opt_ball_penalty.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 3次元球面上の最適化 (ペナルティ項)\n",
    "\n",
    "$\\mathrm{argmin}_{\\bf x \\in \\mathbb{R}^3} - x[2] + \\gamma |(1-||x||_2)|$"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "%matplotlib notebook\n",
    "import pylab as plt\n",
    "from mpl_toolkits.mplot3d import Axes3D\n",
    "import numpy as np\n",
    "\n",
    "import torch\n",
    "from torch.autograd import Variable"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "lr = 0.01\n",
    "nb_epoch = 1000\n",
    "γ = 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "init_x = np.random.randn(3)\n",
    "init_x /= np.linalg.norm(init_x)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([  5.31967416e-05,   3.33191572e-05,   1.02169939e+00])"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "hist_penalty = []\n",
    "x = Variable(torch.from_numpy(init_x.copy()), requires_grad=True)\n",
    "for i in range(nb_epoch):\n",
    "    hist_penalty.append(x.data.numpy().copy())\n",
    "    loss = - x[2] + torch.abs(1-torch.dot(x,x)) * γ\n",
    "    loss.backward()\n",
    "    x.data -=  x.grad.data * lr\n",
    "    x.grad.data.zero_()\n",
    "hist_penalty = np.array(hist_penalty)\n",
    "hist_penalty[-1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        this.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
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\" width=\"699.999984827909\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(7,7))\n",
    "ax = fig.gca(projection='3d')\n",
    "u = np.linspace(0, np.pi, 30)\n",
    "v = np.linspace(0, 2 * np.pi, 30)\n",
    "\n",
    "x = np.outer(np.sin(u), np.sin(v))\n",
    "y = np.outer(np.sin(u), np.cos(v))\n",
    "z = np.outer(np.cos(u), np.ones_like(v))\n",
    "ax.plot_surface(x, y, z, alpha=0.3)\n",
    "ax.plot_wireframe(x, y, z, alpha=0.4, rstride=2, cstride=2)\n",
    "ax.plot(hist_penalty[:,0], hist_penalty[:,1], hist_penalty[:,2], label=\"penalty\")\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  }
 ],
 "metadata": {
  "anaconda-cloud": {},
  "kernelspec": {
   "display_name": "pytorch",
   "language": "python",
   "name": "pytorch"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.1"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}