Optimizer.ipynb

Optimizer.ipynb

{
  "cells": [
    {
      "metadata": {},
      "cell_type": "markdown",
      "source": "# ゼロから作るDeep Learning第六章 補助資料A\n2変数の誤差関数を用いてオプティマイザの簡単な可視化を行います\n\nmatplotlibとnumpyが必要です"
    },
    {
      "metadata": {
        "ExecuteTime": {
          "end_time": "2018-06-08T00:23:13.155720Z",
          "start_time": "2018-06-08T00:23:12.483934Z"
        },
        "trusted": false
      },
      "cell_type": "code",
      "source": "import numpy as np\nimport math\n%matplotlib notebook\nimport matplotlib.pyplot as plt\nimport matplotlib.animation as animation\nfrom mpl_toolkits.mplot3d import Axes3D",
      "execution_count": 1,
      "outputs": []
    },
    {
      "metadata": {
        "ExecuteTime": {
          "end_time": "2018-06-08T00:23:13.877803Z",
          "start_time": "2018-06-08T00:23:13.872788Z"
        },
        "trusted": false
      },
      "cell_type": "code",
      "source": "def get_grad(w_div,w0,w1,partial_w0,partial_w1):\n    df_dw0 = np.zeros((w_div,w_div))\n    df_dw1 = np.zeros((w_div,w_div))\n\n    for i in range(w_div):\n        for j in range(w_div):\n            df_dw0[j, i] = partial_w0(w0[i], w1[j])\n            df_dw1[j, i] = partial_w1(w0[i], w1[j])\n    return df_dw0, df_dw1\n",
      "execution_count": 2,
      "outputs": []
    },
    {
      "metadata": {
        "ExecuteTime": {
          "end_time": "2018-06-08T00:23:14.519511Z",
          "start_time": "2018-06-08T00:23:14.515501Z"
        },
        "trusted": false
      },
      "cell_type": "code",
      "source": "def draw_grad(w_range,w_div,func,partial_w0,partial_w1):\n    w0 = np.linspace(-w_range,w_range,w_div)\n    w1 = np.linspace(-w_range,w_range,w_div)\n    fig = plt.figure(figsize=(6,6))\n    W0,W1=np.meshgrid(w0, w1)\n    F = func(W0, W1)\n    ax2 = fig.add_subplot('111',projection='3d')\n    ax2.plot_surface(W0, W1, F)\n    plt.show()\n\ndef draw_quiver(w_range,w_div,partial_w0,partial_w1):\n    w0 = np.linspace(-w_range,w_range,w_div)\n    w1 = np.linspace(-w_range,w_range,w_div)\n    dw0, dw1 = get_grad(w_div,w0,w1,partial_w0,partial_w1)\n    return plt.quiver(w0, w1, -dw0, -dw1)",
      "execution_count": 3,
      "outputs": []
    },
    {
      "metadata": {
        "ExecuteTime": {
          "end_time": "2018-06-08T00:23:16.021506Z",
          "start_time": "2018-06-08T00:23:15.914223Z"
        },
        "trusted": false
      },
      "cell_type": "code",
      "source": "def f(w0, w1):\n    return 0.8*(w0**2)+(w1**2)\n\ndef dfdw0(w0, w1):\n    return 1.6*w0\n\ndef dfdw1(w0, w1):\n    return 2*w1\n\ndraw_grad(0.3,25,f,dfdw0,dfdw1)",
      "execution_count": 4,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": "/* Put everything inside the global mpl namespace */\nwindow.mpl = {};\n\n\nmpl.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\nmpl.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\nmpl.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\nmpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n\n}\n\n\nmpl.figure.prototype._root_extra_style = function(canvas_div) {\n\n}\n\nmpl.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\nmpl.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\nmpl.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\nmpl.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\nmpl.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\nmpl.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\nmpl.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\nmpl.figure.prototype.handle_rubberband = function(fig, msg) {\n    var x0 = msg['x0'] / mpl.ratio;\n    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n    var x1 = msg['x1'] / mpl.ratio;\n    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n    x0 = Math.floor(x0) + 0.5;\n    y0 = Math.floor(y0) + 0.5;\n    x1 = Math.floor(x1) + 0.5;\n    y1 = Math.floor(y1) + 0.5;\n    var min_x = Math.min(x0, x1);\n    var min_y = Math.min(y0, y1);\n    var width = Math.abs(x1 - x0);\n    var height = Math.abs(y1 - y0);\n\n    fig.rubberband_context.clearRect(\n        0, 0, fig.canvas.width, fig.canvas.height);\n\n    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n}\n\nmpl.figure.prototype.handle_figure_label = function(fig, msg) {\n    // Updates the figure title.\n    fig.header.textContent = msg['label'];\n}\n\nmpl.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\nmpl.figure.prototype.handle_message = function(fig, msg) {\n    fig.message.textContent = msg['message'];\n}\n\nmpl.figure.prototype.handle_draw = function(fig, msg) {\n    // Request the server to send over a new figure.\n    fig.send_draw_message();\n}\n\nmpl.figure.prototype.handle_image_mode = function(fig, msg) {\n    fig.image_mode = msg['mode'];\n}\n\nmpl.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.\nmpl.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\nmpl.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 */\nfunction 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\nmpl.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\nmpl.figure.prototype._key_event_extra = function(event, name) {\n    // Handle any extra behaviour associated with a key event\n}\n\nmpl.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\nmpl.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\nmpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n    this.message.textContent = tooltip;\n};\nmpl.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\nmpl.extensions = [\"eps\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\"];\n\nmpl.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\nmpl.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\nmpl.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\nmpl.figure.prototype.close_ws = function(fig, msg){\n    fig.send_message('closing', msg);\n    // fig.ws.close()\n}\n\nmpl.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\nmpl.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\nmpl.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\nmpl.figure.prototype._root_extra_style = function(el){\n    var fig = this\n    el.on(\"remove\", function(){\n\tfig.close_ws(fig, {});\n    });\n}\n\nmpl.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\nmpl.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\nmpl.figure.prototype.handle_save = function(fig, msg) {\n    fig.ondownload(fig, null);\n}\n\n\nmpl.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.\nif (IPython.notebook.kernel != null) {\n    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n}\n",
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\" width=\"600\">"
          },
          "metadata": {}
        }
      ]
    },
    {
      "metadata": {
        "ExecuteTime": {
          "end_time": "2018-06-08T00:23:17.376543Z",
          "start_time": "2018-06-08T00:23:17.312392Z"
        },
        "trusted": false
      },
      "cell_type": "code",
      "source": "def f(w0, w1):\n    return 1*(w0**2)+80*(w1**2)\n\ndef dfdw0(w0, w1):\n    return 2*w0\n\ndef dfdw1(w0, w1):\n    return 160*w1\n\ndraw_grad(0.3,25,f,dfdw0,dfdw1)",
      "execution_count": 5,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": "/* Put everything inside the global mpl namespace */\nwindow.mpl = {};\n\n\nmpl.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\nmpl.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\nmpl.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\nmpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n\n}\n\n\nmpl.figure.prototype._root_extra_style = function(canvas_div) {\n\n}\n\nmpl.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\nmpl.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\nmpl.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\nmpl.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\nmpl.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\nmpl.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\nmpl.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\nmpl.figure.prototype.handle_rubberband = function(fig, msg) {\n    var x0 = msg['x0'] / mpl.ratio;\n    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n    var x1 = msg['x1'] / mpl.ratio;\n    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n    x0 = Math.floor(x0) + 0.5;\n    y0 = Math.floor(y0) + 0.5;\n    x1 = Math.floor(x1) + 0.5;\n    y1 = Math.floor(y1) + 0.5;\n    var min_x = Math.min(x0, x1);\n    var min_y = Math.min(y0, y1);\n    var width = Math.abs(x1 - x0);\n    var height = Math.abs(y1 - y0);\n\n    fig.rubberband_context.clearRect(\n        0, 0, fig.canvas.width, fig.canvas.height);\n\n    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n}\n\nmpl.figure.prototype.handle_figure_label = function(fig, msg) {\n    // Updates the figure title.\n    fig.header.textContent = msg['label'];\n}\n\nmpl.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\nmpl.figure.prototype.handle_message = function(fig, msg) {\n    fig.message.textContent = msg['message'];\n}\n\nmpl.figure.prototype.handle_draw = function(fig, msg) {\n    // Request the server to send over a new figure.\n    fig.send_draw_message();\n}\n\nmpl.figure.prototype.handle_image_mode = function(fig, msg) {\n    fig.image_mode = msg['mode'];\n}\n\nmpl.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.\nmpl.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\nmpl.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 */\nfunction 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\nmpl.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\nmpl.figure.prototype._key_event_extra = function(event, name) {\n    // Handle any extra behaviour associated with a key event\n}\n\nmpl.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\nmpl.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\nmpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n    this.message.textContent = tooltip;\n};\nmpl.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\nmpl.extensions = [\"eps\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\"];\n\nmpl.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\nmpl.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\nmpl.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\nmpl.figure.prototype.close_ws = function(fig, msg){\n    fig.send_message('closing', msg);\n    // fig.ws.close()\n}\n\nmpl.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\nmpl.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\nmpl.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\nmpl.figure.prototype._root_extra_style = function(el){\n    var fig = this\n    el.on(\"remove\", function(){\n\tfig.close_ws(fig, {});\n    });\n}\n\nmpl.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\nmpl.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\nmpl.figure.prototype.handle_save = function(fig, msg) {\n    fig.ondownload(fig, null);\n}\n\n\nmpl.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.\nif (IPython.notebook.kernel != null) {\n    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n}\n",
            "text/plain": "<IPython.core.display.Javascript object>"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
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\" width=\"600\">"
          },
          "metadata": {}
        }
      ]
    },
    {
      "metadata": {
        "ExecuteTime": {
          "end_time": "2018-06-08T00:23:18.265008Z",
          "start_time": "2018-06-08T00:23:18.258993Z"
        },
        "trusted": false
      },
      "cell_type": "code",
      "source": "def draw_quiver_with_optim(optimizer,learning_rate, x0, y0, epochs, w_range, w_div, partial_w0, partial_w1,*args):\n    \n    xs, ys = optimizer(x0, y0, learning_rate,epochs, partial_w0, partial_w1,args)\n    fig = plt.figure(figsize=(6,6))\n    imgs = []\n    draw_quiver(w_range, w_div, partial_w0, partial_w1)\n    plt.plot(xs,ys,marker='o')\n    plt.scatter(0,0,c='r',marker='x')\n    for i in range(epochs+1):\n        plt.annotate(str(i+1), (xs[i], ys[i]))\n    plt.show()",
      "execution_count": 6,
      "outputs": []
    },
    {
      "metadata": {},
      "cell_type": "markdown",
      "source": "## SGD"
    },
    {
      "metadata": {
        "ExecuteTime": {
          "end_time": "2018-06-08T00:23:19.947576Z",
          "start_time": "2018-06-08T00:23:19.942565Z"
        },
        "trusted": false
      },
      "cell_type": "code",
      "source": "def SGD(x0,y0,learning_rate,epochs,partial_x,partial_y,*args):\n    xs = [x0]\n    ys = [y0]\n    for i in range(epochs):\n        gx = partial_x(xs[-1], ys[-1])\n        gy = partial_y(xs[-1], ys[-1])\n        x_new = xs[-1] - gx*learning_rate\n        y_new = ys[-1] - gy*learning_rate\n        xs.append(x_new)\n        ys.append(y_new)\n    return xs, ys",
      "execution_count": 7,
      "outputs": []
    },
    {
      "metadata": {
        "ExecuteTime": {
          "end_time": "2018-06-08T00:23:21.456685Z",
          "start_time": "2018-06-08T00:23:21.421592Z"
        },
        "trusted": false
      },
      "cell_type": "code",
      "source": "def f(w0, w1):\n    return 0.8*(w0**2)+(w1**2)\n\ndef dfdw0(w0, w1):\n    return 1.6*w0\n\ndef dfdw1(w0, w1):\n    return 2*w1\n\ndraw_quiver_with_optim(SGD,0.1,-0.24,0.2,20,0.3,25,dfdw0,dfdw1)",
      "execution_count": 8,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": "/* Put everything inside the global mpl namespace */\nwindow.mpl = {};\n\n\nmpl.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\nmpl.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\nmpl.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\nmpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n\n}\n\n\nmpl.figure.prototype._root_extra_style = function(canvas_div) {\n\n}\n\nmpl.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\nmpl.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\nmpl.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\nmpl.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\nmpl.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\nmpl.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\nmpl.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\nmpl.figure.prototype.handle_rubberband = function(fig, msg) {\n    var x0 = msg['x0'] / mpl.ratio;\n    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n    var x1 = msg['x1'] / mpl.ratio;\n    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n    x0 = Math.floor(x0) + 0.5;\n    y0 = Math.floor(y0) + 0.5;\n    x1 = Math.floor(x1) + 0.5;\n    y1 = Math.floor(y1) + 0.5;\n    var min_x = Math.min(x0, x1);\n    var min_y = Math.min(y0, y1);\n    var width = Math.abs(x1 - x0);\n    var height = Math.abs(y1 - y0);\n\n    fig.rubberband_context.clearRect(\n        0, 0, fig.canvas.width, fig.canvas.height);\n\n    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n}\n\nmpl.figure.prototype.handle_figure_label = function(fig, msg) {\n    // Updates the figure title.\n    fig.header.textContent = msg['label'];\n}\n\nmpl.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\nmpl.figure.prototype.handle_message = function(fig, msg) {\n    fig.message.textContent = msg['message'];\n}\n\nmpl.figure.prototype.handle_draw = function(fig, msg) {\n    // Request the server to send over a new figure.\n    fig.send_draw_message();\n}\n\nmpl.figure.prototype.handle_image_mode = function(fig, msg) {\n    fig.image_mode = msg['mode'];\n}\n\nmpl.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.\nmpl.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\nmpl.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 */\nfunction 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\nmpl.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\nmpl.figure.prototype._key_event_extra = function(event, name) {\n    // Handle any extra behaviour associated with a key event\n}\n\nmpl.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\nmpl.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\nmpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n    this.message.textContent = tooltip;\n};\nmpl.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\nmpl.extensions = [\"eps\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\"];\n\nmpl.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\nmpl.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\nmpl.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\nmpl.figure.prototype.close_ws = function(fig, msg){\n    fig.send_message('closing', msg);\n    // fig.ws.close()\n}\n\nmpl.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\nmpl.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\nmpl.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\nmpl.figure.prototype._root_extra_style = function(el){\n    var fig = this\n    el.on(\"remove\", function(){\n\tfig.close_ws(fig, {});\n    });\n}\n\nmpl.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\nmpl.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\nmpl.figure.prototype.handle_save = function(fig, msg) {\n    fig.ondownload(fig, null);\n}\n\n\nmpl.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.\nif (IPython.notebook.kernel != null) {\n    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n}\n",
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        },
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          "output_type": "display_data",
          "data": {
            "text/plain": "<IPython.core.display.HTML object>",
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\" width=\"600\">"
          },
          "metadata": {}
        }
      ]
    },
    {
      "metadata": {
        "ExecuteTime": {
          "end_time": "2018-06-08T00:24:31.537893Z",
          "start_time": "2018-06-08T00:24:31.500795Z"
        },
        "trusted": false
      },
      "cell_type": "code",
      "source": "def f(w0, w1):\n    return 1*(w0**2)+80*(w1**2)\n\ndef dfdw0(w0, w1):\n    return 2*w0\n\ndef dfdw1(w0, w1):\n    return 160*w1\n\ndraw_quiver_with_optim(SGD,0.004,-0.24,0.30,50,0.3,25,dfdw0,dfdw1)",
      "execution_count": 15,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": "/* Put everything inside the global mpl namespace */\nwindow.mpl = {};\n\n\nmpl.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\nmpl.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\nmpl.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\nmpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n\n}\n\n\nmpl.figure.prototype._root_extra_style = function(canvas_div) {\n\n}\n\nmpl.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\nmpl.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\nmpl.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\nmpl.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\nmpl.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\nmpl.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\nmpl.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\nmpl.figure.prototype.handle_rubberband = function(fig, msg) {\n    var x0 = msg['x0'] / mpl.ratio;\n    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n    var x1 = msg['x1'] / mpl.ratio;\n    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n    x0 = Math.floor(x0) + 0.5;\n    y0 = Math.floor(y0) + 0.5;\n    x1 = Math.floor(x1) + 0.5;\n    y1 = Math.floor(y1) + 0.5;\n    var min_x = Math.min(x0, x1);\n    var min_y = Math.min(y0, y1);\n    var width = Math.abs(x1 - x0);\n    var height = Math.abs(y1 - y0);\n\n    fig.rubberband_context.clearRect(\n        0, 0, fig.canvas.width, fig.canvas.height);\n\n    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n}\n\nmpl.figure.prototype.handle_figure_label = function(fig, msg) {\n    // Updates the figure title.\n    fig.header.textContent = msg['label'];\n}\n\nmpl.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\nmpl.figure.prototype.handle_message = function(fig, msg) {\n    fig.message.textContent = msg['message'];\n}\n\nmpl.figure.prototype.handle_draw = function(fig, msg) {\n    // Request the server to send over a new figure.\n    fig.send_draw_message();\n}\n\nmpl.figure.prototype.handle_image_mode = function(fig, msg) {\n    fig.image_mode = msg['mode'];\n}\n\nmpl.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.\nmpl.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\nmpl.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 */\nfunction 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\nmpl.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\nmpl.figure.prototype._key_event_extra = function(event, name) {\n    // Handle any extra behaviour associated with a key event\n}\n\nmpl.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\nmpl.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\nmpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n    this.message.textContent = tooltip;\n};\nmpl.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\nmpl.extensions = [\"eps\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\"];\n\nmpl.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\nmpl.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\nmpl.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\nmpl.figure.prototype.close_ws = function(fig, msg){\n    fig.send_message('closing', msg);\n    // fig.ws.close()\n}\n\nmpl.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\nmpl.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\nmpl.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\nmpl.figure.prototype._root_extra_style = function(el){\n    var fig = this\n    el.on(\"remove\", function(){\n\tfig.close_ws(fig, {});\n    });\n}\n\nmpl.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\nmpl.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\nmpl.figure.prototype.handle_save = function(fig, msg) {\n    fig.ondownload(fig, null);\n}\n\n\nmpl.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.\nif (IPython.notebook.kernel != null) {\n    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n}\n",
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          "output_type": "display_data",
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            "text/plain": "<IPython.core.display.HTML object>",
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\" width=\"600\">"
          },
          "metadata": {}
        }
      ]
    },
    {
      "metadata": {},
      "cell_type": "markdown",
      "source": "## Momentum\n$$\nv = \\alpha v - \\eta g \\\\\nW = W+v\n$$"
    },
    {
      "metadata": {
        "ExecuteTime": {
          "end_time": "2018-06-06T12:56:28.286716Z",
          "start_time": "2018-06-06T12:56:28.280216Z"
        },
        "trusted": false
      },
      "cell_type": "code",
      "source": "def Momentum(x0,y0,learning_rate,epochs,partial_x,partial_y,*args):\n    momentum = float(args[0][0]) or 0.9\n    vx = 0\n    vy = 0\n    xs = [x0]\n    ys = [y0]\n    for i in range(epochs):\n        gx = partial_x(xs[-1], ys[-1])\n        gy = partial_y(xs[-1], ys[-1])\n        vx = momentum*vx-learning_rate*gx\n        vy = momentum*vy-learning_rate*gy\n        x_new = xs[-1] + vx\n        y_new = ys[-1] + vy\n        xs.append(x_new)\n        ys.append(y_new)\n    return xs, ys",
      "execution_count": 11,
      "outputs": []
    },
    {
      "metadata": {
        "ExecuteTime": {
          "end_time": "2018-06-06T12:56:30.029746Z",
          "start_time": "2018-06-06T12:56:29.986631Z"
        },
        "trusted": false
      },
      "cell_type": "code",
      "source": "def f(w0, w1):\n    return 0.8*(w0**2)+(w1**2)\n\ndef dfdw0(w0, w1):\n    return 1.6*w0\n\ndef dfdw1(w0, w1):\n    return 2*w1\n\ndraw_quiver_with_optim(Momentum,0.01,-0.24,0.2,20,0.3,25,dfdw0,dfdw1,0.9)",
      "execution_count": 12,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": "/* Put everything inside the global mpl namespace */\nwindow.mpl = {};\n\n\nmpl.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\nmpl.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\nmpl.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\nmpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n\n}\n\n\nmpl.figure.prototype._root_extra_style = function(canvas_div) {\n\n}\n\nmpl.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\nmpl.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\nmpl.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\nmpl.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\nmpl.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\nmpl.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\nmpl.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\nmpl.figure.prototype.handle_rubberband = function(fig, msg) {\n    var x0 = msg['x0'] / mpl.ratio;\n    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n    var x1 = msg['x1'] / mpl.ratio;\n    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n    x0 = Math.floor(x0) + 0.5;\n    y0 = Math.floor(y0) + 0.5;\n    x1 = Math.floor(x1) + 0.5;\n    y1 = Math.floor(y1) + 0.5;\n    var min_x = Math.min(x0, x1);\n    var min_y = Math.min(y0, y1);\n    var width = Math.abs(x1 - x0);\n    var height = Math.abs(y1 - y0);\n\n    fig.rubberband_context.clearRect(\n        0, 0, fig.canvas.width, fig.canvas.height);\n\n    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n}\n\nmpl.figure.prototype.handle_figure_label = function(fig, msg) {\n    // Updates the figure title.\n    fig.header.textContent = msg['label'];\n}\n\nmpl.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\nmpl.figure.prototype.handle_message = function(fig, msg) {\n    fig.message.textContent = msg['message'];\n}\n\nmpl.figure.prototype.handle_draw = function(fig, msg) {\n    // Request the server to send over a new figure.\n    fig.send_draw_message();\n}\n\nmpl.figure.prototype.handle_image_mode = function(fig, msg) {\n    fig.image_mode = msg['mode'];\n}\n\nmpl.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.\nmpl.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\nmpl.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 */\nfunction 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\nmpl.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\nmpl.figure.prototype._key_event_extra = function(event, name) {\n    // Handle any extra behaviour associated with a key event\n}\n\nmpl.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\nmpl.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\nmpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n    this.message.textContent = tooltip;\n};\nmpl.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\nmpl.extensions = [\"eps\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\"];\n\nmpl.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\nmpl.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\nmpl.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\nmpl.figure.prototype.close_ws = function(fig, msg){\n    fig.send_message('closing', msg);\n    // fig.ws.close()\n}\n\nmpl.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\nmpl.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\nmpl.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\nmpl.figure.prototype._root_extra_style = function(el){\n    var fig = this\n    el.on(\"remove\", function(){\n\tfig.close_ws(fig, {});\n    });\n}\n\nmpl.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\nmpl.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\nmpl.figure.prototype.handle_save = function(fig, msg) {\n    fig.ondownload(fig, null);\n}\n\n\nmpl.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.\nif (IPython.notebook.kernel != null) {\n    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n}\n",
            "text/plain": "<IPython.core.display.Javascript object>"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
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RIKHMHrIdETNODMrv9Hn+Sgwa4TbnHciKp/4xCfKEUccUbGNPg8Ftvzyy1ciPSRM+JrXvKZ6r4YQT+E9RNz7jj4PLNdZZ526zxwSUfEcMEFAozIqgoXQ8MA6gKPi8H/b295WLr744ugQxbqVO2j/MJyi4jmsO6VsoiI8CJMbb7wxbAB6HiTkjW9842xzX+c0R15OdQ0ZpNF1y9hiuA0lRiIGwoNHHnnknKY9y3/ntaKzhTt5GiPCOIEtnS0CERHv55//+Z9ruF8aw5Aw8Kx+fzrP0Mgzj+M78yXBAgwL3IKyuCj5j3zkI/dbNPKqJI5/6lOfqhi+/e1vr6Ts2muvraEIm8utQyGbvjLdi0NiOK8chahGV0Rskp122qkmmX/zm98Mu6xHESoUDmD1ek9D8nx41CRRI49RkQvD8yTEsfDCC4eGEQZDWuEqHBuVUYQJeSl5WIYc4MLKko2Hho7kyjEO7KeoeLdyns4+++zoENXrOoocLLrDIRU9qDyAoseexT6KShcKFuKLhnv8Nt0on3TIHhxFeFBYEKEXZo/mZgrdCnMyjIeE0rxblzyGeIzsQaFtxl80bWAUoUG5s4ge3SQHOUo6hQSt2x//+MeD8lVnt96n+wyN7rXp/N58S7CmE5SZjT2OxXHuueeWzTbbrCrmaNK7eco5EuoQjorKKEKFCK7wz5CEdweN8K+NHw1DyQvzXR4suETlX//1XwtiMiTZfRRhQnk5kvYp6CE3R3nRGB9DDl8eCcSedy8q1rvLFTyWURkVweIJcAEGcYyKkJwbkYy+qDjA3YzmPYoK43PVVVetnqfoTdpRhQfl80h/OProo6OPU0PIvJ1CsNF8J9/lERTtEGqPSJfY/u53v7u8+tWvjgxR98w222xTll566UFEzxphoJx//vnVYIqINAFpFIyCIZcy5vTb4zhD5zSHcf97EqyeiI9rcYwi6V0cXn7Ct771rQeUsuj5qPVjowgVjirhnaXI+8gTFRVK6LDDDquKNVoOYBTJ7qMKE/J27rPPPoNuho0i0V0yuDCWZOGoSBDWmUHoJiqjIlhC0cL0s2q71Wd+Chi7XGHdRmUUCe48NLwS9EFURhEeHEVyO08NQ4vROMS7yPPlHQ+5xDCKxPZRhAaF1eXpuT1OH0RkOpPaZ5zPuM7QCA7T9Z0kWD2RHefiEM6yeeQZRJPeWXq8CrwCrKSIjCJUOIqEdyFP+XPCc1Nrn7U8kzw3Fqt8CXk2URlFsvsowoTyNngmhoROR5HoLknY7SU5JFER6tTyyh6LyqgIFi+AcJbQWlTk5XzoQx8adAlhFAnuiAgPp+T0qIwiPDiK5HaeX95SyfrRumt0qtZoQ8q2jCKxfRShQXUPJdjDJJovKO2BPmVMTEdSexKsUpJg9dQ84yRYMya9m2JrbJ33SOKx/I0vfvGL1SUdcatPDRXKW4gkP05NeP/Tn/4UIo1CjW4ESsCETySPw6H3hS98oY7BiyUfr1W6ZHe3T80hktPVhQlZnshv5MDgnXSASlZXxiIyRpfozqsnhBQZ42c/+1kNSV9zzTX1lmYrHjwTQlkueCg9Yb225hzJzZGr5AKB6/dIUus8hH6tTYnGvKWISaun0zy6gsQMC7merWIMh6eQdjTB3f4QRhYKk9smR65VjOF9uFEWvT0IUx5beW3R5Hbfp7s23XTTssMOO1SvbasgEtaDMfyJ3BA1D/piSGK7WniKxg4JDdLrzgK3Ob2jyG1veJLpTmpPgpUEq/deHSfBMqmpSe82UiSfymEjp0ROCHIk36ZVulChEI4aNhFrqUt4p5yETiIFD3koeLG4wl0CMFarOISFB4zj5ili0CIUk4OT1WccRVVbawshFAjWjjvuWPEUdmy9PWQ98FBaE2pZqefWSo6QCTlpvFjyuSQftxJwB5dLFUK3CJLqz61jOLh4a3hrvRdJw63EBh7eJaLI8yRfrxUP+8P1djl/vGnyUloJuMPPLWYETU6LEF2rIWB9uAFt//NkuzXXOg8kzfrk4USO7NlWPOx7OXrWxYknnlgP9Nb3Akv73fr0fumiVkPRu9xzzz3rexFCjuQZIar2i7GMEynX4l3a79ZFNLFdTh48JaNHbw3KD0TShDjpDkZFq7j1y1AW4RA+HlKEueW3x32Gtsxtuj6bHqyeyM6NxSFER1HbUJR260YwZ4mYlLRbJhRdq5K8/PLLCw8U5cKVHKkgzttDSbqxJu8nUu9IwryDAlmT2BkhnAim7yJKCia23CLtlsk73vGO+xuEu+YtZNgqU7sEdO2JWseQFM4Sd2A5lFsPLr8n/EPZInrRauzeiTwf4QqJthFRdkKZFURLGDgiagBJDPe3G8MR8fs8g+YTLWsAByQcLtEyGt4Hr573EymQO9VbbZ1Yb61iPUiQJ75vnFaxP7puG/bNzDpjzGlM+5QxYn3Dgz5rFXte2Qy3/ZCcSA4XvSU/FglXHmhWHUBmNzf6U1FStykRJEWHW8Q+904UsBWWp89ayaLvMoYYFM6XIZc5Wubus3PjDG2d46g/nwSrJ6LjXhw2gAOUcrCxIqTC9yg1SonSZX213k5klVOOFD3vBMu6tbK6MeQMuQosDypS9ND8WfSuaMuhitRMMg+1vSQxwzbShqcLvaqlFlVQQgWUrVujsIjcZhJ+4a1hEfMCRQRZ9du8cKz7iPBaOSiQVbhGRG6MUFT0IPebvALerb951SLSEd8Z+5y2jCXsIgztvUbbuPDGwZW3JVoCgNfLYSy/rTXk6nnN33tlQCAFkX6InYEo6V9tsFbvpnnYp8gdr7dwZ2QM+kJRXbeA5RpFjBH7REI4YuOyTOsYognCzvQHYkQvtz4L/c1z77fpLnq51WDuyKbvIazGiLzblj3RfXbcZ2hkjqP+ThKsnojOrcXhEBaeQ7h4k1o3pcfjFXDoUHTRpGhhAs2xWfbRAqQ8aXpkOTwihw/lREnyphkjIsJJKqDzEkT7zSEm8ls8i76LEfEuhWBUQZcUHRHvVV6KnJ2oqCXHKznkFqA5IHuRELR5d6UAhCt5kSIipOWdIpzRkgTw7GobtR6g3ZyFcIR/7Jeo2Kc8JA7zqMjtQ/SieHoGV/Z541o9Ld2cheHteWs8ShTpPl4Xlylaw5zdPOgae976irxXuoYR4lmixYrdGtQPkv61XyLC88awY8hE3iv9KQwvPMgQiXjfI/NOgjUEtQn57twiWOCV6+Iwd8U4kntkDC5/G5zSbc3p6F4xRWljDq1czHqKehkoCc/BEmv1pE3d6F0l/+jyVU9HOEnyblQkzPNWCCtFRdJvNBTlN+ViydOJhG+6OcvjkB8zpI2KOSDPrSGPqbgheJEQ0tR14RB2DT8qLpQocqxzRFR4bMwhuk/97tB1IdyLXDGqoiIcR19F69f5XW2CeIyi64LnyLrg+Y4Yp+Yg/6rzfkexkGbBMI1W5bdPhb8ZuNE+sXLReBIZVa25gdHnnvq9uXmGjmL+kTHSg9UTtXlhcfBUtCZET308XjAbNZIo2o0j2XzJJZfsidrMPzZ0DMpOWGxIs2MJ70Nw8GQKDg6ZA89N1xg4CijyPVRZzgtjjGIOsIyWNenwHzqPod83j3lhjK6Bd8Tj02E5dH8YZ+g+NQdrIkquzGGovhrFGHBAuIeE84aeH1EdNdWAcXbAM0qYh85h3N9PgtUT8XmBYPWcan4sEUgEEoFEIBGYpxCYxDM0CVbPJTiJi6MnNPmxRCARSAQSgURgtghM4hmaBKvnppiOxaGQn1wJ19yHhN2+8Y1v1BIIQxruunGovpTr5ZEE9A5GybGuVkeK+U19FXJh1ltvvXq7LCryL+QbyOEYEiKQVC/UMKRnn/CsGzty6aIJv3DQukQunFICQ0ROyj/+4z/W9iNRUfbDux6SjO23v/SlL9XEdPOJiluV8rjkLkVuzXW/q5ithPkh1f6NJSFaMrMr8VGxl8xHHtIQkWwuYd2liqi42GEv2ddDwlRKaQjNK1UQFbpKDqU/kTpQ3e8q9OuWpdy/IWJfe9dD9pJEeueAfMohukptq8c97nG1/lhUhPDklppLtAvIzH57Os7Q6DOO63tJsHoiPR2Lw3V91dYpjCG3ZCQZO5wcVFpBRMWhrVgjpR5Vom5xSWp1Q8+zRUUSu4R85QNaryJ3v+nQXXPNNWt5iEjNq24ct3Zc4VdgcIjyk9BOme++++5RWIqaYp5FnaQhc1H/xk21SGXsbvLwQILlPkXfkbHcxFTjbUiC+qha5aiXhJgjJVGxn+X9OLwddlHRecANT+UOoiJfUXkAxGYIgVWnTP2naDkP8zcXeCBpyllEpSP1buK2VuzvftM7UrTYXorU1OvGkTSu4TO9GU0+Z3zpHbvuuuuG66+ZD0PQRRNrJtqbsLtl7aahZ4t07pjVe52OMzS6hsb1vSRYPZGersUheVFNJNalK7zRpFKEhtXBu+EqbkQclG4/8dQM8UApyKdOC6UT9dYgR4gaj48ipVFxKLDq3PqLkgBKx80wh642F1Fxq0rVcwQ2Kki525NuMEZvJPltBNYtMSQ2KnBBJBx08IkKrxOCxKsWlVERLDdUWe0KsEZFvSTE3oWSIQfUS1/60nrLdAgB0A7JTT6kcchcEABevSG3ZrV1gS98oiUXECN6gad9qF7gZaSjoh5PXj1eKzUCd9lll+hyqbqScUx3Ry9pqFtGd7vhrbRFRFy6UQrioosuqiRt6CWgGecwXWdo5FnH9Z0kWD2Rns7FoYTChhtuWD0bkYrJ3SNoicPDoVlt9GaZzaX6Mo9apFqxudioPGlCjSzfqCAjMLnsssvCrmokwGFHCUZLQ5g/7wpsEZuodFWUPc8QQuLgdchEKnR3c9eP0aGgh+AQUSNJODdaPsRvCz3xjEQrsBtjVATLVXjEdUjY03V49bS85yEivKh+0mabbRYehj7RL3IIkRa+soci3SSmTlxPRM/CSxgVZWIQEikRUZImNcPzKJOi9E1U6CZhcp6jqGFMp6h7puo9D1ZEpC/Q2bBlTEaFPmEcm0vUGze7357OMzT6zNP9vSRYPRGe7sUhnCDfiAXC5RwR3g0F6IRbuNGjm/7oo4+uFrxeV9GijZQyhaGCcmv1+O7ZEbWujo78hKhozSMPy0ETDX3yAOjvxiMQVYTmr+ChXndDDhltg5Aac4mK9cy76NAcokw9jwNClf2oOOgU5hxCXkdFsJAAVcOH1H9SLVxeJCMlKowuBMtzDfEkIIvIXlSnmD/jgtE25HkYbgpbIvTRvCmhNA20efS0romKXFW6ABGO6khV1Xn0eMajOasacuvPSBdE88DoSEYB/WROUS8lncI7qWq/osHTIdN9hk7HnIeOmQSrJ4LjWBwOGBaVnIsoKdHglavYgScJNCI2rR6IlA+CFFVCiJr8J+QxWi9Koq98Ah6OaBIp4kkxs3wjfcg6DLvcqUgvxW4MREJRTwo+iitPmIbA8t1a+1NOXQ+IolDw9ttvH1km9TsOK88xhADzVMJEAn9URkWwhOrNZYhnYxSYCBnxKCAmURnFOqEL7B2YRCuQmz9CJGdwiEdbCgVPtL0TJRJCgvTjEH3CY4SESF8YQoxGoWNd7GBsycPV+D0i3bkj54qBMV0yjjN0uuYeHTcJVk/kxrU4hAQoaDdcop6SUSS9u0nFutKvKqpEJLUKMzq0hlR/H4XFCVeHhMTsqHJGFN3GGmKFy3OTdCxENySHahSeCcnlCtfy7kVlFN4a+R7yRlSDj8qoCBYvpUsN8iKjMgqvnsNbjs+QZPtReDp5SRl7epBGK8uPwvsr1K/Rsj0cbdU1Ko+4quyI79lnnx2+aDKKKMEoktpHETnpu0/GdYb2nc84PpcEqyfK41wclAgviVg4T0VERpH0Por8ALkSWsFwx0dLLowiZ0J4Qd6SXmI8UVHvUZdHIkwRvcUn90nYR9J7NPGed4N377Of/Ww47Ck0Z50ge9HQ6dT+fdZpBFdeBeEjngGHYGSMoQSr+125i5KNI95SYxA35Yb0VbRW5dPwtmAFWscAACAASURBVEZDlcbYcccdq6clmtcpoVzYSFV3uTkRYWS5UDEkfxGuPF9uVVor0bXKU8qokBsXvXzD8FViwgUReVwR6fJc9RWM3uyU1M7IknMVTWrvcn9hotTEdMs4z9Dpfpa+4yfB6onUOBcHhUKxCpmw7ln2EW9Wl/RuIyMpkTGE1U466aR6w1HuhK7yreK2DsIol8PBEcnr0oNLMrR8EjeRItY0MuLGmlCHHLMIuXETyu0lJSjMqVW8W5av6+EUtaTdVnHgObDkCrlMEEkOtx70zeMdVDPHO24VrTfc0qSchRklUreSI14aDZLV3PE8DvLW5GXEzK0yawx5RlxbQ9J//vOf656zRtSDs+5ba9N5ty4gOMg9k3USaW3lqr0cLl5f/ztSi0heDqPG8/AiRy69OLh5SbxXY7S+W+sJBkJPCFLkBi6Sx5iRU8rTijS2Cq+xvXrUUUfV/R+pISdfyr6VL+X7kabPv/rVr2quFAMrelObx8l6sGejSe3GkDfmZijj156LvNvW9zDOM7R1btP1+SRYPZEd9+LgEpc8zMrgxZLA2Cpd0ruwGEIQCTewhCVlS+akXIQMW4ViYanJGeIxcZC2iINLXhqF7zCl6FpvOLKkkSrWPKX985//vIYcWsQ7cYB3pAg5aD2EkSOJ+9///verJW7MVuXmvQpVsqLlYMm1aRWYunl07rnnVo+LNRIRSppVr5xAtEbSpptuWgnjRhttVM4555zINOr6Yoz421gR8fuSuc3nrLPOigxRcWAYwSVajsP74GVxs9g6aV0fJm5dyMd0gHrHrWFx68N37BW48FS2kjT7oyOHwnpIVit5tk+f8IQnVGOIZz/iOaYvkBGkW+NmNeBaMfU9FwVcCLHOVl999eb1IX+MN49X0TqPeOJ4m0499dSqu6JJ7UK+dPGqq65aLy60ro3mB//bF8Z9hkbnOcrvJcHqiea4F4eD2GHOciO621OWLcLzxWpEjihHm6q1ySZFgJzxeFAMrJ9WoZB4OHg8eI8kereKXBBWmzEkZvMwtApC4vCk+FnlvA2t4vkRTvXL3LJUaLNVuhtVan11TXVbx7AekCyJrd5rRLxbYVtEy0EeEd5RhkD0vfpNhNUBzHPkUkREfE9pBX8bJyK+x5NmPtGSHnDgUYRLtJq29yE9wPtBbiKy8sorV2+JcGer3vB71iVCokZU9Oas/SH/Ujjc+orcTrNPeXuF9BBneaGtQl8wrHgTeeQiuY/de+V9dwEBgW4RhNXzC+ubB09467t1BiF43o2xEK3WG4z0RleE1DPx+rYS55bnnvrZcZ+h0XmO8ntJsHqiOTcWh2RqtwFtJF4fVlSrqNMil4NFrpCj8FqrKLkg5EBZIweRUKOcAWSPt4VlHbGa5F8oQyGXKuLR89yseRac3BJhnIgI33gWoaBotXreROETFdklvUeENY8MKLUQFaEKXjRhnIg4OBx6CDQPQ0S6xH9haCGxiPDAue3m72j1dCFTt928k2jBR+FS3lZkvtVL0j23NYXYqL4eFV5vHhcek4jAwGFunfKaRMSasi54SaKtcd7+9rfXPCM33eTpRcR+R2zoDLqjVXiMpUcgrXRxpJAzvWmfMIqQxlZiZM70twtHvHEuMETaMDlHhI2tMRdUXOoYl8yNM3Rczzar30mC1fMNzK3F4QCTH8O6VqMksqmEx+Qf8IZFQw4OYXkHrJ1olWueI0RNqDGa3CncSGm7KRkhaV630A1l1XkHey6BB3wMng5QOWER8V61C5Gs3hqq7H5PpXCKckj9KFXY5chF8sm6eXTEP+r1MY68FlgMqckFC56BqAjH83YMwQLhdfmhNQw+dc6wcItQEdeoIBXIQLRKudAcLNyojBLFoXvEs/NeMTJbPUYdbsgRjw1jKJI/ahyes651VzQ5Xu4XQ4KHtTVMag5dSJ/OoHMiF2wY7G7H8tKq4RV9r9E1ObfO0Oh8R/G9JFg9UZzbi8MtKeQi4u7vHlH9GLkZkcTbbgweoKglaQwKjzUZcfV3cxASk78QrftiHGHTSMiimwOFB8/IbbNuDGtKTtkQUuGWZtRj080DyRpymHun3knEKu/mYG1HD8BuDF7SiHdhqgoYOg9hed6jSH7NqN6HcYauC+9TaG9IkVP7fMj+GMU+5S2XR8b7FBWhTp6vIe90qN5UNsezyEeLitxAe6w1bzT6ezN+b26foaN6jpZxkmD1RGsSF0dPaPJjiUAikAgkAonAbBGYxDM0CVbPTTGJi6MnNPmxRCARSAQSgUQgCdYMCCTB6rkpkmD1BCo/lggkAolAIpAIzIDAJJ6hSbB6boPpWhxuPUWTnLupu+6vEJ66JkNE/ogk+kgCZfe7cpPcaosk40+dO7zNo7Vg5IzPr8XHkH59xpPDIQduSO6acbq6WUOTS5WIGJIbYy7qm7n8EEm4nYqxAp0LL7zwkGVXE3hhPCTHZdAEpnwZLmouDX1Ho8DFxRJ7YCguo1gv3lFXLX8I1sqsyAGKFPmd+ruj2Ndw8VytpWtmfH43teneIWvGXjTOkDxG86J7l1tuufDlhu7ZRnEuzYjTdJ2hQ9bjdH83CVZPhKdjcUhclFysQnn0KrTp62ul2a4bgtFO9Ta4mjVqo0SKiXYwqnnlhorE0GibH2OZh2dxEykqSkLAV+2XIYngyjm4dh+pdt7NHYFAOl29V0crKr5vvSiZMUTcylKyw62kqMBVrSeH3RBR2Vpyuiv5URnaKqf7Xe9aoruSEUPEBQyV1IdcSnGDz41Ge2qIaG6s8Xuk7lv3u24wu9HnJtoQckQ3KMY65F1L4DeGyxnREieey208OjhSl6/Dxc1TF3ZOPvnkQf0rFSFVP42eiRq46p6praUEjZuXUVGaw3qBb6Trxqx+dzrO0Ogzjut7SbB6Ij1di4Py1BxWy5HoNXfkiPJjvegrF63h45aJa7zqtJhTVBSNpHjUnYkqC0oU4fM8Ci9GRa0pt28owKjAtSNqQ25FaV3Ei6WafVR4Kh0qSMCQGjZayyjzYN1FpSM1FDurOSr77LNP9aYxEqIyKoKldRCPkb53UYEHgmVOQ7wj1q6yKK7VRwUhQl7VtRryjuxpVdnVpIqKOnZKJrjtOcT42m677eoeGLJ2GaNq6g3pKchoMgbDSTP5qKgTRn8jsXReRJSAUB+LTlB+Jqp3lRlRa0uh3CENz2f2DNN1hkbwGtd3kmD1RHo6FwciQmnYpAo/RkSYUO0bXh8FE6NWpiJ0rB/Vm6PNTGHFcndAqOcTFfW21FhC/KKhLN4V5EhNoGjtLfNXmwghifQO7J5faQhVpJHPIeFGitR6QdiignDyIjj0hoiDkkIfoozVGDIPHpuojIpg8egppKuIa1QYTcYZUgDWbyPzsPGuo4IQKfjJUImKsJ73zGs6pLQJAxJhHFJnTE0qrW60EoqG/oVv6SekUX2qqOiNqP0P/RQN2XsOOkFz8Kg3GdFToJc3zlkSrX3GO64otUK5zpJRy3SeoaOe66jGS4LVE8npXhwKJAqL8R5pPRIRG0z4iVWlUWw0J4BHQXhDu46o4kDQ9AtU1DPSmsLzq68kvEF5DOn2zv2uvYUDImrZcZerhaP21ZB6Td4Pa3UIOVKBGYmO9tyDLS9L169uiGeDIlY8NtJAt1vjDinKXb+7qIyKYNk73o82VVFBILyfaLeBUb4fRoX3MyRkhKTRS9E+kZ6H1wphVBsrWquMl5MuoQ+GpDHoOMDAoA+ixYo7/WYPqs4eETlg+k2qch/1mMoh23vvvWuxYV65qOHGALXuhSkjTbn7PP90n6F95jDuzyTB6on4OBYHJSYfZYgFceWVV9ZNqy9bpOM7OCT6Pu95z6v9vxwUUaLGA6VTu1ydKFGjBB0SGglHi+zxPLlIgGhpGB0V1bk9x5DQBC+lHCrerCiuPCOrrbZaLe45pNjqKDwklLuQ2kc+8pEorPWwk/tknURlVASLZ0PfuiFeIzkwyAAjJyqj8DDy3vI8dcVPI3NxgDMseHp4fKLCm62HXqTdV/ebQuu8rhKwF1100dBUEDxGGy+jvyOCGFknSHjUA2Z9iFY4V/RHjF5k0IUBOdOkPNKA2vN3ERTtd4bk6c0Jy3GcoXOaw7j/PQlWT8THtTgoEdamfnca8UZEGxlNjTXyZJVERK4PBcQzEbUWua55ONyMsXmjwqPGYqQUox4oil3Yh3KO5qh1IT7erGgOiVwJldvlXQxJdkeiKfghnpZR5PgIbQhBOSSiIvdkxx13rLeoojIqguU2GCt+yLthnCBoe+21V/Rxyihy5HgGGTgO36h4N1oQIfNRUiMkzmvFSIr0AjR3+8ZFFWG5aBsipEYo296JeozMRY9HaxUxiaZiMPa8H7o66kEWmnc5iheta+Dc+p6/+93v1osqWocNMT77/O64ztA+cxnXZ5Jg9UR6nIuDh8QtDm5flhJS0UosHOBCA4iaGzeRcgc8Cm6b8awhWxFvCW+LWzbCWhRbxMrqusfL53Lwrbfeej3f2t8/Rrlq8ePg4xGLkld9ED3D5ptvHg7ldsnuLhIIC0fEQXP22WfXd7zrrrs2D4H8uj0lgRrR8qdVJOw7gBEJ/SUjjcTl9yDOcHB7yeHZemhpNyQptwtxCLHL9WkReCDhcECwHMSRcIu96/B0YFljkd51Qoz+6D8Kl1Y8PDdi5Tms02gepAOcHoFDNLnd9+kxXjRh+ohYY0gEz76WM6260G9qtmwcHh+GUuv6MIboALLKa2u8iJHlwg2vvLWK3LTeMuVRtN7pZvpDaL31QhJd6I8xhMR51CP7v/VdjvMMbZ3bdH0+CVZPZMe9OIRchE0oRzk/DtJW6a7bskBtoIhVLvHYdWaJv5R2pGedcIfkSZ4bSi5y9VdOGPe1W1nyOVprL6kp5MBBAhx6iF9riA4ZYPlS0m7r8GS1ittcvBPmAlOKulXcDOPxkXOB+EZKNrDAEc0upBzxcgiV8EzI50Je5ey1CmLDw8nLwRDg5YjIWmutVb2T/pYnFxG/L2GZF+uqq64KERs48LYyRqzTiGHDEEEkEHnkM1LfzrqApWv7iHTkxqn1iYwgA/RRpJ+f9WGt0WM80a2kFaHw/Mg80kkPtl54kdROh1qvUh623HLL5uUhvxVh5skT5o+EkCW077bbbnXPR5Pa6U+eL17jaHkfuse+9325rULa45Bxn6HjeKY5/UYSrDkh9Ld/H/fioFi4ot1ac2hQdK2WrE2ElFC0bt6wAFuFZ4CHRD6HvC6bskU8R7eRkRykr7Xml5wwc+hu8LGIWeYtImHeLSbeOOLwa01W9ywImmdgRfOsRW7sOGyQNIdwtIYUxYiA8w66ah4R3zeOAweBjcihhx5ac5YQPjdQI9I9C0+Ygyci1ubhhx8eWqPd7/l9HijzkQgdETjw/MDloIMOigxR34fwk/cTrRdlXTjIhzyL9Yk8W688pq3iZrNwvH0j1QC2rUaNfdoZdYgeHdCamE5f8NQQeWSf+MQnmnOe7HlGKsPO2oBJ67N0a9TlEsZqq+fJ/OlxF6KEBJFFuZgtQpe6CcoYgYXUjdbnaPm9qZ8d9xkanecov5cEqyea414cXMlCBF1SqNys1hg5q0uokUIhLHtkrUW4oyXLsx7lCvD8tHqPKFpeGwpWbthZZ53VMoX6WQRJfRZ5ZXBxmLbKVKIG10guB48LK1q44+KLLw5dWzcPeQ9wQDpbibPn9j31wVjnyHdEJP9LdOftEGqIyC233FI9UMKe7373uyNDVG8Rsqu4J6MiIm6rdrdWhbUj4rBB5NUYaz24ut8TKhUOFxKLhAeNI/mZUSQhO5r3JNcJ+edVbCUk5mCd+54cSmkGkTVqfwjnKy7KsImMYZ/Se8gAUhIZg74QCmfYKcocwYPeEqZkYKnX1qoD7VMhRTrZGAysVu8m/d3V4ZN7ifS2egSdI90eY3DyyEdSPyL7a9xnaGSOo/5OEqyeiM6txSHcwLWuKrkNFlEOYv2sL+ECBCUilKzDh6JipUekK2KniGgk3MASppiMQ3lHRO5BZ4k6CCOCMCJICF/01g1FywrtwkmReagdpXaOqvlRUZ2el7Ij4ZFxXILgZYjkgnW/x8Ogan+rAdB9H2l1y9Qeid7I8l2FRoeUi4AjgiYPKypwdFUeMYkKD5bQYLQwLs+qUKUk7EhI37yRKrlodEfE02sMF34YV4yzSO6VMXhskAqGYsRbIyzoFrJniRaD5t31+9YH3RER4UWEGRaRunNwtL+katDj0fI5kbn7ztw6Q6PzHcX3kmD1RHFuLg7EwkFI0bGkIsLj4QCzSaOWNVIgfo9YRIW3Rb6Nm1ZR4RqXPzSkLRBLTl5YVNxaQ1yH1IzpChRG8tq6eX/5y18O5YN037e2JCIPeQ5hJF6oIQpbiBLJih6insdNRjWFooJ8C80NWZvy4Xi/omvT3NUkkqgfIQOjWhfyC7tyBFE8PQdv4pBq9ryKyFEUC5EA+1TtrKhYm/LAojcg/a7QtxBnlKzKQUPOJNi35qB1z81jLo8UFlE8oxgmwRqC3AR8d24SrAmANx8xEUgEEoFE4P8wApN4hqYHq+eCnsTF0ROa/FgikAgkAolAIjBbBCbxDE2C1XNTTOLi6AlNfiwRSAQSgUQgEUiCNQMCSbB6bookWD2Byo8lAolAIpAIJAIzIDCJZ2gSrJ7bYBIXR09o8mOJQCKQCCQCiUB6sNKDFdsF00Gw3NJRm0XpgUc+8pGxiZVSr5W7KaO4YfR2iNtkahkpCKiCc1RUK1b+QOXnITfCXIlWyXrIrTA1mhTBhG9r3Zqpz+9mmQrsQ5rdqiukaKSaPNHeY+akPIXq3q6vDxF1zdTRirQd6n7XbVB1itRaGyJuQrrZqo5VVJTOeP/731+b70ZLAvhttY7c2IpU6p46dzWKXOmPtFPpxlEoVIX9oW1M7Ee3bofsazdFXe1X6yxSi6p7Jrd3lWjpCn9G3reaUop2Kvi59NJLR4ao33HrVDHmIT0j3TxV40+3izXXXDM8F/taMVMNwofocIVllXCIVKvvJq/yPnxVjNfcflQyHWfoqOY2XeOkB6snstOxOBy6is4hSKoNRzeoqrwUKHKEZEXl4IMPrnWyKPUo4XMNWOFKJRBs9qi4kqxoI8UTvfKu7ou5qFUVrYht/ur4OCzVN1pyySWjj1SrzyuzMWQuXX9IdYoi/dS6yatlpnlutGK5cRTT1ApFMdohpEbZD4o8Ui28e55RNXtWoVuFfgUpo6KAqyKSDu9Ii5rud+0f5RKiFfKN41lUDo/0vZv6/KrKK+ZKT0UFcVVQ1vMMMZzMRdkaJTEidQHNX/kGxsV73/veQfXb7B+tc9QLay36OZXQMHYY2wzCqOgcQH8zEtTtiogahcivUiWM3CFkesbfn44zNPKM4/xOEqyeaE/X4uA5Yi3wBCBaUY+Cqs88AOqkRFt0mItNrpidnlfRelkKX+p7qNChPogRMRcVrZEkLX6iVp1n2WyzzWrbkGi9KXNBjPQii1Yrh4F6U+qQISZRj5q5KB7p8I0WfDUXBFZl7HPOOSfyeup3zMUaodBbm9ZO/VHEHiYquUdlVASLYcBzOuSgQ4KtOR7U6LqFg8LAKnYPKeCKzFizitJG58I7qFq/9xNp79K9UwaT/pnqMUXnwkOuiKpG5/o+RsS61XLGHtTBIDoX/QB1g7CHonrbGuFxQrB4sKJzQTrVObQXo8Vl6W2eL5567c2ic5nVO5muMzSyBsb1nSRYPZGezsVhw7OktH9RVdtmiwgSQbEjbNGwjYrYL3zhC6vly4Ue9Uzoxya0oVJ51JpS2JTiQhh5+qIiBKCnmYKBUaWBqGkbwqOw0korhaYinED5CWMNKXLqwDQfhRyj0nmfeByHFIJEOpHyaIsb82cp669m7UdlVARLlW3rf8h6UxwTgeU1iornUZSS13SIF0zBUkQNuYkKYuXARdKiYX8hdgbOmWeeWSvER4SeRAB4+qM9K7v1ptI+fRn1Ov385z+vBE8YTeusiCCuPEW8t8Lk0Q4EQuPODqQzGgZGfK0VZ8eBBx4Y1pOzw2E6z9AI/uP4ThKsniiPY3HIlbC4Tz755HqYR0R1cKEopERuQESQKx4bljwvVFSpCrc4OM8999zwIU4hO/CEA7RCiYjQhBYRcki0lonK9ttvX9tMDAkfyX1yOGjQHCV7Dl3Po4XHkHwuIUKKmTUfFeE9/fL0NIuKvo4OPP33ojIqgrX++uvXveNdR0VrK3lCQ9YJr639I/wfFXlTcsCMYS9HBKnhMZJjJAUhKtaJdl/edVQ+85nP1HYzWhpFveu+K22AXmKMRsRZgFzZN9GwNmNrhx12qJ5bHr1ouL/LizPGk5/85Mjj1O4F2jIhakNzO5NgPRCBJFg9l+Q4CJapSALlcREyjCp5ZEQcnaeDYoyIHAWWLyViE1O0rYRAjhmPwGKLLXa/Yo2QNVaV3A9eGxIJryGKb3zjGwvL0xwiuVTCsA5g7X5YnXJbWuWOO+6o+W36tMlfijYV9m7khSHTUQ+hQ4/V7ODUry0ivE8MAg1wI6EJLZx4OR02cnzk6LSuMzlPvJ1wlaDL89PaJNn6Rly1dvFutP2JtCSxRvQz1I4k6gWzvhBxh3CUpCFV9owQYTQMrP0Rj613A9dWTK0nuYIu81hfjL+IkYQ8w4JRccQRR9T5tArCS3jP6EYeuVYxB0Iv8z7xuLbmKFlnhPErZcC7iTZbFhJkDHjPSGNE7F16RH9DTbWnU8Z1hk7nM7SOnQSrJ2LjXBzcxWL7Di8HsJBhazKnRHXuZzfohIAopdaDi3J1kAtpEZZ5qzj4HFY2L6UUsfgoR4qREhGypFhahWKTWEshyieBbUTkw8hVMBeHYKsIyQnXSJyn6IUYWoUVzuMjhCsnBilvFYcd5SxnwzqRNNwqyMQuu+xSvXGICUu4VRB5+XpCuMirZOFWEdZGMhEkBE2ibuvB5zc134YL4hs9+Hieu4RyOW4R0smbIB9TTiUjKeKZsN+sMWveeosQG/lfDm9GkvUWCach796pHL1oQ3FE9ZprrqkkyzO16jHvlqFJj/CS0o0RI41Hkf5h/EaT2jtjlR40D2utRegx6RdIpzQQaQ+tIVd5rX7bJQxGFs/g0FuzfZ5hnGdon/mM4zNJsHqiPO7FQbGxlFxDRmx4X1pFojrlaFOyZCOhIOE9h6dNKXm3VdnzYh1//PH1IOYtYQm35jBRJkgeK4vnyKHcmhumpADSykvC08E136qoeQWQEd91YMCjVXxXeIFlL0QhBNoqbu0hIxJ+KUZWaKt4L8gz75GwKSUbEQc4JS8HS+5RROSwSDa2RpCSiCAUDj5/Rwin3/T7nsF8NDWPCBz8PlyQgYh4Hzyu1oncmIjX17oQZhQGRircamwV61Nej/1KD0RywewTBJxRY520elvpLr977bXX1pvS1mlr6QuGHS8RTxqyJhTW6sGWQ0Zv2Ddy0qyzVhKPvCPxjGWlViJJ+t4pPUZ3WV9yIFtFCR1/JNgz5nnBxyHjPkPH8Uxz+o0kWHNC6G//Pu7F4TBnyfISUAYO09ZyBVzQPFcOZC56npcWZU25ydF561vfWngJ3FqjoHjFKG1Kx+E+O+uH1cmtL7eMBckSNl6rUKysYSE2SkFeVqtQSEo2yDETKmxV9n4PaXV4Cm1ZE61EzxhCuA4L9YB4biJCWbNc3UCKXp03RldSI+pdcPCaB29YtESI+fPmyU2L1iQS1nv5y19ew3vecUT8vhwU84keOnDgdYLLBhtsEJlGvTXo6r891mrQdD9o/taqeUTH4A2UN4UMREJQiA2DiLeItzVCBuxT3jc5Skg4g7FV6AvGqlQFHuNIHia9pbyKZ0HQ1Axs0aXmTH/yPjE03/e+99WaeC1GHnLnXQohI8zGkpjeIoxTpJvRyrsqJy6iB1t+s/vsuM/QyBxH/Z0kWD0RnRuLgxvXoUU5IReRkBTrUWIoTwmSElEuNrSDjzWtzkoXzpFnMieC1cHrBhKrj9Xk+63KyThqYiGdQo7R2kAOLUpJ2ERJi4g4cCh64TVziQjckF+EsdUS7n5PqJTXxiEaFZ5RZHHIrSxhSu9FSCkiSDilz2sTxdOBwbMh8T96K5I3j3eAcRNZn57dAe5AZ9xExV5D3HkZooLcuW4fzcFkUCE1PHnR8BE8ecEYNgyBiCi86YY1PHl/IoLY2PfIRCTXELERypPbxxsfCfsKX7v9yGvME//EJz6x+VHob/lSwtCM3Ahxdo5Yo4xEpUhaw4vNk57yhblxhg6Z7yi+mwSrJ4pzc3E4QFnFap1ENhVPFJKmzgoLvzWfC0QOQeETuRDqFhHWV1+C5fMOcoSR9yZaydlB6tBANlmkEZF7IAcrkuja/Z5QIyyGJIbKx0BShU8i4r0iig6gqFjXFC5rOio8cojzkOrRyIR8kEhuTDdv71OeTFR4WK2LSDi++01hMAdxxOPTjeFGpoNwSBVtXmJelxYPyVTcJLjb29GbyMYSKrW27feouODCqxi9DMKA4XVnjLSGBbs5d50yeCcjFx+Mg8x4BiHkCHmXosEz61mkKUTeK4+1+nk8cZHwZPQddt+bm2fo0LlHv58Eqydy88LiMIeode4xWaU2auQ2UAeT8BrLloubEmdpOwhYZhI3+7ibKb0oOTIPxMJhGAnPdc/h5tkQHIwjBDJkDp4D6RxCKuAw5PueYxRjeI7o4dOR7yHfn1fGGIrDqN7H0Hfq+95H5CDv9tjQ/WGcofvUHOyPIc8xVF95jk5v9jxuHvQxOHgfUW+3AYeeH9G5J8EaitwEfH9eIFjzEsxdcrP8KhZq19ZGzli0psu89Hw5l0QgEUgEEoHRITCJZ+h868GSMyIOLdFaPFsdnlnF+YVAuKvlEhGxfGGVliTUSVwcsLrn3vvKj668udx4+51lhcUXKRusvkx5yIILVBynhggVNXRTR+jMrcOUGWs3UAAAIABJREFURCARSAQSgUQgPVjz2RqQeCn3BclSQ0c+juRr3pOZXSWWuOpzwlhCOnI1JDxKvO575XcSCdZpl9xQDjnl0nLDbXfev0JWXnKR8s5t1y5brbPyAwiWmlmSOCWiRxJJ57MlmNNNBBKBRCARaEBgEs/Q+dKDJUFPHaCpxSJd5XXbRW7QnMStEPWltKZx06aPTNriQK72OuH88te6w3+Xv/quSvnYTuuX56+7Sk2EVTLBH4nOQ/qv9XkP+ZlEIBFIBBKB+Q+BSTtDvaH5jmBJIpUgrSbK1FYy2lMoSSBENSdRcE44yxjbbLPNnD5e/32SFoew4LMOO+sBnqsOpHvv+lO5+5YbyhKLLlR+8bF/rW10tLBRwsH1crVZ3EAiQrdurURq1/R6KfmhRCARSAQSgfkCgUk6Q7sXMt8RLHVuhPW0shDy60ROleJ8fZqjuvbrOrWcrFndAnOLputf1REslXyVCRhyk2/GneDqrNILQ265uGGiUrlu9UNEMVPFBX901a1lx2P+2vdvRrnzmovKb098cKFQdZB23nnnegVZGQhXkr0PeXKesbXui5YybsxEr1Z381YBetVVVx0CS63erOVPtGdY9+M33XRTvcI/5F0bS/PqaLPbbi5uk3quIbcgjTWKm2JuU5qLAoxzW9y0te6GvqNR4GIMc4mUVZmK4yjWi3dkDwxpLm5OCl3aA0NuwxlHRwj6eIjQ5dZdpAXQ1N+lN+neIWvGPLpaWUOeSaqG83HIDWnvmrNCFf5RShKsUaI5TWN1BIvHRI++TtR8UQRO5d/ZifwrlXgViVxvvfVm+VG1ng455JAH/fsoCRZPmgKLwmvqtEQVqWKTavdoPtqSuD/14WwqlZYRo5fs+/7ypi9cNFscff6Wb/1HueOXPyj/+bmvlt1esHH9vPYxktxVw1bEjvJCsnbbbbemFaEOkAsMWkNE6sb4MSTN85xyyimDavGo0aRXn/BnVImqIyZHzViRlkUdeKeeemotHKsfYXQuxlKHTOXzaHFQY8i3c4PUwTtkLubgsFQrKCr2JdKJTAwh5fY9Ui6nMyreNRJhvQzJR3Q5h5ddHaao2KeaJKut1ddbP7Pfsg/VStPnMbof4UI3qP02pL6WKIU9pJ5dlByZizGQkUgB5w4jxaDtJcWHpa1EBLmSqsLzr/p+dC+pl6iIsgtfCpJGhOGlzuBXv/rV+q6H1GKb8feTYEXeyJi/MyREqO2Lgp19uo+Py4OlN922225b2+BQplGF4eAWjvviF79YC9FFRFsMlZcfs+HzyiUrbDHbIX7/zX8vf7z022XFF729rLLaGuWrr3tWvV3ocHM4OSyVblAriwertfqxfC5VvV1QmBnR7ft8KkE7XC666KLwwavVkEOKl7Rvzt7M5iecigyrKh1Vorwaq6zy19y3IQUcPQuF7OCMij1CAbtcMsR7qo2S963CdVRGRbD23HPPSo6GFG/l0UCsGFBDanshAIxI+ESFIYnQ8HBHvZVIGvJg7Q8hRjzailwyDiK9EWHgPTOMGRnRTgzGoSt1g1AkVz5uRDwHoxQpj86lI1d05FlnndXcp7Wbt0LSCpEqRh0tlMtQMoa/EaxoAeRZYZkEK7LK5sJ3JLkrtTC1vYcDnCdoVknuvCjIVaT7uEeczsVBEbM4HFS8LQ7ziHT9+lRsR0wigmRtutnm5Z6t31n+stDDHpTk3o159WEzz11TqV3BUcX5CKUarXYuhOuA4ZmMtutgqarZpWFttAmw51ABnxIVgo6G52Cy+uqr18rpQ7xYDjmhlmiDZs/D+2QfUaZDwgkqljvstP2JCu/tGWecUZV6VEZFsBg7DJRoixnzl4fImDvvvPOij1MLbCJ62s0M8YJpjWXtI/dRQcIRTyGsaIFgnkXe+qOPPjrcK9L86RJrX/udqCeNcYIs8j5FsUVYpajQs1EyPipy1en9aJ9FuIr88HDCgxEYJcCzW2PTeYZG1/Z0f2++y8ECSFemgcXrAEYoLC5lF7Bum4frtyNbwoLaHLBYlGvoxCLqu5Cme3EgArw9nslhHm07MgpLBsl6ziteX+562qsUu+q1Bl/1zEeX56+zcnnyIx5errv219UjoWktK4/bO9rzildPeJG3xU3RiAgrr7vuuvXW6cte9rLIELV6vFCAXDLFVf3/iBdqqhcrmncEU/kRlLz1G6nkbv7IHiNl0003DZMsB6+cRJZz1EPC6yps77JEJA/Ls9ifXYjQfCLvRv4V0mkf8vpEhIeRl4bXM+qRQ654M5A8pCbyLLyLDDf5h/JpIkZbl482xHvV7RPNka1b4c7I83R6XzslxgEvbkTMwTs+9thjy0te8pLIEDUMLdTJyDdO5HlGRa5GEbngdJAu4JKSVJsocZ0TmNN9hs7p9+fGv8+XBAtQDgbESZ4O1m2hdQUuN9lkk5p7o3ce8b+F4mYUYayur96cwB/X4uBlsdAdOBQsZdtqNXaxeLktSGYkObUjWfeu/7Jy90MWnRM89//71DpZ4vkrr7xyDZMgv3JbEJ1WESJRt4zl6eCIJF86xOV1sc6EBKbm7/WdD+XssOGh4zHVdLVVOi8WV7wQn78jYq0jFG5oWi+t4uBmdEiK5eGLhGEd3Mim/BMGwdSyKX3nI8/Db2vmawzGRasgM4wq68PNYh7PSDcB74InTR4L3cDj0ip6xRnD+3GzOdI7lE6STylnD3F18aRV6EfGFs9en5vVMxufceO79k7UewUL++aAAw6oqQIRosfThNTwxkk/iJBfuaEMAOvD9yNeJ8QOYeVNZ9ho6t2aN6vRvfPIeo2GBbvLMm95y1vKJz7xiVDuLT3Ec817TL8yBqKRhr5rc1xnaN/5jONz8y3BGgc4U39jnItDAj9F4A9yxEpqTTbk8nVgyamSE0JRtnoHkKxNNtui3PX8d5Z7F1q0lzdrap0sxUiRXeRKbhZiRGmTrpehQ0hS5uyEtcd9DRceKN7KVqGg4YkMsKYR8lbhYUFmEAtKKaKkhVvkSEhoRXCEVFsFhm5sUpK8JQ7hVrnwwgtrQ2JeCocfQt8qDm+Hv8sEwqfy3VqFhwNZtV4p+GgY11p3mPubRR4Rv4+A85RasxHPBBzU1xPec5hGEu4dnEi8w1uYcXaXcWb1nNYFbwTjjKEZIfLWp7QKhMAelYLRKvaJtYVoIuART7b9ggggrUh0JETP2LRvhPVcFIncYuTxsvfdpDzzzDObSby1zlvstzkGIjlX9isckP+zzz67rvVW0uosE13wHPBEFCMGZ+taGOcZ2jq36fp8EqyeyI57cfC4UQbCW6ziiHfALSYEy6bkaUAsWoQHioL94OfOKMtv99Y5Hji3fPu4suhjnloWWmL5suxD7ylbP+zK8oHDDqteHweFA4s1C0tESSiHwpkTwXJQyYvxN8+E0FjrwSV3CsHy+6xQ+La6wpE0hwySJsyAcLUKsihfiVeAJUzBRaQ7yPfYY48aIo9Id1M2SrD8pgsEcrAc5kJrEXF4dqQ3mqDbjeHvaP4U0r3PPvvUwzw6BhyQG7gYKyIdwfJ+ojcrrQvenijxNW/rk0GAnJ144okhUmKfyCNDCuTYte5bqRO6c9jziDhPdp+G8lNxZwgIKTJIXMZASlq9ggwAv48k8fhKN2lNjpc3tvXWW9epSbK3Tlo9YPS4PcJYRtBm1R5uduvOeeLmJEwYraNOZp/Vb4/7DI3svVF/JwlWT0THvTjkLanX5fYbYTEhSy0iRIAgqRmGzCAZEl5bhBubwv/uVbeXFbd6bblv0aVm+fWbvn5EufPqC8s9f7y5LLjww8r6T35See/Bb6+hDp4qCpaXADERwjA3lu2cCJYf1OuQYqBgJcrKxWgVOSm77LJLLbkg7BCxpoVshSpcRpBn1upZNGc3YRE14TnexYggv5tvvnm9dcoCjYh5uKkpzBjxYPlNeLCmhflYxRHpDkBhsejNSB5BOWX+jh4YbtwJDzJqWolA99xCNoiR9xrNSbPfHMZuuEVvIXadFeiN1kO8exZkxLu1viLzoDOtTxcHELQIHvYpQ5P3KOLJ9yz0BcIsNCgUFqnlZW1/8pOfrJdTkBxevRZBFHnw6XPGIg9+a6oDrxdvFVzlEiNoyF6LWA9dagPPKGzchByHjPsMHcczzek3kmDNCaG//fvcWBysJV4oFrWQjjyCvkn5Ux+Lx4VlveKKK4ZDMEpbHPCWA8sLd9+33L3yOuXTP3hwTtuMUB6xw5PLC5/8iPv/M4LltiTvFeta+LAvwTIIPOTXOMQchpEQjjHcKJXHIIcvIjyCyJ7iqp1F2joOa9p35R5F8oX83m9/+9t6cHRh19Y5+Lw1hbQiu1HxPljDQyr2S5b3PqLExtzd6Bpys5KHErmJJqebA5IotB4lm8ZwcFpb0bpKxuB1Eqq05yPyxz/+sYblrc/WHNDu93wXOeN9b01P6MbYb7/9aoFfXtLofkfaefTonsgYipoiJW6GIosREXpmSAr9MowiwjhlaPIUd/nGLePIVUTq6FyeTd6vCB4tvzn1s3PjDI3OdVTfS4LVE8m5vThscnNorYg+9fHUX+Jej5A047DChPruWXaNWVZ6n/p7J+6xYXnmGsve/59cX5dzxJp90pOe1EywuoGuueaamocxpKI+l39r7sLUZ0PUJP6uscYaPVfQgz/Gc4OsydeJCixm1uC8Zbyh1e49g1zB6GFurrxG0Zth3bPOC2MgVzwkUULhWYa+D2MMXRfeJ8/XkD0mpC8UN+QQH7pP7TF/huwRc/D9KNH0Plw84i1uTUvo1jbvuwshbi5GRV6h9zm0An709+f2GRqd95DvJcHqid4kLo5ZQdP1KvzNbXfOsk7WCosvXL53wGblx1ffUm68/c5y3+2/L3u+5Ln1mjZyRVo9WD1fVX4sEUgEEoFEYB5DYBLP0CRYPRfhJC6O2UFz2iU3lL1OOL9+5L6ZfPDhD12oLLrwQ8rvbv9z/VctdX538nvKgvq8/e3zEr5Zt6w65RciN3t6vr78WCKQCCQCicBcRGASz9AkWD0X3CQujjlBg2Qdcsql5Ybb7rz/oysusXC58y/3lNv+dPcDvn7vn+8o9/zvjfW/HbTN2uVZay5fE86F6dxii1ZUntMc898TgUQgEUgE5j4Ck3iGJsHque4mcXH0gUa48EdX3lzDgCssvkh56qOXLs867Kxy4988VzOOwXu10pKL1PDh5ptt2pTk3mc++ZlEIBFIBBKBeQ+BSTxDk2D1XIeTuDh6QvOAj/3git/3ToA/cLcXJ8GKgJzfSQQSgURgPkNgEs/QJFg9F+kkLo6e0DzgY1/5yXXlDZ/7yRy/OmMJB1/oCl9O/bKbaW5mpSQCiUAikAjMvwhM4hmaBKvnep3ExdETmrAHa2oJh45gqXCu5lYnEt+XX375yFTyO4lAIpAIJALzCAKTeIYmweq5+KZjcaiCrejm2972tlBV8W7qqvOqLaWwYKRasnHUdVK0UnuM5z73uT1RefDHrvjVleX5/35e+ctCi82yhMNKSyxcznnL5uUhC3b3Cf86Dg+WwoT6fSn2qEq64pFRUTtGuxIFLFvbWkz9TUVNVWBubTU0dQz4KhCol+GQmjxa/agiv//++0dhqd9T6FXBQf0Io6KytOra1u8Q0Y7Fu27tVDD1N++8885ajV6h0OgeMJ72I9ZNpO/e1Pko7Lvbbrs1d06YOoaac/aCPnpDxPpXgXxI3Td1tRQM1X9zSF0rVdC7GnjRZ9JBwfr/8Ic/HOqk0P2uorTetaLBUVGQ1ff1A22t7j71N5WvsQ/o8Ci+9gAdvuOOO4aLmZqTThvWr8brGkKPSqbjDB3V3KZrnCRYPZGdjsWhcKeeZfqN6U1FaUQK0SlMqA2E8VTljhaSO+6442oLGpvcDb+IqBa86SvfVH73uBdWRTGzEg6rL7dYOWXvZ5eHL7zQA34CwVJlXTVvz6Lauj570arYxlB5GblBSqJlIFQ7105CRfwhhEQlaXMZUm38yiuvrAclotXaT20q2IgeifS47MbxflTZvvHGG0PtR7pxuv6DfVomzWpNKiap+Kxq7EOqwWvpZA9GmoF3c1NtW2jb30OKyDq4zUVbqagohqt5tTZZQwiA9lD2j04KUUEYVSDXuqu1TUz3m13jd4VcEZKIvjSWVkTa7zDoogalM0FrJXOhX6IFnLXgQYzsxVe96lUheBFgZ4B3pBXYIx7x9w4afQekL5FxxaD9YZxG8Z3Zb07HGdr32ebW55Jg9UR+OheHnmMaADswP/3pT5eVV16556z+/jF1pPQu1I6G5aGIZ0R4w2xUhx7iF7GmtIHZfOd9y29XeU65d5El7p/Gcg9/aLnjrnvqnw1WW6Z8atenl8Ue+neSRen5rv5n2sDwGKmirP1Ia8+t7kcduBtssEFtHcIqiwoLlZdQNfyoVacaP3IkBDqke721ImyqhVJUvv3tb9cDRvXzaK86v+15kOJoCxFjMDI0nXUwRGVUBEuLGmQ62qjZ/O1BpUeQ4KjoNUkPMJgibVG633Vwq8pu7UbFu0FCkDSN0iPCW6/1D4+0VkBR4QWWRqCBNEIdEf0NPY8WTy9/+csjQ1QiTyepjI6kRaq8M7YYlbx61n60hc7ZZ59dIyGiD4zjhRdeuPmZeKO14tHL01pRdX7UMp1n6KjnOqrxkmD1RHK6F4fxeRXOOOOMwpMU6etmw/L4vOlNb6qufNZ4hCBdfPHFtU+e/lu6rjuAW8fhrn7Ri19Srr1rkfKWd763PHL5JcpGa65Yfnr9beUVx5xbbv/z3eWZj1m2HPOqp5WLr7vt/jIPG6y+zP2hQ+53h4xWLEgoqyyiVC+99NIagmUp8kBFmgGbg6az+nex5qMtKyhURJKFKCQWITdInkP3U5/6VCWPkefhCeDpdADDJhKeE6pBRJD7Lbfcsuy88849d9PfP8bDopciz4hQWOfNahmI19Se8SwOGPOI9HfkQTvmmGOqFwEhj3gIrTF7WJgScYyEphk5WqtoxIuUR7wIDkp7Bhb6mUb6GiJ5QqYHHXRQ9dQwuFqFTuIB5rXlufIn0kbo6quvrs/Dmy2Etfbaa7dOpZKi6667ru5h+896aRUN0q03632llVaqZK81JA0T2L7mNa+p+DIgI3UAjWPNCtH723gRoY9e/epX12fiLR3SHml2vz/dZ2jk2af7O0mweiI8jsVhw/Bg2fg2C5IkLNXqwmah8UJtuummdfMJ4bR6tCgiSpWnRLiQV6k1PObgZSFS9jrIs5AokvOvuaW88uPnlj/edU956EILlrvuvvf+t7DykouUd267dtlqnb968Ty7g9xNQocEb4l+iq3CE0CJODQpxTXXXLN1iOpNQ6woIIpR6KVFusPGu6Bgv/e97zVj6veQEcRGiE7uRuv6MMaRRx5ZGzwLYxlP+LJVTj311LL99ttXAmysSC4W7wqvCEKO2CBKEZHXI0/O3/KWIuL3YcFDKey+zDLLNA/DS8pDg0TwbNhDrWIO5mLvGSuS+2dd2HP6Igp3Rt4vQoOMMALkIdp/rYYW44Znhv5EtCJ7Vw8+hBcZpx+tuVbhfdM42hzkxh1yyCGtQ5RLLrmkro/TTjut6pHPf/7z5aEPfWjTODC97LLLqrFn/2qI3dqD07sQmrfWeK94v1o94owARtqBBx5YjQpknn5ufb8tDz+OM7RlPuP4bBKsniiPc3FQKMJACIoQDqWw+uqr95zpXz/G5SsEJEwhgdjh05qb4pm5nm1GBxe3fKv1iUjwjiATvHKsNfLRsy4rh3/zlw96pi7t/WM7rV82XXOZ2kyZQvU9CpZFTjm1irApD+HNN99c3vzmN1ei1io8EkI/vD9RQsGSR/SMwerkZWwV75Q3jUUubyOSpMsKRxatNV7KiPWLMLJ6hTxZvl1eV+vz7LHHHjXp/vDDDy/77rtv69fr55E7Bom/vZuI+H2HsPnwBEcEDkL1SO/pp58eOrC8D++UUWPvR7xx1oV8Sh40XqNWY8CzW5+84fJ6EBue21bxLnjAjHHYYYeF3q/9au8hvJ6LTmoVegN5R4yQmkjCP/2FXCGdvIyt3meGiNAbXWx98NzSzS0iFL7uuutWLxovnjFaU0roUWRZREA48XOf+1xda9Mt4zxDp/tZ+o6fBKsnUuNeHEiNmz8se54jBKUlti5hkXUiaZFEvAM2M5LWlU2g5FpzU1hrDiw5P4RlvdnmW9Rq71Nb7Pi3W876RFn0sRuUhZZYviy14J/KatecXr7znW9XZcbjcsIJJ1SCZ8zWhF1kldVKyTt0eCgirn23G3kU1ltvvZqPFRGeDZ4975eCjEjn2dx7770rMYmI+bN8rZFIaM5vCie7jYg4Mgoi0nmeot44vyls5Fn8/YxnPCMyjbo2eX3MxyEWEfkrvEUXXnhhKOzjN3mcEHnPEgntGQNRFS61dxGCiNj7krcZJ9FbleZvjcgXjBgC9B8iwJiAiRB7q9eIB/2xj31sNWp4aax34b0W6daG7/BAI+CtXnD6E1kk0i940luN3s7LagyXot73vvc1hZDhKcfQ3qf/5AtGPOAt2HWfHfcZGpnjqL+TBKsnouNeHJK8Hb6f/exni5Afq5jCbBGJpTYxi5gVazxKs0UQNUqWx+eCCy4oXP6tOT88HRS9cIc5feykb5VXfOJ/HjSN333lsPLna39a7rnjf8tDFluiPHvjjcrRHz7s/nwLuSTCpxtvvHH4ZhUcKClJ6xGL3KTNA47yZFqJXvfQFDYPA7IYdcuzPB1+wp9R8V55GSUPR2XPPfcsksORk6g4tIRc3L6LiHXqZpo1GslZ8pvC0K64C7tEhYcDgUbEoyL0w5jqDuPIOLy+CG80idueRSB4jKIHsBuvSC+9EyV5iLvcLx40XtuI8KxK1BcGQy5aBTGztoSOvRshz9Y9i+Q98YlPrITZe3UppHWdwpH3zjPwONNBrRdunCO8rN4L/Sf0Gt1zrTiO+wxtnd90fD4JVk9U5+bi4NJ1mEo85y2IyE9/+tN6EPNARUIOfhPRk4cULeHQlUu4/K6lypHn3T7Hx5hZtXdudiFCByEPG6tWkibixs3tZtCcEtC5113xHlJjS/KxA2TIDS9eSTkpQwqpevbIhYgOfMSEd1G+XlTk+MmlioShut+EReTwmzrnoWNYnwj4kHkI3yrNIEcmKgjeP/7jPzYfwFN/b+i6kJsnb2kIFtaVkFy0bIznQbB4z6IlEOx1XkU6qzW9ocOTIcXgRYpaiVU3hnpxQnoulETEhR91vxgyiFpEGB/WRXdjPTLGkO/MzTN0yLyHfDcJVk/0JnFx9ISm+WMt/QpnrPbe/ZjEd1YlYsBCdaBdccUV1aMkbyslEUgEEoFEYN5BYBLP0CRYPdffJC6OntA0f+yee++rOVi/ue3OWVZ7X/QfHlIufOeW9ZbhzETFbt4G4bqURCARSAQSgXkbgUk8Q5Ng9VyTk7g4ekIT+thpl9xQ9jrh/PrdmVV7999f+tRVy2EvXq8sOENLHf/G3S7nR7K6UIREWDlNEupTEoFEIBFIBOYtBCbxDE2C1XMNTuLi6AlN+GNI1iGnXPqA24TqYG297srlk+dcWe69r5QdN3hkec926z6IZHU3AOWUSdRUQsJNOAn90XYT4QfJLyYCiUAikAjMFoFJPEOTYPXcFJO4OHpCM+hjwoU/uvLmB1Vy/8pPritv+vxPKsnaacNHlXe9cJ36v7vPvmSD1Wv5ih98//v3/77yCQr5ScZPSQQSgUQgEZh3EJjEMzQJVs/1N4mLoyc00/axk358bXnzFy8s991XyqaPX7787De317wtcu3HdinLPO5p5dOf/MT9Vd9dKVfYUBX6lEQgEUgEEoF5B4FJPEOTYPVcf5O4OHpCM60f+8J5vy77f/GiB/3G7776wXLP7b8rK7/iA0XVd611VJ12pVrNm5REIBFIBBKBeQeBSTxDk2D1XH+TuDh6QjOtHxNCXP9dZ5Tb/vSXB/zOn2/4ZfnNCfuVpZ71irLa0zcv+z75IWXPPV9TKywPqW81rQ+TgycCiUAiMKEITOIZmgSr52KfrsWh5YnK5Hp1RUUxPTWg9AscIlpaaCnRWh146m8q1qjZrhpVQ0RhP5hcdtsCZcdjfjjToe64/Efl1m8fV/5yy/Xl0autVt52wF/7yE0VldJbW1rM+GOKm+rtOKRgojGNoWpyawXnGeejsOeQQpbG0zpIherFFltsyGsqCiBGC9d2P2zNqCbf2gJl0MRn8eW77rqr9piLFpTshh0FLsYwl6G4jGK9KEhrT7b2vZsRZgV6jREt+tmNN4p9rdmyPTC0krkCngpAD1kzCiVffvnl4RZNHS5aNKkDGC3MahyYKIEzpIjyzLbXdJ2h06EHRjVmEqyeSE7H4tAXChFxQPG8RPuOnXrqqbWFgnYn6kNFlZfeeFdffXVtbRFt/ql5sOd4xzveURvnRpWOPoqqre9/9BfKwadfPce3NLOq7w4oysZYkabK3Y9+6lOfqq11JNBrOBsRJEKFeY2eh8xF3S/vmjIeQmy0UtF6xDuKijlYvw6qlj6ZM/6eHnXLLbdcuEmz8VT1X2qppWrPutb+blPno1m0huDy+aJiX3sehgaDJSp65ulHOKQVEuPLHIa0qzF/jZ+PP/74ct5554X3NFxdTNH6xj6Iirm8//3vr0ZldA8o76JR+XbbbVebhEfEnvaO6AZNuaM6U8V8e1oLMr0BI8IIhIln0T5rm222iQxTexRqfUV3Io6t/Vpn96PTcYaGHnKMX0qC1RPs6VocLBebQsNeFckPPfTQkPXh8FeeQHd2fbsi3eJZ78jIMcccU8sdaEcTEUpYewsNTRHHyOFLYei3ddYl15ay2RvmOI0T99iwzKzqu/IN5qFZ9M4771woxVbSx3pHSBycX//616uFF/Eq/Pd//3dVfBSXdioRsmb+2m3A1/tZffXV54jNzD6g9dL5MMU6AAAgAElEQVRBBx1UTj755Orhi7wjc+GN0HfPIb7OOus0z8Wa0w/xkksuqWU2Io2aHQY8I1r1dL0yI545+XsaLWvkrV9c5B17DsTTXr7++uub1xoAeRd5aBz+et9F+wlq5aSXqV6ibta2rntzQYq0QeKhsfa18GkV75g3Wqsv3nGEsdWL2+1bbbIYKHqbbrDBBq1TqZ/3fugEPQXpp0j0wDuin8wDKZpTe65ZTdT7YWAYyzkQWXPal9H9yDTdj8S2yu23316NYnrf2mesj5Jcmc90naGtzzrOzyfB6on2dC8OPcxYDpqCaurMmyRsIkTQV5A1DZUdeBSzsgU2TqtFT2EgI+pLsRaFGFobPLvJ54BwcFOonqtVISI2++y7bzn57vXLAg+btedI7azvHbBZechMCpLCbqWVVqrhjRlFYVINYPuI92/+W221VT0Aox6Ovffeu3rCll566doXLCJ61cHWc1GurQcnXDUB32mnneqBhxREwp+axh522GGVSDgorJdWOeOMM+rhYI0J70aaJHseRPOaa66p61TvztYD3Lztv49//OM1/Mpb4xBuFd4DOYAK3+6///61+G2reI5111239tfUi+/FL35x8/MgJIwsDax5gjXTjog+l9pSWfuMlIggEPSABudI7BJLLNE8DO8MQ8BaQRg322yz5jFOOumk6mXSvFqj4w996EPNe4fBph0XgwtxhO0qq6zSNBdRAmsMUbQPecjp+xbhsWVMH3HEEVXnw9gN6pb0ju588Qyve93r6h5CsIb0FJ3dM0z3GdqC37g+mwSrJ9LjWBwOChaasA2F2DXxba1OrrK55qaPetSjaojM5uXxaBFKgOVMydu0PGytjV/vuOOOOg9KlTJCKFrzxBwUu73zqHLmnx9Ta74vsMCDW+dsu97K5ah/Xn+Wj6dxLSXCSmStHnfccfUQRFT6HjxIFTK277771jG6XJIWTGGpm713TJDQVuVsHsjVaaedVscQJtFQt1VY7ggFQfgiVi/SrKK+50LKNcNtFe/XmpD/h8xHw6e77757bfTtbx7YiPh9N1F5sIT3Womr34SDvcaD1nnTWufifXTGiPfUuv+7ddGFJxkFX/7yl5u9lIgzokh23XXXavi1HOC+Zwx6iNcXobH+W72lCKdnMQYCi3C2Co8g0uq9eMdISev7tSZ44Ri9vMj2caunVIiffu/06uc///lm49W7RDLtfdggaK35UtYVI+RrX/ta7YRBvzOqI4ZJ33cxjjO071zG9bkkWD2RHufiYM07yE844YR6mNtMHdnqOd3quUIohIIkPCI5DsMWERITEmC1rbrqqvXQEdpqEeHCF7zgBdVDIV/HPFq8cn6LVbXfEZ8pS2yya1loieXv//nFF1mo3H7n3fX/v3nLx5XXbbbmTKeGuAp9CkU50B2gwkqUbl8l63vc7zxQsGUtytdpFYcuwks5ei7vqFXMXahRyJGClr8REb+NjMjh844iwoMl7493gmcgIggv5X766afXvJiIINCIp79bvQHd7/l9ZMR8ot0A4KCFE1x4sCLifSCr3o81EhHrYocddqjN0I3XSgS6fcczwkijgyKeDftEKJq35aijjqq49t1z3XPzAvIY+x5y8r73va+ZCMATDnSPeXTGRV9seXuQXjqQ9wkxaTVK5CoKtTKsjIXYtIbhfvrTn1ZyJxzo/SJKsG0RoV57BGF95StfWcnV0EszfX5/nGdon/mM4zNJsHqiPO7FIRdELBw5kMhpM7bE+VlIvAFCNw5kFiCiJDTVV3hpWPXCFEJsDnUWeouC5MpmYbF+5T5EiAkM/O7Bhxxafv77u8vb3n1Y2WLjDcoGqy9T/vM7V5QPnPaL+kj7Pe/x5bWbzjqpWAInCxrJO+CAA2pSaKvw7CED8luQpEj+hpwW4TSHHqUfEe+UNU3ZOswjwhuGQDtseBoj4uBBnB2Az372syNDVO+m8ISE7kio0o/Cw3clL0fIhDF4A575zGfWdxvJhTGGW8EIgTy7VkOiA+/YY4+txBeBbvX2dGMgd/Y7IhBNBEe6GVm8Rq2GlXk4wHlX/aEDWtMMjOF9Inh0H2LUogM7LHh7GajIjQR75KLVU9MRRXpUOI0OaEm9YKD5XftdaJ8HnX5uWe/y4RCzLrlfmFOIsMWrSAfa8/YLDHgV5T6OQ8Z9ho7jmeb0G0mw5oTQ3/59biwOuQ9nnXVW9Q5cdNFF5cQTT6zx/xahICViyoNykLHOW0mBhHO5Mjw4Qmqt1p/5IkkUHYtLMmerN80YlBSi5UYU93x3gB199uXlg6f/lWQdsNVaZa9N1pglRCx7ionXRZ5aRDwL4klhR3JB/CZiYg4uNUQPQFbshz/84ZqcGhXWtHfrwIiKsAcl32rRT/09+VwSw1vI+4zzlb/F4xIV6wtRjORNdb8pvIe4tobTp84ZGeEN7MJzkec55JBDqoE2ZG0hI4yQKFE888wzq95CJFoJTffMfh8JsWcja8M+s7Z5eRGcyBi8RkKKPIq8k5Fn4YlkJPPgye1rvelNB3sOhFv+lzFavV8MBzjy4HsOusvN23HJ3DhDx/Vss/qdJFg938DcXhyUP6tjSH0Tm5RVGbWKQdXlDvSEbaYfcwANmcPM6iYddeZl5UNn/LL+3oHPX6vs/uzHzLTHIcXCOyHhNeql6B6q9RLCzMDwTlqV7dRxhn7fWNZEK+me8VmGjjH0+/kcD3wjQ9fF0O93RkSUnHVPwygcsk9HUddsqL4ahd40B3t0iK5gkCHcEZI5RN93353bZ+gonqF1jCRYPRGbxMXRE5p55mNHfOuy8pFv/ZVkTc3P8v/dNPyXpy5Rdn3+htWb15r0P888ZE4kEUgEEoH5EIFJPEOTYPVcqJO4OHpCM0997LWfOb987eIbHjSnBUopt3zvM2XBX5xZbrzhukGW4Dz1wDmZRCARSATmAwQm8QxNgtVzYU7i4ugJzTzzMX0LNz7srPKb2+580Jzuu+/ect1/7FZWfPJm5ZqzT5xlzax55mFyIolAIpAI/B9CYBLP0CRYPRfwJC6OntDMMx/7wRW/n2Xfwj9deX658QvvKKvs8Z/liwe8eKZV3+eZB8mJJAKJQCLwfwyBSTxDk2D1XMSTuDh6QjPPfOwrP7muvOFzP5njfGbWt3COX8oPJAKJQCKQCIQRmMQzNAlWz+UyiYujJzTzzMdm58GaOslZ9S2cZx4kJ5IIJAKJwP8xBCbxDE2C1XMRT+Li6AnNPPMxOVjP+lsO1n2zmNUSiyxULnjHlrPNwXJF/eCDD64FVvVy09BYDRq1cCI1cOYZgHIiiUAikAjMJQQm8QxNgtVzsU3i4ugJzTz1sdMuuaHsdcL5dU6zIlnv2GbtsuuzVp/lvBUgVUlfUdYnPvGJRbsflc5Vc472ypunQMrJJAKJQCIwZgQm8QxNgtVzkU3i4ugJzTz3MSTrkFMuLTdMuU2oDtaTHrlkOe2S39b5zo5kaQm04oor1ubBnWgwqwXL8ccfP889b04oEUgEEoF5HYFJPEOTYPVcldOxOISiNt9889qXbo899ghXNz/77LNrPzp9pXhcoqLNyJprrlm9NNGKwTfccEMNp2klE2kO281d2xPhOW1gImE54cJzfvmbcugHjyi7v+Kl5aWbrF8WXKCUw7/5i3L02VfUnzlom7XLbjPxZGnP4fe1KHrc4x5XPVnap+gPp9VERFSf13Bag1YtdqLyq1/9qjYANkdjRrDx29qx6P/39Kc/Pdy773e/+13tD6fljyrT0er8+rOp1q2v4hJLLNEMjSrwqurDxFxUD49UprfH9UNU/RvJjoiK2+ajIfHrX//6svzyf29O3jLeHXfcUXsJXnXVVeE2Rlo6qdoNE+2t9ASMiibHGsd7rmglcOtV+x7GykYbbRSdStG65l3velfdl9E15x1pU7XKKquEWn91k//Zz35W9aW5SCWIiHNAT0HN5+mdqMBl3333rX1WNfmOiPWrndkXv/jFotVR9ByY2W9PxxkaecZxficJVk+0p2NxUDgnn3xy7TavjYHeX3pVtS5qTUD1HrMxdt111/q/l1tuuZ5P9vePaS6LZOkr5xDXWLRV9D70PHrLUcYao3YKuUUx62H2ohe9qBKcE044oZIAyrRlDPh2c9HD0Fh6bx159pXlo2dfPkuS5XtvfetbK2l1UFPGDn7Ywge2yyyzTCs0NcTIK6anY7R3n0bR+jhS6prNal4dEXP5yle+Uh7/+MdXfFsFJnqraT2E1H/jG98IHTDWP8NAT0Rh2EhfRWRE42vz0cjWXFoa4HbPbt8gnnoAIgLbbbddKyzl+uuvr3O59NJLy+mnn17nEyHBO+20U/nFL35R5/C2t72teR6+oME6veXwRgQia1ZvRXv6la98ZTUCI3OxZv3R51EXBQ2xWxs/I7233nprxUQXBuseQWrRBwincawXzZYRGvPRm6+v0A3E3/BlNJkLwhche0i0HoeIDXJlvbQKQ8fZoT+rsfzv1neN5NFL9oB2bJ5Hz8MWfOc07+k4Q+f0m3P735Ng9XwD07k4HFaf/exna2I1ckVx8GqxSNZZZ53ei5wSdTCcc8459aBCbhw6Gsf2FRsdseAN2G233WpDZA2SKdcW6RqbIjWe64ILLqjzaREKFeG8+OKLK7FBsvbee++WIepnKXa4bLXVVuUZz3hG2W+//cqHvvnLB5CsnTda7f7ehRd+++vlmMMPLR/84AcreWC980ZQqjwS3o2G1a1CwWs4q7myA+vjH/946xBFw9Y3velNlRxp1srKbJUbb7yxzuPcc88tK620UuF1jAhrWbNpcs0119SmvK1y7bXXVs8KDxRy8+pXv7p1iPr5bbfdtvCE+RuZjojfR/J4wHgKV1111eZh4NCRB/gcfvjhzWP4gvfy29/+tnr1vOsVVliheRzrg3cbIZFTyGPZKnQAAk6HwDVCFpEQHhG9VDUGX2ONWTdjn9X86CRkD3lGyCNNvY888shKFumDddddtxKK1mbHPLZPfepTK4lB0HiuWkkRT7jm0y7NMLjgs//++zcRNDrE75oPMqS5uLW21lpr9XrFdNkll1xS9dt//dd/1fMCyUKwdtxxx5AHeE4/PJ1n6Jx+e279exKsnsiPY3E4ZI499thKsBzkiy++eHna055WD7EWS4LlvM8++1Rr7fbbb68buDU5+5e//GVVYj//+c9rqO4LX/hCeclLXtITrb9+7Lbbbqu/6zYeOeuss8qzn/3spjGQEl4ohIaFKOEc6WwROOy1114VWySNd+FRj3rUA0jW1N6F1/77zuWRm+xYPvbeA8tW6/zV7Y+UsVgpaA1TEZ3W8A/rm3fD4W0evB28UC1CCSJ7DglEgGfAOmkVJHyLLbaoz3PLLbc0HzR+z3cdNvC84oorwiEoVrdDh2ejdX10z817Kwzm71ZjoBvD7zu0zIcHNyJweOxjH1u9jD/+8Y/LIoss0jyM98EDwQv3rW99KxROs++XXXbZSlyFt3mxWj3jDBwhNA3ekaKvfe1r1ePZIsg8YsdrxLhxmLcS8auvvrriaQxeZGu/tQE0I004nAHJO42UtJJF60NKB+EBQ9haQ9qe/+Uvf3kl0FIoPAsjtEWkXzCA7Xs60fmw5ZZb9h4CuWKknX/++dXDedNNN1UdC9uhzblnN4lxnKG9QRjTB5Ng9QR6nIuDQuOKZ3USCpKl0qIQkApWJ6VAHGC77757z6f968eE6RzCXNA2Mm/Jxhtv3DSG30XUECVWuEOnxTOAUMghOfroo+uBzp3Prd7ijqeYkSsWHmXNov/yl79cPVL/+pnzyzcu+c0DnunXR+xYlnrOK8sST9m6fGyn9SvJEu7kwl9ttdUqplHvhIMP+eW9QtgiIT7ztjZ45YTYoo2reXyEoL73ve9VT0lEvE/fZQ23Hr7d7yGcDhnvRnguIkKMDm4eMaQgIr7r/TIuovlKDBLeEd7B9ddfPzKN8oMf/KASTZ6rF7zgBaExrG8hdt6eN77xjU0GWveD1iePMcJqnAiR77yciCsiEMHE+uY94xm05hEBBkpfoTekOyBZSCt9iqC0EE5rgzGBMNLDCHirPrXP6FMkjy7khWoJT3Z6nAFAYGqMFlJED4skIHaELpIuEAmp98W/+9w4z9DWuU3X55Ng9UR2nIvDJkCoEBqhNZvbZrap+5IsVvBJJ51Uvv/979eQ4eWXX15vwLUkaVNMXPqSvf1xiBmr9SB1YJmLMAFlIHzYQpC8Itb0iSeeWInJJptsUhV+q7DmhTuFG3jEtn7BNjPtXXjT1z5S7rzqJ2XZrV5XVll9zfL2Zyxa/uVf9qyKnWJGaoQIYBJNbD3llFPqO+ZtbPFOTn1m8/B+ujBdKx4+L8RBoqE53+Vxlbg85IKFQwOB7bu+Z/asiPyQJGH7zhi8YFFBNLu8yugYQpVwEB6PioPzOc95TiiPzG8i8bwiPNDRhH8eWjl61gciH1nniBVjk5ElrNZCJjrsYEHn0KHCX61hQXoQmZHKYZ370+p14r1mnDIu4eqPsF6Lh1MkwJrgITWWP0j00ksv3WuZmD8vr7CkeTzlKU+pHjkkesi+6/XjpVRvGY+9yEar56/vb8xrn0uC1fONzM3FwYMkD4h17ZZfRIwhh8Htkqi1IleHt6HVizV1vkJrDrJIHkY3DiyQvOhzdPkHf1hslZn2Lrz3z3eUW797Qrnjsh+Ue++4ray88ipll1e9ouYpdKEJVig8vJOoeCcscSHHqCC9Ua9P95tyfZSliAriKr+m9eCa+ntCnUJaQ2ReGINhw9PT4h2Z8ZmHvg/jDV0X3ifPb2sYfOqzuAHJAGk1pqaOwevUkoc6I5aiAcjNkJu7jFOXXSI5bN18eK/ovKhB5jnk0/HERS4wmQdDl5cYsYqOMWR/zs0zdMi8h3w3CVZP9CZxcfSEZr79WPYunG9fXU48EUgE5jMEJvEMTYLVc5FO4uLoCc18+7HsXTjfvrqceCKQCMxnCEziGZoEq+cincTF0ROa+fZjfXoXLr7wQuUn75x978L5FoCceCKQCCQCY0JgEs/QJFg9F9ckLo6e0MzXH+vTu/ANm69Z3rjFmnNM0nVD0HVnSc5uG8l1cD3e9fCURCARSAQmGYFJPEOTYPVc8ZO4OHpCM99/bFa9Czd8zLLl5Auuq8+392aPLfs893GzJVnq27hF5gq0UgEKNCqnoE7U0ET0+R7kfIBEIBGYaAQm8QxNgtVzyU/i4ugJzf+JjwkX/ujKm8uNt99ZVlh8kbLB6suUhyy4QPn4d39V3v21n9Vn3GuTNcr+z3v8TEmWWz5uj81Yu8jtJdfc1ZpJSQQSgURgUhGYxDN0viVYet1pZeKqvPo7qtvOqgq0ljOu2CuK6Joqr4Liey0yiYujBZ//y5899ntXlkNPvbQ+4p7PeUx5y/PXehDJEh5U20Xl7a7as88/85nPrNfU9XlMSQQSgURgUhGYxDN0viRYikXq5YZkqcmkAKcClF0LlBkXsPpPWr2oxKtFgG7jSbAmdZvHnvu4719V3vnVn9Yv7/as1cvbX/CEB5GsjTbaqNbJ0ldSXSmFURUGVLtMLZ6URCARSAQmFYEkWPPJm9fTSsuFrty/aevrpFqwliazE4UhkaskWPPJy56Hpnn8D68uB335kjojzaGRrP+56pb7w4rL3ntL2WP33WorHYUJrVEVn/X8Qv5TEoFEIBGYVASSYM0Hb16PPdWvNc3cfvvt75+xlg4qfGuJkARrPniR8+kUT/zRNeXAL11cZ7/YQx9S7rjrnvufZOUlFynv3Hbt8uzVl6htIVRtlvj+hz/8oTbKTUkEEoFEYFIRSII1H7x5/a3cyNITT0imE73l9FWbUyimrwdLKxR/OrE4NJMddR8lvbaEOYe0Cbn55pvLeeedV5s7R/p9dc+oySx8ou0cjKMNjR595jKkv5VcOS11hrSnMB+NoYWGeZSigtRfdtllNdfP873jKz8tvFkzygJ/+w9dg2htU8z/Ax/4QNFrT5sha9e6GtKLSwsSrUyG9P7TBuXCCy+s8xgyjn2hV+baa68dhbdiCmN/Ig2Fwz88wxfl0Qnx+jNkH/FW6vU25B27jWo+T3rSk5oaG8+IhfxTrZiGtHTyjuURar8TbYLtHcPUfITMu5ZTkXenp558Wm1jhoj9SC9oIh0VOkrDZb0Fh6wZucT2tZzNqMDYXJ72tKeVZZZZJjpM0XLK+fpP//RP4TFm9sUkWCOFc3oG6wiWJsZTF+N73vOe2sxYN/vZSV+CdfDBB5dDDjnkQUONkmBRFJqhWsw77LBD7fIeqZmk4a+mn0oD6DbPa0KBdUqt75vQZf3YY4+tDW/333//stJKK9VDr0UZej8Un7kcfvjhteHsTTfd1Nz76qMf/WjNlXM5QbNWxFlPsha5++67ay0q5NXaQEKnej37jqUhswavn/zkJ8tPLryonPmwTcpvbrvzQV//069+XP/bKo9+THnfFiuUtxywfz2Y9CHTpNZtQkrYvNTKamn02v3Yz372s7pGVlhhhfKNb3yjufG2cZBXTV81E0f+5CW2iv6DxxxzTNlvv/3qezn33HNbh6if/+EPf1jX2hVXXFFz1zTVjcjrX//6mpNpDx155JGRIepFhFe84hW1ZxxcNtxww9A4UhgQJJdw9thjj1CDYg28rX8XJuSYRkgAXbj11lvXmmzW/lprrdX8PG7H0i16K9Inp556avMY1Sh5xzvKuuuuWxuma/xO77WKPcNYkn/LqLzggguaez56L/qYahb/rne9q77n1772tU1T6fSZVIB99923XrRiyNF5faXTq75rDt4xbOi9vtLpd2N97nOfq/rWeF/60pdmeeFrdmPLVT766KOLHGdGP703xDCd8beSYPV9s3Pxc+MKEY7LgwVKDU0dDkgAT4ANr3O8xe7g6ENweCQ+/elPV8VBKQqZykn71Kc+VUsE9LWuWIaHHnpotYQQLbltSCXi1lfMxQFx2GGHlS222KI8/OEPrxueF6dFEBNEwCY3f8pM0niLCM/Jt6PUKaSjjjqqKuhW4Wncaaedyl+WXq2suOPM8/z++LPvllu/c1y5+/abyrLLLFN2eNlLC+KvgzzhMaK4eJ8oQ8/TKt6nNcG7gXh6361y0UUXla222qoq42233bZ4toggMtaZg4V3IyJ33nlnzVP79a9/XY0jh9//Z+9M4HWquj++3pAhGTIrhSaECKWiJGWINJF5bCBKKqJEMiSE3hQJJURUb1IqQ5IKkbEyJaLeZPYiRPp/vrv/uT2ue++z937uc7nOWp/P86Gcs8/ev7P2Wr+19j57+Qg626tXL6O7HPbqIzwffT///PMNofchwDwXPMAWfB588EGfrpj3Apkhm4yjg5y4CvrBF9NkBelLq1atXJswegqJJgtGIEhGzVX4AIm5jx3gbDifzAi2Db3HDtx1111mXLTnIqxwYJfIOmELIDWuheu5B7uEXeGL4W7dupkAhW0rtgLxxiYQLNEe2X50lz2bNkLfe/ToIa1btzaBGocZU/gee9KyZUvz92iCH+U+gmoIFf6HzCu2kSDFR9+iPVMJVjSETpF/J0IkkkEpAoGY1K9fP11vcofIQLIgVkSdZAnIwLz99tvWVe3JiuEwmcQ4dMgOUfmYMWOcqtoHRCtwvkxonJctUeO9bN261RggDBtCBsjVyGMIiKDZw0QUTdYG0uYiLO/dcsstZpkP40PWpGzZsi5NGCfXoEED+fO88pLv1q5R732hUTmpX+7c465jfyBZCbI9uXPnNkuGuXLlitpW5AW8X5wE7wMHA7HxIQIbN240WQT0jCUBn0gVQ49B52tJAhLfJWFII85iz549CWTUCRQRk83AQfEnZ4/5CM/nvdAfxuUjOG8CIuYc7bjMl+B5ZDjJuvIlKsvtPst7EFeWoyECkHxIgOs7Bg+WBFnqxuYSMLlmGCHOZDhxrhA99s66Zq8ICMgmEjhCxiGeLDO6CAEj2TywxRaQ5bEJXCOfgf0iy4SgHwMGDDBZflthvkD+eR8IRNOFWHEP84w+kO2F1KHrBL+0Zft+t2/fbjLy7Fkms46eQaoIXmNZ1o6GgxKsaAidIv8eHNMwcuRIs0w4atQos1zB+j6pdBQF4xJ8UYiTDr7iYpJh/PjhoC666CKrUaWlcjARmUQYaIQxcYClS/TIUh3Lcyy9INWqVTNGBQdiK9OnTzeZNIw1QjTOeWO2jhRnw1Irhol9OjgbCCTY2wpGnrQ5joY9YhAkIkgXggRRJdpEb4j4WF5jySTILNn2BTLSe8Qk+fBgdJ2ZdG9lufrCPCc0zbulD927dzdGjr2DPoLTIdpkec0Fz8hnMR7mA/OIfRs+gtMjCwC+vvs+II04cJYofAgJ/QbXKlWqGN2IpQ2WXyHAts4qMWaQVfbj0A+bTEJSmIND+/btZcaMGUZXfYRMEdkn5ptvNgIdRVexo2TDXXHlnaBfZOhx4CyX5suXz2k4zH90E1LA8j5bKVg2hRjYCoEmGXR0FX/B+yFz4xLcgCd+hTGxvw77DDlysYVk0smgIwRFHB1EptJWILpgEHzIxVI2y5QuS5NgQSKCbQIIgQ3Bt+u7te1z5HVp6UN9+hePe9LlOVgAQfaKtWtS8URIpIwhFAhkgqgvIChsHkxqszTRmO0BkGmpHERZ7KsiOwFR4k+yW2QtbAkhpILoEYIV/JjUTz75pFPGA3LF0gl7FzCUGDsyOa4CwcJx4Tzatm3rHIHyPN4B7wuyTETO/iZXYTxko4gEIY+uwonv1w6YI1v/B+kMtrUf30rmjGfIsp43SbYzMybbPO+YfRNEwKTqyRiiyzg0nFkgGHT2AhJEBJkEMpxsTGcMRObs7fIVlhpZqohlwzDGmmxALB9HcJSF7RJJcmMlIvfNXgVtxtoP3iEBnc+eqaAP7OdhqTKWDf8ERxAJnzlCPyAjLKtDaMgc+wg2A91Cn/3l3wwAACAASURBVF0IUeSzICHYLbJePmNhjpDxZb7gF3wyNGS+ISGQbwIBCJarMA7mOGQXf8V+OJfMM3aLzBd/QqyCHx9e2WL7ww8/mO0iBJYkICBm/An59H3HLjikpQ916Vc8r023BCueoCTVdhiVI60xTi/PsykQXe3SfDKyWQXJkinlrxdZ8mRvC+SCjFZigsWyDIaVYIHlEQwkUSt7hGJxwOkFa+2nIqAInB4IhNGHKsGy1N0wKoclNKG8LLkC0XdXLCIjP98gh44ckyoX5ZVRLSqkmMmKBI80fSTBIntFlMnSAnu3ECJy9kxAvPgAQEURUAQUgfSAQBh9qBIsS80Mo3JYQhPay5IrEL3ox53S5vXFcuCPP03R6LGtKkn2zNGXWRITLDbBsxTAshUfOwTCHgr2jwQfD4T2BejAFQFFIN0gEEYfqgTLUj3DqByW0OhlSSDwzU+7pdXYr2Xf4aNyxfm55PU2V0qOLClvzE1MsDjrjQ3k7MGL3MjKJ+/se2IvmYoioAgoAukBgTD6UCVYlpoZRuWwhEYvSwaBFVv2SPMxi+R/h47K5efllDfaXCXZs2SUrzfuSqhfSIYrwxl/b5ZPjmDxoUPkBnK+xuIDho8//lixVwQUAUUgXSAQRh+qBMtSNcOoHJbQ6GUpIPDdf/dKs9GLZPfvR+S8XFnljz+PybZ9/5RgCuoX1ipd6ASCpUuEqlqKgCJwuiAQRh+qBMtSe8OoHJbQ6GVREFi7dZ/cNfIr2Xfo6AlXRtYvrF2mcJKb3DmSgvOuEI4A4Gwk3eSuaqcIKALpCYEw+lAlWJYaGkblsIRGL4uCAJvhr+o/W3bs/+OEK4/9cVCO7v5V8mY/U1YNb2fO7LnhhhvMoZ2UbIFIcdAjh7VyejUHk3IWmB7ToGqnCCgC6QmBMPpQJViWGhpG5bCERi+LgsCCDTul8asLk7zq0OaV8tukJ074N0pxcPZVcNAoNcsiDxp1LXytL0kRUAQUgZOJQBh9qBIsS40Lo3JYQqOXRUFg2vJfpNPk5VFxSqp+YdSb9AJFQBFQBNIBAmH0oUqwLBUzjMphCY1eFkMGK/LW5OoXKsCKgCKgCKR3BMLoQ5VgWWptvJSDJaBYC23SBpIa7cTaBv1IrTGlRl+C15safTpw4ICcddZZlhrzz2Xswary3Keyde8h+ftNnSjswVr0RI2EIxtSegjFkanH6FvEN2ib+pauBa+T6ldqYOsM6il8Q2rhkRrvh6LgLCfbFiVOClaqB3AsiG0d1OReje/8iWwvtbBNTbuQWn1KjXZONV8Q+e7i5UNPYVMgSrAs3048lIPJwAndl156qSmISuX5wOFRrJkCnDYkY+7cudKhQwe5++67zY9CooirgaYIM/e0atVKatWqZZ6/efNms9naVtgndM0115jK8/fcc4/ky5dPKF7rWkx45MiRQp2+bt26mfEsXLhQateubdsNcx34gilFb8F5586dpt6fq3CS+hNPPCGVK1c2ZWrat2/v2oRQWqfd+G/+vu9fJxaJzprpDHnz3spS/vzcKba9fft2ueWWW4QCtFmzZk2yQPS7774r7NmiuCxjXrZs2QlFkN9++22zgX7atGnHHWLqMjCI3jPPPGPO6GrXrp3LrQnX8lXkvHnzZMGCBdKzZ0+vNriJwsIUSKfgO4V9fYXxXH311UIheApY+wi6S9FnxpMhQ8q1KJNrn7PPOLGfEkl33XWXTzfk2LFjRmf5YGL8+PFmLvrIQw89ZAh9hQoVjM74CAXKd+zYYd4zH2r4FPam+HTevHlNZYOZM2fKjBkzrOxjZH+xKbxfilAPGDDA2AfXklOBPdu2bZspAg221BPNnTvluRvZj8CuYuc5MJj9llRnGD16tDW8kfZ9zZo18tZbb5nfyy+/bApbRxPsI0Xng2LRtAem7733nqxbt87gbON/oj0n+Pd4+FDbZ5+s65RgWSIfD+VAwXF+KDQ/JglfkEG2ICRPP/20jBo16rhDJpPqLpHh9OnTzeRigpQsWdIQLQwsZym98MILkj179qgjZVJRfuWNN94QJn6zZs2M44Kc9OnTx6riOhMWp80kx+g0aNBA5syZI4899phw3IDthMXBDB06VHBWpUqVMmQB4wP5sxXwBY/u3bsbHKhED0auJAvDA9GjL2QCeFf16tWz7Ya5jr406TpQ5h8oIBlz/OPoCubILGdlzigbth+Qs87MIGNaVZLKxfMk2TZtPP/889KlSxfz7x07dpThw4efUCAag79x40ZDnDiUNDHBgqRBoDGgvNcePXo4jSW4eMqUKdKoUSOD59SpU73aYEzoPHqGA/YVDl2FgPNnzZo1fZuRPHnymMwgQYutriZ+GISImpKTJk2Shg0bevWF9wJBg4gwJh9yhNNu3bq1ef6gQYPk0UcfdR4Tun777bebNpjDAwcOdG7j/fffN21gjyDiEBvXzCkBAbqWJUsWKV68uGmD9+3yjsCDoA+iCGEkUKLOZ2SVhJReFrrKV77MwerVqwt9otICwe2tt95qbR+Zb8uXLzeZxQkTJhiCQ0DKhy0UdI8m+/fvF0gvZbSwR9g0fAd4YPexTdEy7QQAVITo3bu3LFq0yNg0dJ5gFv/DD7vvgm+0fsfDh0Z75sn+dyVYlm8gLZRjw4YNhpxgnIn0yBAQFRH9YVxslB0yQBtMOqI8CA+f90+cOFEqVapkNVqe++mnn8rYsWNl8uTJ5h4iehxG5Ini0RojSsQoQ3IQDAgkBSNpK0SJROEQBqRfv36GMNlgETyDqBWDQbaEjAJjcskKYFj79u1rjPrvv/8u2bJlM0cl2OJJP1hmwSCPe2O8fLH2V8me71x59d+Dpe5VJeXw0T/l3jeWyJc/7JTMGc+QV5pXkGqX5k8SItrhvZAF4N1u3br1BIIV3Lhp0yYpVqxYkhkscMXAQrLA1jfTQgBAVgPd9RWcHVm54B37tAN5ZqyMOXPmzD5NmHtoIwhSfBvB8UHIIbc+wvyjH5Ar8OXcM1fBXuGsycIxX9q0aeOMC+WYypUrJ7RVo0YNQwKYNy74ku0hm3Lw4EHj9MnIQTBc5i/kvXHjxsYeMh7IgEs2m/nLfAkCCbCFVLiQVvSLTBfBJ4K+QloJZm2FoJFxfP755+YWbDrvBbJmO/8WL14sTZo0kR9++MEQOrLzkCqynTakFSyw4wRnrDbwXFYcsI+0ge7GS9LCh8ar777tKsGyRC4tlYPsERFRZCkUsgQjRoywNgqck1S3bl3jgCEFRDpExWQ/bCczZy+RiWIi8oMYkR3BINgIhAZCBNGinh4G5oILLnAiatwHDmTX+LE0RoaCSNp2HPTju+++E4zTkiVLTPT45JNPGoPiIpAbiC/EdcWKFYb4Fi1a1KUJcy1jevPNNw0pefHFF00Ee+jIn/LAxKXy6ZptkinDv2R4kyuk5mUFk22bvvB+iMIh5BjIxJISweJajC1RPXtrqlat6jyO4AaWI8nUuCyRJH4YpBFnE4uAKc4nFom1H7t27TJEGvLqKzhgMq4EJC5EJPJ5zFvmBxlfF0IUtIENwgmjG2B67rnnOg8Hwkx2B5IGEWBpzrUvkCnOgaONihUrmh9LwLbLt5AyDullGQ7CSbDJn2RwbcdEtgcyxLIe2S7ug1hhQ2z7QcDKigDzlnnCD2xsM/KMA5tHVpNMIEFewYIF5YMPPjBbTGyEoAp7wRaCQMCBDGOwTGjTju81aelDffuY2vcpwbJENC2VgwkEKWBSRf4wTmeffbZlj/+5DEeKwSSKZGL6Tib6xXKkTx+C3tAXjIxLFivxgMGEdojgfAU8fHEInkk/bEleUv1kDPyCDch/HD0mnd9aLh+u+tVsdh/S8HKpXy5lx5a4fmHkc6IRrOBa3mssm6ADsuZLBlLj/lOljdTYqJwa7yPWNtBtdCKWdxrr/OCdxjpPyfIyhljmKdkrbG8sWOzbt89k8HznGTgQKLPvErvl0xf6gO0Fi8gfJNG3Xy72Ny19qEu/4nmtEixLdMOoHJbQ6GWpiMDRP49J13dWyrtLfzF74QfcUUburnS+8CViUkWiU4NgpWL3tSlFQBFQBJJEIIw+VAmW5WQIo3JYQqOXpTICx479JU9N+1YmLtpsWm5Y8TyZv36H/Lr3UMKTgiLRiesX+mSwUrn72pwioAgoAicgEEYfqgTLciKEUTksodHL4oCA2Zg7Y7W8Ov/vzf2JJTjoYdNzdb33YMWh29qkIqAIKAKawfp/BJRgWU4GJViWQOllqYYAy4Xlnpkl+w8fPa7NoEA0//PX1x+Swc8/LzdWr55QIJqN1mzI5aMCvnbiq0k2wrIplp+KIqAIKAJpjUAYfagSLEstC6NyWEKjl8UJgeSKREcrEB15/lFk13r16mXOVlNRBBQBRSCtEQijD1WCZallYVQOS2j0sjghoEWi4wSsNqsIKAJpjkAYfagSLEs1C6NyWEKjl8UJgeQyWIkfp0Wi4/QCtFlFQBFINQTC6EOVYFmqTxiVwxIavSxOCNgUiS6YI4t82a161CLRHF7JydOUHOLgxMjDSTljh1OuOcGcAy45EZqTuzm53raMSJwg0GYVAUXgNEEgjD5UCZal8oZROSyh0cviiABFottPWGqe8FcSzyme7yz5zwPXSs6smVLsBeWCqA1J+RWqAkQSLMorUQKF0i6XX365ObWfGm0c0sjJ9yqKgCKgCMSKQBh9qBIsS60Jo3JYQqOXxRkBSFbv6d8fdw5Wnuxnyu+Hj8rBI8ekVKEc8kbbKyVvdrsafCkdThoMhbJCFBynHt35558f5xFq84qAInC6IxBGH6oEy1Krw6gcltDoZWmAQFInua/duk9ajF0kO/b/IcXzniXj77lKzs2VNWpvbAjW7NmzTf24PXv2SI4cOaK2qRcoAoqAIpASAmH0oUqwLOdEGJXDEpp0cVlq1IijllcsdRgBirOpYt3XFFnjbeOOA9Js9CL5Zc9BKZwzi0y45yopni97iu8kGsGi9lqVKlWkRIkSMmHChHTxfrWTySOQGjUBKVBuWxw5uZ6kxvxJjXmsunJyEAijD1WCZalr8VKOsWPHmsMfK1WqJPny5UvoDQatQIECVgWNcdrTp0+Xa665RkqVKpVQ2HTVqlVSunRp68KgH3/8sSkujXNlozN/Z9/OddddZ4mSmOLFr7zyilx//fXGQa9du1b2798vFStWtG6DC7/77juz4ZrN1lSMZ1yXXXaZUxtcTKV4MBg5cqS0bt1aSpYs6dwGBa4/+eQTGTJkiBmbTz946LJly6RFixYyevRoueqqq5z7EdwwdOhQQ9Luvvtu87/+u+egNBuzSH7cfkDyZj9T3mhzlZQqnCPF+oUQJ95Vs2bNjusHG94bNGhgDir97LPPomavWEJEV3LlyuU9HvqB8z0VMmXMc0i0TzHdAAD2sNHOBRdc4I0JN/KO6tatGxO2HDK7detWs6fOVxYuXGj2573xxhtSvnx5r2a+/fZbadeunTzyyCNSs2ZNU/jYVVavXi2vvfaa3H///UJ79evXd23C3Ec74EqW9sILLzS2xUXYl5g9e3ZzeO+aNWtk3rx5pk8uOsM92FmKLrMH8osvvjB/r1WrllVXmDOMpUyZMuZ6bPX3338vX331ldSrV88qiGOP5W+//XYccd6+fbuwPQCdadOmjVVfbC+Klw+1ff7JuE4JliXq8VIODBeO7IcffpCiRYsaosXel4MHD5oTuPmSC2OQ0uRdvny5MVyLFi0yhKxy5cqGbEGOcJgQAxvDyFdmEIiNGzeazdDVqlUzBu2mm24yX6Cdd955UdHCWOCg+Wotf/78hlhNmzZNHnroIenTp48xTDbCJmzGtG3bNvPcTZs2yTPPPCOPPfZYAoG0aadp06YydepUcw8V44cPHy6tWrVyMoYrVqyQW2+91ZAO+j9x4kTz367Stm1bgVDjXCDEN9xwg2sTJgOG42Yss2bNSiC/O/YflhZjvpbvf/2f5MiSUe6/vrhMWLg52fqFODlII18O1q5d2/QDXWnYsKEhtp9++qnkyZMnxf5hhCGbHF764IMPOo8luOG5554zXzdOmTLFuw1Ory9btqysXLnSnGjvK+guc7Br166+Tci///1v6d27t3F4BEk+wkcJderUMaTk5ZdfdtLX4Hk4cZZ5jx07ZvbS+WRO0QN0nSADhztmzBjn4TD/IfIEWuznI+jhYwpbgUxgh9Ax/g4x4D0xD22FewYPHiwctoud/fnnn827wTbedtttVs0QBDz11FPy4osvGnIH0cI+EYBiYwg0ognPxYZB7gj4sP1Lly6VYsWKGZLWpUuXaE2YQK1z585y5plnyrXXXmtIFSQYkkXg9vzzz0u5cuWSbQcMsT/du3eXxo0bS5YsWeTrr782xAo7e/HFFxvbP2rUqKh9cbkgXj7UpQ9pfa0SLEvE460cRL1MWJQcZYcc7dixw/SuatWqMnDgQEOcUhKMCA6GCcfvvffeM0QNcgap6NevnxQqVCjqiLds2WKiMgwhhgOBFGBcgokdrZHff//dkCwcDZMfKVKkiHEWEEYbwRBAGnESGDcEDDipnOjRVjAUGK9AIF0jRoywXu47fPiwcRDg8ccffxg8+/btawyUbdQKHhh33jGZRZwN2BJtusj69evlnXfekZkzZxoHPnfu3ISs3N6DR6Tt64tlyU+7k2wysn4hmECkyFpi5LNly2bIFe3TZmQ2NaX+8Y5xXDhRWywStwcWOBbeSSwCKWKexCIQGsZjGwgkfhY6CyGhL8xbHyFIwcGRzWjfvr3XRwboRvXq1U12hvnDl6M4ThdB39EJsCBTAvGETKMrNmLqafbvb44AQSAEYENmLnNmuw8ymPe8kzfffDPhkegugamtkEVv2bKlsSUIGUqCEwJZW52FkHTo0EGwjYEdYj5DrmzwwG6QeSbIhKwikESIGtl+m+CV41WefPJJY//ANmvWrIYcEkzzI8AgwE5JFixYYHSTjBmSN29eQ9LAgvdLQJw7d25baJ2ui7cPdepMGl2sBMsS6LRUDjIJkADStWSBgl/z5s1N9GUjGFgiJaIqInomDdEjhsbWuJFtwShhYPlBsipUqCA33nijTReEvTzDhg0zEXSmTJkSfpAK2y/TyOyR3SA6C370H4eBwbYRllvZrI2xDn5ErxgWF8GokSmhPX4sPUIaXYV2SM2zvEAfwMZHICZEnPQjkH2HjkiFvrPlj6PHjmsyufqFOAciWLIDRNIsx0ZmXdCdaDgzN7iGdnwFUmGTAUip/dTY4xNrP9B55m8se/VwpCy54kB9heUjsiI+S3E8kzEQ5LHMjz7YEpHI/kJG6Ad7t/ihS67tQATIEoFn8AMb2/1gEJu3337bBEZksYMfduyiiy6ygpfMNQQLTIIf7XTq1Mla5+fMmWPsGOSKecuPYJEslo0Q5I0bN85k0QnGsUPoKsGA7RIntmL8+PEGz+CHb4Hw+togm74H16SlD3XpVzyvVYJliW4YlcMSGr3sFELAp34hWQmccVJCNotsiooioAgoArEgEEYfqgTLUmPCqByW0OhlpxACWr/wFHoZ2hVFQBFIQCCMPlQJluUECKNyWEKjl51CCGj9wlPoZWhXFAFFQAmW6kB0BJRgRcdIrzj5CNjULyyUM4t88Xhs9QsZKUuLfOnKXhv2YLGvhQ8pYjmC4uQjqD1QBBSBeCAQRh+qGSxLTQqjclhCo5edYghEq19Y9tycMqXd1ZIlU4YUe55S/UJu5MsuNskWL17cfK3KV1J8GcmHCbZfIZ5i0Gl3FAFFIE4IhNGHKsGyVKYwKoclNHrZKYhAUvULc2fLJPsOHZWjx/6SK4udI6NbVpQcWey+YIx2+jsQBHOEM35svzQ9BaHTLikCikAcEAijD1WCZalIYVQOS2j0slMUgaTqFy7etEvuHbdE9h0+KiUL5ZBxbSpJ/rOjH68QjWDxGTwHbHI+GBksztdRUQQUAUUgQCCMPlQJlqX+h1E5LKHRy9IZAt/9d6+0HLtYOP39gjzZZHybq+T8PCkfHpkcweLcrEaNGgkHqXKILYfbcmChiiKgCCgCkQiE0YcqwbKcA2FUDkto9LJ0iMBPOw+Y+oVbdh2UfGdnlnGtr5RLC54tX2/cJdv2HTJZLZYRM5zx9/nvyREsDk7kYEyqDrz66qumxA6H07I3S0URUAQUAc1gqQ5ERUAJVlSI9IJ0hsC2/x2SFmO/ljVb90mWTGfIWWdmlJ0H/kgYBV8b9qpXSmqVLpQswUo8ZMqxULOOMkIqioAioAgowVIdiIqAEqyoEOkF6RAB6hfe8fKXsmH73/XRIiWoXTii2RVSu0xhoQB3tMK4lB+hbiNHOKgoAoqAIqAES3UgKgJKsKJCpBekQwTYCH/tgDmy9X+HT+h9UL8wb/YzZdXwdjJkyBC54YYbTE25PHnymDOvKN7L3qudO3eaQt7UNaPm2mWXXZYO0dAuKwKKQLwQCKMP1T1YltoURuWwhCYUl1Gw+owzzjjtxprSye+HNq+U3yY9ccKYKRg+cuRIadKkidlvxf4rCBeb23v06KGb3E87LUm9AZ2u8yj1EDp9WwqjD1WCZanP8VKOo0ePSsaMGU/oxeeffy5lypSR3LlzR+3hn3/+afbIRBIADNm7775rMgycsm0jifuybt06U72dM41o31boD9XmEZaVOIjy8ssvt73dXBe08ddff0n//v3NstMFF1zg1AYXgwNjGDFihHTp0sXr+AD6QBX69evXmzZy5Mjh3A9u+O233+TFF180+5POOussrza46YsvvpBy5cpJ9uzZvdvgRojRlz8flk6Tl0dt54VG5aR+uXNPuA5sXHQj6oNOkwtSAxfeT6zHXezfv1+WL18uVapU8UaWDxmeffZZeeihh7w/XsB+Dho0SC655BIzl310Bjxoo3379nL++ed7BTybNm2SiRMnyhNP/B04YB8CW2UL0IoVK2Tjxo0Jy+WR9s6mDXRjzpw5ZgzgEUhyviCpNjkWZfr06XL77befYPdp32ZMu3fvlm+//VaqVq16wiNc+mIzZq6Jlw+1ff7JuE4JliXq8VKOCy+8UPbu3SvnnnuuFC5c2PzJD8XnJG2yBB06dJDy5csn29O5c+dKrVq1zH1FihRJ+L311lvmhO127drJ/fffLwULFkxxtBi+jz/+WIoWLWp+fAkGMYHoPfzww6YvWbKkfGYSz8uVK5cxHuzHwTjPnz9fbr75ZkNObMkay009e/aUEiVKGGO2bds2adq0qXTr1s38P1uhbAvvbs2aNYaQPPjgg/Loo4+ajIutYFArV64shw4dMieUP/XUUwZPW+IaPOfxxx+XgQMHmvfDctudd97p7Ggw5oFRfu211+S6666zHcZx182bN09at24tvUe8KU/N3Rm1jUn3VparLzwRs44dO0rbtm2NfhIU4ABZIuTLwpT2bIHfqFGjzOnv9erVkw0bNhgdiUX4grF69eqxNCEzZ84U5iQ/X1m2bJmMGTNGhg8f7tuELF26VO666y7hHV9//fVe7QTvGDJDsGTjdCMfhKN+55135JFHHjHlkLp27SrPPfecU18gAq+88oo888wzhtBjP8h6li1b1rodlp+ff/55c84a9oT5nzNnTlm4cKF1G8z/AQMGGHKFXcO+8f84tw3CFk3AggN00e9Zs2aZeZctWzZz5hvY7NmzJ6ptxH7w/GHDhhn7/sADD5igC9LHr3bt2iaQS0mYV+DJj+c3bNjQPD/4/fLLL/LJJ59ItWrVkm0G3cK+UomhTp06Zjmf+/j997//NX9iwxlbakq8fGhq9jG121KCZYlovJRj69at8vPPPycodqDkkJJIBa9fv7688MILSWZxMGJM0MiJxt/ZDwPhQbJmzWqWbyAXmTNnTnLUu3btkh9//DFhwmPAMLCB4NhxGjfddFOyqBER0hf6jtPEiRJBIxj6O+64wxiY8847L0XkibwxgCtXrjSG6PDhv/cIsf8HotK5c2fJlCn6KeRkr1566SVDbBDGjkEZPHiw2U9kIzybDMCSJUsMjgUKFJBrrrnGGFtIsa307t1bxo0bZ4gePzaM47ySymAm1yZ6yDvEoGP0wcaHVDAWyPTuPXvk81w3y479R+SvZB56ZoZ/ycLuNeSc7MdnQnn+l19+Kd99950hWTge/vuKK64w5DE5gsVZWWyC3759uyHdkF6ycr5EIug2JCIyI2D7XiKvg5Twrl3JSNAGkf/o0aOldOnScu211zoTaNrBBkDAyV4TOFWsWNF5KJBNnChzDmcJQXHJvDIO+sC7Yi7yY2m4V69e1n3BWT/22GOyYMECQySwRYyFd52cDUrcOONAR9CxwAZA9Ag6CeKiyZEjR8w4IIZkbAIbADaQPMhatEww9pkAkxUBdB4hg3zfffcZIk4gCWFLaQsBc4NgBB0NhDlC4BYEtGT6sW9JCWPnHUIII206QXFkUM3faS+p4O+nn36STp06ybRp0xIewVe/6HtkcM/fsc/RAvJo2Cf+93j5UNd+pOX1SrAs0U5L5YCkYEQwsGQG+KHsLml1lrMwIizNYUhKlSoVNcJKDMWUKVOMsYeQ8GPiufQB4wYhY9JjyDBE0TJgifuwdu1aE80HWQUMkEsfaO+rr74yBgeDTAbK9X4iT5wFkS9Le673W6rYSbssWu1COnZx/uwyrs2VUjhXVqt+JnduFvpEVpEo+5ZbbjGOi5/K6Y0AxITsE5lo7IirHeB+CDkBEwElAY6LcD8BJEEfP4KASy+91KUJk8EmcCTwI4CFMNkEecFD6AN2BLLIjxUHMlAuArlavXq1CTzJrEM0sau2Qh/IghH0kmmFdBJ8psX+0rT0obZ4xPs6JViWCIdROSyh0ctOAwSSql3IOVhtqxaTVz//UX7732EpmCOLvN6mkpQoGH0PWlIEi8ChRo0aQjaWSJpIWwnWaaA8OgRFwAKBMPpQJVgWisElYVQOS2j0NHgAJAAAIABJREFUstMEgaRqF3KS+y97DkrLsV/LD9v2y9lZMsqo5hWT3I8VCUNSBIuN0uwXJHvFvyvBOk0UR4ehCFggEEYfqgTLQjGUYFmCpJedtgjs+f0PuWfcElny0245M8MZMuTuy6V26ULWpXXY+M6SIMu9wb41JVinrbrowBSBExBQgqVKkSwCYVQOVQdFIBKBQ0f+lIcnL5ePv9tq/neOLBnlf4eOJlySUmkdPmxgQ3/kXg++iOS/2aPHhxEqioAicPoiEEYfqhksS30Oo3JYQqOXhQgBlhHbvL5Y5q3bfsKoUyqtw6f2bK6NlJo1a0rz5s3NcRGuG45DBLkOVRE4LRAIow9VgmWpumFUDkto9LIQIWBK6zz3qWzde+iEUadUWiepT+p1iTBEiqNDDT0CYfShSrAs1T6MymEJjV4WIgR8S+u8/vrrJ6CkBCtEiqNDDT0CYfShSrAs1T6MymEJjV4WIgSmLf8lptI6AVTRTn1v1aqVOZQ1Ujg/y+X07hC9Fh2qInDKIxBGH6oEy1Itw6gcltDoZSFCIKUMViQMyZXWCa6hDFRKp75DsDj9m1IxgXBYbHInXYfoFehQFYF0iUAYfagSLEtVDaNyWEKjl4UIAfZgVfn/PVjJldYBjpebXCF1yhayQiapM7MgWJQDolSLiiKgCKR/BMLoQ9MtwaIMDLXg+DKJMi58Bp5UVfBALampR5FeyiRQdqVfv36mErmthFE5bLHR68KFQHKldfiKMCBd//qXyJN1SkrbKsWilhZKjmBBrshaUUuPOoXMWcoVHSd794rs2yeSVG3Ln38WOftskZw5w/WCdLSKwCmIQBh9aLokWG+99Zb5vBuSRUFVKotTYPX7779PsgAoxUYhX3369DGkiiK0PXv2NEVH2ddhI2FUDhtc9JpwIpBcaZ0et5SUBT/ulAkLNxtgWlx9gfSsW0oyZjgjWaCSIljMcYrwXnDBBbJx40YTHFGAmANLEwoFQ65q1RLZtk3ks89EihT55xlbtohUqyYCIfv4YyVZ4VRTHfUphEAYfWi6JFiQIop1jhgxIkF9SpYsKbfddptQjiOx3H333abUDfs+AqFKPcWUJ02aZKWCYVQOK2D0otAikFxpHQrKjp6/Ufp/tFr++kvkxhL55d+Ny0uWTBmSPPk9ucLQkcCSqYZsTZ48We64446//4kM1fXXi/z4o0jx4v+QrIBcBf9/3rykM1yhfXM6cEUg7REIow9NdwSLSurZsmWTqVOnHrfER/FYKoTPw5gmEs7g6dy5s/kFMnToULOs+NNPP1lpWlorx6hRo6REiRKmanzGjBmt+hh50Y4dO2TChAlSr149syTqI3PmzBEOiORAyJyeyyyQ4DJlysjVV18tGTJkcO4GjpV3zTiKFSvmfD83UPtu3759Zhxns2TkKBCGl156SSpUqCBXXnml1zh45Jo1ayRr1qyGKMQihw4dkixZssTSRJrc+9GqX+Xht5bL4aPHpEjurObPbfsOJzw7OPm9dpnCJqtMgJSSXHzxxXLPPffI448//s9licnU+PEizZufSLrSZMSn5kMOHjxo9C4WwU7SDjbJRzi1/+uvvzYZyA4dOkRdNk7qGdjgmTNnmjnMXPYRsqHTp0+Xhg0bSsGCBZ2bYBysiKxatUrat2/vfD837N2719ikPHnyyI033ujVxg8//CAffPCBNGvWTPLmzevcBtngr776ytik++67z/l+nxvS2of69DG170l3BOu///2vnHvuueYLJMhHIP379zefda9du/YEjNjHwTk8TZo0Sfi3N99805wgffjwPwY/8kb+f+S/oRyU9GBy5MiRI9XeQ9++fQ2JSSwoPwaJr6Zq165tCAZGhf0oiYXJBgFILHyBRX8xitzPD6KTHGGDkGEAA+ErLjJ8XM8eGO6vW7duioSNidulS5eENvgcn/pzGJM6deokjCMahrzft99+27TD8u/+/fvNXrugD5UrV7YiOkOGDJFFixbJlClTJFOmTFKtWrUELDiHyUZ++eUXU0dvxYoVki9fPvN3cLj55pudCBvjuPfeew3hDN4HhC2yfIxNfxg72dcAi6QO8YzWDu8EnaGNm266Sc4666xotyT57++//75xVBUrVkxyHEs375YWY76W/Yf/KakTNBSc/L7pubqmLw888ECyfWCOMO8JPFq0aHH8dZEkK/iXyIyWw8jWr18vW7ZskerVqzvc9c+lx44dkyVLlsjWrVvl1ltv9WrjwIEDMmvWLEMEICNk611l8+bN5n6c8O7du52Pt2Ac2B/a4AehQH/btm1r3RWCGggR98+YMUO2b98ul19+uXz44YfmXdoIJZSCPnz22Wdy5MgRQ45YxaD0UjSBEHG0R4DFd999Z5aeIerIXXfdZbaZpCTYfghRMA50kWArcs8v+4FTCoTZ+xv0gSQAdrJx48ZSoECBhEfTJoQpKeF6iF2ABcSIoBcflljQmYsuuuiE/89HI5HjQC+wP5F+NLgJe92jR49o8Dr9uxIsJ7hOzsUBwYKAQBYCYQPs+PHjDSNPLBAsyBcKHcjEiRONsSAbkJQ8/fTT0rt37xP+6WQQrEhiklQmKRrBYvk0kmAll0lKjmBBTCIJVnGcVzKSHMEiygrGATHxIVilS5dOIBUYWJuMWCTBQg8CggVB8iFYbLIOCBbExCUjFhCssmXLJryPSpUqeREsiDfvlL74Eiz2MNJGjRo1YiJYhQoVMg4nKaLIMmLl/nNk+/7jA5ng1HfU6NfXH5LHu3WXRnc3NAEFP+bfnXfeKbQ9bdo0MxeZezj+pLJdq998Ux5v2lTIXx8TkctKlZIpH33kjE1qECyCFDKvsRCs2bNnG2cK6fQlWJArfrt27fIiWIsXL05w6CtXrvQiWAFRhFT5EizGABZz5871IlgEWAG5+fbbb70IVkAUGYcPwfrxxx+PI1gQRReCFWTOAoK1evVqZ4IVZM4CooheKMGKL49JdxmstFoiTKsMVnKvl0gdYpRSxikl1WCJEBIZLeOUUhssETIJyZxFI0TJtcMSIYTCNuOUuB0cFZksxhHLEiEZMNeMU9AXlgghI8ESoWvGKWiH7CpLe2FZImTcyZ2bdWjzSvlt0hMnqE3Lli3N3kqWC5ctW2aOaiBrS5asY8eOcv/9959AsDbMny9XVqsmbY8dE0IovhlcXbCgVJoxQ/KXLx9fC5oOWk+tJUKCUd+akUFGDPIJaWTfnasEGTGCGuayj7BECGFr0KCB9xIhGTEIZyxLhBA2skS+mVIyYoyjadOm3kuEZMRISJBVTwvRDFZaoJwKzyB7gbPD6QVSqlQpqV+/frKb3JmcpKkDYdkNw62b3FPhhWgTikAyCKTWye9B8ydsiN+yRRqVLCmZDhyQ8WRWdQ+W6qIicEoioATrlHwtJ3YqOKZh5MiRJsNDtufVV18V1tfJDrBHgzX+4ItClhOvu+46c44OJIwlB9aX9ZiGdPLCtZvpFoHUOvk9SYL1889y7LrrJOfGjdI1d275okwZWbZ6tRQ791zp/uuvcttvv/39daF+RZhu9Uc7fvogoAQrHb1LslcDBw40ex3Ym8NXgZAohH027K+JLDDLMhOkirXw4KDRhM+9LcYdRuWwgEUvUQRSRMDm5PcMZ/xLZjxUVS4tGP0Lz+MyWHv3ytbq1aXQ0qWSLWtW6duvn9xwww3y8ccfyxNPPCFzCxaU6/liU8/BUi1VBE46AmH0oeluD9bJ0pIwKsfJwlqfe3ohkNzJ75GjPDtLRhne5Aq5/pJ85n8nd8ZW4iXC/65ZI+eWLGk2DPNlcCBsMD/rX/+SSW+8oYeMnl7qpKNJpwiE0YcqwbJU1jAqhyU0epkiEBWB5E5+f+SmS2TKki2yeNNuOeNfIk/VLSUFc2SRZz74Xn7d+88XvsmdmcVHLxwx0atXr+M+K+esLLYAcNyHiiKgCJx8BMLoQ5VgWepdGJXDEhq9TBGwQiC5rNTho39Kj/98K1O/+TnZdiLPzEp8TAPn+LDszzEtgVASi8M1I7NaVp3UixQBRSAuCITRhyrBslSlMCqHJTR6mSIQMwIchTHq8x/l2Y9OPMcu8ZlZg59/Xm6sXt2cl8UZYBAuymFRzYFjAPgxX/mohb1YgSR3NAB7OSMPx415MNqAIqAInIBAGH2oEizLiRBG5bCERi9TBFIFAZ8zs4IPWcaOHWuWCLdt2ybnnXeeKYGVONPF6eqRQm1SDhvmoN6UDs9NlcFpI4pAyBEIow9VgmWp9GFUDkto9DJFIFUQSM0zs2wKSHOYKefjcaCuiiKgCMQXgTD6UCVYljoVRuWwhEYvUwRSBYHUPDMrGsGiziaZLkpoRdYoTZWBaCOKgCKgS4QiogTLciIowbIESi9TBDwRsDkzq0COzPJVtxuFs7NSkmgEi31XAwYMEGqbUr5IRRFQBOKLQBh9qBIsS50Ko3JYQqOXKQKphkC0M7PyZD9Txre5SkoVzpHsWVl0JhrBKlGihFCs+8UXX0y1vmtDioAikDwCYfShSrAsZ0QYlcMSGr1MEUhVBJI6Mytv9szyl/wlO/f/IVkynSFNrjxfPvp2a5JnZdUqXShFgjV//nxT9WH58uVy+eWXp2rftTFFQBFIGoEw+lAlWJazIS2Vg8rzfDaeO3duKV++vPkVKvS307CV9evXy0svvWQcSNmyZYVi2JwL5CLUfPzll1/ksssuMz/qO7r04ciRIyZDUKRIESFjcPHFFzsvx6xdu9Z8ds85R/yoQO/SB8bLYZNnnnmm+aQ/X758csYZZ7jAIIcOHTI45M+fX7Jnz+78fKeH6cUGgaTOzNp36Ig8OGmZzF+/I0mUgtkxotkVUrtM4RO+IuSmzz//XJo2bSrswUI/E39puH//funWrZu89957snPnTlNy66GHHpL27dvrm4kBAY7hAFu+8sSOuC7LYhO3b98umzdvNu+Ns89chOfzPjds2GB+FSpUkEsvvdSlCWMHsKtr1qyRLVu2yIMPPiiZMmWyboM+YEeomcuPPYANGza0vp8LDx48KN9//72sXLlSVqxYIR07dpSLLrrIug36wLI4wcWyZctkz549puScq020fmDEhWnpQ336F497lGBZohov5aCW4s8//2yUnsnHj79zCjWfjwfCF0/Dhg0zxawTC6dZb9y40Uz6yN/EiRPNhEQgV3zG/uijj0rmzJmTHDUGiFqNmzZtMr9FixbJO++8k3DtJZdcIsOHDzdLK8kJhpC+0HcMGUW4mcwIxIj6j4wD45KSYIxXr15tDEmHDh3k8OHD5nLOPuKU7s6dO1sZNwwyfR40aJC5H6IFWXz++edN3TobwbBWrVpVlixZYhxDgQIFjIEfPHiwFC5c2KYJc83TTz9tNlVD0vhxGOYjjzwiGTNmtG4DPeQeDCPGEmyqV69ufX9w4eLFi03NPtqhPZyeq/B89BRncc899ziNI/JZf/75p2nn+uuvj9qFP44ek/J9ZsqBw3+ecG1wXlbe7GfKquHtZMiQIeYdB+dlcQP63KhRI2nTpo0pEp+YYNWtW9c40NGjRxtyNXPmTHnggQfMfRSKjyZHjx4196JjVapU8SLj2AD6nitXLqlVq5ZUqlQp2mNP+PdPP/3UBFjMOdqhvRw5cli3wziYIxBN5iK/li1bGh22FewY9mbBggWG0DKPKlasaN51cjYocduM47HHHjM6hp1DunbtavSegCmaQMYY+3PPPSe7d+82l/NssCHwLFmypJmLKQn2+eGHH5Z3333XzDmkXLlycu+995qgD4JTrFixFEnKrFmzTJ8haIHceeedctVVVxk940db6GpSgv3jffTt2/c4m06wQAAb+aMv2LnEwtEljIN3Ggh9R0+xY9gAfvwd+0xQn5oSLx+amn1M7baUYFkiGi/lYFLRdqDYgZJ/++23MmPGDBNtY+DJYiUnc+fONYaYSRE50SZPnmwmI9H3fffdJwULFkxxtM2aNZNPPvkkYcKTsaGodpkyZQyhod5btMgTI4pBx/gxeQ8cOGCyBjVr1jRZOciATQaK5/bs2dNkviBsRL70j+yCS+SJAeNTfMgahpRsBEY/OUOWFEBEipUrVzYOggwY/QLPpIxYSgBDDIkWeUcUJ4ds2mAR2SZkBKKLvPbaawkFzi3VOOGyefPmGZJBEfSUdCtau0TQkCscjq8EWYWbb745ahMpfWl4aPNK+W3SPweLBo1BDILzsiBVOBkCG/Q0McHC0UF8eT+BkO2oU6eO9OnTJ2r/uIDMwJgxYwyx9xXawAHzjm2IZ1LPYd61atXK6Ni6deskQ4YMTt2BTEAqmPsEbhAbiIqLQIrA/JlnnjEZKOwHgRvkxlYI/CBJL7zwgrEnkCLI4sKFC22bMKSZvk+YMMFkoiEh2AQIi012Eiw4zoNADdLNEjMlmggkCeIIVGxsI5UFCDBXrVpl7Dp2LQhoseGR1QiSGhxnub3yyisycuRIyZYtmzlgNzKohgxiw6tVq5YsNugW9pUAHL0uXbr0ccE9BD9nzpzHBfjWQKdwYbx8aGr0LV5tKMGyRDZeykGkmFQGg30iKD7LhNEEp4sRjUzzkknCedSrV8+aCCTuC0aZyWtLioJ+0p/AmBMtYcxc97oEbWDYnn32WUM0k8reRcMGHDCAGCQi4bx580a75YR/pw8YPowpbbhkAiIbI4rH6Xbv3t0YR18hAwChiRZ5R2t/x44dXnhEtgs2riQxWr9S+vd4n5XVrl07sySN3hLJf/bZZ0LhaA4lJdK3ldTAJTXeD5knMsgufU88RkgNX1yyJAY58RHsJxlftgkQKPnoDHjQBu+IAM5nWYssDsSCOUgfIm2V7bgIuAj6WFVAXNtAN8jMEWgFwRLtJOcLkuoXxPWDDz4wfUhs92nfhkyT0SOQJzufWFz6YotbvHyo7fNPxnVKsCxRD6NyWEITissgaj4GPRTgpOEg431WFo6LpZ833njDBD68c5b8mjdvnoajPH0fpfPo9H230UYWRh+qBCuaVvz/v4dROSyh0csUgTRDwOasrAz/EpnS7hqpcEFu56McWLaBXLFPZ9euXWb5k6V2ssE1atQwe4lY6mWZiGUhlor4kIPMjIoioAgkj0AYfagSLMsZEUblsIRGL1ME0hSBaGdl0ZlMGf4l9cudK1/8sEO27j2U0L9CObNIr3qlJKmjHNivePbZZ8tdd91lvu5iDxTEiqUY9rawTMjHDXw5xoZjlorZG8THAnzZxZ4cFUVAEUgagTD6UCVYlrMhjMphCY1epgikOQJJnZUFeepS81KZ9f1v5oyspCSloxyCOc7HJbVr1044SwtixZ4b9s/xgQX7VvhKEGH/DfuS2EBNtktFEVAElGAFCCjBspwNSrAsgdLLFIE0QiCps7IooXP0z2NyRZ9Z8r9DR0/oSbSjHPj6is3UkCmOeGBjN0eNkKliozhfv/GxA1//BsLn7HwlG3ypmEbD18coAukKgTD6UCVYlioaRuWwhEYvUwROKQRiOcqBz+D5wow9VpzjxJeEHOvBUQV8WcVeqyuvvNJ8Ks+SIMSL6zligs/jVRQBRUAzWJrBcpwFSrAcAdPLFYGThIDLUQ51yxaWrzfukm37Dkn+s7PIlcXOSSgkHVnPkKNCOBOKvVZ8aQjZ4gtDDt0Nvi5lvxbHeEyaNMmcP3fjjTea84aiHap7kmDSxyoCaYpAGH2oZrAsVSyMymEJjV6mCJxSCNge5dC5xsUyefEWq3qGHALJCfCcqg654ktCThfnAEvOieOEco4gmD59ulkqpKQTmS++RORcLZtziU4pELUzikAqIxBGH6oEy1KJwqgcltDoZYrAKYWAzVEOyXXYpp4h93IqOZvbObSSM7I4EZ9TtTmQlj8Rlhg5TJJN8+zRUlEEwoxAGH2oEixLjQ+jclhCo5cpAqccAskd5QCB+ruaXNISbRP81KlTTbkkslUsAXKsA9kpasWxLEjpEfZlBeWcqGAAyeJE9aVLl5qyTZygTZkeFUUgTAiE0YcqwbLU8DAqhyU0epkicEoikNxRDo0qFZGhs/8puhvZ+Wj1DP/973+bepJkp6hFSe1QNrmzFPjkk0+aTBV15oJzsdj8Drmi3A7CtUqwTkl10U7FGYEw+lAlWJZKFUblsIRGL1METlkEkjrK4YOV/5VOk5dH7fPQhpdLwZxZT9gA36FDB/nwww+FmpDBBnaK+LZu3docSMrSIcW0OeWdTfAc6UAtTOoacvSDEqyo0OsFpyECYfShSrAsFTmMymEJjV6mCKQrBGw3wZ9z1pmy68AfCWPjINN8qybKsvmz5PPPPzdFzAOheC9LhkuWLDEb3sliUaydJUIK8vbu3VsJVrrSEu1saiMQRh+qBMtSi9JSOY4cOSJNmzaVbdu2mWg4+LVo0UKKFi1q1WOWKPiKKWfOnHLOOedI7ty5TQX6Vq1amTprNjJ27FhZuHChZM+e3fw49wfngSOxkUOHDsmwYcPMadeUFwl+LJfQFxvhUEecFm0EP/pPOROWaGzkl19+MVkD9r8EvwIFCpiDI12EKvU7d+4U2uNXpkwZs7/GVWiH85b4Ao0+gIuPsPTECeP0w1fYNwQ2nPfkK8wN3kWWLFl8m5C9e/caXY1FeLfsiYomPpvgeWe7Z4+U39ctkFcmvy9tb7n2uMfQ/7x585p3AQ5fffWV/PrrrybDFWxyt81gsfzIfM2aNWu0oST77xA8CCDz1kewQWToSpQoIQULFjSn2rvKli1bDNFkGZUfX1a6tkMfqP/Iew1+YEN7NsKRGnyAwB459soFP+zYRRddZNOEbN68Wd5//30Bk+BHOw8//LC1zs+ZM8fYsQMHDpglY36VK1eWNm3aWPWB/vN1Kn1hvrIkjc5RsqlUqVJWbWzatMnU2cSvBL/gQw1fG2T14P+/KC19qEu/4nmtEixLdOOtHEwYJuDixYvl66+/NgaaE6WRqlWrmn0fTMiUhMm/cuVKcy+/adOmmY23GDWWL/r27SucOh1NMIw4Az45Z1MvArnq2bOnMSo2xOb33383yyTPPPOMIWkIZIRzgerWrRutC+bfcWrcy74WnCcCBuPGjZNLLrnEqg0uGjVqlNx///0J10NeR4wYYeWMuQnjxj3ggcEGz379+km3bt2sHQZ49OrVy7xfnA6GFmzr1atnPQ4uXLdunbzzzjvmIMzVq1fL3LlzpWTJkk5tcDGGmnfB4Zi8a19yQyZn0KBBxgG5Os+g0zibLl26mHcSi3Tt2tXMExtJtp7hX3+JJEEmds58WQ58P08K3NFDCl1QXJ6+9TKT3SpaKJ9ULXmuOTuLjBWkmdPeWUZk2RBCHhzTYEuwcJycKI/eU3zaNhiJHDe6wXIkusE+MOoquswZ2kLfGzRoYEgaY+OICjJx2bJls4HYzF/OD2NvGoLdILiaMGGCdZDHvG/fvr35WjMQ5vO9995r1QcuWrt2rQksAzsEUWP+XHXVVdY6Sz1K3gW2MbBD2MPrr7/eCg/sBsEm9pC5j4AteNCGTaAGYe/Ro4e89tprBlsIeP369U19TH5kSzNmzJgiLmDAPJk/f765jqCAezk8l/cL8SQgj4fE24fGo8+xtqkEyxLBeCkHhgInuWHDBhNxouQoO8Ro8uTJMmDAALnllltSNATLly83J01DzJhgV199tZk0RH+QLr5qKl++fNSR4pw4oZpIp0KFCsbIk8XCQONEbaJGnAPZJSYwWSLageh16tTJGBfbiJpDGx955BETaZEFoE99+vQxWTmXM4UgRhAZcIEAvPTSS9KyZUtrwwpoK1asMEQI40r/cZyuxIh22rZta/CkDQgJDtBVyG5ccMEF5nDL2bNnG/LtKhhnCACEhjp7nPHkI2ThqMn39NNPm5IyvkIdP0jIlClTfJswET3EhgDD1kEktQk+49GDcjTjiZmjn55LOijIU+dhubhKXbN0uPTzmSa7S8YEQs3+qzFjxiQ4T1uCBQi8F75IhFygsz7kFfJLH/ji8aeffvLKUrL0CQmAFJBtYTyugq4zDyHSEAmIG2TAVtBXsjcdO3Y0xIJzyCAnkaQrWltkvwcPHmyCRFYBgr1y2Mbbb7892u3m3+n/U089JXzoALFBZ8muMQd55zZBCs8lmJg1a5bBE52gHfpEEAj5iSbLli0zthHCeu2115pgesGCBQYXSCNjKleuXLLNgCGEkQCxcePGhqjhOwj+yIiT2cP2UyIqNSVePjQ1+5jabSnBskQ0XsqBwyWrBLEimgiEJShS8zZkAqfLhIFUkS4OTpYOitLaGmeyGRgiJi3Ggr9/+eWXZrOurTB5IWlMUD5VJ3rEOEO0XIQlzh9//NE4LDYUE4kHBXZd2sG4E32zyRiDxpKHq9B/sBk6dKhpx6cfPBPDCLnDcGEIfYV+sKQXnLfk086ePXuMzjRr1szn9oR7cNzoSizHDqAzZCpy5MgRU198bk68CX7jb7vliffXWjeV1NIhSzjYC4hwpLgQLO4j00O2NxZsCdIgwmSefWXRokWmkDVnfKXkuFNqn0NZIRAQAzJzZMRdhawcROu+++4zh7wGX2a6tINNJMtI0MqyXfHixa2X2ILnsNJAkBTYN94rY7O1s7QD+cXOYt8JSgmG+bttsIPegQG2DcFWgw9kC52xWfKHkEEQIwNnzndjfGTLbJcvbfGPlw+1ff7JuE4JliXqYVQOS2jSxWUYJBcDmNSgbPf4pARIUN8uFtAwpjbEO5ZnhPVe2w3wAT6RS4eFi14o73esYpYLIZ3BHioIDj8cFxlrnCvLVCz92WbbYnkfqaEvBHw2GeyU+pka8yc15nEsWOq9/giE0YcqwbLUlzAqhyU0epkicNog4LoBPrmlQ/bJsO8HYQmVvUuJJfKa0wZAHYgikAwCYfShSrAsp0MYlcMSGr1METitEEh2A7zFKF9oVE7ql7P7ws2iOb1EEThtEAijD1WCZam+YVQOS2j0MkXgtENVdpx7AAAgAElEQVQgqQ3wNoOcdG9lufrCPDaX6jWKQKgQCKMPVYJlqeJhVA5LaPQyReC0RCByA3zeszLLo1NXyG//O5RkLUNOiSqYM4t88Xh1swdLRRFQBI5HIIw+VAmW5SwIo3JYQqOXKQKhQCClAtIAMKLZFVKrdPRz5kIBlg5SEUiEQBh9qBIsy2kQRuWwhEYvUwRCg0ByBaR71Sul5Co0WqAD9UEgjD5UCZalpoRROSyh0csUgVAhkFQBaV0WDJUK6GA9EAijD1WCZakoYVQOS2j0MkVAEVAEFAFFIEUEwuhDlWBZToowKoclNHqZIqAIKAKKgCKgBCsRAkqwLCeFEixLoPQyRUARUAQUAUUgEQJh9KFKsCynQRiVwxIavUwRUAQUAUVAEdAMlmaw/GZBWhKsY8eOyeHDh00Bz8hflixZTA0zV6F+1x9//CEHDx40RVYzZcrk2oS5nn5R+NinD8EDaYO+MBZfARPGlDFjRt8m5MiRI944BA+NtcYbYwCPWOoKcn9Q3NsXjNRoI9YacbHez9hPhTZSow+p8T5ibQPdRq9iqd8Z6/zgncY6TylozBhimWOHDh2SM888M6Z5Rh1GbK/vXAUHbC/1LemLz3uhD4wFLCJ/mTNn9u6Xi81JSx/q0q94XqsZLEt001I5mExUiv/4448TenfnnXfKiBEjJF++fFY9Xrt2rakYT5HZ33//3Uyovn37ymOPPWZtbKiV9tJLL8nu3bvNj8k9YcIEueGGG6z6AJHimVR5p1gshY6LFi0qkyZNkkKF7M4L+vnnnw0O69atM7/169dL7dq15bnnnrMeB/349ttvTbHdxYsXy/Lly6VHjx5Sv359q3EEF0F6qVY/c+ZMWbFihbz88stmPK4CFhMnTpQff/xRhg8f7kUU6cvYsWMNqXjggQdcu2Cu517e8cUXXyxVq1b1aoObXnnlFWnYsKHkzp3buw3G0qZNG+/7ufHNN9+UJk2axNRGrP3YtWuXvP3223Lfffd594Ni0Bs2bDC1DH0cKQ9GN3HmrVu3Fhyoq2CDOnbsKBdeeKE0bdrUq9Dzxo0bjW6WK1dObr75Zrnmmmuc+/Lee+9J//79TRsVK1Y0v9KlSxuSYSOQvK5duxobcskllxhd589atWrJeeedZ9OE/Prrr9KoUSP56aefpHDhwgaLkiVLGhti249PP/1UmjVrZggO84Rfhw4dzPuxEcYxaNAgeeqpp0xQhi0uWLCgfPjhh3LppZfaNCHbt2+X9u3byzvvvJNwPTi8//77MQebNh1ISx9q05+0uEYJliXKaaEcP/zwg0ybNk3+85//yIIFC8xEOueccwzJufvuu62M7d69ewWj9NZbb8msWbOECA6jgvPBONkIk3nOnDnGgdMOcv311zsRI+75/vvvpUuXLjJjxgzTBg4DkuiSvdq2bZtUrlxZMNYIxrZbt25WWARjxbhCpiBaEM3JkyfLXXfdZQOFuQYi0qdPH0PqIKvZsmWTzz77TCpVqmTdBoRo6tSp8sYbb8js2bMlV65chuidf/751m1wIe2MGTNGnn32WfNuIZ0+GUVwvffee00fIHq+Ef6oUaMMLhACX0FPCAaCd+zTDo6rWLFismnTJmcnHvk82kBfcaC+AilBR8HXR5h/9OOKK64Q8M2fP79zM2QrIBJkebt37y5t27Z1xgVCUb58edmzZ4/UqFFDWrRoIQ0aNHBq5+uvv5Zq1aqZ7Dnz5vHHHzckwYU4Mm8aN25ssvkQGmwkxMBWmL/MlyeffNLcArYLFy50whX9ateunYwbN860UadOHRk8eLCTngREDQKNYNMJKm688Ubr+UeACOEl0OTd3nTTTaad2267TXLmzBkVErDA/kHuCJqZ91dffbW5nx+6Gy9JCx8ar777tqsEyxK5eCgHyr506VJDiPiRdapevbpRdJx37969TXYgWrZn//79Mn36dEOGPvroIylVqpSZdBgknNawYcMke/bsUUfK8zEgkACcd/PmzWXVqlXG0D/zzDNWmRYiXwwgETTZHgwyZA2i9fDDD1sbVrJdQ4YMMeNnPN98840hFi1btow6juAC8CXCw8GAA+QE40I20EVwMDhM+kJWgHdVr149lyYMSSOSxigjYESW0kVo4/nnnzdYIq+//roTHsGziGRxUOgexJFI3EemTJliInvwxAn6CGPCAX/33XeyY8cOnybMPZBoMpv8WbNmTe928uTJI2XKlJG5c+da62rih0HeCZLI1JLZ8xHeS8+ePc3cY0y2mevIZ6EfQYYEvXvkkUecx4Su33777aZZst8DBw50boMMCW0QMN5///0yYMAAE2C4CFlBdI3grHjx4oYwQXJciBp43HPPPVKhQgUT/EGYOnfubLJSNoKuDh061MxhSBE6T1YOssJcttl6gV2FYC5btszo2fjx441dhbxi22yyUdj7Tp06GRwgSNh9VgmY09h9bFM0ew/ZI8uKj4EE857JsvH8gGyhey74RsMwHj402jNP9r8rwbJ8A/FQDiYsShwoNQ4iiEIgKkw8GwXHGZDOZ3LxCyYp2SybqCaAgCiXcZJpwknx/M2bNztlWYiKrr32WmMwaA/HwAS+8sorLZH++7KRI0cax0LEW6JECVm0aJFT1Eob4EtmhOUJlhhYvrnjjjuc+sHFEBGiXzJpZBNIs/sIY2GZkiWOF154wacJk+aH+IIzWU7fPR04LDJPED1bB5O4wxB4iDf34zh9hKzivHnzTEYBx+MrLAHPnz9frrvuOrnssst8mzHjIaInY2u7/JP4YeguDgyC5JsZJMAg64rOuGRbI/sCoWEsLEfhyH1IGu099NBDhpBATNAZHyHgQnd5z/369TN2z1VY2sqbN68hJ5988onJNNrYx8jnEICCCYSEsWBzXXU3sGdkgcnyE5B++eWXTkvkgV2FcDEWyB+2evTo0dawRNp3gmOIFgEkWBO0RBPsI88PiCHtgQ9ki8w4Qa0rvik9Mx4+NNoYT/a/K8GyfAPxUo7U2BSbGm0EhCQ1JlRq9Cc12oh8tanRHptM2agai7AMXKRIEadllqSIDQ6PCDgWcSXgyT0rNbCNZRyn2r2phUdqvJ+VK1caQu9LxMGWzC97IWNdPkqN+ZNa2AY6kxrtpUYbqWV/6QsSqx1PrTFFzs14+dBTbf5H9kcJluXbCaNyWEKjlykCioAioAgoAikiEEYfqgTLclKEUTksodHLFAFFQBFQBBQBJViJEFCCZTkplGBZAqWXKQKKgCKgCCgCiRAIow9VgmU5DcKoHJbQ6GWKgCKgCCgCioBmsDSD5TcLlGD54aZ3KQKKgCKgCCgCYfShmsGy1PswKoclNHqZIqAIKAKKgCKgGSzNYPnNAiVYfrjpXYqAIqAIKAKKQBh9qGawLPU+jMphCY1epggoAoqAIqAIaAZLM1h+s0AJlh9uepcioAgoAoqAIhBGH6oZLEu9D6NyWEKjlykCioAioAgoAprB0gyW3yxQguWHm96lCCgCioAioAiE0YemuwwWRW4pPkqFdoQq5i+++GKK1dlHjRolb775pinau2/fPlMo17Wae1oqBwU4P//8c/nll1+Eoq/8SV0yiuFedNFFVjOVYtEUFN2wYUPCj0r0PXr0MBXpbeXQoUOmMCrFdFetWiUVK1aUhg0b2t6ecB21zCj0unjxYlPR/uKLL3Zug3dAYWvq8D3yyCNe9fwYD0WkKTLsMw46Dbb/+c9/pFSpUqbOm4/QBoVZGzRo4PQ+Ip9FjbiZM2dKvXr1fLpg7mE+8H5di3FHPvCnn34yhZELFSrk3Q/mpk8B4MgHLl++3BT1jkVi7QdFntGtCy64wLsbFBMuWbKknH322d5tTJ8+3RQ5z5w5s1cbBw8eFAqCN27c2BR99xFsBnP19ttvTygo7NrOlClTzBhq1arlNRbmyJAhQ8xcveGGGyRHjhyuXZD169ebIsyVKlUyBd/PO+885zYYB4XeqR+KzeD9utrhvn37CvaLmpDB7/zzz7fGljqoffr0MUWlzz33XFOknT8pkO77jl2ASEsf6tKveF6b7ggW1c9x1pAm5L777pOiRYsKBiU5GTZsmFFMpHv37qc8waLQZps2bUyFdQRjPW3aNLn88sutdQFixsSBYCFUV4cUuBBLMIUAYKQQiO3QoUOtC8ceO3ZMevXqJa+99pohiRQgnTBhgjRp0sR6HHv27DEEGiKxYMECU2x5/vz5UrZsWes2cHizZ8821eapFJ8/f35j7DA0LrJt2zajdyNHjjTP//DDD52LqvJu3333XXniiSfkzjvvlP79+7t0IeFaivg2b95cunbtKk2bNvVqg/Ewn1555RVDnH0ER3zttdcafM855xyfJuTPP/+Uq666ypBv3yK14FqlShX54osvYmoDHCA4GTJk8BrLzp07DbGhH1mzZvVqAxzat28vM2bMMLrqI8yzQYMGmfnmWxQcW4muPvvss4Ykub4b3sktt9wi6Crjuffee53HQ2DJO0FXb7vtNmnUqJHUqFHDmlSAHc9HN37//Xe5+uqrzft58MEHnWzhxIkTzXxjTJAS7PPTTz/tZAsffvhhY8sQyBWkyyU4IjFwxx13yGeffWbagGQRiEOUbGXFihVSv359IShCWrVqJWPHjnV+t7bPi7xOCZYPaml4D5E2kQiZEAwywt+ZNGvWrJFLL700xd6gmEQxp2oGC2PyxhtvyMsvvyzbt283kXD58uVNJJkvXz4rpHFWkLHBgwcLkwmjggMeM2aMUwT4zTffSO/evROIK9kz/tvFyG7dulUef/xxMyYEosWEdhEwwKhAZoiyyD7deOONLk2YCLRu3bqybt064/TQGReCxsM++eQTQzbJ+BAFf/fdd86R7Lx58wwhwoHnzp1bfvzxRycjTz94v88//7zJZpLhINhwiYQD4DZu3GgcDXoGKfAhFDibFi1amEwcJPyMM85wei/BxQQSrVu3Fsi0K+kN2li2bJnJgPGnbxaL5/Ne6E/Lli29xkJQQTaPOUc7LvMleCAZ7Dx58kiBAgWM3hUrVsy5LwSUEIH9+/cLmQ8yvq7vGDyKFy9u7CX29rnnnpPrr7/eqS9btmwxGRucK/o6depUqVmzplMbECQyR5D5Sy65RD744APnDPisWbOkTp06AraQPogj78lFsF8QKwS9B4+CBQtaN8F86dmzp3kfCKsvBKAumVvmGX1gRSZbtmwm6H7ssccMabJ9v8z5u+66y8wVMMC3PPDAA2ZMvvPPBgQlWDYoncRrYNoYCiZ+pJCVIbOCkU5JTlWCxdLbSy+9ZKLNyy67TDp06GCWr4YPH26yRjaGACI1btw4kw7HEBEtMen4f6SFbQ19QKzISLRr186kspkYjz76qPWbP3DggOnHwIED5aabbjJZp6pVq5pso4uQBbj//vuN4aD/9AEj4CI4mE6dOhmDioED02bNmrk0Ya6FtBLB0t6rr74qbdu2dW4DR3HNNdcI+ECAXTCNJCPoBESPuQDZchX6gZODABNBB8vtru38+9//NtgSQZOh9BGIAE4TR2wTJCX3jGeeecY4K/6EfPoIz0ffWXZZu3atF3HlueDBUiH4kCnxEd4LRIJlV4IK14CAZ6If2EWIDZkTH9KInnbp0sXM4a+++sqrHyyvMfezZ89ubBzEwlXGjx9vbCFC5pdVCdpzkcA+YgcIVMjcktlyETLYZNCZw5A2AkhwhuzYCpgSpKFvZMOxkS5Ei/6j4wSrZOTBgsCRfvCObfpC4Ip+4mvIpBHUEzRiG/l/vlnPlDBQgmWrISfpOpZTiArJREQKBhpyRUo7JXEhWEQKwdIYbaIcRYoUMXuhfNbxk+oXk5wsAoaLvQ5EET5LNUx4sjwYdowh5AxSxkS0JVb0j4lFlAaxItNCdMZEtCF4wfhYmmSvAtEzzh9itWPHDsmbN6+T1kCEMF4Yns6dOxuH57rfiWiVDCDZAAw0y4IsdbgKDo6ID90jK4gTd8E1eB5ZNO6jXyzX+mSeyOKCL0tHH330UdSsbVJjZXkA4jpnzhxDgsHXVdhDBtFE3zDGZAV9hPt4z+wPISp3zZAEz8T54iTQ4RdeeMGnK2bphcwT+xzJTpA18RGyPew/YomOZbFMmTI5N0OAAi5kayECPnu6mDMsAbO8hu6XKFHCuR8QYOYM2WPsCaTPVYLMDSQRO/3OO+84Z7F4JnOmQoUKJtDZtWuXycC47h3ivbDSAb7MY/QfnXGRwJ6xPEf2iOCCZV2XpbrArhLk0AeIFtgQaNtKYN9pi+0PEDfsL8EkdtdV0BGeT0aaQJBtGbZZMZtnKcGyQSkO17CWzfJTSoIC88KJQjAckcKGaTIK3bp1S7ENF4KVXJ9Sk2DRWbIH7GGBBPgKxobME3sTfBx/8FycHfvZXNLeifvMpOc9EZX5LhnRJiSA5Raf5ZHIPrEch1GOxVBgwFhmJLvoSloj+8KSIMQT4h4LSd+0aZOJoOmPr5DlZFM4/YilHYwmy5Qs3fsKmIIxv1g2dvs+P7iPrCAbqiFEscwjNnazETqWdwwRIFvKEpDvXi7GRVaC7BPz2ld4x+ACkWDJ0EeCeUN/CIh9SGfwXAJT7F0sH2bQFsvk2Cgf8hr0BRtFJotAORadgWgxr31JPf0BY1YesHe++yFphy0DX375pVemMSXdUILlM3NS4R4iAn4pCQaCCDetlgjTIoOVCtBpE4qAIqAIKAKKwCmPgBKsU/wVBZvcFy1alBC98HdYv83+DZcMVmIowqgcp7g6aPcUAUVAEVAE0gkCYfSh6fKYBtaZ2ZeAsHmSFG9wTANpbPYt8OVakEIm/cqPNWb2RLB2zlIEm1ltU6lhVI50Mm+1m4qAIqAIKAKnOAJh9KHpjmCx3yjxQaNsiA7Od2Idm307HEjJ2U9IcvupXI4NCKNynOLzVbunCCgCioAikE4QCKMPTXcE62TpUhiV42Rhrc9VBBQBRUAROL0QCKMPVYJlqcNhVA5LaPQyRUARUAQUAUUgRQTC6EOVYFlOijAqhyU0epkioAgoAoqAIqAEKxECSrAsJ4USLEug9DJFQBFQBBQBRSARAmH0oUqwLKdBGJXDEhq9TBFQBBQBRUAR0AyWZrD8ZoESLD/c9C5FQBFQBBQBRSCMPlQzWJZ6fzKVg+rn1N3iNHvKTPgIbVA2pnr16t6lNyhgu2HDBucCqZH9pVwM5SWo9+YrYEFdNd8SIjyfkh2xFDTlpH/wiKUECe+EwqyUMvEVzn2j/E4s8ttvv0mBAgW8m6AuIWVdcufO7d0G5TliKRfFg0+FNnbv3m3O2HOtkRcJXKzvg7Zi1QtKMVFAPl++fN7vlCNzKFZNmR1foTA5NUh9y25REopDqKlJ6ivUyeT5vmWCeC6F6y+88EKDh48wjk8//dSc7ej7TqjhyzsBC982fPoe3HMyfWgs/Y7lXiVYluilpXJAAKh0TjFeyATG8p577jGHq9oaGs4Lo6gqhaSpKwUxouBxkyZNLEcswqSmkDS1BflxwCttUSzVRagdSV/efvttUzh63rx5zkZ3z549plTS6NGj5YYbbjCFpF0FIkAhUwr5Pvvss1KvXj3XJky9L4qpcrYamPgaTA7GffHFF+WTTz7xrmFG8VveD4VrfYUC1tRQa9mypW8TpmjunXfeGVNNQw4MpuCtrX4n1VmKlNOGrzDvaGPUqFG+TZgiz7yXp556yruN1HgnlBSj4K9PcXM6jp5TX69Tp05CkXIfIQChDerM0g+fWn3Uan3yySdN4eu7777bq4YhWFDFAxuK/QvOTLQdEwWvKUJOkXb0nMLvroEuNpCaswRDYMKvSpUqTkHixIkTpUWLFoao0Ra/O+64w/qwbGo4UuR9zJgxph8QLQ7l5lzJWOadLY5p6UNt+xTv65RgWSKclsoBscGoDB061PTugQceMM7YZRJQOJeCy5xaj7z66qvGwLgI0SMFpMm0EIVC+JjULsJzcVo4L7IkFGl1ybhg1DCuL7/8smDoypYtazJxLlExkThGhWrzmzdvlvr168t7773nMgxzLX3HWIPpo48+atpzFQoKd+7c2fSHA3I7dOjg2oRxfpCqLl26GGfOeHwEkofjI7r2LTILJtwLsXAl3kGfIf/cS4FvF92IHDNBSJEiRUzh6cKFC/vAYe4lI0mk75utIFtCZpQSXldccYVXPxYsWGDIETrqS264F+eLjqJvPuQG/XzwwQeN3UDffApxM0+4F4LCnz6YoN8QLSpvPPbYY9K2bVuT+bUV7AaZn1WrVkmWLFmMPSXIcskyohsUUd62bZuxwwS7rvaU4BRCQ/Y7f/78pkg09sxFsKcEIwiY0oZL4WzscMeOHWXEiBGmDXSjX79+TkTPpb+R16alD/XtY2rfpwTLEtG0UA5I0dixY6VPnz4mhYtBq1SpksnWuBhIsiIQAdrDoXfv3t1Eoi5CxAUx4k/KDE2dOtVEby6yd+9eEx2ReUJIceM4XASD0KNHD5NxglTh0C+77DKXJgwO7du3N9himKlpibF2kS1btkiDBg2M42RJb+PGjc5pdrCsU6eOsExKP8gI5syZ06UbJorG6ZGpwbCyLObj+DD2kGecD8tarlE9nSYQwOmAJyTJl5TgMHAcEFdX/QjAI+tEdM6flMPyEZ6P06I/QSku13bAgeXvUqVKGV3FobsK74MSXiyBz549W6655hrXJsy8Z8mVrC26T0bchVDwQLLGkFXeM+92xowZziQaQsK9LDleddVVxo5AhF0E4g2eBEpt2rQx5IBMuIsQAFSsWNGQmyeeeMLYWJeAlWehHxAkhEwYmLrOX7L4DRs2lIIFC5ptDsxj12zYsGHDDEHMnj27sYn4h5o1a1rDQYCGf0A/8WsE0GRcwdYVV+uHiphngRd+IUeOHC63pttrlWBZvrp4KgepW9K/LDuh4Cy5kIZmnxD7D2zJFY6OiJFlwV69epnsCMtxZLJsBQM0YMAAM4GJ0Pr27StvvfWWs9MiJc+yE5kJxrV06VITObkIBr558+YGB8geDgdy4SoYZCLf2rVrm0i2a9eurk0I+zCuu+46Q64gWv3793duA7J46623mqiTcbHc6SoQO6LOadOmmf10ZBVdBadHVmDhwoXG0LOU4yNBdoJ7yQy6Ok7ug7iy5AERYGnMd6mS5d4PPvjALPuS7fARnt+6dWtDXCHB5513nnMz4EBtVMQ3y8m9vBf2YpEd5F2T8XAV9IOSYbfddpvJHlFCzFXIFk2YMMHYEHB1JSU8jwAPYgHJgqT47L/EHi1evFg++ugjQyiwB64CISKggNRgV6lX6xpYsJJAUIF9JdNJG5ByFyGYYLmTwBEb0K1bN5Old8nKY0N4LllG/AUrC+ACabMRSBakk2CVdwPBYg6ynAt5zJAhg00zTtfE04c6dSQNL1aCZQl2PJQj2M/Ts2dPY3yYtDhe10iTLAYTg4mLQYTQ5M2b13Jk/1wGKQqIDBF8UCzbpSEMGIYDUgNRg+QFBNGWKPK8FStWmIwZBA0DD7nCALm0Ab5BX3AORIpsxHZJqdMXImjIFaSXLAnY2hYJj8QOssrSIHvhyGwQUbsK77pkyZLy8MMPm2jQZ4mRZ9IXHDcGmf64CmQR8s5eEow0js9nPxpLWSxjkc1r1aqVMBdchcwGmUH6g9OhLz4fQDCHIFksU0LIISauwjjoy/fff2/219EfH1LSrFkzkz2mD2wX8BGcL3brhRdeMFlGH52F1DCnsUtkBn36wn5Q9BabwF5MSFZAQm3HhfMnswepIUhhmY8slKs9IIBEX8CXtthP6bJMh01B+POll14y5Ii+MJ9cCFIwbrY7YFPIEmJzXcka7ezYscP4DjL0vCP+7vrBCJlx7ABzgCAS0sYSswu+0d5lPHxotGee7H9XgmX5BuKhHCg1KWdSxmSLfCYo3SdKHThwoIlgSKX7CuQKEsKynivJC55JNgRHiVG3jaaS6i/GhqVJIisfB0WbGFP6Qhux4EJGEEM8aNAgb4ODQWZpgsi1XLlyvq/IZFZYBmPJlDZ9sYFIkNFgCdplP0tkx1laIKInQ0E/fPWXzBP3soTks3RABhgHDKHH4ZEF9sGFOU5WjyVl371P6Bzkk/fDPPIJdMAYEoDz5asvdNhH6AcOEkxw4r5LuDx7+fLlJpNN5tbX6aKvEFcCJ59lzwADyCvkCh321TmwgUQQFICNr0BcCXboi0+AwXPxA2TXIHyxfKQBLmRNydDzIZCPoL8E6izlkh339QNJPTsePtRnjGl5jxIsS7TDqByW0OhlioAioAgoAopAigiE0YcqwbKcFGFUDkto9DJFQBFQBBQBRUAJViIElGBZTgolWJZA6WWKgCKgCCgCikAiBMLoQ5VgWU6DMCqHJTR6mSKgCCgCioAioBkszWD5zQIlWH646V2KgCKgCCgCikAYfahmsCz1PozKYQmNXqYIKAKKgCKgCGgGSzNYfrNACZYfbnqXIqAIKAKKgCIQRh+qGSxLvQ+jclhCo5cpAoqAIqAIKAKawdIMlt8sUILlh5vepQgoAoqAIqAIhNGHagbLUu9PtnJwCjLldCjw6SucGMyp176nH/NcSjr4lCGJ7DOnBcfSB7Dg5O5YCpNyWncs9zMe+uBadifxu+OdxHJacqz30x90ItbaY7G2Eev9Oo7jNStWvYj1/tSaH7HOU+5njvqePs84YrVXqWE36QNzNBZbsX//flMGJxYsfH0P951sHxpL333vVYJlidzJUA5qb1GuYObMmbJq1SqZNGmSFC1a1LLHf19GHTEKg1LqBUIwbtw4Z2eKsaUPFDalBINPaQlKU1AjLijz4lO6BmJF/TzKOFCawofc0A8Ka1MzjgKrPkIbQ4cOlfLly5uCyz7Cu+D5lPzA6PkIBpPySNQe85Wff/5ZZs+e7V2OhefOnz/fkG6f2opBv19++WVp3759TMafMiM+RYCDPvBeaYPacr5C7T6cYcbLcZ0AACAASURBVJUqVXybkNdee83UeKQmoq9QU46yKb4BGbpFXUiKLPvMM/qN7aKmKKVkfEoX0Qbljyi63bRpUy/dYJ5RaogC7RQ49yEXFJunBuN9990ntWrV8hoLekWtzBYtWpjC2a5EiQCEQugEhbfffrtpg3qmLkLZpcaNG0uZMmWkZs2axnZRmzWt5GT40LQaW3LPUYJl+QbSWjlw4NTtwujjgCmQesUVV1j29u9ME7XQIGVkvqhgT20zlwm1efNmGTZsmLz55pvy22+/Sb169QzBcTFSe/fuNQ6Dwqg//PCDKYrqWjAWDHguTgOD/fHHHxsD4SpLliwxmHzzzTempp+PAwtqw/Hnhg0bnMkqfabwLQafGoDU4fMR3ilFhStXrmycoI9ABCguC2Fu3bq1TxOmbh96SSHfqlWrerdB4LBo0SIpUqSIVxvgwb0QRt/aiuj71VdfLRs3bvTObjJPIWjLli3zJiYU7SUQwSH7ZnqpR8d8//DDD70J/C233GLsCAGNa/FgXiKkgPqH1LwksHMt8EwbvM8LL7xQKlSoYOr1+ZB4im5DjKgBCmmEaLkSPuwWNU2xoxRYZ75QbN1WCA4pUs18L1CggCGMnTp1kvPPP9+2CVPs+sorrzR2FJ/QpEkTU/PVZUUB28ecZ76AAQEaBDgtJK19aFqMKdozlGBFQ+j//z0tlWPbtm3yyCOPmEwLaeHp06dL7dq1LXv692X79u0zldUp0EoUi/NyzRqR/bruuuuEqJwokoKvroaWCQ0RYExkfOiHa0RM4ecHH3zQZOAgee+//74TFhA0Ct4OHjzYFEjGAUL4XIT7cBIQNLD1IYo8j4KsjAGCx7iIil0F40gx4s8++8y8X4qF+wjPprArRh9n6iOQO7Alw0lU7SPgSpYBR0jmxkcg4Lfddpsh4jgyHwkcMf0h0+Aj4AD5BxdIjo/wPtAR3g864iPoRaNGjaRatWqGZPmQTp5NRhCCgw0qWbKkc1cCYnL22WcbgkQWxiVA44HMVwg893Xp0sUU0nYlSOAJrtie4cOHO887bA/FyCHO+fPnlxkzZhjS5yIEVpA8SCNF1iHjrlkosmkEVWQYeb8QcbB1EfrOHIEAN2vWzJAsxhRvSUsfGu+x2LavBMsSqbRQDogA0WtQDZ2oC6Nyzz33WPby78uIfHFYZAWIIJlMRG0u8tNPP8ndd99tlhgxApAT12WP33//3fSDSJpMB0uEl19+uUs3DCGi6j2RGtE0S6VEka7yzjvvGCICYSXz5Jopof8YZpZdSO+T7ShUqJBTN+g/0S8ZPeSXX36RwoULO7VB1gkiQRYPYSy8Y1fBMAdLvRBon8wAWTxIO+OC9OLEXIX3i07wXsmWEtX7CHNkzJgxZq5AGn2E53fu3FnKli1rgglXIsAzwYG5BqGBTPtkbXgfZCoQ3hOBkqugF8E8ITj7z3/+45wNYxk9yPK2adPG6L9LtoQ+0wZZGpz5kCFDjP677n1krjEW2pgyZYrceeedrnDI+vXrzXul/2RsyEa5vl+y52AJSYPkMI9diSvL6ZDEYC8rRNhVRwgi0DPeMdiwXYJA2EWYI4wfskWgNmjQIJOVcyWuLs9MCx/q0p+0uFYJliXK8VYOjDHRIk4LQwYpct1EzaRl+Y3Is3///ibrQ7bFJZUNHExgJhuEhKVKsk+uRgDygKOBnLH/i3EFTsMScrM8CqGZPHmy2Ue2du1aL+PKXhDwHD9+vKxbt85kXFyFpU4iWEgvJIeI2kd4JzhQlmohnD7y6aefmn0YBQsWlDVr1jg7CnCFcLJMgcP59ttvnQkn/Wbf1MCBAw1RZBmZZU9X4b2S1WAJGiLBXhVXYTwsQ+FscOYs8fk4Cgjn6NGjTTSPrtSoUcO1K4YAgCvEhD127CtzFcbBPhnmM7jecccdzuOBuJYoUUK2bt0q7733ntk76SMQimBpigyUj2DXWOoku0cGO0eOHM7NsBfr4osvNplFsmk+ex/R+UsuucRkSdmLRObGlWQRLBK4Mv8IusDWdasBwSs6BtEL9pO6Zl2xR0FWEJuP7vbr18+JAAf+BXvfsWNHM4eYf64rHbYvM94+1LYfaXmdEixLtOOlHBhRJgaTnVQ4+4x8NqbitDE+GC+WODCuroLBgHzgZCBpGCEfYa8TBgNDRjs++0jYWM8Sydy5c80mbJYpfASDztLViy++aBw5jsfVqOLAyRqBD8stRNKuUTh9J1JkaY/syDnnnGN+rkL/iZ4hr7wfjKKPQFqJ4sls4Lh83hF9IYvHO+b9lC5d2rkrYEr0DMnD4UBiXYVMKaSEJazVq1cbkuWaWeCZ6AoBBZkO9j/6vGPGwR4ZiBXZG1ddox8QeNrgHWMbyCT7CEQTgka2Y+HChV592bVrl9kzyPI+us/+HVfhHZM5ZqsAARc650qAg3lLtoZlemyCa8AW9BtsIc833nijyRD6fEHLO8I+0Q8Iik8GmP6wRxZyRHDB0qePzhFkYdsIpvkQyacv3MvHMhAsgtonnnjCiazZ6ES8fKjNs0/WNUqwLJGPh3Kw/MaaPJEITsplE3tkt9lbQLaJSIao2fULlaAtSBGOiiicSM9HyBAxDiYrTsrHwfDc7t27G8NFhsM1Qgz6zV4lHD9t+S490RZGna/9ILE+pIg2cBDs2cAQxtIXlhh418FGV593xD1E4Ndcc41ZrvAV+oDj3bFjhxdBC55LhiNv3rxmX5uvENHnypVL9uzZ45yxjXwmcwhS4ZuhDAgS42G/js9ydtAfsoMQIzLAvhLMATIlvh8h8GyWT8nqETz5zmlwxfljG5gHvkJfyGixROb7BS5ZVwIvAiey/T7CnCY4YAvD0qVLY7KZZH9ZJXDdXxr0m4CUfX8Qcuw3gZyPMA6II3qD/rruEUvpmfHwoT5jTMt7lGBZoh0v5cBh4uh8oqig62x4xNi47m9KPPRgf5PrPovIdjA6ZGhwvLEIS0ZggqOKRdh7QYYmFsF4/frrr17LaJHPpQ2+IHKN3hP3nSXbWDelEoGTifPJ9ET2B0Ps6+SCdv6vvTuB2vaazgf+dKLVotSUiNQUM+2SVqVZNChRomlaq6ZSEnRQ1FBDiZkEKUWpEkQVTWsookobMSWqxqaoKqmYlRqW1kJX9b9+978nXq98X+5znft5vuHde61vpV3e59znvu5z9rn2cPa2ZmDce/lh5Jvu6rfCJgyUlES0cZfAhWfOXBKvxtb3W2K98OLak715h9tx/sQnPjGNkRqBbbwl9jXDwB6wJ0eEvqN7R9aMSAaDRWh4ROSJMSqTKEh7LkzOOuusIUJ+fu+wrjN0BK91/7YI1kyEd+LimAlN/VkhUAgUAoVAIbBbBHbiGVoEa+am2ImLYyY09WeFQCFQCBQChUARrG0IFMGauSmKYM0Eqv6sECgECoFCoBDYhsBOPEOLYM3cBjtxccyEpv6sECgECoFCoBAoD1Z5sLJdUAQrw61+VQgUAoVAIVAI7MQztDxYM9f9TlwcM6GpPysECoFCoBAoBMqDVR6sbBcUwcpwq18VAoVAIVAIFAI78QwtD9bMdb8TF8dMaOrPCoFCoBAoBAqB8mCVByvbBXuSYJ1zzjlTS4Vb3/rWU+X3RHRh14tLG4S0MOTb3/72qRWJxq+JKCipUrHCftq9JKIgpYbYd7zjHeNiegqz6iGmk3wqCib6LknrkPZMRWa1NLr0pS+dTmPqZ6hfXCoKSGoOnvaq81yFLLVT0aomlbe97W3dzcS3P2t0DOvzzDPPHJqH/fFjP/ZjQ4Vg9Zo84ogjhgrSjq6Lz3/+81Pvz94G71u/iXWlEXlvY/WtY/zZn/3ZVG09LZxpr2sXRGelxU1V01dkVaeLtJgonWV/HHbYYdEWUbhWOzWNrq997WtHY6jMrrmzFltJg/jooVt+tCfP0NG5p78vD9ZM5Da9OGxoLQ8oBxtcF3pNoHtEdWAtMrThUZn3ZS97WXezZAcwUqQlhIrFmlL3Nn52cGl58/CHP3zqs6YdQ1K5/i1vecvUlJTS12g4EQeono1a3yBpiZiH1hZ612n8mojGt3pPqkidKm39BK2RkVYqvqvq5XqPpaKXmobERx55ZDrERChOPfXUuKq2dap7gEMkrZSvMbLDR//LVP7mb/5mIu9J0+r2TO1O9IbUaioVrZBuf/vbx30M7VkdELQM0lImEb0QGVL0Ttqm58UvfvHUWkePPR0vEtEXkv6jP5N5qGxubelwoZ2TPoa9e1aze8TIOL4rsta7TuFI7xx++OFTOxv/d2/XDecI3em70H/abo1Wsp/7TTZ9hs6d1zr/rgjWTHQ3vTgQEptQv0L9u1jnPQ15HTgOTf2pCFKhCXSP6O9229vedmpoSlhQ97///XuGmAiERqasWYJY9CpsLWb0zKNsWaHG7CU2iN2jHvWolf5ul7jEJVZ6kfXgae4OHQeOXoIaAr/73e/uwqL9sQNYA1/fFwFOBJ6aad/73vdenXTSSckQ0/wpWiRLo+VEtFfiVfVtHOiJnH322VOrkWRttOcxQngH/DdpGN3WJpKo3YjvmwhPM88oYyRte6LhtJ6i3iXtT8pTjVDQIze+8Y2TV5n2/mte85qJ+PIiJWL+1sjTn/70lZ6TvcSE/jvooINWX/rSl1YPetCDVo9+9KO7WwchN3pCIkq+DR3Q2/LH2mwGBK/1c5/73O4WXPRnI81IGsJ08YtfvAtWelxPSGKN6KPYQ9ToQQTN3tdnkPHcq4+7Jrzljzd9hqbzXPJ3RbBmornJxaFhssPKZvj0pz89eXyudKUrzZzp//8zpISCFLLQTNoh1ruZvTMrCcFyAP7DP/xDt5udd+SmN73pRBCFsrioe0W3eOFRIbm73vWuqxe84AW9Q0yeHpashrOUHFLRKxQkpUZRs2Q1Bu4VRESjW2NoWps0fvZNWfMaGyN8Dq5eETpx+CGrPJws4l5BOJE864NVDN9EEPCTTz55IoqIQSK+hcPGf9Om0Z6PyJvPc57znGQaEw68BA6t17/+9d2EwkN9D99Uw3V7PwnpWxc8pBpg894k4Vvr8373u9/kbeZBSjy+vsXxxx8/jYHY9Bpo8LBf7T2N1nkG6aReoTcYmEJjr33ta6fQfK/QXzyUvGCnn356d+9M6Q0//dM/PeliBItxdbGLXaxrGoxe5P+rX/3q6lrXutY0Ri9Z5FnkSbv85S8/GZk84dbaumWTZ+i632Xu+EWwZiK1icXhwKIEeCWEXYQKhKN6LQwKFblCbHix5MgIwfQIDw9So6kw5WQD8qT1CILIU8OCZP2xvpL8gUc84hFT3hVC4BBMlIEwGmJDwbIckwbQiN6hhx46KUV5Mr2Hlu8rhMUCRjyRzl5M4S8vxcGnWW3q9eFRcPjJtWERJ/lop5122kooysGREk65WzwUPBWJl7WtRwZA84TxHiXSvAPCLnLs5FL1ij0rFM7TylNpD/WK72Eu9h7CeJ/73Kd3iGld2HOapfOIJd/3ne9850QmNOHmMXUo93qgpBTc7GY3W9GfvCYJsWFwIlUMLETPmusV+WTIM8J63HHHTZ6wXnn/+98/7RXEmcGLmPR6wWHKqGEk2nsMzgMPPLBrKm9605umtcGgoIfk1vbmdjXPpvOBMcHbac31ft+eiW/iDO2Zzyb+tgjWTJTXvTiMz2rlDUCyksRlBzjrl5V4wgknTIo52TBc+re61a0mK8vmc1j0juPAlJCJ3FFIklQvdKELzUT723/2jGc8YwrtSQiniFjkvULJC4VRaghNbw6Z5yERvEYOHJY8opWId5GA/JjHPGYiwA6vXnFQCftYJyzi5H140CQfI/NCaubSKzxoiB4izZOFiPeKQ5MV7uDiOUo8erxxDl6eo2c+85kTkU68Pjw2Qj9+70Dv9Rp791NOOWUiN8IvT3nKU6L1yjsiv8+7IHo9IaCGP6PGYe6b2DtJqJER4ABn4NAHcqF6hU5Canhu5T/6lySbn3vuuat3vetdq7vd7W5T6JT3plesV4ajPWz/yefslW9+85sr6816l7uE3PjWPQIT2PIawxfJus51rtMzxPS3xnna0542GdFItPF69bRx6CNrniHP89nrVZs78XWfoXPnscm/K4I1E+11Lg6ht3azw0Fzuctdbuasvv1nCA2FIaYuHNbrsWojUe6IkYOTYk027Ne+9rXV0UcfPSkiLvXe0GSbi3wWSsOB1WuhtTEo1Rvc4AbTgcm7kIqkePNxWPQq1PZMhyULHsbpLUpjCR+7eYh8psIjwcspBJ2QvPZc7yPcepvb3CadyhT+4XV1WKUidIJ8+97pevNsyfouUSShrDZ3e1AoWSg3FQew0A/Pa5pD5dl0Ai+htZuK28OMLV4g3sZEXLhhlDBOePhSQSZ4oOnMxNjyXO+DICHTad6gdcYIln7BU3mRi1yk+5UQJJ40xN7a5+lLhEdLsjqdyxPV61XzTCklPFgMHp45htvSss4zdOm5LjVeEayZSK5jcUhEF/Li1WAdcmEn1uonP/nJiRQZj0JOr0XziMjbYDkn3ghQIlVHHXXUNBe5DhRQIrxeDjuK55a3vGUyxDQHBz9FJlk3ubnowTxGrF6egNRzZRxhGnNhzacifwKpEa5MPCztuS1fisWaihClUAUvpVBUKi3B3kGTylIEiwfNHuQRSEXoh3fDf5MwY3suj7a5pDdmjePAFMpGjnovhmx9f8TI/mkJ1gk2PFDIotB44lHzTJ5XexouiGyiL43Da8PAeOUrXzmRrUTkQQkBw4V+SUtJ8KwjwvYikpMI442+NBcENCHC9CVjCenzTz5kiu/5vcM6ztAEq03+pgjWTLTXsThYdSwPFl1688n0eURYHTwaqXfFwW+Tuy3Um/O1FUKhCUmtklGTME0bS6iTwrrTne408wt9959RgDwRlEZq7RqVhSi/J8mFabOCL+sbsTn44IPjd0KsKHNkfEQklbv9l+SAtecqayA3bqTEg7Fe9apXTUQ8CVO2ufDgnnjiiauHPOQh8R4wlpCNdcMbMCK8pXJ9Em90ey5C4kajcUZEcrkbq0n+U3vuxz/+8YkAyPtJvNptHLl/krRTD7tx2o1CJDglNcZh6DAI5bumoj4VIszDPUJg5UTxhPFApfi2KIZoSOoNg4MQrPUrEtJbBmJ3OK7jDE2/26Z+VwRrJtI7cXHMhKb+rBAoBAqBQqAQ2C0CO/EMLYI1c1PsxMUxE5r6s0KgECgECoFCoAjWNgSKYM3cFEWwZgJVf1YIFAKFQCFQCGxDYCeeoUWwZm6Dnbg4ZkJTf1YIFAKFQCFQCJQHqzxY2S4ogpXhVr8qBAqBQqAQKAR24hlaHqyZ634nLo6Z0NSfFQKFQCFQCBQC5cEqD1a2C4pgZbjVrwqBQqAQKAQKgZ14hpYHa+a639OLQyE5c0h6+bVXVFdHLZy0doxCdNpvjNTsUuVdTZ3RmjyqdY9U7FZPamQO6lp99KMfXV31qleduYK++88Ux9SCZ6QYJSxH6mqZlUK1SWHC9kbeQbVwxTVTUVG+tyfb9mftDWOoDaboatIOpr3P6Pcwzui68D29w8ge+8hHPrK6ylWuEtd18h6j+9Qe829kj6jIrx1VUq29fVOtj1RHTwt3qs2mWOxI3boPfOADUxuctBB1urfb7/b0GTo6/+T3RbBmorYnFodDXLNnBUQVutSmpZcctTEUjlP0UM+2RPRI1P5DC52kcaxnqrz8wAc+cCrmmBzo3sX8FbdU/DMpyGcMhRcdIP6bCEKhuKDKyXq0JYJo+q0+ZKnidpjrJaiXXyqq1KtmrVlzKs973vMmcpT0z2zPVOzR9xg50BWlHamSr/2JQqWK5Kbie/ouxx57bDrEVHjY2kqrnXuwKuU6MqSkVwFNVcpH1qdODopnKlCaEk4FdbWF8t90v2uufve733115zvfORqDcatwp5ZOaUsoDdp1KnjiE58YFwE1f10TFPZVEb8XD0VVNezWGJ3eSMaIF/VqNTkI7G+Ed139Dkfmt47fFsGaieqmF4d2EtrWaLxMVGvvrXStD6CDU4NVC5oF1FtZGqlz6Kg0bGP6/3utMO1dtCBRgdzB40DuFW1HHMLIgIMDNr3CCtQsVvsd/ciSfoCq76uUfNppp00VpZNWQBrGqhTOwv/Xf/3X3teY/t4YlD7vl0MsEWOwiBE9VdATgcfVrna1qbVGSiooXATNYe4wTEQHAa2D/Ddpfu2ZSDtSwROWEj1rW+sr3zXtqmC/aeXCW5w0SPcu1pf1SW+kvSZ5Zw855JCp0n4yDzrzkpe85ERKXvKSl0RVwe1TTda1AtNSJtlv9IUuFUirDhFJWydr2/O9i2r0vVXbef+RG4ay1jz2m/+/RxD3q1/96hNROfzwwyci3ttGzHrQV5KoqA8bvTc3IZs+QzfxThf0jCJYF4TQ//3vm14cusdTLJQ9b0nSM07vPKSMx0XX9d5WLxrOImg6zxNKv3dDU/L6mCF7LC7udkqiR4TijjzyyCkkp/0OTHotIOTymGOOmZ7PewbfXqLIw6HlCFyFSbWU6BXfAkHTL0xbIoQxERaothr3uMc9Vs95znOSISYigBjxTKYEi1XPK8lDmrbM4aG1NrU+aX0Je1+ojeG/DtNEPF9rpZEx4ODgg0vaMBrB4uloPUqTd7EutEOyThCCRKxP5EqjdM2ik16e9onGzLwlxuptWYWYCO996lOfmnoq2i+9+qMReF5jpFGf0ytf+cpdkNAfns8DTgcijJe4xCW6xqA/m8f7EY94xLROeskvPW6P8AiKBOiR2ivOE0STUaPJemqQ9D5302do7/zW8fdFsGaiusnFYdEjAywuDXWFxHotN0QCKUGwWNNvfvObu930LCa/P+CAAybFwvrpdUsLNRhDSI7FloSzNHjlWWDN6t343Oc+d+ZX+/afUbIODCHXdpj3DoJQ6SX4vve9b/XQhz506svWKw4ZCrL1bGzktWccGGrG7cCgpPVB6xU97nivEL6UYMHUQfXFL34xPsitq2td61pTro0QSBrC5hXgZfVfB2gini+U4yCVr9K71j2zEV+eRQZB4glrBMshKoTL09Ar1gWyJ/x8yimnTCSpV/QUZWDx1ghvJf0Z7RPkXd9Lodckf9N+QXqRNN7aBFMhQvuG0cr7nJBFYVd737dFbnp7rVrrdCHD7jOf+cw0Rm9EwX7l5eVZPOOMM6a13ptL6izT39J7IKwwPeyww3qXR/ffb/IM7Z7cmn6wzxEsHhEHpHwewqNg8+3KMqL8H/nIR67e8IY3rMTSuYcdtA6lno26qcXhgHGIs2Dvda97rYRgenN0JFSylO55z3tOJAC56XWLN3KFFL3whS+cPD4SVnuEB4xSRgRsZMm7173udXuGmP6Wkvb7V7ziFatvfOMb3a51Y/AYwUOODsszCQ8irfJifBukoLnae14IFkJZiKIDIzn4PM9vrXl5T9ZLrwjbOoSFKY3BW9IrDhsWNdKK2CRe1g9/+MOTh9ShZwwNZntFbsld7nKXaY0wSuyh3sPPM30TeuKoo46adIZDrFd4BxA9h6CwuLB6r/gWwqWej+BYL73yrGc9a/IaI8GMq0QQEr+1d84555xuPeSZsLBvkPj3vve93WTAGAwr3mM5dowr4cJekdogZMtw9fvEOJKuwfttDOsLMen1QCHdCKv1Co+EZDG6kSN6kZdSrlsvcaWHNHLmBW95hwyMdcqmztB1vkPv2PscwXIYOKhbWMShacHK7zk/ef/73z8pSxa/QxFRoARZhRTHXFn34uClEWLhunXIOGwSoVQd2ghkGm7ZSq4cVom1x1qT70SJOIB7yOzW96bkWZ9IY6+l1sYRXvC9EQCHaCLe5+Y3v/l0ixOp8P8nHo6nPOUpk5eEZ8I3T5J/HViIr/dy6eHCF75w9yuZv4PbQXyTm9wkyo/xUHlxwrXWW5pzZB/ycvAQJnh4F/sT4XQQm0/ybXgHHFT2YXKIw+PrX//6RFyRvjRZnlHl4BXqRGySd2GIyDlECBDhZO/Aw95nVCAELrj0StsnjGLrFoFN3sdzTz311PPyUtMbp+bgG4sK8EglYo0xcA499NBpnOR97P0RktXmLawt3EhP9qZvtDF8E3rRuYh49qZOzMVw3Wfo3Hls8u/2KYJlcyBJFHFj7P5v7k0hhrmxeYvRTTjhq7kKfZ2LgyJknXk/RDFRhhYN7wzCycqT95TIEuTKc1lX8hRYn6kyZDFy6SMkSXjCPORwUDwjNyiNg/QK/8jF6M0jad+hea98H57XVBx0bhON3JiDrT3Eu8mSTUWYUQ7W7W9/+3SIyQPN09G80slAPDWNYKVk3nMlMQutp3lcxvjzP//z1UknnbRSFiUVJIuXQv7Sda5znXSYSQ9Y+4h9KsLaiHTqxfJcpIR+5jFJvbbGaTfp5DOlRIDnyTh0U4ot44ZuorcTb5h3WYpkNb3P6WA+iTg/rX3nK33bm5Iy55nrPEPnPH9P/M0+RbBYCxJHbdatQrFi8jwmc4RbFQFwM22urGtxyMVx2LqKjPi5dZNIs2R4AxwQiSxFriTVCvu4CZmSRaFgdWMoDInYqZiLw0XOUXrw8kZ4D4qU1ZnKVu9VYvV6Lg8Jwioclt64M4534RV0eKbCS0IRf/CDHxyqB2Yv+t6px8f8lyJYiARikx6a5iLn0cHNcEpu37XvQS8wHuGTipuRvHEIQeph5IUa8WK1uUs14N1jSPaWm2lj+M680Ug9gycVXh8GoJuavcnq7ZlIidt8QrrpXJYiWUtELqTT8OoJQTL0l05+X9cZmq6BTfxunyJYlJ6ETXkbW8U1ceRqjiJisVMWLJjd1f5xePjXxOJQoG3JGh4UsLnLCUMEeuP5bW4vetGLJve9vI0b3OAG0bqhRF3XFW5Nw4IeLNeB+1zdrCTPqU2eJ04iKAKQWqoUhjAYZWFOqSCv8r+EOlNixJMmp8ZYI94ruUoOF4dUOhc4CHfelc7CSQAAIABJREFU7na3m8KvqfCCIXn21MhczMHeEspPZSmC5bCUgsAIS8W3RtLcNk09JJ7N08noEsJJxb5mHCD3LoqkYh8+4AEPmHRvuh/hYh8ifEm4sc1dXpg9JI8wNUjNhVecsSItIxVeMHuJbkjrljWSxdhmlKZ7icHkG7uQkNYqlDeLLPrevvWSnqwiWOkqG/xduy6+u2FYGhQNK0iYZqs4uNyKkKy3O/GB5TaxWIQjdkdodjWnJQmWucqPkAibbipjCCewUEeqihuH5e1WWJJz1XBfosK5sZAj80i9Tm0+S1TFpgDNh5dxRFpy6si39nwe3DRM2eZPkXqv1KvRxuFRGx3Dmknz0Ua+x/n9tuUdjX6jJXAxhj2QGl7t/ZZYL75RcllmO8ZC28jniI4xpgtLoxXJ6XJEK/VgtXejN+nekTVj/QvBJhcrtmLs0srlL3/5obC/b83j7+bnklIEa0k0O8Zy8Pi3O+FZ4dJNQ4S8RUJnbuTxAlzQobAJD1YHRPWnhUAhUAgUAoXAPotAEay9/NO1JHeu0BYK838LRe0uyd2HRa7ctkpbP+zExbGXL4eaXiFQCBQChcA+gsBOPEP3qRws60iZBpW8W9xcro5kvFamQahMCxF5REgYz5UYeavFtLU+jpDPXFf1Tlwc+8i+rWkWAoVAIVAI7OUI7MQzdJ8jWHJhthcadfW35aS0nmSq3B5xxBFTfzF1fs5PJEnO7Sm1ExfHXr5fa3qFQCFQCBQC+wgCO/EM3ecI1p5aSztxcewprOu5hUAhUAgUAvsXAjvxDC2CNXMN7w2Lwxx6mxxvfT03pNweGyksqThr0oZk6zyEa3vb/2z9vVsuLiFc0EWF3X1aNy9HcDD26E0x7/HNb34zqsTe3g0OSSX3rdgsMYb3GKn5NPp777M3jLHEHJb4HqNj+L3vOXIzbnR/+Kaj+9Qc7I+R9xjVV95jVG/CwfeYm9Jyfrpv9PyYeVTu8s/2hjN09B16f18EayZie3JxqFavZpd/ydVZB7nKx+rqqEieXPt2nfkFL3jBdD066VvXDkBFQ4Vu5cUl4mq1Ktty8FKSJjSsbc6TnvSkZArTb4SeP/7xjw8XHlUTKC3o57tq63LCCSfE72FdWxdqHKWihIpCoWl7J89VH+y3f/u3h8ii7/mgBz0ofY2JMCt2mraY8mDNd5UhUOE+FVXgFTwdqUHUmpGnxEKqhWK2I/Wq5MFa2yMFcX/v935vWhdJP0b4I0ewlEaSlnxRHkidK8VJUyNCjTdYaNmW1BFjGKuA7110pki+q7ZlGnj719u7MF3LW3+3J8/QJeafjFEEayZqe2JxKGKHkFDakvmTgng2FSV1+umnT61VkhY6+jnqU4XoqfmSKLsPfOADU3FXB7GGp4mSUdhSM18V3pXsSET7Es18H/awh8XVlylbly2QLHNJxOGlvYwDILVKtZjR1sJN2lSQCV4XPQlT0Vjcd0mLliLvCu6+9KUvjfFEvNX/cQEm9fJqS6NzgDp7yfqEH7KqFYsGvKlo3s07i3Sm4oKPrgNpyx/ebp5q/f8UQk4EnvJfGXdpoV8FmBWYhqfef4nc4Q53mHp/vvzlL4+azatRpdG9oqb2m3YyvdJqXGmvw7hLCtDS3wqIusSFhCfGdmul5lY90qdTwKZkT5yhm3q3XT2nCNbML7DpxUHJO7S0IWF5ITa9hS4pJYe4Vi/Xve51p6KmPQcHD4mNzEtC4VJUvcTG4amysDGEHR7/+MdP/3evUC73uMc9ppCBAyzpTahEh6am3PU9vSu3zlV1buQKKXFDNQnP8fiw6g844ICJbCaCOCtPcqMb3Wiqmp+IMXhaWNXPe97zkiEm0k1Js4q1R0rE/Hk0kTzkIhGeWZXp/Tftdef597rXvSY8HWKJwIGneWu/1N5xjj322KmgMmNAU+9EzF9VcOQ7OYg9U9Fh7bMYFIlHjkeQF84e0cpFp4hesU+vec1rTmRPVXt7r1foi2OOOWbyeKf9+ugtbX68C4/xfe973y5das70pz6V+t8ijToy9HiiED3fksELVwZJb3V+7eEUM2WQIIo6VMzt4duL+/a/3/QZOjrfJX5fBGsmipteHJQ8paDKsOKqSdgCGeBdQJQQo6RFCwXN+uSi1ganV1lTCqw+hzjFIsSo+WyPUAZCHiw/3onPfe5z3flXynfwTmizoQL0ueee26XczBfpZfn5rYMPHr3it9zz3uGmN73p5FnsFcSONY908y7whvWK74IYIXu8mmnjaOEKHtZf//Vfn9pYJYL0Ojy1u9JvNBHeUevMf4WmEvF872A+PDeJwMHz4cJzk4jv4fDkhTrrrLMiD6d1od0JzyDvTdL7z/p0G9t+RRiTULZ9wrDzW+uk9zCnuw4++OCpfRGjxDrlqewRRO8yl7nMZBAh8AhSb7hQ2y7zYGhaIzxJvZ5nBo19K0UDaU3CdL4pPYaYWV8JaeUZ9U80ge74+Z//+R4447/d9BkaT3TBHxbBmgnmJheHRW8DIxTKSDgIe/OmhBeRAR4o1g5PVo+1BBZtF7i0WwsiRK9XtNdg/QpXUHRPfOITe4eYPF+8NcYROhEa6xWK2qFHKVL2sE2Ed0EbCXNJQrbKjAhPUo68NkJKvaLgLouaVwCBTgiFQ49FLsxpnQif9ArvKjwcHEj43/7t3/YOMRFNh4QQisOY16ZXHHoObmPwuuih1nv4eaZvijQLB5155pnTodwrDiuGjXdBFpNwEs+1vB/htcc+9rHdRo05I5rWGI+P9ZY0XRfyZegZw3pL+v4JSSF4DLPUSyo9Qb4jb7h36tVj8BAqpUesL2Qx8TzL76N/EHmGiVy7XtETki6iB+loa61H/Bb5Z3SaD9La2/OVsezZ8uwQTqQ1DQP3zH2TZ2jPvNb5t0WwZqK7qcXhsBxd9Da/w1uoIs3B0DMMueL1akqhV7E5+Chn1nM7wHtClO3TtBwySoEkypFHgBdQyMEcei1Yz0UoNHRtLvrLXvayM1fPt/9MzhUPmlAW5Tq3Dtv2B/k2LR+j1yvQxpI8zKvoEExyQoyDqDIIhIETMiHUKleHAcC7iCD1rjNhY0QerjykDr7eG6IOLgQNUfRt5NYlCc3WiPCRywuIQSLWF/KOUDzzmc9Mhpi8rcgRzzWymIgDmJHl28C1F1PPRKB5jqwv5DVZI61nIJL4tKc9bZpPryBXBBmhG5MLLr4HQYDtY2Svl8hbZ4Sxqjg2D2VC5I3B0BSS9p2TEK4xmjHvcgdSvk7Z1Bm6znfoHbsI1kzENrE4bBj5SSNuW94Ern03XtIbQHKUWM+S2RGThBSBlYVFiQgzponHlAfrCmmUi5GIZreUM6KYJPm3ZwrZHnjggfGhZxwHp1wfHqReItHmgQh4Hwndl7rUpRJIpt8IH/FwJqHjrSTNwfsHf/AH8TzkgfCQ8HSk4hBWbNi3Tshzey4C7dDyrVNxeDrQU3LkuUJB9s/2xvY9c5JvI5xmjORiimchBJrRM9QQ8VSQeflcvnUqPC1uuzKS0mbnvL/IyKtf/eo4z85ZILxn3yQeee+PrCGKSKwwbFr6hk5jSEs1SPP1WjqK0GlqkM/5pps4Q+fMY5N/UwRrJtrrXByUmAPGISURO73ZcfbZZ0/E6MEPfnB8XZ3XSQI5kiUEldaakszJgkeuUg8Lr8T1rne96cBLvQE+L4+gZHLu9JTU8J6xfFn0vTlkbYlRqix4IVc5aam0JGpNy1ORC8aDJmSZkl/PFt5z+UDuUSq8YIi4tZ/KUgSLx9X6H1lvcnSEw4QKU/E+PHHItNyfVCRB83YKE6aiPAuPj5vAqbElh+mqV73qRAR6Q1pt3vSkUiCStEduvVpv9K1QfxLmMx+kVY6cpHmXKxKRMiE8L4VDIj5vciJI3pOf/OSJqLnMlAj9Jt1A4j0jP9WTu3v2Os/Q5J038ZsiWDNRXtfioDSEwMT15V0gFIlQfupLCU/IrUnEXByWchTcQEqtRIrr8MMPn7xft7nNbZKpTJazMAvCx5pPN7x34dFDPin4RMwFtm7sITepuNV53HHHTUnySZjTc80FSeOhdCspFQRAjlAaPmpzsUbkcaXWs3HUVYOJgzyVpQgW4svb4wp7KkJh1pwk4nTdejZiJA9KnlsqQoTWLP2QzoU3Tt6i9eIQTgXJs94QgXQuDBw60hhJknhbt7xP9qDLFelceMF4xL0TL18i1gi9wqhG1tK5yNUTAbEXkzCsudPbCKx8WYQ6ncuucFjXGZrgvqnfFMGaifQ6FoebXArHSQ7mpmWZJcKacsOGCz+9Kt8OupNPPnlKgJTPkgivk/wVBxUSkAoCQCGrfdVbnqI9UzKncIBr+ynpNJZcC/lOvAkj4SdX53kYR+bi8JYnJLclDSt4J+RMiFCdtVSaF0wZkNTT6dnCR6z4NNxijKUIlrAc7+1IeE9OmLxDBW1HvE/2D0LRWxpl6/f0LnIFW+J9+q0d4HLk0pIg7RvJsRPqc+EkFXN52cteNiWs917+ac+UY4qoKZcwQmDtn1ZSI7kEYD7y2xAsxu0Isefpd2nGd0qjBm4mu6iBaMnL6s0x2903XccZmq6hTf2uCNZMpNexOCR/2lTcuymhMX2eLx4nmz21OnhGeL/MJ3Uzm4sNqmqya8BpOME4NrcE8BFFzDrkHWGNpR4jc0GAhThYdqkg0xSg/JyRvCmE0xVv9ZpGRC4YpZ56TD1b6QuH5Uj1dOMIj/CE8RKmItxy4oknTuHXEbLHAyCPa/RWFbKIlPeWFNj6/ryuPLAjuU/GQxaR8pF9LZ/LnkZuRg5dl3jUf0s7OXgfHjVef/pOGZtUpEDIgRoJBwv7y3WVu5QayOZvX/NgKaw6osORch6xka4KCB98kbWRbgLbv8s6ztD022/qd0WwZiK9ExfHTGjqzwqBQqAQKAQKgd0isBPP0CJYMzfFTlwcM6GpPysECoFCoBAoBIpgbUOgCNbMTVEEayZQ9WeFQCFQCBQChcA2BHbiGVoEa+Y22ImLYyY09WeFQCFQCBQChUB5sMqDle2CIlgZbvWrQqAQKAQKgUJgJ56h5cGaue735OJww8+1ZLfPXPNPREsSN1TU1UnrWynBoA+Wa/WpaAPi9pkCe6moXePGWVq+wc0ft5lGin0qC+Dq+1FHHZW+xtTDzy2dtD6XB7uBN3LjzdpSn2vkPdwwcxtLeY5UFIF1s2zk5qlbYSO3Tq0LN0ZH1qaOA26/pmsTfgrIKhCa3iZbYl0oD+GW80h9M8Vj3V4cKW2iaKvbu+m6UI7Brdvb3va26dKcCi4fdNBBcTspD1YYVUHStLCpm61K6NznPveJWjiZwxvf+MappRQsRtZWCuSePEPTOY/+rgjWTAT31OLQp801YHWPtHlI6r5QMK4iK1xokyaiyrYimVozpAUuX/SiF03kTDNeV7V7BRlQckFRVteaE3GIqj2mbINyEokoCeAgVypBja1EvvCFL0w1unzftBeZ4pEKHSoQmIoekb5t2ojXc1V+RhJH6gkhVwolJk2JzUFBWq2U7JG0IrbfKlWi7EkqcFQvTaXwVOCI8Op5l4rClwr9pkUn6RsV19WaSkmBno6qpqsjl5bOsMfUs1O2JSVZ+iAiaUoPJMRCSyp1pbyL0huJqGWmzY9irboFJEL/qlGoxIpSDL0CR/uL7qXHVaLfpOypM3ST77j9WUWwZqK/6cVBwdmQ6gwRHpfeZpysFTWKbGriAOk9wBSRNA81WnjQPvnJT3bXlEJINFqmGHjgWFK9QjkgZwii+eih1ysOYYcXooek3elOd+odYqWeFVKlXySSlzRJNg8ETTVqnsWkrpDfOQD9l1cwEQUxkRKeJ17BRNQaU+WbZZ1WuVeQUwFK3oq05Y7iirya/strkojnWx8IUtqEW3FcRFER1rRGEw+DvowaRycNlr37ta997YnUqKOVGGXWud8pjosgJaTV/lBnDVFEtpJ1bp/SewgS8prMg75AKNT4UxMswYPeUiONcaaxeS9hVLuLF4xhZQz6SzHaHqG/G2FGthibvcVNnSNtj9F/2rMlTet75t3+dtNnaDLHpX9TBGsmopteHLw1Qlg2BFLkEO1VUMI2TVlrDaHlTK/wbjh0ED4WYG8X+uZ1UqGYkkHUKLoeQUgoFFgQ1aQp/h5B0CiURiT0JnSo94h3oRwV4GNNq5Ldq2g9D+lVXJbnCq6JKCio6CNPhcbRifi9cRQlFKJLROcA35ZXM6043t5Fz8i0x5y16dBK1mh7b8/nKTGftMI9HPThhIvCson4HkKVvk9a9d+6UKh05F2sT+Ff6zWpss+wushFLjK1d1IsFba9HiT7tIXQf/VXf3UyjHoJEn3RCpumRI3eap5v3zbxhrU1itCkbYfocaHXQw89dEob6TUEEGdGoYbZsGBU9H6TZE37zabP0HSeS/6uCNZMNDe9OFqXdMoNEaBceoVS0PjZpqTg9AfsFQrt3ve+91QFmlJI8oV4e5DFAw88cKo4n4QcEACeI42JKd3eyuw8PaxoSlIOGk9cr2LRGNl3QTK1QJGn0isqwqvm7hCGqUOwVz7+8Y9PhOass86awozyfnpFtWbtlXiPeMKEHnpFjo6G0Q5hfeF4S3qFwucBk5d3/etff/LcJMII0TLKf1n6iXi+vDieBsZJr0HjmXBoYV/rtNdLYQzfQ5N0PRGF982nV6wLWNrziG/Sssf6ZNjd/va3n9Z9Eta3Pqw1esy67/W4IGfeXw4SDzg9eKELXagLDoadedDhSElS5Vw0QGNz4UKtcZK8R10u5MAK6TMkhPd7hf5k4OmDiPQmVf7l0dr39BgjQArKJmTTZ+gm3umCnlEE64IQ+r//fZOLg6WHGLG8JJnylvTmH0hcpoy49x0ciaJvfe94fVhMSa4QIsOa5pp3+Dg0ekWYktUFEwdG0t5F7pWcg2OOOWYiFpRlIn7vHXjQJCInIpzmwPB7ia+JUK5CjH5/t7vdrXsIxEaOjoNTfl6iqFuiv9Ct0Bjy2itIKxLhEGcQ8DL2Ehvrwzq33pFoDYl7+zTCQzgeDg4gOS69ZMC7IwFCpfJ1jJEkeBvDP6EtuPTiYR4aZyPx1mnaysjv6RE4PO1pT+v9tNPf+z09JmT6ile8IhoDqRCe44FHPHt1oYcyZIzDc4w09q4PYyAljAhtcYyXtEGSdC+vzVpN+kMinDznyLN1Tjf3NuCmC/2j33n2EK1k7/Z+zE2eob1zW9ffF8GaieymFgfryAZ2YKQkwAaWMyBfKT3A5QogVTaeJOZEHFoah/JQcEWnwvLlFXAQJ8rVc3niHvrQh05eDmGLRChm+Uo8E7xxiXzta1+bfuvgSTyK7Zm8HKxh/1LxbR00SFYqLHHWtJtWqTj4eOR4OlJZqtkzbwmCNfJt3ELk4RByTIVXQY4cYysVng5e58Q72Z7p29zmNreZPDdpPhjvJA8SUiA3LBH7RnNyhkWSO+mZSAXSa+/IPUpFDpO1KoybkF/PdQnC96Gr096kCLB0C+STrk4EyUPQGMAjvVbnPHtTZ+icuWzqb4pgzUR6E4uD9c0bwVJDTBKRoKuJr3j/Ax/4wGSI6UaWQ0IojUu9N5TWHnrCCSdMCp6llDYNFf7icaKcJWQnQjm7BfSEJzyh+6LA1udR7N5j5NBDoFmMyFqKK6+g3AuHXuJVbO8kYRYmSbijjSF8LPFYI+BUhJDlG1knqSxFsHiM5ZSNYOJCh8NcWZRUYCL/yk3RVHhLkHneo8Tb4rk8JkiRJtojBzAyz/PC0ElFDiZMGEkp2XNxQPiUsea/ibTyFYwbuCRifciPtW6lPyTJ+57LI4csItFJdMAYPIxHH330ZASnt6LnYLCJM3TOPDb5N0WwZqK97sUhcVE4AMlKQ0/yBJRiQI649NMDnMfIpucOT4kRVz4vmltdaX0kiemU4K/8yq9MybqpsBYdWLxgqQdMvpWDRn5Pb3L81nnzjPAqChOmorwE4styTUXelGRbh3BqQXs2Q0C4Iwkxtrmz5IU6RsojLEWwhEx8nxHPoPCe78PDkcpS34dx4vsod5AKXUIvnXnmmekQk9cXoUdweLMSQUroEvog9ap7rgsM9AHjrTdhvs27GX72YFruAFHjTXOjOPWoIcB0ibXm+yT5rd5J7TXrnleMx3Idsu4zdB1zHh2zCNZMBNe5OGwOFjMLjfJIRDjB4cCj4bBKXdfyUIQokZFDDjkkmcqUTMoTwGpN8z88mAfMfHg2ehNb28Q/+9nPTu9BgThsUkEgYKzEQyotxChkkuT3tOfe9KY3ndbLCElbwkNiPjwjlHJSl6e9Dy8aT00rSZLguxTBkngsuVs4ORXeEePwNI7IEh5G5EgI9/TTT4+nIk/Od0YqkrIk7cFqSAlJI6CpIDQu7UgYT8sLSHqXl6r8Q+qBMn/hSsZBKxicvJP3QBrTpHfPlIrBG4aU80YlN5uNwygQ/lS8uN26TN5pV79Z5xm65DyXHKsI1kw017U4KGMxcGGntIgdy471QaGrMZW6zykKByWClhbDA6dQAhKBOKYeI8VIf/Inf3I6GIQ8U0HyeGkQilTg6vYkopcWbvTsltzeyk0k85Ebd7nLXW5KuL3CFa6QDDH9Zokcn0ZqKPYRLxiPqTWsvlAqSxEshUaFa1KPgvnDg6FjTm69prJEjpwbpzxGbq+OfCN7Wl2vNNkdBki0XCHerDRkaRzGhT0wEqoXUuN9VeIkNSStWURE3p7QfypK4fAyynej8xKRBuFCA53A4En1rhCuSy/mlNaTK4L1bQSKYM1czesgWEJ6Dm45Ob21obZOW4IixefafqpEKQu3/SQbj7jfEUaFBd2ySRPBvZtwqXYjijamwnvViJEE2VTkB1HEqp6nwsqk/JDXkQRqv7dektIMW+dOeVKkyVXxNg7CiYintbzaOPIOkYC05pNxliJYvrU8RrfwRgTBEmYfaTXDo8fbY0+NiDC7G7gj+TUOf0YcwpZ6x70D3cB7NPKtGV/GELZHtFLhqaeD3aZNhSFJb7ohOUJIpDG4XEHPpOQIsZciIgdwJCTcyvvANw05nh+e6zhD0++2qd8VwZqJ9LoWh4RNCdgjwuVtcyX1crY+VzKsejlp7pax5ATw+Ix4V4wDb4omKS+x9Z0c/mkooY2DHJlPWpm7jaM0g2v7I/gaS+5GmhvX5uIiA1Kdhl7bONZeb02y7WvdmjGXkYN7ZP9s/a1vbd2NfqMlcFG7zVzSBOj2XkusF9+okdgRrIUbXZ5JSUR79hL7WnkP627Ey2g+bhTSvSNrxjyM48b1iNC9DNPRPbnEubT9PdZ1ho7gte7fFsGaifBOXBwzoak/KwQKgUKgECgEdovATjxDi2DN3BQ7cXHMhKb+rBAoBAqBQqAQKIK1DYEiWDM3RRGsmUDVnxUChUAhUAgUAtsQ2IlnaBGsmdtgTy8O+TuSbyV3pqIGjXykkcRF9a20vElFbSvzkBiaigKb8lJGimwqmTBy5VxOytbu9sm7WFPyQEYuA0j4HUngN2/JrEmPyfbOvqlvMpI/Ym2P1BczF7fT0hpL7V1G5yGP0fdM6yst8T2MMboufE95fiO5fvb5yK1b7zG6T90glm84ssf0DvQeI990VG9KxvcuabFlWLqUYn8k7ZsS/bb9N3v6DF3iHXrHKII1E7E9tTgc5OqT6EumkFySPN6qSrul4qZhkowpaVdleEnn6lMlgiS6yeQGUVqTygHomrbK7qnCU/xUrzjXmVNxuxGObiIl4ru6wfeoRz0qvuSgLpeigGrfpKIOz0knnTRUm6hV507LjJi7OmOwGDkIYaFgbypuhD3mMY8ZwkKdNAncaTuXhoX6cSOkVwkCtd/Smkgf+tCHJizcZEz0hfcY3SPGcHNRr8tUXyD/SkOo7ZQSeLW31GpTbFWCfiLqbSmlYK8lF0voCzcE3a7WPSG5JOAGqDI8SpCot5h+1+T9/WZPnaHpfJf4XRGsmSjuicVhQ7huS1FS2EmbCWO4Bq8+FlLhan6vfOxjH5vqtCgNoPyCQoy9wkviAFQ6gSWWkCPW7C1ucYuponpaJVt1erVrXGV2JT8RNWK8C6WdVj12FVqdI/WJ0qvmimE60EcKWipQ6LaaYpSJUPy8kZpgq5CdiBYqBxxwwFQaIS2069bTNa5xjamNSurRY8gce+yx0xpN+1XqOKDVlev26QFmTSFGSnKkos6UopGIQSLWJbJrnaYlZKwp64L+SuvqMcaUoGFEpJ5zZJM3jc5IeiEiaW7mWaPeJfGS0pv2iarviFri7aW/kU2Fhu0VN757xTnykpe8ZHXUUUdN/QeTMXqf2f5+T5yh6VyX+l0RrJlIbnpxOHS062heFkVAe4vQCVfYSK17PLd/75VkXjMK/0tf+tIUUvunf/qnmYh9+894jNS/cUWbBZbUnVFZnpI2Bsv6+OOP756HQ0/7Hp40Si6pC+T91bFy9V3o4HrXu173PChbh8XXv/71qT9bcphz91PWwqS+ayK+rYbiCrnybCaCbGrtlH5Xz0QSFbLkpWXhJ+J3+m/6r3ES8TuNr80n9cbBgacYLimp8D0YAr4Pr0UiyIDSLYyipBaXdclbjejZe4lRZX/QWcKM1lcSkrdPebF4jniSktQC+kJ/Sd0TNCVPWne17yq9Iql5xRCBoWKryr0gar3f1hmE9Po2sDRGL1FzjrQ0EzUPVaJXXX8TsukzdBPvdEHPKIJ1QQj93/++6cXBq+DgErZgjSYeG5YX600+BpLEGu0V+QsIBZL2sIc9LCpCquq4InyIgCrmveETyok17NCTs3TGGWesjjjiiK5XESY98cQTp56Gah0JgfTWH/NNWPOtEnura9UzEcqRF86BI4/MmL2eDt8VuUIY5dTxuPQKTB3kckN4fHh+EvFd3/rWt05KW9g2EaTX4enASfvdCSEpyOm/aY9Gz1fh23x4fBOBg0MMLgyLRHwPoVt96tKQfutxln62AAAgAElEQVQzieAgSL0eY+vDb+wV+1/R1N6D2P5oteMQaId5b3jMPpV3pEYaoiTU1hseoy94fRBGUQCtdnr3nN/xCCI41lnSWFkxUR5F5Mg6T+qb0T+IFd3lTOj9rtajM4Eudq4wBJIxknW96TM0mePSvymCNRPRTS4Oyk1YjwVISfNEJRak1iwOm9e97nWT5ycZg6eIxfb85z9/cpMneQw6vp988smrxz3ucZOiS5LsVbRWwVzOkzBn0g6Ia1xYjUUsjywpbCnHR2gPYU16qvm2FL458HAkbXOQNN8VUdXYm8ekV3gkVaa3RswjqVJvTcHAGpEXJ6TVe3A5hK0LeSHexzrrPYSRbq1/rDEHEC9Ub4FaOYbHHXfclHPEk+WdepOBfVteUaFj4WfrJOk5KUxqzz796U+fQqZJgVshfaSItxjp7CVH1pNefTw+vEgMmt5vawwYMI6QK970XkHw7FmefL3/eF16Re6TdapJuor2SWNyLarsW0am38tH7RX5o7yKdLvQPMLYKzzo1pQ9yxBIWhcZg+eLEcC7ac8l37Z37ps8Q3vntq6/L4I1E9lNLg65LM973vOmMEGa9Ks3lkPnXe96V0SKwOIQ50Uzj4ScGYP3zCZ+wxveELeIQQb0C4PJ0UcfPfOLfeef8cS5CSSMJPSaKhT9vpBESr/Xkm4zomCFTZ761KdGJM84EsLllSCNiSVsDHgiePo9pmP4rkhv84AluAqbCJkiSkhKMsZoq5z2XEREWC25/WYMwgOleW/aMNdatcbuete7TjlhiRgDGeEtER5LBLmRq4jQO4QT4TnmtaFL0ssYcEXQkHBrJV2riC8CTiclpNX7axnEqBnpYShFgPf4ta99bbcnvn0DN2aFOvXv5B1MRHSElxQmPPvrlk2eoet+l7njF8GaidSmFscpp5wyKTUbOclZ8DpIFatVg2PhqERYbPIdWGwSKxOhXM0DwWKNp6IBr5IILPLk8PVchBNxRQRSl3jLnXJxgDcvEda08I0QVJIL0p7pt4iNsEUqFCtrmGcgFV4B3haHRSpCLrwlPLWpjBKs9lxJv7xYblulonk7w2SkH5xbhLx7SVi/zZsuQfSECFPxWyGlkcR/Xhu4prlc5i6ULixmD6eEAlFrl2RGGou7xSe6gDSmRpYEc1504yQefZjQh3Jb7R83JRPhzZKHST+P6JI5z97UGTpnLpv6myJYM5HexOJg4fHQcKnzlCTihp7N5vDlDk+EIhLyQWaQtJTUUCKSjm3i3pBNmzeLVbNa+T2JV8E4cpbcMBP24RVIheeLCEWlImTjkEAYU1wddvIn5FGM9FnklRSmcNMrFeTXe4wcWDwLMJG7lMpSBEvOkrmknlLzXwITYXleSqQ+lSXWCV1g78BEoncqwq/ICE9UKm7OyWOyd1IjideXfhzRJzytjF8kODU+l9Kx8kqRaEZ1WhdwiXNnzjfdxBk6Zx6b/JsiWDPRXvfiWMKSaEntrv3LWUgP8CWsK6UdHOAIGgs4kaUsToSIl4ZiTsMLS1jhMODdkDTMM5jKEp4J69nNLCUe0jB0e59Rb41QJeKZhpDMYymCxbCRC5aG5sxlCa+e8I2ad95rpNjnEp5OOXKS/0e8lEt4f4U9kT3heYQtlSU84hLMeY9c/um9ydfmrXioKMHv//7vDxE1+ZwM6zTp3Xxa5MSFlTQd5IK+x7rP0At6/p7434tgzUR9nYujxcJ5SNJ8Ca/RktopwySp1RgtP8DtkrS4H2IkT4HiGbFYeTZg4kZVmjMhtCB/i+WbXr2Hi0NmJI/EGDwKDk3vc8UrXnHmyvvuP5NIrZ4PD0cq8q7kggl3johimCzoNBTt2S4v8Cgkyfpt7ksRLMnhSIlcvVSEbniQfecRsVaEtuVjpUKfMCwkqqfCWLKHkPERj2nLXxwxLpTQ4ImWR9V7GaK9/xI5ncaimz7xiU9MFwFSY3aJPFceNTdg06T3hgt90nJ/eciXlnWeoUvPdanximDNRHJdi8O4S9zmaEntEnSTQnhgkB8kHJfecGlQSoilBLnje29itTHUiBISFOZ0EymVZz/72dNNG5ZmcmvQc5E0hEg+THITqs1dUjvSmF7fNw4v5aUudanJ2zOSwyXxWKLuyMELFzW8FJEdIYyu3iNICimmshTBckMVmU+7FZi/siQIiUr7aSjLOIi0sg88NqnIe0J+eWBH5kJH8djID03FDVz4wiclRxLvGRcu8IzqBbebpSCk1e7lyJkL44uxkkq7qU13JzXxPFfSO91N143kqHkPeoEna8Rzen5YrOsMTXHfxO+KYM1EeR2Lw2Hpuj+lwf2eKp2W1C5vg+coFdePKRwEIA2lyQtCjNSNGSEjCIBr/94tJUZImoNOHhg3eiqSnll3EuTTpFbPdljK2Wi5XMl8WLzeRaXtkbmoBeTq/f3vf/9kGtNv4KHQKmKefiPjSLbnGXFQpbIUweJdQUZGksvtZwelsH9aVR4Obs1JYFYZPhUXTaQM2EupR9qzeaIZK2mtM2OYCzzk/WkTlYr0Bx5GxP7CF75wNIxvJBfLXhohsPJlJYfTm2moXegTgRWaS0q/NAB40pT1GEl6ZzRJY6D/EeIRUr79w6zjDI0+/gZ/VARrJtjrWBxc1Q44CcKpp8f03eLiMpdbkAqFo/4PyzDNKfBsXiuhnrRtSpu/sJPD2w2XVByUwk/yr0bICMXFDc+zlwol6iq0xNi0n5lnsy5Zumn7kjZ/3iIHbnpxwDjCI751UhNoK44MA145h0wqyLSEX96w1CPh2YwLuTG8NSPCOyIpPOkd2p5rLzksk/ZWW+eOLCpM29sJYusYvDX2EnKUGl/G047IhZdb3vKWMbyIGs+2f9ZNKrw0SHCaqN6ea18riTHSiFkY1jmAVI8YKzxYSGzaRcA7MVZ4KtWTS1Mzzu+brOMMTb/9pn5XBGsm0jtxccyEpv6sECgECoFCoBDYLQI78QwtgjVzU+zExTETmvqzQqAQKAQKgUKgCNY2BIpgzdwUewPB0pokab3RXlGYSuLtSPIi9/FIOLO5oEfGECKQ95PW1jIHzZpHcDCGsOHIHNy29B7pjU9zUGV75Pd7yxhLvAcs0yThtkdG5zH6+73le1jb1lV6O26J/bHEPvUe1sRIisDeoPPoK+3BRsKzo+fHzKNyl3+2N5yho+/Q+/siWDMR25OLg9KW1Kn4Z3odXikIuRxujSV9/MDkRpLk9ZGq7OqtUBJpyQTkyntIgk/zL3xL+Rsjt9bcSnSTb+RWlSvREt9Vuk9FDp9ciVQQbrlLIzlzcsKUe5Bgm4o5yIW52MUulg6xevjDHz6UKG9dyP2Tx5WKHCM3Kt3oSkVpBXNI96nnjq6L97znPVO+30g9MLdmtQtKO1J4D3td7le6LuRhWhf2ekqy6Dw5qiOVzlV/d7svvflrnyoh4qJBWkJB+RAXJuQHjhplydrek2doMt8lflMEayaKe2px6ANoY/I+uTWTKAn94hRPdKtPNeREFIKkbN1ySa8B29iSvCV0Jon0yJVDWNK5MRJpt2Tc+EkaLXumywkUJZKWJpurkYRYISdpcqzvKpGaZZqKw0si9WmnnZYOMc3BIeogS4Qnb7R/n8R039Qt1rT1yNa+iqnnRpNnyen2SyoKt7rhOVKLS3IyYyrth+gdJMYjWWqdJSK53p63xtOLHVooqR83csuarnEzDnlOvitdc6UrXWkieuk3UUYHWVTCJmlYDX9dKNQnRPgSQ5v+VMLHzUD1xPT/3KTsqTN0k++4/VlFsGaiv+nFgVDxKvDUtIapvdeJWV3KCyiy6RBT6be3qrpnq9NiHsjd5z73uW7PkTEQKzdkrnzlK081W3rF/PV2Y4m64fXyl7+8d4gJRwpbg2S3obxXrxhDaQ2KjjWo3EGvKM/hdiSPICxg0issWte6EQqhsUQQRc/2L71+7/BxALvurpxFImeeeeaEh7WaFtp1YCD+/pt6Rz3fnjMfhRsTUX4AsfFdEyPCM3k14XrOOefExIT366CDDppuySW3Ks3fd3UI64uahKbsD1535MaV/8Q4tE+tCQYigygZg77QUYJxpsp+QrLsEfW73JhNbiXzpCmXQX8oBeK9et+F/kaszJ8xA5feG4f0uOd7tgryxki+bbI3Nn2GJnNc+jdFsGYiuicWR1NQNkBSRdmc1RZiRR5wwAHTtfreDclrxr3Na6QBLm9Hr6jdxHpTN0mLi6SXn9CiEhKui1MSvWTTnCklBSQpObV0ktpYrmTzUhDexcQKbAe5MYRuk/o5FCMlTdki0smhQcHCw/PNIxHfxPVy3jhhpUTUX1NnibeFFykR4RO1nvw3rQjv+cK+5pPWI4IDrw9c0tCt76HOme/DOOoVxkg7vK2TpOK/9YCgkZT42h+HHXbYNIZ9k4Sh7VMen0YI2t7rwaSRCl40azUJ9dFbvE8aTgvT8TD2Cv2JrCpR8YxnPKPbM2if+yY8ejxp9Flv6LR1k2DApwZi73u3v98TZ2g616V+VwRrJpKbXhw2gjwOiprHI8kLYTXpdaWFjg2VhHCEXlQr5vmh+M2nV3hKKCbWl/osrNFekWjKva04oHpdiYtcoujBBx88jSN8wVPQIw6uf/zHf5wODeMgnUIHPUJJqvskrAZP4/VeXBDmlN9iTWjwijj3FqnlAaOk9Z1U5JMnrNeilhvIW6Q6vXpPvC69Y/C+ITZnnXXW9F2Q8F4jAB6+pWKPQpW8cb142B/WKK8R7xWi1ZsDhbjzWjGGNNDmTevNdbE+5NjwFPPYMo565/GNb3xjWp/608lts2d78bDv1c2yLpAcXqDe7wJL+9361L5LXbteQ8C3VLHdWOeee250MUXuEbJrLOP0khL7W1jOfmcAqDmYhDztWXhaF0KwvfvePBBMIT55sHTHpS996R71M/0to8oYyCZMRtof9Tx802doz9zW9bdFsGYiu8nF4cDQt4uStLFJr2Ki7OVcuUHDst9q1c585enPkCHkhovfIZRU9uUBc3BSdA725KaXcB7vmYMPPr0Hl3cRohS+eeMb3zgRgd6DyxgS0ym3M844Y5pDUklaeJMHTqFDuTK9h595wEFOhjCjZP9kDL9lTSMm8paSMfS5Q24kuTu4evFAKHhrEDREXDirN6SFUCDPDhtGhXn0votCpdamQw9BEs7pJRTmQU94F14sjYl7xdpuRo39kiRFG+MLX/jC9FthNbqkV4zhewjdImnJBQaYItC8PS6DJAnzfk936bPHKEk6DzAErEs9Hc2F57dXzIO+YNjJmUwu+jCURSOkGCBoTbf3zIVedxb4Htab3MneswGeTbdb63RJ737pmXP7202eocn81vGbIlgzUd3k4mC5ygNh1SdkxCux2FT1pejTarw8E3pTjbSB8HweH//lIUiENc+7IQehhRx6x3FgyKOgGEeqdAsJyvXxjVIRmpTfkoR/2jMl2PNQpJcWjCPpV24KXFORfMwTxiJPRZ7Q4YcfPpGTVJZqlaN0B2/LyM03BzAyL/coFV496/S3fuu30iEmAo4oIkipCFPy+vBipSLvCZkQMkyFUaJThbmkZIA+RZDkl6Vemw996ENTONwaSSvjC79aX9Iejj766AgS5NfzEdckquChSCNvLRLtG61bNnmGrvtd5o5fBGsmUptaHOL8Diw9+HrDT+1V/FbbEZZJmqzbrGg3Z9Jbg6wteQfmMtI893d+53cmrwLClwoiIjkVEegNY7VnIonw5OZPQgRNqfG0INCpgjaOUClrPgm3tveRVyLEOPJt5JLwtIzcQuSZFIIWAkplKYLFayxZ37pNxS1AoTHrNhXhX16oJF+xPROpEQaiD1J573vfO2GBzKfGnrxJ4XCkRMpCIjyd2jrx/CKOqSA0vrF1m4pvI5fKuk11iVuFjKQ0VGjudAgizhNOHyQicV8qin6tIw2r5zx7U2fonLls6m+KYM1EehOL4x3veMfkxpZ82Hvbr72GeQrZODyTRPA2ztbQYK8Luo3BQpPcKoyUhPSMw2KlWOUKyAVLBNEzBuIKl1TcQhL2QIJTaeFBIdMUVwcvC5wlzEORCoInL2+kxyILWsiBtzQV610yNgKbylIECwGQ55LcDm1zl/MovCjnJhVhfcnZCE4qQq+SopGjtHRFK6GRhgnb3B3eCJqcv1SQTZ5BHvWU2KhfJ3RqjOT2rrkrXspL6QJRkjBvDLiOhAobhtYIfeSCSZJbZhyGOOIp7UFpjnXJJs7Qdc09HXefI1hcoxSYLuaEImSN7M6jIEnSIuJ5UHmbF4I3oydHYt2LY2tSuyTuRGxaxEgeCq9CqoSWCA2yWltto5ED3PsICYyEwryPkB6y1psj1L6DPA43MSW53vCGN0w+z/SbJcKDDl95JEJrqSCKwmESdlNPadt/cnxGGo37tnKFKPhUliJYcnR4SEa8JLxG3gVxTMVaFVKXW9abk7b1mUJRbgGO7MElwoS8V/L96ODU2JJzZK0q1ZKG1mDj28onTXKgGrb2IA8lQyn1Zi8RKuTZO/LIIyeDy/ukRhsP1rqT3td9hqZ7bZ2/2+cIFte7cJFbYMSVapWTJWHvSvwtMsU1rCgjhcNa5h6dm8i6zsWxPak93SQOKm5nt0uQgUSWCA167tbE9vR9Wv4WJebbJYJ0yttywKhhk0pLbjen9H3kPCwRHrTmGQppGQAYtAR33zt9H+M4wIUYWeOpeA/hjqS2WXvmUgRL3pOQWJrXYj6MP7WGRgiwdcvrlCa6N1y8h3WXlp0wzhJhQu/DO5gmu7f3cavSLVz5VOm6FYp2HsgJS0OW3mck4b29zxKhQp5K7yGdIzUMmnG+zqT3dZ6hqe5Z9+/2KYIl1CTUs7X+UKu1IvlwbhL12WefPS1INZ4kT8+RdS4O3hUKwyGT5jl4f65vlhVLMRUeI+/qkEgV2BKJ7eYvSZgiHCESb37zm6dih5Rq6kI3lyWS25cID5qL0Iak1JEk6iUS3Cll3giVutPwrfdxQ9QhMZJvtBTBEkJWJiG5adb2nDCU9SKUlO4hYy2R6O4SAo9/Uty3vc9SYcIlkt3pJsYW/SS3MxXEk/cWPqkskfC+VKjwda973VQDTr7d3HNw+3uvO+l9nWdo+g3X/bt9imCJNUvsFX7aKly08h3mJOkJ9cg74b63QebeSFnX4mhJ7XKMeOISEe6h0LmKWTGpLBEaXCqxHTHiFREqSXsOwoHHU07ayI29JZLbzWWJ8GALHQmVjzSaXiLBXVibp9SeSg0DuAi1uALPO5HKUgSLl1MoaiQJujXwhk96Ww0OSyS6CzEqPcELnOYcmcsSYcIlkt3bXOxJ3RRSkUbBuHY5Y4SoLZHwvkSoEA5yTN0I5nRIw8rrTHpf1xmaroFN/G6fIlgS+iROszy2ilwf5Gp3Sd0sdu1aHAa8IjbW7rxXlKx/TVp9G4p8xBOydd4U8CGHHDJdlU+T2o2HVPGOuE0ylzBuX1xi+SwfSenprUFjKsYnhDWS2G4cuXU8ckk7m/ZuvFY8KyPXsptC961GktvVwJGQfvrppw/dHpRnIeSdVNTf+s3lkSETI7k5wowKaqZV4Nt8rDd70iGeylIECxFHRtI+lW3+bs0xWEaShnmjeW/lL42IkKdOCiM3ToUJedR4GpNaeG3+9DRsRgyeVrZFonrajsh8eCl5fFo+b4JxS3jXiWAkciBU6HJFUmi3zVuqiZIL9rSzLhX5yva1fqkjl2i2P78IVvpFBn+3tXXIroYShpBgbCFahFsFSWGR767aOQXsNg0FIaHPoSAktyumv6s5LUmwvIPq16nnauvG4tEYsZaN1dq2jIQ1uLwpwNGNSXFJ0h/xjHgnOUbpDaqGL68cT8DFL37xoZVOwUgsH8HXBBgJaaJwewGE2nuNHJbGotRTUt/mYs2Yy9x8yKGPcAE/hot1N/qNlsAFKTeXUVyWWC++kT0walzSn/ZAegGnfb4l9jVPo3U34gk2n+apHFkz8HUBQHh6RMyFx3J0Ty5xLhXBWq32Cg+Wa+f+7U6QEE16R0OE7VBQfFPOx646m2/CgzWykeq3hUAhUAgUAoXAvoJAebD28i/VktzVi2qud/+3cEdPkjvrUt6WsOHcWxc7cXHs5cuhplcIFAKFQCGwjyCwE8/QvcKD1bM+JC1zpbZrx/J9xOFbmQZhLnV55FAgYZKCTz311OlKrSvy/nc1sOQrIWwqWc+Rnbg45uBSf1MIFAKFQCFQCFwQAjvxDN3nCJY6VtsLjbr+24q9iR0rRqfQn6KByNjd7373qRJ4y1Nya0Qyd8911p24OC5ow9T/XggUAoVAIVAIzEFgJ56h+xzBmvMh1/E3O3FxrAPHGrMQKAQKgUJg5yGwE8/QIlgz1/lOXBwzoak/KwQKgUKgECgEdovATjxDi2DN3BQ7cXHMhKb+rBAoBAqBQqAQKIK1DYEiWDM3RRGsmUDVnxUChUAhUAgUAtsQ2IlnaBGsmdtgJy6OmdDUnxUChUAhUAgUAuXBKg9WtguKYGW41a8KgUKgECgECoGdeIaWB2vmut+Ji2MmNPVnhUAhUAgUAoVAebDKg5XtgiJYGW71q0KgECgECoFCYCeeoeXBmrnud+LimAlN/VkhUAgUAoVAIVAerPJgZbugCFaGW/2qECgECoFCoBDYiWdoebBmrvuduDhmQlN/VggUAoVAIVAIlAerPFjZLiiCleFWvyoECoFCoBAoBHbiGVoerJnrficujpnQ1J8VAoVAIVAIFALlwSoPVrYLimBluNWvCoFCoBAoBAqBnXiGlgdr5rrfiYtjJjT1Z4VAIVAIFAKFQHmwyoOV7YKvfOUrqx/90R9dfeITn1hd7GIXywapXxUChUAhUAgUAjsQAU6KK1zhCqsvf/nLq4tf/OI7AoHyYM38zJ/85CenxVFSCBQChUAhUAgUAhkCnBQHHXRQ9uN97FdFsGZ+sG9961urT3/606uLXvSiq+/5nu+Z+avd/1lj9OUV+26cCpvzXzuFy673VGFTa6ZHMdd62exe+t///d/VV7/61dWBBx64+t7v/d6eT7XP/m0RrD346Sqva/cbnBtZaLZCst/GqdZMrZlelVVrZtfEs3RMYdO7n3r+vghWD1oL/20pvjose5dUrZlaM7VmehEoEtGLWOmZXsTO/++LYC2DYzRKLeI6LHsXTq2ZWjO1ZnoRKILVi1jpmV7EimAtg9iCo3zjG99YnXDCCauHPvShqwtf+MILjrzvD1XYnP83LFx2vbYLm1ozPZqv1kvtpZ71kvxtebAS1Oo3hUAhUAgUAoVAIVAI7AaBIli1PAqBQqAQKAQKgUKgEFgYgSJYCwNawxUChUAhUAgUAoVAIVAEq9ZAIVAIFAKFQCFQCBQCCyNQBGthQGu4QqAQKAQKgUKgECgEimBteA186UtfWt3nPvdZvfrVr56e/Iu/+IurZzzjGVOfw13Jb/zGb6z+7u/+bqok/yM/8iOrn/3Zn1098YlPXF3jGtfY8OzX97heXL74xS+uHvnIR67e8IY3TP0hL3WpS61+6Zd+afXYxz52v+tz1YuNr/Sc5zxn9ZKXvGT1nve8Z6qebIzdrbH1fdnlRn7Ws561evKTn7z6zGc+s7r2ta+9+sM//MPVjW50o10+4OUvf/nq+OOPX330ox9dXeUqV1k9/vGPXx1zzDHLTWgvGqkHmw984AOrRzziEat3v/vdq3PPPXf11Kc+dfW7v/u7e9HbLDeVHlye+9znrv70T/909f73v3+awKGHHrp6whOesLrBDW6w3IT2opF6sHnFK14xYfGRj3xk9d///d+rQw45ZPWABzxgdec733kveqO9bypFsDb8TX7hF35hpa+hA5Dc8573XF3xildcveY1r9nlTPwtMnXwwQevEItHPepRq/e9732rf/u3f1t93/d934bfYD2P68WFEkSw7nrXu66uda1rTQfFb/7mb66ud73rrV72spetZ5J7aNRebEwT+fj6178+zVgZkH2dYJ166qmTMncoHH744as/+ZM/WZ188smrD37wg9O+2C5vf/vbJ/KFcCNVr3zlKydS8ba3vW31Mz/zM3voS67nsb3YvPOd71z9xV/8xUQg7ne/+60e/OAH75cEqxeXO93pTtPaYsD+4A/+4OpJT3rSCrFASC9/+cuv5+PtoVF7sXnTm9406RDn0IUudKHVaaedNhGs1772tasjjzxyD73F3v/YIlgb/Eb//M//PJGBv//7vz9Pyfu/DzvssNWHPvSh1dWvfvVZszn77LNXP/ETPzFZEyzzfV2WwuUv//IvV7/2a7+2+q//+q/V93//9+/rsEzzH8WGYrzJTW6yzxMspOj617/+6o//+I/P+67XvOY1J6+lWnLb5Xa3u91KscTXve515/1Pt7zlLVeXuMQlVi996Uv3i7XRXqIXm60vz7jjvdofPVgjuMDof/7nf6b18kd/9Eeru9zlLrVmtiFgP9761reejJiS80egCNYGV8bzn//81f3vf//Vl7/85e94qtANN/3d7na3C5wN8vDwhz989apXvWoiZayJfV2WwAUGPBq8NZ///Of3dUjOm/8oNvsDwfrmN7+5ushFLrJCoLeG+O573/tOntw3v/nN3/W9ebV4Z/xrYo/x7PF27i+SYLMTCNYoLjASWr/MZS4zrbujjjpqf1kyq1FsNG1+4xvfOKW3/NVf/dXq5je/+X6DzdIvUgRraUR3M54Y9imnnLL68Ic//B1/dbWrXW0iV8jBrkRo5EEPetDkneGm5aLdH7xX3ncEl4bXf/zHf0weDmGkxz3ucRv8qut91Cg2+wPBknsoRHPmmWdO4ZsmsHnhC1+4+pd/+Zfv+ggMD3vtjne843n/m5w0+0wF7/1FEmx2AsEaxQVG97rXvVavf/3rp5wsIcP9RVJsvvKVr0z70P6RmuJMOvbYY/cXWNbyHkWwFoBVTtSjH/3o3Y4k70FC9vkdCNk546gAAAaFSURBVBIGjzvuuNVDHvKQXY5hcf/7v//7lOB70kknrT71qU9NB87evPE3gQvAhIJucYtbTO58lwd+4Ad+YIGvut4hNoXN/kSwzjrrrCmc3kTS+ote9KLJk7tdECx77Q53uMN5/9OLX/ziaZ+13LT1fuHNjN4Oyx5sdhLBSnGRf3XiiSeu7B95nfuTpGvmW9/61uqcc85Z/ed//ufq9NNPn0KDPFhHHHHE/gTPou9SBGsBOL/whS+s/NudyHVgQY+GCD2DixeZEBLbeoAs8CqLDrEJXLjxJVkKIfHq7c2Ecyu4m8DG8/YHgpWENCpEuOvw6U4gWMmaabgwYHnB3dz+qZ/6qUV14t4w2Ag2W+d/97vffbrBzctXcv4IFMHa4MpoCcvveMc7zrv66/++4Q1v2JXkboPI2+KidYtuX5cUF54r5Eqj7L/+67+eSNb+Jik2DYf9gWB5FwnLbr1Z801cGDn66KN3meSOfFsXTdzGtG/2xyT3Hmx2AsFK1ozfKAOCXCEN9PL+Kr376fxw4A1WAoWOKSmCtVesAUqei9Y1c6JMw4//+I+fV6ZB6O9mN7vZVI9F/RUuWVdqhcAufelLT6FBNbDe+ta3TjfMJGHuD9KLi8NTcuXXvva16Qr+D//wD58HA5z2l/IVXqoXG7/57Gc/O/1717vetbrHPe6xestb3rK66EUvOpU0uOQlL7nPLZl2rfzZz372FCZUukTdIlfo7R+3vOSHtBuFQkM3vvGNp9pXSJhLIS6H7M9lGuZiw0BT3oLc6la3WilP4J8ae1e96lX3ubWxqwn3rhlhQXXTRBqUa2gCF//2J+nFxr7izZP3a/0wXJT3cKuXJ6ukCNZesQbUsdpeaNQ14FYE8mMf+9jqSle60uqMM86YYtvImAWsKKA6JJe97GWng0NNn7llHfaKF7+ASfTi0jwz5zes+mBCsvuL9GLjvXeV4/WCF7xgn/V68l45BOUhXuc615lu3toLxF7xzSW2N1EPDalipLRCo7/8y7+8vyyL73iPHmyajtkOxM/93M/td96IHlysn/O7Yarenv20v0kPNvYRUqaG4w/90A9NF63c4lUOpWTXCFSIsFZHIVAIFAKFQCFQCBQCCyNQBGthQGu4QqAQKAQKgUKgECgEimDVGigECoFCoBAoBAqBQmBhBIpgLQxoDVcIFAKFQCFQCBQChUARrFoDhUAhUAgUAoVAIVAILIxAEayFAa3hCoFCoBAoBAqBQqAQKIJVa6AQKAQKgUKgECgECoGFESiCtTCgNVwhUAgUAoVAIVAIFAJFsGoNFAKFQCFQCBQChUAhsDACRbAWBrSGKwQKgUKgECgECoFCoAhWrYFCoBAoBAqBQqAQKAQWRqAI1sKA1nCFQCFQCBQChUAhUAgUwao1UAgUAoVAIVAIFAKFwMIIFMFaGNAarhAoBAqBQqAQKAQKgSJYtQYKgUKgECgECoFCoBBYGIEiWAsDWsMVAoVAIVAIFAKFQCFQBKvWQCFQCBQChUAhUAgUAgsjUARrYUBruEKgECgECoFCoBAoBIpg1RooBAqBQqAQKAQKgUJgYQSKYC0MaA1XCBQChUAhUAgUAoVAEaxaA4VAIVAIFAKFQCFQCCyMQBGshQGt4QqBQqAQKAQKgUKgECiCVWugECgECoFCoBAoBAqBhREogrUwoDVcIVAIFAKFQCFQCBQCRbBqDRQChUAhUAgUAoVAIbAwAkWwFga0hisECoFCoBAoBAqBQqAIVq2BQqAQKAQKgUKgECgEFkagCNbCgNZwhUAhUAgUAoVAIVAIFMGqNVAIFAKFQCFQCBQChcDCCBTBWhjQGq4QKAQKgUKgECgECoEiWLUGCoFCoBAoBAqBQqAQWBiBIlgLA1rDFQKFQCFQCBQChUAhUASr1kAhUAgUAoVAIVAIFAILI1AEa2FAa7hCoBAoBAqBQqAQKASKYNUaKAQKgUKgECgECoFCYGEEimAtDGgNVwgUAoVAIVAIFAKFQBGsWgOFQCFQCBQChUAhUAgsjEARrIUBreEKgUKgECgECoFCoBAoglVroBAoBAqBQqAQKAQKgYURKIK1MKA1XCFQCBQChUAhUAgUAkWwag0UAoVAIVAIFAKFQCGwMAJFsBYGtIYrBAqBQqAQKAQKgUKgCFatgUKgECgECoFCoBAoBBZGoAjWwoDWcIVAIVAIFAKFQCFQCBTBqjVQCBQChUAhUAgUAoXAwgj8PwIRCMCYID0lAAAAAElFTkSuQmCC\" width=\"600\">"
          },
          "metadata": {}
        }
      ]
    },
    {
      "metadata": {
        "ExecuteTime": {
          "end_time": "2018-06-06T12:56:31.337070Z",
          "start_time": "2018-06-06T12:56:31.304983Z"
        },
        "trusted": false
      },
      "cell_type": "code",
      "source": "def f(w0, w1):\n    return 1*(w0**2)+80*(w1**2)\n\ndef dfdw0(w0, w1):\n    return 2*w0\n\ndef dfdw1(w0, w1):\n    return 160*w1\n\ndraw_quiver_with_optim(Momentum,0.01,-0.24,0.2,20,0.3,25,dfdw0,dfdw1,0.9)",
      "execution_count": 13,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": "/* Put everything inside the global mpl namespace */\nwindow.mpl = {};\n\n\nmpl.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\nmpl.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\nmpl.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\nmpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n\n}\n\n\nmpl.figure.prototype._root_extra_style = function(canvas_div) {\n\n}\n\nmpl.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\nmpl.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\nmpl.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\nmpl.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\nmpl.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\nmpl.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\nmpl.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\nmpl.figure.prototype.handle_rubberband = function(fig, msg) {\n    var x0 = msg['x0'] / mpl.ratio;\n    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n    var x1 = msg['x1'] / mpl.ratio;\n    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n    x0 = Math.floor(x0) + 0.5;\n    y0 = Math.floor(y0) + 0.5;\n    x1 = Math.floor(x1) + 0.5;\n    y1 = Math.floor(y1) + 0.5;\n    var min_x = Math.min(x0, x1);\n    var min_y = Math.min(y0, y1);\n    var width = Math.abs(x1 - x0);\n    var height = Math.abs(y1 - y0);\n\n    fig.rubberband_context.clearRect(\n        0, 0, fig.canvas.width, fig.canvas.height);\n\n    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n}\n\nmpl.figure.prototype.handle_figure_label = function(fig, msg) {\n    // Updates the figure title.\n    fig.header.textContent = msg['label'];\n}\n\nmpl.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\nmpl.figure.prototype.handle_message = function(fig, msg) {\n    fig.message.textContent = msg['message'];\n}\n\nmpl.figure.prototype.handle_draw = function(fig, msg) {\n    // Request the server to send over a new figure.\n    fig.send_draw_message();\n}\n\nmpl.figure.prototype.handle_image_mode = function(fig, msg) {\n    fig.image_mode = msg['mode'];\n}\n\nmpl.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.\nmpl.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\nmpl.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 */\nfunction 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\nmpl.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\nmpl.figure.prototype._key_event_extra = function(event, name) {\n    // Handle any extra behaviour associated with a key event\n}\n\nmpl.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\nmpl.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\nmpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n    this.message.textContent = tooltip;\n};\nmpl.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\nmpl.extensions = [\"eps\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\"];\n\nmpl.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\nmpl.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\nmpl.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\nmpl.figure.prototype.close_ws = function(fig, msg){\n    fig.send_message('closing', msg);\n    // fig.ws.close()\n}\n\nmpl.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\nmpl.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\nmpl.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\nmpl.figure.prototype._root_extra_style = function(el){\n    var fig = this\n    el.on(\"remove\", function(){\n\tfig.close_ws(fig, {});\n    });\n}\n\nmpl.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\nmpl.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\nmpl.figure.prototype.handle_save = function(fig, msg) {\n    fig.ondownload(fig, null);\n}\n\n\nmpl.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.\nif (IPython.notebook.kernel != null) {\n    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n}\n",
            "text/plain": "<IPython.core.display.Javascript object>"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
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\" width=\"600\">"
          },
          "metadata": {}
        }
      ]
    },
    {
      "metadata": {},
      "cell_type": "markdown",
      "source": "## AdaGrad\n$$\nh = h+g^2 \\\\\nW = W-\\eta \\frac{1}{\\sqrt{h+\\varepsilon}}g\n$$"
    },
    {
      "metadata": {
        "ExecuteTime": {
          "end_time": "2018-06-06T12:56:33.420046Z",
          "start_time": "2018-06-06T12:56:33.415534Z"
        },
        "trusted": false
      },
      "cell_type": "code",
      "source": "def AdaGrad(x0,y0,learning_rate,epochs,partial_x,partial_y,*args):\n    vx = 0\n    vy = 0\n    xs = [x0]\n    ys = [y0]\n    hx = 0\n    hy = 0\n    for i in range(epochs):\n        gx = partial_x(xs[-1], ys[-1])\n        gy = partial_y(xs[-1], ys[-1])\n        hx = hx + gx**2\n        hy = hy + gy**2\n        x_new = xs[-1] - learning_rate*gx/math.sqrt(hx+1e-8)\n        y_new = ys[-1] - learning_rate*gy/math.sqrt(hy+1e-8)\n        xs.append(x_new)\n        ys.append(y_new)\n    return xs, ys",
      "execution_count": 14,
      "outputs": []
    },
    {
      "metadata": {
        "ExecuteTime": {
          "end_time": "2018-06-06T12:56:34.141043Z",
          "start_time": "2018-06-06T12:56:34.109460Z"
        },
        "trusted": false
      },
      "cell_type": "code",
      "source": "def f(w0, w1):\n    return 0.8*(w0**2)+(w1**2)\n\ndef dfdw0(w0, w1):\n    return 1.6*w0\n\ndef dfdw1(w0, w1):\n    return 2*w1\n\ndraw_quiver_with_optim(AdaGrad,0.05,-0.2,0.25,20,0.3,25,dfdw0,dfdw1)",
      "execution_count": 15,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": "/* Put everything inside the global mpl namespace */\nwindow.mpl = {};\n\n\nmpl.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\nmpl.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