assets/notebooks/secretary_problem.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import seaborn as sns\n",
    "\n",
    "from secretary_problem import Simulation, Trials\n",
    "\n",
    "sns.set(font_scale=1.2)\n",
    "sns.set_style(\"whitegrid\", {'grid.linestyle':'--'})\n",
    "%matplotlib notebook"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Produce results at different thresholds"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Testing threshold 99 out of 99...\n",
      "All done!\n"
     ]
    }
   ],
   "source": [
    "n_trials = 10000  # number of trials at each threshold\n",
    "n_candidates = 1000  # number of candidate for each simulation\n",
    "\n",
    "thresholds = np.arange(0.01, 1., 0.01)\n",
    "results_all_thresholds = []\n",
    "\n",
    "for i, t in enumerate(thresholds):\n",
    "    print('Testing threshold {} out of {}...'.format(i + 1, len(thresholds)), end='\\r')\n",
    "    T = Trials(n_trials=n_trials,\n",
    "               n_candidates=n_candidates,\n",
    "               threshold=t,\n",
    "               n_jobs=12)\n",
    "    T.run()\n",
    "    results_all_thresholds.append(T.results)\n",
    "print('\\nAll done!')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support. ' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>');\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option);\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width / mpl.ratio, fig.canvas.height / mpl.ratio);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>');\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<img src=\"data:image/png;base64,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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plot success rates at different thresholds\n",
    "rate_mean = np.mean(results_all_thresholds, axis=1)\n",
    "rate_std = [x * (1 - x) / np.sqrt(n_trials) for x in rate_mean]\n",
    "sns.scatterplot(x=thresholds, y=rate_mean, color='royalblue', alpha=0.7)\n",
    "\n",
    "# # brute-force for std\n",
    "# for x, m, s in zip(thresholds, rate_mean, rate_std):\n",
    "#     sns.lineplot(x=[x, x], y=[m - s, m + s], color='royalblue', alpha=0.7\n",
    "\n",
    "# therotical line\n",
    "x = np.arange(0.01, 1., 0.001)\n",
    "y = [-1. * e * np.log(e) for e in x]\n",
    "sns.lineplot(x=x, y=y, color='firebrick', alpha=0.7)\n",
    "sns.lineplot(x=[np.exp(-1)] * 2, y=[0, 0.4], color='darkgreen', alpha=0.9)\n",
    "plt.xlabel('Threshold')\n",
    "plt.ylabel('Success rate')\n",
    "plt.tight_layout()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.7"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}