2229 lines (2228 with data), 1.1 MB

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "14qZ8FniTGDv"
   },
   "source": [
    "# DATA SCIENCE 4440 Final Project\n",
    "#### Eddy Mina \n",
    "\n",
    "The proposed idea for this project is inspired by the Apple Watch Series 4 and modern-day ECG machines. ECG’s or electrocardiograms are heart monitoring devices that measure the hearts’ normal sinus rhythm. Biologically speaking, cardiac muscles generate a wave pattern through depolarization and repolarization of each beat. ECG measurements are recorded by the placement of up to 12 electrodes on the body that can measure the overall magnitude of the hearts electric potential. A single heart beat voltage signal can be examined with a P wave which represents the depolarization of the atria; the QRS complex which illustrates ventricle depolarization of the atria, and finally the T wave, which indicates ventricle repolarization. The image below shows a common signal repeat unit of this waveform. \n",
    "\n",
    "<img src=\"heartbeat.png\">\n",
    " \n",
    "The primary objective of this project is to use a 1D Convolutional Network paired with a Multilayer perceptron that finds unhealthy signal in a continous heart beat. All code is public and can be manipulated for use. \n",
    "\n",
    "\n",
    "The data used will be from the MIT-BIH Arrhythmia Database. The following database, collecting data from as far as 1975 has 48 instances of 30 minute (360 samples/sec) ECG records from 47 patients at Beth-Israel Hospital. “Twenty-three recordings were chosen at random from a set of 4000 24-hour ambulatory ECG recordings collected from a mixed population of inpatients (about 60%) and outpatients (about 40%). The remaining 25 recordings were selected from the same set to include less common but clinically significant arrhythmias that would not be well-represented in a small random sample.” All data exists per patients in the form of csv files and instances of annotated by associate txt files."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 0,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 295
    },
    "colab_type": "code",
    "id": "m5FKwcApjxxa",
    "outputId": "15c80627-dc05-42e2-a208-0caffd8b66a4"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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hplEZ9Ns8DVNwXsaR9iQChmsLzqzwSW/tnm4AjppZm/M+bKau8WJnRwSAGWOs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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "tags": []
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt \n",
    "bpm = 60\n",
    "bps = bpm / 60\n",
    "capture_length = 2\n",
    "# plt.xlim(0,10)\n",
    "num_heart_beats = int(capture_length * bps)\n",
    "ecg_template = np.tile(pqrst_full , num_heart_beats) \n",
    "noise = np.random.normal(0, 0.01, len(ecg_template))\n",
    "ecg_template_noisy = noise + ecg_template\n",
    "\n",
    "# Plot the noisy heart ECG template\n",
    "plt.plot(ecg_template_noisy)\n",
    "plt.xlabel('Sample number')\n",
    "plt.ylabel('Amplitude')\n",
    "plt.title('Synthetic Heart Beat with Gaussian noise')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "zkG-XkMaTGDw"
   },
   "source": [
    "---\n",
    "# Signal Processing \n",
    "#### 1. Getting MIT Data Base  https://physionet.org/physiobank/database/html/mitdbdir/intro.htm\n",
    "#### 2. Selecting Relevant Classes \n",
    "#### 3. HB Isolation Algorithm\n",
    "#### 4. Filter and Resample \n",
    "#### 5. Push to Google COLAB GPU\n",
    "---"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "R7QVf79KTGDw"
   },
   "source": [
    "\n",
    "### Import Relevant Packages \n",
    "#### Make sure heartbeat.py and normalizer.py are in the same directory\n",
    "#### There also must be a folder called mit_data (attached in zip file) where all data is stored\n",
    "\n",
    "###### `heartbeat.py`  is a small written signal processing library and `normalizer.py` has several other util functions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 0,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "mLaQ8TZzTGDx",
    "outputId": "8b8c477e-6a7f-40cd-e642-978b519b4668"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Packages Loaded\n"
     ]
    }
   ],
   "source": [
    "import warnings\n",
    "#warnings.simplefilter(action='ignore', category=FutureWarning) #turn off irrelevant scipy future warning \n",
    "import heartbeat as hb\n",
    "import normalizer\n",
    "import importlib\n",
    "import random \n",
    "import time \n",
    "import pandas as pd \n",
    "import numpy as np\n",
    "from collections import Counter\n",
    "from scipy import signal\n",
    "from scipy.signal import find_peaks, resample\n",
    "import matplotlib.pyplot as plt \n",
    "import seaborn as sns\n",
    "import os \n",
    "from os import listdir\n",
    "from os.path import isfile, join\n",
    "import sys\n",
    "import warnings \n",
    "importlib.reload(hb)\n",
    "importlib.reload(normalizer)\n",
    "\n",
    "print('Packages Loaded')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "af2ugOYpTGD2"
   },
   "source": [
    "### Data is in the directory in a folder call mit_data with csv and txt files "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 0,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "N78Mf_U7TGD2",
    "outputId": "f062257b-b161-45f9-95ab-94919fec9b5f"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Files in Directory /Users/eddymina/Code/Python/Notebooks/DS4440/DS_Final/mit_data:\n",
      "\n",
      "-------------------------------\n",
      "\n",
      "['100.csv', '100annotations.txt', '101.csv', '101annotations.txt', '102.csv', '102annotations.txt', '103.csv', '103annotations.txt', '104.csv', '104annotations.txt', '105.csv', '105annotations.txt', '106.csv', '106annotations.txt', '107.csv', '107annotations.txt', '108.csv', '108annotations.txt', '109.csv', '109annotations.txt', '111.csv', '111annotations.txt', '112.csv', '112annotations.txt', '113.csv', '113annotations.txt', '114.csv', '114annotations.txt', '115.csv', '115annotations.txt', '116.csv', '116annotations.txt', '117.csv', '117annotations.txt', '118.csv', '118annotations.txt', '119.csv', '119annotations.txt', '121.csv', '121annotations.txt', '122.csv', '122annotations.txt', '123.csv', '123annotations.txt', '124.csv', '124annotations.txt', '200.csv', '200annotations.txt', '201.csv', '201annotations.txt', '202.csv', '202annotations.txt', '203.csv', '203annotations.txt', '205.csv', '205annotations.txt', '207.csv', '207annotations.txt', '208.csv', '208annotations.txt', '209.csv', '209annotations.txt', '210.csv', '210annotations.txt', '212.csv', '212annotations.txt', '213.csv', '213annotations.txt', '214.csv', '214annotations.txt', '215.csv', '215annotations.txt', '217.csv', '217annotations.txt', '219.csv', '219annotations.txt', '220.csv', '220annotations.txt', '221.csv', '221annotations.txt', '222.csv', '222annotations.txt', '223.csv', '223annotations.txt', '228.csv', '228annotations.txt', '230.csv', '230annotations.txt', '231.csv', '231annotations.txt', '232.csv', '232annotations.txt', '233.csv', '233annotations.txt', '234.csv', '234annotations.txt'] \n",
      "\n",
      "*** 96 data files ***\n",
      "\n",
      "All patients:\n",
      " ['100', '101', '102', '103', '104', '105', '106', '107', '108', '109', '111', '112', '113', '114', '115', '116', '117', '118', '119', '121', '122', '123', '124', '200', '201', '202', '203', '205', '207', '208', '209', '210', '212', '213', '214', '215', '217', '219', '220', '221', '222', '223', '228', '230', '231', '232', '233', '234']\n"
     ]
    }
   ],
   "source": [
    "print('Files in Directory {}:\\n'.format(os.getcwd()+'/mit_data'))\n",
    "print('-------------------------------\\n')\n",
    "onlyfiles = [f for f in listdir(os.getcwd()+'/mit_data') if isfile(join(os.getcwd()+'/mit_data', f))]\n",
    "print(sorted(onlyfiles)[1:],'\\n\\n***',len(onlyfiles)-1,'data files ***')   \n",
    "\n",
    "print('\\nAll patients:\\n',hb.all_patients())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "MPi5f3RHTGD5"
   },
   "source": [
    "### All Types of Heat Beat Conditions from the Data Base\n",
    "https://physionet.org/physiobank/annotations.shtml"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 0,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "fc5g35AYTGD5",
    "outputId": "7697a750-0194-4946-986f-4aba9a5194bd"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "MIT DATABASES CONDITIONS:\n",
      "\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "{'N': 'Normal beat',\n",
       " 'L': 'Left bundle branch block beat',\n",
       " 'R': 'Right bundle branch block beat',\n",
       " 'A': 'Atrial premature beat',\n",
       " 'a': 'Aberrated atrial premature beat',\n",
       " 'J': 'Nodal (junctional) premature beat',\n",
       " 'S': 'Supraventricular premature beat',\n",
       " 'V': 'Premature ventricular contraction',\n",
       " 'F': 'Fusion of ventricular and normal beat',\n",
       " '[': 'Start of ventricular flutter/fibrillation',\n",
       " '!': 'Ventricular flutter wave',\n",
       " ']': 'End of ventricular flutter/fibrillation',\n",
       " 'e': 'Atrial escape beat',\n",
       " 'j': 'Nodal (junctional) escape beat',\n",
       " 'E': 'Ventricular escape beat',\n",
       " '/': 'Paced beat',\n",
       " 'f': 'Fusion of paced and normal beat',\n",
       " 'x': 'Non-conducted P-wave (blocked APB)',\n",
       " 'Q': 'Unclassifiable beat',\n",
       " '|': 'Isolated QRS-like artifact'}"
      ]
     },
     "execution_count": 3,
     "metadata": {
      "tags": []
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "print(\"MIT DATABASES CONDITIONS:\\n\")\n",
    "hb.classes_further"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "_iE75Uc_TGD7"
   },
   "source": [
    "### Top k= 8 Most Common Conditions from Data Base + Count"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 0,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "IUBafXtcTGD8",
    "outputId": "fdb9b436-a33e-4a11-e6b8-a38c66fd8781"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[('N', 75052),\n",
       " ('L', 8075),\n",
       " ('R', 7259),\n",
       " ('V', 7130),\n",
       " ('/', 7028),\n",
       " ('A', 2546),\n",
       " ('+', 1291),\n",
       " ('f', 982)]"
      ]
     },
     "execution_count": 4,
     "metadata": {
      "tags": []
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "hb.most_common_conditions(patients=hb.all_patients(),top_k=8)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "086jHwBtTGD_"
   },
   "source": [
    "### Classes we will be examining (8)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 0,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "TP0MhpuGTGD_",
    "outputId": "c5807fea-8741-4e80-cfa8-8971c49202be"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Specific_classes to be examined:\n",
      "\n",
      "{0: 'N', 1: 'L', 2: 'R', 3: 'V', 4: '/', 5: 'A', 6: 'f', 7: 'F'} \n",
      "\n",
      "Class 1 condition: Normal beat\n",
      "Class 2 condition: Left bundle branch block beat\n",
      "Class 3 condition: Right bundle branch block beat\n",
      "Class 4 condition: Premature ventricular contraction\n",
      "Class 5 condition: Paced beat\n",
      "Class 6 condition: Atrial premature beat\n",
      "Class 7 condition: Fusion of paced and normal beat\n",
      "Class 8 condition: Fusion of ventricular and normal beat\n"
     ]
    }
   ],
   "source": [
    "print('Specific_classes to be examined:\\n')\n",
    "classes= {0:'N',1:'L',2:'R',3:'V',4:'/',5:'A',6:'f',7:'F'}\n",
    "print(classes,'\\n')\n",
    "for k,v in classes.items():\n",
    "    print('Class {} condition: {}'.format(k+1,hb.classes_further[v]))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 0,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "3A1jC4ALTGEB",
    "outputId": "749a27ac-f699-493c-f3a4-97bf7ee5b704",
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Generating_plot(s)...\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1800x1440 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light",
      "tags": []
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "classes= {0:'N',1:'L',2:'R',3:'V',4:'/',5:'A',6:'f',7:'F'}\n",
    "patient_dic=hb.distribution_bar(patients=hb.all_patients(),classes=classes)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "USEEH4qyTGED"
   },
   "source": [
    "### Lets' Reduce the Number of Classes. Not all patients are represented (Create a connecting Dictionary)\n",
    "\n",
    "all_classes --> {0:'N',1:'S',2:'V',3:'F',4:'Q'}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 0,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "tEFcNmhcTGEE",
    "outputId": "8fdb8a77-48c4-4389-dba0-1cf817fdb3cc"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "For class: N (Normal beat)\n",
      "  (N) Normal beat\n",
      "  (L) Left bundle branch block beat\n",
      "  (R) Right bundle branch block beat\n",
      "  (e) Atrial escape beat\n",
      "  (j) Nodal (junctional) escape beat\n",
      "For class: S (Supraventricular premature beat)\n",
      "  (S) Supraventricular premature beat\n",
      "  (A) Atrial premature beat\n",
      "  (a) Aberrated atrial premature beat\n",
      "  (J) Nodal (junctional) premature beat\n",
      "For class: V (Premature ventricular contraction)\n",
      "  (V) Premature ventricular contraction\n",
      "  (E) Ventricular escape beat\n",
      "For class: F (Fusion of ventricular and normal beat)\n",
      "  (F) Fusion of ventricular and normal beat\n",
      "For class: Q (Unclassifiable beat)\n",
      "  (/) Paced beat\n",
      "  (Q) Unclassifiable beat\n",
      "  (f) Fusion of paced and normal beat\n"
     ]
    }
   ],
   "source": [
    "classes= {0:'N',1:'S',2:'V',3:'F',4:'Q'}\n",
    "classes_reducer={'N':['N','L','R','e','j'],\n",
    "                 'S':['S','A','a','J'],'V':['V','E'],'F':['F'],'Q':['/','Q','f']}\n",
    "for c, subclass in classes_reducer.items():\n",
    "    print('For class:',c, '({})'.format(hb.classes_further[c]))\n",
    "    for i in subclass:\n",
    "        print(\"  ({})\".format(i), hb.classes_further[i])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "rZqrtKCuTGEG"
   },
   "source": [
    "#### Classes_reducer is an optional argument that can be used to link one class to another\n",
    "##### Patient Dic is a dictionary that has relevant class proportion information "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 0,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "9ZQjj4pBTGEH",
    "outputId": "58e46a07-67b4-4296-c7f8-3343460361b3"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Generating_plot(s)...\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1800x1440 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light",
      "tags": []
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "patient_dic=hb.distribution_bar(patients=hb.all_patients(),classes=classes,\n",
    "                                classes_reducer=classes_reducer)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "DiWXnGvrTGEJ"
   },
   "source": [
    "We notice a better distribution with joined classes. If we remove Normal conditions we can see this a little more clearly. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 0,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "u30kn1MuTGEJ",
    "outputId": "0124cd10-2d6e-4890-a173-1c94b4e3ea6c"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Generating_plot(s)...\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1800x1440 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light",
      "tags": []
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "classes_wo_N= {0:'S',1:'V',2:'F',3:'Q'}\n",
    "patient_dic=hb.distribution_bar(patients=hb.all_patients(),classes=classes_wo_N,\n",
    "                                classes_reducer=classes_reducer)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "2s04KnmgTGEM"
   },
   "source": [
    "### Examing sample heart rate data \n",
    "#### Run Cell As Many Times as you like to see how different patients look like (Peaks in Orange)\n",
    "`hb.all_patients` : list of all patients 100 ~ 234 (48 total)<br/>\n",
    "`hb.get_patient_data(patient,norm=True, sample_plot=False)`: function to plot<br/>\n",
    "&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Assumes that all folder called mit_data is next folder \n",
    "    in current directory. \n",
    "<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Can change this function internally or write your own personalized one. <br/>\n",
    "<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Input: \n",
    "<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;`patient`: Patient Number [Str or Int]\n",
    "<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;`norm`: (optional) =True --> Normalize Data \n",
    "<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;`sample_plot`: (optional) Show Patient ECG Signal [True or False]\n",
    "<br/><br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Output: (If sample_plot == True: only output is a sample figure plot)\n",
    "<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Normalized Signal Data, Ecg Notes \n",
    "<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;`Ecg_Notes`: Labeled Sample Peaks and Heart Conditions \n",
    "<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;`Ecg_Data`: np.array of signal"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 0,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "YlY17hQYTGEN",
    "outputId": "9b2b0eb0-97d1-4cca-ce61-289db16adaf8"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light",
      "tags": []
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "patient=random.choice(hb.all_patients())\n",
    "hb.get_patient_data(patient,norm=False,sample_plot=True)\n",
    "plt.ylabel('Un-normalized Voltage')\n",
    "plt.xlabel('Sample #')\n",
    "plt.draw()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 0,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "yto9YEw7TGEQ",
    "outputId": "668bb444-5ea4-4604-cb00-1cc1774f56ae",
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Labeled Heart Beats  | Signal Data\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table style=\"display:inline\" border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>sample_num</th>\n",
       "      <th>type</th>\n",
       "      <th>aux</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>7</td>\n",
       "      <td>+</td>\n",
       "      <td>(N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>83</td>\n",
       "      <td>N</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>396</td>\n",
       "      <td>N</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>711</td>\n",
       "      <td>N</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1032</td>\n",
       "      <td>N</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table style=\"display:inline\"><table style=\"display:inline\" border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>signal</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>955</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>955</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>955</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>955</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>955</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table style=\"display:inline\">"
      ]
     },
     "metadata": {
      "tags": []
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "signal,ecg_notes=hb.get_patient_data(patient=101,norm=False,sample_plot=False)\n",
    "from IPython.display import display_html\n",
    "def display_side_by_side(*args):\n",
    "    html_str=''\n",
    "    for df in args:\n",
    "        html_str+=df.to_html()\n",
    "    display_html(html_str.replace('table','table style=\"display:inline\"'),raw=True)\n",
    "\n",
    "print(\"Labeled Heart Beats  | Signal Data\")\n",
    "display_side_by_side(ecg_notes.head(),signal.to_frame().head())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "wXFDawPGTGET"
   },
   "source": [
    "### Examining the Best Techniques to Normalizing data \n",
    "`hb.moving_average`: Numpy based moving average function.\n",
    "    Input: signal and window size |\n",
    "    Output: averaged signal\n",
    "    \n",
    "  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 0,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "C-9N7bCOTGET",
    "outputId": "92bd9289-ba74-4317-d7d7-82d4667be305"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "PATIENT: 231\n",
      "\n",
      "Norm 1: Creates a mean of 0, and a std of 1\n",
      "Norm 2: Creates a mean of 0, and y range from [-1 1]\n",
      "Norm 3: Creates a y range from [0 1]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x720 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light",
      "tags": []
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Selected Norm = 3\n"
     ]
    }
   ],
   "source": [
    "patient=random.choice(hb.all_patients())\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "def compare(patient,length,window=10):\n",
    "    print(\"PATIENT: {}\\n\".format(patient))\n",
    "    sig,notes= hb.get_patient_data(patient,norm=False)\n",
    "    m=hb.moving_average(sig,10)\n",
    "    n = np.random.choice(10*length)\n",
    "    plt.figure(figsize=(20,10))\n",
    "    \n",
    "    plt.subplot(221)\n",
    "    plt.plot(sig[0:length])\n",
    "    plt.plot(m[0:length],label='Moving avg')\n",
    "    plt.legend()\n",
    "    plt.title('Original Signal')\n",
    "    \n",
    "    \n",
    "    print(\"Norm 1: Creates a mean of 0, and a std of 1\")\n",
    "    plt.subplot(222)\n",
    "    plt.plot(normalizer.z_norm_b(sig)[0:length])\n",
    "    m=hb.moving_average(normalizer.z_norm_b(sig),window)\n",
    "    plt.plot(m[0:length],label='Moving avg')\n",
    "    plt.legend()\n",
    "    plt.title('Norm 1')\n",
    "    \n",
    "    print(\"Norm 2: Creates a mean of 0, and y range from [-1 1]\")\n",
    "    plt.subplot(223)\n",
    "    plt.plot(normalizer.z_norm2(sig)[0:length])\n",
    "    m=hb.moving_average(normalizer.z_norm2(sig),window)\n",
    "    plt.plot(m[0:length],label='Moving avg')\n",
    "    plt.legend()\n",
    "    plt.title('Norm 2')\n",
    "\n",
    "    \n",
    "    print(\"Norm 3: Creates a y range from [0 1]\")\n",
    "    plt.subplot(224)\n",
    "    plt.plot(normalizer.z_norm(sig)[0:length])\n",
    "    m=hb.moving_average(normalizer.z_norm(sig),window)\n",
    "    plt.plot(m[0:length],label='Moving avg')\n",
    "    plt.legend()\n",
    "    plt.title('Norm 3')\n",
    "    plt.show()\n",
    "    \n",
    "compare(patient=patient,length=300)\n",
    "print('Selected Norm = 3')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 0,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "IupqGfaaTGEW",
    "outputId": "94b6a4fc-6574-4d0b-e1ab-c1fc3f28ed33"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light",
      "tags": []
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "hb.get_patient_data(patient=231,norm=True,sample_plot=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "X7S8AFo7TGEY"
   },
   "source": [
    "### NORM 3 selected and used to normalize data \n",
    "`hb.get_patient_data()` with norm flag = True\n",
    "    \n",
    "  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 0,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "1zy2LKBRTGEZ",
    "outputId": "462bdd78-1424-479d-8550-31fa2ed8dfd1"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light",
      "tags": []
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "patient=random.choice(hb.all_patients())\n",
    "\n",
    "hb.get_patient_data(patient,norm=True,sample_plot=True)\n",
    "plt.ylabel('Normalized Voltage')\n",
    "plt.xlabel('Sample #')\n",
    "plt.draw()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "BnhVE9qcTGEb"
   },
   "source": [
    "### Examing Relevance of Frequency in the Model\n",
    "#### Run Cell As Many Times as you like to see how different patients look like (Patient Num as Title)\n",
    "\n",
    "`filt` is a class of various filtration functions \n",
    "\n",
    "`filt.low_pass_filter_plot(self,patient,cutoff,fs=360,order=5)` function to show butter worth low pass filter impact<br/>\n",
    "\n",
    "<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Input: \n",
    "<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;`patient`: Patient Number [Str or Int]\n",
    "<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;`cutoff`: cutoff frequency\n",
    "<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;`fs`: sample frequency (samples/sec)\n",
    "<br/><br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Output: (Subplots) \n",
    "\n",
    "&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;FFT (FAST \n",
    "FOURIER TRANSFORM)\n",
    "<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Filter Frequency Response\n",
    "<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Example of Filtered signal compared to orignal\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 0,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "bL9hguh_TGEc",
    "outputId": "704a3621-c5d4-48f4-f43c-2a1e53835ed4"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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NrXH7sM/nMHFucZ2PKyIiIiIiIg2bCk8iGaa51d5j6exG/wNgV1uQlDY/+37pT4+tmn1ueG1SUtoSEZH0MbMnzWyRmcX9R9wCD5rZdDObaGYHpDujiIiI5DYVnkRkI1Zd5UlERLLRv4Hjath+PNAxXPoBj6Yhk4iIiDQgjaIOICL1t599n/I2Vq8rT3kbIiKSXO4+ysw61LBLL+Bpd3dgjJm1NLMd3L3GLrUlJY145ZWN18X74iKT16Xi+F9+2YqystS0kSnnLdF1VZ9//fWWbLkl5OdDo0bV/6xuW56+LhcRyVoqPInkgD3y5iXtWNV1ePp2UUnS2hARkYzRFpgT83xuuG6TwpOZ9SPoFQX8jFNOSUO6rNMl6gAZ7Gf1erWZk5fn5Oc7jRtXbLI0abLx84KC4GdhYQXNmpXRrFk5zZqV0bx5/J9bbVVGfn76b7ZSUlJCUVFR2tvNdMXFxZSXl+vcxKHPTPV0buLLhPOiwpOIiIhIwxXv+4a4f327+yBgEECHDnv58OGx2+Ltn7nrUnX88ePHs//++ye9jUw5b4mui7fPl19OZN99O1NWBuXlxP1Z07bycqOszCgrg9LSfNauZaNlzZoNj4uLNzxevRpWrID16zfNVFWrVtCmDWy7bfCzctl+e2jfHnbaKVhat07e1ARFRUV07949OQfLIS1btqS4uFjnJg59ZqqncxNfJpwXFZ5EspBX2y+p/t6furjabWvXl9Moz2iUr/7uIiI5Yi6wU8zzdsD82l7UpEkFnTunLFPWKitbzi9+EXWKzNSs2VKi+rvHHUpLgwJUvKW4GH78ERYv3rBMmwYffxysr6jY+HhNmwYFqPbtYbfdYM89oVOnYNl552BooIiIbKDCk4gkbM8b3qVHpzY8dd7BUUcREZHkGA78ycyGAYcAy2ub30kk25hBYWGwbLtt3V5bUREUoubMgdmzgyX28YsvwrJlG/Zv0gQ6doTOneGAA4Jl//2hZcvkvicRkWyiwpOI1ElNPaJERCSzmNnzQHdgGzObC9wEFAC4+0DgbeAEYDqwGjgvmqQimSkvD7bbLlgOPHDT7e5Br6ipU+Gbbzb8/PBDeO65DfvtuiscdBAcfjgccQTss48mTBeRhkOFJ5Eck8pheCIikl3c/axatjtwSZriiOQcsw1zQVUdZrl4MYwfD198AePGBUP3Xngh2NaqVbB/+/Ztads26CUlIpKrVHgSyTEWf05YEREREUmjNm3gmGOCBYLeUbNmwahRG5Y33ujII4/A7rvDCScEy5FHQkFBtNlFRJJJHTxFspB75vZqmvnjKt6b/EPUMUREREQyihl06AB9+sDgwcEE5s8+O4aHH4Y99oBBg+C444K76F14Ibz/fnBXPxGRbJeywpOZPWlmi8xsUsy6rc3sv2b2bfizVbjezOxBM5tuZhPN7IBU5RLJdekYard2ffVXQT3uKaLf0HEpzyAiIiKS7XbccS2XXAJvvQVLl8LrrwfFp2efDXo+tWsHV14ZFKlERLJVKns8/Rs4rsq6/sBId+8IjAyfAxwPdAyXfsCjKcwlIvU0YMTUare5RvqJiIiI1FnTpnDyyUHRadGi4I553brBAw9Ap07QowcMGwalpVEnFRGpm4QKT2bW1Mw61eXA7j4KWFpldS9gSPh4CNA7Zv3THhgDtDSzHerSnkhDcmj+lEjbX7JqXaTti4iIiOSyZs3gtNPg1Vdhzhy4/fZgfqizzoJddoG77oLi4qhTiogkptbCk5mdBEwA3g2fdzWz4ZvZ3nbuvgAg/LltuL4tMCdmv7nhunh5+pnZWDMbu5kZRHJGJk8kPmX+ClauXR91DBEREZGstv32cO21MH06vPsu7Lcf9O8P7dsHw/AWLIg6oYhIzRLp8XQzcDBQDODuE4AOSc4Rb1KauH9Ru/sgdz/Q3Q9McgYRSZAnMJ7uhAc/5LynPk9DGhEREZHcl5cHxx4LI0bA+PFw0klw//2w225w9dWwZEnUCUVE4kuk8FTm7suT1N7CyiF04c9F4fq5wE4x+7UD5iepTZGcFW8i8Xh3vGtEGcflfUY19dyUGTtrWVrbExEREWkIunYN5oKaNi0YkjdgQDAE7+9/h5KSqNOJiGwskcLTJDM7G8g3s45m9hDwyWa2NxzoGz7uC7wes75PeHe7bsDyyiF5IlJ/f230MgMb30/3vAlRRxERERGRJNl1VxgyBL76Co4+Gm66CfbcE55/Xjd8EZHMkUjh6c/APkAp8DywAvhrbS8ys+eB0UAnM5trZucDdwJHm9m3wNHhc4C3gRnAdOBx4OI6vg+RBqm5rU1ovx0t6HvdiuR8BVZ5HbN4ZSmDP5xR49C76YtWslSTkYuIiIikzD77wMsvwyefBHNCnX02/PKX8OWXUScTEYFGte3g7quB68MlYe5+VjWbjoqzrwOX1OX4IgI988dsss4sfV9vXfr8eEbPWMLPd9uGvXdsEXefX907itbNGzPuhqPTlktERESkITr0UPj0U3jyyWBC8gMOgKuugptvhsLCqNOJSENVbeHJzN6ghglh3P3klCQSkYxX2cFpRXjXuopa+nIvUY8nERERkbTIz4cLLoBTTgmKTnfdBa+/HhSjDj006nQi0hDVNNRuAHAP8D2whmAI3ONACTAp9dFEJB2mLVzJyrCAJCIiIiK5Yeut4Ykn4N13YdUqOOywoBBVWhp1MhFpaKrt8eTuHwCY2T/c/YiYTW+Y2aiUJxORpNieJWzNymq3H3Of/ncWERERyVXHHguTJsHVVwd3v3v/fRg2DHbfPepkItJQJDK5eBsz27XyiZntArRJXSQRSaYxhX+me35yZ5bUTVJEREREskeLFjBwILz2GsyYAfvvD889F3UqEWkoEik8XQYUmVmRmRUB75PAXe1EJBruBsCF+W9wUt4nG22zFJWMVq4tY17xmpQcW0RERESSo1cvmDABunSBc84J5oLS0DsRSbVE7mr3rpl1BPYMV33j7vrnSSTDXVvwfMrbqJxT/KzHg7vrzbzzxJS3KSIiIiKbr317KCqCG2+EO+6AyZPh5Zdhhx2iTiYiuarWwpOZ9amyqouZ4e5PpyiTiGQ4r+UudiIiIiKSuRo1gttvhwMOgL594aCD4NVXg58iIsmWyFC7g2KWw4GbgZNTmElERERERERS7NRT4ZNPoKAADj8cnk99h3kRaYASGWr359jnZrYVMDRliUQkZRyLOoKIiIiIZJAuXeDzz+GUU+Dss2HePLjiCjBdNopIkiTS46mq1UDHZAcRkeyhgXYiIiIiuWObbeC99+D00+Gqq+Cyy6CiIupUIpIrEpnj6Q02/J2ZB+wNvJTKUCKSnb5bXBJ1BBERERHZDE2aBEPtdtwR7r8/6Pk0dCgUFkadTESyXa2FJ2BAzOMyYJa7z01RHhHJIlV7Ph11zweR5BARERGR+svLg/vug512CobbrVgRTDrerFnUyUQkmyUy1O4Ed/8gXD5297lmdlfKk4nIZnFgf/s27jZL0iC5tyYuSMpxRERERCTzXH45PPkk/Pe/0LMnlKhTu4jUQyKFp6PjrDs+2UFEJHlebXJT1BFEREREJIudd14w1O6DD+C444LeTyIim6PaoXZm9kfgYmBXM5sYs2lL4ONUBxMREREREZHonHMONG4c3O3u6KODCci32irqVCKSbWqa4+k54B3gDqB/zPqV7r40palEJCu46/52IiIiIrnstNOC4tOpp8KJJ8KIEdC8edSpRCSb1DTUzt19JnAJsDJmwcy2Tn00EcllS1etY8Kc4qhjiIiIiEgtevWC556D0aOhd29YuzbqRCKSTWrr8dQTGEcwX7HFbHNg1xTmEpEc95t/fczMJauZeeeJUUcRERERkVqcdhqsXg3nngunnw4vvwwFBVGnEpFsUG3hyd17hj93SV8cEamvU/I/rHZbvlWkMUnNZi5ZHXUEEREREamDvn1h1Sq45BL43e+CXlB5idyuSkQatJp6PP3EzNoCO8fu7+6jUhVKRDbfYfmTq91WyDoKKaUJ61nOFmlMJSIiIiK54OKLoaQErrkGdtgB7rsv6kQikulqLTyZ2V3AGcAUoDxc7YAKTyJZ6K3G17Fb3gI6rH0u6igiIiIikoWuugrmz4f774eddoLLL486kYhkskR6PPUGOrl7aarDiEjq7Za3ICnHGTpmFgtXaGZJERERkYbGDO69F+bNgyuugB13hDPPjDqViGSqRApPM4ACQIUnEfnJDa9NijqCiIiIiEQkLw+GDoWFC4O5n7bfHrp3jzqViGSiRApPq4EJZjaSmOKTu1+aslQiIiIiIiKS0QoL4bXX4Be/gN69YcwY2HPPqFOJSKZJpPA0PFxEREREREREfrL11vDOO3DQQXDSSfDpp8E6EZFKtRae3H1IOoKIiIiISPKZ2XHAA0A+MNjd76yyvT0wBGgZ7tPf3d9Oe1ARyVo77wyvvgo9esDppweFqIKCqFOJSKbIq20HM/vKzCZWWT40s/vMrHU6QoqIiIhI3ZlZPvAIcDywN3CWme1dZbe/AS+6+/7AmcC/0ptSRHLBYYfBoEEwcqTuciciG0tkqN07QDlQee/1MwEDlgP/Bk5KSTIRSTrDI21/9boy1qwr54vZxZHmEBFpQA4Gprv7DAAzGwb0AqbE7ONAi/DxVsD8tCYUkZxx7rkwaRLccw/suy9ceGHUiUQkEyRSeDrM3Q+Lef6VmX3s7oeZ2W9TFUxEcs8B//gva9dXbLSurLyCRvm1dr4UEZHN0xaYE/N8LnBIlX1uBt4zsz8DzYFfxTuQmfUD+gG0adOGoqKiZGfNeiUlJTov1dC5iS8Xz8vxx8NHH+3HJZe0Ys2aiXTtWvcvHIuLiykvL8+5c5MMufiZSRadm/gy4bwkUnjawswOcfdPAczsYGCLcFtZypKJSNI5Fmn7VYtOALtf/w4fXdODdq2aRZBIRCTnxfuHv2r317OAf7v7PWZ2KDDUzPZ1943+0Xb3QcAggE6dOnl33Td9E0VFRei8xKdzE1+unpcDD4Ru3eCOO7ryxRfQtm3dXt+yZUuKi4tz8tzUV65+ZpJB5ya+TDgviXQz+AMw2My+N7OZwGDgAjNrDtyRynAikjve+WpBtdu+W7wqjUlERBqUucBOMc/bselQuvOBFwHcfTRQCGyTlnQikpO22gpeeQVWrYLTToN166JOJCJRqrXw5O6fu/t+QFegq7t3dvfP3H2Vu7+Y+ogikgv++OwXUUcQEWmIPgc6mtkuZtaYYK7O4VX2mQ0cBWBmexEUnhanNaWI5Jy99oInn4TRo+HKK6NOIyJRSmSoHWZ2IrAPUGgW9Nh297+nMJeIpEDUk4uLiEh6uXuZmf0JGAHkA0+6+2Qz+zsw1t2HA1cAj5vZZQTD8M51d/3CEJF6O/30oPB0//3B0Luzz446kYhEodbCk5kNBJoBPQiG2Z0KfJbiXCLSQK1dX860hSvp3K5l1FFERHKCu78NvF1l3Y0xj6cAh1V9nYhIMtx9N4wdCxdcAJ07B3e7E5GGJZE5nn7u7n2AZe5+C3AoG88VUGdmdpmZTTazSWb2vJkVhl3APzWzb83shbA7uIg0ALFfrF//6iROfvhj5heviTCRiIiIiCRDQQG8+CK0aAG/+Q2sWBF1IhFJt0QKT5V//a02sx2B9cAum9ugmbUFLgUOdPd9Cbp9nwncBdzn7h2BZQQTXYpIAzNxbnH4c3nESUREREQkGXbYAV54AWbMgAsvBA3mFWlYEik8vWlmLYF/Al8AM4Fh9Wy3EdDUzBoRDONbABwJ/CfcPgToXc82RKSKvxcMiTpCXNMWrtxk3UXPjGN9eUWcvUVEREQk2xxxBNxyCwwbFkw6LiINRyJ3tfuHuxe7+8vAzsCe7n7D5jbo7vOAAQR3UFkALAfGAcXuXhbuNhdoG+/1ZtbPzMaa2djNzSAimeX2t7+Ju75CX4eJiIiI5Iz+/eGoo+DPf4YpU6JOIyLpUu3k4mb2mxq24e6vbE6DZtYK6EUwXK8YeAk4Ps6ucf/idPdBwCCAA3fM11+lIiIiIiIiWSA/H4YOhS5d4Iwz4LPPoGnTqFOJSKrVdFe7/wATwgXAYrY5sFmFJ+BXwPfuvhjAzF4Bfg60NLNGYa+f1DH0AAAgAElEQVSndsD8zTy+iIiIiIiIZKAddgiKT8cdB5ddBgMHRp1IRFKtpqF2pwDTgM7A98Bt7n5euPy+Hm3OBrqZWTMzM+AoYArwPnBquE9f4PV6tCEiDciPJaW8NXFB1DFEREREJAHHHgtXXw2PPQYvvRR1GhFJtWoLT+7+qrufCfwS+A64x8w+MrNf1qdBd/+UoDfVF8BXYYZBwDXA5WY2HWgNPFGfdkQk+yU6xdN5T33OJc99wfLV61MbSERERESS4tZb4ZBD4IIL4Pvvo04jIqmUyF3t1hJMAL4CaA4U1rdRd7/J3fd0933d/XfuXuruM9z9YHff3d1Pc/fS+rYjIg3DvOI1AJRV6C54IiIiItmgoCC4wx3AOedAWVnN+4tI9qq28GRmPcxsEMEd53oAD7j7/u4+Im3pRERC0xauZOoPK6OOISIiIiJJ0qFDMNxu9Gi4446o04hIqtQ0ufhIYCLwEdAE6GNmfSo3uvulKc4mIvKTY+4bBcDMO0+MOImIiIiIJMsZZ8Abb8AttwRzPx18cNSJRCTZaio8nZe2FCIiIiIiItIgPfwwfPhhMORu/Pio04hIslVbeHL3IekMIiKSDO5OcMNMEREREckGLVvC009Djx5w8snPMmbMGEpLS+nQoQO33XYb55xzTtQRRaQeEplcXERy0G42L+oIG3F3PNHb2FWjaOpidrn2babMX5GkVCIiIiKSDr/8JZx44rO8/34/SkuD+0zNmjWLfv368eyzz0acTkTqQ4UnkQbqncb9o46wkT8MGcsu175dr2P839cLARg3e1kyIomIiIhIGk2ceD2weqN1q1ev5vrrr48mkIgkhQpPIg1UYyuPOsJGRn6zqNpts5asSmMSEREREYnCnDmz466fPTv+ehHJDjVNLo6ZFQI9gcOBHYE1wCTgLXefnPp4IpJKLVjFCppHHaNW0xaWRB1BRERERFKsffv2zJo1K+56Ecle1fZ4MrObgY+BQ4FPgceAF4Ey4E4z+6+ZdU5HSBFJjYmFF0Qdoc6Kpi7i9re/jjqGiIiIiCTZbbfdRrNmzTZaV1jYjNtuuy2iRCKSDDX1ePrc3W+uZtu9ZrYtoNKzSI5owjp2s/lM8Q6R5qhtevFzn/ocgOtO2Cv1YUREREQkbSrvXnf++edTWlpKXt7OtGt3G2eeqbvaiWSzans8uftbNb3Q3Re5+9jkRxKRKAwoGMjbTa6jFbl3R7jJ85fz12HjKa+o313zRERERCS1zjnnHLp160aXLl0YOnQm06efwz33RJ1KROqj1snFzexAM3vVzL4ws4lm9pWZTUxHOBFJnwPyvgWgKesiTpJ8f3zmC16bMJ+5y1bXvrOIiIiIZISzzoJTToEbboBJk6JOIyKbq8bJxUPPAlcBXwEVqY0jIrKBq4OSiIiISINlBo8+CqNGQZ8+8OmnUFAQdSoRqataezwBi919uLt/7+6zKpeUJxMRCVkt210VKhEREZGc1KYNDBoE48eD5hgXyU6J9Hi6ycwGAyOB0sqV7v5KylKJSNpZrdN6p5/VVnGqbn8VokRERERyRu/e8Nvfwq23wkknwc9+FnUiEamLRApP5wF7AgVsGGrngApPIjnkp5pNrf2LMpdlcXYRERERqd6DD8L//hcMuRs3DgoLo04kIolKpPDUxd33S3kSEckIudxXSB2hRERERLJTq1bwxBNw/PFw441w991RJxKRRCUyx9MYM9s75UlEJGO81PhmJjS5IOoYSSsU1XXInoiIiIhknuOOg379YMAA+OSTqNOISKISKTz9AphgZlPNbKKZfWVmE1MdTESi0Tv/Yw7Km0ZLWxV1FF4aN4eLho6LOoaIiIiIZIgBA2DnnaFvX1gV/eWqiCQgkaF2x6U8hYhEKp9ydrClAPwi76uI02xw4+uTAejVdceIk4iIiIhIJthyS3jqKejRA/r3h4ceijqRiNQmkR5PXs0iIjniykYv/vQ4EycXnzC3uE77r1hblqIkIiIiIhK17t3hL3+Bhx+GkSOjTiMitUmk8PQW8Gb4cyQwA3gnlaFEJL0OypsadYQaPfbBjDrt/88RU3lr4oJN1qtiLiIiIpIbbr8d9tgDzjsPli+POo2I1KTWwpO77+funcOfHYGDgY9SH01EopCJPZ7iWb5mfY3bP/nux58eZ8c7EhEREZFENWsGQ4bAvHlw+eVRpxGRmiTS42kj7v4FcFAKsoiIJOym1ycxfdHKqGOIiIiISES6dYNrroEnn4Q334w6jYhUp9bJxc0stn6cBxwALE5ZIhGRBLw2YT6vTZjP1Fs33P/gra82HV4nIiIiIrnrppuCotMFF8CkSdC6ddSJRKSqRHo8bRmzNCGY66lXKkOJSMO1oHhNnfYvr4g/c9Ozn87m6dEzeXfSD8xcsjoJyUREREQk0zRpAk8/DT/+CH/+c9RpRCSeGns8mVk+sIW7X5WmPCLSwK1aV560Yw0s+o75y9dutK60rJxOf3uXy4/eg0uP6pi0tkREREQkGl27Bj2fbrgBfv1rOO20qBOJSKwaezy5eznB0DoRaSCyZXLxzeHurC4NCltPfvx9xGlERNLDzI4zs6lmNt3M+lezz+lmNsXMJpvZc+nOKCJSX/37w0EHwR//CAsXRp1GRGIlMtRugpkNN7PfmdlvKpeUJxORtPGNHm8oPBVSygMFD9OG4vSHEhGRegt7rz8CHA/sDZxlZntX2acjcC1wmLvvA/w17UFFROqpUaPgLnclJdCvH3j82RhEJAKJFJ62BpYARwInhUvPVIYSkeh0z//yp8f/bXw1vfI/4cpGL0aYqHbJvq6YsbiEGYtLknxUEZFIHAxMd/cZ7r4OGMamc3VeADzi7ssA3H1RmjOKiCTFXnvB7bfD8OEwdGjUaUSkUq13tQMGu/vHsSvM7LAU5RGRNNuWZRSyLu62nfIa5g0sj7znAwBm3nlixElEROqtLTAn5vlc4JAq++wBYGYfA/nAze7+btUDmVk/oB9AmzZtKCoqSkXerFZSUqLzUg2dm/h0XuIrLi6mvLx8s85Nly7QuXNXLr54CwoLP2fbbUuTHzBC+sxUT+cmvkw4L4kUnh5i03me4q0TkSz0WeElUUeot+pmpVIPaxGRuP9EVv3nsRHQEegOtAM+NLN93X2jcdbuPggYBNCpUyfv3r170sNmu6KiInRe4tO5iU/nJb6WLVtSXFy82efmlVeCAtTgwYcyYgRYDk1hqs9M9XRu4suE81Jt4cnMDgV+DrQxs8tjNrUg+DZMRCSrbDSXlapSItIwzAV2inneDpgfZ58x7r4e+N7MphIUoj5PT0QRkeTabTcYMCCYaPyxx+Cii6JOJNKw1TTHU2NgC4Li1JYxywrg1NRHExGp3ahpP7Js9fq421auLdtkXS594yUikoDPgY5mtouZNQbOBIZX2ec1oAeAmW1DMPRuRlpTiogk2YUXwtFHw5VXwnffRZ1GpGGrtvDk7h+4+y1AN3e/JWa5192/rU+jZtbSzP5jZt+Y2ddmdqiZbW1m/zWzb8OfrerThogkTyZ3DrromXHVbisp3bTwVGn5mvX8/Y0pqYgkIpIx3L0M+BMwAvgaeNHdJ5vZ383s5HC3EcASM5sCvA9c5e5LokksIpIcZvDEE5CfD+edB+XlUScSabgSuavdYDNrWfnEzFqZ2Yh6tvsA8K677wl0IbgQ6g+MdPeOwMjwuYhkgFztJPTkx99HHUFEJOXc/W1338Pdd3P328J1N7r78PCxu/vl7r63u+/n7sOiTSwikhw77QQPPggffggPPBB1GpGGK5HC0zaxk0uGt9rddnMbNLMWwBHAE+Hx1oXH7wUMCXcbAvTe3DZERNJhwfI1LFq5NuoYIiIiIlKNPn3g5JPhuuvg66+jTiPSMCVSeKows/aVT8xsZ+o38mZXYDHwlJmNN7PBZtYc2M7dFwCEP+MWt8ysn5mNNbOx9cggIlJnf3vtK84cNPqn54fe8T8Ovm1khIlEREREpCZmwQTjW2wBfftCWfUzMYhIiiRSeLoe+MjMhprZUGAUcG092mwEHAA86u77A6uow7A6dx/k7ge6+4H1yCAiDVAid7JbX15R7bZnxsxmzIylSUwkIiIiIqm2/fbw6KPw+edw111RpxFpeGotPLn7uwSFoheAF4GfuXt95niaC8x190/D5/8Jj7/QzHYACH8uqkcbIpJErWwlu9m8qGOkxYD3pkYdQURERESS7LTT4Mwz4ZZbYMKEqNOINCy1Fp7MzIDjgAPc/Q2gmZkdvLkNuvsPwBwz6xSuOgqYQnBr377hur7A65vbhogk1zH54xjZ5KqoYySF1TJV+rQfVqYpiYiIiIik08MPQ+vWwZC70tKo04g0HIkMtfsXcChwVvh8JfBIPdv9M/CsmU0EugK3A3cCR5vZt8DR4fOabbdvPWOIiNTf9EUqVomIiIhkutat4fHHYeLEoOeTiKRHIoWnQ9z9EmAt/HRXu8b1adTdJ4TzNHV2997uvszdl7j7Ue7eMfxZ+0Qq+QWUekF9ooiI1Nuv7h0VdQQRERERSUDPnvD73wdzPX30UdRpRBqGRApP680sn/BOdmbWBqh+9t00e6vikKgjiEiWuPWtKVFHEBEREZGI3X8/7LIL/Pa3sHx51GlEcl8ihacHgVeB7czsNuAjgqFxIiJZpWjq4qgjiIiIiEjEttwSnnkG5s6FSy6JOo1I7kvkrnbPAlcTFJvmA73d/aVUBxMRiYJHHUBEREREUq5bN7jxRnj2WXj++ajTiOS2RHo8ATQD8sP9m6YujohIitV8UzsRERERaSCuuw5+/nP44x9h1qyo04jkrloLT2Z2IzAE2BrYBnjKzP6W6mCJatuyMOoIIpJFpi3UHehEREREBBo1gqFDoaIC+vSB8vKoE4nkpkR6PJ0FHOTuN7v7TUA34JzUxkrcntu3iDqCSIPxcMGD/Drvw6hj1MtpA0dv9HzszNpvoCkiIiIiuWnXXeGhh2DUKLj77qjTiOSmRApPM4HYbkVNgO9SkmYzbNGkUdQRRBqMnvljuK/xo1HHSKpTB45m0rzl3PXuN5zwQHYX1URERESk7vr0gdNPD+Z8Gjs26jQiuSeRwlMpMNnM/m1mTwGTgBIze9DMHkxtPBHJTLk1BfePJaU8WvQdUxaswHPrrYmIiIhILcxg4EDYfns45xxYtSrqRCK5JZHC06vAdcD7QBFwPfAOMC5cRKSBOTd/RNQRRERERESSplUrePpp+PZbuOyyqNOI5JZax6m5+xAAMysA9gXmufuiVAdLlO/QGSa9GHUMkQalS953oMkXRURERCSH9OgBV18Nd90Fv/pVMPxOROqv2h5PZjbQzPYJH28FfAk8DYw3s7PSlK9W5T/7fdQRREREREREJAf84x/QrRtccAHMmBF1GpHcUNNQu8PdfXL4+DxgmrvvB/wMuDrlyRJmUQcQaXAsx+Z4mjh3edQRRERERCQDFBTA889DXh6ccQasWxd1IpHsV1PhKfZ/saOB1wDc/YeUJhIRSbN7/zutzq8pK69IQRIRERERiVqHDvDEE8Ed7vr3jzqNSParqfBUbGY9zWx/4DDgXQAzawQ0TUc4EclMudzPsLSs9smrVq5dT8+HPkpDGhERERGJwm9+A5dcAvfdB2++GXUakexW0+TiFwIPAtsDf43p6XQU8Faqg4lI5sq1oXaxxsxYWus++9383ibr1q4vp7AgPxWRRERERCQCAwbAxx9D377w5ZfQrl3UiUSyU7U9ntx9mrsf5+5d3f3fMetHuPsVaUknIhKh4V/OT+nxR369kD5PfpbSNkRERERk8xQWwgsvQGkpnHUWlJVFnUgkO9V0V7u/mVmrGrYfaWY9UxNLRDJZLvd4inXp8+Mpr0jdez1/yFhGTVuMe8M4nyIiIiLZZo89YOBA+OgjuPnmqNOIZKeahtp9BbxpZmuBL4DFQCHQEegK/B9we8oTikjGyeU5nqpKx3t1B2tIJ1VEREQki/z2t/D++3DbbXDooXDiiVEnEskuNQ21e93dDwMuAiYD+cAK4BngYHe/zN0XpyemiGSidraIGxs9jZHbd3ibs3Q1HfrXb2q7dyf9wLhZy+JuU38nERERkcz28MPQtWtQhJoxI+o0Itmlph5PALj7t8C3acgiIlliD5sDwCMFD9IlbwavlP+CSb5rxKlS59Pva59wvDYXPTMOgJl3bviKzCzo7RQMtVOXJxEREZFM1bQpvPwy/OxncMop8MknwToRqV21PZ5ERKqzR948APLDnk4eUzRpwjpaszySXFErXr2O0x8bzfziNQntX3nW1ONJREREJPPtuisMHQoTJsAllwRfIIpI7VR4EpGkGtr4DsYV/jHqGEmT6NxL7vDa+Hl89v1SHvvguwSPbT+9VkREREQyX8+ecMMN8NRTMHhw1GlEsoMKTyKy2eLd3e7gvKkRJMlurj5PIiIiIlnjppvgmGPgT3+CsWOjTiOS+Wqd48nM2gAXAB1i93f336culohkl9yenyjRd1fX8tFPQ+1UdxIRERHJGvn58NxzcMABcOqpMG4ctG4ddSqRzJVIj6fXga2A/wPeillEREJOXo7e2W7VunIe/7D2W5e8MXF+nY+d6DA+EREREcksrVsHk40vWABnnAFlZVEnEslciRSemrn7Ne7+oru/XLmkPJmIZLzKusljje9jRuFvI82SKhPnFPPNDytr3e/q/0ysc78vQ3M8iYiIiGSrAw+EQYNg5Ei44oqo04hkrkQKT2+a2QkpTyIiWeWtxteylZUA0M5+jDhN6kxZsCLhfetcP7LK16nyJCIiIpKN+vaFyy+HBx/UZOMi1Umk8PQXguLTGjNbYWYrzSzxv8REJCftkzeLtrYk6hgpV5fCUyVLcAxdIntNX7SSigoVpkREREQy1V13wbHHwsUXw4cfRp1GJPPUWnhy9y3dPc/dm7p7i/B5i3SEE5HsdXLex7SzxVHHqLdXvphX59d4gmPnatvr6wUr+NW9o/hX0fQ6ZxARERGR9GjUCIYNg112gVNOgVmzok4kklmqLTyZ2Z7hzwPiLemLKCLZ6MHGj/BK45uijpFWY2Zs6AG2YPka/vfNwnodb37xGgC+mF1cr+OISMNmZseZ2VQzm25m/WvY71QzczM7MJ35RERyQcuWMHw4rFsHvXpBSUnUiUQyR6Matl0O9APuibPNgSNTkkhEslYHW7DR822tYRVMRkwOCk1DRs/i1fHzWLG2jJl3nljv4ybag0pEpCozywceAY4G5gKfm9lwd59SZb8tgUuBT9OfUkQkN3TqBM8/Dz17BnM/vfQS5CUyuY1Ijqv2fwN37xf+7BFnUdFJRDZR1ES386i0Ym3N99RdX17BurKKGvdJcKooEZGaHAxMd/cZ7r4OGAb0irPfP4C7gbXpDCcikmuOPx7++U945RW45pqo04hkhpp6PP3EzPYF9gYKK9e5+9OpCiUikuve+HJ+wvuqv5OI1ENbYE7M87nAIbE7mNn+wE7u/qaZXVndgcysH0FveNq0aUNRUVHy02a5kpISnZdq6NzEp/MSX3FxMeXl5Vl7bvbfH3r16siAAW1Zv34avXsnft1XG31mqqdzE18mnJdaC09mdhPQnaDw9DZwPPARoMKTiNTqj/nDmei78HHFflFHyQhFUxfx8P+mc9Re29W6ryV03zsRkRrF+4fkp3q2meUB9wHn1nYgdx8EDALo1KmTd+/ePTkJc0hRURE6L/Hp3MSn8xJfy5YtKS4uzupzc/jh0Ls3PPTQHhx99B6cWP/ZFwB9ZmqicxNfJpyXREacngocBfzg7ucBXYAm9W3YzPLNbLyZvRk+38XMPjWzb83sBTNrXN82RCR61xQM49nGd0QdI2Oc+9TnjJ21jGGfz446iog0DHOBnWKetwNiv3rfEtgXKDKzmUA3YLgmGBcRqZ/KO9117QpnnAHjxkWdSCQ6iRSe1rh7BVBmZi2ARcCuSWj7L8DXMc/vAu5z947AMuD8JLQhIpLxlq5ax1+GjWdVaRnjZy/jhAc+ZM268p+2p2pu8ZfGzvnpznkikrM+BzqGX/A1Bs4EhldudPfl7r6Nu3dw9w7AGOBkdx8bTVwRkdyxxRbw5pvQunUw4fhsfe8oDVQihaexZtYSeBwYB3wBfFafRs2sHXAiMDh8bgR3yftPuMsQoHd92hARyRYP/N+3vD5hPi+NncMtb0xhyoIVfP3DivgDZJJk9boyrvrPRM56fEzqGhGRyLl7GfAnYATBF34vuvtkM/u7mZ0cbToRkdy3ww7w9tuwejWccAIsXRp1IpH0q3WOJ3e/OHw40MzeBVq4+8R6tns/cDVB926A1kBxeHEEQbfwtvFeGDuxZfv27esZQ0Qk830wbTGzl6ymfetmSTtmRdiL6seVpUk7pohkJnd/m2Cezth1N1azb/d0ZBIRaUj22QdefTW4491JJ8F770Hz5lGnEkmfRHo8YWadw2/FDgB2N7PfbG6DZtYTWOTusaNca5z4cqOV7oPc/UB3P7BNmzabG0NEJC1mL1kdd33sP3ovjZtb6z6/efST5IUSERERkbQ68kh47jkYMwZOOw3Wr486kUj61Fp4MrMngSeBU4CTwqVnPdo8DDg5nMByGMEQu/uBlmZW2QOr6sSXIiJZ6Yh/vs+YGUvqfZxlq9clIc0GnqqJo0REREQkrlNOgYED4Z134NxzoaIi6kQi6VHrUDugm7vvnawG3f1a4FoAM+sOXOnu55jZSwR30BsG9AVeT1abIiJRmvrDyk3WVcSp+1RdFUx/l1rpaENEREREAhdcAEuWwLXXBpOOP/AA6HJMcl0iQ+1Gm1nSCk81uAa43MymE8z59EQa2hQRSbmbhk/eZN3spfGH4E2YU5zqOCIiIiISoWuugcsvh4cegltvjTqNSOol0uNpCEHx6QeglGDaEXf3zvVt3N2LgKLw8Qzg4PoeU0QkF5Sur2BONcWpZNBAOxEREZFomME//xn0fLrxxmCi8csvjzqVSOokUnh6Evgd8BWgUagiImlw1uNj6rS/uzN32Rp22rpud75Tz24RERGR9MvLg8GDYc0auOIKaNQILr006lQiqZHIULvZ7j7c3b9391mVS8qTiYg0MHWZ7/urucvp0P8tvvlhBQDPjJnF4Xe/z8S5GqonIiIikg0aNYJnnoFf/xr+8hd49NGoE4mkRiI9nr4xs+eANwiG2gHg7q+kLJWIiMT1w/K1NC3I5+1JCwAY+fUi9ty+BZ/NXAbA9z+uonO7lrUeRze1ExEREYleQQEMGwanngoXXxwUoy64IOpUIsmVSOGpKUHB6ZiYdQ6o8CQikmbd7hhJ88b59Pl5h+QcUGPtRERERCLVuDG89FLQ8+nCC4Ni1LnnRp1KJHlqLTy5+3npCCIiIolZta486ggiIiIikkRNmsArr8DJJ8Pvfw/l5XD++VGnEkmOWud4MrN2ZvaqmS0ys4Vm9rKZtUtHOBHJHU1Yt9Fzo4JGlEWUJnctXlla+04iIiIiknEKC+G11+CYY+APf4CHHoo6kUhyJDK5+FPAcGBHoC3BXE9PpTKUiOSeRwvu3+j5gIKBTC/sE1GazFTTtEvlFRtvfeerYI6n6YtK+OaHFXg4adOtb31d/8ZEREREJBLNmsHrr0Pv3sFd7u68M+pEIvWXyBxPbdw9ttD0bzP7a6oCiUhuOjJ/An0rRnBM3lgOy58cdZysN3PJagBeHT+PV8fPo2fnHX7aVlHh5OVtmLxp+qKVbNuikBaFBZscR1M8iYiIiGSWJk3gxRehb1+49lpYvRpuuQX+n737Do+qTPs4/r0nnRJqQHoAkSIiUizYQMW1Yl17e1277q51LesqurrWtfdeUbHjAiKCCBYE6R2pEnqRTuo87x9n0meSSUhmJsnvc13n4pTnPOeeMzPh5M5TTA9uUkOF0+Jpk5ldZGZxgeUiYHN1ByYitc99CW8r6bQX/vHJrJDHlm7cVbD+0OjirZ6Oe2Ii5708Geccs1Zt5f6v5uPU5ElEREQkZiUkwLvveuM8/fvfcOutmpVYaq5wEk+XA+cA64C1wNmBfSIiEkHDf80IeWzB2u0F6x9NXVXq+Py123lhwlJOe/5H3vhxORs0FpSIiIhITIuLg1degb/+FZ54Av7v/yA3V82epOYJZ1a734EhEYhFRKROGzt/XbXW/9ZPKwrW8x9ZrESb7ds+nkWfDk04/+D21RqLiIiIiJTP54Onn4bmzeHee2Hhwp4ceig0aBDtyETCV2aLJzMbZGafmdm8wPKJmQ2MUGwiUgc0Zke0Q4gZk5dtidi1znzhp6D7P56WwZ2fzYlYHCIiIiJSNjO45x6v9dPUqU0ZNAg2bIh2VCLhC5l4MrOTgTfwZrG7ALgQGAW8YWYnRSY8EantZiZfTbqtjXYYtdaqLbsL1ouOC7AjKzcK0YiIiIhIZV15Jdx//1zmzoXDD4elS6MdkUh4ymrxdBtwunPuTefcLOfcTOfcG8DpwO2RCU9E6oL2pj/ZVKXtmbk453hy7GKOfPS7MstqdhQRERGRmuPwwzczbhxs2QIDBsCUKdGOSKR8ZSWe9nHOlZpCyTk3G2hZfSGJiMje6vqvr3l63G/RDkNEREREqtiAAfDjj1CvHhx9NHz4YbQjEilbWYmnXZU8JiIiUZad6y+1Lys3LwqRiIiIiEhV69bNa+3Urx+cf7438Li/9OOfSEwoa1a7zmY2Ish+AzpVUzwVF5cQ7QhEZC+d5PuFif4Dox1Grbcjs/LjOnX/19cc0LYRw68+rAojEhEREZHKSkuDb7+Fa66B+++HhQvhzTe9llAisaSsxNNpZRx7vKoDqTQrc2I+EakBzoufwB25V0U7jDop1BBPC9dtp2Pz+iTFxwGwJyePKcu3MHL2WhqlJHBEl+aRC1JEREREgkpKgjfegB494PbbYdky+PxzaNs22pGJFAqZeHLOfaNzJoAAACAASURBVB/JQEREJHac8NQkzuvfjofP6lVs//XDpgOw4uGToxGWiIiIiJRgBrfdBl27woUXQt++3rhPgwZFOzIRj5oLiYjUcX6/45NpGeTkFR8YYNrKP6IUkYiIiIhU1JAh3rhPTZvCccfBo4+Cc9GOSqTsrnYiIhGXQiYH+pbxq38/cvUjqtqZGZ3uGgXAum17ih37bcNOtuzKpmn9xHLrWbFpFy1Tk0lJjKuWOEVERESkfN27e8mnyy/3ut798os37lNqarQjk7qs3BZPZtYzEoGISN3mw08iOTya8AofJj7AkuRL8KGpOarbll3ZBesj56wrdfy+r+aVW0ee3zHw8Ql0v+drpizfUqXxiYiIiEjFNGwIw4fDf/8LX34J/fvDnDnRjkrqsnC62r1kZlPM7Doza1ztEVVQnIUaGldEapJ3Ex5icfKldLVVBfviyYtiRHXPgrXbS+3bk13+e+Av0ob7i5mrw7rWik27wqpbRERERCrODG6+GcaNg23b4OCD4cUX1fVOoqPcxJNz7gjgQqAd8KuZDTOzwdUeWZji4zRMlUhtcHhc+S1rJPK27ckJut85x66s3FL7d2aW3hfs3IGPT+Cqd3+tdFzOOVZv3VN+QREREZE67OijYfZsGDgQrrsOzjwTtqiBukRYWFkb59xvwN3A7cDRwDNmttDMzqzO4ESkbjP0J5loy8nz8/XctaX2v/7Dcva/dwxrS4wLlfHH7rDrnvTbpjKPb9udQ2ZO8FZR705eyeEPj2fu6m1hX09ERESkLmrRAkaO9LrejRwJBx4IEydGOyqpS8IZ46mXmT0JLACOAU51znUPrD9ZzfGJiEgUTf99K9e8N73U/gdGLgBgyYad7AmRHNpbB97/DWe/9FPQY78ExpJavmlXtVxbREREpDbx+byudz//DMnJMGgQ3HUXZGVFOzKpC8Jp8fQcMB040Dl3vXNuOoBzbg1eKygREamjLn59Cr2GflOwXVVt1PL8Xk1zV5ced0pEREREKqdvX5g+HS67DB56yBt4fMaMaEcltV04iaeTgGHOuT0AZuYzs3oAzrl3qzM4ERGp+ZxzfD4jo6DbXMlBLXdm5ZbqUtf5rlGRCk9ERESkTmnYEF5/Hb76CjZu9AYev+8+yAk+tKfIXgsn8fQtkFJku15gn4iISDHBZkr5aelmbvpoFg8GuueV1PPeMRz73++rOTIRERERKeqUU2DePDjnHBg6FA49FObOjXZUUhuFk3hKds7tzN8IrNervpBEpC7bz7e6YL1wcHHHx4lDOTtOyYlYtyMzhzkZ20rtA9iwI5NpK//g3ckrS52nGepEREREIq9pU3j/ffj0U1i1Cvr0gbvvhj16NJMqFE7iaZeZ9cnfMLO+gD6GIhIxh/vm0t+3mMcTXo52KFKOpRt3cepzP3DM4xMK9hVtBXXWiz9x74h5FarzsjenMDtjaxVFKCIiIiIlnXkmzJ8PF1wADz4IBxwAY8dGOyqpLcJJPN0IfGxmk8xsEvARcEP1hiUiUtjiKQ5/lCORilq2aRert+5h+NRVBTPgGVapuiYs2shtH88Oq+z2zBwueu0X1gRaUD3xzSJenbisUtcVqS3M7AQzW2RmS8zsjiDHbzaz+WY228zGmVmHaMQpIiLR1bw5vPUWjBvnzYJ3/PFw0UWwYUO0I5OartzEk3NuKtANuBa4DujunJtW3YGJiPT2LeXCuG/JJqFg3//FjeaLRE2oWRMMHTGPf3w6O+xudHuy88o87vc7Xv5+KbuyckOW+WrWGn5Ysolnxy8B4JnxS3hwVPCxpUTqAjOLA54HTgR6AOebWY8SxWYA/ZxzvYBPgEcjG6WIiMSSY46B2bPhnntg+HDo1g2efx5yQz+CiZQpnBZPAP2BXsBBeA8sl1RfSCIing8SH+TBhDfIc4U/qu5NeJfePrVgqQm+XbC+2Laj9MjjyzYWDCHIAyPnl1nfqLlreWj0Qh79emHVBChSNxwMLHHOLXPOZQMfAqcVLeCc+845tzuwORloG+EYRUQkxiQnezPdzZ4NBx0EN9wAvXvDt5pmTCohvrwCZvYu0BmYCeT/OdoB71TmgmbWLnDuPoAfeMU597SZNcXrxpcOrADOcc79UZlriEjt8nHS/WUeP9k3maEJb3NY1rPklv9jTSKk5Ax3Y+atL1XmmCKz2b3/y+88eMYBrN1WuoWUGWTmeF0ud5TR4klESmkDrCqynQEcUkb5vwCjgx0ws6uAqwDS0tKYMGFCFYVYe+zcuVP3JQTdm+B0X4LbunUreXl5ujdBROMzc/fdMGhQc154oTODB6dw+OGbuPbaJbRpkxnROMqj71NwsXBfwvkNrR/Qw7lgk2RXSi5wi3Nuupk1BKaZ2VjgMmCcc+7hwPgDdwC3V9E1RaQWuz/hTZrZDlLZzRZSox2O7IVtu3P4ftHGUvvL+h/IOcfrPyzn3P7tKnVN5xzv//I7Z/ZpQ71EJS6l1gk2uFrQb5SZXYT33Hd0sOPOuVeAVwC6du3qBg4cWEUh1h4TJkxA9yU43ZvgdF+Ca9y4MVu3btW9CSJan5lBg+DWW+Gpp+CBB5pz+eXNufFGuOMOaNIk4uEEpe9TcLFwX8LpajcXr3VSlXDOrXXOTQ+s7wAW4P017jTg7UCxt4HTq+qaIiJSMxx4/zd8Mi0j7PJPjF3MmHnreWDkAq57fzrTV1Z89rvvF2/k7i/mFgyCLlLLZABFs7JtgTUlC5nZccA/gSHOuawIxSYiIjVIcrKXaPrtNzj/fHjsMejUCR55BHbvLv98qbvCSTw1B+ab2RgzG5G/VMXFzSwdb9yoX4CWzrm14CWngBYhzrnKzH41s183bvT+Kj4y7+CqCEdEapBOVur3Jgb45rEi+QL2tfATFxJ7fl1Zupf1pp3Bfw9evmkXr07yxvya9NsmPp1e8fd+V5bXi/yPXdkVPlekBpgKdDGzjmaWCJwHFHuOM7ODgJfxkk6au0hERMrUqpU3+92MGTBggJeM6tIFXnkFcnKiHZ3EonAST0PxWh/9B/hvkWWvmFkD4FPgRufc9nDPc8694pzr55zrl5aWtrdhiEgN9XzC06X2nRT3CwCH+tRypbbZXCQp9Nn01cU6CmXn+kuVt2Cdi0TqIOdcLnADMAavlflw59w8M7vfzIYEij0GNAA+NrOZVfUHRhERqd0OPBBGjoTvv4f0dLj6ath/f/jgA8gre7JiqWPKTTw5577HG+w7IbA+FZi+Nxc1swS8pNP7zrnPArvXm1mrwPFWwF79xe2unL/szekiEuO6+1aVX0hqlVs/nhV0f7DZ8ioi/3wlq6S2cs6Ncs7t55zr7Jx7MLDvHufciMD6cc65ls653oFlSNk1ioiIFDrqKPjhBxgxApKS4IILvATUO+9AruaEEcJIPJnZlcAneE2wwRuP6YvKXtDMDHgdWOCce6LIoRHApYH1S4EvK3sNgGF5x+7N6dVih0uJdggitcrd8e8SYoxcqeV2ZZf9FLO7xMx32/Z47b5z8/z8tn5H0HOsyBjM3y/eSG5e6ZZUIiIiIlKaGZx6KsyaBR9/7CWgLr0UunaF116DbI1oUKeF09XueuBwYDuAc+43Qoy/FKbDgYuBYwLNuWea2UnAw8BgM/sNGBzYrlU+ccdEOwSRWuWK+NFcH/clzcxLJJwUNyXKEUmkTAgy811RX8wsPgbYvV/OBeCRrxcy+MmJrNy8q+BY/ox5+eNIPTx6IZe+MYUXJiwtKLM9Mydolz4RERERKeTzwdlne+M/ffGFN+PdlVd6Y0A99xzs2lV+HVL7hJN4ynLOFeQnzSyevWhi4Jz7wTlnzrleRZp0j3LObXbOHeuc6xL4d0tlrxGrDmjbOCLXyTzijohcRyQW3JYwvNwyLfiDS+LGRCAaiQYX4n+ka9+bVrC+K9sbaODVScsB+GhqYVfNnYHWUb8s30JOnp+XvvcSTis372ZXVi4Zf+ym19BvuOxNJTZFREREwuHzwWmnwdSpMGoUtGkDf/0rtGsH//wnrF0b7QglksJJPH1vZncBKWY2GPgY+Kp6w4o9L+WeyqGZz+5VHRaXUEXRlC35uDsjch2RWHVz/MfcHf8uHWwdAK8m/pf7E96mrZXdSkZqplVbgs/fO3ruuoL1n5ZsKtbKaXbGtoL1nCJd6tZvzyxWxzkv/8wRj3zn1bF0c5XEKyIiIlJXmMGJJ8JPP8GPP8KgQfDQQ9ChA1x2GcyZE+0IJRLCSTzdAWwE5gBXA6OAu6szqIpq1Sg5ItdZR7O9Oj87vn4VRSIiZWlqO7kifjRvJTwCQGN2AuBDXaVqo+2Z5Y9auSs7j1cnLSvYNvMSVul3jOSeL+cV7M9PMuWXmbem/ElX123LLBhDSkRERESCGzAAPv0UfvvNmwHv44+hVy847jj47DMNRF6bhTOrnd8596pz7s/OubMD6zE/mu+lh3Wo0voObNeoSuurLr9Z1b5ukZoswTSPqxR6b/LvBevb9+Rw5KPflVE6uKzc0p+pQx8ax9GPlV/XrqxcBjw0jinLw+9JvnFHVsjB0EVERERqos6d4dlnYdUq+M9/YPFiOOssrxXU0KGwenW0I5SqFs6sdsvNbFnJJRLB7Y37TusZ7RCiIv7sV6MdgkhMuTX+Izr4NgBgmgFPAmYV6WoXyifTMkrt63r313w5s/TT0NbdXoun4b+u4oZh04PWN3/tdtZsy+TRrxeGHeeRj45n8JMTwy4vIiIiUlM0bQp33gnLl8OXX3qtn+6/30tAnXkmjB0LfnVYqBXC6WrXD+gfWI4EngHeq86gaqt4n5VfSESq1A3xX5ba15TtxKHWUFI5z4z7jQtfm8zu7NLtwf/xyWz+N7vs0TJ/XfkH3y3aENa1MnP0tCUiIiK1W1wcDBkCo0fDkiVwyy0wcSIcfzykp8O//uXtl5ornK52m4ssq51zTwHHRCC2WiPH541BdVD7JlGORKRuackfpfYlk8X05Gv4d/ybUYhIaoOlG3fx45LN9LhnDOl3jCzYf8kbpWe9+3xGRtAWUu8X6fYnIiIiIp5OneCRRyAjAz74APbf3+uO16ULHHkkvP46bC9/CE6JMeF0tetTZOlnZtcADSMQW8xZ8fDJxbbfyz22QuerxZNIZJUc46kFW0khC4AT4konCUT2xsTFhbMmrt+eSfodI7npo1n8/cOZrNm6hz+/9HPB8W8XrOedn1eErMs5x3FPfF+N0YqIiIjEruRkOO88rxXU77/Dww/Dxo1wxRWwzz5wwQVe97ysrGhHKuEIp6vdf4ssDwF9gXOqM6iqcl7KS5U+dx1p5ZbZTPUMOP5S7qnVUq9IXfdx0v3kp3+b2k7a2/qoxiO118J1xQcEn7O69JhS+bPp5eT5eXfySvL8jnXbMvl8RgZ5fseSDTtD1v/QqAU8OXZxwThUpz//I+e/MrkKX4GIiIhIbGjTBm6/HRYsgMmT4dJLYcwYOP10aNkSLrvMS1Dl5qqhR6yKL6+Ac25QJAKpDhviWkU7hEpp2npfKGP4j1X+NNr5NjLN34W+vt8iF5hILdDTt7xgfWLSTaRnDotiNFJb3fB+8QHGHx4dfEDx7Fw/T49bzPPfLSXOjLs+nwPA9JVbi5U76tHvuPKoTlx8aAd2ZeXy8sTCOT7OPKgNM1d55Z1zmBk7s3LxGdRLLPe/+QrZsD2TLbuz6bZPapXWKyIiIlIeMzjkEG955hkYNw4++gg+/xzefhtSUwdw7rlw9tkwcCAkJkY7YslX7hOpmd1c1nHn3BNVF87euS77b7yQ+Mxe1bH5xJdoNvqasMr2aJUKG8svV1EdmtcLmXga1fc12k19gHZsxH/iozDmjKoPQKQWeyfxkWiHIHXAjqziA48v37QraLmLXvuFKSu2eOdk5hTsf3fyymLlft+ym399MZfU5Hh+XLKp2DEr8se9jneOKlhvmBTPnPv+BMCCtdtJivfRKa1BhV7HmHnr6NEqlXZN6wFw2MPjyfO7Ul3P82Xm5JEU78NMf3EUERGR6pOQACec4C0vveS1gHrmmS188EFLXn0VUlPhxBPhtNO8fxs3jnbEdVu4s9pdC7QJLNcAPfDGeYqpsZ4G92i513UkpR8CQEpiXLllGyRX7V+Sw7FPy9YF641TEiJ+fRERqTr5SSeA6b+XHgy/pL9/OJPhv2aEVfeOrFze/mkFACc+PYlj/lvxMaOufncaxz85sWA7z+9Clt24I4tu//qa1yYtD1lGREREpKolJXmz4t199wI2bIARI+DPf4bvvvPGgkpLg8GD4bnnvPGiJPLCSTw1B/o4525xzt2CN8ZTW+fcfc65+6o3vIpp37T+XtfRoFkbXHJjGg4pu1VEnjMWpJ0QVp2bG/X0VtK672149OlQPanaT7s/XS31isS6g6x0d9WG7KYhu6MQjdRlY+ZVbsyxL4LMmpfv3hHzWLN1T8H2nZ/N4awXf+KTaRlMXrYZv9/hLyOZBLAnJ6/M4/nWbvOu8+WswniWbtxJ+h0ji83+JyIiIlJdUlLg1FPhtddgzRr48Ue4+WZYtQr++lfo0AF69ICbbvJaSe3ZU36dsvfCSTy1B7KLbGcD6dUSTRV79dJ+FT8pPgm7YyW+nqeXWaxz1vtsTenAUVlPhiyzJK4zP7S8iMZX/w+unwLdTuL/sm+reEz50o+EZl0qf34Z+qU3qZZ6RWJdK9sMQBLZpLKLdFvLnOQrmJN8RZQjEwnPTR/NKvP4gIfHF6x/MOV3pq38g1s/nsV5r0ym012j6HSX1z3vq1lrWLl5F1t2ZTN1xRacK0xIjZy9ttw4jNLd675fFLw/+vbMHF6ZuLTYNURERESqUlwcDBgAjzwCCxd6y+OPQ9u28OKLXje9pk3hT3+CJ56A+fNBjybVI5y+Yu8CU8zsc8ABZwDvVGtUe+PK72DzEgA6V3Asi8r43bXkF383DvGVHjg2O64eR1z7vLeR3BWAe2++CZ57LKy6R+f1Z46/I/9IGO7tuOx/VRJzMA2SIt9tUCQWvJD4DP0zu/JO4sN0963iu7wDQ5atRybx5LKd6v/ZIhJpf/1gRrHtWfccX7B+/bDpnNwr+LhOJRV9YCs61NPExRuZvGwz/zihG/d8MZcvZq5hzdZMhg7ZH4BNO7NolJJAQlzh38Qyw2xtJSIiIlKerl295ZZbYPdu+P57r9XTmDHevltugVatvIHJ85cuXYo/z0jlhDOr3YNmNho4MrDr/5xzM8o6J6ra9PGWCDo3+x5W3DsAHkkvt2x68/C7A252qbyQd3ph4ilgnL8PB/hWkJvSoqKhikgQU5OvL1gfFBe69cgPSX+jqe0smAlvoG8G2STwk79ntccoUp2WbdxZat+wKaEHQfjvN4v427FdSIjzsW5bJo+OWcgZB7UBYN6a7fz5pZ9omJxA43qFYxFe8sYUAE7u1YovZq4B4K2fVnDL8fuxIzO3oGXWsCsOYc22TNZvz+SxMYuq7DWKiIiI5KtXzxt0/MQTve2VK70E1HffecsHH3j7W7cunojad18loioj3GYu9YDtzrk3zSzNzDo652Jm9NDUlATYCU3rlx5s+6u8Qzk1bnL1B5EUuamlx7W4jHfXDOat+vtE7JoidVFztrGJRgXbTa34L+dvJXqtF/MTUSI1VbCBxx/5unRL3nzPjl/Cs+OXcPIBrRg5x+uGN3rOuoLjU1eEHih97PziY1nl+V2x7oAXvPZL2HGLiIiIVIUOHeCqq7zFOfjtN5gwwVu++w6GBR7399kHDjuscOnb1xtXSspW7hhPZnYvcDtwZ2BXAvBedQZVUZ1bey1/OrYoPfD233NuoFvmm+TFJVW84t4Xsrn+vuGV9cWRnjmMef4OFb9OCPu2aMhPdxxTar8zH5uL/DJcEYv9bfYqpmOzHuNDd3z5BUVqgV+Tr8XwRzsMkZiwZVd2qX35SScIfxByERERkVhmBvvt5yWhhg2D1ath0SJ46SVvdrzZs+Ef/4Ajj4RGjeDgg+HGG+Gjj7xZ8zROVGnhDC5+BjAE2AXgnFsDNKzOoCrKTngYBt4JXU8sdeykXm1ondaU+Ue/HPTcGf4yEkunv8DilicFPXTyAa34y+Edy4wrzlfxNnirmg0oOC/eZ7RuXDp9elz3lgC0SE1ibuPSiamyzHFlx1yepa4Nj3PJXtUhUpP0sJU0ZDefJA4t2NecbcXKnOyLQKtKkSjr8++xVVLP2z+tKLbd+/6qqVdERESkOuQnoq6+Gt55B5YsgfXr4csvvXGhUlLglVfgvPO8llP77AMnnQR33w2ff65kFITX1S7bOefMzAGYWfiDFEVKSmMYeEfQQ89d4I33NGfi50GPV/b9f/5Cr95OafVpnOJ18fvvnw/EN6Iw2dSpAuM55Vvd9DD6t2sMc+HAdsFbNf3tmC5cfGgHmjVIYkV81cxG5+ILE1zXZf+NFxKfCVk2i8SC9Y9yB3Ju/ISQZcfm9WFw3PSw4/hL9i3cFT+Mzr7yZ1ASiYSRSf8ste/X5Gt5Lbcw0f184jOMzDw0kmGJ1Fh/7M6JdggiIiIie6VFCxgyxFsAcnK8llA//wzTpnnLN99AXqBBePPm0KeP1zWvb1/o3Rs6dgRfOE2BaoFwEk/DzexloLGZXQlcDrxavWFFzri8PvTxLan0+eNvGViwflbftiwd5YPAh6vozDwVkd/iKdT5Pp/RrIHXdTCtYRJsCr/uTS54Miu3UfuC9W/8/cKvsBxJ8b4KZff2kMQO6lXZ9fMdmvksk5P/WuX1St11RfzoYtuJ5JBN6XHmRERERESkdktIKEwq5duzB2bNgunTC5NRjz0Gubne8fr1Yf/94YADCpeePb2kVm0Tzqx2j5vZYGA70BW4xzlXa9rFv5A3hA/yjmF68jVRi2GTS6W5ba/UuZ1apEIFhnl/M/cEro4fWalr5euX3oTXlp5Y6hfvfGtcU1rbFiAw8PvuitX/q38/evuW7lWMJfXv2o5pW46h747x5RcWqYQG7GELCfS0Zcx1HQFNdyEiIiIiUlelpMChh3pLvsxMr2XU7NkwZw7MnQsjRsDrrxeWadGiMBHVvTt06wZdu3r7a+qMemUmnswsDhjjnDsOqNHJph3NerHTJdPAMgv2TfXvh8PHFlL5PO9wTmy1i+Ry6vnATsJfvwUXhnPRxAZhxXZ3zuW8lPhU4Y6kQKuklKblnzzwDsjNZM2MMbT2B++eluGak0guLWwreWEN6xXa6L8fSYdm9ehxz8U8kHsxj8S/Uum65nW9nv0XPV9q/8O555NDPNfGf7U3oRbz4Bm9WPJGxc/Lc0ac1fEOuRKW6cnXsN41pqVt5encM3kx91Sa23YyXFq0QxMRERERkRiQnOwNRn7wwcX3r1/vJaLyk1Fz5njjRu0u0oijUaPCJFTXroXr++4LSZWYSy2Sykw8OefyzGy3mTVyzm0rq2ysy0tMpWfWG6xIvgCAQzKfYxuFYzDdlHM9Z1x3crn1nH/vB2Fdb1unU2h0+tOVC7bnWZC1HQ66qPyyKU3g1KfJmtGrctcKYtTfjoQQ+aTurVKLbbdrmuK1hauE7p3SYVHxfX07NOGn5fEs9rcNes4W16DUlPbh2r91owrHuplGtGBrpa4ndU9L8z4rf4//jL/HfwZAeuawaIYkIiIiIiIxrmVLbznuuMJ9fj+sWuXNqLdwoffvokUwbpw3yHk+n88b1LxzZ+jUqfDf/CUWhDPGUyYwx8zGEpjZDsA597dqiyoC1uO1JrrrpG78Z9RCXrqob/ByqV5C5/fUPhxWgfo3Hngdjeo3r1xwPh/0/0vlzg1iSnw/PrVjOSVzFAN6dYfFxY/P8afTrF5hR9KOYQyKfsURHXnth+XEV2Lmvny+tP0K1ucm9aZn1kyO79GSSy44jhXjV8KM0uf85O/JKXEVn0EsNbUxxFe8tdd8fwdaxCnxJJV3TdwIXsk7ha62iu2uHqspbAH1z/j3uDJ+lJJTIiIiIiJSTH5CqUMHOP744sd27IDFiwuTUYsXw7Jl8NlnsKnEGNCpqYez337Fk1IdOkD79tCuHdSr+iGWSwkn8TQysNRKVx3VmauO6hzy+NrGfdg/83Uuarx/BKOqOpdn38qShoeyx2/cmXslN7ZoWCrxdGr2f/gpLvSgyP7Utvi2ZxTbd/cpPbj7lB5Meeq9ygfXaWDB6vDUy2i0/kF2NetFWsMkVgT2L6UtnSm89nR/lwonnvz48PniKhze4ZlPF7RaiRVz/en09K2IdhhSAXckfMgdCR8WbC/2t+E/uRewxaVyZfwoAAw//W0RU1z3aIUpIiIiIiI1RMOGpQczz7d9u5eEyl8mTdpAZmYbpk/3ElP5g5vna968MBFVdKlKIRNPZtbeOfe7c+7tqr1kdLRoWN7oTaHtIqUKI4ms8f4+tLE4wA/A+Qe3hx/AJTfGzniZcz7Z6LVpq6T6SeHkLsvX9oCjOHJVC75vWWII/7gEyIOF/nZck3MjK9w+3JPwblh1jmh/O0N+fwRLCLz3x94DuzfDsgmlyn6QfC7nZ35UbN91gzqTPj8FQnQyzUjqTNusqh0EvTwr6x9Izz0rInpNqVr7+VbzVuJjxfYtT/a61V6ZfTN/uAbck/Auf86+l0bsYkry9VyefSvj/X2iEa6IiIiIiNQgqanQu7e3APTr9xsDB7YBvKRTRgb8/nvpZfFiGDsWdlZuZJsyldX36Iv8FTP7tOovHVld92nI//56RLTD8PS/slhrn9TkqknelOXOE7sR7zOa1EuEm+Zhf58JXU/g6AFeB8LG9UK3eMo74FyoH3xOx5JjPgHEhTHU/o95xVuQXXlkJ369+zg6NAvdzW+Fa0W4M4WNyDuMvidcCkXPaJIOl3wZtHyH1vuU2ndMtxZYGa9lfWKHsGIpT5YLfe9LOvmIflVyTYlNbW0jnyTdTy/fcvr7FtHLtwyA8+M0G6OIiIiIiOyd+HhIT4ejjoKLLoK7KS1ZYgAAIABJREFU7oKXXoJRo7xBzbdvhz/+gJkzq/a6ZSWeiv7GHSNDUu2dnm0a8aeshzk267HyC1enkx8vlgB59OyqGxg8lDP7tGXJf04iMd4Hjdp6g5ID1w/alxUPn0y9xHhOyHqYE7MeKnVu7mE3wnU/w7U/lTrmO/o2aNu/2L6SuZp3c4+jpAtz/lniHKN5g70biv/IrCcL1g+88VPapAVmBQxjrK05bc7hrdzjS+0vFVPLnmXWc1TWk1ydfWP5wRYxzd8lvIIXfgqHXQ/nhNfiS2qem+M/KVh/L/EhXkv8LwCD46bTis0AXBj3LQN9Vfw/gYiIiIiI1Hlm0LgxHHhg1dZbVlMbF2I9Zmzbk8P/Zq8ptd+CtIrJT4YscoWdFU/u1YrRc9YGLZfv63nrAPhm3noOatekzLIAbXPywAeTl21hWfy6QLkg8QCHNewIzrE0Yxv5qaeXdx7FrgXri12j4XEfkxeXzO6FRfaXeI2tcv3gg6kr/mBF/AYGFTm2euseJizaUKTO4PEsDNybH5ZsLHb+j0s3k1SvAdACtm8sce0GcPSHHPF+4ThZDZLiC7rvbdmVzX2517KPbWFw3PSCMrf9qSs/Ld1EvZP/BxbHnqWbi8Wzc3c2ADuc181xsSuc5e7fORfxr4TSY0utci25P+difnNtOOv3rWxokkLzwx9le6vDyF6xpSDqYG2Gpmbs4dvcy7gs/puCfXPXbOegEq3RVrc9kTbr5wKwYbe/VD2/u5akFo7BH5bMTsfDyvnllptbrz+s3QmNjmbfBu1I3rmqQteR2NfQ9oQ89nPyX7kz5y88mPBGsf2nZD3AfJfO+XHjGZ43kJywhu4TERERERGJjLJ+QznQzLbj5SRSAusEtp1zrnQfqwj7fctubhgWZOqzMI2cvZaRs9eWXxBYvmkX17w3rdxy98Z3Y3/fSl74ZQtrfimv/IMAnDBhCi8lwui8/ny3fBffLf81SNkcINh+z0Px+9LNt4onJ21g7aSprCgxpNVlb04tN/Z8V74zjSVFzr/hgxlkUnZrpKLX27onh3qBLE+e35FLPPNdOoMpTDw9NmZRiRqKDxh+hm8dgxNhWU5THsr9F7NcYaO7tc5ryTQy72BOjpsCwAK/lzR7I+9EACZ9lN8ipC2wKrCUjnVi3gEcFTeHbxd4iblf/N04xLcQgKFfzuPG+A38OfAtuT/nYt74sXfB+XfuOp/V8SmcGzehzIRBMH+4BjQxr/PspCWbOSaM3nanPPtDYdyJmbSv+CR9UsM9lPB6qX3/S7qbl3JP5Zr4r3gw4Q0ezLmAMf7+/O5a8GrCEzyVexbzXDoA8eTS1VYxz3UkmSwcRhaJEX4VIiIiIiJSl4RMPDnnKj4NWITt16Ihn910VLF9wZpmOVf0eOjGWy7IIedg7upt7N8mtVhLn2D1OAenP5vLe3nHceNZx9CjdfDcXMnrJG5rDR8/xTd5/Titd2v+ckTHkPF41y7tnOdzeDdvMH8/cyBd92kIRRpFfHbdgDJfY36NZ734MwAfXnUovFN49PVL+5GU0iDktZ2DNW81pbVtAaBZ/STY7R3br90+sKz0OR9edWjIeByOtGVr4Efo064xNy/rTrzPSG+Swk2D92P3jCWw0is7Ku9gBvlmclb20GJ1vHRRHxokJRSrs8D7hat/ybmNlJwsDuvUjJ+XbeaK7FuZk3wFAHedNYC+CybCMvit7z0c1eUijjKDD7xz85Kb8EDmxZwVNynIXSm03N+Sjr71xfbNOmsSAz87CAgM+B5G/vTVSwrbajX8ujls31j+SVInXBP/VcH6PxOG8U+GFWwPjiudAP8k7yjOjpsIwIDMZ9hEI5LIYQf1aMY29pDEbio/IYOIiIiIiEi+Gt0nIynBR5eWDav9OqESSMHs16op89fG06N1Kj3bNArvpLYHkdFiOYuGzeOdU3pUaqyjji2bMn99Ar3bN6bbPoXxrnj45ArX1a9D04L1R3LO42+d25CSWHYe8tCs+zgubjoPJLxJUnIK7PGB89Phwufg35NLl+/UrOwgdnrva3rz+rxwWB8O37c5jVK8RNK0NakFiafrcoKPp3RCz1Zl1x+QQzw5xHPkfs35edlm0tLS2H7dRrbuzOLktIaw2vvlu0vblnTp1rLYuQO7tuCrWYVdPS/MvpPLBqTTKScb5kBey17EXTuJrAcOgdziiaeBvTpBix8hOZX9zAczvNZvnPYCfHld6UDPfZ/B3Quvn/d9AmyHLTSkKTvKfZ2bXUOaWfnlynTOuzD84r2rQ2JCftIJ4Kfkv5VZ9oLsu5js78FbCY9wVNwc0jOHhSzbiJ1so0GVxSkiIiIiIjVfjU481SZt05oy6u9HRjuMYnJcHC/mDaHsX0s962jGe3nH8cDxbeCAs+C5/uD8kJzK8KsPI2vsOCg9HFdYTjqgeBKpaQOva1DXlg0ho+L1ZZ/2KolfXskfjXtySEpTflm+hUFdW/Do14t4/M8HkpqSSGpKoPtRg8BsfslFkogXfw4N9oHxWcXqffDaC0hv1x7WeImnOJ/XQm5GYl+65S5keO7RnHPtUNgZSELtE2Sg8oMuLJ14umMVJBdPfvrrtyAOuJlbeYt7+TB3IOfFTwj5ml39NNhdgcRTg5aFcebrMYStDfel8Y4lZFsSiS4r+LlSqwxL/E+x7RXJFxSsb3X1aWylxzTLcM35xd+dh3IuoLVtoq1tZJlrzVLXmn6+Rfzs78FHif9maM6lLHChZ4dMIptc4sgj5hvgioiIiIhICEo8VbG/Hbsv17w3nQ7N6kU3kMH/hmb7VuiU6f8avJcXNTj6Nm/1lKfg23vB4ji4Y1O4ZCiMyYIZpQcFD6q11w2NbqeUOtRx/0NhPHQ6+sJi3eZWPHwy6XeMpHNa/TKrTjzoHOg0gCYpTXjbktmdnUfT+onBW4cNvBOa71c8js7HANCn/XK+mrXGG0w9G9KbBW/pYU06wG6Y6fblnDZ9QgdWPy34/uTSLe7iz36VT4e9zE1/uoz0571Z8YImnpIawaUjaPa/Gwu6PxZz80J4olvp/XHBW90tTr+Yg+fcy8xGx3LwFc/A4xX7jEntEizpBNDWNtE2blK53VBHJ91ZqesOyx3EBfHfFWyflnU/AN18qzjaN4s5/k6M8x9EDvF0sQzqkcX3/l7E46eDrWMbDVjqWuPHh+HHBSZ4TSaLTBIhyAQVIjWZmZ0APA3EAa855x4ucTwJr5N9X2AzcK5zbkWk4xQREZHaKaYST+U9GNUEJ/RsVanubVXu8HDaKRXXtH6glU9eLgAr49MhK/jsfSWd3rs1X8ws0qSpz8Xeki85FU57Huq3gC7Hl19hWle4Zwv4grR0aNYZ7tmCzxfHjH9lc9C/xxYcmnnPYJLiw2gd0cibJS8ZSE4oo3x8EvS+IOihywakM6hrCxI2vwTjHyxsFdWwtfdv9yEANB9wKZe9n0tclzISexd/4b3mIo7Jepzxl3cMWtzqNeWsK7xf2v9zxgFed9D8caePvRfG3QdDtxWWD1LH9uYHkZraCjocDit/LH7w1Cfhm3/BhuKz7a1L88YLm9z0NA5uECJRFszxD8DkF2H7ai+R16AlrCg7KSESStGkE8CXSfcU2z4pbgq382EkQ5KAjS6VtIK5SGCda4IPxwJ/ezrYeua7DiSRQ5ptZbVrjh9jqWtNc7aRRxyptpvtrh4usL8eWdwRxddTG5hZHPA8MBivnfBUMxvhnCv6A/4vwB/OuX3N7DzgEeDcyEcrIiIitVHMJJ7CfDAqblsGjL49QhHGtmv2rGZrfDYtfvgW6lfBLFUte9KuaVd+yBtD8rcTyy3+RKrj0SMcjC6/LPO/8JYq0AS4N3457ZrWg9ETaVwltYbHgPT8jfTDYcxdhQcPvAB2boDRtzPQ7yex5WYOarIZRn8ausLFXxfbvDhuLCzpCEvGhjjBcwHAlsBGw9ZeF7lDrin+3XB+799G7VhfvytrMlbQvUUXr8w+B3ijvDftCDMDTch+GwsdjyqeeBp9O93W7+DN3D/Rd9tYGD0DOg2CzG2wpnDGwnzz006m287J+My872r3U2HXRkioB4n1oXEHmOm1gNuZ0JwGOZvKfJ0iEvuKJp0A9rE/AGgRtxWAdAq78PZieVh1KvG01w4GljjnlgGY2YfAaUDR56vTgKGB9U+A58zMnAs1zYmIiIhI+CxWninM7DBgqHPuT4HtOwGccw+FOqdf20T36w37RCjC2Jbnd2Tm+qmXGFfnOonkf4JrzevO9Foq5SU1Ii7SLypzGyQ2KGxplpcLOYHuVMmNcEBmjp+keB8+K3leQ/D5Kn69QN0F60XltyLL3OZ1GwTIClIuFF8C+HMqFpOIxBS7b/s051y/8ktKMGZ2NnCCc+6KwPbFwCHOuRuKlJkbKJMR2F4aKLOpRF1XAVcBpKWl9R0+fHiEXkXNsXPnTho00CQLwejeBKf7EtyNN95IXl4ezz77bLRDiTn6zISmexNcZe/LoEGDquwZLGZaPAFtgFVFtjOAQ0oWKvrQ0759e7hjZWSii3FxQNkjG9VetSbhVEIsDqdsQEq0g6go5yBre/EB4itTB4Tud7pjndd90Az2bPUSd0llzLiZmw0713kt1HZthHqBWR5zMwvH9HLOqzc+KZAINO+Yc4Vx+PMgN8urIznVS9A1ag8475z86zRu75XfvQWSG3vn+3Nh81JvAP3cLMjL8sb2Sqzn/ZuXBXGJsG4utDoQ8rJh82/QJN07Hp8M2Tthx1qvrqRUr2WbPxcatoLm+3rxbFvtnePyYM8f3vV3b4KUpl6cyY0hZ7f3+vb8AQkpkNIEcvZ4C867p6mtvEQizrtGYn3I3uXFvucP7zX64ou/R7lZhXUkN/bOM1/xLrw5md45vngv3nqFs3pKjLivtv6Uj5hgN7DkXx3DKYNz7hXgFYCuXbu6gQMH7nVwtc2ECRPQfQlO9yY43ZfgGjduzNatW3VvgtBnJjTdm+Bi4b7EUuKpwg89/fr1i43mWiISu8z2LumUX0dZGhZpeZkSRofP+MTCZFBqq+L7i14ztfiMjqVi8cV5iaLEwMxwKU1CXweKJ1XiEqBFkIHl8yUke/+2619YV/6g//mSU4sPft+4XYnjjYrf+/xkXMkB8xMDafPEIpMyJNYr3K7fvERwSYXnJdYPnSyKT/KWfHEJpcvkv05Q0klqqwyg6JezLaXnmc0vk2Fm8UAjCjtxi4iIiOyVCvaLqVbhPBiJiIiISPimAl3MrKOZJQLnASNKlBkBXBpYPxsYr/GdREREpKrEUuIpnAcjEREREQmTcy4XuAEYAywAhjvn5pnZ/WY2JFDsdaCZmS0BbkZjuouIiEgVipmuds65XDPLfzCKA95wzs2LclgiIiIiNZpzbhQwqsS+e4qsZwJ/jnRcIiIiUjfETOIJgj8YiYiIiIiIiIhIzRRLXe1ERERERERERKQWUeJJRERERERERESqhRJPIiIiIiIiIiJSLZR4EhERERERERGRamHOuWjHUGlmtgNYFO04pJTmwKZoByHF6D2JPXpPYpPel9jT1TnXMNpBSHF6BgtJP0NC070JTvclNN2b4HRfQtO9Ca6y96WDcy6tKgKIqVntKmGRc65ftIOQ4szsV70vsUXvSezRexKb9L7EHjP7NdoxSFB6BgtCP0NC070JTvclNN2b4HRfQtO9CS4W7ou62omIiIiIiIiISLVQ4klERERERERERKpFTU88vRLtACQovS+xR+9J7NF7Epv0vsQevSexSe9LcLovoeneBKf7EpruTXC6L6Hp3gQX9ftSowcXFxERERERERGR2FXTWzyJiIiIiIiIiEiMUuJJRERERERERESqRY1NPJnZCWa2yMyWmNkd0Y6nLjKzN8xsg5nNLbKvqZmNNbPfAv82iWaMdY2ZtTOz78xsgZnNM7O/B/brfYkiM0s2sylmNivwvtwX2N/RzH4JvC8fmVlitGOta8wszsxmmNn/Att6T6LMzFaY2Rwzm2lmvwb26WdYjNDzV2jBPrt1lZ4RgwtxX4aa2erA52ammZ0UzRijQc+vwZVxX/SZ0bN1UGXcl7fMbHmRz0zvSMdWIxNPZhYHPA+cCPQAzjezHtGNqk56CzihxL47gHHOuS7AuMC2RE4ucItzrjtwKHB94Luh9yW6soBjnHMHAr2BE8zsUOAR4MnA+/IH8JcoxlhX/R1YUGRb70lsGOSc6+2c6xfY1s+wGKDnr7CU/OzWVW+hZ8Rg3qL0fQHv/53egWVUhGOKBXp+DS7UfQF9ZvRsHVyo+wJwW5HPzMxIB1YjE0/AwcAS59wy51w28CFwWpRjqnOccxOBLSV2nwa8HVh/Gzg9okHVcc65tc656YH1HXi/ULdB70tUOc/OwGZCYHHAMcAngf16XyLMzNoCJwOvBbYNvSexSj/DYoOevyQsekYMLsR9qfP0/BpcGfelztOzdXBl3Jeoq6mJpzbAqiLbGehLGCtaOufWgvfDEmgR5XjqLDNLBw4CfkHvS9QFunTNBDYAY4GlwFbnXG6giH6ORd5TwD8Af2C7GXpPYoEDvjGzaWZ2VWCffobFBj1/lS3YZ1cK6Xsc2g1mNjvQFa9OdScrSc+vwZW4L6DPjJ6tQyh5X5xz+Z+ZBwOfmSfNLCnScdXUxJMF2RcTmTyRWGBmDYBPgRudc9ujHY+Acy7POdcbaIvXaqB7sGKRjaruMrNTgA3OuWlFdwcpqvck8g53zvXB6851vZkdFe2ApIC+I2XTZ1cq40WgM163mLXAf6MbTvTo+TW4IPdFnxn0bB1KyftiZj2BO4FuQH+gKXB7pOOqqYmnDKBdke22wJooxSLFrTezVgCBfzdEOZ46x8wS8P5zet8591lgt96XGOGc2wpMwOur39jM4gOH9HMssg4HhpjZCrzuQsfgtYDSexJlzrk1gX83AJ/jPUzqZ1hs0PNXGUJ8dqWQvsdBOOfWB35R9AOvUkc/N3p+DS7YfdFnpjg9WwdX5L6cEOi26ZxzWcCbROEzU1MTT1OBLoFR6xOB84ARUY5JPCOASwPrlwJfRjGWOicwRs3rwALn3BNFDul9iSIzSzOzxoH1FOA4vH763wFnB4rpfYkg59ydzrm2zrl0vP9DxjvnLkTvSVSZWX0za5i/DhwPzEU/w2KFnr9CKOOzK4X0PQ4iP7EScAZ18HOj59fgQt0XfWb0bB1KiPuysEgC1/DGvYr4Z8acq5mtzwLTRj4FxAFvOOcejHJIdY6ZfQAMBJoD64F7gS+A4UB74Hfgz845DaIYIWZ2BDAJmEPhuDV34fUH1/sSJWbWC2+Awzi8hP9w59z9ZtYJr7VNU2AGcFHgLxESQWY2ELjVOXeK3pPoCtz/zwOb8cAw59yDZtYM/QyLCXr+Ci7UZzeKIUWVnhGDC3FfBuJ1mXLACuDq/HGN6go9vwZXxn05H31m9GwdRBn3ZTyQhtdlfiZwTZFByCMTW01NPImIiIiIiIiISGyrqV3tREREREREREQkxinxJCIiIiIiIiIi1UKJJxERERERERERqRZKPImIiIiIiIiISLVQ4klERERERERERKqFEk8iEpKZ5ZnZzCJLerRjqipmdpmZbTSz1wLbA83sfyXKvGVmZ5dRx2Nmts7Mbq3ueEVERKRu0POXnr9Eapv4aAcgIjFtj3Oud6iDZhbvnMuNZEBV7CPn3A2VPdk5d5uZ7arKgERERKTO0/NXGfT8JVLzqMWTiFRI4C9VH5vZV8A3gX23mdlUM5ttZvcVKftPM1tkZt+a2Qf5f5kyswlm1i+w3tzMVgTW4wJ/xcqv6+rA/oGBcz4xs4Vm9r6ZWeBYfzP7ycxmmdkUM2toZpPMrHeROH40s1578Zr7Ffmr4xwzc5WtS0RERKSi9Pyl5y+RmkwtnkSkLClmNjOwvtw5d0Zg/TCgl3Nui5kdD3QBDgYMGGFmRwG7gPOAg/B+1kwHppVzvb8A25xz/c0sCfjRzL4JHDsI2B9YA/wIHG5mU4CPgHOdc1PNLBXYA7wGXAbcaGb7AUnOudlhvN4ji7xegPbA/5xzvwK9wWveDXwdRl0iIiIilaHnLz1/idQqSjyJSFlCNfUe65zbElg/PrDMCGw3wHsQagh87pzbDWBmI8K43vFAryL9+hsF6soGpjjnMgJ1zQTSgW3AWufcVADn3PbA8Y+Bf5nZbcDlwFthvt5JzrlT8jfMrNh5ZnYO0CcQp4iIiEh10PNXEXr+Eqn5lHgSkcoo2q/egIeccy8XLWBmNwKhmkTnUtjVN7lEXX91zo0pUddAIKvIrjy8n18W7BrOud1mNhY4DTgH6FfO6ymXme0P3Acc5ZzL29v6RERERCpIz18iUiNpjCcR2VtjgMvNrAGAmbUxsxbAROAMM0sxs4bAqUXOWQH0DayfXaKua80sIVDXfmZWv4xrLwRam1n/QPmGZpafUH8NeAaYWuSvg5ViZo2AD4FLnHMb96YuERERkSqg5y8RqTHU4klE9opz7hsz6w78HBhvcidwkXNuupl9BMwEVgKTipz2ODDczC4GxhfZ/xpeE+7pgcErNwKnl3HtbDM7F3jWzFLwxhc4DtjpnJtmZtuBN6vgZZ4OdABeDbxGypptRkRERKQ66flLRGoSc06TA4hI9TOzoXgPJI9H6HqtgQlAN+ecP8jxy4B+ezOdb6CeoUTwdYmIiIiES89fIhIL1NVORGodM7sE+AX4Z7CHnoA9wIlm9tpeXOcx4CKKj7kgIiIiUufo+UtEQlGLJxERERERERERqRZq8SQiIiIiIiIiItVCiScREREREREREakWSjyJiIiIiIiIiEi1UOJJRERERERERESqhRJPIiIiIiIiIiJSLZR4EhERERERERGRaqHEk4iIiIiIiIiIVAslnkREREREREREpFoo8SQiIiIiIiIiItVCiScREREREREREakWSjyJiIiIiIiIiEi1UOJJRERERERERESqhRJPIiIiIiIiIiJSLZR4EhERERERERGRaqHEk4iIiIiIiIiIVAslnkREREREREREpFoo8SQiIiIiIiIiItUiPtoB7I3GjRu7fffdN9phiNQ5u3bton79+tEOQ6TO0XdPJHr0/ROJDn33RKJj2rRpm5xzaVVRV41OPLVs2ZJff/012mGI1DkTJkxg4MCB0Q5DpM7Rd08kevT9E4kOffdEosPMVlZVXepqJyIiIiIiIiIi1UKJJxERERERERERqRZKPImIiIiIiIiISLWo0WM8iYiIiIiIiEjNlJOTQ0ZGBpmZmdEOpc5KTk6mbdu2JCQkVNs1lHgSERERERERkYjLyMigYcOGpKenY2bRDqfOcc6xefNmMjIy6NixY7VdR13tRERERERERCTiMjMzadasmZJOUWJmNGvWrNpbnCnxJCIiIiIiIiJRoaRTdEXi/ivxJCIiIiIiIiIi1UKJJxERERERERERYOjQoTz++OMhj3/xxRfMnz8/ghHVfEo8iYiIiIiIiIiEQYmniovIrHZm9gZwCrDBOdczyHEDngZOAnYDlznnpkciNhERERERERGJrhtvhJkzq7bO3r3hqafKL/fggw/yzjvv0K5dO9LS0ujbty+vvvoqr7zyCtnZ2ey77768++67zJw5kxEjRvD999/zwAMP8OmnnzJ+/PhS5erVq1e1L6SGi1SLp7eAE8o4fiLQJbBcBbwYgZhEREREREREpA6bNm0aH374ITNmzOCzzz5j6tSpAJx55plMnTqVWbNm0b17d15//XUGDBjAkCFDeOyxx5g5cyadO3cOWk6Ki0iLJ+fcRDNLL6PIacA7zjkHTDazxmbWyjm3NhLxiYiIiIiIiEj0hNMyqTpMmjSJM844o6CV0pAhQwCYO3cud999N1u3bmXnzp386U9/Cnp+uOXqsogknsLQBlhVZDsjsK9U4snMrsJrFUVaWhoTJkyIRHwiUsTOnTv13ROJAn33RKJH3z+R6NB3r3Zr1KgRO3bsiGoMmZmZZGdnF8SRnZ1NVlYWl156KcOGDeP/2bvz8KjKs/Hj3zMz2feN7AuEJKyBsCNbEEFRodq6gLyutS6tvm6ttq/9VWpta9Vqq9aqrRWqqLXigoAFpIQ1QFgDSSCQQEJCgCxk32Y5vz8eEhKyDZqZELk/15XrZM48OfNMknPmnPvcz/2MHDmSZcuWsXnzZmpqajCbzTQ0NLS276pdf9LY2OjQ/exSCTxpnazTO2uo6/rbwNsASUlJempqqgO7JYToTFpaGrLvCeF8su8J0Xdk/xOib8i+992Wk5ODj49Pn/Zhzpw53HXXXTzzzDNYLBbWrFnD/fffT21tLYMHD8bd3Z3ly5cTGRmJj48PgYGBWCyW1n531a4/cXd3JyUlxWHbv1RmtSsCots8jgJO9lFfhBBCCCGEEEIIcRkYM2YMt956K6NHj+YHP/gB06ZNA+A3v/kNEydOZPbs2QwZMqS1/YIFC3jxxRdJSUkhLy+vy3bivEsl42kF8JCmaR8BE4Eqqe8khBBCCCGEEEIIR3v66ad5+umnO6x/8MEHO6ybMmUK2dnZ7dp01k6c55TAk6ZpHwKpQLCmaUXAM4ALgK7rbwKrgWuBo0A9cLcz+iWEEEIIIYQQQgghHMdZs9ot7OF5HfiJM/oihBBCCCGEEEIIIZzjUqnxJIQQQgghhBBCCCG+YyTwJIQQQgghhBBCCCEcQgJPQgghhBBCCCGEEMIhJPAkhBBCCCGEEEIIIRxCAk9CCCGEEEIIIYS4LL366qsMHTqURYsWsWLFCp5//nkAFi9ezEsvvQTAkiVLOHnypMP6EBcXR1lZWbdtlixZwkMPPdRtm7S0NLZt29abXesVTpnVTgghhBBCCCGEEOJS88Ybb/DVV18xcOBAAObPn9+hzZIlSxgxYgQRERF2b9disWAyOTfkkpaWhre3N1dccYVTX7cnEngSQgghhBBCCCFEn9J+rTkskO1uAAAgAElEQVRku/ozepfPPfDAA+Tn5zN//nzuueceAgIC2LVrF6+//nprm08++YRdu3axaNEiPDw8SE9PJzs7m8cff5za2lqCg4NZsmQJ4eHhpKamcsUVV7B161bmz5/PHXfcwQMPPEBhYSEAf/rTn5gyZQrl5eUsXLiQ0tJSJkyYgK533sd3332X3//+94SHh5OYmIibmxsAX375Jc899xzNzc0EBQWxbNkyGhoaePPNNzEajbz//vu89tprVFZWdmgXGhrai79d+8hQOyGEEEIIIYQQQlx23nzzTSIiItiwYQOPPfZYp21uuukmxo0bx7Jly9i3bx8mk4mHH36YTz75hN27d3PPPffw9NNPt7avrKxk48aNPPHEEzzyyCM89thjZGRksHz5cu69914Afv3rXzN16lT27t3L/PnzWwNTbZWUlPDMM8+wdetW1q1bR3Z2dutzU6dOZfv27ezdu5cFCxbwwgsvEBcXxwMPPMBjjz3Gvn37mDZtWqft+oJkPAkhhBBCCCGEEKJPdZeZdCk5fPgwBw8eZPbs2QBYrVbCw8Nbn7/11ltbv//666/bBYyqq6upqalh06ZNfPrppwBcd911BAQEdHidHTt2kJqaSkhISOt2c3NzASgqKuLWW2+lpKSE5ubm1mGCF7K3naNJ4EkIIYQQQgghhBDCDrquM3z4cNLT0zt93svLq/V7m81Geno6Hh4eHdppWs9DC7tq8/DDD/P4448zf/580tLSWLx48bdq52gy1E4IIYQQQgghhBCiCz4+PtTU1ACQlJREaWlpa+DJbDaTlZXV6c/NmTOnXb2offv2ATB9+nSWLVsGwFdffcXZs2c7/OzEiRNJS0ujvLwcs9nMv//979bnqqqqiIyMBGDp0qWd9rO7ds4mgSchhBBCCCGEEEKILtx111088MADjB49GqvVyieffMJTTz3FqFGjGD16NNu2bev051599VV27dpFcnIyw4YN48033wTgmWeeYdOmTYwZM4a1a9cSExPT4WfDw8NZvHgxkydP5qqrrmLMmDGtzy1evJibb76ZadOmERwc3Lp+3rx5fPbZZ4wePZrNmzd32c7ZtK6qp/cHSUlJ+uHDh/u6G0JcdtLS0khNTe3rbghx2ZF9T4i+I/ufEH1D9r3vtpycHIYOHdrX3bjsdfZ30DRtt67r43pj+5LxJIQQQgghhBBCCCEcQgJPQgghhBBCCCGEEMIhJPAkhBBCCCGEEEKIPtGfy/98Fzjj9y+BJyGEEEIIIYQQQjidu7s75eXlEnzqI7quU15ejru7u0Nfx+TQrQshhBBCCCGEEEJ0IioqiqKiIkpLS/u6K5ctd3d3oqKiHPoaEngSQgghhBBCCCGE07m4uDBw4MC+7oZwMBlqJ4QQQgghhBBCCCEcQgJPQgghhBBCCCGEEMIhJPAkhBBCCCGEEEIIIRzCaYEnTdOu0TTtsKZpRzVN+3knz8domrZB07S9mqZlapp2rbP6JoQQQgghhBBCCCF6n1MCT5qmGYG/AHOBYcBCTdOGXdDsl8DHuq6nAAuAN5zRNyGEEEIIIYQQQgjhGM7KeJoAHNV1PV/X9WbgI+B7F7TRAd9z3/sBJ53UNyGEEEIIIYQQQgjhACYnvU4kcKLN4yJg4gVtFgNrNU17GPACrupsQ5qm3QfcBxASEkJaWlpv91UI0YPa2lrZ94ToA7LvCdF3ZP8Tom/IvidE/+eswJPWyTr9gscLgSW6rv9R07TJwHuapo3Qdd3W7od0/W3gbYCkpCQ9NTXVEf0VQnQjLS0N2feEcD7Z94ToO7L/CdE3ZN8Tov9z1lC7IiC6zeMoOg6l+yHwMYCu6+mAOxDslN4JIYQQQgghhBBCiF7nrMBTBpCgadpATdNcUcXDV1zQphCYBaBp2lBU4KnUSf0TQgghhBBCCCGEEL3MKYEnXdctwEPAGiAHNXtdlqZpz2qaNv9csyeAH2math/4ELhL1/ULh+MJIYQQQgghhBBCiH7CWTWe0HV9NbD6gnW/avN9NjDFWf0RQgghhBBCCCGEEI7lrKF2QgghhBBCCCGEEOIyI4EnIYQQQgghhBBCCOEQEngSQgghhBBCCCGEEA4hgSchhBBCCCGEEEII4RASeBJCCCGEEEIIIYQQDiGBJyGEEEIIIYQQQgjhEBJ4EkIIIYQQQgghhBAOIYEnIYQQQgghxCXNbAZd7+teCCGE+CYk8CSEEEIIIYS4ZFVVQWwsTJ0KeXl93RshhBAXSwJPQgghhBBCiEvW669DSQlkZsLPftbXvRFCCHGxTH3dASGEEEIIIYToTEMDvPIKXHcdhITAypVqyJ2m9XXPhBBC2EsynoQQQojLSE4OPP00WK193RMhhOjZli1QXg4//jFMmQJlZZCb29e9EkIIcTEk8CSEEEJcJhob4aab4He/g127+ro3QgjRs6+/BhcXmD5dBZ4Atm7t2z4JIYS4OBJ4EkIIIS4Tr7wC2dnq+3Xr+rYvQghhj/XrYdIk8PaGpCQIDJTAkxBC9DcSeBJCCCEuE6tWwYQJMGaMBJ6EEJe+igrYswdmzVKPDQYYPx727u28va7r/Dvr3yz4ZAG/3fRbdF13XmeFEHY5eBBefVVlM4rLhxQXF6IP2Wzw3ntw5ZUQHd3XvRFCfJfV1cGOHfDTn6rCvC+/DDU14OPT1z0TQojOpaWp41VL4AkgIQHS0zsvML48Zzm3fHILAP/K+hdBnkE8MO4B53VYCNEtXYcFCyArC9zcoLRUzkMuF5LxJEQfWrkS7roLxo1T0X8hhHCULVvAYoGZM2HGDDCbu84aEEKIS8H69eDlpTI1W8THQ3W1KjjeVl1zHY+teQyAQQGDAHj0P49SVl/mrO4KIXqwdasKOt1xBzQ1werVfd0j4SwSeBKiD73yCkREQH09vPFGX/dGCPFdtmGDKtA7ZYqqkwJw5Ejf9kkIIbqzfr0KlLu6nl83eLBaHj3avu37me9TVF3EmPAx5D6Uy5z4OTRZm/h31r+d12EhRLfeegt8feH11yE0FJYv7+seCWeRwJMQfeTAAZVC/uijql7B7t193SMhxHfZ1q0wdqzKHoiJAZOp44WbEEJcKoqK4PDh9sPsQGU8AeTltV//wcEPAPjfCf+L0WDk9uTbAXj/wPuO7qoQwg5NTfD553DrrWp43Y03qoynpqa+7plwBgk8CdFH3n9fXfjdfbe6GNy/H5qb+7pXQojvIotFBbcnTlSPTSYYNKj7jCdd16luqnZOB4UQ4gJpaWp55ZXt1w8cqGo7tQ2cF1YVsqlgE+4md24ceiMANw65ES8XL7ad2EZBZYFzOi2E6FJaGtTWwve+px5fdZWqP7lvX+ftmyxNPLXuKVKXpPJZzmdO66dwDAk8CdEHbDb46COYPRuCg1WNp6YmNeZZCCF6W1YWNDS0r5OSkNB1xpOu6zyw8gH8nvdj9nuzKaouck5HhRDinPR0lRUxcmT79e7uEBXVPuNpebYarzMvcR6+br4AeLl6MWuQSpfaWLDRKX0WQnRtxQrw9DwfTJ48WS3T0zu21XWdeR/O44VtL7CxYCPf//j7LMtc5rzOil4ngSch+kB6OhQWwsKF6vG4cWrZ03A7mRZYCPFN7Nyplm0DT4MHq8BTZ4eVV3e8ytt73gbg6/yvWwv2CiGEs2zfro5ZRmPH51qOXy3W5q8FYH7S/HbtpsVMA2BTwSaH9VMI0TNdV4GnOXPAw0Oti4hQQ/+3b+/Y/tOcT1mXv45gz2AemfgIAE9+/SR1zXVO7LXoTU4LPGmado2maYc1TTuqadrPu2hzi6Zp2ZqmZWma9oGz+iaEs/397+DtDTfcoB4PGgT+/l0Hng6cPsCQ14dgfNbI7Z/dLgEoIcRF2bkTAgLO10YBlfFUVwclJe3bNlub+e3m3wLw0uyXcDW6sjx7OYfKDjmxx0KIy1ldnSpBMGlS588PGgT5+er7RksjG4+rjKarBl3Vrt302OkAbC7c7LC+CiF6tm+fqts2v31smEmTOgaebLqNX6z/BQC/mfkbXr76ZcaGj+VkzUn+tudvTuqx6G1OCTxpmmYE/gLMBYYBCzVNG3ZBmwTgF8AUXdeHA486o29CONvZs/Cvf8Ftt6kUclC1CoYMgdzcju3rzfXc+smtHC4/jI7O+5nv89but5zbaSFEv7Zzp8oc0LTz6xIS1PLCOk8rc1dSWl/KiAEjeHzy49w16i50dF7f+brzOiyEuKzt3g1W6/mhOBeKiYHTp1WZgq2FW2mwNDAqdBRh3mHt2qWEpeDp4klueS6nak85oedCiM6sWKHOQa67rv36yZOhoKD9TbC042kcqThCrF8sP0z5IQbNwFNTngLgo4MfObHXojc5K+NpAnBU1/V8XdebgY+A713Q5kfAX3RdPwug6/oZJ/VNCKf6+GNVa+X++9uvj4/vOEMLwOs7XyenLIchwUN4Z/47APxi/S9otDQ6obdCiP6urg4OHmw/zA5UgV5QJ3xtvbNXHWd+mPJDNE3jnpR7APjP0f84uqtCCAHAjh1q2TIhwoViYtSyqEgNBwaYPWh2h3YuRhcmR6no1faiTsbzCCGc4ssvVXbTgAHt148dq5ZtC4wv3b8UgDtH3YmL0QWA6xKvw9PFkx3FOzheedwJPRa9zeSk14kETrR5XARc+FGSCKBp2lbACCzWdb3DWa6mafcB9wGEhISQ1jLlhRD9xGefDSEwMIDq6nTa/vuaTHEUFsaydu0mXF3VUDpd13k141UA7gi7g0FVg0jwTuBI7RFe+OwFpodM74N3ALW1tbLvCdEHvsm+l5nph82WgofHAdLSylvXNzYagOls3pxPTEwhAA3WBtYdXYeGRlx1HGlpaVh1K94mb/LO5vHhVx8S7hHei+9IiP5DPvuc5z//GUpoqB8HD3YeLKqo8AdGs2LFPlaxCoDAmsBO/z4hlhAAPtv+Gf6n/B3VZeFAsu/1b+XlruzefQX33ptPWlphu+dqa03AVD7/PA8PjxM0WBv4+MDHACQ2Jrb7u0/0n8iG0g384cs/cGv0rU58B6I3OCvwpHWy7sIiNSYgAUgFooDNmqaN0HW9st0P6frbwNsASUlJempqaq93VghH+t//VRH/C/93T5yApUshNnYGSUlq3YZjGyjeVEyUbxRP3vgkRoORB90e5PG1j7PPto9fpf7K+W8ASEtL69B/IYTjfZN9r6V23D33jCQ0tP1zAQHg6jqI1NRBAKw+shrzFjMTIidww5wbWttdXXo1y3OWUzOghoVjF36btyBEvyWffc5z//1wxRUdz5VaREXBE0+Ab+BQck+oOgX3X3s/gR6BHdqWBJXw0YmPqHSvlL9fPyX7Xv/23ntq+eCDgxgzZlCH52NioLY2ntTUeD4/9DmNtkYmRE5g0dxF7dqdCj7FhuUbyNfy5f+hH3LWULsiILrN4yjgZCdtvtB13azr+jHgMCoQJcR3RkMDZGfDmDEdnxs8WC3bztKy7ICaNvTu0XdjNKhpXRaMWIBBM7DqyCqZ2UEI0aOdOyE2lg5BJ1AXb0VF5x+vzVMzQ80ZNKddu5YhLC1DWoQQwlGqq1XNy87OlVpERanljsI9NFmbGBYyrNOgE0BKeAoAe0v29nZXhRB2WLcOgoNh9OjOn09OhsxM9f3K3JUAzE+c36FdalwqAFsKt9BsbXZEV4UDOSvwlAEkaJo2UNM0V2ABsOKCNp8DMwE0TQtGDb3Ld1L/hHCKgwdVscyUlI7Ptcw21VLnyabbWHVEpY/fNOym1nbhPuGMDR9Ls7WZbSe2ObrLQoh+LiMDxo/v/LmoKCguPv+4NfAU3z7wNC1WTUm+s3inQ/oohBAt9u9Xy87OlVq4u6taMZlntwIwJXpKl20TAhPwdPHkRPUJyuvLu2wnhOh9ug5ffw2zZoGhi8hDcjIcOgQNjbbWwNO8pHkd2oV5hzEkeAj15np2ndzlyG4LB3BK4EnXdQvwELAGyAE+1nU9S9O0ZzVNawlnrgHKNU3LBjYAP9N1XT4dxHfKnj1q2dldvJAQNctdS8bTnpI9nKo9RbRvNCMHjGzXdkbsDAA2Fmx0ZHeFEP1cbS0cOwajRnX+fGTk+YynM3VnyCnLwdPFk0lR7ecwTwpKwsvFi4KqArlwE0I41N5ziUndZTyBGp5zzNpz4MloMJIcmgzAvlP7umwnhOh9hw+rGetmd6z93yo5GSwW+DR9D6frTnd67dNiZtxMQM18J/oXZ2U8oev6al3XE3Vdj9d1/bfn1v1K1/UV577XdV1/XNf1Ybquj9R1XeZKFN85+/aBv78a9nIhTWs/s11LxP/6xOvRtPZl0mbESeBJCNGznBy1HDas8+ejouDMGWhuhh1Fahqp8RHjW2eRaWE0GBkdpnLkd5fsdlh/hRBi3z6VzRTewzwG0TE65Z7nAk8xXQeeAEaHquNX5unMXumjEMI+LXUmu5qhEmD4cLX8MnsdANcMvqbDtU+Llpvvmws391ofhXM4LfAkhFD1nYYPV0GmzsTFwfHj6vt1+ergO3fw3A7tpsZMRUNjR9EO6s31jumsEKLfy8pSy5aTugtFRqo0+JISSC9KB2idevxCY8JV+sHukxJ4EkI4TlYWjBjRczvfuKNY3UsZ4DWA+ID4btsOH6AOglmlWb3RRSGEnfbsUUNjhwzpus3gweraaGepqiPZUleyMxMiJwCw6+QudP3CucrEpUwCT0I4UXY2DB3a9fNxcVBQAHXN9WQUZ2DQDEyPnd6hnb+7P8mhyZhtZimWKYToUlYWuLqeryF3oZYCvUVFsL1ITVt+4TC7FmPDxwKS8SSEcBxdV+dKXWVpttU0QGU7TQib0mV2RIvhIRJ4EqIv7NmjhvubTF23cXeH6EENFOhqn545cGaXbeP84wj0CKSsvowT1Sd6u7vCgSTwJISTlJZCWVn3J1OxsVBXB2uz0zHbzKSEpeDn7tdp23ER4wCkuJ4QoktZWeouY1cnfC2Bp8IiS2vh8K4CTy0ZT3tPSbBbCOEYhYWqNl1XWZptlXpsASDRvfthdnA+4ym7NFuyJIRwEl1XNdu6myigxYCxW7EZmkgJSyHYM7jLdpqmyTVQPyWBJyGcpKXWSncZTy21n1ZlpwHnxzF3puWgK9kHQoiuZGV1fwEXGamWuwoPUmeuY6D/QEK9QzttmxSchFEzcuzsMRrMDQ7orRDicpedrZb2BJ7ymlV2RLhlao9tB3gNINgzmOqmaoprintsL4T49o4dg6qqnicKANAHqmF2swZe1WPbceESeOqPJPAkhJP0VOQXzgeethWrouEtRcQ7I8NehBDdqaxU2QPd1Urx9wdPT9hXrobZTY7uvL4TgKvRlfjAeHR0cstze7u7QgjRY126FuX15RyvOwRmd1zK7EinAIaFqBOwrDMy3E4IZ8jIUMuxY3tuW+qzHoDRvj0HnsZGyDVQfySBJyGcJDsbvLwgOrrrNrGxgKmB3PodaGhMi5nWZduRoSMxGUzklOZQ21zb+x0WQvRre/ao5bhxXbfRNDXcLq+p+8LiLYYGq5TNnLKcXumjEEK0lZUFYWEQGNh9u20ntgGglUzg5AlXu7YtdZ6EcK4tW8DbG5KTu29X0VDBCctusLjiX91zBmPboXYydLb/kMCTEE5y8KAaZtdd/cvAQHAfvAMrzSSHJhPgEdBlW3eTOyMGjEBHZ9+pfQ7osRCiP9t1LgO9pzuNkZFw2kUFnrqq79SiNfBUKoEnIUTvy8iwrx7M1hNqmJ1f1RQKC+3bdmvgSTKehHCKzZth8uTuC4sDbDi2AR0dTlxBYZ5nj9uN9o0mxDOEioYKjlce753OCoeTwJMQTqDrKvugpzHOmgY+I9MASI1L7XG7KWHq7Gz/qf3fsodCiO+aXbvUTJlBQd23C4kpp9HrCO4md0aFjuq27dAQyXgSQjhGZaXKeJrcfeIlcD7wFM1FBJ5aCoyXZX/TLgoh7FRVBZmZMLXnBCa+zlf1nYyFV5Gf33N7TdNkuF0/JIEnIZzg2DF1QmXPGGdr9Ln6Tt0UFm/RcpG4/7QEnoQQ7e3a1f0wuxZ65A5A1Y1zMbp027alRooEnoQQvW2HOhRxxRXdt2swN7CzeCcaGsN9J3PCzhnVW45fMrOdEI6Xnq5uvNsTeFp/TNV3imqeZVfgCaTAeH8kgSchnGD3uWB8T4GnJksTVT6qyO+02K7rO7UYFSaBJyFERxUVKuBtT+Cpxk8dc5IDek4zGBI8BIDc8lwsNsu36qMQQrSVng4GA0yY0EO7onSarc2MChvF4MhAiovBYsfhqO3MdkXVRb3TaSFEp7ZsAaMRJk7svl1BZQFHKo7g6+bLUL9x5OXZt/22dZ5E/yCBJyGcYPducHHpfnYpgJ3FO7FqjXB6BN6G4B63mxyqqvUdOH0Aq83aG10VQnwH2BvsBigxqcBTnEv39Z0AvF29ifaNptnaTP5ZO29LCiGEHbZtg5Ejwcen+3Ybjm0AYGbcTGJiwGaDkyftew0pMC6Ec2zZokqMeHl1364l22lm3EwS4k3k56tMqZ60HWonGYz9gwSehHCCPXtU0MnNrft2acfT1DcFM+w6iQr0CCTKN4oGSwNHK45+634KIb4b7C0sbtNtHG1Q41uCG3oOPEGbOk9SYFwI0UusVjXUzp76TmkFacD5wBNw0QXGs0ulzpMQjtLUpPZne4bZrc1bC8CsgbMYNAhqaqCsrOefi/SJZIDXACobK6XAeD8hgSchHEzXVfaBPZkHGwtUfSeOp1JcbN/2pc6TEOJCu3ZBfDwEdD0xJgCHyw5TZ6mGqigazkTate3Wme2kzpMQopdkZ0N1dc+Bp3pzPTuKdmDQDEyLnXbRgaeWOk8ys50QjrNnDzQ29hx4MlvNrMlbA8C1CdcSH6/W21tgfEy4mrVpT8meb9Nd4SQSeBLCwQoKVL0Ve+o7bTux7dwPTafIzvIDrYEnmdlOCHHO7t321XfaXqSG2WnFk+wOdkvgSQjR29LT1bKnwuJbC7ditplJCUvB392f6Gi1/mJntpOhdkI4zpYtajllSvfttp3YRmVjJUOChxAfGM+gQWq9vXWexobLzHb9iQSehHCwPeeC8D0FntKL0mmwNDA0aDjUDbA/8CQFxoUQbZSWqoC3PVmWLYEnv9pJdh9zZKidEKK3padDcDCtGQ9d2XD8fH0nAG9vCAz8ZkPtpC6MEI6xZQskJEBoaPftVuauBOC6hOsALjrwJBlP/YsEnoRwsN27wWRSBTO783X+1wBcPXg2Pj7IUDshxDeyd69a2hV4KlaBpyguPuPpUNkhuXATQvSKbdvUMDtN675dS+ApNS61dV1MDJw4Yd/rhHiFEOIZQk1zDSeq7fwhIYTdbDbYuhWm9Tw5N6uOrALg+sTrAfDwgNhYOHTIvtdqG3iS85FLnwSehHCw3bth+HBwd+++3br8dQDMjp9NZCR2Zx8MDhyMh8mDouoiKhoqvmVvhRD9XWamWiYnd9+utrmWg2cOYjKYSPQeY/cxJ8QrhCCPIGqaa2RKciHEt1ZeDrm5PQ+zq2mqIaM4A6NmZFrs+ava6Gj7M57g/HA7KTAuRO87dEjt0z3Vd8o/m09OWQ5+bn5MiT4/Jm/oUFXzzR6xfrEEuAdQWl9KcY2dd89En5HAkxAOZLOpIr89ZR6cbTjLrpO7cDG4MD12OlFR9geejAYjI0NVOlXm6cxv2WMhRH934ACEhalhK93ZdXIXNt3G6LDRxEZ6UFRk3xTGcL5Ar9R5EkJ8W9tV4mWPhcXX5a/DqluZEDkBXzff1vUxMRcXeBoWLAXGhXCUlvpOPQWeVuWqbKerB1+Ni9Gldf2wYSp4ZbX2/FqapjE24lydp5NS5+lSJ4EnIRxo924V9b/yyu7bbTi+AZtuY3L0ZLxdvYmMtH+oHUiBcSHEeQcO9Dy0F2idzGBi5ESioqC+Hqqq7HuN1gLjUudJCPEtbdsGRiOMH999uy9zvwRgXuK8dutjYqCyUs2KZw8pMC6E42zaBAMGwODB3bdbeUTVd7o+4fp264cOVTPiFRTY93pjwqTOU38hgSchHOirr1S9gquv7r7durxzw+wGzQZU2vjJk9DcbN/rSJ0nIQSAxaJS1HsaZgeQdjwNgOmx04mMVOvszbRsyXiSoSpCiG8rPR1GjwZPz67bWG3W1gyJeUkdA09w8QXGJfAkRO/SdVi/Xt1w765eW2ldKevz12PUjMxNmNvuuWHq9IIcO+9rtdZ5OiWBp0udBJ6EcKCvvlJ38Hoa8vL1MVVY/KpBVwFqVgebzf6TKJnZTggBcPQoNDX1nPFktppbM55ahveC/YGn1pntZKidEOJbMJth586eh9mlF6VTWl9KnH9ca+CoRUKCWh4+bN9rtq3xJAWJheg9Bw/CqVMwZ0737T7J/gSrbuXqwVcT7Nn+ImmoOr2wu86TzGzXf0jgSQgHOXtWnUzNndt9u+OVxzlacRQ/Nz/GRYwDzk8nbO90oiMHqKvMrDNZWGyWb9plIUQ/11JYvKfA0+6S3dSZ60gKSiLMO6w18GTvEF+p8SSE6A07d0JdHcyY0X27Dw58AMDNw25GuyCVYtgwMBjOH/96EuwZTIhnCLXNtTKznRC9aJ0awMHs2d23W3ZgGQC3jbitw3MBARAersoG2CM+MB5fN19O1pykpKbkYrornMxpgSdN067RNO2wpmlHNU37eTftbtI0Tdc0bZyz+iaEI2zcqLKWrrqq+3ZfHlY1C2YNmoXJYAJUxhNAfr59r+Xn7kecfxxN1iYOl9l5y08I8Z1z4IC6AGu5Y9iVlmF2LVOSh4er9fZmPEX6ROLj6kNZfRmldaXfrLNCiMveunVqSE53tTDNVjMfZ30MwKKRizo87+EBiYn2B56gTZ0nKTAuRK9ZswaGDKH1ZlZnckpz2HpiK14uXnxvyPc6bTN58vki5T0xaAbGR6gCcduLtl9sl4UTOSXwpGmaEd/i1bcAACAASURBVPgLMBcYBizUNG1YJ+18gP8FdjijX0I40oYNql7BhAndt/vs0GcA3DjkxtZ1ERHg5mZ/xhNInSchhAo8JSaqC7HurMlbA8DMuJkAuLpCaKj9gSdN02S4nRDiW1u3DsaNg8DArtusPrKa8oZyhocMJzm08wJ2yckXGXiSOk9C9KrKSnXtM29e9+3e3PUmoILI3q7enbaZPh2OHYMTdiYkXhF9BXB+0hRxaXJWxtME4Kiu6/m6rjcDHwGdhTh/A7wANDqpX0I4zH//C1OmqAu6rpTXl7OpYBMmg4nrEq5rXW8wwMCB9mc8gcxsJ4Swb0a76qZqthRuwaAZmBN/vhBDbCwcP27/a7XMbCcFxoUQ30RlJezY0fOwnL9k/AWAu0ff3WGYXYvkZHXOVFNj32u3BJ7k+CVE7/jyS1Wz7Qc/6LpNTVMNS/cvBeDB8Q922a5l6O2mTfa9dmvgqUgCT5cyk5NeJxJoG7MsAia2baBpWgoQrev6Sk3TftrVhjRNuw+4DyAkJIS0tLTe760Q39LZsy4cPDiFSZPySUvrukL4qpJVWHUr4/zHsX9H+4CRv/9I9u93Iy1tl12vaSwzArAhZwNpLmnfuO/2qK2tlX1PiD7Q3b7X0GAkP38aM2YcIy2t63mIN5dtxmKzMMJ3RLvjjq/vUA4c8CMtzb5UdbdqNwDW7VvHkNoh9r+Jy0h5uSsHD/qSm+tDQICZQYNqOXPGHTc3K4MH1xIZ2QCajTNNZyhpKKG0uZQacw1W3YpRMxLiFkKoeyiDvAbhYnDp67dz2ZPPvt71xRcRWK2JREXtJi2t84hRQV0B6/LX4W5wJ7Euscvfv6YFASNZunQPI0ZU9/jazZVq2uD0vHT5m16E2lojRqOOh4et23YtRdu7ChRe/OvKvnepe+utEQQH+1BXl05Xf6oPCj+gqqmKZL9kKg9Vknao84ZWK3h5TeXDD88QGZnb42tbLKq+bUZRBmv/uxZXQzd3/UWfcVbgqbOjTus0EpqmGYBXgLt62pCu628DbwMkJSXpqampvdNDIXrR+++r5f33D2LcuEFdtlu8ZDEAD057kNSU1HbPjR8P774LM2akdjslaYvoimieyX6GInMRjt4v0tLSHP4aQoiOutv3tp+LF82fP5DU1IFdbmPZClXUc8HYBaROP7+tTZvUNMgTJ6b2OFQPoOZwDW8fe5tqt+rL/niQnQ2rVoGXF0RHq9kFjx2Dv/4VLBYwGtWJNK41EHoAQjMhdD/GyExMEQdoovs0DU8XT6bGTOWGpBu4dcStBHp0My5JOIx89vUeXYdHH4WUFHjggbFdnufc/tntANyZcifzZnc9hichAZ5+Gpqbx2DPn2hUwyge3f8ox+qPMWXaFFyMEthtUVUF1dXqWAbQ0ADvvKMy+VeuVMeyK66ABx+EpCTYntGMOTKNMs/NbC9O53jlcYqqi2i2NuNmciPQI5ChwUMZMWAEswbOYubAmV0OseqK7HuXtjNn1EQBDz0EV16Z2mmb2uZabs64GYCX5r1Eanzn7VrMmQPbtkUwdWoEJjsiFsNzh5NVmoXXYC+mxEy5qP4L53BW4KkIiG7zOAo42eaxDzACSDsXGQ8DVmiaNl/XdfvSPYS4hHz1FQwYAGPGdN2moLKAjQUbcTe5c9Owmzo8n5AAtbVqlqnuivS1GBgwEG9Xb0pqSyitKyXEK+RbvAMhRH/TMgNMd0PtzFZza125+Unz2z2XmKguBvPyYMSInl+vdWa70u9+jafaWvj8cygogO99D4YPV5NH/POfsG8f/O1v6uKslbEZgo4w474sBl+RRanhAHuK91NU1378tPXcl2tzKGNiExgYFE2gRyCuRleaLE2cqD7B4fLD5JbnsjZvLWvz1vLomkeZlziPO0fdyTWDr5ELZtEvpaXB/v3w5pt0GXTKPJ3JssxluBpd+fnULuclAiAyUp03bdgAjz/e8+sHeASQGJRIbnkumaczGRsx9uLfxHdMdTUsXgxvvQX19apcxJAh8PXX6tgXE6OCTX5+8OGHsOiJvZDyLoz8AE6Xd7rNRksjJ2tOcrLmJOuPrefPO/6Mi8GFuQlzuSP5Dq5PvB43k5tz36jode++q4bZ3Xdf122e2/QcZfVlTIqaxFWDeph5CbjjDvjsM1i7Fq69tuc+pMalklWaxfpj6yXwdIlyVuApA0jQNG0gUAwsAFrnT9R1vQoIbnmsaVoa8FMJOon+yGpVszpce62q1dSVJfuWAHDDkBvwdfPt8PykSWq5dSvcemvPr2vQDCSHJrPtxDb2n95v10FdCPHdsX69KhA+sOtkJ9YfW095Q3nr3ee2EhPVMjfXvsBTnH8c7iZ3imuKqWqsws/d71v0/tJRUQE+PuByLp6zeTMsWnS+yOkvfwkhA2wYfEs43VSAS3ABMTcXMvnaAk7WFZJfkU9RwxEsNgsbgY1Hz2/b1ejKsJBhJIcmMyp0FMmhyeSkJfPTBwfQOAxckqGoCubOhbAwmPsDVSewpKaEdfnrWHZgGevy1rE8ZznLc5YzwGsAi0Yu4s5Rd5Icmtxrw1qEcCSzGR5+WNWVu/32zttYbVYeXPUgOjoPjnuQOP+4Hrc7cyZ89JHKMrQnQ2Ji5ERyy3PZUbzjsg88lZSoujpHj6oL/vh4WLECvvhC3cz4xz/UzIOldaV8cOADvCLehTaT2US5jKAx62rK9kzl+9OG8tZLkQR4e1Bd38TJ6lMcr80h42QGa/LWsLN4JysOr2DF4RX4u/uzcMRC7h1zL2PCu7lbKy5ZFRUqu3fGDBWo7EzWmSxeTn8ZDY0/X/Nnuz6rrr0WgoJUUMuewNPsQbP5S8ZfWJu3ll/N+NVFvgvhDE4JPOm6btE07SFgDWAE/qHrepamac8Cu3RdX+GMfgjhDOnpUF6uLhy60mxt5q+7/grAj8b8qNM2KSng7a2Gv9gTeAJVYHzbiW3sPyWBJyEuJ83NKtPy5pu7D3h/dPAjABaMWNDhxC8hQS2PHLHvNY0GI0lBSew/vZ+cshwmRU36Jl3vc+XlsGsXZGSoINO6dSroM2YMBAfDx19WEDB6E7ct3kkJe8k6mU+5pQCr1gSAGcgD8g6d36aGRnxAPMNChjE8ZDgjBoxgVNgokoKSOmQoXTUIEiJUJtWhQyqb4Isv1HMDBsCPfgRPPRWOS/Yd3OdxB/dPKWa/7X3+fWQpOWU5vLL9FV7Z/goD/QdyfeL1XJdwHdNjp+PhYsd4SQepq4PSUoiLO7/u+HH1fjw9+6pX4lJQUwP33gtZWSqLsKv/h99v+T3bTmwj3Dvc7ovIK6+Et9+GPXt6nlEYVODpvcz32FG8gx+P//FFvIvvBpsNzp6FJUvgz39W32/YcL6w8//7f2pZ01TDqiOruPFf/2JV7irMNjMAgR6BLBq5iLtG30VKWAoWi8azz8Jzz8HWFTB2LKSne9LcPIhf/nIQjz5wHYtTF3Oq9hQfHviQ9zLfY++pvfx111/5666/khKWwr1j7uW2kbfh7+7fN78UcVGOHIEFC1Tg8p//7LxNg7mBBcsXYLaZuW/MfUyItGPnRN10+eEP4cUX1efz+PHdt585cCZGzcj2ou3fqZthvaW5GfbuVcH56Gj4yU/U77i5WWWgZh1qJjCuiIihhZxuOEFtcy0Wm6VX++CsjCd0XV8NrL5gXaefJLqupzqjTy2W7FvCe5nv0Whp5OZhN/Pj8T/G1ShFycQ38+KLEBAA11/fdZuPsz7mdN1pkkOTW6czv5DJpNKc7Z3RAdrMbHdaZrYT4nKyebMaJtHdNMYVDRV8nPUxAAtHLOzwvI+PCrjk9lzHs9WIASPYf3o/maczL/nAU22turBasUINJywuViezx46db5OUBD/7Gew7WsJewweccfscy8PbaNBsfNB2ihQNQjxDiPOPI8Yvhli/WGL9Y4nxiyHOP47EoEQ8XeyPsFxzDezeDb6+EBGhTuIPHlTDkH73O3jtNfX3VSLx93+K119/ksQbdrFk3xI+zv6YY5XHeG3na7y28zVcja5MiJzAjNgZzIidweToyRddU+Vi2WzqhHbXLvjkE/Uenn1WDRVftQr+9S/w94fb725k/h3HaPA4St7ZPI5WqGVBZQH15nqarc14ungS6BFIlG8UQ4OHMjRkKMNChjEsZBjuJneHvg/hGLquzo+ee07tiy+8oIKtnfnn/n/y/zaoqMc789+xu6bZzJlq2N7Kle0DT7W18OqrsHo1eHjAyy+rLJ6JUWqeox1FO+x+H2armbV5a9lSuAWACZETmJswt8/+L61W9XXhDMoWizq+jRypbmK29cUXKnMzK+tcEXBjMxOn1/LnX9YRMqyWDcdOU1BVQE5pDtuKtpFRnEGTVQXaDZqB6xKu467RdzEvcV67YXIuLvCb36i/w+uvq+F5c+aoQPQvfgHPPw8bN8KoUWE8NvkxHpv8GAdOH+Cdve+0BqF+svonPLH2CW4edjP3jrmXaTHTJJPzErVkCTzwALi5waefwvTpHdtYbVbu+PwODp45SGJQIn+8+o8X9RpPPw3vvQd3362yqg4eVAHr2Fh46imVmdfC182XydGT2VK4hfXH1vP9od//dm+wH6msVAH3igo1NHb1anVTbcgQVXsyNEznq7Ry6kyFGAMLsXoX8sSaQkxBheh+hVi9CsH7FFTqsM9x/dRaZh3oj5KSkvTDhw9/q208t+m51g+3FhMiJ7D8luVE+dpRWEeINvbvh9Gj4de/hl91cYPOarMy4q8jOFR2iHfmv8M9Kfd0ub3f/U4ddEtL1Z33nuw6uYvxfxtPQmACuQ9fxNXjRZIij0L0ja72vZ/8RA2FKCtTJxmdeXHrizz59ZPMiZ/Dmv9Z02mbGTPURcyWLfb15+X0l3li7RPcP/Z+3rz+TTvfhXPYbOp38uabKoto82Y1xAfU7ygkBMaNU3dRx4+HISPr2XhqBUv3L2Vt3lpsupq1ycXgwpSYKVwRdQXjIsaREJRAnH+cwwM5LVavhkceUV8TJ6rPg9/9TmXXrlihhiDYdCsZJzNYmbuS1UdWs+/UPvTzc7hgMphIDh7LVYNnMD12OmMjxhLqFUpxscZTT6ng2/Tpqj7HwIHqxP4Pf1BDN8eNgyuvqWHAoFOU1JawZuspVvz3FKWNJUQklOLhYcNqMZCXp1F2xoDRBAEBOm7uOsVFgNGMwaeUkLhTVNtO0WAqAe2bnXsaNSOJQYmtQxVb/hZx/nEEeQR9qwvUykq19O8m0cLez77Tp9U+VFamhq1OuaDciK5DfmEjLr4VYLBgMpgwGUx4mDzwdvW+ZC+06+tVRuDkySp7zV7Fxaro8Oefw/z5KujRWfZCo6WR5zY9x283/xaAP875I49PtqNgUxtz56p6d8ePnx9ud9ttqibRxInnA82ffgrjJzUT8IcA6s31nHz8JOE+4d1uO/N0Jos+XcTBMwfbrQ/1CuXJKU/y0ISHHHLjurZWXVSeOqWC1L6+6n/o00/VcaG0FCKjrQRFn2H290uo00r452enqGwuxXtAGW6Bpbj4laF5lVHVWEm9uQGjez0G1wYsWkO7Y0VXpkRP4eZhN3PL8Ft6/D11ZvduFWg0GlVR+XHj1E3a6Gh1fG60NPL5oc/5+56/s/7Y+tafi/SJZH7SfOKa4nhk/iOXTD2okhL1d+jq8/a7zGKBn/8c/vhHmDVLTagUFtaxndlq5ocrfsh7me/h6+bLlru3MDK0myKUXfjPf1RWVVWVepyYqI4p/v4qkNk2+PTC1hd46uunuGX4Lfzrpn99w3d46dF19ZlfUqKy06uq1LH400/VTakTRTbwK4CAfEzBhSSOUwGlM42F1LucoMG1EFwaun0Ng2YgyCUSa0UMFcejodEfAyZsK1/frev6uN54H5d14Gln8U4m/n0iBs3AY0Nfoak8nC/qf8qJmkKifKP4z6L/kOA/nJwcVbSwswt/XVd3VyoaKliybwkbCzZyvPI4zdZmgjyCSAlLYVzEOOYmzGWA10V8Sot+R9chNVWd8OTlqQ/Uzizdt5S7vriLgf4DOfTQoW5PUvbtU0Punn9eRfZ7YrFZ8H/enzpzHSVPlBDm3cknQS9wZuBJ19UHTF6e+t5ohGHD1Ljv7jRaGmm0NNJkacbd5Ia3qzdGg9EpfRbCUTrb9+rqVJbMvHnnZ9S8UIO5gcTXEymqLmLlwpVcl3hdp+0efljdxayq6n7IXouNxzeSujSVcRHjyPhRht3vQ9d11uWvY2/JXnzdfJkdP5vBgYPt/vme2Gxw//3w979DcrI6dlx5pcpomjRJHVdBHTM3Ht/I+wfeZ3n2cmqa1exyLgYXrk+8nttG3sac+Dmd1uHrS7W16uL/4EE1nO0HP4Avv1TrGhthSMpZXOK3sL9qI9uKNlFs2wMGa7ttuFmDaTo1CENtJMHegZSWuAIageFVlNdV4hFQicX9FGa3U+Ba12t9N2pGPJriqC+Kx1A5mFi/eJpLBuPWEMfRbG9iIl2Jia/j6MkKTjUch5AcCM4hICmLapdcrLq10+26Gl0J8gjCXQ/Ex9TyFYCHyYfoUE8qSz1J3+RJ7VlPUqd4cv017uhYaTRb+Oo/FlastGC2WkhIsvL9m6wEh1ix2qw0NlvJ2GWjoclKxdky/Px9CQs1MCDYxLatJrIyXXB1MTFiqIn6WhMebiYy9tVjMVaDWxW4VRM5uJKwgRVYXMopqaygtLYc3aW+8/dhcMXfNZhwvxAifCKI8o1q/Yr0iWz93tfNt0OAquWctEVzM2RmqgsVPztGnVhtVnR0srM1tmzWcHPVSE2F+HiN1atVgPv4cZVd88YbOgtur6eqqYqy+jJO1ZymqPIMh06cxuRbjtnajMVmwYQn77zuT02ZHwtvDODOm4MI8QomyCMIXzdfyhvKKaouYsOxDfx9798prCpEQ+PF2S/yxBVP2PdP1cbnn8ONN6qixDfcoGZimzVLDRt79lk4fBiuvlpl4zz5JOwfcR1r8lfzVNIS7ki+k2HDOt/ujqIdzH5vNjXNNQz0H8iikYsA+DL3y9Ys8/iAeF6Y/QJD9Bt56y2Ns2dVqYRp01RG6aZNKvPHwwNuuQVmpFqp8NzBf3I2syHrIAdP5lJjqcRmqsVkMOHl4o2t0YvqMm9o9gKzF5rVA5NbE65eDdQ1NeARVIrBr4R67TS6Zrvo3xeo4523q3frV5BnELF+scQHxDMxaiKToib1ykyaGRnq99E2yxRUIGHePPU38vODtP35vLj+H+yzLeVkXVFrO3eTO0N8xxLYMIGxMUOZOSqB6KBgAtwDOF0QQFmpkYREte+abWaaLE00WZtosjTRaGlsnWWv5X36u/t3eg7esh8VF6uAtJeX+r8HdeH/97+r/yuDQWWTTZ7WyIO/yqHGPYsdxw9y4GQutVoxZ+pLaLA00GxtxtXoip+bH8GewQwMGMhA/3Nf576P9ovGxeBq1yzWfcVqVUNZf/c7KCpS5wt//OP5eohtFVUXsejTRWwq2ISXixerblvFjLgZ3/i1T51Sw0BHjFBfBw6ozDqDQRXDbwlqFlaeIO7PsbiZ3Dj909M9fnYfKT/Cmrw1nKw5SYB7AOMixjE1ZuolMWlHRoYalmw0qkymgoI2TxosELOVuCvXUjvgv1S7H6CZ7j+n/d39ifGLUV++Ma3fR/tFE+MXQ4RPBCaDitafOKFu3NXWwksvaRJ4gm8XeNJ1nVn/nMWG4xsYVvEUOa89j66Di185bnd+j9rArRjN/mgfrcCSNw1XV7jqKnXimpCgPtgyMuBwWS4R3/8TZ8KX0mDt/CQCVBRx1sBZLBixgBuH3EiARxdRCdFvvfwyPPGEOgB2NatDVWMVQ/8ylJLaEpbesJQ7Rt3R43avuUbd6Tp+3L7aGHPem8O6/HV8fNPH3Dz85ot7E3ZyZODJZoNXXlFp8e7u4OFpZf+RMnXh41IPBjMYLEREm7n+e2ZmXHuak3WFZBUVsCevkOOVhVRrheBR0WHbbpoXgV6++Lr54u/u3+VXgHsA/u7+BHsGMzRk6EUNmRHCkTrb9955R52cbN4MU6d2/nO/3/x7/u+//0dyaDJ779+LQes8qvTuu3DPPerirKXYeHeqm6rxe94PV6MrNb+osetuf1F1Ebf8+xbSi9Jb12lo/E/y//Cna/5k9wVOfb06+W9sVH0dOVJdLBQVqZmXVq6E//s/NbRH0+Bsw9nzQ7sq8thRvIONBRupbmodw8b4iPHcMeoOFoxYQLCnHWmmfaisDD7+WF0I7N+vMkiys9Vd4OLi9m1Tr64hfMJW1h/dyBn3rRCaCe5Vdr+WC+5QG46hLpzB4WFMHR1GlF84noSgW02AjpePDbChoa6cNE1DQ8NoMBLiGUKodyihXqFE+ETgYnTBbFYXMu7nRijZbGqI3rvvqiECMTFqmM7cufDSS+ozAVMjQUOyKTdl4puQSb1bPhbv4xBwDNyqu+j9pcmIC3p9IDazK34BFjSjhZrGeqxG+4J8Xi5eRPpE4WmJwssayemjURRlRxHm789dt5uoqjTyzj+guqEWza2GpORafIJqaNKqKK+tpNZaidVUie5WieZZicVUSaOttvMXsxnBZkLDiLurEXOzAYtWB8berf8BarbMN6594xtfpFosMHjwuQBGmqozZDCoC1WPc2XPamvV+drbbwMTX4W5j8CBhbD8A6ZOVUN7IiPVkLSlS8HmW8DGIWOos1VwZejNfH7XuxzY48Xnn0N1jc7W0lUUJv6MajdV6M1UPA3j+hfxPDuRs2fV8ScsTAUtIhNP0xS1lrKA1RC/Fjw7nqt8U8GewQS5RuCrhTM0OoxQ7wEEewYT4hmCv1swgW4hhPr542HywMPFA08XT9xN7q0Xm85SUqJqzdTWqhpB27er4bju7irLsiXI4+unEzluNwz5gmLvT6j2ONTtdi+WhkaETwRx/nEEm+Iw1cViqo1l7cexGGtjKS8MRW/0Uf//Bgu41YBvESEJBSTPPsApWyYnrZmcNeR2COx/k74Y6iLxbI5jwtAIEqOCCPIIwt/dn9pqV8pOu5AQ74KftwkXowsuBhdcjC64Gl3bfe/p4omXixderl6ty974+5aVqRqSaWkqO/ZnP+u8pEhtcy1vZLzBc5ueo6a5hjDvML5Y8IXddZ0uRm5u+9qI3t4qqzngsZkcbkrjb/P+xr1j7u30Z/Mq8nh87eOsONyxzHS4dziPTHyE+8fd75RaY0eOqADe7t3qPaSkqOGLr7yi9oekJPW5PmcOhCUWs+TgW6RV/oNyc/sP+nDvcAYHDlbD/tsEllqCS9/0BpqmSeAJ+GaBp4oKdVcwq3InL1ZOhAZ/vN/J5/47A7j+epXSvmNPAzuiFtE08DOMuhs/DP0rbofuYv3XGtnZADo+yRtwv/JlSv1XtW57jO/V/GjC7UwYNFTN9FNdzJ6SPWws2Mi6/HWtBbpcDC5cm3AtC0csZF7SPLmo7efMZpU2/MYbKoX8s8+6zhS4/8v7eXvP20yOmsyWe7Z0efHX1pYt6m5Zd8P32moZPvrQ+Id47drXLvLd2OdiAk9ms7orn5mpan1MmaJO6tLS1OPbb1cZTAaDuqNx333w5fYsYuYv5azPFuq892MzdR3U7ZLVBaPNE1ejCxaaMBtqLn4bqJOBhKAERoWOYlLUJKbFTCMlPMXpJ2pCQPt9r6EBfv97NSRq2DAVoO7sbmlOaQ7j/zaeOnMdX9/+NbMGzepy+y1Zlh991HFSg9xcFeQyGNTFXVOTOjb9X0kiR88eYc99e0gJT+m2/ydrTjLt3Wnkn80n1CuUBSMWcKr2FJ/mfIrZZibKN4pl31/G9NhOikWcY7Go4+3ixapmU4u771YnauMnNVNozeCaH+4gIOkA2WXZHK04SkVD5xd4iUGJLByxkEUjF5EQlNBt/y9FFosKFLZkamiaOpFtCT7FxMCgQefb5+bC83/QmXNTEdHDCymuKaa6qZomSxM6Or5ufvi7++Hn5keodyjh3uGdZtc4W1kZfPCBqnf1y1/CnXeqYFVWlvp8XJdWT2jcWe75SQXuARXUWCqoNldQ11zH/ux63H3qSR5bT4O1jr0H68k63IiXhwlXk4khCSYGxZkwGow0NZhYvcrAqZNG0I14uBuZd52RwfEGigpPEBcbz5GjOjV1ZqJiLPj4WTBbzZhtFqw2C2abBU8XD/zc/PB188XP3Q83/Fj/ZRCb1gQye0oQv3oykKgQb86e1ViwQA2ZAPWZeOe9DZTVl/HWe2cITShm5JQith0spt5YBL5F4Fuslr2YhdZK10DX0Ay6XcOvMHtAoz9aYyCh3qF42AYQExjK0cxgigvc8PQ0UG+uY/jYKibNqOJs41nK6ssory+nvKGcqsYqgjyDCPUKZWz4WG4ceiNz4ufYdW7UneXL4aabVCboqVMq0+jC4Y6gztc2ZR/mT5Yh+JqCeMbzNL951ojZrLK6zp6FqNhmzlw/leaQDDgyFz78AjcXF5qaVBtvbxXoKiw2cyrib5D6DHiVAZAYmESkNo66cn9KqspoCMigzJbfrg/ezfH/v707j5OqOvM//n16b3qD3ptm35pVBAFFRUHFXVE0rjFookaN0Tg/jY4xasZxxmUmJmqcaDSKS0Lc0cQoiqBxQVlkkX2XBnoBeofeqs7vj1MNLTvY1SXN5/169aurbl3uPdXUqXvvc5/zHA1MPFXH9TxS5xzTXzkpmUqKTVLABVRVV62tDTWqrq9WTUONauprtK1xm+Kj45UYm6jEmERltMtQXnKecpJzDun6tLNn+4zdDRt8sPDoo6U//cn3+6VLpdLSRuV2r9SA02ao53FfaV7hMi0uXqlN1WWydmVy8WVyFpCC0XLBaAUaYqTGBKkxXlHBBAUb4hXl4hS0ekUnVisuuUq1tmW/ssRMUXLa83pRFqXkuj6y0gEa2nmAjszvp6KlXfTxO3lKjE7SiqWxUnS9RnTBYgAAIABJREFUuvWtVEz7Iq3aslrB1NXK7LNagZTVKguu8X066uAy1vYlLipe7WKTlBKfpFglqXJTkqICycrukKDM9vHqkJqg5IR4xUfHKyEmQfEx/ndCTIKSYpO0fGGy/vp8sqq3JOuWnyXrwnOSlRyfpOS4ZMVFx6mwslDLNi/T1FVT9eriV7ffzBlXME5PnfNUWEf8NDT4m0xTpviJC9askT6telEaf4XSrYfuzViiaIvViBF+eKfk6+xe/dbVqqqvUlJsks7re54KMgpUUlOiKaumaNlmX6okJS5F1w+7XreMvCVsI0jmzvVJLdu2+fOpqiq/rLbWf4c98YQvC7Bl2xY98MkDevSLR7fXW+uV3kvn9jlXY3uO1fCOw5XRbh9DQQ4SgaeQAwk81dX5k/MHHvD/uTr9ZumYR9V1wy2a89+/VfpON1gDwYBu+udNemLWE5KkAVkDdFL3k1RUWqdPNkzVxrqVknza51mdrtDU+3+h8uX+rK9dO3/il5fniyeed55UVrtFry9+XZO+nqRpa6Ztrx2RFJukcwvO1Wk9T9PJPU6mrtQhJhCQxo/3dTZuu81fBEbvYTTXXxf8VZe9fplio2I156dzdpnKfG8uvtjv4733fEbDQw/5lNO0NF+T5ZprdhSW/HjtxzrxuRPVP6u/Ft6wsAXe5a72N/D08ss+e6Km2flxu3Y+U6FTJ39C2Njo30fv3tKCmvdVf9zdcp1mfGs76YnpSo1PVWJMor+7E7rbU1EWo9WLMqWyrjp2YBedN7qLju7bVV3bd1FWu6xvXSgFgkE9+1K1XnqlSjPmVqjWVUgJ5dt/kjLLNWh4udI7lmtTlb8bHExer+VbluwytCM5LlmjuozS2X3O1jl9zlHntM4H/DdsbPTZGPPm+TsaZ57p/5+bX9vV1Nfo65KvVVRdpPLacjk5dUjooOykbPXP6s+MHW1Aba2/o/72274eyV137Tg52p2mvldU5IePLFokXX65v1uWk7Pr+huqNuikiSdp6ealumzQZXpp/Et7bU99vR8S8otf+GNmkxkz/HeNczuGvMbE+L4de8mlaug7SXcOekr3j79G1dU+cyUQ8ENaOoUOa4FgQCc/f7I+WvuRjso7SlOumLI9u2lV2Spd/vrlmlE4Q1EWpbtG3aVfn/hrmYvRyy/74/bw4f474447fJDt1FOlW2/1J2V/mlilJz6crLihk1TfcZoUt2uwul1sO/Xs0FM903uqV4deGpg9UGO6j1GXtC77/H/C4SUQ8AG6+Hg/lLHpZlI4sn2DQX/BvX69r9fTlNk8bZo/r5gzx3/2H3lEGjDAP//yS6d5yypUH79eg0cVylLXqyGxUBtrCrWlplKr1zaqviGg7j2cUhOSlRKXopT4FKXEpSgtIW2XLN+k6PZaOq+9Pp2Woh9eburXr1n7XFCBYEAB54ceNgYbFXRBJcUl6ZOP4rRihR/iOWin0i0ffOCDw2ec4d/HzsWvw8k5X/R4yRJ/DjJhwt7Wder9WG+tLFupdy57Rz3dGfrf//X/L+PGSe9F3aTHZz6m3ISueqjnHDVUpmvuXP89PX78jsLdwaC/oVZSWaEvYv9bLyx8Wpu3bd5lf+1i2+n4LsfrzF5n6szeZx6Swe5IONC+9+mn/jiUk+OHKHXt6rNhMzL88ezjj6X6QIPy+65XYsc1GjpmjVI6r9XmxrUqd2u1pmKNNm/drMq6Sjk5RVmUzzJMzVeXtC7qn9nf15rLHax+mf32Oovop5/6ft00xHvbNn/cf/xx/7k591zp1NMb1HnAei0tWa1X/1mkL7/erOLKLYpOKlfvgga1z2zQ6rUNWr+xQZXVjVJ0vVI7NCg5tUFllQ3aVlev6Lh6BaK2KiqhRnHJ1apXjYLRNQddU+9gHdf5OP36hF/rtF6ntep+Jd/3//xco65fMFANaUuld38rzbhFktSt9zZVHP1vKuvl61GmF1+guPf/oJ9enqNRo/yEBMnJTlNWTtFDnz2kD1d/KEmKj47XVUdepR8P+bGO6njUdw6MN7Xz3Xd9/bmUFF+rqnt3/1pDgw+45uVJWxu26rEvHtMDnz6g8lpfiPCCfhfoxhE36sSuJ7bKDSECTyH7E3iqr/fD4n79a38ScdFF0v+7rVFnfZivTdtK9OXVMzU8f/d/S+ecnp/3vH75wS9VUlPyrdfykvN0/bDrdd2w65SVlKXq6h3TMRcX+3WmTPGpvWed5VN6q6r8BXdybpGWRL+sV5f+RV+s//ZMGgUZBTqp+0ka3W20Tux6onKSd3Ml0coCAemll/yXZFmZ//LOz/d1MyZM8HcilizxFyEDj9moJVUzNWvDLK0uX62NVRtVWVcpM1NcdJxyk3PVMbmjBmQP0JDcIRqYPTCiUz5/V7ff7oNAv/+9dNNNe15v2uppOvMvZ6q2sVZPnPmErh9+/QHtZ/16P7V3SYn/gqqq8n//ykof3e/f3x9g+/WT6gP1yno4S5V1lVr+8+X7VTdla8NWLdm0RA2BBvXP6q+U+JS9rr8/JwAvvihdeaX/Ir/pJmnwYGnVKj+z0aBBvk+UlPgsw39+NVcfRt2uLelTJPmZKS4beJnG9xuvIXlD9jrkpelCeH/q0TQpL/d9s3dv/7lOTvZBvb//3W+rSVqa9PxLdeo8dJG+KvpKn37zqT7+5mOt2LLiW9sbnDNY4/uN14X9L1T/LB+ArqryfaIptd85f7Lz2ms+EL54sTR1qr+zV1jovzcGD2nUEWd9qrSj39QHa9/V0k1L93rXuXNqZw3KGaRB2YN0RM4RGpQ9SAWZBYf0Xc/WVFnpazfsKVj8Xa1d6wM4773ngySPPeYLqTbZuFE6e3yV5izZrO7dpcqKKFVXmX7yE9MVPzR17RKl6vpqFdcUq7i6WMU1xfpi4ReKS0vWa28EVVURrUvOydKpw3uoZ3pPdU3rquykbMVGx6qyrlJvLnlTd069U+ur1mtg9kDN+MkMJcXtuxJqU9HXpiyMigr/3ZKY6IfzZWT4/hYV5S8u/+Pdx/VZ+59L8y9Xl1kvqqjIH3sl/29uu83XSPz9zP/Ryp63KS0qVw/3nKezx2QrL1Sjtq5OKtzYoEe+ukdPzH9ATk459SOV+uFzWj7j22P+8vKk3/1OOvu8bXpnxT806etJ+sfyf6i2sXb7Ov2z+mtUl1EanDNYA7IHqE9GH+Uk5UQ8aweHtkhMrNGUWcNHN3yahiKf0+ccvXXpjqE3ryx8RRe9epFio2L1yY8/OaDhQg2BBs3eOFuLShepur5a7RPa64icIzQweyAZ0wehpfvezkN998Q5p4ALfG/+z5oC1cnJvpaZmb+BNXOmP5988kkfyGoquL1ypdPMubX66usafT67Wr361ejCy2qUkFKjr76uVfGmOs38qlbzFtYpaHXKya/T8lW1ctF1UkytFFujvoOrdcRR1doaqFZ1/bd/tjVsU35qvnp26KnhHYdrXN9x28+DI+mNxW9o/MvjFWVRunP4g1qzOFOTSx9UVcISRbk4dV38iDoVXa/EBNMUf+mhjh393zQnx58bzlg3U/NS/1vLot7Yvt285I4a2elY9c3so44pHRUf4zPF4qLjFB0VrWiLVkxUjNontFdWUpY6p3ZWUlySnPPX0o8/7s+PqqqkFSv89dBbb/kbHM01BBo0cd5E3TP9Hm2o2iBJOrn7yXrwlAd1VMejWumv6BF4CklNPdKdeeae5/wLBn1Eu7jYX2A+9pi/+zp11VSd8sIp6p3eW0tvXLrPE9H6QL0+WPWBlm5aqpioGB2Ze6SO7XzsPgsVNzT4mgS/+Y3/gDUXHe3vVt96/yotbHxLU1dP1UdrPtpe2LRJv8x+Gt1ttMZ0G6OTup8UtjS6nc2d66et/Ne//AXzkiV+jGmvXj6AV1oqlTeUKCp/toI5c6SOs6T8mT4F/ABEW7QG5QzS8Z2P1/FdjteorqPUMaVjmN5Vy3rwQX/n/brr/N9qT15Z+IomvDlB2xq36bqjrtMTZz1xUBc/VVU+g+izz6Rjj/V38cx84ObHP/ZBzRtu8AV1fzXnMv3167/q4bEP69Zjb93zNuuqdPe0u/XMV89s/+zFRMXovL7n6a5Rd2lw7uDd/rt9nQDcf7/P3Bg92n+hpuwhjrWmfI3umX6PXpj3gpyc0uLTdOeoO3XjiBsjMgS1sNAH8jIyfCbHNdf4jKTrr/fTQDfdid5YtVHvrnhXby97W1NWTlFNw46UrtyYvtLCC1U07QJFlQ7WqWNNZ57phyjNm+fvoDcFO375S+n6m2r07oop+u0/JuvL8r+rMa7ZHdJgjJK29ldUVRfFBzsoI0OqbixXSW2hGtsvloup1c6iLVY5cd3VPjpP/bvkKi81e/td7bT4NKWFhtA03fVuevx9maK8rMx/b6em+sKRzvn/k7y8XU8QG4ONKq0pVXltuWKjY5UQk6CcpJx9FoV8/32fKTN/vj/JePXVAwtcSr5dM2f6YOKCBb7vNd3NXLFC+uc/fYbC5s0+6/X116Vu/cr1s0ff1OyST/X5N7O0qGi5XGzLD5dJik361mfyuM7H6c1L3tzvmkU//akfard5sw+ePvmk/5777DOf2bCzhSULNfD/BirF8nTm4vXq2sU0bpwP3N5zjw+2KmWDom4qUDC2WnrxHWnFGYqJ8XVPnPNB6KYZ59RtmjT+Cn88CUbr2NSLddHg81W5trtcdK3S+szVtG/e19TVU1Vdv6Mmzaguo3TpwEt1fr/zw5YWj8MbM7q2TSU1Jer0204KuIDm/nSuBuUM0vzi+Tr+z8erqr5Kj53xmG4ccWOkm3lYo++1nmDQH5P/8Q8/GceAAZFu0cG5e9rduu/j+761rE9GH026YNK3ygIsXOgL3t9/v0+mKC/35yVpaf5aoLH9YuWe+weV505WbVzhzrvZp/ykrqr9ZqA2zx+ubrEj1Cd5uBJdpk491SdwNJ8ZsbSmVC/Of1GPzHhE6yrXSZKG5A7Rg6c8qLE9xx7cH+I7IvAUEhc31PXoMWev6/Tp4y8aTzttx4XF7e/froc+e0i3HXubHhr7UNjbWVXls586dvQf4qZCen/8o7+T9eyzfohNQ6BBMzfM1PQ10zV9zXR9uu5TbW3YMVzAZBqeP1yn9jhVp/Y8VcPzhyshJkFFRX5MdGqq396AAf5O+1tv+S+Mfv38h9rMX2i9+ppTUXmZlm0oUm6vjcrpWaycLtVyUds0Zdo2LVi8TWVVtYqOr1Ne51rVBWrVu2+dsjvWalvjNhXXFGtdxbrdphDHBVMVt3mYapYNV2xlgeo35Uu1acrrKN3w81r1PLJIhZXfaF7xPM0tmqvFmxZvH3bYpFNSd2VuHaWc2uO19Zt+Gtmvm278Sbo6Zscr4AKqqK1QeW25ymvLVVZbtv2xyRQfE6/0xHT16NBDPTr0CNvF9IwZ/gLskkv8nYfdZUysKV+jX0/7tV6c76eZumboNfrj2X9skRTNna1b5zMrJk/2d3DijnxF9eddpGPyj9XnV3+623+zcstKnfbiaVpZ5oeN9s/qr4baWK2s+lpBBWQy/XjIj3XfmPt2mTp3TycAzvlZY+6919dueuaZXWe7CAQD+nL9l3rsy8f08sKXFXABxUbF6sYRN+pXo37VasHV/VFT44fDPfaYDxSfcIKvT7Vunc9gmTRJsthaTV01VS9+9ZpemT9ZgbgddWTaB3tq6+wLVL/wDPXL66afXpGp08aVqSxQqE/Xfarpa6Zr6uqp38rU6BjfW1pynvraucoNDNfyJfHKyPCBxdmz/WftrLOkjUUBTZ+/QspZIOUsULtuC7Q1Zb7UYdVBpVXHRcepQ0IHdW3fVT079FKv9F7qne5/90rvpcx2mbsNmO4r42zpUh84ys/330XN+8qWLT5488knvnZLTIz0zTf+7p3kP0OlpdK7UxoUk71CY3+4QP3HzNeyivlaULJAa8vX7pIRZi5ambFd1DWpQJ0T+2lAdn+dPLif+mX3Ulp8B93/H3H6z/sD6lGwTcNGbtXLkyt0zc1bdP6lW7Rl204/tVtUtq1Mucm5GpQ9SMd0OkZH5Q3XyhVRuuEGX9ha8u8pN9d/py9f7oMtVVVSerr09jv12tT+XT303gv6tPRtKabuW+2Nj0pUTkqWTKagCyrogmoMONXUONXVOzVsTVRiMEfHDc5RSlSOPngzXVVFHXXxRdE69vhGFVUXaVXZKq0qW6VvKr5R6dZSBV1QMVExGpE/QlcPuVpXDL7igO7WvvqqLyL68ce+5sDIkb4I7Pz5u8+6cM4p939zVVJTosU/W6y+mX13+QzcNO1HmlL8gsYVnKffjnhDZWU+GFdU5NfJzPQ3iJpmCTp6zGbd9/ntenbus7scI5ob3nG4Lhl4iS4acBFD1RF2XPy2Xdf//Xr9cfYfVZBRoJuPvll3T79bm7Zu0sUDLtZfL/gr2ZIRRt/DgXLO6fXFr+uF+S9Ikk7teaquHnr1PkcFVFb689DsbH8O+uyz/nx/W63T4LHzVd3ua62vXaZVxaWqrKlTYnK9CgbUq74hoKACysxqlEsoU3FNsdaWr1VDsGGXffTo0EPDOw5Xfkq+EmISVFlXqS/Wf6FZG2ZtP6/tm9lXd59wty4eeHFYrh33F4GnkIOd1e6op47SnI1zNOWHUyIWPZT8CfeFF/qxv+PG+eJia9b4D3uPHlJmTr1W1c7SXz6fplVuqtTlE7moHR/emKgYZbkBKlnUT4HNXaTqPKkuRV3zE7V2fZ0UXetnAUsuVmxmoZJyC1XhCuWSN+xy8XMwUuJSNCRviIbmDtXQvKEanj9cfTL6KMqiVFe34yLyvfd8auHChf59nXCCH3a1eLH09MStCubOlLr+S4l9/6XazM/k4vYwq8oBirZoDcgeoJzAMK39bJi6xw/Xj88apPHj4hUTugYrKfFZRCUlPkCZl+cDI+9+vElvTytWTVSR+gysUp+CgJyCcs5pfWGUHns0SlVVUfrDY9FKahelKItStEWrsq5SX5d8rRnrZ2ja6mkKuIASYhL04CkP6ucjfh72E5fCQp/KuXB5lV7IyZXitmrYzHka0/8Ixcb6wMXNN0tdjlqosS+M1cbqjRqcM1hPn/Nn/fGeoXrmGUkp62WjHpKNeEJBNSopNkl3HH+H/m3kv23PQmp+AtDQ4IfbbNzo9PzrRfro62UadeZGXXplhaobKlVRV6HKOv97y7Yt+mzdZ9uL/MZExejSgZfq3tH3qkeHHnt4V5H33HO+cLHkP78DBvggwxln+GBfMOhnvfxydoNue3y6SrJe05tL3thliO6eHJ1/tMYVjNN5fc9T38y+e/ycBAJ+X03BvKIiH7iZOdNnKY4cKR07ulqFVd9ofUWRPplbpCXrirV8XbmUUKH4tArVqUKKr1BsSoVSssrl4itUVV+hRrfrgbG51PjU7UGonh16Krtdrr6Ylqn33shSXVmmTh+VqT/+NlNZHXYMnX3jDR/ACIRKZJ12ms8EMpP+9EyjrrupRsHoaim+SsNGbVZUaokSM0rVa3CJZi0u0fw1hbKsxVLGCgW16+xJJlP7uExt3dxBdQ0BRcVvVbBd0d4Db4GY7zYTU2W+opaOV+LqC/SfPz1OP7ggRps2+SzEraH7BMNHON36yBf6cPMLenXx37YH6U2mzOox2jbvbHWLHa4n7h2o44el7fV74Z13pB/+0AeyzKQOHWr10ksJOuWUPby9YEDV9dVKiU856BOV8nIfCPrlL3cU/3/4YZ8ltieXvnapJn09SX848w+6YfgN33rts3Wf6bg/H6f46Hgt+tmiA+rrq8tW66UFL+mzdZ9pY/VGxUbFqndGb53U7SSd0uMUdW3f9aDeI3AwuPhtu2rqa3T000drYemO2phn9j5Tr1302vcmI/hwRt/D900w6DPo77rLl9tp7owz/DnTU0836G/vr9St/zNXwdyZ+nLDl5q9Yba2NW7b7TbjouM0ptsY/Wz4z3RWn7MiGnBqQuAp5GACT5u2blL2w9mKi45T2e1lEa8vVF/vT+gfftjX0UhM9D9bmk2+k5bmLzwmvV6tmsyPlXPsFG1p/4GqEhYddMG41PhU5SbnKrtdrhIac7WtPEVqSFSPLonq3ilRCTEJSoxN3D7DQdNPfEy8stplqUtaF2UlZe13h2ho8AGev/xF+vJLXzQtPl760Y/8cLX33vNZYe2SG5U/dL7aH/GJvi6f4ae+3rRG5VurFIyqlSlK0Q3t1VjdXqpNU69OHXREn/ZKjWuvtWul9cV1qmgo0bbEVaqKXrXrbBWBWCXXHKERvXuoclOK5s+NVr1VSgllikotVkJmsbZZyX7NcrEvTUGVe068Rz3Te37n7R2o8X+6SW9seEzp6y9X9cQX1dDgo/fFUbMVfdVpCsRt1nEdx+jJMZP18H+maOJEX4tlwgRfu+ofM5Yp+vRfKtB7siQprjFdfXW++qUN18pFDcrvGaWPZpeoOm65GtOWShnL/FSz+6FHhx46v+/5uunomw6Zwr6FhT5zsEMH/7xp+NHVV/shSW+84T/fl17qXw8EA/rkm0/02uLX9OX6L1VYWahNWzdtn8FnaN5Qndj1RJ3c4+SwDi91TvriC5+lN2+erw2Wnu7b2jSuXXJSTK0SM7YoIXe1svut0NKSFcoqWKH4vBXaFFyuWu3fVOXtYtopKylLcYEOWr7SKTGpQRnZDaqqaVBFVYPapdaq3tWo0XYdJrgnJlO39t3UJWGgKpcfoUXTBqnumyOkLb2kYKw6dfI1f8aPl2rqavXhnDVaXLpUq6sXaVHpYn1dtEhlbo0UX7E96NQutp0SYxKVEpemDSvSFdOQobNOSld2SrrSE9PVISFdwa3p6pSZqicnrdO0RfMV1eddBZN3pFm3T2ivsT3GamjeUMXUZ2hdSbXWNszSzNLp28fkS35yiiuOuEKXDbrsoArRr17tZ/eprJROPvlTnX/+bqZnamEnnugDUEOG+O/uNWv898eePDf3OV01+Sqd0PUEfXTlR9uXB4IBHf300Zq9cbbuGnWX7jvpvj1vBPie4+K3bSupKdGjXzyqecXzNK5gnCYMnrDPodtoHfQ9fF81TUbRvbu/rn/yST/6o7raZ3HffbfPhG/SGGzUwpKFmr1xtsq2lWlb4za1i22nfpn9dELXE/arFmdrIvAUcjCBp1cXvaofvPIDndT9JE390dQwtezABYO+0Gx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      "text/plain": [
       "<Figure size 1440x720 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light",
      "tags": []
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "from normalizer import filt  #class of various filteration functions \n",
    "patient= random.choice(hb.all_patients())\n",
    "filt().low_pass_filter_plot(patient=patient,cutoff=20,fs=360)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "Ga4HgNvFTGEe"
   },
   "source": [
    "### Heart Beat Isolation Algorithm \n",
    "##### Isolated a long ECG Singal into Peaks: Function can be adapter with `biosppy.christov_segementer`:: https://biosppy.readthedocs.io/en/stable/biosppy.signals.html\n",
    "\n",
    "`hb.isolate_patient_data(patients,classes,classes_further,min_HR= 40,max_HR= 140,fs=360,verbose=False,plot_figs=True)`: isolation algorithim\n",
    "\n",
    "<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Input: \n",
    "<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;`patients`: LIST of Patient Numbers [Str or Int]\n",
    "<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;`classes`: \n",
    "classes to be examined {dic}\n",
    "<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;`classes_further`: (hb.classes_further) expansion of previous classes with names {dic}\n",
    "<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;`classes_reducer`: (None) optional argument that can be used to link one class to another\n",
    "<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;`min_HR`: (optional) minimum HR to consider (longer HR Sample Rate)\n",
    "<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;`max_HR`: (optional) max HR to consider (longer HR Sample Rate)\n",
    "<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;`fs`: (optional) sampling frequency --> 360 for this database\n",
    "<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;`verbose`: (optional) prints out some information per patient if true [boolean]<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;`plot_figs`: \n",
    "plot_figs:: (optional) prints out HR and Heat Beat distributions \n",
    "\n",
    "<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Output: \n",
    "<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;X, y, isolated Beats  \n",
    "<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;`X`: np arrays of each heart beat signal (normed + zero_padded)\n",
    "<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;`y`: np arrays of [patient, HR, and HeartBeat Class]\n",
    "<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;`Isolated Beat`: list of lists (unpadded) of signal and associated labels"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 0,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "uyLqdXzjTGEe",
    "outputId": "c73de60a-7d45-405b-e378-33640e26ae22"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Examining 48 patients...\n",
      "Percent: [>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>] 100.00% Done...\n",
      "\n",
      "Padding...\n",
      "\n",
      "\n",
      "Average HR Sample Len: 284.39 samples (0.79s per beat)\n",
      "Average HR: 80.61 bpm\n",
      "Plotting...\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x720 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light",
      "tags": []
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Data Loaded | Shape:(107726, 542)\n",
      "\n",
      "    89696 cases of Normal beat\n",
      "\n",
      "    2388 cases of Supraventricular premature beat\n",
      "\n",
      "    6827 cases of Premature ventricular contraction\n",
      "\n",
      "    8028 cases of Unclassifiable beat\n",
      "\n",
      "    787 cases of Fusion of ventricular and normal beat\n",
      "\n",
      "4.64min Runtime\n"
     ]
    }
   ],
   "source": [
    "#isolation algorithim heart beat data \n",
    "X,y,isolated_beat= hb.isolate_patient_data(patients=hb.all_patients(),classes=classes,\n",
    "                    classes_further=hb.classes_further, classes_reducer=classes_reducer, \n",
    "                     min_HR= 40,max_HR= 140,fs=360,verbose=False,plot_figs=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 0,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "yLHqSuSqTGEg",
    "outputId": "3225dede-000d-48ed-ab69-d6c4fd81d759"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "X shape: (107726, 539)\n",
      "y shape: (107726, 3)\n",
      "sample y vals:: [patient#, HR, Condition Class]: ['100' '75.536676138855' 'N']\n"
     ]
    }
   ],
   "source": [
    "print(\"X shape:\", X.shape)\n",
    "print(\"y shape:\", y.shape)\n",
    "print(\"sample y vals:: [patient#, HR, Condition Class]:\",y[0])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "GWfM4Pt6TGEi"
   },
   "source": [
    "### Looking into Isolated Heart Beats \n",
    "\n",
    "Grouping these classes is actually proves to be realistic\n",
    "\n",
    "\n",
    "`hb.show_sample_plots(X,y,classes,classes_further,num_sigs=5,fs=360,plot_xlim=1)`: isolation algorithim\n",
    "\n",
    "<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Input: \n",
    "<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;`X`: np arrays of each heart beat signal (normed + zero_padded)\n",
    "<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;`y`: np arrays of [patient, HR, and HeartBeat Class]\n",
    "<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;`Isolated Beat`: list of lists (unpadded) of signal and associated labelsLIST of Patient Numbers [Str or Int]\n",
    "<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;`classes`: \n",
    "classes to be examined {dic}\n",
    "<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;`classes_further`: (hb.classes_further) expansion of previous classes with names {dic}\n",
    "<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;`num_sigs`: number of signals (per class) to over lay\n",
    "<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;`fs`: (optional) sampling frequency --> 360 for this database\n",
    "<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;`plot_xlim`: number of seconds to show (1s) on x axis \n",
    "\n",
    "<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Output: \n",
    "<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Heart Beat Subplots per Class  \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 0,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "I7Jacw7OTGEi",
    "outputId": "0535e4f2-6e04-4a81-ac52-6564b5a4d7cb"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "MAX HB TIME: 1.4972222222222222\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1800x1080 with 5 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light",
      "tags": []
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "hb.show_sample_plots(X=X,y=y,classes=classes,classes_further=hb.classes_further,plot_xlim=1,dims=[2,3])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "hXYF1e6-TGEk"
   },
   "source": [
    "### Resampling 360 Hz (How many data points do we need with out losing too much information per signal?)\n",
    "\n",
    "##### (360Hz/2 ~ 180-190 Hz) \n",
    "\n",
    "\n",
    "`hb.resample_vals(X,samp_len)`: Resampling Algorithim \n",
    "\n",
    "<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Input: \n",
    "<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;`X`: np arrays of each heart beat signal (normed + zero_padded)\n",
    "<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;`sample_len`: New Length to Resample. reample_len must be < len(X[n]) to down sample \n",
    "\n",
    "<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Output: \n",
    "<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; X resampled  \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 0,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "VR7VFVDmTGEl",
    "outputId": "f0d1703e-3b98-4675-9e4d-3120cb4c7a43"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Resampling...\n",
      "\n",
      "X_resamp shape: (107726, 187)\n",
      "y shape: (107726, 3)\n"
     ]
    }
   ],
   "source": [
    "# Cut Roughly in Half \n",
    "print('Resampling...\\n')\n",
    "X_resamp=hb.resample_vals(X,samp_len=187)\n",
    "print(\"X_resamp shape:\", X_resamp.shape)\n",
    "print(\"y shape:\", y.shape)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "hJYKXNf6TGEo"
   },
   "source": [
    "### How Resampling (looking at about 1/2 second) looks like. \n",
    "##### Singals are all preseved with out the model getting to occupied with to much data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 0,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "iTxAwk2FTGEo",
    "outputId": "26f95e90-62b6-473a-9e05-576112aa4873"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "MAX HB TIME: 0.5194444444444445\n"
     ]
    },
    {
     "data": {
      "image/png": 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9yTy8wHa1n2X0o3ZtbgMO2q0z8jyEV/LkrD1oQ0RE2jFvIrtvW+uEuiPxXiGd42/yHnCSebV+C4Dvd9DMlWZ2iJll49VHfiole7e9PLwH1Aq8B7qfd7DNo3hj50l4ZSya/RGvnvBov68DzewTXTzVbXjlL7pzb3sv3mTLR5lnfMrrxu8BV/gZ5GfR+WvTOXgPZ2V+nz9H64cC3XGUmV3kl0W5Ae8azulk23eBWvMmT8ry+3iYmR29G8dNxxt/y4C4XwbjjJT124ABKaVewLs255g3IdMQv787szv9PcfMTjSv1uVPgHf8V3+fw7vPusrM0vz/jrbWCZ3y8LK/msyrTXpFSptleK9Ad/l+xcxu9ttPN28+kW8A1cCKrrYhItKTnHNb8AK7t5tZvnkTG48zs90t79Hdv5tduW/Y0/4+ipct+0nafsD9R+D71jrpc4F59Z+7YhswwtrWUN6VvwCfM7PT/H4PN7OD/XXvAZf549B0/JJVHdjVONsVnd2vvIMXQP+u349T8EqUPtbFdrvyDN9pHMD/2f4bb66JIr8PzYHtju4fUj0BfNy/tml4AfII0JUPIXbJf8v8Kbz63Oudc/N6ol3ZNxS4Ftkzt+I9tAJeLWi8YPC38R7avwuc65wr73j3bnsBb3D4EC9jrYmuvYLcbCveZFeleDWuvuJa63R9D2/Chjn+a0Av0Vo7+w68mlPleA/S/2nX7p14dUirzOy3AGb2bzP7n650yg+A/Agvo0pERHpOHd4kTe+YWQPe3/DFeOMUzrkX8T6EfR+YT8cftD6El6W9Fa9G4PUdbNPsQbzxaTOwlI6DrzOBU4BX2o2Pd+Jlfc0yszp/32O7cI7QGgCvMLMFXdnBOfckXq3GR/Gu09O0jkPfwHv4ay5F8XQnbSwFbsebTGobcDjwVhf7nOqfePUeq/Beab2os1da/THzPLxaj2vxxuZ78TLcu8WvV3k93gNkFV7A4pmU9cvxfl5rzHs1exje78MivDIws/B+f3Z2jN3p76N49wWVwFF4P4Pm/p6BV/O0FO938pd4QQGArwG3+r8/P/TPq7kfYbyf91v+uRznB17qrfPJGR3eQ2+5f7yPAR/3y5eIiOwrV+MFRJfi/e1+Chi60z06162/m128b9jT/j6DN8nzNufNadHcn3/g/c1/zH9eXYz3BldXvAIsAbaaWZeezZ1z7+JPpoj3lvNrtGYJ34yXBV2F9/bwo520sdNxtov96PB+xTkXxZuo8Wy8cer3wNWu63W4fww84P9sL+lkm13FAa7CexNvOd4klDf4fe7o/iH1nFbg1aD+nd/2ecB5/jntkj9272o+jgfwfl7Ktt7PWetbFyIiIiIirczsVeBh59y9+7ovByoz+zEw3jl35a62FRERERHpT5RxLSIiIiIiIiIiIiJ9igLXIiIiIiIiIiIiItKnqFSIiIiIiIiIiIiIiPQpyrgWERERERERERERkT4ltK870F0lJSVuzJgx+7obIiJygJo/f365c27gvu7H/k7jtYiI9DaN2T1DY7aIiPSmPRmv97vA9ZgxY5g3b96+7oaIiBygzGz9vu7DgUDjtYiI9DaN2T1DY7aIiPSmPRmvVSpERERERERERERERPoUBa5FREREREREREREpE9R4FpERERERERERERE+hQFrkVERERERERERESkT1HgWkRERERERERERET6FAWuRURERERERERERKRPUeBaRERERERERERERPoUBa5FREREREREREREpE9R4FpERERERERERERE+hQFrkVERPo5MzvLzFaY2Sozu7GD9aPM7L9mttDM3jezc/ZFP0VERERERKT/UOBaRESkHzOzIHA3cDZwCHC5mR3SbrMfAE8456YClwG/37u9FBERERERkf5GgWsREZH+7RhglXNujXMuCjwGfKLdNg7I978uAEr3Yv9ERERERESkH1LgWkREpH8bDmxM+X6TvyzVj4ErzWwT8DxwXUcNmdmXzWyemc0rKyvrjb6KiIiIiIhIP6HAtYiISP9mHSxz7b6/HLjfOTcCOAd4yMx2uIdwzv3ZOTfdOTd94MCBvdBVERERERER6S8UuJYDUmVpAxuXV+7rboiI7A82ASNTvh/BjqVAvgA8AeCcmw1kAiV7pXfSK+IVFdS+MGtfd0NERER6USwZ49Flj/Lqxlepjdbu6+6IiHSbAtdyQHpt5gpeeXDZvu6GiMj+YC4wwczGmlk63uSLz7TbZgNwGoCZTcYLXKsWyH6s8v4H2HzDDSQjkX3dFREREeklv5r7K37x7i+47pXrOHHmifzhvT+0rEu6JB9WfbgPeycismsKXMsBp6k+xpZV1UQa4vu6KyIifZ5zLg5cC7wALAOecM4tMbNbzex8f7NvA18ys0XATOCzzrn25URkP9K0bBk4h4tprBQRETkQPbv6WR5d/iifnvxp7jvzPk4deSp/WPQH3i97H4Db593OJ5/5JB+UfbCPeyoi0rnQvu6ASE9bt7gc5yAWSZBIJAkG9fmMiMjOOOeex5t0MXXZD1O+XgqcsLf7Jb2nZskiQkA82kSQnH3dHREREelB7255l1tm38L0wdP59vRvkxZIY3LxZC745wX86O0f8bnDPseDSx8E4MX1L3L4wMP3cY9FRDqmiJ7sd8Jz59Lw7rudrl+7qLzl62hYmWQiIiKp4uXlhKrqAGiKNOzj3oiIiEhPCcfC/OKdX/CFWV9gcPZgbjv5NtICaQDkpudy83E3s6p6FTe9eRPTBk3jmCHH8PKGl9GLdCLSVylwLfsVl0yy+bvfY/O3vo2LxXZYH48m2LCkgswcb3COKHAtIiLSRtPyFS1fR6ON+7AnIiIi0lOSLsnXX/56S3mQJ897kpKstnNpnzzyZC4YfwHDc4dz+ym3c8boM9hQt4FV1av2Ua9FRHZOgWvZrzS9/z7xLVtIlJdT9/IrLcsTiSQAm5ZXEY8mmXDMYECBaxERkfYiy1snL47GFLgWERE5EPxz1T+Zt20ePzr+R9x4zI1kp2V3uN2tM27l2QufpSSrhFNHnQrAyxte3ptdFRHpMgWuZb9S++//YGlphAYPpvqJxwGo3h7mz994jb/fNp8Fs9aTnhnkoCMHAhBp3DErW0REpD9LzbiOR5r2YU9ERESkJ1Q1VXH7/NuZNmgaF024aKfbmllL+ZBB2YM4YuARvLLhlZ3uIyKyryhwLfsNl0xSO2sWOSecQNFll9Lw9myi69ezcWklybijvirCllU1jD68hKw8lQoRERHpSNPyZTjzvo7FFLgWERHZ3/16/q9piDZw83E3E7DuhXlOG3UayyqXsbl+cy/1TkRk9ylwLfuN5jIh+WefRcFFn4RgkKonnmDLqmpyCjO46qfHc+F3pvGRSyaQma3AtYiISHvJpiaia9dRMSgTgFhUgWsREZH92cvrX+bpVU/zmUM/w/ii8d3e/7RRpwHwhRe+wG1zb2NT3aae7qKIyG5T4Fr2G81lQnI/+lHSBg8i76Mfpfrv/6B0ZTXDxhdgAWPY+EKy8tLJyA4BEAmrVIiIiEizyMpVkEiwcXgGoIxrEZH9jZmdZWYrzGyVmd3YwfrfmNl7/n8fmln1vuin7B2b6jZx81s3c9iAw/j6kV/frTZG54/mVyf/ijEFY5i5fCbff+P7PdxLEZHdF9rXHRDpikRdHbUvvEDOCScQzMsDIPvoo9n+xgIaaqIMHV/YZvtgWoBAyJRxLSIikiKyYjkAa4cGmArEo5F92yEREekyMwsCdwMfAzYBc83sGefc0uZtnHPfTNn+OmDqXu+o9Ko5W+bw1IdPMTx3OLNLZwNw28m3kRZM2+02zxxzJmeOOZM7F9zJ/YvvpzHeSFYoq6e6LCKy25RxLX1ebMsW1n/6SuLl5RRddWXL8mBhAdUF3qtQwyYUUtFYwd3v3c37Ze9jZmRkpylwLSIikqJp2XIC2dlsLEwAEItFeGHJVmKJ5D7umYiIdMExwCrn3BrnXBR4DPjETra/HJi5V3ome80d8+/gtY2v8eDSB1lZvZKfnPATRuSN6JG2pw6aStzFWVy+uEfaExHZU8q4lj4ttnUr6y69jGQ4zKg//4mcGTNY8sZmYpEE4wsKqC4cR3qG8VT5o9z36l8Ix8NsrtvMEQOPICMrpMC1iIhIisia1aRPGE89XuZ1aUUN33xlPn/97NGcevCgfdw7ERHZheHAxpTvNwHHdrShmY0GxgKvdLL+y8CXAUaNGtWzvZRes7xyOUsqlnDjMTdy6aRLiSQi5KTl9Fj7UwZOAWDBtgUcPeToHmtXRGR3KXAtfVrdrFnEt29nzJNPknX4YQAsfn0z5RvryTknl5qC8SSytnD3e7/jtFGnsbp6NWWNZQBkZIdU41pERCRFMhzGcnIJxIvYMOIQwo2NADRE9UGviMh+wDpY5jrZ9jLgKedcoqOVzrk/A38GmD59emdtSB/z95V/Jz2QzrkHnUsoECIU6NmQTkFGAeMLx7OwbGGPtisisrtUKkT6tPCChYSGDW0JWgM01EQBeP2/YcLZg9ncOIdLJ13KHafewUEFB1HeWA5ARnYa0UY9iIuIiDRzkSjJtAAljdNYNf5TNNZ7H/CqVIiIyH5hEzAy5fsRQGkn216GyoQcUJriTTy35jlOH306BRkFvXacqYOmsmj7IhLJDj/zEBHZqxS4lj7LOUfjggVkH9k6n0gykaSxLspBUwcSjXoP2QPT6/je0d/zvs4emBK4DtGkUiEiIiItXDRKIhQgQDoAkbC3PBZXsp2IyH5gLjDBzMaaWTpecPqZ9huZ2SSgCJi9l/snvejF9S9SF63jkxM+2avHmTpoKvWxelZVr+rV44iIdIUC19JnxUtLiW/fTta0aS3LwrUxcDDi4CLWHjabvLr1nDfs0JYZlEuySqiOVBNLxFQqREREpB0XjZJICwDeuBlv8pZHlXEtItLnOefiwLXAC8Ay4Ann3BIzu9XMzk/Z9HLgMeecPpU8gDz14VOMzBvJ9CHTe/U4Uwd5iWMLt6tciIjsewpcS58VXuANlNnTWjOuG2oiAGxKruXf2Y8xddmdZIWjLesHZg0EoLyxnIysENFwHN2viYiIeFwkQjxoBPzAdSISBFQqRERkf+Gce945N9E5N8459zN/2Q+dc8+kbPNj59yN+66X0tPe2fIOC7Yv4IqDryBgvRvGGZ47nEFZg1iwfcHuN7LwEbjntJ7rlIj0WwpcS5/VuHAhlp1NxsSJLcvCfuD6b5ufYGjOUDKLS0jUVLesL8kqAaCssYyM7DScg1iTanOJiIiAl3EdC4H5gWsXVeBaRESkL3POcdfCuxiUPYiLJ13c68czM6YOnsrC7Qt3PwmsdIH3n4jIHlLgWvqs8MKFZE05Agu1zpTcPDHj4vBCvjrlq4TyC0jW1LasL8lOCVznePtFNEGjiIgIAMlYjFjQEXRejWsX9wLYsYTeThIREemL3tz8Ju+Vvcc1R1xDRjBjrxzz2KHHsrVhK0srl+5eA0014JKQ1AfjIrJnFLiWPilR30BkxQqyp05rs7yhJoLDMWhAMeeNO49gYQGJmpqW9S2lQsJeqRBAda5FRER8LhIhEnSY8wLWlvAC2NG4HixFRET6mqRLcvd7dzM8dzgXjr9wrx33zDFnkhHM4B8r/7F7DTT6b0UnlUQmIntGgWvpk5reXwTJJFlTp7ZZXllRS2NaHR8f/3FCgRCBgraB6+LMYgzzS4X4gesGDZYiIiIukYBEgmjQEfQD14Gkl7mlUiEiIiJ9SyKZ4Oa3bmZJxRK+fuTXSQum7bVj56fnc/ro03l+zfM0Nc/k3B1N/jN6UklkIrJnFLiWPqn+zbfAjKwjp7RZvnnbNhrSazhl5CkABNsFrkOBEMWZxd7kjNnewK5SISIiIl59a4CIxQn4pUIsmQUocC0iItKXNAetn1n9DF878mucN+68vd6Hi8ZfRF2sjpc2vATApqowjdHW+aNeXbGdj/7qVWo6esO5OXCdaF1XE44R1/2GiHSTAtfS59Q88wyVf/0reWecQTAvr+26qgYSWREmFnkTNgYLCknU1LSZNGJg9kA/cK1SISIiIs1cxJvguCleR8h5Y2TANQeuVeNaRESkvWTS8cUH5vL0ws179bip12F8AAAgAElEQVSPr3icZ9c8y3VTr+OrU766V4/dbPqQ6QzPHc7TK5/GOccFd7/Flx6ch3OOaDzJj59ZwpryBuZvqNxh31iDt+zht1fx1PxNfOa+dznyJ7P4/aur9/ZpiMh+ToFr6VNqZ82i9Mbvk33ssQz7v1+2WdcUb8I1BCkqysPMAC/jmkSCZENDy3YlWSWUNZaR3lLjWhnXIiIiST/jujFRRyjplwohBxxElQElIiKygy21Tby0bDvfeuI9Xliyda8c0znH4yse54iSI/jyEV/eK8fsSMACXDj+Qt7Z+g5zVn7IiVshsriah9/ZwENz1rOuIgzA+5tqdtjXNXrL7nxxOd95chErttYxJD+Tl5dt26vnICL7PwWupU/ZftuvyDh4EiPvvotARtsZk98pfYfMWA6jhgxrWRYsKAAgUd12gsaWyRlNgWsREREAF/XeQGpK1hFK+qVCLEQ6ENPkjCIiIjvYVOkFZ4uy07nu0YW8vbq814+5cPtC1tSs4VMTP9Xrx9qV88adR2F4MO/+aS0T4kFOaUrjxSdX8NuXV/KRCSVMGJS7Q+B6zZZy0vE+LJ91/fE8d92JvPm9U7l4+kg+2FxDTaPeiBaRruvVwLWZnWVmK8xslZnd2Mk2l5jZUjNbYmaP9mZ/pG9zzhHfto2c448nkJOzw/o3PpyNEWDC8DEty4KFfuC6prplWUlWCRVNFWxvaCQRNB55Yy1VDdFe77+IiEhf5qJeqZBwMkzQpRGMNwKQkzTVuBYREenAxipvrLz3M9MZlJ/BnS+t7PVjPvnhk+Sm5XLmmDN7/VidWTFnC/d++3X+c8tqLv7gu8SjcR7ObWLolAEc2xDixAq4Iq+Q49OzeH9j29Kdz76zvOXrokzjsOEFhIIBZowbQNLBu2t3LC0iItKZXgtcm1kQuBs4GzgEuNzMDmm3zQTg+8AJzrlDgRt6qz/S9yUbGnDRKKHiAS3LyhvL+f4b3+f6V65nzur5AOQXZbesb864TqZM0FiSVULCJTj9N89Tl0wQb0qwprx+L52FiIhI39Q8OWODaySYTCezyXtwzHamGtciIiId2FgZxgwOGZbPESMKKK+P9OrxqpuqmbVuFucedC7Zadm73qEXJOJJ5vxzDVm56YybOggmV/G3w26HEscF1xzBwKkDODSZxppXNjN4cT1jKxJsrW0CIBJP8Nr7q1Iba/ly6qhCMkKBvZK1LiIHjlAvtn0MsMo5twbAzB4DPgEsTdnmS8DdzrkqAOfc9l7sj/RxiYoKAIIDiluWzd06l+fWPMfYgrGMDk4GIKewtYRIS6kQP3BdWt3IzNnVEISJwxyDollUVIfZVtu7NxgiIiJ9XXPgOmwJcpNpZDaV05A7nJykalyLiIh0ZGNVmCH5mWSEghRlp1MV7t0yF8+sfoZoMrpPy4SseGcr9VURzr12CqMPG0Dutnru+U85Bw1eTyBgXHLNFADi0QRP/X4RJy2vYvbsUi46axyzlmzDNVZD8yN7svV6ZYSCHD2mmNmrK/bBWYnI/qo3S4UMBzamfL/JX5ZqIjDRzN4yszlmdlZHDZnZl81snpnNKysr66Xuyr4Wr/Ayv0IDWjOuq5qqALj/rPv56sTrAcjObw1cB1IC1845rrhnDqu3eL/W3zhrMIWFmWQ62OZ/AiwiItJfuYj3IW5DWhpGgIyI9+CY41QqREREpCObqhoZUZQFeHWuq8NRksneeUspHAtz/5L7mTZoGpOKJ/XKMTrTUB0hEUuSTDoWvLCegaPyGHWol1B2SPHhuEQWZC9rs08oPcg5XziUqqCj9PmNVG1t4KE56zkoNyW4n2w739Tx4wawfGtdr2eui8iBozcD19bBsvZ/4UPABOAU4HLgXjMr3GEn5/7snJvunJs+cODAHu+o9A2JSj/jurg147o6Uo1h5Kfn01ATAYPs/LSW9amTM66rCLOuIsz/mz4YgIqXf0hubjqZmDKuRUSk30s2lwoJeRMzpseqcS5Jtmpci4iIdGhTZZiRfqnKopx0kg7qmuK72Gv3/GXxXyhrLONb07/VK+13pqE6wkM3z+aBm97mpfuWULO9kaPOGo2ZF9LZVBkhXj+B7fFFJF3b+4X8vAwWj0knkUgy82dzaVpew7kTU+arSrS9VjPGeUlqc9Yo61pEuqY3A9ebgJEp348ASjvY5p/OuZhzbi2wAi+QLf1QZxnX+Rn5hAIhwtURsvPSCQRbf20DGRlYVhaJlXOoefnXfCf0OJfN/SoAZZWryciELAJsV8a1iIj0c82lQhpDmQAEkhFwDeQRIBZXjWsREZFU0XiSLbVNjCj2A9fZXgJVZTja48cqrS/lgSUPcM7Yc5gycEqPt78zS98qJRFLMmBYDivnbadoaA4HHdmaMLh8ax3x+oOpj1exrHLZDvuPG1fI4wPibEtLcmZjOqGtQ1pXJtuWVjl8eAG5GSFe/1Bv0otI1/Rmjeu5wAQzGwtsBi4Drmi3zdN4mdb3m1kJXumQNb3YJ+nDmjOuQ+0yrosyigBoqImSXZC+w37B7DQSS1/hyLy/c2QI3OiPksdGyoNBDqWGjCRsq1PgWkRE+jcX8QPXAW8sNReFZB2FgVy2KuNaRESkjdLqRpyDkSmlQgCqwlHGkrOzXbvtjvl3YBjfPOqbPdruriSTjqVvlTJychHnf2Mq1dvDpGUEsUDrC/QrttbhGidhGP9e828OHXBomzYOH17IzHc38kBajFsmDGbpigTHFmeSHmiCRNvAdSgY4JRJA3li3iaWlNbyyWkjmD6miElD8sgIBffKOYvI/qXXMq6dc3HgWuAFYBnwhHNuiZndambn+5u9AFSY2VLgv8D/c87pnZF+Kl5RSSA/H0tvDU5XRaoozPCqxzTURNpMzAhAMkGQehJWwDnZj/D1Mc9jV/2DkuyBlIeCZMS2EXRQVq3AtYiI9G8u5gWuEwEvY8xcDEvWkesCKhUiIiLSzqaqRgBGpJQKAahq6NmM67JwGf9Z9x+umHwFQ3KG7HqHHrRhSQX1lREOOdGbjqxwUDY5BW2fuZdvrWNs0WDOG3ceDy59kLc3v91m/REjvPKdR48t4mOfGEc8HmRN5HhvZXLHySx/+ckjuPUTh5J0cOtzSzn/rreYcsss3lpV3gtnKCL7u94sFYJz7nnn3ETn3Djn3M/8ZT90zj3jf+2cc99yzh3inDvcOfdYb/ZH+rZEZUWbbGuA6qZqCjObA9fRHQZRlj5NMNhING0YSyuNqeOGAjAwdyhlaelkRDZ77dSoxrWIiPRvzaVCnB+4DhDFkrVkJVHgWkREpJ2NVWEARhY3Z1x742dVeMdg7J54cf2LOBznjzt/1xv3sCVvlJKVn87YI0vaLF+woYpbn13K9romPtxWx6Qhedx07E2MLxrPd9/4LpvrN7dsO3loPl84cSw/v/Bwho4rpCC7nmXhj3ork4kdjpmTEeLq48fw/PUn8sZ3T+UPn55GSW4Gt72wAudUukxE2urVwLVId8TLKwim1LeG1ozrZCJJY127UiHJJLx2G8G8HOrC3qtMR4/xAt8lWQMpT8sgI+xVnok3JQhHe2cSDRERkf1BMuJ9iOusOeM6SiBRS3rcEYsrcC0iIpJqY2WYUMAYWuAHrnsp43rW+lmMLxzPuMJxPdrurtSUNbL+g3ImHz+UYMo8UpuqwnzxgXnc99ZaTr/9NTZUhpk0OI/stGzuOOUOkskkP3jzBy3bB0lyc/qjTEgrw8w4eMiHlMYOoyY+eIdSIanMjJHF2Zx9+FCuOXkc722s5p21lb16ziKy/1HgWvqMeLuMa+ccNZEaijKKaKyPgYPsvHSIR2DlS/DMtVC2jODoKSRqashOD3LosHwACjIKqA0EyKxbDkCWM7bXKutaRET6r+aMa6y5xnWMQKKOQBKSMWU4iYiIpNpY1ciwwiyCfr3nvIwQoYBR1YOTM5aFy1iwbQFnjDmjx9rsik0rqvjb/80jmB7k0I8Ma1neFEvwlYfnE4snue+z05k81Hu+njKykLqXX2ZwWYwrD7mS+dvmUxet83aqWA1v/w4W/x2ASUULgSQrGk/psFRIRy4+agQluen88bXVPXmaInIAUOBa+oxERSXBAa2B68Z4I5FEhMLMQprqvQEvKy8dHrsCHvmkNzBOuZzAmCMINdQzbVQRIf+T4rz0POpdnPSkN1txpoNttapzLSIi/ZeLNj88tpYKCSRqAQhFlXEtIiKSalNVuKVMCHgZwoXZ6T0auG4uE3Lm6DN7rM1d+fDdrTxzx0Iyc9K4+HvTyS9pPccfP7OExZtr+c2lR/LRgwcz80vH8cINJ3FsqI5N117H+qs/w9FuDA7Hwu0LvZ0qvbecqV4PQJ7bzMjsD1nW+FES0a4FrjPTgnx2xhheXVHG0tLaHj1fEdm/KXAtfYKLx0lUVxMqbi0VUh2pBqAoo4hwnXdzkB1dB6teghO/Rc11H/Lw0O8zuyxOeiLGscNaZ3bOT88niSMZqAcg0xnb6pRxLSIi/ZfzS4VgrYHrYNzLlgrFFLgWERFJtbGykRGF2W2WFWWnUdXQczWuX1j3AuMLx3NQ4UE91uauLJi1geLhuXzqxukUpzxDv726nMfmbuSakw/i9EMGAxAIGJOG5FF5z71YRgYuGqXoR38kJx5k/rb53o5Va/1/13n/NlZz5LD51CcHMW9uuzmqduKq48aQkx7kgbfX9cBZisiBQoFr6RMS1dXgXJuM66pIFQCFGYU0+oHrzJVPQHounHgDf527lR88vZgXNnqzPZ82PLNl3/x075WmaJq3LitpbFfGtYiI9GMuGsEFHEHnlQppE7iOq1SIiIhIs8ZogvL6SJuMa/DqXFf2UMb1muo1LNy+cK+WCakpC1OxqZ6DjxtCemaoZXkknuAHTy9mZHEWN5w2sc0+sc2bqXn2WQovvpjhv/kNsVWr+e2fkpz4lftYefIpxDcs8zas8jKuaaph1NBaJma+xoKF2VSWNnSpbwXZaZw0cSBvrirvkXMVkQODAteCc47VC7ez9K1S1i+uINq09ycxjFd4kzCEUiZnrG7yM64zi2is8z7Vzl7zJEy9CjILWLallrElOfz86hkAHJTZmi2Wl54HQFPJEIwkOWYqFSIiIv2aizSRDEIo2ZxxHSOYTHjrEvuyZyIiIn3LpqowACOLd8y4ru6BwPW7W97lqn9fRUFGAZ8Y94k9bq+rVi/wSmkedOTANsvveX0Na8oauPX8w8hKD7ZZV/GXv4AZA77weXJPPIHhv7qN8MThvD8ySXzbNurnLfU2rNnkTcbYVAPZJZyYfx/paUn++/ByXLJrH5AfO7aYzdWNbKwM7/nJisgBIbTrTeRAt/TNUl59ZEXL90PHFXDhd6ZhZnutD4nKCqBt4Do143prXRQzR4arhWOvAWDF1jomD80nvdjLtE7UVLfs2xy4rhswmoxgmOJQLts0OaOIiPRjycYwyYBrCVwHibYErpNJh3Nur479IiIi3bFg2wIqmyo5ffTpvX6sTVXem7sjitpmXBfnpLNgQ3VHu3TZ65te5xuvfIPR+aP53Wm/Y1jusF3v1ENWLyxj4Ki8NnWtm2IJ7vrvKs4+bAinHjwI8LKsq558ktiGjdS99BKFF3yCtCFDAMg/5xxCU/K588WvcNyWfBqWbaVwesD7FLxshfdvTglZgVpmHF3BK28G2bisklGHDuiwT6mOG+dt887ayh0+NBCR/kkZ1/1cRWk9bz6xkhEHF3HVT4/n6I+PYcvqGrat3bsTIjRnXAc7y7iujZIZqMUmnwPFYwlH46yvDDNpSB7BggIAEjU1Lfs2B65rC4eTSQ3FgaQyrkVEpF9zkSaSIQglUkqFJBL+1xDvYjaUiIjIvvCb+b/h1/N/vVeOtaXGe3YcVtg2cF2YnU5VQxTndm/MdM5x18K7GJk/kofOeYiReSP3uK9dVVfZxPZ1tYyb1jbbekNlmKZYkrMO8wLTsS1bWHfVVVTccy+NH3xAzowZlFx7bZt9jhx4JBYIsu3wYTSsj+GGTvNWbFnk/ZtTAsD40VUEgsamFVVd6uPEQXkUZacxZ03FHpypiBxIFLg+QCVqa6l7+WWSTTsGa51z1FU2Ubqyiln3LiEtM8jpnzuE/JIsjvzYKDKyQ7z30sa929/mjOvitjWuAxYgLz2Pxuo6sq0Kxn0UgFXb63EODh6SRyDPq2edrG0NtjfXuK7LKiQjUE++i7NdkzOKiEg/5iKNxIOQ6TIIBI1AIEkw4ZXZCjiIJTRBo4iI9E2N8UYWVyymIda1esl7amtNIwGDgbkpkwsue5ap9a8TTzrqI7tXXnNR2SKWVS7jyslXtiRb9bbmIPuahV6ZkHFTB7VZv77CK8sxekAO8cpKNnz+CyRr6xjzxOOMf3EWI//4B9IGD26zT256LgcXH8y8UU0kogGagkd4K7a+7/2b7SWkpQWiDB6bz+YuBq4DAeOYscUKXItIC5UKOUBtuekm6l58iUBBAYUXXsjAb1xPIMv7tPitv61ikR+YtoDx8a8fQU6BNyCnZ4Y45IRhvPfSBmorGskfkNXpMXpSvLwCQiEC+fkty6qbqinMKCRgARprGskM1EL+wQAs3+pNJjVpSD7BDO9BO1Fb17JvS6mQYIiiQB3pCaeMaxER6ddcUxPxIGS4TEJpAcxoKRUSAGJxB+n7to8iIiIdeb/sfeLJOHXRul1v3AO21jYxMC+DUDAl1++1/+O4+jrgZ1Q1xMjLTOt2u48ue5S8tDzOPejcnuvsTtSWN/LYT98lGAyQTDqKh+VQOLhtCY4Nfj3p0cXZlF7/NWKlpYy69x6yDj10p20fNfgonh84k/Nw1JcGyQqEUjKu/azuZJzhk4qY//w6Io1xMrJ2HYI67qABvLBkG5uqwpTkZvDK8u2cdegQAgGVMxPpj5RxfQCqe+W/1L34EoWXXkrOjOOpvP9+Ku65F/BqWH74zlaGTyrk/OuP5OqfHc/odrWmDj91BJix+NXNe63P8coKQkVFWKD1V7IqUkVhRiEAjfUxsgM1kD8U8OpbZ6YFGFWcTSAnB8xI1LaWCslNywWg1iDT6ggmjHA0sdufjIuIiOzvXDRCPASZLpNgWgALuDalQqLKuBYRkT5q/rb5AMSSMaKJPZ8ccVe21DQxpKBdElfNRvLq15FFE1W7MUFjWbiMF9e/yAUTLiA7be/Ub17yZinxSIKDjixhyNh8pp8zZodtNlQ0kJcRInPjGhreeouSa79O9tFH76TRp+H1X3HG6DOoyUyyeqixds5c4gUjYIuXcd24rprqNVmQiDNiYhHOQenKrtUGP+4gLz7x1qpyvvbIAr72yALe27RndcVFZP+ljOsDTDIcZutPf0LGhPEM+cFNWFoam+JxKh9+mOLPf56tm6M01sU47KQRjDykuMM28oozGTd1IEvfKuXY8w8imNb7n28kKirb1LcGqI5UtwauGxxZaTWQPxzwAtcTBuURDBhgBPLzSaZkXAcDQfLS8qgjQUagnmQkAJkJttU2kTswt9fPR0REpK9xkQixIKS7DMzPuA4l/VIhqFSIiIj0Xc2Ba4D6WD3FwY6fZXvK1pomDhqY07ogUg+NVRgwyTZRuRuB6yc/fJK4i3PZpMt6rqM7kUwkWf72FkYfXsKpV03udLv1lWFGDcim+pFHsMxMii6+eOcNz/k9bJrLkdOu5umBp/LqqH8z9p3tPJs+iAui66hcnsv2J2+FRBEZJ29h8An5BEMBNq+oYuwRJbvs96TBeRRmp3HLs0sJR70P2EurG5k2qqhb5y8iBwZlXB8AXCzGhi9+iTUXXMjaT11MvHQLQ265BUvzXl0a8OUvk6ytpfqxmaxesJ1QWoDRh+18Rt9Jxw0hEo53eRKFPRWvrGhT3xqgqsnLuE7EkkRjQbKCDS21slZsq2PSkNaaYMG8PBK1bSeUzEvPoy4RITMYJpEIEXCoXIiIiPRbyUiEaNBId5lY0MAspca1KXAtIiJ9UjQRZVHZIooyvMBlQ7T361xvrW1iaGrGdU3rHFCHBNZTvRuB6+fWPMeMYTMYlT+qJ7q4S+sXVxCujXLICUN3ut2GyjATMxPUPPMsBeefT7CwsPONEzEvq9olYcnTjK4t4+JRuQSAMfeWs+qZwWxflE/eKScRzEhS9q/3CaUFGTKugM0fdqPO9ZhiwtEEnzthDOB9kCAi/ZMC1weAupdfoeHNNwnm5xMqLmbQ975H9rRpLeuzDj+cnBkzKL//QVYv3M7owwaQlhHcaZsjDi4iLSPI2kVlvd19oPOM66LMIhrrYwBk5QBmVDZEKauLMGlwSuA6P7/N5IzgBa5ro3VkZnm1sDIdbK/VBI0iItI/uViUaAhCLh2C5mVcp5QKUeBaRET6oiUVS4gkInxkxEcAL+O6NzVE4tQ1xRmcn9m6sGZTy5eH2joqG2LdanNj3UY21m3kpBEn9VQ3d2npW1vILkjfIWktkXQkkq7l602VjZyw4i1cJELxVVfuvNHtyyDeCBaAD56EyrVkHTye2WePZumEdLIHRhhydDXD7/wtxYdEaFi6hcYPFjNiUiHlG+tpqu/adfvOmZP434sO54fnHkJmWkCBa5F+bL8MXCeTjvoqBSCbVc2cSdqwYYz6632MfvghBnzusztsM+Ar11AZyydcG2PctEE7NtJOKC3IqEOLWbuoHOcPar0pXllJKCVw7ZxrmZyxsc77NDsr15sxavlWL0CdmnEdyM/vMOO6NlpLZrb3a57pjLI6/d6IiEj/5KIxYiEIJdNxQYN2getovPfHexERke5qLhPSHPTt7cD1Vv8t3aEFKYHr6g0AuOJxu5VxPbt0NgAzhs3omU7uQn1VhPUflHPw8UMJ+BNMzl1XyfUzF3LUT1/knDvfwDnHttomQk0NTJj9H7KPP46MCRN2bCyZ8sH2Zr9ky9QrYdO7UL4CGzCO6ivP4PZzHINmVFM0OYiF0iianCSYnUb5H/7A8IletvzmlV3Lup44OI/LjhmFmTEkP7PlZyIi/c9+Gbhe+14ZD988u8uf1h3IIqtXE37nHQovuwwLdp5FnTn9KLYedALm4mTHn4dXfrbLtsdOGUi4Nsq2dbW73HZPJMNhXDhMcEBrqZCGWANxF/cyrpsD14XeBBYfbvVqWR88pG3GdaKubT/z0/Opi9WRkeMFvLMxapv0OyMiIv2Ti8aIBCGYTCMZMCyQUioEZVyLiEjfNG/bPMYXjmdE3ggA6qO9HLj2s3vbZlxvhEAaNuFjHBzYQHVDY7fanLNlDkNyhjAmf0wP9rRj8WiCVx9ZjgMmz/DKhCSTji89OI83VpYxujibFdvq2FAZZv3mSm6Zcx9ptdUM/PrXd2ysYjX8fBise8v7vnQBZBXBR77jfZ+MQ/FYJhdPJuYSrElLg8wCAIKZIYpPGkP9K6+Q17CJ9MwgK+du7/b5DCnIVMlPkX5svwxch2ujJOJJGmqUPVs18zEsLY3CT17U6TbbGrbxncd/yOb8wymsXMrHl93ON5ffB+HKnbY9+rABBALG2kXlPd3tNuKVXj9Sa1xXRbxPYttkXBd5geoV2+ooyk5jYF5Gy/aB/DySNR1kXEdqyczzapMVh0LUNCpwLSIi/ZOLxYiEjEAyjYQBZoSS4MxhToFrERHpe2oiNSzYtoCjBh9FblousBcyrms6yrjeCAXDYegUsoiSVr2uy+0lkgnmbJnDjGEzMLMe7m1b0aY4z929iPVLKjj58kkUDvKSv1aX1VMdjvE/50zm9kuOBOeY9/YHBG+5kckV68j80U/Jnj59xwbXvemVBpl3n/f95gUw/CgoGg0jj/WWFY9lUvEkAJZnpEOWXyM7kEbRjOEEi4upuO2XHHbKCFYv3E5Fafd+fkPyM9miUiEi/dZ+GbhOxL0Hq6Zu1pU60CQbGqh5+mnyzjqrTZkNgC2ra/jPnz7gpb+/x8133clBr59CeqZj0qq/c/n6CC9nZ1G74vkd2vzGYwv52K9f4w+vrqY2mWDYxMJer3Md37IFgNCQIS3LqpuqAbyM68oaALJKvHNcvb2B8YNy2wz6wfwCEnV1bdrNS8+jLlpHZoE3G3RhMECtAtciItJPuVicSAgCyRAJAzMjmAQMgkBUgWsRkT7PzM4ysxVmtsrMbuxkm0vMbKmZLTGzR/d2H3vSzOUzaYw3csmkS8hJ857rGmK9Ozljc1mKIQXtMq4LRsKQwwEoql3e5faWVCyhLlrH8UOP79F+tuecY9ZfllC6sobTP3sIh500vGXdgg1eYtjUUYUUPv0oM1+4lUP+3+fIe38ed027mFEXnddxo6ULvX+XPwd127wa18P8+bSmXObVui6ZxOi80WSFMlmelQOZBayqWsVT2WkE02Dg9dcTnjeP8YHVpGUEmfvcum6d1+CCTLbXRnBOJc1E+qP9MnCdTHh/sPpz4NolEmy5+WaS9fUUf/qKNusi4Riz7l3M+iUVLJ9VwZS1pzNoQg6fPvpVshvL+BgfwZnx/spn2uy3qSrMM4tKqW2K8cv/LOfsO95g2KHFVG0NU7W1924OYqWlAKQNG9ayrE3GdWU1AWKkD/AC22X1kbavbQHB/DxcUxPJaGutsfyMfMLxMMF875P5AcGkMq5FRKTfSkb9wHUiSNzPuA4mgYDzS4XogVBEpC8zsyBwN3A2cAhwuZkd0m6bCcD3gROcc4cCN+z1jvaQcCzMI8se4eQRJzOxaOJezbguzE4jMy2lFGe1H7gumUScEIPCH3a5vdmlszGMY4ce2wu9bbXugwrWf1DBjIvGMenYIW3W/X/2zjs+ijL/4+/ZvtmS3ntC7x1pAiqICPaGZzt7L2c5y6mnd3rYu+fZTrE3EBEFlN57hySEkJBk05PtfWd+f0wKIQEscMKPeb9evEhmZp95ZnazM/N5Ps/nu3m/nTidgPHFp6l78SWcGXm8P+xSPrn1OXYPHIdGfQhpyLYZzMkQ9sPCJ9J0GCoAACAASURBVEGKyI5rgEHXwG3rICYTtUpN19huFJiiISab6eum84RJwBvxE3PRhei7dsXx6nP0PTWNvZtqaaj85e9hqtVAMCLS6Pl1ueIKCgr/PzghhesWx3XAE/6De/LHIEkS1f/4B84ffiTp/vswDhjQbv3yL/bgcQSJv8TD+0P/SvTlDVzcYzam4nfRJZmJq9agBjbXbW1XaGHmpkokCb6+eSQf/HkoDZ4gJWq5aJNtj/2YHU+wshJoL1zbA82Oa30sPrsbo8qJYJXX17sCJJj17dpQWa0AiAcUaLTq5GUBiwmBCHGEcfpPzs/MLyVYWkrE3vG9Djc20vTllwT27fsDeqWgoKCgcDSQwhH8GgEhrCaMJGdctwjXkkAorDiuFRQUFI5zhgHFkiSVSJIUBD4Hzj1omxuANyRJagKQJOnXhwofJ3yz5xvsATvX970eAL1aj0alOeYZ11UOPykHGqUiIXBVQUwmaHRUG3LJDu79xe2tsq2iZ3xPYg2xx6C3LV0UWfHVHmJToug7PqPD+k1ljfx908c4v/2WhNtvx/HYs3yVNpTv7Tqy4qI6bzQcgJqd0H8axHeBLR/Ly9ObHdcqFSS0FXPsEduDQp2W4tG3srZ6LQClEQ+CRkPSg38lVFFBTuMatAY1G34o/cXH1uJ8Vwo0KiicnJyQwvXJ7rhumjED++dfEH/DDcRfd127dXs31VK4tpo+E5N5pWI6vVK6c3n1XFTr3oJTbiVq7CQCm7bQXZ/CFrXYOvVHFCW+3ljBiLx4MuOiGNstkcw4I3P21qKP0lBb5uqsK0eFkM2GOjEBlb5NjG7yNzuuDTH4nAGMKgdY0/CHIrgC4Xb51gBqiyxSRw4Qri06ORPbrTdhULmxiGHFcX0A4aYmguXlSJJEuLGRyr/cy95JZ1F0ygiKJ0yk6okn8G3fjnvpUkrOOZfqxx6n5KzJlF5xBfaZsxC93j/6EBQUFBQUfgVSOEJIA0RUhJujQjQiIEhKcUYFBQWFE4N0oPyA3yualx1IN6CbIAgrBUFYIwjCpM4aEgThRkEQNgiCsKGu7thGQ/4WQpEQH+z8gMHJgxmQJBu1BEHArDUfe8e109c+JsRZCUiy4xpoMHenq1iCJEaO2JYv7GNb3bZjHhOydVE5zjofoy/uivog97TTH8K8czNdizeT+Je/kHj7bYzokgCA3Rs6tHBdswPEkCxU97tMXhadCeakTjfvEd8DV8jNC1vfbF1WEpbfK/OoURgHDcL79af0GJHKvq31BH+hqaxltnW1knOtoHBSovmjO/BbOJkzrsVgkPp338U0cgSJf7mn3TqPI8CSTwpJyrYwP+5T3KUuHq9vRLVvFZzxBIy6i6jgHOxffc2pjOBDvQ3P7h8wZQxmfWkj+xu93H2GPGIqCALnD0jntcXFnJueQm2Zs7PuHBXCNls7tzXIjmuNoMGsNeNzR2Th2pJCvVMuyJlg1rXbXh3d0XFt0crCtUunRy+4MEasinANOGbPxv7NTLwbNoAoym51SUL0+4m/+SZUJhP+bdtwzJxF/Zff4rRmE84ajeGaszE0lRFe+j2lL31N/Wf7EFLSSeuRQNa4PqR0S0StbX+TFApEaKzy4Kj1EvRH6DYsGZ3hhPzaUVBQUDihkcJhECVCahWEBUJICCo1EEYSZMe1knGtoKCgcNzTWWW/g3OeNEBXYByQASwXBKGPJEntplVKkvQ28DbAkCFDjrusqC11W6j11vLQsIfaLTdpTcc+49oRoE9adNsCe/NYQbTsZK5JHEH/+u8JL3wKzYTHDttWnbeOsBQmPyb/WHUXV6OfDT+UktMvgaze8R3Wb93fxJ92zyeSkETcNVcDkBkXRWackfJG36GF65Z867SBkDoAFv+zzW3dCT1iewCwonIFZ+WexU8lP1Ii+lrXx1x8MVUPPUS6sZHtYZE926uoS9nLuMxxhz2+1GgjoDiuFRROVk5IBSnil8XHwEkoXLt+/JFIXT1x/5rerjihJEks/riAUDBCwtkhvts8mxvCBrpWrIXz3oIB0wCIGiznUQ2oNvFWrIoFa7/h59qz8YUimPUaJvVpy8I6f1AGry4qpl4nIe31EApG0OrUHG2ClZUYerWLZqPOW0ecIQ5BEPD5BKJ1QVBrqXfLNykdokIsskh9oOPaqpfFbIdag0Hlwh+xnPTFGevf+g91L7+MLi+PhJtvQpOSgn/nLkSXk4RbbkHfVR64qNnnZH+fEkq2NhARmz9nG4JAKmTcABmgFwKoXU6qtwts2r4TlSCRmG1Fr44g1tpwh/Q4AkYOrKGxcV4pp17WHXOMnvoKFwaTlqze8ag1J+TkDwUFBYUTBqm5BkRIrQFk4RpV83evSkQlqpWMawUFBYXjnwog84DfMwBbJ9uskSQpBOwTBKEQWche/7/p4tHB5pYPq2ts13bLj7XjOhgWqXcHOhZmBIjJAmB/6ll8tv1npq18ARK7wIDLO2lJptHfCECcIe6Y9FeSJJZ8UoAEjLmka6fblM1bxODGMmL+9igqXZsBbGReAl80lpMdf4BwXbkJBEEWq22bISpedlkLAkx+vq0wYyd0ie2CSlAhSiJX97qagpIF7YRr65kTqXnqKfQrvkVvmszKlVt5LfYhll669LDnJ8GsQyVAjeK4VlA4KTkhhWvfvjJAh7fx2I60Hg9Ioojju+8wjRiBJimJhg8/RNclH9Ooke22272yirLtDQy/MIfHim8nCy03Vu+HaZ9Dt4mt22nT09GkpZK8pwGGgTeqjh2FRZQFLVw6JJMoXdtHIjfBxIDMGNY2uhkqStSXu0nNj+ZoIokiYVsVugkT2i3f79pPplW+J/MGdBjjZRdYvavFcX1QVEi03K+Isy3SpCUqxKVWYVC5EcICAUHEH4q0L7RxktDwwQfUvfwy1nOmkvavfyGoOz8H25dUsPzLPWj1anqOziBvUCLRCUZ0Rg1N1V4abW5iU6JIyY9BiIRpWLaOvV/8TE1lEJcrHw8aRJUWfaCGbEcJFnc5JrUXIbsbu2On8MOb29rtT2/SkD8wifRuMaR1jcEca+i0X4fCt2ULnnXrSbjxBpz1PqwJxt98jhQUFBT+v9IiXIfVWohA8ADhWnZcK1EhCgoKCicA64GugiDkApXAZcDBqum3wDTgA0EQEpCjQ0r+p708CrQI16mm1HbLzTrzMc24rnXJ4mi7jOsWx7VVTmXRadU8Gv4zF+WF0X53p1ysMLF7p+01+BqAYydcF66tZv/ORsZc2rXT5yApFCJ11gwazHH0uOSiduvGdU/kiw3ldEmyNG8swdfXgt8Ot60H2xZZqG4xzA274bB9MWqMdIvthl6tp3dCb/IkDSVCW0FFVVQU1iln45j1Ldm3T6Nwux9hkApvyHvY86NRq0i06KlShGsFhZOSE1K4FoMhQIff6TviticqTdUeijfWoq0pIfjmG1iNL5Nw1Z8I7NpNypNPtLqtA94QG38sY+victK7x7Iq7nvKbeW8W1WD4fQn24nWLZiGDqVx8VLU/U1s1nv44Yx6PmEoU/unddj2gkHpPDtrJ0MxUlvqPOrCdbiuHikUQnNQVEiZs4zxmeMJBSOERS1Gsyyy1rmbhesOGdctjmtH67KW4oyuSIAYTQAxpAatnPF1sgnXTZ99Ru30Z7BMmkTa0093EK1FUaK+3MXO5TZ2rbCR0zeeCdf2Rmds/xWRmh/d/jOg0pJw+igSTh+Fe+lSmj77HOPAgcRcOBmV0Yhv+3b8BQUEy8pwL1nKgI0LcE2+mdDOrURVFeCLSsJ9yb3s2VDDrhXyzWlCppn8gYlY4gxEIhL6KA1pXWIwWtrHw7Qe2+df4JgzB/eI85n7xjYueWQoiZmWo3sCFRQUFE5wxID84BjRyMJ1QAKp9VogIqAI1woKCgrHO5IkhQVBuB2YD6iB9yVJ2ikIwpPABkmSvmteN1EQhF1ABLhfkqSGP67Xvw2bx0aiMRGduv0zgFlrptZ77OpNtuQod3Bcm5NBKy/TqlWE0WAf+ySJH42XCxgeSrj2Hzvh2usMsuLLPaTkRdN3bPuCjFI4jP3rb2h45x3SqipZceEtjNa1P5eT+qSw6N6x5CWa5QX1e6Bpn/zznLugdjd0n/yr+vTaaa+hVWkByBP0LJWchCIhtGp5WcxFF2P//AuSfMUUBWNJdeYRiASO2G5KtLE1KuTTtftxB0LceOqxi19RUFA4fjghhetIa3HGtjD/NbP3Yo030mt0R/H1f0FNqRNLnIEoq3wxcDX62bXCxsAJWR3Evxa8ziAb55XSdUgyKXltYmDB6iqWflZIOCgCAgx5CEESMS6rxdL/Zlz6gWgX7Kem1EFFQRMBX5gew1NIPl3gicXvc443yPCkwTDsxk73axozBsfs7+hW2ZPNuV6idn/JjTfd3um2Z/RM5rHZOxGM6mOScx2yVQK0y7h2Bp00+hvJtmbjc8kP2sbmEe8Wx3W8qf1FV2Vtybhuc1y3CtdBFyn6MGGfFojg9IVIsvw6V++JjH3mLKqfeBLz+PGkP/sMgqb953Hv5loWzSgg6JP/ngZMyGLE+fmoVJ1F6B0a89ixmMeObbfMdMopmE45BYDIvW5qpk9H9fVr6Lt2Jfnfz1Jx223kFH/KxFdeoaHCTdnGcsr2eFn73b4O7SdmWRh1URfSu7Wvxh0oKYFIhF3LKwBwNfgV4VpBQUHhIKRQs3Ctkq+fAVFEanFcq0TUCATDinCtoKCgcLwjSdIPwA8HLXvsgJ8l4C/N/34xq/bW4/SFmNQn9cgb/w+wuW2kmTs+25u0pmMaFdIijrbkKgOycB3dltCibS5+GFSZ5AXBQ88EP5ZRIVsXlhP0hRl/ZQ+Eg57dGt59l7qXX0Ho1YfHM8/kwnPP7fB6QRDaRGuAPfPl/wddBZtmyD+nDfxVfUoxtUWP5gl6wsizqVsyvg29e6Hv2RPp05eQBjxKl7q++CNHdlKnWPXsq/cQDIs8M68Ahy9ETryJib1TOt1+7rYqdtgc/HVSj1/VfwUFheOPE1K4FpuF64CvrYrvrpVVxCT9fuF6/84G6ivcDDozu3WZ3x1Cb9K0upzLCxrZvbKK067qgUarxlHnY+azG4lLN3Hxg0MQVAKLPy6gfFcjFQVNTL2zP5IEG38sxWjWMeCMTCJhkblvbqO21Mm2RRXk9I3HFKOnrtxNbamT9G4xjBkXxb7rb0F18fUEugyiankDLnUv1s8rBwmsCQay+8Yz4Iws4jNMXPnDlVgkifuanHDT623ZlQexO6M3ZkHFeQ1G/pUnYavbQXptASR1/FJPjTaQZNHj0qioLXN10trvI2STXba69LZi2Pud+wFk4bpJvikxRss3BfXuABaDpoNjWqXXI+j17TKujRojakGNM+jEYBCIiDpUkg+H75dVLz7RkUIhGmd8RO0LL2AaOZL0l19COGiUvb7Czc//3UVcqon+Z2SS1iUWc6z+EC3+PtRmM2n//Cfx11yDNjMTlV5P3HXXUv/qa3hXrSL43WxM381hwiuvoLl5HEF/mLrp/8JV7UC66i/sWmHj2xc302tkMqnd4kCC9O4xBPfuJag1UbazCZD/XhUUFBQU2tMSFSI2u6ACknSA4zqCCpSMawUFBYWTmPeW72Nfg+e4Eq77JvTtsNysNR/T4oytjuuDo0JS2vqia67PE1A1i9sh7yHba/Q3YtVZWx3HR4ugP8yOZZXkDUwkLtXUbp0UCtH0yaeYRo9m8Z8fZt2cXTyXn3DkRovmQ1IvmPwClK+Hut2/Wrg+kDxVFIhQ4ihpFa4FQSD9heepefY5Eut3owv0JeBogo41JduRYjWwem8DK4vrcfhCxEZpeeCbbfRJjyYtpmNEyqzNlWwoazyscL1qbz3fbKzkhUv6/+ZjVFBQOPackMJ1JNwsXAcFJElCjEj4nEHaVYHrhIA3hCSCwdx20Qj6w+gM8mmQRIllXxThqPWRPyiJ6EQjHkeAjx9dzYAJWQyfmocoSiz/vIimai+xKVEMPTuX9d/vQwLqy91sWVhOdIKR8l2N5A9KomRLHd++uBmPPYDXKT80Vu5pQqNRUVvmZMK1vXA1+tm8QBZr49JMjDg/nwETsqj5x5OYw410ueksNHFxcHFPAEKBCOFgpF10wucFn7OtfhtP19YTe+Z0iO982kyN08+DP5VyR1I+A0oaYCisNEZxybbP4Yy/d9heEAT6Z8ZQWuDCXB8i4A2hjzp6F91QpSxcH+i4LnWWApBjzcGxqQoAY3wMAPXuIInmzoVVtdWK6GoTrgVBwKKz4Aq60EfJD+dGiZOiQKN340aqHn+cYPFe2Wn94guo9O3Pm98T4se3tqE3aph8az9M0b9MsK7z1rFo/yIWVyymwddAnCGOTEsmf+r5J3Kjc9lZv5MXN75Il5gu3DP4Hgya9u52fZcurT/HX301TZ98Svn114NajTo2lvrXXyN3whmoKvcS/uFrjED+sw/Q77ThrP5sB9tXVrFrVQ0A5mgtg/wRalKGtw5o+U/Coq0KCgoKR0IKyDOWIs0Pzj5RBHXz/Y8gIigZ1woKCgonNcGIiN17fNxHR8QI1d5qJpo7xl4e64zrSrsPg1aFtWXWtCSBowJ6tEVm6NTNsZ1C83POYRzXLc9LR5tdK2wEfWEGTsjusM7188+E6+pI/ec/WLm3gYxYI1lxUZ20cgB+B+xfDSPvAI0OLvkQ9i4C628fyMhRm2Th2l4C2bCicgVdY7qSnJdH9CvTWf/w3eR6+tG0YA/cPPqwbSVHG3D6w3y5oRyrQcMXN43g/DdWcvunm3j98kEdxGub3YfDF0IUpUPOJF60u5ZvNlXw3EX9fvVsYwUFhf8dnVtyj3NczY5ZURIIh0Q8DvlhzOeShVUAjz3AD//ehs/dVgxgwXs7mf3K5tbfm6o9vHffcgpWy+Jo+e5GHLVybnbLsp3LKgkHRTYv2I+r0U/J5jqaqr1YEwxsnFfGvm31FK6rpv/pmeT2T2D9nH0s/6KI+AwzE6/rxYRre1Ff7sIcq+fih4Ywdlo3ync1sndzHSPOz6frwHgGT8rhuufHcN0LY7jgvsEMOjMbyeXEMfs7rJMny6L1AWj16naidY2nhpfXP8cIn48pva+EwVd3et7q3QEuf2cNda4AXc+dhFBSRu9gIisSM2HblyB2/sA6IDOG3QF55Ploua4lSWLtnBJmb8lgZ/8b2VfoIdI8RbnMWYZKUJFqTGP9z/VEq20k5skjxHXuQId86xZUVisRR/s4E6vOKjuuzfL5MkgCjv9nwrUUieDbvgOp+f1zzptH2TV/RvL5yXjzDTLefAOVUb6QS5LExnmlzHx+IzMeWYXbHmDSTX1/sWg9b988zpp5Fv9c+08qXBUkRSXhCrr4bu93nDf7PP48789MmzuNwqZCPi34lGlzp7Gmag1FTUVUe6pb23EFXfxj9T94bufrxN5/D4Z+/cj55GOSH3mEwJ5iXAt+ou71NxCa++1evAStTk1vcTOjVj/CxLi1TLm9Px5niKIuF1GdMpy4BA1qrQrfUXRcv7diH++t6BhboqCgoHCi0eK4loQDhWt5UFcighpFuFZQUFA4mQmGRezeIKL4x8++qfPVERbDpJvTO6wza80ExSDBSLCTV/5+lu+pp39GTOtsa7wNEAmAtS1DujUqBC0IqiNGhRxt4ToSEdm6sJy0rjEk51o77vOTT9BmZmIYNZrVJQ2Myk9oO55DsXcRiGHoeqb8e2J3OOWW39XPKLWWNFFgr2MvO+p3cMvPt/Du9ncBqHRXsrjnZrRBB7btR47xTG3OHJ+/s5oze6fQLdnCMxf1Y4fNybjnl/CvH3cTPuA+ptLuQ5Lk+laHotHTHKN2BAOkgoLCH8sJ6bgWI21RD353CI+97aJlr/WRnKOldHs9+7bWk92njt5j0gkHI1QW2omEReor3CRkmClYXY0Yllj5TTE5/RLYvqQCo1VHXKqJgtVVDJ6Uzc7lNpJyrDRUulk9ay+NNg8xyVGcc9cAPntiLT/+extavZrc+pVoe/eiolDA4why5g19kDxuug5JJr1bLAazlsZ33yXdauHCByZTX+Emw19A4bDzSXv6KaxnnQWAY84cmj75FP+uXUjBILFXXHHE8zF95eOEwwEeNXZDOPPpzs+ZKHHdB+ux2f18eO0wegg92Pv2a5xTncYrObsJOSvRli6HvLEdXjsgM4bX1PJFoLrEQWZP+cIbCYnUlbtIzrW2Xgjr9rsQI1KnF9C2909kyaeF7F5ZRZzkoDG6G/Pe3oE5Vk//0zPZTwWpplR2L6nB3ghTYt9DHSdf4OrdAXqmdN622mol4movXFt0Flm4br7RMErSYS9eJyKNH3xI7XPPocvJwTRmDE2ffIJxwAAy3/o3amv7c7V1YTlrvi0hKdtC9+EpdBmU1C5f/VCIksi/t/6bt7a+xaCkQTw24jHyovNa3/cGXwMf7PyAH0p+4PKel3PbgNvYVreNh1c8zA0L2qpPD0oaxITsCczYNYMabw2iJLLCmsMjrzyCyhSLpWsGutxcaqZPJ1xdTcIdt+P8fi7uxYuJu/IKnD/8gD7oRL1zLdl9HqJXupOd0ggAhuWr2VWkPqqO69lbKtFrVFw3OreTlbdB7jjod/FR25+CgoLCsaI1KqTZce2NiAiaFuFaRC0IBBXhWkFBQeGkJRQRESVw+cNEH8UZtr+FKo9sIks1dXT7mrRyLIY75CZOffQEYSkcpqjOQ3Gtm6vO7d22wiX35UDncYtwHRIl0JqOGBXSEpNxNAgHI2ycX4a7KcDYaR0LQvoLCvBt2EjSX//KjioXLn+YUV0PExMiSSAIckyIMRYyhh61vqLSkheRHdfPrHsGgILGAkCOgglqI6i9i3Dqzqem1ElyzqE1hOTm6BZRgin95dnaU/qlMSAzhufnF/KfpSX0TY9mSr803IFwq1nN7g0RE6XrtM2GFuFalDgoiVRBQeE44oQUroVwQK6hjBz/4W5qC/O313hJzrFSXyFPHyrf3UjvMelUlzhaHb1F66qJT8unaF01cWkmmqo8LJqxm9IdDQw5K4f4dDPz39nBkk8K8TqDnHZ1T6qK7Wz8sQyAsWcnEPjmI4ZOnsCqWSX07g6Ol6ajSUxk4suf4fGCdvFXFL3yKtkffkDU4MH4tu+g7sUXQRDIfDuDbn16UzL1cSSfD9vDj6DLzydQWIjt/gfQd+1K7OWXYz51DMY+vTkci/Yv4ueqldztcJF5zVut034P5vvtVWytcPDypQMYlhsHxKHLzaXXbg/erCCboswML/6pU+G6b0Y0ATVICXq2Laqg79gMDGYtSz4rpGBVFROu7UW3YSk46rzMfGET4UCE5FwrvUalERMroN68jMQLpqKKiqKm1MnKr/dQVexgyOQc4v/zIrrcPMSbHmPLT/tZ+XUxqZpTMeZlsqGslJzUBrLZCjFZgFycMaFL5xceldVCpK6+3bKWqBBDtFx0Il4K4DhOpsAdDaRgkMYPP0TfoweCRkPTRx9hGj2ajNdebXVZt2DbY2fVzL3kDUxk0o19jjzq3syO+h08teYpdjTs4Lwu5/HoKY92qO4db4zn3iH3cu+Qe1uXjUofxexzZ7O1biuBSID9rv18U/QNz6x/hixLFjPOmoE/7O8gbj961lj6vrkQldXKpnFpWG3ZxHy3Ev/u3fi3b0cdF0dgzx5Er5euoa3sd2XhNmWQnRJgb6X5qGZcy/lpnX/e2P41qDSKcK2goHBCIAZaHNfyDBtvJILUEhVCGA0QCiuOIwUFBYWTlZY6B03e4B8uXFe6KwE6d1zr5Oc6T9Dzm53MgXCEreWO5udimdLLprEvPhshbjyT+hxQ8M/VPGvU0iZct2RcByMi6ExHdFwPNRwdMXjXChurv92L3x0iq1cc2X06BkM3fvQRgsFAzAXn8/mmOgBG5h8iQLpoPnz+JzAnyc7ynlMPqSf8JtRa8iISK5oKAUiOSqaoqQhRElvf4z1xK8kNnMmGbws4++5hh2yqJXM8zqRrdzwZsVFMv7Afs7faKK6VNSCb3de63n6Y2daNBwjXCgoKxy8npHAdlCQEMYKkUuP3hPHYA63r7LXyaGd9ufylVVHQhChKVBQ2IagEUvOj2bO+hqxecbibAky4IJ/qYgfbl1YiqAR6j0nHaNFiMGspXFtNdJKRzB6xpOZHs2tlFVqdCsvc/1C3ZBHpd4lMvuV8In+/FTEujnBdHdGLPyNl6lT23foahMNUPf44eTNnUvvCC6hjYtAkJmJ74AEM/foScTjIfOdtbA8/TPkNNxKurydq+HAy3/5PhzziznAH3Ty1+h90C4a4KndKq7h7MOGIyMs/FdEjxcI5/duypM3jxxOcMQPreDUrEjMZXr6u09dbDVryE80UGNT02hFk9axicvonUrCqCq1ezbLPi0jtEsPCD3ejUgmMuCCfXcttLP64oLmFRPTLF2PNSqSu3I3RouX0q3vS/ZQUCh+3YRk9iuS+CeT0TaC6xM6L780gq6g3okZidPZScGaDWksgHMHpD5NwyIzraIIl7WMdLDoLNd4a9IlyRnayKvT/ynHt+H4u4dpaUp9+GtOokQSLi9Hl5CBo5ZtNe62XglVV+D0hSrbUYU0wcNpVPQ8rWjsCDu5cdCe7G3dj1Bhp8jcRZ4jj6dFPMyVvSofXFte6WLi7FkEAo1bNsNx4uiWbEQSBGEMMYzPbBkOu7XMthY2FZFuzidLKOWuzzp3Fuqp1+MI+1lSt4ak9s3muZzyFfaJ5e8Nj9DYKPB4KUfXY4wAk3nE71U88iX/nTsIlexlYuhxX2Ij+nJsxmmOPunBt1nfyNRnyQdgvT6dTUFBQOAE4OCpEdlzLP0tSBLUgKFEhCgoKCicxwWaTV5M3SA6mI2x9bKlyyy7nFFNKh3UHOq5/K28sKubVRcU8cU5vrh6ZQ6i2Fv+OHcQb9jH8pvNIshwQXdHiuLa0633+VwAAIABJREFU9aU1KiQsgi7qkMJ1SAxhD9iJNxyh8uAvwOcKsvTzQpKyrIy4KY/ULjEdnssC+/bh+HY2sdOmoY6OZmXxbnqkWDp/fg754If7ICYTMk8BZyUMvaHjdr8HlZa8sAio6BHXg0u6X8KTq5+kwlWBzS3XutqWF2TMz0so1U6mscrTodBkCynRBlQCTOqT0nr+WzBo1aRFG9lXL78PlQcI103eQ0fKKFEhCgonBiekcA0CupCTgF4Wqdz2ABqtiqhoHfYaL5IoUV/pxhStw+MIUlfmorKwieQcC73HpPHT+7tY/uUetAY1uf0TyeoVT/GmWjK6x2KOlb/Uuw9PYevCcnoPjaN49GgSbruN8+45j0hjA/UXL0FltdLw+mvENtTTtHsnac8/j2flSho+nIFr0WLU0dEk3XcvVQ8+RPkdd+Bds4bkhx/CNHo0+y66GM/SZSTefRfmMWPIePllyq6+BkPPnmS88cYvEq0BXtv8GnX+el6qb0J74X3t1gXDIqUNHrokmpm1uZKSeg//uXJwu6ID1rMn0/j++1y/LYXvTvFwb8lmCAdA03H//TNiWFpUy2Wn5bD153L2bq4jPt3E2FN1fPdlI18+vgJ/SMVpV3anx8g0eneTKPrr0zRVu5GGnEZDcQ0hTXeGTB7EwIlZ6Awawk1NSD5fu8KMmtQwP3Z7hwe6/o0z088i+se/QZw8taqhOa/8UBnXaouFiLOTjOuAE0NcLCCRqAr/v8m4lkSRhvffQ9+jB6ZRIxEEAX3Xrq3rPY4As1/ajMcRxGDSYI41cPrVPdEbD/1n7w66ufmnmylsKuSibhcRFsMkGBO4qtdVmHVmPIEwMzfLo+MZsUYW7q7hs3XlHUaps+KiuHVcPpcNaz+YohJU9Izv2W6ZVWfljOwzAJiSN4Vusd24T/UCZq3Iff3v4x31W/ij3LB9O8ZBA9nSy0gK4Nu2jUBJCdG9eqFZvhzR7cZg0lLfdHSKtYiihMMXItnSSeaat7Flo6OyLwUFBYVjTYtwTWvGtXRAVEgEFeBXhGsFBQWFk5aWwcvDCX3/K2weG7H62Fajy4FYtBbgtwvXkiQxZ1sVggBPzNlJToKJgXs3AmD2e7jE0Nj+Bc5m4drcJlzrWqJCIoePCrH77QBHJeN610obYlhi/JU9Ooi7kiTxt293cMn3b2LQ60m45Wb8oQgbypq48pSOxRsBWPkq2PfD1XMg99Tf3b9OUWsYGAhhio3jwWEPYlDLz1UFjQXY3DaSopIoT6ghxbWOciayeX4Zp1/Tq9OmonQa/vvnYfRL7zzmMjfBRGmLcN3UJlwfbrZ1g6e5cHVEEa4VFI5nTkjhWpLU6IOycB3whvDYAxj1ESzGMPYaL446H+FAhH69YNNm2Lu5lppSF4POzCK3fyIavZpGm4dug+OouOJyUh59lGmPDUejV+OYMwfPmjX0v+cRwiGRpKL5OJuaqHvtNbqcM5Wm2T+CKJL13/epvPsemj7+GEPv3lgnn4Vp+DBcCxYQLCkh443XsZx+Ou4lS3HNm4c2PZ2Yyy5DpdOR/vzzuJctJf766wGIGjyY/O/noElKQhV1hGq/zWzbv5zPCj7lMpePfj0ugLj2GbxvLd3Liz8VkWI1EIqI9E2PZmKv5HbbGHv3xjplCsMWzOPDrhLVRIjfshAxvif63PbtDUi3UDvne1IGqCiO0eNzBulV+CX2TxaSnzqawu7TSKjfinD3gxQJAqLTiVarZeArr2A5bTx1b75J/auPolodRdmLVowDBhA9dQoA2vS2KWCljlIA8rMzSUqzQOM+yB4FyPnWwCEd16poK6LLhSSKCCr5ZsKqs+IKutDGJCJQRawQYc8JLlxLkQjh2lrcS5cRLN5L2rPPdBhtD4ci/PjWdvzuEBc/OITELMsR2/WGvNy28DYKGgt4afxLjMscx/I9dfy8q4YZ9mpCYYkPV5e2jkwDaFQCVwzP4rbxXYjSa7B7gywrquebTRU8OHM7O21Orh6Zw5tLillWVM/bVw1mUFbsIfsgCAJX976a4anDSTAmkGCU89jW5zzDmF0wP9/D61se5Y0YFa55X2NpaMDYty+e5csRPR4MZu1Rc1y7AmEkCUKdidO+FuFacVwrKCicGEhB+Rra4rgOI7U6rkXCqFEyrhUUFBROZkKhMCoxQtNRrBfzW7G5baSZ0zpdZ9I1O66Dv0243l3lYl+9h7+d3ZOvN1Zw+yebeKV2EQk6PVI4woCybcA5bS9wVUFUAmja4gNbokJCR4gKafTLzwxxxt8nXIuixM5lNtK7x3TqSK53B9nw43KuWLmE6FtuRRMfz9rieoJhkdFdOsm3tu+HFS9Cr/OOnWgNoNKQFwqyetpqBEHAH/ajFtQUNhVS6akkLzqPWm8t7l4JpNeto2idlmHn5GGJ67xY49huiYfcVU5CFN9tsSFJUruokAMHYmpdfuJNetQqAV8wgj8k3/cojmsFheObE1O4Ro0u2ACAzy0L15qaMrR2HzWmPq351up3niJuwkNsX1qJJErEh2z4V5aRNyCZorU1ZIRL8G/bRv2bb5L57zcRAwFq/jWdSGMjhu49GHPeuRSf9hGGvn3x79hBw9tv45w3n6jhwzH27k36iy9gu/8Bkh95GEGlQpOYSNpzzxEsK8Ny+ukAJD/8EKGKChJuuxWVTr7YWU4bj+W08e2OSZeT84uPP7TqVZ7Y8QaJahV3BlRwanu3tSRJfLWxnB4pFrLjo1hf2sRDk3t0Gg+RdM/dOBfM5/KlEXbEWMm45n6ksIh57FhiLr4IdXQ04YYGBr/4MkP2lxFa/zH9U7vhD6vRBypJ+vvfyenbh+waNbGeIKENkwEw9OpF1LChrQJ4wi23oE1OwV9YgOhw4Jy/ANf8+QDtHNdlTjlHPDs6G9y1EHS3Oq7bhOvOM4fV1mgQRUSPB7VFFmotOotcddoYjU4oQSWJOH0nrtgYbmig7IorCe6TI1G0WVmthT1FUWLLT/upr3DTWOWhocLNpBv7/CLR2h/2c+eiO9lSt4XnTn2OcZnj+GDlPp78fhdatYpA89TBU7slcvcZXUmLNlLe5CXFaiAzrm2wxazXcPnwLC4dmsmz8wr4z7ISPlpThkGrwmLQcuOMDXx72yiidBqe+bEAg1bFA5N6YDoojqNHXI/Wny/vcTn3D/+AnhXVfJpWxh0D76Ah7yN6bCoFYGO8g2xA9LgxJGoJeEOIotRudsFvoWV0PtzZCLyvSf5fivyufSgoKCj8r2hxXGubM67DAq2xUpIUQU1bvqmCgoKCwsnHZau/wOKop2lqnz+6K9jcNrrGdu10nVkrZ1z/Vsf13O021CqBCwZlcFbfVG76aAP+HzewLSYbs8lIn+VLkKRH2p6dXdXt8q0BtGp5XWtUiN958G4AaPDLmsXvjQop216Pq9HPqIu6dLq+pMrOdTu/x64zsa73aVwaivDMvAIsBk27HG8a98Ha/8DWzwABJv7zd/XriKi0IEZaz6VBYyA3OpfCxkJsbhtDkoewpmoN9X3TyXtvLhVJI9i8oIxTL+tYdPJI5MSbcPrDNHlDVNp9pMcYqbT7sDc/03kCYcY9t4THp/bi0qFZrW5rUDKuFRSOd05I4RpUaMJ+VJEgfrsPd6OfKHct+sYqwpk9KdvZgIBElLeKxEgljYE01BoV4jvTsTXVM+jLHzHH6Ima+zlewL1kCYF9+/Bu2ECksRFdTg61L71EYE8RottN6pNP0PDf/9Lw3vsgSSTedRcAxr59yZ/3Y7ueHSxIa5OSyP36q999xGExzO6G3awvX8qyHW9SpNfxSr87MPe7tkMBhQ1lTZQ3+njh4v5cODjjsO1q09OJv+Yaxrz9DmAkqqsZ46SraPr4E9xLl7Zup8vJ4R8jrmFM10TOqt8BGg1J976FNjkJgK69AXrA1Emd7kcQBGIuvKD194Rbb6Xqb4/i370bbVZbnESZswytSktKVAqUr5UXxuUBUO9qjgo5ZMa1LNCKTmercG3VyZWJnWo1OpUHlcQJFRXi3bAB+8xZJNx6K9qkRCruvIuQzUbyI4+gy83F2LdPq/CwfUkFq2ftxRJvwBStY9yfupM/KOmI+whGgtyz5B7WVa/j1Ng7+XlDMh8vWseyojom9ErmlcsGIDVXGE+Jbhv9PvBnAGyboWAudJ2IOnMYD03uSZ/0aHZVOfnzqBycvhDnv7mKq95bh9Mfwu4NEZEklhTV8fdzepMZayQ2Skf8Qe+vVq3l0iuf5sVeL/L80AcYmjKUhol6ajdNB+C5us95Tiewad8qLN0mIkkQ9IYxmH9fUZmWz0mnma9exXGtoKBwYiH65ULWauTv2BAckHEdRgWEworjWkFBQeFkJc5XQpq7ifV/cCF7SZKo8lQxNmNsp+tbMq49oUMXRDxc23O3VTEyP544k2yG+vaKPux5oxr9hDNJy8sg9NxTBAoLMfRoNtK4qtrlW8MBGdcREbRRbQUcD6LBJwvXvzcqZMfSSkwxenL7d3RPix4P0t/up2/DPj499UrmrraxpSHEtgoH71w1pM0gJEnw0XngqISeU2DEHXK+9bFErYFI+89T97juLCtfhifkId2cjk6lo6pPCn2jBJJta9i5aAg9zPtJmjLhV+0qN0H+XOyr92Cz+8iINeLyh1qf6aocPrzBCEU18oDHgbOIFeFaQeH45oQUriVBjSCG0YY9+Jo8eBwBYgN2jE1lkAn7ttRhlhyoxTDWktWQcCFJaTrEn0sA0OxYzbAzTqXosTVEn3suzh9+oHHGDLzr1qPv2ZPMN16nZMpU7F99jXncOAw9e5J45124fpyHEBWFZeKv+xL9PTgCDp5Y/QSrbatbR5XzBBipn8T4ATdA8+hlWYOHZKsBg1bNzE2VGLXq9tWQD0P8jTeye8UcFibX8mBeE1G33kr8tdfiLyhACsgjkVGDB6P+ZAsf1Li47oU/H7a43y9Bl51N1owPkfx+VEZj6/JSZylZlizUKjU07G3uoCxc1zU7rhMPkXGtssoidcTpbI0fsehkAdsZ8aFX+0FUnTDFGSNuD5X33U+4uhrnvHkYe/fGt3Ej6S++gHXy5Hbbuhr9rJldQlbvOKbc3v8Xvz/b6rbx+KrHKbYX089wA9+vSiU1uh6jVs1t4/P5y4TuqJudywe7otkxE/YsAEENDXvaBhqWPQf5p0PeOKYiMTUlEdRJJCXF8e8/Deaa/66jZ6qVj64bjtMX4i9fbuXP/10PyNEj/7lyMKf3lGNt/vn9LgprXPz3muF8NfUrRFFi5qYKxnTvDYCg1zN10FP4P36IPbZtLN35POO4HLfLdxSF684c1y3CteK4VlBQODGQfPIDvkbQI6gFEECl0yIiC9ey41oRrhUUFBROVtSSA0vQ/4dnXDf4GwhEAqSaUztd3/J891sc1zttTkobvNw8Nr91mW/TJgBGXDABXU4Oe55/GtfPCw8QrqshpW+7dvTtokLMxzQqxF7jZf+uRoZNzUV1UFHCcFMT5dffgHXXbt4cfDHXPXorH72xklmbK7l9fBcmHBgV6qqCplKYNB1OueU39+dXodKCeJBwHduduSVzAUg3p6PX6HGZVOQvmI9hzhLmLNWw8cOVTJp8emv85y+hRbgurfdQ2eTjlPx4qhxtn+dap6wlVDnkGJEGRbhWUDhhODGFazSopAjakAd7rRcxAvqAnShvLQABb5g4RxloNETtWkbU5EtJRa5aq46Lw/7N1/KIYyhEzKWXglqN/fMvQJJIe/YZtGlpJD34V2r++RQJt8pf6rqMdFL+/ncEnQ5Jq6PBHWjnDN3f4CXOrMN8sLh3AA5vCI1aaCcAljV4yI5vy6naaXPg8IUYmZ9AKBLi1p/uYlv9FgbHncllXQcyZNY9rA4O5g7/OBYPqOW0HskUVDuZ8uoK+mZE8+5VQ/h+m41JfVI6Co2HQG02o339KWb9dBPja5yMt5ehis0hauDAdttN6p3CooJadtqc9DlEUYRfgyAICAeI1qIkUtRURLfYbvKCxr2g0kC07MiucwUw6zUYtOrOj8PSIly7WpfFGGIAsAfs6DUhgpGo49px7S8sQpuWitpioe7llwnX1JD+8kvYv5mJZ/ly4m++qYNoLUkSSz8rBEli7LTuv0i0jogRXtv8Gu/veJ+kqCQuzXycdxcYuXlsPg+e1eOIr2f3HPj6WoiKl4t56q1w5r+g9/mw7QtY+QrsXdi2vaCG7JGMTuzB5omZGIdcgcYsv1/z7h7Dun2NuANhXl24h3/O3c2YronsqnLy7go5EuXdFfu4eWw+by3by7PzCrl/XA6nabXocnPZUJRAL2IYYc6nKi0f9sBDP/2Nu8++id7xvX/5yT8Iu0++mQl3mnHdHBWiCNcKCgonCJJfflDTCHpUzQ/cKm2LcB1BJaFkXCsoKCicxGgiIsaQhNN5dAqd/1aq3HIxxDRT5xnXOpUOjUrzmxzXc7bKMSFn9m4zeHnXb0DQ6TD07YtKp8M4aBCuRQtJvP02iITBU9tJVEiz47olKuQwwrVWpW0tKPlb2LGsEpVKoNfo9ucj4nKx/7rrCO4tYeYFd1Gc1JMBmTFcPzqXBk+QeyZ0a99QpSzQkz74N/flV6PWyjNUJanVcNc9ri0GJM2chkFtIBAJoLZYyLp8KhmFC6gI9cO9dj2WEcN/8a4y46JQqwSK69xUO/2kxxgpjnK3RoXUulqEa3kGWqNbEa4VFE4UTkzhWlAjEkET8tJUL0/VNwTs6AN21IJIRFJhqt9L9NmTccz+jvNG23F88x1i9+5YJk6g/rXXkbw+1AkJGAf0R2Uy4Zg5E01SEr5R49lf4aDvJZcQffbZSMYo/v7dTi4clEHf5qiLFxYU8v6KfSx9YDwJZj1Of4grXp1L95xM3vnzKYAsSM9cU8QtE/th0KoRRYkL31pFtFHLVzeNQKUSmL2lkqc+X8yTfzqdSX1TqXHXcdfn7+INuHj8ootYXjOTbQ0b6VY9mK57vYys+wJT0M8roQtJizbw7LxCxnZL4rFvd2LUqtle4eCsV5bj8oc5f2D6Ic9fZwxNHopJbWRplJHx5esgNqfDNmf0SkY1E+bvrD4qwvXBzC2ZS6W7kjsG3iEvaNgr96M5CqXeHThkvjWAOrpFuHa0LovVy4UA7X47Ol0EyafB5Q8TEaVWJ/Hxgnv5cspvvAmV1Ur01Kk0ffIJsZdfjnXSJCxnnkmwpARdXl7r9sUba9m2qBxXox93U4BRF3XBmmA8zB5kHAEHf132V1baVqL3jcTivYQZW4OM7hLHfRO7HfqF3kZQqaGuCL65ATKGyFWotQftc/TdMOJ2CPtAUEF9Eez6Thayt32BJeCEgq/hmrlgsGIxaFsd1haDhms/2MDHa8qYs81GokVP3/RoXvqpiBijlufnFwKwfL+Tc8aeiiYrmw1ljVykMWBoDHLXyNv4aukGXC4fl31/GWfnnc2t/W8ly5p18NEc+Tz5DpNxrUSFKCgonGBIAS8AWvSotPL1T63TEwYkKYSAID+AKygoKCiclGiazRq+etkM1uQJMv6FJbxx+SBGdVbg7xhR6akEOGRxRkEQMGvNuIKuTtcfihV76nlvxT4m9Ukh1tT2TOndsAFj//6t9aiiBg+m4f33kcJhBG8tSCJYDxKuD3Rca6Mg5O10n43+RuIMcb95tnIoGKFgdRV5gxIxRbeZ5kSfj/KbbyFQtIfMN17np3UifRNlM9zfpvTqvDHbZtlMlPw/zDBXNctNYlgWsZEd1y2km9PRqXUEIm150/2m9uGHdwso+GolQ3+FcK1Vq8iINbKmpAFRgvQYIzFROuy+FuFaFqyr7PL/B84sUIozKigc3/zyuRe/AUEQJgmCUCgIQrEgCA92sv4aQRDqBEHY0vzv+l/WspqgRo4KCTXrRrqgnXB0FCZJLoxg9lQQff4FqGNjcc+fh2/TJszjxhFz/vkgCPi2bsVy2nhWrlwKubkk3HoLyQ8/zCdfzGDh2/dj9wZRmUwsLarlg1WlPDp7B5Ik4fKH+GBlKZ5ghE/X7gdgzqodvK69h4tL/8LyohrCEZFvPrgTe8mFzJ37XwDm7yjBarwXl+pO/r7wfWzOejbPe4TH4+9n1vLzmPjV6ZzxzWnUxH+KK20O9626mtl7Z3N2o45v/LN4RD0Da/ki/hOewtnjRvHQ5J4UVLu45eONrCtt5OGze/L65QNp9ARJsuh/9c2FVq1lVMZolkZFIZat7nSbOJOO4bnxzNvReYbXkfCH/dj9dmrcTXxXuIInV07ngaUPUuOpIRAJ8Prm1+kZ15OzcuVigzSWtBZmBFm4PlRMCICq2XEtHuC4jjXIwnVToAm9HiIR+YLp9ncuOAZK9hFxt3cZSAc5biN2O2IgwK8lUFKCFOncoRuy2bDddz/6Ll2IGjyYpo8/RpOUROI9dwPyDZo+P7/1pqfR5uHn/+7C5w6R3j2WURd1od/4Q+eZN3qCPP3Dbmbu/olLv7+UNVVr8VddQI50NQa1iTFdEnh12kA06kN8JRT+CM/mwvQseO8MMCfBZZ91FK1bUGtAb5GrbKcNhDMeh5uWwYP74fIvoXYXfPEnuZBJ9Xb5HzC+exKjusTz9A+72bzfzv1ndmf6BX3Ra1Q8OHM7OfEmpg3LYlOZnYQXX6Hykuvwh0QCOgPuRgcGk/z+JrumMS75Mn4u+5mzZ53Npd9fyucFnyMd5qak0u7j+g834GqOkmkRrjt1ICrFGRUUFE4wJL+PsFpCI+kRmr/r1c01EkQpjEpSokIUFBQUTmY0zWaNoEOeqVxY48LuDbGyuP5/2g+bW97/oYRrkHOuf43juqhGfm7ukmRm+gVtsR8Rtxv/rl1EDR3SukyXlQnhMKHqGjleAzo4rnXqFuFakqNCQl7oZJZmg6/hd+Vb71lXQ8Abpu/Y9s951U89hW/zZtKffw7tqNGUN3rJSzQfvjHbZkjqJTvE/1ccKFw3E2+MJ8mYhElrwqqztjquW8gelIpR5WevzUDE/etc9TnxJraW2wFIizESY9Ribxaoa5qjQmpdfsIRsV1UiKg4rhUUjmuOmeNaEAQ18AYwAagA1guC8J0kSbsO2vQLSZJu/zVtS4KagDZCtK/ti0xSN9EQ58XosuG0xGB2V/LPn5dx7eChuH9eAIBm5Gj8MXGYRo7Es3IldSkWRi88j4Ul93P6nX+jotHDeavuIl9VxbcLzuC88y7hi5WFPGp8lSWVo1lc2IXiWjeZUV9C+nY+X/NXbjw1D/e6Z7k2PZqscANnznwcW9cRLLaupFRnYnvtC4y2DefT1TdRbPSTGQ4zy/Yys2a9DKnwDQlYIm6G1Tdxhc9LVCiZ5LgUPPZNiJLAeG+I8NmvUBA7jkv+u52UWAs/jMtHp1bx1tK9LNhVQ//MGC4dkolKJfDFTXoEQfhNbuJxmeNZUPYTO4u+pa/nETAlIEkSNo+N5KhkNI4KpvSw8sgP+yiuddMlqe3iKElSpyPJvrCPzbWb+bb4WxaWLSQotl0gJFENqFhctppRaadi89hIDFzFA19v55TcOC5o2Isq99TW7evdQbomHfqC3Oa4bqvqHK2XneH2gJ1kg4pQRC4o6PCFMFSX4127lthp0wAI1day77zz0GVnkTVjBuqYGOpefBH7V1+T/cnH6PPziTgclJxzLtqMDLI//ghBpUIKBvGsWYNp5EgEjfwn5Zy/ACkYJHrqFABcS5ZQcfMtxF4+jZTHHgMguH8/ntVrUBkNNH78CVI4TMZrr6LLycFfWIQqyoja3PF4IxGRnz/Yhdag5vx7BxFlPbQLHcAVcHHTzM/Y4fgZTd1uEvUZRCpvppe1D5/deErrVLdDIoqw8Em5SOaQ62Qndd9LwJx4+Nd1hiBAtzPh3Ddh1o0w/YCCIH0uQpjwJP/q/X/snXd0HNXdhp+Z2b4rbVFvVrHlbrl3TDHYmGo6phOK6ZAKISQk8JGEUAIJLRCIqaGaZkNMs01zN+7d6r1u0UrbZ74/ZiVZVnEhBBvmOUfH0uhO25V37n3ve99fNZvLnyHH0k7RVgdCeTrPjxvLb7em8ddLZ1DrDfLqmgrWlbd0dkxS010EyipoDKtic01dBEvNLD6cdy0flnzIh6Uf8sfVf6TQWcj4NHV53NqyFlJsRvLieWif72rk0x31bK32MXVgEt72Dsd1f1EhmuNa44eBIAhzgL8BEvCsoij399LmAuAPgAJsUhTl4v/pRWp8K5RQgJgEetkAkgAySMb4ZLAcQ0DpPdNfQ0NDQ+MHj6x0Oa5prQegyq1GTO2sOzRn87dlS+MWMq2ZnVnWvZFgSDjojGtvIMJVz6/FZJB47sqJJJi66uD4Fi8GWcY6Y0bnNj3q/UeqKjE4muMn3L84ozruDUdlsMSF4Eg7GLuP3VqCLYedb60oCls+ryIpy0rGoK7VzoEtW/EufBvXT35C4pw57K5vRVZgYIq1v4NBzTcw9PTDupbDJu6yJhbpZngqSimiob1BNWfpjN2Ea1EUGDLGwcb1g6l992OyLz37oE+Xn2zl892NAGQ5zTgs+h5RIbKifr9vVEhUE641NI5ovsuokEnAXkVRSgAEQXgNmAvsL1wfMoogEdbFkKLqkhxBkWmwtlKREWPk7jUIQ6wICRJ/jt7HCud8nIDkdLJr+R9J+KSO/Pl/RTAaqfO9z9lZ6VxX8zL+4O2sWPo+s3X17JQMDNr0ACXTTmFIzYM8llvNhOBLvPNBOg3RWmrTVhMVBKZY/8qfX0sgZl1DTLBSrBfZkvgp5tqllNsMnJ10CouaPuTcJfPwmkTmyYO5PGMK1VseYofRAGIuE+c9yf3PrePiyAJWRgahP+13zJhSwCvP3E9q1cdsO/OPTJg4jZHAGzc6SbIZOjOef3f6cH7xxibumzsSMS5Uj889/BndGVkzEBFYYJY4fslN1BeexPvF71PmKyNBNDCl1ct00YFLvIGPttUryoN+AAAgAElEQVThsCayvmIpC3YtY7tnLS5xBKdkXoLS1sbyuiV4pB2067woAhgxkyLOoLjOQrJNz8lDhzJIX8DWyq0sDv6Lz6rfJeofwk53Gtvker5cv5nzTAEeWhelxreRKQVJNPiCTC1I6vP6RasVBAG5tUu4NuvMmHVm3EE3RrOLiGJGUAL4ghF0zz6H9+230ecMwHbMdNwvvogSjRIur6DymmsxDh2Cd+HboNNR+5u7yP33KzQ8/FeiDQ1EGxrwvv02jvPOo+6+P+J54w3sZ59Nxp/+SNsXX1D9s58BYMjLxTR0KA0PPIig1+P+96uYRoxAn5VF1S23IrfGO4KCQNajj2LIywPANKR7ZIeiKNTu9dDmDVO1o4XGilbmzB95QNH6hW0v8Nd1jyATw5RgRu8/g5Idk7EajPzt2jEHFq0Btr+rOqTPfQ5GnXfg9gfD6AtVN3btJkgZAk174Ku/wta3GACkW5NQkgoRYiEoWca4tjf4QNQj7LqdnIm3oBMFvt7bzNZqL0PTE8gOJlO9Zzfvb61FQsGswJrSFhyGCVw58krmDjyPOW/P4tWdrzI+bTyyrHDti+uYNjCJJy9RhezyFnUirGMZWYfjWlbUWXhx38mgdq04o8YPh4OZaBYEoRC4E5iuKIpbEITU7+dqNQ4XORAkKoFOMaDEhWtdh3BNTHNca2hoaPyIURSl03Gta2tCURQqW9Sx9s5aX3+7/leRFZm19Ws5Pvv4ftsdiuP6nve3UesN8ub1U8lydImniqLQ8tLLmEaMwDxmTOd2Q/0nAISLd2EdHK+NtJ/jWhAE9JKgrszU9y9cD3QM5HCoL/XRVOnnuIu7ahgpikL9n/+M5HJ11uIqblAF/IH9Oa495arxJmvcYV3LYSPGhev9zD5/mPYHIvGijUbJSCjafTXzqHPGsnH9CrZ9spesi+WDLtKYl9TlJs+0q1EhvmCEmKzQ4AsiCKqGX+sNaMUZNTSOIr5L4ToLqNzn5yqgt5CicwVBOBbYDfxMUZTK/RsIgjAfmA8wYMAAEERkIYosqAKTIdpKnR2+yZQ46au1pDesJZDvYKvBQDimLu8xT59GSHmNkD6KuW45mb+4lDXvnMteQxLvOgLIH7yCffub3JKWxlaTkYVVpWx99joqkrYjCVZWm40cH3sIv0HCIYtMsGTwiaOGn9f8lIfTzFxUcAY5jgLu3/AoAJflnMmvTriP5ieCrLAtZZrXyk1X/xuH1cSamjBZ1V8y+qZXSEtJ5uQT7FzwXjrJNgNfTcgDQeDcq25nd/0NFGU7Ol+H/XOlpxQk8dUdJxx2Ztb+OEwOpmcdwyfVX/KJfzts2M44x2DOx0Wxt4KvExx8Qghp8CMsKHmSf1SoH/aOKBSG0qk0bebl6o0A6IwKkwNBhvljFIZiDAoEuZrpXDJmMHclLUe/9XGo3wYoXD/qQu4WLcybdBVzhqhLt6o2fAyLQJ86iOW7Gnn7GzXrLC2x76gQQRQRExOJebt3ruxGu1qc0arOlCcqYdVxvXYtAA0PPYR51Ejcr71O4pyTSTzzTKpuvoXgtm0kXX8dxoGDqPnVr6i549f4Fi/GdcUVBLZupeGhh4n5WvG88Qam4cPxvvMOyDKtn36KccgQYm43Nb++E8e55xIuKSHrsb/jefVV6v5wDwpgzMsl8+WXEU1GBJMJfVra/rcEgCIrfPHabrZ+Ud25bdj0DAaO61s3isZkFu9dxsPrHob2YWRwMu9dfQmBiMA9i7Zx6qiMTqdxryy9T50Zn3w9LL8fUoaqhRf/mww7Xf3qYNT5sOFFyJmCoXBW1wy9LEP9FoSv/w7L/oh1+3u8aTORtraKZdEi9o6/mwSfHZsc5vHlxcwXjIxLt/OFt5mNlR4m5bt49osqPPVj+TT2KfVt9fjbrXjaI+xt6HJqlDepnfOOitP7FvGMyDJGcZ+ioFpxRo0fFgcz0Xwt8ISiKG4ARVEa/udXqfGtUMJBIhJIsqGz96czdEx+xhC04owaGhoaP1oUwBh/BljCXgKRGJVutW9c4w3ibY9gt+ip9gQob25j2sCuWMoGXxCX1dB35OAhsMe9B2/Iy6SMSf22s+ltNLQfuCvyny21vL2hmttOLGTcAGe337WtWEG4uJiM+//cbTyta98JAkR2rIWMdDUX2tpzpaleEolEZTUqBHoUaFQUhZZgC0mmvo1X/VG+rVldrDqxa4zo+/BDAt98Q8Z9/9e5Mre4UR3P5Pc3tusozJg59rCu5bCJ16oiFum2uWNVNKjCdTAa7Pb7xGQzGUkRKuoKqXnsabJuu+GgTpcfF++TrAbMBgmHWY+igC8QobE1xMAUG3sb/NR4grS0dYnlmnCtoXFk810K172pqft/IiwCXlUUJSQIwvXAC8DMHjspyjPAMwDjx09QAGQhRkRUHw7GQAvldtiVIQKqkORxebktK53/q93I6HvuoUr08rDHRouk4+ONj9Be9h+WWtTlR19bzJyx4+9Y9XVsNCUjoHB7cga/a/mEz6zp3DjqWqRgK4/teRVBUXh68h8Ykns8X71xIg+lgQkd1036JQ6jg9rWGso9pfz8+HsQBIELZv+OzS8MI2PCFBxWNabi7KvvojUYxW5RhbnzJ+TwyuoKLpiQ0+mmNumlbqJ1ny/yf0m07uCxmY/h9pbR/twsjJEwaaWfgiEB5vwJZcylbNv2Gh8vvxu30EZKNIE2eRTzlV0kta7BZ7Lz75xRiPYczsmYRLJzIORMJlqzCenFM/gy81loBjauggHT4ITfQMBN3qqneNExAI65EeKu1gGoEw63nT+HW+wD2NvoZ1Olh5lD+zf5SQ47MY+n2zan0Ykn5MFgU2fYU5U2/FU1uCorMY8fT2D9eirnX4fs95N0zTWYhg9nwDNPE21uxn7GGSiKgm/JEnyLF6PPzCTl1lsIV1VTes45NDzwAJYpUxjw7D+p//P9uF95BSklmZwnnyC0t5jKa69V20yeTMJJJ2GZMIHyiy5Gn5VF1qOPICX0vgTO7w7hrmvDZNWz6bNKdq2uY8xJOQybloneJGFz9hTwmwJN3LPiHjJtWSzfZKNa9wJyJJ1ozcU8fvNMzAYjZgP8bd4BOizb3oUvHlS/X/GYmuN8/vNqYcbvkuRBMOventtFETJGw3nPwfC58Nm9ZOoj7AqkcIn0MWWtaYjWfMzRELGYjM4sUZBgRvTB13ubmJDr5O1vqgm3T8GQ9BVv7XmLtNhcAMqa2zsLdZY1q58n9T6149SxrAxA3vkhrHwUrvpI7YAFtOKMGj8oDmaieTCAIAhfo8aJ/EFRlCX7H6jHRLPGEYMSChHVgRQzIJsECIHOpD5LBFkGzXGtoaGh8aNFURR0cfHOHm7F3R6hyh1AJwpEZYUddT6mFCTx5w938PH2ejbdPRuzQaI1GOGEh5Zz7bEF/PSkfoq8HyRr6tYAMCm9f+Haqrf2GxUSjsp8tqOe37yzhaJsOzfPHNSjjfull5GSkkg89dSujf5GhLZa9NZUIsW7YKICtrRex0EGnag+Nzsyo/cTrtsibYRiocPOuG4sb8WZYcVg7pJsmp58CuOwYdjP7jIUlTS2kWE3YTX2I+3UbADJAKkjDutaDpvOjOtIn02MkhFvyNtj+/T5U1l4/1pWLvcxe8gSEufMOeDp8pNU8T4z7qx3xPUWTyBCQ2uIk0eks7fBT503SEtbmESTDl8wqhVn1NA4wvkuhesqYJ8AW7KBmn0bKIrSvM+P/wT+csCjxj9UYmKUkBQXrkMeGtMEWi0CIauIsU2mOj0A2NhtaWXMpLFUfvxHyuJ5ViuMRo53b2JVbj4nDTiBLyqWscrhoUJvI9Xo4ubxP+XuFXdzQ1oaNsnKZSN/glVvJarosOjMTB2mxiXcOPZWHtj4KJcNvaKzCOAvp/+u2+UeW5jMHRfOZcagrllaURQ6RWtQReolPz2WIwFJlFTB+eQHYNVTMHoeFF0IpkQEYOSoixmZNha81TBwpioqKgq4y0hMzOR6XU9BVZc7GeY+AW9fA8ZEOPsZKLpAzTsGGHYmvHEZvHYxXLtULepXvkJ9uNqzEUWBwWkJDE7rO+es81wOJzF3S7dtDqMDT9CD0aY+yJIJomzaAEDar39N3b33Eti0Ceu0aZiGq1WYrdOmEQ5GWf7KTso2NzF4+nWktoXJuP5qRKsV05DBJF9/Pb4lS8h6+CEEnY60u36DYUAOlilT0WdkoM/IwHH++Xjefpu0O25HEAR0TicFHyxGkPoWgRsrWnnv0Q2E2rtE0clzCxg/J7fPiYqWYAvXfHQNVf4qorJMzBjBKNj4xei/MP28weQm9TMDvy9tzfDhLyFjDJzzDKz4O4T8MGzuwe3/XTP8TBh+JuWlLVz+9Ap+q7zMNXtfoqllKmIsyn+s97E1cifRdgsjs+ysKG5icr6LWm8QSCJFGs2bu95kqn4aoHZqq90BclxmKuLLIetbezqupZ2LoHod+KrAkasVZ9T4oXEwE806oBA4HvV5/qUgCCMVRek2U7jvRPOECRO0UcARhBIKEZYEpJgeOT5JbDCqE+qCIiMoEIlqb5mGhobGjxFFASk+d5kYbsPdFqaypZUBg5ZSWjKOnbU+JuQ6+XJPE+GozLryFmYUprCyuJm2cIw311Vx68zC7tF6h8GaujXkJOSQbk3vt12CIaHPqJClO+v51ZubaW4Lk+Uw88iFPeMRw+Xl+D//nOQbbqClIYwrU69ee90mQPVthWvqoDWxR751B3pJjEeFxMdZkfZuv28JqmPSw8m4VhSFhnIfuaO6nO2RujrCxcWk3nFHt7FkcaOfgt7yrUuWw0d3wakPqsJ12kjQ9R8z+V+nj6iQfTFKRoKxYI/taXl2Jp6Wz5oPRL558BWmjxqFPiur39NlOkzoJaEzEsZpUe+31hPAH4oyMNWK1SBR4w3Q0hYmJcGILxjVijNqaBzhfJfC9VqgUBCEfKAamAd0K+QkCEKGoijxUr2cCew40EE7JsNkYoT06sPBGPLQGF9t4kmOkdYmsCpTvbUvzWZmfPMfKtvWgUlAL+p52DoKt1xFWIxxesHpuHQW3ip+D1kQuGvMDZw16Cw+q/iMz6s+55djb8AWX/5z4/Tbu13LJUU/YUjqKMal9Z0VJQgCpxf1XRH5iGXUeX3nGacOU786EARw5fd/vKLzISENXAPBvt8DJ3eq6uh94Ux470awJMPm12HSdYfs8pWcTiL19d22OUwOqvxVGJITgDAugui3bVcF6OHDSPv1HVRcdTXJN1zfuU/tXg+fLNhOa0uQjIF2NnzRiMFxCeYPZZTFK8gY5GDaFfNJvvkmBEFAjsmIkojriiu6nTv9D78n+frruj1k9xetw4Eo7a1h9EaJ1pYgix/bhMGkY9ZVI4hFZUxWPZmFvbvvPUEP25q38eg3j1Llr+KR4x7nFy83kegs44kLZjHENeTAL1rQCzsWgWRU86wDHrj8PTV7eu4TB97/e2BMjgOzXsdC1/VcU5CM+MY7QCKFNony8i20uH28kPVnokE/1e+MJNV4HUNzM4g2ZrDFtZGG+pdJNM3GF4xS3OTHZBBpD6sidIfjel/hWqzbrH7jLgOzq6vzpTmuNX4YHHCiOd5mlaIoEaBUEIRdqEL22v/NJWp8W5RwmLAOxJieWHz8rjfFhWtiCKAuedbQ0NDQ+NGhALpO4bqdRn+IhlAZFukjEpP17KwbyaYqT2f/+Ku9TcwoTOGrvU0AVHsCrC1rYXI/9YgOREyOsb5uPbPzZh+wrVVvxR/u6bgORmLc9c5WnFYDD10wmmMLU5B6EdM9b70Fokhw6um8f98aZl89gsKJaWr9HUCfP5DgulJo2g1po3q9BoMkEo4qat0e6OG47hSuD8Nx3doSJNAaIXVAl3GrffVq9d6ndC2KUxSFksY2zh7Xi6C791Oo3wovnAGCCOMuP+Tr+NZ0Fmfse8xk0pkIx8K9/m78aQWUb6pnZ/Qc8hcuIffWq/s9nU4SuXJaHmPjsTAdZsHd9WpdqdQEE+l2E5UtAXzBKMMzEylubNOKM2poHOF8Z8K1oihRQRBuBj5CXVb8L0VRtgmCcC+wTlGU94FbBUE4E4gCLcCVB3t8UZBp07choQrX7kSBZKzsHNyEU7az1hUkQW+jDD+Rva+wMyGAkySOzZ/NB8Uf87vINMzCKiZnTGagYyBvliwizeTinMJzEASBe6ffy+LixVw49MJ+rkE8YP6Wxj7k9+MqzztGjYn4+C7152N+DifefcinkFwugjt3dtvmNDpVx7XdATTgIELCri2Yx49DkCQs48czZP06BJ3636FkQyMfPbcVm9PEOb8YR8YgB42VrWxZVkU0HMMT9LJnbT1lm5sYOC6V+lIvzTVtuDKsZAxykDsyiZxhTnR6CUGSuonWoUCUzUsraSjz0doSorUlSDjQ/UGe4DJx1s/HkphspjeqPQGKfZtYsP1p1tWvA0DEwDlZd/HVFjsN3mYen3cxQ1wH0UmKhuDfF0LFyq5tJ9wFaf/jZWSHiEEncsecIaQkmKDoccToCbD+t8jnvYrpo0qCW3xEMsbzZbGbs/xf8ZrNz27XteRVv8T5rmQmBz8io+gyXl5TTWmDD7ugToLZzXoaW0NQtZ5IwIfFYCIWDiA171ZP7C4HZ17XhWgZ1xo/DA440Qy8C1wEPC8IQjJqdEjJ//QqNb4VHcK1ENUREQUMkogYL84oKKpaEdWiQjQ0NDR+lCiKghTv1tpDQbZVe9FJTVz+aYwvx1ezo66Vz3c1IgowJD2Rr+OC9Zd7mphS4GJzlZd3NlQzuSCJ578u5V9fl7HkpzOwGA5ebtjp3klrpJWJ6RMP2NamtxGWw4RjYQxSl4v45VXl1HqD/PuayUwblNxjv1hMRonG8L6/CNsxx7Btgyp+N1X548L1ZnDkYrCMI7ainFhDJdKgWb1ew4GiQpqD6uLywxGuG8riQmteYue2tlWrkex2jEO6jEmNrSFaQ1EKesu3dpeBYwCkDIM9H0H2gV/X/zoHERVikAw9Mq47dxcFZl8/llfv+pyvNxjIkZUDuvrvOm145/cOsypc76pX3+fUBCOZDjM74gVHUxLUCXzNca2hcWTzXTquURTlQ+DD/bbdvc/3dwJ3HuIxAZCEGG5TCzmt5Tg8e1FsBvJt+SwpcnNsegUBMZ0bh1/Ok5uepEJfzSqznUlJEzk1/1TeK34PS/IaxqaNw2awYTPYuGPSHeQn5nc++FwmF5eP+B5mJX/MTL1Jdf/as2H8FQdu3wuS00HM7UZRlM5YDYfJQWukFdFhBxpIjYVIqK/CcskFnft1iNY7VtSy7KUdpOYlcvpNozHZ1IddSk4CMy8fxtq6tfz6k1vInlDApU2/YtfqOjIG2hk7K4nmaj+719Sx7Ytq9CaJzEEO7KlmElwmdHqRgD/CpqWVhNqiJGVZSUgyk1nowOYyYkk0EA3FiIRlCiekYnOaut2XL+zjyY1PUuat5OvSvWCswa5PYk7mlby/xoAYymHBDj1Qwskj0piUfxAdJEWBRbepovVZT0HWBDX6ImXoYb32/2uunN7l8hcT1U6d3NaGKSWdYDSM7aIF3HnvJyyLjeGx9icp2HgzK0S1Iniq2MJ063qWmNI5ftU1ZEbKcfInxucNwl+8Cp79LZfH5vJG4k9wuXchdESCuMugPe66kIyacK3xg+AgJ5o/AmYLgrAdtZjEr/aL+9I4wpHDYcKSgBCViAoKJr2IoOsQrtXPspgmXGtoaGj8KFEzrtXvE0Jhlld5yW8t4/S1CmFbMS8ntxKTZUYNkBid5+elL2S2VHkpbWrj8qm5ZNrNfLCllrPHZnHfBzuIygpLdzYc0srjtbXqIq4D5VuD6rgGaGn38Y9l9UzKdzGjMJknlxdzzKDkXkVrgA+f3IKvqoWiJg+22XMp+UwV4D318ZiPus2QUYTeNgV4h0ibhJSY0eux9JKgCtf6uCt6v6iQurY6AFIt/ddo6o3GCh+iJJCcpa78VhSFttWrsEyejCB2xZ4UN6pieUG8KGE33GXquO6i16BiBQyYesjX8a3pdFz3LVybJBOhWKjP3ycmmxlf2MbqvVmse30jky46+AKTHVEhe+KO67REExl2E1/uUd/31AS1H6Q5rjU0jmy+U+H6u6AjKkQUZFpNESaueIBWq0KiIZ2R2eN5sXULG8zqB9TpBafz5uaXWWCP4hdFThl+JpMyJuE0OnGH3ByTdUzncS8Zdsn3cTsa+yIIMPOub3UIndOJEgqhtLcjWNUOjdOoLhUKWdQ/96R4BWHLxAnd9g0Ho3z+711kDnZw6g1FGEw6GlqDLNpUy5XT8ij3lXLbstvItGVS117BohGP8/RPn+at3QtZsHsx5594JpfPP4/6Pa18sXwXtfVeqvd4iIa6xM2kQhOhoj1Es4xMzp+DTtDx1p63WFu3llPyT+G0gtPQi1355yuLm3lrfTle+1Osr1+HyzCAaMSKNTiXqtoJLERPUbaDBVdOpL41yPJdjZw9tv/sL3YsUjPEG3dB8Weqw3rM/ubKowsp/l7Lfj8mWxqKrCDFFCblu9jqPhFOn4yy4WXu3HsC8ATVioszdj7OI8YcCto2ICNxp/41GnMeZHrxvwA4UdzAZ7brGOEtVU9iSFA7gB351tYULSpE4wfDQUw0K8DP418aRyGxSJiwTgRZJCyo9TUE4z7FGUWIaRnXGhoaGj9KZLlr4tIWjLG12svgYAMAWTUeAvYwW6tjTC76D1+UrgDx1zzwkbrKdUZhCoNSbby9oZorFqwhLdFEKCrzwebaQxKuV9auJC8xjxRLygHbdgjXz67YwfMrfDy/ooyUBCMtbWF+dXLvUYlVu9xUbFPn3PcMuwRfLB+oJWVAAu76dgj6oKUERl+MIUUt5hj26zAl9CVci4Sjcp9RITX+GkySiSTTocen1Je1kpxtQ9KrInWkqopoTS2Wq7tHZVR7AgDkuCzdD6Ao0FIGA6apNanyjuF7odNx3X/GdX/CNUDRpcdQctNLrP9iLPnTW0kZcODaVwCJ5v2jQoyk27tWNafEhWutOKOGxpHNUSdcdynXMmGz6qhtsAukmNIYljqC2E6B92w2EiUr2QnZTMqYwQc1HyAoMDVrCjpRx+y82by+6/VuwrXGDwPJqTqNo24PhriY6TCq+dBtorpEyNIWI6IzYB7RPQ6jZreHWFRm/Cl5tMSaWLJ1CYt3bGRbYzkLa4y0KbXoRT3Z3qtIN9WwuvFpTnrrJFrDrchhJ/f77uflHS8jKzI1CTVgE5k7cC5n5JzJhtqNfFn1BZvbNyDWisg1Mg+uexC9qCcUC5FmSeN3X/+OpzY+RZo1DXfQTXZCNrv3FFEV3IAhsIp7pt7Dc0tSyJUV3rlxOg98tJMmf5j7zxmF1ajDaTUwND2Rfin9El6/FPQWSMyCabfCsb/6L78L/3tEm+oyiLW1dbrkA/4Ij1w4hkhMRnCYYdgZZC9YQguw0jCFm9xvMoMSHhcvYYg9ygXu1ymteJB8sQSvq4hhLZsZZPIxUiglanKhyyzaT7hOhqCn9wvS0NDQOMKQwxGiVnWAFkbBbJA6izSJcce1IivEZKXXPFANDQ0NjR8u+wrXCQGFGm87x7arfd78OhlxdBNyOI3jPl7N2M0Brrt4PV/usZJpNzEwxUp+spXUBCPNbWEeu3gs722o5rW1lbSFoliNOkqb2nBZDdjjQuLehlb+8XkJvz1tGA6LgTJvGStrVnJt0bUHdb1mnSo+vrx6L6eMLOK4wSn89ZPdzB2TyeicnrWBFEVhzaISrIl6knd+RHnmTOq/qKVgTDKJyWY2La1Ert2CCKrjOkMt/RFpk/oszmjQxYsz9hEVUu2vJtOW2bkK+GBRZIXGch+Fk7rO27ZqFQDWKVO6ta3zqsJ1hr37al3aWyDc2j3i8PvgIIszRuQIMTmG1Ed9K0N6GmMtu1geHcrKN3cytvQFJFsCGX/+U7+vryQKJJp0+IJRDJKIw6Inc5/XKsWm9ou0qBANjSObo064VuQu4Tpq1gExah0CGfZ8Ch2FAOwwGpiRNhZBEDh12Kl8UPMBBbbB2I1qBcf5RfMZ7Bzc2V7jh4PkVN3VMbcbslXnscOkdl48EQ96MYjYLlCaXkCRoXtV5YrtLegMIsl5Fs7/z+WU+8rRKYkIgoNqD0wvGElh9AQu2v5zEmnnT5kjWSVBQ+VZCIERZGaUk5yyikDQSLB2MqKhgcXiIt4reQcAuzCIq4f+lMuKzsIb8vLL/yygwtPCgrk3Mj5jOMsqPufBlc8RiQoUOgtZU/sNXstXGCwg+Y4nTTyWbTWr+b+zRmI2SPz+jIPIoa5co0aBTL4BUGDxz8CRCzeu6upk/QAQOxzXbW2YktQOUrAtQnpq93scm5PE5moIJQ+DzLNZ70vkoT2zGW6WGCctJb/sDdbLhewp+A3zWuYxJbaBoWIpgaSRJDjzVLd6h3BtS4V2LSlBQ0Pj6ECORInou4Rrk05CkEARlM6oEBGIxOQ+B44aGhoaGj9MlHitg1YzJARApI10fzwX2AsOyiExkSGf+3G0w4jQClZyDMcUJiMIApIAj144hmA0xrgBTiJRmRdWlvPZzgaGpidwxmNfUZhm4+0bpiOJAr94czObKj2Y9CL3nTWKF7a/gF7Uc9HQi/q9zvLmNnbX+4no1eeUIEb43enDyXSYuXBiDn0ZZ6t2uand62XiiBDWRe8QHDuL+voYRTNz8NS3I0cVWvfsxA6QXoSUkICUYCXcHlYzontBL8UzruPu7/2jQmr8NWTaDt5x3oG3MUA4GCM1d5/CjKtWI6UkYygo6H4ObxCnRY9Jv99z212m/vt9C9dSXG7qJyrEGI8tC8VCWMS+x6fJp84ke8GnlEhnkr5+DwmtFZjHjcV5wQV97gPgtBrwBaOkJBgRBIH0fYTr1EQtKkRD42jgqBOuO55GiqigmI1AiEY7DEwfSZ02DOcAACAASURBVK49F52gI6pEGZ06BlAzslwmF2cPO7PzEKmWVC4Y0v8HnMbRieRUReqYx925rSMqxBPyYCBELGZgxYAJzN1v34rtzWQNdvLirhco95XzxMwn+Ndz6/m99Dz3BM7H5TqFGVtuxCkG2J10Er+u+QybEKRa14Bv+Cls37mDE2UvC9qPwW86CYNOxNM0mzvmmnh7hZHPtgX51JvIzROclNYLfLNJnTF/9rMg4y+FT9YnsWPjPDLsJh675Rh+/uZ6tri/4PRxRl5aMojrX16PxSBx1ph+OkCxiLokSxBg0+vw3k1qMYwdiyFrHDTvgUsW/qBEa+hyXMv+Lsd10N+zgzQxL4kXqiHbZYJTnqdxay3s+YbtzTIfDr+di+of5u6WKxnsT+dYxcWY9q8YIFTRnHQaCc64UO0pVw9mSdYyrjU0NI4a5EiUiE79rAygYDJIIIkggih3F657DIA1NDQ0NH7QKLLM7sIL8CYmMfGbf2CXG0lpDaIIAoKiMDFWjiHVTmZ8iDWspJk1eXuZUTieSHU1UkpKt1zpCXkuUhOMvP1NFTWeAHpJZGu1j0c/3U2Gw8ymymYKcur59+oYp4y28f7e98k3HcdrK91cd5wLvSRS7Qnw+poKLp2SS2qiiZa2MPOeWUWtN4hkKcGSC2ePTyHTobqvBUGgL/Pt2kWlWBN1OBc/jJCZwWmXWKn79D0yLEkIabkAuMuqsFtTOh3W+tx8Io6xYO89htEgibSHo6o4Kxl7OK6r/FUUpRQd8ntRX6YWDkyLF2ZU861XY50ypYe7uM4bJGOf6ItO3PGow+9buO50XPcjXEvxSfVYGIu+7zFqwsknk/3Ao5TnnUzTvN+TtuWf1N//F6xTp2LIyelzP4dZTzldsSBdfy/gsqpGNs1xraFxZHPUCdddjmuFmN0K+Kh1CczOGIpe1JPvyGePe0/nQ8KkM7Hk3CWdH4gaP2x0HY7rlpbObR1RIe6gGykcJWYwsySlgIf2KeDoawrgbQgwYGoCf9jyT2blziLDMJYzY38hnzKeNzzI1s1vMlIsw33yU4ycfBEPL/4Gw673uDFxBVl7niFVctDcYuVnPMlJgxKpKJjHyoVvkfVuCUXuJEbkjOXxynye+bKExZtqybCbmDdxAI98upsrF6zl892NnDUmk/9sreOy59awo9bHL2adyy3HF+Kp3cCiTTVcNCmHBJO+540DFC+D1y9Tc8ySCqF6HeTNgNHz4MPboWoNjDgHCk/6bt+E74Fujmtrl+N6f4qy1L+P0TlqR3DgPoVMwgWzCF7wE7b94WNo8LM8NpqL3ctAAL9rBDjjborqDWBMBJ1Ry7jW0NA4eojKRHVGRCCkqI5rRAFBVBDiTjtREYjEtMGbhoaGxo8NWZZpN6cQsKh5zg7KSfXItI/Mx7qllEmRJnS+7QCITgfjy/ysPGkLx7supPiUU3FdfRWpt93WeTxJFDh1VAbPrygD4MWrJvHhllqe+rwYi15iSOF2anSvYMvP4VefZRLWRVi/pYh14d18trOB00Zl8Oine/CHory/qYaXr5nMb97ZSrM/zN/mjWFTg8SbtTBzWM9YkP3xNQWoLfYyuPFT5KZ6cp55GvPav5Df8BH88wkco+YDs/GUVsHwIjrUb31ONqHtO/o8rkEn4g3En5kGSzfh2hf20RpuJct2gNpDvdBQ7kNnEHGmqyJupLKSWFMTlgkTerSt8QTIcvQmXJep/zpzD/n8/1U6izP2HxUCEIwF+z2UzuViyKKFtK70s3FpDRN/fje1t97B+t8+zaR/3Yskib3uZ48XaOwoxNgRq+Iw6zHE99EyrjU0jmyOPuE6/qEi6BREVxK/vayB4gy4KyEbgEJHIXvdexmZPLJzn44MLI0fPpKrI+O6y3HdERXib6zF2GZGtplpE/T4gtHOnLWK7arQ/X7oVURB5PaJt/P5lkZOFjfgH3QGMUsqIzc/x678yxkyRS1k+MszxsMZ49WThPx8tKGZu9/dyLOWJzl+6/2MLPknp+mbqfM5uVnnRWp8m9GpZ3P1kvMBeOq8Qk62VyBkbeebvWFOGT6bv14whuOH1PDT1zdi1ktcOkXtbNwxZwi1ngBXH5PfdbNb3oLK1TDucgh64dWL1Fn1AVOgbgtMvh5m/Z+aYZo1Adb+E4674zt77b9PRIvasZP9fmz9OK7FeBXujn7NgCQLogCyArkuCzaTHqtBYm+Dn+XyGC5mGQBex3Bwxh0OtZvA4gJR0oRrDQ2NowYlEiMqGTAAAVnGbDCon2NCT8e1hoaGhsaPC0WRkUUdMSkBBXAoFaR4gZmD8dXWYympJVrbTNCiI+uC88l/5lm8vnXU/fufKOEwvsUfkHLrrQCsr19PfXs9Z4yeyvMryrju2AKOHZzC+FwnK0uaqfUESUrbSaQ9hTbJR2uskph/BA/OPQmjTuQ3b2/hvoodTC1I4tIpufx64WZmP/IF7eEY9501krljshjpCfLmexCl/6J+ABVb1CKTSU1bGfD885izbbDoY3WsFA1hXv8UJnEqbsMoOGZs536G7BxaP/0MJRZDkHquRNJLQtczU2/tFhVS468BOCzhurm6DVemDTE+YAmVlABgHDy4R9s6X5AJec6eB3GXgjW1q3Dk90VH9NgBMq5BdVwfCEN2NmNODrP5izre/EcZytDrAai97wvm/GwalkRDj32cFnVsmJaoCtYJJj02ow6X1YAYr+kR0xzXGhpHNEefcN3puIZEo4vPswUkBVLMavXhS4ZdwoikESQYDq7SrMYPCzEhASSJmLuraJ5RMmLRWUj8dB2xyHhkRyKg0OQPdQnX25qxuQx87FnEVaOuIt2aTvPOF3AIbShjz0MYcRbyCT9jiCO79xMbbZw7wcyizbW0TnwGyh9A8FWxPPVSfrnWwcJrxpC74QFOXPMM80zZyCkjmPPVuQieCm4FMEA4S0QUJ3JWUSoj172OQQnjjI0GMsi2yLw1OwiO+MO/eBm8PR+UGKx5BgQJkgbBFYvA1ksl7tShcNrD/82X+ohCEEVEiwW5rQ2DWQcChNp7dpAkQX395Li70KiTyHFZKG9uJy9ZFb9TE02UNrXxNSORRT2tMT1+czY44h+X4VZIHqRGsihaVIiGhsZRQkwmFh8ctssySXpJXd4sgNjhuAbCUU241tDQ0PixocgKiqhDEfTEJBO5bVUYo2ASm6gsSCdjdwkK7fjz7NgaXqBZUZhaasD7yZskJNiIVFay5KMneTKwhKqWUjJb4MGr3mDRzccwPDORmBzDatTx2vwp7Gmq45avN3D1yKu5dNhl/PKjJ7h46jmcNFgdZ43LdbK12susYWmIosAAl4UrFqzhlJEZXDJ5AKCuqgYIRAIHvLeSZdsxBtsZ/Kc7MI8aCZ/8HgRRLVJvz4IT78bxeAkeKQfyx3Xup8/JhkiEaH09+syeUY16Sex6Zhqs3RzX1a3VwOEJ197GdjILu5zk4RI19sOQn9etXSAcw9Me6SMqpBxc+T23/685iKiQjvfyQI7rDiyJBqafO4j6Mh+5w+xU3vsXdnEGr9+3hlNvKCItP7Fbe0d8vN/huAbVde20GNBpwrWGxlHBUShcxx8OOkiypYMfHIqps5BQUUrRYWVJafwwEAQByensFhUC4DQ6yFm6g9rc8fhEM1aCNPvDDEyBWEymapcb+wi1SNWk9EkAJFUvJYoO3cCZAIjOvrOzQBVBX50fr/Q89gkAjgdWz1aQRAFS/wT12/lz9bPgERGMCTDvVXAMgBWPYfjyfkgfClvfZlD1+yAZ4InJMOwMtShgyKu2nfFL+OR3kDIELn4DdrwPVWthzv29i9Y/EkSrlVibH0EQEEUBuZfl7qLQsRysS3AuSLZS0dJOtjMuXCcYKW1qQzHYaM2ZydclboyyAmYnGO3q+2B2qpMFWsa1hobGUYCiKBBVOoXrNlkmSy+BqEMQFUS5S7jWHNcaGhoaPz4UJYYsqNJA2JDAoCa1ALmr9mMaU6eQsEZtFxwbwawvQ7QV8pPPJaS2GF/cWMS0p1ey6bUnsJ03mifWjcS5bBPL0p/mxsv+RjgW5sLFFzI+bTy/nfJbVjZsQFZkZuXOwmV28q+zftvtWrIc5m7xF6Oy7ay8cyYGSeyMeexYUX0gsTMWk6mtU0iXa7BOOwciQdjwEgw9tSu72uLCkV5PxdbuRdd1yeq4Ktrc0qtwbZBEwh3PzP2iQqr9hydcRyMx/O4Qjn0KzIdLS5Gczs5IzA5qvapon7FPscFO3GWQO+2Qzv2d0BkVcuCM61D0wO75DkYdn82o+Pf2mXkkvPoXdsz6Pe8+uoFTrxtFznBXZ9vOqBCbjrr/uw/HBRdw20mFmHQSYvzvSSvOqKFxZNN7ENARjBwfXAmSQGqSWlU3SZ/0fV6SxhGGzunoVpwRoKDVQmJDG9aMBMKyFafQSrNffTjWFXuJBGO4U6oAGJkyEndbmAmh1dQ4x4Mpscc5DgUpPpOLpIfzFyBYUxDShsP85WqnKX0knPE3yBoPb16pCtEn/xluWAlpI2Dza1A4C85+GnQmWHSr6va96FVw5MDUm+D85zsLifxYEW025Da1wygIQmes0L50THB1OK4BZg5L48ShqZ3FyDqWkdnNeqpnPc1NkVvVzFdB6MqJM3dEhWjCtYaGxlFANIqggCLGheuOAoyiHmHfqBAFLeNaQ0ND48eIrEaFAIQNiQysU/vKJmuMtMQuV3OBuQpBBOuIPCS3D98AF39PXM3GXJhdnMA/03+Oc9kmFAEKnvuM9pCfhXsWstezl9d3vc7aurV8Uv4JWbYshrqGHvTlGXVSt8KEHcJ1INq/47pi0ddERRO5U/LV/be9oxZbn3hNt3bONAvtvjChQNeKTcGgCp5KpHfR1aAT+4wKqfZXY9FZsBvtB32PAN7GAChgT+0S7kOlJRgKCnq0rfWqon36/sJ1NAzequ+/MCPs47g+cFRIKHbwwvW+OOddiK29luNcm7Anm1n8xCa2fVnduVK/Iyoks7EK9yuv4F/6GacXZXLS8DR0kvo3pRVn1NA4sjn6HNcdYpROYGBGIWyDwpxx/e+k8aNCcrq6ZVwDFDSqczTmNDthnxmX0kpTm5qjVbqpCVEnsMO0jjwlj0RDIis3rWaqWEvpoPn/3YuzpcIt61Q39b5VofUmuPAVeO1iKLoQpqh5XfzkQ/VB3zFbPeIc2PAiZE88MjojRxCi1dolXIv7xArt2yY+V7evcH3ZlFwum9JVuCQtUe082c169HodCvt0Sp25ULc5nnGt0zKuNTQ0jgrkoDq4jUpGUMAfjWHSiyB1OK5jxNAc1xoaGho/VhRFRokL1wGjjZxGdbveGiNL2cUerLRbRBIT1OeJNd9E62oYdPUtXBV5hsEzh2J+dhm1P/sFuvR0/JefRu4Dz7HiH/fykmM187emsTspwr0r76XKX8U1qWfhfuXfOC84v1MgPhQ6xM4DCdfF//kGGEHhsUlqEfudiyFlKOQf162dI011OHvq2jujJgSDOv5Swr1nL+slsWuy12ABf0Pn72r8NWQlZHUT2w8Gb4N6P/aUfR3XZdhOOL5H2w7hOnP/qBBvJaAcGWNFKS43HYzj+jCFa31WFrbjjyfwzqvM/fAqPlqwi+Wv7GLXqjpGn5iDsSrAxKAO94p6mgbPQ66NkBzft2mvl/FBSSvOqKFxhHP0Cdcdjmu9iNOkLpfJtfcf4aDx40JyOgnt3dttW3ZDFFkAS2YKyp4YyUI7zf4QiqJQuqmR7CFOXvN+wzFZxwAQ3PoBAOkTz/rvX6DO2Pv2xAyYv6z7NkHoEq1BLbS4n0NAQ0W02ZD9HcK1QG/9j96iQvYnNaHLca2LF0WJdkQUdXQAzU5QZE241tDQOCqQ/X4ANSokCq2xGObOqBA141oVroWuZc8aGhoaGj8elC7Hdbs1AakBAlYRUacgKl4CWVmIGRYEoQocA7DbPPD7u3FMyuVnL6wnZvOxW6cj2thI1l8fZuCcOXzw5itkPbeI+wBzGE4UBN6a1ogrQ+CExz+g3ttKuKKc9N/85pAvVxREzDozwWjfUSGBLVuo81lwprZhfXuemkM97RaYfEN3AxHgTI8L1/VtXcK1Pi5cR/oWrvvKuK7yV5Ft66M2Uj90CNeOuOM65vEQa27GmN+L49qjtu3huHaXxm8q75DP/18n/jd1MI7rg8247g3nJRfjX7qU0LKPmXvbXHauqmXFwmKWPLMVgOPRUx20I6RNorZBT3BJGZFgjPVLypmJgUgvtZE0NDSOHI5a4VrUi2TaMjHrzIxIHvE9X5XGkYTkdPTIuE6tDlCbJJLpsgMtZOvDNPvDtNS04WsKkn+cnZaaFkYlq2lZadUfUyblkZfas5OgcWQiWq1E4k57QRB6d1wLPR3X+5O6j+O6o2BHp5uiU7h2QdADKCDLIB51qUsaGho/IjpWo8QkI6IiEJKVfaJCFKRYjAhxx7VWnFFDQ0Pjx4csd2Zch0w2AKKJAnWmY0kNfEXRnRchVK8ATx4MnIm4ZSHOqxehLP0TG9vOIDf6DfYZ44gpCSSccgqCIOC75UKSfvcCdUNTOOWOx3G/+hrnv/MOoGAcmonp+CG4X3wJy8SJJM6adciXbJJMfTquw5WVlNz4U3zD72SMYx3ozXDTGkhI67V9YrIZQRRw13fFfRxMVEi4l6gQRVGo8dcwOWPyId+Tp7Edk02PMR5vESqNF2Ys6FlosdYXxGU1dMYddtJyJAnXBy7OaIybusKx3icIDgbrtGkYCwtpWbAA+1lzGTYtk4Kxqbjr2jDb9JisespmHku4Ncjeabew6l117Jacl0BTWSvRlsNze2toaPxvOPqE67iNUtTrsBvtfDXvKwzSoS8v0vjhonO5iHm9KLEYgqQ+yJ1VHtanKOTYbEAL6VKMLf4QpZuaAPCkVUINjEoZRcWezQyP7mDNoNvI+/5uQ+MQEa2WTldhX1EhgiAgCiKxfrKpOzKuHRY9Bl3ccd0hXDvy1H8tLgi1qt8rHQvsNTQ0NI5MOoRrRTQgGeLRWXoJpI6M67gpQMu41tDQ0DjiEQRhDvA3QAKeVRTl/v1+fyXwIFAd3/S4oijP9nvQfRzXYWOC+m9iAgvLfsbxKSmM8G6Gxm8osV5CZclYjgv9C1pK8Gxdz9etN9MsjuLEMR+qNXzibuY5J1zLL/64k19P+jVm11BMo0ZhnDCOQGkJmTffiiCKhEpKqf3NXQQ3bUIOhrBMnnTQIrZZZ+5VuI4Wb6Di6pupSxiPIojkRd6FOXf2KVoDSDoRm9NIa0uX61fsEK77iAoxSAKRmIyiKAj7FGf0hDy0R9sPuTAjgLehHXtKV/RHuLQMAGN+L8K1J0B6Yh+FGSUj2I6A+kedxRkPwnHdj3v+QAiCgOuqq6i9807avvoK24wZGCSZlCQBKdFCaO9eZI8HnShS1LiI4Xc+pb7nWRYW/mENMffhi+YaGhrfPUed2tIpXBvUB6smWmvsj+RwgiwT8/kAiPl8mBpbKUsTiFjUP3mnEKPZH6Z0UyNp+YlsD23GKBkZ7BxMzecLiCkC+Sf85Pu8DY1DRNqnOKPYR1QIqDnXCn0LM/sWZ+xyXMfdFNnjIW+GmjEeL/SoFWjU0NA40onFJ/UUwYTOoH52mfQiiDpEUekSrtEyrg+VcFU1TU8/05kjrqGhofFdIgiCBDwBnAIMBy4SBGF4L01fVxRlTPyrf9EaQFE6M66jBlW4ViwuAGrEqbBrCfjr2dwwnq3bbXiimbDrP5RXWQEoD41DrtkMJV2xh0nmJJ6f83xnEUZBEEg69zyyf3k7osmEYDCQ9cgjSImJtLz4Ep6FC6m+5Vaa/vGPXousg+pADu7aBYBJ19NxLTeVU3XVxQSb/ZTnnkCGaQ8ZmQpMuvaAL4HeKBENdz0DO6NC+sm4VhSIykq3qJAafw0AmbbMA55zf7wNARyp++Zbl4Bejz67Z+xIrTdIpqMP4dqZe2SsCO2MCjlwxvW3cVwD2E87FV1aGs3PPkekpobSc8+l5LTTifl8tK9bB4Bl/HjklhaGTE5n0PhUbA4jQRRiHk241tA4kjkCPs0OjY6HmGTSBGuN3pGcavZ5zO0BIBTv3JSnQkCnLuFKIIbfG6ShvJX80clsadzCMNcwdIjkVi9im2kcKVk9Z7Y1jlxEq5VYXLhGEJD76PCKgthvxnVaohG9JJCaYOrMuO4UcsxOuHIxuPIPKrNNQ0ND40igc1JP6HJcmzoyrgWQ4hNwImgZ14dAMOBn23VX0PjII1TccANye/uBd9LQ0ND4dkwC9iqKUqIoShh4DZj7rY+qdEWFKJIaFSKZ4sK1fwCEW4kpOuobVVG1ODwDVjxGWWg8ggCBoESDfgos/SMhf4iK7c3dDr9jRS11Jd4epzVkZzHos08ZunkTQ1avIvGMM2h89G/U3vVbwlXVne0URcH9+huUzj2LisuvQA6He2RcK8FW6q47i0A9eM69mYBiZ5rtBYTTHupeM6gPdHqRWGQf4fogokIgPk7QW1VxNhqmyl8FcMgZ19FwDL87hD21y3EdKinFkDsAQddzoXytN9gz3xqgYTukDDmkc39ndDqu+xauTZJ6D98m4xrU98t1+eW0r15N6TnnEqmtI9rURNMTT9C+dh26tDTMo4uIud2dmpJOEmmSZBRv39enoaHx/XPUCdcdRkmdUROuNXqnS7hWc66Du3YDUJ4qEBBV15lZjpHYrAqOOaMc7GjZwaiUUexd+xEZSiPtwy74Hq5c49sgWm0QiSCHw4hC71EhAJIoIct9CzMWg46FN0zjoskDMHQWZ+yt0mOH41oTrjU0NI5s5DZVUJUwIer3Ea4lPYKooOsQrhXNcX2wLCldwlM3H4upuJpPxgi0r15N5fzrOicJNDQ0NL4jsoDKfX6uim/bn3MFQdgsCMJbgiDk9HYgQRDmC4KwThCEdXIshtLRt5XiUSHGJAD8bXpaY8nUK6OIRtVYjeLocYR9XmrDIxg2PQNBFChLuwmq1/Hlk4tZ9PdNnUJ1S00bS1/awSf/2kaso45CNERk+ydqrZiO6zEYyPzL/SRd+//snXl4HFedrt9TVb2ptbU2y5a8Sd7jNfuekJVASEhISCCBMOzLQAbCwDB3gDthGGYCc5nLOsDAcNkTQkJWEgJkcRLiOJu3xIsk27ItydqX3rurzv2julstuVtSyy2p2z7v8+SRu7tUdart1DnnO9/5fh9k6P77ab38cg6+570c/tTttL/nvXR9+cs4FzZiDg3h/8tfEo7rIGz5AfK3H6T3w+cxtCuM94areX1gBU0ba6n/56dh6QVT+mJ1h0Y8NmpuEZNEhTiSBpe4BGfCJR0LcMRvC+65Oq6Hemz3eLpwHd2/P2NMSDAaZygUY36FZ+wH4WHob4P6DTlde8ZIGX2ym4aSjuuIefw505U3vROtvBzh8bDk17+i8sYb6f/FL/Fv3kzJ6aej+6qQsViqr9Y1QZ8ukUOxrC5/hUIx9xSdcC2lRFgmhtsz+cGKkxKjKilc24X6Int2Q0UZA6XgF/YAymlarPILqhq8HNJbiZgR1tesx7/l5/ilhzWXvmvO2q+YHprX3qpoBQKIiaJCJnFcA6xvrKTUZWDodlRIPJOQkxyITVDoUaFQKAqBZP6/jhthpGVcaw4QYKiokCkT3r2boYcf5pVv38kVz4eIvPVCnrt1HT+/sZrgSy/R9//+31w3UaFQnNiIDO+NH/U+BCyRUq4H/gRkfDBJKX8opTxdSnl6soA5QEQvByBozEMz7Mt1WhvpcF4KAjZctpCe4Hx2ha7AQmflWfXMb67gwNE6Bhbdwt62CgBeeKAVgJce3Y8mBMO9YV5/1o7ReOX7P+XH3zLp+vn/tsXriB8e+jvEs/+HujvuYNmf/0TNJz6BOTJCpK0Vc3iY2ts/xdK3jmB4LQZ/8RM8uodQz24Gv/tlWu96jt4XY5SdvZb2DR8iHrM4++1NU3JaJzEcWuaokCyOa0eiP42Yph0VAhAN0uHvoNxZTlkicmWqJIXrZFSIjMWItrfjXNp0zLGdQ7Y7ef54x/XRXfbP+nU5XXvGmEJUiKEZaELLi3Ctl5ay9L77aHrg97iWL6f203+H5vViDQ9Tcsbp6FX2LgKz3za46ULQo1uIqEVwWMWFKBSFStEJ10gQMo7DVTL5sYqTkqTjOp4QrsO79+BYuRyEYEja73UNr6DW0mg6bz4/2vEjKlwVnFd/Nsv7n2R7+UWUl1XMWfsV00Mrtbc1Wn4/QoisjuvJMq7TSWZcRzMVK0sO8JXjWqFQFDhWIClcuyDdca1pCE2im0nhWtjOMUVGQtu3s/8dN9Dx2b/nukcHiDbWsvATX+Wagx+l2zif/esuoOfXv80qcigUCkUeOAykO6gbgY70A6SUfVLKpAr4I+C0Sc+acHw4XZKoKKX2VD8jRgMNyytxuHU653+AI8YFVC8o5ZTzbSfxi/6bcLkk9U0VLF5XTd9hP0/33YYuopxWv5kjewbZ/uRh9r3czcbKP7Kgooutj+6n9Zkd/HVXMyZOnn1pPvL3H4cfXUL3C8/Q9/hP4eDzOBYsoPZvP0HTvb+h+eGHaXrwAWqWdyO6t1G5QhB4aTs1e19j/ZYBOl/0oS9eS+P3v0f1d37Jrmc7WX5GHb56b05frO7QiWeKCsniuHalIgWlHRUCEAtyYOgAi8oW5XRtgMFue3dUsjhj9PBhiMdxZnBcd6WE63Fmvq7t9s/563O+/owghC1eTxAVIoTApbuIxI9fuAY7fkYvtxdfDJ+Pus98GjQN79lnjxrcEsK1lnBcg70zQKFQFCbFJ1wDmmViKOFakQW9shKwM66laRLZtw/v6rUYmkFXuBNDN+mOLMMvLA5Ut/Jcx3N8cO0HiR9tp5QQ8YXnzvEdKKaD5rWfCbbjmqzbvTRNw5xiQUUhBIYmJnZcq+KMCoWiwLGGhzA1iW65AACKlwAAIABJREFUIOGe8ySyroWmjXFcq4zrzFihEB2f+zxGXR0v33ULt3/EoPHe37Dl8Q6Gd8HGjkvYX30zm1fcwfPfeoxYVPUNCoViRtgKLBdCLBVCOIGbgQfTDxBCzE97eQ3wxlRP7i1L9BHNOiPxWirqSqhvquBIbxVdR6BhRSXlNR5qF3qJSw8L19ah6RpL1tUAcKQ1wPrTdE7nu5Q6h9l8914MEWGj8x7O1v+T0HCMx37VQ7XjMBdcW8/R2EpatrRzoHc+vxv4Og8OfoXo/XdANAjPfB2+Oh9+eSNs/W949ptw6nup+PJvAMF5f+jjbU9qeC84nyX33E3Zm97Ermc6iEdMNl2+OOcv1nCOy7hOOK6tbFEhif40FrdGo0KiftqG2miqPNYlPRlD3SHcpQ5cJfZ1o/v3A+BqOla47hi03dnHOK47t0NJNZTNP+Z35gzNMaHjGuy4kOPNuM6G7+abWb75GZxLlowa3PoHUp8PGkq4VigKnaITrqWUCBnH6cltBVVx8qB5PAiPB7O/n+jBg8hwGM+q1TSUNnB45DAul9057Xb5+VXrD6jz1HHzqpvpa9kKgGfx5KYEReExJipEiKwJHrrQsXKI93DoWpaMa1WcUaFQFAfWyCBRJxiWE5mIQHIZySxTMVqcUWVcZ6X7698geuAAC772rzys7aR25Xr0QAX7t/VyavNuNix+L/ed8g3KA628ts/Lc7/dN9dNVigUJyBSyjjwt8Dj2IL0PVLKXUKIO4UQ1yQO+5QQYpcQYhvwKeB9k51XJAwfZT5bNB2INxCJuyiv9jC/uYKBriDxmMWCFbZBqOnUeQApwdpXX0J5jRuHW2fTzZdg3PB9Tvf8CoD1JX/A854fMf/Cy2hy/RW3GOYtbw2w9srVVDeWsjn2GR7r/TvKa70EzQpePbQBvnsW/OVfkEsugCMvwyN3gG8JXPk1nKs2UnLGaSxu0emqmc8z897H1kcOEIuYbH/yEItOqaKmsTTn79YwxmVcGwZoWvaokPQi7omokJFgHz2hHpoqpiNcB6kck299AADnkiWp98Ixk5cP9vPU3h6AY4szdm2H+vW207lQ0B1gTjxfcukuoubMRXUY1XZeeyoqJFELCyCiCyynRn+Hf8aur1Aojo9jy9MWAZplKuFaMSGGz4c5MMDIE38CwL1qJY1HGjnsP8xpbo1IKExH1VY6RnbxxbO/iNtwEz/8KiHppL65QLZWKXJC6IlK6HHTzrjOFhUyhYzrdAxdZBZyVHFGhUJRJFjDQ0ScoJtOrIRlweO0n2FCExiJibrKuM5MYMuLDPzqV/je+x7865ay695d3L7+o7z66z9jaC7WD30VxwUfYrDrEVyNj1B9EI680APeb8Pic2HTLXN9CwqF4gRCSvko8Oi4976U9ucvAF+YzrnLfE4gxtHYCgDKa90pBzDAguW2cL3mvAUEByMs3VgL2LsUL751FVZc4i51wNp3sPo2D+JXP2XZNVdB8yWw9CKuGPoQ8Z4/47rsD6AJzrthGQ/+52tUN3h5+6c38czde3n15Xewuv8p9jb+iFdfq+fN71/GwtifYNE54LIF6ar3f4Cjrft5bf1HKBuMsfWRA+zZ0kVoJMapV+TutgbQnfoYxzXYcSHZokKSRdwjcSsVFdI2bLukpyVc94RoWOFLvY62t6NXVKBX2BGWA4Eo13//efb32s7gDY0VduxXkngUut+Acz6e87VnFE2fdL7kNtwz5rhOx/CNrYUFoOsCs1Snv1M5rhWKQqX4hOtExrXbk/sqquLkQff5CGx9kaGHH6bs8stwrVpF41AjO3p2sGpjCfrWn3BPRQCn5uW65dcB4OndwW4Ws6Eqt0IaigIhkUeNtBLFGY8/4xpsN0Vm4VoVZ1QoFMWBOTJMKCFcmwnHdXKyK3SBYaYXZ1QZ1+nIaJSuO+/E0dhI3ac/zc8e/COrj57DGS+9xvP7lrO26nk8l3wSLvwsyx7dw+PnuLn69SMciq4h9vpjOLbfDetuAMM117eiUCgU2ZF231Ba6QICHI0tB6C82kPlvBI0TeCbX4Kn1M59Lil3cuG7Vo45xcJVVWNea2vewpqvXDXq/tV09Jt+gm5ZoGmp37n205uoaSzF7XVwznXNtL3Ww2+G/otYj4XhtHj6noPc/KVbMBw6Lz16gI59AzSsXMrWN/8Drk4X19yxkf6OAJvv3kvdkvKUKzxXxhdnBDsuREYnLs4YMy1IxJi2jbQD5BwVYsYs/AMRymtHHdexQ+04Fi9OXeNjv3yZI4Mh/vOmjZy+xEdD5bh86949diRHfYGZsKYQFeLUnXnLuJ4IUVKCcLnGRIXomiBeZtDfEbB39xeSW12hUABFKFxLBEKauNxKuFZkR/f5CO/ahbOpiflf+xpCCBaWLWQ4OkzzW6upeP0RTNd6KvRGHJoDLIu6wF62uy5mk6Y6q2JE6LYII00TIYysenIuGddAIuNaFWdUKBTFi+UfIeQyEFLDTDquk8K1pqGbo47raFwtxqXT/7OfEW1tpfH73yMQEgSeLOMibuZZQAiLDZ/5PNTY4kGdaylPdz/NOaIGKXT+LfpJvsiX4eguaDh1bm9EoVAopkCpz46eOBqzRenyWg8Ol87aixrwzZ/GjudMIqA2Nq20ceWoy7isys3pb1nCa0+0c9ktqygpc/Lgt17jtSfacbgNtjzYRqnPxaE3BgAvzzT/kg8tuYAFyyppXOXD6TamLTwaDi2z4zo2seM6ZspUVEibvwOH5qChtCGna4/0227j8urR6I/owXY8mzYB8M8P7eKFtn6+edMG3r4py7k7E4UZC024nkJUiFt3E7FmQbgWAr2qKlWcERLCtVcnGjbxD0Qoq3JPcAaFQjEXFJ1wDSCkSYlLuWIV2XHMn4/m9dL4nW+jl9qLHI2ljQAcsaKUC42Ac4Rqyx4M0N+GRwYZ8p0yV01WHC/JQbBlO66tLFEh08m4zuhAVMUZFQpFkWAFg4Rc9kQslpjPux2JZ6auYSSEa4fIEo10khLr7KTnu9+j9JJL0M8/i2//4meUsgzzzBc4dedRys59B3GPztcefYO/tvWxO6jhmudn2Tof2wahJ7wQ3BA7/CoOJVwrFIoiwFPuRjMEwbgPV4mBy2OPdy+4acWsteH0q5Zw6pWL0RJmouZT69j66AEsU9K0sZYrP7yWsD/Gva/8nj0HXyQcD+MxPFTWlRzXdQ2nhmVJLNNCS4jSdlTIxBnX0fSokHA3SyqWYGi5ySxJ4TopmspolFhnJxXXXsuujiF+8UI7H7pgKddtasx+kq4d4CiB6uacrj3jaMaUijPOhuMa7LiQeFrGtS4EkRKdMmDwaFAJ1wpFAVJ0xRkhERXi9kx+oOKkpe7vP0vTgw/gahrdptVYZnf0h4Od9JfVE9ZNRMwuLBI78goAsn7D7DdWkReSjmssyzZ3ZIsKyTHj2pE141oVZ1QoFMWBFQgSdNtRFSnh2jg2KsQQQjmu0+j7n/8B08TxmY/wzoffycDuGFZ5mI+Wt3B+/UOsv+5c7rjnNX787H7cDp23rzkDAGO1B92McK6vmkHppWfvljm+E4VCoZgYkYgK0V1OSsrsOJDymrmbb2tpO2DPv3EZhqExv6mCy9+/Bk0TlJQ7KWuws7dD8VBerqkn+sV4muvajgrJ4rhOjwpxJqJCwn3Tyrce6UsI1wnHdfTIEbAsHIsW8tC2TnRN8LGLl018kq7tMO+U0To8hYLuAHNy4XomizOOaY7PhzkuKsRMfGWmGgMpFAVJ8QnXEpAmHpcqzqjIjl5ejqNh7Daq5Jatw/7DtJXblYVjoToARtpeIiINKhavm92GKvJHIrpDmhaaJrCyRYUILWv+dSYMXSOe6WSqOKNCoSgSrFCEoMsWrqNC4jS0lCggdA3NUo7r8Ugp8T/5FN5zzuEHPffTPdjLIv9qTj2jGee+P8GKq7h/WxdP7unhH9+ymns+cg5fvOIyAFrr4nj9R9AGorxOE7Lj1Tm+G4VCoZgautOJJyVcF4bztNTn5pY7z+HaT2/CcI6Ksh7DFtbzJVwbTnsukZ5zLZwOZCyb49ruR6OmBYaHsNA4Eh+ZnnDdH0YI8PoSi8ztdla2Y9EiHtnRwXnLaqjyOrOfwLJsx3WhxYRAwnE98XzJpbtmpTgjkDEqJDn0kVl27CoUirml+IRrBBBXwrUiZ0qdpfhcPg6NHKLFY//78Y/YRUSsjm3slotomueb6BSKAkboyagQE6GJvDmuDU1MHBWiijMqFIoCxwpHCDoSk2FG862BMVEhhtCIquKMAEQPHCB26BCxs9bx+32/54aS25AmLKk9ApEhhhZfwZ0Pv85pi33cdu4SAMqcZTSUNrDN3UNZuIvBYRj2nUJdqA0rOjsTcoVCoZgeCcd1unBdXTg7nEvKnejGWOnCbdjCejien+ernojQisdG5wl2VMhkGdd2sckDnlIkTEu4Hu4L4fW50JPxIwdt4brFqORQf4ir18+f+ASDByEyDPUFaMLSHJML14aLiDlLUSFVPsyBUce1JgQm9thHTesUisKkCIVrQJo4nao4oyJ3GssaOTxymFbDwGtZ9A27CYRjlA7sYqe1lKU1akGkaEkVZ7SjQvKVce00NOKZHIiqOKNCoSgCpGVhheNEnLZwHZZyNN+aRHFGC6SwMASZn3cnIf6nnwbg15V7MDSDUwJn4yoxmD/yB3CU8KWdtQSjJv/+jvXoaVvaV/pW8sbgHipL48QsA++Cc3EQZ+/OF+fqVhQKhWJSRGLYrDs0SsrsCI5CcVxnI+m4DsaDeTlf0nFt5hgVkozYanPbcSFNldOLCknPVo4eOoRWUsLD7SEcuuDKNfUTn6ArUZhxfgE6rnVjSlEhsyVc674qrGAQK2Jfz9AFyWljtvmjQqGYW4pQuLYd1w6jsDtSRWHSWGoL121EWRaNYZhhHn7mr7jjIxxyL8frKsp6pQps8QUAaRdnzBYHknfHtSrOqFAoChgraG+hjiUc12GsMY5roetoZlK4FsTVpA2AwDPPwJKF3D3yFO9e+W66Xvez+JQqtH2P0FV7Lg/sGuD2S5ezrG6skWJl1UoODh/E12gLGL6ajQDs3/HcrN+DQqFQTJ2E49rQ8JTPfcb1VMi349rIkHGtOZwTRIWkOa6BNqcDDVhSviTna4/0hcc43KPtB3EsXsQjO7q4YHktFSWOiU/QtQOEDnVrcr72jKM5Cqo4o15l77BOxoXoQhBPzBtziZNUKBSzR5EK1yaaKMKmK+acxrJGOgOd7IsN0RyL8eZFkt1bHgNguEoVZixqtGTGtYkQIutWr+lkXKvijAqFolixAgEAYoYtXIcsC3d6VIiho1lgCQtdJLI6T3KsQIDA1pfYvaoEj+Hhau+NhP0xltQchuEjfLNrA6csKOfDFx7rqlvpW4lEwhIHSAt/l8SvlRE/rHKuFQpFIWML15oh0jKuC1u4znfGtZ7JcT1BVEhSuE5GbLUZGo3ChVOfIIs6A6ZpERiMpAozAsQOthOomU/HUHjymBCAzu1QswIcBfh3pjvALJyMa6PKjgqNJ4VrTWClokKUcK1QFCJFp/5KQKIcjorp0VjWiClNBs0QTdEYH1jvYkP0VXpkBY4Fa+e6eYrjIem4tiyEln3FPFfHtUPP4kBMFmfM4VwKhUIx21gBPwBx3Raug1KOEa6FriFIOK4RKioECLzwAsRiPDKvi4sWXsShl0ZwuHQW9/2QAaOO34c3cdcN61OiRTorq1YCcKgBPKFeelr7GKlcw+LIXtp6/LN9KwqFQpETuqHRfGotp791CRW1BSiCpuHR7fblS/A0khnX0bSM6xyiQlp0QRO5idYAgYEIUpISrqVpEj1yhH1GBU5D4/I18yY/SdeOwowJAXvONIXijFEz8/ecb3Rf0nFt51zrmiC5uVYJ1wpFYVJ0wnXSca1QTIfG0sbUn5fFYpxS6udiYxebrXU01ZXPYcsUx4tIZVwnHdf5ybh26FkyrlVUiEKhKAKSjmszIVz74yYlzrFRIWAL17oQxFVxRvxPPY0scfPSPD+Xzr+cfS93s+wUB872P/OD0CW87/xlnLKgIuPvNpQ2UOoo5SG5jdLAEXq7Y+gNp7JKtLPncN8s34lCoVBMldGokPJqD2e9rckudl7AeBLu4lAsP45rw3FsVIhwZo8KSS/OuPnwZvZrFmeRe5zpSJ8tvCczrmOdXRCL8dewh4tW1FLmniQmJNALIx2FWZgRphQV4jbcmNIkNslx+UD32Y5rc8B2XGtCYCYMT5Zau1coCpIiFa7V1nzF9GgsGxWum6MxxL4/UimH2GyuY22DEq6LmpTjWiYyrrMclnPGtZbaAjgGVZxRoVAUAZbfdvlami1c94SiVHlHHWEikelpCRMdFRUipcT/3LN0rqrF4fRQ37WceMRktetxYpqL31iXcNu5S7L+vhCCj274KFsGXsMReoVgzMm+/gtwCpNQ6+bZuxGFQqHIiYRw7SgeeSDvUSGO3IozOnT7OwvHIvz71n9niTS4ycrdpT6cFK4TjutY+0EAdmsVU4wJ2Wb/rC9Qx7XumFJxRmBWXNdGMuN6wHZcG/qocK0yrhWKwqR4eqYkQkWFKKbPvJJ5GJpBiVHCPKMUdj8CwD984qOctrhqjlunOB5SxRmtiR3XuWZcO/QsW+eV41qhUBQBScc1mgvNEPQGotSUukYPSDquUY5rgNjhw8Q7Otk8f4jzG86ndUsflXUu5rX/F49wIRuWL2VB5cTCxG2n3Ma9b7uXaEUb87qe57WX3Ly893w27P0eWVdVFQqFYg5Jeqt1vbBd1um4dVvoDZn5clwnokKm6Lg2dA1NwGvDD3Fw+CCf12pxTKPA4Eh/GASU+ez7ibYfAqC/spbLVk8xJgQK2HFtTCkqBPJXaHPC5pSXg64TT0SFaEIQkyrjWqEoZIpPuEaAUA5HxfTQNZ2G0gaaK5sR5fPBjEDdKcxrWDLXTVMcL6moEAtNy64N5J5xrWXJuFbFGRUKReGTdFwjXDhcOsPh+FjHtT7WcZ2xGO1JROCFFwB4YUGAi8oup7NliNULj6CZYf4rdCnvPH3hlM6zzLcM3wffT7fjXkpifbzi+iC+9iOw97GZbL5CoVBMDylAWmgZsvsLFV3TcWrOvDmuDWeGjGunEyuW3QXscITY5r+Xixsv5nxHNUxDeB3pC+Etd6Yc35GDB4lqBhs2LcfrMiY/Qdd2qFgIJQVqwsrBcR0xcxf+c0VoGrrPh5kozmhoguTIRwnXCkVhUjw90xiUw1ExfT656ZN8bMPHoCyx9ar5TXPbIEVeSDmupQVCYOUp49rQRWYhRxVnVCgURYA5aOcqO4QnNSmuLk2PCrEnxRITDUHsJJ+0Bbe8SLjCQ3etg5rDTQgBKyM/o921jKOeZi5bUzflczWfdgnfv9qk7DqNqKuCNwJnIf98p9qpo1AoCg8hEEUYx+k23Hlz6WbMuHY4kNHsoqvT205chnnf2veB4YJpOq7Lqkd38nRv20mHt5q3rm+c4LfS6NpRuDEhkJPjejaEawDD5yOezLjWBKalMq4VikKm6IRriUAKNeBXTJ8rl1zJBY0XQPkC+43mS+a2QYr8kBCupWmiaRNHheTkuNa0LMK1igpRKBSFjzVsb4V1aiWQFK69o1Eho8K1hQ6Zo5FOEqSUBLa8wBuLdc5ecA6db4xQv9CJt3czPw+ew3WbGnEZ+uQnSrCkfAlu3U1rdRvCirMvthHR/Trsun8G70KhUCimgwBZfMK1x/DkL+PamSHjeoKoEADNfRSAFb4VYLin6bgOp/KtzeFhtG2vsG3+ai5ZNYWF0mgAevfB/EIWrh2TC9fG7ArXWkkJMhgEsGPSVFSIQlHQFJ1wbSdwKaFIkQdqV4K7AhafO9ctUeSDpOPatBCTRIXkknFt6FkyX1VxRoVCUQRYwwNYQuLEg0xkl6Y7rtFt4doScTRO7qiQ6P79mD29vNgQ5MzKc+huH2Fh6V4sdO6PncvNZ04tJiSJrums8K1gz8huvHKQuF5PzFkBB5+boTtQKBSK6VKcjmuP4cmf49rIknGdpTij/flR3KKaMmcZ6M6cHdeWJfH3R1LCtf/JJ9FNk77TzsfjnMJC6f7NgCzcfGuwxxmTRIUk88pnI+MaAF1HJsY7hp4mXKs6FApFQVKEwjXKca3ID2d/HD75Cjhyr/6sKDySOa1yCsUZc824Vo5rhUJRrFjDQ0Sc4LQ8WFpCuE7PuHYkHNfSRIOTujhjcMsWAHYuEiweXgMSFo7cw3NiI6esWMaKeWU5n3Nl1Up29++mutwk7qmn17kEevbkueUKhUJx/BSrcJ0vx7XQBJohMGNpGdcOB8TjyCwZEtLRSalIRHpMw3EdGIxgWZKyKlu4Hf7jH+nzVOBeNwUh+uguuP/DUNUMSy/M6bqziuYAa2Lh2qnb45KomX2RIJ8IXQfT/nvWRFpUyEk8BlIoCpkZFa6FEG8WQuwRQrQIIf5hguNuEEJIIcTpUzuxEooUeUB3gLdmrluhyBfJzGlLIjSRdcU814xrhy6IZRrEqOKMCoWiCLD8w4RcAoflJibsZ9mYqBA9LSpEQuwkDngMvLCFQFUJwboy4gfduNwWddEt3B05lw9d0DStc66qWsVIdISKhTqm4aZlcIUSrhUKRQEiGC1RVzzkM+Ma7JzreHSs4xrIGBcSs2JYxlE8NCR+OfeM6+FeW3Qvr3ZjBQL4n32OZ+evo2n8Qmn//rHbSQcOws+vB0cJvPf34Mp9YXXW0B1gTjxfSjmuzVl0XCfGO7omiKMc1wpFITNjwrUQQge+C1wFrAHeJYRYk+G4MuBTwJapnltqSrhWKBRjEQknIZaJENkzynJ1XBu6RjyTkKOKMyoUiiLA8vsJOkG3nEQFGJqg3GOMHpDMuBYmAkksfnJO2mQsRvDFF3ljsc4m9zwOv7yXhTxHv1bJobqLOW9Z9bTOu7pqNQDBxbaYcbivAYK9EOjNW9sVCoXi+BEgis+MkU/HNYDh0IjH04VrB0DGuJD24XYQJi4rKVwnHNc5iJ+9h/wAVDeW4n/mGYhEeHbBOppqS0cPGu6Ab58Gz/6f0fceuh1iIXjP/VC5KIc7nAOmUpxxljOuhaalHNe6JkgOfVTGtUJRmMyk4/pMoEVK2SaljAK/Aa7NcNxXgLuAKS+vSVF8q8EKhWKGSUaFmJbtuM7ymNCElpvjWrMd18eswKuoEIVCUQTEArZwrcUdhKVFdakTIUTqc+FwJP5kISDzQt0Jjjk0RPuHPow/KPhLU5hTW/oIxitwrGzmstDXuO3CVWO+s1xY7luOLnRa5veix0OMBBM7vZKu66HDsPXHeboThUKhmB5SCEQR1pFy626C8WDezqc7NMx0x7Uju3C9b3AfAE5rgf1GQnydLM85nZ72EUoqnHgrXAw//kdi5ZW8Xr2Uphrv6EFHX7eNMpu/aS967n8G2p6Ei/4e6lbneIdzgGZMGhXi0u3vblYzrpOOayFSY5+TcAikUBQFxuSHTJsG4FDa68PAWekHCCE2AQullA8LIT6b7URCiA8DHwZYWLNCRYUoFIpjEMnijJY5YVRIzsK1nqgwbkkMPU24UMUZFQpFERALBAm6BCKuE7QsqspdYz4XScc1JkLKzNFIJyCRtv2M/PlPWMMjjDzxBEO9IV44959pDnZTHmohDHxjqIFSn+Tq9QumfR234WZpxVJeD7RwdrSCgEg4t3v3wJLz4Plvw5b/grXvAE9lfm5OoVAopoFWhHNsjyN/xRkh4bhOz7ieICqkZaAFpEA36xO/bMddEA+D4Tzm+Ex0t49Qt6jMjgl5+mkObbwAh8OgoTKtBlPvXvtnLABP3wUdr0DZAjjjg7nf4FygOyYV842EISiXXbHHwxjHtT6aca0c1wpFYTKTwnUma0rqSSCE0IBvAu+b7ERSyh8CPwRYVLtSSk0thSkUinEkhGtpWRNGheSacW0khOuYKTHSi3srx7VCoSgCzFCYUCXImMBvWtSUusd8Loyk49pESDIXoz0B6b7rLvxPPQWGgWP+fGIf+ypyawSH5aQ7cj5mqc7rg35++cGzcBrHt0FxVdUqXux8kcvdpzBMIxG9EqNrL8Qs9Lan7YMiI0q4VigUc4iAItzV7Nbd+Y0KcerEY1NzXLcMtuCU84jHExOEpON6ijnXsYjJYFeA5lNrGfnTn5ChEC80ncHSMi+alial9O4BTxWsuQZe/IH93tv+Lzg8mU9caGgOQNpzJk3PeIgu7PdzmaMdF+Mc1xYCoSnhWqEoVGYyKuQwsDDtdSPQkfa6DFgLPCWEOACcDTw4pQKNSrhWKBTjSTquE1Eh2cYduWZcOxIu62MKlqnijAqFogiwwlFCLg8gGI6bVHnHucCSUSHSQkhJ/CRwXEspCe3cScW117Jqx3aWPfFH2rudDJV3cWDVl9mw9FXuJ8itZy/ivGXHX8R5VdUqukPdVC4wQDN4cvgj/PSxC3jsv16GnjfsgyLDx30dhUKhmC5SCLQinGN7DE9eC/oZDm1McUYt6bjOFBUysI8S0UA0ueCb7rieAr2H/UgJdYvKGHrgARyNjWx2LaA5Pd8aoHcf1KyAi79gF2OsaoaNt+Z+c3NFogj0RK5rLbGTddYc1/q4jGvLsoVrVZxRoShIZlK43gosF0IsFUI4gZuBB5MfSimHpJQ1UsolUsolwAvANVLKlyY9s6YeKAqFYixCCNA0pGWiCZG1MEquUSFGwvFwjJijijMqFIpiIGwScdcC0GnGqfaOjwpJy7iWEDWtE37iFu/qwuztxb1+HUIIhntDdB8c4Y3KLZweHuJBqRGrdfGFq/KTHXpm/ZkIBK/7dgLQOnI2cVPQvX9o9KDISF6upVAoFNNDIETxPfuTxRnz1W/pDg0z3XGdJSokFA9xaOQQXtE4ulMpJVxPzXHd024/9yvdYQJ/fYHSq9/GocEwTbVFn0B+AAAgAElEQVTesQf27oWa5VBWD+97GG793agYXAxMweyTFK6t2QqZ1tIc15rAskATQmVcKxQFyowJ11LKOPC3wOPAG8A9UspdQog7hRDXHNfJlXCtUCgyoetgSYQAK4vlOueM68QW8fj47fOJLW0qKkShUBQqUkpE1CLmrAOg04pTXTrWcT02KsR+bpon+FbZ0E5bQPasXQvArq12SZaRml28NaRz32ATX71uHV5XfoSB1dWr+eC6D3KP9hdW7P0NFcP3cpr3XoJBjaiVEDqUcK1QKOYQiUDTi0+18xgeLGkRm6T431Q5JuM6S1RI21AbEkm5li5cJ6NCpua47mkfxlPmIP70YyAlIxdehmnJscJ1sB8CPVC70n7dcBpULZ3ezc0VWmKcMcHfUTIqZE4c1yLpuBYqKkShKFBmdKlOSvko8Oi4976U5diLp3xiXT1QFArFsQghUsUZyfKY0IWeW1RIIoIkOl641jRAqKgQhUJRsMhQCCFBGnUgYFCTVGeNCjFTz824NS7T/wQjvGMnGAauVauQUvL85h2MeP3876G9bA5v4s3rF3LRitq8XvPjGz/Oy10vEdSfZ/02iV7ZBMBQ6ZnUBp9RUSEKhWJuESKVuldMeAw75zkUD+HUp1YQcSJ0h57ZcT1OuG4ZaAGgXF9Ed3y6jms/tQvLGH7wATybNrHHVQXsp6kmLSqkz74ONStyv5lCQU+MM8wpOK5nK+M6zXGtaQLTQgnXCkUBU4TdE3ACT6YUCsVxoOtI00IIkTfHtaFniQoBe+ubclwrFIoCxQoEANC0WlxlTkwB1aXjokKc9msh7agQyLBQd4IR3rkD94oVaC4X977yAO5+Hw2LB9gYGOIRcTFfvHpN3q9paAZ3XfR1/uMGB8OVbkKvBAEYqrsy0SglXCsUirlFN4pPtHMnxOJ8FWg0nGMzrrNFhewd2ItLd1Fu1BNLzhFycFzHoyb9nQF83gjRllYqrr2Gth67zx7juO7ZY/+sWT7NOyoAUlEhhZlxbWgCS0pVnFGhKGCUcK1QKE4YhKYlHNfZBx65C9eJqJBMoWeaoRzXCoWiYDH9fgAc1KFX2I6n8cUZk5NyMFO1AU7kAo12YcZduNeuJRgL8sSTLwBwnf93bLVWcN4l1zCv3D0j157nnUfd/Gbu+/haSqI9AAx5NtkfqqgQhUIxh0gEesKsUUykO67zge7QiMfThOvEriRrnON6T/8eVvhW4DIcacUZpy5c9x0JIC2Jt/MN0DTKrryS1h4/tWUuytyO0QN794LuhMrFx3djc0nKcT15VMis1dgYl3EdNy00TaB0a4WiMClK4VoUUS0ChUIxi+g60pL2Vq8sA49chWtnYhAfy+i41mG2trQpFApFjlgB29VryBqk1x481YzLuNbSHNepqJAT2HEda2/HGh7GvW4t/7Prf5jXtRyvL0BNdDvfM6/l7ac2zuj1myub2enqxLnAwhkdYjDsA4QSrhUKxdwiBLpRfMJ13h3XDg0zmpZxnSEqRErJ7oHdrKxaicvQiMbHC9eTR4X0tNu7bJyv/AXPqZswfD7aevw0H1OYcR9ULxstCl+M5FCccbYc1+gaxOOJP9qCtRAqKkShKFSKUrimCFeDFQrFzCOEANOccOCRa8a1kQj8i2UScjRdOa4Vikk4PHKY2AQuG8XMYY0METNK0KSXiMd+lo2PCiE9KiTxmDuRo0KShRkDzfO55+X7qfcvZZ3jaVr1ZoYWXExtmWuSMxwfy33L6Qx0cmTJ6XiCPfR3jICrXGVcKxSKOUZgOIpPGkg6rsNTLIg4GYZDJ54p4zotKuRo8ChDkSFW+Vbh0EVaccZkxvXkbelpH8Hl0RCvb6XskksBaOsN0FRbOvbA3r3FHRMCUxKuk47r2cq4FuMd16o4o0JR0BRf7wRojiJecVQoFDOHriPzHhUygeNaKOFaoZiIiBnh+gev59599851U05KzN4ugp46APwOcBoaXufYMZRw2RNtzUorzngCR4UMvvYSltPgY63/yuKetQA0Ww/xjdDVXH7K/Bm//rLKZQD0rV5PSaibgaMBcJURGolw/3+8wuDR4Iy3QaFQKMYji1y4zmfGtWXKVK2cZFSIjI4K17v7dwOwsmolDl1LE64TC5/m2FiRTHS3j+BzBhFA2SVvoj8QZTAYo6kmzXEdj8DAfqhZefw3NpdMISpkThzXiYxrTQgsC5VxrVAUMMXXOwFaEXaqCoViFtA1MK08R4UkMq4zOq5VcUaFYiICsQCheIgDQwfmuiknJZHXdxAoqQWgX7Oo8TrtnSlpJN1kQpqQeMxlzPQ/AbCkxY7N99NSE6fSW83FsWuocXciKtw8bp3B5WvqZrwNSeE63KjhCfUQC0PUqKbtSDUd+wbpPeyf8TYoFApFJhzO4svjzLfjWk/oDPFEXMio43pUjN7dvxuBYIVvBU5DI2ZKO5t5io5rM2bR3xHA29eCs7kZ55IltPXYz/7mdMd1f5sdSVizIi/3NmdoCeF6CsUZZ81xrRspx7WhCUwpExnXSrhWKAqRrL2TEGKyPYsC6JRSzvqTVHMUX6eqUChmHiE0pLRSwkwy7zodXejTKs6YOeNaFWdUFAaF2mdHE66j7mD3bF5WkSCwbQddNYsByVEzTtW4fGsAzZlwXKdlXEfjJ+bEbc9zj7C4PcLgNefyvbO/y88efJ71pX/hbteNLK4pGysYzBALShfgMTwcqfLTEEoUaGQxB7rrAbBO0EUDhUJhU6j9NYDT5Zj8oALDrdt9WDCen90qSde5mcitHs24HhVd9/TvYXH5YkocJTgS84SoaeFKCdcTZ1z3dfixTIln34uUXXMJAG09AQCa0jOue/faP4s9KiTluM4+ZxJCoAlt1hzXIt1xrQlMSyJ0oUoXKRQFykTW5VYpZfkE/5UBgdlqaDqaSwnXCoUiA7oOpkUiljpjZepcB0WpqJBMYoIqzqgoHAqyz46Y9uRNCdezjzRNwm+00F9Rh/BG6AvFqPZmyG9ORIWc6I5rc2SE8P/6KoOlsOL2f6TtVfvfZFNNG988up7L18w7xo0+E2hCY1nlMvaEDmBhu/L6Ygs5PLgIgGiX+n9FoTjBOe7+WgjxZiHEHiFEixDiHyY47gYhhBRCnD6VhjmcxSdclzhKgHwWZ7TjtOLRhHCdigoZ67heWWXHdzjTDS6p4owTO6572u1ivKVDBym71BauW3v8OHWNRl/J6IG9++yf1cuO444KgGRhyUnMPrnuij0u0jKujYTJSWVcKxSFy0TC9Tum8PtTOSbv6M5jHUMKhUIhNM2O7kg5ro89JtdBkUNLRoVkclyrjGtFwVCQfXY4HmbjkUsY6c3PFl7F1Im2tSFDESLuOlyVFr3+KNUZHNdCN0CTaJaJQCBklmK0RUaktZX2j3yEPWecyZHPfIYjn/4Mzp4h7r2ulLrn/o1dj2+jxmjl4PK3EDJ1Lls9b9ba1lzZTMtAC7Lc/vu4r2sZcWmLI9GOrllrh0KhmBOOq78WQujAd4GrgDXAu4QQazIcVwZ8Ctgy1YY53TNbnHYmqHBVADAYGczL+ZJRIWZsnOM6UZxxJDrCYf9hVlWtAuzaEQCxuAV6Urie2HHd0z6CgxilHhP3+vUAtPYEWFJTgp6+U7S/DUrrwTXzu4FmlClEhYC9K3YuHNep71yojGuFolDJKlxLKdsm++WpHDMTGO7iWw1WKBSzgK4jLTujDMiYU5azcG3Y58qYcS10lXGtKAgKtc8ODgc4u/1amnc3Yar/V2aV0LZtSECnFm9dCX2BCNXeDAv/miMhXNvPOI0s0UhFRN///JS2a64l9MqrlF50EYG/vkDg2Wf57YUGDd5u9m/rZmDYy8bqp/lc6zpW1Zdx+mLfrLVvWeUy+sJ9aA1VOKJDVIwsSa20WvHiXzRQKBTZyUN/fSbQIqVsk1JGgd8A12Y47ivAXcCUV44druIzh7l0FyVGCQPhgbycz3AmDCuxRMa1Ye/0Tjqu9w7Y8R0rfbbjOj0qBN2wYwSn4LguCx7Be8YZtukGaOv101QzTqDuayl+tzWkOa4nHgdqQpu9uKw0x7UmRh3XlhKuFYqCZFpVDoUQO/LdkFww3O65vLxCoShQhBBgmmMyrsejC3vwNFXx2tDSBqTjURnXiiJgLvvs4NEOABr7vPSF++aqGScloW3biJSW4bRKcFWXEI5ZzCvPMH7SHaCBlphQamTZYVIkWJEIvd/5Dt6zzqT58cdo+MbXWb75GYb/+05+d7bkLFHOK95/otxnsPPiT7Gv3+Tvr1yZWvCcDZZX2nmlbb5uvIkYnYrgfgBicbXAo1CcrEyxv24ADqW9Ppx4L/08m4CFUsqHJ7neh4UQLwkhXgJwlpRMdHjB4nP78ue4NpLCdcJxrWngcKSE6939uwFSjmtHIlIwmlx0NNwTOq5N06LvsJ/S3hZKzjwTsHc5tfcFx+ZbA/S1QnVTXu5rTknMvZjETT2bjmvSHNepqBABqjajQlGYTFSc8fpsHwH1M9OcqSBxuj1zd3mFQlG46PbquUhlXB97SLJqtSnN1J8nIjkgzRwVooRrRWFQqH12YGAYKMFplnM0cJS6krq5aspJR+i11zjaYH/fUUcZ0MepmVzFmgOhSbs4I6AVeVRIYPNmrECAqvd/AKOqCrAdc88HnsIAGpf8IzsfGeHcdy7no3/dw2mLfVyyanb/XS7z2Q665/Q3eGtoI4OVy6np2s5QczOd/fkpMKZQKAqTPPTXmVbZUoNUIYQGfBN432QnklL+EPghwKLaldLpKc45dqWrkoFIvhzXtshqRkf7Qc3hSEWF7OnfQ5W7ihpPDZAWFZLsNw3XhI7rgc4Apikp9bdTcsb7ADjUHyRuSZrSCwSHBiHYe4I5riceW8xmxrXQdJASKUd36iJUxrVCUahMVOXwbuCXpHWEacyZ5VkARol30uMUCsXJRzKvbELHtZaj4zqxBTBjsTJNU8UZFYVCQfbZweFhoB5DlqkCjbOIOTJCpKWVA+ddAcCesInbobF2QcWxB2s6YpzjupiF6+E/PIZeWYn3rDNH37RM/nrkWTaZLrbvWYGnLMjzZoijwxG+dfOmWSnKmE6tp5ZyZzmdviFK/UdAxqnp20Fr83WEI8pxrVCc4Bxvf30YWJj2uhHoSHtdBqwFnko82+qBB4UQ10gpX5roxIanOHc1V7orGQznx3FtOMY6rsEu0Jh0XLcOtbK8cnmq33Dq43ZmGu4Jhevug3ZhxkoxiGu5LUq39di1OMc4rvtb7Z9Vzcd5RwVAylE0eVTIrDquAUwTPalbayrjWqEoVCYSrrcD35BS7hz/gRDisplr0mRIXB4lXCsUigxoOlKmO66PHXwIkvnXUxNmko7rjJmvynGtKBwKss+O+kN2GyjjaPDoXDXjpCO8YwdSQtB5Hrqvgxe6HJy6yJdyho1BdyI0iW5amCSiQgp44hY9eBCtvBzDd6x73AqFGHnySSquvhrhGK2H0r39VxwN13LRgU/QMTzEoisa+fSTLbz5lHrOaqqezeYDdqzV6qrVdHOIho5nKR/ahTs8BEAspvoUheIE53j7663AciHEUuAIcDPw7uSHUsohoCbtnE8Bn51MtAbQi7A4I4DP5ePA0IG8nGt8xjXYBRplzBauO/wdXNh4YeqzZMZ1LJ7oNw3XhFEhve0j6FaEmnVLU/nWrT1+AJrTM677EsL1ieC4Tk3MJndcZ5q7zQQiYWSSloWeFLGFyrhWKAqVifbJ/x0wnOWz62agLVNDSlyesjm7vEKhKGA0DUwrzXF97CG5Zlw7tHFbANNRxRkVhUNB9tmxgC1cS105rmeT4Kuv0l+1CpdVTe0pMd7oGubMpVWZDzbctnCdclyLgnVcm/4A+298J/uvuZbw668f87n/mc3IYJDyq96cei8Q9fPFp3/P9Ts/i9Pycc7frOLLuw6yuLqEr9+4fjabP4Z/Of9f+MHbfkq0oowKfw+RcnsbejRWmN+9QqHIG8fVX0sp48DfAo8DbwD3SCl3CSHuFEJcczwNM1zFKVxXuirzVpwxmXFtpjuunU5kNEbUjNIb6qXeO5ro4jDGOa71iaNCjrb0UTp8CO+Zo7uC2noCVHudVJSMLrjawrUA35Ljv6m5ZorFGWc94xoSjuuk5Tqz6UmhUMw9WYVrKeVmKWV7ls8mXbGdKQTgVsK1QqHIgNA0pGUiElllmQYf6RnXU8FQGdeKIqBQ++xYyHYoWbqHo4Ndc9WMkworFGLw7ntoX3YxIcOPe2kzUjKBcO1E00Gz0jOuC3PiNvjb32INDyOl5OCt78G/+dkxnw//4Q/o1dWUnHEGABEzwud++3es3Ps3eEtjvP3zZ/JPL7QSi1v88L2nU+Z2ZLrMrFDvrWd+6XzKl9mFtwYX2MJ1XBVnVChOaPLRX0spH5VSrpBSNkspv5p470tSygczHHvxVM+rOZ1TOazg8Ll9BONBImZ2p/NUSWZcHxMVEovSFbDHMQu8C1KfJaNCxmZcRzOe24xZ9HaEqBg+QMmZZ6Teb+v105yebw12VEjlQnAUZ3zLGKZYnHHWM64BaVqp4owIgVWg4x+F4mRn8spk4xBCfFwIcZMQYqKYkRlE4narqBCFQpEBXU84ru2XE2ZcT1IgJElqC2DGjGtDOa4VBc1c99lWePT/j6HuPgDu23cfl997OTErNhdNOuHp//kvCA6E6C9ZTXvNi+wZqMWhCzYtzFCYEUB3oaU5rgUQL0DHtYzF6P/Zzyg580yW/u53jDSfzXP/+jsihw4BEDt6FP9TT1F2xeWg6zx96Gnec/f7WfjilXiIcd3t5/GZB3ew5+gI33r3pmNFgjmiZKktXHctsL//eFxNmhWKk5G57q8BdFdxCteVrkqAvORcpzKuo2Md11Y0SkfAjhJfUJomXBv2pCManzzjuufQCJYUVMaP4lqxIvV+W09gbL41QF/LiZFvDYXtuLbMVHFGIVTpIoWiUMlZuMae05wP3JfntkwRJVwrFIrMCCHAslKO60w5ZamMa3ITrjM7rrVJ3QMKxRwzp312PK3QXOxoEIAnDj5BV6CLQ8OH5qJJJzTxgQH6fvQjes+7FYGOc96rbD3Qz7qGCjwJF9kxGK5EVIj9TNSZmeKMZsIpPRGxo92Yg5mFh+HHHiPe2UnV+/8Go7aWN5bfTMvit7H1Sz9G/vx6Oj92CwCl73kXn3v4f3HvD5/ngs3voyLq5fpLO/jqc+1s3tfL165bx5tW1uX79qaNe81qIg5oXygRlkk8rmbNCsVJyhzPsUEvYsc1wGDk+IVr3ZEt4zpGp78TgPne+anPkvOEUeE6e8Z1V5tdy6C+qTyVbz0UjNEXiI4VrqWEvrYTI98a0hzXk2dcz77j2kxp2CoqRKEoXHJe0ZVSfncmGjL1BkCJqzBcMgqFosDQdaRlpVbOM9VrzzXjWtcEQmQRcjQDYqHptlahmHHmvM9OcyxpAxC34rxy9BUAWodaaapsmquWnZD0/eCH+M0S9hlrOVC2g1VVDh7YPsQHzp/gezZcCA2MeDLjOv9RIbGj3bReeSVll17Kgn/72pjCialjOjtpfctbkaEQjoYGKq6/jtpPfAKwJ5J9P/4JzmXNlF54IQd29DLcH8PjNNlhno3vF0+gHeyn8owhbn/xDlY8fxtlViWnzN/FafyYB3w/477Hj/Dpy1bwzjMW5vXejpfKG2/kk5GfUhdooVKamAXodlcoFDPPnPfXgO7IssBZ4CQd1wOR48+5TjquzfFRIdEonYFOBIJ5JfNSn7kT31kk3XGdKLY7ns6WAdzhPipPXZp6r63XLsy4NL0wY6AXIkNQfaI4rkfdzROha3OUcZ1snxDIKe7IVSgUs8t0HNcIIf4m3w2ZKoYZwONSjmuFQnEsQtPANFNRIZkc11picGLmEPHh0LTMQo4qzqgoAuayz5ZpEfDeYAkvdr5IMG47r1sHW+eoVcVPJkeQf/Oz9P3s5+w993akLtm89LfUO5cRMyVnZcu3BtBtx7WRmKwJmX/Hdei115DhMMOPPMLhT34KK3zsNuqe734X4nFqPvVJnIsX0/vt7zDw618jpaTnm/9JZPduqt//AYSm8dqfDlFa5eKG25dgyDBbaz+Kce7Z3H5pPcbetZRFq7ju+jgXW18ieMat3PmnTi5bXcenLi0895owDKitZkQXCGlhmRIzQ9+lUChOfOayv4bRwoTFhs+VcFznISpE0zU0TYzNuE4UZ+zwd1BbUotDH1189SSE60A0MeCZyHG9b4CKobYxMSFdQ3Z/uKAyLcu6PzE+OuEc1wWUca2PZlynijNqmeeOCoVi7plu7/TPeW1FDhixYdzKca1QKDKh60g5GhWSD8c12AUaM2a+quKMiuJgzvpsGRepP5dGynhk/yMAlDvLaRtsm6tmzRwv/QS23T1jp5eW5PEf7eShb28bM7mKHjzIkTvuoGPjjfTHKxg4ZQsR5yCB2GqEgFMXZ8m3BtA0hC4wEotwOhDP88QtvHMnGAbzvvAP9D//Mgfv+Az8+U544stgWURaWxm6734qbr4Z86pbaL/q83Rd9GE6/+Vf6fjsHfT98IdU3nQTFde9ne6Dw3TsG2TpeZXs3XkXl5R+h2DpfP5Q83ZGhprY0PEmVtVsp37754hVreC9r59GZYmDu27YYMdJFSBlrgqGNR0hLQSCwWDmwl4KheKEZ876awDdKMxn5GRUuvPnuAbQnRpmdHxxxhidgc4xhRkBShIxXKFoQpTNknE90h8mGLAoH96Pa8XK1PvdI7bIPa88Tbjua7F/Vp0gu9JyyLieLeE63QWupxVnVBnXCkVhkjUqRAixPdtHwLwsn804UoDDUTJXl1coFIWMJiBqpcSJfGRcg51flzkqRDmuFYVBofbZxO2JgWZG8EbLub/9MZZWLGVh2UJahlrmrFnZCO3YSbynGzaew+DREAtXT+BUHk80CI//E3hrYMNNeW+b/9nnePXPR2jprAFg258OsemKRVihEIc+8Ql6K1ezt+ICWDzCr52/5l3Dfp4N17K6vpwKz7HRHOkIXUNPPOM0RN4d1+Fdu3CtWE7Vbbfx8PMeghEvp//uHjbVPoReWkfPr3ZjeSt5xnwTvf/+MpoGltjA0Y0fY83jP6Hmqjcx70tfRAjBa0+0Y7g0vun/J1rCLdx65nya58U49DsHV7/xcRxOk3O1/0AbHOaW6P9irwzz8/efRZW3cLNby53lHNR1BCYa0B+IUl3qmutmKRSKGaBg+2uK13Gdz+KMYMeFHJNxHY3S4e9gXe26MceWOG05JZgSrjM7rpP51pWhwzgXL0q93z0SxtAEVSVpfVRfq22OqVycl/uZc3JwXOeyI/Z4ELr99yZNC11LSGIq41qhKFgmyrieB1wJjF+6FMDzM9aiSZCArs9ZsWWFQlHACE3HssyU41pmEK71xKq/lUOGmUMXxDI5EDVdFWdUFAoF2WdjaYCFOzJAxFVKIBbgvOBVlGxZxNaVXyFuxTE0A/9AGFeJA4drNF8zYkZw6bMn3kkp6fjsZzkSqGT3mjAxzc0t/3w2lfOmuFi+73GIBWAwQGTbs/hf2oPv1lvRXMd/D+Hdu9lxx9fYsfF26npeRhpOtjwgWLK+mvg9P6G7B7af9h7iVX5+WvcVrnHU8nl/P6eEDG4+Y3LxXRgajkQhTSNbpv80kVIS2rWL8iuuYKhrmBFRg9vsZ4t1G62Bt3LJf3+Rkec0Dl3/L/R2hrjoXStYfuDztO4K8bT4KK+c93lW1f+Sd997Ce8MfBz5Ui3h9UdoCbdweSDIL7ydcPhznHnexax79QYesSLUGOfQtKCGa9bfzOfqy9i0aALHeQFQ5iwb47juC0RZPteNUigUM0Vh9tcUr3BtaAblzvK8Oa4Nh54hKiRKV7CLK71XjjnW7dAQAkKpqJDMjuuutiE0Gad6fkkqpgLg6HCEmlLXaH0egP42W7Q+UTSPQnRc6+mO64SILTLPHRUKxdwz0dPwYaBUSvna+A+EEE/NWIsmozh3MCkUitlA18C0EImxSKZFcy3xYS7FPwxNU1EhikKnIPtsYepoIoYjPoLDUQ7AgtZ6hgc8NHVt4vDIYebpC/j1nS+y8qx6LrzZzn38S/tf+Pwzn+e+a+9jYdkMF9OzLHj634k417NbrOXA2rdQGu0m5nSz76l9nHHThjGHSylBSjtTP50d94LhgXiIHV/9It7tXQw+/BALv/VtnAtH78G0TDvHMRBg6MEHCb3yKpHWViqvvx7frbdkjLPo/s73eX3N31BW7eEtX3g3LTfdwhbfcn7+r49S2ethZOPfMuDs5oEl/5erF53Nl5/9BX1r3vf/2Tvv8LiqM/9/zr13muqMui259wYGjIHQe0moSwATsukkP0ISUjZll01ddhOypOymLcmSQAIhlYQQ0iBLB2PAGGyDe5Nt9V6m3vP7485II3tG3dLV6P08D488M+feOZLQvPd+z/d8X8KvDJFvnUSZJlbyM86jFPFxbM4Yq63Fbm/Hv3IltS+9AcD5Czez70/b2Lryvfy599MsXvhXdrWEOP78Waxcmw9P/InlF9xC6eJT+fP3NrBhz4dZ2/YGurWcpppd/Cbvv7mpvZPbqi7g5BVX8OCbv+S1nWfwd08X737LXC666AEKfBarx+27OLYUeYvoVCSFa8dxLQhCzuLKeg1gTNGoEICQPzRujmvTYxzVnDEeDRO348zInzFgrFKKgMcchuO6g6KeWgKLB+ZWN3RGqCw6YoG74yAU14zL9+IK+hzXg4vShjImrDljf8Z1WnNGJONaENxK1mVVrfX7tNbPZHntxmM3pcGpc7dpRhCESUQZJtj9USEZHdejyLj2WFmEHGnOKLgEt9ZsbAvDjuHRPZgUApCodRZ7Tqw9m52tu3jlz/uI9sbZv6W577A/7fkT4USYh3Y8dOznuP4H/Pbl/+bPP/4pe+deRvHiKAoq7jEAACAASURBVMs/WkJh5352Pr+/b1h7pJ2OziZqb/0IO885l46//LV/S2m4HXb8ja5lH2Bz7xXUdZzIc6vfSmN9N3uu+QciO51YFNvWfO3xb/CBb17Ktqsup/7LX6Fn/XoA6u+4g4O3fZxEZ+eA6YXfeIM9mxoJ+0KcuW4p+XOrqbn5H1my5T78nTaGHYei51lz4Q7++o5H+fL+nZh5JTxS8m4ATh6OcO0xMOPO78WbrRntKAlv2QKAf+UKDmxtpMBoYvZ7r6c6v4UVr/+IzsI5vFTzQYqLYpxy5XzY+bizk2XZFVTOLaLuio3sKn2VOa0rMcs28dua/2ZBPM663lKOf+UyPvdTk00b1lHmn8nvbjmdL1y+ggLf1HKpFXmLsBUobAygWYRrQchZXFuv0a7tAzAcgr7g+DmuvcYRjmsPiYjjop5RMOOo8Xlei55Y9ozreCxB04FOipq341uyeMBrDR1hygv9A56jsw6KBmZpT2nS8qQHHTaBzRn759TfnFErJY5rQXApI7qyV0rdrLW++1hNZjjoqbmDSRCEicAw0HZ/c8ZMOWV9+dcjEa4Ng2hWx7UI14I7cUPNVtoEYpiE0UYhC/IW0k2Igs4DUDiLnc82wvMGCW+U9kaneZE/aPLswWcB+P2u3/Ph1R92In72rwelYNba8Ztg0w5ee/oOvlJaxf9LXI2hG7kreCfxTVFusy+kM/w2Ohu7sIsSvP0Xb+XdD7Zwwm5Nd1Ux8Y99jIILzqf6rrsw3vwjiXiC3754Hp3tGubYaAUvBy+jsLuWl/9zI3ZFI10tYYrjJ7Emvpw93If572/jwituo253Oz2P/Jn9v/4le6/7BIdXzuXx8v2Un1LM1ffu49CscykIepm9ohQAffZcIj/exJnPb6L8XVdSNnMLbHgKDj0JB1+Cy/+LZ1+PMb88n7JhZCUrK81xbYxvxnV482bweHjrxlt42/5P0R7awZ978in56L9Q+9cnOOOaRWz45SbOm/EQHu/FsO1PbCmq4Imm9ezb/Wv+tPdP3PC2Gzj+zU2c2vgDzj7UTMgq4tq2T3POijmcvaScUJ6H85dV4jGn5kVioddZ1FE6gULR0iXCtSBMJ1xRrzN1NJ9ChHwh6nrqxuVclscgHh2YcW1Hnc/lI5szgtOgcUBzRp2ARLwv6qP1cA92QlPYeQD/4isGHNvQGRnYQNm2ofMwFFaNy/fiCkaScT0JjutUkglqSFO4IAiTxEiv8D90TGYhCIIwDijTgESClGEk08VHynE9oqgQM4vj2jAlKkRwM8Ou2UqpS5RS25RSO5VSnx1k3LVKKa2UWjOsE2vHcW154thmHh/KWwfKYN6+RzHjzcSfLiNh21hN9wBw4M1mNtZvxGxL8OHt62jubOK5Q8+h43Fef9+72PKR6+Cpr4Nt88LhF7j24WvZULdhuN/mQBJxeOhD3FtUyMU7ryDmK2ftrDf5+VX38/0Lvs/mBdsAePPXL/BfT3yB9z3QzOrdmr+9YzHve1cX669cRNdjj9P2i1/A5t+wRV9PZ7tmwf6fUL3r41z8EQ+vzP8TnYU2tDQQKogzY0mEhTvux59oZO/CD/LXl+GHn32C333jVZ7cXsXG4z7KpjnraOg8jVW7r+fML+yDVw7SUrSY5WdW92VgPvTinfzXFSbGNRdT8okvwTt/D+fdDodegRmrSay+iRf3tgwrJgRAWVafcG0pRXwEPQCGonfzFtpnBaE9H188n7rQbv7ludv5dlMj/xw4iX998xV2n3sve6OPog+/xi8PPclNpQHufv1HvNb0GpfOvZSuuku4adti3pH/AxZc/C1+UHwH7b4Z/Mc1q1i3djaXrJwxZUVrgCKfE6OjtOP8auk+epu5IAg5jQvusae2cB30B2kNj4/j2vSYR0WF6KRwndlxbdLTl3GdbLKY6P8cb6rtAqCgqxbfkiV9z0fjNi3dUSrTHdc9Tc69RWEuOa6Hn3E9Yc0R0xzXVurf0pxREFzLSPdSTvr+oUmfgCAI7sUw0Xpwx3Uq43okjmvLMDILOdKcUXA3wyqZSikT+C5wIVALbFBKPay13nrEuELgo8D64U/Bg9IxrIDzd+d7qRUoIxjZzZx9/8fuBdfSUfQKV/59M0+e0cnLG9+kzvMKV256Kwl1Ku9oa+Oh+Q+hf/VLyg8owp4Av3ruW8w98DQf0YcJJ8Lc+vit3HPxPawoWzGsGfW8spHe1zZROvsgB+o38nzFSt7RegbVB5/i+JO2YpUsBaDuxnfRdmcdW17sYdHDz+OzrqX+9E7e845bKI1s4KvGV/n6G8WYP/g++eft4eWuH1NeZTD7iQ28cF6M/EOvcfGVJ/O1p7/MvfcUUKDm0ly/h3BXB5dVPcLr0ZuxW85iX/BNrrzxTOZUzyERjbHpb7fw64b9nHz4I+xbdCN7E69jY1N2gnPJFm/exS979zFnVhVLPv2t/m/srH+CpZdDfhnb6rvpDMdZO1zh2mNhxZ3PMs84RoU4jRk3s3FJjLPV2wH44vxKboqXsKXje8yZ+U52Wf/D7u4uHq6qYNZf3smB4gCnFy/ia5feQ7GvmAdf3M9n17/OmYvKeGZnE9evn8fG/W18+pIFhPK94zLPyabPcU0CUxkSFSII0w+5xR0jIV+ItkgbWo898sTyGPT09htTDK8XFYtT5A2S78k/anzAm55xnRSh4xHwOmObD3ZhkKAwz8YqLe07rrHLEbcr0jOuOw45X4uOFsinLC53XKfWvTWScS0IbmWk9pTLj8ksRoAhdV0QhGwYChI2xrhnXGcRcqQ5o+Buhluz1wI7tda7tdZR4EHgygzjvgLcCYQzvJYRpS2UjuErCgBw8FAe3mgHvrmdzDr4DLV5j1L15oMoNGUtO2je3s3zu9eTp9di2DHyY+fT+NRreH72GJ0FGn8M/q85yM2x3VRrg1+97ZeE/CE+9NiH2N2+e1hzWv+tP/L33zfQ+7tv8bMFJ7Ok8RTAYIl6CavuCQh3AHDNsmuJ5e2ixzuH9pm3c6jmLN7wvJWf3nmAwCNL+VjD13l64eUcNufxwsHr6An78O/4BREP1FTCa08/zBmVl1EWrOax80vo3bSJQF0Hj1yiqfh/D3P+ml1cM/MGnlr0Xe7adh0lf3srNS++l4c9r7B5XoLHF88gbBYQ876F2uAW/vOFj6B3P8X//eH91FkWp876R2594JWBjfwqlkJ+Gev3OHnha+eVHv0DyPR7siyMpBPKoxi3qJDY/v3ozi7eqIixoG0xJdY+Ziw4ntuO/zy21UhL8V2EAgHCe2/jne0hvLEw723v5rsXO6L1i3ta+Nffb+bMRWX85D1r+edLl7FxfxtVRX7ee/q8cZmjGyjyOo5rtFO/pDmjIEw7Jv0eOxcc15FEhN5475jPZXmOzLj2YiRsZuZnFpPzvEc0Z4QBOdfNB7sojDUTWLJowHENHc6YAc0ZOw87X3PScT34tYWpzMnJuE53XItwLQiuJKtwrZR625HPaa1rhxpzrFF9IUSCIAgDUYaJthN9n2zj5bjOmvkqzRkFlzDGml0NHEh7XJt8Lv3YE4BZWutHhpjHzUqpl5RSLzU2NgIeFDHyKh3nb7uqpqDzALvnV6OMGMt2PMrabd3kn34SobZteCIFzH/leLTh5fS2b2LaMS564+10hM7lzVO/zI7V72XdvmpW+yr40Z7tLN32OD+88IcoFHe8cMeQP6fND29ia95baKhcw/q6S3go3sqaujMItW7j0IqVkIiw8bEHAOezYu2Vx6FRBHz1rPvXU7jptN9yQvGfQNsUREKURY9n84r3s9l3FWWRfSx6+QkeObmAmeUnc6rawsMv7+PGZTfyk3n7ia2ex0/PU5Qdt4qNLIZ1D1B96yvcseQfedPr4eZAhJdbtvJcXoD21jP45LXHcea1zk1uUd6LPNW5i3Oe+BCfUE1UmgXc80wNj7x2mPffu6E/WxPYdKCNb/5tO0sqC6kOBob8mYDjuFbJz0TLyBKNNAp6Xn/d+VkuWkLXQYtZ3k0w43h0eBHRxguZW7iYB6/4KXdcdhFb6y7mdwfruK3kRMxAMa/XtvO+n2xgViiP/153AqaheP+Z8/i3q1bynRtPwO/JnevBgY5rEa4FIZdx6z32VBeuQz4nJ7ot0jbmc5leg0QsLePa40FpqA5kzp0OeKwMjmtHlNZa01TbRV7rHnyLjmjM2Jl0XKdHhYjjegIm1O+4JpHoa85oIxnXguBWBosK+bpS6iCDb136d2DQm9jxZl5o0dCDBEGYnpjGAMd1xnSPpHA9PhnX0pxRcA1jqdmZjun7H14pZQDfBN491CSSzaXuBlizZo1GeVB2N8E582CnM8YXq6M2fz5zKvZy8g4v2lCUlj1Oyc5lAMxrP51g6zaWzXmRWM/veMG6kY7iRQSsGLXBE5n1wu/44Xm/hd6P0fSt/6Dq9hV84LgPcOeGO3nx8IusnZG5eePBba089WgjwdYddBQWssd3Kav2xSFWiNm2lZsT5/O0/iWVG77G3/dv4azF5Zz04ndYUl1B/nt+jKougrPWcdqey+GcJVBcww//8kleaFrO1RsWU9a1ia9dazD7vFtYOW8h3Pso5gvf5apPfpXvvfo9Pn7JQRqUScGes/nR6+t5+jPnUhaawzmnf5avzTiOLzz3Bd5TkgdaUaXO5rT5pagFZcw/oZw7nyxizoF/IVgc4J3HXcqO/Yv5RVsPt5yzgO8/uYuP/PwVPnj2Apo6I3z6168RzPfwv+8eXgw5ODflhnZcahYqczPaUbD71SfxKThr5Xs4vElR5d8NZYvYuP5NjI4LeOjKi7FMg+tOhv3NV/HIs0+xqfks8h/bzr3P7aU4z8P9HziFYJ4TCaKU4qZT54zL3NzEQMe1JVEhgpDbuPIee6rvaQ76ggC0hluZWTA2t7LlMYlH0+qgxwNAta8y43inOWMq4zrluHZE6Z6OKOGuGAXt+/HOP3fAcSnHdUVhuuO6DpQB+RVj+h5cRZ+7eQjh2jAm0HGdjAqx7b7poZRkXAuCSxlMuK4HvjHE8TvGcS7DIiU6CYIgHIkyTLDHP+PaYxp0xTNEgkhzRsE9jKVm1wKz0h7XAIfSHhcCK4EnkrmRVcDDSqkrtNYvDfaGGg8Qp2rBDHi80XkyTxMOLaKq8o/UH/KSt3YV+YE/U12yHW+klagvxIK2v+L50Kc48YmvYSXKqIz/lbx3/Yif/VcbB2ecwYz/uZtDL5hsLfoCS2/+dy5637XcV1jOH+57kdaSPC7+wEoA2iPtfP7Zz/O2kn9g370QCDeie37I5hNWs3zvTZy253oS9PCzWUt44rMXUdlyDwcf/hJn1f8Mq8EmuvQqCi77DyiaySOvHWJB2fEsK1sCj34KgKsLSvnewj2sXTSXb/dGOaRncNcpN0B+gENV53Pj4V+zdceHucpTwQPxvfhsLy2dc4klEvzgiV3c/rblAFw2/zIWBBfwsb9/kj21law7aVVfRmdRaYAvX3US//bHb3LPs3tobC1kR0MnN506m09fspTKIj9feHgLj73RAMCc0jx+/oFTmTlMtzWk3GTdAHiUonechOvOXdtoL4YlntUcZgehGflgmGzc38Zx1UGstIaKn7hoOT/wf5dnNx1m62M7qCzycf/7T2FG8fC/j6lKgacg+a8EBtDaHR2XnFZBEFyJO++xJ/oNx5mQ33Fct0bG3qDRtAwS8f46GLecz+JKT+b4rbyMGdeOKN18MNmYsfsgVkX5gOMaOiMYCkoL0oXrQ45obY60FZnLUUP3BTKVOYGO6+T/8YlEX3NGrSTjWhDcStZPRK31ORM4D0EQhLFjGGjbJnWvP1jG9UgujDymkcVxLc0ZBXcwxpq9AViklJoHHARuAG5MO3c7UJZ6rJR6AvjUUKK1M9gRrouqKzDj+0lYAcqXVlNfOYfCmjAtB+fCcg893T7CM/2U73+NtuKFLJxzCM7+DOr1X3F8y/chNAOWnsD81ZvZnzibul9/iVdP+hS9vlJ2LLuOvLu+we2LTmRz9XJ27mlg9YUdVM4t4oHNP+G53S9S9fszCNlFnPjqd/jRpRE+++6P89RXdtNOEVbXmwTOPIlZJXlQcg6zP3EOj720la8/9CzF7Su5L1DJDx7bzrce20F5oY+/Xf1VggefgPnnUjbnLZz7zOf4zr6/gQ9mR26lNN8RWkuvuRP1vVOofuQd3JQ4wM9rZtLVtZSvXHk86/e08NMX9vGBs+ZTWeTc5M4uWMjx3MHOhlquPalmwI/RMBSfv3w5p8wv4Z9+tYmKQj+fvsRpIvmut8xlzdwQrd0xAI6bVUyR3zOi/wGU14tKfpZZShEfpxs3s7aepgo/efVRFDbBubOJxBNsPdTBe06fO2CsYShuOWcht5yzkIbOMF7T6HNa5zqmYVJg+gAblfz5d/TGKc4b2e9REAT349Z7bDXFo0LSHddjxbTUAOG6B2cXTMgsyDg+4DX7I7uOcFw3H3QWhfO7D2GVD3RR13eEKSvwYRppi5Qdh3MrJiSFMXS8oqEmwXF9RHNGybgWBHeSY0t5giBMZ5RpQCLR77geJCpkJFvBrGwZ19KcUcgBtNZxpdStwF8AE7hHa71FKfVl4CWt9cOjPrfyoFQMKxTCG+0kphOsOHMFhwOzYAuU/9O56Nd/w3N6JfuXnc/pz95HfKeHom9+0LmpOO3D8MdPwqILQSmOO38WuzY28spptxM28lk+r56tuxcQ/fhd7Hu+DV+4lYjfz8t/2cM5b0vw4Kv38vatt+CPFuJt+CZRo4WrTz2T2VWreMv1Pv7ywF4eLCnn5hMGRHpzwZrldFvFfOzBV7n020+zp6mbC5dX8tT2Rj7yfAn3vudLGMnPmbcvfjt/2/c34t3zuHzZ+X3n8FUs5OmK6zmz4X5eUisIH7yc8xecyNvX1HDq/FJ+/+pB/vMv21gzN8TftjbwzM5GwjGba06spjx923AaF6+o4uS5JcRte4A4vWJm8Wh/RQAor6dPuDaVIhof+42jtm0K6zrZd/pMWvfXU2TWYdYcx2uHOogmbE6YHcx67IC8z2lCkZWPxkYlN+w3d0dEuBYEYcJQ5tTe4ZFyXI9LxrVlkIj33yf0qjgGEFT5GcfneU16Yglnp0wGx3XAm8Ab687ouK4oOqLedx6GUO40H+5DGUMGSE+G49oRrpP/RjKuBcGtiHAtCELuYJiO43oYUSEjdVxnbc6obdAaZEu3MIXRWj8KPHrEc5/PMvacYZ4TbXhQKoHyeglEGinojlK44p0s6PWwR1dRve0R8qOH2R28lktv+Cjd/3c/+e1hGk5YRw3A8TfCnqdgzXt5YP1+PKaifHYhjfvhlMvnc9LKApq+/grPb1qE7a9iSeIxug/Y7OYC6jpuZ03rO8nvmcdbvD/Bv2Ufe062uezCrwIw/6zFNLXFOLg+wWUrj3Y3Xbm6mpbuKF/6w1auW1PDV685jgc3HOCfH3qd7z+5iw+fuxCAU2acwlllN/Horkou+IeB+Zczrvg83/iRYv+sa/ift6zirMXlKKWYXZrH29fU8PMXD/Crl2upDga44eTZXLCsklPmlwz6cy3JH38XsvL4+pszKsbFcR2rq8Mb0xhzamg71E7IOghzb2DjFkdUOGF2aMzvkUsUevJxWkM5tHRHmV+efbwgCMJ4ooypfR1b6C3EUMb4OK49BtrW2LbGMBTdRCgEioy8jOPzvBYJWxNN2PiOclx3UeTpAcPAKh0YNdLQEWFG8RELtR2HYM5bxvw9uI7UPdMgGMrAztSg6FiQdFxj233NGbUSx7UguBURrgVByBmUaTgZ18OIChnJVjTLzLJ13kh+hNqJ3MuiE4QxYmOjlReUsyvhpI6/kOjoxCr/BIsicZ7SNSzuWg+AXngRs8oKefCD/8PPn9zE699az2WrZvCfbz8e/3X30dwV4YsP/51owuaLpy9kzcpSwgvzue0Zg8+VPchvDv8r1YuLeUvH02xfH+PArPNoOvBp5keDnHZxJflf3Y6npohLP3oLcV+QutYevKbBw68f5pwl5Vmdre85fR4XLKukJhRAKcW6tbN4blcTd/11G4sqCrhoRRWGMog0nU91fgeLKgZuI15YU8UnvvjdjOf+zCVLWVJZyCnzS1laVTipecbpUSGmUsTHIeO6cdtrAOTNX8zhJ0xmhTohNIeNBzYyo9jfF5EiOBR5C9EkSCXNSoNGQRAmlKmtW2Mog6AvOG6Oa4BE3MbwmnQlhetilU24du4teqMJfGmO60TCpuVwNws8LVilpSjTHHBcQ2eY42el7ZiK9UK4DQqnZ1TIZDmujbSoEFuaMwqCKxlSaVFK5QGfBGZrrT+glFoELNFaT2inY0EQhCFRxhGO66OHjNpxnWnrfGq1XieQdUDBDbipZtvaxja9kHD+1gLz56IsC6UURX4Ph71zIbGeN+zZLFu6DIAbLjqTc045mXue3cPdT+3mxNkh3nvGPH75Ui3RhM2aOSG+9NxOzlpUzpP3vAHAx+ZUco3xdULLzsH3wmvkFy2lsHcTipOoWGNR8tCdhGNxqn/0G9TcuXz595u57/l9ffO86oiYkCOZVdJ/o6qU4uvXHs+B1l4++uBGfvzutWyv7+TpHY1cf/KsEYnPwTwv7z7dHduBlbffcW2iiI6DcN2wbSN+oLhqFbXaIlTtOKxfq23j+JrsMSHTlUJPARobnVSPWkS4FoScxk31GkDlgAFj3IXrmI3Ha9Kpw8wAClTmBdeUcN0TTRDsE64jtNX3YMc1BdFDWOUDt9DEEjbN3dGB0Vgdyb7YuShcK2PIvkCTkXGNbfc1Z7TRoJHmyILgQobTQPjHQAQ4Lfm4Fvi3YzYjQRCE0ZLKuE5t+crgkh5NxrXHVMQyOq5TFz2Scy24BtfUbDspfirD+Vr9zW8w886v9b0eDi0C4P/0CZw4pz82oqrYzz9ftoxT55fw/Sd30R2Jc//6fZw6v4Sfvf8UTptfyjM7m7jlnAXMLc3j8fgqZiSex7/+P1Crb6ToymtZvenXzLnA5hxjN70vvkjV7bfjnTuXxs4ID244wPlLK/jKVSv5j2tWcfGKqhF9XwGvyf++aw3lhT7W/fAFvvDwFlZWF/OBM+eP9Uc2aSivvz8qBMbFcd29azu9XijsdaJNQosX0BtNsL+lh2UzisZ8/lyj0FOArWxSl+YiXAtCzuOaeg2AOfUz9YO+4LhEhRjJvO9Ug8Yu3QtAQGf+GQW8jujfE40PaM7YkmzMmNe6F6tiYGPGpq4IWjMw47qzzvk6jZszTpjj2upvztjnuB5kx64gCJPLcJZWF2itr1dKrQPQWvcqWYISBMGFKMN0okKSFyD2IML1SC6MLMPILOT0RYWIcC24BtfUbJ28QVGm87djeAdmM8erT+O1hnlsLr2EAt/RlyMfv2Ax19/9Arfc/wq1rb189tKl+D0m9753LS3dUSqL/PREE9z74nw+YAHB2XDp1yjaeYCW/72HtXtfpfmnP6Pg3HMpvvoqAO57fi+xhM2/vHUZ88sLjnrP4VJW4OO+957C/z6zmytXV3Py3MFzqd2O8vlQgCbhRIWMw01bYl8tdSUGM/bVAbMIHX8qOxq60BoWV47+Z5+rFHkLnXgdFHlek+YuEa4FIcdxTb2G3GjVEvKH2Nexb+iBQ2B6kg7chFML2+lxXojGMo7P8/Q7rsnvjwppbXCO8x3egbX0rAHHNHQ4GdgDHNedh52vhTPH/D24DmW603GdSMu4Tr6kbZxW5YIguIbhOK6jSqkAyb9lpdQCnNXhIVFKXaKU2qaU2qmU+myG1z+klHpdKfWqUuoZpdTyEc1eEAQhHcOJCjFSDWYyaC+jzrhOZDiZSjmuJ8YdIAjDYNQ1e7yxEynhOvPr1TVzuCJ6BzMXrs74+inzSzl9YSlPbm+kvNDHRcsdZ7THNPrykc9ZUk5tvJhta++Adb/gcMTDwYrZeGbPpvlH/4vy+aj64hdRStETjfPTF/Zx4bLKMYnWKeaV5fNvV62a8qI1gPI5P0+NjQFEM0UjDUKmRULfwWY6qgpoO9hGwOrCX1HFtvpOABZXFY55zrlGYVK4tpVBod+iK5JZIBEEIWdwTb2GKR9xDYyf4zo9KgSg3XYEaB3LvKCYHhWCmVykj0dob+ihIOSD5oajokIaOp1fdWW64zoVFTJNHdemMidMuE5lXGMn0qJCkk+J41oQXMdwhOsvAH8GZiml7gceBz491EFKKRP4LnApsBxYl0GYfkBrvUprvRq4E/jGSCYvCIKQjjoiKmS8HNde08ic+WqIcC24jlHV7GOBHXf+Lowse7uOSzYkOnNxeeYBOK5rgHUnz8JrHX3Jcur8UnyWwc/j59IbWsJ1//M8V37nWeJnnQdAyWc+w/07u3nwxf18+/EdtPXE+ODZUzfS41ihvM6Ns1YJJyrEHv6NY2tdN3d/9Eka9nX0PWdHIhS29BKfWUZrm0Ww2BFht9d34rUM5pRkbnA1nSnyFaOVjcbAMgzGIa1FEAR345p6DeSE5TrkD9EWaRtRHGAm0pszArTZTuSHjmVeUAykNWckrTljW0MvxUELtD4qKqS+IwxkcFx78sGXg3FaykxambMzGY5rnbAHNGcEiQoRBDcyZFSI1vpvSqlXgFNxFmM/prVuGsa51wI7tda7AZRSDwJXAlvTzt2RNj6fjP5IQRCEYWKYyeaMzsNMF66jybi2zCxb51OK3ATlsQnCUIyhZo87Kce14cm8Rr60qohnP3se1cFA1nOsmVvCb/7fW1gxM/NNnN9jctoCx5Xt8xgcaOmlOODh48ZxfPeOr3NLQ4gNG/ouOzhxdpCT5kx9h/R4o3yOkKxJYKCIZdphkoW63R0k4ja7NjZSMcf5PfXs3YWhwVNZRNu+mcyb6Tist9d3sqC8AMscjm9ielHkKaSdRjQK01AkRrB4IAjC1MNN9Rr6c52nMkFfkIRO0BnrpMg72KzuMwAAIABJREFUevHXtAZmXLclugDQ0WyO61TGdSKZFa7QMcdxPW+e85pVMXCR/kBLD4aCsoK0GLWOQ47bOgcWEY7CMIbluJ6wjGtxXAvClGJI4VopdWLyn8nQJWYrpYqBfVrrwYJdq4EDaY9rgVMynP/DwCcAL3BeljncDNwMMHv27KGmLAjCNEWZhpNx3dec8egxo824Ttj66C7T0pxRcBljqNnjTqo5o+nJHhQ4mGid4qS0xo2ZOGdxOV/8w1Z++NRurl8zi7evqeGGu1/gopcNDNXBf687geNrguxs7JSmgFlQ/tTvwcbQmtgI7L5t9Y4T7cDWFk67agEA9W9uBKAgYNFkFxOaXwPA9rpO1s6ThYNMFPqK0MrGxsAyxidnXBAE9+Kmeg2QV+QdepDLCfmd64W2cNsYheuU49r5HG6xHa9dduE6FRUSd0Rny0+4J0GkJ06B5fwqrfJ+x7XWmj9truP0hWUDF3I7D0NhDsaEgPsyrs1BHNdjdOwLgjD+DMfy8j3gBeBu4IfA88CDwHal1EWDHJdpqfCoTwGt9Xe11guAzwC3ZzqR1vpurfUarfWa8vLsW4oFQZjmKAO07vv0yXThMZqMa0/ShXJUXIg0ZxTcx2hr9rijk45RM0PjxfHk7CXOzWBJvpfPXbaUNXNLuOPqlcwI+vnZ+0/h8uNnMrs0j/OWVjKjeGihfDqSyri2iWJoMmf6Z6Gl1rmhb9zfSU+Hc1Pfsm0zAIUR57MxWFNCRzjGofaw5FtnocgXRGOjlZF0XMuNsyDkOK6p17lC0BcEoDUytpzr9KgQW9u0phzXQ0WFxJLCrOWjvd259slPtDlPpTmuX9nfxv6WHq5cXT3wRLksXA8n49qYQMe10e+4TjVntJNS1URp54IgDJ/hCNd7gROSwvFJwAnAZuACnFzqbNQCs9Ie1wCHBhn/IHDVMOYjCIKQmaRrQSWvODJllI3KcZ0871E7t6U5o+A+9jK6mj3upP7+PP5j6+KaV5bPe0+fxzeuW00wz3mv60+ezdOfPk/cvcNE+fIB0EQwEvawHNeJri7qv3YnDS9twx9uBqD2zRYAwrt20FIAec3OZ2OoKo8d9c6N/+IKEa4zke8tRKuECNeCMH3Yi0vqda4Q8vU7rseCkRSu7bhNZ7STsOHUsmyO6/z0qBAAy09bhweAvN5GUAqrtLRv/O82HsTvMbh4RWX/SXpaoP0ghOaOae6uxcWOa9NICdcOknEtCO5jOML1Uq31ltQDrfVWnCK7e4jjNgCLlFLzlFJe4Abg4fQBSqlFaQ/fCuwY3rQFQRCORqWiO5JO60w7vUaTcZ1aiT+qYZk0ZxTcx2hr9riT+hvzBPxDjBw7n798OWcN0uRRGJz+qJAIKmETT0YjDUbLj39C00/upTdQTlXPNjw6wv6tLdjhMEUbtrNjjkVbeAmBPCgqC7C9vhOAJeK4zojH8juOawwsU4RrQZgGuKZe5wqpqJCxO677M65bw63EU7cXWRzXfo+BUunCtY+2Tj/KUPjaD2KWlqIsR9yOJWweee0QFyyrpNDv6T/Jm484wu7Sy8Y0d9cyHMe1MidMuE53XCulMJRkXAuCmxnO/t1tSqnv4ziiAa7H2cLkAzJ/egNa67hS6lbgL4AJ3KO13qKU+jLwktb6YeBWpdQFyfO0Au8aw/ciCMJ0J+W4Znwd16mV+KOEBGnOKLiPUdXsY0Hq78+bnzeRbyuMAuVPNmfUUVQyJiRu676YpExE9+8nPmc5GoPy5bPoeW0zBzbn0/HXXXh7Yuw9IYQ6vIqZx5WilGJbXScBjzmsXPPpiGl6sZWNViamYUjGtSDkPq6p17lCesb1WEjPuO6KtPUL11kc10opAh6TnmQ8Fpaf9pY8Ckv92A0NWGlRp09tb6S1J8bVJxwRE7LlIcdtPWP1mObuWpQ5ZAaHoQwSE2UGSnNcg3OvJ45rQXAvwxGu3w3cAtyGkxz7DPApnIJ67mAHaq0fBR494rnPp/37YyObriAIQnZSq+dGKipknDKuLTObcC3NGQXX8W5GWbPHneTfX6BQHLZuR/mdqBB0BBV3+gTEEjYeM/vGvMb9b7I334liqTpvDV1P/CcNFSfx8r1/wAjCjKIAXbVlnLjE2R69o6GTxZUFGEZ2MXw6Yxqe/qgQlaHeCIKQa7wbt9TrHCHPysNjeMY147o13Eo01dImEsn+3l6TnrSM67aeQoJz8ohvaRyQb/27Vw8RyvMM3CXW3Qy7n4TTP+Y0d8xFDMOdjuuEcw9nGgqdyriW5oyC4DqGFK611r3AXcn/jqRr3GckCIIwWo6MCslw7TMax7WhhnBci3AtuARX1ezkn0ugsGhC31YYOSnHNTriOK4tiA3RoDF6+DB1s+YAUHHSYhoLnRv6aGeA5443OLO+hB3AzMVOs6xtdV2cu0TiXLJhmR5sbFAGllJHR1MJgpBTuKpe5whKKUK+EG2RMTquPf3CdVukDW0o8HrQ4XDWYwJek95kVIg2/bT1FDGzIkCssQHf8mV947YeaufU+aUDF4bf/IOze3PF1WOat6sZZsb1RDVnPMpxrRSpyx5pzigI7mPIjGul1CKl1K+VUluVUrtT/03E5ARBEEaC6osKca48MmWUpYTrETmuU1EhR67A9zVnlCscwR24qmYn/1z8oeJJeXth+ChPAK00SkcgnowKGaRBo9aaQEs34UAlYU8XNq28uXgVwbYdHJx5Js+v8qO6l+LPU5TMyKehM0xTV4TFleK+z4apTLRyfuaWNGcUhJzHVfU6hwj6g7SGx8lxHbP73NuGP4Ddm124zvNY9EQdI0uPLiFueyku85NobhkQFdLUFaW80Dfw4C0PQckCqFo1pnm7mmFkXBvKQDN0j43xID3jGgZGhUjGtSC4j+E0Z/wx8H0gjrNt6T7gp8dyUoIgCKNCpT7SskeFjEa4Tm1tjx/pQJSoEMF9uKhmO383gaAI167H8qFNMOyo838OgzuuE21tWHGNsipo8ddx/z2n85LXZtaBx4j4S1jRfhKHYquoXuLkW//xtcMAnLm4bCK+mymJoQxs5dxAWxIVIgjTgVHXa6XUJUqpbUqpnUqpz2Z4/UNKqdeVUq8qpZ5RSi0f15m7mHFxXKc1Z2wLt+E1vBiBAHa4N+sxAa/Z15yxPVYBQKE/BraNp8J5HI3btPfGKCtIE667m2DPU47bOldjQmDYjmsY2a7YUZMh4zqRigqR+isIrmM4wnVAa/04oLTW+7TWXwTOO7bTEgRBGAUpx7WdvTnjqDKupTmjMHVwT83WgLbxiXDtfiwf2tAoO4KKA9rJuM5GtM4Roj2qikAowY8L/HzC/x0i166i3XeIJYcvoitRRvUSJwP7Vy/Vsqq6mKVVEhuTDcuwsJVTYzxoEa4FIfcZVb1WSpnAd4FLgeXAugzC9ANa61Va69XAncA3xnfq7mU8HNdG0nFtJzStkVaC/iCG348ezHGdFhXSFnEWafNVN0Cf47q524nUGiBc173mZFMsyPFYc8MccofqaO7RRstgjmvJuBYE9zEc4TqslDKAHUqpW5VSVwMVx3hegiAII0YZA6M7Ml13jGY138wWFSKOa8F9uKdmazDsGP6AxEO4HtMLJhi2c1NtMbhw3bxvOzErD60LWLtiLd2GyacrQzSpe3hp1uPouCNYh0MethxqZ+vhDq49qWYivpMpi6lMbMOpSz5tExfhWhByndHW67XATq31bq11FHgQuDJ9gNa6I+1hPn3hXblP0BccB8d1WsZ1uI2QL4QKBLAHybjOS3Nct0VKMFQcX28TAFbScd3UGQWgrMDbf2C3M4aCqjHN2fUoY8jw6NHsih01lmM+Sndc24P0SBIEYXIZjnB9G5AHfBQ4CbgJ+MdjOSlBEIRRcUTGdSbH9WguisyhHNciXAvuwUU1W2HYMXyBwOS8vTB8LD8YGiPh3FR7NYMKp627X6cnrxKAebNnoRvWsTlg8vVgAW1lm8kLeuk1NP/+zA5+9VItXtPgytUzJ+RbmaqYhomdyri2xXEtCNOA0dbrauBA2uPa5HMDUEp9WCm1C8dx/dFMJ1JK3ayUekkp9VJjY+MIp+9OQv4Q7ZF2EkPkKQ+GYSiUofoyrvsd14NFhVj0xpz37IoWUWg1E9u5EwDPrFkANHUlHdfpGdfdyZ97fo5HaSljyB2qk+q4VorU7CTjWhDcx3CE67la6y6tda3W+j1a638AZh/riQmCIIyU1EWISl4YHfOoEGnOKLgPF9VshdIxfF7f0EOFycX0ggFm0nHt0WpQx3Xnvm10JYXrg4k4Hc0ruaLmg8SUYu2C87n05lXMvKiGjQfaue/5vVy4vJJgnjfr+QSwlNUnXHsQx7UgTANGW68zBSEf9YGhtf6u1noB8Bng9kwn0lrfrbVeo7VeU57WQHAqE/QF0Wg6oh1DDx4E01KO4zqSclz7B3dce8y+5oy9iXwCqp2eDRvwLlyAFQoB0JgUrsuPzLg2PODP8Vi1YTZnhAnKuAYwzX7Htan6IkIk41oQ3MdwhOvPDfM5QRCEySUV3aE1qPGLCjFUNse1RIUIrsNFNVuh7Gi/q0VwL4YBJpiJpHDN4M0Zo3WHaAlWYZiwN+wc85E17+Ous+/ithNvo2p+MeuuXMwp80qwNRITMgwcx7VTlzxaHNeCMA0Ybb2uBWalPa4BDg0y/kHgqhHMa0oT8jkicWtkbDnXpmWQiGtaw60EfUEM/+DNGfN8Jj0R5zM8HPPjo53eV14h7+ST+8akHNelA6JCGh23dS43ZoRhNWc0jYlzXEPS8JTmuI4ny64I14LgPqxsLyilLgUuA6qVUv+V9lIRfT3nBUEQ3INKRoWQSKCUGreoEMt0LiaPcsBJc0bBJbizZisMHZuctxZGjDJVn3Dt1Yr4II5rmtrpKqmmZEY+rzV2UeS3qCzyc1HxRf3nU4q7rjue375ykLMW54aT71hiKAOdclxrm4Sd4yKGIExTxqFebwAWKaXmAQeBG4Abj3iPRVrrHcmHbwV2ME0I+oMAtIXbYAwmZtMyiMXidNgdhPwhjEDzkM0Ze2IJtNaEY16CsW7snh7y1qzpG9PUGSXPa5LnTZNguptyPyYEXO+4NgyFnYqalOaMguA6sgrXOCu3LwNXJL+m6AQ+fiwnJQiCMCqSK/Xa1k6UWobrDqUUCjXCjOvkhZQ4rgX34tKaLcL1lMEEM5lx7dGDO6497WEiM6uZU1PIjvp2FlcWojK4xWpCeXz0/EXHbMq5Rl9UiNYMtm4gCMKUZkz1WmsdV0rdCvwFMIF7tNZblFJfBl7SWj8M3KqUugCnCLcC7xrn78G1jKfjOhyNgOXEjyj/UM0ZLRK2JpqwCYdNzN5u5/kjHNdlBUfEp3U3Qv40WNxV5pBdDycy4xqSjuuEI5JbhiJ1mycJkILgPrIK11rrTcAmpdTPtNaiygiC4HpUMosaO4GRxXENzoXRiITrrFEhqeaM4rgWJhd31mwn41qYGijDwBNPZVwzaMa1pzcP2yympDqfbc/VctmqGRM1zdzG6G/OKBnXgpCbjEe91lo/Cjx6xHOfT/v3x8Y2y6lLyO8I123htjGdx7BUn3Ad8oeGbs7ocUTXru4Y8bjC6Azjra7EU1HRN8YRro/o99DTBCXzxzTXKUFaLEfWISnH9UTdV5kmOqlSG0oRRzKuBcGtDBYV8jrJRg+ZXDRa6+OO3bQEQRBGQcpxnbDBUNhZtnoZyhjRNjRzyOaMIlwLk4s7a7ZCHNdTB2UqPHHHTeZFEc9iOYq2txH3OpnVVomP9t4YSyoLJmyeuYxOZlxbSFSIIOQq7qzXuUOxz8kHGQ/HdSQSgbyk43qo5oxe556grc0Zo9vDBJbNGTCmuSvKnNK8gQd2N00jx/UQGdeT6Lg20xzXIlwLgvsYLCrkbRM2C0EQhPEglXGtbQwFZLnuMQ0TewT7wLIK1xIVIrgHF9ZsAyXC9ZTBsAysWOaoELu3g+fu/CHLLz2RXt1LV341AM3Jq8jFlYUTPt9cRBvOz9y0NXHZqiwIuYoL63XuELACBKzAmB3XpmXQnayJJf4SDH8AHQ6jbTtj0+lAUrjuaHeOscI95C+ePWBMU1eEk+aG+p+I9kC0SzKuU0MmI+Pa7o8KSSQNT7YI14LgOgaLCtmX+rdSqhJIBTS9qLVuONYTEwRBGCmpC0mdSKAGcVwr1Kgc10c5EKU5o+AS3FmzFdLLeeqgLANvJBUVogZEhTQ9+hM2HT6ByEMbOFx4gEBBNR5vmN2dzrbpRSJcjwt9jmttk0gcLYwIgjD1cWe9zi2CvuC4OK6jUWfxvSxQBgE/ADoSQQUCR41PNVzs6kguAMe7yZvfL1LHEzYtPdGBGdc9Tc5XcVwD/cL1RDmuMQ1Ia86YiKeaM07M2wuCMHyGvCpWSl0HvAi8HbgOWK+UuvZYT0wQBGHEpBwQto0aIuNaM/yrEispXB8lhIvjWnAZbqrZGgVKHNdTBcM08cSSwjUQTzmuO+s5vGEjAHvaluDd/QxdBdUUlZvsaOgklOc5OrNTGB0q6bjWknEtCLmOm+p1rhH0BWkNj1G49ihisTiWsgj5Qyi/I1ZniwtJRYV0dTp11G904Mnrvz9o6YmiNZSn18vuRufrtHFcDy5IT7TjWhkmOpHuuHael6gQQXAfg0WFpPgX4OTUCrBSqhx4DPj1sZyYIAjCSFFmUkhOJFBG9hVzwzBG1Pijz3GdkOaMgutxT81WCqVkUWeqoDwmnoQGU+PVEE05rp+6k4PhRWiliehCjNhcuvOqUCVBttV1sriyMGNOqzBy7GRzRlPrvi3LgiDkLO6p1zlGyB+iLTL2qJBYLE5poBRDGRgpx3VvL4RCR41PRYX0dDoL9nm+bujtn0NTp+PEHuC47m52vorjGpj4jGvHce3MyVCKePJ97SPv9wRBmHSGsw/ROGLbUvMwjxMEQZhYUs0ZbT2k43okF0VmNse1NGcU3IeLarYCEa6nDIZlYiUAj41HK2ehrmU3+qWfcMBeza6SjUTNMI2ey9GGxcaeGDvquyTfejxJCde2PrqngiAIuYaL6nVuMS6Oa8sgEbcpDziisvI7wvVQjutwlyNcB3wR6O2fQ1OX48QuK0wXrqeT49pwXca1Mkx00gVupmVca1k4FgTXMRzH9Z+VUn8Bfp58fD3w6LGbkiAIwuhQSYEZ28m4znbhMfqMa4kKEVyPa2q2RoEhizpTBdOyHOHa0ngiyUz/nY/THqsgHvVTW7QDj1HInMZFADzV0E6nqVlcWTC5E88hdLrj2tZorcXNLgi5i2vqda4R8ofGnHFtmAZ2XFOe5wjXRjLX2u7tzTg+P5lxHemJYSYieAstSGsQ2SdcF2QSrsVxDf2O6wkTjtMc1wOEa1k4FgTXMaRwrbX+J6XUNcAZOJ2W7tZaP3TMZyYIgjBSUo7rhO1EhYxTxnVKuD7KASfNGQWX4baarUS4njIYHgvLBjw23ohJNG4T3fk6m7eshUooamzhgvoD7MhfhCJOi+F8HkpjxnHEdIRrpW3AIGFrLFOEa0HIRdxWr3OJGfkz6I510x5pp9hXPKpzmB6FTtDnuDaSjmudxXGdigqJ9cTwxLowi/IyOq5Lj8y4tgLgzR/VHKcUhul6x3VMMq4FwbVkFa6VUt8BHtBaP6e1/i3w24mbliAIwshRZqo5YyIZFZJ53IgzrlU24Voc14I7cGvNVqZc/E8VTMuDJw54Eni0SdzWdL28hXr7PDzRTj75yGYS+QfYc8o5hKqDrC1LsH5Pi0SFjCM6uRhgJF1fcVtjmZM5I0EQxhu31utcoqagBoCDXQdHLVwrE1TC6HNc9zVn7B08KsTuiuCJdWOVFkJvfd/rTV1RvJZBoS9Nfulpnh5uaxie49qYvIxry1DEk7V3iB6SgiBMAoM5rncAdymlZgC/AH6utX51YqYlCIIwCsxUxrWNMoysW81Gm3F9dFSINGcUXIMra7YyRLieKpgeD1YCtGXj0RBP2MTqGmkLLmR32W7+fsaV3Pm5j3BWvYEvYDE/ZPLYGw2U5HuHPrkwPJJ/L2ay1kjOtSDkJK6s17lETaEjXNd21rK8dPmozhElgqGtfsd1qjljOHNUiD+5yqh7YlixbqxQEHrf7Hu9qTNCeYFvYPxTd+P0yLeGpON68HuvCXdcm1af49pQknEtCG4mq3Cttf428G2l1BzgBuDHSik/Tg7Xg1rr7RM0R0EQhOGRuhi0bZQysm71GmnGdWqrtn3k+aQ5o+AS3FqzlSUX/1MF5fViatBWHK9WxOJxOttMwnPLqS/ZyAvGGVTMrsK/wPncmw+smVsyuZPONcyBjuuE3DwLQs7h1nqdS1QXVANQ21U76nNECGPaFuV5QQCUL9mcMYvj2jAUAY+J7k7gjXVhlpVCfZsj1hoGjV0RygqOWOjtboSCqlHPcUqhjCEd1ynhejIc16ah+gxKEhUiCO5jyM7FWut9Wuuvaa1PAG4ErgbeOOYzEwRBGCEq5bhOJDAMlXVh3zTMEa2mp6JCjnZcG4CSqBDBNbitZhseyeedKiiPx/mHEccD+HvraWABAJGgl2CeF79HciuOKamokJTjOiE3z4KQq7itXucSBd4Cgr4gtZ2jF67Duhczg+PazuK4BijwWxBXTlRIWTloG6KdADR3RQc2ZgTobppmjuvhNWccSZzjWHAyrtOEa0S4FgS3MqRwrZTyKKUuV0rdD/wJ2A78wzGfmSAIwkjpy5zWKENBFnHaUMaIHNepqBA70/kMS5ozCq7BbTXb9Ax5mSG4BOV1nGC2EcOLoqj3AJ04N+xxTzVVRf7JnN70IClcq7SMa0EQchO31etco6aghoNdB0d9fI/djaktygKOsKxSzRmzOK4BZhT50NrAindjVc50nuxtA5zmjAOEa62nl3A9jIzryXFc9zdnTEjGtSC4lsGaM14IrAPeCrwIPAjcrLXunqC5CYIgjAhlpKJCEiiVIdojyagzrjO53wxTHNfCpOPWmm34BmulIbiJlHCtVRSPhuLWXUSNEJoo3b2zqBDh+pijkn8uhmRcC0LO4tZ6nWvUFNawtXnrqI/vsbsxKKDYdKJCjECyOWM4u3A9K9+PIoYn0YtRUuk82duKXTyb5u4oZYVpUSGRTkhEpk9zRsN0HOiD0Oe4nqiM63THtVLEk9MTx7UguI/BrFD/DDwPLNNaX661vl8KqiAIrqYvKsRGGSqb4RqlRpZxnRKuM4oIhiUZ14IbcGXNtnyeyZ6CMEyU13GCRXQXHg2hxl1EfMXEjA6aOrxUFvqGOIMwZo5yXIvtSxByEFfW61yjprCGQ12HRh070WU7ER/Yzj2A8jk1MFtzRoCZec4Yv0+h8pM9IMJtNHVHSNia8nTHdXej83W6CNfKcITrQaIa3eK4luaMguA+BmvOeO5ETkQQBGGsKCO5FmcnUEplvfAw1cgyri0j1eU6wzFq6Mw2QTjWuLVmF+cVTPYUhGGSEq47Ys0UoChoqifiO524v5emriiV4rg+9iSbMypxXAtCzuLWep1rVBdUE9dx6nvqmVkwc8THd8U7KAISSRuuUgoVCGRtzghQ4fUQBTwBEwIh58neVrbXdQGwuLKwf3B3k/M1bxpFhYAjXqvM/TJSwvWkOK4NRczWgMq6Y1cQhMlDwicFQcgdUo5r20ap7Fu9RppxndLDMzuuJSpEEDLh1T0UzJgmTqIcICVct0edm2lfWwcRbzF2oSZhayqLxHF9rElFhUjGtSAIwtioKawBGHWDxo5EO9AvXAMYfj86kl24LvE4H+Iq4AG/EzFCbxtv1nUAsKQqTbjuSQrX0yXjOs1clI1UVMikOa6lOaMguBYRrgVByB1UKuN68KiQkWZc9zmus0WFSHNGQTiKoPcQ+TOLJ3sawjBJCddR29mxbnTHifiCUOzEvUjG9QRgJrekJ0uNuL4EQRBGR02BI1yPtkFje8JpqpguXKuAf1DHdXHyfiHu9wxwXL9xuJPyQh+l0zoqJOW4zn7P5A7H9ZBR3IIgTAIiXAuCkDOovozrZFRIlpv+kWZcp3o+ZnS/ieNaELJi+fImewrCMFG+lDAdBaA9GsI2fag8p5mURIUce4yUcG2L41oQBGEsVOVXYSqTA50HRnxsLBGjI55yXPd/Dhv+APYgGdcB7XyG9/h94AmA6YWw47hemu62BuhKCdfTxXGdFK4HcVynhOsJy5g2DYgnku+t+mquZFwLgvsQ4VoQhNyh76JIJ3uAjE/GtVLK2UKWqVGWYYE00BKEjHh8gcmegjBMlN/5XWkdAaBdJzNB/fkAVIlwfexJxX4my5NkXAuCIIwOy7CYkT+D2q6RR4U0h5tJGI4p5aiokEEc1/REUHacZsvn7AINhLB7WtlR38WyGUUDxx5+FYJzwJomMVzDcFynokIm1nHt/H4tQ/XVXNntJAjuQ4RrQRByBmX256cZg0SFjDTjGpLZZ5n0aWWI41oQslBaXDT0IMEVKK8jTFsqBkCPqgQgbhagFJQVeCdtbtOFVMY1knEtCIIwZqoLqznYOfKokIaeBmzl3CcMjAoJYIezC9e9zV14Yt3Um8ndZv4g3e1NRBP2QMe1bcO+Z2HumSOe25RlOI7rZNTKxGVcm5DojwqJaz1ojyRBECYPEa4FQcgdkhc8OmHDIFEhI824do4ZzHEtwrUgHEXVKopnrZjsWQjDRCXd8aWm4/4Kex3hulvnU1bgwzLlkvFYY1ipG3vnS8aaIwiCIAyLmoKaUTmuG3sb+xzX9lGO6+xRIb3tYTyxLg7o5A6lQIhwRzMAS6vSFvIbtkJvK8w9Y8Rzm7L0Oa6z17WJd1wbAzKuba2dHklSegXBdchdiCAIOYMy0h3X2TPKRppxDaktZBlekOaMgpAZwwLTGnqc4ApSUSGlltOMsSdQAUBdNE5l0TTZyjzJGJaBshP9juuEuL4EQRBGS01hDS3hFnpiPSMi+DDrAAAgAElEQVQ6rrGnkYRKRoXE+j+HVcA/qOM63BXFE+9mTyK5QykQxO5pxTIUCyry+wfufcb5Ovf0Ec1rSpN2j5Z1iJoMx7XzXqbhZFw7wrXUXkFwGyJcC4KQO6SaM9o2ylBZo6dHmnENYGTNuJbmjIIgTH1SjusK0xGuewPl2GaEw91RKgsl33oiME0LpfuF64Q0iBIEQRg1NYU1ACNu0NjY24g2jo4KGao5Y6QngSfWzT7bT280AYEQZqSdBeUF+FI7agD2Pu3kWwdnj2heU5qRZFwPIm6PJ+mOa0M5EZMq6bwWBMFdiHAtCELuoJxu3iRs1CBRIaPJuLYMlTlv1DClOaMgCFMelWzCWJZciLNNL+TFqe8IUyGNGScEU5kobaP6okLk5lkQBGG0rCh14sqePfTsiI5r6GmgIFAAQCJtu6URGLw5YyQKnlg37b58Drb1gj9IINHB0hlH5ls/N73yrWF4GdcT7bi2+h3XlqGSc5CMa0FwIyJcC4KQM6g+x3XC2eqVZcV8VBnX2VbglTiuBUGY+ii/00yqsrO+7zlPsUlzd1SiQiYIS5mA3Ve7pDmjIAjC6JlVOItVZav4854/j+i4uu46SvNDwBHNGf3ZmzPatiYcN/EQIW5YHGrrJWwVkk8vyysC/QMb34DelumVbw0jc1xPWMa12e+4TgrXSMa1ILgSEa4FQcgdUqv5CTvZFTrzsNFkXJuGypw3KhnXgiDkAMrnCNdlLbVgRwHwFjo5nZXiuJ4QTMN0okKSgnVCMq4FQRDGxKXz/j979x0nV13vf/z1PedM2Za+KSSBJNQQCIihCAIiRECvgAoKioViR/3BtaAIXjuKDa8ovYhXAQUUgRCq9JKQhJKEFJKQnmyyu9k2O+Wc7++PMzNbMrvZvpvJ+/lPMrNnZ7/hoTvnfOZ93t/TWVq9lNU7Vnf5e7Y0bWF02Sigbcd1Z5szJupTgCEeDS8+NtQm2JwKB9YzRrf6Xb4n9ltDlxLXJnvn7MB1XDttOq5za1DiWmTo0eBaRIqGcbO/0mzQL4nrgn2jjqfEtYjs9kz2tuj4jh14fji4rg3CC83xGlwPCNd4GBu0bM6oi2cRkV45dcqpGAxzVs/p0vHWWjY3bmZM+WigXeK6JI5Np7GZnc/7m+rC983yMgfXMayvaeLh1eFxh5bWthy4+pk9r98aWiWuO77+GszEda4qxDio41pkCOrXwbUx5jRjzDJjzEpjzOUFvn6ZMWaJMeZ1Y8wTxph9+nM9IlLksjtW2y50XPdocN1hx7US1yKyezMlYcd10+YYnp8E4Nm1YbKsskJVIQPBddzwol4d1yIifWJs6ViOHH8kc1bP6dLG7HWpOhKZBGPLK4GdN2cECJqTO31f045wcF06PMb4YXH+9so6bly/N4HxGL76ofCg5h2w8gnY7+Te/rN2P9lrtCHVcd0qce2YVolr3e0kMuT02+DaGOMC1wGnAwcD5xljDm532EJglrV2JvAP4Jf9tR4RKX6m1UmRcfKhtZ30NHHd8eaMGlyLyO4ttzlj49YoTrYq5LwT9uUbJ+/P9AnDBnNpewzPuBj8/HtXwbt8RESkW06fejpr6tawtHrpLo/d3LgZgHHDxgLtBtcl4d1HtnnnupDGHeEwu2x0GRNHlFDdmOLQ/adi9jsZ3rwv3JRx8f2QScDh5/f637Tb6UbH9UANro3jgp9NXLstiWtVhYgMPf2ZuD4KWGmtXWWtTQF3AWe2PsBa+5S1tin78CVgUj+uR0SKXX5zxs4T1z3puPYcQ1Do9bQ5o4gUgdzgGmuIxMLTwxMOH8+lsw/Idz9K/3IdD2zL5ox+oB2iRER6a/Y+s3GNyxNrn9jlsVuawg2Kxw8bB0DQbnNGoOAGjQ2bagAYNmUc+44tY3hJhGvOPgxz6NlQtwHWvQQL/wKVB8HEI3r9b9rtdKHjOpe4HqiqEFwXG7RNXGOMqkJEhqD+HFxPBNa1erw++1xHLgIKlk8ZY75gjJlvjJlfVVXVh0sUkWKST1z7AU4fd1w7pqPEtTZnFJHdn/E8MOHvuPjIMGFdNlwVIQMpTJsF+cR1wQ2BRUSkW4bHhjN1+FSWVS/b5bG5xPWE8vFgwM+02pwxl7gusEFjw8ZqvHQTJdOm8L0PTufRS09g/PA4HPhB8ErgPz+H9fPgXeeD2QM/DO5K4toZ6MS1k09cu07rxPWA/HgR6Yb+HFwX+o1c8AzcGHM+MAu4ptDXrbU3WmtnWWtnVVZW9uESRaToOA428DGGwglpetZx7bkdJK4dJa5FpDjkritjY0eDgdLh0cFd0B7GdTyMbVUVotuVRUT6xAEjD2BZTdcG165xqSytxPWctpszxsPBdaHEdeO2RqKpOqJT9qEiHmFcblPjWDkceFq4KaNxYeYn+uYftLtxdr0548B3XLckrlsG1x3fsSsig6c/B9frgcmtHk8CNrY/yBhzCnAFcIa1duedDkREusN1wQ8wjungo7Iw1dbd29DczhLX6rgWkSJgHENkVAmxEeWUVERx3X7dw1vacR2PNolrXTyLiPSJA0cdyObGzexI7uj0uM2Nm8OhtePiuqbw5owFEteNdSmi6ToiEybs/KKHnB3+ecBpUD625/+I3Vnuk/FOKrByHdcDVRViXAebS1y3qgrR4Fpk6OnPK5J5wP7GmKnGmChwLvBA6wOMMe8CbiAcWm/tx7WIyB7COOE9Xn2duHYdUzj9ps0ZRaRIRCZPYdgZH+Owk/fm+I/vP9jL2eOEt0kHSlyLSKeMMacZY5YZY1YaYy4v8PXLjDFLjDGvG2OeMMbsMxjrHEoOGHkAAMtrlnd63OamzYwvHQ+AG3EKV4UUSFw3N0NJxA9rt9rbfzbM+Agc/989Xf7uL1fn2MlQesAT14U2Z+zk+lFEBk+B36x9w1qbMcZcAswFXOBWa+1iY8yPgPnW2gcIq0HKgb+b8FOutdbaM/prTSKyB3AcbDZx3dHeGj2qCnGcwkMEbc4oIkViyv3/wrguxnUZN3XYYC9nj+M5HuAT2AigxLWI7MwY4wLXAbMJ73CeZ4x5wFq7pNVhC4FZ1tomY8yXgV8Ce2hHRejAkQcC4eD6yPFHdnjc5sbNzBg9A6BAVUgucd12cG2tpTmIMa7MLfyiXgzOub0Xqy8C2aH0rsI+rnHxBygQZFwHgnBD5NabM2pvRpGhp98G1wDW2oeBh9s9d1Wrv5/Snz9fRPY8xnEg8DvtKOvJ4NpxOki/aXNGESkSTlSd1oPJdSLYVu9NSn2JSAFHASuttasAjDF3AWcC+cG1tfapVse/BJw/oCscgsaUjGFkbGSniWtrLVsat3Dy3icD4HgOfrpVVUg+cd22KiTVlMZ3IpSNLOmHlReJLmzOCD27Rusxp6W+JNdxjUFVISJDkMoLRaS4uG6YuO6ko6wnHdee4+AX+gje8cBX4lpERHrHNWHHdWDDC2glrkWkgInAulaP12ef68hFwJxCXzDGfMEYM98YM7+qqqoPlzj0GGM4YNQBLKvueIPGmmQNqSDF+LJsVYjnEBTanLFd4rpudbiNV/k43anUofyQeNeJ64EaXJvcPh6+r8G1yBCnwbWIFJUwcR1gHPq0KsRxOtic0fUgSPdgpSIiIi1yVSGW8ALa72QTKxHZY5kCzxU84zXGnA/MIqzn3PmbrL3RWjvLWjursrKyD5c4NB0w8gBW1q7ssIpic+NmgJaOa8/g+607rrNVIe0S13Ur1gNQsfceuvFiV3QjcT1QmzPmhuk2CFo2Z3SM7nYSGYI0uBaR4uI42H6oCvEcU3iI4EbB1+BaRER6x3UjWAKsEtci0rH1wORWjycBG9sfZIw5BbgCOMNamxygtQ1pB448kKSf5J36dwp+PT+4bpW4bt1x7cQLb85Yvy5Mqw/bt7Pg+x6uVS1Hp4cNYFVIwcQ1YWWMiAwtGlyLSHFxHehCVUh3T4pcx+AX+hYnosG1iIj0muuEVSEWgzEd7KsgInu6ecD+xpipxpgocC7wQOsDjDHvAm4gHFpvHYQ1DkkHjDwAgOXVhXuuc4PrcWXjgOzgulXHtYlEwPN2qgpp2LQDgGHTJvT5motGbnPGoZS4dsPt3uxOHdcD8+NFpOs0uBaRomIcF2sDnF1UhXT3pMg1HSWuVRUiIiK95znZxDUGr6N6KhHZo1lrM8AlwFxgKXCPtXaxMeZHxpgzsoddA5QDfzfGLDLGPNDBy+1R9h2xL65xO9ygcXPTZiJOhFHxUUC2KiTT9tzficd32pyxsaYJYzPEy7XBcYd2m47rjoNPIjJ4vMFegIhIn8omrjs78ejJbWiuawqn35S4FhGRPuC6ETDNWBxc9WyKSAestQ8DD7d77qpWfz9lwBe1G4i6UaYOn8qymsIbNG5u3My40nE42XRwWBXS9hzflMR3Slw3NfjEy1MYU6h+XICh33HdKnGt916RoUeJaxEpKsY4EPg4jumwo6xHg2vTweDajYaJa/WhiYhIL7imdeLaUeJaRKSPTR81nTe3vVnwGmFL45Z8vzXkBtdtj3PiJW02Z7SZDIm0S0lMv687tdskrlHiWmQI0uBaRIqL62L9AGPCWXKhE1M3+6l/d06MOrxtO9uPRpDp0XJFREQAXNfD4hNkE9fquBYR6VuHjz2c6uZq1jesb/P8tsQ2ltcsZ1LFpPxzjucQFKoKaZW4Tq1dRypSQemwSP8ufHeXT1zvYnNGZ+A2ZyyUuLbGKIskMgRpcC0iRcU4DgQBJncCUqjdI3sLYHduRevwtm0ne6KquhAREekF14lgTZCvCskU2ldBRER67LDKwwBYtHVR/jlrLT968UekgzQXHnJh/nk34uzUcW1KSgiaWwbXVb//PanYcComV/bzyndzQzxxHc3+3aKqEJGhSINrESkurosNgnzPXMHEtdP9xLXbYeI6uxGLn+r+WkVERLJcN1sVYpS4FhHpD/uN2I9Sr5TXql7LP/fgqgd5at1TfO1dX2Pq8Kn558OqkLbXCl5lJYmFC2lasJD6//yHHXMfJR0pp3yvUQP2b9gtZUNDQ7XjOpIbXKsqRGRI0uaMIlJUjGPA91vOjwILbrtjCIfa3R1cB4Xi2242ca2qEBER6QXPieYT155jyPi6eBYR6Uuu4zKzcmZ+cF3bXMvVr1zN4ZWHc/7089se65qdOq7HX/E91l5wIWsvugi3vBwOmAlA2fDowPwDdlfdSVwP0N1GrRPXkVg28ITV4FpkCFLiWkSKi9MucV3g3KcnHdcdJq6d7Od/qgqR3Zgx5jRjzDJjzEpjzOUFvn6ZMWaJMeZ1Y8wTxph9BmOdIsUsTFz7LYlrFW2KiPS5w8cezvKa5TSmG/nHin9Ql6rj+8d8P39HZk6hxHVkr73Y5y93Ep08mUxVFeVfvhSA0mEaXHcq33E9BBPXvp9PXAcUrpkUkcGlwbWIFBe3fcf1zmcfPe249gul3/KJaw2uZfdkjHGB64DTgYOB84wxB7c7bCEwy1o7E/gH8MuBXaVI8XOdbFVINnGtqhARkb53WOVhBDZg0dZF3PXWXRw94WgOHHXgTsflOq7bX0t4lZXs89f/Y+p99+KPC6tFykfGB2Ttu60uJq4dM3CbM7ZJXKvjWmRI0+BaRIqKMQ428MkGrgve7pXvuO7GrWiu6SD9lu+41uBadltHASuttaustSngLuDM1gdYa5+y1jZlH74ETBrgNYoUPdeNEpiWjuuCd/mIiEivzKwM6z2uXXAtW5q28KmDPlXwONczYAsPMt3ycuIHH0xDbRKAshGx/ltwMcgnrju/9nKNO0gd19kaSdRxLTIUaXAtIsXFdcFvnbje+ZB8xzXdGFy7qgqRojURWNfq8frscx25CJhT6AvGmC8YY+YbY+ZXVVX14RJFip/nxrAmrArxHKfwXT4iItIrw6LD2G/EfiytXsrE8omcMOmEgsc5XrY+ItPx7+LG2mYc11BSHumXtRaNIZi4pnXi2mtVFaLBtciQo8G1iBQV44RVIU5ucF0oJdGDjmvPMYVvHVNViOz+TIHnCp61G2POB2YB1xT6urX2RmvtLGvtrMrKyj5cokjxc91IuDmjcXCUuBYR6TeHVR4GwHkHnbdTt3WOmx1mtu+5bq2hNknZiFg+MCMdyNY07ipxPZAd18bNdVwHRF0NrkWGMg2uRaS4uLnNGcOHhYbNjpM9Ed3Fp/5tXtaEQ4SdOrPzVSGpHi1XZAhYD0xu9XgSsLH9QcaYU4ArgDOstckBWpvIHiNXFYJx8Qz43aizEhGRrpu9z2wOHHkgH9n/Ix0e05XBdWNNkvKRqgnZJadrmzO6xh24xHX2epCg9eaMVh3XIkOQN9gLEBHpS8YY8P2W5EOhkHQPEtdu9uQmsOC2DlXkq0IyPVmuyFAwD9jfGDMV2ACcC3yy9QHGmHcBNwCnWWu3DvwSRYqf50axhBf1nkGJaxGRfnLcxOM4buJxnR7jeuEJv5/uJHFdk6Ryn4o+XVtRMl2vChmMxLXrGBwTXucN1NxcRLpOiWsRKS75xHW2x7rAhX+POq5zNWjtX09VIbKbs9ZmgEuAucBS4B5r7WJjzI+MMWdkD7sGKAf+boxZZIx5YJCWK1K0XCeKb8L3mKgNCApt0iAiIgNiV4lray2NtUnKtTHjruWrQoZOx3VucJ0bpkdch4ACd9eKyKBT4lpEiopxHWwqaFWlVqDjOnu7WtCN27DdfL2IqkKk+FhrHwYebvfcVa3+fsqAL0pkD+N6MawTXkBHsaS0OaOIyKBpGVwX/l2cbMqQSQeUj4wP5LJ2T/nNGTu/9nIdt1tVjr3itCSuAaKug0/h0JOIDC4lrkWkuDguNmipCin0obmTnWp351Y0L/t6fvsXdLKJa1WFiIhIL3huLOy4BmIm2PmDUhERGTDReJjxSzUXPsdvqAm3+yhT4nrXTNc6rh3jYAvvD97njNvScQ0Q8RwCa7U5o8gQpMG1iBQXx4DfUhVSMHHdg45rJze4bp+Ac7M3rqgqREREesFxvfzg2gvUcS0iMpjiFWE4pbm+8Dl+Y204uNbmjF3gtB0Sd8Q17oB1XOO2TVxHXIOPOq5FhiINrkWkqJh84jp8XKinLN9/3Y0zk1ziOtP+Frd84lpVISIi0nOucQlMtirEKnEtIjKYSivCOsCm+sLn+A01zYAS111m3K51XHejyrFXy2k3TI+4Dr4S1yJDkgbXIlJcXBcC2ypxXeCQbOK6O5/oOx1VheQ7rlUVIiIiPec5LYnrCEpci4gMpnh5GE5JdDS4rk2CgdLh0YFc1u7LcYdo4jr7gbHr4Fu0MbLIEKTBtYgUFeMY8P2WwXWBk49cx3VPEtc7b86oqhAREek917j4TnZwbQNtECUiMohczyFW6pFo6LgqpHRYFNfVSKVLupq4HqiujnziOlcVEiausYWvH0Vk8Oi3rIgUF8fFBkE+IV3oxKMnHdduR4NrVYWIiEgfcIyTrwrxbLBzNZWIiAyokopoh4nrxpok5aoJ6TrHzQ+JOzKQiWuTS1xnsu+7rsnfWau6EJGhRYNrESkqxnXCk6JwzlywKqQniWvXdJS4zlWFKHEtIiI9Z4yBXFWIteq4FhEZZCUVkU6rQtRv3Q1dSFwbYwYhcd3ScZ3JD64HZgki0jUaXItIccluzthZ4jo3uO7OJ/qem9ucsaOqEHVci4hI7wRONvmFVce1iMggKymPkqjvuCqkfGR8gFe0G3OcLnVcD9TgOp+49sOfF81VhaCea5GhRoNrESkujgE/CLuuoWBHaE8S147p4PXyVSFKXIuISG+F7zGur8S1iMhg6yhxnU76JJsylI3Qxoxd1sWO6wHbnLF94tozZLJvu6oKERlaNLgWkaJisolr00lVSK7juluJa6ejxHWuKkQd1yIi0ju5xHXEBEpci4gMspKKKM0N6Z0GmY21SQAlrrvDcYd04jrSKnGtwbXI0KLBtYgUF9eBwOYT151VhXRnx+gON2d0s4lrVYWIiEhvOUH2DyWuRUQGW0lFBGuhuantnZUNNc0A2pyxO4Zc4jocXKvjWmTo0+BaRIqKcVzw/ZbBdSdVId05MepwcG1MeCKmqhAREeklm92c0bOBBtciIoOspCK8szJR125wnU1ca3PGbnBcCDqfCLuOS7CLY/qKcbNBJj+8Hoy2GlwXqpoUkcGjwbWIFBfHwQZBq6qQnU88clUh3bkVze2oKgTC1LWqQkREpJdsNnHtKnEtIjLo8oPrdj3X9dvDxHXZSA2uu8w4QzRxnasKMfn33e7clSsi/U+DaxEpKsZ12iauC5x39CZxXXCXaTeqqhAREem93OAayAxQ6kxERAorKQ8rARMNbRPX29c3MLyyhEjUHYxl7Z662HFtGZihcfvEdcR1SAfquBYZijS4FpHi4rhYazFm11UhPem4zviFJuGeqkJERKTXrDquRUSGjI4S11XrGxgzuXwwlrT7Gmod19nNGcltzuipKkRkqNLgWkSKi2OyievwYV8lrj0n/J7CiWtVhYiISO/lq0JsULiaSkREBky8PAKm7eA6lchQV5VgzKSKQVzZbshxd7nroWsGsuM6HFzboKXjuiVxPSBLEJEu0uBaRIqKcVxsEOB0sjljzzquwz8Ld1yrKkRERPqAE77HGGuxVqkvEZHB5DiGeFmERH3LnZXb1jcAKHHdXWbXVSGD0nHtt3Rc5xLXqgoRGVo0uBaR4uI6EAT5qpBCF/0967jOfk+hFICqQkREpC+4LZszAvjaIEpEZFCVVETbJK63ra8HoHKyEtfd4jhdS1wPUNw533EdtHRc5/aW0OaMIkOLBtciUlSM47apCim0v0ePOq6zg3C/0LmUqkJERKQvZN+7ssFr9VyLiAyy0opIm80Zt61roKQiQunw6CCuajdknF0mro0xg9dx7Tqks9d5uttJZGjp18G1MeY0Y8wyY8xKY8zlBb5+gjFmgTEmY4w5uz/XIiJ7CMfB9kviOje4LjC5VlWIiIj0hdzmjNkPVtVzLSIyuOLlbRPXVevqGTOpPH+tIV3Uhc0ZBzRx7bRPXBss6rgWGYr6bXBtjHGB64DTgYOB84wxB7c7bC3wOeCv/bUOEdmzGNcJE9fZk8lCqeqedFx7bieJa1WFiIhIX2jVcQ3g+xpci0hbCocNrNKKCE3ZwbWfCaje1MgY1YR0nzPEOq5zietMS1VI7jJPHdciQ0t/Jq6PAlZaa1dZa1PAXcCZrQ+w1q6x1r4O6DMtEekbuY02siGIQoPrniSunewgPFMwcR2BQINrERHpJbft4Lrge46I7LEUDht48YooycYMgR9Qs7mJIGO1MWNPdDFxDd0LF/V4OcaAMW06rm32+lFVISJDS38OricC61o9Xp99rtuMMV8wxsw3xsyvqqrqk8WJSHHKbbRhsic8hc57etJx7eWrQgqVZkeUuBYRkd7LDa5zmzPq4llE2lI4bICVVkQASDSk8xszjpmkxHW3OS7s4sPYnoSLesV1WzquPSWuRYaq/hxcFyp96tFvAGvtjdbaWdbaWZWVlb1clogUtewJj8l1lPVR4trtbHDtanAtIiK9Z/KJ6/Cx340PWEVkj6Bw2AArqQg3YUzUp9m2tgEv4jBiXOkgr2o3ZJxdJ66dgUtcQ9hznUtcR12TH1ZpcC0ytPTn4Ho9MLnV40nAxn78eSIikEtck0tc903H9S4H16oKERGRXjK5tqtcVYg6rkWkLYXDBlhJNnG9fUMDqxZVMWZyOY6jjRm7rYsd1wD+Lo7rM60T1607rvWhsciQ0p+D63nA/saYqcaYKHAu8EA//jwREUz2k3oT7LoqpDuJ63xVSKETGScCfmrn50VERLrDC//Ib86o1JeItKVw2ADLJa6fuvMtEo1pjjt7/0Fe0W6qGx3XtmefxXRb68R1xHXyP1XbS4gMLf02uLbWZoBLgLnAUuAea+1iY8yPjDFnABhjjjTGrAfOAW4wxizur/WIyB7Cyf1a23VVSHcS184uq0Iy3VuniIhIO44XvteY7NtTRoNrEWlL4bABlhtcY+BDX5nJ+GnDB3dBu6vuJK4Ho+PadQiyQXpVhYgMLV5/vri19mHg4XbPXdXq7/MIPyUWEekTO2/O2DeD61ziuuBt26oKERGRPmC87HuMEtciUoC1NmOMyYXDXODWXDgMmG+tfcAYcyRwPzAS+LAx5ofW2hmDuOzdWqzUY+ZJk5hy2BgmHThysJez++pC4jp/jTZAkec2HdeeOq5Fhqp+HVyLiAy4bFVILnFd6LynJx3XucR1oKoQERHpL2427pVPXOt+ZRFpS+GwgWWM4fhPHDDYy9j9Oe4uOzhy12iDlbi2+etHDa5FhpL+7LgWERlwOyWuO6kK6UnHdcHbtlUVIiIifcBzwkSaOq5FRKSoGKfrietuhIt6o33HdcvmjAPy40WkizS4FpHikj3hIXux31dVIe6uOq5VFSIiIr3kGjf84DX7VqPBtYiIFIWh2HHtee0S1yFVhYgMLRpci0hxySWuCU94Cn1i3pOqENd0MrhWVYiIiPQBDa5FRKQodaHjuifXaL1hHCc/TI+6DlabM4oMSRpci0hRMdmO69xn5p0lrrvzab6rqhAREelnruNgrJ8fXBd8zxEREdndDMXEtetis4lrzzX5qhB1XIsMLRpci0hxySaubRc6rrvzab4xBsd0cCKjqhAREekDnhLXIiJSjIwLu7j2GoyOa1p1XOerQlRyLTKkaHAtIkXFOOGvNSe7a3Wh8x5jDAbT7ZMiz3EKp99yVSE6yRERkV5wsxf2VolrEREpJo6zy8F1ripkMBLX0dabMw7M3FxEukiDaxEpLtmqkFxcraNPzF3jdntw7TgQFCzNjoR/7uL2NxERkc64xsHYTP6i2Q909SwiIkXAdKEqJBtACgbovc84DjZb9xjxjDZnFBmiNLgWkaJislUhuROjjk48HON0+9N8z3HI+J0NrlUXIiIiPecZD5rxxpsAACAASURBVGNTBPnB9eCuR0REpE84Xd+ccSAT17k32kirzRnVcS0ytGhwLSLFxeQG1xZjOm7vcB2325/mu44pnH5zsoNrX4NrERHpOddxwSbx/fDqWYlrEREpCl1JXA9Cx7Vt1XEd5O7Y1eBaZEjR4FpEikurxLUxpsNPzA2GgB4MrjurCtHgWkREeiFMmyUJgvC9TB3XIiJSFIzT5cR1d6/ReqxV4jraZnPGgfnxItI1GlyLSFExbnjCY4MA43Qcue5Jx3WYuFZViIiI9A/PcQlI4ZO9XVqDaxERKQaOC7u4iyifuB7AjmvyiWt1XIsMVRpci0hxcXKJ6wDjdHx+5DgOfjc3U3RNB4NrVYWIiEgfcB0PSwrfhoPrgvsqiIiI7G66kbgeyI5rm01cu45Rx7XIEKXBtYgUFZMbXPthVUhHn5j3NHFd8LbtfFVIqluvJyIi0ppjXAKTxDceoMS1iIgUCWdodlzjh2syxuBmKyeVuBYZWjS4FpHi4rStCrEdVIX0pOPacztKXIcDBoJMt15PRESkNc+4ZJwUvgk/EC24r4KIiMjuxrhDM3Hd6vbcSH5wPTA/XkS6RoNrESkqxm1bFdLRiUePEtcdVYW40fBPVYWIiEgvuI5HxiTxnfB9RZsziohIUehC4tqYsKtjwBLXbkviGsB1w5/fUfBJRAaHBtciUlxyiWs/CKtCOjjx6FHH9a42Z1RViIiI9ILreGScFNbx8IIA31fsS0REioBxAQudDIUHPHHttE1ce162qkT7S4gMKRpci0hRMU5uVw0/rArppOO6uydFHQ6uc5szqipERER6wXM80l74IWh5Jq3EtYiIFIdsuKiz1PWAd1y7bpvEtZerClHiWmRI0eBaRIqL26rj2nS8uUZFtIL6VH33XnqXiWtVhYiISM+5ToSUmwSgzE9rc0YRESkO2aF0Zz3XucT1QA2u23dce7nZut57RYYUDa5FpKgYp6Xj2nFMh3ejDY8NpzZZ263X9hxTOP2mqhAREekDruOScpW4FhGRItOVxHX2Oq67dY491b7jOuK5WDoOPonI4NDgWkSKS/aEx/p+2HHdwYnHiNgIdiR3dPOlDUGhSbiqQkREpA+4ToTmSDi4LvN9Ja5FRKQ4ZNPUQypx3a7jOuI6WAMD9eNFpGs0uBaR4pL/ND/AOBQeNBMOrnuUuC60WYfrhX+qKkRERHrBcyIkvbAqpESDaxERKRbd6LgeqM0Zd05cZwNQeu8VGVI0uBaRomLclqqQMHFd+Lhc4ro7t6I5xuAXGoS70fBPVYWIiEgvuI5HczRbFWI1uBYRkSKRT1x3HGcelMR1q8F11DVY03HwSUQGhwbXIlJcsp/mWz/AOKbDXaFHxEZgsd3aoNFzO9icUVUhIiLSB1zHI5GtCimxVh3XIiJSHLqRuB6owfVOiWvXwXcgnRyYxLeIdI0G1yJSVIxjwr8EPqaTjrLhseEA3aoLcR2ng80ZVRUiIiK957kRmrKJ63gQ4Acq2hQRkSKQHUpjfVj2CCz6606H5BLXA1UVUqjjOhExNGxvHpifLyJdosG1iBQXt+uJa+jm4NpAUHBwna0KCTS4FhGRnnNNhMZY2HEdtyhxLSIixaF14vqVG+GZa3Y+ZIAT1xRIXDd6UKfBtciQosG1iBQV4+Q+zc91XBe+6B8ZHwn0UeI6VxWijmsREekFx/Voyg6uoxZ1XIuISHFo3XHdvAPqNkG7gNFAd1ybdonrqGdo9KC+upmNtU2s2NL1SkkR6T8aXItIccknrn2Ms9P5UF7PqkI6SlznBtfquBYRkZ7znCgNsfDunRgaXIuISJHIJa6tHw6uM4nwz1aMCSsfB6wqpEDius61+OmAa/65lC/95dWBWYeIdEqDaxEpLrn+ND/AcTpOXOeqQnYkdxT8eiGe45Ap1DeaG1yrKkRERHrBdT2sC46fwlPiWkREioVpVRWSG1jXb25zyGAnriOuQ50Tvu/WVydYW92k92GRIUCDaxEpKsZtqQqhk6qQ8kg5nvG6mbg2hU9e2leFrPoPJBu6sWoRERFws3smuEESzxp1XIuISHFwWlWFJOvCv9dvantINoA0mInrGhO+7wb1GdK+ZWu9+q5FBpsG1yJSXJyWzRkdhw43ZzTGMCw2jJrmmi6/tOsY/Ozr/XzOUh5bsiX7hVZVIY3b4c9nwYI/9/zfICIieyTPCQfXjk3j4CjpJSIixSFbA0K6CTLZYXDrwfXSf+NmQ0CBDZi3eR43vn5j/y6pfce1a6g14WPTFFZArq9J9OsaRGTXNLgWkaJinOxJUeBjHEOhZo+ckbGR3aoKcR2D74dDhD+/8A7/XLgh/ILjAiasCmnaBlioWdOj9YuIyJ7Lzd7B49oULq4S1yIiUhxyVSGJVqGh3OC6ahncfT7Om/cB4Ac+9624j+sWXUci04+D4wKJ6+YgoKQiQqQ5fP/d0GpwvaE2UXi/IxHpVxpci0hxcVsS18aYjndnJNygsVtVISZMXDenfRJpn3U1Ta2+GA2rQnInYzvW92j5IiKy58pVhTg2jTEOfmefvoqIiOwuclUhTdUtz+U6rretAMDdugQIE9cb69cR2ICVNSv7bUntE9ee65D2LWWj4lRk59nrs9d7W+ubed81T3HvAl3jiQw0Da5FpKgYJ/trLQgwDp1+Kj4iNqJ7g2s37LiubQo3YWxz65gbCatCcidjO9Z1e+0iIrJn87LVU45JY3DJ+Ep2iYhIEcgnrlsNrus2hn9Wvw2As2UpEHZcb9y+DIBl25fmD//n0r+xoa4Pr7E8t03iOuoaUn5AdFiE4UF4F2/uem/xxjrSvuXFt7fnj6+qTzJ/TTUi0r80uBaR4pJLXAc+xhg625R6RHxEt6pCPCfcKKumKexfq25M0ZgM+89wvLAqJJ+4bnVSFfjarFFERHYpn7gmDcYj6OSuIRERkd1GPnGdvVaKlLUkrqtXAeBuDYfUKT/FVj/swX5r/fMAbK5eyZWv/IwbHv9/+Zdsqn2H1166tsdLiowdC9ZS98jc8LGbHY+VewwLDNiWwfXyzfUALFjbUnXyq7nLOO+ml9iRDTUBPPLmJjbUqhdbBODpNx5jU/WGXr+OBtciUlyyu1HjBxjHdLg5I4RVITXJmk6Pac0xbRPX0HIyY90oVTvqWwbXiZqWYfVLf4TfHw5+uv1LioiI5OUG18bJYI2njmsR2Ykx5jRjzDJjzEpjzOUFvh4zxtyd/frLxpgpA79KkXbad1xXHtAyuN6eTVynw1qOTXVryQaeWb7tTQDmLf4rAE/vWI4fhCnp6+d+hfOX3czbyx8MDw58fn/zLB5/4KL8j01vW86ie8/HJlrCSul1L+Nvep0RZ59NfOZMNl11Fek3niPihj80FXNwMRxU5uSrQpZtqQcsa7Y3Ud2YwlrLsyuqSPuWJ5dtAWBddRNf+ssCfvLgkvzPenzJFk773TNthtsPv7GJ19e33PUbBJYlG+vaXJOm/YCMr7owGRx+JtXmcV1jNWs2tPzvOvB9bv77Fazbsir/3J/v/AE//fY5pNLh9y5b9TorfrmEf3z/x71ejwbXIlJUTPaT8lziOujkNuuRsZFkggxNmaYOj2nNc3KD65Zf5Ouqw+9N+A5PLd7ItqrNLd9Ql/10cd0r0FgFW1tudWPrW9Dc9bS3iIgUv/zg2qSxTgRfg2sRacUY4wLXAacDBwPnGWMObnfYRUCNtXY/4LfALwZ2lSIF5Oocc1UhlQdBw2YIAqheDZUHkR1ts746rAmZmk6zLFlFYAPmr38WgGoHXlvxbzLJBh5oXAPA3xb8LwCL5l/PTZEkP9r2Eg01qwH4w9wv8+mG1/jnY5cCkNyxgfMf+RwXPHgumWQNE3/9K/xUgie+cTEla34JQJMbDow/uuU6vKrtPPTH10mueo1vZr7Jmd49LFxbw6ptjbwncROXRK/g6dfC9T44bykXVfwEs/JGttQ1Y63lwTm3cHTiCu58ah4AKzbv4D8PfIVb7rwqf+fuLQ/N5Y4/n8u9z4XHpDIBP/zfb/M/v/8WzelwSL9o5Wqu/NV5PPHKvPx/0tvvu4Vf3fhdkunwdWrqGvj1Df+PZ199KX/MM688zfV3XElzKjwmk/G5/a6reX7+M/ljVq5Zye1/+xGJ5mT+uQcfvYPnXnks/7imtoa/3Xs19Q0tdxG/OO9Rnn7hX/nHyWSS+//9O6qrq/LPLVu+iKeeuTv/2AYBcx+7hU2b38k/t3HTah5/8vY2fePPPH8Pa95ZnH+8Y8c2HnnsBoJW1S7zFjzCkqUvtPz85gQPP/pHks0tiffFS5/jlQUP5R/7mQwPP/oHamu35J9bteY1nnz2zjZrfPjxP7F+w1v55zZsXM4Dj/yuzRrnPHUDi996Lv+4ats6/u/+K0klW2YLjz55E/957v/yj+vqqrjpzq+xbXtLCvmxJ27h7n/8MP+4samO6/54IUuWPttyzNxbueG3F+Cn09l/ayPX/eQzzHnohpafNecmrv3up6jaHvawp1LNXPvd87n5N1/LH/PQ/dfx+y99npdf/Hf2mCTXfv1zXPv1z5HJhK/9jzt+wU0XXc1tv/kmAM3JJv7ytZ/y2HcfYvmyBQDc8evvkZn7Hh68Ivz/3o66alKP7cWIui/zt19fBcAzv72NZNmhxJpns2F9y4C7J0xXk4ZDxaxZs+z8+fMHexkiMkQFqRTLZh5G5aWXsrzy/Sx8bC0f+/a7GT91+E7H3r/ifq564Soe+dgjVJZU8sTaJzh1yqk4pvBnej9/eCm3v7CGH3x4Bt+7/w0AfvDhg7nguKnU/Gw6TyWmMX3vCUzf8HcA1px2J5lpJ7HfPSfDtmXw4Wvh3Z+DdDP8chocfh586Nfhi6ca4Z0XYP/Z/fLfRXahqRrSTTB8EsaYV621swZ7Sbs7vV+LdF9t9SqO//eZXPHC+dT6h/D0UaP52xeOGexliQxZe9p7tjHmPcD/WGtPzT7+LoC19uetjpmbPeZFY4wHbAYqbScX/nrPln636mn48xmw/6mwYi6c8j/w+P/A/3sDfncovPcyeP53zJwyifFuGZv8Ri6MTuTW1AYe/vD9fPGfZzHBibOQZj45/GCOGnsEX135f0wODNsIeOxjj3D5fR9hoU3Q6Bg+X3EQHz7s83z02csAKLGWf33oHu546tvc0bwWgM/E9+HCk3/NL37xES74t2XJPnDL4efy8eQyGpsvZvrSO1i+3/H4kWmYoImZb95GbXmcdQefhQkCRq1dxMgd21g7eSQTjjyD9QueYmxVmuZohoZ9KikpH0GwfDVlCZea4U3sc9xsVs9/moqaEgKTITEeKvfej22vLaM0OYzGeDWTjjqC9UteJ1pTBkByeB1TDn0Xa+a9RjxZSSqyjTEz9qFm00bstijGRkmXbWX/I49hxYvziKTG45tayqeV4SdTJDZanKCcTGwjBxxzFMtffgUvOZGABmLj05RUDKNmZT2uHUMmso59jzyUVYtewyT2AtI4I2qonDyZTYs34QYT8J0NTD58ChtXrsTWjQMMlG1k7xnTWfPqSpxgHwI2UTl9BHVbt5HaPhxDKTa2hn3ffSgrX16MCaZh7XYq9g4gsDSsj4AZhXXfZr9jDuXtV16H9L5gG4hV1lA+cjjbVyTB7IVlJdOOOYA1Cxdjm/cFm8Edto7x+01h/cKt4EyFYBWTjxjPphWr8OunAB4mvpxpsw5l5fMrsM50nMxaxsyIUF9VTbJqL6wzDOO+wfQTZ7HkyUVYMxPH30r53rU4rkPd6mH43gScYCGHnHoEix+fh2+PwPHriI1ZzaiJ49m8KEMqth+R1CKmn3ogy56eTyZ9JFifSNmrTDvyMFY8sYlkyaHEEouZdtIo1i58i1TDuwmcGBHzHEeceRIL7llIc+mRxBLvMH5WI3WbttGw6RDS0eHEks9xwhc/xLPXP0ZzyXuIJKsZse8yIvEY2xbvTSo2hnjTAt7/37N54nf3kYydiOMnKR3xDBMPO4jVT8RJxSqJJVZz7Jen8+LND9LsnQJAnLkc8YlTmP/n7aRiY4mkaplxVsCyOfNIhG85xJtfZPblH2Hu1a+Tio/FBD57Hfoa1SuqSKROxQRposm1nPPrs7jnW08ROHEykXJKSx/lwt/+osfv116Pf/F0gTHmNOBawAVuttZe3e7rMeDPwLuB7cAnrLVr+nNNIlLcWjZn9Jn1wSmsmLeF//zlLc753pG4btuB9PBYOMyuTdYyb/M8rnz+ShzjcOqUUwu+tptNXOc6rqOuk68KafIdImRorK2CaDmkGrj78Rd4pqycB+vfxgD+hgU84JzCh4atIppuhOVz4YO/AmPgxT/CUz+Bzz8JE98d/sAHL4NR0+DYS8LHqSZY9H9wxGfAi4XPNW6HIAMV41oW6mfA7ddf70OHteF/v9aP6zbA8EktT61/FdwoZsKh4eO6rTx7/c847sJLccfsA8BfL/8NzYnhXHjDfw/o8kVEWsslrnHS+ETxM37n3yAie5qJQOvd6dYDR3d0jLU2Y4zZAYwGtrU+yBjzBeALAHvvvXd/rVck5LTanNG4MGrf8PE7L4Z/jpsBo/fHJcFmvxFj4X37ncGtS/7EMy9dwzrXcN5eJxDd8AxP1r7FpvoNjAwsvzzq+5w3/yf87KHP8Zxp5utjjmJF7Uru3LGUec9dQYmFPxz1fT4/7ydcMuezLLXNfKJ0HwyGPyfe4dkHP8HGgx3OmnAi+9/yJFdV3UV5c4SnT4C3D3wfvrMPk9fOYfvombw286sAxGuqiKXq2Db2fVSNj4AN2LCgCsyhbNorgsXFNnmkGi1OxRgah0NAnGWLHIxzPLUj6wEPP1PBulXglgwjU9qEzwxWLomCPZ5MeTVgyDijWbYYnNh7sJFqfDONde+UAFOIxLcBGdLuIby50MFE3wvOFnwziaqqCgAi0RocGkl57+ONhS7Gex/YjQRmHInGkdQ2gherxwbVpL3jWPJGFJyTiEU2YomSyMykcTW40fEYfwtp70hWLo8Dk4l6G8FYUmY6y5aAEx1NNLOBjHsI69eWAxD1tmJsgqR7EotfczDRkcRSa/GdaWzbPiJcY6QaN6ghFTmexQs98E4k7r9DYMayo2kGO5rAi9Th+ZtJR45h6WtRcMYTc1YDJTT6J/H2MnCj44hm1pKKzmTlW6XAFGLOOoxNk3BOYfECcKIjiKXfJh3dl/VrhoVrdDbj2moS3kksfMHBRI8jnlpGxh3Htm0Hhse42/CCtTRHj+XVpyPgvY+S5FsEZgR1jSdStzxcYzy9lObo4Sx6JgbmFOL+W0CEpsxs3nwR3Gg5pemFJCMHsvTlcmAicf9tPD9BomQ2LzwITuwwylLzSLn78c7i8Fo1FqyjNLWKptjxPHZHA8SPojT1Mhm7N1Xr3xOukS2U+S/QFD+ah/+4FWInUpp6icCvpKF+NsufSeOZRoZ5z9EQPZKnb6kl8E6hpHkeWI9Eyam8/JcGcCsYPfwlarcfyuJ/pklHZhNvfg0nUkdT/HjmXr2IVKyScZPmUb1qP6oWTMR3DyKeXo43ch0Nzsnc+993kyo5mNETnqNh9b74ze1vDOrmr49efXcndBuTiAyK7OA6tWEDW791GYckX2T7hkYWPhp+sp6pCTutN66oJdYQvqHXNteyYPMCRjaN495l9+Zf6tp5v+fXL/8m/9g1FhtfTnVTE/GIwz6jS1m7vZ7GVCNNviGCT6axmqDyAKxxKW3eRPPWlZggA8Zhx8pXuPTu13jt2eztSjvWcc8jj/O9+9/ALg1vs7Kv38O/X9tI3Ya3YP4t8PQvyCTqwnqSl/8ED38TXr09/P4ggDvPhFs/ALkeqs1vwK/2g8X3t/w3ee63cOdHWjq2k/Xw13Nh+aMtx7z9FPzzq5DJ3iJmbZiCWD635ZhtK2DOd8Lvz5l3c9ufVb8F+8gVUN9y+1Xw+r34L97YckxzHY33fyusS8lKvfFvtt53RfhvAkgnePOmr9L0xsP5Y6pevIsnf34xJLKdcOlm/nXFl5l/0xX5Y96457fc/K072LowXHeQqOfmHz7PrT94KBzoA/defS1vrDqDe34R3lq1beUb7EgcR8J9N2/MabmVTURkoLm5DyXdNBgXk0p1/g0isqcxBZ5rn6TuyjFYa2+01s6y1s6qrKzsk8WJdKh1x3V8GAybGD5+J1u1MGoajJuBseH/WCudKNMP+hiOtfx1U1iZcOTBH+f949/DOsfyeLCDD1bsxyEHf5x3+y4Pp7ZQEQScd8KP+dp7riRjYBHNfHX0LI6YcS5fLj+QJSTZ27dcdtqNfPNDtzI9HbDa+Pyg8jiOvew63r74/WRceHP/NM2OT8rZB9iGaXqYTaPvYvJx40kesJF0+ofUx37D9uOaOO/Hx7Bj5NU0BN9ja+V1fPLaDzD1glEkY1+j2fsafDDNl278MPX730eC/8eO0Vfz6T+cwX/97FgS5ZeTjHyT0g/W8oWbPk7JyW+TjF5O4+if86n/PYPP/ulMmsb8imTs+wz7wDt8/pZPMePiOMmSH5AY8TM+9tsP8PlbzsPf726S0R8y7MTXufjWz3Dy9w+iufynNA/7Of/182O4+NbPMPy4l0lFf0bZ0f/h4ts+yzm/ez+pUb8lWfZLTrnyAC6+7QKmfXQLqfg1xGb8i4tu/TSfu+GjsNfNpEp/w7HfGM1Ft13EUV+Mky79Ld7Uv3Dhzedx8S2fouSg+8iUXMthn81w0W0X84Hv7Uum/H8xE27hU9d9mItvv4DKY14kE/9f9j1zPRfd/nk+ds0x2JHXY0ddzzm/OYGLbv880z64Bj/2RyYcv4CLbr+YT133IZxxtxFUXM+HfjCDi27/Eod/uhk/dj3DD5nDxbdfxAU3n0ds77vw4zdw/DdGceHtX+H4r4/Ej99EdO+7ueDmT3HRHRczbPrD+JFbOOz8BBfefgmnX3UgtvQWnNF38Mk/fpgL7/gK4456Ed+9nakfWM6Ft3+Ns685Hspuh9LbOOvq93Dh7V9nyikrCcydjD7sP1x4+yWc98czMMPuJPBu5/3fnswFt1/GwefUEvBXohP/zgW3fpHP3vw53FF/JbB/4/BPZ7jg1m8x68IYNrgbU3Ynn7rhU1xw2yVEx/4d0v9k8knL+Nyt3+G9l07AZO7FcBdn/eoULrjt25RM+jde4lnK953LBbd+lw9ceQRO6kGc5KO899IpfO6m71M2bS7RpsU4JXfx2Zu+w39d/QHc5KNEm99iyodr+PQfrqJs/2eIpKpxU3M4909f5azfnk808RwGiE15inN/8T3K9n0B34kTS6zhpCtO5pzffJ1Y0xuk4uPxgkc4+/vfITrpZVKxcQROhDEnJfnoj79NLLGWRMnBxBJv89HvfgczbCHJ+CR6o9+qQnQbk4gMlqUHTQ//4nmQybDinN+wsaaEk49pJvPTy0ie/hleaD6KSKnD8tSVfDQ+nUeiBzJ227t4bfwcvjt9BtXxMh55KgMY3vVhw/tG7McPn3qe8av3Y+VeS1jTOJmpY6OUbtpMhV/BjJJbmeQalqfLWdf4caJlC5jMUp7138X+QTOJ9AyOL7+eC9Lf5afuraxp/CDxyNvURBt5NPNuPh88z7bmYzlk5L18OfUVvl/+IDu27o/n1uHuleH6umO5KvM31tWdxL4jH+VPo77Ix8teo/HNRiwRDnq3zz3OaZz1znWs3Hgs44a9SPXJ32BsZiPb5zxDyp/AUcfWsHjqZ9hn/u9ZsvRgKkreZL/PfhE/CHj79ttpTE7nXUeswJ39LezzN7HguTFEvLXM/tpHSVfsxcu/upq6xqPYd9pLHHnJL9jw7F08d38aQxNnfuUQxsw4kXu/9y2qd7yf0SOe4Nxf/IbVr8zlkZs2AiWc+LE0B5/+Ge757jepqj6VmPMCF/z2W2xds4R/XfMGgTue6YfP56SvXMk/rvwOW6pOxUu/zSd/NptUc4p7f/gC6ejejB42l3N/+Qv+ceUVbKk6GTfTwMkXRRm376Hc9Z2nSMf2Ip6az0W3fIu7vvt9tteeDMC0A1/i+M99kb/+95Oko6OJpLbx2Ws/wN3fu4b69MlgA0rtM1x404/3qNuO+4ver0W6L9m8g1l3v5fvLTiD6uTJvDgtzV++XfguIBFRVYiusWW3se4VuGU2lIwKB9efexh+e3CYvK5+G77zDsy/hSNX3kqz43BYyQT+8vFHOfO2w1nl+Ayzhmc/u4jtVYt5/5xPAnD3sVdz8P4f4rEnLuey9Q/x5dJ9+co5/wTgpj+fxKuJTfzh/OfwysaQrtvEjXedxqkzL2S/Y74BwLYl97Hkzbs44aN3ghfjgUUbeO7+75MYNosxa6czJglPldYyZdhz3J88iTd/+EEeWbyJG+75J/WUcsUnT+eDh07g0r+9yrLXX2TqjKO57vwjSfsBH/j5gySSzcy5/CxGlkV5c8MOPn3dXL515jF88ujwDod75q3l5RUb+eW5R+fv7P3Tk8s45ZC9OGh8mAbeWt/Mq6urOe3QCZjsXaZvba5jbEWcUWXhXVpBYNlQm2DyqNL8f+5Eysd1DFGvJauaygRtHud+JRhT6LMuGbLa3XEc+BlsEOBGovnn6nZsYdjwljuymxP1bKvZwKS9Dso/99KCB5hxwHFUlI8GYP3G5Ty/4D4+8V8te/7ecP3XmXbgLGaf9BkAnnjybyz894N8/L+vYu9JB5LJpPnD176CjWS49Pe3AXD9Dy7BWfd+golP8KUfX8fyZQt56hfv8KXbPtLj9+v+HFyfDZxmrb04+/jTwNHW2ktaHfNm9pj12cdvZ4/ZVug1QW+qIrJrq88+B6+yknFXXMHmq66k9s0VvHb8VTTuSHFo1UMsHnMaUdcnaeLEmrYzevubrN37A8QyVSS9SvZe+xhbKw8nHSkHAlw/zbit81k3+RQiqR2ko8MZt+UVGsom0lQ2HjeTxBrDhM0vsWHiCbiZplnJRQAAIABJREFUZjKRMkZWL8V3Y9QNn4abSWAdj3FbXmTL2KMx1uJ7ccoa1hJN1VMzagZuphnfjTKm6mVqRx5K4EQJHI9483biifXUjnoXrp/Ed2OMqJ5PU9m+pKPDwAZ4mQSlDUvZMero/DEVO14nE6kkUToB10+Gg9m6hTSMOBonSOF7JZTVL8Maj6byfXEzCQLHo7TuZRIVR+JYn4xXSknTWpxMLY3DZuKlG8Ln6l4gXXoY1ngEjkckVYOXWkXTsGOIJneQig2npP55/MgBZCLDcYI0xmZwUgtJlr+PWPM2kvExlDS8jHXGkYxPIpLege+W4mSeJxM9iVhyK83xcZQ0vQ4YEqWHEk+sJxmfiOc8ie+fQDS5hVRsHNHkGozZQqLkBEoaF5Mom0G85HEydUfhpbcTuMMwQSOmbBnNwWziTS/QXHos5eVPkNo2AydIAAl8dzxfvP2cPeoiuL/o/Vqk+zLpBO/661F89/XTqGk8nVf3quens/fjyVvf4KwfzaZswujBXqLIkLIHDq49YDlwMrABmAd80lq7uNUxXwUOtdZ+yRhzLvBRa+3HO3tdvWdLv1v/Ktz8fjAOjD8ULn4CflwJWCgdDd9eBcsf5ejnL6XJcTh9/LH88tQb+PY9pzMnsZ6TSifz+3PCOzE/e8csmqzPPZ9dgDGGINnA43O+yokn/ojYyLBagUQNNO+AkVNa1tC+YrCdR97cxJf+soAx5THen4gwq6yUa/xaqhpTTBldyn++dRLvbG/kxGv+gzGw8MrZjCiNMnfxZr5456vc8tlZnDw9HBY+tWwrDc0ZPnzYXvnX396QZHR5rK//y4oMKt/PYDA4bnhXRaK5iesf+D5fOONHlMXDyphff+MzfPP3d/b4/brfqkLow9uYjDFfMMbMN8bMr6qqKvAtIiItpv7j70z+0x+JTprIhJ/+lJhNcsjjPyBCmkUTzsaUlDFz4f9y6Io7aSgbx9q9P4CffoljVv6RWPAma/eeTUNpGdMij3Bk/DkSMYd1k08h6bxBzeaHSKZfZMu4o6grH8nmpscpL3mFtLuN9ZNOwvIG+/o3UpL8B9Uj96N22ATGZm5mq/8fsMvYNOEEArOKhsx9RFN/paFsFNUj96fcv4eX0/OJ+i+ybex7yLjbqA7+RdL/B80xh9qRMykNHuZRu4S4/xi1I48g7aVoMv9is3kM36lnx6ijiflPM8ddQUnwEPXDDqY5VooX+ydrhi8ANlA/6li84DVWTNpAiftvmsqmkCidSFnsATbtvwXPX0bjiPfiBGtpmrGJ0rKHScbG0FgxgzJ3Don3xYlmFpAY/l4sjZTMXEXpxBfxvThNw44hHjzNsE9OIZ55nkTFcWS8EkYdsJAR716LNUE4tE69xoFfn0mJfYpE+dEk45MYNeFppp7l4QSNpOOnEElv4OjLDqY88gSJssNJlB1GRewJjrtsJl56G2lmY4IU775gHOXDnqW59EASJScQT73ImdecTTS5meam95PxyplyYoKyca+RLNmbZOZ9xBKrOP/GbxJt3kxzzdGk4uOJj19FfMIW0rFRg/0/XxHZg7lONj3lhdVOXjLNmqeXUeuOZdUjCwZzaSIyBFhrM8AlwFxgKXCPtXaxMeZHxpgzsofdAow2xqwELgMuL/xqIgMotw+RDfj/7N13nFx19f/x15m+Nb1XSAgQaiD0XqSXSG9SxIYgFlARG+JXBUVAkZ+KgiBIR0KAAAKhBAiQAgFCTSjpPdt3+uf3x727mSybzYbM7szuvp+PRx7ZmfnMnTOfmd0zc+65n0u0EoJhKPOXqOm7tff/oB0I+tWgof28ztBxQ70TFE8cdXjzpm788sP8bdLk5k7hQLScIybdsb5oDVDSZ8OiNbRZtAYI++dDWlOfYNWYGKdcMZGhfhfztoO9JSZH9i2lX1mEnYb1onepl7OPGD+IyRfvx6HbDWze1iHbDtygaA2oaC3dUjAYai5aA5TESvn+adc3F60BvvPHW7foMTry7F2LgRE5l4cDSzcyZrG/97gXsLblhpxztwC3gLc3uEOiFZFuKTxkCEN+/WvW/OMfHH/xTrz0bBV7HLsVAy+7lWBFBTf950oq1w1m9lZP8K1bXmblope47e5HyAyv5tvn/INwIMz8Wf/l+Zn/Y+y4E/nr02MZ3CvKuIq32X3cGP497UBG9yvlqvgvWVE+gi9XPc5N6ZOJWS37RS4nUjmItVVpfhg/i7nll/J2ZhB7Z99jz8RfObL/ai6tvYR6i9E47jRu+nhfbhhzP4s++B7blCb41+6TGVwe4rBnj2VVIsDwY39Cr9BhHBd6jc8e+g7D+lbSeMFzpAnQa/K5fLZgHtueejUX7nASVrWQT246lt59BtDn209DMET6ud/z7nOXs9OpP8V2OhlScRb+5VgCgSDDL34UQlGy7z/FrHt/wYTjv0V493PAORbd8VWq16xgx0vug2gF2S8NY/o/f8gu+x1N70O+A8Ci//6cBe/P4+Dv/BUqBuH2GsxT13+fcePHsPVpvwHgs8eu5/Xpj/LlS39AaNh2HPCnH/Lwr35A375BDrr8b2DGgtBfeGHqHI75xgQG7zKBHW/Yjrt/dCXZrHH273+NRcvIHPcK05+oY/tdP2PXQ/6PXfY/lFsvuZ50ZgSn/Pw4eg0ewnZ7L+StOQMpsRkcduHPycQbuO2i+0hGRzFqtxVEYzEqB81jdbW31MikH15EJp3lP794p5BvVxHp4SwYJOgc6bC3Jn8kmaJ6dRbozfL3V7GTPy7rnw8gEOjIHhQRKUbOuanA1BbX/SLn5zhwamfHJdImW1/YItbL+79yCNSvXH+ixsqhBPzi8tAKbw3sPbf9MuFPHmH/bSc1371PZW6ZKX+aCtfOQZ+yKIGAMbxPCXMXVbHtIK9wbWZce/LO9C4Nr39qZuw6oneHxCTSHURC4U0PakNHFq5nAtuY2VZ4hzGdAZzVYswU4DxgBnAKMK2ttbdERL6IyqOOpPIob43QkyY0Xet11laPWMw7vWew28DdiAQjHDjyQJ7c/0lO3uYiwgHvD+zpE0/i9IkncetLnwBrWVuXYvh2h3LYDiO5YdpLfLqmgQF9whxsb4E5qiinsiTGhNQUqFrIjEFnEl0SJDZiAvt/8gwM3I7fHnQI4wdGGfKP30FqBRx+Dq/335bAp2F6f3AfTPguFx3mr9XdcD6Vc++FCadzUjgG2SFs8/E02OkUSiv9tcwm3ci2Hz4FO5zkdR/0GcVWX7sLKgZD0PtTHzr4h+y84yQYMM67TzjGyG8/4h2y558QLLDdkez5k/0g6u8hNWPEebcxIpOCkNdVEBi8Awf9ZErzdgFGnPRrRmQzzWcMt8ohHPXzuzYYM+q4HzDq6JTXYQEQq+TLv74ZAuHmDogxx17CmEPXeV0SAOESzvrtL/3ujDIAdjjpYnbY43UYdoH3WOEoX/vNKWTXfkZgq10AOOBrlzHqvp8z7MDTAQjGSjnoxEbeefkRDr/IWwZy0o8u4vYfv0hl+buUDfCalKLZuzfjnSUikn9BIBP2TspYkoxTl/D+Zq7Kae3477fvJhR0TLr5K83XZRJJgtEIIt2dc05rsop0NYHcwrVf5K0YAsvmru+4NiMYKYd0PUPLvW7lnQfszGtnvUY4uGWFr/ZoKlwDzd3Uw/uUADDO77gGOHz8IESk83RYm4YOYxKRrqBP1CuQ7jZoNwBCgRC/P/D37DVkr8+NDfrfkZKZLH1Kw4zos/4EGCWxGNStBKDKlTN01DbNt02cuA9Pf/8goiP9JZ1G7cdROw5m5MA+sM2XYNCOMGBbAgGDrQ6EE/4C+39//QMf/BO49E0Ix7zLgSBMuhnGHLJ+TOVQmHjBhofADd3VK1w3MVtftG4SLYdI6eevy2XWXLRePxmt7PfM/UC6sTEtP3SGousPHWzSVLRuvtwbSnOW8DCDkXttuP3+2xAYt/4QQoJhRp51DcHhzXsqGDfp25z0hz9h/vON9hvON385ljN//Z3mMQeePOzzMfcAZnaUmX1gZvPN7HO52MyiZnaff/trZja686MU6RmCDjJhb6mQ3TOPU5f0/v5WWz/StdXULV7FCjeYJekhVC9YAsCiZ9/glkum8eED05u389mTM3nntv9tsO1Vcz4kk0xtcF0mkezIpyPSLJvJbHA5vmLNBtclq+v46LFXNhgz9epbmXnPE82Xn//bPfzzwsm889R0RKQL2aDj2jvxYPP3lH5jmm8KhL1C8dCy9ctsdEbRGiASWv89qm+Z95ij+nqNM9sPqeyUGETk8zr0+ELn3FTn3Djn3Bjn3G/8637hnJvi/xx3zp3qnBvrnNvTOfdxR8YjItJSr6h3qNqEgRM2MRKCuXvhSyJUloSoiHrF07LSEkjHATh6j/F8aZ/dm8eGB2/PyH6lMMy/bvT+6zc66a9wwdT1BWcz2O0rGxZvzT5f3JX8GLEnVKzvmhh7zFfaGNw9mVkQuBk4GhgPnGlm41sMuxBY55wbC9wAXNu5UYr0HCEcy9wKAOaES2gMVhJOrCMbCHPjNSfz7I2/846UsQAz//EIM6deyoz73yIbjDDjiSVUzX+Oqnfn8NQDy3jhtQCfPPEqrPuMt25/mvtvWcyU799NNhknm0ryyCV38K+LHmfl7A8BWPfhQu684C6e/undzcuRzP7r49zztTtY9bb3MT1V38ij37uDF/7v/uYxC59/k8mX3M7KN+cD3lIm0695kOnXPNhcmKxesJQnfnQny2Z90Pxc37prGtOvfZBMylsaJb6uhmm/upfFL7/dPOaTZ+fw4rUPkW70cmwmmeLl6yfz8TOzm8esfGsBL177EImquubHf/P2J/ng0fVF0JpFK3n5ugdpWLG+df29/07nnXumNV+Or63mlRv+yzp/hwDAgmdmM+fWqc3PNd0YZ8ZND7PsjQ+bxyx+7X1m3PQwmbi3EyCbzvDq3x9lwbT165KvfPdTnv/DvSSqaptjfP3Wx5n74PPNY6o+W84TV99F9cLlzdfNvPMppt/8cPPj16+q4tGf3cbi2e83j5l9/9M88avbSfs7IeJVdTxyxd95c8qLzWPeeHgaD/3gZhpWV3mvY0MjD112M9P+fE/zmLlTnueeb9zIsnne65hOJLn/0ht56PI/Nz/+m1Nf4I7z/szMh55qfq53X3Qd/77gBhrW1niP9egz3Hbuv5j8i5uan+udF17Hvy68j49eewOAGQ88yu0/fZU7v+ptO5vNcvd3buN/j8WZ8rubAXjy5lv5ZOlWvPF0ghWffkY6kWTBjBTJSC9m3v0qItKFBFpZKqRiiPd/363WDzPvO8/gspzmm04SCny+4/rLE4Zx2/kTGTOgfGN3E5EOZl1tZQ6d8VhE8unK6Vfy2MePMf2M6c1F7I25+7WFXPmw92X6D6fszKkTR3D0n6bz3rIa3t3pXko/muIN/Ppz0H8b+N1w7/KPP/O6hrNZmPdfGD+p9W5kKQpm9oXPeNwVmdk+wFXOuSP9yz8BcM79LmfMU/6YGf45KZYDA9pa3kv5WuSLOeBfO9BrdT+OXnAV6cxjhILHEUq8RTq6M6uD9zOobgyB4FiC6bVkAyU8tv0tHPHxz4jGl5EoGcbCktsYUb01Fj6QULqOYKaeqdv/nSM/vBxnQTKhEuoC9xBNlxAOTMKyacKpdbw96hZ2/vRCEtGBYAEs9QT1sbWUps8ECxBOVrF00B2MWHos8ZKxAITjr7C614f0aTiTbDBKKFVHdeX99F2zG4nSXQGINbzN2n6zqaw+iXSkkkAmTir8CCUNw0jG9vfHzKemz3TKq48lGRuIZVME3FNYNkI6dBhYkGjjYhp7PUNp9SHES0aByxJJvkg6XAvuCLLBKJHEKuLlz1BavSvxUm+5rWjjayRLlxBMHkE6XE4oWUMm9jTR+tHES3ZvjjFe+QGR+kNJRvsSTDdA6FlC8b4kovuABYg1zCfR6w0itfuTiA0hkEkSdM9jLkgqeCAuECbauIRkr1eIVk8kXrIVuAzR5CtkwjVk3WFkgzEiidVkyl4gXLM98VJvH2GscRbp8sUQP4x0uIJQqhZKphGqHZ4T4zzSfd4nUHMIyWhfApkEodDTWLwXich+XoyNn5DpP4fAmn1JxIZg2QwRNw1wJO0wXCBINL4cN3AGgRUTiJeM9radmI4rqyKVOJJsMEI4WU1o4PO4peOa5zHWOAcGLya15ktkQiUEMgli/Z4mu2ww8ZKJfowfEt3uE+oX7Es65HUplpU9RaaqlHjkIC+e5AoG7beUZTPGkAmWkQ1GKLVnIOBoyHyJYLoBcxm2P66eD6YEyFqEdLiSktQrhPsnqak5lEh8CcnoYCYcW8t+J57co3J2R1HOlg63ZgHc5B3hylHXwN4Xwfxn4fEfwLdebj7i84gHjyCRSfDC6S90eojvLq3hmD97R3PcfNZuHLvzkE6PQaS72pLv2KqciEiPdvRWRzO4bPAmi9YAocD6w8f6+HvhR/QpYfHaBkpKYusHlvaFaIW3flu4xCtag9c1vdMpeY1fJA+GAYtyLi8GWq6V0zzGOZc2s2qgH7A6d5CZfQP4BsDIkSM7Kl6Rbi3ooD7mdc4OC4xnBfDugJcZv3okQ1M7kIluTTIzh+W9P2VI8myOn3ceyViGB3b9G6fO/RZjkieRCldiyem8P/AdxlZfzBEf/YhsIMicUdey10cnY9HTvCJm4yw+GPEcW6+4lG2X/YRUOM3KvjcxfNlEkrGjKc1ASeM8Fo58gqFLL2TAuu+SiKaIR++grH4gqdjR9ErsSyT5CcuHPcagpSdR1vhVEiUZzE3GWZZE7HhKG3cimF1KTeW99F1+MNng6SSjWcLJZ4mXriIVOYFI4gKw1aRKb6dizS7ES46DIMQaX6W+9wKyyWMIJM8nHawhG7mXkprhJKIHggUoaXiLun5vYfHDCaTOJBVpIGCTCSbLSEYPwbm9CKU+ItVrJqHGfUhnTyYZSRJOP4ULpEhGD4f0Tlh2MZQ8RXjNLsRDx5OJZogmp5MqWUs6fDgudSrOVhGIPECkemviJUcAEGt8nVSvhbjEIbjkqaSDNYRCDxOsG0Ai6heVG94h1f89LL4fmfTJEGkkzGNYOkYiehAuM5FYagH0eZLQqt2Jp08kE00RTT+DC8dJRg8nm9iBqFtGpOIhAiu2Ix48DiJZYsmXyVauIZ06nHT9yYQD64iVT4ZVw4mXfAmAksZZZAcvIps8mFTNlwmGG4iWTsHW9SYePRDSUJL4gMDWH5D6dC8aq07EYili4amQDBGPHQ7VuxFNLaZi3Dwa521PQ9VxUAKx7DMEypM0uCOJLxxH2K1j0I6vUD1zIPV2NESgJP4KJWPjrFt4AAtnDSIQTDNst3dYNSNIQ8mhWCZLSfxthhwS5pMZY3j38QCZaBmDRr9OzfsZGqP7kF5dSzSzmF3O6cvMB7K8+1BNoX5NRWRztdZxPfYw+O7cDYdZgCFlhSkY5y4V0qe0c5YnEZFNU+FaRHq0A4YfwAHDD2jX2EBu4dpf9+yig8dw/C5DsU+mrB/YtMxHvzFQ0heRItfaGa5adlK3ZwzOuVuAW8Dr3try0ER6nr1SjrGpepJAfboSwrCizyr2XLmE6pLtcIEgY4dUsdMOYd59NkGidBTDQ4u4dd9zWFvRi+mzygmn6jj75+dS2i/GIz99liUMZ+K2tVx08eM0rG7g3p89T8SSnPaXS4hU/Ih5/5nG68+sZq8jBzL+jEfIpjM8+eP/kExkOfZvXydc+h3WzPuE5256gZ2P2YZxk+4AYPbfp7JqwRoO++NZhMsuJLGuhuevncJW+2zNuBP/DMAnT89iwYsfceDlk4j0OodsKs2MGx6h/7hBbDvpNwCsmfcJ7zw8k70uOpJYv9NwzvHWv58hXBph/KlXAtCwYi1z7niOCWcfSNmwSQDMn/oajevq2fGs72JmpBrizL71f2x39O70HnscAEtfe5c17y9ih698nUDgm2RTad6+6xmG7DaWgbsc5T3++wtZ+NLb7HzumQQj55LNZnn/geepHDGE4fv+CoD6pat5b8oMdj77OCIV3ol/P3x8BoFggLFHeacGSFTVMvc/09jh5AMpG+zF+PFzb1C/Yh07nv4dzIx0Y5yZtz3JuC/tTr9xxwKw6NV3WTxnPnt946sEQl8nm0rz8t8eY8RuYxi9328BWDZ3PvOemMWB3zmJSNnZZLNZXr55MpVD+7LLyb8EYOVHC3n9jmc48KLjqRx2MgAv3vwg2XSWgy79IWbGuoXLmXbjQ+xx1iGMnHgjAM/ffB/Vi9Zx3J+/RjASpmrpKp789d2MPnQce59xHQDP/vkuVryzihN+fx7lg86ldvlqJv/031QOL+HEX3kxPnndbSx/K84+39iTbfc/meoVq5n8w3sJhBKcdcuPCUbCTP7VX1ixcCTDxy3n2IsuZ+2Jy3n4J8+QDUQ55hcnMnjsaO5583esTexFWXw2p1xxBQvfe58nrvuQVKQ3o8YuZ48vncs7d/+OhpLPn49ERIpU7hrX0Y2vF10aLmVkZWGaH1o7OaOIFJ6WChERaafJbyzhe/e9CcCzlx204Vpnj34XZt/ufSj7xRpvXep1n0Iw4p04UboMLRWipUJECuqlG8n2346/3hDCcDiMr16wlNn/izF3aX8C2RRf/cN+RHuV8+ild7IwOYyTzx/M4L3Hk81mmXblPYyYMIxtTz8Y8NakXvzcm4w6Zi8C/vqdqfpGgpEwgbB6WKTzZVMpAuH13YzJqloyiSQlg/r5t6eZedtUdjn1YGJ9vQLXs3/6D6vfX8mpN3+XQCDA+y/NZNq/13LxP47qUTm7oyhnS4erWQrXe0sPcd5jsFXrjUMfV31MeaScgaUDOzE4z9KqRva9xjvvwYyfHMqQXiWdHoNId6WlQkREOkEwp+O6d0mLw8cC/uWSPutPtNhndOcEJrJlZgLbmNlWwBLgDOCsFmOmAOcBM4BTgGltFa1FZAvs/z0CQDA7lUwwRixVTcne5zJ05QzmLm1kgK0i2svbcXrwD77E0tfeZ/De3lrJgUCAw685e4PNhctK2Oq4fT53nUih5BatASK9K1rcHmKvb56wwXWHfXfD9/V2++9B/9h7XPyPjolRRPLMck40H9v4Eo1b9966E4JpXW7HdR91XIsUjcCmh4iICGxYuO7VsnAd9D/cNC0TItJFOOfSwCXAU8B7wP3OuXlmdrWZNVUObgX6mdl84AfAFYWJVqTnCGZTAJQGGgEYdtBOlKbWst3eg5rHVIwe3NxZLdLT9J+4faFDEJH2yl0qJLbxpUIKKeIXrkvCQWLh4CZGi0hnUce1iEg7NRWuK2MhQsEW+/2C/p9TFa6lC3LOTQWmtrjuFzk/x4FTOzsukZ4sSBqA8tIsANFe5Vxwq07wKyIiXVBrJ2csMmH/5Iw6MaNIcVHHtYhIOwX9JUD6lLVy6FjTUiGlOhmjiIhsuZBfuK7so8OVRUSki8tdKqSNkzMWUtNSIToxo0hxUeFaRKSdgkGvcN3qhxktFSIiInkUNK/TuteQ4vyCLyIi0m5NHdfRyg27r4tIKNDUpKSOa5FiosK1iEg7NX2Y+dyJGUFLhYiISF6FAl7hus9WAwociYiIyBaynMJ1kTIzIsGAOq5FiowK1yIi7dS8VEhr6541LRVSoqVCRERky4WCDoC+248ocCQiIiJbqKnLukjXt24SDQfo19qykCJSMDo5o4hIOzWdnLHtpUJ6d2JEIiLSXYVCEIwnKBvWv9ChiIiIbBnrGoXrG07blW0GlRc6DBHJocK1iEg7NRWu+7RauNZSISIikj87HLENg+avIhDQAZIiItLFNXdcF+9SIQCHjx9U6BBEpAUVrkVE2inY1gk7mpcKUeFaRES23Njj92JsoYMQERHJBzPAir7jWkSKj1o4RETaKeR3vbW+VIhfuC7VGtciIiIiIiIbCARVuBaRzabCtYhIO40bXM55+4zigLGtrDc6eGcYsiv0HdP5gYmIiIiIiBSzsV+CUfsWOgoR6WK0VIiISDtFQ0F+deKOrd84eEf45gudG5CIiIiIiEhXcNa9hY5ARLogdVyLiIiIiIiIiIiISFFR4VpEREREREREREREiooK1yIiIiIiIiIiIiJSVFS4FhEREREREREREZGiosK1iIiIiIiIiIiIiBQVFa5FREREREREREREpKiocC0iIiIiIiIiIiIiRUWFaxEREREREREREREpKipci4iIiIiIiIiIiEhRUeFaRERERERERERERIqKCtciIiIiIiIiIiIiUlRUuBYRERERERERERGRoqLCtYiIiIiIiIiIiIgUFRWuRURERERERERERKSoqHAtIiIiIiIiIiIiIkXFnHOFjmGzmFkt8EGh4+gG+gOrCx1EN6B5zA/NY35oHvNjW+dcRaGD6OqUr/NGv9f5o7nMD81jfmge80M5Ow+Us/NGv9f5oXnMD81jfmge8+ML5+tQviPpBB845yYWOoiuzsxmaR63nOYxPzSP+aF5zA8zm1XoGLoJ5es80O91/mgu80PzmB+ax/xQzs4b5ew80O91fmge80PzmB+ax/zYknytpUJEREREREREREREpKiocC0iIiIiIiIiIiIiRaUrFq5vKXQA3YTmMT80j/mhecwPzWN+aB7zQ/OYH5rH/NFc5ofmMT80j/mhecwPzWN+aB7zQ/OYH5rH/NA85scXnscud3JGEREREREREREREeneumLHtYiIiIiIiIiIiIh0Yypci4iIiIiIiIiIiEhRKdrCtZkdZWYfmNl8M7uildujZnaff/trZja686Msfu2YxwPNbI6Zpc3slELE2BW0Yx5/YGbvmtlbZvasmY0qRJzFrh3z+C0ze9vM3jSzl8xsfCHiLHabmseccaeYmTOziZ0ZX1fRjvfj+Wa2yn8/vmlmXytEnMVO+To/lK/zQ/k6P5Sv80P5Oj+Ur/NHOTuzC7M3AAAgAElEQVQ/lLPzQzk7P5Sz80M5Oz86JGc754ruHxAEFgBbAxFgLjC+xZhvA3/zfz4DuK/QcRfbv3bO42hgZ+DfwCmFjrkY/7VzHg8BSv2fL9L78QvPY2XOzycATxY67mL715559MdVAC8CrwITCx13sf1r5/vxfOAvhY61mP8pX3fqPCpf52cela/zM4/K13mYR3+c8vUWzqPydV7nUjk7P/OonJ2feVTOzs88KmfnYR79ccrZWziPXyRnF2vH9Z7AfOfcx865JHAvcGKLMScCd/g/PwgcZmbWiTF2BZucR+fcp865t4BsIQLsItozj8855xr8i68Cwzs5xq6gPfNYk3OxDNDZYz+vPX8fAX4N/B6Id2ZwXUh751HapnydH8rX+aF8nR/K1/mhfJ0fytf5o5ydH8rZ+aGcnR/K2fmhnJ0fHZKzi7VwPQxYlHN5sX9dq2Occ2mgGujXKdF1He2ZR9m0zZ3HC4EnOjSirqld82hmF5vZAryEcGknxdaVbHIezWwCMMI591hnBtbFtPf3+mT/8MQHzWxE54TWpShf54fydX4oX+eH8nV+KF/nh/J1/ihn54dydn4oZ+eHcnZ+KGfnR4fk7GItXLe2V7flXqH2jOnpNEf50e55NLNzgInAHzo0oq6pXfPonLvZOTcG+DHwsw6Pqutpcx7NLADcAFzWaRF1Te15Pz4KjHbO7Qw8w/oOJFlP+To/NEf5oXydH8rX+aF8nR/K1/mjnJ0fmqP8UM7OD+Xs/FDOzo8OydnFWrheDORW3YcDSzc2xsxCQC9gbadE13W0Zx5l09o1j2Z2OPBT4ATnXKKTYutKNvf9eC8wqUMj6po2NY8VwI7A82b2KbA3MEUnj/icTb4fnXNrcn6X/wHs3kmxdSXK1/mhfJ0fytf5oXydH8rX+aF8nT/K2fmhnJ0fytn5oZydH8rZ+dEhObtYC9czgW3MbCszi+CdGGJKizFTgPP8n08Bpjl/pW9p1p55lE3b5Dz6h438HS+hrixAjF1Be+Zxm5yLxwIfdWJ8XUWb8+icq3bO9XfOjXbOjcZbD+4E59yswoRbtNrzfhySc/EE4L1OjK+rUL7OD+Xr/FC+zg/l6/xQvs4P5ev8Uc7OD+Xs/FDOzg/l7PxQzs6PDsnZobyGmCfOubSZXQI8hXdWytucc/PM7GpglnNuCnArcKeZzcfbC3xG4SIuTu2ZRzPbA3gY6AMcb2a/cs7tUMCwi047349/AMqBB/zzlyx0zp1QsKCLUDvn8RJ/r3oKWMf6D87ia+c8yia0cx4vNbMTgDRenjm/YAEXKeXr/FC+zg/l6/xQvs4P5ev8UL7OH+Xs/FDOzg/l7PxQzs4P5ez86KicbdqBKiIiIiIiIiIiIiLFpFiXChERERERERERERGRHkqFaxEREREREREREREpKipci4iIiIiIiIiIiEhRUeFaRERERERERERERIqKCtciIiIiIiIiIiIiUlRUuBYRERERERERERGRoqLCtUgRMrPeZvbtnMtDzezBDnicq8xsiZld3caYMWb2ppnV5fvxRUREujLlaxERka5BOVukazLnXKFjEJEWzGw08JhzbscOfpyrgDrn3HXtGFvnnCvvyHhERES6EuVrERGRrkE5W6RrUse1SHG6BmjaC/sHMxttZu8AmNn5ZjbZzB41s0/M7BIz+4GZvWFmr5pZX3/cGDN70sxmm9l0M9tuUw9qZgf5j/mmv72KDn6eIiIiXZnytYiISNegnC3SBYUKHYCItOoKYEfn3K7QvHc4147ABCAGzAd+7JybYGY3AOcCNwK3AN9yzn1kZnsB/w84dBOPezlwsXPuZTMrB+J5ej4iIiLdkfK1iIhI16CcLdIFqXAt0jU955yrBWrNrBp41L/+bWBnPyHuCzxgZk33ibZjuy8D15vZf4D/OucW5zluERGRnkT5WkREpGtQzhYpQipci3RNiZyfszmXs3i/1wGgqmlvcns5564xs8eBY4BXzexw59z7+QhYRESkB1K+FhER6RqUs0WKkNa4FilOtcAXXvvKOVcDfGJmpwKYZ5dN3c/Mxjjn3nbOXQvMAja5ZpeIiEgPpnwtIiLSNShni3RBKlyLFCHn3BrgZTN7x8z+8AU3czZwoZnNBeYBJ7bjPt/zH3Mu0Ag88QUfW0REpNtTvhYREekalLNFuiZzzhU6BhEpEDO7Cqhzzl3XjrF1zrnyjo9KREREcilfi4iIdA3K2SL5pY5rkZ6tDviGmV29sQFmNsbM3gRWdF5YIiIikkP5WkREpGtQzhbJI3Vci4iIiIiIiIiIiEhRUce1iIiIiIiIiIiIiBQVFa5FREREREREREREpKiocC0iIiIiIiIiIiIiRUWFaxEREREREREREREpKipci4iIiIiIiIiIiEhRUeFaRERERERERERERIqKCtciIiIiIiIiIiIiUlRUuBYRERERERERERGRoqLCtYiIiIiIiIiIiIgUFRWuRURERERERERERKSoqHAtIiIiIiIiIiIiIkVFhWsRERERERERERERKSoqXIuIiIiIiIiIiIhIUVHhWkRERERERERERESKigrXIiIiIiIiIiIiIlJUVLgWERERERERERERkaKiwrWIiIiIiIiIiIiIFBUVrkVERERERERERESkqKhwLSIiIiIiIiIiIiJFRYVrERERERERERERESkqKlyLiIiIiIiIiIiISFFR4VpEREREREREREREiooK1yIiIiIiIiIiIiJSVFS4FhEREREREREREZGiosK1iIiIiIiIiIiIiBQVFa4l78xspJnVmVmwkx93kJm9aGa1ZvbHznzs9jCzJ8zsvC3cxsFmtjhfMeWTmY02M2dmoULHsrnM7Hkz+9pGbrvKzO7q7JhERCQ/Ojo/mdmVZvbPnMtfNrNF/mehCWY2z8wObue2nJmN3cht55vZS18wxo3mORERERGRYqXCtWBmn5pZo/8Fq+nf0C+6PefcQudcuXMuk8842+EbwGqg0jl3WWc9aHsLm865o51zd3RGTNI1tFWg2Mj4880s0+J39S8dGaOISGdp7W9iV9h56Jz7rXMutyh8HXCJ/1noDefcDs655wsUXof6ojvUzWxfM5vmNxtUm9kUM9uuI2IUERERka5LhWtpcrz/Bavp39JCB/QFjALedc65QgeSyzwF/13rip3Qrekuz2MLzGjxu3pJoQMSEZENjALmFTqIYmVm+wD/Ax4BhgJbAW8BL5vZ6MJFJiIiIiLFpuDFNClerXXR+N3Zh/s/72lms8ysxsxWmNn1/vUbHJJrZkP9Tpq1ZjbfzL6es72rzOx+M/u333Uzz8wmthHTvmY20+/OmWlm+/rX3w6cB/zI70I9vMX99jaz5bnLl/iH8r7l/xwwsyvMbIGZrfFj6tvi+ZxnZgvNbLWZ/dS/7SjgSuB0/3Hn+tc/b2a/MbOXgQZg65aH6ZrZ183sPf95v2tmu/nXb9BxZma3m9n/bWQ+mmJu2saXc24738xeNrMbzGwtcFUr99/TzGaYWZWZLTOzv5hZJOd2Z2bfMrOPzGydmd1sZubfFjSz6/z5+Bg4dmOvmz/+UzO73Mze8l+/+8ws1mI+5vvvkymW0/Xvx3GxmX0EfJRz3bf92GrN7NdmNsZ/PjX+axjxx/Yxs8fMbJX/PB4zs+FtxdtCzI+31szmmNkuObENNbOH/G1/YmaXtmd+zexFf9hc/71z+mbEIyLS45j/ucTMLjOzlf7f1Qtybi8xsz+a2Wd+nnnJzEpa2c4FOfn3YzP7Zs5t/f0cUeXno+nm73w2sx+b2RL/fh+Y2WH+9VeZ2V1mFjWzOiCI97d9gX97y89OG827vmP8uFab2R9sIzu/zWw7M3vaj/MDMzttE1M4xsxe9+fmEfM/5/jb2tvMXvHjmms5S5tsbL7MrAx4Ahhqm3fE3u+Bfzvn/uScq3XOrXXO/Qx4HfhlO+4vIiIiIj2ECteyJf4E/Mk5VwmMAe7fyLh7gMV4XTWnAL9t+rLnOwG4F+gNTAFaXfrA/4L1OPBnoB9wPfC4mfVzzp0P/Af4vd+F+kzufZ1zrwL1wKE5V58F3O3/fCkwCTjIj3MdcHOLEPYHtgUOA35hZts7554Efgvc5z/uLjnjv4K3fEkF8FmL53IqXiH5XKDSn4M1rT3vTVgAHAD0An4F3GVmQ3Ju3wv4GBgI/KaV+2eA7wP9gX385/btFmOOA/YAdgFOA470r/+6f9sEYCLea7sppwFH4XVX7QycD2BmhwK/828fgjdf97a47yT/+YzPue4oYHdgb+BHwC3A2cAIYEfgTH9cAPgXXhfcSKCRjbzPNuJE4AGgL957ZrKZhf1iwqPAXGAY3vx9z8ya5mij8+ucO9Afs4v/3rnPn4sqM9t/M2ITEelJBuPlvGHAhcDNZtbHv+06vJywL97f6x8B2Va2sRIvf1UCFwA3mL/zGLgM7zPLAGAQ3s5pZ2bbApcAezjnKvBy4ae5G3XOJZxz5f7FXZxzY1p57Pbk3S/j5dXd8PLPV1tuxC8aP42Xkwbi5bv/Z2Y7tPKYTc71tzUUSON9nsLMhuF9vvo/vHm7HHjIzAb492t1vpxz9cDRwNLcI/bMbH8zq2otADMrxXt9Hmjl5vuBI9qIX0RERER6GBWupclkv2BWZWaT23mfFDDWzPo75+r84vAGzGwEXsH3x865uHPuTeCfeEXdJi8556b6a2LfiVcgbc2xwEfOuTudc2nn3D3A+8Dx7Yz3HvxCpplVAMf41wF8E/ipc26xcy6BV1Q+xTZcluJXzrlG59xcvELlxuJscrtzbp4fa6rFbV/DK7LPdJ75zrnPWttIW5xzDzjnljrnsn7h8yNgz5whS51zN/kxNLZy/9nOuVf92z8F/o5XvM91jXOuyjm3EHgO2NW//jTgRufcIufcWrzC86b82Y93LV7Bt2lbZwO3Oefm+PP/E2Af2/CQ4d/5XVm5z+Na51yNc24e8A7wP+fcx865arwusAn+81zjnHvIOdfgnKvFK+K3fJ5tme2ce9B/Ha8HYnjF8j2AAc65q51zSefcx8A/gDP8x23P/G7AOdfbOdfWybf2zvldrTKzvTfjeYiIdHUp4GrnXMo5NxWoA7b1dyR+Ffiuc26Jcy7jnHvFzykbcM497pxb4OffF/CWrTggZ/tDgFH+Y0z3lyDLAFFgvJmFnXOfOucWbG7w7cwL1/r5biFwI+t3wuY6DvjUOfcvf1tzgIdoeyfync65d/yC88+B08w7Eu0cYKr/WSzrnHsamIX3OWlT89Xac3zJOdd7Izf3xfv+sayV25bh7TAQEREREQFUuJb1JvkFs97OuUntvM+FwDjgffOW7TiulTFDgbV+sbDJZ3idUk2W5/zcgLcsQ2vrGA+lRedyK9tqy93ASWYWBU4C5uQUi0cBDzcVA4H38L6kDmojznLatqiN20bgdUtvETM718zezIl7R7wurvbEgJmN8w+JXm5mNXjd4/1bDNvY8x7aYvvtKby3ta3m+zvn6vA60HNf29aey4qcnxtbuVwOXoeXmf3dP3y8BngR6G05S8dsQvNjO+eyrD+CYBTeIdJVOa/Blfjvm3bO7+Z6Ned3tXdrO4xERLqoDBBucV0Yr5jcZI1zLp1zuSmX9MfbqbjJ3GpmR5vZq/4SG1V4Bdqmv81/AOYD//OXxbgCwDk3H/ge3o7tlWZ2bzuXxWj52O3JCy1za2uPMwrYq0X+ORuvI31jWm437D/2KODUFtvaH6+Av6n52lzr8Lrgh7Ry2xBg1RfcroiIiIh0QypcS1vqgdKmC36Rr7kTxjn3kXPuTLxDVK8FHvQPXc21FOjrdzg3GQks+QLxLMX7cpWr3dtyzr2L90XtaDZcJgS8L3NHtygIxpxz7dn2xk4G2dZJIhfhLa/SmgZy5p2NfAk1s1F43b2XAP387qZ3AGtnDAB/xeta38Z5S75c2eL+bVmGV4BvMrKd92vNBq+t/z7qx4av7ZacdPMyvGVe9vKfZ9MyHe19rs3P0+/qG+7HvAj4pMX7psI5d4w/fEvmV0Skp1kIjG5x3Va0b8foaiDOxnMrAP7O64fwlhUZ5OfOqfh/m5235vJlzrmt8Y7o+kHT8mbOubudc/vj5SuH99lnc7UnL7TMra2dMHsR8EKL/FPunLuojcduud0U3rwtwuvGzt1WmXPumk3NF5uZm/1u7xnAqa3cfBrwwuZsT0RERES6NxWupS0f4nU/H2tmYeBneIfJAmBm55jZAL8DtWktw0zuBpxzi4BXgN+ZWczMdsbr1P7PF4hnKjDOzM4ys5B5J7MbDzy2Gdu4G2896wPZcH3FvwG/8YvBmNkAMzuxndtcAYy2jZw8aSP+CVxuZrubZ2zTYwNvAmeZd/LDo9j40hJleF8YV/kxX4DXcb05KoAaoM7MtgPa+sLb0v3ApWY23F9f9IrNfOxcdwMXmNmu/pfk3wKv+YdR50MFXgd2lb9W+uae/Gl3MzvJPxLge0ACeBXvRFI15p2wq8R/zXY0sz1yHret+V0BbP0Fn5OISHdzH/AzP68EzDuh4fHAg5u6o/9Z5DbgevNOmhs0s338nJIrgvdZZhWQNrOjyVlX2cyO83Oy4f39zgAZM9vWzA71txfHyykZNl978u4PzTup8Ajgu3jz0tJjeJ+JvmLeORfCZraHmW3fxmOfY2bjzVtn+mrgQect03YXcLyZHenPW8y8E2EOZxPzhZfH+plZr82YgyuA88zsUjOr8J/r/+F9NmvPsmMiIiIi0kOocC0b5a8T/G28IusSvA7sxTlDjgLmmVkd3okaz3DOxVvZ1Jl4HVRLgYeBX/rrJ25uPGvw1nS8DG8ZiR8BxznnVm/GZu4BDgamtbjfn/BODPk/M6vFK0ru1c5tNhXA15jZnPbcwTn3AN46y3cDtcBkvHUfwfuSejzezoCz/dta28a7wB/xOpdWADsBL7cz5iaX43Wf1+J1b7f25Xhj/gE8hbfe9xzgv5v52M2cc8/irbf5EF4n9xj8daLz5EagBK+z7FXgyc28/yPA6XiHOH8FOMlf+zSD91rtCnzib/+feCcOg03P71XAHf6h2acBmFmdmW107VARkW7saryd3S/h/b39PXC2c+6ddt7/cuBtYCawFq8jeoPPuv7SZZfi7Xxdh/c3ekrOkG2AZ/DWzp4B/D/n3PN4xdtr8P7OL8c72uzKzX2CtC/vPgLMxtuR/Thwa8sB/vM4Ai9XLvVjupacBoNW3Anc7o+N4c1DU5PBif7zWYXXgf1DILCp+XLOvY/32epjP5cNNbMD/M+GrfLP43Ak3rJty/Beq/OAQ51zb7cRv4iIiIj0MOadb0ZERERERKRzmdkuwDTgLOfcU4WOR0RERESKhzquRURERESkIJxzc4FJwE7W+sm5RURERKSHUse1iIiIiIiIiIiIiBQVdVyLiIiIiIiIiIiISFFR4VpEREREREREREREikqXW0euf//+bvTo0YUOQ0REuqnZs2evds4NKHQcXZ3ytYiIdDTlbBERke6tyxWuR48ezaxZswodhoiIdFNm9lmhY+gOlK9FRKSjKWeLiIh0b1oqRERERERERERERESKigrXIiIiPZyZHWVmH5jZfDO7opXbR5rZc2b2hpm9ZWbHFCJOERERERER6TlUuBYREenBzCwI3AwcDYwHzjSz8S2G/Qy43zk3ATgD+H+dG6WIiIiIiIj0NCpci4iI9Gx7AvOdcx8755LAvcCJLcY4oNL/uRewtBPjExERERERkR5IhWsREZGebRiwKOfyYv+6XFcB55jZYmAq8J3WNmRm3zCzWWY2a9WqVR0Rq4iIiIiIiPQQKlyLiIj0bNbKda7F5TOB251zw4FjgDvN7HOfIZxztzjnJjrnJg4YMKADQhUREREREZGeQoVrERGRnm0xMCLn8nA+vxTIhcD9AM65GUAM6N8p0YmIiIiIiEiPpMK1iIhIzzYT2MbMtjKzCN7JF6e0GLMQOAzAzLbHK1xrLRARERERERHpMCpci4iI9GDOuTRwCfAU8B5wv3NunpldbWYn+MMuA75uZnOBe4DznXMtlxMRERERERERyZtQoQMQERGRwnLOTcU76WLudb/I+fldYL/OjktERERERER6LnVci4iIiIiIiIiIiEhRUeFaRERERERERERERIqKCtciIiIiIiIiIiIiUlRUuBYRERERERERERGRoqLCdU8y/Y8w/5lCRyEiIiJd3Fur3uLG2TcWOgwREREREenGVLjuKTJpeP4aeOM/hY5EREREurinP3uaW9+5ldpkbaFDERERERGRbkqF656i6jPIJKF2eaEjERERkS7COdfq9XWpOgCW1C3pzHBERERERKQHUeG6p1gz3/u/dllh4xAREZEuYfZna9nzt8+yeF3D526rS/qF61oVrkVEREREpGOocN1TrP7Q+79uBWyke0pERESkyYJV9ayqTXD/zEWfu62p43px3eLODktERERERHoIFa57iqbCdaoBEjWFjUVERESKXjKdBeCB2YvJZDfc6V2fqge0VIiIiIiIiHQcFa67KZdKkVq2jOXVcXa+6inqlry3/katcy0iIiKb0FS4XlYd58WPVm1wW1PH9fLVq3nw2lnUro13enwiIiIiItK9qXDdTVU99BALjjiSt19/m5HVjuyaJdB3jHej1rkWERGRTUimM/ShhopY6HPLhdQnvY7rumUpVnxSw/KPqwsRooiIiIiIdGMqXHdTqSVLcakUjQ9M5ejGCNNWfpPMqAO9G2tXFDY4ERERKXqDV8/gtejFfG1H4+l3V7C6LtF8W1PHdU2dV8Cur0q0ug0REREREZEvSoXrbipT7XU+Vb7nLRGyJLkzL3x6hHdeRnVci4iIyCbEGpcTsQxn9P+UdNbxxDveUmPOOepT9VSEKyDlfZSsr04WMlQREREREemGVLjupjLV1QQqK0mFygDYLjaN996L8W7qeK1xLSIiIpuW9tatHlj1BhWxEB8urwWgMd1IxmUY13cc0XQJoI5rERERERHJPxWuu6lMdTWRsWP5uN82AOxddivlfaIszeyqjmsRERHZtLRXjLaFrzJmQDnzV3rLg9SnvOVBtuu7HeFMzLtOhWsREREREckzFa67qUx1NcmSMhb0GUMoVc/KVf0pqYiQsN5QpzWuRUREZBMyfjF67cdM6JNg/iqvcN20vvW4PuOIqHAtIiIiIiIdRIXrbipTXUVtpBQXKiWSrGF1qhfhWICEq1DHtYiIiGySpdcXo/cOz2dVbYLqxlRzx3X/kv5U0AvwCtfOuYLEKSIiIiIi3ZMK191UtqqatYEYMQsSSdawKlnOnOpZLEsHvTWu9eVSRERE2mCZJGmCECph++Q8ABasqqM26a11XRYuo9J6A5BOZUk0pAsWq4iIiIiIdD8qXHdDLpkk29DAChehlxnRZA0LXZp1bjWZVMQ72VK8utBhioiISBELZBIkiMLwiQyqfgOA+Svrmjuuy8PllLmK5vFaLkRERERERPJJhetuKFNTA8CidJiYCxJJVVNva0kEGwiko96g2uUFjFBERESKXTCbIGURGLk3kVXv0DuYZMGquuY1rsvCZZTVhwhkkgDUV6twLSIiIiIi+aPCdTeUqfa6qT9NhLFsgHCmhnAmTjIUJ5ANk3EhrXMtIiIibQpkk82Fa3MZjuy9mAU5HdcVkQpC6QiljSsBdVyLiIiIiEh+qXDdDTUVruuD5d5lailJBOnXqz8AiWyZOq5FRESkTcFMkrSFYdhEAPaOfcb8lXXUJb2O69JwKaTDlDZ4nylUuBYRERERkXxS4bobylR5hetM2Ctcx62GWF1vApEgAAlXDnUqXIuIiMjGBbNJ0oEIlPSGsoGMDa5g4doGqhM1xIIxwoEwLhMkkqwlSJz6qmShQxYRERERkW5EhetuqKnj2oVKAUgFaoklQriwd3siNFAd1yIiItKmoPML1wD9xjAks5Ssg+W11ZSFy3DOkc4ECKXjBNNV1KnjWkRERERE8kiF624oU10FgAVKAEgGaihNpsiEvJc7ER2uNa5FRESkTSGXJNNUuO47hl6NCwFYWVdNeaScVCKDwwhm4oTia7VUiIiIiIiI5JUK191QtqYGZ0YsFAGyxMP1lKRSpIIGQDwySB3XIiIi0qZwNkk2EPUu9NuacMNKyq2RtfEaysJlpOIZAELpOLHGKmqrGgsYrYiIiIiIdDcqXHdDmapqkiVlVFqQYLiOxoijNJ0iGfBe7tpAfxWuRUREpE0hl9qg4xpgj8oqahJ1VIQrSMbTAAQzjVTUVxGvTZHNZAsVroiIiIiIdDMqXHdDmepq4rFyyl2AQLCaeBRKU0kSznu561wZJGoLHKWIiIgUszBJssGmjuuxAOxWtpbGdD1l4TKSjTkd14lqcEZDjU7QKCIiIiIi+aHCdTeUqa6mMVZGaRYsuI6GiBHOZkgnjbQlacjEINVQ6DBFRESkiEVcEhds6rjeGoBtQitJugbKI+XNHdehbIJo0ju/Rn2VCtciIiIiIpIfKlx3Q5nqahqipZRkHNlgFY1+s5SrdSRCjTSmo5COQzZT2EBFRESkKDnnCJNe33EdKYWKoYxkGc7ixIKlzYXraL9eRBPVAFSvqy9UyCIiIiIi0s2ocN0NZaqrqY2WEU1DNlRNo98sRX2GRKiRRDrsXVbXtYiIiLQinXVESeKaCtcA/cYwMLUIAglcJtq8VEjZ8IFEE17H9WdLlxQiXBERERER6YZUuO6GMtXV1EZ6YRjpcDWJqP8y12ZIhhpIpPzCdVKFaxEREfm8ZDpLlBSEcgrXfbcm0rgIsyypVLS547p0xGDC2Qacy7BouU7+LCIiIiIi+aHCdTfjMhmyNTXURXoDkAzVkImFAMjWpkkEG0k3Fa5TOpxXREREPi+ZzhIhvWHhut8YkimvszqRDJOs99azjvQuI9y/P4HscmqWJgoRrjcgnXkAACAASURBVIiIiIiIdEMqXHcz2dpacI76UCUA8XA12VL/S2ddkmSokXTSK2STVOFaREREPi+ZShK2DIRi66/sN5bagPfRsT4eIl7TSCCTJFxZSWjQIErjiwmsKsM5V6CoRURERESkO1HhupvJVHsnR4oHSr3/I7VkS7wvnbGkIxFsIJtqKlxrqRARERH5vFQiDoDlrnHddwz15n10rGkIkqyNE8rECVRUEBo4gN61iwimIlSvbCxEyCIiIiIi0s2ocN3NNBWuE37hujFcD+Xez6WpNMlQHJcK45xpqRARERFpVTLhFZ8tnFO47jOaOr/jel1tgER9gmC6kWBFOeGBAxmw5uP/z959h8l11uf/fz/nnDnTtldJq2ppbUvGvcTGNtUEbFpCCRgCceBLCUlI4QuBhG9ISLkSQgoQSAL8wCRAqMYY22CMbYxtsLFxkW25SFavK23fnXrOeX5/nJndnd1ZySq7ktb367pyrfbsM7OPNM7FzD2fuR8A9m0dmff9ioiIiIjIwqPgeoGpBtclJ36hOe5HkM0CkCkXCRNljDWUbUoT1yIiIlJXMBFcT6kKSaQYb+gCoH/UUM4H8cR1QyNeVxet+7dTdors2Tx0PLYsIiIiIiILjILrBSYcioPryE3iOiUKCQ8nE09cp4MiUSIEoGAboKzgWkRERGYKSnFViDN14hoYa+wA4MCIoZgP8IICTmMDXmcXBstQage7twzM+35FRERERGThUXC9wFQnrnESJJwCBccj5achkyUTFAj9CIBSlNXhjCIiIlLXRHDtpWuuj6VbASgHSQqFsFIVEk9cA+TdrQztKhCWo/ndsIiIiIiILDhzGlwbY15hjHnKGLPJGPPhOj9fboy5wxjzkDFmvTHmqrncz3NBOBx/PNcYD98UKDgOaTeN05AlUy4SeRaAYpTVxLWIiIjUFVTqxNxkqub6WLoRgGxoKZXslMMZ4+A6DLdhQziwa2x+NywiIiIiIgvOnAXXxhgX+CxwJbAOuNoYs27aso8C37LWngu8GfjcXO3nuSIcHoZMhgQOvhknbyDlpXCzDaSDAkE1uLaauBYREZH6wsrEtZuoDa7HE2mSUcQyM0AQGLyggNvQgNfVCUCiuBWAPh3QKCIiIiIiR2kuJ64vAjZZazdba0vAN4DXTltjgabKn5uB3XO4n+eEaHiYqLEJ34LPGAUqwXVjA41RicAxABRpVnAtIiIidUXlSnDtT6sK8Xyy1rKcfYTWwTMBJpHAbWnBJJN0j40RpUvsU3AtIiIiIiJHaS6D6x5gx5Tvd1auTfVXwG8bY3YCNwN/WO+OjDHvNsY8YIx5YP/+/XOx1wUjHB4hamgkZS2+yVMgJOWmcBuyNIZFim5l4tq0qipERERE6poMrqdVhbguDVHE2uQg4OBVPslljCF95pmcsdOQbx1k//bR+d6yiIiIiIgsMHMZXJs61+y0768GrrXWLgWuAv7HGDNjT9baz1trL7DWXtDZ2TkHW104wtFRwnSWFJXgOgpIe2mcbOVwRsfFYimaFigpuBYREZGZwkpw7U2rChkLizRYwyle3GHte5M/y1x8MUt2Fxl3+xjtL2Dt9Kd9IiIiIiIiz95cBtc7gWVTvl/KzCqQdwLfArDW/gJIAR1zuKcFL8rlKCfT+BZckyfEkvJSONkGUuUi1iYpuXmKNEJZVSEiIiIyky0XAUgka6tCxsvjNLgplhAH14nU5FPJ7MW/hmPBDO+gXAwp5YP527CIiIiIiCw4cxlc3w/0GmNWGWN84sMXb5i2ZjvwUgBjzFri4FpdIEchGh+n7CfxrIPj5AFIukmchgbS5QI29Cl6eQq2URPXIiIiUpetTFxPD65zQY50IkNLEFeBJJPuxM9SZ51F6Hu07NsDwOhAcZ52KyIiIiIiC9GcBdfW2gD4A+AW4AngW9bax40xHzfGvKay7APAu4wxjwD/C1xj9bnSoxLlchT9DA4uOPGLzmpVSLKUJwwSFL0cOZtVx7WIiIjUZYNqcF1bFVIMiyT9RpLVA56nBNeO75Nft4KVe/oBGBsozM9mRURERERkQfIOveTIWWtvJj50ceq1v5zy5w3ApXO5h+eaKJcj72YgYiK4TnkpnIYsjrU4BZeSm6cQZqE0dnw3KyIiIickG5QASCQzNdeLQZFUsoUgCgEIvGkzEOefxcr/uY1dp8CogusFIQwjhvvytC3OHu+tiIiIiMhzzFxWhcg8s1GEzeXIe/GLzMgtA5ByU7gNDQAkclD08hTDlKpCREREpC5Tmbj2/NqqkGJYxE+3ULLxc42C69b8vPHiS/BLoxgTMTao4PpENz5cZNfTgzXX9m4epjBWnvj+qV/s5Zt/90tKBXWWi4iIiMj8UnC9gES5uNM678YvMm0yvh4fzhhPyXh5KLkFSmFSVSEiIiJSXyW4xkvWXC6GRVLpdkph/Fxj1NQ+lVx03vPJ+5aEHVXH9XHWv2uMXU9NhtLlYsjN/7Ge/dtHJ67d9/3N3PDphwlK8QR9qRDwvU8+yCO375hYM7w/TxRYglI0f5sXEREREUHB9YISjcd9kwUnfpEZJuO68LSXxqlMXHv5iNApE0UeVPspRURERKYwYYkyLji1E9XFsIifaacQxs8rBqY9lWzOtLFxmUsy36+O63k2ciA/8WcbWW75wmPc+Ln1FMbj6emn7tvLlkcO8Pjdu+M11rLjiQGiwE6E2X3bRokiW1PzkhuJ34CIQgXXIiIiIjK/FFwvIFEuDqKLphpcxw9vyk3hZKtVIRGBUyaMXE1ci4iISF0mLFIiUXMtshHlqEzKy1B2OzFRSF9UG2wbYxjrzJIeO6CO63m088kB/uejv2DDPXEove3xfgb35giKIRvu3o21lkd/ujP+2WMHsNYytC/H2GAcSu/bOhJ/3TIMQG6kNHHf1T9Hoc5PFxEREZH5peB6AYlycRCdrwTX5bpVIQGhE2AjJ/4YcOVwJREREZEqExYpTwuui2EccvquT+A040RldpVmPpUMO1rIjB9gfKioKd15sv6OOJT+xXXPUBgr89CPt9PQmqTn1BbW376DHU8MMLB7nMVrmhkbKDKwZ5wdTwwA4Kdc9m2pBtfx19zwZM3LRHAdKbgWERERkfml4HoBqVaFVCekykkDxMG12xAH16lSRGjKYF0i62jqWkRERGZwwhJl49dcK4VxgJl0kwSmAWMDdpTcGYGm19lJqjiItTA+XELm1uhAga3rD3DKOZ0U8wE//K9H2b1xiLNfuoxzX76C8eESP/nyBlLZBC9521oAtj3az44nBmnqSLH8jHb2bhnGWjsRXE993DRxLSIiIiLHi4LrBaQ6cV2oBtep+PrUjut0KSR04lPhQzwoKbgWERGRWk5UnBFcFyoHNia9JKGTwYkCyi7sG62tBGnsWUGyEE/zqi5k7j1+1y4scOkb13D2S5aye+MQftpj3WVLWL6ujbYlWfKjZdZdtpiW7gztPQ1seeQAu54eZNnaNrpXNTE2UKRv6yi5kRLpJp/CWJkwjLCRJT8ad2RbTVyLiIiIyDxTcL2A2EpwXbYeAIVKVUjSTU4E15lymciJ60FC60NpbP43KiIiIic091AT1zaFEwW0+iPsGMjXrGtf1kuqOAigAxrnyJZH9vPIbTsYGyyw4e7drDyzg6b2NBe+ahUt3RnOuWIZfsrDGMMFV64kkXQ54wU9AKx4Xjt7Nw9TLoRxcL2yCYD1d+wAYNXZHQDkR0oUxssTgbUmrkVERERkvnnHewNy7ISVqpAwAocyxUR8YFLKS2GMh3UcMkEJ14uvhzahqhARERGZwYlKhKa247oQViau3SQlW8KxJboSQ+wczHHRqraJdYtXnEFUiINrTVwfe0E55LavPEExF3D3tzcCcOYL41DaT3m89a8vrlnfe2E3q8/rxHHjeZUVZ7bz4C3bwEDPaa14CQfHMWz6VR9uwmH52jY23LWb8eESXmJyxkXBtYiIiIjMNwXXC0h14tpYSJgC466LZzwSTvzCM8pkyZQLGK8RgMD6qgoRERGRGTxbInBmn7jORzlMFLLE758xcb18yVo2OSVcU2BsoIgcW1sePkAxF/DCt5zGyP48hVyZZWvbDnqbamgNsGhVE8mMR3NnmlQ2fo7YvrSB/dtHWbSiiYa2uGsuN1LC86YE16oKEREREZF5puB6AalOXLs2wjd5+o1LyktNLkimSIVFHK85Xk8CyuPHY6siIiJyAvOiEoFXG1wXwziETrpJwhAcG3B6up/bB2vfBG/wGxhucnHDIUYHNXF9rD3xiz00tqU447IlGMcc9u0d1+GKa9aRzE5O1HevamL/9lG6T2ki2xw/7rnhYs3EtY2io9+8iIiIiMhhUMf1AmJzOYzvk4gsCSdP3jHTguskiSjEdadUhWjiWkRERKbxbIlw2sT11KqQKIqD69XuPnYOznwuUWjNkCj0q+P6GBsdKLDjiQFOu2TREYXWVSvP6mDx6uaJ77tXxT3X3SubSDdWguuRErmR8sSaUFUhIiIiIjLPNHG9gES5HCaTwY8svslTAFLuZHBtfJ9EMcBMBNe+Oq5FRERkBs+WKDjJmmtTq0Li8zRCeqI9M6pCAKL2FlK5A4yqKuSI9I0W+Oj3HuOxXcNc1tvBy9Yt4qWnd/HUvXvAwtpLFh/T33fKOZ0MvSLHyrM6cD2HVEOC8eESCX/KxLWCaxERERGZZwquF5BofByTzuBbQ8LJUzBRzcS1k/Tx82UcN37YA5uAkqpCREREpFbClgjd2uB6xsQ1EQ3hMGO5A5TDiMSUHmWvq4vGR/vpzwcU8wHJtJ5yzmZwvMSXf76V7z20k2WtGc7saebbv9rJeDHg8t5OfvjYXr71wE7OXtTIq/Y49JzaQlNHuu59lcMy//Krf+H5S57P5Usvf9Z78FMeF//G6onvs80+ueEiiaQ7cU2HM4qIiIjIfNOriAUkyuWwmQweJp64thFpb/KFjZNM4ofjmEpwHeIruBYREZEZEraMPcjhjGFkSJg4yFzBXvYOF1jWlplYm128lMR9OwAYGyiQ7GmYp52fXH76VB/v+9qD5Eohl/d20D9W4vN3bWbtoiY+9eZz6O1upBxGXH/nVrZd9zSlwCPTeivRLx/CaewGLwnNy6DrdMIo5CN3f4Rbtt7C9zd9n+teex2Lsot4auApbn3mh7znvN8n4SYOvSkg0+STGymRSLq4CYewHOlwRhERERGZdwquF5BofBybSuNZN+64tkHNxLWbTJGIhrETVSGeqkJERERkBp8y0bSJ64nDGb0kkTVUK5ZXmr3sGMjVBNetS1czXHwEiHuZ2xVcz1AOIz52w+Msbk7xubeez2mLGgHIl0JSCQdj4n/g4ae3MPCdTbSR48Xt/05X/jGcmycrWIquz65rvse123/MLVtv4Z3Lfos7H7me//zan/Dm4tns+uZXecFgyP3vG+L5v/9Xz2pvmeYkg/sG8VMeDS1JhvfnNXEtIiIiIvNOwfUCEo3niJIpjHVJmALFKKDNb5r4uZv0SUQBtnImZ2gymrgWERGRGXxbwk4ProNKcO1Wgms3DlZXmb3sG609hLF7xTqKhf8PgLFB9VzX841fbmdbf44vX3PhRGgNkPYn6znY+Ssev/b7YC/ht161heyLv8tnft7HN35yL69fm+a0U7fy0af+G+fH7+XV91m+sLOd5s1f5+UAPIzlYQrLfZ5pdDn9M99kz35Y9Bd/gUkcfPK6OnEdFCPae7JxcB1Fc/LvICIiIiIyGwXXC0iUyxF0NmNsAteLKASF2onrVBI/LGNNHFwHTlYT1yIiIlLDWotPAF5tVcjExLWbJLIOjmOJmnpYMbiPvcO14XTDkmX4pREgZHSgNtR+Lntg6wBtWZ/uphSfum0jF61q40WnddZf/PSPib75Ozwz9p+sWNdMwys/AMD7r2gliODTt29kdeoOVnmN/Nn1fTQ/6ZM+dykNf3Q1iVUr+dzTX2Z9cj//ePVX+M6T3+Lpz13La77xTcLhYXo++cmJw7rryTYniQJLISiTbY3fwNDhjCIiIiIy3xRcLyDR+DjFnizgkEjEhyil3KnBdYpkFBA68QuVotsAJQXXIiIiMikII5KmPHPiuhJc+65PhINrwGlfzerhPawfqQ2nva4uDBbMCGMKrgG4b3M/b/r8vQB0NiY5MFbi828/faISpEZQgpv+lF3+S8mHjfReuqbmx7//kjVc98TP6Cvs5CMjv07zkzfT/qKVdP3n1yfWfOjXf53Qhviuz6t7X8vrXvwVzjv9CpZe+yP2NjSw6OMfr/+7gUzz5JsWDS3xc0l1XIuIiIjIfHMOvUROFlEuR8mPOyRd35AP8jUT1ybpk4hCgsrDXnDSUFZViIiIiEwqFfPxH6Y8h4A4uE44CRzjEOHguEDb6rgqZFpw7aRSFDMJCAY0cQ0UyiEfvu5RlrWl+X+vWseq9iy/c8kKzlveWv8GD38NhnewqfF38ZIuy5/XXvPjpOdyeu8GevYl6P7CbWROaaNz0S9h+30Ta1zHxXfjALq3tZe1bWv54vP6aH/vexn69nfY8alPzrrfTNOU4Loyca2OaxERERGZbwquF5BofJx8Ig1AIunMqAoxvo8fBUQ2HrQvmYwmrkVERKRGqRgHzaZOVUj1k1wRDq5roH01TYwyPrR/xv0E7U14xQOMDOTnftMnuH+99Wm2HBjnH153Fu+8bBXfeu8l/PVrn1d/cVCCu/6FcMmFbH7GZ9VZHST82lqPocIQG/bcyYe/7zBqfDL/9BlM8xL48pVw+99BWJ5xt69Z/Ro29G/gmmU/4u51huEvXkt51666W8g2T07bZ1sUXIuIiIjI8aHgeoGwpRK2XI6nqIFEyptRFeL4ccd1mfjFT8lJ6XBGERERqREUK29qe+ma68WwiO/6WGuJjIfrAG2rAUiObJ1xP05HO5n8ALmh0nOyZuKb92/nDf/xc17xbz/jC3dt5uqLlnHpmo5D3/CR/4Xh7exa+WcUxsusOb9rxpIfPHMD77ixQNdgjn+44K3cMNgKv3c3nPVb8LNPwB1/P+M2V51yFYuyi1jUsJgHX/88IiL6PvXpuluoqQqpTlw/Bx9DERERETm+FFwvEFE+nmYquvGLTDftE9mI9JQXnSaZxIsCwtAjNAFFkqoKERERkRrlSlWISdRWhZTCEikvNTF563gOtK4AIJ3bNSPY9Lq7aRwbxEaQm3Z440IWRpaP/2ADf/bdRxkrBixvy/D2S1by51etPfSN80Nw5ycodl3MLx9sxU+5LD+jrWbJ+v3refJLn+bSJyxd7/8jOPd8vvOrnZBqht/8T1j9UthwPdjax6Mt1catb7iVL738S7z8197CDy8wjPzgBxSeeGLGNhJJF8+PXyY0tFam7DVxLSIiIiLzTMH1AhGNxwF0wYlfXDjZBMCMqhAvCglLhtAJKOOrKkRERERqlEtxVYiTqD2csRAU8F2fMIgA4qqQpiUAdNp+BnOlmvWpRUtoGx4EYHTguRFcR5HlD//3Qb50zxZ+99KV3PT+y/n82y/gr15zBo2pxMFvbC3c8IfkhvNcv+8j7N8xykvevhYvMVkTcs+ue3jfje/kdbfncS86l/Z3v4s3nr+UJ/aM8Niu4XjRaVfCwGbo3zTrrzqn8xy+d4lD0JBi3yc+gY2imp8bY8g0J/FTLn4q/v1WE9ciIiIiMs8UXC8QUS4OoIsm7q+2mfgjntMPZwSgZAhNOQ6uywquRUSe64wxrzDGPGWM2WSM+fAsa37LGLPBGPO4Mebr871HmT/ViWun3sS1myIK4gDT9QykWgjcDEvMAPtGasPpxiUryBQGABh7jhzQ+JnbN3Hzo3v58JWn87FXn4HrmGd/4/u/CE/cwE3BpxkahFe+7yxWnzdZE3Igf4D33/5+XvtUI5l8xNI//iDGcXj12UvwXSeeugY49RXx16d+OOuvWtG0gmRzGw++5jRyv7iX/XUqQ7JNPukmH+PGfwdNXIuIiIjIfFNwvUBUg+swqry4SFcmrqd2XCcrk1MFS+AElG1CHdciIs9xxhgX+CxwJbAOuNoYs27aml7gI8Cl1tozgD+e943KvAlL9YPrQlg7ce14DhhDuWExi00/+0Zqw+nGU9eSLFYnrhd+cH37k/v4t9ue5nXn9fCeF5xyeDce2Ay3/AUjS19HX3+GX3vNKSw/o71myY+2/IhyUORVD0Dq7LNIn3sOAC0Zn5ed0c31D++iGITQsgy6z4SnfzTrrzPGcHbX2Xz7jBFa3vgG+v/rvxj67nU1a067eBHrLl2C41SD66jeXYmIiIiIzBkF1wtEtSqkMgRFkIknr2s6rv144joqQuiUCayniWsREbkI2GSt3WytLQHfAF47bc27gM9aawcBrLV987xHmUdhpSrEnVYVUgpLJN3kRHDt+XGFhGnqYbEZmBFcp047DS8sgiks+InrfSMF/vgbD7N2URN//5tnYsxhTFoD3PMpwLJ9+QcBWPG89hlLbtp8E7+xpwd27qH9d3+35ne84fylDOXK3PHk/vjCqS+H7fdCbmDWX3lu17lsG92O/6E/JPv8S9jzsY9R3DRZL3LG5T2c9/IVGGMwjtHhjCIiIiIy7xRcLxDVievqOTzlVL2O68mJ69AJCGwCggJE4bzuVURETig9wI4p3++sXJvqVOBUY8w9xph7jTGvqHdHxph3G2MeMMY8sH///jnarsy1sByHzJ6frrleDIsk3SRBudJx7cVPIxNty1hs+tk7Lbj2WlsZbUrgBUOMDi7sjut//OGTFMoRn3vreaSmdFI/KyN74OGvwzlvZceWkMa2FC3dmZol20a28Vj/Y7zylxGJJUtovOKKmp9fvqaDjgafGx7ZFV847UqwIWy6bdZfe05nPLG9fvBxlnzykwAzpq6rHMeo41pERERE5p2C6wWiOnFtI/BMgaIfB9dJd3JaqtpxbQsRoQkIo8oLK9WFiIg8l9UbDZ2eUHlAL/Ai4Grgi8aYlhk3svbz1toLrLUXdHZ2HvONyvyIqhPXyfrBdViID2F0EvGnu9zmHrrMEPuHZz6fGF7aTDLfv6CrQh7cPsh1D+3i/1y+ipUd2cO/g1/8O0QB0cXvZ+eTgyxb1zZjYvumzTdx7jOWpid30nbN72A8r+bnnuvwyjMX85Mn+hgtlGHJeZDtgqdumvXXntFxBp7j8dD+h/Da2mh44QsZufFGbDhzoMFxDaE6rkVERERknim4XiCqE9dYS8LkKbhxcD21KqTacR0VLaFTngyuVRciIvJcthNYNuX7pcDuOmu+b60tW2u3AE8RB9myAEWViWvXr60KKYZFkl6SoBJcu9XJ4uYeHCylwV0z7iu/ooumkQMLtiokiix/fcPjdDUm+f0Xrzn8O8gNwANfhue9nn0j7ZTyAcvWttUssdbyw6d/wHt+msBfsYKWN7+57l295pweSkHELY/vA8eB570eHr8enrix7vqkm2Rd+zru3HEnn3noM9y2tkywfz/jv7h3xlrHNVgF1yIiIiIyzxRcLxDReCV8jgy+yZN340mcqYczVjuubSEidAIiTVyLiAjcD/QaY1YZY3zgzcAN09ZcD7wYwBjTQVwdsnledynzJgoqVSGJaRPXQe3EtVvpuKZpKQB2eGZwHa1eTiY/SDEXUCoEc7jr+fXg9kH+7Dvrefm//YxHdg7z4StPJ5v0Dn3D6X7+GSiPw2V/wvYN/RgDS09vrVny8P6HOfOO7bT1Fej+iz/HqTyfm+685S0sbU3z/Ycrj8MVH4Oe8+G6d8Huh+re5uLFF7N5eDOfX/95PpW+h6ghzfD3vz9jnTquRUREROR4UHC9QFSrQowlnrh24oe2Xse1U44InfJkcF3Oz+9mRUTkhGGtDYA/AG4BngC+Za193BjzcWPMayrLbgH6jTEbgDuAD1pr+4/PjmWuVatCEtOrQqJKx3UluPYmgusl8frxvTPuy+9dQ7IYHxA4NrAweq7X7xzirV+4jx8+toclLWn+36vW8RvnTK+FfxYGNsc1IWe9CbrPYMeGAbpWNpHKJiaWBFHAZ279OG+8x5J6wWU0vOAFs96dMYbXnrOEezYdYP9oERJpuPp/IdMO/3t13UGF9579Xm5+3c3c/ea7CTzD3otXM/qTnxCO1a51XEOkiWsRERERmWcKrheIKJfDZDKYyCFhClQ/kFsTXFc6rhNRiHUibFh5+IOF8UJSRESOjLX2Zmvtqdba1dbav6tc+0tr7Q2VP1tr7Z9aa9dZa8+01n7j+O5Y5lIUVILpZKrm+uTEdRkAN1kJWJvj0LaxtJdyGNXcprF3LX5xEIDRwZO/LmTHQI53XPsAbVmfn3zghXzlHRfxzstW4Tj1quIP4ZaPgpOAK/6a/t1j9G0dYdm62pqQr274Kr23PkUygJ4//4tD3uVrz+khsnDT+krbT0MXXPVPMLoHdj4wY33CSbCscRnNyWaWNizlV+c2YvN5Rn/845p1jiauRUREROQ4UHC9QETj4ziV4NpzShTCOIyuVxXiR2WsG2GjanB98r+QFBERkWOk8rzA9zMTl6y1FMMivusTFuPg2qtWY6SaKbtZFjEQT/pO0dmyhKFMdeL65H6+UQoi3nHt/ZTDiK+840K6GlOHvtFsnrkdnrqJ6LIP8NC9Zb799w+QzCQ47aJFE0t2jOzgC/f/O69Y79J0xcvwV6485N2e2t3Iqd0Ncc911dKL4q+z1IVUrWldw8/b+vHXrGbgy1/CRpNvQsQT19FBbi0iIiIicuwpuF4golyuEly7OG5AsRJcJ73Jg5WqhzP6YQAuMDFxraoQERERqagE18n0ZHAdRAEWS8pNERSnTVwDpewiFpt+9o3UhtMd6Q52t4yCjRgbOrk/4fXfv9jKxr4x/vVNZ7Omq/Ho7uyn/wgtK3gk/xv8/LpNLD+jjas/9mu0dE/+m3/6oU9z2WMRqVxA29vf9qzv+mXruvnlxDNeFwAAIABJREFU1gGGcvHkPNl2aFkBux886O16W3rZOrqNlve8i+LGTTVT147r6HBGEREREZl3Cq4XiCiXw8lmsdbDcSOKYRHHOHhm8qAgUw2uozK4FsJKN6WqQkRERKQqKBFag5+YPASwEFamsF2fsBgfsjg1uI4ae+oG163JVnZ0g18aZWz/2Dxsfm4MjJf41G0beeGpnbzk9O6ju7ORPbDjXuw5b+Pxe/pYvKaZK997JpmmyX/vwcIgP9l2K697OEly3VrS55//rO/+irXdhJHlp0/tn7y45FzYdfCJ697WXkIbsv/iXvzVqznw2c9OTF3rcEYREREROR4UXC8Q0fg4TjqNtT6OF1EKSyTdJMZMdi5Wq0ISUYh1LaZ6OKOqQkRERKTChAVKJHDcyaeJxSkVZGGpUhWSmgyuvdalLDYD7BupfTPcdVyGeppIloYY3TM0D7ufG5++bSO5UshHX7n26O/syRsB2JP9dYb351n7/MU1z9cAfvDMD1i7uUzTriHa3vb2GT8/mLOXttDZmOTWDVPqQnrOg+HtMH5g1tutaVkDwDOjW+h43+/VTF07jg5nFBEREZH5p+B6gYhyOWwmS2STGM9M9FBONRFch2VwwFQ7rssKrkVERCRmgiIlEjXXqsG17/oEpRAANzX5PCPVtoxOhtk/NDrj/grLu0gWhxk/SQ9n3N6f43/u3cbVFy2jt/soK0IAnrgBOk7lySd8vKTL6vO6an5sreW6jdfx1gezuO3tNL3yqsO6e8cxXLG2izuf3k8xiB8rlpwXfz1Iz/XKppV4xmPj4EaaXvEK/FNOYeDar8T36WriWkRERETmn4LrBSIaH6ecjF9MOb5DKSqRdJI1ayY6rqO449pYh8g6mrgWERGRCSYsUTS1b35PTFx7KcJStSpkco1pWYpjLPmBnTPuL9nVTbI4RC7/7KeGTyS3PbmPMLK85wWrj/7Oxvth6z2Ue1/Lpl/1sea8TvyUV7Nk/YH1JB7bxClPj9L+jnfg+P4sdza7K9Z2M1YMuG9zfDAmi88GzEGD64SbYGXzSjYNbcK4Lo0veTH5xx8nKpVwXKOOaxERERGZdwquF4gol6OUzALg+N4hJq4DrBu/eAysr45rERERmWDCIsH0ietgcuI6rExce+kpb5A3LQHADu+ecX9tzYtwwmFKoTsxrX0yuXdzP0tb0yxryxx68aE8dTPYkGeil1Euhqx9/uIZS67beB1vvhuc9nZa33L1Ef2aS9d0kE64k3UhqSbo6IVdhz6gcdPQJgCSZz4PymWKTz6J4xhCBdciIiIiMs8UXC8QUS5H2Y9fUDmp5ETH9VTG88B144nryiMfkoAgP9/bFRERkROUF+YpmNrnEDUd10E1uJ4SbjctBcAd2zXj/jrSHZRN3G89PnxyvVkeRZb7tgxwySntx+T+9v3yXm7Lf5g7f1SguTPN4jUtNT/vz/ez5fYbWLc1pPM978ZJp4/o96QSLpf1dnD7k31YWwmcl5wHux8EO3sAvaZ1DbvGdjFQGOAvB/8HgPz6R+OJa1WFiIiIiMg8U3C9AFhricbHKZn4o6ZuOll34hoA3ycRlrFOPHEdauJaREREpvCCHCWnNjAthSWgMnFdjjBRiJucEm439wCQyu9juo50B0W3ElwPnVzPOZ7YO8JQrswlq48+uM49cR/XPfwanhk/n1Mv6OKVv3/WjEMXr338Wn7jziJ0ttPypjcd1e974amd7BrKs+XAeHyh5zwY2weje2a9TW9LLwDvufU93F54hOEGh8Kj6zE6nFFEREREjgMF1wuALRYhiig7LgBuNk0xLM6YuAYwySSJKJgIrgO3AcqauBYREZGYF+ZnBNeFMD4PI+km4+DaBhMVZPEPGim5WVqDA+QqHdhVnelOcolhAMZOsuD6F8/0Axx9cD2wmY1f/SIRCV7/J+t48dvW0rooW7OkP9/Pgz/+Gmt3WLrf/d6Js0mO1At6OwG4a+OB+MKSc+OvG2+d9TZrWtcA8OTAkyxrWs7GxZbc+vXx4YxhdFT7ERERERE5XAquF4AolwMgqDycfjZbtyoEwPF9/CggMvHa0Mlo4lpEREQmeFGewK0/cZ10k0RBiBNNC66BUqqddjPCvpHa5xUd6Q7GkpWJ68HSHO782Lt3cz8r2zMsbj6yyg4A8kPw1Tfw9OjFdC5J0L56ad1l1z5+LVfdU4DWZlre8Poj/30Vy9szLG/LTAbXi8+JD2m88U/gwf+ue5uehh6WNy7nbevexjVnXMPGxYbylq2YKCRSVYiIiIiIzDMF1wtANB5/BLRs4ynqRGPTrFUhTjIZB9fViWunAYLC/G1WRERETmjJKE/oHWTiOrB1g+so00E7w+wbqX1e0ZHuYChbxA2LjA3k5nbzx1BY7bc+2mnrh7/GYF+BvtIqTn3+irpL+vP9/PzOr3PeM5bO37nmiLutp7u8t4NfPHOAchiB58M1N8EpL4Ib/hDu/+KM9Y5xuPE3b+RDF36I7kw3m+IzN7Hjo+q4FhEREZF5p+B6AahOXIfEYXSquWXWiWuT9EnZkKjy0BedjIJrERERmZCMCoRebY1FdeI65aUIgwhjwxnBtdPQWZm4rn1e0ZZqYzgLyeIQY31jc7v5Y2jD7hFGCwEXH+3BjI9+h6fdN2IM9F7YXXfJVx7/ClfeU4BMmtarrz663zfF5b2djJdCHtoeT7yTbIS3fBO6z4THrqt7m2rvdne2m82L4j/bkWF1XIuIiIjIvFNwvQBUJ66DysR1qrVt1olr4/ukbEBYeVGSV3AtIiIiU6TIQyJTc60YxvUfvusThpWJa9etWeM3ddFRJ7hOe2lyjQn84hBjgyfPuRp3bdoPwCVHE1z3P4Pd9SBPjV3C0tNbyTbPHCroz/dz111f45InItrefDVuc/OR/75pLlndjmPg7o37Jy+6CVj0PBjcetDbdme6GU8bCkvaiIYHFVyLiIiIyLxTcL0AROOViesIDCHplrZZD2d0/CSpKCSw8YvNgjquRURkDo0VA3XjnkRsFJG2RaxfO3FdrDxXSLkpohAcwhm3TTR108YI+4Zrw2ljDFFrE8niMOMj5bnb/DFUDEL+++fbuGhlG11NqSO/o8e+y4b8yxgd9zn11xbVXfLfj3yJd12fx2lppv3/vPPIf1cdzekE5yxr4WfVnuuq1lUwshvKsw8vtCRb8B2f/lVtRIMD+v9jEREREZl3Cq4XgGpVSBQZEqZAunI4Y92J62QSPyoTVCauCyYJ5ZNn+klERE4exSDk0n+4nese2nW8tyLPUrFYwDMR+IeYuCaacVuT7cQ1ltGh/TN+5rS1kSwNkc/Zk6Ir+Vv372DvSIH3v7T3iO/DhhH3/mSEn468j57TWllzfteMNf35fkpf/Cqr9lmW/u3f4bW1Hc2267qst5P1O4cYyk05GLN1JWBhaPustzPGxHUhaxogP05pXx/Xf+K99Of7j/keRURERETqUXC9AFSrQiJrcE2RlOfOOnFtkj6+DQmieOK6aJKauBYRkTmRK4YM58tsOXDy9Bo/1+XGhgFwpk9ch0Vc4+I5HlFUf+KabAcA5eG9M37kdXSQLA4RWUN+7MSeui4GIZ/76TOcv6KVS9cceU3I/d+6j1/tfwnrThvh1e8/Gy/hzlhz/Q3/xKvuKeG+6mU0vvSlR7PtWV2xtovIwq0b9k1ebF0Zf30WdSH3nJ2g4ZJLiIzLaV+6k0e++4U52aeIiIiIyHQKrheAqRPXjimScM3shzP6Pn4YUIwqhzOSgkAT1yIicuyVwngqdzh/YgeVMik/PgqAm2qsuT71DfEwou7ENdlOAILRmRPXjc0duGEcio8PndhvmH/7gZ3sGS7wRy/tnTio8HCVCgGP3DPCKal7edG7LsN1Zz7l7s/303TtjRQbk6z+q78/2m3P6syeZpa2prnp0T2TF9tWxV8PFVxnu9mX7yO1YhlBJq5McfZp4lpERERE5oeC6wVgcuLaxZgyoQ0JbVi3KsTxkySiMqUofiFWxNfEtYiIzIliuRpcB8d5J/JsVYNrLzVz4roaXMef8KpT91EJrk2uH2trf96abKXkDAEnfnD99fu2c/bSZi7v7Tji+3jy+3dQChKce5GDaah/P9ff8E88b0tI4+/8Nm5DwxH/rkMxxvDKMxdzz6YDDOcqbyJlO+MDOAe3HPS2XZku+nJ9GNcQRpYIcEbG52yvIiIiIiJTKbheAKJcDhyHKPKwTkgpjDsM61eFJEmEAYXIA6BkExDMfjCPiIjIkSqFcZ2EJq5PHqX8CACJVG2QWgyLJL3qxLXBOUhw3RwNzXjMW1Ot5Lw4uB47gYPrIIzY1DfGxavbj3jaOhrp45G7+lmU2c6iN/5x3TUDhQHSX72RYjbB6mt+72i2/KxcdeZiyqHlxxsqNS7GxHUhUyeuizMrfboz3ZSjMiVbxEaW8RQ4I6r+EREREZH5oeB6AYhyOZxslrASXE89QGk64/t4YZliEL8YK5M46InyIiIiR6oYqCrkZFPKxaFkIjN7VUhkZwmuM21YDB1mhL0jtc8tWlOtjCVHwUYn9MT1toEcpTCit6vx0ItnsfW//5WRoIuzX3UmJFJ113z35n/m3I0h2be+CSebrbvmWDpraVwXcvPUupDWVZPB9Y5fwj8shwMba263KLMIgFw4DpFhNA3OaG7O9ysiIiIiAgquF4RofBwnkyGMfKzDRHA92+GMXlAmX65OXHuauBYRkTlRDa5HFFyfNMr5uCokmZ4WXAfPIrh2XIJUG+0Ms2+kNpxuS7YxnI3wg7ETOrjeuC8O7k/tPrLqjt13/Yx7n1hLY7bEKS88t+6a/nw/DV/+PqWUxynv/IMj3uvhMMZw1ZmLuXtqXUh14tpaeOIHYEMY3lFzu+5sNwB78ntwrMNYGlwF1yIiIiIyTxRcLwDxxHWGIEoRuRy0KsRJJnHDgFLoEJgSgfXUcS0iInOipInrk05QiIPbZHZacB1NCa5xqHPWYCzTQbsZYd+0ieuWVAvDWfALQ+RGTtznHRv3xcH96s7DC67DcsRNn32E730toEgDL3zbWTiz/CPd9Y9/wjkbQ9Lv/V3c5uaj3vOzVa0L+enTffGF1pVQzsFYH2y+I7427VN43Zk4uN4+tg2Dw0jawR1RcC0iIiIi80PB9QIQjY/jpJKUbJrQMwevCkn4uEGZYtEldAKCyIMgH0/biIiIHEPFIGJp4JDPlWcc1icnpqAQH7yXzjbVXC8GxYnnFREujlv/8XQau+LgenhmVchw1uCXx8gPnbif9NrYN8bS1jTZpHdYt9v66AG2PtrPBdlv8dtvG2bFOUvqrtvz01vo/eb9bLmwh973/Mmx2PKztm5xE8bA5v2VwxXbVsVfd/4S9j4a/7lcG0q3pdrwjMfO8Z0AjKVdvNH8fG1ZRERERJ7jFFwvAFEuB6kkEQkizzvk4YwAYTGqBNdu/IPKbURERI6VQq7Mm0cTvGBwjPFSeLy3I89CVDmgLzMtuC6FJVJu3NccT1zXP7jQbeikyxlh32htON2WbGMoC4nyOPnRE3fi+ul9o/R2HWZNiLVsvHsjaW+UC5f/ksSFv113WTgyQt8HP8yudsNpn/jUER/+eKR8z6GrMcmuoUrw3Loy/vqraycXlWtDaddx6cx0EhB/amIs7Si4FhEREZF5o+B6AYhyOaJkBoAgkTj4xHUyvpYoQ+iUCaPKRJF6rkVE5BgrD45gjMOqsUHVhZwkbCmexk1M77gOp05cOzjuLKFrtpN2M8Le4dpwuinZxGjWIVEeo5A7Md/ECMKIzQfGObX7MA5m3PUrSv9yIds2jLDGvxvn1z8ObqLu0mf+61P4owUees/lrF58xjHa9eHpaUmza7ASPLcsBwxsug2qww51ng92Z7qxJq79GUu7uMUyUUkDDyIiIiIy9xRcLwDR+DihX+md9FMHPZzRqUxcJ6KQ0AmJbOU/gbKCaxERObaKufh/W5KYyQPh5IRmyuMEODDtze9iWCTlprDWEhkP153lDrIdNNpx+odHay47xsG2NpEoj1EuQxhGc/Q3OHLbB3KUgog1hzNx/eO/ZOvIaQQkWXPN78HaV9VdNnJgN2Nf/QYPrk1yzes+fox2fPh6WjPsHq4E114SmnoAC6e8KL5Wntlf3Z3tJjLxmw3jqfiBDweH5n6zIiIiIvKcp+B6AYhyOaJEPN0TJpMHrwrx4xeiflTGOiFhWHnlqYlrERE5xoLxyieAcDVxfZIwpRwFUjCtxqI6cW0jC8bgznY6Y7YDgGB0/4wfOW1tJMrxRHdh7MT772FjX1yT8qwnrrffC9vuZqP/Jhpakyx+3qq6y6y1/ODv3k26GHH6//1/dGe7j9WWD9uSlhR7hgpEUaWjvFoXcvpV8dfyzBqQrkwXUWXiOlcNrocUXIuIiIjI3FNwvQBEuRyhU/lYajp78KqQymR2IgywToSNKv8JKLgWEZFjLMjH/3vkGk/B9UnCBDkKJjXjejEskvJShEEceDre7FUhACa3fzIcrUi1tOGGJ3BwvS+eEn/WE9d3/TOF5DK2725kzfldmFl6v7/3wFdYe9sz9F9yOudf+vpjtd0jsrQlTSmMODBWqXKpBterXxrXhdQJrpc1LsM6cXCdz8QVcwquRURERGQ+zGlwbYx5hTHmKWPMJmPMh2dZ81vGmA3GmMeNMV+fy/0sRDaKsLkcYeUzuzbdcNCqkImO6yggciOsJq5FRGSOBIU4nHSMz0jhxAsqZSY3yFFy0jOuVyeuwyAOMF1vtonrOLhuscMMTXuzoi3dTuDFVRQnZHDdN0ZPS5ps0jv04j3rYeOP2bzoT4lCy5oL6k9RHxjcjffnnyQRGi74808c4x0fvp7W+LHdWT2g8Zy3wOUfgJZlkEjXDa5/c81v8u6z3wVAMRU/j1RwLSIiIiLzYc6Ca2OMC3wWuBJYB1xtjFk3bU0v8BHgUmvtGcAfz9V+FqooF7/ACE0cQDuZzLOsCgmw7tSJ6+KMtSIiIkcjLMb/e2RdnxFNXJ8UvDBfP7gOiiTd5GRwnTh4cN3OCPtHa59btCZbyfnxxHX+BAyun943Rm/3s5i2LufhRx8Gv5FNQ2fS1JGia8XMehEbBDz4e7/N6h0hqb/5MKne3jnY9eHpaYkP8544oHHlpfDSv4z/nEjX7bhOeSmWNS8DoJiqVNMpuBYRERGReTCXE9cXAZustZuttSXgG8Brp615F/BZa+0ggLW2bw73syBF4/ELwDLxx1P9jHfQqpDq4Yx+WMY6FqoT13UmbERERI5GkI9DMOumVRVykkiEOQK3NrgOooDABnFwXQyAg01cxx3XbWZmcN2SamEwOQJAYfzE+u8hjCzP7B87dL91OQ//+2bY9nNyL/4Xdm4co/eCboyZWROy/u8/wrKH9/DUNZfR+7q3z9HOD8+SlrgGZvdQned9ifSsn8Bz3PjvV0xq4lpERERE5s9cBtc9wI4p3++sXJvqVOBUY8w9xph7jTGvqHdHxph3G2MeMMY8sH//zMN+nsuiXBxcBzZ+KNNp7+AT15XgOhGFWNeCJq5FRGSO2HzcGRx6KUZG9QbpycCPCoRebXA99XlFtbfcSbj17yDZhHV8OswIfaO1IWhbqo2hTLXjunSMd350tg/kKAXRwfutwwC+8VbYfCf8xufYXHo+NrL0XjizJqS4eQvuN2/ivnMzXPl/Pz2HOz88jakETSmPXfWCa69+VQiAU+3vTvgEvqvgWkRERETmxVwG1/VOqLHTvveAXuBFwNXAF40xLTNuZO3nrbUXWGsv6OzsPOYbPZlFuXiarRpcpzKJgx/OmKhUhYRlcIFIHdciIjI3bGnyTdHSfgVdJ4OkLRB6mZprN2+5GYD2dDtBPg6cPX+W4NoYbLZj1qqQgcYIN8iTqxecHkfVgxkPOnH9s0/AM7fBq/8NznkLGx/oo3VRhrYl2RlLH//rD1F0Le1/+sekvZnVK8dTT2tmsipkqlk6rmFy4trFpZRNKrgWERERkXkxl8H1TmDZlO+XArvrrPm+tbZsrd0CPEUcZMuzVK0KCa3BEJBJxlUhjnHwzMzDhaYezmgdcHQ4o4iIzJXy5FRtODh6HDciz4a1lpTNEyUmg+u7d93N3977t1zacylXrbqKsBA/pu5sE9eAaeikyx2tWxUy0AiJ8hj5/rG5+UscoY198X5mnbje8jO48xNw9lvg/GsYGyyye9MQvRfOrAkZufNO0vc9xh0vbefK86+e660ftp6WVP2J64ME16YycZ3Ap9jgK7gWERERkXkxl8H1/UCvMWaVMcYH3gzcMG3N9cCLAYwxHcTVIZvncE8LztSJa2NKpBIOpbBE0k3W7Vuc7LgOsI7FaOJaRETmSnlKj/Hw+PHbhzwrxSAiTREqwfWW4S184KcfoLe1l39+4T/jOR5BNbj2Z745XmWynXS7o+wfqw2u21JtDDSCXx4jV2/i9zjauG+UnpY0Dck6f6/BrXDdu6F9NVz1TwA882AfWFhzflfN0sLTT7P1ox9mTyuc+XsfwXNm/3c6Xnpa0gcJrmcezgjguvFLBheXYjah4FpERERE5sWcBdfW2gD4A+AW4AngW9bax40xHzfGvKay7Bag3xizAbgD+KC1tn+u9rQQVSeuA+tiTZlkwqUYFuvWhAAYf+rEtcGJKi+oygquRUTkGAvCiT864ydWUCkzjRUDshTAj6eOv/v0dylFJf79Jf9ONhHXYUwE1/UC3qpsJ+0Mz1IVYkiUx064juuNfWP1p62fvAn+6wVQysEbvgzJeM32x/tpW5KlddFkTcjYnXey9eq3kM+Pcv3bV/Oy3ivna/uHpac1zWghYKQw7YDMgxzOaCpVIZ5NUMhq4lpERERE5secjoFYa28Gbp527S+n/NkCf1r5PzkC1Ynr0HpEJiSdcClFJZLOzIMZYfJwRj8qYx1wIxdrwWjiWkREjrVwMrj28idWUCkzjeeLdJgyjp/FWsut227lksWX0J2dPHwwLAYAeH5i9jvKdtBih+kbqX1u0ZpqZaABEuVxRgrRnPwdjkQYWTb1jfH81e21P3jkm/C9d8Pic+CN10LbqokfDe7NsWh188T3xS1b2PG+3ye/vJMPXVXgb179IRwzlx9sPHJLWuLO7d1DeZoWTXkcE5lZJ66rhzO6eBQaPMLNCq5FREREZO6dmM+o5Vmz1aoQUoQmInXIievJqpDIMRgcQjwIinXXi4iIHCkTTp7JnCiWid+vlhNVfjzueXZSDWwY2MDu8d28bMXLataExXhK91AT174tMjY6XHPZd33chga8KEexfOI8Bd05mKMYRPR2TTuY8dFvQ9tqeOePa0LrcilkdKBA66LJLvChb3wDjOHjb7AsX30ul/dcPl/bP2w9leB6xgGNXuqQhzN6eBQyCcLhYWx04rz5ICIiIiIL04nzqkGOSFipCimTpmRsPHFd6biux5l6OGOlArtICgJ9hFtERI4tMyXXSkdl8uVw9sVy3BVyIwC4ySw/2fYTXOPy4mUvrlkTlKrB9UEmrjMdACSK/RSD2se8NdmK9YqE1qVcOjH+e3h6XxzY93ZPqQqJQth+L5zyQvBqn1MN98VDAy3dcXAd5fMMfe96+n+tl2e8ft5/3vvrnjNyouhprQTX03uuE5lZq+OqwbWLRz7rQRQRjerAVRERERGZWwquT3I2l8MkEpRtHFynEs5BJ67xPDCGlA2JnPjhH/OaNHEtIiLHXgQmCnDCIhksw/ky3/nVTl7wiTsoh5rWPNEUcnEQ6aWy3LrtVi5cdCEtqZaaNRNVIQcLrrOdAHQwwoFpXdatqVZKfhyYFsbKM256PGzsi//eNR3Xe9dDaRRWXDpj/eDeOLiuTlwP33wz0cgIX+7dzSWLL+HCRRfO/aaPQkc2ie86dYLryuGMdT4ZYapVIdYjl4kP9lbPtYiIiIjMNQXXJ7lwfBwn7VOyKQoY0pWqkNkmro0xmGSSNAFRZRoo72ZnPYxHRETkSBlrcKIyTjiOj8NwvszNj+5h+0CObf3jx3t7Mk2xElzvdvNsG9k2oyYEICxVguv0LG+QA2Tjiet2MzLzgMZUK3k/Dn5PmOB63xiLm1M0pqaE8dt+Hn9d8fwZ64f25cBAc1eGrcNb+eV//A0722HXmmY+eOEH52nXR85xDItbUuwemvbcL5ECG0I483GpTlw7uOSyCq5FREREZH4ouD7J2VwOJ+lTtmnyxiV5iKoQiA9oTNmIsPLw573srB8NFREROVLGGowNMDaHi8fAeIn7twwA8NTesTn//dZannmwj3LxxKikONEF+Ti4/mn+aQyGlyx/yYw11eDaTR0suI4nrtvNyMwDGpOtDCXj35MfPTE+7bWxb5Te7mn91tt+Dq2roGnJjPWDe3M0tqZI+C4/vOWzLN9ZJPPG3+TG191Eb2vvPO366KQTLoXp1T2JSmd3nfq46uGMHpq4FhEREZH5o+D6JBflcpiUR9mmGMedmLietSoEMH6ClA0mg2sno4lrERE59qyDsQGRzWNMkvs2DzBaqZp4et/c9+Pu2zrCjz7/GL/60dY5/10LQbkwxk8yab7ZdyevWPn/s3ffYXKVdf/H3/c507f33Wx6b4QkEAgl9EhRpIuKgiAPVf09Fh5RsWHFBxVRFLBRBQWUh95CaCGUkJAekk3fbC+zZfqcc//+OLO72WS2JOxsEvi+rstr2ZmzO3dmdp05n/3O5z6DYn/xXsdYqV7qQU1c00Zj594T142+VgDCda1DtPL9Z9uaqoZOJu1eE2LbTnCdpiYEnInrrpoQe/ESbAPmX/5tXEY/G1YeZFymwrL3qARxO93X6TZo7J641i5Cfuf1owTXQgghhBAi0yS4PsTZoRDa40Nj0mm4cJtqwIlrw+PFp5MkcU5CYoZfgmshhBBDTmkXyk5gqRDa8PPiunoA8gPuYQmud65zprvXvVFDUjaGHNDm8Ea+XVJbhIG7AAAgAElEQVTMzLwJ/Pi4H6c9put+dPn7fp2B24/25FDcR1VIQ5azCWSo/sAHn9WtEaIJm8m7b8zYuAEiLWlrQrTWtNaHyS8LUNtZS+XGVsITR2Dm5Q3jqj88U6UJrl1dwXV4r+MN0zllMLVJOCDBtRBCCCGEGB4SXB/i7FAYy+ucaERcHpRSA09ce714tUXSTk1cK58E10IIITLAAJLYRhjb9LOutp0JeX5OKczlg2EKrj1+F5GOBFXLGjJ+e4eyhJ3gwfizjEgmuePoH+DvCjH3YKWCa9PXT3ANqKxiKtydewfX3gIacyKgbcJNmf8ZGEjXH1Amlu5WFbJ9ifMxTXAdCsZIxiwKygO8VbWYCbWQe0z6yeyDmWEo7D03YeyeuN77NWFXVYiJSacXMAySElwLIYQQQogMk+D6EGeHw1ge5+RRu52Hs7/NGQGUx4PHTpLQTkdhDC8kD46eSSGEEB8lLtAJtBEm6QrgspNcWFfHxNUd1Dd07N2xO4RikSR1W9uZeWIlBRVZrFpcjd4zqDsIxKur2XzmWXS+seSAruPt2rfpIMLXW4MUZO/d69zFTtqgbcz+Jq4BskooM9ME174CWnI17mSYSHDvSorhtqXJ6VqfWLLbxPX2NyG3EgrG7nV8a50zjZxfFmDbG8/isqHyhNOHY6lDKu3EdVfHdZqqEGV0VYWY2Epj5ubKxLUQQgghhMg4Ca4PcXYoRDI1Xa3dThAdt+IDTFx3BdepoNvwpj1JEUIIIT4cE6WTaFcE2/SSG4uQ3WmjlcnYzna2NIYydsu7PmhF25rR0wuZdVIljTs62L6mmbbGCLFIstexjTs6iEeTfXynzNGJBDXf/BbxrVtpffihYb/93T295Wl82sXx4Qh4An0eZyVsDDuJcvfTcQ2QVUKxaqchTXAdzAZ3opNIZ3wolv6hbG0KU5jlIS/g7rlwx1swej4otdfxwXonuM4p9cHyNVimIjB37nAtd8gYRrrg2ud8TFsVkpq41i5sbWNkZ2OHMvf7K4QQQgghBEhwfcizw2GSpnOypTypzuoBJq4NjxePlSBmpYJu7ZGJayGEEENPuYAkhsepHiiOR4mQC8CYSCSjPdc717Xg9pqUj89j8tHlePwunr5jFQ98fyn/+OFbJFObDLY3RXjkl8tY8lhVxtbSl8Y77iCyciXeqVMJvfoaVseBqc6IJCMs2rGImfESPNAzeZuGlXSCa8Pj7vMYALKKybeDe01cF3oLsQ2FS0eJhg987/jWpk7GFu32723bBR01MPKotMe31oVxe022JTcxaUuUxLRxGP70tSoHM1fa4Dp1P6Spj+venBGDpE6CaYBlZ3qZQgghhBDiY06C60OcHQphpYJrw9szcd1vVYjXi9tOErWdk5C4cknHtRBCiCGlNWhcQALD50zWHhtrI+F2KhkqkhYf1Hegteb7j6/hhbV1Q3r7O9Y1UzmlANNl4PG5+PTXZnPyF6dy9DnjCbfH+eBt5/ZWvVKNtjUbltYSahueP+JqrQk++ijNd91N3gXnU/7DH6ATCToWLRqW29/TKztfIZKMMCeS59SHGWafx1qWRukkuAcKrkvIttpo6oz0qmjJ9+UDYKooscSBfxm6rSnMuOLdakKq33U+jpqX9vhgfYj8sgDvVL3CuHooOu6kzC8yA0xDYfXZcZ1m4rq7KsSZuFaGibYP/B8ehBBCCCHER9uBP2MQ+03H4+hEgoRyTh5Nr0nSTmJpq/+qEI8Ht5UknnROTBPaI8G1EEKIIWWjQbnQKokn4ARkM3cb0CxSLjbVd/D06lruf2s7f359y5DddrA+THtTlFHTCrsvKxuXy/TjRnDEGWMoGZ3D+y/tJB5Nsn5JLRUT8tCWZtXLO4dsDX1JNjVRfe111N70fQLz5lH+3e/inz0b94gRtD/zTMZvP52ntzxNWaCM8RGTmOHr91g7qTG0hUpTo9FLVgkGFv5kB+27VbNku7NxGS60K0bcdg3F8vdbOJ6krj3KuOLdJq6r3wXTC2WHpf2a1rowBeUBGt98BUND0XEnDs9ih5ihFPaeE9eurqqQvevjuieutUHSTqJcJiQluBZCCCGEEJklwfUhzI44JxbJVHDt8pnELWeqrf+Jaw8uK0HESk1ca1OCayGEEENKa9CpqhBfrvNyI5QsAG3jiWzDq7ysrWnnluc2APDe9laC4Q/Xebz+zRr+8aO3+MeP3wZg9PTCvY5RSjH7tFEE68O8+Ld1xCNJjr1gIhPmlrLm1V3d/deZ2six9ns3EVq6lLLvfofR9/wdIysLpRS5Z51J6M2lJFtbM3K7fWmJtrBk1xLOGncWHitK3Oi/9sKynOB6QFnFABSpdppCPZPsSikKvYVYnhhx5TugG2Zua3Imi8cWZ/VcWL0MRswG194DAJHOOJ2tMQoqAmSt2oLlNvHPnj1cyx1S6SeuB96c0dQmtrbBMNG2VIUIIYQQQojMkuD6ENa1KU4cD0ol8HlcxCzn5LC/iWvD48WVTBBJTVwntVs6roUQQgwprTVauYEE2YVOGNqZNQLTqifBLpJmLrVtUXa2RPjmwsnYGl7d2PihbnPly9Uk4zZzTx/NJ6+fRX5Z+q7mCUeUkl3gZduqJkrH5FA2Lpe5p48hHrV4+o6V3P/9pdxz4xISsaGdKE02NdH5+usUXnYZhZdeijJ6XoblnnUWJJO03HMvkdWrsdrauq/TWhN8/HESu3YN6XoA7lt7H5a2CLfMQcVDJM1BBNcMIrBMBdfFtNO8xyaM+b58Yu4I2nCR+JB/rPgwtjU7r6PGdQXXyTjUvg8j09eE1G12HhO7LMS4nXHiU0ZjeAbYpPIgZSi1d0W1u++Ja6UUylAY2sTSVqrjWiauhRBCCCFEZklwfQizw86kUNLwoY0EPrfRHVwP1HFtJhOEks4ZS0KbaU9ShBBCiP1ld01cqyR5RXnOhcqg3b2TTk8jSXc2WckEJ04u4fqTJ1KU5eHlDQ0ArK5u48p7l9EeTQz69hIxi5aaEFPmlzP/nAmMPay4z2NN02DWyaMAmHXKKJRSlIzOYdzhxTRVdxLI8RBui1P9wdBOP7c/8yzYNnmfPnuv67zTpuGZOIHmu+5i20Wfoeq0hUQ/+ACA4D//Se2N36HuJz8d0vU0RZq4b92DxNsO5y8vh8lzJfBn5fT7NbYNBoOZuC4BoEi10dTZ+4/jBb4Cwm4nNA7Vtezf4ofA1iZnDWOLUsF1/RrnHWgjj0x7fG1VG4ZLUe3ewJgGyJ51aE5bQ9fmjHsk190T13t3XINTF2JgYNmWdFwLIYQQQohhIcH1Iaxr4jphBLCUhd89yKoQnxdXIkYs1W2Y1CbYCZATECGEEENE7xZclxQUdV9enV9NW5YzWX1uvuIHZ0/HMBQnTinh1Y2NxJIW//PYKl5aX8/D7+wY9O017uxA25qysbmDOn7WySP5xJUzmDSvrPuyM685jP/6zQmc+/U5uLwmO9Y0D/r2B6PtySfxTp+Gd+LEva5TSjHm/vsZ8+ADjPzD7zECAXZedTUdL79M/c9+jhEI0Pnqq0M6dX3n+38hYcUZqc7h/R8s5KgRXvLy8vv9Gie4HszEdVdw3U7zHsF1obeQdncHAJH64a1G2d3WphClOV6yvKmu7eplzsc+Jq5rNwcpHZ3DjvVL8FhQOmf+MK106JmGwtqz49r0gDL6rI8zDIXSxm4T11IVIoQQQgghMkuC60NY18R1XAVIGDY+tzm4qhCvDyMe7z7ttOzUj4HUhQghhBgiWmtsww3KoiC3AsNynrMaireTG3DC18+MyGJCSTbb1zazoCKfYDjBtx5ZxfradkpyvNyzZBuJVDi2Zldb94QsOJ3Yh//4BVZXO/UN9VvbASgdZHBtug0mHVmGYfRsMthVh2C6DUZOKWD72uYh62CObdlKdPVq8s7+dJ/HuAoKCBxxBDmnncaou+7E7uyk+rrrMYuKGH3/faAUrf96ZEjWUx+q55GN/yLRNodfnXMq+QEPJELgzur36yxbYahB3Cf+QjSKYtVOU5qqkGa3E1iHm9r3+9/wYW1rCu3Rb/0u5FRAbuVexybjFg3bO6iYkE9ozWoA/DNmDtdSh5xhKPbMrVEKXP4+34VnmD1VITJxLYQQQgghhoME14cwq8OZVkqoAFE0fs/gJ64N28LQFpaRxLKdrmvZoFEIIcRQsbVGGy60YVGYMwqtneB6nLuK4mwnuG7e0UyoLcbTd6zEva4dl6F4cmUNCyYV84vzDqOmLcozq2tZvqOV8//0Jp//81t0xpJorfnZ0+toiyT46xtbAGjY1k6gwEtTIjkk6x8zs4iO5ijBemfdLaE40cT+B3XtTz0JhuF0WQ+Cb+pUKm//HZ4JE6j87W/wz5hB9kknEXz0UXT8w/dC/2LpH7G0xemVX2Tu6ALnwngYPOl7wbvYWmGoQUzami5UoJAR7k6aQ3tXhdR7neA60tyxX+sfClubQozfM7geeaQT4O6hYXsHtqUpHOcna3MtSZ8bz9ixw7fYIWYq9p64BnD7+60KUTpVFWKakJTgWgghhBBCZJYE14cwKxgEIE4WIcDnMgY3ce1zNl7yWglsw8KW4FoIIcQQ06lQTBlJ/DnlNOdEaPPWM8+KMqm4GHesleamEBveqEbb0LC6liPH5OMxDW4+ZyanTC1lfEkWf3i5iqvue4/CgIe69ii3Pv8BL6yrZ/mOIKMLAzyzuo6mzhh129rZmIjxmbuWdk9pgxM476tnVtfyu7U7Adi+pplY0uLM373Gtx5Z2X1MPGnz+qZG7HTh3x7iO3cSfOzfZM2fD8XFvQJw29a8sLaOUKwncH/svWquuOddPEcfw4SnnyIwZw4ABZ/7LFZzM+0vvrjP/6YuoViS7/7fUl7a+QSeyDx+fNYCCDXB0jugvQY8fU9ca1sT1gG8epDv0Moqodzs2GtzxkJvIa1ZTjgaCR6YPTbaIgmaQ/GeietQM7Ruhco++q03O6+52vJrGVNnY08c02tzzUONaRh9BNcBSKR/PagMhWGb2NoG00Tv2ZEthBBCCCHEEDt0X3ELrKDz9ugYWYSUgd/jGtzmjD7nOo+dQBt2T1WIbNAohBBiiHSHWqaNyipme9lrrKh8mXlFM5hSNANlNRCKeFj7YhVKW0SSbm5cMIm/fWke44qzMAzFl48fx6aGTmIJiweuPIovHD2Ge5du40dPrGV8SRZ3X3oEccvmn69vo7M5SlUyQV17lOfW1AGwfEcrR/3sJX6/aFP3ul7f1MjvXtrUHTh3xpJcdd8y/rUsFVQ3h7jhkZW8uL0ZM9/D9jXNvLiunvr2GE+tqmVdjVNtcctzG/jiX9/hm4+sJGnZ1LZFuOxv73DT46t77gOt2fjMIrZeeBF2NErx177Kl+9dxjG/WMTLG+qJJiyu/8dyrrr/PX70xFoA2qMJbn5qHS9vaODBt7f3uk+zjjsO96hRNN3xRxL19b2uS1g2v31xI4+9V9192fNr6/jU71/nkWU7sW3NO1tbOP2213i06h8ow+Le879NfngH3DYLnv8ulE2HOV/s8zGt395OTPkp0zWD+yHIKqHEaN8ruM735dOS7QTX0Y4DU1O2bc+NGWvfdz5Wzk17fO3mNgrKA2zoXM3YBsibNWc4lpkxTkV1uuDaN+DEdVInUaYBlkxcCyGEEEKIzHId6AWI/We1toLbRVwH6CBCjs81qKoQw+dzjrGc4FpLx7UQQoghZndPXNvgzaWtaAlthmLk2C+DMkkajcRdkyBqMKr6RXaOWohrZyvHnz65+3tcMHck721r5cIjRzKxNIcbzpjC82vrqG2LcucX5jK5JJtjJxSxaMlOTsWgcmIejZEIf1+ylU/NquDnT68naWt+t2gTJ08txTQUV933HpHUxPPXTp3Itx9bxQvr6nlhXT2toTjPr63DMBRjigJsak2iq4LsCHZwfYePNX6b3y3ayNdOncTfl2xlclk2/1mxi/r2KOtr2wlGEmgNJ08p5dRpZTz0z8XM+vHXCJVVMue+v/B4veK1jasoyfFyxT3LGFXop7o1wuxR+TzyXjVfmD+GxR800BZJMKk0m9sXbeL8uSPJ87t5d1sLb2xqou24Szjv37ex9twLyfrN7xh31Gzao0mufeA93t7aAjiB/ZTyHH70xFqyPC5ueHQVd7+2harGTkYWKvLL3mXByIUcVjYJnv8eWHG4+nWomNXvY7ptZRNK25SaDYP7IcgqpkBvo2nPzRl9hUS8SQwrTiyUGOyP1JDa1uwE1+NL9giuy/e+D7Stqdvcxvg5Jby59i2OSkD+rPQB96HCNBRWuv52dz8d14bC0IYzcW3IxLUQQgghhMi8PoNrpdRAu+UooFZrPXmA44bc9oYg/7d4CdddeCYu8+M7NG4Fg+jcXMCgQ7nI8bkGVRWivE5w7bGS2C4b2zKcR1OqQoQQ4pB0MD5n61Rdh3LZoBSXRjVE21BjF0CkFVxPgjIwkxGWjXyOkfH57Fy2nZmnT6ajJcra13Yx7+xx/Obi2d3fM9fn5o5L5vL6pibmZGfx56+/xtnzinmqow0bxdc/M5OXNzXy4yfXcesLH7Bseyv/c8YU7lmyjW/8630iCYscn4uTppTw25c2UtXYydOravnGwsl8UNfBL57dAMDtn5tDeyTB3Y+sY3zSy4i6BMptMg83t66tZ2N9JwUBD49cfSyPv7+LHz6xlmkVuTx81TF85R/L+f7jazAMRdU/HmMWcNWcK7hyU4w/v76Fo8YVcu/lR/HzZ9bz+Pu7+NMlR3DcxCJOvvUVbnp8DduaQpwxo5yvnjqRT/3+Df73+Q2EYxb/XrELpWBiyVg2nvUNrn3uDuJXXclFZ3wXK5BDzLL59UWHs6mhkztf3QzAKVNL+f3n5vDM6lp+u2gVp83poLh8DU9tDXHlYVdCMg4rH4IpZw4YWgNsXdVEfuc2Al2d2APJKiHXDu4VXBd4na932RFikQMztbu1KYRSMLow1elduxIKxoI/f69jW+pCxMJJKibkE3namYz3z5gxjKsdeoZS6Wtu3AFI9rU5o9HdcY1MXAshhBBCiGHQ38T1Zq11v++DVEqtGOL1DMqONx7i2nXfY1f1e4wZM+5ALOGgYLW2orOyAYgoRa7PTecgqkKMVFWI14qjTQ22ASYSXAshxKHroHvO7prGNFKvNM5WeRBrgxFzoH0XPt/dhJPgDS1n6SlRrnihitpdUwBY+u8qNi1roHJyAaOmF/b6vvPGFjJvbCFLHqsiGbdpWdLAPNONq8DDmNJsLsz18usXNnLH4s1MLM3mqgXjmVaey+X3vIvHNHj46vlMr8ilJriUJ1fWcNq0Mr56ykQsW1OR58PtMvj04SMIxZLc8swGnjYS1Bo2vz9xKiuf2MrIYhdbm0L85jOHkxdwc9mxY1kwqZjKAj9el8kvLziMC+9cyhV/f4d76lbjP/oo5swaz69f3IjHZfDL8w/D7zH5ybkz+fGnZ2AYzkaA/3P6VP7nsVUoBV9fOJkp5TmcP2ckD7y1A9NQfO3USVx1wniyvc4duuXMicSuvoIbchp5b+pELj1mLLNHOaHr7FF5bKjr4CsnT8RlGsyfAmrTz3kr0g5b4VPjPsm0ommw9nEIN8PcSwd8PNubIrTUhJhYv5zAhZ8Y3A9BVgl+q4NINEo8aeNxOcMGBb5UcK2jxA7Qm702N4YYkefH507t81G7Eipmpz22aYezgaRZFqdgRwuWx4Vn3KH9+rPPiWuXD+Kdab/GqQpRWNpCycS1EEIIIYQYBv0F1xcM4usHc8yQMyPNuJVFZ8N2+DgH18EgdsCZFIopTY7PRUt84KqQrolrr5UAw0ZbElwLIcQh7qB7zu7anNFwpy4ongQlk8HlgfzRlBRtonHzNpZPfoM7Ghp5zdxMzJ7DjrXNbHrPqaLYsa65O7iOhhIYpsLjc166bF/dROWUfHKL/axfUsvU6UUA5PjcXHjESO55cxs3njEVl2lw8tRSfnLuTCrzfcxNTQvffemRPPDWdq5cMB6lFC5TcdOnpgPQEe/gg9YPuOBI5/ssnF7GzCPKWPnEVq6dWsmmXMV5cyq7/63jS7K7//uIMYV86dixvP3iW5S2N1J45lf4w7lz+X8PrWDh9LJex3aF1gAXHjGSp1fXMr4kiynlOQB8+8wpuE3FJUeP4bCReb3u33EnzKeqooITaldzyQ+u7XXdGTMrOGNmBQCWbXHTGzdha5s/nHw7016+hZJVi2DGZlhxP+RWwoRTBnw8t61uch7G5jUE5n1vwOMBCDiPSQEdtITilOc5rz/yvM6/xVBR4sm+3yGWSWtr2pg+Itf5JNIKrdtg7mVpj23eFcJwKar0OsbVaYzJ41GuQ7ttzzQUltXHxHWoMe3XKEOhbMMJrl2mTFwLIYQQQoiM6/NVt9Z6y0BfPJhjMiLVvRdprT0gN3+wsIJBrDxnuiqqnJP1WGTgqpCuiWuPlUAbOBPXIB3XQghxiDoYn7O7pjHNrlcaF90DXROehsmcETl8ftzv+FlzG5NdlTyT/wFu4MW/rkHZcbI7avngnSTHXTgJrTX/+fVy/Dluzv36XIINYVrrwsw4oZJZJ4+kcnIBIyb1VDx8feFkjhpXyKnTSrsv++L8Mb3WV5br45ufmEJnvJNrXvwqJ406ic9O/SwxK8Z1L13H+43v843Df0jRyjyuOG4cOSVecot95Lfb/OgLs9jUuok1TWs4Y9wZ+F1+wAmJAX7wqenUbHyBdsMg57RTcXld/PVL8/q9vwxDcc/l81CqJ8wuzfHxywvSV3gopchZeBrBh/+J1dmJmd0TiK9rXseyumWcPPpkXtr+EssblvPz43/Oia31sG0pmF74y6kQCcIJN4Bh9rs2gK0rm8img7xCD56RlQMeD0DA+aNDgeqgqTPWHVy7DBd53jy0ESVuBQb3vYZQRzTBlsYQ585O/TtqVzkfKw5Pe3xzTScF5Vksb3ids+ohf8Gh3W8NYKr967hW3R3XBlqCayGEEEIIkWH7NS6ilFqttT5sqBczWDo1GZxo+5gH162tWMXOSXlMabIHuTmj8jkn2M7mjBqVSAXXfZyoCCGEOHQdsOds7YRaLk/qOcZ097q6sng6r6x+BAVw8e8pavwq4bow0XCAMTtexp0MU5U7hs7WKG2NTk0FQM2mVhp3OFUG42YVo5RiytHlvb53nt/NWYdVpF1WV+B8zsRzMJTBz97+GUtqlrCkZgnhZJiq1ireb3yfsbljuWPNL3nguvupD69m4aM3c5hnIRPXHcFVz97B0oY3AXhw/YP89uTfsrFlI7e8ewuFvkLuOPUOoi+9SGDePFxFRb3vllRYuHtA3SXdZf3JPf10Wu+7n7bFiyg8+xwANrZu5MoXrqQj3sH/LvtfFIrTRp/GpypPhD/Mg8oj4Ly74aGLIdoGcy4Z8HZi4QQ1G4OMblhB4KijBr9Af1dw3UlzKN7rqgJvAbYZxbL6fr2SKWtrnEr47in22pXOxz6qQpqrOxk5tZBX1ryNPw6BWekD7kOJaSistB3Xvr6Da1NB0vkZ1YZ0XAshhBBCiMzrb3PG8/u6Cijv47phoVLBtd0xyF3tP4K0ZWG1t2O5nSAgphj05ozdE9e2M3GtbBMNKJm4FkKIQ9LB+JzdNXHt8vUxzVsyxQmts8thylkcM+oXvLWpis6cSSRYjFXoB85n6ctvk2jKwbAiKMNm2TPbsG0oHJFFbrG/3zXsaN/Bd974DlfMuIJTx5xKMBrkmpeuoSHcwKvVr3LsiGN5astTXD3rara3b+e37/0WgOtmX8dnJn+Gi5+6mMufv5xQIsTkgskUT/Zh1Ljo3GnztWnfJKd2BL/vuJlzHj+HhJ3gy8vzyd61hr+/fC6f3NrE+lPH84NnL6PQV8ionFFUd1azrG4Zud5cbj72ZuaWzWVFwwruW3sfkwsmc96k8/CaXpbWLKUl2sKJo05kVM4o6kJ1vFX7FkW+IuaWzSVhJVi85Wne3PUMF+SYvPWX77CEh7igZhO3uqP4DRd/dI1mZayJ9TrG/3QkUM98Czrr4LMPQvFE+K/FENzhbEg4gK0rm7BtTfHOtwh88ZrB/xD4nVqWPDpp6thjg0ZfAXEzgnb5sRMJDLc73XfIiNXVbQAcVrlbcJ03CrKK9jo2GkoQaosTKDPxvLQNAP9HILg2DIWdduI6AIlw+q8xFSpudH0D6bgWQgghhBAZ19/E9T+BB4E0r2rxZWY5g9MVXKtw+g6+jwOrvR20JpkqD40ZmmyPE1wbysCl+n5ola+n41obYNgmScDdxy7yQgghDnoH33N2KhRze/sKrqc6H2deAIbJhFELWGL9k0kbsuCMBua2dPJYaytVL7djJysZWfs23lgrm9V5KAWVx/v5xivf4MrDrmR60fS9vn1brI3rF13PtvZt3PDaDfzxtD/y4PoHaYm2cOn0S3lw/YMs2rGIuaVzueZwJ4wt8jvB5SWNE2j91XX89oc/5r9X/oDPT/kcn33Ph2fKTB4y41wQvIbmRztpjln86qI7eVjdxWl1JUx+/iG014Na04St4Bb/K4ywZlAVrOKVna9QHCjm+MrjWdGwgsufv5y5pXNZVr+MXE8ui3Ys4s5Vd6K1RqcexlvevYWKrApqQz3vMDOVCWgsbVOaTHL0eMW8dfDqqpX8M2LgGeHm9kApkzrbmZ1VCcqA1Y85YeThn4ORRzrfyJcL5TMH9VBuWtZAljdJTsd2AvP6rzzpJbD7xPUewbW3gLC7E6/lJtbUir+iNN13yIjVu9oYkeejODs17V37ft81Ibuc6f6WQA0TazQ6O4Bn7Ji0xx5KTNXXxLW/zz1PnKqQrolrJRPXQgghhBAi4/oLrlcBt2qt1+x5hVLqtMwtaWAqNVXsjXyMg+vWIABJw3kIPV4XhqGIW3G8prfftxsr724d10phahdRpXAnZHNGIYQ4RB18z9ldwbWvj3cAjT4WxmT3Ha0AACAASURBVC6AI68AQI09lpIj7mND0WSuqwmiph1B1uL1tHiPBQV5nlfJ29nG5nGfQBtZPLzzFk7690a+feJrfP3cX5HtzuZva/9Ga7SVE0eeyPL65VR3VnP7ybdz+4rbuebFa7C0xXenfY3z3YdxwolH8kDVY3xn1nWYwWpU/ihuPOpG7GATm087iWSnRe5/f5OXHnyM5j//hca/PYzhc1H+iRup2aKpKIsRDlpse3Y7v51Ww9a/voUxdgzj/vMfNq54mdXV7/DAwksZEwpCbgV2dhlKGSilCDVt5Ja3fsKz9cu5WudyRXU9LdlFPJmbC6FmjmveSYFlsSi/lBVGmItb21kQCtNiKt7JK4ZElFNtL9OP+xbhHfezY2U9374fwIZjZjLp7w/0vq8TUdj1HoxIX4XRn2goQfX6FsazFU9l5eD7raG7KqTYCNHcuUdViK+AdlcTJUC4tmXYg+vumpBoOzRXwayL0x7bFVxvVKuZXuPUhCjDGK6lZoxpKGztVNf0es3oSgXXttNjvTvDVGD3BNcycS2EEEIIITKtv+D6v4H2Pq47LwNrGTQjNQniizcfyGUcUFawK7j2oowE2X7noYxZsX5rQgCM3SaubQNM20XUUOT08dZQIYQQB72D7jm7q8vZ5e/jOSmrCL70VM/no4/hrFgYat6HCafAUVcz6d0/8TbHkh3Zzgkz3qc6kceErc+wfNoxfPXJrRQ0aw7bFeVG42t0+OHi93zMdeVyx9w/YSv46XE/5djYSKaffAdXLrqaaaqQo7/5O7Y0JZk0p43fTw7T/o9H2PRuPjkTPZR//zs0//4PJDstCo6poHVpLTvPXUCo3kt2ZZRwg5cJq+9h4rRifE+9R3XW0aybfjnLHjPIa+lgzPwmjJe+w9SyGUytLIR7zoW2HQAY/kJweSESJCsZ4Wbgh+4AZlkJTD6dQKiZa5s2Qk45nHYd5IzgSyse4EvbXnem0k+4AZo+YP4bt4HhgvPuhOxSAkdeQcXkv2LkV9D55pu0Pf5/JFtacBUW9ty3bh+MPW6/Hsct7zdi25qijS8SOHof+q3Bmd41vVSYEZanCa43u6ooASINwf1a2/5ojybY2hTigrmpAL4+9beevvqtd4XwZrl4t/lNTm/UZF247+H/wcg0nADasjUuc7fg2p2q30lGwJPV62uUYXRPXCMT10IIIYQQYhj0GVxrrV/v57plmVnO4BiWE1znJFsO5DIOKCvYCkDCCIBpkZPacDFux/Ea/W901FUV4reTzsS17SZquPrsNBRCCHFwOyifs1PBtdc/yKaS7FIomuhMvx77VRhzPDNG/zcrqzs4uugJjMMvoNx8m9DDrzCq8U3MRJzSI4KoVfnc+p983MqFr7oJCHHadpPw6XkU3nATW9Yn8VeYPHL+SJqeeJWORh/+iRXUL1e0t04isrURd3EuwXXtJL/5PUL1XnKPm0X5X/+FvvEbBB9/lsDUUVT+7W+0L36b2u/dhKptwnbnMufiUWxdHaIqdyELLxpNYEYdrPk3vPd359805ng45SZnE8T6NaBt8OU5fcqj52OWzQSznxmCqWf1/jyv0gn1d6OUIv+SKwHwTJxE22P/pv255yj8/OcHd7+n0dYYJtgQYfS0QqqW1ZOTaxCoWUvW/C/u2zdSCgKFlMZDaatCgv5OCEK4uWO/17qv1uxK9VuPzHcu2LHU+ThiTtrjm3d1UjAiQGztegwNvlmzhmOZGdcdXGvd+2TAHXA+JqJ7Bde9Jq5NAy3BtRBCCCGEyLD+Jq7TUkpdBzQDj2mtk0O/pIG5bOfkJ98evgmdg01XVUjCCGAbNjm+wU9cK7cblCJAkqRSmNok5smCeCjj6xZCCDF8Duhzdiq49mT1v4FiLzPOh51vwfiTQSn8h53Kl5OXOtctWIqn9Gly3riDjmqoOKaFvC99C+9Dv2LH6wauXD8VJzQTMWfStLgW97YgbXGbvLnldKxpYNud29GWn9L/vp7C/7qWhl/9Ly333kvh5ZdT+vX/puW++2m49VaUx03pT24DoPzmX+I74hhyP/EJjLw88s6vpPP1N4i89x6j/vJnfFOmcMSinbzxSBYbpp3ArgI/408uJt8XdOoWiiYM9b3aL9+UyXgnTaL96Wf2KbiOR5N4Uq8jbMvm6T+uprU2RNHIbFpqQkzOrUG5XGSfdNK+L8pfQGEynLYqJBhw/mAeaR2+1x/dwXXXxoxVL0P5YZBdstex2tY014QoOtxgfJXz6+P/iATXRqoeZK+2D3fqD02JMNB7s8pewbWSiWshhBBCCJF5+xxcAwo4HrgE+PTQLmdwTNs5+clVYaKRED5/1gBf8dHTNXEdVwEShk126oSzq+O6P0oplN+P307SppRTFeLxS3AthBAfPQfuOTu175snex+eo0/5Xu/PZ5wPKx6AKZ+EsukQKKJi/i0UBjsJHHMKnHgDWTUrmJD/Ci5XDcbci8g+7y7M++6j9R8PUXbTTWQvOJ7Ylq3U3HgjvunTKLz6epRSlH3nRoq/+hXM7GwAiq78Mu4xo1GmiXvECACUx0PBRRd1L0cpReVvfg3JJMrj/JF42nEVbF7ewPqldVgJm7Wv7+KSH8/HMA9MD3LuJz9J4223kdi1C3flwH3Um1c08Pyf13Ls+ROYfdpo1r9ZS2ttiFknj2T7mmbQmqLVz5B1zDGYeXn7viB/IQWd7TR19p64zvfm05LlvO6Itg3fHhurqtuozPdTmOWBWIfzh5JjvpL22PbmKMmYRVt2E5NqNMbIEb0rWA5hXT+elt5jg8auies0GzQahgItHddCCCGEEGL47HNwrbW+IxML2Rcuu+fFdLBxF+WjJx/A1RwYVjAILpM4WUQV5PjcwOAmrgEMrxe/TtKCwtAuom6fBNdCCPERM9jnbKXUGcDvABP4i9b6l30cdyHwCDBvsBUkvlQwvF/GnQjH/T+Ye5nzeU4Z5uFnE1j7Hzjth85lp/0Iz8b5UD4Lzv4dKEXhZZdReNll3d/GO34c4/71z72+vbnH2nIXLhxwScowwNPzPOvxuTj/hiMAJwR+7q41bF7eyKR5ZbQ3RXjz31XMP2cC+WVOIFi/rZ1Ie5yxs4r35Z4YtNxPOcF125NPkX3CAuK7dpFz6qlpNxQM1odZdO96DEPx5mNV5BT5ePvJrVRMzOP4z0ziuAsn0vTuWpq/tJycL928fwsKFJCja2jujPfaCLDQV0inLwJAtCPW33cYUmt2tfVMW299HewkTDw17bFdGzNWezazsFaRvSB9ncihyEz9PFjWHsG1a/eJ696UoSCVVWvpuBZCCCGEEMNgv8aBlFKXD/VC9kVQRbm1oAAL6GjadSCXcsBYwSBmto+YnUUHRk9VSDI24MQ1OD3XPp3ESlWFREwJroUQ4qNooOdspZQJ3AGcCUwHPqeUmp7muBzga8Dbg7pdDWgbb/Z+TOl2MV2w8ObelRtn3gKXPQllM5zPSybDVa/Apf/Xs7HcATL+8BLyywIsf2E7tq156Z51bF7eyKJ712Hbms7WGE/e/j7P3Lma+m09e2kG68PYtu7z+8ajSV6+fz1bVzb2eUywPsy/b32Pxc8FMeYcQ+Ntt7Hpos+z7ru/ofGuuwFIJixee3gjT97+Pite2MGzd63GNA0uvmkehSOyeO6uNUTa4xx1fC6RZcucqfG3FoFhkHNq+nB3QP4Csqx24pZNR6ynrSbfl49lJjDsBLHI8ASgHdEE25rDzKzMdS7YvMiZMB51dNrju4PrtmUUtNv4Dz98WNY5HLr2Y9x74jr1O5SI7P01u1eFGIZMXAshhBBCiIzbn6oQgB8Dfx/KheyLFf4k9+bncGFHB5GWmgO1jAMq2dqKK+AhrrNotl2MTQXX4WSYHE/OgF9veL347AQWzglI1MySzRmFEOKjaaDn7KOAKq31FgCl1MPAOcC6PY77CfAr4FuDvWHDTuL35+7bageSXer8b3cVB0fvsDIUcz4xmsX3b+C5u1ZTW9XGhLklbF7eyOrF1Wxf04SVtAnkuFl0zzo+8715rFy0k7ce38KkI0tZeMUMlKEIt8dpqQ1RMSGPZNziyd+vpH5rOx+8XcfZXzmcyikFbF7eSNV7DRSUB3D7TN59ehumqWjY1sHO0i9Qcubp1MWLSVqKja9v55jypazc6KZ+azv5ZQHe/HcVKPj0V2dTUJ7FWdfO4tFbljFqSh7R713L9l27KLrmajpeeJHAvHn7X5HhL8SXCAKa5s44ual3iBV4CwAw7Qix6PAEoB/UOZtATqtI/UxWLYKxC8CV/g/+dVvaKagIoKs+AMB32MxhWedw6N6ccc8/mHRvzrh3cK12C65tA5m4FkIIIYQQGddncK2UWtXXVUBZZpYzOAltkRVRNJsmuq3euXD1o5BTDmOPP5BLGzZWMIjhN4nrLDp0ovtEMJQIUZ5VPuDXK58PXyxBUjtD9xHDD/GOjK5ZCCFEZnzI5+xKYOdun1cDvUZQlVJzgFFa66eUUn0G10qpq4CrAMYUjUDpJF7Ph6gKOQRNOaqcd57YwtaVTYyfU8Lp/zWTp/6wijce3QQaTvz8FHKLfTx5+0oe+cUyWmqcTRA3LWsgkOdlxKR8Ft+/gWgogTfgwhtw0RmMcepl01jx4g6euXM1lZPy2ba6GX+Omy0rGtAaRkzKZ+EVM0jEkix+YAP11SaT55dSWOLhnUc7eeH5CCadHL79X4yKJCi89Q5iMU3xyGzi1dXkjBjBF396LA3f/x7tdXVkn3IKzXfeBUDBFy7Z/zvEX4ChkwSI0dwZY1yx03nud/nxml5MosQSaiju+gGtr3Wm3KdV5ELLFmjdCvOvTXustjX1W9sonuGl8m1nUtw3+aNTTWekgmt7r4nrrqqQvYNro1dViIGW4FoIIYQQQmRYfxPXZcDpQOselyvgzYytaBCKd9jcucii8WKTvI46Z0v0p74BlXM+PsF1axDV1WutdHdVSCgRIuAKDPj1hteLN5wgkQquo4YX4vWZW7AQQohM+jDP2elSw+40SyllAL8FvjTQIrTWdwN3A4wtHqmVncDjGeKJ64Oc6TY4+pwJrFq8k5MumYJSipMumcLDP3mHEZPymbFgBEopZiwYwdrXa5h1ykiOv3ASbzyyiZWLdrJy0U6KR2Wz4LOT2L6mmbrNbZx17SzGzChi5NQCHvvVe+xc38ox501g9mmjsJKa9uYIBeVZqTDSy/nfOqJXn/S48ihvfuevFHdWUTq5lNCSt/Hffzel3/g6TXfeReNtt+EeM5rs446j/Yn/o/j66yn+yvW03v8Awcf/Q+7pp+//HRJwJrUL6Oi1QaNSinxvPqgoccv8MHf5oK2r7SDP76YizwfvLnIunJC+AqWlNkQsnCRaEmJMg4bKcoysj85m4KYaaOJ673fhGaaBTgXXMnEthBBCCCGGQ3/B9VNAttb6/T2vUEq9krEVDYKnQ+NNQlM4QH6oEZo+gFgbsfqNDNzu/NFgBYMYo50TKGdzxlRVSCJMlnvgEyvl8+GxwiRsJ7iOqY93x3U4niTgSfPr0F4LK+6HE24ANTwTYUIIsR8+zHN2NTBqt89HArv3cOUAM4FXUkFoOfCEUurT/W/QqFA6gdf78Zq4Bph2bAXTjq3o/jyn0McXfjIfr9/VHSYv+Oxkph5bQdnYXJRSHH/RJJRSuDwG8z45DtNtMHle73dQZRf4uOg787CSNjmFzmSsYULRiL3vY7Xbc1bu7Bmc9uBNmNnZKI+H2u//gOa77ya+cwcdzz5H9sknk2xupvUfD+E7fBbF11yNUorCS79I4aVf/HB3ht8JrvNViKbOeK+rCnwF2EaEOB+iB30frK9tZ1pFjnPfbH4Z8kf37k/fTe3mNgBqsqs4vBGy5swYljUOl76rQlId18koe3ImrlM/V6mv17adduNPIYQQQgghhkKfwbXW+sv9XPf5zCxncFTqRXZnzIcn0oS1/S1MwBuqcd7aeIA3Z8o0rTVWMIge55yoxgxNtteN1ppQMjSo4Nrw+XBbCeKp4DqKGxIfz+C6qqGD0297nae/djxTy/eYDFz7H1j8M5j9ecgbeWAWKIQQA/iQz9nvApOUUuOAXcBnge6v0Vq3AcVdn6eC8G/1H1oDGpRO4nEPvO/Cx4E/29Prc9M0KB/XE9gqQ3H8ZyYN+H0CuZ4Bj0ln947qsu99l8jKlXQ8+xx5559PxU9uBsMgtmED7hEjUG73ft1GWn6nyzpfddC8Z3DtLSBhhsEoQycSQ3u7e7BszYa6dj5/1BhIxmHra3DYRX3+Ubp2cxB/roe1ofc5vUXjnzI1Y2s7EPoMrl19b86oTNUzca2Us8O7ZYEE10IIIYQQIkP26ZVmqrvygNJaQ9J5sR2Lu/DFmwlufKPngObNB2hlw8fu6ADLwkptCd81cR21otjaJuAeuCpE+Xx4kgliqeA6judjO3G9oa4Dy9bsat37JI2OWuejFd/7OiGEOIgN9jlba50EvgI8D6wH/qW1XquUulkp9ekPsQLQSZRr/4JWkTmGz8eou+6k4uc/p+KnP0GZJkopfNOmYeYN8fRzqiqk0huhORTrdVW+L5+Iq5OkO4tkMDi0t7uHbc0hogmbaRU5UP0OxDthYvqaEIC6zW2MmJBHx6b1GBq8Uz46/dawW3C9V8d1V3Cdriqkp+M69fIRbQ/PxppCCCGEEOLjaV9HJK7JyCr2gW3bkKrUU1FFTrIFo/pdqrUzDBar33gAVzc8rNTJXdJwBua7Oq5DqYnpwU1ce3FZcWKpE464djnhrJXI0KoPXnVtztthY8k0J18ddc5HKzmMKxJCiCEx6OdsrfUzWuvJWusJWuufpS77gdb6iTTHnjTgtDUACkVCapYOUu6KCvLPPy/zNQ+piesRnmjaiesOVwe24SbetGc9+9DqtTFj1SJQJow7Ie2xoWCM9qYoOaNdFFQ7lSG+KVMyur7hZqR+L+2+qkIS6atCtA1o0F2/1tJzLYQQQgghMmhfz1YO+NmnbdvdE9euiKbEbqQgsp1/W86mjG3V6w/k8oaF1eqc3CXcTlVIRGlyfW7CqemYQXVce324EgkilhPWxnSqNeZjOHVd3+6cnEUTaU6+OruCa5m4FkIccg74czZa/uj3sZfquC53h3ttzghOx3XQ7QTDodqWjC5jfW07LkMxqSwbNi+CUUeBL/10eVe/daioidENGu3z4B41Ku2xh6o+J64NEwxX+o7r1Dv9FArb7Om4FkIIIYQQIlP2Nbg+OyOr2AdaW2A5L5Z9YRs3zklxsPx4anUhsfoPDuTyhkXXxHXc1RVc03vi2jWYzRm9uBKx7uA6oU3nijRvDf2oq2t3TqT7nbi2P36T6EKIQ96Bfc5WCpD/7/zYc3nAk02JK01w7S2gze+87gjXZ3riuoMJJdl4oy1QuxIm9F0TUrs5iMttsNO7iTGN4Jk06SO3AWFXcJ209N5XKhP03n/M7w6utdG9RyNJ+eOUEEIIIYTInD5fhSulPrXnZVrr6oGOyTRta4zUa+SssIXGCV2PPPYUttgVuFq3DPeShl13cG1kg6mxFGR7XYSTzsnfYDquDa8PMxEnlnqLaMJOBdcfx4nrtn4mrrurQiR8EUIcvA7O52wFSKglAH8BhaqT5lDvdy/l+/IJZjmvXSJN7Rldwvradqffesti54KJp/R5bN3mNkrH5rK8cRnjGhVZU6dndG0HgtlVFbLnxDU4E9f23q+JVCrsNrSJNmTiWgghhBBCZJ6rn+v+Vym1i/7favxz4KmhXVL/tLaxKWXD5IXkNv+TdsNgW3IsC6aP5qWnRzI79CZo/ZHu1EymqkLiRg7aUAQ8Ji7T2KeOa+XzYtgWdmqiJtm1y87HMLiu664K2ePkKx6CWOpEWoJrIcTB7SB8zpbgWqT4C8iPdRIMJ0hYNm7Tec1R6CskGEgF162Ze/3RGopT2xbt6bf2F0LF7LTH2ramuSbE9BMq2FT1DllhG+/kj9bGjLBbVcieHdfg1IWkCa7N1ONmaLPrzY/ScS2EEEIIITKqv+C6HvjNAF+/aQjXMijatol5phEsPp6ZjYtpMuvY4Z3J4T43oZxxZAWfh3ALZBUN99KGjRUMglJEySHhNsn2Og/jvnRcGz5n8x0jVYGR7HrP58csuNZadwfXsaQFbbucjaQ8gZ5pa5COayHEwe4gfM5WoCS4FoC/gOyo826x1lCc0lwfAPnefKLuCADR9kjGbn5NjdNZPaMiF95dDBNOdsLZNNoawlgJm3BuC6WrnTV5p3z0gmvD6G/iOn1VSM/EtYFOzTvIxLUQQgghhMikPoNrrfVJw7iOQdPaRmkPAC7yWGGXEx9/lnNl4QQIgm7aiMo65gCuMrOs1iBmwEVUFRB3KXJ8zsO4rxPXAIbthApJ6+MZXAfDCeKpbutoPAl3Hg9HXgGnfn+P4FomroUQB6+D8TlbS3AtugQKCTRuB6Cpsye4LvAVEHM5f3SPdWbuD8TLtwdRCmZnN0FnPYxd0Oexzbuc10GbjXWMbUztqfJRnLhWXRPXaa5UJth7/+52dVwb2uzpuJaJayGEEEIIkUGH3k4z2kbhhK4xTz5LR36ZExeeA0BgxFQA2ndtOGDLGw5WMIjpN4jqPKJKk+NzAz3B9aA6rn3OSaPLdk4Ura7gOvHxCq67pq0BvJE6iKQ2bQLo3C24ls0ZhRBi3ygJrkWKvxBPwqneag71bNCY580jYcRA28TCmQtA39vRypSyHLLr3nUuGHNsn8c27+pEKXg7+jrzdwXwjBuHmZ+fsbUdKN2bM6abmO6j43r3zRkt6bgWQgghhBDDoL+qkIOStm3QTlAb8+ZzTGGCynyn9qJ01GTi2qRj13ry2qrh/X/AsV8Dty/j6/rFM+upbo1Qluvj2AlFnDa9LGO3ZQWDmF5N1MomrOiZuE6mgmvXwMG18qaC69QksfUxnbjePbjODu1w/qPpA+ejVIUIIcSHoiW4FgD+AlzxIAqbps6e4NptuMnx5mAQJRZPU1kxBGxbs2JHK2cfPgK2PwSBIijue4K6eVcnuaU+NtatYNyWJNmXXpSRdR1oXcF12ty5j45rY7eqENtMPV5J+R0XQgghhBCZc8gF187EtVMVEvPmEW3sCRfHl+WxQ5eRX70E/vYMtO2E0ukw7VMZXdKKHa3c9doWynK9tEeS/G3JVm48cyrXnDghI7dntbZiui3ilpdObZObmrgOJ8J4TS8uY+CH1UhVhZipSeLu85N4OCNrPljVtznBtctQ5EdSwXVwp3M/dNT2HGjJiZkQQuwLjUIZUiMggEAhStvkEKZ5j0qQAm8BSkWJJw201qgh3ly7qrGTjmiSuaML4I03YfQx/W7g3byrE0qizNiaxEjaZJ904pCu52CR2mcRa786rnuqQmTiWgghhBBCZNKAVSFKqYBS6vtKqT+nPp+klMpsEtwPrW2gZ+I63tgAQEe8g/wAbFMjKG5bA4kwWhk9tQ8Z9Nc3tlLo1Sz6xgms/OEnOPvwEfzy2Q3c8lxmKkusYBDL7YTTHdrq1XE9mH5r6Jm4dqcmiXuC686hXexBqLYtQmOHM/HVNXFdWeCnsCu4RkNzFXTUOz2PIBPXQohDwsH1nK1ASXAtcDY9BkrMME17Bte+AiwzSsLwYXd0DPlNL9/eCsC8oii0bnOC6z7Eo0nam6I0+Hdy1GYDIzeHwJw5Q76mg4Ghuiau0wTXA3ZcG1jScS2EEEIIIYbBYDqu/w7EgK5X+tXATzO2ogFobYNKTVx78tDNLWitufaRz/Pr13/ClsBsGswyfjPyNjbZlYS2Lcvoeqpbwzy/poZFvhvIfv4beFwGt108m4uPHMWfXtnMB3VDexKmtcZqbcXyOhPTQcvuFVwPpiYEeiauXb2CawWJj/7E9bUPLOfr/3wfgPr2KMXZHrK9Lopi1eByamdo2uhMXOdWOp9LcC2EODQcVM/ZypRQSwD+QgDGBmI071YVAs7EddwMk3QFSDY1D/lNL9/RSkHAzeiO1CBDP/3WLTVOXdpGVnLEFkX28QtQbveQr+lg0FUVYqULrgfsuDbRMnEthBBCCCGGwWCC6wla618BCQCtdQQY2vdx7gNbWz3BtS8fo7WdTcFNfPFPVUz82yusGnUJR4V+wx1rXKyyx6FqV0K6t0EOkXvf3MbhqoqCWA2suB82Po9pKK45yakJWb6jdUhvT4fD6ESCpDcb4P+zd9/xcdx1/sdf35ntK61WvbnbcovtuMZOYqd30kMNCRC4H+2Aox7tjuMucBwcNUeAUEKAcOEgpIdAAolJnIQk7r1Xdatr++7M9/fHrGTJ6raUSObzfDz0ULQ7850Z2c7MfPYz7y9tlkWO90RUyLA7rn1OgdZrpbENGzIKPDlnfMa11pq9DZ28eqiFeMqivj1BaciHz21SnK4mYi8mHXM5hetIA4SnOCv203kkhBDj0Lg6Z2NIUUsAAadwXelL0Bzt/UFw2Bcm5o6SdgewmptGfdMbjrSydEo+6ujLznVO2aIBl22ucZ46izRsJNiZJufii0d9f8aLE5MzDhAV0l/HdY+M64yRXU86roUQQgghxBgaTuE6pZTyAxpAKTUTp5vrDaFtG9twCtcpdwhXe4J16x9mShMUHevgxsWVXHVWOU9+bDXHc+YQSDf3zioeRbVtcX7z6jHeX7rH6U4pmg2P/xPE25hWGCAccLNplAvXmdY2ANLZAnXc0L0mZxxu4bqr49pjp9GGRtkGaU/gjC9cN3YmiaUsUpbNhiOt1HckKQv58Jma4lQdx/7vGC1HyrMd1/UQnuysKB3XQoiJYVydsw3X2H1wLCaQbFRIhSfet+Pal0+Hq9PpuG4e3Y7rtliKA8ejLJ2aD0dfhkkrwBx4HpDm6gimVzHvUCPaUOSsWT2q+zOedE/O2G/GtQt03w+djGwwdq+Ma0s+nBJCCCGEEGNnOIXrfwP+CExWSv0a+Avwz2O6k1/g+AAAIABJREFUV4PRNraRfWxTGXgjHmpe+BMApc0Wy6e6+NHty5hbFiIwdRkAyaMbR3cXtObBDdVc+Z3nsbTmAr3eefT0pnsg0gi/uA71wDu4238PO440jOq2rbaTCtdK944KcQ8vKkT5nIxrr5VGKxtTu0j8HRSuDzWdOL4XDzTR0JGgNM/HJNUEUQ2Wje3Kg9pNkOyAvK7CdfoN2mMhhBiRcXXONsw3astiXAkUAlDmivTNuPbm0+6NkHH5SR8f3cL1pqPONdOKMhMadgwaEwLQVBPBKExz9kGNufAszHB4VPdnPDHVIFEhyhiy49pSXR3X8kSaEEIIIYQYO0MWrrXWzwA3A+8BHgCWa63Xju1uDbY/NrbpIdtMhj+dR/HOegDcFtTs39S97IxF52FpRd3ul0d1H379ylE+/bstzC3P5Zn3TMbXuhfmXAOVS+HqrzsX+62HOD/6Z6a1vEBHYvSKnl2F65TLiQqJK8j1nUJUSDYjO2BnsA0wbRdJT+CMz7g+0uwUrivyfKzdc5yWaIqykI9Ku45UxPkAQBs5zgRO0KPjWgrXQojxb7yds93eN2rLYlzxhcFwUWJ00BRJont0+Ya9YTp9MVAG8caWUd3suv1NuE3F2R3PARpmXDTgslprWmqjRILHmdYI4eXnjOq+jDfGUB3X/WRcq+7JGU3s7B2EZFwLIYQQQoixNGThWim1FJgK1AG1wBSl1Eyl1MDPWo4l28YyPHi9zqOmXjvMWUc0mVInP7Fp99buRZfPmsRBKkkd29TvUKfqoY3VzC8P8Zv3n0tlw1+dF2df5Xw/5//Bh1+GD71EylfENcbf2HqsfdS2bbU60SMpMxfD7czqHurRcT38qBCn4zpHWdiGxtQu4m4/pCKjtq/j0aGmGG5TcdPSSnbVdQBkC9e1pKNOa6Ct/CdWyJvkfLelcC2EGP/G2znbdL1x8dpiHDEMCBZTSBvJjE00daIoWuArIOF2PjRPNHeM2iZTGZtHNtVw+bwSvOt/DGULnaiQAdQdaCcZy9CR3I3LBt/8+aO2L+PRoB3XA2Vcd0/OaGAhGddCCCGEEGLsDScq5AfA34AfAz8BXgZ+A+xVSl0xhvvWL61tLNODP+hcUCuVR1EnFL79HQDE9u3pXtbvMakPzqGwY5fzQrwVoqc38U9jR4JNx9q4ekGZkw+45w9QPA8Kpvde0DBh/g1cYmxm+6Ga09pmT90d154iDJ9TaA35nY7raDpKwDWyqJAcLGylMWwXSbcPUmd2x/XhpiiTCwKsqSrufq00z0dZpppoxGkNtHWPFsHccjA9knEthJgoxtU52/QO5zJD/F0IFhOynA/ye+Zc53nzSLriAMRbRu8a5NndjTRHU7x/8jE4vgtWfghU/x+kaK3528MHCIQ8RFqeBsA37wwvXA86OaMLdN+C9ImoEBMrOzmjZFwLIYQQQoixNJw7ysPAEq31cq31MmAJsB24DPjGGO5b/7TGNtwEckChSXqd/MHCq95Ee46BffhYr8WN8sUU6hbatj4F3z8HfnXjaW3+z7sa0RqunBOG3U86k/3MubrfZT1nvxm/SqH2/vG0ttlTV8d1wlWE7XZuIMryfNjaJpYZQVSI2w1KESSDpcDULpJu7xmfcX24Ocr0wiBLpoTxuZ2//qUhLyXpGjoizu9O2z1CWXPLwHBLVIgQYqI4zDg6Z7s8EnItsnJKCGacKJCeOddO4dopWMc74qO2ud+uP0ZZyMfZ1Q9AoAgW3DLgsoe3NlF3oJ0Zl4aoqOvE9nnwTJs6avsyHnVPzthvxrXZb1SIYfaTcd3PckIIIYQQQoyW4RSu52qtd3T9oLXeiXNTfHDsdmsQWmOZHjw+N36/IunNwywpJh4s5Xh5Cd6a3h3V5fNWARB66FZ0vAXqtzkT9Jyip3fWc0veHqp+uRh+cyv48mDxrf0vPHkV7a4iqpqe6ZXneDqstjYMLyRVmJQJHtOgMOghnnFu9oZduFYK5fcTIIOFk3Edd53ZhWvb1hxujjKtKIjXZbJimhMvUxbyUZSsJtWZjQpJZSBYDKbXyeU0pXAthJgwxtU52+V9Y1LFxDgULMaXdCZfbOrRcR32hrsL16nI6Dzd1NCRYO2eRt4330btexqWvxfcvn6XtS2blx85SLg0QGxWLdMaNEbVdJRxZj8t0FW4tvrNuB68cK20iZVtXpeOayGEEEIIMZaGc1W+Ryn1Q6XUhdmvH+A8cuwFBq3mKaWuUkrtUUrtV0p9bpDl3qyU0kqp5UPujdbYphe3300w5CLpDeNfeS6PfGsjjRVvJVwf7VUknrbgXNK4OWyXcHPqy9iYsO3BYRx2X52JNC/tb+ZDvqdRvjy47ffwyd1QVNX/CoZBXeVVnK83c6y+4ZS2eTKrrRXTnSGeCRJTmrI8H0opommn4DzcwjWA4fXi1xYZspMzmm5In7mF64bOBIm0zbQi53d089JKlk3NJ8+jCSXqMCPOTZpOxKFoDuSWOo8Vm26JChFCTBSnfM4eC+7s5MFCECzGnWgGNM09CtQhT4hUNiokkbBG5YP+32+sZhq1vPvoF5y4rxXvG3DZg5ubaK2LsvL6Gext3c20RggtWHza+zDeGWqQjusBMq5VtthtSse1EEIIIYR4nQyncP0eYD/wceATwMHsa2ng4oFWUkqZwN3A1cB84B1KqT6BgUqpXOBjwCvD2uPsdbLX5yWnKEjSm090waVE21OkXZUE4zaJphNFYsOXi/uDa0nd8Qy5M1byon0W9rbfwyncGK3dcxy3FWVG5waYfyPMugxcnkHX8S1+M16VpvHV3494e/2xmhpweW0SaS8dtk15ntNB1FW4DriHl3ENTs613047hWvtIuFyn9Ed14ebnI6u6YVO4friQ6/y30/eCS/fg05qXNmuITuegDWfhEv+1VnR9MjkjEKIieI9nMI5eyy4Mh14w9JxLbJySlBWklzivTKuTcPE43eeeErjwY6e3nVIRyLNnhce4gnfl/AkmuGdv3VivwZwbHcLHp/JjCXF1O3diD8FwbMWnNY+TASu08i4duHp0XEthWshhBBCCDF2hixca63jWutvaa1v0lrfqLX+ptY6prW2tdaRQVY9B9ivtT6otU7hTA51Qz/L3YmTu5kYzg53XV57g35ySnLJFFRwzK4EwLJyyJg+6nes771S2QLmTp/Cxy+r4lHrXIz2I1B90jLD8NT2Ot4U2Ilhp2DuNd2vp+vqOPbhf6Tt4Uf6rDN50YVUU0LevodHvL3+ZFqaUF5FKmXQkrGoCPsBiKWdomzQNbKOa5+dJq2djuuE6YJM4oztnjnc7NwMTy10ivuRh+8juf8w8f/7DzoSRQBE8/0kou0w61JY9FZnRcMlUSFCiAnhNM7Zo64u3EZgVtHruUkxngWdSZGn+SI0R3s/xZQTCILKkHEFyBw/flqb+cZTu/hM5h6M8CT4wPMw46JBl6/d20Z5VRjDUKR37wXAO2/eae3DRNBVhLYGzLju23HdFRViYpJRzof9UrgWQgghhBBjacjCtVKqSin1oFJqp1LqYNfXMMauBHrOlFidfa3n2EuAyVrrJ4a7w0o7F82+gJ+csJdUwuLAxuPkFmQ7j4PlNO/e2u+6SyaH2R5aQwo3bPsd7H0aHv0ItNcMud0NR1r5w7Z6bi/YCf58mOxkZ0dfeolDN99C5Nlnqf/qV0k0NfZ6zNU0DTbmXcGMyAboqBvuYQ7Iam3D8jnF6qZ0mrKTOq5HEhWifD68VpqUne24NrKdcWdo1/Xhpige0+gu9icPHgUgOukjvDLZSbLZk58gFYuQyPT4HMX0SFSIEGJCOI1z9pjwuP1v1KbFeJMtXE/3xznemez1VtgbxjaTpN0BrObmU97EhiOtbHxtHZNUE741H4W8SYMuH21P0tYQo6IqTGOskcJjHdimgbdqgAi4M0j35IwDZlz3za7ujgrBxO6KCpGMayGEEEIIMYaGExXyc+CHQAbnMeNfAr8axnqqn9e6r46VUgbwHeBTQw6k1PuVUuuVUut1V+E6x08w7AXAStusvGEGAK15lcQO7BtoHC5dXMVz1mJ49R7437fApl/R9Nd7upd57XALP33hYK/Mv4xl8y+PbKcy182CyN/Qs66k45k/c/S97+Xoe9+HWVjIL24vJxON8KOPXsSNj97ItuPbutePzn0zJjad6x8Y6lCHZHXGyPid4nREaypOo3BteL14rAypro7rbN4h2e7tM82hpihTCgOYhsKOxUg1O8Xp6KbdeI9XYwMt5Tl4U5r/2/2bEyuaHum4FkJMFKd6zh4T3hGck8QZLqcEgGm+KA0dvR+yy/PmkXbFnY7rplMrXNu25osPb+Mm/xY0CmZfNeQ6tfvaAKisymdT4yam14OaPhnDM3gM3JnAVF0d1/28OUDGtZGdsNLERUYyroUQQgghxOtgOIVrv9b6L4DSWh/RWn8ZuGQY61UDk3v8PAmo7fFzLrAAWKuUOgysAh7rb4JGrfWPtdbLtdbLu+rh7oCXYJ5zY5Fb4GP2ilI8PpPjBZVwuJpYvIN1Wx7vM8nPDYsruSfzJg6Gz+dO76d4zZ5NZOtjaK3pTKT58K838pUnd/GFh7d1F69/+fIRdtV18O1zY6hEKy37c6n5+CdIHj5M8T99jJrvfIwnJx3n4CVVXLEZ8mo6uP2p2/nJ1p8AMG/BEjbZs9CbT69wbScS6FSGTLAAgLjSlOdlo0IyTrF5pBnXbitFWitM20Us20lzxnZcN0eZls23Tm75G6DwTi4ivm0bqb3raAnBkumXY2j45ZZ7u+NXMCUqRAgxYZzqOXvU5diakC//jdi0GI+yHdeTPRHqTypch71h4u44aVeQTHPTKQ2//3iE3fWd3BLcgpq0ortQPpjafW24vSbFU3LY3LCJGQ1/HxMzAmRr0AN0XPefca2y65i4sLqjQqTjWgghhBBCjJ3hzJqUyHZH71NKfQSoAYa+G4DXgCql1PTsOm8Hbu16U2vdDnSHXyql1gKf1loPHj6d7bh2BX3k5DvdxrPPKUUZisJJORyPTKbgpRoOLltFoa158buNrL7qxGzys0tziZUu45L62fjcBssmJ1lR+32ee2U9L7fkcLwzyU1LKvnNa8eo70iQyti8eqiFi6oKOafz12B6ie5pxjNrJjMefRRlmjz83Cco8BVwxb//lCOvXsuXt8zk+7eGuGvTXayZtIYFFbP5Ly7gXzruhfptULZwGL++vqw2pzMok1sOFiSUPq2oEMPnw51pxsLA1G46yd58nEGF67ZYinvXHUIDh5tjXDjbuXFOvLYWgMJ33EztN37M5F3V7KjIYX7uFACinS08sPsB3rfwfTI5oxBiIjnVc/aom+rKobJw7huxaTEeBYoARZmrk8aOJFprVLbrN8+bR7s7QsadS6bp1ArXG4+0Uk4zBR274JwvD2udmr1tlM/MwzANjuz8G6GYJrDg1K7RJhpXtnKdsU4141o6roUQQgghxNgbTsf1x4EA8DFgGXAb8K6hVtJaZ4CPAH8CdgG/1VrvUEr9h1Lq+lPdYdXVce0xySvxc+l75rHkyqkAFFbmkPZU8loVPL7KIO6B9gd/32eMt6+YjNtU/PCdy7jyZqeovemZX3PvukN8b/orfMf4Lp+6bBbr9jXRHEnx33P38tPoR1Cbfomeez3xrdsJLFuOMk2a482sPbaWa2dci6+ohML33kHy+Rf5ZMFbANjQsAGXaVA7+RoymLDlN332Z7i6CtepQCkAMUP3nZxxhBnXZjqFpZyM62hXd80ZVLh+eFMNdz27n/95dj8Zy2bZVKdbPbljC4bLJvS295LyuzE01HpmknY7XfzL8hby1KGnnEEMt3RcCyEmilM6Z4+J/GlDZgyLvyOmCwIFFKsOUpZNS48JGvO8eUTNDjKeHDINjac0/MajrVzv3+z8MOdNQy4f70zRWhelYnaYaDrK5Of3oZUi9/LLT2n7E03XQ3bWQB3X/WRcG90Z1yeiQnRGCtdCCCGEEGLsDKdwPU1rHdFaV2ut79Ba3wJMGc7gWus/aK1na61naq2/mn3tS1rrx/pZ9qIhu62BrqgQl8dAKcXcVeV4/U7jeGFlDsr28PNryznny9/jyIrJVL56mEyks9cI7z5vGuv/5XIunluCWTSDaF4Vq1KvsNBTw/UNd8OOh/loyVZ23XkVf7o+w00H/w2X2we3/IzkWZ/AjkQILF0CwBMHnyCjM9xcdTMA4be9DeXxYD70J8qCZWxq3ATAWbOm87y1EGvn49DfTcIwWM0tAKQDTvOc7TbID7gBiGacYrPfNfyJsAyfF1cmRQaNabvo1NnumvSZU7jecqyN0pCXQ1+7hr1fuZqrFpQBkDhYjbfYTa2OsHmKc9NV668g7XIK16VmmKSVnTzKlMK1EGLCOOVzthBjLlhM2HY+hO8ZFxL2hkm64qRdATINDac09MajbVzn3QyFs6B49pDLd+dbz85na/0mLthmk165CHfpG/KAwutOKYWh6DWnSzfD6LfjumtyRkObJ6JCpONaCCGEEEKMoeEUrj8/zNdeH9rZZZfH7PNWYWUOAN9edDeXTrmU4I3X4k1p9jx0X6/llFLk+d3dPwcXXscqcw+/yP85ypcHxfPg2TtxZ6Lw5KehYAb8w59h4ZuJb3UmXfQvXYrWmof2PcSi4kXMDM909quggNB119L+6GOsCi5gY8NGtNasmlHAX+ylmO1H4PiegY/PtgZ87NJqOAJAyleMbUBJ2Nf9mG00HSXgCmCo4fyRZn8PXh9GKomFcxMSyWQLtWdQx/WW6nbOnhRGKYXLdH432rZJNkTxTi3jR1t+xLbpLtpzp1EXLCSVLVx7M5DpumkzPWClBtqEEEKMJ+PrnC1ET8FicjKtANS3n1S4NmNYhofkKXRct8fSNDQ2Mi+5BeZcM6x1ava14fIYFE/N5ejTj1IQgfK33zbibU9kpqEG7rjuJ+O6q+PahQurKypEMq6FEEIIIcQYGrDKqZS6Win1P0ClUuquHl/3AX3bMF43JzquT1ZYkY3JaHZyn5dd9k5qCqDj9484ky+uXUtsw4a+Q859EwYWodYdcOV/wpVfgbYjcO/V0HIArvkmuJ0xYxs3YhYVUZ+n+dRfP8XB9oPcUnVLr+EKbrsNHY9z0RaL4/HjVEeqWVgZZp2xzFlg7x8HPrxHPgT3XNBv8diqdwrXCTOfpEt1T8wITlTISGJCAJTPi0olsbKPi0bT2T/WVGxE44xX7bE0h5qinD053Ov19O4N2ClFdNYUHjvwGJMWfpgNyz5DU8FZJF3OBxreNFhdN23ScS2EGOfG7zlbiB5ySvClmoHeHdd5njwSLufaI9Hc2e+qg9l0rJWLjM2YOgNzh44JAajd20bZjDxM0yDwx5fozHFRfOmVI972RGYo1X/H9QAZ1yqbcW1gkMa5RpKOayGEEEIIMZYGa8+tBTYAiez3rq/HgDfwyv5ExvXJPH4XoSIfzTURAAr9hew5t5LwnlqO3HY71R/8ELWf/VzfISuWQt4UmHExLHobzLwUpl8ADdvgrJtg1qXdi8Y3biI2dzI3Pnoj62rW8Y+L/5EbZt7QazjfvHkEli+n4o9bMGzNxoaNeFwG5yxayA57KnXrHwEgY9kcPB5Bd3W7tB2Dbb+Dhu3wh3/us5uZhmMAJHQuUTTl2YkZwem4Hmnh2vD6UMkkXbccsXS2OJuKjGic8WprjfMY8OKTCtfJV/8CwFMlKQJ2Drm75wEQVn5ShtNx7Un37Lh2y+SMQojxbpyes4XoIViMGWvCUNDQo+M6z5dHKlu4TiZs7OjInvzaeLSNK8wN6EARTFox5PKJaJrm2giVs8PEG+qYvr2FugvmoNzuIdc9k7gMRabfqBBXv0//GaorKsTV3fQgHddCCCGEEGIsuQZ6Q2u9BdiilLo/O9HiONHVcd23cA1OXEj17lae/tkOXG6D4FXXkXnqRyT27iG4ejXRdetI19fjLis7sZJhwPufA3cAshflXP0NePYrcOXXuhdLNzaSrq7m1RVeivxF3H/N/ZQE+s9CDL/97cQ+/WkWHc9lU+Mmbph1A1+9aSF/rruAuc3389Gf/ZmXajXN0RSfvmI2H7mkCjb+0sm/XvxO2Hw/zLgIFr2le0yruRHDZRNLuGjTCSrCvQvXI8m3BqfjGsvCxrnpiHcXrs+MqJAtx5zC9cJJediJBNW3XoN/9lR053FA81v3Hm6KfJhEZwa3z6TUski4nM9yvGl9ouPacEtUiBBiXBu/52wheggWo1KdVAb7z7gGyLgDpBsa8c6YPuxhtx5p5APmFtTsm8Ho//qwp9p9baChoiqfg7+5G1ND8KZTnjd8wjIMhdVv4drst3CtDAUKTEwy2YzrgeLthBBCCCGEGA0DFq6VUtsAnf3vPu9rrReN3W4NJlu4dvffLD5zaQlNxyLUH2insyXBwndcyGfv+An5lWVMjXVy+zqIrd9A3rUnPUoaLOr9c8k8ePuve70U3+TMVv9MXjWXT33ngEVrgOCqlQBc2FLCow1OPInHZXDFje/GvPdX+I88x4Wzr6GqYxvffTpFccDgbRt/CVVXwHV3QfMBeOITMHkF5E8DwGppwfRBtDNDVOleUSGn1HHtc9ZXdgbwkkhmi7PpMyMqZPOxdmYUBwn53MT+8iTRnXVEd9YBkAwbWKkAObunUrWylGTKpmlzAwnD6bZyp23SXV3WpgcsqQMJIcav8XvOFqKHHOe6aU5ukvqOZPfLYW+YhMv50DzjCpBpbBh24dqyNZ5jLxNUMZg7vHzr2r1tmG6Dkqm5HH3oYeomK9YsH966ZxLTUNj9Zlyb/WZcg1PsNjDJZJsedEYK10IIIYQQYuwMWLgGrn3d9mIktIHS6e6ZzU82Z2UZc1aWYVk2P/3E81Af4NzVb+NQxyFeM4/wZo8i+tqrfQvXwxDfuBHb42ZfSYbPTr6413vplHPh3hVh4ioqwjNjBvOOar437wgtiRYKfAW4Ji2DYAlfz/0rqv5BiNRzWWg+9z9+Drjr+bfa99Py2218+aq7KfzFRfDwh+A9T4BhYrV3YAS9JKNpop7eUSGxTIzSQOmIjkf5vM737M1JIpVEu4OoM6DjWmvNluo21sxyPpCIv7IWgIqPv4Xm3z3DS1MtLqu/FVMZnHvjTHb+rZ68TceJZZw/P3daY3V1EZku6bgWQox34/OcLURPQadwPcMfY217vPvlgCuA5XbOs2lXkHR9/bCH3NfYyfnWK2Q8PlwzLh56BaBmXytlM0K89pdfEG6IUvvByyjyFw294hnGVAN0XA+QcQ1O4drUJolsx7VkXAshhBBCiLE0YMa11vpI1xdOZubC7Fc8+9obRKH00HnDpmlQOi1E/YF2/vXcf+XeK+/l4ys+ye5J0PbKSyPeanzHDtoffZSGGXnkBvJZXLK4+736g+3c99kX+eknn+fR725i29pqUvEMgeXLyd9bj7I1mxo2OQsbBsy+ElW/DUIVcMVXmKUP8+/u+zhulFBddD5/2lHPlT8/xM7FX4SjL8HL34cdD2O1t2PlFYOGmNG34zrgDozomAyfU/j2ZFOuDe0i5g2eEVEh9R0JjncmuydmjG/bgTtokff//pX4//2UB5aWUlpXxeIrppCT76N8Wq6zXNT5J+FO2T0yrj1SuBZCjGvj95wtRA/BYgCm+KLU98i4VkrhCTi9FBl3gExD47CHfO1gM5eZG0lNvQA8Q18HJWNpmqojFM/IYe8vf0DCa3DN++4c4YGcGYwBO677z7gGJy7E0Cc6riXjWgghhBBCjKXBJmcEQCn1VuBV4C3AW4FXlFJvHusdG2SPUAwvtqFsZh5N1RFSCWf5VeWr2DVZoQ5Xk2ltBUDbQ19wx9av5+i734Py+7nrshQXTroQl+HcYNUfbOfxuzbjy3Gz8KJJRNtTPP+bvdz3uRfZnXMuROJUNXtY37D+xICX/hu880H4h7/AeR9FvfePUDyX4mu+wM/uWMUTH11NUY6XN70wmebJl8MzX4LfvYdMwk1m6nIAokr3ybgeaVSIyhau/aZzc2LaJp0e/xlRuO7Kt+4qXCcO1uOrDIDp5nd7fsfqI7fgz3Oz9IqpABRPCQGQ7nTWd6dsMrpH4XqAziMhhBhPxt85W4gecpzCdYWrk45EhnjqRHE0GHSuSTLBAjINDcMe8sjOV6lUzfgXXjes5ev2t4OGV5NPsWh7FNcVF+LLDQ+94hnIZSgy1iBRIf0UtQ1ToTBIIx3XQgghhBBi7A1ZuAa+CKzQWr9ba/0u4BzgX8d2twahFIYaXhGxfGYYbWsajzjVyEJ/IdGznEJlfMMGYhs2sO+884mse3HAMdKNjRx9/wdwFRfT8t1PcSA3xsVTnEdR6w9li9a5Hm78xBJWv7mKW/9tJW/5/HImzytg50EPHaGpXNpaziv1r5wYNKcYqi53uq8Bys+Gf3wFlt8BwOzSXB768HlMK8zhXQ3vID3zcuxL/pNMxMaachYAGbciz+/uHjKWjhF0jaxwbYbynN3JdrCb2kXUEzgjMq7XH27FbSrmleeSaWwk3Z7BP3sK0XSUXa/WUtw5hfNunIXb60SD+IJuOkyN7nBuxNxpja1tbG07nUfScS2EmBjG1zlbiJ6yHdclRgfQe4LGkD+XjDtJJlREepiFa8vWJKud+UfU1POHtU7NvjaUCcdevA9fGmbd9oERHMCZxVAKa6COawDdt7lDZaNCLCUd10IIIYQQYuwNp3BtaK17PrPZPMz1xohCqeF1d5ROd7po6w+0db82ecVFpFzQ+tQfqP7EJ7Da2qi/9ycDjtHys5+hk0km/+iHPJvYitf0cm75uU7R+nsnita5BSe6n0umhljzttkARCcvZmG1yb7WfTTHm4d9lAGPi2+/9Wx2R/z8s+dfSBZcBEAsO7HR2VWF3RNwpe00CStB0DPCwnVBPgAh27lxNG0Xnd4gxFpGNM76cxF6AAAgAElEQVR4s+FIC794+TCXzC3B6zKJv/JXAPyLl/LE/idZfPgycipM5qws67VeiweMjgzK48GV7QKzbCsbFTJ0PI0QQowD4+ycLUQPbj94cimgHaBXXEieN4+kJ0Y6MPyO6521HeSljzs/hCqHtU7N3hZaQjWs2W/jmjYV36K/33lLTUNh95txnf1fRj9PmylDYWCQwQLDkI5rIYQQQggxpoZzM/tHpdSflFLvUUq9B3gS+MPY7tZgFIYxvO4OX9BNQUWQugPt3a+tnLKavRWK6JNPkWpt4eW5itTLr5CqqQHgj4f/yF0b70JrTbqxkdbf/B95119PTdjmoX0PcdHki4g12AMWrbvk5HvJyfcSqVhA4Z4G0JrXGl4b0ZEumZLPRy6excObanjxWSdqZFO702V9xyUzu5erjzqTGJUFyvoOMghXvlO4zrWcCZJM20UkpxhaD49onPGkrj3OB361kcqwn2/ccjYA8VeeB6XxrbyE55/fRChZxOrr5vWZ4LPDp3DHbKxgGFfauRHL6AyYbueR2WHEygghxBtsnJ2zhThJTjG5GecD8oYeHddhb5iYu4OUJ5d0w/AmZ1y3v4ky1YLtKwB332uxk1mWzfFjnRz17mTOMU3uBRd0NwH8PTINRX9JId0d1/0UpQ1DobThPJFmmtJxLYQQQgghxtSQhWut9WeAe4BFwNnAj7XWnx3rHRuYgWH2d5Xdv7KZedQf7EDbmsNbmyhtmcHeqU48xI8v16y9fgpaw8aff5O/1f2Nzz3/OX6y7Se8UPOC022dyZD3/vfx+Rc+j9fl5Z9X/DPbnjsGMGDRukvptBBtrhJUWwczO/y8VjeywjXARy6ZxcrpBax7dgPaMNncaGErWDg9v3uZ2kgtABU5FSMa28wWrnMyTqa1qV1EggXQWQvp+Ij3dTz4pwc2E09l+Mm7lpMXcIr88W078IXT7Az6KNo7ByOcYcbZxX3WjQScfw6R8DRcyWzh2s4WrgFs6boWQoxv4++cLcRJcisIJJ0u6br23oXriNlG0ghgNTWj00Ofc1860MRMXydG3vCuf+pqmsFWzPF6Uak0wVWrTu0YzhCGov+Oa8O5Tu6v49owFAYmlm2hDANtyRwgQgghhBBi7AxYuFZKfV8pdR6A1vohrfUntdaf0Fo//PrtXl9aKUzX8Jcvn5lHKp7hTz/dwZM/2MoL9++n9pplfP3NBodWT+cHtz3IwaocMo8/zWee/SRv3pPP557ysf+Ln+nutv5521PsaN7Bl1Z9iZJACdV7Wqmckz9o0RqgZHqISNwk5c7hbbvCvFr/aq/30w2NHP3ABzj+/btJHjzY7xhu0+CHty1jVqKJ2kA+Kg2+XHevDqGaiNMtXpkzvMdkuxh+P8rvJzedLVzbLiJ+J/d6InZd17XHefVwCx+5pIqq0lwAtGWRONSAv9LPY6+8REl0CudcObNPtzVAPMf559CZOwUz5dyIdUeFgORcCyHGrfF6zhaij1AFZmctuV5Xr47rPG8eEXc7ScsNWpNpahp0mGTG4rXDLUx1t0Nu+bA2/dzWlwA4P+kDwyCwYsWpH8cZwGUYZPp7mqw747pvx7UywNAGlrak41oIIYQQQoy5wTqu9wHfUkodVkp9XSm1+PXaqcFoFC738B/rLJvhFGIPbGykeEou0fYUKwqvZMtsD19d85/keHKYefv7KWy3+fcfdnDL7+s5+5iL+ds6SPpMfr0yxT1b7+H6mddzxbQr6GiK09GUoHJO/hBbhrJsxrZ93btZ/Fw1VWsP0hA9kdvY9tvfEv3r8zTdfTcHr3kT9f/xH+h+JskpCHpYRju1oTIqfB7CBf5e79dEajCUQWmwdNi/ly5mfphg0ilcG9pFpCsnu+XQiMd6o72wz7nJvXjuiW7q5IED2Ckbs2oyna96sLwpzj5/Wr/rGz4XlgFJbz5mqkdUiJHtuJacayHE+DUuz9lC9BGqgM46ykKePhnXcXcnacvAMlyk6wePC9l4pI1E2qZQNztjDsO2vXvQaIr37MC3cAFmbu5pHcpEZxiq/7qz6uq47icqxDS6C9dKMq6FEEIIIcQYG7BwrbX+ntb6XOBCoAX4uVJql1LqS0qp2a/bHp5MKUyPOezF84r9nH3pZC67Yz7XfGghAAvjq3jqlqdYVOxMyDP3xndj54coTwUo/+pXmf/Ci/z86xdw24dT3N/xDHcsuIMvnfslAGr2tgIwaRiF6+IpIZShSJ5zFZy/nPc9bbP98V8AoLWm/bHHCJy7illr15J/2220/u8DNPzn1/oUr3Umg6o5xvmXLGNGrp9AyNPr/ZpIDWWBMtxdBdYRcOUXEEx0OP9tu+l0e503Wide4XrdviaKc73MyXZb29EoDV/9CqDZOXMek1rnUrnKj2uAvz9et4GtQLvcmEmn47pXVIgUroUQ49S4PWcLcbJQJVgpqnKS1J+UcR13dwKQdueSaWgcaATAiQnxqgzeRNOwCtd7W/eSalaYuRlS2zYTXPn3HRMCYBpg99MwcSIqpL+OayfjWjquhRBCCCHE62E4GddHtNZf11ovAW4FbgJ2jfmeDbQ/qAELj/1RSrH6LVXMWVlGTr6P/PIg1bvaKAuemMjQ8HiY/fCjzH7mGcK33IxhGHxh5Re4etrV3H/1/Xxy2Sfxmk5Bt3p3K/5cZ9LHobi9JgUVQRqPdFJ11w+pLjUJf/t/sSJR4ps2kT52jLwbbsBdWkLpF79AwbvfTeuvfkXT9+/uNU66pgadTlM4bzbJSJpAbu8CdW2klsrckcWEdDHz8/HHnMJ1wAgS1Rnw5UFL/9El45Vta9btb2L1rCKUUljt7Rx97/uIvbaBipVtbI45k1muuXTRgGP4XCY2gMvdHRXSu3AtUSFCiPFtvJ2zhegjW2Su8nf06biOZQvXKU8umSEmaDzcHGNxOLv+MKJCHt73MAXxckqCBmQyBM+VwrWpFFa/GdddkzP2l3ENSmczrk1TOq6FEEIIIcSYGrJwrZRyK6WuU0r9GngK2AvcMuZ7NvAO4faOIOT6JFPmF1C3v510qveFtrusDDMvr/vnqaGpfOPCb7CweGH3a1prqve0MmlO/rBnoS+dHqLhcCemP8iRD15NoCPJnu9+hfZHHkX7vHwwfR+7W3ajlKLkc58l9/LLabnvPnTqRJE0ecApIntmTCceSeM/ueO6s4aK4MgmZuxiFuTjjzpd5H6CdKYjkD99wkWF7KzroCWaYk1VEQCN3/o28R07qLy+kNBsk9ThcjqK6igpGbhT3ud2CtfadGMkne5qp3Cd/X3L5IxCiHFu3J2zhThZtnA9y9dBQ2eCaPYJp14d14EC0kN0XLdEk8zwdfQacyApK8UT+5+kIFFGKNaI8njwL1lymgcy8RmGGrzjut+Ma4WhDWxtOy3b0nEthBBCCCHG0GCTM16ulLoXqAbeD/wBmKm1fpvW+pHXawdPplG4vSOPxOgyZX4BVsamdl/biNdta4gRa08xaW7BsNcpnRYiFc/Q1hjjHTd/iZcW+7AeeJS2J5/glTmKHbEDfO0VJx5EKUXeTTdhR6NEX3ute4zUIadwbZdMRtu6V1RI0krSGG885Y5rV34+vs4mbDR+O5dIKgIF0ydcVMi6/U6+9epZTuE6vmULwTklhHxbOLjsmwRiYfIWDD6G12Vgqd6Fa0tbJzqPJCpECDFOjddzthB9hJzrlVm+DrSG3fVOsbor4xogU1hJpqFhwCEAmiMpprqHV7je2LgR3eFC2Qbeo9vxL1mC4Rt8gu2/By5DkbFG2nGtUCgydgZlmGir7zJCCCGEEEKMlsE6rr8AvAzM01pfp7X+tdY6+jrt1yAUHr9n6MUGUF4VxnQZHNvRMuJ1q3c7ncnDmZixS2l2gsa6A+3kenIp+9SnSJsaojH+ukBx+/zb2di4kb8c/QsAwXNXoXw+Is8+1z1G8uBBzKIikjg3Wf7cE8dfF6lz9innVKNCCnAl4iTR+Kwg0XTU6bhuOwoT6GbkhX3HmVOaS0nIh51Kkdy/D5+9F5bcxt+OlZBRaZafO3fQMbxuExuNNl2o/jqupXAthBi/xuk5W4iTBIvBcFFpONdhu+qc4nPYG+6OCsnklQw5OWNzNEWl6VyXDRUVsr1pO/lxJyLOe2AjwXPPPZ0jOGMYSmH113HdPTlj327qroxr6bgWQgghhBCvh8EmZ7xYa/0TrfXIK7xjzBvwnvK6bo9JRVUeh7YeZ8uzx9j0zFES0aELki21UXa9VEdugY9Q0fC7dArKguQUeDmw8TgA1yx/J2tvmMqOKfCOW7/KJ5d9klnhWXxr/bfY27qXXx38Lc1nVdDyl6c5HjvOvdvvZfuGP5GeXEKsw4kPCeadKFzXRGqA0ylcO0X4NDaeTIDOdKfTcW1noP2Ys1Ci/ZTGfr3EUxavHW7tjglJHTgAlo2vIhfriv+iZXuG6sJdLJk0cL41OB3XGQ3a6BEVonsWriXjWggxPo3nc7YQvRgG5FaQm2ok1+fqLlx7TA9Bvx/tzpDOLSJdWzvgELataY2mKKUZXD7wD95QsKNpB9OtOQAEYg0EV68eveOZwExDYfebcd1VuO6n49pUGLZBRmc7riXjWgghhBBCjKEhM67HI18gcFrrTz+7mI6mBOt+u4+Xfr+fP/xgK1ba6Rg5sKmRjX86gs52oGRSFs/8fAcP3PkKbQ0xVlw7fdj51uB0plQtL+XYrhbinSmUUrzrC/dTcd/PuHLm1bgMF59Z/hmqI9Xc8tgtfHP9N/ldyWFU/XHec/fFfGf9t8mvj7LJ30isIwn07rg+/cJ1GACLDJ6Mz4kKyZ/uvNl6CI6+Al+fDodeOKXxXw/f/fNeUhmby+aXApDYvQcA78KlVB9IYSTdMLsDtzl4xIzPbWKh0aaJSjpFaqfjWqJChBBCiFETqkB11DKvLNRduAYoDZaS9iZI+/LJ1Nf3mu+jp45EmoytKbRbnG7rIa7LtjdvpzIzE7+K4w0F8M2fN6qHM1GZxgAd14NkXBuGApR0XAshhBBCiNfFqc9y+AbyB/2ntf6CCyqZuqAQt8+kelcrT/9sB3/55S6CeR42/9npMo62Jznv5ln88SfbObK9maVXTGHJ5VPx5Yw8X3v2OaVsevooBzY2suDCSRT5iyjyF3W/f17leXz+nM/jMlysrlyN6+JOmp+6kQ9HzmHO4mtJJ77I1kAL/mO7AXplXNdEanAZLor9xaf0u3AVOHnd2k7jSnuJpCNQMMN5s+UQHHzOuXHZ/nuYvuaUtjGW/ryzgXueP8htq6awakYhAMltG1GmjWfhKnZvPUZGpZi/aMqQY3ldBlHAViYqlUZpE8u2ZHJGIYQQYjSFKqBuC/Om5vLghmpsW2MYipJACXF3JymKQWvStbV4pk3rs3pz1Clo52WOD5lv3RRvoj5aTyhSRKDjCMHzzkMZE7JvY9QZaqCO64EzrrsmZ7RsC2W6pONaCCGEEEKMqQlZuPbknF7hWhmKUJEzRtWKUtqb4rzyqDMB4sKLJqEUbH22mqM7WmhriHHRO+dw1ppT62gGKKzMIb8swN7XGlhw4aR+l7l13q0nfsiB6MKFVD2zh/SDr+KeNpUjy204uIHprmV4/Cf+2GojtZQHyzG7umNGqCsqBDuFmc52XOeWg+mFQ3+F3U86NzB7/gBv+rbziO84Ud0a41O/28KCyhD/8qb53a8ntm3Gm5dBTVrKwacaqA8d4sopFw85ns9tYuMUrgE86WzHtZH9sEKiQoQQQojTF6qAPU8xryyXaMriWGuMqYVBygJldLraSKSda65UdU2/heuWbOE6mGyEilWDbmpH0w6UVuhWN4G2owRvOX/UD2eichmKTH+F6+6M6wE6rm0DS1so6bgWQgghhBBjbPxUIUfAHRzdmeCXXTWVc2+ayeXvm88Fb5/N6rdWMf/8ctoaYpx386zTKloDKKWYfU4pdfvb6WxJDGud3EsvxWppIfeSS5j+4IPcfsHHSHSmMfx2r6iSmkjNKceEAJjZjmsjE8dMu0nZKVI6A/nTYOejgIKLvwiRBqjdeMrbGQv3vXiYeMri7luX4nM7N1laa5IHj+ILZ2j1zcBuckNFjDn5c4Ycz+c2sNDY2X8WnszJkzNOnMkqhRBCiHErVAmZOAsKnaJpV1xIaaCUdqOZhJOMRrr6WL+rN0dSgMYbbxx6Ysbm7YRSRWhLEYzWETxfCtddDENhDdpx3bdwrUyF0gpLW2CYaEs6roUQQgghxNiZoIXrU5+csT9KKZZeOZXZK8q6f77onXO57c5VLLli6IiJ4Zi13Mlf3re+YVjLF7z3Dqbcdx+Vd30PMyeHq6ddTaEuo0k1OMXUrNMuXIdCoBReOwFJp/jbmcpO0Agw7zpYfodzE7P7iVPezlh4YV8T50wvYGphsPu1TEMDVjSJd1KYB1/+KwBXnb9mWLnkXpeJrcDKdhp5012TM3ZlXEvHtRBCCHHasvEeVb4ODAU76zoBKAmUEHN3kozb2B4v6erqfldvjibJpxPDSg4ZFbKjaQdzjAUA5BV5cZeWjOKBTGymUtj9Zlxnbw/6ybhWyilcn8i4lsK1EEIIIYQYOxOzcO0d+4QTZSjyik9vEsiewiUBSqeH2PViHbq/7paTGB4PwVUruwuupmFSaU6hzWzi8QOPAxBLx2hJtJxW4VqZJmY4zNywwq1NDNvgv/60mc5ANtJk5QfBnw9Tz3diQ8aJ+vYEexo6WVNV1Ov1xG4nB9yePYsdWw9hudKsXrJ8WGP63IYTFaKd37k3fXLHtRSuhRBCiNMWcq5bvLF6phcFT3RcB0uJu50iNpNmkaqu6Xf1lkiKMtXq/DBIx7XWmh3NO6jSswEoXDJ7lA7gzGAO2XHd90kzw1SgFRk7gzJMybgWQgghhBBjakIWrl2eU8tzfqOdfclk2hpiHN7WNOJ1U4kM6WYDV77Fj7b8iJSVoi5aB3BahWtwcq5DdgwAj+Xn4S0HuOXV2TxR+iH05JXOQnOvhaa90LTvtLY1Wl7YdxyAC2b3npQyuWUDAA9NC1DUOoXiGTmY5vD+mntdJhaciApJ4zwK2z05o0SFCCGEEKetq0u6o4Z55aFeUSGxbOHaLp9O+tgAUSHRFNO97dmxBr4GqovWOR/wN4dRtkXBuYtH7xjOAIah6LeXYoiM694d15JxLYQQQgghxs4ELVxPyN1m5tJicgq8bP6zcyOmbU39wXYaj3QQaU2i+3tcM6t6dyt2RnPR+cupjdZy59/u5LPPfxaA6XnTT2u/zIJ8zGgbAJ6Mn7tuncvipav4yJE1bKt1biaZc7Xz/cXvQuaN7zx+YV8TRTle5pbl9no9sXU9rmCGhyPHyY+XMXfB5GGP6XMbTlRIV8d1V8a1IVEhQgghxKjJKQVlQEct88pDVLfG6UiknY5rj3PdkSmZNEhUSIrp2eUIDdxxvb1pOwC+zgDeZAv+WTNH9zgmOGdyxn4Kz4N0XCtDobomZ5SOayGEEEIIMcbGPnNjDLjcE7Pj2jANzr5kMi8+uJ+aPa1sXVvNwU3Hu9+vnBPmktvnESry91n3yLYmPH4Xl648j2Wdy3hk/yNMC03ja2u+xrzCeae1X678fIz6FvCC1/Lj9ab54jXzeXhTDY9vqWXRpDCEJ8M574dXfwz12+CmH0PJ3NPa7qmybc26/U1cNLv4RHZ1pBHbFSK+ax+dRTb+JievfNLc/GGP63WZ2GhssoXrlD4pKiQ9qschhBBC/F0yXZBT5nRcz3U+gN5b38myqflon3OutfJKsdrbsTo7MXN7f0jdEk2y2tUGKeUUwQewr20fhjLIRN34kw24ywefyPHvjaEU/dWtMbLX2brvm4ahoKvPwjSl41oIIYQQQoypCdm6PFE7rgHmr67A43fx6Pc2c2jzcVbdOIOrP7iQVTfOoPFIJ7+581X2vdZ7Akdtaw5vb2bK/AJcLpNvXPANfnjZD3nkhke4dsa1p71PZjgfo92JL/Fk/ERSEfICbi6cXcwTW+uwu54jvea/4W33Q3sN/OomyCRPe9unYkdtBy3RFGtmZ/OtG3ai/3sOtW9eRaYlytNL/cyMLcIbcFE4KWfY4/bJuO7quDbdzgJSuBZCCCFGR6gCOmqYWeycpw82RVFKkZvnzC+SDhY43/vpum6OpCg32yFYfOIc3Y+GaAOFvkJiSZOAkUC5B17275GT9NFfxnVXVEg/HdfZjGtnOSUd10IIIYQQYkxNyArwRM24BvD4XCy+bDIen8mbPnI2y66axozFxSy7ahpv/9dzKKwM8uyvdhHvPBFLcfxYJ7H2FFMXFgJQEihhdeVqTGN0fg9mQQFGayPgdFxH0hEArju7grr2BBuOtp5YeN51cMtPobMWtjwwKtsfqeez+dbnz3IK13rf0zRsyKVzfxLP8k5+PVcxrXM+FVVhpzNomHxuE0vR3X3kTUNG9yhc21K4FkIIIUZFqAI6aqkM+3EZikNNUQCKQgVYZpqkOwRAqr/CdTRFgYpAsKjPez01xhop9ZaT0D5yRm++7TOGaSis/mLqhsi4xnaurbRhQEYK10IIIYQQYuxMuMK1UoyoGDkeLb9mGnf892qmnlXY6/VQoZ9L3jWPTNruzsEGOLytGRR9lh8tZn4YV8opVnsyfjpTzsRIl80rxec2eHxLbe8VZlwEFUtg3XfBev0mLEykLX627hA/eeEgZ1WEKMn1ARB/4Y+07g9S8O538dht1xFOFkGnZ0QxIQBel9Nx3XUP50mDZfeYnFEyroUQQojREZ4CbUdx6TRTCgMcOu4UrksCJSQ8UVJ4AUgf61241lrTGk0R0p3gH/w83xBroIIpAOQUesfgICY2Jyqkv47rITKuuzquTQPdb9aIEEIIIYQQo2MCFq4ndtEanGMwzf5/9fllQaqWl7JtbTWJiNPhe2RbE6XTQvhzPWOyP66CAlyZOABBO0Q07dw8Br0uLplbwh+21ZHpmWGoFKz5FLQegp2PjMk+nSyVsbnuf9Zx5xM7OasixHfetth5I5Oi87U9YCry//HDPNq+i4sMJz6lcs7ICtc+t+lEhfTsuLYzYEhUiBBCCDGqpl8ImQQceZEZRcHujuvSYCkRs41YQmPk5vaJCumIZ8jYmpxhFK4bY42UR4sByCsPj81xTGDO5IyDRIXo/juudXfHtQJLOq6FEEIIIcTYmXiF6wm3xyO37OqppFMWrzx+kJd+v5/GI51MWzg23dYAZn4+ppVEKcixconE2rvfu25RBU2RFA9tqum90pw3QdEceOFb0HxgzPaty6ajrexrjPCVGxfw639YxexSZ6ImXb2ezqMugotmszNxiOZEM7Pii/DnuikoD45oGyd3XHszYGkrewOnpHAthBBCjJZpq8Hlg33PML0oyOHmKLatKQ2UEvW009kWxz1pEqma3oXrpqgzv4Y/0z5o4TqRSdCR6qCwycnQDs8oGbtjmaAMY6iO6wGiQnT3D9JxLYQQQgghxtSEKwOfCR3XQymsyGHmkhK2/7WGzX8+StWKUhZeNGnMtmfmF6AAt8pwwQY4/zvPobPV28vnl3LO9AK+9Oh2dtSeKGhjGHDxF6BxJ/zPUvj+CqjdNGb7+Py+45iG4vrFFb1eT730OOmIi9yrr2ftsbW4cGFV+6ickz/ivytet4mtNNiAYeBJa9J22ukwN90SFSKEEEKMFk8Apq2BfU8zvSiHZMamriNB6f9n777D2yrv94+/n3M0LO8RZ9shewIhCdCyStmlZXSXltLdfrtpfx20fEsntMC3u5QOdillzwJlj1BWBtl72872tiVrnef3h4ZH5ACJFZNwv66LK5F0JD0K8RWdj27dT+Ewwv42wq0xAqNH7VEV0tSZ+rc4EN/74HpnOLV3R6g5iPGSlE2syd9rOUi5pr+O6/TpQY7BtXHo7rh2HSWuRURERCSvDrrBNYf+3BqA4z80gaPfexif+Nk7OONz0wkW+vP2XL6K1Ndnnc5mrFvIqJW72fTQ7anbXIdrPj6LspCf/7l1AS3hHsPb6efDxUvhPVdDtB3u/2reOq/nrt3NrNpySgt6/zm0P/scAMVnvo9n657luOKTibTGGf0ma0IglbhOAngWU1BAMNNxDame6xxdjyIiIrKPJp4OjeuYGkhturxxVydDi4YSDrSSiFickbXEGxp6pXobO2IEieEmo3sdXO8I7wDAtPsIRpspGKPBdV+uY0i+yY5rx+1OXFtjsDmG2yIiIiIiA+WgG1y/2fqHg1VJZQHHnDOOsurCvD+Xr7qaghkzKCgNkTzmGBqqXbb86nL+s/bf3LDsBn6/+Odc+ZFxbG/t4oPXvsiKrW3ddy6vhWO/CGdfDTuXw6t/HfD1NXXGWNrQyokTq3vfEAvTvnwnBbUVbA9FWd+6nlmJE4E3328NqcG1NYAFEwoRTEDCpk/aHJ8S1yIiIgNpwmkAjG99EYCNuzvSVSGp9xnJEWOx0Sjxuu4Nqxs7o1SQ2kSawsp+HzqTuI6HA4SSbTiF+X8/dbDpf3Ddf8e1cUzqm2kAjoGEBtciIiIikj8H3eBaBp4JBBh7910Uj68haEsY88PLGNqU5Onff5/fLvgtD6x/gPWRZ7j5M8fQ3pXg/Gv+yw/uXcKPH1jGH55aSzSRhCnvg4lnwDNXQNvWAV3fC+t2Yy2cNKn34Dq+6D90NfopedfxPFv/LACVjaMprghSVh16089jjEmdkAGmoJCCuEltzgipxLUG1yIiIgOnajxUTaCk7hkKAy4bdndSWVBJV7ADAG/MZADCC7uryJo6YpSb1EaOb6QqpCtRQFFQ35jKxXX6qQrZS+LaOAZsKnVtHaOOaxERERHJKw2uJSsY8hGNJJhw1ocJvuMYPvVKAU+fdh8zqmbw+ObHOW7CEB795omcMmUo/168jfsXbeU3T6zh5/9ekeqBfs+VqQ0M/34KPPh12PTCgKzr+TW7KC/0c/iosu4rEzHab1R0Y2wAACAASURBVLoagJLzL+TZumeZUDaBpg3Rfeq3zkoPriksJJgwvatC8lSDIiIi8rY18QzMpheYXOmycXcnjnEoKE0lfmMl1TilpUQWLsge3tgZY0QwkrrwOoPrIqeYqCmkuMTN60s4WDnGYC3ZfU2yTPrPK8dQ2sl8wI+DddRxLSIiIiL5pcG1ZAUKfcTCcYwxjPrRZbhdcWK/+QtnHHYGKxpXUN9eT1VxkL98cjZLf3omi398Bl86aRy3vryFO+fXQeU4uOA2GD0Hlj8At5wHzZv3a03WWuau3cXxE4bgOt3D6MTdF7P7hUYKpx1GZPwYFuxYwLuLz6KrY9/6rTMy+xFRUERBwqQ2ZwRwVRUiIiIy4Ka8F5JRLvI9zsbdqSR1aUWq1iPcGid01MxeievGzhg12cH13qtCxiXHgTGUDnnz38J6O8i8r9qjLiRTFdJfxzVgrFHiWkRERETyToNrycokrgGC48dT9T9fou3hh3l3XSkAT2x+Yo/7fPfMyRw/oYr/vX8Zi+paUn2VH70Vvvpyagr8wm9TB3pJePoXsPmlN7WmxfWt7GiLctLEId1XLriJXf/4N8mEj2G//D0PrH+ApE0yJTIb2Ld+66xMkigYSm3OaHtuzhjf98cVERGRPY05Hqa8j/c13YzbvJFYwmNYxRCSJkFna5TCWbOJrV9PorkZgKbOKMMDXan7vk7iekLrcADKRvc/4H47yw6u+yau99Zxnf5Gm2NdrGuUuBYRERGRvNLgWrKChT4SMY9kIpWeGfKFLxCcOIH4Vdcws2gyj296fI/7+FyHP14wi2GlQT570zzW70r1UlI6Eo66EBb9E1ob4NlfwvNXw78+Ck0b3tB6FtW18Nmb5lFZFODUqcNSV0bbifzrp7SsL6LiE5/AN3Ect668ldnDZhOvC1BaHaKksmCf/wyMk/qRsKHC1OaMmbSR40/VoIiIiMjAMSa1wbPj52fuddQ1dVJbWktnoJX25giFs2cBEHltEQCNHTGG+cOp+77O4HpYa+r2iokj8vsaDlL9J67777jOJK4d6yhxLSIiIiJ5p8G1ZAVCfgBi6dS1CQQY/tOfkti2jQvWVLOscRlbO/bceLGyKMAtnz0WA1x0/atsb00noU74FlgP7v5samg95X2AgdsvhFhnv+tIepZ7FtRzwd9epjQAD59jGVKYPomafwO7FoBbUUb1N77BE5ufYHvndi6achFb17bsV00IdNc6mmABgV6Jaw2uRURE8qJ0JNuOuYQT3OWEF95JbWkt4UArTU3tFMyYAX5/tue6sTPGEKcTfAUQKMz5cJ712BnZSXF7EViPssljDuSrOWi4pp/BdbbjOkfiOvPNNOtgjYGE9v8QERERkfzR4FqygunhcDTcfRJSOGsWoVmzGPfUaoy1XLv4WiKJyB73HTukiJs+cwwt4Rin/PpZfnjfUu5e7/BK6RlQ9zLRqqnwwevgg9fDzhVw49nwzBVQ9yqQOmlat7OdO+fX8Z7fP8//u2sxk4eX8O85ixlx/4fh8f+FeBfe838ivDNE2bnn4RQXc/PymxlTOoZpzCIWSez/4Dp9QmZ9AXxej8S161fHtYiISJ6UHv8FdttSApufo7aklk5/Kx0tXTgFBYSmTye88DWstTR3xqgwnXtNWzd3NZPwEvi7CvAnwvir9u+9waEqs9HiHqHpbOJ6z8F1z80ZPSWuRURERCTPNLiWrGAoPbiO9E7PVF74CWzDNr7ZdSL3r7uf8+8/nxcaXtjj/oePLuO+rx7Pew8fwT0L6vnOXYu5rOV9PMpx/E/sYqImABNPg3P/mDoZev5quP506hc9ybFXPMVpv3me7929hETS8scLjuLezx1J8YJrIVgKL/8Z/vkhIltasElL4bHH8sr2V1jeuJxPTv0kW1e3AjByUvl+/Rk42cG1H1+SHpszBpS4FhERyZPyogLWmTEUtaxOJ67biLWnhqKh2bPoWrqU1pZOEp6llPbXrQkBMLEAAduV7WWW3tKtHzk6rtOnB7k6rp3eVSHquBYRERGRfNLgWrIC6cR1LNx7cF1y+un4qqs5fUGSG0/5O+c+3cl/f/RlNrTs2VU9aVgJV3/4SF754ak8/I0TeOSyjxP82E08s6uEq/6zOnXQrE/Cl1+A723Elo/Be+hiTDLK/31gKguOfZ4nT1rPOUeMwFl4I4R3w8fvhKnnwKa5hLvGguOweGScbz79TUYWjeTcCefSsLqZihFFFJUF9+vPwKTP4qzrx01C0utRFaLNGUXkEGWMOcsYs9oYs84Yc0mO279tjFlhjFlijHnKGKPuBRlwO0MTGBrZQJm/mGRhFGIO8WiSwlmzsPE4uxameq6LvXYI9b/hYmZwnUwECLqqsuhPvx3XkEpd76XjOlUVghLXIiIiIpJXvsFegLx19Je4Nn4/5R/7KLv/+Ccqv7GbU1Y2AvCH2y/m/754Lz5nz79G5YUBygsDAJwyZRifeucYrn9hIzvbo5QW+Bg7pIhzjxzJc8Mu5sMt3+L2Kc8zfs0NsO5JWAzsXA4rH4JxJ8OYd8LImfDUz+hcsYqu8R187dXvM7FiIteceg0Bgmxd38rUd+7/5kuZEzLr8+MmbZ/NGVv3+/FFRN5qjDEucA1wOlAPzDPGPGitXdHjsNeAOdbasDHmy8BVwEcP/GrlUBaumEIgch80baCoNPVBdGdrlJLZs8F1Cc+dCxxBKNEKoeH9Ps6O8A4AEl6AopASwf1x08nqnINr4+YeXPdIXHuuEtciIiIikl9KXEtWd8f1nsniio98BPx+4nV1jLjiCrziEDMfWcf1S69/Q4/9g7Oncsa0YSyqa+Y/y7bzi4dX8o5fPsX3lgxjSdm7Gb/qL7D+aXjfb+G4r8P866FzJ7zr+6kH8Ifw3nUZkRXreGbILmYOnclNZ93E0MKhNKxuJhFNMnrK/ndYOumTOOsGcD3bY3PGACSV2hKRQ9IxwDpr7QZrbQy4HTiv5wHW2mesteH0xZeB0Qd4jfI2YIZPB6CrYSnllcUAhFujuOXlFB59NLzwHACBeOvrVoUYCzEnREGhm/+FH6Tc9FnAHlUhkE5c760qxFXHtYiIiIjknRLXkhXokbj2PEukPZat3vBVV3PYP2/FV12Nf8QI4g0NHHvNNXz/iWtwHZfPTP8MrtP/yWGB3+VvF83JXl6/q4P7FjawqbGTCWf8ER7+Chz9BZh2buqA6qnQvAnGHJe9T3jhQkgkeK3G49JjLqHIXwTAsucbCJX4GTO9ar//DBxf76qQ7s0ZfdqcUUQOVaOAuh6X64Fj93L854BHc91gjPki8EWA2tragVqfvE2U1R5OcoGhbfMihg4ZgwVamjoZSQUlp55K+PLLGTVlJ76iVijce1VIrVdF3FdIYakGq/1xTGZzxlyDa3fvmzOmq0KUuBYRERGRfNLgWrL8QRfjGGLhBM/euoqVL25jSE0xE2YP5agzxhA64ojssZUXfZLGm27ifxaU8MPK3/Fc3XNcfsLl1Ja+sUHF+OpivnPm5O4rPvVQ7wOO+sQe92l96b8kDQw59kSmVE4BoKO5i01LdnPUGbW4/v3/AkG2KsT1papCbGZwHdDgWkQOVbl2rssxyQJjzIXAHOBduW631v4N+BvAnDlzcj6GSH/GDKtkox1B8bZljD7xWOqArTt3MY3RlJx6Cjsuv5yTti3GDIm+buJ6YmQYGIdQZdGBewEHmb13XLt73ZzR4OA5BqzFeh7G0Zc4RURERGTg6V2mZBljCIZ8rJ2/g5UvbmPczGp8foeX79/A2nk7eh3rlpVR+ckLGfvadm672uNLP13ITd8/h7uW3YbN9ZXTfRRdv55NH/8EO375K7b/50HWj4BPH/Pl7O3LX9iKBaadMGpAni+TJLJOenCdTNemuIGcXY8iIoeAeqCmx+XRwNa+BxljTgMuBc611kYP0NrkbeSwqiJW2VpCzas4bEgNcSfGrt3NAPhHjqRp1DhO2L48dfBeBtdNXU2M7EwlsgurS/O+7oNVdnCd633bG+m4znzkpdS1iIiIiOSJBtfSS6DQR9vuLoaPK+PML0znA9+ZTajEz5bljXscW/21rzHy6qup/spXGDZ9Dh9+JkbVF37OH39yDhvmP4MdgBOZxutvILJ0KU233UZhfSNNh9dwZPWRACSTHite2ErttErKqkP7/VwArq97c0YAL5HZnFFVISJyyJoHTDTGjDXGBICPAQ/2PMAYcxTwV1JD652DsEZ5GwgFXBoC4yjramBMqIqwv5XWps7s7WsnzWZcYz3xiAOh/qtCmqPNVHQUAlA8Yv/3vzhU7T1x3U/Htds9uLbpswj1XIuIiIhIvqgqRHopKPLT1RHn9M9Ow0nv2lMztZK6lU1Yz2a/IgpgfD7KznkfANVA+9zn6frJDzn9jvVE7/gK80dVMO3BRygqKt+ntSSam2l7+GGKzz+HHxy5Ct/KjVzymauyt29asptwa4wZHx+YtDWAm37N1qT7umM9EtfJPTetFBE52FlrE8aYrwGPAS5wg7V2uTHmZ8B8a+2DwNVAMXCXSfXibrHWnjtoi5ZDVnvZZGiCspYGogWddLUFsrctqj2CY7mLjoYCKvaSuG6NtlIULiAKFI+uPgCrPji55nWqQl6n49rLvCdU4lpERERE8kSJa+nlxI9O5LyLZ1I6pDvBXDutkkh7nN31HXu9b8mJJzHzyblUPvAv5n1kBsUNzfzusrN5esvTJKNRtl56KZ0vvviG19J6733YaJRrJ2xmWXg9n//sH5gyeiYA1lpee3wLJVUFjJmx/5syZri+9ODaTX2mYzOJa9evwbWIHLKstY9YaydZa8dbay9PX3dZemiNtfY0a+0wa+3M9H8aWkte2GHTUr/ZsQynyCPZ0f2B+aqCarpKiuncEey3KiSSiBBJRAiEU5tLF6rjul/OPnVcp2/uURWixLWIiIiI5IsG19LL8LFlDB3Tuw+yZlpqMLw5R11IX8YYhk2eyUU/u4vEzKmc9nwb3338G1z79ZNovedeGn720zd0gmM9j+bbb2fXpGoeYjE/fuePOWHUCdnbG9a0sGNjG7POqM0mwweCm/4KrJdOXNtEJnHtB0+DaxERkXyqGDGedhuiq2EpwVIXX1dBdu+MpnCceHUZsTYfFOauCmmNtgJgulIfQBcU6cuF/ckkrr196LhOJa7TVypxLSIiIiJ5osG1vK7C0gBDaoqpW9H0pu43/v/9gNL2JNe+OoNT5rZRN8SQ3LSF9qee6vc+ieZmOl9+mcbrrideV8etUxv5/OGf5/0T39/ruIX/2USoNMCU40bs02vqj+NLD6yd9IluPNNx7VfHtYiISJ6NG1rMKltDfOsySitC+JIBGptasdbS1BnDGRIi2u7D+opz3r8l2pL6TdSP30YH9MPtQ82+dFw76Q/4DQ7JTOJag2sRERERyRPFUOQNqZ1WxaInthCLJAiE3thfm8Kjj6bouHfC8y/hr6mh48pPsv0rVxD541UcddpptMXaeHTjoyzZtYTVzasZ2Rngs79eQUFHakC8uxQKT303Xz/q670ed+fmNupWNvPO94/H53cH9HX6MpszZgbX2aqQAFgvdRLnDOxzioiISMrYIcX816vhyMZXmf7Ow1j2Upgnn3+F95x5CgnPEqwOgmeIbdtFcHzpHvdv7moGIJH0E/RpoLo3ex9c505cpzvue1WFKHEtIiIiIvmiGIq8IbXTKvE8S/3q5jd1v+pvfZvA2LGMvOpK3n/UhSw5fSyhNfU8/bfL+Ps3T6X10p+xcfFcRvireP8Na7HxOH/4eAk/+XIZt116LJe/+0oc0/uv6aInthAI+Zhx0sBtypixx+aM8R4d16CeaxERkTwaXRFiDWMIJNo5oXY4HaEmNi9qorEzCkBxVWpaGl27Luf9W6OtuElL3BZQEDxgyz4ovW7i2u5Z7WbczODazVaFqONaRERERPJFiWt5Q4aPLyNQ4LJ23g7Gzax+w/cLHT6D8Y8+kr18/td/z7ZHzmXkb+9muAFTEOSkNS0UTGulq66T0df8iWtPPbXfx/M8y+blTYyfVf2Gk99vht+fTlxnO677Dq5j4C8Y8OcVERER8LsOzSWTIALu7tUUTIzjLB3Chu3bASiuSNAFRNetA87c4/7N0WYqOiAeKKGkSN+Q2hsnnZ5O5uy4dl6n49qQNOn7KXEtIiIiInmixLW8Ia7PYcbJo1m3cCeNDR37/Dhjhk4kcelXqfvUqYx98nEmPfkUpWeeRdfiJVR96UuU7GVoDbC7rp1YJMHoKRX7vIa98bmZjuvUj4ZJpE/G3EDq1xwncSIiIjJwvOopqd/sWMYxx03FsS7z5s8HoNC04y/3EV2fO3HdEm2hoh1i/mJCZfqgeW8yieucgel+Oq5NdnDt4qV/r8S1iIiIiOSLBtfyhh11ei2BoMur/964X49zwge+xhk/+BOFo2rwVVUx6v+uZsIzT1N98Tdf9771q1JVJaMm5WlwnU5ce+kfjWziOtN5rQ0aRURE8qp6yFAabDV2x3KOPfwIuoLthDeEAQjE2ggOLSK2rp/BdVcLo8Ih4v4iCqtyb+AoKZl9K3MmrvvpuM4krh0cPCWuRURERCTPNLiWN6ygyM+Rp9aw4bVd7NrSPqCP7R8xIrvhz940rGmmYkQRRWX5Ka70+1KJ60T6R8Ppm7jW4FpERCSvaioLWeHV4G1bhuM6FExMMGT3SAJuG77IToKjKolu2oyN77nvREu0hZGRcjAOhdV7bt4o3dz0t8uSuRLTjg/sngNpx+3enDGZ6bjW4FpERERE8iSvg2tjzFnGmNXGmHXGmEty3P5tY8wKY8wSY8xTxpgx+VyP7L8jT6slWOjjqZtXsvrlbcQiB646I5nw2LquldGTyvP2HK4v0/eYHqJnB9fanFFERORAqKkIsdrW4DStg0SUY46bgs8GOMK/ExNpJjD2MIjHiW3Zssd9W6ItDAmnBtZFQ8sO7MIPMm6m4zpX04dxc1eFmExViIOHEtciIiIikl95G1wbY1zgGuA9wDTgAmPMtD6HvQbMsdYeAdwNXJWv9cjACIZ8nPyJKUTDcZ68aSU3XfJf1r+284A8985NbSSiSUblqd8aUolrD0vSZhLX6bM5Da5FREQOiNqqQlZ5tRibhF2rmXXkVDr9bUwOp6o/glOnAxBdu2ddSEu0hZJIEQCh0sCBW/RByMlUhXj9VYW8XuI6dT91XIuIiIhIvuQzcX0MsM5au8FaGwNuB87reYC19hlrbTh98WVgdB7XIwNkwuyhXHT5cXzgu7OpHFnEf/66jHkPb8Tm6kgcQA1rmsHAqIn5G1wHXEMSSJJOFCWTqdeV3ZxRg2sREZF8qqkoZKWtTV3YsRzXddhStYlh7TV0ecUEZxwDxuTcoLGlq4VQVwiAULEG13uT3ZzxTXRcd2/O6JDMNLwpcS0iIiIieZLPwfUooK7H5fr0df35HPBoHtcjA8g4hhHjyzj/20cx+djhvPrQRpbP3ZrX56xf3cyQ0cUUFPvz9hw+18GjuyrEl4SETYCTSVyr41pERCSfioI+OgpriZsA7FwOwMbSDlzrY3nX8TgjJuMfNYpojg0aW6It+DpT/2aHSvL3fuFQ0F0VkmtwvfeOaxcfyfTmjDZn14iIiIiIyP7L5+A61057OSO5xpgLgTnA1f3c/kVjzHxjzPxdu3YN4BJlf/n8Lqd+eirDxpay6IkteLlOfgZALJJg+/o2Rk3OX9oawOcYPANJr8fg2kv0qAo5cJ3eIiIib1cjKkuo99XCjtTgenuyjKbQdpbFT4WCUoITJhDrM7iOJWPEI52YeCppnc8Pug8FmcR1zsG16SdxbTKDazc7uM5VKSIiIiIiMhDyObiuB2p6XB4N7BHJNcacBlwKnGutjeZ6IGvt36y1c6y1c6qrq/OyWNl3xhiOPLWG1l0RNi3ZnZfnWPnSNpIJj0lHD8vL42f4M4nr9Ocurtd3cK3EtYiISL7VVhayyquBHcux1tLaOoK1Q+bTEZlI2+4IwalTiG7YiBcOZ+/TEm1haCvE/cUE/BbXzese5Ae9vQ6uHRdydFdnEtc+/HjpP14lrkVEREQkX/L5jn4eMNEYM9YYEwA+BjzY8wBjzFHAX0kNrQ/MDn+SF+OPqqa4Msjip+pe/+A3yXqWpc/WM3xcKUPHlA744/fkcw1JbK/EddJLdndca3AtIiKSd7WVhSyMjoKOHbTvqieRCBGumA/Amld3EDrySEgmiSxdlr1Pc1czw5stsUAJBUW+wVr6QcPJVIW8iY5rJz3sdnBIkB5Y69toIiIiIpIneRtcW2sTwNeAx4CVwJ3W2uXGmJ8ZY85NH3Y1UAzcZYxZZIx5sJ+Hk7c4x3U48pQatq5tYefmtgF97C0rmmjdGeHwd+d/706f46SrQlKXXS/dcZ1JXOc4iRMREZGBVVtZyPzkRADa176AjwQTvXp2lq5n5X+3UnD4EQBEFi/O3qc12srwZoj5iyksKxiUdR9MspszvomO68zmjK71kf6MX4lrEREREcmbvH6H0lr7iLV2krV2vLX28vR1l1lrH0z//jRr7TBr7cz0f+fu/RHlrWzq8SPxF7i8cOdaopGBG/AueaaewtIA448aOmCP2Z+Az+ABnu3Tca3NGUVERA6Y0ZUhltmxJN0Cdq94llFmN0dEoyweNpe2xi62brMExowhsmhR9j7N0WaGN1kiRcMoHV48iKs/OGSrQnIlrvvpuM4krl18JNRxLSIiIiJ5pvI/GTDBkI+TPzGZHRvbuPfqBbQ3de33YzZv72TL8kamnzQK15f/v64+J91xnQ4P+bId15mqkHje1yAiIvJ2V1tZSBwfu8sOp2j7PE4Z2skR0RgbK5fgFlmWPVdPaOZMIosXY9OD19ZoK8NaAkQD5VQMLxrkV/DWt/eOa1/Ojmvj9tic0UndT4lrEREREckXDa5lQE06ejjv+8aRdDR1ce/VC+hszbnf5hv28v0b8AVdZpw0aoBWuHc+N5O4Tl9OQtIme2zOqMG1iIhIvo0oC+FzDAuZwtjEBs4asptJsRg+n0NkwjY2LWskOeUoko2NxOvrgVTHdXlXahPnSg2uX5dr9ja4dnImrtN3wcElgRLXIiIiIpJfGlzLgKuZUsn5355FVzjBI9cuJRHbtxOa+tXNbFi0i9lnjqGwNDDAq8zN7zokTXfIyM1UhbiqChERETlQXMcwuiLEv7aPwjWWo1qfwO8rYErlFFYOewkDbE4eBkBkUarnurWzkYA3HIDy4YWDtPKDh/N6ietcHdfGYByDa12SJvVmSYlrEREREckXDa4lL6prSzj9M9PYuamNp29Zybb1reyqa8+9AVAOnmd54a61lFQWMPO0mjyvtpvPMXhYvKTFOg4+z6YH18HUAcn9S5CLiIjIG1NTWcgCbyJJHAK7V0DFYUytmsaSrgXUzqhi3do4FBZme64TDduIFA7HGEvZ0NAgr/6tL7s545vouIbUwNs1PuImNdi2SW1cLSIiIiL5ocG15M24mdUce+441s7fyb1XL+DOy+fxyLVLSL5OMsd6lvkPb6SxvoPjPjgBX8A9QCtOJa49IJm04HdTmzPaBPjSg+uEBtciIiIHQk1lIZ2EaCqelLqi4jCmV02nM95J8XjobI3B4e/IDq6drdvpLBxGaZmL6+ot7uvprgrJcaPj67cCxDjgw0/US9enKXEtIiIiInniG+wFyKFt9nvGMGZGFZGOGDs3tfHKgxt55h+rOPWiqZh00qenlp1hnvnHKraubWH8rGrGz6o+oOv1uw6eAZu0WJ8PN5lIJa41uBYRETmgxlcXYwwEx58Ai1dBxVimVU0DoKmsASigc+wcuPs3eJEIwa3NhIuGM3RkyeAu/CDRvTljjsGz4/Y7uHYcgx8/UdKDa3Vci4iIiEieaHAteWWMobo2dQJZO60Ka+HVhzZSUOjn+A9PwJju4fXqV7bz7G2rcRzDKRdNZco7h/e6/UDwuYYkqaoSfKnEddJLdleFaHAtIiJyQHz8mFqOOayS0tY4LL4OKscyrnwcASfABmcFpcGjaS0bR1EiQcudd1K4o5NwqJrK2vLBXvpBoXtwneNGx83ZcQ1gXIOLjw6bGlyr41pERERE8kWDazmg5px9GF0dcRY/XYeX9Djxo5PobI3x6kMbWPniNkZMKOOMz02nuKJgUNbnd1JVITZpwe/H56U3Z3QccAPquBYRETlAQgGXw0eXQdXJMP4UGH8KfsfPpIpJrGhZwXljT2V3Z5yJ7zqJnb//AyOrytky3qVyRNFgL/2gkPniW3IfOq59+IjZ9O1KXIuIiIhInmhwLQeUMYYTPjIRx+ew6IktbNvQSlNDJ9ZaZp01hmPPGYsziL2UPtekqkI8i/H16LiGVOpaiWsREZEDK1QOn7wve3Fa1TQe2fgIXxxXysJHNzPkBz9iy/vPpTSSqherGF44WCs9qBhjcAy5N87ea8d1KnHdZWOAEtciIiIikj8aXMsBZ4zhuA+MJxhyWfJMPYe/ezSHnzyasurQYC8tXRVisZ4Fnx83k7iGVM91omtwFygiIvI2N61qGneuuRN3RAxroamrEP+XP0347g0AVAxX4vqN8jkOiZyD63RViLXQp7bN2WNwnTuZLSIiIiKyvzS4lkFhjGHO2WOZc/bYwV5KL9mqkB4d170H17FBXZ+IiMjbXWaDxp3Fm4EA2ze0EX/PbFbMj1Ba5OEPuoO7wIOI44CXqyrESZ8iWC9VG9JDKnHt0pXuuM5dki0iIiIisv8Gr5NB5C3I73O6q0L8qcR1MrM5kRLXIiIig25C+QT8jp/VnSuoHFnE9g2t1Ee20l4ynIrRJYO9vIOKawzJXIlrkz5FyNFzvUfiWh3XIiIiIpInGlyL9OBzDB5AenDdO3FdoM0ZRUREBpnf9TOxYiIrGlcwfGwp2ze0snVemIrIMIaOKh/s5R1UHKefbpRVCQAAIABJREFUwXUmcZ1jKO24Bse6RGz6PZES1yIiIiKSJxpci/Tgdx2SpL8Z6+/Tce0GtDmjiIjIW8C0qmmsbFrJ8PFlRMMJfHNrSPjijD9y6GAv7aDiOmbvVSE5EtfdVSHp+jQlrkVEREQkTzS4FunBdQyeIZW49vnwJW3vxLUG1yIiIoNucsVk2mJtlE03nPmFGcw7+XbWnvMwoyZXDPbSDio+x/S/OSOkNmjswzgGB4eYTaQPUeJaRERERPJDg2uRvjKDa38AX7Jnx7US1yIiIm8FkyomAbCufS0TZg9lrV3O6JLRg7yqg49jDN6brQpxUlUhXuYsQolrEREREckTDa5F+jCOAQtOwI/P69Nxrc0ZRUREBt3EiokArGleQ2u0lbZYGzUlNYO8qoOP21/HdXZzxn46rkltZg1gExpci4iIiEh+aHAt0pcBY8G4fTdnDEIyNrhrExEREUoCJYwsGsmapjU0dDQAMLpYies3yzGG5JvtuDa9E9dWiWsRERERyRMNrkX6MG4qQmQCQdyeVSFuUIlrERGRt4hJlZNY07yGuvY6AFWF7APX6a8qpP+Oa8c1GNuduEYd1yIiIiKSJxpci/TlpM/E/AX4PIh78dRlXwEklLgWERF5K5hUMYlNbZvY0LIBgFHFowZ5RQef/jdn3Evi2kkNrjEGHEeJaxERERHJGw2uRfrKDK596cS113NzRiWuRURE3gomVUwiaZM8V/8cFcEKigPFg72kg47jGLxcVSEmnbj29kxTOw4Ym3qvZB2jxLWIiIiI5I0G1yJ9mPTg2vgDqY5r23NzxuggrkxEREQyJlVMAmB543LVhOwj1/SzOWOmKiRn4tpJJa4hNcVW4lpERERE8kSDa5E+TGazIV8An9cjce0GIKnBtYiIyFtBbUktBW4BoI0Z95XjmNyB6dfruM4UXDsONqHBtYiIiIjkhwbXIn0YN/VjYV1/KnHt9UhcJ2M5vzYrIiIiB5bruEwonwBoY8Z95TrkrgrZW8e1AXpUhajjWkRERETyRYNrkT6czE+F68fttTljMPVrUhs0ioiIvBVMqkzVhdSU1AzySg5OruPk3pwx23GdO3HdPbh21HEtIiIiInmjwbVIH04mce3z409CMpu4Tg+utUGjiIjIW0Km51qJ633jGvBydlxnEtc5BteOgfSs2rpKXIuIiIhI/vgGewEibzWZzRmt6wcgGe+TuNYGjSIiIm8Jp9aeypJdS5heNX2wl3JQcp3+NmfMbPix51DaOAbSd7GOUeJaRERERPJGg2uRPhw3M7hO/XjYRHpw7WaqQjS4FhEReSsYXjScK0+6crCXcdByjCH5JjuuU4nr9Hslo8S1iIiIiOSPqkJE+nB8md7G1EmbF093WvsKUr8qcS0iIiKHANcxuatC9tJxbVyDTYesPQdIaHAtIiIiIvmhwbVIH07667GZxLWnqhARERE5BLmOyb05414S18Yx2HRK2zpKXIuIiIhI/mhwLdKHm01cpzqubUyDaxERETn0uI7By1kVkk5c2z37qx3HYJMQcAKpxhB1XIuIiIhInmhwLdKH66YT106fjmufOq5FRETk0OGa/jZnzFSF5O649jxL0A3iKXEtIiIiInmkwbVIH5mOay990mbj6ZO2zOaMia7BWJaIiIjIgHKcfgbXr9txbQn6gqmOayWuRURERCRPNLgW6cPNdFxnBtd9E9eqChEREZFDgGv6qwrpv+PaMd2J66SxSlyLiIiISN5ocC3SR3fHdTptlN2csSD1qwbXIiIicghw3f42Z8x0XPeTuE5aAq46rkVEREQkvzS4FunD50snrk2fqhAlrkVEROQQ4qbT03vIJq73HFw76Q0dC9wCPAM2uWcqW0RERERkIGhwLdKHL5u4Tp+0JfoMrrU5o4iIiBwCXMeQzFUVYtKnCLk6rh0DFgJOgKSxSlyLiIiISN5ocC3Sh5tOXHuZH489NmfU4FpEREQOfqm+6lw37KXj2kl9wF/ghEg46rgWERERkfzR4FqkD5/buyqEZPqELFsV0jUIqxIREREZWK4DyTfZce24qcF10BQocS0iIiIieaXBtUgfPn/qxyJpUydm3ZszKnEtIiIihw7XcfrZnLH/xLUx6cG1EyRplLgWERERkfzR4Fqkj0xVSCLz45FIn5C5gfRlDa5FRETk4Oc64OXsuE4nrnP0iGQT104BSeMpcS0iIiIieaPBtUgf/szgOp24NpnBtTHgK9DmjCIiInJIcI3Ze1VIrsS10z24TmCxSSWuRURERCQ/NLgW6cPftyok0eOEzA0qcS0iIiKHBMcxeG+24zp99hAgQMJ43XuBiIiIiIgMMA2uRfrwpRPXSS81uHZ6Dq59QW3OKCIiIocEv+sQy1X1sbeO60zi2i0gYSw2R52IiIiIiMhA0OBapI+AzyGJJUE6cd3zhM4XhERscBYmIiIiMoCGlgSJJjxaw/HeN2Q7rnMkrtMd1wETIEFSiWsRERERyRsNrkX68DkOHuBZJa5FRETk0DW6IgRAXXO49w3ZxPWeQ+lM4jpgAiQd1HEtIiIiInmjwbVIHz7X4AGJdNDa9BpcF0BSiWsRERE5+I2uKASgvjnS+4ZMkXXOjuvM4DpIrOhUXq7+SF7XKCIiIiJvXxpci/Thdx2Sprvj2iR6VIW4ASWuRURE5JCQSVzX901cQyp1vZeOa78J4PlraAmOIpmrJ1tEREREZD9pcC3Sh99NVYVkzsHcXh3XBZCIDsq6RERERAZSWchPSdC3Z+IaUj3XuTque1SFWCcExtDZrPdGIiIiIjLwNLgW6SNVFWJJehbrGEzSw1qbvjGgwbWIiIgcEowxjKoI7VvimgA4RQDs3tnKrStuJZlj0C0iIiIisq80uBbpw+84eAaSCYvnOviSkLDpEzdfgapCRERE5JAxuqIwd+LaccHuWQHiuN1VIdakOrIXrF/ClfOuZMGOBXldq4iIiIi8vWhwLdJHZnNGL+lh/S4+DxKZxJEvqM0ZRURE5JAxuiJEXVO4+9tlGY6bSlzHwlA3L3t1NnHt+CE9uG5p7ABgXcs6mrZ2kogpeS0iIiIi+0+Da5E+/K4hCSSTFuu6+JJ0f/XVDSpxLSIiIoeMmspCOmNJWsLx3jdkOq4X3gzXnw6t9UB3x7XP+sFJDa7j9Z0AbNi1mTuueJVFT9YduBcgIiIiIocsDa5F+vClq0K8hIf1ubh9E9cJJa5FRETk0DC6IgSwZ11IpuN65wrAwpaXU1enB9cm6sOkTyXcbamh97b6RryEZdu6Fm5adhM3LLuBRCxJY0PHgXkxIiIiInJI0eBapA+/66SqQjwLPrdPx7US1yIiInLo6B5c99mg0XHBJqFxfepyfaouxKQ7rtm8Onuo21kA1tKxIzXA3rGxjZuX38x1S69j/n82cufl82ht6uSOVXcQjodp2RGmq7NPwlvkDeqMdQ72EkREROQA0eBapA+/a/CweEmL8ftxk7A7sjt1o68AEtHBXaCIyAAzxpxljFltjFlnjLkkx+1BY8wd6dtfMcYcduBXKSL5MLoiVfdRlx5cb22JEE966Y7rJDSuSx1Y9woATrQNgOTa1EaMfn+EhL+CMTsg2FYKQDSSIN7s0B5rZ/XiBjzP8tizL/KLV37BrUtu465fzeeZW1fxr1X/4n9f+F9adoZ55p+riEXiPL3laVqjrXS2RunqjONZj+au5l5r3qOPWw4Kff+/dcQ6el0Xjod5ds3TvY759c3f4Pan/pq9/I/bfs4dH3svT8+9K7+LFRERkbcEDa5F+vC5DknAJi2BYCE+D9Y2r03d6AYgqcG1iBw6jDEucA3wHmAacIExZlqfwz4HNFtrJwC/Ba48sKsUkXwpC/kpLfBR3xxhV3uUU3/9HJ+7eT7WuBBpgY4dJHxF2G1LINaJaUgNsL1wKnntjoSkG+Ts5QEqw8NxC1KPO6x9DIFEiPatqW+tbV64A4BX5r5GLJJg46Jd3DD3eh5Y/wCP3P4qK+Zu5f67n+Gbz3yTHz/2be66Yh53Xzmfyx77BmfeeQrzFy7jlh++yPLXNnHuHe/mt3P/lyXP1PHfe9bx9JoHuOjus9myezPzHt5I0/YOrnz629zy6m9o2RFmw6JdbGpcw48f/TxbW7ewfUMrXR1xHlpyI3cuuIZk3KN5eycd0Xb+/Nyl1LdsJBFPkkx6vLblOe5Z+OfsgDXhJbh93m/Z3Lgq+2e4uXEV9y38M571gNSA9j9Lb2bN9oXZY3Z3bOfeBX8inuxOmr+49kEWb3k+e7kz2s698/5AZ7Q9e93izc/ywqr7spfjiRh3vPxrdrXVZ69bUf8KDy74a3aNnvW4+flfsXb74uwxqxoWcu3jPyKRfn5rLdc99lOeX9r92Gu3LuXqGy+itbMxe93f7/wOtzzwk+zldfVL+cUVp7N84yvZ6/583Rf51dXvI5lM/b9evWURl39zFnfd/6vsMb/95fu5+ktHsm33FgAWLX+O2y48h9/88KzsMddd/AGaL76Ve++5GoDHHrme2vuGwJ9eo7WjBWstyYdaiAy9jA03PoqIiIgc+nyDvQCRtxqfY1Id157F+IL4k4a1zem0ka8g1ffoJVMnc611MHLm4C5YRGT/HAOss9ZuADDG3A6cB6zoccx5wE/Sv78b+JMxxljFHkUOCaMrCqlvjvDPVzYTiSd5fs0uWio8SnasxAfc3XU0H/M9S8v6V9m29Engo0S8CgDaShoJMJrpmysJl46Aym3QVc7588ZQEg7TMNpQOsTD7hrGn58MsHTaDExRFC/u5+NPHU31rhfZNDGBz3XY+UKCq1aF2FI7nM6i1J4itbeW8qMGw8uTVmNMBc/+ZRmf3ZCgqaKOuZWpYIHz4EI+uqmehx57BNzJvPrQMg7bsoSu4DpuGz4Va4OY6Iscs2Ee94+/Hht4F8Z0ULLtfnyJMH+rqcKzQ3Hir1C7/gn+XdOGLTkXQ4SCnXdQ0r6Vv461JM0UnMQCRm18lCeGLMMbeh4A7s5/M6RxI387bDf+kuNJdC6ievOzvFT0JM/XnInjluFtf5zh2zdyQ+0WCkecTqRlGRVb5pFwHeaPWUqwZCyRLU8yalsdt41YT/G4Mwk3b6Bo8yL8iTh/P2wVlaPn0Lj6SUY1bOehIRspnHoy0fZG/OuXUhyO8vfaLdQccRZ1Cx9hZEMrrxRfx/zDjwIcksuWM7rT48Z//YAJJ3+IdS88SPXWJNv8L/CP6RspHVpL23/nMSl8GPc8+Qsmn/9hVj7zCOXbysB63Pjcjxh7zMlsue8pJnjnsHDRfTR+pJV1L75Aef10yjmSG7/6Xd5x4WdYcM29DA/+gOhtG3m8/VZ2rF1P+cYPEA1W8ei3fsd5v7qERVc8R7zyR5Rv3cXdv70cm3QoiHyZrbUlFN0zn/ZTmtl6WyPh4ScAcM+PLqNi/BjCJWeB9bD2bLasW3mgf1RERETkADMH2znnnDlz7Pz58wd7GXII297axdWXzmViWSGzFlzFWrbw2NeP4Zb3/hVe+B08+WP44TZ4+uew4Ga4ZAu4+gxI5FBhjFlgrZ0z2Os4UIwxHwLOstZ+Pn35k8Cx1tqv9ThmWfqY+vTl9eljdvd5rC8CXwSora2dvXnz5gP0KkRkf3zxlvms2dFORzTJjFGllIf8fGXFJxjvbMPF47bpf+Hjy/+HPyY/yHnJpTzUdCWBUB2xSA2ram5lSt2FTF15MyunfopxG+6nuXwynYXFlHRuoaVsFjOX/IkFs75LVfMzNFa8m7Eb/01n0UgaK6dQFF5DR9E0Zi7+IwuPupji8Bo6Q5MYvv1lDJatI46jsGszkWAt01bexOpJF+B4HcT9FZS1bqCko4G6mlPwxxqJ+ysYt/EhGkaeSNxfgDV+QpHdVDWtpK7mFJxkBM8NMXLrXFrKJhIuHApYArEOhjQuYeuI4wADxqGqcRnRYDkdxaMBcBMRhjQuY9eQI/HcAAAl7VvAerSXHgaA8eJUNK+htWwcSV+qO7ygqxF/vIP2kjGpP2zrUdK+hUiomoS/CABfPEww2kxn0QgwqS/EFkR2kfAVZo9xvDiBWBtdwYrsMb54GGtM9rky60y6wewxqXUlscb0ui61liQYt9dxEMM63Y/nJNsBF88tzL5Gl2aSVGEdN72OXYBHwj8se0zAbCGRHJldWyC6HeO2EvVNhnQyvdBdSqyrlqSvBAB/vJFASQMdsVn44k0k/JUUunNJdo4h4avG8dqAIFUTNrJ9y1EUxJbw+Ru/9bb6N1tEROTtRtM2kT58rklVhXiWKAY34aeucS31X/86Q04aSgGkNmhs3gzxzlT349Apg7xqEZF9ZnJc1/dT7TdyDNbavwF/g9QHzfu/NBE5EGoqC3l8RarK4zPHj2XOmAq2r/Hjeh4Ww8ff/wG6Gv6PT7c9QdymeqxLSsfQGPFIlCwHYOe7PwDbYdGUrTSUBJnadBYdQ8ewI7aYe96xmWG2meaqU8CzPDZjHtFgBYc3zaKtdCYN5c+x4sRNVIdeg91zcIIej8x4iJib5ITI8YTNWFpGPc8dZYuoGFLMqI0fpajK5ZkRN5JMhDmj+kSaVlXhm7GU+8qfpHLoFg5v+x4FxS5zo1fQGd7New+fSeeq0RRO3sR/ltxJWeVwzhr1e5Ixw4tN/8uCnWs44x0jKG48jsCIndz73+soCBXx0eNvIhn2M6/hKp5bN5d3zvk4U8ovxIaauPPx74IxfOKcm3Ai5SxpuJ758+9iyuEnc+rhP8JzOvjXA5cR7erkIx++hhIzgVXb7uO/T/6JYWOn8uGz/4LnJbjtrgtpb9zOez74M8YOexcbtj7N4/f+guIhw/j0p+/E4HLb7Z9hx8Y1HP3eL3Hc7M9St3U+99/4Q3yhEJ/71j0UFVRz261fYtfieYw57j186EO/pGHbSu783acAjwu++w/G1B7Ordd/ix3PP01o+kS+8r272bm7nlt+/GGccIITvvwjjj32PO6+5cc0P/g0bWN8fONX/6Grq5Prv/tBKna4lF9wGud95BLuv/0qwre9QHN5Jx/63T8oKqrg+q9+gNH1Q9hxksvnf3gTj9z1B7puWkLMF2HGz7/A1Gkf4frPfZSq1tnsGvIqn/nr/Txyx59ovWs9GD/B93Zx/kXf5+ZPfpVw8QcpbXqSD9x4CY/98y/seqWSeGAYQeeffPCH13Pjhf9HuHjWIP3EiIiIyIGixLVIH62RON/6/jPMTvoZv/6vtHfVcetZrfzqpiRV7zuGocX3431rJc7tF8C2RfDB6+HwDw32skVkgLwNE9fvBH5irT0zffkHANbaX/Y45rH0MS8ZY3zAdqB6b1Uh+vda5OBx43838tOHVjC+uognv/0ujDEkrz0Rd8cSKB8DFy+B+78Ki26lhXH8c/uvKSoP0NrayaOzLuY9C39HKBQkHvb451E/oyIyjLNXfQmAxRMe4aXqx/hC+6W4y4ZSNb6Ay4d+iTGFI/nk6p/TtL2Tqs80csXyn3PdCTez+uYu5px9GA9xI6XBMs4rv5AtyxuZeEoFt6y4mU9Mu5BovUPZ0ELqk5to6WrmmOHH0tkao6g8wPwd85kxZAZBpwBjIJKI0BhppKa0Jvt6d0d2Ux4sx+ekMjzWWjriHZQESrLHxJIxfI4Pp0dKOe7F8Tv+7GXPehgMxnR/tmet7XU513X5PMazXq81Z3q3e72OZBy/2/t1xJIxCnwF2etao62UBkqzjx/34jRFGhlWNDx7zMbGtQwrGUlhIJUKj8TDzNs0lxMnnJG93xOL7qWqdBizxh0PwPaWBm6+50d8/qNXUlVcDcA1132ZSGcr3/nmbQC8/NoTvPzbHzLsfedzwUcuxVrLXz59NkMaq5j150sZXzuVG372ZWJbzuHL17/3bfVvtoiIyNuNEtciffhdw8pAgtkdPpoLx1PQsZVhzanZTHjNVpgFv3l0Kd9p35a6w/YlqcG1tfDsL2Hye2DkUYP4CkRE3pR5wERjzFigAfgY8PE+xzwIfAp4CfgQ8LT6rUUOHTUVqRqITx93WHbg6GZq0IZMTB90DCy6FTPmWNgOkY44MV+YbQEfHcFmfOGh4PNoDzaR8HVvZF07Yygv7YB3nDCdect2cdRJ4/h/Rf+PKVVTmHjcNDqao9ROr+TUae+mKlTF7J+khrGT+UH2MYYdlkp5f2P2N1NXpJc0mcnZY4orggAcPfzoXq+t0F9Iob+w13VDQkN6XTbG9BpaAwTSdSA99RxaQ+9hcM/Her3r8nlM3zXlWmPPoXXmmJ5Da4CyYFnv+zj+XkNrgLFVE3tdDvkLOWnimb2uO33mB3pdHl4+iu9/7oZe133189f2uvyOo07n2JtPy74+YwynXXUNa3euYXztVADO//Yvuf7i3s8lIiIihx4NrkX68DkO21yLLfbRHp5M0bYXGd6Sui2yfiveEfDSqs20bGqjo76CyppFfP7vL/O7M0oZ+tyVsH0p7e+/Bc9CmdMFW1+DsScN7osSkb1qDceJxJMMLyt4/YMPMdbahDHma8BjgAvcYK1dboz5GTDfWvsgcD3wD2PMOqCJ1HBbRA4RJ02q5or3H84HZ4/qvjLdX0zVhNSvh50AxsFMOg1eAS9hiRdG8YBwQSvlXUMJVbtgLGOGjqasOkQy4XHucRcwYWstR0+ewYTLwlSMKGSy+XT2aapGFad+DVUBuYex8vbT9+/BxGHjmDhsXPZyZXE5373uFb53vf6+iIiIHMr2/Ah+ABljzjLGrDbGrDPGXJLj9qAx5o707a8YYw7L53pE3gi/a8BAsqaQeGgUxi1lWFP6TXHSY1NriKLkRppWFdNeH6JzwQpeXN/IgifvoeHFCtqefo6vXPcUH7z2ReL/+Qldv3s/zavm8sVb5rOsoRX77FWw8t8srW/lvtfqIZmA+vlgLa9saKStKw6eB55HPOlR3xzutb7/3969x8dZlvkf/1xznsmhaZMmTdImPdIChVKg1IogAiKIVMQCBVH5qYurKOvpt4tHFH/qIq7urmdWWBaUBUWRgwiuIILlUCq0UEtpSw9pWtqmTZomM5mZzDz3748ZpmktNLKTzCT5vl8vXuR5nnvmuebKzFyZq/fcTyKdwfMOnOh48LbISHTwBN5M1vur4919/Qfsa+9K0JvKFLb70ll+t2brAa+JO55ayd3Prilsr9m2k89+6Wqe2dRWuN8ffOH/8tOrP0dfev99jSXOufudc0c452Y4576W3/elfNMa51zSOXehc26mc+4k59zG0kYsIsUUCvi4dGEL4cD+C/WRX0aj0LiunQH/sArfUe8oDOkPJgHwKnIzrOubczOjj5t4HG+8YCZvumgWU6qnsHTOUsyMCU0VakyLiIiIyKAN2YxrM/MD3wfeCrQDT5vZPc65NQOGfRDocs7NNLOlwHXAxUMVk8hgmBl+n9FR66fRjP7ao6nv3MLO+jDju4y7knX0VPyR1N7c1yy3rY0y86wHSD/yDPvaovS8HKG29i62hKey9d/vIbWtnnj8atZMXsIdG37B/3nwlwSqHd84+Qo2epXMufMhKh5/lt1nnsYnUws4ojrGt9Z9D8y45qgrWbknxTfnOOY8ciN7Tr6AD29poGl8Fd/zP46vayf/MeMS7ntxB/+4qJVTVv+K3iNO5B/WVxINB/n2zDiR7et4cPJZ/OefN/HeBXM4r/MxUvWtXLMhQm+qn68vqqd6y7M827SI7y1bxxlzZ3BZeAuZcBX/tjXMlt1dfPa0OTTufI7NtXP5l8de5NjWJq5odZiX4eYdYVa81M7H33IcsxOb2D2ulev/+AKN42v4+Px6Aqk493WG+J9V63jvKcdxYqibeLSWbz+6lmAwwCdOmUM0uZcnesLctXw1b59/FG9p8JMKRPnhE+vo6Utx5RnHM8FLsKbXx0//9AwnHTGddx05if6sx63LN9DWsYcPvXURk6PQ1pvlxoeWM725gfedfDQ4j18+u4lnX2rj/acvZHZdBbv7svzwwceZUFnBh95yAiE8HlrbxsMrX+Bdp57Egpkt9CSS/Oj+PwLwkXNPozIa5ul1m7n70ad484nH8tZ5c0il0/zkgUfZu6+XKxafycRxVaxp287tDzzK3DkzufCUE3DOccuDj9DW/jLvW/w2pjbU0barg1vueoBJTY1cfs5bCAT8/PLhZaxevZYL3nEWx0yfQkdXNzf9/G4iFTE+fOFiIuEQDzz+NE8+sZzTTj+V0+YfQ0+8jxt+9nOyXpa/u+xixldWsGzV8zx8/0Mcc9IJnH/GKaRSaX7809vZt2cv77/8EqbUT2TV2nXcfcevaZ4zkw9c9C48z+Mnt/43Oze3865LL+KYI6azfssWfn7Tz4jV13HlFR8gFAxw82130L5qLSeffzZvWbSQ9h07uOV7P8EXCvCRT1/FuIoY//2LO9m8bBXTTj2BpRecz+7Ovdx4/b/h9We59JMfobW5kV/9+te89LtniM2u56NXXcm+eJwbrr0Oeh2n/t27WTh/Pvfeezcv3buazPgUV331i2Sdxw+uvpZQzwQaz5rCkosu4v777mbzr9rIBPaw9BtXMb6qihs+eQ3h5PH8cPJNXPmVa7j3l3ew9zdgLs0TV+zlpAULefSLP2Ry6CyWf/Vm5t/4RX7+o+8yrvccnC/Ibdd9rZRvPyIi5cMOmnENUNOCde9fBiQbSgPgq8oC0Di5lk9P/jSnTTmNqeMmDluoIiIiIjI6DdnFGXWxJxnJZn/ht5w0bQILH9tExBcklHiZnnFHgO3/t55Qeh/ZQIasb0Juh/MIp3eS9VWTCeYuUhPIJAj07yUZaSh8AIz07cTzRUjn1w70ZVNE+3aTiNXj8msnRpJ7cBipSO6+zesnlthFX3QiXn7NxVCqG7+Xpi+a/2DoslQkdpEM15ANRHPn748T6u8lEZ0I5gPnEevrIB2sIBPMfTXXn+kjnNpLIlY/IMbdeP4Q6VB1PsZaWMtXAAAUxUlEQVQ00eQeEtG6QozhZBfgBsSYIdbXQV+kthBjMN1DIJscEKNHLLGT1F/F2EMiWp+LEYgldtIfrKC/EGOSSKqTRLQB5xsQoy9AOlyzP8a+Dvpi9XgDYjSXJZlfy9K8DLHETpLROrL+cD7GfQQzCRKxSQNifJl0aDyZ/JqYgf44ofReErHGQozRxMtkAhX053Pkz/QRSXaQiDXh8rPUIn07cRYgFakdEOPL9EUb9/8ek52532P+/LkY20lGGgo5Cqb3EuzvIVExpRBjRbyNdKiW/vyanIH+XsKpXcQrWgu/x1i8jUygknR4QiHGaHIr8di0wu8xmmjHmZ9ktLEQYyzxEn3RaWTz612G+3bg9xIkKqYXYqyIv0gy0kImWJV/Pu4m2N9BvGJ24blWGV9DOthUOH8wvZdIeiO9sXmF32NFfDVZ33iS0ebC44imnyceOaGQo2hiLeYgUTEHc1nMy1DZ/yTxwAKcBfD8ISKJDfjpIh5bgD+TIOsPM857hET2eDxfGGcBgukdhIIb6AmcTji5g1RkEtXhh0h1H4nnq8BcGvC44uZLdaGnIlC9Fhnh/msxbPojfGI11Oy/sGFfb5qbPvMnALY3v8A9LT/iQu9D1D51DOd+9FimHlv3avcoUnRj7YLKIiIiY81QrnHdDGwdsN0OLHy1Mfk1NruBWmD3wEFmdgVwBUBLS8tQxStSEPL7aO/qY0HPelITT8ayGRLuMSJ9e5izLU6mYhw7KxpY1xrhtJWPUpnaQ294EsuPnEplcgvHv7Aecx6bWmewvqGeEzatpGFHOz3VE3n6iNn4s2kWrn2BYKqPl6bNYF3DZGbufpQZGzfRO24cz0w7Es+M+W0PUd3Vzcap09lY10JD73LmbFxLMlbJ6sY5pAIhZu95gom7d9DWOI2tNa1Uprdw5I4XyfoDrKs7gt3RKib3rGRyZxvbJ7TQXtlCyNvKrL0bCGQzvFQzk71VNdSlXqC1ewsdFfVsi7bgI0NrYgsV6V42V05lV2Ud1f3rmdrbRndoHNvCLTiDxtQTTOjfS1t4Mnsq6olkNjI10U7CF2Z7aArZYIi6/mdp6O+gPdRIV2wSIW8Lk9Pb8ZyxPdBEIlLJuOxfaMp2sMNfy95II37XxqTMdkIuwzZrYm+0hgpvHZO9XexmHF2hRiBLrXuZal+SbdTTHa0l7DbSQgf7vCidwUbAR032z0zw97Ldq2NftJ6g28JkdpH0gnT4J5H0h6nyVtMQ2MfL6Rri4UZ8tDPJdoKDXTQQD1cT9V6kKdLDjmQFiVAjsJ1a20nUl2V7fx3xSC0hbxnNkU52J2P0BJqBLONYQU04zbb4eOLhSfjd07RGu+juC9Dta6LfH6DSPUdDZZqt3VUkws343HM0R3aT7De6aCITqiDqPcTk8WnaOiP0hVvArac+vAu/OXal6+kL1RLyHmNqfZqtHT6SwenAdiYEl1MZM7Z1jCcRbiaQXc60SX1s7/DoC0wHHNX+3zGpzs/GrVH6IjMwbxUzJ8XZ3dlPT2oGGX+YqP2eWdOivPCiR1/kKMzbSGtDJ32JDJ2pqSTDDYTcHzluXg2rnukmETkeX7aDSbWrCIcDbNtUT2/saAKZJ1l4egNPP7qFvsgifNk446seonl6PS8+FaSnYhHB1LOcfE4TKx5+jlToTWAQDf6eE89ZwFM/386+yJsJJjdzzPmVrF+2knj2FDz/TILeHzj3Uxfx2+sepTt6BgFvH60n76BzczvdL7+RlK+FUHIlF3/7fdzxyV+wjzMgAlXNf8KPY++2U0r51iMiUj58fghEoLr5wN2+/Ut9eKHc8k0V040Z6Yk0zqoZ1hBFREREZHQbysb1oRawO3gm9WDG4Jy7AbgBcjO4/vehiby2gN/Y1tVHOr6RM9f/hlC6m++e58NXFeTM5bmvyM46Ic5XKz7Bx8IPktjsY9a0ONeEv8708VGWrrsBL+1j44mzuX37FC5d0kPD7XcQO+vNfLlrDnMmVfGPb9hCdu3z+JZcw23/s41LPn4es5d9g8DCd/P8+noCPuO8kxZD21McOfUd/PvDL3HOm6Yx3WuDygaqtnm0d/Vx0YJmLLWP/tA4bl/exmmz65kyIQbOMbczwZrt+zh77qTCmpKPrutgVkMljeNys3n3Jft5bms3J8+sLYxZt7OH6kiwcKG6TNbj+W3dzJtcU/jAumtfEs9RGOOcY8OuXqZPrMSfH9ObyhBPZWio3n/Bu217+6ivChP052Yu92c9uuJp6geMiacyhAK+whjnHPF0lsrw/resVCaLz6wwBnLrf8dC+8dksh4ODhiT7M8SDvgKjzXrObKeIxTwHXDfQZ+v8Fg9z9HveQes/dmf9fDll5V5JcZUxiMSPHCMAYGDzj9wTCbr4TkOOH8inSEa9BdizGQ9Mp474HbxVIZI0F84f9ZzxNMZqiPBwpjdvSkqQgGiIX/hcbR39dFSGyuM2dObwmfG+IpQ4XGs29nLrPrKwuPvjKfpTWYKt3uTczzX3s0RDVWF++6Mp9namWDelCUALAAef6mDGRMraaiOFs71xKadvP3os/H5jHmXwT3PraNxXBULWnOrRM15T4L/fPxJPvrmj1MdDXHsBZdw0x+eJON5fOCMrwNQ+4YevnfLTVx0/hLmT21m0fkX8a8338ze9nY+/9mvEPT7WPTVCdz7ze9S/YY5nHP5hwC47nOfI7YryvGfvZiqCXU0XTaNrbdtIx1cy2Wf/38457jxg9cjIiJAuBomzgHfgZfEsQGNa8K5JUIm1tVw9oePGc7oRERERGQM0FIhIoew4Gu/p6MnxUefu4vzNi4D4HOXhXHJBXzjzj8BjqoLjDd53+KZhh+SuH819W+dyOLQv/C+RVO5ZMXF0NdF1xV/5onN+3j70XXY6l/B7LPpIUY06M81M50DXaRIZEg45w64CFjWc3TG00ysChf23fH0Cxzf2sSs+tzSPbf97gHe87Zz9LXjIlC9Fhnh9r0M2TSMbz1gdyad5cdX5a4B0T5vBffFbuX6U6/n7GlnlyJKGeO0VIiIiMjoNpQzrp8GZpnZNGAbsBS49KAx9wDvB54AlgAPv1bTWmS4BPOziQLhUGHfxs7PsKg1TCD2CKHKLNGmGbxrYjPj6xYyofsxOGYpD5xzam7wjFsg28+E6grOPTa33jXzcjNKqwaeSE1rkSFjB72+/D47oGkNcPGCIw/YvvSss3nPkEcmIjICVDcecrf597+3+iK5P9snxnQhRhEREREpviFrXOfXrP4Y8CDgB25yzv3FzK4FVjjn7gFuBG41sw1AJ7nmtkjJvbK0QySaa3K5WIzuYA1Ht1Yx5dRO/EFHsGka37ngOFizJXej6aftv4O6WcMbsIiIiMgw8NlBjes01EfrSxiRiIiIiIxWQznjGufc/cD9B+370oCfk8CFQxmDyOsRyM8mikZz6y6HW1p429xJnDNvIpGVmdygqvxMpNnnwpKbYNZZpQhVREREZNiYz3JXqXHgjxqkoS5WV+qwRERERGQUGtLGtchIFcrPuI7FcjOuwy0t/Pi9J0Kqd/+g6ubc//0BmPvu4Q5RREREpCR8PsPLOqKxIDXJGqKBaKlDEhEREZFRSI1rkUN4ZcZ1rCI34zrUMiV/YMD6uK+y9qOIiIjIaPZK43rpvIt4m51e6nBEREREZJRS41rkEAK+3IzrynzjOjilJXfAFwDzgfOguqlU4YmIiIiUjOUvYj2lrolW/+QSRyMiIiIio5Wv1AGIlKNgfsZ1VWXuq6+FGddmEMg1s6lS41pERETGHp/fCEX8+Pz6KCEiIiIiQ0d/bYocwiszrqvrxoMZoWnT9h/0h8D8UFlfouhERERESsd8RrgiWOowRERERGSU01IhIofwyhrXTe88F/+xswlOmjTgYARCleDzlyg6ERERkdIxnxGO6WOEiIiIiAwt/cUpcghBv4+qcIDK6gqYN+/Ag4EQVDaUJjARERGREvP5jIhmXIuIiIjIENNSISKHUBMN0loXO/TBinqoO2J4AxIREREpEz7NuBYRERGRYaC/OEUO4fPnHkkq4x364CW352Zdi4iIiIxBx5/dyri6aKnDEBEREZFRTo1rkUOorQy/+sHKicMXiIiIiEiZmXtqc6lDEBEREZExQEuFiIiIiIiIiIiIiEhZUeNaRERERERERERERMqKGtciIiIiIiIiIiIiUlbUuBYRERERERERERGRsqLGtYiIiIiIiIiIiIiUFTWuRURERERERERERKSsqHEtIiIiIiIiIiIiImVFjWsRERERERERERERKStqXIuIiIiIiIiIiIhIWVHjWkRERERERERERETKihrXIiIiIiIiIiIiIlJW1LgWERERERERERERkbKixrWIiIiIiIiIiIiIlBU1rkVERERERERERESkrKhxLSIiIiIiIiIiIiJlxZxzpY7hb2JmPcCLpY5jFKgDdpc6iFFAeSwO5bE4lMfimO2cqyp1ECOd6nXR6HVdPMplcSiPxaE8FodqtoiIyCgWKHUAr8OLzrkTSx3ESGdmK5TH/z3lsTiUx+JQHovDzFaUOoZRQvW6CPS6Lh7lsjiUx+JQHotDNVtERGR001IhIiIiIiIiIiIiIlJW1LgWERERERERERERkbIyEhvXN5Q6gFFCeSwO5bE4lMfiUB6LQ3ksDuWxOJTH4lEui0N5LA7lsTiURxERkVFsxF2cUURERERERERERERGt5E441pERERERERERERERjE1rkVERERERERERESkrJRt49rMzjazF81sg5ldfYjjYTO7I3/8KTObOvxRlr9B5PFUM3vGzDJmtqQUMY4Eg8jjp8xsjZk9Z2YPmVlrKeIsd4PI49+b2fNmttLM/mRmR5UiznJ3uDwOGLfEzJyZnTic8Y0Ug3g+Xm5mHfnn40oz+1Ap4ix3qtfFoXpdHKrXxaF6XRyq18Whei0iIjJ2lWXj2sz8wPeBc4CjgEsO8QfxB4Eu59xM4DvAdcMbZfkbZB7bgMuB24Y3upFjkHl8FjjROXcscCfwzeGNsvwNMo+3OeeOcc4dRy6H3x7mMMveIPOImVUBVwFPDW+EI8Ng8wjc4Zw7Lv/fT4Y1yBFA9bo4VK+LQ/W6OFSvi0P1ujhUr0VERMa2smxcAycBG5xzG51zaeB24J0HjXkn8F/5n+8EzjAzG8YYR4LD5tE5t9k59xzglSLAEWIwefyDcy6R33wSmDzMMY4Eg8njvgGbFYCuHvvXBvP+CPBVcs2E5HAGN4IMNo/y2lSvi0P1ujhUr4tD9bo4VK+LQ/VaRERkDCvXxnUzsHXAdnt+3yHHOOcyQDdQOyzRjRyDyaMc3t+axw8Cvx3SiEamQeXRzK40s5fIfYi7aphiG0kOm0czmw9Mcc7dN5yBjTCDfV2/O7+kwJ1mNmV4QhtRVK+LQ/W6OFSvi0P1ujhUr4tD9VpERGQMK9fG9aFmYh08k2MwY8Y65ag4Bp1HM7sMOBG4fkgjGpkGlUfn3PedczOAfwK+MORRjTyvmUcz85FbjuHTwxbRyDSY5+O9wNT8kgK/Z/+sYdlP9bo4lKPiUL0uDtXr4lC9Lg7VaxERkTGsXBvX7cDAfymfDGx/tTFmFgDGAZ3DEt3IMZg8yuENKo9mdibweWCxcy41TLGNJH/r8/F24PwhjWhkOlweq4C5wCNmthl4A3CPLvj0Vw77fHTO7RnwWv4P4IRhim0kUb0uDtXr4lC9Lg7V6+JQvS4O1WsREZExrFwb108Ds8xsmpmFgKXAPQeNuQd4f/7nJcDDzjnNTjrQYPIoh3fYPOa/6vljch+Cd5UgxpFgMHmcNWDzXGD9MMY3UrxmHp1z3c65OufcVOfcVHJruC52zq0oTbhlazDPx8YBm4uBF4YxvpFC9bo4VK+LQ/W6OFSvi0P1ujhUr0VERMawQKkDOBTnXMbMPgY8CPiBm5xzfzGza4EVzrl7gBuBW81sA7mZW0tLF3F5GkwezWwBcBcwHjjPzL7inDu6hGGXnUE+H68HKoFf5K851uacW1yyoMvQIPP4sfxMuH6gi/3NLskbZB7lMAaZx6vMbDGQIVdnLi9ZwGVK9bo4VK+LQ/W6OFSvi0P1ujhUr0VERMY206QnERERERERERERESkn5bpUiIiIiIiIiIiIiIiMUWpci4iIiIiIiIiIiEhZUeNaRERERERERERERMqKGtciIiIiIiIiIiIiUlbUuBYRERERERERERGRsqLGtYiIiIiIiIiIiIiUFTWuRcqQmdWY2UcHbDeZ2Z1DcJ4vm9k2M7v2NcbMMLOVZtZb7POLiIiMZKrXIiIiIiJDx5xzpY5BRA5iZlOB+5xzc4f4PF8Gep1z3xrE2F7nXOVQxiMiIjKSqF6LiIiIiAwdzbgWKU//DLwyc+p6M5tqZqsBzOxyM/u1md1rZpvM7GNm9ikze9bMnjSzCflxM8zsATP7s5k9ZmZzDndSM3tz/pwr8/dXNcSPU0REZCRTvRYRERERGSKBUgcgIod0NTDXOXccFGZ0DTQXmA9EgA3APznn5pvZd4D3Af8K3AD8vXNuvZktBH4AnH6Y834GuNI5t8zMKoFkkR6PiIjIaKR6LSIiIiIyRNS4FhmZ/uCc6wF6zKwbuDe//3ng2PyH2DcCvzCzV24THsT9LgO+bWY/A37lnGsvctwiIiJjieq1iIiIiMjrpMa1yMiUGvCzN2DbI/e69gF7X5kBNljOuX82s98AbweeNLMznXNrixGwiIjIGKR6LSIiIiLyOmmNa5Hy1AO87vUqnXP7gE1mdiGA5cw73O3MbIZz7nnn3HXACuCw62yKiIiMYarXIiIiIiJDRI1rkTLknNsDLDOz1WZ2/eu8m/cAHzSzVcBfgHcO4jafyJ9zFdAH/PZ1nltERGTUU70WERERERk65pwrdQwiUiJm9mWg1zn3rUGM7XXOVQ59VCIiIjKQ6rWIiIiIjEWacS0ytvUCV5jZta82wMxmmNlKYOfwhSUiIiIDqF6LiIiIyJijGdciIiIiIiIiIiIiUlY041pEREREREREREREyooa1yIiIiIiIiIiIiJSVtS4FhEREREREREREZGyosa1iIiIiIiIiIiIiJSV/w/pA54zP36MTQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 1800x1080 with 5 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light",
      "tags": []
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "hb.show_sample_plots(X=X_resamp,y=y,classes=classes,classes_further=hb.classes_further,\n",
    "                     plot_xlim=.5,dims=[2,3])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "T60J5vepTGEq"
   },
   "source": [
    "### Lets Save X,y and use Torch to see how the model performs on a deep learning frame work using COLAB GPU"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 0,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "uLNVksq0TGEq"
   },
   "outputs": [],
   "source": [
    "pd.DataFrame(X_resamp).to_csv(\"/Users/eddymina/Code/python/notebooks/DS4440/DS_Final/X_resamped.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 0,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "RHV_GS32TGEs"
   },
   "outputs": [],
   "source": [
    "pd.DataFrame(y).to_csv(\"/Users/eddymina/Code/python/notebooks/DS4440/DS_Final/y.csv\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "E1Slkpc2TGEt"
   },
   "source": [
    "___\n",
    "### CONTINUE to Link Below if you need a GPU. Model is Run on Google CoLAB GPU \n",
    "\n",
    "https://colab.research.google.com/drive/1VdmThtlYrctIUHqWGsRvgE8dnb4TdYnd\n",
    "\n",
    "(If you would like to continue locally keep moving below)\n",
    "\n",
    "---"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "eciRUiYBTUVr"
   },
   "source": [
    "# Deep Learning \n",
    "\n",
    "#### 1. Uploading Data from (CPU) to CoLab \n",
    "#### 2. Dividing and Preparing Data For Training \n",
    "#### 3. Design Model In Pytorch (CUDA)\n",
    "#### 4. Develop Training and Evaluation Metrics \n",
    "#### 5. Results\n",
    "---"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "KhIFWoI8VRH6"
   },
   "source": [
    "### Uploading Data from (CPU) to CoLab\n",
    "\n",
    "You can skip this if you already have a GPU on the local computer and continue with X_resamp and y"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 0,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 139
    },
    "colab_type": "code",
    "id": "BcCp71nOTGEu",
    "outputId": "6d2c4b02-30f7-47e2-b1e5-dd6974628e9c"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Go to this URL in a browser: https://accounts.google.com/o/oauth2/auth?client_id=947318989803-6bn6qk8qdgf4n4g3pfee6491hc0brc4i.apps.googleusercontent.com&redirect_uri=urn%3Aietf%3Awg%3Aoauth%3A2.0%3Aoob&scope=email%20https%3A%2F%2Fwww.googleapis.com%2Fauth%2Fdocs.test%20https%3A%2F%2Fwww.googleapis.com%2Fauth%2Fdrive%20https%3A%2F%2Fwww.googleapis.com%2Fauth%2Fdrive.photos.readonly%20https%3A%2F%2Fwww.googleapis.com%2Fauth%2Fpeopleapi.readonly&response_type=code\n",
      "\n",
      "Enter your authorization code:\n",
      "··········\n",
      "Mounted at /content/gdrive\n",
      "X (resampled): (107726, 187) y: (107726, 3) Classes: {0: 'N', 1: 'S', 2: 'V', 3: 'F', 4: 'Q'}\n"
     ]
    }
   ],
   "source": [
    "####Get (Processed Data) into Google Drive \n",
    "from google.colab import drive\n",
    "drive.mount('/content/gdrive')\n",
    "import pandas as pd \n",
    "import numpy as np \n",
    "from random import choices\n",
    "from collections import Counter \n",
    "\n",
    "\n",
    "X_resamp= pd.read_csv('/content/gdrive/My Drive/processed_ecg_data/X_resamped.csv')\n",
    "y= pd.read_csv('/content/gdrive/My Drive/processed_ecg_data/y_i.csv')\n",
    "\n",
    "X_resamp=X_resamp.drop(X_resamp.columns[0],axis=1).values\n",
    "y=y.drop(y.columns[0],axis=1).values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 0,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "p3Tvh9GnTGEv"
   },
   "outputs": [],
   "source": [
    "classes={0: 'N', 1: 'S', 2: 'V', 3: 'F', 4: 'Q'}\n",
    "print('X (resampled):',X_resamp.shape,'y:',y.shape,'Classes:',classes)\n",
    "\n",
    "def get_key(val,my_dict): \n",
    "    \"\"\"\n",
    "    Simple Function to Get Key \n",
    "    in Dictionary from val. \n",
    "    \n",
    "    Input: Key, Dictionary \n",
    "    Output: Val\n",
    "    \n",
    "    \"\"\"\n",
    "    for key, value in my_dict.items(): \n",
    "         if val == value: \n",
    "            return key \n",
    "    return \"key doesn't exist\"\n",
    "\n",
    "def one_hot(c,classes=classes):\n",
    "    \"\"\"\n",
    "    Simple one hot encoding for the \n",
    "    types of arrthymia conditions. \n",
    "    \n",
    "    class --> encode class\n",
    "    'N' --> [1, 0, 0, 0, 0, 0, 0, 0]\n",
    "    \n",
    "    c:: current class of the object\n",
    "    classes:: classes dictionary \n",
    "        \n",
    "    \"\"\"\n",
    "    enc=np.zeros(len(classes),dtype=int).tolist()\n",
    "    enc[get_key(c,classes)]= 1\n",
    "    return enc\n",
    "  \n",
    "all_patients=['100', '101', '102', '103', '104', '105', '106', '107', '108', '109', '111', '112', '113', '114', '115', '116', '117', '118', '119', '121',\n",
    "              '122', '123', '124', '200', '201', '202', '203', '205', '207', '208', '209', '210', '212', '213', '214', '215', '217', '219', '220', '221', \n",
    "              '222', '223', '228', '230', '231', '232', '233', '234']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "S_54Q6upV-Cl"
   },
   "source": [
    "### Dividing and Prepping Data for DL"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 0,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 86
    },
    "colab_type": "code",
    "id": "l21a0aoVTGEw",
    "outputId": "0c492706-1f74-4a01-a35c-7d8659449d4f"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "X_train: (88246, 187)\n",
      "y_train: (88246,)\n",
      "X_test: (21543, 187)\n",
      "y_test: (21543,)\n"
     ]
    }
   ],
   "source": [
    "from sklearn.utils import shuffle\n",
    "def get_train_test(X,y,train_size,classes=classes,patients=all_patients):\n",
    "  \"\"\"\n",
    "  Get train and test function for spliting ensuring testing has all classes\n",
    "  preseting for testing/eval to see how well all classes are performing. \n",
    "  \"\"\"\n",
    "\n",
    "  sub_c={}\n",
    "    \n",
    " \n",
    "  for c in classes:\n",
    "      C = np.argwhere(y[:,2] == list(classes.values())[c]).flatten()\n",
    "\n",
    "      sub_c[c]=np.random.choice(C,int((C.shape[0]- C.shape[0]*train_size)))\n",
    "\n",
    "  X_test = np.vstack([X[sub_c[0]], X[sub_c[1]], X[sub_c[2]], X[sub_c[3]], X[sub_c[4]]])\n",
    "  y_test = np.vstack([y[sub_c[0]], y[sub_c[1]], y[sub_c[2]], y[sub_c[3]], y[sub_c[4]]])\n",
    "\n",
    "  deletions=[]\n",
    "  for i in range(len(sub_c)):\n",
    "    deletions.extend(sub_c[i].tolist())\n",
    "  \n",
    "  X_train = np.delete(X, deletions, axis=0)\n",
    "  y_train = np.delete(y, deletions, axis=0)\n",
    "\n",
    "  X_train, y_train = shuffle(X_train, y_train, random_state=0)\n",
    "  X_test, y_test = shuffle(X_test, y_test, random_state=0)\n",
    "  y_train= np.array([get_key(y_i,classes) for y_i in y_train[:,2]])\n",
    "  y_test= np.array([get_key(y_i,classes) for y_i in y_test[:,2]])\n",
    "  return X_train,y_train,X_test,y_test\n",
    "\n",
    "  \n",
    "\n",
    "X_train,y_train,X_test,y_test=get_train_test(X=X_resamp,y=y,train_size=.80)\n",
    "print(\"X_train:\", X_train.shape)\n",
    "print(\"y_train:\", y_train.shape)\n",
    "print(\"X_test:\", X_test.shape)\n",
    "print(\"y_test:\", y_test.shape)\n",
    "  "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "WpqwOS4kTGEz"
   },
   "source": [
    "#### Get Train, Validation, and Test Loader "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 0,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 138
    },
    "colab_type": "code",
    "id": "5lJQo3vFTGE0",
    "outputId": "e9af813a-07d7-472a-8833-8eb3d25bea01"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Getting Data... 5% Validation Set\n",
      "\n",
      "Batch Size: 512\n",
      "\n",
      "Train Len= 83834 , Validation Len= 4412 Test Len= 21543\n",
      "\n",
      "Train Size Batched= 163 , Validation Size Batched= 8 , Test Size Batched= 43\n"
     ]
    }
   ],
   "source": [
    "import warnings\n",
    "from torch.utils.data.sampler import WeightedRandomSampler\n",
    "import torch\n",
    "from torch import optim \n",
    "import random\n",
    "import torch.utils.data\n",
    "from torch.utils.data.sampler import SubsetRandomSampler\n",
    "import random\n",
    "from torch.autograd import Variable\n",
    "\n",
    "def imbalanced_loader(X_train,y_train,X_test,y_test,valid_size=.05,batch_size=512): # Split train into train + validation \n",
    "    \"\"\"\n",
    "    Get trainloader, validloader, and testloader for model training. This \n",
    "    creates equal training batches but naturally balanced validation and testing \n",
    "    sets. Note the testing set was previously augmented to get better per class metrics \n",
    "    \n",
    "    Outputs: dataloader + testloader, where dataloader =  {\"train\": trainloader, \"val\": validloader}\n",
    "\n",
    "    \"\"\"\n",
    "    warnings.filterwarnings(\"ignore\") #torch bug\n",
    "    print ('Getting Data... {}% Validation Set\\n'.format(int(np.around(valid_size*100))))\n",
    "    \n",
    "    num_train = len(X_train)\n",
    "    indices = list(range(num_train))\n",
    "    split = int(np.floor(valid_size * num_train))\n",
    "    train_idx, valid_idx = indices[split:], indices[:split]\n",
    "    \n",
    "    print(\"Batch Size:\",batch_size)\n",
    "\n",
    "    print('\\nTrain Len=',len(train_idx),', Validation Len=',len(valid_idx), 'Test Len=',len(y_test))\n",
    "                                                                                        \n",
    "  \n",
    "    class_sample_count = np.array([len(np.where(y_train[[train_idx]]==t)[0]) for t in np.unique(y_train[[train_idx]])])\n",
    "    weight = 1. / class_sample_count\n",
    "    samples_weight = np.array([weight[t] for t in y_train[[train_idx]]])\n",
    "    samples_weight = torch.from_numpy(samples_weight)\n",
    "    train_sampler = WeightedRandomSampler(torch.tensor(samples_weight,dtype=torch.double), len(samples_weight))\n",
    "    trainDataset = torch.utils.data.TensorDataset(torch.FloatTensor(X_train[[train_idx]]), torch.LongTensor(y_train[[train_idx]].astype(int)))\n",
    "    train_sampler= torch.utils.data.BatchSampler(sampler=train_sampler, batch_size=batch_size, drop_last=True)\n",
    "    trainloader = torch.utils.data.DataLoader(dataset = trainDataset, batch_size=batch_size, num_workers=1, sampler= train_sampler)\n",
    "  \n",
    "    \n",
    "    valDataset = torch.utils.data.TensorDataset(torch.FloatTensor(X_train[[valid_idx]]), torch.LongTensor(y_train[[valid_idx]].astype(int)))\n",
    "    sampler = torch.utils.data.RandomSampler(valDataset)\n",
    "    sampler= torch.utils.data.BatchSampler(sampler, batch_size, drop_last=True)\n",
    "    validloader = torch.utils.data.DataLoader(dataset = valDataset, batch_size=batch_size, num_workers=1,sampler=sampler)\n",
    "\n",
    "\n",
    "    testset=[]\n",
    "    for i,x in enumerate(X_test):\n",
    "        testset.append((torch.from_numpy(x),torch.tensor([y_test[i]])))\n",
    "    \n",
    "    #testloader = torch.utils.data.DataLoader(dataset = testDataset, batch_size=batch_size, shuffle=False, num_workers=1) \n",
    "    testloader = torch.utils.data.DataLoader(testset, batch_size=batch_size,\n",
    "                                           shuffle=False, num_workers=1)\n",
    "\n",
    "    print(\"\")\n",
    "    dataloader = {\"train\": trainloader, \"val\": validloader}\n",
    "    print('Train Size Batched=',int(len(dataloader['train'].dataset)/batch_size),', Validation Size Batched=',int(len(dataloader['val'].dataset)/batch_size),', Test Size Batched=',len(testloader))\n",
    "    \n",
    "    \n",
    "    warnings.resetwarnings()\n",
    "    return dataloader,testloader\n",
    "  \n",
    "batch_size=512\n",
    "dataloader,testloader = imbalanced_loader(X_train=X_train,y_train=y_train,X_test=X_test,y_test=y_test, valid_size=.05,batch_size=batch_size)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "J5LKXaRnTGE1"
   },
   "source": [
    "#### Lets see how classes are balanced for training \n",
    "(Testing and Validation sets have natural balance)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 2788
    },
    "colab_type": "code",
    "id": "scF3-58pTGE1",
    "outputId": "aa56889f-4c96-4fb3-b20f-93f0f25e6864"
   },
   "outputs": [],
   "source": [
    "for hb,labels in dataloader['train']:\n",
    "    for hb_index,label in enumerate(labels):\n",
    "        print(hb_index,hb[hb_index].size(),label.cpu().numpy().shape,Counter(label.cpu().numpy().flatten()))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "b_-qk7isTGE2"
   },
   "source": [
    "### Model Architecture "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 0,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 190
    },
    "colab_type": "code",
    "id": "10GLau7CTGE3",
    "outputId": "79d3ef9c-1b27-46ff-abdc-bb7f4a323c9f"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "cuda:0\n",
      "\n",
      "A 1D CNN is very effective when you expect to derive interesting features from shorter \n",
      "(fixed-length) segments of the overall data set and where the location of the feature \n",
      "within the segment is not of high relevance.\n",
      "\n",
      "Model Architecture Init\n",
      "\n",
      "OPTIMIZER = optim.Adam(anom_classifier.parameters(),lr = 0.001) \n",
      " \n"
     ]
    }
   ],
   "source": [
    "import torch.nn as nn\n",
    "import torch.nn.functional as F\n",
    "device = torch.device(\"cuda:0\" if torch.cuda.is_available() else \"cpu\")\n",
    "print(device)\n",
    "\n",
    "print(\"\"\"\\nA 1D CNN is very effective when you expect to derive interesting features from shorter \n",
    "(fixed-length) segments of the overall data set and where the location of the feature \n",
    "within the segment is not of high relevance.\\n\"\"\")\n",
    "\n",
    "class Anomaly_Classifier(nn.Module):\n",
    "    def __init__(self, input_size,num_classes):\n",
    "        super(Anomaly_Classifier, self).__init__()\n",
    "    \n",
    "        self.conv= nn.Conv1d(in_channels=input_size, out_channels=32, kernel_size=5,stride=1)\n",
    "        \n",
    "        self.conv_pad = nn.Conv1d(in_channels=32, out_channels=32, kernel_size=5,stride=1,padding=2)\n",
    "        self.drop_50 = nn.Dropout(p=0.5)\n",
    "\n",
    "        self.maxpool = nn.MaxPool1d(kernel_size=5,stride=2) \n",
    "\n",
    "        self.dense1 = nn.Linear(32 * 8, 32) \n",
    "        self.dense2 = nn.Linear(32, 32) \n",
    "        \n",
    "        self.dense_final = nn.Linear(32, num_classes)\n",
    "        self.softmax= nn.LogSoftmax(dim=1)\n",
    "\n",
    "    def forward(self, x):\n",
    "        residual= self.conv(x)\n",
    "      \n",
    "        #block1 \n",
    "        x = F.relu(self.conv_pad(residual))\n",
    "        x = self.conv_pad(x)\n",
    "        x+= residual \n",
    "        x = F.relu(x)\n",
    "        residual = self.maxpool(x) #[512 32 90]\n",
    "       \n",
    "        #block2\n",
    "        x=F.relu(self.conv_pad(residual))\n",
    "        x=self.conv_pad(x)\n",
    "        x+=residual\n",
    "        x= F.relu(x)\n",
    "        residual = self.maxpool(x) #[512 32 43]\n",
    "        \n",
    "        \n",
    "        #block3\n",
    "        x=F.relu(self.conv_pad(residual))\n",
    "        x=self.conv_pad(x)\n",
    "        x+=residual\n",
    "        x= F.relu(x)\n",
    "        residual = self.maxpool(x) #[512 32 20]\n",
    "        \n",
    "        \n",
    "        #block4\n",
    "        x=F.relu(self.conv_pad(residual))\n",
    "        x=self.conv_pad(x)\n",
    "        x+=residual\n",
    "        x= F.relu(x)\n",
    "        x= self.maxpool(x) #[512 32 8]\n",
    "        \n",
    "        #MLP\n",
    "        x = x.view(-1, 32 * 8) #Reshape (current_dim, 32*2)\n",
    "        x = F.relu(self.dense1(x))\n",
    "        #x = self.drop_60(x)\n",
    "        x= self.dense2(x)\n",
    "        x = self.softmax(self.dense_final(x))\n",
    "        return x\n",
    "      \n",
    "print('Model Architecture Init\\n')\n",
    "\n",
    "print(\"OPTIMIZER = optim.Adam(anom_classifier.parameters(),lr = 0.001) \\n \")\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "xUZ1VfNtTGE4"
   },
   "source": [
    "### Training and Evaluation Functions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 0,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 34
    },
    "colab_type": "code",
    "id": "0Icaxy2DTGE5",
    "outputId": "9b10a0c5-7a3b-4e7c-84f1-dedb8f3a9718"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Functions Ready\n"
     ]
    }
   ],
   "source": [
    "\n",
    "import matplotlib.pyplot as plt \n",
    "import torch.optim as optim\n",
    "import time \n",
    "import sklearn \n",
    "from sklearn.metrics import accuracy_score\n",
    "from sklearn.metrics import classification_report\n",
    "from sklearn.metrics import confusion_matrix\n",
    "import itertools\n",
    "\n",
    "\n",
    "def reset_weights(model):\n",
    "  \"\"\"\n",
    "  model.apply(reset_weights) will reset all the model parameters.\n",
    "  This way the model is not overwhelmed \n",
    "  \n",
    "  \"\"\"\n",
    "  if isinstance(model, nn.Conv1d) or isinstance(model, nn.Linear):\n",
    "      model.reset_parameters()\n",
    "      \n",
    "def calc_accuracy(output,Y):\n",
    "  \n",
    "    # get acc_scores during training \n",
    "    max_vals, max_indices = torch.max(output,1)\n",
    "    train_acc = (max_indices == Y).sum().data.cpu().numpy()/max_indices.size()[0]\n",
    "    return train_acc\n",
    "  \n",
    "def train_model(data_loader, model, criterion,optimizer, n_epochs=100,print_every=10,verbose=True,plot_results=True,validation=True):\n",
    "  \n",
    "  \"\"\"\n",
    "  Model Training Function.\n",
    "  Input:\n",
    "    \n",
    "    Dataloader: {'train':trainloader,'val':validloader} --> If no validation is used set Validation = False & dataloader= {'train':trainloader}\n",
    "    model: model.cuda() if gpu will be used, else cpu\n",
    "    print_every: print every n epochs \n",
    "    verbose: print out results per epoch \n",
    "    plot_results: plot the train and valid loss \n",
    "    validation: is validation set in dataloader\n",
    "  \n",
    "  Output:\n",
    "  \n",
    "    trained classifier \n",
    "  \n",
    "  \"\"\"\n",
    "\n",
    "  losses=[]\n",
    "  start= time.time()\n",
    "  print('Training for {} epochs...\\n'.format(n_epochs))\n",
    "  for epoch in range(n_epochs):\n",
    "      if verbose == True and epoch % print_every== 0:\n",
    "        print('\\n\\nEpoch {}/{}:'.format(epoch+1, n_epochs))\n",
    "        \n",
    "      if validation == True: \n",
    "        evaluation=['train', 'val']\n",
    "      else:\n",
    "        \n",
    "        evaluation=['train']\n",
    "        \n",
    "      # Each epoch has a training and validation phase\n",
    "      for phase in evaluation:\n",
    "          if phase == 'train': \n",
    "              model.train(True)  # Set model to training mode\n",
    "          else:\n",
    "              model.train(False)  # Set model to evaluate mode\n",
    "\n",
    "          running_loss = 0.0\n",
    "\n",
    "          # Iterate over data.\n",
    "          for hb,labels in data_loader[phase]:\n",
    "            for hb_index,label in enumerate(labels):\n",
    "#                 print(hb[hb_index].size(),label.cpu().numpy().shape,Counter(label.cpu().numpy().flatten()))\n",
    "                HB, label = hb[hb_index].unsqueeze(1).cuda(), label.cuda()\n",
    "\n",
    "                # forward + backward + optimize\n",
    "                outputs = model(HB)\n",
    "                acc= calc_accuracy(outputs,label)\n",
    "                loss = criterion(outputs, label)#loss function \n",
    "                # zero the parameter (weight) gradients\n",
    "                optimizer.zero_grad()\n",
    "\n",
    "                # backward + optimize only if in training phase\n",
    "                if phase == 'train':\n",
    "                    loss.backward()\n",
    "                    # update the weights\n",
    "                    optimizer.step()\n",
    "\n",
    "                # print loss statistics\n",
    "                running_loss += loss.item()\n",
    "\n",
    "            losses.append(running_loss) \n",
    "\n",
    "          if verbose == True and epoch % print_every== 0: \n",
    "            print('{} loss: {:.4f} | acc: {:.4f}|'.format(phase, running_loss,acc), end=' ')\n",
    "  if verbose == True:        \n",
    "    print('\\nFinished Training  | Time:{}'.format(time.time()-start))\n",
    "  if plot_results == True:\n",
    "    plt.figure(figsize=(10,10))\n",
    "    plt.plot(losses[0::2],label='train_loss')\n",
    "    if validation == True:\n",
    "      plt.plot(losses[1::2],label='validation_loss')\n",
    "    plt.legend()\n",
    "    plt.xlabel('Epoch')\n",
    "    plt.ylabel('Loss')\n",
    "    plt.draw()\n",
    "  \n",
    "  return model \n",
    "\n",
    "\n",
    "\n",
    "def evaluate(testloader, trained_model,verbose= True):\n",
    "  \"\"\"\n",
    "  Evaluation Metric Platfrom. Feed in the trained model \n",
    "  and test loader data. \n",
    "  \n",
    "  Returns classification metric along with \n",
    "  predictions,truths\n",
    "  \n",
    "  \"\"\"\n",
    "  \n",
    "  truth=[]\n",
    "  preds=[]\n",
    "  for hb,label in testloader:\n",
    "      HB, label = hb.float().unsqueeze(1).cuda(), label.cuda()\n",
    "      outputs = trained_model(HB)\n",
    "      _, predicted = torch.max(outputs, 1)\n",
    "      preds.append(predicted.cpu().numpy().tolist())\n",
    "      truth.append(label.cpu().numpy().tolist())\n",
    "  \n",
    "  preds_flat = [item for sublist in preds for item in sublist]\n",
    "  truth_flat = [item for sublist in truth for item in sublist] \n",
    " \n",
    "\n",
    "  if verbose == True:\n",
    "    print('\\nEvaluating....')\n",
    "    print(\"TEST ACC:\",accuracy_score(truth_flat,preds_flat))\n",
    "    print(classification_report(truth_flat,preds_flat))\n",
    "  \n",
    "  return preds_flat,truth_flat\n",
    "\n",
    "\n",
    "\n",
    "def plot_confusion_matrix(cm, classes,\n",
    "                          normalize=False,\n",
    "                          title='Confusion matrix',\n",
    "                          cmap=plt.cm.Blues):\n",
    "    \"\"\"\n",
    "    This function prints and plots the confusion matrix.\n",
    "    Normalization can be applied by setting `normalize=True`.\n",
    "    \"\"\"\n",
    "    if normalize:\n",
    "        cm = cm.astype('float') / cm.sum(axis=1)[:, np.newaxis]\n",
    "        print(\"Normalized confusion matrix\")\n",
    "    else:\n",
    "        print('Confusion matrix, without normalization')\n",
    "    \n",
    "    plt.figure(figsize=(10,10))\n",
    "    plt.imshow(cm, interpolation='nearest', cmap=cmap)\n",
    "    plt.title(title)\n",
    "    plt.colorbar()\n",
    "    tick_marks = np.arange(len(classes))\n",
    "    plt.xticks(tick_marks, classes, rotation=45)\n",
    "    plt.yticks(tick_marks, classes)\n",
    "\n",
    "    fmt = '.2f' if normalize else 'd'\n",
    "    thresh = cm.max() / 2.\n",
    "    for i, j in itertools.product(range(cm.shape[0]), range(cm.shape[1])):\n",
    "        plt.text(j, i, format(cm[i, j], fmt),\n",
    "                 horizontalalignment=\"center\",\n",
    "                 color=\"white\" if cm[i, j] > thresh else \"black\")\n",
    "\n",
    "    plt.tight_layout()\n",
    "    plt.ylabel('True label')\n",
    "    plt.xlabel('Predicted label')\n",
    "    \n",
    "    \n",
    "    \n",
    "def get_kernel_size(n_h,k_h,n_w,k_w,p_h=0,s_h=1,p_w=0,s_w=1):\n",
    "    \"\"\"\n",
    "    Kernel Measuring Function \n",
    "    \"\"\"\n",
    "    return [int((n_h-k_h+p_h+s_h)/s_h),int((n_w-k_w+p_w+s_w)/s_w)]    \n",
    "    \n",
    "    \n",
    "def variation(n_epochs,num_iters=5):\n",
    "  p=[]\n",
    "  t=[]\n",
    "  accuracy_scores=[]\n",
    "  for i in range(num_iters):\n",
    "    print('\\nModel {}/{}...\\n'.format(i+1,num_iters))\n",
    "    Anomaly_Classifier(input_size=1,num_classes= 5).cuda().apply(reset_weights)\n",
    "    print('Weights Reset')\n",
    "    anom_classifier= Anomaly_Classifier(input_size=1,num_classes= 8).cuda()\n",
    "    criterion = nn.NLLLoss()\n",
    "    optimizer = optim.Adam(anom_classifier.parameters(),lr = 0.001) \n",
    "    trained_classifier= train_model(data_loader=dataloader, model=anom_classifier,\n",
    "                                    criterion = criterion,optimizer = optimizer ,\n",
    "                                    n_epochs=n_epochs,print_every=1,verbose=False,plot_results=False, \n",
    "                                    validation=True)\n",
    "    \n",
    "    preds,truth = evaluate(testloader=testloader, trained_model = trained_classifier,verbose=False)\n",
    "    t.append(truth)\n",
    "    p.append(preds)\n",
    "    print(accuracy_score(truth,preds))\n",
    "    accuracy_scores.append(accuracy_score(truth,preds))\n",
    "  return p,t,accuracy_scores\n",
    "print('Functions Ready')\n",
    "    "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "OG3wvB2Wg2ab"
   },
   "source": [
    "## Training "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 0,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 1476
    },
    "colab_type": "code",
    "id": "SLNf3sGRTGE7",
    "outputId": "7c34e946-f2e6-403e-8519-201d3b570f3a"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Weights Reset\n",
      "Training for 100 epochs...\n",
      "\n",
      "\n",
      "\n",
      "Epoch 1/100:\n",
      "train loss: 151.7375 | acc: 0.8125| val loss: 6.5242 | acc: 0.6504| \n",
      "\n",
      "Epoch 11/100:\n",
      "train loss: 22.2183 | acc: 0.9707| val loss: 1.4895 | acc: 0.9453| \n",
      "\n",
      "Epoch 21/100:\n",
      "train loss: 13.6798 | acc: 0.9297| val loss: 1.1093 | acc: 0.9609| \n",
      "\n",
      "Epoch 31/100:\n",
      "train loss: 8.8655 | acc: 0.9844| val loss: 0.7679 | acc: 0.9688| \n",
      "\n",
      "Epoch 41/100:\n",
      "train loss: 7.5931 | acc: 0.9883| val loss: 0.8825 | acc: 0.9746| \n",
      "\n",
      "Epoch 51/100:\n",
      "train loss: 6.1625 | acc: 0.9922| val loss: 0.8970 | acc: 0.9727| \n",
      "\n",
      "Epoch 61/100:\n",
      "train loss: 5.0410 | acc: 0.9922| val loss: 0.9090 | acc: 0.9727| \n",
      "\n",
      "Epoch 71/100:\n",
      "train loss: 3.7847 | acc: 0.9961| val loss: 0.6885 | acc: 0.9805| \n",
      "\n",
      "Epoch 81/100:\n",
      "train loss: 4.2471 | acc: 0.9922| val loss: 0.7987 | acc: 0.9863| \n",
      "\n",
      "Epoch 91/100:\n",
      "train loss: 3.6588 | acc: 0.9941| val loss: 0.5975 | acc: 0.9863| \n",
      "Finished Training  | Time:519.1606805324554\n",
      "\n",
      "Evaluating....\n",
      "TEST ACC: 0.9831499791115443\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0       1.00      0.99      0.99     17939\n",
      "           1       0.82      0.90      0.85       477\n",
      "           2       0.90      0.98      0.94      1365\n",
      "           3       0.76      0.87      0.81       157\n",
      "           4       0.99      0.99      0.99      1605\n",
      "\n",
      "   micro avg       0.98      0.98      0.98     21543\n",
      "   macro avg       0.89      0.94      0.92     21543\n",
      "weighted avg       0.98      0.98      0.98     21543\n",
      "\n"
     ]
    },
    {
     "data": {
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Es274GaUBAAASiHDWjc7OWZBRGgAAIAEIZ93oOluTURoAACABCGfdYJQGAABIJMJZN3yM\n0gAAAAlEOOuGn1EaAAAggQhn3ejaEMCyJgAASADCWTc6R2mwrAkAABKBcNYNRmkAAIBEIpx1g1Ea\nAAAgkQhn3fjsbE06ZwAAwHmEs258tiGAzhkAAHAe4awbbAgAAACJRDjrBhsCAABAIhHOutF1QgDL\nmgAAIAEIZ90wxsjnMXTOAABAQhDOouD1GIXonAEAgAQgnEXB7/WwIQAAACQE4SwKPq/hbE0AAJAQ\nhLMo+Dx0zgAAQGIQzqLg97IhAAAAJAbhLAody5p0zgAAgPMIZ1HwezwK0DkDAAAJQDiLAqM0AABA\nohDOouBjlAYAAEgQwlkU/IzSAAAACUI4i0LH8U10zgAAgPMIZ1HoWNakcwYAAJxHOIuCn1EaAAAg\nQQhnUfB5PAyhBQAACUE4i4LPQ+cMAAAkBuEsCj4vGwIAAEBiEM6i4PN6FGCUBgAASADCWRT8jNIA\nAAAJQjiLgs/LhgAAAJAYhLMo+L1GATYEAACABCCcRYFRGgAAIFEIZ1HwMkoDAAAkCOEsCn5GaQAA\ngAQhnEXB5/UoyCgNAACQAISzKPg9RoGQlbV0zwAAgLMIZ1HweTv+TCGuOwMAAA4jnEXB5zWSxKYA\nAADgOMJZFPyejj9TgHEaAADAYYSzKHg9HZ0zljUBAIDTCGdR8EeWNQOM0wAAAA4jnEWhc0MA4zQA\nAIDTCGdR8EWWNRlECwAAnEY4i4Lfy4YAAACQGISzKDBKAwAAJArhLAo+RmkAAIAEIZxFwccoDQAA\nkCCOhTNjzBPGmIPGmHVH3PdvxpiNxpi1xpgXjTHZRzz2T8aYrcaYTcaYrzlVV0/4GKUBAAASxMnO\n2a8lzfnCfW9KmmCtPV3SZkn/JEnGmHGSrpI0PvKah40xXgdri0nnhoAgy5oAAMBhjoUza+1ySTVf\nuO9P1tpg5OYKScWRn+dJ+q21ts1au0PSVknTnaotVl2jNFjWBAAADnPzmrNvSXot8nORpIojHquM\n3Ncn+BilAQAAEsSVcGaM+ZGkoKRne/Dam40x5caY8qqqqvgXdwydxzcxhBYAADgt4eHMGLNQ0lxJ\nV1trO9POHkklRzytOHLfUay1j1pry6y1Zfn5+Y7W2qlzlAbHNwEAAKclNJwZY+ZI+kdJl1hrm494\n6GVJVxljko0xpZJGSvowkbUdD0NoAQBAovicemNjzHOSzpGUZ4yplPRjdezOTJb0pjFGklZYa79t\nrf3UGPO8pPXqWO681Vobcqq2WHG2JgAASBTHwpm19pvHuPvx4zz/J5J+4lQ9vcHZmgAAIFE4ISAK\nLGsCAIBEIZxFoWtDAJ0zAADgMMJZFPwc3wQAABKEcBaFziG0jNIAAABOI5xFgeObAABAohDOosAo\nDQAAkCiEsyh4u8IZy5oAAMBZhLMoGGPk9xoFWNYEAAAOI5xFyefx0DkDAACOI5xFyec1jNIAAACO\nI5xFye/1MEoDAAA4jnAWJa/HKMQ1ZwAAwGGEsyj5PSxrAgAA5xHOouTzsiEAAAA4j3AWJR+jNAAA\nQAIQzqLkZ5QGAABIAMJZlHxew/FNAADAcYSzKPm8HpY1AQCA4whnUfJ5jELMOQMAAA4jnEXJxygN\nAACQAISzKPkZpQEAABKAcBYln9coyDVnAADAYYSzKPk8HpY1AQCA4whnUfJ7DcuaAADAcYSzKPm8\nHpY1AQCA4whnUfJ5jIKM0gAAAA4jnEXJ5+GEAAAA4DzCWZR8XjYEAAAA5xHOouT3sqwJAACcRziL\nks/jYVkTAAA4jnAWJb/XKMAoDQAA4DDCWZQ4IQAAACQC4SxKXo9HobCVtQQ0AADgHMJZlPweI0l0\nzwAAgKMIZ1HyeTv+VGwKAAAATiKcRcnv7eicBRinAQAAHEQ4i5Kvc1mTzhkAAHAQ4SxKny1r0jkD\nAADOIZxF6bNlTTpnAADAOYSzKHk9HX+qEMuaAADAQYSzKLEhAAAAJALhLEo+D6M0AACA8whnUfJ1\nds7YEAAAABxEOItS57ImJwQAAAAnEc6i9NmyJp0zAADgHMJZlD5b1qRzBgAAnEM4i1Jn5yzEsiYA\nAHAQ4SxKPkZpAACABCCcRcnPKA0AAJAAhLModXbO2BAAAACcRDiLEmdrAgCARCCcRYlRGgAAIBEI\nZ1H6bFmTzhkAAHAO4SxKXZ0zljUBAICDCGdR6uqcMUoDAAA4iHAWpc5RGpwQAAAAnEQ4ixKjNAAA\nQCI4Fs6MMU8YYw4aY9YdcV+uMeZNY8yWyPecyP3GGPOgMWarMWatMWaKU3X11GfLmnTOAACAc5zs\nnP1a0pwv3HeXpKXW2pGSlkZuS9KFkkZGvm6WtMjBunrks2VNOmcAAMA5joUza+1ySTVfuHuepKci\nPz8l6dIj7n/adlghKdsYM8Sp2nrC4zHyGEZpAAAAZyX6mrMCa+2+yM/7JRVEfi6SVHHE8yoj9x3F\nGHOzMabcGFNeVVXlXKXH4PN4WNYEAACOcm1DgLXWSoo56VhrH7XWlllry/Lz8x2o7Mv5vIYNAQAA\nwFGJDmcHOpcrI98PRu7fI6nkiOcVR+7rU3weQ+cMAAA4KtHh7GVJ10d+vl7SS0fcf11k1+YZkg4f\nsfzZZ/i9HjYEAAAAR/mcemNjzHOSzpGUZ4yplPRjST+T9Lwx5kZJuyQtiDz9VUkXSdoqqVnSDU7V\n1Rsdy5p0zgAAgHMcC2fW2m9+yUOzj/FcK+lWp2qJF5/HowDHNwEAAAdxQkAM/HTOAACAwwhnMfB6\njEJsCAAAAA4inMWADQEAAMBphLMY+LyM0gAAAM4inMXA56FzBgAAnEU4iwEbAgAAgNMIZzHoOFuT\nzhkAAHAO4SwGPq9RgM4ZAABwEOEsBh1na9I5AwAAziGcxcDn9XDNGQAAcBThLAZ+RmkAAACHEc5i\n4PN4FGSUBgAAcBDhLAZsCAAAAE4jnMXAzygNAADgMMJZDLwMoQUAAA4jnMXA7zEc3wQAABxFOIuB\nz+tRiN2aAADAQYSzGPi8RgHCGQAAcBDhLAZ+RmkAAACHEc5i4PMaha0UpnsGAAAcQjiLgd/b8ecK\nME4DAAA4hHAWA6/HSBLjNAAAgGMIZzHwEc4AAIDDCGcx6FzW5JQAAADgFMJZDHzeSOeMDQEAAMAh\nhLMY+D2RDQGM0wAAAA4hnMWgq3PGNWcAAMAhhLMY+LjmDAAAOIxwFoPO3ZoBOmcAAMAhhLMYMEoD\nAAA4jXAWA0ZpAAAApxHOYsAoDQAA4DTCWQx8jNIAAAAOI5zFwM8oDQAA4DDCWQwYpQEAAJxGOIsB\nozQAAIDTCGcx4IQAAADgNMJZDDo3BLCsCQAAnEI4iwEbAgAAgNMIZzFgQwAAAHAa4SwGfjYEAAAA\nhxHOYtDVOWMILQAAcAjhLAZeD8c3AQAAZxHOYtC5IYBlTQAA4BTCWQw6R2mE2BAAAAAcQjiLAZ0z\nAADgNMJZDIwx8noMozQAAIBjCGcx8nkMQ2gBAIBjCGcx8ns9LGsCAADHEM5ixLImAABwEuEsRn6v\noXMGAAAcQziLkc/jYZQGAABwDOEsRj4vGwIAAIBzCGcx8ns9CnB8EwAAcAjhLEYdozRY1gQAAM4g\nnMXIxygNAADgIFfCmTHme8aYT40x64wxzxljUowxpcaYlcaYrcaY3xljktyorTs+RmkAAAAHJTyc\nGWOKJN0uqcxaO0GSV9JVkn4u6QFr7QhJtZJuTHRt0WBDAAAAcJJby5o+SanGGJ+kNEn7JJ0naXHk\n8ackXepSbcfl93jonAEAAMckPJxZa/dIuk/SbnWEssOSVkmqs9YGI0+rlFR0rNcbY242xpQbY8qr\nqqoSUfLn0DkDAABOcmNZM0fSPEmlkgolpUuaE+3rrbWPWmvLrLVl+fn5DlX55XyM0gAAAA5yY1nz\nfEk7rLVV1tqApN9LmikpO7LMKUnFkva4UFu3/IzSAAAADnIjnO2WdIYxJs0YYyTNlrRe0jJJV0Se\nc72kl1yorVssawIAACe5cc3ZSnVc+L9a0l8jNTwq6YeS/t4Ys1XSQEmPJ7q2aPg8HgXYEAAAABzi\n6/4pkjFmuKRKa22bMeYcSadLetpaW9eTD7XW/ljSj79w93ZJ03vyfolE5wwAADgp2s7ZEkkhY8wI\ndXS5SiT9xrGq+jCfx6MQGwIAAIBDog1n4ciYi8sk/ae19geShjhXVt/l9xoF2BAAAAAcEm04Cxhj\nvqmOC/Vfidznd6akvs3nNQrSOQMAAA6JNpzdIOlMST+x1u4wxpRKesa5svoun8dD5wwAADgmqg0B\n1tr16jgPs3OIbIa19udOFtZX+dkQAAAAHBRV58wY87YxJtMYk6uOERiPGWPud7a0vsnL2ZoAAMBB\n0S5rZllr6yVdro4RGjPUMen/pNOxIcDKWrpnAAAg/qINZz5jzBBJC/TZhoCTks/T8SdjTwAAAHBC\ntOHsHklvSNpmrf3IGHOqpC3OldV3+bxGktgUAAAAHBHthoAXJL1wxO3tkr7hVFF9mT8SzhinAQAA\nnBDthoBiY8yLxpiDka8lxphip4vrizqXNYN0zgAAgAOiXdZ8UtLLkgojX/8Tue+k4+9a1qRzBgAA\n4i/acJZvrX3SWhuMfP1aUr6DdfVZ3s7OGeM0AACAA6INZ9XGmGuMMd7I1zWSqp0srK/q3BDAIFoA\nAOCEaMPZt9QxRmO/pH2SrpC00KGa+jQ2BAAAACdFFc6stbustZdYa/OttYOstZfqJN2tyYYAAADg\npGg7Z8fy93Groh9hQwAAAHBSb8KZiVsV/YiPDQEAAMBBvQlnJ2XryEfnDAAAOOi4JwQYYxp07BBm\nJKU6UlEfxzVnAADASccNZ9bajEQV0l/42K0JAAAc1JtlzZMSozQAAICTCGcxYlkTAAA4iXAWIzYE\nAAAAJxHOYuT3MkoDAAA4h3AWI5+HszUBAIBzCGcx6rzmLMA1ZwAAwAGEsxgxSgMAADiJcBYjwhkA\nAHAS4SxG/s5lzSDLmgAAIP4IZzFKT+44VKGxLehyJQAA4EREOItRks+jjGSfapra3S4FAACcgAhn\nPZA7IEm1zYQzAAAQf4SzHshJS6JzBgAAHEE464HcdMIZAABwBuGsB3LSklRLOAMAAA4gnPVAbrpf\nNVxzBgAAHEA464Gc9CS1BsJqaQ+5XQoAADjBEM56YGB6kiTRPQMAAHFHOOuBnLSOcMZ1ZwAAIN4I\nZz2QG+mcVRPOAABAnBHOeiAnnc4ZAABwBuGsB3Ijy5rMOgMAAPFGOOuBrFS/PEYc4QQAAOKOcNYD\nHo/hCCcAAOAIwlkP5aRz+DkAAIg/wlkP5aYlqbqRcAYAAOKLcNZDOel+OmcAACDuCGc9lJuepJqm\ngNtlAACAEwzhrIdy0jquObPWul0KAAA4gRDOeig3PUmhsFV9a9DtUgAAwAmEcNZDuZwSAAAAHEA4\n66EcztcEAAAOIJz1UOcRTnTOAABAPBHOeqhzWbOGcRoAACCOCGc9lMM1ZwAAwAGuhDNjTLYxZrEx\nZqMxZoMx5kxjTK4x5k1jzJbI9xw3aotWepJXST4PnTMAABBXbnXOfiHpdWvtGEkTJW2QdJekpdba\nkZKWRm73WcYY5aYl0TkDAABxlfBwZozJknSWpMclyVrbbq2tkzRP0lORpz0l6dJE1xarnPQk1RDO\nAABAHLnROSuVVCXpSWPMx8aYXxlj0iUVWGv3RZ6zX1KBC7XFJDfdTzgDAABx5UY480maImmRtXay\npCZ9YQnTdpyJdMxzkYwxNxtjyo0x5VVVVY4XezwdRzhxviYAAIgfN8JZpaRKa+3KyO3F6ghrB4wx\nQyQp8v3gsV5srX3UWltmrS3Lz89PSMFfJpdlTQAAEGcJD2fW2v2SKowxoyN3zZa0XtLLkq6P3He9\npJcSXVusctOTdLgloGAo7HYpAADgBOFz6XO/K+lZY0ySpO2SblBHUHzeGHOjpF2SFrhUW9Q6B9HW\ntQSUNyDZ5WoAAMCJwJVwZq1dI6nsGA/NTnQtvZFzxBFOhDMAABAPnBDQC7kcfg4AAOKMcNYLORx+\nDgAA4oxw1gscfg4AAOKNcNYLOel+SXTOAABA/BDOeiHZ59WAZJ9qmhhECwAA4oNw1ks56X7VsqwJ\nAADihHDWS7lpSezWBAAAcUM466Wc9CSuOQMAAHFDOOul3DTO1wQAAPFDOOul3PQkrjkDAABxQzjr\npZz0JDW3h9QaCLldCgAAOAHyVFs2AAAgAElEQVQQznqpcxAt3TMAABAPhLNe6jzCqbqRcAYAAHqP\ncNZLdM4AAEA8Ec56qet8TXZsAgCAOCCc9VJX54xwBgAA4oBw1ktZqX4ZI9U0c74mAADoPcJZL3k9\nRtmpfjpnAAAgLghncZCTzikBAAAgPghnccARTgAAIF4IZ3HAEU4AACBeCGdxkMuyJgAAiBPCWRzk\nRDpn1lq3SwEAAP0c4SwOctOSFAhZNbYF3S4FAAD0c4SzOMjhlAAAABAnhLM4yE33SyKcAQCA3iOc\nxUFuerIkDj8HAAC9RziLg9y0zmVNjnACAAC9QziLg5zIsiZHOAEAgN4inMXBgGSf/F6jQ01tbpcC\nAAD6OcJZHBhjVJKbph1VTW6XAgAA+jnCWZyML8zSp3vr3S4DAAD0c4SzOBk3JFN76lp0uJlNAQAA\noOcIZ3EyvjBTkvTpvsMuVwIAAPozwlmcjIuEs/UsbQIAgF4gnMVJ3oBkFWQmE84AAECvEM7iaNyQ\nTDYFAACAXiGcxdH4wixtrWpUayDkdikAAKCfIpzF0bjCTIXCVpsPNLhdCgAA6KcIZ3E0nk0BAACg\nlwhncVSSk6YByT6uOwMAAD1GOIsjj8do3JBMrd9HOAMAAD1DOIuzcYWZ2rCvXqGwdbsUAADQDxHO\n4mxcYaaa20PaVc0h6AAAIHaEszgbNyRyjBPXnQEAgB4gnMXZqIIM+b2G684AAECPEM7iLMnn0YhB\nGXTOAABAjxDOHDC+MJNZZwAAoEcIZw4YNyRThxrbdLC+1e1SAABAP0M4c0DnSQGfct0ZAACIEeHM\nAWM5xgkAAPQQ4cwBmSl+Dc1NI5wBAICYEc4cMm5Ipj7de9jtMgAAQD9DOHPI+MJM7axuVmNb0O1S\nAABAP0I4c8i4yHVnG9gUAAAAYkA4c8j4wixJbAoAAACxIZw5pCAzWbnpSfrrHq47AwAA0XMtnBlj\nvMaYj40xr0RulxpjVhpjthpjfmeMSXKrtngwxujM4QO1dMMBtQVDbpcDAAD6CTc7Z3dI2nDE7Z9L\nesBaO0JSraQbXakqjuZPLVZtc0BLNxx0uxQAANBPuBLOjDHFki6W9KvIbSPpPEmLI095StKlbtQW\nT7NG5mtwZoqeL69wuxQAANBPuNU5+w9J/ygpHLk9UFKdtbZz7kSlpKJjvdAYc7MxptwYU15VVeV8\npb3g9RhdMbVYyzdXad/hFrfLAQAA/UDCw5kxZq6kg9baVT15vbX2UWttmbW2LD8/P87Vxd8VU4sV\nttLvV+9xuxQAANAPuNE5mynpEmPMTkm/Vcdy5i8kZRtjfJHnFEs6IdLMsLx0zSjN1QvlFbLWul0O\nAADo4xIezqy1/2StLbbWDpN0laQ/W2uvlrRM0hWRp10v6aVE1+aUBWUl2lndrI921rpdCgAA6OP6\n0pyzH0r6e2PMVnVcg/a4y/XEzYWnDdaAZB8bAwAAQLdcDWfW2rettXMjP2+31k631o6w1s631ra5\nWVs8pSX59PWJQ/THtfs4axMAABxXX+qcndDml5WoJRDSH9fudbsUAADQhxHOEmRySbZGDBqg58sr\n3S4FAAD0YYSzBDHGaP7UYq3aVautBxvdLgcAAPRRhLMEumxKkbweoxdWsTEAAAAcG+EsgQZlpOic\nUfl65ZN9zDwDAADHRDhLsHPHDNKeuhbtONTkdikAAKAPIpwl2NmjOo6cWr65b58LCgAA3EE4S7CS\n3DQNG5imd7YccrsUAADQBxHOXHDWqHx9sL1a7cGw26UAAIA+hnDmglkj89XcHtKqXZy1CQAAPo9w\n5oIzhw+Uz2O0fAvXnQEAgM8jnLlgQLJPU07J0TuEMwAA8AWEM5ecPSpf6/bU61DjCXO+OwAAiAPC\nmUtmjcyTJL23lV2bAADgM4Qzl0wozFJOml9/Yd4ZAAA4AuHMJR6P0VdH5uudLYc4ygkAAHQhnLno\nrJF5qmpo08b9DW6XAgAA+gjCmYtmjeQoJwAA8HmEMxcNzkrRqIIBHOUEAAC6EM5cdtbIfH24s0Yt\n7SG3SwEAAH0A4cxls0blqz0Y1sod1W6XAgAA+gDCmctmlOYqyefR8s0sbQIAAMKZ61L8Xs0ozdXb\nmw4qHGakBgAAJzvCWR9w+ZQibT/UpMWrK90uBQAAuIxw1gfMm1ikqafk6OevbdTh5oDb5QAAABcR\nzvoAj8fonnnjVdvcrn9/c5Pb5QAAABcRzvqI8YVZuuaMU/TfK3bp072H3S4HAAC4hHDWh/zD34xW\nTlqS/uWlT9kcAADASYpw1odkpfn1wwvHaNWuWi1hcwAAACclwlkfc8WUYk0emq2fvbZRh1vYHAAA\nwMmGcNbHeDxG/3feBNU2t+v+P7E5AACAkw3hrA+aUNSxOeCpD3ZpwSMf6K31B7gGDQCAk4TP7QJw\nbD+6eKyGDUzX4+/u0E1Pl2vkoAG6+axTNW9SkZJ8ZGoAAE5Uxtr+25EpKyuz5eXlbpfhqEAorD+u\n3adH/rJNG/c3qCg7VS98+0wVZqe6XRoAAIiBMWaVtbasu+fRgunj/F6PLp1cpNfumKUnF05TVWOb\n7nuDa9EAADhREc76CWOMzh0zSN+aWarff7xH6/YwqBYAgBMR4ayf+c65w5WbnqR7/7he/XlJGgAA\nHBvhrJ/JTPHrzvNHasX2Gi3dcNDtcgAAQJwRzvqhb04fqlPz0/XT1zYoEAq7XQ4AAIgjwlk/5Pd6\n9E8XjtX2qib99sPdbpcDAADiiHDWT50/dpBmlObqgbe2qL6VY54AADhREM76KWOMfnTxWNU0tWvR\n29vcLgcAAMQJ4awfO704W5dNLtLj7+7Q2so6t8sBAABxQDjr537wtdHKSfPr8off1y/e2sIGAQAA\n+jnCWT9XmJ2qN+48SxefPkQPvLVZlz/8vjYfaHC7LAAA0EOEsxNAdlqSfnHVZC26eor21LVo7oPv\n6pd/2aZQmCG1AAD0N4SzE8iFpw3Rn753ls4Zna//77WNumvJWk4RAACgnyGcnWDyBiTrl9dO1e3n\njdALqyr1wJub3S4JAADEwOd2AYg/Y4y+9zejtL++VQ/+easKslJ09YxT3C4LAABEgXB2gjLG6CeX\nnaaqhjb98x/WqSAjReePK3C7LAAA0A2WNU9gfq9HD109RacVZem251Zr9e5at0sCAADdIJyd4NKS\nfHp84TQVZKboxl9/pK0HGbMBAEBfRjg7CeQNSNZTN0yX12N02cPva9nGg26XBAAAvgTh7CQxLC9d\nL35npkpy0vStpz7Sf/15i8LMQQMAoM8hnJ1ESnLTtOSWr2jexELd96fNuuXZVWpsCx71vEAozHw0\nAABcwm7Nk0xqklcPXDlJpxVn66evbtClD72nb04fqt3VTdpR3aydh5q0p65Fpxdn6bm/PUMpfq/b\nJQMAcFJJeOfMGFNijFlmjFlvjPnUGHNH5P5cY8ybxpgtke85ia7tZGGM0Y1fLdUzN05XTVO7/u8r\n67Vk9R7VNLXp9OIsXTNjqD7eXad7/7je7VIBADjpuNE5C0r6B2vtamNMhqRVxpg3JS2UtNRa+zNj\nzF2S7pL0QxfqO2l8ZXie3vvheWpsCypvQJKMMV2PJfu9enT5ds0cnqcLTxviYpUAAJxcEt45s9bu\ns9aujvzcIGmDpCJJ8yQ9FXnaU5IuTXRtJ6PUJK/yM5I/F8wk6fsXjNbE4iz9cMlaVdY2u1QdAAAn\nH1c3BBhjhkmaLGmlpAJr7b7IQ/slMc7eRUk+j/7zm1NkrXT7cx8rEAq7XRIAACcF18KZMWaApCWS\n7rTW1h/5mO3YKnjM7YLGmJuNMeXGmPKqqqoEVHryGjowTT+9/DSt3l2n/3iLA9QBAEgEV8KZMcav\njmD2rLX295G7DxhjhkQeHyLpmJNSrbWPWmvLrLVl+fn5iSn4JPb1iYW6alqJHn57m97dcsjtcgAA\nOOG5sVvTSHpc0gZr7f1HPPSypOsjP18v6aVE14Zj+/HXx2t4/gD93TPluv/NzapvDbhdEgAAJyw3\nOmczJV0r6TxjzJrI10WSfibpb4wxWySdH7mNPiA1yasnF07TWaPy9eDSLZr182V6+O2tam4/eoAt\nAADoHdOfJ8GXlZXZ8vJyt8s4qazbc1j//qdNWrapSnkDkvTd80bqmjNOkddjun8xAAAnMWPMKmtt\nWXfP4/gmxGRCUZaevGG6ltxypkYOytCPX/5U1/xqpfYfbnW7NAAATgiEM/TI1FNy9Zu/naH/943T\ntaaiThf+Yrn+9Ol+t8sCAKDfI5yhx4wxWjCtRK/c/lUV5aTq5mdW6Z//sE6tgZDbpQEA0G8RztBr\nw/MHaMktX9HfzirVMyt26ev/+a7eWn9A/fl6RgAA3EI4Q1wk+7z60cXj9NS3pqs1GNJNT5fr4gff\n1Wt/3adwmJAGAEC0CGeIq7NH5evP/3CO7ps/Ua2BkG55drXm/GK5XlqzR+1BjoACAKA7jNKAY0Jh\nq1fW7tVDy7Zq84FG5aT5dcnEQl02pVgTi7OOOmwdAIATWbSjNAhncFw4bPWXzVVasrpSf1p/QO3B\nsE7NT9flk4t03VeGKTPF73aJAAA4jnCGPqm+NaDX/rpPS1bv0Yc7ajShKFPPfGuGctKT3C4NAABH\nMYQWfVJmil9XThuq5//uTD25cJo2H2jUNx9boUONbW6XBgBAn0A4g2vOHTNIj19fpp3VTfrmoyt0\nsJ5TBgAAIJzBVbNG5uvJhdO1p65FVz66QvsOt7hdEgAAriKcwXVnDh+op781XVUNbVrwyw/0ytq9\n+mhnjXZVN6m5Peh2eQAAJBQbAtBnrKmo0/VPfKjDLYHP3Z+e5NWowRmaNTJfZ43M06SSbPm8/HcF\nAKB/Ybcm+qWmtqB21zSrqqFNVQ1tOtjQpgP1rVpTUae1lXUKWykj2aczhw/U2aPzNXtMgQZnpbhd\nNgAA3Yo2nPkSUQwQrfRkn8YOydTYIUc/drg5oPe3HdLyLYe0fHOV/rT+gH6kdTq9OEvnjy3Q+WML\nNHZIBsNtAQD9Gp0z9EvWWm092Kg3NxzQW+sP6OOKOlkrjRw0QPfNn6iJJdlulwgAwOewrImTSlVD\nm5ZuOKBfLN2igw1tuv28kbr13OFcmwYA6DMYQouTSn5Gsq6aPlSv33mWLplYqAfe2qxvPPKBtlc1\nul0aAAAxoXOGE9Ira/fqRy+uU1swpO+eN1LjhmQqPyNZeQOSNXBAkvx01AAACcaGAJzU5p5eqGnD\ncvWDxWv1b29sOurxzBSf/F6PjDHyGMljjFKTvLr5rFN11bQSNhUAAFxD5wwnNGut9tS16GBkNMeh\nxo7vtU3tClmrsO14TjgsbTnYoNW763TWqHz97PLTVJid6nb5AIATCJ0zQJIxRsU5aSrOSev2ueGw\n1bMrd+mnr27U1x5Yrn+eO07zy4rpogEAEooLb4AIj8fo2jOH6Y07z9K4wkz945K1uuHXH2nVrhqF\nwv23wwwA6F9Y1gSOIRy2evqDnfr565vUEggpb0CSZo8p0AXjCzRzRJ5S/F63SwQA9DPMOQPi4HBL\nQG9vOqg31x/Q25uq1NgWVKrfq+GD0jUoI0WDMpI1KCNZ+Zkpmjo0R+MKM7/0vZrbg3r+owo1tAb1\nnXNHyOthuRQATiZccwbEQVaqX/MmFWnepCK1B8Nasb1aSzcc0K6aZu0/3Kq1lYdV3dSmzv/GmViS\nraunD9XciUOUltTxP69DjW166v2devqDXV2Hum8+2Kj7F0xkpAcA4Ch0zoBeCobCqmps0+vr9uvZ\nlbu19WCjMpJ9umxKkYJhq8WrKhUIhfU3Ywv0d2efqg931Ornr2/U+WML9F//azJLpABwkmBZE3CB\ntVYf7azVb1bu0qvr9ktW+sbUIt0061QNzx/Q9bynP9ipf3npU80amadfXju1q8smdXTaXly9Ryt3\n1Gj04AGaMjRHk4fmKDc9yYXfCAAQL4QzwGWHWwKSlbLS/Md8/IXyCv1wyVpNPSVHj11XplW7avV8\neYWWbjioYNhqaG6a9tS1dO0ULc1L15ShOZo5YqBmjcxXfkbyUe95qLFNf954UB9sq9bZo/J16eSi\n2OtuDqi6qU2nHhEmAQC9RzgD+oE/rt2nO377sSQpGLbKG5Cky6cUa/7UYo0syFBLe0hrK+u0ened\nVu2q1apdNapt7rhubXxhps4ela/ppbnasK9Bb204oNW7a2WtlJ7kVVN7SN+cXqIff3181EunFTXN\nuvpXK7X/cKsevnqKzh9X4NjvDgAnG8IZ0E+8vemgfr96jy4+fYjOGzPouJsEwmGrT/fWa/mWKv1l\nU5VW765VMNJZO60oS+ePLdD54wZpdEGGHnhrsx5atk0TijK16OqpKsk9/iDeHYeadPVjK9TYFlRx\nTpo2H2jQf/2vKZozYXBcf18AOFkRzoCTQENrQGsq6jRyUIYGZ6Uc9fjSDQf0vd+tkSTdv2DSl3bC\nthxo0NW/Wqlg2OqZG6erJDdNC5/4UJ9UHtYvrpqkuacXOvp7AMDJgHAGQFLHUuUtz67Suj31uui0\nwTpvTIHOGpmnQZkdYW793npd+/hKeTxGz940Q6MKMiRJjW1B3fDkh1q1q1YPXDlJ8ybFfv0aAOAz\nhDMAXVoDId33xib9Yc1eHWpskySNGZyhrwzP05LVlUpL8uo3f3uGSvPSP/e6pragbnzqI324o0b/\ncMFopSV5tbeuRXvrWrX3cIuqG9uV6vdqQIpP6ck+DUj2KjstSfMmFmp6aS7nkgLAEQhnAI4SDltt\n2F+v5ZsP6S+bD6p8Z60Ks1P17E0zvvSatJb2kG56+iO9t7VakpTs86goO1WF2akaOCBJrYGQGtuC\namwLqbE1oAP1bWpsC2piSba+fdapumD8YE5DAAARzgBEobk9qGSft9vwFAyFtf1QkwamJyk3Pem4\nHbGW9pAWr6rQY+/s0O6aZg0bmKYbv1qq6aUDVZidooyUz48W2VvXopU7qrVye43Kd9VqeH667rpw\n7FFdvJ7YsK9e72yp0oUThnS7IQIAnEY4i5cD66X8MZKHY3aAWITCVm98ul+//Ms2fVJ5uOv+zBSf\nCrNTNTgrRdurmrS7plmSlJHi0+ShOVq1s0btobBumFmq284bocyUY8+JO56qhjbd/+Ym/e6jCoWt\n5PUYzZtUqFvOHq6RkWvqACDRCGfxsPM96dcXSd94XDrtCuc+BziBWdsx/mPHoSbtrWvRnroW7a1r\n0b7DrSrKTtWMUwdqRmmuxg7JlNdjdLC+Vf/2xiYtXl2pgelJ+v4FozW/rCSqpdHWQEhPvLdDDy/b\nptZASNedOUxXTivRC+UVenblbrUEQvra+ALdcs4ITSzO4po4AAlFOIuHcEj65dlS22HptnLJd/RE\ndgDO+GvlYd39P5+qfFetkrweJfs8Sop8+SO3U5O8SvF5lez3KNXv1fp99aqsbdH5Ywv0vy8a87lT\nDmqa2vXr93fq1+/tUH1rUAWZyTrj1IFdX8MGpqkpMvR3TUWdPqmo06d76zW6IENXTivRud3MoAOA\n7hDO4mXbMumZS6UL7pW+8l1nPwvA51hr9fq6/VpTWaf2YPizr1BYbYGwWoMhtQZCagmE1RYIKTPV\nrztmj9TMEXlf+p4NrQH9zyf79MH2aq3YXq2qho7dqzlpftW1BNT5f4mleekaOyRD5TtrdbChTfkZ\nybpiarGuLCtRQWaKdhxq0vZDjdpe1aQdh5rUHgorf0CyBmUma1BGigZlJKs0L13FOaknZIdu1a5a\nPbtyl04vytKcCUOOOWcPwOcRzuLpv78hVX4k3b5GSst1/vMAJIS1VtsPNWnF9mp9UlGnouw0TSzJ\n0qSSbGWndRw0HwyF9famKv32owot23Sw66zTIxVmpSjZ79XB+lY1tYeOeuzM4Xk6c/hAnTl8oIZk\npmh3TbM27q/X+n0N2hDp9qUneZWZ6ldGik+ZKX6lJXlV3xpUXXO7apvbVdccUFN7ULPHFOimWaUq\nzundBofGtqDWVtapLRDW1GE5UV/b19gW1L+9vlFPr9ilFJ9XLYGO33fK0GxdOGGI5kwYzOYL4EsQ\nzuLpwHrpkZnSjFukOT91/vMA9EkH6lv1h4/3qD0YVml+uk7NG6BheWlKS/J1PaepLaiqhjYdbGjT\npv31+mB7tT7YVt11JmqSz6P2YFiS5DEdHbphA9PVEgipoTWo+taA6lsCamoPKTPFp+y0JOWk+ZWV\nmiRjpGUbD8pKmjexUH939nCNHtz9BodQ2GrLwQZ9vLtOa3Z3LNtuPtjQ1SX0GGlCUZbOOHWgzjx1\n4JeGtT9vPKD/8+I67atv1cKvDNP3LxitfYdb9fq6fXpt3X59urdeknTBuAJ9729GaeyQzF7+xaP3\n4Y4a/feKXbpsSpHOGZV/QnYr0f8RzuLtpdukT34r3fahlHtqYj4TwAkhHLbadKBBH2yr1p66Fo0q\nGKCxQzI1clCGUpOiO5S+0966Fv3qnR367Ue71dwe0nljBunMUwcqJz1Juen+SJhLUmVts1btqtWq\nXbVas7tODW1BSVJ2ml8Ti7M1qSRbk4ZmK9nn0YrtNVqxrVofV9QqEOr4d0JOml/FOWkqyU1VcU6a\n9tS26I9/3afRBRn62TdO0+ShOUfVtqu6SUtW79GT7+1QQ2tQF582RHeePzKqHbLhsFVVY5tSfF5l\npcW2Q/ePa/fpe79bo2A4rLCVRhdk6KZZpZo3qUhJPq4TRN9BOIu3+n3Sf06RRn1Nmv/rxHwmAHyJ\n2qZ2Pf3BLj31wU7VNLUf8znGdASVqafkaOopOZo8NEfDBqZ9aVeppT2k1btrtbbysCprm1VZ29L1\n3Uq67dwR+vbZw7sNPIebA/rVu9v1xLs71BwI6ZKJhTq9OFuhcFjBsFU4bBUIWR1qbFNFbYsqa5pV\nWdfS1VEcXZChsmE5ml6aq2nDclWYnfqln/Xkezt0zyvrNXVojh6+Zore2XxIj72zXRv3N6ggM1nX\nnTlMs8cO0qhBGfIcY8fvocY2/XnjQb275ZAyU32aUJilCUVZGlkwQMm+2ILzkbYcaNCG/Q26YFyB\nUvw9fx+cWAhnTlj2U+kvP5dufEsqmZa4zwWAL2GtVUNbULVN7aptDqi2qV01Te3Kz0jW5KHZRw39\n7elnBEI25i5UTVO7Hl2+XU+9v7Pr2rQjZaf5VRLpzpXkpKk4N02Hm9v14c5ard5Vq8ZIt680L11f\nP32ILplUqBGDOrpw4bDVz1/fqF8u366vjS/QL66a3BWCrLVavuWQHl2+retki6xUv6YNy9G0Ybma\nUJSlTyrr9Nb6A/q4ok7WSoMyktXSHurqMPq9RiMHZWhCUabGF2ZpQlGmxgzOVHqy76jf40itgZAe\nWrZVi97epmDYqiAzWbedO0ILppUcFfYaWgN6fd1+rdpVq3NG52v22IIv3RF8oL5Vr/11nxrbgvJ5\nO3Ys+71Gfq9Hk0qye7WEbK1VZW2LVu/u6LTWNLXr1nNHJHRZ+mRBOHNCW6P04OSOZc1vvd7xn6UA\ngONqDYTUFgzL5zHydn4Zc8xOVqdgKKyN+xv00c4avbXhgD7YVq2wlcYOydQlEwu1cX+9XlqzV9ee\ncYr+9ZLxXzoHr6KmWSt31OjDHdX6aGetdhxq6nrstKIsnT+2QLPHDtL4wkxZK1XUNmvdnnqt23tY\n6/Yc1qd767s6kyZyjeC0U3J13thBmjUy73PXG364o0Z3/X6ttlc16fIpRbr4tCFa9PY2le+qVVF2\nqr573ghdMqlQ72w5pJfX7NVbGw6oLRhWss+jtmBYgzKSdeW0El01faiKslPV0h7Sn9bv1+JVlXpv\n6yEdYy9Kl6mn5OiaM4bqwglDjtupa2wLauehJm0/1KQdVU3asK9eq3d37EiWpPSkjhNDmtpDumlW\nqe6YPfL/b+/Og+Q46zOOf39z7X1pV+euLMmWbMv4xjc2doxtbGIwDiRAcReEKnJwJCEJSeWqIhAo\niiQkqSQOgZCKOVIEB0OMsTF3jOUjPnTasq7VsbvaQ9p7dmdn3vzx69kZSbuShbU7Le3zqerqmd7Z\nmXf67Xf66bff6TniPZbrHZ4gnTQaq9PHrctTZU//KN/d1M13N3ax99A4v33zWt517eqT+nm4Fw8O\n8+1nu3x85Tmtc1jamSmczZUnvwTf+Qhc9yG48fehSlcbFxGZaweHs/zPc13c/+wBnu48DMDHXnse\nv3HTOSc1+P/gcJbNB4ZYv6zxJV3+I4RA91CWTfuH2BwFtg07BxiemCKTSnDt2a3csn4J27qHuXdD\nJx0tNXzy7ot49bmLp///J9v7+NxDz/PsvkESBoUAi+oy3Hnxcu66tJ1LOpr40fO93LthDz96oRcD\nrli1iC1dQ4xMTNHeXMOvXN7O3Ze109FSSy5fYCofyBUKjE/m+d7mbu7d0MmuvlFaatP82hUruWBF\nIz1DWboHJ+gZytI1OM6+Q+PTIQw8bK5sqeXys5p55aoWLl/VwnlLGxiZmOJTD2zj60/upaOlhk+8\n8UJuOm8JhUJg4/5BHtrSzcNbenihZwTwL5Q012Zork2zqDbDVWsWcdel7TN+WSWEwLbuYR7a3EMm\nleD1lyyf9ZvHIQR29I7wvc09PLCxa/oLJ5d0NFGbSfHznf1c3NHEJ+++iAvbm2atw0Ih8MPnD/Jv\nj+7mp9v7ppe/+ZUd/PHr1tNSlznhdnCqKJzNlfwU/PcHYeN/Qt1iuPEP4JXvgeTLP3UgIiIn1tk/\nxujkVMVOu+XyBZ7YNcAj2w7yyNYedvePkTB43/Vr+Oit587Y0xRC8LFtL/bx6nMXc/3athlPYe47\nNMbXHt/LQ1u6ubijmTdd3sHVaxadsGeqUAg8uqOf/3hsDw9v7Zm+5EttJsmypmqWNVazormGsxfX\ncXZbHWva6lnVWnvcXrYNO/v5o/s2sqN3lGvPbmVX3yjdQ1mSCePK1S380nlLSCaMw2O56cu99Axl\neXrvYfKFwPnLGnjDpfCMACsAABIISURBVCt4/cUrGBid5LubunlwUxe7+8cwY/rbwletXsRdl63g\nly9aTn1Viid2H+L7W3um1y34pVped9FyXvsKv1RLCIHvPNfFX3x7CwOjE7z3VWv4nVvPpa4qxVA2\n579CcjjLtu5hvvZEJ3v6x1jWWM07r13F3Ze18x+P7eGen+yksSbNn9y5njde2j4v3/BVOJtr+56C\nh/8U9vzMT3O+5k/h/NdD8vjjEURE5MxRvFZe0ozVbXWVLg7gpxsPjU2yrKmahqrUywodE1N5/ulH\nO/naE51c3NHEbRcs4+bzlxy3t6lvZIIHNnbxrWcO8NSeQ9PLUwnj2nNauePC5dz2iqWMT+a5/9kD\n3Pf0fl48OEI6adSk/fp+mWSC69a2csv6pdyyfumsvZyD4zk+8+A27t3QSVNNmkIhTI8bLLpydQvv\nuW4Nt73iyDF927qH+Pg3N/J052FuWNfGJ954Iata57YOFc7mQwiw/SH4/p/DwS2+rLoZaltL04pL\n4ZK3QcuqypVTRESkAvYOjPG9zd001aS59YKl0xd3Llf8/d1vPbOfwfEcN5+/hBvWLT7hly/KPbVn\ngHsf66SxJs2KZu8lXN5UQ0dLDUsbZz99nS8EvrJhD59+8Hluv3AZn/3VS36h9/lSKZzNp0Iett4P\nvc/DWH9pGumNQluA1TfAZe+A9W+AjK6eLSIiEhfdg1nSSaO1fm5/Q1vhLC4O74VnvwrP3AuHdkOm\nAVZdBzXNUNUI1Y0+z9T5uLVEOpqnwBKQn4SpCZjK+u1C3n9Cqm4x1LVF8yWQ1u/aiYiIxJnCWdwU\nCrDnf+GZr0D3RpgYhOwQTAxBKLy857YEnHsHXP0BWHOjLvEhIiISQy81nGn0+nxJJGDNDT6VCwEm\nR30qTEEh598ILeQ8tCWrIBVNyYwHsfEBGO2D0V6f+l7w0Pf8/0DbeXDVr8Mlb4VUjffW9b3gU/92\nmJr050mmo+dMw+RY9Fxlz5lMQ+s6aFsLbef67aYOSFVDKhOVK+PlH+mB4S4YjubjA5CuK/UKVjdC\ndZP38NUvhZoWXx9xlcv6Fz1eeAj2PAqt58C6W2HtLdCwrNKlExGRM5x6zs4UuSxsvg8e/2c48LQH\ns2LYK6pb4uPd8jk/RZqf9LCWqYXatiNPlU5lof9F6NsOY32zv+5MUtX+/7NJpKLXWgzp2tJp3OJp\n3UTS7yeSYNHtVMYfm67x50/XAsEvDDwZTRMjHl6b2j1INq30qaoeDnd6UB3YBYd2eaCsavSgWLso\nCoxp2P0z2PVjyI3563Rc6etgpNvLvuxiD2rVTTB+CMYGfD5+yN/Pyqt8WnZxZS6vMjXp729gJ2Tq\nYdEaaFjx0sNwCJAd9PWJ+fq0hPfGTt+OpkTS11nqFFwjqFCAqXHIjfu6nat1F4Kvm31PwuRwacjA\n1IS3h8Z2WHyeH+TUL6lsL3R20A9y9A1wmQsh+GfFaB8sv/TUtGM5odP2tKaZ3Q78LZAEvhBC+KvZ\nHqtwNot9T/qPtFfVe69X27nQutbHuf0ixgY8qA13+c4/PxHt1CZ851W/BBqWe69S/TIPe4W8n7It\nnrodP+w9ciMHPRiNHITRg9FYumKP4aTfDvkoWOaj2/nSTnRyFDhqm01VexCpqvfHDh3w/5uJJTy4\n1S/zADI24D19+ei3CZtX+e+nrrsNVl/vYTAEPxX94sOw/WHY+7g/fyLtoa44De6DoX2lMq243L+l\nW5gqTfkpDzXFb/PWtfk8VeXr5OgeyES61Gta7LVMFMNsym+b+Wv3bYfDe449TZ7M+PtatMa/TWyG\nB68ocE0MR72f3V6GqfGT2z7StUeuh+omD75V9aV6Sdf6NlCs++J8ctgDWXmYT9dC+yth5dVw1jUe\nkI+37eanvMzFgFV8b8V5dgg6H4VdP/XwPXxg5udJpLyOiqqbPKQ1tXuPb/2SqPd3iddhLgqTuTHv\nfc6NlZYVg2ZhKqq/qlL9VTX65Xda1/q8+AWh0X7Y/RPY+WM/QBjY6fVTt8Tb1nQbWxIdTEUHUrWt\n/r6zg5A97Os5ezhqe8PRFN22xJF1VdPiz9G8EprP8tdIRNe9ymWhdyt0b/Ltf2BHWbsMvp2Z+f83\ndUDjCp8aVvh7Lgb4YphP10TbQ0MpfOdzfsDUv923377tXvbp/036PFPv9dDYUTr4ql8Wvc4JAnQI\n3taz0VCS7KCvi+m6DqULbqWqvT4ydR6Mi2OBp0WvNdNrjvXDwa3RtMXnE8PQcYVvx2ddc+RBW27c\nxyQf7vTPjexQ6SCz2C5qW6P12l5av7VtXq6TPXAoFDyM7f5ZaSq2hUy9f2ntnJth7Wt8uzTzNjV+\nODpgG/Z1UtXgU6b+5M6A5Kf8M3+oy193qMtfo3GFb3eN7b4tneg5Q4g6GCZ8XpiK5jn/W22rly+m\nw3tOy3BmZkngBeBWYB/wBPC2EMKWmR6vcLYAheA7opxfmJBM/bG9LIW8h5vBfT5NDPmOp2WN96Qd\nfYQYQrSDHfUPhxM16okRIPhrH/3Ywf2w73EPcHsf9xAy3SsY9Qbmcx4Kx/qPDZGJlO90Gpb6h0xh\n6thAXH7qu7izbGr3nX3rWj8Fvehs/6A/tKvUWziw2z9gQ/DyB3yeqo52+ktL8+ompndaoRBN5bej\n0JzPlQJBsQdx/FC0kxn2eXngqW0rBZ36pX7KO13jgSxV7dOhXdD5mAeCkAfMezenyx3NC3nfgc0W\nxI9Wt8QD95ob4KxrS6E4Ve0BFjzY9z0PvS/4vG+7LysGyROxhO/A0tX+viwZ9VBnvR6nskf2ZoPv\nlKoaoHeb3880eDlXXuXb5XRg7/bbY/0cc4AyW1mqoqEFVQ0ekkPhyHo6OsgnUl6eVLUfkBXXbbrO\nhzikqqOwlfRtPxR8Gx/cf3KhPlXtASM7eOT2UV/c7ssOzEIhOsA7dOzzJFL+PJl6n6eqvI1MB+co\nKL/ccb0nxaBlNSxZ79v1vsc9gIHfb10bHZz0zPzvmeigJl3tnxMTQ8c+JpGKDoSa/cDFktFnxOSR\n8+LZkfzEkeu5bgmsfpVvZ3WL/YBgxyN+dgH8uXPZE9SpRWWtPbINp6OzNtPrP+vz8YET10Mi5dtr\n+cEVBoSy93acszJFqRr/DK1fWvpML+TLgtxU2YHVaOkA6/J3wh2fPvHzvwynazi7FvjzEMJro/sf\nBwghfGqmxyucyWmteApxrN8/cOqXQs2ieI/HO1khRDvLsSN7TF6KiRHY/xTs3eChxBIc8YGdSPkO\nrBjq0jW+DKKdQBTkUtUedNrOfXlH07nxqMe31z/oM7WlU+3FeTLz0sL9wE4PPwM7oH+H74Q7roSz\nb/Qe1+Odyizk/fHF8aFjfd4zV9Nc2llXN5+4d6UQhZ6RgzDY6QGi2JOTG/dwsewin1rWHH+7DMHD\n09ABr6t8zsNVMcwXg3R5z9DEsIeA4pjWtrXRQcEsJkf9+Qf3ehgc6SntXCdHop1sNtomaqKAHAWG\n6qbS2Ndiz24iyTE9YVMTpTHAubHo4CJfeo9+Y+byVTX4Oms779jLJQ0d8AOOzse8zhuWe292yyo/\ncGxs93pL1x27nrNDvk6H9vvzlA+lGD/kB0fl45OTmdJ8+nba/96wFFZdD23rZt42+nfAjh9AzyZ/\nP9VN0TbV4ttTbqzUG1vsmc2NRQGsrOc4kYraRFld1LZGPWQrSvMQ/H0Nd5W2nezgsQdi2LFnEIrv\nr3xIDESXseopTaPRsJzp4TLRVDxAyNR5WTN1ftC2/s7Zt8FT4HQNZ28Gbg8hvD+6/07g6hDCb830\neIUzEREROV281HB22h2im9kHzOxJM3uyt7e30sUREREROaXiFs72AyvL7ndEy6aFEO4JIVwRQrhi\n8eLF81o4ERERkbkWt3D2BLDOzNaYWQZ4K3B/hcskIiIiMm9idQGdEMKUmf0W8D38UhpfDCFsrnCx\nREREROZNrMIZQAjhAeCBSpdDREREpBLidlpTREREZEFTOBMRERGJEYUzERERkRhROBMRERGJEYUz\nERERkRhROBMRERGJEYUzERERkRhROBMRERGJEYUzERERkRhROBMRERGJEYUzERERkRhROBMRERGJ\nEYUzERERkRhROBMRERGJEYUzERERkRhROBMRERGJEYUzERERkRhROBMRERGJEQshVLoMvzAz6wX2\nzMNLtQF98/A6cnJUL/Gluokn1Us8qV7i61TXzaoQwuITPei0DmfzxcyeDCFcUelyyJFUL/Gluokn\n1Us8qV7iq1J1o9OaIiIiIjGicCYiIiISIwpnL809lS6AzEj1El+qm3hSvcST6iW+KlI3GnMmIiIi\nEiPqORMRERGJEYWz4zCz283seTN70cz+sNLlWajMbKWZ/dDMtpjZZjP7cLR8kZk9bGbbo3lLpcu6\nUJlZ0syeNrPvRPfXmNmGqO183cwylS7jQmNmzWb2DTPbZmZbzexatZl4MLOPRp9lm8zsq2ZWrTZT\nGWb2RTM7aGabypbN2E7MfT6qo+fM7PK5KpfC2SzMLAn8A3AHcAHwNjO7oLKlWrCmgN8NIVwAXAP8\nZlQXfwg8EkJYBzwS3ZfK+DCwtez+p4G/DiGsBQ4B76tIqRa2vwUeDCGcD1yC14/aTIWZWTvwIeCK\nEMKFQBJ4K2ozlfJvwO1HLZutndwBrIumDwD/OFeFUjib3VXAiyGEnSGESeBrwF0VLtOCFELoCiH8\nX3R7GN/JtOP18eXoYV8G3liZEi5sZtYB/DLwhei+ATcD34georqZZ2bWBLwa+FeAEMJkCOEwajNx\nkQJqzCwF1AJdqM1URAjhJ8DAUYtnayd3Af8e3GNAs5ktn4tyKZzNrh3YW3Z/X7RMKsjMVgOXARuA\npSGEruhP3cDSChVrofsb4PeBQnS/FTgcQpiK7qvtzL81QC/wpeh08xfMrA61mYoLIewHPgt04qFs\nEHgKtZk4ma2dzFsuUDiT04aZ1QP/BXwkhDBU/rfgXzvWV4/nmZndCRwMITxV6bLIEVLA5cA/hhAu\nA0Y56hSm2kxlROOX7sID9AqgjmNPq0lMVKqdKJzNbj+wsux+R7RMKsDM0ngwuzeE8M1ocU+xSzma\nH6xU+RawVwFvMLPd+Kn/m/GxTs3RKRtQ26mEfcC+EMKG6P438LCmNlN5twC7Qgi9IYQc8E28HanN\nxMds7WTecoHC2eyeANZF36DJ4AM2769wmRakaAzTvwJbQwifK/vT/cC7o9vvBr4132Vb6EIIHw8h\ndIQQVuNt5AchhLcDPwTeHD1MdTPPQgjdwF4zOy9a9BpgC2ozcdAJXGNmtdFnW7Fu1GbiY7Z2cj/w\nruhbm9cAg2WnP08pXYT2OMzsdfh4miTwxRDCX1a4SAuSmV0P/BTYSGlc0x/h487+EzgL2AP8Wgjh\n6IGdMk/M7Cbg90IId5rZ2XhP2iLgaeAdIYSJSpZvoTGzS/EvaWSAncB78QNytZkKM7O/AN6CfxP9\naeD9+NgltZl5ZmZfBW4C2oAe4M+A/2aGdhKF6b/HT0OPAe8NITw5J+VSOBMRERGJD53WFBEREYkR\nhTMRERGRGFE4ExEREYkRhTMRERGRGFE4ExEREYkRhTMROWOZWd7MnimbTtkPfZvZajPbdKqeT0Sk\nKHXih4iInLbGQwiXVroQIiInQz1nIrLgmNluM/uMmW00s8fNbG20fLWZ/cDMnjOzR8zsrGj5UjO7\nz8yejabroqdKmtm/mNlmM3vIzGoq9qZE5IyhcCYiZ7Kao05rvqXsb4MhhIvwK37/TbTs74AvhxAu\nBu4FPh8t/zzw4xDCJfhvVG6Olq8D/iGE8ArgMPCmOX4/IrIA6BcCROSMZWYjIYT6GZbvBm4OIew0\nszTQHUJoNbM+YHkIIRct7wohtJlZL9BR/nM6ZrYaeDiEsC66/wdAOoTwibl/ZyJyJlPPmYgsVGGW\n2yej/LcP82gcr4icAgpnIrJQvaVs/vPo9qPAW6Pbbwd+Gt1+BPgggJklzaxpvgopIguPjvJE5ExW\nY2bPlN1/MIRQvJxGi5k9h/d+vS1a9tvAl8zsY0Av8N5o+YeBe8zsfXgP2QeBrjkvvYgsSBpzJiIL\nTjTm7IoQQl+lyyIicjSd1hQRERGJEfWciYiIiMSIes5EREREYkThTERERCRGFM5EREREYkThTERE\nRCRGFM5EREREYkThTERERCRG/h9lWzmjEeW/WwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 720x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "tags": []
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "Anomaly_Classifier(input_size=1,num_classes= 5).cuda().apply(reset_weights)\n",
    "print('Weights Reset')\n",
    "anom_classifier= Anomaly_Classifier(input_size=1,num_classes= 5).cuda()\n",
    "criterion = nn.NLLLoss()\n",
    "optimizer = optim.Adam(anom_classifier.parameters(),lr = 0.001) \n",
    "trained_classifier2 = train_model(data_loader=dataloader, model=anom_classifier, criterion = criterion,optimizer = optimizer ,\n",
    "                                            n_epochs=100,print_every=10,verbose=True,plot_results=True, validation=True)\n",
    "preds,truth = evaluate(testloader=testloader, trained_model = trained_classifier2,verbose=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 0,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 746
    },
    "colab_type": "code",
    "id": "39SEF4aDTGE8",
    "outputId": "be4e5faa-e0b6-4fa1-bfbc-852994e00a1f"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Normalized confusion matrix\n"
     ]
    },
    {
     "data": {
      "image/png": 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oFNI9E/+sAf36Kro1qgsuHKXcvDyNv/VmdercRfn9B2jkqNEaPfICtW3TShkZDfTYE0+X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\nfElpM19d2MQAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 720x720 with 2 Axes>"
      ]
     },
     "metadata": {
      "tags": []
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "cm = confusion_matrix(y_true=truth, y_pred=preds)\n",
    "plot_confusion_matrix(cm=cm,normalize=True,classes=classes)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 0,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 1006
    },
    "colab_type": "code",
    "id": "uZZqGELIm_fI",
    "outputId": "d4db57ae-821e-41cd-92f2-d669dfcb692d"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Model 1/5...\n",
      "\n",
      "Weights Reset\n",
      "Training for 100 epochs...\n",
      "\n",
      "0.9695492735459313\n",
      "\n",
      "Model 2/5...\n",
      "\n",
      "Weights Reset\n",
      "Training for 100 epochs...\n",
      "\n",
      "0.9736341270946479\n",
      "\n",
      "Model 3/5...\n",
      "\n",
      "Weights Reset\n",
      "Training for 100 epochs...\n",
      "\n",
      "0.9730306828204057\n",
      "\n",
      "Model 4/5...\n",
      "\n",
      "Weights Reset\n",
      "Training for 100 epochs...\n",
      "\n",
      "0.9829178851599127\n",
      "\n",
      "Model 5/5...\n",
      "\n",
      "Weights Reset\n",
      "Training for 100 epochs...\n",
      "\n",
      "0.9748410156431323\n",
      "[0.9695492735459313, 0.9736341270946479, 0.9730306828204057, 0.9829178851599127, 0.9748410156431323]\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/usr/local/lib/python3.6/dist-packages/seaborn/categorical.py:454: FutureWarning: remove_na is deprecated and is a private function. Do not use.\n",
      "  box_data = remove_na(group_data)\n"
     ]
    },
    {
     "data": {
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      "text/plain": [
       "<Figure size 576x396 with 1 Axes>"
      ]
     },
     "metadata": {
      "tags": []
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "s=time.time()\n",
    "acc=variation(n_epochs=100,num_iters=5)\n",
    "time.time()-s\n",
    "import seaborn as sns \n",
    "print(acc)\n",
    "sns.boxplot(acc)\n",
    "plt.show()"
   ]
  }
 ],
 "metadata": {
  "accelerator": "GPU",
  "colab": {
   "collapsed_sections": [
    "rZqrtKCuTGEG",
    "J5LKXaRnTGE1"
   ],
   "name": "Eddy_Mina_DSFINAL.ipynb",
   "provenance": [],
   "version": "0.3.2"
  },
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.1"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}