Spectrogram + KNN + SVM.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "%reload_ext autoreload\n",
    "%autoreload 2\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "from itertools import islice\n",
    "from pathlib import Path\n",
    "from IPython.display import Audio\n",
    "import librosa\n",
    "import librosa.display\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "from scipy.fftpack import fft\n",
    "from scipy.signal import get_window"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "plt.rcParams['figure.figsize'] = (12, 3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>audiofile</th>\n",
       "      <th>label</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>conv35.wav</td>\n",
       "      <td>Conversations</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>conv17.wav</td>\n",
       "      <td>Conversations</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>conv10.wav</td>\n",
       "      <td>Conversations</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    audiofile          label\n",
       "0  conv35.wav  Conversations\n",
       "1  conv17.wav  Conversations\n",
       "2  conv10.wav  Conversations"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# DATA = Path('data')\n",
    "# AUDIO = DATA/'freesound/audio_44KHz/train'\n",
    "# CSV = DATA/'freesound/audio_44KHz/train.csv'\n",
    "\n",
    "df = pd.read_csv('./audio2.csv')\n",
    "df.head(3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Sample Rate   16000 Hz\n",
      "Clip Length   2.00 seconds\n"
     ]
    }
   ],
   "source": [
    "row = df.iloc[1] # saxophone clip\n",
    "# filename = AUDIO / row.fname\n",
    "\n",
    "# open the audio file\n",
    "clip, sample_rate = librosa.load('./DataClean/'+row.audiofile, sr=None)\n",
    "\n",
    "print('Sample Rate   {} Hz'.format(sample_rate))\n",
    "print('Clip Length   {:3.2f} seconds'.format(len(clip)/sample_rate))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "three_seconds = sample_rate * 3\n",
    "clip = clip[:three_seconds]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x360 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "timesteps = np.arange(len(clip)) / sample_rate  # in seconds\n",
    "\n",
    "fig, ax = plt.subplots(2, figsize=(12, 5))\n",
    "fig.subplots_adjust(hspace=0.5)\n",
    "\n",
    "# plot the entire clip \n",
    "ax[0].plot(timesteps, clip)\n",
    "ax[0].set_xlabel('Time (s)')\n",
    "ax[0].set_ylabel('Amplitude')\n",
    "ax[0].set_title('Raw Audio: {} ({} samples)'.format(row.label, len(clip)))\n",
    "\n",
    "\n",
    "n_fft = 512 # frame length \n",
    "start = 45 # start at a part of the sound thats not silence.. \n",
    "x = clip[start:start+n_fft]\n",
    "\n",
    "# mark location of frame in the entire signal\n",
    "ax[0].axvline(start/sample_rate, c='r') \n",
    "ax[0].axvline((start+n_fft)/sample_rate, c='r')\n",
    "\n",
    "# plot N samples \n",
    "ax[1].plot(x)\n",
    "ax[1].set_xlabel('Samples')\n",
    "ax[1].set_ylabel('Amplitude')\n",
    "ax[1].set_title('Raw Audio: {} ({} samples)'.format(row.label, len(x)));"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "                <audio  controls=\"controls\" >\n",
       "                    <source 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\" type=\"audio/wav\" />\n",
       "                    Your browser does not support the audio element.\n",
       "                </audio>\n",
       "              "
      ],
      "text/plain": [
       "<IPython.lib.display.Audio object>"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Audio(clip, rate=sample_rate)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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LQ4MZ2FqWKalNIkP8eeem7rxxQ1d2HM/kyrf/4qctx6p7WEIIIbzAOge1Emp8dTXnZ93NQQUwVjCDmltgurY3P8MS8zejRGuKLiRAreQs6V0fr7WWDk9fXPvm8Arvr4M6FvhGa237L7KZ1jpFKdUC+EMptVVrvd/2JKXUBGACQEJCgpeHJGqrv/ae5uE5m8gpKObfYzpzQ1LTSvkDJ6qfUoprezShV2I9HpqzkUlfbGTVgTM8NbwDQf6SKRdCiJou9Vw+2flFhAZ679a0ollAb9xK5BUWk53vPkCt6H2LJZisaAbWEcvXK6eg+MIyqHanXvKfxRw47b2uvivM82TBN0vExYXzJIOaAjS1ed3EvM2RsdiV92qtU8z/PwAsBrrbn6S1nqm1TtJaJ8XGxnowJFGXFZdo3vh1N7d+sIZ6oQHMmzSAG3slSHBaBzStF8KX9/bj3sEt+GzVEcZMX8EhaWUvhBA1hn12zZLlfP6nHRfUUGfT0bPnO8aa36LIzTIvzji7m0icPN/jtVXbPf0LY6avcHtcRQNMSwBZ0QysI5aYNNcuQP105aFyZUVL7I61DU69nVyVKa21kycB6lqgtVKquVIqAFMQWqYbr1KqHRANrLTZFq2UCjR/HAMMAHZ4Y+CibjqVmcf4Wav57x/7GNOjCXMnDaB1XHh1D0tUIX+jgcevas+sW5NITs9lxDvLmL/leHUPSwghhAfsS0dtA4zk9NwKX3f0tOWMnbnK5Xt5ytUD7xMZedaP8wqLL7ictaLxpSUI9OazeUtQujUlgx4v/Gbd/vTc7fy1N9Xj61Rl0GgfDIvawW2AqrUuAiYBC4GdwFda6+1KqeeVUrZdeccCc3Tpf6ntgXVKqc3An8AUrbUEqKJClu9L5ar/LmPj0XReu64Lr1/flZAAb1epi5risg5xzH9wIK0ahDHxiw08M3ebR/N9hBBCVJ/CSlhWxXLruevEuVLbi0sq9l6ugr7MPFMG9dS5PNo9/QsfLD9UofewqGgXX0sw6Wfw3jJ6lmBvzpojZfaVZ03yqpz7K/Fp7eTR3b3W+mfgZ7ttz9i9fs7BeSuAzhcwPiEoKdFM/XMfby7aQ8vYML64pw9tJGsqgCbRIXx1bz9e/WUXs5YdZOORs7x7cw+a1gup7qEJIYRwoLDYeQa1opxlSu3fy1OuQsa07HzeX3qAl37eCcC8zce4a2DzUseUZw3RipYhWwJUb2ZQLeNOzSoo+37l+Ea5OtTbGU/JoNZO3nvsIkQlyMwrZMKn63njtz2M7hbPvEkDJDgVpQT4GXhqRAdm3tKTQ2eyGTl1GcvKUYokhBCi6thnUL2RbXPW0KfiTZKcR31p2YXW4BTA6OBQT5aXsahoRtkSl3lzfXBLEFrgYEw5BcX84+vNnDqXV2afs7E5fA8vr2cu8WntJAGq8Fl7T55j9NTlLN59iueu7sAbN0hJr3Du8o4NmTdpILHhgdz6wWpmLNlf6a3uhRDC23IKinjxpx1klaOksiYpE6BWQgbVEvRWNPhzl0G1ZXAQzOYVej7dpKJjtAST3gz4ClwE1j9uPsY365OZsmCX2+u4ymp6O+Ppjb/zJSWa9YfTvDAa4S0SoAqf9PPW44yatpzMvCK+uKcvtw9oLl16hVvNY0L5/oEBXNm5EVMW7OKBzzfU2ps8IUTtkplXyM9bjzNz6QFmLTvocB5gbVBYdD6g2JJ89oLzp8UlmpOZ57N6qVn5ZOYWWfdVhKv7jTPZpctfHc0hzXURoPZpXq/Ua0fZSk9YPrcLWa/Ultba5d9LSyCtXIbv5mu52OftKcje+PRnLTvAmOkrWb5Pqq98haSjhE8pLtG8tnA3M5bsp3tCFNNv7knDyKDqHpaoQUID/Zh6U3e6NolkyoJd7DuVxXu39KRFbFh1D00IIZx69ZddfLbqCE3rBQN4dT1QX1Jo07ho5NTldG0adUHXe/WXXby39ID1ddKLi6wfV7yLr/N97y05UOq1ox5HlgA12N9YJlh9bFhbioo1N5o7Dp/NKazQ+q/amkH1TsSXX1Tics6uJbtq9CC15Sqr6WtzUFPO5vLnrtMAHDtb8S7Swrskgyp8Rnp2Abd9sIYZS/Yzrk8Ccyb0leBUVIhSigmDW/LZXX04k13AqKnL+W3HyeoelhBCOJWdbwpkjqaZbpIro9vthcgvKi5X6aoz9p/X5qNnL+h6C7adcLqvyAslvk9c1Y5wF8Gjo3VIcwtMX6c3b+zG+7cmldoX6GckMSbU+vr7jSn0fPE3ystS4vv+Xwe9kvk7l+e62iiv0BKgus+gunou4PU5qBd4/oApf7DywBnAdeZcVC0JUIVP2H4sgxHvLGPNwTT+PaYzL1/TmUA/Y3UPS9Rw/VvF8OPfBtI8NpR7PlnHW4v2lKu7ohBCVKa8wmI+XnGIAVP+4PuNKaX2ZeYWVtOoHHvy+23c88m6C76ObYmvN7hqsuRpBjW/qJjrZ6xg45F0oHQGdXzfZkwf39Ppua7moIYEGGkSHVxqX6CfAT+7IM8S/JWHpfvv+sPp3DxrdbnPt+fuIa4lE+xJEOcqg+r9JknyN702kgBVVLsFW49z3fSVFJdovrqvHzf2SqjuIYlaJD4qmK/u7ce1PeJ5a9FeJs3eQE6BzEsVQlS/V3/ZzbPztpNiU1rYItaUXct0k9GqahuOpHP4TA5rDqZdUFBQ0TmXzriqcPU0QN17Mou1h9J58vttQOl5lv5GgzXr2yQ6mJiwwFLnOgpQz+aYHi4EBxjxt2vzG+hnxN/vwm+/vR2XfbbqMF2aRNIrMdrhfktW2OgkQL3v0/XM33LcNDYX7+P9Jkneu5bkT32HBKii2miteXvRXu7/fAPtGoUz728D6HaBc1GEcCTI38h/ru/Kk1e155dtJ7hu+spSN4RCCFGVlu9L5dp3l7Nif+nSzMvax/HHoxcRFxHoUxnUgqISDp/J4UhaDje8t5IfNqW4P8mJipbdOuONbJ0l5rIET7YxmJ9BEeRvquga3CaW3s1LB3BGg2LGkv2sO2TqAjt/y3HuNmeag/2N+NtN2gzwM+BvqPjt9/J9qUz8fEO51iX1xInMPLo0iXQ6Fzbb/GDXWYnvL9tPMPGLDYBny8wcSs1mx7HMCxixyYUEvN7+WRTeIwGqqBa5BcVM+mIjby7aw7U94pl9T18ahMt8U1F5lFLcM7gF/7u9F0fTchj5zjLWHpK28kKIqrX35Dnu+ngtG46cZdeJc6X2BfiZbv4jgvxZtPMUW5IvbH6mtxxJyy4V7B1MzanwtVw14qkIV1cr8vC9LEGXNUC12aeUom+Lerx2XReeHt6BiCD/UucalGLKgl1cN2MlxzNy+WnLMeu+IH8jfo4CVEeLp3rojg/XMn/rcc7lOX6AobXmTFY+iZPnM9fDBwnFJZqzOQXUCwmgR0I0gQ4yvDnmDKqjjLH91BlXQWNxiaakRHPR64u56r9/eTQ+W/adhitaMbwl+Sx7TmZV7GRR6SRAFVXueEYu17+3gp+3HefxK9vxn+u7Wp9OClHZLm7bgO8nDiAi2J9x76/iy7W1cykHIYRvGvrmUqdzDrPMjZIigv1Jzcpn5NTlVTk0p/adyi71entKBntPnnNytGvumj+tPnCG33d63tTOVTBU5GGHW8slLEG4fXZSKcX1SU0JDjByUdsGTt+j3yt/lGokFRxgxN8u4xjgZ3CYhfSkKVbK2VzruafP5Ts8pkTDvlOmwOuzVYfdXhNM851LNESHBvDgpa3Z/eKVZY6xfG0cJVBtOzO/+NMOtrvIjL639AA3vb/Ko3HZ01rT6dmFZbY58+PmY9bSZHsjpy4vEyB7u/xcVJwEqKJKbTiSzsipyzmUmsOsW5O4d0hL6ZomqlyrBmH88MAA+raoz/99u5V//bhdSn2EEJXO3dzNTo0jAAjy953bs6ve/ov7Pltfatvvu04x9M2l7D5R/iDVXRBw48xV3PWx582YXH1JPZ2DagkO7QNVR4Z1ash3D/S3vk63Wxf18Jnz2eVgRxlUo8HhfU96TkGZbfYGTPnD2qzI2RAr0oQozfze9UID3B7rKLi2LEEDMGvZQbfXWH2wYtVL9mvQgunz3XfqXJnvw7pDafxt9kZe+nmHx9fP90KXauEdvvMbUNR6321IZuzMVQT7G/nugf5c2j6uuock6rDIEH8+vL0Xdw5ozofLD3HHR2vJyPGdOV9CiNon20k2B+CTO3vz96FtAEg9d/5mu7hEX/CSM8fO5nL3x2vJdFIW6sqO486zYVe8tZQ95cykelp26ylX8ZinDx4tZceWzKm7MuRm9UKsH9sHTQdSz2ebTXNQSwd0zsp7e7/0O4fPmM79x9ebud/uoYCnHegrEqBagruoEPcBamZeUZm/lbYBamVytE5pbmExl72xlFs/WFNqu+X7smDrCRbvPlVqn7N/T/O3HmdL8llSs/I5nuH9PhVp2QU8/+OOKvt61WQSoIpKV1yimbJgF498tZkeCVH8MHEAbeLCq3tYQuBnNPDM1R14dUwXVh04w6hpy9h3qmJla0IIAfDl2iNlbogtzrrIkg1qHWNtqHPyXJ51+7j3V9HmqQUXNKbXFu5m0c5TLHSxZqi9zLxCpizY5fa41CzHpabOeHt9V1dZ6fJmUK0lvm7OCw44Py0pzUFWzyLQz1CmSZIlezptXA8C7OZ6DnltMZO/3cI365PLrO+aV+RZds+2PFl52JfW8jnU8yBAnb3mCF2f/7XUtqoojd2anMGRtLJzny3fqq0pGabXJZr1h9Ot39Mz2QXc/uFa6/HZ+UVOS5/XHjJV+SW9uIh+r/zh5c8ApizYyQfLD7Jwu/N/h/tOZVkbbtVlEqCKSpWVX8S9n65jxpL9jOuTwKd39fGohESIqnRDr6bMvqcvWflFXDNthdObSyF8iVJqmFJqt1Jqn1JqsoP9gUqpL837VyulEm32PW7evlspdUVVjrs22XUik5lL99P35d/ZlpLBw3M28n/fbi11Q2zrrIMqjd/+Ppi3x3YrVfaZ1Ox8p9jVB9MueCkNS2C8cPtJlu9LdXM0rD+cxvhZq5mxZL91m7PMn7NlR5zx+jIzrgJUD7O1luMsl3I3dzXIZp32HBdZcYNBlVrztEuTSOvHw7s0oqndGqkAc9YedXit7HwPA9RiVyvDOmYpL44O9XdzpGPeXtvW3oHTWVw9dRmTvtjo9Jj4KNPX8sMVhxgzfQV/7HL8d/yxb7fwrx89L/v1lKX5k728wmLrdkuDJ8tR249lsP5wuvXYkhLNZW8s4boZK/li9ZFS59Y1jntJC+EFR87kcPcna9l/OpvnR3Xklr7NZL6p8FlJifWYO2kgd3+8jjs/WsuTwztw54BE+ZkVPkkpZQSmAUOBZGCtUmqe1tr2zusuIF1r3UopNRb4N3CjUqoDMBboCDQGFiml2mitZQKWCwdOZxETHsiOY5lsP5bJZ6sOc9CmnHPEO8scnrfv1DmW7zvDbf0TybBbOubRoW1oHRdOa7uqorfGdmf26iO89PNO67a8wmKHDQVXHTjDvlNZzF5zhNeu60qTesFlOs2eNb/vop0nWbTzJIemDHf5uY6ZvrLMtg6NIticnFFmu6sAzRGvZ1Bd7KtoBtVdYGtwstSKI5Y5m49f2Y57h7Ss0PgAj9fvLhVcezjMtGzTz0dFEwgFxZXzq2PDkXTSsgo8WtbIktW2NO/af8pxh97Kyk6OnractOwClk++BDBl9k9k5tHvlT8Y26spU8Z0sf5cLdl9mg6Nwhn+X9PvjMFtYvm/YW2trwGe+H4rT3y/lV6J0XxxT99SmfiSEs3qg2kkJUZjUMrp0j81mQSoolKsOnCG+z9bT4k2zasZ0CqmuockhFvxUcF8c18/HvlqEy/8tIM9J87xwuhOZcqwhPABvYF9WusDAEqpOcAowDZAHQU8Z/74G2CqMj1xGQXM0VrnAweVUvvM1ysblVQTrTVncwo5kZnHkbQcjp3NpXFUMDkFRdQPDaSopISeCfXw91OEBHh+K7MtJYN//7KLmbcklSrTdCevsJhL/rOEDo0iXM7JtFVQVEKAn4GxM1eTmpWPwaDIsVki47qeTfjbpa0dnhsW6Ee/lvVLbUvLLqBxVNmM26u/7GLDEdNyNOBvb0gAACAASURBVJaupC+O7sRNvROsN672gXF5dU+I4sXRnUrdQFtkexg4WXia1Tx9Lp/Y8EC3x7nKLs9ec4SwQCP3DGoBCqfL2VkC1BKt0VqXK3C01ax+CP1b1mf/6WxOZJjKtJVSTh8IlGc+rscZVK3LnXE/m1NAoJ+B4AquqJBfCXMq8wqLufbdFR4fv+9UFp+uOmzNqDv7mT+ZWb6SdHcOpWYTEexvLTFOnDyfAa3qsyU5g3N5pn8bc9YeJTo0wPpz9u2GZL7dkGy9xtI9p9l81PGSUmsPpXP/Z+sZ2S2ezvGRfLs+mZ+3HefAadPDsUGtY/j4jt4OH5p8uPwgLWPDGNQ6BqUU2flFhAQYOZqWS0SwHzkFxQ5/p/gCj36rK6WGAW8DRmCW1nqK3f7bgdcAyyOOqVrrWeZ9twFPmbe/qLX+2AvjFj7sy7VHePL7bSTUD+F/t/WieUxodQ9JCI+FBvox/eaevLloD+/8sY+DqdlMH9+D+mHub5SEqELxgG0tYDLQx9kxWusipVQGUN+8fZXdufGVN9TzpizYRVp2PsUlUFxSQrE2ZQOKSzT5RcWcyS7g9Ll8UrPyPV4vMz4qmJHdGnMmK58TmfnUC/Hnmas7Ui80gJISzbrD6bSMDSUi2J+n525j45GzfLbqMJd1iKNpdDDKTQbiw+UHrSWBjoLTL+7pQ9/m9Tl1Lp++r/xu3d7mqQU0iQ62ztF8+odt5flS0SCi9O+c1xfu5oXRnQgNPH/rVlhcwjYHS3o89cM2QgONXNO9CZO/3WK9mbW3/VgGHRpFuK0UGd+nGQ0jHAd3v2w7Qef4SJrV9+xvvacZ1F4vLeKjO3pZl3U5mpZDVIg/4XbZYVclvgDv/3WQ9/8ydZZ1FihaftZKtK7wupoA9UMDeOXaLh4f766UeNGOk1zavgFKKY8zqLbzZz3Nq6VlF1AvNKDCFUPeXtsWypeZb98ogp3HM0v9G3MUoJa3XDa/qJhAP9dB+0WvLy6zbfm+M2W2TV+8v8w2W84C6jE9mvDDphQW7XRcsvzX3lRaP7WABy9pzeUd42jfKILk9Bze+HUP3200hWX1QwOsTaMS64dwyKbTdOsGYQQHGFFAg4ggAvwMxIQGkJFbSL3QQLLyTeMqLNb4GRQGpRjUJoYRXRq7/HwulNsA1cMyIoAvtdaT7M6tBzwLJGGqwlhvPjcdUesUl2he+Xkns5YdZFDrGKaO60FkcMXmMwhRnQwGxaOXt6VVgzAe+2YLI6cu53+3J9GuYUR1D02IKqOUmgBMAEhISPDKNVceOMPJjDyMBmX9z6BMZZABfgZiwgJpGxdObHggseGBNAgPokl0MA0jgziRkUeAn4GU9Fz8jIpZfx1k2b5UUs7mlrn5230yizZxYczddAwwXd/PoKyZnpd+3mktnx3YKobP7jbF9gu2HudIWg6z1xzhoctac033JmXmqxkNiocubY3WcDorj/4tTRVCDSPLBnDJ6c47gboLrBqEB/H22G7kFRbzf99u5buNKcRGBPL4le0BuOLNpRSWlDjtCPrk99sICfBzOqdx/pbjTPxiA9PG9WB4l0YuxxIa6EdYkONbxp+2HGfh9hPsfekqTp/L56X5O3j52s5OM9vlmYO6/nC6NUAd9OqftIkL49e/Dyl9kBfm525ONmWviks07Z6ueEMqd8GMPUsGtVvTKDY5yKDd/ck63rmpO1d3beyyA7T9Ncs7CzU9p4BoDxokOZKalc/7Sw9U6Fwwfc0dPSDKzncckN/UO4HZa86vX/7lhL7sOJ5Z5t9put1878LiEt79s2yQaFDOO0Fn5RURGFb2e7r+cBrJ6bl8stKzdWYr6t9jOnNjrwReGN2RHccymbP2KKO6NeaZudtLTS8oLtG8uWgPby7aUyYAhdKdphuEB9GxcSTztx4HICTASE5BMRm5hRw6k0NksD+nzuURFmjKsIYH+aE1BPkbKSwuoURrGkU5fljlTZ5kUD0pI3LmCuA3rXWa+dzfgGHA7IoNV/iqc3mFPDh7I3/uPs3t/RN5anj7Mmt/CVHTjOoWT2L9UO75ZB1j3l3BW2O7M7SDLI8kfEIK0NTmdRPOVzHZH5OslPIDIoEzHp6L1nomMBMgKSnJKymSuRMHVPjcOHMGr30j04Oii9o2ICOnkKyCIoxKkVdYzI7jmWxJzuCDZQfZaZPtLDZnaR1Zti+Vi19fTKPIIFbsP5/5+PuXm3lr0d4yx/dvWZ8HnZTm2rqmezzNY0L5fdcpNh89S73QgFIdXz0pwxzVLZ79p8/PpcsvPB/c7XazvEtOQTH3frre6f4t5qDs0JnS2VVHXXFDA40ugy9LBu21hbv4YdMx+rWsz429yj7U2JaSQY6Hpaq217XYc7LsvEJ3gb47189YyV7zfMWcgmKPs4HTb+7Bf//YV+rnrLzr11qyyVPGdGbYW385POZkpqlUOMdJwGavRGtr0O5pQtSSQS0PrTVKKR74bANrLmBeZ8snfuanvw2kU3xkqe2OSsct/Uwu7xjHHeZGZH1a1OdEZl6ZY+2lZuUzY8l+BraKYZlNo7B6oYFOO1GfzMx3WD3laI62vT8eHYK/0cBj32xh5YGyGVV7g1rHcOhMNkfTTA+1/nF5G+u/oZAAP5IS65GUWA+AP/9xEYmT55c6/4qOcUSHmH7HHE3Ptf6+e+7qDlzdtTEHU7Np3SCcyBBT4ujV/KJS1Ri+xpOReVJGBDBGKTUY2AP8XWt91Mm5ZcqIKuMprag6R9NyuOtjUzOkF0d3YnzfZtU9JCG8pmvTKOZNGsiET9cx4dN1PHZFO+4b0kKaJ4nqthZorZRqjim4HAuMsztmHnAbprml1wF/aK21Umoe8IVS6g1MTZJaA2uogSJD/K03XACJMaFc1bkR91/Uks9WHaZHQjThQX7ERwUzY+l+3ltyPtPTs1m0tYPmwdTsUhkJi8Nnyi5rcXnHhk7HM+vWJBbvOcULozpZf0c8eGlrMnILMShT2Wpe4fn5jp6obxM4/Lr9BD2aRXO1m4zn7f0T2WtuzhQSYGT7v66g+eM/lzrGUkL52sLdbDySzqzbegFYx2fLciO7fPIl3Pq/1ex3UjLs6lM6fS7faSMpZzxZx9T+uYO/UZWr5HSvTTOd8sylvLJzIzYePVsqQC13BtU8+Khg98GhxxnUkvKXKafnFBIfHeL+QBunz+VzNreQPXZLsxkNqtxrsc7ferxUgFpUXMKh1LL/9q7o2BClFBebs+oW9kv5OGJZNuahy1qXClDvHdyiVDMyW1f99y9m3ZrEZeYH07PXHKFDo7KVVP+5vitGg+LhLzcBpgcDifVDMRgUF7WNZeWBM0QE+ZGZ5/whw6d39eGW/63maFou397fj57N6rn8fL66tx9/7T1NTkExt/VLJKH++e/fubxCTmbmkZyea61AsA+0fTk4Be8tM/MjkKi17gL8BpRrnqnWeqbWOklrnRQbG+ulIYmqsPZQGqOmLedERh6f3NlbglNRKzWMDOLLCf0Y3rkR//7FtKZvXqE0PBXVR2tdBEwCFgI7ga+01tuVUs8rpUaaD/sfUN/cBOkRYLL53O3AV5gqoX4BJta2Dr6Rwf5MvLgV/VrWp1N8JNGhAYzsapozZVAwvm8CH97Ri0/u7A3AfUNa8vI1nfn+gf5lrmVb/vr4le24rkcTp+97WYc4XhzducwDrMhg09zJFZMv5d9jOgPnM8Hu2HbkPZaRx4OzN1qXq3DkjgGmKqYmUaYb1uYxoQ4fqNnO8bOd33Yur+xcuFBzuW58VDDf3t+fqeO6uxzz/327lZtnrSq1zdF13WUci6xddc8HjomT55d6bR/oe9I0a/6W425/h9/eP5El/7zI5TEBdoFReTOolhJfdw27Pl99mGNnz5eLx0U474mw4XA6f5ZzqbS07ALqhZRvStbIqcu5/M2lZZZOss/ENo8J5T677sX27B9EPD13O/d9Vjb77+zr1CYuDDDNp3SlU3xEqSWc1jx5aZlmZPZe/3U3YMoYPzdvO+/8UbaqolN8JBe1PR+/HHxluLVpUYR5qtvA1jGEuPk+/3tMF+4Z1JyuTaJcHgfQu3k9Hr28LU+P6FAqOAUID/KnVYNwa3BaE3kSPrstBdJa2+auZwGv2px7kd25i8s7SOGbvlmfzBPfbSU+Opj/3ZZEi1jXvxiEqMmCA4y8c1N32sSF88Zvezh0Jpv3bunptCukEJVNa/0z8LPdtmdsPs4Drndy7kvAS5U6QB/TsXEkX9zThx4J0dblWga3iWXzs5cTEeRnDeK+e6A/L/y0g41HznLfkJb884q2zN9imq9lv0xIedULDeDGXgm0iQv36CYUHC9p8su2E9aP2zUMZ9eJ81msTo0j8TMaaGJeY7ORg7mxALmFjoPccw6CX9sb66iQAEZ0aUx+YQmPfr3Z6bjtG8U46kIbEuBHXmFBme0WlhJY+3mr//xmC9cnNaFpdEiZ2ZahAUaXXYtXHTjDxC82cHv/RJ4b2dHpca0ahLlt/GTf4b28GdQgfwMFxSUuu+duP5bJ9xtLV+B3jo9kfJ8o/vPbnjLH//ObLdaPlQdtkoqKS8jILSS6nCW+zspqI4P9OX3ufMnsR3f0Ys1B1yXA9hnveU6WlQlx8nVq1SCcPS9eyUcrDvLyz7ucvs/0m3uWelgTEuBHkL/r0uldJ85RXKLJzC0kv6ikVPbVolFUEOGBfoQEGHnIrvzf8s+3QXgQO54fZi3NbRAeyCnz12lQa9M89sZRwTw5vIPL8dQVngSobsuIlFKNtNbHzS9HYnqaC6Ynuy8rpSyPKy4HHr/gUYtqVVyieXXhLt5bcoABrerz7riepUqshKitlFI8eGlrWjcI45GvNjNq6nLevzWpzNwZIYRvsjQ0smXfzK9HQjTDOjZk45GzNKsfgtGg+OD2JE55cXmK7gnR7g+ysfqJS7lp5ioOmMuQLUFIXEQgt/RrxpPfn+9eGm5uZmRp2uSo/LHXS4ucNlfKclCGGOagHHBMzyZlAlRXhZ3n8ssGje6WNbFkGPPtyo6/35hiDdr8jaWDsCA3WSpLxs82I+mI/XUdsQ9Q/Tw4x9Y39/fnj12nXC5l5ijzHOBn4G+XtnYYoJZHRk4hE7/YAFR8DVR79llCo0G5/brYdzN2ViFs29ukR0JUqSVSAvwMZdb/tWd/rxrsb/RouakXftrBkDamDKmjEnjL++54fliZfSO7xrP9WKY1cP3i7j5sP5ZJ/1b1+XD5Ie4b0sJnl3qpTm4DVHNreksZkRH4wFJGBKzTWs8DHjSXFBUBacDt5nPTlFIvYApyAZ63NEwSNVN2fhEPzdnEop0nublPAs+N7OhR7b8QtcmVnRvRtF4IEz5Zx/UzVvLGDV25srPrOWFCiJrj9gGJBAcYub6nqZz3knbV2xwtLiKIQgdLkkwd1wM/uwyrpduuZTkWR92FbTNc9hyVD4cEur6Jty91taW1ZmtKhsPA111JrOVzdtX5137eq6uxTPtzHwn1TOWQBjd9BIwG9/c29oFzeVsTtIkLp01cuMtjHGWD/TwYmyeenbfNmhF01cU3OsS/TFdcZ4Lsssh+BoPbr7X9nNViD+Znf/dA2YZrEW5WjgizK/82GhRBdg8HOsdHWtc0tfhoxSE+WnHI4TXfvzXJ5XsGBxh5flQn6+v+rWLo38r0oOz167u6PLcu8+gnXGv9s9a6jda6pbksCK31M+bgFK3141rrjlrrrlrri7XWu2zO/UBr3cr834eV82mIqpByNpcx01fwx66T/GtkR14c3UmCU1FndYqP5IdJA2jXKJz7P9/A24v2Oux+KYSoeQL9jNzaL9GnutFf0aFsc6boEH9rxtTCks0Z2iGOp4a35x+Xt/Xo+pbfX+ccBJLuSlcD/AwUFJU4XGdywbYTjJy6nM9XHymzz132Ktc8T9Y+ELRVZPeegS6yka8t3M1cc/mouxjPkyZWB1NNDZbaNTQFmZ6U1JaXo1Jab917rT10ftVHV1lcf6OBq7t6tu5loN1DB9MST27mGtuV+Fb0b6m7pQ0dlcv7233e793Sk//e5HyOdajNz2x0iL909q8kvvObV/i09YfTGTV1GSnpuXx4R29u658oXUxFndcgPIjZ9/Tl2u7xvLloD5Nmb7TeUAkhhDdNvrIdM8b3LLUtKiTAmim1sASsRoPi7kEtnHbr7NeidHOY5PRccguK+dtsU8nnq9d1cZmNtFVQXELfV37nu41l5w4mp5u6sa4yL7XRIvb8vE53Jb6WbG5Bsee/V90F08czTAGfu3sYT5Z1GWDOhA1sVbZ03FscraUb4OfZ/dfOE5mscDBnEkxf25SzuYzs2pguTSJLNQ8C6NLk/NQVg1K8c1N3jxp72Wdi/czrHbti/5ChvF2ILexLfJvVd9+ZOCLInxdGn89wxkUEWbtk90osW4pv28VbHklXHglQhVs/bEzhpvdXERLgx/cT+1vr8IUQpsWr/3NDVyZf2Y6ftx7nhvdWciLD/ZpsQghRHn5GAx0blw4QooL9y8wPdTRf1F5IgJHZE/piGzcMevVPvl5/1Nqw5rL2cSyffAk/Thro9Dpdm5oaPRUUlZRa47X0e5nGY1nCZf7fBvHWjd0A95lASzbX0bw/Z/zdBG/p5nG6Kzv1ZFmX63o2YdcLw6wNqSrjub2jZKKnGdSzOYWMm7Xa4b695nV0h3dpxLxJA8ssQ/LpXX2sD0QsPyeOMuT2P2+NooKYM6Gv9bXR6D5ALbQp4dZaV3ht24jg82OZfnOPMuXGFj9MHMD0m3tYX99iswKF0aBQSrFi8iV8elfZVTXvHtScG5OaltkuvEsCVOFUSYnm9YW7efjLTXRvGsXciQNo1cD1XAkh6iKlFPcNacn7tyRx4HQWI6cuY9PRs9U9LCFELRMbXjqI8DMayjSlsc+oWtiup2opg7WPN1aYO+/WDw0gIsiP2PBAOjdx3gTuq3v78sjQNi7HHGozf9VoUKXmndqXJ9vLtmZQPQ9QLXNMnTljDVAd77dk3Vwt5WOhlCLI31jlmbTylvimnM3lpy3HSm1btPMkgNM5sJHB/tYHIpZss/3c0Icubc2Kxy8ptU2h6GuTnfczqDLzpO3ZVh5lFxS7XE/XFcvPfniQH1d2boR28p3p1jSqTN+IHgmlu2o3jgomyN+Iv1HRMjaU927pydMjOtCxcSSvXNuZa7vH8z/z2sHC+3x7lVZRbbLyi/j7l5v4bcdJbkxqygujO7mcnyCEMK2B+O0D/bn743Xc+N5KXr2uC6O6xVf3sIQQtUSQv5Gv7+tHw4gga9CmlOJvl7TiTHYB21MynP6t/vmhQXy4/BAzlux3esz24xlEhfiz7qnLPJrGE+hnLBM029Jal8pUhgWalvOxZMiC/Y2se+oykl5c5PB8S5Doag6qvQbhQex6YRjtnv7F4X5LJtfZZ3fngOY8O287bd00L7JlCaguJIE6/8GBHDmTw/2fb3B6jGWub3m7BY95dwUnMvMY3rkRSikOpWYz7c/9dG0aRTMXAb0lOzq4jamE2T6z2TourExZbXx06Y60BuU+g2r7MOBMVsW7ZUcG+9MwIojHr2oHOM4+O/PFPX1LrQ1sseXZKzAYSpeOGwyKN8xVAKJySIAqyjiUms2ET9ex/3Q2z4zowB0DZL6pEJ5q1zCCuRMHcP9nG3hozib2nszikaFtHDZnEEKI8uqVWK/Mtkc9aIQUFxFE/5b1mbFkv9N5mkfTcklqFl2uv/n2GVxbI95ZxvZjmdbXloDHEjgYlCImzHmAa+n8W54Mav+W9QnyN3LngOasP5LOZifVLI5KfFc+fgmNIoMZ3CaWRA/mL3pTx8aRdGwcSf3QAGuW116LmFB2nThX7mZMlkZLRSUaf6PiTLYpCHzUzd+m6NAAFv/jIusyKPYBn/180/dvTeLSdg1KbfNkDmp2wfkA9UKqj4wGxaonLrW+Lk8iNsjfaF0f2ZYny9AI75OUmChl6Z7TjJy6jFPn8vnkzt7cObC5BKdClFP9sEA+u7sPNyY1Zeqf+7j/8/XWUjUhhKgulhtwV8u7tIwNK9c1QwOc5zpsg1M4X9Jb4mHKMaugiMLiErZ4GLTsemEYfczlpc9c3YG5E8suRWLh6N6mUaQpEGseE1quex9LIOSN+6V5fxvI8C6Oly1rEBFkfr+K1cBauuVm5Zsyhc4aaNlKjAm1Ztztl4Oxb0I0tENcmYDX6EGAmmMez8LtJ3hozibio4K5uU+CdX+L2FBm3tLT2eluGQ2Kl67p5P5A4TMkQBWAqQxn1l8HuP3DNTSKDGbexIHW7nRCiPIL8DMwZUxnnh7Rgd92nOS6GSut3SyFEKI6+JtLQ11N2WkUVXbdVFeM5Sg3tQREljDHXaMireFfP27nP7/t8ej6jjJgrhSWIzPriiVreG2PC5/SER8VzIRBLUptG92tMbf3T6RXs7JdZcujsKSEg6nZ/GGefxrqZn1be/YBapNo91lmpdzPQbWU+H697igA9wxqzkvXdLY2I7p7YItS3XM9ZVmu5peHBnFzn2Zujha+RAJUQV5hMY9+tZkX5+/k8g4N+e6B/iRUcWmLELWRUoq7Bjbng9t7kZyWw+hpy1l/OK26hyWEqKMsHXotJb7v35rEoNYxpeaRxkWUL0B11NnVGWuAag4cHIUt9uuY/rDxmIOjYPnkSxxu99S3G5Lp/NzCC7qGRWJMKIemDKdLkyj3B3vA/gFCx8aRPDey4wWvy1tUrLn49cV8vPIw4Dr77Yjl+/bARS1Z9n8Xe3yefVbVfvmi7PwicguKOZGZx0VtY7l9QHMAokJM81vLG0hbvHRNZzrFR8g9bQ0kAWoddyIjjxvfW8l3G1N4ZGgb3r25h0clH0IIz13UtgHfT+xPWKAfN81cbX1KLIQQVamleQ3Se8wZuqEd4vj0rj6sffIy6zFxEc7nhDpycdsGPD+qI7f3T3R7bHfzsjS2c1Dt2c9JddRNd3iXRsRHBXNR21hGdWtcrvHaKs/yNVXJPkC1XT4FKDO50tP5skV2GePy3u9Zuvje1DvBo+yphX0GNdCuxDy7oJj2z/zCtpRMGkWef0Dy8GVtePKq9ozoUrHvcd8W9fnpb4Pcro0rfI8EqHXY+sPpXD11GftOZTHzlp48eGlraeQiRCVp1SCcHyYOICkxmn9+s4UXf9pR5mZBCCEqU/2wQA5NGc6wTs7LJRuEly+DajAobu2XSISbJWMArk9qAmCdQnRDryZljrFf69XetT3imTbOtIblR3f05u2x3cs13prAPsNo6ZRrieftc9af39OXiRe3dHvd3i//Xuq1qwZXjliS5WUCaDffe/sHEfFRwU6OLJ3BDw4wcs/gFm7nsIraRwLUOkhrzScrDzF25kpCAox8P3FAhWr7hRDlExUSwMd39ubWfs2YtewgN89azalzedU9LCGEsGpQzgyqhbul6D64PcmadWtaL4RDU4bTs1npjsTv3NSdKWO6uLxOeTvY1kRlM6jmANXJ8Y0jg7ipd4KTvc7Zl1O7Yynntg84Vzx+KZueGer0PPtlcaaPNyVFHLHNoIq6SwLUOianwLS+6TNztzOodSxzJw5wukizEML7/I0Gnh/ViTdu6Mrm5LOM+O8y1h2SealCCN9QP9T7AaqfQXFJuzi317i6a2O32bi6sLCAswyqhbZb78XUiKj8t/Tl7Tr8r1EdiQkLtM4NtQgL9CPKbskZW/Ylvg0jgrhzQKLDYxuUcw60qJ0kQK1DDpzO4pppK5i7+RiPDm3DrFuTXP5CEUJUnmt7NOH7BwYQHGBk7MxVfLT8YJmbDiGEqGoVLae0D6psuevWa8tdI6C6UO3pdg6qAxWIT8ttRJfGrHvqMvzL2azJ/vvvb1ROrxEV7O9wu6hbpBtOHfHLtuP84+st+BsVH9/Rm8FtYqt7SELUee0bRTBv0kAe/WoTz/24g41Hz/LKtZ0JKWdnRSGEuFB/PXYxqVn5FT4/wEUjGnfrdvoblbXDMMBr13WhZ7NoLvnPkjLH1oUSX/vgrcwcVAdfzopkUKuK/diMBlWm7Bfg7bHd6NbUO52QRc0md0G1XFFxCa8t3M17Sw/QtUkk747v6XJyuhCiakUG+zPzliSmL9nP67/uZtfxc0wf34MWsWHVPTQhRB3StF4ITetVfDkOVyW+7opDFv/zYo6dzbW+vt68/qUjlVHi269Ffe4c2Nz7F64gf6MiIsiPzDxTB+Nwc9mzZZ3XYAfNjXytkdAbN3Rl5/FMoOxauUop/G2C1vdvTSI00Ej/ljFVOkbhuzwKUJVSw4C3ASMwS2s9xW7/I8DdQBFwGrhTa33YvK8Y2Go+9IjWeqSXxi7cOJmZx4OzN7L6YBrj+ybw9IgO0mpbCB9kMCgmXtyKzvGRPDRnIyOnLuelazoxqtuFL/ouhBBVobwNd2zFRwV7/PD8QoJoZ27r34yhHdzPka0qSim2PHcF189YwdpD6day57G9EkjNKuD+IWU79vpagHptj/Mdmo0OnirYrhrhS1974RvcBqhKKSMwDRgKJANrlVLztNY7bA7bCCRprXOUUvcDrwI3mvflaq27eXncwo0/d53i0a83k1tQzH+u78qYnmVbuQshfMvgNrH89OAgHpy9kYfmbGLFvjM8N7Kjw6flQgjhS1xmUCt4zWev7kB0SAAPf7kJgFm3JnFxuwbluoZS5zO4RoOiuKTsaNx1IK4uH9/Zm7M5hdbXAX4GHhnaxvr6f7clWbOU9o2IfImz4Dk+Kpi7fChzLXyHJxnU3sA+rfUBAKXUHGAUYA1QtdZ/2hy/ChjvzUEKzxUUlfDqL7uYtewg7RqGM3Vcd1o1kC69QtQU8VHBfDmhL28u2sO7i/ez4Ug6U8f1oG1D+XcshPBdroK8kgo2gLtjgCl4ySss5kBqNpc5ybT99djFFDpZV9qgFMXm9w/yM5BdUFzmmHPmUlpfExLg57In3OWLLwAAFBNJREFUwaXt47i0velr4msZVFuW4NmgYPUTl1m3L598SXUNSfg4Tx4ZxQNHbV4nm7c5cxewwOZ1kFJqnVJqlVJqdAXGKDx0KDWb62asYNayg9zStxk/TBwgwakQNZCf0cA/r2jHp3f2IT2nkJFTl/HF6iPS5VcI4bMCXXR2vdBfXWN7J/DEVe2d7m9aL8TpvH3buM2+m+wVHU3BXbP6oRc2QB9gKaNtVt+zEuhhHRtW5nBKsZTzBvoZiQ2v2DJGom7xak2DUmo8kAS8ZrO5mdY6CRgHvKWUKlM4r5SaYA5i150+fdqbQ6oz5m5KYcQ7yziUms2M8T15YXQn62R6IUTNNLB1DAseGkTv5vV44vutTJq9kYzcQvcnCiFEFfPVMtmv7+vP1V0bA6ZAyXYNz+FdGrPtX1fUis6xBoNi2f9dzIzxPd0eO2N8D6aP71EFozKxZFDddXMWwsKT3yYpgG07tSbmbaUopS4DngRGaq2tfcq11inm/x8AFgPd7c/VWs/UWidprZNiY2X5k/LIzCvkka828dCcTbRrGM6ChwczrFPVPRUTQlSu2PBAPr6jN48Na8sv205w5VtLWbEvtbqHJYQQpfhqgNqtaRQvjuoEmKZQbHrmcronmALSYH8jYYG1Z0GLJtEhhHqwTJmfwYCqjHbITlgy11IEJDzlyW+TtUBrpVRzpVQAMBaYZ3uAUqo78B6m4PSUzfZopVSg+eMYYAA2c1fFhVmxL5Vhby7lh40pPHhJK+ZM6CtLyAhRCxkMigcuasW39/cnyN/IuFmref7HHeQVlp1LJYQQ1cFXA1SAyBB/3h7bjY/u7AVAiblRUpC/7465ohytL2qvonOCK8oypiFtJAklPOP2MYvWukgpNQlYiGmZmQ+01tuVUs8D67TW8zCV9IYBX5ufyFiWk2kPvKeUKsEUDE+x6/4rKiC3oJh//7KLj1YcokVMKN/e35/uCdHVPSwhRCXr1jSK+Q8O4pUFO/lg+UH+2nuaN2/sRqf4yOoemhCijgtwMQfVF9gu21VkDlCDa+FUKE+6+QZW8eftbzSw+B8X0TAyqErfV9RcHtU1aK1/Bn622/aMzceXlTnJtH0F0PlCBihK23T0LI98tYkDp7O5vX8i/zesnSxBIUQdEhxg5PlRnbi0fRz//Hozo6ct5+HLWnPvkJb4+/gNohCi9vLlDKq9YmsGtfbdP/m5+Ttw75AWDGoVU0WjOS8xpuY3ohJVp+b8Nqnj8gpNWdMx01eQV1DM53f3kfURhajDhrSJ5de/m+acv/7rHkZPW862lIzqHpYQoo6yD1CrcIpjuVkC1Nr4UM/dcjP3DW5p7aorhK+qff8ya6EV+1MZ9tZSpi/ez7Xd41nw8GAGVMPTLyGEb4kKCWDquB7MGN+DU+fyGTVtOa8s2Emug3X+hBCiMgUaSz8w//tlbappJO5ZAlRfXju0ovzt5qDal/z616BMt6i75KfUh2XkFPJ/32xh3PurKdHw+d19eO36rkQG+7s/WQhRZwzr1IhFfx/C9T2b8N6SAwx7Wzr91mZKqXpKqd+UUnvN/3fYhEApdZv5mL1Kqdtsti9WSu1WSm0y/9eg6kYvaiujXWD0t0ta8dvfB1fTaFxrWs+0VmhILaxCsw+67TPb9gGsEL5IAlQfpLVm7qYULn1jCd9sSObeIS1YKFlTIYQLkSH+TBnThS/u7gPAuFmr+efXmzmTle/mTFEDTQZ+11q3Bn43vy5FKVUPeBboA/QGnrULZG/WWncz/3fK/nwhyiss0I/HhrW1vlZKERnimw/U/zu2OzNv6UnjWrjygb+h9K29fYDq682shAAJUH3OjmOZ3DhzFQ/N2USjyCDmThzA41e2l7mmQgiP9G8Vw8KHB3PfkJZ8vzGFi15fzIfLD1JUXFLdQxPeMwr42Pzxx8BoB8dcAfymtU7TWqcDvwHDqmh8oo564KJWpV77ajAUGeLP5R1r55rx9vNL7b8HVbn+qRAV5Zu/OeqgszkFPDN3GyPe+Yu9J8/x8jWd+WHiAFk+QghRbkH+RiZf2Y5fHh5Et6ZR/OvHHYx4ZxmrDpyp7qEJ74jTWh83f3wCiHNwTDxw1OZ1snmbxYfm8t6nldyxCi964qp2dGsaBdSszr61lXwPRE3k0TIzovIUFpcwZ80R3vhtDxm5hYzv24xHhrYhKiSguocmhKjhWjUI55M7e7Nw+0le+GkHY2euYniXRjx2RVua1ZeW/75MKbUIcJTiedL2hdZaK6V0OS9/s9Y6RSkVDnwL3AJ84mAME4AJAAkJCeV8C1FXTRjckgmDWwK+m0GtSwIlQBU1kASo1aSkRDN/63Fe/3U3h8/k0Kd5PZ69uiMdGkdU99CEELWIUophnRoypE0sM5bs572l+1m47QQ390lg0iWtiQ0PrO4hCgecrS8OoJQ6qZRqpLU+rpRqBDiaQ5oCXGTzugmw2HztFPP/zymlvsA0R7VMgKq1ngnMBEhKSipvECyE2zU5ReUL8JMpYqLmkQC1Gizbm8qUX3ayLSWTdg3D+fD2XlzUNlbmBQghKk1wgJG/D23DuD4JvP37Xj5bfYSv1ydz96AWTBjcgrBA+XNQg8wDbgOmmP8/18ExC4GXbRojXQ48rpTyA6K01qlKKX9gBLCoCsYs6qgHLmrJJe2kUXR1CZCuvaIGkjuSKqK1Zvm+M0z9cy+rDqQRHxXMGzd0ZVS3+Fq5DpcQwjfFRQTx8jWduXtgc/7z6x7++/tePlt1mLsGNueWfs2ICPLNrpuilCnAV0qpu4DDwA0ASqkk4D6t9d1a6zSl1AvAWvM5z5u3hQILzcGpEVNw+n7VfwqirnhsWLvqHkKdFigZVFEDSYBaybTW/L7zFFP/3Memo2eJiwjk2as7MK5PgvzSEEJUmxaxYUy7uQcTjp7lrUV7eG3hbmYs2c8d/RO5Y0BzokNlHryv0lqfAS51sH0dcLfN6w+AD+yOyQZ6VvYYhRC+QZokiZpIAtRKkldYzLxNx/hg+UF2nThHk+hgXrqmE9f1bCKBqRDCZ3RtGsWHd/Rma3IG0/7cx3//2MesZQe5vmcTbuufSIvYsOoeohBCiAoa3qURy/alVvcwhCgXCVC97ERGHp+uOsQXq4+QnlNI27hwXruuC//f3t3HVlXfcRx/f9vSQkttaQsN9hZa1oJFZTz5NNChgMGHzGkwYLbJNjayxWU+JQZiYjYTE002nYuLzqjRbHO6+TAJYwIKWzKfeBJ5FCyjQCuILVC0QKHtb3+cX7tLLaeFlZ7bez+v5KTn/M7p7a+f9tzv/d17Hr49oYQBuliAiCSoi2N5PPW9Sez47Aue+udOXly9hxfe283VY4bygynlXFlZpPPkRUT6mVFFOdQ8fANlC/8edVdEekwD1F5woqWNlR8f4JV1e1m1/XPanGNmVTHfn1LGFaMK9aJORPqN0cW5PDpnPAuvv4AXP9jDH9/fw+3PraasMJvZk2LcMjHG+fmDou6miIicxgM3juXBJVsB9BpU+iUNUM+Sc46NtY38bUMdb2z4lINNJxiWm8WPriznu5eNpLQgO+ouioictWG5A7lrxmh+Ou1rLN20j5fX7OVXy3fw6xU7mFpRxC0TS5hRVUyuLqokIpJQfji1nKWb9rF296GouyJyVjRAPQOtbY61NQf5x+b9LN+yn08bj5OZnsbMscXMnhTjysoi3fNLRJJKVkY6N0+IcfOEGHsajvLq+lpeWVfL3S9/RGZ6GlMqCrnuouHMGFtMgS6sJCKSENpvXNx+o4gZVcPIG6TnaOkfejRANbNZwOMEl6R/xjn3cKf1WQQ3+Z4ENABznHM1ft0iYD7QCvzcObes13p/jjnn2N1wlHd21vNudQPv7qzn0NGTZGakcVXlUO65dgwzqoaRn60dXkSS34jCbO6eOZo7p1eyfs8h3ty8nze37GfVqxtJew3GxfKZWlHENyoKmThiCAMH6IJwIiJRaHPBELX9CN9n5l0SYW9Ezky3A1QzSwd+B8wEaoE1ZrbYObc1brP5wCHnXIWZzQUeAeaY2VhgLnAhcD7wlpmNds619vYv0huOHD/J5rpGNtU2srGukQ17DlN3+BgAw/MGMr2qmGljhnL1mGHk6Kb2IpKi0tKMyWUFTC4r4P4bqtjy6RGWb/2Md6rrefJfO3liVTVZGWmML81nXCyPi2P5jCvJY2Rhts6HEhHpA679I1T0nCv9T09GWZcC1c65/wCY2UvATUD8APUm4Bd+/hXgCQtehdwEvOScawZ2mVm1f7z3eqf7PdfW5mg8dpKGphMcbDrBwaZmag8dY1d9EzUNTdTUH+0YjALEhgxifGk+P/nmKKZUFFFelKMXViIinZgZF5XkcVFJHvfMHM0Xx0+yetdB/l1dz4d7DvPCe7s50bILgNysDMqKchhZmE15UQ5lhTkMzc2iICeTwsGZFORk6jZcIiK9wPkRappeuko/1JMBagmwN265FrjsdNs451rMrBEo9O3vd/rekrPu7Rm49al32VXfRHNLGydb22huaYt7N+l/8rMHMLIwh0vKhjB3aCkXx/IYF8vXuVQiImchd+AAplcVM72qGICTrW1s3/8Fm+oa2bbvCLvqm9hY28jSTfto6+I5OTMjjayMNLIy0rnt0lLuvXZMH/8GIiL933mDggvY6RaH0h8lxHGqZrYAWAAwYsSIXnnMS8oKqCzOJTM9reMFT352JkX+XfqCnExK8gfp/FERkXNoQHpaxyes8U60tFF3+Bj1XzbT8GVwZEvDl800nWiluaWV5pY2KoYNjqjXIiL922NzxvP6+jouPP+8qLsicsZ6MkCtA0rjlmO+rattas0sA8gjuFhST74X59zTwNMAkydP7uI99TN336wLeuNhRETkHMjMSKO8KIfyopyouyIiknSKBmfx46tGRd0NkbPSk8/91wCVZlZuZpkEFz1a3GmbxcA8Pz8bWOmCg98XA3PNLMvMyoFKYHXvdF1ERERERESSSbefoPpzSn8GLCO4zcxzzrktZvYgsNY5txh4FviDvwjSQYJBLH67vxBcUKkFuCNRr+ArIiIiIiIi0erROajOuaXA0k5tD8TNHwduPc33PgQ89H/0UURERERERFKAua4ubRshM/sc2N1LD1cE1PfSYyUj5RNO+YRTPt1TRuH6Kp+RzrmhffBzkpZqc59SPuGUTzjl0z1lFC7y2pxwA9TeZGZrnXOTo+5HolI+4ZRPOOXTPWUUTvmkJv3dwymfcMonnPLpnjIKlwj56OZIIiIiIiIikhA0QBUREREREZGEkOwD1Kej7kCCUz7hlE845dM9ZRRO+aQm/d3DKZ9wyiec8umeMgoXeT5JfQ6qiIiIiIiI9B/J/gmqiIiIiIiI9BNJOUA1s1lmtt3Mqs1sYdT9iYqZPWdmB8xsc1xbgZmtMLNP/Nchvt3M7Lc+s41mNjG6nvcNMys1s1VmttXMtpjZnb5dGQFmNtDMVpvZRz6fX/r2cjP7wOfwspll+vYsv1zt15dF2f++YmbpZvahmS3xy8rHM7MaM9tkZhvMbK1v0/6VolSbA6rN4VSbw6k294xq8+n1h9qcdANUM0sHfgdcB4wFbjOzsdH2KjLPA7M6tS0E3nbOVQJv+2UI8qr00wLgyT7qY5RagHudc2OBy4E7/P+KMgo0A9c4574OjAdmmdnlwCPAY865CuAQMN9vPx845Nsf89ulgjuBbXHLyudUVzvnxsddsl77VwpSbT7F86g2h1FtDqfa3DOqzeESuzY755JqAq4AlsUtLwIWRd2vCPMoAzbHLW8Hhvv54cB2P/974LautkuVCXgDmKmMuswmG1gPXEZw8+YM396xvwHLgCv8fIbfzqLu+znOJUbwRH4NsAQw5XNKPjVAUac27V8pOKk2fyUP1eaeZ6XafPpsVJu7zkW1OTyfhK/NSfcJKlAC7I1brvVtEih2zu3z8/uBYj+f0rn5QzomAB+gjDr4Q2Q2AAeAFcBO4LBzrsVvEp9BRz5+fSNQ2Lc97nO/Ae4D2vxyIconngOWm9k6M1vg27R/pSb9fcNpv+iCanPXVJu7pdocLuFrc8a5/gGSuJxzzsxS/jLOZjYYeBW4yzl3xMw61qV6Rs65VmC8meUDrwMXRNylhGFmNwIHnHPrzGxa1P1JUFOdc3VmNgxYYWYfx69M9f1LpCvaLwKqzaen2nx6qs09kvC1ORk/Qa0DSuOWY75NAp+Z2XAA//WAb0/J3MxsAEEB/JNz7jXfrIw6cc4dBlYRHBaTb2btb27FZ9CRj1+fBzT0cVf70hTgW2ZWA7xEcCjR4yifDs65Ov/1AMGLqEvR/pWq9PcNp/0ijmpzz6g2d0m1uRv9oTYn4wB1DVDpr9aVCcwFFkfcp0SyGJjn5+cRnNvR3n67v1rX5UBj3Ef9ScmCt2OfBbY55x6NW6WMADMb6t+dxcwGEZwDtI2gGM72m3XOpz232cBK509YSEbOuUXOuZhzrozgeWalc+47KB8AzCzHzHLb54Frgc1o/0pVqs3htF94qs3hVJvDqTaH6ze1OcqTdM/VBFwP7CA4Jv/+qPsTYQ5/BvYBJwmOGZ9PcFz928AnwFtAgd/WCK6wuBPYBEyOuv99kM9UguPwNwIb/HS9MurIZxzwoc9nM/CAbx8FrAaqgb8CWb59oF+u9utHRf079GFW04AlyueUTEYBH/lpS/tzsfav1J1UmztyUG0Oz0e1OTwf1eaeZ6Xa/NVM+kVtNv/DRURERERERCKVjIf4ioiIiIiISD+kAaqIiIiIiIgkBA1QRUREREREJCFogCoiIiIiIiIJQQNUERERERERSQgaoIqIiIiIiEhC0ABVREREREREEoIGqCIiIiIiIpIQ/gvDCzv4ZGSmqwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 1152x144 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "window = get_window('hann', n_fft)\n",
    "wx = x * window\n",
    "\n",
    "fig, ax = plt.subplots(1, 2, figsize=(16, 2))\n",
    "ax[0].plot(window)\n",
    "ax[1].plot(wx);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "((512,), dtype('complex64'))"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Compute (real) FFT on window\n",
    "X = fft(x, n_fft)\n",
    "X.shape, X.dtype"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "((257,), dtype('float32'))"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x216 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# We only use the first (n_fft/2)+1 numbers of the output, as the second half if redundant\n",
    "X = X[:n_fft//2+1]\n",
    "\n",
    "# Convert from rectangular to polar, usually only care about magnitude\n",
    "X_magnitude, X_phase = librosa.magphase(X)\n",
    "\n",
    "plt.plot(X_magnitude);\n",
    "\n",
    "X_magnitude.shape, X_magnitude.dtype"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x216 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# we hear loudness in decibels (on a log scale of amplitude)\n",
    "X_magnitude_db = librosa.amplitude_to_db(X_magnitude)\n",
    "\n",
    "plt.plot(X_magnitude_db);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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bQjyOzrkrZvl2MykUve1vZuea2Xozi1nAh/xhBMePh7wOnwLwZjNbZWY5AO9GEOR3qHyvmb1pnlWm/nek4pzrQ2CU/KOZNYb1X21mF89WzsxeaWZLwz+HESwOVU/9PgHgurCNzMzqLKC8mumNkv3JzK4yszWhwTCK4NtXw7rP67uF/SSDALoQD8dVIvxtCQJM8kecc2pD/CkA15rZ6eFYeB+Co/7RsPwtVkPndZSy0G/7l+F8ciECHO3XFvKwsOxrzawp3DiO4cn23TVL+9Y7574Q3mPWNjSza8ysJfz25wB4J5gJ5PUAbnfObVtI/RHEj/yqr1rgOf4hAnjPrKcfYb84CQF+uRsB1eJ85WMA3mNmm8J7NZnZK8P/Pzvs60kEhnUBT46NXwJ4uZnlQkNWMUwdkqMZ53PNk4fJHON5NmlAAEsbDfvBH4trfGvFfOaF2aT225+MgK3m951z3xHv+Aozqw/nuMsQbAqur7nsjQC+4Zwbryn7JjPr9VXEzJLhHBMDkAjnmEPUgbPWC3OsDQi+W69zbucM3cUITo9OeIkM7eeu/AuAV1iQeOLDCyjXgMBYG0bgHX4xgCvck4E6yxEcIx0KlMgjDPawwGP0NgCnA+i3Gq+SBR6hQwwTRyXOuS0IJqF/RRBJfjUC47I447IvIjDQtiPwLHyw9j6z3L+CwCg4HQEm8yCA/0QQODRX2SKC4763IDhKex2CSWk6/P0xBAvndguOIxcCafHKXO2PYEH8AYJv8FBYn1fPqPd/IfDW3Yng+HQagcFxKHCpDcDP51mdTwLYGL7ft4723RAclabwJDPA1wHMRXV2NoA7zWwCwWL1By6kbEOAHf1MWL9XOefuBvA7CI7ThxFAQd5Ucz9ff1qLwFM6gcB4+Khz7uYFvt97EYyldyPoL3k8GWz52wi+3ftnfNOJQwVDGMCfIaDtGkDgWZoZBNiDcKN8jOT9mNF2c1zbj6A99yE4Br8u7P8LldcD6LXg6P86BMFrC5FZ2xDAbyL45uMIxsDfOedqj+aP9Lj+OwA2zBjn1yLom2+2w73vMwNYfyOs3yiCvjsI4Ez3ZOD0nOKc+yaAvwPw5bDdHkIQiA0AjQiMyGEEY30QT9K5/TMC2Nl+BO/7hVkec8TjfK55Ushs43k2+UsE2OdRBGPkv8U1cmzPNS9YkHRpttPgjyPgkz7klX4XgsDUT8747jODDv8Awbo7guB7/I6bwUkeGsqvgu6Hc43zTyCYV16NYDORRzCu5qzXbGtDKK9FsLGbWc8rPfU84eQQvU0kkTztYmavA7DJBawox/tZvQgCen50vJ81HzGzOxEEuX7q6a7LkYiZXQDg91zARPGck2daf5qvhB7Arzrnnv901+W5LGb2VgAbnXN/+HTX5ZksT8c8ebzHtpl9EcEYPBYOh9mecwOCzcejx/M54rmdCGgXz3BBjAjM7PcB9Djn/uSprMvTJZGhHclzUp5uw8gCWMMWBJ7wQ7v9VSEMIpJnmTzd/SmSSE5EeSbMk9HYjuRo5bhCR8zsf1kQYPeQmX0pxPysNLM7zWyrmX0lPHKGBemhvxLq77QZ2erM7D2hfosdzlP8nBUz+zM7ygCqSFiewnZdjyAQZATBsdwrIiP72Et4dLvQ4N5IjpFE81QkRynRPBnJs16Om0fbgqCCnyE4Dsub2VcRAP+vBPDfzrkvh4vd/c65fzez30WQUek6M/tNANc6537DgtSeX0IApl+MAOu4zj1J8xVJJJFEEkkkkUQSSSTPODnewZAJAFkLouNzCOh6XoAnaWc+g4AcHgCuwZPA+K8DeGEYIHANgC8756adczsQBBt4I48jiSSSSCKJJJJIIonkmSDHzdB2zu0F8A8IMnb1IYjovQfAiHsy6cAePJlAZAlCUvjw91EELAa/0osykUQSSSSRRBJJJJFE8oyUBWeVm69YQLh/DYCVCPBVX0NABXe8nvdWAG8FgIQlz2xOHJ7Y6WDp2MO6fEn5Dk9eFkkkz1RR++z50M5GEkkkkUQSyXNP2pOaNfZgqe+gc65D/XbcDG0AlyLInHcAAMzsvwGcD6DZzBKh13opnszUtxcBz+OeEGrShIC785D+kMws8ytxzn0cASclOlKL3cs63nbY7/+5b94UyfMWP7z9eDZrJIckHueMwJXK2NNQk2enxCxJurUt15BuoKjZoIYnHpb6SCKJJJJIIjkRpda2PCT/ue/9O+UPOL4W4S4A51mQJSgP4IUA7gZwM4BXAPgyggxGh7JrXR/+fUf4+03OOWdm1wP4opn9E4JgyLUIsvI9pWIiw7h7RmUyfu5JU2456YbGjzrXzXNGchnOZryiuoJ0yWSadAAQb2T98OQW0lUqkwuv3DNcMmmdQ6hUniBdMlFPusL0grOMRxJJJJFE8iyU42ZoO+fuNLOvA7gXQBnAfQg8zv+DIBPVB0PdJ8MinwTwOTPbCmAIQSYuOOceDhlLHgnv83vHinGku+l5Uj9a2E26/PQe0injO/hBGOXuuXEkH4tpo6xa9SXzOopnCY9sQ26tvHZ86olj/vxni/ggTqekGMmVNIaTNFR1sss+0adPRKNaSWt2jdSPiXmiVJk63tWJJJJIIonkGSrHFePgnPsLAH9Ro94OwRoSZgx6pec+HwLwoWNewUgiiSSSSCKJJJJIIjlOcsKCieM1TuVUspOuaYnx0TkAdOXWka6UY49sb/52WX5FlrMZH6zuIN3ghMa+Pltwxsp73J7WHuWREsOXJgocoFoqD837+YXSCOmel75WXntP/AZ+VqVAuhPR831q82ulXp2yxMQpzXhsVJbfiAtJ19+6knSjFQ2TGBi9k3QKd1+tMhwDOD6nRPF4HemyqS7S5WItsvy4cZ9uyDDMpFgakOXTqW7SRTCTSCKJ5FiJmuOA585p5NGKB8cwq5yQhrYDUKpZg+vSHAzaXG0nHQD0JPmo/P4qG2DnpF8uy3fGs6S73fWTLhHPyfLK0FbH/08lu0lrwymkU8Fw56VeKsv/aPIHpGtrOJ10B8e0oZ1K8rdalmE69RVZbnsAuHuMjbJ0ooF047I0YAJS8VTCgY4m8HOxDoRGXLxTT32KdFsmNexnaYrbr6/CbVKqaENZC6PCjlc7JxOtpOtuOIN066unkW66UpL3jGcYztReYeP5NnevLJ9LtZEuMrQjiSSSYyWtdSdJ/YGxu5/imjx35IQ0tA1ArGbbcXL8BXTdhjqNPW3L8J6lOsqe2iGwRxQAGlNx0jVU2KM+mTogy08X2ShXePBsZpksP1XYJfVHI7k4GwB1zb/GF3riQzc0v4J0I47IY/zPT2ljsVayCb3fTMTYAB+afHzez3+6MfYNGaaOnypmSLe4ng3FRRm+DgAGp9lYXM22M/ZMrp5HDQPZOvRt0rXUb5LXntX8O6S7e+QTpMsdp35el2ZPdSuWkm7CGGO9LKE92qUybwjvLXyLdNk0PwcACiU+PVCxCMkkj0cASKnN4wl4ShNJJJEcmWTi2u6JZH5Sa1vOR05IQztuhsbk4a3Rk+YFaHWDbrHxMuvXNvFit29K5/uZrrC1eUp8/saKYnOoj7OhOVbWnq5EfD3pCsVh0qWF5x4AypU86QYmHyLd+vorSHfjyD/Ke57R8mYu784mXbZFGzDDJYbeLHFsfO6e0J7G1bGzSDcEhu742CSUAaPa1AcJOFqZmGZIggowbXdslDamdD9vy7D3ujnJGwofjWVjivv/SS2vIl3V9CalscJsHAriVZ/WvKXK0JYBysYbXwDIJtmjff/wZ0j3vKbfJV1XVk+dq5I8Ts8ucd9/bFwHSI6Cvf87UveQbmmcT5gAoAw+5Xq4wAGa1SqP8UgiieTEl2boNa4v0Tyv8r65IyacWeUywzuf7WKC7GIuOd4p2COJJJJIIokkkkgiieQ5KSekR9sApGuiIcdK7OkZKWlPV3OSXXgCDYI7B+dP27U4zXjspjJ71ABgUsA0ksblfZzR7Y2bSTdWYn5jhQcFgMniftJtbnoT6VbE+Jj8+UveK+85XguaB5AvK3o4DqYDgAZxVL4kzTvoH+R/LMu3x1aRLiPgKMWSxj3nReDkQgI3j1YqZYYUtDeeOa+ySc92elMjt3+hyrv116zUN7iZuwlWOuY232Z8GgEArQmGtDRl2SOvgiYBHTioYFdpge8HgLSxR319K0Oc2hxf53FoY0qETagThR5PLEFhqki6iWl+p2pOw3EKxh7xuPA0LcSjrTxVCyvPJ3THg+5zIaLgOFWnT8OOh6j4gKdyPnm25IWIsi8fe2muas91TLS1av90UpdvzfCpfanKNtJ4UWfpnsz38vOfgf30SLzTJ6ShDWMcTSrGzTPpmVer4juua2CjZEMDL8AA8Pg4R+8mBLCnK6ahG6UqGxu9ZT4+9vGAp2JcL3Xt/tGfy/JLWxjPvhi8MEyKgLD1IhgMAG6bYmNrQ4zfM2eahxtVDgZcUsff9LqGF8nij47wxHxRGxvfe4WhAwCPO67/nun7SDfpwQ0frWFhMYZ51McZZtFcZYhLl4ZoY7TM7beunjcUVaePykpV3n3eVeWNzkuzV8ryapxtKHM/bWpliBAA7Bq/g3SKCUdBoQAgbQJOVuWNXnOK+/RoUU/2apzXMiAB+t0BHTfSG2Mo2I6iHrtxsTBWj9IocVUdizL/8npMHWtRGy8ASIqg88lC77zvezwCoRvFhnJwfP6G9tEaIOra45FpdyF5FRay+VEQs+MF2zsekhAwjacKZpE3PZ6LpYOkU/E1vr4/mOdYEAX7a0mvkOXVfacFs9jTzcp2BMiRE9PQrjpgvHT4RNKW5lfNeN6+J8eT0JKs8DQ1agumP89GkZIHnCeLofiQ2TgPzA7T3t8RsKuxKc7GykRWl28CL1jXD/8d6d67+v+QruixIC5vYqNWQNnxr3v+TZZ/SePbSdeZ4RssymijYrrCk7gygHZN6vqfJDzizcJT+qBjdhUAmMhvJ50yDEqlQVl+RRNvIHqqXKeHwMbnbyR54wQADQme2HZO8cLYmND5oZqFp/bMPD9LXQcAg9PzM1a6KpqGs1LPi3Df1C9JV/UYelXBcLKygcf0CrGf7snqfpaMcf8xYdRk4nqOKIoTheY8YypXJzRGe8J4k19q5Pd/cPSrsrzyVCujzBfMqRJ7LcQAVOxGagFWQaPeewpPmxqPPjkegdAjU/N//tEyTs3XgG3M8jhTzFKApohT9HApT9Cu8p4uJLi56rhPH4+Ngi8pXUvDyaRTJ8xqkwbM36g+2tOkVS1XkW57WW/SG+t4Qz8yyXFMzR7WkoqYZ9VppC8OqjvHY39PWZ9mKlH1UvVX4wGe7yQ3hPOu0dGViSSSSCKJJJJIIokkkkjmkBPUo+2I+WNCYIQ7PUDLTJyvnarwMfmynPaUndHG3ipB0ICBfo2zLIoM81XhFRo0fdRYcoKOrMopoweT2qtS7/hI/bcXa+x1rawVEBsAuPOgYHJpZN2F9b8ly7eIE4mc+E75ivZANAjc/aMjXP6OMie2AYCNMU7OkgZ/57zAtwN6tz0mMGm+o9Kksac1JXbmV+VeSDqf47hDtN+5jcwkPlnWcKCxMnu11GnO42MaNpOJ8ZhSx5pZ58G+CGkRpzQGHYtRdlyvJYLavjGhPNK6UZPG105VePB3pnX5x8f52tYqM/HklFcGQEKM3WGw97e7kRl/AGDfyE9Jp05e4gLKtBBR7DQAkAH3qccLN5NuUY45+A9McxwKANRBMxk9naI8rYubL5LXDkw8QLpknI9ZimXtvVXPUt7fhZwSKO+1vKeHA15BJxaC5VfvvzC+/vmJ7zQmEeOJYiG4e0VZWigy3a/yXi8k4YwDzzMdSfZcA8BQuZd0KZHrYlFc2y2P5P9b6mvF1ycKGY7v6RDQlbFpTQusvNf1WT71nRIMXu0Np8p7Ko98BB0JJRkzdGUPX7CmyjxgfDjJfXle7HJxvrg7oyeBboFJ6UqLYMyiDogaEpaRwg6nPYlIVsUYFzVe4fKNcX2EUxaG/uIct8n9Q+r9NSbvBV1sQA5MC+PZY0AkJXklfxN19A4AY8J+fajIA74uodv0jvHPkW5pw7mkaxYYYQBYGz+PdHcKfmPfYpty3Fd6Y7xRai2xQb93ShpEe74AACAASURBVA/zZbr7kSjoA8BJoQCgM8tG7XBRb0g7s9xXMkXGXu6Znn/GspPB7dxvGrtZL/DsHcIA3pvnd3poRBuaBws8dqYqrHtehz5MfGKUO2pDjDca7Wn9/PvFIrSzzIkoFC8+oI/KSyIQVwWdAkBHI9NoNiUYtrZCxKH4nv+EOHgtgQ2QkiezXQrc0Y8Wd320GGkVM1P0ZECNi++vIDqq7QGgIjaUaWEU943cRjof9EFBGuoyvO6MTWrjX+UFKIrvpwLkACAhksJlU7yhyhd1HJVqv4UY+mOF3aI8j0lf+9WleJ5TCdQUdCfngV44sW4PFzm2aHmKE70BmgLXHNe/IMYeoA19lZROwYYA4KAwlFsFnGVl5nxZPpnhvB73DX+K7yngaWkR1+aTiEc7lJgBdTVeKGWondw0f5xlXHiqfA2+fYIX5qUC492W1hOzyti3d/4EJ5iq8nuppBtqsQK0B3HrGN8zE+f3/PFBDqgAgHPbuCOPlbn8ivr5ey8Vxrvg8Wj/8x5OhPLWLpEwZUxbn+MZNsp3jnDg35qWq2X5dIUn4e4mNtQzxgsgANQ59mKsjzFONl/myXZVvW6TnAd7XSulql4sFENJXmxoz27XGVAbxSnDduHRrUzrelbARumE4z69p6yzMJ6XYB541VIjIvCx3dNNx0tc/00t3M8VVz8ADAt2mzV1PHZqWZUOye6p+0k3URCnLJ76q0Do3cPcz30GhDKqpx0bkLtFqnoAaKvyBuCc1DWk245HSOdjUVIbKmVUK48kAFSqbEAkRcIiFXQJAAlhwLXEGA/9+JiO71DYaV8sh5IlCZGB1/EmXbFVDXkw2krScZHtyiPtqXWk2zP5C9L5MNKbUnxyN2F8GjcUZ4MYAArCyZJLc9/NF/V6drTZWkfFBkJlilZBn1OeZysnz7Q45bioXm9yPz34ZdKdnOTYoF1lJgEAgFNaXk+6hDAxm6qaBOKuBDtEUsbr8f6KPrnaaM8n3aJmNsoHJ7l8XT23M6DjIyLWkVD2Fvrxnsf/4TDdRza+i65bL47JAWB/nj/ulgmeLO8b1l6lR0Z4F9wlsvONlfQkogzIqsgacj/ukuXV8e81rX9KurIIpgOAjgQbdXUJ7l4rRcKfzaYXu8dEUys4TUaf8uOXI7xYL68XxrunTd+xmI3qwQK3acW0UdeSZEhCtkmky3bagzMQE9k+Hb+sr/xiEQw7Llhfnt/BfbcpqTeUY4Lesj7JOudZ7JQoA3DnhG7T9U3cARRjT8k0nEbR88XENLg+wbAfAFiU5TH5yCjXf6LE/eSMFu39nBCbx+U5fv9tk3rqXZTixbYkjt6GpvU37YyzAdNZz7phpw2QVVU+qk22cJ9SR9KAPnmZqPICOhbTpwz9jr1aFyYuI11C7BTiHsaiRgG7UrIQej3llYvF9GmcSoxUMl4jkgntVVNeTWWAjnsMsPYcz/ObHG/yfzT2T6TzBb7FYvz+ynPu27wkHLfVtNg8+Oj9kqL8gNsqr1WiNlpT4jQo4dk89DRezs/Pc9/1BXiqTMdVMaZUPX3sKgp2qMapL4HZ6ckXk25vjD3ii2IaOrLYcabdMQFjTXhM1bJwMrQZw0nuH+OkYgCwRSQV7B9hcgDVp5UzAdD990igI1EwZCSRRBJJJJFEEkkkkRwHOSE92t3pbrxl6XWH6R4bY6/QBZ3aK6O814sFbdzGBu1VWt/AO6teAf3ozOjn37af9U1Jvuey0kZZflkz67uzXH55XPPOqpTbLWnexq0R9Go/GdBdSkEKNjbzPXs9KdSHY0yHNDjNHqAVdbpNeyf5WaNF/n4HTHv6VIBpLsbHxxMV7W2YVpjGGHvEtw5/W5bvXHIx6RS/c51o/n15/U2GitwmLSluEx9GW1HcmZhStnugJzf1s/e6P8Ywh1FoPPBQfhvpyiJuokukpQeAR6fYg7nJ2INxSgu3kwrEBYBlIpZBBU62e4Ih+8QxzyMTjJFuEcFYANDjGE5UEV6xUlxjT5sFnrmuyh6g/dDe3ylxfL8SZ5BuyIObbxTc8H1VHvt90wyRyXhSSJfE+69oYY9kUcCOAKB/lL1iCnowXdIe9ZzwijVVmRp0W3H+PNC5LHv6fHhmE30yJ7zvp7W8kXRZcUIBAHeNfpJ0yqOqeO0BYLjK82xaUAEqLDUAPOb4myxEVOCmwsI3ZjWNZbuYU6bS3E99Hu2kCGhUGOmDaYZYbS9x0CQALE0y9CeR5Pk4JaCxAHDr6L+S7qUtfBL+EDScaJ+Ak42Lca7aDgA667Q9Uys+vnyVF0QFnY6K2CjV9wHg/mH2nkcY7VBiALI1wYsbGvj4dveEjt7d3MwGwMA0T6Irm/Qx/xLBUJJL8MB+YlwfNd5Z5ijzV7XwYoVxfSxX50sFWCO+DrNTGLvFKneVkwXU6sxWbUBMCey0SAwpjXwAWB3jwdUt1oA7D+obKIaTfsWx6mm6iRIbgF1J5ufNeIIqmgRzRFawlqxq+t+yvKrWlhH+Tut6uO8tyuhgxP0Ffv4Do2zAranTRtmoJ7NqrQjUEQDg1GYef8OjvNitdpozOpPlMbVcZBYdNs2msFwEvm6Z5GuvWMz1VDEbAHBGC88d04J1xAfHScd5nK0S77mywcOkIsbU9wf5SPzCtD7+3TLFxsLKNA/0PhUJCw2JqBc4y3GnjdIhAWkZFHznp6Y4CdJ4TH/nA2BIgsq0m/Owk+xXXMZi7nAeQ13lMEhWheOjmXHHADBZ4fp3x3nzs80TzFkx3hBPCdjZWIwNuJInZmRtC+PmYyJw7tFhzdeebeK1qy7NmywfRGlpnOeEuOOx0w82qgAgJdZjFaC5JKaNPwXpUHhinwyO80bxrKZLSKcQ4l2eoNf91cdJtyi2gXRpz3z8us4/J93Oae7n52dOk+V/WeRNxVCxly/0EBad6pgJaRd4Q+tjPLqo6fdJtze+k3RbxeanUSTEAzTG2xMeM6uckIZ2Ju6wvuHwiWR3nie2ERG4BABr60VAVxdPQtuHNai/M8cT7qp6xhjf0Kc9MKsdR9qqLJYVj1Van+SekBW943vD3AkB4Jo29pZohhZeAE9u0rj3h0YZ66ZywywXpwEAMCYC0hQTzMkt+ps2J3liPKOBPSg7JrSn8NEUv+uYoFfsrOgshirjZVEljfAEVN049RDprm3ipAlJgTFf7olFqEvwwtCcZqO8KAxFACgIT3WrmANlggAAI8KjflqWmQt8E1thijGBy3LcfsP5+dOWXbOYx+SKejY+mzI6u9q+cd5orWzm548f1LEMDWLsdmS4nX2Gfoto/0UibiLjadTlaV5wFGtKD3TwUEkEM6rg7kkMy/LTwoAtiOQej8XFNxHBwQDQAmZpGCmzQb/OmLEGABYLKsRChb9pR5wpVAEgLvDEo2LuUEGjANCc4GDICcfGd1eW5wMAGBcY+UUZXmMaSkxxtreqv9Ma4X1WRplPVCxFT4ydSZbVc0+32BRts17SDXkSEzVlRHKevMAj17GhGlRM1Mmx936v/UwWX9HMJypTIuHL3knOCN2V05tkNc+uFgxkKogdADIJ1i8VdKENHkfe2jKvfU+Uee1JpHXMRE7g/jfF2BbZUKc94ipT9WiZnQwq2+Wjjhl3AKBYnj/j1WxyQhrag9MOn99x+EL0ltXciUue1NLf2ssd4TWCeieX0NCRG/t4EjqpgRfmVs/WsqeOjYUBsa776Al3CY+0go4URBY5QHNO154QANp7NlXWXapdQBL6hUe1Xgx2ANgxzt+vTrCedGd04F3vJD9rvdgndWa1oTsxwAFlGeN79sb1xK44m8vC+3frsJ6YNzUx77Dy6PdOcZts9vTztix3qkRMBM/kfNk2+Vn9BR47vn5aEFG/KoukYMwLni/ar3eK+3QO+puqMdEkNmRJ0SZ1Hg79fQP8/ovquU7dou0BoOK4TzWIIfX9fdp7enYbv+uo4OItVufPg313lRf7i5KaIiyb4DZVsLHl0zyeAODxOBubKXHMrjzS6z0nHyoHwX1jTHm4QVDuAUBFbIjVMX/eR3sGHj8DZfY+qg0FALgU978DIkDygvo3yfI5MU8pFi7luCmZ7ueNKR77QyJIz5eCvV5AhDrFqV/S9MlNe4b7WZswdEedhp2pQOpqlttZeYkBIBPjDekaxwbc0maG/AGa2z0v5rNmAREqVPWGRp2c7C/zeBov6ZObcc8pVa3cO6GhKypAtaeOg26fGPqmLL+plTc1cZEDoVDVC8L3R/6BdOc1X0e6vXE+5Uh4aIl3jH2P63QE0ZBRMGQkkUQSSSSRRBJJJJEcBzkhPdp1iRjObj98Fx9XdErCUwUAVy4StG8Cf9aY0Lv9z/VxAMeZI7zbvHyRBzsrErko2rqWtN7t78+zB+bWyV4u7zggBwAeGuZ22SqO39dk2SW8plHj3l++TKHN2Cvw6Lj2tOWE91phzJfmNOH4UJHbtHeS76m8+YDGyd40zcEXl2e0V+yzBz5OukvrOADjea3aU6i8wsrTOyCcak+MavxZc5L7yf2j/P2uXqY5j3sn2at4834eJxs0wkrCF3bm+aXGS9qDoeALE+Ax1R/XAVU9RT6lahMQoQN59lJnRdsBwP0j7NXJxNmDVO/hMF+S5Q99j6BM3tSk8aD7pnjsDirsrQeTqKRDBC/tL2qPfLvAXi+t53FWl9SxDGscJ2z6cZ550BMCilXyeLqaE3ytCoaMeY7UO4xx/wpjfTCmx0lzlfvpsODy7RI81gDQKI7/YwJi96jjLHYA8LzYJaTbNsVe0V0xpsdrdfxsABgrclsXwN7TVc1MGQcAHQJid2uRMwtuTDOPMwB0mUosxt9vndNt+mDlFtI1JBiKpk4jAKB3+IekW97EcBzlOQc09KdDrMeNcW7/nIBzAEBMQPn2xth7W6zoNeb2MvefS1IMp1InRIAOUL08weNsSRN76QHtqb6nynWa9iR22tjym6TrBC8+Y+C+013V/Xx/hiGbRwDRPjEN7f2lYfzjvsMH7T9nX0bXNXr4hTe0sFF530EO3tg5qbFGH1zLxsqIOJbxLbbKKFTHFXHPecRwlY3NxabwrLr+D06xUfyybu6cpzXzYntwWuNxdwnsaoNo/w6Rah0ALunml905xW3SmNQGyKRIEJIX0AVfHOlJgvO5Kc8E+UXP6dtJ9ZwcpVkwyQx6sigq5oiDBW6rZWJe9+F51Ubz0kX87Sse1pCSMExeuoQN0IOiPwNAThjaEyJu4udFnaBgU4wxsaOCh9yHfT1Q5M23YgNRG7qJab0hvLybn7VlnDckU54I0dpEWwBwVjtX4G5P0G+zYAdKFtjQHJzWG4VpkV0uLpaJAdOJPB4s8lH7a92lpPMl3FHQoTOmGTv8yyovgGkPzKAgMOZqtSx7Au+KAhKyN8aGUs7pHWVBJAuLiwBLBQcBgMZGNgIUE4rC/QLAdscBZWcKSMLYNK8RXdAB918f/k/SnVLHybr2VjmxEAD0FTkYcFOa69/rfinLn+zYAL+pwAlvlkOnG98Qu4CV4vM/UGKDGgDqsitIZwIgMFzScVDnCwP0xsIXSKegIwNl5usGgLiA6agNqYrhAoDVVYZeTVe4UZYKxwEA5By3aUJMnutF/gsAeGiCoVNJwa60f4rJIgBgdT3DuUoqjizBG+ddTscirM9ygHLEOhJKS7wZ1zZee5guFeMGbxeBXwAwKhamjYJhpOrZ2zwmAv/aUryw1XsM/eEiG8Aqi6RKbAMA57dxQJcy1AfyHooykfWsXnh6pwRG98wOTfv18BDXacBjlMs65dgomqxwOzkPHlmJSji4QySxAYDNInZty37t1VPSLBZhZVQrgn8AuGeKo/fH7NdJd55j79nFHbqeyzt5Yjs4wpvEQZHACQBMGPBKp/D5AHD3MI+z5SIQuXtEpxweAr/XPYJ2zCfnd3CQW0mkXG4Q3uu4hyJrpMR9Oiba5IFRPfWua+AxqYJ+e/M6vuLMDM89ylAsiOyxAPCTyU+T7ry615Kuz3RykKvqeGFSiaEUtSYA5JoVZaU4zRKMN0tFAiIAuLnwIOmKArc+5EuiU2IDuCnJgZdT0EG3ebGIn1P3GtLdNvoRWX5KlN/QzGO/3mPoK2O1IbmC71lhg/5LB/5a3vNFzZwALibWw+UJjVG+pfo/pEuL+AQfbr1OxPKcFWPv9c+qt8jym42NwoPgNb4jrQ31U4zx2LeWGM+7OMGbRADICC/ZSxvfQLob8kz3WijpfqaCJC9Os/Hpy0jdJ07+zqxndps9k9pBuD/GG7pd07yevSjHmUoBoF3EYrSDjf+TRDAjAMSEjTNe5TWiK8HzxGhF2y1rwUa5jx5xNokw2pFEEkkkkUQSSSSRRHIc5IT0aKdjRunBOzOCTN+Ds7xniD0DL1nDu714QnuEdwvsakV4Wn1sDCoNuQjc9yClABU8XBFeNZ9HfLfYMa+rF8ffii88rdv04TH2VqyuE0wk03rvlxP8worJpTmlTyl2TokkQoLJ5Mx2DQkYFFTSE46ff3+RvRoAcHU948dS4vh8U1p7jydiDD1ZFuNj3Uu7+J0aPSc3VQH96GxjOqaB3XykDAD9Bf7+K+vYU7hjUr9TUQyAvcKhr45kAaApzh7xVS1XkW7n2E9l+XYx0EZL3M+aRJ8a8Hj5x4WnVXlAlOca0GNSnfR2iVTtgOahXyEw1tmEnvpXNb6AdAcdc8hvNs3l2ygqOzQtUshX9MnNlhF+r2mB3dw6wp6+q5Zr7+H2/h+QTmGH+6bZ8w0AHWlmQ1D8zooyENDH98p750uakRD80PeM8MnNxU3vlOVPBXMB75rkPq3iYK5o/iN5z7zjuXtQwGlOMk25eG5cw1xqZWlK5I8AMCYWOZU/ol6c8AGaR/yeiS+RrqJyLQB44WL2yp5X5T7lo+DNCuiYsgfaU8zO88SEZu1oyTGcRjE7+aAPRXGamhIX++j9dk3cRbq2DDPB7JrUJ6zL6tjT/I1xXk/XG0M2ASAnmEOKAmO/I8/fdG+ZoUwAcEYdwxMn9GHcrHJCGtqJmENnDdZSLaB3D2ms0YUdbGzsHeTgoZ4OfYSzWvAWHxQLc9UDc+jJ8SRw3zAbgGMeQPD2STZ2ksJYWZLTlDaKX7oijEqF/a3zJDfpFlkwVfn1DdooTIprVfuNi6N7AHh4lK9tTfO1Hhpv3DcosusZf6eejDZAVOCqmoR9zEHnCqzegQI/X0E3Bqa0UVgoc52WL+Vj6tVtGr/WKAxQta40eGIR2kWbqDn89KoO/tk+xs/vqa4i3ap6TSWnjFqVGXP7BGMKl2Q1ldv6Rq7Td/cxbOqCdm1oTgs8/O4pHvsrG/Rip95pqYjFGFa4KQDLqtzPFCRgShhagB5/QwIPXieMTwC4Mc8Qqbd2MnSl6Dixk4jPAwCsbubkNopibG3rtaQDgISgLdsrMMYqAySg+ZnjDQypaKzoANURkRX3UpHYKiN4iAFgi3FAnHr/c5rfRjofHrcsOloZPPcPlPQ46cnwRqNN8MWXR3Vegn0FXo8URn/H2M2yvIiRQ2sdzxMJDz2hchJUhOvLBxnYnefxf9PoP5Pu/KZ3kG7YEzS7rXg76fZWee5ZVdCbnJVVhskomIjPUD87xXFwt098nnRrcprv/edTvFG9tp7H7oBY9wA9T2XFJnU72GmqKEQBYKzE81xBOBjnkhPS0B4rAj/Ye7hh9Bsr+LpV9XqxWNbKBvTBMYFdFVn0AKAiPIV3DPK1a0UKcwAoisV2WCRs8QU1bGjgZ42XVOCfLq+So1xUYq/OYg8XsJKNjYwpbRHpsm/p14uV2nwohpHRovZIn9PGhvJDI9zOvomxRXCenxrnANHbPclR1MT8i7xIQ+w0zvSFrexV/p8p5ty+Mv9rpFPBtQBw7UnMklAVwYjty7VROLGF2/rRYZ7YW0V8AgDs2M/lX9QtcOsl/U1/CDZgNiU4W6fPq9QiAgdVgGc2zouNj0Nf9b9rxOblzoMaT7tSbFQPTAvGIQ8N9m37uf12iOxqg04Haa12nPVNeV/HK3pD/MgkG4UqXfzjMc1PvDLD3lcltxXYIO9IMcYVAE4zkR2vhY133xHhoOslXVeaMwYWRCAuAGys49Mo5T3eUdEe9fNizGSUTYkNWUHj9ndO3Uq6dy57H+lUUrC7pjUWv2Ac9BsThm7W9NyjMPqLctypfzLJKbAB4OwcnxDuiPF8GvM8f6nIIBsXHPA9FZ0cpV54BAYLPPe3CGYtAOgXDDVXNv8x6XYYj9PhMf1NlPd9o+CRViQAALA4LTj4PbEUSjY0sENkZ4wZTm4Z/Zgs/4KGt5NOMag9anrueH6Kx+Rd07zJVCd8VTHHAzqWpTOjN1+zyQlpaHdmq/hfJx2+k1YMCz7v55RIpLKojTvxw/sUxZB+VodgM0h7QPUPikApRTsn4oYA6OQ2tVAaAPjWQU17tsqxsZIUdVUe5a37dMa7R8RG5XxhaD8x7gkwFdCTFwsaxg0tOnjm0XH26ip6PB9lf/8UD7htZQ6eWisyWQH6WHDSuK6PTugMVRszPGH+Woq9Yv+9mz/+h07Tpwx9u9jY69nAi0VpTH+TaXFKNFHmBWi6oq3C89r4A3x3L3fqFs+8dkqc+6mkQfQE/pUERdvWCd7oPK+dv9PqNZp1Y/s27v9NWW7/vXntKVye47be3MLlbz+oN2QvWMRtfddBzoK3KLdClr9vmA2oW4rfId36xIWy/Ck5TRlaKwenNJ2WSkK0d4r7yZqc2FCWtPEfF56uijiN6itqQ3dTggM8K6JP3T2hvadL6vn4XLEx+DKojopNzWSFy/9MBLICwLl1ryOdSnZ1QATH+1Kgb3AcJLcbnBzGl3CmLFiU8mKYXpB7vSzfleIXqC9xOw9n9YayVQTEPSayCG5KeLJ9iimxJ8Zj/x7HyZ4A4HSwV1qx3qx0vJ5kGjkQFtAebRO0xOsatN0xLJaJVIzLjwvYDQC0CMagq+xM0t0gkk0BwC1j/0W68+t489wJfcqhKIgbjOfZEQGRGfI4Hi5q4D41LqiW55IoGDKSSCKJJJJIIokkkkiOg5yQHm04Dj5UvoKM57ggKwL6ci3sVVgypo/qHhlmT+GquvnDLLpFetmhIu+idunHozPL16o97MkpTZumjtqVTqXwXr5c43lXjrL+y4/ybn2tZ7f9H/sYJvCKRDfpfPzGAwXeU25sZg/C/9unvVqva+Mj9fQYP18F5AA6oK0isGbr6jV+bqAg0vOmuJ+8YSW//788pl3CL+Tqo72dPZr5Se1pe2KcjwpV0O/XdmqP8lVLua6XL+Jrfz6on79c5SYX8sCw9sAcFLRzZ7fy83MC+pJbq+u0dIK9KtOC79wXCD0iTglOFxh5BS8DgOEiexAv6ORrU55kXdk4f9OGYQ4w/Wnxu7J86xRjKhPGz99cr08DS6JhBqf5m5ySZC/9DQUOegSAg2Oc8EYFHmYSDHsCgKRYJrOCiq5JcCsDwL2TnIilFfz8lIDYAEBWPP/Hha+QbmkDp7sGgGqVv7Xqfz8u/ph058Uukfc84DgOKR/jU9/+qn6n9Wk++Rie5no2xPV83iigM9tKXKcVcfaoAsCOKgf4rgZfO1bWpyTq9GG4wuvhgYLmvL4rw/NsSVBOXpF9CekGPFBABWdqcxxf0iqScgHAbUXmPG9wDOU8Oa3tBiesDBVzdHZCUyZuKX+ddD1pno/uLW2T5afA8+SiKp963jH6UdJd7gn6HSrw3HO959R5NjkhDe1iNYadNUwHi7I8YLJxbQCogLIv3slHSNeu3yXLL55WxPE8iXxiq8ZpqmBGhXXb5zT346UptqAeHREbBYGJA4BHxnnCMvBRW7NgmBgf0kZdQjC0nNfOE/PPD2pM23tXMq6qPctGzee2a+hKt8i4t2OCZ4FXNrNBDQBlYZcoMv/tAqcHAOtzvIjXg+vaV9FJK9Ym2LBQ3OhdAo7zx5t0QFKvSCLUP8Dtn/bgkVVA4E8O8MSYFIYWABTE8fdUha+dEPEFANAojioV4860J3BPYbRVMKTkZvdErT6xlxemjjo+qjytWRv/D47yAr5WROgqgxrQG2oF+yp6siBmBGe3+n4nx5mdBNBGtWLyUcxKADApoEddWS6vMmCeE2OIBwA83spjJ1kVhnJcH0nvcoyJ7XTMppGNa0N9sMQ81g8aG//5snZS7IjzmFycZTaOeqefvyLF+jHR/S5Nc/vdVdbz0ZiAiVRKPPdUPYHQaxzPfSqBVEkkUAKAjOj/K0Qw6mhZj7N9YEN7OMZwsP2m586z47xOPOSY3WiDYAIBgLVxXqPvqDBrxz7BQ+2ELQHooN1ldbweJ2O6TS5IMWd1Xqxxat0DgLsHua12x9lGOiepDe3rlnLcwB2TXH65GHsAkBKwzUfijOdWWPiOjLaF6gQ7TNOk8FABIhLmSTkhDW2AGS3UDj7jmQRKgqLrmrUcaFEWiwIALGlmA7JvhA2Qly3V2NmHxtgLoOo/XNQffOc4v1eDoPNa70mN3ZTiib0oMInKAJkQDAkAkMuwoa+w7J1pbRTViW/VlGMPwuaW+QdvqICk7+3RHgw14adiXH5JUjNkTIg04osdBziOxPVwVUk7VJT+hGASafd4T5VR+7AIZlzdoDMrtogTjYzwiJ7dob2/j4nYse4s99P+vB4nY2KxnRJZABs9zAFtQt2X5/7bmGRdZUhvqLob+JhpUNAb7hNe7qBO/LHuHebx+Ihg0QGAHhE8PyJOwx4Z9vVzHpNTVV6YV2T0hniZSLe+Y5zv6cvAuqROZMAVjo++PPe9tpT+zium2au1TyTXaKhq3Pz2ys9J5xS1q2ecZdNsGKhsm1dkOWgSAO4psgdPUQnGxBwBAHVJ3kCMisBHtXFX6eMBoBhjA7AqcO8tYo4DgLzwXDTERbIn6PVEUcztnGJDrz2p+8SussgKW+W6ntqoNy/TIqBwRYw94ncPf0KWf34PTryVlgAAIABJREFUG5WXVzjodd8U17PiNEPGRIznpEnRzr5NuhqTSYHRVgGKABAXm+zeCQ7YTwrjHwCuzDFj1Oli7Ix4AjTToq5LSmx8Dxk7En889C15z9e3/zbpWj1jYjY5IQ3tTLyCdY2HGwdZkYVxzAMzSCZ5sX6kj4+60nG9s1vTxXyi1+/lAduR0TPz/YJKTkE3lopFDQCWN7B+6yi/f8bDOpJXGRMn+Z6nCAMi6+EmV2m89wnauf5p3SUzoq3VycMZ7drL/9cP8Pc7pUUwTHgWq7V1wqvmyZClpCPL900LzvBMSdMD1gnsiTIUd4qNToMI/AGADsGvrfq0h7QDu8bYqO7J8vdXHOYAsGeSF5GkoH1Tm0RAe3tUkJQvSE5xdjcoflsRTHfQA8c5MMGb5Bv6eUe7NKvnDqXdNsF9Z/eEfqecYE4YLKixI4vjhnEOSLqs/rdIN1nWfV95pAWLI/o9i3Whwt96SR3fU20IVH8ANPxg3B0g3YjHJ9WW5NPM3ZN3kk4FaALASVk2wJpiXKfOrN59ZKfZsGpKsPG8orpClldwnJ2CHs+JgZ7wBDPGBRhz18iNpGto0UbJUIXfqSPBuoLgUAeAlKAybElwm/r6eVV4hccE9CVu2tDuEwG6S0Reg4JitwEwKmAyQyJTcEnMCHkRMAwALVVe43aKDLKdAvIHAAcFlLEtI9o57ZmPBcxiusgnH4tyHgfhhHCSCOu/OTV/s3WizO8fE6GJr2x+iyz/wBTPE6fWadjbbdr3Ej7zOImZrTezX874N2Zmf2hmrWZ2o5k9Ef63JbzezOzDZrbVzB4ws80z7vXG8PonzEyz+kcSSSSRRBJJJJFEEskzSI6bR9s5twXA6QBgZnEAewF8E8C7AfzYOfe3Zvbu8O8/BXAFgLXhv3MB/DuAc82sFcBfADgLweHcPWZ2vXNOA9oA9OXj+NCDh++O37aWd0t7xDExACxr462Jyg5XFtQ5AFAUwQonNfJu7wf79HZbZQxUCSZGPFkUd0yyZ6c3zsePZ5d0JjXlATu/nZ8fF9CPoofMvU0E2ZX6+T17NUoBq8RpWWGavSpJT4DrVUtYrwJMT27R9RcQd3nUumNab2sbBU7yc/s/RLo/WclHigDw9zs+QDqVtOLqpdxQCooEACtz/FJnb2Kaoye2zp/Gsigo81bWae/lIwIXp44vBwV2EwDOaGGM+ZdGfkK6zXaeLL9FBDOvbeD2GyvyO8U9p1nLOpgKcM0E37NLQKkAHUy6a4q/35omfUqgTjkUdGRjs577hspMBTfguE/Xl3WfSk+pEwHxHE9myKTxN31IBLO2CkjAsCdwTcGuVkxz4NhtY5rft6V+E+mW1p3N9Rz6gix/euefk64kvMcKzgEAS2OCMlE0qg/PfKDA7bLHGHpyiuCgTwkoGgBMiviS9a2vIJ0v22Zdkk95imVeIw/EmXIPAE5O8dq1Z5IbpayCawC0O/aqPu4YIhQzzaM9Ik7JpkX7Twk4BwCsaeJ23SYobL81znzx7WmmnAOAOjD0KSlw298f2S7L1zv2dE9PsW4IDL0AgEnj+fSMljeTrjulT1jvK/aSrqHI/aQQ07j5RU6gDtz8srIqyCEAvKiN4UR1CV9Obr88VdCRFwLY5pzbaWbXALgk1H8GwC0IDO1rAHzWBedXPzezZjNbFF57o3NB5J+Z3QjgxQA4X2oojSngxUsOf7Xdee7YpzXrDrN3SGSBbOcBk/EYEJNiwKikHS9dqiexLzLBBnpFGmSb1vi3CzvFsdwILxaexJJYWsf1UqlcFRuDj/UjIbCnm7s5+GTIgzvfk+cJo0tAT7rqNRXLuFgwFI+5Mp4BfVSoZCjG3NqBsKH9t+vZqO7J6ee8Z9X/Id3HBr5BujenriHdj/v1hux8kZ0w3c7vv3xC72mzg2wU7csr6IfG1LUJdp26BD//tFad2VLlXVjpeAGehm5ThSlcW89G/c4pfqeLN+ixv/sebpOeHC8MvuxiKhbjEWFoLq7TU/eQSG6jAhx9S4XCs4+C576ejObLVjCFHUWG0tVDG+qZ+PxgItvLPHd0C85cQPeTPTF2PLQ2cDAYAIzlOd9AV4KT4Cxr0YFvIyX+fqOCYWJHSRulp4DhZE2O16i+mDZKV2MF6ZoFzGDKM06UPDLGTCrLGpnXf7yg69Sd4m+1zXpZN8wc7gBQaeJxrjL9CiQYAGBUEA5MV9gemPQEYmfjPP7GygKO4+EhV3EHKina+H5OuJKMa0O1kuB+tsyYIWRVeoUsr56/c1zcM6bH2X6RWGxllvupCmIHgKYC3zcnoIT3TDA7CQCM1nNynJiIo9pe5bmjPqYhThekOYvld/d6vIGzyFNlaP8mnjSMu5xzh9Ii9QM4ZC0uATBzm70n1Pn0h4mZvRXAWwGgPdWI1hr2gL3CUIuJzg4Ae4QHCSI/xYqENkBUFsnlIi37HsH6AADTghHgggYRUOOZRNQaPC0onh4c0u+/sYXbSnnalOQFPRkA7NvNO9N6EczoS++qnj9Z5nr60trfcYD1lwkqubX1erHZOSFSuYrJOgeNf1MGlEpL3y1YQwBg/zRPGGMis+S+Al/3plXznxjyffMn48+LhE/tghpTGaoA8PMh9v4qOicV+AQAY2KnWDFl1OvnDwoDMiMYHnZOioXNY5OoWAQ1z3R4sqrePcgbslNahZfYYyk/OMTtf0or990nRvUL7AZvFJeATzR8z88Jy2a8xPNk3rRHu7nC2GOVWvnULDsZflHQSSdOEiwF3QLP3D/9gCzfmmNP74EKM5F0xHVyk4fBmXbPTDBrRb/TBsyI8P4vSnA/vWOCE5YAwOmNXK9B4fxXxr9qewA4tfFVpOt3zPDw/HqN9NwLxr7mxXh0YpMFAJNin6sCzjtFcDUA7DT+JqclLuPny9J6Q1hf4Xmi1enETDfv5zm5Kp6Wy7BHfUnidHnPB4c/R7rlTbwhXOGJ2VGnYT8cY+93c0lvstMicFVN3SpmAwD6Yr2kOz3Ghm5nHZ9GAUAGbE+1VXjuWpxip+NPijrZ1FiJN9+bGrXddtPTgdE+JGaWAvBSAF+r/S30Xi/cDy/EOfdx59xZzrmzGkVQRSSRRBJJJJFEEkkkkTyV8lR4tK8AcK9zv8I+7DezRc65vhAacsiFshfATMLTpaFuL56EmhzS3zLbA+Pm0FTDMvLgKO+2pOca2nv6hMf7PN/yI4Jb+4FRfSS+uY3L94v0uO0qCwqAPgFhWpRj7+NPJ3pl+Y7CCtKtref9kIKJ3C1gNwCQE8fXG5vYy98r2E0AICVgHooHfSSvd+sK9/7YOLfJIuFlBnTK5BtH/pF017a+W5ZXnvoJwSO9R0AvAGBplt/1bYv+gHS7BXLmlasFjx6AyQJ/v/59/P22jepvWicgIXlBGThU1Pv5snALq5S/6uQAAHbE2KvYBPa29BlHvgPAqUmmfipU+J1esYyhD+O9nn4qaCjVycujY3o+UdziKi/PhIfFUrE0TJb5BgUPF66Snegj3WBBn9yc1sDY3Qlw+12ZYyozQPOgq7FTr+Y+T04wldjoiRHhvRVMFgDQIDiPy45PnpY4zcN90zjDH85uYY927yjHFwCAa+R0990COnJ+hr3MgP7WLcbOqMeMk6uUoMfeKY5TiCvn97BpFqhB10u6/tE75LVKFG3d3jK7FIuTup8O5nnuWJxlfmcPxBvL67mv5EcElZ6AfALA+Y0M6eif4kHdE2c4RF1VOxLPa76OdHHH89RdE3o+PAfcz88RePBxcXIA6NTsd4lT19XT2st/UZo99dtEWvXnJ/XcodboR0s8d+VFfMnJ0Pe86wD3/x+Oc8KbueSpMLRfjcPx1NcDeCOAvw3/++0Z+neY2ZcRBEOOhsb4DwH89SF2EgCXAXjPbA8sVY2womvrhVHmybD0gmX8cbaLI916QY8GALf282LfIrIx3dSnV4aXL2MDqF4cyX5pQCfMOTPDCRoW57j8aUkd6LFMjGMVvPW9vbyo9giDEAA2t4vsdgKn2pDUBxwHRFM1CIz4Yx6jUL3TfrGGVMTE5KvXxU3vJN14RfeJLpFJ7Nb93CeWeygbT2vma89qExRVJQEzEMYbAHS08vHl8AhPQmf26Im59wAfdU9O8UbHFwswEeONlhMBPU2e7HCrK7wIbBfY23xVQ7w2NjNvqwooU9SgN2zhMQYAFy/nuaMrx0f/AwUdzKiw27sFyiIjNo4A0CKyhX5phCEFu4c5CyAAXNL0h6RTiTjOT2g88sE8t9U7u59PukZPQJHCU/dO8rsq47vbaZylaqp1CV7sMynOagkAjxXZAO5MncQXes5mL2t4O+lMxIK8ooUNJUBTu35vkjNDXph+uSyv4ntOy/CmYCrPEJMpT8KWjMhBkCmz42gwxvh2ADhVGDb9YEO7u0kbQFuFAZYVELHt0M+fLvHmry/HxvepMR0IrvrfjXkOXDwv9TJZfvcEr13tgkpv9dRK0t3rmJsaABbFGCbSAF74zqzTsV19U1ynVY1i3Zq+Xz/frSCdolG8t3qfLH9BlWMRWuO8HvWITQ4APDDCE2U7mHLxLjGfXZS8RN7z1jJf+6pWdnABwJcO/JXUA8fZ0DazOgAvAvC2Geq/BfBVM3sLgJ0ADm3DvwfgSgBbAUwBeDMAOOeGzOwDAH4RXvdXhwIjfVJ2hqEag2O9CHJS6Y4BICbYFJRR1ygwxgBwZitPAvcMMUb5tFa92E6URbrzNNepB3rAZEVA2WMjXH8fR+lB4X1/fJwNqCsW82doqdfYSyUJsdHpTus67RJcwg0Cz9wwqQ39G/v42ozwYF26SHuUR4S7pivJk9hXD/6NLL+mQWS9Kv+CdD8c0AvD2+2VpDurlY36nw1wPc9t0x6QFhEMqRIL+eRAgduqIOIL+vVajfPrVpCuKCytuAe43yy4iOvLvCHu9mQSU9kJS6L+B0XQ7VLP2D8wym3dXMfXKiw7ADwhYgEeEt7Xs9v0aZzit17k2IBa1KzxxDnBj9wW5w1Jpwhk9YkydA+IoE0AWCz4xbuzfK06tVNMGgBwJthTqXD/2aIe+y1JNnZGKxzkN2Q6A1hStGlXnJ0xviQ+qvufU+Kg56SH8/qxKea3Piv7JtItSnGf+sbI5+U9s7nXkE7xE+8b5zkOAE5vYI/4Sc3skfdlAVRJpL458nHSnVLH7QQAzvH42zN8E+k6Ws6X5T/cx1wMb2hjzmyVZRkAGlP8rdQmMy2C+TZUzpX3HHf8rIrAuA+IzTAALK7jfrpDBEOel9RsZSrfwn7B2LRl6vuy/Fg9e7QVOYE69QKAUbDjaCjGTqJSiScPFVwNAGvEyY0vf4kIO/iVHFdD2zk3CRzOA+ScG0TAQlJ7rQPwe577/BcAzqTgEYNDsiYASbFOnOlJbnLvPjZgJ0Qihsa0DlyrF0Z5h1hYHxZwFkDTzo2L5/tSWx8QA6krx59a0SEBQFasjL0CknCx2JCorJoAcMMePpY6v5Pbv+QJZhRzAIrim57SrXv7hUPsgTyrhb/fTR7SEEV5qBgWFjXriXnnBA/ueuMTgXMyOmHNbkHmv1nETg1P87e/b1gfn0oay3Y2Cgf2aZhDvYBJKNaRH03ykTQArK6yAdOd5fJZT9Sv8vR1i9TOA6Y92sUqG+VbBJyoIOAwl6/TRt29O7mfHyywoe5jHVGG/hmCdWXMw4bQIbxie8TYbYc++SmIdPXqO22b1Ow+Z7ZyX7lJbHKX5PTcNyxgRosEwm6PGA85QU8GAOJEHk9MMpzq3pI2ADrSbKgPjN1NukqD3jyZMIAbCheQbkrAUQBgqcjUmzH+zluMT3MA4EU5NgAV9EKNp5PqXyLvOSICFyeNg5vLZdb5pLPKY2dRTkMBd+d5PlWJlYar2vHTlOPTsOUphmk4zzHFm9t/k3Rbx3ju3Nig++SeSXZo3DzNTC6XZn6ddBVPJHa9yBipmGhWZdbJ8ivENP+zCT6hay7rDeVgjE8JzsisIN1L4pxtEdCUn8qZ9bUx3hABQMK4r4wU+NS/KcWnOYoGEQDOa+U1IuHLgjSLHPdgyEgiiSSSSCKJJJJIInkuygmZgn2wVMZn9h6OS/uLdez+e2xE78xaRXKaOoGRfnxYp2dtEh7tRYLOqy2tvTpqDz1VFvzGDXoXpqi3hEMbU1V9hDQh+DB/McKeiZf38HVbRrSnbHMLe5AmBT3cpHhPAOif4pdSQacZD0a8Q/B4N4h08Y0iEQYA7BfPr0+yp2pNQQQJAdge7yVdd4UDYpY16iHZKqqVjvG7ntvB3+RhD+3QZQIn3JTkftrSqr1CKvB0n4BZXJJl7CAAtKT5+40J5ErRwyVXFBArBQeadhrmoVKwv7CLK7ChZRbephpJiKDd6/dym7SKdwd0LMD9Q+zBahZHzwBwQKRBfmSaoQM+PO/WGNOebXIcuDdmmjJyRKQLVxRx7Rnt49k+xvUfFom51PHt2rgORlRHzduMqfx8iUDGKpyava2B2yRf0iekmSSvEwMxweXr8cgXRDKNmPCqdVZ0kFlGYFIUdEHh6wsiCQkAbARDj27M38rPqePTAACYqvLcmxVeek8oAk5tZpjL/cNcV5WcBACWx9h7vcLYo+7Lq1AWc1JOcGuPe3AOipzg9OqLSXdnleMrnGmPdkZAl5zwfq9q0O+k4osvbeI4rq1qkgaQqXL/U9zcbZ6x/4tRHpPrUnzyc767SJZXcpd4fla005CgNQWAqTKfkD46puFAs8kJaWi3pxL4nZ7D4R/bRUDNGc16sVBk8o0ZXqx9WRAVQ8kSYWgrjCgADE4ro5CvS3qwqwrrpY4Ffdjdsrj2VUu5c7bnOMhm0oN7b69jq2bPGC8sdx3URlVnlgeM4iFvadCA4B/18SLSkWbrdYuHX1hxtPY73nysTPHABICGEhulk+CjYh+Zf2tKZD2bJzFms+eeowWuU2ofv2c6rTcvfXkR/FTg8oqXHQDyoqP+dJJ5W30GSNxxX1smjtlzJQ19UdP9oIgbSIlso9v6OMgGANYJONrmKV6AfjGkFxsFkxgu8sLWnNKMRc0prv85ZcapPmaPyPLjJTYq69IMZzq5USeWUmQmecF6MuLJgjgkMu71JDV8oFZUUq1Az7oex1y8e2yLLN8Z56P27VMcJLU+pwNE26rcV2ICIrQkq7/powU2yveB69oDzS+sjMWlAuK/UwToxYXxCwDtgp86XeKxZx5447Dx5rUsOPCzHoaKSQGlHIwxRKzRdBzTA0OfJd14C8Nk0qM6idFomdtqzIkEYGXtTFuR5TlJBf49OM1QyIlphnMAGqaztvVa0ilmI0CvfWpD/IDTiZVOAvNTbxnj9XhFnR7Pm42x5wMFbmcft3tLmvtkQsQRNVTZ6boqobnB7x1jOIziYJ9LTkhDe8/0MP5o2+FR2f+6lgMtfMlRFB3W1gkeBKd5PF0KZ6kwmWoBADQed1FOZDb0GOrbxrhzKoorFXgGANNiscwIej+VsKTZw8SiAu8SCX7QFYv1ILztIA/4DR1s1MTFPQFgifAgFEUw6DJPoEOpyvrOIkekjxX1R1Xejk7hPd/rwc2XRCKUyQpP4qvr+durDJi+e96+lxem5y/RFFX3DnP91zZx398p+jMApMQAPFNkLbuhcIssX6yyB6upxMZOo8AuAsDgtKoX12lazAdZT7bLAZGs6rFxEV/hAe2pL3VX5Uekq05cKstvalKbHx4nO4a/J8ur7Ihqk64yeAJA35SgkhNepT4FnAbQKTa/jcLVtnWU+7nKIAkAGRFQ1hnnzdtWQQ8HAF0xDgbNJNjxsFzQowFAa5bnHvX9x3zezxh7xO8evo10Q2mdWrtfJP1YKxgeTPT9tcYUmIDe1LQn2ctd8pwmdYrkPE8YZ0H87pjGzTdl2dO6zs4j3d24R5bPpPn0o6vK9+yramfcRe1c/x8Ocv8Z9dAbbkry6UmzOOH+9hDHt5zUomkct4wyjWRSpCD32T0HCrx2q9OkuGDQArQB3JPj5989qTcKivLwm+Ps0d/gdMIeE6bH9uHvkq5X1L+tSTOJ9CR5nLdVuJ8BwD5o7DhwghraPekWvG/N4Z2xUVB07ZjQHoTT23hnmBOBXyrICQBSIkhwSHjK9kxqA2hDMy8Mvzg4/4CiLeKoc5XxJPKLEX0E8mudvAjtFPzWFceemotEWnUAGBnkjYqKUk4Lvm0AOKPl/7P35lFyXud55/PVXtVVXdULlsba2AgCIkGC4iJKskRZojZrsWxJcTyJZMdLPElsT5LJyMk4kzlJJnEymZl4jsd2EsdOLCu2vEi2bFnWTkmkRIk7AS4giB2NRq/V1dW1L9/8ITJj4PldCrTCOTlIvefw8PCyv6qvvuXe977vs/g1jQLOnhQEP0hDAro9z595qeUTDqkhfKX9FB5/V8qrTedbnii+cTNXX/+fxc/a2N7oqI390DZP/m8uM/SjCyS/u4BMWgPJPkmqwcS2GzZk5BYoSV9d9PPaCVW9kDvcSv1xG3t2wlUKZmOGBNB5bQXVlWOrnui8epNXOiTpi5dcYo4qiqQLL3G1aU/yDhu7qcJzD6kETEAFJwpUKsdSfv7zQ58Pi+vcuVnu+Dy1u+jnugp21ZJUhsSA3l0iTnXFyXtm6L91E5ia7UswEXkhckLVXWmvfoak5HJ9n3vpmQhJe3616sna947/tI093Oek9I1Zh7MRET4VqD5TfKX7LRsryp+J2ZhhY9RRObPqm7/3T7GSbx7e3ce7fp8I9iRJFwu+KRqAtCfde0lqD0DuFzb0x5psIf++Se+SUCf73srftbEzkcsQStJ4ftbGtgKcYwq6oxIXg5b6vkbdmGA4EBFPZ2LPUW7K8Ya0A5u32yOf++6HwoMkZcEZ8ujEj9pYHTY/Z3UWP/Pw0DeP3+h/Dv/2pWJEhhzFKEYxilGMYhSjGMUoXoG4LivawzhS46pq3TS0SwoBmAFhMmugBzkZkPcrQ1+wBrJ3985wS/2PL1L11HeGFxr8/QmoTDRAeWp3nlvqMbSAjlRYuurqIHOPUNSATEf4eEnanvdK4+OXvXq7r8wuiJPQvn5m3X9nqKVPUQOcaTvm76c4UPTrf7DE1+8f5xwS8XjVz/9L836dtkPrWpL2lrxaEUGl9eIGPydHJ/z5JR3oX192PKskva/kjncNAJ6vtc/h8dRCrQ5ddu9LNW8fStJAbjhUSvn5IxQM4CQSE5EJDrTa4ffpTiCz3l3yClAp4ApLJK1y0qvErx93ExVJerj5SRsrFrxS+dGFX8XjycTpY6t/ZGMfKP8lPJ5cDB/sOUlqVt6lKAZa2qWkjz81dCm8sy1vU0vSloJjT0mf+Pjax/D4aOKv2thueaUxFle096S9c0h66cU045EJYkjOmg90/JqcWP19/Ey6z33BehqAKdwauRZzNOGT70QAH1kDiF429vVkR0Ae8GzL187L4CB7d8orqhJ3jnZkfZ58Z/JH8Pj7l71L9JXa/21jt1d+wsZyMXc9t2W8ep8GAzbi+0hM7u8OvRuVC8itDmP/2yea3iHdngBdWkkr8E6RU/AdiTfh8XWAKTXlVfYdIFf6YNvNhiTpDVPekfnb0+/Gv/35ukt+vhjXZaLdHkjPXZXvHCz6TdySZ+LcRMVvzs2gg90EC2tJqgN2+dZpT8A+f4ldpyZAYaIG9nppeAglaQ8QQCiB+U/Lv4LH/0zO5cz3lRyrtt713z+ApESScnD9LjYdTrLUufZH8s2AHb4PNNAlNsJ4pnbtepiboVO/0PJrOldj167upLPcy6CQQUmdJG2G67fQ9L+dLfk9ySYYN0/3qt3xZ3cVNpkSq74UAPrzwbIn1BIT4gjjvqkALnySJocOc4jgnSDHOUl67ZS3f1eAeJgDKNjj4BQrSTn4/WSOUg34Aj2/7seTQskiPHuSdAHY8zNDJ/rsyDDB9JtNPzHSpya7Z0maTPg7/Y70+20sRPpNgrPpTGfWxrZl/Xvqfd6kTgFJqt3y+Yz0piXp6ehZG7u//Ts2dnf5b+Dxq5Hfk1NgQZ5Zdyy4xLq9Z+TwwN2xY7Eltqa+sOHXamYAsKvK/4ifSZrfWTDm6YAuuySVE/63N/b9PV8BXwCJoUcV+XMaAheebzv05baMJ1A7xgK+EDXf0G8d+HwUdLUtOHG0EXlS/fDav7OxkFdDPvIE9pj8d05m2PCmkPJNSRY2qaRsJLHm+NunfT0+WePjL4Bb5yGAspVgQyBJ9ZY/E+RMeUJuonSgYNYukqSDwDn6IrllfYe4LhPtbNLF1zeB6gc5C0pSaZsnNUWQI/rk1xhrdBiqqlTpvaHIOMVpsFH+2pI/XPVeSCLM/3Y6d+2Wv1OQ6E/ApmTXFmd5Nxosj5fNwcQOn/mRk4yJO9d+0Ma+OukTIxkDSdLZhk8iQ5gYNgJ+4eMZTwDIsOZVZSaqUDxUJ0khtpE+OuH3bwru6R2TnqiOg4yhJA2h3BRS0qEgjDtdvVXAHkrSGFTVfmP+F2ysPMY4z4WsV3ZKwBuYKjF5hjafpxv+7pFbKf12Sbrc8utHSeXhgIzkL112x7kdWcfiP1PlCgypDNSHfp3igOHNvuI9NjYfO0ktRIi6KeeW2Y+03DQj1WI1icWOz4m3jXsCQYo1j/TO4GdujRwPuwuwlxvi3U8+4UnRkTzMPRFvXrJAWt4A2byQmsJyz6/JkhynmwILbkm6AB2pV0/7OdWXPB0Yg0RLkpLAJTgWPWpje4feDZDCTnxXx5kuO0vemXQyMJFh55q8xs7kvfqbG/o1CXU4DyScTNkd+vfXB4H1qHVtv59ifs2JsBLPc29Iu2TgWIrznr3w+M63/D4v8SXVzRNejRoHudK9AQnb1RUnHnagw7UIzo6S1AE25LI8nyDOTytx7Z3o79nC/JjPvIQ30wijPYpRjGIUoxjFKEYxilG8AnFdVrTHUgO9dupKRQ2COWweZ+me5qJXpTJjXtV6750sp3Rz8z5UAAAgAElEQVTxNLeVr46FAPSEgjS375zmasPvLYDBQtalc6YDQt7zIFKxCkYkm3b49eu0+ZHKV7yiPZz33fLP7PBKkyR9dcHbqhP5gF86RK5GsmH+d4Rll9gwhxQWDqfd6l1iKbvH1n7Pxjait+Lx6919NhaTbMvLCDr8S5e9IvzGzWxh/jzomD+/7nv3TaDOEooPTP+cjX2u9Yf8/YD9fUv579hYIvlqPJ4U6gIKaxb7AUolSemEVw8XgM3fCGjZkuXyhaG3VHdOcKtz88ArbQQTOQVtWkk62wQ5LdCHzgF2U5IacAFPtr9iY+Xhe/D4E5FXMGcHjsn8U9CxvkUOz5KkRTBiWUr43HGp+wQeT9bcEwBTOC5WHMol/D1JAB6blDQkaQB47NsiN/JYjVlFqgzQGYJ9XYwcipcfgOC2pCn4/Rs9xzgryRVt0gGnmEizvOCWjHco/8Plf2pjNB9IUrXnvI9NUKV+rsZr7FgKVLigSzSW4jX+BlDemGv64jMHMJG1FnNW6FptG/PzH8bcufnjSy5PeGPRuzkLfZ77cg3/23XgplGVW5IKCKWErnPARGlnwrkkvdgVf/pg9Pbs+qfxM9cmAPce6Ga+VFyXiXYkKXEVqY5ISvkCZ1XVVZ9cNuf84UpP8AXfeYP3EI4dY+wwRQews4fGgSQWgI4cyvhLTM6ON46xM+b+cf/cOrhFttdBDqjGRI3yZu83Eek0ZMLyru0gz5f24xtwTpI0BsP0TPzyurfuJSkGUMTdGXfXCzmZUVLe67vMUBnMLSTpAUgCPjTtsl2fueSTyI/t45MaB83zN894ArZ9K/fEGud8Ep/Igkbpte8nlS378ScDuqXzKd/QUqv7dMw64MW0L6ykGX01sVqS2gN+zrYXvK1ZTvs5LQMWXpJugYu1re3v85PrTPLKRX58Bh7KQY9xkq/Kv8PGzg0es7GtScbNz0NBIwNSevWIk8KxhOPJv9RyGcdK5IWD4/LzlKQeSAF2Bt4qJjKZJC3FDkmpRl7MGMa8nvQifyZuih0OFApKLLZnfJ6d7zEkYAzwDyTvNwkykJeT/jslaXPsa8f2tEMXTsVOZJWkMrgwTg99jazGrENNsLP3Tn7ExmYCEriFxttsrAPyfoTvl1iL+pGuJ8DPrngxQJJ+Zqdj31GvHt6HAcAwJakLhjkNSP6fD8gaHxjzH3Vfy/kJiQA37GTHN8lvlUN82gH356mcX+vjTYfYNANzRw+02dfkc38m8vxuf4l9Cdbh+oUM4F4qrstEu9FP6lurV+6u0qBmsW+DcZKVyrWB3Xtc6NMQEuATYGQRUj25BMoNABHWSSBOSVIeSnWPrPsLP5Nm8s/Jdd+F/qX9nmyROcxqh68pyfauwd8+yoU2/eBO0DGHa9oFYxlJSiAtxq/Th6b4mtCduh9cDL9adb1rSXp1wbHbeybeaWPLEYv50yKegmf6tin//bsDSiyn13yxpC7Lrp38oE+AW2qjD3jgwOZpvun3dBaMlW7Ps7X2mYZPrPWBbx72Raz7Shjt5bbf6RyoIRTTXBVKJ/3403Wf2E83eOqlijo1nloRAyXT4Jb5VNurt4vRWTx+duh675uS3mUaC5gAPdLzytBG0/HEd1U80ZGkx9Z+y8a2jTvuuxR59erimlfOJSkGQt5E0SutvYgT1RZU/yfSrlyQhMq1xEpEpRSYfdEkL2lLxzffS10/18fWfgOPHx+6QggFcVb2gUKDJN3XcTWSG7PeZUlDUiNJW4a+UaINxakm39OZ2BN1snAPYWNb8EzU5d+fT3FSutDyuetCx81xXlf6cTz++Jp/17mkb+gGMO+Xk37tJGmp40nxN8BufLbFDqJ5IHLvHc7aGD27kvQ0kGEpF3kYOBsS61vfnXWCb6PPiAEiDV9ad97A4TEvJlBCLklfq7s2/hFAB3ynuC4TbckX9zdvd5mZFXB7lNjFMA0V5eXT/BKSkcq+oifvIcOcY6v+EpPMEREcJenhFX+J7y38ZRsbz3BSSk5sfbC8XVz0VlEtYMFOUQF5xINlXsDb4GL4vx3z9uX/fDPvdr982c+rkCS3Tt787Cr68UegVbd97EfweLLnnYydENYRJ1CN2Bd7Ij+/cbMvIOTAKUm37PAEjJLifvfaqRyzcPuerLKM5W3Tfv0/Pu8bjSN57gZR9ZqMTMoA55D4t75nh58rKHlp1zbefOQ3+bV+9D7fEBwe50T9986BHBdk2j+8jYnYfzrn7/7bp/w5O1blzsk4VJV2gurIMz3eEFay3qpNJ736TtVDScqmXYmpOfBnv5LyzVc+sAA2206Ims44QXIrqG5I0vzAu0nZtK8dtSFAJyT1QaFjAxK9VIfn88mMb34f6jv0ImRC9FjfN/9/BaQxn6o7dOB45N0ESfr+kq8nC12fuxbE8MoOEE9JYYPcKiWpm/OX8vGhJ+VvajvsSZI2Yp88awlP9FbbbMz08aV/ZmP5rD8/O4tMkJ2C9Xys4c/kHFT0G2IH00bHk8XD2ffa2I0l7rx8fMUnRKzyJ7iYNhz43z7X8E1mL6CClY89n3im42vUJnEnfg3W2HLe1+ghlM16cKwk3QsGaI1rVzD+zzEiQ45iFKMYxShGMYpRjGIUr0BclxXtfHKgWytXVnb6UBHdUubq5xCISjFZeANGWJJiIJpsK/l3dQD7KUk3VsCuHHb2E5mAXXjCcXVvKLANNQW1r8/Wrg1mMN/mKvnyBYB5gJTcegB3TvFPb/OqYrnEsJ+bJryC98SqV5puCwCKQXZWW/N+/o0+//4ckIce6LtkYSXFZMqcoHvQ8RvVh3v3hfNc/XxV2XkHN8565yfkzEwY+805P4GQ6QS1Kn9gi5/rRxeZOHUo4QTZLSlv30/neZojvfrVrp/rPTN+TbKVAGsSrtXrt3lV5kKNK10zBT//HVCQn0zz978b/pgIRZVM6Jr4DwBpc+0ZcJehCNCh47FXei8kz+Lxs4XX2hhJGU5O+r0vZlkykCra1JJfTnD7+GDWyZiPVn/dxkhHWGLJxfnYsaefWfooHv+O8t+2sVMbbkM9lvNugiTlgMtACmVfbPq6cWfEtvRFgLlcIBOmEGcl6R2RTeP+XUvrYROQq+Nw5M/ONwauIy1J9b7/Vjb84XWTYH8kGRmKR9d97dqb8zX2IszxFdDFl6RM2teIaehQ5ZJc0W4O/UVfSvhzejaAmT0sh6R0Iv/MveLO0Tn5PEGk2ed6/J7WG8/Z2GvL7gnyQPWXbIyMgSQWMagGut4vFddlop2IpOxVScBa21fVkLvb7Ji3a6jT+cw8G86kweBiR8VbKIVUSPjdb+4TK95uec1mxkodjGZtrAu6s6ebzB6eSzqp41DdMY1nGn6e92xinGOx6OOVKU+K3x2Ymb++7JPIq9hgCmM7GNZkQEuWSC6StBm4Z2td/2Nio0tsWrK74YSoldgxYZJU7/vkcgbwc6mEJ3A3FLgttgbEtd9+zBOYD73OMbaStGWnP9NH4D0j1QVJWodNCWnDv3eCMdbUVr7Y8BeViLCSdBwgLd9zwNvfBXAlDcWxh10Hfabim+xVuPaStBsuVQ5Y7vcv8YN6tX+AJD256vPMhR63nzMtv1ikT7seMUG2nvBNSa/r7/nNIdz80M/1IhQJ2kM//xB2lbSJ5hqewO0buwePn5friOeyDl1JgGqCJGVjL5yc6rq6SxoSYkl6cPBnNtbv+/XvBqAjt2Q8KSzAn96SALfNgDlIG/gNEewyU2KYwQFISo8lwX8C4BgSk34/u/avbOyvzfw8Hl+N/Dn7YsddUXMFfs/mqp7AHxrzNbIKBliSdFfFF68l4oeA2yIZA0lSEiAdx4BM+KY+L5ybYPP9xdU/9u9P83O6K+P3dC8UDkiEQJIebjtGfV/sBOWnEvfh8bTRJW36myach1UcMrxwA57zuSbnOC8V12WivdZN6lNzV+4O37YVVENAYF7iivZzT/kucrbCi9XX532x7UFFPaQ88NiK38jv2XLt0g20i21AqZMSaknaPnBc0xLgB0kerxQwRyHZvxSoXqxAoiZJh0ugWgIblfvPcVWrDN2HFihHXO0o+mJQBYhcANOBTH0NjHDuKHpi0B/y+Z9teLK8CSSutuf973Ip7rw8A2TS14OU3/IcT0KTm/276DkvBTo/55t+/c9B6+CGMk9TJBP1OHQpxjPMhVgBTGk548/kRtOfyeEFvs/7djieeGHJNz+Pr/Fz3oYNcRvmo3JgOiDJwjJwMbJJXmyzoFByrumJcnrIc1ci4d91ofVF/7tAAnM58kS9A5uCTNYT9QJgPEMxlvUiycn65/BvCft8qOiEKlInkaSBfE58VcqJg4PAe/KttX+D41dHKsmco6f6fv3f1P2AjRE/hbohkvRs7NjrTsLng40BS7BmU27BXor9niwHZABnx3zuOxz9EP4tBSl8TGVcQnU14Ez5+sJftbEmdEkmgJ8gSZ9Y90S9PfTFZ1PCk9cuqNhIUha4FJuBDHksIFn4bNe7DDMll0Zd67Cp3JNDf86aLe8y0DlJ0p7YnwkifecCc1ci4fP8RsLzPtoQfrPt5F5Jytf8mZrK8Nz9UnFdJtpjqaHumLxywaUq89USgC/G+QW/keSCuFHnl+jguFewgBCrJ2s8MW7O+XmtQKJLk4UkVTtA6AKHqqMpdhJrQvl+U9a/qwkJwEGQh5OkfMUTmD95xBntD6/yI3kEWvVbWn7995ZYY/Pz874Lp/O/2ODdarPvk9PL0YfuwaaOtHRDn3jbpCe7kJPhc14GdRBJOtPwa3I3NGlyAbfN1rpfkxpUate6fE9rUL3+T4tOMsKSpKS/v/d/sbHPQFXrhzP/AI+/Y8qrLU9Alft1Wz35y2Q4KXrgpFfgvudGt2uuzHE37DNLvoiWgPTZCDjO3bWJYGf+oBDJSJJuLVybDOkEWK1LUg+SjW2VN9jYySHLxp1qf83Guj0g7QKhqRnxLjmZ9HdnPOWb3NX+scDxnsAP5AlYs+fPiSTNpL1S3AWFk3Ug40lSjjwQ8k6caw24y7BSd0Lj5Ra44wFBsz3kimwbEpjW0NfIYpKdbpvQuegl/JqUcwylIzWLO7KeKD/T5GsagzX3+sCfyU3jLqEqSWkgiD/ZB7fOAMH2h6Zcm/2ZNb/W9/ecyDoY8hq11njGxtbLrrdeDXTTtkUOr2zLN0+zaVYtebznnZdv1X2TGAWwiK8d/xs2loI18o6EqxBJUqPk0KNL8nvaks8T+wsOD5OkLdlr02v/TjEiQ45iFKMYxShGMYpRjGIUr0BclxXt+c5Av/D8lbv7n9jl0I+9Y1zp2zvhrUoiOGYy3FbakvLdfr3l7Ya9Y7wz/eV5b8u9OeEGEfWAjd2Dg2/YGAnfHxx4BUCS9hT9XMcAfkCa1SHN5GbVd9E7Cn79V7oMU1jtXduecBGq3BLDDL655NW3W6e4LXT/kncp5toAk4Dqo8TX5WLDKxifqv4LPP7n9v5DG/tq1Sto79vh7bPjKyzldu8Wr1ZkAY6TAIhMKJ5v+PVb7lz7fv6D03/fxiYBCiUxHjuT9uf8TIcrfaW0X5fTAH04CK6ooTg06VW9XodxrhSLkXeE7qt/xsY2FbgbpSWv6vShon0+YCTSa/nnzg290jubYLdN+tzewOfDWpqv6eacV8s2Wj4fXmq4Pm4+HSJt+PVfbHn1LxQzJa9qPrfxeRsbDLmblgOYyLPD+21sLOIuR7vjVbmJgn/mWp9b+oRzXoOuZxscA58a3oefeUT+/acT7ozZF69xpxOnbOxSyw2HhlD5lqQNMBIhHtIAyHiS1Ip87qNKK1XOJenJDZ9ThqChH1ErW1IbTouq/IS7pg6FJI2POZzqwbYTiV898WN4/NLQ17ibMw4jXQ4YI11rxDHnLQtJ7/zdGPtvKqUCJkLQD07Hfv3yIKtbDsDOLrYAsgmkXUlaWndxgxfjuky0Z7IpfWT/lZPusZpPtumIkzJKtGs1XxjWA+Ys46AP/RyYg1xqcVJ2Z9ofrnXA+IY0n9+UddvWR7o+sT0ducC9JM0Mb/bjV/36vWbKJ4YHzzPGOAkwnXXQ3F6A5FViPHQSSGJNUDKRpK8v+t9uBjWKSkDJpQm4uBVQKagBm12SZhKewJCe591lb59JrI2+JenP1MOrvqG5Zwu3Tx9acegI6aAfATiKJK1CAlqA+xRSx5kDjiYl1TVICiR+/neV/NnfBNhFiTeqO8Ed7fm6b/6uNsR6MWjzPNlwmMW2PCcQbxr3pOiuMWfEzzcDhjmQLDQH/l3FBCd1T1T/o42RasbloRMEJWmx9k0cvzrWYVENBZFex3N+ndp95swMwAWyNfTkP2Rr3x745xKcZbLk86Yk5eXv5I0Jb+kT7EaSVvKzNpaAZvSuHFvQkxEPKQF9a+jrwWqN4TQXQfVlOPTzv7h2Hx5/rUGwHUlaavt3HYs90X9twO3zvu4DNrY96fdvBQiKktRO+HpAWPyded5Qnqn7+/ssaJb3wO784OT78TM7sSfK/bTf+0WADUnSuei4je2SP6dk7CNJhzLfa2PPAb+BIC6StNxx1ZBzGb//1Q5jvAdAcD0NpOPb0s6v2J5jKBxFruu/U5L+RP+NJdqxpMFVFeilti/237+DK11fveS4soPj/nB1A/J8RAijRDMNiaLEEltVkPkJGc7krtFyeTpAvGsC0/YoFEXroBpBShKSVCIXScC5na5zAnKo4p/7/LpjbAsgOSdJxYxvasCXB01gJKkFifbltk9MvQFPQhvg+EiyYyGZoQWwna0MPFHOQUW9nL/2CsSNsMkcwPMsSQtt36gW4T7TmCR9E5QzSJ3lYpdlOAknXO07wXdmnBMgIh7uL/rzdxgUg5KBzcepmi8M1PkhGUaJJQc78ExS9UuS9o75wt6DhbUMxLNQUFWoHJA921bxIsHxtlfk6dl/OVFKugzkAIxhQnGo4oYtyYCaw0Lkyc5MxTd0EVTOJekS2LXPxo49rkPXVJIarbM2Vsy8y8a+vv4xPJ66PNun/J24qekW6tlJVgwifsmmyDk3qzk2rNmdf42NNeTdoGrnLB5PZmO3DNxFkNwuJSkT+e8qDn1DvtLhDe0U2H2TEcsybAgk6bZpf6c+f8E3r4WM37sDsW9yJGkx9rmb5PHu63JCeHndLdRbZcdDU4FJknYP/P6nktfeDaQEPJSUU1CR6o60vyc14HK0+txJr8CGNBnoUrxUjDDaoxjFKEYxilGMYhSjGMUrENdlRftSp6P/9fSVUks/u8NlcnZs4VbjYst3YdOgRXxilTGBx5Z9t3rvjFfPn6ox9KQDlTZSjXugw9CPV0X+W2eA/fysuM37mtxbbCwHFbwMjG0Ga1xJ2pz3stw3lvz63TTBVaEpgB+sgJrF1sD3n9vw718CK9uFiCswm+NZG7sh42oKpHsqSWl41Z5MuxzSKlS+JenmyDVa1+S/aVPWK50tgINI0mHo0hAXYQneB0lKQZdmDDoKT9f5Oa+CvvIcVJC+1fo9PH5X0astYymv1JK0oiSNQ/V8f8mrlyn4TSHY2Ief+RMb+6UDboMcinMbfk0vNEGGMMnKAUttv/9f6Xzqmr9/R+UeG2tCpfHZ9T/C4+8uOf4zl/ZWL/ykYBB0ZL7pbfb+gPXiN5fvuqbvOdvhSt/erEuUkcLJUmA+vtx0zszeipvQLEdcKZwo+ru/nHRzj8miV3QlqdP3c81AN3XnGOkws5LLYsNhGgfGHHqzNe+SbZLUATWLPMi+nW8yRKkNxljnh85Zme7yGl2A7yoClPTpiLkMici7H1l5h206x12SOmDMj2bfY2MEO3pK3kmVpI2hw5mow1prsmTiVqhe90CBrAf3TpIuQ6W73WbUwCsR9YSv5xOxK/acjtyrYvOAn5NTLX/P9iSuTZnpz8d1mWhvzWT1kd1XtlduAs3rfoBg94UFTyx+Eo6vgOauJI2n/eUI6UNTXACJucmMfyYZDEjSMwN/kI6v/7aNxSDnJEkTmz3RJuhLA6AzM2MMnaDj9wAZtRczbn4NpODeuNkhBSE4Tynln/vVhhOa2l3GM6fG/f7tGXqbfFNAs7nRh2sN+d9i+2k8fg5c7zbBYrENNjRPrbLBwCpsVN467onm6XXGOGdho/Xchl/nU4z80IFxv1aXm74wFYfsbJmK/W9PVv2enpePSdLf3OkE0+fr3lImiBc9z5L0Kzf4Yrkb3on/eIaxp2Qksqfo14mIXxLrHu/IOJnv6don8Ph9aU8q54b+TE4WnZwtSQ9u/KaNEUY6RCiiIHfAVoeNnSiSgBN9HpwVD4I2tsRJNcFptgXwwBQrgBFvJNhxr7rhSW0t4VJy0yWHfkjSdM7XCbBqwNgBc5wkFYqemDRiP/8dQybcn5DrSKeia18jV2FT9Ujt39sYmZNI0vmuP1OzGd8QF8QJ2Dq4nZ5e8032dPmn8fjDCZ+7iSCbT/rcvX/I91mRSz4+Kodt/eDkR/DwM6B53gPi4m4gKErSt9o+p9B7ShtHSZpNO8fgZPsrNtZon8Xjn665FnazfK+NbR/6+7AW2DysQFJ+JM3GWC8V12WinU0Ota94ZcKRByOVz55ijcttkCv92UXfxXzvjLsuSdJu0Kn85qp/6NU48hdjU86Pf77lif6J2IH+knQ04ZqQqYoL7PfEG4WtoONNhi+djj8+USABebrqE0sWEpjz4DYpsbvfCTBcofOUpFVgSh/K+ku4lmd94X7sm4I5IHT1ugEyKGAaW11fmEIJxInIj5/IeFLXATJoSFu8BAotSWDOdwMYbRolNn0hILoBtAN0otvTvwOP3w66r5mJD9tYPtBl2AAyZG/oz9/WnD8755q8ITwCeG6Kmyr8njxfvzZjqPWA4noRiAe1ricF+ypvx+PX5RvNHUOvlHYSXJJeHrgaCAVhrCUpCZXCJXlSRNrcRBCUmJC3f9KTqlTMy2Ex9mTnsepv2FgoqduUdSL05fisjV1Y+zIeTzEELeWNDnfDljt+TwbjntSQ/0JItSMX+9zbgg5hX3z8Afk7fT5yPC5VjiWpCzrmr6n8lI1VI16j92QcI94EMmc+YuxuUZ5sLqS8+l0NaKOPZ/yZuj3pBa6qvEpB6hqSNIBrTcZIu4r8nKebnuOs9jxHmMly4eVb19ilCt3TnXJu3FTm+23skaRri0u8IT1d9c3Pdtj8pKFzIEkbfZ87u6lrV+F6Ma7LRHswjLTaufLC9WEBvQWIXxKTx/7JY74wHCnzAj4GEmm7oFT1RDVAnmn7E7s56ZW280DIkKRtILK+CFnNMDAJtsDI5TwopOzK+8R0aYPJM+OQAJ+C6megUKfn1/38b6n4Z24JmLPcNe2J/qMrvjAvwgIoSYfACrYWe1Xqgfqv4fH5rE9i7S4rlFDszLqcWh5e34dBRvHVE7xbnwR1nJW6tz/3Fv13StLTQPzblPX79MQq39RG3+9fDkhOWyN+zp+IHT4wIa82bACRVJLOwUZjrefP72Tfr/P2gC17Oe/P3zxUyS+3OCk8U/d7sjXv794DTXYhPJqZtbHD8VEbGwZ0OC9HvtHMQ5fp+Z5X315OhDo31xqVyO9zVjwfX9R9NjYJXZLlaO6av59McGryRVmScvL3hBwTQx3Gaw1SqJCkt5V/1sYmIK94aM3fk2PtT+NnHs6/zcb2xl6p/CoYlkjS60o/bmP7QO2qUuHqYQoIxop97LAcRilJD8ZujJSNfEO5IFfrkqTFhj+/fejcvCbvBEFJWmqBtTfABrPw7j0XuQyiJK33/PijKb9PoTjT803B5cjnmbG+zyeSlE7B5gs6Jxl4dyTpAjiTTUFHIZ+awuPjMe+yZVL+7vUiz1tC8+GRhG9UAjz2l4wRGXIUoxjFKEYxilGMYhSjeAXiuqxo9+JIy1fhTwmPehPASSQ2F/nQHq8K1nrcAslD+51IZnuKvIvKwo7vwoZX/zaaXEG5DDJXQ7CcJYkmSbp/wSsrd23263ep7b9/NWDv+u4dbsRxFsxNTtb4noylSGYHyHhprgqRrf0d01693bzBWrQt0GPr9LzaEGrJ35b03fbXsl4VnK9xpXB37DCnC1B93Oi7bNhSh+/JkzX//TuhUnvzFGNHbyx7Bexri94SnQlIlOaS/kwRxvhXFpgM+absD9jYfd0/tLFskludN6T9Wl1o+nv6p3N+7z+8N9D+BOjOOswTp9b5Od0/7veK4DivSrmRhCR9seOVutenXIpuvsfVT7KmJok0MtIIBZEZyYTm5QTZKNfFFugUacD3X24z8W1z3t/dcdC2Tgcq6qdrn7Ox4TCgI3qNQRX1TQEyZAZMmNrQtZxLOPHw1pzD0yTp5NCJo5WUv083lpkI/HTfn1OCThxKMrzzd6v/3MamwS79NbF/piR1gSSYTfi7ty1iPPJGxol/hwqubw3TmSRpAEnGpb4/f1tTgGcOfGaj7RXttXHv2q/3mB+yHjlxcTdg9E+JIUqVzC4bK6Qc3jcVzeLxbdDnvq/xSRvr95lgSfJ+WYCE1CK/JgnQQJekVeiG7gxw414qrstEO5ZjLQ+WPFE+vsYP3AFYLDcVfGIsBzSjvwVGIF9Z8AXs9mluKJCW9KfWnWT05sIP4/HPRs4qbg49WToQM6niwIQvQtRaGQe3yDHQ8Jakixu+MJxvAm4ZsNCSNJ3yc5oB4h8pxkhSBaArpG98AZygJCkJRiCElcvFIeiMH7+76wvjpfireDy5+22OvYVWBPxYaLJvQK43AW6nKdg4SlIVlDfyYFhzqcHHZ+BZoaSsHlAeGBvz+3d3/G4bI7fFUNC5fmA3uF12+Tk/DXAa4mfcszWgww35L80SSK6VNBV5Ak78hJC+cHnorVpSzNmRYuLf2ISrvpAWcjmzHY+PgItwoerqPGfXPHl9OdALMosq5zxRlKQB4IEpUTvbZNIt4alfTtA7cdO4J3V0npJ0MnZt+d19TxYSoCNOGy9JWm+6Dnqq4PgsX/QAACAASURBVO9JGrTuJWlbymEiz+gJGzvU5+fs/VPuILvU93uyHDNnYgD35Gl58r8nyfwQ0nfeNOGbks+0GHc/v+aGOWR4dLHrMJFJgIdJUrng7/48mBA93uTCyx05J66ebvn1I71xSTqQcoLzA7CeFQMGYtnYz+vEd7khPZdwE5ycfI0ehkzZ+mdtrDtkONJLxXWZaHcGkU5tXDk5HQE8L8nTSVIME9sQKtL5QPU0B4nJYTBc2T/GOM/LLX/g7u070WYyy1W1cttF7u/M+M74+S4nIOc2/Hfdvst/0xSoroSIc6TQcrDk5/9bKyw99H0TjgvbUvasZHmBSWptUCMhZ8Ivr/8iHl8q+MKUTngCtS3B5ii17rUTjShi2OjMgOsYGaFcavNrflvFNzVTgHFfgE2SJOVA9o7MaZ7rsWzZ6/KOv/wdqP7dWfnrePzTfcfUbpMneitiguna0M/rpzY5Fp48lAqBzcd829/dG4peLQm9J+mEj6+CA2Z1yBvCMSBvPQhV/oNZJ0xL0uaAysLVMS4mMzagKpZN+cKajjgBiwO8kaujAnbT7R5zbogLcUqP2NjBmLtZ1cixq72MX/9ShonQmYQv7ESyqtZZti2TcX7HVjAc+nLDizGS9MYxJ8KTs/g+UJN4qPengc900vHn1/4PG7u38nfxeJKn/P2Vj9rYpZSbqEjSvUXHeJ9JePK71GTDk2LWn9+Njt+TRJ7fUyJeUtf1dUMn7UrSnj3uLnj/qq/HxwegjDXkzUN/6GvsWsPVaUhBS5LGoEh1MeEY9W1DNsxJgwbxNPxtHyQDJSkdKtVfYzw7cIWSfZGrKJ2PvXPw+hTPh18YsDPqy41XNNGOoqgi6dck3aRvF5r/mqQTkj4uaVbSWUkfjOO4GkVRJOkXJb1TUlPSj8Rx/OgLn/NhST//wsf+0ziO3Sf4z8VYKtYdk1cubu0BtKkDqh/4mZAolsa5+vqqLkiUAVGgFEjUd4358RWQ93t0mY8nmAi5SOYDWsBrXU8MSDliFX5nP+aJiRRWDoBm8fvKTLQA2VE1Wn7+O+EzJen4uifgY7DafGiLV0okrkgvQ09/qcvPRA9gLg/Xft3GMmlnXktSHypwp0CJ5vu2+3MWSuo2AXFvDuzCQ7b2N5R9wl+uelKxL8W/iaTs3pl3JZgWJJqS9BC0Wj+z5lNDyBr73pxXvwmmAUatWurwNZ0t+DtJMpghxSHSN57M+t9u73JV6NjAF8aJnBOyWgEb5cvwnJE60V5xS78bgz5y0pP3vrjKW4ekOJf1Ddn2tHfjVlNs677Q925eFpLfdYCjhCKX8M7FdOytc0lKwJxYTfv3ZyvcYd0pUH2B6n0EXTdJ6oK1Oyn+FBL+Qt6cYugFdfPeWP4ZG8uDtKLE3SyCw4RgAhS3yqEjwwKvJ+Si+ETs2vDU+ZCkAYynINEMEefy8PsXEt4laHUdDtXsMIk+hkQ7B7KwIXWeZ8BXY0zeNQ1dEyp8zPWdsL4bKt+S1ASJPfpNoSDVkUrZyaC9hKsABbiQGgNX1QyZmnyHeKXJkL8o6c/iOL5R0i2SnpH0c5K+GMfxAUlffOG/Jekdkg688M9PSvoVSYqiaFLSP5J0l6Q7Jf2jKArIEIxiFKMYxShGMYpRjGIU/5XEK1bRjqKoLOkNkn5EkuI47krqRlH0Xkn3vPBn/1HSfZI+Ium9kn4z/naP/MEoiipRFM288Lefj+N49YXP/bykt0tyB5YXIo69ivfNFa/UPVvjbUxhu1dKe1AVPByAftDf/uZp/64P7+XL3+j7jgkkf/Xs0HfAknQzEKU2wB2PdrCS9IHSW21sFaAPTSDUNPq8dzs87lWVJsimXWpwWykPxDnaV7fhMyVppePnWk4DmTLF578D0BNUKb7U5S7D6sDH9028y8biQLXgvtV/bWPvBeOBBvAGLgak5MbT3ir8kznvnLxvB1cfl6HV+GdzjqkjfLsk/VHVq69vKXr7OgVwCkkq9b3a8uqKOxPuT7OTV3vgz9onlr0q86MzXqk8CrAbiav/ZLZEY5K0DB8bwZ9S9UyStve80vykHKPbEXd+WiDxRQ6oj0WubS1JA6ieLtQdprFr/I14PGlOn+14S3gQIC9R7B7ntvDVcaz2uzhOBOfz1S/ZWKHyg3h8ATCpjaHDBCoR49bLwPv4fM1hGiEd79PySl+m7h2BKlT0Q3rpF+Xnvy12mMDSMOBW1fNrcmjcNZOPVz+Gh3cAfvAEmODcIoYDERm21/Pf9CSQ8SRpe9E/d7nj9b/pLHeNj1evrVJbhIp0qKJcbzgeeW/+e2xsrudVZklq9bzz844J72hcbvN68M2aa8sT6beW9PkoFPHLgJOQtj7xGxaGfp2m5KRNiTkGf4GC9isKHdkjaUnSb0RRdIukRyT9rKQtcRy/SFu9LOnFVXC7pD/f+7v4wlho/IqIougn9e1KuNKJov7V2SuZsT+1wyex/eN8xQijPQ+46cEct8SbkOx874wff3+AJH9/zdUkZoG9O+uXQRIvzKtdf7GPRv4SSgyJuNjy33QCNiof3MUTM2mL10GN4bZphilsygDGGRLdT1zgZkcFLNwJJnAeXDklKZf0CXO+6Yv9YoKVYFLy4wuxt4rJhU5ig41HY092blh3TNoNJZ6YCbe+pwibpwB0hKbAH9jlz/mlQKJ/qO9JdRP2KUttTqrqsNiXIk++80n+/o8v/TMb+98PuVvkH8x5+/qfvIr5ETSjrMFzTnrjkvToso8/NfQNyc1Jdtx7Uk6yukn+TDwxZJLWdNa5CDPQPj628cd4fLfHhk9XRwc06CU2rBkMAsnaVZGLGHox1/D35JaCv0/NgLNiGwh1BEc612YL9xjc9ZptL5J0QTVDkjaS/pzns76hIiKrJKVBTeN5MIcZB37D5QFjnMeS/kxcSriSzFTMa9QX2x+3sT05V8dJJvmelgDjvWt42MaOBzSnL9Ud+53P+bk2WmfxeHp+H4v93Xtb5FhsSdoD/KRTNb+m21MO+zqXcIKjxM/Z5qHnKO0Mk/lKac8xpnM+d66DgpskFWBTQOpC5BT7XyLo/X+o6xwDcso9NnAirCQtVX3uSM7c9bLP7ZVMtFOSbpP003EcfzOKol/U/wcTkSTFcRxHISvBlxlxHP9bSf9Wkmay2+O3TVw5EW0DE5onqrzbTANWbc8YqDEEGNmfvgSOe7ACv32Gd7XfWPPEZjLn5/RQw1nakjTW8wn3VmAqf67jNsSS9J6042Tp/N8645lqKCk7ueHXehY6Aud5/VWy5C/8ChiOvGOGF+WHV70q9MyaP3ohktnFhv+uudhdx3IBJ7EkuM4tRD4JZYERLbEz5cGhM/KPVvw5fWqdk8JbKv78vmeX7/5q7RCW3xc7MCZEV09J2pT160/OiH+0+i/w+HvK/4MfH3m15mKLDQ6mILEihZb/fq/fk6fX+Tm/fdIXkXlwkdzGnF2t9X2eOgIL41N9rgqVk45nHoILVIh0eKbqC9P+isvbhRJqqipdWnPlgU5gsZ2MXPmjWIBK6cBJXpuSnEBsKniVfBU2xOVA4eJC0yuleUhKpsDqXJIub/A8fXUsr1+bq6bECehqgu8JOTbODv2ezkGlcTI1i5/ZGPrcl0/4unNuwInuppxvsql6Xcwz8a459HmuB12OmZifiWjc15NG3+e+zRPvxOPpPckAnld5TrTJmO2JqvNLCPcewljnUm7KRvHmPHNW5pogbgDTBEkTfvtzP2BjJ3P+TD1d/Z3vcIZ/sZiGTd1awr//ZMNVjF6OYlFAWO0l45XEaF+UdDGO4xfxCb+vbyfeCy9AQvTCv1+cHeYk/flZdscLY6HxUYxiFKMYxShGMYpRjOK/2njFKtpxHF+OouhCFEUH4zg+IenNkp5+4Z8PS/qFF/79ItX3U5L+VhRFv6NvEx9rcRzPR1H0WUn/7M8RIN8qiaUhXoiNQV8PrFzZ7r13i1ffjk5yRXp3watKhL3cMc7V05snSLrKd4EhecGbxrxaMpHxbVSmyRJZuaGPk27uEPCUklQANQ7aw6ZBIeGT57nSd3jCP/ORKpX1eLdMGOsKWIg3AiZCp6FSvrXgn1nrckV5uecV5Ql5BSFk5ZoGfeBTPa+q9VOuwS5J2+RVuYb8nJoDx03fNsGdk+M1v1ZHAKqWDjyntZ5PH0td37t/YZ61UN+2zc91BeQQDky+D48/Fbv00lLD26rDAp//LQnH7tYBO/0UPFNkgCSxNjtBsToBJZgjFe+IPLLmFckbwBxEkj6x8gs21p5wG+ECQGwkaRIgSsfBnOQt5b+Dx2+AcsDl6Bs2Vgu05G8r+rkugOFQOeXVq3YAjrJNXj1dil2hZKHDtvBDqHat1L1zElJrT7wMcx+KNMAG9457pTQTs4fA9NA5CgPoaKRjP8+1mBUuUpH/bQu8GqaTXJGOoMa3uewtedK7lljutJpwuc5bE2zikxg49GodrL3LQ8buzgXUoa6Or3W4m/GerKuhzE64QsYUYIRzA65IH0t45+VC4qyN3ZXl46sdn7sWWv7sbwSUQMoAr5waOhxpHKQ5Jak/8HWCIFYhdZ165M/fDUmHIzXGXHFpfuA8Bkla7nnn5i8Sr7SO9k9L+lgURRlJpyX9qL5dRf/dKIp+TNI5SR984W//VN+W9nte35b3+1FJiuN4NYqifyLpRVDVP36RGBmKgQZaS1yZaF9oOqGJpLQkxhNT9AMwCdIoJcOUR9e4fwxKfFoHfbvD4rbYIiw4z4FMUKhVWdnsJL35JrjDAZ7yNuieSdJswV/OZ+u++RmHDYUk1eH3r4E8YRa0nSXp3AY4Hk6QwQJ//6vGPAF/qO7XtBVxUnkg4S39YuRartX2GTx+NedJ/Q1yTOJZgLjsgo2jJFUyfv/awC84D5J/kjQGhkUdkNHclOFEgzD+51o+CR4MOHF9tv5rNtbr+9QwzDvOUZI60GrOgeFOH6T4poEzEIoDZb8m5xmhpDJwCTYivya7QJtakg5NfNDGSO7zbIMdSG/Lu9tmKeHJBpGMJKkGmtPptCcwvT5rXpNsHOkbL60zGZMihgQmAlfcUOGhBPKC7YDEGsV3a1hDQUlxPpBo9yGp3pd1mEex6595tv11/MyDed8QPdVw3P54keUBJ4a+UFQjkGcM9Nw3ZXztPAUmAikiLEmaBjxvSz531xP8nG4perKajXyNeE2KE32CZByOj9gYwTSa4PwsSQlIQE/XHCahCifaEVyrVt9PdGuWn7MLHS880rM3neH5nHTcv9D5v2zsTeM/i8enY3+n6fGZibyYVU2wNCjFXwTr/Iom2nEcPy6JRBPtLX1BbeRvBj7n1yW56HAgysms3jVx5eL6rRW/PO/ZzsS9y21/idMAJT8FLnAS21ifAzemECHq64s+4d/f9UnstWlPiCWpGPn5XwI88J4A/owq1U3EavlY5mWAkQ6W/Hd+8TJXpMnGuwAbootNngRumfRF5OkqJVr8A+hOESawDUmRJCUhge8P/PkLWVMnEpAUp3yjtbfov/NckxNdcoYkvfnnYEMkSTN5IM1CAjkJhBpJerrm1+q2iieQS21+T15d9KSSNjpkoiJJvaHfPxIDICw5mVJJjPFu9H2QFlpJWgd5oaMFJxmda/KGjja/ESg07Bu7B49fihyVt2Xg1fNj4gSsnPBK8wRsdDa6bGJ0IXJzoTR4ENxY+FEbezbgzHi2+lkcvzqIYChJ/e/Sne67Ddo8nm17l2ASnP0kqQwbeoExUQncd7cX3MBJkpLDa0sdTqwzafbOohverDad9NvpMrl8vny3jVX7XqQ4lWYTofWEX9PzG35NQ99PCi+FoSfaK11OilfBWZbMqp6krl2XyZDZlOcjh8e9Q9WhhTsQSUi+Q2tkGQzc5uTFqGFAMWgy7evUeyb+no0dLPN6RPHZNa+I74v8mcglGN9OXYa/SFyXzpDNwVBPrF45OQ5gH0JqAJL01UW/LAQzIbdIiRNVUl7YW+TV9nDFH7gn1ryqcmSCK+LHq/5yvzrhxLmLA2+1SNKZup//tgK0+rKeqX38LL9E793pv6kMVf4cNwmwfna85knZyyEdPDz0iv7tYHogSd2W3/+J2F/OS2B5K0lLkKzM15ylHooUKAcsAflpQFJiAcnFJshInlj3pIYSakn6wrwfn4WKcDpQVbplwr8rB0yTEPmGCKbjoORSAYiPJDUgKafvHwO3y43ANc3BhqgEDNH7qkwGvLHk94/MorbneEP5fMff6Qt1T4pvLH0fHt+E9n8n8jb5EBQOJKk+pGfS54RWl1uyFyKXAqw3T9pYIv16Gwu1lCmBHkD7e7rALe0NgHiRsVQCSPTSy6t+X2uENuQUzbSDWtqRdz2nB56ADBI8n58bOsmxC232VAAKNyZfu0JJLUU14c9pDr5rKWIJ3BaYGB0ee4eNDcf4OafuwYm+K1dUMzfg8bcnnYzaBmOu8+veeQqpdqTG/DOXY39O5poMO6v3/F5vL/i63SD7YUknoZh3ruFzz+aCu1RLTPA+nGQTKAoykiGCabH8t2xsu1wSWZJW4Tn7r40MOYpRjGIUoxjFKEYxilH8NxvXZUU7l0hoX+nKHTNZeJ/mLj+akxSgUneizuXXm8q+M7xryscut7mifrzqkILvL7kWbiPg2bA1f22tlS/VuaL6uqwbB2zJ+S52HrS1j0zyNbkMKJ0CbA0vEp5B0m/XXCLshytOCHrtNF+U41Wvyh6KHat2f/8+PP4measyDRU0skuWpPubH7UxqvaELIcJU0pEk97Qr2kRKrKS9EwNCKZEEAjE7YDHP1b194TIgJI0Djgj6mo+1WORoQS0WrfGjgcOaelujx0rSDCP59YBuwga5JL0Q7v9Wm+Fd4fIsZI0A4Xq03U/nirvkrRv6KTZXtHxPItDl8eTpPGkwwzO9FxzuBmoSN+c90r5xYRrMe8ps4nMEGAuVNHuRD6hHMjzZ1JV6/bKT/gfBjrqaTB2SpDedwCL3QV+TAgPfq1BxEGylZekpaZf//WWQ3RODRyPvBfMeiSpeY0ksR0l1hw+Je/8kTweVckl1tC/XHPoB0mAStJcyqunJ5qOZ74D1kJJ6srXqe7AE4oDQ+ZRnRk6dKUT+fMznvfqcw9Ig5LU6TtGupLxinBIGrQo76blgCBJEBdJmhl45+g81HLPVxniRaTfZSBOVqueC0lSGbTVD0/8kI090vyEjREPQ5J6Xb+nybFZ/NuXiusy0W4M+3p0/cqS/1TCs+etecauHij6S5QHkt1ymxfLjTF/uBbgb882eLEspvy2ECzqU+ucQCRgEb81cuLcwQQb1lBeVAM1hnMbvjJVsvybCI4yCxsawoRJ0vuKnlRXYD+x1Am0bwc+iW0vePvyYosnxmrsixDh/KqBSSy0YFwdUcTnT5P4SsoX8PbQk/cQJG/HmF9rcku9scz3pAwJ/DMNv05Z8YZyEPv1p98/PmQuBGEC26AQQWoIkrSQ9LbyADYvebgle0p8Tcisag3wmPuKTDAdABztge5xG5sF1QRJygF8odo+a2O7cuyYlwKS3QI8e6kkQ1fKoAM/k/BNam/Im7/joINOQdAHIghKjLPsgGJPJuYCBWFKaaMxGDLn51UVX+xXYp8nSG9cknKQBOyKgDgHyZ8kpQt+ryZiVyIh0uyZDpvwlDIOM+n1fUNHBQJJ2hR7AjkHzo6UfEnSfNOfk03jTgcjIrHEc8LR7Hts7FttT8okaQvAH0hJJZvg378jcoz800PHmE8D9KQXM5P6fO0+G9s+9GLCedj4Suy1cbHj129Hlr0iaPwboFpCz7MkZYDg3QR+wucb7ooqsalbM+a5/+rYkmTYWC3pcKa/CHTkuky0K6mUvm/rlQ9yG+zCKaGWpN8/5xPOG7f6JLyHif/4XWRXvp3XWp0D1cDT644prPZYoeKmpCelY3mfBL6x8st4/FTif/LjU76IEfZ0jCRXJO2aAjmmrk9CIAQiiZVYSvD0nmvwbpusXMlxsCF+MS8P/YXbaPlYq+OVopcTUyVfQCVpb+IOG3uu6wvzH8x5VagAUlySdOeUT4z74ZmeznBSdIF4B6COErKsbQHWbwHcNk9FLJH1moRXNh4eelVrrcl41k7GX7TypC/WxdS1kxkfBhOsLy75YnF4jLGri5CrrfWdER8leEP4bHTCxrKwgFFSIElrcjwx8QNuT3Gl87g8Mbth4IS6TsQSYXPrjumsAPa0DKoV8/LKtyTdAYn+p9f/jY3tG2eFjLOrTqYcy8/a2J4CHz8W+3uWl/+mS+JEOwnX/0T3Phujyr8kHZ1w4ugWsJxejL2bRi56kjQBsnfLRU+eT224Vb0k3Qrz3HzReURzNVbH2V/ya00mRhdj36RKUnfoG7UhyJjuGPN5V2JnyJ05nzvmh9yhXATSL6luPBV7N6nenbcxScqmQUoPhBF+qMIV4U/WnrSxSSDS5lPcOWlBN7APrq5Hxp3ELkmJ2OekEx12sKV4fvWPvvMfSZoGB9ZdMSf/c1D4Ae/A7xgjjPYoRjGKUYxiFKMYxShG8QrEdVnR7g6luau6K0+ue6VyK1TfJOl1W7x8egG6NdAVkSS9ZatX5eobXpUI6XhvA8/qS4BdHkv5DlYSYg2fBOb73eW/gYfPAMab4AegmMdfLmmh7Xs6wrIvdRhmsAwSbyQluNzm7yfpqj+s/Xv4S67eboFqSwQSKVsLXJFe6bp01XrDq4+ZAM6yFfkDeHfa8bC7i94mDkkutuGm3lDyUm0Ij/xby96CfHPBK3UhJZlPASSiMnQ1B9KnlaRLA68WLdZdSaYI1UdJarS9MkTV699a9Ir4W8bZiGMCdLAPQfWaYDuS9M0lMEZKOSP+8f5X8Phez1u9aw2/TzsnuFLZBpxuCiA6oTgUOyTliaFXpcjwReL2L9l9U0X2UIahcCloqQwGXpFcH3KlkAw2qMpfBBUiSWoAfKE4DLRDIVodP6/D5ffb2FqGLeSr0KU4mve/fRbeh+UuV8lnQFq2HPs9IbMfSeoMwTAn8ucspEE+1/Uu1/aMz9FtsYnRdMLf3xSYTTWGbEO0KXLJSpJ2rYktPyZjh960Y+/ytAb+/SGr9SXoaFTz/vsj8ft8R9LhMO3Aekix0PW5Kw3nmg1AvCKoaBPEbX/Ord4l6RLYq1Dnh7rDtZhx7/OxcwkiXbsSyotxnSbaQ53buPIF3Z11nOeFJicQLUhACLf8qjIndS0wslkHjDO1iSWJ1HOmIFvZt8FJHWFXmwFcF8UiQCo2A559vuW/n8hcEl/Tc01//L60zFjmI0WfxBsAxzkywffkly95ovumsQ/Z2Dd6rPtKyV4hCaYPQ54E1xPXJvF1ef2bOH5p6G3lg1MvaZD6HYNU8xaB/PLYCuMk3lP2pPqxVV9syO1Qkg7HTtyjCa8RSLTJdOLGsrtI1kHLVeKFGYwpdRSwizsCsK8SJOoJ4B2EYH5dIAN+T9YXwCcBOiFJcwl3N6TmdUhbnIxg9k54UkUtbUkqJ7zVTBCrUEwPPQE5AlJoDw9dBvDd2dfgZ5Ju8M6KEyeLYrfMzRmH6RDB8uGIpT1vL/81G+sC8S0UlGxSqzsLknmSVIt8TiUyLeG2N4AHIkmL8Jk1+X2+tchJUTX2eSIBeOZEYJNHRYoENOgHgUS/n/VkaR3kUnNifsg6zCmbhg6debZ3Hx5/Y/oeG9tIeFLcaLre/P6ACVBuwteeBTkP5V+e+VU8/nvLf9vGbir73NsEiIjEsLEhyGg+N2ARhiRAHPcPIdEmcpakHQOfezZvOJmVpJ5PJvjdXaz6epyefvna2tdlol2P1/TV7pV4nZ8oOy5oZ8CauQ3KDZRohyqFtZ7/j2rHby6pm0gSyXtTok46ypJ0dNwJEHNgcNVMMFFkAYhKMx2vnj++4ZPNj03wYrUAeF4iiZH9vMQamXRPNgdMgKjasr/kk/iFDbfGlZhUUY6BJR/AnrYDaiJXR6iCU8x7BaYL96kLScWlgDzNjTBhrYLVfYigunvMv+sxKOBcbnGivjkP5iqw+cwNuYJAzpbbOp6APJfgqtQYVCAXoLDRAHe03QX+TSc3/JxmSLEHOjyStGfMM/gNMLGJA5WmG2LHQ6cn/DMvt9wIQ+KkehW6McW0J2WS9Nz6p21sAGTKUAI1F3lVbnrov2nv0DcfIRzkOgDq704B56HPFe2e/J3eUbnHxlrQYZGkZ7qOUz6S9sX6zspfx+ObQPwsJn3pfrjHeORe148/D3jgXQmf4092+DdVM144uLDmnYut5R/H45eSriTUj/3lHwbMgojgutB0G23iJ0jSjqH//mPdP7OxV2fYFC4NqdMQEri70+/G47/c+E0bIyw+dVKrMbsYrsDmY1fJLch/Ztc/xOO/VPfOXRdMeMoB9+bZhp/rcuzdtNU6zz1EZu1FgA4gCblAUOHidOK5az6eNh9UTPlOcV0m2hOJCb2rdGVrDdaqoOoHJRazIFx/uc3HE/lrNxTlGmAYIkljcCO/vOikgikxdIQWHGq1PgxVUkl6f+mtNnYIqvcxJJrkjCdJB+H4uSZV+TkpJIesnwDXsgAXU3eUrk1NYmfM7nCPxU48zYObVEts2dtoneUTu8Yg169FUEIpDsAuO3BNPgHklzdkXfKQZPikb0O0ro6boHr90VXuEoynPCk+mvAuTSiBOtPx378Km89MxOVnIt/UYaIopb3SNggYtqThZMnCncyCJCkBDrTnu25QcUOGE93VnieFm+NZG5vK8XO+BM85EeJI9UPipJrirpIT9CRpXp7Uf27DTYFJxWdL5h/gZ84Ca3oVCh9be1wkOJnw5P8yQF9Iik1ikmK67LCvgrilvi/l5/V03xPVpZqrdkhSPufndTzt0Iuj8iJDNsmJKkm0kdPwE80/weOJNE7FhJDqyIR87jjX9XNqUYtK0uqkb9TIBOh0zpN3iTucp6q+yby18lfx+DsKTAi8Op7u+4zEVgAAIABJREFU+eZlbcO7VhIT/pOg+BQSLOhBl+WhDd9QvX2KIUpkQrSj5F2muQ1+Tm+J3uDnBB2JzzSZILszdmU12tDV+955uTli2Nm+MV/PAo/US8aIDDmKUYxiFKMYxShGMYpRvAJxXVa0N+K2vt69ctd3uOt6lCXQq5ak2dK1mXb88RJjD/OgD/yGacfzPrbCbbHbprytupjw7zqccEKGJK11fWdbSvvO9lCXzQRIJ7IOFbj5plfPnoT2l8SQhrNNIo9wpezVSW9L0XleaPK9I0meDSieFwI2ymNghLIW+265EvFuv1RwOM9sAFNKQbJr64C+Xe955Xt3kStlYx2v6lC1Y0sAd08cg4sbXoHYk2SJrJ2RX1PCjT8VkPcbB2vwhT6Zc3Cr9RJ0CYrxD9rYloxfgMfX+Dk5XvWqEF3/QqD9uAgM6/nEWRvbJeZnbED7PQZ95CfX/wCP31/2btZc16u3zS7DcagqeTTj1duQvB/pLvcAdkUSXWMprhttBujyA6v+mfvzzK+YAJjKWMkJroTbltiu/cmhm6OsbTBO9J0Vb1+TZvZMhatySTDXKcjXoznQlq6kuEofj/szlQc8c0juNJ/1jso4jF0GIqgk9eH3p5J+T3qgwyxJJ1Z/38YIznSh6vfp5cTj1f+A428CI53jcmlLwpjvn2QTnZWeyxuWhz7H9mmSlbRr6KTrPMjbdQNtazJwe0PWuyRrkXdNJakGXheNyHOkHHSSJSkBpP320LueW4HzcVn8nFU6sza2DtDg7xTXZaJdSeb1/eUrHfouN31iKARaKOuAAVqHRPONFQffS6yQ8fCKkxF3gWGKJB2DxZpiEHhhiOhCjoGTSW6pLwL4uRf7Algd+m8aDxjGTOaIqOLXqZVg0mYy4RMGQXTWAMsuSadAh3wFDBZCCcCu2AlRZGawLe8EP0namXWYy81pX8QyAdctySfBzgB0qLs+MRHJRJKe7LlpxjvHPFEKGd48serftYdUT7oMcTrXcUgEmds04wDzP+HY7W0pT0BTgHuWpG7fv5+S6gy8T1v51dWw4tearh/cOknScTnOkgxTCDcuSQ9uOPZz27hvdHIZbslTpJOA08wzQXV7wtu305G3XyMYk6R836/fmfhPbWx/wklSBNuRGFNJSjBNYqGLiwQ9+Rw9WeIEYmvKE/UuJBDrSd4QfqH5Wza2v+Bkzn7M60YVIBFkYlOVf38uoKSyKenz4eqQzbooBkCS20Ha4gF44/zAIR2ZtCf6oUSbIoQH/26C4BzB7we3UCRsB4QNhkNPynspv84heCcl1aTkMdHyjaMkbcn5pEg5VhQwMEvC2p2AvCs94OMpIjDv2wGk32/0HPYjSWf6DlO5O6B68lJxXSbaqUiauqqwugYkL8JtS0xybAJ5OZDnIsb7UNkntkfWmGgyk/ZFbGffd/t/uPYv8fgPA1aRku8THTZnSUBSfr7rF2UKpOhISkuSCvCkHSj6Yrve4Ip2CxMLkNcD4pkkdcf95Sy1HH8YqoqtAaGqs+6M8I0xxmiXhl5BakO2FUpqp0F1ZrnjD+W2rCeVZCwkSXfnvSMCypJowCRJe4FMWoI5sDvka5qAd3IRMNabxOYsE6TwAonB/JBxlutNrwAlQXaP3p1awEGbJD8JI18NAP1OrTkha6roidoXur+Nx7+m6Eo6TXnnqJzjIsEimH6Uk46HHQfDEknKDD1RTsJiO00ECUndhi/Wr6n8lI2d6H/Nxuaa/Jv2ltygY7HlCUg/gLufi/yZJEJaOVD9Jdm/JFy/XMkr/5I01/OOwtNrv+t/GHCVJcnSM/CcEZ74sepv4CeSDONCjV0kKdIpn6fqka9HUUCfZ3ndZTxfTrwcu/dXIk4mnB+zXb5RI3Wg06uMe6eNHnEuumCVLkmfqv4LG6P7/EyAyL0RQfW45SpCTdhkStKNOVZSujrSoOomcTd8S8wyrPZ3oOwkSSca3vkojXHX/qXiuky0h5I2rtoJkQvdAz22MH9L3tuST6z6CkokKUlqQAa/BRQWdmSYaLIGhCaKt5b/Do4/0vHKAum2ZsUPTAukH3ZCW46qb+NDr0pIUgSPWg+21msBJZW5oRNAXjt0B8xfu8xVoYOQLFD1+Kk6J8oZaL/SxHapzTCHTVlnuT/b9LZkq+vJuyS9r/IzNnYapJtuhomFHLsk1tG+CFy2L7d9UZCkO6FSV4PkmWx8JeliwolvsXxDkxdX1S6AhXoLCKLDAWfFVEGiIILkQovffWLkP7TiC8DmLJfEj47/sI09uuZkwA9M/xwe//DAScN7hw6bWwoosSzWXM5qCZKdUKXuwKTLK6bAln6uzhX5b204/OIvT3mb/cE13zzlKuy2eR4evxa05OuwIZHYLp1UhPJp30xL0mJ01sb6UBF/Q5od+45XP2ZjOyfebGPJwHI+hES70XfFqM0Aj7tp4r/DzzzVcB33YsE3xDGoPkhSo+UJ4FmoyL6civDLiRuKrlpysevJO2nQ/5cIui7F2NfopYjdnymm0n79D8YOWfyDOmvw/8jWn7exfeP+7p+p8z35Rts3Sl9vf9zGgm6bQORPwxqdBb1zSerDNaV37zFwn6U5RpK2ln3d3ZS79or6izEiQ45iFKMYxShGMYpRjGIUr0BclxXt9X5PX1i5sjJK8m6vj1gzmcD+uaTvSQ6M8z5lEVorZNgSirORV+oW+679SNU/Sbor6bt1QIPoc7X/E4/fWr7bxo5kHRNYbzpBMxdowVBlgiraN4K+qyR9eu1TPrjFK9of2MSay8eqfq2m836fPtNiTGAP8HukJbw/49hRSXpo/aM2lgLprAlwoZOkk0MnQ96c8uo16Y2vBGAK1a5XdBNQvTyS4C4FQafW+v6ZCwGznjNVx96SPnFB3Pk53fNWdb3tBNVi1tuXkpRMOqaTeA9L4Hg2nmGM8eOrjp8kbewVgP1I0h1F77wczjoUbKPH7/5hOUb6FJApQ0HXn3COIXMXwi5vSTnErBHoMry69FdsbK3nf3tv5e/a2IEiY/E35QD60/GOQgp0/SWpBqTbStpJzyvxWTx+peHyfvuK9+DfUuyauNfGtkLnqkMi9JKebXzWxmaLr7exAREHQs5KEPm0VyQLCe4y7My5ZnJDXhE9HyBTUtCzOx4xnIiI7P9/BjlLJkAGlIisRKwPxTkg+b2v9Eb82+3w+pCr7xZYNyWp1/F3vw2O1PvyfP4NqEgj7A64YZKUADLmodgx7ltL/u7kA3y9N5X9+Z3KBDDHL+FJd10m2kklNaErJ3dKnjcHHphP1hxSMjv0h+OQmBC0AAYdhPNc7jF5hV6uKojRK+B6daLixLkcnOtM2SdbSdod32RjBL2+O+kvLCmBSNJnqz5hvnHcsWIroG8rMUubdOsraT5+KuszRh5ONpPkBCoLSVkZJvH0kNtKe0HNgex9aQKW2EY5Bnc4ciGkDY0kbS84dGg8YEZAQR/7sarrvs4kmCBKsdhwiNBgjJMySqp3Ah6X3qdvH+8b2lM9vye7QMv3K/Q+Sro96/NEtePzQT2QaG6HcyUd88+0PoPHH4z89xci36isJ5gktgbXhGIyoMOdiR23Xx/6byW7aUnqJDxZ/NyGK6S8tehuiyFy+FlodX8CNr6vC5CcNgTPBEDkTrZYoaLbczhcLfYixVyHk8IskFFrkZ/TfIeNQMp5Xw92Drwg8VUgXU6P8bu7peAFFVKMmYpZhYkggpfrDLu71kgB6XsQ8RqZAELeRkDh5JWIZOypVzPyBLLW9XUznWTYWQtUY+KEJ4VTWZ7j0wl/Tx5c9OtHuvQSu7qWKz9mY5cjdhvdFnsxlBRS6DpJ0hDUlU7I34mLdYfHzUcuViBJPz7m82mIdP1ScV0m2hvDqr7WuVIR4u3Jv2R/Vw8oVNyTu9XGGoDxDmGVzvV8EdsNhjEhKbtcTJUZ//4QxvR01ckStNvPRKzbtjkBWDEwkhlP++MzDyQjSZqNvPp7qeEv8VSWceNjaZ9cjkOVeqbA+C3iOC6BOswiGFFI0k3j77cxqhRdznClb1fCKzgE3BoGCFk3DB0PXof7XwU89kSKrynkf5pvgNskOFBKUgRJ/U3ybsgJXfsCSknJ/Brj9ik6sb9ThYixs2Su8lDt39tYcvwnbWyzOCn6dNM7Lx8COa7fP/fP8fi0/p6NlUGa8w1p37hJ0ibQsVxp+/u80OfqbzXteORcgm2oKYi89dmA7B3FwUl/z/aU7rGxz9Udtz5YZ5LVTMkxoTfl3mFjX2nweRJJbkfZO0+dLsu9kothrecJ1Ok0k3YPDrwq9/WOk7SagU1SEsi01ZRzGSYL+2wstPG/2Pd3eiLtCX1xyIWLh1f/CMe/m5irP2Rj43nucM4Av6RfdMWiy7Vv4PERSAEOBq5iRDKGkrQaeVI/BpKLKZDLrTVdRUaSEmM+T1yqud15u8zSoGuwdL9qwueT03VeD24uOJmRFJtqgQ7rfV0/1zdl3dmy3uHCyemhF0j3yRPotay/J6WA+d8jy35RZksvnww5wmiPYhSjGMUoRjGKUYxiFK9AXJcV7UpyUt83/pevGMvCzuqRFuO07sr4LjST9ErpuQ2uoHTAynQVYCLTIPAvSXUwnfhu90RpsKGejBm72gWsVBLwTx9f/Xc2tqvkFU1JekvBd9EPNM7a2M0Jlsgi1Zin+64w0q1zq/K1W3wX/M1F/50fnPxZPL4GONFUweW4HlnziqgkzU44drsYO/7r+Q7by+7J/oB/P+B5Pl3/DzZ245hX1CSpBwYB59tuj0vWxJIUgZzYVMnv88oadwm+20il/PpR+3gYUD6ojHn7nxQayPDlaJmVUI4MvXpNMqLvmfgIHv+1nnejPjjmSh4hC/ciSDk+3PCOwBBaypIUgekDYbTrAKeQpMtNV6ghTOkNGbdblqQIpCB7oG3/vop3GT7f/mP8zI2eK/lcgqJYD2BDoejCHL9pHLpWkqZiX08S0KVYaB/H48cLXpHvNrx6GorqhlfKz497RXYyNWtj5zpsl038lNNrn7OxTNnl4SRWTRlAh+7SGnNmKGJ4d2uts/i3K32fk26ecHnDbdC5kKTx2OE8X9nwuf/mPEs25kEGMw3pWDft358cY1+EjY53VN5VcWWyagCeuQ4T1QD8M8YD2Iln6w7p2ArqSiHI7nuzbLh0ddS6DHs7Env1m+KO9Dtt7OGey11K0qXYOze1mnMmvlNcl4l2FEnpq5IQwuOSu5TEWsK0WM7kGSv1mXnXHiU9SppYJCkX+UscX6MUWShWui6ltiIfk6Q5wKTeGfnC+Nbij9jYtwYsHdTqO+47BY/fpQ7jr84nXN+XojMM6AO3fWGrAG6bNmTf/lx4ACB/Gw+QGdOxt5vI3a3edOKUJCWB0EWY1G1jLk15qu2awxInUJ0ea7tTxMAR+G71bSnIsU2SZsedI7Bj4K3u+2r/Go+/vfITNvZsx3G2QyDyLgIPQ2Id9G/2H7GxA8CDkKTXpBzScL7hG+8TEbsI3grvWR9wqs9sMMaboDsTAD0gzoIk3Qkbwqfl7fftEWvmFkEy9XNt0HyGlvyhBJO85lL+TpXkBMdWySEaEieqtYTDSZbX/D5L0rDk1/+2pCeas5kASWzgxxeynugO0kw87A/8+TkMWP5LYFgzDkUnSVpquuzdbNl/07O1T+LxU0WHwhWTfk9yWeehSNJ03iUrifjYEm9Iltr+/gzAGGqT/DpL0njG5/NSzos84zFDZ8YBzkcQvXTsSXUdCIaSNID73IMiw3yLE+1DYLZVhFyICJKS9NS6n/9j3bM2trXN1/TQuF8r4gy9q8JrLOVon1h3wvzRyNfIRodx4zQfVibfg3/7UnFdJtrtYV9Pt66cCO8cdwzO1pgdjmixvAB+3Vcn8y8G7YwPgDX3mZg1k3sinHOA6XqNsR4gb1FsACGrVfaJuQvJP+nwStKjCZ8Y98gn0Zq4S3CTfLHfP+6TFdnPS+wM+vn2l+B7uCK/AQQM0ujMgpKIJJWBjEoY/XuA9ClJy4AnptgnJy8Vc4wbp+t/Muu6raQGIEnnq5+/pnP6riNA+qVFqAebF8L9SlIHOkdYvYcC0ulAVYWS8hKoVpALmyStD71SSonqofguPP5T9V+1sXvGnDgYUgcmPDFVZNMBd7eDY/6cT7ZdsWgr+ApIEsBMVej580tE3BDxbaHpifKBvG9Ing5gX2f/X/bePEqu8zzvfG5Vda3dXb2hVyyNHSABggR3iuIiUzS12LKVaLFlS0ocK4kVO4mz2Mkk44xjJyfJnMSZ2MlYthXvkbxIkSzJkihRFCXuK0gQIPa10UDvS3XXXnf+AKgIfH4fDB0PMzmY+s7REfmxb9Wte7/l/d73WXoAY93waihVeCSpAw6KfR0+qL5e5axaf9JVEvrS49Y3GHufxGoks1CRSACZsRjgIpQzviacL3s1Y6DL+U4S7xN9ME/fmvsR65Okicif/0LsAWgBHIUlaSTnh6oMEHmPgta/JK2rjVsf2aXTeiBJn511c5gdvU7GPbTgB5VUijknuYzHON+suLHRD4Cyj8TJyDUZ3zdnA+o8ZVAc2p1y3P5yg+fpS0ue5Lmx2w+PQ5x30RQAAdJQya+1/PBBAbUkjfZ4gnGydfXJqNfbNRlok+rIqZIHr6cTbBlbX/CNZSjtL4yk1CQpAeXX001f2MYiBuDPtogkSeWWv1zwHWpJCBZJ9o0akS4lqRx5ZuEgBJrdETvOrevwe9rU5YtYKUBwfeyCLwIP5TwD87sXfAGUmHhK7mKtQFDYLHhZ7PZuD8C2dQeUE1auztn05LKP8+0JzkrR8L077QeiKSDCStJp/eUCbZIt68XDF5PMJmvOKD8IBhP5LBOiypAZSnf4O6HKw+1dnGmj8usLVSffDAYCzXOrHsBPLXhQMiU+0JKLYh3GZKaDoS9joK60mvBD3krA3KXe8jlRhoxsvcVbTwUgMbcBkbgLytcvkQSomKTYBAfZ9d2swkSQhI0JJ1ltLjJ0hIKtXqim/b1ehhmUwZn1IDDXQmNqruLPf3/TD9SkGHOi4gQ1SSrXPKOfSvoeGUq8vK34970TikS9HUw8exRgKt+L3TpVac6DLXwycHhqpn1NLNc8K7qY5oz6D/c7dOyxuv+mfqiy1ANJF6o+kAwkuQxLUhpUR6gvpPlIBnj0XYvLvJ88AWZVm3NuGLNEcmOSZqv+uTvk2e8SKB6FYF93JR2OcqzF+9GVWpsM2W7t1m7t1m7t1m7t1m7t9ia0azKjXUgldHP/5afr48t+ql9X5UzXOTDY2JRye9OAPLHuLPjn7lv2jPYsSJFJ0iRZUwcypW9Gi4D4mIRTbAGIZwuQvZOkd3V+0ProlNfEE7RUAJIXacznAiM6C2TWwZx/wJ4eLqudj90wKAnlcyKdStJE5PjHB/NOxuvp4CrF+oLf/zyU8KpNv6fQOKWMOMkxdcB4kJjQRDJJS6AZLEnXg5lAV8rvf6IegOOkvaydTPiYnA1INlKjEiJBhDrBsESSDoLE3FqQtswHDBLOySFelJEfAuiDxDruZSDuhayxJxKOZ86D7FgugD19DLScawC7aq0yHroK69xAyjOtpE2eD0hrZlOeva8CHjdkAJYBHfJpwDOHTHx2Jj3TuBaWicCQUE/aJ/BY3t8zKDtKklbqPn+Lda8cUuWi1uCMLEnZbQKM9mCT58kAyLUeavq+u9jgH0WyfbPLntEOYbzxnkADPxcQLNgk//6lvN9/DYi8oZZP8vh5YysE/o4kI+dbJ61vc4X14sdAGncSzPeGoRokSQ8M+TxZhOR1Psnv9MfXePZ6rODf/8vHfhGvv7P4U9aXA9zfauRr9MaAjjZVnl485xy8v6hdk4F2HLvQ+VTVATybA05i6RVXvngRzDFCChE/0OkDeS7pG/hAk/Fv61pevj+dcPb1Ld0fxuupPbPw61f9t6Qb+0rkJLdzQDTIdPAiUAAh64NQJh8OkKwoKDxW8p3piTnGE+/u8mABYPdaD3haiQ1jziw5drYn76U6Sbot+YD1EaasFNhYMknfbI8uemBADleVgCvpyYpvlvmKL0wzAYx2T+Sb2GjsQeXJBB8Sq02//xKo89QjLjV2tnxh/16C6qttpMMdcnoldZ4tXR4oTgfIlPmEf1elw5//lpjdOivA70iCcsBg1h0kJdbgpw1sMMBFaECgPFlx5v65LK99PaDE88WSm8sUs75GL6wwYboFrq51wF6uALxPklIpDwrPLD9hfe/r9eckSX1QPof9G9cDiQv1UxUfPwSnkaTFGpCWk67jTCpIIdx5Bg65jdjnbgg3P9/wcbpv4er11q+2hQ5ftYYfKnpASSXUCil4LjCl18J6KEknWs7PoudHLfR3xQ4/0BHp+sZ+ho7890kf/7d0+/NbqPE4u77omzSNyVTAQIxMBUmb4If7fh6vL6b9nRwpO566FLmGfLHFkNUZgF19fN0/x7/9tTO/gP3SNRpo11uxzq9e/tKOJzwjub7FRI352CfhMjipdaVZHo9Y8gkYXIkED1hyOKLNYjhiljnJvrFIE7ckuCOemXc1hj29H7G+/sCApQnTDdnfowFr3NGyL1i7ej2A+fgmDgAmYBP76qRn2sbzzLS4oexjZbzTg51mICt2MvJMf3Jp3Pq+MP9v8Xpqt/X8TevblfSMcsgx77XYDwrTi89d9ffv6v2Q9R2DjOhtYA4hSQdj3+wvxF7NCTk7Dmrc+ij7GzLyuNo20vQN7NkFPnxsynr2lAh+Kw2e+yM1v/+Zlq9dMynGo55teUY5l/Tg/XshslYSvva8EvMzXd/yyt8KSKzVcoyJPBg7cZEqbERa/lqLzUWuVsZxqcJ23zFk8AbgM0Mkr00QAHSl/DPTeU5pP3zOA6vBrONhQQFVkjTb8v1sb9rvnyRoRwpceajFPiZOAm56FkxwJGlt+ibro+C9MxOwUAfiam/Bx95IkteeRsp/KyVTzpXcBEWSevO+9lVIsYmV+LQ16b9rsu5KKCRXGjKaozYPqivJQNX11qIH1cTj2QbcKEk6s+rzdAlyJPsXWFns1n7iwfl3PTTGYesJ4DEdKvukOFvzd7omxRK4z8VugvSu2IUh/qJ2TQbaqUSkNW+ABdzV8gXjTDngJJbyrOpg7AHcSkByrw6n+OdrninamnZ9VEl6peGbYAdI7lUD5V+1/MRKm81qjTM4aztd83lz7KSC8/Is/VCaF4EyOBbmEzD8AjCHDEjRUVIxwE/VIsAs5uQL400ZXoTKkGnuBJb+q3U+KJTlp+g6uEASwVJiy+lKCzJVV+ngKUm7IydoTvX6ex4Xl38JUnIGbOVDrb8F7PmEb8zZFo+pZ1f+0PoaDX+nIXe2QsarF9XGsvV1Axylu4OhE6crfn0CoAdE3JGkrsizp6tAsnpxhcuXw0UPQL+XoHpT77utLw/ufscantGVpBHQYiYd7c0tdhw8vPwZ6+sDx76l6OpUeCRpY/oO61uMvGo3WOCgrEM+/oggeT7mw9cwJAk2d/ri1Z3i9fyYTlrfGKg4FQLYk8fP/6r1/TRk5Y5CoDgQM7zyhcXftr7OnL/T7g5ORlEjvf8NAdWTF7qcZNkbeZUjE7MEbwoy9cux72fFgLPkeN7nRDH5fus7IK6yrDR8/O2QKwmdjJzcPRzz3DkdH/DrWy45eWTJdaQlaars+8nGLs8SdAXG6eem/fo9fT53xgKyyERypCLNQIYPtM/N+jtdB6TvlNxVdzbB+9Y7876eBsynr9jaZMh2a7d2a7d2a7d2a7d2a7c3oV2TGe1E5Kf7tZ1wpijxyep81TPdJDAfwngTnng07WTAhToTJe5Ju7nNcsqxDxWQqZGkauy/NQHZ47vyP4rXdwCmcwNAKkZbftoPaYsT+asI9/nVGTZXWZtxjdWTwCXNAelRkr4149mazSDlNhUQ86eycCHl3zUdu2yWJG0ArFwHQIdiyHJLnP3+Ruk34XrPlP5QL7tdjkL2/rWak7zu6WTceQSv+tuLXpZbrXtJV5JykWeFXgKc5vtACkuS5rod916OvXJA0oySNCTPnh+WcyEORQ5nCRGph9OuI/1S1SEJYwEN/ymosvzVXndBPFW9emfA86DDTa6aktQLmFLCyLda/EwfX/TsKUGMaDxLUkfKKzrLAOl4Le1rdEjGsbflv/WlJR9n63qczCcxdGmg6ZnaEL+EoHwE5+pNc6buNiDpkQNoKKNNVQpSSCPiXiFAet3U61nRUhPMjiDLLEl9UM0iZ0QoZEqSdscOPToP2uAVIOJKUjb2tS8H/IibE6xXvxZIerWm3+ytIC8nSfXYKxKzNd/jSce8DkReSboA/JTt3f6eQrLEVCEdBdLtCsgXS9L6To+nCDJaqnNGfAnCmZkKaXtz2Hp21Z9fA0rkJFXc1WK5091QdD3wvctoX5uBdr0Va/INBiVFcBjqTvOA2dDlm2UWyGhfnGI3oTzokRLLvRvKxJK0FixW56v+qnJJvv/Jig+4baAHOZDkkvy+2LFiHaseLG3u8vtfDmhcUivBiaQ7wzCFhdgXzJGc3382oFqSj/ygVEz7wrh/hbGvpYRDAoZrHiwRpk6S1oHyAbUBwH1L0sHICWUUVBOW/2sVdme7LeW6vdmEBwtECJGkNBwUSOP1tdLn8Pr7ulzz+QHQ1z0OZVZJqkYA8wDHv5NVxu4msr6JlFa91HsI3DpD9k9Ukp9dcuxjV5px53nQoe6BcfoSEJYlaSz2+UPQDVLikDjY6ml5UJJPswfAroyXZbcCIe3r1cCBGmBrEyvOG9icdpzky0t/ip9JONkkBMVLNcZoZ+FQUgRny5A5yVLNA4sC7Cehdtca37tOAHJmBeB5krSu5QflGuDuaqDGECLznWr5+CvVnOBXzPF6ngbSeTF5dW6JktQD+totMDb6dvVP8PodGT9UEclwNaD2lYB1fijv6+GBBYanjuV973yi4Wv81Ip0jFVAAAAgAElEQVRzFghiI0lpgLySMlZImYsacG7Vw0uXvr663/rekfAE0+4+voEnpvxZ3T7oe/wzMzzOWbHK94h9tS9ZHxkYSVIe+C2jAS7FldqbGmhHUXRS0rIu8nEbcRzfEkVRn6RPSxqXdFLS++M4no+iKJL0HyW9U9KqpI/GcfzCpc/5iKR/duljfymO4yvSkxstafoNwQEZJJC9pySN5HxyH1jwv90ecNzrzfiEW6j64FhtBDDW0OhkOBx44a9VPNW7I+sbQzaQAdlS8kxfDfDgsyCx1QhoyV0A7HB/2herUXA2lKQLCSdf/em0T8z/sJNds9YXPFig978zZjJnueGb7dMNd0JLBNBYOVBdOVP2w8NyzQmCktSZBom4jGfVyNlwT8qDH0nKQpXjnoyTPqcqzHJ/rOqBzUAW8LgdTB4pAvaZ2sNzv4H9aI5EGRRye5S0UjlpfZ35qyPzbYYsocTBDrlVvtBkb8adkOlaqvl6dGuGSWafXfbAYmf6bda3HDGe+FzDyZSFpGOcQ86UPeCCOFX18UMVHomxz4WCz+nNCc/0zXezq+sqEPfIwnwBzI4kKUHOjkV3vJsCaU1J+tCorymDWU+GvLjAiY/xvK+dv33aKxr9CU8QSVIfGMlQRp2qQaF2YclVqOiQn8z6wUmSlsHwaADWg0KAX0IHBVp596Z/AK9vwH7WAzKcIXJ8BIeqbnj9dCCQpKGc3+3MrB/fRwtuF56DRF6o0X40U7n6Qx5AtLWxwPI4/2qjZ++XgaHbEfH3V4AM2Z/29zQT4LeshwTlk7DOdkCC8W055mc8N+sbykbWW7hi+5+B0b4/juMb4/g7tZ6fl/T1OI63Svr6pX+XpHdI2nrpfx+T9F8k6VJg/guSbpd0m6RfiCLQ22q3dmu3dmu3dmu3dmu3dvtfqP1/AR15j6T7Lv3z70h6VNLPXer/3TiOY0lPRVHUE0XRyKW/fTiO4zlJiqLoYUkPSfpvoS9oqqWFxuVZFLIBzgagE7WWn2Ioo0yn0oufe3WlhcFADeckmOssNvwU11Vl6Ml1OVaueGMLnbKoWLc256dNwloN5fk3ke0qmaOsTfC935Lz7O2DI/6c8inG5BFOsgin9VTAnGUJrN2TK4DdbHGp9DxkhR8D5Yi+AmP6SM7sWNYhPvWm//61aT6Cn615WW1LBmBLAd1UaqRFvDOxG/92Xac/v4NLILnYy6XSk/Nfsb4W6CNf1+v8CElKgGrMSOyZ0tUOf3el2J+dxHNiLuHZ400tzkjf0O/P/8gSYCdzDF69veKZ9iORl3Tp2UlsQnS44TbcG5OcqUyDYc5TNbdGv7HjIbz+SOwY/7dnPCO/VPdnckvCs3+SNNHwTO1Y2kvFSyshQJC3irxqWBRXw06D7NhNPcD5CMBJzld8Td3T5dXUqTJn+vLAW6HCI2U/XwJ8vyRt7XHY2UTZs9wlwE1LUg0kIwcbDmeqt65+7VkFztJ1nQyROr7i3//Ciive/JU1P4nXlwBRMg9V65C0KqlpDOU9q5qVVynmEwwby6R8nZ+KHQr3tYrLGEpSAva+O2o8z6mtzfszna54jJJOMBzoXMXH6WrT586GTq6Enir5Or3ScN7ADUlf4zZ2csw2DcXc3z//vcvFvtmBdizpq1EUxZJ+PY7jT0gaiuPvCOiel/R6vWZMusxu6+ylvlD/ZS2Koo/pYiZcUZTS07XLcan3ZtxEZjWAaVsCJ60/K7mc0If7uXxKwus0sUIB+RoIwG+EAPaPpxhTeAO4Ya0AHnqgm1//mcg/t6/pOL9H675Zv2Xl7fiZJM9H2MVai+E06YSX4Ho6fGNZDTmJAXloBRbLkDzg5Kp/VxHwtNWIy2oJkIe8veAulHvAWEeSAKarkYpr0X665HjWkL5vb8IPT68ueqB7PvLFSpLeWfiA9c3U/feTYYskQUyp04lT1jfYGsfrmxAUbgcZz1MJJqiua/rndiY9UBwGF7vfu+CkP0m6BzDa1RWfj92grSxJ+ZSvHaRvvF5MxH4tckLUuSXXgt3S54RrSWrEAdeUN7RizMS/fXITryEwx2kFDH+uk8NUZqseQBFpdHMH48a35XxOfQscbEPSmoR9XQUZy+kAEfvFeR//N/YAvyQQaH/6lL9/woNPRCwt2t/w57Ih47+pCRAnwvhK0nDTx/Rcx0n/brG05mDLDwp9wJmYgXcvSS/EbpZGeNqbUy4NKUm9IG6wJ+9zYhRgpJL0zKxv6PtLPiZv7Ob1/HTJP7c/9mc1FzmU8MScY4wlaaTHeVhNwJgvVvhAOZzzZ3V2xcfZEwEd7q2d/l0vLfg6t6OLn+mmgu+xi3WfU98uOWFfkrYnfUx+f8qhQ50QjFFALUlLNf/939/DpOt9jMaT9OYH2nfHcTwRRdGgpIejKLosBRfHcXwpCP9Lt0tB/CckKYqScbl6OTEjzvjX3NDHURXhv+7LuOY1nWAlxmmSC+KdPYzx3ghQuw2A0/uBJjO6SfVkDPDc58v8+48su/FAssszGH9jwPuemuVM344uDzRnQLczQh801sxOfg9Dp6vD//bEsvddCGSFyPThYM31iUOqITu6PKjuB0JNwG8HaVYDwAV4V931tl+ELKEkdQFxsAkKEzsS43j9NigJVOf9928vBrI68KrvB1v6b68wxnq85QHc+rxvAgtlDqCyoKVbAjWNHKjj3NLDmS5SYtnS7Zv6ywHThsyyB2CkbkScD0larnm2alu3Z4+7SMNc0snYA/VCCohrAdLvYOwY900QQEyL1wl6JytAUrsh73haOrhL0nGo3LQS/p6zARfBAgTgHRBsVFqMcR7N+kFtGqpEhSSvHRs7fUycKHn2sCPgjkLa7K+AXfcCHD7ot1/8Ln9PcyturBR18uHj1VVX8nl/2g24ruvh37Shca/1HV/2ZzK5GtAmh0znQ/1ejQyRMe8c8M/9fMk5O1vq7lUgSbt7/f2X6j7PSjCmBouc4Jtc8MrTB9b8U+sbKvI7ma/6bx0Bguf6PCdunp3zMUFKOI9P8x5/Qy/w6Dr8nn50iAPdBfLKgN90esWTCd11xtLfO+S/P6QjfqX2pgbacXzR5i+O46koij6rixjrC1EUjcRxPHkJGvL6iJ+Q9N2R49pLfRP6H1CT1/sfvfI3t4yYkU5cneGJJFGim0pAE6s84MZAEmc87WQ6kryTpAtAVtgCBgezgc0Ws68dfk9vtKl/vY13+yK2PfLNkhjJu7s5UhwAlMsSTIwKwHYkaWLVMxtdaf+dJ0ssR/W/H/tP1vex4Z+2vnrABCgnn4jIXA9YDpMV7UDWf+skk9S1t9fvi0ptp1uuhLMlZqLH0YQz2ldbnpWZbbEUXQayv6/JN9Cbqmz3vbvo7zSOfUkqBoLCkQ4/kRIc6fos3/83q5793x47zIVgCiHSKzXabAY6OIAg2TYqfO2b50B9Z+p+74RYoRZxCqdU9QzazswPWV9vACI2ARJjN+bHre8QBDqSdKzp2aqt8iQHVQhD0qLrMrAmVZ10emqVjX2WYw8gd/Z6NWcSiKSS9McLbiG/qctddQ9XeExVYEM6H/k835Fi2BqNn5drXjnanr7P+p5fcAlRSRrr8TmdAtJlHFhPt3e+w/qmaz4mhwJkxB4gso+AEcqTFX93knRz2knbw+AA+uQ075Ef3OB7z1/vv8/6qLot8d5JKlibVsetr6SACRCgZDrg5H97P7+TQ8s+p6nK0gmuppLUn/H77wAVsJWACMUC5LhWQTKRnp0kFSGZ9uSsQ7w6oToeklreVfQve26eScdXam8aGTKKokIUXbREi6KoIOlBSfslfV7S66vMRyS9rv31eUkfji62OyQtXoKYfEXSg1EU9V4iQT54qa/d2q3d2q3d2q3d2q3d2u1/2fZmZrSHJH32omqfUpL+MI7jL0dR9KykP4qi6CcknZL0um/pl3RR2u+oLsr7/TVJiuN4LoqifynpdaDhL75OjAy1TLJH64qXZxs3dPop5hhXL3Vjr5+MzkBWqguyxJI0BIfwZ5f9lrcnONN2ctlPjEeyYJgTgBnc1u/npylIYB0HkpXEUjfzIOV3dMk/dBDuU5I2QqaOiGMhIwsyDamDYU6pwWfHf7T+Z6yPTsCbAnjiQ4v+t4MNz6C8WA9Y7gKeZxqO5mSCI0mLYLj04qxf/5Zux6mFcOcvzXtW7KGsZ5pC+sDnIft+nRw6QFJYkjQJJK9Hyp5l3wl205K0DAThxZL3FZK8zG0C6MnJ5Enre7DgcJaJEmdAQIlPp0r+nkIa/oRbpz9dk2YidAEk5pKQ1TrVZA+A0bzj/tcByWq+ymvHHSkfP4/XHbrUI9ZnHoDs9VzCs9+VpqfvQsQzklEtJTzTFTKsObvoJkZ1qAgsBMiUDxb/nvURbG1Njicqvb/BikM66gGYQxL8FmogedgbOW57S59XMyQpSXK5Wa96NgH2I3FFqAT8gBOQZZWkm/p9nFM16+4crx2fLTnOOTfv5i4hONJ8ze8rA9nfCwEDtEVYPij7fTTh+95oADKaBNhVpeljYjjLa9eJFd97yG58GXDTkrQu589qEfbj/szVw0MJBvsb06zB/1D+bus7lvAq067Y17jbB0Lmgw4ZXQOSg39Re9MC7TiOj0syZlIcx7OSbEW7pDby8cBnfVLSJ6/2u1tqqRpfvpBCVUPVAHaEXu6BkmOltuaZ0fwK4FSXIi/JV5pM3iEd7sMQ6N0+wPefgwlPvynU+uD7qe9fH//X1tfbyTCFtYW/Yn1fWPwV6+vMjeP1P1hwZ8gzKz7gBzOMsV4AlQbCqG/u5Ek0VvDrDy/6Qz04/0d4/UDRYSr7Go6Fv7PFuq+vLfkBgPBjL8z5uw8J7H+41zH2gxC/7ZvjZ1KGkjZhlKnML0mHFv2Pr5NvjC/IIR6SNKhx65uP3DRjU4M321Uw6NiT8JIy3f/1HX6gkaRtwBF8DgwWNgSwqy0IFil4H4XxKElTAd7FG9t0i5nzm5o+f2ugEpANmWW1PIDdLYfj7OjhAzmck/T11fPW1w/rUYaiAkldoMW8b87L75+edhUgSVrf6wTvI3NuAkVkNEk6lnDDozu7nLQ7HdA3hp+q4Qy58PG7Jx38zoTvPcuxBxW9AdhYNzhGFgG6Qm6RktQR+/sn3PdgjpNZqw3/rcOQI9k3y/vBB4q+9s1B4mNPP4/TKYBtEhlwtRFwd4H2wpzDwYgzMw0HT0mK4aBVgMUrxG3qhGjwNBgjTYBRmSS9a8T/eAT4LTNVfiaPT9P79797Txfj3knze9OKr2cFMLYhiIskfeW8B+B7eznJcKV2TTpD9iQ69QOFy00yToFk3kCWfz6ZG97R5xjrbQH27PGSf+5G+QYeJv75DZCUYF+aswUxfO6GvC8iy3Ue8HQAIdWLd/b8I+sbzDL29MiiP/8MqASErJ2vA/LILGC8R3L8TKh6QXt9iF5ZgWcyW/PMwAPFn8XrD8PJenfKN/AuwD1L0pElDwo3Q/a9Fx7/GWCOS4wR74Ysf5FOqWIy4xkgky7U+DeRW+tuMDF6ZY6rDGPgzjcnxxgvgIOkJE1FJ62vs+5B4RBk77b3XD3qbhgOeaGDL4mRnAM4NvArJUkrkL1dAWnThgI0e2hn6p5k2JlnKbu9GU4evLEF4myNwqsudHhFgVbO0CE5A5voRNbfSRbUmiTOvpKt+QC4ckpSZ9M36wKoyxwKgE9JmpQCqOdKfiCRpLGEv6u5qmdKax1+SCo32W+6OwVKOrG/e3LQlKSOGFxZIw/UKg3Gw3615KTf2zv9nvYO8NpDuPUkKGMNZHiiTqz6848go/zqPM+ztwz5BMgCj4wkSEObVATyfKfK/kyX6rxHn4F1Zi1QnkCp99Jt+UPtBGWwUHvnqK9TJ1b8XmerHDdRkqgMlafdfZ4gHQuoyxwDjPip1e89bL4mA+1M0t17Di/7A19HRzixc1EGTnHpwCmIFC4oeT65Gsqok4uk/10DTouSlIp80JAeZciyd7rsCz5J4uwo+sieCxA0T9fcyayY9RLY+UXWbaWs4j3Drif64gwHAFRVpqDyeImDyuNLvmAsgS38xowfyCTpEERWI1CSD2mrz8PiQsEaLYJnVlmyLQlqBETcC7l9frHs72qXvCwH4jKSpDkoa27pAuJgIIBJwW65u+WB8jdqro8rSbs6/KBzIPLs+V2Z+6wvNHeOLYG6TdnH/miaA4jvGwGYR8n7ZgIqfK/EDl84suDZ15t7fgKvn0y6GsVi02XjCqvswnhDj+/Mzy94oF5vsTwgSZ6Sas3xZf+7UFaKSvp/tPjn1re24LAVSarBPO8Ha/LhiOf+LGSKSSFhvIvnPiU+JkBN43TsqheS1Nvykvrd4Jh4Rl4NOlJnxZ+BDoeI7Ztzw+adve+3Pkk61XI40Xa5g2w/JAMkKVv2E9l/Pvsvre/f7HC5TUnqS5MaBRDWAzCByTLI+837e8oFoIB00MIEW8v3yAtJlreLYiBT5n2dOQhzR5JKlGEMJAOpffW8z/1NcPg9HyD9Xt/tiasToEFPqmyStCbtG829vV6RoQrR6VV+T/Trf+X8I3wDV2j/M5wh263d2q3d2q3d2q3d2q3d/n/XrsmMdix3vnpk+dfs79ak/wFeXwLDmkfKXvr/25ldeP1xILrsKIKUG8jwSdLuPi8rkRTaC/Ncf91d9M+tg2xeF9X+JR1Z8u/KpTz7mSITnoBkIeHvxiIno9W7WN+OPrUBZZ1Qe3rZcW2nSp6Bup6wF5KeaHj2doP8/c8DnESSGvIUZC9AMk6WOFW5t98zOKdKgOeF7Ndm0OENNcqIDwccUD+U9QzUr0z8lvVt6eLsaS+QYkjeMZQpfDk+aH2bY4do9WbG8fp1SS8hjsT+mwj2RFUnSZpuePZyT9G/Z5GA12LdWMIYH1vmcbbQ8GzX23t8nXu+6fwASVpYcjLvPV2ubxwiY/7ZsrtQbo08+xmS4psF0vVKw+cJTdNmzJ9JeN6PrXHi2+/NcTWt0vKKxGLSq2k1cCaUpLd0jVvfMmQP1/AjFaBcNFf1Ofl96QCZE3TE65D9nE84HCOdZLnUBFRTu8HVdrLGkof3Z9wchpxiiRwsSQnYEe4D0umBBZ5nbxv2539Hv//tC/McIt3S5wvl003/2y3dvEdBgZShI7AeHp37nPVJUirl6+RM5JWnbQHc2Zqsv1Na52jfkdgD4uV5/0xa9yXpD0/Q3/p3bevi7++DjPZK3d8JLDE6vsz77nvX+5j8xcJ9+Lc/ufBN7Jeu0UB7pR7rqanLR/KPDvxD+7svld0aWJI+mnemNZG0QlghUgkgUkGIJd8PgysLZgZrsgGWfdNvgAKYEPTl2zWfyB/Iu27sIrgmDcBklaQc4NY3ga362irbbZdgszy06DN7LMcTZk/e8YOEuz5EdHBJD2S9/Pp4zRUyTrXYHmpbfLP15b4HJRuCHh0GgwbS131P/wb8zKdnvCS+p9eDciKdStIuwM3/aJ8b5owwoVujoFv76pJ/5hkx+acQ+8ZSBKLLzoYTzyTGvh6pO8719pyrKVDwI0kjLQ+qKYBqBmBfk1BWvWPAN5DPLnEA8668m9PM13xX74l4TOS7wbQFxh5hhCVpe8MPOgU4KIQaHRQpcXFrv/ctQIJEkjYVfE63INAcjTfj9TNJx/2Tg+bZgOLQCyWfAB8ao5I2r8evLQEXBYxEpgNwoq66D8A8KPHsr7vb5ShY1UvSQuxB+WBmh/XN112vW2LSNLnwpQIEz7v7XVt/Hq6PA3tsBaCUGwv+AFebfPrpT/uYWl/wZxqKEcgD47GGQxLWR+7WuLbnPr4nmNNFIH3s6eGB8pkzfqrZ0+Nrz5+e5z2uAwi2mwAKeDBw+CHY5G/POBypVHfzN0n6sY3+XaGg/o0tHSB47ux23sJnzjLs7Urtmgy004lIawuXb7hfXvFMy/dnWeGBsiUbgCUdEqOnTO/RJR/c/Rk+WeYhqKZszVNTDH79vhHfRChTSadqSRrOeqZ2GQDBgxBtnFoOGL7Awk5kvCVwTJOkVcDEPjblQdUPreUfRQm0MxU//bwau4W0JN3YdBOfDfFG6zsMsmGStB5MM+g3PQAYXUl6fMqfPz2prQknBD0xzfe0NucBwJ8tOMb3hpRnJCXmDdDCtqOLDy8UWCTBcZAUCiTprqIHKyOQvJ8CGUFJmqn4Mx2PHHtLLnzbu7lKQPEnQW+/tsQugjMVByD+2EafUx/qu4Wvhw28BiS7mnhM7I3cda4uv/7QCt//mpRnQJuwTtIhV+KKwChUHro7/J4mADcrSaM5f3+09m7NsDNkbxWMkSD7mM/5YVqS+mCdJB7QHOC2JWkMDqoTwO+ZC0guPtX8svW9r+AZ5WzTA4g1AdWRWtKf6VLTD6kLq664IkmVpPMjlhpgYCWeZ6TMtR6S76/McVBHUnbN2IPq5/zsIUnq6fDx0wNj8lSA8zMOOOMfbvkzOQ/k8o4mG4D1CuZe4KBB7Z5Bf1ad4IJI667Eay8lJEKO3HNwKPmJNW7sFBA80hF41lNl/02U4Npe5D1mEeQd3z7EVfd/d4LvS2pjtNut3dqt3dqt3dqt3dqt3d6Udk1mtKmRyPuxFh9Xu1e8BPLYqlu5vrfPS2WSdGjBFU7Wd/pp+ewKS/+sNj2rd67s2dubB/hk+Cokm+hkSUoaktQR+/dTVoqyd/XACboGGp+kUPJMizWTRxp3WF8BUBazNT6ZdoOU3NmkH0GbdX4nT9e/YH2b047nPbvIGfHE4G3WdyMIpOzsZmvt1aanQPbPg5YupO5HEzzNCf/Yn3Wc5WxA3/e3Zp6yvp8Z9vcUgO1rAfBz1EYSjNGmgtJS3b8sBPMgmAJhh/tTkL0K2Aj/xszXre+jScfO9oFdtcRVonrLsyqkpCFJf7rkahoEJ+lu+tiVpErTv6sHfn8DFQo4g0YQndOrPM5JjotUkMgECSr3kqQW4HlJMnGxxhnhoazPszIo5uSolCmGfb0KGvKPlU7i9X9jdNz6puCZLDd5PZ9bdpjRyaRD9NbK97N0xFC2dOzpy6nFp62vB8yeJGkRDHO25nye03OWWCFjAKpp1YCJz1HwpXhm1qvOt/SxxMVLCz7YNndChS6Qyjy4ANbkDapa+m9qRlw1XgFzoP31l6zvzpJXrSSWPDxXgbEfUFwKyNhbC63HU/Cx9PYqgbWH5vmWbu+j30nVCEn6/RO+9t07jH96xXZNBtqVVkvH3gBuH+rwskoqwZMoAlzYjmiT9YWgI70ZcGiCwdkTwOOSkQoFpaRxKTFM4lMLHhTdqL14/a6kQyLyIFM0W/VpQBu1JB3QAeubKPuBZjj25yyxtnkPPL7AK1ER/va+rEvBLSW4LEcuhGnQXU10/yhevwCbeCfAaaqAr5ekDXkvqx5c9EVgEZgeA4GV7Tg4kI7Cark5AElb23SizVHA02YD2uBTgEemRfCA/JArSceWPVidjU9a3/dn78frlxv+To5ELme2N3J+RmicjcdkROLPeVM3P5OzgIevtfw5TXKcikE1rQfngCAnSauRf/DutHMp+sQstTLoeG8A7MytAQ+DyVVf1EhKkSSnA/xSTVf8XjMw0KZb/ExGkn4ifrzmRNz+Ortdrk85npgCwPuBNClJC4C8Ir30esxrL2F6T0duWDTUctjZfOREUElqRj53SMc5lWToRzdIi5KxTsiXgdaJV+f994cw3jtg80jAoaITZPgk6SzMv33z/l1TAW3TAcAjH1n18TcF/IB0xM90NXI42MaWH3R+dfI1vP5nx/ygRdyyl0tszL2z6NCrfpBHnK7xfnQUSOcjeX9OxE+QpGEwqztc8ne6t8fHWchROgtxzx+cYtjdldo1GWhnkwlte4PGM22McICUJB0DTOZXFv5P6/upPGt0kmvZkwuePR9Msof6oUUfnKRlTLbykjQJGqvvLHimMYQbOrviK/swDPjz8D0dsNhKUgNO2wOxb2A5EP2XpMlVv6cfHwcb5EBGuxn75+7q8YXx8BJ//z7AGm4H8lSfOPtK7fFp//6eDGc6d3bDoQYCkKcbrqW7tOjEJUm6PnKC505QyFgGIqok7QczBsrAhAiepGdKagwPFVjdZx4Oek83fAe8UGHyz/7ItXxvAQtwWiaqgUi7O/L3F1pnqO3pAyUa2Oze6BPwensVeErny/6enq38KV4fwaqwMfnj1re7j+dJscPvfzjrG2ixgwOQXXCoK4HqyLemfUy9bYi5APmkr1N0+OiBdydJJ1d8/GTgb0OVlxIc6N691gPI6YCHEKk89ADJLRtQYXpiwflJuwsf9e9JuIb6gflP4WeSW2Y27YF6CjgXEgfQRVARCB2eZiCAXQ++GAERKbQLf3bOv//mEX4pz0z7s6YD5dY0r32vwelpR8HX3jJ4IJDRlsTGShNNz2h/oOu9eP1J0Kz+tTO/aH3/ajvHPU9OQzUM3un+EpMpt+T892+AXGhfQNt8MOuB9vEVSGaBMMSBpVDS05//u0d58X2UaSuSrtFAe6lZ0VeXLg+M3lF0NjwRFCVpGzjuPdv07CcF5JJ0fdGvJye1/zb323j9QwVn1TZiX3FqMGAkqR9k4yYgUF2TvXp7WDJNKIJd5Dxp50i6OXKiUAekJeYC0I2NBd/YMkkPqvoyfP2zrsald455UF4ISB5ubnmWn0hitZjLt12QLaHNnpj3kvTpU/67bh/wZzJe9nGeTDgcRJJeiZ+wvjvrD1jfy3M8zsfyvotNrPp9ToARhCTdPej9Q0Dyf5nXZcxIV2LPwM2KM5U3yQmFVP6nw8MhSjOKM4VddT+QVUH1QJK6IVCdhSG9rZvHyedKbk5zf8ZJ31vynOVvwZiea/g6uVTnauD2Ln8nlC1qgjOgJG0o+Fjrzfiz7oFqTqjKkE/BOIH1jAjbknSq6Uo+++f/wPqKxb+D198/4Gv/hrw/0xWADEpSJ6xJcwDnoqBGkgYKXqUrx/5Mck3vnNYAACAASURBVECmo4Bakory+nkp7WTIXMKz+RK/KyIIBitHgBM6B8vURKDy0w24xzv6r66aJLHgwEFI/s8GTgobwS+cKl85IGieXngYPzOT9neyteCwtVLgnnphP6egegwOKZL0p3U3PJpu+Hq4TR5LSVIB1t5JeKehd7Kz2/feLFRUnpzxZx8FbOn/tm+nOsjbyRVbmwzZbu3Wbu3Wbu3Wbu3Wbu32JrRrMqOdjzK6seNyrG8PIApuAhMQiTGB5Zqn1R5pfhKvL6bc4GEUTuAPFj6E15dafjJrQkb7REBKjzBMhPteIQ9vMXmJMuKDWX+oL8WOxZakm5PXWx/hRFsk2itpsebZniqUSpMBLdpeKOGRnFYI05cBOa8qkNR6AphEwq5PgkRX4OtVATOM2ap/V12eqQoZeXQmXabpwLx/TyJwU2ehrLkBzHFInkySzlf8c/vS/kymKpw9nmk6pmKrXHf2WSCyStJwxkuor9bdbvyGtOtoP9HkrNLb0k4ym6n7c9rWxRnhMytXRybMBsb5fWCtTbCz4RbjiWn+dSV9npNVusSl2menfT3rhuyZJN0/5IOlABJjg6DBPgGEcUnqS/v3H1jwVNkWqGRKUkfFn1XU85PWtzHtpW+JreHPVfxeb+9j7GckHyt5yP4dDFRZ7kg68fWJBphrwJAaAG6SJFUAD7y46prZG7pZhnKy4s+/e9kz6qFM4Gao3lOFkKQ5Jen6omeK6T19EyRkJWlvr48/mhOtQIWU2kTF0+9JXb0pW7XmFYV1eeBXBLwu5gCKt7fX95PZGoeNe8AX48gqQOkQjCc9XXKI466sZ+mv52mmyTLpxfs77YbKT4jwPwTSoAQ9+YvaNRlol+O6DtYvJxFsabnqSC7A3H9sZsH67sl90PoWA1q0rzSPWd9aefk+GQhgxvO+4JOL4yuLXBfb0OkLVheUpJfrHKhTsHkqBoy5fGKFGqmWvBa7E9uaJGs2j8lX1p6s19TPLHMAc8uAT64T8PpaAdUUcussQ/n5dImfaQ2C8q9XPo1/S+09XU6yXISFkQKloRQ/k1ZjvfXlIAB6reHBpyT1xl4WfqHk5jKDWQ7qyDDpDAzpfJI3myn5fe1NOvnn/gRjEr/d+JL1bUo6l4EC1TuSDrEJtZ6UHxKnQB9Xkq6DjACVlEOHJ3r/WZA+SEbMZXi8+Q3r29x02FetxdcfnfNxTqYZS3XGaB9a9s8lc58Hh30DvFDheyIlorsGPYB6YoqDsu0ABRyKPQA4GXDrnK3692+Aw+dKg7fjUcC4Pzvj75/WGEkayXkAch2oOE0nAF8XaItND4qGum60vvMxE5m3dtxjfV9bAadXgOxJ0s6iz6l5EAwgAy9Jmqv52rd/wdcZ4CxKko6DDjfFE0TalZhH1QfuyzMNH5OjPf7sJKkE0I0zkZMpdwYOT9sA5dMLbot0SJSkBMAv7l/jHxrS0E9Evsf/0bzzaHbVbsLrP+emuLprEBKMkEjtB08PSbpQ9rkf4pdcqV2TgXYh0aFbcmOX9b0A0j3X9TAmLgubEG1gW9JscHAQnNhIoYM2cIkl2gYBu7q1yalCOtmT6kVIzD4Fgc2WDg+W6ATfEzA4yAHzbbTlWe7Dqy6PJkl7i45zTcLEDuG3yKFrABw4VwLEvyUg6YGWvQ43fGGTpGm5lOBHB5xkBpxTSdJTc374WwcmOL0JHxOhKgGZi5C8XLnEekZZwDnWWz5QQwvrDsDz/t4UGDSAuoskPdjpJMlXl7xKcnMvk1eOL3r2+2TzeesbrDvOcWMXO8ZNA0mrG5wRv1LxgFaSbu94m/XlQR9xIWQ2lfNNcAEwmctN5jLskmc/afxkAhbqNPu+VPbs/06xxNhize+fbKCzQHAMZZo2FPy3HgU1gt40B+qd8PzPrfozPSp2QXx7lycP1gFG+8lZXs+B46fpmmcJ9rV4TN1fewf2X007EliP1xX8/U1XXc2iCVhwSSpB5e1cbZ/1DXZwMmcKqnn3D/mYOHMSNFTFzpC0H86A4YkkHVy8Os5MSHJyXaevaa/Me1BdiXychAimIxnHPk/UnAzZCCh7DWX8nRxehsx/AM+8BVwgSe736BKfPjYCmXRz7AnKUIL0w5v8+8nAi9au0RwvqP/ysAPvf2Yj8w6u1K7JQDuOXXrvK8u/aX+3vvBxvH4mcvmal5ecpf83hn8Grx+q+eSeKPskokyXxBbuJG93pMQZ7SQw4hea/v2hEs6hyDOFNyVc+oeqx+PJAfxMWsQ2Rb6Ink3z9Zu6fWFaqftmeWCJN0vKnlL8lw1MYoJ5kJpFMjCl7ki6FB6dc/r59jWa9mDxTNWDyi6QzVpp8mZ3LvIMyMqyH6j6AwEIlf9JCSUdCMooK0vZw1NkayqpF7SsKagOxPkqyTN4O6O3WN/pyLN36wKZtnlwt5uCylE2wfXP/fM+J98CWZlfO8tB3abIlR8qkOl8NXLNY0laJz+89EM1KaTjfaHm68x7ux60vnJAioUQJaREQzraywGJrnkI3n/9gmfKdkd+8Jek8+A4+TgElXtTLgMpSfv9jKxd8PpD4/Sr53ydGcv6Gj9V4/s/1nJIwXqAjS3BIbkzw4fsfoAexRl/p2dXnsXrp+QPpdDBaz+1STjokI72h8f58HIUqpnka1AJyK0+O+NrIjnwFgLSpsfBwn5rcsz6pkAbfTAex88cjF31Jt3h62mIcB8D6XsdyMo+PctJhj5IXB0FvXAKqCVpGOBgD474+7uljyUnU5FfT7HQmVV/J11AmJakHx52CeKVgLb7lVqbDNlu7dZu7dZu7dZu7dZu7fYmtGsyoz3bmNTvnP/ly/p29TrxMJQRLiX8tH1d93usj0hKktSfAZJgzWVuWg0+wQ+0HFNLEl839/Fp/YvzJ62vkvTT9nDTSV6hfqrKLgGZcjWQPe3JePaeZNNGY5b+Gcv5d51f9dN6P2RVJOkcZKWOLIJhS4HPnn2QLZkCMt/p2HWsJemBomf1cpC9C2np9oJkY7nh7z+d8PtPB4hrmbpnP1tQFvx2nbNSHwBt9n3LXg3aAUYGEmdFx8GEqRWQgjsFePhSgHeA14NM1taiZ3QHWp7VOFBi0VSC40wCzjIndgFaDyXlFDjBfWhwHK9/bsbn3zIQaWstEOeWtL/uzpK3Zn7I+qYrTBwkJz1QMlNXwEVxEYoXOYCynQPi0/XdjLE+WvK/fX+v4zyJCCxJj5cdZ7xVXn5fqAfIiIP+rKiaE3LM2wwwpclVf8/Xpzbg9Z+e/lfWt2PNP7W+bnCfDXFmyvJn3QRp094cV37I8OaBtMOmiLgmMXb6FAzpm3p4PdhV9LX/1Kp/6MZCAI874H/7yry/55Nl1oL7wNC49X3tgv/t4fpj1rcTnpPEhP2+psMcDpXZcGbtgscjDwz5hrSpk5/pmVUwLIIYiUy5JCkJEMGtnf78s0l+J2kgTSfLvsd88pxX7D84xLEQyQv++SSvnVdq12Sg3Z0c1p1dH72sLwPs3YC3isaavmClIPlfCqh2HKk6cfDGjJMvvrDy3/H6TMkxdRtBzSFUjnhrYdz6SPM7cE5AAsX1YI/7pRV3m9wYs+VuJumbxdfKHsCdXvSFRZKS637W+gpQ7rm1nyfB753wuuBA7uoNElagfJ2FACAOBHoUVD847CWwc0C+kKTjKx6tFMAa+xBgB9d2MkTpcM2JQps7PKgEOKUk1rgtJXyzmKtxoN1f9+dPgRZZcEvSZM0PyqcSHhT1xYzzvLn4E9ZHsLFtgBP9yqrrVUvSuoSrLKyLvPy+PsXmJl3gRLcAzyl0ICPNa8JY70i4WZEkvRS5QsvmvB8KNjG/FiFaawH/mIdNUZLqcKI/tRpwHXlDW9fFQc3JFb8+B4fPVVB7kqR39DhOlAhVS4HFgzCtNHdu7uWDwjCoOx0GFaUXZjlx9BbQ9z5d87XnABBh70m+Gz/zbMthV92Rrx0nFpxwLEl39L3V+kYgybE2oFhEW+85+PnPzQUUMnp9/A1BkuY0BN8SE1RngGAzD1hyiZ0lKfHUn/EDXb7Fn3m+6e80BjjFngIn+L486/v+A0MOG9tYYP+R0+DqulgFzkrg8HQB8fD+TOsAkZGkm3o9+TFR9rmzJ+MQnSNLDKd5z1o/PD+1yL//Su2aDLQjuUMh2dNuLPCA/daiLw7bE74wHAbXIEnqA/YsYRJvSDrJSpKWYiDKrHjwfkPGM5KSdA6ww0cidwcj0wFJmoudvltremaiUx5AnUm4hbUkrau6NXWv/P6Huz+C15eBvJKCTT0XYAQPw6s+vOjXbyvy6eNkyfs3g432uXmWs1qEZFcB7nVNiyMoMv04A8x3IvgGXIC1KeULLplebApgP48veWBCsl+H6MeLlSuIpR/KFB6Qq9YMyjNwSwnO4NCBug8OhK82HA99f8YrXBIHtfvkhKR8gwk1Q2A4RIpDJEUmsXLBoZY7/mXACEOSch1+IO0GLHyIy7C104PFTBIqX+D2KEndHT6mdhV9AB9c8ghsBipckrSty6OactODght6oJwixogPwSGdHCQl6eFzvs0Ob4LsXZEPClOg8tAPeFiS1pSkJmCvj6z4PN2V9EzpkZi5AEkw4FqQ444pyJeY33EecNf9gaCM5B1PlfxvX1vmw8cmkHIkMuDLC/z9GwtgGASVmxxYeEscD4yCK3C96rj/iSS/k6NznriLYT26sZOdHe8uUjzgiat0gg/JO7p87kYQYoYUk9CttcPvP0TGfG7OiQ/fOO/P+UDD4xty1ZSkd7Q8yfIPNnOg/z7n0X/X57dbu7Vbu7Vbu7Vbu7Vbu7Xb/+vtmsxoV1XXyTdo7G5NuI72SoD5fmvSTSdIoeHmDGPijpQd4z3R8mzFYMQlnDVgELHS9KxESAd7A+hw5yuucfpy/Apev1T1DNgBUGjYlfIs9+kG+2V/qfx568smPat3Y0D2a00GdEdBTP7CCtcapyDZ1AO465B0EJX16Fy+NcMwiSIIdxxa9MrHQp0zIJQF2LfopbKbe/xUT3rfknSs4ZrXY00fk3nIXklsrJSNCKPLywxBxzcCJOHJFdbC3STH2b5Q+oz1decYf5dN+petSznEa3fL5/mjdTD8kLQl3mt9Z0qeeb+x6314/QWAyZShmnF9D2eFngEZ08n4VevrTnI1bKnsXJIOGNIzIJcpSd0AZ5qDMX1oka/fXvSxelOPZ1+PQfayL81Z+uGsP5PTqyCZGFBjeKbi0pz3JLykPwZ61ZJ075DvMytQZTod8AAYyPg8e2nB51Q+gPGeBGnZGBSnlhIOPTi28ih+ZrMFECWoxu0puga7xGZpi02vXDXmGDZ077C//wIsUx2BXOIJqFAeXfYPOLTIcJ5R2GNXoer6QtO1wSVprxxi+Xj9CetLJPyeTs+xWVY/6JhvBV+AkFHdW9f4+O+EClMDdO0lqYcqtMAtAlsASdK3L0A1q9fXk2QA80vSvEngt9Qif6cPFhjy+uK8f+ad/W3oiKSLi0g1urxkNN+EhQHcBiWpp8NfbjWAM6VWjHwSVmIgREX8+E80PQDqk5cryIRGkpZhIpGZwcTKc3h9X941q1+pftn67iq6DnSqzLqlz885AeGOzoes70jiKF7fBOx3Hjag83NckidFngHYF0OOezOwOhDJ8GDV350kral5We6/HvN3UhfjRK8vgkYr6KmSiVEmoEM9HQFBFzbgW/KOaZMYJ3kCsJ9Z0CGWpFPLvjAPA8upGQCJz4PBxmDhOutbrLHhznLS39VM1WXLyDHwvVkmJB1c8qDw7s6PWt8QkCYlaQAYcQEuK7YqjJ91SYdtVYHMJkkbu+6zvgkgL40M8Jj6jA8p/cnsL1nfpl7G/s5WXdu8GfuB9MYeHxOLgUNqHTCtNPZIr1uSelu+pn2+9C3re2+3wwslaW3OA1DyAPjiJI+Jtwx4AEoQq6NLHADkkz6nZhMORWzC2KnVPMEkScM9rrc+ufC49c23GLoxqZPWd1/OA8UQj+gAHNQIHlgPSNgSnO70ir+nOjgyS9JvnT9kfRtjP5DflHJZXEnaBBJ3HSWXFj1a8/eUAcKxJJ1a9ud/odMn5HUJTvANgQFcCxI8iYAvQx44U31gVhWCvW3ZBBK6VR/o2wEKJkmrYPhUgbnfU/ZYYn2Ac/LFc76fbSjwPL1SuyYD7UiRUm9QKjiZ8JPlYs0zt5J0S8oDwHVZf7hny/zCSR97qOmL9Sm5vqkkXQA3raw8M1Bv8UGh3iKsm/9tXOIAZgdklY9nPStGS9DxGuNh39f3t6xvvuYbSG/A8OZCFU7GVT/tk92yJG0DHe4CYEeJeCZJQ2BrfxhIEcMRB/oZiJaITLkMZDZJ+sOFb1vfeOQbU3fs4/S1hG8KknQzjKnOwOGNWg3G2YXKAetL5z14kqQNsNmAmAKqfkiMR16Wb3bPJ32zkqR1Lcc/dnX4mHoFTHCu62ITHMJolyPfwDo7WHWkCtWHP1r8Y+v7+dz78fqNGa9oHARt6/NNn8+SdEPCeSO9BR8TJ9kUVxMNr7IMF11DfrzlWHRJerbh63TvkivBbBrxDfjL53jsjuT9nRLOFJJvkqSnW26kcm7BSduNTg60F+s+zjd0+t4RIv6dXPHEDwWgHaA4JEkLDR9/u9M+Tw6AA+z1ve5IK0knK16l6cr7O11NMDl9fYvVTN7YRmHdlaSnZ/z5xbEHVXcOcFA0BZbbm7p8j8wkeY/tL/n9F0BJpzNgwT6c8+8/C4+qCmtHNxz8JOn+woet75C8ah06vCzBQfVoydepuRp/AGWUr+8OOGtBI37G9l5HB/T2cNx1btrvtb/k728AXmlvBx+ofgQi8M+cbme0JUmV5rxem798c7qj+Lft7xbFgXYNZIpWGr5YH03wZrWh4Sz10bS/sNUaB2V5KInvLHhG+9EKQz/e2emBDW3gQ/B3kpSBYbGt5bJ7YAyoMpRlJHbBfLT8KetbW7gVr0/IA/BX5vyZjOZ4EpATWARlRSr/SVI3LJjfrHoAdHfmr+L1tLiNd/qYGmwy0SKx7IefEhBV6pD9vTvNkoknyx4tjeQ9gAwosakEa+j29H3WF3KGHARCGak5hCo/BSAaHWs5cz4FbpkSB8XLDf9RRLrMlTioenTxV6zvgaIr5hxZZXnADRnfLD4+9AHr2z/Ph+QRwA98dtnd/TZkvaQsScuxHyo6Ej4maD5I0jOl37c+yugTFEuStkIAdqrkwQY5wI538UAdADWJKhiRTAVcAGstmCc9nn0MOe0+OeuB8g0DnpDY3slr175FP1BS8j1kwX5d0YPNMsyzwbpnOldjJmenoSKzUnWI16v1P8PrHyj8Net7uezZ89+bdqM4Sfq5DU6yPA5VirEAnmY9xN+fmHrG+n55nKEv13eTOo73kSyvJL0468//eMXXhE553PCtxf+En/nu3n9sfSkwMAsdXs4D6XZbl4/JoTwHut+64AcAgo2V4DlJ0iJU88a6fO6tQPAsSTFk35ch+Cd+7UzM4+TxCz6miEgrSeDB9J3WJkO2W7u1W7u1W7u1W7u1W7u9Ce2azGh3JDu1puvyzOjeLsdYb6yyRNdE1U9RTzWdqHBL5CVRSfry6m9Z383yUm9IUmZ7DiS2IIO0doXNAAgSC7rt6gZ9X0lqQWbmjXKJoRbE04I19UOFH7O+1RZf35v2bA1pS28PSGQ9N+PZqnVgDkIlPUn680nHaj2Q80zjTJNLpbOgp7pU899E5UdJKkX+uZtTnuWfqXsGIlQqXIXqw0LNs79UjZCk/U0niV2X9DFJUmgSZ68JO0sYaUk6vAymGWCEkUkwAO/x+V+1vlt6ftL6vi/tcAqyGpekNd0u7/j1pf/L+t5R/Pt4/WN1z6r9dMazz6/Oc/ZysebPejDruPVioPw8k/SKQLMFxkYBu/B3dXvlkCoPyYgHJcGRCM60CJJ7JC928bv8b//zxEnr25NygqMkVeqeqroRKjfTFV67bgc8O2Xf6gHZs3U5/1yqsO7u5XlCeG7il+QToAPdYrvrHjDHmVv2CmtvJ0uDfqvmUnQf7PH19CNjP4XXD2X9Xf/7iT+wvmbse4zElZ+fX+vVVFiOJEnbu3z+Lzf8+S8GYBYjkFXOprzCTWvv81UnbEtSqeV77J1Zh12F5u4+0DEYBQMIZ7FcbEeXyZzGH+CRJkNm39XnghXLZ/3bBiAWkKRuIGMeAlO6HOyxc4G5+9CY/22IyyFXDfxOuyYD7YFUl/56/32X9Z0Djc5aoKTdlfBySxac3EKbxfcVPmp9hSRgP+MjeP11CYcPzAJzPKQGQSVQcmhKgImPJJ0AQmJfy4Py82AksUms8JCDzXIJ9JELQNyRpAwQKN4xynhwao/WnCjyUx1e/j9f5nd6zxp//wfmfbEnMqEknVvx30oaq79xzoljknRzj5urUCMyHJVkJemWTn+nk6t+n6EyPwUmDwNpdovehdfTp9Ia9ifLj+D1w5FjrIdbvjDvX/QNWJI6Uh5s0uG3D0qaITjKt+ecfPShNT9nfc/Xee4TRIvIkCF93kMrXn5eD9riB2JPHEhSV+xjgg5EAeEAzYLj5N4ef84hdZ9lKDW/Mu/19+NQPr6tjzfLuZqvKbth7O4HfV1JekvmvdaXhNHbHVDXWagD7GzSeQd3DTGX4PELniTqSfvzC6VCXprzvyWYy1jeIS7PlJxzIUmT876ejve6WldoPbxRrs5zoexrV7MH5JokpROhEXh5qxELXtISHEipPcevRJsK/k5bMCZCsLs52M9JxIBijFSSD1STSYfCbkk6GZNiIUnKQYauB3DT8xWGbgyCuEALQsxb8xwjRADl29XtMJX9oKEvSQ9P+sOuwPuvA8TqQp0TZJWm7/trQG/9L2rXZKAdyZmtJBAfwtR9Yf7fWt+eXjdSySZ5FrUggCVCSleAOLd/xQPI5YRvoNuSfgKUpFNVz0KMph1nOQKbqiTFEO2MZH1y0yIwEbsShCRla349ET1GA5m2JkgKkQV7aAEekiupkGrGYkDiqxvW+283HrW+hQqbCXxk4K9b38OrbmTS18V4ajJdyadcTP/ZRce9v6OLg3TCqmWAUFVqBAKYpi+Cb0251fy+Oc7+DmZ9wX4eiGdj8oysJK3KqxfZhAcwJHslSbPL/vyrkVcEaJmg9USSbs175aov6890fY2zUjSnpiveR4dUSVpIePa1r+XrzF0pNst6pOLyiAlSg8Crpfev9e/qg0xTKEwahc06Aeo6S5DRXgXctSQtgjziyw0nCO+IOKO9GoPCCahIbe5geb8+IFrt7vU1erLExL21OX/Xfzbh3zUUgI4SyZOy3DOQ1QvNvVLeFXumyk5k7QYXvov9Hnr8/tQvW19f5p/h9T1wqNmVdUflQC5Mx1YhUz/jQVWQjDnnD3sQTITmAhjtrYDxngHC/8vzPs6uD8zdJgSQJ1d8jd7SxeOsF4ypSEkkETCMuXfQnympltSBXyFJ35z2+yIuRkgZrAxB9cYuf6Z/OO+O1pvElZcXIJe3t+97D5uvyUC70ox1dOnyh062n3++wDbK7+j5h9a3L/aS7kKd1RAacDJ7seVZubekPAMgSa9EXoLLAikiD6oVktQX+4nv5YZnqcndSxKmGjcCJIAgCUPiQPmbNScOrs15mb3actUESZqueqS7oeALS2cHByC7sx6Ukt1zb8Dteb4KGSR4fiN5DuqoovCuTie9dnZ4pkeSPjHtOuTlpMsUUTVlosWZ/0LFx28EOxOpo0hSBsYZtW6Qy5SktaBm8cMZJx/9t0XOaO9s3WZ9dbAcXq4w6ZlUEjpiv9dVyOi+2jqGn7k14fOErqeMqCQN53wAToO05K4ATODUgmegjkR+oNjQ9JKyJFVATuzFVYeTfGiUdbiLKb/X8xBAkEKBJI2A49/2Lt/sP3EcCIo5XjugIKGsfFMPwb6mAE5TbHmWeSFgwT4K8n4roETy3DzPJ7IGP1byAOxYQAnmEOwnd3f42jtR94PrbIKlMevwrCpVd4bck2EZR1oPCbYVygi/suj/YSzhh7yVJicJNuagQln2JNGGTt7jv3bBE19vG/TxVwkcyAsQeZ0CbW+SGm7BIVOSjkV+eBxJeAA5Fli21+V8P600ffJ0BJJZ3Rnfe1dqvkcWIEsuSe9d70mOw4v+nt46zMm8TMLn5CqgFt7XcijeSOCQ+vyMP5PlgKvtlVqbDNlu7dZu7dZu7dZu7dZu7fYmtKvKaEdR9FZJT8Rx3Pyuvr1xHL9wFdcmJT0naSKO43dHUbRR0qck9Ut6XtKPx3Fci6IoI+l3Jd0saVbSB+I4PnnpM/6JpJ+Q1JT0M3Ecf+VK3xlLqr6hjEAC9X1phxNIUhLOH12RE89WwclKYoz33qSXe1bBWU8SHn/GWo5rChmBnKh6tuFExXWYb8r+EF7/TOl3rG936u9a39maZ0CSAdz37ekftr5H5v6D9e1d80/x+sNQ6fvBDf7982U+mt4BiYlXF/y0uxOc6SRpHpzw9sgzqvMxp5WWINv1wIh/V+CV6r0VzwwVgCA7AAL9/VVO0z9ef9H61rZ8TnSBRJQk9aQ9W0E66sUWkxEJj0s4vzhgGpEF2b9a7BmI0PWphGeLcrHfQAkcWLdFTEQ+INfAV9mx5BWAI0jSQo0Iuv6cMwGG64F5hw69tfjT1teX5LTWdV0/YH0vLvyu9b1v6Ofx+uNw/w9PewYqRAQnecM9ff6Z7x717OEXzzER+ofGHDaXhXmyv8mVk4Gkvz/KnoZIx8dXfExtKnj2bt8ck7y2FX2cH0s4xn83uA1KUqXJhMY3tjxBdBqepZakWp0dgN/YjkIlWJI2t7ya2wkeAPnAgvjIolepxiPnZ4xkee2id7Uj6/KGYzleO0ga9DMzzs+4voOhM78+4X9LTtNNgHGej9gUbabmY2ISvj+dYK8KaufK/vyCOtyLvs4/ct7v/4ER/oC3DPk6sXfQ+/L5QNW67uvk2cU+jwAAIABJREFUvnlfT27oAVfUgH/Gjh5fe0Lz9ErtaqEjX5H0bBRF74vj+PW3/JsSMBq8/V1JB6XvsAn/jaT/EMfxp6Io+r91MYD+L5f+fz6O4y1RFH3w0t99IIqi6yR9UNL1kkYlfS2Kom3fHfS/sVXimg42L5+Id+V9EGdWebM5FPmAHWuy3To1cpMaA4zzRIWxqwX5Ik7KBT+Scd1Miclrd2c/6PcZUAjZ1e1a0AUQzZ5qekl1e8yHFyJvbelz1Ze5APa0JQ+KTi1yqZgaiez3ggX7VMBaOg3krSn5ZlOM2YiE+AA1gK6E5P23Ff1vz0Clm1jqpOQgMRxpIOmbHW0qEiuknKs7pGJ3zjXAJengkuMHuzr8+zeDsY4kNeG+5iMv6Q50cgDSEfn874w92FiF8jMdMiSpWveDVhHc0ergeCbx+6NDGsGeJOne4s9YXz7yuXM65s36aMWt5VvgK3CGpXR1BjSvX6y4wsT9OTZCobXryJI/k72AUCsGzEVW4VEX5AFEKsGH9HXNcevrBjWGw2UOPt+WdHI74VS705ykIJLYg2ACRXASSepKOheHsMszkR+Sqw0O0lst/y4iF3cmOag7UfV5+iPr/DmdZjSPthE/pfGy9d0Hpl4SCyHQMyF1E0n6sfW+9/zXM/63IS7Hx0Y9nvjShB++KJYogaunJO1Ovd36Xqm7XftS3dVdJMZD7yn62jcO2taS9NVJf/93D8JBATgnkvQq+GKQsdNiOaSj7X3nKzDPOvwP9wc0sPf2+d9+derqDq7f3a420D4k6d9J+mYURT8Rx/ETYtGAy1oURWslvUvSL0v62egiAPRtkl5fZX9H0r/QxUD7PZf+WZL+RNKvXvr790j6VBzHVUknoig6Kuk2CVwkLrVavKqJxuW4xErTyUdbxVmpqZYvAjHQd0LZ23ORqzwUG56RJkyVxAHQrUUntD1V94VFknZEHlhQpu/JVc9+SdJAwZnKrdiJl52Apz4VsXRPT83/tgXubI+UPonX/9KWj1vfy4seKOXB7VGSJiEw2NPr3/9NFujQwxXPdmUTHlQPismM56u+MT0y6Rs7saQlaSOYcVCgWon9oHI04sITWSbfMvS/Wd9SnQ9kSUht7Ip9YxsAMqAkHV7xjekE6GlNJk7i9Rn5++8DZ9HeBJOGaU53gF19Aza70Hsi1ZCpaoARBS0NZNTpGhCpmxzoN+A30YEw1Hoz49bXAQEoGZ5I0pNNN8epN3xjjgLbx0Ldx8QXppyc/is9/9z6egOHnwU4u59JekZxOOYDWRUqjyTxlRMHAKSYRFJ+b13Dh68vAMVgAIDnM4H3TG67dPCvgAFWqXwcP5PacJdzTuoxn8h2d3kyaTTrL6qPXNEkPTbvv/WOtB8+/rz8Dbz+no57re+6oj/Tc+UAvwQIqmf1mvXtzbOx1QmIVTd2+jz7xorHCDtjJu69Bu7XxbTHHUeXeD1fhrknOJD2ZfiZHIeC0mjex3lAHE8nV/1zH5v2vh4gbUrS1k7/XQfmfT2kA9U3a1x52Vl0PDcdCCXpcfYgk3T1gXYcx/EXoig6JOnTURR9UuHn9d3tVyT9Y0mv1+76JS3E8XfqpmclvV7bGNMlJcI4jhtRFC1e+vsxSd9NE/3ua9qt3dqt3dqt3dqt3dqt3f6XbFcbaEeSFMfxkSiK7pH0SUns3/36BVH0bklTcRw/H0XRfX+pu7yaG4yij0n6mCQVEkW9K/+Dl/33P1tx1YZ80lmqkrQt9pN5WZ5VGg7gHFtN/9wD8gzK1tgzx5L0TOPPre/BnMMsSg0+QlFJnRplrqWLFvZvbMTIJphEImC68LI8e9opB07f1Pk+vD4DiQ2S+ckH9Hkp/0hZiXuH+LSemXGM/RTovk4oIG8oz1a81vB61axYIeO1Jc8A9cSOKTwhx12fXwgWf6xRqXME9HUl6eCyj7/phEMSxmuu7iFJZZB3fLji+s63Ju7H6y/IS92vNjyjugOyV5J0LnKYSxkqN03KaAckDzOQEU8nQHWjySVpKhUPgwwimR1JUinhaaV98865COmyrzTcRntbxz3WF8roL6x6BrQJGOH5mDEBKbBCvrPopiXTAPHqZzguroZUjesQZ8RTgCen308GUJJ0tuwVyiem/P3/2EZ+p/cO+31R+f26Gsu1ztf8uzqgGnWh4RnRdAdDPwoZX7uL8u9fEKuWkMrDVNV/Zxeo2EjShg6HKczWfD2/I8EZ5S7IlFea/kyenOb95KFRH6fvL/p3TRJuSdL2Hg+9llf8t27WuPXNiKELx+e/YH3X9Tpk9JmGqxBJ0sZ4u/WtAcnC08A5kFheclMBzJYCMpwnV/yZ7uz2Z/KVc7x2nlj262mezjUcorNBHAsRj2sPC6tdsV1VoB3H/yPyjOO4JOn9URSxEOz/aG+R9INRFL1TF+sP3ZL+o6SeKIpSl7Laa6XvzMQJSesknY2iKCWpqIukyNf7X2/ffc133+MnJH1CkgY6RuM3riNDKS8LEsFQks4nHD9wvumL0OaU63ZK0vPxq9Z3Z8pdp1YCm3Vvh0NaqKxTS/DCTs6OJNtWADkcSRqKHGfd0fJFkMxR+hOs0dmCwGKh4ZrT20FgX2LdVyq/bu5kjPf6gq8CtIQOBsTonyp7AJwFeTvSYZakAcDdU/T/comNRN7W9besLwdObs+XWHaOWmfOdYOfbnkJ7a4qY6xJIitd8XFyFsx6JOmGvG/Wz026jvZyNzuwPr/oDqzdBd8sTsb+mZKUj3z8d0BQNQESZ8vygFSStrf2+GdC8BhyWn0CDgofLPg6c7DCB7pNCceuHoRg6RyUuSUpmfCgfgDMuhYgeJOkQgac3Lo9AOlucZKCnspxgA4t1fzdrWfOrSYAvUDEu2MRQ/Hma/79DyQd57oUMdDzVMnH+Y+M+999ZZID/dsHfKWagKBsosIwDcK9V5q+dpCz47pe1mwmitSq/OCdTTCPBgwD9QwM6ZC06LMNTyicKztEbleOzbJeKvucvrnqc3d9J4dI35r2/n7g/IRM7Qh3T/tRFg7pEejCS1Iq5ZCGTfIwbSAA/VhbAFfZjCdDQmTIuweIc+PrBEkGXuz3ObkCh59U4JkSR2Jjxp/J5gx8TwBL/2jFY7nkAkujXqldMdCOoug/6coQEWfeXGpxHP8TSf/k0ufcJ+kfxnH8oSiK/ljSX9VF5ZGPSPrcpUs+f+nfn7z03x+J4ziOoujzkv4wiqJ/r4tkyK2SGFBzqa3EVT1bvTzgWB/7gPta6RN4PdkIt5LgJlTjoGoDZKrJoeoJyFxLUnfKNWqfbTnW7PbobXg9wR+rsDCWWkyIOlf1RezWtCuUnAFMWHfMGGVq9SaQPwIanYvgrrYLiBqdAY3OCTC3WQMLDuEpJakJh4pB+SRuxryxUJXiNjio3dv5Mf5+yHR+cdktxJsBLWBqA1nPNI+3/EAa0gAlIwy6z1bA4KATVFPe1u0KGYcTHgBITKYlB9O5BPMGTix+zfrGO/2ZVCIHVNZbHNSU5YeKbwMXYjjP82Rv4j7rWwJnpS1pPiQfBR3set0PBctVjkppTBCel/R9JekuuTpOF7ji9uR4VBUBf9lTctWPeXDW29DJn3lwkRMSV9u60n54Ic3tcw0+0K2HMUXEs0JAYeMwWFt/buWr1jeSCCQpIr/XfMOTKZm0z51UAHeeBmfUQ3N/Yn239fxNvH6m4mPqqYp7PeTgQCRJ47E/0wuJ/dZHPAyJeVAzDR8n6+WKNZL0jZILJtzRcAdWMuGRpB+Tc2GIIErOmkTklaSN3V75K4EyWgEOWRLPPWrNQNU6FEC/sWUCPKpb+rwad6Lk4+yGgGHM4pT/7aYu/9sMVL2/foHX81vSvh/uWw7YhV6h/UUZ7ee+65//D0m/8D1/g7efk/SpKIp+SdKLkl5PS/2WpN+7RHac00WlEcVx/GoURX8k6YCkhqSPX0lxRLpoLZ6PL58gfbAxvL/v7+D1M3U/xZ2EknZ/xjd6iQ0O1kQ+CXtSrGSyruWZxvMpl1lan+dF8ASwz2ugHDBfOYHX78y79FICVA7GWr7YlQNKJjNLnm3Y1Oubcr3F118AW/kHhvw9lUDiR5LWw3o9UfbNDmI/SdINKX9/Z2tewssEys9vz/6g9Q1kffqR3bbENuRbih6or2/5mDobsbV0MfYa2EsNV85MiSs3q0DIm0j6dyVjXmauS/j4OZrwDML2mFFqywA/6ION8f9h772jJDvP887nVu6q7uqqTtPdkxqTMRgMBsAgESABggRJMUCkJZE0RVmUaMla2dLKki1btrz2sS17fZz2eC1btiVrJdoyRdMKtBgFkACJnIEJwGBST+iZns6punLd/QOglpjn94FD70Irz6nvHB4CH/pW3br3C+/3vk9YD0guZtMerD7V+EPrS0GW95qMk2Qk6dFFP/x8YsQlK0NqBD1Q0iaYSMiVlrKXYyXPKGcjDrRJzu0kOB4e6LBj4K5+/9sTKz5PcxB8S9IG+F3biz5+HpvzTXmgwr+JAn2RM2IVpBklJUBGspN1eGGlzkzqGcjHjMLSTQdPSToP2eulda9cbej1A4kkNWO/gdmOP79tBYcITTX48EDyjKWCByXtwH5Aik/9674ezSYD0JPY5y7JeG5KOLxOkpbbvk4sJjwjWs5yoL0PDNxonlLVUJImwLEwA+o0Z9c9ADyT5H2bDMTooEFqURKrWBVTPndCmddDS1cWqO9iYS60Wyezp5k67yd5qPDmU363wGPWasTSoPeUoJo3e2VGbd/Z3jTQjuP4T8B9URT93Hf++/fS4jh+SNJDr//zKckFiOM4rklCgG4cx7+i15RLuq3buq3buq3buq3buq3b/qdo34sF+5Ux7P4MtPX2nOE3b9vkpZoXVq5c9oqyGv0B3dUVKHetgkTUnoDBwGTCs4LbO36CDuGKXgDlw91yjPj+HjenkKRsx7P/lKmc6ExY33rMUma7B1ybOw2axQuQVZCk7YATJazYMpigSNKWvGdWHpvzdzoaIFTthKza0wuT1leOHaMqSVtSMCYAEkDmKJL0zowT+l5ueuWETvUTHaZTEPHuIMBZMkDwkxhSMAa8hzMJzhSuAcpnZ+z4t6mIs1pr8hLemhyPnAUTGklarzlBOQk64oUcczmoEcmwDBibkDTnTW2HlPxx9XPWd2OGsafXZDwr+PTCs9bX6Vy55GDc62Oy2MvQF4J0HJGX9E9Pfwmv/+jQL1nfZsDJbiv4ewo4oGsQpPAeWXvI+nbnXYdYkl5adMOeBLCzyexHkh5b8DXtxpJnSk+tXLkRxl35H7G+55sOJ5Gknam7rG8acO+DsYt51ZtMuB/Me/ac4FStiDPaPVC6u6HPs9S/dv7f4PUlsGu/MetVw5k2ZypHk76fDEQOESpy4UUTAEk4vuwLWmieLtR97dwAcKonal5hyge8Gpog2DAM+85Sg9/JPNzTRK/HAjt7ee1Yavh+PprzSfnsAmfUG8DbGMn6nCAitCSVs/5O/uuMc6v2ZRyaGxqnQ1m//ztHOO77ckCLW/reAu3/aVo5Nar3lN84EUn3tRZgic9GvgFTCeYUKIlIUjH2EhCZAQx2gCAnaSF2kuBE5GoIFQjUJKkNrnMPLf8f1ndv/1/F64nkmAtg5S5v00lWzdgrX5jPyjHi64ESDuEXqQS0q8Qbw4MXvIR4bdE/oC/Fm92pik8Vwvl1In4n5OJ4eMWhJ6cAOiFJd8uhCv2gnHA+ckZRMjDNSQc+C8ZA+/r53Z9Z9XHybPOL+LfUnoKNnZwZQ6Tf+arjJDtZv6etELxLXNYl3eCDqfdb37T8kCNJvfJ3sgzB52qbceOJpAew78j+gPVtLjBs7PCar/alvEN0tieZ4DoHh5qR2A8aIejLl9d/3/p6QCGC8MCS9KXK71rfR5J/3vq29PrYnQF4mcQH8ullT0bcULoTrz/f5yQ5ws7mOzxP9hZ8P5gFA63NvRxAPDbv77RALo7VSbw+3evY3dF4wvpWE752biwcxM9caXsASL4CqQBsbA6Cuh2A0vjzAadgMjabSvic3BJ7UCVJM22Hk9054Pvx+YAxE+1HlHgIJeOIzzcJHgIUd4zGYHMsaVn+mz4//4+tb6Ls0FBJujXp/oOPXPL1dBgMuCTpv0/7gfLD4/5MwStIkvQyKHzUAWIzVwvFPX79TjBreqJ51Pqa4he90vQkVRUImt+tfTcy5Kr+n0x2Poqib0cGkV7T1g6gbf7/betxTc9dphIy0fRNtRwgrpWB0Heux//2lcX/dsX3dFP/p6wvhLVarnj2+LGUS/fcnfATvCT1J31x6QU89HLMMkEU7E4AmfQ8GPMkAiY+BXCG7AVCVivBJ0syTRvrdVDZQsCCPQcEiNm6n6zjwP2fWfPrX139ivVNFFlKrtL0oPKdI74B39XhzZ4Wlz0Z35leXoUAAJwBJek8qOuUY1+YVhq8Mo4XPN1zXcdVCvrhQCJJRyMn3Y7JsfDDbZbNb+Uce7rWduLfIGSpJWki52omR6o+J3vBqp3Y/JI0CYHqoabf50BqAq8nd8AXO36gGGi6uook9Uc+/htA3KunmMjdADz7BlCOONlkQlAq6d9Pxkj5HD8/OuhMZ/1edxQ9+/XiOivBHK45Efmash+eFmM+5M+vuhxaqfRu61sBLLQkLYIL6EMXfU4dGOT06a6Cb7MnK/5Ob+/9MbyecPuDCV87puTjjAyYJGk+6cHe+baTlucDiZdK09eZCqhpXGrwIXt/ydeUoyt+eF0M7PEZCH2IB3SqynvkLSVfu2mPe7XJuP2RlmfPl+DwMAQV0jXxOFtOeDKPpDFHIsadk1nWdf3e90hA8vDTE/6s4eygsQDE+QQ4wI73eN8C7NuSVAQy5xML/v7SwLm5CVTpJOnlJR8T5ED53dp3w2jzG/kz3urtRR1feGNm5frBv2l/94XlX8Pr7+93KTWaGJmSa1RK0gBkqhuQZR4JBBCXUn7ien/hI9b3uQUuq433OUykLD7ZU6vD6Y5gBsvgAtmATIEkLQLM5JXYs0q3iZVUclBqzEP28kvn+bRPp+gSWLF+7QIH+n1p0PctePm2t8OZRrLWpu8PyK7qaNXvayzvGzNlulYDAUAJKi9fWv6n1nezWHP5WshKLkPl5tY+fien1jyAKEJWkAiSkpSFDWNnwrPXF2K/J0nKwwEgmfLN4rn4SevLBMiEB+D7l1peaj2b5DojVan2yBUiHqg7OVaSro/eZn2FtFdzjq7+d7x+EOQRqfw+B5KHkrQITnbUhnr4oLAZyv/koHtH7Nk3Cqgl6XaoCKzAgeKV5kN4/XDRs7q0Hp4FFSZJyraczPuOER+7RHqUpD6ohhGU744Mq46cr/p6TkFhseWwq4E0r2dLLQ8dKg2vUI73sIvhaN6DpW/N+OFhCIi4kpSBWOumyN/TkSTLWM7Uvf94zYPae7Osw0362JRlzwNBUZLG4PfX2n6gX6r7uytHnDi4CPt2MfLvfylmFaf9LT9Ujff4e94aCJS3gV36bN3HT6bA4/wmMFxcasI4C7jS7iz6PBmCJEsCMtKDJKEl6cF1n9N3ZnmevVkLKXd1W7d1W7d1W7d1W7d1W7d12/+LdlVitPuTo3p78cff0Efls3f1/kW8fhXMVTZBmb6/xTCFNuB0X5UTkkKuVdUKlL8H/MR1IOCieG3GMxNU7vhS1d0yJWkg7TCbFup5euY+5LB0IfLf1JP060nvW0JpcFVqngF41wYmUz4658dlOlfvH2CYxavLnlHOASRjBFz8JOlwzbP/41WvMpyv8O8fBCnAV1ZB3xnktEI4wYuxl/+JjLbcYm3ySsvvlXR3lwMstdvTLhH3fDxpfUSQlKQX2g9b37bEhPVNQ0lckoqRZ+RvKXzC+rKxv+d8QMaRstcbc54CStYdIiNJdVg7TsZefl+pc0b5yaRDzMaynqlaS3NJe7XhONdJIP6lAlq+WwA6FYOW3pklN+aRpDuHvBr36Kz/pqU+l9f7qQ0/ip/54IpzabaDsU8lciy2xLyLbyz/O+u7tuheAxK//wzo9TeIdCJpGiANB5LOeSGMqsQQxY1Jn3sbm/5M1gKmas+t/CfrKxV8TFcCJj4rDeccbezxdeqpOs/d5Jp/V1/K18j1Bu8HN6TeY31zAIUMPVNqi/LKzxrg3iWp2vL9iEjT32x4dTsV8KpoAufsq0v/zPp+ZvPfweuXYJ2mcbrS5PzsUsPXyRNrvk7u7+cK6yCY4xTgnX54E2eflyH7/UDN4b1/edSRCD0BCfB8xeO+L1SYyP1m7aoMtDuKVbtMj3m14y+3EiBDbkw4eYeCCsI0SdIFsBzuiTyonOrwInBz70etrwbYB7pPiWEKPQHtTGqljgfqFMBtArvqOcCJSVJP7ItoD5TEj0euUCBJG1a9LPiH57wkTixnSXoScGVzdZ/Yd5OPrJj89eCKQ3c2Rc7wl6SNYLBwcd0/8/eXXeFAkrbnPYAZlZc6mxE4cYGrpyTNgPLArsg/kzToJakJ46whn1Nk9yxJ8zUfU2fq7kW1lmUt2uGkb7Yvy8ui6y3GEy+1PAC7NePa+CtgWJMHsyJJWou8fJqF8iVZtUvSxZavHTf3TFjfsphMWWv7xk5GIgnAKUrS3n5XB+oD0m0mQHLbmHVIDa2TiVEPqCXGWd5ecijfbNXX4+shGSFJN0NQd2zdA8DpNkOUiGR4V6/DqS4E9OpP1fydbG352h1ao8/BgToJzqIL4qD2XNWhT42kY1KJTBfFATwsjMl6CyBGHVYcOgseDJRkaSX5kE94ZnomrYAK1onIfR2qDd+73t/PEKdl4K1sl6umvNjiQPvEit8/Qdz6It+L5yFpFWrv7v956wsd6GiPm675PCeXZkn66gX/3G0APu5L8dpTBWv2gYy//0KKD38XIfH2wwMeVJNbJymuSNIPjTgRvNb29USS/v5K2Efxqgy0W2pr/jKZuM0g+1UAeTlJei5+xvrGYt/Uky1e2EnlIZ3wDNBixM6MdcAP7myTQD9errNgpDIE9qYk8B9qJyEjf3fa2ewzATWCdOzB3snIzRC2g4W1JOWA5d0HYvTjObb7fveYf3+t7e9kni/Hyfnjo7/gnxnAj52s+6GKFrxqnclDl7KOUz2Qm7C+Ew0P9GgDkhjTSG/vaIsDiA0dx16PAheArH0l6dcv/O/WN9h3wPourDlpUpJ29boc23rHgw2ylpaknQPOezgVewbpwpqP/Y+W2fHuXNOffx0OyZcnAr7dyPUtAweVDTEfPjanfJ04NOBckDMr38Lr87EHyikgCM8E3Dbf3ndl+MXQZp+HeX4LYPwJp7kK7rGSVIUkCamGLAXw5THwa9Kwxo+2WQaSKkrIGeHzrPqS/h/Od1xdaBEyspJUq7tCCB2SewFPHOJH9IFEGpkgLbe48lKEw3sa1tizIWOnpD//M0CE3gmytpI0lvQIMAfA73LgnRQBN3961a8vNvlAvrnPPzhX9cTRg/Wnre/GBPOYngJb+lfSPvbHWky4J7t5Mlu6tsjvZK7X46mNgOf+3XNMMD1Y9gN9AqrGY5wL0zosqTNVD9SrELdd7iT+7faT4Or6wjwf/t6sdTHa3dZt3dZt3dZt3dZt3dZtb0G7SjPadc3Gb8SlvVL9Y/u7TQU+7Q6BlN3F6IT1bYuZUU3Y3UTb8W+hVo38GEkwhxyYk0gs8bUOGbRWh9O3U/KsHqkZrED5rhlxqa4FOM06QGz6U3xcpQTY1ryfLC/VA9hZMLJJR/6hoZNnL6iOkOUuZb4laXMapI+afv9jAS1fkmgjOBNZkDcCuPckmDDFUCapiCFOFfiuF2qO+787/nHrk6QfHXUTKXqmR9M+9yTp8MJ/tr595R+2vt4yq57s6Dh06cuAaSTd2dUAdnVH5NljytI+2WTVj9vSbnpyft3Xg3bAYIHG34l5t5U/CIYfkjQL8IcDCVfNuLmPS+qLUFJvQPr20LpnZCVpE/A2dvb7nJ6D+vXxZR7njY5n4Cahmsb1HGmo6AonhHveDfAwSRrr8f1gFuQ6twZ0tFfbvs5ebsgmSQN9jN0tgpJMIe0rXQMgZqOxG6VJ0iXwmkgCb6E/xcpatba/q51lz4iOdXzsSdITC165ovXse2n9wEU4tMhj6o5hkOEE3sS5DlvYD6y6DCpp47+j8z7r+0rF8fGStCvvnznYcYhSAMmnedD731Tw39mO+QOOrHglvgaV9LcPcZY/DXhw8JrSH02xstlAyquBj7S+YX3vTPhzutjkqud0zef0/gEeZ5/jJU3SVRpoN9urOr/00Bv63l/66/Z3ixC8SFwq3ZL0MnsjunInr4Ek6L7Grs8qSfvk8AmSk8okOSx8PvYS0iCYTkxk3QRFkjJA/uqBRWwNAvWjS5/lzwSJsVvyjp/KJRiOM131AD4P0JF6hxeBmTosjABp3FTg60ehBNYBnOpDiwwH2pL0Be+5+BHrW2tw+Xdjj2/2FwEmMZ70RSzV4XHyreYD1rch6ZvyTQnewNMQQL7a8fdcDTgUlGFjG8p539SSwyEkDhanAPpBBk6StBj5nLiz/69YXx4gZs/LMZ6StF9O0iN+xbUZLv9WQIqR8NC70nxw/93Zf2R9FCiWAsqtL9f9+dWznlBYafDWcWrdN8Fvrv5b6yMsuCQ91fESbmf5Zvzby9vX1t1BU2Jtbmqj/a6rLkl9YHpB8L52AIpHHAUaE8dAs1eSNmSA35L1sRuCSO0YcN4BHcjWwb24nuDEyeQiSCkC72BzyeGFkjTX8b23DfOMHCQl5qK0gUcUOpA2QEb0QsU/sxMwxL5Q9d86Evs6lYt4jx3O+R5LeuuUt9lY4Pkw33Gju9WE81M2tPnwQqOvB/wnTqzxO/nJ7R7oNuGQmwzETWQKtwi5QPI1kPhdvSfrevd08N6SZmOm31pwGdWfGua1+83aVRlo9ySHtKf4RvzlcsdJWmMp9ts52/Zhy924AAAgAElEQVTBmQb82SUx0WEb2CBT6216UCIxfpNwtiN03JNUXnP83PaUY9Q/N+euUZJ0d//PWl8TMtKnEr4phzJlpPywIQnOioGFbTDrk+s0nJOuKQQ2hvWAl+4Vtvka4Gxhs9yd5Xd6ruY3OwNGGGXIPknSSsfVII4tOcntkyOeJT7UYdz39ZGr3nSgdNAMuF1eAjz4XlDSWQoQTSizMgDBdxky55I0DaSgWtMPHz2AW5akOlRfRkFbm/Ck+5qOJZekXNLn5DnQMU4HVEtIHYlI2znAmErSrSXHjq9GXpGg9yxJ1bqPs8WMj924ytdPJX2zj+CQfnjRqxGhVih7lnt/yjkzt2dY9eMJ/YH1rcPvrDQ5JTW75jjlu3o/ZX3PxA/h9YWqcwk2AR722SXeT/b2ejWMuBwUfEucaabXT3tMTZyMmih/n/XN1lyberXp+HBJSiQdy0+KS4sNxsOORP5Mjkb+/Rkg4UtSFPk6TVXfeuCQ/h/nvUJ+Zwo4I23eoyOY51NNNky6vBG5VZLqDedN3F/+G9a3rchh31fmPSP/9owf6APCXCql/VkloGpcBIKjJG0CbfEvXfT1+F3jfAO/dsE5Fu/IuTpPGZAA51ZYm3w88nF6YuXKuW3fbldloF1tz+n5xd98Q9946R32dyOxwyEkKQsn6683XGLq+gSf1leaPuDmO54BqSfZ9pOCTdqWe4GQIUl3FIgp6595T//P4fWUgRovQrYHFutLEWePDuhW65tt+SJOEBNJuinvwdJxWJfyQBySpK9f9GDl+rIvwiExfHK7n6w59OVMgg0ShiOHI93T52oK/Ukm6B4D2bsmZCpJjorKh5JUlQeaPSDP94qYKFJP+AvYG3u2ZKbGCyvJcRUzfv8FID5J0oWmB0BE8N0eM8GWxm8aKiqNtn9mNlB5Odt25YDphM+JWxOcQTnf9qB4OeEB4O8ustX9jryvSSRPdyhmMuSW/nusr5cUgwLv5NTS16yvDZXDzWUv30rScsMDSAoUS0Bc64GqoSTVK374Gurzcbot8mqEJB2NvPxM8MA0mINI0lzL156dSU/yjKXZBKnS9IF6Q9mlDIsdThyl2/6uSJmqFnv6sAaKO5K0DATpFCjZpALSovT8pmq+H55IsArVoHyP2wlKJvMguSdJBYAC/uHMP7E+gqJJ0i2xZzXPxl7NXE/y97+z1w+P+ZT3PbXmwXMbFNQk6fqyG6hRA9SQJOmmPEhetjzGCEFPHpnzd52FjPiBEt/ABnD6fd8oHPJR7Ff6aXlQPV3z76ID3WCC514bCMJPNa/MlOs7W5cM2W3d1m3d1m3d1m3d1m3d9ha0qzKjXUyO6q6+H/uufxciro0ApOEklJSv6eEMwvN1P+23E57l3tjeiteTFu+Bfod+HF/mTOGGvL/Wi1U/LW7OcbkkW3PyWMhy+vJ2ZsWzP5J0Q9FxZSTvl4y4pH5tyzPqX6t4RvP2QT/VStLWXj9tkxbqY+te+paktvxZL0VeFh0LEKLWI89sbE36c742oPH1xLyPKcreEkkvhGl7FbD89DvvjLwaJElJwE++AnJeBzJc0p6qeqaPLHdHAM8oSbPzLsOJrd9xehJn1Z6JH7e+e9KujX6kybJllGy5MfLKAxnbhK7PgeTeewucvSLJzzOxZ8UIdyyxCdWGjGMv/6jye3j93uKfs75Di5+xvhLIQErSRMqNVKbkxEOqMIUydc2WVxmK8PvTbV571ta9IrHc75ne5boTBCVpLetwsBjgUJNwnxLzO4Y7XuGLAvtZGvJpVHU9HjmUrdHmjDbhwfvyvvYNBMbZtDz7W5DvR1Wo8EjSxqRXH05Gk9a3U0zmvADW5kRE//4BJ0xL0lPznmkdBYx2vRPQ24cqxSoM6rI8xmi1WC99Pva9K4ZqVmqBdaAPDl0ZvHJzD8Npji17lWBPv4/JF5a4aru5x79/c97jllBGu5T233oJMtrfAK+GDxYYS78JQqTdNdegl6RjPH0lXaWBdk3rOnzZokGOddtaHJSRbumlFdezVA+XP/cA0/p003Hf5SS7q/XDvQIhW0cCgfYWwCBloNRdh5K4JO3tcZWFrQkPCudbvlgl+rmkXmv75MxCuSYUaPcA8e6TveQYyEoqpG/91ZofCkLa4psi/65GwoOSVgDTt6HjgUUh48+KtMEl6WP9Xqq8tO4lsJMwzsYSvNhviH0TOdPx4DsdgCiRFi/pE/cGIqA0LIKltL//52sc1F5Tfr/1FeXjtA4lcUnqQFR6feQQp7WmP+eQYQxpbt8y7BChr8578ClJPzHiRignVz0oI3K0JCUg2CITobwc4ypJa/Lx05FvzPfmnGAn8ZpARPRUoJjaBKLUqUVwu+yf8L4U49apDbd9jT7SeQj/dqLk6+EpmCfZwPefaj9hfTNVf36DAS4C4bkzVX/PT7VY8/p6eWCwtc/n2UsrnoxIBaBsBP2hPbYWs2byqSV/p9T2lp0wL0kzsePZz9X94L2/lx1Y1xpgjAT8kjJA2SRpIu/PisiMrQARPAtJCtqPF+XPL5Xi9Xyu4pypi63HrO/6oV/E64tpv1c6uPelGN5ZB8OZatt/54vzvEeuAHb8VMUj3ZAGfwrWvvMVf6bbOk7urgT02om3sKvvyt1C/+Tevucr/idoKWU1epmhw0tVl9Oq9vBp+VZ5BmsAgroQVolk72gRDTnmZYFQVYMB+2ids0r7E44r21Tww8Nja0ySawFT+5XOpPXtTHpGvhVwTcoAI70FGOHrA/aytIi9DXiHk+uc/VwBKb2t8u86CnJAkrQx61mlIxVn3ocY4ddlfWM/VnfsbXuRiXv7y/781sAKt6fhmx0xv0Ntre4B5EDg8PSr5/6B9RGRtgxuf5J0y5Dj374255muLQmv5kjSbMcznb2gpkHmIhKbrgxFPqYJ9z4ST+Bn7i049pccMLcWmB9C+/J1ZT+Qv7zEGXEiUl8Dv2kxZpLbpdjxhy/IM7p7wOpekjZn/fnvBkzmNJvyYvj9qdwvWx8dktc7nDghE6TDTSezjebo4C7lY88qxgmYUwmeu7TOTUGF8cYBxjM/Pu9BZR8YoDXEnJ/lDnAxIJk0ufhV6yNTJ0lKgDIXtTPLvJ6Wez3YmUj7IfdtvVwNIxOoVTDgOtLiCmU/VG4W4TMvVjnxk4FAmThH4xmuBFOwOJTzdeq5dV8PQxlteqa3Fz5lfXTvknR+3fsXgciehEqgJF3T57P3JBAHbx/h9fg0FE+29/r1X7/Igf5iy+OuobTvh49U/i/rG8v8NH7mk7MeN9w79r2HzV2Mdrd1W7d1W7d1W7d1W7d121vQrsqMdkt1TV+mfkEZpH7AuUmsbz2e8uxnoIKhEsiB9Wc9A/DyKss5DcdeLrkEpcKJHOu+UqMMQH+Hy8ergCfOxfC3kNToEZ92U1CCObf4oPXdMeRZDUk6V/d7Wmz6PYHfiSRpP2gSldY8JV4B6IDEWeEbej5ofafabBeey/r4eWrp31lfJyCPmFne4J8JcJokvJRmwIjj2SU3vbi55NCFakCJ5VOjnmmcq3tWIVTqG4UE3kzkVZZrAKMqSVvbnoGk7DVJ5knSTsj0vhp7lnys49WIkDxfDbR8t+Q9+7i8ypWfL6y5GshPDHtJ+0U5REWS7oCsID3+JxqsOkLY2+0lzxRuKgTwzIA9bYK2/QJk+SVpuMfH73CPXz9ec9mtV2q+nkjSNTnH3q6kPFM4ufIwXp8AjsO+/AesLxnYTkcjL/WXIXsZ4gxRVnS24Rnx6yJW1zmXcCnDRsc/kyA+622GJ86DPvPJqj+/bJr32BuSLoX3eMU9GD6+gdfDGExTZmuOxz4iVoEqy9eUF1qe0a8vsrLYCFm4Q6b36TbDeXLL/vw3x676MQbmeZ2y7zsSw3SmI39PW1NcJTgKotW3Dvtv+tYl3mT/4g4vU1ExMhmQiz227HEPbT17Srz2pAEyuw6qKR9qO5QvNPeoStEI4O7frF2VgXZWPdrVeWNgs7HHd/UzVS6fliPH01JQGtL4LKR8syjC2DideBmvL8VOnjq87jCXbWC4IUl/sOySSPcXPSgZqDNG/LkaQCIyvojPAHFuR8TkkcWOlzXf3v8z1lcL4MbXEl5XenHB38n5da5J7+73908VtN4O4yQPJ/zwlQE5r6GAkxr9rkzaV6E4EBRTqfzd2Xusj8wtvlb7En4maay+AEYsX1p37J8k/UDRSYZnqz4mLlQC5VfgDbyv4CSnV1d5npIZxVTkeu03BmTbSEazDuX3qaQTUUcCTq/0mcsAe1pMcPn3Jt3mfwsQ83sDZlOrgCdfhWApZG5C5WfyBVgPHL4eqLnG7+Z1JwPmI8b+LjR9UvanroykValOYv8FwE5fk/QDSauX4TirDQ9Uy5B4CHkA5FKeZKgA8e25ef7+deAYEHHxAIwdSaoDuf7Mqs+dUsaf82AAJtAGZ86tPT4ma2Iy5UTWA826nEhLY1+SChC50L67q8FwomXgLdyWpsMTB2BzIFkZGtPUbu/xfWIdcMLP1x+1vibIRUrSzqQ//1zH9/jzFR5nF2MPygdAR/veMX4mhIQtpHztaXQYdnTfmI+pFYBH3jbA8oZfmPKxug2284W2z4fBHAtbVOFAmwEHy+/WrspAu6NY1ctIcZmEB0X1AHFuszwAasEp7OmOKxRI0r3yDFQVEjjjQEaTpFLWX0tZnn3dXuQB37vk5JdBWAPma/z6R2LPFp1Zd0JPCwZsvpcHbAk2JsJzNol9IWm55eYkRVCz2JZknCNl2nb0AVEDCIaSdDDh2OtXOx6A9Xcc+yexSsVA3t8/ZZklDsoXI8/UlWGzHEt58CTxxrS54UHR7jyf4EmLl3TA18FuWZIenPPDYwkOLxcSbHqRBvIV6XiTC53E2f81+Tg7CKoriQC/4tGm61sPde63vu0JVmMg/OSpFV+n9gTUaS7UfGM4GTnu+r7SL+D1ZxOOaaVDYmCaInb98RWv3MQB0nAMwWoCtJjv6PPKS4g4lwfcPrr/yhVPJOm5pmdF62kPIL61/H/i9R8Z+JvW1ws6zp+f/2d4PbUPlp3QFnKmLHdAsQoUk0otX6NDGON6BHjYjlfdWrBvhdrjy//G+p5dZ37G/UV//4+2v3nF31VKeJWqA662lLmWpCIEsGuxB7D98JkSE8lPNVy2IoHiABxop2P/2zxc/8XFf4rX/9iYm53lQAd7CYJfSfrmrK/doznAvQMJXpJ29fqcGsn6OjEMetuSdNewxzMvgRLK99J2pp1cXwZ1k+/WrspAu9Ke0aPL//oNfZsyf8v+LhuAORTT/lhO1x3msR2s0iWJnNGPrPjJPkS825P7Iet7pOEZqDsD5J0H6v5dB5O+iI5ASVaSNla9pL6nxwMwKsmTPJokDcvLz/ScahAQS9Lb0v6sH15yMtuIOCgky9sFYJ7fXeaFfRWKF0fWfWENwRQudnyznllmhy9qEUBviHk/FPnC0AmYAKG5TcLLdwWAqEjSMyueAbmp6KXiAPFexZZnSjcVwBlydZv1SUwmPlH1Z3IyALMoJxy+cWPsh2SC3iwG1BRyoAhAUn5NgJhI0jgo8fTAgSgfeCeN2AfqTvnBeQDgbZL0Qn3S+r7adDWH+3s/gdcfazxkfR24p++ldcDVd2PaA6B8izOKeSgp1zo+J0IZ6XzGx/QkuOJShU6SjuqE9d2f92RIqcCyYaTkQ07HiwnWF5vrOJn13oxDIr7RcOhHp+HVVYmNrSKgfIWIyCQvSETqVyOeuy/E/vzJ2GgPVIcl6UzCIWJHWgBlLH0Urz+07EmmV2DvuyVi6AkZyFGgvFjzd0cJLkma7/MkQS72A8XW8nvw+i29/v7OwldRQCxJlZa/629d8t85AMG3JB3p+O8nJZS1VkDFCjLNJ1f8XinBd6zCMN77x309L6UD0qxv0rpkyG7rtm7rtm7rtm7rtm7rtregXZUZ7WQir1LhjWXAZ4GUsCti/BaVShcSTp4ha2NJ2hl59riU8gzAO5Mfxuur8P0/MuglcQXwvCT9BJA65QIyPxvSntWcaXoGZVPW/25pZRI/s5r1+69CBurFmMkrdyYc/rAvd2UEQUmaAexwP9g4NwJVIZIXTMR+fV/EuPdc5JCaIbBQp6yQJEUgj9iGrChwbjURM/GuBRntFpSfn1thGcx7Br0semzZS8o3DjLGdgrkpKar/v0hGUzCI2/J+HM+0+RM56WWcyTyUComuctszO+ZcPNkLb0RMKqS1Aea42crXipdanBJdDDl5Vsi9NQbnFEvJD17e3faiWuVFldJUkAcLPRM+PUBPDVVbnqyDhErw0B/vO24ZUna2fa1Zz3y9awPDFMkaUPW1x4ydppPeEZRkiY6E9ZHFbIfHvhBvP5lqIZOA8FxOqCjfV/uQ9Y3AqTTizOOB24VOXt3MHGP9VUBDnQxwRr4eXgmOws+d7fHnBE+u85Z3cvbAMi7SVKz6WvizrRrbpMxkiStyufU1gRzQai1ATqyDlj6at3J4ZtK9+Bnnqt79n8YIIcTMVdOBjP+Y9tAOt2QY8jt5LqHk+fr/pwm+hheegnWfpKGPQvfI0k90L0K2f8RMMbpbzLkdBmq3t87cOQqDbR7o6LuTL3RZKAJpcKQluwUYDpHOo6pDAVFVGovAKGHoBOSdBFwwuT5MR3AOt006EHAsWX/zM0F3qyHacTKB+Khpi8Ct2d/AD/zFJRay22Hg+TAgVOSHq47Se8nRhw3HVKCSUBZsQhGLN+aY5Layegl6xsE1YoK4PQkqRA5dvvuHidkhbCv5PhIeOwMBKWk+CJJVTARIuLVTUXGnRP0pJTxsQN7uiQJPDPUBoWKmSo/lIcajoe+KeFBYQDNg4TApcSr1jdedHWf7+9ziIkkrcHOvBJ5oJRv8uFjU8EDg0zVH+DTS3z4mUl6YLMWeZKgB8ajxDCFHiDzXaoxya1Sv2R91/Y6yawNSiCStBA772FcDlujg+/uDkP5LufrSFI98nk6DQ6UkjTaceJaC+BYU2LS8J15D+BOAMH3lkFe+3b2+gEgXfHDx0gA91+A97dY9/d8a+kvWd8zy/8RPzNZcgOtMiR4FmMOYPpSvk5sA87MHMNx1Wj75xK/50LD1aokqQycLQrAXlnlgP7mPofoXagA6TgA88jG/+PY4fNLD2H/jgE3QToXO/Tkk4MMp1kG2ObuviuHfe3o9f1k7y7ydeBA/VjSn/8leP8XwYRGYn7LaNbHJBGRaS+VGPY4W78ycvZ3tqsy0Jaky9VaqmDksDHF8nZngbxFGahQpu3iun8XuXv1BDLKe0s+CbcV/DOfXuDXd1PZ//axWR+xY3nO4NCCMdXxjX1P2vFfX1j5bfzMDxf/gvUdb3oGqBJxAHFH2k0n6Jm8ssqTYL7uf3u24n1EkJOkFgTQx6puenFt3l3kJOn9/R4sHF7yrNqnt/P9n66AdNSs338alDwo0yRJ6/CbhpI+JspZHqeHFnzB3NHv918NSC7u7vMF7zwEldOBQLvZ9jHdB9jjBGAfJc4M5RK+JqRj3yxygX2yBQeFg71g9x0I/mlJGcv7b/rCFBOaQs6ml7fbSy5xJUmnYpenLMApv9zwQEWSfmzEP3cGmODXg9ymJFXbjsf/L4suRbgZpFlHYFOVpC0QqD4z79/fSvA8IcnJrPz37+qwWRVlRfeX/J5ma/zu+iGrV0j62p8LBG+Hq77Oklss9R3s/3H8zG82/tD67i94Rn604QGpJG3q9Xsdz4GLX4GfyWzdr//ylK9HofX85QgO1AnnPI3neExdgj2e2pH4Eezf2vHs91jkY/re/r9qfacTTm6WpLG2SwHOJL3ykQeCoyT9wSUfJ9sKfiBfbnLcsaffeSvZlD+n2XVeO/7FCb9+IuNjcjs4SEqcEa+ie7G3LTAeJenQou8xlQAX5M3aVRlo11Qz/cwMMNf7Y89ISkxom21cOQB+KvKsUmdtwvqGQUtVkq7tB33kyAfMfI0nzHDWF5yJgg9uyn5K0iIEMJQVpOt35LnUVwcdapKy29DxxUKSPjv3L63vveO+CK0GyJSbIHu/0vAA4tA6k9zKkZcat+d8Y01AoCVJJBLx57f6hN3Wy99fADWVBMhJPTzt47QPMgWSVAbprn6whaexJ0njoKX8jUUnqH5wmKXw9pU8K/pfz/pn7ujjrFip6WMF5VADVYJbEi6HRXqqkx138AzNvSfrvoHfnN5pfUM9XGWYg88dhb8dLt6C1/cnXZr05JLLO66BVr4kXRu7RBypy2zt5UCZDmWZBFVe+PmRhfxH+7168HsrT/nfFVgDn6pcz7RcwnQsw6601PpiD0CebbCt+GzC7+v+vI+JySXOfl4DQf1LscOe9kcMCchDVpl8AebA7ps0wCWpk3YlHqpwFsFVU5LaHb+nOViP2wDPk6QBgDkQabmcDATKcPiugrzeb03/Cl6/r+zuy/nYk3EZIDdLrC5Fh9+hhD+/68HRWJIKsHaPgyN16Ci+Enk1dyDj12eT/Am1ln9/A2zZKRkhSX9jl38XeTAMZhiJsARVwheXfJ26uO73T/LLkrS35HtsiNz/Zq1Lhuy2buu2buu2buu2buu2bnsL2lWZ0U4qrdJl2qFFOG2eTPgJXJImIodEnJGXYArg4ChJox3P4L2iSetrrHP2dh+kP+cb/qoOBiRKSeZmc8FPkU/McgZlc85/11z9ypzMGkAykqQzbS9LzUST1nduid3dfmLcXQhfXvHv/+qyY9Ik6YNlL0lTQn8OSEaSNNz2MZEF3PerETtDnlhxTOpGSNQu1LksNZD1THW55t+/r+zX//qcY5kl6SO977e+DZA9rQaO8IRx35XxUvHbhzgDQXj0r685JvTg4F/B63d2nOSWA5hDIaBtTtjjHBAn2gEXQ2r39TlEiNqlgF47VX52Qrrl/T2ARZf0Ss2z7+N9jr1dEWe0SeJuFbAPQwHsDMmWUd+XLzEXoghk4p1FnyhbO/6clxs8To+uuXQXyTC+vPg5vP69pb9mfWngPSSyLJuWBtkyqgZOJk/i9dG6Y7xvSrnmdybBebMYiLuvAHaXzGXOQ+ZcklaApHcvyNLWIx7nLyz5d51c9X1vJMepxg1A/IhhQSmDJ4UkrVadt/DFdZdh/LmtfwevfxBI/0mA7lAlXZK+D8bUSuyV5DXgzAyl+DPJLXQs5387mOF5cn/ZqyyphO/nLy0z9GMJoNcNyF4PZvn7t+YdskrV1EI6QOSG/mcWfEwVAYr1jUvMOfnFPT5+egPf/88nsVvSVRpoFxJpw0W+uOqav1tiL7NK0gPV/2R9o3kv17yzyKXK84BxHk1CoBdgaU1WvJ8MV67pDakx+GvdW/R7KgQm7HPzvjiSix/EKciwl6Sz0Vm/p9hxalv6ufzZB0EdWca+p8iay1Tq7wHSaiZA3llPeLA4CxCh4YAzZBECwN8768FzOuIp+bEJ33B6U0C8g/LrxiSXGo9XfHHJgeoG6WVL0kHQzD445OOkP8Pkl/OA1fvMfg8KX1jihXkgReo6/kz2RIEx0fD7yoK6y1Dset+FAMiaVGsoJh0IBKoEJ6MN7OAQP5OZ8/7+FkEhIdTIdOUXJjzYINUMSbq47v/hbNvHzyAoM0lSCTD2zy97UL6316+nDTT0t+V1hz58Je2uoqE2BzrqlYif84bYD5+E274lycZSyx3QAgbOz3FQ/JGk03Jzmp3idery9kibXWV3Zx0iSFyQcoohRpMtP+htAHjcFHgVSFKt7Z97NHK9942giy9Jt4KL4kV4p9f1M0yilPHn9+CM84sOJph4SLyHqObjdx006BdazBA9nnDCfqvma/9YjpM5WdCbX2j4vnPvKO8Hv3fW94PFOhjeBNw+V5r+TqeA+Li/zCZCBwd8TD2z4HPy4cpnrO/7+n4MP7M/A86QAejMm7WrMtBORFL+sn1sNOlYpzVYwCTp3flPWt9RYJSTlJrEATSB7UNqCs8segaGpI9uG7wyiSNJyoNMzzrgpyRpuu6n2AkgTtYhU7UGp3JJGgPh/P60T+KTHd7setMe7HxsgvDEfNo8vEyBqt//9yX8VC9Jp0D4/smOqxTUxML3PSlXCTglP3xkA4H+g9P+/N4z5r/10Yp/ZqjdDAvWU4se1FyTZZzmRkhsEEcIcdOSzlf9nYzn/Dl/dZErT/uzflBeAtm6CliQS1JFPlaPd9wB9caEBxUhdZgvVh6zvh8qvs36sgHQ3qYeP+Q+5LB37ea9Rlk4ED8JeND7imyuQgRRKmiQCpIknex4RYhIw5sLbBdegEz1OVCC+UCvJzkGs7wBnqnQQu1jb7e+D6+/IFdSqciDqo2gTiKxxNzXFvyQvi/HqiEvNZ+2vs3Nu6yPVDMkqQy8F6oyvNLye2qANKQkbUx5OXW244HOcIKDumtzfv1zdV+7WqAOI0m7cj5Ocg3fIxuBalwKFiVa50Jcgj2gxvH8PGd6qZEzJO2HF1teoQo1cmWl6nQuyc+U+Mn5lK9HfT18PZ3zSJkKciGSJFDb1Q5wv75Q5Q2FqsHX9XvfflDXWQlUw86DBO2Dl7531ZEuRrvbuq3buq3buq3buq3buu0taG9ZRjuKopykb0rKvv49n4/j+O9GUXSNpM9KGpT0rKQfieO4EUVRVtJvS7pZ0rykj8VxPPn6Z/2SpE9Lakv62TiOv/pm393sxJq+TFNsuu1loS0gHfPa9SA7Biz3xR6XnJOk31/6V9b3S6VfsL6QmsO+opc6SZ+3lOGT5WdOOyb1L+5yjPThZZZeunnA8eyUqZxbgzJxgjF9+wAmQmX+M6su5SVJiwXH47aA0D2Q4Yz2KGD6KHtaCuhpDme9/9wlsqXns+uhRa8SLMRnrC/EUt9YcNWTRgdgIrEbFORBCkySQN1Quws+9mZrnBEmiS3CyVYCclB9AH05BTKGHx7yaoAkrcH992CpmsvXv3b+X1gf4XFzkCXuDSQ1rkMFjJEAACAASURBVAfL563wSqcDWRnyW9pT8vc8Fyi/rrZ9nH1qw1+3vkWQu5SkdOxZOYI5kAa6JG1POD/lpYbjYSs9XH4+GXlGfKnhmc5ckmF71NZaPianwcBqFOaOxOYk58CWvpPheXIUtMU/PQQmMiyQoZ1thz9AgU2/t+zQAUmabzj2+H09rrlMrR3SPI4cT747sd36iMcjsbb3fdkJ6xsKPBNaZT8IewwIiUiSHq94lay36RP11VXmd+zq8/mTS/o6QbGEJBXBb+Diuj/rHKiznBTb0u8X8IAKsHYEdKAJirgGSiJTS1xO+0mIMY4ve5VhCfhmkvT4HMEOffwMBDDeh1c8e01zqtLyz2wH1jPKXu8rBcqZXHiV9NZCR+qS7o3jeC2KorSkR6Io+rKkn5f0L+M4/mwURb+m1wLof/v6/y/GcbwjiqKPS/onkj4WRdFeSR+XdJ2kcUkPRFG0K47jgDrva+WKy53LSDO7EahhnO34gLkt/zH/gYGy1A8O/K/W15f2vz26xJvdWN5f7m1D5FDEi9hdwz5hW20fxD0BPc16GwYi/CkttgfFsmOLHS/TE6Zvf+9H8HqS7aOJeV1/yETIrx8CGcQpgDNI7Dq1v8edKecCQekabFg/VHy39YVgFiUYP8tN/62DWdCRDkE3Kn5Q29Z35Rqh5yDS3Qk62rMBgudF0Mze1efP6dAyB8pb8oC7hzE9U+cxQRq1ecAp0nwMtXOR4zyawFtYCchQFoFo09fy309OrxJrSRPB9WiVyYi0pFBQ/UeLTDq+M+/wiVv6P219zYgDuBN11x0ez7kRzQI4tv3i8f+An/kLm102LQvEwVOxHwgkaTz2eX59yufu8Y4H35L0ocIHre8w6PPetYGjSoLpEOywEHPiaG/av59aU74e3NDD1y7KIQ1Ijg84iD255rjxHxl3KFgIujEP75+CquMrAR3u2GF/OTnBNHT/v3naYZt3DHpQ+dA8Qz8KTQ/gCeI2lXAo5UTMCb5S8srW7hUIniVpFfpvG3KI1HRAB3vnuB+eh2Ht7wNtbUnaNgGuxIt++CmmA/KCAIVdhaB6W78/55Db5fNLYGyUDYaewfaWBdrxaxTgb7Ot0q//L5Z0r6RPvN7/W5L+nl4LtL//9X+WpM9L+tdRFEWv9382juO6pNNRFJ2QdKukx0PfnYgiO10SRvqpBcbT7sr4wtpL1sjrjEceAEIPicTfNswbOGWQKFhaBaKCJC1BBrEJ2c/JCgcgKci0XwInto1tz7JOgxarJF1KeFaKNLOvSXJWaR0sn0fz/jtPrnFUecuAP9TH5nwS31Did/rNWc8sULalEljEdhb8uwZhXQx4GGFg8R/mvm59P7PBHduem+OF7YgOW9/GtmdkQ6Tdi00nU25q+WZP+HhJgtenaVBSCbV1OBA2gYtwZo03y1LKXwBpRoM8rcCDRZJ0Z2HC+l6Y97E3kOO51w+BNo2pqcA4W2mCDfa6fxdp5krSpaqPiZ4h14s/kJ7A64lgfHfZ53TIwfVj2Y9b34sLPvcrkKX++9sceylJj8yAmgMcfFcTHGinI8/Sj6dBn7jBhjUDoC1eggPR2SvnrOpizX9TOlC5mZa/66GmB4UjsWPEzwA+XpIurfs46c85GW4t5j32nl7nwtAaNx+wryDDmK19vqCETOWobU4DaZYfKWKfz1d8nD6+/G/w+pScI0FmYb2xP9OzMVcuJqJ7rG8F4sc9o8ztOrfuY3Kg1ytk1CdJk9N+eEAd7YA2+mAWDp/DPnbrHV77yFX4jy74OL9r2H9/C+IjSXrvuB+UDi3wgfbN2ltKhoyiKKnX4CE7JP2qpJOSluL4T1KZ5yV9m+W1UdI5SYrjuBVF0bJeg5dslPSdDKXvvOY7v+snJf2kJCUTPXqq9cIb/ntf3QOIaoBoMZC7MujG8egV65Oke8HFkMoVoezlph7/ruvLHsC+uMhmAFvy4GK47IHebYP8+8+te7AzBXNzNOvB5wVgGUvSVMWzPafA4OFHNvxtvJ7MBIYgUA2JydPGvgbvhFjWkjQXcG2z7w9EEMNwr89AAHxgkKfkM3O+uP2l4XdZH0F8XukwQbJHPn7WIYB5IbCwb9ce69sEipehd7K713eBwyu+s51e5Q94uP6c9e2JPSt1Bpz9JGl3NGF98x2PdopVfycTfbzYv7Tgc2oPyHWG9n+CA90EWaXkPC/2Nwz4ZrkEcJ5ija/f2ePEzyZsYP0BNueeon8XHYhCgTZJfJHyw9EVf/5zgaDs3WM++f63M+5sOJZldZ5lgOMMArk+FYCN0Tp/bZ8/gOcXeVCsNDyAW4l9QZ4AgqIkfR3W2S0Zz1T3guLRk6uBuZ+/2/quSXlQWIWDt8TP5L/O+346ue7kYkm6vucD1leo+e8nCU9JSkeeqRwvgC08uA9L0sV1/9sTqz5OckDYlqSLSV+Tt6bcmVJQIK0DDFaSTkZ+UEw1PGlYheq2JBWA+BhB0u2JKf9MiWWFZ0EWmCqxkjSw7vN0d5+vx5dqnLkfz3ugPpzze1qs+3p8eIWrSZ++yWFfmeT3ntF+S8mQcRy34zg+IGmTXstC+878/913/fs4jg/GcXwwCY533dZt3dZt3dZt3dZt3dZtf5rtT0XeL47jpSiKviHpDkmlKIpSr2e1N0n6tqbQlKTNks5HUZSS1K/XSJHf7v92+85rrrgtAPlnLMGn7eU6kPTqfoq8E7CDknSq4qew4ZyXGmcDWdJ3bPeSfDrhf3tkmc9J+0ue2vnVY/6qf3k/l5Dm6p6tubxCIEkHIicokraxJO0pvNf6xvNOxjxX4/opifQTmW8UTrCSdAmIewuQfT+NUmAMH/j91Yetb3vMY6IF+MmPbPG0znCWy3KljD/XXjhZPz4HcIpA5Wav3AjjK1XnGacCEl0Z0JxOQwZkAPDlklRMe7qmL+UVhcEcZ/rullepDtc8A7ERpCUlaaHj47+c8EzX1+oPWN/Hc2xOsrPfD/lEECUDKUnqAPRldMTXntl1loF8fsnn+QXQ9T/Qy0ToZYCIkQwmFD4kIcRbgNxQFIAj9ab8/nf0+gfc0O99fzDFa08Luil7HfIAOAL6zGOtO6zv4WUnwUtSLnKC7X6ochwc4GfyG2e8fL6cWLC+67IugSpJN7d9rJZAm/ZIxT8zmQjwI8CD4nzDx2k9sPbMrvg83ygnPbcKzPlZkHMhKk3//aFx9q4eXzvOA+dk9zVs7FTv+B5ZgYF295+gZN/YpmPngV3OK5OkdZCRvD3FMpSvRC5BvKPoa19I3i8H+tCPnnc40bt2nsPrf/6hrdZHkN3Tq1wl2Ff2v11tedxEe4zERPLnAbY3U/P3RDBOSWpCRr7Yx/DSN2tvperIsKTm60F2j6T79BrB8RuSflCvKY/8qKRv1/C+8Pq/P/76f/96HMdxFEVfkPQ7URT9C71GhtwpySVAvqMVlNfNiTcGPCPAZvtjwJlJ0u2Rl5+XEr7YVVrsDJlP+CISg+NaGbB7klRr+72ut7wvBGegzfrDWzwoJ9y2JE1CsDkQO07xBJx39iUdty1JaTAY6AE1jCcbLCjz9thdDKmkHSKv5AAjvxUMf44t8/VESLov52oAZ6p8UCA40D1bnRDUCDCyN4LMxakVX4TaMQR6bT6XrkcT1vfn+t5nfc9U2C1zT78vWCfBYOu+DUw0iWETvFD1B/3PJ/8+Xk9GKsM1h32l4UAgSaOAkyV97NkZX24afRxoH1/xgxIdHuqB8i1pwR4Y9+tTAZIYYfyJC3KBz3PoTEmYyNDGdAI4EmRuM1PlMXFo0b///Rv9Pd025Njfa2E8StIMGIG8K+/GWCF+xMtroG8M/IQ7+n8arz846Ie3J+f8/X1gnAOgcuT7zGjkgV4tcPohx8R1gOId67ji056sw9MkaRX8EmrgClwNmPjEkX//lpQf/C+0AuYq8oNmEl7gFyoOEZKkTw992PruGva1JxUwJ9lf8kNFO/a152yAOLjUcH7Sb8x+1vp2Z+6xviJwwCRpuOl7bxGSHJv6+PBQgxhjqMffaSfgv3H/Jkr8+N/uLfHaR9y0TT2+eJD/giRdAH7PjYOQeILvmQ6sh4emnF9Cccd3a29lRntM0m+9jtNOSPpcHMd/FEXRUUmfjaLoH0p6XtK33RR+Q9JnXic7Lug1pRHFcXwkiqLPSToqqSXpL7+Z4ogkJRJS8bIU5CJkam4DG1tJuljzp94rD2pWAtJHZHt6ZtW/v0gK7ZJOrPmG8cBFnzD7ynz9ahM2ZhgbZyu8CDw775m+gwUPtOGRqhGQM6pF/pln4fosYB8lab3jp+AjgGlcCChE3DnsX0ZYtc8t/Q5e/4FeJ2nR0/8WWIhL0s9n/hfsv7xlAvKE1H/0vGMSIaGq69fdMEWSkhDojuX9V41UWOJqDIbPb09PWt+7NvjYkaSzgMm7A3gDP91gG+SQ5fblLRUARNOhbLXpC/snN/wt67sEDoiS9K3671nfx/Oe1ToBrpySdB881EMXPfu8pcibZTHtXAyakV9aY+ztrs4u//4FMPco8tbxEshYThR8PVtp8dpZSPr8PQ1Oubc6HFi3DjB29dVVD1SfaVyZlJgkDUKm9XR0yPruTPM8I8WkbaCQVgskPm4a9Ek9B9W4xwNmVSORrxOkEJJP+kMdVsDBM+P3NAlY8lfqD+L112f9QH+66aoV31diA7GXlnw/udTwvlLKs6wSc1lqEEC9vMS/f1svuOpC1bkZIO7Roa4BbpkJiBHod0rSxqSv04cXfZx8v8f4r30uHAo25P27Tkxz5WQnrEmNjj+/U4GqMZnlkgIaBd+SdGzV1w6A3essBNVkviZJnznte1Qo7nqz9laqjrwkyYQt4zg+pdfw2pf31yT9UOCzfkXSr1zpd0dystH1A/4WG4GTye+c/FXrO1j8lPWtiQf8Zy65Pu9f2vjL1vf5FSepSNJSw7O324BRfdvAlbOHNwFBciag8PBk27PKOxKeAXi24uW70MKcBtz8tFy6qAg6vJJ0qO2kmN1tLyvenOfvP7Pu75+sYDdCSVGSKi1fmU9q0vqyaYYj0Sb68Bn/rdmA5OLWgmeGrgUpvGOg8DEFVvGSVJNvFjeA6kgOJO8k6TTEej84NGF9qYhLbdM1fyfXFIBQlOQMTgZ2q2Tkzzl0+Huk9Q3r+9EBz1STCuhnLvFytHPA5SkrkEIhV05JWoag7HTF5/NEINAm4uk3Lvl7flcvE/9W4V7LADMIKTZtSHtQ+2zF4TwH+9gF8ULFx/T5NQ/gLlU9mTGa57TUhqxvzBFUOSh4laTVyCEVafnOHJKLfXnF194iPKeXA2K+ROiaBnm/Y+vuwClJG3t+2PpQii/259fEY5q0CuvhMxXPyO7rY73uJxZ/zfq+f+BvWF8xIEJ0OuHa4D0xKamwBv+5NR9nedDgfx4OZJL0asHX+V5YJr8yz2tvGbLfYwWHHeZBR/vJ2ufxMz/U9yPWtx2cFS+ucSWeEnwjkNE+U2HY2t6Sz7MB0JbfCmu8JPWm/Z2cXfPEwWbYC1//BOtZbvr7uxUUyMqBBNcUxFKUYPxuresM2W3d1m3d1m3d1m3d1m3d9ha0PxUy5J92601Jbx9546klBtzyOcCDStI7+rzMX074yWZrwB5tT86z1wQdfmeGSQ2UGbm47n19QCaTpKOX/MS5o8+PYc8u8sn0vpy7li0CQXQLlBpHe/iZTMMh9Nbk7db3dOdpvH527Yj1fWiD4wcvBrBWY/BTyV3t+/sduymxQUSn5mXJFsiTSdJZkIMiOTLCj0nS84teFnzniD/Uo1XPNG6F0rcktYA38MKCV0kIYyy95sB6efvsnOvu7i1uw+tJI5dgTyFhxV0gkTaY9VJfCFE3OeuYUGqvQkYy1HZ2/DOXOz4migGJK/qtNSifTgdgX4RGu5jwrNq1CXc1laTTdeeiFDM+z4+J5+mWpOu4PzPnRjIfG2M40KFVH9P1pq+935rzCX0nq9spCyX9w8ue5W+LU1WZhH/XXMereWcjJ7hJ0pB87u7o9e+arvGYINL34XXX970x51VHibPSxBl6N+Cxlxq8nk0CP2esz3XEW+JM4T39P2d932p+yfo21fg33ZPzikwWKlzfXJvE68+BOc9409fJ8TyvHqdAcrQE0KMdaZbCq7X9/Q92/PtpTL6jx2GMkjTT9M3v8KKvE4UUuw+Tjvs9o/792/q4kn4EYDZ1QA3UAxCpYsYz2rtKXDmjRtjpWTAruxZcPUOyvu8b9WrsEwscN71ZuyoD7VgOCyGS1aGFgDNjxgfnZMM3oG0RAAXFKgmLUJacavEg2p71hfkAMNJDOtw3lHxyUKBPwackLTf8WT1Ydc3i21OuF06lZ0nal3GWOpmDjLU5+FnOvYm/6Xc0Ii1KbI6yB+DgoaDuqQUwZ8l6Ca7SYGvpr1zwVWxvv18fchv9jVkvF15bdJjC3h5/qdNVDhTXgdB0tO1winck2B0uDZCSTwx7AHchQNIm6PSJCmDiQEdZkrJACEwAdITcwSRptOOb4DHAE52SY193D/wgfuaXFv6p9f3UJg8qSd1DYnOaV5c92NnZx8S/gYw/q7GOKw+Q4YckpQQqAWu+gf+FAXdGlNi041OjnnjYV+RBUUx5Sf7VVX9/GRg8IWtnMjHaCUToiwHc/RlQfsglfPG4pcCayYQ9LaT8u0IW7M8u+JguQ5l8pIeJgzM1n//kS1CDBE82wdCJ65OeZDjc8vssAkZXkpYTkBBIHLS+J1f9QCNJd5cYenR5uynLgGTaD4l3caDMY+pi1cfP1LqP/SdbbJe+Tw4ToQPZMx1XPLor7QpeknSo46TtHel3WF/IGGkFOC+ooz3HPKrZ+pXp5S/A30nSLYM+96/r9333EqiGvPb9PlYJC3+i4hChV5neoZ/a6eP0gzleu/6eI2H/pF2VgXazE1lg/feO/0P7uz1lhIRrO8g8rSd8dB5fZpwlWTaT6QBtapK0F8D21/f7KXKmygOODSLIdYsHfKXp9zocO6P5eNMzOHMRE3LuSvsiOtf0DWBjgol3JyGrRC20WZEk0EYgVTy3yJvVDnB2JMnIgYhVV947RkG1/92FdX4n7817UE248yT8zvE8/6ZeCEy2Zh1TSXhOSVpp0GYNQVFAzoFUEp4BIu7bRxhTWIXnR6TjTSAxFWoZsOZeaftmPxozSYtwpnT2OwtSaJJ0ADbbYVBMClVuSE2EVFc+P/+P8fq7+3/W+kagSpALvNP3QqzZB0HlcGCzGunx/k1wePwvk77GLgXwtHR2na35PT0du/27JL0nd4/1Ee6eEgeSNAJSjo/O+f33EmNd0mzV73VvyZ9JT+CdkLziAqy91M6BsYokvT3tlhjzzTPWNxqxPF8+9jGVgtrT480v4vUTq57pTsLha2P+yhUuqG3sYdJus+PB2ufPe1C4VVw5OgVOyTekvfK3JTKam46IjfL2xr7H0pgIjTNKaBxe8PXohhJntA8v+5h8CtR1SPJPkp4GKT7CXf8xCENI0qGW4/Y/OuTk7hfn/Z1SzCax3fx4gX//m7UuRrvbuq3buq3buq3buq3buu0taFdlRlvysvRHh3/J/uZE09nwklQHXNSNOc9UPlDjDMjbGy7z9HDTGeHv6+ES0I0lT0FsK3sJ4zdf5VLlnj7PgJBm8SskuyHpsI5Z38G0Y5dfbJ2yvokOY5xnG1eWQVlt8z3tS3gJjBpZ3UtcviVG9IYcn2yrkKl9rDppfYMdNgIpgJoIVRl2cVUOrWxJeWAesuyhTNtjbR+T70i76sZsi2uNWfmzGkh7puo6ouOLMY1pwBQ+MOOwLUkaSBL+0F/00wus0JGP/P4rbR8TtyfdnCSUET7f7397b8NtzWeSASWYtmeQbgGW/LHVgA53zdeuWuxzarjo2S9JKiU9K0XY1+EspwT702C6AZCCMxWuUoyDysEG6Ds45OMsZKIDhRctAB76QNvfncSqM83YO5cCS9wU+AXQ2CfOhSS9b8y/6zyoITy3yPNsR5+/0ymASZQyfn1fnaF8lCmdX3d+xqOJSbz+Q32f9Osbvu8tVV7G65fAtGUNJGSLTQbupyH7vbsfYGegWiFxhbkJSiJ/OMXw0M2ghkLw1FdqvkYfzHl1U5KagIcnacmRQHE4D5rhhHsm2JMkLTd9PR7pIR1rnqg7QSGFqpavttx/QpKKYAr36KzPqTVQ1+lpsFoYmWC9b+zPkLzfn7W2occnzMY8B6q/vejlqmszH7C+HVXHKEuM890befA9X+egsgcc/1ogEj+S482OsK9rgP28foBl047N+yZWAPDzeMOfH8mrSdJU5KYnG8EEZzLp5UdJujnlJSAqXxN0QJLGYMIfXvGFYTDD1/+D81+3vjKY86QDU6oCgfpz8/5dhRQ/vyGAxLy84ov9nj4wx1idwc8cS15nfYdiP2TtTjBMghpJwdEhT2LZtZPgDEhmUZK0O+cb269fcIjYWOlOvP6OpBsOVdq+Wa1DH0FEJCkN4/8bDXcQ3S8O6ohjMAzP6chKQEMfZNf6gMg9EE3g9bWOj0nCnhJ0QZJeWfE15ciSr1OTNYbO3Fr2De/2Qf/94z3wniCglxhOdRFO3u2YD9mPNV+0vomOzwkyKpOkXaA5noc1fhhgM5KUgr+tw34wB3KZkjQEnKHtoJv3yILzS+4oMQ8JhoTuAJLemYQH35J0pOXr/LaEB587Blge8FTsn1uOnXNRASy6xBCxxYY/p6+v8TP9+Fa/fiDt33VdH2PUXwXS70k5nnso79CTOhycJak39rX/dNXn2Z5+vqd8yu+fOCMvrzCZ8h3DDp2ZBjz1Rjg4S9JSw9eOJxf8+o9vYHL/abAmIL2K/rQ/p4dnGA7SAojQHCS9vlu7KgPtRCRdHldTBmGuxierD+Zdx/rcmi/2qQDypgpWqjnQkZ6M2Mp0pelEkxXAStHCIEnltPefApIZuUZJ0s7Iv38anNyWIs8Uno/ZbXN66XHrGwLm+eY2k1eWQLmBgrqFBi9Cr674hIXLtQZZHUl6Z8YZ+dMNNh250nbbsN8AZb4l6Q/OgRFI3oOdL649b31zTWZp3JNxnONUx9UMShkOIMgI5lzF03ovrXGmbiznxgfrkJbcEbGFOhFH8zkfP2sNPmg0ICubA/JXAg4KNTBQkqR00teErXKFhK8u/TO8/oayEycrYKwUcjGke31eTmTe1vZDliQtRz6mr897VnAW3BYl6aF5Hz8TGQ+eO6B6ITGZ8os1n5PvHAWMdCCjvQBZyc8uf9n6PtzrJiqStKHiY2og5evJNxr+mZJ0Q+1+69sDijnzAZLXchMOn8CveKp2Gq+/CIpNNyZcHWYLvKcVyIhK0hNV/65a0sdOK+Y0/42ZCevrg1PmWMx670RcPR15ppMInhLPE6qGhtw2HwXVG2rTgK+XpC15D/Yq667aMgVeE6c7TLAcTXo1eaDjccNaoOpLB9UMKPZEAf+RfAo4S1A1Hgrp3ff6PjGY8+dUzPKYen7O95Njqz5Pri16jJCD6qgkQYFQKXA1/W7tqgy0qVGWN5A8xP6LHc+qXZNhh6ST4HCVj31ijsTMnD4LFqPfnPY3PhAg/pVB4+uJGb/+veM8YYppIF+BW2aP/AbSCR6wpNKQgqxMyBzleOQwlWthYSFbcIknDEkWhmzpi7AJ/O7sv7K+20s/hdd3Ys8CvHuDqxlk0xzATdccknJq1e//+sgDqOF+rrwcqwDzP+XfEyIz9sKBbqrm93RLP2fFnlvwTWw45885ZFdOFaFi1oPyDQmvhkjSM2A5/Y70PdbXm/bvn6aaphh60ieHSXx0yKFskvTQoh8KBrNuA3ygxONkBWSqUnDIvpTg8ut2TVhfH7znNnnVSxpM+Di/CE525xJeOZGk3qarMTTaviacXPPERSZgS08B1KakB3DHA26dZIG+Cu85BG8rZ/y+NuR87L66ysHbDJDWz675Z97bxzKa1dY11ke/lQiSp8FqXpLqCXBmrB21vusgQRFq58GsaCDLh/xtRX//M8v+nr7VdNUOSXpndJ/1VWFKTdc5KPzytFc439vjCbosZM4lnj9kS5+NfD5tjZyIKkl9MezHcPCnZIbEB9I7hnyPmK8xuf4LUx7UPz7nwfNPbmfBg81gZJOGQL+vhwPtcej/IiD0tgBBth+qEZJ0TcHXeaqQfbfWJUN2W7d1W7d1W7d1W7d1W7e9Be2qzGivNWM9eumNGYepjmcPD/Z6pkhi2bZK5CezhSZjlV6o/Dfra7bcxvfuoktpSSyRloWTaRngMJJ0HuBGe8t+iiuC5akkben1E2ul5RmEVsezDS+3/TlLUj7lp9gWoNnrMWcKq/KTNWUg+gPPZAkYURWA+Dy84lqkkrRfLrN0b/9ftb4EEBwlzqj3Zv35lwLSSe+BLMJc2fsOLXtfgHuiB6qOcxyK/XeO56/8PB5DpmY4UHmZAilDSp7Te5KkFOChN2mf9fV0+AbmI39WFyGDty3lDNUQnOarVTfd+GDB+R3zdS4p78o4TONfXvSs3L/acQ9ef3zNx8+BpD+T5zsv4fWLHb/+yLLPHZL8k7jylE+4DCpl6iSJECVnOy4jOrju/A7CIktMhN6T8uv/29K/x+vvyru19WTCS/obY88cS9IQaJunIfs+H4ACkgnR2XXHc+8vc0a8BaX+xYSv07uTzrlJtVjCdhSIZ8fXf9/6xnI/gNdP1/3+j4AJ0niN5fHelvFqcA4yuu/Ps+DANGiLRwDvJK8DSbqw6lnll0DesC2e5/mmP1eyZe/vbLe+B9Z4nO7odyL77Rl+ftTWmj5OcgAHqbW5aj3e4+P8QNn/9hJ4ikjSc4v++wlK9uPbmVs2V/c1meClv3j6D6xvd8L5OpL013f6e/ofyWhflYF2Sx0ttt84kSfSDvOYoUhN0kLLF4FDy5+xvlT5x/D6/QVnBZ9sPWZ9O0GbWWLHwBKstvkUv/BpKLN0ogAAIABJREFUqHbt6PVJ0A4EhRSYDed8qLxYcTzmYIrLlzcAoW6y44ePUKtCAP/Nim/q+xuOLw+1waz/pptrjpOTGFM6lPaF/WyLDxqljC/YL837mLwuAF0ZBu3OZSCPjANB9nzAAXUknrC+DiwioWWlBhhpUh0J4YlLsF4ug2nCvjIvrBUoge5N+AYc8ADS2KoTEvszvjCvgegukYMlaU/iLusjhQMiY0nSSI/3vxfwtHMBDfyNOXAxBIjNjjjggJrwOU2axyHoyO7YA4NHWn74uCZ5K16/DpjeW/o8AJyDtftL64/iZ36yfLf1DUD0/ba8K2FIUinlv39zy9e5/oDW/wkg1C2AQkNIyeUUXL8572tPaJ4hOT/lEKtXWk5Y355keGMR5skHy79ofYOwb0hSB/hRG2DsnA0cCDeu+dpJRnME+ZOkMzB++mA9Hw9AsT+Q9P1sCoLCM3Um/fZH/sFtWHubkHj6QNGdqyXpyyvuwHpT2WFzS7DGStIW0Hs/tuRJhptGfY2QpDOn/fA6CEt3KO4gt9K7wVjzv09xoA9IUGzDaT987O9hGPDRFb/XzXlO/LxZuyoD7bX2rL65+u/e0Pezm/+a/V0lQPRYBUzgJ0f+tvWFiHfnIje4uDPtWa1ylgcceNvoyAqI4fdyoE4LLmHUz6xzVo4IMPOQkh2KfBKWO3xPGQC+nwK79VqTFSZuzrg74c1FPwGfXePDE51s52r+tzNtxiSOpfxkO9V0Muh0gglJCXmm8ukFf/6nKiwPeGPJT0+rwAg/VfG+0MI6kfLF5VLTKzenVq7c8KUFARhZ3UsSmRO+vOLf/75xzirNgUhDDLcaclAlTGo564s4BZVkWCKx6gxh4UNBWQ+YSSyu+IM6De5mkpSCTOlXV3/d+rYVPXiXpFzsz7on8t9EhwdJuglk936o8CHrqwUIVbQJXwAXvjlIJnykzwPq1z7T+46s+NwtJjhLn4IBNJ7xde6J1gt4/XjdD++jPX5Tgxleuz6/4OP0nRt8/JwL+GgQoY9G72rkiY/zbX4mfVUfJ3TIprEvsTRoWZ4lnwysx09FLq17bdsPb8cDGPPhyPcOcjWud3jt2wSxHrkHFyOupo3k/FmRg2cdgk8ioUtcNf8yVBk+VuIqw/Ze//44EBRTKwLO+ZZBX89rsG9J0nDGnwntcQcHeJ7MAkGYuGkjbT8QhBytf/nVf2R9v3Mj82verF2VgXZ/ckT39H/6DX1UuierdEmav0L5lvWYI4hx+TFsGbQbE1C6lqQiwB/uGPJALxEoYSwDTGK27oFuyF2OkgCn207S6gB54/ml38TP/MjA37S+uRVXQ8hCSTDU0EcKiGsSb7bbQOLq1DJrLi8BdGZr1g8azcYEXr8AZWFQnNThRZ7w5yq+sW6Hqu5MQEmH2mLLD4obsx5APN7kAGIF9Ew/0ucHokfn+fBUjTxS7gXi4LFl/k2UUX+84veUhYysJN1e8kPN80seGMwmfOyPd1gadCTt7+mxlivuXBtz5YQaVVN+Y87Ln5J0NxzoJ4oegIbUfaYT7i1A2fexAJxoV6+viQMQQJKSisS6vVSqvVT16xuB0gU5m5JiVOhAttry31RIgrOjmPQbuq/L20LAQv6947720H72xCoTXK9JOkTyibaPyVrHs6+35xx2JEn/edZ15G8vOhH8piI/E1IMIr32LU3WjKagtBdI/PUm79GLoK7z9WWfU/ONT+D15Fa7Ie19BEWTpBH5mpSAAbgYeYV0rc2H7Lf3/4z10dqxGTLXktQIVFMvb5MLLA94+4iLQAwOeKAdBUjL2XOejCK7dZLGlKRTFX//O/u9706QhX1ylu/pEyN/y/pyge9/s9YlQ3Zbt3Vbt3Vbt3Vbt3Vbt70F7arMaOeSCe24TP7n2LKfgAuAvfv29Ze3c3XPdJ5NnMDrB2PHv40nvEwfBYw8UpDBacHfzgdwmtQoe/3kkp9AJekgZCH6Yk+fDiT9tDnY//P4madix//d2f9XrK8ckAckklVP0kuND9Yn8fr7ihPWdwEwdT0gwyixZvgY4OxuLDD0gzJ1dQDD9wQ0J4+tkPSRf38BZnQooTaZ8Gc6LMfujnYm8Ppbcy4buFT3Z3rHALtuHV/2bBPNvQLIy0nSInxXB+ocZTGcibgIDy+7ZCONU3Jhe635mnJn2s2qSGtfkl4Gt9ZS2rOnf67n/2bvvaMku67z3u9WdXV1d3V3dc7d05PzDDAzwCATiQkkwSCKEINIik8iFSyHp2dL1pIlL1uWFby8bCvQ4Vk2/SQqkCLFICYAFIicBpjBDGYwARN7Oueu7uruCvf9gaHMme93gOGzoWXPq7MWFoCz+ta999xz9tln729/Hwt5fHnh69Z3T9pV9Nppokg6MOPZiy1pj34HLsf0LfWNAhxEkvIwWesBTnN20XESrdUc6UtA0Wx7tduuLBHrSzq84FHFcagZOZl/GK/fmvyE9RHt27++8Cpe/64mxwMvQKB2IMG25xuLf2x9d4O4zFLkP5pNsz16G9h5EiUbW+LoJ63z/W3+7VcCEKPZVf9+tMc9V3IbJ0k3VrntWsw45d/L8TN4/bYVh159c+mL1vfpDh9nSRpbcjt1CARrumNX5swG7Nmy3HZ0JP1vhwMQo3aoWVqb8azjxAqvs40dDl0Zn/L7t7cE4JlZgN4AYcDpeS7QJez0g8M+f/Y0u+0eAQIISeqFAs/aZAAL+TrtmnS0Y7lzQdzQlH6TGH9IKfXW0i68noopB4H3s70mxPvqfavgFRyfY4x4XdI3jK/Ou5DJnioWAyDoygos4hKk5PPwd5KUhopwMgLNsNgl6WDeCzAIqnZLHRdDgl1XT8bHaXmencLJkqfAHlx2LtWf67wXr28G5oE/ueCQivoApo+cCDLWVExHrAuStENeFPLg8nes7111LORB2OU6KNo9DRhjSdrf7g7kt0bhQFPHhnWy6DvrGiiGrA3AiUg0LlM76L8JEKFcgY0HwRSonRIroN5T507VBr+9vjbEIkAfbXY89NAiHWj4uWZA3ERpF1whR0+Snpvw9X9E/pv7q9h2Ev50HvoaALoRgmhMlYALN4BzpUY42zJIsDekGU5E70Sc37fXsdz5SzMBjN8VjVRJJak66ZCGJRAAIxGXUKNizOVFD9B8ccYhJpL0K+t/1fpoTAM1t+qEou+XZ/yPb6t2FiVJqoPDWy0UqPZqG15PU21/ytce1VtJ0poGX4A7pvxZc1Ac3FvLwaCvL/219b2tym13S6A2bBxIGO7pdSjdqRneI5+76JBZgqMkA9d31vgDtIGK5Ks5doqpXQfIJYJozQfqmN7S7r7ccgD29nrtmnS0Z0oL+uLc5WIU44tOpv+OemYNodZf747OuUDhXUkgoU6bekAFkOj96C/nSgHVrVbfmWtzfoIP7TWEfaX27UVnYnkgwMQyA5SJ5LxmSuBVSFoTO1aQqH9mV/mbfBeo7D7c4geNPW1cIPr5Cceu7o9coOIEUKFJ0vWtEMFpcsrD0OGPjOPQot+L5LJJcU2S/mrhD63vgZaf8vvkOQSyNuMb09GcG+brGtmwkk96W5t//1cDjjrhbDtr+ftRowKYW9JeKFQHWQYqrpVYdONE7AWyd9cz7RYpFv7dWo9I393FBaIQEFemyp81UPujjS2OiW2Cdw0VQ5JTeXfabc/EMnvqT6w8aH2k1Hu+5NGzBcCzStIrs1+yvvc1e3H8COmKSyqC9S1A9DeTYDzy14Hudd3CA9Y3Duq7knRYTjk6ufiK9d1W91G8flPK7dQUFD7Oy2kUqxdYQbQu6a5DdeRr7y1ZprClLebCkq+zsTxP1A2N/rfTBXfKdgcoD3/nrB8A7mj8WevbUs/7ET1/Xy1IoOd4j54r+7PmEh7RbY19j1gKZMP6ky72tKbev9PmBranYyu+zmtrfJ6TiIwkzRf9XrWAZz44y47ysXmfPzfDvvnyLPsneSj6pQAbIQmIblOSylAM+pMnHsG/fb1WwWhXWqVVWqVVWqVVWqVVWqW9Ce2ajGg3RPW6s/rWy/oWEvvt70KpMuIIJajas+Xv4fXvr3esVwGgHyGKK4o2TeT9+kfm/g1ef2eHp+UO5R0/96EuTnVSy4Dc+vKKV7mH0rckRDOUcExi/Sqn6ih9++SqZym6Sn14/fUpFxgg2rsQb+relKf0Xy74+9+e5vs/NOwpqFs6/J1C+DmCDk2D6MkayLy8NM8UWxQBIyGJmgSbCcp8EMYelpMk6fQCcGY3ed/RWY6g0HNRpDUTCHJ/a9bhG7urHY98cMmzGetTjIc9HztDybGZP7e+61NezS5JH27y6PUzEx4Ve18/v9Tsqhsqkqo/usIc9mtAdKURMPKhVOtwyeFQHYAdDklTb4xusr7HVw9bX3fs36kkhhhFEGmlefJimWXh18n5nVeAMacUwO3fDJAColANwY76oG6irsEjneWA7T1ReNT67gOth3MrPn4FYJaSWIK+PuHjXIrZdhDryGje94hQ5uh7oz7+BJ0JJWd/ptcp2sjGhhg6SBSOkjxdtYxn3lnjtj9f8szf9+aHrO9okbH8d1e76MowZGn2NPM3bQHI6PSC2/PNwC4iSUfHnDXk0JxvqHd3MLPXVy76/Jte9Tm1voG/yQTUrBH0aByyJDWB2qizSx59/+VeFwaSpL8/xzz+0jXqaC/FKzpQuFy5qy/ut7/b0sCFd1SQQ85vbsWdV0laBo7Unjo3GJTqkBijfT7vMIubmpxOSZJOzPkP7K517sgWwA1LXIBCuLDqJV9YZ1eZyu2MHCPeHPk3ORud5+uXnDf1E22fsr5H8p5SlaRtaXe0M4DTO5PjMdmYBSM+62Ma2Be0u8XHj4peQ8qWBJPZAoovVKR2LscORH/ZxQzSUMzXW8ebBbUawM42BIoZzwDQtwz8uhuAhlGScoA+IKd+JqBEtjnBh6IrWyFyR3VilXGzJ1YdJ0nt6QILcXww4zjNA7Eb8LeWmAeb2uHIaTR3i+kFS1BMSnjWxydZiGMu4Q58sex2YrIAJOiSOpK+2daXHbtcAHheCuaOJL2nyeELS4Db3ipfDxLjuTdHPneOB+A46cgnJdme3a28HadmHJKyOeFjeiRmer+5JV//CXAg2wDLvVBiOAuBF2ZKvu+EuMkpyDEOh/zWNEOkHlt1Kr6GarfHfUXmVs8BBW53xm081GtLkjqAGpj0AiYD0BcS5qLi7utrnFjhOdB/kKSxVR+/bNJt90SAvnhTg1//awcdOvPZu7iY8YaNPv82TIIuQYBG8KZWnyvDy0CjmWJ7TgJoQwBHWtfo6/HMAsNx5gpQnB8QCny9dk062g2JGr0lczkGkpTEzuXYiFBB3hRM7h9r/jhe//lpx77+6hW83pIEgarXnmvB7zVQ6wYnlWAjNA74R8Lp0iSSpKfH/f5UJU7SxFsauCK6MXer9T049/vW99F2Zi0ZhAgWCf4MTT+P11dnPCqUCwgWUSM4/qGiV7RPTHOW4MfXegQjHcCFUdvWCEIe4KuQWNHmmIteTyQ8I7A34Ti/lgDzAEXlihAVagso3k0U/fB4BGR49zH0FSWrx2FMQgIP6xp9nRMTSmPZN5sTkR8cJalUZptyZVsqc1SI2krJndqjAZziLDgQbfK1cxHwuJJ0vuTvdXuVR2TrE3z4qoV1ugQFKlsb2U70QuzjN85/wfrW1rg9eWfTIP7muZxvomOrHpJcAGYhSXpx7vPW9+kex3h3iO9PmR+K6IZw7+1AuA+fWcmAA7W16UPWtwg430LZf7QfcMeSdGzZi9M3VPtCPVbgYNRXR1xv4ef6/4n1UWG+JO1KubT6xeik9YUyrI+s+uH1fogIzwaqGSnSTrcaWuGi5Z1piN4W3HZshgDX4RGvjZKk1uzft76/mP4t6+uuc/E9SdrT4rbvxwbd0T03zjU3O/d5Nq+71Z3yUqC2t63D//bpE37QaKpmG1udJIYQH+d8iZxn3uMowDoJmiRv1K5JR3u5XNKphcsnONE5HY45BfPeWnfKXljxSOv+iBkuPtLikVZahHQCk6QpYEmgiPb+Vk6VfjkHBUUlLyh6bpKNyMtlH5d3N3rx1sQqbQBs2LpACWt/7IWTITaHUwAz2S0vkMwCFVmo0bOGUo1/MOrG7S3pH7W+5UD6mOj9Rpd9/Hpq+P07a9y4lOUT6NWcL+mWFE+0ueUL1pcEyr5QA+QLVpm3pDgsROqIxJoyE4ApjED69tGcr9M76nlOkGOzXA7R9l3etsR7sH+m1mEGM3UOPcmKoSfV8Ewbkk4PGIIZvFx0OMygfLN6eMmdR0lqq/N1PgP7Wl+GI5UDcPZfhbnfFIhKZap8Z/ulfoc4nZyH9G9Ag3weHJh1de7oH1jmYsrB7D3WNwxFr5sDBv3wAhQIV7mzchwykRLPiZWSv3+rmEqvR04tO1PyE+mpyKkd79Vt+JtDOmZ9AyU//KxNgIa2pHcB68iajNu+EL3f1gw4e4sO71skFgJJNyYdokROdcgB+y5kCRugcHFrrWceJIazdQOcZAZ0xUn8TZKWwHb9X4PuVG9t5DGZBdq+Pe1+oDo6xXLlPa/689dm3PZHAaG9qrT37+l327lylYKCkqRZ95EmAWLyLLAlSdKvX+/Of32aI6T/1M95f9MqxZCVVmmVVmmVVmmVVmmVVmlvQrsmI9qZZFL7Wi8PrRCly5npwGkTRuWDbYPWF6LHI6zWk+OeL9nbymk5Ou22Fal4IoBVqnLs80C9n6lIyEGSErOOieyE6CVhD5cDuPN64FemAkui/JOkG9KeZZgEufEQxdYYQIdIrv0PR34dr//xTo8MEI/0fCGAsQbJaEopPzbGUa139PpY7Wj0kO7EiocUu6E+QJJuhywHRURLcxwRJnnfFoBdbQkUr7y1x6OihN08FqBMbAQ4VEfsa/qR3Fm8/s76Qes7ED9mffuAxpHozSTpXOwY5X0Jh+48VvQCNUlqSDn2d1O1v1MADozR65myz5P6tPONS1IehFgemvWCrH21fh+JswRDi1TzwnNiDLI8XVDzsgCZr+El/s0dQPEGAWHNLDPGOVcc9b6ER0/noXBLkrbVe6SZagm+NPPv8foPNHstTgQZDeK2lhhOloFs5JqkR6SPLjPEiOhWqzGjwN+kBaKXVMoRmCbqgsxXOukR5UCSQ2cBk3uh6NChJFDeSVKvfJ3WQTHowRVfO5JUjv369YAd/tykQyHf28j1FWeguJygD9kUZ03/atjnz68Out+yucx1WM8Cj/Y3hn1M7uvhDGdPnWdZerL+TS7MMOViQ7X/7skFt9PfmfIo+Z3NHfibVUBPSJR/b9SuSUd7pRwHwe0/2NIxp/rO5XzCrgVngfiuJWnxKrG/6QCPNrm/PeD9zwaKvAZK6/xvwYEJFWMS/owwgd11voguLHJaZbXsz09wnnSSDx81UDz0hbmvWd97Mu/G6/Ows1JasafJnSqJsccHi64MWiPGzXcvumNCMIm2NM/JvxpyI9S9wf+2BuZUMWAYpkvugL2tyefOQmA+90Lx0KEpT8FRQYsk7cpC+hrECBLAmSvxgXZro8+fnlU+KCzC/F8tOh56POUbS7rI0InByMePVBhbc4N4PW2MVKQV4sGuBjaPVpiT96Ud4ypJfzH3J9a3v9GdghD29ZvDnmqlA1nHMtP7LMM6nYT5s6fV+4jFRpKaYUk9A6niu9POTCVJr8SePh+JLlpff8md71CjouebMsyDvVDwiV6Ao1Yy4jlJcLzx2OEsN9Q4nGlhheE0VXCviVX/pjuzbM9PQS0t7VGsIME82sSOQ1h4SXq27Afdu6rvsj7CsodaB3D4V69wzc7WJn/+i0v+rDenHMoXEsGhonXa40PFkJuz4CMs+W9eWGDIajGG/QyKRkP7AbVDM36v4/O8n21uhAJTmFOTsHbnVhnK9+qcO/WH565eMOf77Zp0tKsTkdbUX+4sEkNBWw1j2s4suAMwAyfblTLP+A7AI7+l041QKCpF/VAkr5lVPhk+s/pl/9sFNyLZMr//u3t8clPx1TyseGI4kKR1BRY+uLLlo0CFKLSdiTutb1M2hNP07zcFEfF8novURmJ3SpvkkcbGKJSl8OeaXAYltMDGclBPWd9z0848MQSsKbWBVU4YaXKqH847dlOSPp5xnHK22m+2WORv0gpYt1yRxFFCFGF0UKHCM77/8Zw7hXelXdqcmBfokCjxxtwOm83bEu6Qh9p1Tf6bIxD5fa35JkZlE6FD9s1pp30j0pffHuLMzwdbnTbt4ZWvWt/ticCBOPaMzn8a9oKuf7j26gvnCGO+CrY7BRFJSVpX7ZjUP5n4j9bX0fh38Pp+KHw7MuN7TEjY6akFj6iPR2etb12KDwpnVvyguDPjtoui7CNArShJtSkfky55VDCgAWQ1VJLUVAUZriLvBwenPPvwzqwfdEIiRHenfT+kw+OtnRz4mIVCbKr5ObjkhzRJ6lzyjNLIku/n62HxnYfiXkl6teDZhxvr/T5/ep6Lfu/q8Hn68rhniG9YywWu3znumfRdWV/Ps7AXS1IeFBcpwPfKHDMWlSFDTnVEvfNOYUoZIonFdQJlaK/brlFH2/mQz1L1aIB650Lkhq2+5JOwFqjQJGkaq1KvniKtFdg0vjfhxvL5Vd/AJFa3a4BNZKLMMI0xmMc7mgF6A2mZW5bZ2FNFO0nFjwZO28cTh6zvYy2e6mxM8TctQVSXpJ3XVXmRjCR1ptyBfqnoxr41wDwAzEU6B+ckgkNI0vXLXhD3xzNPWt+eaJ/1hRxdanNweLqnlgsk6aBCUe4ukEuWWMq2u9Y31nNL7AARm0QTQJRCDlgKoE/EOFSGzBExQUhSNWzAwNql+gDlIVF7TlKav44P2ZMrPlbz4Gi+CNzgklQb+86UA2nq1gaeEwSneketH14mC+xAnUl4lqiv6U7rI2ejL8PfhEZ6NPIDdQR0pZJUA3Zqf/bT1nchchYiSWopQtF26uqjepuqPdq2BZzaUIFsV9KjclOg1JuHQ25bmikPm8p+//HIncqWlQDECGCLxEI0leDAxwY5EQGp6tYGihkJUrIJKFxJ/0KSBjNu00jZMsS3n4OU1HzRF2qh7POEbJwkHV98xPpuSfyY9d3ZwdCLVmCHuph3v2VfwNG8rc9tyuNDDichGkFJenTC7cwNLf637+1nv+sIIFp6av2dCMo1ssTFkOsb/P0Dpvt1W6UYstIqrdIqrdIqrdIqrdIq7U1o12REO5WI1Vt7ecTn/KKfDPvrOQKyOOun8D5I4QwtclRpruTRmgXAdBJGVOJizImEc1T21Lq4hSQloIJkEcQExpOcAhrKgUJY2cdqZMl/c00DT6lHZv202weFa6EUTgsUn1Dwl1J6Ehejbmty6MRbWxhTR9Gi3qJToYVSlUsQVSaKrlAxaTrh439P9c3WR2MSolw8m3c4TF/GT/shGkqKIF1c9HcaC/Cm1gAef0O9PxPhziWpu85f9vicRyZuaOMXWI19/R5f8rVbinyedxQ5+jkFap2Ukk4DL70kPbriMJ1PJH2ddwMcReLoNUXv+gNFw4eBti276OtkR4JrGQiPTUVyLYFs4HNLJ6wvBUIqeYDovDTLUXLC7b+1ye0JiUJJ0lMF/ybXJXZZ37Ozn8Pr04BT3iUvOCdqSkm6r9mjt1+bcbrTdQUWYCqAKu93Fj5rfTUQOScRGEnqBm52Uss8UeQ9ZjcIscwXfO9YLQboUiOgAoR1FqJ8nARdDCI3+NLCt/D6z7R7IfkFmD+h+1MhfAGoYcnGjkNhvyTdlf6A9RE9IBWSSlJPjduuh0bBdh5jWuP37zhrfduaHIxfU8XrjCzK+mYPU69ZZtuRTXmkvqvGbUJrNRStAkREkkBT7YfS3/h+uyYd7ZVypNNXONa7mnzChfgcW9L+IUgIozqwWdbFfv0UpJ+fWmTDekMtqFgmBq3vRNl5kCUpSQwrkbNJDOVZ3GUgDWm5BX8nSsuR2p8kFcFZuVh2hoYUjJ0kFQC73QBcvOdZtEobG91ZIMXCkOoT+G9KgxENnBOw5aEY81tLf4Z/213rQjK3ynHvA/WkWMYP9dKKY/XO5dywDkJ9gSRFYIO/ueDKnPdnnTFGks5DqnUtQE/W1HFa7/cvnrW+61PuwITUOgdr/UBJbBZPlxyisxuYSCSGQz1dBEet5I6aJD3Q7Lj3xyc8pd6e5m+yAClpEqsK8YXPxw6beyb24qEN0Y14PXH5NkAh9PAq40TrINV+E/CIjxV9oW8jbmVJjy0488P+jDulhwtsT2vlGzi9557Gj+H1p4tPW18v6BI0l7hoF5WKwR4WAjVDRTj8XN/wEesjiMrLBf/2krCQqDaGgzOI2Ehc3N4NxXy7knygJTjWyJI/VABloYUiHLJLDgV8ew0XDb8MwP8XYxd72pPgYFgfUIulIrdHjy46OTMd/CWpGQJXfbCeDk7x9TuhGPI9ve74rGnktXv4rMNE/u9Tbqc+vo4PxH0Nvqarq/1Za6E2R5L6gLVkAQ5vtSBs88os+y0PDAKzGTCRSNK/dhfrb9o16WinE7HWZi7/QDQ4oWJEUg6aAOd1IyjLSdLnp11eeXnBsW4p8lTEmyVAH3Vy8WG8vrvOq9czsUcqb0t/EK/PxT5h19e5ER0ChpGzYsO8KeGHhxfKbpi2ilUM16ecuomMbcjRXYJIMZ1MQ5i8RrDYkxBuOFfww4Mk7QKD1wFViovTZ/H6dI1Hrwl7XANO5QRD4nRLvTsb81B9EpK8nYHswa0gdd/H9aGI5z2z6BjhehAxkaT7su6sfGnugPUNrDAd1udG/4X1fab3V6xv++INeD21dvimmZzP3dYath2EKaTI+yvzPKgzq+4AjED0rhiwfsS68sGs13yQ2qPEOOkWMHP9BR8TSdpbcsnsc3B4v5hwB2Rjmb/T9pRnqY6BiMy54rN4fX3KHYg4gsxN0bMBkhTH/re2LjmcAAAgAElEQVTEGkMHb0kqQoayoezjNw92W2Jxl5G8H6goa5cKMHM9v+wF9wMZr28pxexon8t5mqu3w52yUNyiFSgfiUaSIsKSlASM+Ikl30/3tnwSr8+kfP1251ys6rurX8Hrfzrre28JFHi3lbxw70sz/xp/c1/jJ63v2Zx/53VVfHiZgPqOO3s8Ez25yLbnYt5t9wcG3PacyHEheQqUks8A60chwKJFYmkvzvg7EbXkelBelqRC2W3PuZUfnnXkTcNoR1HUH0XRX0dRdDSKopejKPp7l/pboih6MIqik5f+3XypP4qi6N9FUXQqiqKXoija8wO/9YlLf38yiqJPvFnPXGmVVmmVVmmVVmmVVmmV9j+rvZkR7aKkX4jj+IUoihokHYii6EFJn5T0cBzHvxlF0S9J+iVJvyjpnZI2Xvpnv6TPStofRVGLpF+TtE+vkWoeiKLoq3EcM8HnpXZlYPLUop9CmgLE7S/PAsYZIqJ0ApOkH2nydNEMQEeWQIRGkqYgKnU+AmlpiFxLUi72aEGKaL8C0Jk1aT9FjgH1UBkiklmQoZWkRaDtmisCmX8VR7QJpUMUqXtb+JueX/JIG/Ewh4Q0uuBTzUNENwR9AaicCJHxd/pcGEfi+UfR64sgSz4KWPrX7u/Lf24V2AhKHNX6/ITLEO9MelQnIcZuLMNYH5n1Dx3C3R9Y9jVBaX7CjUvSB1pdypgyHw1JoNha5OhhW9rtTBLMLMGOJKkLcJK9aZcLD9WH1ACWPwFxwWEQ1pGknVX3Wh89a1eAM7IOoFc09wPkOkpAVLUNov+Diw5HIq57iWEKF0GY6Ua9C68/m3A8dC52NozrEj52Egt7PT/v15OAlyR117ihaIx9TrwUfw+vX1t8p/UNFz3r2gFMIhS5l6S7aj9sfeMgZPJwkTHOGyOPfs+s+Hs+Pue1SZJ0X7tnGdYDmcaRaV4nBJ3aX+NR5nUBsS3aO14p+fi/s87pMiXpe1P+/Q+v+li11Thl4Vsbfx5/syXldvowzHNaT5J0HgSf0mkfp+pAmmCu4It6oQhMLBmGjkyD4BMt6ZM53mOJXSsL2dhnxv2dSKdEkv56zNfufxl3as83am+aox3H8YikkUv/vRBF0TFJvZLeK+nOS3/2OUmP6DVH+72S/lscx7Gkp6MoaoqiqPvS3z4Yx6/tDJec9XdIcmWFS21uVfrW8OUDNA+k/wP1/MHIqaN98cVFVs26rcoN1rFFN0LrAjzeL8ux07dXOU6RxB0k6eHZP7C+mxv+D+t7JWJ+5P6kwxRGV9x576x2wzhZACUCSVPyxbUj6TzQr0RH8frGktOJERVayFGmv6VFXBtwgGavVoQIDjQSY7zrwAHIBgoP6fbEMfpvz/9L69vVxAeyltgxoTUw+UPQk0G4fgYoqqKI8cTfG/UfXoYD2fZGdyok6bq0Q1/O5h0/GOKbJ3EXasMl4CGuC1HBwfyBbx8S0sim/P13gbLhqwv87FQgemref3O6wEVqb834OqM9aCXg1E4DY+jzOXeWmsWiF721oIALkIpdWb9+LM8OwDwUj/WWvQ6lJcUp4bqSw6GOR+58zyRYMS8Z+wCSKu9wxMqUyRWf5+S8r4sYOjMNgZuqhKf/5yPHyE5HPE9qyj4nySlfl+BnqoYxmQBdgR21TI83nvf51w2IBirOlfhbE2c11QFJ0rfH/Fvfk74ffpNdrOYVh9S0L/6o9RGvfCagSjsEdQ/dESvAUnt13tfPAkD5Bgc4xjme9znRAloJ5wPQEzIpZA+3gTCNJB2d982T9k3a40KBiy9POYf/+1t/Ef/2S1OsLSD9LWG0oygalHS9pGckdV5ywiVpVNL3j6a9kn6wGmXoUl+o/8p7fFrSpyWpLpHV0hVV6VSkFFJwJI7RVuDXzYodgFEw+E/M/Z71Venv4vW3pNzRpcr9E0BQL0n7G37C+iiqlY5Cz++Lo7fGFwdh+hKBwrvuhAscEEa3Pt6G1x8ovWx90zNe+NYAfNcSY/WGwfsmVUxJ+vbSc9a3EWSID8Usrb0v6VGlpyd9Y2tIsqf9XNkLqj6Uvd369md/0n8zZrVKcqCWq/z9T4OjJkkDGTfCJAKTDmR+fnKDG7xXFnxOhop3csBIUAN1DxTllaTDseN8s7ABDlb53A21F+Z9EyokfD2R2JPE3OJ7mv2QOwfc1hIXzjWBEklNgdc+8XsTyUEgKKYTIESSSzgeugy4ZUnKLfnh6+Dq163vp+p+3PraKMUjKY69vwjCTqGDF/XPrXgtSou48G1t2jHSrWBnTgQU94hzmloSmKEk6SIwVt0YORb+yeI3ra+pihkmyoDxJxGdvrLXUUhSU9KdMtpPmgIc+BeB3aka9vhXyv5MkrQj6dhnYh05Fyiuv7fDvymd82g9SqxKTA5gNWDkp4sc+WiGwxOpVbaATock3dzmz/okCNa8u5n1N/at94NiDHjqqpGQrgKwzkC9HH0nSeqv9Q9wcNbnBNVbJXmL0dbmB6yvFxSxJUlM+S7pb8HRjqKoXtJfSPr7cRzP/yB9WxzHcRSi/vghWxzH/1HSf5Sk/tre+KaOy1+NWENCBP+HluDEtuKQiF5I6UnSITDCN2d/1vpyEU/YJogWLEHlX1+Co2rLUH2+HHtUY23ZHVVJ6qnz0/5LS+7Uk/NeA4IXkjQCacXuhBurEMygrew0U+3VkKYPLMLtWV/cwzD8Abuo21IuBEPthlVXHAu1iwmHzhyb/nP82/ua/uFV/WZd7HMntFHT4eN4niEF1Nak3AifTviBaKHIIkDrMm7dTs27EQulOscX3AFtqfL5d7bE6mxLka/zrPyd+uv9/gGGLY0nAywNV7Q6ONBI0vGc32tfs+OBXp7h9Ctt1nQvcjQk6dkZX6fbG8CpACicJDVWuWOQLHlEtgnS3JL08Iqnz5fynv4mZcuvLfIh9560H0hPJJxGcEuBncIVoMdbLvo4NQUO+eMrvvn0ZvzwS2xREq/fo3Jhn2zEhYczcgdoS5XT6+2PnWFjPIDQTIMA20rZvdLVgNJvMnKcxyqIms2usu2aLfh+lsr7frAgDkadLgKF7YyP33iJPe3bW90foALXAzPM0FGSzylylCmivSKOvvbA/KPM2RxK3UtpoFHtTPk4vzrCgYdt6/1AV1j279eeZb+nBE71yurVu6jjy/79KMPYBYW0UygyKO2NHQoJhDFv2N5UwZooilJ6zcn+4ziOv3Spe+wSJESX/v39r3NR0g9SU/Rd6gv1V1qlVVqlVVqlVVqlVVql/S/b3rSIdvRa6Po/SzoWx/EP8tF8VdInJP3mpX9/5Qf6/04URX+q14oh5+I4Homi6NuSfuP77CSS3ibpH7/evROKVXNFuroZUlBEByRJW2s8UkxUYB9s5ceYiM9Y33o5b+5Ainlfp1Y9AjKW8JN5MeZoQVvshSItIA4SaoQdfnb2P1hfQ50XauTy/u6SdFvjz1jfgfIz1rc+Zn7hLMBcBkBw6NA0p+R3Nvvfrm/0vhAZPRWEkRDJAkSvJCkDkdZzeYeD7Gz2lLgkNVQBt3seZO0T/netwAsvSSNQ4NoY+TwhPGiobYbvd2SGx7QVMhK7mn2cz3IARM+ufMn6dkUuJLEUcVRpXdl5yAnTSSiPkGjERsgSHY288OxKaNv326sLbpIbqzxL8ePr+P5fHfLYSQbgIHEgxrKl2utGSERpbDmQvq72SGdHrT//eJ6jcrVJjxRmM46RngDKwk+13om/SZzHNVBMOB47xEWSTgGP+ppq5xHPlQNZBoAzzUJG4CTIz0vS1tipYc8vue24rdbT3JLUFjvufmjVa2kooro1xRjfBYBt7Srdan0PzTIVXarpp63v/jbHY4eKZvsy/qyPTvg73VK9H6+vhczP2bxHr0cSZ/H6qWXfu0kYbCbBGYHNSaecrE+5nX1q2ffTARALkth2zUNxe0OgFoEokNdmfUzralnX4Kljnrlagih1J4jISFJj2n83mQCIV4DHug5oYClHRFlvykZI0t5Wf/7fHz3Cf/w6LYqJoPl/Qoui6DZJj0k6rP9OWf3Leg2n/eeSBiSdk/ShOI6nLznmv6fXCh2XJP1EHMfPX/qtT126VpL+RRzH/+X17t2W6onf0/aZy/pAW0WzRMQsabHkm0BfnTtKT+TZMBL8IQ2Qik3AzypJi7AJz4MRb4MNWJK+V3jQ+u6qfqv1haAzpFr3yrKn33uSbmxIgVKShiPn47yu2g3G5AovwnG5wdpf78bqD4b+OV7/F/ucYWJyxZ2a4/M8JsRZ/a0JT5VFMe8MnxzwdNvzgOmaC2B3LxTcCSDs5ywU/tUFimcIYvSqzlrf3pQfqKQAmwNgbO/p5nn6ypzbnhsg+x2yUMN5H+sj4FSFWgNsbFRfnAV+WzqkSNJQyefpSOR2ogTc2JL06fY7rY8YZ97ayXKbz0z7WJOG1OTy1dt9qqWgQ6bEOGnCqYZYVyZCmJwr2nTB7cTdXVyL8IVxh2g1lwm2xs80mnDbNRC77ZkDtidJak34c02U/fAXYh0hzvMDhb+yvtur34fXt8Dh51DBGXuGCi9Y3/31/JukNxCaE9TagLVmOwimNAQExMgvmgXWi1Ncm4/+wKl5t10NKQ5SvFByzvR76rxmh/jaJWYSSgH4mIq7GxI8T2j+kiroTiiulqRNDT6qD+z3ot+5cb7/rz7rjvZHB31NfHuUg37XNYF6NezRV6p+f79NwN9OA2MVwYhDbnAvPGpA20a/efrXDsRxjBjTN5N15HGF+ebvgb+PJf1c4Lf+UNIf/o88D9l1wjNKUirhhqkJCgiyi4xVaoKoIGESqUpYkuoiP3GeiNwIzpUdPyRJa0CNigp6plbZqf3r+c9b3+1A55SG3xwq8TtdWHUmlTvqB63vi7N/itfvqXGDT+Iq/3jdr+L1maQv+K6sr7gSRLok6cVpX4kdkUf/+hsYe1oPsrOt4JQkE7wkqwDPfnzVHYBbG90BeHaecYptgJMcACaRYOU+OKAvQn3DzCobVmJYmQI/mbDcElepJ0AdZT6ASaTNmhxtYrLbGtClX5xy7OeZkm+2dPCVpEZgOXh1HuoLAI8qSVOwpOnsFioye3D+rPV9qH3Q+lZKfP1vnfOi719d52a9uZq/ya4mXxPfHfX339TgzusIUFtK0kDkLFCHEs64dHcNM2TULDueubHaJ8UOKA6WpDHIPD2x6FHy21KsQkiBn1uq32t99VVsOwrgRSwDw8id1e+xvnN5Tif11/j4PwMZyluqOKJMYmeZKqq54XlGTmEjRDRD6s1E15qIvLM1oE2ypuBONSlT3tbGWWtqh6d9TOogG9IMEuKSNF9wO3lWfqDaHXEtwndHfZ78GEyp3BLP84+v9QWYhujz+npe+yRE01Xj7/QPXvVsjiTdX++1GCTYQwqoF0AlWZIWi77HP7bidUhv1K5JZUhFXplK/LghR7OzxifSKCyiXII/Du3g4wV3QIoJdiBm5P0DwMbxQu6LeH0U+WdNxR+wvs21fFC4v8o1gQ6X/GR7HrySdRrE37yj2qmPKHr1sdZP4vV02qfK7VZQfZKkg7P+Td+/xsMdZy9y5f+dnaACueRG8Pgc56BqweBcXPR3uh5SVZL0hYtefNUWeZqdTuZELyZxBG5drTvfL6y4sZakgWjQ+rKxXx8qUD234N9/fhWizIHnp0jtMkTVDs1xVGlvkxtR8skPz/g4XdfCh4fRiA81V7auugAPNRQk0dx/aITnOYjr6euLvjERxEeSauXvVaINEBQsJemz2xwiFoNBbKkOSPZBu6/X18RfnvePnwXnV5JejT2i3Rp79A2pGSU1ggogrbOAsKNO5X3+TS24o79tndtISZovuJ0hxqyRAJznGYh+3wuBCypGfAGYSCSprQj7SXm39T1R8AOFJO1NuANOULiTKyEqB3eW6PttAIdckkFLJXbKW1J8fWOj267TNf6dCE4i8aGwG9gsSqDLEFJlpUa6BlDbLUnaAFSEkxf8QLX+DvZ72o95fxkO5C/O8B67vt7t7FLR94Nf7rsNr4ftRFUJhz6RovOH+5lqeRyKJD/R4IcsSfqV6S9gv/QmF0NWWqVVWqVVWqVVWqVVWqX9/7VdkxHtQjnWSP7y0/0wRJq64FQscaEPnSFbY6ZTeirv8IfGGo+gbI/4ZPbk0h9Z34dbP2N9i5FzM0vS4Zn/x/om6114YA/Qs73W/BS5DDRHa0pepFMTwAPnyh6Bisr+t4UAFyxR5FKaP6QiSJi8mWWPcr+ti3GWM0Az1AiVOp21fHZtBBXSzYCdIGEdSboh69/qxTmPci+X/J3akoxdpbYIVSFbkz53JSkCZFg7iBh11HAEJg8RlGqI3v75BBfY4m9GnqW4rZbVRmsBY0406mvq/Z0IDiBJ6xNOQ9kvr8WYCIirtLR7BCwJxaghsaokwLmu0x7rI+iDJA1C3UcE0KEfJkLzzKSP8+5mvv8KCE7VA073fVAPRsp2kvRdqKXYIS8QnArU7FDh4LaMQwK+Oe9KqZK0JbnO+u7O/gPrI9qx1xpk8yCiHSpa3pDyfaYD8FB/MuvFxbur3oa/SVzGXWmfO8UVH2dJulh2GtFEwW0cwdsk6bszDgm4u9mjlyNQxyEx7GxN5uojxQQF3FTvuLehPMM8vrfgPsZ6sDMjS/6bRDcpSU9Acfj7GhzySWqJktQA0JuHzvuYfnwv2+OmO3yfiecdNfCxBq5tSwFqc+yU/+b+LYwRO3baIWK5go9/Hgo020BYR5K+etEj3QOBLMnrtWvS0a5NJrTjCsB/Z77f/m4ozx/sBRAd2ZO40/o2ZBjPWxcxc8SVLYSpo0ZO3caCYwclaV2LKxeRYQtkr0UiSZ2A3W1OulO3AgV2knQxckbGGEQrGpZZwr152dNNa8EwDQPER5K2NkH6fdSN+L5mTr8+MekLdgqUzEJjWp/yQR1f9ufvD/jE38558c39LS5D/YXZZ62vWY7blqSNSTeigw2kYsfPRG0VHMA4UCD6+LSnhelAQaINkjQROaRlueROUQmEhSQW4mmBEx1Je4ekmQ8AZXd3rT//eSgalSSAmGtfqz/TKeDblhhOs73ZgaZnKc8qqQHszCQ8aggiRXUvzwJzwlKRhVAIk0vp948Oup05tMKO5keance9Cu7z5CSnxC8mXNhomxzPXSNevHMl38T3t7o9GwG1Q0n65ozziFNxfUhY6cyKi21tL7rc/DtqHff9WAD6cWTZA1d3pR3jvRRx4OLGerc99J1PLTKPdRMoixJGOlTkRkrHDSn/fiHBmnUNbrs70yDiE+BnJrXXb86etr59aee7nw+IwnXUOLy0Cow3QcEkqQFUGKcByjf0LMPm1rzL378MAYV0G98/hu/fvcN9tESGx3QTCPgdOetBjv4GX+ckrCNJe5r9oHMUtB7eqF2TjnZ1Quq9Yh4Tvd/JPDMUXJdw1SwSEwjJdRPLQx8Ao84s8P3JAaWC7pARoc2qP+EOzMgib5YTgF2nyMJCyZ9/TwtvNo+OugOYy7th2d3s+HBJenz529a3tt4PNCGn8NS8D9bpRTe2pZiNyOl5f1digkkDPl6SUkBTRE51R5oPKp/pcqeazM29K+4AHF9kjHIV0L5NA+1YX8CwUQBwuuSG8dAMR6U+0ONz8i+HvZahG+auJG2ociNK1Ji5Ao8pHQpXAKe6XPK/66kLiFXFTv30rqQXJ2eBrlGScoC/3JH13X5qlXGO/+rsv7S+j3X4wZuYjV7r92/dn/F5kgqobZKy5Pkl/04hhg9iOKHxH1728dsGolSSlIN3moOIMFFjStI2wLPnIPPTFchwUpaBpL1/d+y7eP0D2butj+gBQ5SLOxJ3+PVA+7YK6+HW1C34m4Kh6q7zOdFb9iijJI1Bfc6N7W4739nDhXfk7CwDHvjkHFNEPLXq0d+OmY9Y31YozpV47/3yBX+nHUArK0lZGL+3Zz3zQbRzI0BtKUn7qjxzNwffOVfkeV6AbNKaOihazbDfMvqQz/MT436g6gNHV5KWi+A39XjWNlXHtiuCdXZmkRRI/eMVyrzHTUMmGzgA3rBVMNqVVmmVVmmVVmmVVmmVVmlvQrsmI9qFsjS2fPnpLAM4vwsJxtTdlvKoIEVgQhXFk0WPlFbnPVL6lenfwut3NH/U+og1JROQcf76op/Wf7zlg9YXwiTmYo+MZOUnw/X1/k7AuCdJ2ljjWYLJGk+LNZW5+rcacMbP5VxauD7miHpPtcN8SpA5eHqCU53nImAuAIz/d+ac3kySflMu0HBoyu+/s4W/KUXqaawpovhsnquhdzb8lPUdXfBow/FFnid91R5VHajxvkZ4Jknqr/Voy3u6HDr0z897zYEk3ZL+Eevb3OjfP8TvW530yM6BBU8/rk15Sv5cjsckAThZ4pGmyLkknV507EhPrc/JNYGozic6nS+e2Ciub+GI/OiSP2seIoUjSxxV6wcRqYPxI9b3zkB9yeyKRyBjwIj/+XmPqn1kDWejiCHuzIL/ZluaIUok4DW06PcntipJemLV6cDWLDmc6fYqjzyHGgm5DAToBaPIv3UDBDVnIEo+FYieUvujmW9Z30+1vRv/thlEtNrTfi+a+xKLnjw05rZnI4WOJb034dFrEkBbH6AWXQSc7w1tPn/O5nid397h/fmSu2OnAOO8CWArEvsjVPMyFKDB7IH6olvaHXKah2ySJJ2Z9rqFHLCGzOR5nn5jxK//eLWvsyOTnDnqzfiLEUzmT88BDJUThHpuAnjIA3v067Vr0tFeLJX1/PTl/J9toIZ0R8rVvSTGNR3P+4TrKnJKfFuDf7X/PP6frO/+Zk/pSlI+9sU9A0IkIcW/TSk32LTZh7gjB6r9vWYLPuGngCbniZLj2yWpCDCLiXnn1t7Z5IVbkvTWGqe+imAHzVDVo1hwpq3Gne9Hcmfx+iTkSqnI8P7mX8DrV8ru7Eyv+ph+z2t8JDEcaR0UE9IG3FLHfOukblgL0JfqBJPJkmhFBh6gOmCXJgBTS/zKH2v5GF6fhW9KVHykVihJ+aJfvwVUYclRPbDCaf51CT+kH1xyvvPeBONpj876+3elfZ51BdTV0knfhOngvFDgzbq7Dr4fUKF1AkxAko7O+nNdF91pfU3VvE6LZV9nfzr529b3M72uyjuU5wMdPT8dXC/mA9CLJh+rWghy0IFAkpoBPvGN3AHru7eWbd/Tc374qweI275WDjIQ7R3R29Ehi9QKJYYk7E04xCVUNLwWahwuLPm9agOKxgPgVHVB0TUV+EnS9kbgqwfK8N2tDl2QpLPzvsenIp+7Y4FiTIJofXXaaxn2pr2WIUAtjvthH0wJ2LYlScfm/ZnuqwaIEcApJKk64T9M1KwhZcd7OwN0yVe084EC06G8B+kmVnxMumFKpQBOIvFYf27C66XeqF2TjnYqitR+hbzz8IovzI4UbzYHQTXrpoxHXyeWGf9FJ8v1mTutLxSRvljwiqpU2TdmwjNKUj7ydz2y5L+5kght1j5hM7ABkgreYOxcqpIUA0b5lhbTLVJNMoSJA8MIxQ9dRS6mrAUxBMLtZwIRccKoT5bcMs8nWIosX3QHbl+bz78zC4Fi0mX/pt1FPyiQU1uCg5sknS/54XF/gzsFFwMqiFdbJEmRMomL7HaCBPu2gOZDXdLnVAZYMy4s8v0Ju95Z5WO6HIOEd4IP2SuRv9RU7MVsKrPa5leG/UBen/on1ndfN3+TNfV0+PQ1cQpqDiSpBQ7vvYDRzwe4fNfU+zpLw0GtJSAEQjjf5rQ71YcX3AFqz/Pa7aj1dxpfhpqLmEN9U8BOlAeMOykCS9LmtK/93oJ/k01ZXlBnl/y92qp9AKmIXZKen3KM/wYQ/GmEww9h0SVWtqyHyPkUZCgkaQYcoD1t/p0eGWMX5cZWWKeQeWkKMGxUw350c6sf0uuq+fl3dvp+enoKlHoLgQwrqBu+q3nQ+qjeKnR4IVXeOjh4k9KsxAJws/Pula69kWt+Wmd9/RRBK6K6JeC3jPn8e+qkM16NBg4v+1rcn+kBF+9kzgMvy4BPl6RmoKHqWmFyAcZHvNauSUc7Hxd0rHA5nd29Lf7BzgfSv3vTg9ZH6e8n87CBSmrXBusbjIH1JKAM2Rm5U90aSGvi9WWHNPTV+oJ5BKrRJalY9olEsu5vSbm63WyRnff2lG9WdFo8XLjA15d9s9qU9vckBUyJjUgdRL+zYiaZ5bI7q0X5/EkFGDKWIdWYgqgSRYokqbfGvx+NH6EkNoszN1vq/EB1YsE3mw2BVCWNKUW5TwXU5bY3EvOC/91ghg3zBFT002a7EqDCa6/yTXABVPhORB59bI0G8Tfn5Yc/KigbDqz9dzf/I+sjasuj8/xNSBmSfCUSx5Ckby+5Tfh4vYuLNINSriRtIcU+YDNohkiZxEXDBRBxGgCn5sgMf2dCLr2qs9a3KenBFInnDzmaX534A7z+J3t+xfrW1LudIGVDSdoL4khTy7DOYO1K0q4mn+dDwCM6XvDrQ0Wrafnz10MxKTGuSNKmBrezgwCHmgowyfzuOU/97a/3fWsBCuxCbXujH76OT3HgZgtAKmIYq/46dtRDzB9XNsrGkI0NtXko+p0NQEY7gTLroRHfdz8FtLKSVLMVDhUQ+YkyfMpOQ+DyrmYPeu4b5T22GqCIUxP+TKcXvUBzawNnsxohQPeFeVdAfaNWKYastEqrtEqrtEqrtEqrtEp7E9o1GdEuq6iF6PITZ1vaI9oTgRTE+LKfwpvTHpHtgcivJM2v+olxFUjm08SRJI5ezxf8tHaSUtKSNiQc19VeC5i4icfx+sWs05FR9PrVskcVWsURAIK5nCz69f2xnzYlKQE4BSpyC0A/MdW9DDi5i5EL+0jSSsLTYlUgj7s9wXjoMnz/vxz3Ys57mnlOUfESXf+WrF9/Rxt/E+KdXYp97jcEIFYjS/5OlKbvSTPO8vi8R7pvgHGG4XsAACAASURBVJTwUECI5MCUfxOqb2gDOInE0bo5eZr91uTVF6mNAHSJ0o8nikzQe3OTR2oJEjAcCGoR5eiFnP/AxQJH1Lvl85eyJLUB3D1RZ60CdRYVSUlSAxStN6Q80nhnp3/n+hRXNJEIVJTzZ6IosxR4f+CsziVYP4EksymlPRvgRz4BFHVkT2cD0JfRvL8Xzclk5Ot0ociZhyM6ZH1jsWfIbqxliNRWqHnf0OD24KlJhmi9tcXt3JdnHTv74VrnlpaYxvT/nDhofT/TydnA0WXfp1rT/p1OL/IeTxh5cBuwmDEU0R6NXJdgJ/g9tQFROapjemHK77XlAAuY3dHue2cCRNlQLUhCLGKq2581A/VikgTcBiqB7dmV5cwPtXb4ph9pYhGnfzP3RPB3rklHuxivaLpwOUfzQsGxwyPLPOAno1esr6fgClfbsoy/OjbvBq+31i3ribxjnCUmuc/A4riuynk3JWkGiuxowb6z8efw+iWASfTX+UEjuXT10ycHBvts0bm1t4BogiSdB3W2VhCIoFSZJLWm/Vl3N/vKfHWBHd1vz/8H63tnozOJ7G7lMSGGkzooaPr9UWbY+KV+38Tvb/dnPQlCIhuzfPogZcTZhKcFp5aZCYZqDIhanjZ1SXqs4Jv19bHDLEIMH8nI36sODq9NgfsfyLuIUnPsji4VeDYHyFQbVwOA8itaGbVmWbBmFP6UxHYkaUPW519bjfcdgkOyJHWVfE5RzUkAuquzUNBGcJZVYFiQpBYIaGyo9+9/A6TuX3A/Q5K0G+pO76l3BzCk1nmm4PfaVusp9Vn5wVeS+jKD1kcHkhn2H1Bch+xZaoXX6efHf8P6fmHQcf+0Ts8F6tOaiz5P+uX1Ha2BdUJFigOtjv195wrDDE7mvP9THa41EKpjovqSj7c6RGosICKUAojibMGfaTTg022EM+Fzs257b2v1g3tIFXZ32gXsUvCiiQBuvbvWf/dKPZLXa09+2/ny66rcTi0F4DxrmnyPb2zyZ30F1ColqbnW4R/fuujw0vZqX+fnwG5JUh+MCQWY3qhdk452dVSn3qrLHWM6wW7PBiJdc1usb3rFJ0xjik+r2aTvlnSII5ybJJWhep3sRUcgrNQFTv0yhGVCrCVZCAsfnfNoQw8wJ6wAblmSLkS+sc/knPZqJOmRc0l6bsll7T/W5o5udUBEqAmGurPGd7b3D/A32TL396yPHNXmajaCS4DR3tngTtmt1RwVo7ciPHI3FK4NA5uAxII921JeS9AQoOd7dRGKQQs+fjtAmVCSdmuvX7/qzxpg51MKHO0yODBEeShJa1d8Y3hBL1pfIr/d+voCqrAkJEKy9vdmQUNcEihjqxmm5ItFxr1PTkGWJumZr1ur/Z1CrQPYuAJ7vS5CUJXESV4sezBDkkoQvn8gdjaOnlo/ZP/UBvYK51YpQ+gv9fI8e0Uba5xOrLXG59SOvGcCJY5eP+VQfjUGynCug8M7ua9HIEMnSZ/scow4ZT6ImSrEcHF9jTt1ZA9DhXdrM+4UJSDKu6WZ8cDdtW5TXgRhrLOLvEcem/OJur/NAx9tzESH408MF8SiJLE935Lxg1Jrmug2+ZC9u8X38wTYwxA+fBRYe36k3w+ZnznIuPO3tbo93d3ke2wWajYk6c9e7ba+fS2+Js8vBSqpF9wm0Hf6zoi/5/pGHpMvnfdn7ctcfb3c6z1HpVVapVVapVVapVVapVVapf0Ptmsyop1JVOuWustxyhSACQRl1AcwifNAnTMb4JOkdBX1Pb74X/H6n+35eev7d+f/ufX9fMbTf5Lw+DQPkTbizJUCLAU1HpahavypAkfaFqJx67s96++5FHFUaaDhVuvrBIL9QEBbk/D+FwG72F/L+dsJSGGeB9o4ihRJUgNEe4jP81wuQEcF3+obMx6pfHeL4/O/sfQk/ub10T7r64QsSYgHuwEyNx01HlWhKLUkbWvyMf3S3EvWd1eNSwtL0hymhUkuHC/XIkSGbk/7mKxtIDgEvxOtc0rfhuZJMqL0rf/mLa0MUXkOqNzel3VxlM5ApG4Miu97a3ycHp9g2/fV3GPW1yWHaexJeZpfkhrgYz055VHNbMqjf/d2McNFASJ4GXj8UC1BEdKR9P2eKzO3+k2Fd1kf8UivqQvtSN4IIdcB9lBiKsWZwJq8snUFsqb0pMSOE4qenluECTjqcBxioZGkItCxLUBEPwQdeX+/3/802N6OmgA3esqf6+sXffHc28XwUvpV2o9JxGd3QGyK4DBkZr4x5tSEkrSr3jPUTXX+Tv9lH2fCF1Yd+nMBJNDLgTmxvt4j5RGM1GqAio8yCjR9H15xG7VBLqgnSbd3+R73R6POhPJG7Zp0tKsSkdpqLp+0VEBwfI6dqu46H9wZeVoyGRBIqK/yYV0E3tUPNP0MXk8G6zO9nv4L8RtTI5zfugb+/F+GIrvuyNOnGXjPpUTA0S66aMdoyje2rfEmvL6x5AaLjOhIACZBqaGvD/n3f3cfp4XIWaMNmIQIJKmhyr9/O+AXCSbw2u/6vd7e5PCDmqT/HUE0JClb7d8PGJ50YJqLrLZn/fvRIS2Ufu6C/eID2mV9VLQpSS+Uj1rflniz9Z3P8QNkq3zDoG9K73Q6QKW2GeBoR2ZpTbBTl4adcQAcsD3NbLumV/x3CeYxHyi8GwEV0O2NPk83cY2aHqi63foycMgMqeq2glM4DKniY1CLsLuJTw9UjEkthLufBRrLcaDXuzP1dryeYGskkLEG4BSSdGgW1hkMXwim0Zfx8T9NypgAhwmx0E0DdplKIZ5c4oL9mRUPCJxb8veksZOkedj6CCG2oZ5txyTUQQ0AjWhHmqGQjYA9fm+fP/9nh0/i9e9v8X3u3wz/N+v73U2uEn18NsChDxXztPaI71ySFsDQzS75mlq/gR31FKDpSFUjIOugyXM+fisQzEyDfoIknafDG7TfWOM2qkiVlJIeHPE5sa3KYVOSoDz4v7dr0tFeLsY6ekVlCUmxhrA2xJndl/SihBYoSJEYEzoGAPrnS6wwdHzWd7FbM+5UEeevJI1C9PjO+kHrOzzDRoT4SBehcj6C6OFSiXGSOxN3Wl8CMMajEWPyyhDpWwbneyjPTmE7YDpJcnloiTfbdVCQNQ18pIP1fNonjtVhYL0hTJ4k9dT4vWZWr64YMYTFJ+zw1DJEBUAtMnSvYcDj1gWEmU7N+w90ADvOkVUuMvtAkzvlcHt9cYEjjcQmsgRR7jkY56bU1R/IGqv8bx9b8foESSrFxJLg97+5lR1tkrZ+AiLCVB8gcVQ0inzuDQeKvHY1+d/WwuHvyBzPyZem/fq3dPkGmkF2Et7Bx1f8XlSMRzUPktRa42NCh6c7Ozl6eQYIZnrr/F4TKzyndmbdpj02CYXgRFshabXk82cDBB6oFuLQVIjv3K8ne3h/C3OT5+FQQJFKEiqTWAWSvl8jRJ4lCfxP/dZ5d4p/tocDPwKfjhhz3tHIrCsUKf/ZLq/PodqqkKw81QJQ7HxTAx/yScDt4TH3e9oaOZjWtcZtUkSnr0CKtLvbry/n3NC0nAsE8151v6UJJNybQVV3scBjWgVCdY9PXKVS2w/+zg99xf8GLRfP6/HiQ5f1NeY92kApYYmNOAmx7CKKAPHGQg7MjpJH3yRhpcTRBXdgQ2ICjUCzNA9OFamwSdLLUChC0cvTpC4XmIMlKJLsS/skvhAi008B8fyCf5OaBE/pl0Cau7vGreVfTHOR1keT/q02QKTvyXGOSqFlhkabsiSNAusMZWmGwAadyrOS1xoYfzLsoQPpmQU/6NE66a9iw06RwldzPqfuyjKdFBXpHQbRkrfX3IXXH1n2LMtA0jM31MZW2dPsLJNiHVB7ApWaJL204oeKtSB2FaLHIzYSKrKig7PETC5kzx5YwwfiNV3OpFSCLM+Ny7yxlcFZqgKneA4ibc31fMhuhM32P5z0NDkVokpcyE4iMCS2JEm3tgHlJNCGPTjGkcY72n3+YHF9koMEFP2nAxVlPQuBSN+WRs8yTIO4TEjFsAUEj2jrODLLjvaGBnh+eP3xgOAN+e/31ruNf3Ga77+7xSfLCRAFpgyhxEXDS3CmmV4FCtIA7KcDMhItUJzfGmBh2tLgc/KlOX+Bf/IsR3R/p/as9SUh8l8HDrUkRXD6ieFAlg9QJr487zbh+iZ//5qCr6fFAn+oDGSi/7+4zZViyEqrtEqrtEqrtEqrtEqrtDehXZMR7baqrH6i7b7L+v545in7u53NN+H1y3CI2d/qxJcXF/m0PlDvJ7OjK05v97YWPhn+y9P/zPo+3P7L1hfi06xJemRkBugJO2o5Urka+8n2ofnT1re9ynF220ouPy9JSeJsLvh9iNpQkrKQbioATvJg7MV0knRPnVOEjedJYOBRvP50jacQmyDVRsJEEhc5zsPJ+q4uPvs+O+nXjy97ZGBPq5/qszmOlJ1adeLhtwJFU0gg4VzOOcoO5r5gfVsT78Hr39boPPDjK8A3TnleMc6U4EwD9TymXXXOx/rnM07v974kCDh1ML3f4xPAoQ+FxD0JTqlXQUqeOJcnV9h098O7Ek4zBVRqkkRlG00pXyf9HRzRjuB3q4C3NgtyyZJUXPXnT2cgojsOBY4goS1Jja2eZfkYRLAOzbLgzQpCGvzvDkyxPV6A7ANJ0AeSeTq96NFjyrqS4IgkHZrzUGs59ncdXfFs3MZ6zrxQMSXVFtUEin574WePzwFMIkC7RuP/e6Ouy7Ax9kJgiYW5dtQ7nCpEF/sCfGvKBobqoEjvgQS8hhd9j66l0L2ko7PeT8XtQ1CHIUkbwW9JQpbj57fw2v/WcYe3UoHmo4/w839owFNCTWlf089PMV/8k+Nup1bLPtFSCe9bLPJ3pq2P9DckKUCjL0mKQhio/51bf21v/PfWfuayPkrLDAFrhCQNAcPIVihy6mEbpCzgwuYKPrmocE2SLgJOOAYHlN5Jkp6ddwdob4MTt9PClqSC/IdvbvXJ/e+GP2d9P9nxCfzNJUgBnVvyhZWOQtzgYHDACIYKRLtAsTBgr666TdKJLNDW1LvBzYGxzQY2S+KBp+VORWpHZgI82kuOU7m51X8gVLhGBvtMwZ33ZMzf9IaswzRmfghH++yir9OaBOCpoehTktbU+9+ez/n9qUByfzs/078dOWx9xJoSsrp0qCGIUkcAy38McO9UYLuxno0HFQ6uA0jGpi5Wh3n2vHPhLsNvbslCnl3SxUU3qmsbHTbX3u59w2O8Afd0OnSK0s+/f5i5zXtAtGJ02d9pJsBE0wwwCfLfQmJbdFBqAn5mclQlLnIj2GAbFKKGHJBzOZ8/+9rIqcPLkQmFMNoEZ5B4Th2c8b6VAAn/o0snrK8QufP93kavA5GkRkAv0POfBFVPiQNHOfhOdPBuDMkfQ/tG7oD1vQ2CTpK0Nev32t3ka78W4CCS9LWLvv52N/n7Z5K8b44AnKwXWMCemebAEfkYhJAjyOM6+qCSLsA8v72T97Off/mfHojj2GmrdI1GtBeLsZ6buHyAiPSf6OEkKV90K0BKouRQhxo51SFpaWLTIPxcHUQ1fpgWBeggmhI+kWFuolNNUV6JsWo9dY5znA3gz8hejsBJYyBQjDi17N9qaxMoCwao7L5w0bGnbUl//pCMM4lBvDzvju4AFG1KHK0iI0LfKUTjWJPkCN6VbRLGTmLscS5yp6YWFDwlaRS+30zRDevWAO0aCU49OH/W778cwoh7BIvw6CeAYWQZIiWSdE+tO9VTcCBb18imdwiyZLSi8oHCPXKWyFGcCFCTnoMagUYo/Jy7wOpsRKXXABvzERAXkaSj875+n532LM0nAONcC5F3iR3wIghI3dHOIOtvjvj9KSMQosHc1ujvXw20ddM/BF3sMjh1m8FRkqQ5+N0WOKgRuw793Wv9QAMKYxKKnp6Hebat2b89zSeJC8lpjwkd0u+QZyjJ0ewCakuJqQSpGHMsz5OC6B0XIMsyAbb39y841a8k/c5Wp/u9o+DZODq4SdJLEJC5rd3tcX871/z8ZD1E5Oc989cJfydJFy5SNtXHeW2Gv0k2BdhryCb96ZzT3batemG8xHUPocPn67Vr0tGOJFVfIZF6BtLMO7ygVhIrJBHzE0U1JE6/ngbDElK8a4UICKUKKS0jSXvqPXpNvzmzEIgqxR4tKuU82tOY8hcdDdDr0Ql+Pfh5y4HN6uyCL66hkju/T8455ZskfbjJeTKXYMF0AbuHJN0OUrhEO3d2gdPXOyGEQ9H7kAojHWAoIn542sdpByiGSczjTQedi3l2QIhNIwHR67ubWdaeIq2jeZ9TgX0BHYNakLVvFR8oxsq+YWxLuYz0+YRTlP3RKB8eiB2oEeY+MHFJkva0+t++MOVzkqKHkvQSfP8NEKj9+hDP8y9P/7b13dT2i9Y3D/RoEqutngHoQyhI0QDy0MTm8AJwLu/pYtoxgf/9/LQ73zUBOM1t7VfHIx6y59Q2Z93GroLzL0nVQGdGDshMQK785Xk/kGahwHQWsq4Q0JPE85coIycLXBzelrq64vDZAs/z7417pPWODl/75wO6BGRnMzAmdQEquSZguBlddoO2DYI5EtuufqDxnIDh+0drWT+DHEAqeg0Eb/XonBeHz636gXhLgPGoZa+PdX+S/5baJ8dPWd+5l3ydDuxgR78A7szhVzwg8Hsbbra++iqep5PAWPTKQsBJeZ1WKYastEqrtEqrtEqrtEqrtEp7E9o1GdFOJSI7yVEKibg8JcZF0bl2NEDndB5CG7udTUonAE8pcWRkFmh+KPojSa8sePh8V9JTOLdlOf07suQR8emC49fqIKLZDpyzEkfkp+GwC4xvkqQjpTPWd2ONF15uKDsZvSR1A6wLVfyg8EySJqHwkqDLeyh3L6mv1iOIq2V/qPM5jjS2QaXRS8Dl21Tl9x+o49+kjMzzMx4tuL6Jsa9E2zuY9ALHkArhugzwpsY+p44DPZnEWMVN1R7ppKJbSbo16/N8GPjub6p22q9AHbIaIUp/eArgNFXMY723xX/4U+t9nP7sHA9qP9QCjEKwJpXgOfETXV50fXyBMj88ACMQ1TsyS2JZHBVagKgoFb1OA8RnXQOPSS1EH88t+v27AGIjSWuAHrCpmsRB2HYMZqBAtssLyk4O+dyVpAJEmqlAllT0JGlDxm33mSUfP4J+kICSJJ2C6CFBzG9u42wSYcxfhe88GwiIdqX9Wz885lmC7Y18f0JNns75nDgwzfvZHZDloIxAZ0Dw5ui8r1MaaqojCmVOqL6kFvyeDfX8A/sb3B94bBIUTM/xmA5uBB5toIEMtSrI/K1JuO1MgTCQJCUh/N94xp8pDRjx1gw7c2shy/TirENc3qhdk452InLHmrBOVQHs6lqYiMeAz/MruS/j9Q80fcD6pkAdmIRxJC58I6D/TCCnXgMCIy/NuvN9Xw8zJxAkJAVFZsdmyXkM5PkhrXUKeLjp3pJ0bvlpuP8XrW9XkytpSdLGoufPN4AITeDshXjoDKiTVAUcdUpBdsCh5OAMy0ifnPONpbXa+2oRU4Y/qcMgDrK9wZ3qg7MsQrQh4/OnB4Q46gJFvwR92troTvGFRZ4TBOdaLfs4N4CCqcRYxeMrfv+OGijEDdQiEHRqJOmSve1LAdx6nTtw6zL+Tj86wKnOEzmfE88BYw1JnUtcjEu4/1lgB5GYTYKcmhDnNEkm04GW5g451KF2V4cfUr81yht4S8ofig7eg63sqHc3uO1NN/jae2SMcetEzb+50e+/GMDttwPrCwVuiBmpEwSkJGZMopYPcHu3g/9FcJRAHTYeANqqPHAxtMieegHsxB0QEQg5tafBJtF2TFh8iYXJKHBHLsJwAPdODCG0zEPBrBtb/XcJi/78OB8IG56+aH21UMhcVceDSrwcVYBlXz3NfPkFCFyOL0G9WZE0KXie1le78ftAH0Nuf8djgX/TrknWkbqq9nhT43sv67su7aIXIeohKh6jaMGFAGsJNboVOc+S9McT/8r6frT1F6yPopySdGTeT4EbM27E90CUXZKWwGDTxjYBIjxPggqdJK2v8/vT+IeENIg6iVpIhIcCzfSLIfwaRZAeHXXD1BVQKNjY4NeTEEjooELj/zJECimqlAkcp0n4IESnRW0SzgS0MQ6CtLHEDtiaOt8YQxLaw4DnprkbKl6hMX113r9pSJqbGkmIF+CbhhgmCHe/BzR0dmW5oOgrF/3wQ3M6JG39/KSvv+2AM93fyptdQ8q/HznA6QBzAakY5kAx8TujfiD8xJYh/M0RoO2bWHan6skpjoiTih8dFALJLG1vdE/5ul5X7/3eWa5lmARl0r5adwDqAmwOL8y4s3EEhJ2Iyo5k2SXOEE/A4YMyiZLUB9kDKvAM4eYn4KD3ZyNOofueds7a0uGFlnko8EJmnqLvazmWpZPzQM8IXvWTc84gtq6aN+7DhQvWd1OtU/CG9tL7+4CG84c4vM5BMWcNBJja0hxMennOB+uWTmc3enKMRcWIoeQL531REglGCB3Qnvbnv6VjGv92+0O/G2QdqWC0K63SKq3SKq3SKq3SKq3S3oR2TUJH6hPVVv1P8rqh6GUP4GlfBKzWcuC4O7Ti0aZdWY+qhPBv72j8u9ZH0d9QpPK5lb+0vptbnYpvgg+WmodU8Tlg/SB5XopcSxwZqYaQYojejzDiKTgnNkNETJLGIAJFc+LoDEeF3j/gz/VXi39iffsL78fr49hP63tb/DebA3RSFFGvavYXOL90dbRbknQB8OAPjvg439TGYRlK85+D32wNRISpl8Q5KHonsZAIi2bw+5PoxHwBJIOr3FCEKBOJ9o2iJdOBtUdRxW8MefgtDaILkrQ96+/07885G8d7OpxdRQq/15Vtfasz/khSttUXGonQpAIY7wi+VQmuX4L072KeQ8rZGh/sZ6bcTgXMMcplk+1aDOwHt+70SOM0sNYMBiTkNwOe/gCwprxznbNGSNKpnGdzN2ZJq4E42PmdqL6pGWBHQwEWqjva/V1JnGQZ6Nle+10Plf/0gM/pFzj4iJlTCDJrfSPffx72KZJAPx/Iem8ASMQJeICNaY/ehtjGtib9O58FrYr2al4nDSA3ft2Az6mxKcZonx73SPthyLre08kvsL7e7Rzte40BxqKHxjwjRfsB1eFshfUgMe5+cTXgOL5OuyYd7Xy5pJcXLodP7G9xw0SGRWJcErVMAGPdCRRjLUCv9xJVA0p6Sc9Z37uSt1lfjv0PfbIN+K1hbnxrlLG39QlP1V6Up7Am5djTW4r78TczYDBrCM4RSNUVQHFxbyvRObGjnIBv/Z3F49b3gaZt/ADAEXZ//Ues7+HVh/HqnpV7rS8HMIey2LCTwZkBI3Bq3h3FEMSIMH23BRQPqZ1Z8LE+m/c5laniYkpKYW5r8mf6s7MBwwwwl8en3AHcWMf3//zkZ62vt+EG/8P8dda1LYC9eHHK34nsRMipI5xnb50vlDGAbUmMc70t6w7IqXnerGjDocK1dJoPhCtLvqXQxpytY4x5NSgmEsRox4BDLw6d4yKlLBQzToHzHqolIJgBjcnRaTbIlOlvS3kwpqeDgeunn/RDwY/d+qr1Lc/wdr6n5eqoBEux9x1fYOzHYdg6CE4Rmudl4MeeyLujRHZPkhqBM5n6UrCXSbzHE0wlFu8ng0SNCvY4FMw7DePXAXj4Y7M+p0J7ZFuN36ytBgSgAvIJy2V/1yRQHm68nk8v3UOOXf4ICGOVAtSg42P+YE+MOR48RLl4a5uv8wmg5/urIX+mBdBOkThIkwwErl6vXZOOdiaZ1N4rmBJItesrc8fw+paSb0z7Gv1kGRJ8GQDFOYrUtqQDohXDj1jfcs2t1lcOrDgSYlkAnOqagDhKGxTpjc76s76n/hbrywQMSxqO4cPAQ10fKNLaU+eLkPCwiwHeVXLq3pvZan2B2ysHhnli1TfG+zNvxetJ8Y/w2OcXeU51wX73wiQUORXc2JSAyUPiqBxFvxsD+LVC2cf6iVXnnH5/QF1tEgzuOOA8xwqMR+4ruQN9fdbZPEBbQ5L0qc6ftT6K6BJuO2TsezN+sxenfJ5syTIemBTzSNjqiXF2ym5o842V3j8k48y4eY8Inx5jEYJp4HI+BwwXoSzFGEjLE8b9Peu88KohIFgzkvfFQw5ciEklmbg6p2w7KHhK0vKY99fvBg76dVxktrHVHZu46PPn9NfZng+2++GTvvNCzr/dSJ5txwo46vVwoKTaFEk6vuDzlNhpQkq57YCbbwJHeyQgGNMPTEyUIasHR1NidcOapN8rFLRrhkX5rSmf05ur/fAYCpxQzReJKBEvvSTNgrDRhRG3p9vWczar+W7/plELBG4CticLwmADL/qBcnWa50SZBING/ZC6A20vpxi/Nux+R3WgFuL12pvmaEdR9IeS3i1pPI7jHZf6WiT9maRBSWclfSiO45noNY/130q6T9KSpE/GcfzCpWs+IelXLv3sr8dx/Lk3uncyciXHMkQ0f7SWo5cvQV63AxydkIR7J6SQvjzsk7OziqOHD7Q7xRY5vyGFJ5Jmf2bSK99rEvz5+zM+Ec/HL1nfxhWnR0sGJNTboCCOBA6oGExiuXsyGCRBLnFBHKh9ayYEXYEI2Hv6fGMjOIIkXch7qnRtwRfx12ZfwevvLjrF3CTAabJJ3xgzAcNG0tBPj7uj3pLm09OOZh+rDza5U31dEzvKj0z4/H9hysOHWVAqlaTxPEhLZwhmgJdz4SZswBGAXIYDrBl0KLm3x9dTiAmGooK0r56NPJskSTtLPk82NVydOIkkzQAbRRNEhE/n2KmjYlSKCk0GVBCJYq0XhDwePOeFg9c3s5AFOfq9UIxHGSZJWoF9NQWe6tp6nhT5BV8/jRsAurPMGc4YJmoJaKzqgHJQkkan3c50t3pIdQXgOM2QYZCkva2wR8AypwCPxNLsVl5SgwAAIABJREFUz+SGre+jPVwgSqJyhwjeCeq1kvTPzv2R9f3GOs8EXwQFSklqBg+WMiJEI/na9f63O2q8cHMjHN4I2imxnTsPae+1AfVksocPjno6puUgz/PeXvgBYHdRwO9Qs+8H1Zt8TSTOgvqfpAIU+BL0qA4KsUNRaoJHkqrsG7U3sxjyv0p6xxV9vyTp4TiON0p6+NL/S9I7JW289M+nJX1W+hvH/Nck7Zd0o6Rfi6IooOdYaZVWaZVWaZVWaZVWaZX2v0570yLacRw/GkXR4BXd75V056X//pykRyT94qX+/xa/xjX4dBRFTVEUdV/62wfjOJ6WpCiKHtRrzrtXof1AK8vT8t21dGLhU0ymyo8xTRCpmgpElIk95x2dfj4IZIAw+kqnzRCm8AzwoaYiP1PdEOCjOg3Y259qe7v1ERxnisI/kqohrUa49QC7HzaiDloMFENS4eexWY+evr2XU/ok0AABbX1t8at4/c7EXdZH6et3N3lEUuKxJtz6ZgDjh3DrJOs+UfZI17Y6plMiijOi8+oCwQ5J2gTFa1WRj3+AMRF5Z6luYU0Adp6HyMQcpF/zMHyEb5dYtIR4qNuBR1eS+oHesL3aB6C+agteT7SBzcCjTEWbkjS2DOnvgs+pUxB5lpibnujpQmydhH0+BJBQgseVAPcrSetBsOUUwCQo6xlqZyEiex3UF0hS0yAYn0W3PcVXWEK+AJSLS5M+J45MMe0bQQLyEL0eBogNQeYkCWrjMev4yhx/6DX1PlY/0dRtfc0AB5GkcuxzivbNfCBz9OsQvT447c+6IUB3ehjQEwTpIFl1SZqGzBHBuWidhLJhXUBbVyyTMA5/E4JzEQ/4hRlOG5e/7ntHTdoXb7qOX6Cuz58rgkz+iec41toGlKffHvE1QQJYd3QEIEKw98ytBrhRX6f9bWO0O+M4Hrn036OSvg9A6pX0g6XZQ5f6Qv3Woij6tF6Lhqs5lbWNjDiLAygFrPyfADwpkc5LnBYbgM1+eiVUfevGZRzuH6ilRDzyQT1lfe+ovhuv3wabGGFnybBehIpeScqAaAj55CGn6Axki/rg8LQcgE9RUU5r2hdMyIgR/vDApBumn2h9H15PBpPSUtQnSSuQ1t7b7Clhes8Quw0JDt3W4k71qTkelLWN/k0JzjMLuF1Jur3feW+3zvvp5fg8V+90wc8OL/sz5QLpa7IJxCNNuO0QG8M5mKfPLXgh8cf7GI/7/7Z35mF2nuV5v985s585s57Z99EymtFuybtsyxgbY2wghQQTkgApISFJIU3I0iRNCWlarqahWZqWEOKWFAKBJA0keAMTG2/YsiVb+0iakWY0mn3f969/aBzseX6vPE4jSxq993VxYX+ec873vd+7PMv93E8BNEhoKrSn+q5iniinRixvfQZ0yH0dUIm3Tw0eZjw0i/5Ze1+pYNR/rZP19pvilhM6OGPnXy4EQ7Jh7CTJEtxYoWBHPm8ehZBpn160Y7IAxYSSFMHy+eZnrVHbkGADIgd0h5/vtU+1IZdT6lMLdlN9oNWuqb2ldu4/O8DzjGqBaZvxNWWjbrXExe8Cx0+SyqDj4hjoOHd56J3P9NqX0gD7WdJzxu8ftJ/fCipQCQ/H+087u821nZnWtImAdDDraUubAs7/BDQWSvEU3DcW2DV5ZMiux63lvHa7h+2c2pC0zmPHWZ7ni52grAZresKj+tHdZddEfdy+pzSgrpwFtS6Jtd1nPMG8C+GSFUNGURQ559nt/3nf93lJn5ekorSK6Ln+106w6+Fg8hnaczCR54gn54mgULSoBTz7rimuvF+XA6ofEBSc9DwARb/fnmUjqoMeQ58cCDIUoduzyrPZ26Pxo4psX9cq+n2SOfL0q1FdPmyMefYLqN20xDzTzbCx+gz1LDiFMiBaQAU5kjQLA0CcvJeHrZd3SwnzacegcPTYiD3Uf7iWt4kvgvdzBJQPEqksRVebtBt2GSgk/GMfb8zNCbt+SjOt90mNFCRWHZpfspOSjMrDHhlIau7SPWXv38dd7YMW5pXQBbAkn42q06M22jQEEeV5zzrrBd57Yak97Bo9LdQbwdjLhOKhm9nP0OSCnb/pIG/3QJt1KK5L8j3NwsFImZdRT/SWIqVUOFngacRxYL/l3jaBUeM7T0ZBjaMHHMq3bbbNPSSpB6TwrkvaZ6XotS/rSmfMsRE7Jhs9smklGXZO1UAHzZ5JT7dOGOtz03ad3VfNY3oaOjv2TFOBLDtv76q2A0Nn3P5hHsD7iqrNNbIb6NypgjoUiVWg6Iz0yZ0ugEN+z1tscXt6E+/Hhz5n52l6h40o+7p9pkGGOhWukbSjJI3AeVYI2Tyye3xNfCjwRTKUr4c329Dudc6VR1HUvUwNeUWj6ZykV8+8quVr5/QDqskr1x9/vR9JpElvKX/tYL4Aslu+F74OPFv6U59CRS7MgxjM+LIsnjDdED2egJORok+SlAIbtq8LJoHSbZvgsCfZ2CpowS356DAQ/fTM4STQTAYgetbvcR5y4WXdWm4lwpo8ahCP9VrPnt4/SYFJUhyq5ElizNcJjarvO6EV77CzBWHTi2xo94LqSzooLGR47mk3VJTTnBz0eE9Hu621VQMte7fkcvENHbbE6CB5N0k6Ngqycx6FlZUgvW1JGoK0YjlwX/53r5WWlKSanhpz7ZfT7NyrW+LCP5Kz6pmhqBh+XINQkBdz9v3d08jFmIkqa5gAa+0NAeT69UtZdqE9A1JgPtRm2/sc9SkWwaQiY8WnRtDYZDMafWfs2ll3J88pKnzcnGJT8ovjvM6mgCJFkVZSfCF6mcSOxijQIXynDlEShqFbZ5qnhXkGdCzcmmfHiZw8SaqP2z2lfdKexxvzeZ3RfZ0Ytuv0HDhJktQNey+hGKgTRK+SeO9dX2jf6aDnjH1hwBrQjUlIzzfV4ufv+rTdu6MO4FxClF2Slobtmh7cD/Q+zzq9vcKe513jdp1tSqyedkbOdzKbqZAXwpvdGfKbkl4hR31Q0jdedf0n3HncIGl0mWLyiKS7nHMFy0WQdy1fCwgICAgICAgICLiscTHl/b6i89HopHOuU+fVQz4j6WvOuX8tqV3Sjyz/+YM6L+13Sufl/T4sSVEUDTnnfkf6pw4un36lMPJ1f3/Fvw9DCIe0LCVpASKt5C32Q+RZkpry7HWiNFBBjSSdBN3eEsjhjfu4L4AGoLlWeNJiL0L6vwAYIS/Bm/Dxx6jDFskUHR3h6GUJdLehYrbBGf79rJj9W5L0KcvnJj5lEP2k3488njEVv9XHV9cJS+K04tMDNq3aLJbDIlAjlR1FNiJ6klkK2Flyc4F9z75kyjOD9v73j9hrnimlBpCpcpB7oqJZiSN9hen2b6nbpo8iRXO6BhIKty5txM+TZOfpSXtPfTMcvV2fsNGWF4dsVIe6okpSOqwT0jzeVcx7x2qj18RbliQHw0rfWdloI2U3eNYeRUof7rbUkz1JjlQdGbORznOgzxzzRF8XQYoukWvXvktw5imt1O490ZQNS84+z9HXPIj+UqS3GDq4Hh5j6gZRj6ri9jlHPVJ0I1Bg++njlre8OQ1LsvSBOvt5ikr2zHB9CFHM4tAZ0Teds+DzpVn27Brp5d8n9EEqeXeRnWff6eYzgmwEGhPaIyXphUH7+fects+ZvcsT0a2178qVQCE9Sf5JioHdVXKDPY8/3GpreyQpAi5lFXDhN3XYuePrdvlcv43yJ3I8bX0vgIupOvJ+z3+6A/42kvRznu95QNIDb+S3lyJpegWv8h8mvmz+7mfitvJYYu5rD6S/a3J4GT7eDQsmaYeaeLsSa7RSI5h5z8FCB/v6HLtg5oCTJTF1hGx6KrLzqYZQIxTyM9I8OtykBU3UjUyPEgxt+C/3202gypMWolTjd/vs4pxc4LRYVZYdVOIkZnmabhBOT4JCBxiVxOeU+GCkYlJf+ndTvn1XVDxEfEyJaRYF0F7X1zTisR5qN2/vtpxtBQ0AzacKGs6sy7HP9F86X8Lv/GByp7lGBaJHJ9gour3YbuyjoHntS3V2g5LLDUn7Un1FZl3QMOnIqP39kXOcEu8ftZvPHHCkx+bZUSnKAOcT9o7aGuvl50ILZ0nKgYY7ZVC4RTULEhuVFOTwOdlTY/ZZC0EfeL6F50QMakEWoUD58HHujDkL+3w31QJk2Xs6OsJGGfV1oP14mJoVSNo/bH+/OdUaahvzeO/60ml7bRdw9H2qJxkx6zzNAU83kqWDSFLRJDUGeyN9IexgnYECnyEo/Kv07Gcre4dIUgoEbnwNa25I2nf16D5LE7kncQI/n347GA5QtOztIU+OZr6tOXHVHi+93VK0UoDPnplrz6MUUJyRpDGgjqR5uuJeCGuyM6RzdtHfl/gx83fZHqOM+He0iEhyTZI25NnFMQSNUHyFJo1QUEWY8/AsiT+XBAL/355liQ8y6oljXQD8vQUP8Z0WNxn6Dbl8AFP1eiFw1XxjQs7TfzxpD+u3FVmJKUm6rdga4F8afNlce3ucuyASJ/E4KETkewztokxrRJRDVKUXDtAJz77QDT5Fcz7MUw9HewHWxBkw1LbnswH0QKv93mugEUYJNICSpCYoZiXVkDxqjyapFgxocjRGoUD1J5LX4Hc+028H9RbodrWniAuKNkDLYqp8n/QU7p2Zsou3ItM+lO+wpYY/rRCmP+bhQ7/v8HfMtd9veIe5Ro1tJOngWTtWnZPWUP63wH29tsk2PJGkyRG7JqjA9ekB3nuqwbChzEPfFFtAcVinswP2mTrb2ag7BtxfilLnp3OkjRwA6ph4EjIX58VyLShw8nCfLcZ8RylLg1LR+B3l9j7nPNHPOBjVJMNZCpJ3Ehe/Ud3CX7fz57OgwPs6WBKbYI+SpGIw1ibm7dyHaYKNuiSpADIS5Z5upwSK8g9AzUdqCUfpuz5n11//qLUxqOBdkgqb7O+nVtvPRxNMMh/eZ1/g9JTdJ/rHrUE/7FHGInNm0bP3XghvNkc7ICAgICAgICAg4KrAmoxod82N61Mdj73m2q9VvtX8nU9dsBUcLqAPKZPlHDUK0esT45YoUZbBqiPXF1svmATudxVy+LYiy7rBlFL2SF5rS2J1TSNKs+w9dUAjBkmqzaFIlfW2fREA4iiXZ9qoQGqKRzkAIljHxqy3fA7uSZIGQIvwg0kbvfYp2ewbtp41ZUkGZ3hSbc6340dSgNQGmSJykvTw5AFzbWOupT68POrRewdaWxkwCpLZzLt/f52NLOyDFB5FDyXmfqdCWnKC5HEkpYBCDcnbNcKc/GY3l4q06kVzrXjE6tVv8mSt2qBlM4hOeNUgiOaQCUoypHgjSelw+Reb7A2cwOin9Nl195hr1Ma6FnSUJSmZYY+kqmy7d+2D4b/OI1t2dsBmjkogonhumo9D2idpnlDWSZJOgJpDPdBUOkEhQeLo9fcH7X5wfwNTT07APkfa8vsGbTamKY/PqARsU29J2pDugCfre3+tvdcMkHGcXOD9cAH2vge77X5C1AlJ6gLFppVKZZLU6mnM1AdSgIdG7Od961SgZQ3lER5de05RDs/ajMwiNPYpyeAzbnO5pV6UvAX04js5ohxFdvMndZieIeZDn33SDkBdme0hMDTMtQxP9trsyfgqo8/UVEySykAtbNZDxbwQ1qShXZyaq58qvvM11yqg69Ew6MtKUiVI1FEK5+GRM/j5xpQqc21edsIVAs9N4u5wpfC3DTlcpUYbax9INy16rELqMUDNDE5O2Hu6oZg3ZioSw7SMx1Al9gLRMcioOH/dfsGWPDtOT4yzbNmWGSu7VgTUlVIw/iVuOPN7Z2xRx64sLv5pn1xdSv/aYvueyaiQmP7wTJ/9zuYCPuyoyJAoASXlnCq8Azi1iVRL3fF1p2sFLdxKoD6cpjZ2kgqAUkJGdRFosb6znKkf80vWoSfqDhkqknQzaIv3QzFflke2rB1SpT3Axz7o6XZ1W5m9sQIwINd71ikVTuaCZCJ1i5RYi/jIsJ2T94GO8fwUz5NCcPTGobtdCdPOUbau0druys1mQ3vDDkupGDhl98mdtVzk1QeFWvfnWUO1tNqTkgfqSTY0EHtLmb2nUo9R1g5jXZlF/SfY0GystUZddg0dCPhxzcBQdU3XmWsZHufrXZV2TkxBY6ZScPwkKRsKJw+O2vH7PuynEtNLc4DO9dWB4+baniwupCZp04059veTnpqZvCqQS92xwVxLK+Mgw/iL1lGjNRHzvJOuIbsmU+DcPgLzWZLqoQPsQ932nXSD5/xO6EopSQ912Xn+7sY30L56GWvS0I45qzXZMWUfdWze15mRDma7sd+aU4eff2nMemE/VGEPZl/hYBloxGan2nuijUGSXhiCtqtwBhWANrUkPXzOLsT31QEnEbz6enZWsf6hCVoWHx7mQXly1vKhP1Fho6+UjZCkO8vsIizKsJGy22QNakl6ecjeVwnw/85NM89zU8K+v5dHvmS/M/oEfr4hYTcM52kDvhK+otdBUM3ZBrqrnoAwZlkoohqDDp6SlGy21+5uPmuutX2fW/6OzNsI2hJU1F9TwHOKosd/1P28ufYj+deZaz69n/q4/S9pMPl9jZkSUEuxaZM1SnzIPlZirs0s2vHbnWRLn1Rv5hao4Q3PqWw4RLdCc51DIxy93Q41Amkpdk1RzcvQIEe6kqU2zbN5wl77q3a+J5pThUDpjDxGZcb1tkixciecMevYyS6CbKhm7R4ddfCkym+xc+r0uH2A65P2OfPT2UmlZmOk4e5rjhIjAx7Gz3k6S6blUubJI48EKE7YMR0EJ3FbTS9+PgWeq27Ifr4pwUbhNEgpHRq18/y6DGvo+njnw7AmyKiugiJ8SVoi+3saIoxN9fj5TT/Vai8urr5defE56zzOddj5d98GDoYtgO3Q8eQ6+/kKa19R8zJJekelvf+s/Mu/Yc2bgvSUSNUrItiP9dpNYGCaPbtmONfHwSj3SdnVZtgvKIaWsSfHefhTYGMfApmiQ6Ocvu2BqpD10ISnyyOaf0jHzLVkz1ZzrQn2EDJIJW6Ys7uIGtbwxn5X3BrVROfx0QyyIPpKxaiFHuejH5yKsxCqvKmE3ylFVt5b9ElzbXSB5yRtrREMAHUQzfdET0nibRj2kBJIn0lcUEeNMIbPcZajrAKaoxTbsGLtZm75+y6QR5wHo3B4gn//W+fsBP7dul3m2qPd9pmaPdQPcijfSGOjFojWVNZDmr2KI8K9B+z4UeahkodEf9Bu5bBuLbH7zM23nMPPU6GUg0631y55tE0BEVQ4z560EclDh1h1o6rYet+xNuhiCE25JJ7nZ0DycdwjJacZWNPXbzGXojg7Cm4SxmoAooqdHGmsLrTzZ2+p/a0iaHed4ZHGjKdSpNSu5yf62XkZ67fz9NRR20Ww2EM7owLTQRj/XHgmSRqCPSEb/tZX+JYOGfIciKgmPJXoSxEULUNGoJdoV3EO8x+Hzpx/12mf8+NNbGh3nLJ7z/rvWeM59Vb8uFQHQgJzq0xlS0ops+8/cyfMvzjbPakdNs0x8l07fjV5Vho0N4835CWP8/xGEYohAwICAgICAgICAi4C1mREO4qk+RWeCMnONXpCfeOghUxNbEY8fYxHFqxnO7NovTAff4w4mX/ftXrhe9KcJim8Dk+m7deqbLQlN80+64FhO355VE0l5j+SlNrOIn5OSmkXAHeWKD6SlMy0kZFpeCdEh5Gk7YX2e6kVbr9Hy74mbkPNO4ps5qPdU3yThFRrMtMu3+sKbQSF+PmSdAa4y++osh68zxt/tNv+7X3AdXux29IZJGnDEzayUF5qo29Zxfz7lNGg9P3sEo/ptgL6W3ttQy7pWPM9dUEEiugUVDQqsTb+yRZLkdmQMoCf31pi+cC/+XyZuZbrWac/W20bHhXl2uh1GnXAkuQKINqUBvPPp6VL3wl1F1l1dj1sWerEz3/xkfXm2r3r7N/2wr4rMZVvatE+/3d7bEROkjbPWvqBW7R7lzt+Cj9P6fuoy9ITux/h6GkbFGNSfcsgaDZTExcfSAqO6lgkaXjCzpNxoEIOjTBtjNAxBWn+GL/T1gk7/64psOMXH+HnzwMZVqJTnfJk08ahGJWy3iS165Nb3Qq0v1LIRnZOcJahqdTuKTPn7OenPteOny9+G4w10BudR25V6bBPxOE7szybZ4Fdk7XZ9j0R4zINJFAlaQGKxmfGPCniC2BNGtppKZHKV4jvt4GaxFLEqTrSqCXuaYmnvVoRVPoOAp+VCgQlqRN4vntL7CZwBorBJOk0GNC0iIs8Qt7UXDGCphljIMZPzXIkNopI+aDAszGToU2NUArAIZCk+lqbVv3kJmuU9Ht4mt/rssZiBmx4qZ7WeFUF1oDcCVXimZ6D4TmwqzYDdWcGNnufjjbRXOZBt5YaWUjSW8vthvPl0/bzn9rGNAEqaqGGPS+0Ms+RGvaMAMWLHDpJ2g5cu8f77Dsh6sd60OCWpEEYKnK+duT7DnD7sv5XmzWUfsSjxlAat2P98U2WOpHm6WI4A81l8iutobk06JlUoCMe+Uj+AAcOgAM6WEqjpYlk38FdUX/qVuvQHf4zu1H5NOwXwfnamADjG2hLkuRKrLE4/5fP2GsDPE7Hj1tPs6bU/n6mpxbiVw/bCfhbm+zaf6Lfzqlt0OVYkkbm7NojvXefQ5oJNUcrg2MXAhnVZEAdGObv3AzP9R1ogPWhBqYUHIOOmWeg5iPu0aunTtHUbZR6dfR7Colpn88Gg/7MJAez9t5k9wSXbZ9z9FHeO579C7umsuA9d02x81GcaedpSdye2xWbmaOdvseKUGxP2nP32W67ngoGubiduj/fdS07GhfCmjS0M1IXVF/4Wl7n+2ttVKcCeF6SNAmHDXVn8+HgsP3bY8CfOjNjDwBJugPCv1Ro8qkzf46f/2TVR8y1ATD0f3kXTxgq9PjioTpzLRtmj497ujkPGraMQaTK4+yOgFFeBUUhZ6FhhyRllNhnSt9lD+uaQTYK73jEivH3jFgPunuaN5GsuD3Et0AEYc825iQuwvN3nLWbwyPdNqrWEGejiFQ7HDgKJK0oSf2z9mX9uy12/IqgLbgkHaO29tCauQ0MaoklG8mhaxvng+Fm6Ji4EaQtnwMDaF0OH+B12XasDw1BC26K8kqqgi6G1F1uGKKPkjQ+b+UwyqA1dA7waSXJwfemwE/17eP7P9FnJbYe7LaH9S1J/n1yFJvy7WFZf8ZGpLPfvxm/UyPW0Wi+t89cO/sdTkf1TgCfOdVudLW5niKpQXAeIKLf18FRCip67+q3xntdjY1yS9JvNtrgQTsYqlRHM+gx6khdiAp8PbWMmoFnooK0zmme56SkNA6OTh10v5U487Qe1n6ZR9mLHNL2STvPfVYDBQQomFcGErrUlVSSqGTs5UF78ZOempeUSpDSgZqplBQ+o1LBee8Bo3pojveOZwbsPr8naZ2CU09x4OX2Ips5iiL7+/3w+835bIsdgaZy6SVvnHG9Jg3thcUUDayoIP6hZmtUjo/xAX4GBvfbIBNzfy1PuCNQpLi90L6c2DBMbEk5adZYOQVeKBnUkrS3xBo2uzdaQzGrghfsbL+9XgmydfsH7CawFSgWkjQGjgq1kqXNRpJmITTSC5rTnow4NziDTQRT35KKm63ywz8+ZCNopGEucVFNxV1wAOdxJzVCc689BNIfscZj6yinX0sy7Ltan2PntE9hghQF+qEgaect1qiRpLxee68j8HnqQidJByFalYQukruLPK2x4WAmp4IKH33yemSYwDDr+kLeO6pz7Yb/QyBld2iUo1LXQBfOpwfswVQDxVyS1DJhDbANzTbzMzHFv39kzO6TVPuU6Rk/os6MQebn5UM2cHLjfasvsEwptU5eaiobVUXgqEyCQzLocbIzv2HfaSYECQph35akATDgaqusUZ3NgkmaPAwylgn7TCUgZfc/TvI8ubfSOgVVWaunmWCWAIrUNvIRifrYZLxPzrOJQ9r+6TAn6+/hZ6oER69gv42UzniyHOdgrpAyWhuoaB0Yt+tRknYm7Nlxm10mXidbcRjselvgmGw6hB/PHbCG7t/uazDXri3mot2cVJKhtOPvyxyd/Z7dk57sse+kFuSTfWNyU7k9u1LrPJPyAgjFkAEBAQEBAQEBAQEXAWsyoh1LiZS/ooCFyO7pMx6eIeDtFdaz9/EcSWKuEAr3NuaxnxNz9nsnINX0Yw0cKSQ5tFjC/tZUB0f6Os5a+kEecJ+vLbYeZClwwSXJgWThswN2+tUyRRp5ttOQvvRFP2ch+t7/dRtBKt7IkUbScy0F6tGkR9t8HiKd0RREizyFIi7NXk8ptlGl1Jj9TuK3S1It0BTo/v18Xjsmmwrs3EvbzrJru1usHFN7n41qFHq0fKviNtLZmLDvxNeYqm3Sfr4NgprQx0OlnqYP80v2O2n0lyByK0n177bXSl6wnMRrh1mftm/YRmqfgS6C6+P8TtfF7filJuy9xjxzYh1InNVA9PbACEd/d+aDbN+o3RSoIOzGUY+Ifgmkmsft76SCNKUkLQLNYBrWyWLkaZhTbX8rLWn/NnUnc8x3UxOuLKsPrC6OdN5742lzbaDdRsn7x+1+8rMbOMO3ENk1SZmLr7V79h5YuwQfdSMD9oQknLGJMo5UxmBOp2RDhnF9Nf/+VpsN37HJZo1nDzMlobLNjnVuvz13N0Mycu8CR1S/3Q167zAmC0B7kSRNw1jNg92zjavTY6CD/YEmOya+YsiNM1ZadBH0ZmMFPHeiaTsnNj5iz/iNFZayme7JxuS+x/K+Vbb6rPMrWJOGdoqLlLniIDzWZovZSK9a4vQndbha8Gys63LsS3txyP7t/jHeGD/xVpta2ZFm0zJpVZy+jYDnOnHU3tOTx3kToU58ZGjnp9mD6aURXkQ3AydzOzQS8ZVNVcAm2ABGgY//dfK0VW54cchuWGMn2QDvVpEmAAAgAElEQVT6yG6rJ1oG6ceTY6zGMAvKH0cfBpqEJ6WeiNvfKlpvaQJVtiu8HnuIDd1s0Mj9/GlrrHyswVOlnrBG1SmgXa3bAPqqkorvh/T5SUvRqXyOD6sN0B46A4pv2j3UGXJAdhdCy10oiBmBNSaxEs5N0K3T5/y4Gy3POH6XHf+cFw7j5wuPWOf7VwfsPtPbxu90Hg7hlIS9VlbPRm1xmTWMhvqsUTEwx3OSlCeKgY/bBe3SF07wfpq60XIqZr91wv6dhzefn2sP6z87aY2Nn1zPSjBgkyp1k92PFPeIm2eAYRGBU5DqMaBWmbcenrX7EWljS6yPnQ8dQG8t9dG27KB8rcMar7eV8Jg059v5l5th96N4sacWgVrDg/MY6+e9RxvsnuIK7ZgszfLn04ASkYBi3OnF1Ztot5fa75yBvSsd9khJWjpnz5iozdoiKcXsfLlc0NCHABGqi0hyUIifQttElkeBDeoedg1axaQFYJidO8O879xacH7PcQfXC2FNGtpLkdP0zGs3p8PQiez/tPNh8ZP19oV3Q0XwwRE+bN9aag+brml72PxoLstBZayzG7tLwOSa5QUzedh+fhA2RiqSkqRB2HCrcuzsnI+sUXmDhw9LXa+ac1cffc1MgcMe7n9gjg3drimSk7L3GvdILh49bR01iv5S5F7iCOZZKLJqmeBNpCrLvuuiXnuI3LjLbiwJj0TXFGzCPwOybcSTk6QiqBIvhXkisaEdXWNbQ8bibeZa3hl7TZIK66yj4cAmqc3jef7iIzYysbHaGvrUcTBtnA3Vf+iy1+ugW2QS2ppLUgTSVVFtrf1D6GoqSYvPfMtcy9xhnZ9K4IJL0uKkvVeXZgc1+07uYhgN2D01AdzfD4FqhyTseEgNX2YPWY5yy/c88npvt/OXjN8XzvA8vbbeRtquKbDfWVzo67gHRbvDdo9eOMgdQGMF9pxZmrQPMHKMDe1RcDSPDNlC6gEIBlDWUJJKMuw8of30SdijJKkiyz7Teogy0x4lSSfH7DrrmbHGUgM8pyS1Q9H8FtgnbpzlxkyxLjvPHcgTHYVOrZL0TWiW9c5Kmw38Tq91NIph7CWOXpfCHh2HAJUkRdDo7uBj0EQIumpKUn6xHb9FmPsZnk69JNiVAsWsKSTZIinWCMFUqNnpPW7nTh7ULEiSRmyUXlNvvDNk4GgHBAQEBAQEBAQEXASsyYi2JLkVkVHqj/CjNZxSBsdOQ+DE5EKq7PznIfqaab24c8D9k4Rkt8UO60GPnuDP9w1ab3nleEjSMYgKSNJG8FhbgRJxfGx1PDuJGxc8DbqtDSCxJEnUWT0TIq0+3dZcSMvtLrDX+kHhQJK+ftY+fx2ocU15Cu93l9v/cJoktjwcc5KXHJi10Y6y4zaC89vtJ/E7f6d+g7lGESzfe66GJjxDIOdUe9jSbiTJNYJMAqTPs3Z5mlZAa25BsybFeJ3UFduo6BJE0EahkUm6pzU1Nb3omrHb7GnIZkjSNWctp1GpsE1ncUo9DbTNSfdrqpMjlanQ4GL4Rfv5wn/ViJ8XpH/pWpS++r1DQDPIqLHjVDdu6SCSJKAkLEDDEtLMlaRukNKrBSpXzMPxTgXN9f7H7IHS0c/c17OQjRuCuoO31drIuyT1TgJ1B6LXRHsanuSsLWUeSYXo3io2MeJQS7IfmD+1Cf58EzSRIh1pkouUpDqI6naAkk7Rfubj9k/bOUXt6j3dxrUt3z7/X3XYzNM20Nv3ZSjHQGGldcLeZymooklS/oyN3rZDY6E8Tzbuu4fsfj4JCiG+MRknZS5QR0rzZL3vfLtVguk/Zt/pMchy1M5xlD7v68fMtcz7oD7idbAmDe3ZxZhOrmiG0Qod98j4lbi5yy3F9lrLOKdvSfprAagDlVmeIrNWm+45ftRuwr93lGkS90JWd2UDH0mq8kjRnYKimDYQ478XUl2tnpR6NxgbzaCt/fkO5jneX2HTQglIi4149M43ldvvnQJDVx4+L1FiaMMgLVdJygCeaTlIJmZ6isxI93Z9jt3wSHbs99bxxjALD0D3f0MRb0LUeKACeOtn/pLnWWHJy+Za4kY795YGPdrioyDPCB710oyP+W/H9Nk2y8n76w47pr+yhSWqDo3aw/KeckvTGPdwvHv/xMqQxgutAZlzNxfOCYrMFtqBytbNnMTSpHXoU9OhkcUkS9FpFt71HHRnS/d0V4t5eMYrEbcGQPw+1rcb/bo9gGme1ObwM+Vl23VGcmA+udgFeP5j0DSD+LSSVJ1t7+vomJ1nI5PsfJHmOjnUOVCHtCWXjaoj8Kx0bm7z6BMvwnn4n3bb3yJdfUkaBhnQBzvtPd1dznSeA8N2nyfqxZznnYyCUVvg7H70Z6fYRnhvDdRyJO08KQbeOemqS9IcOLQbcu3zH/Q0Z9kAtL+bwHmjuXv+9+1YlcEZ/bLH0B8H1tieEnv/pM0tSWMt0AMC6shKwVHIgXGWpK5T1saqPxk42pLOF0MmVnRYo3bZPlAjDmpFu6eYN5FEut2ESYyfWtZKUncbcOqgucfbKzgqNQu22inwbBvivImSqUdOwThs4AlPoUUqfJ4i/9cmmNNGrVTTofL8Fs87ySmx76SvxY4pbRaS1DJO7c7t+PnanceL7O9X9FoD8ukBNvSp8HQKxq8IIuLFnggEGXst4/ZahqdAcwjefx9EenJgPUjSrz9mHYBfGbSRyo5h3tiJ905zyodyMGBoE/71bTbSk+YZkx+usWE5MsryPYflAkR1Htxfb67dI6skIUmZ5fbz46ftmCQ8TvYUKLFMzNhruU8cxM8PPmXX6RgYZVmZrNqSDaoxi+A85221n41tZeejtcNGJaugY9yToHgjSe+AQ7gbMhIVCTbq0sDJ3lhi50mWhzvb0WUNo4/fZNu1xzydIbNP2+99esAKLJd6OlsT9pbYIMtBaJdOmVRJ2vFua9SlFEOQhlLRkjRl986bRiFDBaoVkrSz2P7+0rj9W1/h345h+/wzbXZOJ7O4bmDao++9ElQc71OBennUvkCo2cTus5LkQPC/+E67xydHWe3s7BPWqaCeJG8p9ehowz5J2cRNHh3uMXh+UhLass3e/8IUz7OhPvv+Fwc99SUXwJo0tNNji6pa4Umvo8PC066bBNEp2kASTz5QWuq5ATYKCtOtAUitxfM9BswDrfYQ2AUZMCpmk6Rj4xCphIORigGfgu5OklQEBRwJaE877WnXTCoDfVDg6msQkFFhr88dhSZCnoPhp7fZSOMXDtkites8jUioGmJjtY2yz3oMxT4oUKVoB23M5BBJ3IgmB6Z0L2x2knQQmqbkwDvdAJJ/Eks5rmw0JUkn4JokTeKatH/ni8h3TNgbWG238B5PcxJyaoZn7fj1wn4kSducNRbI8X/mECsG7Rq3Eag/PWAN9e35vPazIP29a711fga+x3vfODj0XZDlyp3lvev7rVZO64akHZP5OWvUJgW0G0lbb4SmF+fswUrOrCSNQvR0FJzUJY/iUEmFvdeSZui4Byo6krQ1HTICMWvALI2yAdB10I7/B+qtoR+H8+TUMDsfOXBPSQh8lBWy4IAjhZUCoFP5MhwloI4zaZ8/ZZrnuTLs+4uRmkUmr1O3YOdUVpbNnMTaeE41NtjC1/kZ+0wjIIMZ89ALt+fZ598/ZC3tUnD8JJbHS1lvA18uyZ+vybL7fOUg0Jk8zpODbnPRFDhkHnm/hS4bOFmE4zijGeRCoThXkuIL9v21fI3X+YUQiiEDAgICAgICAgICLgLWZER7fjGmnhWFfoXggROdQ5IaIQJ3ZMh69qcnOdI3OGf9lw7IKn6gjr396gJLf2iDAkcfz/MXm20EiPjM1W/h9O2OPGjE8pxNtfaetd7y+nwe0xaIjFD0kPjlEutjP9Vvv/OWEvvskhRrtPSDa5rAg+4DOR9JEaSWfi7bFvn9z+eZD33HdusFp/daD3zPbk6LLXTZaAV56/MT9pnGWpmOUwgR8WJIafq0dK+BYNeOMhupOTHA6dPmXPv7/RA9J113SSoCTuURkOH0NREqybJjehyaozw3aOd5k4e7+iI0jMmBIrHbKq0uviSNTNnnJ9kxKnKSpLk2u4B2QvR60pM5OQPUkc1QEPeNkxxRvwkKTPF3IJsgSXXQROn7A5Y6cT3QhjKP89rJLLbj3wl0jP3DvsI5+/z9QPuLPE2IZibs/MvOgiKxYZ5TKWV2rKJpu3cvjXqas0CWjlqYjwLty9dY6TlorrIeOO6+MVnqsQdi1AmSeVQFL6Z0UAOwaJLPOJQhXw/7FBX3SlIcZDih5uWYJyNQWWnPmdQMoFdSTwxPhjIVIt0JoE4UefjIC/1Q83Ic+MhUcP4GkAJzX5IUgbQoFMO6TN7PU6ts9N/12zWFjeI8FZoO6EyVlUyduRDWpKHdNe302wdfOxnvrrQvYU8xp7SH4bCn6tkMTwqnNpuK3Oznh+Y4BbK9ylNotAJPdXLThztvs8+Vei0cjA1cPEQTPqvvWXMtd2T1XKU6MHaI5lEBToYktcFhOwLjV5TwjF2BTUlH9XZMHCgcSJI7cNxcSyzZcf6FPFb4cI2bzLXYXdB1yqOPnAYbftq0NcCyDtvf3/k4a8FOE3XprL20voIbgSzM28+3D4Dzs5d//+wBu4kRp64hj7epflBj2Ftj30knFD5JrDry7R77t6T37lOoqIEq+eq4TX9mQXGyJJU3WwPk2Au2uckt0BhGkipq7QH+9EE7z+vgniSpENRAiGdLhWMSqzEQRcmnHPAXp60RcSNQ9EkXf+YMH+DJPrtO5sDRuK2EjbKTE/bsODtF+znPiV2gENLxbTun5xd57RcV2ndFhZdTc9wxkDi947B3kkPpe087C6xR/Fiv/fxhcFwl6UONNkjxlQcbzLUKTy0BdRbdB4bi++v5/suA4lXxnF1TvnW6uGjfSaLQ3ms+qF1JUtsZy+XMAu40FX1+D3piSEwHI5bGjMfJnoct5f9+xTruPm3z28ptkOX0qN27dtRwkIH2mSUo2k2Jsd0RL7bjR425UqHe7o8OcX3H77zHnqcxT7+cC2FNGtpV2Uv6zztfu7mOgRSYj8/bAqobOwvsAfYCdBaUpGqIngsCUHWe4pnsPfZkyRq3k+v+DHYUVGdl21QOUU0wqCWhnFZKkd3YZmftmPoiIFQpTZ28fG2Q47AJUUR/fNqzCgbs+3MFYICledQQmu0hkJK0Bmhms0fMvgRI8iDRFnkMbZEcWtzOU1died+peSz7lSX7/spG7AGSmetxPlLs9e110MF0L0f56/Jta/HJY/Y7s2p5Tq2DYsZozs6f8gQ7b0uj9vk/6iwXv3fIRqm7Jpk3TuYnZV5+tIIjv+l32rHaVmejSnNtbChT0weKXjfn8d5jS+Sk3Eo7p+/IsO/Oh7RsKOhiW0G3QGfTCBqhHIUsTUMpj2kK8M4HuuzaOzXBa39XAXRlhTbSW4v496mxUncLRKk9e+ehDhtQiTn7TD7JSWoi1QNnXN+M/f3t+bz2yXjfVWCf8+at4LlLWoJs3LMD9vc/tpFrXvZA0f3tJVAw7slm9UPNy6kuu6a3QAdKSfpOj13T2ZC5uquSmxD9Tbudv9/vs+vsYxvtM3mC/BgMJBnI+SVPMAfW5A6ojzjtUeb61lk7T3dDE6cukMuUpIEZuybTU+zecWyMpVGvK7L2UB5kLb/cYgNcbyvjeXbygM1yNO7x2F0XwJo0tFNjSyoteO0LXoSiAF+RWD4YdbRg8zzFMySRBpx6lRTwYacKa9SRHJXGPdHbSZg00DZ08RmPvjGkSufO2An7xFl7nxty2QB4CVLqt5fb7zw3yM7LGERgumfsfZZ6ihrGHgbZQLiWWczvNH0vdOejgh7ohCVJardRXfeSlW1zCV8bZnguarkMDkXXAf7OnBzr6MzB3B3s5o1tCtLnyQL7/jPyuHgk5TprVCauAVO1kOcESbxFKatPa6bCmihYsO9k6kU7TrtLmGK0AAoZ18IBnJHwCK6D8+d2QKv5DZ6i23m7d727zh72S6SlJWn+nL2e0WzfX2YN6wsLOltiQZunXXgGpeqhoO36Ies8LXXzd/7Bn9q1e/9GawB+FMZJkiZBR75nxI4JRe4lqb/VztOucfv5Y2PsvN1UYikx3aCN7QtytA3b9dMDkdIZaEKQ61GRaofff7zX7gd3/TjvHeQofnidNWrTPZrRJ6HwNBscjf0jbFTeU2GNpXywB0hHWpIGINC+BeRqpzw2xu0ldv5WZ9mxIkN51HPGVIBRWZpp52SuR0QhrcqO1eKh1e+nORAkewqi7w05PKeI3ktzOukp5iTVmyRkvmqAcZAV4+98stca2vU9TFG7EEIxZEBAQEBAQEBAQMBFwJqMaHdOpOmXnnott+hXNtsIFInmSyzlR+mKJk/0tgt4ilR4OQfeqiSpD1KQM9bbmz/BqcquA/Ze4xC97IcovyS1QbSAxuTRbvtMVdmrn1Lj0IVxCFJ6kpQNkQ0K8nd7ZNeWTluuGHHiThzhMbn5tJUOK9hk38nCCNNx2o5zQeBKJPOYv3aSPGtIleWCtvfBXubit7Ta8b8mH7o9eqIy1dAdr4ak/Fo8NIN0mCv5kL/0UZz+f5Gw62RhFFK1MPfSMjnSFoMsF/EMYxzok05aiTDMZmR6KE5JW8vgEjaqE5ti7musEa7D50VSaJJEjWjeQJYBo9/0eYiIp9A4Sbqr3Eag8ivsOlmY4vskOhvtHb7o5QJQd5pqbEHVNqDYSNLAObsmbrrWzpMUT7PNWaBkfOewjfLXxe3zF0OUVJL6IaJ/M3BkXRlnozIgI3LdTRBV9PDWG4ctbS8as3P3LqA3StLSDNCJjtjfyq/k538rLJOpYfsC0qEpmSSNDsOaBI7yQ912/O4o5Ux2Jki79kPWtyKHI9opNXbvaH6f/a31R3k/7z0FdkfcDpSvsVNpg83wj3Xbd+LTZk+BzOHQsL2nsgqbTZiG/hGSNLdk1+5TL3Eh+IWwJg3t2sJZfeH+ttdcGzxjDbDfP8oVwR9sgAYF03YRUTGexC1SM2N2cr/Uw4040r9uU9p9w3azzcng07oVKp2fb7XPf1sx88+SwJ3OghTiT2+wzz/uEeKvhKISUpg4Pckb67Z869QQz7QHnByJu11St0zqwiZJT7fbYokKKLKicZJY+5Q0r8mglqQaKBLthsOuHdRxaAOW2Kh+dpBTpYR64H6eOmEP0JFD/E7J0V1XZB2N8q3cnCVWBOsP2o2TwoDEdQeTvXb+pkPhH3GEJd4TWsbtnNyax/Os6IA92DNTobFOGfPOc2+2RqWDbpHePsjkvQ7b97zYx0EGAvHGve8EaGtLo3Y/Is1dl8drv7zYrtOZYfueH2lhh7Q00+4TVAz7soem8OFmS1NJbAAlkAR/vnodFLkVAB3L19xFdq405Ni9czGy30l1NJK0Jd/e/wGgqGiWKUoq4e6EBp6J4sAhd6CjTVQqSYpN2OcqhTXpcj2aybB+sifsPFma5nfS8bh91wXg1CxGdj9PZjJtjJR8iLedn8ufj4AN55L2+TO2skNaWQT2BCiU5M3w3peSbdd+UQk4b7D2Jd5n8qfs3I8VQVM1UPGRpMJhG2BreX51QbNXY00a2i7mlFrw2lH/9hPWULqvihcxTeT8dDA+PR2W+oAXVASLqMtTTLn3Mfu3f3+9XZhdYx6JrDy7Yuhc/Wo7byIUmSDeegIqqqvA+JKkPmibmg1G6RaPoUpFEWSoVnkM5QmPFOJqvlOS6uC5jkO3zuY8NoDS4P4PD9nDZqPn88OgfJBJkVbguHZ4ZCgT0ATpnVXWUDsK3DdJGgBHqRoKfI96uKe0+jaV2kjVoWdsNkJinmgpyFg6sVFJB9vj3XXmWnPu6lSAJJmOtBLLEJZ71skQZGR6puw2HfN0hzv6JTvWuR55RkICxiQN5tk4jL0kHQJH78YqGzg469n7iOdM+0QevOdJT0Q5HaLf2Rl279oKBe+SdAYa7lAx4AfWc9ExJWQWBiHz0cdGLRkQ6bChUyGwJA2eAtk+yLBuSFhDKdujupEFzkcpnHvzh6A2RlJKGziEWSDlBkWnklhijgqhPM4HOW+zHXaepRWyAZaSa+81mrHrhNqCS1IFdDDuga7At5fYfcLHW6eutt0QeBr0tECP77fZyIyq1TvU8732vhzcayyPx2S+F+QZwRxI9ZSHLMH8XxwFycBU++6jOT4jFsbt9ea7OUCp7/JlKXC0AwICAgICAgICAi4K1mREO1qMtDD8Wu/mdmgQcdjTSINklog/lZvN/K2jkELbXGU5eT45p8+mW/7c+IyNsvsa7uQAL6o+sh50kYcmQHzsdcU22kNi+lke3dA8iExkQ5Wxb0x/e5+V5Hl3lY2qrM/3qEFEq4uU5QPvWJKmoGU2RcB8908R6c3UGMnT4CAOkfbNpTZa1Au6tRnAXZNY3zkDxoSqwSWpHqLvFJEkzV1JqgMd+yeBonNjJTRNEFekt0CWZ08FNxgYgizLHmh4dA6k/Ao8UeLPnbBZjt+9wfJpn/No4JN01xaQkRzwyAsSRakKFBbaOzl1f2oQsixJG31s9Uh8bQOJu2lYO5Ue2bQhWCdP9tl7IurNmCdrtRH2BGrY0gaRa0naXmzH/4lz9v3dUMSZj5dbrWhiY8x+5wzwaSVpFuh4iy12olTXcc0OZQ8q8+3azQA+MXFcJakAxr8Isgzdh3mepsJ+NgbNmnIgci5Jo1N2TpUCdWF2hk2c7Bz7/k+APJ0Pm0Ch5shp+/kNZdyDICMOGWIYP8qwnoYaKokbcO0GbetWWOOSdPh5e31nG8xTj2RiATQs+tJxy2f+QCPUoUgambRrnzLh9Z4zvhPGhZgEGafs2PtssX19Nnz+vs2sTnQhXDGGtnPubkl/KCkm6QtRFH3G97fRojQ/5uOr/QAt48yJa52w168ttIt42CP905hn/3YANqw+T+Fe+5T9/bIsawD+cQt//jfS7YQjecK7y3nCDoL0UwdM4q3V1oA52sm88wQYa5ROocIhSfr3uyxX6hxwlKkRhSQ9BdqduwrsxkBGlQ9NxdYAWfB0MTwKhsn1pXbBEvVBkhaW7HxOA+oHORTrICUsSdMwJ9JAIoucTIkdLToY6FCSpEWQwqNGKr5ahoehUGZngb3/CSi6laQ5cCi/2m4dnftrV6+beme5/X0yYHzvGQ8GkLNKio26gwP2YFgP4zw8y3SiogwoEoQ5XZbNDinx7qmxUGc//34dHNbroZCbfocMakkqBMnJ1m4bZMn00HGI+nFHrd2PRjyBi3wPz3klqGBdkmaBT470RODSS1Icgh/kkDckrFGV4aFHjozZs4f2EwowSOwQHoIA1S1AO5KkSdh72nrsO80Ayp4klcDvU32N7zwhycfaQrtPpGfx+PV2gzY/cKxJis+3H9O5TYGv7fVMcWo/Z8ePKGo09pJUmmHH+p5Ke0aehi7XEj8rBRNf6mfuSAPQFqlw8lEIcviCQdtBcGBp0COtegFcEYa2cy4m6U8k3SmpU9I+59w3oyg6Sn8fLTnNrGg+MA6T8DoQU5c8kU44AJ/q5oKom6EN9fN9lmda6anovh5eLnm7vnbltGERTzXN19kybg874gNPQVSB9FklqZC4s7AIIjAoJSkrYT9fOGvHb9Tz+6R7Sgu71BORJ493YNwedmToSlwgS4ZqIThUEisaTEOB7jAYlVtKmfd9uNfOSerktruQDRjSoe+ZgVbzHt49RSCI++pziHcVeirqVuAIFWlJSgJP933QWZIOK4oySlIZzPO+QTumVM0uSdPwvT199gBsgD1Ckp4ZsO9/A+iY+4qWqZaD+LzkpEjcDKMPItpdnkhjeoo1wOkApSAFddGTpPlBe6+9UF9wdooNiPEFu042g1H1dx3sEDbnggEB+0mqp+HM42BA1sXtd/ZBrwKJ31UJKGYtwd/56oCo6DcPgim+LoTQb0ebIEDlc7KpFiKRZsfkaehUK0m74L7Kobj+geN8yN6+YOfKpjKbYZyf5een/Xx4zq6J6ly7d/sa7VGW5nmIyN4DjqcknYKMTjY4dPSeJWkC9mnaO31ZY3Loj0OAioqTJXaKiM9+E3QEJidRYqeGFGteD1eEoS3pOkmnoihqkyTn3FclvUsSGtoLCykaXkH4p8k56RlciiqRB94yzhO+KttODmolu3+E03J7knYTGaCWwx6j9Mykva8NOXbCtU7yYTm5YDfsG0pstKMDWlv7vG2iFLQBTaIajHyJDRBMqXpSQARqF13hiWo90WvTatXZ0NzD83m6SpGBBU/Tiwl4VgePmg6/78u80Dt56JydJ7XZHH0cgIY11LTgyCBTtMiAzoB1lkz3KA/AXJuEzfrIqEcJB6Qo3wodwhZhnHo82Sia/491WUON5o4k9YOjVAw0FaIySVIR2Jok11nhKRoeBQOKHKqzkOaXpPocO355YBRVZfE8/+8n7bP+RrP9LRrnSTB+JG4tPgWBTp8Qyyis00SqHdP8NP6Ch7rs55vyVqm6IakYIoVE76P9TJKKoEguBkb9S+2W4kLqKhLvc7RH+YQ5j4ESzztrbPT6BU8Ds1ww4DogG5mEQmSJ588IFI3fWMRGYTzV/n7/iDVUfVRK2rvKV2l39ICTKHnmxJy9dgL2I0kaBEM/E4phUz1n3PO91ilqgKLv6jgHbiZgTzs8Ck3RIEAisTQwKZvlQ4DNRztDFTFPr7EL4UophqyU9GqNpM7lawEBAQEBAQEBAQGXJVx0sZpB/AvCOfdeSXdHUfSR5X//cUnXR1H086/6m49K+ujyv26RdPhNv9GAgAsjKYn1rgICLh3CvAy4XBHmZsDlCJqXtVEUIdfpSqGOnJP06vLVquVr/4Qoij4v6fOS5Jx7IYqi3W/e7QUEvD7CvAy4HBHmZcDlijA3Ay5HvNF5eaVQR/ZJ2uCcq3fOpUu6X9I3L/E9BQQEBAQEBOMmc80AAAT0SURBVAQEBHhxRUS0oyhacM79vKRHdF7e74Eoio5c4tsKCAgICAgICAgI8OKKMLQlKYqiByU9uMo///zFvJeAgH8mwrwMuBwR5mXA5YowNwMuR7yheXlFFEMGBAQEBAQEBAQEXGm4UjjaAQEBAQEBAQEBAVcU1pyh7Zy72znX4pw75Zz7tUt9PwFXH15vDjrnPuSc63fOvbT8v49civsMuLrhnHvAOdfnnAtSqAGXDK83D51ze51zo6/aL3/rzb7HgADnXLVz7h+dc0edc0ecc59Y9WfXEnVkuVX7Cb2qVbuk9/tatQcE/EtjNXPQOfchSbtfrQMfEPBmwzl3q6QJSX8RRdGWS30/AVcnXm8eOuf2SvpkFEX3vtn3FhDwCpxz5ZLKoyja75xLSHpR0rtXY1+utYj2P7Vqj6JoTtIrrdoDAt4shDkYcEUgiqLvSRq61PcRcHUjzMOAKwFRFHVHUbR/+Z/HJR3TKjuUrzVDO7RqD7jUWO0cfI9z7qBz7q+dc9Xw3wMCAgICzuNG59zLzrmHnHObL/XNBFzdcM7VSdop6bnV/P1aM7QDAq4E/L2kuiiKtkn6tqQvXuL7CQgICLhcsV/n21tvl/THkv7uEt9PwFUM51yOpL+R9AtRFI2t5jNrzdB+3VbtAQEXGa87B6MoGoyiaHb5X78gadebdG8BAQEBVxSiKBqLomhi+Z8flJTmnEte4tsKuArhnEvTeSP7y1EU/e1qP7fWDO3Qqj3gUuN15+ByUcUreKfOc70CAgICAlbAOVfmnHPL/3ydztstg5f2rgKuNizPwT+XdCyKos++kc9eMZ0hV4PQqj3gUsM3B51zn5b0QhRF35T0cefcOyUt6HwR0Icu2Q0HXLVwzn1F0l5JSedcp6T/EEXRn1/auwq42kDzUFKaJEVR9DlJ75X0MefcgqRpSfdHa0kuLeBKwc2SflzSIefcS8vXfn05y3JBrCl5v4CAgICAgICAgIDLBWuNOhIQEBAQEBAQEBBwWSAY2gEBAQEBAQEBAQEXAcHQDggICAgICAgICLgICIZ2QEBAQEBAQEBAwEVAMLQDAgICAgICAgICLgLWlLxfQEBAQMAP4JwrkvTY8r+WSVqU1L/871NRFN10SW4sICAg4CpBkPcLCAgIuArgnPuUpIkoiv7rpb6XgICAgKsFgToSEBAQcBXCOTex/P97nXNPOOe+4Zxrc859xjn3Aefc8865Q865dct/V+yc+xvn3L7l/918aZ8gICAg4PJHMLQDAgICArZL+hlJTTrf/WxjFEXXSfqCpH+z/Dd/KOm/RVF0raT3LP+3gICAgIALIHC0AwICAgL2RVHULUnOuVZJjy5fPyTp9uV/fqukZufcK5/Jdc7lRFE08abeaUBAQMAVhGBoBwQEBATMvuqfl17170v6wTmRIumGKIpm3swbCwgICLiSEagjAQEBAQGrwaP6AY1Ezrkdl/BeAgICAq4IBEM7ICAgIGA1+Lik3c65g865ozrP6Q4ICAgIuACCvF9AQEBAQEBAQEDARUCIaAcEBAQEBAQEBARcBARDOyAgICAgICAgIOAiIBjaAQEBAQEBAQEBARcBwdAOCAgICAgICAgIuAgIhnZAQEBAQEBAQEDARUAwtAMCAgICAgICAgIuAoKhHRAQEBAQEBAQEHAREAztgICAgICAgICAgIuA/wePt2jVPXTtxAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "hop_length = 256\n",
    "stft = librosa.stft(clip, n_fft=n_fft, hop_length=hop_length)\n",
    "stft_magnitude, stft_phase = librosa.magphase(stft)\n",
    "stft_magnitude_db = librosa.amplitude_to_db(stft_magnitude, ref=np.max)\n",
    "\n",
    "plt.figure(figsize=(12, 6))\n",
    "librosa.display.specshow(stft_magnitude_db, x_axis='time', y_axis='linear', \n",
    "                         sr=sample_rate, hop_length=hop_length)\n",
    "\n",
    "title = 'n_fft={},  hop_length={},  time_steps={},  fft_bins={}  (2D resulting shape: {})'\n",
    "plt.title(title.format(n_fft, hop_length, \n",
    "                       stft_magnitude_db.shape[1], \n",
    "                       stft_magnitude_db.shape[0], \n",
    "                       stft_magnitude_db.shape));"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x360 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# number of mel frequency bands \n",
    "n_mels = 64\n",
    "\n",
    "fig, ax = plt.subplots(1, 2, figsize=(12, 5))\n",
    "\n",
    "fmin = 0            \n",
    "fmax = 22050# sample_rate/2\n",
    "mel_spec = librosa.feature.melspectrogram(clip, n_fft=n_fft, hop_length=hop_length,\n",
    "                                          n_mels=n_mels, sr=sample_rate, power=1.0,\n",
    "                                          fmin=fmin, fmax=fmax)\n",
    "mel_spec_db = librosa.amplitude_to_db(mel_spec, ref=np.max)\n",
    "librosa.display.specshow(mel_spec_db, x_axis='time',  y_axis='mel', \n",
    "                         sr=sample_rate, hop_length=hop_length, \n",
    "                         fmin=fmin, fmax=fmax, ax=ax[0])\n",
    "ax[0].set_title('n_mels=64, fmin=0, fmax=22050')\n",
    "\n",
    "fmin = 20           \n",
    "fmax = 8000\n",
    "mel_spec = librosa.feature.melspectrogram(clip, n_fft=n_fft, hop_length=hop_length,\n",
    "                                          n_mels=n_mels, sr=sample_rate, power=1.0, \n",
    "                                          fmin=fmin, fmax=fmax)\n",
    "mel_spec_db = librosa.amplitude_to_db(mel_spec, ref=np.max)\n",
    "librosa.display.specshow(mel_spec_db, x_axis='time',  y_axis='mel', \n",
    "                         sr=sample_rate, hop_length=hop_length, \n",
    "                         fmin=fmin, fmax=fmax, ax=ax[1])\n",
    "ax[1].set_title('n_mels=64, fmin=20, fmax=8000')\n",
    "# librosa.display.specshow(mel_spec_db, x_axis='linear')\n",
    "plt.show()\n",
    "# plt.colorbar()\n",
    "# plt.tight_layout()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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PmfliAA7rqHXtWd9T+9t0S/4cgF8+eEOTopMkqTEGaXovy8zDGnLezBuBp0fEAcDFEfGDzNww0DEmAZK2y+RJe1TlZ0x5BQDPmrZrVferdUsB+P7qr1R1du2RJLWbYorQYR++FJhT937Psm5L+yyJYiDdThQDhOtiyDsiYg1wILCAAZgESBqyXafXbmAc0XkkAFM7O6u6G3qKAbu/Wvql5gYmSVKrJeTwxwTcBMyNiH0oGvsnAK/rt8984GTgBuA44LrMzPKY+8uBwXsBTwUWD3ZCkwBJW7TfzvMAeN7Eg6q6pRvWV+WfbPoOAKvWOg2nJEkAw52ormzAnwpcQzFF6EWZuTAizgQWZOZ84ELg0ohYBDxCkSgAPA84LSI2A73AP2TmssHOaRIgjVNdXTOq8iE7HA/A83barar7ycqiy85Xl51b1XV3P9qk6CRJGmO2rzsQmXk1cHW/utPryhuA12zhuEuBS7f1fCYB0jgwdfKTAHju5Nrfjn2nTanK16//PQDn3Gs3HkmShiUhe2Lw/UYJkwCpzcyYdgAAL5w0r6qbPrHot3/dxl9Wddcu/RGSJGlkJEGvSYAkSZI0juTwxwS0gkmANEbtMv2Qqnz05GMet/3aDf9dlR9+ZMBZwiRJ0nZKaJ8nARHRATw7M3/RpHgkbcFuOx1RlV825SgA1vfUbjf8YN13qvKKNQubF5gkSSpkGyUBmdkbEecBz2pSPNK4Vz8X/7wdijv8azfXGvxXrf4G4NSckiSNNr09Ha0OYciG0h3oRxHxt8BVmZmNDkgaT2bteHBVnrfDsQBs7q19za5c+U0AHl17R3MDkyRJ2ySzeI0VQ0kC3g68B+iJiPVAAJmZ0xsamdRmdpiyLwCvmn5iVTe5s/bY8KrV3wNg+epbmxuYJEkaAUFPOz0JyMwdmxGI1E76FuJ65U7/p6p70g7F1+3ylf9b1f3p0Z80NzBJktQQmdDb2yZjAgAiIoCTgH0y82MRMQfYPTN/1fDopDHkxTu9pyq/4AnTALh0Wa0bz5X3Xtn0mCRJUvP09I6dJwFDifQLwHOA15Xv1wDnNSwiSZIkaazJIHu3/hpthjIm4IjMPCQibgHIzBURMbHBcUmj2kEz3wDA2/bYq6q7fMmjVflDfzin6TFJkqTWSaBnFDb2t2YoScDmiOik+N2IiF2BMbQemrR9+hblevuux1Z1i1Z1A/Cu28+q6jK7mxuYJEkaNYokYOx0BxpKEvB54FvAbhHxceA44MMNjUpqgWJtvMLrd/tAVZ49rag/78FvVHVO2SlJkh4jIbONngRk5tci4mbgRRTTg74yM20BqW0cPuPtALxj71lV3Wfuva8qX/rnS5sekyRJGmuCnnZKAiLi0sx8A/D7LdRJY0rfXP3v3fP1Vd2ilT0AnHzrx1sSkyRJGvvasTvQ0+vflOMDDm1MONLI+5uZ76/KR+5ejGn/+JKrq7qHVy1oekySJKm9ZI6tgcFbTVci4gMRsRp4RkSsiojV5fuHgO80LUJJkiRpDOgltvoabbb6JCAzPwl8MiI+mZkf2Np+0mgya8eDAfjYXrWZfH64dHNV/sfbP9b0mCRJUvtLYkw9CdhqEhARh5TFb9SVK5n564ZFJW2D1+5Sy1H/crfiv/S/3P21qm7N+nuaHpMkSRp/2mVg8L8NsC2BI0c4FmlQfQN7Af5tv2IR6x8urc3P751+SZLUCgn0ZBsMDM7MFzYzEGkgL5nxXgDeuE9tsepT7/oWACvWLGxJTJIkSZWE3mx1EEM3UHegIzPzuoh49Za2Z+ZVjQtLgk/sX1uTbsna4udJt3inX5IkjT5JtMeTAOCvgeuAV2xhWwImARoxc2a+CIBvHHRgVfeW22p9+X+34muPO0aSJGk0aZcxASvKnxdm5s+aEYzGl/oBvcfMLjLn5/z07Kous/txx0iSJI1GCXSPodmBBnpm8Xflz883IxBJkiRpLMsBXqPNQE8C7oiIu4A9IuK3dfUBZGY+o7GhqV2d87Sir/+iVbW6N//Gvv6SJGnsyoTu7egOFBHHAJ8DOoELMvOsftsnAZcAhwLLgeMzc3FEHAWcBUwENgHvy8zrBjvfQLMDnRgRTwSuAf5mmL+PxrHJk/aoyj8+/DVV+d23PQTArx79UtNjkiRJaoRiitDhJQER0QmcBxwFLAFuioj5mXl73W6nACsyc7+IOAE4GzgeWAa8IjP/FBEHUrTdZw92zoGeBJCZDwLPHNZvo3HrwJknAXDxM3eu6p53wzer8vqNS5oekyRJUmPF9gwMPhxYlJn3AETE5cA8oD4JmAecUZavBM6NiMjMW+r2WQhMiYhJmblxoBMOmARIQ3Xirv+3Kh+7Z/Hz0Os/0aJoJEmSmisZdJ2AXSJiQd378zPz/LI8G7i/btsS4Ih+x1f7ZGZ3RKwEZlE8Cejzt8CvB0sAwCRA2+mjc4v+/fWZ70m3nNmqcCRJklpmkCcByzLzsEadOyKeTtFF6Oih7G8SoG12+SG1qT2/t6QXgK8+9PFWhSNJktRymdu1TsBSYE7d+z3Lui3tsyQiuoCdKAYIExF7At8C3piZdw/lhAOtGPxdBpjRKDMdLCxJkiSVBukONJCbgLkRsQ9FY/8E4HX99pkPnAzcABwHXJeZGREzgO8Dp2Xmz4d6woGeBHxmWyJXe1vw/HdW5Xffuroq/3zlua0IR5IkaVTZntmByj7+p1LM7NMJXJSZCyPiTGBBZs4HLgQujYhFwCMUiQLAqcB+wOkRcXpZd3RmPjTQOQeaIvR/+8oRMQV4UmbeOazfTGPWA68+GYAjfvz7qu6+lde2KhxJkqRRKYHu7VgVLDOvBq7uV3d6XXkD8JotHPevwL9u6/kGHRMQEa+geCowEdgnIg4GzrQ7UPspupfB2nccV9XtemGRC65dv7gVIUmSJI0J2/MkoBWGMjD4DIq5S68HyMxby/5KagOdndOr8tp/fhkAUz/zraqut3fQGaYkSZLEAINpR6GhJAGbM3NlxGMym7H0O2oL+hr/fQ1/gMmfurxV4UiSJI1pmdvXHajZhpIELIyI1wGdETEXeBfwi8aGpUbo6+4DsP5DxwIw8aNfb1U4kiRJbWS7VgxuuqEkAe8EPghsBC6jGLX8sUYGpcbY/Nk3VOWuf/xyCyORJElqL8WYgFZHMXSDJgGZuY4iCfhg48ORJEmSxqbtWCeg6QZaLGz+QAc6O9DY0POFt1Tlzn+4oIWRSJIkta92ehLwHOB+ii5ANwJjp5OT2PSRYpG5Cad+rcWRSJIkjQPZPknAE4GjgBMpli3+PnBZZi5sRmDado+eXFtd+onn3AZAb+/6VoUjSZI0brTNk4DM7AF+CPwwIiZRJAPXR8RHM/PcZgWowd3yglMBePF3anP6P7L6tlaFI0mSNC61xZgAgLLx/3KKBGBv4PPAtwY6Rs3xhQM/VJW/tKjoqbXgUSdtkiRJaoW2WTE4Ii4BDgSuBj6amb9rWlTaolftfFpV3mVST1X+jyWfbEU4kiRJKrVNdyDg9cBa4N3Au+pWDA4gM3N6g2NTaULXzgBc/Mp7q7rpF13WqnAkSZLUX0JPjp0sYKAxAR3NDESSJEkaq5I2GhOg0WHjLR8BoOOgd7c4EkmSJG1Nu3QHUgtt/uQbqrKNf0mSpNGtncYEqAW+dFAx68+rPrWpxZFIkiRpW9gdSNtk1o4HV+XnPWE5AG+/7YutCkeSJEnbKNtoxWA1ycO/emtV7jjgHS2MRJIkScNlEqBBdZ/zpqpsw1+SJGlsS5KeMdQfyCRAkiRJGgFjJwUwCWi6LxxYDPx99cc2tzgSSZIkjZRM6O5tdRRDZxLQBDOmHVCVj9x9GQD/8Lv/aFU4kiRJGmHFFKFj51mASUATLL+lNs9/51P+voWRSJIkqVFMAgRA96feCNjwlyRJGg/GUA5gEjDS/t/TP1SVX3t2dwsjkSRJUrPYHWic2nHqXABeOufPVd07F/5nq8KRJElSE2VC93YkARFxDPA5oBO4IDPP6rd9EnAJcCiwHDg+MxdHxCzgSuAvgK9k5qlDOZ9JwAh59PbTAOjc+5QWRyJJkqRmS3LYTwIiohM4DzgKWALcFBHzM/P2ut1OAVZk5n4RcQJwNnA8sAH4MHBg+RqSjmFFKkmSJOkxMrf+GsThwKLMvCczNwGXA/P67TMPuLgsXwm8KCIiM9dm5s8okoEh80nAdtj88ddXZZ8ASJIkjV8JdOeACwXsEhEL6t6fn5nnl+XZwP1125YAR/Q7vtonM7sjYiUwC1g2nHhNArbROU/7cFU+6bMO/JUkSVKhZ+A1g5dl5mHNimUwJgFDNHXykwB41d4PVHXvuf2CVoUjSZKkUaQYEzDsJYOXAnPq3u9Z1m1pnyUR0QXsRDFAeFhMAoZo9V0fA6BzzsktjkSSJEmjUe/ATwIGchMwNyL2oWjsnwC8rt8+84GTgRuA44DrMoc/HZFJwAA2ffSkqmzjX5IkSVuTQA89wzu26ON/KnANxRShF2Xmwog4E1iQmfOBC4FLI2IR8AhFogBARCwGpgMTI+KVwNH9ZhZ6HJOALfj0AUW//zedN7wLKUmSpPElSboZdncgMvNq4Op+dafXlTcAr9nKsXtv6/lMAiRJkqQR0LsdSUCzmQSUJk/aoyofv18xDuN9d1zUqnAkSZI0hiRJT4ydXiQmAaW1iz9dlTt3P2mAPSVJkqT+kh7GzvTx4zoJ2PjBE6uyDX9JkiQNVwLdYRIwqp21fzHw9y0XjJ1+W5IkSRrN0jEBo9HECbtV5TccUKzKPPvbX2lRNJIkSWonSdLD5laHMWTjJglY98C5Vblrl9e2MBJJkiS1m2JgsN2BRo2NpxX9/m34S5IkqXF8EiBJkiSNKwn0plOEttTHnvLhqvz2r2QLI5EkSdL4kPT6JKD5urpmVOW3HnRvVX7iNy9pRTiSJEkaR9J1Alpjw7La6r5dM17dwkgkSZI0/iQ96ZOAptnw3hMAG/6SJElqpeJZwFgxJpOAM+aeXpXf+fWxsyiDJEmS2lOS9KTdgRqis3MaAO845J6qbtcrvtqqcCRJkqRCJr12B2qMjauvAKBr6rEtjkSSJEmqSUwCJEmSpHEnc+x0Ux/1ScC6d51QlX0CIEmSpNHIMQEj5INPLgb/vucqF/uSJEnSKJdJb6/dgYalIyZU5fcccTcAs77+tVaFI0mSJA1ZYnegYdm0YX5V7pr00hZGIkmSJA1dkvT22h1oyNa+o67Pvw1/SZIkjUlJr2MCBnfavh8ufs4fZEdJkiRp1EvSJECSJEkaR9IpQrcqoqMqn/ZXxcDfGRd/vZkhSJIkSSMu7Q60dZu7r6mduPOoZp5akiRJaqAkXTH4sVa/tRj8a8NfkiRJ7SlhO54ERMQxwOeATuCCzDyr3/ZJwCXAocBy4PjMXFxu+wBwCtADvCszr2EQDUsC/nnvD1flD/93o84iSZIkjQ7J8Ba5jYhO4DzgKGAJcFNEzM/M2+t2OwVYkZn7RcQJwNnA8RHxNOAE4OnAHsD/RMRTMrNnoHM2LAn4yJGLqvL0iy5r1GkkSZKk0WHgdvdADgcWZeY9ABFxOTAPqE8C5gFnlOUrgXMjIsr6yzNzI/DHiFhUft4NA52wUUnAmukXXXpngz5brbcLsKzVQaihvMbtzevb3ry+7W28Xt+9Wh3A4PKaZPMuA+wwOSIW1L0/PzPPL8uzgfvrti0Bjuh3fLVPZnZHxEpgVln/y37Hzh4s2kYlAXdm5mEN+my1WEQs8Pq2N69xe/P6tjevb3vz+o5emXlMq2PYFh2D7yJJkiSpgZYCc+re71nWbXGfiOgCdqIYIDyUYx/HJECSJElqrZuAuRGxT0RMpBjoO7/fPvOBk8vyccB1mZll/QkRMSki9gHmAr8a7ISN6g50/uC7aAzz+rY/r3F78/q2N69ve/P6tqGyj/+pwDUUU4RelJkLI+JMYEFmzgcuBC4tB/4+QpEoUO73XxSDiLuBdww2MxBAFAmEJEmSpPHC7kCSJEnSOGMSIEmSJI0zI54ERMQxEXFnRCyKiNNG+vPVGBExJyJ+HBG3R8TCiHh3Wb9zRFwbEXeVP2eW9RERny+v828j4pC6zzq53P+uiDh5a+dU80VEZ0TcEgThhtYAAAUUSURBVBHfK9/vExE3ltfxinIwEuXgoivK+hsjYu+6z/hAWX9nRLykNb+J+ouIGRFxZUT8PiLuiIjn+P1tHxHxT+Xf5t9FxGURMdnv79gWERdFxEMR8bu6uhH7zkbEoRFxW3nM5yMimvsbarQb0SQgaksevxR4GnBiFEsZa/TrBv45M58GPBt4R3ntTgN+lJlzgR+V76G4xnPL19uAL0LxBwz4CMUCF4cDH+n7I6ZR4d3AHXXvzwY+m5n7ASsoliSHuqXJgc+W+xGPXZr8GOAL5fderfc54IeZ+VTgmRTX2e9vG4iI2cC7gMMy80CKQYMn4Pd3rPsKxXWoN5Lf2S8Cb607bkzNYa/GG+knAdWSx5m5Cehb8lijXGY+kJm/LsurKRoQsymu38XlbhcDryzL84BLsvBLYEZE7A68BLg2Mx/JzBXAtfiHZ1SIiD2BlwMXlO8DOJJi6XF4/PXtu+5XAi8q96+WJs/MPwJ9S5OrhSJiJ+CvKWaOIDM3Zeaj+P1tJ13AlCjmBp8KPIDf3zEtM39CMcNLvRH5zpbbpmfmL8spJC+p+ywJGPkkYEtLHg+6bLFGl/LR8bOAG4EnZOYD5aYHgSeU5a1da/8PjF7/DvwL0Fu+nwU8mpnd5fv6a/WYpcmB+qXJvb6jzz7Aw8CXy+5eF0TENPz+toXMXAp8BriPovG/ErgZv7/taKS+s7PLcv96qeLAYD1GROwAfBP4x8xcVb+tvJvgnLJjUEQcCzyUmTe3OhY1RBdwCPDFzHwWsJZaNwLA7+9YVnbvmEeR7O0BTMMnNG3P76wabaSTgGEtW6zRISImUCQAX8vMq8rqP5ePFSl/PlTWb+1a+39gdHou8DcRsZiim96RFH3IZ5TdC+Cx12pElyZXwy0BlmTmjeX7KymSAr+/7eHFwB8z8+HM3AxcRfGd9vvbfkbqO7u0LPevlyojnQQMZcljjUJlf9ELgTsy85y6TfVLVJ8MfKeu/o3ljAXPBlaWjzCvAY6OiJnl3aujyzq1UGZ+IDP3zMy9Kb6X12XmScCPKZYeh8df3xFbmlyNlZkPAvdHxP5l1YsoVo70+9se7gOeHRFTy7/VfdfX72/7GZHvbLltVUQ8u/w/88a6z5IKmTmiL+BlwB+Au4EPjvTn+2rMC3gexWPH3wK3lq+XUfQj/RFwF/A/wM7l/kExE9TdwG0Us1b0fdabKQacLQL+rtW/m6/HXesXAN8ry/tSNAIWAd8AJpX1k8v3i8rt+9Yd/8Hyut8JvLTVv4+v6rocDCwov8PfBmb6/W2fF/BR4PfA74BLgUl+f8f2C7iMYozHZoqneaeM5HcWOKz8/3I3cC4Qrf6dfY2uV2Ta3UySJEkaTxwYLEmSJI0zJgGSJEnSOGMSIEmSJI0zJgGSJEnSOGMSIEmSJI0zJgGS1AQRsabf+zdFxLmtikeSNL6ZBEiSJEnjTNfgu0iSGikibq17uz9wTGb+b6vikSS1P5MASWqOKf0a+zsD8wEy82CAiHgF8C/AL5ofniRpPDEJkKTmWN/X2IdiTABwWN37ucCngRdm5ubmhydJGk8cEyBJLRYROwD/Bbw1Mx9odTySpPZnEiBJrXcR8OXM/GmrA5EkjQ8mAZLUQhGxF3Ac8OaIuLV8HTbYcZIkbY/IzFbHIEmSJKmJfBIgSZIkjTMmAZIkSdI4YxIgSZIkjTMmAZIkSdI4YxIgSZIkjTMmAZIkSdI4YxIgSZIkjTP/H88BekJJ0qzKAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 864x216 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "melfb = librosa.filters.mel(sample_rate, n_fft)\n",
    "plt.figure()\n",
    "librosa.display.specshow(melfb, x_axis='linear')\n",
    "plt.ylabel('Mel filter')\n",
    "plt.title('Mel filter bank')\n",
    "plt.colorbar()\n",
    "plt.tight_layout()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "from pyAudioAnalysis import audioBasicIO\n",
    "from pyAudioAnalysis import audioFeatureExtraction\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Collecting eyed3\n",
      "  Using cached https://files.pythonhosted.org/packages/75/66/b1d97f06499199b3b3dfcd25e3f000c4256e7f313b3a0aae2e3d24e6acb7/eyeD3-0.8.10-py2.py3-none-any.whl\n",
      "Collecting hmmlearn\n",
      "  Using cached https://files.pythonhosted.org/packages/d7/c5/91b43156b193d180ed94069269bcf88d3c7c6e54514a8482050fa9995e10/hmmlearn-0.2.2.tar.gz\n",
      "Collecting six (from eyed3)\n",
      "  Using cached https://files.pythonhosted.org/packages/73/fb/00a976f728d0d1fecfe898238ce23f502a721c0ac0ecfedb80e0d88c64e9/six-1.12.0-py2.py3-none-any.whl\n",
      "Collecting python-magic (from eyed3)\n",
      "  Using cached https://files.pythonhosted.org/packages/42/a1/76d30c79992e3750dac6790ce16f056f870d368ba142f83f75f694d93001/python_magic-0.4.15-py2.py3-none-any.whl\n",
      "Collecting numpy>=1.10 (from hmmlearn)\n",
      "  Using cached https://files.pythonhosted.org/packages/87/2d/e4656149cbadd3a8a0369fcd1a9c7d61cc7b87b3903b85389c70c989a696/numpy-1.16.4-cp36-cp36m-manylinux1_x86_64.whl\n",
      "Collecting scikit-learn>=0.16 (from hmmlearn)\n",
      "  Using cached https://files.pythonhosted.org/packages/85/04/49633f490f726da6e454fddc8e938bbb5bfed2001681118d3814c219b723/scikit_learn-0.21.2-cp36-cp36m-manylinux1_x86_64.whl\n",
      "Collecting joblib>=0.11 (from scikit-learn>=0.16->hmmlearn)\n",
      "  Using cached https://files.pythonhosted.org/packages/cd/c1/50a758e8247561e58cb87305b1e90b171b8c767b15b12a1734001f41d356/joblib-0.13.2-py2.py3-none-any.whl\n",
      "Collecting scipy>=0.17.0 (from scikit-learn>=0.16->hmmlearn)\n",
      "  Using cached https://files.pythonhosted.org/packages/72/4c/5f81e7264b0a7a8bd570810f48cd346ba36faedbd2ba255c873ad556de76/scipy-1.3.0-cp36-cp36m-manylinux1_x86_64.whl\n",
      "Building wheels for collected packages: hmmlearn\n",
      "  Running setup.py bdist_wheel for hmmlearn ... \u001b[?25ldone\n",
      "\u001b[?25h  Stored in directory: /home/ambika/.cache/pip/wheels/2c/b6/0e/63a865a30e21e01d04f417d8995fbfb793d6bd464707efc546\n",
      "Successfully built hmmlearn\n",
      "Installing collected packages: six, python-magic, eyed3, numpy, joblib, scipy, scikit-learn, hmmlearn\n",
      "Successfully installed eyed3-0.8.10 hmmlearn-0.2.2 joblib-0.13.2 numpy-1.16.4 python-magic-0.4.15 scikit-learn-0.21.2 scipy-1.3.0 six-1.12.0\n"
     ]
    }
   ],
   "source": [
    "!pip3 install eyed3 hmmlearn"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "[fs,x]=audioBasicIO.readAudioFile('./DataClean/'+df.iloc[1].audiofile)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [],
   "source": [
    "f=audioFeatureExtraction.stFeatureExtraction(x,fs,0.050*fs,0.025*fs)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x216 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.subplot(2,1,1)\n",
    "plt.plot(f[0])\n",
    "plt.xlabel(\"frame no\")\n",
    "plt.ylabel(\"ZCR\")\n",
    "plt.subplot(2,1,2)\n",
    "plt.plot(f[1])\n",
    "plt.xlabel(\"frame no\")\n",
    "plt.ylabel(\"energy\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [],
   "source": [
    "from pyAudioAnalysis import audioTrainTest as aT"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Analyzing file 1 of 56: ./Conversations/aditi daily14_Mar_2013_20-11-44.wav\n",
      "Analyzing file 2 of 56: ./Conversations/aditi daily14_Mar_2013_20-13-01.wav\n",
      "Analyzing file 3 of 56: ./Conversations/aditi daily14_Mar_2013_20-14-34.wav\n",
      "Analyzing file 4 of 56: ./Conversations/aditi daily14_Mar_2013_20-15-00.wav\n",
      "Analyzing file 5 of 56: ./Conversations/aditi daily14_Mar_2013_20-15-31.wav\n",
      "Analyzing file 6 of 56: ./Conversations/aditi daily14_Mar_2013_20-16-02.wav\n",
      "Analyzing file 7 of 56: ./Conversations/aditi sharma17_Mar_2013_19-47-08.wav\n",
      "Analyzing file 8 of 56: ./Conversations/nn1_1.wav\n",
      "Analyzing file 9 of 56: ./Conversations/nn1_2.wav\n",
      "Analyzing file 10 of 56: ./Conversations/nn1_3.wav\n",
      "Analyzing file 11 of 56: ./Conversations/nn1_4.wav\n",
      "Analyzing file 12 of 56: ./Conversations/nn1_5.wav\n",
      "Analyzing file 13 of 56: ./Conversations/nn26_6.wav\n",
      "Analyzing file 14 of 56: ./Conversations/nn26_7.wav\n",
      "Analyzing file 15 of 56: ./Conversations/nn26_8.wav\n",
      "Analyzing file 16 of 56: ./Conversations/nn27_13.wav\n",
      "Analyzing file 17 of 56: ./Conversations/nn27_14.wav\n",
      "Analyzing file 18 of 56: ./Conversations/nn27_15.wav\n",
      "Analyzing file 19 of 56: ./Conversations/nn27_16.wav\n",
      "Analyzing file 20 of 56: ./Conversations/nn27_4.wav\n",
      "Analyzing file 21 of 56: ./Conversations/nn27_7.wav\n",
      "Analyzing file 22 of 56: ./Conversations/nn29_15.wav\n",
      "Analyzing file 23 of 56: ./Conversations/nn2_1.wav\n",
      "Analyzing file 24 of 56: ./Conversations/nn2_10.wav\n",
      "Analyzing file 25 of 56: ./Conversations/nn2_11.wav\n",
      "Analyzing file 26 of 56: ./Conversations/nn2_12.wav\n",
      "Analyzing file 27 of 56: ./Conversations/nn2_13.wav\n",
      "Analyzing file 28 of 56: ./Conversations/nn2_14.wav\n",
      "Analyzing file 29 of 56: ./Conversations/nn2_15.wav\n",
      "Analyzing file 30 of 56: ./Conversations/nn2_2.wav\n",
      "Analyzing file 31 of 56: ./Conversations/nn2_3.wav\n",
      "Analyzing file 32 of 56: ./Conversations/nn2_4.wav\n",
      "Analyzing file 33 of 56: ./Conversations/nn2_5.wav\n",
      "Analyzing file 34 of 56: ./Conversations/nn2_6.wav\n",
      "Analyzing file 35 of 56: ./Conversations/nn31_5.wav\n",
      "Analyzing file 36 of 56: ./Conversations/nn32_4.wav\n",
      "Analyzing file 37 of 56: ./Conversations/nn46_15.wav\n",
      "Analyzing file 38 of 56: ./Conversations/nn46_16.wav\n",
      "Analyzing file 39 of 56: ./Conversations/nn46_7.wav\n",
      "Analyzing file 40 of 56: ./Conversations/nn47_2.wav\n",
      "Analyzing file 41 of 56: ./Conversations/nn47_3.wav\n",
      "Analyzing file 42 of 56: ./Conversations/nn47_7.wav\n",
      "Analyzing file 43 of 56: ./Conversations/nn47_8.wav\n",
      "Analyzing file 44 of 56: ./Conversations/nn48_1.wav\n",
      "Analyzing file 45 of 56: ./Conversations/nn48_10.wav\n",
      "Analyzing file 46 of 56: ./Conversations/nn48_11.wav\n",
      "Analyzing file 47 of 56: ./Conversations/nn48_12.wav\n",
      "Analyzing file 48 of 56: ./Conversations/nn48_3.wav\n",
      "Analyzing file 49 of 56: ./Conversations/nn48_7.wav\n",
      "Analyzing file 50 of 56: ./Conversations/nn48_8.wav\n",
      "Analyzing file 51 of 56: ./Conversations/nn50_1.wav\n",
      "Analyzing file 52 of 56: ./Conversations/nn50_2.wav\n",
      "Analyzing file 53 of 56: ./Conversations/nn50_4.wav\n",
      "Analyzing file 54 of 56: ./Conversations/nn50_5.wav\n",
      "Analyzing file 55 of 56: ./Conversations/nn50_6.wav\n",
      "Analyzing file 56 of 56: ./Conversations/nn51_3.wav\n",
      "Feature extraction complexity ratio: 9.8 x realtime\n",
      "Analyzing file 1 of 53: ./Human-Gathering/gathering001.wav\n",
      "Analyzing file 2 of 53: ./Human-Gathering/gathering002.wav\n",
      "Analyzing file 3 of 53: ./Human-Gathering/gathering003.wav\n",
      "Analyzing file 4 of 53: ./Human-Gathering/gathering004.wav\n",
      "Analyzing file 5 of 53: ./Human-Gathering/gathering005.wav\n",
      "Analyzing file 6 of 53: ./Human-Gathering/gathering006.wav\n",
      "Analyzing file 7 of 53: ./Human-Gathering/gathering007.wav\n",
      "Analyzing file 8 of 53: ./Human-Gathering/gathering008.wav\n",
      "Analyzing file 9 of 53: ./Human-Gathering/gathering009.wav\n",
      "Analyzing file 10 of 53: ./Human-Gathering/gathering010.wav\n",
      "Analyzing file 11 of 53: ./Human-Gathering/gathering011.wav\n",
      "Analyzing file 12 of 53: ./Human-Gathering/gathering012.wav\n",
      "Analyzing file 13 of 53: ./Human-Gathering/gathering013.wav\n",
      "Analyzing file 14 of 53: ./Human-Gathering/gathering014.wav\n",
      "Analyzing file 15 of 53: ./Human-Gathering/gathering015.wav\n",
      "Analyzing file 16 of 53: ./Human-Gathering/gathering016.wav\n",
      "Analyzing file 17 of 53: ./Human-Gathering/gathering1001.wav\n",
      "Analyzing file 18 of 53: ./Human-Gathering/gathering1002.wav\n",
      "Analyzing file 19 of 53: ./Human-Gathering/gathering1003.wav\n",
      "Analyzing file 20 of 53: ./Human-Gathering/gathering1004.wav\n",
      "Analyzing file 21 of 53: ./Human-Gathering/gathering1005.wav\n",
      "Analyzing file 22 of 53: ./Human-Gathering/gathering1006.wav\n",
      "Analyzing file 23 of 53: ./Human-Gathering/gathering1007.wav\n",
      "Analyzing file 24 of 53: ./Human-Gathering/gathering1008.wav\n",
      "Analyzing file 25 of 53: ./Human-Gathering/gathering1009.wav\n",
      "Analyzing file 26 of 53: ./Human-Gathering/gathering1010.wav\n",
      "Analyzing file 27 of 53: ./Human-Gathering/gathering1011.wav\n",
      "Analyzing file 28 of 53: ./Human-Gathering/gathering1012.wav\n",
      "Analyzing file 29 of 53: ./Human-Gathering/gathering1013.wav\n",
      "Analyzing file 30 of 53: ./Human-Gathering/gathering1014.wav\n",
      "Analyzing file 31 of 53: ./Human-Gathering/gathering1015.wav\n",
      "Analyzing file 32 of 53: ./Human-Gathering/gathering1016.wav\n",
      "Analyzing file 33 of 53: ./Human-Gathering/gathering1017.wav\n",
      "Analyzing file 34 of 53: ./Human-Gathering/gathering1018.wav\n",
      "Analyzing file 35 of 53: ./Human-Gathering/gathering1019.wav\n",
      "Analyzing file 36 of 53: ./Human-Gathering/gathering1020.wav\n",
      "Analyzing file 37 of 53: ./Human-Gathering/gathering1021.wav\n",
      "Analyzing file 38 of 53: ./Human-Gathering/gathering1022.wav\n",
      "Analyzing file 39 of 53: ./Human-Gathering/gathering1023.wav\n",
      "Analyzing file 40 of 53: ./Human-Gathering/gathering1024.wav\n",
      "Analyzing file 41 of 53: ./Human-Gathering/gathering1025.wav\n",
      "Analyzing file 42 of 53: ./Human-Gathering/gathering1026.wav\n",
      "Analyzing file 43 of 53: ./Human-Gathering/gathering1027.wav\n",
      "Analyzing file 44 of 53: ./Human-Gathering/gathering1028.wav\n",
      "Analyzing file 45 of 53: ./Human-Gathering/gathering1029.wav\n",
      "Analyzing file 46 of 53: ./Human-Gathering/gathering1030.wav\n",
      "Analyzing file 47 of 53: ./Human-Gathering/gathering1031.wav\n",
      "Analyzing file 48 of 53: ./Human-Gathering/gathering1032.wav\n",
      "Analyzing file 49 of 53: ./Human-Gathering/gathering1033.wav\n",
      "Analyzing file 50 of 53: ./Human-Gathering/gathering1034.wav\n",
      "Analyzing file 51 of 53: ./Human-Gathering/gathering1035.wav\n",
      "Analyzing file 52 of 53: ./Human-Gathering/gathering1036.wav\n",
      "Analyzing file 53 of 53: ./Human-Gathering/gathering1037.wav\n",
      "Feature extraction complexity ratio: 11.8 x realtime\n",
      "Analyzing file 1 of 55: ./Multimedia/1380473168113.wav\n",
      "Analyzing file 2 of 55: ./Multimedia/1380473175550.wav\n",
      "Analyzing file 3 of 55: ./Multimedia/1380473182965.wav\n",
      "Analyzing file 4 of 55: ./Multimedia/1380473190388.wav\n",
      "Analyzing file 5 of 55: ./Multimedia/1380473235674.wav\n",
      "Analyzing file 6 of 55: ./Multimedia/1380473243324.wav\n",
      "Analyzing file 7 of 55: ./Multimedia/1380473250885.wav\n",
      "Analyzing file 8 of 55: ./Multimedia/1380473258277.wav\n",
      "Analyzing file 9 of 55: ./Multimedia/1380473400116.wav\n",
      "Analyzing file 10 of 55: ./Multimedia/1380473415048.wav\n",
      "Analyzing file 11 of 55: ./Multimedia/1380473429948.wav\n",
      "Analyzing file 12 of 55: ./Multimedia/1380473437344.wav\n",
      "Analyzing file 13 of 55: ./Multimedia/1380473444794.wav\n",
      "Analyzing file 14 of 55: ./Multimedia/1380473452174.wav\n",
      "Analyzing file 15 of 55: ./Multimedia/1380473482140.wav\n",
      "Analyzing file 16 of 55: ./Multimedia/1380473519542.wav\n",
      "Analyzing file 17 of 55: ./Multimedia/1380473527020.wav\n",
      "Analyzing file 18 of 55: ./Multimedia/1380473549335.wav\n",
      "Analyzing file 19 of 55: ./Multimedia/1380473586572.wav\n",
      "Analyzing file 20 of 55: ./Multimedia/1380473594079.wav\n",
      "Analyzing file 21 of 55: ./Multimedia/1380473616484.wav\n",
      "Analyzing file 22 of 55: ./Multimedia/1380473661292.wav\n",
      "Analyzing file 23 of 55: ./Multimedia/1380473683986.wav\n",
      "Analyzing file 24 of 55: ./Multimedia/1380474214695.wav\n",
      "Analyzing file 25 of 55: ./Multimedia/1380474281735.wav\n",
      "Analyzing file 26 of 55: ./Multimedia/1380474348970.wav\n",
      "Analyzing file 27 of 55: ./Multimedia/1380474386422.wav\n",
      "Analyzing file 28 of 55: ./Multimedia/1380474393819.wav\n",
      "Analyzing file 29 of 55: ./Multimedia/1380474416267.wav\n",
      "Analyzing file 30 of 55: ./Multimedia/1380474453650.wav\n",
      "Analyzing file 31 of 55: ./Multimedia/1380474461195.wav\n",
      "Analyzing file 32 of 55: ./Multimedia/1380474483690.wav\n",
      "Analyzing file 33 of 55: ./Multimedia/1380474715254.wav\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Analyzing file 34 of 55: ./Multimedia/1380474722858.wav\n",
      "Analyzing file 35 of 55: ./Multimedia/1380474730325.wav\n",
      "Analyzing file 36 of 55: ./Multimedia/1380474737880.wav\n",
      "Analyzing file 37 of 55: ./Multimedia/1380474745359.wav\n",
      "Analyzing file 38 of 55: ./Multimedia/1380474782980.wav\n",
      "Analyzing file 39 of 55: ./Multimedia/1380474790599.wav\n",
      "Analyzing file 40 of 55: ./Multimedia/1380474798063.wav\n",
      "Analyzing file 41 of 55: ./Multimedia/1380474805505.wav\n",
      "Analyzing file 42 of 55: ./Multimedia/1380474813074.wav\n",
      "Analyzing file 43 of 55: ./Multimedia/1380475791338.wav\n",
      "Analyzing file 44 of 55: ./Multimedia/1380475932526.wav\n",
      "Analyzing file 45 of 55: ./Multimedia/1380476014901.wav\n",
      "Analyzing file 46 of 55: ./Multimedia/1380476089084.wav\n",
      "Analyzing file 47 of 55: ./Multimedia/1380476170692.wav\n",
      "Analyzing file 48 of 55: ./Multimedia/1380476237861.wav\n",
      "Analyzing file 49 of 55: ./Multimedia/1380476319910.wav\n",
      "Analyzing file 50 of 55: ./Multimedia/1385044953088.wav\n",
      "Analyzing file 51 of 55: ./Multimedia/1385045631311.wav\n",
      "Analyzing file 52 of 55: ./Multimedia/1385045911068.wav\n",
      "Analyzing file 53 of 55: ./Multimedia/1385046263156.wav\n",
      "Analyzing file 54 of 55: ./Multimedia/1385046891021.wav\n",
      "Analyzing file 55 of 55: ./Multimedia/1385047677100.wav\n",
      "Feature extraction complexity ratio: 9.5 x realtime\n",
      "Analyzing file 1 of 57: ./Outdoors/1380026419021.wav\n",
      "Analyzing file 2 of 57: ./Outdoors/1380026427293.wav\n",
      "Analyzing file 3 of 57: ./Outdoors/1380026435640.wav\n",
      "Analyzing file 4 of 57: ./Outdoors/1380026443825.wav\n",
      "Analyzing file 5 of 57: ./Outdoors/1380026452061.wav\n",
      "Analyzing file 6 of 57: ./Outdoors/1380026468950.wav\n",
      "Analyzing file 7 of 57: ./Outdoors/1380026477248.wav\n",
      "Analyzing file 8 of 57: ./Outdoors/1380026502522.wav\n",
      "Analyzing file 9 of 57: ./Outdoors/1380026510769.wav\n",
      "Analyzing file 10 of 57: ./Outdoors/1380026519141.wav\n",
      "Analyzing file 11 of 57: ./Outdoors/1380026527396.wav\n",
      "Analyzing file 12 of 57: ./Outdoors/1380026528930.wav\n",
      "Analyzing file 13 of 57: ./Outdoors/1380026535636.wav\n",
      "Analyzing file 14 of 57: ./Outdoors/1380026552232.wav\n",
      "Analyzing file 15 of 57: ./Outdoors/1380026568726.wav\n",
      "Analyzing file 16 of 57: ./Outdoors/1380026570062.wav\n",
      "Analyzing file 17 of 57: ./Outdoors/1380026576954.wav\n",
      "Analyzing file 18 of 57: ./Outdoors/1380026582187.wav\n",
      "Analyzing file 19 of 57: ./Outdoors/1380026585146.wav\n",
      "Analyzing file 20 of 57: ./Outdoors/1380026593333.wav\n",
      "Analyzing file 21 of 57: ./Outdoors/1380026594799.wav\n",
      "Analyzing file 22 of 57: ./Outdoors/1380026618048.wav\n",
      "Analyzing file 23 of 57: ./Outdoors/1380026618712.wav\n",
      "Analyzing file 24 of 57: ./Outdoors/1380026626283.wav\n",
      "Analyzing file 25 of 57: ./Outdoors/1380026631159.wav\n",
      "Analyzing file 26 of 57: ./Outdoors/1380026634484.wav\n",
      "Analyzing file 27 of 57: ./Outdoors/1380026642670.wav\n",
      "Analyzing file 28 of 57: ./Outdoors/1380026659126.wav\n",
      "Analyzing file 29 of 57: ./Outdoors/1380026675799.wav\n",
      "Analyzing file 30 of 57: ./Outdoors/1380026684160.wav\n",
      "Analyzing file 31 of 57: ./Outdoors/1380026701013.wav\n",
      "Analyzing file 32 of 57: ./Outdoors/1380026703956.wav\n",
      "Analyzing file 33 of 57: ./Outdoors/1380026709224.wav\n",
      "Analyzing file 34 of 57: ./Outdoors/1380026728159.wav\n",
      "Analyzing file 35 of 57: ./Outdoors/1380026734081.wav\n",
      "Analyzing file 36 of 57: ./Outdoors/1380026740245.wav\n",
      "Analyzing file 37 of 57: ./Outdoors/1380026742315.wav\n",
      "Analyzing file 38 of 57: ./Outdoors/1380026750597.wav\n",
      "Analyzing file 39 of 57: ./Outdoors/1380026752259.wav\n",
      "Analyzing file 40 of 57: ./Outdoors/1380026775410.wav\n",
      "Analyzing file 41 of 57: ./Outdoors/1380026776233.wav\n",
      "Analyzing file 42 of 57: ./Outdoors/1380026783667.wav\n",
      "Analyzing file 43 of 57: ./Outdoors/1380026788375.wav\n",
      "Analyzing file 44 of 57: ./Outdoors/1380026791969.wav\n",
      "Analyzing file 45 of 57: ./Outdoors/1380026800259.wav\n",
      "Analyzing file 46 of 57: ./Outdoors/1380026816690.wav\n",
      "Analyzing file 47 of 57: ./Outdoors/1380026824267.wav\n",
      "Analyzing file 48 of 57: ./Outdoors/1380026824917.wav\n",
      "Analyzing file 49 of 57: ./Outdoors/1380026833150.wav\n",
      "Analyzing file 50 of 57: ./Outdoors/1380026836225.wav\n",
      "Analyzing file 51 of 57: ./Outdoors/1380026841429.wav\n",
      "Analyzing file 52 of 57: ./Outdoors/1380026861549.wav\n",
      "Analyzing file 53 of 57: ./Outdoors/1380026866223.wav\n",
      "Analyzing file 54 of 57: ./Outdoors/1380026873660.wav\n",
      "Analyzing file 55 of 57: ./Outdoors/1380026874362.wav\n",
      "Analyzing file 56 of 57: ./Outdoors/1380026882715.wav\n",
      "Analyzing file 57 of 57: ./Outdoors/1380026885472.wav\n",
      "Feature extraction complexity ratio: 8.7 x realtime\n",
      "Analyzing file 1 of 63: ./Scream/breath.wav\n",
      "Analyzing file 2 of 63: ./Scream/cry1.wav\n",
      "Analyzing file 3 of 63: ./Scream/distress.wav\n",
      "Analyzing file 4 of 63: ./Scream/distress2.wav\n",
      "Analyzing file 5 of 63: ./Scream/dss15.wav\n",
      "Analyzing file 6 of 63: ./Scream/fear1.wav\n",
      "Analyzing file 7 of 63: ./Scream/scream.wav\n",
      "Analyzing file 8 of 63: ./Scream/scream12.wav\n",
      "Analyzing file 9 of 63: ./Scream/scream13.wav\n",
      "Analyzing file 10 of 63: ./Scream/scream14.wav\n",
      "Analyzing file 11 of 63: ./Scream/scream15.wav\n",
      "Analyzing file 12 of 63: ./Scream/scream16.wav\n",
      "Analyzing file 13 of 63: ./Scream/scream17.wav\n",
      "Analyzing file 14 of 63: ./Scream/scream18.wav\n",
      "Analyzing file 15 of 63: ./Scream/scream19.wav\n",
      "Analyzing file 16 of 63: ./Scream/scream2.wav\n",
      "Analyzing file 17 of 63: ./Scream/scream20.wav\n",
      "Analyzing file 18 of 63: ./Scream/scream21.wav\n",
      "Analyzing file 19 of 63: ./Scream/scream22.wav\n",
      "Analyzing file 20 of 63: ./Scream/scream23.wav\n",
      "Analyzing file 21 of 63: ./Scream/scream24.wav\n",
      "Analyzing file 22 of 63: ./Scream/scream25.wav\n",
      "Analyzing file 23 of 63: ./Scream/scream26.wav\n",
      "Analyzing file 24 of 63: ./Scream/scream27.wav\n",
      "Analyzing file 25 of 63: ./Scream/scream28.wav\n",
      "Analyzing file 26 of 63: ./Scream/scream29.wav\n",
      "Analyzing file 27 of 63: ./Scream/scream3.wav\n",
      "Analyzing file 28 of 63: ./Scream/scream30.wav\n",
      "Analyzing file 29 of 63: ./Scream/scream31.wav\n",
      "Analyzing file 30 of 63: ./Scream/scream32.wav\n",
      "Analyzing file 31 of 63: ./Scream/scream33.wav\n",
      "Analyzing file 32 of 63: ./Scream/scream34.wav\n",
      "Analyzing file 33 of 63: ./Scream/scream35.wav\n",
      "Analyzing file 34 of 63: ./Scream/scream36.wav\n",
      "Analyzing file 35 of 63: ./Scream/scream37.wav\n",
      "Analyzing file 36 of 63: ./Scream/scream38.wav\n",
      "Analyzing file 37 of 63: ./Scream/scream39.wav\n",
      "Analyzing file 38 of 63: ./Scream/scream4.wav\n",
      "Analyzing file 39 of 63: ./Scream/scream40.wav\n",
      "Analyzing file 40 of 63: ./Scream/scream41.wav\n",
      "Analyzing file 41 of 63: ./Scream/scream42.wav\n",
      "Analyzing file 42 of 63: ./Scream/scream43.wav\n",
      "Analyzing file 43 of 63: ./Scream/scream44.wav\n",
      "Analyzing file 44 of 63: ./Scream/scream45.wav\n",
      "Analyzing file 45 of 63: ./Scream/scream46.wav\n",
      "Analyzing file 46 of 63: ./Scream/scream47.wav\n",
      "Analyzing file 47 of 63: ./Scream/scream48.wav\n",
      "Analyzing file 48 of 63: ./Scream/scream49.wav\n",
      "Analyzing file 49 of 63: ./Scream/scream5.wav\n",
      "Analyzing file 50 of 63: ./Scream/scream50.wav\n",
      "Analyzing file 51 of 63: ./Scream/scream51.wav\n",
      "Analyzing file 52 of 63: ./Scream/scream6.wav\n",
      "Analyzing file 53 of 63: ./Scream/scream7.wav\n",
      "Analyzing file 54 of 63: ./Scream/scream8.wav\n",
      "Analyzing file 55 of 63: ./Scream/scream9.wav\n",
      "Analyzing file 56 of 63: ./Scream/sobb1.wav\n",
      "Analyzing file 57 of 63: ./Scream/sobb2.wav\n",
      "Analyzing file 58 of 63: ./Scream/sobb3.wav\n",
      "Analyzing file 59 of 63: ./Scream/sobb4.wav\n",
      "Analyzing file 60 of 63: ./Scream/sobb_big.wav\n",
      "Analyzing file 61 of 63: ./Scream/ss26.wav\n",
      "Analyzing file 62 of 63: ./Scream/to low.wav\n",
      "Analyzing file 63 of 63: ./Scream/to low1.wav\n",
      "Feature extraction complexity ratio: 7.4 x realtime\n",
      "Analyzing file 1 of 42: ./SobbandCry/Cry (1).wav\n",
      "Analyzing file 2 of 42: ./SobbandCry/Cry (10).wav\n",
      "Analyzing file 3 of 42: ./SobbandCry/Cry (11).wav\n",
      "Analyzing file 4 of 42: ./SobbandCry/Cry (12).wav\n",
      "Analyzing file 5 of 42: ./SobbandCry/Cry (13).wav\n",
      "Analyzing file 6 of 42: ./SobbandCry/Cry (14).wav\n",
      "Analyzing file 7 of 42: ./SobbandCry/Cry (15).wav\n",
      "Analyzing file 8 of 42: ./SobbandCry/Cry (16).wav\n",
      "Analyzing file 9 of 42: ./SobbandCry/Cry (17).wav\n",
      "Analyzing file 10 of 42: ./SobbandCry/Cry (18).wav\n",
      "Analyzing file 11 of 42: ./SobbandCry/Cry (19).wav\n",
      "Analyzing file 12 of 42: ./SobbandCry/Cry (2).wav\n",
      "Analyzing file 13 of 42: ./SobbandCry/Cry (20).wav\n",
      "Analyzing file 14 of 42: ./SobbandCry/Cry (21).wav\n",
      "Analyzing file 15 of 42: ./SobbandCry/Cry (22).wav\n",
      "Analyzing file 16 of 42: ./SobbandCry/Cry (23).wav\n",
      "Analyzing file 17 of 42: ./SobbandCry/Cry (24).wav\n",
      "Analyzing file 18 of 42: ./SobbandCry/Cry (25).wav\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Analyzing file 19 of 42: ./SobbandCry/Cry (26).wav\n",
      "Analyzing file 20 of 42: ./SobbandCry/Cry (27).wav\n",
      "Analyzing file 21 of 42: ./SobbandCry/Cry (28).wav\n",
      "Analyzing file 22 of 42: ./SobbandCry/Cry (29).wav\n",
      "Analyzing file 23 of 42: ./SobbandCry/Cry (3).wav\n",
      "Analyzing file 24 of 42: ./SobbandCry/Cry (30).wav\n",
      "Analyzing file 25 of 42: ./SobbandCry/Cry (31).wav\n",
      "Analyzing file 26 of 42: ./SobbandCry/Cry (32).wav\n",
      "Analyzing file 27 of 42: ./SobbandCry/Cry (33).wav\n",
      "Analyzing file 28 of 42: ./SobbandCry/Cry (34).wav\n",
      "Analyzing file 29 of 42: ./SobbandCry/Cry (35).wav\n",
      "Analyzing file 30 of 42: ./SobbandCry/Cry (36).wav\n",
      "Analyzing file 31 of 42: ./SobbandCry/Cry (37).wav\n",
      "Analyzing file 32 of 42: ./SobbandCry/Cry (38).wav\n",
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      "Param = 1.00000 - classifier Evaluation Experiment 93 of 100\n"
     ]
    },
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     "text": [
      "Param = 1.00000 - classifier Evaluation Experiment 94 of 100\n",
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      "Param = 10.00000 - classifier Evaluation Experiment 1 of 100\n",
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Param = 10.00000 - classifier Evaluation Experiment 30 of 100\n",
      "Param = 10.00000 - classifier Evaluation Experiment 31 of 100\n",
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      "Param = 20.00000 - classifier Evaluation Experiment 1 of 100\n",
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Param = 20.00000 - classifier Evaluation Experiment 70 of 100\n",
      "Param = 20.00000 - classifier Evaluation Experiment 71 of 100\n",
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      "Param = 20.00000 - classifier Evaluation Experiment 73 of 100\n",
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      "Param = 20.00000 - classifier Evaluation Experiment 78 of 100\n",
      "Param = 20.00000 - classifier Evaluation Experiment 79 of 100\n",
      "Param = 20.00000 - classifier Evaluation Experiment 80 of 100\n",
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      "Param = 20.00000 - classifier Evaluation Experiment 85 of 100\n",
      "Param = 20.00000 - classifier Evaluation Experiment 86 of 100\n",
      "Param = 20.00000 - classifier Evaluation Experiment 87 of 100\n",
      "Param = 20.00000 - classifier Evaluation Experiment 88 of 100\n",
      "Param = 20.00000 - classifier Evaluation Experiment 89 of 100\n",
      "Param = 20.00000 - classifier Evaluation Experiment 90 of 100\n",
      "Param = 20.00000 - classifier Evaluation Experiment 91 of 100\n",
      "Param = 20.00000 - classifier Evaluation Experiment 92 of 100\n",
      "Param = 20.00000 - classifier Evaluation Experiment 93 of 100\n",
      "Param = 20.00000 - classifier Evaluation Experiment 94 of 100\n",
      "Param = 20.00000 - classifier Evaluation Experiment 95 of 100\n",
      "Param = 20.00000 - classifier Evaluation Experiment 96 of 100\n",
      "Param = 20.00000 - classifier Evaluation Experiment 97 of 100\n",
      "Param = 20.00000 - classifier Evaluation Experiment 98 of 100\n",
      "Param = 20.00000 - classifier Evaluation Experiment 99 of 100\n",
      "Param = 20.00000 - classifier Evaluation Experiment 100 of 100\n",
      "\t\t, end=\n",
      "Conversations\t\t\tHuman-Gathering\t\t\tMultimedia\t\t\tOutdoors\t\t\tScream\t\t\tSobbandCry\t\tOVERALL\n",
      "\tC\tPRE\tREC\tf1\tPRE\tREC\tf1\tPRE\tREC\tf1\tPRE\tREC\tf1\tPRE\tREC\tf1\tPRE\tREC\tf1\tACC\tf1\n",
      "\t0.001\t94.7\t87.0\t90.7\t94.2\t100.0\t97.0\t95.7\t88.6\t92.0\t80.5\t92.2\t85.9\t87.6\t81.3\t84.4\t89.3\t91.7\t90.5\t89.8\t90.1\n",
      "\t0.010\t93.8\t95.2\t94.5\t97.7\t100.0\t98.8\t97.5\t91.8\t94.5\t91.3\t98.5\t94.8\t95.7\t86.0\t90.6\t89.3\t94.2\t91.7\t94.2\t94.2\t best f1\t best Acc\n",
      "\t0.500\t93.7\t96.8\t95.2\t97.3\t100.0\t98.6\t97.2\t97.4\t97.3\t95.0\t98.2\t96.6\t86.2\t81.3\t83.7\t83.4\t79.0\t81.1\t92.5\t92.1\n",
      "\t1.000\t93.7\t96.5\t95.1\t97.5\t100.0\t98.7\t96.6\t97.2\t96.9\t93.9\t98.2\t96.0\t86.3\t78.7\t82.3\t81.1\t79.5\t80.3\t92.0\t91.6\n",
      "\t5.000\t92.9\t96.5\t94.7\t96.9\t100.0\t98.4\t95.9\t97.4\t96.6\t94.8\t98.0\t96.4\t84.5\t79.7\t82.0\t83.7\t76.7\t80.1\t91.8\t91.4\n",
      "\t10.000\t92.4\t95.2\t93.8\t97.5\t100.0\t98.7\t94.9\t97.0\t95.9\t93.6\t97.5\t95.5\t85.1\t81.7\t83.3\t85.4\t76.2\t80.6\t91.7\t91.3\n",
      "\t20.000\t92.1\t95.7\t93.9\t98.4\t100.0\t99.2\t96.0\t96.2\t96.1\t93.5\t98.3\t95.9\t85.8\t80.3\t83.0\t82.9\t77.7\t80.3\t91.8\t91.4\n",
      "Confusion Matrix:\n",
      "\tCon\tHum\tMul\tOut\tScr\tSob\n",
      "Con\t17.84\t0.00\t0.38\t0.22\t0.00\t0.31\n",
      "Hum\t0.00\t15.62\t0.00\t0.00\t0.00\t0.00\n",
      "Mul\t0.75\t0.00\t14.34\t0.53\t0.00\t0.00\n",
      "Out\t0.28\t0.00\t0.00\t18.47\t0.00\t0.00\n",
      "Scr\t0.16\t0.38\t0.00\t1.00\t16.12\t1.09\n",
      "Sob\t0.00\t0.00\t0.00\t0.00\t0.72\t11.78\n",
      "Selected params: 0.01000\n"
     ]
    }
   ],
   "source": [
    "aT.featureAndTrain(['./Conversations','./Human-Gathering','./Multimedia','./Outdoors','./Scream','./SobbandCry'],1.0,1.0,\n",
    "                  aT.shortTermWindow,aT.shortTermStep,\"svm\",\"svm6Classes\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Analyzing file 1 of 56: ./Conversations/aditi daily14_Mar_2013_20-11-44.wav\n",
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      "Analyzing file 26 of 56: ./Conversations/nn2_12.wav\n",
      "Analyzing file 27 of 56: ./Conversations/nn2_13.wav\n",
      "Analyzing file 28 of 56: ./Conversations/nn2_14.wav\n",
      "Analyzing file 29 of 56: ./Conversations/nn2_15.wav\n",
      "Analyzing file 30 of 56: ./Conversations/nn2_2.wav\n",
      "Analyzing file 31 of 56: ./Conversations/nn2_3.wav\n",
      "Analyzing file 32 of 56: ./Conversations/nn2_4.wav\n",
      "Analyzing file 33 of 56: ./Conversations/nn2_5.wav\n",
      "Analyzing file 34 of 56: ./Conversations/nn2_6.wav\n",
      "Analyzing file 35 of 56: ./Conversations/nn31_5.wav\n",
      "Analyzing file 36 of 56: ./Conversations/nn32_4.wav\n",
      "Analyzing file 37 of 56: ./Conversations/nn46_15.wav\n",
      "Analyzing file 38 of 56: ./Conversations/nn46_16.wav\n",
      "Analyzing file 39 of 56: ./Conversations/nn46_7.wav\n",
      "Analyzing file 40 of 56: ./Conversations/nn47_2.wav\n",
      "Analyzing file 41 of 56: ./Conversations/nn47_3.wav\n",
      "Analyzing file 42 of 56: ./Conversations/nn47_7.wav\n",
      "Analyzing file 43 of 56: ./Conversations/nn47_8.wav\n",
      "Analyzing file 44 of 56: ./Conversations/nn48_1.wav\n",
      "Analyzing file 45 of 56: ./Conversations/nn48_10.wav\n",
      "Analyzing file 46 of 56: ./Conversations/nn48_11.wav\n",
      "Analyzing file 47 of 56: ./Conversations/nn48_12.wav\n",
      "Analyzing file 48 of 56: ./Conversations/nn48_3.wav\n",
      "Analyzing file 49 of 56: ./Conversations/nn48_7.wav\n",
      "Analyzing file 50 of 56: ./Conversations/nn48_8.wav\n",
      "Analyzing file 51 of 56: ./Conversations/nn50_1.wav\n",
      "Analyzing file 52 of 56: ./Conversations/nn50_2.wav\n",
      "Analyzing file 53 of 56: ./Conversations/nn50_4.wav\n",
      "Analyzing file 54 of 56: ./Conversations/nn50_5.wav\n",
      "Analyzing file 55 of 56: ./Conversations/nn50_6.wav\n",
      "Analyzing file 56 of 56: ./Conversations/nn51_3.wav\n",
      "Feature extraction complexity ratio: 9.1 x realtime\n",
      "Analyzing file 1 of 53: ./Human-Gathering/gathering001.wav\n",
      "Analyzing file 2 of 53: ./Human-Gathering/gathering002.wav\n",
      "Analyzing file 3 of 53: ./Human-Gathering/gathering003.wav\n",
      "Analyzing file 4 of 53: ./Human-Gathering/gathering004.wav\n",
      "Analyzing file 5 of 53: ./Human-Gathering/gathering005.wav\n",
      "Analyzing file 6 of 53: ./Human-Gathering/gathering006.wav\n",
      "Analyzing file 7 of 53: ./Human-Gathering/gathering007.wav\n",
      "Analyzing file 8 of 53: ./Human-Gathering/gathering008.wav\n",
      "Analyzing file 9 of 53: ./Human-Gathering/gathering009.wav\n",
      "Analyzing file 10 of 53: ./Human-Gathering/gathering010.wav\n",
      "Analyzing file 11 of 53: ./Human-Gathering/gathering011.wav\n",
      "Analyzing file 12 of 53: ./Human-Gathering/gathering012.wav\n",
      "Analyzing file 13 of 53: ./Human-Gathering/gathering013.wav\n",
      "Analyzing file 14 of 53: ./Human-Gathering/gathering014.wav\n",
      "Analyzing file 15 of 53: ./Human-Gathering/gathering015.wav\n",
      "Analyzing file 16 of 53: ./Human-Gathering/gathering016.wav\n",
      "Analyzing file 17 of 53: ./Human-Gathering/gathering1001.wav\n",
      "Analyzing file 18 of 53: ./Human-Gathering/gathering1002.wav\n",
      "Analyzing file 19 of 53: ./Human-Gathering/gathering1003.wav\n",
      "Analyzing file 20 of 53: ./Human-Gathering/gathering1004.wav\n",
      "Analyzing file 21 of 53: ./Human-Gathering/gathering1005.wav\n",
      "Analyzing file 22 of 53: ./Human-Gathering/gathering1006.wav\n",
      "Analyzing file 23 of 53: ./Human-Gathering/gathering1007.wav\n",
      "Analyzing file 24 of 53: ./Human-Gathering/gathering1008.wav\n",
      "Analyzing file 25 of 53: ./Human-Gathering/gathering1009.wav\n",
      "Analyzing file 26 of 53: ./Human-Gathering/gathering1010.wav\n",
      "Analyzing file 27 of 53: ./Human-Gathering/gathering1011.wav\n",
      "Analyzing file 28 of 53: ./Human-Gathering/gathering1012.wav\n",
      "Analyzing file 29 of 53: ./Human-Gathering/gathering1013.wav\n",
      "Analyzing file 30 of 53: ./Human-Gathering/gathering1014.wav\n",
      "Analyzing file 31 of 53: ./Human-Gathering/gathering1015.wav\n",
      "Analyzing file 32 of 53: ./Human-Gathering/gathering1016.wav\n",
      "Analyzing file 33 of 53: ./Human-Gathering/gathering1017.wav\n",
      "Analyzing file 34 of 53: ./Human-Gathering/gathering1018.wav\n",
      "Analyzing file 35 of 53: ./Human-Gathering/gathering1019.wav\n",
      "Analyzing file 36 of 53: ./Human-Gathering/gathering1020.wav\n",
      "Analyzing file 37 of 53: ./Human-Gathering/gathering1021.wav\n",
      "Analyzing file 38 of 53: ./Human-Gathering/gathering1022.wav\n",
      "Analyzing file 39 of 53: ./Human-Gathering/gathering1023.wav\n",
      "Analyzing file 40 of 53: ./Human-Gathering/gathering1024.wav\n",
      "Analyzing file 41 of 53: ./Human-Gathering/gathering1025.wav\n",
      "Analyzing file 42 of 53: ./Human-Gathering/gathering1026.wav\n",
      "Analyzing file 43 of 53: ./Human-Gathering/gathering1027.wav\n",
      "Analyzing file 44 of 53: ./Human-Gathering/gathering1028.wav\n",
      "Analyzing file 45 of 53: ./Human-Gathering/gathering1029.wav\n",
      "Analyzing file 46 of 53: ./Human-Gathering/gathering1030.wav\n",
      "Analyzing file 47 of 53: ./Human-Gathering/gathering1031.wav\n",
      "Analyzing file 48 of 53: ./Human-Gathering/gathering1032.wav\n",
      "Analyzing file 49 of 53: ./Human-Gathering/gathering1033.wav\n",
      "Analyzing file 50 of 53: ./Human-Gathering/gathering1034.wav\n",
      "Analyzing file 51 of 53: ./Human-Gathering/gathering1035.wav\n",
      "Analyzing file 52 of 53: ./Human-Gathering/gathering1036.wav\n",
      "Analyzing file 53 of 53: ./Human-Gathering/gathering1037.wav\n",
      "Feature extraction complexity ratio: 10.3 x realtime\n",
      "Analyzing file 1 of 55: ./Multimedia/1380473168113.wav\n",
      "Analyzing file 2 of 55: ./Multimedia/1380473175550.wav\n",
      "Analyzing file 3 of 55: ./Multimedia/1380473182965.wav\n",
      "Analyzing file 4 of 55: ./Multimedia/1380473190388.wav\n",
      "Analyzing file 5 of 55: ./Multimedia/1380473235674.wav\n",
      "Analyzing file 6 of 55: ./Multimedia/1380473243324.wav\n",
      "Analyzing file 7 of 55: ./Multimedia/1380473250885.wav\n",
      "Analyzing file 8 of 55: ./Multimedia/1380473258277.wav\n",
      "Analyzing file 9 of 55: ./Multimedia/1380473400116.wav\n",
      "Analyzing file 10 of 55: ./Multimedia/1380473415048.wav\n",
      "Analyzing file 11 of 55: ./Multimedia/1380473429948.wav\n",
      "Analyzing file 12 of 55: ./Multimedia/1380473437344.wav\n",
      "Analyzing file 13 of 55: ./Multimedia/1380473444794.wav\n",
      "Analyzing file 14 of 55: ./Multimedia/1380473452174.wav\n",
      "Analyzing file 15 of 55: ./Multimedia/1380473482140.wav\n",
      "Analyzing file 16 of 55: ./Multimedia/1380473519542.wav\n",
      "Analyzing file 17 of 55: ./Multimedia/1380473527020.wav\n",
      "Analyzing file 18 of 55: ./Multimedia/1380473549335.wav\n",
      "Analyzing file 19 of 55: ./Multimedia/1380473586572.wav\n",
      "Analyzing file 20 of 55: ./Multimedia/1380473594079.wav\n",
      "Analyzing file 21 of 55: ./Multimedia/1380473616484.wav\n",
      "Analyzing file 22 of 55: ./Multimedia/1380473661292.wav\n",
      "Analyzing file 23 of 55: ./Multimedia/1380473683986.wav\n",
      "Analyzing file 24 of 55: ./Multimedia/1380474214695.wav\n",
      "Analyzing file 25 of 55: ./Multimedia/1380474281735.wav\n",
      "Analyzing file 26 of 55: ./Multimedia/1380474348970.wav\n",
      "Analyzing file 27 of 55: ./Multimedia/1380474386422.wav\n",
      "Analyzing file 28 of 55: ./Multimedia/1380474393819.wav\n",
      "Analyzing file 29 of 55: ./Multimedia/1380474416267.wav\n",
      "Analyzing file 30 of 55: ./Multimedia/1380474453650.wav\n",
      "Analyzing file 31 of 55: ./Multimedia/1380474461195.wav\n",
      "Analyzing file 32 of 55: ./Multimedia/1380474483690.wav\n",
      "Analyzing file 33 of 55: ./Multimedia/1380474715254.wav\n",
      "Analyzing file 34 of 55: ./Multimedia/1380474722858.wav\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Analyzing file 35 of 55: ./Multimedia/1380474730325.wav\n",
      "Analyzing file 36 of 55: ./Multimedia/1380474737880.wav\n",
      "Analyzing file 37 of 55: ./Multimedia/1380474745359.wav\n",
      "Analyzing file 38 of 55: ./Multimedia/1380474782980.wav\n",
      "Analyzing file 39 of 55: ./Multimedia/1380474790599.wav\n",
      "Analyzing file 40 of 55: ./Multimedia/1380474798063.wav\n",
      "Analyzing file 41 of 55: ./Multimedia/1380474805505.wav\n",
      "Analyzing file 42 of 55: ./Multimedia/1380474813074.wav\n",
      "Analyzing file 43 of 55: ./Multimedia/1380475791338.wav\n",
      "Analyzing file 44 of 55: ./Multimedia/1380475932526.wav\n",
      "Analyzing file 45 of 55: ./Multimedia/1380476014901.wav\n",
      "Analyzing file 46 of 55: ./Multimedia/1380476089084.wav\n",
      "Analyzing file 47 of 55: ./Multimedia/1380476170692.wav\n",
      "Analyzing file 48 of 55: ./Multimedia/1380476237861.wav\n",
      "Analyzing file 49 of 55: ./Multimedia/1380476319910.wav\n",
      "Analyzing file 50 of 55: ./Multimedia/1385044953088.wav\n",
      "Analyzing file 51 of 55: ./Multimedia/1385045631311.wav\n",
      "Analyzing file 52 of 55: ./Multimedia/1385045911068.wav\n",
      "Analyzing file 53 of 55: ./Multimedia/1385046263156.wav\n",
      "Analyzing file 54 of 55: ./Multimedia/1385046891021.wav\n",
      "Analyzing file 55 of 55: ./Multimedia/1385047677100.wav\n",
      "Feature extraction complexity ratio: 8.5 x realtime\n",
      "Analyzing file 1 of 57: ./Outdoors/1380026419021.wav\n",
      "Analyzing file 2 of 57: ./Outdoors/1380026427293.wav\n",
      "Analyzing file 3 of 57: ./Outdoors/1380026435640.wav\n",
      "Analyzing file 4 of 57: ./Outdoors/1380026443825.wav\n",
      "Analyzing file 5 of 57: ./Outdoors/1380026452061.wav\n",
      "Analyzing file 6 of 57: ./Outdoors/1380026468950.wav\n",
      "Analyzing file 7 of 57: ./Outdoors/1380026477248.wav\n",
      "Analyzing file 8 of 57: ./Outdoors/1380026502522.wav\n",
      "Analyzing file 9 of 57: ./Outdoors/1380026510769.wav\n",
      "Analyzing file 10 of 57: ./Outdoors/1380026519141.wav\n",
      "Analyzing file 11 of 57: ./Outdoors/1380026527396.wav\n",
      "Analyzing file 12 of 57: ./Outdoors/1380026528930.wav\n",
      "Analyzing file 13 of 57: ./Outdoors/1380026535636.wav\n",
      "Analyzing file 14 of 57: ./Outdoors/1380026552232.wav\n",
      "Analyzing file 15 of 57: ./Outdoors/1380026568726.wav\n",
      "Analyzing file 16 of 57: ./Outdoors/1380026570062.wav\n",
      "Analyzing file 17 of 57: ./Outdoors/1380026576954.wav\n",
      "Analyzing file 18 of 57: ./Outdoors/1380026582187.wav\n",
      "Analyzing file 19 of 57: ./Outdoors/1380026585146.wav\n",
      "Analyzing file 20 of 57: ./Outdoors/1380026593333.wav\n",
      "Analyzing file 21 of 57: ./Outdoors/1380026594799.wav\n",
      "Analyzing file 22 of 57: ./Outdoors/1380026618048.wav\n",
      "Analyzing file 23 of 57: ./Outdoors/1380026618712.wav\n",
      "Analyzing file 24 of 57: ./Outdoors/1380026626283.wav\n",
      "Analyzing file 25 of 57: ./Outdoors/1380026631159.wav\n",
      "Analyzing file 26 of 57: ./Outdoors/1380026634484.wav\n",
      "Analyzing file 27 of 57: ./Outdoors/1380026642670.wav\n",
      "Analyzing file 28 of 57: ./Outdoors/1380026659126.wav\n",
      "Analyzing file 29 of 57: ./Outdoors/1380026675799.wav\n",
      "Analyzing file 30 of 57: ./Outdoors/1380026684160.wav\n",
      "Analyzing file 31 of 57: ./Outdoors/1380026701013.wav\n",
      "Analyzing file 32 of 57: ./Outdoors/1380026703956.wav\n",
      "Analyzing file 33 of 57: ./Outdoors/1380026709224.wav\n",
      "Analyzing file 34 of 57: ./Outdoors/1380026728159.wav\n",
      "Analyzing file 35 of 57: ./Outdoors/1380026734081.wav\n",
      "Analyzing file 36 of 57: ./Outdoors/1380026740245.wav\n",
      "Analyzing file 37 of 57: ./Outdoors/1380026742315.wav\n",
      "Analyzing file 38 of 57: ./Outdoors/1380026750597.wav\n",
      "Analyzing file 39 of 57: ./Outdoors/1380026752259.wav\n",
      "Analyzing file 40 of 57: ./Outdoors/1380026775410.wav\n",
      "Analyzing file 41 of 57: ./Outdoors/1380026776233.wav\n",
      "Analyzing file 42 of 57: ./Outdoors/1380026783667.wav\n",
      "Analyzing file 43 of 57: ./Outdoors/1380026788375.wav\n",
      "Analyzing file 44 of 57: ./Outdoors/1380026791969.wav\n",
      "Analyzing file 45 of 57: ./Outdoors/1380026800259.wav\n",
      "Analyzing file 46 of 57: ./Outdoors/1380026816690.wav\n",
      "Analyzing file 47 of 57: ./Outdoors/1380026824267.wav\n",
      "Analyzing file 48 of 57: ./Outdoors/1380026824917.wav\n",
      "Analyzing file 49 of 57: ./Outdoors/1380026833150.wav\n",
      "Analyzing file 50 of 57: ./Outdoors/1380026836225.wav\n",
      "Analyzing file 51 of 57: ./Outdoors/1380026841429.wav\n",
      "Analyzing file 52 of 57: ./Outdoors/1380026861549.wav\n",
      "Analyzing file 53 of 57: ./Outdoors/1380026866223.wav\n",
      "Analyzing file 54 of 57: ./Outdoors/1380026873660.wav\n",
      "Analyzing file 55 of 57: ./Outdoors/1380026874362.wav\n",
      "Analyzing file 56 of 57: ./Outdoors/1380026882715.wav\n",
      "Analyzing file 57 of 57: ./Outdoors/1380026885472.wav\n",
      "Feature extraction complexity ratio: 6.9 x realtime\n",
      "Analyzing file 1 of 63: ./Scream/breath.wav\n",
      "Analyzing file 2 of 63: ./Scream/cry1.wav\n",
      "Analyzing file 3 of 63: ./Scream/distress.wav\n",
      "Analyzing file 4 of 63: ./Scream/distress2.wav\n",
      "Analyzing file 5 of 63: ./Scream/dss15.wav\n",
      "Analyzing file 6 of 63: ./Scream/fear1.wav\n",
      "Analyzing file 7 of 63: ./Scream/scream.wav\n",
      "Analyzing file 8 of 63: ./Scream/scream12.wav\n",
      "Analyzing file 9 of 63: ./Scream/scream13.wav\n",
      "Analyzing file 10 of 63: ./Scream/scream14.wav\n",
      "Analyzing file 11 of 63: ./Scream/scream15.wav\n",
      "Analyzing file 12 of 63: ./Scream/scream16.wav\n",
      "Analyzing file 13 of 63: ./Scream/scream17.wav\n",
      "Analyzing file 14 of 63: ./Scream/scream18.wav\n",
      "Analyzing file 15 of 63: ./Scream/scream19.wav\n",
      "Analyzing file 16 of 63: ./Scream/scream2.wav\n",
      "Analyzing file 17 of 63: ./Scream/scream20.wav\n",
      "Analyzing file 18 of 63: ./Scream/scream21.wav\n",
      "Analyzing file 19 of 63: ./Scream/scream22.wav\n",
      "Analyzing file 20 of 63: ./Scream/scream23.wav\n",
      "Analyzing file 21 of 63: ./Scream/scream24.wav\n",
      "Analyzing file 22 of 63: ./Scream/scream25.wav\n",
      "Analyzing file 23 of 63: ./Scream/scream26.wav\n",
      "Analyzing file 24 of 63: ./Scream/scream27.wav\n",
      "Analyzing file 25 of 63: ./Scream/scream28.wav\n",
      "Analyzing file 26 of 63: ./Scream/scream29.wav\n",
      "Analyzing file 27 of 63: ./Scream/scream3.wav\n",
      "Analyzing file 28 of 63: ./Scream/scream30.wav\n",
      "Analyzing file 29 of 63: ./Scream/scream31.wav\n",
      "Analyzing file 30 of 63: ./Scream/scream32.wav\n",
      "Analyzing file 31 of 63: ./Scream/scream33.wav\n",
      "Analyzing file 32 of 63: ./Scream/scream34.wav\n",
      "Analyzing file 33 of 63: ./Scream/scream35.wav\n",
      "Analyzing file 34 of 63: ./Scream/scream36.wav\n",
      "Analyzing file 35 of 63: ./Scream/scream37.wav\n",
      "Analyzing file 36 of 63: ./Scream/scream38.wav\n",
      "Analyzing file 37 of 63: ./Scream/scream39.wav\n",
      "Analyzing file 38 of 63: ./Scream/scream4.wav\n",
      "Analyzing file 39 of 63: ./Scream/scream40.wav\n",
      "Analyzing file 40 of 63: ./Scream/scream41.wav\n",
      "Analyzing file 41 of 63: ./Scream/scream42.wav\n",
      "Analyzing file 42 of 63: ./Scream/scream43.wav\n",
      "Analyzing file 43 of 63: ./Scream/scream44.wav\n",
      "Analyzing file 44 of 63: ./Scream/scream45.wav\n",
      "Analyzing file 45 of 63: ./Scream/scream46.wav\n",
      "Analyzing file 46 of 63: ./Scream/scream47.wav\n",
      "Analyzing file 47 of 63: ./Scream/scream48.wav\n",
      "Analyzing file 48 of 63: ./Scream/scream49.wav\n",
      "Analyzing file 49 of 63: ./Scream/scream5.wav\n",
      "Analyzing file 50 of 63: ./Scream/scream50.wav\n",
      "Analyzing file 51 of 63: ./Scream/scream51.wav\n",
      "Analyzing file 52 of 63: ./Scream/scream6.wav\n",
      "Analyzing file 53 of 63: ./Scream/scream7.wav\n",
      "Analyzing file 54 of 63: ./Scream/scream8.wav\n",
      "Analyzing file 55 of 63: ./Scream/scream9.wav\n",
      "Analyzing file 56 of 63: ./Scream/sobb1.wav\n",
      "Analyzing file 57 of 63: ./Scream/sobb2.wav\n",
      "Analyzing file 58 of 63: ./Scream/sobb3.wav\n",
      "Analyzing file 59 of 63: ./Scream/sobb4.wav\n",
      "Analyzing file 60 of 63: ./Scream/sobb_big.wav\n",
      "Analyzing file 61 of 63: ./Scream/ss26.wav\n",
      "Analyzing file 62 of 63: ./Scream/to low.wav\n",
      "Analyzing file 63 of 63: ./Scream/to low1.wav\n",
      "Feature extraction complexity ratio: 8.2 x realtime\n",
      "Analyzing file 1 of 42: ./SobbandCry/Cry (1).wav\n",
      "Analyzing file 2 of 42: ./SobbandCry/Cry (10).wav\n",
      "Analyzing file 3 of 42: ./SobbandCry/Cry (11).wav\n",
      "Analyzing file 4 of 42: ./SobbandCry/Cry (12).wav\n",
      "Analyzing file 5 of 42: ./SobbandCry/Cry (13).wav\n",
      "Analyzing file 6 of 42: ./SobbandCry/Cry (14).wav\n",
      "Analyzing file 7 of 42: ./SobbandCry/Cry (15).wav\n",
      "Analyzing file 8 of 42: ./SobbandCry/Cry (16).wav\n",
      "Analyzing file 9 of 42: ./SobbandCry/Cry (17).wav\n",
      "Analyzing file 10 of 42: ./SobbandCry/Cry (18).wav\n",
      "Analyzing file 11 of 42: ./SobbandCry/Cry (19).wav\n",
      "Analyzing file 12 of 42: ./SobbandCry/Cry (2).wav\n",
      "Analyzing file 13 of 42: ./SobbandCry/Cry (20).wav\n",
      "Analyzing file 14 of 42: ./SobbandCry/Cry (21).wav\n",
      "Analyzing file 15 of 42: ./SobbandCry/Cry (22).wav\n",
      "Analyzing file 16 of 42: ./SobbandCry/Cry (23).wav\n",
      "Analyzing file 17 of 42: ./SobbandCry/Cry (24).wav\n",
      "Analyzing file 18 of 42: ./SobbandCry/Cry (25).wav\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Analyzing file 19 of 42: ./SobbandCry/Cry (26).wav\n",
      "Analyzing file 20 of 42: ./SobbandCry/Cry (27).wav\n",
      "Analyzing file 21 of 42: ./SobbandCry/Cry (28).wav\n",
      "Analyzing file 22 of 42: ./SobbandCry/Cry (29).wav\n",
      "Analyzing file 23 of 42: ./SobbandCry/Cry (3).wav\n",
      "Analyzing file 24 of 42: ./SobbandCry/Cry (30).wav\n",
      "Analyzing file 25 of 42: ./SobbandCry/Cry (31).wav\n",
      "Analyzing file 26 of 42: ./SobbandCry/Cry (32).wav\n",
      "Analyzing file 27 of 42: ./SobbandCry/Cry (33).wav\n",
      "Analyzing file 28 of 42: ./SobbandCry/Cry (34).wav\n",
      "Analyzing file 29 of 42: ./SobbandCry/Cry (35).wav\n",
      "Analyzing file 30 of 42: ./SobbandCry/Cry (36).wav\n",
      "Analyzing file 31 of 42: ./SobbandCry/Cry (37).wav\n",
      "Analyzing file 32 of 42: ./SobbandCry/Cry (38).wav\n",
      "Analyzing file 33 of 42: ./SobbandCry/Cry (39).wav\n",
      "Analyzing file 34 of 42: ./SobbandCry/Cry (4).wav\n",
      "Analyzing file 35 of 42: ./SobbandCry/Cry (5).wav\n",
      "Analyzing file 36 of 42: ./SobbandCry/Cry (6).wav\n",
      "Analyzing file 37 of 42: ./SobbandCry/Cry (7).wav\n",
      "Analyzing file 38 of 42: ./SobbandCry/Cry (8).wav\n",
      "Analyzing file 39 of 42: ./SobbandCry/Cry (9).wav\n",
      "Analyzing file 40 of 42: ./SobbandCry/cry2.wav\n",
      "Analyzing file 41 of 42: ./SobbandCry/cry3.wav\n",
      "Analyzing file 42 of 42: ./SobbandCry/cry4.wav\n",
      "Feature extraction complexity ratio: 6.2 x realtime\n",
      "Param = 1.00000 - classifier Evaluation Experiment 1 of 100\n",
      "Param = 1.00000 - classifier Evaluation Experiment 2 of 100\n",
      "Param = 1.00000 - classifier Evaluation Experiment 3 of 100\n",
      "Param = 1.00000 - classifier Evaluation Experiment 4 of 100\n",
      "Param = 1.00000 - classifier Evaluation Experiment 5 of 100\n",
      "Param = 1.00000 - classifier Evaluation Experiment 6 of 100\n",
      "Param = 1.00000 - classifier Evaluation Experiment 7 of 100\n",
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      "Param = 9.00000 - classifier Evaluation Experiment 30 of 100\n",
      "Param = 9.00000 - classifier Evaluation Experiment 31 of 100\n",
      "Param = 9.00000 - classifier Evaluation Experiment 32 of 100\n",
      "Param = 9.00000 - classifier Evaluation Experiment 33 of 100\n",
      "Param = 9.00000 - classifier Evaluation Experiment 34 of 100\n",
      "Param = 9.00000 - classifier Evaluation Experiment 35 of 100\n",
      "Param = 9.00000 - classifier Evaluation Experiment 36 of 100\n",
      "Param = 9.00000 - classifier Evaluation Experiment 37 of 100\n",
      "Param = 9.00000 - classifier Evaluation Experiment 38 of 100\n",
      "Param = 9.00000 - classifier Evaluation Experiment 39 of 100\n",
      "Param = 9.00000 - classifier Evaluation Experiment 40 of 100\n",
      "Param = 9.00000 - classifier Evaluation Experiment 41 of 100\n",
      "Param = 9.00000 - classifier Evaluation Experiment 42 of 100\n",
      "Param = 9.00000 - classifier Evaluation Experiment 43 of 100\n",
      "Param = 9.00000 - classifier Evaluation Experiment 44 of 100\n",
      "Param = 9.00000 - classifier Evaluation Experiment 45 of 100\n",
      "Param = 9.00000 - classifier Evaluation Experiment 46 of 100\n",
      "Param = 9.00000 - classifier Evaluation Experiment 47 of 100\n",
      "Param = 9.00000 - classifier Evaluation Experiment 48 of 100\n",
      "Param = 9.00000 - classifier Evaluation Experiment 49 of 100\n",
      "Param = 9.00000 - classifier Evaluation Experiment 50 of 100\n",
      "Param = 9.00000 - classifier Evaluation Experiment 51 of 100\n",
      "Param = 9.00000 - classifier Evaluation Experiment 52 of 100\n",
      "Param = 9.00000 - classifier Evaluation Experiment 53 of 100\n",
      "Param = 9.00000 - classifier Evaluation Experiment 54 of 100\n",
      "Param = 9.00000 - classifier Evaluation Experiment 55 of 100\n",
      "Param = 9.00000 - classifier Evaluation Experiment 56 of 100\n",
      "Param = 9.00000 - classifier Evaluation Experiment 57 of 100\n",
      "Param = 9.00000 - classifier Evaluation Experiment 58 of 100\n",
      "Param = 9.00000 - classifier Evaluation Experiment 59 of 100\n",
      "Param = 9.00000 - classifier Evaluation Experiment 60 of 100\n",
      "Param = 9.00000 - classifier Evaluation Experiment 61 of 100\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Param = 9.00000 - classifier Evaluation Experiment 62 of 100\n",
      "Param = 9.00000 - classifier Evaluation Experiment 63 of 100\n",
      "Param = 9.00000 - classifier Evaluation Experiment 64 of 100\n",
      "Param = 9.00000 - classifier Evaluation Experiment 65 of 100\n",
      "Param = 9.00000 - classifier Evaluation Experiment 66 of 100\n",
      "Param = 9.00000 - classifier Evaluation Experiment 67 of 100\n",
      "Param = 9.00000 - classifier Evaluation Experiment 68 of 100\n",
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      "Param = 9.00000 - classifier Evaluation Experiment 70 of 100\n",
      "Param = 9.00000 - classifier Evaluation Experiment 71 of 100\n",
      "Param = 9.00000 - classifier Evaluation Experiment 72 of 100\n",
      "Param = 9.00000 - classifier Evaluation Experiment 73 of 100\n",
      "Param = 9.00000 - classifier Evaluation Experiment 74 of 100\n",
      "Param = 9.00000 - classifier Evaluation Experiment 75 of 100\n",
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      "Param = 9.00000 - classifier Evaluation Experiment 77 of 100\n",
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      "Param = 9.00000 - classifier Evaluation Experiment 79 of 100\n",
      "Param = 9.00000 - classifier Evaluation Experiment 80 of 100\n",
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      "Param = 9.00000 - classifier Evaluation Experiment 98 of 100\n",
      "Param = 9.00000 - classifier Evaluation Experiment 99 of 100\n",
      "Param = 9.00000 - classifier Evaluation Experiment 100 of 100\n",
      "Param = 11.00000 - classifier Evaluation Experiment 1 of 100\n",
      "Param = 11.00000 - classifier Evaluation Experiment 2 of 100\n",
      "Param = 11.00000 - classifier Evaluation Experiment 3 of 100\n",
      "Param = 11.00000 - classifier Evaluation Experiment 4 of 100\n",
      "Param = 11.00000 - classifier Evaluation Experiment 5 of 100\n",
      "Param = 11.00000 - classifier Evaluation Experiment 6 of 100\n",
      "Param = 11.00000 - classifier Evaluation Experiment 7 of 100\n",
      "Param = 11.00000 - classifier Evaluation Experiment 8 of 100\n",
      "Param = 11.00000 - classifier Evaluation Experiment 9 of 100\n",
      "Param = 11.00000 - classifier Evaluation Experiment 10 of 100\n",
      "Param = 11.00000 - classifier Evaluation Experiment 11 of 100\n",
      "Param = 11.00000 - classifier Evaluation Experiment 12 of 100\n",
      "Param = 11.00000 - classifier Evaluation Experiment 13 of 100\n",
      "Param = 11.00000 - classifier Evaluation Experiment 14 of 100\n",
      "Param = 11.00000 - classifier Evaluation Experiment 15 of 100\n",
      "Param = 11.00000 - classifier Evaluation Experiment 16 of 100\n",
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      "Param = 11.00000 - classifier Evaluation Experiment 18 of 100\n",
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      "Param = 11.00000 - classifier Evaluation Experiment 20 of 100\n",
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      "Param = 11.00000 - classifier Evaluation Experiment 100 of 100\n",
      "Param = 13.00000 - classifier Evaluation Experiment 1 of 100\n",
      "Param = 13.00000 - classifier Evaluation Experiment 2 of 100\n",
      "Param = 13.00000 - classifier Evaluation Experiment 3 of 100\n",
      "Param = 13.00000 - classifier Evaluation Experiment 4 of 100\n",
      "Param = 13.00000 - classifier Evaluation Experiment 5 of 100\n",
      "Param = 13.00000 - classifier Evaluation Experiment 6 of 100\n",
      "Param = 13.00000 - classifier Evaluation Experiment 7 of 100\n",
      "Param = 13.00000 - classifier Evaluation Experiment 8 of 100\n",
      "Param = 13.00000 - classifier Evaluation Experiment 9 of 100\n",
      "Param = 13.00000 - classifier Evaluation Experiment 10 of 100\n",
      "Param = 13.00000 - classifier Evaluation Experiment 11 of 100\n",
      "Param = 13.00000 - classifier Evaluation Experiment 12 of 100\n",
      "Param = 13.00000 - classifier Evaluation Experiment 13 of 100\n",
      "Param = 13.00000 - classifier Evaluation Experiment 14 of 100\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Param = 13.00000 - classifier Evaluation Experiment 15 of 100\n",
      "Param = 13.00000 - classifier Evaluation Experiment 16 of 100\n",
      "Param = 13.00000 - classifier Evaluation Experiment 17 of 100\n",
      "Param = 13.00000 - classifier Evaluation Experiment 18 of 100\n",
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      "Param = 13.00000 - classifier Evaluation Experiment 21 of 100\n",
      "Param = 13.00000 - classifier Evaluation Experiment 22 of 100\n",
      "Param = 13.00000 - classifier Evaluation Experiment 23 of 100\n",
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      "Param = 13.00000 - classifier Evaluation Experiment 30 of 100\n",
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      "Param = 13.00000 - classifier Evaluation Experiment 100 of 100\n",
      "Param = 15.00000 - classifier Evaluation Experiment 1 of 100\n",
      "Param = 15.00000 - classifier Evaluation Experiment 2 of 100\n",
      "Param = 15.00000 - classifier Evaluation Experiment 3 of 100\n",
      "Param = 15.00000 - classifier Evaluation Experiment 4 of 100\n",
      "Param = 15.00000 - classifier Evaluation Experiment 5 of 100\n",
      "Param = 15.00000 - classifier Evaluation Experiment 6 of 100\n",
      "Param = 15.00000 - classifier Evaluation Experiment 7 of 100\n",
      "Param = 15.00000 - classifier Evaluation Experiment 8 of 100\n",
      "Param = 15.00000 - classifier Evaluation Experiment 9 of 100\n",
      "Param = 15.00000 - classifier Evaluation Experiment 10 of 100\n",
      "Param = 15.00000 - classifier Evaluation Experiment 11 of 100\n",
      "Param = 15.00000 - classifier Evaluation Experiment 12 of 100\n",
      "Param = 15.00000 - classifier Evaluation Experiment 13 of 100\n",
      "Param = 15.00000 - classifier Evaluation Experiment 14 of 100\n",
      "Param = 15.00000 - classifier Evaluation Experiment 15 of 100\n",
      "Param = 15.00000 - classifier Evaluation Experiment 16 of 100\n",
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      "Param = 15.00000 - classifier Evaluation Experiment 21 of 100\n",
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      "Param = 15.00000 - classifier Evaluation Experiment 30 of 100\n",
      "Param = 15.00000 - classifier Evaluation Experiment 31 of 100\n",
      "Param = 15.00000 - classifier Evaluation Experiment 32 of 100\n",
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      "Param = 15.00000 - classifier Evaluation Experiment 34 of 100\n",
      "Param = 15.00000 - classifier Evaluation Experiment 35 of 100\n",
      "Param = 15.00000 - classifier Evaluation Experiment 36 of 100\n",
      "Param = 15.00000 - classifier Evaluation Experiment 37 of 100\n",
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      "Param = 15.00000 - classifier Evaluation Experiment 40 of 100\n",
      "Param = 15.00000 - classifier Evaluation Experiment 41 of 100\n",
      "Param = 15.00000 - classifier Evaluation Experiment 42 of 100\n",
      "Param = 15.00000 - classifier Evaluation Experiment 43 of 100\n",
      "Param = 15.00000 - classifier Evaluation Experiment 44 of 100\n",
      "Param = 15.00000 - classifier Evaluation Experiment 45 of 100\n",
      "Param = 15.00000 - classifier Evaluation Experiment 46 of 100\n",
      "Param = 15.00000 - classifier Evaluation Experiment 47 of 100\n",
      "Param = 15.00000 - classifier Evaluation Experiment 48 of 100\n",
      "Param = 15.00000 - classifier Evaluation Experiment 49 of 100\n",
      "Param = 15.00000 - classifier Evaluation Experiment 50 of 100\n",
      "Param = 15.00000 - classifier Evaluation Experiment 51 of 100\n",
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      "Param = 15.00000 - classifier Evaluation Experiment 53 of 100\n",
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      "Param = 15.00000 - classifier Evaluation Experiment 59 of 100\n",
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      "Param = 15.00000 - classifier Evaluation Experiment 61 of 100\n",
      "Param = 15.00000 - classifier Evaluation Experiment 62 of 100\n",
      "Param = 15.00000 - classifier Evaluation Experiment 63 of 100\n",
      "Param = 15.00000 - classifier Evaluation Experiment 64 of 100\n",
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      "Param = 15.00000 - classifier Evaluation Experiment 68 of 100\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Param = 15.00000 - classifier Evaluation Experiment 69 of 100\n",
      "Param = 15.00000 - classifier Evaluation Experiment 70 of 100\n",
      "Param = 15.00000 - classifier Evaluation Experiment 71 of 100\n",
      "Param = 15.00000 - classifier Evaluation Experiment 72 of 100\n",
      "Param = 15.00000 - classifier Evaluation Experiment 73 of 100\n",
      "Param = 15.00000 - classifier Evaluation Experiment 74 of 100\n",
      "Param = 15.00000 - classifier Evaluation Experiment 75 of 100\n",
      "Param = 15.00000 - classifier Evaluation Experiment 76 of 100\n",
      "Param = 15.00000 - classifier Evaluation Experiment 77 of 100\n",
      "Param = 15.00000 - classifier Evaluation Experiment 78 of 100\n",
      "Param = 15.00000 - classifier Evaluation Experiment 79 of 100\n",
      "Param = 15.00000 - classifier Evaluation Experiment 80 of 100\n",
      "Param = 15.00000 - classifier Evaluation Experiment 81 of 100\n",
      "Param = 15.00000 - classifier Evaluation Experiment 82 of 100\n",
      "Param = 15.00000 - classifier Evaluation Experiment 83 of 100\n",
      "Param = 15.00000 - classifier Evaluation Experiment 84 of 100\n",
      "Param = 15.00000 - classifier Evaluation Experiment 85 of 100\n",
      "Param = 15.00000 - classifier Evaluation Experiment 86 of 100\n",
      "Param = 15.00000 - classifier Evaluation Experiment 87 of 100\n",
      "Param = 15.00000 - classifier Evaluation Experiment 88 of 100\n",
      "Param = 15.00000 - classifier Evaluation Experiment 89 of 100\n",
      "Param = 15.00000 - classifier Evaluation Experiment 90 of 100\n",
      "Param = 15.00000 - classifier Evaluation Experiment 91 of 100\n",
      "Param = 15.00000 - classifier Evaluation Experiment 92 of 100\n",
      "Param = 15.00000 - classifier Evaluation Experiment 93 of 100\n",
      "Param = 15.00000 - classifier Evaluation Experiment 94 of 100\n",
      "Param = 15.00000 - classifier Evaluation Experiment 95 of 100\n",
      "Param = 15.00000 - classifier Evaluation Experiment 96 of 100\n",
      "Param = 15.00000 - classifier Evaluation Experiment 97 of 100\n",
      "Param = 15.00000 - classifier Evaluation Experiment 98 of 100\n",
      "Param = 15.00000 - classifier Evaluation Experiment 99 of 100\n",
      "Param = 15.00000 - classifier Evaluation Experiment 100 of 100\n",
      "\t\t, end=\n",
      "Conversations\t\t\tHuman-Gathering\t\t\tMultimedia\t\t\tOutdoors\t\t\tScream\t\t\tSobbandCry\t\tOVERALL\n",
      "\tC\tPRE\tREC\tf1\tPRE\tREC\tf1\tPRE\tREC\tf1\tPRE\tREC\tf1\tPRE\tREC\tf1\tPRE\tREC\tf1\tACC\tf1\n",
      "\t1.000\t97.6\t93.3\t95.4\t98.0\t100.0\t99.0\t99.4\t100.0\t99.7\t85.2\t99.5\t91.8\t84.4\t77.8\t81.0\t87.5\t78.5\t82.7\t91.8\t91.6\n",
      "\t3.000\t96.1\t89.7\t92.8\t94.2\t100.0\t97.0\t98.2\t98.8\t98.5\t86.3\t99.8\t92.6\t95.7\t73.8\t83.3\t83.5\t93.7\t88.3\t92.2\t92.1\t best f1\t best Acc\n",
      "\t5.000\t97.2\t93.0\t95.1\t92.8\t100.0\t96.2\t96.3\t99.0\t97.6\t82.8\t99.7\t90.5\t95.3\t71.3\t81.6\t87.6\t88.0\t87.8\t91.6\t91.5\n",
      "\t7.000\t96.6\t95.7\t96.1\t90.6\t100.0\t95.1\t97.0\t98.6\t97.8\t83.4\t100.0\t91.0\t95.8\t68.0\t79.5\t86.0\t86.2\t86.1\t91.2\t90.9\n",
      "\t9.000\t99.6\t90.3\t94.8\t88.5\t100.0\t93.9\t94.5\t96.6\t95.5\t78.5\t100.0\t88.0\t98.1\t61.8\t75.9\t82.6\t90.5\t86.4\t89.3\t89.1\n",
      "\t11.000\t98.3\t86.8\t92.2\t87.6\t100.0\t93.4\t91.1\t86.2\t88.6\t72.8\t100.0\t84.3\t100.0\t61.0\t75.8\t83.0\t90.5\t86.6\t86.9\t86.8\n",
      "\t13.000\t98.0\t82.3\t89.5\t84.0\t100.0\t91.3\t87.8\t89.4\t88.6\t74.1\t99.3\t84.9\t99.4\t53.7\t69.7\t77.4\t89.7\t83.1\t84.9\t84.5\n",
      "\t15.000\t97.8\t79.7\t87.8\t82.2\t100.0\t90.3\t86.4\t87.8\t87.1\t74.9\t99.2\t85.4\t100.0\t54.3\t70.4\t77.7\t92.2\t84.3\t84.6\t84.2\n",
      "Confusion Matrix:\n",
      "\tCon\tHum\tMul\tOut\tScr\tSob\n",
      "Con\t16.81\t0.00\t0.00\t0.84\t0.00\t1.09\n",
      "Hum\t0.00\t15.62\t0.00\t0.00\t0.00\t0.00\n",
      "Mul\t0.00\t0.19\t15.44\t0.00\t0.00\t0.00\n",
      "Out\t0.03\t0.00\t0.00\t18.72\t0.00\t0.00\n",
      "Scr\t0.59\t0.78\t0.28\t2.03\t13.84\t1.22\n",
      "Sob\t0.06\t0.00\t0.00\t0.09\t0.63\t11.72\n",
      "Selected params: 3.00000\n"
     ]
    }
   ],
   "source": [
    "aT.featureAndTrain(['./Conversations','./Human-Gathering','./Multimedia','./Outdoors','./Scream','./SobbandCry'],1.0,1.0,\n",
    "                  aT.shortTermWindow,aT.shortTermStep,\"knn\",\"knn6Classes\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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