Pytorch Segmentation Unet.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Clone the directory from https://github.com/milesial/Pytorch-UNet.git\n",
    "\n",
    "<img src=\"img/Uecker1.jpg\">"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import sys\n",
    "import os\n",
    "from optparse import OptionParser\n",
    "import numpy as np\n",
    "\n",
    "import torch\n",
    "import torch.backends.cudnn as cudnn\n",
    "import torch.nn as nn\n",
    "from torch import optim\n",
    "\n",
    "from eval import eval_net\n",
    "from unet import UNet\n",
    "from utils import get_ids, split_ids, split_train_val, get_imgs_and_masks, batch"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Do not Run this cell\n",
    "class UNet(nn.Module):\n",
    "    def __init__(self, n_channels, n_classes):\n",
    "        super(UNet, self).__init__()\n",
    "        self.inc = inconv(n_channels, 64)\n",
    "        self.down1 = down(64, 128)\n",
    "        self.down2 = down(128, 256)\n",
    "        self.down3 = down(256, 512)\n",
    "        self.down4 = down(512, 512)\n",
    "        self.up1 = up(1024, 256)\n",
    "        self.up2 = up(512, 128)\n",
    "        self.up3 = up(256, 64)\n",
    "        self.up4 = up(128, 64)\n",
    "        self.outc = outconv(64, n_classes)\n",
    "\n",
    "    def forward(self, x):\n",
    "        x1 = self.inc(x)\n",
    "        x2 = self.down1(x1)\n",
    "        x3 = self.down2(x2)\n",
    "        x4 = self.down3(x3)\n",
    "        x5 = self.down4(x4)\n",
    "        x = self.up1(x5, x4)\n",
    "        x = self.up2(x, x3)\n",
    "        x = self.up3(x, x2)\n",
    "        x = self.up4(x, x1)\n",
    "        x = self.outc(x)\n",
    "        return F.sigmoid(x)\n",
    "# sub-parts of the U-Net model\n",
    "\n",
    "import torch\n",
    "import torch.nn as nn\n",
    "import torch.nn.functional as F\n",
    "\n",
    "\n",
    "class double_conv(nn.Module):\n",
    "    '''(conv => BN => ReLU) * 2'''\n",
    "    def __init__(self, in_ch, out_ch):\n",
    "        super(double_conv, self).__init__()\n",
    "        self.conv = nn.Sequential(\n",
    "            nn.Conv2d(in_ch, out_ch, 3, padding=1),\n",
    "            nn.BatchNorm2d(out_ch),\n",
    "            nn.ReLU(inplace=True),\n",
    "            nn.Conv2d(out_ch, out_ch, 3, padding=1),\n",
    "            nn.BatchNorm2d(out_ch),\n",
    "            nn.ReLU(inplace=True)\n",
    "        )\n",
    "\n",
    "    def forward(self, x):\n",
    "        x = self.conv(x)\n",
    "        return x\n",
    "\n",
    "\n",
    "class inconv(nn.Module):\n",
    "    def __init__(self, in_ch, out_ch):\n",
    "        super(inconv, self).__init__()\n",
    "        self.conv = double_conv(in_ch, out_ch)\n",
    "\n",
    "    def forward(self, x):\n",
    "        x = self.conv(x)\n",
    "        return x\n",
    "\n",
    "\n",
    "class down(nn.Module):\n",
    "    def __init__(self, in_ch, out_ch):\n",
    "        super(down, self).__init__()\n",
    "        self.mpconv = nn.Sequential(\n",
    "            nn.MaxPool2d(2),\n",
    "            double_conv(in_ch, out_ch)\n",
    "        )\n",
    "\n",
    "    def forward(self, x):\n",
    "        x = self.mpconv(x)\n",
    "        return x\n",
    "\n",
    "\n",
    "class up(nn.Module):\n",
    "    def __init__(self, in_ch, out_ch, bilinear=True):\n",
    "        super(up, self).__init__()\n",
    "\n",
    "        #  would be a nice idea if the upsampling could be learned too,\n",
    "        #  but my machine do not have enough memory to handle all those weights\n",
    "        if bilinear:\n",
    "            self.up = nn.Upsample(scale_factor=2, mode='bilinear', align_corners=True)\n",
    "        else:\n",
    "            self.up = nn.ConvTranspose2d(in_ch//2, in_ch//2, 2, stride=2)\n",
    "\n",
    "        self.conv = double_conv(in_ch, out_ch)\n",
    "\n",
    "    def forward(self, x1, x2):\n",
    "        x1 = self.up(x1)\n",
    "        \n",
    "        # input is CHW\n",
    "        diffY = x2.size()[2] - x1.size()[2]\n",
    "        diffX = x2.size()[3] - x1.size()[3]\n",
    "\n",
    "        x1 = F.pad(x1, (diffX // 2, diffX - diffX//2,\n",
    "                        diffY // 2, diffY - diffY//2))\n",
    "        \n",
    "        # for padding issues, see \n",
    "        # https://github.com/HaiyongJiang/U-Net-Pytorch-Unstructured-Buggy/commit/0e854509c2cea854e247a9c615f175f76fbb2e3a\n",
    "        # https://github.com/xiaopeng-liao/Pytorch-UNet/commit/8ebac70e633bac59fc22bb5195e513d5832fb3bd\n",
    "\n",
    "        x = torch.cat([x2, x1], dim=1)\n",
    "        x = self.conv(x)\n",
    "        return x\n",
    "\n",
    "\n",
    "class outconv(nn.Module):\n",
    "    def __init__(self, in_ch, out_ch):\n",
    "        super(outconv, self).__init__()\n",
    "        self.conv = nn.Conv2d(in_ch, out_ch, 1)\n",
    "\n",
    "    def forward(self, x):\n",
    "        x = self.conv(x)\n",
    "        return x"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import cv2\n",
    "import matplotlib.image as mpimg \n",
    "import sigpy.plot as pl\n",
    "# im = Image.open('test.gif')\n",
    "%matplotlib notebook"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "im_car = mpimg.imread('/mikQNAP/segmentation_cars/train_hq/00087a6bd4dc_01.jpg')\n",
    "im_mask = mpimg.imread('/mikQNAP/segmentation_cars/train_masks/00087a6bd4dc_01_mask.gif')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1280, 1918, 3)"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "im_car.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
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       "\n",
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       "}\n",
       "\n",
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       "    // Updates the figure title.\n",
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       "}\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": {
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\" width=\"639.999990463257\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x7f210e63a6a0>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "plt.imshow(im_car)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "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",
       "        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, 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 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": {
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5990v/jii2ny5Mlp6tSpfe6yWQVA13MH8oJnnnlm+uEPf5heeeWV9J/+039KDzzwQJHbAPIT/nMm+SsSN9988+rJ/7vsskufBgN9gQJgoGJeT4AAAQKRBRQAkdMxGwECBAiEERjsAiBD7LbbbtVX251wwgnVtwEceOCBlU/+TXh+8F1fWzMKgN/97nfpwx/+cMoPAtx///3TP/3TP6Vbb721miXfunDaaaelKVOm9DVKQz/PM4wbNy79n//zf6pPP9xxxx39Ov51WVQBsC5q3kOAAAECUQUUAFGTMRcBAgQIhBKIUAB873vfSyeffHL6D//hP6T88L9bbrmlKgUeffTRflk1WgDkh+ztueee1Uf984MIf/vb33Y/bO8rX/lK+v73v9/yrwKcM2dO2meffdLcuXPTRhttlH75y1+mvfbaq1/Hvy4vUgCsi5r3ECBAgEBUAQVA1GTMRYAAAQKhBCIUAPnj7ttss016++23u21yKfDlL3+5X1aNFgCnnHJK9bC//ADD6dOnVw/f69ryTB/5yEeqUuD9739/9c8tttiiX3P190X5N/65+Mhfd5i/bSB/9V9+BkBv2+rfqNDftbpepwAYqJjXEyBAgEBkAQVA5HTMRoAAAQJhBCIUABnjc5/7XPrxj39cueTvuc9P4c/3wPdna6QAmDFjRvWR//wx/1wEXHTRRWss+cQTT1TPAXjrrbfSX/zFX6Sbb765P2P1+zU/+tGP0jHHHNPv1+cXrv6NCgN6c0pJATBQMa8nQIAAgcgCCoDI6ZiNAAECBMIIRCkA7rzzzu7fek+cOHGVJ/H3hbWuBUB+wF++1SD/Bv5DH/pQeuihh9IGG2zQ43LTpk2rHkqYt4svvjiddNJJfY3V758rAPpN5YUECBAgQKBHAQWAE4MAAQIECPRDIEoBkC++8334ecu/lR8/fnw/pv+/L1nXAqDfC3TgC30CoANDdUgECBCosYACoMbhO3QCBAgQ6L9AlALgL//yL9M//MM/VF8BOHv27DRkyJB+H4QCoN9U3S9UAAzczDsIECBAIK6AAiBuNiYjQIAAgUACXQXAyiPtu+++1W/VV97W9jH1fLE+atSoho5o/vz51T7efPPNdN5556Uzzzyzz/21cp4+F2/TF6xclKx8CL/61a9SPg9sBAgQIECgXQUUAO2anLkJECBAoKjAYBUAK1asSPn/8m+i8/30+WvvRowYUf33zTbbrE8DBUCfRGu8QAEwcDPvIECAAIH2EFAAtEdOpiRAgACBQRbIT7Zfvnz5KlOst956adiwYav82TvvvJOWLFmyxrT5O+vz1+cNdPvCF76QrrzyylXeNnXq1O4H7fW1v2bP09d6nfDznHPOe/UtZ50ztxEgQIAAgXYVUAC0a3LmJkCAAIFaCHQVAEOHDk1/9md/lr761a+mo48+uhbH7iAJECBAgACB5gooAJrraW8ECBAgQIAAAQIECBAgQCCkgAIgZCyGIkCAAAECBAgQIECAAAECzRVQADTX094IECBAgAABAgQIECBAgEBIAQVAyFgMRYAAAQIECBAgQIAAAQIEmiugAGiup70RIECAAAECBAgQIECAAIGQAgqAkLEYigABAgQIECBAgAABAgQINFdAAdBcz7baW/5O6mXLlqWRI0e21dyGJUCAAAECBAgQIEAgrsArr7yS1l9//bR48eK4Q9Z0MgVATYPPh73BBhtUBYCNAAECBAgQIECAAAECzRTIBcDSpUubuUv7aoKAAqAJiO26iz/+4z9O8+bNa9fxzU2AAAECBAgQIECAQFCBP/qjP0ovvPBC0OnqO5YCoL7ZJwVAjcN36AQIECBAgAABAgRaKKAAaCFuA7tWADSA1+5vVQC0e4LmJ0CAAAECBAgQIBBTQAEQMxcFQMxcikylACjCbBECBAgQIECAAAECtRNQAMSMXAEQM5ciUykAijBbhAABAgQIECBAgEDtBBQAMSNXAMTMpchUCoAizBYhQIAAAQIECBAgUDsBBUDMyBUAMXMpMpUCoAizRQgQIECAAAECBAjUTkABEDNyBUDMXIpMpQAowmwRAgQIECBAgAABArUTUADEjFwBEDOXIlMpAIowW4QAAQIECBAgQIBA7QQUADEjVwDEzKXIVAqAIswWIUCAAAECBAgQIFA7AQVAzMgVADFzKTKVAqAIs0UIECBAgAABAgQI1E5AARAzcgVAzFyKTKUAKMJsEQIECBAgQIAAAQK1E1AAxIxcARAzlyJTKQCKMFuEAAECBAgQIECAQO0EFAAxI1cAxMylyFQKgCLMFiFAgAABAgQIECBQOwEFQMzIFQAxcykylQKgCLNFCBAgQIAAAQIECNROQAEQM3IFQMxcikylACjCbBECBAgQIECAAAECtRNQAMSMXAEQM5ciUykAijBbhAABAgQIECBAgEDtBBQAMSNXAMTMpchUCoAizBYhQIAAAQIECBAgUDsBBUDMyBUAMXMpMpUCoAizRQgQIECAAAECBAjUTkABEDNyBUDMXIpMpQAowmwRAgQIECBAgAABArUTUADEjFwBEDOXIlMpAIowW4QAAQIECBAgQIBA7QQUADEjVwDEzKXIVAqAIswWIUCAAAECBAgQIFA7AQVAzMgVADFzKTKVAqAIs0UIECBAgAABAgQI1E5AARAzcgVAzFyKTKUAKMJsEQIECBAgQIAAAQK1E1AAxIy8NgXA7Nmz0+23354efvjh6v8ef/zxtHz58nTuueems846q8d0HnnkkfSP//iP6e67765ev3DhwvS+970v7b777umEE05IBx98cK+pPvnkk+m8885Ld955Z3r99ddT/kuQ35PX23TTTdf63t///vfV+/La8+bNq9b85Cc/Wb1vzJgxTTuTFABNo7QjAgQIECBAgAABAgRWElAAxDwdalMAnHzyyel73/veGimsrQB45pln0o477tj9+tGjR6fNNtssPfvss9XFfN4mTZqUrrjiijRkyJA19vurX/0qHXjggemtt95KW265Zdp2223TrFmz0ptvvpm233779MADD6Stttpqjfe9/PLLac8990zPPfdcGj58eNppp53S3Llz0/z589OwYcPSrbfemsaNG9eUs0kB0BRGOyFAgAABAgQIECBAYDUBBUDMU6I2BUD+jfqvf/3r9JGPfCTtscce6bLLLks33njjWj8B8PTTT1cX2rk4OOqoo9L73//+KsEVK1akqVOnpi9/+cvp3XffTX//93+fvvSlL62S7qJFi9IOO+xQXbTn11100UVp/fXXTwsWLEgHHXRQuv/++6ty4Be/+MUaZ8Wf//mfpxkzZqSPf/zj6ec//3nafPPN07Jly9Ipp5xSrZVLg1xObLTRRg2fUQqAhgntgAABAgQIECBAgACBHgQUADFPi9oUAKvzf+ELX0hXXnnlWguAJUuWVBf7+bfwPW2TJ09O06ZNS7vttlt69NFHV3nJd77znfS1r32t+rj+Y489ltZbb73unz///PNVOfDOO++kf/3Xf00f/vCHu3/2L//yL1U58d73vre6yN9uu+26f5ZvV9h1111Tvq3gu9/9bvqbv/mbhs8oBUDDhHZAgAABAgQIECBAgIACoG3OAQVAL88A6C3FfH/+IYcckoYOHVp9zH/lLX+E/6GHHkrf/va3qyJg9W3//fevPsp/xhlnpPPPP7/7x/m/X3jhhSn//JZbblnjfXl/X//616tbBPItBI1uCoBGBb2fAAECBAgQIECAAIGeBHwCIOZ5oQBYxwLgxz/+cfrc5z5XPaDvtdde6043/2Y/f2ogf2z/vvvuS3vvvfcayefbEb7xjW9UD/a74447un++3377pbvuuqt6AOCZZ565xvvy/vbZZ5+0wQYbVM8SWPmTBetyeikA1kXNewgQIECAAAECBAgQ6EtAAdCX0OD8XAGwjgVAfpp/vkf/s5/9bPrf//t/d6eXnx3wJ3/yJ9V/f/HFF7ufHbByvNddd1068sgjqwcD5lsCurauC/L88yOOOGKNMyLvL/9Fylu+RSA/TLCRTQHQiJ73EiBAgAABAgQIECCwNgEFQMxzQwGwDgXAL3/5yzRhwoQq0fwVgSs/lf+f//mfqwcN5i3fGpBvEVh9mz59ejrggAPSxhtvnPIDA7u2/GC//Jv9/PP8MMDVt7y/rmcS5OcF5K8j7GvLF/lr21566aXqOQc2AgQIECBAgAABAgQINFNAAdBMzebtSwEwwAIg/8Y+X3i/+uqr6cQTT0w/+MEPVknj3nvv7S4E8oP7evqKwDvvvDN96lOfqj7Cn28Z6Nryf88X5Pm2gHx7wOpb/lnXx/7zOvmbAvraFAB9Cfk5AQIECBAgQIAAAQLNFlAANFu0OftTAAygAMj3+ud78J944on0iU98onqQ34YbbrhKEtE+AdDbaeIWgOb8JbIXAgQIECBAgAABAgRWFVAAxDwjFAD9LADeeOON9OlPfzr9+te/rj4B8Ktf/SqNGDFijVQ9AyDmiW4qAgQIECBAgAABAgTKCSgAylkPZCUFQD8KgLfffru6Zz9/dH/s2LHVff9bbLFFj86+BWAgp5/XEiBAgAABAgQIECDQiQIKgJipKgD6KADyBf2hhx6abr755uqp+/ne+2222abXND/2sY9VnxT49re/nb72ta+t8dr999+/un3gjDPOSOeff373z7/+9a9X78k/v+WWW9Z4X/5Zfs2ee+6ZHnjggYbPKLcANExoBwQIECBAgAABAgQI9CCgAIh5WigAeikA3n333XTUUUela6+9trrov++++9Lo0aP7THLKlCnp9NNPT2PGjEmPPfZY94P78hvzQwR32GGH6uF/qz/J/+GHH04f/ehH03vf+97qa/6222677rXyAwV33XXX9OSTT6a//du/TV/96lf7nKOvFygA+hLycwIECBAgQIAAAQIE1kVAAbAuaq1/jwKglwLgy1/+cvr7v//76uP+99xzT3VB35/tD3/4Q3WRn78pIO/joosuSuuvv35asGBBOuigg9L999+/1t/yjx8/Pt12223VE/5//vOfp8033zwtW7YsnXLKKdUsI0eOrMqB/BWCjW4KgEYFvZ8AAQIECBAgQIAAgZ4EFAAxz4vaFAD5ojtffHdt+aF++d7+4cOHp2HDhnX/+SOPPJK23Xbb9OCDD6a99tqr+vP831f+bfzqUeZPBqy+5a/y++xnP5uWLFmSttxyy+r9+bf3b775Zho1alS1/6233nqN97344ovVunPmzKlmy6VD/tTA/Pnz09ChQ9P06dOrbyBoxqYAaIaifRAgQIAAAQIECBAgsLqAAiDmOVGbAuCuu+5K++23X58pzJ49u7pA7+/r8w7zrQI9bY8//ng677zzqocH/v73v0/5L8HBBx+czjrrrPS+971vrbO8/vrr6dxzz60+ATBv3ry06aabpk9+8pPpG9/4RvUQwmZtCoBmSdoPAQIECBAgQIAAAQIrCygAYp4PtSkAYvIP7lQKgMH1tzoBAgQIECBAgACBThVQAMRMVgEQM5ciUykAijBbhAABAgQIECBAgEDtBBQAMSNXAMTMpchUCoAizBYhQIAAAQIECBAgUDsBBUDMyBUAMXMpMpUCoAizRQgQIECAAAECBAjUTkABEDNyBUDMXIpMpQAowmwRAgQIECBAgAABArUTUADEjFwBEDOXIlMpAIowW4QAAQIECBAgQIBA7QQUADEjVwDEzKXIVAqAIswWIUCAAAECBAgQIFA7AQVAzMgVADFzKTKVAqAIs0UIECBAgAABAgQI1E5AARAzcgVAzFyKTKUAKMJsEQIECBAgQIAAAQK1E1AAxIxcARAzlyJTKQCKMFuEAAECBAgQIECAQO0EFAAxI1cAxMylyFQKgCLMFiFAgAABAgQIECBQOwEFQMzIFQAxcykylQKgCLNFCBAgQIAAAQIECNROQAEQM3IFQMxcikylACjCbBECBAgQIECAAAECtRNQAMSMXAEQM5ciUykAijBbhAABAgQIECBAgEDtBBQAMSNXAMseb2wAACAASURBVMTMpchUCoAizBYhQIAAAQIECBAgUDsBBUDMyBUAMXMpMpUCoAizRQgQIECAAAECBAjUTkABEDNyBUDMXIpMpQAowmwRAgQIECBAgAABArUTUADEjFwBEDOXIlMpAIowW4QAAQIECBAgQIBA7QQUADEjVwDEzKXIVAqAIswWIUCAAAECBAgQIFA7AQVAzMgVADFzKTKVAqAIs0UIECBAgAABAgQI1E5AARAzcgVAzFyKTKUAKMJsEQIECBAgQIAAAQK1E1AAxIxcARAzlyJTKQCKMFuEAAECBAgQIECAQO0EFAAxI1cAxMylyFQKgCLMFiFAgAABAgQIECBQOwEFQMzIFQAxcykylQKgCLNFCBAgQIAAAQIECNROQAEQM3IFQMxcikylACjCbBECBAgQIECAAAECtRNQAMSMXAEQM5ciUykAijBbhAABAgQIECBAgEDtBBQAMSNXAMTMpchUCoAizBYhQIAAAQIECBAgUDsBBUDMyBUAMXMpMpUCoAizRQgQIECAAAECBAjUTkABEDNyBUDMXIpMpQAowmwRAgQIECBAgAABArUTUADEjFwBEDOXIlMpAIowW4QAAQIECBAgQIBA7QQUADEjVwDEzKXIVAqAIswWIUCAAAECBAgQIFA7AQVAzMgVADFzKTKVAqAIs0UIECBAgAABAgQI1E5AARAzcgVAzFyKTKUAKMJsEQIECBAgQIAAAQK1E1AAxIxcARAzlyJTKQCKMFuEAAECBAgQIECAQO0EFAAxI1cAxMylyFQKgCLMFiFAgAABAgQIECBQOwEFQMzIFQAxcykylQKgCLNFCBAgQIAAAQIECNROQAEQM3IFQMxcikylACjCbBECBAgQIECAAAECtRNQAMSMXAEQM5ciUykAijBbhAABAgQIECBAgEDtBBQAMSNXAMTMpchUCoAizBYhQIAAAQIECBAgUDsBBUDMyBUAMXMpMpUCoAizRQgQIECAAAECBAjUTkABEDNyBUDMXIpMpQAowmwRAgQIECBAgAABArUTUADEjFwBEDOXIlMpAIowW4QAAQIECBAgQIBA7QQUADEjVwDEzKXIVAqAIswWIUCAAAECBAgQIFA7AQVAzMgVADFzKTKVAqAIs0UIECBAgAABAgQI1E5AARAzcgVAzFyKTKUAKMJsEQIECBAgQIAAAQK1E1AAxIxcARAzlyJTKQCKMFuEAAECBAgQIECAQO0EFAAxI1cAxMylyFQKgCLMFiFAgAABAgQIECBQOwEFQMzIFQAxcykylQKgCLNFCBAgQIAAAQIECNROQAEQM3IFQMxcikylACjCbBECBAgQIECAAAECtRNQAMSMXAEQM5ciUykAijBbhAABAgQIECBAgEDtBBQAMSNXAMTMpchUCoAizBYhQIAAAQIECBAgUDsBBUDMyBUAMXMpMpUCoAizRQgQIECAAAECBAjUTkABEDNyBUDMXIpMpQAowmwRAgQIECBAgAABArUTUADEjFwBEDOXIlMpAIowW4QAAQIECBAgQIBA7QQUADEjVwDEzKXIVAqAIswWIUCAAAECBAgQIFA7AQVAzMgVADFzKTKVAqAIs0UIECBAgAABAgQI1E5AARAzcgVAzFyKTKUAKMJsEQIECBAgQIAAAQK1E1AAxIxcARAzlyJTKQCKMFuEAAECBAgQIECAQO0EFAAxI1cAxMylyFQKgCLMFiFAgAABAgQIECBQOwEFQMzIFQAxcykylQKgCLNFCBAgQIAAAQIECNROQAEQM3IFQMxcikylACjCbBECBAgQIECAAAECtRNQAMSMXAEQM5ciUykAijBbhAABAgQIECBAgEDtBBQAMSNXAMTMpchUCoAizBYhQIAAAQIECBAgUDsBBUDMyBUAMXMpMpUCoAizRQgQIECAAAECBAjUTkABEDNyBUDMXIpMpQAowmwRAgQIECBAgAABArUTUADEjFwBEDOXIlMpAIowW4QAAQIECBAgQIBA7QQUADEjr00BMHv27HT77benhx9+uPq/xx9/PC1fvjyde+656ayzzuo1nQcffDBdeOGF6YEHHkhvvPFGGj16dDriiCPSaaedloYOHbrW986bNy9985vfTNOnT0+vvPJK2mqrrdL++++fzj777JT/QqxtW7JkSZoyZUr6yU9+kvLcG2+8cdprr73SGWeckT72sY817UxSADSN0o4IECBAgAABAgQIEFhJQAEQ83SoTQFw8sknp+9973trpNBXAXDttdemSZMmVWVBPolHjhyZZs6cmZYtW5b22GOPdNddd6Xhw4evsd8nnngi7bPPPum1115Lm2yySdphhx3SM888kxYuXJg233zzdN9996WddtppjfctXrw47bvvvulf//Vf0wYbbJB23nnnqjzIZcJ6662XrrnmmnT44Yc35WxSADSF0U4IECBAgAABAgQIEFhNQAEQ85SoTQFw3nnnpV//+tfpIx/5SHXhftlll6Ubb7yx108APPfcc9VF+ttvv139Rv7UU09N73nPe9KcOXPShAkT0lNPPZVOOumkdPHFF6+Sbi4Ldtttt5RLgEMPPTRdddVVVUmQL+6PPvrodNNNN1U/f+SRR9KQIUNWee9f/dVfpUsvvbRa99Zbb00f+MAH0ooVK9JFF12UTj/99DRs2LBq3W233bbhM0oB0DChHRAgQIAAAQIECBAg0IOAAiDmaVGbAmB1/i984Qvpyiuv7LUAyBf3U6dOTePHj08zZsxYZRf5doC99947rb/++mnu3LnVx/u7thtuuCFNnDix+k1//gj/iBEjun+2aNGi6haCBQsWVEXAwQcf3P2zl156KW233XbpnXfeqW432HPPPVdZM89x2223pS9/+cs9fpphoKeYAmCgYl5PgAABAgQIECBAgEB/BBQA/VEq/xoFwFqeAfDuu+9WH/nPF+XXX399dUG/+jZmzJg0a9as6jf2J5xwQveP8/MB8v37kydPrgqE1bf859OmTaueI3Ddddd1/zjvJ38CIO83f3pg9S3PkT/+v80221S3BDS6KQAaFfR+AgQIECBAgAABAgR6ElAAxDwvFABrKQDyx/xHjRpVpfbCCy/0+NC+448/Pl1++eXp2GOPrf7ZteXf8OfbB/L9+kceeeQayec/P+qoo9L2229fPRegazvmmGPSj370o5T3+8Mf/nCN9+U5uj76//zzzzd8G4ACIOZfSlMRIECAAAECBAgQaHcBBUDMBBUAaykA8jcGfOYzn0kbbrhheuutt6p7/1ffzj///HTmmWdWD/u75557qh8vXbq0uk8/37ff08f482u6bh/I9//nJ/7n2wjy9vGPfzzdf//9Ke83P/F/9S1/KiF/60Be44477kif/OQnGzqrFAAN8XkzAQIECBAgQIAAAQJrEVAAxDw1FABrKQC67uPP9/a//PLLPaZ3ySWXpBNPPDHtsssu6bHHHqteM3/+/OqbAvL25JNP9vik//znY8eOrV7z6quvVs8KyFt+4n/+6H/eb74VoKctz5O/FeBnP/tZ9YDBvrZ8kb+2Ld/ekIsKGwECBAgQIECAAAECBJopoABopmbz9qUAWEsBcPXVV1dP7M8fuc8ft+9pu+KKK9Jxxx1XfcXf008/Xb0kPxAwP8gvb/nj/flj/qtvzz77bPWertd3XaTnP8s/67qtoKc1877zGnm+z3/+832eCQqAPom8gAABAgQIECBAgACBJgsoAJoM2qTdKQA6/BMAvZ0nbgFo0t8iuyFAgAABAgQIECBAYBUBBUDME0IB4BkAMc9MUxEgQIAAAQIECBAg0LYCCoCY0SkAfAtAzDPTVAQIECBAgAABAgQItK2AAiBmdAqAtRQA+Yn722yzTfUAwOuvvz5NnDhxjQTHjBmTZs2alS699NJ0wgkndP/88MMPr94zefLkNHXq1DXel/982rRp6YgjjkjXXXdd98/zn+Wf5f3mhwGuvuV95n3nuebNm9fwGeUWgIYJ7YAAAQIECBAgQIAAgR4EFAAxTwsFwFoKgBxXfsJ/fiL/+PHj04wZM1ZJsOur/PJX+OWHBG699dbdP//pT3+aDjvssOrp/rNnz04jRozo/tmiRYvS6NGj04IFC9KNN96YDjnkkO6fvfjii+kDH/hAeuedd3r8CsE8x2233Zb++q//On3/+99v+IxSADRMaAcECBAgQIAAAQIECCgA2uYcUAD0UgDki/eddtopLV26NE2ZMiWdeuqp6T3veU+aM2dOmjBhQnrqqad6/C3/8uXLq68GzJ8OyF/Vd9VVV6Xhw4enxYsXp0mTJlUX/vnnjz76aBoyZMgqJ0v+JMEPf/jDat1bb721KgTypxEuuuii9LWvfS0NHTq0WrfrmwYaOdMUAI3oeS8BAgQIECBAgAABAmsT8AmAmOdGbQqA+++/Px100EHdKbzxxhvp7bffri7Mhw0b1v3njzzySPXVf11bvng/5phj0ooVK1I+iUeOHJlmzpyZli1blnbfffd09913p4022miNdPNrxo0bl15//fW0ySabpB133LH6qsCFCxemzTbbLN17771p7Nixa7wvf0Jg3333TXmODTbYIO28887plVdeqT7yv95666Urr7wyHXnkkU05mxQATWG0EwIECBAgQIAAAQIEVhNQAMQ8JWpTANx1111pv/326zOF/Fv/UaNGrfK6/HH/Cy64oPpYfv4tfv55vn//9NNPr34jv7Zt7ty56ZxzzknTp09P8+fPT1tuuWU64IAD0tlnn53yxffatrfeeqv6xMGPf/zj9Nxzz6WNN9447bXXXumMM85Ie+65Z5/H0N8XKAD6K+V1BAgQIECAAAECBAgMREABMBCtcq+tTQFQjrR9VlIAtE9WJiVAgAABAgQIECDQTgIKgJhpKQBi5lJkKgVAEWaLECBAgAABAgQIEKidgAIgZuQKgJi5FJlKAVCE2SIECBAgQIAAAQIEaiegAIgZuQIgZi5FplIAFGG2CAECBAgQIECAAIHaCSgAYkauAIiZS5GpFABFmC1CgAABAgQIECBAoHYCCoCYkSsAYuZSZCoFQBFmixAgQIAAAQIECBConYACIGbkCoCYuRSZSgFQhNkiBAgQIECAAAECBGonoACIGbkCIGYuRaZSABRhtggBAgQIECBAgACB2gkoAGJGrgCImUuRqRQARZgtQoAAAQIECBAgQKB2AgqAmJErAGLmUmQqBUARZosQIECAAAECBAgQqJ2AAiBm5AqAmLkUmUoBUITZIgQIECBAgAABAgRqJ6AAiBm5AiBmLkWmUgAUYbYIAQIECBAgQIAAgdoJKABiRq4AiJlLkakUAEWYLUKAAAECBAgQIECgdgIKgJiRKwBi5lJkKgVAEWaLECBAgAABAgQIEKidgAIgZuQKgJi5FJlKAVCE2SIECBAgQIAAAQIEaiegAIgZuQIgZi5FplIAFGG2CAECBAgQIECAAIHaCSgAYkauAIiZS5GpFABFmC1CgAABAgQIECBAoHYCCoCYkSsAYuZSZCoFQBFmixAgQIAAAQIECBConYACIGbkCoCYuRSZSgFQhNkiBAgQIECAAAECBGonoACIGbkCIGYuRaZSABRhtggBAgQIECBAgACB2gkoAGJGrgCImUuRqRQARZgtQoAAAQIECBAgQKB2AgqAmJErAGLmUmQqBUARZosQIECAAAECBAgQqJ2AAiBm5AqAmLkUmUoBUITZIgQIECBAgAABAgRqJ6AAiBm5AiBmLkWmUgAUYbYIAQIECBAgQIAAgdoJKABiRq4AiJlLkakUAEWYLUKAAAECBAgQIECgdgIKgJiRKwBi5lJkKgVAEWaLECBAgAABAgQIEKidgAIgZuQKgJi5FJlKAVCE2SIECBAgQIAAAQIEaiegAIgZuQIgZi5FplIAFGG2CAECBAgQIECAAIHaCSgAYkauAIiZS5GpFABFmC1CgAABAgQIECBAoHYCCoCYkSsAYuZSZCoFQBFmixAgQIAAAQIECBConYACIGbkCoCYuRSZSgFQhNkiBAgQIECAAAECBGonoACIGbkCIGYuRaZSABRhtggBAgQIECBAgACB2gkoAGJGrgCImUuRqRQARZgtQoAAAQIECBAgQKB2AgqAmJErAGLmUmQqBUARZosQIECAAAECBAgQqJ2AAiBm5AqAmLkUmUoBUITZIgQIECBAgAABAgRqJ6AAiBm5AiBmLkWmUgAUYbYIAQIECBAgQIAAgdoJKABiRq4AiJlLkakUAEWYLUKAAAECBAgQIECgdgIKgJiRKwBi5lJkKgVAEWaLECBAgAABAgQIEKidgAIgZuQKgJi5FJlKAVCE2SIECBAgQIAAAQIEaiegAIgZuQIgZi5FplIAFGG2CAECBAgQIECAAIHaCSgAYkauAIiZS5GpFABFmC1CgAABAgQIECBAoHYCCoCYkSsAYuZSZCoFQBFmixAgQIAAAQIECBConYACIGbkCoCYuRSZSgFQhNkiBAgQIECAAAECBGonoACIGbkCIGYuRaZSABRhtggBAgQIECBAgACB2gkoAGJGrgCImUuRqRQARZgtQoAAAQIECBAgQKB2AgqAmJErAGLmUmQqBUARZosQIECAAAECBAgQqJ2AAiBm5AqAmLkUmUoBUITZIgQIECBAgAABAgRqJ6AAiBm5AiBmLkWmUgAUYbYIAQIECBAgQIAAgdoJKABiRq4AiJlLkakUAEWYLUKAAAECBAgQIECgdgIKgJiRKwBi5lJkKgVAEWaLECBAgAABAgQIEKidgAIgZuQKgJi5FJlKAVCE2SIECBAgQIAAAQIEaiegAIgZuQIgZi5FplIAFGG2CAECBAgQIECAAIHaCSgAYkauAIiZS5GpFABFmC1CgAABAgQIECBAoHYCCoCYkSsAYuZSZCoFQBFmixAgQIAAAQIECBConYACIGbkCoCYuRSZSgFQhNkiBAgQIECAAAECBGonoACIGbkCIGYuRaZSABRhtggBAgQIECBAgACB2gkoAGJGrgCImUuRqRQARZgtQoAAAQIECBAgQKB2AgqAmJErAGLmUmQqBUARZosQIECAAAECBAgQqJ2AAiBm5AqAmLkUmUoBUITZIgQIECBAgAABAgRqJ6AAiBm5AiBmLkWmUgAUYbYIAQIECBAgQIAAgdoJKABiRq4AiJlLkakUAEWYLUKAAAECBAgQIECgdgIKgJiRKwBi5lJkKgVAEWaLECBAgAABAgQIEKidgAIgZuQKgJi5FJlKAVCE2SIECBAgQIAAAQIEaiegAIgZuQIgZi5FplIAFGG2CAECBAgQIECAAIHaCSgAYkauAIiZS5GpFABFmC1CgAABAgQIECBAoHYCCoCYkSsAYuZSZCoFQBFmixAgQKBfAu+++26/XudF/RN4z3ve078XehUBAgQItERAAdAS1oZ3qgDoB+Err7ySpkyZkqZPn55mz56dVqxYkfIJ/alPfSp97WtfSzvuuGOPe3nwwQfThRdemB544IH0xhtvpNGjR6cjjjginXbaaWno0KFrXXnevHnpm9/8ZrVeXnurrbZK+++/fzr77LOrdZu1KQCaJWk/BAjUScCFep3SXvVYlQr1zd6REyAwcAEFwMDNSrxDAdCH8lNPPZXGjRtXXYivv/76afvtt6/++fTTT6clS5ak4cOHp1tuuSXtu+++q+zp2muvTZMmTUrLly+vLtpHjhyZZs6cmZYtW5b22GOPdNddd1XvXX174okn0j777JNee+21tMkmm6QddtghPfPMM2nhwoVp8803T/fdd1/aaaedmnJuKACawmgnBAjURMCFf02CbtJhKguaBGk3BAi0rYACIGZ0CoA+cvn0pz+d7rjjjrT33nunn/zkJylfNOdtwYIF6dhjj00333xz9Zv9fJHe9T/2zz33XHWR/vbbb1efHDj11FOrn82ZMydNmDAh5VLhpJNOShdffPEqq+eyYLfddku5BDj00EPTVVddVZUEixcvTkcffXS66aabqp8/8sgjaciQIQ2fUQqAhgntgACBGgi48K9ByIUOUSlQCNoyBAiEEFAAhIhhjSEUAL3k8uabb6YRI0ZUH/n/7W9/m3bddddVXv36669Xv5XP/3KYL9rHjBlT/Txf3E+dOjWNHz8+zZgxY5X35NsBcpmQP0Uwd+7c6uP9XdsNN9yQJk6cWO0z32qQ1+7aFi1aVBUNuXjIRcDBBx/c8BmlAGiY0A4IEOhgARf+HRzuIB+aImCQA7A8AQJFBBQARZgHvIgCoBey3//+9+l973tf9Yp8D/9GG220xqu32GKL6qK8qyDI/8KYT/aXXnopXX/99dUF/epbLgpmzZqVLr300nTCCSd0/zg/HyB/ymDy5MlVgbD6lv982rRp1XMErrvuugGHvfobFAANE9oBAQIdKuDiv0ODDXZYioBggRiHAIGmCigAmsrZtJ0pAPqg3G677arf1P/yl79Mn/nMZ1Z5df4of/6o/6abblpd8OcH++WP+Y8aNap63QsvvNDjQ/uOP/74dPnll1e3EOR/dm35N/z59oFrrrkmHXnkkWtMlv/8qKOOqp5DkG85aHRTADQq6P0ECHSigIv/Tkw19jEpAmLnYzoCBNZNQAGwbm6tfpcCoA/hfB9+fphfvlj+u7/7u/SJT3wivfe9700PPfRQOvnkk6v7+fNv8r/4xS9We7r99turomDDDTdMb731VvdzAVZe5vzzz09nnnlm9bC/e+65p/rR0qVL07Bhw6rbDfJtAnvuuecak3XdPpDv/88PIMy3ETSyKQAa0fNeAgQ6UcDFfyem2h7HpARoj5xMSYBA/wUUAP23KvlKBUA/tPM99+eee276t3/7t1VenR/I9+1vfzv9+Z//efefd93Hn+/tf/nll3vc+yWXXJJOPPHEtMsuu6THHnuses38+fOrbwrI25NPPtnjk/7zn48dO7Z6zauvvlo9K6CvreuhhT29Ln9qIRcONgIECBBI1fNcbAQGW0ARMNgJWJ8AgWYJKACaJdnc/SgA+vDM/0L4t3/7t+n73/9+evHFF6sH8W2wwQbV1wC+88476aCDDkqXXXZZ2myzzao9XX311dUT+7fddtv0/PPP97j3K664Ih133HHVV/zl/eQt32aQbzfIW/54f/6Y/+rbs88+W72n6/W9Xdx3vVcB0Ny/MPZGgEBnCrj478xc2/GoFADtmJqZCRDoSUABEPO8UAD0kctf/uVfpn/4h39Ie+21V7r22mu77+9/5ZVXqov4X/ziF9VX8/3mN79J6623Xor2CYDeDs8tADH/UpqKAIGyAi7+y3pbrX8CioD+OXkVAQJxBRQAMbNRAPSSy6OPPpo+9KEPVff859/K59/qr7z94Q9/qH4jnz+On5/Kn5/O7xkAMU90UxEgQKAnARf/zouoAgqAqMmYiwCB/gooAPorVfZ1CoBevPNX8Z100klp5513TjNnzuzxlQceeGC65ZZb0le/+tXqVgHfAlD2BLYaAQIE1lXAxf+6ynlfSQFFQEltaxEg0EwBBUAzNZu3LwVAL5b5AX9f//rXey0ADjjggDR9+vTqoX4/+MEPqodIbbPNNtUDAK+//vo0ceLENVYYM2ZMmjVrVvXtASeccEL3zw8//PDqPZMnT065fFh9y38+bdq06pMG+RMHjW5uAWhU0PsJEGhXARf/7ZpcPedWAtQzd0dNoN0FFAAxE1QA9JJLfvr/oYceWn3dXl+3AOSvCPzKV75S7S2XAflJ/+PHj08zZsxYZYWur/LL+8wPCdx66627f/7Tn/40HXbYYdXT/WfPnp1GjBjR/bNFixZVDyBcsGBBuvHGG9MhhxzS8BmlAGiY0A4IEGhTAQVAmwZX07EVADUN3mETaHMBBUDMABUAveTyxhtvVBfd+R7/3h4COHTo0Opp/vkkz1u+eN9pp53S0qVL05QpU9Kpp56a8v9459sDJkyYkJ566qkef8u/fPny6qsB86cDcvFw1VVXpeHDh6fFixenSZMmVRf++ef52QRDhgxp+IxSADRMaAcECLShgIv/NgzNyNW/R9gIECDQTgIKgJhpKQD6yCV/vD//tn3JkiXVU/7z1/Pl397nC/58gZ8fEJi/BjBfoK+85Yv3Y445Jq1YsaIqBkaOHFk9R2DZsmVp9913T3fffXfaaKON1lg9v2bcuHHp9ddfT5tssknacccdq7UWLlxYfdXgvffem8aOHduUs0kB0BRGOyFAoI0EXPy3UVhGXUNACeCkIECgnQQUADHTUgD0I5ff/e531QP+7rzzzjR37tzqPv/3v//91YX6ySefnD784Q/3uJf8cf8LLrgg5X/m3+KPGjWqun//9NNPT/lTA2vb8hrnnHNO9WyB+fPnpy233DLlZw2cffbZKV+0N2tTADRL0n4IEGgHARf/7ZCSGfsSUAL0JeTnBAhEEVAAREli1TkUADFzKTKVAqAIs0UIEAgg4OI/QAhGaIqAAqApjHZCgEABAQVAAeR1WEIBsA5onfIWBUCnJOk4CBDoS0AB0JeQn7eTgBKgndIyK4H6CigAYmavAIiZS5GpFABFmC1CgMAgC7j4H+QALN8SASVAS1jtlACBJgooAJqI2cRdKQCaiNluu1IAtFti5iVAYKACLv4HKub17SKgAGiXpMxJoL4CCoCY2SsAYuZSZCoFQBFmixAgMIgCCoBBxLd0EQFFQBFmixAgsA4CCoB1QCvwFgVAAeSoSygAoiZjLgIEmiHg4r8ZivYRXUABED0h8xGor4ACIGb2CoCYuRSZSgFQhNkiBAgMgoCL/0FAt+SgCSgBBo3ewgQI9CKgAIh5eigAYuZSZCoFQBFmixAgUFjAxX9hcMsNuoACYNAjMAABAj0IKABinhYKgJi5FJlKAVCE2SIECBQWUAAUBrdcCAElQIgYDEGAwEoCCoCYp4MCIGYuRaZSABRhtggBAgUFXPwXxLZUOAElQLhIDESg1gIKgJjxKwBi2Nv7MgAAIABJREFU5lJkKgVAEWaLECBQSMDFfyFoy4QVUACEjcZgBGopoACIGbsCIGYuRaZSABRhtggBAoUEFACFoC0TWkAJEDoewxGolYACIGbcCoCYuRSZSgFQhNkiBAgUEHDxXwDZEm0joARom6gMSqCjBRQAMeNVAMTMpchUCoAizBYhQKCAgAKgALIl2kZAAdA2URmUQEcLKABixqsAiJlLkakUAEWYLUKAQIsFXPy3GNju21JACdCWsRmaQEcJKABixqkAiJlLkakUAEWYLUKAQAsFXPy3ENeu215ACdD2EToAAm0toACIGZ8CIGYuRaZSABRhtggBAi0ScPHfIli77RgBBUDHROlACLSlgAIgZmwKgJi5FJlKAVCE2SIECLRIQAHQIli77SgBJUBHxelgCLSVgAIgZlwKgJi5FJlKAVCE2SIECLRAwMV/C1DtsmMFlAAdG60DIxBaQAEQMx4FQMxcikylACjCbBECBFogoABoAapddqyAAqBjo3VgBEILKABixqMAiJlLkakUAEWYLUKAQJMFXPw3GdTuaiGgBKhFzA6SQCgBBUCoOLqHUQDEzKXIVAqAIswWIUCgiQIu/puIaVe1ElAA1CpuB0sghIACIEQMawyhAIiZS5GpFABFmC1CgEATBRQATcS0q9oJKAFqF7kDJjCoAgqAQeVf6+IKgJi5FJlKAVCE2SIECDRJwMV/kyDtptYCSoBax+/gCRQVUAAU5e73YgqAflN13gsVAJ2XqSMi0KkCLv47NVnHVVpAAVBa3HoE6iugAIiZvQIgZi5FplIAFGG2CAECTRBQADQB0S4IpJQUAE4DAgRKCSgASkkPbB0FwMC8OurVCoCOitPBEOhYARf/HRutAxskASXAIMFblkDNBBQAMQNXAMTMpchUCoAizBYhQKBBAQVAg4DeTqAHASWA04IAgVYLKABaLbxu+1cArJtbR7xLAdARMToIAh0t4OK/o+N1cIMooAAYRHxLE6iJgAIgZtAKgJi5FJlKAVCE2SIECKyjgIv/dYTzNgL9FFAC9BPKywgQWCcBBcA6sbX8TQqAlhPHXUABEDcbkxEgkJICwFlAoLUCCoDW+to7gboLKABingEKgJi5FJlKAVCE2SIECKyjgAJgHeG8jcAABJQAA8DyUgIEBiSgABgQV7EXKwCKUcdbSAEQLxMTESDwfwVc/DsTCJQTUAKUs7YSgToJKABipq0AiJlLkakUAEWYLUKAwAAFXPwPEMzLCTQooABoENDbCRDoUUABEPPEUADEzKXIVAqAIswWIUBggAIKgAGCeTmBJggoAZqAaBcECKwioACIeUIoAGLmUmQqBUARZosQIDAAARf/A8DyUgJNFFAANBHTrggQqAQUADFPBAVAzFyKTKUAKMJsEQIEBiCgABgAlpcSaLKAEqDJoHZHoOYCCoCYJ4ACIGYuRaZSABRhtggBAv0UcPHfTygvI9AiAQVAi2DtlkBNBRQAMYNXAMTMpchUCoAizBYhEF6g2Rfe63IR0ewZwqMbkEBQgXX5+xv0UIxFgMAgCygABjmAtSyvAIiZS5GpFABFmC1CILRAiQvv/lxQlJgjdBCGIxBIoD9/ZwONaxQCBIIKKABiBqMAiJlLkakUAEWYLUIgpEDpC+6+LihKzxMyFEMRCCLQ19/X3sYc6N/lRtYKwmUMAgTWIqAAiHlqKABi5lJkKgVAEWaLEAgpMNB/SW/0IHr7l/zSszR6LN5PoA4CA7kwb8Xf4YGsX4c8HCOBdhRQAMRMTQEQM5ciUykAijBbhEBIgVb8C3tvB7q2f5kvPUfIMAxFIKBAfy/AS/0d7u88ASmNRKC2AgqAmNErAGLmUmQqBUARZosQCCdQ6l/YVz5wBUC408BABPoU6M9Fd+n/f9Kfmfo8MC8gQKCIgAKgCPOAF1EADJisc96gAOicLB0JgYEIlP4X9jybAmAgCXktgRgCfV1sR/r/JTHETEGAwMoCCoCY54MCIGYuRaZSABRhtgiBcAJR/qV9MOYIF4aBCAQXiPj8jr6KieCkxiNQGwEFQMyoFQAxcykylQKgCLNFCIQSGIyL7p7+ZX0w5ggVhGEItImAAqBNgjImgYACCoCAoeRPZb7r38JiJlNgKgVAAWRLEAgmMBj/L18BEOwkMA6BAQpEvIXHpwAGGKKXExgEAQXAIKD3Y0kFQD+QOvUlCoBOTdZxEVi7QIQCYDBmcE4QINCYQLQiTwHQWJ7eTaCEgAKghPLA11AADNysY96hAOiYKB0IgX4LDMbF9+r/oj4YM/QbyAsJEOhRQAHgxCBAYKACCoCBipV5vQKgjHPIVRQAIWMxFIGWCgzGxffKFw6DsX5LQe2cQI0EIpV5PgFQoxPPobatgAIgZnQKgJi5FJlKAVCE2SIEQgm4AA8Vh2EItJWAAqCt4jIsgUEXUAAMegQ9DqAAiJlLkakUAEWYLUIglIACIFQchiFAYB0E/PZ/HdC8hcAgCCgABgG9H0sqAPqB1KkvUQB0arKOi0DvAkoAZwgBAu0soABo5/TMXicBBUDMtBUAMXMpMpUCoAizRQiEFFAChIzFUAQI9ENAAdAPJC8hEEBAARAghB5GUADEzKXIVAqAIswWIRBeQBkQPiIDEiCwkoACwOlAoD0EFAAxc1IAxMylyFQKgCLMFiHQNgKKgLaJyqAEaivg4r+20TvwNhRQAMQMTQEQM5ciUykAijBbhEBbCygF2jo+wxPoKAEX/x0Vp4OpgYACIGbICoCYuRSZSgFQhNkiBDpKQCHQUXE6GAJtI+Div22iMiiBbgEFQMyTQQEQM5ciUykAijBbhEDtBJQEtYvcARNoioCL/KYw2gmBMAIKgDBRrDKIAiBmLkWmUgAUYbYIgVoKKAFqGbuDJtCrgAt8JwiBegkoAGLmrQCImUuRqRQARZgtQqCWAgqAWsbuoGsm4IK+ZoE7XAIDFFAADBCs0MsVAIWgIy6jAIiYipkIdIaAAqAzcnQUBHoTUAA4PwgQ6E1AARDz/FAAxMylyFQKgCLMFiFQOwEX/7WL3AHXWEAJUOPwHTqBPgQUADFPEQVAzFyKTKUAKMJsEQK1EnDxX6u4HSyBpABwEhAgsDYBBUDMc0MB0M9cli9fnq644op0zTXXpMcffzy98cYbaauttkof+tCH0jHHHJMOOuigNfb04IMPpgsvvDA98MAD1etHjx6djjjiiHTaaaeloUOHrnXlefPmpW9+85tp+vTp6ZVXXqnW2X///dPZZ5+d8l+kZm0KgGZJ2g8BAl0CCgDnAoH6CSgB6pe5IybQHwEFQH+Uyr9GAdAP89dffz0dcMAB6aGHHqqa7j/90z9NG2+8cXrxxRfTSy+9lA499ND0s5/9bJU9XXvttWnSpEkpFwf55B85cmSaOXNmWrZsWdpjjz3SXXfdlYYPH77G6k888UTaZ5990muvvZY22WSTtMMOO6RnnnkmLVy4MG2++ebpvvvuSzvttFM/pu77JQqAvo28ggCBgQkoAAbm5dUEOkFAAdAJKToGAs0XUAA037QZe1QA9KG4YsWKtO+++1YX3occckj63ve+l/KFc9f2wgsvpGeffTaNGzeu+8+ee+656iL97bffTlOmTEmnnnpqVRzMmTMnTZgwIT311FPppJNOShdffPEqq+eyYLfddku5BMilwlVXXVWVBIsXL05HH310uummm6qfP/LII2nIkCEN568AaJjQDggQ+P8FXPg7FQjUW0AJUO/8HT2BngQUADHPCwVAH7lMmzYtTZ48Oe23337p9ttv79eFd764nzp1aho/fnyaMWPGKivk2wH23nvvtP7666e5c+dWH+/v2m644YY0ceLE6jf9s2fPTiNGjOj+2aJFi6pbCBYsWFAVAQcffHDDZ5QCoGFCOyBAIKXk4t9pQIBAFlACOA8IEFhZQAEQ83xQAPSRy5gxY9KsWbOqTwDkC/e+tvwvwvlkz7cGXH/99dUF/epb1z4vvfTSdMIJJ3T/OD8f4Cc/+UlVOOQCYfUt/3kuJPLrrrvuur5G6fPnCoA+ibyAAIE+BFz8O0UIEFhZQAngfCBAoEtAARDzXFAA9JLLv//7v1f3+2+22Wbp1VdfTTfffHPKv6XPF/dbbrll+vSnP52OOuqotOGGG3bvJX/Mf9SoUdV/z7cH9PTQvuOPPz5dfvnl6dhjj63+2bXl3/Dn2wfygwaPPPLINSbLf57X23777avnAjS6KQAaFfR+AvUWcPFf7/wdPYGeBBQAzgsCBBQAsc8BBUAv+eTfxufftu+1117Vx+/zg/1W3/K9/rfeemv6wAc+UP0o3ybwmc98pioF3nrrrR4/Dnf++eenM888s3rY3z333FO9b+nSpWnYsGEpP3Mg3yaw5557rrFW1+0D+f7/JUuWVLcRNLIpABrR814C9RVw4V/f7B05gf4KKAL6K+V1BDpXwCcAYmarAOgll//xP/5H+upXv1pdaOen9+ff3J911llp6623rm4JyB/fzw8A3H333dPDDz9cPR+g6z7+fG//yy+/3OPeL7nkknTiiSemXXbZJT322GPVa+bPn199U0DennzyyR6f9J//fOzYsdVr8icS8rMC+tpWfmDh6q/Nn2TIhYONAAEC/RVw8d9fKa8jQEAJ4BwgUG8BBUDM/BUAveRy3nnnpW984xvVK1b+bX3XWx599NH0oQ99qHoAVr494C/+4i/S1VdfXT2xf9ttt03PP/98j3u/4oor0nHHHVd9xd/TTz9dvSY/EHC77bar/nP+eH/+mP/qWy4b8nu6Xt/bxX3XexUAMf/imYpAOwq4+G/H1MxMYHAFlACD6291AoMpoAAYTP21r60A6CWXiy66KJ122mnVK372s59VX823+vapT30q3XnnndVv9H/wgx+E+wRAb6edWwBi/qU0FYGIAi7+I6ZiJgLtIaAEaI+cTEmg2QIKgGaLNmd/CoBeHPMD+vLH/vM2c+bMtPPOO6/x6i996UvVhf8BBxyQ/umf/skzAJpzXtoLAQJBBFz4BwnCGAQ6QEAR0AEhOgQCAxBQAAwAq+BLFQC9YOf7/PNH//OWvxFgxx13XOPVp5xySvrud7+bJkyYUD0M0LcAFDx7LUWAQEsFXPy3lNfOCdRaQBlQ6/gdfE0EFAAxg1YA9JLL4sWL0xZbbFE9cX/GjBlp/Pjxa7z64IMPTj//+c+7v9Iv/wvzNttsUz0A8Prrr08TJ05c4z1jxoxJs2bNSpdeemn1IMGu7fDDD6/eM3ny5DR16tQ13pf/fNq0adU3E1x33XUNn1FuAWiY0A4IdKyAi/+OjdaBEQgjoAQIE4VBCLREQAHQEtaGd6oA6IMw3/d/0003pc997nNrfA1gvsjPD+vLX/d3zTXXpCOPPLLaW34eQH7Sfy4McnGw8tb1VX75mwXyQwLzNwp0bT/96U/TYYcdVj3df/bs2WnEiBHdP1u0aFH1VYQLFixIN954YzrkkEMaDl8B0DChHRDoSAEX/x0Zq4MiEFJACRAyFkMRaIqAAqApjE3fiQKgD9L8pP/8NX/5X4jz0/snTZpUveP3v/99yr+xzxf4uQTIX9G3wQYbVD/LF+877bRTWrp0aZoyZUo69dRTU/4fuHx7QL5V4Kmnnurxt/zLly+vvhowfzogFw9XXXVVGj58eMqfRMjr5gv//PM8U/7KwUY3BUCjgt5PoPMEXPx3XqaOiEC7CCgD2iUpcxLon4ACoH9OpV+lAOiHeP7Yff6tfv4X4/xVfSNHjkxPPPFEevPNN6tbBG677bb0wQ9+cJU95Yv3Y445Jq1YsSLlkz+/Jz9IcNmyZVWhcPfdd6eNNtpojdXza8aNG5def/31tMkmm1TPHchfFbhw4cK02WabpXvvvTeNHTu2H1P3/RIFQN9GXkGgTgIu/uuUtmMlEE9AARAvExMRaERAAdCIXuveqwDop22+8P7Od76THnzwwfSHP/yhus//wAMPTGeccUZ1gd/Tlj/uf8EFF6T8z/xb/FGjRlX3759++ulp6NCha1157ty56ZxzzknTp09P8+fPT1tuuWX1LQNnn312yhftzdoUAM2StB8CnSGgAOiMHB0FgXYXUAS0e4LmJ/B/BRQAMc8EBUDMXIpMpQAowmwRAm0h4OK/LWIyJIFaCCgAahGzg6yBgAIgZsgKgJi5FJlKAVCE2SIEwgu4+A8fkQEJ1E5ACVC7yB1wBwooAGKGqgCImUuRqRQARZgtQiC0gIv/0PEYjkCtBZQAtY7fwXeAgAIgZogKgJi5FJlKAVCE2SIEQgsoAELHYzgCtRZQANQ6fgffAQIKgJghKgBi5lJkKgVAEWaLEAgtoAAIHY/hCNReQAlQ+1MAQBsLKABihqcAiJlLkakUAEWYLUIgrICL/7DRGIwAgZUElABOBwLtKaAAiJmbAiBmLkWmUgAUYbYIgbACCoCw0RiMAAEFgHOAQNsLKABiRqgAiJlLkakUAEWYLUIgpICL/5CxGIoAgbUI+BSAU4NA+wkoAGJmpgCImUuRqRQARZgtQiCkgAIgZCyGIkBAAeAcINAxAgqAmFEqAGLmUmQqBUARZosQCCmgAAgZi6EIEOhFwKcAnB4E2ktAARAzLwVAzFyKTKUAKMJsEQLhBFz8h4vEQAQI9ENAAdAPJC8hEEhAARAojJVGUQDEzKXIVAqAIswWIRBOQAEQLhIDESDQTwElQD+hvIxAAAEFQIAQehhBARAzlyJTKQCKMFuEQCgBF/+h4jAMAQIDFFAADBDMywkMooACYBDxe1laARAzlyJTKQCKMFuEQCgBBUCoOAxDgMAABRQAAwTzcgKDKKAAGER8BUBM/MGeSgEw2AlYn0BZARf/Zb2tRoBAawSUAK1xtVcCzRZQADRbtDn78wmA5ji25V4UAG0Zm6EJrLOAAmCd6byRAIFAAgqAQGEYhUAvAgqAmKeHAiBmLkWmUgAUYbYIgRACLv5DxGAIAgSaJKAEaBKk3RBooYACoIW4DexaAdAAXru/VQHQ7gman0D/BRQA/bfySgIE2kNACdAeOZmyvgIKgJjZKwBi5lJkKgVAEWaLEBh0ARf/gx6BAQgQaIGAAqAFqHZJoIkCCoAmYjZxVwqAJmK2264UAO2WmHkJrJuAAmDd3LyLAIHYAgqA2PmYjoACIOY5oACImUuRqRQARZgtQmBQBVz8Dyq/xQkQaLGAEqDFwHZPoAEBBUADeC18qwKghbjRd60AiJ6Q+Qg0JuDivzE/7yZAIL6AAiB+Riasr4ACIGb2CoCYuRSZSgFQhNkiBAZNQAEwaPQWJkCgoIASoCC2pQgMQEABMACsgi9VABTEjraUAiBaIuYh0FwBBUBzPe2NAIGYAgqAmLmYioACIOY5oACImUuRqRQARZgtQmBQBFz8Dwq7RQkQGAQBBcAgoFuSQD8EFAD9QBqElygABgE9ypIKgChJmINA8wUUAM03tUcCBOIKKAHiZmOy+gooAGJmrwCImUuRqRQARZgtQqC4gIv/4uQWJEAggIASIEAIRiCwkoACIObpoACImUuRqRQARZgtQqC4gAKgOLkFCRAIIKAACBCCEQgoAMKfAwqA8BG1bkAFQOts7ZnAYAm4+B8seesSIDDYAgqAwU7A+gRWFfAJgJhnhAIgZi5FplIAFGG2CIGiAgqAotwWI0AgmIASIFggxqm1gAIgZvwKgJi5FJlKAVCE2SIEigooAIpyW4wAgWACCoBggRin1gIKgJjxKwBi5lJkKgVAEWaLECgqoAAoym0xAgQCCigBAoZipFoKKABixq4AiJlLkakUAEWYLUKgqIACoCi3xQgQCCigAAgYipFqKaAAiBm7AiBmLkWmUgAUYbYIgWICLv6LUVuIAIHgAkqA4AEZrxYCCoCYMSsAYuZSZCoFQBFmixAoJqAAKEZtIQIEggsoAIIHZLxaCCgAYsasAIiZS5GpFABFmC1CoJiAAqAYtYUIEAguoAAIHpDxaiGgAIgZswIgZi5FplIAFGG2CIEiAi7+izBbhACBNhFQALRJUMbsaAEFQMx4FQAxcykylQKgCLNFCBQRUAAUYbYIAQJtIqAAaJOgjNnRAgqAmPEqAGLmUmQqBUARZosQKCKgACjCbBECBNpIQAnQRmEZtSMFFAAxY1UAxMylyFQKgCLMFiFQREABUITZIgQItJGAAqCNwjJqRwooAGLGqgCImUuRqRQARZgtQqCIgAKgCLNFCBBoIwEFQBuFZdSOFFAAxIxVARAzlyJTKQCKMFuEQBEBBUARZosQINBmAkqANgvMuB0loACIGacCIGYuRaZSABRhtgiBIgIKgCLMFiFAoM0EFABtFphxO0pAARAzTgVAzFyKTKUAKMJsEQJFBBQARZgtQoBAmwkoANosMON2lIACIGacCoCYuRSZSgFQhNkiBFou4OK/5cQWIECgTQUUAG0anLE7QkABEDNGBUDMXIpMpQAowmwRAi0XUAC0nNgCBAi0qYACoE2DM3ZHCCgAYsaoAIiZS5GpFABFmC1CoOUCCoCWE1uAAIE2FVAAtGlwxu4IAQVAzBgVADFzKTKVAqAIs0UItFxAAdByYgsQINCmAgqANg3O2B0hoACIGaMCIGYuRaZSABRhtgiBlgsoAFpObAECBNpUQAHQpsEZuyMEFAAxY1QAxMylyFQKgCLMFiHQcgEFQMuJLUCAQBsLKAHaODyjt7WAAiBmfAqAmLkUmUoBUITZIgRaKuDiv6W8dk6AQAcIKAA6IESH0JYCCoCYsSkAYuZSZCoFQBFmixBoqYACoKW8dk6AQAcIKAA6IESH0JYCCoCYsSkAYuZSZCoFQBFmixBoqYACoKW8dk6AQAcIKAA6IESH0JYCCoCYsSkAYuZSZCoFQBFmixBoqYACoKW8dk6AQAcIKAA6IESH0JYCCoCYsSkAYuZSZCoFQBFmixBoqYACoKW8dk6AQAcIKAA6IESH0JYCCoCYsSkAYuZSZCoFQBFmixBoqYACoKW8dk6AQAcIKAA6IESH0JYCCoCYsSkAYuZSZCoFQBFmixBoqYACoKW8dk6AQAcIKAA6IESH0JYCCoCYsSkAYuZSZCoFQBFmixBoqYACoKW8dk6AQAcIKAA6IESH0JYCCoCYsSkAYuZSZCoFQBFmixBoqYACoKW8dk6AQAcIKAA6IESH0JYCCoCYsSkAYuZSZCoFQBFmixBoqYACoKW8dk6AQIcIKAE6JEiH0VYCCoCYcSkAYuZSZCoFQBFmixBomYCL/5bR2jEBAh0moADosEAdTlsIKABixqQAiJlLkakUAEWYLUKgZQIKgJbR2jEBAh0moADosEAdTlsIKABixqQAiJlLkakUAEWYLUKgZQIKgJbR2jEBAh0moADosEAdTlsIKABixqQAiJlLkakUAEWYLUKgZQIKgJbR2jEBAh0moADosEAdTlsIKABixqQAiJlLkakUAEWYLUKgZQIKgJbR2jEBAh0moADosEAdTlsIKABixqQAiJlLkakUAEWYLUKgZQIKgJbR2jEBAh0moADosEAdTlsIKABixqQAWIdczjrrrPStb32reue5556b8n/vaXvwwQfThRdemB544IH0xhtvpNGjR6cjjjginXbaaWno0KFrXXnevHnpm9/8Zpo+fXp65ZVX0lZbbZX233//dPbZZ6f8F6lZmwKgWZL2Q2BwBBQAg+NuVQIE2k9AAdB+mZm4/QUUADEzVAAMMJcnn3wyffCDH0xLly7ttQC49tpr06RJk9Ly5curi/aRI0emmTNnpmXLlqU99tgj3XXXXWn48OFrrP7EE0+kffbZJ7322mtpk002STvssEN65pln0sKFC9Pmm2+e7rvvvrTTTjsNcOqeX64AaAqjnRAYNAEFwKDRW5gAgTYTUAC0WWDG7QgBBUDMGBUAA8gl/8v2vvvum37zm9+kj370o+nOO+/s8RMAzz33XHWR/vbbb6cpU6akU089NeX/4ZkzZ06aMGFCeuqpp9JJJ52ULr744lVWz2XBbrvtlnIJcOihh6arrrqqKgkWL16cjj766HTTTTdVP3/kkUfSkCFDBjC5AqBhLDsgEFBAARAwFCMRIBBSQAEQMhZDdbiAAiBmwAqAAeRy2WWXpS9+8Yvp29/+dnWRfuWVV/ZYAOSL+6lTp6bx48enGTNmrLJCvh1g7733Tuuvv36aO3du9fH+ru2GG25IEydOrH7TP3v27DRixIjuny1atKi6hWDBggVVEXDwwQcPYHIFQMNYdkAgoIACIGAoRiJAIKSAAiBkLIbqcAEFQMyAFQD9zGX+/PnVb/W33nrr9G//9m9VEdBTAZD/hTyf7C+99FK6/vrrqwv61bcxY8akWbNmpUsvvTSdcMIJ3T/Ozwf4yU9+kiZPnlwVCKtv+c+nTZtWPUfguuuu6+fka3+ZWwAaJrQDAoMm4OJ/0OgtTIBAGwooANowNCO3vYACIGaECoB+5vL5z38+5fv68737+TaAL3zhCz0WAPlj/qNGjar2+sILL/T40L7jjz8+XX755enYY4+t/tm15d/w59sHrrnmmnTkkUeuMVn+86OOOiptv/321XMBGt0UAI0Kej+BwRNQAAyevZUJEGg/AQVA+2Vm4vYXUADEzFAB0I9c7rjjjvTpT3865RLg6quvrt6xtgLg9ttvT5/5zGfShhtumN56663q3v/Vt/PPPz+deeaZ1cP+7rnnnurH+aGCw4YNSytWrKi+NWDPPfdc431dtw/k+/+XLFlS3UbQyKYAaETPewkMroACYHD9rU6AQHsJKADaKy/TdoaAAiBmjgqAPnLJF9q77rpryrcA5If3dd2zv7YCoOs+/vy6l19+uce9X3LJJenEE09Mu+yyS3rssceq1+T9528KyFv+poGenvSf/3zs2LHVa1599dXqWQF9bfkif21bvk0hFw42AgTaT0AB0H6ZmZgAgcETUAAMnr2V6yugAIiZvQKgj1zOOusB/f5XAAAgAElEQVSs9K1vfat6Yn9+uF/XtrYCIH9CID+xf9ttt03PP/98j3u/4oor0nHHHVd9xd/TTz9dvSY/EHC77bar/nP+eH/+mP/q27PPPlu9p+v1vV3cd71XARDzL56pCDQqoABoVND7CRCom4ASoG6JO97BFlAADHYCPa+vAOgll/wb9w9+8IPVb+r/+Z//eZWv3muXTwD0dtq5BSDmX0pTEeiPgAKgP0peQ4AAgf8noABwNhAoK6AAKOvd39UUAL1I7bffftU9+g8++GD6yEc+ssorPQOgv6eY1xEg0AoBBUArVO2TAIFOFlAAdHK6ji2igAIgYiopKQB6yWXTTTdNb7zxRtpiiy3WeNXChQurB/FtvPHGaaONNqo+8p8/JeBbAGKe6KYi0GkCCoBOS9TxECDQagEFQKuF7Z/AqgIKgJhnhAKgjwIgX+j3Z/vABz5QfYVf/pfybbbZpnoA4PXXX58mTpy4xtvHjBmTZs2alS699NJ0wgkndP/88MMPr94zefLkNHXq1DXel/982rRp6YgjjkjXXXddf8bq9TVuAWiY0A4IDJqAAmDQ6C1MgECbCigA2jQ4Y7etgAIgZnQKgHXMZW23AOTd5Sf85yf9jx8/Ps2YMWOVFbq+yi9/hV9+SODWW2/d/fOf/vSn6bDDDque7j979uw0YsSI7p8tWrQojR49Oi1YsCDdeOON6ZBDDlnHyf/f2xQADRPaAYFBE1AADBq9hQkQaFMBBUCbBmfsthVQAMSMTgGwjrn0VgDki/f8NX5Lly5NU6ZMSaeeemrK/6OTbw+YMGFC9XWCPf2Wf/ny5dUDB/OnAw499NB01VVXpeHDh6fFixenSZMmVRf++eePPvroKg8kXMdDSAqAdZXzPgKDL6AAGPwMTECAQHsJKADaKy/Ttr+AAiBmhgqAdcyltwIg7zJfvB9zzDFpxYoVKZ/8I0eOTDNnzkzLli1Lu+++e7r77rurZwesvuXXjBs3Lr3++utpk002STvuuGP1VYH5VoTNNtss3XvvvWns2LHrOPWqb1MANIXRTggMioACYFDYLUqAQBsLKADaODyjt6WAAiBmbAqAdcylrwIg7zZ/3P+CCy6o/pl/iz9q1Kjq/v3TTz89DR06dK0rz507N51zzjlp+vTpaf78+WnLLbdMBxxwQDr77LOr39o3a1MANEvSfgiUF1AAlDe3IgEC7S2gAGjv/EzffgIKgJiZKQBi5lJkKgVAEWaLEGiJgAKgJax2SoBABwsoADo4XIcWUkABEDIWXwMYM5YyUykAyjhbhUArBBQArVC1TwIEOllAAdDJ6Tq2iAIKgIipJAVAzFjKTKUAKONsFQKtEFAAtELVPgkQ6GQBBUAnp+vYIgooACKmogCImUqhqRQAhaAtQ6AFAgqAFqDaJQECHS2gAOjoeB1cQAEFQMBQkgIgZiqFplIAFIK2DIEWCCgAWoBqlwQIdLSAAqCj43VwAQUUAAFDUQDEDKXUVAqAUtLWIdB8AQVA803tkQCBzhZQAHR2vo4unoACIF4meSLfAhAzlyJTKQCKMFuEQEsEFAAtYbVTAgQ6WEAB0MHhOrSQAgqAkLEoAGLGUmYqBUAZZ6sQaIWAAqAVqvZJgEAnCygAOjldxxZRQAEQMRWfAIiZSqGpFACFoC1DoEUCSoAWwdotAQIdKaAA6MhYHVRgAQVAzHDcAhAzlyJTKQCKMFuEQMsEFAAto7VjAgQ6UEAB0IGhOqTQAgqAmPEoAGLmUmQqBUARZosQaJmAAqBltHZMgEAHCigAOjBUhxRaQAEQMx4FQMxcikylACjCbBECLRNQALSM1o4JEOhAAQVAB4bqkEILKABixqMAiJlLkakUAEWYLUKgZQIKgJbR2jEBAh0ooADowFAdUmgBBUDMeBQAMXMpMpUCoAizRQi0TEAB0DJaOyZAoMMEXPx3WKAOpy0EFAAxY1IAxMylyFQKgCLMFiHQMgEFQMto7ZgAgQ4TUAB0WKAOpy0EFAAxY1IAxMylyFQKgCLMFiHQMgEFQMto7ZgAgQ4TUAB0WKAOpy0EFAAxY1IAxMylyFQKgCLMFiHQMgEFQMto7ZgAgQ4TUAB0WKAOpy0EFAAxY1IAxMylyFQKgCLMFiHQMgEFQMto7ZgAgQ4TUAB0WKAOpy0EFAAxY1IAxMylyFQKgCLMFiHQMgEFQMto7ZgAgQ4TUAB0WKAOpy0EFAAxY1IAxMylyFQKgCLMFiHQUgElQEt57ZwAgQ4RUAB0SJAOo60EFAAx41IAxMylyFQKgCLMFiHQUgEFQEt57ZwAgQ4RUAB0SJAOo60EFAAx41IAxMylyFQKgCLMFiHQUgEFQEt57ZwAgQ4RUAB0SJAOo60EFAAx41IAxMylyFQKgCLMFiHQUgEFQEt57ZwAgQ4RUAB0SJAOo60EFAAx41IAxMylyFQKgCLMFiHQUgEFQEt57ZwAgQ4RUAB0SJAOo60EFAAx41IAxMylyFQKgCLMFiHQMgEX/y2jtWMCBDpMQAHQYYE6nLYQUADEjEkBEDOXIlMpAIowW4RAywQUAC2jtWMCBDpMQAHQYYE6nLYQUADEjEkBEDOXIlMpAIowW4RAywQUAC2jtWMCBDpMQAHQYYE6nLYQUADEjEkBEDOXIlMpAIowW4RAywQUAC2jtWMCBDpMQAHQYYE6nLYQUADEjOn/a+9OoCWpyjuAXxAQWYKyKSQqICjgEgkBRcQVZ8IiCYvIOAGCCwZBT4KDKCJREFmMYJQgI2pwhFE0gAQOZCKogIiYAOE4KhM3FBABgbCMCiNjzlekhp73+m3dr+673fW753hAXnfVrd/XVd31r1u3BABl1iVLrwQAWZithEBjAgKAxmgtmACBIRMQAAxZQW3OQAgIAMoskwCgzLpk6ZUAIAuzlRBoTEAA0BitBRMgMGQCAoAhK6jNGQgBAUCZZRIAlFmXLL0SAGRhthICjQkIABqjtWACBIZIwMn/EBXTpgyUgACgzHIJAMqsS5ZeCQCyMFsJgcYEBACN0VowAQJDJCAAGKJi2pSBEhAAlFkuAUCZdcnSKwFAFmYrIdCYgACgMVoLJkBgiAQEAENUTJsyUAICgDLLJQAosy5ZeiUAyMJsJQQaExAANEZrwQQIDJGAAGCIimlTBkpAAFBmuQQAZdYlS68EAFmYrYRAYwICgMZoLZgAgSESEAAMUTFtykAJCADKLJcAoMy6ZOmVACALs5UQaFRACNAor4UTIDAEAgKAISiiTRhIAQFAmWUTAJRZlyy9EgBkYbYSAo0KCAAa5bVwAgSGQEAAMARFtAkDKSAAKLNsAoAy65KlVwKALMxWQqBRAQFAo7wWToDAEAgIAIagiDZhIAUEAGWWTQBQZl2y9EoAkIXZSgg0KiAAaJTXwgkQGAIBAcAQFNEmDKSAAKDMsgkAyqxLll4JALIwWwmBRgUEAI3yWjgBAgMu4OR/wAuo+wMtIAAos3wCgDLrkqVXAoAszFZCoFEBAUCjvBZOgMCACwgABryAuj/QAgKAMssnACizLll6JQDIwmwlBBoVEAA0ymvhBAgMuIAAYMALqPsDLSAAKLN8AoAy65KlVwKALMxWQqBxASFA48RWQIDAgAoIAAa0cLo9FAICgDLLKAAosy5ZeiUAyMJsJQQaFxAANE5sBQQIDKiAAGBAC6fbQyEgACizjAKAMuuSpVcCgCzMVkIgi4AQIAuzlRAgMGACAoABK5juDpWAAKDMcgoAyqxLll4JALIwWwmBLAICgCzMVkKAwIAJCAAGrGC6O1QCAoAyyykAKLMuWXolAMjCbCUEsggIALIwWwkBAgMmIAAYsILp7lAJCADKLKcAoMy6ZOmVACALs5UQyCIgAMjCbCUECAyQgJP/ASqWrg6lgACgzLIKAMqsS5ZeCQCyMFsJgSwCAoAszFZCgMAACQgABqhYujqUAgKAMssqACizLll6JQDIwmwlBLIJCAGyUVsRAQIDICAAGIAi6eJQCwgAyiyvAKDMumTplQAgC7OVEMgmIADIRm1FBAgMgIAAYACKpItDLSAAKLO8AoAy65KlVwKALMxWQiCbgAAgG7UVESBQuICT/8ILpHutEBAAlFlmAUCZdcnSKwFAFmYrIZBVQAiQldvKCBAoVEAAUGhhdKtVAgKAMsstACizLll6JQDIwmwlBLIKCACyclsZAQKFCggACi2MbrVKQABQZrkFAGXWJUuvBABZmK2EQFYBAUBWbisjQKBQAQFAoYXRrVYJCADKLLcAoMy6ZOmVACALs5UQyCogAMjKbWUECBQo4OS/wKLoUisFBABlll0AUGZdsvRKAJCF2UoIZBcQAmQnt0ICBAoSEAAUVAxdabWAAKDM8gsAyqxLll4JALIwWwmB7AICgOzkVkiAQEECAoCCiqErrRYQAJRZfgFAmXXJ0isBQBZmKyGQXUAAkJ3cCgkQKETAyX8hhdANAiklAUCZHwMBQJl1ydIrAUAWZishMCMCQoAZYbdSAgRmWEAAMMMFsHoCHQICgDI/DgKAMuuSpVcCgCzMVkJgRgQEADPCbqUECMywgABghgtg9QQEAMV/BgQAxZeouQ4KAJqztWQCJQgIAUqogj4QIJBLwMl/LmnrITA5ASMAJueU+1UCgNziBa1PAFBQMXSFQAMCAoAGUC2SAIFiBQQAxZZGx1oqIAAos/ACgDLrkqVXAoAszFZCYEYFhAAzym/lBAhkFBAAZMS2KgKTEBAATAJpBl4iAJgB9FJWKQAopRL6QaA5AQFAc7aWTIBAOQJO/suphZ4QqAUEAGV+FgQAZdYlS68EAFmYrYTAjAsIAWa8BDpAgECDAk7+G8S1aAJ9CAgA+sBr8K0CgHFw40fztddemy6++OJ0zTXXpFtuuSX95je/SRtuuGHaaaed0hFHHJFe/epXj7mE6667Lp188snp29/+dnr44YfT5ptvnubMmZOOOuqotOaaa475vjvuuCN96EMfSpdffnm6++6709Of/vS02267peOOO656nuZ0NQHAdElaDoHyBYQA5ddIDwkQ6E1AANCbm3cRaFpAANC0cG/LFwCM43bllVemXXfdtXrFqquumrbccsu09tprpx/96EfVCX20Y489Np1wwgmjlnLeeeelgw8+OD322GPVSfvGG2+cFi9enJYtW5Z22GGH9M1vfjOttdZao973gx/8IO2yyy7pvvvuS+utt156znOek37yk5+kBx54IG2wwQbpW9/6Vtp66617q/aIdwkApoXRQggMjIAQYGBKpaMECExSwMn/JKG8jMAMCAgAZgB9EqsUAIyDdMUVV6TDDjssHXnkkemAAw5IT3va06pXP/roo+mDH/xgOumkk6r/f8kll6Q999xzxZJuvfXW6iT9kUceSaeeemqaN29eii+on//852n27NlpyZIl6fDDD09nnHHGSmuPsOBFL3pRihBg3333TQsWLKhCgqVLl6aDDjooXXjhhdXfb7rppiqQ6LcJAPoV9H4CgykgCBjMuuk1AQIrCzj594kgULaAAKDM+ggAxqnLgw8+WJ2Ar7baal1ftfvuu1fD9Pfaa6/qNoG6xcn9mWeemWbNmpUWLVq00nvjdoCdd945rb766um2226rhvfX7Stf+Uraf//9qyv9P/vZz9K666674m8PPfRQdQvBvffeWwUBe++9d9+fKAFA34QWQGCgBQQBA10+nSfQegEBQOs/AgAKFxAAlFkgAUAfdTn99NOr0QFxtf+HP/xhtaT4QR0f9jvvvDOdf/751Qn9yLbNNttU8wnMnz8/HXrooSv+HPMDfOlLX6pGHUSAMLLFfz/rrLOqeQQWLlzYR88ff6sAoG9CCyAwVAICgaEqp40hMJQCTvqHsqw2akgFBABlFlYA0Edd4haAY445Jm233XbpxhtvrJYUw/w322yz6t9vv/32rpP2vfWtb02f/exn05vf/Obqn3WLK/xx+8C5556b5s6dO6pn8d8PPPDAtMUWW1TzAvTbBAD9Cno/geEVEAYMb21tGYFBFXDyP6iV0++2CggAyqy8AKDHusSP4+233766Hz+eBvDJT36yWlLMG/C6170uPfnJT06//e1vq3v/R7aPfOQj6f3vf3812d/VV19d/TnmFXjKU56Sli9fXj01IJ4yMLLVtw/E/f+/+93vqtsI+mkCgH70vJdA+wSEAu2ruS0mUIKAE/8SqqAPBKYuIACYulmOdwgAelT+9Kc/nd7+9renNdZYo5q0L2brj1bfxx/39v/qV7/quvRPfepT6R3veEd6wQtekL73ve9Vr7nnnnuqJwVEi9sJus30H/992223rV7z61//uporYKIWJ/ljtbhNIQIHjQABAtMpICiYTk3LItA+ASf87au5LR5OAQFAmXUVAPRQlxjuHxP5xVX4mOX/qKOOWrGUL3zhC9WM/c985jPTL37xi65L/9znPpfe8pa3VKHBj3/84+o1MSHgs571rOrfY3h/DPMf2X7605+uCBri9eOd3NfvFQD0UGBvIUCgUQEBQaO8Fk5gIAWc9A9k2XSawLgCAoAyPyACgCnWJWbnj5P/uHr+pje9qbpfv/NLq7QRAONtnlsAplh8LydAoAgBAUIRZdAJAj0JONHvic2bCAykgACgzLIJAKZQlxjS//KXv7y6Qr/HHnukiy66aNR9+OYAmAKolxIgQCCTgNAgE7TVEOgQcLLv40Cg3QICgDLrLwCYZF3uu+++9MpXvjItXry4+ufll19eTdo3snkKwCRBvYwAAQIDJiBEGLCC6W4WASf5WZithMBACggAyiybAGASdXn44YfTrrvumq6//vq0ww47pCuvvDKtu+66Xd8ZPxA33XTTagLA888/P+2///6jXrfNNtukW265Jc2fPz8deuihK/5+wAEHVO857LDD0plnnjnqffHfzzrrrDRnzpy0cOHCSfR8/Je4BaBvQgsgQIBAcQKCiuJKUlSHnLAXVQ6dITDUAgKAMssrAJigLo888kjafffd09e//vX0/Oc/v3ps3/rrrz/uu2KG/5jpf9asWWnRokUrvbZ+lF88wi8mCXzGM56x4u9f/vKX0xvf+MZqdv+Ya6AzZHjooYfS5ptvnu699950wQUXpH322afvT5QAoG9CCyBAgACBhgVKCzScQDdccIsnQGBoBAQAZZZSADBOXR577LG03377pa9+9avV7PvXXHNN2mSTTSasZJy8x2P8Hn300eopAfPmzasmCozbA2bPnp2WLFnS9Sp/rC8eDRijA/bdd9+0YMGCtNZaa6WlS5emgw8+uDrxj7/ffPPNadVVV52wHxO9QAAwkZC/EyBAgAABAgQIECDQi4AAoBe15t8jABjH+Itf/GI103+0rbbaKm288cZdXx2hQMz+39ni5P2QQw5Jy5cvT/Hhj/fG/AHLli1L22+/fbrqqqvS2muvPWp58ZpXvOIV6f7770/rrbde2nLLLatHBT7wwAPVyIMIIbbddttp+WQIAKaF0UIIECBAgAABAgQIEBghIAAo8yMhABinLuecc051Ej9Re/azn51uvfXWUS+L4f4nnXRSin/GVfzNNtusun//6KOPTmuuueaYi73tttvS8ccfX000eM8996SNNtqoug3huOOOS3HSPl1NADBdkpZDgAABAgQIECBAgECngACgzM+DAKDMumTplQAgC7OVECBAgAABAgQIEGidgACgzJILAMqsS5ZeCQCyMFsJAQIECBAgQIAAgdYJCADKLLkAoMy6ZOmVACALs5UQIECAAAECBAgQaJ2AAKDMkgsAyqxLll4JALIwWwkBAgQIECBAgACB1gkIAMosuQCgzLpk6ZUAIAuzlRAgQIAAAQIECBBonYAAoMySCwDKrEuWXgkAsjBbCQECBAgQIECAAIHWCQgAyiy5AKDMumTplQAgC7OVECBAgAABAgQIEGidgACgzJILAMqsS5ZeCQCyMFsJAQIECBAgQIAAgdYJCADKLLkAoMy6ZOmVACALs5UQIECAAAECBAgQaJ2AAKDMkgsAyqxLll4JALIwWwkBAgQIECBAgACB1gkIAMosuQCgzLpk6ZUAIAuzlRAgQIAAAQIECBBonYAAoMySCwDKrEuWXgkAsjBbCQECBAgQIECAAIHWCQgAyiy5AKDMumTplQAgC7OVECBAgAABAgQIEGidgACgzJILAMqsS5ZeCQCyMFsJAQIECBAgQIAAgdYJCADKLLkAoMy6ZOmVACALs5UQIECAAAECBAgQaJ2AAKDMkgsAyqxLll4JALIwWwkBAgQIECBAgACB1gkIAMosuQCgzLpk6ZUAIAuzlRAgQIAAAQIECBBonYAAoMySCwDKrEuWXgkAsjBbCQECBAgQIECAAIHWCQgAyiy5AKDMumTplQAgC7OVECBAgAABAgQIEGidgACgzJILAMqsS5ZeCQCyMFsJAQIECBAgQIAAgdYJCADKLLkAoMy6ZOmVACALs5UQIECAAAECBAgQaJ2AAKDMkgsAyqxLll4JALIwWwkBAgQIECBAgACB1gkIAMosuQCgzLpk6ZUAIAuzlRAgQIAAAQIECBBonYAAoMySCwDKrEuWXgkAsjBbCQECBAgQIECAAIHWCQgAyiy5AKDMumTplQAgC7OVECBAgAABAgQIEGidgACgzJILAMqsS5ZeCQCyMFsJAQIECBAgQIAAgdYJCADKLLkAoMy6ZOmVACALs5UQIECAAAECBAgQaJ2AAKDMkgsAyqxLll4JALIwWwkBAgQIECBAgACB1gkIAMosuQCgzLpk6ZUAIAuzlRAgQIAAAQIECBBonYAAoMySCwDKrEuWXgkAsjBbCQECBAgQIECAAIHWCQgAyiy5AKDMumTplQAgC7OVECBAgAABAgQIEGidgACgzJILAMqsS5ZeCQCyMFsJAQIECBAgQIAAgdYJCADKLLkAoMy6ZOmVACALs5UQIECAAAECBAgQaJ2AAKDMkgsAyqxLll4JALIwWwkBAgQIECBAgACB1gkIAMosuQCgzLpk6ZUAIAuzlRAgQIAAAQIECBBonYAAoMySCwDKrEuWXgkAsjBbCQECBAgQIECAAIHWCQgAyiy5AKDMumTplQAgC7OVECBAgAABAgQIEGidgACgzJILAMqsS5ZeCQCyMFsJAQIECBAgQIAAgdYJCADKLLkAoMy6ZOmVACALs5UQIECAAAECBAgQaJ2AAKDMkgsAyqxLll4JALIwWwkBAgQIECBAgACB1gkIAMosuQCgzLpk6ZUAIAuzlRAgQIAAAQIECBBonYAAoMySCwDKrEuWXgkAsjBbCQECBAgQIECAAIHWCQgAyiy5AKDMumTplQAgC7OVECBAgAABAgQIEGidgACgzJILAMqsS5ZeCQCyMFsJAQIECBAgQIAAgdYJCADKLLkAoMy6ZOmVACALs5UQIECAAAECBAgQaJ2AAKDMkgsAyqxLll4JALIwWwkBAgQIECBAgACB1gkIAMosuQCgzLpk6ZUAIAuzlRAgQIAAAQIECBBonYAAoMySCwDKrEuWXgkAsjBbCQECBAgQIECAAIHWCQgAyiy5AKDMumTplQAgC7OVECBAgAABAgQIEGidgACgzJILAMqsS5ZeCQCyMFsJAQIECBAgQIAAgdYJCADKLLkAoMy6ZOmVACALs5UQIECAAAECBAgQaJ2AAKDMkgsAyqxLll4JALIwWwkBAgQIECBAgACB1gkIAMosuQCgzLpk6ZUAIAuzlRAgQIAAAQIECBBonYAAoMySCwDKrEuWXgkAsjBbCQECBAgQIECAAIHWCQgAyiy5AKDMumTplQAgC7OVECBAgAABAgQIEGidgACgzJILAMqsS5ZeCQCyMFsJAQIECBAgQIAAgdYJCADKLLkAoMy6ZOmVACALs5UQIECAAAECBAgQaJ2AAKDMkgsAyqxLll4JALIwWwkBAgQIECBAgACB1gkIAMosuQCgzLpk6ZUAIAuzlRAgQIAAAQIECBBonYAAoMySCwDKrEuWXgkAsjBbCQECBAgQIECAAIHWCQgAyiy5AKDMumTplQAgC7OVECBAgAABAgQIEGidgACgzJILAMqsS5ZeCQCyMFsJAQIECBAgQIAAgdYJCADKLLkAoMy6ZOmVACALs5UQIECAAAECBAgQaJ2AAKDMkgsAyqxLll4JALIwWwkBAgQIECBAgACB1gkIAMosuQCgzLpk6ZUAIAuzlRAgQIAAAQIECBBonYAAoMySCwDKrEuWXgkAsjBbCQECBAgQIECAAIHWCQgAyiy5AKDMulS9uuyyy9Jpp52WbrzxxvTII4+k5z3veemQQw5Jhx9+eFp11VX77rkAoG9CCyBAgAABAgQIECBAoIuAAKDMj4UAoMy6pJNPPjm9733vq3q3xRZbpHXWWSctXrw4LV++PO21117poosu6jsEEAAUWnzdIkCAAAECBAgQIDDgAgKAMgsoACiwLtddd13aeeed0yqrrJLOPffcNGfOnKqXN998c5o9e3a666670kc/+tE0b968vnovAOiLz5sJECBAgAABAgQIEBhDQABQ5kdDAFBgXfbYY49q+P+hhx6a5s+fv1IPFy5cmObOnZs22GCDdOedd6bVV1+95y0QAPRM540ECBAgQIAAAQIECIwjIAAo8+MhACisLg8++GDaaKON0qOPPpquv/76tOOOO67Uw2XLlqUNN9wwxesWLVqUZs2a1fMWCAB6pvNGAgQIECBAgAABAgQEAAP3GRAAFFayq666Kr3qVa9Ka665ZnrooYfSaqutNqqHu+66a7ryyivT8ccfnz7wgQ/0vAUCgJ7pvJEAAQIECBAgQIAAAQHAwH0GBACFlewzn/lMetvb3pae+9znpiVLlnTtXdwacPbZZ6cDDzwwLViwoOctEAD0TOeNBAgQIECAAAECBAgIAAbuMyAAKKxkMbnfe97znvSSl7wkfec73+nau6OPPjqdeuqpac8990yXXEWodx0AAB/bSURBVHLJuFsQJ/ljtTvuuKOwrdcdAgQIECBAgAABAgSGQSDmKovbmrWyBAQAZdUjnXDCCem4445Lu+yyS7r66qu79i7+Hq977Wtfm6644oq+A4CYoEMrSyAmeIy2ySablNUxvakE1KfcD4LalFsb+47alC1Qdu8c28qtj9p0r83dd99dTVa+dOnScovX0p4JAAor/HSPABhv8+rRAbfffnthCrqjNmV/BtSn3PqoTbm1iZ6pT7n1UZtya2PfUZuyBfRu0AQEAIVVLPccALH5AoDCPgR+JJdXkBE98kO53BKpTbm1cRKjNmULlN07x7Zy66M25dZGz7oLCAAK+2TkfgqAAKCwD8D/d8eXSZl1qXulPuXWR23KrY0AQG3KFii7d45t5dZHbcqtjZ4JAAbiM/Dggw+mDTfcMC1btixdf/31accdd1yp3/Hf4+/xukWLFqVZs2b1vF0OWD3TNf5GtWmcuK8VqE9ffI2+WW0a5e174erTN2FjC1CbxminZcHqMy2MjSxEbRphtdAGBYwAaBC310Xvvvvu6fLLL0/xuL/58+evtJiFCxemuXPnpg022CD98pe/TGussUavq3EvZs9yzb/Rl0nzxv2sQX360Wv2vWrTrG+/S1effgWbe7/aNGc7HUtWn+lQbGYZatOMq6U2JyAAaM625yVfe+211VMAVllllXTuueemOXPmVMu6+eab0+zZs9Ndd92VTjnllOpxgf00B6x+9Jp9r9o069vv0tWnX8Hm3q82zdlOx5LVZzoUm1mG2jTjOl1LVZ/pkpz+5ajN9JtaYrMCAoBmfXte+oknnpiOPfbY6v1bbLFFWmedddLixYvT8uXL0x577JEuvvji9KQnPann5ccbHbD64mv0zWrTKG/fC1efvgkbW4DaNEY7LQtWn2lhbGQhatMI67QtVH2mjXLaF6Q2005qgQ0LCAAaBu5n8Zdeemk6/fTT0w033FDNCbDVVlulQw45JB1xxBF9n/z30y/vJUCAAAECBAgQIECAAIHBExAADF7N9JgAAQIECBAgQIAAAQIECExZQAAwZTJvIECAAAECBAgQIECAAAECgycgABi8mukxAQIECBAgQIAAAQIECBCYsoAAYMpk3kCAAAECBAgQIECAAAECBAZPQAAweDXTYwIECBAgQIAAAQIECBAgMGUBAcCUybyBAAECBAgQIECAAAECBAgMnoAAYPBqpscECBAgQIAAAQIECBAgQGDKAgKAKZMN/hsuu+yydNppp6Ubb7wxPfLII+l5z3teOuSQQ9Lhhx+eVl111cHfwBncgj/84Q/p2muvTRdffHG65ppr0i233JJ+85vfpA033DDttNNO6YgjjkivfvWrR/Xwgx/8YPrQhz40bs9/+MMfpq233rrra+64447q/Zdffnm6++6709Of/vS02267peOOOy798R//8QyKlLXqv/mbv0mf//znx+3Ub3/727TmmmuOek34f/jDH05f//rX0/3331+57r333unYY49NT33qU8dc5v/+7/9W77voootS1OlpT3taes1rXlO9b5tttikLaAZ7c+utt6bNN998Uj345je/mV75yldWr7XvTIpsUi/62c9+lq644or03e9+t/rf97///fTYY4+lE044ofq8jteuu+66dPLJJ6dvf/vb6eGHH65qOWfOnHTUUUd13Z/qZfV67Prd736XTj311PSlL30pRb/XWWed9LKXvSy9733vSy996Usntb2D9KJeanPTTTdVx52rrrqqquUDDzxQHX+23377dOihh1bHr27tnHPOqX4TjNfiu+Yv/uIvur6kjce8XuozU8cu+87Ex7VVVlllUoeH2FcOPvjgFa+170yKzYsKEBAAFFCEnF2IH2jxAynaFltsUf1oWrx4cVq+fHnaa6+9qh8LQoDeK3LllVemXXfdtVpAOG655ZZp7bXXTj/60Y+qH8XR4od0/KDubPUPgWc+85npWc96VtcOLFy4sOvffvCDH6Rddtkl3XfffWm99dZLz3nOc9JPfvKT6sfeBhtskL71rW+NGRz0vqWD+c46ANhqq63Sxhtv3HUj4gR/jTXWWOlv3/jGN9Iee+yRIhzYaKONUtSpDndiP4qTnghdRrZf/epXVfATJ7drrbVWVYfbbrst3XPPPekpT3lK+vd///f0ile8YjAxp7nXYbXffvuNudQ777wz/fSnP61OJuO18VmPZt+ZvkL83d/9Xfqnf/qnUQucKAA477zzqh/BERZEMBb7VnyvLFu2LO2www4pApv4/I9svR67li5dWgVAN9xwQ7WvPv/5z6+CzwgTnvSkJ6Vzzz03HXDAAdMHU8CSplqb+A6I75+6RSCz/vrrV/tQBJjRomaf+9znRn3n1ycxUcc4VnZrH/vYx9JLXvISx7z/F5hqfWbq2GXfeeIjO95x7eUvf/mYe33sP3Hsiha/A+IiWt3sOwUcLHVhUgICgEkxDceL4grNzjvvnCLZjB9IcXUm2s0335xmz56d7rrrrvTRj340zZs3bzg2eAa2Iq6eHXbYYenII4+sfoDG1ZZojz76aHWictJJJ1X//5JLLkl77rnnih7WJzH/8A//UL1usi1+cL/oRS+qvoz23XfftGDBguqHdnzJH3TQQenCCy+s/h5XggQ7KdUBwL/8y79U/z6Z9tBDD1WhSpy0v+td70r/+I//mFZfffV07733pr/8y7+sRnxEOHDppZeOWlxcIVu0aFGKHxNf/epXq0AmTore/e53p09+8pNVaBA/1CMk0sYX+Ou//usUJ5r7779/Ov/88+07DXxgYqTK9ddfn3bcccfqxP0zn/lMuuCCC8YdARDhVgRbMZosrsjH90d8x/z85z+vvleWLFlSjS4744wzVupxP8euv/3bv03z58+v1hsh2rOf/ewqxI598+ijj67CtVhvBHXD0qZamx//+MdVuBgnpgceeGDaZJNNKopwOvPMM6tjWYxYi+NQjEzrbPVJTAQE8e9TaW095k21PmE6E9/79p3JHdfG+8zHRZwTTzyxOk7G8dK+M5UjhNeWIiAAKKUSGfoRJykx/D+G/sWPp84WV5fnzp1bnaDElbY4wdGmLvDggw9WJ+CrrbZa1zfvvvvu1TD9GG0RtwnUrdcfAl/5yleqE6KoWwxBXHfddVcsM05c46pPnKhGEDDWcM+pb+XgvqOXACBCsfe85z3VcP3vfe971RXGuv3iF7+owoHf//731dXIP/uzP1vxt//6r/+qTqLisxAn+Z0jO+Lk54UvfGGK2wridpy///u/H1zUDD2P0TPPeMYzqmBrusIz+87Ehav3l/GulMXJfZxQzpo1qwq7OluMjInQOb5PYuRL5yiZXv3j+yn2pdjnYvkxwqazRT++9rWvVSe43UYzTLzVg/GKiWoTw7zjZL/byIvYwgiqzzrrrCogjosA03ES45j3hOJE9YlX5v7et+88Xp/J1Gaso0CEZjHqL4LP6QzP7DuDcdwdpl4KAIapmuNsS5yYxtDluBJdX+HpfHlclYz71ON18SMufkRp0y9w+umnV6MD4spVnPzVrdcfAjGKI+6BjR9z8SN8ZKt/5MXrIuRpe+slAIgTjO985zvplFNOqYKAkS3mWoirkHFrzUc+8pEVf47/H7fcxN8jeBvZYnnvfe97qxOYOJHRxhaIkS1xNTKOYb/85S9XCtjsO819cib6oRw/hmPIf5xYxKiMCCNHtgjOYphshM4RPtet12NXLCeuYsZy62G4neuMfsToq0033bS6JWBY20S1mWi743a/ffbZp7qlJm5t6my9jgBwzHtCcTL1yX3ssu88Xp/J1Gas/efqq6+ubj+KUDO+i+J3s31noqONv5coIAAosSoN9CkmAXrVq15VfdnHleFuV6jj3vW4h/34449PH/jABxrohUXGLQDHHHNM2m677apJGOtW/xCIIZtx32VctY/7NWOIWQzlj6uf3Vpc4Y8kOm7piBEcI1v89xj+GYl1XIVue6u/+GM0TOwDEXiFd1ylDOf6vvLaKa4yxhW0CMhiLoV43cgWQz9jf4mJ/WL/qVtM9hj3Psff3//+9496Xywv5m6Ie5hjosjOkQVtr9PI7a+v6r7zne9Mn/jEJ1b6s32nuU/LRD+UY5j/ZpttVnXg9ttv7zrh6Fvf+tb02c9+Nr35zW+u/lm3Xo9dMTldnKDGcs8+++xRGx/9qIf+xwidYboNoHNjJ6rNRJ+KL37xi+lNb3pTdZtazB/T2eoA4MUvfnEVtMScG3/0R39UfW/FrTgx6qlbc8x7QmUy9cl97LLvPF6fydRmrP0nQsw47rz+9a9P//Zv/zbqZfadiY48/l6KgACglEo03I+4l/Ntb3tbeu5zn1vdG9mt1Qe2OGGMK27a9ArE1bKYfTnux497LmP4WN3Gmw047meNq/sj71mP0Rzxtxjm2W0obCy7HoIb9//HkNC239ox3lMA4odwjJLonNk67qOtJ8GKtL++j7bzk1HfPhMnGnHCUbc/+ZM/qa5Axt/r+TY63xfLq5/QEOFMhDTaaIG4uhyW8TmPmenjtorOZt9p7lMz0Q/lmPPkda97XXryk59cXUXuNnN2jIqJACzCrrh6Fq2fY1fMpxHzbsRy6wltOwXiOBtBd6wjArkI5oaxTVSbibY5bgmLeUliLpq4raazjTeTeQSV8cSZbqGmY94TipOpT+5jl33n8fpMpjbd9p+Y5yQuxsRTLr785S+nN7zhDaNeZt+Z6Mjj76UICABKqUTD/ajvY45Ze2M4c7cWkyfFJE7dfhA03L1WLP7Tn/50evvb315d8Y2hq51XUWJoXpw8xo+yOBGME/sICuLqccwZED+sY86ASJ3rFpPS1TPZj/WIwPjv2267bfWWX//619VcAW1ucS9zXPmPEQBxBTJcY3LMuIIft8bEiUxcmf/zP//ziuk///M/q1EY0cZ6PGDUJ+Z2iCdqxOiausXEfnFlf6zHZcXy6vtz4/6/CIe00QIxsVs8Si5mWo6h5CObfae5T81EP5Tr+/jj3v64StytfepTn0rveMc70gte8IJqDo1o/Ry7Ysb/OH7GcuNWgG4t+hNPBfjXf/3XanLUYWwT1Wa8bf6P//iPaoLGaDE6cOSTSCIYiKehxK0U8SSBGBlVz1fyhS98oXpft/ufHfOeUJ9MfXIfu+w7j9dnMrXptv/E8SRO+mN/iONdt8cF23eG8Wg7nNskABjOuo7aqjjxiWfCd16FGfmi+Hu87rWvfW31LGht+gRiuH8MH6+fvxsnNJNpcTUrfsDG/ZoRGMTjBOurbDGpVj2x3FhXkOORT3XQEK+PKzTaaIG4Whj7Rlxh7hzKf80116z4cRwT93V7kkL8UI59Jq6MxS0DdYv/H1etx7oKGX+rh/3HesZ77FCbaxbDkGOSsrFupRjLxr7T/6dmoh/KcTIYt86MHP3SueZ4zNxb3vKW6jgUI2qi9XPsiuXEca2+raDbVsZxMdYR/Ysh68PYJqrNWNscQXOEjREIRzDzz//8z1PiiQlLP/7xj1cnQWHcOfGsY97UAoDcxy77Tn8BwF/91V9VF2LGuv1ooh3JvjORkL/nFBAA5NSewXUZATBz+DE7f5z8x1DmuOcy7svvNlR2rB7+z//8z4rnzP73f/93+tM//dPqpf1cRZs5jXLXXF8Vi5P8+HEctwQYATCz9YorxjFLeewvsR/F496m0uw7U9Ea/dqJTjKNAOjPt593T1SbbsuOe/0j6IwRFDEnUExeGqOeptLqeVNiOHRc7YxHodbNCIDpCQBiKU0cu4wA6D0AiHmZ4hbAmA8obmWK/Wiqzb4zVTGvb1JAANCkbkHLNgfAzBQjhonFld24Qh/DzuNKfi/34cfQ/fjx1jmktZ/7aGdGo+y1xvD9mOgqWj0k3xwAM1uzeOpChJcx63JMqNhLs+/0oja5H8rmAOjdtt93TjUAiEdpxkS/catTjAD4xje+sdLV+6n0J94fo9ri9px3v/vdK95qDoDpCwBiSdN97DIHwOSOa932hZiHKR55GpOexgikqVzE6VyefWcqRxqvbVJAANCkbkHL9hSA/MWIE/Y4cVm8eHH1z7gXPO7t76XFxDN33XVX9ci/N77xjSsW0etM2r30YdjfE7dn1PWJeTJivgxPAZi5qsctEnHFP2Z1jwAzhpH30uw7vahN7oeypwD0btvvO6cSAMTV+pinJG5Xijlh4vfAyMeXTaU/L33pS6sgIR5zGnMH1c1TAKY3AJjuY5enAEzuuNZtX3jZy15WzRd07LHHVrfK9trsO73Ked90CwgAplu00OXF0KP4wo/hS/HFXU9sVnc3/nv8PV63aNGiFI/d0noX6LzaErOWx33gnfdKTmXJMRw9JvuLe5pHPoouJmmK514fdthh1ZMCRrb472eddVY1C33MRq+NLXDDDTesmPyv85Fm9Rf2KaeckuKK9Mi22267VUNpY0bymJm8bu9973tTvCf+ftlll416X/wtXrPTTjtVT2vQVhaIfSauWMZESzGSZuQjGifjZd+ZjNLYr5noJDOOSZtuumlVnzgO7b///qMWFo+Ri8kbY8KzeNJM3Xo9dsXxLI5rsdwYyj6yRT9i2dGveArHsLaJalNvd4SYMY9MPLIsJpiN+UbCptcWc6HEb4WYCX3k42cd855QnWx9xqpDE8cu+87j2lOtTYzgjMkwo8WxLCak7aXZd3pR856mBAQATckWuNy4AhBXoeNHWPwY62z1o8xiyFk8nixmqtd6E+i82hL33MX9Yuuvv35vC0spHXPMMemkk06qToBiZuvO2sSjaGJEQNQt7pHuDBliSHuMEIh71y644IK0zz779NyHNrwx5meIZ2NvvfXW1YzXdYsnY8RVrjjhiHvS64n74u8xoVZMrBQ/skfO5B8TCsYognjqQPyAqCdsjPfFD4EXvvCF1Xo+9rGPpSOPPLINxFPaxvpHWpxUxkldL82+04va1E5iYiK5mJE/QuMIjztb/RjSuO0p9pW4olm3Xo9d8f0UI0Nin+v2+NPox9e+9rX0zne+M33iE5/oD6Dgd0/mJCYCmnis73nnnVed9EeAHN8J/bT6aTZxHIwRIPWjTGOZjnlT23fGq0MTxy77zuPik9l3OmtTP64xLpzFBbRem32nVznva0JAANCEaqHLjGcnx8Qlce9SJPf1s8ljhu14JFAMMR/rKmehm1Rct+LEbr/99qsmR4oTw7ja0u3Z8Z0d//73v1/NxBz3l0VgULcYkn7aaadVj6iL4dDdnnsd64vHa0UqHVd5FixYUD1abunSpenggw+uTvzj71HjbjPYFwfYYIfipCCGwEYA1vkj+IEHHqiM47FW0SIMq/eN+P8xKiZqGVdk3vWud1X3vcYJTQQrMQFW7FdjXeWvT0bi3sv4TERQE6Nt4r7ZWF+M7IhwIB4hqD0hEI9IjEe5RYgVzyiPR5N2a/adZj81k/mhHMFjhGYxJ0mEZfPmzau+Y+LkML5XlixZ0nWEUj/HrtiHzz777Gq9MfomAoE42Y19M0bpxKiRWG9n6NasVP6lT6Y2cbyK40xcsY8gOkLMiVoc7+JxtTFjeedIwahXPNEhlhnfTd0uJMSyHfMmd5I5U8cu+87UA4CtttqqeoJJt0dfdu5P9p2Jji7+XpKAAKCkamToy4knnljdwxQthgPGiUfcox4nmDFJXTzipPMKZ4YuDdUq4gpyXEmOFl8acYLXrUUoEDNoR4uZ/bfbbrvq3zfaaKMVP1rj6nA8Rz5a3P8cP3i7TTwT9YvnON9///3VKIEYqhZfVnFiGyMPIoSI+z7b3uIEfO+9964Y4qpVXBGLk/EYRhwnL2Ebj8KMtH9ki+HocRIaP3zrGtX1iUmB4t7Azqub9fvjikvcOxgnQxHMxA/wuBIaT3CIk5QYkROzcWsrC9T7UViHYYyi6NbsO9P7yYkwq3NW97iVKUY0xWe3c/6Sm266qXr0X90ieIz7i+N7JPatOO7FcSn2r5j0Ku45jxniR7Zej10RDMW8KtGPGBEVwWmMjooh//H99fnPfz7NnTt3enFmeGlTrU0ck+LYEy1qNV4YEiMD6hZD++MJKNGe+tSnVmFp7H/xCNr4W7QIPC+88MKuz0Fv6zFvqvWZqWOXfSelyR7X4rNe70cR+sdne7y5M+w7M3yQtPopCQgApsQ1HC++9NJL0+mnn57inuf4gRYnqvHj7YgjjnDy32eJzznnnMpyohZXrG699dbqZfGlccYZZ1TDWeNKfpwcxglp/IiO+8/jmbNxJW28Fs9jPv7446sTynh/nDjFLR9xQhszM2uPP3s8bn2JL/QISMIprhpGGBMjY2IocwzZH6vFFZt4Fn2MIoiaxYlOBAoRqNU/mLu9N4KZmDQoAog4QYkf1a95zWuqUQeCme7a9e1KEw3jtu9M754dT1qIidwmanHVP4KvzhbHr7hVKf4ZI5Di7zGSJm6fibBrrNbrsStGicSIgwiL4lgaYXac8MZcHDGvxrC1qdZmsq8PpzgO1i1+E3z84x+v6hgBTQQrYR2jlyLMOeigg9Ib3vCGcWdBb+Mxb7Le9b4zk8cu+073o0O341p9i9PrX//6ah6N8Zp9Z9iOusO9PQKA4a6vrSNAgAABAgQIECBAgAABApWAAMAHgQABAgQIECBAgAABAgQItEBAANCCIttEAgQIECBAgAABAgQIECAgAPAZIECAAAECBAgQIECAAAECLRAQALSgyDaRAAECBAgQIECAAAECBAgIAHwGCBAgQIAAAQIECBAgQIBACwQEAC0osk0kQIAAAQIECBAgQIAAAQICAJ8BAgQIECBAgAABAgQIECDQAgEBQAuKbBMJECBAgAABAgQIECBAgIAAwGeAAAECBAgQIECAAAECBAi0QEAA0IIi20QCBAgQIECAAAECBAgQICAA8BkgQIAAAQIECBAgQIAAAQItEBAAtKDINpEAAQIECBAgQIAAAQIECAgAfAYIECBAgAABAgQIECBAgEALBAQALSiyTSRAgAABAgQIECBAgAABAgIAnwECBAgQIECAAAECBAgQINACAQFAC4psEwkQIECAAAECBAgQIECAgADAZ4AAAQIECBAgQIAAAQIECLRAQADQgiLbRAIECBAgQIAAAQIECBAgIADwGSBAgAABAgQIECBAgAABAi0QEAC0oMg2kQABAgQIECBAgAABAgQICAB8BggQIECAAAECBAgQIECAQAsEBAAtKLJNJECAAAECBAgQIECAAAECAgCfAQIECBAgQIAAAQIECBAg0AIBAUALimwTCRAgQIAAAQIECBAgQICAAMBngAABAgQIECBAgAABAgQItEBAANCCIttEAgQIECBAgAABAgQIECAgAPAZIECAAAECBAgQIECAAAECLRAQALSgyDaRAAECBAgQIECAAAECBAgIAHwGCBAgQIAAAQIECBAgQIBACwQEAC0osk0kQIAAAQIECBAgQIAAAQICAJ8BAgQIECBAgAABAgQIECDQAgEBQAuKbBMJECBAgAABAgQIECBAgIAAwGeAAAECBAgQIECAAAECBAi0QEAA0IIi20QCBAgQIECAAAECBAgQICAA8BkgQIAAAQIECBAgQIAAAQItEBAAtKDINpEAAQIECBAgQIAAAQIECAgAfAYIECBAgAABAgQIECBAgEALBAQALSiyTSRAgAABAgQIECBAgAABAgIAnwECBAgQIECAAAECBAgQINACAQFAC4psEwkQIECAAAECBAgQIECAgADAZ4AAAQIECBAgQIAAAQIECLRAQADQgiLbRAIECBAgQIAAAQIECBAgIADwGSBAgAABAgQIECBAgAABAi0QEAC0oMg2kQABAgQIECBAgAABAgQICAB8BggQIECAAAECBAgQIECAQAsEBAAtKLJNJECAAAECBAgQIECAAAECAgCfAQIECBAgQIAAAQIECBAg0AIBAUALimwTCRAgQIAAAQIECBAgQICAAMBngAABAgQIECBAgAABAgQItEBAANCCIttEAgQIECBAgAABAgQIECAgAPAZIECAAAECBAgQIECAAAECLRAQALSgyDaRAAECBAgQIECAAAECBAgIAHwGCBAgQIAAAQIECBAgQIBACwQEAC0osk0kQIAAAQIECBAgQIAAAQICAJ8BAgQIECBAgAABAgQIECDQAgEBQAuKbBMJECBAgAABAgQIECBAgIAAwGeAAAECBAgQIECAAAECBAi0QEAA0IIi20QCBAgQIECAAAECBAgQICAA8BkgQIAAAQIECBAgQIAAAQItEBAAtKDINpEAAQIECBAgQIAAAQIECAgAfAYIECBAgAABAgQIECBAgEALBAQALSiyTSRAgAABAgQIECBAgAABAgIAnwECBAgQIECAAAECBAgQINACAQFAC4psEwkQIECAAAECBAgQIECAgADAZ4AAAQIECBAgQIAAAQIECLRAQADQgiLbRAIECBAgQIAAAQIECBAgIADwGSBAgAABAgQIECBAgAABAi0QEAC0oMg2kQABAgQIECBAgAABAgQICAB8BggQIECAAAECBAgQIECAQAsEBAAtKLJNJECAAAECBAgQIECAAAECAgCfAQIECBAgQIAAAQIECBAg0AIBAUALimwTCRAgQIAAAQIECBAgQICAAMBngAABAgQIECBAgAABAgQItEBAANCCIttEAgQIECBAgAABAgQIECAgAPAZIECAAAECBAgQIECAAAECLRAQALSgyDaRAAECBAgQIECAAAECBAgIAHwGCBAgQIAAAQIECBAgQIBACwQEAC0osk0kQIAAAQIECBAgQIAAAQICAJ8BAgQIECBAgAABAgQIECDQAgEBQAuKbBMJECBAgAABAgQIECBAgIAAwGeAAAECBAgQIECAAAECBAi0QOD/ACaoBAx9zCmIAAAAAElFTkSuQmCC\" width=\"639.999990463257\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<sigpy.plot.image.Image at 0x7f210ddab470>"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pl.Image(im_mask)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "def train_net(net,\n",
    "              epochs=5,\n",
    "              batch_size=1,\n",
    "              lr=0.1,\n",
    "              val_percent=0.05,\n",
    "              save_cp=True,\n",
    "              gpu=False,\n",
    "              img_scale=0.5):\n",
    "\n",
    "    dir_img = '/mikQNAP/segmentation_cars/train_hq/'\n",
    "    dir_mask = '/mikQNAP/segmentation_cars/train_masks/'\n",
    "    dir_checkpoint = 'checkpoints_uecker/'\n",
    "\n",
    "    ids = get_ids(dir_img)\n",
    "    ids = split_ids(ids)\n",
    "\n",
    "    iddataset = split_train_val(ids, val_percent)\n",
    "\n",
    "    print('''\n",
    "    Starting training:\n",
    "        Epochs: {}\n",
    "        Batch size: {}\n",
    "        Learning rate: {}\n",
    "        Training size: {}\n",
    "        Validation size: {}\n",
    "        Checkpoints: {}\n",
    "        CUDA: {}\n",
    "    '''.format(epochs, batch_size, lr, len(iddataset['train']),\n",
    "               len(iddataset['val']), str(save_cp), str(gpu)))\n",
    "\n",
    "    N_train = len(iddataset['train'])\n",
    "\n",
    "    optimizer = optim.SGD(net.parameters(),\n",
    "                          lr=lr,\n",
    "                          momentum=0.9,\n",
    "                          weight_decay=0.0005)\n",
    "\n",
    "    criterion = nn.BCELoss()\n",
    "\n",
    "    for epoch in range(epochs):\n",
    "        print('Starting epoch {}/{}.'.format(epoch + 1, epochs))\n",
    "        net.train()\n",
    "\n",
    "        # reset the generators\n",
    "        train = get_imgs_and_masks(iddataset['train'], dir_img, dir_mask, img_scale)\n",
    "        val = get_imgs_and_masks(iddataset['val'], dir_img, dir_mask, img_scale)\n",
    "\n",
    "        epoch_loss = 0\n",
    "\n",
    "        for i, b in enumerate(batch(train, batch_size)):\n",
    "            imgs = np.array([i[0] for i in b]).astype(np.float32)\n",
    "            true_masks = np.array([i[1] for i in b])\n",
    "\n",
    "            imgs = torch.from_numpy(imgs)\n",
    "            true_masks = torch.from_numpy(true_masks)\n",
    "\n",
    "            if gpu:\n",
    "                imgs = imgs.cuda()\n",
    "                true_masks = true_masks.cuda()\n",
    "\n",
    "            masks_pred = net(imgs)\n",
    "            masks_probs_flat = masks_pred.view(-1)\n",
    "\n",
    "            true_masks_flat = true_masks.view(-1)\n",
    "\n",
    "            loss = criterion(masks_probs_flat, true_masks_flat)\n",
    "            epoch_loss += loss.item()\n",
    "\n",
    "            print('{0:.4f} --- loss: {1:.6f}'.format(i * batch_size / N_train, loss.item()))\n",
    "\n",
    "            optimizer.zero_grad()\n",
    "            loss.backward()\n",
    "            optimizer.step()\n",
    "\n",
    "        print('Epoch finished ! Loss: {}'.format(epoch_loss / i))\n",
    "\n",
    "        if 1:\n",
    "            val_dice = eval_net(net, val, gpu)\n",
    "            print('Validation Dice Coeff: {}'.format(val_dice))\n",
    "\n",
    "        if save_cp:\n",
    "            torch.save(net.state_dict(),\n",
    "                       dir_checkpoint + 'CP{}.pth'.format(epoch + 1))\n",
    "            print('Checkpoint {} saved !'.format(epoch + 1))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "    Starting training:\n",
      "        Epochs: 50\n",
      "        Batch size: 1\n",
      "        Learning rate: 0.001\n",
      "        Training size: 9668\n",
      "        Validation size: 508\n",
      "        Checkpoints: True\n",
      "        CUDA: True\n",
      "    \n",
      "Starting epoch 1/50.\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/kewang/anaconda3/lib/python3.6/site-packages/torch/nn/modules/upsampling.py:122: UserWarning: nn.Upsampling is deprecated. Use nn.functional.interpolate instead.\n",
      "  warnings.warn(\"nn.Upsampling is deprecated. Use nn.functional.interpolate instead.\")\n",
      "/home/kewang/anaconda3/lib/python3.6/site-packages/torch/nn/functional.py:1006: UserWarning: nn.functional.sigmoid is deprecated. Use torch.sigmoid instead.\n",
      "  warnings.warn(\"nn.functional.sigmoid is deprecated. Use torch.sigmoid instead.\")\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.0000 --- loss: 0.732714\n",
      "0.0001 --- loss: 0.744347\n",
      "0.0002 --- loss: 0.720307\n",
      "0.0003 --- loss: 0.702192\n",
      "0.0004 --- loss: 0.692935\n",
      "0.0005 --- loss: 0.677132\n",
      "0.0006 --- loss: 0.656669\n",
      "0.0007 --- loss: 0.661045\n",
      "0.0008 --- loss: 0.636987\n",
      "0.0009 --- loss: 0.627022\n",
      "0.0010 --- loss: 0.647820\n",
      "0.0011 --- loss: 0.593558\n",
      "0.0012 --- loss: 0.617071\n",
      "0.0013 --- loss: 0.583454\n",
      "0.0014 --- loss: 0.613481\n",
      "0.0016 --- loss: 0.584441\n",
      "0.0017 --- loss: 0.620419\n",
      "0.0018 --- loss: 0.574091\n",
      "0.0019 --- loss: 0.544161\n",
      "0.0020 --- loss: 0.570744\n",
      "0.0021 --- loss: 0.600769\n",
      "0.0022 --- loss: 0.523255\n",
      "0.0023 --- loss: 0.619283\n",
      "0.0024 --- loss: 0.566861\n",
      "0.0025 --- loss: 0.588150\n",
      "0.0026 --- loss: 0.519675\n",
      "0.0027 --- loss: 0.576031\n",
      "0.0028 --- loss: 0.537062\n",
      "0.0029 --- loss: 0.596269\n",
      "0.0030 --- loss: 0.500988\n",
      "0.0031 --- loss: 0.481560\n",
      "0.0032 --- loss: 0.492064\n",
      "0.0033 --- loss: 0.568280\n",
      "0.0034 --- loss: 0.538894\n",
      "0.0035 --- loss: 0.565941\n",
      "0.0036 --- loss: 0.533220\n",
      "0.0037 --- loss: 0.554649\n",
      "0.0038 --- loss: 0.543894\n",
      "0.0039 --- loss: 0.459530\n",
      "0.0040 --- loss: 0.521762\n",
      "0.0041 --- loss: 0.472402\n",
      "0.0042 --- loss: 0.472319\n",
      "0.0043 --- loss: 0.485486\n",
      "0.0044 --- loss: 0.474861\n",
      "0.0046 --- loss: 0.496439\n",
      "0.0047 --- loss: 0.436133\n",
      "0.0048 --- loss: 0.488549\n",
      "0.0049 --- loss: 0.503330\n",
      "0.0050 --- loss: 0.428243\n",
      "0.0051 --- loss: 0.458230\n"
     ]
    }
   ],
   "source": [
    "#     args = get_args()\n",
    "\n",
    "net = UNet(n_channels=3, n_classes=1)\n",
    "net.cuda()\n",
    "\n",
    "try:\n",
    "    train_net(net=net,\n",
    "              epochs=50,\n",
    "              batch_size=1,\n",
    "              lr=0.001,\n",
    "              gpu=True,\n",
    "              img_scale=1)\n",
    "except KeyboardInterrupt:\n",
    "    torch.save(net.state_dict(), 'INTERRUPTED.pth')\n",
    "    print('Saved interrupt')\n",
    "    try:\n",
    "        sys.exit(0)\n",
    "    except SystemExit:\n",
    "        os._exit(0)\n"
   ]
  }
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