{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Calibration of a 2 theta arm with a Pilatus 100k detector\n",
    "\n",
    "The aim of this document is to explain how to use pyFAI.goniometer for calibrating the position of the detector from the goniometer encoders.\n",
    "\n",
    "Those data have been acquired at ROBL (ESRF-BM20 German CRG) in winter 2017 by Christoph Henning using a Pilatus 100k detector and LaB6 as calibrant. One hundred and twenty one images have been acquired with the detector moving between 5 and 65 degree with a step size of half a degree. The motor position is registered in the filename.\n",
    "\n",
    "A prior manual calibration (using pyFAI-calib) has been performed on four images locate at 31.5, 33.5, 35 and 35.5 degrees. Those images were the first with two rings. The control points extrated during this initial calibration has been used as a starting point for this calibration. Then more images have been added to make the model more robust.\n",
    "\n",
    "The raw data files are available at: http://www.silx.org/pub/pyFAI/gonio/Pilatus-100k-LaB6/\n",
    "\n",
    "## Initialization and loading of the libraries\n",
    "\n",
    "Initialization of the plotting library, matplotlib, to be used with the jupyter notebook"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Populating the interactive namespace from numpy and matplotlib\n",
      "Using pyFAI version 0.18.0\n"
     ]
    }
   ],
   "source": [
    "%pylab nbagg\n",
    "\n",
    "import time, pyFAI\n",
    "start_time = time.time()\n",
    "print(\"Using pyFAI version\", pyFAI.version)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['LaB6_gonio_BM20', 'del_45.0_0001p.cbf', 'del_08.5_0001p.cbf', 'del_20.5_0001p.cbf', 'minimum-mask.edf', 'del_09.0_0001p.cbf', 'del_53.0_0001p.cbf', 'del_60.0_0001p.cbf', 'del_63.5_0001p.cbf', 'del_56.5_0001p.cbf', 'del_12.5_0001p.cbf', 'del_53.5_0001p.cbf', 'del_42.5_0001p.cbf', 'del_16.5_0001p.cbf', 'del_05.5_0001p.cbf', 'del_47.0_0001p.cbf', 'del_39.0_0001p.cbf', 'del_47.5_0001p.cbf', 'del_57.0_0001p.cbf', 'del_35.5_0001p.poni', 'del_07.5_0001p.cbf', 'del_41.5_0001p.cbf', 'del_51.0_0001p.cbf', 'del_33.0_0001p.cbf', 'del_22.0_0001p.cbf', 'del_43.5_0001p.cbf', 'del_64.5_0001p.cbf', 'del_35.0_0001p.cbf', 'del_13.5_0001p.cbf', 'del_08.0_0001p.cbf', 'del_29.0_0001p.cbf', 'del_45.5_0001p.cbf', 'del_63.0_0001p.cbf', 'del_61.5_0001p.cbf', 'del_31.5_0001p.npt', 'del_11.0_0001p.cbf', 'del_46.5_0001p.cbf', 'del_11.5_0001p.cbf', 'del_56.0_0001p.cbf', 'del_18.0_0001p.cbf', 'del_06.5_0001p.cbf', 'del_46.0_0001p.cbf', 'del_58.5_0001p.cbf', 'del_35.5_0001p.npt', 'del_30.0_0001p.cbf', 'del_15.5_0001p.cbf', 'del_36.5_0001p.cbf', 'del_13.0_0001p.cbf', 'del_55.0_0001p.cbf', 'del_27.5_0001p.cbf', 'del_31.5_0001p.cbf', 'del_24.0_0001p.cbf', 'del_38.0_0001p.cbf', 'del_48.5_0001p.cbf', 'del_16.0_0001p.cbf', 'del_52.5_0001p.cbf', 'del_38.5_0001p.cbf', 'del_54.5_0001p.cbf', 'del_48.0_0001p.cbf', 'del_31.0_0001p.cbf', 'del_28.5_0001p.cbf', 'del_21.5_0001p.cbf', 'del_06.0_0001p.cbf', 'del_25.5_0001p.cbf', 'del_40.5_0001p.cbf', 'del_44.5_0001p.cbf', 'del_39.5_0001p.cbf', 'del_35.5_0001p.cbf', 'del_62.0_0001p.cbf', 'del_36.0_0001p.cbf', 'del_57.5_0001p.cbf', 'del_28.0_0001p.cbf', 'del_17.5_0001p.cbf', 'del_24.5_0001p.cbf', 'del_35.0_0001p.poni', 'del_50.5_0001p.cbf', 'del_18.5_0001p.cbf', 'del_27.0_0001p.cbf', 'del_19.5_0001p.cbf', 'del_21.0_0001p.cbf', 'del_17.0_0001p.cbf', 'del_50.0_0001p.cbf', 'del_44.0_0001p.cbf', 'del_30.5_0001p.cbf', 'del_51.5_0001p.cbf', 'del_62.5_0001p.cbf', 'del_05.0_0001p.cbf', 'del_26.5_0001p.cbf', 'del_31.5_0001p.poni', 'del_23.5_0001p.cbf', 'del_33.5_0001p.poni', 'del_37.5_0001p.cbf', 'del_19.0_0001p.cbf', 'del_29.5_0001p.cbf', 'del_10.0_0001p.cbf', 'del_40.0_0001p.cbf', 'del_58.0_0001p.cbf', 'del_49.5_0001p.cbf', 'del_09.5_0001p.cbf', 'del_15.0_0001p.cbf', 'del_43.0_0001p.cbf', 'del_60.5_0001p.cbf', 'del_34.0_0001p.cbf', 'del_20.0_0001p.cbf', 'deviation-mask.edf', 'del_41.0_0001p.cbf', 'del_07.0_0001p.cbf', 'del_54.0_0001p.cbf', 'del_33.5_0001p.npt', 'del_33.5_0001p.cbf', 'del_32.0_0001p.cbf', 'del_59.5_0001p.cbf', 'del_14.0_0001p.cbf', 'del_32.5_0001p.cbf', 'del_59.0_0001p.cbf', 'del_65.0_0001p.cbf', 'del_25.0_0001p.cbf', 'del_61.0_0001p.cbf', 'del_34.5_0001p.cbf', 'del_52.0_0001p.cbf', 'del_22.5_0001p.cbf', 'del_10.5_0001p.cbf', 'del_42.0_0001p.cbf', 'del_64.0_0001p.cbf', 'del_14.5_0001p.cbf', 'del_26.0_0001p.cbf', 'del_49.0_0001p.cbf', 'del_35.0_0001p.npt', 'del_55.5_0001p.cbf', 'del_23.0_0001p.cbf', 'del_12.0_0001p.cbf', 'del_37.0_0001p.cbf']\n"
     ]
    }
   ],
   "source": [
    "#Download all images\n",
    "\n",
    "import os\n",
    "from silx.resources import ExternalResources\n",
    "\n",
    "#Nota: This may be useful if you are behind a firewall\n",
    "#os.environ[\"http_proxy\"] = \"http://proxy.esrf.fr:3128\"\n",
    "\n",
    "downloader = ExternalResources(\"pyFAI\", \"http://www.silx.org/pub/pyFAI/testimages\", \"PYFAI_DATA\")\n",
    "all_files = downloader.getdir(\"LaB6_gonio_BM20.tar.bz2\")\n",
    "print([os.path.basename(i) for i in all_files])\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Loading of a few libraries\n",
    "\n",
    "import os\n",
    "import random\n",
    "import fabio\n",
    "import pyFAI\n",
    "from pyFAI.goniometer import GeometryTransformation, GoniometerRefinement, Goniometer\n",
    "from pyFAI.gui import jupyter"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Display of an image and its headers"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "List of images: /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_05.0_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_05.5_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_06.0_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_06.5_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_07.0_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_07.5_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_08.0_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_08.5_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_09.0_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_09.5_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_10.0_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_10.5_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_11.0_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_11.5_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_12.0_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_12.5_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_13.0_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_13.5_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_14.0_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_14.5_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_15.0_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_15.5_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_16.0_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_16.5_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_17.0_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_17.5_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_18.0_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_18.5_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_19.0_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_19.5_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_20.0_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_20.5_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_21.0_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_21.5_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_22.0_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_22.5_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_23.0_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_23.5_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_24.0_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_24.5_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_25.0_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_25.5_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_26.0_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_26.5_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_27.0_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_27.5_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_28.0_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_28.5_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_29.0_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_29.5_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_30.0_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_30.5_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_31.0_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_31.5_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_32.0_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_32.5_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_33.0_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_33.5_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_34.0_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_34.5_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_35.0_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_35.5_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_36.0_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_36.5_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_37.0_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_37.5_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_38.0_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_38.5_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_39.0_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_39.5_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_40.0_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_40.5_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_41.0_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_41.5_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_42.0_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_42.5_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_43.0_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_43.5_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_44.0_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_44.5_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_45.0_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_45.5_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_46.0_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_46.5_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_47.0_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_47.5_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_48.0_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_48.5_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_49.0_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_49.5_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_50.0_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_50.5_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_51.0_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_51.5_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_52.0_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_52.5_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_53.0_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_53.5_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_54.0_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_54.5_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_55.0_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_55.5_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_56.0_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_56.5_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_57.0_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_57.5_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_58.0_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_58.5_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_59.0_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_59.5_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_60.0_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_60.5_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_61.0_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_61.5_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_62.0_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_62.5_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_63.0_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_63.5_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_64.0_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_64.5_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_65.0_0001p.cbf.\n",
      "\n",
      "Image headers:\n",
      "_array_data.header_convention: PILATUS_1.2\n",
      "_array_data.header_contents: # Detector: PILATUS 2M, 24-0111\r\n",
      "# 2016-05-17T18:12:57.232113\r\n",
      "# Pixel_size 172e-6 m x 172e-6 m\r\n",
      "# Silicon sensor, thickness 0.000450 m\r\n",
      "# Exposure_time 9.9977 s\r\n",
      "# Exposure_period 9.9977 s\r\n",
      "# Tau = 1.991e-07 s\r\n",
      "# Count_cutoff 1071182 counts\r\n",
      "# Threshold_setting: 4024.0 eV\r\n",
      "# Gain_setting: low gain (vrf = -0.300)\r\n",
      "# N_excluded_pixels = 1\r\n",
      "# Excluded_pixels: badpix_mask.tif\r\n",
      "# Flat_field: FF_p2m0111_E26000_T13000_vrf_m0p30.tif\r\n",
      "# Trim_file: p2m0111_E26000_T13000_vrf_m0p30.bin\r\n",
      "# Image_path: /ramdisk/\r\n",
      "# Wavelength 0.7749 A\r\n",
      "# Start_angle 0.00 deg.\r\n",
      "# Angle_increment 0.00 deg.\r\n",
      "# Omega 0.00 deg.\r\n",
      "# Omega_increment 0.00 deg.\r\n",
      "# Phi 0.00 deg.\r\n",
      "# Phi_increment 0.00 deg.\r\n",
      "# Kappa 0.0 deg.\r\n",
      "# Oscillation_axis PHI\r\n",
      "# Detector_distance 0.157 m\r\n",
      "# Detector_Voffset 0.0 m\r\n",
      "# Beam_xy (542.41, 732.4) pixels\r\n",
      "# Flux 0 counts\r\n",
      "# Temperature 0.00 K\r\n",
      "# Blower 0.0 C\r\n",
      "# Lakeshore 0.00 K\n",
      "Content-Type: application/octet-stream;\n",
      "conversions: x-CBF_BYTE_OFFSET\n",
      "Content-Transfer-Encoding: BINARY\n",
      "X-Binary-Size: 95035\n",
      "X-Binary-ID: 1\n",
      "X-Binary-Element-Type: signed 32-bit integer\n",
      "X-Binary-Element-Byte-Order: LITTLE_ENDIAN\n",
      "Content-MD5: darooj/7FEQRNdNzNDo0XQ==\n",
      "X-Binary-Number-of-Elements: 94965\n",
      "X-Binary-Size-Fastest-Dimension: 487\n",
      "X-Binary-Size-Second-Dimension: 195\n",
      "X-Binary-Size-Padding: 4095\n"
     ]
    },
    {
     "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\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\"];\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>"
      ]
     },
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     "output_type": "display_data"
    },
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width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7febaa18cba8>"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#loading of the list of files, and display of the last one with its headers\n",
    "\n",
    "image_files = [i for i in all_files if i.endswith(\".cbf\")]\n",
    "image_files.sort()\n",
    "print(\"List of images: \" + \", \".join(image_files) + \".\" + os.linesep)\n",
    "fimg = fabio.open(image_files[-1])\n",
    "\n",
    "print(\"Image headers:\")\n",
    "for key, value in  fimg.header.items():\n",
    "    print(\"%s: %s\"%(key,value))\n",
    "    \n",
    "jupyter.display(fimg.data, label=os.path.basename(fimg.filename))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Definition of the geometry transformation\n",
    "\n",
    "This is the most difficult part to understand.\n",
    "\n",
    "The next cell defines 2 functions, one for transforming the geometry and the other one to read the goniometer angle from the metadata"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "filename del_65.0_0001p.cbf angle: 65.0\n"
     ]
    }
   ],
   "source": [
    "#Definition of the goniometer translation function:\n",
    "# The detector rotates vertically, around the horizontal axis, i.e. rot2\n",
    "\n",
    "goniotrans = GeometryTransformation(param_names = [\"dist\", \"poni1\", \"poni2\", \"rot1\",\n",
    "                                                   \"rot2_offset\", \"rot2_scale\"],\n",
    "                                    dist_expr=\"dist\", \n",
    "                                    poni1_expr=\"poni1\",\n",
    "                                    poni2_expr=\"poni2\", \n",
    "                                    rot1_expr=\"rot1\", \n",
    "                                    rot2_expr=\"rot2_scale * pos + rot2_offset\", \n",
    "                                    rot3_expr=\"0.0\")\n",
    "\n",
    "\n",
    "#Definition of the function reading the goniometer angle from the filename of the image.\n",
    "\n",
    "def get_angle(basename):\n",
    "    \"\"\"Takes the basename (like del_65.0_0001p ) and returns the angle of the detector\"\"\"\n",
    "    return float(os.path.basename((basename.split(\"_\")[1])))\n",
    "\n",
    "basename = os.path.basename(fimg.filename)\n",
    "print('filename', basename, \"angle:\",get_angle(basename))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Definition of the detector, its mask, the calibrant\n",
    "mask_files = [i for i in all_files if i.endswith(\"-mask.edf\")]\n",
    "mask = numpy.logical_or(fabio.open(mask_files[0]).data, fabio.open(mask_files[1]).data)\n",
    "pilatus = pyFAI.detector_factory(\"Pilatus100k\")\n",
    "pilatus.mask = mask\n",
    "    \n",
    "LaB6 = pyFAI.calibrant.CALIBRANT_FACTORY(\"LaB6\")\n",
    "wavelength = 7.7490120575e-11\n",
    "LaB6.wavelength = wavelength"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Empty refinement object:\n",
      "GoniometerRefinement with 0 geometries labeled: .\n"
     ]
    }
   ],
   "source": [
    "#Definition of the geometry refinement: the parameter order is the same as the param_names\n",
    "\n",
    "param = {\"dist\":0.8, \n",
    "         \"poni1\":0.02, \n",
    "         \"poni2\":0.04, \n",
    "         \"rot1\":0,\n",
    "         \"rot2_offset\":0,\n",
    "         \"rot2_scale\": numpy.pi/180. # rot2 is in radians, while the motor position is in degrees\n",
    "        }\n",
    "#Defines the bounds for some variables\n",
    "bounds = {\"dist\": (0.79, 0.81), \n",
    "          \"rot1\": (-0.01, 0.01),\n",
    "          \"rot2_offset\": (-0.01, 0.01),\n",
    "          \"rot2_scale\": (numpy.pi/180., numpy.pi/180.) #strict bounds on the scale: we expect the gonio to be precise\n",
    "         }\n",
    "gonioref = GoniometerRefinement(param, #initial guess\n",
    "                                bounds=bounds,\n",
    "                                pos_function=get_angle,\n",
    "                                trans_function=goniotrans,\n",
    "                                detector=pilatus, wavelength=wavelength)\n",
    "print(\"Empty refinement object:\")\n",
    "print(gonioref)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "del_31.5_0001p Angle: 31.5\n",
      "Detector Pilatus 100k\t PixelSize= 1.720e-04, 1.720e-04 m\n",
      "Wavelength= 7.749012e-11m\n",
      "SampleDetDist= 8.058209e-01m\tPONI= 5.700310e-03, 4.599931e-02m\trot1=-0.000000  rot2= 0.560707  rot3= -0.000065 rad\n",
      "DirectBeamDist= 951.518mm\tCenter: x=267.438, y=2975.017 pix\tTilt=32.126 deg  tiltPlanRotation= 90.000 deg\n",
      "\n",
      "del_33.5_0001p Angle: 33.5\n",
      "Detector Pilatus 100k\t PixelSize= 1.720e-04, 1.720e-04 m\n",
      "Wavelength= 7.749012e-11m\n",
      "SampleDetDist= 8.061475e-01m\tPONI= 1.998418e-02, 4.623309e-02m\trot1=0.000061  rot2= 0.577898  rot3= -0.000000 rad\n",
      "DirectBeamDist= 962.435mm\tCenter: x=268.511, y=3172.837 pix\tTilt=33.111 deg  tiltPlanRotation= 90.005 deg\n",
      "\n",
      "del_35.0_0001p Angle: 35.0\n",
      "Detector Pilatus 100k\t PixelSize= 1.720e-04, 1.720e-04 m\n",
      "Wavelength= 7.749012e-11m\n",
      "SampleDetDist= 8.053432e-01m\tPONI= 5.551240e-03, 4.624546e-02m\trot1=-0.000016  rot2= 0.622009  rot3= 0.000012 rad\n",
      "DirectBeamDist= 990.936mm\tCenter: x=268.944, y=3389.181 pix\tTilt=35.638 deg  tiltPlanRotation= 89.999 deg\n",
      "\n",
      "del_35.5_0001p Angle: 35.5\n",
      "Detector Pilatus 100k\t PixelSize= 1.720e-04, 1.720e-04 m\n",
      "Wavelength= 7.749012e-11m\n",
      "SampleDetDist= 8.061272e-01m\tPONI= 5.998339e-03, 3.450065e-02m\trot1=-0.014779  rot2= 0.630136  rot3= 0.000007 rad\n",
      "DirectBeamDist= 997.856mm\tCenter: x=269.857, y=3453.432 pix\tTilt=36.113 deg  tiltPlanRotation= 88.839 deg\n",
      "\n",
      "Filled refinement object:\n",
      "GoniometerRefinement with 4 geometries labeled: del_31.5_0001p, del_33.5_0001p, del_35.0_0001p, del_35.5_0001p.\n"
     ]
    }
   ],
   "source": [
    "#Let's populate the goniometer refinement object with all control point files:\n",
    "\n",
    "ponis = [i for i in all_files if i.endswith(\".poni\")]\n",
    "ponis.sort()\n",
    "for fn in ponis:\n",
    "    base = os.path.splitext(fn)[0]\n",
    "    basename = os.path.basename(base)\n",
    "    fimg = fabio.open(base + \".cbf\")\n",
    "    sg =gonioref.new_geometry(basename, image=fimg.data, metadata=basename, control_points=base+\".npt\",\n",
    "                              geometry=fn, calibrant=LaB6)\n",
    "    print(sg.label, \"Angle:\", sg.get_position())\n",
    "    print(sg.geometry_refinement)\n",
    "    print()\n",
    "    \n",
    "\n",
    "print(\"Filled refinement object:\")\n",
    "print(gonioref)\n"
   ]
  },
  {
   "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\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\"];\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>"
      ]
     },
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     "output_type": "display_data"
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\" width=\"800\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING:matplotlib.legend:No handles with labels found to put in legend.\n",
      "WARNING:matplotlib.legend:No handles with labels found to put in legend.\n",
      "WARNING:matplotlib.legend:No handles with labels found to put in legend.\n"
     ]
    }
   ],
   "source": [
    "#Display all images with associated calibration:\n",
    "nimg = len(gonioref.single_geometries)\n",
    "fig,ax = subplots(nimg, 1, figsize=(8,nimg*3))\n",
    "for i, sg in enumerate(gonioref.single_geometries.values()):\n",
    "    jupyter.display(sg=sg, ax=ax[i])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Cost function before refinement: 4.676280279481871e-05\n",
      "[0.8        0.02       0.04       0.         0.         0.01745329]\n",
      "     fun: 3.4745458906298305e-09\n",
      "     jac: array([ 1.55798347e-08,  6.20440474e-08, -8.86844706e-09,  9.38192904e-09,\n",
      "        4.54171479e-08,  5.30001824e-06])\n",
      " message: 'Optimization terminated successfully.'\n",
      "    nfev: 145\n",
      "     nit: 18\n",
      "    njev: 18\n",
      "  status: 0\n",
      " success: True\n",
      "       x: array([ 0.80587963,  0.01626972,  0.04374852, -0.00299843, -0.00217847,\n",
      "        0.01745329])\n",
      "Cost function after refinement: 3.4745458906298305e-09\n",
      "GonioParam(dist=0.8058796325498109, poni1=0.016269720089887214, poni2=0.04374852459791066, rot1=-0.00299843026796996, rot2_offset=-0.002178469918866194, rot2_scale=0.017453292519943295)\n",
      "maxdelta on: dist (0) 0.8 --> 0.8058796325498109\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "array([ 0.80587963,  0.01626972,  0.04374852, -0.00299843, -0.00217847,\n",
       "        0.01745329])"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Initial refinement of the goniometer model with 5 dof\n",
    "gonioref.refine2()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "# This function adds new images to the pool of data used for the refinement.\n",
    "# A set of new control points are extractred and a refinement step is performed at each iteration\n",
    "# The last image of the serie is displayed \n",
    "\n",
    "def optimize_with_new_images(list_images, pts_per_deg=1):\n",
    "    sg = None\n",
    "    for fname in list_images:\n",
    "        print()\n",
    "        basename = os.path.basename(fname)\n",
    "        base = os.path.splitext(basename)[0]\n",
    "        fimg = fabio.open(fname)\n",
    "        if base in gonioref.single_geometries:\n",
    "            continue\n",
    "        print(base)\n",
    "        sg = gonioref.new_geometry(base, image=fimg.data, metadata=base,\n",
    "                                   calibrant=LaB6)\n",
    "        print(sg.extract_cp(pts_per_deg=pts_per_deg))\n",
    "    print(\"*\"*50)\n",
    "    gonioref.refine2()\n",
    "    if sg: \n",
    "        sg.geometry_refinement.set_param(gonioref.get_ai(sg.get_position()).param)\n",
    "        jupyter.display(sg=sg)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "\n",
      "del_32.5_0001p\n",
      "ControlPoints instance containing 1 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 1 groups of points:\n",
      "# c ring 7: 36 points\n",
      "\n",
      "del_30.5_0001p\n",
      "ControlPoints instance containing 1 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 1 groups of points:\n",
      "# d ring 6: 36 points\n",
      "\n",
      "\n",
      "del_39.0_0001p\n",
      "ControlPoints instance containing 2 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 2 groups of points:\n",
      "# e ring 10: 15 points\n",
      "# f ring 11: 30 points\n",
      "\n",
      "del_36.0_0001p\n",
      "ControlPoints instance containing 1 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 1 groups of points:\n",
      "# g ring 9: 36 points\n",
      "\n",
      "del_34.0_0001p\n",
      "ControlPoints instance containing 1 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 1 groups of points:\n",
      "# h ring 8: 36 points\n",
      "\n",
      "\n",
      "del_34.5_0001p\n",
      "ControlPoints instance containing 1 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 1 groups of points:\n",
      "# i ring 8: 36 points\n",
      "\n",
      "del_33.0_0001p\n",
      "ControlPoints instance containing 1 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 1 groups of points:\n",
      "# j ring 7: 36 points\n",
      "\n",
      "del_31.0_0001p\n",
      "ControlPoints instance containing 1 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 1 groups of points:\n",
      "# k ring 6: 36 points\n",
      "\n",
      "del_36.5_0001p\n",
      "ControlPoints instance containing 1 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 1 groups of points:\n",
      "# l ring 9: 36 points\n",
      "\n",
      "\n",
      "del_32.0_0001p\n",
      "ControlPoints instance containing 1 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 1 groups of points:\n",
      "# m ring 7: 36 points\n",
      "\n",
      "del_38.0_0001p\n",
      "ControlPoints instance containing 1 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 1 groups of points:\n",
      "# n ring 10: 30 points\n",
      "\n",
      "del_37.0_0001p\n",
      "ControlPoints instance containing 2 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 2 groups of points:\n",
      "# o ring 9: 36 points\n",
      "# p ring 10: 30 points\n",
      "\n",
      "del_38.5_0001p\n",
      "ControlPoints instance containing 2 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 2 groups of points:\n",
      "# q ring 10: 30 points\n",
      "# r ring 11: 30 points\n",
      "\n",
      "del_30.0_0001p\n",
      "ControlPoints instance containing 1 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 1 groups of points:\n",
      "# s ring 6: 36 points\n",
      "\n",
      "del_37.5_0001p\n",
      "ControlPoints instance containing 1 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 1 groups of points:\n",
      "# t ring 10: 30 points\n",
      "\n",
      "del_39.5_0001p\n",
      "ControlPoints instance containing 1 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 1 groups of points:\n",
      "# u ring 11: 30 points\n",
      "**************************************************\n",
      "Cost function before refinement: 3.813327532311906e-09\n",
      "[ 0.80587963  0.01626972  0.04374852 -0.00299843 -0.00217847  0.01745329]\n",
      "     fun: 3.812335448053385e-09\n",
      "     jac: array([-2.22773900e-08, -2.33643926e-06, -5.14150986e-07,  4.15150166e-07,\n",
      "       -1.88629408e-06, -1.01147741e-04])\n",
      " message: 'Optimization terminated successfully.'\n",
      "    nfev: 10\n",
      "     nit: 1\n",
      "    njev: 1\n",
      "  status: 0\n",
      " success: True\n",
      "       x: array([ 0.80587964,  0.0162702 ,  0.04374863, -0.00299852, -0.00217808,\n",
      "        0.01745329])\n",
      "Cost function after refinement: 3.812335448053385e-09\n",
      "GonioParam(dist=0.805879637162137, poni1=0.016270203827866713, poni2=0.04374863104808195, rot1=-0.0029985162209439967, rot2_offset=-0.0021780793792502335, rot2_scale=0.017453292519943295)\n",
      "maxdelta on: poni1 (1) 0.016269720089887214 --> 0.016270203827866713\n"
     ]
    },
    {
     "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",
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       "        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\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\"];\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=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Append all other images bewteen 30 and 40 degrees\n",
    "\n",
    "images_30_40 = [i for i in all_files if (\"del_3\" in i and i.endswith(\"0001p.cbf\"))]\n",
    "random.shuffle(images_30_40)\n",
    "optimize_with_new_images(images_30_40, pts_per_deg=3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "del_29.0_0001p\n",
      "ControlPoints instance containing 0 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 0 groups of points:\n",
      "\n",
      "\n",
      "del_56.0_0001p\n",
      "ControlPoints instance containing 2 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 2 groups of points:\n",
      "# v ring 21: 8 points\n",
      "# w ring 22: 8 points\n",
      "\n",
      "del_61.5_0001p\n",
      "ControlPoints instance containing 2 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 2 groups of points:\n",
      "# x ring 24: 6 points\n",
      "# y ring 25: 8 points\n",
      "\n",
      "del_07.0_0001p\n",
      "ControlPoints instance containing 0 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 0 groups of points:\n",
      "\n",
      "\n",
      "del_52.0_0001p\n",
      "ControlPoints instance containing 1 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 1 groups of points:\n",
      "# z ring 19: 8 points\n",
      "\n",
      "del_42.5_0001p\n",
      "ControlPoints instance containing 0 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 0 groups of points:\n",
      "\n",
      "\n",
      "\n",
      "del_48.5_0001p\n",
      "ControlPoints instance containing 2 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 2 groups of points:\n",
      "#aa ring 16: 9 points\n",
      "#ab ring 17: 9 points\n",
      "\n",
      "del_17.5_0001p\n",
      "ControlPoints instance containing 1 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 1 groups of points:\n",
      "#ac ring 2: 10 points\n",
      "\n",
      "del_41.0_0001p\n",
      "ControlPoints instance containing 1 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 1 groups of points:\n",
      "#ad ring 12: 10 points\n",
      "\n",
      "del_12.0_0001p\n",
      "ControlPoints instance containing 1 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 1 groups of points:\n",
      "#ae ring 0: 10 points\n",
      "\n",
      "del_19.5_0001p\n",
      "ControlPoints instance containing 1 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 1 groups of points:\n",
      "#af ring 2: 19 points\n",
      "\n",
      "del_13.5_0001p\n",
      "ControlPoints instance containing 0 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 0 groups of points:\n",
      "\n",
      "del_18.0_0001p\n",
      "ControlPoints instance containing 1 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 1 groups of points:\n",
      "#ag ring 2: 19 points\n",
      "\n",
      "del_05.5_0001p\n",
      "ControlPoints instance containing 0 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 0 groups of points:\n",
      "\n",
      "del_47.5_0001p\n",
      "ControlPoints instance containing 2 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 2 groups of points:\n",
      "#ah ring 15: 10 points\n",
      "#ai ring 16: 9 points\n",
      "\n",
      "del_06.5_0001p\n",
      "ControlPoints instance containing 0 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 0 groups of points:\n",
      "\n",
      "del_65.0_0001p\n",
      "ControlPoints instance containing 2 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 2 groups of points:\n",
      "#aj ring 27: 8 points\n",
      "#ak ring 28: 8 points\n",
      "\n",
      "del_59.5_0001p\n",
      "ControlPoints instance containing 1 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 1 groups of points:\n",
      "#al ring 24: 8 points\n",
      "\n",
      "del_13.0_0001p\n",
      "ControlPoints instance containing 0 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 0 groups of points:\n",
      "\n",
      "del_58.5_0001p\n",
      "ControlPoints instance containing 1 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 1 groups of points:\n",
      "#am ring 23: 8 points\n",
      "\n",
      "del_45.0_0001p\n",
      "ControlPoints instance containing 2 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 2 groups of points:\n",
      "#an ring 13: 10 points\n",
      "#ao ring 14: 10 points\n",
      "\n",
      "del_44.0_0001p\n",
      "ControlPoints instance containing 1 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 1 groups of points:\n",
      "#ap ring 13: 10 points\n",
      "\n",
      "del_49.0_0001p\n",
      "ControlPoints instance containing 2 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 2 groups of points:\n",
      "#aq ring 16: 9 points\n",
      "#ar ring 17: 9 points\n",
      "\n",
      "\n",
      "del_46.5_0001p\n",
      "ControlPoints instance containing 2 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 2 groups of points:\n",
      "#as ring 14: 7 points\n",
      "#at ring 15: 10 points\n",
      "\n",
      "del_25.0_0001p\n",
      "ControlPoints instance containing 1 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 1 groups of points:\n",
      "#au ring 4: 16 points\n",
      "\n",
      "del_08.0_0001p\n",
      "ControlPoints instance containing 0 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 0 groups of points:\n",
      "\n",
      "\n",
      "del_12.5_0001p\n",
      "ControlPoints instance containing 0 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 0 groups of points:\n",
      "\n",
      "del_21.5_0001p\n",
      "ControlPoints instance containing 1 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 1 groups of points:\n",
      "#av ring 3: 17 points\n",
      "\n",
      "del_50.0_0001p\n",
      "ControlPoints instance containing 2 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 2 groups of points:\n",
      "#aw ring 17: 9 points\n",
      "#ax ring 18: 8 points\n",
      "\n",
      "\n",
      "del_17.0_0001p\n",
      "ControlPoints instance containing 0 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 0 groups of points:\n",
      "\n",
      "del_63.5_0001p\n",
      "ControlPoints instance containing 1 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 1 groups of points:\n",
      "#ay ring 26: 8 points\n",
      "\n",
      "del_19.0_0001p\n",
      "ControlPoints instance containing 1 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 1 groups of points:\n",
      "#az ring 2: 19 points\n",
      "\n",
      "del_16.5_0001p\n",
      "ControlPoints instance containing 0 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 0 groups of points:\n",
      "\n",
      "del_53.5_0001p\n",
      "ControlPoints instance containing 1 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 1 groups of points:\n",
      "#ba ring 20: 8 points\n",
      "\n",
      "del_22.5_0001p\n",
      "ControlPoints instance containing 1 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 1 groups of points:\n",
      "#bb ring 3: 17 points\n",
      "\n",
      "del_11.5_0001p\n",
      "ControlPoints instance containing 1 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 1 groups of points:\n",
      "#bc ring 0: 30 points\n",
      "\n",
      "del_24.5_0001p\n",
      "ControlPoints instance containing 1 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 1 groups of points:\n",
      "#bd ring 4: 16 points\n",
      "\n",
      "del_51.5_0001p\n",
      "ControlPoints instance containing 2 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 2 groups of points:\n",
      "#be ring 18: 8 points\n",
      "#bf ring 19: 8 points\n",
      "\n",
      "del_43.5_0001p\n",
      "ControlPoints instance containing 1 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 1 groups of points:\n",
      "#bg ring 13: 10 points\n",
      "\n",
      "del_11.0_0001p\n",
      "ControlPoints instance containing 1 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 1 groups of points:\n",
      "#bh ring 0: 31 points\n",
      "\n",
      "\n",
      "del_08.5_0001p\n",
      "ControlPoints instance containing 0 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 0 groups of points:\n",
      "\n",
      "del_10.0_0001p\n",
      "ControlPoints instance containing 1 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 1 groups of points:\n",
      "#bi ring 0: 34 points\n",
      "\n",
      "del_64.0_0001p\n",
      "ControlPoints instance containing 2 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 2 groups of points:\n",
      "#bj ring 26: 8 points\n",
      "#bk ring 27: 8 points\n",
      "\n",
      "del_43.0_0001p\n",
      "ControlPoints instance containing 1 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 1 groups of points:\n",
      "#bl ring 13: 10 points\n",
      "\n",
      "del_29.5_0001p\n",
      "ControlPoints instance containing 1 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 1 groups of points:\n",
      "#bm ring 6: 7 points\n",
      "\n",
      "del_24.0_0001p\n",
      "ControlPoints instance containing 1 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 1 groups of points:\n",
      "#bn ring 4: 16 points\n",
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "del_54.5_0001p\n",
      "ControlPoints instance containing 2 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 2 groups of points:\n",
      "#bo ring 20: 8 points\n",
      "#bp ring 21: 3 points\n",
      "\n",
      "del_09.0_0001p\n",
      "ControlPoints instance containing 0 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 0 groups of points:\n",
      "\n",
      "del_10.5_0001p\n",
      "ControlPoints instance containing 1 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 1 groups of points:\n",
      "#bq ring 0: 33 points\n",
      "\n",
      "del_60.0_0001p\n",
      "ControlPoints instance containing 1 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 1 groups of points:\n",
      "#br ring 24: 8 points\n",
      "\n",
      "\n",
      "del_09.5_0001p\n",
      "ControlPoints instance containing 1 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 1 groups of points:\n",
      "#bs ring 0: 14 points\n",
      "\n",
      "del_21.0_0001p\n",
      "ControlPoints instance containing 1 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 1 groups of points:\n",
      "#bt ring 3: 17 points\n",
      "\n",
      "del_57.5_0001p\n",
      "ControlPoints instance containing 2 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 2 groups of points:\n",
      "#bu ring 22: 8 points\n",
      "#bv ring 23: 8 points\n",
      "\n",
      "del_20.0_0001p\n",
      "ControlPoints instance containing 0 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 0 groups of points:\n",
      "\n",
      "del_61.0_0001p\n",
      "ControlPoints instance containing 2 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 2 groups of points:\n",
      "#bw ring 24: 8 points\n",
      "#bx ring 25: 8 points\n",
      "\n",
      "del_56.5_0001p\n",
      "ControlPoints instance containing 2 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 2 groups of points:\n",
      "#by ring 21: 8 points\n",
      "#bz ring 22: 8 points\n",
      "\n",
      "del_27.5_0001p\n",
      "ControlPoints instance containing 1 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 1 groups of points:\n",
      "#ca ring 5: 14 points\n",
      "\n",
      "del_15.0_0001p\n",
      "ControlPoints instance containing 1 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 1 groups of points:\n",
      "#cb ring 1: 24 points\n",
      "\n",
      "del_44.5_0001p\n",
      "ControlPoints instance containing 2 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 2 groups of points:\n",
      "#cc ring 13: 10 points\n",
      "#cd ring 14: 10 points\n",
      "\n",
      "\n",
      "del_05.0_0001p\n",
      "ControlPoints instance containing 0 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 0 groups of points:\n",
      "\n",
      "del_63.0_0001p\n",
      "ControlPoints instance containing 1 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 1 groups of points:\n",
      "#ce ring 26: 8 points\n",
      "\n",
      "del_51.0_0001p\n",
      "ControlPoints instance containing 2 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 2 groups of points:\n",
      "#cf ring 18: 8 points\n",
      "#cg ring 19: 8 points\n",
      "\n",
      "del_26.5_0001p\n",
      "ControlPoints instance containing 1 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 1 groups of points:\n",
      "#ch ring 5: 14 points\n",
      "\n",
      "del_48.0_0001p\n",
      "ControlPoints instance containing 1 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 1 groups of points:\n",
      "#ci ring 16: 9 points\n",
      "\n",
      "del_26.0_0001p\n",
      "ControlPoints instance containing 1 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 1 groups of points:\n",
      "#cj ring 5: 14 points\n",
      "\n",
      "del_46.0_0001p\n",
      "ControlPoints instance containing 2 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 2 groups of points:\n",
      "#ck ring 14: 10 points\n",
      "#cl ring 15: 10 points\n",
      "\n",
      "del_18.5_0001p\n",
      "ControlPoints instance containing 1 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 1 groups of points:\n",
      "#cm ring 2: 19 points\n",
      "\n",
      "del_53.0_0001p\n",
      "ControlPoints instance containing 1 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 1 groups of points:\n",
      "#cn ring 19: 8 points\n",
      "\n",
      "del_42.0_0001p\n",
      "ControlPoints instance containing 1 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 1 groups of points:\n",
      "#co ring 12: 10 points\n",
      "\n",
      "del_16.0_0001p\n",
      "ControlPoints instance containing 1 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 1 groups of points:\n",
      "#cp ring 1: 24 points\n",
      "\n",
      "del_28.0_0001p\n",
      "ControlPoints instance containing 0 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 0 groups of points:\n",
      "\n",
      "\n",
      "del_50.5_0001p\n",
      "ControlPoints instance containing 2 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 2 groups of points:\n",
      "#cq ring 17: 9 points\n",
      "#cr ring 18: 7 points\n",
      "\n",
      "del_49.5_0001p\n",
      "ControlPoints instance containing 2 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 2 groups of points:\n",
      "#cs ring 17: 7 points\n",
      "#ct ring 18: 3 points\n",
      "\n",
      "del_55.0_0001p\n",
      "ControlPoints instance containing 2 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 2 groups of points:\n",
      "#cu ring 20: 8 points\n",
      "#cv ring 21: 8 points\n",
      "\n",
      "del_22.0_0001p\n",
      "ControlPoints instance containing 1 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 1 groups of points:\n",
      "#cw ring 3: 17 points\n",
      "\n",
      "del_40.0_0001p\n",
      "ControlPoints instance containing 2 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 2 groups of points:\n",
      "#cx ring 11: 10 points\n",
      "#cy ring 12: 10 points\n",
      "\n",
      "del_52.5_0001p\n",
      "ControlPoints instance containing 1 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 1 groups of points:\n",
      "#cz ring 19: 8 points\n",
      "\n",
      "del_45.5_0001p\n",
      "ControlPoints instance containing 2 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 2 groups of points:\n",
      "#da ring 14: 10 points\n",
      "#db ring 15: 2 points\n",
      "\n",
      "del_23.0_0001p\n",
      "ControlPoints instance containing 1 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 1 groups of points:\n",
      "#dc ring 4: 11 points\n",
      "\n",
      "del_14.0_0001p\n",
      "ControlPoints instance containing 1 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 1 groups of points:\n",
      "#dd ring 1: 10 points\n",
      "\n",
      "del_27.0_0001p\n",
      "ControlPoints instance containing 1 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 1 groups of points:\n",
      "#de ring 5: 14 points\n",
      "\n",
      "\n",
      "del_20.5_0001p\n",
      "ControlPoints instance containing 1 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 1 groups of points:\n",
      "#df ring 3: 17 points\n",
      "\n",
      "\n",
      "del_54.0_0001p\n",
      "ControlPoints instance containing 1 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 1 groups of points:\n",
      "#dg ring 20: 8 points\n",
      "\n",
      "del_07.5_0001p\n",
      "ControlPoints instance containing 0 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 0 groups of points:\n",
      "\n",
      "\n",
      "del_64.5_0001p\n",
      "ControlPoints instance containing 2 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 2 groups of points:\n",
      "#dh ring 26: 8 points\n",
      "#di ring 27: 8 points\n",
      "\n",
      "del_58.0_0001p\n",
      "ControlPoints instance containing 2 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 2 groups of points:\n",
      "#dj ring 22: 8 points\n",
      "#dk ring 23: 8 points\n",
      "\n",
      "del_14.5_0001p\n",
      "ControlPoints instance containing 1 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 1 groups of points:\n",
      "#dl ring 1: 24 points\n",
      "\n",
      "del_55.5_0001p\n",
      "ControlPoints instance containing 2 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 2 groups of points:\n",
      "#dm ring 20: 8 points\n",
      "#dn ring 21: 8 points\n",
      "\n",
      "del_57.0_0001p\n",
      "ControlPoints instance containing 2 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 2 groups of points:\n",
      "#do ring 22: 8 points\n",
      "#dp ring 23: 8 points\n",
      "\n",
      "del_60.5_0001p\n",
      "ControlPoints instance containing 2 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 2 groups of points:\n",
      "#dq ring 24: 8 points\n",
      "#dr ring 25: 8 points\n",
      "\n",
      "del_23.5_0001p\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "ControlPoints instance containing 1 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 1 groups of points:\n",
      "#ds ring 4: 16 points\n",
      "\n",
      "del_41.5_0001p\n",
      "ControlPoints instance containing 1 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 1 groups of points:\n",
      "#dt ring 12: 10 points\n",
      "\n",
      "del_06.0_0001p\n",
      "ControlPoints instance containing 0 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 0 groups of points:\n",
      "\n",
      "\n",
      "del_25.5_0001p\n",
      "ControlPoints instance containing 1 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 1 groups of points:\n",
      "#du ring 5: 14 points\n",
      "\n",
      "del_15.5_0001p\n",
      "ControlPoints instance containing 1 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 1 groups of points:\n",
      "#dv ring 1: 24 points\n",
      "\n",
      "\n",
      "del_28.5_0001p\n",
      "ControlPoints instance containing 0 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 0 groups of points:\n",
      "\n",
      "\n",
      "del_62.0_0001p\n",
      "ControlPoints instance containing 1 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 1 groups of points:\n",
      "#dw ring 25: 8 points\n",
      "\n",
      "del_59.0_0001p\n",
      "ControlPoints instance containing 1 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 1 groups of points:\n",
      "#dx ring 23: 8 points\n",
      "\n",
      "del_40.5_0001p\n",
      "ControlPoints instance containing 2 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 2 groups of points:\n",
      "#dy ring 11: 10 points\n",
      "#dz ring 12: 9 points\n",
      "\n",
      "\n",
      "del_62.5_0001p\n",
      "ControlPoints instance containing 1 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 1 groups of points:\n",
      "#ea ring 25: 8 points\n",
      "\n",
      "\n",
      "del_47.0_0001p\n",
      "ControlPoints instance containing 2 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 2 groups of points:\n",
      "#eb ring 15: 10 points\n",
      "#ec ring 16: 9 points\n",
      "\n",
      "**************************************************\n",
      "Cost function before refinement: 1.698268431142398e-08\n",
      "[ 0.80587964  0.0162702   0.04374863 -0.00299852 -0.00217808  0.01745329]\n",
      "     fun: 1.3823974688527844e-08\n",
      "     jac: array([-1.56218623e-07,  9.61281904e-07, -1.71872926e-08,  7.24103610e-09,\n",
      "        7.79414201e-07, -1.11554378e-03])\n",
      " message: 'Optimization terminated successfully.'\n",
      "    nfev: 49\n",
      "     nit: 6\n",
      "    njev: 6\n",
      "  status: 0\n",
      " success: True\n",
      "       x: array([ 0.80589511,  0.01627498,  0.04325228, -0.00259729, -0.00217415,\n",
      "        0.01745329])\n",
      "Cost function after refinement: 1.3823974688527844e-08\n",
      "GonioParam(dist=0.8058951076435328, poni1=0.016274983758757213, poni2=0.04325228084947446, rot1=-0.002597293034331009, rot2_offset=-0.0021741457784995983, rot2_scale=0.017453292519943295)\n",
      "maxdelta on: poni2 (2) 0.04374863104808195 --> 0.04325228084947446\n"
     ]
    },
    {
     "data": {
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       "        alert('Your browser does not have WebSocket support.' +\n",
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       "        };\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\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\"];\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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cVx99dVxwgknxFFHHVW+l6A/6M+9X3rppfKdC+ecc04sWbIkpk2bFkcffXQcf/zx8c1vfrPPb374wx/GhAkTygz90qVL46KLLoqiKOKMM86I73//+31+c++998aVV14ZV155ZVxwwQVRFEWMHTu2/G7RokWV6w/nPQDf+c53+t1WhmEYvwlYABiG0TDQm4AnTZoUgwYNihEjRsT8+fN/6ZuAv/SlL8V73/veGDp0aBxzzDExbNiwePOb3xzXXnttH6I3UALg3HPPPezNv4cSABE9eyE+85nPxNlnnx3HHntsvOY1r4kLL7wwHnnkkVdThX7f+6c//WksW7Ysxo0bF4MGDYrTTz89pkyZEo8//vghf/PCCy9Ee3t7nHnmmXHMMcfE8OHD46qrroq9e/fWvV7vdDjUJ9sE3wT8pS99Kd7ylrfE8ccfH6ecckp84AMfiO9973v9ah/DMIzfJCwADMMwDOMwQQFgGIbxuwoLAMMwDMM4TFgAGIbx+wALAMMwDMM4TFgAGIbx+wALAMMwjP8GPPzww4d8izA/N95440AX9Yhx4403Hlbd6u0z+F2HBYBhGL8PsAAwDMP4b8Cv2lx6qE2mvwtobm4+rLotX758oItqGIZh1IEFgGEYhmEYhmE0ECwADMMwDMMwDKOBYAFgGIZhGIZhGA0ECwDDMAzDMAzDaCBYAAwgfvzjH8fWrVtj27ZtsWvXLn/88ccff/zxxx9/juCzbdu22Lp1a/z4xz8eaFr3OwULgAHE1q1bD+skDX/88ccff/zxxx9/Dv3ZunXrQNO63ylYAAwgtm3bFkVRxIwzLoxFo6bGolFTY8GIy2PpmZfG4qap5XeLRk2NOcOnxfTTrogpp14R7SMvj/aRl0frsOkx/bQr4trmKbFgxOWxYMTlsaTpsljcNDWWNF0Wc4ZPi6VnXhpLz7w0ljRdFotGTY1rm6fEh157efm5tnlKtA6bHnOGT4vWYdOjddj0+NBrL4/pp/U8R9ctGNHzzAUjLq/8/rre+y0YcXlZ1vaRPf+vZy4aNTUWN00tn7G4aWpZrqVnXlreWx/dW22guqlsvFb1VZvp++uap5TlWNxU+1zbPCWuH31JWfbrmqeUz1g0amr5bJXjyqHT+9StfeTlZX3mDJ9WXts+stZ3Ksv0066IJU2XlfddeualsWjU1Liut911vznDp8WCEbV210f11vN1P7WN+oxtp/ZSu8p2eK36cfppV5Qf1Y/tuPTMS8tys98XjOixHdmPbGhxU61M6mtdv6TpsrLNr0X9eV/ZjPp/cVNP38wZPq3sjyuHTq/0GdtXv9c4WnrmpRV7ZJ8vabqs0lbsZ42hJU2XxfTTrqjUn2NVZdR3S5ouK8u3fMwl5X2vH31JnzFNG8u2pTagnatc7GP6ANqAft86bHrZT9ePvqRPv+t+i0ZNLf2EnrWk6bI+/aOxxnqwT2i3urfu2Tpsekw59YqyL7ON0F+p3+YMnxbLx1xSsd3WYT3P0/hTu9Qb763Desavyqj6zxk+LZY0XVY+S/1Au5O/oW2rrGqrbGMqs9qGY5d+u56PV1vrGSqn/BnHnupB/6ixwmdle2X/yr70d92/ddj0sr/oc6/DWF/cNLX0o4oj18Ln8iNfqTbL40j2zfGosjNGTD/tisoYVduqPCxvHp/8G/0zfSRjLceayjFn+LS4tnlKxT/Kb6uv9Fu2ZR4/2c8wfrAMahP2u+Ja9gG0eT1j+mlXlHabYybtmbautpat5HivNuO4v3Lo9IqPyvF6yqlXVOogv0I7zbaidpRN8XuVi8+69LT/I4qiiG3btg00rfudggXAAGLXrl1RFEV86LWXx6qx82LV2HmxonlBrB0/J1a3zCu/WzV2XixrWhhtw9tj9tD2WDl6fqwcPT+WjmqLtuHtsW7C7FjRvCBWNC+INePmxuqWebFm3NxY1rQw1o6fE2vHz4k14+bGqrHzYt2E2XHDmPnlZ92E2bF0VFssa1oYS0e1xdJRbXHDmPnRNrznObpuRfOCWDm657/8/fre+61oXlCWdeXo+bFq7LzymavGzovVLfPKZ6xumVeWa+34OeW99dG91Qaqm8rGa1VftZm+Xz9hdlmO1S21z7oJs2PDxFll2ddPmF0+Y9XYeeWzVY5FI9v61G3l6PllfZY1LSyvXTl6flkOlaVteHusGTe3vO/a8XNi1dh5sb633XW/ZU0LY0XzgrLd9VG99XzdT22jPmPbqb3UrrIdXqt+bBveXn5UP7bj2vFzynKz31c0L4h1E2aX9iMbWt1SK5P6WtevGTe3bPN1qD/vK5tR/69u6embZU0Ly/5YNLKt0mdsX/1e42jt+DkVe2Sfrxk3t9JW7GeNoTXj5kbb8PZK/TlWVUZ9t2bc3LJ8GyfNLO+7YeKsPmOaNpZtS21AO1e52Mf0AbQB/X7pqLaynzZMnNWn33W/VWPnlX5Cz1ozbm6f/tFYYz3YJ7Rb3Vv3XDqqLWYPbS/7MtsI/ZX6bVnTwtg4aWbFdpeO6nmexp/apd54XzqqZ/yqjKr/sqaFsWbc3PJZ6gfanfwNbVtlVVtlG1OZ1TYcu/Tb9Xy82lrPUDnlzzj2VA/6R40VPivbK/tX9qW/6/5LR7WV/UWfux5jfXXLvNKPKo6sg8/lR75SbZbHkeyb41FlZ4xoG95eGaNqW5WH5c3jk3+jf6aPZKzlWFM5ljUtjHUTZlf8o/y2+kq/ZVvm8ZP9DOMHy6A2Yb8rrmUfQJvXM9qGt5d2m2Mm7Zm2rraWreR4rzbjuF80sq3io3K8nj20vVIH+RXaabYVtaNsit+rXHzWnOHToiiK2LVr10DTut8pWAAMICQAFjdNLQe7iEcmxHJ+GoAaAHK8eZDKOdHxLWtaWAZBDUQFfhKcjZNmln8TUVjfKzLkCHXvtePnlE5Rz5JTZuCVI1NZGLTk8HQtHX8mFbpPJqgiuAzSImMM0iqDyqQgLoepMpCcso1IevQdSSqJtp7DviFRXT9hdnkPOWsSow0TZ5WBMwcXlVHfq035bF3PIJIJBp21HGsOcDk4KyjoWpFqkjkGok2TZpb/1rUUkKqDbEj/Zpvr9xsmzirJNMui36guHCeyVZKaDRNnVfpO92UfsFwKcCTJujcD0YaJs8pxvGHirAoxUj+rLrJJjSsGaAkPCguOafaPRKN+J5vLAmt1S81us7/QmFN5VW/WTW29dvycsh81dvRstdmmSTNLO9V3Igp5jMtnrOsVZqyv2i3byNrxcyr+YlnTwtJHqWwS/JnsyKdkATdjSM3H6rkkyyS7a8bNjRlD2iuEjUSa35MAy+boB9i3HP+yQdkH/T6Fo9pG5aIfVN+SNOk3HKeKOxQmJHcqv8q9aGSNdDOmZPKoRIF+nwWlbJRJCPoKCg7agOomgctYJzvNYkS2wX5S2enb6wkpxjjaOQWe6qt6yBcx1qk/2e8sl+6r/uF3anONk+zDFRMolrOdrZ8wu0wYsN/VhvV8/MZJM0tbkB3KV6o/1o6fUxGEtC0mAnlf+U/dox6PqZfQYYzRfRaMuNwCoB+wABhASABcP/qSCpHPjo4ZERq9nA8HjRxtDhpyYnSUcqIkzXTKJOUMJiyfnAeDy4aJsyoERcFRzjpnrhW0soCR6MnZkxwMGMwzIWYwlsNXIKLw0b3pMFluZioYYJi9UUCiYFk5ukdQ5eyMvmdAVpkYeNVvCpBy4hRDJHeZQDOIUAyqzLnvWT6SNYoLZtdIquXQs+Dg7BMdP8mC7sNZokwySXKZsc6ESnaXiTb7nL/Jsxj1ZhtINthW6jf9Tn2qsqrfVN8sCOtljTmmKVIlKugD1C+cGVRw1/3lW0Tq1CZrx88pbTOTDQbfbC+zh9ZEruqj6/WseuKBGb4sTGQTHDskYNlO1e9MPOi5TKao3rOH9syebpg4q7yv7Es2pkQCxzWzo/Sx6ieKVPra3I+ZXKlOJHEk5uxb2Q37hvegzWbxLH+kZ3Fc5+wxheANY+aXbabyzB5aEzxqP7VF9o8ScXk8si9J7LIvJQmVbaqu6jNmwteMm1tJDpDIqzybJ7eW45hjWW1BAc5n0rdmYaFkBvuBQpmxTvZI289jn+VVHekzNSaZIBQhVzkXjWzr42vZPxS3TMyp3VgWfZ8TAPUEIsWx+n3dhNmxCTN4jA2sG/ueZcjxnKKBsXbRqKkWAP2ABcAAQgJgwYjLK4aep9g1MJQRkXNfN2F2SWg5mOXEsiKXs9P/M3Bx6QoHKZ0aHY2cArO5nK7Vv0k+dB8GBxJqXatMnIiK2oFT8cyqMDiobAqCOTDrO9aXwZdZKzngTNoUxJiBVBDi83QN24ZBkk6cmSS1jQgNl0UwKGXizuymnKvumwPvhomzSnLL9s1LVUTMWV7OEJHAM3jJ4W+cNLO8J4Uhs15sWxEOZs5yJk32ItsUwVagYyaPWTvdl4G8HoERsSVRkB20DW+PjZNmlkRf5ciCR+NPNp3HaD3RSbIrG1V914NUc1xxOl0EiDM5FACqA0UbZyRoj8rw5e/VvySuFGIU/hrTHGebJ7f2yQLyHjkzKvvK44fkW22q39H2VP88JrJfVH+smzC7JL4UAZns3zBmftknHIsccxo/ecyqrZhRZwJD/URBT0LHuLCsaWHZ7xR4tDX2GUWx4gGvnT20vfy7xOuMIe2l71R5N06aWUkCMVH0N6+7qjIOJBwoMkSwVa6LT1oYF59UmwGR6MltyzjBJBbtgks8KQazz1WdsqBmDGQCS2XgLAL7g37n9rOujg0TZ5UzYYyni0a2VWZNmVCh4OAYIPnNWfUsIrPvWNG8oDLDkp+ndmYcUwJMJJsEftXYebEJyxtZHvozzkjRRjdMnFVZoptFRz1xlG2XQmPNuLnRPtIzAP2BBcAAgnsAGBwUoJgZlUPLhq8BmDMmJNsKDAoicqAMzvUyNpzqZDaJjk4DlSR5dcu8SiZUvxERzhkeBQUuYVDdMvkgIdJ0ppxiJlESS8yiKoOesy05iyMimIOD6sSsMR07yYrKoLYkSZbzl2OWaGM2TFkgZnBIoinG1AfMcqvfNIOgZzOw8to14+bGbZNb+2QVmWVScFVZN06a2UecMFOofuGUttqWQZ0ETmWmaNW/mRnSvZkJ2tRbnlwGEg/aiTKDHAc5O8VsJftSbXAoMZcDZyYlGn8zhrSXxEt10kwQx0nb8PaybLyv7q1+oM1kskuxy4SDSDiJayb/GleaiVJ/kXCyXBxLbA+OIwqevJdJNkFSIv8noaM+0Hhk+2Ybln1QULHPchuQKNfLjOYZC/lc1lltQ7+pZA7HWfZxmybNjE2YIaQol5iWUKXQzT5o46SZMXtoe1m3vHSFba6+YHJE9qj/MnGjNuOyE44Xfk+/xrpyCVee0c2EVktX8qxLjlUU63qW7DwLD4pw1k3fk7jqtySjskmOyZxNp2BRnehv9B2X1sl35+VVa8fPidsmt5YxXb6RZJmJGdk+Y5LGNtfwywfQp2iMcUzIj6yvE//0X86qabzSb5OTsH8kdPPsYhYGTNopfnoJUP9gATCAsACwALAAsACwALAAsAD4/RYAf3X2vLj9/7o17v3knfHlm++ufO67aUt8+ea748Fb7o6v3nJXfPWWu+KLa7fEg7fcHV9Yc0/cd9OW8vPgLXfHP677+/jyzT1/+8Kae+Krt9wV99+0Jb64dkvlnl+5+e544KYtcX/v7x68pedvX+m9Rr//wpp74sFben5z79p74iu913ztlrviKzfXfvfl3vs9cNOW+Ootd8W9a++Je9feEw/0Plv/VR1Un6+grizjF9bcE/f3lo+/1X2/sOaeuO9Td8bdizbEx8fXNhJbAPz6YAEwgOASoEyI6fzkTBRESDzlMBls5Rw59Z2duX5Hp6jvFRQWjWwrp8P1fBJiTQNTiCizoPLnJUAqG6dARUwyIZ8xpL0SHFU/to2IsIgP23HRyLaSEIoUrhw9v1z2oPtqb0QmhnLwDBoKNCKenIbmekh9NI3PIKvTYfRcfURy1Y6qbxTtJtYAACAASURBVK4X24p1ICGiYFPfUDgwqNOxqr7ck6L7zBjSsxyAm/VYFk7X0nbVDpnAy3b0fAk09SuzXvqeQfr2s66uBF0RDRIK2Q+DBsWf/q5AL3vJxJnlpp1KnND2Zf/McLH8FH26jqcxyf5IrrSWVm1GYqRleCS8PD2DWTsRHQoh3VvEUuOJ92CSIC/XyaJZ/SD7pH2pb2UTWttOsUy7IPGmXahN6glDPY8EmcuCNGaznaruupaknctf5NeyGCTZZIIli089n0u5sgDIyRAu1aH/VtkkGPPYkY+W3TIOMPOq/lN/smwk1fQ3TJqw3Fymotig7+iH9Dz2O5MpbDMJiGVNC8uYpOfpXhx7agMKUwmfzZNbS9GvGEgb07+ZTFH/S7jJF2qcUszRV68aOy8+NbEtvvjJO+ObD/1rdDy6I3Zt64xd27pi17aueHx77/9v76z9/7au6Or9765tPd8/vr0zdvX+/fHtnfHt7fi+9/e7tvVe0/v/+Tf68N7lp7xXz9+7yr+nMlSurdYhl0vPz9+xHProHt+u/L0zOh7dEY8+9Ejc/6k74sbJ1UQfffyHXmsB0B9YAAwgJADaR15eCTo5oMiZKPDmbAnX4zHbwcAjsk3CxkwlMxb6m44dlbPN5FOOmo40ZxNzdpdBVYRBhIYBlkSG2RaVU8/ihsf1CKQicQwuIt2zh7b3CdwKyAwCEkBsN84MsD48+YGEJ5MwOS4SMtWZwVftyIy0bEFZMGYIF41sixfmt8SzH/zfKgFLAZgZYv47Z60UJDm9zPbmDM6qsT1rQUnKKdhkf+tBhnKGjDZFcicBp+lpZbVJmGivJCaqB0mY2pxkVn2eM9wUnCTcJFbMpNerA0UGxxvLxaxjJg55QzfJTxZteS+H7pvtnz6G5eXvmFzIMxsqI9tGCQPOclBMyk9QvKstcvvITtQ2JFEUrywvx32eXaRYpxDjbGgW/Ln/84yLxkae5aAwWjW2JiZEDrVsgzbP9pDv0f3zmm2WgbMzFCb0cUxYMCYwSaDjbbOA16wqxzBPfVF9NY65X4aJBSY2+Nyc2NJ+JO574FjKfUl/TqLPMcyZCLXDiuba0ZgcUxINsj3dj758WdPCSuJD99XJcTl+Man2Dx/+q3j0oUfiie3fib07u6N7x5440NkdBzq7Y2/Hnni2szue6dgTz3V1x/7Ons+znd3xbEfv/3fUPvs69sT+3t/p2ue6atc+07Ennunoub+uO6D76Xkd3eXf9Xs9e1/HnvJzoLM7nt6ZytXR893zXbsr36k8z3XV7vFM77P241l8Lp/9TEfPPXn9gc7ueGbn7nhi+3fi//1//jXWL7i1jMfZB3gPQP9gATCAkACYM3xaachyaptw9JacUyaTzFYoYNBZUgBkYpoJWCY8zLiIlMoBMrOjAEKnmLPAzJzK4TPo5EyayECeOhfBYBtsnDSzLCezlQqYOXsuh52DtwgLT34hAVFw2Dy5NZY11TbecXp4Y++GLwoWZk2zKOL/KxNaj3TlDJmINDOuIgPMRHETcbaFnHHU87mUh6KLBGjGkPZyOQHJqNo1Cyy1S87kcjkI6yJ74ikknMngMgFmlUkGKBxFELkEiyRKxEeCRtlHEmgSe9oIhQ9J7sZJMyszPPqeG0dXjq4dX8sjJUmASFwpRrnpUkJZWUldn2cLKK4yWcoZU40FXquysb00hmXjJOUSqhS/ImCrxtZmATUrQjLKMUnbWzW2Z+YnZ1xp/xSDsmdey3qobJwVrNfvHCsU1iTJtMWckOHSPY0vLuHiOMiJkzxTqBk8bUbXtW8/blYfYcH3kOQZAPkNfTdjSG0DPn2AZkdIvLiBNfsLnjAke83Lu1imtePnVHyp+oWJB30/e2h7ZVZZz9EMhTbY5hkcLiVjkofvBOGJXST+jKV5jGg8ZQG5umVeGSs2f/zzse2bO2Lfzir5FWEXgX+2l/QeAAHe17En9vZ+SKr39QqHZ0HCKRZE5g/0fkeS/2wi4vl+FAu5vBQWJO/P9F779M49ZRlU7gNJZKje+b6q49M7ez6lSOh8Kjoe3RFbP3VnrBw9v/RxPMDA7wHoHywABhDcA0ByJqfIteRySsycyZEz86bvORXPKU06fAUaTqvJaeq/etbsoe19CIGIfN6opOcz68xn04GqDMwiKYCKLJFAKOvE01VUHxIjkmdmjRkgSV7VVgpEykIqy0niqnrpOwUjBUpNMa+bMLuypGLt+DnlCUfM/jILnJe05FkTZv0UwHIwZnZK/cEToUSE6j1PAey2ya1x2+TWWD+hdtIURYjai1lKBULOxOg0JZERfa/+zjNPnPlgoM6ZYJU/Z+2ZkZNdiHCKGItcaryw/sz+8aN6UshwqQ+X7zBTmTPt2Z7VPznbWU/wiEQqG5mXsuUs7OqWeZUgWW9JCkktfQPHNpfqyNfQPmXnGoP0A9mX6d88SeXvXndVmZ1m5pv+JicT6Js4jmUDOYOeCZtIKX2H6ifhKXsQ2c6zRxqL9NG6nn4oZ6hliyT167EMi8KPSQiSbflOLlWjcGD/UgjSxnISRv4gE13uGctH86o/VF750PUTaqcpqbwUKyxbtl0KELaDRCL3utBvsAz1BABjIe+fn8WZUPaFRCHjq4R+bnv5wWVNC+O+m7bErm2dJflmpn7Pzj1lVl6Z+wOd3fF81+4KCc7EuXtHjSg/37W7FBG6rwj8k9t6nqGsvIh4zsxLJFBEPNfVU15l5iVSRO71nURGzuprdiNn9SUwdN1zXVXhkwXAs53d0bWtMx64aUsp1vOs6XXNUywA+gELgAEElwAx0ydyxWMmmY2iE94wcVaft8fKmXHDlKa9FcgVRBnUKBpIVOTQ8vIBHQcpZ64MJDPPupazDRrEyn6SsJCwqS1IojTlnAOD2ohETqSJmTIRYWURlfkSKdK1cuycQlc5VS+KEBF6BhjVm8RTBEXtpnsoIDO48C3LFArc6Mi2yZ8ZQ2qijcSMQpLEicvK9D0DOEWCyCFtZPbQWoBWGbRJOBMFZfiZbdNzNRPBNtfabbajyDsJin5HYs8lDepzzSxo+UomBSSoq8bOKwUwxYm+k02onhefVMs0ZwGdl6Tpedy0rPHBfiBh1FjmUg+SUdmbSD/voTIxc61xkzPPzGDnWYN6sw30NxqntBEJv0xWNdb5jExQ5fM2T27tk51l/3H5mtqA/aOxq3uSIHIWTnWnYKR/1JjMS+PUxlyuk4/cze3PNpDvq/c97YZvcaYvkO3kWUjOfrAMeYaIM0Icf3mmS+VUZp/11bjKgk2zCOwT+TMKANl4PZHHgw9o06wHRVYWUvRBGo9qb9qTxqn+Xz5aQo331rM4o6Xyrx0/p1cAdNWWtXRUya0I9LMg5M937Y5nkPV/BiJhH/5f98rZc5LqZ3APPZNleGrHnnLGgCJEv+HsAL+rNzvAWQPdI5dVguDpnbXZDX13IN3vua4esfP49s746i13VfyZbGrDxFneBNxPWAAMICwALAAsACwALAAsACwALAAsACwAftOwABhASAAsbppaCbxy4DnA5elgkmFOyZN06h4k+XqWSJwcNwmP7kOBkB0tl4woKGnanUtuFFgUOOnw5SQpOChwuLxI9+XmVf1eTpzlFYHWtXl9P+u7umVeRRRo05uex6U2Ch5cEsN19nqe7sGgx+CoqXkRWm4iVB/koLW6ZV65LIdtxmUuXLYhokJypWDFDZUioLRBHjtJ0qKAqL7KZJJkNK9hpmDI0/+6j+yE983Lejhln5dS6Dv+XgSO9si2z0SaIlU2q3FEe9R9svgW4WJfaHkJiYNsizamsct10yRnsksJbZWPRE5tzdNjtGGbdbj4pIWl7ea2VX255EJLwbgkROSzXj9z/JKE0jfIl5DwiXDNGNJe8VlMIrDP9B3tQn6CwoTiSGOAS/7Y3twPk/2Slj3l9ej5o436FPHqN/kzPVt9xTHFxIt+TzGqdlWfyObob1Y0LyhPvcmiKvv8TMD1/bKmnrdcqw3ULiL/tB0ldjj+suChSOe4puCgHVEIZHvib9WO9FP5xCLGRLWV/Cf7m7akcaA25lhV/MzJNPXXAzdtiV3bO2NP77KWZzqq6/e5/EXfV9bo4zvtGchLaZ7GvUXQKSz2gbSLlIt8P9MrHLTnYH96dl4qpHt07+j5aA+B6iERoudzDwDreQDlUl249OfpnbXlTF3busolQBRs6p8rh063AOgHLAAGEBQAzJwxY57JErMSzGYxcOrfOWuo3zJgkIDzJSTZWTIQ5EAs0sksdf49Ay8DUc50yvGKIOej5/Q3PSeTwpwN5hpW/oYfiZV64orlURvkLDn3ADDYaYZEgYPlyplNZvMy4VMA174CEXYSep6GxKyzyk7CS/LKwKoMPoOpiAsFHsVqvYxZJlG0X5JhtU2ekRJ5Y/ZO7c7srEhKXsNP0i2ixGBP0q6xojKoTLQF7g1geUUwc3aW/ZLrS0Ktsap68x4in8xai1Dy9Cj1Zc4Sa/yQaOv6LNo4LlhuzmbpGSJ7JLMcPznjys3J+jv9hMSm7I7ZYQkMjSM9n7NE9F3sT/VpFg+y7fw8CSQmETiLsaJ5QaUeXPcvP8VZtbxHiTamMaRMsexSZJKzv/pbJtkk0CyjvqO4Un+w3xhPOKZIojXe18NOafucPZMfY9vrXhJBarec0GHbaJypLbJAoc+UQJIYox/IMwAUaVko6/rsH/MslOKL4oo+mgmjsKCI5gyARMCBzkT8O3rX2ovYdxxaIGgPAGcG9BsR6j07a9n8euv9KRZ4chAJvO73NPYQ6Llcw//ktlqWP4sHleuezZ+Poihi8+r1lf0ELBNPRaJAkAD44totpY9mbLlhjAVAf2EBMIDgewBIlEmyFDS1ZIHTu8zuKgho856cozJcPMIsTxnLGSpoafkLieDmya2VpTU5y8ngwawQv2NmRY5VQZBERYFFTjtPt64aWz2JRQ6cWStNvc8Y0l4JnCrz37zuqgpRzdP/Ig6ZGCm45yl/EnISZGa0SerXjKu9dIvBn5lEkkbeWySUQYuZ17xMJmeStaGRwUpkR6STZchkSHXIGWbZx6a0YVJtxH4kIaWtc2Mr20zEicRT9aVd8FqSel3LdiARyPaVZxZEnHM2Mo8TLs0gyVTbsL3ZrrwHl1KoPBTvLJuEEdtQdeJM2dJRbeUsDzfca8NmFiG6L+1RRJe2ztlFzoSQMLJeWoLHqXzOYHHDMWc32G8SCJyh0fsbuFRNZaaQUmZ6dcu8ukvW2C8irdzcvaypdhQr7UX2IP/KWS0RR44TXiNfQ+LOGbTsD2QHssU860Lb1thXe7Ed1Tby+/IV8qkqg2yKdWDWnJlYzizQHjk7yX/TVjVeNPbr+WP5U/WZ/A/bTvWUMF05unpgBftGfcuMvZbYcTzoe/o++oJ8pLP+u2hkW3xxbY8A2LNzT5nlJqnXZmAuu9HpOSXBB2l+vmt35bhOZcq5gZdHhuZTgET2n+/aHc937Y4DvcJE5dPnqR2104fyCUEUALqG4kHLkEoB8Nc9AuDWT68v7yfCz2VAz6BevO7x7Z3x5ZvvriRkZg9tL/mNjwHtHywABhD1TgESyWFwYbaVjp7OhtlZBXWSegYo3VdLWjS9r3uKAPK+ynwxyItkZ0LFDB0zQ/p/lVG/VSDJYiFn1PlRWzDDx0BPkcMMl4ILA7ACBYO/MmsMlgwE7J9VY2vvAWBWol5AVn00A6NrlNFSsMsEhmSH/cjykWyoz+ut3RURYnBWv+cjOymc2O8MvMwaZ0JPAp/bWJnbbDcifxQy+v8sFvJSM5UnL3Vj+fRvZmNpT5wpkC3omrzuXvfhaU8kZiTwIr4kDdqjwr7UezdIYFaOnl/JxHJ9vcYyZ1WUNCDhUvlpjyS+tBHZCceN2jnPuvEann5D0cild7KdLIrZXkxiiByrb9TWfKbqS/+mtqCPyvXlGv4887k+2Rb7O9ujnieflfchZOLNGQkmAFQ21VdHSWbSqXuzzWWn7F+1n9o5Z7k5JplsoIDWs0m+RdYpaCTMmYWnmKa4VdvlmSOVLc96ZD9H/ys7pc/KAkK2eKgZD461nMiS3an+FNyyN96XImnNuLnxhTX3RNe2rjLzns/V51IZZs1F4LNY0JIartXXUh7OLDzb0V3OBFBY8KhQ7R/Qkpt9+LvEBZcQKfvPTL9OCRLhzzMAz3TsqQiAct8DBAD3MeS9B8909OwB+MrNd1fGmMTA0lFtfhFYP2EBMICwALAAsACwALAAsACwALAAOFIBsG/n7njg67vijvs744tfezz27Oi2ALAAOCJYAAwgeAoQg+SikW19phRFuhi05XDp/Eh+6dwVyOhsRejlMLmWNC+Z4Dnfuj8dLgmMnsFr9HwFg7wEgkFe95KzZzvoOxIFbRTk+d8K5NwIRoLH4KtybZo0swx6IoYSZLke3JugAKR7sWz6Nwkmp5N1rQInl9wwUDOYywHmtdz1BACJiU43UvDNwZh1yMEwL2dR2Tn1TqHKtpEtkTiJ8LAd+XwSHj2DSyZoT1yXr9OCKCi5DyCTWbUZiQJPZVI5ZDM8cWt1y7w+59+vHD2/tDXWTeMkC1n1Tz3RS6K9ufdNshLtqi9JtcqQ7ZEvVFMfsB3Vz7RZjfNsCyuaF5TvWtA6cY53/pb1Vz/V2zCrvQbZX4nAU/SJaJF8y5ZULgpojb28v0n1YjlWjZ0Xbz+u9r4Mknn6PdmvTrji5mL6Z9Vn5eja6WMcp/yOyRy1CduFY1H2nUkyxTrrxGVGtH36HBIrPYsJEran2lRlyEKVb45X+6nNs7DPS+PoB3hPXZ+XOq1uqQkAlZfXsL6qM8e1xp9Ej+xZL+aj0KZ9M7GVE023n3V1JVH24C13x+PbO0sCTvKsTD5P8NHpOPkEHZHsvTt3x8o7Ho03Lv9KNC+5v/y8afmDsfKOR2Pvzh5CrncF5CU8eotvXvsvEaLlQDztJ4sQ/n5/Z3c8+rV/i8svvjROH3J6DDpmUEwYOz4+s+JT5QzFls1/H0VRxLpP3hLtM+fH0NNOj+OOPS7ec9674ltf+9fKewoOQCDomd/e3hn3rr2n9FmMhatb5sWSpsssAPoBC4ABhATAolFT+5AeBn9lbHO2Xw6Ga6M1OHgvOcL8DGY1GVD5AiltPlVZ5DDl9Ljmk4FewZ7XMpOqz22TW8uASKKr5+R2UNBQFpBvXKVg4VpinmIiEk4yqlMrcmY0Z+0ViG6b3FpZg6w+UKZe1+oUIGbw6wUlEpUc9BSYmaUkec19zGtJfJkFpUDKZcmbG1eOnh8Xn7SwnAHSc26b3Frem4JH2TTOmKjvGSh5YhSfLRvO9dLfcuYtb1ZVmUluOZuSs9G8Tu2wauy8uA3HTYqoaQyqX/RWUpIvkr48nkXg84yHypJnCyh42E4iWTxGNc+q6PkUaCL+aguKCBJdXbtq7Lx4YX5LPHPFG+KZK95QscUslPU9+01iMGdc9Uz5Fmae62WP2TYivfnoSNaVyRC1Z55BI8GXwNVmfJaXxDWTaoojfS+7pO1pppQ2omuyPWr2lrMcajP6VfpRljcnflQ3jaM800X7YCKBvpTtmAWPns/9AqoPbZJjk9eqLHkmJPsWlYHCgDMlbA/1o05L05p+jUPZHZ/NGcOcZFjR3HNaVj5YQG3GU9lyUmvl6PmVTcA8/UczACTifFFXzqgf6OzJ+k9b+0/RvOT+GA3yz39PW/uNeHrn7gpZ58yCjvysrL9H1p77BbJY4P/rnl0PPxYjh42IkcNHxuIF18Qnrl0Z7z7/3VEURXxs8bI40FnbAzB5/KQ4a8KkWLH4umhrnRfHDh4cLc1j4wePfrck/aovn7drW2e5CZh8pmzvUVMtAPoBC4ABBE8BoqNkZkUnYSgAccMaAxQDuhwcs6AkEznboqAipyYHTNIoZ8eAoWyOlh/kgMSgqd/r73TW+Vo9d1NajqLgwe9I/jRzwqMUmX0X2c+kiaeYcBmF+oHtR8JGgiqSwaweCTvvKyJbjzznGR6JmCwg9D2zbFnoqVy6DwkMibnqpQxZJjuckdF1CqDqA9VVSy70ybMCup8IiIKwyiDyp79peQ0FjtqNsxj1CEiedaH4Uj3ZztzQTLEi8qbnc5mS2oZEkKJC5d0wcVZZTpIEkVkKe5JT3kdjn2Od5DkfeZiFkMYTM/jKZublPhKtnP2SjZLwqQ30PJL/TNjWjp9TnpiSiVxOHqxHPfhWWc5e0bcw868y8NQwZtTVn1kAq74kuXpOXiJJoSbyqbLRBzK5wuVR9WYy9SxuwqdvZL/TR9APyZ+yLeTjKF5VZ95Lbz/OG2DlMyV4dS8uL6NYkJ1wprhe8ofjiIJJ9njxSbUlYbQpPmvjpJmVGQbagmZWWeZ1E2ZXZokpVPLY5+yI/LZiE0+/Wtdrn7yP6rWsqXoKkI7czOfi61jOvAGW/36mY098/HOPVkj/oT7/647HSgLfZ7NtEh66TrMFui6/s0DCQcuDtIl42vunxrChZ8Tj/7yjIhAu+h9/FiefeHL84N++G//QKwBGnDE8vvuvj5dl2PzpW6Ioiljxkb/sO+PRWRNBu7Z1xVdvuauyDJLxaXGTBUB/YAEwgJAAWHrmpZWgk8mOnLOCDM+j5hQmM8Nrx88pHTqnf0VoeCqCgpmu1Zpk3ldZURJflYfrQkUAM8FlQGGAZB30HZf+MNDLgfM+eQ04HTYzicy4rm6pZeSVsddyhpx91310LUUFSaeezSCnNmbdOHXJQKIgyWnn1S21F2CRDGyaNLNsOxLBTA4VTFUOkm+VVcuCRIBkgyxXftEcp2E5k8JAzTpI6JHwkDDRxvS7zb22pjqrzbgml7MueeZsE5ZnkGyT6LMszO7pd8wEUmjlGSq2j4SM/k3CpvrpbyLgJJvMLMu+ZeMS72xzkVkKC9aLWTL1MQmxyqVxK6JNX8S6ZwKas9kcb7xG9+J45fKKvOQjC7wsimk36veLT1pY6WP+fdOkmRUBlGdmZFtsW82YSDRwD1NuDxLUnEiguGdShn1Fv09hQeLPttH3ebaEZSHR53jVvTQ+c7tnH52TLyoXEwxsRyWUOAvBdsqJE35PscB+UDnpd2m/WRRRtOsa9XG2G/223iw3r1U/8h5KVGWxIDG2aGRb3H/Tlti1rbNC9rXUR4S7cm5/R3flHP1yrf7O3fHG5Q/2yfznz+je5UB7e2cBuLxIgoBn8HPNPtfgV/YTYHaAS4H27eyOU046OT44ZVrs+sb2+PY/b4/Of9oRnf+0I278+KooiiK23n5PfH5TzxKgttb5tXbo7I7uHd1xxtAz4ry3nlfuA+BxpGqXXdu6yiVATESoz65tnmIB0A9YAAwgLAAsACwALAAsACwALAAsAH6VALj/67sOK/uvz/1f3/XfLgA6HtoWRVH80s9ff2ZDKQBu/NinKgJgz849ce6bzo2W0S0WAAMAC4ABBN8DIGcrZ5nXFsthKnCI1IgYyAHzxVoUCyI2XIvKpSicOucyIzpmOXb9Tc9SoCTRIAnhVO/SUW3lJjEREgoBBcgsgEiuGPw1HShnzDJoGjffV9epXAo6OUCpjXlaj9qURJHCg4Fefaj3BnDdq6Yydd/1WL4hIqh+oB2IvIgEMCCr3iRWIt5cHqXf5vcDqF8okCQyslgRaebv2W7sO278JAGh8FEA1b9JNkikaHvqH/alysKlWLp/URxV9pOWramdSChkvySSavPZQ9tL0bRq7LzKcjMRhtsmt5btnJcKcDzIFig0SGJYn3UTqm9gpbihvZO0qX+4CZ5jR6RO12fCw3Gltl/R3PdFYrI/9RuXgdEe16P+XJJIQVgvYZE/i0a2lckIjT0JNglDLvHIwlhLsuTP+C4H+SLZQr2lIhR5vKc+tF35WfoLiQcRVb3ESuMlP0tlk42pzBL49IV6FsWkbFzL0JSQyLake2RfmscW+1o2VG8Zn8rJPVYUC6oL66bnyP44hlUXjgm1H8UUYyWfpXrkca26MJGRfZrGpGxV990EX0AfLb99w5j58dVb7orHt3dWiC/XuXOzrQSAzvrnG4HvvL/jiATAnfd3lHsH6r00jKcBcbkR3xB8qDf26v93PvRoFEURl7zv/fH5jXfEXbd+Lj6/8Y7yc/etn4vOh79V7gG48WOfKk/2Udne8qZzo2X02MrSowOpjI9v74x7brwn2oa3x6befX+0G+8B6B8sAAYQEgCtw6ZXnE9+yysz9MyskewzA3Pb5NYycMm5K1u1adLM+NzZfx6fO/vPy4GUibZOiqEoEAHgs/RvEQtm8JWpUUZRZRPp17MU/BRU9P85kyVyrTZgMOKMAduR2QISCpIBOXPVmQGO4iJno0hW2C8kZeojBgwRPZEGEjEFDBJftYN+vx4knLYgEksyqJMs1Aa0J92LAZYnJVGgiVgx86k2UlZXH5FrXav15iKXCtiql0i8hNaK5p4Nd5smzawIv0xGaY9qP4nILBaUmc4EnBk9bhpXmUgYKKJYX42xTERuP+vqSj/VIw96hmwytzntjoSNBI8nPjErqedQzJPIcuaIMwX1RByJlQgpx4JsjPaoe+YkgvqC40nfccYyCzsKAwlolotHCtPOZascL/QLFIQ8xlV2pftz9klkUVlezsZSgJHA0g9pFoY+njMWKqPsnuNf/UdCS3tUG1BsMIPNmQ2Scfom1ZdjTc/TOFFf6CSkXD4mLmQz2tTMa7PPpI/h0bbcxMu6cWZAZdXfKKpnDKkdrcuxrjpRvGq8UVxpnFOo0T6ysNC+vZWj58cDN22JXb0CoHtH9VSdcvNtR3eFYGsTMAXAA0c4A7D1q49X3t4rAcDsup7JI0ZJxPd3VgWDTi4qNxPv+EGceMKJcfGFf9bnRV488vQLt/UIgPaZ80sBsb+zO/b0LgE6/63/eyl6KseA9rbL49s744GbtpQ2R5+yaqw3AfcXFgADCAmAK4dOLwkEAyODX2JxOAAAIABJREFUaZ5+JWkgEZDzyQGdpJyEaz1+p2ly/Y4OVEGZooBOmaRRwZtZVBErkSA6cRJ2LoHQ8xmImJXWfZgVZ3nZfiI7csoKMiSnJD5Z1JDUkxwpUJKkkcSLmLMMqh8JqYiKRAM3K/M6kl8SMQoABt6lo3qW0+RTSHiMne5HQip7ZJvSLm8Y0xNUSbjUplnAsi1UJtoCgz+JLOtS710NedOmAjTJgZ7DWRJmaiVSKQbVniTf6uNMUkTIGZBEum8/6+o+S/tIDikCmdklmSTxVZk5s0Y7yEtFRPI4cyNxxmtVJm4OVptzDHAskSxRdLDN1XZsG9kpybKWoNFWRK40Y6j7StSSsGksaZyxvhxvFNuyBfWF/EpuG92bs6n1ssqyD7W7yqvrOTa51IhjQ5tJKUjli5i4YBsta1pYJllITPUslimLDsYakl49k2WQP6XPW90yrxw79WYA2N7qHyYimGWn0Fszbm558pxm2/LMCcUnx4NsU4klLt2kraq/KCoZK2WnTAhx1oBlkIBlvSQ01oybG1+5uecY0AMg9vmtujwVSEuA8nn6T+/YHW84zD0Ab1z+YOzZAYHRWTuTv887Bypr8msEnuJDR4OSoEsoTL1oSgw6ZlA8/A9f7XmbMDY1dz68PfZ21N4DMOKM4fHEv+4q73Prp9f1bgJeXr6LgO8h0AxE17auUgBo3DB+LR9ziQVAP2ABMICQAFjSdFmFlDDjzylgOiYFlJzRYwBmxlW/J1mSA1dg5hpGOjuSfIoUEg0SGyn0nH3n0X0MsrqXAo6CnabIs5NnZpXTwZzS59Q3gzxJF7N1G3uFD7P6Cji8VidhZLHBTF3O4mfBoD6cMaS9cpzjRogv3StPvev+60HouNyEhJhZbgZZBTSSCvWDnqvnKbtJAiT7ohhk5lhZXa4Jl0jNGXF+KGRIjpjRVpu3DW8vM3Rc5qXnsx9ITCjE1Fa5bXL2k6RDmeq8Tp7HmlJ8kOTkl46pTro/+1h2yuwun0UbZRZcsysSZyTKn3/9lX3EEYUvM/Mir/VEE21UdkPyyKwvxaDaQb9nciALfdqLsn468UWnAZHIyWdlMphn6tTmSnRwXMtO1Ze6XxZdtFP6FpJqnsQmu6GolqinT9C4o5+WMMn9oHvIPjkrpHc+UCRIUDF5pDqxz2Wf9Lu0E/pXCSDeV21DMUIb41ji7Id8i8Y0Z5CYgc8ClyJYbTZjSHsf/6I6U+RK4MoWdO062D2X5zHxkuMaY6VsTvfTewC4nEYzAHqJltbqd+/o+dSbAXi2s/uwTwFaecejlXcH5LP18xKbfNQnRQNFAfcM6D6dDz8Wo0a+No479riY9cGr4lPLPhEfbf9IvO89743XnHxKPN+1O+7ufQ+AjgH9y8XXx/yr58fgwYNj9Jmj4wf/9p14rqt27KjEwDMdPcKja1tX3H/TlrIfFNvLseoZgH7BAmAAUe89AMw85/WwDLYkb5lI0fEzWyqnl9ejK0vIaWcFnbwMghknlVPLZ2YMaS+JB52liIyeybpRLBwqy00CqyCSNxCy7VR/OWMFFmbsSCYZsPR7HqdHciJiItGhZSAMaHJKnFJnJopZL7WZRBxJCUkns4RZAIpkqI5sL/2e06acgfib110Vf/O6qyrlzFnJLNpElLLI1MZbTt1nIcu9BVwfzKVdObun+uey6VkkjpyR4e9lz7QFkoM8hjh2JLBIpPLMCIkCZ3PyHoBMapjVJbli9poiN88WcP06CZXKR/9AX0JxpOdxeYTahSROZJDEV2KN2Vp98owZj/akWNe9c8JB7ZLFnGyJyQz1J9uL7yehKKCt55k9Ejdm7jmulEggKRehz0vguKyOBHF9r+2zvBIx9CWqO/2j6qV9BXlWjDOOIqeZkNPXsKzyX2xfES61h4Tv5smtlWVH7K/cjhR99Lv8O2eycl+qnBQ8Em2MeUwk5RmlvG+GSRC2gwQlBZ3i3YaJsyr7OZSQYn1zG2gJEN98y8x/eaZ+R9837nIjrk4CunztN37pewAuX/uN8q3AvOe+jj3x1I7a83Xev2YbSO4lAPIxoBInXBb0fNfu6HzoW/HnU//PeO3wkXHM0cfEGacPjXf80dti1fX/d+U9ABs+eVO0t86P04ecHscee2y86x3vjEcffKQyU8E3FKvcfA9A9inrJ8yOPz35CguAfsACYABhAWABYAFgAWABYAFgAWABcDgCYH9ndzy1vTs+fsdj8ablD1YEwBuXPxgf+9xj8YPttfX8vykBoPX/uqey+Xm5UWX2gbMQFgADAguAAYQEwIdee3kl8ClocXpYm9y4LEBOUmtHZw+tTV1ralL3y0s35PzkxOhAGSRZHq0HlVNUwNDaa31IdHVPOVSRdjp2EindVyScgUAONa//Vfm09jOfdsEASwJEwqW20dS92lUBmcRQvxGZ1RIe1YF9qevykhCVUYFT5HHjpJmV4K0AlZdWqN847a8gT6Kjfs4Envs0VC8t1yBZ4pIPlZ2iQ+VcD1vQ3zgVzuUqmXRzCUIO2iTcFHO0bZ4qJeJJEqW+5zP1PctMEiyiSpKkMpAIankdBYjESRYVKhMFuD7sC/U7r9GyqkzKueeBbU5yyvGjf5N8q925b0b3o40xAcFxTRvNoo3rqElcKXDZDiT6qhfX1PPt0dqzpDKqDNnnkMzKf5IoMrkh4aykh2wuiw2RDwoAbjjO+xMo9rS8hjZOv1rvw30mFC0UFkxm6PmKDdnHamzTb2v/QT72l8sgcyJKNs2kB/tf/Uc7Y3mz+FYf5SWD3APAMawxy1O/aO/6bvPk1kqyiQkj9o3aJQtHCpU8tnKMoJ9cOXp+RQA829kdT+2orXN/pveFWiLgFQHQUXvxFv+/PLVn5+544Ou74nP3d8Z9X3s8unfUyPNzXd3x770EXCRcRFzr7PNa/3KPAMi61vprD0C5bAlkXv/WHgZ9/1wXNjanE4ckErjhWMeV6rtuiZWO6jGgFJPqn+mnWQD0BxYAA4h6MwBykDljROctAsS15wpkOmpP2RFm1eXAmK1hgGKmReUgmWRmn0JBgYiBU06UIkbZMJKCnG1VIFT9JQbYJhQxG7GWd824uZUNtPn8+42TZpbZdhIFBRySTT03O3wGYtVhxpD2kgyQxJDgsx00W8JslK5luUQG84knDMbMhHBNrAgQ+5sklf2ttlP78nuu06ZYoIDQtSIAOu1DNksSQdGViaqCPN/NIJvWcxik2db1xg/Jjp6fRQdF9DoQ75zh11ggSda9SCTVD7n/1bfap8F10CL8HFf1TibReJe9qr/zLIj6S+OBZeDsSc5yss6qL0k9x6F+IxI5Y0h7hUxyxiaTOGbROatCe2Zf5mTIopFtZaZbfaW2ynXMvkn3zUKKIpcC7bbezajM6tMHsd35nKYT3x1NJ7674mdZB9mR7E62sHRU9cQtjeMsxPKJSepzzvTJBlVX9i/tiGOHpJhjS9/RRjlzxLGWfUieKeKHIp19rjGeZ3rp+5nIophiooz1VaZe/cukGGekKODpmzh7wbGfExYag/K95R6A3s29JMT6N8l/3oDLzbrcQ0CxIAHBdfxa+19Z199R3QhMUaB7UnDs7djTZ2ZC98tvEn5qR49I4MZi/abeiUPM9uv5nEXgzMDj2zvjvpu2lH2t9lXbt4+83AKgH7AAGEBIAEw59YqKo2O2TU6TapckNR8zKfLAQEeSladlRYAUfJglZLaSmWQGTjl7EgQFImZhGcx5Ig2zq/y9MmoMWhQdOThpYyCP5VO9OQOggLhh4qxSLFAkMEhzmp/Pp0BisGJWTmQgizlen6fv335c7TzwQ2XDmT1lVlIEg3VQYFYgUrnUNmvG1c4hZ+BVxlFLxv7udVf12eCpPqKwyLYh++FJU8z66j5qe9kyia5sX7ata/XbvNE7L/GgGGR2Ms9qULxS+OalEhRz+bf6GzPKfB6JJomkyD4zvJm45yV6OYtKG1Gbb+w9SrVeRp59xBkR3ZezEBSpnKnJ/cmMKcexbEx10vV5RimLDLVnJrkiYxxDslVu8pQ9kCwqQcJN5MpgS2Spvip/njFQXzBDTV/IMUGRQ6Gs8tEWJAiykNI4ZoZZSR7Zisqv51DUHeqjMcHEEhNFTAjVm7Vh9lt14BImxjSKQMaxPLshG1W5GLf0m7z0UkmgHFOyaMof3UuCiuWSeOKLEnU9Z5+yyOGSKbWHXgSmjDg34JIgk6jz3QD7E1Hmy8EkEHhuP7Px2qzLGYfuHdVlSOVyoc6+swXahJtPEWJZOTPBzcGaBdjbsSee3NbzeTb9hsubdESqZgBU/wO9AuArN99dxu/MAxaMsADoDywABhASAIubplaIp5wzHRUzpgxKzM5zOcba8T2nIWQCril0OTNmNri2ks6cy2m4ZluO9uKTFpZOVDMPCgJ0zMrc5QDJrBhJWibOKlOeupaDz2vESX4ZhEWyGOj1Xzl8ERW1GwkKp5sVoLkki8FXdSN5zvfTPUWCczaNhFSkSyKGQZrPY9DW8zlzlLP9IjEqN20sC0SRJGZPmUkj6dT3sg+S/bxOl8KJb16VPVHwMNPN9hUhZD9w7wkFE9uGz84kOWeN86xaFo4k/xx7FIUUsBq3eVzRPphF5VhTf80e2l4hybIZ9o+y5iQuep7qxxmSPLshIp6Jq9qdez9o9xRneibvTfJMUU5Ryhm/LNBI4vk3EjwKFgkF1nfDxFmxcdLMynseSHBpp0wu5OQG+5rChdlj2RtniDiO6bNkv5y1ytdx5kftSrGgscB+o5+mL+Q4IaHW7zkDpzanWJCd0IewHExkUSzxPRoi3LldZGMcE2prncrFpX5Z6OZYohjD5Uzq63ySEGdd6AMkuDlTrXpcfFLPONQxoPXIM8/WJ3nei6VBJNQi+bzH3jon83Cdfz5yVMSb+xHqzThIhIiYV2YQ8Hs9nxn9/Z199w/U+5Ds70X78G3EmgHQKUD04frMGT7NAqAfsAAYQFgAWABYAFgAWABYAFgAWABYAFgA/KZhATCAkABYMKK2CVikTc5SgUOOR8RWwYPBO5NbBiWRMjlSEX++zIkOW8/RfXm2NEmgArymz0UsuXZZQUyBQsF1RfOCMuAyGEuMZIdNEqa24cugOKWfgxiDG5exiPxrGjvfNwcRERAGf771kYFefZnXjooEkKxwiZXaRvfkd3yLLp2hAhmn+FUvkgM9X7aicul0i0z2RRxVHpEOPp9iToKI9RIZy+uoabfqf03tr26pnbcv4sa+zMSbgkpvdc3BnvXidyQHbcPby+Vn2hDO8vJaEhuNHbZBFmMac/n3/C+FGO1OZc6iS4FwU1oGUW+pkpZbkGBqDGbBne2DiQiOk+x3SFLVLnyWloCsx/dsp0ysVrdU3+AsEqolOOsmzI5Nk2aW/pHEQHZLcsZkB4VFvcQA60S7lK/Ub2hL+g195aFsnb/nGOKmdiZF1LbcVJyJrdqI/aK2Wjqq9o4D2hx9tcgtfafscVlT7eVgatPssyRAJFr0HPoJ2lQWT4o1eh77h8kP+SP5Qy5lkl1mcaQlU7TH3E8U5Uyw5D1PTKYo3vE9D2q3Fc0L4r6btsSubV3xfNfuQ5LiA53dfZbE9NkD0NGzTOYAyLgEhF7AVb7xt7P2tl+d1KPPU3gzcOXFYEmc6ISgvOSoHnmniKAIeQbiQGXSEqAsbPKztOlYAuDLN99dxu6c7Frc5PcA9AcWAAMICYD2kZdX1mIrsNPRLWtaWCHOcqoiLQzSJJz5iEZm2BVMmdFghoenXzCrnYl5JsTK8OaAyufmzH0mZ3LqL8wdH/umvzH2TX9jJRvG9d3K4FE0cb2xns//Z3BVe7G+KmcOGiJ4bGOS9dwOOdAwODBQ6x4ktSKjCogMipxlYb+LfPKEF9kJAzo3SDL45ZM82N9c/6t/18tA5uyM+jsHfmXUmDmj2GVWPpMgZo1pv2oH2huzzFw/TFGYx1XO8vGFTCQyKj+JLwkmN3lKWIg86CQoPVM2LaKjTC0JYbYRkbpsd5rdU//LBpiBJSnXeKCNqCwUQHm2TqJY451ZWPUbRYvGQPYjFJVq+0ysVX7WVeOPsw60L9VL5ZKN5NkYziTwhWpqSwo0+UfWl6dHaRxxMzsTDhTFrIfGLE8CIyGl6OM99CyNoSwm5b/Yv/KBtCXaggS7ZnVUFwoVzY5QYKnvOH7lGyhK2E/0y7JfxiZ9uNeJtqTfkcDLN9H2uM6fMxCqG9tM7ai2VZKHs+YaS6pTPR+yonlBeQqQTsvJRF3CgG/B1YxAPaGgzHzlZJ2O7sq6/gP4rt7mYmbvOaOg+1f2BdQpx/M4YUgn94jY5z0Le3bW34TMk4S4nyDXdX9nz5uAdQwofaH+/9rmKRYA/YAFwACCx4CS2MihMUOmQEQHJnJKssZMbSZcdM50mHKmcvjMnugaOU9m+Xi/PEU9e2h7uRFYn/UpUKgMIto5Y6R7M+gw2ySypYCVg4eOCGTAUBDMAUhkSW2rgPW5s/88NkycVZk1UQDWciEGIQZZEc+cZdP9SUhFKkiw1b5cLqGMOKeuFfCYyczCLGclRcBYVhFVzQqRlG3q3VBK+2S2S3aoe9bbnLxuwuy4/ayr4/azri7thUJMvxVhUHnVPhJpJCbMumYSQRthO6g8ytplsZLHDt/wS/LLvpLdkfiJJFIwsV4iPspia5yIuLIc+q2ELW2EJJHkRmOVJFVigSeeiHxyrMie6gkABl5lQ2X3nJnhGGafSLjowyVd9Av6jst4VI7sV0jsNS41C0ThdsOY2ixe9kcqb056qL1oX5yt4NiV7+MSLfoG2jnH76qx8yoHJ5A8MylC4k2/wBm+PCbriY1lTQsr72qoJ3jzrBavoeinL6XNsH00NnLiJAtzJW34O5Wd7ayxpz7MIj7bLsUXv5OgpI0xzrDPOXvBmFQvYaB+XDNubnxt3V3x7V4BoOMteR7+PpDnp3fuKbPkOhGHmXIe61lPHJSkHsJAmXQR+rxcSNn+Z/H/EiAqD7/b17s8iWV5vmt3Sdg106CZhwOdPUeS/nvX7vLtvqz3/tQOnBWQcHl8e+09AJyxUX/4FKD+wQJgACEBcOXQ6RXnwQyOPiRLDFpamkPnxSwOnXA+YUKBX5kjrr/l9LGmkLPzy8sUGDhzZpTEmw6bpI/BS2XntawvM3qsP0WEsqMkGhIzOfvI7KoCDjPnzNLlF+Uw+LFN9G/ed3PvsYKZIDJzrfKKCPIEHgV/zlKorRQU9d1tk1vrHg/KtcLsD13D6X8RZd6Xx1YyoIs4ZEKuIyJJytV3K5qrL1RT/3M5k7KMWSyQVFIUM5NJQVSPxOXfzxjSXv6G42Z1y7ySpNezf4pitTfrwNk3kgdOZfN9CrSd1S3zytkp/k3tUm+cs784NtR+epb6XmQ5kzMKH9WT6+RVT4pxkjCSUZVNdrpuQnW9PTOuImF5aRvvRfIsmxORVhad7aDr1He5jXjPbJe0I/2bgigvCeLs1W29y8g4HpidZ0Iij2u+2IuzIBS/+Qx+2iVnNDkbI/uTDbEfVDaSfM1IZuFJgU9fQREj++T+FAoKEmv5JYlu9rcSMfRNXO7DOkvM0gfoOvo8tndOkLBtZK8c5yp/nkm8Ycz80o+saF5Q7gHQ0ZbKiu/BEaAi+8q462z8vCb+aSyL4dGazNbnF2xpHX/3jtosQM7qP7VjTx9RwesoQHLWXjMWKj9nN/iOAdbt+a7dtXcEIPOvmYfKMqfOnvcAPHDTlso4ot1YAPQPFgADCAmA6addUQk8nJ4USZBj1YZbBWM5bTp6BYlMnuXM9SGRXt0yr5z6ZpaOSxAyiSKJYDDThkQ6WzlxOXWVgVPa3C+g6567+qzYPeXc2D3l3HL6lYSzHpESeWOmQG1BUsPyiwzwvqyXjn3TtSSY/B0DisrATBYz68y48rmZTDK7xI29vK/KkWdHVB6+DGhZ08I+mTOVQYSe4kbtyEyjAvTK0VXiqrZVeblsjBk1rtXNtr95cmu5bEIijtlCCktmhtWHIgvsqzw7pgyxlm5QFKud1QZ6wZ5IwW2TW+O2ya2xdFRbXHzSwopNaqZDRJmZarUFiYIEM4+UpAiijXGJCMUcSTCJjcpRbyZEz+HSFPab7pfXd+dlGKpHzjDLP8kXyW5kLxQbFOEUeKobM8JcikVyKKHLJU70kST6HHuZsNPvyi5IoHWN/JTId7Zl9rf2E9H25fOy3eo5JLkqZya++p2exaNu+Xw9mz5Wts52lD3q2uwLOcvAtst+V2OCAoL+MCe3Lj5pYRl7KA7oF9k+9ZIeFMC6B5dSLR3VVh6KkQXIywc/18eHy66Y1OKL7PThuwSyL1JZtAeAa99LAdBRXTvPZTV5/XzlhWCJgHMTrTLv+0HYRcr37Ky+aZikXEt1ROZFyp/eWV2Ww7X93KegpUClMOmo/bbezAWFA8vKa1XPXdu64sFb7q7MkssXbpw003sA+gkLgAGEBYAFgAWABYAFgAWABYAFgAWABcBvGhYAAwguAcrTWqtbel4M9fbjZvWZ7iIJYkDTh45TH5EoESqekKEAqeDADU4k6gp+csAUHCLyDJYkmArwDPwawLqOgVd1IIHRFDQJG4+qXDW2Jkp4JCCXC+k5JDYihGxHBeqVo6tTv3zREI+u0+9URwVTER5ujlSQJpHSPRhM1Sc3jJnfZ3lWnjrnWlyVZWPv6Si6j/o6LxsjEWBgFfEigVc7i2BRxOj3tBGWjSSGhJCkj/fNgpACisuSVEfdL78YSISHx1/mJTQUwiReGnvZ5vUR8ctLV1aOnh+bJ7dW7pvtQ31LexDZ0TId1lsiIJMN9R3JrMY824zrz1ku1UskksuB6Ff4Aqu8jFD9yGOIdQ/ancpMm6B44Ufjj75BpIp2Iz/B5Y1chkUfINEnkl1P8OSEQBar6qO8HEy/yWNY5ZXfkA+gLagMujefJcHEfqSPpe8R4VYbaKypL7msSmXhWFFZaTcSWGwDLmfTkiaKVIoNtY18OvuYCQYJOMUa+XclfhgrZBO6N/t/WVNt8z37V2OGY5xjmsmYvHSTfnHjpJkVUav+YRvSH325dwkQN7nmjbla/8+Nudw0W2787awtsyF51sZevoCLa+y1lj8fJ0pxkd/wq2fuxb/3pqVKz/aKmf0oFwn+Hqz55zNE7lmefLqQ7qFTgPQiMCYRNa69BKh/sAAYQPAYUDoUObF6wZDEiBtQSbDkmLk+W6daMOjRMeYsmQIvs5XZuSlAkczJwSrDrt9r5kDCImfJSWaZVWQZFDSVtVWwIAlVRoAEkQGDQSdvnmPmjWUicWSb6Vodwah+ExlkYGXwZ38pUClgMsBxHSwzegqyJPGbJ7f2OXNbwUxZdfYP/657kSywzbNQURkzeVvRXHs3Ae+b7SqXg+XliSJc26y2J0mmnVFgZeJKe+GzKQA0w8M2o52TYNEWVCYKgHpiPZM0XZPPvRd5UvlUhiwaeD/ZXdOJ746mE99dKQf9yNrxPZvYb4MtUBjkfs++QmUjcdV4pPCRT1D2XB/NiGh2gsKP99P969mYiFlOhOikFoqTG8bU9jbpWo0DiiXaV64b/TH7h+3Lma4VzQsqBxrIx/GYVrYT+4HElN/LF9CmZJ/0Dey7nITgb/Q7lTUnHNqGVw9wYBKE73qhUKTY1ozxjCHtMWNIe8VOcvxYOqqtjE1s/3oJEpWXIkbjhm26HuSfPkt9ROGoZ7C/KHDYJxx/+l4b0PO4vmFMLbn1xbW1GYAyg481+vnEG/2bIqH8TS+ZJwnPx4JqBoCnAZHUk4CLtDNTn6/LMwD5/QT7QNZ5EpF+kwUDTyMq9w501ERQvb0Nu3AMqGYBmYzxm4D7BwuAAYQEwKJRUyvBQMGTgYhEks5dQYwEkUSdwUHLhfKGrzz9Lwe3orm2tIhZcU4j6175RA1mvuSUdX0WAKoTs0C61//3yNnxi62nxy+2nl4hSTmQKXBRCIkYMsjr+MU8Y6FgS6Iox543lHIjI/+tzBGz1HnWI5MNkl9dz6yZ/paXW3HmQ/2Yl51QbJDsK/PL9szLDRgQVWYKNJE7ziyozsxcMxudM+wKtrQx1UPEgQQ6ixDZO9uSwT/XjVljLgsi8VQf5E3vsjm2ueojUqv24IfEKJ/UIhFK0pCzz7RdtafaisRcfaLPxSctLGf7VI96Nkp7zEswso3S9lQvbYpndpn3ZJuwDSVGlMWj/VO4iFwzO8tlirQnLmvJSYQ8y6REhPqNdaN/VB/Qt6jv1Cerxs6rHEnMGSXeWyKT7ZJnJ5mgkI3LH/KEKb6nhHagNuYyFSZPmPjJNqPYo7bnqXD59Cn1lwSN2lx+OJdHbZ/j2ormnkTVxSf1LB3iO0cYq+jH6PPoL3M7cLyp/fh8CgwmwHIbqd04m8iyU2jJ/tgG99x4T3T1CgAR/XwKkMguN9OKTIsQc8kQl8qQaNc7W1//5QlD+RhRZffzKUH8b87Oq6z5vH9e+2xnzwZjEv1SJHRURYzahUeUaqbi8e2d8bef3lL6NdmC+upDr7UA6A8sAAYQfBMwHQ2DNrOZci7MqOZspL5ndpnBbCPWsSvLIaeb70HSJWen6WCt+VYmL5PRPCuQA6fum19KoynVekGSy4tYVgVDZmZIYEiW+De+aVbXsm1ZRgZkiRRmb+uRVAVITkUzQ5XbIZMz/T+DOZdocUpexIIZTAVxZq+YVWZmleRLIknHfFJwMUBm4lpvBkHkhqJF7a+MIEkIZ5ZyFj/PUs0YUjv/nEseWH/1i2yHMwUkeBRiIqsiJfqd7JoEk1lBkQplKbmUQeOHolxtlU+lYjY+CwsKGJFLEWTZhMZDtmM9T/UTmWbiQHVTu+a6ccZA7S67zEkMkjGKz7w8kKIgZ1w5JuUb1vXap2xDs21MYmgs0r/pXhSgKpdsi8mHTGizf+PpRTwthuOTJJKEmMkDEVy2SybJ3MND8qqlOSq3+odtuLD1AAAgAElEQVR+u96MhfqN/oV9y2SPysz65hkKZfuZWZet8n0I7B/2fU4eyfdRxDPe5Fky+S3OOmdBrfbIbZBnkbPg5viVrWVhTl+ufld9tASo3jKbvO6dS3b0d5Fhfde9o7YcR8t+8vn7/G1e0lPvyNB6MwX13knANxbvw/0kZPJRpjzOVAJALxjj3oRcRp6MtLdjT+za1hn33bSlkpCgb/ASoP7BAmAAYQFgAWABYAFgAWABYAFgAXDEAmDH9+P5f7wnfvyVzfH8P94T+3c+OWACYNvXvhlTL7o0Th9yegw6ZlCMHzs+PrPiUxUBsOdb341r5v5FjG0eE4MHDY4zTh8aF77zgnjk/n+2ABggWAAMILgEKC/hydOtCtQM0nJsHAh0dlz2oSlQOnw55xwc6NToQOWQNZWt56l8dKwMsqvGzitPZMjEiEGLgUjXZIKpcrAODPYkSnLEaguKCgZqthGdi0iFSKACwppxcyvLJdQ+IgUkO9wcqI/EAcvGZQ4k75vS5mRNNasd1oEQ6ZncyMllYnyWSDCJivqX5SVBUruoDUjUSAhXNC8oy8C1uiuaF1T2aOTTYHTvvDlR/09CsB7igX0m0pqXQskmaAuqfxZ+JFkUZVnwSKRR8KitZEsUNlo7TQKj+3FMaFyIvPKt1tmWuPSApJH/JZFbOXp+RdCy3Ky/2kR9xSVaJIcae+ojjhN9l/smL2PStVw6ReHCfSEikiShJJYSLxQFmye39hH2q8b2nMefhTT7QQKJ/aH6s53YfrQN+XDVnQcUUGjQv9Uj8Br3GlPaXK7nsw4UZSS3KgeJu77jBmn5AdqC/EVe5kmBwfbLySku/2M7yj8yzjBJw3pwLwLrIMK/dFRbRYTpObKnvBRN96e44NJLfZfthoknxUi+8E1jQ7a+orn2JmAtu+Faf739V0tdeAJPXgKkpTdPb/9+/OfffzRe/sSYiOUnl5+XPzEmXrzro3Fg55PlEhstK+L+AJFynuCzt6O6eVfX5TLwxB4t39nx0LdixLAR8drhI+PD86+JG677X3HB+e+KoihixeJlsb+zO/Zsfyre/kdvi6Io4k8v+LP4xP/8WCxtXxJv/6O3xu1rb63sOWDbSKjs2tZVCgD5MI57C4D+wQJgAME3AcuQ9cZdZjXlmEV46cjoaJidyuuN6fj0nZwps0gMJMxeZZJV7+85Y8uAKCeqwMcsaCY1JAJcb1xv5oPlYRaU2a0cXCR88kkRImp6htqeJEbEmXUlIWe/5WDL4EmCQ0JBQiciS9HFcpEkq01y//J5zIxyNkU2RVLA9dkKeLQPEkbWTTZIQbtoZFt5NGzerMvfKoiqr9hvehZtX9lZ2oDIGgOybIfkjm2eRabsjuSDxCbbNG1Rz+f+jxvGzC+JNAUeCQVnZlQ+kmQRppzZzMRfhCvvRRAJImHXvSTO8+wOCaPqyf5gm4p063uWgbMYHGvsS2Xy+SxluFeNnVe+QVr11JGOK0dXZ1A2TppZyUbLjjjmVM88W5eFn+xJdWCdM9EnWSchpmgj8cwnNN0wpiay2f6yxWzjrBfHmu5Pm5CPUjJAySD9nv5Cfjv3MRMEihl8ozIJcbYdzV5w3HJM5VkmPZNv/WZigmOaCSvdgzGFYpCJC2brOW7pv/kstn8ec4wbrI/6STMAFADMviuzX28mIG8E3r/zyfjZ+vdGLD85Di4/pSIA9O+f/9X74tne2QDuJ8jHd/JknmfxPG7W5RGjKq+O+tTvp79/agwbekZ0fWNnRSz82f/4szj5pJNj96PfjdUrVkVRFPGXH76uJPrPdXXHD3c9Ff/e9YM++w72d+J0oY6eY0B1ChDjXtlnZ15qAdAP/F4LgBdffDGuv/76uOCCC+LUU0+Noijis5/9bJ/rrrzyyiiKos9n4sSJfa595ZVX4pOf/GSMHj06Bg8eHK9//evjzjvv7Ff5+B4AZlrlaOnoftW0Zib6+Xpdw02xmbjqhAdmrRSglE1iVpPZG2beMqHSQJUTprOWmtdZ61wSpHqQNOiIR07/K3jlKWMRK5JkkhAGARF9igdl3hjg6mWXFKhzm2kpk4iqAhGDdBZMOfOmwK3+lGjLS1/0O7YBiQ5nTVRetZ8ydPoNySiFJm1JbUxhqeCr+ikrl4UlCXom4SSx/BvLz+ymZht0X25u10fn5r/9uNp1sv9MkmlvLIuETN6oSoKlclKss27MDK4Z1/M+Ad2DNq3Mp4TE2vE97yLQ2JVN8KQrvp1XhFV/49KgnCGm6OLGXNoPCZ1slvVVf2fyp2eRZGeSJ/9G4UZRoHYkGc0kmdnnnJWvtzxJ/cwyH0oUMrGSZxk4JvLyNdqU/AbbgUttVCdtqM5+Qe2QSaZskRl1ihb1rfwYZ1loq7yW7UdBmkmu2mzGkB7frXrQF9Fnqi+YweeMFw+T4KwFTwLTcaN5ZkH+mWNiWVPPpnbOFC8a2VaKCYo9JnZWNC8oT9fLtr90VFufZUbyo/TbWTjfu7ZnEzCXuXD9vk7V4ck6IuT5vP2f3LW0QvoP9fnPu/5nSfh5sg6PG80bhvOz9veWTScBPd375mK+jfjZjt1xysknxwenTItd39geXd/YHjse3hE7Ht4Rqz/26SiKIrbefk+86x3vjCGnDomnt32/sumYG4YlQPgsCZhd22tLgHRABEXbolF+D0B/8HstAHbv3h1FUcSZZ54Z559//i8VAIMHD46/+7u/q3zuu+++PtcuXbo0iqKIWbNmxa233hrvfe97oyiK+PznP3/E5ZMAeOfx0yrr3DmNyUxGzhorQDCDomy+nBczVfpe3zETm1W1fs8lCcxO5wwwgwNfjEOisKn3XHoG1hXNtWPz6gV0ZqLqZWzlxLU2lEsmRH4Y+JVZ4r2U3VMGUYRRbcbsn2ZomO1U/RX8KCJEUDljkNuVdeB6ZQZhLocQAcoCi0QzZwVJSrg+mzZG4cLpcNldJsTqRwZZkfFM7mhnJNnqL9nM5smtZeCn7Siw56VfJJirW+aV57yzfzVGREA0q6Q6UPCtGTe3JBrMiPKoS9qnCDkFt4iU7scZumzP+ndelqMAR+Ene8gZfNmMnqVjGHN2kv0oXyPyJbvNdke7rTcTo7KpT/QRSdLsj8a4RDbvySVAmaTrvxQmOvKW/aAlcBw7IgoasyR09H+ZyHGWSuIqjyuKULUp19HTdnUfigX52CyquXSKS2aY7aRflTCUj1IfZ9+kRADJvPqfsxAqf15GpPpzuRBFYj5ZLu+PoBCol0nXZ/Pk1tLv5/7M/lUJFY2renvemHxgDGR99Tfu6VIf0Y9IvK0Z1/d9GZxdUVupDFoCVJ5t39l3Tb1IsQg5T/UpM/Y7n4yXPzGmT+Y/fw4uPyVe/sTYchZAz9SyoEzyeXoQRYCWIvElZJxFONDZHV0Pf6tu8pSfzZ/ZGOPGtMQ5bzinsu8hL/fROwU4C6Jy79rWWb4IjIk8+Ra/CKx/+L0WAC+99FLs378/IiIee+yxXyoATjjhhF95v3379sUxxxwTCxYsKL87ePBgvOMd74hRo0bFyy+/fETlkwBoH3l5hXAxQ5Onqv9/9s48PKvqavvROhQUFSqKCIaEKROQQEICIcxTCIEwjyEMYQokaBHFqZaX4ktLsaCFSkFeqQhSEIc61apVq7a1IoNoW0VRcQIcUZlhfX8k98nvrDwo4er30a/vc67rXJDnOc85e6+99lr3vdba+9DRMhrnI7aFdcKlEXIK3I9azkFGzDsHRoI9+WBUX/8SPAiscoGaJq0cF1P3dAYEjB7oM9IpIFdYp7JGmo5ehpvlM2rb4qaTQ9EllSzwvpJJab2yoKxAToT31/oMXU/SpfuQILHkRjIXEaLD0fsHuDiSW65SR3zUjREs79j1HQEeATFB6qImVReecnEzQSOj1pKjInciUuqb/mbkm0SG5UJss/RGIFeg0BMeglgBKpaTMepJ+bI/vhTgjuYTQ3u8+7IQyVCEg8CVUWJmpARWIu3z7iPXio4SxLDdkbINrNtmlFf9l+6pzYzkcjw0Jj5iS3JEkMxtEDXPqBue8Pu/fUaGMvP6zGyDJxaRgD+Jg4/KC8wxOOKzCLJ3fp4IBJLgqh2erKusk6Cea4Y4zxjtVx9I7P0cZkCIEXG2IRJolZ7KzrFvBNrSTemy1xvaCbVbdlbZVp2+FFH6ovZyfjEgIVtLkkU5yBayHNaTapI1H5TydlfXqQ8KFDFjTdlonArrlNnGReUZgKB+3p0e+PMalgXteXLDSUX/dX7y5PrgmcwABC8VA9B+d8u7ITLCbARPkRiVA2156iWLiYmxAXkD7Le/Xm1rl91j9/56td3769W27ter7d5lq23r05usSVxjy6ggAOwvdwza5bICWgD84dbwi8CYsZbMo2sATu34jyYAPE6GABw9etS+/PLLE95jyZIlFhMTY6+99lro8zVr1lhMTIz96U9/qlabogQgSgCiBCBKAKIEIEoAogQgSgC+iwDsffTOahGAzx5d8X+dAOx65S07/7zzrX/vfrb71fAbhlW//8HWd61bRQnQOy/viBKAf6MjSgCsnACcccYZVrNmTYuJibHatWtbSUmJffXVV6HriouL7bzzzrPjx4+HPt+xY4fFxMTYbbfdVq02RXoRGFOnBBoyMDRQBFH6vSYG05g0bjKCLMWRYaMB0w403knLmagt+h2dv4y1+qOSJhl6kok5sdOCt3OyhlN/exLiARcdpMA5U/M3NQy/7EfPVF21FqfSYbN/dzSfGNotRA5KgJI7vtApqY8sFxCQIMEggCcB0TWSI5000/vUBYJFyU9belLmBMlsqwADiSPJn5eNHJ/0KZKTZskR26uUuy81kEyoT7pGwECOm2Ub31byJB3g/JGu6PcEK/rXl7NwnKXbXsdUfkTQLZnoORwfAl4vc+oHyx9I8iQXrlMhQNK4SvclB08UOZ89SIoE0n0JG2XkdZWykY57IMd26zMSXT++AtAL4qeGACvL+2QneF+Wj7FUys8Hyd4vYCUI5LiThJOwSG4kTZEAKu0o9UagnJ/p/tJhzmvpEnVUNp8EmCSEJJXbO3Ms1QeOv/SSgR7qEUmIJ7zSFcmTOiZ5ewLH0j3pleYb9Vg+jCVLmpOe4EnHSIZIjvz6JW2+wBczLmwc3mrW2+GHb1tv2zdtC2/7ua1yca7A+K6t5S/7endL5YvBSAY+eXJ9tQjA7j9sCEqL3tlcfqqGf5cjBCcqQ9I2n7z2vYo27n11p+19dacN7TfEzjn7HHv6vt8H25Vq3cHWP75i72991xb918/KFwHPujG0Dep7W961dzdX1v7zO25Zun3TNntw8fpQoIi2KVoCdGpHlABYeV3/tddea+vWrbO1a9cGi4Kzs7PtyJEjwXV5eXkWHx9f5ffffPONxcTE2OzZs0/4/N27d9v27dtD5wMPPFD+uyuGhIyaHKcH6nKedPSMYgsUefAlJyGDqkmjxbc0fASxBH2MSvkIswwgnR4dBCOfcpCM7ureHlgxG0KHzB1GCCxJOASQZbDpuEQs+DxGMdUeOXpG6tRvZjx8dJRRNmZE5LwYySRYiRQ91PMYESVI9CCOp2TsF2arn3S8Au+6nxycdE7P1smdSdRvgXqSkTuaTwytSyEA8VHbhY2nhhbYeRmcaMcmto3XU29IdNhXn/EQqNLY6Z6aFyQhktuKxAlVSBAJ6E0Np9uyhOJAX/19Nb6UifTUZ9A8GBQA8jpDIkoQ5DNPIgUaY0ZiNTa0Tf4t2hxLgh6OLW3THc0n2qrkcaEsDGXPiLzuyaADdZKgXsRNYJx64G2W9JT9ZftpKzgffJCG2ZVI5FjjoF2WOL6cj/PjSkILzTmv2Q4+Q+3l5wya+DmkQAvXY+jt7LTb0hESAx8o0LXUR9qGu5LGV3n3wlLYdLVB95vdoDT0lmS1gYSSmSXqqNrK8WfUnu3jGNCncq5Q9p6ISY7+Gk8WJDON5UO3rbftFW8C1oJfgWwtchXoDQgAdgcKovebd1RvDcDmNyuj8toGFJF3bg1KwO13B2JUX/cgUdj89MvWoP7lVuP7Nax41Dibd+N/26zSa61vzzy76IILywnHK29Z+/Qsi4mJsf698+2W6+faTVddZ53a59jKxb8OiI7IxbtbKtuza+u79uqmVwMC4OfpnNhpNrneiCgBOIUjSgBOcMybN6/K4t6uXbtaYmJilWuPHTtmMTExNmPGjBPe7+abbz7hIpmiuiOrGCYaVRkpAUgZdRkYRi8IWBktlOOKBIJ8xJTglADER1c0GX1ZBVOzjD7qWQW1Kh2ZCAiBBLMN3jHT8BKs6zq/FzRBmPolJ0KgLmeh1LScG8tzWHoSaRy8g9ELoUg2tDOQj+Czz37rOoI4/daPCSOYHpSoDd45kbRooaSu1XlH84nBdn8ERtQXRvR8lFxjHkkfGcWUg5XcGblVO7U41xNQngIWJDfUUeqUsjiaYwLubA/Hd16jyi0zJSuBVgJfjYWf09othe0lePD9YjmF7unJnWRMYiI9YQkNo8VLmlW+6I26zIwEI7QcS13HRZAsceH8lK5yntHmkFiI7FB3RTRFxqWbLD1SsEDX6jrNb5Lr+XHl43dH84lVdpmaH1cSAFBdu7TZpGC7UU9M1QcGRTjuDKb4OcEAgnRtaUU/ffSYc5qEiXIiOPf2StcqUk8brXJKn/WRTupz6Q11WuPmszeRiCfbQD3VdfxM844LbEls9F4UHwGOZPdYUsnFzMwAkPxJTxk0IhFT/3ypqO7LHYK08cPsBqX2+1+us9de2RZ6Y+6urVXf5Mu99T9GRJ5lOfvuve6kov/71l0fWmxMAiAAz+cLaLPcR23ly8jUHr55+MOt79jmpzdZ0bAxVr9efTv7rLPtkovrWk5mtv30R/MDwrPzpX9Y2cTpdsXlDe3ss862uhfXtb49+thfHn0uyAYwAyDy8tG2d0IEgDYqIF3RXYBO6YgSgBMc+/fvtzPPPNMmTJgQfPZ/KwNQVn94yKHL8dM5MeJDECUjRWPLyL5nyx7oy3Hy3gQV/L2PUMvp8wUyitIxqiUHwKgYDawiqTKgMrKsG1aUkpEbRn/8KaBLgCrn69tDI6//CyTpWjpv/zs5E/1Np7AgvrxEgZ8xkkSnpR1sGNlm1oDlJnKmzKRo3HitdkKhbARyGcnV8wjOBSgEpBi5I3Cm/ARmCSr020ikVs5SDp8RY+o93w5NQKzf+DIvD0Z9aROBDH/D7Iwfxzmx04JIvuYPybnkFYmkEtRRNsye6Ps7mk8M1upE0k+SRJam+Wisz0YQ7Oha2RoRQF5LUiRd0RxgbTUBN0k5M496DgkHiYYHnQTSCjaQ4DAirxcxzWtUYquSx4W2E6a8mdGQbJgx9GRdJZa+rEv3nFm/sqzHg3bqAAGh9Fuy86Uz6jflQB1UOxnt9kCb+qG+MgChaLx+Q0BOIhgpqKRT81738FlPAuL5cZVr0vwp+VAOuhcBtu5FOVHnSNylM5x3lKkntbRh6pPmA6+jb6VO6TfefixPKLZJdcuCXYD4gi+W3DArwO03g51wtgKMb37TDvyq77e+B2D/r/rars07AiC959WdQRbhYxAAEguRBa0FUGZC0XiCfa4FCN4dsLVyxyDeVy8S0z3ZR2Y3Qv1FNoDvAdjwiw2BzZOPDvx9lACc0hElAN9y1K1b1wYMGBD8XVxcbDVr1vyXrwGIEoAoAYgSgCgBiBKAKAGIEoAoAfhWArD1HXt/8w7bt+56O3pLvHsTcLx9se5627V5RxCtjxKA6PFtR5QAnODYt2+fnXHGGTZp0qTgs1/+8pcRdwG65557LCYmxp577rlqtYkEwL8oSkZWzk8A4KaGlfsV6zoaNBl5gn45EQE7gk49g4sICfA9gPG1ygIIch4y4CxV4SJQXUegoDYR1PvUtncwupbtmNcovHsGAZUWwupvv7ZA4IbOh05Yslle8ZIYyokgUHIlQfILNCUjkhs9h3vw697sl56jBcUEqb7flKdS+HK2csy+L35NiR9TjatKYXgNiSAdJ0kMdU9kkfJiuRLBhtcbOV3v3Flr7EGFyIgAHNvpT5JqzitfX63ncJ7MiS2vg17SbFKwW4gH45KJynVIllX2QgBEouvbStkJHEpGnmRyDAUmSaoJajx41L11X4FvAshIJJ+lZxpb6g3Bl671iyoj6TJ/Tx3zYG5Rk/BiUMrFl4Nw3pP8s53cK56leZQzSZv6oLGUDoUATP3KdVd+Xs+JnRaQHP2WC1OpU5Kt2sI55zcziGQzNUb0DZKTt5mSAV8EpnFh3zXPlzi/xPFjYID7+7MNarNsFN87wGtnNygNbDx1QePGdwVQniTQfqG6+svdrWgrSAI1Z/RcvQlYL9Dye/Gznp474Whf/tCuOgDhH2150z59ar19+uid9ulT6+0j7vu/NfyvyIBq+wm0+Td3B9qF/3PNgn9/QdCeCtDOHYeCdx9gvYHAvoD/nld3Bjv+vA/iInLx8bbyXYDuX7whCHz5YEp0EfCpHf/rCcCBAwds3759Va6fNWuWxcTE2MaNG4PPdu3adcL3AFx++eWn/B6AaZcND0U1BKzoxBjZYV2+JoKPAvlIrqJ2jNgxWsXIS6S6bjonGmU5Nxp0Rby8A1TkizWf7AOdXiQAo2ii3wqUNcI02IyWE5D4Wm89gwBJRl5RPgIiRvBpiLgwlrJhhFhgYV6jksCJedDB+myNKcGhCB31Yk7sNDuy/Bw7vPjc0JhJbgJr3NVETp2ZFK8juoZAQ7qivnG8BBK49eOq5HFViCSdNskgdYMEi7+RjEmKmTXwEWaCFZ7MCvFU9NK3lSRU8iRw0jOY3aFO61msFdZn1BFPSgnWmH3Q3yJNJHPSJYEWyVVZDOoTgS7nGjNCahPHS7LW4mw+i0SbGxEIbFOOPqIv/VF7ZtYvDW3D6+c1iQoJgLIoHGPaGhJ7fc6+MdrPOai5TpBHu+X1wX9Pws+Tz2cGweuvxkG/kw0hQfWZAGUzPFGlDFYkTgjGnIBWcvPt5bod6rl0mfLitRwD2UPNCclAtpfX8n66J79j8GJ+XElIz5kpoP+SftEuUA9XJk6wlYkTQnZkWUKxrUicEMhLY6fn+wzKhl+UbwNKMK2IuMDxroqady6AVZ2+wDSj7SQLjNjzxVo8PeHgzj66h7+O1/sFw7xWxEFEhgRCOw5pF6J3Nr8bIkD+BWMkFrtfrVw0vX3Tq/bwbesDm6c5q/G9IXZwlACcwvEfTwBuv/12mzt3rk2dOtViYmJs4MCBNnfuXJs7d6598cUXtnPnTrvooots6tSptnjxYlu8eLH16dPHYmJirHfv3nbs2LHQ/UQMJk2aZMuXLw/eBHzPPfdUu20iALMaDgtFWiMZUB8FJPAmkJNBonNn1MxH1mj0CCD4Nl8BNQ/CZHzlpBTt1OSkYVU/GD1jlM07F92DwEZt8CRBsiGJYN+9Y2bURlvYCfgRkMu5MgUtYBKp7MMTtxOBUQJWORqVwHCnG0b9CfQjZWgYUfVRXP2Gux0R9Mjpalw8cNV3HAeNZ6SMlI/u8XcED4rmsQ0az2VY7Ke+sL1y4Ixi69k+AqfnEuR7XWME1YM4/YZgmVFRlqhQv1gqwOdoxxPNR81j6pPmHkGf7k1iEEk20iNGPjXvNFd86cm8RuGtHzkPeK36pnZ5e0IZR8rEcOx8lok2jBkQjgGJp7d37Lv03GfaSHYFPjWX1C7/mcAcx1IEjvOEspTMmR3k+PgSIEbaaZcVXWeGiMGXmxpOD/RpTUpRMOeYEVO/fXBCfaH81QfqlPp0V9L4kC1VX1anjA1F3yNlALSZAIkP70+SqNIsjiWv86RaoF/9ENllZoS2LJLucl5TbyIFHCLteKexYumt7qUMgEpi3negXpF+bqHJhcC+VGfPqztDJTxaRMxFvCqv4Vt7dZ0nCR8DjPvFvfrsg63hyDwXBqv0RwRAfQtKePBZpHcfsJ+8hjsRvfbKNnv09t+GxpL4oqjuyCgBOIXjP54AxMbGnnD3nZ07d9rnn39uo0ePtiZNmljNmjXt3HPPteTkZLvlllvs8OHDVe537Ngxu+WWWyw2NtbOOeccS05OttWrV59S21gCRMVeEF8OgGgUlWoncBGAJBiU8ZMD9DXTBHL6nXaLYASDWQOm7Jlt8JHjSCVLdHp6oda8RuEdE3wUV/ejo5FTVL/VLjmKhY2nBjX0TN+y9pTRVjpD1rHSQXIPbRp53zcfjWCftAUmI1xyHIz0iWQRCBHIUgaMfHmZ0RHq/gKZrJPX+Plsx/KKl9sQwDMird9zXH3WhKUNkj9rrdkmylE654mfruFOOdylh5Fnfk9iIhnxOoIfylfgkhkPtYflJJIPx4FgX7LQ7iu6l48yU+fURl8CxPsTOGpsSLQETP36BIEczjvODZbzEIhyfHwGjqSE10pHSJJI3vQvySTlLz3W/GNbfRZCc0ngS31Y6tqnyCzbzQwAS8r0XIJUytiTI/aBbaAd5X05h7xMfJCFpJlj7kGQCAdlpRI76d+JdI9gWnaHdkj2VXaML/HifRko8rZFcmFGymecqXck5vR1ypAqgyAZMmDCTBOBOoG+/q+2kWyo3ZSP/AGzsnqO+iR7o/FZkTghIAAE2gTUHwJ8E3T76PtH28IlOwLV72yuBNy8LwkAQbUH8ALjvlSHhIWkgd+pxl9ZBL7jgGsZRDY+cOSAxGb3q+Hnv725kght3xQmAD4bGSUAp3b8xxOAf+cjSgCiBCBKAKIEIEoAogQgSgD+swnA9k1RAhAlAP9+R5QAnMaDawCYppcBpFFlql+GjnsO01AxdewXwLIGkmVGBMR6lp4r56L/e0ChUg46UzkCOYGZ9UuDdQGsC9b3vK8cgf7l8+RomWKX05TT16JbXzblQapkQwBIZ7KoyZSgFp/kSMbHA0E5E8p8eUJxsLMRHRDrcunECAyY8if4UEkSDaBkQkDAtPztblUAACAASURBVD9fWiQgTlAmhyggyPsKZHPM5JDZLhIFyUBvWhbpY3mGiJvuK3IhB85r1QaSTM2X+XElQY24/p7dIDwOJBaUmwfw0hOSM8lL80enwJknC8sSigPQ4xe1Sn9JQjk3eV8Ce5EBBQQIMNVWjru+84sTdQ+CRIEaylF75VOfJEPalUVNpoT2sNc91UaCQ40DyThPylwkR3qgmmveQ21Y3HRyqPSCJGZZQnGo1IcBCvVbbdd8YX9nN6h8g67axV2HvGxISDTP9T11JFLQg3LROOh7D9Y5DzknZLP92BKIS660SSTNss+0N5wrtNMaN9pNzlddw0AG7bCXF8dQvoUn5zDvI3/ITQUWxIfXU6n99DkiJbyvdJwlcYuaTAl2c6MvYSCNc5I+dv3P7rUtL20JAXq+WTdYfOvq7t/dEn5fwAcOjPu9/Qnqd+HeHwKsC5D7shzu/f8BSMEH7nuBeBIQ7tnP0h6/wFgg/+Nt7wQ7C/kSoF1bw4uetSZg69+22IM/X1tlzun/V10+PEoATuGIEoDTeETKAKgm3QNyRZ4JlPmyFBk6Al7vOHRPGmiBSToCLd5kpD5SJEoGkPXYer6MLWt61SY6fd2HYEl95QJdtZsGWo6JUR8abDlfTwDUNxIL3ZeLqUkI2HcfLSYgluwIZAmU6RjpZNUmRqhEfvwCSUYTfXSVbdWY+N/7BYwL4qfaXUnjA0LpI6wEVBpHZnkIqtV+D3K564act3SSkU0CBp0ETx7MCugz+qY2cHwFfH2kXMSVfdW8IODTZ5S5xlwL0aV/BPEeBPEzPdcDq0VNpkTchpDgiRFTPc/PEz/fNSY+Wsq5y+f5CPRNDadX2R3Fzy/JRteR/KrPBK+yZ/5ZtIcE+9qGkRlHkRTag8VNJwdAl8BX13HOMvLu7aei/LwvsweSLfWIn7M/PnvFGnRmXThmmjucD9J7ZmGlp9IHn/GQfScRYjaROubnmuTDeciouvcpuhevk0+7K2l8CLjrmVysLBnNiZ0WED9mAbxtYPZF7fdkm4SBWRsCeJIYv9uPxo9rWRQsoZ2XrqnP8+NKbOOPVtorL75sH2592/a8utPe2VwJ0rmDDgExd/1hlPzDbe/YO5vDoFprB0JkYFvlAlot8OWLtkLR9m3hLTd17n11Z3B/7iIkEsKovvqirUT5Jl/2T23/YGt4MTCJD+9bvt7hbdv04su2/saVVXyk8El0EfCpHVECcBoPLgL2hsYb/NJ6ZQHA9wujfBRRzp8GW2CLKXkfVWdaU46QO+3IYdHYE/AQgDDlKwMrh0MHJQdOQKD+eDDISCidiKI+dCQEw3QWAgCMgipqxWtpyOkMGaWjbNU/Arx5jUqCt9fy957EyGHJaZEU+JIPRekEfD1wJHARWPWRWJ8GZ2SMbwTmeLFtIgpynn4RMNtEp0k9FXhk9H1JhEiy5C9A50kOgYzGi2Ulkt+c2GmhzAbv4+XA8hNGCLnTiuTqibauFaAj+NU8ZrZP4ETzgRFUAV1myqTr3M9d80LtYmTWj6WP0ko2aiN3b+I85pzk/NP3nkBQfrrnUhBP9kl6TtKp9iibwvESISOolz4JlGm3K5JrtssTVZJSEjxmCqhzfscvXe/JK9vAeS2Ze332RFF67CPq0gMFhybVLQtKIBU0YERcNoNzz2/L6Um7L2mhHdL/1T7JQbaSZTK8lv2QXGmPRDZkf7WxBIlRpEAH288AGd/g7nWUJNyPG/VTc5mBBH2uDJS3KfrNzPqltnLAT+zFx561v7/yun2wZWewY4+At8CyX1jro+OM/HO3nDc3lf/23S2VO+34bUS56Pi9ir3+mS3QM7lImQuNdY0WDbNcie3ib1i+xIXPPmuhfnMxswjFu5vfsX++8ro9/+iztmbwj4PNITxBK6sfzQCcyhElAKfxYAlQJKOmcxleCiSHQmeiKJEAipwNAa0+I1hStIglCnNiK+tGlWqWk/fAlyBN5QAC9N4Jyqgy+sboI2u2GQ2MFIlnVFFtk1Gm/Fj+QbCj6xgBYsSM18h5ekLG7Iba7Ou2OUb8TOPB8iaBL47ZpLplVSLU3rFGAl4ED/ycwFWONlI9rkA+y4ZIPAmQCTx9/ascM8eAAE+ZF7+2gKBU4IwlQrpO3+k6HyH0EW9PHNU2RncZkaTzJ9AQoPDRT8me0UZGslk+powJCSHnqnRbpSDUU85VRcE8gdD9Fzaeah1qTLQONSaGgBLti0A0QbXGRb8hqKF9Inj0pVBqC7MN3i6RhDHiSycfKevJ+edPZhL1XK45IvDnKfLp1zcsiJ8a2lLSR4ZFGpX1YHCBAJg2RoEWT1Y8WVebaIN8yRH1kWBbusygTSSZsw+a//RFGk/qNQkm9Yakx/uoE2WbKC+t65JsaYc0V0g2ZHcZgZdt8/OPmQjqrc8gSK5sq+xepDVQCpR5/0l7/sD8e+zFJ1+wbS9ttu2bttn2Ta/a9k2v2muvbAv9/WrFuf2VbRXf4TOcr1V8r2v0f/5++6ZXbZu/1l2v31TeC6f7zj+P7dle8dvgGaHrKz/bfoJnBfcLtWubbX1ps/31qRfs/v++p8r40J9E1wCc2hElAKfxYAlQJOCvz/Q2VwIpOlhFxGRs5BwZqeDiMhpnGUUuAJTBVSkCF74S8MhhyfGzZjuSE5ADpiOSoRQYFKCT0/EEQKCAEVsZ2qUA3zLUcrTMavj6Xd2L6XTJUNf5aJYcPmuzF8RXZmruaD4x5JDpdHQtXxBGsEHH61PxjAgywiwHprbrdywdo6P0pVgab8mB9/AR2sI6lTXQJInMCrEkjcDZ1/JyfDTmdLxyvroH26vnL8fbedVGH+2f3aC0yjoVycsDJkWZ+JmyVYwk3tRwevBstlXj6uea+spMjn7D6CrBGkmbruPYcV6zjIJzVX31i3b9Ql8Cz0j2SG0UaBNBUZ+osxoLylbjN7tBaSiyv6jJFCuoFSZMJGIkDLINJNqeUJOMSf9IDjiHaTcpXz1H0X6+q4NknWNFUsKMlOY6iUWkbAEBKe2jxoV6xwXPzLSoTbpWRFLzmnNC48WSKbWBPkWyoN5IH32wg32i7Zf9oE5RL6l3nJPMsurfSKVjPlgluXlf6XWBBJo2hPcmGdLaOm/HaEuVGVNAaGb9Upvd9Id2z8RF9uDCe+33v1xn9y/eYPcv3mAPLl5vD9+23jb8YoM9ctt627hog21ctMEevf239vBt6+2x239rj1acD99Wfq2+//0v19nvf7nOHly83h69/bd2/+INod/rN4/iHg+5v3WqHQ+jDU8sWWeP3LbeHlxceT5823p7xF2n592/eEPono/ctt4e/2X43nqWvuepvqpfj93+W3v8F2vsN8WLbF7iVVWCFsIOpfXKohmAUzyiBOA0HlECECUAUQIQJQBRAhAlAFEC8J9NAJT9ntcovC5G8lLZnb/W22LNPdkN+VuONWXnfUIkmyQ58f4qv6K/Z9aJ17EUzGe+uQBdc0TtpW3RuBBHLGoyJZT9iRKAf/0RJQCn8RABmFxvRMh4yTBo0moi06FxUtDx0hH4tKaMdqTyGT8h9TwaOm0Rx2cpBesn/vy4sGEvrVdmKxInhMps1G6/ZSkNE68lKKGDpROnoWJtsBwrgb3KK5gipsOgnHlfgQvKVg6aBlPOlbs0MTVMI6z7EnwRxFEPWA5AsCMDSgene7A/eqEZd9ghAGSJiT6jsZfj90RFTmxJs0nBy4nUfumJanoXN51sBbWmh8CzyJHkQDApp6o+cGwJ0kj0KF/pO/sbidyQYHinz/YQmFMWBFt3NJ8Ykpsvk2GpA+9LWRJwUR+8bhK4Ul85R/Q79lf65Mv2FjWpfMOp/30kQKF2cW0C2y+ARXBIOyLwyF28SAw5jpqfHhBxHYruqb5IP1hWRECra/28pk7yeZojlINkxM8VHFjYOFyXL32MpAssa+PvCZRIigkaFzaeGiI2AlySl59rBK+SrciF7iFdkE6r7l1tYNCC4I52XDKjffe+Zk7stJBt8UEltY+/lw2U/tB2c0544C99ZwkQ54++99tKc92N5rnaSpstAsXAFm0hZc7yOPoDvwuX7Ie/BzcDob8mPuBYSNe4S5r6y3HxtpmYIpKOymYraMhyMgY3ODac42qvJwuyY9Lvpc0mBQFLtfXahkOjBOAUjigBOI0H1wAQyPkoHCNUNJaasNyFRIZEhklnYZ2yAMjQQUaKUpN50xkSgMm5qw0+SiBgxH3XabxkJGQEOcFlDGQwaDzowGmsCUJ1jWro/VaoagtJhAdGMj6KHEs2lJk+0wI7vw83o1vMmsiBszaZTozGniSLoMdH0bzcJC8SPZ4eaKhdcnIy/HIM/MwbZ+pIpAgmAQpBtZwN5VVYpywYZ4J9T4R0Lk8orrINLskfI/p06Gy3nCj3FyfQEABXv+iQtbCV5MhH5KUXdNACUxpLH0EkwJHOahz9uOkekgmBPjNVArwkkPqc76jQPSJF9SU3zgeOLyOCske8VpkxgQkBCM1dD0Z1LQG5+qHPBKj1PYGgbJ4+o17xHgyyMOJP2TJD6QmEwI7sDueg7uvBvp6jaKfmOcfBg2WSPl3rSSaB0YL4qVXej6CxZdBB91W/PbHwQRjahIWNK7fb1H04/yjbSECX9kK20Wf0JFv6Rx+l9+SSUXJmymgnpHcEyZIPbQCfQ5ul70SIOJY+eKItp0VWNQ9JlhnokS1hcELtoB/XM/h7tUc6yvsyOq/Mj2wr7YiCOQsbT7WCWtODLJ1sGXXcy0hyWtRkSkg2souebGt+CX/od/qbekPso3GYdlk0A3AqR5QAnMaDuwAJEHOveT+ZFD0h2JMRl0HhJPdAm8CRETLdw+8awajJiaJddJKMnqqdBOosmdH/BTIIKmT4vTOUI6dD1/U0BrqftgwkWFKE2ztOpoRl+AjmJRu1yTtUOhmCK0bCGJH05IrpW5ImgiFGpglIGe1h5FRyp1MjoCfhkTNnRE2/kwMhoFQbpG+ehFDPBOx8yljjQbDDLBiBofpBoPBt0X71yUeUOTZ6JkG9+k4Hq5IVEW1mjkTUPAg5kfOWo2bka1lCcWiuak6Q2HOMOVdI8gjCGD2kbAgESEgkD46bzyD6aKLGi0Tek0wGFpYlFAfXEdzKtnBOqp+yQwRckSLIAqrcjED2RfaQIFK/oW1gn1gqpGf44IAnndJHknjZU7ad0VUGLBRdphykk1oILqIu+6h5oGdr3Kj3aqtK8iRz6QpJseap9zMekEvWy1wJHOcjyaxshcqLuGiZfSAQ9YSdmZdI4JG6LduvaxgA8uSVvkXPX9SkchtpZhs5nmrDoiZTbHlFZnNZQnGo7IpylKxJzjmn/K5usud6lnRRxIZ6Sv/A+ULfQXJNOcjGSt8YCOG8oR7Tf2n+a+6xwkCL56U/GnfZNrWBdo0BB8mKAQO1gVhkVsNhUQJwCkeUAJzGg2sAODk1+VkSwOg/HbKMiI+e6zMaBIHcSNd6kKoJRwfnt96i8aKTVekHnYuAgJwQAZcmNdsqZ0DQSIPvIwrqr9oggMtaVhkyRTIJrhjdVP/pCD24JECV09BzSUQiRUyZCSDpiRRFIUHT7xRJokNm2puOR3Kj06H8JQMBZoFZDzwJYARcfdRKY0zDLmcvx8wUtYAqdUwyIVBmZI9OQLri5eSBqoAHx0Zgi9E+jqN3ooqcL2w8NVTGwQgno5l0mt7p0nETWFJvCGgYQdX9PCBjKYd0iZkT6aEAm4/kerARSRcJ5nid5oIntMp8kATpt9Q9jSWvJSgg2JAM/K48fu2D7sc+e4LudcufkpOAui8Xol0gKOK4U0b6TOsmCOojgUvZS5FJ2l2ND8ddY0mwxPYsqSidkE2UvCPtkMR5LbumdpA0KyjCcZM8PdlnyZzPKhEIzqxfagW1KoNaXAfifQdtvwC4ns3AmPTR20gSJLWBa2NoH2WfKFPNZ0XdJTfpKjOLCuoQuMoGMtDBsfFzULaMOkIiyeyVb490R0Dfz4NImVS9XNEH3DjmmnfCF8xySubsA3/PMZC9YqaNwRvqseQlfY6+COzUjigBOI1HlABECUCUAEQJQJQARAlAlABECUCUAEQJwP/rI0oATuMhAnDV5cNDxla1q5owS5tNCoAzQT1BuX6vBVoCNjISTKXTIXNCEhRoMtKh0+logrJsxhMDGTfWOmoC00HpeoJcOXQ5VraXQIXOnkaC5EHXiDjIiGqh6uKmk0OvkJehuytpfMhIcgHbiWTLchC+BIyESOCORlyyYX02Zca+aHEpgRzBDIGgQFhBrcp7sM10pgIm7AMdAh2KHMwykD0P0mTUF8RPDfWbwIn3lSOVXrB2VnLwpTqeCFGHCK4kO8pc7V2OHWlYgqR7al0CCaLkLB3VnFAfpKfsm58/bKvGmv0kMCVIoj6QbHAuCCSorJALZKVvDCyoD0zfq7+cF5EWsAvAsKSG5E7X6XeaRywv5PyWLEgKPFmnDeGCXAZDNI4L4isXJsqusg6Z+ipQqjkgoEH50m55oE1Sxd2gOK8lB84tyUl9Zn21ZMQxmNeoJHjPgdd52kW1i+RY7dZOTATjAoHUBcmFv1dfSZpJUrjjlgIx1Gu1R3+rxlyAenaD8OJ+lc6caAME2S3aRBIh+jWWWEpvFVTR/QpqVd2IgDJU37TrF9uj7xc3nWwrEicEuqC2sQSQRKWwTmXJEUs4Of9IpOiLBMS9fWVAhfZVfff2VnL3wQXOa090aQP8nJIu037q+SRzDOrQ5olYcU4wKKL2RHcBOrUjSgBO48E1AH7ScILyM0bV5eQIFBSh1ARlBEQTnbX+BJ80nDS6Ag0CtHSQjGx5QLu8ouZXRoL3prOSg6ThYTSADtITAMmMBkMGW0aFkW/JknKQQ+FWqIzWqp8yjgQbcoY++qWxUl0k+8m6YrVB40kwKgdER+R3FGLfNP4cH40XnQuJHw0wa5AJTOQkCFz9Ijk9myCTzkuf+0is7i3QKXlzLE7kHCgDAnNGsPV/AkZmngQIdS2JAu9HEOGJFB207sn5qz6q/5zXKxInhBwdI6/cRcg7ThIWyohAh85eMtN37AOzOdRzzg0P2KgbAvoEiGwL57r6wnmttovEc20Hx0v2TLZGvxcQlr4xyi176AMOAoIkER48a+5oTGjLOE60nxp3EgqCRRFh9ZHjwPlF++bJumyI33RAvyVY0rhI3gSpei7BGPvBaDJBsOat1wvpFe0l56b0P5JOsV30F4qeq4/L4FPUJ29zpHc+c0tC5W0ZQbLazKCKgnKae/Kr0pOlzSaFXrg3r1GJrax4oR1tpOaDD2REIoPsB7MllBX9vw8isN+Rni8ZcO7QPpGUU+Y++Mb1atIrBic8+dW4UIcYWPBj6Puu9tAORgnAqR1RAnAaj0jvAeBE0URiaQYdPQGiPmPkSc5ZDkMOScaHUUCmDFni4SPejKjrezJyTeZIkVg6REbEZWgZqaSBp2H3BlXAlsaFoJmkgAaQ99FzaJgZveXnXCxLx6Z76p0NMox09vqd2kQwKfkuAeiSQSRAJRBkFkH9ixQpjHQPtYGfEWgQ1PsxYyQsUgaIAIARSO8IPVDwYJ9jQcCrxWXsIyPEvg/MbtGRsU+6r7av83qndpH4KXpIZ6x7sWxBsvcLg7UgTvOEUV/NWS6O1I5W1EcBdU++ucsS20VAR9uhNhK4qs0eEHiQLKCoOc7oMGUjoETiIeLjAZD6y7/1mXa1YXmG7ABlLtLl5x8jmWy7dJiBCmYGdV/ZYpIYjbk+51iyXFFz2pdhMPAxs37lG6BlcwVUCawkY4J9+glmYnStZObBM205ySoDCQTitCPe3mvu0c9IJpzLJIaUA23gt0WICdJ9qZFk6AM6DJCQHFDH6B/4bEWf+eZtjSHbLP0XmOZ817xiWzlvdS2zPvTTDPx5ffKljGrz4qaVu/BInwnqiQEYbJLdpI4wM8gF7NQp+g4ffJHNFLin7pFEUB91f/pb6Yr6ECUAp3ZECcBpPFgCRGNLFq6JqMlEw6VJzDp3TWAfgfQO3wPFmfVLbUXiBFuROCEUCfOpSjoBTUQ5WJIPGnQZBu7oQHBGYCGw5aPAOhWV9GDUg1zJzTsQPY+fS2aKtslh+md5gOIjIXLCdA4aB0Y7aXBluD1Yp5Pk+gfJkcSBRpnRNDkyOXU6AX3He1C3NJYkmRxLtYXRTh9pYvTME0JlH5ZX7JrBzITS8T7r4kGD9IRRI8mZL4WTPnhd8pF7RojpcBiNIgCi02NEUbImIJZDI4mRfrPduk6ZAYJH9oE6zTFROzUvfFmcCKrqpWkzCAqok5KjXnrGbRpZY0yQLF1nZJskg/oo++UzOSrDiBQR17ssFMUXueG4S+6UOeXE+5KUK4PgbROJuo/qk0BQT/VbjoOCLbQV/D1BIecpbYi3URon3z6SBL7Ezq/nUpvVPk8AZBu4g48vQROx9rZfz9d9GQjwdlX3JOBmhoXRe9pyficZ0M5LB0gGl0L3JBPWrBfWKavi02TPCcZn1i+1VcnjQn1g6Y2yGNz5SLpEORDsiyhTp6irLLHi85iJ0RhSDvJLi5tOrvKuFtlg6rRkyd9TThpPZaaJRaQzxBqca35Oz2tUbpekY4V1yk44VxmknB8XzQCc6hElAKfxEAG4IXZwlVpHH8VhdJggVIaLhlyTixF93aOwTlloAmvCC3hxDQENEheOeRCkLRJlgFlXTCAZabGhHAUXQMloMiVNp7YMoFHZEQFjLiyUUaNs6IwpLzlEOhFGpxSRYySJTj5SNIPglYZO/aJxl8EW8NP3jGrr1PNJYhhZofOnjOm0pCMkgdxuj45JBpilYx7MCAyrbYzgERR4EMXPCB4jgVYf/WMkVzpNZy2Qq/uyzEztlDzUB5a96VpGYqlLjGj6DIRO3teXs2gsPShgNJAZgHmNSgKC7gGEQCHLQ6jvGh+BqZWJE2xl4oQALGjRJcfNR74ZVaTuSwe8DVrYeGqwXap0Qs+PtKDUZ200r1nfLQDGZ1G3KWfZRgYSGDiJFEggKdc9NL9Jugi2/clxY3SbgQHJQf3iy5x8llfXcL4TtBMkiVxzvQMjqV6nKTf6ApJNkkTOe9kYglHJypcyCrAxG6dxJtDTdp0kX2oDSY7Ghz5CY+ntD4k9A1H0dyQjPjJOgkcyz98wyCZA7KP91BnKhgEo3sdH35kx8GSTwQcSOPls2lPJT8/RAmXZIh+MmNeoUmaSFf01bQsXIrOfbOuyhOJgjAjqNb+lo5Il35PjA0Bq5+R6I6IE4BSOKAE4jUd1CcBtzSfbtIwbbVKHOVba9ka74YrwGzCjBCBKAKIEIEoAogQgSgCiBCBKAKIEIHp81xElAKfxYAmQJgINtT67tdkUG5x3qyXO2GCx1z4cnEkzNtio/J/bwqbhbc0EYnz9rv7PCaZr+HuBJRo6vgKdYJpGJpLx0rP0+xWJE0L1sAKI/EzP4Rtc6UgIKAk8fepc7abBo6GJ5LgJVuRcCPx8HSuvkyzpkEVuWKqjdnDnCTk/OUX1S+0kKKVcmWbnAknJlmBNfRNgo0OX85a86Qz1PH6m+8yJrdzqU+NIJ8pn07iTNJEA0MFy3CPpqIia3zFLMtO1GnvqknRnSUUpCUE5nSifLbDjdYZAkPKi7EmmfLsECAn2BbQJuDinSZa9MxUh0lwnseD10l2CE4IiznPNZ596F3FVP0QS9XwCD5X70D6xdppgV8CCbdS4E3j58SFYkR0jYKZ+c05wHnIRMWWpazQvqbseMBFE+j4IQM1uUPlSLJIe2izJnDqna3VvT45FCAmONb/9egRPutRPEkqWRXowKrvA55LcMwjg5wN9DQMR3FWNgRONM/swu0GpNTy/R4ig6bcEuZpXtK8iEQyeiGSQzMhPcv77QBPJAnXnpobh7aYlC8lRJS+SOYmuDxiQ/EYKzlHmAuqav9Rv78d1veyWB+3LK0oFScJoX9UuESWNoZ//6qPazAXd9H8+QKI5yOexxGpm/VIbXHtUlACcwhElAKfxYAZAir0ycUIocn9rsynWpejOctB/ze9CBEB/dy1aYXPjKhdlKQJBB0cHoAnGOkBGzmTYGKWj82MtOUkEAYiuZZSOAIKG1QMNHw3gpJcDp3PQ/T0wk7GSLOUkPBCjsYtkKBl9ixTllKGSTH27vEEVSJEDk7P1USESLzp/7xgYAWPURaDopobhdSKql6YMNK4ENwLDrMsV0ZofV+4YeC2dCbMVBK/St1XJ44L7MJqttjGCKJkwy6TfSZaspfa6p/lA4KP+CHRSF5Y62XiyyTmhsSMg9vfirlyMDlM/ueMPd4rStXxDN+ePdNQDQBJ8yUxtkLNl1JkkjYDQgz4BELaL842gXHpJeyZd1Pa7kgPnt+zH7AalgVz4PglmOki+aB8EtiR7yiuSHdHzGBXX2PiMEOc15x/vxWCMdvkimJVN0b31BmgBO0Y6fcCC407gO7tBaZX1Qb6NBOq07540U88FpDkXmG30kXoudlV7KS+2X/fwb+xWvT6zJtQJBU+UMeC4S/ckU9XI6/kcJ9lFBhHo79gv/qs+MLhAu6B54UmZwK/uuww1+PQHJA68rzJa/t6y68rs6X7MXsgeS79li3UvzW0GLHxmQu2jfaVs+MZlyppzh7aF9lj4hPaG5FHy0PyhPk64dGSUAJzCESUAp/EQAVibnmPPd+gXnE9lDrLHM4baQ61HWMmgeWHQf4JzfP+f2t3J4wLgr63vtLB3WUKxrazYk1if3ZU0PgD/c2IrdxCSwabTERih0xAgEpikE5JBYQmSwJpKmYqzy0uZliZODDmu5SjdEGDR/wk4CDzZThkuyYDgeVGTKbYmpSgU6VU/lyUUBzKQE5LBonNhelKGkpFRGmUZXB89lFOiM2R0T4ZuReKEUP+WNJsUpFDpMCRbRs5E5thXZgUUWVE0ckXihNDONHJCGkf9Xo5Vz2IUSJEaRvpV4kBHuaIt6AAAIABJREFUwGitxsyDLe+ISMQ0Pj4CLx3w0SmNnfpL0MwIro+IM3MkYENwx7IQHymf3aA0KENaAl3ki5f4PF9iQjkKCKgvjDxLrp7EyoES8Ahs0MkysxaJWBOU6++7ksbbXUnjA5vAyLFAmggIx1Ry8FkiEm89l3Lm+IgEEaiL6HhiLrvESDszUMwACICTeFJ++kyLQylrRte5K5NkRtvigyIEUfo/gWBhnbIQgZceL2w8NfSSM+mBL/PjvPFzhICQc5k64gky9UJtJomn/eUe+GoPgT3brf/LBi5tFt6GWnaOvyU45BgzEyBwrDGk36DukZCS3Gh+SPaM1Eum1Bm1TfaMOibbRburOeAJtM8202bxeX7O6rMlzSYFW5EyAu9LokiepIcaV+kr7Y3XDy6Y51xV0MJn8KRPJDcrKtpJP+Xtlm8v5++1DYdGCcApHFECcBoPEYCXxl9s+65uYPuubmBf/rChfXHlFfbFlVfYntLGlnbNGmvkI//+vOZ3lvrDe+3VvM72ep9Otrl7T/tLxzz7c8e+9kJOvr2Qk29/bDfA/tyxrz2dNdAeaTPMHmkzzB5MG2kPtR5hKxIn2JqUIlvXcoytaznGliUU29oWRUE0YWXiBFuVPC4gGDKUa1KKbFXyOFvfstDWpBSFDD4ndQDuGpfYhIL5EUuZCvstsKWJEwNwu6riWdzVY16j8r2V6fQUXVN0RYZVhsg7G5UnMKoho+azEwT8kaKCBNoy1jRqPpInY8Y6VxIDOVs6aaZD9T3BGEGyzwrIUXmHwcjSUgdY9NxI6WV+r3vLuTMqz+fRKXmAySga1wV48ODry0nKfKRuXqOSIJpHXfTZGzpujbEAGcGmwCOJJknIgvjKLTcXxFe+MVZlHL693pEpe0BdmFm/6htWdR+Wh3CdCsvBJEeBXLbBAzCWMXj5RnozLaP70kvNWRIxbqfKa1ki4qOKbKt02Uc7NeZsv+4lou1lxjYQZPtsjMaOc43gjHZBMiJgIen0z9b9ZZu8rgkcqyyFdoHy11hLd6gPJGpsi/qncrfSemVWUKsSuBNk06YRuGrs2C/9TTkog0fZMhjhI9uUpfRTOiFyPrN+abC/Pu2JxljZIPbXA+JI0WjaSK4PUjCE9pvvSGFpke4nP8TyNp8lEingmCl4JgLJjAeDQuyXAmyc857EyK8xm632kvxJ5zSH5sRW7oQnEs+5KpnTR8hWMZjAecnAnOyzD+IxK0dbrPZ5+fo5Hi0BOrUjSgBO4yEC8ErvGnZgxIV2YHRt+2bMD+zrorr21fhL7MXiLMsuW2GpV91jTWbd/51ZgHuHjvq3JQC3NptiHces/NZSpm5FK2xp4sQoAYgSgCgBiBKAKAGIEoAoAfj/mADMb1xiV2XdYOOy/8tK295o8+KnRQnAv9kRJQCn8RAB2N4ixizzu8+3O18WEfgvGTLYftu/u7016Ao7PLymHS6sYQcLz7cDYy+0/eNq2zfFdezryRfbvomX2ZeTL7fPS2Lt89I4+2x6vH06pal9MrmZ7R6fZB+OaRGc749Ms52D2wbnm/3b29/zOtob/bJte+8utr13F9vcvae93KW3beray/7csW+ohOmJtkOCMqaHWo+waYNPrpRpQsH8oD6caXMZgLuSxtuq5HFBaYWuESmgk5Yh4rW6hkZR6UoZaDlMGSmVcMjwLm46OahDFUmRkWbJhK+HVAmTT4vLiKp8i45KQI6lIAJsagvT4Swr8CVG+r/q63mtgJkcv/qwIH5qABx0rcCe7sEFznJcvJYlH5Kj5EQnz3chEPQLOBB8M43MtLWcgpwRgTvlJZkIJBD0C0hKnix7Y/pfzlX9UL89YFO7VZImB8t7eBAvuXEspUcEtJIbAfz8uJJglxdPDPQ5AZdkzbIYjRlJJvWbYz4/rqRK3TfHg2POBYK+fG1O7LRQXbL6R8IhHSuoFd6vfFLdyrIc6g3HxhNzAjnpDMGz5MQyDc0Hr0/UaYIb9ZPERPrH+SD5a5xZfjYndlqVN4B7ECxgJYBEfdXc4Q5ekrknIfq9wLzGWH31AQmSABJt2kHOVb/uwM8X2QzNX8pc4DwAmHGV5IM14grS+CCP2iGZS8cJmKWvkgvno+TIe3hiqZPjoL5Jv0i6CHR94ETzlzZcuuXnNRfjU6fnxE4L1hmoPZrnKgWWTZIs/biRHIpkcK7Jb2nclyZOtMJ+C6pk+puX3WfD+y60uXHTgjIo+j+WKy+rWF+mcWaQSteT1M2NHxglAKdwRAnAaTyqSwD+0eWKiKD5jS4NT+r3Og8Pr2nf3FjXvvnRxfbNjy62/XNq24FrL7BjPb9nR3PPsqP9zrIjBefYkcHn2JFh59rhkd+3w2Nq2KGx59nB8bXsQPEFdmDyhfbN7Ivtq2svs6+uq1f57+xLy0uYZsTaF1deYZ+WNLaPS5pa2qyTK2VKm3mvbc3tatt6dbXN3Xvalh7dbVPXXrapay/7a6c+9kJOvj3SZpj9sd0A+2O7AfaHzMH2cJvh9mDaSHu4zfDgVDZjTUqRrW1Rfm5MHWUrK7IdKxMn2PqWhba+ZaGtqFgbsSalKGSE7mg+0VYlj7M1KUWhDIAcgIzX3cnjgkVVi5tWLqxe3HSyrUoeF4pecFHgckdiRCS4cI3REQIIGULvcBY2nhpa4MlIF4mHHPXNjabblIyb7KouN9nMrBtsYdOpAalRDa6AGZ0To6J0Dh58iwgJZMpJy4Ew4rQgvnKxLp0rHaNksxROmhFIjYknVyJtaivHj+PD9uvaFYkTgpdgeXIjeTN6yKgonb8HD4uaTAnq6G9qWLkDit5g6rMWcnjMWDCqrs+kQ5IPwRVJ3ZIKp6vPFzetrKPWs/zCa08KBCaY+eL4M5sjIuTfUqyxIJEm2WEbCmpVglGfTSKgEqkVeGAEVH3zIGpRkykh0k4y7MG+ZMbsFYk4gbJ03Ef7uaOUxlF6S5IoeXOHHJII3VcgUHro1y9Ip0TSJQdtcSzyKzDN8dE89lkIyYOgmmMggOgJt+aIro3UXkb1NXcUGFpWYV9F6EhCpFskjppLjOrrN7QZ0oVIwQ0SLk+EGNhR/xTQoB0UyaId1HzlXKU99wSAARtdS//0syYlNiPzBpvR+ebApq9KHmerkseFMhqU1fKKLJ7aSOLJOazr1B/ZdmVM5sVPs25jV3xrpr9j4Z22qsW4YAz1e9kjnXcnj7ONqaMC/6zxWZZQbHcljbelzSbaupRRdl/KMLu1SZ8oATiFI0oATuMhAvBi8vn2dUZNO9T27G8F7pt6NI8InD/oeHG1CMDuLnH297yOtqOgne0oaGdvDcyyjwoSq3UPy4yxr6ZdEgB/EYrDI2rY8XYxdrzDGXas85l2rNv37Mse59sLvVraH/pk2O/65ti9/XvYyoH5tmTIYJtdOL1Kf565qb3tL7vI9pddZF+XXWxfX1XXvrr6EvtqVjnB2DerfnB+MSPWPpseX57NKGlsn0xuFpwfj0u2D0e3DM6PilJs1/DWtmt4a9tR0C7Ibrzep5Nt69XVtvbsZq/ldrbXcjvb5u49bWvPbvZyl972bPuCoJTqhZx8+0PmYHsqc1BANh5MG2lPZw20J9oOsYdajwg+V1nV2haV5VUqsdKibL59WeRA369KHmcrEyfY6pSxoZKHO5pPDL5nhEpAdinus7ZFUQC8tXBzflyJLU2caEX9f2ZJ37K17KImU2xlhWFf0qxy3+x5jcodhtpOQCuH5DMpaiOd78KmU21axo3WP/0nNrjFzTY3rjLjQsenfnlApCgWnbcc58qKRe53JY0PImDqi2+HUvhyinTWJFkCQOqvgFKkbIMcll9YT2DEMiQCKQJCOmMugKcjF3CgQxeh8M8UUNSztDGAiAej5wLZBIIcU5EjAjRGGpWZUB8EKmc3KA2RXmW2FB31gMvLV4SXWTGBcEYFdT2BlO4loMZo8sLG4UW1eqYWa/osm8r5tI86o8gk8QJ6/L2eyUi/CAvBrEgT28WMAwlppEySJ46MVus+jOZTVryP7BNLVHRPEXcCfcpLstbzeU99Pq9Ric2Nm2Yzs26wSR3mBMCVfVb032d5PSFUvziH9cZbRriZBSGB1ZwisBa5E0hlZsKX2i2v2N6S95L90bhTtmwns1r6V/6gHPRW2ii2d3HTybYsqdgG591qCTPuC9n0RKyxk94wUKQNQebHlb9nRGRhWUKxrUkpCs3VNSlFQemv/r+2RZE9mDbS7k8bZeMLfhp6dvysBy1l5jpLv/I3llO23HpNu90KpvzcftV/jG3NbGfb22Xac9n97fkO/exvnXPtb51zbUuP7vZhx8b2Rc4l9kX2xfZ1h4vsQM75djC7ph1uf64daXe2Hcs6044Di7yUfVGUAJzCESUAp/EQAZh22fDAAFxdf5r9utlYW9V8pC2JH2GzesywkRN/YpPGX2+jJs6NSADW9+tm23Ka2cdtLrG9berYF+m1bH/G9+1o2zMjAvc/tWhvdzSfGEzgZQnFtj4xv9oE4PnMXHsqc5D9sd0A+2unPvaXjnn2Yfu4at1jc/dmVfszo8CO5Xwv4vXHs2LsePsz7HhOBcHo+j072vMsOzTpPNv/4zqh88C1F9qR0efa4cIadmhsTTs0oaYdmlzTDpXUtIPTz7eDpbXswJUX2IGZF9iBay60b66tY9/ccHE5makgNF9dV8/2zapfTnQqTi3U/rw0Liil+rw0zj6Z3Mz2Tmxue4oTbE9xgu2d2Nw+KkqxD0alBuf7I9Psw9Etbefgtvb2oEz7Z35OcL7RLzsgIlt7drMtPboHBETnU5mDgnKrF3LygxKrJ9oOCXaPejBtZJAReaj1CFvbonyc708bZfenjbINrUdb16Jvj9J0L1phy5OKbXXKWFudMtZWVkTBFQm/K2l8oEP6/O7kcbY8odjWtyysUuZEEPCzJiU2vuCnVchHYtkGG5H/c7umYVngGJUREOBnOZiex8grS7MISuRcffRPIJigRKVaAhQrEyeEonK6h6J2S0DaeM87mk8MSAhJB0nb3LhpVtr2Rruq849sSsZNdnOjyoyHX/9CgkOQq3sxCssoLUGmQCqj2frMEw49k+CZUTvJPVJph55HoM4affVPgEbfM5IpuTLqS/BF0LuwceUzPXAl2FG5gkoffNkHy5e4LoUyk7x8Fkn9uL35ZJuZdYNN6/hjm93+OpsbF95vX6CYeksiK7KplyEqw8RMCvdQZ6ZM5JUE4mdNSqy07Y02s8tNQS22CAdJgUjayoqsEMmg+qg1YdJJfabnSU9YYsJ6eC+HJc0m2ZKESTY6QslIQll5MOL25pMD2VBmC+LLs6/MAmgMGSy5o/lEW14BYgWiVXISaU6or3qeykg11yiHJbhOz1LwQdFxgmY9V3p+d/I4W50yNvgd19zJ7t5dsf5OGerlFcBcdn59y0K7K2W89R7362+16fnFv7LHsoYEPkQ+5a+d+tjLnXvaP7pk2RudM+ytLqm2s0tLe7dzsn3Qtbnt6R5ne7o2sr1dr7DPu11mX3ava193+4HtHtqsPLg2poV9OLql7SpqaT8qnGIf5dSxL7LPs4NZZ32n/z+Wc2Zl9cB19ezr6y+xb26sa0d7ffdveW7peXaUAJzCESUAp/EQASiqOzKUyl6WUByAi3nx06z96G9fPNuxcKXd3KiyPlGRyXmNSuy2JhPtV03H2ZLGhfab5kNtRZNBtrzZ6MBgyWmsThhmL7dsaVtbJtnfU5vY22mx9k7a5fZh60tsb5vati/jfDuQcW6IVCxvNjZw0NoTfkvL6mUSXuzVogoB+Emnq+1Q23Oql9XoFm//zM8JshrvDE233QXNqp/VKL0s2I1p36z69tV19ezg8PPtWNfv2bHuZ9nRnmfZ0dyz7Wjfs+1I/3PsyIBz7PCg75eXSg2vYYdHf98OFp8flFYFhGRObTs4o5YdKL3QDlx1gR2YeaHt/2Ed239Nbfvmujr2zQ0/KCcfPwIBubGufX39JZUlVii30k5RPIN1HSWN7dOSxrZ3YnPbO7G5fTwuOXTeMr30pNZjzCmeaf/Mz7G/53UMMiOv5Xa2LT2622u5ne3lLr3tb51z7a+d+thfO/WxP7YbEBCT57L723PZ/e2JtkPsD5mD7fGMofZE2yF2f5uRljt+2bfqc+74ZXZvqzFBidaGVqNtY+qogIzoXJ5QbBtajQ7KuBTJErjSubyinOvuCges7Igc9B3NJwbPUjRRTvfuiiwL092M1AucMgvCd2sIrOhvZU6WJRXb8L4LLdFF65JmbLDBebfaHYkTQ30VIBEYJHBhel4pevVPEUJew6jkTQ2nVylBE6AS2eMpYM7SCgGaeY1KQlkXD8wUbRSIEagXoFHb1X6RKYLfSCUIkoGi14zg+xKvxU0n2+qUsUFknCV/Aq/6vcqzBLolG4E1/yKjpYkTIwLZpBkbbHjfhTYvflrQVumq2rWqooxwGXRHp8bKl4eIDGncBeI19ksSJtnQvIVVIsLade1nTcrvqzFbnVJuz1luI5CucZG8mNHQXNTaDY2ZwOzSiv4xYh3MwcSJ31ky0qVohd3abEooOi0wfXfyOFvYeGqofJMBCV2rclAGvjamjioPfrUstI2powI5bGg12u5PK/9bQZNH2gyz9S0L7anMQaHsr0pQn8ocZI+lD7XH0ofa01kDAzv4l455gX3c1qurberaKxTkeT23o/2jTwf7Z25725GXae/2S7P38lvZ+/kp9mF+kn3UN8H25DexvX3jbW/f+PIA0pgWtnt8UmDf9xXUs035yba+Xzf7Xd8ce6JPW3uud6q91CPJtnVrbG90aWjvdbrU9nS4yA62P9sOFZwXyqLvm1Xfvr66elUElhljh8rOswNzLyr3c3Nq2zM3t7PZhdOrdY/j7c8I+bZ9VzewL668wg73/H617vO3zAuiBOAUjigBOI3HyRCA+XEldsMVpTaoz8IqjiWxbIMNzSt3LKw1JgGgM1SJBqMjIgA08kwN0yErCnxn4jj7TeJoW9JsYhUCcHezgfZiarb9MSXbXmqVbptTU21bWordm9/DNuZ3tsfzsuzZ3mn2tx6J9lrXOLunoFfI4CfP2GCrW461o20jZwBOdH7UvWkVArCnX5NqG7V9M+pXIQCHB9So1j2O9j47IgE43uGM7zaIWTF2PLs8w3FwfK0qBOCb6T+wI33OtcO5NexQXk07lH+eHex3vh0sqGUHCi60/QNq2zcD69jXg35gXw281PYNqmcfFyUG4P/9cS0sbdZayy6703JLbrOu039lHcpWWNsr77K0q+6x5Jm/taaz7rfYWQ9Z2sy19lp+p38pATjZ91pMHvDf/7EEYFlS8XeCnm5FK2xVi3FRAvD/CQGYGzftO7NqHQtX2rz4af9PCMCShEnf2Z5OY+60efHTTisBGNNvwUnZgxF9f/4vJABjbG1KoT2YOtTuShxtv2s5yB5P7W8bkwfZgykF9lRqb3u2dQ97vEVve6p1nyoE4OnMAfZ6eiv7R3oLeyszwXZkJNh7mY3tvYx4ez8j1j7OvNw+yapnn2XVtS+z6thXWRfZazntqhCA9zonhspYvus8lnVmRAJwoNv51fJPB/MjEIBr61afAEwLE4AHb+5uM4pmVo8AZMXYV9fUq0IADgy60A73rmGHcs+zQ33PtwP5F9rXfX9gX/e72Pb1v9S+6F/fPh/QwD4dGGufDIqzZ3rERwnAKRxRAnAaDxGAqy4fHlo0KYfH+lKlcq9ud70VZ88pf5HWJTOCVKiMMVO5dNSstZQB1sJQlT34WkUCAj3D1+EqhcwdJlimoXNAn1tPytAPzVtoi5pMsVXNR9nqhKH228SB9tvE/rYxMc9+l9TTnm7R2Z5vmW0vp2bYlrQ0e711C9vcqoXdl1QQOGylcR9rkWufpV9k+zLOt/0ZNexw27PtWNtvB+G/Ty+P5Pwhc7A9l93fXsjJtz3tLq+WUdvf+QLbNby1fTAqNfh39/gkO5713QQgdJ/RtW3f1Q2C9OhX19Wz/ZNqV9tQ77+x3EgfmHuRPXNzO4u99mFb27/ndxv4rLPsSPsz7XiHM+xIv3MDMvP19ZcE55Hcc+1o7tl2pM85diTvXDvc9/t2OL+GHco/zw71P88ODTjPDg6oZQcGXmDfDLzIRky9pcpi8IwrV9n0sbNs8vjrbMKEm6xows02pfg62zM0zj4dFmd7hza2T0Y0tr0jG9ueEU1tz4hm9mFhir0/Mi1Y0/H2oEx7e2Bb2zkow3YObmvvDWtT/tmgTNtR0M5e79MpyGb8Pa+jbe/dJXDE23t3CRaa/6Vjnv2lY15Qj+oJzrPtC4Ldrp5tXxAQHUUGn2g7xJ5tX2CPpZcTnqezBtrTWQPt8YyhtqHVaHssfahNG/yTkyRBtwTrRu5PGxWQHf27vmWhPdJmmK1JKbK7k8cFi911jcoONrQabRtajba7ksbb2haVW/dq+16VIJC8rG1RFAAoAcS7K/6vtSlaSL+h1egAwCq6qmDBKpCu5RVBBJVH6dRv1rUcEwDN1SljAzCn8gfVG69vWRh6kzB346INUCmW+rg6ZWwQ8RaYlS1Tn7RuRtsgi5iQvKgMSm1ak1JkRf1/dlJjWlwwPyA/Kv8Q8NZ4sb8C1+tajglFqPUdx2IVxsfXYp8M0d6YOsrWtyy0J9oOCXT1sfSh9nCb4fZE2yH2YNrIYAvptS2K7JE2w+zhNsPs9xmD7JnMfvZMZj97ou2QoBzxhZx8e6FDX3slu5P9JbOb/S2zi72Wk2Wvdciy1zu0te0d2tpVY2batLHX2JVFP7Srx5TZ9aNLLLtsRRXCMnzif9vujg3t046X2ycdLrdPsy+zLzpcYvtyLravcurYVx1q2/6cC+xAh/PtYIfz7GBOTds5uK29MzTd3hmaHtiK/V0vrBboPti7ln06pal9OqVpZclnSaPq2+Dii4Ky0v0/rmPf/OhiO1hcPeB+PCvGDsy9qMq5N796PuHj/ItDNrz8HUSXVX1eZowdb3eGHcs+0452OMuOdjzbjnQ5xw53qWGHup1nnw2Ltd3jk+yjonJb/PD4/tZ1+q/sv0ZOsOtHl9hVRVfZ5PHX2ZjiOTZk8nzrO/UX1nX6r6zdjJXW6odrbO2AUfbnnPLtynU+nTUwsKVPZQ4K7FaohLXC/inIcUfzifbzZv2iBOAUjigBOI2HCMDMBsNCC6ZU58goHRezcWGUwDkXZ3ERGSOF2smFO1eoJlM1wNwtRgsyFRXS87j7hrZg4y4XkaJx8+KnWYfvKGXqUrTCbms+OXiu74NfyDc/riTYgcfXgIug+L2RFzaear9qVmxLm46z5c1G2/80H2Ermw6ztQkDbG3z/nZH8+IATCja+FBiL3u5VWvb0qqlbUtNtn+2bmZvpDWxt1s3svdaN7CP0+vZ7vS6tje9jn2RfqG9nd4k2HFoZeKEihr8Md9JPvy5PTPDnsocFFqE/M/sNtV2PjsHZtiu4a3tnaHp9puxhRZ77cN2X78u1brH4Z41ynd2qtjdSesijrerXlt+WHRVFRAytvjm6jvUmy4KRZ/2z6ltRwaeEzjK4+1j7Hh2+WL04x3PsOOdKtaMdDnTjnUtX5x+eHCNoMyKJVdH+p5jR/LOsSN9z7XD+d+3I/3OtcP9v2+H+9ewQ/1r2uGCmnZoQE07NOB8OzjgfPt6ysWBbL78YcPy7NHk+rZ/yEV2YNiFdmD4RbZ/WG3bP6yOfTnkEptTONGuHjPDriq6ysrGzrTpY2dZybhrLe6aBwOZNLrmd9Z61hrbOzrOvhjewD4f3tA+H97QPhsWa58Nb2SfjYy1z0bG2ifD423P0Ca2d1hj2zusie0eGa7L1Za+Hw1Jso+GJNkHg1rYh0OT7YPBKfbB4Bb23qBW9v7glvbR8BTb2b+NvT+4le0a3MreGdLa3hvWJrQV8DtD2tjOAen2Vv+2FWemvT0wIzjf7Jdlbw3ItLcGZNqb/drZzkEZ9vbAtkFWThm6N/u3tx0F7QIypu9eyy1/keHrfToF3/29T469kd8+WCej7Yj/mZ9jr+d2tNdzc+zVnp3t9dwc+2ffbNvWo4u90Tfb3ujb3t7Mz7LXe+fYP/pk2+u9cmx7r072Zv/29nqf8n/f7N/e3sxvZ2/1bWtv9023HXmZtqNPpr3Zu/x8q0+G7ejd1nb0zrB3+6Xa27np9nZum6Dtb/TLtrcHZdobg9pZ3rTF1nfqrdZv6kIrmPJzGzBlgQ2a/FMbMnm+DZ90i42Y9BMbXTzHpo2/1t7rlWTv56fYWwOzQud7Q1vb3j5xtrdPI/u0T6x92ucK+6xPQ/sst6F9ntvAvuhTv/zMvcy+yL3M9uVearuHJIQ2OfhwTAv7aGhTW1fQ3dYU9LJ1/bvbhn5d7f78Tva7vjn2aF57e6JPpj2Vm27P9G5tf+mVbAe7nme7xycFmycEkeW8C+1ozll2tMNZdiz7e3Ys+0w71v5MO97ujPI55gMGfWqW24arG1TaitIrqj23J42/voqNKB07q3pgOTPGvrmxbuV6sApbcbTft2+04c8j/c8JAHtQnnlD9ctlDoy7qNwu4IWf34z5QbX79GFhSjCndW7Na2F/7plif8xtY4/ltbP78zvZ2v497X8G9rVfDR5oi4aOsPnDi+zHoyba7MLpdl9ugf2tc24Q7Hi2fYE9njHU/tQ2155sk29Pt+1vT7YdaBtTRwakT+BbQQOeq1PGlgcBWowrr1I4id3+kmZssGVJxaE3inPLT+Egv1OTMlwKlOp30TcBn9oRJQCn8RABmNVwWGjxnVLtAuQqrxF411Z9XAyliaCdJxTR50JIgnwu+BMJ4FZs2kWEiw1FAPgiJKWvuX2e0saawEq3z42bZn17/8ISy6rWyA7IvdXmN64kLtp9Q/0T8VAZE7MMLGfiLgrcZUJZES4M5EI3lUZQXsqm+MWNKvsQCVlRsYhUUVS1QaUQL3GwAAAgAElEQVQh5QtZJ9qdzQvttvgxtjphmK1NGGzrEwvs3ub9bX1CX/tt81x7PLmbPd2ikz2Z3NH+mJJtqxOGBlFZGdt7mg+0Ha0b21tpcbYjNdbea325fdC6nu1Nv9g+Sa9jn6dfaPsyzrdvMmrYgYxz7Ujb79ndyWPt7opI4Y86XGux1z5sv+vboVrO5/30hoETeCx9qD2eUV7rWp1ommXGWOnYWVUcwqTx11fboX48NtF2j0+yj8clB+nwA71qVeseh3vXCABLsKvUlVfY8azqteXghFqhiNrX119iBydXry2WGRPxZX8f969eav5ov7OCyGAAfuZdUO0+HZp0XriE7cd17OCU6kUsLTPG9v+4kqQJRB0pqCYIyz+ncstitKe6unewuFY5mNMWyDfWtYMTL6h+n26uHcjm6+svsaevy6n2fDra/+zwhgVzL7L9P76o2m05NLVmiATvn1Pbtk+q/tqnYJwq5LP/x3XsSP/qrcM60u+cUIT7VMHy9Ag2YvL466p9n73FzYINGfYUJ9ju8Ul2oEf1xvurjrUDsqgs4mu5ne1guxp2sF0NO9C+pn3T7gLb1662fdHuB/Z5u7r2WftLbW+7+vZxu4b2YVYjey+zsb2U2aW8fKgiG/hQ6xH2ROt+tim9nb2SkW1/Sutqz6R1t8da5NnDLfrZk2l97ZFWA+ze5BG2JnmU3Z08prx0qSI7pTKyFYkT7JbOM08q26NzWsaNoTIzZcSWI6KuneZUYsYqAL57R6VzKpkb3nfhSbVhWN7CUCBRwTb5WG317DdtYDu4IHxyvRFRAnAKR8zpbsD/5kME4Mdxg0Jbk3mwzi0AuaOFdlbQdnvcM10vgCGx4I4hArjcao6EgG911M4i2gZRE5TPUaaC2Qpt7afnyFhon+IpOXOsMO1HNr9x5XZ92rVEk5sAXESCoF7PFwDnnvR+W0DJT2/8FPhfllC5xz33cj5R1sOXQqmd+r+uY61rpExNpB1quMuMiJyyGaw9lzzYJu7owt1p1CZttZcw4z5rc+VvrEvpHdZr2u2WP/VWGzjlZzZ80jwrKv6xTRx/g5WMvcauHVlmT7boZE8nd7AHknJDNbw3NZxudyWNs00tku0fac3sn2lN7Y20eHuvzRX2dtoV9l7ry+391pfZR20usU/Sf2Cfpde2PZl1bEzxnCrOYMq42XYss3rZkbuTxwalC/enjbI1KUX2bpvYat3jw4wGwUI+pp2Pt60e0Hi7Y8ughGhLj+62uXtP29mlRbUBCzMAOt/u3qha9zjQ7QL7YFRqle1vqwuWvxx8WfCSQJ37hlctE/iu87NpcaHdsj4taWyHcs+r1j0O9a4Z3OPz0rggulzdPn014pLg959OaWqfTY+3r0Zeckp9+rSkcXCP9TMK7KG+OdW6x8Ee5weRdu0c9snkZtXu0+cDGlS+wLFirJ8bUj0yYpkxtnNQhr0zND0omdtR0M6+7Fg98vlFdl3b0qN7MAdUQncyc/tQ1ln2dbvv2xfZ51nJuGurzIMhk+fbR+0vtU8y6trejEttd8Zl9mFGA/sgo6G9m97I3kmPt7fTm9iONs3t762TbHvrFrah5ajAZj7cZrhtTB1lT6b2thfTcuz51M72TKtu9mxqd3sgqa/dmzDAVjcfbKuaD7N7E4faquajbGXzMbYmuTAo1VIwRgEvrrHhjl8K/KhERTZe6yG07z3XLDBApUoABeboI7RlL0uG58ZNs2Zl951U5L152X3BG3kZVZev5ztN9Dy/25ReYMcdsIRXrrq8zDJHfXumP6dwpc2Nq9y5i1v/6oV+khPLmxkc9BUG0QzAqR0xp7sB/5uP/60EgKBeL3uJEoD/NwRgXqMSG5p3clGacf1/GtoOryoBGB+UlimitCalKLRok7XOdyZP+NYUcdw1D1qzq++z5B+us/Yl/2P3thhu96UMsTWJQ+13LQrsgZQBti5xoK1PLLC7UccuAvD7lrn2tzbt7a9p2fbXtPb2Spu2tqVNhm1PTytftJfRwl5v09L+kZ5ib2Qk2SvpWREIwED7oG2s7c5qYLszL7c9mfXtk6x69knWpfZp1iXlUb7Mi+2LzB/Yvqza9lXWhfZGp/QqBODtLq3sUNb37XDWOXY46xw7knW2Hck6yw5lnW1fta9h+9udawezzrbDWd8LAFIkuezqVr2X/B3o/i8iAEMiEYB6/4EE4NLq96kkTACeKOtpD+R3+pcQgGPtzrDjWWfYsXZn2LF25SU3x9p/z45mf8+OZpeX4xzpcLYdyTnHjnQ41z4beEUVAvDC8A72554p9qdereyZ3q3tydwMe6JPpj2a195+17eDPZDfyTb062L39u9h9xT0srd6Nradg9KrEID3eybZnq6NbE+3OPu4a2Pb3T3ePu7exD7q3tTe75pgu7om2nvdkmxX9yR7q3Oa/aNLVkQCsL1ztr3Uvpttyulqm3K62d9yetpLOb3suQ55lnrlWoud9dB3AteUK9fbo5lDQ+9Z0VbHG1PLM5MbU8tPvXtlfcvCKgSA72NZk1J+jRb3c8G+7Jc2Avh3JgDzGpVYbq9fnJRN79/71hDO+FcTgJn1y0lAn15VM/2JZRtsWF75m4D1/CgBOL1HlACcxkMEoKz+8NDLgbQHNUt1CJI18XS9f9GPAKt+I6CoNJo+EyhfjnIWnXr5DRcmi4yoXQL+Ml76nCVMBM4yPEzlsc/cWUR1/QTfeoMowSyJCNvrX1QjwyGyQGMrMqS1DDKw+lz3UT/11louNhSh4OvNVSbF8igRKIF6GnwRFv2ev6NR5F7kXHdBPaCcVcqlz29uNN06jbnzW6M0ncfcGWy9p9IqtoU1mFz8rcWgJFz67fy4EhuR//OTclQj+v48tK5jdcrYYFGn9u3XDj1KY/s99/lGSS1AFVnRuQL7eWs89H86eZIflWMJKCxsXPmmTf1uJRaLyuEvajLFlicVRyZBEf5OnrHeViSOtd8kjrYNKcPs3uQR9puEkfZAy8G2OmGErU4cbg+0GGSPVexgcm/SYFudOCKQg/q7vmWhPdkq1x5I7mfPtO5lj7fsYw+n9LVHUvLsyVa97ImWve2RlFz7U+tu9nSrHvZ0qx62ocVQ25g6KtiBaWPqKPt96wJ7PrWLvZDW2f7SuqP9tXVHeyG1k72SkW0vtcmx51p1tpfTs21Tent7MbWjPdeqs61tMSa0leJDrUfYc6172l/bdLBN6e1tU3p7e7ZVZ/tzWo79tU0Hez61kz2f2sn+1ibb/pyWYy+mdrQnWuYGbXgwbaStSSlfgPpSmw72UpsO9kyrLvZiWif7U2pneyGtkz2f2tmeT+1sL6Xn2POpXezPrTvZK5nZ9mxmXtCfh1qPsEfaDLOnMvrZSxmdbVNmR/tLemd7vk03e6Jlrj3RMtf+1KaH/Tmjm/2pTQ97MjXX/tCqjz3RKs/WtyxfhPhwm+G2odVoW5daaJ1Kfm0dSpdbdtmd1m7GSsua8T+WceUqa3PV3ZZ21T3W6odrrMUP11rm9FW2rtVIuzdldABU9SIl9fH+tFEB8NyYOqrKYmwugpR+C6SubVFk61ILy9+xUY1a7BUVLxycEzst9IIofa5ST+4opb3uV1XML5WK6N0dtBeq816VPC6YEwvip550MGJo3sIgSMKF27JNLGlRIEbv71CJCUtTZZf5PgsuVtc7GLgDFu0wQbICQty1Sc9jGQs31mCZDV8ypr6p7QTA8j+Sr9quzG63k9iF6oYrSoOAHm3eoiblbz1e7oJhklEk0M0AmtrH3bJubz7Zrm53vY1pNzd4sRtxAXcjU5DqpobTgznB3bwYGFMZMoOGZfWHRwnAKRxRAnAaDxIATjBG7QmktBUcd+GRURQALqxTFiIPXNiryctdgLhrkNYWCAzz1fHz40psUt2yIArPtx+yrl6AT8ZTE1btlGFkuwTO1R+tb1B2QDJQm9ReLhzStqk+KqF2T6pbFgB3H2lXf7lFHaP/NMIiMaX1yqpkQmSMPenRMxTNV+aDC5Nl/PiZCA6zM3qWajZpFHl/jYccEsdtUZMpdnOj6TY0b2GVl3EllG2wEX1/brc2q3zDquTFl+poXOgc5jUqCZwcDbtkMK9RiV3TsMzafcdi8G5FK2xh08pxZ+ZHQKOgVqU85RBFPPQ86ojP5OgakRjOP23Dq3kmOUoWlKMntcyWEDzo83mNSqxv75OL1g3LWxjKrmjbyMVNK996qr5z8RwJOefKmpSi4Pee8ChC6UkP56Wig5xnGlcRRYIV1Qgze7Ugfmqwy5jInDJkJF9qt8CYPlf/CFx0vdrndwfi2iCBFY2RPlcUVi9fEnnitrLclEFAVs8YVQ1iq/4yCsv1QwS5tGuc18wssm5boPhk2zM0b2EVECzSTV+k/nOThUVNpgQ7KdEWK4jC+asAhX8R2K3NpljnkwhG/KxJSSBzBo9YK865rucSPMp+EqjTZkif5GOo+9Ixn5XWs3xEXn6AYyk9ZvBGtlSyU/uZhaYcGUCiX1wQP9WKL5lhfXr9orwcCHJMmrHB+vT6hV11eeWaOgJ4tUc2jZiDVQgK/mnrXQbLdD13E9QzeE/acu+7NE7UMY4NM+v6nT6bcOnIKAE4hSNKAE7jEek9AB6s0+EK6NJQCYzq1ITlFqCaXDIWjCLPblAaKiFSxNuXEMnI0BhoMute+lwAl0REBliggp/Pa1QSRPdpDLyjl4HxIJklS3xuab2yKlFxGRLJWHJd1GSKTapbGb2X4VF/9XsZST2bxj3S53RUXNwkg8v7zomdFooC0fCJxGhsNJbMxjDLo+fKoC6tIFaT6oazG/Mbl6/HmNRhjo1odbMtTZwYMrZK9xL0qY1L4NSlcyQyBAUkdPMbl4PghLKq5KNb91/YwqbhvebpVFmiJTkwHS0HR0ek60iYCE7pTAl8WSrHTI8ncxxzgXLpqCcfi5tOthuuKP3Ol/t1GL0ySJVL1vPjKkEQdcRn9rRrl/rABfPSd/VfGUC1jYRF89WX1fnsF50/gwOcK56Yc0tQPYfjqKCDviMQ1XXUBUZEOa8JMvzYEoATjBFc6DoCvEgBjvmNS6xj4XcDWem2or+0+3yGJ49ejpzr/vvZDUptYdOp3wmsO4250264ohKQK6Mlm6u2cS6zJDQSQKRd0rWFdcoCW7/U2bc5sdNsYdOpNixvYZWSkYSy+2x0/gK7vXnlG6dJdBV0IenV39IH2sdFTaaEylAlP9ooBac0PrQ7uqcfF/oF/U2Z8P0c0jmCb9kS2VrJXwEvb29kZ7xt0XU3XFFq41r/yPqn/8RGtLrZbriiMpjBMmHaN/oib0vp20VSNM4iI3oLt/was/nsR2GdykAcA4HybSzZ1VxeED818Fu0CfQ90QzAqR1RAnAaD24DqglCgOgzAAREnGgsy1HkhVFXGlzW9eu+AhSR1hFokstBs11yEj4iMaluWfAbOi2CaZYL+b7KIAgE0vjQYbP0xd+HRIP3ZQSdkVw+X8+SMSQIItDT//USHslfJ6PnPCV3Gm09i4ZVYIMykJMgoaJT8MZ3doNSK6g1PeSsSf7YLukWMw4sb6ITYZSd+iDwR0emPrM0aE5s+XstZmbdELzXYn7jkpDR91FQghzpop8LzDiwNEljzy1wdR2jkmor5xmJIftLMObJgtd93nth4/KF8KPyF1QhQYnIwPwf9v42VNc0Pet9B6hJKula2h3Lrq5UWW/9Ur0kiK4PS7YlhIhGyV5QGLPsdKcJpF6662XOEIre1iaUoWgqVnbtgu5oVbrsNq4VTSSEDfGjKAhREQnol+gXhWAS0OgHE4OQbNN59ofq/5i/ccx7NvTc257u5HlgMMd8xv1yXed1nsd5HOd13dd9lCCrvtW3BEkx4FKC/HqJgtVdiYbkqmP1X8mLFdDto6Jkq8Ylftca68PdvzHa4kLrhCXlEpP/43/+3ku/aQZLzGsJXyJCwh8x37HO3yTKCrNmEF579Ll3Xth4i7XP/7cHrl/BaWcVIseN0/YtXDbuKzw441HM5WPf9X/9f54+cO3/ddieTz/8/JUZmiWWvmhNzKpN7UhnTFu5XvFiTO0MYe19+n/5K6fv+5YfPP3l/8v//fT933T9ynG+4FIMFg+bTanN2jvsEkPyc+PHtobl5Zz+rQ2RWftrflKghTUvP/DC5XXzZZ/VWmzyO3FvlwjnQ+KdOdPx697O+u9sqHjhd+X7+pUNsnl9a4zE13K+Oa3cULyJQfbNNqzQ+Ivv/thZANzG5ywA7uDnLADOAuB3swCIgDpb8rtFANSHTz/8/OnFP/HODMz3/4kfOP0/3n/j2YqzAPj/LwFw6bOPPH/6/j/xA6dn/9Qrp6f/l3d2OTP+vloCoD489Ye+7/R9/+s77fm+//UHLtsT8fwfRQB0TNX24v4sAM4C4CwA/vt8zgLgDn4SAM+/78ZDwAGzgRhA7RSbS18k77s8wfMEL0m7gdZbNgPnwGbPKQEI0JJe2yiJNmmUkF996LnTx99z/fTx91y/0n5/SvIuwyjJR2a6X+C3S5YCLq9/RCoC7jceffbKswMScIXF2srlTQJv3y2I1maTR0nFpUyOb4D92Q984vTE3S9cmZLt79pyl46VUEq2+Y+kLEIpIXf637W+JSCX70TkOm7buKKq6yjQSrRO6UsM1j71UcIUmfCa/l/ClO33+YGSqeJmk5TCbUVMPuZysBK7z5SskNX36qN+3neubZbYuCxOgdU1s6e4kB02UbemfgVh2GKsdR/X/5vAva4EofYUf/tSwEifRDLxYLsitcaq5Dn8aHwjZ+KNQqrrtuRE23bN2iOh3WJI11Roh2GNSddpvMS+Nx599tKXfF7DJW0u+1Kwi02L2+LQjkVLerRNgr7+6RdXlkd9qe3aR6HtmInN+lb4oB3Dg9oe8bQgIkleURJuJKJqw8ffc6OIJuZZYNhiiPi1xabs21iJ8Qlh+5mdNv91XjZXeLv8qPP3OG1m/IXHKxJWbDVeFrcsBHQdYyBMXLts3Du+PeweNnXN2qIdO/977jk/A3A7n7MAuIMfnwEIJFyPL2G2eq4AMCDdTqtrSRQKRJN/QGfgS44kGJI/K4GBhxWurdL2sNDH33P9kqyXJI7aVZu1g2TahGEVRBtkywVmE5BJxUpH1absKABu1TdQjQDv2lBtZmVqhZiiTwHl95JXibRJQyJo+7TZVrnzGYVHxwnmkamqNZvAIz32qySoGDOhvTlERTIk2ZCol4iPSNsS3xXXEdzGyOTS7zsDkC/lDys6JGz6pw8lJh59WDfS2rXzXWNDAll176iSfJTQXWf+2Q984rJSbQzXx33exn70sztKLQHcgoNFgHy5Xcd8RuS1h5+70rd8KJIuoW68va6CsGMU7oqrruv98qfEgAUARb4+47gXM5Hknq9QSHnsxtmK1r7Ltp1T+4sRRbGY5Hf1e2OqOBSjxdzaUB96AZSzrj0/skLV8V1Cq+jqfvpYx33uQ09fGe+tMHdvRazFKgVJv+tv4YgzleFP7bS/+UK+aqXdanTXXn8slxsvXStBp0AzRxtzR4Q9jDTflxv1HXHM4kfnyiUaV22T/X3+rHtlO2det4jQ8cX0ir9n7rl+xW8c332+Twx4/n3nZwBu53MWAHfwczQDIIGxOixpMmkUkFbPF/SdtqxaYiKTgEU+TFIrCiQPXVOSbHu71xJap2G3Gt41uofkWwL+yoPPnx6/6+lLQHFa08qQ50sUtlq1xNUdDjwvENrKylYxu66k/tq91y+3V1OYBMySGvu6MymRmtr79peWIS2Zze5Ws/t+H7osQZWk8iFFnRXU7mUyawmFFTL9p8RZ37TXx99z4/0MChYJtMm0f23bUZV8q5+OTeO/8acN1o9MRCb97NH3xlb3U5TrW/a3JStHFcXdAzyissJxiVPH9p39LW5W5K2Pv/Hos6ePv+f6lXHcyrnX3epkbagP6+v6riR2+1YMeV2FmGLEgkLxk69HJCK+kUEJaj61BNwCSPYSO7Zyu4St41yOKcnUr8Iy7ZBf6Cf5m6LApVTau2JFuJkNOt4xl8DVLn26YonLtSz+ZH8FWX6hwE88feb9nzz9n1/a4ldSLk5lYzHgibtfOD1x9wuX+K+9ih99vJxVfxo/xZRjbn8chy0iFI+Lw85COENaW+rPzlCag/VlRbl5e4t6Gz/u9Gex5dWH3inQueGERQwLXRZCwsRmVTpf/7cQUn8VThu74VrxLl5kX/PMWQDc3ucsAO7gJwHw/d/0kSvk99WHnruy1ZXVJhNJgWHlTVGw6/0VB844RMKtajid+vojN57Ct0qV2m9KeteuS0YCqSqvknmnAet7dgjMncVY0mm1QkDZKpDLUXbWpKTVvdqK9IjUSyA81oRSknCGw8Rf8thKbODoexi2wr0gWaWqvlrxrb0lOaftrb7Up5KP1XOr7YLwyw+8cGUJQvdZ4pqf+L3rQLcNta/fEwzbhv6uD332A5+43HVEQtb/TejFjYSqmNDOje1OpzceCoHaoACqn8WAY+msgmS4RL+kciu9b0HEjJ/sZ1UxAuVyCQlHgnx39lkxJ6lPPDkWLWmRxCja8gfH4i0I4OKL5NelRMaOS5/Csf6vn0twFUdbdHEtt2MgofJ5kO3bfudx2nKLOfmHIq7vnDWVxB6dr58qai16FBdLyhWnK3rtl3bVvvu37lVsbPy4pLNzFnebETgiuZ3XNXx2Q39cQvuZ93/yypasiqolruaqXRK6RZrNO+a3inTO9nW+OdhZNPurT21xb99BI56JLeX3x+96+rKAln9swUw8cnbDa4pTVuprs/61Qje88d065lWvsYUTse0T937XWQDcxucsAO7gxxmABVgBOJLx5gefOX3hS28T9EFhyZzVioia6/mtanzuQ09fJlevUZXg4++5kVwEWZOmMwoFcwC0BFMCpljYKcmdVrRaUsILUKpEvfrQ1f3gJYhWjLSxFfFd1hEAfvYDn7gyLXmUoKt2LFCZ/AR8xYlVktpVBeUz7//klW3TunZjaIKKBFk1E7yddn75gRcul2JJpo+ET3awSp4trRJtNUd/ttLv+C/psjL/8ffcGAsrPbWrSlWia9u7QnfJlku0dhvcrca1JtjE3U9kuxm44miJulUzBYAzHlbkii/jT3LR976TwSStyD6aMdgZk9qwyXpncxTutbM2Z7vIgSJ2Y0Obd0w45XIC9/33QUHHIh/IhxQ3xYEx0bKWxYaEkWRWYb6EWNu6PEkyeSR03V5SrLCyvrO0fhd+1IeN4fX9Yl9M1v8lzgqevnc54QrwsEs/bTbpCCMdNwsG5i+Fv4Wt/FYi2BhUNFJgvfbwjXfAFIO2tb6ah/TJ7qmgtxCUSPS+HnckoIt/Z92PCgkK9i0M9FJB88UKNomzxR9nhHrIe2OhH/3Sa+6D5uZ8salzKxA6K9CMjcWBrr/x11iafxYfzzMAt/c5C4A7+DkLgLMAOAuAswA4C4CzADgLgLMAOAuAswD4an/OAuAOfhIAT773o5eJJMd3ujZn3zWUkQGnyE0CgoTnSMIkbS6NaXmBU4qdu0AZsBrMCpGAqOA1EQVQu+PKAlBAGoDXrvrZ3yQvgqDTiyVIn5uIbDsOJV6vZwJ1XWT3kjAFrILzFz785KXg2MT+4n3XrqxFrS2SuQjKJn8JpEnI5xjsQ310mtzrSFK1iedkt53eNaHkG5Kivo8wb8KRIJRsTZ5dUz9q/a8+tVPRisL8Kd/xnvVhfb9EezR9r+1cklF7FeC2oR23isGEVWOUj/kSt02GtUPiG3mX/F679/ql6JewScbqR7FhXHdcRELyvSQ5e63N86kVjsWkvuWYGe8d63WLfQVlbRZL8998PNvkDy4NLLbz33ys8TROssUWcvr743c9fYUE5XPisv2y4FBfxJsj4ZeAEoPEL30sH5JESdi2bQoqsaO/++xQMSJRF+8Xm11Osr50JOw9tiWs+nntFbuKPbdwzd+WYIsNtjVs7SH24rO4yQZ9V9x6fYltRavFuOxhLjUXFA8WTvTB+l68LMG2+OZYFW8Jg44XF7Zo1PV9hsN77cPNxqaFBPOEf/Na3s889trDz52XAN3m5ywA7uBHAaCaL4hMJpFTKwoBwSYcr2FC7u8mvZKta/hNyEs4OjZg69gSgUnWCowEsSqzYGD1z50jllyZvCTpiqRdo2kltO+sJgd+2T+ipWCSgCSMrNR3rsSmCv2CV+ApMal9VZwjx1Z+G8PWekqqtYnJViKpHXeGxpkVSUXHShSWQOp7S3wiS1ZYG5/1sRKBNvJHH+247N11I6T2twSkeF0hvZV6SeerDz13ZUeL2tvaVW3ZrFv9XdK3Vdeqk5tQV7Q1bpsYO1c7Zpt821ioPxK2xI7YsoRqSVNktLGw7bZ/SXvt2sppMdT5xfQWOBR3VnKLgX2uQYKu33jNJY7aK1JkH7Obfr6zSNkrgeeD2pIYsbgYdC33bicrtjYWR7OLYkBVXmeEa7vCwjGWtIndxkk+a0wY5xaEjvKE4yu+9RyP8frGozdm/cJHscpjm7FQUIZfVqizY31sZr3274OsHavILG4cy+7XOOY37lxj7smOElpFvLaxoKWYU2hsEcOcJM74zo3iwb/Xb8WcbVl/aYbO4qAYHfblqzvr35gZj/GZo5xUe1+6/9rp+7/pPANwO5+zALiDnwTAJ+79rksQbrmBSzkC9kBccDfIJMuB9U6XClRWZBawC2Qro4GCRLLruUTEyv1WmG9FaH0AMLBdQmvF0++2orgkxgqZx0pArGhla4nCVtftr6TOYxa8s6virZ/AesXNCrkISETXpRgLtladPP/lB96ZRvbagbGJUQHmbiE+7BwRdvmRFR6Tmu2oz0tWBHiTXPbRH9vNQlGb/dcfS9SSO2e1TN7GwSsP3nhx1iadiLRkfXeucFarNjkWEXCXPBnzHttY91B0bfRFPs48JDCW0O6OXWMygDwAACAASURBVJEqfa/ZI+1T1VF75/tbQe3/joPLpo6IoOPzmfd/8soLnTamtaPLAC2GWOHdWYG+N35WuIZt+32iT4xeexg/9dGiR98rSPOXxTaLIp2Tf1n1Dau0rT60/bW94aPEdJdzWVXX/s4C1jeJZHGyuN3fFEfZVcEaLufrCYBIbzHhEtQlqcWr8bRVbkV5NrfKXgwqKPN1ib5Cp/zmDMq2I5/WnyTeiurw2Twj1tteZwytwOdX5uV+d7mrQtO4zq7GSXi9IsT2OUP64n03LwFShGev2iDm5Bv63fk9ALf3+R0tAH7913/99Ff+yl85fdu3fdvp3e9+9+ni4uL0t/7W3zo89l//6399+rZv+7bTN3zDN5ze/e53n777u7/79B//43+86bgvfvGLpx/+4R8+PfTQQ6ev/dqvPX3zN3/z6Sd/8idvq31HS4BKuk6zt0yloDQZOX0o2QuArKgFXFZVOl+gkkQtkSuxlmwEZwli7fAp/+7X/7vXVq6syAsiTrNbnXIKubZ17JISk4EV3gDUqrBT7jvrIVi3lnOr1lZt64OEbMnvVnhKyI65ws23qZr8JR8RIn2hcbOPJYlsYoIrKWrbFVGbbBUKJmTJxm4ZagJZcmT1qPF3Z6m+d0Zm25PvVSGU3ErOJBH5nYTCe2X3bLAVY8eiuJCMNhYr/JY0N7b5ooSscd4KZAndcV/B0jVrt/GrL0kWFYO7zECfjqzoC5IRk38+1d+WCC9xlITlvwmGjnvi7huC1vF5+YEXLiuf+pgVZW3W/RRiYbU47AyNlWevFxYoQl+6/9rp7ceeuhwrBcuSnmKg9juW/8f//L2XMbw2bkwl1ApNK/EKxfq4x1pcEGdrr6Q+QrozKdrTsXU9vyQ139EXrMAf2XxnAfWbfGXFiTGh6EoAK6Drz5LfMNRriGP7zIRx8OJ9N166pt/0//p3FEc+86fQMz/2//rgrOnOdIU3iu1mLRevsqF2qH21Qy6ysxHZovPEN/tbm8w/T773LABu5/M7WgD8wi/8wuni4uL0h//wHz59y7d8yy0FwC/90i+d/uAf/IOnRx999PTZz3729Oqrr57e/e53n/7oH/2jp9/8zd+8cuxLL710uri4OD399NOnv/E3/sbp27/9208XFxenv/t3/+5X3L6zADgLgLMAOAuAswA4C4CzADgLgLMAOAuAr/bnd7QA+I3f+I3Tv//3//50Op1OP/dzP3dLAfDss8+e7rrrrtO/+3f/7vK7f/AP/sHp4uLi9Pbbb19+98u//Mun3/f7ft/p+eefv/zut3/7t09/6k/9qdP9999/+q3f+q2vqH1HuwCZJDbAFhD6m4EhOAnYgbQkfR8iMjksYetaLpEQ0EoEronewO+YJXp93+/tLb+ksGMWDNr3XQDdB4olAL3Z0cQXOHbNQH13Ceq7fUCs6cwVFhLZknf9VmA5fV671taN4xKhEnRJ0J2QFA0rprSj0+5OL+cnku/ak70TR5FDhVikTkLWvUpQfqcdNxHYLtvQfSOmTd97fuOhwIlY6Tfe21iR8EiKu3/tyu7Zq+NWtGZrd+boXp/70NM3JdL6qLBcIaJt8gVjuFiyuBB++P/GJCyRbOlvinTHWdySoGbHRIoPOD9x9wtXhHxxuULZe4hzkTNFl3bedd9boEgc7fi6DEoxbAwpFOqbpCzM+cKHnzx94cNPXhGTS1C7tkWaRJSxq18pwF9/5NkrLzOzXV43n19SJaG2kCGO+/ejpXUr9HxQVv8/KoREnosNCwZbgCqntaxlBZbt1j/0z0SWYru2KhyLm/q1y7nE4vBqxWDnNm5bpDJnvM3mAFvUMt7KVdmgN1B3f4tpxoYvauu++bv3WiFmvK2Pl9PMq9ovP69gs+2pL8ZfmPfmB5+5XPq1wuflB144Xb/v/AzA7Xx+RwsAP19OAPyhP/SHTt/5nd950/cf/OAHT3/6T//py/+/+eabp4uLi9O/+lf/6spxP/mTP3m6uLg4/eN//I+/ojb5DIAVvRLKkYIOYFTHAp1ALgmy4rRJy1edW/11V5yCUxIgUdr1i1uVtIol0AmmttUkveTV5FGfArD6UCJY8m9VRgCTZH32A5+4fBnStXtvrDlt3an9rK/d37Z1XSsxtdlk2XFbGQsAS16uIbdaJxnWXo6Z4/PifTdeaLbJ0Oq+4s6KnuO6Mzclo52ZkBzlQ42d7e7YrSoqTiIuVckizCu2tl36Q2Sz37WDAi3x4zFbhXKXnqp3kT5FRLFbH3aWQcJ8RMzdAlPbbOKsjUuYuo6Va7937KzySnCaYdHGJWhJlLjlmt7u7QPw9cvYary6hruMFN8rxCJjiu38WbIWiVfIiCH6roJQu1exXHG0grR40Y5dL4FjDGVn/VECtdVsCy/ZfTHa50tqf8drG8Xj5okwbGPyrZktq80rbjzHAkk4tmS2Qob93qLFqw/dmNGSbBvvO3OqGBS/jmY9Pb94OspJEdpta3GhUF1R3LWc6X/5gRcudwdaMVZbFRwryIyPjluRaMFBoZD/SPBttyJkhUtjIgYYx3sdi1WKBcW3bQtj65NFmrMAuL3P73oB8Mu//Muni4uL0w//8A/fdM53f/d3n97znvdc/v+pp546fcM3fMPpt3/7t68c92//7b89XVxcnH7kR37kK2qTbwIumI+2d1yia4VYcAkIInc+gNcxknoJ2Fblq0gLAlVzuv/H33P9sEphtaZzq0pFrAz2AKL72zaTrCRfElW/TYZOW0vYTYBb4Vria7VFomYVvCS4RDi7On0q2Gt3BcOSIIVWY5PdTC4mKH+qECscGwP955UHnz+9/dhTl2TQypX96d5Wc/vebSMlXBJql4601GYrSdojH/I6khpnLvLDzpF8lxwd3602W1FXLDSj4PS6hGkfBs33luyseHJmQh9zCc9WTUvcErytlNef2ug4Lvl2vK/de/1yZxD3bV+RKBGUeN+KVDiOkSP9S3+VEKzArG9WG2uPcfn5x546ff6xpy5xYn03wSYGOKba2lksxcJWmN0OOBx3ptDZjcZEjA9bV8xZMDAOV0zrD0dFhMZO/Fu/z659r6BMAPi2eAsRCsp8xZi04GDhZDG+fibq99hr916/QgTX33d5nVtadp98rHxhP1Y0SHK/8OEnL2OnglDnm2sVxuKQeVefVjw67jt7a7FC7K7g55hpe7EuO8oxwqL6ns30E3deWjHc2G6hScHQvVreVU4zhsMG2xVGubtQ+KKvn98DcHuf3/UCoO9//Md//KZzPvWpT50uLi5Ov/Ebv3E6nU6nb//2bz898sgjNx33X//rfz1dXFycXnrppVve/1d+5VdOP//zP3/l52d+5mdOFxcXp++556NXAjQQ2Ur7VjWqZBnMEuejqpNg0O9bhQqABKSC1fXWzliUwArUrTz0f58FEABefegGWPtsgMB8BKo7W6E4ascIt76rcuyadqt/tVUxs9UQlxEsUbS9S2Ad2+xmot7KkpVDk3GJQKCVSNrWkohEw4S3laEjIraiIEC/du/1K9P0tckZj+yaf2zVtipehCxyJpl0RscKmZWwpr536U9t3b3gdwmQyX+fAXBpibFV9c+YfPWh5y53JFl/Klnn87tdr8TmlQefv7IzlsnQafCWXq0o9vejrW0lK4kpxXL9O1rK5vLB+rP+FAnbtoQ3+ohEUMKnkHIGILK3sxi7xCPfOxJnEqTOra31obaET12j/3dO/VL0bTVY+60ILG52FsWZGbEi0uk9K9gc+bMCWsGySw7bTak291PbFW5inMI8nzFPRBrFGs/dmaitLJe7IuyK4mztjGFt/ewHPnEpWMRw8aGxLJ91/eLEeNjtU82fWyjJn7WD421FPFto8/Bmi3jhjbHq+BxxBrEw/DhaUlbfJOD51eZgfWTbocAytyYIXrr/2k2z6QpEOYOFiBUVCv/zDMDtfX7XC4Cf/dmfPV1cXJx+6qd+6qZzXn755dPFxcXpP//n/3w6nU6nb/3Wbz19+MMfvum4L37xi6eLi4vT933f993y/j/4gz94uri4OPx5/n0fuSlhGbSBy1EiWVDbamoB0j7mEoyOcwpPoeGUZNuTSnxLmN5fFW8yc8q8dkiABH4BZYGn40zoVYUkvxFRgTUAFeSsqDm7oQ0lUVaX7K/kyKpztlvb2CYJokmvBCVJjEQ7Xjs7oL0ivgJ+xGC3FjwSmZJ9hZxVOYVURN9kv8Qp8mTF1IqrVTyJ/1aeO3/JUWMmUSiOdrmE59YWK7G2z+pevzerIRnVz7dKq5iLCCQW9j7rS9na9hqH+rPHO/NTGyTUCfGqeIpJ71e79LGIVn8rThpjibpjlO0qKnS+MwNVCxUtrzx49Z0o+UWxs8UQ/cRjFN6NU34rthhnS2Iko24QsOL/ibtvXcgwzur/xoTj2T26noWXHX8JVOfZ38fvevoK5kX2itOdzfE74zjsrPhzVOWuSr19uxXmhzHO7PR8jLataGDbqmKLQ2LJiur8VvuubX2mTBwp5lc0SbzF/mLnaHyMK7FSoRyxXtFUDqyfLhdUsOQ3YpI5VZsrwsX47i1eKSB2JmZn27NxL9Vb7DQnyj2Mw8YovDm/COz2Pr/rBcD/CDMAZwFwFgBnAXAWAGcBcBYAZwFwFgBnAXAWAF+tz+96AfCVPgPw9V//9f8/fwbg+fd95AoAm3ALLkGz75uyNfEGCJLz/l6i2WnCEvmSNsGngFsiWWAuUC3YBnBOK3tfA1+SIUCUiASUiKXEyeOctq59T9x99U2rAaLArA1cblM7Xn/k6rpIE97RQ4T1u6noEo79e/2Rq9s2CohdO1s37kc2M4nW1pYyuHyhJTwuNekeAvau07Zf9jtglyzZ3hWvXkdymZ3tm8m8RHMkCCMZ3kvfWELgPRvvjtfvavMKU/27vkq0N2kdtUHb9XfFefZf35ZISz5M+ra/fokx3ScCIdlZAd642E/xQNElCTIudonD4sWR/x6JMAmIOLfL9TpeslMcKjLXJ7Sz4lT8sl0WZ3asdmesYsilIBZ4HDMLFEfiYW32yoNXXyKp4DIuj8YsP+z+W8iwv67D3uV1iUkxUx9ef1qbWyjZ9m7c1OaNr/zDY8JWx8xzG5982muWY8SXjqlAtAJs+2sMuFObRTRtsSLJXKKPmau8jznBPH4ror2Cs/jdAtTi6+Lottf7L65uIUxfKl+Vg7xGvt1352cAbu/zu14AnE6n0z333HPLXYC+9Vu/9fL/f/2v//XDXYB+4id+4nRxcXH62Z/92a+oTQqATXoS1K3uWlFd8FpgXCLndyXDI3VeGwTewEKAOAIZg36Bu6Qq4NdWAdTEt8lBAC7pL+FaMiSYLqiVCLV5yeNIjGUb2yOg2uetHnZ+5/hdyeWIwDhm9UlylQ8sme1v9q2kpW12zBbYj8B+/cXvtHnEyzY4S6TNFZO2fx9Il4AtSdWHtnJ75M/GjInOsblVojUx+bMxUbsSER3T/Y/83HOP+qitlkStn+lrm+i9nmJ0fS9BsriSH211fX1c/852nqO9+v9WrjfuIrhihn7juGVH+2m/86f1Z/3WPjkmGwtWTNd39f8dt429jS/H7Ahj67+/e41tr/bsfivWt1ji+QqM2ljxaYs3mz+0n/fSFvrdl8OlHe8jW9bOjX1jJdvaj/ry2sPPXZnlsDAm3pizjefXH7nxbIQzJkdjrX9rLzHSHGfMdNxRLEj+V2wd5TrxKuy4le8fxX4+Jl52jb3Xaw9ffUv54sM+fyLunWcAbu9zFgCn0+mTn/zk6a677jr94i/+4uV3//Af/sPTxcXF6Ud/9Ecvv/ulX/qlW74H4Ju+6Zv+v3oPwAaTjr7TuJukl3QLjBuQgoHXfOPRGxVt/27wb/VeEI2k7fZqXsv+bDVsq3j9zSB35wft5TTmPvhZUreqtQBmYlRc1UfHwqnRo+R/lIiPpv8FWGcH7O+SaCtXVh1XQC1B3YpR1U/vX5u67xL1owTXmO00vW03wepPK16OEvES/qPkv0mhpCO563zJxxJ7r/3yAy9cmRWpvyuWJLI77V3/bN+L993YojcBtgS0flUl9Lvst7OE2e7IB5b09eCqBMY+et7ReBwtj5LsSBSWdLpjk7aR/CyJsO+JDGcX8kN91Yf+IzC2V3+3bZ27tgt7tj9H2NWs47440GNvJTwlkhLBLWSIrT6IXF89fwsdEsEq3YoVZyFWgBY3rz184+VZ9WWXBq2YDIu11ZL2Vx+6QbDF9Pwu3zGu93qbM4wv3zfROOVT67uK3UhsBN44cRy1s997jar+u5OYfrazwPpb1xO7w0FtIPaKC2L2Co/61ZjZ150V1D8ULOYDxbLxd/Sw/s6a15fs3lIvN13Qd88vAru9z+94AfDX/tpfO336058+Pfvss6eLi4vTX/gLf+H06U9/+vTpT3/69Ku/+qun0+l0+sVf/MXTN37jN54effTR04/8yI+cfuiHfuj07ne/+/TN3/zNl+v/+/RcwDPPPHP6/Oc/f/km4J/4iZ/4ituWAPieez56ZbpLktZSDYln04eujdvqo0Au0X/lweevrGf02gZpAFNy8Q2rAkfrITcpCmIBegDn8QGzwVx7C36Tnkndil796roRUcFn34qqWFiQte2RrgCqSpCCxqrrJtRdBy04b0IXsHe5QNWRI8LqlK+JTLtt3xQ8kdQIxSab1t+2Bje/6DmFJb6+tGXHVILovZzJyX4v3X/t8g2vfuc5rmd1jLcSJWlUBHq9J+5+4UoMWKmSfO619N3uvcvt+lfimw1X4G11WNKr2Oj+ioJ8wFhwyUZjYvVQP8ieKy4ltcZvoro+t5yofxW5+c6Syfxcm0fAFBOSHcfX/eC1wS41kFRIEBUijo/rvLXRW19afrlV451haUx7c68ER7sswVZAL6nt9y0gFNtW5MNuRagzhWKTonl9qV2DHJ+Pv+f6ZTX7KK4luYpyieP6en5bXjKn5F9bINiiQ/f1mP62OaX2vPLgjedifKHgVu8T5fp/13BJaDguZrVr1togzDWuFI7mur47KkTs7Ipt8LqNqWPtGFmN31np7uuzhMaufTgS8x23cSkm9524pIipjeLm99xzFgC38/kdLwAefPDBW+6+8wu/8AuXx/38z//86c/+2T97+vqv//rTH/gDf+D0sY997PQf/sN/uOl6X/ziF08/9EM/dHrwwQdPX/M1X3P6I3/kj5z+zt/5O7fVtrMAOAuAswA4C4CzADgLgLMAOAuAswA4C4Cv9ud3vAD4H/mTALh+342HgCMR7q9eAEoyDFSDwyQo8BV8EpcCT/IZkEWonV4usNtbuR0J+tf9xl1CE3ArQurbTuktCQ3cOqZzBFXJgvfbhBu4KGhq5xKYJZRLFh2HbCtRCxhbSnIkWLSPpEuwNOFnO5dZNT5HxLYEXb82MWrzvZ8gXL8cs3Zo0Q5d5815A66+Yz8E+9opcTH5OwaSaAWzS6g8xoTmNdqBRpFoUtyEE7lYf2pMEogd/8qDz5+euPud3S4iltpcoepYKhT1YXcUqU/5l8uFVky6L3d2WB/teoq5xkMfcVy9Tu11d6/O0V5H4j7bGDs+4Lzjmy+LmdlQPGznMwXPirXu9/aXXhy25D0cfvWh564sLWq8JK76mnYRpzr3yP/7v+3Nxt4rwVPbuueL9127fHeHOUFxkR3t1/p+9z8qMOQLrz383KVf+wBsY6mPS9j1f21ojFrsMh6zq0J0n1cQW1aY1IYdm65rXg0rHF9tuLFmTGZzhZr+vsUYx93vxf0tYngNCb9tMJetGNuc0hIbj62vu+tT5yuUw1JF9RJ/C4rmQ+2wuNs4WuTZZydefuCF0/d/0/kh4Nv5nAXAHfwoAATQDSAT52fe/8nLhG5VT3ApYW5FQRIgGd0qeEC3Cn0JuW9YfOPRZy/JjtWC7UsVwwVgwbbzaqvJpGcU9rq97MUfq2IShE12JgVtcCSkJBFWyGrn7ixSIt3kH8C5G0RtkxD0feTDXRIk2jtDIpkvEfr9EUgfkZVbkcbObTz7++5OpBiURCXmnrj7hZuSUwQnm5dkliz19yfuvvosgGS6ZGOiKlnZriUr+xCwxGdFSNXgBMCPffjJy60qbbNV3doiudFGieAtApSs176SMEmGYyEmbBGhqmfX6HcJvESw45rlOarKb5y5Dnzjxhh7/ZFnL99Eqgjt/gkn4/doG8zPvP+TV7Y/VphEghvD7PX5x566Yq+3mGk1fmq/Y1p/fcFRtnIsFbaLg4ra4ldMti8RoX0Bo9VTi0rGebFm7ESu8n+JdueH8eH86488e2Wb4yXbjtnmj/DDsV9hWN+KpSXl4byCULtp8yWu2lk7dq9iOFzuhXkK/rDG+yeoFWv5ftewANAMmtiQTxhrFvDs21ERr9hpLJwFXGGx8Wr76nvHZu9bzTbYh563KNaaXZHsLw4pnrOPgtH+KJRfvP8vnQXAbXzOAuAOflwCFPgUYFX3fDtkYGPSCGCd/hQEBKGCqICqur1EUDA6qvQpQI6qWVtlFtADCUGttwIuUS8BWGGOnCyIR4i9bsnavclNIiu2FtysVGy1X/vWpyqgEkSJ11bXJJyNjVUS7SBZKgFtdW3BuqqOCXHvqS80bvqIPmAfAmaJRXby2L7XV2pj5/sA4SsPPn+ZLLcSFJHKrpEP+5HfOiYmk33QPds47rXbftcGRdsKgfylcTMmJOSK8sR1y5xee/gdEqpoqT/O5ixB3KUlJntFfEJ547l77P2M38Ztl1nlowoAq4ziUfFjGzwuYpV9tZfC0yq3+BBJeePRG2S2wkG+0jUk6vVtCVDkxiUt+aF+vpV7+3bt3uunx+96+kpl1Wtb/U7Edt0El+NrIWGXmBSbS6hfvO+qMCnunGWqzf6+Y+R1fdvrtmHJd309Eol7v8bjTYR1bfV6YogEUWFtnK9txOEtvjke4k1+Y+zv7OWRWMl2CQ0x2njegtvRNY6KSv5d8aS4tTgivvVm4MbCa9Uv82lvXN+8UAGs783PxZ8zPGKeYkP/ED+8T8K+8TnPANze5ywA7uBHAWDCKUB2acSStoJ4AyfSuQBYAnDq7ghkCn4JsVVap+KWaJX8d3paEiaxsXJqlcAdATYxRPZLEB5nkvVcz7edgb0V+P5mJVnArq8Sj9pg9XwTT+An0RJY+5sVPgn3rSr9Er4dQ0XFEZAu4Pp3CbwJqeTYdV2TXlv05araSzxNipIvBYOEw8Qr4duK+JE/u2Rpx6Dz6qezONlEYnkUpyW47u8Stq6x67CtHCuKS6SRGavuu+e6Y2bsv/bwO0nSMS5ZKwqM3X3XwhYSnHFcXFkyfhR/3UfB0PkKgzcefWcGoPjW97qXBMYYaJvFxqRKdu1rqU+zNl23e+m72x9xt/Gpb63xF/MSNBGgMKt+f+5DT18hS8aOvhAuSe4iyFaRxWtxq3Ptw94zIphd9VPjdMe560v2t6KrnXcJXXi+uHAkCvLBFSxiW33UB2v/W1/KLV63ey/WbOGlMQib1qfNPRXHEoRiVueG8T4z41K8o4KNcXC0/O7F+67dNBtUPlrMsChVLleAN3u2PCJ76zfmEnNo+LN+6bW2cGNhxZkn7ZE/+XzR9fvOAuB2PmcBcAc/CoCtRFt1Nrg2cfavoBhJkLQI4AJtpEIxELhI9l1Ws9WpNx599gqY1d5dE1vl3Da4jtQKW88GCD4JGIFZsFtQE+QlEFb4a+NWgeq7wiWCEWDvlPOSq/p0q+0cFUCNqwBcsrfC7D2XKJi0s/Um3CXmtctzTFq1U78z6TtbkP1NDutLW1n1miWhfve6JcBNHv3eA8oJEq9rBT57ZY981yqsCdVK3hKNkpkiaKtWO5b2uZh2pkff2+r9ku6d1doqpgRyxa9kIB9bwbLLuRS6CvjGynHP/4314jLhYRsi4Ss6FIiLXytIrdg2Vgp8xZV4pG02JmxfIq/YN07EU8f/rS/NSi6xFKNffuCF0+N3PX3F17XNVpMtOjir5eyI/qyNjrBgizT5wi6l/PxjT90kaLfan98s7ubn+pMiwKUwEUV93ur5PltUGzu2eHzp/hvC/OPvufpQb7ZqLI5EzD7ALp7o/xWc6lciT/LqzIsP0FoYEIcT5Mb1Fg7MCQpNl6w1ZgqcfNLiXnFhft8HvxWiWyARa+QM5b7a5XJOr914KBb1w81rWxz8gQf/4lkA3MbnLADu4OcsAM4C4CwAzgLgLADOAuAsAM4C4CwAzgLgq/05C4A7+EkAfP83feTKNLYkpQALLEoyL91/7QpZESSW0HTNwM1gCgRfe/jGspqCStDwdfa3WlMfIG37ulbA6jESIZOpACBpPUq8gZ/T613XNjidbYJzzWgPuGmXfg8U35zlJNm3ZSuR0Y53fF57+MaL3SQ6n3n/J09P3H1195qIg0AnwXUsj/xGEinhUvA0liU7z22sXn7g6tS7CXeT/O7QoD++dP+NZV75nqTklQffmTZ2qUntbM11dnj8rqcvCYNirylkE+8SYX0tn1wB/tZMRTd2EjlJX2O2zz9IKvIFCVBxJIHwZVuOR9f14e83mab3IUaJr8I+sV97I+nFVDt8uUTEGN4lSC17Wjss8e8exa9EvXHMRi3TkKSsGFNsKF6WeL7+yI1nNvzpeIsWtVnsLA5sc3G5gsU42EKE4yfRV9gUa7vUrRwgAep+RzHod/lzxG7buLgt3ogt4q8+3HMV+vkWAXymZ9tbf80ZPogrUW55lzZbcrvLkvSbW+UpSW+Y6N87Jj/TH2v7jn82lxBXqBB3xSMLW9rVgkO+qPhYMa/vrT+0uYD+FG4m3IpB+1wfjpbg5Svhtrmqvn3+sacun23aYk7tXhx88b5rNxWCipsKnfX1Uw+cHwK+nc9ZANzBTwLgo9/4sSvBJBAX6JIGhcE+iFWiKZlbQTxKThKorhvgb6Wvh2z7znXdj9/19JVgFnQLXpNfFYEqAYJ13UkX2AAAIABJREFUQNdWowFgYGWFa0XRVngFUEmt5CJyJMG0QrR9WXJWgtoKYu1KUNj2rS6VMEyu/T/R0ZaPgeuKncbXxBDBso/ZIBv3QFX39NpbBe2aAvUSa0lYNu9vtc2qlwlZkqPNN3l339p7VKXq/5LeozabtKqmSZayR8LlSFiY9EreJTAr5J7vuSb0rvHWB6+uCXaP8e7nMymSMIm39nPXnu5jNW3j/WjcxaZXH7q6J/j+tFOYRFRBX0xHcKzeSzJXTJj8s/MWDBZ/FBv11QKJO7Vkl/D0mXuuPkC+AkG8lKT24KOCaMde2/SvVf3aaax3D+PktYefu3yuQBsnPCOfXtOx7FphgzFc7Og3EeWIoe+IcPOG/G0LEUeYlX83s7RiWwwR530wvVll21v/jKnPvP+Tl8+JXLv3+iE27S5tW0hQNBpnCRPb4DN04lh2s3jQ7+KYglAMM9eIC/Zbf/D47mXsOPNjjulanavg8uFf+68vvvrQc1eKP7ahYkJjuTP1iiMFe9f9xL3fdRYAt/E5C4A7+HEJkJWpgELiajXbYN5lFSWx3ZO3wDTRusxhKwdVuf1upy9LkjtF7X2tlPTgnWBjFXwTXO3byraELRK4xHMrbR3buQJrSV07RtQEGcm9JGorYBKg7ZsVk8alsam/e64EN4LRuG9y2PtLMpzNqX+CfWCroIx8bYWt9q7oSgyukMonfFh2+6l/bbXylQefv7JlaDMSVoNahraVsaNKsolxBWVEpGOfuPvqOzgc68TZUYVslwQ1RrXvxz785GWcNi5uT/oW180em9Drv/dqK8tiwwpk/ubShf62Irck7Pju0hXJiH4jSV1Sv8KvYyOULhPQh1b8r9iw6qoYDXO6rmLzVtXFrrc40zmN45LZ2r0EUXzpdwmW7bcYos+59CV77nXrtwWNnW3ouKq25oP6KvmOfC2hDm8kfbbfOMk3fAi3MVh8XBvnp+GluU78l0wqLCONL9537XKTCTdYWCzVf9YfFRjda0X5zqr5Y6FF4V2hQuz63IeevpKnxFDbWSHHLbhv9S6Ocp0zul0jOy+/WPzfvJrvh2HmRXFAbpDPOMsU7uoLu3pB7JETnB8Cvr3PWQDcwU8C4Pn3feSm6tDLD7xwWZ212iGoBApWPwLrt75UvRNQSob9LIE36VT92GlQgz5iUrslCrVNku05EgWTdWAVkO73rhUNuDx/p6j3+YgSnaQwYnQkAPq/b8GV1EQm2uVjCX+23V0fGhsTcjazGmaiNSnWV0Gxfu+0tUsArKBa6Xd24Qh8TTiKBO/XdUq4jZNLPCQm9VXCVULe9dxHvv/6Izf2IHf3i6Ppe0lMflGV2+qVidmY0i+X+L7+yLOntx976vT2Y09digAroCZNx1cRYaKXYEnCGk93unGaXiElEdXnGmernVvBbJwkKCZ68cZddpxBkwj1070kTrXVpVCJsBXWxXjn2ybt5jlHPtZxFUpctqbwVKwokMKKPU9cOcLCJYGS4SVqtavqtBgSUeuaS7gWh1ak1/cwuTyzsxmdI86Kef3fbXX7bgW+ZFsBZ0HE2Fvh3rMOVs/DCO1R3zZf6ce29TPv/+Tltpb2t+uKxcXTCreuZe7RhxRYjX9jWX+O4r1xsN0KyI515mWLUtlW/0/E1AdnOI05x0MRv75vXl18zI7dv1zQ+cs/dnzCu1YDxEm2cHkWALf3OQuAO/g5C4CzADgLgLMAOAuAswA4C4CzADgLgLMA+Gp/zgLgDn58E7BktORpcsjZndIvUHbtesFnQnc9qdPdEkyTrwkrMA4ETbDuwuP3AYVrQyMagtqbX0o+gfyuaV7BYT+9ptOZJgMftCpxtSZbwJY4Se4C45KkZFt72S4B24eYAujG0qU9jXG2jqS/+tDVfbQdr12iICGNjETydo3mLjXIXxpPiXptWJHqtHH3DaB9yE1ys8ksO5S09EuTf8nkaH2ofe5+bzx69WHsiLAPsCuYXd+dH63v2eZb+XPXyy+O7KvITOzoI11TAdF4HS276p7GQNdcMSah61r1da+bn2nbFcuKLImeRGIF8ZI+40ZhYn8lxpLMJRMKVcdRopE/S7QljNp9Ra9Y6BhJYIxLbSTBfOXB509v89bhxmT70dgvsXJXmyVc9rP4cnmPRSZ9vz5GtsWL1x5+7vTE3S9cKYR03Wv3Xr/cPME27QPWPZ+gAMiWK+ay09pN2+ZzreuXOCaulpQrfi30WEwxZ1kIqQ3lU9+b4DKocqzFL59jWbwQNzaG9cHGLBvKAxJE5pnNY4r8zZU94yJe5Dv6cPaVXyi8xTfz1H63IlNB7Pi0xFL7GkN9d34R2O19zgLgDn4SAE++96M3VRpWiQucAouVOlWzlRCT9FZylzBY+VpCLEBLOK0ISZq3chBoGczdVxFjAhNUu3dJRqISMASKgc4+QF0f7G8JQ5Ic+HXfJYNbLa66L6hZMapdvv1wKz7ddyuOVVndnUKx9/IDN2YTrGBKbFbQvfHoje3gGjt9Rn8qYXivF++7dqXPJj4Jl7MSJtKthupb2daqYeTf7xI4+mcJZn0s2/hGWMfK/u72lRIRq4LZTKK/1V99esl3cbFkpwKAbdCntkptImyciyHJbHHiOl3flitW6Cv6viKgcWoGQ/IUKds3eVvIWFLhzELPIB0RezFqK8XrC/3rDmdhiPZJFDp7pE28hg822yaJkTgiVkpcvL+xZyFIMbX2kgyFM/mOMx1hgUQ7G/hdeNQ9JKP5osJI8pwwsFKvj5hHJHL1ZWOiApiz1dogPFGYO9uZf614leBa/JHsNxuiDRQm+r/iwZm9rmvxRrG754vBi1sroLW/OcZnXbLh5tDF5u69fGPbug9pG3/mjJ3V3jF3BkBBks/0rzFhfG2/84Xn33cWALfzOQuAO/jxIWArFZFWA2mrQlbtfWW6lbsj4rAVBZOhpDtxIShEvF2a8YUPP3mT0IgYSqwClMSMx0oKJKu7dGWXZnRc17NvtffIXgFLILwPPykcur8kSGK8ZMRlVSZAib7JoO+zmQC9dgm0I9m7JWP38juFXO1vXKviVck7IlH5g5WbtYVVeSuL2miXc5nA7VvH2A8TwpJAx7F+Je68l9tL2nYTVwlO8VhSNeEYJ06fu4Xuzua4hWHHVC1LFEaiJBES0CPB9eJ971RWJY0KC8W35M6xzGbeL7s38xUpqtLYmLmMyiTdNZeUHFVMnQHyXitoXrzv2uXbSSUszsxJUvMt49cKtXGr/2mD7KLIq//ay6KLvtf3iyES0Pyl7/ONlv8s4dKPrTBbjVds5Hdvs4//64+8s2xNfAy7Gr+dfZJkO/unoCz2Xn/kxkPt+mI+5JIYsVL/XNGzse6YL5ZFqDs2zFyx7kyHmGdhJHuIbV4jWykWNn9s/lqRWizJA+q/ueDave8sNbXdR3HZcp4KCRuX9b2VAfmnbWz3OrHFeBJDXIImvoZNzhCVM7RD15Ab6N8eZ5tq60e/8WNnAXAbn7MAuIMfZwAMpq3MCACCoi/LKsCtYpcsSiQByFbOAitJufsbq9zfePTZK2vxJM+KkKNqzxLQCMyu/1W8bPUgohlQ1q8VMZ2/lSiro/YzgmJiMAmaHLLDPktxVCl/5cGru9d0LddtWqFboRfQS2YVDbXXJWMSp0iA51mJlRhbgbIN9a1xb9y+8OEnTy/df+30+F1Pnx6/6+lDgSbB1J8kS64rVkDq95EISZjEqGso+upbSU5BItmz3Va/tHP/31miI4LZPdwdSAGlWLaKZUXOqlokOfKiP1bt/bEPP3mT320M5g+OpQJxq2v6QT7v9fp7bXHteQRRMmuC3+RvNVff2GpndlibK2IcH/0o23X/tiRsDHf5jOJDLPClWxLxsNpdYize5KOJmJbxOF6dty/3cnbEvtkGx3FnfRTzHdMadNuQH7q0T0Jm/ETOfFYsIqd9nrnn+pUd7hZTHZ/u56zMEn3jx++36KBv9ndn0rNzfuVxn/vQ01eeC5DQ2+b8+/VHnr0kucWglf5EiEUnZ20l8eVol85YcFii/IUPP3lprxX6FQgVtbVvxY0rEI6KQcVWxyqey+n7XEv3Ktc65uJ2Y2NOPBLqFtzkEWcBcHufswC4gx9nALZaLFhbRVINR/w2YQT6Jg2rFwLwS/e/k7A81sRhVaPAlwDsy0wkFEdEZxOd1xckJD+CfUnB67rtms83lBSdGjaJSCa7vwTEsdhEolCqzyW/JcpOS0uoTOAldoFOcBZUXSO5CcJ+df9A1YcIs6HVWNdv+mbdEo79D/g3yUogfJCzdukrL91/7QoJy66RpdryFsSyPkRe1p/0v00akkGXHOgjLrPSx1xTrP93z6MKlbHh+FlxzNfs715Hv23/da+RyDUhR0T0t+6/JEoxaaxlbwVK6+3X745mERtj21BbbZuzI50fYVoR4+yOOOW9XNefvyZSJThioeN5tLxDIqRoV7yKFxLiI3FZjLj1a2JB7I+8rX+17MYqt/GoaBMLXBoUvvjeg4SQ9q09Eq4vV6TR7tkjv9WXtenmHJ8v6L4+o5B/1LdI+i7P0/adu+NQXK0d337sqctj86eNHwsn5sjIrbEk7puDr917/RJrO8aCnzbKNort1x5+7vSFDz95ZbatPpuvzLnGpdV07XaUg813O2YVKMwFCV1fAHkkjvRb23nt3hvPZu2Mve06PwR8e5+zALiDn7MAOAuAswA4C4CzADgLgLMAOAuAswA4C4Cv9ucsAO7gJwHwiXu/6wpx7d+cOyBxPaYBLqHpu4DKIO9vBnNERbIhCTHIC9Lu34tKFAgRzYBNoLNtR8TV8wO+BaGAVuBYMt15rz703JU3FNuf+tpPSzsUQQGQfZbMOl3rdO6RHd1FSKBfYLZt2sxx3LZoF0lNZDDSL6lcUpGfRWra1tIEpMiUnJnodxlGZKjjFGPZufMjrSXgTd4mWUmp45iv1r5slD0iCC6fkvg6ZpGzxqAEa+Jq6n39aQVuJEIB3XjpgyZxl5mVNCNFkiiJfOMQWd9YU/QooLKJO5b4sKtkr/HPjyNmLnOSnHi+NjbWFKuSq1s99yChzleWVGYnbSPR0ffCBtveksPGXvG5D7q27j58q22+yVxytuKo+790/7XT2489dcUX+n6F3D4rtnYV97SptjFOejhecW+xw+JT9jsijdksW33+saeuCFafGeocn/1QDLquf0mpwswlRYqQzhejFdrra463mJdg25zkEitxI0HiMi/jZwsFi6Xio+1tPMQ942qFyeuP3FhyZiHKexkL3bP+WhR549FnT4/f9fSl+PLt9Nqza+6uQotbiwmbvxRBjttRQe8sAG7vcxYAd/DjDIAJ2kRf8jNZF3hP3P3C6QsffvIKAX/j0RuvfJfwpM4lOBJHiUrgUKBLWCXwgUZVQqsCAbHJVFIoqC2ZjWQt4N8qoXV9hZAgWP9bq+kuMJKBzishBfhWqSViEq+tRjor4L1q41bOO8aqYmMgsLtOc8eyB0g93zHV5olKk3wAbDW6So3rN/PNkpTg/uJ9N9phpaa2ZKf1A/voLJCE0f5Uic6OJsMlqSanxiFybLXRxCd5yEaNn/3t/rbdLXe1eRXbI39eOzobsrMIVqwlrQpP7eJ64yOS2L2MQQWWfej6+mN2tDLYdRWe2koxvmTISrEEZUmgmKU/2vZiyDg4wpEq+orXo7X5ibpIorixswn5WWLsSOxbNX77saeuEP7aFR4aUz6jVHt9oNPvJJ+uU+/6i78rDGqffdgKvPhYm43txl5/UAArPLKNgqRxMR5qezHquDduksnEvBikHxy1d/Fzx9fimX6uqKuQsLMp3n/zRDY2PlboN5ZLqj0+THRb5kj9km6Fij56NCugv8cBtkizuTW/lhMo4vMZ48RraV8x59WHnjs/A3Cbn7MAuIMfXwS2ScmE75TgktyqhAVMgeV2WoFWOzJ4/gJeRCWhsVUCgUhwFBglA5LhAr1EsFOGktElDZKPrf6ZNJaIm9CtHm61citGb31p7+GAWYK5tvMaL91/7UoVNUCzXfXHcWsstXevdxfUX3v4xq4xgqUzFSaK7GuV2vFyCUM27tr2SxssgXTcS9Jb9SkJabOjqlBj5suFatcea0VOsl8bXV4RWXH5UH1bH3QGRfEREZJo+/cl6Yqm7Kuo7pitotaHl+6/efei+tj3+kDtTrzWNpeqHQnq2u4MQMeuQN8iQNihAPVhZZcQbUXPn+LTIoEiVXJa/Bln+XpLTbKrQnyJlmPcd54vCd5K+WJTY7P4VdzZhyPCru+/+tBzV4h6syD6jZsviBlWn910YEm5eCYGhPn2q1i0+lo+WdtUwNiCw6sP3djNxaU2i7v93/McwxXg3d+cUlslmPq/+NN45P/F7C4D7Po9zLxxotiQjNuGjrOgtDFf29q4w3xrUUwhZf4So4/IugJ+i3pblClmnTmIV4iZ+abjps85Nt1Pf87WbUvd+DZWik375lLf8wzA7X3OAuAOfhIAn3rgL10BhEDdBG2iFahKXO5oU2KLDLSGugqAU9kSiK14CjIuXVAQrDIvCbnziklREi+xkBBGBEykAd3RcgurfAJ2NpAQV832Oi7jMXEGYFsda9pTuwW2ERTHwG35AvqOOWqL1d0lh62nrF0rLBRmJZKtxtXfwN0KuGTIH+2TP2RjdwFyrOzHLm2R3K8v1B9jQkFjdVgfzfabiFzTrFhUoC2B30pUVbMVvs5wFBON4RFxNfnX9xKcY7DVvuxg0nXW63MfevpKXL/JtL99yi/8m6JpfVq/6e87i6ENOl+CWn9bD9w1IrnO+Cjktgpt9dRxyO4rWF558PnLtzNLatqVS8ySrHSsy70kZ5KxrWwWJ143MaI/Xbv3+unxu56+JJKR0GykCKkN4rO273mdcoRvilYIio/64BEhF8fCCwliZD67SL6Pqv/i+RG2rEBrrF07ng3Nf7XZ4oBvd96CkG3ru8WWcLhloV07IaTNNrYTCObwFQCKC4/b62bv7GQxSJt1XfOK8aZtFQDmg2LI+5kvzT+NS3145p7rlz5nsaLco98XE70nxPyTLcQbx8hCh2LnxfvOzwDc7ucsAO7g5ywAzgLgLADOAuAsAM4C4CwAzgLgLADOAuCr/TkLgDv48SFgnbuksYl7SUDgHAD0t4i9YLiJzqBrB4glbxICE/yukS0BLokyifRAVA/C9r2ixqQR2G/iLMF1vqC8STogtD+ShwiIYGPiDHwk6iU7k6jEVTvWlkhKtpGQ+lCqoJ8NIileK6APoJ0O35/W7grEXVMAtf+bZCMfnr9Er+uVzCSj9llxooA1yWmPfOAtXrKVANHv1y7a33E38ZZwjkTIJvLafu3eGztaZBfJh0R2SXI+W/zlO9veruk5R4Sl8/p7Yr+/S9gl5/qRbc3v832Fx8aP8asNJcQ7th0TWXXMaluEWNK8gqMxkRCHmYpax8QHul2yoOB3/bqFEGPAZUme330lUrVJgVUsuAQtW/W3JU1dT8FjQWTbK2HKXltIaLzzM8X0LpnKB3YZhmOqn64NjItdGmh8Xrv3xsO26/9HftB9s6f4ZDxlj3DHh1cbg/XHzV/FSP2w4LYkNZsUx7Wh6+RnYmDtq1/i5RYi8rWu8eYHn7n0M0WI/mXOXxs6lgmCXYa3Yl971/7izLHR7gqPsMVriDmdU77XjyxG9POXH/jfzwLgNj5nAXAHPwmA6/d95EqyCfhy+P7mgzaCkQljA9eX8GxFYqu+vjSs4JQouOZW4JKI1G6JTcdanQhkfImK5E4QMRGVAGtLBN6dFLpG678F84iQx754342dGEw4Appgs7MYEfFdk221V1AtuZkcFG2C+BKjzl8gL/Gv+Frwtv8Cs1W8Vx+6UZ1tfBQbtSF7dd12m5Ds9EB6vrpE3aTnGHgNq+vOQiRAShSS3u1b5E8hl086lgqmJRI766I9t2oVGbW6eu3e61equ7eKa8dHsmQyXiLmDEJ+q5CMpEh0Ov+IYDXOK46KLcVRfXD2qmtJyIqHiNFWo42xbLVkVLLRvVq3brsUTEvm69euo67dPgyZLXpuRJK7tvFv2iu/WbG+WF67smVxXryteO5a9k3iZOW9mMo2zQp73d7augI+vNJ32oYym0vsyzs7Dut7+e2rD93A88akGBTzm0VUUOysW31SOOUzCQvjV7yy/Z6XPx75iOTd2YaXH7jxzJ3+uy8Yc9bewpYzN41lcZO/mE/jAY67+UvfMe9IxruuQnK5iLZRrCggVxhsXuoexqv3FwfFdO0b7tav5993ngG4nc9ZANzBj0uACgSnm4+W+uzyiYIrwuayAEFCUmXguxSiwA9EJeIGpA/ZCdBLLKxcm9yWwFRFdqrbxCwBLKF2TV9XHhl480vV4oiB7Q+QFE1NYQqgjcFWhOqrVV8rnlYmu4/tzYZbtV/CKtExiTjtLIlyGVHfOZ5vPPrslel0lxzY7443kWzFpaRZYlzbeKxAv2K2cd+lL1tRs4J1RHaOqpqSjcZFQbxk0Ov2fyvJbomnnSR5HSv5kHzvsjZFyIrermEceIwVXvu+RERhYIJdMrmi2Osav8aEFdRs8PnHnjp9/rGnLrcQXSHV1P+KuZ1ZkFhInp2xMCYaYwsUirDGzPcDGCMSHgmq9pHkGiNd1351nMt4JEyvPvTOPvP6Xf119svz2ppXv9iZYsWJcbi4ubOS/n19QGGTbSTj2iKfknxH0HdZWfbyu4jwijxj1vzTGJlrwqZi3sKYx0WQN5bCPf28JS9HossZvfzmxfveeajVnOh9+2n2fXN7+LOFhs2P5vjFcPEp7JeoH/m+MbH5SHyusPPS/dcuYz17ee9sIW7le+54l/86s2BbFaX6Wr+fBcDtfc4C4A5+jmYAAkNB3q32DKyC9K2pNAeYkihFhIBkwCsiXn3oxrZ4gcwmmgiuay73+ksiAk2ryV3f69bXTXZLluufMw/ZJgJwBGRLyrORdpRobnWpdyCU3KysOItQgt7KTPfxpUVHyTsw3+RxJOaOqs5ufVc/A15fJlMie/uxpy59brfsk4RZXV2xppjs/yUv/bxx67oKtqOqUVW8CJbVSsdWcli7Gi8FWcnINdOKV8WVpHtnMfwuH8mnt+IpYXvxvmunz39p68ejJVY7Y2HF3oT65bBBEWUC7rhsXh9ty5KEJYz6xpHgaSyXUGuD+lo7fNeE+OA1FG5ik+vSJSMWFyIOO8uUb2gbiaRx7QzG2kEia9V9BVVx41ISxyhbNxP4yoM33iWyS7SM98ZQIfvife+8W2B9QfFW+/OPjZ/9aQw3z/R7eamle4kGY0I/0fdr8xaYavdW2hdvwjVjSrEhFrur1153McEcYCwYSz1705g79i3P016KcgtGneNWsy8/8MKVF7bp00djlF18n0dLZtcH5A4rLjy247aw6M5Y5hlnHYqZxnbzQD6ooPI5Bm2+Au8T937XWQDcxucsAO7g5ywAzgLgLADOAuAsAM4C4CwAzgLgLADOAuCr/TkLgDv4SQD85Qf+9yvB5NRqQCbBLEAMqALBZTRLHLuOxKyp1X2IrGtKqpY4f/YDn7gE28Di9UeevXyjo/cKxBdATPSuq6z99i3wbWrdB2frn+vnXd8qIVgCYhISbOt37XZsJH0S8t195Ym7b36IuSVK2dqxNflK/Hw4s2lQk1bHSRojtwuWLknQtt3H60pCTEqJOAVWBK42Rirrp98/ftfTVxJfpCkS4Fj3vWSnaypIlrTtQ96Oo8RVAraE3T7rxyaiXbJRuyQrrz18Yzo7/8hH7Hd9rw22y51P1veOBNq1e69fPtPT9/nULi/cYkAJXELkemUJhWRcDHkLMlR8v/klAhvmlOizp760JCE7ROYUr+GYOKI4yAbFaMUNY+aI5FoY8LqSwcVhx8elL66rb3mH/XL50BJ1Y1U/OSrIrOBIYC3mZTfxpnHZPJHPWLipfS5/ORLg+f+S5+5hPPRd5/h94+AyLAXvChl/yg36qssgxSHHXwFuzBfX7mBVv8Lj+u67PFYUhBlvPHrzw8GbIzbPemy+vYKn+yuQwn/zYuf29l5ztddVDNnGfFw/FZPEFTGy7xWuigILIubArlMfz7sA3d7nLADu4Mc3AZvwd61xQbcJoQCyUlvAXLv36otmfKBLkms1RCLQ9a1qFPgFYqKh5HFUJdgq3VbEj3aekAhb3QisEh9VGNy206q81ZVNolYwuq/E120MrcJIirRjyTQgD8z7m0CngLBdtd8EFSEw6W8VK1tvxbW2LTDX111Hq/jo+yqe2lBycyQiqignQmzvVv/2wTVFp+T5qCpn/6w2miTqb2N3NP4m5NrQfRUvSzwkcCa67LVvMpXclgxdj5vtfahuicyKcO2zAj4bS8Yk0R77yoPPX1Yot5rrmDXOm7gbZ5/BefWh565g0FZNvVf4s/4o4fTv+qi+4HMSkhXvVYzpS4obx8k1/JKoCKKYuaJN31OgRxwVFWKPIjF7S2qXHBp/EuV+Pv6e6zeR+nLMEn2fu7A4ER7qR/mBs3j+Tdu4Y45Eede5V1TaGUrHXIzXtxVjxde21/xlcWKF1drWmLK4UIHB64t7jkO53es6cy0WmvONEfFRu/jiyVcfeu5yjX5FK22u2BPfFBvew7wgPzFvruitSJcvhc/mt5cfeOFyC9uOXfFmcVJ8VLQ+c8/105Pv/ehZANzG5ywA7uAnAfAX3/2xK1Uy314q8S5xBzxugdmx7oazFS2nsFXb7kBjZcRruCtGgV5bIyIShd0RoOB22cRL91+7fOvwVq1KXCaoSNhWbCNcJu+SrA/HWjGTVJYMtr1VZvw+MqFtrA5Jzqz4OOMRwNvnnXGxiuz3JrojseG9lqAqNiTK3j/Ss9+buBVtVoL63XvpuyYLCYJJXJG05EofNnFpE8dlCdMSldqzpCRfl9S7xeRR4rSyW58cN2N6ZzHWdyXoViAllP4rniFnAAAgAElEQVRs/Di+W2V+kyUZVtOzm4R7MUBS03cdE1mTJFtB3CppO87sbMwSPmeR1iZ+JyHeGZwlze3oo+82VltxldjpO8VvbQn/JJAK3vXDZ+65sYOZMWvVNKwzBsUbBWvtXzKcEM13W2Ll2313t5/soSCxEpsPOLZdo+UmjmWYsfbVxhYBate1e69f5rrubZXcnLiFg2zhQ/+KEWfCymUrkm2nOeil+6/dRP7Nq/ZHcSMebh82thNGR3GdXzUW5kMLVeZ988QWMvpdwZhodPzCr5cfeOHKNslu6FAs5OMVXeyXvmzuuFVM1j9nDGtztj3PANze5ywA7uAnAfD8+z5ypaqRENjkVtBL7kqeVrJK/FUVqqascjdJVbnYHX4Ei+7l8oEUulU6k6BJzwS1VQ2nqPu++wkWK0JqR0Rd0tg2grYrguazCyZgQeaomiUZ2xkE77WCxgTfuL392FOHf18hFJlrXLP5LnkSTEsYS4SybUlzCUp2doYlH+meteFIxGRLE5Jipn7sMqwVWX5v9dDvu69V5siPSbjxXiIpUT9aOiYR057+SExcvtY+40tSTcbZxgTetRTUVYebfdLPqx67+01EKl+LrChuq7xpVzGg7xQaihvFR8dvdS8CK17p6453Y2O/wsMlVBLSfHWrz+KVRNUihOS5GBPH8mfJW32zSLD93Eq5gl5Sr9/Wr4T9tmEryRZJehGfMW2lX4GoLzqzKWHXFy16KGhee/i5y+Ui5hIJczElDrz+yLOXvtc9tXm+KYHt/vnZEXm20NN4GX+Le/q9FW6LAi6TUSDaXgmttnWMdgmQx4ov4npjvrmu8dX/i/MV8GKh/qTQW4Gv8Ol3/aQ29cyOtj6ascxHjQ2FsnFyJJ77f/inHe3XR7/xY2cBcBufswC4g58EwJPv/ehN5MxlFwVyQS2pKDAERafaCpqCU+JrEjIhW0WpDYHPE3ff/HDUJtMSrlX2yMtnP/CJK2tJIzcmHivyAlQgZfVBIFmyv8TylQefv+yvBC8QFcB8O6fXsIq/b6nMNo6bNtg+9cZkE6nJ3gp3iWGrxo6DRM7KjUJLguDa0B13faGkuy+VM5maVJcASQy04xIrCXXJtVmOJd4mwSXKL91/9cHelrKZ0K30GSe20+Rskq29+akxIZHVR1xGp60iCK69LcnZhlcefP6KQCmhKiR2psv4Ksb61yVTxYtVRcmR3zkr9sqDz1++2O+1h5+7aQnRVsn1qRWfklRt6FhJQiUKO+vmTMEKNAsDkh59Tux44F1/5iZRXixJuLayLR4f/c2ZD797/K6nrwipiisKZgniYl628bqRVEWI4tc+OEYWPbatFkGMd0Wix33uQ09fwTixe9tqpV2f3pkdxZnXEactzhhXxp8zYEfFpXxq+yU2HonMcs1ioQ8n2+ZdLrdFAH/sd9cr5hUUxtarDz13ZZOPI3ETR3A1gUJlhXdLtpx9tXBSW8WxxKNivfvWb/2qf33j9S4d+557zkuAbudzFgB38HMWAGcBcBYAZwFwFgBnAXAWAGcBcBYAZwHw1f6cBcAd/CgADOyAT6BqOrykGuj0/wKsdfOutyu4CuACXKAQ1AJPp7ULUpOTiTziktgIPAVVQb7fS+i7C4drVJdgmvQCyV0aEehIWLtvdpCYSJjW9v7/VqT2xftuiCuPzXa1wf6U2Ju+1vYKFu/veG87BXHJrYkgYtcSs5aHSPIlPAoLhUmk3MQnUahfXXuFgYRYAeCY59NtTaqfN64rAlqi1RKc7C8R0o756xGxWV9qLCQFmzQ912Vt+ad+k7B+/ZFnr/h/9jWhR67yPftRTLgkTRKvPxmDJfn+pp+69MZrl4AdM8dBbBDLaqfP66x4XYJZgl8RsXjlzjzFYbG+JEryKQHLl4+Itlgnlmr3YviIKO9Pz07lK+trXje7+OKlfCfb77h7r3yoJWIuQ1IQ9nvjFf46ZpJv84n+5PNIWyjw+l0rP9Wfe0ux497vu3WxxSn9ZnOH3yvga8sW0V5/5Nmbls3VX0V1grjnf3y+bpelaud+XJoY3ov55lttkmBboWv+2gJB+Lm4m3ivjwpdn0EJk4sV+yAmOJYv3nftJnw1x/s8SjZwW3HF/i5Ve/WhG1vNfv83nZ8BuJ3PWQDcwU8C4BP3ftdl0FS53MqB5EVAKFBNyJLQfpbIB4od65rLQMFdLkqSEfat3Kv6SwhbZfeh3k3ES6gEIn8CbaulEQWrvt3Dt3LWh5JO5DdwkWCuyNmKz5KwfbC6c6wUv/zA1X3Xvc8KEhOj15QA6wM+y7D+UeJfEWJ/+73xdb2/VSXFaNddcN9Ke4nl6OFiE4LV9ipLrSGuLSUM+yop75omHStxtrPkYt8aH6/Z75FJr9H3Emr/ls31fcdSEuQsT+fv8zYKihXjW2VrnN1b/2jnF4mhRDk/XZFqMs6GPZQr3izBvHbvjV2ttKPFDfvg+fZTEelsoNXYCEp9tIKZHb1utraC6Ra62saKuRVMSalEeXc+y2biQiS9MXKGV8JTX7ynuNlYOj5iiHZcgVjb/DdctZ3iRb7o+mzJtnjgPXc8FWniQD++QVrimqgI27c6vt+JofnXFi3EpRXg234LFwrPcuCOWz/OSK3t89mPv+fGw9nZcHcvqt+NQ9/Vj3xA31OovPHos5ezM/me/uZMQPbwut1bn95ZG2Nii3Xl4L5/6f4bs3WJzNpuPlvcOj8DcHufswC4gx8fAjYgc26DRqAXfLaa5uu1JVcSVxNG37sLQoFupSJAkizVlpKMALrTqlYPAhyJliC1D3VuQn2TpQYuyXHnpKpy2saqzlZklhC4xGKF0K0S/V438HbsArL6bUWuv1lNM1n741aLVik3oZtcTZz5ggnSKtMmaX1HIqHf9v0RaVSU9f8SnInUKrfX3enh/FMiWcLqb47l0U4SiTfHpkTt9PISd8dXf8sXFW49oJkPKOSz9RLPXYbleHYN43Kr4vW3cbSqn1hxLN1CUH9Q0GTbxukoFoovlxkckc7dZSmRXAy7W4kP3b90/7XLJXcbf+GPhMEqpHGSDd4aHKkvLsurGptd8wuFTz7sQ/rrT7vHe/ZaO0oSw46Od8tQx3wxdtslqZfAS9yOco3f5bfGdT7rA7j1Mx+00KF/WVUuHhvXt1hWqRBS5IlJFmo2RiWjOw7O2C2pl2xuHnvxvms3FY8k1o1N7d+tccVicdMfi0v2STK+uGus+5153DwjL1j/UWBq764n3jS+iuVyfWObLxTj2+fus4UBjxOb8pFsc14CdHufswC4gx+3ARVYrY5Kxo6Axum+JSAGiFUSpxlV0lux2eTg1OpWOY+WzyzhCngk5RGQBTGBUjDeKpxCIbJuNXIrNiUFE3qE0sTh9K+CwyTmi4ESR15DOziVLfArTrZytpXoVx688a6Bkp/3WtFVUpTwVmHZhP7E3TeWozRGXq+Eucsi1h+6Rz6mAHLbQ9vvWH72A5+4XAIg8W3ZhLbRXl7DhOM61tcfefb0wLv+zOmBd/2ZK4J4haPEU1G1W9uuSJDwOhMgoXLWx3Hyuo2D4qu4tWpf3B4VCGpL1VOXVWxC93wF3fpfiVv7avtr916/cq98xecr8t+1o7glgRKjwoYlqI1D1zCmNn70U+/3mfd/8rLKXFzX5sZKu9TmbW94Ix6HtVvA2edptn3ZekV5yzjyC8ndkkTjb4sY2x6JlzN/HWN1d5dj6CMVKIyJ8NJcpR29rv33PvmMOeCoeLOFGAXRM/dcv1xLnm+5NDSR8Mw9N3KkAmIx2gJHP1X+N/foS+aTvlvR1XKn7e8WAfu/tsnfVuDUdo9rdrL2mrM3n+9qgxfvu3Z64F1/5tJPPNax0zYrJIzpncFObDme5QGLR5964C+dBcBtfM4C4A5+zgLgLADOAuAsAM4C4CwAzgLgLADOAuAsAL7an7MAuIMf3wS8D7mZrHda8Wga1ynjQFeiXdJdYrpkITDrfiay3Z2ngI8omPwFCIHkxfuuXXn9vCSo4wr2HiDd5K1QEvhcO2t73a2nJCSI9rvT1iaVo3cymGT7W+TGsVgxJ/EQwBwTlyDYR0nnEZFLRGjHbGOCE3hN3F3D9kqWFDz5pQmhBJHts1sCyaTl8iAJh9fa5QbbLo+ViDdG7lrUuSsclxQbI5u4JSL6o4RPG9qH7GA85Mtdtz7kM7v+VbuZ0FdM1rYda8m9D+yHH595/ycvY6XdurzuYkr3knAc2aafFRX6U4ldcbgvZ1rxUR+y7/p54xxhzk76pT6WLSVvLoW0L/s3l1a8dP+1y6VfOy76lyRrfaz2akPxRt+V7FeMkaR1r5cfeOEKtoQX+mh4aZ64lS0k5Y5F97Q4sTjrdbRDfV9RYq7b3GXxpLHQX7pu4y0WiyfmSvPl+rG4Hb54voUibdY456uK1Px2fcR874YKm1uLrS1amCttm75gHGSXYr3li/XBcy2aNDYKVe3kM1LmiBUs2TRfKseYU9764DNXCjuvPXx+Edjtfs4C4A5+fAbAilogYdWiIHr5gZtfq71JoO8llYoCiVHnSHgUEgJopGpJnOARkC1RERgWrCXWEqWAxyTw0v3XLtcYC5j1eYXUAvpW2J2VkCQJdltxsZ+ud6yCaOWpdjhmkV2PM9Ec/d/7d/5WoJe4ZlMJkInC9bBbzbRv+mDtseKjcJScaGdFj89mrBgpuWyFd4nnWx985pKw2n5jR3K1yUmfdgagYzehf/6xpy7jU9tqi+za/xUXzlhYabXtrn+34iiZyE4R9e4h6aktxpZ+u0JkbZLYqwLadxJS7X0r+2Y7iX429jmEHgxWmGhjBbhVV0lFokvfr929SVYiIrHVp43rbOrMktXgJeq2L/s8cffVt6h3bni0Y76k17hekVpsHFVyFTb1SzKpsBJrnHVY8uzzK9naXKGIEc8VeZtTKnjUHp//UgDmx7bdPtmuxszYCpuMP4mu7VUo2lZnLoydiOrmSoVPubPvsnnfGWcKO0l9uFx8eo3FknxT0SHGboVeHzGm+7878yggu+8WKhT1znLV1q7rRg/7fIK4uvmve3bs+RmA2/ucBcAd/CgAVPYBuID24n1X97+XcC2BE1xNeIHPViGtSh8RZxOmiddrmlystu7DaPXRxFcfJA0SJoXJVjW2wu2SFkHs5QdeOD1+19OX35lQrYr0nctNtK+JxcqFu5sIrJKIznUHH/vhNbfSZUKXeG91doHSe6zgkZDrb17DNu1yKZNQfS2J6wuNs9fS9usjVZeWpKyI7HqKuvzJ8TXhmLizzVbJjAXFc8lXf1xC5syQSTbSp1C24n9U9dROkhDvZ/XPyng2cEaqmE0w6E9LyjtOgaY/OcvV8jHJmURjxfPRd1s1TiiITwrq3bRAkejvG3/a0fHZCumSGoVBY5+duo59SPB3jIK/MdPnmoHR7hGdiP2S5Oy0y+2M9UTiYmykWx+zuPDE3VervokcY8QKtkWgfEUxGBF2pzZxS3zVjrWt+5vTmrFZ390ZklcfuvGOCsmkmJGIrCi1x0isXcpovtqHchWrCu+3PvjMlTHreP3Ra4hjFjmcRdl3HGQnhYQCwhgU5+ybBSSF2O7h37HFRGPrWEv0O662aV+LUrsiwlyV3erXJ+79rrMAuI3PWQDcwU8C4Pp9H7kCloGuINSOA1YFC3KBb0lgoBTYuC1miXT3HC+BmLQKuAUTA1eQ9Jhr995YT7lLTLbCX1XAJSJ7XStvgYSJxuqs4JI9luDVX9tthUGgaqePoypq5FBi1/XdijHS+9L9N4Dx7ceeukxcVs5qtySuttjHSJ92rLJdolpSsZW72iTpW7JWwpBYS4IUsRK29UeXMkmeu59kxSq8/49s71rS2tA93a1jhWcVLUWQMZZtPv6eqwQtv9wk7zI5bS5Z9Nq21b/3cp3aK2ldQqLYUwRZjVVA6+cdUxuXBLlco3c3bOwoCp1l2gqmM4OS9vBF4Xi0jKW279KkyNcKZ49fQhd2OJMS3mmb4tBnghTljtnaX7zeWGsGb+NkCbG4tr7dfY3NtrHdpW4dp132u4T3CuhIX2OUIIl4KwjLH9rDPCLeiwnmsI73mtnrjUevxrAFEZevbUxlS7HCny1K1CdtLm7rT/mJ9+n3cF1ivDmt78QLd6uznVts6V4J/SM7b/wo5Oqn/TX+lk9YjKhNu0xTIXS0BGm5Tm1tpk6RqmA4Ki708/z7zkuAbudzFgB38OMzAIJE02Suow78rLj6dlMDXzDbBze38mEFzcAtCVm53gqmVVtBz4f8fNGUgLJguQLCyq8/kVeJelO1AmtJ1sTb71tp6H4LtvV/E6dT2hKZ7imAZVevW9KTEAeoCgDJ+/ZhK66RCUmbickX6FhB7dhIZvdzfahjattN8LVFH7Tytw+EKqIUbQK9CbO2WknKHpGDbOBa2ZLdVqetpHvPZn6WqJtQd322ydD1+CXA4mTFRbHt+C4JkWh3r6OHPNfPFW9d49q910+P3/X0JXktOUfiNt6KCW3QMh3XjW+Vs/M2hnvAWwJaXyURtd/ZNgXwCs9djmal8KgIsHiUgPHZH3+MbWc+EjXODNlWZwtef+TZK2ubI6Lia9fQ98XHYtLYtr/dx3HQLs6QKnas6ksYjalEk6Irn1gfU7i8eN87z0M4a6BIXGKrb4gNK1r6rj5+9gOfuEmAHGH54ksx5PfGhiKo9tiGzl186W/irkJic0+4b0zsjKNiWN+xGOdYvnT/tStiaO0ottRf7Vh7LRr6fIh8ovF0XBON2vFzH3r6yuxzbZC3GHcVtsT4sFcxd34R2O19zgLgDn7OAuAsAM4C4CwAzgLgLADOAuAsAM4C4CwAvtqfswC4gx+3AXWKbAlBoCM5DCwiZAoIyewmGAlIQeX05ZKATewmzVcfeu4ymfa7D9xJYBIx9mW/NxkLlF4voLN9JTKnKzvWrdwkpNu3EpMEU8BeIiaotv6yZTXaqSRpAnjlwRtbljpuJZGE3+uPPHu5jlh/cFpVchXJtq2NryS1vnqdiO8SkX7fnZt8mVPX9WFHj33rS9PyJo3aJnmozZFcBYH226lkyZk2lqRKvBoXfSBSciQK3vrSszf5Xuu7izHJXeNWfyQT9bU+dJyCRFJhHOp7kj7HS1FgTHU/hXJbIbp0oKU/PUcggbYNklyxSN+TrK2w2XGXiOkLLpOTKDZeLl9MpIoN/a4Nuk/26LrdS9s+ftfTVwosksHGVLEtxmoHyXE/jb33r39rhzB1MXoJp7GZj9anJaldw6UkLv+KgEf2Ny8oLsXXJbq2dwsytWuf98kmituuKUGsr5J5CbW+Fw4Wz2996cVcxZtjaaw2XhWd9NmOs/iRbRxL4zK86PzG2qKZtj0SpFuQMQd2jO09GvfE9BuPvrPTz25xnHhYQVr+iOBH8i1+9GOhyvgtpsVwhaPnxweu3Xv17cnhceeflwDd3ucsAO7gx2cAlny/8uDzV7aSK5i3YurODwG6ACQAHoFXgL+AbfXKCokJIwBfsi8hMeFttSDSGJjV1gjqJkMBzn5JAKysrJCqX/1dsH38rqevVBTqz1b7q5ZsBSSSb+Ks4rYVn/3OCtMmyMZgxUpEygrKkoKX7r9203MHJffOOZq9yK6vP/Ls5cOAVu66dvZy3Lye9nFmRPKr766vmHwkl/mYJH2T/ybebYOJRrs5MyN5t+qsCClBef98/JUHr+7Wo5gquUaybVtxISHfsdd3TbCvPXxjLW3xUOJUJCkc3xrBm+8eFQby1ZK/DwTuzEQk3X6FW5KgHVNFX+21v92/85+558Z2gf0/nMoWxl+zCPVzx09RaMV1CYh4LXbY3mJ6fXSJXX3T17JH26OuP3dfMaR7umuL116bO9Nc35fYN7bmHme1LDTdqp9hh7PYK5C6Z3Zf/3vlwavbCTcGEc29rqJGzK8d4ar9Km7ywWyj8BV3zE3+bkXe54vyW7HOGZnaZpHDmNQ/nXV0Zqy+a2vHRyKvL3QN+9axxlQ2W9GfANjZY23bfS2OOSOwM0768Ipt8995F6Db+5wFwB38KABMUKvGN3Cd6gwABVdJqoBwVMkpEQqMVrmr6hfYVlDepIoiwdytDJ2+WzJXgrDaEshWXRA8nLkIALLXCoRA2D5EPkxQAbqAZLXVftR+21Xl3yUVVuOPKigmGx+aVBhY6egnYlpy83v9wepLZHSr5xKurd5J6jt+Z4PW9xofrxuRVXj1930gW/EhWZGMOj7ZcWfFFMPZqvt7r2zgvUrQVtiygUlYsrYCcQWySW+FR+fYB/1ySaLks3EpDvWTo+p733kvl4xUOcwGkq8laS4PES88ZivZYsvaRnJfvysOLIGJ7G3luT5o//Wx7CSBXHK59zIW+717OpYto1uCvcspwyfH1q1v9aEqn45ZsRM2iC3mEbHQ5Ra2a+3VsRJEZ5v72SWHxl8+5ayYhM0xa3y2wLECVHHuTIXiePvs/112pSgo3rYY8sTdN/KoYqe22d78ILHgTNRWxY9ymnEoBohT+rbC5cX7rl0KeK9r3hXbxWbvlW0dd/tXMdIZl+4hxr7+yLNXlqqFAVuE0I8k8vqZBTBtWBv9/sn3ngXA7XzOAuAOfhIAn3rgL10B1wDTCpuVfQFsqyiRUKeWO1fRYJUkkNqK9FZgSjgq9AJxSWMkYXdsCFCWTC5Ye/4So63kdh2BZMVF/9+KrRUSbSPgJpSWeJrITDyCm1WU1x5+7nI5Q/14+7GnTm9/aXebxJ1jsKAsgbEKuskoX0kESHa8tjZVKOZ7R/2SYJrQ3flhq0hLYkvGjoXjqLgpJmxv111x0rVcMx359O/67Qq87rnVw03+xZBtleiYbI1TiW8kVTu+8uDzV/YHtxraOZvE7YMk1X4o1I3h+u0ab31YwVPSXdv09yUazvaFQS/df+3K/uC264gI2M8lugrkrSb7tnOJVj6jn75437XLlwVGdvI7z3XmoHhOgIkjS54VZwkNtxpeIe+zMtl4caFxlrzmZxZSrLaWD9r5ags/2X5xMzHvrJh4qR/WDotSzpAaw4mfFbcrOCwsmGfyp5atHa1hj8hvntmKejbUZuYkRbv9LZ4cn+xmLFmY8ye8MgfXL/2mOOt+5dZEkLNBW4hZH85m8oV8SdFTHs7Pu/dL998orOm7co4n7n7hUvAsPtc38XoFT/YVfxX72ub8IrDb+5wFwOl0+kf/6B+dLi4uDn/+2T/7Z1eO/af/9J+e/uSf/JOnu+666/Te9773dO3atdOv//qv39Z9zwLgLADOAuAsAM4C4CwAzgLgLADOAuAsAL7an7MAON0QANevXz/97b/9t6/8/Kf/9J8uj/uX//Jfnr7u677u9Mf+2B87/eiP/ujpB37gB05f+7Vfe/pzf+7P3dZ9EwBPvvejV8CuxCyACiwuuXB6UjJU8Bb4n/vQ05dB6BIVj5XYGFwCZcFXgEp0lgjvNGP3WKL95pfe6mqC7Jomt00ene+DyPZpSW4Jo4RjEjOhXLv3+iWwlbwEu67vmngJgHYMsCVnju8mAs/fBPjqQzfWumbvJeoSJo83GWQ/+5AfdV3ta+J7+YEXLp8LENAD6KMp7xKUBDObO76Bf37ltHEP7S3xqH0rXLVNycX1wwpik4nXVsiWlG2DY7widQW1ceoxrz383KUA3CQpYVHcSfBef+TZK0QxG7zx6DtT8ftCOxNpyVRSK0FUsPeT2KkPEiP9NN9ae+pfYlztWaK8RCg/VtgkYhTWkgt/b/yOREYESPETwbOwYdysP2bn7KhPSSYV041jdtGOS4wtTux1j8YnPFFwiguN9W6WsLukSXY7V1t1rDFmuz73oacvcde8sMWn+tj4bwzpC4pqcdO4NH+ZryTT+q95zjHPBmKOGPYWD6pvcc42tLTIPtSONnLIJiuqFdHmdm1pTLz60I1NOuyHtlxR88qDz1/xh22vBF47Jhxsl9jYsuEtWG1ePYrJlqRZtFjcPS8Bur3PWQCcbgiAn/7pn/6yx/35P//nT+973/tOv/Zrv3b53ec///nTxcXF6e///b//Fd83AfC//U8fu6LMlzzvOkmVe+TG6oUEzkpUZGaTVZVYKyhWmArCrbAHMku0a4MJRdA8qugJSBLM+mQC8hqB2t6jqoJk2zW6WzUumZvgAmi/7/ftX8dWOcwOtdfzJYiOW8DWOPhwtMSo/kvYbEP9ijTvw3fdP9KxxNLEnY0FW5OalaDutaREX1riqR1rU/3TH91hqHOthNbHJ+5+4TIZb/VOUrOVREmLz1hU/ToSthLZxEoV4xXS/d92RdYU8o1NSbI26I/7U7sVftrR5B1p28po5K1r+FyNZP/tx566UrEtSee34oDEq+sc9SMfEG8Sk84e5jcVP1bIiD0vP/DOuuUVJt1nd6UqxvTbfbmea87zhY3JxnzJlePjy+IUAApTyU7/PyrYfOb9n7yMEwssFnu2CJJtV1xF+laAi8MbU4tD5qrtw+uPPHv5Nvb+vr6sED16caKEWPzSH5wNElteefDqbmY7O7J2UsQYV4pqxWQ2UIy7vbXkNptnD7FMEXNUEHAcza9+nw0SFvat67rbnILKNvb/3fFn/fqoWJWNt5gVbznaXtQxtZDg/Wq//T7PANze5ywATlcFwH/5L//l9N/+23+76Zhf+7VfO/3e3/t7T5/61KeufP+bv/mbp3e9612nJ5988iu+rwJgE1SBaSK3MlXVzoC1SrjVDonNrSrtXUPgXWDZQLfyZsV0wb1gljxKEJZQW8Ux8OvzXrdrSZh22tbqzravewo+VtIcn8ZE4tvfrGQssfTHKdOSaO3f2QLb5f33+toku/gm2a1WPnH31YqeoCu4S65KtCYnSfUmXsnjCqaOXfGoyNoko/1KHAq/fndWpGr4JiLHSSK3ZLTEn0/pT95bX9IGErL2RFeYdw9jojE7molTiLtDzBHRMCYiJhKCiEvHGe9LuIozZ+BVePQAACAASURBVLR8Y+mO5RYzsvX6bgRxl5ytQLFY4fh4X5cghE0WSJwRynbay3aJo85sJS5WMNk3l7El7sXXnU3K/jt2CZElnS/ed+OB0vqgD+vbxqziJrvpW/rSVms3dow3l5o2C+C9HFMFdN+vmF3McIZOgprP7oxP17HAshiSTx4tU9ljE0qbD7ufuNp5a7uuI645u6DQzV82b3SsmCBG68/OoLnzmLZc8bDL8CoE6CMW3cTyzXnGw8bZ7q5X+7WPQlqcNSfWhvMMwO19zgLgdEMAvOtd7zpdXFycfs/v+T2nb/mWbzn93M/93OUx/+Sf/JPTxcXF6ad+6qduOv/xxx8//fE//se/4vsmAD5x73fdVMmwMtP/mwrbiqlT0ZJFg7lEu9WAVLjXMBgN3NqyyaV1iFuVEJStIhv47k2+yV8gDZxWANg/E0XEz/O7tstgsuuKg87PxvX5gXf9mZtIUATB9teHJc+tjTThdt92c9jlJFaCI0pVvKvMLCCaWBxPSU2JxopqPmOStRpl4q+SY3KIWNgHp+6dHi55byXKBK79JCUlCEXRVvN2C07JqERDkmwSMsHmjyZpn0vItlbaV1h1nezoMyWSesmRcb1LmLRhxOvj77l+ZRbKaptY4frhJRdW9U3oEvhdNtLvRzEg0fC6Hpu992VXjVPfS6R3dqRjFaraO9+VnC1uOiZhaNd1yV/j5HeKlK1yL2ZJJsPmF++7duUld+FuO+kopIoJr5udjD9j5Mjm+1NfJZjhgpV+MS1htVuz6s/GfH37jb969+n//de+5qaZZbF6tyh1/34LJ68+9Nzpxz785OnHPvzklXy31XSJuqS7pYo7y+MsSNd1C9xizOU3zYRkS9tgvJZ7jD3jegV0ubIxdyyaJXUJUe3bWNhYdNnQxnZY6Rg2s2budYbGWa183Z34GoMV8cW/8d29j5ba5mfP3HN+BuB2P2cBcHrnwd7v+I7vOP3Nv/k3T3/v7/2901/9q3/19I3f+I2nr/u6rzv9i3/xL06n0+n00z/906eLi4vTz/7sz950/nd+53ee7r333i97j1/5lV85/fzP//yVn5/5mZ+5fBHYkt9N9lZVCqYCY6s/BZnXCNSWtPjgpoFrAlwCt1UgX/5lNcakGJisUKhtVQEFdB8yvhXZDigkDxGIkqIVp9rQdxJkwXofGvO5CcXIEgUTnhUeE3q2WALSNfYN0AqpjtsHubbSlJ/kGxK5HRf7ULLI3omDiIk2NTFLeJzGrf1H93/xvncqU/lziWhfplUicCxdRmEbOj6bSPpqj5XW/bvVfuPBSlvXfeuDz1wmJkXvxkCkYUVr47uJ2Htpc4mua/Wv3Xv98jmAfZZCclfS1Y7FXtV38WPvXb+09/qS3+efEgXtvZVChaeVw33Yvfixutt1JQXNDkmiJM/GikJz31Z9K8KuIN0Cgr7XfcXSfHyFdm1yZi7ipb2ygZVrH0bewkt46qxlOeJohmaLK+WaFablDeMwnBbPbbf+uHHZveq/bevvYp42OCoUeS+xqL9v0Uhf8AHXZjEi+jvbsuOjjcSRxtrvzGOK12LZOPR+HputxGGFrYWi7uX45s9yiHBo+cXRioF81Fk1ifq2tdipSFM/zR2S/s2BcYO+O78I7PY+ZwFwi8+/+Tf/5nTXXXedvu3bvu10Op1OP/7jP366uLg4/fN//s9vOvbjH//46ff//t//Za/3gz/4g7fcaegsAM4C4CwAzgLgLADOAuAsAM4C4CwAzgLgq/U5C4Av8/nIRz5y+pqv+ZrTb/3Wb/13nQH4nns+eoVEmWgLMEG8YAzIfbixBBB5M5i7pgAoIfD7kpRryDeZBh6RG4O1ADdhBDqCRKJEAO8ncuOPYBkIdX8Tr32XWJrQl1Tt/TvmxfuuvgXXRN/fd/1r42BbX3/k2csHC1+6/9rpcx96+op9JRQl7trn+DZd7XKFlrrs+QGqwBogS/j6+xHZaAmCCaMx1ua2T0JQO9z1xWQlqdIOXteE77R0fmPfSpBOkTcWEht9ZUmQ42uyfPODz9wkIrxu/YwwuCxgE29+V59XwNnGFX8ujehYhaciXgLRPdqVoyVbkUeJwv4oaiXf2XwfOHUHqBXWxYpLh/ZexZ/Y0LnavmWNK1yOliX0f49XXEh2LDhEQF9/5NnLnVEa1/qUv7vMxfFQXB0te6nPi3fdR8yrzdoxnJDkSpYk8MaYxGpJvwUB25v47G8rsI5wYeOvdq6gyObP3HP90s/3WZ98QBGyJNWig74RBinuy0NhcePmdRMm2ql2rLA4smljvHFdHOk3K+AUz+amfoz9znMs3S1u/axxCx+MtZ6ZsT/Zq3tufkpkds2WDNVX85r+GD5uEUFs7JiukYA4C4Db+5wFwJf5fOpTnzpdXFycfu3Xfu2/6zMA/9v/9LErD66ZoLb6tOCxgCTwuz674DWQrJwtIdtjDU6Br8qQIkMg7vej6mBg/OYHn7kULJEIq61bVZOABA5LCkqIgrhkQqCTKKydJdFWjEymCpijSpLJvvOyW/1oLLO9JKit3BRmjpNEw8QkUDqOJp2OdcZB0ZL9lyQn4qzELiE16VotK4nUX8lM/mWFyXhoLEtm9cOdjqoSbjJ0HKxAJj4UJq23PRKx+lPCy5jYZyokwSZr2+EMgffMBlXqJXTaVhKaP7/8wI11t0t8bE9+ZLVe8rh4s4SrGPvch56+7FukNZK1BNhKqLuLdEwiL9tIShKj+nQ7Bmk7sUMsXV9IAK3giTR3ndpgwaXzE3zr/7daG60Y7uezH/jEZfVacpVPGn/+fvR8hISva4oX4uatCPkRkd3vIumSVO/puOWvHtuY68+Nz1a/E5ReN9wxVrquGFAcSGaNfXNK+Xb9rrEw/pxJ3lmMLUSIfcaCOV9h3b/6+Y6TYiW7KcwXNztGf3ZstE1t99kC/cixctbUnCKmGNfFiTO6yzeu3Xv9CofZsdB/zw8B397nLAC+zOc7vuM7Tl/3dV93+uIXv3j61V/91S+7C9D3fu/3fsXX9z0AR0EisB+BREEkIBrEm8wkPAbZAv6Cf4G65F2Q8LqBvCDx2sPvJKq3JtFu9adrBbZ7v31AsCQtKATAAbTtssItoOy96tcSuSXQJul9MDeAl5xtlVtSsSItsrCJMKJZ333gzPZLSKz6PH7X01cAVfKdPSTER9PA2rrvE4LuYCUZTCyVULKxpETSvcBvsikZ5UM7Q2Ry7v/b5vxBUu8Ym9yzaQS7/myS32USWyVbf+z4JeX7ror6ukLVF4bp++6oo80lJhL9rf4tMdiYrl/70OmKrt1fPvxa38v/JB9Hx1uF3evmtwqhXQ5SP3YJXSLXmS6XZ0iiJFy7BE8xrn+swFsCo9AwhvUByb041r2qmotFnb8+kv22uKDtjffG5/OPPXX6/GNPXfF3xyGfMHbChv71b9lgfUHyrkg9sk/fWwxpeZ5kdAsWYqbXdTmcZHXFkhhyq/PNb/8f9t48yqvqzPvFGRQwiAgUlFQVU0EVQ1FAUTPzPImADAIyzyRpWps3fW1fVtqWN7Q3sd8FkWgn2traudpJNEmbGGMcMmgnJmockjgGERRnRHCKz/2j+J76/L51UKtuVur22+es9VvKqTPs/exn+H6fZ+996Ec8vjIGHc+u5fecjDOx4O3zHZkkL9mR+1/9XfrBftAWlBxQEov2pnerH4w9IunuV/UO4oNtPTcn20Czv4rJ9NHLumQEoCVHRgAi4uDBg03OPfzww3HKKafEzJkzk3OTJ0+O7t27x6FDh5Jz1157bbRp0ybuuOOOZr9XBGBj9wVNnIGXlZUJdqDATDmDkJywvjSrZ7qzpsHTMdMhyBEJ0AlQ0EESlF9e0Di32bNqClR0NsyYKPualr3TexgcCO70XmZO6GSYvfCMpBwX20lA6NULOTfNFVY7PTPKTK+eSQLm406Zk2www80AzeyLztER6/10wswW0dlzS0mv3KgdnMeq7BsJD8GgxkBZci+Tp2W4NBYEsAIGtAkCYgIu6iSns0hnKFsCIdcR9kPjR3KWFlQJUGgXnEvugFfBjCRTIMIDJ+XpQZs6xgBLW2F2knYu26bukOwwCaCxYTZTdqN2Kmun5+qZrKRt7ralyddFCTa5Veb2Xrnb2RKgS4cJQtyPuGzcL2isnThIBszCy7fK1jl2ejarR7qGvsH9tdqjr4QT9Kk9JNW0VQI56QuJiexEpMBjzOwOm3J8C22JY0sdkOyUnOJ5EnX2QSCcY8oxcd/EBJDbqctW/oRTyvg86T4z4D4dkzInqNZXoXWdxz1fq6H46KSesZl+Xv0XoKbf1Xs0PtolTrKgzAWQSfy4qw9lJhJEssAEoWxN1/N+2QptWfIlGSPxkYykoxp7Vgc0zZT9pX9j/CGG0DtmdFycEYAWHBkBiIgxY8bE1KlT4+///u/ja1/7Wnzuc5+L008/Pc4888x44oknkuseeuihOO2003K+BNy2bduYOHFii96bEYCMAGQEICMAGQHICEBGADICkBGAjAD8pY+MAETEVVddFSNHjoyzzjorTj755OjevXtceOGF8dRTTzW59v7774+qqqpo27ZtdOnSJTZu3JhTEWjOIQKwJW9BDhATcJAhOfhkeU/XcM4nd8LhMxio5YgJcAnauOsBjdHnRer/afgKCv5+Gf3WvNypKzJwBuS0xYF6NkGTv4cO1HeTUR98/vvWvKYLjuVg2EeCQ86NVtnbwaUCkNpJwKjxc8DPAEnZamwUvD2IEvjw/QIXHlyWnLUlCYAeBAWY13Rp/FLlzqL1OfvqC3ipROuBne9SmxkQdZ2DBP6X5wlApUMKIPxIkgIUA7reQxDHZ/u/qRccO8mR82GpVwSmnHIj+Sq46Rz32ubUFfWTAEY+QWPjIJ5kQ+1JA1r0A/p/vYvle9mIg1TJgbovfZb/IjmjLnHMuDZB/aON6D2yX38u7ycwIdjX3wl8HcSSSDkxELDjewUCNbXCp1eRoFM/aJ/0XySK1HPXMSf2BJPuG3i/E1vXc+q3dFfEjbJxf69r2WYmG+i3RcbUD7cnB8lpCQrpVlo81HPdl9IP0W+T9CneEVALBJOsc446z8uv0Zd6QoN+RGPt5Er/777dZaO+MDZT5vQJut+n5ejfXKwrGUqv9D7Zq56r2Kg1K/yukOyFBFrtyG8/IfLbT8ixAZER/b/rPuMj9YTJHPm87DsALTsyAtCKBwkADVcZPn7Ahw5bO3g4C5fx0cG6caaBH3c8zJ7IwNSG2R1yyQaDt64j0eBzNV+QGSpmcQkICADoEOWodb+qIno/Mw0Evco4MtPITIf6weDAjBirHgIzJAvK0NJpXZq/KcnUMYOpgKDdRPxH0rU1r2GBosbciQUrHq4LGiO1lduLcqceBSpm/LlglIFAOqOAyPm+DNiefWdAYgaL7WUml7qj8faMm55NwCUdIPBMq56pz/q7Mn2SwfZejbtZODml3vsCRP2/niuZiyj5gjqCDieZ1BsCBwfEHqQJ1tjujyNemj/u40PfwPv5Lto0fUfaYl3PbjpBJRhVPyh/VQxYDfK1KiQ3nhgg+Xd7ccAlG1H/KC+CFvpaZnoFdJz8ijhTjk7cnJhTBpS5Z1wJJpnscX8hHfTEAQmZ7p3dYVOyUYPaQL8m8EjCT8Kk/si2nRxR7rpePtzHxsE3dYoyU1tpX/KJ3lb9GOckB/cBmpuv9nrlm324uv/qnPZqDKh78kEaN++T64jig7ddesrEgHw6gbKeR11g4lDvoI7JP3BdmHyPEzyOpd5FfVRbdE5xIo3wyO9LN73SzP6v7bYwIwAtODIC0IoHCYCcEjMqNG46fzpQzzjJaLliX87JMx96n/7uJUUavcA/g4CMc1e/NTlTQQSePPvHYMAvLHp2liVVz8B6gGX7CaIYhDzIkngw6+VVAS5YUt8UEJixlazUBjlWZhD5U+aXZI3jzH9v7rYlWdCmTCaBH++XfAgOGTQJPBmA9HfpD4OOgwyRTOoZAd7uY3s605GTzHmbHCzpPAkmx5zOnzrgGTmSY72XwZjjQXLDzCYJGcvrBJVqC6cfEBywvXpmWqaS95Ho8jqNBYO0k371N42Ec5ob+69n8jm6lwRAes52qU1qi5Nq6p1And7phIXPZJXTx93fxeympqWwwujyogyYINAXlOmLJTcHrp4YIHHxqWoE8uq72/qOwg3JdEK3H+o1/a+mDNF+PMnA6Ve0YwIujwcae8pM97hfIGFQfz0hRF1im9z/MLmiPrueyi9z0wTJk8kq9Ye+WO31iqX0QP0U4eaUWVZ3KDP6Zj6PbfL3EBBrK28n0Hq3y1ZJBPd/6rOy8pIVp42xXS47vYdtpC6rj5JNGg5h3CUp2N5rY850PyYBqHuMBZIxqzecSkRbW9NlS/xN/vyMALTgyAhAKx4iAGu7LUwMxEGkHCiBDYMknZGCwbaejSVLZhBlSJ49TANScgLMoCiYM9gpgDuIouP0+z3Yqx3MgAps0ymo7EjHIdmQ7AiIElARgKkNHtiYYWaGif1hvyk3kjZm8H03F72LGUkFCc9AcSz4/wzuLMMyyyOHzD7Qsbps1G5VGVh9kqwclDFYasyYBdWPWXK9S9UPXsug4GBdMhPQ9jI3+0HwxncyYDBwkZjweXoX53d7FYFVFgXPq/uvzrFd6YiTAhJNBmnpIseMhFh7cyvAEjBJv0gcCIL8WvVrZ9H6nIqUSBivZT8oUwfZHEdmJeXfND4+PYOAWP1yUKJx0TW6jm2jX/F2aXx1DwmPCJzbEeVKvaNsRXBInjQ1RG3i+Eo+1AWNu8aZP9qTSJ8IFZ/hW2Wyr24TjBcue/bB5Ub/o6wxkyySnZMQvt/t0smk9IIknFVRXuPVHxEp96NeaVM7PZmimMhqHfWPbZa/4Tm2231TWgLAx5cxx4mY7Jgxn313vaHs6U/cB7AqxrHk1DbZnjLz+l3Vd23OO9OmItI3yy4dBzA+6p3UX50XBqGcF3XO1gC05MgIQCseGQHICEBGADICkBGAjABkBCAjABkByAjAX/rICEArHvwOgKaW0Bg0L5nOheVlAus0UO+OSkGKhioDc2PkPF7NYfbgJANkMNHzCJoElLhIiH2QcbujpMPVffp/BhoGNN4vZ0sCIRn5nFw6N/34cSwGlzTwLDBAciLwq5KuxkUBk+/n/FgfB8lY7/GxlV6kBVQBRjrmzd0ad+9gMJW8GUgYkAmWOBWAgYskSe3i9BJOuXDZsgy8s6hxkRnfy3FlUOF5Tddxoqw1KCzLU57SgTSiRUBMEqHP2OtZAreSr/pKgOighHas5zu4SQNoBG/UMYJW3qe+OLglOaCeMgiTaLPdTCDI9/BHsqt+pBEhf5dIJsHJtp650/UEzvYUr0oWDZIUU1aSBxc98lpOOfP2kjgRqPv40H5ItjkGJHLsl9rlU0RkrwRd9HkcC9op5cj200dTR/QcJVjSCItvfKB2EmDSnni/bI7PIICj391Z1JCI8GmlTroYW7y9Hs+o73ym7OF4SRYH5E64GJeoE4yVbutMmjiQdVJL2ZCwUA5b8xr3y6eOKH5zvZcnRxSjpBuMzXoHx4ZTgzgtVjGG7VLbjjflyW3i8oINydpG2rn0nNeKlElu2XcAWnZkBKAVD24DymyLAxwZkRwDsyFpGRQBGc9EKOhynuCaLltyiIeCkZwH2TwDjcACgzqdms9XpVOms1RfCUoEfni/7lO2gXMlCR4dBCuLwSyO2uPAhdsbsn9pgZ4gQE5SbSQ4E+lwp3Y8UMAgLQfrgID64ZUfzy6lyZH98cCjqgQJqVcr5JQ5p1PAQ0RRMlegJpmSHjqI9YxrWqaQYybZOvlRICJZVBWC4+hBnGCWgUyLx5kdJIhiwHPwTftxIMlgL4LBBXleZZKOS5YChQrInhFkdlJ9J/EiYSVwUtu9Wic9pP7IhvU+yZH2yAwmfQbJoM/1l74R6Ep3BdhoP+qfyIze49lO6g/1iZlY6pJsh31T/12H+Q5mRzWmPpbux3znE+oHgbPkIhlwzPR8kn0SdeqHxoRgV8TV+6b2OrHxrLr6RBvbmrc5ru6/Ovl/T2bwufLlagNlqvexbxqbrXmNawM89tDOCcR137aeuV93dj9MMry9V8MOeb4miz/pktbCsGqZluVOewbXLPCnKjjJIhMnaVVL+pw1XbY0IQWKT7RdJS2cCNEWXQa+zat0Js23MwF5ecGGJNHpOICEx/0lbSLbBahlR0YAWvEQAfh8jwVNsg9pGUj9P8mCB35mTHcW5X6VlgDOASsNm0afBhT4U7Dj/XIIDHrsFwEMg7pnDRwoy6kwkOt+B21yVgSzBCR08Do3u0PuwjX1jfKVQ+dCQ+5u5OSHGRPJSXJLI24OuJjZI1BSO3Tep+tcmr8pxzkTwNCh+5QYOWNmQdUu34tdQYKA3CsWeq4DMF1H8klgyCCpfgskKZsu2fJrptJ3J3waRy7YU/uoewJjDlREdhgoGeQIzrgA3zP8XtJn9osLaC8vaNwXnmBTOsQstxbnexVHz6StesWDgJAJA409f54NJcBw4q0+U7YaB7VB7ZXdUffVR8/m0sY55rqH11Ke1HO1WxnJ2R0a91Dn+Ai4E2zr31f3X50jR1a5OO1I7dICSn4jgdl2Xudgh+SNFSZPGul5u47tFy99k59wAO+ZVfkur9ZxzJ088T7qH3/cMpXjJjDPPjDRRX/BBInulw4xYSP94kJYyVBycd8mv+CVFFaEaT/uP9PIs8g5Y6XHV9qN+sgqAgE046raTaIrWTGGCpQzmcJ4qWuYIGM1hwkWEgjpDQkAiRXby3d6pYNtYFxn7ODUMeojx3RXvzXZdwBaeGQEoBUP7gLEACUnSmPhlAIGdA96ZM50xtyvlwydIJvlZwIZOR06Ixq47iWgFoBhwCCBYHBgJofOhH2Uw9N/3amqP3RKnAbC57vDprP17AWDoqoEdEJOdChfEjmeE+ggOFIZ1rcGJSigkxf445h5gNEOFWngR6TBs7DqC9+vzKAHEs7zlI6S9HAc1S6+i+fVLv2bgMeJMN+hcdTYMgvF5wpssK0iwxwfXbO525Zk61XKRHJj2Zy6RWDlVSbZG6sNzFR7hYXjQL1jMKRcGCAJ3Lxisq1nYxVQgMwB3o7CDQmRcmDDTJ4AV9oUIpIpBnrfY133e4aQRIhASfbt2Xu9k891m2SWU3rGSgoz8O6L6UukKyRaBL3MJssv8bn09czkp9kfx5CZe05XI6Clv2LbRY65hoLyYsyh79e1X+mzLmd6F/0j/bmmM3F8fNc0+nranxMq2rCy1677jFFMGjCrz8oJz3Hdkn6cjiUfQJ/FpAWrFYwvilNKXDCRxOy7xl2VIk9acEyUgJB9cywVJ7XfPkn81ryGCszV/VfngH+OD7cbZ3vl06gjTE7J/1KH9eM6L5IMxQ6vcKZNkdQ7vdKs/8qPZRWAlh0ZAWjFg4uA6TzSQCUdP38CNwwOygQR8Og6smYHP8yO+lxCVROUSafR6xkM9AqKTgoUOGW4/IiO2qqMnIKy91WAmVuSMZAxeBMs0Yk4ORLoYXsZkDgWJD+SG8u5HEvJgIFJbVb2i9kPggKCYa+QqG16LsGd65LazQ+/MItHgMhsMGXr2WEFpJp2qxO9cWJIoqBgSuJGkOpjlgZYSABIOl1HPMMlu+EYUScJophZ1L2s7ihYal2MxpdjpuBIUE+ywkylriGApExIHjiuTo6YZfMsI+UruTLz7R9S03s5JY42kZaxFRjWc+RHqEvMaHKsJC+CB/WTBJNkgWMuYCGdIPnU+6lHIlQOzjzhwDVDXj1SgoRjRr2mPOV7WLnwhIraqkW1bkv0xbJ/yYYy078JuHycCK6ZROA5r+xJLt4uATcSKZIT6p3kSPBM38fKRNrUIhJ3X8eiqTGankMfSZnR/7uusG/UA/enAvGsPHnsOZ5/ZaKBNuPJEMmFJJMkgECd/pB+m7oon8WNRng/2+rTxJi08DEl0VY76FuEHehfeb9ky6oGv8ni/eKYUl7ZIuCWHRkBaMUjIwAZAcgIQEYAMgKQEYCMAGQEICMAGQH4Sx8ZAWjFQwRgRsfFOaBMTpggXEYmg6JR0bHTmdBZch4oFwGngTYCJTo2tc3BoUr+dJQEUrpGQZ7OW06Kc5VZIuVzdS3nuMpJ8f8dIDHg6Jlqs57vpVm1U88l+FYpmnN6GWScILEP/IgL5exBX0HYASHJgwNiJ4h0oJxaxAXiul86IjnxvP7twYXghnM1OQ7sG/VNf2Mg0/M5RYN9dUCgdvnOIgSKahdJqX+4ifZDAO2kQM9PIxWyKeolCZqe7SSZwdPn2zPAESS5nmmqjt7tUwkJjByEEfTyPOXG/tK/0KZ0Xu2XbGvarc7xHwK+BPxqp0/n4DjqvNrF6YSeqHAfwHN6j+RIvys74hiQqBHkihAomcJ3qE1qN/0gCa7LVKDLyYZAnwMfxgXetzWvcZoh1xwQ7HP81Gb6MgItEW3ulKSphdQj9eHK3uub7GgnmZNsfvBvHeL9H/ducj9jnreT1xJ0up5uzcvdspo+mLFFfaM+KhHCMdtRmLtDEv2sxkn6IftRm+kDZLv0F7M7bMoZO//R72pcaBOciknwrphGAkD7ld6QzNLPaxwoGxIe2joJA9vl0wgpa/e/eic3OdlRuCFZ4+RTzyibuZ0yAtCSIyMArXiwAuDBnYBI53cd26Pdwc62no0ZLYJmZt9ocAQ7csx0eJqfR6cmgyaIYQZze6/Gr/2JvXtWQe/1+aB6J+fn+h7kBEoOluTEFWB8X+K0gEEHSpJCoK32MYCz73R0cuoOHP0dIh8O2DWGBDZqLxeo6b2SJ4OaBzhmmhx8Slf4XJEEkkwnoXqO2kyiqnEk4KMe8BlOzghGqd96n7eBY89x0XgQEDM4pRFaBmnqO8Ew3yE5K5tGm1Iw9r4QFDvp1lxhPV9tZuaLNH1MIwAAIABJREFUyYEdhbkLhmnDeg+rNFxboHZRfhw/yleyZwbTs48ErrRDglyvIOicLyL0TJ8Cv1cRPFPJMSY4U5t24WutTnpozz7u1HWuoeI5J4Z8Dm2Y9im5u/1z/Qf9DzOwrotp7d3eK/37L5u7NV0jdWl+48J5VoT5ToFp7wMBnfsxJ2Bp9qf269sjfK98EH2a+i6ZK8vsJI+bXujcrn5rkkXlJOm8hj7LqysiSIy/IkV6lgNnEi3qqBMb+WdWoKUjlK1s1cEzQbknIHYdW79A3+WxlD6IMZvPJXEkeWJyT7Kk/REnKAFzVd+1iV55vKXe0Bd4G/R+3Z9VAFp2ZASgFQ8uAmZJWk6U4EuOiwHVjUGGTgLgWRE3UDlBdwgOvvkutZWkhM6ahslMCUEjWb6DRgEMZgZIFuhA2RcGXmYHmIFRX7mYTGDYnTWdrjtFZocYhFidkMzTMoCebUkjISQJXoKlQzzejxlId6Zp2Sb1W8CRgZiydvm4YyZAVEbNARez5zxHYOdtYx+YxaJcaCckYg64XB+pRz5VjKDGA7IHIk1F0PgwI0e93tZzc+wpXpXzYTtOFxJo9XZyep9sTkQgrW8OoggUSZj0Xk8WsG+cpuLZP/9/6ZCA01f6rIvZHRqBtD+X5ISEgYCFxEqglLrlNizd8qqAdIcVP4ImgjCCdweI1F33rdRT3e8JHdq9+2q2y8eVRMVJhOSqcwTuJMXyD6yeaWx1Pi1eOOCUf1Dyx8mq7ldSyEGf9J5jrvFy/65nE2hv69m4KFfXktS77lPH6IcoA6+2sL3KajMGS9dZdWFF1MeO5zjeaYkMtoH+ifFNIN8JB30QSZd8Iq9T8kfgXL5fxEDt5dbUTpzkizxpKFKmqYd6t9s4/6t3016YzGKFbHuvjbG228KMALTgyAhAKx7cBpSgQg6FbF6KTyfsJTE5mLQSqgdH/RQE5RTYDgeTnhGUATOIy6E7s9e/VQL28wQlup/BU23yoKv9pdlGOQjP2Chz6kGazppZNmb2nBi4AyWgJ/hVfyhLPc+JDx0lKyAMpnwudUAkhf31jAoddto57gThepOWYdb/k1jJ4TMIHO8jSxpL36qWwY26yVI0s88O4LmWQe2+vGBD8rEcZvgkC2ZsOdWDc241/pS3dIXvJ5nRefWL5wRit+Ztzllbw326CfSZRWNW3omu2iPQRbt0sMR1OCQWaittmECCfoEZQLdnr2KIDFBv1T8SC4I92praQT8gmWocBUav7r+6SXVFdu9TnOhTnSxzSpX6LN/CcaeOskKjSgarEG5/koFk6QDu8oINyU4uGj/aAfvBbXFdViR7snlWBaSraUkLyob+WbJW2/g3+WK110mSJyLUf4FJtY0fdmObNP6cOuI+VW05HuGkTnEs+RzprmImQTKTESQXHlM5PrSztMoAyR91gTKkP5Yu0ve7/9/cbUsOASeglv/l9VwrQlmI8FFeNe1WN/FvrA6QoEguSgrI92kcGYMZ9z0BxCTRyq7Zh8BacmQEoBWPjABkBCAjABkByAhARgAyApARgIwAZATgL31kBKAVDxGAZV0WJYqtQEiwJLChcwRGHgTkOGjABLgEZw4sPWjw7yQhDNJqhxyjnKNPq/lKn3VR0251zs49ei8NXkGRYN8BO8EbgzkXnqm97IPko2f7NBeffkMnTGepcyRBdM50lB4M9Q61QUGLgIvtFSDlPG6BNn6QjDJiuwhUSMI0fk4sHODpmdQ7Jz5OCHkNz/F96rPfL/2kPpFkSg57ilfl3EOg7MBTNsSALJmIgLA/CsgOCATsqK8Ozgl0OJUgbXz1To2fZC7b4TldQyCr9zqAccCg9moHKE8YSGc2d2tc3E4bc5vgLl0K7u5P3AY0ftytijLTVBT6QflC+iYCIOoU5cxkhP+o6w7gJUf3F+4L2Q8CPD6TPpb+N82G9GwBb95PG9C98nMkoBoDgUoCLrVP46Ux01QO2Q59GGUk8kzZSGbuA/TcS/Mbd4MhKKWPFcFl0kPtS/uQl/SEiS/5EpImylP+MW2am+TnSQC1i/GJcvNkiP6t+7WmQc+if9PUU+r+zqL1yTc52Kc08C19IqjW+z2eS0fkY0jEqGPyd7qH02s03Yl669+gkexkJ5SvxyS1j/6ZsZFkXUTWk0LqJ+NyNgWoZUdGAFrxIAGggTNrIiWXgbsT1r/pHNJAEIEBATwzhsz06Z00Zs8myfAJth2Y0/G6I2GGi8GYYIOg0QEcyQgzBcxAMJjTSdGpy1FRjswOOUBl9oqAxrPReqYcKUkRMz8MpB7EFFSZLWVmkuBM9zBD7eBH72WGRtdyO1M+V4CQaz8ka2YK9UyCOz1bYJjjxayT+qp2+DaCDFLqt6o5BEG6x0G9kz7qbxq5IYgSmNBz1V5f7MjqThqZYzZeNkaCRRsWACMgJ6n3MXV7YZWFeio782sJWAiAnNwcj6TqPbRLJiSYgHBdF4ihb2HigOdlA8z0qp16v4AnF7oTZOj59A+0XfdZJB4cS9of/Qh9rPpAu+aaKwdQ0gXeT99IACcd4fioTdoMQdfQzmmPJACeBCF4dnJF3aENqK/UTRIb2qBsnUkg6g/XJ1AOtHXql/pMW6bMNnfL3cZafSXJVz9pm7QHgXjGDiYaZEvSJxIV9Ze2Tv31OOWEXteIgLNyyiQhbV4+1yuJtGHpgFdG5XMI3JlA0znfRphj5vrBcXQ70X3cISmN2LOteu6yLlkFoCVHRgBa8RABWNR5cZNMPbfFlIHSGdMR0vnwOTRSTV3w7IMCCB0pnQ6/IMhsn55HUMd3EdQKROq5LIcz48QFRnqPVwi8X559dAIi0MYvJsqB0SkStDGwMKgqeHtWRsCUfeEYMIDr+wt0XuwvzwtketDTO0XSSMwcLMhZejCVbAnC1P7dKO/yOQzO7J/GkgHcwSEzzdI36uLlBRuSzCYBEZ2/nyNB8+Ar4KVgrX5x4aiCOUEjA5f6wiqEB2/ZqgMrjRmBgsARAYjup61I3m6/Gm/aD8Es7ZLZQa9epRFl1xvaSFq2nICACQAmDNQm6vP2XhtjT/GqnOys3yOgJhBIoKznEHQwG8+xYXu92uAAgsCcWUn1nzZPUMOMLd/PsZB8HFA7QKXcKRNlxtkfJjHUB4LWNLKhyiGJM5MEngAhYJdtehLA7UEy5viwcsxEEcEuiZ/GhZl76reDetonbdeTUm6/0keRSgfglCMJLd9F8u7yIFiWD3RQr0TS1rzNyXayqor4/ZKj/svYKv9K/0awTTKmqZ70C9JxxnGSfuqCkxTqHYF6mgxoW2yXyFFawoAYxe1E+jijY7YLUEuOjAC04sFtQOkAFfiYWSDYphPRDgAMDjQ0fVTDM34KGARSzOQqqNHYWdJmJk5BWsxdToQAXsCYGXA6HAdVmmPohu8EQPeSEDDT41kr9UFrBAQAvYR6af6mBIRs7rYlJ6PGrJaClY8VpxcxSHN+Ltt2PHKjKRAEFGljplKt5mf6zhBpBE/9lk4JYFKOup/Tq9RGBQQGEpbFnVDJyTM7lUbwnISSEHCbV+n5krMaPx4j+9mN/itgMMOtsRGYJYBRHzxr7LrmQYwg1KtHJJ8MelvzGudhe1bRAydlRLuT7lKvBHQFGHyNhgNMBnMBLoFk2p90kfquPrPqoj7z2bIF+QL6MScgJPRsLwk/3yXARJ8lYkbd13x8EUKCFfXLQbADT64l8cqc5M2xoF7tKNzQJGMqn8q592lg1LPhupfVRV0rQsv76YfUX6/saVycrOvvDqZpY9IfZrr1N0+ikJgQTEpOtFu1V3ogv81xYlzS9SR+rvM8R7DqZI/VIBExEkcmNghu6cfoAwiKN3fbkqOjV/Zen4wb7YX302/QN9S0W51jUxxj+gDFHJIFEQ71l7rn0608UcE2aNw8CZRGwnUNK6L00yJE6i91jOOu9m3sviAjAC04MgLQiocIwNxOuRUAz+jJUOhYnN17cJDRuoEyK+LMPS2T45k3B2kEUTTq7b025nw4RQ5b4NnnbPN+fQ2ToJTlP8pJ2ay07IGIFMvLrIJ4kE2rADCjpGc66Kf8CI4cIClIeSaE93sw1NgSKOs9rJYIjNCB6pzG3AGiO2auRfDsEIFVmn59HLhj9p6BJQ3YSH7+XMnAs1MCpDqv4OlAzrPelDfBA9viJNPHN41AEMwRhHAcnQCordQFTvujTrLSpGDOLLWeR1sVaVLf13TJrSB4ksEzc+yvxsv1WfooInZp/qYk08hnuq57gKe8lWBgBlI+SR824yJqgXsBRJId1wVlmH1KGHVJOsvqifrMqqL03NegKMnitk7fQzBMH8NFtRp3khXKi8+Wf3CfKmBN/da48X7K2eeCUy7qg9rO6q30ySuDXDzr8Y7jQ7vwqUG0KcmXup0GfumvdI8y4YwbfIcq8Ix9sl/6UibRJAMSeIJvkQhey2SBj5fHZbc/Jpm8EkPCJOKrqUN6NmXrdkIM4Pqkv/l7JGNOW0wjRJLLNVjHpTZ4dVELphnXiGOS8el5QUYAWnBkBKAVj4wAZAQgIwAZAcgIQEYAMgKQEYCMAGQE4C99ZASgFQ+uAaBDkXLTEAh2ZDSaEkKjdZCj58loZEAMJnoWp6Nw6giBLMufLIHSQOU0HGASWO3utyaZay5ASANXmzjVxsGJOwz+NMVE03h2FG5IPtLlAeqaY3OS6ahYzqRj5gfEHMzKQbO0enX/1TnTB1gCJREgOOE8Tsrj8oLG7dZ0fxoZpAPX/dy5hcFc7xex0jPVBo41gzzBn/6uIM/7PVj5/FDXeU4Jo0w1ZiQmDLwMRh4IpaPUfdoJg7SCEYGgg0eNhYC+dEDyEAmh7LSrCc+TsDMgc2zULu78QpmILFPGrre+1R5BlPpK0ix9U1vd3pac1TgljrJ3Ai7Zpa0RSQO0THqovRpzjhXtjTZFICHfpz47QJTucSz8OuqhE0KRDvZX7yMYI8H1d3kCQP6cNqEx5jPpS5kc4N8lR+0UJh39JLLNKTtpfpU2RV/qCR0n3OqbJ1mccIlI+ZeM6fM4VkyaUJ90nqBc5xnfXF/dLxKQS/cpB5effiQC/lzKRvbpY0mf6OOj/rIfHptdV3xraddzxjdOKVMSjclIT2RIRxlvpHu7j30tnXGO8Y/6qL8xTuW3n9BETxin1N9sEXDLjowAtOLBLwHL4MnIHSjIcRC0ySHRWTGAM1PlANOZPLfxlAMlYJIR8pxn8/RvZeI8+DtI4yI/gg8HynSABCXM3nD+IttEObIfaoMCDmWheeaeSVL7dJ/AmWTBNupdrLoQZHjGVWNAsMx3etDzbI0cLbPOTg5I0BicmMkhABFY4tx9BnhWQkhcRfBYOSAwkW7wXQTYBJbcEs/1UYGGwZ1kmXNLCVDTsvzqv9rqwFYBy8kzAZCADufni0wKlDKYqs0O7NQWASFlKkm6GVQ5b19tI0HRuDu44zmSaZ4nMdFzuZhUsvGMuvwP5bv7GAl3PZetEwjQ1mn/+toqx1ykn35MbeXiV5E8rv2RDgnA0q4cvHrCwQmlAAqBsmflSVi8OikZUMcc4JI4EpxxhxkCZ1VkuLOc+kuQzcy7/k6ZuN5JxqyEOFjnedlOmm7xujTyTRBJOeo93BWKsvGqKUm54q30mIkOrwaRYPI9XMDveiPfxb5I99wnyn8ydjghla4zdmvMPBFI8s0Y6HZGe6EPJxh3oiqfR7xA4utYgPZLH8oEB+MnbYmxljbnCbRsEXDLjowAtOLBRcAyOpYqaeAsa3IhpGf/5Ag8cDJbw3P6MZslkOK7BTiwlpPQe5iB1GJgAle2h1UMAp7tvTYmJV0nNnLSzHToes+u0gl7dsYDmeQikCCnzvK9ZO5ZcbWBQJBjocBMB0rC4Fn1NKfPwMWxpAPk2BJkE/BTnzzzor+nZZ0EJAlA/L2sCug5DGjUP4G4tAwZdcwrA9Qx6Ybk7sGfsuH7fcGjgA6zS67n/KAc7YZVNdqestcEcgR9/DH4MQtHYMaxJflSW2RzrOJpbDlNTO1jkJdcCKaOZzdOMPlLm9JB0ildZzKDpEs7mXiFx4ky26++Ehg4AaD+89+uM/wb+yVgTp3e3mtjzoJzElKCFyfplKX2fXd91nVuPwJoAsisirjep9m3nsX20D+T2FKf3R7Sss4O3DzhwKqOTwFSW3WtyJ1ApcceJhwYO3zXIS3YpW9Tm2gnAsisNKsd1GeOq+KN9MOnn1LODqgVI9Jsj/p/ecGGnLjGsZa9OSE9nr9483Pn5sQfr3brXmEK/fQMJn8Ui9y/khx5bPU4pTHaUbghZyaAV+G29Wwgr5yGJrsmHtpRuCEWdc4IQEuOjAC04pE2BYiOzcGZznNupgMLZcLkXBlImIVgNsaBICsRZOh0xAwA/oy0bI/alTZn1IGrZ5w8iBKE6Fo5MQYMD2wMepzKw8oG2yuZMRvGIC1HyalVlA9BiYMiATcPyMxK8hnM9qY5fU538PsF/nSe7SXIZ590nvO4CS6dZHHcOb7McjF4q23cQtMDGKtHBELc9s/JpxMZtpHtUxtc9zQOJGfMINL+9C7q6JouW5K56LRLgoM0mfM8ZeHBX+CTciQRItCX3AhGSYgUYAmc2E7dq3e5vTEbSKDMPvu0n7QpMJI35cjr06aEuA1IV9le+TKSBG5h6QCR/Unru8uRvpR65skbJh7c1/g4SN/dh3iWnW2nrqj9tGNdu71X7na3SmaQaDNJIZtiZcFBmpMK+iuSamZt/UcZaWyYOWdMo8+SXEgWmeARwGcFmtUv9YUfK6Neer8YE2irTkwcEDOuqg0cu209c9fI8T0kXdQhvk9j5ffQBtLAtZ5LLOFEhvEuDcjzJ9/DuOpJAE8wsF2q1DG5xjHh+iJPGmVTgFp2ZASgFY+MAGQEICMAGQHICEBGADICkBGAjABkBOAvfWQEoBUPfglYCi/jouHLsLbmbc750qEcNcvD23o27ldMZ0nwLAPnjik0Kho3AxQdDhfpydEScMlZs/07Cjc0+eS5rvVyN+cvOxHSdBw5DAJGB9PsiwNXBm93+nTWXnaWDFxG/Lveq2cSNNJhOpGhQ728oHFRoK7j/GrqCAmFB1N3+HL2HtA1BtQx9YfBg1MtdhQ2Tv9gMJf+6V6NqeTgQJ5jQNLgQImBSCCBAM8DKwE9AxhBuOsXyRPBggNagRsPRgJMfB/7wYAuWRGQUP84ZrqX4Ex7vTPwcry8fQIbJDxcR8SpEdxbnv6BYJh6sTVvc/INCuq+j42DEd3LaS0EpZwCpPucaF+avynRR9oap1TQnpysq61O2DkuDhxFhtUmB0+y77TdujRmBJ56B8dM48F1LhprycOTKSQxGj+1yYkBdfR4wF7tJIHW9DkHhiQxLjf9jaBO91L3+TeXr95Nv0xdZV986pjG2/226/H2Xo0f4vQ4quSY2sWNDpj0kLylU9IVxV3uykPfT/th0onxXm3RM45HSNVO6rnaQd11ndPzuS4uTY5qK4ktbUd6QDuXnPRM3evtIXlU25iQ0bMkm+w7AC07MgLQigcrAFxEKGPiosvjBU45mrRM/86i9TnbySkQMiDLiTL4yvkwi8NALkOUA/N548wyM4hwrjKNXI5S/9aHdpg5ZXbJgbIcI5+h8wzKAkTK+qhNDGSsINC5c92F7kvLGDnY8kDGwOr3Mig5SeO7NI4MvAKGBBp05nwvA6FvEZnmlOW0mWXn3GAnMQRACjoKjBwz6RGDLIMRwZn6Qz3Sj3NXZQNOGgicCIT0TAJFAm/1QXbCdn1clkvEiHIVsODYepaQIJSARuPm7effqM8aD68AcDExM3ayWZI5El/qGceXz3byK5/DDwRqPLQ7jYC63kuwQ5un7sk30Vfq68IOnJyYSO/kC/STDbBPGts1XRp2M/FMO3VMyQ4ng2oTZb6zaH2T7Dt3aCHJ0H0E+JKdgJz6IHvlmiMmk9L8ufdBukMitPuY3Eha9Qx9HNETCQR0bpO0BydzBLDSSz2LNiQSS71zPSf4VvvZLukTbYlEiASAhItyYBLBY1p++wk5a+vUNtdzVhxlE9JFxmWRfflMkpC0RElahf/S/E3JQnxW1egnmRzQGFHmntxQrFZfnNSycqdxpd+X71E76UepPyTekrF0f223hRkBaMGREYBWPFgBoKOiI6UzpdOQASgDxOCk4McdOAiIGeSZEeC1vnUaA4pnfWS8nJqke9yZCKjovJwng6eCo4P9HYWNzoSZAYIdz+p7ZkcyYH8dcApkEDizXOoZYjk/B90EENyOjhli9YMLv9gOgikGEicWnjHRO9V2OmQFbAJXtVfgiOOWlqWkLEmOeF66QaDv2TcnHvqb7x5E3Wa1iKCTuklSoIArIvNxWTrqDEEJATFBkM57IKM9U8YE/L7wkHqq4M9smhMNyobP1bMIPvV36i+JDMEOM8NO4n0BMYEZ/Y18Eu1EdkagJVv1BIT6qvNOtkmGCBzcrh1YErRwjLlpAYE2wSETMszMsk0ELHqGdIZA3X0e9Vt+TmSRbWYCxZMp0idPMlAvSLrYDlYmdD0rC2oj9TUNDHMsWOmivVNmrELpXUrAyLYkR+ohK8zyLRwHZr/1b8ZLr3pt7ta4CYT6RVlwnDhurLjJN1GXSY5IXr1q4+PDKVn0vXq/fA2Tb2yD5K42epKB+kQfSfvkffyytM7rOtqJx0r38/w740za++m3SaRINiTHrALQsiMjAK14iAD8ba+5OQbi81bl2LU7AsEvHS9Le24gBIQyME3HSQtGXoqT4XEXHDohD5xOEnxeKwGbg9dtPRsydlf2Xp9s0UaAr73wGYg9Y8RpH+74KDc66jSAxWwqQR/lKMKkNvqz+X4Pag5ivArkoFHX6F4GDM+gkJQ4GZT+MGDpWt+BRpkp6gL7SgIgXdN8TQENOXvKQQHPCQTJx/HGTdem6ZN0htnDNDJIIsix8qkvaosyyNR56Q1Jtf7uu54QNAno0DbSiBYBgr+HdsHEAMkh7Y4ZfwIKjiVB1K5je3gTeHlAl+w8+GvMSK44pSfNfrytag/tUiCHQI46QvBMHSEp1ntnd9iUA4hFWOlT1QbJkn6UpEl9lp92sO4+R/PO9W+CNm4Tqfcza0xypHdLB/LbT8iRl8byeETZfTVlq2ewCknfwukwtKc03XW7py8hSCbx2dazMUutvtK/OcEiiSeJ9sqWv1uycz2i7i45a0uOj3Lfzi1W6afpx7SjjScXJCNVhljd8aoSqw1OlmmXm7ttSSo3aduO0q75ftoECQ77pPOsIKStQ9BYeLZffoj6qPvYLrWTRIDtJeHJ1gC07MgIQCseJABkwnSwzLixRJuW+WOg9syBBwtmHfR3OhoCQjk9LjTVPcwmEzCR5RO4yImwb3IUBAoe8OQ09TEvBhRWH/jczd225My3ZGaTgInTJvhcB4cE/nS2kouX9R0gkBxxa0kFPgYFZqEpP4Fmz86yLOwZOfWLgV5OnFUbzf3ncx1wazwkAzphPttBvGf00sbB5ewLPwka1U9m5x3g0qZ03gOmy4s2QSJGcE87S5uOwkwhCTDnrko/PYtMMuvkWHODCaqYCOB0ErWf4Irzr52kSmZOVhw47ihsXMcjwEJAxeBPnRdh1bs8ISD9oR2r/1ykKZJJ2TiJd/nSZ+rvBM3SJxIn/Vs27b5RtuHjQP+gvjlgo24wcUM56zzXePCZeh5Bue5jksZjhNpAwErgLDkeL2ssX/qVPusSQkz7kw6xvyRd9Be0Y9ddZsDVfvkpbR1JvWNc0zMoR+mGrxVQPyVnypLJJ8nO7VljQ0Iq/ZYs/bkkFrpOctBUNVZdvEKTFlvcDyrW0W/Tt+8pXpVTfeY4M2ZwPDhFkoCeoJzrx9h3tYsVFo9J1G0n72k+muObVQBadmQEoBWPjABkBCAjABkByAhARgAyApARgIwAZATgL31kBKAVD34IjErvQJUA2Z2SzstACaJp2HL0JA5yPFrcQ2crB67pGZxnSWehcrg/Nw3cuFORI3BCo8WsBIcMvO78CCBYMiaY4ntUbqcDk+zYXsqYwFGOnaVSBWL2Q/OtCbgUxAgEGKw57h4sOJVG7ebcTAf6nK6ghdXqtwMEJ4VO/Piu7b02xq5+a5KpDiyzq69ss2TmJILnHTDwfBrZJeAiWFFfFIxJ7JzY7CxaH7v6rcmxE7WRQUs6o6BGMOkBVvLwOchqMwkw7YwklsDMSZfsyImldEP3adzTwJcHU8mD76btUB/4ESTqtYA5x8wXeau/IgIcM04tUH90PafKicQ4yKb81QbtkKZx3nVsIa/GxQmWTzGRn3GCxY0ZCJ41hvwCutrLaSi0LYIljTMX8VLHaFMkawSe8n0cV4KoNN9GHdU4UHfTbNWTA/INXF/jwJOknYTLgbrkQd+tseGULyfrfK7exf7qGfQltEXuqpNGrvQM+jxP2kmHqbse29VmtlGxkM9wOR4vXkoPqbtpm4dQ/tKJtCmKfK6mPTnmYEyUb6ScmKig35XMZCvsr2RJv6CxoHyly/T7K7tmU4BacmQEoBUPEYCL8y/ICS50NjsKNyQZsTQAL5BOR7uzqPET73puGiBXQP/f/VbHN6vmxDWVs+KqsnlxcY+NOU7IMy3MGu8+Nk+Y+7kLZFzdv3HrUGb1CUBIRGj4NH4+14EgqxseIOU40jJZDA50yAx6zIQRcKkKwWylOygBCjpHAhzuvy5nxv4x4BMcOpnwTAyDgOTkpM0JizKNrJxw3Jx4CPCo33quMsMKVNIfgTCOJWVBsKJ+U/ckHwZ/J2RONBmk9Q6SPu5q5ARC1+rvBCiUGQG83q1F3MqssZ3qM5+lvqVdQ/3QLjTSRQditHWCfWb903RBQV1jTBKSZnN6N3VJ48Vna90I+0BAQ3tnZpbnatqtbpJNvrxgQ+zqtyaH2Gj80gAms7F8hnREoE/67cRE/5ZP1Xxq9016F4EmbZH+gpUjgXdknOQTAAAgAElEQVSRarbDQQ6TBWo/5/B7ZU1AmmND4Kpkkp6vsaVM0+RKsM6tIgl6SQAJqt0fq71OYnztFRMRrJqQBJO0eaZ6e6+mFVqv1uq58jNpi1gdaNNfssot2VCOGmevRDJWsS+SOceX13OMJTvqinSDFSG3Od0nOTqJ0DP4XMbJrXmb49oBK1NjMf2K+2vJg+Mr2VPHNe6UmWyaRDlbA9CyIyMArXiIAHypz8zYU7wq9hSviq8PWBlfH7AyZ6/7HYUb4priVbH72J67Or+neFWSiXXwLeLAZzib/1LRurhrel0cvuSciMs6Jr9DF58T982sic/m5S4m0zMJCOSIGSAEnvWJb3ecBFeeQRPYZUbyeGBDTl3t88VOBAACErstCyhHp/apvbsAuNg2Jy9qAzNGDHAKIgr+3J2GBEkkgWDFg2RaFijNscqB6rwcKAOnnsNFdwygDP4aM71LoCKNVKrS4FOxHJyoPZ7lZgDlcxWcSD6ZRSWoI5HguFK2zHiRtHG8GSD1PCfbup/ToLbmbU4WqnMMPUByGpgTNMmMWUkSUY6VsnDUc9mcAJkIj85Tf3ZjWh0rTWozx0fAgsBX/oftlu1QNr77DEEU7UWARbJhRVMJCNmdnqm/EUCwqqZ+1bRbnegewaTAlWfudT/7RvKnH8GMJxvo46jLTKYIhEoH6Xf5N1agnKzLblidTAPSTlb4XF3j4Fe6xL5w2qJXy6jnJDWsTjgoZX80NhxL2qFIPH2L23uaXyLJlJwUU3i/ZEFS7YBfbfHphbpWesM4QVLGpIb7LCcGjJv0n/p9pc+6nE0HlIiRLXnFwcdd45OWMGNsV3vpI+g72F76Jdq6ZOCxnUkG6Rh9rCc9aD8ZAWjZkRGAVjxEAO4YPziePb8inj2/Ip6eXRl/mFkdj08ZHU9Oq4snp9XFwxPGx6/GTI6Hxk6KB+qmxYP1U+PB+qlxX/WsuLdqdvyoYm7cOXJe3DlyXtw+bGHcVrYovl22OG4dcmHcVrYobitblJCKa4pXxc2DlsW/DV4Sf1zdP+KyjvHR33XMIQD699Mri+NLRbnTgzxAkmgwMF3Ze33OR0vkkJQZ0fP2FK+KbT0bgLnA6O5j5fo0kKusldqg9xO4XVG4Lq4qmxffrJ0Ru8vnxRWFuVkq78ul+ZuS/awZNJgFZCma00EIKj0L44HVgwOBjZyaB0M6fbabIJLExwGHzvEetYdAg4SLwZ/lVmbMBZZIiBQAKBsBT2a19G4CUVUh1G+v6HjwZoWKWW6W3B0csK0+FYOy1hgSLDk4EDiRjLmF4LaejXNhP24XExJGyiYt+8d2CUwzm8z7PePGTKFACAE1QawHWo4RM6vc5Yl2T12QLurvSkQ4WHVgp2tkO54c8IqJV2NITgSO0mTi+iCiJNmomuPAlWNGn0Jw4oCWMqfO8YOG8o9O9JjcUTuu7r86J7GiNmg8HcRJZg76qOcaAwF76a7snNl2Ejz+WA2l72cM8CQKSaZn86lbDgZlC17hZuWOZJ1ZZY0/ZcN3kWiRDHB+PkE+CYieSz9HcExi48kI6qjrkuQlH0298DHnu1yHPOGg+Odjmpb42tazcac32iR1gGRQbdY5+S5Wm2QbGgPZhK6nvYmEqroi2WZrAFp2ZASgFQ8RgAdHfibeGndOvDG+e7w2Pj8Oji+IF8f2i33ji2PvhNJ4amx5PF5fFb8dXftnIwCPzqvIAf3H+907s/a/DAH4YsH6uGdmTbxtFY23Lz4n7plZE1/Iz11ImhGAjABkBCAjABkByAhARgAyAvDf8cgIQCseIgCPDWkTUfnJvw/qT40Dy0pzfgdXFcfR8R3i/fp28e6YM+LouA5xZPyZcXjCWfHW+K7x5qTu8frkHvHqpF7x8qTecWByv3h+2tD44AudcjP/f9eh4WeVgHe3nR0/qjg/7h41J+4cOS/uHjUnbh+2MG4ftjBuHXJhfLtscTJtSb/rS5bHNcWrEjC/u9+a+PqAlbGneFVs77Uxrhu4IifYMwDSAfiCOgVzfSNAvz3Fq+KLBevj9ysGfGxF49lVDRUNOUICfYIXOToFCwZZBWAGOoIDd6AKRAIXTgIcMDHoyFGyZCznnUZi6Ni/kL8x/q1yTnyzdkb845B5cdm5G3J28BAAoFMlKWDAUP+5qJaAh2OhvlAGIhAEMQyaDPYMQiRYCmQkW05SFEwVdDm+aoPeT5BIMOpAXH3Ql2LVbwZ/n6LigF0yUpnez+l9Alx6BgEM+0GwokCsdmisBFIIjHaDVHP6BfvCgK/zDia35m3OmTuvd/h0DgInjbnAgoPAzd225EwpoY1xLARCCTqYaOC0Qtqy/p9ElKRWfdcYUl9lw3qfrifIdEKdBhDTprMQ+EpenE5Ce6cPWdOlcS0SyUIakCTYJ8iV3vJr4PRNGjfZGoGvbEbjpDaIZNKP6Rkaf9qg+sipUCRu0gVO7dE52Y7uoZ6pbVycrP47QVG/Ob2QuuMkimRV/oFgVu/d3mtjsskA1wNpRzr5KPl5+n+dJ2GR3Gnb0mH9jURO7XPd0HUk9iT8jL8eU/55xNy4oXpm7C6fF18saNxog9c5cfKkB3VMMme8dLIuX8rpgZ7IyAhAy46MALTi0VwCcKSmfTwxtT6emlUVT82qiufnD4/n5o6MD2pP/VT36/fO7LOaZvv/6oyGv1e3iag7IWLMCRHjT4yYdGK8P75dHB3XId4Z1ynemdgp3p7UJQ5N7hr7LxgULywYFs/PHx7PzBkVz55fEXtnDYkXZwyM56cOjeemDYunp1XEU9Mq48mptfHopLHx8ITx8eiksfHL0VOS36/GTI6f1syMn9XOSH73Vc9Kqhp3DJ8fdwyfn5CO6wauiOtLlsf1JcvjxtKL4oaS5fHI3E9X0bhnZm0OYFXQocNj4NLCPHfMnAtOJyegtRsLhR3o630O9j1z5cGaQYIOU1ngNV22xLqum+KOaXVx6OKmVZC7ptfFZefmLg5l1obB3cEOr1WQUDCUE07L1lzdf3WSBd5RuCHZjeXS/MZ1FsyGKTg5GWM/CcoE9Dgf3IOQ+ktAwQybZ7oEaDxL6SREsiHwVX+Y/dxZtD7ZaYuBksDPx5vBU2CHOkawQblQPtJbEgySUo2ddJpAm2NIoCEdTAOoBMmSFQE1AZyPTxpw0HsICkjiONbqC8m6wAJ3hKLMmOUWKd5TvCrnXeoXq2zUVe6MxWSC+uEfOBORZjWFspPekVDqfgdG1BONL2Un+/Bxof+Qfe4o3JAjI9q1fENaRl0y4nNFCtQuAVz6EOoZ7ZsydOAogkHy622ifeoevVs6KB+kPriMnBxcdu6GuK7i/Li1bnr884i5CfB1O/Csvv4uQC0g67JRVZwgV7JyMij9oJ5rDNxnUg9d3pSNfIDe78mfLxasj7um18XbFlMOX3JO/Py86kQeahvXKJK4UId3FDZucStiKBnIHlnd/8eitfGV3itjV59l8bW+i+PG4rlx68BZcdvAafEfJRPj8l6TMgLQgiMjAK14iAD8R3H3eLosL14Y1iVeH3lmHBp5erw36uQmwH1veV7sLFqfZNqvG7gidvdbE0dHndYsAnBgQkFTcPzZ05v1jKhsEwfmlcSBZaWxb1FZvLh4aOy/cHC8Pfns417/UdUJ8afqk+LD2pPjg7pT4/3RbePI5M/ES8tLYv/SQbH/wsGx/8LBcWBZabw1o1scmt413pjaI16bem68Oq0gXplRFC/N6BMHZvaLF2cOjH2zSmPvrCHx7PTy+OBvPtMk8++/j/6uY7z/PzrHg/VTcgjIfdWz4ieV58WPK86P+6pnxX3Vs3JIxw9GzE9kfuuQC+P6kuVx3cAVyfSqW4dcGNcOWBk3lS5LwP/uY5mfK3uvj2sHrEzOaeE2SQcDJMmGgCMDBqdQ8Iujl+ZviisK18VTK4s/tgryu+UD4osFjbs7sBKjoMoMucgJz8nR6/8FFK7svT5Z/MpsjYiUZ7gY2BXcOeWI7fLAzGkwChRcPCpgTaDgZWS1R0HvisJ18W+Vc+KG6pnxr6PmxJW91ybvocxZ+ZEsOLViW88G4kNwxkwmwaL/17PnDu48C6px8DI7wR8JpYCDEybpGgGvT2kTYKEu8P1OWHQtZcDyvQM3ykDAN626IaIpwCryItDqYMOzs+qfxpVEiKBc/ZVc+DwnRw7U9NO9Xh0hiZBeKhNLAiDdZbu+WLA+/nHIvLi1bnrsLm/ctY3PJ8kk6fEKBNuqd/NLx8zA8nnbe22Mi3tsjN3l82JH2Yy4qmxefDavcYzXdNkSV/dfnbPRARMHJDEkG7JXn2YiuUpPNX5qF4k1fSXHRP1zciRSzIr0jsIN8dm8TXH3jNomU0oPXXxO3Dm9LplSqoSQ3uXbzXpWnmSByRgCdiaPeL/Oy6fqXdymWz9Wzd1fpBFwtl/P/Wr/VfH0J8SUZ1cVx5f7NPjKrxcvjW/0nR839Ds//rXfrPj3AVPjh6Xj44elY+LHg2rj3kGV8fCwsvjtsEHx66Gl8dthg+KGkuVxy+AlceuQC+PmQcviuoEr4rnygjg6ql28N+rU+HDUiZ+IRe4py8sIQAuOjAC04iECsKjz4pwgqN9f522K/9FjbezuszSu7bswruu/oAkwuDR/U/zHgKq4v7QsHhg0KB4a3D+eHFoYzw3rGfvKu8bB4WfFGyM6xJGKtvFeRQOpeGBUWVOAvKn5BOC2wfMSgPy98gVxx/D58ceRvZv1jMM1Z8bjU0bH72fUJguhn5kzKj6oPqV57bnotKZ9+vwZDVWMiSdGTDkpYvpJETNPjncnt48jkz8T70w5Kw5P6xxvTz87Ds3oGm9Oz4v9CwfFi4uHNhCapQ0Vjv3nl8TL5/ePl+YOiL2zhsS+uYPjj3OGxbNzRsSzc0bGc3NHxtOzK5MF3E9MrY8nptbHk9Pq4pGJ4+I34ycmv0cmjouHxk6KX42ZHA/UTUt+P6udET+pPC/uGD4/flQxN35UMTfuGD4/qYBo2tW3hi6O75UviG8OXhrfGro4biy9KG4svShuKl0WD88d9amqIL+cU5UE55tKl8VNpQ1Od2fR+rhu4IoE9Hylz7okGCoo7Oq3Jql+CIgp46N1G9t7bUyuZXmeIJVA07O+Clqc/y9AqHaJJHhA4/20JQIOBtqdRevjsnM3pAb6w5ecEz+d3bB2JC2LKZBB8CdQx2kRAr0EtMzgEgCySkCAqPdfO2BlDgBlplnjIFAlgM+MNteCMAvN9zuQcPBAIqbnNYKZtfFvlXPiu2OmxXUV58cX8huBs4MiHzcH6pzOwgyx5umTkJLAktSwksDqg2TE6UICZvTFXHPAaRW+pkXE1TPDIqJe/SIhFInmOa2xkH1s77UxPpu3Kb43tb5Jde/wJefEA+dVxWXnNn4o0mWucyTNkg8rIGlrQ3wNzBfyN8Y9M2uatOPQxV3j1kn1SUaYQJy66lU4XptGJGU7vuUoib1sXnavCqv6K8JA/VB/NY5q365+a+JLRevi0YsGfiLw/Wr/hqmue4pX5eghv62j5I90Q1Ne5ceu7r860WdWpER2fN3dlb3X5ySarilelfy+PmBFXDfgorim/0Vx25B5cUPxgvj3kjlxe+nM+P6gaXH30AnxndLz4vqS5Ynv/9bQxfGD8jnx1MiB8VxFv/hjRe94oaIgXqrsGe+M69gQN6ecFDHpxIZ4OuaEiPoTGpKGx2Syb2lp/Gb8xNhX369ZcfvD6pNj7wXlsW9RWfJ7fv7wODq6fbOe88uajhkBaMGREYBWPD6JADDTyGkjTgAY5D2w6V4tGvvHorWxs2hNHL7knFzHtq19xNp2EavaRixvG7H0tPho0anx/tx28XhZcTw+tG/sHZ4f+0fkxcsjzonXRnaKfx+8qAkB2FfRq1mGe6j2rFQC8KeqT2b9Ob+Vbf8spObAgtImBODtCR9T1ahsE3+qOjE+rDopPqg+Jd6rbhtv1HdNJQCv1PaM1+ry4uWa/DhQUxD7qvvE3up+8Xx1cTxTXRq/qxwaj4wYGY9UVMRvKqriJ8OnNSEA3xm6IH5UPiu+PXh+3DZ0fvxr6dK4sXRZ3DxoSRz5my6fqgryziXnxNeKV2YEoGBDXNl77SeuHXly+cD4cp+1GQH4GALw2bxNcf+smpQthbsmU88yAtByAvDFgvXx2CcA0t8tHxAXnZ077evPTQC+kL8xnvwEe/n9ioYq439lAnDfzJpPlUx54LzqHALwvwrXxZcKV8dX+14U/7v3sriqaEncVDw/vtZveRMC8I1+C+PW/uPjnsG1cVdJTdxVUhk/GzwiHhw8LH41ZEj8ekhp/HZocTxR1jd+X1YUT5b1SSUAz5QXxtGK0+KDUSfFR6M+Ocb9blj/JgTgzvLZzY6VsfH0ZNzf29Y5fjNhfOwdPaBZz/hT1YmpBOCdMWc26zm/qm6fEYAWHBkBaMVDBGBl10U5pUgFFAEf7p7Bxad07B6kfUGdAqQC8B3T6j71nHkFML2fc+cvzd+UfJ9gR+GG+L+LVsXX+l4Y1/RZEF8umB+3lUyP75dOjh+Ujo8flIyJ7w2ojweGjIz7SkfELwaVxX2Da+K6gSuS7yDsKV4VN5Uui1dGdI5DFR3iyKctA65OIQDr2zXbqT07e0Q8M2dUsrZh7wXlcXjCWc16xrvj2ieLtF9a3jBNav/SQc0mNW/OzkumRr2wYFi8sGBYvDyzbyoJ+ajqhIjaNg2ZmTEnRIw7MWJCwxqO+NsOTWTz6rT8eK2ue7xS2zMO1uXHK6Pz40BdURwYXRjPVxfHvvr+sbe+OJ6rLY2naobGo9VV8ZPK8+InlefFfdWz4rayRfG98gXx0+ET4qcjJsZ9IybHj8unxx1l58Wd5bPj+2Vz43tl8+P75fPjxmOB5vqS5fHtssXJ7/qS5fHNwUvjlsFL4pbBS+LaAQ2k5LqBK+LG0ouSgL7n2Dcwrjk2fUo/AUfq5JW9G0vj0v2vYwoWg/yufmviwfOqPnWg9+82cGqIA2oRJbVJNuKLLjXNg/0iaOQaAvaLUwjkC9Qu2bgyhlyEuLOooS3MKKoP+pCbwDXfr3OaNsOM8GXnbohnVn38NIGnVg6IL+TnTmXhVAURAP8g1PGuJdgmqeCaA04jIqGlH+Q0FU13IQgmwRJIFZn1KRuSEYG9ADZ1lDrj4FzPdGLSHH9NoM9FlnyuZME1AJKR28/V/VcnpP/TAuP7Z9UkY0BgTsLPvssmpFv6hgwJ0u5+q+Oy/PVxZdHq+HLRyvin3hfFjQMWxjf6L4xr+y6IWwfOiW+VzI5/6TcnvlMyI0fXNMbX95kRPxxYF3eVVMf9gyriwSHl8eCQYfGLQWXxu/IB8Yfy/vHEsH7xwazT4qPZJzckw7x/f9shYtyJ8dGYE+KjuhPivVGnHAPfJxzXlz80siZuK2tImP2k8rz4wYj58duRw5sVDz6sPCl+M35iPDppbDw6aWw8PmV0PD5ldLxd27z49Pa4zrH3gvJ4fv7weH7+8HhhwbDYt2BI8wnA+na5MWVN33h9Vn7qtR9VnhB/qj4xPqw5Nv23vm28N6ZdvDvujDiwtCSZQvzi4qGxb1FZvDqrIN6Y0iNenXJuHJxSGC9N6RsHpvWP/dMHxN6pg+OP04fEU5NHxuMTauK3E+vjW1UjMwLQgiMjAK14iABsyVuQk0FUptSzinKYnCvtVQMFOwUBZkwVIFXGfXz5x2eUnl5ZnMxz5I4hvvOMMijMjCqYpu3uIAe/+9hCLAUnAiMFAGaw/lfhuthZuCq+2mdZ/EvxgrhpwNy4deDsuL10ahz+3NlNs99bz4hYfGrEglMj5p8SH51/Snww87R4elhBvDC8R7xQ3j0ODO8Sr43oFIcq2seRinZxY8myuOFYduTWIRfGNwcvjb0jejXLMb5e3TVZ3Pyb8ROTKT8fVR4/QKT9Xp1eEM/NHZmTIXl1VlHzHfX/1ZQAvDftjGY94+i4Dg1kBL8Dy0rjT1Wfrk8fVZ4Qf6o6MQ5OK8xZNP78/OGxf/qAeLf29Dha2z6O1rWPd2rPjHfqzozDdZ3i7fqz4u3RZ8WbdV3izfpz4o36bvF6ffd4ZPzYeGzymHhk4rh4ZOK4eHjC+Hh2zOB4sa5P7K3pH/vq+8bztQPjudqSeK62NJ6tGxRP1QyNp2uHxlO1ZfFE9Yh4pKYm3tvWuanefP6Mht9fnRGx9Yz4aOsZ8e5nO8W9I6fGvSOnx/2jpsZ9o6bFd4fOi+8eIzkiNVqoTmJzy+Al8fUBK+OWwUvi+pLlce2AlXHtgJVx86Blyblvly2Obw5eGt8cvDRuKl0W1xwjwjcPaviJ/NxYelFO9m93vzVx3cAVsQtTAa4buCKp5PA6EanrBq5I2qB3ieDzA4S7j5EYJwWXF2xIgPO1A1bGT2d/+mzpNfh4oZ6rf+udIihc20EyqPNs65W91yc7jbGSoaSIQK2e4QBc4JREjNMx5DtFoJyUOVlTMkMAm4srtSsayZn6fHX/1Yks1K+vFa+Mdz51da9LfLn3qtjTb1l8rd+S+PageXF98aL4Wp/FcdOA+fG9wbPi+4Nnxr/0nxf/XjI7vlMyM+4YPDVuKFmerHO6ZfCSuLH0ovj3gTPjh6Xj4p7B9fHD0tFx35CaeG9J+/joorYNUy6XnRax5LSIC09r8LNr2yXtOPI3XeLmQUvi5tIl8fyIwtg7olfsG5kfByp6xEsju8fBiq7xakWXeH1U53hzVKc4NOrMeHtUxzg8qn38amRd/Lji/PjBiPlxb9XsuLdqdjxZWd4sf/WnyhPjgbpp8fCE8fHwhPHx0NhJ8fCE8fFmTZfm+c45pzSV9aUdmu2DXzuvVwJuBXaPB5aP70PbxP6lg+LgquLGdXNLB8XRCc1rz5HxZ8b+CwfnZN1fuKAs3q9rG++NbhdHR7ePI2M6xrsT2kecd3LE3FMi5p/SEEcXnxqx9LSG8b+4fY5cnrtgWDw2oS4era2Nh+tGx0O14+LXo8fHL2qnxi/qpscv6qbHfdWz4u5Rc+LuUXPie+ULksr27cMWxh3D58dtZYvihpLlcUPJ8rh50LLEL17Vd22y8ceuY75sR+GGxM7+Z+H5GQFowZERgFY8RACWdVmUBCxuX8YMPqf6sATKnS10TtMSWFoVIWAF4Qv5G+OHKav73zpWtv9SUW4VQZlTLvoUIfGpScqIeTk+bYqST/nYUbghKfP7dASfKqVrvjO5/lOBkHuPZchY+tYzNAWAC0kvzd8UV/RaGdf0XRjf6Dc/bi4+L24ZMDNu6jc9vj1gctw+YHzcPmBs/GBgXfyktCpu718ZN/adnPRZ5Gt3v9XxXPm5sW94XhwY0TVeHtElDg4/K14fcWa8NbJ9HKloG+9WnJJT6bhz0Ni4pnhV3DrkwmSu/8/L6ppPAP6uKQF4e2ynZj3j8OhOyRQtfbDumTmj4qNmtuX12fmxf+mgJAjuXzoo3pjbvEAYlW3iwNKB8fKKgbH/wsHx8oqG/z86qWOznvHepDPS9aSqmX2aeW6ygH3forLYe0F5vDyjT/ypqoH0aIrYh9UnxwfVp8QHNQ2/92tOjfdrTov3a0+L92raxnPnj4jn5o6MZ8+viOfmNqwteWNiXhytOyOO1nWIo/Ud4kh9hzhS3zEO134m3q7t1ECS6jrF4foGsnRwXEH8YWZ1PDmtLh6bPCaemlUVD08YH6/Vdos36s6J12u7xRt1XY8RqW7xWl33eL2ue7xS0zNeq8+LV2p7xiu1PePp8eXxyMRxSbbx0Ulj4/fjRsar9T3j5dpe8VJtr3iptiAO1ufHh/PbxkcLTo1YmPI7pnuaJvDQuAnxh5qyeKmuIPbX9I4Xa3rHC9V9Yn9NUeyvKYoDtQ2/fdV9Yn9N79hfUxTP1A5JAMSvxkxOvoPyYnVRvFhdFAdqCuPF6qJ4qbYgXq7tFQdqCuJATUHsry6Ml2p6xUs1veJAdUH8trY6fjVmcvxy9JR4sH5qPDR2Uvy2tjpers6PV2p6xsGanvFydc84WN0zDlb3iINVPeLVmrx4taZ7vFrd+Pvl6Clxb9XsnHU8L9T0i7dqzo43q86ON6q6xJtVneOtqs5xqLpTHKrqFG9XfyberjozDledGe9Ud4j9NYXJBx6VKPjV6EnxblW7eLeqbbxXdVq8X3VafFB1SnxQdXJDda+2TURNm4ad2qqO/da1a6K/r87o1Wxg+YeZ1fHMnFHx9OzKeGpWVfxhZnUcHtM8HxHnnZzTjpeXD4i984c127Zfn5OfVE31e+O8ns0Hy4sH5WyZ/fKKgXF0QvN8RMw+ual/+LvmE4BXphcmVeXn5o6M5+cPj5en904SIx9UnRzvV58a79W0jXdr28XR2oZEyNu1neJQbed4q65LvFHXNZ6Y0vBh0EcmjovHJo+JxyaPiT/Ulccf6wbG0zWD4w81ZfG7muHxeHVF/LqyNh6uro1fVo6Ju8unxV3lM+PHI2bFnSPOT8D2bWWL4pbBS+L2YQvj22WL47qBK5JExF2jp36qmKrfD0ZPj51F65NEhAgucQhjPat4PiWO1VRdSxyiaWVKEKzsmn0JuCVHm9ZuwH/ngwSAZWsBfZXDOVeSczM1b5fGwfmMBM8C/tyVQ+D7isJ1cfmgeXFN5ay4qmxeMn/Td9RQKVnZP04hEGhne5kVE2j3+aDK8LOCwG3/fD6tMnecmrA1r+EjYL9b/vFzUx9fPjC+kL8xycg5WaFD0m4vIgOUgzJ2nBPs870F/Fna1nOUmWSFRO9rqI6sjj39VsSVRWuSikgyz77PRfGtgTPi5v4z49re0+NbxZPitgET4p7BtXF0SYf46KLTGjI0ysotPLWJLN66uGvcP2hEPDssP/aP6BYvj+gSLw0/O14d0SleH9lASN6paBdHK06L90edHB+OOjGeLS9MHPu1+t7DwIuaHQj/s7yhFH7nyHnx44qGQPRIxahmP+eRCWOTr2P/Zv6cpXoAACAASURBVPzEeGzymHizrnnZvXfGn5kezJrZlldnFMTeC8pj7wXlCbF5bVZBs5/z0kUD46XlJfHS8pLYt6gsDiwrjaMTm9eeIxM6xkvLS+LgquKkSrN/6aBmE7U3zuvZBIS9PvvcZvfJyedra/vEkQnNm997dELHhOQdXFWc/Le5bXnj/J7JcySjN85vHrCMyjYJmNRYvbS8JI6Mb2afJnZMpgdqquBLFw1svnzXNiUAhxc2M8td2Sb2Lylt8o2Z5o5TzMoFy6+t6RsvLmr+1JJXphcmlU8R4QOTm7e4NCrbxKMTR+dUCH8zfmK8WpsXH1SeEu9XnRrvVbWNo1Wnx5HqM+JwVcc4VNkp3qzsHG/XfSZixskN/VmWsrnEZR0bKh/HMuHPj+kfj44YEb8sr4oHymvjgeF1cV/ZuLhv2IS4d9jEuH3QrLipZHEytfHmQcuS+fdf6bMurhu4Ir4+YGUSV1gFYzVI2W6ubVCVT/GM1TrFbH5UU5hAuEE/XcO1EJ/N29R0reBxKk+HLzknvpC/Mee7Jop5XMfFdVia0sctiDl1WVVAxUyfIcFpamu7LcwIQAuONq3dgP/OhwjAxu4LcjLbAp5aCCaQKoDo+6bTkAVINW1H5/lsAlc5CwFv/RzAC7xqlwndoy3jSFhIQPjxKBq+ExjuP82+cR4nt3FLq45c3GNj3DW96R74h47tga+PgAnU+9aNvl+3MhWct6pyPxcmcgs/n1YgGaZtHchKhuYm04Gqv5KZyJKIGRchbu+1Mb43tf5TZWrumVnbpJLCRZB0wly427hwdv2xecFr4qYB8+Mb/S6I6/vPi2v6zI0b+p0XN/abFd8aMC1uGzglbhswKX5YOi5u6T8h7iwdHXv6LE4qIyJG1/ebHw8OLoufDxoa/zl4UDwydGD8esiAeHRo/3hsaN/4XVnv+F1ZYTxXfm48Myw/nhvWM2fnDI3Rw0NL4o2RHePQyDPi0MjT452KtnG04tRkju6HNkd3b2WPP0t278eDxyYVmluHXBi3DF4SP21BpeZHFefHjyrmxt2j5iRb0740qnkA9dWq7vGrMZPj3qrZyVfDf1E3vdlteaqmLNm1StMonhszqPkA1QjAHxcObTZRe6O2S8685yen1cXvZ9Q2uy37xhcni/OfmFofv59RG3vHlbQAWI6Jx6eMjkcnjU12/Hqj9pzm9anmnAScPjJxXDw+ZXQ8PGF8s4larGlKAPa1ACzfVzUjflQxN35ccX7cWzU7R/f+NOqE+HDUSfFh5UkNVYi6EyJGH1trNPbYeqPxJ0ZckJts+NmEiXH7sIWxf2TP2DciP/44vFf8cURBPDeiKJ4d0SeeHt4vfj+8OJ4sHxj/OaQsHhhcHr8aOixuKJ4XV/dfHV8/Nk3t2gEr4/8puSD+o2Rc/LB0fNwzZGzcPWR83FYyLW4rmRG3l86MG/vPjZsGzIsbiy+I64sXxT/1vih29VudJGO0joHTyjTlTFNKGq9dFW9f/OmB79eKVzbxmZxiRpDr31+R/1IcY/abMV0/bg0qf6zkFaeZKc5wOi7XFXKdiPCC7uf7Pm1M+emsmuSdivlKrPmGCCQZ+o6G3s81PIrNWhOka0kG9JxFnRdnBKAFR0YAWvHICMCflwDo75eduyH+ecTc+EbVzNgzvOEruHTI/6cSgM/mbYo/fMIOHc+sLI4rCtf9mQjA2qQSxMWhXHSpDBUXQzoB4P26l4FImSBWXdIIABcxUnf17QW1+Z/6ro4ri9bErn4r4p1LbG7133VomNv61w3z/+OvzoiPPndGHF3/mfjB4Clx99BJcc/QCXHv0PFx95Dx8f3SyXHzwIVNCMDtg+fEz4bWxG+Gj4yHh4+IR4YPj8dHlsVjI4bFb4cPi8eGl8XvRg6OP1SUxlMVJfFMxcBk+1cSgN9WjIjnK/rG3lG9Y19lYewbVRgHqnrFS1X58XLy6xmvVOfFK1V58Vx1SVMCUDstXqvqGq9XnROvVZ3TMEWl+ux4s7pzvF7ZJd6q7hxvVZ8Vb1Wd1TBlpbpTPFFb0YQAPD1mWByuPjMOV3eMw9Ud453qjvFu3ekNC831m2g/IwDPzhser9Tnx9GaM5Lfker28S7+/0h1+5z/P1h3bioBOFLTPuXXId6p7hDvVHeMd2o6xJGaDnGktkO8U9sx/jhxUBMC8Oz4sni75jNxuPYzcbiu4fd2bad4u/asOFR7Vhyq069zvFV3drxVd3YqAdg3un+8Vtu94VfX8Hu1Li9eresRr9Y3/A7W5cfBunPj5bpe8Xx9aSoBeLG+T7xY3yf21feLffX948XRfeOF0f3iw6VnxEcr2jbsdraqbcOmB2vaRVzSPsfG39t2djw8pj6erB0ZT9RWxGM1lfFYbWU8VlsVj9bWxK+r6+Oh6jHxUPXYeLByQtxfMSUeqJoY91XNbEIAflwxJ5mL36CX58W721LWWqUA43e3nR3fLb8gbh+2MPlWita83DrkwsROvjl4adw8aFliu9cOWJn4FRKA6wauSM4re351/9XHtr5sAODKnMv+uY6jOQRgd781cdf0T7foWpsD/J9KAD6bt+kTd0n77UUNu6RlBOC/3pERgGYe7777blxyySXRvXv3aNu2bYwcOTLuvPPOFj0rbQqQEwEaL42ERs8pQNz5Q9NKZJhe4hPY5JaEmtMvh0RS4B+8Eej19moak4yYn4zXeZIQ9VH/T3DrJUOBd10rhyEg6Yv/nMRwChQdDe+TLDj9h7t9eAlVRMfJAncu4c41kgWJDAE+iY2+MkoHyqlQnDa2psuWuOzcDXHPzNom6zoOXdw1bplYHxed3bh1I2WrMfQpZizFsj8kYrp2V781iRwUXEj+dM0u7Mijj0KJeEin+T71N21BqpebJUsGMo477ezygg1x/6xPt4D17hm1ybhyBx4FW061004/u6ycv6NwQ87CVW7ty20tOWWOpIuLZvk1U320h++iDLk9qMtWuiUd1fQ+LUBNawOnJXyxYH2zpglcUbgu2SFJUxp2HWuzdoHSTwRSwFDg8LqBKxJCSMCnBYKaqrb7GADkHuy7YYd8hogsx0jAkb6DY6Dtla/uvzp1H3juPPSVPuuSdukavuua4lUJKNUURK5R+vns6k+lpz+fXZ3zXE4f3FO8Kmm/5MuEhdqt/tIPyDabs+CbPvXygoYFm/4FdPeVag+nvUqH5V+5Bk3JAO4YpRhIX6y/p00/pX5L568oXBfPfcLOVr9b3rCzFZM33P9f7WZMUfuYPGKCTv6MG2fQjymOa53g7A65sczn1JOQCCdo6qn7G+5ixTWFDd99aBpT3r74nLh3Zm18qWhd0o8re69P2qX+epwhgaFNcXosY6AwC9cJ6Hr1N1sD0LIjIwDNPBYsWBAnn3xy/PVf/3Xs2bMnKisr4+STT47777+/2c/iNqAO5JgpFoDmHHL+CEpk3FzYSpBCgyOQ5GfVBdC1/zKdFcGwDJOZaoFbBg7uzax+0akp205QkubMRBS4XkLzHn29gDIblCMdEAEX50XyHjlJfZVSaxNEYpgZ98oGqxv8oiWrBQTPeoYTC8mZhIeO0eWov/Hz9TdUzIl1XXNJomREMKv3cctD7wdlwAyOiIrGlpUFjpnOS6edJLISRBIifeRzWR3hWHoQ0/1c96FnfLFgfTy18pP3Nb+icF2Tqhr3UxfI0lhz/irHhQSUFRzatf7mW5teXrAhAeYksQK2khfPkxRLV7klpQCpZxVpD26Xnu38+XmfDpxqAf7lBRvimuJVTUgvbVXndb1n/DwzSsLPaz2JIPlIV3ztFX2pbMrHh3rGsXTQxYqr/Dq/F0AwKh+ottH3XZq/KS7usTGe/IRd2352Yf+G9Vxol8bckzR6N23Js8qUtfzDFYXrPrHK+MiygcnH85hhdlBPG/DssP4ueYrkskIqW6QPZzWVWW7JgFVexiL5RW3FurNoffxT3zXxw+l1cejirpZMOSdJpjAhpOdSf+nf9C4CX/VV8VdykLxdXrqHvpQ2SkJD/ymZ8dsJ1Ed+UZuxhRjhS0XrYnf5vLipZkbsGT4vvlTUSHbUb690q3/uBz15RB9Am1BfRYbYX/YrqwC07MgIQDOOBx98MNq0aRM7d+5Mzh09ejR69+4dlZWVzX6eCMDnezROAVI5jIGJC4MZJD0jz2y0M285NU7lUDnNHZgADI2ZmQrPEOtdBJNqF52XnJKqDCIVKvHpWlUuuAjZwRydnAMzgnQ6xD3Hsmy6jwDegatkoEDjztTLqgzqdIA+BszI0HEr+LGEKpk4KUjTBTpgPpN/V3BREL26/+rk7wQpDA6ue3TQfC9JHQGiQHsaQSK4V9DTNf4+kQMCvrRsFwEc9dwBBf99ReG6+O6U+njLAv1bF3eN706pTz5i5QTYyRgBja7hWBKwyAY05pQjwRKJDckjQRvBgp4je6f+qxqjhfrSYd0r0svso5MtXitwc9m5Gz5xS2EuwGfgVxu4eYD+ruyp6wJBOEEjwbr+XzImsWH2kNfqGfwIl65x4uY/ZT45NiQGl+ZvyqkCioT5mHkiRP5Renq86t4Pp9clWzbLdyoRQ7BLffBECPtI+xJA1fVX9l57DBg3zQh/Z3J9zkfA9CwlFSjzNCIlP0KSrnHkc0jAVRXQeVbm2AbqAd+5vdfGnOey/1vzGtaW7S6fF9+qnx57hjdskkG7VLuV7JKdqM2Mn9t7bUyy4/IBaQkh+gCeky569dPBN3Wcf6MsqXvSM/WFsZy+gD6MmXvpF2O+7EL3MUa7n6Q96rk17VbnkAL6BuEkPS+rALTsyAhAM46LL744TjrppHjrrbdyzv/DP/xDtGnTJvbu3dus53ENgAN9GqEMVk6LzF0gmsB1Z9H6nJ10dJ2DBwFMGqScHzO0zI4RxBFEcQoPgUXa1BUGUbaTTsfJgwNgyYBEhc8SeJWzYKlUbXGn5rKVLD3bkkY4CNgYfBW81Tc5RAYJtTVN5mlBm1le/k2yorP1cUoDlQJb+n+CSc+0sK+uY8xcOgnhfXLyeoZnrKRLDJIEMwoCrEZQV/RvBi+CQbaFbbu4x8b411Fz4qsVs+KfR8yNLxasz+m/kzEFOMpL452WjdM9JFAErpQ/s4DUeeoU3+MVKbWXHz+TzDieBIYEQXo/n0uiTzv5Sp91cdm5G+I/ptU1+RKwQOG6rk1L+Qz+ahvfR+BDHde4MYkge/GKpdu3qiIaD06VkU1Sjq7jDiY5bSQt6cLvtbjfZF+lVw7CSKj1ji/kb4w9w+fFVytmxb+OmhMX92jMijIp4n7Z7VN+Nm2KiVcG/Le5W8PUkKvK5sVVIxp2j/tsXiMYdeDLTDN3i3OQqzFxv8sKltsPt75mTKP+ytcSdFKnqTuSpZ+TzlEOBOTUaz2D+pgW05SgcP+o3+wOm1KTCNt6bs7RvbRkDM9RP/VuPVekU77YcQd1l2BdP1aS04ij6776r3HV2LgfY1/dBjl96tL8TbG15wUZAWjBkRGAZhzjx4+PAQMGNDl/1113RZs2beL2229v1vMyApARgIwA/P+HAKjvHqwzAvDJBEDP+qe+a+KWqvPiO/XT4oaKOXFF4bomNpURgP9vBIDPpg3/pQmAxoHgNCMAGQHICMB/nSMjAM04SkpKYuzYsU3OP/7449GmTZu4+uqrj3vvyy+/HI899ljO7zvf+U60adMmFnVenBPQN3fbkvMhMJWW3VkqSBJEyWDoUAlWGGQZkP1aOToGQ82Fp7HrXhovn+nBXO0jSGZQ13MVCPkMPofykLPiFB5d64CYoJjnuRjV28t/cyy42IltobOlMyWwJQEjQGXf5BgZ9DXOmtbC/vqPsmHA1fO4tkHvlkOmjmk8KRve43pD0MRgywDA5zuYVXAg4OIUAgdaDrB8mgkBs+uPpsU4MXUyKzmwv+wH9VFySVtzkDbGae8lYCdoZ5sYoN3mSQQEFHQ9SbnGQDITKKD+OpCjrTNhwQDNsZSd6B7pIseXfZZc1C/aMPWJY+rgy8G2X+vAnu/0XamO58Nojw5w6N+o65ITp7nQX1EnSBgJlpwIcCqUdINEjnrK9koevnsbEw2uAw4w3UfzGWwf5UNboSylf2kkb3O3xukoDhqdmEuuaWPmPkhxzQkpE14i0px/736dC3uXnLUlAfWyGcUnERaOg3wQx/R4hCBN57f3aphWRN9C+6N/U3vom+hz3Z9rbBmn/Hlqt2yHvkV/c72SPyDBS/OnJGkuT+KIGR2zNQAtOTIC0IyjqKgopkyZ0uT8M888E23atIkvf/nLx733sssuizZt2qT+JnScFnM7LY65nRbHos4NvxkdG/9/ZddFsbbbwljZdVFs7L4gZnRs+PuyLovi8z0WxNxOi2Ntt4XJNcu6LIpFnRv+viVvQWzJW5Dzd51b2XVR8o5lXRYl1+idizovbnJO/17bbWHSlmVdGtq1rMui5J3qz8buC2Jj94Z38X61gX3U/cu6LEr6r/v0d8lI183ttDjp75a8BTnPSGuDnrusS+Nzt+Q1/H1tt4U5smWb9f+Sia6XbPR+vk/tYntndGz4u+SvaykPndvYveHfW3tekPMunaf81nZbmMjC2z230+Kcd1HHdO3cTovj8z0aZUQ56lmSjdrEv2lMKSvJS+3SeMzt1Nh26pNk4DLRteybnqsx5zNc99XGrT0vaCID6djneyyIz/dYkDNWbJv0hDLTc/1d0jXaAa/zPuhv/FFutCu/bmXXRbG15wVNxkzt/nyPBTltO97Yug/Q/9MuNV5jT1/Y5H72SbopWUkGeoZ0iGPh/k/jr3fQjtx3yRZlX+zD2NNzbXRup0b7ZrvpWyQvtV96wTFXP2iXeubneyyIrT0viK09L0jeSTnqGvpM9UuyoTzo53xc3Cer39RtPdP1mXZI+Ur2agN9PMdM/aBOyQ9RXvTlaWPtvl/ylNxkS5JD2WnnR9lp5zfxb+wf+06b5fjqXrWP/oZjKnnKPy7qvDjGnt5gB7yX12ps/9/27j1Eqvpv4PgXndpbZGuXXTGtVLotZQkmWlJslvmzottiT9o/3UNEHn67IUQXMIXovhm1WURXif7QgsgyCDWjCxKY3cRYUqPMSruxa6z7ef7aeXYbN1LSbef7esGB5nRmPeNnnDPv2Zkz/z12VvHP/u+xs+J/R/Z9vOp9P+793z0/s/exs/fjXc99q2cfe67f+77b+++n97+VntvRex/+fN/oeRxrGTWrz2N3z33uz/eP3vf/3seXnn+bC0Y3xYLRTX1m+ee5N1b/T5/7WM8c9vYc58/PJy6t/U+klGL9+vUH8ilg2REA++Cf/g1Aa2trv1FgsVgsFovFYvl7y4oVKw7kU8CyIwD2wT/9GYCdO3cWI2DFihUlgWApn6Xn7V7mXN6LOeexmHMeizkPjmX9+vWxYsWK2Llz5z/1dC8LAmAfNDc37/UsQIsWLYqU9v0sQBH//0HgjRu9d62cmXMezDkP5pwHc6acCYB98P7770dKfb8HoLOzM8aNGxeTJk3ar5/pASYP5pwHc86DOefBnClnAmAfNTU1RaFQiJaWlmhra4spU6ZEoVCI1atX79fP8wCTB3POgznnwZzzYM6UMwGwjzo6OqK5uTnq6+ujoqIiJk6cGCtXrtzvn+cBJg/mnAdzzoM558GcKWcCYIBt37497rrrrti+fftA7woHkDnnwZzzYM55MGfKmQAAAICMCAAAAMiIAAAAgIwIAAAAyIgAAACAjAgAAADIiAAYAJ2dnXHbbbfFiBEjorKyMs4666x46623Bnq3+Jt+/fXXuPPOO2P69OlRW1sbKaV45pln9rrtZ599FtOnT4+ampqora2NOXPmxPfff1+y3Z49e+Lee++N448/PioqKuK0006Ll1566QDfEvrz4Ycfxty5c+PUU0+N6urqGDVqVDQ1NcWXX35Zsq0ZD24bN26Mq666Kk444YSoqqqKI488MqZOnRqvvfZaybZmXT7uueeeSClFQ0NDyf9bt25dnH322VFVVRV1dXUxb968+PXXX0u2cyxnMBMAA+Dqq6+OQqEQzc3N0dbWFpMnT45CoRBr164d6F3jb2hvb4+UUowePTrOO++8fgNg69atcdRRR8XYsWPjkUceiUWLFkVtbW2MHz8+du/e3WfbBQsWREopbrzxxnjyySdj5syZkVKKZcuWHaRbRW9XXnll1NfXx7x582Lp0qWxcOHCqKuri5qamvjkk0+K25nx4Pf666/H9OnT4+67744nn3wyHn744Zg6dWqklKKtra24nVmXj61bt0Z1dXXU1NSUBMDHH38clZWVceaZZ8bjjz8et99+e1RUVMRFF11U8nMcyxnMBMBB9sEHH0RKKe67777iuo6Ojhg7dmxMnjx5APeMv6uzszO+/fbbiIj46KOP+g2AW2+9NaqqquLrr78urlu1alXJE4tt27bFIYccEnPnzi2u6+7ujqlTp8axxx4bXV1dB+7GsFfr1q0reVK3adOmqKioiNmzZxfXmXF56urqivHjx8dJJ51UXGfW5WPWrFnR2NgY5557bkkAzJgxI0aMGBE///xzcd3SpUsjpRRvvvlmcZ1jOYOdADjIWlpaYujQoX0eXCIiFi9eHCml2LJlywDtGfvjrwLgmGOOiaamppL1J554Ypx//vnFy4899liklOLTTz/ts91LL70UKSWvJv2LTJgwISZMmFC8bMbl6+KLL466urriZbMuD6tXr46hQ4fGhg0bSgLg559/jkKhEC0tLX2us3v37jjssMPi+uuvL65zLGewEwAH2bRp0+KUU04pWf/2229HSmmv7zvl36u/ANi2bVuklOLee+8tuc6cOXNi+PDhxcs33HBD1NTURHd3d5/tNm/eHCmlaG1tPSD7zr7p7u6OkSNHxoUXXhgRZlxufvvtt9ixY0ds3rw5HnzwwRg6dGhcc801EWHW5aKrqytOP/30uPnmmyMiSgLg3XffjZRSvPzyyyXXPeecc/rEv2M5g50AOMgaGhqisbGxZP2nn34aKaV44oknBmCv2F/9BUDP+ueee67kOi0tLZFSis7OzoiImDlzZowZM6Zku99//z1SSrFgwYIDsu/sm+effz5SSvH0009HhBmXm5tvvjlSSpFSiiFDhsRVV10VP/30U0SYdblYsmRJDBs2rPjB7T8HwCuvvBIppVizZk3JdZuamqK+vr542bGcwU4AHGRjxoyJGTNmlKz/6quvIqUUDz300ADsFfurvwBYs2ZNv68k3XHHHZFSip07d0ZERGNj415fSdqzZ0+klGL+/PkHZN/5+z7//PM4/PDDY/LkycX3cJtxefn8889j1apV8eyzz8bMmTPj8ssvj++++y4izLoc/PDDDzF8+PC4//77i+v+HADPPfdcpJTigw8+KLn+tddeG8OGDStedixnsBMAB5lXDcqL3wCUv2+//TbGjBkTo0aNim+++aa43ozL2wUXXBATJ06M7u5usy4Dt9xyS4wbN67Ph/v9BoCcCYCDzPsGy8s/9RmA6upq7xn+F9q1a1ecccYZMXz48JIPdZpxeWtra4uUUnzxxRdmPcht2rQphgwZEq2trdHe3l5cJk2aFCeeeGK0t7fHjz/+6DMAZEUAHGTNzc17PXPAokWLnDlgEPqrswAdffTR/Z41pPcrR0uWLNnrWUNefPHFfl+N4sDr6OiIqVOnRnV1dbz33nt73caMy9fDDz/c5+0gZj14vfPOO8XPd/S3zJ8/P3bt2vWXZwG67rrriuscyxnsBMBB9v7775ecO7izszPGjRsXkyZNGsA9Y3/8VQDccsstUVVV1edA0PPq0OOPP15ct3Xr1n7PGz5y5EjnDR8AXV1dcemll0ahUIjXX3+93+3MePDbvn17ybo//vgjJkyYEFVVVcVvgDXrwWvHjh2xfPnykqWhoSFGjx4dy5cvjw0bNkRExEUXXRQjRoyIX375pXj9p556KlJK8cYbbxTXOZYz2AmAAdDU1FR8laGtrS2mTJkShUIhVq9ePdC7xt/06KOPxsKFC+PWW2+NlFJcccUVsXDhwli4cGHs2rUrIiK2bNkSRx55ZIwdOzZaW1tj8eLFUVtbG6eddlrx/cI9et5HfNNNN8XSpUuL3xz64osvDsTNy978+fMjpRSXXHJJPP/88yVLDzMe/C677LJobGyMu+++u/itzyeffHKklOKBBx4obmfW5WdvXwS2fv36qKio6PNNwJWVlcXT//bmWM5gJgAGQEdHRzQ3N0d9fX1UVFTExIkTY+XKlQO9W+yD4447rt9fJbe3txe327hxY1x44YVRXV0dRxxxRMyePbt4ZpHe9uzZE4sXL47jjjsuDj300GhoaIgXXnjhIN4iejv33HP/8u0CvZnx4LZs2bKYNm1a1NXVRaFQiNra2pg2bVq8+uqrJduadXnZWwBERKxduzamTJkSlZWVcfTRR8fcuXP7/Eagh2M5g5kAAACAjAgAAADIiAAAAICMCAAAAMiIAAAAgIwIAAAAyIgAAACAjAgAAADIiAAAAICMCAAAAMiIAAAAgIwIAAAAyIgAAACAjAgAAADIiAAAAICMCAAAAMiIAAAAgIwIAAAAyIgAAACAjAgAAADIiAAAAICMCAAAAMiIAAAAgIwIAAAAyIgAAACAjAgAAADIiAAAAICMCAAAAMiIAAAAgIwIAAAAyIgAAACAjAgAAADIiAAAAICMCAAAAMiIAAAAgIwIAAAAyIgAAACAjAgAAADIiAAAAICMCAAAAMiIAAAAgIwIAAAAyIgAAACAjAgAAADIiAAAAICMCAAAAMiIAAAAgIwIAAAAyIgAAACAjAgAAADIiAAAAICMCAAAAMiIAAAAgIwIAAAAyIgAAACAjAgAAADIiAAAAICMCAAAAMiIAAAAgIwIAAAAyIgAAACAjAgAAADIiAAAAICMCAAAAMiIAAAAgIwIAAAAyIgAAACAjAgAAADIiAAAB/oo2wAAAZBJREFUAICMCAAAAMiIAAAAgIwIAAAAyIgAAACAjAgAAADIiAAAAICMCAAAAMiIAAAAgIwIAAAAyIgAAACAjAgAAADIiAAAAICMCAAAAMiIAAAAgIwIAAAAyIgAAACAjAgAAADIiAAAAICMCAAAAMiIAAAAgIwIAAAAyIgAAACAjAgAAADIiAAAAICMCAAAAMiIAAAAgIwIAAAAyIgAAACAjAgAAADIiAAAAICMCAAAAMiIAAAAgIwIAAAAyIgAAACAjAgAAADIiAAAAICMCAAAAMiIAAAAgIwIAAAAyIgAAACAjAgAAADIiAAAAICMCAAAAMiIAAAAgIwIAAAAyIgAAACAjAgAAADIiAAAAICMCAAAAMiIAAAAgIwIAAAAyIgAAACAjAgAAADIiAAAAICMCAAAAMiIAAAAgIwIAAAAyIgAAACAjAgAAADIiAAAAICMCAAAAMiIAAAAgIwIAAAAyIgAAACAjAgAAADIiAAAAICMCAAAAMiIAAAAgIwIAAAAyIgAAACAjAgAAADIyP8Bkuk75qlzYHAAAAAASUVORK5CYII=\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Append all other images\n",
    "\n",
    "all_images = [i for i in all_files if i.endswith(\".cbf\")]\n",
    "random.shuffle(all_images)\n",
    "optimize_with_new_images(all_images)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "First & last rings\n",
      "Total number of images: 121\n"
     ]
    },
    {
     "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\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\"];\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=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Check the calibration of the first and the last image with rings\n",
    "\n",
    "print(\"First & last rings\")\n",
    "\n",
    "print(\"Total number of images:\", len(gonioref.single_geometries) )\n",
    "\n",
    "fig = plt.figure()\n",
    "for idx,lbl in enumerate([\"del_10.0_0001p\", \"del_65.0_0001p\"]):\n",
    "    sg = gonioref.single_geometries[lbl]\n",
    "    if sg.control_points.get_labels():\n",
    "        sg.geometry_refinement.set_param(gonioref.get_ai(sg.get_position()).param)\n",
    "    jupyter.display(sg=sg, ax=fig.add_subplot(2, 1, idx+1))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Cost function before refinement: 1.3823974688527844e-08\n",
      "[ 0.80589511  0.01627498  0.04325228 -0.00259729 -0.00217415  0.01745329]\n",
      "     fun: 1.1942389076112182e-08\n",
      "     jac: array([-2.87858853e-09, -2.97785021e-09,  5.59885469e-07, -4.53129540e-07,\n",
      "        7.13029688e-09,  1.29701920e-08])\n",
      " message: 'Optimization terminated successfully.'\n",
      "    nfev: 36\n",
      "     nit: 4\n",
      "    njev: 4\n",
      "  status: 0\n",
      " success: True\n",
      "       x: array([ 0.80589541,  0.01621863,  0.04325154, -0.00259669, -0.00221956,\n",
      "        0.01745653])\n",
      "Cost function after refinement: 1.1942389076112182e-08\n",
      "GonioParam(dist=0.805895413979599, poni1=0.01621863227728131, poni2=0.04325154482302155, rot1=-0.0025966913179301526, rot2_offset=-0.002219558024715897, rot2_scale=0.01745652505831091)\n",
      "maxdelta on: poni1 (1) 0.016274983758757213 --> 0.01621863227728131\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "array([ 0.80589541,  0.01621863,  0.04325154, -0.00259669, -0.00221956,\n",
       "        0.01745653])"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Final pass of refinement with all constrains removed, very fine refinement\n",
    "\n",
    "gonioref.bounds = None\n",
    "gonioref.refine2(\"slsqp\", eps=1e-13, maxiter=10000, ftol=1e-12)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "MultiGeometry integrator with 121 geometries on (4, 66) radial range (2th_deg) and (-180, 180) azimuthal range (deg)\n"
     ]
    }
   ],
   "source": [
    "#Create a MultiGeometry integrator from the refined geometry:\n",
    "\n",
    "angles = []\n",
    "images = []\n",
    "for sg in gonioref.single_geometries.values():\n",
    "    angles.append(sg.get_position())\n",
    "    images.append(sg.image)\n",
    "    \n",
    "multigeo = gonioref.get_mg(angles)\n",
    "multigeo.radial_range=(4, 66)\n",
    "print(multigeo)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of bins: 5070\n"
     ]
    }
   ],
   "source": [
    "# Calculate the optimal number of point for integration\n",
    "over = 1\n",
    "npt = int(over * numpy.deg2rad(max(multigeo.radial_range) - min(multigeo.radial_range)) / \n",
    "          numpy.arctan2(pilatus.pixel1, gonioref.nt_param(*gonioref.param).dist))\n",
    "print(\"Number of bins: %s\"%npt)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "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\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\"];\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=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7feb97ecfb70>"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Integrate the whole set of images in a single run:\n",
    "\n",
    "res = multigeo.integrate1d(images, npt)\n",
    "jupyter.plot1d(res)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Save the goniometer configuration with 1 angle\n",
    "\n",
    "gonioref.save(\"ROBL_v1.json\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1.1942389076112182e-08 1.1942389076112182e-08\n",
      "Cost function before refinement: 1.1942389076112182e-08\n",
      "[ 0.80589541  0.01621863  0.04325154 -0.00259669  0.         -0.00221956\n",
      "  0.01745653]\n",
      "     fun: 4.771332375726204e-09\n",
      "     jac: array([ 7.51745395e-08,  3.65634497e-08, -3.23285264e-08,  2.71254135e-08,\n",
      "       -1.14617673e-07,  2.69500796e-08, -2.99239233e-06])\n",
      " message: 'Optimization terminated successfully.'\n",
      "    nfev: 112\n",
      "     nit: 12\n",
      "    njev: 12\n",
      "  status: 0\n",
      " success: True\n",
      "       x: array([ 8.05907458e-01,  1.62095935e-02,  4.16735154e-02, -1.32101442e-03,\n",
      "       -1.35396963e-04, -2.22709995e-03,  1.74566297e-02])\n",
      "Cost function after refinement: 4.771332375726204e-09\n",
      "GonioParam(dist=0.8059074581036026, poni1=0.01620959350506622, poni2=0.041673515394250335, rot1=-0.0013210144198282034, rot1_scale=-0.0001353969630508145, rot2_offset=-0.0022270999476141687, rot2_scale=0.01745662973261901)\n",
      "maxdelta on: poni2 (2) 0.04325154482302155 --> 0.041673515394250335\n"
     ]
    }
   ],
   "source": [
    "#Can the refinement be improved by freeing another degree of freedom ? what about rot1 ?\n",
    "\n",
    "goniotrans2 = GeometryTransformation(param_names = [\"dist\", \"poni1\", \"poni2\", \n",
    "                                                    \"rot1\", \"rot1_scale\",\n",
    "                                                    \"rot2_offset\", \"rot2_scale\"],\n",
    "                                     dist_expr=\"dist\", \n",
    "                                     poni1_expr=\"poni1\",\n",
    "                                     poni2_expr=\"poni2\", \n",
    "                                     rot1_expr=\"rot1_scale * pos + rot1\", \n",
    "                                     rot2_expr=\"rot2_scale * pos + rot2_offset\", \n",
    "                                     rot3_expr=\"0.0\")\n",
    "\n",
    "param2 = (gonioref.nt_param(*gonioref.param))._asdict()\n",
    "param2[\"rot1_scale\"] = 0\n",
    "\n",
    "gonioref2 = GoniometerRefinement(param2, \n",
    "                                 pos_function = get_angle,\n",
    "                                 trans_function=goniotrans2,\n",
    "                                 detector=pilatus,\n",
    "                                 wavelength=wavelength)\n",
    "gonioref2.single_geometries = gonioref.single_geometries.copy()\n",
    "\n",
    "print(gonioref2.chi2(), gonioref.chi2())\n",
    "gonioref2.refine2()\n",
    "gonioref2.save(\"ROBL_v2.json\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "First & last rings\n"
     ]
    },
    {
     "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\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\"];\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>"
      ]
     },
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     "output_type": "display_data"
    },
    {
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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Check the calibration of the first and the last image with rings\n",
    "\n",
    "print(\"First & last rings\")\n",
    "\n",
    "fig = plt.figure()\n",
    "for idx,lbl in enumerate([\"del_10.0_0001p\", \"del_65.0_0001p\"]):\n",
    "    sg = gonioref.single_geometries[lbl]\n",
    "    if sg.control_points.get_labels():\n",
    "        sg.geometry_refinement.set_param(gonioref2.get_ai(sg.get_position()).param)\n",
    "    jupyter.display(sg=sg, ax=fig.add_subplot(2, 1, idx+1))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "MultiGeometry integrator with 121 geometries on (4, 66) radial range (2th_deg) and (-180, 180) azimuthal range (deg)\n"
     ]
    },
    {
     "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\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\"];\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>"
      ]
     },
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     "output_type": "display_data"
    },
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\" width=\"1000\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x7feb978e7d68>"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Create a MultiGeometry integrator from the refined geometry and display the integrated image:\n",
    "\n",
    "multigeo2 = gonioref2.get_mg(angles)\n",
    "multigeo2.radial_range=(4, 66)\n",
    "print(multigeo2)\n",
    "\n",
    "res2 = multigeo2.integrate1d(images, npt)\n",
    "\n",
    "#Display the 2 curves with a zoom\n",
    "fig = figure(figsize=(10,5))\n",
    "ax = fig.add_subplot(1,2,1)\n",
    "ax.plot(*res2, label=\"rot1 & rot2 rotation\")\n",
    "ax.plot(*res, label=\"rot2 only rotation\")\n",
    "ax.set_xlabel(res.unit.label)\n",
    "ax.set_ylabel(\"Intensity\")\n",
    "ax.set_title(\"Azimuthal integration of 121 images merged\")\n",
    "ax.legend()\n",
    "ay = fig.add_subplot(1,2,2)\n",
    "ay.plot(*res2, label=\"rot1 & rot2 rotation\")\n",
    "ay.plot(*res, label=\"rot2 only rotation\")\n",
    "ay.set_xlabel(res.unit.label)\n",
    "ay.set_ylabel(\"Intensity\")\n",
    "ay.set_xlim(10.5,11)\n",
    "ay.set_title(\"Zoom on first peak\")\n",
    "ay.legend()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "With the first model, the refinement was not perfect on the very low angles and indicates a miss-fit. Relaxing the constrains on *rot1* allowed to spot a non (perfect) orthogonality between the goniometer axis and the incident beam. Releasing the distances is also possible, for example to cope with the sample not perfectly mounted on the center of the goniometer. \n",
    "\n",
    "## Evaluation of the peak-profile\n",
    "\n",
    "For every peak, as listed in the calibrant's definition, the peak height can be extracted and the nearest minimum evaluated. The the full width at half maximum can be measured an ploted as function of the scattering angle. \n",
    "The FWHM can be fitted against Caglioti's formula: \n",
    "\n",
    "FWHM² = U tan² $\\theta$ + V tan $\\theta$ + W"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Line profile function...\n",
    "#Peak profile\n",
    "\n",
    "from scipy.interpolate import interp1d\n",
    "from scipy.optimize import bisect\n",
    "\n",
    "def calc_fwhm(integrate_result, calibrant):\n",
    "    \"calculate the tth position and FWHM for each peak\"\n",
    "    delta = integrate_result.intensity[1:] - integrate_result.intensity[:-1]\n",
    "    maxima = numpy.where(numpy.logical_and(delta[:-1]>0, delta[1:]<0))[0]\n",
    "    minima = numpy.where(numpy.logical_and(delta[:-1]<0, delta[1:]>0))[0]\n",
    "    maxima += 1\n",
    "    minima += 1\n",
    "    tth = []\n",
    "    FWHM = []\n",
    "    for tth_rad in calibrant.get_2th():\n",
    "        tth_deg = tth_rad*integrate_result.unit.scale\n",
    "        if (tth_deg<=integrate_result.radial[0]) or (tth_deg>=integrate_result.radial[-1]):\n",
    "            continue\n",
    "        idx_theo = abs(integrate_result.radial-tth_deg).argmin()\n",
    "        id0_max = abs(maxima-idx_theo).argmin()\n",
    "        id0_min = abs(minima-idx_theo).argmin()\n",
    "        I_max = integrate_result.intensity[maxima[id0_max]]\n",
    "        I_min = integrate_result.intensity[minima[id0_min]]\n",
    "        tth_maxi = integrate_result.radial[maxima[id0_max]]\n",
    "        I_thres = (I_max + I_min)/2.0\n",
    "        if minima[id0_min]>maxima[id0_max]:\n",
    "            if id0_min == 0:\n",
    "                min_lo = integrate_result.radial[0]\n",
    "            else:\n",
    "                min_lo = integrate_result.radial[minima[id0_min-1]]\n",
    "            min_hi = integrate_result.radial[minima[id0_min]]\n",
    "        else:\n",
    "            if id0_min == len(minima) -1:\n",
    "                min_hi = integrate_result.radial[-1]\n",
    "            else:\n",
    "                min_hi = integrate_result.radial[minima[id0_min+1]]\n",
    "            min_lo = integrate_result.radial[minima[id0_min]]\n",
    "\n",
    "        f = interp1d(integrate_result.radial, integrate_result.intensity-I_thres)\n",
    "        tth_lo = bisect(f, min_lo, tth_maxi)\n",
    "        tth_hi = bisect(f, tth_maxi, min_hi)\n",
    "        FWHM.append(tth_hi-tth_lo)\n",
    "        tth.append(tth_deg)\n",
    "    return tth, FWHM\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "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\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\"];\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"
    },
    {
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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x7feb978922b0>"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fig, ax = subplots()\n",
    "ax.plot(*calc_fwhm(res, LaB6), \"o\", label=\"rot2\")\n",
    "ax.plot(*calc_fwhm(res2, LaB6), \"o\", label=\"rot1 + 2\")\n",
    "# for lbl, sg in gonioref2d.single_geometries.items():\n",
    "#     ai = gonioref2d.get_ai(sg.get_position())\n",
    "#     img = sg.image * ai.dist * ai.dist / ai.pixel1 / ai.pixel2\n",
    "#     res = ai.integrate1d(img, 5000, unit=\"2th_deg\", method=\"splitpixel\")\n",
    "#     t,w = calc_fwhm(res, calibrant=calibrant)\n",
    "#     ax.plot(t, w,\"-o\", label=lbl)\n",
    "ax.set_title(\"Peak profile as function of the angle\")\n",
    "ax.set_ylabel(\"FWHM of peaks (in degrees)\")\n",
    "ax.set_xlabel(res.unit.label)\n",
    "ax.legend()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[ 1.67274079e-07 -9.64108068e-09  1.62256542e-07]\n",
      "[[ 4.11186896e-14 -3.09345815e-14  4.82007250e-15]\n",
      " [-3.09345815e-14  2.42536154e-14 -4.00440031e-15]\n",
      " [ 4.82007250e-15 -4.00440031e-15  7.34540983e-16]]\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x7febaa18a588>"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Fit against Caglioti's formula:\n",
    "# FWHM^2 = Utan2 + Vtan + W\n",
    "tth_deg, FWHM_deg = calc_fwhm(res2, LaB6)\n",
    "\n",
    "def model_Caglioti(tth_deg, U, V, W):\n",
    "    tantheta = numpy.tan(numpy.deg2rad(tth_deg)/2.0)\n",
    "    FWHM2 = U*tantheta*tantheta + V*tantheta + W\n",
    "    return numpy.rad2deg(sqrt(FWHM2))\n",
    "\n",
    "from scipy.optimize import curve_fit\n",
    "fit,cov = curve_fit(model_Caglioti, tth_deg, FWHM_deg, p0=[1e-6,1e-7,1e-8])\n",
    "print(fit)\n",
    "print(cov)\n",
    "ax.plot(tth_deg, model_Caglioti(tth_deg, *fit), label=\"U:%.1e, V:%.1e, W:%.1e\"%(fit[0], fit[1], fit[2]))\n",
    "ax.legend()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Total execution time: 20.271s\n"
     ]
    }
   ],
   "source": [
    "print(\"Total execution time: %.3fs\"%(time.time() - start_time))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Conclusion\n",
    "\n",
    "This notebook exposes the how to calibrate the goniometer for a small detector moving on a 2theta arm. \n",
    "Once calibrated, the geometry can be saved and restored and stays valid as long as the detector or the goniometer is not unmounted from the beam-line. This configuration can subsequently be used to integrate the data acquired with any  sample, in minutes instead of hours. The resolution limit is now the pixel size. Fortunately, pixel detector with small pixel like the MaxiPix or the Lambda detector exists and offer higher resolution."
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3.7 local venv",
   "language": "python",
   "name": "python3.7"
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  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.2"
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 },
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