diff --git a/docs/algorithms/Average_Algorithm.ipynb b/docs/algorithms/Average_Algorithm.ipynb
index f02b8414faadb17f72824124fc48faa01169cd4a..1afe1ae1896b19abe12ff58945b5ea1011dc794d 100644
--- a/docs/algorithms/Average_Algorithm.ipynb
+++ b/docs/algorithms/Average_Algorithm.ipynb
@@ -1,23 +1,68 @@
 {
  "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# This is always required for inline plot rendering in IPython Notebooks; might\n",
+    "# as well do it first, even before the markdown sections, just to be safe\n",
+    "#%matplotlib inline\n",
+    "%matplotlib notebook"
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
+    "# Average Algorithm - Contents:\n",
     "\n",
+    "This Notebook provides a very brief theoretical basis for the AverageAlgorithm algorithm (there's not very much \"theory\" involved). More importantly, it serves as a deomonstration and validation study for a real time-optimized USGS Dst index product, which combines the SqDistAlgorithm and AverageAlgorithm into a critical USGS geomagnetic data product.\n",
     "\n",
-    "Average Algorithm\n",
-    "-----------------\n",
-    "\n",
-    "Algorithm Theoretical Basis for \"Average Algorithm\"\n",
+    "- [Theoretical Basis](#Theoretical-Basis)\n",
+    "  - [Motivation](#Motivation)\n",
+    "  - [Math and Theory](#Math-and-Theory)\n",
+    "  - [Practical Considerations](#Practical-Considerations)\n",
+    "- [Demonstration and Validation](#Demonstration-and-Validation)\n",
+    "  - [Notebook Functions](#Notebook-Functions)\n",
+    "    - [Imports](#Imports)\n",
+    "  - [24 Hours of Dst4](#24-Hours-of-Dst4)\n",
+    "  - [1 Month of Dst3](#1-Month-of-Dst3)\n",
+    "  - [1 Month of SV and SQ](#1-Month-of-SV-and-SQ)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# [Theoretical Basis](#Average-Algorithm---Contents:)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## [Motivation](#Average-Algorithm---Contents:)\n",
     "\n",
-    "## Summary\n",
-    "The average algorithm creates an averaged stream from each of the traces in the timeseries that is passed to the algorithm. There are checks to ensure that the traces contain the same channels with the same timestamps but come from different observatories. This is used primarily for creating DST (Disturbance Storm Time) event data.\n",
+    "The average algorithm creates an averaged stream from each of the traces in the timeseries that is passed to the algorithm. There are checks to ensure that the traces contain the same channels with the same timestamps but come from different observatories. This is used primarily for creating Dst (Disturbance Storm Time) event data."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## [Math and Theory](#Average-Algorithm---Contents:)\n",
     "\n",
-    "## Math and Theory\n",
-    "The timeseries that is passed to the average algorithm process is looped over each observatory. The data related to each observatory is compiled into a 2D numpy array. As the data is input to the numpy array it is multiplied by a correctional value that defaults to 1 but can be changed by specifying an average_observatory_scale parameter. The correctional value is a weighting scale that varies from 0-1 in order to place a stronger reliance on certain observatories. The data in the 2D numpy array is then averaged into a single array using numpy's mean function. A new stream is created with this new data using a get_trace function that resets the stats to a new channel, station, network, interval, and location.\n",
+    "The timeseries that is passed to the average algorithm process is looped over each observatory. The data related to each observatory is compiled into a 2D numpy array. As the data is input to the numpy array it is multiplied by a correctional value that defaults to 1 but can be changed by specifying an average_observatory_scale parameter. The correctional value is a weighting scale that varies from 0-1 in order to place a stronger reliance on certain observatories. The data in the 2D numpy array is then averaged into a single array using numpy's mean function. A new stream is created with this new data using a get_trace function that resets the stats to a new channel, station, network, interval, and location."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## [Practical Considerations](#Average-Algorithm---Contents:)\n",
     "\n",
-    "## Practical Considerations\n",
     "The averaging function can be called from the command line using the geomag.py script and adding in the optional call to --algorithm average. The algorithm can also be used from your own python script as shown below. This algorithm will take streams of multiple observatories but only one channel may be average at one time. When initializing the algorithm three parameters may be set, observatories, scales, and channel. The observatories and channel may be used as a sort of check to ensure that only the observatories and/or channel you specified are used to create the averaged stream. The scales is used to set the correction factors and must be set in the same order that the observatories are set. Sometimes when using the command line it is necessary to specify the --outchannels argument as some factories, like the iaga writer, will try to set a different outchannel. "
    ]
   },
@@ -25,18 +70,33 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "## Imports"
+    "# [Demonstration and Validation](#Average-Algorithm---Contents:)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## [Notebook Functions](#Average-Algorithm---Contents:)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### [Imports](#Average-Algorithm---Contents:)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [],
    "source": [
     "from geomagio.edge import EdgeFactory\n",
-    "from geomagio.algorithm import AverageAlgorithm\n",
+    "from geomagio.algorithm import AverageAlgorithm, XYZAlgorithm\n",
     "from obspy.core import UTCDateTime, Stream\n",
+    "import numpy as np\n",
     "import matplotlib.pyplot as plt\n",
     "import datetime as dt"
    ]
@@ -45,23 +105,33 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "## Initialize variables and Plot the Input Timeseries"
+    "## [24 Hours of Dst4](#Average-Algorithm---Contents:)\n",
+    "\n",
+    "To begin, we look closely at a single 24 hour interval of legacy and new 4-station Dst. To ensure an \"apples-to-apples\" comparison of just the averaging techniques, the same disturbance values are used as input (namely, those from the legacy USGS Dst algorithm). We do this to highlight a key difference between the AverageAlgorithm's new one-minute Dst, and the USGS's legacy Dst: **The AverageAlgorithm assumes that, if an input is missing, the Dst output at the same time is invalid.**\n",
+    "\n",
+    "One might argue in favor of allowing missing inputs in each average. However, when the number of inputs is small, as is the case with the Dst index, a single missing input can impact the output by introducing very visible non-physical baseline shifts. This behavior is demonstrated in the figure below. At midnight UTC, when the real time feed from the KAK observatory experienced a brief dropout, the legacy algorithm simply averaged the remaining 3 stations, resulting in a brief baseline shift in the Dst output. The new Dst algorithm, however, correctly treats this as bad/missing data.\n",
+    "\n",
+    "Also visible in the figure below is a baseline shift in the HER disturbance data at \\~09:00 UTC. This spike is also visible in both the legacy and new Dst series, albeit muted by a factor of \\~0.25. This is because AverageAlgorithm does not detect/remove such spikes, and the bad data is included in the averaging. Similarly, there are what appear to be somewhat longer (\\~1 hour) baseline shifts across all the observatory disturbance series (e.g., \\~21:00 UTC and \\~11:00 UTC). Even though these offsets mostly average out when multiple observatory series are combined, they can still be seen in the Dst output."
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {},
+   "execution_count": 3,
+   "metadata": {
+    "code_folding": [
+     0
+    ]
+   },
    "outputs": [],
    "source": [
+    "# Read in legacy disturbance from 4 traditional Dst stations\n",
     "channels = ['MSD']\n",
     "observatories = ['SJG','HON','KAK','HER']\n",
-    "start = UTCDateTime('2018-06-01T0:00:00Z')\n",
-    "end = UTCDateTime('2018-06-01T23:59:00Z')\n",
-    "stream3 = Stream()\n",
+    "start = UTCDateTime('2018-06-04T12:00:00Z')\n",
+    "end = UTCDateTime('2018-06-05T12:00:00Z')\n",
     "stream4 = Stream()\n",
     "\n",
-    "input_factory = EdgeFactory()\n",
+    "input_factory = EdgeFactory(host='cwbpub.cr.usgs.gov')\n",
     "for obs in observatories:\n",
     "    stream4 += input_factory.get_timeseries(\n",
     "        starttime=start,\n",
@@ -69,49 +139,833 @@
     "        channels=channels,\n",
     "        observatory=obs,\n",
     "        type='variation',\n",
-    "        interval='minute')\n",
-    "for obs in ['HON','SJG','GUA']:\n",
-    "    stream3 += input_factory.get_timeseries(\n",
-    "        starttime=start,\n",
-    "        endtime=end,\n",
-    "        channels=['MDT',],\n",
-    "        observatory=obs,\n",
-    "        type='variation',\n",
-    "        interval='minute')\n",
-    "    \n",
-    "# # These lines will plot each trace in the stream so that you can see which\n",
-    "# #  observatory is contributing to different features\n",
-    "# stream4.plot()\n",
-    "# stream3.plot()"
+    "        interval='minute')"
    ]
   },
   {
-   "cell_type": "markdown",
-   "metadata": {},
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {
+    "code_folding": [
+     0
+    ]
+   },
+   "outputs": [],
    "source": [
-    "## Initialize the Algorithm factory, run the averaging process and plot the output of the averaged stream"
+    "# Read in legacy Dst4\n",
+    "channels = ['MGD']\n",
+    "streamDst4 = Stream()\n",
+    "\n",
+    "input_factory = EdgeFactory(host='cwbpub.cr.usgs.gov')\n",
+    "streamDst4 = input_factory.get_timeseries(\n",
+    "    starttime=start,\n",
+    "    endtime=end,\n",
+    "    channels=channels,\n",
+    "    observatory='USGS',\n",
+    "    type='variation',\n",
+    "    interval='minute')"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {},
+   "execution_count": 5,
+   "metadata": {
+    "code_folding": [
+     0
+    ]
+   },
+   "outputs": [],
+   "source": [
+    "# calculate NEW Dst4 using AverageAlgorithm\n",
+    "algo = AverageAlgorithm(observatories = ['SJG', 'HON', 'KAK', 'HER'], \n",
+    "                        scales = [1/0.994381, 1/0.92959, 1, 1])\n",
+    "streamDst4New = algo.process(stream4)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {
+    "code_folding": [
+     0
+    ]
+   },
    "outputs": [
     {
      "data": {
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\n",
-      "text/plain": [
-       "<matplotlib.figure.Figure at 0x1c0d13c0d0>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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\n",
+      "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",
+       "        fig.ws.close();\n",
+       "    }\n",
+       "\n",
+       "    this.ws.onmessage = this._make_on_message_function(this);\n",
+       "\n",
+       "    this.ondownload = ondownload;\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._init_header = function() {\n",
+       "    var titlebar = $(\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 / mpl.ratio, fig.canvas.height / mpl.ratio);\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 overridden (by mpl) onmessage function.\n",
+       "        ws.onmessage(msg['content']['data'])\n",
+       "    });\n",
+       "    return ws;\n",
+       "}\n",
+       "\n",
+       "mpl.mpl_figure_comm = function(comm, msg) {\n",
+       "    // This is the function which gets called when the mpl process\n",
+       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
+       "\n",
+       "    var id = msg.content.data.id;\n",
+       "    // Get hold of the div created by the display call when the Comm\n",
+       "    // socket was opened in Python.\n",
+       "    var element = $(\"#\" + 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",
+       "        event.shiftKey = false;\n",
+       "        // Send a \"J\" for go to next cell\n",
+       "        event.which = 74;\n",
+       "        event.keyCode = 74;\n",
+       "        manager.command_mode();\n",
+       "        manager.handle_keydown(event);\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": [
-       "<matplotlib.figure.Figure at 0x1c0d13c190>"
+       "<IPython.core.display.Javascript object>"
       ]
      },
      "metadata": {},
@@ -119,9 +973,11 @@
     },
     {
      "data": {
-      "image/png": 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\n",
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\" width=\"800\">"
+      ],
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x1c160b9790>"
+       "<IPython.core.display.HTML object>"
       ]
      },
      "metadata": {},
@@ -129,62 +985,1003 @@
     }
    ],
    "source": [
-    "algorithm_factory = AverageAlgorithm()\n",
-    "dst4_stream = algorithm_factory.process(stream4)\n",
+    "# plot up 4 disturbance traces, then the two Dst traces\n",
+    "\n",
+    "# generate list of UTCDateTimes for plotting\n",
+    "utc_arr = np.array([(stream4[0].stats.starttime + second) \n",
+    "                    for second in stream4[0].times()])\n",
+    "dt_arr = [utc.datetime for utc in utc_arr]\n",
+    "\n",
+    "# plot disturbance traces\n",
+    "plt.figure(figsize=(8,8))\n",
+    "plt.subplot(611)\n",
+    "plt.plot(dt_arr, stream4[0].data)\n",
+    "plt.xlim([dt_arr[0], dt_arr[-1]])\n",
+    "plt.legend([stream4[0].stats.station], loc='upper left')\n",
+    "plt.ylabel('nT')\n",
+    "plt.gca().set_xticklabels([])\n",
     "\n",
-    "algorithm_factory = AverageAlgorithm(scales=[0.92959,0.994381,0.9999])\n",
-    "dst3_stream = algorithm_factory.process(stream3)\n",
+    "plt.subplot(612)\n",
+    "plt.plot(dt_arr, stream4[1].data)\n",
+    "plt.xlim([dt_arr[0], dt_arr[-1]])\n",
+    "plt.legend([stream4[1].stats.station], loc='upper left')\n",
+    "plt.ylabel('nT')\n",
+    "plt.gca().set_xticklabels([])\n",
     "\n",
-    "# to ensure that the scales go with the correct observatories, observatories \n",
-    "# can also be set during initialization, order of observatories must be same order as scales\n",
-    "algorithm_factory = AverageAlgorithm(observatories=['SJG','GUA','HON'],scales = [0.994381, 0.9999, 0.92959])\n",
-    "dst3_diffinit = algorithm_factory.process(stream3)\n",
+    "plt.subplot(613)\n",
+    "plt.plot(dt_arr, stream4[2].data)\n",
+    "plt.xlim([dt_arr[0], dt_arr[-1]])\n",
+    "plt.legend([stream4[2].stats.station], loc='upper left')\n",
+    "plt.ylabel('nT')\n",
+    "plt.annotate('KAK\\nmissing', (dt_arr[720], -7), (dt_arr[720], 5), \n",
+    "             arrowprops={'arrowstyle':'->'})\n",
+    "plt.gca().set_xticklabels([])\n",
     "\n",
+    "plt.subplot(614)\n",
+    "plt.plot(dt_arr, stream4[3].data)\n",
+    "plt.xlim([dt_arr[0], dt_arr[-1]])\n",
+    "plt.legend([stream4[3].stats.station], loc='upper left')\n",
+    "plt.annotate('HER\\nspike', (dt_arr[1260], 20), (dt_arr[1080], 20), \n",
+    "             arrowprops={'arrowstyle':'->'})\n",
+    "plt.ylabel('nT')\n",
     "\n",
-    "dst4_stream.plot()\n",
-    "dst3_stream.plot()\n",
-    "dst3_diffinit.plot()"
+    "plt.subplot(615)\n",
+    "plt.plot(dt_arr, streamDst4[0].data)\n",
+    "plt.xlim([dt_arr[0], dt_arr[-1]])\n",
+    "plt.legend(['Legacy Dst4'], loc='upper left')\n",
+    "plt.ylabel('nT')\n",
+    "plt.annotate('KAK\\nmissing', (dt_arr[720], 0), (dt_arr[720], 5), \n",
+    "             arrowprops={'arrowstyle':'->'})\n",
+    "plt.annotate('HER\\nspike', (dt_arr[1260], 10), (dt_arr[1080], -2), \n",
+    "             arrowprops={'arrowstyle':'->'})\n",
+    "\n",
+    "plt.subplot(616)\n",
+    "plt.plot(dt_arr, streamDst4New[0].data)\n",
+    "plt.xlim([dt_arr[0], dt_arr[-1]])\n",
+    "plt.legend(['New Dst4'], loc='upper left')\n",
+    "plt.ylabel('nT')\n",
+    "plt.annotate('KAK\\nmissing', (dt_arr[720], -2), (dt_arr[720], 5), \n",
+    "             arrowprops={'arrowstyle':'->'})\n",
+    "plt.annotate('HER\\nspike', (dt_arr[1260], 10), (dt_arr[1080], -2), \n",
+    "             arrowprops={'arrowstyle':'->'})\n",
+    "\n",
+    "plt.tight_layout()"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "## Set observatory scale/corrections and re-run the process. The Plot shows the scaled version of the averaging function."
+    "## [1 Month of Dst3](#Average-Algorithm---Contents:)\n",
+    "\n",
+    "If one were to examine the actual H measurements (that is, before the removal of secular variation (SV) and solar quiet (SQ) baselines), none of the baseline shifts noted previously are apparent. This indicates a flaw or flaws in the legacy algorithm's SV and SQ removal routines. While this document is not intended to demonstrate or re-validate the SQDistAlgorithm (the newer tool used extract \"disturbance\" from measured data), it is worth looking at a longer interval to assess the quality of the new Dst algorithm relative to the legacy algorithm.\n",
+    "\n",
+    "To this end, we look at a month of legacy and new 3-station Dst. Here the goal is not necessarily an \"apples-to-apples\" comparison of the different averaging techniques, just one component of the respective Dst algorithms, but rather to provide an high-level comparison of the two Dst algorithms as run in real time operations. The interval below was chosen because 1) it contained a geomagnetic storm, and 2) all observatories were operating more-or-less nominally.\n",
+    "\n",
+    "Overall, the two Dst traces follow each other quite closely, with a 0.95 correlation estimated for this interval. There are numerous seemingly random deviations of the legacy Dst from the new Dst output, and if one zooms in, it can be seen that most of these are the non-physical baseline shifts noted previously. There is also a weak diurnal signal in the difference between the two traces . Neither algorithm is able to remove the diurnal SQ signal perfectly. However, noting that the legacy algorithm uses a Fourier Transform of the previous 6 months of measurements, while the new algorithm has a \"memory\" of only 30 days, it is perhaps reasonable to assume that the new algorithm is doing a better job of capturing the continually evolving diurnal SQ signal during this interval.\n",
+    "\n",
+    "These, however, are rather minor discrepancies. A major discrepancy, one that suggests a significant error in the legacy Dst trace, is the delayed drop in the GUA disturbance series as the geomagnetic storm ramps up during the early hours (UTC) on the 26th of August. This discrepancy is muted in the final Dst trace, but still quite obvious, especially when one zooms in on the storm. It is also unclear why the legacy algorithm produces magnetic disturbance values for GUA between 12:00 on September 10th, and 12:00 on September 11th, when this is a known gap in the historical archives.\n",
+    "\n",
+    "In conclusion, the new USGS Dst algorithm (a combination of SQDistAlgorithm and AverageAlgorithm) offers a reliable real-time, high-resolution alternative to the traditional Dst index."
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
-   "metadata": {},
+   "execution_count": 7,
+   "metadata": {
+    "code_folding": [
+     0
+    ]
+   },
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "read_wave_server_v returned flag FG - requested data lie in tank gap\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Read in legacy production disturbance for Dst3 stations\n",
+    "channels = ['MSD']\n",
+    "observatories = ['SJG', 'HON', 'GUA']\n",
+    "start = UTCDateTime('2018-08-16T00:00:00Z')\n",
+    "end = UTCDateTime('2018-09-15T00:00:00Z')\n",
+    "stream3plusDst3Legacy = Stream()\n",
+    "stream3MVH = Stream()\n",
+    "\n",
+    "input_factory = EdgeFactory(host='cwbpub.cr.usgs.gov')\n",
+    "for obs in observatories:\n",
+    "    stream3plusDst3Legacy += input_factory.get_timeseries(\n",
+    "        starttime=start,\n",
+    "        endtime=end,\n",
+    "        channels=channels,\n",
+    "        observatory=obs,\n",
+    "        type='variation',\n",
+    "        interval='minute')\n",
+    "\n",
+    "# Read in actual legacy Dst3 calculated in real time\n",
+    "stream3plusDst3Legacy += input_factory.get_timeseries(\n",
+    "    starttime=start,\n",
+    "    endtime=end,\n",
+    "    channels=['MGD'],\n",
+    "    observatory='USGS',\n",
+    "    type='variation',\n",
+    "    interval='minute')\n",
+    "\n",
+    "#stream3plusDst3Legacy.plot()\n",
+    " \n",
+    "# Turns out GUA disturbance was never stored on Edge, but we can reconstruct \n",
+    "# it given that we know what the scale factors were\n",
+    "gua_array = (3 * stream3plusDst3Legacy.select(station='USGS')[0].data - \\\n",
+    "             (.994381 * stream3plusDst3Legacy.select(station='SJG')[0].data + \\\n",
+    "              .92959 * stream3plusDst3Legacy.select(station='HON')[0].data)) / .9999\n",
+    "    \n",
+    "stream3plusDst3Legacy.select(station='GUA')[0].data = gua_array"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {
+    "code_folding": [
+     0
+    ]
+   },
+   "outputs": [],
+   "source": [
+    "# Read in new production disturbance for Dst3 stations\n",
+    "channels = ['MDT']\n",
+    "observatories = ['SJG', 'HON', 'GUA']\n",
+    "start = UTCDateTime('2018-08-16T00:00:00Z')\n",
+    "end = UTCDateTime('2018-09-15T00:00:00Z')\n",
+    "stream3plusDst3New = Stream()\n",
+    "\n",
+    "input_factory = EdgeFactory(host='cwbpub.cr.usgs.gov')\n",
+    "for obs in observatories:\n",
+    "    stream3plusDst3New += input_factory.get_timeseries(\n",
+    "        starttime=start,\n",
+    "        endtime=end,\n",
+    "        channels=channels,\n",
+    "        observatory=obs,\n",
+    "        type='variation',\n",
+    "        interval='minute')\n",
+    "\n",
+    "# # Read in actual new Dst3 calculated in real time\n",
+    "# stream3plusDst3New += input_factory.get_timeseries(\n",
+    "#     starttime=start,\n",
+    "#     endtime=end,\n",
+    "#     channels=['UX3'],\n",
+    "#     observatory='USGS',\n",
+    "#     type='variation',\n",
+    "#     interval='minute')\n",
+    "\n",
+    "algo = AverageAlgorithm(observatories = ['SJG', 'HON', 'GUA'], \n",
+    "                        scales = [1/0.994381, 1/0.92959, 1/.9999])\n",
+    "stream3plusDst3New += algo.process(stream3plusDst3New)\n",
+    "\n",
+    "\n",
+    "#stream3plusDst3New.plot()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {
+    "code_folding": [
+     0
+    ]
+   },
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x1a0ced1290>"
+       "masked_array(data =\n",
+       " [[1.0 0.9542974361058707]\n",
+       " [0.9542974361058707 1.0]],\n",
+       "             mask =\n",
+       " [[False False]\n",
+       " [False False]],\n",
+       "       fill_value = 1e+20)"
       ]
      },
+     "execution_count": 9,
      "metadata": {},
-     "output_type": "display_data"
+     "output_type": "execute_result"
     }
    ],
    "source": [
-    "scaled_factory = AverageAlgorithm(observatories = ['HON','HER','KAK','SJG'],scales = [.2, 2, .5, .5])\n",
-    "averaged_scaled_series = scaled_factory.process(stream4)\n",
-    "averaged_scaled_series.plot()"
+    "# calculate correlation coefficient, allowing for gaps\n",
+    "np.ma.corrcoef(np.ma.masked_invalid(stream3plusDst3Legacy[3].data), \n",
+    "               np.ma.masked_invalid(stream3plusDst3New[3].data))"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
-   "metadata": {},
+   "execution_count": 10,
+   "metadata": {
+    "code_folding": [
+     0
+    ],
+    "scrolled": false
+   },
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
+      "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",
+       "        fig.ws.close();\n",
+       "    }\n",
+       "\n",
+       "    this.ws.onmessage = this._make_on_message_function(this);\n",
+       "\n",
+       "    this.ondownload = ondownload;\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._init_header = function() {\n",
+       "    var titlebar = $(\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 / mpl.ratio, fig.canvas.height / mpl.ratio);\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 overridden (by mpl) onmessage function.\n",
+       "        ws.onmessage(msg['content']['data'])\n",
+       "    });\n",
+       "    return ws;\n",
+       "}\n",
+       "\n",
+       "mpl.mpl_figure_comm = function(comm, msg) {\n",
+       "    // This is the function which gets called when the mpl process\n",
+       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
+       "\n",
+       "    var id = msg.content.data.id;\n",
+       "    // Get hold of the div created by the display call when the Comm\n",
+       "    // socket was opened in Python.\n",
+       "    var element = $(\"#\" + 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",
+       "        event.shiftKey = false;\n",
+       "        // Send a \"J\" for go to next cell\n",
+       "        event.which = 74;\n",
+       "        event.keyCode = 74;\n",
+       "        manager.command_mode();\n",
+       "        manager.handle_keydown(event);\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": [
-       "<matplotlib.figure.Figure at 0x1c16290390>"
+       "<IPython.core.display.Javascript object>"
       ]
      },
      "metadata": {},
@@ -192,9 +1989,11 @@
     },
     {
      "data": {
-      "image/png": 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Y83Bh9f3cc88xefJkEhMTr7mN5ORkXn75ZWrVqkX16tV5/vnns2zvhx9+oEGDBlSsWJFXX301x300bNiQTp06sWPHDue+WbNmMX78eMqVK0eXLl3o378/c+fOvWpbfn5+hIaGMmfOHL744gv27t3L8ePHiYyM5NFHH8XT0xMfHx/69OmTYerQ+fPnncc3bNgQHx8fAHx9fYmPj3fWi42NZdGiRTRv3pyDBw9m+w2CiIiIiBSTpB74L7AIKA/cCfzLGNO4MDru3bs3NWvWvGK0PjemTZvG4sWL+fXXX9m1axcbNmzg7bffvqLeiRMnGDx4MB9++CFRUVGcO3eO48eP56iPsLAwNmzYQP369QE4deoUp06dokWLFs46LVu2ZO/evTmOu23btlSvXp3169dTtWpV6tSpw7333suCBQs4c+bMFfXj4uLw8vKiTJkylC9f3rnfx8eHixcvOqfa7N+/n6SkJBYsWEDHjh1ZuXJljmMSERERKYmKS1JfF/jCWptird0G7AeCL69kjPE2xvinbUC+LIY+bty4PI3Wz507l1GjRlGjRg0CAwMZO3YsX3755RX1Fi5cSOfOnQkNDcXb25sJEyZcte0ePXrg5+dHcHAwXbt25YknngAco+He3t6ULl3aWdff35/Y2NhcxV69enXOnj2Lh4cHq1atokKFCjzzzDNUrVqVW265hRMnTjjrXrp0KdOHdvn4+GCt5dKlS4Ajqa9WrRpBQUFcd9112U4JEhEREZHik9RPBYYaYzyNMe2B2sAvmdQbDZxPtx3Lj8779OlD9erVM8xXz43IyEjq1KnjfF23bl0iIyOvqBcVFUXt2rWdr8uWLUuFChWybXvlypXExMQwf/58tm7dyoULFwDHFJhLly5luMk3OjoaPz+/XMUeFRXljKFu3bp8/PHHHD16lL179/Lnn3/ywgsvOOteunSJUqVKXdFG2jSctCk4Bw4coFOnThhjaNSoEYcOHcq079jYWGbNmpXhZt0jR45w5MiRXL0HEREREXdXXJL6H4FHgYvABmCMtfZkJvVeAwLSbbXyK4C8jNbXqFGDo0ePOl8fPXqUGjVqXFGvevXqREREOF9fuHCBs2fPXrV9YwyDBg2ia9euTJo0CYDAwEACAwPZvXu3s97OnTtp1qxZjuPetm0bUVFRdO7c+Yqy4OBgHnjgAfbs2QNASkoKCQkJmY7Ue3p64uXl5Uzqw8LC6NixIwCNGjXi7NmznDx55a/zgQceYOjQoSxYsABwXJQ0a9aMoKAgpkyZkuP3ISIiIuLu3D6pN8ZUAn4ARgDeQCtggjHmxsvrWmsvWWuj0zYg355yFBoaStWqVfnuu+9yfexdd93FG2+8QVRUFKdPn2bixInce++9V9Tr378/69evZ9myZSQkJDB+/Phc9fPiiy/y8ccfO+e733///UyYMIHY2FjWr1/P4sWLueeee67azoULF1i2bBn33XcfgwcPplmzZpw+fZpXX32VI0eOYK3l2LFjzJ07l/bt2wP/Pwrv5eWVaZtpK+AkJCSQkJBASEgIAG3atAFg8+bNGeqfOXOGhQsXAjBz5kwAFixYQFxcHH369GHUqFGsWbOG66+/nqlTp+bqPImIiIi4G7dP6oH6wHlr7bfW2mRr7R5gFdCtsAMZN24cf/3111XrJScn4+fnx8aNGwF48sknCQ0NpV27drRo0YL27dtnmLaSplq1anz++ec8/vjjVKtWjYCAAKpVq+Ysf/XVV7nllluy7Ld58+Z06tSJ999/H4CJEyfi6+tLtWrVuO+++/j3v/9NgwYNAFi1ahXly5fP8M3DmDFjKFeuHNWqVWP06NE8+eSTzilH3t7ehIWF0bVrV/z8/Gjfvj3NmjXjzTffBHAuWZldUn/+/HliY2MJDAykbdu2AAQFBREYGMiGDRsy1F+9ejWJiYm8/PLLLFy4kJ49e/LAAw/Qu3dvpk+fjpeXF927d2f37t2Z3nQsIiIiUpwYa62rY8gTY0wA8AcwFFiI4wbZFcAj1tofr3KsP3D+/Pnz+Pv7Z1nvrbfeYvPmzTla7rG4sNayc+dOfH19adw49wsJWWsJCwvDw8ODhg0bEh4eTmJiIk2aNMm0/oULF9izZw933XUXjz/+OGPGjHGWDRkyhB07djin8gCMHDmSefPmsX//frp27cqRI0eoUKECP/zwA02aNOHPP//k008/JT4+nkmTJvHGG2/w4osv5v5EiIiIiBSi6OhoAgICAAJSZ5bkyJUTnN2Mtfa8MeYe4J/AF8BZYOrVEnrJXlxcHElJSURHRxMdHZ3tRU9mzp0753xK7NatWwGoWbNmlvXLli1Ls2bNCAwM5Prrr89QdtdddzF79mz279/vvCjYuHEjHTt2xNfXly1btmCMyXBMzZo1GTNmDNZazp49y5gxYxg6dGiGbzZEREREioviMP0Ga+1P1tpW1tpy1to61trJ+dl+qVKlSEpKys8mi7yYmBg8PDwoU6YMp0+fzvXxUVFR+Pv74+vrC0CZMmWoUqVKtsd4eXlhjLlihZzQ0FD8/f35/PPPAccqOlu2bKFTp04AVyT06RljmDBhAtZa5s+fn+v3ISIiIuIOikVSX9Dq1KnDsWPHiI7O8Tcgbi9tecsKFSoQHR1NbqZpxcTEEBcXR5UqVWjSpAktW7akadOmmS5nmV7ag6/SL+8JjguCRx99lI8++oiYmBi2b99OQkKCc4Wcq6lUqRJdunRh+fLlOX4PIiIiIu5ESX0OhISE4OHhwfjx4zl2LF+Wti/SUlJSiI2Nxd/fn4CAAJKSkpzr22cnISGBP/74g0OHDlG2bFkCAgIwxuDl5YWHR9YfNWst+/fv54033qBGjRo0bdr0ijrPPfecc136TZs2UaZMGVq2bJnj99S1a1fWrVuXq4sTEREREXfh9jfK5kVOb5QFWL9+PaNGjeLixYt4e3tfddTZnSUkJHDmzBkqV66Ml5cXJ06coGzZslk+mCo5OZlz586RkJCAh4cHPj4++Pn5ZZvIp5eUlERCQgJVqlRh6tSp1K9fP9N6Xbt2pWrVqnh6enLs2DHWrVuX4/e0dOlSQkNDOXDgAMHBVzxsWERERKRIKLE3yhaWzp07s2zZMjZt2sTx48eL9Yjv/Pnz2bNnD+PGjcPDw4M33niDpKQknnjiiSvqJiUl8dJLLxEfH0/fvn3p1q1b2gcxx0qVKkVQUBBt27bN9mIpJCSEjz76CG9vbwYPHpyrPjp27IiHhwerVq1SUi8iIiLFjpL6XPDx8aFHjx6uDqPATZ8+nT59+jBkyBAAIiMjGTt2LB4eHowdO5ZXX32Ve+65h+TkZMaNG0dUVBTbt2+nVatWBRrXoEGDmDhxIkCmT7HNTrly5ejXrx+TJk1i2LBhOf4WQURERMQdaPpNDqfflCSBgYE8++yzjB07FoBTp05Rq1YtEhISrqhrjGH8+PH8z//8T4HHZa2lZcuW7Nmzh4sXL1K6dOlcHb969WpCQkLYtm0brVu3LqAoRURERK7dtU6/0XClZHDy5ElOnz6d4WbVwMBAfv75Z6ZMmcKlS5eYMmUKFStWZPz48WzevLlQEnpwXEBs3bqVU6dO5TqhB+jQoQM+Pj6sWLGiAKITERERcR2N1GukPoNvv/2WQYMGERYWRqNGjbKsZ63Ndn34oqpPnz54eXmxaNEiV4ciIiIicgWN1Eu++Pjjj2nfvn22CT1k/8CnoqxXr16sXLmSc+fOuToUERERkXyjpF6cwsLC+Omnn3jyySddHUqBGTp0KAkJCXz99deuDkVEREQk3yipF6c333yTmjVrcs8997g6lAJTvXp12rRpw7fffsuRI0dcHY6IiIhIvlBSL05r1qzh1ltvxcfHx9WhFKhevXqxePFigoKCXB2KiIiISL5QUi8A/PXXX4SFhXHjjTe6OpQCN2bMGOfqPocPH+bEiROaYy8iIiJuTQ+fKqFSUlJ48cUX2bdvH3379iUgIABjDD179nR1aAWubNmybNiwgfLly1O/fn0AGjZsyL59+/Dy8nJxdCIiIiK5p5H6EigxMZH//Oc/vPPOOxw6dIgRI0bw8MMPc9NNN1GzZk1Xh1coAgICeP755ylbtiytWrXi0KFDfPXVV64OS0REROSaaJ36ErZO/S+//EKHDh0AuPfee/nyyy/54IMPmD9/Pu+99x7XX3+9iyMsPOnX2u/Xrx/Hjx9n27Ztbrtcp4iIiLg/rVMvObJw4UIA6tSpw+uvvw7AU089xYoVK0pUQg8Z19ofOXIkO3bs4Oeff3ZhRCIiIiLXRiP1JWik3lpLmzZtaNiwIfPmzXN1OEWKtZbWrVsTFBTEt99+6+pwREREpITSSL1c1fz589mxYwfDhg1zdShFjjGGxx9/nB9++IF9+/a5OhwRERGRXFFSX0L8+eefPP744wwaNIjevXu7Opwi6ZFHHqFatWp8+OGHrg5FREREJFeU1JcA1loeeughypQpw8cff6wbQbPg7e3NLbfcwk8//eTqUERERERyRUl9CbBixQqWL1/O9OnTqVSpkqvDKdL69u3LoUOHCA8Pd3UoIiIiIjmmpL4EmDNnDo0bN6Zfv36uDqXI69mzJ15eXixevNjVoYiIiIjkmJL6EmDjxo306NFD025yoFy5cvTu3VsPohIRERG3oqS+mDt79iz79u1zPnBKru7WW29l48aNxMbGFlgf1lp27NhBQkJCgfUhIiIiJYeS+mJu6dKlWGvp1auXq0NxG126dCE5OZlffvmlQNpPSkqiZ8+etG7dGm9vb3777bcC6UdERERKDiX1xdzixYtp0aIFtWrVcnUobuO6666jYsWKrFu3rkDaf+SRR1i9erXzeQETJkygJD8ETkRERPJOSX0xlpKSwpIlS7j55ptdHYpb8fDwoFOnTqxduzbf246KiuLzzz9n4sSJfPzxx9x9993MmjWL77//Pt/7EhERkZKjWCT1xphAY8wiY0ycMeagMeYmV8dUFGzdupVTp04pqb8G3bt3Z8OGDVy8eDFf2/3+++8pVaoUjz/+OABvv/02AA888ECBzuEXERGR4q1YJPXAB0AkUBkYBcwzxlRwbUiuERsby+LFi7HWsmTJEgICAujYsaOrw3I7ffr0IT4+Pt+n4Hz77bd069bN+byAWrVqMXnyZKKjozVaLyIiItfM7ZN6Y4wfcCvwP9baOGvtd8Ae4JZM6nobY/zTNqBcIYdbYL755htCQ0MJDAykf//+TJ48mUWLFtGnTx+8vLxcHZ7badGiBdWrV8/Xp8ueO3eOFStWcNttt2XYP3r0aIKDgwtsDr+IiIgUf56uDiAfNALOW2uj0u3bCTTLpO5oYFyhRFWI9uzZwx133EHjxo15+eWX2bNnD6+88goA//jHP1wcnXsyxtC7d29WrFiRb20+/fTTAFck9QCdO3dm/fr1+daXiIiIlCzFIan3A6Iv2xcNlM+k7mvAO+lelwOOFVBchWbWrFlUrlyZ3bt3U7p0aay13H///ezevZtBgwa5Ojy3deONN/Lll19y6dIlvL2989TWyZMnmTt3Lq+99hp16tS5orxz587MnDmT8+fPExAQkKe+REREpORx++k3QCzgf9k+/9T9GVhrL1lro9M2IKYwAixoe/fupUOHDpQuXRpwjDIPHDiQMWPG6CmyedC2bVsSExPZuXNnntsaO3Ys5cqV46GHHsq0vEuXLlhr2bhxY577EhERkZKnOCT1vwEBxphq6fa1BPZea4NLly6lTZs2DB8+PM/BFYYjR45Qt25dV4dR7LRu3ZoKFSrkyw2sy5Yt48EHH6Ry5cqZljdq1IjAwEBNwREREZFr4vZJvbU2Fvge+F9jjI8xZiDQHPjhWtrbuXMnt99+O9u3b2f69OkcP348P8PNd9Za/vjjDyX1BaB06dIMGjSIOXPm5OnhUKdPn+bw4cO0b98+yzrGGDp27FhgT7EVERGR4s3tk/pUfwNqA2eAt4C7rbVnc9OAtZZ9+/YxcOBA6tWrR0REBF5eXsydO7cg4s03p0+fJiYmhnr16rk6lGLp3nvvJTw8nK1bt15zG3PmzKFUqVJ0794923qtWrVix44derqsiIiI5FqxSOqttaestTdba32ttY2ttctz28Z3330YNKgmAAAgAElEQVRHs2bNiIyMZPLkydSqVYt+/foxe/bsggg532zZsgWANm3auDiS4ikkJIQqVaowZ86cazo+KSmJ999/n0GDBlGjRo1s67Zq1YpTp04V+W+HREREpOgpFkl9foiMjAQgIiKCW2+9FYAhQ4awefNmfvvtN1eGlq1Vq1ZRqVIl6tev7+pQiiVPT0/uuusu5s6dS0pKSq6PnzRpEocOHeKFF164at2WLVsC5MuNuSIiIlKyKKlPFR8fT0BAANWq/f/9tgMGDKBs2bLMmzfPhZFlLT4+nqlTp/LQQw9plZsCNGTIEI4dO8asWbNyfez8+fMZMmQIN95441Xr1qtXD39/f3bs2HEtYYqIiEgJpqQ+1cWLFylTpkyGfT4+PvTv35+vv/7aRVFlb/v27cTFxTF48GBXh1KsdejQgfvuu48HH3yQN954I0dz3q21/O1vf2P37t3069cvR/14eHjQrl07li1blteQRUREpIRRUp8qs6Qe4O6772b79u2sWrWq8IO6is2bN+Pt7U2LFi1cHUqxN2XKFKpWrcqoUaP497//fdX6a9eu5aOPPqJ9+/bceeedOe7n0UcfZcWKFezfvz8v4YqIiEgJo6Q+VVZJ/a233kq3bt0YNmwYly5dAuDSpUvMmzePCRMmsGvXrkzbW7NmDdHRlz/oNn/9+uuvtG7dGi8vrwLtRyAwMJCwsDAGDRrEW2+9RWJiYpZ1rbWMGjWK5s2bs2nTJjw9c/7g5jvvvJOqVasycOBAPYhKREREckxJfaqsknpPT08++ugjDh8+zKuvvoq1loEDB3L33Xfz+uuvExISQlRUVIZjFi1aRPfu3endu3eBLk+4efNmbrjhhgJrXzLy9/dn7NixHD58mClTpmRZb9++fWzatInJkyfn+l6H0qVLM2fOHA4dOsTrr7+e15BFRESkhFBSnyo+Ph4fH59My5o2bcqrr77KpEmTePDBB1m6dClff/01ERERlC5dmu7du3Ps2DFn/Q8++ABwjKQvWbIkT3FZazly5EiGlVcOHjxIhw4d+O233+jdu3ee2pfcadWqFc888wzjxo3j6NGjmdb55ptvKFeuHH369LmmPkJCQnjzzTdZunQpFy5cyEu4IiIiUkIoqU+V1Uh9mpdeeomRI0cye/Zs+vbty6BBg6hUqRI//vgjMTExPPjgg8THx3PmzBmWLVvG1KlT6dy5M2+//Xae4nrqqacICgqiZcuWrF+/HoBx48Y5nzzav3//PLUvuffqq6/i7e3N9OnTMy2fP38+AwYMwNvb+5r7uP3227l48SI//vjjNbchIiIiJYeS+lRXS+qNMbz55pvEx8ezZMkS57SKVq1a8dlnn7FmzRp8fX3p0qULKSkp3HnnnfTt2zfLOfc58ccff/DRRx8xbNgwvLy8ePTRR7HWOuMcNmwYHh76FRa2cuXK0bdv30y/hQkPD2fnzp0MGjQoT300aNCAGjVq5OnzIyIiIiWHMsJUV0vq05QuXfqKfX369GH58uV06dKFDh06sHDhQqpWrUrDhg05ffo0586du6aY0kbmJ02axGuvvcbBgwfZvXs3f/zxB7179+bDDz+8pnYl726++Wa2bt3qfPqrtZavvvqKcePGUbp0afr27ZvnPmrXrp1hWpeIiIhIVpTUA2+++Sbnz5/PUVKfle7du7N27VpmzpzpXJe8UaNGAM4n0lpreeyxx2jevDlz5869apsbNmygcePGBAYGEhISgo+PD9OnT+eXX34hJCQkV6uqSP4KDQ3FGMOPP/5IZGQk1113Hffccw+zZ8+mZcuW+Pn55bmPWrVqKakXERGRHFFSD0ycOJH169fnKanPTJMmTfD09GTz5s2AY7nCTz75BE9PT4YOHcrp06ezPX79+vV07twZAG9vb7p27crUqVNJSkrimWeeyddYJXcCAwNp1KgRDz/8MDVr1uTcuXOMGDGC1q1b89hjj+VLH0rqRUREJKeU1KeT30m9r68v7du3Z8WKFURERPDNN98wduxYli1bhjGGkSNHZnnsyZMn2bVrF126dHHu69WrFwD16tWjXLly+Rqr5N64ceOcP//444+8++67bNu2jeHDh+dL+/Xq1ePw4cMkJSXlS3siIiJSfCmpB1q2bAnA7t27873tW265hcWLFzNjxgxKly7NCy+8QGBgIJMnT+a///3vFWvcHzlyhJiYGL766is8PDy49dZbnWVpN1/Wrl073+OU3Bs8eDBHjx5l9+7dtG7dOt/bb9u2LfHx8ezduzff2xYREZHiRUk9OB/yM3DgwHxve+jQoSQnJzN+/Hj69+9PQEAAAA8//DClSpXim2++AWDr1q3UqlWLoKAg/P39eeaZZwgNDaVSpUrOtho0aMC2bdv47LPP8j1OuTa1a9emefPmBdJ2mzZtKFWqlHP5UhEREZGsmIJ84mlRZ4zxB86fOHGCwMDAXD/9M6eWLl1KWFgY999/PxUqVHDu79u3LzExMaxbt46QkBDWrFlDYGAgzZs3x9PTkzFjxtC9e/cCiUncQ6tWrWjXrh3/+c9/XB2KiIiIFILo6Oi0QeAAa210To/T8ik45tIXVEIPjiUvM3u66FNPPcXAgQN55513WLNmDe+88w4jRowo0FjEvdx4443OpU1FREREsqLpNy40YMAAGjdu7LxhtmfPnkroJYOQkBD27t1LZGSkq0MRERGRIkxJvQsZY5g4cSLly5fnm2++cd6wK5KmT58+zvXwRURERLKiOfVw/vz58/j7+7ssDmutRuglSx06dKB27drMmzfP1aGIiIhIAbvWOfUaqS8ClNBLdnr06MGmTZtcHYaIiIgUYUrqRYq4Zs2acezYMaKjc3yxLiIiIiWMknqRIq5JkyYAHDhwwMWRiIiISFGlpF6kiLvuuusA2Ldvn4sjERERkaJKSb1IEVe2bFnq1aunpF5ERESypKRexA00bdqUvXv3ujoMERERKaKU1Iu4gRtvvJF169aRmJjo6lBKhEuXLnHy5ElXh+F2EhMTeeSRR9iwYYOrQxERKXGU1Iu4gVtuuYXo6GgmTJjg6lBKhPr161OrVi1K8nM8rsVPP/3EzJkzueWWWzRdTESkkLl9Um+Muc8YE2aMiTbGbDHGdHB1TCL5rXXr1tx2220sXLjQ1aEUe5GRkURGRpKYmMjvv//u6nDcyvvvv0/Tpk2pVKkSbdq0YefOna4OSUSkxHDrpN4YUx2YCQwHAoCPAT12U4qlLl26EBYWRkpKiqtDKfIiIiJ4/vnnOX78eK6P3bx5s/NnTSPJub/++oulS5fywgsvsG7dOgA+++wzF0clIlJyuHVSD9QATlhrV1nH9+SzgFrGmHKZVTbGeBtj/NM2INN6IkVRcHAwcXFxREZGujqUIsFay44dO0hOTr5i/9133827777Ll19+CUBycjJ///vfmT59+lXb3bt3L+XLl6dz584899xzHDlypCDCL3bSLoa6du1KlSpVGDJkCMuXL3dxVCIiJYe7J/U7gCPGmF7GmFLAQ8Ama21MFvVHA+fTbccKJUqRfNC4cWMADh486OJIiob//ve/tG7dmtDQUJYvX86pU6cA+OGHH9i0aRMAq1evZvHixXh6evKvf/2L4cOH8/PPP2fbbkREBHXr1mXKlCmcOXNGiWkO/frrr5QvX56GDRsC0KlTJ/bs2aMnIYuIFBK3TuqttcnAXOB74BLwKvC3bA55Dcc0nbStVkHHKJJfgoKC8PT0LNFJ/cmTJ7n99tvZtm2bcxR+w4YN9O7dm0GDBpGYmMiECRPo3r07o0aNYtu2bTzzzDMAjBw5kp49e9KnTx8CAwMZPnx4pn1ERERQu3Zt2rZtS+3atTl8+HChvT93tnnzZtq3b48xBoAbbrgBa63m1YuIFBJPVweQHWPMUqBbFsUTgc3AK8ANwAHgNmChMSbYWht7+QHW2ks4kv+09vM9ZpGC4uXlRYMGDQgLC3N1KC4zbtw4vvvuO6pUqcK+ffsYPXo0Tz/9NEuXLuXRRx/lvvvuY+vWrXz33XdER0cTEREBwMKFC+nfvz8nT57k3Xff5cSJE0yfPp3Q0FBKlSpFv3798Pb2BhxJfefOnQGoV6+ekvocCAsLY8WKFTz//PPOfQ0bNsQYQ1hYGF27dnVhdCIiJUORTuqttX2yKzfGvAj8bK1NeyrPfGPMFKAJjoRfpFhp3LhxiR2pj42NZfbs2QAsXryYY8eO0bRpU2rUqMFDDz3Etm3beP/99/Hy8uKmm27it99+cx7bs2dPAKpUqcJrr73GxYsX2bVrF3feeScAjz/+OB999BFhYWEcPHiQRx55BHB8O5K+HcnckCFDqFWrFk8//bRzn4+PD3Xr1i2xn1cRkcJWpJP6HNgCjDDGBANhwECgPHDIpVGJFJDg4GDmz5/v6jAK1bp161iwYAEHDhwgNjaW1157jdGjRwPQpk0bZ73Ro0dz9OhR7rjjDvz8/GjZsiX33HMPlSpVwsfHJ0ObZcqUYfPmzfzyyy+89957fP755zRp0oQRI0YAcO+99wKOpH7p0qWF9E7d0+7du9m8eTPff/89VapUyVAWHByspF5EpJC4dVJvrV1pjHkH+AmoBBwB7rPWnnVpYCIFJDg4mCNHjnDx4kXKlCnj6nAKXFxcHLfeeisxMTEkJiby9NNP89BDDzmT+iZNmjjrVq9ene+++8752sPDgzlz5mTZtjGGDh068Pbbb7Ns2TJnQv/SSy9RtWpVwJHUHz9+nPj4+CsuDMRh3rx5lC9fntDQ0CvKgoODdVEkIlJI3PpGWQBr7dvW2nrW2nLW2hbW2h9cHZNIQQkODsZaS3h4uKtDKRQ//vgjf/31F3v37iUmJoYpU6ZQrVo1li1bxvfff58v98XUrFmTOXPmULlyZebPn89rr73mLKtXrx6AlrXMxtdff83AgQMpXbr0FWWNGzcmPDycpKQkF0QmIlKyuPVIvUhJk35Zy2bNmrk4moK3fPlyGjZsSKNGjTLs79WrV77207t3b06ePHnFRULdunUBx82z6b8VEIfly5ezf/9+/vnPf2ZaHhwcTGJiIocPH77idygiIvnL7UfqRUqSKlWqEBAQUGLmKf/888/cdNNNhdJXZqP+FStWBODsWc3ou5y1lieeeIKWLVvSp0/maxoEBwcDeraCiEhhUFIv4kaMMQQHBxMWFsa6det47LHHsNZirWXZsmWcPn3a1SHmm2PHjhEWFlZoSX1mypUrR6lSpZTUXyY5OZlp06YRHh7Om2++6VwO9HI1a9bE19e3RC/DKiJSWDT9RsTNpC1r2adPH+Lj43nsscfYs2cPw4YNo169euzatYty5cq5Osw8S3vya48ePVwWgzGG8uXLK6lPtWTJEh588EHn03vvv//+bC+6PDw8aNSokUbqRUQKgUbqRdxMcHAwGzduJD4+HoCJEycyYsQIunbtyvHjx3n33XddHGH+WLlyJa1ataJy5coujaNChQpK6lNNnTqVhIQEXnrpJVavXs2sWbPw8Mj+v5HcLmt5/PhxUlJS8hqqiEiJo6RexM1cf/31zp9DQ0NZtGgRNWvWZPHixQwdOpSZM2dirXVhhPlj+/bttG/f3tVhUL58ec6dO+fqMFwuKSmJtWvXMmrUKF577TW6dcvqYd8Z5Sap379/P9WrV+fll1/OS6giIiWSknoRNzNgwADGjx/PzJkz+eCDD/joo4/YsmULfn5+3HHHHRw5coQDBw64Osw8SUxMZP/+/bRo0cLVoWikPtX27duJiYkhJCQkV8cFBwdz/PhxoqOjr1p32rRpAHzyySfF4sJURKQwaU69iJvx8PBg3LhxztcNGjRw/pw2sr19+3a3XoJx3759JCYmZvhWwlUqVKjAmTNnXB2Gy61cuRJfX1/atWuXq+PSlmG96667eOWVV+jatWuWdZcsWULt2rWJiIjg999/z/DZFhGR7GmkXqQYqVChAnXq1GHnzp2uDiVPFixYgLe3d5GYfuPn58eFCxdcHYbLrVixgm7duuHl5ZWr49KWtVy6dGm2o/wnT57kt99+Y8yYMRhjWLNmTV7CFREpcZTUixQzLVu2dOuk/ujRo0ycOJEBAwZQpkwZV4dD2bJlS3xSn5CQwNq1a+nZs2euj/X393f+nJKSkuX9Cb/88gsAffv2pWXLlkrqRURySUm9SDHj7kn9nDlz8PT05JNPPnF1KAD4+vqW+KR+/vz5xMXFXVNSD7B48WK++OILwHEzbGY2bdpE1apVqVOnDp07d2bTpk3XHK+ISEmkpF6kmGnZsiXHjx/n5MmTrg7lmmzYsIEuXboQEBDg6lAAjdRPmjSJwYMHU7FiRVq1anVNbfTr149bb70VY0yWSf0vv/xChw4dMMbQuHFjfv/9dy1tKSKSC0rqRYqZli1bArjtaP2OHTto3bq1q8NwKslJ/ZEjR3jllVcA2LhxI6VKlbrmtnx9falXr16mSX1ycjK//vorN954IwD169cnISGBqKioa+5PRKSkUVIvUsw0aNCAsmXLumVSHx0dzR9//FEkVr1Jk5bU53WJRWstW7duzdUxiYmJhbq0Y2RkJMnJyc7XH3/8Mb6+vmzfvt25ik1eNGnSJNOk/sCBA8TExNChQwcAgoKCAPj999/z3KeISEmhpF6kmPHw8KBFixZumdSnJXENGzZ0cST/r2zZslhruXjxYp7a+e6772jXrh3ffPNNjurPmzePypUr88Ybb+S4j507d17zDaY//fQTtWvXpnr16nTt2pWJEyfy4Ycf8uijj17ztJvLNWnShF27dl1xobJp0yY8PDycy2XWq1cPgMOHD+dLvyIiJYGSepFiyF1vlk1L6uvXr+/iSP5f2bJlAfI8BWf27NkAvPvuu1eta61l+PDhlCpVismTJ+d4nfzOnTvTvXv3a0qGp0yZQqVKlbj77rtJTk5m7NixxMXF8eSTT+a6razcfPPNREREsHDhwgz7N23aRLNmzShXrhzgOOdVq1ZVUi8ikgtK6kWKoVatWrF//37i4+NdHUqu/P777/j5+VG5cmVXh+KUH0l9WFgY8+fPZ+DAgaxbt45169ZlWz88PJxz587xr3/9i4SEBGbOnAlAVFQUb7/9dqbfGhw4cMAZ49Xav1xiYiI///wzo0ePZurUqWzYsIH9+/eze/fufH2IWY8ePejSpQsDBw7khx9+AODgwYPMnj2bLl26ZKgbFBSkpF5EJBeU1IsUQ506dSIpKYmNGze6OpRcSUsijTGuDsUpP5L67du3A/DJJ58QHBzMtGnTsq2f9i1LaGgoN910k3Nke8iQIYwcOdK5PGR6X3zxBQEBAdSsWZMdO3bkKr7w8HASEhIy3KB83XXXOR8clV+MMSxevJgWLVrw1FNPcfLkSd555x38/f2ZOHFihrr169d3fnOTmJiYYa6/iIhcSUm9SDHUvHlzAgMD+frrr10dSq5s3ryZG264wdVhZJCXpD4xMZGTJ0+yd+9eqlWrRuXKlbn77rtZtGgRSUlJWR4XGRmJt7c3lStXZsCAAaxbt46IiAjnCPxXX32Vob61li+++II77riDDh065DqpP3DgAEC+J/GZKVeuHAsWLODPP/9k8uTJTJ8+nRdffJGKFStmqFezZk0iIyMBKF++PAMGDCjw2ERE3JmSepFiyMPDg2effZb//Oc/xMbGujqcHFm9ejX79+8nJCTE1aFkkPZE1Ojo6Fwf27NnT6pWrcr777/vXNmlV69enDt37opVYBYvXsyXX34JwKlTpwgMDMQYQ//+/UlOTqZHjx5Ya3nqqadYv359houC1atXEx4ezpAhQ2jVqhXbt2/P1ao5Bw8exN/fn2rVquX6PV6LoKAg2rdvz5QpU7DW8uijj15Rp3r16hw/fpykpCTi4uL48ccfCyU2ERF3paRepJi6/fbbSUxMdJsnc3799dc0aNCAO+64w9WhZJD2EKzz58/n6riVK1c6R9bPnTvHe++9B+Cc4pJ+ecvo6Gj69+/P4MGDeeutt5xJPUDt2rXp06cP4eHhjBgxggcffJDY2FjWrl3rPH7q1Kk0adKEkJAQWrVqxdmzZ4mIiMhxrAcOHCA4OLhQpz117NgRcJzf8uXLX1FerVo1Lly4wJYtWwotJhERd6akXqSYatKkCRUqVHCbefVbtmyhQ4cOeHgUrX+W0kbqc5vUL168mLp167JixQq++OIL6tatCzimnzRu3Jht27Y56+7evRuAqlWrMmPGjAxJPcCMGTP48ccfef3112nXrh3169dn7NixJCYmsmbNGr799lueeeYZjDE0b94cgL1792Yal7WWr776KsPNtAcPHiyUqTfppV3cXD7tJk316tUBMly8ZDdlSUQktxITE5k/fz5Lliy56rebJ0+e5Ouvv+bcuXOFFF3uFa3/PUUk33h4eHD99dezZ88eV4dyVYmJiezYscO5TnlR4uXlhY+PT66n34SHhxMcHEyPHj247777MpS1bds2w0h9WFgYAOPHj2f//v2EhYVlSOpr1qxJaGgoHh4eGGOYOXMmGzdu5MMPP+Sjjz6iadOmDB8+HIA6derg6+ub6UOeAB577DHuuece+vbtS1RUFNZa50h9YUqbjtS2bdtMy2vUqAHAr7/+6tx37Nixgg9MREqMF198kTvvvJObb76Z66+/nieffJJt27axdOnSDEn+0qVLady4MXfddRf9+/cv1IcC5oaSepFirHnz5s5R4KJsz549XLx4scjdJJsmICAg1yP1hw4dokGDBpmWtWnThu3btzvvd/jtt9+oXbs2/fv3Bxwj9zVr1syy7W7dujF8+HBGjBjBnDlzGDRoEKVKlQIcF3PXXXcd+/btu+K477//nhkzZvDyyy/j5+fHgw8+yNGjRzl79my+PWAqpxo1asTJkyczXckHHBcnAOvXr3fu0xKXcjUXL15k2rRp/PHHH64ORYq4I0eO8OGHHzJhwgTeeecd9uzZw7Rp02jbti2hoaH861//4ujRozz99NOEhobSqFEjPv/8czZs2MDKlStdHX7mrLUldgP8AXv+/HkrUhzNmDHDGmPs6dOnXR1KtqZNm2Y9PDxsbGysq0PJVHBwsH3++edzXD8lJcWWLVvWvvXWW5mW//HHHxawgJ0wYYLt16+f7du3r7XW2iZNmljArl69Ots+Tp06ZStWrGgrVKhgo6KiMpQNGTLEduzYMcO+f//73xawN998s01JSbHz5s2zgP3HP/5hAfvnn3/m+P0VlurVq1vAtmvXzhpj7CeffOLqkKSIGzVqlAXsCy+84OpQxEU2b95sIyMjM+xbu3atTUpKsikpKfbTTz+1jz32mA0MDLQ1atSwMTEx1lpr9+3bZ9esWWMbNmxou3btagHr4eHh/Lf6yy+/tCkpKbZp06b2uuuus7169bKbNm0qkPdw/vz5tH79bW7y2txULm6bknop7o4dO+b8x6goGzJkiG3btq2rw8jSDTfcYB999NEc14+KirKA/fbbb7Os8/DDDzv/swDsxIkTncdOnz7dJicnX7WfEydOZPrv1+TJk2358uVtSkqKc1/btm1tSEiITUhIsNZam5yc7LyAqFOnToa6RUWnTp0sYAcPHmxr1aplX3nlFVeHJEVcvXr1LGD79+/v6lCkkKWkpNi///3vFrAVK1a0GzZssNZau2bNGgvYr776yi5YsMACtm7duvaxxx7LcjAjLi7OTpkyxb711ls2IiIiw7+zU6ZMcf673bhxY5uUlJTv7+Vak3pNvxEpxmrWrEmLFi1YsmSJq0PJkrWWVatW0bVrV1eHkqWAgIBc3RwVHh4OQMOGDbOs85///IejR48SFBQEwC233AI4Vn157LHHcnTDcJUqVZw38qbXrFkzzp07x8GDBwHHFJatW7cyfPhwvLy8AMc0naeffhqAgQMHFqkHfqVJm+ffvn17goKCnA+jEslMcnIyERERlC1b1vnshYMHD9K+fXs+/vhjF0cnBW3x4sVMmTKF119/naCgIJ566imstXz44YcALFu2jHnz5tG8eXOOHDnC9OnTnffuXM7Hx4dnn32WF154gVq1amX4d3bYsGE8/fTTvPjii4SFhfHNN9/w559/Fsp7vKrcXAEUtw2N1EsJMHr0aBsQEGBPnTrl6lAytXHjRgvYFStWuDqULD388MO2Xbt2Oa4/c+ZMC9gLFy5cte7p06ftnj178hLeFeLj423VqlXt8OHDbXJysm3atKm98cYbrxhRSklJscuXL7dnzpzJ1/7zy/r16y1gd+/ebR944IErphSJpJf2zeRtt91mPTw8bHx8vL355pstYD09PW1YWJirQ5QCkpKSYjt27Gg7d+5srbV21apVFrDPPfec9fLyspUqVbL169e3NWrUsP/4xz/yrc+QkBDnqH18fHy+tGttMR2pN8Z4GmPmG2P+NMZYY8wVT0YxxjxsjPnNGHPBGLPfGNPYFbGKFFUjRowgJiaG7777ztWhZOqtt96ifv36dOvWzdWhZKlJkyYcOHAgbTDgqhYtWkSrVq3w9fW9at1KlSrRrFmzvIaYQZkyZRgxYgQff/wxvr6+7Nu3jzfffNN5M20aYww33XRTlstKulqnTp24dOkSzZs3JygoKMsbZffs2cMnn3xCSkpKIUcoRcGKFStYvnw5R48eBaB3796kpKSwfv16lixZwpQpU6hRowYjR450caRSULZu3crGjRt56aWXAOjevTuDBw/m3Xff5frrr2fq1Kn8/vvvREZG0rlz53zp0xjD/PnzufPOOwF4//33nWVJSUmsXLmSLVu2sGrVqnzpL0dycwVQ2BvgCfwd6IDjiqXaZeW3AHuAZoABGgAVc9G+RuqlRKhXr162oxO7du2ycXFxhRiRw759+yxQ5G+A/P777y1gjx49etW6SUlJ1s/Pz06aNKkQIsvapUuX7LPPPms9PT1t3759i+Sc+dz49NNPLXDF53Tnzp22TJkyFoeyCPIAACAASURBVLAzZsxwUXTiKjExMc6R0mnTplnA/vbbbxawt99+uwVsVFSUnTt3rgXssmXLXB2yFIBXXnnFVqxY0SYmJjr3JSQk2E8++cRGRUXZ6Oho5+fk3Llz+d7/888/bwEbEBBgIyIi7LPPPpvhnqm0+f05VexvlM0iqf8V6J2LNrxTE/m0raaSeikJevfubW+77bZMy8LDwy1gu3fvXrhBWWunTp1qvby87MWLFwu979z4888/LWDnzZt31bp79+61gP35558LIbKry8kNt+5g9erVFrD//Oc/bevWre2mTZtsWFiY9ff3t61atbKdOnWy/8fefcdlWb0PHP/cgIJsRAVRwIkoKooLF45y5cg0v2qO3LtsavmlsqWW5jczV5Yrc5dbsHLgzoWKKLgHbgEZyn7O7w/i+YkD2Q/jer9ez+sl933uc64bBK7ncO7rdOjQwdBhiny2c+fOdMmTpaWl0ul0ysHBQQGqbt26SqnUpRItW7ZUHh4eKiEhwcBRi9xy/fp1NWvWLGVra6tGjhyZYduffvpJLVy4ME/i0Ol06vXXX1eAatCggQLU1KlT1datW5Wjo6Nq2LBhln4WF7ukHjAGkoD3gDDgMvApoGXQx+THv/nTXpLUi6Ju/PjxytLSUo0fP/6p8od9+/bVfy8EBwfna1yDBw9WXl5e+TpmdlWrVk2NGTPmhe2WLVuWZ7NBxdn169efSt74t3JPZGSkmjJligKUr69vof+rhMi8WbNmqZIlS6qhQ4cqQNWsWVMppVTDhg0VoL7//nt928DAQFWiRIkslacVBZNOp1OrVq1SZcqUUYDq2rWrwZ8NSk5OVp9//rk+nrSfQ2nVdzZs2JDpvopjUu/077GtgC3gAgQDgzPoQ2bqRbF06dIl/cyVo6OjatWqlRo/frw6e/asAtTcuXOVo6OjGjFiRL7G5enpqYYNG5avY2bXW2+9pZycnF442/LBBx+oSpUq5VNUxUdKSoo+oX///ff1SX1ISIhSKvUvTmm1pWWJReEVFxenRo0apcaMGaNiY2OVTqdTN27cUAkJCc8sHTh8+HDl6empX3rTuHFjpZRSK1euVE2bNn3q4cX//e9/Lyw3KwqmkydPqho1aqh3331XDRo0SL/E6sma9IYUExOjPv/886f2hqlbt67q37+/+vXXX1WjRo3U3r17M+ynUCb1wJ9A/HNevk+0fTKpt/v3mM9jx8YAa7MwvqypF8VGSkqKOn78+FN/qSpXrpyKi4tTH330kSpTpky+zXLGxcUpExMTNW/evHwZL6f27t2rALVv374M23Xs2FF16dIln6IqXkaNGqWmTZumdDqdioiIUJcvX053XqfT6WdoC8ryJ5F53377rTIxMdH/bLK1tVXOzs76j3v16vXUzydvb2/Vv39/FRoaqgD11ltvZTiGTqdTr732mrKxsVGXLl3Ky9sRuUin06nmzZvr/y+UKFFCLVu2zNBhZdqnn36a7veuiYmJ6t+//3M3GSyUSX2WAn32mvobTyT1YyWpFyJjQUFB6vz588rLy0vZ2tqqw4cPK6WU+uuvvxSQ6+UVn+fIkSMKUP/880++jJdTKSkpysnJ6YU7VVaoUEF9/PHH+RSVeNK+ffsUoNq2bWvoUEQWnD17VmmapoYNG6aOHj2qgoKClJOTk6pTp47q0aNHuoTop59+Ukqlfk9aWFioadOmKaVSy8NmpoxsZGSk/s1C9+7dVd++fdXJkyfz9P5Ezvj7+ytA/fnnn2rfvn2FrjxpQkKCeuONN5Szs7MKCgpSPj4+qlSpUsrIyEidPXv2qfa//PJL0Uzq/10yY/bvzbkCZo+d+xrYAlj9uxwnCBiUhb4lqRfFVlJSUroHxtJmBn799dd8GX/BggXK2NjYIFV3sqtXr17Kx8fnuecjIiIUoFasWJGPUYknfffdd6pUqVKytr4Q6d+/v6pYsWK6h+aTk5P1X0OdTqe6dOmiAFWvXj2llFKzZ89WgNq1a1eWx1uzZo3+AWsrKyvl7u5eZB4qL8x0Ot0zn0fq2bOnqlWrVqH+ntbpdPr/YzqdTsXFxaly5cqpsWPHpmuXmJioKlSokK2kvkDXqf9XKBD377+vPPZvgM+BW6Q+KHsE+ANYmp/BCVFYmZiYULJkSf3H1tbWVKhQgbNnz+bL+MeOHaNWrVqUKlUqX8bLDfXr1+fEiRPPrYd++vRpAGrXrp2fYYknVKpUibi4OO7fv2/oUEQmBAcHs2LFCj766CNMTU31x42NjfU7HWuaxubNm/n+++85ceIEa9asYf369bRv357WrVtnecxevXoRGBjI/v372bZtGyEhIQQEBOTWLYlsWr58Oba2tsybN09/7OjRo/z++++8++67BXLn68zSNE2/U7imaZiZmTFq1CiWLFnCnTt39O2OHDmS7R1qC3xSr5SqpJTSHn89di5RKTVcKWWjlKqglPpMqdQpeCFE1tWsWZMzZ87ky1jHjx/Hy8srX8bKLV5eXkRHR6fbBCk5OZnp06ezdOlS/v77b2xsbHB3dzdglMLV1RWAq1evGjgS8SLx8fG88cYbVK9enaFDh76w/ZgxY3jppZd466232LlzJ23bts1xDM2bN6d8+fJs3bo1x32JnFm1ahUAH3zwAZcvXyYlJYVx48ZRt25dBg0aZNjg8sD48eMxNTXl7bff5u7duwCcOHHiqY0CM6vAJ/VCiPzTtGlTdu/eTWJiYp6Ok5SUxKlTpwpdUl+/fn0g9Q1JmkmTJjFhwgQGDRrE77//TufOnSlRooShQhRIUl+Y/Pe//yU0NJTVq1djZmb2wvYlSpTg559/xs7ODicnJ/1unjmhaRodO3bEz88vx32J7IuJieHvv//miy++wM7OjokTJzJkyBCOHj3KnDlzMDExMXSIua506dLMmDGDNWvWUKtWLe7cucPRo0ezPTEkSb0QQu/111/nwYMH7Ny5M0/HOXPmDImJiTRo0CBPx8lt5cqVw8nJicDAQP2xP/74g4YNGwKpywi6d+9uqPDEv+zt7TE3N5ekvoC7fPkyP/74I76+vnh6emb6ukqVKnHmzBnCwsKoWrVqrsTSqVMnzpw5w7Vr13KlP5F169atIzExkX79+vH111+zdu1ali1bxvLly2nRooWhw8szgwcP5urVqxgZGeHp6cnixYt5+eWXs9WXJPVCCL06depQrVo1pkyZQkJCQp6Nc+zYMTRNy9Iv8oLCy8tLn9TfunWLixcvMnHiRP35Tp06GSo08S9N03B1dZWkvoB77733cHR0ZPz48Vm+1sjIKFfXV7dr1w5jY+NMzdbfunWLuLi4F7YTmRcXF8fkyZPp0aMHVapUYeDAgaxZs4aAgAD69Olj6PDynIuLC//88w9OTk6ULVuWIUOGZKsfSeqFEHqapjFz5kwOHDjAtGnT8myc48ePU6NGDSwtLfNsjLxSv359jh8/jlJK/2Bs/fr12bFjB3v37i2U91QUSVJfsAUHB7NhwwYmT56MlZWVocPB1taWZs2asWXLlgzb/frrr1SoUAEHBwfeeecdgoOD8ynComnt2rV07NgRBwcH7ty5w5QpU4DU30W9evXCx8fHwBHmn8qVK3P48GGuXLlCpUqVstWHJPVCiHS6du3KpEmT+OKLL9i1a1eejFEYH5JN07p1a+7evcs///xDcHAwZmZmVKpUibZt2xbpPxEXNpLUF2xffvklFStWpF+/foYORa9Hjx78+eefrF+/nmPHjqHT6Th79iw9evTAz8+PXr16MXToUDp06ED//v2ZNWsWnp6ezJ8/n7CwMEOHX+icPn2a3r17c+nSJTp37szevXupUaOGocMyKBMTE8zNzbN9vVaci8VommYNREVFRWFtbW3ocIQoMFJSUmjZsiUmJibs2bMn1/q9f/8+ly9fplWrVnz55Ze8//77udZ3fklJScHZ2Zm+ffty9+5dQkJCOHLkiKHDEk+YOnUq06dPJyIiwtChiCf8888/eHt788svv2R7mUFeCAsLw9nZWf+xkZHRU+Vrx48fzzfffIOpqSlXr17l9ddf5+jRo1hZWbF3795CuaTQUAYMGEBAQAAXL16U4gJPiI6OxsbGBsBGKRWd2euK3qPEQogcMzY2ZvTo0QwcOJC7d+9Srly5XOm3U6dOHD16FIAmTZrkSp/5zdjYmFdeeYUff/yRxMREJkyYYOiQxDO4uroSGRlJTExMgVjeIf7fV199hYeHB2+++aahQ0mnYsWK+Pj4YG1tTc+ePTlw4ABOTk6MHj2aXbt24eLiQrNmzfTtXV1dOXToEBcvXqRXr14MGzaMw4cPF+pa6nktODiYv//+m169erF69WqmTp0qCX0ukpl6makX4pkuXbpE1apV8fPzo2PHjjnuLzY2Vp9c1ahRg7NnzxbaX34nT56kZ8+e2NnZsWjRIurUqWPokMQT9u/fT4sWLQgKCpLNwAqQ8+fPU6NGDX755RcGDx5s6HCekpYTZfVn019//UX79u3Zs2cPLVu2zIvQCr24uDjKlStHbGwsAJaWloSFhaXNSIvHZHemXtbUCyGeqXLlytja2qaryZ4T+/btAyAoKIgjR44U2oQewNPTkwsXLnDkyBFJ6AsoqVVfMM2ePZsyZcrQt29fQ4fyTJqmZetn00svvYSDgwObNm3Kg6iKhgULFhAXF8eoUaPw8fFhx44dktDnMll+I4R4Jk3TqFu3LqdOncqwXUREBJaWlpQsWTLDdrt27cLR0REPD49CndCLwqF8+fKYmJhIUl+APHjwgEWLFvHee+9laqOpwsTIyIgOHTqwY8cOQ4dSIKWkpPDdd9/Rv39/5s2bZ+hwiiyZqRdCPFedOnUICgp67nmlFPb29owYMeKFfe3atYs2bdpIQi/yhbGxMc7OzpLUFyCLFi0iMTGR0aNHGzqUPNGsWTNOnTrFo0ePDB1KgZKYmIivry9hYWGMGTPG0OEUaZLUCyGeq3bt2oSGhj53I6rQ0FAgdT1pRhITEwkMDJSSjyJfSVnLgiM5OZkffviB3r17U758eUOHkye8vb1JSUnh2LFjhg6lQHnnnXeYNm0aEyZMoHHjxoYOp0iTpF4I8Vx16tQhJSWFkJCQZ54/dOgQkLobXkYuXbpEcnIyNWvWzPUYhXieSpUqcfnyZUOHIYB169Zx9epV3nnnHUOHkmc8PDywsLDQ/1ws6FJSUti1a1eGu+MuWbKE7777jr///jtbu4z7+/szb948FixYwDfffJOTcEUmSFIvhHiutKohaWUon3ThwgUgda1sRs6dOwdQ7DcWEfnLzc2N0NBQinOVt4IgNjaWjz76iM6dO9OgQQNDh5NnTExMaNy4cZ5t2pfbvvvuO9q2bYunpyeBgYHodDrmzJnDtGnTSEpK4vTp0wwePJgPPviAdu3aUb58ed58803OnDmT6TF+/PFHmjRpwvDhw/PwTkQaSeqFEM9lY2ODt7c3w4YN44cffnjq/KVLlwC4fv16hv2cP38ec3PzIvtnd1Ew1axZk6ioKG7fvm3oUIqtxMREXn75Ze7cucPMmTMNHU6e+89//sP27du5c+eOoUN5oZ9//hlvb2+srKzw9vamVq1ajBs3jo8//hh3d3caNWpEjRo1uH37NoGBgYwcORI/Pz+8vb35+uuvX9i/Uop//vmH9u3by7NU+USSeiFEhrZt20aPHj3w9fUlOTk53bmLFy9SsmRJHj58yMOHD5/bx7Vr13B1dZUf7CJf1apVC0jdjl4YxuTJkzl+/Dg7d+7Ezc3N0OHkuR49eqDT6bJVBWfz5s04ODgQGBiYB5Gld+3aNc6fP88HH3zAgQMHGDBgAKGhoUyYMIGAgAAaN27Ml19+SUBAAA4ODtSrV4+pU6dy5swZevfuzSeffPLCpW2XLl3i/v37NGrUKM/vR6SSpF4IkSE7OzveeecdYmJi0lXCUUpx7tw5/cOvd+/efera69ev8+mnn3L16tV0268LkR+qVauGnZ0dBw4cMHQouerEiRP6JW0FWXx8PHPnzuW9996jadOmhg4nX5QrV47atWuzdevWLF87d+5c7t69y+rVq/MgsvR27NiBpmm0adMGU1NTfv75Z65evcrXX3+Nj48PK1eu5IMPPsDBwSHddWXKlOH777+nbNmy+Pr6ZjiGn58fJUqUoFWrVnl5K+IxktQLIV6oUaNGmJiYpHsA7O7duzx48AAfHx+AZ/65uVOnTnz55Zds3LhRknqR74yMjGjWrFmRSuoPHTpE/fr1qVu3LpGRkYYOJ0ObN28mKiqKIUOGGDqUfDVo0CBWrVrFxx9/nOnnOZRS+qo5O3fuzMvwSElJYcmSJXh5eVG6dGn9cRcXF0xMXrx9kYWFBVOnTmXFihUcPnz4mW1iY2OZNWsWL730EtbW1rkWu8iYJPVCiBcyMzOjZs2anDx5Un8srSJOWlL/rJn6a9eu6f9drVq1PI5SiKfVr18/w70WChOlFBMnTsTY2JiEhIRc2+05t+h0OhYvXsxPP/1Er1696Nu3L02aNCkWy24eN2bMGFq3bs20adPS/czMyN27d7l37x6tWrXi1KlTJCUl5WpMycnJvPzyy7i6ujJkyBD27NnDlClTst3foEGDqFKlCqNGjXqqUIJSis6dO3PhwgXef//9nIYuskCSeiFEpnh6enLixAn9xyEhIRgbG9OkSRM0TXsqqX/w4AExMTGYmpoyadIk3n333fwOWQg8PDy4desWERERhg4ly86dO4eHhwcrVqwAYMqUKezZs4c//vgDU1PTAvWswOHDh3Fzc2PIkCGMHDmSdevWkZKS8sIlGkVRqVKl8PPzw9LSEn9//0xdc+XKFQBef/11EhIScv1ru27dOnbs2EGZMmVYtmwZgwcPpn379tnuz8jIiPnz53Pu3DkGDBiQ7k3IwYMH9f9PX3755dwIX2SSJPVCiEypUaMGFy9e1H8cEhJC1apVMTc3p1y5ck9VwEmbyT948CBff/01pqam+RqvEPD/D8umbZRWmCxdupQzZ84wZcoUdu/eja+vLy+99BJdu3bF3d2ds2fP5vqYZ86cyfKGXTqdjjfffBMbGxv8/Pzw8fFh9+7dREZG0qVLl1yPsTAoWbIk9erV49SpU5lqn/Y579WrF3Z2dvz++++5Gs/SpUtp2bIlx44dIzExkUWLFuW4z3bt2rFmzRr8/f1p3rw59+7dA2DZsmU4Ozvz6quv5ngMkTWS1AshMqVSpUrcv39fX+UmJCQEd3d3ILUe+Pnz59O1P3DggH7ZjhCGkvYsx40bNwwcSdYdPHiQMmXKEBISQps2bXB3d+fPP/9E0zScnZ3193T16lUWLVpEXFwcly5dYt68efz999/odLosjXfjxg08PDxo2LBhhtcmJiYSHR0NQEJCAh07diQkJIQff/yRjh07EhAQQKtWrbC1tc3+zRcBtWrVyvQbr2vXrmFlZUW5cuXo2bMnK1euzLX9FeLi4ti5cyc9e/YEoESJErnSL8Arr7zCypUrCQ0NpXfv3sTHx7N69Wr69++PkZGkmPlNPuNCiExxdXUF/n9G6cmk/slqHLt376ZZs2aYmZnlb6BCPMbW1pZSpUoRFhZm6FCyJDk5mcOHD/Phhx/ywQcfADBx4kR9ouTo6Kivvz9u3DiGDh2KpaUlVatWZcyYMbRr145Ro0ZlacyVK1cCcP/+fQICAp7brl+/ftjZ2TF69Gh69uzJnj17WLhwYbGpcJNZtWrVIiQkJFPr469evaov+9u3b18uXbrEb7/9xksvvUTVqlX1e4JkRlJSUrryw4cPHyYxMTHPqtC8/vrrbN68mb1799KmTRsePHggs/QGIkm9ECJTKlWqBKSu/Xz06BFXr159Kql/fGbp2LFjeHt7GyJUIfQ0TaNChQqFbqY+ODiYhw8f0rRpU6ZOncqtW7d488039efLly/PrVu3iImJYdu2bXz00Ue88cYbeHl5sWHDBsaOHcvChQvZtGkT8fHxzxzj9OnTtG3blpiYGJRSzJ07lzfeeIOqVauydOlSwsPDn3nNunXraNiwIatXr+bIkSOsW7eOYcOG5dnnorBq1qwZ8fHxHDly5IVt05J6SC0+ULZsWQYMGMClS5e4detWlp5JGjNmDBYWFqxevZqdO3fy7bff4uTkRJ06dbJ9Ly/i4+PDzJkzOXToECVKlCjSOwcXaEqpYvsCrAEVFRWlhBAZS05OViYmJmru3LkqMDBQAerAgQNKKaXWr1+vAHXr1i2llFJ37txRgFq7dq0hQxZCKaVUq1atVN++fQ0dRpZ89913ytTUVD18+PCZ5+fOnatMTEzUtm3bFKCCg4PTnU9JSVH16tVTgAJUy5Yt9d+faTp37qwAtXTpUnXu3DkFqG3btqmpU6fqr9u9e7e+fUxMjKpWrZqyt7dXCQkJKi4uTsXHx+f+zRcRSUlJyt7eXvXq1euZ53U6nT7/qFu3rhozZoz+3ODBgxWgtmzZon799VcFqEOHDimllDpz5ow6f/68Ukqp48ePq379+qmAgACllFKJiYn6r93jr4ULF+blrervZ86cOerYsWN5PlZRFxUVlfa1s1ZZyWuz0riovSSpFyJrKleurCZMmKB+/PFHVaJECRUTE6OUUio4OFgB+l8sv/32mwLU1atXDRmuEEoppXr27Kk6dOhg6DAyTafTqYYNG6quXbs+t82mTZsUoMzMzFSlSpVUSkrKU20ePnyo9u3bp3r37q0A1bp1axUdHa2UUio0NFQZGxsrQL355ptq2bJlClARERHqwYMH+mTQ2dlZzZ8/X/3222+qdu3aytTUVO3fvz/P7r2oWbJkiQLUsWPHlE6nS3du8uTJClD3799XNjY2atq0afpzERERavr06SopKUklJycrDw8PBagyZcooQBkZGamPPvpI2draKkA1bdpU3b59Ww0aNEgZGRmpwMBAdfnyZXXmzBm1Y8eO/L5tkUPZTepfvMuAEEL8y9XVlatXr3L+/Hm8vb2xtLQEoGrVqmiaxq5du/jmm2+4cuUKTZs2xcXFxcARC5G6rt6Qa+oTExNJSEjAysoq3fEtW7awfv16Fi5cCMDixYu5ePEif/31F0ePHmXz5s3P7bNRo0ZA6q6tf/755zMfSjQ3N6d58+Y0adKEFi1a8NZbb1G5cmUuX77MihUrsLS0pEuXLgQHB1OhQgWcnZ2xs7MDICoqitDQULp166Zfm1+uXDn8/f1p1qxZrnxeioM33niDQYMG0aBBAzw8PBgxYgTBwcG89dZbTJ48GUitTBMVFZVugz47Ozv9sxSQWlFm1qxZVKxYkUqVKhEYGMjMmTOpVKkS33//PYMGDcLR0RGAmTNnUq9ePf21UqygGMnKO4D8fgE1gC3AfeAesBywe0a7SkAcMD+L/ctMvRBZMHjwYOXp6alsbW3V5MmT052rXLlyuj/3/ve//zVQlEKk995776kaNWoYZOzt27crFxcXZWNjo1avXq0/npSUpP9e2bJli365Rdpr4sSJz5x9fxz/zr5n1nfffacANWvWLFWxYkU1aNAgNXPmTFWqVCk1YMAA5e3t/dQ1UVFRasOGDerYsWMvjEc829y5c1X16tWVk5NTuq+xvb29cnNzU82aNVNAlmfUdTqdfvZ/xowZysPDQ5a+FBFFcvkN0BgYCNgAFsAa4JdntFsP7JekXoi8NXfuXP0vpLT19Gk6dOiQ7hfWhg0bDBSlEOl98cUXytHRMd/HTUhIUI6OjsrT01O1bNlSWVhYqLt37yqllDp48OBT656XLVumdDqdunz5cqb6j4iIyPKa9pYtWypAGRsbq3Pnzql9+/YpQNnY2KiePXtm9RZFFty+fVv5+fmpnTt3Kg8PD7VhwwY1evRo/df/9OnThg5RFBDZTeoLdPUbpdRhpdQypVSUUuohsJDURF9P07QOgAb8ZYgYhShO2rRpA8CAAQOeqmxTvXp1IHUJwYoVK3jllVfyPT4hnsXGxuaprexzy7p1657bt5+fH7dv3+a3335j1apVPHz4kL179wKwc+dOrKysmDJlCpC66dCAAQPQNE1faepF7Ozssrypm6+vL7a2tvj6+lK9enWaNGmCjY0NUVFRODk5ZakvkTUODg507NiRNm3acPr0aV599VW8vLzSnRciJwrbmvpmQHDaB5qmlQSmAz2A/i+6WNM0U+Dxn4BWz2srhHiau7s7V69exdnZGU3T0p374IMP8Pb2pm/fvrLpiChQbG1tiY+PJyEhIVd3Nj516hS9evWid+/erFq16qnz/v7+1KhRAw8PD5RS2Nvbc/r0aXr06MHevXtp3rw5EyZMoHLlyrRv3z7X4spI+/btiYiI0H//mpiY4OXlxa5du9Kt6Rb54/HSj6VLlzZgJKIoKDS/eTVNqwe8DXz52OH3gG1KqQuZ7OZjIOqxV+HajUSIAsDFxeWphB5SH6Lt16+fJPSiwLGxsQFSH/7MTfPnzwdSH3hN22n5cfv376dly5ZAar382rVrExQUREpKCvv378fHxwdjY2P69OmTrwndk9+/Y8aMwc7OjkGDBuVbDCKVh4cHkPrGU352ipwy6P8gTdP+1DQt/jkv38faVQY2A0OVUsH/HqsADAG+zsKQU0ldn5/2qphrNyOEEKJAsrW1BXIvqY+Pj2f8+PHMmzePsWPHkpCQwOzZs9O1SUpK4syZMzRs2FB/rFGjRhw6dIiTJ08SExOjT/gN7fXXXyc8PJyyZcsaOpRip2TJkoSEhHDlyhVDhyKKAIMuv1FKvfDvjZqmOZK6Xv5LpdSGx041ApyB8//OOlgCRpqmVVJKdXzOeAlAwmN95yB6IYQQhUHaTH1urKtfsGCBvsTjzJkzGT9+PMbGxkyZMoWhQ4fqE+MrV66QkpKif9YEoGXLlsyYMYNPPvkEe3t7fVnKgkB+HxpOjRo1DB2CKCIK9N96NE2zAbYDy5RSPz1x2g+oDNT79zUfWAv0y9cg8TyYjwAAIABJREFUhRBCFGhpM/U5Terj4uKYOHEi3bp14+DBg7z77rsYGRnh6+tLTEwM/v7++rYXLqSuCq1WrZr+WOvWrQHYtm0b48ePz9X1/UIIUaCTeqA7UBeYoGlabNoLUmfdlVK3015ALBCnlAo3ZMBCCCEKltxaU+/n50dUVBTTp09PV/2pbNmyuLu7c/DgQf2xCxcuYGpqSsWK/7/K09ramnHjxtG0aVPGjh2bo1iEEOJJBbr6jVJqKbA0k20n5200QgghCiNra2sg5zP1/v7+uLu74+bm9tS5Ro0acfz4cf3H58+fp2rVqk89/Pjk2nshhMgtBX2mXgghhMgRY2NjrKyscjxTv2/fPtq2bfvMc+7u7hw+fJh33nmHvXv3cuHChXRLb4QQIq9JUi+EEKLIs7W1zfZM/cWLF3n06BGhoaHpNgt6nLu7O0opZs2axdSpUzl37hxVq1bNSchCCJElBXr5jRBCCJEbspvUX758mWrVqtGxY0d0Oh316tV7ZrvHNxE6dOgQkZGR6Y4JIURek5l6IYQQRZ6trS2RkZFZvi7t4Vd/f3+MjY31mwU9ydXVlQULFvDSSy/px2nRokX2AxZCiCySpF4IIUSRV65cOe7evZvl6x6vaFO9enXMzMye23bEiBEsWLAAAGdnZ1xdXbMeqBBCZJMk9UIIIYo8BwcH7ty5k6VrkpOTWbt2LXXr1gXA09PzhddUrVqVgwcPpnszIIQQ+UHW1AshhCjyspPU//XXX9y5c4cNGzYQEBDA6NGjM3Xd4zXshRAiv0hSL4QQoshzcHDg3r176HS6p2rHP8+yZcvw8PCgSZMmkqgLIQo8WX4jhBCiyHNwcECn03H//v1MtX/48CEbNmxgwIABaJqWx9EJIUTOSVIvhBCiyKtUqRKQWqISICAggJs3bz63/e7du4mPj6d79+75EZ4QQuSYJPVCCCGKvLSNoC5cuMDUqVNp3bo1rq6unDlz5pnt/fz8qFSpEm5ubvkZphBCZJsk9UIIIYo8KysrHBwc8PPzY9KkSbRo0QJnZ2cmTZr0VNsbN26wcuVKOnXqJEtvhBCFhiT1QgghioWGDRvy22+/YW1tzZ9//slnn33Gxo0bOXXqVLp206ZNIykpibfffttAkQohRNZJUi+EEKJYGDlyJAADBgygVKlSvPHGG5QvX565c+cCoNPp8PX1ZcGCBQwfPhx3d3dDhiuEEFmiKaUMHYPBaJpmDURFRUVhbW1t6HCEEELksQsXLuDk5IS5uTkAX3/9NZ9//jlBQUEsX76cr776in79+jFnzhxsbGwMHK0QojiKjo5O+/ljo5SKzux1ktRLUi+EEMVWXFwcHh4eJCYmcuPGDaZNm8bEiRMNHZYQohjLblIvy2+EEEIUW6VKlWLbtm3Ur1+fd999lwkTJhg6JCGEyBaZqZeZeiGEEEIIUUDITL0QQgghhBDFlCT1QgghhBBCFHKS1AshhBBCCFHISVIvhBBCCCFEISdJvRBCCCGEEIWcJPVCCCGEEEIUciaGDqAgCAsLk5KWQgghhBDC4KKjM13FMp3iXqe+CXDI0HEIIYQQQgjxhAZKqeOZbVzcZ+rDAK5fvy4z9UIIIYQQwuCio6NxdnYGuJCV64p7Ug+AtbW1JPVCCCGEEKLQkgdlhRBCCCGEKOQkqRdCCCGEEKKQK+5JfYKhAxBCCCGEECKnivua+sTMNkxKSmLt2rXs3LmT27dvo9Pp8jIukQUlSpSgRo0adO/enWbNmhk6HCGEEEKIfFfcS1paA1FRUVEZPiir0+mYMGECe/fupUWLFlStWhUTk+L+fqjgiI+P5/Dhw4SEhPDpp5/SrVs3Q4ckhBBCCJEt0dHR2NjYANgopTJdtF4y00wICgpi9+7dTJs2jZdfftnQ4RQZSini4+MxMzND07Qc9+Xr68ucOXPo0qULRkbFfWWZEEIIIYoTyXwy4dChQ9ja2tK2bVtDh1KkhIeHExwcTFhYWI770jSNnj17Eh4ezoULWSrrKoQQQghR6ElSnwkxMTGULl1aZn9zUVxcHFevXgXg3r17pKSk5LjPMmXKAKlfLyGEEEKI4kSy1EzK6fIQkV5ERASaplGzZk10Oh2RkZE57lO+RkIIIYQoriSpz4FKlSrh6upKYuL/F9EZNWoU1atXx9LSEktLS8zMzDA2NtZ/3KlTp6f68fX1Zdy4cemOhYWFpXsYd/fu3TRp0gQbGxvs7e1p27Yt165d058/efIk3bp1w9bWFjs7Ozw9PZk+fTpJSUkAXLlyhVdffRV7e3tsbW3x8vLC39//mffl6+tLyZIlsbS0xM7Ojnbt2nHu3Dn9+Z9//hkTExOsrKywsrKiRo0avPfee0RERDz3c9WiRQtKlSqFpaUl1tbWdOnShd27d2NhYYGlpSVRUVFP3WPLli05d+4cw4YN03/+SpQogampqf7jb7/99gVfJSGEEEKIoq9IJPWapnlpmnZA07RoTdMuaZo2OL/GjomJYcmSJemO9evXj9jYWGJjY1myZAktW7bUf+zn55flMSIjI+nRoweffPIJkZGRXL16lXHjxumXA50+fZoWLVrQoEEDQkNDiYyMZN26dVy5coV79+4B0L9/f+rWrcvNmze5e/cus2fPzrDiz4gRI4iNjeXmzZs4OjoyfPjwdOc7duxITEwM4eHhrFmzhtOnT9OsWTNiY2Of2+evv/7K6dOn2bJlC0OHDuXbb7/F19cXKysrbty4ke4eT548SdeuXblw4QKzZ8/Wf/7efPNNPvnkE/3HEyZMyPLnUwghhBCiqCkSST2wDNgK2AKvAz9omuaWHwO/++67TJkyRT8jnhdCQkL0s9tGRkZYWlrSo0cPKlasCMDkyZN55ZVX+Oyzz3BwcACgevXqzJkzBycnJwCOHj3K0KFDMTU1pWTJkjRv3jxTNd1LlSpFr169OHHixDPPlyxZEk9PT9avX090dDRLly59bl86nY6IiAiqV6/OuHHjmDt3LtOnTycxMZELFy6ku8fk5GQ6dOiAs7MzN2/ezOqnTAghhBCiWCkqSb0rsEIppVNKHQfOAjWebKRpmqmmadZpL8AqpwO3a9eOChUqPDVbn5vc3d158OABo0aNYvv27U89CLpr164X1mZv3Lgxw4YNY82aNdy6dSvTYz98+JA1a9ZQpUqVDNtZWFjQpk0b9u/f/9w2iYmJ6HS6tNqrdOnShaSkJM6cOUOlSpWIjIxk1KhR+Pv7c/PmTUqXLo2dnR2xsbEU5/0UhBBCCCFepKgk9T8CAzRNM9E0rTHgDPzzjHYfA1GPvXJeSxH47LPP8nS23s7Ojr179xIbG8vAgQMpU6YMAwcO1C91iYyMxNHRUd/+7bffxtbWFnNzc9avXw/AH3/8Qd26dfH19aVChQq0bNmS8+fPP3fMhQsXYmtri5WVFXv27GHx4sUvjLN8+fIZPvCakJCApmmYmZkBqbP8pUuX1lcX+uOPP/T32Lp1a/3SmqSkpHTPLQghhBBCiPSKSlLvDwwF4oEDwH+VUnef0W4qYPPYq2JuDN6+fXvKly+f4dKTjJiYmDz1hiApKYkSJUroP65Tpw7Lly/nzp077N+/nz179jBt2jQgNem/ffu2vu0PP/zAgwcP8PLy0peKLFOmDDNnzuTcuXNcu3YNc3NzBg9+/qMHw4cP58GDB1y7dg1ra+sM3wCkuXXrFnZ2ds89n5iYiJmZmf5ZgMTERCIiIihdujSlSpXC1dWV5cuXExgYyOLFizl48CBz5swBeO5afaWUzOILIYQQotgr9Em9pmn2wGbgHcAUqAd8oWlakyfbKqUSlFLRaS8g1wqa52S23tnZWV+zPc3ly5dxcXF5ZvuGDRvSvXt3Tp8+DUCbNm3YtGlTpserWLEio0eP1l//orazZ8/mnXfeIT4+/rntHj16xK5du2jevPlz2yQkJGBubq7/eOvWrZQoUYKGDRtibm7Oo0ePUEoRERFBs2bN6N69O2fPnsXMzOyZSX18fDwnTpzgypUr+mPR0dF4e3vTtm3bXKl9L4QQQghRGBT6pB6oAkQppdYrpVKUUqeB3YBPfgbRoUMHHBwc2LBhQ5avfeWVVzh06BCbN28mJSWF27dv88UXX9C7d28Azpw5w6xZs/Rr4UNDQ9myZQuNGzcGUh+U3bZtG59//jl376b+geLSpUvcuXNHP8bEiRMJCQlBp9MRHh7O0qVL9de/SJs2bXBycnrmcwNJSUmcOnWKnj17Ym1tzaBBg57bT2JiIubm5kRFRbFu3TrGjh3Lhx9+SOnSpQkLC2Pp0qUEBweTkJBAZGSk/h4tLS2fmdTfunWLlJQUwsPDSUpKIiEhgejoaJKTk9m1axf//e9/6dSpE6NGjZLZfCGEEEIUaUUhqT8HWGma1lVL5Q60BYLyO5DPPvssw1rtaVJSUrC0tOTgwYNA6lr0DRs28PXXX2Nvb0+TJk1o1KgRkyZNAtCva/fy8sLCwoL27dvz2muv8eGHHwJQu3Zt9u3bx9GjR3Fzc8POzo7XXnuNUaNG0blzZyB1Brtz585YW1tTq1YtSpQowaJFi4DUNwCWlpYZVpl57733mDFjhn7229/fH0tLS2xtbXn99depWbMmBw4cwMLCAoClS5fi6empT6ZTUlL49NNPqVq1Ki4uLnz//fdMnTqVr776CgBHR0cCAwNp3bo1Pj4+vPbaa/p7tLS0JC4ujuTkZH08Simio6MpW7YsmqYRFBREaGgoRkZGBAQEMHDgQL755hv8/f1ZsGAB+/bty/wXUgghhBCikNGKwgympmkdgG+AqkAkMF8pNSUT11kDUVFRURnWbJ8xYwZHjhxh9erVuRVyoRAVFcXt27epUqVKuvX9Wbn+8uXLVK1alYiICKKioqhTp85zd369efMm9+/fp2rVqvo3B5C6zOb06dNUr15dXznn8WPJyclER0dz69YtRo0axeLFi6lXrx5HjhyhTp06NGjQgNKlSxMQEJCt+xBCCCGEyC/R0dFp+Y7Nv8vFM8XkxU0KPqXUdmC7oeMoSpRSXLlyhaSkJG7evImrq2uWrtfpdISFhZGcnMz58+dRSlG+fPnnJvQATk5O+rr6jzM1NcXExOTx/+T65TgWFhaYmJhgb2+PiYkJJUuWBMDY2Bhvb28AFi9eTIsWLZg3bx5vv/12lu5DCCGEEKIwKArLb/KcsbFxuqUfxUF8fDxJSUmYm5sTERGBTqfL0vXh4eHExcVRrVo1LCwssLOzS1d2Mys0TcPe3p7w8HB9HDExMZibm2Ni8v/vS9O+RsbGxumub9q0Ka+88gqbN2/O1vhCCCGEEAWdJPWZ4OLiQlhYGNHRmf4LSKEXHR2Npmm4uLiQkpLy3JKSz5I2u29ra4utrS01atSgSpUq+lKW2VG2bFmSk5P1dfBjY2OxtLRM1yY4OBhAv9Pu41q2bMnBgweL3ZszIYQQQhQPktRnQuvWrTEyMmLy5MmEheXKflUFXlRUFFZWVlhYWFCyZEkePHjwwmtiY2O5fv06QUGpzyhndclORszMzLC0tCQyMpLExEQSEhKwskrdEFin03H06FHmzp2Ll5cXZcqUeer6Fi1a8PDhQ06cOJFrMQkhhBBCFBRFYk19XrO3t2fGjBlMnDiR7t27Y2pq+tQSj6JEKcWdO3f0SX10dDQJCQmULVv2ue0fPnxITExq2X8LCwssLCxy/XOUNoa1tTVRUVE4ODhgZGREYmIiycnJVKlShSlTnv18dIMGDTAzM2Pfvn00bNgwV+MSQgghhDC0IlH9JrsyW/0mTVxcHIcOHeL27dtFuu55cHAwU6ZMYdq0aTg7O3PixAmmT5/ON99889TSFp1Ox5dffsm5c+do2bIl/fv3f2pZTG65d+8e77zzDiVLltS/0YLUHXnd3d2pXbt2hkt8WrVqRZkyZfj999/zJD4hhBBCiJwq1tVv8kupUqVo06aNocPIcz/88AOmpqZ88MEHGBsb06NHD+bOnUtgYCCXLl2ia9eu+vr38+bN49y5c6xcuZLevXtnWN0mN2zcuJFdu3YxcOBA3njjjSxd26JFC3766SeSkpKktKUQQgghihRZUy+ecvbsWdzc3PTLZ8zMzGjXrh2rVq1i2bJldOnShWbNmuHt7c2YMWMYOnQoffr0yfOEHmDu3LkMGzaMMWPGZPnavn37Eh4ezooVK/IgMiGEEEIIw5GkXjwlKCgId3f3dMemTp3KjBkzuHHjBsuWLePRo0c4ODiwceNGFixYkG+xubu7s3DhQlxcXLJ8be3atfH29sbPzy8PIhNCCCGEMBxZU5+FNfXFwf3793FwcGDevHmMGDHC0OHkukmTJrFo0SJu3bqVL39ZEEIIIYTIiuyuqZeZepHOli1bUErRrVs3Q4eSJ9q0acOdO3cICQkxdChCCCGEELlGknqRzvr162natGm2d38t6Jo1a0aJEiX466+/DB2KEEIIIUSukaRe6D18+JA///yT1157zdCh5BkLCwvatGnD5s2bDR2KEEIIIUSukaRe6G3fvp34+Hi6d+9u6FDy1Kuvvsru3bu5fv26oUMRQgghhMgVktQLvfXr11O7dm2qVatm6FDyVNeuXdHpdLi4uLBnzx5DhyOEEEIIkWOS1AsAkpKS2LJlS5FeepPG2dmZY8eOUa5cOfz9/YHU3YKFEEIIIQorSeqLKZ1OR+fOnbGwsMDHx4dOnToRFRVFnz59DB1avqhXrx5t2rRh6tSp1KhRAzs7O6mII4QQQohCS5L6Ymrjxo1s27aNYcOGER4ezunTp/nmm2+oVauWoUPLN5999hm1a9emadOmlC5dmunTpxs6JCGEEEKIbJHNp4rh5lOff/45M2bMoFGjRuzcuROlVLHfiOm7777j448/5tKlS1SsWNHQ4QghhBCimJLNp0Sm7N27l8mTJ+Pq6sr8+fMBin1CDzBixAgsLCyYOXOmoUMRQgghhMgySeqLkZSUFCZPnoy7uztBQUG4ubkZOqQCw8rKirFjx/LTTz8RFRVl6HCEEEIIIbJEkvpiZMmSJezcuZP//e9/Mjv/DGPGjCE+Pp7ly5cbOhQhhBBCiCyRNfXFZE19YmIibm5uNGrUiLVr1xo6nAKrZ8+enD9/nlOnThk6FCGEEEIUQ7KmXmRo1qxZhIWF8fnnnxs6lAKtT58+BAUFcfPmTUOHIoQQQgiRaZLUFwMPHjzgiy++YMyYMcWqZGV2NG/eHIADBw4YOBIhhBBCiMyTpL4Y8PPzIzY2lg8//NDQoRR4Tk5OuLm56XeaFUIIIYQoDCSpLwY2bdqEl5cXzs7Ohg6lUHj11VfZvHkzOp0uz8fKjzGEEEIIUfRJUl/EJSYm4ufnx6uvvmroUAqNbt26cffuXf755588G2P58uWUKVMGY2NjNmzYkGfjCCGEEKJ4kKS+iNu7dy9RUVF069bN0KEUGk2bNsXa2pqAgIA86T8wMJDRo0fTqFEjAJYuXZon4wghhBCi+CgSSb2maWU1TduqadojTdNCNU17ydAxFRTbtm2jQoUKeHp6GjqUQsPY2JgGDRpw+PDhPOl/3LhxVKlShXXr1jF37lw2btzIyZMn82QsIYQQQhQPRSKpB+YAN4EywERgraZpdoYNqWDYs2cPbdq0kc2msqhp06bs2bOHpKSkXO03MDCQAwcO8MUXX2BhYcHw4cNxdnZm9uzZuTqOEEIIIYqXQp/Ua5pmCbwKfKqUeqSU2gCcBro+o62ppmnWaS/AKp/DzVcREREEBgbi4+Nj6FAKnZ49exIeHs6OHTtytd+FCxfi5ORE586dATAxMWH48OGsWLGCyMjIXB1LCCGEEMVHoU/qgepAlFLq1mPHTgIez2j7MRD12Css78PLP3FxcSxatIgLFy4A6Cu4dOnSxcCRFT7169fHzc2NlStX5lqfDx8+ZPny5QwdOhQTExP98WHDhlGiRAnefffdXBtLCCGEEMVLUUjqLYEnt9CN/vf4k6YCNo+9KuZtaPln5syZWFhYMHToUKpXr87777/P2rVr8fb2pnz58oYOr9DRNI0ePXrg7++PUipX+ly9ejWxsbEMHTo03XFHR0fGjBmTq2MJIYQQongpCkl9LGD9xDHrf4+no5RKUEpFp72AmPwIMK9dv36dDz/8kM6dO+Pn58e0adOYOXMmW7dupXfv3oYOr9Bq1aoVd+/e5fz587nS38KFC+nQoQOurq5PnWvevDl37tzhypUruTKWEEIIIYoXkxc3KfDOAzaapjkqpW7/e8wT+NmAMeWr/fv3o9PpWLRoEWXLlqVjx460a9eOgwcPMmrUKEOHV2h5e3sDcPToUdzc3HLU15kzZzh06BC///57hmMdPHiQypUr52gsIYQQQhQ/hX6mXikVC2wCPtc0rZSmad2A2sDm7PZ5+/Ztpk+f/twErKA5fPgwlStXpmzZsvpjXl5ejB07FmNjYwNGVrjZ2tri4uKSK+Umt23bRqlSpXjllVeeeb5MmTJUr16dQ4cO5XgsIYQQQhQ/RWGmHmAMsBQIJ/Xh1/8opbJVSiQuLo4OHToQFBSEmZkZPj4+6ZLlgigkJIQ6deoYOowiqV69erlSr37Lli34+PhgZmb23Dbe3t4cPHgwx2MJIYQQovgp9DP1AEqpe0qpV5RS5kopN6XU39npJyIiAm9vb86dO8fOnTsxMjLi+++/z+1wc9358+epVq2aocMokrp160ZAQAA3btzIdh/nzp0jICCAgQMHZtiuadOmnDhxgri4uGyPJYQQQojiqUgk9blBKUXbtm25fv06u3fvpnXr1gwdOpSFCxfm+gZEuSk5OZkrV65QvXp1Q4dSJPXs2RMjIyO2bNmS7T7mzZtH6dKl6dGjR4btvL29SU5O5tixY9keSwghhBDFkyT1/7p06RInT55kwYIFNGnSBEitH37v3j22bt1q4Oieb//+/SQnJ1O/fn1Dh1Ik2dra0qxZMzZu3Jit68PCwpg7dy5vvfVWhktvAOrUqYO5ubmsqxdCCCFElklS/6/du3djZGREu3bt9Mfq1KlDgwYNWLRokQEjy9iqVatwdXWlcePGhg6lyOrXrx/bt2/Xb+qVFbNnz6ZUqVK8//77L2xrYmJCo0aNZF29EEIIIbJMkvp/denShY0bN2Jra5vu+JAhQ9i2bRu3b99+zpWGk5KSwrp16+jTpw+aphk6nCKrf//+uLi48Mknn2TpugMHDjBr1iyGDx+OlZVVpq5p2rQpBw8elE2ohBBCCJElktT/y8HBgS5dujx1vG/fvpiYmDBv3jwDRJWx0NBQ7t+/T4cOHQwdSpFmYWHByJEj2bRpEw8fPsz0dZMmTcLFxYWPPvoo09c0b96cW7du5dqGV0IIIYQoHiSpfwE7OzveeustvvzyS/bt26c/HhAQwNy5cw06g5/2QKWXl5fBYigu/vOf//Do0SMsLS0JDw9/Yfu//vqLgIAAvvjiC+zt7TM9Ttu2bTE3N2fFihU5CVcIIYQQxYwk9Zkwbdo0vL29GTJkCFFRUUybNo3WrVszduxY3NzcCAoKStc+JSWF7t274+Pjg06ny7O4/P398fDwwMbGJs/GEKmqVKlCt27dAGjTpg2JiYkZtl+0aBH16tWjd+/eWRrH3NyckSNH8s0333DgwIFsxyuEEEKI4kWS+kwwNjZmyZIl3L17l8qVK/Pxxx8zdOhQ7t+/j6OjIz179uTmzZv69uvWrWPjxo3s3buXTZs25UlM8fHxrF+/nn79+uVJ/+JpGzdu5MiRIwQFBbFq1arntnv48CH+/v507do1W886TJkyBS8vLwYMGEBKSkpOQhZCCCFEMSFJfSa5ubmxZcsWqlSpgrOzM99++y329vZs3ryZR48eMWLECH3bxYsX06JFCxo3bszPP/+co3FPnTrF9OnT+euvv0hOTtYfHz9+PHFxcc98DkDknYYNG9K2bVsWLlz43L/C/Prrr8TGxjJkyJBsjWFmZsb06dO5dOmSzNYLIYQQIlO04lxlQ9M0ayAqKioKa2vrTF+XkpKCsbGx/uPVq1fTp08fevfuzf3799mxYwc///wzkZGRfPrpp0RGRmJqapqtGLt06aKvk9+zZ0/Wrl1LeHg4ZcuWxc7OjvDwcKl8k8+2bNlCt27dGD16NHPmzHnqfJcuXXj06BE7d+7M9hg6nQ5HR0dGjhzJl19+mZNwhRBCCFGIREdHpy2ttlFKRWf2Opmpz4bHE3pIfYjyp59+4sSJE9y/f58lS5YwZMgQ2rRpQ1xcHEeOHMnWOPHx8ezatYtJkybx/fff8/vvv+Pv78/mzZvRNI2zZ89KQm8AXbp04auvvmLhwoVPVcPR6XTs2bOHl19+OUdjGBkZ0aRJEw4fPpyjfoQQQghRPEhSnws0TWP48OGEhIRw4sQJ3nzzTTRNo27dupiamhIYGKhvGxMTw9GjR0lISHhhv/v27ePRo0f06dOHt99+Gy8vLxYtWsT69etp1qwZDg4OeXlbIgPdu3cnKSmJ/fv3pzt+4cIFYmJicmUzsEaNGukrHAkhhBBCZESS+jxUokQJateuzYkTJwDYtWsXtWrVolGjRri5uREREZHh9f7+/jg5OVG7dm00TaN169bs3r2bP//8k9deey0/bkE8R82aNXFwcGDXrl0ALF26lMGDBzNq1CgA6tevn+MxqlatSnh4OLGxsTnuSwghhBBFmyT1eaxJkyb8/fff6HQ6Bg4ciIuLC/Pnz+fevXv4+vpmeK2/vz8dO3bUL7Fp0KAB9+/fJyEhQZJ6A0t7k7Vx40bmz5/PoEGD2LVrF2FhYUyZMiVLtemfx8XFBYDr16/nuC8hhBBCFG2S1OexPn36cO3aNV599VXCwsKYNGkSI0eOZMqUKcyfP5+TJ08+87rr168THBxMx44d9cceX6ddpUqVPI9dZOzDDz/k4sWLjB49mu7du3P58mXOnTvHxx9/nCv9pyX1165dy5X+hBDHkXE1AAAgAElEQVRCCFF0SVKfx1q0aEGfPn3YsmUL5ubm+Pj4ADBu3Djs7e1Zt24dkJq4NWnSBE3TcHJy4r333sPIyChdIl+uXDl8fX1lt9ECokGDBsyaNQuAESNG5PpDy05OThgbG3Px4sVc7VcIIYQQRY+UtMxGScvsOHnyJNbW1lSuXFl/7D//+Q8XL17k6NGj/O9//+P999+ndOnSuLi4cOLECSZOnMi0adPyNC6RM0opzp8/j5ubW570X79+fby8vPjll1/ypH8hhBBCFCzZLWlpknchicd5eno+dWzQoEF07tyZ7du3s3r1atq1a8f27dvRNI3ExERKlixpgEhFVmialmcJPUDjxo2fqrAjhBBCCPEkSeoNqFOnTjRt2pROnToBqdVx0pZwSEIvIPVB64ULFxIdHZ3nf00SQgghROEla+oNSNM0pkyZAsCoUaNo3bq1YQMSBU6TJk1QSmV7AzMhhBBCFA8yU29grVu35tq1a1SsWNHQoYgCqGbNmjg6OrJlyxZeeuklQ4cjhBBCiAJKZuoLAGdn51yvnCKKBiMjI7p3787WrVsNHYoQQgghCjBJ6oUo4Ly9vTl//jzR0Zl+AF4IIYQQxYwk9UIUcF5eXgCcOHHCwJEIIYQQoqCSpF6IAq5mzZqYmZlx7NgxQ4cihBBCiAJKknohCjgTExM8PT05fvy4oUMRQgghRAElSb0QhUD9+vUJDAw0dBhCCCGEKKAkqReiEPD09CQ0NJSEhARDhyJEhgIDA7l7966hwxBCiGKn0Cf1mqb11TTtnKZp0ZqmHdU0zdvQMQmR2+rWrUtycjInT540dCjFwt9//81bb71l6DAKndDQULy8vHBwcODAgQOGDkcIIYqVQp3Ua5pWHlgMjABsgJ+AtQYNSog80LBhQypUqMDPP/9s6FCKhQ4dOvDjjz8SFhZm6FAKlcWLF6NpGrVr16Z79+5cvHjR0CEJIUSxUaiTesAJuKOU2q2UUsByoKKmaVbPaqxpmqmmadZpL+CZ7YQoaEqWLEn//v3ZtGkTOp3O0OEUaUop/efYz8/PwNEULn5+fgwYMID/Y+/Ow6qq1geOfxcoKCCCiIqKioqoCOSAU0omDqlXsyyvlWk5JGpWmlreLNO8ZQ5ppZmVluV4zZxNckpxHnEWHFAcUxGZFERYvz8OnB/IjMBheD/Pcx5hr7XXfs9he8571l5rbX9/f0qVKsWkSZNMHZIQQpQYRT2pDwQuKaU6KKXMgTeAfVrrqAzqjwMiUjykG04UGZ06deKff/7h9OnTpg6lWIuIiDD+vGzZMgz9BSIr4eHhHD9+HF9fX6pWrcqwYcNYuXIlDx48MHVoQghRIhTppF5rnQAsB9YCccBnwLBMdvkCwzCd5Ef1/I5RiLySfBMqGVefv65fvw7AwIED2bZtG2vXrjVxREVD8pKrzZs3B6B79+7ExMRw6NAhU4YlhBAlRqFO6pVSfymlYjN4jFdKdQbGA96AJYax9euVUjbptae1jtNaRyY/gIx69IUodOzs7HB2dubEiROmDqVYu3HjBgDjxo2jRo0aBAQEmDiiomHLli3Y2tpSr149ANzc3DAzMyMoKMjEkQkhRMlQqJN6rXUnrXWZDB6TAU9gq9b6lNY6QWu9EtBAA9NGLkT+cHd359SpU6YOo1hLTuqdnJxo0aIFBw4cMHFEhV9kZCTff/89gwYNwszM8LFSpkwZXFxcOHv2rImjE0KIkqFQJ/XZcAhor5RyUwbPA3bAeRPHJUS+cHV1lRVF8tm5c+eoWLEiVlZWNG/enMOHD/Po0SNTh1Woff/998TExDBq1KhU2+vXry9JvRBCFJAindRrrbcDXwH+QCQwGXhFax1u0sCEyCd16tTh4sWLsgJOPomOjiYgIIAWLVoAhvHh9+/fl6sjmdBaM3v2bF5//XWqVauWqkySeiGEKDhFOqkH0FrP0FrX0lqX01p7aK3XmTomIfJL3bp1iYuL49q1a6YOpdjZuHEj5cqVY/v27XTp0gUwjAsHuHTpkgkjK9xOnjzJlStX6NOnT5qy+vXrExISQmxsrAkiE0KIkqXIJ/VClCR16tQBkCE4+WDRokUA7Nmzh2HDDItoVahQAYCwsDCTxVXYLViwADs7O9q2bZumrH79+iQmJnL+vIyIFEKI/CZJvRBFiIuLC0opSZLywZkzZ/Dz86NVq1YopQAoXbo0tra2ktRn4NGjRyxcuJAhQ4ZQpkyZNOX169cHkCE4QghRACSpF6IIsbS0pEaNGtJTnw8ePHiAlZVVmu0ODg6S1Gdgw4YNhIeH06tXr3TLK1asiIODgyT1QghRACSpF6KIqVOnjvTU54PY2Nh0e5slqU9fYmIiY8eOpX379jRr1izDejJZVgghCoYk9UIUMXXr1pWkPsnt27fTbEtMTGTKlCk5nkwcGxtL2bJl02yXpD61VatW0bdvX7y9vQkODmby5MnG4UrpkaReCCEKhiT1QhQxderU4cKFC5w6dYrJkycbt1+8eJEzZ86YMLKCtXbtWipVqsQ777zD3bt3iY+PB2DdunWMGzeOBQsW5Ki9jHrqK1SoQHi4rJILsHjxYl588UUWL16MpaUlmzZtolWrVpnuk5zUa60LKEohhCiZJKkXoohxc3MjKiqKsWPH8vHHH3Py5En27t1LnTp1aNiwIYcPHzZ1iPlq8+bN3L9/n59++gmAOXPm4ODgQP/+/QGYOnUqAPb29jlqN6Ok3sbGhpiYmCeMunhYtmwZ3t7exMbGsmfPHjp37pzlPq6ursTExHDz5s0s6z569IjGjRsb/7ZCCCGyT5J6IYqYNm3aAIZ11QE+++wzxo4dS8OGDXFxcWH8+PGmDC9f/fbbb3Tq1Ilp06Zx+vRpRo0aRUBAAKNGjWLp0qWMHDmSPXv2AIaJr9mltSYuLi7dpN7a2pro6Og8ew5FVWJiIrt376Zbt25YWlpme7+qVasCcOPGjSzr7tmzh8DAQAYPHixXR4QQIockqReiiHFwcMDBwQEwjK//3//+x65duxg7dix+fn7s3LmThw8fmjjK/PHNN98AsGXLFkJCQmjQoAGtW7dm+vTp9OnTh1mzZlGqVCmsra2ZPXs2UVFR2Wo3+eZIGSX10lNvWJYyPDycp59+Okf7OTk5AYbhYVkNwVm7di1KKczMzFixYkWuYxVCiJJIknohiqC33noLgG3btjF79my++eYb+vbtS6dOnbh//z7btm0zcYR57+TJkxw6dIg2bdqwa9cuEhMT8fT0BEApxaRJk2jevDkzZ84kISGB0NBQhg8fDkBCQgKjRo1i/vz56badWVIvw28Mdu/ejZmZGS1atMjRfpUrVwbg5ZdfpnXr1pnWXb9+PYMGDcLLy4t9+/blOlYhhCiJJKkXogiaPHkyV65cwdnZmeHDhzNixAjMzc3x8vLCzc2N33//3dQh5pn58+dTr149PDw8qFatGl999ZWxrHHjxsafXV1d2b9/P2+//TaPHj0C4O+//2bt2rXY2toyc+ZMBg0axLZt20hISEh1jKx66mX4jSGpf+qppyhXrlyO9itdurTx53379nH69Ol064WHhxMUFMQzzzxD8+bNOXDgwBPFK4QQJY0k9UIUQWZmZlSvXj3NdqUUTz/9NEePHjVBVHkvMjKSd999lxo1avD++++zatUqmjVrxogRIxg9enSqhDGl5KT+ypUrjBo1ivv37zN48GCeffZZfH19KV26NEOHDjXWT07q01vS0tramri4uDRfBEoSrTW7du3K8dCbZF5eXsafk+eCPC75nG3atCnu7u6cO3euRL/mQgiRU6VMHYAQIm95eHiwZMkSHj16RKlSRfu/+KZNm4iJiWHBggXUqFHDuD15bH12XLhwgTVr1tC9e3du377N3LlzuXz5Mt9//z1eXl6cO3eOTp06ARkPvwGIiYnB1tb2CZ9R0bRmzRouXLhA9+7dc7X/7t27CQ4O5s0338zwbsj79u2jXLlyuLq6EhoaysOHD7l06RJ16tR5ktCFEKLEKNqf+EKINDw9PYmNjeX8+fPUr1/f1OE8kZ07d+Lq6poqoc8NX19flFJUqlSJCRMmcP/+fQIDA4299clr2mc0/AYgOjq6RCb1ffr0Yfny5XTr1o0OHTrkqg1ra2saN25svMdCerZv346Pjw/m5ua4ubkBEBQUJEm9EEJkkwy/EaKY8fDwAODEiRMmjuTJ7dixg2eeeSbX+9etW5devXoZE/NkVlZWHDlyhIsXLzJr1izu3bsHZJ7Um2Ky7GuvvWbSNdtDQ0NZvnw5AL/++mumd47Njtq1a6d7N+T4+Hh2795t/Fs7OztTtmxZgoKCnuh4QghRkkhSL0Qx4+joSJUqVYp8Un/nzh1OnjyJj49PrtsIDg42JqXpcXFxwc/Pj/LlywNZD78pSLdu3WLJkiUMHjw4R0uU3rlzJ1fHu3v3Lg0bNqRbt25s2LCBhIQEVq9ejYWFBREREVSoUCFX7abUrFkzQkJCuHbtWqrtgYGBPHjwgLZt2wKGOSOurq6S1AshRA5IUi9EMeTh4cHx48dNHcYT2bVrF8AT9dQrpTA3N8+0jqWlJRcvXmTGjBm4uLikKU85/OZJ3Lp1ixdffJHt27dnq37Kyc7ZvUvw6NGjcXR0ZP/+/TmOb/78+Zw5c4aNGzfyr3/9i6eeeor3338fX1/fPBt2lDwMavPmzam279q1izJlytCkSRPjNjc3N4KDg/PkuEIIURJIUi9EMeTp6Vnke+p37NhBzZo1czWevmbNmjmqX6FCBUaNGoWZWdq3xLwafrNy5UpWrVpF7969iYuLy7L+kSNHsLa2xsrKyvgFBwxDYu7evZum/oULF5gxYwZgmNiaUzt27KBz586cPXuWHTt2UKVKFcqXL8+ECRNy3FZGKlasSNOmTfH390+1fffu3TRv3hwLCwvjtho1anD16tU8O7YQQhR3ktQLUQx5enpy8eJF41jxoujw4cO0bNkyV/sePHgww/XQcyqvht9s2rSJypUrExYWxi+//JJl/SNHjuDt7U2rVq0ICAgA4NSpU9SsWZPBgwenqe/v70/p0qXp0qULe/bsyVFsWmsOHDhA8+bNcXNzw8fHh82bN3Pnzp0c32wqKz179mTZsmX4+PigtSYhIYG///7bOPQmmZOTEzdu3MjTYwshRHEmSb0QxVDykJW///7btIHkktaaU6dO4e7unqv9HR0dadCgQZ7EkhfDb+Li4ti6dSsjR47k+eefZ968eVnuExgYSOPGjWnbtq3xDrorV64E0v+7/vXXX7Rq1YpWrVpx8uRJtNbZju/u3bvcvn3bOMk6P40ZM4Znn32WgIAA/vjjDw4ePEhYWBjPPfdcqnpOTk5ER0cTHR1NYmIiiYmJ+R6bEEIUZZLUC1EM1axZk7p166YZu1xU3Lp1yzhx09QsLCwwNzfPVU+91pr4+HgCAwOJiYnB19eXV155haNHj3L9+vUM93v48CEXL16kQYMGtGnThvDwcM6cOcOGDRsAQxJ+69YtY/34+Hi2b99Ox44dcXd3JywsLFV5VkJCQgDD6jT5zcLCgi1btuDr68t7771H165dqV69epqrMk5OTgDcuHEDT09POnfunO+xCSFEUSZJvRDFVIcOHYpsUp88fKRZs2YmjsQw2dbGxiZXSf27775LrVq12LBhA2ZmZri7u9O0aVMATp48maZ+YGAgZ8+eJSQkhMTERFxdXWnZsiWlSpVi0aJFHDx4kE8++QRIPXl2wYIFREZG0rNnTxo1agQYhupk18WLFwHSnSicH8zMzOjduzdXr14lPDyciRMnprlRWsqk/tSpU2zZsoUHDx4USHxCCFEUSVIvRDHVtWtXzp07V+QmzCYmJjJv3jxcXFxyPOE1v1hbW+d4+M39+/f59ttvuX79Op999hm1a9embNmyuLi4YGVllebv4ufnR+PGjWnevDnnzp0DwNXVFWtraywtLZkyZQrly5dn5MiR2NvbGxP569evM2LECPr06UOjRo2oU6cOlpaW6X5pyEhISAi2trbY29vn6Dk+idatWxt/HjBgQJry5KT+8uXLxm3JVxSEEEKkJUm9EMVU586dsbe3N47DLir27t2Lv78/EydONHUoRtbW1jnuqU++c2ryOvv/+te/AIw99imT+tjYWBYtWgRAVFSUcX345MT2o48+wt7enk2bNmFnZ0fv3r35/fffGTFiBIsXL8bc3Jy5c+cCYG5uTv369TPsqV+yZAlVq1bF1dXVmDCHhIRQu3btJ765VE4kz5ewsrJKt9zW1payZcty4MAB47YrV64USGxCiJIlu3OQHj16REJCQj5Hk3uS1AtRTFlYWNCmTZtUyyEWBevXr6dSpUq8+uqrpg7FKDfDb5J725cvX86GDRuYMmWKsaxRo0acPHmSiIgItNacPXuWmJgYAgICqFKlCgsXLqRq1arGJTbHjRtHWFiYcSWaOXPmMGDAAJYvX86SJUvw9fXFzs4uVfvpJfVhYWH4+fnh4eHBgwcPGDp0KGBI6gtq6E0ypRSXLl3izJkzGZZXqVKFffv2GbeFhoYWVHhCiBIgKiqK9u3bY21tzW+//cZvv/1GWFgYAQEBqRL9sLAwRo4ciaOjI506dSq0E/clqReiGGvdujX79+8vtG9A6Tly5AgtW7bM8qZRBSk3w2/OnTuHra0tlStXpmvXrlhaWhrLPDw8OHz4MHZ2drz++uvGZLVu3bq8/vrrPHr0iOrVq6dqL2Uvurm5OVOmTCEuLo7AwMA0K8e4u7unWQHn0KFDVKxY0XhV4Ouvv+bPP/9k8eLFXLx4scCTeiDL+xA4OTlx6NAhwLDGvST1IivR0dGMHDmSHTt2mDoUUQRMnjyZAwcO4ObmRr9+/ejXrx8VK1bEx8eH3377jZiYGHbs2EHr1q1ZsGABvXr1Ytu2baxevdrUoadLknohijEvLy+io6NTjUsu7E6cOFEgSyvmhI2NTY6T+vPnz+Pq6prukJbnn3/e+PPixYs5evQoFhYWVKpUiTfeeAMgTVL/OEdHR5YsWcKAAQN46623UpW5u7sTERGRaoWdadOmUb58edatW4ejoyO9evWiW7duTJgwgZCQkEKx0tDjqlWrBmAcLiTDb0RWfvnlF2bNmsXLL7+co2VdRcmSmJjIoUOHmDdvHkOHDmXbtm289dZbzJ07l6ZNm2JlZUX//v2xsbGhXbt23Llzh5UrV/LTTz/h4+PDrFmz6NmzJ/Pnzzf1U0mlUCf1SqlSSqmVSqlrSimtlKqSTp03lVLnlFIxSqkzSql6pohViMIoOTnOyaRJU7p37x43btzI9fr0+cXOzo7w8PAc7XPu3DlcXV3TLatduzYrVqxg2bJlAHz//fc4OztjZmZGw4YNeeGFF9LcjCk9r7zyCvPnz091J1bAuAJO8t89MTGRHTt2MGzYsFRLQw4YMIALFy6QkJBA165dc/T8CkLyvQZq1qyJs7Oz9NSLLB07dgyA27dvc/PmTcDQUZBytShRfGmt2bt3b6pJ9QkJCXzzzTdERkYCMHHiRBo2bIi3tzdlypRhzJgx2NvbM2/ePPz8/Dh06BChoaF8+umnfPXVVxw8eJBbt27RoUMHAAYNGkRAQABr1qxh0KBBhepKeKFO6pPsBHqlV6CU6g68D/QEbIB/AXcKLjQhCrdq1apRuXJl4x1JC7uCXC89JypWrEhYWFiO9sksqQd46aWX+Pe//03Dhg25efMmdevWNZb98ccfDBs2LNfx1qpVCysrK+O4+oULF/LPP/+kukIAhisG3bp1Y/LkycZJuYWJm5sbAJUrV6ZGjRrSUy+ydPLkSZo0aQIY/g9evHgRT09PmjVrxvnz500cnchvU6ZMoXXr1jRo0MD4ubdu3TreffddPvvsM3bt2sWnn36Kvb09a9as4ezZs1SqVClNOw4ODkyYMIGRI0fSrFmzVMNB//3vf+Pl5WV8f8rOHcILSqFO6rXWj7TWX2ut92VQ5WNgpNb6lDa4oLW+W5AxClGYKaXo2rUr69atM3Uo2XLp0iWg4NZLzy4HB4ccJfW3b9/m+vXr2bri0KZNGwA8PT1zHd/jzMzMaNmyJd988w0hISG89957vP7668aJtsnMzc1Zv349H330UZ4dOy8988wz1KpVi0mTJhmT+sLUKyYKj+ThcaGhoXTs2BGlFOfOnWPevHlYWlpSoUIFxowZY+IoRX66du0aEydOZMiQIbRq1YoXX3yRyMhI4xCZv/76iw0bNlCpUiX27NlDjx49Ui0wkF0WFhYcPnyYM2fO0LdvXwYOHEiLFi0KxZfGQp3UZ0YpZQ40BjyUUleVUiFKqU9UJmuyKaUslVK2yQ+gXIEFLISJdO/enbNnzxaKN5yshISEYGVlhaOjo6lDScXBwYE7d+5ke4xu8jKM3t7eWdZNXqM9r4cc/fzzz8THx1O7dm0iIyP54IMP8rT9glCtWjVCQkLw8PCgRo0axMXFpXun3MuXL7N27Vru3JELtSXRokWLKFeuHHv37uX27ds4Ozvj7OzM+fPn8ff3p0+fPsyePZvVq1ezbds2U4cr8skXX3yBtbU1U6dO5bfffiMyMpJevXqxceNGWrZsyYkTJ4yrhT3p8r3m5uYopZg7dy6zZs3iypUrDB8+nEePHhnrrF+/nvXr1xs7qwqE1rpIPAANVEnxe9WkbRsAO6AGcAp4M5M2Pk3aJ9UjIiJCC1FcRUVFaQsLCz1z5kxTh5KlQYMGaS8vL1OHkcbixYs1oKOiorJVv3Xr1rpOnTo6MTExW/VPnz6tExISniTEDNt97bXX9Msvv5ztWAqrY8eOaUD//fff+sMPP9RBQUFaa60DAwO1nZ2dBvRrr71m4iiFKbRr104Dunv37hrQ//vf/7Svr69u27atVkrpX375RScmJuqWLVtqT09P/ejRI1OHLPLYgwcPtK2trR4/frxx23fffacBXa1aNR0cHGzM+VavXp3nx9+wYYMuVaqU7tatm75+/bqeP39+qjzzyy+/zFF7ERERyfva6pzkyjmpnNcP4C8gNoPH+MfqPp7U2ydt80mxbRiwIpPjWQK2KR7VJKkXJcFzzz2n27dvb+owstS0aVP9xhtvmDqMNPz9/TWgL168mGXd+/fva6WUnjdvXgFEVnLcu3dPA7pZs2Ya0M7Oznrr1q26UqVKumnTpvqdd97R1tbW+syZM6YOVRSwKlWqpEqgtm/frv38/DSgzc3N9a1bt7TWWu/bt08D+rvvvjNxxCKvrVy5UgNp/v+vWbNGX79+XWut9YcffqjfeOMNHR8fny8xbNiwQZuZmRnPQz8/P33q1Ck9YMAAXa5cOX358uVst1Ukk/ocBfpYUp+07dpjSf3wzJL6dNq0laRelARff/21trCw0DExMRnWyY+e4py4fv26trCw0N98841J40hPSEiIBvSqVauyrHv48GEN6H379hVAZCVLhQoVjB+Yyb3zDRs21Ldv39Znz541lh04cMDUoYonkJiYmO0rS+Hh4RrQ/fv3N/79T506pRctWqSBNJ0ZgwcP1mXLltXHjx/Pj9BFAYuOjtYffPCBrlmzpm7SpImpw9E7d+7UgPbw8DB+poaHh2t7e3v90Ucfaa21Pn/+fJaft7lN6gv9mPqkcfBlkn5N+TPAL8BYpVQ5pVRVwA/DcBwhRAodOnTg4cOHtGjRgrt3U88lj4+Pp0OHDri7u+d4Lfa8tGDBAiwtLXn99ddNFkNGatWqhYuLC7///nuWdZNXnCmM674XdTNmzABg+PDhHD16lI8//pjNmzdTsWJF3Nzc2LFjB1ZWVgwZMsR40ypRtGzevJkGDRpgb2/Pxx9/zL59+/j4448JCgri3r17aeqfPXsWMCwzmKxKlSq88sorzJw5M83KJLNmzaJu3bq89NJLad4LRdESExND9+7d+fbbb3F3d2fBggWmDom2bdty5swZ/vrrL+Mdwe3s7HjuuedYs2YNy5cvp27dugwcODDTdr799tvcBZCTbwCmeACXeGwMfIoyC+BHIAJDr/1EQOWgbempFyVCYmKi7tq1qwZ0ly5d9P37941lc+bMMf7fmj17tsli7NGjh+7YsaPJjp+Vb7/9Nt3Lu48bO3asrlmzZsEEVQJt2bJF3759O8Py7du3a0Db29sX+XkEJc28efM0oCtWrKiHDBmSZv6bs7OzPn36tI6NjTXu8/PPP2ullI6JidE9evTQffv2zfI4586d0/b29nrIkCFaay3nSRHx8OFD3bt3bz1z5ky9fft2XbVqVW1tba0DAgJMHVqWduzYoZVSqc7n0aNH60uXLqWp++DBA21vb1+8h9/kx0OSelGSxMbG6hUrVmgrKysNaF9fX713717t6Oio+/fvrzt27Kh9fX1NFp+Tk5P+z3/+Y7LjZyU6OlpbWlpmOeG4W7duulu3bgUUlUhP8vja5LG0ovALDw/XdnZ2ul+/fjouLk5rrfWXX36pX3nlFb1lyxb96quvGpOhPn36GPd79913da1atXJ8vC+//FIDunbt2rpcuXK6a9euJh+CKDL3/vvvp0qK27Ztq4ODg00dVrZ99NFHGtBr167VI0eO1IC2srLS58+fT1Vvx44dKZ+nJPXZfvKS1IsSaMOGDbpevXq6WrVqxjeV0NBQ/d1332lzc3MdFhZW4DFdv35dA3rlypUFfuyc6Nixo37uuecyrVOzZk09duzYAopIpCcoKEgDevPmzaYORWTTJ598osuUKZPpF7EdO3YY37cOHTqkQ0NDtaWlpfbz88vx8eLj4/Xo0aP1s88+q729vTWgN27c+CRPQeSj2NhYXa5cOT127Fjt6+urq1atWiS/tKf8fA0ODtZVq1bVffr00YcPHzZ+qfz222916dKlJanP6UOSelGShYeH699//12HhIRorbW+evWqBvTy5csLPJb169drIN1LkYXJjBkzdJkyZfSDBw/SLY+MjFyy+0YAACAASURBVNSAXrhwYQFHJlKKj4/XpUqV0nPmzDF1KCIbdu/erS0sLPSYMWOyrBsfH68bNmyo27VrpydMmKCtra2f+DM8MTFR165dO1dfDkTeS2/J0XXr1hknQRcn06dPN/bKe3t769jYWP3mm29qDw+P4jlRVgiRP+zs7OjVqxe1atUCDDf6qV27Nnv37i3wWI4cOUKFChWoUaNGgR87J3x8fIiNjeXYsWPplp8+fRqARo0aFWRY4jGlSpWiWrVqXLlyxdShiCz8888/vPjiizRv3pzJkydnWb9UqVJMmzaNv//+m4kTJ/Lqq69ia2v7RDEopejcuTPbt29/onbEkwsPD8fJyYmZM2em2r58+XLc3Nxo0KCBiSLLH8kTvN3c3AgMDOTpp5/m559/pn379rlqT5J6IYRR69at2bNnT4Ef9/DhwzRt2vSJ7/KX3zw9PbGwsGD//v3GbXfv3sXNzY0+ffpw8OBBSpcuXew+eIqiGjVqEBoaauowRBY++eQT4uPjWblyJRYWFtnap0uXLsbVpd599908iaNt27YEBQWle8diUXB+/fVXbt++zahRo7h//z4Ax48fZ8mSJfj5+RX6z4icKl++PMHBwRw6dIi//vqLmzdvUq5cuVyvAidJvRDCqHXr1hw5coQHDx4U2DETEhLYt28fTZs2LbBj5paFhQWNGjVK1VP/66+/EhwczPLly1mxYgXNmzenbNmyJoxSgCT1RcGVK1f4+eefGTduHJUqVcr2fkopduzYwf79+3F3d8+TWNq0aQPA7t2786Q9kTs7d+6kWrVqlC5dmq+++oo7d+7w4osvUrduXYYNG2bq8PKFq6srNjY2tGvXjtOnTxMUFISrq2uu2pKkXghh1Lp1ax49esTBgwcL7JgBAQH8888/dO/evcCO+STc3d2Na9ED/PXXX3h7ewOGD6TnnnvOVKGJFGrUqCHDbwq5L7/8EhsbG/z8/HK8b8WKFWnevHmexeLs7EyNGjXYuXNnnrUpciY+Pp7t27czcOBA3n77bSZMmEDbtm0JCwtjw4YN2b6SU5TZ2tri5OSU6/0lqRdCGDVq1AgbG5sCHYLz3Xff4erqSsuWLQvsmE8iOalPTEwE4OjRo3Tu3Jl+/fpRvnx5+vfvb+IIBRiStKtXr5KQkGDqUEQ6Ll26xA8//MCYMWOwsbExdTgAdO3alWXLlvHw4cMM64SFhdG+fXscHBx47733uHnzZgFGWLxt2rSJ8PBwevbsyfjx46lUqRKhoaGsWLGCunXrmjq8IkGSeiGEkbm5Oa1atWLz5s0FcrzQ0FBWrlzJe++9Z7z7XmHXokULoqOjOXbsGDdu3ODmzZs0btyYhQsXcu/ePZydnU0dosDQU5+QkMCNGzdMHYpIx+eff46dnR3vvPOOqUMxGjJkCDdv3uTPP/80fhmMiIigQ4cO/PbbbyxevJi2bdsSGBhInz59+Prrr3FycmLx4sUmjrzoe/ToEePHj+fpp5/mqaeeokKFCpw9e5YzZ87QoUMHU4dXZBSNT1EhRIF5/fXX2bZtG+vXr8/3Y23ZsgWtNX379s33Y+WVli1bUqZMGbZv387Ro0cBaNKkiYmjEo9LXklJxtUXPpcuXeLnn39m7NixWFtbmzocIy8vL5ycnOjZsydlypShYsWK2NnZsXXrVvr160ffvn15+PAhq1atYs6cOezZs4fu3bvTt29fGjZsyK5du0z9FIqcM2fO0L9/f2rWrMmJEyeYNm2acTJs+fLlC/2KaIWN0ob12kskpZQtEBEREfHES2IJUVw8evSIl19+mY0bN3L8+HHc3Nzy7Vjvvvsuf/75J8HBwfl2jPzQoUMHLC0tadmyJTNnziQsLKzYrcpQ1EVERGBnZ8fSpUvp06ePqcMRKQwZMoRVq1YREhJSqJJ6MKzEdfToUSIiIti0aRMBAQGsXLmSy5cvExMTw+jRo1P9X9da89tvv/Hpp5+SmJjIiRMnKFeunAmfQdERFxdHw4YNiY+Pp3fv3vTq1YtWrVqZOqxCITIykvLlywOU11pHZne/UvkXkhCiKCpVqhRLly6lfv36fPDBB6xevTrfjnXs2DG8vLzyrf380rlzZz788EOOHTuGj4+PJPSFUPny5bG1tZXJsoXM5cuXWbBgAZ9//nmhS+gBmjZtalyJa+TIkURFRSUnV+lSStGvXz/atm1L/fr1mTNnDh9++GFBhVukLVmyhIsXL3Lq1CnjEqXiycjwGyFEGmXKlGHixImsWbMm34YvaK2LbFL/zjvv8PbbbxMREcHgwYNNHY7IgCxrWfhMnz4dOzs7hg4daupQsmRmZpZpQp+Si4sLvXv3ZunSpfkcVdF28uRJRowYQUhICJMmTeL555+XhD4PSVIvhEhX9+7dUUqxZcuWfGn/ypUr3Lt3r0gm9ZaWlnz99ddERUXRrVs3U4cjMiBJfeESFhbGggULGD58eKFZ8SYv+fr6cuLECe7du2fqUAqt0aNHM3v2bGrXrs3Vq1f58ssvTR1SsSJJvRAiXRUqVMDT0zPfbsaSfAOnopjUi6KhRo0aXL582dRhiCRff/01iYmJxfYmQj4+Pmit5QZWGQgMDMTf35///Oc/vPXWW6xYsSJf52yVRDKmXgiRIW9v73y7EdWxY8ews7OTJSBFvnFxcWHJkiVorWXeg4nduHGDGTNm8M477+To7rFFiYuLC1WrVmXnzp1yBS8dn3/+OS4uLkycOJFSpST9zA/SUy+EyFDTpk05efIkDx48yPO2k8fTS7Il8kvt2rWJjIzk7t27pg6lRNNaM27cOMqUKcO4ceNMHU6+UUrh4+NDQECAqUMpVKKiohgxYgQrVqzgk08+kYQ+H0lSL4TIULNmzUhISOD48eN53nZRnSQrio7atWsDcPHiRRNHUrKNHTuWhQsXMnXqVOzs7EwdTr5q27YtBw8e5P79+6YOpVBITEykb9++zJ8/n8mTJ8sdt/OZJPVCiAx5eHhQunRpDh06lGGdp556iunTp+eo3ZiYGM6fPy9JvchX9evXp1SpUpmevyJ/bdmyhenTpzNjxgwGDhxo6nDyXdu2bXn06BH79+/P1f4FeVUpNDSUNm3a8P777xMVFQVAcHAwy5cvJy4uDoAvvvgCOzs7WrZsyQ8//MDJkyfJyf2N/P39Wbt2LUuXLuWjjz6SK7P5TJJ6IUSGLC0t8fDw4PDhw+mWx8bGcuzYMcaMGZOjdk+cOIHWWpJ6ka+srKzw9vZmx44dpg6lRNJaM2bMGHx8fHjvvfdMHU6BcHd3x97enp07d+Z438uXL+Pg4MCvv/6aD5GlNW/ePHbv3s2cOXNo2bIlp06dwtvbmz59+tChQwfmzp3LhAkTcHd3p1SpUgwZMgQPDw/8/PyyfYxly5bRoEEDevTokY/PRCSTpF4IkammTZuydOlSwsPD05SdP3/e+HNOem+OHTuGubk57u7ueRKjEBlp0aJFseupX7BgAVOmTCEhIcHUoWTo9u3bbN26lcDAQD788EPMzEpGumFmZkbbtm1zldTv2rULgLlz5+Z1WOlas2YNb775JkePHiU0NJQmTZpgY2PDxo0buXDhAsOGDaNHjx5s3ryZXbt2cfbsWb744gt++OEH2rRpY+zdz8yePXvo2LGj9NAXkJLxv0wIkWs9e/YkNjaWQYMGpSkLCgoy/nz79u1st3ns2DHc3NwoU6ZMnsQoREYaN27MhQsXiIzM9p3WC7V9+/YxcOBAxo0bx++//27qcFI5duwYzz//PG+88QbOzs507NiRGjVq0KlTJ1OHVqB8fHzYu3dvjsfVHzhwAKBA7oJ869YtTp06ha+vLw0aNGD37t306tWLX3/9lS5dunDhwgVCQ0P5/fffsbKyAsDNzY0PPviASZMmsW/fPmbMmJHpMcLCwjh//jzNmzfP9+cjDCSpF0JkqmvXrvzyyy/88ccfnDx5MlXZ2bNnjT9fvXo1223KJFlRUJLPs1OnTpk4ktxJufKU1povvvgCFxcXmjZtytq1a00YWWqbNm3C29ubwMBAdu7cSc2aNZkyZQqLFy/G3Nzc1OEVqJ49e6K1pk6dOjmapJ38Hnrt2jUiIiLyKzwA5syZg4WFBR07dgTA09OTJUuW4OvrC0DZsmXTXW5YKcXHH3/MsGHDmDNnjnHsfXpWrlyJUopnn302f56ESEOSeiFEll599VWsrKzw9/dPtf3s2bPUrVsXyF7vktaaxMREjh8/Lkm9KBB16tQBiuYKOOHh4djb2/P2228DMHPmTNauXcu0adOoX79+oblbbkJCAqNGjaJNmzacO3eOixcvEhQUxAcffECbNm1MHV6Bq1OnDtu3bycuLo5vv/022/vduHEjX7+E7t+/Hz8/P8aNG8ekSZMYMWJEru8ZMHToUO7cucPq1avTLV+/fj2jR4+mR48eVK1a9UnCFjkgSb0QIkulS5fGw8PDeBfYZGfPnqVt27ZYWFhkK6mfNm0a5ubmREdH07hx4/wKVwgjGxsbKlWqVCST+kWLFhEXF8ecOXMYO3YsY8eOZcyYMfTq1YuaNWvmy91yw8LCUg2ry8g///xDfHw8AJMmTeLMmTN8+eWXWFhY5HlMRVHLli1p3759jpYDvnnzJh06dMDKyoo9e/bkaTw3b96kffv2LFu2jClTpuDl5cXUqVNz3V6DBg3w8fFh0qRJaeZbJSQk8M477/DUU08V2KRfYSBJvRAiW7y8vFIl9YmJiZw+fZpGjRpRvXr1LJN6rXWqCWDt2rXLr1CFSMXFxYULFy6YOowc27t3Ly1btmT48OFMmzaNChUqMGnSJABq1qzJtWvXiI+P5+bNm7zyyiuMGTOGn376iSFDhtC3b18WLVqU42N26dKF+vXrZ5qMTp06lSpVqlChQgWef/55Jk2axOeff463t3eun2tx5OnpybFjx7K1iIDWmps3b+Ls7EyrVq3YunVrnsbyyy+/oJQiJCQEf39//v777yeevPzdd99x8+ZNunTpws2bN43b9+3bR0hICF988QW2trZPGrrIAUnqhRDZ4unpyZkzZ3j48CEAly5d4v79+8akPqsx9efPn+fSpUt89dVX7N69W3r0RIGpXr06N27cMHUYObZv3z6aN2/ON998w48//khAQIBxcnmNGjVITEzk+vXrfP755yxbtowFCxYwePBg/vrrLxYvXszQoUO5detWto+3fft2Dh48CMD333+fbh2tNT/88AO+vr706dOHs2fPMmXKlGJ9p9jc8vT0JCwsLFXCm5HIyEgePHhAlSpVePHFF9myZQt37tzJs1gCAgJo06YN9vb2dOrUKU9uAubu7o6/vz8hISG0a9fOuMb+mjVrqFy5Mq1atXriY4ickaReCJEtXl5exMfHGyfHJk+abdSoEc7Ozml66q9cucKrr75qnEi1a9culFIMGDCA1q1bF2zwokSrWLFijlZnKgyuXLlCSEgIPj4+mJmZMWjQINzc3IzlNWvWBAxfrlevXs3bb7/NnTt3OHv2LOfOneOff/6hTJky9OjRg4kTJ2ZrjPaKFStwdXXlww8/ZOnSpcTGxqYqT0xMZNCgQVy4cIHx48fz448/GsfOi7Q8PT0BsjUEJznxd3Jy4uWXX0Zrzf/+9z82btzI2LFjuXTpUq7jSExMZM+ePfnyvtusWTN2795NWFgYPXr04Pbt26xatYoePXqUmGVMCxN5xYUQ2ZK8pnzKpN7e3h4nJ6d0k/oPPviApUuXGsfn7tq1C09PT8qXL1+wgYsSz9HRMU97PQtC8g2zfHx80i2vUaMGAKtWreLKlSv07NkTpRRubm6UKlWKSpUq8csvv3D8+HEmT55M8+bN00ysPXnyJOXKleOLL74ADDeFa9asGW+++Sb37t3DxsaG6dOnEx8fz61bt5g4cSILFixg5syZMnwuG2rVqoWtrS179+7Nsm5yUl+lShUcHR3x9fVl+PDhdOvWjWnTptGnT59s3wskMjKS2bNnG997Dx06xL1793j66adz/2QyUbduXdatW0dQUBDVqlXj/Pnz9OzZM1+OJTJXqJN6pZSbUmq9UuqOUuq2UmqRUso+nXq1lFIPlFLpXy8UQjwxOzs7ypYty/Xr1wFDQuDu7o5Silq1anH16lXjxDmA06dPAxiH6+zatSvfPlSEyExyT31ObpCWl/bt28evv/6a5vhxcXEEBASk6hG/efMmt2/fZs2aNTRq1AhHR8d027S2tsbBwYGvv/4aJyendJP/bt26ERUVxZ07d7C3t6dz584EBAQYyydOnEh0dDQbNmxAa82JEyfw8PCgXr16TJw4kRYtWvDBBx/g5ORE5cqV+eyzz3jnnXdKzN1hn5SZmRkvvPAC8+bNM75vZiRlUg+GuQ0AL7zwAtu2bWP//v0ZrjQTGRmZavjj8OHDGTFiBM2bN6dBgwa0aNECGxsbWrRokRdPK10tW7bE39+f+Ph4ypUrR/v27fPtWCJjhTqpB8oD/wPqALUAC2B6OvVmAkcKLiwhSh6lFFWrVk2V1Ddq1Agw9NQ8evQo1WocyUl9dHQ0cXFxBAcH06RJk4IPXJR4jo6OxMbG5vhmQHlh6dKltGrViv79+zNhwoRUZV9++SU+Pj5Mnz6do0eP0qFDB2rVqkWlSpX4/fff6d69e6ZtN2jQAICff/6Z0qVLp1vH3Nyc8uXL8+eff3L79m18fHzYuXMnwcHBrFy5kjp16nDs2DFCQ0OJiIgw/p/+5JNP2L17NwcOHKB79+506NCBq1ev8vXXX+fBq1JyfPLJJ0RFRfHll19y+fJl4uPjWbduHfHx8cTGxvLf//6XY8eOcePGDcqWLUu5cuUA6NevH+PHj+enn37i2WefNfbcjxs3jmbNmlGrVi0OHz5McHAwVatWpV69ety9e5f79++zevVqRo0aRe/evalQoQLz5s3j0KFD2NjY5OtzbdKkCVeuXOHEiRNyY0FT0VoXmQfQETjx2LbOwGrgU+D7HLZnC+iIiAgthMha27Zt9WuvvaYfPnyoS5curWfPnq211vrSpUsa0H/++afWWut79+5pQAN67dq1Ojg4WAN669atpgxflFD+/v4a0CEhIQV+7Kefflp7e3vriRMnakAfOnTIWObq6qoBXaFCBW1tba2dnZ318OHD9ejRo/WiRYt0fHx8pm3funVLL1u2TCcmJmYrloSEBO3i4qIHDhyoBw0apKtUqaI3bNigAT1jxgyTvUbF3UsvvaQBrZTSbdq00YAeNmyY7tixowZ0t27d9OjRo7WLi0uGbQQHB2tvb29tZ2envby8dMOGDTWgzc3NdcWKFTWgGzdurD09PXXp0qXl71jERUREJH+G2uoc5LWlCuarQ55pDRhn+yilLIBpwItA36x2VkpZApYpNpXL6wCFKM6qVq3K1atXOXfuHPHx8cZeverVq2NhYcH58+cBwxjOZFFRUcYe/OTJfUIUJHt7w6jNe/fu5XnbWmuUUumW3b59mz179vDTTz/Rr18/pk2bxpYtW2jatCnXr1/n3LlzDBgwgAULFgAQGhpKhQoVsn1sR0dH/v3vf2e7vpmZGa+99hqTJ08GDFcKkidP/vzzz9jY2BjH6ou8M2rUKGxtbQkODmb37t1UqlSJ7777DoAWLVqwdetWIiMjjVde0uPq6sqBAweM51t0dDSLFi0iPj6eV155hc8++4xvvvmGdu3asWzZMmrVqlVAz04UJoV9+I2RUuop4B3gsxSbRwEbtdbns9nMOCAixSP797UXQuDh4cHRo0fZt28f8P+rO5ibm1OnTh3Onj1Ljx496NChg/EyclRUFJcuXUIple5tx4XIb8lrZUdGRuZpu9HR0VSpUoWXXnqJR48epSnfuHEjYBjbXqpUKVq3bs3OnTsBjDcXmjBhAt26dWPevHk5Suhza/jw4ZQrV45atWoxdOhQ7OzsaNSokXE4naxYkvdatWrF/PnzjfMnkleycXR0ZPHixcTGxhIQEGB8P81M8hdIGxsb/Pz8GDFiBBUrVmT69OkEBwezbds2Xnzxxfx8OqIQM+n/XqXUX0qp2Awe41PUcwHWAQO11qeStlUDBgD/zcEhv8AwTj/5UT3PnowQJUC7du2IjIxk1qxZNGzY0NgDCoZx9XPmzGHdunWAYakzW1tbY0991apVZW16YRLJKy7ldVL/xx9/cOvWLVauXMnKlSvTlB85cgQ3NzcqV64MGFay2b17NwkJCezZs4datWpRo0YN1q9fz1tvvZWnsWWkSpUqhIaGcvjwYeMX7+TefgcHhwKJoSSzsLAwLjhw4cIF6tSpY1wz3svLK9ftli5dGldX1wyvGomSwaRJvda6k9a6TAaPyQBKqSrAZuAzrXXKqd/egDNwTil1ExgN9FNKbcrkeHFa68jkBxCVf89OiOKnZcuWODs7c+LECbp165aqzNXVFTD05i9fvpylS5dSrlw5IiIiuHTpklwOFiaT3FMfERGRJ+2FhobyySef4Ofnx7PPPkvDhg3x9/dPUy8oKCjV2vJt27YlIiKCEydOEBAQYLLVoOzs7FJdFXj77bepUKECr732mkniKYmcnJyMX6oePHgAIKuDiSdWqK+zKaXKA/7Ar1rrHx4r/hNwAZ5KenwPrADkXUmIfGJubs6iRYsYPHhwmjtIvvnmm4AhQejduzeVK1fm2rVrTJ48mWPHjsl4emEyZcuWxdzcPE966mfNmoWHhwefffYZ//rXv9iwYQMvvPACCxcuZOvWranqBgUFUa9ePePvzZs3x8LCgoULF3Lo0CHjsoWmZmdnR1hYGK+88oqpQymRpk6darzfhxBPQmkTrdubHUqp/sAvQEzK7VrrNOsyKaU+Baporf1y0L4tEBEREWHsyRFC5F5ERESqm0s5Ozsb10/+z3/+w3//m5PRckLkHQcHB8aOHftEdz+Ni4vD1tYWe3t7AgMDjWuKJyQk0K5dO8zMzIw3jXrw4AHW1tb8+OOPDBw40NjGM888w86dO3FwcODy5ctYW1s/2RMTQhQ7kZGRyZ+l5ZNGlmRLoe6p11ov1ForrbVNykcGdT/NSUIvhMh7j98tNuW69UOHDi3ocIQwsrW1feKe+j179vDw4UP8/f2NCT0YrmD17NmTQ4cOGSfMnj9/Hq11quE3AKNHjwZg7ty5ktALIfJUUVvSUghRhJiZmREYGIiTkxOVKlUydTiiBLO1tX3iMfXJN/Dx8PBIU+bt7c39+/c5ffo0np6eBAUFAaRJ6rt3786DBw/k5jxCiDxXqHvqhRBFn5eXlyT0wuTKly//xOvUHzlyBC8vr3SXfWzSpAlKKV5++WU2bNjAqVOncHBwoGLFimnqSkIvhMgP0lMvhBCi2HNwcODu3bu52nfq1KlERkZy9OhROnXqlG4dGxsblFIEBwczZswY6tWrR+PGjWWJQSFEgZGkXgghRLHn4ODA8ePHc7zfzZs3U02uzWyi7caNG9m4cSPffPMNoaGhDBs2LFexCiFEbsjwGyGEEMVexYoVCQsLy/F+yavZJGvSpEmGdTt37sz48Yb7JsbExPD666/n+HhCCJFbktQLIYQo9hwcHHKV1G/fvt14YzUg3UmyKTk6OlK7dm26deuWZV0hhMhLMvxGCCFEsefg4EBERATx8fGULl06W/skJCSwbt06evfujaWlJVrrdCfJPm7Dhg3pTpAVQoj8JEm9EEKIYi85yQ4LC0u1xnxm5s6dy40bN+jbty9NmzbN9rHq16+fqxiFEOJJyPAbIYQQxV61atUAuHbtWrb3WbRoET179sxRQi+EEKYiSb0QQohir3r16gBcvXo1W/UjIiLYv38/3bt3z8+whBAiz0hSL4QQothzdHTEwsKCK1euZKt+YGAgAM2bN8/PsIQQIs9IUi+EEKLYMzMzo3r16ly5cgWtNd9//z3t2rXLcO36HTt2ULZsWdzc3Ao4UiGEyB2ltTZ1DCajlLIFIiIiIrC1tTV1OEIIIfJR586dKVu2LI0aNeK///0vAN7e3uzbty/VqjbXrl2jfv369O/fn9mzZ5sqXCFECRUZGUn58uUBymutI7O7n/TUCyGEKBHc3d3ZvXs3U6dO5aOPPmLXrl0cPHiQNWvWGOtorZk0aRJlypRh8uTJJoxWCCFyRpJ6IYQQJUKjRo24c+cO8fHxDB06lKeffhpPT0+WLl0KGBL6F154gR9++IFRo0ZhZ2dn4oiFECL7ZJ16IYQQJcLLL7/Md999R+fOnY1LXA4bNgw/Pz82bdqEUoo1a9bw008/MWDAABNHK4QQOSNj6mVMvRBClFhaa7p06YK/vz8AHTp0wN/fP1t3jhVCiPyQ2zH10lMvhBCixFJKsWDBAt577z3i4+OZN2+eJPRCiCJJeuqlp14IIYQQQhQSsvqNEEIIIYQQJZQk9UIIIYQQQhRxktQLIYQQQghRxElSL4QQQgghRBEnSb0QQgghhBBFnCT1QgghhBBCFHGyTj2GpYOEEEIIIYQwtdzmpSV9nfpaQIiJwxBCCCGEEOJx1bXW17JbuaT31N9N+rc6EGXKQITIRDngKnKeisJNzlNRFMh5KoqKcsD1nOxQ0pP6ZFE5uWOXEAVJKZX8o5ynotCS81QUBXKeiiIkx+enTJQVQgghhBCiiJOkXgghhBBCiCKupCf1ccDEpH+FKKzkPBVFgZynoiiQ81QUWyV69RshhBBCCCGKg5LeUy+EEEIIIUSRJ0m9EEIIIYQQRZwk9UIIIYQQQhRxktQLIYQQQghRxElSL4QQQgghRBGXo6ReKWWplPpZKXVVKRWhlPpbKeWRovxDpdRtpdRdpdRUlXTrNqVUKaXUSqXUNaWUVkpVeaxdF6XUX0qpe0l1xmURRxel1HmlVIxSao1Syv6x8g+VUleUUlFKqUCllF1u2lJKTVRKnVZKJSql+qTY/r1SKjrpEa+Uepji9/8k1Xkj6XWKTHrNLFLsX0cptVspdV8pdUQp5ZVJ+kK88gAAB2FJREFUfGZKqVlJr80/SqmROXktROGhlHJUSm1I+rsHKaV8U5S1VErtSzqHriqlemfSjrdS6lhSOzuUUjVTlJVVSi1KOvdDlVKv5PfzEsVLJu97byS9n0YppS4qpfyyaEfOU5FvMjlPLZVS85NykTtKqd+UUtaZtJNZDpDhe7YQhVFOe+pLAReBlkAFYC2wGkAp1RUYCrQA3IF/AW+m2Hcn0CuDdr9NatcRaAOMyOg/j1KqErAEGAFUAqKAr1OUjwC6JLVjC/QFYnPTFnAOeBc4kHI/rbWf1tpGa20DzAc+T/5da/25MnzR+QroCTgDtYDxKZpYCvyF4TVcAKxSSpXK4LXxA3yAekn/jlVKtc9m/KJwmQNcByoCHwArlFL2SiknYCXwGWAHeAGH02tAKWUJ/IHh71wB2Af8lqLKxKTt1YA+wFylVL18eTaiuEr3fQ+wxPB+ZA90ByYqpXzSa0DOU1EAMjpPRwAegBvgAlQGPkyvgWx8hqb7np13T0GIPKa1zvUDsAASAQcMieoHKcoGANvS2UcDVR7bdgJ4NsXv/wNGZHDMIcCfKX6vAzzA8IFjDtwAXLMZf4ZtPVbvb6BPBm18D3z62LYvgLkpfm8PXEz62Q2IACxSlF8GfDJofy/w7xS/TwIW5CR+eZj+AdhguNmJU4ptO4F+wFTgv9lspzNwJsXv1sB9oGbS7zeAFinKfwU+MfXzl0fRe2T2vpdUvhh4P4MyOU/lUSCPx89TDJ2EE1P8PgxYmcG+meUTGb5nm/o5y0MeGT2edEx9K+AfrXUY0BBDcp7sGIYe++yYA/RJumzmiuFKwN8Z1E11HK31BeARUBuoDpQFXk4aqhKUxSXizNp6Eum9Fi5KqbJJZUFa64cpyo+T9FoppV5VSh3Poi339MryMH6R91yBCK31jRTbkv+W3oBWSp1SSt1Iulyc8hLwcaXUq0m/Pv43jwEuAA2T9qlC7v8fCpEtSilzoDlwKsU2OU9FYbAQ8EkaOmOHYYTA5uTCpKGsbZJ+zewzNLP3bCEKpVwn9Uqp8sA84KOkTTZAZIoqkUnbsmMPhi8IMUAwMF9rfSKDuo8fJ+WxqgHlMXzbrgW8CExQSj2bi7aeRHqvRfL2TI+ptV6itfbMoi2bDMoeLxeFR1bn7WvAC0BdDMPcZiVX0lp7aq2XZKMdGyBBa30/nTIh8tJk4Brgn7xBzlNRSFwA7gH/AGFAAvBTcqHW2k5rvSvp16zOU/l8FUVKrpJ6pVQZDGPpN2itFyRtjsYwhj2ZbdK2rNoyBzYCPwJlMIyBe1kp9VJSefIE1OS2Hj9OymM9SPp9otb6gdb6FIZxnF1z0daTSO+1SN6e02Nm9rrmV/wi72V13v6stQ5O6tH8jKRzNoftRAPmSimrdMqEyBNJVz9fBF7SWusMqsl5KkzlOwwdhOUxzP+4A8zMoG5W56l8vooiJcdJfdKEzmUYJo+MTlF0GsPklGRepLg0m4kKQFUMY9Afaa0vYfjC8CyA/v8JqMnfjlMdRylVm/+fwBsMpBzWAqCSf8hhW08ivdciRGv9IKnMTSlVOkW5Jxm/Vpm9rvkVv8h754DyKvXKT8l/y5OP1VVk7PG/uTWGK1OntdbhwE1y9/9QiCwppf6N4epsZ631nUyqynkqTMUTQydJlNY6EsNiFO0zqJvZZ2hm79lCFEq56an/EcO49Tce66VZBAxVhuUpqwCjkrYBxmWmyiT9avxZa30buAIMVoblG6sDz5N6vGVKq4CWSqnOST09E4EVWuu4pF7O34HxScdzwzCsYWNO20qKuXRSnGZAaaVUGaVUdl6zJUBvpVSTpGFKHyW/FlrrICAI+DApxmEYLg/uyaCtRcCYpPGB9YBBGCaoZRm/KDy01tEYVouamLScXw+gEbAO+AV4UylVO2nexThgQwZN/Q3YKMPygpYYVlU6pLW+nFS+CPhYKVVOKdUS6AEsz6/nJYqfjN73lFKdMExC7JbU+ZKZv5HzVOSjTD6fDwH9lFJWSV8m3yB3+URm79lCFE45mVUL1MSwes0D/v/yVDTQNql8HIZLXeEYVvRQKfa9lLSv8ZGizBtDUhuBYVWEWYB5JnF0xTBu7j6G/3T2Kcrs/q+dO0aJGAjDAPppI17AwsbGA9jYW3gKt7G1sfA0ll7BxtbK2mobjyAKCytYWKzFDDJEEgXB3YH34C+yQ7JJdhi+CdlJWR5wWb/z4odrmjrWzfCck5wM9v+2+k39/DzlndNlPc5O03aY5KHex8ckR03bLMm82d6u92OR5DnJ1W/PX21WpSzZeld/q6ckp03bZe37rymTwrYfzpPMmu3jlD9Xv6esxnDQtO2mTPreUibLZ+u+btVXjY17Se6TfAzG/utmP/1U/VtN9NO9lId7L3U8vU2y3+z3lVnq9lQGGB2zldrE2lqtxl6JBAAAevDXJS0BAIA1E+oBAKBzQj0AAHROqAcAgM4J9QAA0DmhHgAAOifUAwBA54R6AADonFAPAACdE+oBAKBzQj0AAHTuE+kwCLHaT8eiAAAAAElFTkSuQmCC\n",
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vbJ+CF69Hg2atMDtv46gd89vEHL2d5QI4FzcOlO5F8P1OyGoXbs2noSGolChQnibkABvb2/mVTDn4VCp1Vi5YTtmjR+BjAwZqlSuzNoRCaAQLJ0ZEpCFCxdi4sSJLO+DvCdk5LkJCgrKbE/kivJAzFkWAkIubzKBgGFExOHIkSNZCEjbtm0Z8SAPD+V93ItIRBFBNMuFufgyAy1rV8hVCJZRjO47ForafzMCI3fdQi1/D/w6wAwZy0gBbBwBmqNAgMXbD2BcaE+cV5XBPY0f9qgasCrlZIEFnfDnKAuFAilk48R04OpPFr8WLTIW4KGmMG7PaAYXO4NkVpUS6jn5IIQGVzteRrWy2l3Yj/EF46/xySNg+D2gwb6TNy6bWT6PS8XxFf3hKYjHGMV3eLKg3b+HifZ7mOMAtIuTx2oftFYvxVHhKAQIs8aJN7PbgREpKzJDjGrI1uCy7VCz3ScWbw+XHpuB374F7v3G2lxUlcZFdRmMlezB/YJtUeY7EyntHAf6iTZ4chL4pQPuq4vgC3kw5os3oLv4tHWDtSYc5vRc4Nxiy8pkr64CG82Es2XXN9Vs2TsASI83HueU18DiYoA8Rf+5SAqo5Pp/k2fMTf97TN+pReIf0VnM5TqSGZHTAWcB70rW4cG3+jAIvCMBoZxce6kIEjNh03wI1oe5Vbnq9XMjICycKOoW84C8SZbh4NHjWfBYvHgxW5SbFlekUKuxY8eCFu20WF+5ciV69tTv8IwePRpEXnQEhAgMeVDos6jXr6FSqSFLT8OkOYvQo1cf/Pr9YmzbuhUvrhzJMga50A5Sz5KMOHRv3RDDhwzCj7v/xNq1a/HkyROznp4UmRJv30RBI0vBkcsPER16l4WEXblyBRs2bGA5GWQ5EZCMjAy8esXJVRYvXpzldHz55ZdmnxsjAkKJfq/vcu08K6BGrVqMZJAHx9QDQknyHTp0YPkjjRo3Qa16DdCpui879fwLOerVrokrV6+hWlXOe2RqpiFYeUFA2q+7gBsvuRydLAu30FPAdn1SvabOSFy7cxfVkk8ZDY2qlOskBfYOro3Khc14KH7vB9zdY/F7WFS2Ayu7VkS7iubjlRNnF4aLOhF/NzmAenUb5ur7zDf+fBFIkilQfuZxCKFmWk/kmWsYmB9b+lTPs0lv+X0/et/txfpbpOiCXhNWoaDzRw4DpIRykr2lRWuzudwuu0AAmv/j18moemUk8OAAQOExtYYCc/Oz8XaTT8EldRksr5GCr24PyBET+h5ulSxAA1HWcJ8EnyC49f3NKGyybsZK1BLex2LJejx0qI6S4wxCdXK82ifc4NavwP5BuKAqgx6KKfBAIlZJ1qCO6H7moKvKvkdd4V10EZ1FYWE0fARv2DF135MQFq5meXLJ0cDSEvrjE14Adib5hob5H4Y9TY8HhGY81YZ5H+8Ca7ddQGALdqZcqUaJqUfxs2Q+6onuZfY2VdEHcyWbuX+3XQNU/saqK6mj7uHNmTVw77wGIgtiLFZ1xDcyRuAdCMiLN6losPgsxEIBQue3yoIoT0A+gYcstwTkXUOwFEo1HkVzkrReznbwcMq9a9+aECy1WgXh6zuMgLxNSsb+Y2eyoEwEg5KvTfMOqCElY9OimggI5X98843+xTNq1CicOXMmk4C0atWKKT/NmjULMhs3SKU26P1lE0wd3hcj+/fA6k07seSHbZkERFOgNAQxD9h4lBohxD4VsGTBPBam9OjvfSjfohfLNZkyZYrZJyMxJRUuSY/ZsUiNB7x9OC16ChUjr8mLF1wugSEBobwPIgKWQrAo98MqArJ8ORDF5b6QqVyKIH+hYujevTvzEpmT4SVsiJwcOHwUxw4dwJBenbFk+ig8fxUJv5qtsf/kebRrXMfsXD8EAen4/UVce8FJc5oSEMXiUpCkRub4jUwUuqBC2veZ7Z7Ob2UcipXDj2Nt2Srsm9wl20Vd+PyK8JWH4VTVH9C4dbccx8Q3+G8gcPFpHMb+dBgXbYezCZeX/YQkOMCICFPICRXk864I5Mt9MbUF04Zgomh7JqDbmt9Gz1pFPx7AJ2cC55cbX6/DRqBIbcQtrYF8giSLYwmUbUEGpNx3OwdVp2iNKyYW3YPNL5qa7S/Wzh/5283lan/YuSEgYRVUEOGb/KGYkzwdL8VFUXjq7Y+Hy4e80r7vgNs7sFnZHMvF3yJJpmT0tqYwBI/VvkiDDWTQRwrQMV2i9gnv79B0QDahaJfWAX9OMj/6QjUASvLe1Nz8cUtKY6aCA62XA4dG5Q4hrXel2/p/cOnZG1ywGZZJqqgjCuVrJrqGfuKjQI1BQMuF+v6pIOXFVRwJbrMKKN4U+Lk9EMvVEWG/Ly7VUXRUHhFUCpH7ewmX61R7aO7r2+QOmbxpTZsID/YDdUcbq8m9a+/vQEDWn3mECmd6oobwIXdVk+eJJyDvejPMnEdx+LSzHxUVxeLqKWmY8hxystwSkJz6s3Q8JUOJZ7GcW9TXzQ7uDoYvtHftNet5SqUC4ph72RIQWqy3bNkSoaGhbLFuzii8qFq1aoyo6IzwTE5OziQglKtBuBNJeRiVhJevXqJ5jXIs34MIyF+XrqNR54FcCFa5yqx4VXxMBNyVMUgV2MPBKxDhzx6ieJmKWDh5OEbNXMpIhK8v5ykwtcSEOLikc54LtQYQ+nBu4WXLlmH+/PmIi4tj/6Y5DR3yHQZ/+w1UEkcULerHktCJaJia1QRkcTCXxKe1jfvPot8QziNE4VyW6oC8TpRBmBKJfds3YtzclUh69DciX8fCp0pz/Hr4DLq2Mr/Dn1cE5PyTOHy98TLOjm2IyXuu4fqLeKggROjsJsDBkcDd3Ux15cbfh1FZqSdY2T2R3xY9iVMPSTNegD2DaqFaETfg4HDAPh9w3jjB0bCfsYqBqNJuKLpVz76I2ePFjVEi9RpOBs5Ck27/jUJgefcG+Hx7IiW23if0NXb2KOtjnHIQI8BP57UEXlwEwq8AtIgn63scKFzDakCUiVFIWlYN7gJuo4hsTfFNGNqjg9V9cC8nFbBvEBfm0mhq7s7NSQ7WQm+/KBtjivJb9K/nhylflEb62nqwi+U8G7uUDdFFrBe5kGkkqJmxBqentcfAuauxx2Z2tmMMK9YTQfe4HfOtrZ3Q4GQbJMMBTjNz3rDI3eSzaU0bG29CAfcATtnr9k6uLkKXnwE/C6Gguu5iQgAnT0akspjBhkkf+TgsnTIelefkvHAeLDqA8ZJdOIo6aDkzq4c/8zpUayXkD6tgeK4uiPuaImghvAoRKUZ22gKU+Yqde/NlAr5adxFb+1ZHg11lABUnFsCMJJNJgplySUyt9jDg4mrUlK1GsGQDgkRa0qiVWSbPuh1kCLHta3QmkfumwutYKv0BKFIXaDEfOD4VkDgAj4/mOB9K6LefZZCPkuMZ2TRYUASQcZ57ZtaEvb3P9XI6V6UA5uQD7D2AkfcAc4qeuu8x3T+6j+9r70BANm/fij6h3GaN0bOildfmCcj73hTt+bt27WKLYF3CNCVUU0jOgwcPULhw9oudj0VASI6WksLJSNmngNOHcesr5DJI4kIYAXkeHoUV64zj8ClnwcfHF/Xq10daagoLtwoMDGTJ5JTLQKFIlPtBSej9+/fH999/z/I0CGMieCR9S6pXZJUqVUL+/PlZqNbtZ1FYOnsK7t+5hfkThzACQhbUcQDiEpOxbMVqUI7JretXYJcRi4aNGsHWqzRS4qMwsN+3+O3wSQQFNWIhVZbs5YOr6N1/MPp2bYfypYpD410Rj+/fwbBhw5gE78aNG9mpzAPSpyMbQ6o0P47/fZV5Vpo2bYrhw4ezsCvKZaFrTZgwAX/88QfatDFfNThThnfMQCiTYxHxOgZ7j57G8p9+Qb9uX7FnDg75shAQCk2rWKkSpPmKwEfxEtODlyE6PglXDm4GJdM7B9bHt8PGYPLoobC3s2NCACz3ghRrhCKmTBYWFsaS/m1tbaELwaK872fBWtUTK74/uvPqeiRhe+qgHM8YKB8FL8EbzJRsy2yrHnYLwlf/sDAFMmXPQxBv43JmjrS+glavlgO3f83S9wple1Di6l/qCmxnliwsuFWOQgp3V3dDuTdHcMpnMBr3D85xzHyDzxABCgmMvAHU1ysNLdlxCGMfG0iE0nddtgNFPexxtnkssLd/ViCsXayEnQO2Zn0HzFH0wLiZq62XgzaQdM0cjKMnULUv0HBC9jeK6kDs6GTVzTzrNxoNw/Rkv6xsA1Jgr/dskrJSyEGo3QPgvzoSqySr0VZ0Cb3l43BWzW3ckKfk2y1XceHhKzy07WPxug0zluK5xosdPze8Mgqv5/KybvUMQUV/kuf9wGboVdUmZ6csrwbHRM4bbnFB+vQ0cGuHPhz069+BYia5FpG3gPWcomJN5Xr8M7cLjt17jUHbrxtN6sSo+qBk7R/PPcPijuVxYPcmbJIuQaigKIrNsOAJSonVJ3/TtbdnT2T9ZNtZWOEC8Xp0FZ/Fm8rD4dF2DlRqDQIm60mOTqXrXukxKNt5Og7dicSziFgM934IuPsBpIylkmN5alN45s+PrtUKwW/SEdgiQ3+fh91gkrxdfryE5Oc3cMRmMkfQBp4DVAp88UskNFF3uM/fwWI1znCb/uLdJdsNr2lKyq39Tr/DuK06ZUkgkKJVhWyxAKj5nZn3jkG9s7wY7zsQkI3zB+NbOYVMG9jQa5xnWKMBW/u6uoIUUZ2dna2aumEjgYbigXhDjRo1WHE4WizrrFSpUmwxTfUisrOPRUDI+0FeEDKqCO7lYvdB7lyGLA028Y8YAdm6J6sEb69evTBr6VpExsZj3ZJ5OH30IAujosJ85CUgvCghnGzOnDksDIsWw1RHw9HRkeVbUDgTGRERSli/e/cufLy9MWvCcEyduwgj+3XPJCDxCYkYu+BH/HH0BEgSN8DfHwsnDESzJkGQeJdDypsoXDn1Bxp3GYSft2zC1927cp4Gj+JcQrSBJT67gQXL1+D4X5fw9EU4MhRqFClcCJ06dWJywLqcFiKd4wd2w9A+XZEicoVjQT9cu3aNkS1dIUJa8BPRooKCNLfsZHj1hQgl8HBzQZVypRgJ+qplI250nuXx/KVxcUGSMP7llx148TwMdrY2qFejEpatXAN/Jy4ZcMOOfZi2fBNiXkcxT93Z40eAuEdcfwXLQCZXIuzRPfglXoJt3SEoOoUTE5CIBHgyzzieM12uwpT9d9G0VEG0LMctFMhexaeh3qIzEEGFp7bWxfAea3UBTaqUxk9HL6HVjYGQVu8DrxZjAEpQD7agMW/mSZ6s+BY7VI3ZkYH1/VEzwAN1i+UzmwxnevqNjSNQ+dUWnHPviPrDOVLJ22eGQOhJ4NxSTknItKDdy3/0YSlF6wHP/2aT/1tV1ihOXYdIDdEuXPZZAbzk3ktGZlpQT3dQnsqFrdzZBdQbC+Wl7yFWpmaemlCmF9zubwV5WWKbLMfghgYqQjEPARp/tX5cBXFDu7CSE2CwZLRb//VeVkV89aknyFCqMaZZCQhoV1Wby5HTnW6bMQd3NAEont8BJ77Oj3pbXuNVgizT+2F6/ujdt7D3RoTRx5NalsTABgHQHTsmnYCSQs67/EJdAEWE3O71RmVLzFHq3x0PZzeHap43k+vtKZ+ArfMm5bihkNN8cjxOoT67DdSmaEFnuCAzl6Nwajbw91Ljrn2qAP0NksspXO/WdoDqogCoIf0dlydzBIVyI6btv4evKvvAP79Dlg3DpyG3ELBLKwVvkKvxJDoZpNS269BRHLXRhl6R12DiCyDtDbCiHOchI8/Nn1OAhDB2PSLSOusvOoQpkh246dIElUb9jouhceiuVX5zQDru23L1QirJfsC+sW3RcAnn3VrdrRJq+Lmj+nzjvD1DEPZKp6OyMBRo/xNQvjMjoBufG5Ay7WJ5yZ+PsP5MCB7bcvlQ1tgY+SA80BRh8yYPyOshT+FfwFhK35p+srQxJSD/tiqX6Xi+uwi4+AK2hqTD4G9L76DcgGF4TSv6i7sp2rcAACAASURBVHibjuNLeqGP2ESEqOuvgH9DYL4XkjI0cFmQzBOQ3NwH07ZyuRz29vbYs2cPU3bSGRWco2Rp3eJR9zklINN/OiMCQgtucyzQcBdaIrWBQqXO3AlLSleAdqNJlUqYkxwpvdTfpIIUCcjc7aXwdbd/n2mbPTc9Q46kuAgUFBi4K6mlmx9LfCOsklOSEZGmT2wr72u+AJ/RBYjnqlVo2qIlIyo//2yifhL7GFDof7xh48x+YNkLl8yxIODM7ZTJZemQxj+EWiOA0LsC84Ac+HUzRkxfgichd+GmijWeG2miS+ygEdlA8Fq/0yTXiJiKkqudFIU99FhSRXJi81uXz0TH1k0gF0gh9SwFCITQpMVDkxILIYVGmC4csrsbkZzHhyxG44ICApMKwxQWYGuwg0CLG6UM6UIH2MXr42LhVdEoj+SOmtPuL+vjAqFBfgl9JlNqEBYRC78LY2Cb8oolmMo1YjwT+eHmXP1zTm2H/3qT7c6RXZrUCERu1WoN/LW7ZkHCm9gsXWzV8/Z8aCSK5rNQ+TaH8JDban8cVNXCBhXnobkyuTE8HG1ylus1GdmNXfNROWQhrtg3RPXxB6waN9/o/wwB3bOUrwQw9Krx4A13GM1MK7n+DDidm5V55IyqAqp4SuAcey1r6y6/AKVMFO5M5UvNQddpK7CHW3z1lY/FRr8zENB7lMJpdIpCAY24GP7LPwAFywEVugB7BwJPuB99ja0LBDIz1ciLN8et+utx8oexTFHKnLXPmMmU536VzkUV4ROjJmVkG5EKbgMruH05TNrLCWOcHF0fxcws+AzfBdTOP58DkximgqJRiemYuu8eBj4bgupCbgOEvCQTxDsRnH8RzkXo9zhHNC6OUU1LGC3+n1WbCVtZDLzbz8+bWHfDmdLvzlMSxzDxHPT4nalWGZluUZaewKlAkWCIOaMFWMlWXLje5paZLf5Q1cI6j8k4NjKHcC7tGc9jklB0HbdRh+G3kOZYKFMd0xtx+MtmFCQCFXe8/QagvN6zFZucwTwsCzuUg6u9FFXnnjQaaTvheayUrsMju0oInHAW84+EYP05LryqjOA5DttMRpzGGVUzfjA/x2w+nSLejv7iI1BW7AXxl6vQaMlZnE4xUHrTEpC1Z0Kx+M9HRpLE65VfYID4MDDiNjSuRfAmVY584gxgUwssiCiHH1RtYQ8ZHmjDua50u4Pqgcbql7keMJ2wtCSQbKDqZlgk8506fI+TkqKAZWaUGb0rAwMM8m0NfytJdSz6Prfwf8cCzEaEm5TOJNlvYI/edQtd7g/U53/opvzl98D5FWyzkycg7/Ec6E6l0CEfHx9Wc4FChXRGOQFUS+LRI+2usvbAzJkzWdK0qWVHQHwLF8HzBDlTXilewJHlHzzV5nP45XOAk62BjKiFOT2NSUGqnHspkuxoEQ8Li7x3xESnfmXxdJLRM1hIU7tnai/4+RQ0u4OVlpaGH374Ac2bN4dI9ha//rIVs5f/lFl4L/M69CNhsngGkQYbJyBaq6pRoDQg5nJeVColRNHcD2ayUwBCbl9D334D0K5ZA0yePgsOchMCYmFCRGDuaYpCKhaipCe3+A8PD8fGdSsQvGw1nv9zCJ4F8pk9WyWyg0hXZMsavA1wI9JAErGkxFNa+JKbk40rRB4cmWC7W6+52Gul0AZitUGsLt2DqDuAhvthClV7w0WQivymhMYMATEapskLqMzE31BHeA9n1JWwont1VCjkgroLuZcheT+OSCchUBiOfao6mKjoz3JAlNDLOetc+rTb22mu+cKVmdenl9fJGVlQ6y6fjIvqspmf//5dLVQpYlzbxBqoqc2dwz+g/NUJuCmtjEqTs4ooWNsP3+7fQ4ASxvdcC8e01qW5Whq66tvjnnF5Qpf08t5GITSUvEnx7NnZoAtcRWdtDQTajLilKY7qumRL03PLdwGiHwCeZQFKoH1jvKA3bL5b1QD1u4yFZ6EAYHnpdwaQknivaErhwaxmsI+6rC8Wp+3xCQqhODiPg6kFyH5mCd86KyyIxo+S5bisLolDqpq4jpIsWtPUHs9tyd6H5iw0Jhnfbb+BdT0qo3jBrLvS8xcHY3LqAjxVe6Gx3Nhz0L6yD0Y1KQEfVzu22Ra1tC68krVqgNqLvfnmNDxuruO81m1WZo8bbdCwyuoApsYCYguCLKbepPyljBKdjS6iDSnC1rZAmF5O1nQgcrEzogc/QqFVek8xtVmnbIu/Cg3GroG1rLrnRCISFldCCWEE5N324J5dNbRfd5Gdu086HZXIy0DmXQkxXQ7h6otk9j14HJ2MGX/o1bUML0bEcEyzQKifnUWbW4MQJSkMryl30W/rVZwM4TxSLYWX8b10JW6oi6G9PPvcHXMTaSS8wULHXgm8YTP6JoKDZ2K5VBs5UuM7oCWXUH8n/C3arrmAxsLrmJjvAnrG9EAUPLCxV1V8u1VP9NtV9EbXaoXR7ad/2HmezrY4o+gBO006TjU9isZ19Gsyq4A112hZaSDJwIOnCyN65w6tO5EKNNpJRcbfqZBDwC7jMNDM3gxDrQwJiM6LW6ot5/myxlLjwDZytd8N9QxXCCkviGxsKEfMidBQbpMZ8594EM9sv2ZHmmYswmDxAXwlusCp6lEuD0kt8x4Qa+5E9m10BOTixYuoVUv/8pg3bx7bqX/4UJ84TD3l1gPy9OkzKB3yQaB9EOgFTzGZ9B9ZGW8Xq3Z4ST5RrqRlnwo2tnYg4pIbozobdEVbifkCcmkJ0bBPt5wUqHTyhTg5PMsl5QUqmP3RIkleyou4ceMGMmTpCAwoiskjB6LjtyZJwbQzQcXjtKaWOkJIiwOBkMtpINMmPdGfRJTUkbdZkt20db9hwcJFqF+jEg5sXg5Hh9x5hSiZ8o1DAPthJCP1Lg8XR8wdPxid2phXd9GNUyMUQ0DEyJzMoQlKsoh7rHAX/TinQh9yUVrwgqs4TOZZDhCKoU5LgPDtc6Me0sUusMvvx+FASh5v9ZW/LT0Dph4Qw3bJsEeaRoqk5itRrFY77J3RDh2E3I/uN75/4u9QrecJQBfRGSyU/MR2TBvKliIWxh6vn3pWRf9t1+COJMTDOVd1Fei8qJBLKCaIxH51XXb9LlULYUGHcu8VlvH47E6UODsQ94WBKDP9Sm6+Jnzb90WAQoGE4vfazdaF/tFQqF7MuGoiNDmZVQYyc6hdtgO0uDwwBKBcI519sRSaS2uR/iYC9toK3a9t/eE5UeuRfHEJ2NwCbzUOSBDnh59K+70jT0WHDcAGLgQwO5N3+w3SX7mCe/MV3TB+9jp93PrOHsDDQzl1Yfa4Lp6fDtqIhXC2kyAuOR1h2kWBpU7J83FDYyDbaqYh5W6M3HkT+2/p3/edqvhicacK7zRWOmnEjmtQ3DvA6nxUKRmAUw/1CcR/DK0DI0/525dcKJGBRQX2gtcjbfFYIpkOHpbHcnYBcFYbGk3e44F/AbSzTEpHVM1bV6PCYBEndyqMyQmtsUS8zny/dUdx+UI6YiN1ROKwxxj9232cehSDs9LRKCok4QygTcZcHLQxFgdYo2yH0LKjsKKrdfUu6Hfsr1mN0RDXEV57LqIDv0aH7zkCotvQ2a1sAN8ea9B9qzFZswTMrelNmUfk0uULqHW0FVJhD4eZUSz/jxLFV3mfxNOYJAwSH8IJcUP0T8learlqETfMbFsGrVefZ7+Rp8Y0wJbTd9DvYiP2uzW04M9YE20Qmjs5EpDq1yW1g08hMlGGOsU8cMHgN8XS+EmlM2ROC8TMK4MCinAcqrwBrdtynp8DtyKQkCpH7zrajbpcPKnqBUUgNExCz6W4RC4uZdR07J7boNpZtInSq3ZRlhvDks8t2agH3PuC1j5HxppvlVM+iKmKJBWNpHXDbIPNvDojgQsrwDZ6R2aV0KYLj548ActIQABAA7vf0Ct5A/qKj0FdZxSEFziVPZ6AvOuTYXBebkOwTC+ZUw5IyONQCJ0LZBIQOp9CZuIiw1gojsbOHWqXQhCRMkc2Rq5ur1SODL0UF0HhAtbtDtOLLj5VDorpIzNLeMx5IazENsWdfkg0eBbHhVCRNyHLLpqh58SzvH7RTgnTUVxYFFWuvq8pyoUTGRAOc8OQR96FFEqkuwRAmZ4EJyu9Hub6irAJgI8H5wFh1ba13gcrpw84eVncReA61Xt4qHJ3gJcHI5yUMxIe8Qq+Ak55KztLdQqAg5NBiJaJJ0p37kN1IX0ctsIFryMjsebMY7RP/43bvTCxV/BEyoArKLVeL7TQJGMRQjV6FTHdjyEt0ipm6AUJns1vlRk6+CAyCQO3X8OhofXgYp+zN083DJlChZLT9KIBN6c1hVseVI6OuHkcPgc64Sl8EDCTk23m7SMgkPACWKkt6DkpnPNivoO1Wvk3HkTp5WLXS5aimcg4qTenbjV2Hoge9AB3IxIZQabYd1vIcWFOF/0mjCwJWKANg9F2uL7crxjQQUt2ciAQhnH39A4kVTdTeeqMWQVho5Hph0vVpie+BJ4cB3abz6tK0tihfIb53CV/QSRO2xgvTl5r3NiimCSFdWINdMGpX5TC3MMGIZyUBzM+CIW04buUo/DzP9xmxp2ZzeBshSfeEu43XiawHXxS0aJdeAr5WXbiMRZ1LI/OVY0xpj5kc7xhqzIIuzXsuO+fQGEzhU51bbIL5SQvMRW+U8iAeQUzey0vW882UUxz2bYqm6KXWKtaRQnmoSehsXHCprrnMMcAu9rCe9ghnW/xsRsuH4q6Xw1C52pZ52rppGNLeqNFyj488OuF6yVGY9qB+3BGCu7YcsSgsuwHtqljjd2Y1pTzFJJn/GU4im0qw/7WTI6E3/QzOCCdxqrb60xRZwyKn+JqSA0NKoY1Z7QeFwDTW5dGveL5zHq6kmUKPJ1fAxWFTzFaPgizJFvhJODWFqbJ/Iv/fIi1Z55aM3zWRpdX9GJJAxRJuYV9AXPRqttgBE7V/0YcHl6XrWFyY/JZ+SHVyNlGg6sgFaAQvOJmCjfmplMr2gZOPcpytNZ2r4wvynsBj44Bv3bRn0lJ+xTylxvLrqYKERzy/hLB19k3+7VCCrv1n4ntAKXBPXt1BdjYFPAPAnrux+1Xb3Hzx/7oLeZqwGVMjceqGYMwTrIbacXbwv4Jp8rGE5Dc3Lhs2lISepUqVThFIq2VLl0a7dq1e+8k9LsPn0DqWhCFJElMnjFMXRA+rjaQJukfklBRAEu2ynbhbRCa80bgDg8vy7GRVPE7JUMFZ1sx3qYp8CohLXNe/vkd4WhjXA1dHhsKqUIvHZkbWOOdSyEyMYNV69aZEckxLL5HL0Q3fwjstC8Q2rXSqkGEa/KhYEEfSCyEABiOSRYVAluNDKkOhaCWp8NJkXURT5KEuh2r7OaTrLGDo3cgIwQqRQZEsfoFa5JLICLfZrAFhJ9Q76XJ0l/+khZjKuVJsZCmcJ6jdI8ysLPRhwtExCXCR25G+tDgAokaBzh5FTfOEyLiRqEm2mq18RonxGhcIYcY+Vg4lgCxClvERIYj3cYd3h7OmHckBKMbFka93fowJ7rM7jLfo/N9vQrHUPkwHFJznsDb37rD5RdOPnOhoiu+V7U1WsDk5jmx1HbfzXDci0jCxJYlrUowt+aayWHX4LS1MaI07nCbGmq9ApE1nfNtLCNgujCkRNVynbgduMQI4PgUrvBdwbJckTxaZFINAAOjPLniU4xlOs0Wu6s/Hji3yOJYOmTMwHVNoNHx3QNrobqfycaNyZgN8yMezmoC2zMzmfw3jk006qu0bBPSDLyZdHBKq1LoX9/fqF1oTAq+WnYU6WzLRMwICm0GHbkThY6BYjje2ogTLh3wNi4a3a91xE11MXSQz0Qpb1csaF8ebdaczzJH3aYAHUjuuh/lttBCXmDUTkeESGCC3v+UFDwkqBgqFDL2YNJxEqagfI73NcpRpN8cS4Ichv2Hr20N31hOHMDU1G1WQ1jFIGncsEGOMsMCYOZbyKMfQ/o9V+CvuGwbFNqQUSkUmYnRX8snMZW9G7bG6n6HVDUwVMElluvsr3ENkbayJkppw2Z1n1NCf1nhc+xQNcKVyU1QIBdFJ09smY2mz5finnN9TJSMZ+/BYS4XMCZjLVIciqDsG70ADuHK1RcBCjrb4OiI+pmEwxS/tAwFMN+Hef0edTyNmTtO4VfpPONmJupL9EwO3n4d676ukhkRYOl5iD8wGe431+I3VX24IBVNaXPgi6WcqIKBHb4ThSE7bmTp5puaRdCirCd6aBPjqUE+RymuTmnCnp2nazsiIPYEdrgPhkvD4UZ9/PB1FbRIPcAl4Pc/BXiZ8do9/hPY0Rnod5qrwD6bk0+mkOViwkgjeeL3feYtnU/fq1LTOeKUmVv1Q119IeIWC7mw8kPvIBNvzguSGA4s50hnrmxShLE4zMSXKDnvIh6KurJuwiqOhd+X0zA3eCamZhjXF+IJSK6QttxYJ8NLOQsUhrV+/XpW3O7+/fsoUiT7JKicPCC3HjyGj4cDIyCWLFVjA7lbMbjaSbK8vFnIkQYQEWPVqhxFCQrAyyurohCFWdlIRCAljXSFNoHN5KJZJHwNvBDUVF2wHFRJr1nCtVSXBGfQR4qdDxxd80MddZvlMtCuOy18yWygYP8RwdDlqGgUaRDEGufRsIRLkTgzp4Tm/1Tjbeymz+bepr4OhYM6GUnSgoBaAWdlvFHrFLEbHPIXwb2IRJbDQLse3trKs+yFlPoGSOQIIIVhpbmWYC9zhSwNknhurCqPEhDZcO5kugf3I95CAwEE0MBDkAQvgfE1Wb9mLC3iPuwFnHKVyrOCkaeLXlJ2ceZdoGFqT9gK5BA55kMBF8vhdolpcryI1xNM3RDy2QmRGBORKcOr+3zR7NH4RrUPcXBFOcEz/UtZ22Clsj2WKztiWzMB6p/TF/ErJduEL6sXR3B77Q53Hn33PkQ3mjdPIVhdGSkaWySOep7jD+qHGMMn3efFNdyPX3UzsrPvOnCl3LIKE/1g7h/CKQaZmomn5J9nb9B1PRdG9c+kxqgZfArnbYYzT2EP+SQEVGmG2R20OR5rqgFxWilVXb/+DTFeNA677xonb/esVQSz2xmTbzpF/ks3SJ9wEqWJGntUyNiQOcKSnk76pGJSPFKkYfmGjTgTIWIqUqYWOq+l2YW8Tso6N9DqCnQqVWomPhISlYxaAZz39MSB7Wh6cwiUhWpD/O1RjNh5EwcMwqkIN3rPf8oW9ttU+N3T14gyHGtCxe/g9qVJcT7aKV5oRUFH1yJQD7+N8dMmYInkRzxW+6CZ3LyAxrBGxRAWl4o1j4OMoGqQsQwvNPrYeAo/ujBRq1hokE+gK9xIJ3u72OLipJxD9gwvdOXkb6h+nlOkomv6CV5ji5Qj1RnluiHwql7W2dBzZc19vTe9AiNG38lHsNymLGpGo+5zykvvYiRP/PNXiNS4w1v3O2jGq0DKnY2W6vNp9g2ujUqF9bVUSCnsyN0oXA57g7YVfNjzTXZlXX9Uj9mN75VtsFDJ/QaRB9NNkIL2QbUw+mJ1btRuRVlCexYzJKmTo5hiE9k/6lKsOKS6zSoIq1ivzpXZPxX4pBpBTWZytU0KmVSwp6r1VF/FtTBCopLQciVHsDO9orpx2boCE54DskREL6iADI0EhYXW5a6yDs0RkGOTgH8shBdmd4+r9Aau6+uMyEq0xY4HchZuRXa9w0VUKVcGE9dsw4K4YUY9FU1cjxcruvIqWO/yHTI9h7wfixYtYoUIy5Yti+XLlzNZ2ZwsJwJy+cZt1PCVwFZsvENl2q9O0cgwVpbcnfSCJCvprIQ0hUs6jBbkQ0EvvauXVEooBCpNrkQRD3u8eJN1Qaq7nmkCuyzlLWyTOCm/aGlhFMzHvQRo5476o8W2j27xDiDFvQwcbaVQRN6FBEq2gKVKr2UELyDS5jO80TjBxcsfYqEQ6piHEOrcfYaTtnMH0rlF/BO1N5ydXbKtbm14anLMczgpE5ChESNd6AhXjbFql8arIiNycqUKsSlySEVCtsNiuDMnj3kCqTKFEZDHGl9GfjLSkmDz9ikjVFJv4xhlw+vTi/PZ6/jMcCc6pnbzh1LiiMR0JSMztFAg/OzjDOJ3TUgKEZs3kc+yVCdO10iB/JxXxlLOjm481AeFmZAR6XudSK5VAQq5iPHi+fMsBER33q2TO1Hx/MCsj3fJ1sCjo5mJ7roGFG5ye0YzJoDwyRsRzMXcTvTdvk9RrnA2cbef/GTyeIApMcASbYVvUmCq0A1wLPD+F4l7Aqypar4fkr2kWgnmwhvLdQbar8/MGVl47CF+OPsEwUVvo6tnFF5WHInCW7h+STb0yzrlMaONdqePvK5bvuDypyh+/+EhKEq2Q/E5XCy9zjpU9sXSzhbyG0IOAru4ZMsQdWG0lBsvfCmMqV89f2w6H4af/n6GqESDcCoAf46sj0DP7EPN6DtKdRRyY6ahXDmd22LFOUQkpOPWjGZW5RTm1N+HPq64/jMkB4eyyxxU1UQbkT5356l7fQQMNxGzODIeuPJj5rCMQqcMBqsR2SJEURClhfo8OXp3VSniht8G1cK+mxFMUpiENsY1L8nUJRsuPo2LNsPZptJLdX7Ul69k95XyLM0m5VMIbP6SWHDyBX74iwsxoty1hR1ztzkTHvUavj8ae+kyp1JzCE4UHoExu29hfIuS+Lpm7tSgnk4viQBhFC6qSrO8w6aiG9x3neotiW0BEiLJIdTZ4jMgTwMWFtGruVFDM8pSpvVHDMN2s3u+7uycgfIPV+B3VT2MUZB3Xl85vo5sJS7Yar1TFM49yIwXzZCA0LgWcXkj5NlqLbqM1KA5cGhgUmDPdEBmwjOzjJk2T0hSe6NJONf4MJx8rkC/bddQsqAj1Go1kmNf4ZItt4Df4L8S/Xr2Zn8HTPyDbWr+Jp2JigYhcnSMohoK6BRJdfeODhjINuvGpFlbEwKDSvIUUWJNeHdO3/PXo6LZZsawrRewOkyfh3dcVQX9Ur7DqxWdeQKSE4gf8riOgHzz/WlMb18NxQroa0/8fuUZCiqjUdXXxjwBcSsKxdsIRKrckQgugZqSLsmL8SYlA1R8sJyQIweGFgc35PM22A3SaBAb9RJpajHSxU7wUkXBRZCGULUXCxOgnbw0uQov49PgYCNGQH79GFMiH8IR6Sw+0sW7uNEinYjNvchE5mYlXXcKB3LwLMZ2+dSxjyBUpDHNd/IMmIY7RQq9IRPawV+ZcwzoI2EAArVKVNbcq8TYcLgouB0DpUaoT+QmgiR0hqNn1t1J0341MQ8h0BIjIn/l8wmBeIOxWvBoZH7hNRpEJqTCR8Yp4uhyWHTHy3q74EHkW7YLxY4bKl0ZDOZlXDIKy7n4W9qxf6bxYqFIpbysi/01nRcLhdMAcnmGUSHCLO3SkyBcaF288s8lVqN20/ZGz4019+lfa6NWQz47Pwt6udLuL1SvpK9+/a+N6VO58NGJwGV9vSOIpMC0XOy+WZiH6tFxiH7txAi9qPdBSLZyoXvMaJdyZTYJzk1mAXVHIjVDiTIz/sQe6UxUE2o9G7RbqE0gpYVks9IFsb5nVbZzSjkGq7pWQmlv7rtC76sawadACkNkjUoWYEXUmpUxr/TCGhkUkjOn4GTptpUo6Ijjo7R1HKy4t7nxgrxvPoYVw/n3m+jkSN39UTRyLgRQo7HwJjZIlyLaqTQKjjGuySI/swjSv7gwIlLjG6UYjPM2I7hFVqWvERxdHZMisy4qSfWLpLjzO9qYDQ3Tk0MNKgieMmn2VpX8sLxLzu8MipVvt5bLrbPkYcsOaLr2ldn1UUNjxgtO3xna4X9Hu76qO6rEHwYV9EvQODG1LZb74FQQoM0/F+trMpkdwp4+wP29+kMWkqMrzj7OwsAz8yCsmE/q5W1wODoM51Tl0FMxCcUF4ThhM56duUvZEF3EXN0S0GZZV5NCefS5kYQt9+4hLwMRmu7i04ivPhburaZlP5IfG2RV57Ri7KxJ6XZA521Ij4+E3apS7COaS30RtxlJ77Ed/WqgdrF8mQWCXZGMW7bGG4LkvaMaOj/WeovoKmPht15bS6jnH4C/8bsndWFpOKRH4IKqDHoopmCmeEtmDoe1wzbbTntfSao7+A4nFEP2qzIIE1J78ATkvcDNg5N1BKTQyN3oG1SaqUbo7MLDKIgSnqKij70ZAiJg8YuvkzIQk6zfVfN2tYOHgxSx2iR1c0NMgDPcvLlFtiwlATZJzzMjgA2LQNFxtVdFlluSmC5nnhEHqRgBWpJEuSIibW2MJPvCcHbNqjzyPC4VSTIFRFBDDSHK6ep+xIexhUGkxoN5QsxJwRqOnQoLUZiVKaG6py6KEixx3bw6l7n5J8VHw1lmXrEr1aYAHDyseLmSTF0i51Eij42HwCQHJgcCohtXSkQIHAXc/aMaH3EaFyi1EpguSEMRrXIKq+FhZseJvCTkbaLFsq2tneUaGrl8Vk0roZs7/e2iCnBN0yr/fPUjsM+MR4QUjabrVbFyOYx/rXn4jAC2ONlWZiN6duJUingz+XHWAdL/DOCTg3RtDuBd3r0INR7MA+2MDVCMwfPZQZmhD2yhoFODarXEvMJLx01Yefg6HiaKmUyoqWkEQvilcyFcYcGtjDwK+4fUQQEnG9ReYFAkzjD0IbuxG6jG7FQ2xEQllwBMNStWnrIst3tkeL1M4mPtc0VStuefxLGFR4mCTux7T/USBtT3Z5tEpBRUztfl/8PLaO2ks2v39hUgscf1OAE6fH8J9WxC8bNgOkgco9BM47Ddp0uCEJByI0uYnK57UuEzzeWgY/FjouDulL064pWweObhuh+ViI6VC2FEE62H0Io56oglJW73rZt7haZ7z6NRdouJapkVheJyGlpa6HnYb+fqKWXa2Cd54+2kDkmW+nutauiYRxaFWOJSMthzXtM/G1Uzk8loQk9DsP0rFt7dWj4Pobbm84FkRRvBtve+naKx6QAAIABJREFUrFAsLg6kalXYCtUAXl1mbXR1SF6X7Q/PjkuyhzDHXKMc7gAt3P9eBpzKWrKBCMi45oHse0+J6lpBVDyz6aGXygVwTV0CHeUz0a+uHzacD9PXVOm+B6/y1WVFgsmeTKsNyWKOrJaTbQCpXNpAjke2nJfFGiPFtc5iY/lp+aB/uBpoAEhQoOb5bzMLua5VtsXC1LY8AbEG3A/ZxpCACG3ssbl3NQSV5EIa2CLw/nX45beDrZMHYO+h15AXiACv8qDCd/HRr6DUCBCrcWFKJEUdFJkVTs2NndROnL1LsNwEgWkNDdMTtEUEqfDh8zeprPAheWnuRyZCqpahuDCSfQEE3hUgIPk3M0YV2BVKNWylIpBUHjNavKfGsTAoqUDJESDXwlALpRDG6xU16OMEjSMr3udiL8XT8NfMNUwysKEan8zx5OYeJSfGwynVvBSt0r0ExLZWSBRTKIqhNrjpAKwgIFQTZv++fbh1VB9DSd28VBfAWzgw96mnQKtykU1/tHNLNV5IHMCaBE5rsLKGgODVVWg2NYOg0VSg3piscfo5Sf5ZM5B/qU3iDC/mBdxSaB56f8uFevznjSScteEIWbCYFscV/3wHo/fQj9O+wSDxQWxStsBsZU+EzG4Bu5Ul9QsBbb9jih1GeT8fhL9JRutiElTY25AV3czJlBW/QbF/9IXfcmo/sklxjGySvRytro8Ryzej+puDmKfsgdFfVEI5HxfU8PcAbb7oqkQbXq99JR8ss2KHPKcx8seNEdj6x5/odaMz88Y7TA/Xi1KQvPJNjnxSwb/hCuNYdPqcPCiGEsXhZQbCt/28d36mrb03Jx5E4/KzNxjXIhA2udhEM+r/9T3ghzr6j/LivWuiAsY6z4t+DQcedo5TeTTZjbcWO4vttOSG1g3DFMOwXapPxjc8J9SmNIpNMvaUsePBhYGMrAU816IzhmA3wv27wrenPpzP7DhyQ0D86gNf7wPCznJFL2kdRbknR8cBN7YZdb9a+SWWKjvj3LggVgDZMDyT8lyGiA9gsJhTmSIzVNrbLpmHuqL7rDBliV2OkKs4Cf/DXdxQ5kBLxGscUTljfea5VP/nnM0os9Mj1bbz6rI43d0FX+yIQQTyY454E74Rc0UtQwa+MorC2HIhDM7HhqK9iBPFmK7ohS1p9XgC8t4P+3t2YEpAqDtd/K7s1R2EhUfBzyc/bKmOA8mukcufYmQcCnBuUIO6DhlSNwhdfSGJyV73m5SbqJAWhe+UMYh1tTiVgmWRmi5j6isCqR2KF3CCIuJOZqVVCpuw9TFO0OzduzcrxBgcHIyJE/UKMPv372cV4zX0kjBdOOjUoAxkYlMFDhDl84ethEtUJ+lVKqZERrt+1ng+zpw5g9mzZ+P27duM1Hl7e6NOpVLYuHQ6xGIxzl68hqBOA5Dw4C84FasBkcSGfbE3bNiATZs2MTEBisMkQYEmTZpg2LBhKObtbraexvNXkfCrqa987OjoiMKFC6Nhw4YYOXIkihfX746lpKQgQyaDhzxrQTAK6yoleMlhLLbFzHW7QNjdukX3/8ObVQTE3DAOjQaubQR6HQL86n34gX6oK2h/QELcglBqxP4PdZV/pV96tivMOs5UcR7OaZFjnpBukJpdPSEI0VeGT/NrBvswTmoRXXdwOvWBrfSF3Si+eV0N7ji9u8Y9NVv35tCdSIj39EQL0VXMUnyDzaqWrPDciIc9MoUzqIuTqkropxhnhFnoIHeItxiEa+mOkqJO7WHAiRmAd0Wg1jAUncJVCM/JFrQvh05VSdo8+7w7XT8kIbvi5BNM+6KUWelRapehVLFk8AJOn3Zyd07YfMrH9567gfang0BFYuNGRaCAqwNXI2qpPk+CCMjLoNVscWRY0I7mZagOFjMm+v/rXukWvBNfAbbvFn6b5d6aLqLzmoB8qIfJYKPkijoQ1YUmIjba64aLCsF3mrZYceZLTgP1LDcmkGNqSwS9MFazFY8LNEeJwQaytObmYYLdlxmzsd9mOteScHxyEqB3aeMZgAOXYyijQtHBPkyhE1TYcu8AIEJfdJHakHDBw+AvjTYarz6PR6cfOCJVS3g/U7HshKoK+ivGZI5unWQFWomuAK2WoMQB30wCsqZaHFrfHc4U3VrJg5nq1sTf7+LaiwSu/otkLadUBqBxxmIkahwRB06JVFfHS3eRUoIXiNDkw+3gTkZjPPMwBqHbR6C/mMtlGygfhaPpZXgC8qG+A9b2a5GApMVDtq4+wuos5QiId1nuh512DKiSKxXsoZAc+ttQySVfoNGPtrlxkGoUhT4VEsSyAndmzSDJ2/B4qMgfAQWcjTwncqEdpJ4ljbohAkLqYLa2tnj27Bnc3Dj1ikwCQu7zVJPYcW2YESloCd6+gMbZB4L3THAl8kASycOHD0fPnj1hZ2eHx48e4vftG7Bu/iRIpRIjAuISWIftQHTv3p2NdfLkyWjatCkKFCjAciJOnDiB169fY8vmzWZjPI++EKFV7Qo4efIkypQpA6rofvfuXaxcuRL//PMPDh48iMaNLaidkFJLAhfSRDU/qHo4Mzs3zFy55f+DgFj74H/i7RIWlodb+gtccWmJ6qN2fuKjzd3w/rj1CiX2tmQV6XdV2IzZHTg9/5zs2fRA+GvlpHU7a0/dhkGUbhBiJ3EAxoUCz88DO7giYEY24QVgZyzlGnwkBCMv14edQA7DivbPp1QxWjyWl/3EalUYmi7Je8qc2QiSn0Zt2+ewFyiBUfeyXIfU/ZouP5ftNKmmwdjmFhJ7cwKIP/6vInD2QQQa7uaqx0d1+RNe6ijIJK6w3fFl5ri+9jqE7QO5jRHTvJotkoVoKLoNEvGwnRmTZ97kfxWU97k4rTUeHQFIlrb1CiCHWmPvc6k8PVejgXJ2fog1FtY22oslidzhPM0kR1ZbXNR0PIsVnRELFyyS/MQ2QprM0eaRWBh4xox8sBEoMFnxLV5oCuCCmhOlqeXvwQQtvFxsszxfk/fdRf+bHeBHYde9DwO/dAYUBrVuJPbAlCizV9Q9y+QFuW/LKaMtU3TEKlX7zPbB4p/QTXwGaDQV6rpjEbT0LAurnyz+BQPEh3FWVQHFx/zJVB9rBZ/KFMxYJlmX6bkwrl1k+a6ZimCQotnvK0axWiBkpEi4dvx3cHNz5ZPQ8/Thz2VnpgSE9LrvTKkPzPOEzLGQnoAUzibG2qAeBqROgNwgH4HJxsYCAhFUGWkQpccyDmOaThBtG4ACjiIIiMxQsav8gUD8s8xaEbppvRL6IEMtRDHod+0Vrv6Q2BsX9yEC8ubNG4SGhrKK5qQQRpZJQNRURJDbzb949TYmBq/C1dshrJo4eUiC58+Hg6MjVq9ezWSNaRFveP6aNWswZMgQ9lnz5s1RuXJlszVXVqxYwRb/RB4MLSPyHpP8JTP0gLiWqo+dO3eiW7duOHDgANq2bZvljrLQNQKQpENj7mcel2tEiFQ4M+WomzdvomJFfSIieVCIeNA4nj59CpFIBBaCZeDVOHv2LMaPGor7j55CIpGgTAl/7Fg7D2fuhKNPf2Ot+c2bN4Mw/lD2zh6QDzWgj9zvjV3zUDlkEa7a10e18SaKOh95LHl9uX2bF+OrF3P13Vqxs/k0NgVRq5oxF/4SRSesUX3Fzjd0u1s9TpMY9caT1uOUDefZmBKwF7/c50KqZrQpjeZlPEF5bdklYVOlbyrYRZapmW9hMJQzsfhPbkeUpFHraPM+7s9qzgpoVS3qbl65yOrJ8Q3/LQTuhL+F308l9YXtSCbZrgCk6Vw8f1HZL+hTxy9TBa3P5is484jbBNvQsyrGbDuLNqJL+F1dHyHB+oXbvzUf/rrvjkD83BJwV3KV5y2ZQiCBZIZBDTAD9UPTc6gWzNeudzFDthj3JOVQdkrW+jqZ5xhULK8gW49E6EV7DPttXLIAE8TQeVr9Jh3GQ2lP2NAGSomWwOOj3FqMpHnJpI7A5Aiz0zl2LwqDtnM1U3SevL7ysTit1q8b/6pwCkUebeQ8w01m4a+l3fH3Ww8UFbzG1+JTuCKugupTuTy45svP4ZE20qSr6DQWSDh58ZwISH4nG1yc2ChLTS5S/vx9ZnuOAAEY5bUNs7oFwcXFhScg7/6Yv/+ZpgTk2Mh6CLy9EIJLa/QEpHhJ2ObLQUbvzTOzcYuG9SUU6SmQJJhJjHTy5CpymzOqipmm3+FkEr4a/ZeW1bbwLAtQsrGB0eL47du36NWrF/MmPHnyBL6+vnoCQiwo8ibuhjxB7XZ9MGfmdHzRrj1iY2MxdOhQVKhQAbTIJuJBf8fExDByMmrUKGzfvh1BQUHYvXs3lEol867s2bMHLVpkDcUgMkFjOX78uJEssiryFkRaN6uOgMQ9OAePUvVYAclHjx7h4UOucnx2lhH7DDYKLl40zTkAMXHxZgkIHdeRr8uXL6N69epGBITmQfPr/3UnDOreBnKFAldu3kdQnarIXzYI06ZNw7Fjx5hnhYy+uOTN+VD2Xycgt/7cioqXhuOROBCBU698KJg/er9EnldN64sRYr0CDSVoC2ZkX1G37MQ9uGfLFQprmRGMEA33PhKTlLaFJE86vtepO+4ofDFTZlD0zySZdfKU0Zgv4Sp3J46LRYU52srSWnS29q2OXpu4e7D+myoY8LPlqubWyM9SOJREKDQuzvnR7wR/wbxGgJ7tsBklM710pv138jyKnQNqGYXWUWK/Xz5H9pmO5Has4oslnbJRXcvrgfP95TkCsrmFYKvU105TNZoB0emsCd2YEg1ItGGRF1YBJ8yrWxWT/4qllWLR7v5wRNiWgM/Eq5bHHBcKrOG8yt83uIIi+Zwx+JesBRXpuO5Zo3cSVWw3DAOk4xqvChBEGdQqsbBZRPV+imkLsPoLIhEoeIXzkjpIzuCKT35Z0RsrvE8Cp+cClXuC1VKjHBMDk7deC2lVTlKcvhdNlnHeYiHU+Fp0ApfVpfBIU9jivHN6966Y2gcjtb87o0v/hZkt/HkCkudPfi471BGQiTv/wReVA1C3eD5gcTHmtcj0gFSoA1t7LYumhbvCTJ2OlFgg2UDZSSjhKvDa6Nm3IiMdkniTwls0XpfCgL2+wE+WKRCjj3nAchFSYJep2sTaUVViM8mnOgJCi24qzkiV4Tdu3GhMQJIi0bPvANjZ2uDH7b9nXvb8+fNo0KABUlNTYWNjw8KfqMhjhw4dUKlSJXTp0oXVWYmOjsalS5cYsUhISADlW5gaJen369cPW7ZsgaenJ2rWrMk8ET2aVoKbVt1ER0Di42Lh5pEPpUqVQokSJZgHRGeUv0E5IWSurq4ID+fCo1ITXsMhnXOLyt0DEfk6xiIBIUJDfVNoWufOnY0ISHx8PDw8PHD2z0NoUNbbeBrelbJ4S3L5mOW6+X+dgDy4fBylj3ZCuMALvjNyJqK5BvgjnxAeHYd/1vTBX6ryWC1dk/XqU2O44oIWbOjkqVgj5Qq/vRz8EmP3PsCV51wdnrnijWwHzZzpdsw88Qb/aHXs0ecYUIRTwIlOkmHhghlYJv0B8XZ+cJ9wK1tvx6O5LViyLi02T4XEMK18spr+7tjRryZPKj7yc/WpXe7ctLqZcqWGY4vSuMNrVlZJesM2j14nY+P5Z0x8gLxuvP0fI2CSg6Hp8RsEv5hRMzRU4DKpFWM4e3qPraqdgbY3+iBW4oP8Ux5YBEfz7CwE29qx4+EjouDrZs82UP56bF6unIqGtlt7nlWyHyvehaFi/bpDky8QgsAWwIWVQL9TgK+FWkkAfrsejqn770Km4LzBlQq74uZLrsbZqm6V0FZ+BDg8BqCkd8rBTTPw/lCjUQ+M5JV/vx6OMXvMFGoEcHNaU1Qy2CgiFcErU0zqmZgg9O2GvzHt5bf4Q10LaXUmYXAdb56A/NtfMbOFCOd6Asp0joA0+xl+JUqxXApmlPMx32SB+rEm0ecoIDF5MVtQZzIkIOfOnUOjRo1w584dPH78mEtCZ/Um1CxPIvTpMxZypDM6RrkTDx48YAt2Ih6UOD5nzhxGRsgbUqxYMfz999+M0NB/5FXIziIiInD69GmWh7F3716IhQJcObQFXgXz60OwEhIYuaBrBgYGsn51Rp6ZxMREdu78+fOZd4cs7W0M7NM4t6gyf2mER0RZJCAhISGMiJHnplOnTllIRZ8+ffDrr7+iab3qaFKvBjq3aQqvsvXZDo1puNaHvuX/dQLy8sFlFN7dDLFwRf6Z5hXTPvQ9yMv+Dy4dgDbJu3LuctobLlHcIEaTZLRD5tdFDaGWiGl34e5FJKL1ai4UYZx4J4YYqK/QZ7qkRt1Ft0mC2eLwf+ydBXRURxfH/7txoliAhGDB3V2LSynSDygUK66lSHHXFilQihSH4u5QvDgUhxA8eLCQEEJk7Tv3vdVkk93NbtKQvXMOB9idmTfvN2/nzX/m3jufG89Dhkqi+eDRO69x8a/xGOm0AaBDBVsvFc4wKjdF3OnTTxTl7dbEhgaffYiKE17s35T2Y5t9072b7nOsH9MC7dVmHvo3+33cSPw1TRcMJd2DsPcbJAHwSM9Po885XdhfQPDzIZ8z9L0A+BYWrDHwZ22BGgUxiIWT+L06kQBZUEeKZufa4YNDFmQcm/j5ZFFXt8N9V1chDG7xseeFIB/Hgl/jh1WGDuXGuih+NDb4lQV6imZL5qS/b4ca7BAfHVILZJrYorQ/JPcPG/fL01Qcb3eF5mGtFp3VihjKRodBUpJKJaCDIskBnsJQ960dKJzvllT6adM14SBPShR2+tuSmVmAmNOpKZnHqABRq3dBgDRah7z5C33RAoT4NW3aVBAZJEy0AgQQJvvk5E1O4vETRY9ydnbW+oHQxJ+iWV26dAmtWrVCgwYNsGPHDsHX4pdffjG7m2i3hHY4+nbvggnD+uL4hRuo26SFsItCAoT8PkgoGTPBop0U2g3RCJCo8DdwVwsQVfaSePL0WaIChMQLiSlqf/ny5Y2KCvIdObh/H/bs2IKbwQ9w+MhRYdeGBYjZ3WuTjB+eByPjskrC4Y6u416ZHFxtclG9SmhwH7DhCnrVDESpAEOn7eRc68mk4sitNIy29mehZeh5VzSrMkj+5YEeuh2NyXuDMPZfdcz+4t8C34rmUpRoB6PSNF3emtLrWOMs/harxPyOryqVwboLT4X/T3Rcic6Oh/GkSC/kbiuaZK0+GwLJ/qHo5HgYqD4YqDde+Dz+Kcj02b6B1VHMz9DXLDksuEz6JbBr/iB8E7YywQ0uq7AX3Zt+wVH50m+Xpcyd7egtntquSXonmtNHdGJ9LulboNthIKAisLYV8FAcx9rEjkUoMmlD0HaJG4YTyjL4s5EHGpxojkipJzzHqQPEGGn9m2ML4PvPaBxBRdSbIJqT0mSenMzzZnEXdnDH79b5jsavorr0pi50MJ04H3/RNwlidIhqhani4g29N3b10wvP/OYOsLBy4qUTMe/queZf/B0k+tOYMrNKqjOn7gvC0lPiLuSC9mVQM48HC5CUefrNr1UrQI79Dq86/cWwuupY+4IAabwReQPz6wRIYiZYdElyilYpEn9gqWyo+tRUV2/AJ7fRw+2Mtl6lguLdAzhIdOHp5K6Z4JjJuG+K/g4I1Ue+HCQUhgwZgpkzZ4o7IBQNoUMHIarU0aPGTTg0ZckPpGPHjsIOCJUnx3LaATl06JBg0tSkiajMzU0lS5YUBMysWbNAzt/kU6IRILQLoYmCRf4g+imBAPnwGu7RatO3HKUR8uRJok7otAv09OlTwR/GmBN6/LaT6VqFChUwf/58YdeF2qVxxjf3PpObz953QOQRoXD8rZCwGvbx51D4uKdu+FSamNNLKpO7M66MrZ/cbhRffkolJJOMmFjSCyexePXjPghRb4ZuuY5tl5/ioUtH8ZCrnifFsLZ6icLQtlp4VvsJxY/PgFjhVGjNC2vtuRA82jsL453W4oCiAhpPFl+SFAGr0fnvUUb6AGj2G1D+B209S/95hKn77wj/p8MDbXXGjVUwuXCaJrB31S9oFjItQRuf9gxGLr9E/BzT9B1x45JF4Pxi4OBwXVEaz/TGwNvK3MIRBIr22+BQsB5iFlSH6zsx0E21mHnCuRb1pJfxRuWDG6pAtCrrjw6FgHI7aiEaLnCboD6o0EjjPs2vCo+w29jt1BDNRxsP1xvxWYbfj90XDgjUpONDayMgo5swSW9dzj/ZYaAp3PftFxHIm9UdObz1LFZiI4HpOY3iVNYeBWltPV56uQZuuIrd18U5jjUCZNmpR5iyTxzPyZevckAGFiDJerhtWEgrQEZ4wqsX2egNBd6KnRRTqgseF+4tTGi1JljWXjv0JqCUJ+q7kVT1Ma+C4aqKFrLEueeAs1e2RAVMfAFCZSgMLjmL0+RWI0DILItW+Mn8qEePHnB3dweZKlG4W4qARYnykvAggUB+GbSbQmd6UHhdSuQ/4eVlPPb5kiVLhLMzaNclMDBQuPaaNWsE4UEmWeRrEl+A0PXIR2Pv3r0YOXKkEGUrW7ZsePLkCWbMmIGLFy8KEb4oKWIi4aA5ONGvDEJCQoT+0g/De+vWLVA0LjL/2rdvnyB2KOnvalB0LIr2RbsvZG5GTvAUiWvKlCno06cP1q9fj549e4L8Y8iZ39PTU/CPSalk7wJE39TxRd+H8PcVY7WnVmqz5JywtU3pwdTGyd+BSeTwwGDHwig85gL+mjMU339cmvC2Bt0CfAIEf4wCkuc47PIz5FJXOI5+ATgYBpygws8/fBbO6KFoVE3ni2ZZF0fXNXiJzvpjAYa+HY07ygAUmSTG328x/wR2hqlFfoetQAGd2KIDNk89eCcc7EdCjBMTMEXgwI61aHw94cGhEUNfwdsj6RPNTdXN339BBJQKYFImXYPjLbacVxZBZekdRDVfCveybQwWYuisjVgYjjd0MGpIyCMUWa/2wVAv0CQg8vgUsFo8B2yLRwf8b+jCRKHRPCM4NBKBWT1SL/Ke/oJT/ck6p/sms4CKPYy29fjdN+i68hKalMiOhR3MC9lurKIVpx9j0l7Rd+b6uAaQyKNZgPzXPykDAeJiePBVzJAn4kGEthQgCrm4S5KEw2liTKJeP4K7Qoz4JM9cCI4uiQ/oxgQITeDJtyI2NlYrQKguMkkaPXq04FBOP0oSCuRoTmdwaNK3334r+GRoxAblo6hR+fLlE8onlsikac6cOThz5gxevnwpOKqT38nQoUOF8MCUSIiQY3pkZKTWkZ3C5i5dulSIxEUCQiaTCRN/ykeRuMh0TEgqFVSfXkNC26Su3loBomlPhgwZhAMMSXRQOfJd0SR9AUIO9b179xZ8WUjc5MiRQ4ggNn78eEilUoEZ7RbRThGZf3EY3hT+5SqVUE7MJKz676x3HC2qJxEGOwWaoh929vzIusjuncwdmER2OK4q86PMpMv4YdUlhN89jW6O+9GUDqnSpK/nAWU6odCoXfifw0lMcVqJz/5VkaHHAZN3SxFUIqLlKJfbcNfl4d3rCNxQE3Rwqcv415BIHdB05B/Y56L+ndvyEDWTreQM6ZHA8oMX0O18A4Nbo/DoknHvEoQGTY/3z/ekR0B/7IsnQI6pyuEryWW8rzMTmWt004qVDfI6GClPOBGnlf+HT58jcEUx8QJFWwBtVifEfWQCcPo34fPdmbuh+YA5aatLDo0GHhwVzxl5GwysUluOVOoDNJ6RaFvvvPooBGbwdtP56lp6YwduvkIfdTQw4mnU/cCCSiUqzTK2BYU4qyGBRAVIuw2IyfOVcG6ETQWIFR3w6dU9eKjEg3GE8HCSpJ2OrLhUqhalUL0UKYtOJuckErD7HRCCoH6BCafYTv8xVR8NfQGyd0B1FPdPhu9DTAQwI/GwiXQi75Gg10IkKTrxtqz0PmY5LUEOSRhUzeZCsneQwT2rvhoLSc2hyeYQFxcHydTscJIo8K7HFXj45sHyiV10zutmnEeS7ItzQbsgcP7Re3itqoOiUl3giAiVO7wn6kWItAsSfJP6fh001ql29IaE/EK+nof9+7ajifIkXlUajazVusBxTgEBWGDMWlQK9MXZh3qHq6pNj569+4iABQE6sEbGq6ijv8L91FQhz2G/vqjfc3ra7Qj9XaJhjwD3zCnaVplCiUl7glA1MDMal8jBAiRFaZtZeaICpPdpxPgUSFMCRPb2EZzUZ17ony9i5q2muWy0q0CHApJpE+2m6Ee9SnONTeUGsQDRCRABfSpOjj/HyVFs3AF853Ac15X5MKxLG9Qu5Gv+E0AHk84pDGQvqfX52qaojtYOusOzVOW6QvL1XKHOkHdRqD1LjBizzmkqqjnchtLVB9IYMdKbNnU/BuRM/hY81fN0QmHkwis8aLwB1xxLInDXN4L/h8opAySJnPJr/o1zTnsnQGZ7tUevRD3pFYxzWpvkZNHeWdnF/dPxBO5ZEpiK75zaHi1k+/CseF84lOkAv7XV8FHlhrKyFQie3AhHg9+gl955Q7RiTw7eWWfrjcNG3gmrx3wrBNqgtLXkUnzbqo1dYE7OTfIOSHKo2bhMogJkXBhi4mRpSoBAHgtlWAgkHr6QJHVuiI0ZpVR1JDjIsb1q1aqCuRVF3eIkEmAB8t8IEJpA5Ru1H99IT2Oe80J8UHmgTOyf2N63KsrmSuKsHv0H14jZ1YtBofD3dBLPEHpwWDxp11lnQjlh922sOhuS4CAsg9/DuDAxRK8V6dbU6iguu4lZnsOw4G0ZPHTpIAa2yFkR6G54AKEVl+Gidkxg+enH2HsxCDs+tmcBYsfPQVK3vm1mT7SO2oRQ/waIKNsPhfZ8g5fIAq+Rd0Hhvm8+j8DXC8QFm1Zl/DGnbWlExshQb8JGXHBV+xgZESB/j/0KDRwuY6eiKp7Umo8f64k7K5wSEvjPBQg5A5Otf0o606b1jk9UgEyI4ElgWu+8dNw+FiBA6NyvkD38Mm64VUTW3rthEFEkhfr+8pMwtF50DoudfkO9cauCAAAgAElEQVQjB9G3icwCFHAwPwKJMb8PEzs4UbFy0LkeD9cOQHvVPuN3Z4NdoP3jGqKJ9LwQCauP7Ced4Gk4HajSN4WocrX2RoDMPZwm6wl2Gzy79sYwPd/v7Rm1USzmqnCL12qtQOmTP+CxQ17kHXtN+Iy8C8bsvIWATBnQu1ag8BmdNl5u9BZcd+0p/n/0Wzg6GTqr3xxXCiWkIegeNwRVmnREt+p50zNGq+7tPxcgFIr01atXQoQje01GBQidVNl5DwsQe30o0sB9swABrmyejrJBM7BXURkD5QPx9081kd/XM8V653jwG3RdJYoOzaF99O/jilLYo6iCmVNmwEFqGKjCaGPiCZD58hYYOMWIw6SRwkPWncHs+4YhrVX560Py7QrA1XikOUuAxE3IDGfIhSIlY5bihqva4bPdeqBwU0uq4rxMIEkC28c2RSuH0+gfNwALpk1hWkxAS2Dv74PQ7L14Xsy5srNQ5cpQ3HEpiSIjTyVJ6ciNENTbXkrIE/HjY3hn1Iu0BeDjBH944RMaxs7A+tE/ILNHykWq/NK78z8XIBTdh86AYAHijYgnt+HlFyie3pmrshBRiSeBX/pP7MttPz97wNWd81Hm2lgcUZRBd9kwjGlaBN1r5EuRTg3/HIfSk3QmSCfdhiG3Sjw1VpNe/xSKbF6uRkNfn77/Dt8vP4/eNfNgxEW9w6cANImdhv3T+5nV7sGbriHLjcUYRSeTa5INV48/n5iHDCfGJWzLmDfJisxn1k1xJrskUGvmcYS9f4cBTcqiZ01xFZsTEyACS9auRa+H/RHuGoCgvJ1R9c4UXHevhlLD9icNSKWCfEImOEqUeNntKvwCdO8DWexnOE0Xz5p52ycYWbPxuTNJwUwTAoTCj2bNmtVufxVJdYJmEpgnTx64uekdKGO3tPjGU4tAdHS0NqSwzc6gSa3G2+g6Nw8uR4nzgxGlcsFU+fco2fxHtKtk/OBNay+pb3MshRIPXTtCAt2hn9r6K/fFpzqToVCo4P3sCODqA+SuguYj52O3y1j8qyyI8tJ7Bs1ZUn4/ejUzFCWJtZfCLTaedwouiENzh7PYraiKuzNaWnt7huXjm4j5lwN6HLPtNbg2uydA/lSP30chXxZ3PsTS7p8GQwCLtuxHn9vfIcbBHVdzd0OVR/NxyacRKgzaZJqUevxqFDsD0/q00/rmvX52H9mWl4dM5QCHce8gdUgfUUJNA0lejjQhQBo3bmzSB2T79u3Ju8MvoFRSnaBQKHDv3j1hhyhz5pQNkfYFoOImpiKBiIgI4dwUOrfEySn5sb9Tsck2v1TQsQ0o+k9vbb1Hyi5EveYdbH4dqlA/7O6QslIMCGqX5HX+UZRATQfx5F6MDgWmZk80/92eISjkZ6YDe7y2TGlRHN9XtrHoUioNTiVGjlJAr39ShCtXygSYABOIT2DRgUvoc6Ge8PFlv/Yo93I9zmRtg2r9jBzKGr+w3gJKnpj1Wt+8Q38fQMOz7fAGmeA7QXfCOdM3TiBNCBA6cdrU6j4dupZek6lOIB8ZOniORAgdaieRmGEDnl5h8X2lCgE6hJHEBwkPigxmr8/cvbO7UfDvjlrmJ3MPRK2uk23eBwqlCoGj9kMCJbzwWevkaPaFev2DuCV14QyZQZFIlRuCVLmRd9hJgxPJza43JTPq74IkcQpvSjaB62YCTMA+Caw7/xhtD5QVTKnuZayFgh9O4lSOLqjRa55pIHpj14S8GzChs+gz12fUOCxynocgZW4UnXTDdD12nsPU3NcUHqsPImQfEJg8jIWiMZCfDIkQTkwgtQjQb5MOwHR2NozykVrXTwvXCbl6FHl2tdI2ZabrAAwbYXtn1qfvP6P+zEO469ol4W1PiED4wenwOZ/4KbVovxmKdW3FcLbq9EiZHU3jpiEWzrgzpQlcHK0Ln2vz/vj0BpilDlFpQx8Tm7eTK2QCTCDdETgc9BqlN1VAVkkEXmYoDL/PwfgnoA9qdktinNVQkMcBU/TcBjTjl1qYvFd5IvPE5+mOma1v6D8XIBwFy7QA0XQ6mWPJZIYrnLZ+ILg+JqAhQMKDRIg9p5d3zsNvU0MtgoVuPdF3+EybIyHzqzrSq1jpHK/unicBv9LC9WKio+D6i5/xa1fsBVxckuA7Mg+gRIdocWICTIAJMAGRwD/33sL3rzooLH2GSMdM8JSH4VTeQajReaJ5iNRiI1gZAP9RVyGXyZBxtp7TOS+qmOT4nwsQ3gExX4CY7E3OwASYgE0JhD8Lgs/yKto6d/h0QctBZmzRW9iKQiN2JNz96HYYCKhoUNPL8XnhJwkzq/a/MvbD+2JdkSuzG1qWyWlWGc7EBJgAE7AHAm8+xuDJrBqoIL0HJaSgwB+nC45A9fYjzbp92YXlcDowWIiQ+KrpaoTvHYcBjjuFsk9yt0burivMqseeM/3nAuTkyZOoVq0aHB0dcfToUeHPmzdvQDbo+mnFivTbmdZ2gj0/wHzvTCBFCUQ8B34rpr3EXveWaDZslc0veX5cZVSW3tHV22YtULR5guv8OGok2jsew0hZdwxx3Iza0utwl8Qabc/50jNQuUUfm7eVK2QCTIAJfOkE4uRKnJtYC7UcdL4aZ4tNQNX//WTerd0/AqxrjTvKADSO+0V3oCodYjj2PSQOjubVY8e5rJ37Wu0DomE/ceJETJo0CeXLl0eOHDkSOL3u2LEj3XaTtZ2QbsHwjTGB/5pAXBQwTWf2tE1RHa0m7TXfKV8hBx4dF3cyXL2N3g2FCpVO8tF9Nz7c6DkflEE/UtaiDmWRf0tdFJAanhWiqehy5d9RrlGn/5ogX58JMAEmkCYJ/D2hARrggrZt50v/gsotdFEPk2z027vAHxXxUeWGCrGLDHew2fzKrP62du5rMwFCouPXX39Fx466iDNm3UE6yGRtJ6QDBHwLTCDtErh7AJEHJ8Pzw20cVpRFkcH7kDNjBvPau6ga8PqWmDeRl1LQ4xcourqokEXe7RgcA8olWnebJedw8XEYRjcpgh4182HdgnHo8E40CXui9EVGaRS8ECX8f0PJlfiulc6B3rwGcy4mwASYgH0QODilBRrJj2tv9mLFeajYxEggEGM49Ban6NTzQy4jhFyyRrPgVLmHfQC08i6tnfvaTIDQGRcXL15EYKD9nVZqbSdY+QxwcSbABEwQeHxiDfKeGIALysLI3P8I8vt6msdMP9SsvgCJ+Qi8+BfIWwsvJ+bX+XWMeQs4Jh11jKLiacIi/7TxKn4Lri205bKqEApLnsAdMcL/o0a8g7urfZ7fYl7ncC4mwATsmcC+GR3QNGavFsG/1f5E+fptzUeiHt/HyrpgspPaNHfsO8CBx11zIFo797WZABk+fDg8PDwwduxYc9qdrvJY2wnpCgbfDBNIgwReXNwJ//2dcUOZF9JeJ1Hc37g5VYKm6wuQjjuAwK/ELOvaAPcPAQ2nA4f0nB4t3Lonk6wjzkORX/oSg73nYlLESHggWryGhXWlQezcJCbABJhAihHYPbsHmkdu1tZ/rc4alK71jfnXU4/v95X+giksH0BoPjrKae3c12YC5Mcff8SaNWtQsmRJ4U/8k5fnzJlj2Z19Qbmt7YQv6Fa5qUzgiyTw5uYR+G5rjQdKP7zpdApV82cx6z5UvwZC8vmdLm+HrUCB+oC+MFF/e73BZpSqqgv5a84Fas88js/vXyCz5CP8C1fA/MdNkQFqp3QWIOYg5DxMgAnYKYGd8wahxQfdIdc3G25BiSoNzKYRs6QeXF9dAp25lE8aiofKHAicFGx2eXvPaO3c12YCpE6dOon2BZkbHDt2LN32lbWdkG7B8I0xgTRCQPbsCpyW18FLVSbca38BtQv5mtWy0PF5kF3yQZe3cDOg4TRgXskE5WNGhMLV1c2sejWZyBwr78j9wn8nf1MMbQ+Wg7NELn7NAsQilpyZCTAB+yKwfeEotHrzh/amg5vvReGyNcyHcG09sFMXaTDIsSiKjjlnfnk7z2nt3NdmAsSe+8HaTrBndnzvTCBVCLy7DywojwhVBpz59gqalNA7cCqpBsTb6fhUvj/u+tRAuSOGdsbnFEVRZXLyXlyb/32Gf0PCMKVFCThMzqQ7DZ0FSKo8GnwRJsAEvkwC25dORasXv2ob/+B/R5G/WHnzb+be38D6/2nzfyzYGl7t0++REeaDMS+ntXNfFiDmcU4yl7WdYIMmcBVMgAkkReDjS2BOEchUDtjc+Ao6VM5jmte7B8ACMaLVPaU/Ckpf4E95U8GRfbnzbIPyJxyqoPbYg6brNJUjMad3U+X4eybABJiAnRHYsXouWj4er73rp9+fRa78unOfTOJ4fhlYpvbro8y1RgB1zDvI0GTddpDB2rkvCxAbPCTWdoINmsBVMAEmkBSB6HDgl9xCjg7Zd2Nd71rGc0d/gPzZZThmKwL8JobWpTRD1g4jnDaCzhGpIb0FX0m4Qfl/PBqj5tCN1vcBCxDrGXINTIAJ2AWBnRuXoUXwEO29hna/huw585p/7zERwIxcuvwVegBNZ5lf3s5zWjv3ZQFigwfI2k6wQRO4CibABJIioJABk0XH877+27CwRz2juV/MqQX/j9cMvotUuWGivBNmOS3BP4oSqOlwM0HZE5naovbAP63vAxYg1jPkGpgAE7ALApN/X4yx74dr7zWsXzAyZTXTvFZTSn/M/W4TUKiRXbCzxU1aO/dlAWKDXrC2E2zQBK6CCTABEwTkE7PCURWHX4psxfC29Y3nNhLdisy2usuGYrXzLwhS5sZblTdqOdwwKL/ZszPaDJlvdR98+qUoPKJfINo1G9xG3LO6Pq6ACTABJpBeCbQeswDbHEdrb+/T0Gfw8PCy7Hb/XQHs/Uksw353FrGzdu7LAsQi3MYzW9sJNmgCV8EEmIAJAtFTcsNNHo6ZgWswrGMiseKNCBCqdnXJNeh8oxPeqHzwXuWFItKnBldb4NoT/UfMtL4PQm9BfnImHOuOAbIUsL4+roEJMAEmkE4J7Pz7GFqcbam9O9mY93BydLT8bl9eBVx9gEwWmG9ZfpV0V8LauS8LEBs8EtZ2gg2awFUwASZggkDkjMLwjHmFWbkWYegP7Y3nTkSAbK+5H63+aYIYlRPi4AgvifqwQHUtf2Yejp4DRnEfMAEmwASYQCoRuH77Fkptqaa9mmp8OOjYB06pQ8DauS8LEBv0k7WdYIMmcBVMgAmYIBAxuxy8Ix9getZfMLJf7wS5lQolpJMzJvi8ZMyfmNC8KFr9Xd3guxeqzPCXvBc+W5P3V3Tq3Iv7gAkwASbABFKJQNDT1yi6oqDuamxClUrkxctYO/dlAWKD7rK2E2zQBK6CCTABEwQ+LagFj3fXMMJ5JGaMGpEgd1REGNx/M9yCXy//CqPk3TG9RVF8d7C0tgzthDxAAIpLHgmfHaq0Gg0bt+A+YAJMgAkwgVQi8PhdFPIu8BOudiVDdZT9eV8qXZkvwwIkjTwDLEDSSEdwM5hAEgTiVjSD89NT+EnWF79MnApnR6lB7rBHV5BpTR2Dz1bIG2GSvBMujKoLj9m54C6J1X5/GYVRDsHC/2W9zsIphwXx57mnmAATYAJMwCoCzz98xk+/LsI3DmfwruZUDGpQxKr6uLBlBKyd+/IOiGW8jea2thNs0ASuggkwARMEVFu6QnJ7OybLvkenwb8id2Z3gxJvL25D1v0/GHz2h7w56vVfiNyZM+DjlHwG53+cR0lUhjoa1uA7gJe4EseJCTABJsAEUp6AXKFE/tEHhAst7FAWTUpYGII35ZuYrq9g7dyXBYgNHg9rO8EGTeAqmAATMEXg0Gjg3ALhNPMC389FncK+BiWeXDmE3LvbGHx2OHt31O89GyqVCo/HF0Y+aaj2+0uSEqigUp8JMuol4GwoaEw1h79nAkyACTAB6wjMOBCMq08/YE23inBxdLCuMi5tEQFr574sQCzCbTyztZ1ggyZwFUyACZgicHYB8LcYM/6nIifxW1udT0fEZxn2bl+LDg/U8eDVdR3364k6PcXwujfHlUIJaYjw73tKf0Q7eKKUSjTBwvhwgKOvmOoB/p4JMAEmwATSCQFr574sQGzwIFjbCTZoAlfBBJiAKQIPjwFrxZjx86r/ix/r6c7Z+O7P8/AIOYSlznMMarmb6SsUGrhD+Oz8uMqoLL0j/HtTxl4oEXEMRZX3xfwcfcUUff6eCTABJsAE0hEBa+e+LEBs8DBY2wk2aAJXwQSYgCkCn94As0TRMb7USUxsqdsByTNiH5pJz2GB8+94pMyuNbXaVG492n7dVChzbFwdfCW9Ivx7s9/PKPjmIErL1T4gLEBM0efvmQATYAJMIB0RsHbuywLEBg+DtZ1ggyZwFUyACZgioFRCMTkrHFRyjMi1HjN+EIUFpT6jxmGR8zzh38cVpTBG9gMi4YbmlYtiSosSwudPxhVAbukb4d8Hcg2F8u09NI3eLVbAAsQUff6eCTABJsAE0hEBa+e+LEBs8DBY2wk2aAJXwQSYgBkEPv1SBB7RL9E6djy2TR+sK6F3AvpBRQX0lom+IP3qBGJYw8JqkeGtzX/Zrz0WKlvi2xe/YruiBpZOG2/G1TkLE2ACTIAJMIH0QcDauS8LEBs8B9Z2gg2awFUwASZgBoH382sjc9hV9IsbiD+mTTYqQC64f4Wukb3wOU6BGxMawMvVScg3cXR/jHdaK/z7cadL+CtIjuWnHwv/D5mh200xoxmchQkwASbABJjAF03A2rkvCxAbdL+1nWCDJnAVTIAJmEEg8q+O8HywGzOUHTFi0gKjAuSiTxNUHLQhQW0/jhmDeY6/i5+PfYe3n5UYteMm2pYPQL2i2cy4OmdhAkyACTABJpA+CFg79/2iBcjUqVOxb98+XLt2Dc7OzggPD0/Qq0+fPkW/fv1w7NgxuLm5oX379pg1a5aQX5NOnjyJwYMH4/bt2/Dz88PPP/+M3r17m/2EWNsJZl+IMzIBJmAVgajdw+F+ZTGWKZqi26R1kGhC5+qZYF3M0hIV+69KcJ2TW35HrdtjxM/Z58OqfuDCTIAJMAEm8GUTsHbu+0ULkPHjx8PHxwfPnz/H8uXLEwgQhUKB0qVLI2vWrJg9ezbev3+Pzp07o1WrVvj9d3El8/HjxyhevDh69OiBXr164cyZM+jbty82bNiA1q1bm/V0WNsJZl2EMzEBJmA1gZiTc+F6fDx2KariQY25GFy/INaef4JOh0pp676YvT0q9l6U4Fq7j51G83+aQqmSQDox4WKH1Y3jCpgAE2ACTIAJfCEErJ37ftECRNNHq1atwqBBgxIIkAMHDqBZs2Z49uyZsLNBaePGjejSpQvevHkDLy8vDB8+HLt378adO2J8f0q0+3H9+nWcO3fOrMfA2k4w6yKciQkwAasJKG9sgXR7d5xXFkG7uLEY8FV+/H7sAUJc22vrvhTQFRW6zU1wrXefYtF+6kr458yFlf2aWN0WroAJMAEmwASYwJdKwNq5b7oWIOPGjcOuXbsEMaFJHz58QKZMmQSTrDp16qBmzZooU6YM5s0TQ3BS2rFjB9q0aYPPnz/DyUl0QNVPsbGxoD+aRJ0QEBCAiIgIQdRwYgJMII0SeHwKWN0MD5U5UDduNvx93PAiPNpAgPybrw/Kd5ph9AY+xcrh5uQAB6kkjd4gN4sJMAEmwASYQMoTYAECILEdkJ49eyIkJAR///23QU+4uLgIZb777jsULFhQ2BEZNWqUNs/Zs2dRrVo1vHz5Ejly5EjQixMmTMDEiRMTfM4CJOUfeL4CE7CKwKsbwJIaeK3yQaXYhcjm5YLXH2MNd0AKDEKFDgl/31ZdlwszASbABJgAE0hHBNKdAElscq/fZ5cuXUL58uW1HyUlQJ48eYJDhw4ZdDk5oK9Zswbt2rUTBEjXrl0xcuRIbR7yA6levTpevXqF7NmzJ3hceAckHf2C+Fbsi0DYI2B+GUSpXFAsdqVw746Q44FrJy2HS4WHoUI7tbO5fdHhu2UCTIAJMAEmYBaBdCdA3r17B/qTVMqTJw9cXV1NCpCUMsGK3zZrO8GsnuZMTIAJWE8g6h0wM1CoJ1/MX1BCij4OuzHcaaO27stFhqNcW92OqPUX5RqYABNgAkyACaQvAtbOfdO1D4jGCZ2iZGlMqTZt2iREwtJ3Qt+zZw+CgoK0T0afPn2E0L7shJ6+fix8N0wAshhgqnhmR+PY6binyomHrh0NwFwtOhxl2rAA4aeFCTABJsAEmEBiBOxagNAZH2FhYUIUq5kzZ+LUqVMCp/z588PDwwOaMLzZsmUTvqe85O/RokWLBGF4KQQvheIl0UFRsDgML//omEA6JKBSARN9tDfWJnYsNrvonYgO4FrxUSj97fB0ePN8S0yACTABJsAEbEPArgUIiYnVq1cnIHn8+HHUrl1b+JxECp3rEf8gQnJE1yQ6iPCnn37SHkRIoXn5IELbPKBcCxNIcwT0Dh28rCyActL7Bk2MqjsN7jX6pblmc4OYABNgAkyACaQVAnYtQNJLJ6SV++B2MAG7ILC2JfDwmHCrV5X5UUb6wPC2m8wCKvawCxR8k0yACTABJsAEkkOABUhyqNm4jLWdYOPmcHVMgAkkReD4dOCkeM7HHWUuFJE+1eV2ywgMewRIpcyQCTABJsAEmAATSISAtXPfdOGE/l8/HdZ2wn/dfr4+E7ArAgoZMDlLwlv2Lw/0OGpXKPhmmQATYAJMgAkkh4C1c18WIMmhHq+MtZ1ggyZwFUyACVhC4M5eYFMHwxI/PwYyZLKkFs7LBJgAE2ACTMAuCVg792UBYoPHxtpOsEETuAomwAQsIRB6E1hc3bDEhAhLauC8TIAJMAEmwATsloC1c18WIDZ4dKztBBs0gatgAkzAEgJKBTAp3m4HCxBLCHJeJsAEmAATsGMC1s59WYDY4OGxthNs0ASuggkwAUsJ/JIXiA7TlWIBYilBzs8EmAATYAJ2SsDauS8LEBs8ONZ2gg2awFUwASZgKYHfywPv1WeAFGkOtF1raQ2cnwkwASbABJiAXRKwdu7LAsQGj421nWCDJnAVTIAJWEpgeUPg2XmxVN8LgG9hS2vg/EyACTABJsAE7JKAtXNfFiA2eGys7QQbNIGrYAJMwFICeieiY3gIQGeAcGICTIAJMAEmwARMErB27ssCxCRi0xms7QTTV+AcTIAJ2JzA3BJAuPoQQvb/sDlerpAJMAEmwATSLwFr574sQGzwbFjbCTZoAlfBBJiApQTe3gVOzADqTQAy5ra0NOdnAkyACTABJmC3BKyd+7IAscGjY20n2KAJXAUTYAJMgAkwASbABJgAE0gVAtbOfVmA2KCbrO0EGzSBq2ACTIAJMAEmwASYABNgAqlCwNq5LwsQG3STtZ1ggyZwFUyACTABJsAEmAATYAJMIFUIWDv3ZQFig26KiIiAj48Pnj17Bi8vLxvUyFUwASbABJgAE2ACTIAJMIG0SYAESEBAAMLDw+Ht7W1xI1mAWIwsYYHnz58LncCJCTABJsAEmAATYAJMgAnYCwFafM+ZM6fFt8sCxGJkCQsolUq8fPkSnp6ekEgkNqjRsAqNyuQdFpujTbRCZp56rPWvxNyZ+39DwPhV+Xn8b3qDuac+d2ae+szpil8yd5VKhcjISPj5+UEqlVoMkAWIxchSv4C1dnap3+Iv/4rM/L/pQ+bO3P8bAokLEDItIDNbNq9NvZ7hcSD1WGuuxMxTn7lGgNjrGMMC5L955iy6Kg8MFuGySWZmbhOMFlfC3C1GZpMCzJ0FiE0eJBtVws+jjUBaUA0ztwCWDbPaM3cWIDZ8kFKqKnt+QFOKqal6mbkpQinzPXNPGa6mamXuLEBMPSOp+T0/j6lJW7wWM0995vbOnQXIf/PMWXTV2NhYTJ8+HSNHjoSLi4tFZTlz8ggw8+Rxs7YUc7eWYPLKM3fj3JhL8p4na0sxd2sJWl6emVvOzBYl7Jk7CxBbPEFcBxNgAkyACTABJsAEmAATYAJmEWABYhYmzsQEmAATYAJMgAkwASbABJiALQiwALEFRa6DCTABJsAEmAATYAJMgAkwAbMIsAAxCxNnYgJMgAkwASbABJgAE2ACTMAWBFiA6FEkR+/t27cjODgYbm5uqFq1Kn755RcUKlRIm4schoYOHYoNGzYgOjoadevWxcKFCw1Ogfzxxx9x+vRp3Lp1C0WKFMG1a9cS9NWhQ4cwfvx43L59G66urqhZsyZmzZqFvHnzJtmv27Ztw9ixY/Hw4UMEBgZi6tSpaNmypbbMp0+fMGLECOzcuRPv379Hnjx5MHDgQPTp0yfJeqmeffv2CW11dnZGeHi4Qf5Vq1aha9euRut4/fo1fH19k/U82ivzkJAQTJ48GceOHUNoaKhwkM/333+P0aNHC/wpxcTEoHfv3rh8+TLu3LmDZs2aCf1qi8TcE+dOfWPsd3jgwAE0atTIKvzM3Th3DRcaM+VyOehw12zZsuGnn37CsGHDBOZpfeylcXD48OH4+++/hfGTxvTff/8dBQoUSPKZ+fDhgzBG7969W8jXvHlzoZyPjw+PAwBMvfNSintKjQPpYQxIKeb0wG/evBnTpk3DvXv3kDVrVvTv3187Blgz+Nozd1PzO5ordujQATdu3BDmjTSf++abb4R+SMnzj1iA6D3RNLlo164dKlSoILwEaTJ48+ZNBAUFwd3dXchJE/k9e/aAJuSZM2fGkCFDEBYWJkwSHRwchDz0MiHRcuHCBaFD4wuQR48eoWjRohg8eDC6desmHHJFL1oKg3f16tVEf2Pnzp1DjRo1hIkriY4dO3Zg3LhxgtipVKmSUK5Hjx44fvw4li1bJogPehn27dtXGMTpgUoskRiiF97z58+xfPnyBAKExBa1Uz916dJFmCSfOHEi2eOCvTI/ePAgNm3ahO+++w758+cXxCr1XceOHQUhSikqKkoQu2XLlhX6j4SqrQQIc0+cu2bicTQTAYkAACAASURBVOTIERQrVkz7bGfKlEkrDpP7wDN349yJC42J8+fPFxZQzp49K/wmJBKJsOBCk5C0PPbSicC0YOXk5ITZs2cLL+05c+aAfuf67w9jz03jxo2FcffPP/8Uvu7Zs6cwdtN7hseBpN95Kck9pcaBL30MSEnmtMijEeANGjQQFt66d+8uzMVoDLAm2TN3U/M7WgTZuHGjMPcl0ffgwQP069dPmHusX7/eGuxJlmUBkgSet2/fCkrw5MmTwmoWTcCpc9auXYu2bdsKJV++fImAgADs378fDRs2NKhtwoQJwoQxvgDZunWrMPGkFT3N8fX0siGBQJ/RS8xYomuSSKEfqSbRjypjxozCjgyl4sWLC22jl7YmlStXDk2aNBGEi6lEwmrQoEEJBEj8csTG399fECs0abZVskfmGnYzZ87EokWLQAI1fiKxR6uqthIgxvrT3p71xLhrJh60GFC6dGlbPdpG6+HnXfe8t2/fHjKZDFu2bIGGC0066JmnhSB6PtPq2EurtbToRKJJI1oVCoXQZtpFp0mUsUQTLBJe58+f1y4i0b+rVKki7MTr775TeR4HIOxCat55Kck9tcaBL20MSEnm+mOA5vcyd+5cQdQ/ffpUWJCwVbIX7vq8zJ3fURlaDKI5ybNnz2yFPEE9LECSQEsqkLbP6eVHE3sylyGTK9rxoAFQk0qVKoUWLVpg4sSJBrUlJkBoYCtcuDD++OMP4YVCZlO0+k3iglbMEku5cuUSdkrojyb99ttvoB/okydPhI80Jjv00iazHtqdoBUFEi3Vq1c3+SCZ+4DSgECC5tWrV4K5mq2SPTLXsBszZozQ///++2+qCxDmruOumXjQwgLt8NEYQL+5b7/91laPubYe5q7j3rp1a2TIkEEQGRoutJBC48y6desEE4G0OvbSO6JkyZJCu8k0VpNy5MghLEzRuGosrVixQtgJj2/ySrvRNLbHN3tNaQHypT2PKck9tcYBZq571vXHAM3vZcmSJcK85vHjx8LOoK2SvXBPjgChhXUSgzlz5sRff/1lK+QsQMwlSduMtCNBW1OnTp0SitFWFL0QaJdCP9FWIdmM0w9FPyUmQCjPP//8g//973+CvR2tlNGKF+2iaOx+jbWTfAPoRUYPhibFb1NcXJwgZtasWQNHR0dhh4XMsczdpTBXgNAqX61atQT/F1sle2VO/Minh7Y7SdgZWy1NyYkHczfk/u7dO2ESXK1aNeH3Q7b5ZEO7evVqwU/HVom5G3InEyQSert27cK8efOExQ0yQ6SdABpLyR45rY69tHNDQrVixYrCe4BMdskEiw6PpfcD+fwZS3RPNObSqrJ+KliwoPCuofL6iccBw/dwSnJPjXHgSxwDUpK5ZgygMbdOnTqCoKd5GI0BZJZJ8yRbJHvibokAIcscGn/J5P7rr78W/HHI9DulEu+AJEKW7N/IKZv8K0gFJiVA6tevL6x6LV682CwBQk7HZNJFuybU4ZGRkYIvBwmGw4cPC1tetC2vSaNGjQL9IQFCkyAqo0m0Mkh+JLRSS4n8B5YuXSr8nTt3bkHo0EuM/EXq1asnrCToK1rafbHkAaW85ItC9s60Uk/mXbZK9sqcVhtIzNEfEovGUkpOPJh74tw1fTFgwADBFJN8umyVmLshd5oUkP8HiXBalPH29hYECYmPSZMmYcqUKQkESFoae8kPkMbi69evC/6ANN5qTGxpccnY2EsChMb0u3fvGjxWJGaoLuKRWgLkS30eU4N7So0DzByCcNc865oxgMx/SOiQLxUF9aExgHxqSeDbItkTd0vmdzQ3pd1YGo9ozmnrReb4fccCxMjTTJMNMmGiybt+NBxbmWCRWQGZROmb2pATIpl80OS+fPnyoO1fTSLnV/pjygSLVCu9tElsNG3aVFueVtSpfjLvefPmjWDqpUnkAG3JA0p5abC4cuVKkg7zlg4S9sqcxAet9FAQAVoJ1UxY4vNLKQHC3JPmri/06XdEvzFbJOZunLuGC6280eLG0aNHBf818psjEzhrTbBSauzVfybIV5B2oslfkH7XNJ6Tua2xsTetmGB9qc9janFPiXGAmYtUjZkb0gIETYbpN6QZA6yJtqn/nNgbd0vnd5r8tPhOQY9ojkKmpCmRWIDoUSX1TQ8nTeDJdyJ++ESNEzrtILRp00YoSWYCtENiiRM6Rc6iziVFr0lUD/lsnDlzRthdMJbIuZx2S+hamkQRVOgHTE7oJCxIgND39Lkm9erVS7CfpIhYppIpEyzaMaGHkULaWRuVgtpiz8xfvHghiA+aaNEzpYmiZqyPbC1AmLt53DV9QdHIKES3sQABpn5T+t8zd+PcE+PSqVMnwQyDFmxoMpJWx15jz8D9+/cFXz9qO5lhGUsaJ3T91V36d+XKlVPFCf1Lfx5Ti7stxwFmrtvJSOpZ1zDXjAFkgmVNslfuyRUg5HpAljq29r3Rbw8LED0aFK6WfCrIBk4/+ghN6jWO1hQKcu/evcJqNe1K0MSE/Dj0w/DSC5Mm6mSSRSFxKdwqJTKrIjMq2kmh7XnaVtSYYNF2F9k50gspMadu+gHSA0H26GQXSe0kx2X9MLy1a9cG2a4uWLBAMMEisxFqM9kjJ3UWCEWYoNVFsr2kyAcavxfaIfHw8NBSoqhXJDxIFes74id3YLBX5hqzK9rVIn8dffGRPXt2LU4K4UmrqWSiR+KTHFMpWRudibknzp1MYigSXZkyZYQdKYpQR79PimakHwAiOc88czfOnbhozEkpxDj5elBYSBIctBNNphdpfeyl6F0kkug3Tc7RZDpCiwsUQjupRItFNB5ofAgpDC+N3ZowvFSWx4HE33kpxT2lxoH0MAakFHOau9BuJ81jyKx85cqVQnhqmsdYa35lz9xNze9o0Zp2mCgML833aLz5+eefhcVtml+mVGIBokc2sRBv9COgFWhK9KOgg7FIqOgfREjmU5pEPx76wcRP+kqSXq6//vqr4HxIkV/IuYomOLRillSiHyeJDlqJ1RxE2KpVK20R2rYknw/a7SBBQS8yeqHRxCmpEHZ0fzTgxk8koOh+NIl2Z8gsjSYLtkj2yjypgx1ppUaTKOqHJsKZPm/9PMnpB+aekJqGKf0O6LdI3EkYkkMwhaa2hQM6czfOPTEuNNZpwoen9bFXE7aSXuS0S0wrt2TypTlYNLHfKY3T8Q8ipAUk/YAkPA4k/s5LKe4pNQ6khzEgpZiTACHnZxLwNB7TvIgWXDXnnCXnXacpY8/cTc3vaJ5HZ62Q8KDFH5rP0rySfNCSCoxkTX9QWRYg1hLk8kyACTABJsAEmAATYAJMgAmYTYAFiNmoOCMTYAJMgAkwASbABJgAE2AC1hJgAWItQS7PBJgAE2ACTIAJMAEmwASYgNkEWICYjYozMgEmwASYABNgAkyACTABJmAtARYg1hLk8kyACTABJsAEmAATYAJMgAmYTYAFiNmoOCMTYAJMgAkwASbABJgAE2AC1hJgAWItQS7PBJgAE2ACTIAJMAEmwASYgNkEWICYjYozMgEmwASYABNgAkyACTABJmAtARYg1hLk8kyACTABJsAEmAATYAJMgAmYTYAFiNmoOCMTYAJMgAkwASbABJgAE2AC1hJgAWItQS7PBJgAE2ACTIAJMAEmwASYgNkEWICYjYozMgEmwASYABNgAkyACTABJmAtARYg1hLk8kyACTABJsAEmAATYAJMgAmYTYAFiNmoOCMTYAJMgAkwASbABJgAE2AC1hJgAWItQS7PBJgAE2ACTIAJMAEmwASYgNkEWICYjYozMgEmwASYABNgAkyACTABJmAtARYg1hLk8kyACTABJsAEmAATYAJMgAmYTYAFiNmoEs+oVCrx8uVLeHp6QiKR2KBGroIJMAEmwASYABNgAkyACaRNAiqVCpGRkfDz84NUKrW4kSxALEaWsMDz588REBBgg5q4CibABJgAE2ACTIAJMAEm8GUQePbsGXLmzGlxY1mAWIwsYYGIiAj4+PiAOsHLy8sGNXIVTIAJMAEmwASYABNgAkwgbRL4+PGjsPgeHh4Ob29vixvJAsRiZAkLUCcQfBIiLEBsAJSrYAJMgAkwASbABJgAE0izBKyd+7IAsUHXWtsJNmgCV8EEmAATYAJMgAkwASbABFKFgLVzXxYgNugmazvBBk3gKpiAfRCI/QS8uAzkqQ5IHezjnvkumUBaJHByJnB8CuDuCwwJ5t+jsT6KiwIOjQaKNgcCv0qLvchtYgLJJmDt3JcFSLLR6wpa2wk2aILdVPEpVo4zD96hVsGscHXiCajddLzmRte3A+4dAOpPBqoNtLvb5xtmAmmCwNu7wB8VdU3peQLwK5MmmpamGjG/DBD2SGzShIg01TRuDBOwloC1c18WINb2AABzO0GhUEAmk9ngivZZxcfoOLRceBaACoFZPfFnp/L2CSKZd739ynN4uDiiQbHsQg3Ozs7JCp2XzMvbptgEtaObV04gcz7ALSMQtAso2wn4ej7AYbBtw5lrYQJJEVhYFXhzW5ej8UygUs/kMYt4AcR9ArIWSl75tFxKM15p2vjjDSBj7rTcYm4bEzCbgLlz38QqZAFiNurEM5rqBIqVHBoaKkQK4JR8AtFxCrh9fiFU8F7lhUw+PjzfNBOnXKFE6MdYIbevpwucHaWC+MibN68gRL6YFP+Frt/wgdeATHm/mFvhhjKBL4qASqUT+HOKAh/FsVibkrPCT3VODwDiIoEBV4DMgV8UEqONVSqAB0cBVy9gRcOEWYY/Adx8UuY+X1wBwp8CxVqkTP1cKxPQI2Bq7msKFgsQU4TM+N5UJ7x69UoQH76+vsiQIQMfVmiCaWh4NOKUSuT0yQCpVHewY2RkBDyjdS+9t275kNXT1Ywe4iwxMgWevI8SQDg7OCB3Zjfh8EwnJyfkypXL9s9kyBngxiag7njAPXPyOyB4H3BtPdBmjWhjnpQAab0cKN6ad0GST5tLMgHjBPYPAy7+KX7382PgV1HoH1eUQh2H6+Ln4z4Alh5GdnsHsKWLWD57SaD3qS+7B2IigBm5kr4H36JA33O2v88z84HDY8V6v98G5K9n+2twjUxAj4Cpua8pWCxATBEy4/ukOoHMru7duyeIj8yZrZiImdGO9JBFoVTh9kvRVjZ3pgzwdHXExzdPoYADouQS5JK+1d5miDIb8uT0Sw+3neL3QLtH999ECtfJ4OyI/L4eQthoEiH58+cXhIhN06yCwKfXQIk2QO6qQGAdIGMeyy5xcSmwf6hYpkADcWXvbbDJOqb4/YEnIQ/x6+iRyOj+Be3umLwzzpCSBGin+vTFiyhUsBB8M6bQCnVK3kBK1U27FBP1eGQKBMIeClcrGbMUN1x7iFf+KQjw9resFZpxQlNqXNiX7cz+zyzg2OQEDCJUGeAt+Wz4uTX3+vo2QKLQ2QP4agzgmQOYld+w/sHBgFcOy/ojsdwqFZSLa0D6+iZQoCHQYbMuZ9xn4PwfgH85drS3De0vphYWIGmgq5LqhJiYGDx+/Bh58uSBm5tbGmht2m7C+0+xeBEeLTQyd+YMcFZEw+2j2onPSNNVOUrbfvU+bSNKVuv0BYi7syMCfT0QHR2NkJAQwQzL1dUGO0kfQoB5pYy3z9UbGPHU4Dua8B28FYoC2TyQ39fTsJxCBkzOkqx71RTaV3EtmjZpblUdXNh+CJzcvxG1LvYSbvh87XWoXLtZ+rt5+l2t+xZ4dAIo1hL43yrT90jCf24Jo/kaeu/B7A8DUFwaArRaCpRsY7o+/RyTsgBKPb/IDtuAAl/oyn18oaa+zx/ihuKYsixWl7iBWvdnGPJJjtmaUglMymhYT+1RwIlpCdkPugX4BACvbgB7fgSKtwKq9Ldslzg2EspNnSF9dFRX/7BHup3tjR2A4L2670aHAk5WzHWeXRTro3tyssF7ybInknNbQIAFiAWwTGVduHAhZs6cCTKZKlasGObOnYsaNWqYKpakE7pGgNhskmeyNV9uhojPcXgSplslIgHiGBsOd7Xfh7E7C5IEIn9WD8GnIdXTpzeAIg7w8k8woIdGxICsx3y9Eg6g0TIFFAolPFyTv+sgUyjxLOwzvNyckMXDxeStR8fJcf/NJyGfRoDY/Nlc+pUYIjex1HkvkFf8PSmVKtQZvQJ/OM3HOkVdjBj9C7wz6HgoT8+H9IjanCBefdNl3yGjJBK9HfVeekau+Ydbb/Qb/otJNpyBCRCBu9OqolCcnmN1ciaH5qL8HAaE3gDy1Ta3hEX5ImNkcJICrrIIgCbGHlnF8vFNGFssAkq3N173m2BgYSXtd0+VWQ12oMfLOuN5gY5o9nA8WjqcATyyA0Pvmt/O3QOAK2sM85fuALRYaH4daSUn7QJMM77bkCdmvbaV/zj/aMCQvqjhuA6nxohi921krBAo5MrTDzgc9BojmxSGi2O8aI/6plam7j9fHeD1LSBKZzmQaARBCnHu7K57l9Fzs7MPcH1DwqtU6AE0nQXcPywKWv1U6jug5WJTLUv8e80zWm0QUH9i8uvhkilOgAWIjRBv2rQJHTt2BImQatWqYcmSJVi2bBmCgoIEG/mkEu+AWN8J+iv0mtrIBMvh81t4xL0xuIDSLROk0WHCZ+9VnlB4+sPXS2/F5eMr4FMo4JMLyJBCZm8qJfBKbfucpaA4cKsTiYM7rz4K/yvu523gx0Kf3XguBiPwdnWCn/IFJG4+cPT0tQhi0KuPIMdyB4kExfzVkaGSqCFVBMiKRsBTE7bNtYYDdUZh8aGr6H1ON/k63egQqleurL2Dd7MrI0vkHYM7Ujl7on7kWDxQ5RQ+H++4Gt85HENX2c+oKAnGDVU+rHSeqS3zSJkd+SZZMCGyqAc4c5omcGMzsF1tGjQ+3OSK774br5B5a0tUluo9cyklQEh8qH0o4OgGjAlNiDLqPTAzH1C+G9BsjkWo3757g+vz2qC09CGySMRxCJX6ABcWGa+HTKq6HwEyZNJ9v6s/cHWtQf7Zsm8RikyY6ST6gtSKnYPFA/+HoIXt0dpB7bthDrPXQeL4vLaltv7ucUOwzHk2kCkfMPCqRfdr08wfXwKn5wK1RxjyMHURWnihBRh1+kdRAjUdbqJf3EDsU+rGNfq6X608GHahqmGNo0Ox984H9F9/BYDO77FdhQDMaF1Sl1d/Z5jEBY2nKxuZal3C7+Oby11dB+zqK4ZS7rAVmJn8YAAKSOEwPsz4b+74dOBkvF0gAP+610b5qBMJ26nxKyIx/Pk9VLmrYsPFZ0IglXpFs1l+3+mxRGwksHcw8PVcg3lIatwqCxAbUa5UqRLKli2LRYt0g3SRIkXQokULTJ8+PcmrmBIg/94MhmdWP+TI7AVfPadp8ndw0HOyttGtWFWN4tNbqGQxcMwYYFU9lhZ+GR6Nd5/EKE2alDujK7wjDCeh8MkNOGUA3uo+j3TNAc9MYmhZ0ABNKz6a5B0gihBbh2clZ0NNfHdqk97LO06uQHCo6G9BAiQ6NlYwE8vg6oJXEdFw+/QMLpAhFk7wkYiO4chR2rCNdB8SaQJ7aKpnx44dyFdeN3kP9FLB2cUVTi6JbHvHRSEuJgrBH0V/CKM7IM5OAEVvcUymz8T7h8DvZc3r9gkRODutCarGndHmP5hnOBp1GSX8P/z9W/j8Ltoz944bhINKvfMGDK6gUnPUtTmf5CUmOq5CDYdbeKPyge/EJ+a1iXOlHwIUgeivVrr7yVoE6Hc+0fujxY8i4w7irEt/+EnEhY3nkuzIOT6eeH17D/jwWAyKELRTrK9IczFAgqnxhQTFkzNA/rrAPzOB078Ztmfse0AeDSjlgEJuaM/f8yTgV9rs/pFNDYCTTC08EinVNHYq9rmMNvz225WAf1nR12r11wlKVohZiLfwQUPpJWHh519VYYTMaIoyIzbgqmtvIf8Nt4rINWAffDIkMo781Rp4cMSg7gmyTtiqqIlrrj3hCKUoQEiImJPePQDWthD7oZEREyRz6tDPMzEToFKIn5ghXIV8smhgqvr9A2CtvB7mylujoPQ5zimLGggKzaU88Rk3XbsbtC7cIQt8FO+wWN4MM+TirlSZXD7Y0beamC++g/vI54CLp3j9f2YhVqHEiVP/oKHDvziqKIO6DkkIOc0OhqYFSQX3ADBD1g6LFV/jvEt/ZJd8MEr129hx2OoySfhO3vMUHP30hBN9eOIX42ZiSfVR+81iiOatPwi57rc+jPrrxN2c4MmN+CwwAjGB/LNUIkVzFgAs/U3Qgi7NoYzMDViAWArTSP64uDghOtWWLVvQsqVuVebHH3/EtWvXcPLkSYNSsbGxoD+aRJ0QEBAgOPV6eXkZ5P3w8RP+vXUPvn45IVF3YNEcXoLwuPlCdLbOl9VD2HZNiRQrV+D1x1gEZHQz6SsRG/MZLmHiSzfOKw969v9JiN61c+dOIPIVEBkKxFvtt7rN8jjBWfmV0htvPyuF6rI5xcBTHoYMEh3jOCcvOHv5igMupZe6wfWziy8yZFY7P4beMrQpprwOzkC2YtqmdunSRXdfejdw4sQJ1KlTBx8+fICPj+h0SUEE5s+fj5UrVwrBBMhXokrlihjT5ztUq6CeFDi6YtX+C+jatSsaNmyIXXv24e5rUYBkdYyBX44cOL7lT+Sq2gJOqhgESN4ZYOsyaDxWb9kjfObo6IhMGX1QsnAgvmvREF0GjILUSWdiReGcM2bMiLtvRT+ZzJKP8Je8F9uarQQcHHTPkSBWtm1Fi8q6l/knlStCnQKQ30eCmPBQPH4Thbyv9sH1jHpVqmQ7oMlMvJe74FJIGBoUzZ5gBydBn1/9C9jVT/txnph1KCJ5CilUqCu9gsFOW00+Jifc6qH28G0Q/ELG1Udjh0tQqiQoEbsMUUjanphM0HrXyod2FXNh1qG7aOL1CBVPfC9c81SHB6hRQG1+YrIVnOGLJ3BwlOgQaywNuQt4ZgdCTos26jnKIE4JFBxzAO6Ixk2X7pBK1C9ymkSNfgtHJ/VEOvI1MLtg4niaLwDKdgQEs0yZoTN2vAlqshjXHQcU/hrIWpDsF4E5RUTTKTqMc3kDoOoAIKAykDl/Qv+AeBeUqRxQKHY1jlW9gTxXfjWrOavkDTBBro5WpS4xsG4BDK5fEHlG7EOIq86Mq3/B41jQXlyM+Pt2KHquvYxC2Tyxr9xlOB6bkOB6GhOlTc6TUEmqDjJh7uT/5K/A8alinZrVcvJFW1YfaL9RdIw2lUhYkrM2vVv0J+LGhJ9mZ4rqJOFZ9Bvg93LA+wfCVaJVzigSa+hXQyKNUsWpR/Am0nCR7ZpLD90ilF47/1Q2x7S4dqhb2BfLu1QQv9nUEbizW/jnGnl9jJN3xeQWxdGxcm7BpDXfqP3wQhTqSy/jkLI8ykvvYZWz2L+BMWtBOxM/OBzEOKe1iHDPA+9h6h18EryTE7cUaBk7EVdVBYSAMJExcoyu7Yse5+sBUkc8yvoV/nqeDSsVDaGCVPscXKowGxWadse4TWcQE3wYg3v3QvZFhU31RMLv6d1NZs7qdL/sGNQ/S6IO2NCjMqoEppCFg+Ut/e9K6D+z5v5uzG0tjZWrxOdXiH6nv0tqwRl4iV2Oo2DRXPblS/j7++PMmTOoWlW3NTpt2jSsXr0ad+8aroRNmDABEycmtE00JkD2XX0C5+j3BgIkk7szpBKJdsW/cHZPOMe38zTSY2TaQ2Y3To5SOJoR7lCuVOJuaCRop8XNyQF5s7jD0cG4r8Sn6Fh4fAjSXvWTc1b0HzpGN1HXTPhpVT5HIo7G5j7U+vnoRF3ZZ8RJXBCs8BO2VrNHJYx0FOdb0oCR7HUwnBTiJPyTS3Z4ZM4BxEUB7+4ZbwXtMNAqQcxHdOk9EOFhYdi5fCZAOyQuHkKZ+AKEJsNt2rTBkSNHMHP0ANStXhEfI6Pwx+pNWLlpD7Ys+QUtGtURyq46cAk9eouT8L379iNH0QrCBDxn5E1kLFpLECC1qxo/OJEEyKvwGKxes0YQPK9vncTB42cxfcFK1KhUBrt37oAjiRBamSPzDaUCt2OzIFDyEq4SnQNnlGsOuGt2gmjdjQTIhtVoUdO4A2mMXIXHL94i75khcP30zIDbBL8lWP3IHQPrFkIJf29ExsrQsoxo+qRNNNFaWFn78tV8rm/zTJ81kZ7HQuf5Cfol2LEQvBqMgt/+zniozIFc44Nw4uYj1N8pThr2ZOyExv3nIf/oAwZlb0xoAE8XRyw99QgbLz7Dhp6VkU3f14YmgbMKCGXWlFqPTi3VA2hynk8uY3sCNJmnoAS2djANewzM19spIPMm2lVIIgV1uokmf95EVektrHeehueqLMipXiB49vUmBJRTm7dcWQvs7m8+iyJfa80/Y7OVhcv+gQZlY1VOaBI3DUddhplfp4U5Y1WOcJHIDUrtUVTGn/JmuKnKh4UdyqJJiRxA0G5gc8cEtR9WlEV/2UDEQhRho5oUxrT9urF5S+8qqJAnE1aeeYwb+5bgN2fReqBYzHLcntYS+K04EPkStWNn45UqM6679YGryrA/psraY6miGWoVzIqMD3ZgrrPa/6PPWYNFI6Fi+l2vagZ4+QEdtgAOTsDv5YH39xMnY2pFWP9AxT7ngEVVEtZFYXM77wEcXYHp8aJ89T4DLFbvUNAcTdYDmxV1UC1/Zpx58B4aRtqxccS+BPXrizf9LynCWJmCebD6h4qALAaYKpocUUStUrHLtFk39ayMLJ4uqDvbcKHUGBQSKFddesJBosLnfjeQIWtuqN7dh2SBkXfTuA948iEatWaegLuzA6Li1DtDZDI1ph5aLjyDZ2GG/TnHaSFaOZzGubz98LH8QDTcIh4uqYQDpFCX1zuv6X+Lz+JSyAcMdNguLlT9eAMl5gVjimIuvnGgQ4cTJlrgorSoQzk0puf3P0pH77yGUgXU/69NweaX0VljGBEJJvGQr0/4EwjWJfo7ufF33Mp0BL5ZYFAdxUvTIwAAIABJREFU74CYpGs6g0aAnD17FlWq6AagqVOnYu3atQgONpwQW7IDcjr4JaLDQg0ECDmV5cmSAQ/fRsHbzQn+Pm5QqlSCA5qXqyPcnI3vhjx4E4nPcQrkyewuOB9Tokly+GeZ8H9j5lxUJ5n9UHJ3cURgVnGyrZ+ojoiX9w1WYj47eqPvz5MQ/iEMO3fuAl5d0xUhO1FZNCJCn2DYpNnYuWsXyKG5fPny+O2331CqlE6gTJkyRdhBoIhLbdu2RZYsWXDw4EFhZ4nSpf1/YdSMBbh66y5kcjlKFyuI3yYMQdkSRbTXu/LBHYvnzcKuXbuEXSYKGztt7DDULVcAOco0wB/z56Bj156Qf3wNx08vsefvk2jXdyRCrx2Gp4fON0NTYZefJiA84iN2rpgDlYMzJOrdkfgChPyC2rVrh11r/kDzuoYvptY9huLkuSt4cnEf3DO4YdWm3Rg0YRbafF0f14Pu48Je0bkyPCIySQEigwN6DBqD95/l2LN3v9hECrGoiMOx0xdRt21vLJ05Ft3biztzEv+y2LF8tiB84uJkGDxxNrbtP4YPER+RPWtmdOneCz379EXVihXw5InO/Ch3zhwIuWD48ktKgNC15Cop8seSHbhokzzz25L4X3k907y/xwJnRWGhcvXGVkUtjIj8nxAyOX6iF18l6R0sddbZs3/sHwwPV2dIZ4k7NIdq78KbC1vRMVpte64XppKe0Xef4oTfi1kBB9SrQv961UP5wdtMDwKcI3UIXFoO7BssXstC0yKTDVxQEXinXiyiaEr5agFk0z8vnilIvIrI/6Ca9Ba6Oh7CLkVV7cTnpkd1lGjWDzg1G3jxr7aUTOqKzXHVMEneEX2z3sCPkZb5aFBFD1T+qBc7E4UlT3HQZUTCW2u7DijSDLizF/jnV52/mUkIugyahQA3xCBXFi/MbV8RjeefNqjhzIivhPcPbm6F6uSvkGj4aVfNxd9ynUJZsbJrReFdUmX6MdQokAVrfqgoLHJQ2PSm80/jrktnuEhkaBU7AZvb+sNxp9oHJ16byfyrk8Nh+Eo+oI9sEHYNqo9T999iyr4ghLh2EHNXHQg0iBfOls4LoXNDLEkkELIXN17CBpH29CvW7BI1LZEDf3RI2hx11ZnHWH3uCR6/i4IL4nDX1XB3SVPv9zn/xl/dKwFBu4DNnYSPi8cswydkMLinP9qXRT/BfyTx1KVqHgxtWAgPplYU/IM2+w5Cm74T8Wljd3gEb9EWfFagIwI6iBPNkHdRqD3rhLDgExlrKGbjX+ni6Lp4vHUcKj1Zgs3yWsLv41Y8M7Ml8qaYLu+AI4NrCaHg2yw+h4shotmjZqeIdtRqS69pd2/iXydS5YZnKl+crb8T3WuYaapnyTNjRt6wqDiUnXxYyLm1dxWUz6PnP6Vfft8Q4NIycYeSos6RORP9rm2Z9ENZkwVDqyWW1X59E7Cjp1BGla04JL3VY4R+6G1NjaNfGywc3X/2BgVzZTNq/WNOI3gHhMyNLDTBig9WowLvP3uN/DkNnYn1Iw09/yjH5zg5HKUSIcQsDd6aFPFZhmcfxAhQRRyew0ElB5w8gcx5tao05N1nfIqVwd8nAzK6iwLkY7QMT8M+w9lBKoQz1a9TUzdFRHnyXqy7dIBPgt2WGJkcrm9vGtxWtMQNfX6ejPC3L7Fj3TJIYvVsin2LQPU6CDVadkMmHy+MmzYb3t7eguP+qlWrBFOlTJkyYd26dejevbvWsX/jxo2YPXu2EPZVI0CObF2B0FcvUa6kKDhmL/kLe4+cwv3TOxHj7ocXCh90a90YsdFRgrgJDAwUAgM4qBRoXC4Xev48GY9ffcDBXVsQFx0FN1kYWnUfAoW7L5bOnQZfiWjmpp9oxyH8Y6QgQIRENuJOrgY7IDIHN3zftjVCHt7H3eMbE9Rx9tJ1VGvRFauWLULnxpW0AiTo+Dbkr/YN1sybhG+b1UtcgGQtBHJAjXz9EAMGDsb7T3HYs3GFeHaGOsWpHFGxwbfwy54V+9f+LnyqL0BmLV6Decs3YfmyP1EoswTPXr4W/nzXohGC3ytQpGQFLP9tEprUroyXkmzInsVba+NOdb2TueLOiwhcP7kdLz7JsVlRG10cDmKsk7jCRKlN7FhcVIl9U8DXA4cH18L+k2dQ4mhnBKjPZLmoLIT2caMhhyict/etilYLz4JW5or6eQn+MP9bLDqnl5Q8RAHJC6hKtsOcdmXEi6jFwlx5K/R22CPs6nzMWQde3dV29gnom/4gfH5N+IRdx0GXBmg0UvdyNV2Sc6QYgUTClGLoA12UpuRenPyxaCWQUp0xQC29nQUTJib6l9yZpSfuh8kxTLnCeEuG3MOqG58xYY+4W5zZ3RmXB5cxy2mXVrR/ctwqCJ1ZrgPR4PshaL5A9IP6tXVJtKmQhN9dvIhU+o07pyiKKg663Wv6bpSsG9Yr6ppNk3YgTt7Ti5SkV1IzMUysMlocyDtyP1Y7zUAthxsYJ+uMSU6rjWbfraiCgbIBBt9R/ecfvUe7P8/jzwyL0EB5CijaAmhjWEfslp5wub3J7HvSZkzMLOXmVmBbtwT1XVfmE3xSJjslEqKYxBFZAcQrWy1mHnz8ArF3QHWT5s6ai9JkW0wqSKAyMGOiT6dmmobRA/tBNbckJOFPsFLeEBPlndGpSm70qJEPNX49niiPgtk8cO+1GPlQvw+vrhuLMvfFhaOmmI990O3O6e9er+xaQTiL66vZJ+HqJMW0liUweLPabEvvqvPalcY3pcWdoRsHl6Pk+cGgd8ILVRYxOppeKhGzDJFq8XR8aG2M2HYDFx6LAmR55/Lotlon9BPbGdJUVzZmMRb3aoiKeROZ/OtfODocODoJKP9D4oLUgifr1osINPtdJ+YfTG0sWpeQSTn5idFuGZ3RQoEk4qdCTYDvjEQWI9PK2AjAxTvpAz3JV5MsIchkkHb69edmACaVPYMVZ5+gfaVcmNqiuPFnkcZisj7JnB+KWQXhEC2acZtMelHzaC5bePgOPJvbhgWISXAmMpATerly5YTJsiYVLVoU33zzjdlO6AGDNmNZ9xpoUEznkKYvQJycnXH3VQQ+xSnRZkniTpHW3ktS5Xf1r4aS/t4GD2V4RDh8oh4LNqIyrzxw/fgIMjiix6DRhhN1TcUu3jh29DBadh+KN9ePwMXDR/QNkUiE3Ymff/4ZPXv+n72zAKsqaeP4/9IWIiqKCoqFgd3dva7t2rXGGrvqrp1gd67dHWus+tmxdnd3Iiomokje+z3vHM4tLnAv94II7zwPz7owZ86c35yY/8wb3VG2bFmxK/L335ptu4oVK+LLly9qARLid1M4EsuFTJDSFaiKGXPno3TNn3H62BH07tACd+7cQd68ujbYYS+v48rVayjfqDOen98jJurvPnxEluJ1sXDddpQsVwG5FX46viR0HhIga7ftgYO9xlFSpbCCMiJC7OS8//ABvl8VaFytDArky4v/LZIc6x4os+Ib7GCLCLz/FIhKhTwwYNhITO3dRC1APt4+jmGT5mLbniO49d8/+PL1m7QDcugQqnplluzDMxdSO5d/9n+BP/r0xvvAb9i1TGOPTXbad1TuGNSrCx7evYWHRyURpC1Aeo+YhrvPXuPggQOwenM9yrDLdRvWqSHaUkIhzMLyKnxhBSVuhbnC388X3v/542uEFY4PqoZRWy6h0b1B6uzG88N/xpTwVqLtugUzo3t5VxRfo9mdIia1QyeLD6dcopuwUNhg+YN5ZWQtdZLAexsGw/OeXtjGIS8AB11/KlOei/eHZiL9SW/sVpZDXe+9iS7YgynXEu916cN3ZTXgUQVwljJcx0uJxtRHnGvwMyBFHJP/aQuMXDWA9tsMdp8myiWGboQdwvARaTDRdqkwF9Eu3/64g3v+X1F0owGTlKLtgMbzsPTEY4zbrQmCQSu/FFzk5MHt2H/0qHriSpGQrqpyiQhRXUIHYsJvrXD1+Qds2nsEA9v+hFoFXVFmwiHho0dFPYmJ7NDRe/5iYal87gzCjPbN52CUn3TE4LUVVTwU7+xbKk2yzwfj6yGPnvmifPDi9iWEb0ZMhXY5yJeDdh1jKzSRHmKzPkpo7H6hveBh9Rp9baQxyR+8HN+gCU1Oq/LePxfE5+AwFPY+oFn5zuQF9NSavNLK8YzofQiWh9dFpzzfYPXkGJAmC5QZPWH1OHJy/ushwC3Sj4I6Qe9g8lv7Xz/RJzq2i80+9SVStK+5EU3RsEgWzG3pBfjfARZFhuMv0hrPK8/A/CN3MPF2TSgoGiKAiiGz4KtyQe0CmbC4g2FTW0MMaVxzDYvc+Y6scPivKnDa3BTp357DTbsi8Oo4C1gimfrS7tHE3u1QOJv0rFAepd/WasaRzIEofO+0FkXQvISeyWxk+yH+D2A/P2ofB4Z1xz8R0YeFpvd6v41X8O9VP9ES+f+QH5B2eXP3DDJtjD4ql755bmz3lbYIua/MirxWL9WHtA4djtv2RXFtdO3YmpFyoFyKFJSxmeXF3hpu+Aag8d/HxPeUnjsySRPh8FfUl4JNxFbIXyksSGPS12W/5OPz1V9K3ttsiW4L9/YC+4ZKeXsWV4mtdfF38hNy+WUu6uqbqQW8BM4vBk7NAnJUQpjvFdiGS0LV4D3a/y6sZ2o9e5GWCSpvJwSGKJF2UiALEKNGJIZKchjehQsXCjOsxYsXY8mSJbh16xayZ88eY/PyDggJECv7lDqrDUKAPH4MjywZ4BCZz8LfwQOlpxhxk5p7UQaO39yjLDwzO+p8VD75+8Ip/C2CrdPA2tkdtm9vidDxHf70QWBAgGanQKu9qQtWYciEuUjhEOkgTb4h5IT37Rs69OiDOTOmwd3VBbNnz0aHDtLWMflo/NmnB46cuoCr18nMKAT+d89i5NQFOHDqCj688xc+EEHfgjF07BT80rEr9qxbhAXz5+uYE6m7EemXUqTmL2LVf0ifzpi5eC3mrt6Ga7fu4Unkrk9hqyc6JEiAvHztjwUTh+r8fuvl1xjyx294+vINApR2QoB45s6Jvcuk6CrXlZrJ2edPn4QA6T/cB7/99hs2b/4HU3yG4eStZ/gcEIAGFYqi39BRaNOqNfLlcMV///2HqlWjvtwD3r9B357dogi920p3hMMaA3t2wcP7d7D98Bnxsivk5oxZS9aieb3KOH/zMbq2aYr06dOjdu3a+LlCAdSuojEVkwVI9ToN8MYmCyj/CBXadyNXW1V4KMID3iCnhwfSOUqmeY/ffkHDuSfRxOYUxinn4KYyB34Kla6fVlTaXWmLAlYa065KITPxQqUJh3h2aA1kTmta8qhPb17AaYHGTEJVdSgUFAbTjBJxexesN0uO6E/7+CFHhqimeGY0n7QOpQACNCGjYoGPc7RwtJ0lKd/DVc1OG2jCSaFgyTn83QPhqyVWmcO+ArsHANlKAoVaGA6Nem8fsOEX6bTtt4tszGvOPMXIHVJOD5qgpLSzNjgZb2n9H6bYRn7sc9cE2m0VfnbrR7dEBxvJxIKKf+nBcKkvRWlbdOwRJu7VmOVu7VkOJbI7C2dsKmRSQxHutMOplvFwxqYe0rMZGq5UmxHuuPoSfTdqzFtvj6mDlHY2WHfuGYZvl6L50e7IoK1RFxj0OefKmEqY9VIh8bDm1zLCRJd2J7QLOYTv718ZLRedwfnI1Wf9toq7O2Frz/JGr+TTRHr+qE743UZ311Ky19fs9NOq98WnHzBwi3Q9O3pXQBE3aTJdc8Yx4O1dHLIfBJW9IxRDI/3S9HbOtkVUxLLweuooXiRy/lVW1LsEFS6k7IuMysiAH2QCU3ucVIfupwuaCV730P44q8wvxBO97/bohc2l3aElHUrC1lqB0TtvYfUZ6f3XzWYvhtusEX0ZGy750GzvVR7F3PWSBOrD1ft/uh8oEIJcaKJ//MJlVN4tiQ7tQjyfTtI14aExpLG0t7HCnTF1ERweIe6hGIte1KvXqnQI7HUDHZefh19AsMFDY9sJEwfRczvJ8E7e1LCWGDh+CeYffYgp+6IPj04mgXT/brzwArWsLgqz3ZFhnVDZ6jpqWeuamVGY43kT9Ez1KCytHKxGvhJtM6W4vOPILNrKVgoCERyAV0cWw/V85P0kn8O9PPDcsN+KPlBVo3lQaAVuiQJcDqhAfyAzUgo6EUuhRUtbhcZPR11dy5RZ/G6SuxRRTa+QXxqZUGqX6XnXYe51BXIrfMVzKUq7rUD6PMK09XOIigVIbANj7N9p92PKlCkiEaGXl5cw+alcuXKsh+sLkPvj6qk/MEKAXD0Bjyzp4WAjvYhV1g74li4P8O4REBa98hSVyTGIVgZpsvjuIT4oUyHUwQXZnHUjA4WERYhEc+TcTv4kafFVbSJDzQSl8cDjAJV4STmmsBMO6XL5/OoBHFVfEJwiE+ydXKHyuyaiwUQxVdIiMXneSsxevhnHt0gr18H2GeDglAl3X31GmrRpkc45PaoU8hD+H5RfRQ6P23/0NPx3+iKuHpRW9Ou3/x2v3geg658j4ZrVDenSpELLBjUwfPhw9OvXD3PnzsW0adMMCxB62X14hLnLN+LvFZtw78R2FK7ZEk1atoWPt7fgQFulVFJCWmWkXYDxf3ZFwOdAzFy6XqzOyeXo6Yuo1qI7Lty8D7u0GdG3Sxs8f3gHj05uQ6AiDb6lyobXn6WX89WL59CxSV0sX7cJJSrXxo7N6zHVZyhO3XoOVycHTJg0GeuXLcTlSxdFgIPoBAjdO390bacWIG9VjsJhkwoFGmhSszxy5siOvXt2RwYgsMbGzVtQtnpduKZ1QHDQV+zdu1c4ylMUtxo1amDr3BHieFmAVGn2K5wcHfE1JByP30WG/SXLsxRW+OT/MkomdDIHtP/2Gg5zNaKAHFK35/TB/GdSeM7P7jUQ3GK9TljpWB+UGCq82jMZGS9MQWiVUUhZta85TUnHUmSbedKqZwUsxynvZua3mdhboIn7sclApQGAi5ERZygkKoVG1S6UF+KPmO3JTUZxdzewMTJSkpzt+tkZ03MYaGdgFg90BDBGywTDOwB0/xYZcyDGLlIgA5rg77omreZS0Z5gnXzwDlOXrxMO2HdV7siYxh4fv4aKsKgkNhYeexRj+04pbYVwoF2Gqp4ZhcN3dJPCX1dewOG7urmOYmqcTGFoMaDrqgs4dMcf2t+b6I6j63n87ovYSamcN6PaF5D+nyLBzz78ABTkZEBtT6NFh/65mg6diW32mihXZJL0ElIEuhYlsmFqC41v4L9XXooFkdalNTm2Zhy4hyVHbuKOgxRyVR11RzsSD+1ghw7CUWVR2CJcRC/7hMjIiHodirIj0+M4kLkwoGfb3jXzPzj0VDPxMlbw0enIv0be0RndsAA6V4j7DqI8FmRGTf6euefr7mAMCeuKmm0HWSb/BWUbX1ZLTUzZ5zKsMki5P0i0DtpyHf9c8lX//dGE+sbvIuuJmym518L/zgnUat0fdbwkp3HKu2PIZyVH+pQ4OrCa+FYVHL1f1KVxpl2G6em2odm3qBEVr3d9pt4Rwpl5wH5poUBnMWW8q7TjoP97Aw/MQ/8vmLDnDn6vnlsSk4+PAqsbxfi8x/THO2Um4XZENvie3abeCVSldYMiQDfwi04bvc5p3uGxhEh+q8iAGaGNMNF2meFuNJwDlOgo/U0vX432AWQi+hnSvJCeV+3xp9+pd6PqTgZ8LwA3t7AAifNdYcEDZQGS868tiLBxwMnB1ZAtneQkFvzqHp48fQqPrBnVAkT8gZLkUbz1yEKmLGQakN0q8kNEuS4iHxilbWpYaQmVx7Z5ROhedYkIE5Nt39dv8RkphS1pQa1VarneS+tseB8mbafLW7h0XKjfLWF3H5bWA7apnKB8eTVWAXLw+FnUa/c7Tp88itLuqRBklQYpMuVShxamc3RrXhelS5USIkL59T2sAp6jUpMuCPwSpBYgafJWxPDx01C/WWvRr5BPb1G6UF4h/kiAUAjk6tWrGzTBovqqD4/x6fULZClRB5OH/YH+3tNx78FD5M4pfQg+BYUKHxntMrJ/LwR+DsCsZeuQy/YdUkVIIXNlAfL21nH4ORbC3n+3YMjv3bBzxUxUb9gcqdJnA0UW8/8cgt5d2uLE8eN4/OQJngZEYPfWjZg8eoiIGibGPTgYefLkQZs2bYSojU6AfAkOQ58OzdQC5I7STbxsqby9dwk1a9bE8uXLRYhfKnIeEMpPo1/279+PunXr4v3N/+CcLi3scpTGioVz0LZLT82tolTilp/kz5M7vT2e0b3p4SHCC0cpei++GWHNNSF19VdVoh5t+m9opTO2fArGtkpmRWOklcj6IROwZ6ImTLCxTST2epeefcCwbTdFyOdbPnWgnF8eaQLuITxVZtg0/hsIDwYoGlNMZUFF4I2u/5eo3v5fIFfUFdjomgr4Fha9qY7WWNDx2mYY9M67nX06bAyYEBo8l7ZzsvbOB1Uu/AtulpmqY5ttqI0zQ6vDNW0KEbrUy3u/COxBE3qa2GsXchSWfT1MuReMWinWa1DjCxDzmeTdFlP6k1B1b9y7j0IbNKZO2uN8YlA1uDnrOk7r90verVHnY4k0nQo7twy2e6XABWSCdEtl3CTfGhF45KAX3curGXBTCkoxMaw11kbUxJa+tdF8wWkR5ali7gzC6ZsmwKXGHxL3hqGysF1x/LZWI9LJt5J2jCyZ16v92IVYEzFYnP6NygmVQ2bh5vhGsI0mkqXJ40wmPWcjTc4N7AqQ7+jem69Rp0BmpE0ZuxmezvnJ54Kyr6dxhdI2Fb6EhsPRQbeNR2+/4NTDdyiYJS0WHH0kwr6TKZN8ffffBKL2zOPqZhd5XkadZ9OiXGax4IW4MkmaP+iEUe5zCcgg5ZPS+X0soWrlZzHaABGxgD4VURC9wvpiQO28aFsoDVTpc6nN7PIrnmGvva7lhaHmItLlhHWPY9HuJsnHLE3XH+NeSc9cbasLWGynl19IPDTTgVJSzpkPe8fB+ZwmWa/czjllPvwSOirGKztgN1DHBI4q8w6IyU+d5Q+QBUhZn514FWSlExUheJoXnlSYHlWAaHUjzMEZd785gcLxkn8ByK6UHl76MVAeWHkgT2Zp21pJK4BvbsFKTp6kV59c20iQUImwssWt8Gw62bO/hoQhxbubYhVM5VIACht7dY4N2gF55vtKRKWiQiEqg2GHbE72SJUlD3q2boTPnz9h6pDfkDNnTtz77ID9//sXreqWh1PhWrj432707NFDCJDKnhmwaecBTFm4Grncs+LKAckJq2Dt9nB0dsGkqdMREPAZ08aNxMWLF0EhkEmAUKHcHO/evcOMGTOEjwlFJaOJOE22qXwNCkL3ds2xZfchVK9QCrsOntAJN0zOUrSqQYVysLRt3xHvP37Egd27oFBFIOLtPdgoQ9UC5OPtY3ibJh+CVLbw6dEMR89cwvixY1DvJ7rez5g3b54QBbTjIAsBcr6n/soChM5FdXr37i3ESHQCJEKpRKtffsGX934YP30O3oenwId3b3HtzDHMnTlVmG1RHhZraykajbYAIZHm6uqKokWLwsrKSgid3bt34+Wj27D69BR5KzVFzTr1MGrUKNjb24v8IVRoy5/24iLCQ/HkyROjBYh8a93L3hqenfV8Niz/WJnfYqSAWhjeEJ1Gr0rcSavIbMA2VczOh1pEaMJfxEezyk/mN4cDDazSdTkAuJfRZUnhah0jw4mOk1aoKbRnWoWuUEe14UCVyG13qkT5LCi0alCkWQs5ClOI0qOSiZ5H8FpcGVUnahK6y6uBnZLjcR8Mwf+C9aNSqfDIYxqsX0m5fW6ocmFUaAcstpsuIqvNDW+CptYnMM52BULTesCuv2SypJrsAcU3yYGVil+3Gyg/VyOmMqS2E5Meedevej4XLO1QMva8NtqcjdhN0YZ706dOnHI6BYdFIN9IjR8CtSkHcaDgI15ZHeO8M2H+g2RkC1qmUjQp/AhHPJlY36R+k+lc7j2tJaf6JouBIr/g6Ya/kOPeUuyJKI1eYf1Ak3+KOlRynCah4flhNZA+tb16okcmb7Jz8/maD+FyMurkigTSiAb5Y42kRD4V3VZrnKMvjagpztVmyVmcfvQeNfO7YGlHLR8TI3HFVo1Mq14ubyccuf8I7QO3Ku0xsI6RO5uxNS7//ctbKVy0EWH9jW3SkvUO3X6DrqsvisWB7L47UOGGtLuvX8KGv4Pt40PABslfUZQmi4AirYCv73SDRMQQqpZMwIeOGqwxy4zhYmaGNcO6iJp4B0ecGlwdWW8uwKr9Z4Q5nhyQhSxOSHyXnnA4siWVJtJbDG1/tXVGqsKNgEsr1LXWh1dDGxtN0IEmTltw5bUmRwpVrGkl+QPdcayIP79ORzPycav4J1BztPj9w4Wtkfu1rklm29ChuKTMi2Bo8o0Z6tpgmw3oaSPlK5PL5K8/Yci09ewDYsmb3tS2ZAHSfPYhXPALRsdy2eHTyEvE7g6eXVIjQNyL6yTQE+ehSAkZdB25xO8DfKMXIKqsyJ0lo3ixq0ICoYhMgmSw35T/ghL5+EtRUu4qs8HGLoUIgUcT0eev3yK3lZ/koEw21woFQvxuCTtm7QR52m3/3Lw1xs6cD4+01hg6bBi2/7MJbz98hEvGjKhatigmDvkd6bO4Q5k+L2ZMmYi5s2ciOCRUhKgNT5kRV69ew44d/4pJ8NmbDzFlxF+4dfMG3N3dhfAYMGCAmMzLAuTDhw/idzt37sTXr1+FCJk0aRIaNJDyO9DW9a4ta9Hklw7YvHAymncfGONHTz8RYVDAO6T8+kJHgDillbb1w8PDMXvpBqzYuh8PHz0SE3nyERoxYgTIoV4uhgQIvcwKFy4sonZFJ0Do+EYt2mDnFkmQUSJCEgoUyph2Tzp27CjEhVy0BQj5KJHZ4IMHD4RAKVWqFKZOnYpixaRoQLt27cKff/6Jp0+fCjMw+q920Q6QYHAHhMTt7r8AoEylAAAgAElEQVTw5esXnTCN33pfRYqMxq1CmvosWbS+1g4OTTbk0I8WPYeJjVG40fbLzoOcgNXBKj4+A+aVBnJWBdoYF+XnzKP3aL1EE8iiidUJdR6GKF3qdkRKyKYfSalMT+CclLshb/AqhMIW/TxeoN8radXV1PJWlRYDc2zBys56mevJfIHMGPR2P3TeKUWyYNYvRVF9+lE8jfTd0v57agThsn0P2JGN8++XgfS5dFY1PYNXqvNV0HHdK+dE3xp5ROhxcwu9X8g/gUKaf9EKRXpheE3hGO6ePqUIU2ooAqGp56Zz0XvRilaEfsCivZMTF38wCul7bX4ntLE5ApTuDtQeD0SK5K0RFfHT6J2gMPZU/D59w6uAYJTIHtXngvx4tPMH6UdUKhU8Dxv+bCy+g8YWGhvtHQ46x5ZLvqhTMLM6oIaxbRlbr+Oyc7j84DmqFsmNOa2KWuQeM/bciaUe7YxRef3oGlzXSg7YYZ4NYXtPMxm+X38z8u5pqdvlWmOlRJ36773eFyRfDr1yd/sk5Ls2MdrLLhc8F0dSDUOKiECscOoDn9eanHEkMsh3hZJB6hfaEaVr+BgUJkL3brQbi7JWkUEsyNcjcqeejqM8PQ2tzwpLltSunrCKXJS5rcyO+qET8a/dSBFCGV0PY869tJhx0HDeM+pL9cAdmkhu1UcClQfovDP9VM4oH6IJELSwXQnQQpbvp2/ovOKCuIyxjQqiTZnswuT07/3XNOaRkRfpEbAIT2e1ZgHyPR8WWYCM23YRS85JPgU3KFna50cIXt1cEiCeheHg7Co5FGmFWkXmIoZXH5ThwGsDphHkKKx0xRc4IF1KO7jZfpaylBsoYRnyw9Yu0rSGEvRRoj463toDOV3S4lNAAJyCJAftcIUdbFylbOEhwd9g/yFqMsCv6QsJRzzKx0CJ3+SXcdCre0ip0ls9JXND+1wIDQuDh1IyNaP3SM2OA5HBJROGT5GyFZNDpL1t1LwRpo7nkuWrMHhAf5y+eAX5csYcNEC/7ZAvH2H/WXdyHuX8JOQsZR6k1/j7LyF4+embmHh46UUoM5WDKfVjFSBajb3f8ifS34y0MY2LE58pHbNU3fNLgD0DRGuyMyw5aaawi9v9Rv5EPdZcQv9aeaONMBNb10uOOyieH3KKvj0mMlrMlXXAjl7SoSP8AdqFjKGQecjvPhOx3E4yR6DQnBTaNcZjhr5HqrUNgBdRo+/9L6IM+oRp/G50PpCxXZDe329ZeaJggUJAs6XS80I7O5OyiySalJDuqUqyAReOtvffosPy8wbPQKvKZCaq/YFdZzseFaxv4XOVsXAs0VztmFkjZCoeqTQJ4kh8DKsfu9OmiZemrn7p2UeRMDU2k6K4tv8jH6ctQOJiika71QO8fQwmLl2cax66t5cCSxhTyKdkzhEpQzmtDC+1my7+XTtkMkKdPYWvQWIvJHh9PwaJ76QlBG5iv97Y+hcwozRSfvOD7bAXOr48Z/MORNGwy3B4Iu80UOr5HkD9KcDzc8ByrUhZvx4E3PQWSaILEQ7gijI3KOJWbDsE2n2niJGUKmF840I6iwn/3fVH55Xnkc3mMw6ObIEU9rZQ3dsLReTODeXQ2WLnI0zg5UKWJx1DB6vfcTTvIp8cKtrPW5NiWbH9ihQlLJOjPRwCn+GYfWTOJT2wP4eMxXWV5PMjl9h2K+lc2t8Gypl0zHMkZravwAIkths3Pv8uC5A7F4+i138q4bg0plFBpHpyAMH/GyQJkGJVJDt7+iCLHQsFkEUra6+BDlKOj3efg+Ae8QzhabLBIeSdEBHPlC5qZyGvlB+hCJb8DihxnI1CKUUosEulO2H+9EJtOvFBkQ7Oqo86Z1Q5OEERGYKT1LpCO/FgZE2la1Hh5B6l0A4LRYnQK4+DHLB5zQo0rFoa1tZWWLnvEiZPnICDBw+ieo0aIhSTuSt9QUFBwoyIkhzWrNsAlPgwtZ6taaxjT7G7/W8JQzUF5QR5qwmxqT6Wki/GUyHe5ABKtq8J+ZExRYDE06XHb7NaicaahYzGJZWnWNFpX04TqtSUDgzacg2bL0qOmXGZXMkfDAWUUrz/SZEZ2s8uBPZF7jp0PSxFfIqhnLl0CeV2VTel69ifawTqPNKL2hLZwoSw1lgcoe0rErOZQMWQ2SJc6gdVGlxT5kKjLJ8w6IO0xa9TSKg+OAisay5+LfsEjG3shfZlpUUC8tEqOkYTbUo+Xp8vPSPjRvQWOWrupSoJ5xJNkPH4cJ126X+iJMs0iRJXNpcARbgi5/6N3cvGeVeg7JDVOOugmyuE+tUnzxH83baE0V3UD3FL5lY0QSMfuM4VcmB0Q2nBjcsPSkBrh/tolq7I9PkG8n85hxvKHChk9RSheerDru0GnXeQuNI2/wB59UL3Br4GpktZ2/WLqaGD6fjovg/0Hqsw6YiINLaiUylUy+ciREQmfICzIhDVq1bHwDO6JrOFgxfjM1KDdhQpglj6VPboW1OymiHBPmzbDdTInwn1vDKL8OD5XdOgmqeLMPuKLpcKmcvSN8g5lR0oqWKz4tkwvaUmSIQhDrQ7ve9zU2kXGgDl7UpfaxA6VC3AAuR7PkLqdPRD0sCxP0UviFx9O7sAwSfn4UnVBfDwKqVx9KUQaJSoJpaVTiEEtCf8lGyLQsCpnJEBAToh1yjMqtLeEeRcabCEBmmyBBuqoLfC/yXgPVJ/lXYuvqrs4a9KB49s0uqlwULmOmQ2RlG4bFLA6rMvvn0LRsNO/XD55l2EhIbD09NTmC41bdrUYsPl7e0NylhP0cooU3rq1MZvqet0gvhYWUtjQqsh+gIsHgWIxWCY2FCSFyDEQ+sjRS/dWa2Kq5NmmYhLmOHIvkRxFSBdho3FHNu/4RPeAVPHRzoDHvIGTkY6D7ZcI+WJod1KQxmcw4IRMdEN1kpd219D13IiwguVrKVQrnIJLPorCp2tofNhIkGxY3hrrDj1FH//J60YU3SfCla38FOTNui3lUJmquCEL9FGHDL4oRvqC0zURPKRP+T67B68CUQtLWdTyl9hyNF24uodGPo4MqR35AVpi6fdf1QUDq1cfmwCNCHTv58oTKxv58vRZ5yO4ZLrzT6BO6+0EunGMVzuj001CfaeFnMj3y8Xs7SFy7tzcA99iDXhNdHe5hAC0xVEmr6ndbLICwpNl0gLtGcXAI3mAWkyA1fXq/PCyKR+D+2DXUqNmdXOPhXUiUOpDkXJIv8yiuilXeQQ2NERH779Btaff45BdfKhfbns8IqM9kX1p7cogma7dIUxvTfjsnA2ce8dLDr22KAIiRj1yeSACZQs9MXyTmhhIwUGoNDIfw4cA+d0TixAvufjpSNA0mcGBkTa5e0djOBbu/Gk+hJ4FChmONKQKR2nqFlB7/FV5YBUCr1Y3S4FARtNYj1DzX4L/IgUgVFNjb6ldkcKRyn0q3Yhvw7KLv5elVo4VupE3oqp3xT15rVextR4NGEyBaGxdZWfX8Pqi/RiUTpmg1VqyVk3KZXkJkBo7NbWvY52kavvpo5lrRnHRKhrKrEJkFcB31Bu4hHhSEwrsUXdnUQYVuVoJ7G9/lmVAilH+UnBErb/BlyLzIxLEUt2S0EfUOkvoIaW82zIFyiPTYXV6VlGdT1f8Ar8brMdvW12Sn1WZEPd4HEIVtmhntU5LLCbDXLQD6oySiQVkws5RJO/g7aJkRzyNfoTq1Db6iLaWh8W2bD1CyXl6xA2FHfH1o1zMIAHrz8jz0LdHAP/VtmDxtUqGMWDK/0YBPqsv4wD15/jvkNk6FDKL6Wyg82oN3GKAEXmrbTqrF1iMzf5MUhxL4+u9EbVpzNx3akG3D9fhpPyIwaE9cA020UItnOGw7An+HZxHVL8L9LElZDVmwrsHWgQ3l2lG+DVDNtQHYsvfxGBgcY38UJRt3TqCTvdTylsrcXugVzefQlBswWn4e6cEqu7lI7RkoF8l+xsrETiQvo2zDp0H3MjTQXp/djJZzY22viIpvuE/o5efQaJXQ1TrSOO3H2DLisvwgUfcd5BEwWyc+hArJhg2Jk/tjvq56FzsNN+pKg21WM5ejSphbRp07IAiQ1cfP5dR4DYKwAK8xYeAiyuiuBvX/Ck5gp45CtkvgD5/BL44o8IlQLWWjaC4tqMmOAHh4TA4b3kjK5dQp3zws4h+kRt5GxHplIGza+iA0tmZrRCQSVNFiCNJlldfI6FxdqmyBlynG5KkmZtYhhCi3Uk/hpKFgJkam6dYA6rSu1AxwbRZ/uNiXbtmcdw/40kQGLyJTGU/E3O+Ky9I/O6/xspaePqxoCctblCPylDLZW0bkD/yB2M1zfF+wRK3URRIoP4v72Ae7sRkaMKKt9tilMOffFHaG/sVFZAdsVrYQesVCmQL2SlcDTXFGF0CGNCu1LACnK4pfxBFGHopl+AiCj3JjAkyuTO0G4I+eDcG1dP7UAc17v6/qgC6lCQt5TZkWfUVXXOpbi2ycclLgKyePdQvMJ/9pIYp2R/v46TckfFpWjbyq/vVgblc2WISzN8TCIjcGzrAlS5MQQPHQohZ/BNkay3vcMcrAn+Q/R0509XUPj9HuQ4I5lrUgmrPAS2xycZvBJKclll8DYR5ex7lfXnnmPE9muwhlKE5I9tsSu6fmp/h+pbnVX7VV2svwclS8dt0abkmP2YGjYegUiJF9X/RvsSLixAvteNIp83igDpeRpYIG3dBad2w5Paa+CRN7/5AoSc18mJXb+kdJYSFsZSovPtUGUuDAWZH1myyGZM9mmB9Dkt2XLCtEX9pyAAtFVLEXeSYEkWAkQv8dKatD3Rvr/hj09sQyyH3RQftj4VNMmv9A588SEIlaZowiXKf6YPySfvbHCCJMyvdHkqJbqaV1bjd5SnDvBAy6F85DtJ/E50B0I02Wspc7PX8JNSyFcy16KQ3ely6DglRnc9rUu7iVC5FHufirmrwSRO2i09h/NPpZC4da3OY6GdZpdmeFgXEa4yrh9S7evYf/gg6pyQfEpe9HgIN9ektzMZ232YHP4+ae9dEXmnqdVxlLS6h4nKDrgxIe6muxRdq8Gck6B8HZSt3NTV5OTA/Ee8xtP7NqL82R7qrtPibP+8+zHngeTj8Xd4I/Sx2aFzaUEFWyPlrcgdZ72LLqtYi7OjY8mdlECgyGwwW7oUSGOqT6te/yiB6sSV/2DKW2kX6EmHC/DIGTUKmDGX9feRB5h2QLLwmdysEOp5OrEAMQZcfNZRC5AJ+eAY4gdY2apXKoUAqbcBHrnymC9Agj4An55FvRQjdj/kg/z83yNL+HMEqlIgjeKb9Osk6N8Qn+OdVNpOFgKEBovC3M6Wck/QzsCIoaPilMF98NxV+OOdD2aGN0fr7kNFCFaKUNO9sq5A3XnND+c3T4G7wh8TwtuqbxeagD/zzofskEz7Dv58AbWK50X4xOywCZECSSCtOxCgSVCKlquBfA11QjVStZaplmPzwKjZ3eWJG9X5qbAr/qdnn0wuZZdH1BJmUBQSuKqni0V2EMgZcs+N16icJwOazj+FlUF9RHjvOiGTcE/ljjwuqXHwTymEprllxvpdKJknKyqXKm5uU3x8IiZAwjbviL2ihys6lxKOtVyYgDaBSyf3ocShX9S/8lc5YXv1I2h3pBxSKUIMwvqapRxS+Z3R+dvrLLVQ9nEnFMnmhB19NOH1kwrtO89eIf8KKYeMf99ncEkn5ZEztVCQieYLJXbkFJ9SEcoCxFSIlq6vFiAL6sLx9Wmd5oUAafBP9MneTOmMOoKW1kGUUCy18S9mOR41rZzaqMKgsLaFIpEmITIFDdc1nUCyESAAbs1qgoKfjmB0WEdkqd0XPaqYvqt1Y1x5FAqXor1d7PRE/SLWN2HyWb0Hox9LmXm1M8xSaO6PEwvCXfFG/G17mc1ocqkjEB65EBDdEHrWB+7pxpc/1PI+ahYwbNZIK2c50qcS4YY3nn+OzRdf4PJzSeBUyZsRq7rohaA0/daJ8YgAA8n7LLH7YeFucnM/AAFKuPn8/Q+SiPEH4JnUunjt/BEU2dNEfVnXFJ7wbbIDpbaWhYsiclFH76KDU2WFw1cpXK1cygfPgR8yCJ+Pff0qJzVMIn9RK+8FItT/lrG9zDKFHfjPNbg6pRB+g+q5b0AAHB0dTeamUMlZXkw+lA+QCagHYVNPON5ep3VX/45gt8p4AjfLCJDwYMBfK0RsxnxSNK14yk/BI5y0CSQnARK+oy9srqwEZa9dYt1Sk4PDhCH288mLLCpJPFzo9AQtIleC6P9vj6kjnMypTB3eDQNtN6tblqM/UYSTyjvLI6NCY0olV9LZkYylT5eUeZBtwEmRi8eYctvvM+rPOSGqrutaBhVyx7/9O5mh7bnxCj8VyYJMaewlZ3suTIAJMAELEngf+A3pp2dWt3jQoTYcWy5ExpXlkdNKyskWXXmqzIQ3SAdK/dkqlJyypRQDSXWx5MpzKfWCMPu1UGEBYiGQ5jSjHoQ9Y+B4TkoOhkbzgWJtYdFJHoW6fa0VYUZkLucPuzljl5yPtei9mdhBRoa6PRBRAt3D/orTR+aFtyfcIH3Uzre9g39WzsTRiCJ4i3SY0KQQ2pRxF/lcbvuUQBGrx2oiRYMX4RMoPLQCt+07I6UB04AGIROw235YjBTJl8JT8QKLwn/CyYkdjbZjDwmPQJN5p4UD+d9tihl9XGIfUu4fE2ACTGDQ+lOYcl9KzNc9tD+G9B+AL3MrorCVlGRZLuPD2mC47Xr1/0vZxSdE/r8kPiijOScYNf6eYgFiPKt4q6kehOd34Li1BeBWRsoETE7owcEiUZ6Hh4f5PiDUoN8VzXWw70a8jamlGl65ciX69euHT58Mbwdb6jxxacfi92ZcOpFQx/zbG7i6Vpwtf/ByXBnb2ORwsE9G5wNF5qHin6sFXB79I/5NOxzLOpZEjaczgHMLDV4R5atYGtEAjx2iZnLun34htr90jDZplNygnM2d/j+prtIl1O3A52ECTCBpEPgaEo6qozdCCSsUzJsb89oUw83xlVHOWor4SVnMzygLoqDiCXbba6JhXVTmRfNQbzWERe1LoE5BzW5K0qATv1fBAiR++RrVekyDYPFJXgIKkE6dOmHVqlWYOHEihgwZombx77//okmTJkhI6z2KWrJ9+3Y0btxYZ0yojzS5pz7J5cWLF6AEhXv37sW7d+/g6uoqjhs1ahTSp9fkO6latSqOHTuGDRs2oFWrVurjZ82aBfp5+jRqzhS5knYUlZQpUyJLliyoUKECfv/9d5QoocnW++3bNwQGBsLFJXY/nYQWKxa/N416Wr5TpQMjgNNzxclfKDNC1fc63NOnNLozFIr6gU9h5Ld6EeUYEiD/q/ISXucMx5aXDygXPBdntDI831dmheuwaygz4TCCQiOEb8hx+/6iOq3O/R7WB4ftpTabh4zCRZXkRCjvthjdea7IBJgAE0jCBMjMlFxZ82V2FPOSQ6Oqo5b1ZXHFNUKm4pEqq1g8ksM60+//iyiCzmGDRZ2LI2qKvBxcTCPAAsQ0XvFSO0EFyLv7UthNKvG8A0KT+02bNomdm8ePHyNdOsl2MDELEOpnuXLlkDdvXowbN07sPN26dQsDBw5EaGgozp49C2dnZ3EdJEDOnTuHrFmz4s6dO7C1lXIkGCtAVqxYgbp164pdrvv372Px4sWCzfLly9Ghg27GZmNuPBYgxlCKYx16ZiZkUR98vPUDVDYhqk5gcBieTCgVZVufGswZvNbgzgbK9gbOzlOfc1V4LXS0OSj+v0mID16pnPEauglAcyheYZbtfHQL/Qtv4YSKVjdAWaAfqrJhWosiKOqWFjkzpBZ5ebgwASbABJhAVAK7RtZBQ+uz4g/FgxfiAxyRAQG46NBTXfmydWHsLb4IShUw8qcCjDEOBFiAxAGapQ9JUAES9g348ARwdAVSWM6ZyBATEiDv37/Hw4cP0bBhQ0yZMiVaAXL69GmxS3LhwgVkyJBB7JDQzkmqVKkwd+5cMTm/ceOGzvF///03eveWMnTWqVMHxYsXF8cYKsbugNSrVw83b94UgiBFihTqpl6/fo1cuXIJYbBgwQLxexIgOXPmxK5du+Dj44NevaQ42cYKEEM7Mh07dhQ7Nc+ePROCTV9UXLt2TZhkXbx4Udji58mTB4sWLcKXL19QrVo1nUsfPXq02MmJr5KsdkAIIoWxnuIhcK6rehxtqxYxGi1FdvowqSA8rCQndO1SLHghrjj8pv7V4LBuGOs9GXa21tBOPKh9jOyYHl0HSns4i2zkT95FLjYAeDC+XpwyQRt9kVyRCTABJpAECOwZWQv1rc+LK8kVvAYRsIY9QnHPoZPu1XlHDQiSBC4/wS6BBUiCoY7+RCYLEEpyFxb0fXpum9LoqFmyeRNNqtu0aYMHDx4gW7ZsUXZASFiUL18eY8eORYMGDfD27Vv06dMHRYoUAe0S0N/p3/7+/kKc9O/fH2vXrhUT7s2bNyM8PFxM1v/55x+xo2CoGCNAPnz4INofP348hg4dGqWZ7t27Y8uWLUJUUXskQIoWLYrs2bNj8uTJePTokRBM5giQq1evolixYmLnqGXLllEEiJeXl/j78OHDYW1tDapPuzX58+cXwojMxO7duyf6njp1avETXyXZCRDSIGPdkDLiM5YWWouuzYxPOPXhayhUU3IivSIQC8IboqfNLvWw3FTmgJeVZK4nf+zUPhrnFgF7B+kMYVAaDxR4Oz7GYXVJY49dv1cU5llUBtbxRO9quePrVuB2mQATYAJJhsDxkRVR2Vpa8JQXe/rVyI1+pzQhyLembotmA+YnmWv+HhfCAuR7UNc7p8kCRM8cJEEvYZiflN3biKLtX0FmTQUKFMCyZcuiCBDaVaDdBlrJl8vJkydRpUoVfP36Ffb29sIHYuHChWjWrJmYgP/yyy+YOXMm3rx5gzNnzqBy5cr4+PFjtBNuEgxkCkaTdu0SEhIiRA+ZPpE5VdmyZQ36itAxdL4///xTnJP6IwsQEh+enp749ddfMXLkSLMECE3qiQW1OWjQoCgChGJl044QiTr9wiZYRtyUZlbxn14OLoG3sTyLD7p072d0a+8Cg+E4LQvsFBGQY8afse8DV4WU/Vsu7d0OYM2vZXTb/bs08E4SlaI0mIFPBdsLJ3j6oXLDNwAN/z6prpIupS2ujKqN676f4JTCziR/FaMviisyASbABJIggSnDu2GQ7WZQYkIXHyl586VnH1FiRQ711XbNcQhLO5VKglefcJfEAiThWEd7puQgQI4fP47q1avj+vXrwrxJ2wm9YMGCwkxL9qEgUOQIFhQUhNu3b4vVfRIe5KhNuyQ0+afdkNy5c+PEiRNCPMgCIjrIJEBoh6BmzZo6VQYPHoyIiAijBMiMGTPw119/iXNnzJhRLUBox2P16tVi14Z8SGh3xhgndEMmWOR0Tk7pZK5Gfif6ooJMqmiHhsQZXUuLFi2EaRgVFiDx/zA/W9EZ2Z9tw5bUbdHchNUv//cf4DJXMt8qFLwUgUiJm/ZdkFoRrO70H6F98Ee/ocjtordrNbcE8P6h5uLqTwNKd9O5WIrkUnD0fk1bNfKIRE9cmAATYAJMwDQCBYdsQS+bHdgWUQmHJ3YXBz/0/4Lc87OqG2qccQ/+7V3BtIa5tg4BFiCJ4IYwWYD8YCZYcoQp2mkgkUE7I9oChARGrVq18Mcff0QZDXd3d9jZ2an9QCZMmIAxY8YIX5GmTZuidu3aYseCTKFo1yAmARJbFCwyrSJhQc7nw4ZFzakQnQkWiQ2lUin6QCIrR44ccRYgly9fFlGwyJysefPmBkUFCbjdu3eLKF0UhWvjxo2CJwuQ+H+YX+wYA7cr07HbpgYajNhm/Am906rregSvhQpWUcLmegavxN2JjaPm2Xj0H7BGK3rb4KcG/bf+2nwNWy/7wufngmhV2s2sbLXGXxjXZAJMgAkkLQJ5hu9BWIRKXJRsDks+dRmnS9Eo54Q3xozwlhzO3MxhZwFiJkBLHG6yALHESROgDf0Qt+TLQZN02kWYOnWqOgxv27ZtQU7ehw9L9uqGiuwH0r59e7EDQsfPnj1b7IDs379f+EzUry8lEzJUjPEBoePImZ2iXpG/ijFO6HQ9JECokCggUdSzZ0+xoxJbGF5DgojM0Xbs2CGc0J2cnGIVFa1btxZmajt37sT69evRo0cPEbY3IUpy9AF5f3wx0h8ZiKOq4qjq859xmCkB6BgpchoV2ab4qUMb9e8oqtUVVZ7oP2ivbwDbewKt1gLpNGYAxnWAazEBJsAEmICxBAp570dgcLioLguQ4LAIdBo9A3WsLmBSeGu0q+jJ0a+MBRpNPRYgZgK0xOHJRYAQK5pg0+o+TV7lPCBklkW+F507d0a3bt2EIzeFtT148KDY+aBCdUl4kJ8HTdBpN4UiQsk5M8iBnPwjoivGChASHuQQT7sy+mF4yV9EPwyvtgChc5MvCu3OZMqUKVYBIofhpXZpV4N8YEi4kDkXOe1T0d7VIPMsMsuinREKD+zr6yt8Qcg8jXZ/KJIY5RI5dOiQcNonUy76ia+SHAXI1+u7kGpbO1xT5oTHsPNwdJBCL1N59PYLeq69JJy9GxXVbNXj8TFg9c+izvSw5ijcdgJq5neBwsdJfSyJkg3dyqJcLt2wuvE1dtwuE2ACTIAJGCZQdMwBfAoK0xEg9D85huxWH8DJXM2/e1iAmM/Q7BaSkwChlX1y2KZJt3YiQpq0U2Qnciin35NfAzmaa5tC0cSbJuiy2KB6FLWKQuHS8TEVYwUItUF9JF+Lffv2iYhXmTNnFokIKaytfiJCfQFC/ScBQ5GxYtsBkftLzvGUS6RixYrCDI3CCctFW4BQHhISHKdOnRKO8HTttONCu0HUBhXafSGBR/3mMLxmP5pRGlA+vwCr5TXhq8qAG81Pol4hV3WdNkvO4vSj91E+Wri8BtjZR/zeS7kBN8dE7tQFfwsxorwAACAASURBVMbVaQ0wPag+TigL4+H4erCxtrJ8p7lFJsAEmAATMJrAxvPPMWTbDXhldcT/fq+kPo4FiNEIjarIAsQoTPFbKakKkPilxq1/bwLJcQcEH58BswsL9PpRUAx+nF5cAJZJgQ/WhdfAJOseuOFTRz1030Ij8L/rfqjq6YKMaTiT7ve+p/n8TIAJMIEIpQr7b71G+Vzp4ZTSjgVIPN0SLEDiCawpzbIAMYUW100sBJKlAKFEnuMziyFoFToCGycMjPnjpOV8fjqiAHra+ODa6NqJZQi5H0yACTABJmAkgRrTj+LR269Y2K4E6npJ3wEucSfAAiTu7Cx2JAsQi6HkhhKQQLIUIMQ3UlTsS1EfdQdviF6AfPEHpuVR/318WBssifiJI6ck4D3Kp2ICTIAJWIqA78cgXHj6AY2LZo0ardBSJ0lG7Xx3AUIOt2TrT8nmkmthAZJcR/7Hvu7kLkDE6HkHGBYgE+sDWk7mVEkdfndSgx974Ln3TIAJMAEmwATMJPDdBQhlpn716pWIcJRcCwuQ5DryP/Z1J1cB8mZzf2S6vRyPFNmRa/R1wwJkSCFgViH133ZElEffsD6o6pkRKzuX/rEHnnvPBJgAE2ACTMBMAt9dgFhZWYkcEN9DgFBGacrdcPXqVZHs7tOnT1FwPn/+HL1798aRI0dEXggKjzpt2jRRXy6UDO7PP/8U+SMoW/egQYPw22+/GT00xggQSm6nnZfC6Ma5IhOIJwIUFpgifVFIYDkKVzydKlE1++rUerge7InLyI/i3mcNC5B+2YGFmiy56twfvPuRqMaSO8MEmAATYALfh0CiECAUUpQyUCd0oTCllOyN8iksW7YsigCJiIgQifOob9OnTxehTSkMKoU+lfNTPHnyBF5eXiJ/BSWBoxCpvXr1woYNG0R+BmNKTINAfaAcESTQtEPAGtMu12EC8UkgICAAfn5+yJ07t8hwn1zKx+t7kW5bK9xRuiOfz3W1LbDXkH/Q3eZ/2IcK2NOrNLC4ikAyKKwbNkdUQ+W8GbG6C+9+JJf7hK+TCTABJsAEoieQKARIvXr1YvUB2bZtW7yNo3auBe2T7N27Fz/99BNevHghdjaobNy4EZTh29/fXyS+Gzx4sMhCTYnz5EK7H5Qkj3JCGFNiGwQyUaPdGRIhlFiOclpwYQLfk4BSqRTig4SHu7t7srong5+cgcOquiIXSLph95DK3kYMxcoRLdDJ5oD4t+rXQ1BEht/NEbwOgAKV8mTAml/LfM9h43MzASbABJgAE0gUBGKb+8bWSYVKO5tcbLUN/J1MsFq2bBmreRFljY6vEp0AGTVqlMi6TWJCLpSJ29nZWZhkVatWTWS+LlasGGbPnq2us337dnFNQUFBBleGKQkf/ciFBsHNzQ20omwomzchJjM1QyZi8cWE22UCsRGgZ5fMr7TNEWM7Jin8XeV/F4r5ZRCgSomQAU/gkkZKAnl9VFEUtnoi/v262XZk3toEj5WZUT10hvjd5ZG14JxKY7qZFFjwNTABJsAEmAATiAuBRCFAvpcPiAwsOgHSvXt3YeN+4IC0qikXithFx7Ru3Rp58+YVOyLaGbtPnz6NChUqiBViV1dNpmT5eMqy7ePjE2W8ohMgckUyxwoLC4vLOPMxTMDiBEh4kAhJduXzK2BGPkSoFHjexxceGVMLBHdGeSG/1Qvx71eN/4Hrvy1wX5kVtUOnYmG74qjrFfVdkOzY8QUzASbABJgAEwDw3QWIpaNgRTe51x7tCxcuoGTJkupfxSRAnj17hv379+vcLDTxovDBrVq1EgKkc+fOGDp0qLoO+YFUrFhRRPfKnDlqshpTd0D4TmUCTCAREQj9CkyQTDJvd7yNAh5Zpc5pJR183mAt3He3w21ldtQPnci5PxLR8HFXmAATYAJM4PsT+O4CxNJRsN69ewf6ialQRCntqD0JbYKl3zdzB+H730bcAyaQjAioVAj3doaNQon9dY6gTrkSUQTI41rLkfNgF1xV5oTHkPNImzL5OOknozuBL5UJMAEmwATiSMDcua/ZPiAUwpbMlWxsbHD48GHxQw7e5OSqXZYvXx7HS4z9sNic0ClKlmxKtWnTJhEJS9sJfdeuXbh9+7b6RD179hShfS3lhB77FXANJsAEEpLA+9HZkF4RiEUF1qBHy5+jCJAHVRciz9HfcNMqH7xGnUvIrvG5mAATYAJMgAkkegLfXYDIhMgnYsyYMcI0iib7+pGeyLHb0oVyfHz48EFEsZo6dSpOnDghTkFhRVOnTg05DG+mTJnE36ku+Xs0btw4ShheCsFLoXhJdFAULEuF4bX0NXN7TIAJmE/g+ZiCcFf64mCpZajVoDkoUIRCK/P5nYqzkf9kX1y38ULhEafMPyG3wASYABNgAkwgCRFINAKERMeUKVPQvn37BMNLYmLVqlVRzvfff/+hatWq4vckUiivh34iQnJElwvt4vTv31+diJBC81oqEWGCweATMQEmYDSBJ1MqwiPoBvYVmIy6LX9DeIQSNmPTqY+/UWYaCp0bgKu2RVF0+DGj2+WKTIAJMAEmwASSA4FEI0Aoyd758+eRK1eu5MBd5xrNHYRkB4wvmAl8ZwL3Z9ZH3oBT2O0xDA06DkZouBJ24zQC5GKRMSh5bRQu25dC8aGHvnNv+fRMgAkwASbABBIXAXPnvmb7gMg4aNeAzJ5GjhyZuAglQG/MHYQE6CKfggkwAS0Cd+a1Qv63e7HHtRfq95iI4LAIOIx3Vtc4l/cvlLk/HRcdyqHkkH3MjgkwASbABJgAE9AiYO7c12ICpG/fviK0beHChcUPZVjWLjNmSMm8kmIxdxCSIhO+JiaQmAncWdYD+V9sxN507VCv7zx8C42A1XgX2CvCRbfvZawDz7f7cSFlJZQa9L/EfCncNybABJgAE2ACCU7A3LmvxQQIZRWPrpBDOvlgJNVi7iAkVS58XUwgsRK4u34Q8t1fhIOpf0atAWvwJSQcdhNcYKeI0OnyK1t3uA6/kVgvg/vFBJgAE2ACTOC7EDB37msxAfJdrj6RnNTcQUgkl8HdYALJhsCD7ROQ59pkHLWviqpDd+BzcBhSTnQRuUGiFO+AZMOFL5QJMAEmwASYgDEEzJ37sgAxhnIsdcwdBAt0gZtgAkzABAJPDi6Ex6nBOG1dEuVHHkZAUBjSTskQpYWRHhsxtmM9E1rmqkyACTABJsAEkj4Bc+e+LEAscI+YOwgW6AI3wQSYgAkE/M5sQpb93XEFnijmfR4fv4Qg3TSXKC20dzuANb+WMaFlrsoEmAATYAJMIOkTMHfuywLEAveIuYNggS5wE0yACZhA4MPNg3De0hz3ldmQx+cm3gcGIcOMLDotLA+vizHhHfB0UgMTWuaqTIAJMAEmwASSPgFz574sQCxwj5g7CBboAjfBBJiACQSCn1+Gw/JqeKVyRpphDxAU9BUus911Whge1gW2ZbrC++eCJrTMVZkAE2ACTIAJJH0C5s59WYBY4B4xdxAs0AVuggkwARMIqD48gWJOUXxV2eNT/2ewiQhGprk5dFr4K7wXpo2dAIrix4UJMAEmwASYABPQEDB37ssCxAJ3k7mDYIEucBNMgAmYQiDoAzDFQxxxu+tjONurkHleLp0WThSfhUo/dzalVa7LBJgAE2ACTCBZEDB37ssCxAK3ibmDYIEucBNMgAmYQkAZAYyRMp9fbHkBrs5pkXVhXp0WzlVYijK1WpjSKtdlAkyACTABJpAsCJg792UBYoHbxNxBsEAXuAkmwARMJPDVxxWpVEE4UXcfPNyzI9vi/DotXK69BcXL1zKxVa7OBJgAE2ACTCDpEzB37ssCxAL3iLmDYIEucBNMgAmYSOD92NxIH/EWBytuQr58BeC2tJBOCzdbnIBXwcImtsrVmQATYAJMgAkkfQLmzn1ZgFjgHjF3ECzQBW6CCTABEwn4TSiCLKFPsbvYYhQsWgY5VhTRaeF29xcokMXRxFa5OhNgAkyACTCBpE/A3LkvCxAL3CPmDoIFusBNMAEmYCKB51MqwD3oJnbkm4bCZarDY1VxnRb8/3oDlzQOJrbK1ZkAE2ACTIAJJH0C5s59WYBY4B4xdxAs0AVuggkwARMJPJlZBx4BZ7E9+0gUqfwzcq4pJVrwUzljYlgbzJ0w3sQWuToTYAJMgAkwgeRBwNy5LwsQC9wn5g6CBbrATTABJmAigUfzmyOX/0FsyfQHitVsi1zryiBEZQvPkFUY38QLbctkN7FFrs4EmAATYAJMIHkQMHfuywLEAveJuYNggS5wE0yACZhI4MnyLvB4vhWb03ZGsXpdkWdjBXyDPVJ4+5vYEldnAkyACTABJpC8CJg792UBYoH7xdxBsEAXuAkmwARMJPBi00C43VmMbfY/w6vxAOTdVBlf4YBU3m9MbImrMwEmwASYABNIXgTMnfuyALHA/WLuIFigC9wEE2ACJhJ4fXAOMp8aiSMojawtpsDzn6oIREqk8X5lYktcnQkwASbABJhA8iJg7tyXBYgF7hdzB8ECXeAmmAATMJFAwNWdSPtve9xU5oCi+VIU3FYTAUiNtN4vTWyJqzMBJsAEmAATSF4EzJ37sgCxwP1i7iBYoAvcBBNgAiYSCPG9DvullfBelQZPGmxCyT318QmOcPJ+YWJLXJ0JMAEmwASYQPIiYO7clwWIBe4XcwfBAl3gJpgAEzCRgCrAF4qZBRGqssa5WttQ6VAjvFc4If3oZya2xNWZABNgAkyACSQvAubOfVmAWOB+MXcQLNAFboIJMAFTCXz7BEyWQu0eqrAeNU+1wTtFOmQY/dTUlrg+E2ACTIAJMIFkRcDcuS8LEAvcLuYOggW6wE0wASZgKoGIcGBsenHUvmLzUfdKL/gr0sNl9GNTW+L6TIAJMAEmwASSFQFz574sQCxwu5g7CBboAjfBBJhAHAiEeGeEPUKxJ98k1L87BK8VLsg8+kEcWuJDmAATYAJMgAkkHwLmzn1ZgFjgXjF3ECzQBW6CCTCBOBD45OMOJ1UAducYigZPJ+KVIhNcR9+PQ0t8CBNgAkyACTCB5EPA3LkvCxAL3CvmDoIFusBNMAEmEAcCb8Z6IlPEayxN0QVdvy2Hr8IV2UbfjUNLfAgTYAJMgAkwgeRDwNy57w8rQJ4+fYqxY8fiyJEjeP36NbJkyYJ27dph+PDhsLOzU98BN27cQJ8+fXD+/Hk4OzujR48eGDlyJBQKhbrO1q1bxe8ePXqEXLlyYfz48WjSpInRd5G5g2D0ibgiE2ACFiXwZFxReIQ/wZzwxvjD5l88Uroi1xgWIBaFzI0xASbABJhAkiNg7tz3hxUg+/btw6ZNm9C6dWvkzp0bN2/eRLdu3dC+fXtMmzZNDDTByZs3L6pVqyaEyf3799GpUyeMHj0af/31l6hz5swZVKpUSYgZEh3bt2/HqFGjcPLkSZQpU8aoG8bcQTDqJFyJCTABixO4MKoUSlndx4rwOuhssx8PlFmRZ8xti5+HG2QCTIAJMAEmkJQImDv3/WEFiKFBnDp1KhYsWIDHj6UoNvTvoUOH4s2bN7C3txe/mzRpEubOnQtfX1+xC/LLL78IobJ37151k3Xr1kW6dOmwYcMGo+4VcwfBqJNwJSbABCxO4MLYqigVcQVbIyqhmfUJ3FW6Id+YmxY/DzfIBJgAE2ACTCApETB37pukBMiIESNAOyMXL14UY9yhQwcEBARgx44d6jG/cuUKihcvLkSKh4cH3N3d0b9/f/Ejl5kzZ2LWrFl49sxwQrKQkBDQj1xoENzc3MS5HB0dk9L9xdfCBJI0gbtzmiDfhyM4p8yHMlZ3cUfphvwsQJL0mPPFMQEmwASYgPkEWIBEMiT/DRIW06dPR9euXcVva9eujRw5cmDx4sVq0n5+fsiaNStOnz6NcuXKCX+RlStXok2bNuo669evR+fOnXVEhvZQeXt7w8fHJ8rosQAx/4bmFphAQhK4u7Ad8r3epXtK74CE7AKfiwkwASbABJjAD0cgyQmQ6Cb32iNz4cIFlCxZUkdUVKlSBfSzdOlS9e9JgNAux6JFi9S/e/nyJbJlyyZ8P8qWLSsEyKpVq4QviVzWrVuHX3/9FcHBwQZvCN4B+eGeE+4wEzBI4PqSHij8ciMLEL4/mAATYAJMgAmYQCDJCZB3796BfmIqtKvh4OAgqtCOBjmZk8M47WRYWVmpD40vEyz9vpk7CCaMN1dlAkzAggQuLOuHUi9WsACxIFNuigkwASbABJI+AXPnvj+0DwjtZpD4KFGiBNauXQtra2udEScn9GHDhgkndDk07+TJkzFnzhwdJ/TAwEDs2bNHfWy9evXg5OTETuhJ//nhK0zmBB5vH4Oc16azAEnm9wFfPhNgAkyACZhGINkKENr5IJMrciJfvXq1jvjInDmzoEg+GZ6enqhevboQIg8ePBBheCnMrhyGl3xBKleuLHJ/NGrUSDiskzM7h+E17Ubk2kzgRySgOrcIir2DWID8iIPHfWYCTIAJMIHvRiDZChAytyJHcUNFpVKpf02JCHv37i0SEVJo3d9++00IEO1EhFu2bBGigyJjyYkImzZtavSgmjsIRp+IKzIBJmBZAheXA//TRMATjbMTumUZc2tMgAkwASaQ5AiYO/f9oU2wEstomjsIieU6uB9MINkRODEDOKwX0Y4FSLK7DfiCmQATYAJMwDQC5s59WYCYxttgbXMHwQJd4CaYABOIC4GHh4C1zTRH2jsCQ1/EpSU+hgkwASbABJhAsiFg7tyXBYgFbhVzB8ECXeAmmAATiAsBZQQwLhOgDJOO/u0UkNkrLi3xMUyACTABJsAEkg0Bc+e+LEAscKuYOwgW6AI3wQSYQFwJvL0HzCstHT30JWCfOq4t8XFMgAkwASbABJIFAXPnvixALHCbmDsIFugCN8EEmEBcCVDQio1tAbuUQDNNItO4NsfHMQEmwASYABNI6gTMnfuyALHAHWLuIFigC9wEE2ACTIAJMAEmwASYABNIEALmzn1ZgFhgmMwdBAt0gZtgAkyACTABJsAEmAATYAIJQsDcuS8LEAsMk7mDYIEucBNMgAkwASbABJgAE2ACTCBBCJg792UBYoFhoozrTk5OePHiBRwdHS3QIjfBBJgAE2ACTIAJMAEmwAQSJwESIG5ubvj06RPSpk1rcidZgJiMLOoBvr6+YhC4MAEmwASYABNgAkyACTCB5EKAFt+zZctm8uWyADEZWdQDlEol/Pz8kCZNGigUCgu0qNuErDJ5h8XiaKNtkJknHGvtMzF35v59CBg+K9+P32c0mHvCc2fmCc+czvgjc1epVAgMDESWLFlgZWVlMkAWICYjS/gDzLWzS/ge//hnZObfZwyZO3P/PgSiFyBkWkBmtmxem3Ajw++BhGMtn4mZJzxzWYAk13cMC5Dvc8+ZdFZ+MZiEyyKVmblFMJrcCHM3GZlFDmDuLEAsciNZqBG+Hy0E0oRmmLkJsCxYNTlzZwFiwRspvppKzjdofDGNrV1mHhuh+Pk7c48frrG1ytxZgMR2jyTk3/l+TEja0rmYecIzT+7cWYB8n3vOpLOGhIRg4sSJGDp0KOzt7U06livHjQAzjxs3c49i7uYSjNvxzN0wN+YSt/vJ3KOYu7kETT+emZvOzBJHJGfuLEAscQdxG0yACTABJsAEmAATYAJMgAkYRYAFiFGYuBITYAJMgAkwASbABJgAE2ACliDAAsQSFLkNJsAEmAATYAJMgAkwASbABIwiwALEKExciQkwASbABJgAE2ACTIAJMAFLEGABokWRHL23bduGu3fvIkWKFChfvjwmT54MT09PdS1yGBowYAA2bNiAb9++oUaNGpg/f75OFsi+ffvi5MmTuHnzJvLnz4+rV69GGav9+/dj9OjRuHXrFhwcHFC5cmVMmzYNHh4eMY7r1q1bMXLkSDx69Ai5cuXC+PHj0aRJE/UxX758wZAhQ/Dvv//i/fv3yJEjB/744w/07Nkzxnapnd27d4u+2tnZ4dOnTzr1V65cic6dOxts482bN3BxcYnT/ZhcmT99+hRjx47FkSNH8Pr1a5HIp127dhg+fLjgTyU4OBi//fYbLl26hDt37uCnn34S42qJwtyj505jY+g53Lt3L+rWrWsWfuZumLvMhd6Z4eHhoOSumTJlQv/+/TFw4EDBPLG/e+k9OHjwYBw4cEC8P+mdPnfuXOTJkyfGe+bjx4/iHb1z505R7+effxbHOTk58XsAQGzfvPjiHl/vgaTwDogv5nTDb968GRMmTMD9+/eRMWNG9OnTR/0OMOflm5y5xza/o7li27Ztcf36dTFvpPlco0aNxDjEZ/4jFiBadzRNLlq1aoVSpUqJjyBNBm/cuIHbt28jVapUoiZN5Hft2gWakKdPnx5//fUXPnz4ICaJ1tbWog59TEi0nDt3TgyovgB5/PgxChQogD///BO//vqrSHJFH1oKg3flypVon7EzZ86gUqVKYuJKomP79u0YNWqUEDtlypQRx3Xr1g3//fcfli5dKsQHfQx79eolXuJ0Q0VXSAzRB8/X1xfLli2LIkBIbFE/tUunTp3EJPno0aNxfi8kV+b79u3Dpk2b0Lp1a+TOnVuIVRq79u3bCyFK5evXr0LsFi9eXIwfCVVLCRDmHj13eeJx6NAhFCxYUH1vOzs7q8VhXG945m6YO3Ghd+KcOXPEAsrp06fFM6FQKMSCC01CEvO7lzIC04KVra0tpk+fLj7aM2bMAD3n2t8PQ/dNvXr1xHt38eLF4s/du3cX7276zvB7IOZvXnxyj6/3wI/+DohP5rTIIwvw2rVri4W3rl27irkYvQPMKcmZe2zzO1oE2bhxo5j7kuh7+PAhevfuLeYe69evNwd7jMeyAIkBz9u3b4USPHbsmFjNogk4Dc6aNWvwyy+/iCP9/Pzg5uaGPXv2oE6dOjqteXt7iwmjvgDZsmWLmHjSip6cvp4+NiQQ6Hf0ETNU6JwkUughlQs9VOnSpRM7MlS8vLxE3+ijLZcSJUqgfv36QrjEVkhY9evXL4oA0T+O2GTNmlWIFZo0W6okR+Yyu6lTp2LBggUggapfSOzRqqqlBIih8Uxu93p03OWJBy0GFC1a1FK3tsF2+H7X3O9t2rRBWFgY/vnnH8hcaNJB9zwtBNH9mVjfvbRaS4tOJJpk0RoRESH6TLvoNIkyVGiCRcLr7Nmz6kUk+ne5cuXETrz27jsdz+8BiF1I+ZsXn9wT6j3wo70D4pO59jtAfl5mzZolRP3z58/FgoSlSnLhrs3L2PkdHUOLQTQnefHihaWQR2mHBUgMaEkF0vY5ffxoYk/mMmRyRTse9AKUS5EiRdC4cWP4+PjotBadAKEXW758+TBv3jzxQSGzKVr9JnFBK2bRFXd3d7FTQj9ymTlzJugBffbsmfiVbLJDH20y66HdCVpRINFSsWLFWG8kY29QeiGQoHn16pUwV7NUSY7MZXYjRowQ43/x4sUEFyDMXcNdnnjQwgLt8NE7gJ655s2bW+o2V7fD3DXcmzVrhpQpUwqRIXOhhRR6z6xbt06YCCTWdy99IwoXLiz6TaaxcnF1dRULU/ReNVSWL18udsL1TV5pN5re7fpmr/EtQH60+zE+uSfUe4CZa+517XeA/LwsWrRIzGuePHkidgYtVZIL97gIEFpYJzGYLVs2rF271lLIWYAYS5K2GWlHgramTpw4IQ6jrSj6INAuhXahrUKyGacHRbtEJ0CozvHjx9GiRQthb0crZbTiRbsost2voX6SbwB9yOjGkIt+n0JDQ4WYWb16NWxsbMQOC5ljGbtLYawAoVW+KlWqCP8XS5Xkypz4kU8PbXeSsDO0WhqfEw/mrsv93bt3YhJcoUIF8fyQbT7Z0K5atUr46ViqMHdd7mSCREJvx44dmD17tljcIDNE2gmgdynZIyfWdy/t3JBQLV26tPgOkMkumWBR8lj6PpDPn6FC10TvXFpV1i558+YV3xo6Xrvwe0D3Oxyf3BPiPfAjvgPik7n8DqB3brVq1YSgp3kYvQPILJPmSZYoyYm7KQKELHPo/Usm9w0bNhT+OGT6HV+Fd0CiIUv2b+SUTf4VpAJjEiC1atUSq14LFy40SoCQ0zGZdNGuCQ14YGCg8OUgwXDw4EGx5UXb8nIZNmwY6IcECE2C6Bi50Mog+ZHQSi0V8h9YsmSJ+G/27NmF0KGPGPmL1KxZU6wkaCta2n0x5QaluuSLQvbOtFJP5l2WKsmVOa02kJijHxKLhkp8TjyYe/Tc5bH4/fffhSkm+XRZqjB3Xe40KSD/DxLhtCiTNm1aIUhIfIwZMwbjxo2LIkAS07uX/ADpXXzt2jXhD0jvW9nElhaXDL17SYDQO/3evXs6txWJGWqLeCSUAPlR78eE4B5f7wFmDiHc5XtdfgeQ+Q8JHfKloqA+9A4gn1oS+JYoyYm7KfM7mpvSbiy9j2jOaelFZv2xYwFi4G6myQaZMNHkXTsajqVMsMisgEyitE1tyAmRTD5ocl+yZEnQ9q9cyPmVfmIzwSLVSh9tEhsNGjRQH08r6tQ+mff4+/sLUy+5kAO0KTco1aWXxeXLl2N0mDf1JZFcmZP4oJUeCiJAK6HyhEWfX3wJEOYeM3dtoU/PET1jlijM3TB3mQutvNHixuHDh4X/GvnNkQmcuSZY8fXu1b4nyFeQdqLJX5Cea3qfk7mtoXdvYjHB+lHvx4TiHh/vAWYuUTVkbkgLEDQZpmdIfgeYE21T+z5JbtxNnd/J9WnxnYIe0RyFTEnjo7AA0aJK6ptuTprAk++EfvhE2QmddhBatmwpjiQzAdohMcUJnSJn0eCSopcLtUM+G6dOnRK7C4YKOZfTbgmdSy4UQYUeYHJCJ2FBAoT+Tr+XS48ePYT9JEXEiq3EZoJFOyZ0M1JIO3OjUlBfkjPzly9fCvFBEy26p+QoaobGyNIChLkbx10eC4pGRiG6zniJRQAAIABJREFUDQUIiO2Z0v47czfMPTouHTp0EGYYtGBDk5HE+u41dA88ePBA+PpR38kMy1CRndC1V3fp32XLlk0QJ/Qf/X5MKO6WfA8wc81ORkz3usxcfgeQCZY5Jblyj6sAIdcDstSxtO+Ndn9YgGjRoHC15FNBNnDa0UdoUi87WlMoyP/9739itZp2JWhiQn4c2mF46YNJE3UyyaKQuBRulQqZVZEZFe2k0PY8bSvKJli03UV2jvRBis6pmx5AuiHIHp3sIqmf5LisHYa3atWqINvVv//+W5hgkdkI9ZnskWPKBUIRJmh1kWwvKfKB7PdCOySpU6dWU6KoVyQ8SBVrO+LH9cWQXJnLZle0q0X+OtriI3PmzGqcFMKTVlPJRI/EJzmmUjE3OhNzj547mcRQJLpixYqJHSmKUEfPJ0Uz0g4AEZd7nrkb5k5cZHNSCjFOvh4UFpIEB+1Ek+lFYn/3UvQuEkn0TJNzNJmO0OIChdCOqdBiEb0PZB9CCsNL7245DC8dy++B6L958cU9vt4DSeEdEF/Mae5Cu500jyGz8hUrVojw1DSPMdf8Kjlzj21+R4vWtMNEYXhpvkfvm0GDBonFbZpfxldhAaJFNroQb/QQ0Ao0FXooKDEWCRXtRIRkPiUXenjogdEv2kqSPq5TpkwRzocU+YWcq2iCQytmMRV6OEl00EqsnIiwadOm6kNo25J8Pmi3gwQFfcjog0YTp5hC2NH10QtXv5CAouuRC+3OkFkaTRYsUZIr85gSO9JKjVwo6occ4Uybt3aduIwDc49KTWZKzwE9i8SdhCE5BFNoaks4oDN3w9yj40LvOjl8eGJ/98phK+lDTrvEtHJLJl9yYtHonlN6T+snIqQFJO2AJPweiP6bF1/c4+s9kBTeAfHFnAQIOT+TgKf3Mc2LaMFVznMWl2+dfExy5h7b/I7meZRrhYQHLf7QfJbmleSDFlNgJHPGg45lAWIuQT6eCTABJsAEmAATYAJMgAkwAaMJsAAxGhVXZAJMgAkwASbABJgAE2ACTMBcAixAzCXIxzMBJsAEmAATYAJMgAkwASZgNAEWIEaj4opMgAkwASbABJgAE2ACTIAJmEuABYi5BPl4JsAEmAATYAJMgAkwASbABIwmwALEaFRckQkwASbABJgAE2ACTIAJMAFzCbAAMZcgH88EmAATYAJMgAkwASbABJiA0QRYgBiNiisyASbABJgAE2ACTIAJMAEmYC4BFiDmEuTjmQATYAJMgAkwASbABJgAEzCaAAsQo1FxRSbABJgAE2ACTIAJMAEmwATMJcACxFyCfDwTYAJMgAkwASbABJgAE2ACRhNgAWI0Kq7IBJgAE2ACTIAJMAEmwASYgLkEWICYS5CPZwJMgAkwASbABJgAE2ACTMBoAixAjEbFFZkAE2ACTIAJMAEmwASYABMwlwALEHMJ8vFMgAkwASbABJgAE2ACTIAJGE2ABYjRqLgiE2ACTIAJMAEmwASYABNgAuYSYAFiLkE+ngkwASbABJgAE2ACTIAJMAGjCbAAMRoVV2QCTIAJMAEmwASYABNgAkzAXAIsQMwlCECpVMLPzw9p0qSBQqGwQIvcBBNgAkyACTABJsAEmAATSJwEVCoVAgMDkSVLFlhZWZncSRYgJiOLeoCvry/c3Nws0BI3wQSYABNgAkyACTABJsAEfgwCL168QLZs2UzuLAsQk5FFPSAgIOD/7F0FdBNZF/6SNHUqQAuFUtyKFHd3d2dxX9wdihRYZNFlcXdYXIq7u3uLFmgpUCVtI/+5bzLJxNq0FH7YnXsO59DkvTdv7kxm3vfud78LNzc30EVwcXFJhRHFIUQPiB4QPSB6QPSA6AHRA6IHRA/8nB6IjIxkm+9fvnyBq6trsicpApBku8y0A10Ecj4BERGApIJDxSFED4geED0gekD0gOgB0QOiB35aD3zr2lcEIKlwab/1IqTCFMQhfnEPvP3yFavPBaNTuWzIktbxFz8bcfqiB0QPiB4QPSB6QPTAv9kD37r2FQFIKtwd33oRUmEK4hC/uAdq/Hkaz0KjkT29E04Oq/KLn404fdEDogdED4geED0geuDf7IFvXfuKACQV7g5rL4JKpUJCQkIqHFEc4t/mgepzTulO6fjQ7w9AbG1tU6Ra8W/zu3g+ogdED4geED0gekD0QPI9YO3a19LIIgBJvs9NeiR1EUiq7P379yxRRzTRA+Y88ObzV93H3u4O391JJJmXPXt2EBARTfSA6AHRA6IHRA+IHhA9kBwPJLX2TWosEYAk5SErvk/qIrx7946BD09PTzg6Ooq1Qqzw6X+tyeP3kbpTzpvx+yqp8XVr5HI5fHx8xPvxv3aziecrekD0gOgB0QOiB77RA0mtfZMaXgQgSXnIiu8TuwhEu3ry5AkDH+nSpbNiNLHJf9EDd97oo2OFvd2+uwtIsY2KZ+bKlQsERH4Vi/iagCvBn1A1rwdsZMkvfPSrnKc4T9EDv4QHPj4DYsKArGV/ien+PyYZ/DEGXq72sJfL/h+HF48peuC7eUAEIN/NtdYPnNhFUCgUCA4ORrZs2eDg8P2pNdbPWmz5M3ngRwOQr1+/4sWLF4yGZW9v/zO5ItG59N14AwfuvsPQmnnQv3ruX2be4kRFD/yrPKBSAn+XBT4+4U6r5VqgQJN/1Smmxsncfv0Fjf86D18vFxwcWDE1hhTHED3w03hABCA/waWwBoD8agu9n8Ct/6kp/GgAwgPjX+2+zDZqP1wQAxd3D5wbWe0/dY+IJyt64KfxwIoawJurhtPxj/hppvezTKT53xdw/eVn3XQ80tjhypjqIu31Z7lA4jy+yQMiAPkm96VOZxGApI4fv2UUlVqNL18T4OZgC5lU8i1D/V/6igDEOrcvGNcJA2x2Y5jDZMweOdC6TmIr0QOiB1LXA/5mqh6LAMTEx9lGHTD5rEfF7Bhb3zd1r4d2tHtvI3DtxSd0Lp89eePHRQGfgoCMhQHJr/f+TN7Jiq1TywMiAEktT37DOCIA+QbnpVLXdxFfERYVB2c7G1ZLg3IFXBzkkP4iD9OkAAhPl7p58yaKFCnyzV77FSMgMXFKOE3n8qieqDMjd5sZkKTxAr68BLz8gPQiJeubbwxxANEDSXmA6FdTzOQzTvwiLl6NfMcDEIra3rHvgXOqAvgtYSxrta9fBRTyNgPkkvJ/It/nGrUHNlBheIOi6FYhGSBkTn4gKgRInwfoZxTZEhwvXqlmf9naWM6/W3bmOU48CsXyjiWQxv7XyS/8Brf/Z7uKAOQnuPT/VgDSuXNnpt61e/fuZHv54btIJKjU8EnrCDfH7y/1KlzAZ3ZzAFUWp0hIgUzmH/Akizx9+nQcOHAAb968gaurK3Lnzo3ffvsNHTt2ZGplZBKJBLt27UKTJob85kGDBuHWrVs4dUpfv4PaX7hwARUrVkTNmjURGBiYpN+qVKmC06dPs3ZyW1u4uadD6ZLF0aVLFzRr1kzXn8QMwsLCkD59etjY2CQ6rjVg5XsBEKVKjSqzT6FyHg8ENC2U5Pknp8HS08/R62Qxy13GvANsxSryyfGp2Fb0QLI9QDvlC4oCNvbAsKfAjCzcED1OAJmLJ3u4f3OHJjN3wT96MopIg3Sn2ShuCu5ocrK/X8yon2qn//FDCNL/nZ+NV0ixAremtbCeDSCMaE34BEhNE+bVag2KTD4CWxsZLo2uZlYEZNbhR/jr5HM2h5F18qFPFe48Rft3ekAEID/BdRUBiOlFSGpHP7Uvm/B4wrHNKUoFBQWhdNlySOPiiqlTJqGonx+USiVTK1u1ahV69eqFRo0asWGSC0C6d+8OZ2dnrFixAg8ePGAyt4kZAZA8efKgTe+hUCoTEPr+He6eP4a5c+eCAOCyZcuS7ar/JwDpsPIyzj79yObcoUxWTGlSMNnzF3agGjqfYxOQ1skWtLv3zL6j5fH6XgU88nzT8cTOogcMPHB9LbBvIFBvFlCqx6/nHI0GiP0EOKWiAuOTI8CmloBnAeD3CwC/eJXaABPCfz0fpeaMQx8Bi0uzET9nLI8zbzVoLLtgcIRb6hxoEj+VfXZtXA2kd7YzmcH7CAXoWdqhbFZ0LJst6RnSdZ6kV08cldAdNiU7Y2oTKzaBlPHAVA/DYwy6C1B0WaaPYJx49AFd11xj7WY0K4Q2pQzfbbT5lGvsId04A6rlwpBaeZOeu6CFSq2xHjQla+Rft/HVF5/QcslFVMydHks7FIejbeIbkD/yTEUA8iO9beFY/1UAQlKuw4cPZxES2lEvUaIEWzj7+fmBBwTL5s/GtrXLQKpLrVu3Zjv4FBmg6AHZ1atXMWbMGBC1iKrEE72IxihatKguUe9LSDBGjBmHPYeOgY5J0rEzZsxA1apV4eXlxUBDnjI1dFfn1NFDGNm3O07ceITSeb3BqDu2NpBqc0Oq16yF+/fvY/epK/DxTItMbobqZLToJeBBZgmADBw4ELdu38ZpQQQkJiaGzYfOaeLEifD19cWECRMSvUMJgNA5dx3mr2tHiinr1q5Bt27dsHTTLtSuVROaqDCmWMVTsD5//ox+/frhyJEjiI6Ohre3N/MjRU74ufMDVq5c2SRSExP7FVfvPsKFD1KMaeSXar+ianNOISgsRjeetyQMZ32WQ1Lmd6Bo+2QfR8ihziZ5h1N2QxMdo7RiERb3qY/iWdOydrRrV3bGcXyIjMPzafXEl1uyr8B/uIMx1aj3OSCjFQu6n8VlyjhgaSUg7BHQcS+Qo3LqzOzCIuDIWMC3CdBqrR6AANBM/MKeP/QMvfMmAvm9XBKl66TOhH6iUczlxpiZXt246XioyYoVHUughm8GkxZDtt7Czptv2edWRUn4qJR2pA8aN1SMm49H0xrr3nsWvRT+HFhoJrLsmA4Y+gSQcQveUasPYsbLtugWPxTH1cVxcXQ1eLk60EMW+PQcCpfsyDfhsO4wg2vkwcAa1tNit117jRE77iCnhxOOD63yE13U/+9UhO/AZsUy489W307BTq0zEgFIannyG8axBoCQDG+sSgo7Gymc7GzwNUH1DUdMeVcHucxqBQ5jClaUIoHlVND86QVDVKO0adOyRTZRmJYuXYo1a9awSMKbWCkO7NqGScMHYsGiRahSqSK2bNmCOXPmsIU0D0BOnDjB6lEUL86F7un7vfv24eC5G/DL4QWZSoHyZcsgKiYWc/2HIodvMTy4dQU2aX1Qt2599OzZA2/fh2LG0k3QQMPGGNyjA5ycnTF17t86R7k5yOGTzgnh4eHw8PBA/5Hj0a3vYEYPI5qYJbMEQH7r3geP79/Flj2ByOnpzLoTEPr7778ZANm/fz/69+8PirYYAwLhscwBEPqeigVWLpwTdRo1w9hpcxAV9g4VivnqAAiBj/Pnz2P58uUM1D179oyBvIYNG7LjlypVCseOHUOBAgVYtXO6TkK7/SIUoSFv4H8yFM1LZk/2TpU5f9HuVZFJRxAVp4QXwtFAdhFlpA9RXXaTa56cJNW4KCju7YffdntoIMET+05W3/R5FGtx3b8+4x8TFa/8jBOs74g6efF7lVxWjyM2/I974NFBYEtbQyf0Ogt4Ff41HHNkHHBhIZurJltFoNM+q5/9iZ7g2oZA8Bmg4jCg+njsWzsLDYO5Hf01FU6iXZUiyDNOvxNOO7fru3FRgX+1fXkNzLM+4uurWIWxTUugfemsJm7pvf46Au+/Z59bA0BUT49DtlFP2eUHXFjqBPrX496t9P7+feMNDKqRB8WzuuuPeXMjsOd3i5cmpvafcPp4F7i+Wtcmr2IN4mCLoj5u2O6zGzbXuEh947jJuM3oZRJMaVwAHayJ3mhHFS60y+VMh009yvyrbxdrTi5SkYDC/kd0TdPY2eDupNrWdE12G0WCiq1PE1uvGA8qApBkuzn1O1gDQDwzeeNtFAc6COEXmKi/qVJ/RpZHvD+pFmLj1XC0lSFOqYaznYxxOs2ZEIBQFOF5WDRr5pnGHg+uX0DTpk0RGhoKOzt9CJmiExQVKVu/NX5rVBO+hYtgzfIluiJMFSpUYDv2PAAxPi7lOri6uWP6wmVo0bQx7p7cg7rN2+PhqX+QJ6fRg1ruiCtXrqBc4y4IvHQXnhm98PlTOGqUyI+VG7ejSFnDHb+CmV1x9coVlClTBn8uW4/qdRswao+3uyNbxFMUh6xv3774448/2P/NARAKNXfu1ZcBkJXb94NAXe4MaVC+fHm0atUKFB0hShdFQzZv3owaNfTRGePzJQBS2M8P3YdPMrkE5D9XNzf8tW473r5+hXrl/HQAhChiNGcCPcb2+Nlz5MudCzdu3GCRJKGpNRqQUopGGa8DIHRf3ptUmyXwG9vH6DgQeLOm6N+j95EYOX819thZiPokB4Cc+gM4Nc3ijbxHVc6E2iBsnF2xAcEzGoLmVGfeWfbVhAa+6CpIzHz9KRavP8eiXM70P/InKB7rR3gg6BRwaCTU1SZAmj+FPPvV9YCX501n+wOTrWlRQOwaB9tkFrFTq4DJ+k2Hm5q8aBo3Ecs6FEetAhm/7Qrwu/x1ZgBl+qDjqitY96omG3OJsiEOZ+qDm6/0hVXp87mt/dC0qPe3HVfbm6KaT0KjEJeghp1cinwZXVJlXONBaJONfwckeYCYj8CsJPIdCLyurgvEc+9RsrXVr6BTRVOaUo9113D0wQfWxhoA8mXnELjdWWkyzUOODVF3xAZo4mPQfOIyvNF4IBTuuDK2OnuPM9vUBnhCgFECVJ8AHDd9FxkP3DZ+LC6qCyC75B1OGkWlYzV2aB0/HvvsxqF63Cw812RG8yJemBM5BAi5CQx/DjgZPnPpmuYYc9DgME8D6kL+ixSbJcrc9muvGbArlytl75Pw6DgUn3qM+SBoWj0WuTr5KBRd1hiKAlhzPyR5v2ob0Abd/tshDHj473uAavk8sapzSWu7QwQgVrsq6YaLFy/GrFmz8O7dO7ZzPG/ePLbLn5RZA0DkbhlYBISMFnrV5nCJxz/aLoyqBlpU8kYL7EKZzSdqCwFIaJQC9CPj7fDm5Rg1apRJcUXahR86dCh+GzAGFQpmw0j/GRjat4cOgAwZMgQU9eAByOuQd5js749TJ08iNPQDCIDExsZi9JSZ6Ne3L9YtnI7FS5fj5RXDh5PQbwVqtEONxq1YRGP98sXYuXYJnp3fDSVsEKJJh0g4sdgI+T0s6D4DIBtWLEL7uuXw1j43vNydcPTSHRZ18B/SG2XLlmXXnswcAAmNVGDIkME6AELt3gY/R6NqZVhCe4YMXEidohSfPn3Cpk2bLF5mAiA+uX0xbKLpYrt9wxpInz4d5q/eagJADh06hObNm7P8kVq1arEk+XLlyrHjHLp4h4GVMxeuoGJZw4fJq/AYJldsDEDMFfb78+gTLDj+VDf31V1KompeT4vnsuT0c/ROLEl85EvAwboq7+rJHpCq480eK6diPVSQ4bZdd7hKYhGvkcFWYiai6M9JUrZYcpGNM61pIbQrrect8ztuu/uWR5Es1s3rR/9exeMl0wMhtwCZLVckT2sV4+Zi/4QOcHVIhiIP8eKnewOqOKDNJmBLO/1EKPHa2fLvIJkztticat6wRaHWngXUtWojgDWf4QMoDOtyFFYsQySc0b60DzZefoXZLlvRIn4Pa3656XmU9rNi9z4yBPiTS3RG3ytY+dgWU/Y/wAt7zj+nVH7onDDS5JxG1c2H3pWTn5C873YI+m++iX/6lEPxjHJgemY2di7FOvZ8J3swuXaq8+L33wlBv003kcvTGUcHV0p6V/jFOWCNHuiqNBLIJByA0dmoV4C9KzA7DxDNgQtmI18ADu6AWoWD1x5hyvH3yOHhhPPPuHyaxBacz0Kj8fvyIziS0MXE55Y+CNO44GCNE+hUkaNHadY1hoQAe6leQL2ZgCoBK/edRLdbLa0eM7GGFJEuL72H1bazdM2qOu9BwU9HMdNhLRx6BGLXOzcM3nrbYJhfJQoijLLTCXQulw3+jQok23fGks30viKmDP2+XOxtEKlQsjGDp9dL+n604ui0uZFvvKlQTmL3G22+krgPHyURAYgVjramydatW9GhQwcQCKGdbKITWZtInBQAIRpOgmN6SGw4NSjaWcmS1hH08CDLncEZdhaiEMZz/xKbgDefY9nHtKOflEUrlPgckwAvdzvYSKX4HBOP8BjDhZ0wUftzRCQSoj/C1i0zBvXtpVPB+hIbj1efuOOSHdywBIsWLTLJLaDvXFxd8T5OzgGQSTMw9PcebCfjfkgEZvmPwe2r53Hn9m3QmA0b1Mfn8HD0GToKXpmzII2TA1rXr4Hu/YeiY/feOLlmBmYvWZcoAAlYuQfL12zE3tNX0aJmeXRqVAVjB3bXzfWTJg3eaLhdicwOKkbBmjaqH0b164JP8oxwds/AdsrJ+rdvgqJFi+gAiIuLCxYuXIhOnfQUIPJ/357dERnxBfNXceBibsAErFmyEDKZfqeSrrNcLmeA1t1dG/LWqIG4aECdAI1DWpQqVxF5CxTCCP/puvm62MvxOUaBKn658Fv7dug1OkAHQC5cvoqypUqwtqSKRSpeRLX6559/WORm9uzZCLx4B3XL+eHw6QuoVaks4hJUePwhClkkYfgKW3zUuDIAgqgwbH6owJYb7+Fr/xEHx7UFtPco0amKTTnK5Ix5I6C6r5EUUEQCeeuwj2nnatOVV4iOU0IS/gS97rSxfEv2uQhkSFz//mV4DHpvuIFZ4f1QUPrCcKw+FwBPX0R8VWLdxRdYd/QyCkhf4oo6H8pJ7+OuOjsu2/fT9dEMuIVTYU7osprbQSJO8m9lfLD12mtsvvIKrz99ZZ9PbOiLLsnVzU/qh/cv+77mn6fxNDSaLYxOfAd+9p5bbzF6510GEpsU5RaZybY/CwCRb0y6rVfWwHhlV1TN64HVXUpZN+zD/cDW9gDx4GnHdmVNfeE9j/xA30uge5UEF958/goC37V8M2BZR+63mSwT8vcnfIJGIkW+0bvx2L4zG2ZsQlekQSzyV2yCxnXqJj00cfInCyg2gh60GIyHHHPki9Fcds5gLDqupERXoNJwII02SpKgAAJHAgQ8Gi0Ebm3S7ZBTlFEDblOtk+wwJsnX4rI6H1rHcxFQ8oe7oy37vQ2vnRd9q+rpj/RsbDN3Hwp6u2N8K8ubfMJFWXfZAYyTb9TNOZuCe/YeG1IJuTzTJO0XK1vQtZxx6JGutcUFJUVI1jaEOuo9pOH6jZpH6izIJ31teLSuRwAfLQ3NKGGcNaToyFLOD0KVLPr71oSajE5qXN8qNl4J3wmHMUC2E0PkO1jf6/ZlUFxxCYrsNWAfzO2mm7N1nsPRsc9Y5B+9Ew/tu7ImDxrsRpcjKkxqVBC9N1xHO9lxTJNzURWlRspySi7a97fSi4bNPmmckVaij/z0ih+MpbZzdY38FMuggC0m2qzDImUThIB7X/evlgtDk5HITlL8xO4gmviPMuP7hY77ZGpdg9wnUgQ9ePcdqubzBL3fhUabZLOPPMaloE8mUybQTuPTxtmmy6/Y9wbRq284Sf+997HmgtE71hzg1UYCT587jTWHzuG8tDg7PzIRgHzDBRB2LV26NIoVK8Y4/Lzlz5+f7SyTXGtixl+Eiw9foc2aO+zBO6ulH9txI1rP2RsPQBQsHoDQWJR3wC/oc6R3grOVetmfY+NB1BEycwpPwnnSQ/7uW24XjB5g2dI54mV4LIhXKDQKYTNdb7rR3nHJ4R81Lhg2dooOgBBwIboKby9vX0LTxg1Y7gHltwiNFqX3QiIYBauAX1GsWvo3ouMS8C5Cgc7N6iI2JhrnL19j/Pyy+bJgTMAsNGzOLVzfh7xB7dKFMMl/PCb0aIrTF6+jWqteuHDqMByzl4A94pFbyiXn8fbwswxFi5fGwDH+mD1pDF5ePgDvTIaJfXfUnCY6gbZq1Wvg2cN7eHx2F+JdfODg7oUnH6LY9/3aN0axokV1AIRyKegfgS16iJC8MPmVgE6FqjUweOxkRreqVaoAOvcegA4tSD1LowOXw3p3wqABA9Cpey+8/RTNFsy8fXXNhbo1q8LPNy+6+f+l+5ykgxcvnIsBg4bixNEjKF6+Ci7eeoA65Yrg5PnLqFy2JKIUSvag5alRS5YswYgRIxD58i5Cgh8jc/HaOHDiHOpWKYcXoRHIrgrWjU8vSC/bWIQ8f4js54fCPlr/srzZ+ASabuW4x8ZGi6C79npg1y5TID5ExeG5Num8p2wfxsg3471bUWTsG8ikHOcdfoBBVyqxoWKarIFTkaYm4xqH3wNtR5q+wPM1ANroFx80iLkiXw/HVYTDbE4WNLbOfJxyqs14z7x5prFDaJQ+AkifG0dGzJ78T/7hgM03sfd2yHeRviRwMHAL91wgY7vRQg75N/pGGKUiKsD9SbWt3+nnj61KAKaYpz7Q4ue5JhP6x/fHe6SzitKCnT2BO1uBMn2BOtropCDB+HCZdeh1yga/yY5iqnw1bqtzYFhCb2zzXAv3RgFAzqrWeeXdbS5RXGtblFVQTXYLnhJDCpOuQdHfgIItgExF0H3rU7z5osD+/hUM/SXI/Zgr74nBCXolvaZxk/CnfDGySwU78OZmytMl9w4Abqw1abFJWRVjlHpVsEKSIEa5CdW4oVTcYtb+5viaoCjq+ksvMbB6bgwu4wLM4ehGgaqSqCNLvJI6LSZLBugX0Z1lgfCXr9PNpVLcXLzSZMCWnmVQJodW5Ys2R0hC1tbJYM40FtFtzRWppef5gC238OJjDHb9Xg7tx/0JZ0ksS7Qmy+Rihwtj9DRaXpnP/eN1SFZzGzG8vbXPg/Jf/HURId0XRvTTLZdfos2hxHOJLqnzY76yGaM6UTL/P33KwlEVBcjsmNx4nXln2MbZcdthyCl9h3nKZsjVZCwauAQB2SsBAabJ7YndlHxkmW8jgRpL6riid2CEDmhmwkecSTcNNjGG74jFykaYrWyFvbbjTDeU5BCQAAAgAElEQVSOrPglHFaVQG0Zp7D1wSEnyn6eBLUW3FpLOXoVHot6C86ymOH50dVMFvpWTCNFTcy9hw4MqGBQAqCw/2FkjAuGT878WNHdkBpeaOJhljeZmA2rlQdrL75ktc7o927N5rOl8f65/gbLzwbh0XtuzWNsQn9/DX8Fh4WGwhvt4sdg0zQuyikCkBTdMoad4uPjWd2H7du3s7wG3pjS0a1bujoNlg7FX4Qsg7ZBasclND+aUofRjj5GROHm/ac6AEKRD1o40gIy5Au3A5s3YxoGDGh3kaIUiZkwEmENAAn6GMNUoBKzbOmcWNE+1cfnkMVzkQCyNsP/xNs3r7Fw/jy2E/4hkqNgZXRzREVvCSq16IWorwksXyJv3rwsmfzgwYNo2KgxHDLlZknok0cMwrQ585CrUHEc3rsLa5cuQGafbNgWeIaN1apOJbinTY8pkyYiPvoTZgRMwbXbDzFtVF8M6sGpJlVt0RNvPsVg2IQAlCnii9vXr8BTGoE6Vcuz799q0qFnv6E4enAvqlcsg0PrOPqU0B6ofaCEDB5p7PD66X00qlcH7q5pMHLYUBQuU5m9yO/dvoH50yaifbt2mDpjJuxtZNixYzuLfozxD4Bf2UqIU3xF4KYl2Lx1Jx6e3oGs3pmw+cQddO7WA6G3j8HVJQ3bLSKFEwrAL/xjCs6fPILAwEPwkYaZzKtKix7Ik8MH7YcEIF6lxgeS4T2xB3P/WoLubZti8fTRrM+L1yHIXqYBjh47Br/iJTHOfyp8CxVBvYolEB0diUEjx+HzxzDcObCCASKXvJXQb8hIdO/aERkS3rB5CU2h1CD4bZgJAKE2/IudXR/ZSZTOng6rnrtgqe2f8JZwErtkCo0c+eL0i5O/5XNRV3YVz4uORs7Go1gb4sU67OmGBrLLXKdxoTj/IooBtI6hf0ByaxMuV92I1oc4qskEm3XoamMUFpbIgImmu0P8ort5MW/8c+MN/mheCK1L+mC9f3t0wH68yt0J131HmIT2jS+Cf0Pf5FcONrmS/78PKLm0kCBR0doXtrUzrjLrJF6E6zcf2P2YSvULjKU7aezxDXyTV0SNOr26BKwyTM6k3fjSUv1ONn++tLCRQg0MD2LytPR8XHUuGHXyp0Xu0CNA7po6Pv/X9nsR41WGKbstW74IK2zn6NzWLM4fO+306nUG/qSk73bbEC+1h1ympyyY+NxK1SRL12pwfB/ckvvhZIMYIOwJnmRtizzb9QpC2RQbsdV2ilk/0JgV4uahWbYEDHk33NrbgbUrrvgb4eAi8PPbFEGdXI6wm81tRBVUrEA+ySvssJvM/s6nWI2uVXwx4lISiejdjwPeXARp4fGniIlXsd1f3niwJ5woRUEo2bmojzuaLzyBe/bdIIcKGPsekHPqhqefhKHTqisWqTFnn4ahw8orrO204tFod78n+/9HuRfSJ7xj/9eMeAGJozuwpx9wc71FX41L6IINqprYV/wmCt0nypGEK+xnVCSVVCIbLTqvixwl5fzCiuWY774dVb/qc0cpiX2ufLFu4b6hylm0r1xIR4+hDYkhm69CBjXkUCKgdWmUdgpFxk3VTQ5HYKdN/HiDz22kEpwdWRVlp3MiHrydH1UNVGuLt7UXXuDMkzBMb14Iv0/7S3fdiaKHvwwjjrMSWmG4fJuu7z5VGTSUXTKcT+cDyLZETx+0lnJkDAQocpQqNchoY/b5CcDNx+Q6Hrn/Hj3XX2fzPzuiKirOPKk7F/4ZSWyCXuOmsGfHIVVJVBh7yKBAozkAY3yBpjcrxCIgtKFMBR5rmlFOs3gPfbjPUf9cvUH08VLTjid6u9G8CWTv3bwYjZ+MMWn7Uu2J9GMfsiiTCECS+uVa8T0tnDNnzsxUhXgePXsYTZuGtWvX4vHjxwajxMXFgf7xRhchS5Ys4AEIo6r0r8C+PnHvDVSRoQyA5PdObxCW+xqvAuVYCZGoWVBBcpAxoYwn+iVBpoucZHF3hKuj5WrffBIdUQQocmLJ0jrawpuUoChBTGsqjRTNBv2BvTs2m3Rr27IpNs0bj6joGIxduBX/7NzJ6EAZM2ZEpUqVMDUgAJEy7uW0dN4sbF69lPmrVoMmcHRywr1bN7B+D/cgDXt2B6MG9cHdR8/gkykjo0YNmzIXg7q30wGQy+FOmD51Ms4eC0RsbAy8s2bHvDG9Ub8GF7KmPI8D526hZ5vG2LbkD7RsyCVEwskDiNEv+kM0aSGVyWErkyLuzR1MW7gK+4+fx9t3HyC3tUOO3HnRsmUL1G7ZEQ4OHJAk6tj+XTuwbdkcPAl6BXs7WxQtmBcBI/uieGGOTtSw00BGRTqwfoGBr56qM+PlvUuoWbcxrgduRLFCWu60oBUBEIrysGNRIUI3d5QunAdd2zRG07rVdC15AHLz8GYUKZgXU+etwKbdh/Di9Ts42NuhYumiTCUsuw9HX1mxaRcmz13OFMLou1M7lhvMLTEAQg2nJLRHa9kp5DGKNhnfDPQSbF0+H1aff4GdthNQTPoMsU3XwNGPA/K0OO4yaYHupfTGuwEaPmuAm/a9Ld6P/BePKv2FfIVLc/xoo6RFakM+JyBPvwGhfvzgMaMw1/ZvfEyTH8cqbsOonXcTPVZy5SKTnPgPbkAvpjG7DM8xWfkCicyXon4FJh4GVUC2l0uhSOAqIQcOqvhtyb/PjgMbmoEik+3ixyIajkzMgVcH5Ddw+KnRPBJNSN3RDbi3AyjQDEs9RmNN4CW8Q1oEO3WFhPI4zJjS1hU2Y16xxe6co09wzm6AAcCmLs3T78HjsDhUzuuBA3fe4ZZdD7hJ9DLT1lxq+o3cnNrEgGZLz+bAK/dQ9xD3nrBoE79AERqEdvP3YaftRGsOp2szIqEHtqkoEqPBC3tTCez7XZ6gQNYMbPE4b/UGFJE+xwS55cU1P/B+VRn0SxjA/qTIOU/H+DI5K9zUX1A/LgCDbXagBq9+Z+2si3VkNC++7gHfLV/GNFjTpRTWzhyIkfItBqORnG229E6YHDkOHhL95hlrRLUs3HxQe/YRfP4YiljYYWHnyowGIzT9AtC8n6ydfoW4+SzJm2xXnzIo6h4HuGQy210Y9V0hn5Wkr6iCegXZfYOxlivroYeNNjeyUEug+QqTYwWFRbN8U13UUqPB0QnVUFPGRYWJ6dAnfhCuavKZ9G1bygdDauYxiEIRW+P40MoWcxDuvfkCzxtz4ZnRm6ubc3MDsKevbmySSRfSZAkg37HrAReJdoOj4lCWCM9L8lLH2xNqsWe8sVFOapnp3GKaKH6zDhuu01qXyII/WqRMse7mq89o/vcFbO1ZBiXX5tAfelyYjqZMH/KbYPR/WrgLwQT9XW7UWpSQPsZU+Sq4SLgN55X5VqBbGy6/hp4D+ScE6p6rlu41Eo8gnxx7GIoB1XOz65KY0bjvIxXweriWo1ACKGWzA6HRputAYuycfvAaFaV3Ea5xwYjuHZBV9QKZNunXH8bHok2GezNaigDE2odDYu14AEJVrCkBmbeAgACsX78ejx4Z7qL5+/tj0iRTpQgegFDo2d2Jy/e4+vw9YsPfIWsWH2SzjwZcqLiPYWVwYRE9Cq2R1K3OCH1HhQDRoewjhV16PPmq380mJYuMrvZsMUbUEhcHG11CHoWUSfWIvie+e5zSsvRvYS9HgJCy1tQaCe5rsmmFbbkPs0k+gPIpXCUxcOf5nB75dDtNxEklehjlsxjTvKi/l6s92jZtCHvXtJg2fyk7z4I2b7lETwsW5egDZ9e0UGugC59TJEYVFYpMEi5J750mLQ4dPY0RwwYj5Noh2NrKuQWri7eOUmZp/HiNDRRp87IdXik0UAuSPvk+haV6+lJq3G/mxviqscUXOMNLItjpJxpBfPIWO5bmF+fgiScxTvCRfGCJ2wyAfFYhe678eBIWg2FLd6GU9BGjkyRmD9U+aBQ/FU+1BQFflBiDbA1GYvWZJ2h/vAyXDP77JcBTD7boQf7PByu468IDt9sG5EmZ3OBf+86j7/V6bLStlY5i5BHTyNOm7qVx+mkYlp4OQpfy2TCxYfKTBr/XvZDccS3toFkdpaANDooevL0GNF8JFGqhm4JQiICU0gpO1Ov8P55ax+rcNd2AxrU1tF/QTvaGbqXx20ouUkYVlKmSMpnvhEDExnPPLuNzImBy8t5r1NrFLTQeFRmLOpe4a1nMxw07uxbkdi+PTAAiOA610MIGvUXJGafhCAUeaLnw/PcamR2yxxj+HjIiHJeMePAPam5Avs8nIb1mqkLEjxXkUQ2XikxH8MH5uKvJgUtqXwOazgJlEwyw2c2ah3uUQpc3DbF4WGd4p+MUnrhrrIEdEtBadhKT5aa0KONzK6BYiRhwO9WPyh6D/U29Yl7X+GFYGTCOLSQJXPKyuUS7Cbb/zWCo/arS6Jcw0MR3tAtOu+G8PZpQkFEn/1I2Ql+bvSbt+Q+eqTMhlzRE9z1Pv1HLneAbtQgKGBbmY7k7nUro8lru2fqhYLxhwrLFgxl9QYIEZ6dzOQ9kBL5IxYtsis0qdLCxnDdh7hj94vujXtu+GLz1JuKU+qRzXsUosXnR+3Lc7nvYeeMtqklvoJj0KZYr6yOdJBKre1WFnUsGuL4+CoddViSYj/9oUDQwseN2WH4e4UG38FiThYl5UBI/5ZIYG/3WiHpddMpR9lWKcg80GqiW14As5BpKKv5CGNz1+UcTv6DO/LN48j4C+SUvcWBUU8CV20CjBXT20Ry42ti9NMqbUZYaseM2tl0zzfniz6NSHg+s61qKRdFIydG4cGJiPuKfqSUlj7BdG8lj7SkPioAywDa9qO4VsVdaFvdmtHvhs/jE0MrI8ZflfLYXna8ja9acLPej7XIuCrS3X3kW6aC13IlH3JqPbGefslh64iEOP/6CXpVzYHRdwWYmCQhs7wJ0DQTS5wE0akwPfILo88sQINf/5imKRoI8nNG9yq0zCbw5HR+NzjbcpvAal9/ROZKjUVoyen5MHj4ULjIlK8FA9dkoXza5JtHw2+TJ7fkvap9cClZiEZD8PhlweLCe00s5IMFBz5HdOQ72NlpgkclIGlWbM0EuzZqWohoCgEJFguIMd3aIwx+vVQChPr6ZXJhC1SdtcjnlEDx+HwUlJSMCyJMhDagG36fIaETFxrG+VFtBuNjO7aqBQxSXkMTfmsLj5JK8haOEQ88xGjs4SfSgIT69L95HKZm6ktC+fo3F9vWrUa5yNcjlNrh6bB+mTJmCA4GBKFSyIrzdHSDR5pxQPyqeRBaqcdcBHxNARiAsQcVyNijMr1RE4+rLaPQdMASN69VCwKAO3BQ88gJyR+DjUwPZQ0u37Su1J3yk3A/+sdobceB2XDJIPiODOT62ezamFsK8RQmaAIhrTjQvN8TAViKkvUmgsXWCxM4FdyLsGP2joPQlo2rZSLhrZNYE98nXeCXkYfcN2hN4CoUblHIXZFW9gkSjRKjGFZ4SQ/UbGluRzhdPwrSUP4coaKQ2CH7/hdVksbe3x6ITTzH7yBPsyLEfJUL0ql0N4qZimd8zZMqWD3te2GDoLU+mPjPUZhv6axdM+P0yVLe2QHZBm1RoJFN6KSgcS1b8jTUCFRT+fGkHjCItf8gFERqtvGdKHzGUs5B7Z134avNt1iprIpM8Gj2/9tVxmenluvjUM8wMfIwGhb2wqJ2ZQlwpncAP7Hfu6Ufdot34sFQ1t7Y1kqtXVwAHBAUeB94GLi8D8tXTUSGIRvQ0oB5G7rjDkorJCnu7Ym+/JHbwjSc1xQNQme7CtXVYgs0j26LoqM0YJ9+Abcqq2Dp9GOje6bHshC736JK0KB5UWw13Jzma+mXCP6cuYvPRS7oIWyXJarz6yi1gCdBUyK3PC1EqVVjm3xk5JO90+QeHHerjQER2LLBdZHLVeKlR4RcEwuYu+RvVPm5mz4i5yhbw792eFb4keev+i7Zji+0U888M7UDRGnvQbvkt+166oel3YAslzo+pAw8XrTyq4MCtll7ElWD95gQt2DZV+wrlne3wiHrIWvaOH4Qltnr6KZ+kTd8x4Cage30c9Brp3fQLhm5rruK4dsEzv7Uf5mw7grea9GyBasmujq3BKK283ZlQBMabNaENN8Bpbzfd+6J23Aw81vggqM49nLj/Ft1f0yaDBufsBrLo0/iEzghUlUIY9Kp0zYpmxp85bwD7B7NDqWtPh/T0DBOVL2t/dmNy/oNpHbicjrzjDjE5+pt2PXWbaquUdbDGpTfODK+CcbvuwOvGbANARRz4TEXrYGbzwgZF/ghQpKRK9dMPUag5l6Mk83Z6eBVkTaddLO7tD9zQ575cVedBSekTfeMKg4EaFqiAZpwiBJx8pFT4u6YuPNig5SHR02gjk35PfDFfa33NtxMuzDO42OGyNqeGy2PhchGMNxcaLjzHKEdTmxTEb2USr5UinA+/kUGUdmFRXOPE8MTOgZ8vn9eo/6FWBDrv1707+M+3dS+OUrkyoubkbfBV3MRedTnMqiBDi2tGdYSMD2osTR/1gTE3Xnz6iiqzT7HWmRGG8/bcBgDliF0o4I8FbQVrSDM0zoXKJvr3s/aYS5X1MV3ZThdxosT/CDjjyrAy8FwkiPIYzbFV3HhMka+Gv7IT+rhcRCXFCRCV7i9VExzoXRwFs3uJACS5Pwjj9pSETsXwSAWLN6pk3bhxY6uT0CNGpYFmTAhc03CF6cgYALl5Gtkze+gBiFcR0nfVT4EUiUK56MMLqQ+yeboypaQYpQROUUEmp/ZUnQlfBbtEJBX4PDRGV4iPdqYcIp7DUQASzPnnoToLErRAJr0kApkknxAtcYKzhtt1pwXyAw33w88neW20qNaPSICElJWyahfwtAj+oEnLCuMN6NoWD+/ehjIhnuWJjBs3Ds2aaQsmff0CfOaiC2EOOfEuhluMe7rYw8XOBva2MsNokPaQfJI7RUAW/TkTAQtWoVK5UtizYiacnbRFBfnFuyCx3tp7hBYIQRov1jyXJETnR7VEhq9SZzh6ZjcMQVPio9wBKomMRWroAf8+7CNLDGRG1ZOlnCqHMNrF/Oqqgm2U0c6snQvgnh0Q5AORktXTD5GQQAMXxEIFKSLBnStP26Pj8mpe/LmmlUQhQ1p3qGwcdIn2BHLtpGoEBwfrAIjON+Sv/YOA+7sxr/BePP2sYg87St4U8kfTIQLX7fuYd6nRQ5XAcdnpRw12VsckdMMmFcdFNqbbWHudLLWjheDexSNZQrzQmsdNxHVNXkbBexJQF2vOBzPt8/K50mFj91+z6NWGSy/ZLipZGnsbRkkTmlVRkN2/A7cME/z5MfhFLL+Yp4hD7rH6InM0ftPF55ngBtFkLBrRO5clr7qxKn1e/B5Sz0AtRzj+g3S14Buu58RHO2RGwc+c1OftibXMyu7S/Cn3LmZ+WR1AFY75RJ1ZRzskUCCUwc2S1gFnR1RD0clH8DlWv9lyfVwNpHPmFuJEhePVaujvs3XDkOWkafRAeMzcinXsOTyzRWG0KsEJKBibMXebPz+eYsO3H+x2Bk3TPEKt1510kYQjgyuxTaibF4+h6OHmWKasjw4T1hvUFhHuOBsfm8576W8lWK4iLRhJDY3M+N46+88iVLw7Vt/dNg00o1/rdrL5L7qWz44JDX3ZRlK75Zdw49UXjLXZoKcTAeAXR9SHFTL83EEvXUs0mMi3wIKUV4Te2fAO6hX2ZjKkh2xHIr9AtYqK7Hl7uLNq3JTDNnzHHbZDf8huNKYltMUyVUOLtKCUPrsouXj1+WAsPsXlvFA+AeWLMnt9FVjJAaYe8UNwUl0Ez7QRaPS/AaRLvryx8TzPP/uI9iu46OOqziVQLV/yEtiTOm9hZXchPTQxADLt4EMsOxNkMXdn2Pbb2HHdMAJCz3a632nxTrm2fOSU5ndlTHW2trDGCIDYIV6nRMdyKLSy1sFd76DqYu6ZS/a7bA9GyLcaDEu5HpQPKbQnObsgw7OtjIGgs/Hhukrz2NwWeMxFfSJGfoTfJHq2mdICjzjUQ62yxaCpOAxjZs3F9Nik67bwx9ugrI7fbDja2jZlZbSySbwcBP0WOlTIixXngkFS2u3i/4HL+QBQHa6BCf2gjovF63mtRABizU2VWBtehpfUhIiGtWzZMlZl+v79+8ia1RR9C8fSJeKMSgOXNssBv9a6rxXvniD4RbAhAHFMD7hlYaEySKTcw1RLsaLFr7NEX2/D3JyD1F6IBvdDol0SkoMkI5Wir7BHRgcl0sYZKkWZGyfWxg3P4jm5Rn6hHW3rAed4PWWFV48qIHlhqmueiEPpPF5qMugiLSa5LVS4KUKrviSzwweHHLok9wwu9qB/iRkt5IVRGYO2pBIilHslP4cHAfHmVR+Mj0Ma7k813kgjiUVmLc0LblkBR8Nq4pbmR7k9T0O5YxlHcPhCgHxfyhcSRoGoiJNjZlOpWqGimfFxhb7lAQ4BBl8vboeTaBZ81Ii7ZxxhJ7EAQJL4IRlwXHulYTKUBvb7ZcDTkE9MgDHfhEBIlV+ZrONhVUkcVuvrk1i1SE7GD5z8X2jiATyz00bDtH37x/fDPnU5Fnk7N7Iadt98i0Fbb6FEVnfs6MPVUPneRiCRKc6lkhWZfAQkzd2zUg6MqceF5YXXyKoEzkQSoYmz/YFyKQTa822XXcLFII7+SDxxkjTmTUg/fRASyaS2Sc8fkwzrrBRSrEAUHHHdrhfSSaz7XVrjMgJMPMBMrH2l0atwxo7bURdaGcVCfAD3TOQlZvnveR8IAQjJY5KKGm9Ec11xNpjR+vjdcPLXyDd9UEQahEiNg44LzvfhQV5S14qnnNDeVfB0fc2JyfsesHfAik4l2G/9xqvPaLb4gm5O/O9LqCpl7ljGajwFMrngwABDidy6888yJUAy49/t6xuByLJX/+6DVna7y+orOPlY/04xpifR/G9dOGyQ0H9PnQ1tJDOZvPex3gWRa42Wy99xL5CDUxGKnVcSjl/0kYCTtQKR5VgfLFDUZ1E0UhKbndAS1zM0x+YBdaGekx9SojMD6BY/lKlcjbbZiF42RG/jjChV+9VlGXglkCcsZMrnGXyv+hSUd9BUe92Ma5soLy1F370hOKzWg/xJjQqgUzlDBUprfiOW2tCCnyIGi9oV1dXt+pbxhH133niDIds42pzwvhm89RZ23eTWKsb3kzAPhP/uxKMPDFQ0KJzJrAoiXbeLo6uZpZQdG1KZ1XWxxsrPOIGmUZswTL6da15tPHBiCvvvUVUx9EgYxv5fX3oJf9ka5n4aj68u0Q3Skt0Q656XzctbEopzdoO4ZplLAFHvgNYbgOV65TzNkIfIPu0m8khe44idaV0d6npGVQiVZInnN1pzrpbaEIVzSIPi6FQ2K5PxJ7VU2fPjwMbmeK72QvX4OSIA+RYHG/el6MfMmTNZ3YaCBQti7ty5LKk6KTMAIBV6AvVn67ooZhdEcPk5hgCEvqUoSJg2t4QWtx8NE6gSOyapEETACSQpmt7ZDq/efUB2yXuDoIquPykIUc4J1XegfAK1YIdUIoNCYo+3ShdkkYQy/r7KLRtUynjYRocgQSOD3FyBN+3gBE6MQ+56ZqHRGXj6AjbacD3tsn+4p59LxsL4EK1X2bIGgFB+S7Z4QRhaeDjhsQSfU36KOvazLlLzWeMEd2sTSgW5LkndDwQWKPGfFprmgBRFBKiwI9EXvFwdgM8vgK+f2bCUY5HfWyspaXQgUusJ/hiDnB5OePtFAQr5kwkBCAEc2uGl+4JU2HgzBCBOsJOozEdAkjg5yue4/pKbK3spbG4HPNa+wKuMBqpw6lfGlnPMQcaZNbYU5REkdQFo13TmCYyMmqFX36LabAltsERFMsnc3IXqN6eGVWHJrN/TJu27jy1XXoMkGnN4WPciTGw+woWmUDnqeVg0ds4bDAdJHFoOX4oMdI9ZsttbgV2c6g/bTV1oSkXb0/geGvtl5iJydJ9eXYFFR+6yDYbtqirajQ9b9JAdRFXnVygluY/HVf5GbS6lAfty7kWht/rkYaIHzFG2YrKoJ4dWhuv+HsADbWMAu/PNhuLefrSx4SgIzKpPgLrcYOwKaI3man3UQ3hawxJ6YYeqMpNSJVWkxOz4ww+ovlWfyEmRj1rxszCrRWGmRt6sWGYmbbvibBBOPg5lnGte+pIHffx9lNQ9Q9ejurbwLKOyVb4IXOAWLbSjfVRdAqs7lzRJjk5q3MS+N06G5dsS3Yf8zkdshGMI+f70OS3k2PNJYI0WncOdNxzF03jBGB50HenWCRJXtZFQUjqjqt6sXkLzwkxSVmh8PYuN8gCU1yZan1T5ocz4k1yU5ukxtuhhNi5U9x4JPbUUnqdGsI87xI/ClCEDGHee6Gq8lczmjvXdSuuehXFTvWGn5ABvScViXLX/XdeWhDdWqjhgx9ctMRcZsiYJOCXXjjZqRv5zh/mnawVONl5oxsn5qR05Tsmcre3DV/nOk8EZRwbrZWgvPPuIrmuvshpNvYwKVRL9ss0yLjeiYGYXzG9TVPc7Wt+tlE65TDgHXqLWnLTtzt/LoVgizwUC6JRDe+X0QShOzUVNGScOQxY+8AXSzdeDvRpxM+GAeCY9naQNfqDLbaH8VQJds+RLkTnhJfBWfwyDcerOQrZdmVm+lwE9OZGD8RsZJAAx0GZnktMybhBVYxbSHOPU8Ej0QNVhDyrn4UQVdBYTDszi6FpEp3yoSC9GQJLt6VTuYABAynUBGs7njqBSQjG3iB6AZMgD8AWLKIeAFp5kGQoiJDIemb5aWFCT0pMsMzKpuJ2C9xp3prfOFp5qFfD+jvkzSuOlLyjFt6AFBAGS8GdcBMbYMhZCgiIG8i+m1C9qSvQqqi0erMkIn4yekHy4pwMp0fJ0cPbwAT48ME0sd87IJeB/CgYUAo17oho5uLEFOV9pPaOLfZKhUnpYvw15iyxmpG3h5cdFloxMpVbjfkgkS/QmCtEraWZEqmxZTs/VePEAACAASURBVAZ9JkuTAW7Rz8z70ihvJ1VvIY0GL0LegxLREyBLsr4LHZsvLkiJ/R5pkg4r8+2pL0XNUgpAmi0+zygTZGwBQnlGp6YBTp6c6omQWihwknBBtLJTCcb7beSXSU8zSFWHAl3XXMX5R2/0IXTt+PxDmuZ++/UXNP7rPPuGTyJM5WkYDMf7gJJqaUeYkiQpStW1QjaQmERybfmZIAQc5Pj/O3qXRYls2gjd3R3AP93Y56er70HlimaoTwlcPhACtAXn6Hc48BYQ+hBYnDp0tDbx41g+lVDxrHXceFzX5MbyLmVRNa/5auIEoMvNOI5q0pt4rfHEjN4tWY6FzjQaKOcWhk0kF3mh2hZEFY2DLZNk7VDWul3h41fvIeeRTrCJ/4LqcbNZf2uicUSN4At0WtOe5shf+9kt/dCiuDcH5GzT6OkXyb34SbS/TLkz665hcuOCyS7sSItuvtKx8WFaL72Iy9pcFONzV356CZsFAtUhY367FeeY8PAg5FvbIsgmB3KM06oyXlgEHBkLGNUCinp0Cmm2NGajjs+0HFN6tgKBHZKk5tXUjGk3yjN/wuYER1khCrKOelW8MzQN5mHluWAGAIRJzwEHHmD5Wb0QCSU202/3R5tQOYunA/7oOXzL8UgRkZTu+NpV/Fh0zYw/o+8sVeq2NAchiK+/4Cx71wttTZeSqCJ45uQfH8juk7v+tZjUMEXbivu44Z9QTsCEt47xI3FG7Wda20XYiCIYOaoCsR+B+X7cN3VnAQWbM6lvs0bU+6mW7yN6V02zWYF2NieA8oOA15eBV3pwLRyTANEzjbfuo4rSOxhgsxP+CZ2RUxJiNsfNYE4DbkLjnh3FR2+Bs+Qrq69j8dkmiJj7RKwQAci3/ChSo68BAMlbiSUpMftwH4r1rTkAkj0n7DPmAt7dATQqboFMAIByAzIWYovv8KhYfaE6l8wcNYtMu6D+/OE13FUfEaVxQBqSdCMqF41DEr3GxtO8LJ2gYNdd10QqBzIWhCY+FhILEZkY9/x4HRGPTK4OrHbI3TdfWPTECQqo0+eFnZ2dQUFDg8OnzQFQ1V/enDPoZAojYuPxUltg0ZoICA1BgEL23owaSiJggRLzX36MAekBZEnvjMivCTpZY1aQMS4ciDCjrPE9AQjAku14PYik6ruk5J6lh/wDLXWC/OtqixRFQGYGPmI8ZdKIfzbN8EGd2LxooU8LfrLUkohN7Hi8POIL+3YGzYooluIL0rCHq3B307hSc0p8nFgfiv5QFMiclcmRFlt6cup7r148w54VU/AqRzvM6lqbCUvQrjkVEjW2eceeYN4xrgIze1nEx3K5HAc5egBZYJ4pqNTid5Sedpzlh6zr5IdKW80ofvW7xjTueWlLKjh2wZ6TWk0taxg3lSlA6eabyMCWdvB1XTQaRN7ahfd2OeGWJS/mHn2KCQ18DfIarJk35YSUm3GCFfgiedGcVkSmhAnh1gIQa+aS2m0SAxIpPRZFUEipjGrvjNCqlOnGMi4GmQIAgtBHwOLSAOXBjXrFbWjMLcjRdWkx10Kv6qNWROPptNJ4rfFA/iEHkdmdy5mghfrY3feQ1kmO4bWN5GVJ1MVMlA9CLr6Rc2hzrFSAvnbC94raWnNNqO4EUaUCmhYyqwxlzRi/UhtramTQ+VTL54lVnfW03r6bbjDZbKFRLiNterHnz8cYXZK3sI0w4Zv/PL9iFaO2Z8AnAwlhg8FTcq/TAF9eA/MKWrwktCnpQOI/rdYBL84BV/RFRanTZ+9qKPpMXxzY3VGuy0+jAp0BBx6ytYUNlPq8IepI9EiSSCZBEBJ9kXE5qrziYFEfN+z6nauzZmIzsuo2kSPjNHCdESXmgPw/f1QGAMROAvA346k/oLi2ngMgfhVg7+jELW4FtSlAFCmvwmwxTXJuxGHUhccp3EVSrHJudzQ+6iNso/RVq9mHNg6AUrubyTvBPQfgwNXhsGjG86CGlGhFIIFuSoEkr24Mh7SAu2E+zJtPsfgUG88K/lB1dwOLfAckxJqoeLE2lKdBUq3aHXNhjkM6J1vdyyTJ60ovPVK64qV8XbOYrRmR2Djke1og2tpoKUu0kCNeplB97DsDEFIt42WSvwcAofPn80O+BYDQrhRxc6vk8YRPOqPrnYiT6foSN75k9rQoksUwHyDJa5yCBvtuh6D/5psmOQYjE3pgq6qqbnen+9prOPbwA1u8mqM9pODQZrtsvfoKI/+xzNflF7KfpuVH2niOpx49PASFpp4C1em5Nq6Gwa40LZzLTDuO8Jh4pglPtBChyhE/iUNu7fC62DBMO/gIJpKS2kak3Ha+3WN4ONvh1usvLJE6b4Y0ONzG1aBKt8mJUSTVSNGKQAYVPTNXoI+PPvH8+sR8S/fL2acfQXkI5uhCqXVdUjLOu4ivmHf0KTqWy2pQ7TglY/2KfRIFNofHAhcXAQLaSbLOUbgrzOeTTfcB4iKAEt2ABn8aDEcUHqoibZXaG99TkOyrGyyJBeTU/Q9YIu5vZXwwtYlhZehknZ/YOFkeSAqATGzoy/LQ7GykBs9Hyitadd5QPl+opkUJ/5P2PTCZSw3pdV2xUVr824x5idwT9cUFq0hvYY3tTF0/kqguNWwXPF1TSN8lvqcwP65cf+DCQlMfDbwDkNzuPsNNIVWVscgZqN9QIoWxD5GcQimf58XfuwabcUZKlcm6KNRYGwURAUiyPZf6HUwACO2mUBgu8g0UzlkQXHEeB0Ds7YGo99zilrd0uQA7wyrVFmdIakuf9JVhDdqR/rONPRdVkZnulpqMGf1BJx+r+y59XsDWkRvjnZnIgrF6F+02abhicKTAY1C/hB+UKDrGUQpeItdoUvwCmRYcwkqrSV4xqi3wQbu4MzPHJPuba0DAKUybl0MFDV314c0UjZdEJ1rY0+4z5YVQhdHvYbx/ie7jZpeyCMj3mNf3GJPAXN5xgWgjO4EZcn2BLpKw7GM7nS3oyYZvv43t19+wmhNUeyK1jbjPJPXLS9daGl+3ky4Ib9eJm4FHGh/W5ca46kj7eCuQpRQD7m2WXWT68WRsUXTLvBzudZkfjpdchuOnT2KL7VR9/R7BRHIq1pvIrbIaGsIdMPodU0SWfgdGNDsCcVceBkEGFdQO6RiYj4/7iif2nXRHmZrQHiu0/HoDulhqO1wc79f3gFAUgRZK8wpxEZBuR7n7/1uNFn0Li+vfpaV7A3X/+NZRxf7fwQMlph7FRzPF8/hD0XOc8h2NjeUbHTKs3zamXj70rMQ94y1tCD2z+41J3VNtml4JQ9hGFSWkv/2i3+QN6mKDrw8OoezlcqyuhrEcdbLd8FdpLh+43AAu2d0cLYt+B0S/Wm1UT6vXGWx/m5YptVEe4P47IbgppEhrJ0NiIG4zBXSvlEZs+JOLDgNm54IIQJJ9tVO/gw6AjPWAi41hUT0GQGqtQ/Y8vhwAIbUrnlpFHOD0uayfUIICCOM43yaW3IU3gYyIt1w+iFYZBMJd/thPgDIOsHfhclUc3ACihaXEhMBJ7gBQQrcZ4xfIRDfJntyEYEqwJzoajZ8aRsn677WghiI1BO5+ceP9SyDH3U6SIgrWr+QCop2pVSrYBh0Frq8GnnLJyy9aHEa2glyew9hdd7Hx8isMqpEbg2okXl02JeculJm01F9YhyR2cmY4qjmZU16Rh/5/pE4E8pzqA0jlONv2oS4Bs4jkGXbbTUh0akdrHoHH4d5MhSlK4oxmiglMZpq4wU8Yb1ggCa4daXOPMihL6lVWGE/Lo6bmEmP/PvUcfwRyiwEqtPW9InxWTFVs8it4wJIq25BHXB5halmAFxehNyqcmlrDi+N8uweEhSKJYfFKS9OmkdPY2eDuJPPFann5ZOEMBlbPjcHaCuKjd941UO8jqWfl89PYbBvAugSqSmKdz1Rs6lGGUXXpHdGkaGY4azcHI2IT4DeZe598MyWP8ngpksyvXR7sBQ4OB6Lf66dPgOHzS2C+IMeq5mSg/EA2Pyo0TeqOD99Hov6Cc2wDV1gklA0k/F19KwCh8dY3Q+SDYyIF69tv828bQQdA/iwNlwhDgMAASP3t+noLlHzIJ58nl9ZjKTJBERSKpKTUKCGV8j+0PMCUDmOxnzBRnnZQKaJgxvgFMimvCAtcpfp8rB0wNpzLZ6Gq6ikwf39/7N69G7du3UpB79TvwvuXkvxdUpgDkvqz+kEjrqzFJfGREZ/Wl0te5UP1wsrbqTmjpCgEdKxdWbahqM0LoNM+qGZkY5EE3nja0i6PZSgaxalCUXHIurIryC95hWoy6+8tSrK2G3IHCgdPJnlNL/SgjzE6ZRnheScnt4HyVIppqyU/DagLuSz1ZIZT81qIY/0iHqCNsbmmUuSY8AmQWi6MmOyzo40xpQJwNi+GkOzxxA7fxQNUdDiLuyMLvJKwAlEzebP0nKJitAO3cM9Ge7kUigQ1elTMjrH1ufuKfy4TXbSh9AIGd2mHLBv1iqfFFX+jWcUiuvbmTuzQ3XdwdZSjXM6UrQ+SdBYPGPhCk8IcqwG3gLSmSmk0JqnuEc3VODIU8T4IL0+vR846/eDkat3mUqJzpDy80NdwzZhVzAFJ8mJ+xwY6ALKsIVzeGhZ2UTRbj2B5bj0AoQUtRUCoSreVdSUMpk4FvYyNp06l8jl27twZa9euZYUYR43Sy6vSorpp06a6pGmrDkvRFAI6FEmxYKRCQbvWlE9izk6ePIk5c+bg8uXLiIqKQubMmVGiRAn07dtXJ5e8Zs0aDBo0CF++CJS2tIO5ublh3rx5oPMSWs+ePbFy5Ups3LgRbdq0SfR0Xrx4wa4lb87OzvDx8UGVKlXYcXPnzq37Ljo6GnFxcUiXLukf+48AK6QuROo9lGirVsb/6yMgBhdyVx/gtrbCe6XhQDVOPpF25mmHnuo2TGxoJjnbqpvbqNGN9ZxqT566qHe1MB5oLKsyGSQHNl2ml8TVDsknQBon01szrasOFVHy61ld0+0OrdBypKDivPabanNOGVQMvjS6OjK6Ji/id/0lRwczUKuyZpJiG9ED5jxgLgqSGru2ord/aQ90X3sVxx7qRXcsARBKQKdEdDJSinwXoWC5ItObcfk7fKHBCTbr0V5bmI93zGu1B1aW2IMhtfLAxYz4xw9zIK2Z4qINVbTob4qWpGTt+B0mrlv7RkTAxcVQXtuaw0k0vPSONa3FNmY9oLsI0/PDRaFVrup6BPApzVVCN1dxOqW+1AEQKZcQTtGP1NwVEsyLFupUoJGoY0FBQXB357T1UwRAUnq+2n5Uo6Vfv37o0KEDOnXqxEAA1Wu5evUq1q1bh+vXOT3t5AKQ2NhYeHl5oU+fPmyMo0ePJjpTHoAcO3YMBQoUAPW/e/cu5s+fj0uXLmHfvn2oXp2r8J0c+xEAhObDJ5Cm+n2ZnJP9f7Ql8MtLzmYtD3ThFKl4JSnjgnJmp0hiB2+uAoVaWY4WUrRvsmHBSj6K0atyDhw4cxkjbLZghbIe7mhyYpTNJvS24VTzYssMgeOlP0GFMN9q0sNHGoYLKl8MT+iF8/aJV9NGltIsgsLoVLc3A4VbY+yuWwh4oKcodEu7BisHNDU5NSrcmH9CIGr6ZsDyjiX+H1dHPKboAUMPRH0A5hhRIkUA8p+/S6rPOYXnYVzhZTJLACTw3nv03sCtCfJlTMNk3xsXycRqiZAVGLUDh+1Gwluij6bQ5x81LigVtxhBM4wK7P7nPW/eASIA+QluDN1FePMULsuLczPSPixTfaHHVxD/AYnRBEDCw8Px7NkzNGzYkBVpJDMHQC5cuMCiJAQI0qdPzyIkFDlxcnLCwoULWWV5WqgL+y9atIhFL8hq166NYsWKsT7G9urVK+TKlYsBkD//NFRBobZCVZbkAhCK8CxZsgSBgYEMiDx48ADZslneseYByM2bN1GkSBHdVNVqNQMeBDafP38OmUwGY1Bx6tQpjBgxAvfv34dcLmcAZtOmTaDITpcuXQxOe/Xq1SaRmtS81VP9vkzNyX2vsT4+AxYV5xTYxoQwEMEnK5Ks6JxWWv12S8dfVhUIuQE0XAAU1ydYGzSflJaT2RYYARC+ON6h8TVQV3aVfTuh6HlMvqmXOrxqWxol4y/ji8YJe1Xl0NGGA8M7VJXQQnbGslcsUFNIsrPW9rys32eNMzp7bsOevhakFb+Xz8VxRQ+k1AMzfAAFV/QQWcoA3Q6ndCSx37/EAx1WXtZRsNqWyoLpzQQ5EYJzPPbgA7qvu8Y+KZsjHS4GhaNG/gxY0YnbYGk35g9ssp1m4pX2XgfRrXIuVMuX4V/ise97GiIA+b7+tWr0xC6C2YUe0bAo+S2lRlKFVNk8JUbULwvF4oyHIwBCVCaKOLRr1w5Pnz6Ft7e3CQAhYFGuXDlMmTIF9evXR1hYGAMLfn5+oIU0fU//Dw0NZeBk8ODB2LBhA6pWrYpt27ZBqVSy6Mr27dtRp04dk7OiivRDhgxhEY+MGbWF0yyce3IBCFW6b926NQNCLVq0YKBg0iSuUJU5swRAqC0PzIgiVqpUKQMAQudI596jRw/07t0b8fHxuHLlCvOBh4cHxo8fz0AQRVbIXF1d4eCQSgn1Zk7kPwlAhNEJrUzomvPB8N/3APULe+GvdqZVwA1cx9NCCjQFWq4x9aqFwlIk1digz0wgUxG8mFoM2ZSckl2kPD1cEgx34PhBa8X9gSN2I5P+hdebzRWANGNEZ+w5PgBjbDZhcMLviExbEKeHV016TLGF6IGfwQNnZgMnpnAzEaMfP8MV+b/PgaTH30cq2DwmNy6AjhaKjp58FIoua7iNnvqFvHDg7juUzOaO7b3LgZ75Vw+swl+2C/TnQ8/REl2/G5vk/+647zQBEYB8J8cmZ9hkAxBSbJrGFcT54UY7v1RbxArjAQgtrMuWLQtfX1+WK2EcAenYsSNbLC9dulQ36rlz51C5cmXExMSw4oSenp4s0tC8eXMULVqULfoJWHz48AEXL15kORyfP38G5VQYG9GjKFIQEaHdDQPwzz//MGDEG41RqFChZFGwCFAR4AgJCWHggM5rwIABIJAhlZpPpE0MgDx69Aj58+dntLVWrVoZAJBPnz6xXBCKgpBfjO1HUbD44/4nAQhbyGjr49SdCZTuxZRQSBFFuDtm8afB981dC2i/3bQZyTb/xcmEKtPmhs0nrkigzvwjELOuNZyCApP89VHUZI78bzSX6XM4Xqo9kVUaijEJ3TB2/B9wsoKfbJwEn5zk8iQnKTYQPfA9PUAc+CvLgVzVuZpRov3nPSDMAQloWhDtSxvWJeMdRHK0/TZx+bLj6ufH1AMPkd7ZFieHVUEh/yNoJzuOafKVen9qC7H+5x2cTAeIACSZDvsezf8LAOTMmTOoVq0a7ty5gydPnhgkodMinmhaRCvijWhRlB9BlCZalBPwyJQpE4uSEBihaAjRqs6ePcsW/vSPIgfmjADI5s2bDRLLKcH7/fv3ePv2LUsA5ylRyYmAEGWM6FCUt0FGUQmiYdGxatWqZXYuiQGQhw8fMpBGUZ2WLVuaULCIZkVj16xZEzVq1GAghY5HJgKQ7/HLNDMmDyJIb73SMOy6+QaDt94GyTCu71Y68UnwfX3KAV0PsbZ0n8cp1bCXywxkDrMrNiDY/jfD8fwjELuxAxyf7k3yZAmAVJPewCrb2bq2NGZ6ROKkfys4WwE+qKMQgBTK7Ip9/c3XC0lyQmID0QOiB0QP/J89ICwgmFgE5OqLT2i55CKb7aYepdFu+WXIpBIcGVyJqf4tl89GTRmXpM5sRPBPk9j9f3Zxsg4vApBkuev7NE42APlWCta3nEYKKFgEDsiIXkUggyIjQhUsAhi0qKbogbGRQpStra0uD2TatGmYPHkyyxVp1qwZW+jv2rWL5VP88Yf5YlCU9zF06FCzFCxjQLBz5062sCf1KcrD4E2lUrFIDNG8aO70d5YsWRiIEUY76HPqT1EMc5YYAKFjE9CicyN1LnOggoASUa0I9BA1jZLey5QpIwKQb7mnk9P30Cjg8t8AKcf1u4KDd9/h9403UCpbWmzrXTbxkXgAkrEQ0Psca1sy4BjCouKwr85XFDrVTdefAEQP2X6MlWuVt+gbopGsbwY8P64/TuO/0OlGTqx9raceKocF4+SrBFTMLIX9XL28No2ZGO/Z3OSFAOSufy1QjR3RRA+IHhA98Ct64FJQONosu8SmfmN8TaR1Mk9Fp42h7KMPwtZGijsTayHfeC7qTHLrpHpooCpYcRhQffyv6I7/+5xFAPJ/vwRAsgHITzBna6YgpGBRe1owE1AgMDBr1iydDG/79u3ZQv74ccHCyugAfB4IqVhRBIT6k3IURUAOHz7MFvz16tUzOy0+CZ3yNIi2JTRjQEARF4rI8CCAb0t/U14GRTwoSkEAgPJaiComBCpEo6LzIVqWOfncxJLQKUJEcyVql7kkdOOTI1pbyZIlsWDBAhAwo+gIn6hvzfX5ljb/WQrWnn7AzfWc6/wjcOLRB3Rdcw2FvV2xt5/56ADJQxeceFj30tKkz4MjVfehmN1beGyoxihRwnB+zbiZeMoK/MHwRTfhM7CqFqeklbUCUGkokLMaBm65ifmPqrD2D6W5kX8ClzzJjJJwVUq2O6chjSsr87f47jwAsSrC8y03lNhX9IDoAdEDP8AD2669Rk4Pp2RJfucbf4jVAuFNB0AyFAT6nP8Bs/53HkIEID/Bdf2vABByNeV7UBSBFrC8gjPRsmgXnyhGlGRNyldER6LdfVLAIqO2BDwoz2PPnj0smnL79m0UL86phlGORGI60jTOwIEDmQwvASOS4aU+lMxOoITmQDkgZARk3rx5wxSzcubMyVSpKImdEugPHuTkV5s0acLkhbds2WJwB9E8KTIyfPhwdjxjMyfDe+/ePVZfhGR4Dxw4wBLLyYQREFLHIiWwRo0aMSra48eP0bZtW0yd+j/2zgI6qqOL4/+NEwgaLBBIcHd3l0LR4lIoUqAULa7Bixe34i5F+iHF3d01ISQECyEhEM/ud+68rCWbZDdvA5E753Ca7s7Mm/eb2ffmP3PvnWkiBDD5uNB5JCSIqJ0ODg5ixyaxUqoVIO6ngY3SIYQkQC6+8BXb8wWypcPxYTF9cyjbpksvMWH/A42Y8FZlRY3Qv/TFRVRH1Q6dD0+VNlCCx4QqUMzJJ337+01gWyfA9wnQ/QCQT7reiF13YHd7LUZY7cR8x6mY/Htvs3X7L+uv4czTD9jdryrK5pHCaHNiAkyACaQmAmrn9eoFsuDC84/aZ3fvE0BuDj2e0LHAAiSh5MxYLjUJEE9PTxQuXFiYOOkeIUM7DOPGjRMO5fQ5TfzJ0Xzs2LEa0hRlisy51GKD8pHzd758+cSORXyJIkSRqCBfEWJOOxS0i0BRpSiMrzrRdzT5p10OEiI0oW/evLn4jKJLkeM7fUaTfvLViJ7IlIycxUnURE/RDyK0t7dH3rx5heig6F7k16JOugKErkntpLZTaGPy/SAn+kmTJgkTMOJJOy+0i0SRxzgMb3yjIYHf+7kDi8oC1mmBcT548jYQjReeRUZ7a9yeaNjvZ+mp55jz3xPNS+uryhYBSAsnhXT4nm4iM6kulfNgemtJDIu0qg5A5/c4FgJ8n0qf9TkJ5JLEtzayiwrNSjnFH43LhFv/GhohTj3PlzVmcAcTquGsTIAJMIFkS6DJwrPiLJDSuTPgjrc/ztsORjaFP2yGPwQcOORuQjuWBUhCyZmxXEoVIGZExFUlMQKpdgeETJrofAFK497ifbAClWacEJGp3Wf8YNDEacahR1h11t3gjodut5YKWQVFmky4NaEhLCwU2q/2/Qbc3qw/AgZcAbIVEZ/NP/YUi05IEbM6VnTGrLaGY9snsSHEzWECTIAJJAsC7VdewlUPP+RIbyfC+GZIY43/BtdEjgx2Rh9LkCxu9Bs3kgXINwZu6HIsQJJAJ3ATTCKQagUIBYCY6ggoI4ChDxFgnQ2lpxwV7J5Nbwpry5jhl0fuvoOd171jFSB0zkemxmNQvUYsZ2ycmAKcm6ffP4PvAJmkAy9PPHqHXhskv49eNVwxoXkxk/qSMzMBJsAEmEDsBDqtuiwOI1SnwfULYmjDQoxMJgEWIDIBmqM4CxBzUOQ6viWBVCtACLI6mhX5eI/z00RIue/WGOlsrWJ0g9qRWy9ySlSuxRGtMC+iPbb1qYKq+bMY7sLgT8CfktgQycEJGHJPnMRO6dm7QDRcIJ103ruGK8azAPmWPwW+FhNgAimcQPTzkEY1KSIiYnGSR+C7C5CNGzcKW//EdJiVhyjxS7MASXzGfAXzEmABIvFUTvRHvrFSYIIb4xsgS7qYjv+xCZCCIRsRDklEbO1dGdUKOMbeSerwv1kKAL/fiJFPfY0GRbNhzc8VzdvZXBsTYAJMIBUTiC5AJv1YDD2ru6ZiIua59e8uQCjc6Js3b0SEo9SaWICk1p5PvvfNAiSq7yZ8RKGJxxAWqcTF0fXglDGNXqeq48nTh7o7IIPCfsMBZXVN3nU9K6Ju4XiegUolYBHTxIsqUb8gu1XJi6mtSiTfgcUtZwJMgAkkMQLRBcjstqXQvqJzEmtl8mvOdxcgFMGHzoBgAZIBAQEBMULJpuqJXvL7PaWaFqfqcakbinf0K5SceRmBoRE49UcduDqm1RsDQWERKDbxPyig1DvZvFjIWgTBTpN3ZbfyaFxcG37X1IF069Un/HvnDcb+UARWBvxQTK2P8zMBJsAEmIBE4OarT2iz7KIGx/Iu5dC0ZE7GI5NAkhAgFGI0a9asMm8l+RY3ZgfExcUFadLor64m3zvmlid3AsHBwVCHFKbzUFJVIkf0KVkAVSQw7DEqLLoP3y9hODKkJorkSK+H4n1gCCpNP4GGFtex2ma++K5u6DxM7NECPddpQ0cv7lQWP5Z2SlUY+WaZABNgAsmBgK6fHbV3c6/KqFEwDpPZ5HBTSaCNXoMaeQAAIABJREFUSUKANG3aNF4fkH/++ScJ4EqcJsTVCZGRkXj69KnYITJ0snbitIhrZQJxE6DdOjrtnc4tsba2Tn24ZuYBQgOAgTdQfc0rvPYPxv7fqqO0c0Y9Fp4fv+KXuVtwwnaE5nPa/TgwrDEazD+j+YwO+qvgkjn1ceQ7ZgJMgAkkcQI+/sGoNuukppWGnvVJ/BaSZPOShABp3759vKv7dLBaSk3xdQL5yNDhciRC6OA6BR06wIkJfCcCSqVSiA8SHnny5Emd43FeUSDQB+h7BvW2+sPd9yt2/loVlVz1RcRDn89YvWQGFtgs1/RW4ZD1ODS8IerPkwRIlrQ2uDGh4XfqTb4sE2ACTIAJxEUgJDxSE+2Q8p0cXpsPZzXDkIlv7hvfJRQq3eOs48tt4Hv2AYE4lZtO2DbkA0LICDH5yZAI4cQEkgIB+t26urrCxsYmKTTn27dBHYq38040OZRGnJK7qVcl1Cyob0p6w9MPJ1aNxkjrHZo2uoRswYnhdTQChM7toPM7ODEBJsAEmEDSJEA71s/ffxGNuzquPrI5pDLT40TolvjmvvFdUrYA4ShY8QsQdSeQOVZ4eHh8fcLfM4FEJ0DCg0RIqk1qAVKmC1q+7oI7Xv5Y0rksmpfS9+M49+wDPDb0R3erYzoCZCtODK+tESAz25REp0pRp6unWqB840yACTCBpEtg7N572HrllWjgoylNkMbGMuk2Npm07LsLEN4BMV6AJJMxxc1kAimfgNoEq4EbXP5XUHO/L2c107v3/x68ReNdhfU+cwnZKrbw60WZYP3VsQxalsmV8pnxHTIBJsAEkimBMf/cxbarXqL1HjN/SJ2mx2buu+8uQM6cOYPq1avDysoKJ06cEP/ev38PsjPXTWvXrjXzrSed6uR2QtK5E24JE0glBA6PAq6sAGoMhctx7cF/0QXI3lveaL2/uAbKuPBfsCWygZ4AWdujAuoVyZ5KwPFtMgEmwASSH4HRe+5i+zVJgER/zie/u0kaLZY795VtgqXG4ObmhilTpqBChQrImTNnDHW5d+/epEEsEVohtxMSoUlcJRNgAnERODsHODkNKNsVLpd+0OSM/mLade4O2p2oJb7vqJyKy2H5xd+0A7L+4kvhO7Kld2VY89kdPN6YABNgAkmWQM91V3HqyQcWIGbsIblzX7MJEBIds2fPRrdu3cx4e8mjKrmdkDzuklvJBFIQgRvrgX8HA4Wa4EyFJfh57VXY21ji4ZQmeje5+8hx/HS5rfjsrxrXseD4U/G3oUMLUxAdvhUmwASYQIoi8O8dH/y+7RYLEDP2qty5r9kECJ1xcfXqVeTPL60QpqYktxNSEyu+VyaQJAg8Pghs7wzkqoBnLfah4YKzyGhvjdsTG+k178bqgSj/epP4bHW9W5h+6BELkCTRgdwIJsAEmIDxBCga6c1X/iiQNR0y2KfCs6+MR2V0TrlzX7MJkFGjRiFdunSYMGGC0Y1PKRnldkJK4cD3wQSSDYFXV4C1jYCMeeHZ7RJqzzkdcweETkx30x5MOKX8Jay94CFu8fQfdeDimDbZ3C43lAkwASbABJiAOQnInfuaTYAMHjwYGzduRKlSpcS/6Kcrz58/35z3naTqktsJSepmuDFMIDUQ+PgCWFwOsE6LNwNfoOrMk7CyUOD5DK0/CJ4cAbZ1EDRuqApjbq5FuOT+kQVIahgffI9MgAkwASYQJwG5c1+zCZC6devG2lA6+fvkyZMptivldkKKBcM3xgSSKoGQz8AsZ9G6j4NfovyfF8Xf7lECZMTuu/jNdxryvT8qPn9tVxCjHJfi/HNfFiBJtU+5XUyACTABJvDNCMid+5pNgHyzO06CF5LbCUnwlrhJTCBlEyDzqmnZgchQfOl/CyUWSL4dj6c2wa1X/ui0+jJmWa1CR6vTGg5jSp3TxJE/M6IO8mZhE6yUPUj47pgAE2ACTCA2AnLnvixAzDC25HaCGZrAVTABJmAqgfnFgM+vEfbLcRRa9l6Uvju5Ea55+KHXhutYaz0b9Sxvi88/1pyC14V/RoslF8T/HxtaCwWzO5h6Rc7PBJgAE2ACTCBFEJA792UBYoZhILcTzNAEroIJMAFTCSyrBrx/AFW3fXBdHSRKXx/fAHe8/IUA2WczAWUsXmBmeCcMmbgE93w+o/3KSyLf1bH1kS29nalX5PxMgAkwASbABFIEAblzXxYgZhgGcjvBDE3gKpgAEzCVwJqGgPdVoMMWuGxQiNL/DqyBV35B+G3rTfxnMxKFLbzRJWwMtswYjXPPPqDb31dFPj5J11TYnJ8JMAEmwARSEgG5c18WIGYYDXI7wQxN4CqYABMwlcDGVoD7KaDNarhslfw5VnevgM/B4Ri+6w7O2QyGs8UHbCu1Fp3atMXxh+/Qe+N1FiCmcub8TIAJMAEmkOIIyJ37sgAxw5CQ2wlmaAJXwQSYgKkEtncBHv8PaL4AVY/lxZuAEGztUxkevl8xbu99XLftB0fFZ1z/4SAqVKoB9w9fUG/eGRYgpnLm/EyACTABJpDiCMid+7IAMcOQkNsJZmgCV8EEmICpBP75Fbi7HWg4BYUOFUJYpBL5HNOiS5W8mPq/h3ho2xP2ilC87n4ZufIVFbVfcf8IRwdb5M+aztSrcX4mwASYABNgAimGgNy5LwsQMwwFuZ1ghiZwFUyACZhK4MhY4PJSoExXuFzWOYAQgAJKeNh1FTV++PUesubMY2rtnJ8JMAEmwASYQIolIHfuywLEDENDbieYoQlcBRNgAqYSUO+AAHAJ2apXOg1C8MjuF/FZwJCXyJAxk6m1c34mwASYABNgAimWgNy5LwsQMwwNuZ1ghiZwFUyACZhK4MpK4PBIUSq6AMmCANyw6y++CxnrCzsba1Nr5/xMgAkwASbABFIsAblzXxYgZhgacjvBDE3gKpgAEzCVgNc14O8GQIY8cHk3S690ccVLHLQdiyCVLewmvYOFhRSmlxMTYAJMgAkwASYAyJ37sgAxwyiS2wlmaAJXwQSYgKkE/NyBRWUBa3u4BK7RlM6AL7hj11f8v68qPRzdvEytmfMzASbABJgAE0jRBOTOfVmAmGF4yO0EMzSBq2ACTMBUAiGfgVnOolThkPWoaPEEm21m4lxkCdS0vK+tbXKAqTVzfibABJgAE2ACKZqA3LkvCxAzDA+5nWCGJnAVTIAJmEpAqQSmZAagQsWQZbhmN8BwDSxATCXL+ZkAE2ACTCCFE5A792UBYoYBIrcTzNAEroIJMIGEEJiVBwgJgFve9Zjk2YMFSEIYchkmwASYABNIdQTkzn1ZgJhhyMjtBDM0gatgAkwgIQQWlgL8PeHRch9c97eKWYNzFaDXfwmpmcswASbABJgAE0ixBOTOfVmAmGFoyO0EMzSBq2ACTCAhBFbWAt7cwesfNiDXoZ/1a7CyA4Y/BtLwGSAJQctlmAATYAJMIOUSkDv3ZQFihrEhtxPM0ASuggkwgYQQ2NAC8DiDdw0WI/vx3/VrKNEW+GltQmrlMkyACTABJsAEUjQBuXNfFiBmGB5yO8EMTeAqmAATSAiBnd2Bh/vhV2saMp8dr19DuZ+BFosSUiuXYQJMgAkwASaQognInfuyADHD8JDbCWZoAlfBBJhAQgj8Oxi4sR4BVUYgw+U5+jVU+x1oNC0htXIZJsAEmAATYAIpmoDcuS8LEDMMD7mdYIYmcBVMgAkkhMCxScCFhfhati9e3DiGUhYe2lrKdgNaLklIrVyGCTABJsAEmECKJiB37ssCxAzDQ24nmKEJXAUTYAIJIXB+AXB8MkKKd4D7vcsoZuGpraVMV6DV0oTUymWYABNgAkyACaRoAnLnvslWgLx8+RJTp07FyZMn8fbtWzg5OaFr164YN24cbGxsNJ1+7949DBw4EFevXkXmzJnx66+/YsKECVAoFJo8e/bsEZ+9ePEC+fPnx/Tp09G6dWujB47cTjD6QpyRCTAB8xK49jdwcBjCCjaDx5M7KGzhra1/wGUgW1HzXo9rYwJMgAkwASaQAgjInfsmWwFy5MgR7NixA506dUKBAgVw//599OnTB926dcPcuXNF1xKcQoUKoW7dukKYPH36FD169MCkSZMwfPhwkefSpUuoWbOmEDMkOvbu3YuJEyfi/PnzqFy5slFDRG4nGHURzsQEmID5CdzdBfzTGxF5a8LT4znyW7zRXmOsD2CT1vzX5BqZABNgAkyACSRzAnLnvslWgBjqtzlz5mD58uVwd3cXX9PfY8aMwbt372Brays+mzVrFhYvXgxvb2+xC9KhQwchVA4fPqypskmTJsiUKRO2bdtm1PCQ2wlGXYQzMQEmYH4CT44A2zogMmcZeL1+AxeLd9prTA4w//W4RibABJgAE2ACKYCA3LlvihIg48ePB+2MXL9+XXRt9+7dERAQgP3792u6+tatWyhXrpwQKa6ursiTJw+GDh0q/qnTggULsHDhQnh66tiDxzFY5HZCChiHfAtMIHkSeHEK2CSdgO6tckRuhS86h43F1ilDACtp0YITE2ACTIAJMAEmoE9A7tw3xQgQ8t8gYTFv3jz07t1bUGrUqBFcXFywatUqDTUfHx/kypULFy9eRNWqVYW/yPr169G5c2dNnq1bt6Jnz54IDQ01ON7oc93vqBOcnZ2F2EmfPj2PUSbABJILAa9rwN8NRGvfqjIhh+ITjtbciUb1GyeXO+B2MgEmwASYABP45gRSnACZPHky3Nzc4gR57do1VKhQQU9U1K5dG/RvzZo1ms9JgNAux8qVKzWfvX79Grlz5xa+H1WqVBECZMOGDcKXRJ22bNmCXr16ISQkxGA7YmsjC5BvPv75gkxAHoHwYGB6Dr06HrU6jKJlqsmrl0szASbABJgAE0jBBFKcAPH19QX9iyvRroadnZ3IQjsa5GRODuO0k2FhYaEpmlgmWLwDkoJ/UXxrqY/A5Ax69/ymy2nkLFg29XHgO2YCTIAJMAEmYCSBFCdAjLxvkY12M0h8lC9fHps3b4alpaVecXJCHzt2rHBCV4fm/fPPP7Fo0SI9J/TAwEAcOnRIU7Zp06bImDEjO6Gb0hmclwkkVwIbfgQ8zmpbP/AG4Fggud4Nt5sJMAEmwASYQKITSLUChHY+yOSKnMg3btyoJz5y5JBMKsgkqnDhwqhXr54QIs+ePRNheCnMrjoML/mC1KpVS5z90bJlS+GwTs7sHIY30ccuX4AJJA0CG1sB7qe0bRl0G8jsmjTaxq1gAkyACTABJpAECaRaAULmVuQobiipVCrNx3QQ4W+//SYOIqTQuv369RMCRPcgwt27dwvRQZGx1AcRtmnTxujultsJRl+IMzIBJmB+AodHA1eWa+sdch/I6Gz+63CNTIAJMAEmwARSCAG5c98UEwXre/an3E74nm3nazMBJgBA1w9k2GMgfU7GwgSYABNgAkyACcRCQO7clwWIGYaW3E4wQxO4CibABOQQ0BUgfzwH0mWVUxuXZQJMgAkwASaQognInfuyADHD8JDbCWZoAlfBBJiAHAK6AmSkB2CfWU5tXJYJMAEmwASYQIomIHfuywLEDMNDbieYoQlcBRNgAnIIXFkJHB4p1TD6FWCnH5pXTtVclgkwASbABJhASiMgd+7LAsQMI0JuJ5ihCVwFE2ACcgi4nwY2tpRqGPcOsJbOGeLEBJgAE2ACTIAJxCQgd+7LAsQMo0puJ5ihCVwFE2ACcgi8OAVsaiXVMNEPsNA/U0hO1VyWCTABJsAEmEBKIyB37ssCxAwjQm4nmKEJXAUTYAJyCOjugEwOkFMTl2UCTIAJMAEmkOIJyJ37sgAxwxCR2wlmaAJXwQSYgBwCIZ+B+UWBdNmAQbfk1MRlmQATYAJMgAmkeAJy574sQMwwROR2ghmawFUwASYgl0DwJ8DaHrCylVsTl2cCTIAJMAEmkKIJyJ37sgAxw/CQ2wlmaAJXwQSYABNgAkyACTABJsAEvgkBuXNfFiBm6Ca5nWCGJnAVTIAJMAEmwASYABNgAkzgmxCQO/dlAWKGbgoICEDGjBnh5eWF9OnTm6FGroIJMAEmwASYABNgAkyACSRNAiRAnJ2d4e/vjwwZTD87iwWIGfrV29tbdAInJsAEmAATYAJMgAkwASaQWgjQ4nvu3LlNvl0WICYji1lAqVTCx8cHDg4OUCgUZqhRvwq1yuQdFrOjjbVCZv7tWOteibkz9+9DwPBVeTx+n95g7t+eOzP/9szpismZu0qlQmBgIJycnGBhYWEyQBYgJiP79gXk2tl9+xYn/ysy8+/Th8yduX8fArELEDItIDNbNq/9dj3Dz4Fvx1p9JWb+7ZmrBUhqfcawAPk+Y86kq/KDwSRcZsnMzM2C0eRKmLvJyMxSgLmzADHLQDJTJTwezQTShGqYuQmwzJg1NXNnAWLGgZRYVaXmAZpYTOOrl5nHRyhxvmfuicM1vlqZOwuQ+MbIt/yex+O3pC1di5l/e+apnTsLkO8z5ky6amhoKGbOnIkxY8bA1pYPSTMJXgIzM/MEgpNZjLnLBJjA4szdMDjmksABJbMYc5cJMAHFmXkCoJmhSGrmzgLEDAOIq2ACTIAJMAEmwASYABNgAkzAOAIsQIzjxLmYABNgAkyACTABJsAEmAATMAMBFiBmgMhVMAEmwASYABNgAkyACTABJmAcARYgxnHiXEyACTABJsAEmAATYAJMgAmYgQALEDNA5CqYABNgAkyACTABJsAEmAATMI4ACxAdThRp6p9//sHjx4+RJk0aVKtWDX/++ScKFy6syUURC/744w9s27YNwcHBqF+/PpYtW6Z3DP3gwYNx/vx53L9/H0WLFsXt27dj9MZ///2HSZMm4cGDB7Czs0OtWrUwd+5cuLq6xtlze/bswYQJE/DixQvkz58f06dPR+vWrTVlvnz5gtGjR2Pfvn34+PEjXFxcMGjQIPTv3z/OeqmegwcPirba2NjA399fL//69evRs2dPg3W8e/cO2bJlM27ERcuVWpm/fPkSU6dOxcmTJ/H27VtxkmjXrl0xbtw4wZ9SSEgI+vXrhxs3buDRo0do3ry56FdzJOYeO3fqG0O/w8OHD6NJkyay8DN3w9zVXOiZGRERAaVSiezZs2Po0KEYMWKEYJ7Un730HBw1ahSOHj0qnp/0TF+8eDEKFiwY55j59OmTeEYfOHBA5GvRooUolzFjRn4OAIjvnZdY3BPrOZASngGJxZwG/M6dOzFjxgw8ffoUWbNmxcCBAzXPADkP39TMPb75Hc0Vu3Tpgrt374p5I83nWrZsKfohMQ9gZQGiM6JpctGxY0dUrFhRvARpMnjv3j08fPgQadOmFTlpIv/vv/+CJuRZsmTB8OHD4efnJyaJlpaWIg+9TEi0XLlyRXRodAHi7u6OYsWKYdiwYejVq5c4ZZdetBSH+9atW7H+xi5duoSaNWuKiSuJjr1792LixIlC7FSuXFmU69OnD06dOoU1a9YI8UEvwwEDBoiHOA2o2BKJIXrheXt74++//44hQEhsUTt1U48ePcQk+fTp0wl+LqRW5keOHMGOHTvQqVMnFChQQIhV6rtu3boJIUrp69evQuyWK1dO9B8JVXMJEOYeO3f1xOP48eMoXry4ZmxnzpxZIw4TOuCZu2HuxIWeiYsWLRILKBcvXhS/CYVCIRZcaBKSlJ+9KpVKLFhZW1tj3rx54qU9f/580O9c9/1haNw0bdpUPHdXrVolvu7bt694dtN7hp8Dcb/zEpN7Yj0HkvszIDGZ0yKPWoA3atRILLz17t1bzMXoGSAnpWbu8c3vaBFk+/btYu5Lou/58+f47bffxNxj69atcrDHWZYFSBx4Pnz4IJTgmTNnxGoWTcCpczZt2oQOHTqIkj4+PnB2dsahQ4fQuHFjvdomT54sJozRBcju3bvFxJNW9CwsLEQZetmQQKDP6CVmKNE1SaTQj1Sd6EeVKVMmsSNDqUSJEqJt9NJWp/Lly+OHH34QwiW+RMJqyJAhMQRI9HLEJleuXEKs0KTZXCk1MlezmzNnDpYvXw4SqNETiT1aVTWXADHUn6ltrMfGXT3xoMWAMmXKmGtoG6yHx7t2vHfu3Bnh4eHYtWsX1Fxo0kFjnhaCaHwm1WcvrdbSohOJJrVojYyMFG2mXXSaRBlKNMEi4XX58mXNIhL9XbVqVbETr7v7TuX5OQCxC6l+5yUm92/1HEhuz4DEZK77DFD/XhYuXChE/atXr8SChLlSauGuy8vY+R2VocUgmpN4eXmZC3mMeliAxIGWVCBtn9PLjyb2ZC5DJle040EPQHUqXbo0WrVqBTc3N73aYhMg9GArUqQIli5dKl4oZDZFq98kLmjFLLaUJ08esVNC/9RpwYIFoB+op6en+EhtskMvbTLrod0JWlEg0VKjRo14B5KxA5QeCCRo3rx5I8zVzJVSI3M1u/Hjx4v+v379+jcXIMxdy1098aCFBdrho2cA/eZ++ukncw1zTT3MXcu9bdu2sLe3FyJDzYUWUug5s2XLFmEikFSfvfSOKFWqlGg3mcaqU86cOcXCFD1XDaW1a9eKnfDoJq+0G03P9uhmr4ktQJLbeExM7t/qOcDMtWNd9xmg/r2sXLlSzGs8PDzEzqC5UmrhnhABQgvrJAZz586NzZs3mws5CxBjSdI2I+1I0NbUuXPnRDHaiqIXAu1S6CbaKiSbcfqh6KbYBAjlOXv2LNq1ayfs7WiljFa8aBdFbfdrqJ3kG0AvMhoY6hS9TWFhYULMbNy4EVZWVmKHhcyxjN2lMFaA0Cpf7dq1hf+LuVJqZU78yKeHtjtJ2BlaLU3MiQdz1+fu6+srJsHVq1cXvx+yzScb2g0bNgg/HXMl5q7PnUyQSOjt378ff/31l1jcIDNE2gmgZynZIyfVZy/t3JBQrVSpkngPkMkumWCNGTMG9H4gnz9Die6Jnrm0qqybChUqJN41VF438XNA/z2cmNy/xXMgOT4DEpO5+hlAz9y6desKQU/zMHoGkFkmzZPMkVITd1MECFnm0POXTO5//PFH4Y9Dpt+JlXgHJBayZP9GTtnkX0EqMC4B0rBhQ7HqtWLFCqMECDkdk0kX7ZpQhwcGBgpfDhIMx44dE1tetC2vTmPHjgX9IwFCkyAqo060Mkh+JLRSS4n8B1avXi3+mzdvXiF06CVG/iINGjQQKwm6ipZ2X0wZoJSXfFHI3plW6sm8y1wptTKn1QYSc/SPxKKhlJgTD+YeO3d1X/z+++/CFJN8usyVmLs+d5oUkP8HiXBalMmQIYMQJCQ+pkyZgmnTpsUQIEnp2Ut+gPQsvnPnjvAHpOet2sSWFpcMPXtJgNAz/cmTJ3rDisQM1UU8vpUASa7j8VtwT6znADOHEO7qsa5+BpD5Dwkd8qWioD70DCCfWhL45kipibsp8zuam9JuLD2PaM5p7kXm6H3HAsTAaKbJBpkw0eRdNxqOuUywyKyATKJ0TW3ICZFMPmhyX6FCBdD2rzqR8yv9i88Ei1QrvbRJbDRr1kxTnlbUqX4y73n//r0w9VIncoA2ZYBSXnpY3Lx5M06HeVMfEqmVOYkPWumhIAK0EqqesETnl1gChLnHzV1X6NPviH5j5kjM3TB3NRdaeaPFjRMnTgj/NfKbIxM4uSZYifXs1R0T5CtIO9HkL0i/a3qek7mtoWdvUjHBSq7j8VtxT4znADOXqBoyN6QFCJoM029I/QyQE21Td5ykNu6mzu/U+WnxnYIe0RyFTEkTI7EA0aFK6psGJ03gyXcievhEtRM67SC0b99elCQzAdohMcUJnSJnUeeSolcnqod8Ni5cuCB2Fwwlci6n3RK6ljpRBBX6AZMTOgkLEiD0PX2uTr/++quwn6SIWPGl+EywaMeEBiOFtJMblYLakpqZv379WogPmmjRmFJHUTPUR+YWIMzdOO7qvqBoZBSi21CAgPh+U7rfM3fD3GPj0r17d2GGQQs2NBlJqs9eQ2Pg2bNnwteP2k5mWIaS2gldd3WX/q5Spco3cUJP7uPxW3E353OAmWt3MuIa62rm6mcAmWDJSamVe0IFCLkekKWOuX1vdNvDAkSHBoWrJZ8KsoHTjT5Ck3q1ozWFgvzf//4nVqtpV4ImJuTHoRuGl16YNFEnkywKiUvhVimRWRWZUdFOCm3P07ai2gSLtrvIzpFeSLE5ddMPkAYE2aOTXSS1kxyXdcPw1qlTB2S7umTJEmGCRWYj1GayR47rLBCKMEGri2R7SZEP1H4vtEOSLl06DSWKekXCg1SxriN+Qh8MqZW52uyKdrXIX0dXfOTIkUODk0J40moqmeiR+CTHVEpyozMx99i5k0kMRaIrW7as2JGiCHX0+6RoRroBIBIy5pm7Ye7ERW1OSiHGydeDwkKS4KCdaDK9SOrPXoreRSKJftPkHE2mI7S4QCG040q0WETPA7UPIYXhpWe3OgwvleXnQOzvvMTinljPgZTwDEgs5jR3od1OmseQWfm6detEeGqax8g1v0rN3OOb39GiNe0wURhemu/R82bkyJFicZvml4mVWIDokI0txBv9CGgFmhL9KOhgLBIqugcRkvmUOtGPh34w0ZOukqSX6+zZs4XzIUV+IecqmuDQillciX6cJDpoJVZ9EGGbNm00RWjbknw+aLeDBAW9yOiFRhOnuELY0f3RAzd6IgFF96NOtDtDZmk0WTBHSq3M4zrYkVZq1ImifqgjnOny1s2TkH5g7jGpqZnS74B+i8SdhCE5BFNoanM4oDN3w9xj40LPOnX48KT+7FWHraQXOe0S08otmXypDxaN7XdKz+noBxHSApJuQBJ+DsT+zkss7on1HEgJz4DEYk4ChJyfScDT85jmRbTgqj7nLCHvOnWZ1Mw9vvkdzfPorBUSHrT4Q/NZmleSD1pcgZHk9AeVZQEilyCXZwJMgAkwASbABJgAE2ACTMBoAixAjEbFGZkAE2ACTIAJMAEmwASYABOQS4AFiFxU12LTAAAgAElEQVSCXJ4JMAEmwASYABNgAkyACTABowmwADEaFWdkAkyACTABJsAEmAATYAJMQC4BFiByCXJ5JsAEmAATYAJMgAkwASbABIwmwALEaFSckQkwASbABJgAE2ACTIAJMAG5BFiAyCXI5ZkAE2ACTIAJMAEmwASYABMwmgALEKNRcUYmwASYABNgAkyACTABJsAE5BJgASKXIJdnAkyACTABJsAEmAATYAJMwGgCLECMRsUZmQATYAJMgAkwASbABJgAE5BLgAWIXIJcngkwASbABJgAE2ACTIAJMAGjCbAAMRoVZ2QCTIAJMAEmwASYABNgAkxALgEWIHIJcnkmwASYABNgAkyACTABJsAEjCbAAsRoVJyRCTABJsAEmAATYAJMgAkwAbkEWIDIJcjlmQATYAJMgAkwASbABJgAEzCaAAsQo1FxRibABJgAE2ACTIAJMAEmwATkEmABIpcgl2cCTIAJMAEmwASYABNgAkzAaAIsQIxGFXtGpVIJHx8fODg4QKFQmKFGroIJMAEmwASYABNgAkyACSRNAiqVCoGBgXBycoKFhYXJjWQBYjKymAW8vb3h7Oxshpq4CibABJgAE2ACTIAJMAEmkDwIeHl5IXfu3CY3lgWIychiFggICEDGjBlBnZA+fXoz1MhVMAEmwASYABNgAkyACTCBpEng8+fPYvHd398fGTJkMLmRLEBMRhazAHUCwSchwgLEDEC5CibABJgAE2ACTIAJMIEkS0Du3JcFiBm6Vm4nmKEJXAUTYAJMgAkwgW9L4PEhIMAbqNz3216Xr8YEmMB3JyB37ssCxAxdKLcTzNAEroIJpA4CXleB6+uAhm5AumzSPf/TFwgPAtptBBLgCJc6wPFdMgEzE1jXDPA8L1U66BaQOZ+ZL8DVMQEmkJQJyJ37sgAxQ+/K7QQzNIGrYAKpg8Bkyc40skgLWDaeClz7G7i4SLr3gTcAxwKpgwPfJRP4ngTu/wPs7qltQZs1QKl237NFSfPaKhXgeRHIVhSwz5w028itYgIJJCB37ssCJIHgdYsZ0wkUriwiIgKRkZFmuCJXkVIIWFtbw9LSMqXcTuLfR5QAibCwg5UyRP96vU8Cucsnfhv4CkwgtROI+h1qMDg4AcMfpXYqMe4/8uG/sNzZFeEZ88G6z3HAJi1gbcecmECKIGDM3DeuG2UBYoZhEF8nhIWF4c2bNwgKCjLD1biKlESAzo2h8HXp0qVLSbeVePcSfeIT7Upfmq9EugodE+/6XDMTYALA5IwAVPokJgcwmcC3wLzCEofOO4Gt7WMyGeMN2DokDqtz84G7O4H+F9kcNXEIc606BOKb+8YHiwVIfISM+D6uTqBDCp89eyZWubNmzQobGxs+rNAIprFmUSmB8FBpFSmZH/pIu2IfPnwQwrRgwYK8E2LMuIhHgFAVFUOW4eTk9nCwszamRs7DBJiAKQQiI4Bp2QBVJNB6JbD3V6n0sEdAeidTakp5edc0ALyvxX1f9SYAtf4w/73v6QPc2ynV23AKUH2w8dcgU7Gwr4CtvIWw8EglIpUq2Fnzrr7x8JNvThYgSaDv4uqEkJAQeHh4IG/evLC3t08CrU2GTVBGAFAgUgVYvrsrbiDSxgGWKcDePzg4GC9fvoSrqyvs7FLo1jxNWCytZA+8yOAAWP6Zx6h62oZOwp6Zw4zKy5mYABMwgcDrG8DqelKBiZ+AKZmkvzvvAgo1MqGiFJjViAUScdejXgJporiZA0OQHzDbVVtTgQZA1z3G1/zvEODGOqD+RKDmcMPlPr0EDo0AGrgB2YvFyEMLaq5jDonPL46uB6eMaYy/PudMlgRYgCSBbjNGgKToCaaZ++BLSARCIiKRJa0NFLTj8VYSHbThr9C9Vs4yyX4XRC1QU9z4CP4EvL0vvWTXNgaqDwFqjzB9pDzYC+zpDXTbC2z40aTyT9qdReHipU0qw5mZABOIh8C+AcDtLSLTpLIX8IvXOOT1PQ3U/AOoPyH14vt3MHBjvdH3r+p3AYocJYzOH2fGN3eAlbX0s9QeBdQdG3/9tPvhRiZ1UcmQKV14MDA9hzbP+A+AlY1e3SHhkSgy4Yj4bFjDQhhUv2D81+YcyZoAC5Ak0H0sQMzbCXe9/UWFro5pYRMeCNtAT4MXUGUpCIXMLWPzttz02r6lAPn4JRQPfD6jZkHHxDMDVCpxd/NIlHJfHROGKTbi7x4Cy6vGCjRUZQVbBe2MAS+UOTE+4he8VObAJbvfNWWul5yMCm2Hmt4pXIIJpAQCH19IIart0gNt/5YXhcnfCwj7IkVz2tgKcD+FuxZF0SJoAu7b/oJ0iqiAEJP8k/2iUIK6/sNTYGnFOIuWClmNu3Z99POMeAGkdUzQJfUK0Xks2zvFrGfcW8A6np2I0C/AzFzasrbpgdDP0v/nrgR4X41Z75B7QEbtbrQq6BNmTR+DMdbb8E9kDdyu8CemtDSTuJJPh2tIJAIsQBIJrCnVsgAxhVbseWkL9+OXMPgEBEvPvkz2sA71g0PIm9gLOZWN8V1AcDg8P34VW8CO6WzN07hEqkUtQHLkcsZZ9wDUKZwNGdIkju9CyyXnccc7QNR/Z1IimErQJGVhHC+diX6AhZG2wStrA29uG6ReLWQRfOCIkVbb0dXyOJqFTYeXKjv618mPUQ3ywWdedTgFP8X53H1Qo/fcROo5rpYJJHECf5UBPnlIjSzTBWi1TNvgq6uBS0uAXseBdFm1n3/yBII+AhZWQCYXKWrT9bXAoZg+CyPC+2JXZB1MstqAnlb/SXXEFYlOqQQO/A48OwqU/xmoN14q8/mNJG4ck/GKOZ1P9HdDcTt3lPlQ2sJdb3BcbnsV3mFpMXLXLVy1HQBHRdQEn3KZ8lw0NOSC/YE/8xoejM0XAhV0wiUbyvXqCrDWtPdBZIl2sPxpjajt47WdyHJQX1i5hmzG9fGNkCWJv3+T+C84yTePBYgZu2jZsmWYM2eOiFhVvHhxLFy4EDVr1oz3CilVgPTo0QP+/v7Yt29fvAzMkeHd5xDQP3XKk9keiq8fkCH8fezVGxAgD70/IrMiEL6qDCiRO6adLd3Xhg0bRJ1WVlbInDkzSpUqhU6dOoG+szDyMDsXFxcMGTJE/FOnJ0+eoF+/fnj48CECAgLg5OSEzp07Y9KkSaCQuyLRdjb5tdg6QC1Atj0MxsZrb1AlX2Zs7xv7yr8czi6jD2qKv5zVTE5VBstGbG4Pq+dRExFDOX6/CWTJb9R1AxZWQwb/BzHydgidgCuqoprPLaCEEhbY1qcKKrlmhqWFAje3TkK5pwtxMW19VBvxj1HX40wpjIDPLWBVHYBs4bvsNn5VPixIWjFOCgEuaAeD2mHqAX9kUnN8EnDhL/1O7X0CyFYMmJEzZme3WQ38E211nnJlyAMEvDI4OMqGrMAnpBfGsS/tuog8qoZToag+yPBgItGjK2QG3QYy5AamRu0ADH8COOiY+SSnIfn0KLC1HcIVNigevBpXbH9DJsUXcQeNQv/E0Zn9xN9d11zB+ee+eGnXWXt3dcYCdUaZfrfhIcC7B8CaKH8cAzV8zd8MabttFd8sPv4Ee05fQbfGNdCrps6hkfsHArc2xXv9s5ElUcvynjafOpqXAb+XRRGt8KPFJaT7YQqyVu4gjWPPS8C6JkCXPUD+elrfIefKQK+jQGQ4EBGCNwGhuPE2DD+UyAkLCz2j63jbyBm+LQEWIGbivWPHDnTr1g0kQqpXr46VK1dizZo1YiKZJ0/cjq/GCpBIhRWsLBSwTSYRIr61AHn+/guCwiSzGkoOCIKrxTvN/79RZUYOpzx47eON3ApfRKoUsHQqBSgsNHm+hIQjnd99zf9HZC4EK7u0eqOkY5du8PZ5gynzliKzvRWUQQE4cuQIZs6cKQTngQMHhDCJLxkSIO7u7jhz5gzKlSuHjBkz4s6dO+jTpw969eqFGTNmAOSQ/S7qIZ6tKIID/fHy9Tv03v8GrwOlM2KiiwPaGaJEIXvlpIQKkPefQ3Dbyx+Nisc9OfBY1hau74/H3cRex/Apcxm8+PBF7Gz5v3mOyrV/1A8ZGd2hEsCKiB8xK6ITOlVyxojGRbDnhjemH5LOHRjaoBAGN9Cunj4+uQVFzg7AY4sCKDLxhhxkXDa5EtCdFDWcCsQ2Kda9P5ogbWwBVOgFNJ0lfbOrB0B+SD0PA5eWAuR3lhBfJlM5qh29bRyA/heATLGscBuqV+1QbOo1Tcg/OGwA9itrYP9v1dFy6QX0sjyECdab8cC+EoqPPBazJnqGzSkABPlqvlNlzANFBmfA84L0WasVQBkDZkQmtOu7ZFVGAlOkQwYjYYH8IZtRTvEUA6z2Y1WaPtg5VhJnumn6wYcYd01aaPpq44i0o56IQB2X3T+KZ1v9otlx69UnDKhTABnsoxauyK/uyBiADoGMDDV4q13DxsDNaj0OKythoNV+fLTNgyxj7uHW/5aj7PXRosyU8G5o2W8aSjtH+X3E5jifPjfw2RufG85Ht/99wR1VAQy12oXBVnu11yYTL13fkNg64Ke1wO5f4uyeyEz5YPnJHYsjWmFeRHtM+rEYelbXcaz/Lp2byi9Kv1sKTkAiMXvxGDBYgJhpfFSuXFlMGpcvX66psWjRomjVqpWYmMaVjBEgVhmyIVgpmZ8Uyu4gwtR5+H4VIeucM6VJMqIk+NMbIOQzbLIXRK9ffolzB4RW+EeMGCF2SGglv0KFCliwYAFKl9Y6/k6bNg2LFi0CRXvq0KEDHB0dxWT/9m3JvObatWsYO3Ysbt26hbCwcBQqVgKLJg9BtVLaE639AwIxdOYqHPrvmNhVyJfPFbNH9UPd6hWRs2wjrF2zGlUatYTf1zBYQAWP4xvQccAYvL19DA7p0sLfIiMy5tA+yFq264zAzwFY+PcWEaqVfE0onTx5EvXr18fq1avRu3dv8dnkyZOxdu1avHv3DlmyZMFPP/0k7qdOnTpCaOgmtVCIPlaGDRsm7vPc6VNa8RGVKSRCBY/XH9DnpBLegUrxKQkQD69XWHviPiwz58X6iy/F55YKJZ7UvQGr9DmAyr8av0pLD5HQQLRyWwc/OOCVKjvGNC2CmYcfo0c1F0xsXizWlaYHPgFotui8uH6fmq4Y1yxm9BP1/brProl8QXexOPM4/D5oJJYfvYNrpw9gtfU8WCq0Zwa4hGxFbsUHnLfVCRM51keYewgBOUtrE10ndB5WDGqHwjnSi9+KlaVWbJ59+gFHHrzFhGbFkMZGa9r19vkt5NhcRzQrcsInWOqUMdPjgqtJqgTe3AXWNgHCv2pbaJUG6HkIyFESsLQWq8Zhfl6wzl8LChudyISLygF+L6RydLJ3gBdwwi3mndafBJTrLtnuP/oX2Nkd6H9JMiE6N08KvJCjlBQpKL7zHkIDgfePgDvbALLFb7MK+PJOe5aE7tVdagI9/hc/eSMjMW2KaIBuVvEsGERd7X+RlfF7+O8opPBGwWJl8b8HHzXPqg+Bofhlxir8azsefqp0sB7tgb23fXDd/R0KOabBb41KQnFhIXB8ctxtt7QFJsSx2x3/nZsnx5cPYiUeGZ2Nq+/2NmCftMOxPaIORkf0FZPnFWde4K+OZVElX5YY9ZDDdskJ/8Nl29+QRREonRlSqDHqzzuNFx+0Y7du4axY17OSVJ529Ghnz0AKt0qHgl9WasK0ZEEAbtj1l3L2PQOsqq1Xan7e5RjWszPgc1v7XaNpQDWtD93f5z0w9X8Po11NhU3WM1HTUrvIp5tBVXsUFGf+NI5bLLmuKgujfdgkWFsq8Gz6D7Lq4sIyCbw4CWxqLVXSfAFQQV9EsgCRyZeK00GBFCJ3165daN06CjaAwYMHi4ly9IlmaGgo6J86USc4OzuLyXH69LQlrU00Mb/98CnSZM4BRVTUCJqoZklrq/F1yOeYFva28a+4J+RWIyKV8A8KR5Z00vkjaawtY11JV0aEw+K99GD5Yu2IgSMmxCpA6B5ot4DMlyZOnIgMGTKIXaP169fj6dOn4vMtW7aIibx6V2n79u2YN2+eCDmrFiA06ffx8UH58uXxLiAYi/9agAsnDuPZ+X1CPNA5KtVb9kRgaCQWLFiI/Pnzi10Fu6+v0bRedfQdORXe7/0xa61kapNd8Qn9+/SCQ9q02PDXFA0yH/simrCA7Tp1xZdP73B47Wz42BWAU2btoVBlypQRZlOHDh3C7t27xc4FtZtM8t6+fSuu3bvXL7j34BGaNW6Avl3aoGv/oUhj74AcOWLuEDx//hwtWrRAsx9bYMKQ3kivCtQfH1ECZNRJf9wNlGKwPxxVDvZ/FRF/tw51QyissdpmHnIppJc+pWnhXbAmshnyZUmDfo630Lh2HWTIVx54eQF4ekSyr7aylWK7z9CPzT89vLMQIcOsdqF92ER0qFkSY6NW4yIazYJVNenFtfuGN/7YdUdzTVoxoxVPkSjqStaiGLXvMXZc90IahOCRnfRwOllrF+rVk2yKQyMi0W7CUhyw1UbHOR5ZFg0s9V+kTyu6oVCzIeg/YTqWW86W6oksg4JDD8M5s2nhqyPDQmA5I7vUzJ5XkTNv1MFgCfkBcZnkQ0D3ELhYWq3K6AKFvyTofa2yw3H8U4RFKHHo3hs0P9kIVoHe5r9fQ47ZJDbOzAIuLk749ci+v2xXgPwPMrsCd7YDZTprxMtd195o+6gWntl1j3GNxqGz8EQl7eynRTA2FzyDsvlzQ1VrBAqMPwIbZTDWWs9FVcuHmhXp6JXUKOCIzb0ri489331ErmUFYKVQonLIEuHjcNA2ZgQmpUqBxmF/4pjtSMP3PcoTSKMTkUk3F+0e39kqOUZnk56PZk9e14C/G0jVVu4PPNwHZM4PdNysDZtLCzq060GhxZdUAnyfaJpRJGQdsmTMiAujYzeLUmcmP8UzC35Gd6uoHaP+l3B56S8YHd4bL1X0LlHAOXManBtZDzCwK0z1/BXRGicjy+KOikxbpR1ylyz26FolL3qfiOkfGRevAiEbMa9jBbH7suOalwHxAbQq44RTj9/iDmIe9vpPpR1o4/wF2NMr9suU6gjc3S6+X5B2CIYMnwjFvCLAV0l4rohojjkRHRAJaUHp0ZQmeotLZu9vrjBOAhHrfoSV51n9PDrBZFiAmGEA0QQ4V65cuHDhAqpVq6apkUxmyFeA7Pp1E62Ku7nFXBmLTYCcu/kQ2ZxyawQIrX60X3nZDC03vYqHUxrD3iYWsaOzuhIBK/QeO08jQCKUSjz0+QwrCwsUzemAU6dOCbH2/v172NpqHb0LFCiAkSNHom/fvqhSpYrYFVmyZImmoTVq1MCXL180AkSljASd72BFK5ZBvoiMjESmYnWwdcl0NG9YC0fPXELTrr/j0aNHKFSokKiHxI8iykH56q37qNayJ45cvodsOXLCyf8mnMo1xrFty1G7annNdZ8pneCSMyusLRTo2KkTQvzfYd/a+fBXZEDGnFp72I4dO+Lu3bvC9G7+/PlCVN27exc2H6OvBAEulZthSO/OGNKnC0KyltI7fInG0c2bN4VQ7dSlKzbPGmLQt0S9A7LglDuOfpYmBLRj0NDSdNOhh1Xno9gl6ewLrzRFkHXYRXw8vRy5LoyLc6C8U2VEdoUUeYxS7dAF8FRJE3jd1LlyHsx42AgID9J8/Gd4R9xTuWKzjXaX8NrP7qjoql31u/7SDz+tuKixE4+tMb+HDcRiG+1Yudf7FUrmzmD6IKcSUavAj+qsQdE67RJWB5dKXgSirfw/zNYMxd5r/Z4M3Yx3rbk4maYhJu5/IJyDs+n8Dsx18/8VnIzGrboDF/8CHh8EWiyRbOHjSX9FtMGeyJrob3kAnaxOxZc9xvc0oaTnOKWdNm6oZKF9jxUM2YjwqO9MrjiqwIGB1VEqt1YseEwpCVelYX8R9TWGh/XDfmU1PI8mityVOZDP4i3w419A2W6Gg1Xo7DSI+mgiRGKAdlfy1QEcC4nde6Q34ONi7E2uqKkJ+25sEXW+HRF1MCqiLw4OqoHiTvE/t8jceMDkWVhvMyfWSy1KMwCDRkzTmHhRxtAc5THoVS2cU5ZEEPTPjupVwxUTmhcTovqgW3O0towyb4u6gu+PG+D4788xrjcnvD2WRraK85afTGsCWytJGHh/CsKhPevR13uM+P8mobNwcHo/YUKFxeXEZ8F9LuDeyl/0xl25iLX4HGEFa0QgOKrt89uXRo73Z+F2JgB+6Qri6tj6mvNEBtTJj5FNEklsmtrB3zF/cFgktl97BXoHq/sg0ZtD/kXLtfNhzfX6XQCiwkezADFDL6gFyMWLF1G1qtYBePr06di0aRMeP36sdxVTdkDuvHyP9z7eQoA4pLXHl9AIfE8BcmRwTRTO4RBjF0SljIDirY6DGYCfx/6FgCgndN+AL8I04K0qE6wRiQMrp2P0jMVIk0Y/xB+ZWv3xxx9wmzYDObM5Ckf+n3+WHnjBYREYM3IETp8+pREgno9uYOaMmTh54Rre+foJARIUHILF00bhh+6DsGPLRixftgyenvqheAPfPIODSnLyK96gMxq0bI8hv/XDvjVzsXTDTjw7vz/WnZ4eQybB/3OgECCBqjRwyKV9wJGZ2P379/HgwQN4eXkJfyBVRBia1K2GH+pVx48Na2n8Q3QFCHHJkjUnrG0kMfbq1St88v+Mo2cv4a/p4zGoV0eMHNBDfEd5cyg+ib8/htuI8bH79GX8HVBBOHResB2kt9uR0CF+OW8/VPFcYXLxe0oX/Bg2I0a5waUiMPRpzNXU6BkjJnzSM5Wi78n/ZLTVNvSz+leTnXZCCg/aB+elMe3bIztuh2WRpia3XV3g4uzWqBZ0EncKDUbpztqdsARXyAWTNgF6dq2oIbUxT1VcytwSXS/nQhZ8Fjt9Ha1Ox9p+MglMhyDct5PMLvXSL0eBPNIqv1j1nlcY+PpBL8vKNH3wa7CBsNMyiA0IG4RDyiqaGmiX4kT6qcgRJu3eGJPovrRJheKKl2hteR5HIytg2/ThaDD/jDADjisNb1gI7Ss6I3t6aaJLZq4Ljz+FrZVFDHPMMzNbonZoTM5BKlvsiKyD7ZF1xa7Lnv7V4LmmK9pYSqadtIofqrLBSOsd2qbQAYfRgoFEHp8Cy/Pz9Jp7V1EEpVT672cUbw08OQwMvKYXKtbQfd48fxjljnfELWUBFP3jP9jNNy5IhqG6eoUNh79zA3F/xqbeG65hjUfUjosRhWaEd8KqyNjPQ3o+vanm2UvP3Lu2vZFeIS0YbS63E10bVQVmxTQtyxeyWQTziJ6alsiB4Y0KI72dFbJFjQHdPI9fvBAasGgBHW5HxgL2mYBaIxASFgG7GdrFKP0xGfOGB9UrgGGNCiP/2EPC5JZSYgRMMQK1WbK4/fsAh++9xaJOZUWQlPgSzQ/trS31TKKJQ5EJhxEeqRICZEbrkvFVY/L3AR+8cXzverjW7YFyBXNL5ReUNByAouVSaeeVAth9/iysXwwtvhvTCIUqNsN1Y0qnkDymmmBFv211J9x87o2y+XXiaQP455o7HML9hQAplTerWJmg3QRdh+KvoRF4+zkEZIoVl6NxOJlTfQ2Ho4NkThVfonq9PwWDyqkTvTiyOtjFOKX066d3SBvso1dlu+HzEBoUiAP79yPs3VPYREovK5pAb1i2AIvXbsfp3atiOCfRgPwQboMqxfJilNssjB30Kz4FhYtVkzmTx+LmlfN4cO8ulCoVmtWvCV+/T3Ab3g95c+eErY01qrbogZFjxmP48GFYumQJ5s6dG0OA+L/3QsYIyaFx2t8HsGb9Zpw/exI/NKyHDj82wriJkwF7R4OhXHUFCJWPyF5a89CmaFgUdGD99j1wsLOC9zs/PDi2BcfPXcGu/x2Hq7MTzuxZLSJa6QqQ6H3xTJkLwbBBFsVnnPpnI/qOnI7Ap+dgkb0oPD8Dn0PCRREXSz+8fvkMN87sh0cgMMFaOuBLpBrDJMfXbEWhKtEWf1xJg1sfgD0FjyLTq6OabF4uP8H55e44h8OFdrex8NwbRHhexV7bSVLeir2h8jgHRZQJAa22trU8p6mHop70DR+GPI7p8cb3E+4ZmqBFu+qagsvQu0tMp8s3AcGoOvOkcGIcYH8ST7rcQKFcWWBjZYFTywai7nttFBZV+Z5Q/LgwvuEd5/fHV45AgzercM+xGUoO1J2IyaqWC8sl8OEJsDTKpl1dl9xTock0Z6qOnf0kf7hEncisvgTZxFNkPDL9oXMKXmRtiBF+Ub8DWlWOOlfmgyo9eoWNQC2Lu8jUdBzaVcgNOhiVQnqfevIeWeyt8XlHP3j7h2BMRG+ooiZtVH8zy8vwVmXFWpu5OBhZCUV6rUb+9bEfhHlNWQgHIqvhjSoLJg7qjzYLj6GWxR2cVpaBn4guBWGC4+UnhSXXJhUWWi9FK8uLep/ui6ym+axCyHL4QrsKT6vyThnSYND2W2heKic6VNQGVnntH4zqs07q1fVselNYm+g79XR9fxR6qfNbs0kHjPbClmteGLdXMu3N6mCLa+MaYPGJZ1hw/Cmi5phwVbzBKVudE7h7HAJcosw9o1p2aN0M/OBpgn9B2mxA6Q5aM7eRHnpnoVC49gx/Gj6Dg3aPLKFEOgSLsbDARusbSsFQKECK+uyTPmHDEAxbnFeWxIjGhfFbXa3/Ynw/l6MP3mLsppO4rvbXiKeA7gSenp1Pp8W+SOPjH4xqUf1KplMLO0omWZFeN3Dr74EYHPIrMikC8ULlhHCLNIhQd0ZUG8iMLJcZTjPfNr4V2lieQ9OwWXBXSebAK7qWQ0Z7G3RcpbUEKZLDQYi3tLZWGL7zDvbclMwhk6sAoXlXiXH70cTiKmxLNEeDRxPQyPIGXve6jVzOMZ3rYwsS02bZBaT3PiV2yvqGDcWqGfH4UpEFhF8QbBCO7LYRQNqYPkjRh1no5KywRZj08fCnwMfnwHrJ/2ZWuGRuV87imWh/ZI2xdWwAACAASURBVI3hsGwwUXzGAiS+X7iR35MTOvkhkL+COhUrVgwtW7Y02gndechO9G9UAmOaasOEfvz8BV6ensiTNy8yO0RFY9IRD+Sj8fCNNiY4OUSTY3T0RDrx8dtAISbyZrZHBnv9U0gN3SZN+GnFihLVGRg16SUTrALZJH8DSlT31zdPxMOWbHQVCpWwJm03eCb8Pn/Bms074Br+XO8Sx85eFqZRzy/sh1O5RrCJCjH78WsoQsOV8P0Siq4tGqJ46bJYv2q5EEJfwyLQo01TBH39Iib0fkFhqF4kF5bNGI1uPzWHhzI7vHzeonbl8sKZncLbkv9NvXr19EywqCEBvm+RIUw6H8TnUzDyV6iHP8cOwtDJ8+B55SByl2sobeOHBAB++jHZowuQQKvMSJc1D44fP4FGjRrCbe4StOogTaKdFR804RTvP/dCydotsf3QaRQtWRo/1auEvj264I8eLQyOssdKZxSx8MKm3f/DL8OnIDgwAFZ2kj+DMCNTKBD86S1ePr4D5bl5KB50RVsPvTxHPNOrV11GfEgx9SlFrRL6HZuPzBfcQLH551iv0ivnpcwK5yk6/XfcDSDn21ojROjDMJ97eOb1FkUrN4HF1Jhhi6PfXIvQqbiryg+PidWkk+rJATNfXaDqACN/bQayPTsmicVKv0oHp8lMJ3avQP37o+BuVxz5RutP1GRWzcUTSoDG7JRYxlcch1TSjvGSE4/hEPQKfVs1gkJ9loz/K+DebilM7a4os5KWy+CVtzVqzo7dZOnvnyU790eLf0LRj/oRm85ElsLP4VK0IHWiRZslncuhz8brRt85TfKpTGjwF5yb0RwFFD5oHeaGuha3xWFtg8IH4pIyZlQZ3Quo20m/e9dogorCT2e2A9b8UgOtlsUc33QS9e/1Chi1UEXXpHdDaIQS1zz80LBY9hg7mMbcuPK/CbC4tEibVadPR+2+K3zFoptt0eGoNBGlFe9elgc1CzDKCr1g0Xy+5lnZcMFZNPm4CX9Y74KPKjOcFH7GNMlwHtrVyl0Ru/79F+1uxdzRXRvRBFMiuoNMjgqPl072ntqqBFoXTYfyM88iFIbfvTRZPz+qrtHM1Y2jiWd6fEVBhTfuq1zxZJbkh/rvbS+k29MFdS3viHdj3bAFevezpnsFNCgW01Q2oWBKTf4Pn0MisKpbedQrki1BY8DQtT8EBKHmzCMIgWQdQAKUhCgltfj9oWQOLOxQVixIUfr0NQxlp0q/TTIbd//wVcxlahXSObMmoTdqajkKza0OXW3MQZu0JaRQ4NTj96i7PY6zbfJUA5wr4avfG7T16QKXDyexwmYhmoXOwF9Du6NANgexUFlq8lG9sM2RE/1FuHlN8n0G0LlZdDDkBykypF767RqQVTJfp/TxnTdeP7iAkNPzsD6iMfyRDlttYlo8qPPTmS600KL+fb51aogcfaUFTxYgpg6mWPKrw/CuWLFCmGGtWrVKREMiU5y8eeMOgajuBBIgFrb22NWvKiq6SNttmpOu04XDzlIKs4psxYEoh3T6X/XJ3+qmkf2opZKEgwqwspPsXCNC8cX/A96FWsM6TXrkySJNZEmQWCoUelt29MK69zpAc6fZHOzgmM4GT94Fim3NdLZWyJdVK0D8g8KQ9tNjWCsiEW6fA4qQT7BShoIm6p7eb+A2eTzSQ7sKlzlTejg75UCtNr0Q+CUIYyZOQamy5XHzkQfOnPgPdRs3E8Lj4N6dmDJyCMbNmIfSFSrhvwN7sWHlIuTK44KdR87CBhHo1KQGsmbJhL+WrIC3XyAmjh2NO7duipC16vM16tatC19fX+GTQT4mZBIXFBqBtpWitgoBdBk4DrsPHke96hVxeMc6vR+csAtWR7cBxH298/2IdfMnIzJSKf5ef/IR/l66EBWrVsOCNVthaWmJ/Tu3wlH5ETXLFYF9GjusPXhFtIFMsygiVqNGjZDGzg5Lp/0BO4sIOGbOhC3/HIK1lRVKFi0AWxsb3Lj7SIiiOnXrY/PWmCvxIV8D4XH3IlwvDIfdFy+pzxSWwODb8ZoPGBrK/TbdwIoXWgfI5qHTsGZ0H+TIoG8rHOvPxvs6sKZ+nL8qWoWjFy0dFJlU0+ULp1DlWJRNsyknsCfVG0rsdtHJ8yT86FyGxEp0LsUxaeUsRmqxBJFluood4huen4S5Ak1Ghu24jb23vOBhJ235R1pYw3JiVCjXuYWBL2/1qvId/g4Vpp/QfKZePSURQ4miD2oSPReimaOQT9Or4r/i4N04Dj+N1vh1PSuifN5MsLOyFJF7QsKVsLO20ExE6RldcNxhvVJnRtQRPnX9t9w0iGNUkyLiYE11uvnqE9pECY0WpZ2ESYduoskZRaMiseQSFdUvsbox1nrpQMH5Ueaso18BdvH7Qajrmn/0CRadfK4x0/R1aQ7HHtJuMIWmnbh6F47aSmdlnLCtj6+NF6DFgVKapowM74MTkeW0kZ+MuHlhfquIvrsElApZhSKuebDz16pYeuo55vwn+c7QO9T3i7Sg98CtMWhXd9VZd+y5+Ro0Hzw8uKaYNJqaaHyQORxZQKztUVFPwJx5+kE4g7cplwuzj2h9eKifn8Sx+2FqGxI7P90jWWSQ2DQm0RymlNtRBIZEoELeTLjuKZks/9WxDFqW0bcyMaY+WXl0fcs6bgWKSGdobbniKQL8/FYsVAiA8B/mw/p/UhSxExVXo1ajVrCenjDBRO9YenZtvfIKnQ/rm1zd7/1S/3yz+KLeVfkNqD8RsLYTZqQfp7iCdmyNST3CRuDnn/ti3tEnsPG5jn9so3Zf6Pc9Kw8+hdsg8wxfNsEyBmZ8eWj3Y/bs2eIgwhIlSohV+Fq1asVXTKMC1QKECpAjFdlMCgFy/xpcs6WFnVWUarWwlpx46ARTVSTCrdPD+oO0Rf1UmQvZ01khQ5Dk8xBmkwk2YdKPT53uKl1RNGd6sdPwyi9InGydM4OdWE2gv+lh+MHXF64WbxGpsoCFY34obNNBfUK4egeEXlq0S2KFSBRVvJLO3speHKr3T6BQRYiJ+oZdWpt99fV/bvcj1i90w4dQa0ydNh17Dp3A+4/+cMyaDeUrV8Ww0RPg6CRt8a9cOAfb1q0UztiNmrdC7kxpcOHqDWzd/5/YHbh1/zH6jpqBe4+eCdMnEh7kQ6J7wJ+fn5/4jM7n+Pr1qxAhFBq5StmimhNlT56/ivod+mHnij/Rrn2HmHHzVSohvh68+YwJQwfgwO5ton103kemDA4oXawQOrduArq3l3BCBCxx6MgxbF82C4+evxRlS5YsCQorTKF6KV2+fBm//vqrCFJA9xcQFIYdO3dgxcLZePqMbGNVwqysa/s2GDpuKuzsYooAMT5undEXIDInzCQoyVFNNzRtvINYNwOJkC/vge36MfkDnWrAvf5KlM6fiJNUkxoae+Zn3u9QcE1U0IJBt6GgKEGcDBOgswUuR+38NpsPlPtZivCjk3Ze98Ln4HCQk6sx5p8xLhRIoWW1q3CBvz/EmoWTMdRypyYrBSEoZuGJ/jp+QoYaHNR4Puyr9tIEGtDkyVkadT674eVHyeadJvA0kY83ff0IzJECUdzt8RSlXLLj/usANF8s+SjEltb1qCiCJDjKOO15xqFHYhJLaUXX8qhTOKu+SNK5OD2D6J96lTje+/oeGeiwQTqXqWIckZBiadfz94FYuPBPLLFZjDcZyyLnEMmfpN7c0zgY2A5pFNLkf0PGAfh5yEz8ffoxep2W/HMahs7GM5X2uVRK8UITeY8c3GdGdMZqG2lHJXqKaLEMAYV+Qvlp2pDEJDDIFIjejzX+1N9Ni25mRc/5oLBIkT+xEwnpC899Ub2AY6zjJLHb8K3q773hOo4/0p4Dpr7upTH1cPuVPyYdeICFHcqgWgHDZnSy20kLv24GIrINuS9CNNcasxZbbaaLM8kMpu77gY0t9b56pcyKPBb6PmSGypYOWYUT41vh1IqhaPdFxywbwH8lF6BxWynipPvtM8i3z7AFRox6sxY1vEMSlTF6dMqBYb/jQ95m2PGr5Be9/cpLdDysb1L6OVSFDLMCWYDIHmwyKlDvgAzffBG77/kJxU6rJ3SKp2aCmSurVoDQtbKX1J4JQXHqI2KuxMTWpEdKZ1jbSLsaJEDUiWxW6SAkJwcrOH7VN9+h032/2OeG+6cIEYo3b5a0ePxWMv3KiK/IY/EekZZ2sMxOg/Spfhx9nYa8tskHy9BP4gTcIo42UHyUrvNEmRv2CIVz1I/LU5kNAdAeAEjapqSFBxp27I8cWbNg0+Jp2lqzFARstTsyxnZFoM9TOEDyS6Gdh8ET58Ln5n+wyV1aCkEbT1KplFBQOFljUrRdq3iL0LZomOQkLw4vi8VnRyNQT/cXOyDjw3ti2nR5/g/xts2UDHROAdlyG+FzZEq1iZ2XXtR206VdSN9WW+FYxvwnvyf2PRhbP4XznHv0Kf6944OtfSqjWn4TXsjq04l1L5argnTehJUd7cHGMP9JkG24zipd29BJuKGSQiO3sTiL+TamB0pA0znA4RF6iNYVXw+3G9IKK5l0zP6ptNjtTWh69i4QZPqjTmSatLp7BbGSSyYQerspCbwITV7dfb/CNUtaPvUZwJ5/dqDt3b54b50b2cY9EFTLjN6O23a/agjf7+WBEs6Zcc87AP2X7kV2+Inx1KBoNhx/pHuOiAquird4qcqu8dUZabUdA6wO6PfWsEdAeidsuuwpfkPTW5VAwezanYx3n0NQeYZ2V819xg/cVwkc76YU2371FUb/ox8Yh8qXzp0Bd7ylFXx6LXnMlJ7tSqUKHVdfxlUPP/StlQ9jf9CawptyXU3eja0Ad9Ojz8W4Fk38O2/Hvft38ONBK+TCB+GLdrLMAjSqUAQ2f8cM2UxCZWXkj5huvTZGdWfSt0Dt31fj6OoxaPRe//sjkRVxU1kAn+AQwxQ7PgbT8m2C1ZODGG29HbPD22NZZCvNQjqVpYVN/OmCjApt4AoWIPFR/Qbf69rBRVjawd7GUvNyCnl4BB4BCriSAMmYM4bJgGhe9hLAO8MH+xhq/nNlTk34PQqLm14VoFHhISprYQYgmXDFTB9VDnit0p+gaPwc0mUD0ueSTL6iwtzq1ZDJFSq7DPgaFinu0YJ+/bEcjETlrn7Njp2b1qFa7XookC4Me3ZswZQFq0WI3Aa1oiLL0DY92XAnJPncQlBwMDxe+aBD/9Fo2ag2po8eKB04ZmHcxCPi/VNYRcQdCUY0zcm0mOqiTNQJ5nFN3oUAcXfH8f3rcexzbuFbkVyd7hLShYlZ5siEBmhieQ1u4d3gnr871vxcwWTH2sRsn9y6DfkGUJ23JjREprTxmDrQ7ivJiz9dYm1GaJkeKHxZOs8leooezptMltZe8MBWKzfYvr4M5K0B9IwKgftgn9ZHgwIv6EVnAoorPHDQNu5Q0SjVAdP86mO8d98YbekYNh7XlYU0IWcpg7l+Q8R4y5VXaFIih6ydDrl9nVrKX79xFRX+bSiiE1qM9Rbvmc7j5mCbzXQJQZRYoD8pNGnRiZKPxsw2JdGpUh4M2X4L+25rg6nQYtvcdqVRJKcD6s+TDo6dZLUBPa3+kx7RdcZCUUcy7YorBQSFC1/NErnSG/TRjK88f286AYrQVndu7NHr1DWqf+vj9t4Tv1V1ujK2viZ6m+lX14ZyN6Ysnd7ewOKmcPzObxHNfLOBG1BjiLCI0PXlmtaqBLpWco7dL073wuV+xgvrAsh/RTpPS2WTDgr1AmdUvrIhK8TCsDoNttyDodZ7jGk+0HIpXru21QtG4THzhxi73Z8mOyMTtD7LLECMw5uoueI8CX1uCXhUnycJkP+3dx7QURVtGH7TQ++9ht6bNAEpIkhTaYKACPyKgCBNivQO0kRAEJQugiAKSEcQpSPSm1JDR2roCWn/+Wa5yW6ym+zm3k3bd87JEZO5c+c+M3t33pmv5ClnSuBmXmR3WTLoSrl3EQiK3TbP/HRBzKdKuNuIvS5ZeNPlMWX0lZ3sl+VCWA48ha9yNM/iFhAREhaZCkVm7rUmQnKUNR2vm5XgOxfgFRw5Ic3/dv5ZKnzUqSOOnzyFoKAXKFowP4b2+hDNm7yMgS+nHunzxX13/dl9jBw2CONmLEDNKuWxduE0pE6VMsYTh2gTITTYPvEXFwFix6zTfISWnHyG5Ydu4dUCmbD848jwm3Y0wSo2CGwaXh8N3U2O/dqi958xDQzZuU4M0DefvImuS6P7EHh7uOPsuBhCGM+tGf09VKQhcNbST0GecX1oVTTxMEWqGR7cAdtCX1HR3drXfQXi6CxFAmkUGrJJ7ezt8TXLbi9J5cRhfIKZaUzgt3iEyNPOzq/5qQhT71XIjhR3jpmCRhR50ypeMYfJPd0yx0O/4C5YFWqZ5Xn9pzVQKpf9/geJYSzZBxOBkGcB8Jxk8rksGTgfT5ECbTy2Y4LXfIRlLwP3rpFR+qTOsDUnlTBY8r/KESZQV+49U07OcTZB5WAkCgJRF+yTW5ZB/1XHo/Xt2PD6SJfSS4V6Ny8TW5S2iPbmyEPtOncHr/1gimb2dcg7mBLSGgM9l1s1D5X34pLQNyM2PSp/vhR/+XaPuF34gEtwSxkZglcCL4i5XsQJ6o/tgH/Wm+q3XACsssw2HuiZFr6DL+PqyZ3I84ulSZf5M2nO4vI7EeM//3UBHTy2YIiXlSiQDSYCpZoDsulsVjSGEpFsc+/o7gcXx1VCgeCzEVc8KtsF6ZpPpgmWI5PL6LoRAiQgAGnTmX3xPf4PgXPrRgqQvBUAydb72EwhZy0RaS5kvhgWP5EwU6hW+KQ1OYg+NIWlkyggd8NN99HMp6w+U5ZiENMrVUSEPDXZKsopiES88nELsbwsexnLBFC3/7E0DbO2CA8OtLQrFHMj6eczG3aRctrjET3KV5zHxNzUSWvEUbEgWWYDLPOMWPQndTZ1RO+MogmQrLny4I9zASqqifjxsOgncGrlKJQ8bbL71gSIfIm9WzF6HHz9d4v/FiqO3aaizZmX9HisoprsHvi69SABR5YCayO/HLVrJemjzLu8RyYBuy2j7Vh7slEhHTBwxDT1JSo70aWHr4+WXC7qdT08hmH90+J4q2xOzIziRG0vvQqfL8dh366quoSk3BpWyeJSzffO3vZYL/ERuD8qPzKGP0DToNE4Gl4IQz2/x0eemwBxpm1gO1pP4nsS9kgvAXNRsffz1yPCCpu3q5lGNvhqp4oUqpWO1fJj5NsxR5qz1r9jVwMwYPZybPExRcOrEfQVroXLQj0czd13YbLXXPWOrRj0DVL7eKuoceObl44QFFrIebnWPCBRjCwkgIOsm/JUAqYUUTnXpIS4+8Jz6A3TuuzhdWBaCYtmnqfMiX+f+GJjaBVUbT8K5fNkUOaB8i7v9eMRrD16A6XdLmKdz9CI68KHP4BblBw79o7T4jkT0OHWF6r6sRyt4NdmKvOA2AvPWfUiBMiwHEg7/FKkoDi/DYFrepsESPHy8E2fFXh2D5Dwkaq4ATnLWXZLRIiENpWTBjHL8k0PaA60j26oiXk3PK0SIGFwg5/vE6R4ESUkYYqMJlMqc0dSiZV/+7RyerdZoi7cQ4JU9C0lhMRPRUK3Wisv+xUR3SssBIiS1FBdZv4sRg6GnNYIMxEjcqriaCQf81C9IqCkLSm3jpuikImQc5IPRESUND8/q07qRmJytbYC71+H7wzTC7tg4PcIhQcmtSijEqsl9SIJzDR795+7varMQsI2fo5il5diTHA7/BeeEaPb10PG4manAyK0J0V3xu/0oj92hJlMDCWARabwBzhotoNnjdW18Myo+WIGzo9rhAKDN+Jdjz9itTnWROA37SqgYem4ZauWaDoSDldObyvkzYBP6xZWiV397z1Fsez6wzcn9XmRHPr/YuHb8L78JwYGd8aK0DpY6DVRhaJFk6+Aip2SwyPyGewkoAWDGPlWCXSs7hftlENrRk62S43YonKZ9KtfRPnEiS/uKgeSQmptNRo2Hxs9+kb00Pxkwbzbx0bUd85mYdSoVuZBaaL8LaBSb5TbZcqrdGF8I4vwvKduPETjGaZAGsM9l+B/niZzRegIcjNl3mL0u9bTdL9aM5HllaYUIHbOZadVixAgn6dB2q5bgHwvs6nv+hKBBxbg0mvT4VemGnwla3jwc+COZG61Ij5i66GcYDy8CsksK0ljZLHgptxEYVp0p4ol5JuICREh1oqcsmSKexbYaE0GXI08BclWEpATHSct4mPDFuvfJT+BhOn1TuW0kw5bfaAAiXV04l4hLBShozLBwy0clQJn4w7SO5woLO43d96Vkbbv4SqU9dkxDYBfOgNnojjXShe6H8TTtAXQZ8VRvP/fJNR8arJ9N4/Gkj9QoqxYJjat634I872nAmXbAK90Mh3Vz7DcLJFofG+/GIs/vPsiv3tktJqigYvwr29HCwBPw31QMmih+p0122Ln0WLLSY6AZNLeP0t1W3xBJCJhBrcnQId1gF/sUSmT3POyw3YTiGpmpV0oeVrEHC+Nj6cyYZYIdhlSeuHI8PoqPHU4wiHpCOwqURb55z+5hpV/X1NO7vN2X0K2tD44MNj+7PV23dO80soPgNNrI39jTTCIJc3fC4FaA/HbP3dUpvoqBawnHKwpOZEeXMKOFAPhVrol3JtFJtV0tG+y2XN3XDH4uoch89BzePTkCQWIoxCNrm8hQN6dBVRob7rFmu4IPP8nLtWdB7/i5SJ3uIOemMyQ7IjUZNHXKPksLP6WsWDsCdxsOpcXAFI4wWZazLPkJMcs54nR7JN6exQgTh7Bl18m4iQ4NaQVOryaD6PeKeXkmzq3eYleN3j6/MiY7DHc7mnRFpifdRBm/3YC//iado/nhjTGxJA2qOV+DDvCRFRYig+pIyFm6xSztA+OuE0Mceeft1qBBf8VUrkTfBGEEm6XVeK2U+EmZ/cEiePv3OFg60YTsGEmiB5/R/pLGn1PtpckCOy9cBf7L95Hr7qFVVQmLXSy5Mb59dgNlY9n6YdVUGLEZhUD5o3i2SJC+R4dXi/WPCQiMtxHR4bevd9xFzLmj8w3I34pUuIUitwRwiLCT6wEuv8FmPmPONKEeV31XMFPTZusBm4EMxFhXEfEwOssBEgRif6yEXhp7hCYOg8u1VsMv6Il9ZvYxHSCYW/kJ/OTCY1BDGFiDcTEpqwQoABx8rQwWyyLCVDDUtnxzfuvOPmmTmpedr1SZMCCDX/if0fetfsmYyruQ9C+bzHWayEkgMWdjnuRLX0qfLDgLxW6dEjjEvj50DV89pMpQEbUCFfRbnT4e+DXHtHv33gqUOkj9XsJDRwcGq4Sua0+cl39TjJLS34aFhKIkYBEVvy2dvQqEtQghZW8DMTpsgSinoi0qphbhd+uNmE7bjwMtODyWb0iymQzpnLi8n8ovdAUXKPbi16YPW6U88VGEh49CpBEMHgWAsTHDRh2DxhjOg5TAuTNH+BXuKh+AWLrBENUbebIJF8xIpE2nj8w+XWI74YUR522EwHz5NIFChAnj6SZAGn3YhCe5X4Nqz+p7uSbRjZ//vYT9F91DD3qFELd4tnift+bx4Fva+FJaj+kfnzBoXaupi4DPLqpcvRszfcZ6neykY3ckVblNFZEiGYq0O9ctIgqWnOST8Mvcyp4elhG0HPkdqzrQgTCQoHRkVGDIp58RIChu7cuRDTZPur78w5g9/nIgDeSKHVYkxJoN28/9py/F+25zZOTSrQ0Xy93lTBaKx9PWYxvn/TEo/CUCOnvj4w6kowmW+hmD0YBkghGOZoAkURe1/+OFCCNVsCvQEH9AkRatJZ3w97TD3NWmhAR8eKoKVgiYJ5cukAB4uSRXNcbOGTyPZBSB3Px+4jW8bKrJfayxYa9dPx7mZtCTAg+XXYEo98phcZlHHDEXtAAuLIvOqy+/wCLGpt8mKS0WwX80BL+VUYj/wFLoXE/PDV8+59GytROMLd08jCyeRcjsKEfcPA7y4fW4TzrYvRc5nG/23kR4zaeiXje/JlS4o/+ddB3xVH88vLkNSoMyRty/vZjvPGlKcno1j41UTBLajSevhObH5qyige7ecNrROwZy10GtI0HpQBJBDMgmgAx61Nguf/hUtGP4WdUlKP7/kDgA9MdJNmeRLsywEYwEWB0yS5QgDh52A8tBtaZonZImRTcGm37fWU9RK3BXVm81x8jfjVlc5ZSIW96HL4iCQBNxWZOkrNbgd9HI6TJTJx1L4jiOdLAbZQN0xMbizKxVf5g2FR87zkm4n6zQ97GJ2O/N/gp2RwJOImAmGGZb7hRgDgJdNJtVjLXf7r8SMQDFMicCr/3q40JG89g7s6LVh9MBIiYhoqfmhQxQx3YoBjCZlVFUXdTqoMX2crCu5tJoLDYJkABkghmh00B0vcMAr0z4tKlS8YJkKd3TPGiRXzIyYcTS8eOHbF48WJMmDABn39uioktZc2aNWjWrJnK7BlfxdzpK2XKlMiZMyeqV6+OTz/9FK+8Yp9N/x9//IE6dergwYMHSJ8+ckH3zTffQH78/f3V45QsWRLDhw9Hw4YxJHMz6MEpQAwCaasZMefY/w2w1ZRpu+eLHmjYpkecw8Da29u//e+j5RwrJxYAcrvdxo3wzAiDO06OehOpfTxNZpFeKU2fazPzk+KBC7CsbhDK7+kW/dYNJwFVutjsUqVx21Dw6RH86D0Wp8LyIWPffciRPpW9j8B6JJCwBO5fioy8JtHYms1J2P7w7omOwI5/bqPTooMR/VrXowZK506HQb+cwPK/TOkOCmRJhYt3nqp/Z0/ri/2D66LA5+swwnMx/MOzY2FoQ2T0DsVh95fBg6TioOumkP4sMRKgAEkEEyRiEOY0QtqbprjLqox8CMMXmLKgeuAPpMluimjgxCICZMWKFcp07OLFi8iQIYO6W0IJkIULF6JBgwaK6dmzZ/Htt9+qvixYsAAffPBB/uWkJAAAIABJREFUrCRsCZB169bBw8MDhQqZMp+K6Jo8eTKOHDmixIgzi+Hzw5mdTcptr2ivwtQODe6EpaH1IrLWOuORJFdFkSEbEI7oPg+N3fdjlvcMTA5uhVmhTdXt9zZ5iJzbupn8uCTU6NSiFt3aFloeb3hE7vKJcHHvdRRInzdGm3hzE7AGJbNjTnv7hLozmLBNEogTgdO/AocXA21WWOa1ilNjvCi5EThw8R5af7s/4rG0U+XZf5zHpM2mE46NPV9D01l78CLUlN/r/LiG6D5sNOZ6mxKuFg5cgsJu17DRZ7D6/+vNViNX2deTGyqnPA8FiFOwOtZoxCD4n0DahS8dXD/cprJaJuUFpgiQe/fu4fz583jrrbcwadIkBcaaANm7d686JTl48CAyZ86sTkjk5CRVqlSYOXOmEgsnTpywuP7rr79G9+6mrMxvvvkmKlSooK6xVuQEZPXq1Wja1LRo00qHDh3U7y9fvqwEkvy3R48e2L17N168eIH8+fMrMVGiRAl1ChX12kWLFlm9X8aMGdV1H374oWOTwcHaSXl+OPioCVv910+Bw0swJfhdfB3aDIv/Vxm1isSSNyeOPZ60cgcGnDbN069CmqN5n1moOXmH+v/TPp2Q0s2UvVxLzOfv2zbiTmGeKeAe8tzqnf3Dsql8GzdrT0WO2qZoU/aUoJBQRp+yBxTrkAAJJCkCUQWImFdpRcysCmdNjfols6tkpZo/XpeaBTDwwKtwdzNZcEhi5wnBbTHVew4eZiyDdD13JSkGCdlZCpCEpP/y3haD4PEC8JKs4abTCasLTDFdCn6WMD0XMw8740CLAAkICIAs8tu2bYtz584hd+7c0QSICItq1aphzJgxaNy4Me7cuaNEQNmyZSGnFvJ3+fft27eVOOnTpw+WLl2qzKFWrlyJkJAQJR5++ukndcJhrdgSIEePHkX58uXVSU2rVq3QpEkTJTymTp2qxM/p06eRNm1aZa61du1atGjRAv/++6/6XYoUKVQSHfMSGhqq+iHPLCcgIlycWShAnEnXrO3fhgN7pmNeSEOMDWmPjtXyY+Tbxp9uiVliNH+Nj7bjRfYKOHH9ISqsrgW3gMuqY9YS9sVEo2TgfJzo/wrcM0XPZh5PFHkbEiABEkg0BLRM6VqHzAVI1E5qIXublc+FaWdqWX+GUi2BlvMTzfMl9o5QgCSCEYppEKwuMF88BcbnTJieD75ht+mWJkDkxOPVV19Vi/H58+dHEyBi/iSL+blz50Y8k5xA1KpVC0+fPoWPjw+yZs2KOXPmKAEggqF169aYNm0a/vvvP+zbtw81a9ZUvhmpU1u3u7QlQISv3HvixIkYMGAAypQpo+4xYsSIaHxtmWBJRRFJ8ozSnvRh2bJlaNSokdPHiALE6YhNN9gzHfhtONaEVkPv4B7K8XBeh0qG3/yDweOxxHti9Hbf/wUoVBeY/yZwNdJkIKYOrA+tgiYeByKr0AnX8PFigyRAAkmXgGz4dFh4EDvP3sGa7tVRLo/tPDFDVp/ADweuwA1huOT7vvWHfvvryETSSRdLvPWcAiTeUNu+kSsIkJ07d+L111/H8ePHlf+FuRO6+EmImZaXl1cEJHkxPHv2TJ1AFC9eXIkCcRyXUxIRI3IaIj4Xu3btUoJGfg4cMFtsRcFtS4A8f/4c4pQu5mH9+/fHvHnz0K1bN1SuXBlvvPGGuq+IEikxCRA5Nbly5Yo68fn5559VO3/++SdPQBLB58uQLhycB2z4TDUlpk/FsqfB5t41DWlaa2TXyQt4bVUF222KgJhdDbgdGRnLVuWwcDcEvT4KKXa8DKVrluTP0E6zMRIgARJwAQLTt53DtG1n1ZOWcPNXwTnSukWxRBl6B/D0dgEaxjwiBYgxHHW14rAASWImWCIOpIh5lYgMORkxFyAiMOrVq4eePSPDnWpA8+bNC29v7wg/kPHjx2P06NHKV6R58+aoX7++8uEoV66cOsWwVWwJkMOHD6soWGI21bJlS3X51atXsWHDBmzduhXr169X5lgSLSsmARL1viJeChYsaHGqo2uS2LiYJyDOoGqlzTPrgBWmXa9KgbNwBxni5Ii+7MAV/HPrEUa9XdIil0hoWDj8RxZHQfebkTfvshOYayZyRIB8WRJ4ZAr1qBXpzyOkwr++HSN+N8B3BCZ1bwdMLWKKjjXErN14QsbbkAAJkEByIbB0/2UMXXMy4nF8EYR/fDuZ/r/+OKD4W0CGfMnlcePlOShA4gVzzDdxWIAkgj7b0wVzEyypL2ZKIhQ+++wz5aCtheFt164dbt26he3bt9tsVvMDad++vToBkeunT5+uTkC2bNmifDhiMnmyJUDE/Et8O8T53Dy0rtaRQYMGKTEiJzfiKC++IHfv3kWmTKZM9bZK3bp1kSdPHthyUreHnz11KEDsoWRAnbAwYLQpilujoPE4HZ4fa7tXR9kYjuyt3VWzI17yv8qoaebEvv/3X1F1p1kYxwGXTPl5zDKxY/iDiD6otit3wZFSg9Bs9l71v+nwBN4IwR2kw4c1CqiMvrh7DvBJC6TRkUXdAHxsggRIgASSMoHNJ2+i69LDEY/wXqU8+OLVUNP/5yyflB8twfpOAZJg6CNv7CoCRJ5YFvxy2iALZ02AyOK+atWq6NSpEzp37qycv8+cOYPffvtNnXxIkboiPMTPQwSDnKYcO3YsIofH/fv3lWO4rSICRAvDGxQUpMzAxOdETmeWLFminOSl9O7dW+XvKFKkiLqXmGNJJCwRONevX1eiQtoRsSO+I+LvMXjwYHWN/O3x48f48ccf8cUXX2Dz5s3qZMeZhQLEmXSjtC2nETePofOLvvgtrCLK5E6HX3vUcKgDmgD5um15NCkT6cf1dGR2pIIpelWIXx14djCdGuLeBWDmS7OsLMWBOy+z9g68DKQw2StLdvS230WaH/arXwTvV82H9ClpCuDQ4LAyCZAACdggcOLaQ7z1tSlNQs+6hdG3XhGy0kmAAkQnQCMudyUBIicNRYsWhYgA80SEYlI1ZMgQ5VAuvxfzJXE0l8W9VsRESgSDJjaknkTFKlCggDLJiqmYJyKUvCS5cuVCjRo1lNmXhO/Viphabdq0CdeuXVOCRqJqibO7duIhPiizZ89Wzu8ipuSEQ0LtyunNzZs3VVQs8RkZOHCg08WH9JkCxIhPoJ1trPofcPJnfBncEjNCm6uLYoqaEq3V8HBUGrRMnVDMrfYYVc9/iRTvzkFQljJI80VmVf1I6WEo36Kf5aXjcgLBpkRYEWVEgEU0Ok3YvFY4M77/sIqdD8RqJEACJEAC9hCQ9YbfoI2q6l9D6iJrGl97LmOdGAhQgCSC6ZFcBUgiQJvsu0ABEo9DfGgRsK4XAtKXQLlbQ9WNT4ysjzS+kcETYuzNgobAlb34+EUffPsyiZXUv5miCHI8Nzk3vuh/Bd6pLEM74+fOwImVkU1X6QY0/MLiVvsu3MOKg1cwpHEJZEnjE49QeCsSIAESIAEScJwABYjjzAy/ggLEcKQu0yAFSDwO9f2LwIzygKcvigctwvPgMKz/tAZK5YoiGGx1ydyfw2adh9H/8jwAmGjm3DjoOuBjPdx0PNLgrUiABEiABEggzgQoQOKMzrgLKUCMY+lqLVGAxOOIhwQBY7OqG3bMvBx/XAvH7HYV0Kh0jlg7IZl0fcdljLFeQOtfkb64jQRXWhSu14cBNaOYaMV6d1YgARIgARIggcRFIMEFiDgAi62/JJtz1UIB4qojr/+5KUD0M3SohSlFgSe38FX+Ofjqn7QY0KAoPqldKMYmgkPDUHjIJvj7mgId2CwS5crd3fbfQ4MBDzvNvRx6KFYmARIgARIggfglkOACxMPDQznvSoQjVy0UIK468vqfmwJEP0OHWniZiXxj0XH45JgfWlfMg4ktTYkqbRXJsvvBgr9iFCAhfq/Ds8Nqh7rCyiRAAiRAAiSQVAkkuABxd3dXOSAoQNLh4cOH0ULJcoGZVD9a8dNvzo/44Rxxl1UfAidX4USpgXjr77KoWiAjfvz41Rg7serQNfT76Vg0AbI+tAqaeLwMn/vBWqBA7Xh+GN6OBEiABEiABBKGQKIQIBLSNEuWLAlDIBHc1Z4TEMlFIXknWEjAnMDz58/h7+8PPz8/SHhhFicT2DwY2D8Lt0p3QdWDtZAjnS/2Daob4017LvsbM85a1pkS/C7qZbiJsk9MceVVksGYzK+c/FhsngRIgARIgATik0CiECCSxC02H5BffvklPrnE671iGoTQ0FCVNE9OiGLLvh2vnebNEgUBOTW7ceMGChUqBC8v+gc4fVB2fwVsG4Ggkq1Q9FBTdbvDw+ohYyrbSf/aDJ6E5d7jLLo2NLgTRr9TCu4bPwNyVwI+2ub0rvMGJEACJEACJJBYCCQKAdKqVatYd/cl+3RyLbENgvjIBAQEKBGSMmVKmCfVS65M+FyxEwgLC1PiQ4RH3rx5OS9iR6a/xtHlwJquCC/4OvxOfaTaW/FxVVQpkMlq248CgzFnTHcM8Fph8fc7fW8hS0oP4NBCoEAdIAuz6uofHLZAAiRAAiSQVAjEtvaN7Tncws3TWcdW28rf6QMCxDYIglj8ZESEsJCAOQH5/Ij5lbe37R14EjOQwPntwNLmQNaSKHN7BB4FhuCHj6qgeiFTJvOoRRIEFl1SBhndnkT8yS9wKS598ZaBnWJTJEACJEACJJC0CMS29o3taXQLEEbBil2AaIMg5ljBwcGxjQn/7kIERHiICGGJJwK3TgJzqgMpM6FlmqX4+/KDGHOBDF20AWP9LcPvdi+8A7PaVYinDvM2JEACJEACJJD4CCS4AOEJiP0CJPFNH/aIBFyMwKMbwJfFAXdPdM63Gb+duY2xTUvh/apmmcrNkNydVB6Zn100/SZ3ZQQ1mQnvbEVpLudi04aPSwIkQAIkYEkgwQXIn3/+ierVq8PT0xPbt29XP7dv34bYt5uXBQsWJNux0zsIyRYMH4wEEhuBwIfAF3lVr4aU3I4fDv2H3m8URu83rPtwXJlWF3kf/m16ihEBgJtbYnsi9ocESIAESIAE4p2A3rWvbhMs7YlHjRqF0aNHo2LFisiRI0e0HcLVq5Nvki69gxDvs4Y3JAFXJRAaAowxOZx/lmo8fr6XX/3b/4vG1omMTBf5+5EPXZUan5sESIAESIAELAjoXfsaJkBEdEyaNAnt27ePtyEaN24cNmzYgKNHjyonXmtO3leuXEH37t3x+++/q0hdbdu2xZQpUyycfuUUp2/fvjh16hRy5syJAQMGoGvXrnY/h95BsPtGrEgCJKCfwEtRccm3BOoEDLUtQJ7dByb5UYDoJ84WSIAESIAEkhkBvWtfwwSI5Lj466+/ULBgwXhDPGLECKRPnx7Xrl3D/PnzowkQcfouV66cSpI4depU3Lt3Dx06dEDz5s0xc+ZM1c9Lly6hVKlS6Ny5M7p06YI9e/bgk08+wfLly9GiRQu7nkXvINh1E1YiARIwhoDZqUb+wGW2Bcip1cBPHdXfT9ZdglKvvWPM/dkKCZAACZAACSRxAnrXvoYJkIEDByJ16tQYNmxYvCNdtGgRevfuHU2AbNq0CU2aNMHVq1fVyYaUH3/8ER07dlR+KmnTpoX0+9dff8WZM2ci+i2nH8eOHcO+ffvseha9g2DXTViJBEjAGAIH5wEbPkOId1oUejTHtBExoVE0s9Hbiz5AVv+12BZaHuUGbkHm1D7G3J+tkAAJkAAJkEASJ6B37WuYAOnVqxeWLFmCMmXKqJ+oWZ2//PJLp6G2JUCGDx+OtWvXKjGhlQcPHiBjxozKJKtOnTqoWbMmypcvj+nTp0fUEX8VSa747Nkzu7JT6x0Ep4FhwyRAAtEJ3PkXmFUZ4b7p4RcwW/390NA3kCmqwHh5UrI9tDxeH72Dka84l0iABEiABEjgJQG9a1/DBIgs5m0VyfwtC35nFVsC5OOPP4a/vz+2bt1qcWsfHx/INW3atEGRIkXUicjgwYMj6uzdu1dF9pIs1eLbErUEBQVBfrQig5AnTx48fPhQnaqwkAAJJGICj/8DpkrUKzeUCV+OR0FhWNa5CqoVNEtGGBoMjDH9//9e9MOC8fF/spuICbJrJEACJEACLk4g0QgQo8Zh5MiRkIhaMZWDBw+qaFtaiUmAXL58GVu2bLFoThzW5bTmvffeUwKkU6dOGDRoUEQd8QOpUaMGbt68iezZs0friq0+UoAYNQvYDgk4kUBIEDA2q7pBTbeFuPLcB3PefwUNSkV+1kOePoDnZFOErBpeP2L3kIZO7BCbJgESIAESIIGkRSDZCZC7d+9CfmIq+fPnh6+vb6wCxFkmWDwBSVofEvaWBKIRGJcDCH6GgbmWYMUFT3zRvDTeq2zKDyLl7q0ryDynNELD3RA27B68PD0IkQRIgARIgARI4CWBZCdA4jKysTmhS5QszZRqxYoVKhKWuRP6unXrcPr06Yhbd+vWTYX2pRN6XEaD15BAEiAwtTjw+Aa+9JuLGWfS4POGxdC1VmQEvwtnT6Dgshp4Bh+kHHk7CTwQu0gCJEACJEAC8UfApQWI5Pi4f/++imI1efJk7Nq1S5EvVKiQisilheHNli2b+rvUFX+Ppk2bRgvDKyF4JRSviA6JgsUwvPE3iXknEoh3ArOrAbdPYWnh6Rh6Igu61CqAQQ2LR3Rj+HcrMfp6ZzxwS4cMI67Ee/d4QxIgARIgARJIzARcWoCImFi8eHG08dmxYwdq166tfi8iRfJ6RE1EKI7oWpFEhH369IlIRCiheZmIMDFPe/aNBHQSWNgIuLwHm4tPQNcj+dC6Yh580aI0pm49i+DQMOzftRVrfYbjtntWZB1+TufNeDkJkAAJkAAJJC8CLi1AEstQ6h2ExPIc7AcJuAyB5W2BfzdgX7EhaHO0JBqXyYGGpbKjx7IjCkEVtzNY4TMG58JyofDoSPNMl+HDByUBEiABEiCBGAjoXfsaFobXlUdJ7yC4Mjs+OwkkCIE13YGjS3G8aC+8fayK6kLNIlmw8+wd9e/a7kexyHsSToTlR+nRkXmEEqSvvCkJkAAJkAAJJDICete+FCAGDKjeQTCgC2yCBEjAEQJbhgD7vsaebO3Q7nJjdWXZbF5YFNAJS0Lr4UxYPszx/gqBOSrDt8tvjrTMuiRAAiRAAiSQ7AnoXftSgBgwRfQOggFdYBMkQAKOEPhzMrBjLP7N2RRvXmylrvza9xs0gSmQRe8Xn+Ar79lAwdeB9qsdaZl1SYAESIAESCDZE9C79qUAMWCK6B0EA7rAJkiABBwh8Nd3wMZ+CC7SBIWPt1VXrkw5EZXDTOZWk4JbY4DXCqBYE+C9HxxpmXVJgARIgARIINkT0Lv2pQAxYIroHQQDusAmSIAEHCFwYhXw84dA/tdQ/kpPPHgWjL6eK9HTc41lK2XeA5rPdaRl1iUBEiABEiCBZE9A79qXAsSAKaJ3EAzoApsgARJwhMC5bcAPLYBspVH7yRj433uGsZ7z8b7ndstWSjYD3l3kSMusSwIkQAIkQALJnoDetS8FiAFTRO8gGNAFNkECJOAIgWuHgHmvA+nyoFbITFy+9wzfeE1DQ4+Dlq18ehjIFJkh3ZFbsC4JkAAJkAAJJFcCete+FCAGzAy9g2BAF9gECZCAIwTuXQBmVgC80yD/I5OJ1UKviajjESXk7siHjrTKuiRAAiRAAiTgEgT0rn0pQAyYJnoHwYAusAkSIAFHCDy9B0wuoK4oFLgEIfDED17jUN3jVGQrFToAb89wpFXWJQESIAESIAGXIKB37UsBYsA00TsIBnSBTZAACThCIDQEGJNJXbGyzg4M2HQTK71HobL7v5GtNJsLlH3PkVZZlwRIgARIgARcgoDetS8FiAHTRO8gGNAFNkECJOAogQl5gKBHuNl+N1797grWeA9FOfeLka20WwUUrudoq6xPAiRAAiRAAsmegN61LwWIAVNE7yAY0AU2QQIk4CiBaaWBh1fwqN0mlJn/AJu8P0dx9yuRrXT+Hcj1iqOtsj4JkAAJkAAJJHsCete+FCAGTBG9g2BAF9gECZCAowTmvAbcOo6wNitRYGEItnt/hoLuNyNb6X0CSJ/X0VZZnwRIgARIgASSPQG9a18KEAOmiN5BMKALbIIESMBRAkveAS7+ATSbi/zL02CXdy/kcb8T2cqQW4BXCkdbZX0SIAESIAESSPYE9K59KUAMmCJ6B8GALrAJEiABRwn8/BFw4ieg/jg0/rssFtx7H9ncAkytlG8PvPO1oy2yPgmQAAmQAAm4BAG9a18KEAOmid5BMKALbIIESMBRApsHAftnA9V74XqlQUg/swhShT4CPjkAZC3maGusTwIkQAIkQAIuQ0Dv2pcCxICponcQDOgCmyABEnCUwJ7pwG/DgdLvAi3mAeNzAS+eAD2PABlNOUJYSIAESIAESIAEohPQu/alADFgVukdBAO6wCZIgAQcJXDyF2BVJyBPFeDDrcDozEBYMNDnFJAut6OtsT4JkAAJkAAJuAwBvWtfChADporeQTCgC2yCBEjAUQJXDgAL6psiXfU8BozOYGqh33kgdRZHW2N9EiABEiABEnAZAnrXvhQgBkwVvYNgQBfYBAmQgKME7l8CZpQDPFMAA/2BcdlMLXx+BfBN52hrrE8CJEACJEACLkNA79qXAsSAqaJ3EAzoApsgARJwlMCLp8D4nKar+pwGppUw/XvIf4CXr6OtsT4JkAAJkAAJuAwBvWtfChADporeQTCgC2yCBEjAUQLh4cDYbEBoENB5B/BdHVMLwx8A7u6Otsb6JEACJEACJOAyBPSufSlADJgqegfBgC6wCRIggbgQmFIUeHILaLMCWN4acPcEht+LS0u8hgRIgARIgARchoDetS8FiAFTRe8gGNAFNkECJBAXArOqAnfOAG/NANb1BLxSAkNuxqUlXkMCJEACJEACLkNA79qXAsSAqaJ3EAzoApsgARKIC4GRL53Ny7YBji03OZ+LEzoLCZAACZAACZCATQJ6174UIAZMLr2DYEAX2AQJkEBcCGgCpPCbwLktQKqsQP9zcWmJ15AACZAACZCAyxDQu/alADFgqugdBAO6wCZIgATiQmB9H+DvBYAmQNLmBvqeiktLvIYESIAESIAEXIaA3rUvBYgBU0XvIBjQBTZBAiQQFwLbRgG7vwTS5QEeXgXS5wN6H49LS7yGBEiABEiABFyGgN61LwWIAVNF7yAY0AU2QQIkEBcCu78Cto2wvHLkw7i0xGtIgARIgARIwGUI6F37UoAYMFX0DoIBXWATJEACcSFw4FtgU38KkLiw4zUkQAIkQAIuS0Dv2pcCxICpo3cQDOgCmyABEogLgZ1TgN/HUIDEhR2vIQESIAEScFkCete+FCAGTB29g2BAF9gECZBAXAic3wYsbUEBEhd2vIYESIAESMBlCehd+1KAGDB19A6CAV1gEyRAAnEhEBYGjM4QeWXX3UD20nFpideQAAmQAAmQgMsQ0Lv2pQAxYKroHQQDusAmSIAE4krg+E/ALx+Zrh4RALi5xbUlXkcCJEACJEACLkFA79qXAsSAaaJ3EAzoApsgARKIK4GwUODUaqDg60DKjHFthdeRAAmQAAmQgMsQ0Lv2pQAxYKroHQQDusAmSIAESIAESIAESIAESCBeCOhd+1KAGDBMegfBgC6wCRIgARIgARIgARIgARKIFwJ6174UIAYM08OHD5E+fXpcvXoVadOmNaBFNkECJEACJEACJEACJEACiZOACJA8efIgICAA6dKlc7iTFCAOI4t+wbVr19QgsJAACZAACZAACZAACZCAqxCQzffcuXM7/LgUIA4ji35BWFgYbty4gTRp0sDNCRF0NJXJExYDBsvOJsjcTlAGVyN3g4Ha2Ry5WwdFLnZOIIOrkbvBQO1ojsztgOSEKkmZe3h4OB4/foycOXPC3d3dYToUIA4ji/8L9NrZxX+Pk/4dyTxhxpDcyT1hCNgWIGJaIGa2NK+Nv5HheyD+WGt3IvP4Zy53dGXuFCAJM+ccuqsrT1CHQBlYmcwNhOlAU+TuACwDq5I7BYiB00l3U5yPuhE63ACZO4zMkAtcmTsFiCFTyLmNuPIEdS5Z262TecKQJ3dyTxgCFCDknpgIxH9f+O6Nf+Y8AREjLpZETSAoKAgTJkzAoEGD4OPjk6j7mlw6R+YJM5LkTu4JQ8D6XTkfE2Y0yD3+uZN5/DOXO7oyd56AJMyc411JgARIgARIgARIgARIwCUJUIC45LDzoUmABEiABEiABEiABEggYQhQgCQMd96VBEiABEiABEiABEiABFySAAWISw47H5oESIAESIAESIAESIAEEoYABUjCcOddSYAESIAESIAESIAESMAlCVCAmA27RJr65Zdf8M8//yBFihSoVq0aJk6ciKJFi0bUkogF/fr1w/Lly/H8+XPUrVsXs2fPtkhD36tXL+zevRsnT55E8eLFcfTo0WiTa8uWLRgxYgROnToFX19f1KxZE1OmTIGfn1+ME/Hnn3/GsGHDcOHCBRQsWBDjxo1Ds2bNIq558uQJPv/8c6xZswb37t1D/vz50bNnT3Tr1i3GdqWdDRs2qL56e3sjICDAov6iRYvQqVMnq238999/yJo1a5w+QK7K3N/fH2PGjMHvv/+OW7duqUyi77//PoYMGaL4SwkMDETXrl1x6NAhnDlzBk2aNFHjakQhd9vcZWysfQ43bdqEBg0a6MJP7ta5a1zknRkSEoKwsDBky5YNffr0Qf/+/RXzxP7ulffgwIEDsXXrVvX+lHf6zJkzUbhw4RjnzIMHD9Q7+tdff1X13n77bXVd+vTp+R4AENt3nrO4O+s9kBzeAc5iLhN+5cqVGD9+PM6ePYssWbKgR48eEe8APS9fV+Ye2/pO1ort2rXD8ePH1bpR1nPvvPOOGgdnJmClADGb0bK4eO+991CpUiX1JSiLwRMnTuDMVZ9xAAAMEklEQVT06dNIlSqVqikL+XXr1kEW5JkyZcJnn32G+/fvq0Wih4eHqiNfJiJaDhw4oAY0qgC5ePEiSpQogb59++LDDz9UWXbli1bicB85csTmZ2zfvn147bXX1MJVRMfq1asxfPhwJXaqVKmiruvcuTN27NiBefPmKfEhX4affPKJeonLhLJVRAzJF961a9cwf/78aAJExJb007x07NhRLZL/+OOPOL8XXJX55s2bsWLFCrRp0waFChVSYlXGrn379kqISnn69KkSuxUqVFDjJ0LVKAFC7ra5awuPbdu2oWTJkhFzO2PGjBHiMK4Tntytcxcu8k6cMWOG2kDZu3ev+ky4ubmpDRdZhCTmd69Es5cNKy8vL0ydOlV9aX/55ZeQz7n594e1edOwYUP13v3222/Vnz/++GP17pbvGb4HYv7OcyZ3Z70Hkvo7wJnMZZNHE+D169dXG28fffSRWovJO0BPcWXusa3vZBPkxx9/VGtfEX3nz59H9+7d1dpj2bJlerDHeC0FSAx47ty5o5Tgn3/+qXazZAEug/P999+jdevW6sobN24gT5482LhxI958802L1kaOHKkWjFEFyKpVq9TCU3b03N3d1TXyZSMCQX4nX2LWitxTRIp8SLUiH6oMGTKoExkppUqVUn2TL22tvPLKK2jUqJESLrEVEVa9e/eOJkCiXidscuXKpcSKLJqNKq7IXGM3efJkfPPNNxCBGrWI2JNdVaMEiLXxdLW5bou7tvCQzYBy5coZNbWttsP5Hjnf27Zti+DgYPz000/QuMiiQ+a8bATJ/Eys717ZrZVNJxFNmmgNDQ1VfZZTdFlEWSuywBLhtX///ohNJPn3q6++qk7izU/f5Xq+B6BOIbXvPGdyj6/3QFJ7BziTufk7QPu8fPXVV0rUX7lyRW1IGFVchbs5L3vXd3KNbAbJmuTq1atGIY/WDgVIDGhFBcrxuXz5ycJezGXE5EpOPOQFqJWyZcuiadOmGDVqlEVrtgSIvNiKFSuGWbNmqS8UMZuS3W8RF7JjZqvkzZtXnZTIj1amTZsG+YBevnxZ/Uoz2ZEvbTHrkdMJ2VEQ0VKjRo1YJ5K9E1ReCCJobt68qczVjCquyFxjN3ToUDX+f//9d7wLEHKP5K4tPGRjQU745B0gn7mWLVsaNc0j2iH3SO4tWrRAypQplcjQuMhGirxnfvjhB2UikFjfvfIdUaZMGdVvMY3VSo4cOdTGlLxXrZUFCxaok/CoJq9yGi3v9qhmr84WIEltPjqTe3y9B8g8cq6bvwO0z8vcuXPVuubSpUvqZNCo4irc4yJAZGNdxGDu3LmxdOlSo5BTgNhLUo4Z5URCjqZ27dqlLpOjKPlCkFMK8yJHhWIzLh8U82JLgEidnTt34t1331X2drJTJjtecoqi2f1a66f4BsgXmUwMrUTt04sXL5SYWbJkCTw9PdUJi5hj2XtKYa8AkV2+WrVqKf8Xo4qrMhd+4tMjx50i7Kztljpz4UHultzv3r2rFsHVq1dXnx+xzRcb2sWLFys/HaMKuVtyFxMkEXpr167F9OnT1eaGmCHKSYC8S8UeObG+e+XkRoRq5cqV1feAmOyKCdagQYMg3w/i82etyDPJO1d2lc1LkSJF1HeNXG9e+B6w/B52Jvf4eA8kxXeAM5lr7wB559apU0cJelmHyTtAzDJlnWREcSXujggQscyR96+Y3L/11lvKH0dMv51VeAJig6zYv4lTtvhXiAqMSYDUq1dP7XrNmTPHLgEiTsdi0iWnJjLgjx8/Vr4cIhh+++03deQlx/JaGTx4MORHBIgsguQarcjOoPiRyE6tFPEf+O6779R/8+XLp4SOfImJv8gbb7yhdhLMFa2cvjgyQaWu+KKIvbPs1It5l1HFVZnLboOIOfkRsWitOHPhQe62uWtj8emnnypTTPHpMqqQuyV3WRSI/4eIcNmUSZcunRIkIj5Gjx6NsWPHRhMgiendK36A8i4+duyY8geU961mYiubS9bevSJA5J3+77//WkwrETPSlvCILwGSVOdjfHB31nuAzKGEuzbXtXeAmP+I0BFfKgnqI+8A8akVgW9EcSXujqzvZG0qp7HyPpI1p9GbzFHHjgLEymyWxYaYMMni3TwajlEmWGJWICZR5qY24oQoJh+yuK9YsSLk+Fcr4vwqP7GZYIlqlS9tERuNGzeOuF521KV9Me+5ffu2MvXSijhAOzJBpa68LA4fPhyjw7yjLwlXZS7iQ3Z6JIiA7IRqC5ao/JwlQMg9Zu7mQl8+R/IZM6KQu3XuGhfZeZPNje3btyv/NfGbExM4vSZYznr3ms8J8RWUk2jxF5TPtbzPxdzW2rs3sZhgJdX5GF/cnfEeIHMTVWvmhrIBIYth+Qxp7wA90TbN54mrcXd0fafVl813CXokaxQxJXVGoQAxoyrqWyanLODFdyJq+ETNCV1OEFq1aqWuFDMBOSFxxAldImfJ4Iqi14q0Iz4be/bsUacL1oo4l8tpidxLKxJBRT7A4oQuwkIEiPxdfq+VLl26KPtJiYgVW4nNBEtOTGQySkg7vVEppC+uzPz69etKfMhCS+aUFkXN2hgZLUDI3T7u2lhINDIJ0W0tQEBsnynzv5O7de62uHzwwQfKDEM2bGQxkljfvdbmwLlz55Svn/RdzLCsFc0J3Xx3V/5dtWrVeHFCT+rzMb64G/keIPPIk4yY5rrGXHsHiAmWnuKq3OMqQMT1QCx1jPa9Me8PBYgZDQlXKz4VYgNnHn1EFvWao7WEgly/fr3arZZTCVmYiB+HeRhe+cKUhbqYZElIXAm3KkXMqsSMSk5S5HhejhU1Eyw57hI7R/lCsuXULR9AmRBijy52kdJPcVw2D8Nbu3ZtiO3q119/rUywxGxE+iz2yDHlApEIE7K7KLaXEvlA83uRE5LUqVNHUJKoVyI8RBWbO+LH9cXgqsw1sys51RJ/HXPxkT179gicEsJTdlPFRE/EpzimStEbnYncbXMXkxiJRFe+fHl1IiUR6uTzKdGMzANAxGXOk7t17sJFMyeVEOPi6yFhIUVwyEm0mF4k9nevRO8SkSSfaXGOFtMR2VyQENoxFdkskveB5kMoYXjl3a2F4ZVr+R6w/Z3nLO7Oeg8kh3eAs5jL2kVOO2UdI2blCxcuVOGpZR2j1/zKlbnHtr6TTWs5YZIwvLLek/fNgAED1Oa2rC+dVShAzMjaCvEmHwLZgZYiHwpJjCVCxTwRoZhPaUU+PPKBiVrMlaR8uU6aNEk5H0rkF3GukgWO7JjFVOTDKaJDdmK1RITNmzePuESOLcXnQ047RFDIF5l8ocnCKaYQdvJ88sKNWkRAyfNoRU5nxCxNFgtGFFdlHlNiR9mp0YpE/dAinJnzNq8Tl3Eg9+jUNKbyOZDPonAXYSgOwRKa2ggHdHK3zt0WF3nXaeHDE/u7VwtbKV/kckosO7di8qUlFrX1OZX3dNREhLKBZB6QhO8B2995zuLurPdAcngHOIu5CBBxfhYBL+9jWRfJhquW5ywu33XaNa7MPbb1nazzJNeKCA/Z/JH1rKwrxQctpsBIesZDrqUA0UuQ15MACZAACZAACZAACZAACdhNgALEblSsSAIkQAIkQAIkQAIkQAIkoJcABYhegryeBEiABEiABEiABEiABEjAbgIUIHajYkUSIAESIAESIAESIAESIAG9BChA9BLk9SRAAiRAAiRAAiRAAiRAAnYToACxGxUrkgAJkAAJkAAJkAAJkAAJ6CVAAaKXIK8nARIgARIgARIgARIgARKwmwAFiN2oWJEESIAESIAESIAESIAESEAvAQoQvQR5PQmQAAmQAAmQAAmQAAmQgN0EKEDsRsWKJEACJEACJEACJEACJEACeglQgOglyOtJgARIgARIgARIgARIgATsJkABYjcqViQBEiABEiABEiABEiABEtBLgAJEL0FeTwIkQAIkQAIkQAIkQAIkYDcBChC7UbEiCZAACZAACZAACZAACZCAXgIUIHoJ8noSIAESIAESIAESIAESIAG7CVCA2I2KFUmABEiABEiABEiABEiABPQSoADRS5DXkwAJkAAJkAAJkAAJkAAJ2E2AAsRuVKxIAiRAAiRAAiRAAiRAAiSgl8D/AZgGVH+EoESpAAAAAElFTkSuQmCC\" width=\"800\">"
+      ],
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x1c163a1210>"
+       "<IPython.core.display.HTML object>"
       ]
      },
      "metadata": {},
@@ -202,66 +2001,888 @@
     }
    ],
    "source": [
-    "# This obtains the currently running (old version) of DST data\n",
-    "dst_factory = EdgeFactory()\n",
-    "chan = ['MGD','MSD',]\n",
-    "OG_DST = input_factory.get_timeseries(\n",
-    "        starttime=start,\n",
-    "        endtime=end,\n",
-    "        channels=chan,\n",
-    "        observatory='USGS',\n",
-    "        type='variation',\n",
-    "        interval='minute')\n",
+    "# plot up 3 disturbance traces, then the Dst traces\n",
+    "\n",
+    "# generate list of UTCDateTimes for plotting\n",
+    "utc_arr = np.array([(stream3plusDst3Legacy[0].stats.starttime + second) \n",
+    "                    for second in stream3plusDst3Legacy[0].times()])\n",
+    "dt_arr = [utc.datetime for utc in utc_arr]\n",
+    "\n",
+    "# plot disturbance traces\n",
+    "plt.figure(figsize=(8,6))\n",
+    "\n",
+    "plt.subplot(411)\n",
+    "plt.plot(dt_arr, stream3plusDst3Legacy[0].data)\n",
+    "plt.plot(dt_arr, stream3plusDst3New[0].data)\n",
+    "plt.xlim([dt_arr[0], dt_arr[-1]])\n",
+    "plt.legend(['Legacy SJG Dist', 'New SJG Dist'], loc='upper left')\n",
+    "plt.ylabel('nT')\n",
+    "# plt.gca().set_xticklabels([])\n",
+    "\n",
+    "plt.subplot(412)\n",
+    "plt.plot(dt_arr, stream3plusDst3Legacy[1].data)\n",
+    "plt.plot(dt_arr, stream3plusDst3New[1].data)\n",
+    "plt.xlim([dt_arr[0], dt_arr[-1]])\n",
+    "plt.legend(['Legacy HON Dist', 'New HON Dist'], loc='upper left')\n",
+    "plt.ylabel('nT')\n",
+    "# plt.gca().set_xticklabels([])\n",
+    "\n",
+    "plt.subplot(413)\n",
+    "plt.plot(dt_arr, stream3plusDst3Legacy[2].data)\n",
+    "plt.plot(dt_arr, stream3plusDst3New[2].data)\n",
+    "plt.xlim([dt_arr[0], dt_arr[-1]])\n",
+    "plt.legend(['Legacy GUA Dist', 'New GUA Dist'], loc='upper left')\n",
+    "plt.ylabel('nT')\n",
+    "# plt.gca().set_xticklabels([])\n",
+    "\n",
     "\n",
-    "# This just renames the channels for clarity in comparing the old and new DST\n",
-    "OG_DST.select(channel='MGD')[0].stats.channel = 'DST'\n",
-    "OG_DST.select(channel='DST')[0].stats.station = 'old'\n",
-    "OG_DST.select(channel='MSD')[0].stats.channel = 'DST3'\n",
-    "OG_DST.select(channel='DST3')[0].stats.station = 'old'\n",
-    "dst3_stream[0].stats.channel = 'DST3'\n",
-    "dst4_stream[0].stats.channel = 'DST'\n",
-    "\n",
-    "# # Plots each stream separately\n",
-    "# OG_DST.plot()\n",
-    "# dst3_stream.plot()\n",
-    "# dst4_stream.plot()\n",
-    "\n",
-    "# For easier comparison\n",
-    "all_streams = OG_DST + dst3_stream + dst4_stream\n",
-    "all_dst3 = all_streams.select(channel='DST3')\n",
-    "all_dst = all_streams.select(channel='DST')\n",
-    "all_dst3.plot()\n",
-    "all_dst.plot()\n",
-    "    "
+    "plt.subplot(414)\n",
+    "plt.plot(dt_arr, stream3plusDst3Legacy[3].data)\n",
+    "plt.plot(dt_arr, stream3plusDst3New[3].data)\n",
+    "plt.xlim([dt_arr[0], dt_arr[-1]])\n",
+    "plt.legend(['Legacy Dst3', 'New Dst3'], loc='upper left')\n",
+    "plt.ylabel('nT')\n",
+    "\n",
+    "plt.tight_layout()"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "## Comparison"
+    "## [1 Month of SV and SQ](#Average-Algorithm---Contents:)\n",
+    "\n",
+    "The previous figures were of observatory-specific magnetic disturbance and Dst. For context, the sum of secular variation (SV) and solar quiet (SQ) baselines, which was removed to generate disturbance, are plotted below for both the legacy and new Dst algorithms. Also plotted are the original magnetic H observations. There is an inordinate amount of high frequency noise in the legacy baselines that cannot be easily explained, although it must be acknowledged that the new algorithm specifically smooths variations with periods less than 3 hours. This does **NOT** explain the large discrepancy noted previously for GUA at the beginning of the storm."
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
-   "metadata": {},
+   "execution_count": 11,
+   "metadata": {
+    "code_folding": [
+     0
+    ]
+   },
+   "outputs": [],
+   "source": [
+    "# retrieve the Hs used by each respective algorithm,\n",
+    "# just to be thorough (they shouldn't differ by much)\n",
+    "streamHEZ = Stream()\n",
+    "stream3Hmag = Stream()\n",
+    "stream3Hobs = Stream()\n",
+    "XYZalgo = XYZAlgorithm(informat='obs', outformat='mag')\n",
+    "for obs in observatories:\n",
+    "    streamHEZ = input_factory.get_timeseries(\n",
+    "        starttime=start,\n",
+    "        endtime=end,\n",
+    "        channels=['H', 'E', 'Z'],\n",
+    "        observatory=obs,\n",
+    "        type='variation',\n",
+    "        interval='minute')\n",
+    "    \n",
+    "    # total horizontal intensity\n",
+    "    stream3Hmag += XYZalgo.process(streamHEZ).select(channel='H')\n",
+    "    \n",
+    "    # h component of magnetometer\n",
+    "    stream3Hobs += streamHEZ.select(channel='H')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {
+    "code_folding": [
+     0
+    ]
+   },
    "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",
+       "        fig.ws.close();\n",
+       "    }\n",
+       "\n",
+       "    this.ws.onmessage = this._make_on_message_function(this);\n",
+       "\n",
+       "    this.ondownload = ondownload;\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._init_header = function() {\n",
+       "    var titlebar = $(\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 / mpl.ratio, fig.canvas.height / mpl.ratio);\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 overridden (by mpl) onmessage function.\n",
+       "        ws.onmessage(msg['content']['data'])\n",
+       "    });\n",
+       "    return ws;\n",
+       "}\n",
+       "\n",
+       "mpl.mpl_figure_comm = function(comm, msg) {\n",
+       "    // This is the function which gets called when the mpl process\n",
+       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
+       "\n",
+       "    var id = msg.content.data.id;\n",
+       "    // Get hold of the div created by the display call when the Comm\n",
+       "    // socket was opened in Python.\n",
+       "    var element = $(\"#\" + 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",
+       "        event.shiftKey = false;\n",
+       "        // Send a \"J\" for go to next cell\n",
+       "        event.which = 74;\n",
+       "        event.keyCode = 74;\n",
+       "        manager.command_mode();\n",
+       "        manager.handle_keydown(event);\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": [
-       "<matplotlib.legend.Legend at 0x1c169a94d0>"
+       "<IPython.core.display.Javascript object>"
       ]
      },
-     "execution_count": 6,
      "metadata": {},
-     "output_type": "execute_result"
+     "output_type": "display_data"
     },
     {
      "data": {
-      "image/png": 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\n",
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\" width=\"800\">"
+      ],
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x1c161155d0>"
+       "<IPython.core.display.HTML object>"
       ]
      },
      "metadata": {},
@@ -269,19 +2890,45 @@
     }
    ],
    "source": [
-    "dst3_difference = all_dst3[0].data - all_dst3[1].data\n",
-    "dst_difference = all_dst[0].data - all_dst[1].data\n",
-    "times = all_dst3[0].times(reftime=start)\n",
-    "plt.plot(times,dst3_difference)\n",
-    "plt.plot(times,dst_difference)\n",
-    "plt.legend(['dst3','dst'])"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "The difference between the 3 station dst is quite large but the 4 station is near identical. The large spike in the 4 station dst is actually indicative that the new method is working. In the previous version, if a channel had a gap then the dst formula would average only 3 stations instead of 4. Now if even 1 channel is missing a gap is created because the dst requires 4 stations. The much larger difference in the 3 station could be due to different correction factors."
+    "# plot up 3 SV+SQ traces, then overplot full H magnetic field\n",
+    "\n",
+    "# generate list of UTCDateTimes for plotting\n",
+    "utc_arr = np.array([(stream3plusDst3Legacy[0].stats.starttime + second) \n",
+    "                    for second in stream3plusDst3Legacy[0].times()])\n",
+    "dt_arr = [utc.datetime for utc in utc_arr]\n",
+    "\n",
+    "# plot disturbance traces\n",
+    "plt.figure(figsize=(8,6))\n",
+    "\n",
+    "plt.subplot(311)\n",
+    "plt.plot(dt_arr, stream3Hobs[0].data - stream3plusDst3Legacy[0].data)\n",
+    "plt.plot(dt_arr, stream3Hmag[0].data - stream3plusDst3New[0].data)\n",
+    "plt.plot(dt_arr, stream3Hmag[0].data, alpha=0.5)\n",
+    "plt.xlim([dt_arr[0], dt_arr[-1]])\n",
+    "plt.legend(['Legacy SJG SV+SQ', 'New SJG SV+SQ', 'SJG H'], loc='lower left')\n",
+    "plt.ylabel('nT')\n",
+    "# plt.gca().set_xticklabels([])\n",
+    "\n",
+    "plt.subplot(312)\n",
+    "plt.plot(dt_arr, stream3Hobs[1].data - stream3plusDst3Legacy[1].data)\n",
+    "plt.plot(dt_arr, stream3Hmag[1].data - stream3plusDst3New[1].data)\n",
+    "plt.plot(dt_arr, stream3Hmag[1].data, alpha=0.5)\n",
+    "plt.xlim([dt_arr[0], dt_arr[-1]])\n",
+    "plt.legend(['Legacy HON SV+SQ', 'New HON SV+SQ', 'HON H'], loc='lower left')\n",
+    "plt.ylabel('nT')\n",
+    "# plt.gca().set_xticklabels([])\n",
+    "\n",
+    "plt.subplot(313)\n",
+    "plt.plot(dt_arr, stream3Hobs[2].data - stream3plusDst3Legacy[2].data)\n",
+    "plt.plot(dt_arr, stream3Hmag[2].data - stream3plusDst3New[2].data)\n",
+    "plt.plot(dt_arr, stream3Hmag[2].data, alpha=0.5)\n",
+    "plt.xlim([dt_arr[0], dt_arr[-1]])\n",
+    "plt.legend(['Legacy GUA SV+SQ', 'New GUA SV+SQ', 'GUA H'], loc='lower left')\n",
+    "plt.ylabel('nT')\n",
+    "# plt.gca().set_xticklabels([])\n",
+    "\n",
+    "\n",
+    "plt.tight_layout()"
    ]
   }
  ],
@@ -294,14 +2941,14 @@
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.14"
+   "pygments_lexer": "ipython3",
+   "version": "3.6.9"
   }
  },
  "nbformat": 4,