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{
 "cells": [
  {
   "cell_type": "markdown",
   "source": [
    "# Create plots for panels used in figure 3"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%% md\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true,
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "import os\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "from scipy.optimize import curve_fit\n",
    "import matplotlib.gridspec as gridspec\n",
    "\n",
    "import warnings\n",
    "warnings.filterwarnings('ignore')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "outputs": [],
   "source": [
    "# folder to save all panels for figure\n",
    "savefolder = r\"plots\\fig3\"\n",
    "\n",
    "# file containing the data for the controls\n",
    "results_ctrl_file = r\"data\\shape_analysis\\histograms_HealthyControl_deformed_undeformed.txt\""
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "outputs": [],
   "source": [
    "#define a color seed for each patient\n",
    "color_dict = {'VS': 'C0', 'VL': 'C1', 'RS': 'C2',\n",
    "              'KM': 'C3', 'LM': 'C4'}"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "outputs": [],
   "source": [
    "def logistic_growth(x, A, x_0, k):\n",
    "    \"\"\"The logistic growth fct\"\"\"\n",
    "    return A/(1+np.exp(-k*(x-x_0)))\n",
    "\n",
    "def deformed_probability_curve(df, v_min=0, v_max=3, binsize=.25):\n",
    "    \"\"\"Compute the values for the shape probability diagram to find a cell\n",
    "    in a deformed state for velocities between v_min and v_max in the DataFrame df\n",
    "\n",
    "    returns: *tuple* (deformed_bins, deformed_hist_normal)\n",
    "        - deformed_bins: *array* limits for the bin ranges of the histogram\n",
    "        - normalized counts for each velocity range\n",
    "    \"\"\"\n",
    "\n",
    "    bins = int(v_max/binsize)   #number of Bins in histogram\n",
    "    #find index of cells in a deformed state. Class definitions are:\n",
    "    #1-parachute, 2-slipper, 3-asym. parachute, 5-multilobe, 7-undefined deformed\n",
    "    #4-discocyte/undeformed, 6-tumbler\n",
    "    deformed_index = ((df['shape'] == 1)\n",
    "                      | (df['shape'] == 2)\n",
    "                      | (df['shape'] == 3)\n",
    "                      | (df['shape'] == 5)\n",
    "                      | (df['shape'] == 7))\n",
    "\n",
    "    #create new column in df that is True for deformed state\n",
    "    df['deformed'] = False\n",
    "    df['deformed'][deformed_index] = True\n",
    "\n",
    "    df_deformed = df[deformed_index]\n",
    "\n",
    "    deformed_hist, deformed_bins = np.histogram(np.array(df_deformed['velocity']),\n",
    "                                                range = (v_min,v_max),\n",
    "                                                bins = bins)\n",
    "    #get the counts for all events to use for normalization\n",
    "    all_hist, all_bins = np.histogram(np.array(df['velocity']),\n",
    "                                      range = (v_min,v_max),\n",
    "                                      bins = bins)\n",
    "\n",
    "    #normalize the deformed histogram\n",
    "    deformed_hist_normal = deformed_hist/all_hist\n",
    "\n",
    "    return deformed_bins, deformed_hist_normal"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "outputs": [],
   "source": [
    "#define dict to store fit values\n",
    "dict_fitvalues = {}\n",
    "\n",
    "def dict_fit_values_patient(patient, dict_fitvalues):\n",
    "    result_summary_folder = r\"data\\shape_analysis\\result_summaries\"\n",
    "\n",
    "    v_min = 0.\n",
    "    v_max = 3.\n",
    "    binsize = 0.25\n",
    "\n",
    "    #bounds of the parameters in the logistic growth function for our example\n",
    "    #f(x, A, x_0, k) = A/(1+np.exp(-k*(x-x_0)))\n",
    "    # 0<A<1, 0<x_0<inf, 0<x_k<inf\n",
    "    fit_bounds=(0, [1, np.inf, np.inf])\n",
    "\n",
    "    result_file = os.path.join(result_summary_folder, patient + \"_results_MCFM.tsv\")\n",
    "    df_results = pd.read_csv(result_file, sep='\\t')\n",
    "\n",
    "    dates = np.unique(df_results['date'])\n",
    "    dates = np.sort(dates)\n",
    "    day0 = pd.to_datetime(dates[0])\n",
    "\n",
    "    #create dataframes to save fit parameters\n",
    "    df_fit_all = pd.DataFrame()\n",
    "    df_fit_healthy = pd.DataFrame()\n",
    "    df_fit_unhealthy = pd.DataFrame()\n",
    "\n",
    "    for num, date in enumerate(dates):\n",
    "        df_date = df_results[df_results['date']==date]\n",
    "        #create new Dataframe to work with, leave out skipped cells\n",
    "        df = df_date[df_date['shape'] != 0]\n",
    "\n",
    "        healthy_index = df['health'] == 0\n",
    "        df_healthy = df[healthy_index]\n",
    "        unhealthy_index = df['health'] == 1\n",
    "        df_unhealthy = df[unhealthy_index]\n",
    "\n",
    "        #calculate percentage of healthy cells in sample\n",
    "        percentage_healthy = len(df_healthy)/len(df)\n",
    "\n",
    "        bins, deformed_curve = deformed_probability_curve(df, v_min=v_min, v_max=v_max, binsize=binsize)\n",
    "        bins_healthy, deformed_curve_healthy =  deformed_probability_curve(df_healthy,\n",
    "                                                                           v_min=v_min, v_max=v_max, binsize=binsize)\n",
    "        bins_unhealthy, deformed_curve_unhealthy =  deformed_probability_curve(df_unhealthy,\n",
    "                                                                           v_min=v_min, v_max=v_max, binsize=binsize)\n",
    "\n",
    "        bins_plot = bins[:-1]+binsize/2\n",
    "\n",
    "        #exclude nan values before fitting\n",
    "        ind_nonnan_all = ~np.isnan(deformed_curve)\n",
    "        ind_nonnan_healthy = ~np.isnan(deformed_curve_healthy)\n",
    "        ind_nonnan_unhealthy = ~np.isnan(deformed_curve_unhealthy)\n",
    "\n",
    "        popt_all, pcov_all = curve_fit(logistic_growth,\n",
    "                                       bins_plot[ind_nonnan_all], deformed_curve[ind_nonnan_all],\n",
    "                                       bounds = fit_bounds)\n",
    "        popt_healthy, pcov_healthy = curve_fit(logistic_growth, bins_plot[ind_nonnan_healthy],\n",
    "                                               deformed_curve_healthy[ind_nonnan_healthy],\n",
    "                                               bounds = fit_bounds)\n",
    "        popt_unhealthy, pcov_unhealthy = curve_fit(logistic_growth, bins_plot[ind_nonnan_unhealthy],\n",
    "                                                   deformed_curve_unhealthy[ind_nonnan_unhealthy],\n",
    "                                                   bounds = fit_bounds)\n",
    "\n",
    "        #days since treatment start\n",
    "        treatment_days = (pd.to_datetime(date) - day0).days\n",
    "\n",
    "        df_fit_all = df_fit_all.append({'A': popt_all[0], 'x0': popt_all[1],\n",
    "                                        'k': popt_all[2], 'days': treatment_days,\n",
    "                                        'percent healthy': percentage_healthy},\n",
    "                                       ignore_index=True)\n",
    "        df_fit_healthy = df_fit_healthy.append({'A': popt_healthy[0],\n",
    "                                           'x0': popt_healthy[1],\n",
    "                                           'k': popt_healthy[2],\n",
    "                                            'days': treatment_days}, ignore_index=True)\n",
    "        df_fit_unhealthy = df_fit_unhealthy.append({'A': popt_unhealthy[0],\n",
    "                                             'x0': popt_unhealthy[1],\n",
    "                                             'k': popt_unhealthy[2],\n",
    "                                              'days': treatment_days}, ignore_index=True)\n",
    "\n",
    "    dict_fitvalues[patient] = {'all': df_fit_all, 'healthy': df_fit_healthy, 'unhealthy': df_fit_unhealthy}\n",
    "\n",
    "    return dict_fitvalues"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "markdown",
   "source": [
    "Fill dictionary with patient data"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "outputs": [],
   "source": [
    "patients = ['LM', 'KM']\n",
    "labels = [\"P4\", \"P5\"]\n",
    "\n",
    "for patient in patients:\n",
    "    dict_fitvalues = dict_fit_values_patient(patient, dict_fitvalues)"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
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   "execution_count": 7,
   "outputs": [
    {
     "data": {
      "text/plain": "<Figure size 864x396 with 2 Axes>",
      "image/png": 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Z2SbnRo0ahW7duiEhIQGrVq0yu8i6uLgYu3fvNjr2zTff4MqVKyZlc3JykJWVBcC+dWqEkIZpje/7LMvihx9+AAA89NBDVsvqzx84cMDwIb2h74f60YoDBw4YJa6QyWRYsWIFqqqqmt6peqy9hzZFSz87HPXcAOjZ4cpoah9pE44fP47Tp0/Dx8cHzz33nNWyoaGhEAqFUCgUSEtLw4ABA1qoleZ5eXnh6aefxgcffGB2obBQKMRHH32Ep556Cl999RV+/fVXdO/eHZWVlTh79ixUKhUeeughTJs27S603lRj2svhcLBp0ybMmzcPx44dw5kzZ4w2VUxLS0NsbKxJyl+9e++9F+Hh4bh69So8PDysfngZPXo0EhISsHTpUtx7772G7F5Lly6FVCrFxx9/jKeeegq7du3C4cOHER0djfbt20OhUODatWvIysqCr6+v0YLk3bt34+2330ZoaCgiIiLg7u6OkpIS/PPPP1CpVBg/frzN9POEkIZpre/7Z8+eRU5ODtzc3DBmzBirZYcMGQIfHx8UFxfjt99+w8iRIxv8fvjII49g27ZtuHz5MkaNGoU+ffqAZVmcP38efD4fkydPNptmvbFsvYc2Vks/Oxz53OBwOPTscFEUSBGnp1QqDYkaFi5caJT21hwul4uOHTsiPT0dqampdz2QAoCZM2ciPj4eN2/eNHu+Z8+e2L9/Pz7//HP88ccfOHbsGNzc3NCzZ09MnToVEydObHTChubQmPaGhoZi37592LFjB44dO4bz589Dq9XCz88Pw4cPN0kfXB/DMBg0aBCuXr2KSZMmQSwWWyw7Y8YMyGQyHDp0CCdPnjSkm33uuecglUrRrl077NmzB3v27MFPP/2EjIwMJCUlQSKRICAgAP/5z39M0skvXrwYJ0+eRFJSEi5cuACZTAY/Pz/0798fjz76KO1MT4iDteb3fX3QMmrUKKvvRQDA4/Ewfvx4xMfHY+/evRg5ciSAhr0fent7Y+/evdiwYQPOnDmDU6dOwdfXF6NHj8bChQuxa9cuh/bP1ntoU7Tks8ORzw0A9OxwUQx7N3clJYQQB1AqlRgxYgRKSkpw5MgRwzQeQgghxBx6bhBHoDVShBCn9+2336KkpARDhgyhhyEhhBCb6LlBHIGm9hFCnNKVK1fw5ZdfoqioCKdPnwafz8fSpUvvdrMIIYS0UvTcII5GgRQhxCkVFxdjz549EAgEiI6OxuLFixEdHX23m0UIIaSVoucGcTRaI0UIIYQQQgghDUQjUnbQarXQaJoWb3K5TJPrcFbUd9fsO+Da/ae+O1/f+Xyu3WUd8VwAnPd75QjUd+q7K3Ll/jtr3609GyiQsoNGw6KiorZJdUgk7k2uw1lR312z74Br95/63nx9V/57HrL334XX6rXgdYlsdJk7+ftbT6FdnyOeCwC9TqjvrseV+w64dv+dte/Wng2UtY8QQojTUP57HlWvvARtXh4qX1oIbWVFo8oQQgghTUWBFCGEEKegD5CgqAMAsNVVqFq2BKxa3aAyhBBCiCNQIEUIIaTVuzNAAgCo1VBnZqJm80e2y2zZ0LINJoQQ0ua1+Bqpzz77DJcvX8bly5eRm5uL4OBgnDhxosH17N+/H1u3bsWVK1cgFosxYsQILFmyBD4+PiZlExMT8eGHHyIxMREMw6BXr15YunQpYmJiHNElQgghzchsgKSnqEPd4YMAn4+6H/ZaLnNoP3jdYuE2amzzN5gQQohLaPERqfXr1+Ps2bPo0KEDvL29G1XH1q1b8eqrr8LT0xMrV67EtGnT8OOPP2LmzJmorTVexHbx4kXMmDEDubm5WLRoERYuXIjr16/j8ccfR3p6uiO6RAghpBnJ3n/XfICkp6izHEQZyihQu2Wj4xtHCCHEZbX4iNSvv/6K0NBQAMCECRNMAh9bysrK8NFHH6F79+7YunUruFxdSsLu3bvjueeew/bt2/Hss88ayq9evRp8Ph/ffPMNAgMDAQDjxo3DuHHjsHbtWnz11VcO6hkhhJDm4PXOWlQuWQBWJgNUKvOFrAVRACB0g3jV245vHCGEEJfV4oGUPohqrOPHj0Mul2PGjBmGIAoARo4cidDQUBw8eNAQSF2/fh3JycmYPHmyIYgCgMDAQNx///3Yt28fiouL4e/v36Q2EUIIaRxWqwVbUQ5tcTE0JcXQFhdBW1ICbUkRtMXF0JaUwHvjx5DG70LVq0ugzs4E6mwETXcSusHrgw8h6NWneTpBCCHEJTndPlLJyckAgF69epmc69GjB44cOYKamhp4eHhYLduzZ0/s3bsXly9fxvDhw5u1zYQQ4orY2loLwdGt/4qLoS0tATQaq/Voi4vA6xIJ782foWbzR7o1UbZGoPQoiCKEENJMnC6QKioqAgCjESa9wMBAsCyLoqIihIeHG8oGBASYLQsAhYWFNu/J5TKQSNyb0mxwuZwm1+GsqO+u2XfAtfvvan1ntVoUvf4a1IVFqCougqqwEGxNjUPqFtVWwePW91L65ioUi91RtWsnWBsjU4ybG/xefgXeI4Y4pB31OeK5oKvHtV4n9VHfqe+uyJX73xb77nSBlFwuBwAIBAKTc0KhEABQd+vhaq2s/pi+jDWO2MHeWXdzdgTqu2v2HXDt/jtj31mWBSuT3R45Ki6GtrQY/O49we/V2+b1spOnwFZXObxd1ddzobr1vVT+ex5VO3faNSLF1tWhZPMmaAbcC463xGZ5a7vX38kRzwXAOV8njkJ9p767Ilfuv7P23dqzwekCKZFIBABQKpVwc3MzOqdQKADAcLx+2Tvpj+nLEEJIW8aqVLem1JWYBEqaetPtzK0/Es2YY1cgxfH3h6YZAiltSTEAG2nQLWCrq1G1bAm8N30Ghud0jzxCCCGtmNM9VfTT9AoLCxEWFmZ0rrCwEAzDGMro/6+f4ndnWcD8FEFCCHFG6vRUqDPSoS0xDo60xcVgK8obXa+2xPQ91ByOrx80V7IbfR9LNMXFjQqiABht2itevNThbSOEEOK6nC6Q6t69O3bt2oULFy6YBFKJiYkIDw+Hh4eHoSwAXLhwAY8++qhR2YsXL4JhGHTr1q1lGt4KpJ+5iaRjORg4pTNCu5tuXGxvGUJIy2AVddCWlICV14LXJdJm+bpDB1B3YJ/D26EtLrarHMffdD2qPRgPD3D8/HX/+fuD4xcAjp+f4d/a4qLGBVF6ijrUHT4AXmx32pCXEEKIw7TqQCo/Px9yuRwdOnQAn88HANx3331YvXo1vvnmG0ycONGQAv3EiRPIycnBokWLDNeHhYUhNjYWR48exaJFi4wSTBw9ehQDBw50mdTn6WduIvFoDgDgr93ZkLR3h6efW4PLEEKajtVqwZaX6UaOSkpuZbUrNslop19vxGkfBJ/d+23Wy/FrnvczbUmJXeU4d76fcrng+PrVC5DuDJQCwPXzB+NuffFx2fTX7Nonyp4NeSmQIoQQ4igtHkjt378f+fn5AHSb66pUKnz88ccAgKCgIEyaNMlQ9tVXX0VCQgKOHz+OkJAQAICPjw8WLVqEtWvXYs6cOZgwYQIKCwvx9ddfo1OnTpg9e7bR/VauXIlZs2bhiSeewIwZMwAAO3bsAMuyWLZsWQv0+O6rHyDp/fLJZTz4ai/wBBy7yxBCbNOn/K5Nr0LdtVzjlN/6/9uR8rs+bWkJWJYFwzBWy5kEMg5i79Q+4X1jwIvpBu+OIah18wQj9QHDafr7h9fqtah8aSFYWbX5DXmFbvBYsBi1X35medNeoRvEr7/V5LYQQgghei0eSO3duxcJCQlGxzZs2AAA6N+/v1EgZcncuXMhkUiwdetWrF69GmKxGPfffz+WLl1qmNan17t3b8THx+Ojjz4y3Kd3797YsGEDoqOjHdOpVsxcgAQAaqUWxz9Pwdj5sXaVIYTYprr4LyoX6DYEr3BkxUol2KpKMDYyzzlkRIrPNx5B8vMHxz8ArFZrMyjihXcCL7wT3CTuqHNgZiZel0hI43eiatkSqLPu2JC33j5RwuEjzW/aK3SD1/vrIejd12FtIoQQQhiWZdm73YjWTqXSOGX6c0sBUn2SIHdU5FtvV+cB/ugzoWOj2+Gs6S4dwZX7DjhH/y2l/L49iqTbTNZr7TrwomKs1qXJuYHyx6c0SzslX38DXpcIq2XUV7JRMfsxi+cZidQoQOL63w6UOH5+4PgFgPH2tjnyZbOtzfRzZ9Vq1GzZgLpDB3TT+Mxstsuq1cab9jYgiGpI+nNHPBcA5/gdaS7Ud+q7K3Ll/jtr39tU+nNiv6Rj1oMoAFaDKEl5BqLTv8GlmqcAC4GU8t/zkL3/LrxWr7VrMTxxXUVXqnDuwDUMnt4Fkvbm18TYU6YhWJUK2tKSW0FRkdEaJFspv++kKSqyGUg11xol4FYKcBuBFCcgEMLRY8HxvTWipF+P5O8Pjo8vGDN76jkThseDeNES8LrFonbLRohXvW0URBnKLF4KXmx3XZnX36KRKEIIIc2CAqk2bMCUTvh795VGXSspz0CP5E/A0SrRN/UTaCtHmGxoWT8dceVLCyGN32nXppfE9RRdqcIfOzKhUWnx27Z03L+wO4TuvAaXsUf1u29CnZ3V5JTfd9LvZWQNIxKBEYt163QcgcMBR+qjW/t0K7GO1eJiMTxXveOYe7dibqPG2kwaYU8ZQgghpCkokGrDOnT3hbS9B3755DLUSq3d1+mDKK5Wt2kxUycz2dDyzj1d2Ooq2vSSmFU/QAIAVZ0Gp3dkYMS8GHC4jEkZjkYJblkJLqy7hh4DRGBLS6AtKQYvMhpuY8fZvJ86OxuazAyH90NbbOdeSn7+0NgRSOlSfhun+db93+/2v6U+9PtECCGEtFL0hG7jPP3c8OCrvXD88xRUFsptlr8ziAJgsqGl2Y0x9WW2bIB40ZJm6AlxRvkZ5beDKFYLgbIaQmUluCWVyHrvDILbaVB7JQ8VKTfQp64SQkUF+Orb001rjt2uS3DfGLsCKY6/PzSZ6Q7vi917KbULAiuXgx8YCFbqaxIccW+tT7KV8psQQgghrRsFUi6AJ+Bg7PxYHN2UjKoiy2tBzAZReoo63eJtPh91P+w1v1+Log51h/aD1y2WptS4MFVqClT/nENNdi5Kkq6jp7wCQmUFBIoqcFBvZDQRkANgANiz9bM9U+sAgOvnDzPJr5tMW2rfXkpe768HwzBOu6iWEEIIIfahQMpFJB/PtRpEAUB0+jfgmAui9BR1loMoQxna9LItYdVqaMtKoS0pAVtVCcHAQTavUf17DrWfbQEDwJGpF+wNpBqV8EEg0G0ce0fKb93okZ8hq509mprxjhBCCCHOgQIpF3D5RB5STxXYLHep25PombQFPHUtOKyFzUKtBVGAbtPLVW83opWkJelSflff3iTWQspvbXkZoL01isTlwvf4aTA2kh5w/AKapc3a4uJGbUrLSH1uBUd+4PoHGP7N0f/b3x+MV9NTfhNCCCHEtVAgZQeFQo7MzJQm1SEU8qFQ2J5wJBJ5ICQkzO56a2trkJd33eL5gkQlbibaN9FJ5hmKv/u/hh7Jn0IsyzM/xc8aPh/iV5aD36OX4VBpaTFu3Kiwq++OEBwcBnd3D9sFb8nNvQ65vKbZ2nPnzz0iomuDrm/U606rBaesFEx5BTgV5eCUl9/6fwWYW//nVJSDUTbw56vRgK0oB+OrG5mx9NrjKWph/248DaBUgJVVg/H0slpMcM9geH/yBSq5XJRDA1hL1sCqgKJ83X9N1Npee3dqkdfeLfa+3+k5+n2vsfz9B9hd1hHPBcC+71Vr+f5Y4uPjD19f+0eCS0uLUVZW3ODXSWO1xt/N+n1vyd/NhmqO154jf+6Nfe21lNb42quvpV97DfnZt6b3PWvPBgqk7KDRaCGTVTepjro6LtRqC6M8TaDRaCy2rSwNKE1hoFuFYh81X4x/e76ILtl7EZx/BhxWbX9jVCrI3nkDNeveBzciErzIKKj8/VEj9UKdn33pm5tKo2nY91gur2nyz9aapv7cjdrGsrr/OByr13BLSxH01puNvqc12pJicG4FUpZeezwBv0mBFAsGSoEntL4SsH7e0Hp7Q+0tgTisIxge3+b1HF8/cHz9oCrIhexmXhNa0jCt7bXXVE1pW3O93+lZe99rKY54LgDN871q6e+PWGz9jxt3UioVkMmqm/11otcafzeb0ve7/dq3xp7XniN/7o197bWU1vjaa4rW+lkYuHvPBQqk2iit2t4gir31/9vlOFoVuBpVw4Ko+jXW1kCdeAHqxAvgQbdOhuXxoAoKgjIkFMqQEKhCQqAKCgLroA1CxSdOQHLwADSvrADGP2i2TO2ub1D7yWZ4rnobwpGjHXJfR2EVdbqpdMVFRpvF+mamgVtZCW5FBbiVVSidNQvyXr2s1qXxatiDpSE0xcUWN6VVK4CaAkB+Q4r2Fq5Xc92gEEqgEHjr/i/0rvdv3X9qNzH8enDg3cn4Wo92wWBEIsd2iBBCCCGkkSiQaoNYLVBw1r4gyjOERXUuA11AxcCz6jq6pW6Fu9y+PXPsxajVENy4AcGNG7fvzuFAHRgIZXAIlKEhUIWEQhkcDLaBaaHFJ05Asv8HAIB67btQx/UEL7SDUZnaXd+gdvMGAED1m6+BGxFlUqZZaLXgVFXdCoQqIb+eW29dUhG0pSW6tT/VVWYvv/M7wa2osH1PPh8aDzG4NQ7aFLaeOxM+KKsBWQFQU8CgrhTQvebccD30Pqj4YigEuuBIeStg0vDcbN+EZVGaCoiDWXCFDu8CIYQQQohDUCDVxrBa4GYCg9pC20GUX3cW0gjAJ4bFjeMsOlz9BeHXjoDD2r95b1MwWi34BQXgFxTA4/w5w3G1rx+UIfrgKgTKkFBoLYyy6IMoQ29ZFhXzZsLn0M/gCHUf2usHUXeWaS7Sb7+FW1oquFVVYLS3v59NnfnMraq0q5xG4u2wQIrx8jLsgcRIfFB8vRr5aRXIvVyKmnLz0wyzOz/SlDtCo2SR/xeDkKEsGOszGQkhhBBC7goKpNoQlgUK/2Ugy7c/iAIAkaoM91yLh9vVrGZvoz14pSXglZbAPfGi4ZjGy0sXXIWE6oKr0BCIEhMh2b/fdNxNLkflM3Mh3fqtaRBVv8yz84AVK03PaTTgVlXpptRVVoBbUWn4t9rPH1Xj7NgUtrYGPHtGjxqIW2FnIOXtDeRZXx/E8njQeHvr/pNIwPHzh09EtC7lt78u/TfH1xcaho+bWVXIT6tAwV8VUBxPc0RXrGMZKCpZFCczCOjB2i5PCCGEENLCKJBqI1gWKE5kUH3DchDFFbHQyGEcRP37L3x27QRHLm+hljYOt6oKopQUiFJuZ4zRTUY0T5OdhfInZ0OTnmqxTk1WJsTvvA1+UNDtoKmyEpzqajCs+Q/vio7hdgVSGonEZpnG4FZW2FVO1b49uJVV0Ei8ofGW1AuYbn0tkUDr7g7US/ktFnvC/Y4MPpdP5iP193xo1S0fzLAaBlXXWLj5AF6hLX57QgghhBCrKJCyA5fLgVjctITODUl/3hBcLhdisSfy/1Wi8orl+j2DuOg0QggO99YHZ7kc7t/ugPDMmQbdT8MRgKNVWl19xUil8Jj/ItQZaahLuQQ2OwtMbW2D7mMPW+Nu1oIoPf7VK+BfvWL3PXnVVXa9Frj+zbOXEq+uzq77a56YaTKNkIHuF97SL725157Ik9+sQRTDBSxtWQbogqmyyxwExbhDIGjYgimBQNjk39uG4DYwK2VDf9dbWlO+d41Jf94Q+ve9u8kRzwXA/vTnDdHS35/G/m62VPrz1vi72ZS+t+TPtjlee478udNzoWW11GdhoPW/7+kxLGvhT+/EQKXSoKKiaYGAROLe5DosSfktH5d+tTyNyy9MjKGzIsET6H6hVZeTUf32KmjzG5YaWsMRILPLI+h09YjlTXuFbvB6fz0EvfsaDnl7i1CWmgV1ZgbUmelQp6dDk5kObWlJg+7fKnC58D1xBoyNFOR1R49A9u5b9tfL4YDj46vbKNbP//ZmsfppdreOMR4eLbpxrLxahUMfXLyd3NEGkScfQdESBEVLIBDx8Od3WVDUqqHVmFbA5XPQc1woLh3Pg6pOY7HMkBkRCOjUfJkIm0tz/s63ds7ad39/+x/CjnguAM77vXIE6jv13RW5cv+dte/Wng00IuXkMv4qtBpESYPdMWSGLohi1WrId2xD7dYvAFt7GzCMbr7gLRqOAIndn0OFNBJF/r3Mb9prJojSVcWAGxQMblAwhMNGGI5rS0t0wVVGui7AykhvcHDX4vSb0vr4Wi3G8bu9QSDj4WFI1qALlAJuB0f6QEnqA8baxrEOoqrT4GZWJfJSyxEztD28A61nSBR58uEb4oHSHMtpMrwDRQiKliA4Rgppe3cwnNuB3qMr++HIlkRU3JRDo7qddIPL52DIzAgEhHshpJsPTu/IMF/GSYMoQgghhLR9FEg5sSv/FOPijzcsnvcOEGHorCjw3bjQFOSj+p03oE5OtF4plwvR3KehLSuF4vBBQFEHDVeAxFhdEAUYb9obVPAnuFqVxSDKGo6vHwS+fhAMHGQ4ppXJoMnMgDojTRdcZWZAc+0qoG2ZTIL20BYXg2MjkOJ36w7JN9/Dp0sYqpRWiza72koF8tMqkZdWjuKr1YaRH08/kc1ACgCCoiRGgRTDYeDf0dMw8iSWWp5a4ebBx4h5MUg8egNX/imBRqU1CqIAQOjOw4h5Mbh49Aau1i9DQRQhhBBCWjEKpJxUTnIZ/jlwzeJ5sY8QQ+dEQujOQ92xo6hZvxZsjfXk25yQUHi+8Q740bqEA/zY7qjdshFuL6+C5pw7UFJnKMtyuMiMmIpKr3DE5B6EdPXqBgVRFtsgFoPTqzf4vXrfvpeiDursbKgz0nRBVmY61NlZgLL5IpT6Kb/rjyJx/fzBCQq2fb1IBF6HMHDc3QFlyw5jsyyLioJa5KdVIC+tAhUF5u+fn16ObiOCbNYXFCNF2h830S7CG8ExErSL8IZAZP9bB4fLoNf4MPiEipH0cw4GTOlkCKLql+k9Pgy++jKTO1EQRQghhJBWjQIpJ5SfXoG/91yBpdVt7t4CDPtPFISMEtVvr4bil6M26xROeAjiBS+CqbcZrtuosXAbNRYAMCxWiZNfpKGmXGF0nf/0hxAw4rlmXbfDCN3A79oN/K7dDMdYtRqa69egzkyH/NABaJIuNqhObmQ0uCGhuiDJP+B2ym8/XeDECO3YOLYV0ai1KL6m298pP60CtZW2g8zyvFrUVinh7iWwWs7L3w0PLusJLq9pGzqFxfkiLM76SJ49ZQghhBBCWgMKpJxM4ZUq/LkzC6zWfBTlJuZh2JwoCG6koeKdVdDeLLBaH+PlBfErK43WLpnj7qULzk5+kQp5lS7jSo/7QxE1uF3jOtJEDI8HXucuUJ4/2+AgCgA0Odfh/fHnhk17nZFSrkZBRiXy08pRkFkJtaLh0x/z0yrQpb/1DIMMw4DLa7kEF4QQQgghzoACKSdSckOGM99kWkxHLRBxMWRGZ3AObEfl9q9srivi9+kH8co37E7VLZYKMWxOFE59lYauI4JtfgBvbhY327VHvU17nYmsXIH8tHLkp1ag+Ho12CYuHStItx1IEUIIIYQQUxRIOYnyglr8EZ8BtdL8J2eegIN7x3qAeWcx5JcvWa+Mx4P7089DNO1xm2m87+TlL8K4RXHguzVsbwRHa1IQdYsmOwvVH34AzxdfdlCrmodapUXqb/nIT6tAZWHTN04WiLhoH6lLFNGui7cDWkgIIYQQ4nookHICVcVy/L4tHao68ynLuVzg3o5XwSzfDLXcemIDblhHeK56B7zIqEa3524HUQBQ+8lmh9Sj2L+31QdSXB6DaxdKDFMqG8NDKkRwjC548usgBofbtPVOhBBCCCGujgKpVk5WrsBvW9OhqFGbPS/QyjGo9jA4n5+yuWeq26TJ8HhhERg3510XpOe56m1Uv/kaLGbcACAYPRbKX49ZLeP+/ILmaJ5DMQyDoGgJshOKG3SdT4iHbn+naCm8AtxadCNfQgghhJC2jgKpVkxepcRvX6dbHImQVmSi5/VvwJRb/4DNeEsgXvYahPcObY5mWlRXo8K5fVcxdHoUwHds3cKRo8GNiELFvJmA3HS6m/uCF+E+9TGo//OU5TLzF8F92hOObVgDVJfWoapQjuCuUptlg6KlNgMpLo9BQGcvBEVLERTlDZGn9Wx8hBBCCCGk8SiQaqXqalT4bWu6SbpxAGC0GoRfO4KwnGNgrIy2AAC/3wB4rngDHD+/5mqqWfIqJX7bmo6q4joc2ZSIYXOj4CGxvHFrY/BCO8Dn0M+ofHYeNFmZhuP6IMqozDNzocnOul3mLgRRWi2LslwZ8lJ1KcqrS+rA5XMwaXkvcPnWp9oFhHuCJ+CYrJETuvPQPlqC4CgJArt4gSe4+9MuCSGEEEJcAQVSrZBSrsbv2zJQVVxnck5UW4RuqV/Dq/qG9Ur4fHg8Ox9uU6Y1OKFEU9WUK3Dq69tBoKxcgd++TseIJ6MdPkrCEbpB+vU3qP7wAyj274X7C4sMQZRRma3f3i7z/IIWC6LUSg3yUst1+zulV5hM0dSotCi8UoWgKInVerg8DtpFeCP3cjk8/dxuTdmTwCdUDA6HpuwRQgghhLQ0hmVtDGkQqFQaVFRYT+Jgi0TiblcdaqUGv23LQOkNmfEJlkX7m38hIvN78LTWN1vlhnfSJZToEtGUJjdKdUkdTn2dZnY6oleACCPmRUPo3rbj9zqZCvnpFchPrUDhlSpoVNZzlHfq64++D3W0WW9loRwMR5c50VnY+7pvi6jvztd3f39Pu8s64rkAOO/3yhGo79R3V+TK/XfWvlt7NrTtT7RORqPS4vQ3WSZBFE9Vg+j0bxFQctFmHW6Tp8Ljuflg7tJGs4VXqiyu6aoq0mUfHPafKAjc2s5Lj2VZVBXX6Uad0spRmlsDm5k/6slPqwA7kQVjY2TJO9B5AihCCCGEkLau7XyadXJajRZ/7cpG0ZUqo+PS8nTEpG6Hm7LC6vWM1Aeey1+H4J7BzdhK27r0D4CyVo1Lx/PMni/Pr8Xp+EwMnR3p1Ot5tBoWpTkyw7Q9WZnpWjZ71clUKMuvgW+I2IEtJIQQQgghzYkCqVZAq2Vxdu9V5KdXGI4xWjU6XT2EDjnHwdgY3uAPHAzP5a+B4+PbzC21T8yw9lArNUj746bZ8yU3ZDjzbRbufSLCZpKF1kSl0KAwqxJ5aRUoyKiEstZ8SvqG8A4QIShaAjcPB6c1JIQQQgghzYoCqbuMZVn8c/AacpLLDMfca26iW+pWeMpyrF8sEMLjhYVwe3hKq9ojiGEYdB8dArVSi6yzRWbLFGZX4a9d2Rj0WGen2Rz2RnIZ/jlwrUl1MBzAP8wTQdG6zXHFPs6/pxchhBBCiCuiQOouYlkWiUdzcPWfEv0BBBWcRkTWXnC15tcZ6XE7d4HnG++AF965BVracAzDoNcDHaBWanHtQonZMvnpFTi75yoGPNrJKTLPBUV5459GXMcTctCuizeCY6RoF+Hd5pNtEEIIIYS4ghb/RKfVarF9+3bs3LkTeXl58PHxwbhx47Bw4UK4u7vbvL6kpAQbN27Eb7/9htLSUvj5+WHUqFFYuHAhvLy8jMpu2rQJmzdvNlvPK6+8gnnz5jmkT411+UQ+Mv4sBADwlTJEp38D/9Ikm9e5TX0MHk8/D0bo2H2ZHI3hMOg7qSM4YHDlgvnNZHMulYEr4KDfQx1tJltoLlqNFho1C77Q+potkacAPiEeKMutsVmnyIuPoGgpovoGQuQvAJfnHKNuhBBCCCHEPi0eSK1Zswbx8fEYPXo05s6di+zsbMTHxyMlJQVbt24Fx8qeR6WlpZg6dSqKioowbdo0REREIDMzEzt37sT58+fx3XffQSQyzWy2fPlySKVSo2OxsbEO71tDpJ0uQMqpfACAT1kqYtK2Q6issnoN4+MLz5VvQNB/YEs00SE4HAYjZkVDXqtEQXql2TLX/i0BT8BBrwc6tNgURaVcjZuZuvVONzMrETW4HboOD7J5XVC0xGIgJWnvbtjfSdLeHQzDOG2qT0IIIYQQYl2LBlKZmZnYsWMHxowZg02bNhmOh4SEYPXq1Thy5AgmTpxo8fpPP/0UeXl5WLduHSZMmGA43qtXLyxZsgRff/01nn/+eZPrRo0ahZCQEMd2xoqiI79DuWktPN54D9J74kzOZyUU4cbOExiYvgOVXp3QvuiczToF9w6F+JWV4NwREDoDLo+DQdO64I8dGSi6Um22TNbfReAJuIgb3Xw/p5oKxa0U5RUouloNVns7iUd+WoVdgVRwtASXftVlJORwGfh39ERQjARBURJ4SFr3CCEhhBBCCHGcFp1vdPjwYbAsi9mzZxsdnzp1KkQiEQ4ePGj1+rNnz8LNzQ3jx483Ov7AAw9AKBRi3759Fq+VyWRQq5ueZc2WoiO/g31/BYQ1xZC/9hLqbpYanb9+sQRXtv+CHslbIKortR1ECYXwWLoMnms+cMogSo/L52Dw4xHw7WA5xXfa7wXYv+ZfVBRYHsEpulKFIx8mWS2jx7IsyvJqcOl4Ho5tuYQj65Jw4cgNFGZXGQVRAFCWVwN5lfWNjgHdpsIRAwMwcGonPLisJ4bNiULEgEAKogghhBBCXEyLBlKXLl0Ch8NBXJzxKI1QKER0dDSSk5OtXq9UKiEUCk2mf3E4HLi5uSEnJwdlZWUm1z344IPo06cP4uLiMH36dPz2229N74wZ+iCKq1WCgW4j3cLnFkCj0CWOyE0pR/oXR9EzaTO4WjVsTWLjRkRB8mU8RA890qqy8jUWX8jFkBkRkAZZXgunlGtw4otUKMykFi+6UoU/dmSipkyB37almy2jUWtRkFmJfw5dw+H/JeLXT1OQciofFTflNttXP/28JQzDoNf4MHTo7tumNhUmhBBCCCEN06KBVFFREaRSKQQCgcm5wMBAlJeXQ6m0PCoQERGByspKpKamGh1PTU1FZaVu/U1BQYHhuKenJ6ZNm4bXX38dH3/8MV566SXk5eXhmWeesTp61Rj1gyg9DquBW9kNXH91NXJSy5C5aQ96JW4Ch9VYr4xhIHp8JiSffQVeWEeHtvNuE4h4GDorEl7+ltN+q5Va/PrpZWg1t0eN9EGURqUFAKjqNDi9IwNaDQtFrRrXLpbgz51ZOPDeBfyxPQPZCcWQV1nPfHinvNSKRvWJEEIIIYS4HoZlWeu7vTrQqFGjoFarcerUKZNzr7zyCg4cOIBz586ZZN/TO3/+PGbOnIkOHTpgxYoVhmQTa9asQV5eHlQqFb755hv07dvXYhvKy8sxceJEKBQKnDp1Ch4eHjbbrdVqodFY/jbl7D2O2rdfNgqi6tNwBCj1iYF/SaLtUaiAAASueQ/uAwbYbJez4HI50Gi0RsdqKxU4+NFFVJXUWbwuJFqKB16IQ35GOY5+eglqlXEdHC4DNzEf8molWK2FSuxtI49BaFdfjH6yq0NH/8z13ZW4cv+p787Xdz7feubO+mw9F+zlrN8rR6C+U99dkSv331n7bu3Z0KJzk0QiEUpLS82eUygUAAA3N8sjFX379sX69evx7rvv4umnnwYAcLlcTJkyBWVlZfjll18gFltegwMAUqkU06dPx6ZNm3DhwgXce++9Ntut0bBWM69VfrAaQgtBFABwtUoElCTavg+HD5+vdkDpLYGyDWV6s5S5LmZEEM5+f8XidXkZFTi1Mw3ZCcWGkaj6tBoWtZW21zVZInDnISjKG0FREgR28QZfyEVlpe0pgA3h6ln7XLn/1Hfn67u/v6fdZW09F+zlrN8rR6C+U99dkSv331n7bu3Z0KKBVEBAALKysqBUKk2m9xUWFlqc9lffuHHjMGbMGGRkZKCmpgbh4eHw9fXFlClTwOPxEBYWZrMdwcHBAHSjU47g/sYa1L32EniqWtvT9izQMlwwr7wHjrfEIW1yBpeO51k9z2pZZCcUQaNy3KCp2EeIoBgJgqOl8A0Vg8N1/rVnhBBCCCGk5bVoIBUbG4vTp08jKSnJaPqdQqFAWlqa1Sl59XG5XMTExBi+Li4uRmpqKvr162d2H6k7Xbt2DQDg5+fXsA5Y4HNPD9R9sxuFz82HW1mOxSl+lmg4fDCvvoeAB4Y6pD3OYtD0Lvh9WzqUcrXFqXlNDqIYwDdUjKAoCYJjJPD0c2sTiTsIIYQQQsjd1aLJJh544AEwDINt27YZHd+9ezfkcrnRHlI3btxAdna2zTq1Wi1Wr14NjUaDZ5991nBcrVajutp0z6KCggLs3LkTEokEvXr1akJvjLm180XIzu2o6XUfNBzro2r1uWoQBQDS9u64f2F3+AR7gMNz4LokPgdB0RL0ndQRD77SE/c9FYOYoe3h5S+iIIoQQgghhDhEi45IRUVF4YknnsCOHTswf/58DBs2DNnZ2YiPj0f//v2NAqk5c+YgLy8P6enphmM1NTV49NFHMXr0aISEhKC6uhqHDx/G5cuX8eKLL2LgwIGGsrW1tbjvvvswatQodOrUCd7e3rh69Sq+//571NbWYt26dVbXYzUGV8hHp4/ewtWlPLifOwqu1nrWOA1HAOUjTyHUBYMoPaE7DyPmxeDi0Ru4er4YGrV9I1AMA9RPkyL04CEoWjdlL6CTJ3gC+xeNE0IIIYQQ0lAtvhHOihUrEBwcjF27duHUqVOQSqWYMWMGFi5cCA7H+gAZn89HdHQ0Dh06hOLiYohEInTv3h1ffPEFhgwZYlTWzc0NY8aMQVJSEn799VfU1tZCKpVi0KBBePLJJ032snKUoiO/w/3czzaDKADgaJXgHtyOumkT4NbOt1na4ww4XAa9x4eBw2XsWhPF5XMQ2k2KsrwaXfAUI4VPsAcYDo02EUIIIYSQltGi6c+dlUqlsSvLiLm9pGzRMlzIfcMRsnMbuEJ+U5rZatmTpeXOfaJsEXrwcP/C7hC6t+5NcZ01Q42juHL/qe/O1/eGZO2z97lgi7N+rxyB+k59d0Wu3H9n7bu1Z0OLrpFqyxoTRAHGm/a6qoYGUYDxhryEEEIIIYS0NAqkHKCxQZQeV6uEx4VfkfvlXge3rPVrTBAF6PaQqrgpx8WjN5qpZYQQQgghhFhGgZQDKDetBcdGEKXhCGBt7ISrVYHZ+ZljG9bKNTaI0tOotLj6TwmuJ5nf5JkQQgghhJDmQoGUA3i88R5UAi9oGfOZ4jQcAdjpz0Il8LRahr/4teZsZqtz7sA1m0EUl2/9JapRaZH0c44jm0UIIYQQQohNdgdSDz74IL799lvIZLLmbI9Tkt4TB59vdkHuG26yh5SGIwDz6hpEL38aPt/shty3o/kyr6xBwHjXSoM+eHoXCD144HDNZ9vj8jnoOS7UZpkBkzs1ZzMJIYQQQggxYXcglZ2djXfeeQdDhgzBa6+9huTk5OZsl9PRbci7DbW9RhkCJX0Qpd9s19ymva4aRAGA5NaGvNIgd5ORJy6fgyEzI9C5X4D1MjMiENDJqyWbTQghhBBCiP2B1G+//YZFixbBx8cHe/bswdSpU/HII49g9+7dqK11vlSGzYEr5CP8ozehmvUiFG4SoyCqfplOH711u4yLBlF6+g15O/XxMwRK+iAqINzLqEz4nWUoiCKEEEIIIXdJo/aR+uOPP7B7926cPHkSGo0G7u7umDhxIqZNm4aYmJjmaOdd5Yj9Qpw1d74j2Nv360mlSPo5BwOmdDIEURbLTO7kFEGUK//cAdfuP/Xd+fpO+0i1LOo79d0VuXL/nbXv1p4NjdrNdMiQIRgyZAhKSkqwZ88e7NmzB7t27cKuXbvQvXt3TJ8+HePHj4dQKGx0o4nrCYvzRVicb5PLEEIIIYQQ0tyalLXPz88PzzzzDJYtW4aAgACwLIukpCSsXLkSw4YNw9atWx3UTEIIIYQQQghpPRo1IgUAhYWF+P7777Fnzx4UFhaCw+Fg5MiRmDx5MlJSUrBz506sXbsWFRUVWLx4sQObTAghhBBCCCF3V4MCKZZl8fvvv2Pnzp34448/oFarDaNS06ZNQ/v27QEA9913H/7zn/9gzpw52LNnDwVShBBCCCGEkDbF7kBqy5Yt2Lt3LwoKCsCyLPr164fHHnsMY8aMAY9nWo1YLMaIESOwefNmhzaYEEIIIYQQQu42uwOpTZs2QSwW4/HHH8djjz2GLl262LwmNjYWkyZNakr7CCGEEEIIIaTVsTuQeuuttzBx4kS4u7vbXfmwYcMwbNiwRjWMEEIIIYQQQloru7P2derUCRUVFVbLFBQU4Ny5c01tEyGEEEIIIYS0anYHUrNmzcK+ffusltm/fz9mzZrV5EYRQgghhBBCSGtmdyDFsqxdZRiGaVKDCCGEEEIIIaS1a9KGvHfKz8+Hh4eHI6skhBBCCCGEkFbHarKJO1OXJyQkmE1nrtVqUVBQgCNHjqBPnz6ObSEhhBBCCCGEtDJ2B1IMwyAhIQEJCQkWywcGBmLJkiWOax0hhBBCCCGEtEJWA6nt27cD0K19mj17Nh5++GE8/PDDJuU4HA6kUinCw8PB4Th0tiAhhBBCCCGEtDpWA6n+/fsb/v3www9j1KhRRscIIYQQQppT0ZUqnDtwDYOnd4Gkvfm9LO0pQwghjmb38NF7772H++67rznbQgghhBBiUHSlCn/syERNmQK/bUuHolbdqDKEENIcaB4eIYQQQlodfYCkUWkBAKo6DU7vyIBWwzaoDCGENBeLU/uio6PB4XBw5MgRhIeHIzo62q49ohiGQUpKikMbSQghhBDXcWeABABaDYuKm3JcPHoDvceHWS2TePQGeo0PuxtNJ4S4EIuBVL9+/QAAIpHI6GtCCCGEkOZiLkDS06i0uPpPCThcBtkJxRbLXPmnBD6hYoTF+bZEkwkhLspiIBUfH2/1a0IIIYQQRzt34JrZAElPo9IiO6EIGpXl6XsalRZJP+dQIEUIaVa0RooQQgghrcag6V0g9OCBw7W8nMBaEAUAXD4HA6Z0cnTTCCHECAVShBBCCGk1pO3dcf/C7pAGuYPLb/jHFA6PweDHuyAg3KsZWkcIIbdZnNq3efPmRlXIMAxeeOGFRjeIEEIIIa5N6M7DiHkxuHj0Bq7+U2J1qt+dtGoWp3dkQhrsAb9QMXw7iOEbKobIk9+MLSaEuCIKpAghhBDS6nC4DHqPDwOHyyDzryKwWvtTmms1LEpvyFB6Qwac0R3zkArhdyuo8u0ghnegCByO7WzEhBBiicVAavv27S3ZDkIIIYQQI0VXqpCdUNygIMqSmnIFasoVuJ5YCgDgCTjwCRHDL0yMbiOC7NrihRBC6rMYSPXv378l20EIIYQQYmAtDbojqJVaFF2pgkKmQuzI4Ga5ByGkbaNkE4QQQghpVZo7iKrPt4PYrnKysjqolZpmbg0hxJlYHJFqLlqtFtu3b8fOnTuRl5cHHx8fjBs3DgsXLoS7u7vN60tKSrBx40b89ttvKC0thZ+fH0aNGoWFCxfCy8s0Q8+VK1fwv//9D+fOnYNKpULXrl2xYMEC3HPPPc3RPUIIIYQ0QUsGUQDgZ2cg9ff3V1CeXwtJe5EhiYVfBzHcvYXN3EJCSGtlMZCKjo4Gh8PBkSNHEB4ejujoaLvmDzMMg5SUFIvn16xZg/j4eIwePRpz585FdnY24uPjkZKSgq1bt4LDsTxIVlpaiqlTp6KoqAjTpk1DREQEMjMzsXPnTpw/fx7fffcdRCKRofyNGzfw2GOPgcvl4sknn4RYLMb333+PJ598Ev/3f/+HQYMG2ewPIYQQQlqOrQ15Ad0+UbbK8N24COkmRekNGaqK6yyWs2dESq3Sojy/FqyWRXleLcrzapH5dxEAQOTFh2+oLqjy7SCGpJ07uDya8EOIK7AYSPXr1w8ADIGJ/uumyMzMxI4dOzBmzBhs2rTJcDwkJASrV6/GkSNHMHHiRIvXf/rpp8jLy8O6deswYcIEw/FevXphyZIl+Prrr/H8888bjq9btw5VVVXYt28fYmJiAACTJk3ChAkT8NZbb+Ho0aO0uJQQQghpRQZP74LftqVDVaeBVmOaZILL56DnuFBcOp5ntczgx7ogoJNupoqiVo2yXBlKbshQmiNDWW4N1EothO48iH1sjyiV59VYTHghr1Ih93I5ci+X6+7NY3Sp1+tlCHTzoNTrhLRFFgOp+Ph4q183xuHDh8GyLGbPnm10fOrUqVi3bh0OHjxoNZA6e/Ys3NzcMH78eKPjDzzwAFasWIF9+/YZAqna2lqcOHEC/fv3NwRRAODh4YEpU6Zg48aNSE5ORlxcXJP7RQghhBDHkNzakPf0jgxU3JQbjTxx+RwMmRmBgHAvhHTzsVxmRoQhiAJ0+1K1j5SgfaQEgC49emVhLeTVKrv+oFpyQ2Z3+zVqFiXXZSi5fvsasW+91OuhYnh5iazUQAhxFi26RurSpUvgcDgmwYtQKER0dDSSk5OtXq9UKiEUCk3e9DgcDtzc3JCTk4OysjL4+PggPT0dSqUSPXv2NKlHf4wCKUIIIaT10W/Im3j0Bq7c2pC3fhBVv0z9TXvNBVHmcLgMpEEekNrZntIc+wMpc2SlCshKFbh2QZd6ne/GhU+IbtSq67AgMLSfFSFOqVGBlEqlQnZ2NmQyGcRiMTp37gw+3/awdVFREaRSKQQCgcm5wMBAXLhwAUql0ux5AIiIiMCxY8eQmppqNMqUmpqKyspKAEBBQQF8fHxQVFRkqNfcvQCgsLDQdmcBcLkMJBLbiTCs18Fpch3Oivrumn0HXLv/1Pe23XdHPBd09bT975Ul1vqulKshEPEw4okYhEYV4u/9VzBydgyCIiQmZUc+EYMsfZlZ0QiKtDc8sp+X1A3lnnzIq1UOqU9Vp0FhVhXqqlQY/HCEQ+p0Fq78mgdcu/9tse8NCqTKy8uxbt06HD58GAqFwnBcKBRiwoQJeOmll+Dj42PxerlcbjFIEgp1c5Tr6uoslpk9ezZ+/fVXLF68GCtWrDAkm1izZg34fD5UKhXkcrnhXgDM1qW/l76MLRoNi4qKWrvKWiKRuDe5DmdFfXfNvgOu3X/qu/P13d/f0+6yjnguAM77vXIES33XqLQ4sj4RPiFiRA4KhH9nT0xY2gMALH6v/LrYLtMUcQ+Eovu4ENSUK1B6Q4aSnBqU3pChsrAWbBP2CpaGeNjV3poKBYQefPD4zp/EwpVf84Br999Z+27t2WB3IFVSUoLHHnsMOTk58PT0RPfu3eHv74/i4mKkpaVhz549OHv2LL777jv4+fmZrUMkEqG0tNTsOX1g5ubmZrENffv2xfr16/Huu+/i6aefBgBwuVxMmTIFZWVl+OWXXyAWiw33AnTTAS3dq36GP0IIIYTcfdeTSlEnUyM/rQL5aRWQBrkjclA7hMZKweHevUCCYRiIfdwg9nFDWE/d5xyVQoOy3BpDEovSHBlUdfbvNeUXal/q9bPfX0FZXg0k7d0Na638Oogh8jL/h2dCSMuwO5Bav349cnJyMHv2bCxYsMAQsACATCbDxo0bsX37dnz44Yd49913zdYREBCArKwss9P3CgsLLU77q2/cuHEYM2YMMjIyUFNTg/DwcPj6+mLKlCng8XgICwsz3Etf7530x8xN+yOEEELI3cGyLDLO3DQ6Vp5fi7N7riA/zQf3TOt8l1pmHl/IRWBnLwR21q3JYrUsqorrUJIjQ+kN3X/VpU1Lva5Ra1GWXwOthkVZbg3KcmsA6D7HuEsEt1Ovh4ohaSe6q8EmIa7G7kDq1KlT6Nu3L5YvX25yTiwWY8WKFbh06RJOnjxpsY7Y2FicPn0aSUlJ6Nu3r+G4QqFAWlqa0TFruFyu0Rqp4uJipKamol+/foZRpsjISAgEAly8eNHkev2x2NhYu+5HCCGEkOZ3M6vK4p5PYT19W7g1DcdwGHgHiuAdKELnvv4AAEWNCqX6UasbMpTl1UCj0oLvxoWXn+VZOHoVBbXQqs3PH6ytUKK2ogw5yWUAdBkLfUI8DBsG+4aKIXRv0bxihLgUu3+7ampq0KdPH6tl+vbta3Uz3gceeACfffYZtm3bZhQ07d69G3K53Cj1+Y0bN6BSqdC5s/W/Pmm1WqxevRoajQbPPvus4biHhwdGjBiBX375BWlpaYiOjjb0Y8+ePejYsSNl7COEEEJakTtHo/Q8/dzQPsK7hVvjGEIPPoKiJAiKkgAAtBotNDUsinKr7MrW16DU6yotiq9Wo/hqteGYp5+bYbNgv1AxPP3cKEsgIQ5idyDVqVMnQyY8S4qLixEeHm7xfFRUFJ544gns2LED8+fPx7Bhw5CdnY34+Hj079/fKJCaM2cO8vLykJ6ebjhWU1ODRx99FKNHj0ZISAiqq6tx+PBhXL58GS+++CIGDhxodL8lS5bg77//xty5czFnzhx4eHjg+++/R2FhIT777DPajJcQQghpJSpu1qIwu8rsuchBgW3mwz+Hy4FPB3fwvbh2lS9tQCBlTnVJHapL6nD13xIAutTr+umA0UPbg9NGvq+E3A12B1KzZs3CW2+9hdmzZxtGd+pLTU3FTz/9hDfffNNqPStWrEBwcDB27dqFU6dOQSqVYsaMGVi4cCE4HOvzevl8PqKjo3Ho0CEUFxdDJBKhe/fu+OKLLzBkyBCT8mFhYfjuu+/wv//9D59//jlUKhW6du2KL774AoMGDbK364QQQghpZhl/mt+SRODOMyR3cEV8ERdCdx4UtWqH1Keq0+BmZiWqS+rQdXiQQ+okxFVZDKTOnTtn9HVISAgGDRqERx99FJMmTULfvn3h5+eHkpISnDt3DgcOHMDQoUMRHBxs9YZcLhdz587F3LlzrZY7ceKEyTGBQID169dbve5OnTt3xieffNKgawghhBDScuTVStxIMp/Vt0v/gDaR9rux+k0KB/sQC1nZrdTrtzIEVhbJgSakXvezI9EFANRWKiH04IHLc92fASGWWAykZs6caXbqG8uy+P7777Fnzx6jYwBw/PhxnDhxAqmpqc3QVEIIIYS0RVlni6DVmEYFHC6DLgMC7kKLWheGYeDp6wZPXzd07KUbnVPWqW+nXr8hQ2muDGqF1u467ckYCABn915B6Q0ZpMHGSSxEnvxG9aW+oitVOHfgGgZP7wJJe/MbtdpThpC7xWIg9cILL9AaIkIIIYQ0K7VSg+xzxWbPhfXwhZu46R/Y2yKBGw/tunijXRddEg6tlkVVkfx2YJUjg6xMYfF6e/aw0mq0KMvVpV7Xp3PHGd05D6nQkHbdt4MY3oGiBq23KrpShT92ZEKj0uK3bem4f2F3kwyD9pQh5G6y+GpcsGBBS7aDEEIIIS7o2sVSKC2s/4kcRPs92ovDYSBp5w5JO3d06a8bxauTqVCac3s6YFleDbRqFjwBB16BIpt1VtyUQ6MyP8pVU65ATbkC1xN1UzJ5Ag58QsSGDIG+IR4QiMx/zKwfIAG6dVund2RgxLwYcLiM3WUIudsorCeEEELIXcFqWWRaSDLRrosXvANpKldTuIn5CI6RIjhGCkC3uW9FQS1qK5V2jR6V5tifMVCt1KLoShWKrtzOvOgVIDKMWvl1EEPsK0R+RrlRgAQAWg2LiptyXDx6A73Hh5kEUfXLJB69gV7jw+xuFyHNiQIpQgghhNwVBRmVqC41vwFv5OB2Ldyato/L4+im4oXaV74he1iZU1UkR1WRHFfO66Zu8oQcaJRasGaSZGhUWlz9pwQcLoPshGKzI2EalRZX/imBT6gYYXGtf4Nm0vY1KJBiWRZHjx7F6dOnUVhYCKVSaVKGYRhs27bNYQ0khBBCSNuU/qf5DXi9A0QI7OzVwq0hd+IJOBCIuFDKNQ6pz1YyDI1Ki+yEImhUltMRalRaJP2cQ4EUaRXsDqSUSiWeeuopJCQkgGVZMAxjyNYHwPA1JagghBBCiC0lOdUovlpt9lzk4ED6PNEK9JsUjr4PdkR1aZ1hnVXpDRmqis2PIjqCtSAKALh8DgZM6dRs9yekIewOpD7//HOcPXsWzz//PGbNmoWBAwdi/vz5mDZtGhISErBu3Tr06tUL77//fnO2lxBCCCFtQNLJXLPH3cQ8dKDRhlaD4TDw8hfBy1+ETn38AQCKWjXKcuslscitgVppf+p1d4kAihq1xUQWlnD5HAyZGYGAcBqtJK2D3YHUzz//jK5du2LhwoVGx/39/TF+/HjExcXhoYcewrZt22xutksIIYQQ11VbqUT2P+ZTnnfuH0ibv7ZyQnce2kdK0D5SAkCXCKKysBYlt0asSm/IUFNhuvxDb+CjnXAjuQxX/ymxO5iiIIq0RnYHUjdu3MCjjz5q+JphGKjVt9OVhoaGYvjw4fjhhx8okCKEEEKIRVlnC8FqTadwcXkMuvT3vwstIk3B4TKQBnlAGuSBiAG6lPXyaiVKb8gMwVV5fi20GhZcPgc+wR7w6+B5K7GE9TVRgC6I6jkulIIo0urYHUjxeDwIhULD1x4eHigrKzMqExQUhBMnTjiudYQQQghpU1QKKxvw9vKD0IM24G0LRJ4ChHTzQUg3HwC6JBHlBTWAEuBwOSi6UnUrO5/1IEp/7aXjeQjp5kMb8pJWxe6x83bt2qGw8PZeDx07dsTFixeNyqSmpsLb29thjSOEEEJI23LtQglUdeazwEXeQxvwtlVcPgd+HTzRpW+g2X2ibNFvyKvV2A68CGkpdgdSvXv3xoULFwxfjxo1ChkZGVi5ciVOnTqFtWvX4s8//0T//v2bpaGEEEIIcX6Bnb0Q3scPXJ5xVr72Ud7w8hfdpVaRlmJuQ1571N+0l5DWwu7x0QkTJqCgoAC5ubkICQnB7Nmzcfz4cezduxf79u0Dy7IICwvD0qVLm7O9hBBCCHFiXv4i9JsUjnsnR+DfX64jK6EIiho1ogbRBrxtXdGVKpxuRBClp9+015c25CWthN2B1IABAzBgwADD1yKRCN999x2OHz+O69evIyQkBCNGjIBIRH9NIoQQQoh1Ik8Buo0MRtSQ9ihIq4B/uOfdbhJpZucOXIPaRhDF5XOsBlq0IS9pTZq0Yo/H42Hs2LGOagshhBBCXAyPz0Fod5+73QzSAgZP74I/4jOgqFWbXeukz8536XgeVHUai2UGTKYNeUnr0OiNGmQyGQoKCiCTyRzZHkIIIYQQ0gZJ2rvj0ZX9IA1yB5dv/BFUv09U534BuH9hd8tlZkQgoBOlQSetQ4NGpJRKJb788kvs3bsXeXl5huPBwcGYPHky5s2bB4FA4PBGEkIIIYQQ5+fmwceIeTFIPHoDV25tyHvnZrtCdx5GzIvBxaM3DJv2UhBFWiO7AymZTIY5c+bg8uXLYBgG7du3h7+/P4qLi5Gfn4+NGzfixIkT2Lp1Kzw8PJqzzYQQQgghxElxuAx6jQ+DT6gYST/nYMCUTiab7XK4DHqPD4OvvszkThREkVbH7kBq06ZNuHTpEsaMGYOXX34ZoaGhhnM5OTl4//338csvv2DTpk1YtmxZszSWEEIIIYS0DWFxvjaTRthThpC7xe41UkePHkVMTAw2btxoFEQBQGhoKDZu3Ijo6Gj89NNPDm8kIYQQQpyTrSxthBDirOwOpMrLy3HvvfdaPM8wDO69915UVFQ4ol2EEEIIcXJaDYufN13CnzuzUHKDklMRQtoWu6f2BQcHo6qqymqZ6upqBAcHN7lRhBBCCHF+eSnlqClXoKZcgdzL5fAN9UDkoHYIjpHe7aYRQkiT2T0iNXXqVBw9ehQ3b940ez4/Px8//fQTpk6d6rDGEUIIIcQ5sSyL9D+NPzOU5tTgr13Z+Gt39l1qFSGEOI7FEan8/Hyjr0ePHo1z587h4YcfxuzZs9G3b1/4+fmhpKQE586dw/bt29GvXz+MGjWq2RtNCCGEkNat9IYMZbk1Zs+FxtKIFCHE+VkMpEaOHAmGYUyOsyyLDRs2mD1+/PhxnDx5EikpKY5tJSGEEEKcSvqfhWaPu3sLENLVp4VbQwghjmcxkJo0aZLZQIoQQgghxBpZWR3yUsvNnou4JxAcLn2+IIQ4P4uB1H//+9+WbAchhBBC2oiMvwoB1vQ4T8hBeB+/lm8QIYQ0A7uTTRBCCCGE2KKUq3Ht3xKz5zr18YfAze6EwYQQ0qo16t3s5s2bSElJQVVVFTw9PdGtWze0a9fO0W0jhBBCiJPJPlcMtdJ0E16GASIGBt6FFhFCSPNoUCCVl5eHVatW4c8//zQ5N2jQILz11lsICQlxWOMIIYQQ4jw0ai2y/jafZCKkmxQeUmELt4gQQpqP3YFUcXExHn/8cRQWFiI4OBj9+vWDv78/iouLcf78eZw5cwaPP/449u7dC39//+ZsMyGEEEJaodzL5ZBXq8yeixxEM1cIIW2L3YHUxx9/jMLCQixduhT/+c9/wOVyDec0Gg22bt2KDz74AJ988glWrVrVLI0lhBBCSOvEsizSz9w0e863gxi+oeIWbhEhhDQvu5NN/Pbbbxg8eDCefPJJoyAKALhcLubNm4fBgwfj1KlTjm4jIYQQQlq54mvVqCioNXsuahCtjSKEtD0Nmto3ceJEq2ViY2ORkJBgtYxWq8X27duxc+dO5OXlwcfHB+PGjcPChQvh7u5usx01NTWIj4/HkSNHkJubC4FAgPDwcEydOhUPP/yw0d5Xy5Ytww8//GC2ng0bNuD++++3eT9CCCGE2JZxxvzaKA+pEEEx0hZuDSGEND+7AylPT0/k5eVZLZOfnw9PT0+rZdasWYP4+HiMHj0ac+fORXZ2NuLj45GSkoKtW7eCw7E8SKbVavHUU0/hwoULmDRpEmbMmAG5XI4jR45g+fLlyM7Oxssvv2xy3fvvv29yLC4uzmo7CSGEEGKfqmI58tMrzJ6LuCcQHA5twEsIaXvsDqT69OmDn3/+GY8//jh69+5tcj4xMRFHjx7F8OHDLdaRmZmJHTt2YMyYMdi0aZPheEhICFavXo0jR45YHfVKTEzEP//8g9mzZ2PFihWG448//jjGjRuHXbt2mQ2kHnroITt7SQghhJCGyvzL/GgU342L8N60AS8hpG2yO5B69tlncerUKcycORMPPPAABgwYAH9/f5SUlCAhIQFHjhwBwzB45plnLNZx+PBhsCyL2bNnGx2fOnUq1q1bh4MHD1oNpGQyGQAgICDA6LhAIIBUKoVSqTR7HcuyqKmpgbu7u9URL0IIIYQ0jKJGhWsXS82e69TXH3wh1+w5QghxdnYHUt26dcPGjRuxbNkyHDp0CIcPHzacY1kW3t7eWLNmDWJjYy3WcenSJXA4HJNpdUKhENHR0UhOTrbahri4OHh5eeGLL75AcHAwevToAblcjv379+Py5ct46623zF7Xp08f1NTUgM/no1+/fli8eDF69Ohhb9cJIYQQYkH2uWJoVGY24OUwtAEvIaRNY1iWZRtyQW1tLY4fP46UlBRUV1fD09MTMTExGDVqlM1kERMnTkRpaanZDX0XLVqEo0ePIjk5GQKBwGId58+fx8qVK3Ht2jXDMQ8PD7z//vsYNWqUUdn//e9/UKlU6NatG9zd3ZGWloZt27ZBLpfj888/x6BBg+zqs1arhUbToG+TCS6XA43G9EHjCqjvrtl3wLX7T313vr7z+faPnDjiuQA47/dKT6PS4ts3/ja7d1SXvgEYOTvG4rXO3vemoL67Zt8B1+6/s/bd2rPB7kBq+fLliIqKwpw5cxrdkFGjRkGtVptNkf7KK6/gwIEDOHfuHLy8vCzWkZKSgk8++QQhISHo3bs3Kioq8O233+LKlSv4+OOPMXjwYKttuHbtGiZNmoSAgAAcO3bMrnarVBpUVJhP6WovicS9yXU4K+q7a/YdcO3+U9+dr+/+/taTJdXniOcC4LzfK72r/xbj3A/XzJ4b9WxX+AR7WLzW2fveFNR31+w74Nr9d9a+W3s22L1g6PDhwygtNT8H2l4ikcjiOiaFQgEAcHNzs3h9eno6pk+fjkGDBuHVV1/F6NGj8eijj+Lbb7+Fn58fXn/9dWg0Gqtt6NixI8aNG4fr16/j6tWrje8MIYQQ4uJ8gsXo2MsXHK5xVj7/jp5WgyhCCGkL7A6kgoODmxxIBQQEoLy83GwwVVhYCKlUanVa39atW6FQKEz2fxKJRBg+fDjy8vJspmgHdH0BgPLy8gb2gBBCCCF63oEi9H+kE8YviUPMsPYQiHRTYCJpA15CiAuwO5CaMGECfv/9d1RWVjb6ZrGxsdBqtUhKSjI6rlAokJaWZjVRBQAUFRUB0M1Nv5NarTb6vzX69VV+fpSSlRBCCGkqkacA3UeFYMLSHuj3cDiCoiR3u0mEENLs7A6knnnmGcTGxmLWrFk4efIkSkpKGnyzBx54AAzDYNu2bUbHd+/eDblcbpT6/MaNG8jOzjYq17lzZwDAvn37jI5XVVXh+PHj8Pb2RlhYGABdUgz9dMH6UlJScPToUXTu3BkdOnRocB8IIYQQYh5PoNs3iqENeAkhLsDu9Of6lOUsy+L555+3WI5hGKSkpJg9FxUVhSeeeAI7duzA/PnzMWzYMGRnZyM+Ph79+/c3CqTmzJmDvLw8pKenG47Nnj0bBw4cwLp165CRkYHevXujsrISu3fvRnFxMVatWgUuVzet4Pr163jqqadw3333oWPHjhCJREhLS8PevXvB5XLx9ttv29t1QgghhBBCCDFidyDVt29fh9xwxYoVCA4Oxq5du3Dq1ClIpVLMmDEDCxcutLlZbnBwML7//nts2bIFf/31F3788UcIhULExMRg2bJlGDNmjKGsn58f7rnnHpw9exaHDh2CQqGAv78/HnjgATz99NOG0S1CCCGEEEIIaagG7yPliij9edNQ312z74Br95/67nx9p/TnLYv6Tn13Ra7c/+buu/Lf85C9/y68Vq8Fr0tko8vcySHpzwkhhBBCCCGktVH+ex5Vr7wEbV4eKl9aCG1lRaPKNFSjAimVSoW0tDScP38eaWlpUKlMdzQnhBBCSNuiUZtmzSWEkLtJHyBBUQcAYKurULVsCdh6mbztKdMYdq+RAnT7Lq1btw6HDx82yognFAoxYcIEvPTSS/Dx8WlSgwghhBDS+rBaFr9+mgLvABEiB7ejDXcJIXfdnQESAECthjozEzWbP4J48VLrZbZsgHjRkkbf3+5AqqSkBI899hhycnLg6emJ7t27w9/fH8XFxUhLS8OePXtw9uxZfPfdd7Q/EyGEENLG3MyqRGWhHJWFctxILoNfmBhRg9uhfZQEHEp3TghpYWYDJD1FHeoOHwT4fNT9sNdymUP7wesWC7dRYxvVBrun9q1fvx45OTmYPXs2Tp48ifj4eKxfvx7x8fE4efIkZs2ahZycHHz44YeNagghhBBCWq/0M4UAAEl5Bgb+/QbqLqfhzLdZOPNtpklZ5b/nUTb9YaizMlq6mYQQFyF7/13zAZKeos5yEGUoo0Dtlo2NboPdgdSpU6fQt29fLF++HGKx2OicWCzGihUr0Lt3b5w8ebLRjSGEEEJI61NeUIuiK1WQlGegR/InENWVoEfiZvBUMgRHS43KNseCbkIIuZPXO2vBSKUAn2+5kLUgCgCEbhCvavzesnYHUjU1NejTp4/VMn379kVtrWumdCSEEELaqow/bxqCKK5WCQYAX12Lnpc/Q2ist6Fccy3oJoSQO/EiIiGN3wVeZLT1YMoSoRu8PvgQgl7W4xtr7A6kOnXqhKKiIqtliouLER4e3ujGEEIIIaR1kVcpUf3bX4YgSo/DaiCuyYPiU920GFsLugkhxNE43hJ4b/4M3C4RDbvQAUEU0IBAatasWfjpp5+QlpZm9nxqaip++uknzJ49u0kNIoQQQkjrcX3ncXRPNA6i9DgqBeoOH4Rsywbri74P7Ufdrz+3QGsJIW0JqzR937kTw+PB4+nn7a9U6AaPBYubHEQBDcjaFxISgkGDBuHRRx/FpEmT0LdvX/j5+aGkpATnzp3DgQMHMHToUAQHB+PcuXNG1/br16/JDSWEEEJIy1IrNfDYuxkcM0GUgaIOdXt3A9b2lLy1oLuxmbEIIa5BW10N9aUkqBIvQpV0Eeq0FEh3/QCuf4D1C5UN2NNWUYfaLz+DcPhIcLwlTWqv3YHUzJkzwTAMWJbF999/jz179hjOsSwLADhx4gROnDhhcm1qamqTGkkIIYSQlnftQikyYuahZ9IW8NS14LAa8wWtBVFAkxd0E0LaJm1JCVRJFwyBkyY7C7gVV+ipEy+CO2qMxTqU/55H1arlDbovW12NqmVL4L3pMzC8Bm2ra8TuK1944QUwDO0TQQghhLgCVssi48+bkHmG4u/+r6FH8qcQy/LMTvGzykFrEQghzo1lWWhuXIcq6aIhcNLm59m8TpV0EUILgZTVvaSsuWPT3sayO5BasGBBo29CCCGEEOeSn14BWZkCAKDmi/FvzxfRJWsPgvNPgwOtfZVQEEWIy2I1GmiyMg2BU/mlRGhKSxtcjyrxotnjjQ6i9BR1qDt8ALzY7o2edtz4sSxCCCGEtFkZfxYafc0yHDDQNiiIctSCbkJI68cqFFCnXjYETupLyWBra5pcr+ZqNrTVVeB4ehkdt7khLwAI3ezakLexgZTdWfsIIYQQ0vakn7mJ7984h5zkMsOxsrwaFF+rvl2IZdElex9C8k/bX/GtBd20IS8hrqF265eoXPAsav/vU6gS/nZIEAUAjKcnNLm5Jse9Vq8FI/WxvIfUrT/mWN20V+gG8etvNbptFEgRQgghLir9zE0kHs0BqwX+2p2N6hLdX24zztw0Khd+7TA65Jomk7JFv6CbNuQlpO3jx/VwSD2cgEAIR4+Fx5JXIdn+HXwOHQM/pqtJOV6XSEjjd4IXFQ24uRmfvDWtWPTQI7c37TVX5v31EPTu2+i20tQ+QgghxAXpg6j6fvnkMkY91w05l2+PToVdP4bw60cbdxMHLegmhLQslmWhzc0xTNPzeG4+OFIfq9fwYuMAhjHJumcLNywc/B49wYvrCX6PnuC2a2/3tRxvCbw3fYaaLRtQd+iAbhrfHWsz9Zv21mz+CHWHD94u08QgCqBAihBCCHE55oIoAFArtTjxf6lgby2DCsk9ic5XDzTtZg5Y0E0IaV6sRgNNdtatwOkCVEkXwZbd/oOKYNC9EA4fabUOjqcnuJ27QJOVabkQlwteZLQucOreA/y4nuBIJE1qO8PjQbxoCXjdYlG7ZSPEq942WZvJ8HgQL14KXmx3XZnX32pyEAVQIEUIIYS4FEtBlJ6yVjcNr33+GURm7bFYzgiHA2itJKGgDXkJaVWMEkMkJUJ9KQlsjeU1TaqkizYDKQDgx/U0DqSEQvC7dQevR09IBw2EIiwCjEjkiC6YcBs11uZ7jD1lGoICKUIIIcSFJB2zHETpBRYmIDrjO/sqFLrB/ennULtlg+VgisOB+LU37W8kIcShtDIZ1MmJhv2b1GkptjfSrsdSCvI7CfoPhLaoUDdNL64HeJHRYG4lenCXuENZUduY5rdaFEgRQgghLmTAlE74e/cVi+f9ii8iJjUeDOxY51BvLQIvMgpVC58zvz5Cq4Xm6hWgT78mtJwQYi9tSQlUSRcMgZMmO6vBa5fq02RlQFsjA8dDbLWcYPAQCAYPafR9nI3dgdT+/fvtrnTSpEmNaAohhBBCmluH7r6QtvfAL59chlppPILkU3oZsSlfWdwrSs3wwTAAV6syWdAt6NkbHq+sRM3a1WavrdmyAbyYruB36+7YDhFCDBTHf0HN/30CbZ5puvAm0WqhvpQMwYB7HFuvk7M7kFq2bBkYhrFahmVZMAxDgRQhhBDSinn6ueHBV3vh+OcpqCyUAwAk5Rnofvn/wGE1Zq9R8jxwoedidI2og/cv280u6BZNeBDqy8lQHDaToEKtRvWq5ZB8EQ+OVOrwPhFCAPD5jguiuFzwIqNuTdPrCR79EcSE3YHUe++9Z/Z4VVUVkpOT8eOPP2LMmDEYPny4o9pGCCGEkGbCE3Awdn4sjn1yGdrUS4hL/kQ30mSGiivCxR7z4TsoFuGPdgaen2axXvHipVCnp0GTmW5yTltUhOp3VsHrg48c1Q1C2jx9YghuRKTNqXX8uJ6Nv1G9xBD8uJ7gd40F4+7e+PpcgN2B1MMPP2z1/OTJk/H0009j5syZTW4UIYQQQppf+pmb0KSnoVfSFvC0SrNl1BwBEuOeh8yzA2RJZeg2Ihiefm5mywIAIxTCa/V/UTFvJliZzOS86txZ1G77EtKXFjuqG4S0KZYSQ3j+dx2ENtYfcSQScMPCobl+1eZ9GC8v3UiTfsQpKhoMj9InNITDvlv33HMPhgwZgo0bN2L79u2OqpYQQgghzSD9zE1k7TmL3ombwdPUmS2j4fCR1P05VHl3Mhz75ZPLePDVXuAJOBbr5gYFQ7zyTVQvN78Jr3zrl6gZ0A/o1qtpnSCkDbA3MYQ68YLNQAoA+D16mg2kOAGBxhvfhoWD4Vj+PSa2OTTs7NixI3bu3OnIKgkhhBDiYOlnbiJj33n0TtwIvtr83jFahovkbk+hQhppdFyt1OL45ykYOz/W6j2E9w6F+vGZkH8bb3qSZVG47FV4f7Ed3MB2je4HIc6GZVlocm7c2vhWFzjZu6ZJlXTRrnK8uJ7AwR/ADQs3DpzatW98w4lZDg2ksrOzbSakIIQQQsjdk37mJtJ/uIjeiRshVFWbLaMFB5e7zkWZbzez5ysL5fjn8DX0mdDR6r3cn3oOqpTLUF/81/QeFRWoXrUC3ps/M+wzQ0hbw2o00GRn3QqcLqA8ORGa0tJG1aVOSwVbVwfGzfLUWgAQDhkGwaFj4EgkjboPsV+TAymtVouCggLs3r0bv//+O4YOHeqIdhFCCCGkGaQdSkbvxA1wU1SYPc+CQWrMLBT797RaT3ZCsc1AiuHx4PXmapTPnQm2zPTDozrlEmq2bIB4sfkpgIQ4I03ODShOHtetb7qUBLbG/KhvwyvWQJV62SRb5p0Yd3dKEtFC7A6koqOjrY42sSwLiUSCV155xSENI4QQQohjacvLcE/Wp+DUWf6LeFrkY6jpei9QqrBaV4+xoXbdk+PrB68330Xliy8AGtPU6nV7d4MfGwfhqDF21UdIa6fOykDt/33i0DoZTy/w43rQ6G0rY3cg1a+f+d3IORwOvL290b17d0yePBk+Pj4OaxwhhBBCHENbVYnKF+eDU5hjsUxGlykoCBqM8bOjoNWwZjftBYAe94ciarD9a5v4vXrD/annUPvpZrPnq99/F9wuEeB1DLe7TkLuBv2eqdY0KQX5LZQYwjnYHUjFx5tZLEoIIYSQVk9bI0PV0kW6bGAWZIc/hNyQEegQ5wMPqRAATDbtBRoeROmJHp8J9aUkKE//bnpSLkf168sg+exrmpJEWg2WZaHNzTFKDCF+8WUIBtxj9TqOrx84IaHQ5lr+o8WdKDGEc6Jk8YQQQkgbxsrlqHrlRahTUyyWuRp2P66H6abWRQ+5/QFOv2nvP4evITuhGD3GNi6IAgCGYSBe8QYqnpwFbX6eyXnNtauQ/e+/EL/+FiWuInfFnYkhVEkXwZaVGZVRJV20GUgBulEphaVAissFLzLKsH8TP64nJYZwUhRIEUIIIW0Uq1CgasXLUCclWixzI2QkrnacAABoH+kNSTvTEaE+EzraTCxhD46nJ7ze+S8qnpsHKE03AFb8chS87nEQPTylyfcixBZWoYA6LeX2xrd2JIZQJV60q25+XE8ofjyk+0IoBL9bLHhxvSAdNACKsAgaeW0jGhxIJSUl4fTp0ygsLITSzJsgwzBYs2aNQxpHCCGEkMZhVSpUrVoO1fkEi2Vyg+5FVudHgFsjQPVHo5oLLzIK4sVLIXvf/GeFmk0fghfdFfyYrs3eFuJatDIZ1JeSbgVOF3SjtCpVg+pQp14Gq1SCEQisluP37Q/35xboputFRhuSRLhL3KGsqG10H0jrYncgxbIsli1bhoMHDxoW2rH1dl3Wf20rkNJqtdi+fTt27tyJvLw8+Pj4YNy4cVi4cCHc7YjOa2pqEB8fjyNHjiA3NxcCgQDh4eGYOnUqHn74YZPpAImJifjwww+RmJgIhmHQq1cvLF26FDExMfZ2nRBCCHEqrFqN6ndWQfXnaYtlCgIHICNimiGI8g31gF+YuEXaJ5zwEJj0FFQf2G96UqXSrZf6cjs43pIWaQ9pm7SlJUbrmzTZWYDWNHlKgyiVUKelgh/Xw2oxbmAg3B+f2bR7kVbP7vQfO3bswIEDB/DQQw9h7969YFkWs2fPxs6dO/HSSy/Bw8MD48ePx6+//mq1njVr1uC9995Dly5d8Prrr+P+++9HfHw8nn32WWhtvLi1Wi2eeuopbNiwAbGxsVi2bBmee+45aDQaLF++HP/73/+Myl+8eBEzZsxAbm4uFi1ahIULF+L69et4/PHHkZ6ebm/XCSGEEKfBarWQrV0N5cnjFssU+vdCWtQTAHP7Y0D0kPYttjaJYRj4r1wJbucuZs9rC2+ievWbYJv6oZe4LMXvJ1E26QFUr1qBur27ocnMaHoQdYv6iuWkLcS12D0i9cMPPyA8PBz//e9/Dcc8PT3Rs2dP9OzZE/feey+mTp2KQYMGYfLkyWbryMzMxI4dOzBmzBhs2rTJcDwkJASrV6/GkSNHMHHiRIttSExMxD///IPZs2djxYoVhuOPP/44xo0bh127duHll182HF+9ejX4fD6++eYbBAYGAgDGjRuHcePGYe3atfjqq6/s7T4hhBDS6rEsi5r170Nx9EeLZUp8Y5ESMwcsh2s45uXvhqAoSQu08DaOSKRbL/XUbLPrUlR//wn5jq1wnzW3RdtF2gZelINmHlFiCGKF3SNSV69excCBA42OaeptrNe1a1eMGDEC3377rcU6Dh8+bBjJqm/q1KkQiUQ4ePCg1TbIZDIAQEBAgNFxgUAAqVQKkUhkOHb9+nUkJyfj/vvvNwRRABAYGIj7778ff/75J4qLi63ejxBCCHEWLMuiZssG1B3YZ7FMmTQal7o+CZZj/HfU6CHtwXBaPlMeN7QDxMtXWTxf++XnUFpZ40VcB6tQQJV4AbXbv4Y6M8NmeW5gO3ACG5FhUigEv3cfiOY8Ca8PN8P3x+OQfL4V4vmLIRw6nIIoYqRBySY8PT0N/xaJRKisrDQ6HxYWhtOnLc/HvnTpEjgcDuLi4oyOC4VCREdHIzk52er94+Li4OXlhS+++ALBwcHo0aMH5HI59u/fj8uXL+Ott94ylNXX1atXL5N6evbsib179+Ly5csYPny41XsSQgghzqD2y89Rt8vyHzNrAyORFPk0tFy+0XGRFx+h3X2au3kWCYeNgGra4+bbrtWi+q3XIfkqHlz/ANPzpM2ymhhCowYvItJmHfy4nlD8ctRqGcbLC/y4noYRJ15klCExBCG22B1IBQQEoLCw0PB1aGgoLl++bFTm+vXrVhNGFBUVQSqVQmAm00lgYCAuXLgApVJp9jwAeHt745NPPsHKlSuxePFiw3EPDw9s2rQJo0aNMrqXvt3m7gXAqD/WcLkMJJKmpankcjlNrsNZUd9ds++Aa/ef+t62++6I54KuHsd8r8q//BLybV9avk9EDM4FzoOWKzQ513NUB/j6tUySCaM21eu796svIy8jFXUXLpiUYyvKIX/ndQR/+VWb+YDrCr8jlljqu7q4GPJ//kHdv/9CfuFfKNPTgXpJzepjLyfb9f1jBvZH8R2BFK9dO7j17gNRn95w690Hgk6dwHDsnqDVZPSzb1t9tzuQiouLMwqchg4dii+//BJbtmzBmDFjkJCQgOPHj1sd4ZHL5RaDJKFQ9+ZeV1dnsQwAuLu7IzIyEiNHjkTv3r1RUVGBb7/9FkuWLMHHH3+MwYMHG+4FwGxd+mP6MrZoNCwqmpiqUiJxb3Idzor67pp9B1y7/9R35+u7v7+n7UK3OOK5ADjmeyXfsws1Gz60eJ7buQsyhr8ETabpliUCERftunrflZ/XnX0Xvf4OFPNmgS0vMylbd+EC8v77PsQLXmzJJjYbZ/0dcQSJxB3l5TXQ5uYYZdTT5uXaXYc88SLKS6rA8Kx/jFVHdAU3LFyXgjyuJ/g9eoLbTpfinwUgByCvqmtCbxrO1X/2zth3a88GuwOpsWPH4tKlS8jJyUFoaCiefPJJ/PTTT9i0aRM2b94MlmXh7e2NJUuWWKxDJBKhtLTU7DmFQgEAcHNzs3h9eno6pk+fjuXLl+Oxxx4zHJ8wYQImTJiA119/Hb/88gu4XK5hvZS5va70x+qvqSKEEEKcTd3hA6jZsM7ieW6HMPBWrcONreY/pHYZEAi+kGv2XEvj+gfA8413UPXSArPZ1ep2fwd+9x4QDh95F1pHmoLVaKDJzoIq6SLkKcmo/ecfsGXmPw/apa4O6ox08Lt2s1qMF94J0h27Gn8fQmywO5AaNWqU0dQ5iUSC/fv3Y/fu3bhx4waCg4MxadIks1Pp9AICApCVlWV2+l5hYaHFaX96W7duhUKhwP333290XCQSYfjw4dixYwfy8vLQoUMHQzv0U/zuvBcAoyQUhBBCiDOp++WoxU1tAYDTPgheH23Bxb9rzc6Q4vI5iBjYutYdCfr0g/u8Z1D7f5+YPS977x3wOnUGt0NYC7eMNIY6KxM1n26G+lKS2cyMTaFKumgzkCKkuTVpUqinpyfmzZuHt956C08//bTVIAoAYmNjodVqkZSUZHRcoVAgLS0NsbGxVq/XB0Xm9ptSq9VG/+/evTsA4IKZ+dYXL14EwzDo1o1+AQkhhDgfxe8nIXv3LYtrSDgBAfD+aAtUIimu/ltitkx4Hz8IPVrfmiPRjNng3zPY7Dm2tgZVry8HW9ey07FI4zBublCd/cthQRTj6QXB4CFwf24BBAMHOaROQpqi5VbXAXjggQfAMAy2bdtmdHz37t2Qy+VGe0jduHED2dnZRuU6d+4MANi3zzi1a1VVFY4fPw5vb2+Ehen+ShUWFobY2FgcPXrUKKlEYWEhjh49ioEDB8Lf39+h/SOEEEKam/LvP1H9xkqg3hYk9TE+PvD+cAu4QcHI/KsQWrVpsMVwgKjBjUgN3QIYDgeer70Jzq21LHfSXMmCbN1asBaCSNL8tKUl0JaX2yzHCQ4B4+Pb6PtwAgIhHD0WHktehWT7d/A5fAxe/10H98dngtcxvNH1EuIoDUp/rtVq8c033+DQoUPIzs6GXC5HSkoKACAlJQW7d+/G7NmzER5u/sUdFRWFJ554Ajt27MD8+fMxbNgwZGdnIz4+Hv379zcKpObMmYO8vDykp6cbjs2ePRsHDhzAunXrkJGRgd69e6OyshK7d+9GcXExVq1aBS739lzvlStXYtasWXjiiScwY8YMAMCOHTvAsiyWLVvWkK4TQgghd53ywj+oWvkqcGv2xZ0YLy9dENUhDKo6DbISTKe3A0CH7r7wkJhm8GstOF7e8HznPVQ+/9TtlNf1KI4eAT+uB9wmTmr5xrkYlmWhzcs1JIVQJV2ENjcH7s+8APcZs61eyzAM+D16QnnyuF33spQYgpDWyu5ASqlU4qmnnkJCQgK8vb3h4eGB2trbmTdCQkKwd+9e+Pj4YOHChRbrWbFiBYKDg7Fr1y6cOnUKUqkUM2bMwMKFC8GxkX4yODgY33//PbZs2YK//voLP/74I4RCIWJiYrBs2TKMGTPGqHzv3r0RHx+Pjz76CBs2bDAc27BhA6Kjo+3tOiGEEHLXqS4loerVlwClwux5xsMD3us3gddJN3sj+3wRVHXmR62i7m2do1H18aO7wmPhS6hZt9bsedlH/wMvMhq8KHqeO1L9xBCqxAtQJSWaTQyhSrwI2AikAN1eTmYDKS4XvMgow/5N/LietNktcTp2B1Jffvklzp49i/nz5+P555/Hli1b8PHHHxvOe3l5oV+/fjh9+rTVQIrL5WLu3LmYO3eu1fudOHHC7PEOHTpg7Vrzb6rm9OrVy2QqISGEEOJM1OlpqFq6CLC0bYdIBK8PNoAXFQMA0Ki1yPjT/F6J7SO9IWnnHHu5uD30CNTJSVAc+8n0pFKJqteXQfLldnA8vVq+cW0Eq1BAnZZiGHGyNzGE+lIiWI0GDNd61kd+j166fwiF4HeLhbh/P2iiYsHvGgvGyt6jhDgDuwOpQ4cOoXfv3pg/fz4A3XDtnUJCQiwGQIQQQghpOPWVbFQuWWD5w61AAK/3/gd+9zjDoeuJpairNp0SBwDRQ51nuhTDMBAvXQZ1Zjo0V6+YnNcW5EP27lvwXPNBi26q6sy0MhnUl5JuBU4XoE5NMTt90hZWJoPmajZ4XSKtluN26gzvT78ELzIaDJ/vtHsJEWKO3YFUbm4uhg0bZrWMt7c3Kisrm9woQgghhACanBuofPEFsJaerTwevFavhaBPP8MhrZZF+h83zRb37SCGf5j9Gw+3BoxIBM/Va1H55GywctMP4Mozf0D+XTzcn7A9zcwVaWtkUCX8bRhx0mRnmd2nqzFUiRdtBlIMlwt+t+4OuR8hrY3df74RCoWorq62WiY/Px9eXjS8TgghhDSVpiAflYtfAFtWZr4AhwPPN1ZDcEeq8PzUclSXmk8PHjPEeUaj6uN1CIN42UqL52s//wTKC/+0YIuch7a4GNWrVqBu725oMjMcFkRxwzqC4Vve+5MQV2D3iFR0dDTOnDljdjNdAKiursbp06fRq1cvhzaQEEIIcTWa4iJULn4B2iLz65zAMBCveAPC4SONDrMsizQLo1Fe/m5oH+nt6Ka2GOHI0VAlJ6Fuzy7Tk1otqt9cCemXO8Dx82v5xrVi3LCOYLwlYCsrmlDJHYkhuvcARyp1WBsJcVZ2j0hNmzYNBQUFWLp0KWQymdG5qqoqLFu2DFVVVXjssccc3khCCCHEVWjLy1D14nxo8/MslhEvXQ63seNMjhdfrUZZnvm1VNFD2oPhmK5vdiYezy8Er1us2XNsWRmq3lwJ1kJq+LaAVSigSryA2u1fo3LpIsj377V5DcMw4Mf1aNiNhELwe/eBaM6T8PpwM3x/PA7J51shnr8YwqHDKYgi5Ba7R6QmTJiAM2fO4IcffsCJEyfg7a37q9YjjzyCrKwsKJVKPPHEEzbXURFCCCHEPG1VJSpfWgDN9WsWy3gsfAluD04yey71jwKzx929BegQ5+OAFt5dDJ8Pz7feQ8W8mWZHWNSJF1D7f5/A47kFLd+4ZmArMQTD50M0abLNevhxPaH84zeL5xlPL/Djehj2b9InhiCEWNegDXnfe+899OvXD9u3b0d6ejpYlkVKSgoiIiIwZ84cTJ5s+5eZEEIIIaa0NTJULV0ETVamxTLuTz8P0aPTzZ4rz69BYVaV2XORgwPB4baNrHbcwEB4rnpblw6eZU3Oy7+NBy82DsIhzveHXW1pya39m24lhsjKNNtHPVVyIlit1mbGQl4P42UXnIAA8OP0G9/2ArdjOGU9JKQRGhRIAboRqEceeQR1dXWorKyEp6cn3GkfAEIIIcQq5b/nIXv/XXitXmuS6YyVy1H16ku6EQcLRLP+A/eZcyyet7Q2SiDiolMf/0a1ubUS9B8I9/88idqv/s/sedmat8D7Yju4wSEt3DL7sSwLbV6uIWhSJV2ENjenYXVUVkJz/Rp44Z2sluNFRMJt0mTwYuPA79ET3HbOmXSEkNbG7kDq3LlzCA4ORlBQEADAzc0Nbm5uRmUKCgqQm5uLfv36mauCEEIIcUnKf8+j6pWXAEUdKl9aCGn8TnC8JQB0616qVr4CdeJFi9e7PTod7k8+a/G8rKwOuZfNZ/frMjAQPIH1TVOdkWj2PKguJUOV8LfJOVYm023W+8kXYIRuZq5ueaxGA012FlRJFyFPSUbtP/+ALSttcr2qpIs2AymGx4N4yatNvhchxJjd47izZs3Cvn37rJbZv38/Zs2a1eRGEUIIIW1F/SAKANjqKlQtWwJWrQarUqH6jRVQnTtr8Xq3Bx+Gx4IXwTCWE0Wkn75pdgYYl89BxICAJvehNWI4HHi+/jY4AYFmz2syMyD7aF0Lt8o8TX4eysaPQsW8majZsA41vxxzSBAFAOpLSQ6phxDScHaPSLFW5ujWL2PtjZ4QQghxJXcGUQAAtRrqzEzINn0IRU0VlGf+sHg9p0MYPJa8avXZKq9W4eqFErPnOvXxg9Cj7SYN4Egk8Hz7PVTOfxowk61PcfgA+N17wO2BCXehdbdxAts5rC5ziSEIIXdHg9dIWZOfnw8PDw9HVkkIIYQ4JbNBlJ6iDor9+6DQaqzWoS28CcWJX+A2aqzFMpl/F0KrNv1jJ8NhEDnYcR/gWyt+t1h4zF+Mmo/+Z/a87L23oa0og/vj5mfM1O76BrWfbIbnqrchHDna7vvqE0NwJD7g9+pttSzD5YLXvQdUf/9pd/16nIBAXcDUvQclhiCklbEaSG3evNno64SEBJNjAKDValFQUIAjR46gT58+jm0hIYQQ4oRk779rPojSsxFEAQAUCtRu2WgxkFLVaZCdUGT2XIfuPvCQCO1pqtNze+RRqJKToDx+zOz52k82g9enHwRRMcbHd32D2s0bAADVb74GbkQUeKEdTK63lhhCMHykzUAK0KUgtyeQ4oaF6wKnWyNOlBiCkNbL7kCKYRgkJCQgISHBYvnAwEAsWbLEca0jhBBCnJTXO2tRuWQBWJnMaO+fBhG6QbzqbYuns88XQVVnPiCLHtL2R6P0GIaB5ysrUJGVYXEPrqqn/wPpzyfBdRMBMA6iAAAsi4p5M+Fz6GcwPL4hMYQq8QJUSYkW1zSpkhLtWtrA79HT9CCXC15klC5oiusJfvcetNktIU7EaiC1fft2ALq/xMyePRsPP/wwHn74YZNyHA4HUqkU4eHh4NBwMyGEEAJeRCSk8btQ9eoSqLMzgToro1PmCN3g9cGHEPQyP9NDo9Yi489Cs+faR3nDO9C1tiZh3N3h+c5/UfGfJwCNmeBSq0XF9Mnw3f+jaRClJ5ejbOL9YDgM2Joau+7LlpVCm5cLbkio1XK86K5gPL3Ai4iAuH8/aKJiwe8aC4a2kCHEaVkNpPr372/498MPP4xRo0YZHSOEEEKIZRxvCbw3f4aazR+h7vBB61P96rMRRAHA9YulqKs2P9IVM8Q1p4MpE/4yH0TdwpaWoOyJR6G9cd1yJfJa2E6vZUyVeNFmIMUIBLrRLi4XEok7KipqG3gXQkhrY3eyiffee68520EIIYS0SQyPB/HipQCfj7q9u21P8xO6wWPBYqtBlFbLIu10gdlzfh3E8AvzbEqTnVbtJ6bruO9kNYhqJFXSRbiNn2izHMNte/t5EeLKaB4eIYQQ0syU/55H3Q977VsrpahD7ZefQVtZYbFIfmo5ZKUKs+eih7rmaBQAiF9/G2jBbVi4YR0hnDgJgqHDW+yehJDWo0Hpz4uKivDJJ5/g9OnTKCwshMrMA4FhGKSkpDisgYQQQogzs5oG3QK2uhpVy5bAe9NnYHjGj2qWZZH6h/nRKK8AEdpHeDepvc7M7b7R4EVGoWLeTEAud2zllBiCEHIHuwOpwsJCTJkyBaWlpejSpQuUSiWCgoIgEAiQm5sLtVqNmJgYiMXi5mwvIYQQ4jQaE0QBMGzaW7P5I920wHqKrlajPM/8+proIe3AcFpuRKY14oV2gM+hn1H5zFxosrMaX5FQCH63WPDieoHfoyclhiCEmLA7kNqyZQtKSkrw5ZdfYtCgQYiOjsYjjzyC+fPn4+bNm3jttdeQl5eHrVu3NmNzCSGEEOfQ6CBKT1GHusMHwIvtbrSPVNrv5kej3L0F6NDdp3H3amM4QjdIt36L8idnQ5Oeat9FPB4EA+4x7N/Ei4wGw+c3b0MJIU7N7jVSp0+fxpAhQzBo0CCTc+3atcOGDRugUCiwadMmhzaQEEIIcUY2N+QFwLi5Wa/k1oa8emV5NSjMrjJbNHJwO3C4tPRZr3bXN/YHUQCg0cD9hUVwf3wm+N26UxBFCLHJ7nfc4uJidOnSxfA1l8uFQnF7oauHhwcGDRqE48ePO7aFhBBCiBPyWr0WjNQHsPSBXOgGv5dfASOVWi0jfv0tw5fpFjL1Cdx56NTHr6lNbjMs7hNlza0NebWNHUEkhLgcuwMpsVhslFzCy8sLhYXGGwF6enqirKzMca0jhBBCnBSvSySk8TvBi4oG7hx5urVPlPfUqZDG7wIv0kKZ99dD0LsvAKC6tA65l8vN3itiQAB4AkqtDTQyiNKTy1H5zFzHNogQ0mbZHUgFBQXh5s2bhq+jo6Px999/Q34rK45Wq8Xp06fRrl07x7eSEEIIcUIcbwm8N30GtwkPAcJbgdIdm+3qN+11G/+gcZl6QRQApJ+5CdbMTrFcPgddBgY2d1ecQpOCqFs02Vmo/vADB7WIENKW2R1I3XPPPTh79qxhVGrSpEkoKirC9OnTsXbtWjz22GPIysrCuHHjmq2xhBBCiLNheDyIFy2BeNlKcPz8jYIoozKLl94uc0cQJa9W4dqFErP1d+rrD6F7g3YzabPs2ZDXHor9ex1SDyGkbbP7nXfKlCnw8vJCeXk5AgIC8NBDD+Hy5cvYsWMH0tPTAQDjx4/Hc88912yNJYQQQpyV26ixRtn3GlIm86+b0KpNh6MYDoPIQTQapee56m1Uv/kazA7d3SIYPRbKX49ZLeP+/ILmaB4hpI2xO5Dq2LEjnn76aaNjK1aswLPPPoucnBwEBwfDz48WuhJCCCGOpKxTIzuh2Oy5DnE+8JAIW7hFrZdw5GhwIyxvyOu+4EW4T30M6v88ZbnM/EVwn/ZESzSXEOLkmpwn1cfHBz169KAgihBCCGkGV84VQ6XQmD0XfW/7Fm5N66ffkJfbJcLouD6IMirTuYtxGQqiCCENQJOqCSGEkFZKo9Ii489Cs+eCoiTwDhS1cIucA0foBunX36D6ww+g2L9Xtz/UrSDKqMzWb2+XeX6BywVRcnkNZLIKaDTqFrtnYSED1sq0yrbOlfvf2vrO5fIgFksgEnk0ug6LgdTy5csbVSHDMFizZk2jG0QIIYQQnWuJpaiTqcyeix5KWXJt8XzxZXi++HKTy7RFcnkNqqvLIZH4g88XgGGYFrkvl8uBRqNtkXu1Rq7c/9bUd5ZloVIpUVGhmzbd2GDKYiD1ww8/NKpCCqQIIYSQptNqWaT/YX4DXr8wMfw6eLZwi0hbIpNVQCLxh0BAa+yI62EYBgKBEBKJPyorSxwfSB0/frzRjSOEEEJI0+SllENWpjB7LnoIrY0iTaPRqMHnC+52Mwi5q/h8QZOmtloMpIKDgxtdKSGEEEIaj2VZpFkYjfIOEKF9pHcLt4i0RS01nY84F+W/5yF7/114rV4LXpfIRpdxBk39HbAr2UR+fj6Sk5PBMAy6d++O9u0b/5cwrVaL7du3Y+fOncjLy4OPjw/GjRuHhQsXwt3d3eq1mzZtwubNljfb4/F4uHz5sl3lX3nlFcybN69xnSCEEEKaUdGVapTn15o9Fz2kHX0AJoQ0C+W/51H1ykuAog6VLy2ENH4nON6SBpdxFTYDqbVr12Lbtm2GLBsMw2D27Nl49dVXG3XDNWvWID4+HqNHj8bcuXORnZ2N+Ph4pKSkYOvWreBwLGdkHz16NDp06GByPD09HV9++SVGjBhh9rrly5dDKpUaHYuNjW1U+wkhhJDmZmk0yt1bgNDuPi3cGkKIK6gfIAEAW12FqmVL4L3pMzA8nt1lXInVHh8+fBhff/01GIZBp06dwLIsrl69iq1bt6Jbt26YMGFCg26WmZmJHTt2YMyYMdi0aZPheEhICFavXo0jR45g4sSJFq+Pjo5GdHS0yfFVq1YBAKZMmWL2ulGjRiEkJKRBbSWEEELuhrK8GhRmV5k9F3VvO3C4Td4CkpA27dKlJOza9S2Ski6isrIC7u4eiIyMwtixD+D//u8TFBWZ31KgvtOnz+PHHw9hzZq3DMd4PB4CAgJx331jMGfOkxAKbyfq+Pff81i48Fl8+OEW9Os3oFn61ZzuDJAAAGo11JmZqNn8EcSLl1ovs2UDxIuWNEvb7vw5iETuCAoKxoMPTsJDD00Gj8fDu+++iZ9+Omxy7aOPPoZFzdQuwEYg9f3334PH4+GLL77AwIEDAQB//vknnnrqKezZs6fBgdThw4fBsixmz55tdHzq1KlYt24dDh48aDWQMqe2thZHjhxBu3btMGTIEIvlZDIZ3NzcwHPBaJkQQojzsDQaJXTnIby3Xwu3hhDnsnv3t9i06UP07t0Pzz23AO3atUd1dRUSEs7if/97D088MRv9+99jKL9+/X+h0Wjx8ssrLNb5zjv/hb9/IOTyGvz22ynEx3+N2toavPjiKy3RpWZnNkDSU9Sh7vBBgM9H3Q97LZc5tB+8brFwGzW22dqp/znU1tbg5Mlf8eGHH6C8vBxPPvksAEAikeK//11vdI2fX/O+Z1qNKtLT0zFy5EhDEAUAgwYNwn333YezZ882+GaXLl0Ch8NBXFyc0XGhUIjo6GgkJyc3uM6jR49CJpNh5syZ4HK5Zss8+OCDqKmpAZfLRVxcHJ577jkMGzaswfcihBBCmlN1aR1yU8rNnusyMAA8gfnnHCGOkpmZ0qz1M8ztTVlFIg+EhIQ5rO6LF//Fpk0fYvLkqVi82HhvsCFDhmP69Ccgl8vRpUuE4bi7uwc0Gg1iY7tbrDciIgohIaEAgH79BiI39waOHDmIRYuWWl2S4ixk779rPkDSU9RZDqIMZRSo3bKxWQOp+j+H/v0HIjc3B99//50hkOLz+VZ/js3BaiBVVVWFTp06mRwPDw/Hr7/+2uCbFRUVQSqVQiAwTbcZGBiICxcuQKlUmj1vyZ49e8AwDCZPnmxyztPTE9OmTUOvXr3g5eWFq1evYtu2bXjmmWewZs0aPPLII3bdg8tlIJFYT4Rhuw5Ok+twVtR31+w74Nr9p7637b474rmgq8f4e5V0NBdgTcvxBBz0GdMRbh78Jt+ztXCF14klraHvhYUMuGamidbUVLdYG/6/vTsPa+Ja/wD+TcK+KCiLikDVGlYtoOJSFVFQxJXiLu5Yta7X2p/23tYuttZe1xa6aNtbEbQq7kXFHay3VRARVAQUBBQFVDYhEEIyvz+8mRKTQAIEMHk/z+Ojnjkzc96E8ObMnDmHw1Hchsbat28P2rVrj2XLVik8rqLn7DkcjtJ2cLkc9u+6252dXXD9egJevChHhw4vn1mUbudyuQ3G1Jwx14eRSFD5yy5UnzkN8eP8ph2svk7U/0iePcWzId4Kt/G62MFo1GiYLngXHDU7n8reB1dXNyQnJ6GsrJSdgKcxry2H0/jf5/V2pCQSicKhcPr6+uzVBHVUVVUp7SRJx5lWV1er3JHKzs5GUlISBg4cCHt7e7ntc+fOlSsLDg7GuHHj8NVXX2HUqFEwNW14AS6xmEFpqeLZk1RlYWHS5GO8rih23Ywd0O34KfbXL3Zra9UXuG2OvADIvlZVL2qQebVAYb1ufaxRLRKhulTU5HO2Fa/rz0lzaAuxMwwDsViioFyz5+Vw/j6HsjY0hlgsRlJSIoYMGQY9PX2Vj8swjNJ2SCQM+3fd7Y8fP4aZmRnMzMzZcunfEomk3nPzeNxmi7khlT/vRFXELy1yroaIH+ej8tefIZEwMA1dpNa+yt6H/Px88Hg8GBoagWEYlJQUIyDAFxUVFejc2Q5jx47H9OnKR6xJMUz9v8/ryw0NPjDUnFOsGhsb4/nz5wq3CYUvFx00MjJS+XiHDh0CAEyePFnlfSwtLTFt2jSEhYUhOTkZgwcPVnlfQgghRFPu/VUIiVj+WyyHy4HT27at0CJCXh9lZaUQCoXo1Kn5F6uWSMSora2FQCDA5cuXEB9/EStWrG7wC3prE5493dpNkCM8e1rtjpRU3ffh4sVzuHz5Et5+ewiMjIzQsycfTk7O6NatB2pqhLh8OQ47d36HR48eYt26j5s5ir812JEKDw9XuhaTi4uLXBmHw0FamuLxtTY2Nrh//77C4XuFhYVKh/0pUltbi+PHj8PCwgL+/v4q7SMlXWy4pETxOHRCCCGkJdVU1yIr4anCbY5vdYBJe0OF2wghmjdjhuys0EFBkxEcPLWVWqO76r4PXC4X/v4B7Ix8U6bMkKk7cOBgGBsb4+DB3zBz5hzY28sP62wODXak1B3CV199d3d3XLlyBampqejbty9bLhQKkZ6eLlPWkEuXLuHZs2eYPXu2Ws9UAUBOTg4Azc/kQQghhKgiK+EpREKxwm1Og5v/Cjsh2qZdu/YwNDREQYHiWS+bYuPGLbCxsUFJSQkOHNiLo0ej4erqhtGj1Zu9uqUZjhzdZob2SRmOHN3ofaXvg4mJCWxtO8tMP6+In98oHDz4G9LT01qnI5Went6sJwsMDMTOnTsREREh02k6ePAgqqqqZKY+z8vLg0gkQo8ePRQeSzqsT9naUbW1taiqqoK5uey4xidPnmD//v2wsLCAp6dnU0MihBBCmkQskuDeX4qfjeribIH2NsYt3CJCXj96enrw9OyD69evqT1xWUO6d+/BzhbXp08/zJkzDd9//y2GDRsBY+O2+/k0mb8QwMvhdJInj1u1LdzOXWAcEAijuaGNPkbd90EdzfmY0qtadFElJycnzJw5E1FRUVi2bBl8fHyQlZWFyMhIeHt7y3Sk5s6di/z8fGRkZMgdp7CwEH/88Qd69+4NJycnhecSCAQYMWIE/Pz80L17d7Rv3x4PHjxAdHQ0BAIBtm7dqtbzWIQQQogm5Nx8huqKWoXbnIfQ3SjSsszMVJ90pTFenf68OYWEzMXy5Yvw/fffYtWqNXLbHz/Oh0AgkJn+XF0GBgZYunQl1q17H0ePRmPGjNlNabJGcbhcmIYuUumZpHrXkmqIoRGMxo6HmYLXvK6WnGgDAM6ejQWHw4GLi5vGztHiq9P+85//hJ2dHQ4cOIC4uDhYWloiJCQEK1asUHku/qNHj0IsFtc7yYSRkRFGjhyJ1NRUnD9/HgKBAJaWlhg0aBBCQ0Pl1rIihBBCWppEwiDjiuK7UVaOZrByMGvhFhFd17Onq0aPr8kv0x4eXli+/B8IC9uOnJxsBAaOg61tJ7x4UY7r1xMRE3MMn3zyRZM6UgAweLAPXFxcsX//XgQHT4Gh4d8X5lNTb6KiQnYKeR5PD0OHDmvSOTWpSZ0o4H+L9h6Hnnsvja4jpUxBwRNs2LAeI0aMRNeu9qipqcHly5dw+nQMJkx4B3Z2XTV27hbvSPF4PMyfPx/z58+vt97FixeVblu8eDEWL15c7/4GBgb48ssvG9VGQgghpCXkpDxDRbFQ4TaXoXQ3ihB1TZkyAy4ubjhwYB+++24HSktLYWJiCmdnF3zwwT/x9ttDm+U8Cxe+h9Wrl+HYscOYOnUmW/7rrz/J1TU2Nsa5c380y3k1ocEFeQHA0KjVF+RVxsTEBO3atcPevREoKSkGh8OBo+MbWLVqDYKCVJ/ZuzE4TGMWhNIxIpGY1pFqAopdN2MHdDt+iv31i12ddaQakxeKssuReDwHb097ExadTcAwDC79lI5nDyvk6pp1MMToVb00Ora/tb2uPyfNoS3EXlCQi06dHFv8vC09vKutaYvx197PRNnqFWAqXgAiBWvVGRrBdPkqCH7ZCaaiQmmddv/eBgMv5RPHtcXYgYY/C/XlhpZZWpkQQgjRYUXZ5fgj6h4qi4WIj8iAUFCLouxyhZ0oABBW1qKmSvEsfoQQ0pz03uTDMnI/9JycgVfnDzA0QrvN22E84R1YRh6AHl9JnQY6UdqKOlKEEEKIBkk7UWLRyyuxomoxrkRlIi1e+TTNtbUSXInKVLhALyGENDduewu0D9sJo7ETXg7jA9hOlIFnn7/rhO+E0ZjxsnV0tBMFUEeKEEII0ZhXO1EAIBEzKHkiwNMHL5Tux4gZlBZUISU2ryWaSQgh4OjpwWzl+zBb9y9wraxlOlEydVat+buODneigFaYbIIQQgjRBYo6UVKS2obvNIlFEmQnPUMHezM49u6oiSYSQogcI79RDU4aoUodXUB3pAghhBANSDyeo7ATpQ6xSILUMw+bqUWEEEKaE3WkCCGEEA0YNO1NGJrqgctr/Mx7PH0u+k/q3oytIoQQ0lyoI0UIIYRogGVnEwSs6AXLLibg6aufbnn6XAyZ1RM23dppoHWEEEKaijpShBBCiIYYmujBd4ELuvWxUqszRZ0o8jooyi7Hye2pKH2ifE0sVeoQ8rqijhQhhBCiQVweB15jHNHD21qlYX48fS48RttTJ4q0aYrWRmtMHUJeZ9SRIoQQQjSsKLscWQlPVVoXSiyS4PaFfPrSSdosZWuj1f35VqUOIa876kgRQgghGlTfNOjK0JdO0lYpWxuttKAKN/+37ll9dZJP5WqsbadO/Y7Bg/uyf/z9h2LOnOk4fPgAamvlL0zk5z/CiBFvY/Dgvnj0iGbHJOqjdaQIIYQQDWlMJwqQ/WLqNcZRQ60jRD31/TyLRRI8SHoGLo+DrISnSutkXX8Ky66mGl0bbcOGTbC2toVAUIlLl85j+/bNKCkpQWjoYpl6W7d+DTMzMwiFQo21hWg3uiNFCCGEaEBjO1FS0i+muanPm7llhDROQ2ujiUUSZCUUNVhH02uj9ezpBHf3XvD2HoC1az+Cp2cfREf/JlPn7NlY3LuXgZkz52i0LUS70R0pQgghRANUWZBXT5+LWhW+dGry6j0hjITBnUuPkZvyHJUlTbs7IxY1PBy1qlyEgx8nKtxmamkIx7c6ws23Czjcxq/BVpeLiyuSk5NQUlIMS8sOKC8vR3j4dixduhISSdMWzSa6je5IEUIIIRrwdgML8vL0uRjwTo8G6/QPpgV5iWbdufQYaXGPm9yJag6VJUKkxT3GnUuPm+2Yjx8/Bo/Hg7GxCQDghx++hYODIwICxjTbOYhuoo4UIYQQogEW9SzIK10nynVwl/rrhPSETXeaBp1oVm5K2xs+2pQ2SSRi1NbWory8HMeOHcbly5cwaNBgGBkZISUlGbGxJ/H+++uasbVEV9HQPkIIIURDpAvypsTmITvpGcQiidxiu9I6N2Pz8KBuHepEEdIoM2ZMYv/N5XLh7x+AlSvfh0gkwubNGzFlygx060Z3eknTUUeKEEII0SAujwPPMY7oYG+G1DMP0X9Sd7nFdqWL9naU1gnuTp0o0mIc3+qItLjmG0rXHBzfavxzgRs3boGNjQ1MTExga9sZhoaGAIC9eyPw4kU5Jk+ehhcvXgAAqqurAQACQSUEgkqYmJg2vfFEZ1BHihBCCGkBjr07NjhphCp1CGlubr5dAKBZJptoqrqTTTRW9+490LWrvVx5Ts4DPH/+HBMnjpbbNn9+CN58k4/du/c1+rxE91BHihBCCCFEh3G4HLiPsIP7CLsG6zZlWn+ePhc9+lrDI9ChMc1sspCQuRg9eqxM2bVrf2Hv3gisX78BDg60ZhtRD3WkCCGEEEJIg5pjbbSWWJBXGUfHN+Do+IZMWUHBEwCAq6u7wrtYhNSHZu0jhBBCCCENUmVttFdnn3xVSyzIS0hLoY4UIYQQQghpkCpro3mMtm+1tdECA8fhypXrat1Zasw+hEhRR4oQQgghhDRIlbXRevSzqbeOz2w+zUhJtAZ1pAghhBBCiEqk655172PFdpSUrY3W7dU6IT1h26N9q7WdkOZGk00QQgghhBCV0dpohLxEHSlCCCGEEKI2WhuN6Doa2kcIIYQQQgghaqKOFCGEEEKIDmIYprWbQEiraupngDpShBBCCCE6hsfTg0hU09rNIKRViUQ14PEa/6QTdaQIIYQQQnSMmZkFSkufoqZGSHemiM5hGAY1NUKUlj6FmZlFo49Dk00QQgghhOgYY2NTAEBZ2TOIxbUtdl4Oh6PTHTddjr+txc7j6cHc3JL9LDQGdaQIIYQQQnSQsbFpk75ENoaFhQlKSwUtes62RJfj18bYaWgfIYQQQgghhKipxe9ISSQS7NmzB/v370d+fj46dOiA0aNHY8WKFTAxMal337CwMISHhyvdrqenhzt37siUZWdnY8uWLUhMTIRIJIKrqyuWL1+OgQMHNks8hBBCCCGEEN3T4h2pjRs3IjIyEv7+/pg/fz6ysrIQGRmJtLQ07N69G1yu8ptk/v7+cHBwkCvPyMjAL7/8Al9fX5nyvLw8TJ8+HTweD6GhoTAzM0N0dDRCQ0Px008/YdCgQc0eHyGEEEIIIUT7tWhH6t69e4iKisLIkSMRFhbGlnft2hVffPEFTp48iXHjxind39nZGc7OznLl69evBwBMmjRJpnzr1q0oLy/HkSNH4OLiAgCYOHEixo4di88++wyxsbHgcDjNERohhBBCCCFEh7ToM1IxMTFgGAZz5syRKZ8yZQqMjY1x4sQJtY8pEAhw8uRJdOrUCUOGDJEpv3jxIry9vdlOFACYmppi0qRJyMnJwa1btxofDCGEEEIIIURntWhH6vbt2+Byuejdu7dMuaGhIZydnRvVsYmNjUVFRQWCgoLA4/HY8oyMDNTU1MDDw0NuH2kZdaQIIYQQQgghjdGiQ/uKiopgaWkJAwMDuW22trZITk5GTU2Nwu3KHDp0CBwOB8HBwXLnkh5X0bkAoLCwUKVz6OvzYG1trnKblGmOY7yuKHbdpcvxU+zaq7nyAqD9r1V9KHbdpMuxA7odv7bF3qJ3pKqqqpR2kgwNDQEA1dXVKh8vOzsbSUlJGDBgAOzt7eXOBUDh+aTnktYhhBBCCCGEEHW0aEfK2NgYNTU1CrcJhUIAgJGRkcrHO3ToEABg8uTJCs8FQOH5pOeS1iGEEEIIIYQQdbRoR8rGxgYlJSUKOzeFhYVKh/0pUltbi+PHj8PCwgL+/v4KzyU9rqJzAYqH/RFCCCGEEEJIQ1q0I+Xu7g6JRILU1FSZcqFQiPT0dLi7u6t8rEuXLuHZs2cYP368ws4Xn8+HgYEBbt68KbdNWqbO+QghhBBCCCFEqkU7UoGBgeBwOIiIiJApP3jwIKqqqmTWkMrLy0NWVpbSY0mH9b26dpSUqakpfH19kZCQgPT0dLa8srIShw4dwhtvvCE3eyAhhBBCCCGEqILDMAzTkifcsGEDoqKi4O/vDx8fH2RlZSEyMhJeXl6IiIgAl/uybzd8+HDk5+cjIyND7hiFhYXw9fWFm5sboqOjlZ4rNzcXkydPhp6eHubOnQtTU1NER0cjMzMTO3fulFl3ihBCCCGEEEJU1aLTnwPAP//5T9jZ2eHAgQOIi4uDpaUlQkJCsGLFCrYT1ZCjR49CLBYrnGSiLkdHR/z222/YsmULdu3aBZFIBFdXV/z8888YNGhQc4RDCCGEEEII0UEtfkeKEEIIIYQQQl53LX5HSldIJBLs2bMH+/fvR35+Pjp06IDRo0djxYoVMDExae3mqW3nzp24c+cO7ty5g0ePHsHOzg4XL15UWj8lJQXbt29HSkoKOBwOPD09sWbNGri4uMjVLSwsxNatW3H58mUIBAK8+eabWLhwIUaPHq3JkFT24MEDnDhxAv/973+Rl5cHoVAIBwcHBAQEYM6cOXLvZ3Z2NrZs2YLExET2Lujy5csxcOBAuWO/ePECO3bswNmzZ1FaWgoHBwfMnDkT06dPB4fDaakQlcrOzsZ3332HtLQ0FBUVoba2Fp07d4aPjw8WLFjAzo5Zt762xK5IVVUVxo4di0ePHmHmzJlYv369zHZti9/JyUlhuYmJCZKTk2XKtC12TaHcoB25QZfzAkC5oS7KCy/pal6gjpSGbNy4EZGRkfD398f8+fPZZ8HS0tKwe/dulYcxthXbtm2DhYUFXF1d8eLFi3rr3rx5E7NmzYKtrS1WrlwJAIiKisKMGTOwf/9+mQ9haWkpZsyYgeLiYsydOxedOnVCTEwMVq1aBYFAgODgYI3GpYrDhw9j7969GD58OMaNGwc9PT1cu3YNO3bswOnTp3Hw4EF2/bO8vDxMnz4dPB4PoaGhMDMzQ3R0NEJDQ/HTTz/JDCmtqanBvHnzcPfuXYSEhKBHjx64fPkyPvvsMzx//hzLly9vrZBZhYWFePr0Kfz9/WFraws9PT1kZmbi4MGDOHnyJI4fP46OHTsC0L7YFfn2229RXFyscJu2xt+3b19MmTJFpkxfX1/m/9oauyZQbtCO3KDLeQGg3FAX5YWXdDYvMKTZZWZmMk5OTsyyZctkyvfs2cPw+XzmxIkTrdSyxsvLy2P/PWbMGMbX11dp3eDgYMbT05MpKChgywoKChhPT09m3rx5MnW//vprhs/nMxcuXGDLamtrmeDgYMbb25upqKhoxigaJzU1lSkvL5cr37ZtG8Pn85nIyEi2bMWKFYyzszOTlpbGllVUVDDDhg1jRo4cyUgkErY8KiqK4fP5zJ49e2SOu2zZMsbNzY159OiRBqJpHqdOnWL4fD6za9cutkzbY799+zbj4uLC/Oc//2H4fD7z2WefyWzXxvj5fD6zdu3aButpY+yaQLlBe3ID5QXFdC03UF5QThtjV+T1uvT1moiJiQHDMJgzZ45M+ZQpU2BsbIwTJ060Ussaz97eXqV6ubm5uHXrFgICAmQWPLa1tUVAQAD+/PNPPH36lC2PiYmBg4MDhg8fzpbxeDyEhISgtLQU8fHxzRdEI/Xq1Qvm5uZy5YGBgQCAzMxMAIBAIMDFixfh7e0tM0zF1NQUkyZNQk5ODm7dusWWx8TEwNjYWO6qzpw5cyASiXDq1ClNhNMs7OzsAADl5eUAtD92sViMjz/+GEOGDFG4ALi2x19TU4PKykqF27Q99uZEuUF7cgPlBcV0KTdQXqC8ALTwOlK64vbt2+ByuXLrVBkaGsLZ2Vnmh0fbSGPz9PSU2+bh4QGGYXDnzh0AQFFREQoLC/HWW28prFv3eG1RQUEBAMDKygoAkJGRgZqaGrbtdb0aj0QiQVpaGlxcXGBoaChTt3fv3uBwOG0qdqFQiOLiYhQUFODKlSvsGHAfHx8A2h07AOzevRvZ2dn4+OOPFW7X5vjPnDkDDw8PeHl5YeDAgdiwYYPMEC5tjr25UW7Q/tygS3kB0O3cQHmB8gJAz0hpRFFRESwtLWFgYCC3zdbWFsnJyaipqVG4/XVXVFQEAHIPmgJgr0IWFhbK1K17dfLVutI6bY1YLMYPP/wAPT09jB07FoBq8UhjLysrQ3V1tcK6BgYGsLS0bFOxR0dHY8OGDez/7ezssHnzZvTt2xeAdsf+8OFDhIWF4b333kPXrl3x6NEjuTraGn/v3r0REBAAR0dHVFRUID4+HlFRUUhISMD+/fthamqqtbFrAuUG7c4NupYXAN3NDZQXKC9IUUdKA6qqqpQmQmlvu7q6WiuTZVVVFQAojE1aJq1TXV2ttK70dZLWbWs2btyI5ORkrF69Gt27dwdQf+yvxlNf7NL6bSl2Pz8/dO/eHQKBAGlpabh48SJKSkrY7doc+6effgp7e3vMmzdPaR1tjf/VBc8nTpwIJycnbN++HXv27MGSJUu0NnZNoNyg3blB1/ICoLu5gfLC33Q9L1BHSgOMjY3x/PlzhduEQiEAsLP5aBtjY2MAL8fOvkpaJq0jfQ0U1ZW+TtK6bcmOHTsQFRWFqVOnYtGiRWx5fbG/Gk99sUvrt6XYO3XqhE6dOgF4mThHjhyJSZMmobq6GosWLdLa2I8fP47//ve/iIqKkpuRqC5tjV+RBQsWIDw8HPHx8ViyZIlOxd5UlBu0NzfoYl4AdDM3UF6Qp8t5gZ6R0gAbGxuUlJQo/KEoLCxUOrRDG0iHbSi6DSu9jSu9fSutKy1XVFfRMJDWFBYWhh9++AHvvPMOPvvsM5ltqsQjjb19+/YwMjJSWLempgYlJSVtLva6nJ2d4erqin379gHQzthramqwadMm+Pj4wNraGrm5ucjNzcXjx48BvFzzIjc3F+Xl5VoZvzL6+vrs7zhAO997TaHcoJ25gfLC37Q9N1BeUEyX8wJ1pDTA3d0dEokEqampMuVCoRDp6elwd3dvpZZpXq9evQBAblE24OUaIhwOB25ubgBeftBsbW2RkpKisG7d47UFYWFhCA8PR1BQEL788ku5BeL4fD4MDAzYttclLZO+91wuF66urrh7967cl6rU1FQwDNPmf06qq6tRVlYGQDtjr66uRnFxMeLi4jBy5Ej2z6xZswAAJ06cwMiRIxEdHa2V8SsjFApRWFjIrhGjS7E3FeUG7csNlBfkaXNuoLygmC7nBepIaUBgYCA4HA4iIiJkyg8ePIiqqiqMGzeulVqmeY6OjnB3d0dsbKzM1YXCwkLExsZiwIABsLa2ZsvHjBmDvLw8XLx4kS0Ti8WIiopCu3btMHTo0BZtvzLh4eEIDw/HhAkTsHHjRoWLZpqamsLX1xcJCQlIT09nyysrK3Ho0CG88cYbMrN1jR07FlVVVThw4IDMcSIiIqCnp8dOo9ua6k5HXNfVq1dx7949dlYtbYzd2NgY33zzjdyfTz75BAAwZMgQfPPNNxg+fLhWxl/3OYe6duzYgdraWvj6+gLQzvdeUyg3aFdu0NW8AOhubqC8QHnhVRyGYZjWboQ22rBhA6KiouDv7w8fHx929XovLy9ERES8dqvXHzt2jL11HRUVBZFIxD5k2aVLF0ycOJGte+PGDcyePRudOnVCSEgIu8/z58/x22+/wdnZma1bUlKC4OBglJSUYN68ebC1tUVMTAwSEhLwxRdfYPLkyS0XpBJ79+7F559/ji5dumDlypVyVxytrKzw9ttvA3i5VsrkyZOhp6eHuXPnwtTUFNHR0cjMzMTOnTsxZMgQdr+amhpMmzYNGRkZmDVrFnr06IH4+HicO3cOS5YswapVq1oyTIWWLl2Kp0+fYsCAAejSpQuEQiHu3LmDU6dOwcjICJGRkewaEdoWuzKPHj3CiBEjMHPmTHaqX0D74t+4cSNSUlLQv39/dO7cGQKBAPHx8bh27Rreeust7Nmzhx3brm2xaxLlBu3IDbqcFwDKDa+ivKC7eYE6UhoiFosRERGBAwcOID8/H5aWlggMDMSKFStgamra2s1T26xZs5CQkKBwm7e3NyIjI2XKkpOTsWPHDnYIi5eXF1avXs0O3airsLAQW7ZsweXLlyEQCPDmm29i4cKFbeYKxLp163D06FGl21+NPysrC1u2bEFiYiJEIhFcXV2xfPlyDBo0SG7f8vJy7NixA2fPnkVpaSkcHBwwY8YMzJw5Uy4xt4ZTp07h+PHjSE9PR3FxMTgcDrp06YK3334bCxYsQJcuXWTqa1PsyihLmIB2xX/+/Hn89ttvyMzMRGlpKXg8HhwdHTF69GjMmzdPbr0PbYpdkyg3aEdu0OW8AFBueBXlBd3NC9SRIoQQQgghhBA1vV5jCAghhBBCCCGkDaCOFCGEEEIIIYSoiTpShBBCCCGEEKIm6kgRQgghhBBCiJqoI0UIIYQQQgghaqKOFCGEEEIIIYSoiTpShBBCCCGEEKImvdZuAGk5w4cPR35+Pvt/DocDY2NjtGvXDt26dUOvXr0wZswYmdXltYGTkxMAICMjo5VbQgghbQvlBcoLhJDGoztSOmjw4MEICgrCxIkTMXToUDg4OOD27dvYtWsXJkyYgMWLF+Pp06et3UyixKNHj+Dk5IThw4e3dlNUNnz4cDg5OeHRo0et3RSNOXLkCJycnLBu3TqNn+vatWtwcnLCrFmzNH4uRZycnNgvokQ7UF54vVFeaJsoL2g/uiOlg9599130799fpkwikeDixYvYtGkTLl26hJCQEOzfvx+Wlpat1Mrmc+rUqdZuAiGEtGmUFwghRH10R4oAALhcLvz8/HD48GE4OjoiJycHX3/9dWs3q1n06NEDPXr0aO1mEELIa4XyAiGE1I/DMAzT2o0gLUM6Fn7Pnj1yVx7riouLw6JFi8Dj8RAfHw9ra2t2259//olz584hKSkJhYWFqKyshLW1Nby9vfHuu+/KJaY5c+bg6tWr2LZtG8aMGaPwfJs2bcKvv/6KBQsW4P/+7/8ajEMoFCIiIgKnT59GTk4ORCIRLCwsYGdnhwEDBuC9996DoaEhW1/ZWHjp63HhwgXk5uZi165duH37Nmpra+Hk5IRFixZhxIgRCtsgEolw5MgRxMTEICMjAwKBAFZWVnBycsKYMWMwfvx4mfoMw+DUqVM4fPgw7ty5g8rKSlhZWWHw4MFYvHgxunbt2mDcALBu3TocPXpU4TY7OztcvHhRpt5XX30FV1dXfP/990hKSkJxcTHWrl2LuXPnAgAEAgH27t2L2NhYPHjwALW1tbC3t0dAQADmz58PU1NTmXNUVFTg5MmTiI+Px71791BUVAQulwtHR0eMGjUK8+bNg5GREVv/yJEj+PDDD5XGc+HCBXTt2pWtFxQUhA8//BBhYWE4f/48iouLYWdnh9mzZ2P69OkAgHv37iE8PByJiYmoqKgAn8/HypUrMWTIEIXnUDfGsLAwhIeHY9myZZg+fTq+/fZbxMXFobi4GDY2NggMDMTy5ctlfsZefc6krqCgIGzatEnpayBVWFiInTt34o8//kBBQQG4XC4sLS3Ro0cPjBw5ElOnTgUAzJo1CwkJCQqP4e3tjcjISABAfn4+YmJicOXKFeTl5eH58+cwMTGBk5MTpkyZgnHjxsntf+3aNcyePRve3t7YtWsXfvzxR5w5cwaPHz9Gt27d4Ofnh/DwcKUx0PMmrx/KC5QXKC9QXqC80Hg0tI/I8fHxgYWFBUpLS3Ht2jWMHTuW3fbJJ5+goKAAPXv2RN++fQG8/AV27NgxnDlzBj///DNbDrz8cF+9ehX79u1TmDCrq6tx5MgRcLlc9hdifSQSCd59911cvXoV5ubm6NevH8zNzfHs2TM8ePAAP/74I0JCQmSSfEMOHTqEH3/8Eb169YKPjw8ePHiAlJQULF26FDt27EBAQIBM/bKyMixatAjJyckwMDCAl5cXOnbsiKKiIty4cQP37t2TSZgikQirV6/G2bNnYWRkBHd3d3Ts2BH37t1DdHQ0zp49i19++QW9evVqsK19+vSBQCDAmTNnYGJiglGjRrHbFA23uXHjBj755BPY2trC29sblZWVMDY2BgAUFBRgwYIFuH//Pjp06ABPT08YGBjg1q1bCA8Px7lz5xAZGYn27duzx0tPT8f69evRsWNHdOvWDe7u7igtLUVKSgp27NiBixcvIioqik0mDg4OCAoKwpkzZyAQCDBq1CiYmJiwx6v7bwAoLy/H1KlTUVFRgT59+qC0tBTXr1/Hp59+ihcvXqBfv36YP38+7Ozs0L9/f+Tm5uLWrVtYtGgRIiIi0K9fP5njNSZGqSdPnuCdd94BwzDw9PREZWUlkpKS8NNPP+H+/fv48ccf2bqjRo3CzZs3cePGDTg4OKBPnz4y71lDioqKEBwcjKdPn8LOzg5DhgyBgYEBCgsLkZKSgvz8fDZhSrdduXIFVlZWMl8Uunfvzv77+PHj+Oabb+Dg4IDu3bvDy8sLBQUFSEpKQkJCAlJSUvDRRx8pbI9QKMSsWbOQlZWFfv36wdnZGSKRCC4uLggKCmK/tAUFBTUYG9EOlBcoL1BeoLxAeUEBhugMX19fhs/nM1evXm2w7ty5cxk+n89s27ZNpvzcuXNMWVmZTJlEImF+++03hs/nM6NHj2YkEgm7rba2lj1vRkaG3Hmio6MZPp/PvPvuuyrFkJCQwPD5fCYoKIiprKyUa8f169cZgUAgU87n8xk+ny93LGm73NzcmPj4eJlt3333HcPn8xl/f3+5/ZYsWcLw+Xxm6tSpTEFBgcy26upqJi4uTqZs8+bNDJ/PZ2bOnMk8efJEZltkZCTD5/MZPz8/RiQSNfwCMAzz8OFDhs/nM76+vkrrrF27lo1727ZtjFgsltkukUiYqVOnMnw+n/n888+ZqqoqdltVVRWzZs0ahs/nM2vXrpXZ78mTJ8yff/4pd7yysjJmwYIFDJ/PZ3bu3CnXHulr/fDhQ4XtPXz4MNve5cuXM9XV1ey2uLg4hs/nMx4eHoyvry/zyy+/yOy7adMmhs/nM7Nnz26WGL/99lu2Lf/6178YoVDIbrt//z7j4eHB8Pl85vr16wpjePV4qggLC2P4fD7z8ccfy3x+GIZhhEIhk5CQIFN29epVhs/nMyEhIUqPmZKSwmRmZsqVP3jwgPHx8WH4fD5z8+ZNhcfl8/nMhAkTmKdPnyo8trLPFHn9UF6QRXmB8gLlBcoL6qBnpIhC0qtYpaWlMuV+fn5o166dTBmHw8G0adPg6emJrKws3L9/n93G4/HYK4r79u2TO4+0bMaMGSq169mzZwBeXs159aoVh8NBnz592Ctrqpo1axaGDh0qUxYaGgpzc3Pk5ubi8ePHbPndu3dx4cIFmJqa4vvvv4etra3MfoaGhvDx8WH/X1paisjISJiYmOCbb75Bp06dZOqHhIRg2LBhyMvLw+XLl9Vqtyq6d++OFStWgMuV/ahfvnwZycnJ8PDwwL/+9S+ZYRdGRkb47LPP0LFjR/z+++8oKytjt3Xq1AkDBw6UO167du3Yq1hnzpxpdHtNTU3x6aefygyP8PHxgbOzMwQCAWxsbDB//nyZfRYtWgQASEpKgkgkanKMUp07d8ZHH30EAwMDtqxHjx6YMGECAOCvv/5qdJyvev78OQBg6NCh4HA4MtsMDAzkrqiqonfv3ujZs6dc+RtvvIH33nsPABAbG6t0//Xr18PKykrt8xLtRXmB8gLlBcoLlBdk0dA+opBEIgEAuV+MwMvb4nFxccjOzkZFRQVbV5rMcnJyZD6okydPRnh4OE6cOIE1a9bAzMwMAJCSkoI7d+7A3t5e6TjmV7m5uYHH4+HQoUN44403MGrUqCZ/qIcNGyZXZmBgAHt7e6SlpaGoqAhdunQBAPzxxx8AXo597tChQ4PHvnbtGqqrqzFs2DB07NhRYZ1+/fohLi4ON2/ebPapa0eMGAEejydXLk3OI0eOVPgem5iYwN3dHfHx8bh16xYGDx7MbmMYBklJSbh+/ToKCgogFArBMAyY/z1umZOT0+j2uru7K3xdHR0dkZ6eLtMOKQsLC3bIUWlpKTt8pykxAsCAAQNkkqyUdJhEUVGR+gEq0bt3b+zbtw+bN28GAAwaNEjuC2FjCIVC/PHHH7h16xZKSkpQU1MDAOw01sreKysrK3h5eTX5/ES7UF6gvEB5gfICkUUdKaJQSUkJAMiNEf7222+xc+dO1NbWKt23oqJC5v8WFhYYN24coqOjcfz4ccycORPA31cdp0+frvAXmiIODg748MMP8fXXX+Pzzz/H559/Dnt7e3h6emLEiBHw9/dXmCDqI02Gr5ImdqFQyJZJHxytO+a4Pg8fPgTw8kHthtZXKC4uVumY6lAWm7Rd//73v/Hvf/9b5XY9e/YMy5YtQ3JystL6r77/6nj1yqyUNHko225qaorS0lKZ96qxMUp17txZYV3pz4U0+TSHCRMm4MqVK4iJicHSpUvB4/HQs2dP9OvXD4GBgY1KXsnJyVi1ahUKCgqU1lH2Xin7uSG6jfIC5QVF7aK8QHlBl1FHishhGAZ3794FAPD5fLb8zJkz+O6779jb7AMGDIC1tTV7deb9999HTEwMewWqrpCQEERHR2P//v2YOXMmSkpKcPr0aRgaGiI4OFit9s2aNQsBAQE4f/48kpKScOPGDZw4cQInTpyAi4sLoqKi2F9qqnj1lnlz1QX+voLbrVs3eHh41Fv3rbfeUuvYqlB05QwAxGIxgJez+djZ2dV7jLq/PD/66CMkJyfDy8sLy5cvh7OzM8zNzaGvr4+amhqVHoyuT0NfnFT9YgU0PsbGnKupuFwutm7dikWLFiEuLg43btzAjRs3EBkZicjISAQHB2Pjxo0qH6+qqgrLli3Ds2fPMGnSJEyfPh2Ojo4wNTUFl8vFlStXsGDBAqX7K/u5IbqL8kLz1AUoL6iL8gLlhbaMOlJETlxcHMrKyqCvry8zHa503Ozq1asxefJkuf1yc3OVHtPZ2Rn9+vVDYmIiEhMTcfPmTQiFQrzzzjuwsLBQu43W1taYPn06O84+PT0dH3zwAe7evYtdu3Zh9erVah9TFdJfrA8ePFCpvvRKGZ/PV2mq05YivaoWEBDAXgluiEAgQHx8PHg8Hnbu3Cn3TEReXl6zt7MpGhNja+Pz+eyXVIlEgvj4eLz//vs4fPgwAgMDFQ5hUSQxMRHPnj2Dm5sbvvzyS7nt9X1WCVGE8oJylBcoL2gS5YW2jSabIDLKysrw1VdfAXh5W7nu+G3pg5eKbqNnZWWxVyuVCQkJAQBERUVh//79AFR/mLghzs7OmD17NoCXyVNTpL+wLly4oNKQi0GDBkFfXx9//fUXysvLm6UN+vr6AFDvMJqGSB+iru+h0le9ePECEokEpqamcskSAH7//Xel+0rbLL0a2BIaE2NTNMf7UheXy4Wvry+7Zk3dn+uGziX9rCobhhITE9OktjV3rKRto7xQP8oLlBeUobyg/agjRQC8vMpx4cIFTJo0Cbm5uejevbvcIojS8d/R0dEy44CfP3+OtWvXNvjh8fPzQ+fOnREbG4tHjx6hV69eat/y/+uvvxAfHy93LrFYzD5EqslxvK6urvD19UVlZSWWLVsm92CpUChEfHw8+38rKyvMmDED5eXlWLJkCbKysuSOKRAI8Pvvv7MPZTekQ4cO0NfXx/PnzxXOKqQKPz8/uLm5ISEhAevXr5ebhQt4+eDpwYMHZWJp3749ysvL5ZLj5cuX8euvvyo9n42NDQAojF9TGhNjU0hn6srOzlZ732PHjuHOnTty5SUlJbh58yYA2Z9r6bny8vIUfu6kn9WrV6/KvOYSiQTh4eG4ceOG2m2sqzXeT9LyKC+ohvIC5QVlKC9oPxrap4N27drFLpwmFApRXFyMtLQ09sqYn58fPv/8c7kHiufMmYNjx44hLi4OI0eORO/evSEUCpGQkIDOnTvDz88P58+fV3pePT09TJ8+Hdu2bQOARt1Wz8jIwFdffQVzc3O4urrC2toa1dXVSElJwdOnT2FtbY2FCxeqfVx1bNq0CaGhoUhKSoKfnx/69OmDDh06oKioCOnp6TA3N2dXkgeADz74AEVFRTh9+jTGjRsHZ2dn2Nvbg8PhID8/H+np6aipqcGpU6dUmmlKX18fw4YNw7lz5xAUFARPT08YGRnB0tISa9asUSkGLpeL77//HgsXLsSBAwcQExMDZ2dndO7cGUKhEDk5Obh//z46duyIKVOmAHg5ZfHixYvx9ddfY82aNdi7dy/s7OyQl5eH1NRULF68WGYxwrr8/f2RkJCANWvWYPDgwTA3NwcArFmzRuGCkc2hMTE2hYeHB6ytrXHnzh2888476NmzJ/T09ODl5dXg8x5nz57F2rVrYWtrCxcXF5ibm6O0tBRJSUkQCATo27cv/P392fp2dnZwdXVFWloaxo8fDzc3NxgYGKBbt24IDQ2Fm5sbfH19cenSJUycOBH9+/eHubk5bt26hSdPniA0NBQ///xzo2P19/fH7t27MXfuXAwYMIB96FvRcBHyeqC80DSUFygvKEJ5QfvzAnWkdNCVK1cAvHxA1tjYGO3atYObmxt69+6NsWPHyjxIXJe9vT2OHj2K7du3IykpCZcuXYKtrS2mTp2KpUuXqvRhGTRoELZt2wYLCwsEBgaq3fbhw4fjxYsXSExMRF5eHpKTk2FiYoIuXbpg2rRpmDFjhkrTzzaFhYUF9u3bh4MHDyImJgapqamoqamBlZUV+vTpg3HjxsnU19fXx44dOzB+/HgcOnQIqampyMzMhKmpKaytrTF27FiMGDECDg4OKrdhw4YNaN++Pa5cuYLY2FjU1tbCzs5O5YQJvByKc+jQIRw6dAinT59GZmYmUlNTYWFhARsbG8ybN0/mlzQAdvX4//znP7h37x4yMzPB5/OxefNmjB8/XmnCDAkJQUVFBX7//XdcunSJvXK9ZMkSjSXMxsbYWAYGBvj555+xfft23Lx5E3fv3oVEIoFYLG4wYUpf1+TkZNy+fRtlZWWwtLSEq6srgoKCMH78eHbYhFRYWBi2bNmCxMREnDx5EmKxGN7e3ggNDQXwcia13bt348SJE0hISICJiQk8PDywdetWVFdXNylh/uMf/wCHw8G5c+dw7tw5dp0WbU+Y2ozyQtNQXqC8oAjlBe3PCxxG0VQ6hGjIxo0bERERgdDQUHzwwQet3RxCCCGtjPICIeR1RR0p0mKePHmCwMBAiEQinDt3TukDj4QQQnQD5QVCyOuMhvYRjduyZQsKCgrw559/QiAQYMGCBZQsCSFEh1FeIIRoA7ojRTRu+PDhePz4MaytrTFhwgSsXLlSblwvIYQQ3UF5gRCiDagjRQghhBBCCCFqonWkCCGEEEIIIURN1JEihBBCCCGEEDVRR4oQQgghhBBC1EQdKUIIIYQQQghRE3WkCCGEEEIIIURN/w+ZRNAegBHLMQAAAABJRU5ErkJggg==\n"
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": "<Figure size 864x396 with 2 Axes>",
      "image/png": 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\n"
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": "<Figure size 864x396 with 2 Axes>",
      "image/png": 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\n"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#compute control fit values\n",
    "results_ctrl = np.loadtxt(results_ctrl_file)\n",
    "\n",
    "v_min = 0.\n",
    "v_max = 3.\n",
    "binsize = 0.25\n",
    "bins = int(v_max / binsize)\n",
    "\n",
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    "fontsize = 20\n",
    "linewidth = 6\n",
    "markersize = 18\n",
    "\n",
    "v_ctrl = results_ctrl[:,0]\n",
    "probs_ctrl = results_ctrl[:,3]\n",
    "probs_ctrl_err = results_ctrl[:,4]\n",
    "\n",
    "fit_bounds=(0, [1, np.inf, np.inf])\n",
    "\n",
    "ind_vmax = v_ctrl <= v_max\n",
    "v_ctrl = v_ctrl[ind_vmax]\n",
    "probs_ctrl = probs_ctrl[ind_vmax]\n",
    "probs_ctrl_err = probs_ctrl_err[ind_vmax]\n",
    "\n",
    "popt_ctrl, pcov_ctrl = curve_fit(logistic_growth, v_ctrl, probs_ctrl,\n",
    "                                 sigma = probs_ctrl_err, absolute_sigma=False,\n",
    "                                 bounds = fit_bounds)\n",
    "\n",
    "with sns.axes_style('darkgrid'):\n",
    "\n",
    "    #plot control values in every plot\n",
    "    for ii in range(3):\n",
    "        plt.figure(ii,(12,5.5))\n",
    "\n",
    "    fig = plt.figure(1)\n",
    "    height_ratio = 4\n",
    "    spec = gridspec.GridSpec(ncols=2, nrows=2, figure=fig, height_ratios=[1,height_ratio])\n",
    "\n",
    "    xlabel = 'Day since treatment start'\n",
    "\n",
    "    params = ['A', 'x0', 'k']\n",
    "    plot_titles = ['Normocytes', 'Acanthocytes']\n",
    "    ylims = [(.7,1.01), (.2,.7),(0,15)]\n",
    "\n",
    "    for jj, patient in enumerate(patients):\n",
    "        data = dict_fitvalues[patient]\n",
    "        color = color_dict[patient]\n",
    "\n",
    "        for ii in range(len(params)):\n",
    "            para = params[ii]\n",
    "            fig = plt.figure(ii)\n",
    "\n",
    "            for n, health in enumerate(['healthy', 'unhealthy']):\n",
    "                df_plot = data[health]\n",
    "\n",
    "                ax=plt.subplot(1,2,n+1)\n",
    "                #plot control line first\n",
    "                if jj==0:\n",
    "                    if health=='unhealthy':\n",
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    "                        plt.axhline(popt_ctrl[ii], color='darkgray', ls='--', lw=1.25*linewidth, alpha=.75,\n",
    "                                    label='CTRL')\n",
    "                    else:\n",
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    "                        plt.axhline(popt_ctrl[ii], color='darkgray', ls='--', lw=1.25*linewidth, alpha=.75)\n",
    "\n",
    "                if patient=='LM':\n",
    "                    plt.plot(df_plot['days'][:-2], df_plot[para][:-2], c=color, label=labels[jj],\n",
    "                             marker='X', lw=linewidth, markersize=markersize)\n",
    "                    plt.plot(df_plot['days'][-3:], df_plot[para][-3:], '--', c=color,\n",
    "                             marker='X', lw=linewidth, markersize=markersize)\n",
    "                else:\n",
    "                    plt.plot(df_plot['days'][:-1], df_plot[para][:-1], c=color, label=labels[jj],\n",
    "                             marker='X', lw=linewidth, markersize=markersize)\n",
    "                    plt.plot(df_plot['days'][-2:], df_plot[para][-2:], '--', c=color,\n",
    "                             marker='X', lw=linewidth, markersize=markersize)\n",
    "\n",
    "                plt.ylim(ylims[ii])\n",
    "                plt.xlabel(xlabel, fontsize=fontsize+2)\n",
    "                plt.xticks([0,100,200,300,400,500])\n",
    "                plt.tick_params(axis='both', which='both', labelsize=fontsize-2)\n",
    "\n",
    "                if para=='x0':\n",
    "                    plot_para = 'v_0'\n",
    "                else:\n",
    "                    plot_para = para\n",
    "                plt.title(r'${}$ - {}'.format(plot_para, plot_titles[n]), fontsize=fontsize+2)\n",
    "\n",
    "                if health=='unhealthy':\n",
    "                    ax.get_yaxis().set_ticklabels([])\n",
    "\n",
    "    fig = plt.figure(0)\n",
    "    fig.supylabel(\"Plateau probability\", fontsize=fontsize)\n",
    "    plt.legend(ncol=2, fontsize=fontsize-4, title_fontsize=fontsize)\n",
    "    plt.tight_layout()\n",
    "    savename = \"fig3A_plateau_probability_lithium\"\n",
    "    savepath = os.path.join(savefolder,savename)\n",
    "    plt.savefig(savepath+\".pdf\", dpi=900, format='pdf')\n",
    "\n",
    "    fig=plt.figure(1)\n",
    "    fig.supylabel(\"Transition velocity [mm/s]\", fontsize=fontsize)\n",
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    "    plt.legend(loc='lower right', ncol=2, fontsize=fontsize-4, title_fontsize=fontsize)\n",
    "    plt.tight_layout()\n",
    "    savename = \"fig3B_trasition_velocity_lithium\"\n",
    "    savepath = os.path.join(savefolder,savename)\n",
    "    plt.savefig(savepath+\".pdf\", dpi=900, format='pdf')\n",
    "\n",
    "    fig = plt.figure(2)\n",
    "    fig.supylabel(r\"Growth rate [(mm/s)$^{-1}$]\", fontsize=fontsize)\n",
    "    plt.legend(ncol=2, fontsize=fontsize-4, title_fontsize=fontsize)\n",
    "    plt.tight_layout()\n",
    "    savename = \"fig3C_growth_rate_lithium\"\n",
    "    savepath = os.path.join(savefolder,savename)\n",
    "    plt.savefig(savepath+\".pdf\", dpi=900, format='pdf')"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
   "execution_count": 7,
   "outputs": [],
   "source": [],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.6"
  }
 },
 "nbformat": 4,
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}