poc_mscred.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "parliamentary-credit",
   "metadata": {},
   "outputs": [],
   "source": [
    "import mscred"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "least-archives",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(1918, 8, 91, 91, 5)\n",
      "(1918, 91, 91, 5)\n"
     ]
    }
   ],
   "source": [
    "## Read cached training data, or using your own formats the shapes are here as an example. \n",
    "with open( 'training.data', 'rb' ) as handle:\n",
    "    [ train_in, train_out, eval_in, eval_out ] = pickle.load( handle )\n",
    "\n",
    "print( train_in.shape )\n",
    "print( train_out.shape )\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "level-above",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Tensor(\"input_2:0\", shape=(None, 8, 91, 91, 5), dtype=float32)\n",
      "Tensor(\"time_distributed_4/Reshape_1:0\", shape=(None, 8, 91, 91, 32), dtype=float32)\n",
      "Tensor(\"time_distributed_5/Reshape_1:0\", shape=(None, 8, 46, 46, 64), dtype=float32)\n",
      "Tensor(\"time_distributed_6/Reshape_1:0\", shape=(None, 8, 23, 23, 128), dtype=float32)\n",
      "Tensor(\"time_distributed_7/Reshape_1:0\", shape=(None, 8, 12, 12, 256), dtype=float32)\n",
      "Tensor(\"conv_lstm_0/strided_slice_8:0\", shape=(None, 91, 91, 32), dtype=float32)\n",
      "Tensor(\"conv_lstm_1/strided_slice_8:0\", shape=(None, 46, 46, 64), dtype=float32)\n",
      "Tensor(\"conv_lstm_2/strided_slice_8:0\", shape=(None, 23, 23, 128), dtype=float32)\n",
      "Tensor(\"conv_lstm_3/strided_slice_8:0\", shape=(None, 12, 12, 256), dtype=float32)\n",
      "Tensor(\"conv2d_transpose_4/Selu:0\", shape=(None, 24, 24, 128), dtype=float32)\n",
      "Tensor(\"conv2d_transpose_5/Selu:0\", shape=(None, 46, 46, 64), dtype=float32)\n",
      "Tensor(\"conv2d_transpose_6/Selu:0\", shape=(None, 92, 92, 32), dtype=float32)\n",
      "Tensor(\"conv2d_transpose_7/Selu:0\", shape=(None, 91, 91, 5), dtype=float32)\n"
     ]
    }
   ],
   "source": [
    "model = mscred.build_mscred( input_tensor = train_in )\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "raised-prize",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Model: \"functional_3\"\n",
      "__________________________________________________________________________________________________\n",
      "Layer (type)                    Output Shape         Param #     Connected to                     \n",
      "==================================================================================================\n",
      "input (InputLayer)              [(None, 8, 91, 91, 5 0                                            \n",
      "__________________________________________________________________________________________________\n",
      "time_distributed_4 (TimeDistrib (None, 8, 91, 91, 32 672         input[0][0]                      \n",
      "__________________________________________________________________________________________________\n",
      "time_distributed_5 (TimeDistrib (None, 8, 46, 46, 64 8256        time_distributed_4[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "time_distributed_6 (TimeDistrib (None, 8, 23, 23, 12 32896       time_distributed_5[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "time_distributed_7 (TimeDistrib (None, 8, 12, 12, 25 131328      time_distributed_6[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "conv_lstm_3 (ConvLSTM2D)        (None, 12, 12, 256)  2098176     time_distributed_7[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_transpose_4 (Conv2DTrans (None, 24, 24, 128)  131200      conv_lstm_3[0][0]                \n",
      "__________________________________________________________________________________________________\n",
      "conv_lstm_2 (ConvLSTM2D)        (None, 23, 23, 128)  524800      time_distributed_6[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "slice_deconv_2 (Lambda)         (None, 23, 23, 128)  0           conv2d_transpose_4[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "concatenate_3 (Concatenate)     (None, 23, 23, 256)  0           conv_lstm_2[0][0]                \n",
      "                                                                 slice_deconv_2[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "conv_lstm_1 (ConvLSTM2D)        (None, 46, 46, 64)   131328      time_distributed_5[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_transpose_5 (Conv2DTrans (None, 46, 46, 64)   65600       concatenate_3[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "concatenate_4 (Concatenate)     (None, 46, 46, 128)  0           conv_lstm_1[0][0]                \n",
      "                                                                 conv2d_transpose_5[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_transpose_6 (Conv2DTrans (None, 92, 92, 32)   16416       concatenate_4[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "conv_lstm_0 (ConvLSTM2D)        (None, 91, 91, 32)   32896       time_distributed_4[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "slice_deconv_0 (Lambda)         (None, 91, 91, 32)   0           conv2d_transpose_6[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "concatenate_5 (Concatenate)     (None, 91, 91, 64)   0           conv_lstm_0[0][0]                \n",
      "                                                                 slice_deconv_0[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_transpose_7 (Conv2DTrans (None, 91, 91, 5)    1285        concatenate_5[0][0]              \n",
      "==================================================================================================\n",
      "Total params: 3,174,853\n",
      "Trainable params: 3,174,853\n",
      "Non-trainable params: 0\n",
      "__________________________________________________________________________________________________\n"
     ]
    },
    {
     "data": {
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AANAtn88nh8Nhd4yQeL1eLVmyRIZh+JfV1tbK6XTK4XCooKBAXq83orbdbre/HafTqdra2j7JXF5e3u3+9Xg8Ki8v9/cdT/2F2lbHTJMmTVJubm7E31Vfu+qqq/Ttb39bt99+u91RACAujBkzhjl3gH5GcQcAAAAAYlxJSYlKSkps63/Lli229R0On8+nvLw8zZo1S2lpaZIOFA1SUlJUV1cn0zQ1YcIE5eXlyePxhNV2WVmZnE6nSkpKZJqmSkpKlJWV1esnhDwej+bOndttv8XFxRo+fLjuuecemaYZN/2F2lawTOnp6Vq8eLHy8vJi4gmeQYMG6aabbtLatWv1wQcf2B0HAGJeWlqadu3apa+//truKMCARXEHAAAAANAln8+n8vJyu2OEpKKiQunp6crIyPAvmzt3brunP6ZPny632x32MHeFhYWSDhQdAv+7efPmiPP6fD499NBDXb5fUFCgtrY2VVZWyjAMpaamRtxXtPsLta3uMmVkZGjkyJGqqKiIOEdfmjlzpg499FA9+OCDdkcBgJg3ZswYffXVV3r77bftjgIMWBR3AAAAACCGeb1e/7BiwV673W7/MGEtLS3+dawhxKRvhrwqKChoN0SKw+Hw/3S1rLS0VG63u917UuzNA+T1elVYWKiJEye2W75q1SpVV1d3Wn/kyJFhtV9aWipJamxslCT/vu7NE1UVFRWaN29e0PesfVtSUqKkpKSI+7Cjv3Da6i6TJE2dOlWFhYUxMTzb0KFDNXPmTK1cuVL79++3Ow4AxLTRo0fL4XAw7w7QjyjuAAAAAEAMy8vLU1ZWlr/AEvi6sbFRhmGoublZbrdbv/3tbyVJw4YNk9Pp9K+Tn5+vtrY2Se3HwG9tbe3UX3Nzc7vXgcUL0zR7PSxYf9m2bZukAzeTAuXn56uurs7/2tp2l8sVVvsLFy5UUVGRzj33XDU2NuqFF15Qa2ur/wmecDU0NOi8885TSkpKp/c8Ho+WLVumKVOm+AtzTqdTDQ0NEfUVzf7Caau7TBbr+7S+X7sVFBRo165devrpp+2OAgAxbejQoTr++OOZdwfoRxR3AAAAACCGBRYmOr62hh+zhrxauXKlJLUrwFjrJCUl+QsaVqEo2E31UIfisnseoI5efPFFST3nr6ysVFNTU0RFmZKSErlcLp177rnasWOHBg8eHFFWr9ert956q93wcYE2btwo6cC2WIW5kSNH6uKLL/Y/ORSr/YXaVk+ZLNaTP7Fyc/C0007TxIkTdd9999kdBQBi3re//W299dZbdscABiyKOwAAAACQIKyChjV/zECybNmyHtdpaGjQNddcE/HTNmVlZZowYYL/Kajc3Fz5fL6w23nssceUn5/f5fsd5/cJLMytXr06pvsLta2eMlms4k4sHbPXX3+9nnzySeaRAIAejBo1qtMTwQD6DsUdAAAAAEBCGDJkSMSFndraWhUWFmry5MlKSkpSbm6u3G631q1bF1Y7brdbl112Wdj9W7mtp7Nitb9Q2oo0U6y48sorddxxx2nFihV2RwGAmDZq1Cj/HHUA+h7FHQAAAABIMOHONzMQ1NbW9jgEWHeysrIkffMkybBhwyRJc+fODasdp9OpUaNGyeFw+H8s1r+t7yfYU0GGYcR0f6G0FUqmWHbwwQdr7ty5euCBB/T555/bHQcAYtaoUaN4yhHoRxR3AAAAACBBWPOWTJkyxeYkfa+0tFRS8KKCJE2fPr1X7XcsclhFnnCLH6ZpdvoJfE+Spk6dKkntbohZ25WdnR3T/YXSViiZOioqKgorR3/Ly8vTRx99FPaTWwCQSFJTU/Xxxx/r3//+t91RgAGJ4g4AAAAAxDCv19vu34GvrZvmgQWNwPelA0+sWOtUVlbKMIx2BQnrSQur8BM46X1BQYGkbwoYXq9XZWVlkqTi4mIVFxf3cuv6TlpamqSuiztd5S0rK5PD4ZDH4+m2/QULFkj6Zn9a+8laHk5bPcnMzFRRUZGKi4v93+e6detkGEa7IlUs9hdqW6GyhvMZN25c2J/tTyNGjNCPfvQjhmYDgG6ceOKJksS8O0A/obgDAAAAADHMGv7L+nfg6+Tk5Hb/7bi+JJ122mlyOp1KTk5WamqqKisr272/aNEiGYahMWPGyO12KyMjQ4ZhqKamRkuXLpUklZSUSJLuvvtu5ebm9u0G9pHx48dLkvbs2RPW59ra2uRyuXosVGVmZqq+vl6bN2+Ww+HQ6tWrVV9fr8zMzLDbCkVJSYkMw9CwYcP8Q5V1/O5itb9Q2gqV9X1a328suf7669XY2Kimpia7owBATEpNTZXD4aC4A/QTh9nVM88AgD5VXV2tnJycLoeaAAAAA0tOTo4kqaqqypb+rZvq8fC7h8PhUFVVVdhDgHVkPVW0cOHCsD/rdDpVV1fXq/77o61E76+4uFjJyckRfacd9fXv46ZpasyYMZoyZYruvPPOPmkTAAaaESNGaNGiRZo/f77dUYABhyd3AAAAAAADQl5enjZv3txuaLlQNDY2avHixX2SoS/bSvT+PB6PPB6P8vLyotJfuBwOh2bPnq3q6mp9+eWXdscBgJh04okn8uQO0E8o7gAAAADAANNxnp5EkZSUpIqKCi1fvjzkeWgaGhp01FFHKSMjo9f992Vbid7fzp07tXLlSlVUVCgpKanf+4vUzJkz9cEHH+iJJ56wOwoAxKTU1FT//GkA+hbFHQCIM7E2eXEwXq9XtbW1cjqd/mX9mTuw7WB9x4Jo5gqc7DoYjqHEVlZW1uVk4/0hlr83rkvd5+rpWpIIon2+9KWO8/QkkpSUFFVWVmrjxo0hrZ+Zmam0tLQ+6bsv20r0/txut5YuXaqUlJSo9Bep448/XpdccokefPBBu6MAQEwaNWqU3n77bbtjAAMSxR0AiGE+n88/Xn48WbJkibKysuR2uyNuI9Jt74u++yJHR32Vy+PxqLy8XE6nM2gur9erJUuWyDAMSRxD8bjtvdXS0qKCggI5HA4VFBSooaGh3fuTJk1Sbm5uRH/J73A4wvqJlu4ylJWVye1298kN+kS6LnW8lgRqbGxUcXGxfx8XFxfL4/HI6/Xaes71dOxHcpz05nyxm2ma7X4STVJSUp/M0QL7LFy4MOYLO5bZs2frqaeeUmtrq91RACDmHH/88frXv/5ldwxgYDIBAFFRVVVlhnvZraurC/szsUJSr7L3Ztt723df5eiot7lKS0tNwzDMuro6s7m5udP7bW1tpmEY5tatW/3LOIbic9sj1dbWZtbV1fn/XVNTY0ryL7Ns3brVNAzDbGtrC6t9SWZNTU2nZR33s9VvNLW2tvqzBG5XU1OTaRiGaRiG2dra2qs+EuW6FOxaYikqKjJdLpf5xhtv+Je1trb6M9l1zoV67EdynER6vpimaWZnZ5vZ2dkRbFHikWRWVVXZHQMDXCS/j4fis88+M7/1rW+Zt99+e5+3DQDxbv369eagQYPMr776yu4owIDDkzsAEKN8Pp/Ky8vtjmGLWNn2WMkhSQUFBWpra1NlZaUMw1BqamqndSoqKpSenu4fBz+W8kdbom77li1b/E9aJCUlafr06ZLUaditjIwMjRw5UhUVFWH3YbXZncmTJ4fdbm8F/nV34NwM6enp/u3My8uL+AmeWDmmopGj47XEYj2hs2LFinbDMqWkpMgwDG3durVfc3Un1GM/kuOkN+cLgMRw2GGHadq0afrTn/5kdxQAiDnDhw/X/v379f7779sdBRhwKO4AQIwqLS31D5VjDRvTcX6Ejq/dbrd/OBprwsLa2tpOyyzWfAoOh0NOp7PTEDah8vl8/n6cTqd27kPikwwAACAASURBVNzZqZ9g8zpYfZeXl7cbzqerbXe73XI6nfL5fCooKFBxcXG3c0YEbl/H7Q82dFTHZcFyhLrveton4bDm7SgpKelyQmGv16vCwkJNnDjRv4xjKPh3F0kmq49Q1uk4iXmw/et0OtXS0qLGxsYuhzKzts3hcIQ8AWmwIbQkyeVydVo2depUFRYWtsvb0xw0zc3NIeVISkpSc3NzzBxvKSkpWrBggdxut7Zs2RI0iyXRr0vBriXSgaHYli1bpsWLF3e5n4NNsB6tcyQ9PT1opmDHfleCHSeWYOcLAASaPXu2duzYoVdeecXuKAAQU4YPHy5Jeuedd2xOAgxAdj86BACJIpJhINRhiBvDMNotC3zd1NRkmuaB4WMkmS6Xyz+kTnNzs3+ZpbW11TQMwz/EUn19fbt2wmEYhulyufxD1ljD4QTLaSktLfUPLdbW1mYWFRW1e7+7bd+6davZ1NRkulyuoG0Hrhe4rZL8w+0EDs1jsfZTdzlC3Xc97ZNQNTU1+YcWWrVqlSnJNAzDrK+vb7eeNSRSx+HaOIYi/1XHMAyzqKjI/9rlcrV7ba2zatUq0zS/2R+Bwzd1PG5Ns/O+tPZbx7ZN88AQWJHsT0tbW1vQoakCcwS+V1RUFDRHd7rbz9E+3rrLYu0Lq02uS8GvS11dS6x9Ee7QdnadI90d++EcJ5Zg50soGJYtdGJYNkRBfw3LZjnttNPMG264od/aB4B49Mknn5iSzCeeeMLuKMCAQ3EHAKKkL4o7wZaFsk6wZcHmxOjq5ll3rBuBgfMvWDfHusvZ8SahdVMzlG3oOO9BKPvkjTfeMCX5bzL21Ed36/S070LdJ6EoLS1td4O2ra3NdLlc7W6EmqbZ6SZ0b7dxoB5DobK2LbB9a94Ni3XDueM6Uvt5aULZl9b3F3hsW8WF3qivr+9yrhBrH5eWlvaqj572czSPt95m4boU3rWkJ3aeI90d++EeJ1ZfkZwvFHdCJ1HcQf/r7+LO7373O/Ooo44yP//8837rAwDi0ZFHHmnef//9dscABhyKOwAQJbFW3An8a+mOP+GwCg09Ze/42vpcTU1NyDffusoXyj4Jdb1Q1ulp34W6T0IR7DPW0zyBf1ke6jaHuo0D9RgKlbVt4ea2bgAHFoFC2ZfWdxp4w7u+vr5XT+2Y5oHtCCwCdtSbfRRqG9E83nqbhetSeNeSnth5jnR37Id7nIT6uWCys7O7/F744Ycf+376yzvvvGMOGjQo7Kf8AGCgS0tLM0tKSuyOAQw4DtM0TQEA+l11dbVycnIUzmXXmlsg8DMdl4WyTqifi0RX7fTU386dO1VYWOifO6K0tFQLFy4MaxvC3bZI9l04OcLNGYq+3uZQPztQj6HeZuqL3F0ts+Ycqaurk3Rg/puSkpKws1tqa2v18ccfKz8/P+xtCEe450N/Hm/drePz+ZScnKyioiL/fuW6FHrOgoICrVy5Um1tbV3O/dWXffbmHOnp2A/3OAnlc13JyclRS0uL5s+fH/JnEtW0adM0f/58nX/++XZHwQD23HPP6a677ur17y7dmTBhgo4//nhVVVX1Wx8A8P/Yu/f4pur7f+CvcKuWS0qBFEGKAhYYYhUUCoqVcrOwEy5ybe38sm9hqd+JbvTnNkxEVsb8znb6FQdd201Z7eUBTkozvGCpwjYoTFgzYIwqjEYsa+SScL/J+f3B44QkTdskTfJJ0tfz8cgDenry+bzOyUko593P5xNukpOT8cADD2Dt2rWioxBFlE6iAxARkVh1dXVISEgIer8JCQmorKyEyWRCfn4+srOzAcDpRmogeLO4dmuCce50Oh3y8/Nhs9ma3FCVJCmgfXsqEq8hSZJgNBphMpmaXahd2cdisUCj0Th9z5frLC0tDYsWLUJNTQ369euHMWPG+JQdAEwmEw4dOtSm4lCo8vV6Uxa4njhxYrP78HOpedOnT0d+fj6OHz/e7HvClYj3SFuvfU+uE2/Fx8dj3rx5fmsvko0dO5bnigLq+vXrAe9j4cKF+MlPfoJLly4hOjo64P0REYWDvn374uTJk6JjEEWcDqIDEBGRGAUFBQCA4uJi2Gw2AIDFYkFeXp5P7ZhMJq+ep1KpYLPZkJiYiPXr16O2ttZ+IzUQlHzJycltbqu1c+frOXFHucl1/Phx+zalz7S0NPu23Nxcp+8FQyRfQ0rhTCmsAYDZbEZWVpZ9H+X8Hzt2zL5N2deXm5MpKSkAgA0bNmDXrl14/PHHfcpusVhQVVXldHPbZDI5ZXek1+t96ifY2nK9WSwWvPHGG5AkyX6e3eHnUvOfJZIkQZIk5OfnN/tcs9ns9HoE+z3i7bXvypPrJFzeL0QkzlNPPYXLly/jgw8+EB2FiChk3HXXXSzuEAVCmyZ1IyIij/my5o6yhkJjY6Ocm5trX9xb2eb4tbI+hOs+nmxzfNTX13uVsb6+XgZurZ+gPFdZRBu4tS6Mu/6BWwt9K8+pr693Wqi6pWN35K5t5bnbt2+37yNJUpOFsJX1IJQFxpWFvpXc7nJ4cu48OSfe0Ov1siRJ9uMrKChwWq9Clm8vlu76+vEacn7tPKVcM47HpdPpmixGL0mS02tTVlbm9Pq6O7+Oi9g7LjQvy7cXjfc2b0u5lYfr/P/KeXfcrtfrm12gvrn+mjsWd98P5PXmeF4d18upra1t8jo11wc/l5r/LHHM7PpeUNp3PcfBfI94eu17e504Hp+791Fr0tLS5LS0NK+e014BkEtKSkTHoAjny8/jvpgyZYo8d+7cgPdDRBQufvnLX8qDBw8WHYMo4rC4Q0QUJL78Z1JZQFqv1zd7487xIcuyx9tk+dbNKuVGmU6n8/qmvGM7yg1J5Ua8JElyWVmZ29xKJuXGpLsbdS0du7uFuF2Pbfv27fYbfTqdzn5D1TW3so9yw84xt7scnp671s6JtwoKCuzHWFBQ0GSxd+UcuS4gzmuo6WvnqcbGRvux6fX6JjezlX0cX5uysjKn18abc+mY2V1fnlDOobuHa5tK0cDx3HhT3GnpGmptH39fby31kZub2+R90VK/7f1zqbnPEoXVapUrKyudrjVJkuSCgoJmC0LBeI94cu37cp0o3L1fPMHijucAFnco8IJV3CkqKpLvvPNO+dy5cwHvi4goHPz+97+Xo6OjRccgijgqWQ7gSoJERGRXWlqK9PT0gC7gSu2bMh1SoNcHochgMBgQExPD64Wa4GdJU76+X9LT0wGAC6t7QKVSoaSkxGnKUSJ/C9bP42fPnkXfvn3x9ttv85omIgKwZcsWzJo1C1euXEFUVJToOEQRg2vuEBERRYjMzEzs2LEDNTU1oqNQiDOZTDCZTMjMzBQdhUIQP0uc8f1CRN7q2bMnpkyZgvLyctFRiIhCQmxsLADgzJkzgpMQRRYWd4iIiCKEWq1GUVER1qxZ0+qi6dR+1dXVIT8/H0VFRVCr1aLjUAjiZ8ltfL+EB4vFYh9xRpErLy8PNptNdAyPLVy4ENu2bYPVahUdhYhIuF69egG4NbKRiPyHxR0iImpCpVJ59CDfBeocazQaFBcXo6qqKgCpPReK11AoZvKUP7MbjUasWrUKGo0mwKkpnIXKZ4lo4f5+sdlsAf1cC3T7nrBYLFi5ciUkSbJvKy8vh1arhUqlQlZWFiwWi09tG41GeztardbnURhmsxlZWVn2PNXV1W6Pw2Aw2D/P2zLiI9j92Ww21NTUoLCwEFqt1udMQMvnfPLkycjIyPD59Qw25Tg2b94sOgoRkXDKyJ1Tp04JTkIUWVjcISKiJmRZ9uhBvgvkOVar1cLXygjFaygUM3nKn9mXL18etjeqKbhC4bNEtHB/v+zcuTOs22+NzWZDZmYmnnnmGSQkJAAACgsLodFoUFlZCVmWkZycjMzMTK9HoeXl5UGr1SInJweyLCMnJweLFi3yeoSQzWaDyWTC+vXrYbVakZycjEmTJsFoNNr3sVgsOHbsmL2vsrIyn/oS0R8A5ObmYuvWrVi6dKlTP95kAlo/54mJiVixYgUyMzPDYgRPjx49MH36dLz33nuioxARCcdp2YgCQyWH6l0MIqIIE6wFXImIiCg0pKenAwBKSkqC3rfNZkNGRgaMRmNAfvbwd/sqlQolJSVeLT6fl5cHq9WKnJwcp3bKysqwcOFCp22SJKGystKrPACcjs2XdoxGo9OoIndt19TUICkpqdX+Q7E/T9rwJFNL21zPeVZWFoYMGeJT8TnYP48XFxdjyZIlOHXqFLp16xaUPomIQlW3bt2wdu1aLF68WHQUoojBkTtEREREREQhxGazoby83D5lVmFhodNUVO6mY3Tdlpubax8ZoWy3WCz2aa+AW6NclGmy6urq2tw+ABgMBhgMhkCcFicWiwXZ2dmYOHGi0/aCggKUlpY22b9///5etZ+bmwvgViEEuDWtGACnQpInXIsaCp1OZ/+7a6FFGZWi1+u96ktEf/7KBHh+zufNm4fs7OywmJ5txowZ+Pbbb/HRRx+JjkJEJFyvXr04cofIz1jcISIiIiIiCiEZGRk4f/48ZFlGY2MjjEaj01RUjY2NTZ5TX1/v9LXjDXFl6sa4uDhotVoYjUbU1NRgyZIl9sXehw4dai/w+Np+MO3ZswcAMGTIEKftS5YscRrloRyTayGhNcuXL4der8e4ceNQU1ODXbt2obGxEYmJiW3KrbyG06dPd/t9s9lsL3JkZGS0qS8R/bUlk6fnXHnNlWsglMXGxmLChAlejfYiIopULO4Q+R+LO0RERERERCGiuroaRqMRM2fOBABoNBqsWLECRqMRH374oX2bq/j4+FbbdizAKKM31Gq1vfChjMTxtX3gVtHH29Etvti7dy+A1nMVFxejtrbWp6JMTk4OdDodxo0bh0OHDiEqKsqnrI727dsHSZLw+OOPN/me2WzGwIEDsXr1agBwu35NqPfX1kyenHO1Wg0ATqPNQtnMmTOxdetW3LhxQ3QUIiKhevbsiVOnTomOQRRRWNwhIiIiIiIKEZs2bQLgXGAZPnw4ALidbswflMJHdnZ2QNoPBKUg0ZLq6mrMnTvX59E2eXl5SE5Oto9uysjIsI868dUbb7yBFStW2AsUjuLj4yHLMmpra6HX65GdnY3CwsKw6q+tmTw558rzwuV61Wq1OHPmDP785z+LjkJEJFRsbCzOnj0rOgZRRGFxh4iIiIiIKETk5+c32abczA7WyIpIER0d7XNhp7y8HNnZ2UhNTYVarUZGRgaMRiM2btzoc57y8nJIktRkzRtXiYmJ9inSli5dGjb9tTVTIM55KLj33nvxwAMPYMuWLaKjEBEJ1bNnTxZ3iPyMxR0iIiIiIqIQoSw+726xeG/XjfFWoNsPpvLy8laLGi1ZtGgRgNuFtbi4OAC+Fz9MJhMOHTqEJUuWeLR/QkKCT/2I6s8TrWXy9zkPJTNnzmRxlojave7du+PChQuiYxBFFBZ3iIiIiIiIQkRaWhoA4NixY/ZtyrRU8+bNC0ifytolrgvch7Lc3FwAaHaatIULF7apfaXIplAKDq7bPWGxWFBVVeW0FpHJZEJWVlazz1GOq6ysLOT781cmb8+5Xq8PQNLAmDlzJo4dO4YDBw6IjkJEJEy3bt1w8eJF0TGIIgqLO0RERERERCEiNTUVkiRhzZo19tE7H374IXQ6HVJSUuz7KaNslMJMTU2N/XvKDXPHUUB5eXlO/ZSXlwO4dVO/uLgYkiQ53UT3tX2DwQCDweD7CfCQMtKkueJOczny8vKgUqlgMplabP+FF14AcPs8KcevbPe0LYvFgszMTGRnZ0OlUtkfDz74oL2YptVqkZeXB7PZbD+m3Nxc6PV6pyJVKPancHwdXF8TTzIBnp1zAPbcY8aMaTVXqBg1ahTuvvtuVFRUiI5CRCRM165d27x2HRE5Y3GHiIiIiIgoRKjVahQVFUGSJMTFxUGlUgEAXn31Vaf9fvazn0GSJAwdOhRGoxFJSUmQJAllZWVYtWoVANhHSaxdu9a+popi+PDh0Gq1iImJQXx8PIqLi/3afqCNHTsWANDQ0ODV86xWK3Q6XasFqJSUFGzfvh07duyASqXChg0bsH37dqcCmydtrVy5stnpuIYOHQoAWLJkCbKzszFw4ECoVCoUFRVhxowZTqNcQrU/AFCpVIiJibF/HRMTY79uPc0EeHbOgduvuXINhAOVSgWtVovKykrRUYiIhOG0bET+p5JlWRYdgoioPSgtLUV6ejr4sUtERNQ+pKenAwBKSkoEJ7lNuekeaj+PqFQqlJSU2Kel84QyWmj58uVe9+fPG+3Bvmkf6f21xmAwICYmxqfXXeTP4x9//DFSU1Pxn//8BxqNJuj9ExGJVlJSgu9///u4evWq6ChEEYMjd4iIiIiIiCjsZGZmYseOHU5TxnmipqYGK1as8EsGf7bF/lpnMplgMpmQmZkpOorXHn/8cdxxxx3Ytm2b6ChEREJ069YN165dw/Xr10VHIYoYLO4QERERERG1A8oaPq5/D1fKFHZr1qzxaF0YAKiurkZsbCySkpLa3L8/22J/raurq0N+fj6KioqgVqtFx/HanXfeiQkTJuCjjz4SHYWISIiuXbsCAKdmI/KjTqIDEBERERERUeDFxcU5/T3UpmbzhUajQXFxMYqKipCYmNjq/q7rt7SFP9tif60zGo1YtWpVWE9pNm3aNPzv//4vZFl2WpeIiKg96NatGwDg/Pnz6Nmzp+A0RJGBI3eIiIiIiIjaAVmWnR6RQq1W+7T+CoWX5cuXh3VhB7hV3LFYLPj73/8uOgoRUdApxZ1z584JTkIUOVjcISIiIiIiIiIKsBEjRmDAgAFcd4eI2qUePXoAAC5evCg4CVHkYHGHiIiIiIiIiCgIpk6dynV3iKhdUkbuXLp0SXASosjB4g4RERERERERURBMmzYNu3btwvnz50VHISIKqo4dOwJgcYfIn1jcISIiIiIiIiIKgkmTJuHmzZuorq4WHYWIKKiio6NFRyCKOJ1EByAiam82bdokOgIRhbmbN2/izJkz6N27t+goRNQCs9kMgP/2e2rPnj3o3Lmz6BgUwULhvRgbG4sxY8bg448/xsyZM0XHISIKGuXfeJvNJjgJUeRQybIsiw5BRNQe7N27F2PHjhUdg4iIiIio3erSpQuuXr0qNMOqVavw7rvv4osvvhCag4go2KKiovD2228jLS1NdBSiiMCRO0REQTJmzBiwnk5E3rBardi6dSsqKirw4Ycf4tKlSxgzZgxmzZqFWbNmYdiwYaIjkpcyMjLwt7/9Df/85z/RoQNnSCYiao8mT56MV155BWazGfHx8aLjEBEFzZ133omLFy+KjkEUMfg/SiIiIqIQ8vXXX2PdunWYOnUqNBoNFi9eDJvNhtdeew0nTpxATU0NfvrTn7KwE6b0ej2+/PJLlJeXi45CRESCPPLII4iOjsZnn30mOgoRUVCpVCrcuHFDdAyiiMHiDhEREZFghw8fxquvvoqxY8diwIAB+MlPfoKYmBi88847sFgs2LZtG7KystCvXz/RUamNhg4digULFmD16tW4efOm6DhERCRAly5d8Oijj2Lnzp2ioxARBVWPHj1w7do10TGIIganZSMiIiIKMlmWsXfvXmzevBkVFRU4cuQINBoNtFotDAYDJk+ejDvuuEN0TAoQg8GAESNGYOPGjVi4cKHoOEREJEBycjJ+//vfi45BRBR0ly9fFh2BKGJw5A4RERFREFy7ds0+Aufuu+9GUlISNm3ahBkzZmDnzp1oaGhAYWEhvvvd77KwE+GGDRvG0TtERO1ccnIyjh07hq+++kp0FCKioOnatSvXIibyIxZ3iIiIiALk/Pnz2LRpE9LS0hAXF4dp06Zhz549+MEPfgCTyYSjR48iLy8PEyZMQMeOHUXHpSDS6/U4fPgw3nvvPdFRiIhIgDFjxiA6Oho7duwQHYWIKGg6deqEc+fOiY5BFDFY3CEiIiLyI4vFYh+Bo9FosGjRIpw8eRKvvPIKjh8/jv379+Pll1/GAw88IDoqCfSd73wH8+bN4+gdIqJ2qkuXLhg/fjw+++wz0VGIiIgoTHHNHSIiIqI2OnbsmH39nF27diEqKgpTp07FunXrIEkSevfuLToihSC9Xo/ExES8//77mDt3rug4REQUZMnJyXjnnXdExyAiChpOP03kXxy5Q0REROQDxxE4gwcPxpo1a3Dvvfdi06ZNOHXqFCoqKrB48WIWdqhZ999/P5566ink5ORw7nEionboiSeewNGjR3HixAnRUYiIgiIqKkp0BKKIwuIOERERkQe+/fZbfPrpp3j++edxzz33YPTo0XjnnXeQnJyMqqoqNDY24g9/+APmzJmD6Oho0XEpTBgMBhw4cACbN28WHYWIiIJMWXeHU7MRERGRLzgtGxEREVEzLl26hE8++QQVFRUwGo04ffo0RowYgaeffhqzZs3C6NGjoVKpRMekMDZy5EjMmTMHP//5zzF79mxeT0RE7UiXLl2QlJSEHTt24OmnnxYdh4goKK5cuSI6AlHEYHGHiIiIyMGZM2fwpz/9CRUVFfj4449x5coVJCUl4cUXX8Ts2bNx3333iY5IEeall17CqFGjsG3bNkybNk10HCIiCqLHHnsMf/zjH0XHICIKmqtXr4qOQBQxVDIn+CYiIqJ2zmw2Y8uWLaioqMDOnTvRoUMHpKSkYPbs2dBqtejbt6/oiBThnnzySVy9ehWffvqp6ChERBRE27ZtQ2pqKs6cOQO1Wi06DhFRQE2YMAEjR47EunXrREchiggcuUNERETt0sGDB7FlyxZs3rwZ+/fvR/fu3ZGamop3330Xqamp6NGjh+iI1I78v//3/zB58mR8/vnnePjhh0XHISKiIBk7diwAYNeuXUhNTRWchoiIiMJJB9EBiIiIiILh5s2b+Otf/4oXX3wR9913H0aOHIm33noLo0ePxgcffACLxYLy8nIsWLCAhR0KukmTJmHUqFF47bXXREchIqIgUqvVGD58OGpqakRHISIiojDDkTtEREQUsa5evYrq6mpUVFRgy5YtaGxsxH333YfZs2dj1qxZSEpKQocO/F0XCg0/+clPsGjRInz55ZcYMmSI6DhERBQkSUlJ2L17t+gYREREFGZY3CEiIqKIcu7cOXzwwQfYvHkzPvroI5w/fx6jRo3Cc889h1mzZmHEiBGiIxK5NWfOHAwaNAh5eXlYv3696DhERBQk48aNw3vvvYebN2/yl06IiIjIY/ypgYiIiMLeyZMn8dvf/hapqano06cPMjIycPr0afziF79AfX09Pv/8c7z00kss7FBI69SpE370ox9hw4YNsFgsouMQEVGQjBs3DjabDYcPHxYdhYiIiMIIiztEREQUlr744gv86le/wvjx43H33Xfjxz/+MaKjo1FYWIjGxkZUVVXhhz/8IQYMGCA6KpHHFi9ejK5du2Lt2rWioxARUZAMHz4csbGx2LVrl+goREREFEZY3CEiIqKwIMuy0wichIQEvPbaaxg6dCjef/99nDp1Cn/84x/xve99D7GxsaLjEvnkzjvvxPPPP4/f/OY3uHDhgug4REQUBCqVCmPHjmVxh4jaBZVKJToCUcRgcYeIiIhC1o0bN+wjcAYOHIhHHnkEJSUlmDJlCj799FP85z//wdtvv42ZM2fizjvvFB2XyC+ysrJw/fp1FBUViY5CRERBkpSUhN27d4uOQUQUcD169BAdgShisLhDREREIeXixYt4//338b3vfQ8ajQZTpkzBn//8ZyxevBj79+/H8ePH8cYbb+CJJ55Ax44dRccl8rtevXph8eLFeP3113Hjxg3RcYiIKAjGjRuHuro6nDlzRnQUIqKAOX/+vOgIRBGFxR0iIiIS7tSpU/YROH369MH8+fNx/PhxvPTSSzh69ChMJhNWrVqFhx56SHRUoqDIzs5GQ0MDSktLRUchIqIgePjhhyHLMvbv3y86ChFRwNy8eVN0BKKIwuIOERERCeE4Aqdv37549tlncfPmTbz55ptoaGjAzp07sXz5cgwaNEh0VKKgi4+Px5w5c/Cb3/xGdBQiIgqCnj17YtCgQfj8889FRyEiIqIw0Ul0ACIiImo/TCYTKioqUFFRgdraWsTExGD69OkoKytDamoqunXrJjoiUchYtmwZHnvsMezduxdjxowRHYeIiAJs1KhRHLlDRBGPa+4Q+Q+LO0RERBQw3377Lf76179iy5YtqKiowLFjx9CvXz/MnDkTv/rVr5CcnIwuXbqIjkkUkh599FE8+OCD+M1vfsPiDhFROzB69GgUFRWJjkFEFDAXL16ESqUSHYMoYrC4Q0RERH515coVVFVVoaKiApWVlfjmm28wbNgwzJ8/H7NmzcKYMWP4Az2Rh5599lk8//zzyMvLQ+/evUXHISKiABo1ahSOHTsGq9WKmJgY0XGIiPzuxo0boiMQRRSuuUNERERtZrVaUVJSgnnz5qF3797QarU4cOAAfvzjH+Pw4cM4fPgwfvnLX2Ls2LEs7BB5IT09HVFRUfjd734nOgoREQXYqFGjIMsy9u3bJzoKERERhQEWd4iIiMgnX3/9NdatW4epU6dCo9Fg8eLFsNlseO2113DixAns2bMHP/3pTzFs2DDRUYnCVnR0NBYvXoz169fj5s2bouMQEVEA9e7dGwMHDsTf//530VGIiALi2rVrXHOHyI84LRsRERF57PDhw9iyZQs2b96Mv/3tb+jatStSU1PxzjvvYPr06ZxChCgAnn32Wfzf//0fjEYjZs6cKToOEREF0OjRozlyh4gi1uXLl9GxY0fRMYgiBos7RERE1CxZlrF3715s3rwZFRUVOHLkCDQaDSRJgsFgwOTJk3HHHXeIjkkU0YYMGYIpU6Zg/fr1LO4QEUW4hx56CMXFxaJjEBEFxOXLl9G9e3fRMYgiBos7RERE5OTatWv47LPPsHnzZlRWVqKhX52TiAAAIABJREFUoQGDBg3CrFmzUFhYiPHjx/O3rYiC7H/+538wc+ZM1NXVISEhQXQcIiIKkNGjR+Pll1/GuXPnOHUREUWca9euoVMn3o4m8heuuUNEREQ4f/48Nm3ahLS0NMTFxWHatGnYs2cPfvCDH8BkMuHo0aPIy8vDhAkTWNghEmDGjBm45557sG7dOtFRiIgogEaPHg1ZlrF//37RUYiI/OrixYsAgK5duwpOQhQ5WNwhIiJqpywWC4qKivDd734XGo0GixYtwsmTJ/HKK6/g3//+N/bv34+XX34ZDzzwgOioRO1ehw4d8Oyzz2LDhg24cOGC6DhERBQgGo0Gffv2xYEDB0RHISLyqxs3bgAAoqKiBCchihws7hAREbUjx44ds4/Aueuuu7Bs2TJ06tQJ69atw3/+8x98+umneP7553HPPfeIjkpELv7rv/4LV69eRWlpqegoREQUQCNHjsTBgwdFxyAi8qtz584BANdsJfIjTnJIREQU4fbv34+KigpUVFTgwIED6NmzJ7773e/iRz/6EZ588klER0eLjkhEHujduzcWLFiAdevWYenSpaLjEBFRgIwcORK7d+8WHYOIyK9u3rwJALjzzjsFJyGKHCzuEBERRZhvv/0WO3fuxJYtW1BRUYH6+noMGDAAM2fOxOuvv47k5GQuYkkUpv77v/8bEyZMwN///nc89NBDouMQEVEAjBgxAoWFhZBlGSqVSnQcIiK/UEbudOnSRXASosjBOztEREQR4NKlS/jkk09QUVEBo9GI06dPY8SIEXj66acxa9YsjB49mjcHiCLAo48+ioSEBLz99tss7hARRaj7778f58+fx/Hjx3HvvfeKjkNE5BfKmjvdunUTnIQocnDNHSIiojB15swZ/OEPf8CcOXPQp08fzJkzB0eOHMGLL76Iuro6HDx4EKtXr8bDDz/Mwg5RhFCpVFi8eDFKS0tx7do10XGIiCgARowYgQ4dOuDAgQOioxAR+c3FixcBAJ07dxachChysLhDREQUZP/85z/xySef+PRcs9mMtWvXYvLkyYiLi8OSJUtw+fJlvP766/j666+xa9cuvPjii7jvvvv8nJqIQkVGRgasVisqKipERyEiogDo2rUrBg0ahIMHD4qOQkTkNxcuXAAAdO/eXXASosjBadmIiIiC6O2338b3v/99AMCVK1cQFRXV6nMOHjyILVu2YPPmzdi/fz+6d++O1NRUvPvuu0hNTUWPHj0CHZuIQkj//v0xdepUvPPOO5g/f77oOEREFAAjR47EoUOHRMcgIvIbpbjD/78S+Q9H7hAREQXBhQsXkJaWZi/sAEBVVZXbfW/evOk0AmfkyJF46623MHr0aHzwwQewWCwoLy/HggUL+IMxUTu1ePFibNu2DQ0NDaKjEBFRAIwcOZLTshFRRLlw4QK6du3KKcOJ/IjFHSIiogAzmUx48MEH8d5779m3de7cGZs3b7Z/ffXqVXz44Yf4wQ9+gH79+uHRRx9FRUUFZs+ejb/+9a/4+uuv8dvf/hZPPvmkR6N9iCiyabVadO/eHeXl5aKjEBFRANx///3417/+hevXr4uOQkTkF+fPn+eUbER+xuIOERFRABUUFOCRRx5BfX2903/Or1+/jj/+8Y8oKyvDggULoNFoMGPGDOzbtw/PPfccDh48iLq6OvzqV7/C+PHj0aED/8kmotuioqLw1FNPobS0VHQUIiIKgBEjRuD69ev417/+JToKEZFfXLhwAd26dRMdgyii8E4RERFRAJw7dw7z58+HTqfD9evXcePGjSb7WK1WZGRk4PTp0/jFL36B+vp6fP7553jppZcwYsQIAamJKJwsWLAA+/btQ11dnegoRETkZ/fddx86d+6Mw4cPi45CROQX586dY3GHyM9Y3CEiIvKz2tpaJCYmoqKiArIsN7tfly5doNPpUFVVhR/+8IcYMGBAEFMSUbhLSUlB3759OTUbEVEE6ty5MwYNGsQCPhFFDE7LRuR/LO4QERH50VtvvYUxY8bgxIkTrc6Rfu3aNVRWVgYpGRFFmo4dO2LBggWcmo2IKEIlJCRwWjYiihjnz59Hjx49RMcgiigs7hAREfmB1WrFU089hWXLljU7DZs7X331Ff7xj38EOB0RRaq0tDQcOXIE+/btEx2FiIj8bNiwYRy5Q0QR48KFCxy5Q+RnnVw37N27F2PHjhWRhYiIqF1KTEwUHYGIQkyXLl1w9erVVvcbM2YM7r33Xrz33nsYPXp0EJIREVGwDB06FL/97W9FxyAi8osLFy4gPj5edAyiiNKkuPPll18CADZu3Bj0MEREROHq5MmTqKurQ6dOnXD58mXcvHnT/uelS5cAABcvXnT689y5c7BYLEhLS8Ojjz4qLPubb74JAFi2bJmwDOFi/vz5WLZsGR577DHRUSiClZaWoqKiwuP9Z8+ejc2bN+OXv/xlAFMREVGwJSQk4Ny5c2hoaEC/fv1ExyEiahOr1YqRI0eKjkEUUZoUdxTz5s0LZg4iIiISRLmJzH/7PTN27FieKwqo69eve13c+fWvf41//vOf+M53vhPAZEREFEzDhg0DAHzxxRcs7hBR2LNarYiJiREdgyiicM0dIiIiIqIwNn78ePTt2xfvv/++6ChERORHffr0Qc+ePXH48GHRUYiI2uzs2bPo2bOn6BhEEYXFHSIiIiKiMNahQwfMnDkTmzdvFh2FiIj8bNiwYairqxMdg4iozVjcIfI/FneIiIiIiMLcnDlzsH//fhw/flx0FCIi8qOEhAQcOXJEdAwioja5cOECbty4gdjYWNFRiCIKiztERERERGFu4sSJiImJ4egdIqIIM3ToUBZ3iCjsnT17FgC45g6Rn7G4Q0REREQU5jp37gxJkrjuDhFRhBk8eDDq6+tx48YN0VGIiHx25swZAOC0bER+xuIOERER+Y3BYIDBYBAdIyRZLBbk5eWJjkEBlpeXB5vNJqTv2bNnY9euXWhsbBTSPxER+d/gwYNx48YNmM1m0VGIiHzGkTtEgcHiDhEREUUMm80GlUolOkYTFosFK1euhCRJ9m3l5eXQarVQqVTIysqCxWLxqW2j0WhvR6vVory83Kd2zGYzsrKy7Hmqq6vdHofBYIBKpYJKpfK5LxH92Ww21NTUoLCwEFqt1udMQMvnfPLkycjIyPD59WyLadOm4Y477sCWLVuC3jcREQXGoEGDAABHjx4VnISIyHdWqxUAR+4Q+RuLO0REROQ3OTk5yMnJEdb/zp07hfXdHJvNhszMTDzzzDNISEgAABQWFkKj0aCyshKyLCM5ORmZmZkwmUxetZ2XlwetVoucnBzIsoycnBwsWrTI6xFCNpsNJpMJ69evh9VqRXJyMiZNmgSj0Wjfx2Kx4NixY/a+ysrKfOpLRH8AkJubi61bt2Lp0qVO/XiTCWj9nCcmJmLFihXIzMwM+gie6OhoPPnkk5yajYgogvTs2RMxMTE4duyY6ChERD47e/Ysunbtii5duoiOQhRRVLIsy44bSktLkZ6eDpfNREREFKHS09MBACUlJYKTtI3NZkNGRgaMRmPAfo5RqVQoKSlBWlqax8/Jy8uD1Wp1KnqpVCqUlZVh4cKFTtskSUJlZaVXeQA4Ha8v7RiNRqdRRe7arqmpQVJSUqv9h2J/nrThSaaWtrme86ysLAwZMgTLly/3OmNbfh5/99138f3vfx8Wi4XTXhARRYhRo0Zh6tSpePXVV0VHISLyya9//Wu8/vrr+Oqrr0RHIYooHLlDREREfmGxWOxTjbn72mg02qexUuaNt1gs9imugFsjWpQpserq6uxtK9NyOU655rotNzfXPsrCcbvIdYAsFguys7MxceJEp+0FBQUoLS1tsn///v29aj83NxfArUIIAPt59Xb0lGtRQ6HT6ex/dy20KKNS9Hq9V32J6M9fmQDPz/m8efOQnZ0d9OnZlOP405/+FNR+iYgocIYMGYJ///vfomMQEfnsm2++QVxcnOgYRBGnk+gAREREFBkyMzOdprBy/LqmpgaSJKG+vh4DBw5E//79sX79eqcf8GtqarBkyRLMnz8fP/3pTzF06FAcOXIECQkJaGxsbPKfAaUtRU5ODlavXg2gbSM7/GnPnj0Abt2UcbRkyRIsWbLE/rVSyHItJLRm+fLlsFqtGDduHHbv3o3jx4+jsbERGo2mTbmVQsr06dPdft9sNqOwsBAAkJGR0aa+RPTXlkyennPlNd+zZ0+zhaNAUKvVSElJwebNm/H0008HrV8iIgqce++9F9u3bxcdg4jIZxaLBb169RIdgyjicOQOERER+YXrNGCOXyujMOLj4wEA+fn5AJyLMMo+arXaXuRQikPuihVKW60RuQ7Q3r17AbSetbi4GLW1tUhMTPS6j5ycHOh0OowbNw6HDh1CVFSUT1kd7du3D5Ik4fHHH2/yPbPZjIEDB9oLae7Wrwn1/tqayZNzrlarAcBpBFqwzJkzBx999BEuXboU9L6JiMj/Bg0axDV3iCisnT59us2/gEZETbG4Q0RERCFHKXJkZ2cLTtI2SkGiJdXV1Zg7d65PhR3g1po+ycnJsFqtAG6NbFFGnfjqjTfewIoVK+wFCkfx8fGQZRm1tbXQ6/XIzs62j6oJl/7amsmTc648T8Q1PHPmTFy5cgUff/xx0PsmIiL/u/fee3H27Fn7vztEROGmsbERvXv3Fh2DKOKwuENEREQkUHR0tM+FnfLycmRnZyM1NRVqtRoZGRkwGo3YuHGjz3nKy8shSVKTNW9cJSYm2qdIW7p0adj019ZMgTjn/hYXF4fx48dj8+bNoqMQEZEfDB48GAC47g4Rha3Tp0+zuEMUACzuEBERUcjydg2acFNeXt5qUaMlixYtAnB7lIiyLpGvxQ+TyYRDhw45rQfUkoSEBJ/6EdWfJ1rL5O9zHihz5syB0WjE9evXRUchIqI2io+PR8eOHXH06FHRUYiIfPLNN980WUOViNqOxR0iIiIKOco6Ja6L2Yeb3NxcAGh2mrSFCxe2qX1Jkpy+VgoOrts9YbFYUFVV5bQ+kclkQlZWVrPPUY6rrKws5PvzVyZvz7lerw9A0tbNnj0bVqsV1dXVQvonIiL/6dy5M/r164f6+nrRUYiIvHbt2jVYrVb06tVLdBSiiMPiDhEREfmFxWJx+rvj18pNeccih+P3gVujWJR9iouLIUmS0w1zZRSPUvipqamxf0+5+a7sb7FYkJeXBwAwGAwwGAxtPDrfKCNNmivuNJctLy8PKpUKJpOpxfZfeOEFALfPnXJOlO2etmWxWJCZmYns7GyoVCr748EHH7QX2LRaLfLy8mA2m+3HlJubC71e71SkCsX+FI6vg+tr4kkmwLNzDsCee8yYMa3mCoR77rkHo0aN4tRsREQR4u6778aJEydExyAi8trp06cBAH369BGchCjysLhDREREfuE4zD4uLs7p65iYGKc/XfcHgOHDh0Or1SImJgbx8fEoLi52+v7PfvYzSJKEoUOHwmg0IikpCZIkoaysDKtWrQIA+4iLtWvX2tdnEWns2LEAgIaGBq+eZ7VaodPpWi1KpaSkYPv27dixYwdUKhU2bNiA7du3IyUlxau2Vq5cCaPR6PZ7Q4cOBQAsWbIE2dnZGDhwIFQqFYqKijBjxgynUS6h2h8AqFQqp+svJiYGKpXKq0yAZ+ccuP2aK9eACLNnz8aWLVtw8+ZNYRmIiMg/4uPj8dVXX4mOQUTkNeWX+ljcIfI/lSzLsuOG0tJSpKenw2UzERERRaj09HQAQElJiZD+lRvs4fCzh0qlQklJCdLS0jx+jjKCaPny5V73p9VqUVlZ6fXzAt0W+2udwWBATEyMT6+7v34eP3jwIEaOHImamhqhRSYiImq77Oxs/PnPf8aePXtERyEi8kpVVRWmTJmC06dPIzY2VnQcoojCkTtEREREAZSZmYkdO3Y4TSPniZqaGqxYscIvGfzZFvtrnclkgslkQmZmptAc999/PwYPHoytW7cKzUFERG139913c+QOEYWlhoYGREVFsbBDFAABK+6InN/eUxaLBeXl5dBqtfZtgczt2La7vkNBMHM5rofgDq+h9i0vL6/ZNSoCIZRfN34utZyrtc+S9iDY7xd/cl2nJxKp1WoUFRVhzZo1Hq0LAwDV1dWIjY1FUlJSm/v3Z1vsr3V1dXXIz89HUVER1Gq16DiYMWMGiztERBFgwIABaGxsxPXr10VHISLyisViwV133SU6BlFE8ktxx2azOc1ZHi5WrlyJRYsWNTu/uid8PXZ/9O2PHK58zaX07+6hLDjsyGKxYOXKlfaFr3kNhd+xt5XFYoHBYGj2Opk8eTIyMjJ8utnb3LXY3CNYWsqQl5cHo9Holxv07elzyfWzxFFNTY3TNWYwGGAymWCxWIS+58xmM7KysqBSqZCVlYXq6mqn7/tynbTl/SKa6zo9kUqj0aC4uBhVVVUe7Z+SkoKEhAS/9O3Ptthf64xGI1atWgWNRiM6CoBbxZ39+/fDbDaLjkJERG0QHx+Pmzdver2OHxGRaA0NDejbt6/oGESRSXZRUlIiu9ncosrKSq+fEyoAtCl7W469rX37K4crX3Lt3r3b/jzXR2Njo9O+VqtVliRJ3r17d0DyB5vIayhcNTY2Or3+ZWVlMgA5NzfXab/du3fLkiTJVqvVq/YByGVlZU22uZ5npd9gamxstGdxPK7a2lpZkiRZkqQm7xlvtZfPJXefJQq9Xi/rdDr5yJEj9m2NjY32TKLec1arVa6srLT/XbkGlW0KX64TX98vsizLaWlpclpamg9H1P4AkEtKSkTHoAjny8/jzbly5YrcrVs3ed26dX5pj4iIxGhoaJAByDt37hQdhYjIKwsXLpRnz54tOgZRRGrzyB2bzYbCwsK2NhOWQuXYQyHH8ePHUV9fD1mW7Y/Gxkbo9fomv7laVFSExMRE+/QpoZBflPZ67MeOHXOaPmfhwoUAbi0S6igpKQn9+/dHUVGR130obbYkNTXV63bbyvH94DhdT2Jiov04MzMzfR7BEyrXVDByuH6WKJQROuvXr3f6bX6NRgNJkrB79+6A5mrJzp077aOM1Gq1/Tp1nXLOl+ukLe8XIopcUVFRmDx5MqdmIyIKc3FxcejcuTNOnDghOgoRkVcaGxs5cocoQNpc3MnNzbVPlaNMG+O6PoLr10aj0T4djTJFRHl5eZNtCmU9BZVKBa1W22QKG0/ZbDZ7P1qtFnV1dU36cbeug9J3YWGh03Q+zR270WiEVquFzWZDVlYWDAZDi2tGOB6f6/G7mzrKdZu7HJ6eu9bOiadSUlIQHx/vtK26uhpz585tcqzZ2dmYOHGifRuvIfevnS+ZlD482cd1nQt351er1cJsNqOmpqbZqcyUY1OpVB5P+eJ6M165Qa3X65vsO2/ePGRnZzvlbW0Nmvr6eo9yqNVq1NfXh8z1ptFo8MILL8BoNGLnzp1usyja++eSu88S4NZUbKtXr25xYXV363IE6z2SmJjoNpNOp2s2ryt314nC3fuFiGjGjBmorq7G5cuXRUchIiIfdejQAf3792dxh4jCDqdlIwog16E8vkwDAZcpbiRJctrm+HVtba0sy7en8dLpdPYpderr6+3bFI2NjbIkSfYplrZv3+7UjjckSZJ1Op19yhplOhx3ORW5ublyfX29LMu3ptDR6/VO32/p2Hfv3i3X1tbKOp3ObduO+zkeKxymMnOcmkehnKeWcnh67lo7J23h+DoqlCmRlHPaXP72fA35kkmv19u/1ul0Tl8r+xQUFMiyfPt8OE7f5HrdynLTc6mcN9e2ZfnWFFi+nE+lH+WcOE6h5fh9uExbpdfr3eZoSUvnOdjXW0tZrFarU5v8XHL/udTcZ4lyLryd2k7Ue0R5vV2nZZNl764Thbv3iyc4LZvnwGnZKAj8OS2bLMvy119/LatUKvlPf/qT39okIqLgmzBhgvzcc8+JjkFE5BW1Wi0XFhaKjkEUkQJS3HG3zZN93G1ztyZGczfPWqLcCHS8eazcHGspp+tNQuWmpifH4LrugSfn5MiRIzIA+03G1vpoaZ/Wzp2n58QXtbW1TdY8kWW5yU3olvK352vIU8qxObavrLuhUG44u+4DOK9L48m5VF4/x2tbKS74wrEgADRdc0dpv7nveaO18xzM662tWfi55N1nSWtEvke2b9/e7Do53l4nSl++vF9Y3PEcwOIOBZ6/izuyLMujRo2Ss7Ky/NomEREF1/z58+U5c+aIjkFE5LFLly7JgPe/gEhEnlHJsizDQWlpKdLT0+GyuUXK9DOOz3Hd5sk+7rZptVr71D6uvMmYlZWF/Pz8Js9pLafyvLKyMqSmpjqtfeDNcXnSlzf7ebJPa+fO03PiC4PBgOeee67JejueHrO7be3pGvKUcmwtPdddbpvNhpiYGEiShMrKymZzuG4zmUx48MEHUVZWZl8rpLq6Gr169Wp2uilPmEwmvPfee1i9ejUKCgqwZMkSp+/745psrY1gXm9tzcLPJe8+S1oj8j2i1WqxYsUKt1PFeXudePo8d9LT02E2m7Fs2TKPn9NezZ8/H8uWLcNjjz0mOgpFsL/85S9488032/TvnquXX34ZGzZs8HjqUiIiCj0/+tGPsGfPHuzatUt0FCIijxw7dgyDBw/G3/72Nzz88MOi4xBFHtdqT6iN3HG3jy+aa6e1/o4cOeI0HY/rb0N7elye9OXNfr6eX19yequxsbHZ31L3ps/2fA21NZM/cje3TZmuSuHrqB1XyuiQQFyTnrQRzOutpX2UkRctjfTh51Lz++l0OhloOkKpJaLeI2VlZU6joTzNJcvurxNPntectLQ0+/P44IOP0Hn4U01NjQxA/sc//uHXdomIKHheffVVedCgQaJjEBF5bOfOnTIAuaGhQXQUoojUAWHC3YLawZCQkIDKykrU1tZCp9MhOzsbeXl5Ae/Xm8W1WxPsc1ddXY25c+cGtU9PROI1JEkSgFujBVrbx90C675cZ2lpaTAajaipqYHZbMaYMWO8bsOdhIQEv7QTKny93vbt2wcAmDhxYrP78HOpedOnTwcAHD9+3OPniHiPmEwmHDp0qMkoNU95cp14Ky0tDbIs89HKAwBKSkqE5+Ajsh8lJSV+e28rHnnkEWg0GmzdutXvbRMRUXDExcXh5MmTomMQEXnMbDajS5cu6Nu3r+goRBEp5Is7BQUFAIDi4mLYbDYAt27AeXsjU2mnpZvg7qhUKthsNiQmJmL9+vWora1Fdna2V214Q8mXnJzc5rZaO3e+npPW7Nixo9kpunJzcwHAnicYIvkaUm5K5+fn24/NbDYjKyvLvk9aWhqAW0NhFcq+8+bN87rPlJQUAMCGDRuwa9cuPP74476Fd6FkKisrc/t9vV7vl34CrS3Xm8ViwRtvvAFJkuzn2R1+LjX/WSJJEiRJQn5+frPPNZvNTq9HsN8jFosFVVVVyMnJsW8zmUxO79uWeHKdhMv7hYiCp0OHDkhNTWVxh4gojPXr1w+XL18O6v+niYjawmw2Y8CAAfbpw4nIz2QXvkzLpkwP1NjYKOfm5toX91a2OX6tTJXjuo8n2xwf9fX1XmVUFm6XJMn+XGURbQCyTqdz2z9wa9ob5Tn19fVOUyC1dOyO3LWtPHf79u32fSRJajLFkjLNkLLAuLLQt5LbXQ5Pzp0n58RbtbW1TguQu1IWS3d9/XgNOb92nlKuGcfj0ul0TRajV6aJUjKVlZU5vb7uzq/jIvaOC83L8u1F473N63jMubm59nOiLDjvboop5bw7Lr7X3L7Ncfe6tPT9QF5vjufVceqw2traJq9Tc33wc6n5zxLHzK7vBaV913MczPeIu/es8nC8xr29ThyPz7UtT6SlpclpaWlePae9AiCXlJSIjkERzpefxz2xceNGuWPHjvLp06f93jYREQVebW2tDED+17/+JToKEZFHdDqdPHHiRNExiCKWX4o7yg8Yer2+2Rt3jg9Zlj3eJsu3blYpN8p0Op3XN+Ud21FuSCo34iVJksvKytzmVjIpNybd3ahr6dgd11xo7ti2b99uv9Gn0+nsN1Rdcyv7KDfsHHO7y+HpuWvtnHjLtX9XyjnavXu303ZeQ01fO08paxwpbbjezFb2KSgosOcqKytzumHszbl0zOyuL08oN+aVR25ubpNrQqEUDRzPjTfFnZauodb28ff11lIfzZ0Dfi65/1xq7rNEYbVa5crKSns7yrEXFBQ0WxAKxnvEMY/rQ9nXl+tE4e794gkWdzwHsLhDgReo4o7VapU7d+7Ma5iIKEwpPwN/+umnoqMQEXlk+vTp8jPPPCM6BlHEUsmyLMNBaWkp0tPT4bKZyG+U6ZCWL18uOAmFA4PBgJiYGF4v1AQ/S5ry9f2Snp4OAAFZ5yPSqFQqlJSU2KfzIwqEQP48npKSgrvuuovvdyKiMHTz5k1ERUXh3XffxYIFC0THISJq1ciRIzF79mz8/Oc/Fx2FKCKF/Jo7FHkyMzOxY8cO1NTUiI5CIc5kMsFkMiEzM1N0FApB/CxxxvcLEXlixowZ+Oijj/Dtt9+KjkJERF7q0KED+vTpg5MnT4qOQkTkEbPZjPj4eNExiCIWizsUdGq1GkVFRVizZk2ri6ZT+1VXV4f8/HwUFRVBrVaLjkMhiJ8lt/H9QkSemjFjBs6cOYPdu3eLjkJERD7o168fiztEFBasVivOnTvH4g5RAIV1cUelUnn0IN8F6hxrNBoUFxejqqoqAKk9F4rXUChm8pQ/sxuNRqxatQoajSbAqSmchcpniWh8v4QHi8Vin06QIldeXh5sNpvoGM0aNmwYBg8ejK1bt4qOQkREPujbty8sFovoGERErTKbzQDA4g5RAIV1cUeWZY8e5LtAnmO1Wi18rYxQvIZCMZOn/Jl9+fLlvFFNHgmFzxLRwv39YrPZAlq0DnT7nrBYLFi5ciUkSbK5iTKlAAAgAElEQVRvKy8vh1arhUqlQlZWls83aoxGo70drVaL8vJyn9qx2WyoqalBYWEhtFqt233MZjOysrLsmaurq33qS0R/nrZlMpmcfiEhKyur2TZNJpM9v3KNTZ48GRkZGSF9423GjBks7hARhSmNRsORO0QUFljcIQq8sC7uEBERUfjbuXNnWLffGpvNhszMTDzzzDNISEgAABQWFkKj0aCyshKyLCM5ORmZmZleTzGYl5cHrVaLnJwcyLKMnJwcLFq0yKcRQrm5udi6dSuWLl0Ko9Ho9jhMJhPWr18Pq9WK5ORkTJo0ye2+odafN23t3bvX6evp06e7bTMvLw8GgwF9+/bFW2+9Zf/lhcTERKxYsQKZmZkhO4JnxowZOHDggP0/3EREFD569eqFM2fOiI5BRNQqs9mM3r17Izo6WnQUoojF4g4REREJY7PZUFhYGLbte6KoqAiJiYlISkqyb1u6dKnTyI6FCxfCaDTCYDB41XZ2djaAWwUFxz937Njhdc6cnBzk5OQ0+/2dO3faRx6p1WosXLgQAJoddRNK/XnTVt++fZ1GmzqOtlJkZWXBarWiuLgYkiQ1+W3EpKQk9O/fH0VFRV5nDYaJEydCrVZz9A4RURjq06cPTp8+LToGEVGrzGYzR+0QBRiLO0REROQTm82G8vJy+/RVhYWFTgULd2ttuW7Lzc21j55QtlssFvtUY8CtUS7K9Fh1dXVtbh8ADAaD14UUX1gsFmRnZ2PixIlO2wsKClBaWtpk//79+3vVfm5uLgCgpqYGwO2pD1oqmvjKXZEDAHQ6nd/78nd/nrZlNpuh1WphMBjs59SVct3k5ORArVY32+e8efOQnZ0dktOzde7cGSkpKfjggw9ERyEiIi/16tUL33zzjegYREStYnGHKPBY3CEiIiKfZGRk4Pz585BlGY2NjTAajU5TUTU2NjZ5Tn19vdPXjkUIZaREXFwctFotjEYjampqsGTJElitVgDA0KFD7QUeX9sPpj179gAAhgwZ4rR9yZIlqKystH+tHJO3hYvly5dDr9dj3LhxqKmpwa5du9DY2GgfwRNIyuvc3LRlodxfc20p0+KtXr0a48aNg1ardSrOmEwmrF69GtOnT7cXHbVardv1e5TXXLkGQs3UqVPx2Wef4fr166KjEBGRF3r16oXz58/j2rVroqMQEbWIxR2iwGNxh4iIiLxWXV0No9GImTNnAri1uO+KFStgNBrx4Ycf2re58uSHe8cCjDKVmVqtthc+lJE4vrYPtD4lmL8o67e0lqu4uBi1tbU+FWVycnKg0+kwbtw4HDp0CFFRUT5l9da+ffsgSRIef/zxsOuvubYkSYLVakVtbS30ej2MRiO2bNli/35VVRWAW6+nUnTs378/Jk2a1GSkjzKqx3G0WSiZOnUqLly4gF27domOQkREXujduzcAcGo2Igp5LO4QBR6LO0REROS1TZs2AXAusAwfPhwA3E435g9K4UNZZyYcrF69utV9qqurMXfuXJ9H2+Tl5SE5Odk+uikjI8M+MiWQ3njjDaxYsaLFqclCtb+W2lKr1UhMTEROTg4KCgrsxUSg6RpHjkXHDRs2NGnH8TmhZtCgQRgyZAi2bdsmOgoREXlBKe5wajYiCmU3btxAQ0MDBg4cKDoKUURjcYeIiIi8lp+f32SbcjPb8WY4tS46Otrnwk55eTmys7ORmpoKtVqNjIwMGI1GbNy40c8pm/YrSZJ9ZFWg+bM/b9qaP39+q9ez8tq5e0+EuilTprC4Q0QUZnr16gUAOHXqlOAkRETN+/rrr/Htt99y5A5RgLG4Q0RERF5TFqh3t1i8LwveeyPQ7QdTeXl5mwoWixYtAnC7sBYXFwcAWLp0advDNcNkMuHQoUNYsmRJwPoIVH/etuU4Mge4fe25GxmlvCfCybRp07B//35O7UNEFEZiY2OhUqlw5swZ0VGIiJplNpsBeD5tNhH5hsUdIiIi8lpaWhoA4NixY/Ztyg3vefPmBaRPZe2S6dOnB6T9QMjNzQXgvhgAAAsXLmxT+64FBaXIE6hCg8ViQVVVldN6RSaTCVlZWSHfny9t2Ww2p+tZ+fvx48ed9gFuvydc6fV6r7MGyxNPPIGOHTvik08+ER2FiIg81LFjR/Tq1Ysjd4gopJnNZkRFRdl/+YyIAoPFHSIiIvJaamoqJEnCmjVr7KN3PvzwQ+h0OqSkpNj3U0Y6KIUZx0XnlZvqjqOA8vLynPopLy8HcOsGenFxMSRJcipc+Nq+wWCAwWDw/QR4KCEhwZ7fneZy5OXlQaVSwWQytdj+Cy+8AOD2eVKOX9nuTVuuOV0zWywWZGZmIjs7GyqVyv548MEHnQpuodifJ22Vl5ejurra/hyz2YydO3c6Xc8pKSnQ6/UwGAz2637jxo2QJKlJoU75bcUxY8a0eh5EUavVGDt2LIs7RERhJjY2lmvuEFFIO3r0KO655x6oVCrRUYgiGos7RERE5DW1Wo2ioiJIkoS4uDj7D+2vvvqq034/+9nPIEkShg4dCqPRiKSkJEiShLKyMqxatQoA7CMp1q5di4yMDKfnDx8+HFqtFjExMYiPj0dxcbFf2w+0sWPHAgAaGhq8ep7VaoVOp2u1AJWSkoLt27djx44dUKlU2LBhA7Zv3+5UkPC0LZVKhZiYGPvXMTExTv8ZW7lyZbPrzwwdOjSk+/Okra5du2LSpElQqVQwGAw4e/as2xFQOTk5Ta571+sSuP2aK9dAqJo2bRrX3SEiCjOxsbE4e/as6BhERM2qq6vDfffdJzoGUcRTybIsO24oLS1Feno6XDYTERFRhEpPTwcAlJSUCE5ym3LTPNR+HlGpVCgpKWl2Ci53lNFCy5cv97o/rVaLyspKr58X6LbYX+sMBgNiYmJ8et2D+fP4nj17kJSUhIMHD2LEiBEB74+IiNruySefRP/+/fG73/1OdBQiIrfGjx+PsWPH4vXXXxcdhSiiceQOERERUQBlZmZix44dTlPGeaKmpgYrVqzwSwZ/tsX+WmcymWAymZCZmSk6SqsefvhhxMbGcmo2IqIwEhMTA6vVKjoGEVGzjhw5wpE7REHA4g4RERGFFGUtE9e/hytlCrs1a9Z4tA4NAFRXVyM2NhZJSUlt7t+fbbG/1tXV1SE/Px9FRUVQq9Wi47SqY8eOmDRpEqdmIyIKIzExMc2u50dEJNrZs2dx5swZDBkyRHQUoojXSXQAIiIiIkdxcXFOfw+1qdl8odFoUFxcjKKiIiQmJra6v+OaOW3lz7bYX+uMRiNWrVoFjUYjOorHpkyZghdeeAFXr15FVFSU6DhERNQKtVrNkTtEFLK++OILAODIHaIg4MgdIiIiCimyLDs9IoVarfZp/RUKL8uXLw+rwg4ATJs2DZcuXcJf/vIX0VGIiMgDHLlDRKHsiy++QJcuXRAfHy86ClHEY3GHiIiIiKgdi4+Px9ChQ7nuDhFRmODIHSIKZUePHsWgQYPQsWNH0VGIIh6LO0RERERE7dzUqVPx8ccfi45BREQeiImJYXGHiEJWXV0d19shChIWd4iIiIiI2rmpU6fCZDLBYrGIjkJERK2IiYnBjRs3cPHiRdFRiIiaOHr0KNfbIQoSFneIiIiIiNq5J554Ap07d+bUbEREYUCtVgMAR+8QUUjiyB2i4OnU3Dfmz58fzBxEREQkyJ49ewDw335Pvfnmm6ioqBAdgyLYpk2bgt5nt27dMG7cOGzbtg3p6elB75+IiDwXExMDALDZbOjfv7/gNEREt505cwZnzpzhyB2iIGlS3ElJScHChQvx7bffishDRERtcPz4cZw4cQKPPfaY6CgURsaOHSs6QtiYN2+e6AjUDsybN0/IbztOmzYNa9euhSzLUKlUQe+fiIg80717dwDAuXPnBCchInL25ZdfAgBH7hAFSZPiTt++fVFWViYiCxERtdGrr76KwsJCbNy4UXQUIiIKM1OnTsWKFStw8OBBjBw5UnQcIiJqRrdu3QCAa+4QUcj54osv0KVLF8THx4uOQtQucM0dIqIIcv78eXTt2lV0DCIiCkMPPfQQevfujY8//lh0FCIiaoHy8/6lS5cEJyEicvbll19i8ODB6Nixo+goRO0CiztERBHk2rVriI6OFh2DiIj+P3v3H93Ufd9//CUwhkDALgRDS+KEhEGAEDukAZOEGAxbDnRSt3NCFuB4Od0Ms7e1axp3O+VI5eSYb7I/7DVn7RkMs7aMGfskPWerva7n7IBTKAOTNI21BNqkKSeIOsFKIFIgEAzkfv9g90ayJVuSLX304/k4xwfr6urzeVsS0ue+3/fzuTlo3LhxWrt2rbq7u02HAgAYxsSJEzV+/HhduHDBdCgAEOU3v/mN7rrrLtNhAAWD4g4A5JGPP/5YxcXFpsMAAOSoVatW6ciRI7p69arpUAAAw7j55pt18eJF02EAQJS3335b8+fPNx0GUDAo7gBAHrl06ZKmTZtmOgwAQI5avXq1Lly4oFdeecV0KACAYUydOpVl2QBknTfffFPz5s0zHQZQMCjuAEAeGRgY0MSJE02HAQDIUfPnz9ett96qn/3sZ6ZDAQAMY/Lkyfr4449NhwEAjnfffVehUEiLFi0yHQpQMCjuAEAe+eijjzRp0iTTYQAActiqVau47g4AZLkpU6awLBuArHLixAlJ0uLFiw1HAhQOijsAkEeuXLnCsmwAgFFZvXq1jh49qitXrpgOBQAQx5QpU3ThwgXTYQCA4+TJkyorK9Mtt9xiOhSgYFDcAYA88sknn6i4uNh0GACAHFZTU6PLly/r+PHjpkMBAMQxbdo0rrkDIKucPHmSWTtAhlHcAYA88tFHH2ny5MmmwwAA5LA77rhDd9xxB0uzAUAWmzx5MsUdAFnl5MmTXG8HyDCKOwCQRwYGBjRlyhTTYQAAclxNTY1eeukl02EAAOIoLi7mmjsAssobb7zBzB0gwyjuAEAeuXTpEsuyAQBGbfXq1Tp+/LguX75sOhQAQAw333yzrl27ZjoMAJAkvfvuuwqFQszcATKM4g4A5JGPP/5YU6dONR0GACDHrVq1SleuXNGRI0dMhwIAiGH8+PH6+OOPTYcBAJKkEydOSBIzd4AMo7gDAHlkYGBAkyZNMh0GACDH3XrrrVqwYIF+9rOfmQ4FABDD1KlTdfXqVdNhAICkG9fbKSsr0y233GI6FKCgUNwBgDxy4cIFTZw40XQYAIA8sGrVKq67AwBZaty4cbp06ZLpMABA0o3iDrN2gMyjuAMAeeKTTz6RJJWUlBiOBACQD1atWqVXXnlFFy5cMB0KAGCQadOmaWBgwHQYACDpRnGH6+0AmUdxBwDyxJUrVyRJxcXFhiMBAOSDmpoaXb9+nevuAEAWcrlcunz5sukwAECS9MYbbzBzBzCA4g4A5IlwOCxJuummmwxHAgDIB2VlZVq0aBFLswFAFiopKXFO7gIAk959912FQiFm7gAGUNwBgDxhL8tw8803G44EAJAvVq9ere7ubtNhAAAGcblczrLMAGDSiRMnJImZO4ABFHcAIE/YyzKwLBsAYKzU1NSot7dXoVDIdCgAgAjTpk2juAMgK5w8eVJlZWW65ZZbTIcCFByKOwCQJy5evCiJmTsAgLHzyCOPyLIsHTp0yHQoAIBBWJYNQDY4ceKE7rnnHtNhAAWJ4g4A5Al7WTauuQMAGCszZsxQRUUF190BAABATL29vbr33ntNhwEUJIo7AJAn7Jk7LMsGABhLq1evprgDAFmmpKTEdAgAoGvXrumNN95QZWWl6VCAgkRxBwDyhH3NHQ70AABjadWqVXr99df1wQcfmA4FADDItWvXTIcAoIC9+eabunz5MsUdwBCKOwCQJwYGBjRx4kTTYQAA8kx1dbXGjRunw4cPmw4FADDIxx9/bDoEAAWst7dXxcXFWrRokelQgIJEcQcA8kQ4HNakSZNMhwEAyDPTpk3Tvffeq5///OemQwEAAEAW6e3t1eLFizVhwgTToQAFieIOAOSJK1euaOrUqabDAADkoZUrV+rIkSOmwwAAAEAW6e3tZUk2wCCKOwCQJz755BMVFxebDgMAkIdWrlyp1157TRcuXDAdCgAAALIExR3ALIo7AJAnLly4oClTppgOAwCQh1auXKnr16/r2LFjpkMBAOjGkpkAYFJfX58++OADVVRUmA4FKFgUdwAgTwwMDGjy5MmmwwAA5KFZs2Zp/vz5XHcHALKEy+WSJF2/ft1wJAAK1WuvvSaXy8XMHcAgijsAkCc+/vhjlmUDAKTNww8/THEHALLMxYsXTYcAoED19vZq7ty5KikpMR0KULAo7gBAnrh06RLLMwAA0uaRRx7Ryy+/rIGBAdOhAAAAwDCutwOYR3EHAPLEwMCAJk2aZDoMAECeevjhh3X58mW98sorpkMBAACAYX6/n+vtAIYVmQ4AADA2PvroI6ZDAwDS5q677tIXvvAFHTlyRA899JDpcAAAAJAh//qv/6oPPvhAy5Yt03333adPP/1Uv/3tb5m5AxhGcQcActBLL72kmpoa3Xzzzbr55ps1fvx4Xb16VUVFRVq1apUmTZqkyZMnq7i4WP/2b/+moiI+7gEAo7dy5Ur9/Oc/19/93d+ZDgUAChrLMQPIpCeffNL5fdy4cbrtttskSSdPntRtt92me+65RxMmTDAVHlCwXJZlWaaDAAAk55e//KXuv//+hPZ97733NHv27DRHBAAoBN/73vfk8/l07tw5jRvHCs8AYMrrr7+ue++9V6dOndLcuXNNhwMgzz366KP67//+76ht9kmk165dU3FxsW6++Wb96Ec/0urVq02ECBQkjsgAIAfdd999IxZsioqKVFNTQ2EHADBmVq5cqVAopDfeeMN0KAAASRcvXjQdAoACMG/evCEzc65du6Zr165JunEN4PPnz6uvr89EeEDBorgDADnI5XJpw4YNKi4ujrvP9evXVV9fn8GoAAD5bsmSJSotLdXhw4dNhwIAAIAMmTt3rlwuV9z7i4qKVFVVpc2bN2cwKgAUdwAgR3k8Hg0MDMS9v6SkRF/+8pczGBEAIN+NGzdODz30kI4cOWI6FAAAAGTIXXfdpatXr8a9/9NPP9XOnTuHLQABGHsUdwAgR1VXV2vKlCkx7ysuLtaf//mfDzuzBwCAVDz88MP6+c9/bjoMAAAAZMjcuXMV77LtEyZM0F/91V+psrIyw1EBoLgDADlqwoQJcrvdzkUMIw0MDKiurs5AVACAfLdy5Uq9++67OnXqlOlQAKBgTZ061XQIAArI3LlzY253uVyaNm2aduzYkeGIAEgUdwAgp/3xH/+xrl+/HrVt3LhxWr58ue6++25DUQEA8tkDDzygSZMmMXsHAAyKdwY9AKRDSUmJpk2bFvO+559/Pu59ANKL4g4A5LBHH3005sydhoYGA9EAAApBcXGxli9fTnEHAAy6ePGi6RAAFJjBs3eKioq0YsUKbd682VBEACjuAEAOKykp0cqVKzVu3Gcf5zfddJM2bNhgMCoAQL5buXIlxR0AAIACMn/+/Kjcw6effqp//ud/lsvlMhgVUNgo7gBAjnvsscecwdSECRNUW1uryZMnG44KAJDPHn74Yb311lvq7+83HQoAFLSbbrrJdAgACsRdd92lCRMmSLoxa+epp57SPffcYzgqoLBR3AGAHOfxePTpp59Kkq5evaotW7YYjggAkO8efPBBjR8/XkeOHDEdCgAUpE8++UTSjaUyASAT5s6dq+vXr8vlcmn69On69re/bTokoOBR3AGAHDdnzhzde++9kqQlS5Zo6dKlhiMCAOS7qVOnqrKykqXZAMCQK1eumA4BQIG58847de3aNVmWpeeff17Tpk0zHRJQ8IZehRv4P2fOnFFPT4/pMAAkoLy8XH6/X8uWLdOLL75oOhwAcYwfP14ej0dFRQzBkPseeughHTt2zHQYAIAcdezYMf3ud78zHQaABNnL8U6aNElFRUXkHoAMq6qq0m233Ra1zWVZlmUoHmS5P/uzP9MPfvAD02EAAJBX/v3f/11/9Ed/ZDoMYNQ6Ojr05JNPKhwOa9KkSabDAYCCcuTIEa1cuVIffvihSktLTYeTEi7CDgBA4r7yla/o+9//ftQ2ThtFXFeuXNGmTZvU1tZmOhQAKdi/f782b94savgj27x5syTxeYe0c7lcunTpkukwgDFRVVWlgYEB/eIXv9DDDz9sOhwAKCgXLlyQlPsFkra2Nm3atMl0GABSwHF04lwuF593GJXNmzfHXJKVa+4AAAAASNodd9yh2bNn6+jRo6ZDAYCC8+mnn5oOAQAAGEZxBwAAAEBKHnzwQa7RCAAGcR0/AAAKF8UdAAAAACl56KGHdOzYMdNhAEDBuX79uiRpypQphiMBAACmUNwBAAAAkJKqqiqdPXtW77zzjulQAKCgXLx40XQIAADAMIo7AAAAAFKydOlSFRcX63/+539MhwIAAAAABYXiDgAAAICUTJo0SZWVlSzNBgAG3HTTTaZDAAAABlHcAQCMyOfzyefzmQ4jawWDQbW0tJgOA2nW0tKicDhsOgwg6zz00EPq6ekxHQYAFJTLly+ruLjYdBgAMCbIOcRHviH3pTOXQHEHAJD1wuGwXC6X6TBiCgaD2r59u9xut7Oto6NDHo9HLpdLDQ0NCgaDKbXd1dXltOPxeNTR0ZFSO+FwWD09PWptbZXH44m5TyAQUENDgxNzd3d3Sn2Z6C/Rtvx+v1wul/PT0NAQt02/3+/Eb7/31q5dq9ra2pRfTyBfPfjgg/L7/bp06ZLpUACgYAwMDJgOAQDyRrbmHHIh3xAMBtXa2uocZ8dqJ5EcQTb35/P5hu1vpJxEOnMJFHcAACNqampSU1OTsf4PHz5srO/hhMNh1dXV6cknn9T8+fMlSa2trSorK1NnZ6csy1J1dbXq6urk9/uTarulpUUej0dNTU2yLEtNTU3auHFjSmfsNDc36yc/+Ym2bt2qrq6umH+H3+/Xzp07FQqFVF1drTVr1sTcN9v6S6atl19+Oer2+vXrY7bZ0tIin8+n2bNn63vf+54sy5IkVVRUaNu2baqrq2MGDxChqqpK165d0yuvvGI6FAAAAOQgcg5D5UK+wY5RkizLUn9/v/bv3z9kFtZIOYJs7S8YDOrUqVPO89Te3j7keUokJ5HWXIIFxLFp0yZr06ZNpsMAkKK2tjYrHz7mQ6GQ5Xa70/q3pPp519zcbHm93qhtkqz29vYh29xud1JtSxryN6fSzkhtWpZldXZ2JrxvtvWXTFux9h2svr7e8nq9VigUGnaf5ubm5AKNiK2trS2lxwLZ7NZbb7X+3//7f6bDAICC8U//9E9WeXm56TBGhXERkNvyJW+YiZxDKp93uZBvaG9vtyRFHT/39vZakqyDBw8m1G8293fs2LER20wmJzGaXEK8/2/M3AEADCsYDDrTfmPd7urqcqbxBgIBZx97iq8kZ8psQ0OD3nrrLaftyCWy4m1rbm52zniI3G56Td5gMKjGxkatXr06avvu3bu1f//+IfvPmTMnqfabm5slybmOhf3cpuNspsgp3pHq6+vHvK+x7i/RtgKBgDwej3w+X9xrg9jvp6amJpWUlMTtc8OGDWpsbGR5NiBCVVUV190BgAz66KOPTIcAAGOCnMNQuZJvsGOJPH6+4447JEkvvvhiUm1lY39VVVVRt+1ZN16v19mWTH4jHbkEijsAgGHV1dVp48aNzmAn8nZPT4/cbrdOnz6trq4uPffcc5KkWbNmyePxOPts2bJFoVBIkrRgwQJnsNXf3z+kv9OnT0fdjhxcWJblLJFl2vHjxyVJ8+bNi9q+ZcsWdXZ2OrftvzXZwsXTTz8tr9erFStWqKenR0ePHlV/f78qKipGGfnI7AFLvGXLsrm/eG3Z09R37NihFStWyOPxRA2o/H6/duzYofXr1zsHBh6PJ+b1e+zX3H4PAJAefvhhijsAkEGWZWncOFI6AHIfOYehciXfEGvJM7vwsmvXrqTaysb+IgUCAacoVltbG3e/4fIb6cglMBIAAAwrcuAw+LZ9FkN5ebmkz75MIwdD9j4lJSXOgMP+Qi4rKxvSn93WSEyvyWtfv2WkePft26fe3t6UijJNTU2qr6/XihUrdOLECU2cODGlWJP16quvyu1265FHHsm5/uK15Xa7FQqF1NvbK6/Xq66uLv34xz927j9w4ICkG6+nfWAwZ84crVmzZkjC2h48Rp4RBhS6FStW6P3339fbb79tOhQAKAiXLl3S1KlTTYcBAKNGzmGoXMk32M93po6NM92fLRAI6Pbbb9eOHTskxS4y2YbLb6Qjl0BxBwCQMfaAo7Gx0XAko2d/qQ+nu7tbjz32WMqzbVpaWlRdXe2cgVRbWzv2F9+L4fnnn9e2bduGXZosW/sbrq2SkhJVVFSoqalJu3fvjhqQ2e9J+7WKPDDYu3fvkHYiHwNAqqys1KRJk3T06FHToQBAQfjkk0900003mQ4DALJKvuQcciXf8OSTT0qSvvOd7ziPtVfNsGe5jKVM92crLy+XZVnOyaKNjY1qbW2Nue9IOQlpbN+fFHcAAEiTyZMnpzzQ6ujoUGNjo9atW6eSkhLV1taqq6tLL7zwwhhHObRft9s9ZG3ZXOgvmbYef/zxYc+2kT47MEj39G4gHxQXF2vp0qUUdwAgQy5evKhJkyaZDgMAYEg25Buqqqp08OBB9fX1qbS0VK2trTp37pwkae3atSnFlk39DVZRUeEsybZ169Yh92c6nyJR3AEAGJDserC5qKOjY1Rf6Bs3bpT02Zkds2bNkhR7ADFW/H6/Tpw4oS1btqStj3T1l2xbkTNzpM/ek7HOVIp3gUQA0R588EGuuwMAGcKybAAQX77nHLIp31BTU6POzk5ZlqUtW7botddek9frTdv1gjPd32Dz58+PuT3T+RQbxR0AQMbY64rGurBcrrGn/Mabtm66x8IAACAASURBVPzEE0+Mqv3BBQV70JWuQkMwGNSBAwei1hT2+/1qaGjI+v5SaSscDmvDhg3Obfv3d955J2ofSdq0aVPMNrxeb9KxAvnswQcf1BtvvKGLFy+aDgUA8t6VK1dYlg0ABsmXnEOu5hs6Ojp06NChjC2Ll+n+pM9ek/b2dmdbsjmJscwlUNwBAAwrGAxG/R552/5SixxwRN4v3fiytffZt2+f3G531IBh8AXxIs/6tr8I7f2DwaBaWlokST6fTz6fb5R/XersszXiDbbixdfS0iKXy+WsCxvP17/+dUmfPX/282JvT6atwXEOjjkYDKqurk6NjY1yuVzOT2VlZdSgOBv7S6Stjo4OdXd3O48JBAI6fPiwampqnG01NTXyer3y+XzOe/iFF16Q2+0eMnAOBAKSpGXLlo34PACFZMWKFbp+/bpzAVgAQPpcuHAhpYtfA0C2IecwVC7lG8LhsFPI6OvrU2dnZ8zrzQyXI8jW/jwej1paWpwcQDgcVnNzs7xer5MnSDS/IaUnl0BxBwAwLHt6rv175O3S0tKofwfvL0kLFy6Ux+NRaWmpysvLtW/fvqj7v/Wtb8ntdmvBggXq6upSVVWV3G632tvb9cwzz0iSc/bDd7/7XWd9U9OWL18uSXr33XeTelwoFFJ9ff2Ig8SamhodPHhQhw4dksvl0t69e3Xw4MGogkSibblcrqjXqLS0VC6Xy7m9ffv2uNefWbBgQVb3l0hbU6ZM0Zo1a+RyueTz+fThhx/GPCOpqalJbrdbs2bNcuId/H6VPnvN7fcAgBtmz56tO+64Q0eOHDEdCgDkvcuXL2vatGmmwwCAUSPnMFSu5BvsY/+XX35Z9fX1evrpp4fdzzY4R5Ct/W3ZskWNjY26/fbb5XK5tGfPHn3pS1+KmqGTaH5DSk8uwWVZljVmrSGvbN68WZLU1tZmOBIAqdi/f782b94sUx/z9hdnLnzNpPp5Z5/RE29AMRyPx6POzs6kH5futuhvZD6fT6WlpSm97i6XS21tbXGXegNy3RNPPKFLly5l1f9ZAMhHDz30kJYvX65/+Id/MB1KyhgXAbnNdN4wl3IOqXzekW/Iv/5Gk0uI9/+NmTsAAKSorq5Ohw4dSvoC4j09Pdq2bduYxDCWbdHfyPx+v/x+v+rq6kyHAmSlZcuWsSwbAGTAhQsXNGnSJNNhAADShHxDfvWXrlwCxR1AN9ZH7OjokMfjMR0KkBcGr5mbr0pKSrRnzx49++yzCV2HRpK6u7s1ffp0VVVVjbr/sWyL/kb21ltvadeuXdqzZ0/MNX0B3Cju9Pf36/Tp06ZDAYC8xrJsuYN8AzD2CiHnQL4hf/pLZy6B4g6gG+sjbty4Me4aibGEw+Eh6zWmWzAYlM/ncy7OZV/4bDR6enqi2vT5fPL7/QoGgxn/+2yRFyCL/BlOT0+PGhoa5HK51NDQoO7u7iGvUbx2E/0Z7myJnp6emPEGAoEhcSXyt7pcLrW0tKirqyvuBfSy2eA1c/NZWVmZ9u3bpwMHDiS0f01NjXNxxNEay7bob2RdXV165plnVFZWZjoUIGstXbpURUVFeuWVV0yHAgB57cqVK8zcyRG5km+Qbox3PR6PPB5PUvHGQ76BfEO6FErOgXxDfvSXzlwCxR1A0s6dO5N+zOHDh9MQSXzBYFCnTp1SU1OTLMtSe3u7Nm7c6KzBmQqfz6e9e/eqtrZWlmXJsix99atfVSAQMPrlaFmW+vv7nduhUGjYNVR7enq0YsUKVVdXy7Is7dy5UzNmzIh5Ebz29nbnb41sM3Jbe3u7sy3yzOO9e/fGjSHyvv7+flmWpXA4LL/fr507dyoUCqm6ulpr1qyJGiTH+1sty9LatWvV2tqq2tranDsTJfL5zIX1b0erpKQkpTVTkVuefvppCjvACCZPnqzFixezNBsApNlHH32kiRMnmg4DCciFfIMkdXR0qLW1Vfv27dO+ffv0X//1X2ptbU25PfIN5BvSqZByDuQbcl86cwkUd4AUhMPhUQ1yUnHq1KmoqYJPPPGEJKmxsTGl9uwzZnbu3BlVqS4rK5Pb7daxY8dGF/AoRX7ojTRl0R7o2M+JJFVUVKipqWnIvpH7xLNu3Trn9/LycklSc3Ozdu3apUAgMGT/QCCgefPmDYn98OHDcrvdzt9g9z14On68v7WiokJ79uyRdGOt1Vw9owYAUFgeeOABZu4AQJpdvnyZZWLzlIl8QyAQ0MaNG7Vt2zaVlJSopKRE9fX12rp1a8LLQUUi3xAf+QYAY4niDsZcOBxWR0eHM9Uz1qAk1j6D18uMXJO2q6tLLpdLHo9HgUAg7pRUSWppaXG2xfpiTIbdlh2f3U9zc7NzNoTdV7yYGxoanDjsvzlyW6IGrwFpf/F6vd6o7T6fTz6fb9i2enp6tGPHjmEvGhZrzclsfd36+vokacigs6KiIup2ouv/l5SUDNl37dq1kqSjR48O2f/o0aPO/ZHsgdZg9fX1CcUh3RiIff3rX1dXV5eRs7cAAEjW8uXL9Ytf/ELXr183HQoA5CXLsjQwMFCQM3fIN6Qn32Af537hC19wtn3+85+XpKjZuOQbPkO+AUBWsIA4Nm3aZG3atCnpx7ndbsvr9Tq36+vro27b++zevduyLMvq7++33G635Xa7rVAo5NwvyZJkHTt2zLIsyzp9+rQlyaqvr7csy7IOHjxoSRrStmVZltfrtXp7e5OK2+7P1tzcbJ0+fdqyLMsKhUKW1+uNun/w/pEx230fO3bMiTne35GK06dPO/G8+eabUfd5vd6Yz8ngfSRZ/f39SfWb6ddt8HMcT29vr7Pv7t27nXgSkUgf9v319fUx97X/tpHaCoVCliSrs7MzqTjsxyX7nmlra0vo+UPqn3dAsiRZbW1tpsMA0sr+Xn7jjTdMhwIAeck+PvjP//xP06GMSirjIvIN6ck3xDvWlWS53W7nNvkG8g2ROI5OHMeBGK14/9/I+iGuVD6k29vbh3yJHzt2LGowYH/ZDt5HktXe3u5si/XlM3ibPWiI/HK1B0bJGtz24Bj7+/uHHWyNdlui7MGL/dPc3Jx0G6n0b+J1SybON9980xkM2TElMuhKZrBlPwf2QNKybgz0Dh48mFBbBw8ejBqcJhNHKq8ZxZ3EMShFpjCoRyG4evWqNXnyZOv73/++6VAAIC+dPXvWkmT9/Oc/Nx3KqCQ7LiLfkL58Q7zHjGVbwyHfkHv5BsviODoZHAditOL9fysSMIb2798vKXpNz6qqKnV2djq3X3zxxSH7LFy40Hl8ImuU2h577DHt2LFDP/3pT53Hvfrqq3rsscdS/yP+T319vWbNmqX29natW7dOZWVlWXGRtvLyclmWJb/frx/96EdqbGzUtGnTtGXLlrT2m+2v2/z587Vz5049+eST2rt3rzZu3ChJ6uzsjDtdOVk1NTWSbqy5a08j/9GPfhRzrd1Ynn/+eWcN40x6/PHHM9pfLjp+/LgknisAGAtFRUVaunSpXn75ZX3lK18xHQ4A5J0rV65IUsEty0a+IX9l++tGviG+I0eOcBydoH/8x3/Uf/zHf5gOAznq+PHjevjhh4ds55o7GFP2urDD2bVr15Bt9pdPIo+PVFFRIbfb7QzyJOmll14asvZpKp566im53W5t3LhRpaWlamlpGXWbY6miokK1tbWSpK1btyb1WHsN1mQumJcrr1tVVZV27typY8eOye12y+PxJB3fcNrb250LHQaDQS1evDihx3V0dMjtdsdcW3gk8a6vBABAtlq2bJleeeUV02EAQF6yjw8mTZpkOJLMIt+QPsMVKJK5hkvk/uQbkke+AUDSMj2FCLkjlemV9hqow60/a+8zeP1VDVrjUwlOL7anZh87dsw6ffp0zPVFExGrbcu6MQ3Wnn4buQRaovElui1VqbTV2dk54us0mInXbaS/LXLt2VhTjyOXsIsnkecv8n67zfb2dqu9vd1ZJ3m4tnp7e0ecuj9cHPb0bHs6dqJYli1xTCdHpojp+CgQ7e3t1oQJE6zLly+bDgUA8s7LL79sSbLeeecd06GMSrLjIvIN6cs37N69e8jzZh/72tfBSRT5hsT7sPcZ3GYu5Bssi+PoZHAciNGK9/+NmTsYU/bZHrt27XKq/4FAQA0NDc4+mzZtkiSdOnXK2Wbvu2HDhqT7jJy6evToUT3yyCOpBT+Iy+VSOBxWRUWFdu7cqd7eXjU2No5J22PFft7a29uTepzb7Zbb7Y55dowtEAhEnT2Uba9bT0+PqqurnduvvvrqkH3Ky8slDX8WUrLKy8vl9Xq1ceNG9fX1OX3EEwwGdeDAgaip1H6/P+r/xEiPf/755+V2u53nDACAbPfAAw/o6tWr6u3tNR0KAOQd+zhs6tSphiPJLPIN6fPoo49Kin7e3n333aj7EkW+IXXkGwAki+IOxtSXv/xl50u8tLRULpdLzz33nJ566ilnn3Xr1sntduvZZ59VMBiUJP30pz9VfX2982Vib5c++0KPnNIbeX9ZWZm8Xq927dqlvr6+lNYXjWwv8vfm5mYFAgFJ0uc+9zk1Nzc799lf4MFgUC0tLTFjjtVuvL5G4vF41NLS4sQTDofV3Nwsr9cbtf6sz+eTz+cbsb09e/aor69PDQ0Neuutt6LuCwQC+uu//mtn2Tcp86/bcM9NT0+PVqxY4azBK0lr1qxRd3d3VL8dHR2SFHeN2kRei1ivm71W79q1a4dtKxgMqq6uTo2NjXK5XM5PZWWl1q9f7+wf+RxF/u73+1VXVyfpxusFAECuuOuuu3TLLbc41zQDAIwd+5gh09fWMI18Q3TMY5lvKC8v1+7du7V3716Fw2GFw2Ht3btXu3fvjiowkG8g3wAgyxiYRYQcker0yv7+fsvr9VqSLK/Xa7355psx97Gn/er/ppxGTnO1tyti6misbbbe3l5LUsy+EhGvv/7+fqu5uXnIFOnIPr1er9Xf359wzMP9HcOxpzbbP83NzdaxY8eG7Of1ekeckmsLhUJWZ2enMw1ckuV2u63du3dHTf+1Zep1G/yYeD9233a7b775ZlR88d5/w/Ux0j62WFPDB/9EPq+Df+y4hvv74r3GiWJZtsQxnRyZIqbjo4CsW7fO2rx5s+kwACDv7Nmzx5o6darpMEYtlXER+Yb05Btsdt7B7XbHXKaLfAP5hkgcRyeO40CMVrz/by7LsiwBMWzevFmS1NbWZjgSAKnYv3+/Nm/eLD7mR8bnHTLF5XKpra3NWXoCyGfbt29Xe3v7kDN2AQCj8w//8A/6zne+ozNnzpgOZVQYFwG5jePoxPF5h9GK9/+NZdkAAAAAjLlly5bp7bff1vnz502HAgB5JRQKqbS01HQYAADAMIo7AABkiL1mNrJPS0tL1BrUAEZv2bJlsiwr5kWIAQCpC4fDBXe9HQDA8Mg3mGE6l0BxB3kt8qJyw/0QIzD2wuFwWt+76W5/rAWDQW3fvt25OKokdXR0yOPxyOVyqaGhIamLntrC4bB6enrU2toqj8cTc59AIKCGhgann+7u7pT/jkz3l2hbfr8/6jOzoaEhbpt+v9+J334PrV27VrW1tSm9BgBimzlzpubOnavjx4+bDgUA8ko4HGbmThbIhWP5XIgRSBU5h8+kK98QDAbV2trqfFZ0dHQM2SeRHEE29+fz+Ybtb6SchOlcAsUd5DXLshL6IUZg7B0+fDin2x9L4XBYdXV1evLJJzV//nxJUmtrq8rKytTZ2SnLslRdXa26ujr5/f6k2m5ubtZPfvITbd26VV1dXTH79vv92rlzp0KhkKqrq7VmzZqY+2Zbf8m09fLLL0fdXr9+fcw2W1pa5PP5NHv2bH3ve99zPl8rKiq0bds21dXVMYMHGEMPPPCAXnnlFdNhAEBeYVm27JALx/K5ECOQKnION6Qr32C3K934LOnv79f+/fvl8/mi9hspR5Ct/QWDQZ06dUpNTU2yLEvt7e3auHFj1OynRHISxnMJFhDHpk2brE2bNpkOA0CK2traLFMf86FQyHK73Wnrf6zbT/fnXXNzs+X1eqO2SbLa29uHbHO73Sn1ISnm89HZ2ZnwvtnWXzJtxdp3sPr6esvr9VqhUGjYfZqbm5MLNAmSrLa2trS1D2SblpYWa/bs2abDAIC8smrVKusv//IvTYcxaoyLgNxmMm+YazmHdH7epSvf0N7ebkmKOn7u7e21JFkHDx4csv9o8wyZ7u/YsWMjtplMTiLduYR4/9+YuQMAiBIOh9XR0eFMS21tbY2aXhpr+v7gbc3Nzc6ZDPb2YDCorq4uZ9qsPdW2oaFBb7311qjblySfzzfkrA7TgsGgGhsbtXr16qjtu3fv1v79+4fsP2fOnDHtP3JadqT6+vox7Scd/SXaViAQkMfjkc/nU09PT8zH2O+LpqamYdeo37BhgxobG1meDRgjX/ziF3X27FmdOXPGdCgAkDdCoRDX3AGQs8g5jJ105hvsx0d+39xxxx2SpBdffDGFaLOrv6qqqqjb9qwbr9frbEsmv2Eql0BxBwAQpba2VhcuXHCmwXZ1dUVNL+3v7x/ymNOnT0fdbmpqcn63/m+q/6xZs+TxeNTV1aWenh5t2bJFoVBIkrRgwQJnsJVq+9nKvtbEvHnzorZv2bJFnZ2dzm37709X0cVmv47xli3L5v7itWVPLd+xY4dWrFghj8cTNaDy+/3asWOH1q9f7wzwPR5PzOv32K8T1wgBxsbSpUs1btw4vfrqq6ZDAYC8wTV3AOQycg5jJ535hlhLntmFl127diUda7b1FykQCKi5uVnSjfdnPMPlN0zlEijuAAAc3d3d6urq0pe//GVJUllZmbZt26auri799Kc/dbYNVl5ePmLbkYMh+wyJkpISZ3Bhf5Gn2r50YwAWOQjLBva1YEb6G/bt26fe3l5VVFSkNZ5XX31VbrdbjzzySFr7SUd/8dpyu90KhULq7e2V1+tVV1eXfvzjHzv3HzhwQNKN18Ae4M+ZM0dr1qwZMtPHHjxGntkFIHU333yz5s+fT3EHAMYQM3cA5CpyDmMrnfkG+3nL1LFxpvuzBQIB3X777dqxY4ek2EUm23D5DVO5BIo7AACHPdU1crCzcOFCSYo5pXcs2IOLxsbGtLRvmj1AGE53d7cee+yxtBd2JOn555/Xtm3bMpYQGMv+hmurpKREFRUVampq0u7du6MGZPZ7y35+Iwf4e/fuHdJO5GMAjN4Xv/hFijsAMIaYuQMgV5FzGFvpzDc8+eSTkqTvfOc7zowVe9UMe5bLWMp0f7by8nJZluWcLNrY2KjW1taY+46Uk5Ay/z6juAMAcMSa6mp/QQ139gJGZ/LkyRkp7HR0dMjtdg9ZWzYX+kumrccff3zE96v9fKd7ejeAG0uz/fKXvzQdBgDkhY8++kiffvopM3cA5CRyDpmXar6hqqpKBw8eVF9fn0pLS9Xa2qpz585JktauXTvWYWa8v8EqKiqcJdm2bt065P5M51MSRXEHAOCwLxYX6wJw6b4WTLrbz1YdHR0ZGRz4/X6dOHFCW7ZsSXtfY91fsm1FzsyRPntv2Wf/RIp3gUQAY+e+++5Tf3+/+vr6TIcCADnPHs8wcwdALiLnkFmjzTfU1NSos7NTlmVpy5Yteu211+T1etN2cmqm+xts/vz5MbdnOp+SDIo7AADHpk2bJEmnTp1yttkHkBs2bEhLn/Z6pLEuSJcP7OnDsQoLkvTEE0+kPYZgMKgDBw5ErQ3s9/vV0NCQ9f2l0lY4HI56v9q/v/POO1H7SJ+95wfzer1Jxwogtvvvv1/jxo3TL37xC9OhAEDOs8cwzNwBkIvIOYytTOYbOjo6dOjQoYwtO5bp/qTPnsf29nZnW7I5iUznEijuAAAc69atk9vt1rPPPuucSfPTn/5U9fX1qqmpcfYbfKG7yIvS219wkWfktLS0RPXT0dEh6cYX5759++R2u6NmUKTavs/nk8/nS/0JSAP7zI94g614Mbe0tMjlcjlrzA4nsu3B/QSDQdXV1amxsVEul8v5qaysjBrcZmN/ibTV0dGh7u5u5zGBQECHDx+Oer/W1NTI6/XK5/M57+sXXnhBbrd7yGA3EAhIkpYtWzbi8wAgMVOnTtW8efP02muvmQ4FAHJeKBSSxMwdALmJnMPYSne+IRwOO4WMvr4+dXZ2xjy5YLgcQbb25/F41NLS4uQAwuGwmpub5fV6nTxBovkNyVwugeIOAMBRUlKiPXv2yO12a9asWXK5XJKkv//7v4/a71vf+pbcbrcWLFigrq4uVVVVye12q729Xc8884wkOWc1fPe733XWLbUtXLhQHo9HpaWlKi8v1759+8a0/WyyfPlySdK7776b1ONCoZDq6+tHHDi6XK6og/vS0lLndZOk7du3x127eMGCBVndXyJtTZkyRWvWrJHL5ZLP59OHH34Yc6m1pqamIe/rwe876bPXyX7dAIyN+++/n5k7ADAGPvzwQ0nM3AGQm8g5jK105hvsY/+XX35Z9fX1evrpp4fdzzY4R5Ct/W3ZskWNjY26/fbb5XK5tGfPHn3pS1+KmqGTaH5DMpdLcFmWZWW0R+SMzZs3S5La2toMRwIgFfv379fmzZuVTR/z9hduNsUkpf/zzj7LJ97gZDgej0ednZ1jHVLB9jcSn8+n0tLSlF6rRLhcLrW1tcVdDg7IVy0tLWppaUn6wBMAEO2HP/yh/vIv/1KXLl0yHcqoMS4Ccls25g2zNeeQzs878g3Z0V+6cwnx/r8xcwcAgDSrq6vToUOHoqZ6J6Knp0fbtm1LU1SF199I/H6//H6/6urqTIcC5J2lS5fqvffe03vvvWc6FADIaefOndPMmTNNhwEAyBLkG8z3ZzKXQHEHAJAR9nq6g38vBPbU82effTaha9pIUnd3t6ZPn66qqqo0R1cY/Y3krbfe0q5du7Rnzx6WOQHS4L777pPL5dKrr75qOhQAyGnBYJDiDgDEUKg5B/INZvsznUuguAMAyIhZs2bF/L1QlJWVad++fTpw4EBC+9fU1DgXR8yEfO9vJF1dXXrmmWdUVlZmOhQgL5WWlmrevHkUdwBglM6dO6cZM2aYDgMAsk4h5xzIN5jrz3QuochIrwCAgpNta96aUFJSkrb1VzE6vC5A+t1333167bXXTIcBADnt3LlznIwCADEUes6BfIMZpp9zZu4AAAAASLv7779fv/jFL0yHAQA5LRgM6pZbbjEdBgAAyAIUdwAAAACk3f3336++vj719/ebDgUActYHH3zAsmwAAEASxR0AAAAAGbB06VJJ0i9/+UvDkQBA7jp37pxmzpxpOgwAAJAFKO4AAAAASLvPfe5zuvPOO1maDQBSdO3aNZ07d45l2QAAgCSKOwAAAAAyZOnSpczcAYAUnTt3TpJYlg0AAEiSXJZlWaaDQHb6sz/7M/3gBz8wHQYAAHnl3//93/VHf/RHpsMAjPj7v/977dy5U6dPnzYdCgDknBMnTuiee+7RyZMntXDhQtPhjJrL5TIdAgAAOeMrX/mKvv/970dtKzIUC3LAM888o3Xr1pkOA0AcP/zhD/Xb3/5WTU1NpkMBkKDx48frD//wD02HARizdOlSBQIBvf/++1wzAgCSFAwGJeXPzJ2jR4/qd7/7nekwAEQ4cuSI/vEf/1EvvPCC6VAADFJVVTVkG8UdxHXbbbfptttuMx0GgDg6Ozs1YcIEbdiwwXQoAAAk5P7775ck/fKXv9Sjjz5qOBoAyC3nzp2Ty+XKm+LOihUrTIcAYJCrV69KEnkGIEdwzR0AyFHvv/++pk+fbjoMAAASNmPGDN1xxx169dVXTYcCADnn/fff14wZMzR+/HjToQAAgCxAcQcActT58+cp7gAAck5FRYX8fr/pMAAg59jFHQAAAIniDgDkrPPnz3NwBwDIOZWVlert7TUdBgDknHPnznG9MgAA4KC4AwA56ty5c7rllltMhwEAQFIqKir09ttv6+OPPzYdCgDklGAwSHEHAAA4KO4AQA66du2aQqEQM3cAADmnsrJSn376qf73f//XdCgAkFOCwaBmz55tOgwAAJAlKO4AQA46f/68JHHNHQBAzpk7d65KSkpYmg0AktTX10dxBwAAOCjuAEAOsos7LMsGAMhFXHcHAJJ39uxZzZkzx3QYAAAgS1DcAYAc9MEHH0gSy7IBAHJSZWWl/H6/6TAAIGdcvnxZ4XCYmTsAAMBBcQcAcpBd3GFZNgBALqqoqNDrr7+u69evmw4FAHJCX1+fJFHcAQAADoo7AJCDzp8/rylTpmjixImmQwEAIGkVFRW6dOmSfvOb35gOBQBywtmzZyWJZdkAAICD4g4A5KDz589zvR0AQM5avHixJkyYwHV3ACBBZ8+e1fjx4zVz5kzToQAAgCxBcQcActAHH3zA9XYAADlr4sSJWrhwIcUdAEhQX1+fZs6cqfHjx5sOBQAAZAmKOwCQg86dO0dxBwCQ0yorKynuAECCzp49y5JsAAAgCsUdAMhB58+f1/Tp002HAQBAyioqKuT3+02HAQA54ezZs5o9e7bpMAAAQBahuAMAOej8+fOstw0AyGmVlZU6e/asc5FwAEB8fX19FHcAAEAUijsAkIM++OADZu4AAHJaZWWlJDF7BwASwLJsAABgMIo7AJCDKO4AAHLd9OnTddttt3HdHQBIAMuyAQCAwSjuAEAO4po7AIB8UFlZSXEHAEYwMDCg999/n+IOAACIQnEHAHLMxYsXNTAwwDV3AAA5j+IOAIzMvjYZy7IBAIBIFHcAIMe8//77ksTMHQBAzquoqNBvfvMbXbp0yXQoAJC1+vr6JEmf//znDUcCAACyCcUdAMgx58+fl0RxBwCQ+yorK3X9+nW9/vrrpkMBgKz1u9/9TuPHj6e4AwAAolDcAYAcYxd3brnlFsORAAAwOnfeeaemTp0qv99vOhQAyFqBQEBf+MIXVFRUZDoUAACQRSjuA/G7lgAAIABJREFUAECOOX/+vIqKilRaWmo6FAAARsXlcumee+5h5g4ADOPMmTO69dZbTYcBAACyDMUdAMgx77//PkuyAQDyxpIlSyjuAMAwzpw5o/LyctNhAACALENxBwByzLlz5yjuAADyBsUdABgeM3cAAEAsFHcAIMecP39eM2bMMB0GAABjoqKiQufPn1dfX5/pUAAgKwUCAWbuAACAISjuAECOOXfunG655RbTYQAAMCbuvfdeSWL2DgDEMDAwoGAwqNtuu810KAAAIMtQ3AGAHPPBBx+wLBsAIG+UlJSovLyc4g4AxHDmzBlZlkVxBwAADEFxBwByzPnz5ynuAADyCtfdAYDYzpw5I0kUdwAAwBAUdwAgx5w/f14zZ840HQYAAGOG4g4AxHbmzBlNnDhRs2bNMh0KAADIMhR3ACDHnDt3TjNmzDAdBgAAY2bJkiU6efKkrl69ajoUAMgqZ86c0a233mo6DAAAkIUo7gBADrl27ZpCoRDLsgEA8sqSJUs0MDCgX//616ZDAYCscubMGZWXl5sOAwAAZKEi0wEAAOI7fPiwTp48qZkzZ2r69OlyuVySpJtvvtlwZAAAjJ27775bEyZM0Ouvv64lS5aYDgcAjHj99df17W9/W/fcc4/mzp2rO++8U2+++SYzdwAAQEwUdwAgi33lK1/RqVOnhmx/9NFHNXHiRJWWluqjjz7SM888o29+85sGIgQAYPQmTJigu+++m+vuAChor732mv7jP/5D//Vf/6Xr16/r+vXrkqTx48frZz/7mebNm6c777xTy5Yt09atWw1HCwAATGNZNgDIYn/6p3+q4uLimPdduXJF/f39unz5sv7nf/4nw5EBADC2lixZQnEHQEFbvny5JGlgYMAp7EjS9evXdebMGb300kv6l3/5F/3FX/yFPv30U1NhAgCALEFxBwCy2O///u9rYGBgxP22b9+egWgAAEgfijsACt3v/d7vacqUKcPuM2HCBH3jG9/QuHGkcwAAKHSMBgAgiy1btmzYA7yioiI9/PDDuu+++zIYFQAAY2/JkiUKBAIKh8OmQwEAI8aNG6f7779/xH3+9m//NkMRAQCAbEZxBwCyWFFRkVatWqXx48fHvP/69etqbGzMcFQAAIy9JUuWSBKzdwAUtAcffFATJ06Med+ECRP01a9+VbNmzcpwVAAAIBtR3AGALLdu3Tq5XK6Y982ZM0dutzvDEQEAMPbKy8tVUlJCcQdAQVu2bFncZZnHjx+vb37zmxmOCAAAZCuKOwCQ5dauXatr164N2T5+/Hj9zd/8DettAwDyBtfdAVDoHnjgAVmWNWT7hAkT9LWvfU1lZWUGogIAANmIjCAAZLkFCxbEXHqhuLhYdXV1BiICACA9KO4AKHS33nqrZsyYMWR7UVERyzEDAIAoFHcAIAesX79eEyZMcG7bhZ3S0lKDUQEAMLYo7gDAjevuRM7OnzBhgv7mb/5GM2fONBgVAADINhR3ACAH/P7v/76uX7/u3L569aq+9rWvGYwIAICxt2TJEoXDYZ05c8Z0KABgzPLly1VUVOTcZtYOAACIheIOAOSAtWvXOmtvFxUVad26dZo3b57hqAAAGFuLFi2SJJ04ccJwJABgzrJlyzQwMCDpxtj/qaeeirlUGwAAKGwUdwAgB8ycOVMLFy6UJF27do1ZOwCAvDR9+nR9/vOf18mTJ02HAgDG3H///XK5XJJuLMf89NNPG44IAABkI4o7AJAj/vAP/1CS9Hu/93v6gz/4A8PRAACQHosXL2bmDoCCNn36dE2fPl2S9I1vfMP5HQAAIFLRyLtgLJ09e1ZPPfVU1LUzACARZ8+elXTj7L0/+ZM/MRwNgGw3b948Pfvss6bDAJK2ePFiHT9+3HQYeWvbtm16++23TYcBYASXLl2SJL3++ut6/PHHDUcDFK7a2lq53W7TYQBATMzcybDu7m51dHSYDgNADpo1a5buu+8+LViwwHQoaXf8+HESewl68cUXFQgETIeBLPPiiy/queeeMx0GkJJFixYxcyeNnnvuOb344oumwwAwgurqalVXV6u4uDhqO+PkxDFOxmi9+OKL5PAAZDVm7hjywgsvmA4BALLW5s2bJUltbW2GI8l+LpdLX/va17Rp0ybToSCL7N+/3/l/BOSaRYsW6cKFCwoEAiovLzcdTl5qa2vjewPIUYyTE8c4GaPFeBpAtmPmDgAAAICscc8990gSs3cAAAAAYBgUdwAAAABkjdLSUs2ZM4fiDgAAAAAMg+IOAAAAgKyyaNEinTx50nQYAAAAAJC1KO4AAAAAyCqLFy9m5g4AAAAADIPiDgAAAICssmjRIv3qV7+SZVmmQwEAAACArERxBwCQ13w+n3w+n+kwslIwGFRLS4vpMBBDS0uLwuGw6TAAYxYvXqwLFy4oEAiYDgUA8hbj5PgYJ+c+xtMACgHFHQAA0igcDsvlcpkOY4hgMKjt27fL7XY72zo6OuTxeORyudTQ0KBgMJh0u+FwWD09PWptbZXH44m5TyAQUENDg9NPd3d3yn9HpvtLtC2/3y+Xy+X8NDQ0xG3T7/c78dvvlbVr16q2tjal1wDIB4sXL5YkvfHGG4YjAQCkS6GNkyWpq6vLacfj8aijo2NMYm5tbR32uYw13syV/hJta3BMjKcBFAKKOwCAvNbU1KSmpiZj/R8+fNhY3/GEw2HV1dXpySef1Pz58yXdOBgqKytTZ2enLMtSdXW16urq5Pf7k2q7ublZP/nJT7R161Z1dXXF7Nvv92vnzp0KhUKqrq7WmjVrYu6bbf0l09bLL78cdXv9+vUx22xpaZHP59Ps2bP1ve99z1mCqqKiQtu2bVNdXR1nHKIglZSU6NZbb9XJkydNhwIAeYtx8lDpHCe3tLTI4/GoqalJlmWpqalJGzduHPUMIb/fr61btw7bb6zxZi70l2hbsWJiPA2gEFDcAQAgTcLhsFpbW02HMcSePXtUUVGhqqoqZ9vWrVujzmp74okn1NXVlfRSHSMlCQ4fPuycBVlSUqInnnhCkuLOusmm/pJpa/bs2bIsy/mJPPPT1tDQoFAopH379sntdqu8vDzq/qqqKs2ZM0d79uxJOlYgHyxevJjiDgDkqUIcJzc2Nkq6UXSI/PfQoUMpxxsOh/WjH/0o7v0jjTezub9E2xouJsbTAPIdxR0AQN4KBoPOEgqxbnd1dTlLItjXdQgGg85yCdJn0/sbGhr01ltvOW1HLrkVb1tzc7MzqyNyu8n1zYPBoBobG7V69eqo7bt379b+/fuH7D9nzpwx7T9WkUOS6uvrx7SfdPSXaFuBQEAej0c+n089PT0xH2O//k1NTSopKYnb54YNG9TY2MhyEihIixYt0okTJ0yHAQB5iXHyUOkeJzc3N0uSMz60n9fRzJ7as2ePvvrVr8a8L9HxZjb2l0xbw8UkMZ4GkN8o7gAA8lZdXZ02btzoHDhG3u7p6ZHb7dbp06fV1dWl5557TpI0a9YseTweZ58tW7YoFApJkhYsWOAcuPb39w/p7/Tp01G3Iw/U7Bkcph0/flySNG/evKjtW7ZsUWdnp3Pb/jvTVXSx2UskxFu2LJv7i9eWvUTHjh07tGLFCnk8nqiDSb/frx07dmj9+vVOUsTj8cS8fo/9OtmvG1BI7Jk72fDZCQD5hnHyUOkeJz/99NPyer1asWKFenp6dPToUfX39zszeJLV3d2thx56SGVlZUPuS2a8mW39JdPWcDHZGE8DyGcUdwAAeSvyIGzwbXupBXt6/65duyQp6sDS3qekpMQ5eLMPgGMdQCS67IDJ9c3ta8GMFOu+ffvU29ub8sFmol599VW53W498sgjae0nHf3Fa8vtdisUCqm3t1der1ddXV368Y9/7Nx/4MABSTdeAzspMmfOHK1Zs2bITB/7TMXIs2GBQrFo0SJ9/PHHeuedd0yHAgB5h3HyUJkYJzc1Nam+vl4rVqzQiRMnNHHixJRiDQaD+u1vfxu1fFykZMab2dZfom2NFJON8TSAfEZxBwCABNgHb/Za2blqx44dI+7T3d2txx57LO2FHUl6/vnntW3btjFbKiKT/Q3XVklJiSoqKtTU1KTdu3c7yQ5p6HrrkUmRvXv3Dmkn8jFAIVm8eLEkcd0dAMhyjJMT19LSourqamfGU21trTMbPBk//vGPtWXLlrj3JzPezLb+Em1rpJhsjKcB5DOKOwAAIMrkyZMzUtjp6OiQ2+0e8Wy7bOwvmbYef/zxqOJOLPbzbZ8ZC0CaNm2abr31Vv3qV78yHQoAAJJGN07u6OhQY2Oj1q1bp5KSEtXW1qqrq0svvPBCUu10dXXp0UcfTbr/VMebme4vkbZSjQkA8g3FHQAAkpDua9CY1tHRkZFii9/v14kTJxI62y7b+ku2rcizDaXP3kOxztJ0u92jjg/IJ3fffTfFHQDIEYyTh7dx40ZJn80kmTVrliRp69atSbXj8Xh0++23y+VyOT82+/exHG9mur9E2kokJgAoBBR3AABIgL1G8/r16w1HMjrNzc2SYh8sSdITTzyR9hiCwaAOHDgQtZ663+9XQ0ND1veXSlvhcFgbNmxwbtu/R15HxH49Nm3aFLMNr9ebdKxAPli4cKF+/etfmw4DADAMxsmJGVzksIs8yRY/LMsa8hN5n5TaeDNb+kukrURiGozxNIB8RHEHAJC3gsFg1O+Rt+0DhMiDt8j7pRtn59n77Nu3T263O+rgyz6rzD6gjbzAp53st/cPBoNqaWmRJPl8Pvl8vlH+damZP3++pPgHrfFia2lpkcvlkt/vH7GPyLYH9xMMBlVXV6fGxsaoM+0qKyujEgLZ2F8ibXV0dKi7u9t5TCAQ0OHDh1VTU+Nsq6mpkdfrlc/nc95zL7zwgtxu95CkQSAQkCQtW7ZsxOcByEcLFy7kmjsAkAaMk4dK9zj561//uqTPnjv7ObG3J9PWSBIdb2Zjf8mMlRPBeBpAPqO4AwDIW/ZSB/bvkbdLS0uj/h28v3QjqejxeFRaWqry8nLt27cv6v5vfetbcrvdWrBggbq6ulRVVSW326329nY988wzkuTM8Pjud7+r2trasf0DU7B8+XJJ0rvvvpvU40KhkOrr60c82Ha5XFHPaWlpadTSCNu3b497/ZkFCxZkdX+JtDVlyhStWbNGLpdLPp9PH374YcyzMZuamuR2uzVr1iwn3sHvL+mz18l+3YBCs3DhQoVCIb333numQwGAvMI4eah0j5Nramp08OBBHTp0SC6XS3v37tXBgwejTgJKtK1EJDLezNb+Eh0rJ4LxNIB85rLizVdEWuzfv1+bN2+OO00UACBt3rxZktTW1makf/sAIhc+q10ul9ra2pJa7sA+M/Lpp59Ouj+Px6POzs6kH5eqfO9vJD6fT6WlpUm/Vow3kC/ee+89feELX9BLL72kVatWmQ4nL6TyvQEgezBOTlwuj5PzfQycyf5SHU9L5v+/mcBxBJBbmLkDAECBqaur06FDh6KWx0hET0+Ptm3blqaoCq+/kfj9fvn9ftXV1ZkOBTDm85//vEpLS/WrX/3KdCgAgAKQDePkfB8DZ7I/xtMA8h3FHQAAIgxefzwflZSUaM+ePXr22WcTXl+7u7tb06dPV1VVVZqjK4z+RvLWW29p165d2rNnj3OxXaBQLVq0iOIOAGQBxsmxjeU4Mt/HwJnsj/E0gEJAcQcZFQwG1dHRIY/HYzoUAIhp8Prj+aqsrEz79u3TgQMHEtq/pqbGuchsJuR7fyPp6urSM888o7KyMtOhAMbdfffdFHeQNI47gLHHODm2sRxH5vsYOJP9MZ4GUAgo7iAlgUBADQ0NcrlcamhoUHd3d0KP2759uzZu3Bj3gtTDCYfDURfJxthobW0d9fPa09Mjn88nl8vlXETc7/crGAwafc1Gep/a8cb6aWlpUVdXl8LhcMKPifWD3GNZVtRPPispKUlp7Wmk39NPP82BKPB/Fi5cqF//+temw0COSeW4w8TxRjgcVk9Pj1pbW8esEJWNY/NUxso9PT1DxvKDX6Nkx+aDf4ZbequnpydmvOk4xsgVjJORSxhPAygEFHeQtHA4LL/fr507dyoUCqm6ulpr1qxJ6MBp586dKfd7+PDhlB+L2Px+v7Zu3TqqNnw+n/bu3ava2lpnkP/Vr35VgUDA6NlcibxPLctSf3+/czsUCjl/w9q1a9Xa2qra2tohSw60t7fHPKiJ3Nbe3p7+PxIAgAKwcOFC/e53v9NHH31kOhTkkFSOO0wcbzQ3N+snP/mJtm7dmtIJcINl69g83rg7np6eHq1YsULV1dWyLEs7d+7UjBkzVFtbO2TfZMbmlmXp9OnTzj579+6NG0Pkff39/bIsK63HGADw/9m7/+A46vv+46/z7x8oElAkT0xs/AMbpzSCpPgHsSUQZIhN70in2LWlqEla2Tm1gWHGmiaY0xBX/jpkIrUU0tgje9pxPbJUyLRBNykzreWxZI8l0yGRmDjExoAlfgy6tI10Agw2sN8/1F3uTne6vV/avdPzMXNj397e5/O+3dN9Prvv3c8HAFJFcgcp6+npkdfrlTR+Ncv27dslKadDHoyOjurQoUM5K386Gh0d1U9/+tOMyjCvAjxw4EDUrdWlpaXyer3q7e3NNMy02f2eRl7JEzkOb3l5uQ4fPixpfFLNyKvrzLIms3nz5vSDBwAAlltuuUWSdP78eYcjQSFz6nijqalJTU1NWSnLzX1zMw5TsvkvzMRKZL+7vLw87rZKtW++ZMkSSeOJtYMHD2poaGjC+kNDQ1q5cuWE2HN5jAEAAJAqkjt5YnR0VB0dHdbt3PEOPOKtEzvhYeS408FgUB6PRz6fT0NDQwlvO5eklpYWa1l5eXncGP1+/6Qx+Xw+XbhwIa3P39zcbF0NZcYRCoUUDAbl8/k0Ojqq+vp6NTY2WvWaw42ZQxGY2yLZdohkfm5zW5rbJLJu6dOhzerr6+N+xmT7Jll9plAoZK3j8/lsD4cXz+HDh/XQQw/Ffa2xsdHalon09fVp37592rNnT8J14k2S6MbvaSKlpaV65JFHFAwGrSs5I6/0m0xxcbEGBwf5nmb4PQUA4KabbtK8efOYd8dBbjoWiXciPhWJ+jGJjjfixVxfX2/FYX7myGXZVgh981S3zVtvvSVJEya0j+3jp9o3j3TvvfdKks6cOTNh/TNnzlivRzITO7EyPcYAAABIi4Ep1dbWZqSz2b1erxEIBKznfr8/6rm5Tmtrq2EYhjE8PGx4vV7D6/UaIyMj1uuSDElGb2+vYRiGMTg4aEgy/H6/YRiG0dXVZUiaULZhGEYgEDD6+/snLB8ZGTEkGZ2dnXHj9vv9Vgzt7e1WDKmKfV/s5+nv77c+h9/vNyQZw8PDEz6jne1gGIbR3NxsDA4OWp8xEAhY9ZvvjyxjZGTEqvf8+fMTtsNk+yZZfZHva29vNwzj030Vb58k09XVZcUdb38EAoG434HYdcxtnAo3fk8n+06a74v8bqTyfr6n6X1Pq6urjerq6pTeM11JMtra2pwOAy6Tbn8DcKsvfOELxve+9z2nwygI6bQbbj4WmUxsHy1ZP2ay4w2z7t7eXivmyfpoqZqsP1lIfXO7x4L9/f3Wuq2trVH90WTs1GG+bvaLY5mfLVlZuTzGSIR+sn30k5Gp6fj3xnEEkF/4a51i6fxImgmRyI56b2+v4fV6redmhzp2HUnWSVbDiN/BjF1mHhhEdqDNg594urq6JpwANgzD6OzsnHAC2ezEZiO5E7kstu5AIBDVUY59r53tELs9h4eHk5ZhHoQ0Nzdby1LZN5PVZ34PYmNOdqAXa3h42DqAS/Q57EjnfW78ntr5LNl6ne+pfdOxE50uDloRDwdlKDTbt283HnjgAafDKAipthtuPxaZTDb6TZksyyTWqXi/E/stlTjPnz9vJV/MmOwkeVJJ7pjbwExcGcZ4X7mrq8tWWbk8xkiEfrJ99JORqen498ZxBJBf+GudYun8SJpXS00m3hVHZiIl8sDLTsfcPPEb2aHv6upKeKWc1+uN6gxPFlOiGOxI5yBqcHDQaG5uTuukuRl/ooOIRHUnKidSvH2TrL7Iq+ZiH6mITOxM9jmSSed9bvye2vksuX6d7+lE1dXVCcvhwYOH/QdQKL7//e8bq1atcjqMgiCldrLT7ccik4ktO51+UybLMol1Kt7vxH5LJ87e3t6oJE+8u2RSrSPydSn6DprIhFSysnJ5jJEI/WQePKb2QXIHgJt5DMMwhClz7Ngx1dTUKJXNbo5bPNl7Eq0TuzzeevGWmWMqd3Z2Shof5zne5JUdHR0aGxvTzp07047JLruxmw4dOqRgMKjm5matXr06aj07ZV24cEENDQ3W2NvNzc3avXt3yp/P7nrp1peKYDCo8vJyaxLRTMqtr6/XwYMHNTIyknRC1GR1Ofk9nSwuaXwc8pKSEgUCgYST3SbbhnxPU1dTU6OhoSE9/PDDGZUzHWzbtk0PP/ywNm7c6HQocJHTp0/rqaeeyvhvEXCLf/mXf9HXv/51vffee5ozZ47T4eQ1j8ejtrY2VVdX215fcuexSKqxp9OPyWRZJrGmKl/65pl8zr6+Pu3fv1/BYFCdnZ0J57+x+501X+/o6NCOHTs0ODioefPm6cSJE9q+fXvSsnJ9jJEI/WT76CcjU0899ZSWLFmitrY2p0OZMumctwTgoGxliWBPJnfuTHa1mrlO7BjLkiYd9inRMnP4hd7eXmNwcDDu1VH9/f2TDo8Qr9zJlidjN/bI+M0xtWPXS6Usc44UKXoYq8k+X+Q2t7tv7NYXO09KKswyEj1SYQ67l8pVlG78niYq22QO1WAOzZDq+yd7ne9pYtPx9vd0SQw3gYm44g6FZmBgwJBk/OpXv3I6lLyXarvh1mMRO7LRb8pkWTZitStf+ubJPmfkXDfx7q4y5/tJp+8du05sme3t7UZ7e7vVN5+srKk4xkiEfrJ99JORqen498ZxBJBfZgiuZ16RdPDgQY2OjkqShoaGVF9fb61jXnn32muvWcvMdbdu3ZpynVVVVZKkI0eO6MyZM6qoqIh6PRQK6fjx41FXGQ0MDETF1Nraai2fajt27JCkqDtUUuXxeDQ6Oqry8nIdOHBA/f39amhomPQ9Fy5ckCRt2bLFWmZ33ySrz9yeR48etd4fCoXU0tJi+zMZhjHhEflaKrxer7xerw4ePJhwnaGhoaj43Pg9nUwoFNKTTz4pr9dr1ZVNfE8BALBn1apVmjlzpn7zm984Hcq048ZjkXSl02/KF/nQN0+mr69PlZWV1vMXX3xxwjpmvznRXTvpWLJkiQKBgHbs2KG33norad/c7ccYAABgGnEyszQdpZMBHx4enjCPhd/vj7oyfmRkxPB6vYbX67WuvGpvb4+64sqcMFQRV0GZYyorzhVb5qSYkVezJYrHfERenWVeAeX1eq2rn8wrlMzPkIrIK8uam5ujPk+idQcHB43z589HfUa720EanwTejN2cF8Vkrm+OK21OGBo5PrW5PNm+sVNfZNyRj8gry9IRbxsGAgFbk9aa34XY76MZf+RnNgx3fk8jy468OrC/v39CrIm2QaLYYl+Pxfc0sel4hVS6xBWJiIMr7lCIli1bZuzfv9/pMPJequ2G245FUok71X7TZMcbZszxyk3WH0wmUX/UVAh989iyYvX29kbdeWSu19XVFVWveXdQojuU7OwLc53I1805gyLLTbSvp+IYYzL0k+2jn4xMTce/N44jgPzCX+sUS/dHcnh42OooBwKBuEMeDQ8PG62trVEncyM7krGdz0TLTGYHN7auyMksYx/xDiLM9f1+v9UZbm9vT7kza8YTCAQmnECOPVEdu24gEDD8fn/UbfzJtkPkgV28AxRzXbODLslobW2Ne0CWbN/Yqc/cnub3wPw8mcokuWMY4wcunZ2dUd8Lr9drtLa2xo3PTd/TRK+b2z/R5KiJYo0XH9/T9L6n07ETnS4OWhEPB2UoRF/96leNb37zm06HkffSaTfcdCxiVzr9psmON5L1xxJ9jlTjLNS++WT97siHWbdZ7vnz56PiS/T9s7stJ3s93lB0sY+pOMZIhn6yffSTkanp+PfGcQSQXzyGwQxZU4mJyQpHtiaOB3IpX7+nNTU1kjStJq5MV6oTY2N6oL+BQvTQQw/pl7/8pU6fPu10KHmNdgPIb/ST7eP3Dpmajn9vHEcA+YU5dwAAAAC43urVq6154wAAAABguiO5A6QhFArF/T/gJnxPkUwoFIqaWBnu0dLSYk1qDWDcypUr9dvf/lYjIyNOhwIAgCT6006hrwwA40juwFEej8fWw23Kysri/t8p+bodkVtu+57mk9HR0Zz+zeS6fDtCoZAef/xxeb1ea1lHR4d8Pp88Ho/q6+vTSgoODQ2pvr7eKuPEiRNJ33Po0KG0t8dU1zc6Oqq+vj4dOnRIPp8vo5iCwaC1vX0+nzo6OqzX7r33XtXW1pKYBSKsXr1akrh7Z5rLh35vPsQIpGs69JPtylV/OlayvuvAwIDVN83GtpvK+uyWFRsTfWUAGEdyB44yDMPWw23cFl++bkfkFvs/fT09PXldfjKjo6Oqq6vTN77xDa1atUrS+AFTaWmpOjs7ZRiGKisrVVdXp4GBgZTKHRgY0IEDBzQyMqLKykrdc889CgaDCd8zMDCgXbt2pf05prI+SWpubtbPf/5z7dq1K249dmNqaWmRz+dTU1OTDMNQU1OTduzYYV35WV5erj179qiuro6rEoH/s2TJEs2ZM0evvPKK06HAQfnQ782HGIF0FXo/2a5c9adjJeu7trS0qLGxUYsWLdKPf/zjjH9bprI+u2XFi4m+MgCMI7kDAECE0dFRHTp0KG/Lt+Pw4cMqLy/X+vXrrWW7du2KuvJt+/btCgaDamxstF1uT0+PdeVicXGxtm/fLkkJ73AZHR3VT3/603Q+giP1SVJTU5OaptFiAAAgAElEQVSampoyjqmhoUHS+IFp5L/d3d3WOuvXr9fixYt1+PDhjGIGCsXMmTO1cuVKnT9/3ulQAGBamg79ZLty1Z+OlKzvWl9fr5GRER09elRer1dLlixJqx4n6rNb1mQx0VcGAJI7AIACMjo6qo6ODmu4k0OHDkUdYMUbCiV2WXNzs3WXhbk8FApZQ2hJnw4LUF9fHzU8ULrlS1JjY2PaB36pCIVCamho0N133x21vLW1VceOHZuw/uLFi22XHTkkRSS/3x93+eHDh/XQQw/ZLt/p+uywG1Nzc7Mkqa+vT9L4UG6SJiSOtm7dqoaGBoacAP7PypUrGZYNANJAPzl7ctmfjjRZ39XcHk1NTSouLk6rfKfqS6WsZP13+soApjuSOwCAglFbW6uxsTEZhqHh4WEFg8GoW/WHh4cnvGdwcDDqeeTJdXPYlLKyMvl8PgWDQfX19Wnnzp3WhN6rV6+2DlzTLX8qnT17VtL4CdJIO3fuVGdnp/Xc/EyJEiV2mNt9y5YtE147ceKEvvzlL6u0tDTt8p2uL5OYdu/erUAgoA0bNqivr09nzpzR8PCwdQePydxP5n4DprvVq1dz5w4ApIF+cvZMRX96sr7rwMCA9u3bpy1btljJNJ/PZ2vuSafrS6UsO/13+soApjuSOwCAgnDixAkFg0E98MADkqTS0lLt2bNHwWBQzz//vLUslp3hBCIPLM2hF4qLi60DNfMKw3TLl5IP95UtL7zwgqTkcR09elT9/f0Tkg2pePHFF+X1elVRURG1PBQK6dVXX40axiIbprq+TGKSxve53+/Xhg0bdO7cOc2dO3fCOubVjNypAIxbuXKlLl686HQYAJBX6CdnV67708n6rsePH7fqN5Npixcv1j333GPdFe7W+uyWZbf/Tl8ZwHRHcgcAUBCeffZZSdEHjmvWrJGkuMMjZIN5oGbOn5IP9u3bl3SdEydO6MEHH8wosSNJTz75pPbs2TNhuIXnnntOO3fuzKhsN9SXSUzS+CSylZWV1tWttbW1EyaENd+XT98xIJfWrFmjd999V2+99ZbToQBA3qCfnF257k8n67vGzt0YmUw7cuSIq+uzW5bd/jt9ZQDTHckdAEBBOHjw4IRlZmffvGIQ9ixYsCDjxE5HR4e8Xu+Eq+2CwaDuu+++jMp2Q32ZxGS+1tDQoM2bN6u4uFi1tbUKBoN65plnHIgUyB8333yzJHH3DgCkgH7y1Eu3P51u39WsK96+dlN9dspysv8OAPmG5A4AoCCYE9nHm0wzk3lj7Mh1+VOpo6Mj4+HLBgYGdO7cubhX2/l8Pi1dujThpLr5UF+mMUnSjh07JH16YqWsrEyStGvXrpzFBBSCRYsW6TOf+Qzz7gBACugnT61M+tN2+q7mNo2941v6dF+7tT47ZTnVfweAfERyBwBQEKqrqyVJr732mrXMPGjYunVrTuo0x3besmVLTsrPhebmZknxD6gkafv27RmVHwqFdPz48ahx0QcGBlRfXy/p08lxIx+mdCbNner6shGTNPFA2EzyJDpADgQCOYgUyE8333wzd+4AQAroJ2dXLvvTdvqu5j67dOmS9ZoZi7mv3VqfnbLS6b/TVwYwXZHcAQAUhM2bN8vr9Wr//v3WVYnPP/+8/H6/qqqqrPXMq8XMA87IiTvNk++RVze2tLRE1dPR0SFp/CDk6NGj8nq9USfk0y2/sbFRjY2N6W8Am1atWmXFH0+iOFpaWuTxeDQwMJCw7FAopLq6OjU0NERdaXfbbbelfGDvxvpMkdsudjvajemRRx6R9On3yfyemMtNQ0NDkqS1a9em9HmAQrZq1Sru3AGAFNBPzq5c9qftqKqqUiAQUGNjo7U/n3nmGXm93qjEkhvrs1uWXfSVAUx3JHcAAAWhuLhYhw8fltfrVVlZmXXL/hNPPBG13qOPPiqv16vVq1crGAxq/fr18nq9am9v1969eyXJuuPi6aefVm1tbdT716xZI5/Pp5KSEi1ZskRHjx7Navm5tm7dOknS22+/ndL7RkZG5Pf7Jz2wfvzxxxOO27569eq8r08aHwqipKTEel5SUhI1PITdmKqqqtTV1aXu7m55PB4dOXJEXV1dUSdYpE/3k7nfAHDnDgCkin5yduWyP21XU1PThP0Zu73dWp+dsuyirwxguvMYuRqTBHEdO3ZMNTU1ORsKBgAKQU1NjSSpra3N4Ug+ZR54uO332+PxqK2tLaUhEcyrIHfv3p1yfT6fT52dnSm/L12FXl8yjY2NKikpSXlf0d9AIWtra9Of//mf6/3339fMmTOdDifvpNNuAHAP+sn25fL3jv60O+pLt69slxv/3nKN4wggv3DnDgAA00xdXZ26u7ujhsKwo6+vT3v27MlRVNOvvmQGBgY0MDCguro6p0MBXOXmm2/WlStXrKFYAACYavSnna+PvjIAkNwBACApczzo2P/nK3Nojv3799seg/vEiRO67rrrtH79+hxHNz3qS+bChQs6ePCgDh8+rOLiYqfDAVzFnOuAeXcAwHmF1k+2i/60s/XRVwaAcSR3AABIoqysLO7/81lpaamOHj2q48eP21q/qqrKOqE6FQq9vmSCwaD27t2r0tJSp0MBXKekpEQ33HADyR0AcIFC7CfbRX/aufroKwPAuFlOBwAAgNsV6njDxcXFORufGplhvwCTW7VqlS5cuOB0GAAw7RVqP9ku+tPOYJsDwDju3AEAAACQV26++Wa98sorTocBAAAAAI4huQMAAAAgr9xyyy3cuQMAAABgWiO5AwAAACCvrFq1Sm+88YY++OADp0MBAAAAAEeQ3AEAAACQV26++WZ98sknunjxotOhAAAAAIAjZjkdwHT17LPPOh0CALjW0NCQJH4r7Tp79qxmz57tdBhwEf52UOhWrlypGTNm6JVXXtGtt97qdDh559lnn6XdAPIU/eTU0E9GJp599llt3brV6TAAICGPYRiG00FMJy+88ILWrVvndBgAAKDAzZkzRx9++KHTYQA5c9NNN6m+vl7f/e53nQ4lr8ydO1dXrlxxOgwAAPLCY489pn379jkdxpQ5duyYampqxOliID9w584UW7t2LT+QAGx74okndODAAQ0ODjodCgAArrJq1Sq98sorToeRd0j6Au7i8XjU0dGhP/3TP3U6FAAAkGeYcwcAXOyDDz7QZz7zGafDAADAdW6++WZduHDB6TAAIG3hcFiS6O8DAIC0kNwBABf78MMPNWfOHKfDAADAdbhzB0C+Gxsbk0RyBwAApIfkDgC4WDgc1oIFC5wOAwAA17n55pv1zjvvWFe+A0C+4c4dAACQCZI7AOBiV65c0cKFC50OAwAA11m1apUk6fz58w5HAgDpMZM7xcXFDkcCAADyEckdAHCx999/n2HZAACI46abbtLs2bOZdwdA3uLOHQAAkAmSOwDgYu+9956KioqcDgMAANeZNWuWli1bptdee83pUAAgLWZyh/4+AABIB8kdAHCxK1euaP78+U6HAQCAKy1fvlyvvvqq02EAQFrGxsa0cOFCzZw50+lQAABAHiK5AwAuNjY2xrBsAAAksHz5cu7cAZC3wuEwQ7IBAIC0kdwBABe7fPkyE6wCAJAAyR0A+YzkDgAAyATJHQBwsStXrnDnDgAACaxcuVJvv/22Ll++7HQoAJAykjsAACATJHcAwMVGR0eZcwcAgASWLVsmwzD0+uuvOx0KAKQsHA6rqKjI6TAAAECeIrkDAC525coVXXPNNU6HAQCAKy1fvlySGJoNQF7izh0AAJAJkjsA4GKXL19mWDYAABK45pprVFZWRnIHQF4iuQMAADJBcgcAXOzdd9/lzh0AACaxYsUKXbx40ekwACBlJHcAAEAmSO4AgEt9/PHH+vjjj7VgwQKnQwEAwLWWLVvGnDsA8hLJHQAAkAmSOwDgUu+++64kMSwbAACTWL58OcOyAchLJHcAAEAmSO4AgEu9//77ksQBHwAAk1i5cqVee+01GYbhdCgAkBKSOwAAIBMkdwDApa5cuSJJmjt3rsORAADgXsuXL9cHH3ygt956y+lQACAlJHcAAEAmSO4AgEuFw2FJ0rx58xyOBAAA91q2bJkkMe8OgLxy+fJlXb16leQOAABIG8kdAHCpDz/8UJJUVFTkcCQAALjXZz/7Wc2fP595dwDklbGxMUkMwQwAANJHcgcAXOqDDz6QJM2ZM8fhSAAAcC+Px6Ply5fr4sWLTocCALaZd+mT3AEAAOkiuQMALmVezbdw4UKHIwEAwN2WL1/OnTsA8grJHQAAkCmSOwDgUleuXJFEcgcAgGSWLVvGnDsA8grJHQAAkCmSOwDgUu+9955mzJihWbNmOR0KAACutnLlSr366qtOhwEAtpnJHebXBAAA6SK5AwAu9d5773GwBwCADcuXL1coFLKGNAUAtxsbG9OcOXM0b948p0MBAAB5iuQOALjUlStXONgDAMCG5cuXSxLz7gDIG+FwmCHZAABARkjuAIBLjY2Nae7cuU6HAQCA6y1btkwej4d5dwDkjdHRUZI7AAAgIyR3AMClPvjgAw74AACwYd68eVq8eLEuXrzodCgAYAt37gAAgEyR3AEAl/rwww81Z84cp8MAACAvLF++nGHZAOSNcDjM/JoAACAjJHcAwKXC4bAWLFjgdBgAAOQFkjsA8gl37gAAgEyR3AEAl7py5YoWLlzodBgAAOSFFStWkNwBkDfC4bCKi4udDgMAAOQxkjsA4FLvv/++5s6d63QYAADkheXLl+vSpUv6+OOPnQ4FAJIaGxvjzh0AAJARkjsA4FLvvfeerrnmGqfDAAAgLyxfvlxXr17VG2+8IUn6+OOPNTg4qF/96lcORwYAEzEsGwAAyNQspwMAAEiXLl3Sd7/7XZWUlOiaa67R7Nmz9fLLL6ukpEStra2aPXu2rrnmGhUVFemrX/2q0+ECAOA4wzD0xhtvaHBwUJcuXdLLL7+sm266Sdu2bdPbb7+td955x7qLxzAMh6MFgGgkdwAAQKZI7gCAC5w7d07PPPOMZs6cqZkzZ8rj8UgaT/p85zvf0SeffGKdoHrzzTe1ePFiJ8MFAMBxf/u3f6uGhgZJ0owZMzR79mx9/PHHunTpUtR6X/ziFx2IDgAmR3IHAABkiuQOALjAPffco/nz5+vy5cuTzhWwdOlSffazn53CyAAAcKdbb73V+v8nn3yiDz/8cMI6c+fO1Ve+8pWpDAsAbAmHwyoqKnI6DAAAkMeYcwcAXGDevHm67777NHPmzITrzJo1S/X19dZdPQAATGf33XefvvSlL2nWrMTXq125ckXr1q2bwqgAILmPPvpI77//PnfuAACAjJDcAQCX+NrXvjbpnACGYeib3/zm1AUEAIDLNTU16aOPPkr4umEY2rBhwxRGBADJjY2NSRLJHQAAkBGSOwDgEl6vN+Frs2bN0h/90R+prKxsCiMCAMDdNm/erNtvvz3hna9lZWVatGjRFEcFAJMLh8OSSO4AAIDMkNwBAJe47rrrtGHDhrjDrn300UfatWuXA1EBAOBuTU1NceermzlzpjZu3OhARAAwOZI7AAAgG0juAICL/Mmf/Encq48XLVqkr371qw5EBACAu91///0qLy+f0H7OmDFDd955p0NRAUBio6OjkkjuAACAzJDcAQAX8fl8E+YOmD17tr797W9rxgx+sgEAiGffvn0T7t65evWq1q5d61BEAJCYeedOUVGRw5EAAIB8xplCAHCRFStWaPXq1VHLPvroI33rW99yKCIAANzv/vvv1xe+8IWou3dmzpypL37xiw5GBQDxhcNheTwekjsAACAjJHcAwGW2bt2qOXPmSBo/MXXvvfdq6dKlDkcFAIB7eTyeCXPvfP7zn9eCBQscjAoA4guHwwzJBgAAMkZyBwBcxufz6cqVK5KkTz75RN/+9rcdjggAAPfzer269dZbNXPmTM2ePVsbN250OiQAiGtsbEzFxcVOhwEAAPIcyR0AcJk//MM/VGlpqSSppKREXq/X4YgAAHC/yLt3mG8HgJtx5w4AAMgGkjsA4DIej0d//Md/LEmqq6uzhmgDAACTe+CBB6z/b9iwwcFIACAxkjsAACAbZjkdAApPIBDQ//t//8/pMICC8KMf/Ug/+tGPnA4DyEtnz57N2ZX7L7zwgtatW5eTsgFkxy233OJ0CABS9Nhjj2nfvn1Oh5Fz4XBYRUVFTocBAADyHMkdZN3rr7+u2bNnq62tzelQgLx0+vRpPfXUU2ptbVVJSYnT4bjaU089JUl6+OGHHY4EbrNt2zZdvHgxZ8mdixcvSpKeeeaZnJQPIPe2bdumhx9+mLl5kjD7JfzeIddqamr0+uuvOx3GlODOHQAAkA0kd5ATW7du1datW50OA8hLV69elSTt3LnT4Ujc72c/+5kk8XsDx/DdA/LbunXr+DtOwuyXsJ2Qa2a/bjoYGxvTjTfe6HQYAAAgzzHnDgAAAAAAwBThzh0AAJANJHcAAAAAAACmCMkdAACQDSR3AAAAAAAApgjJHQAAkA0kdwAAAAAAAKZIOBxWUVGR02EAAIA8R3IHAAAAAABgioyOjnLnDgAAyBjJHQAoYI2NjWpsbHQ6DNcKhUJqaWlxOgzE0dLSotHRUafDAICkaGsnR1s7PdBu2xcOhyWJ5A4AAMgYyR0AQM6Mjo7K4/E4HUZcoVBIjz/+uLxer7Wso6NDPp9PHo9H9fX1CoVCKZc7NDSk+vp6q4wTJ04kfc+hQ4fS3k5TXd/o6Kj6+vp06NAh+Xy+jGIKBoPW9vb5fOro6LBeu/fee1VbW5vWPgCA6WQ6trXS5G1IKuy0WaFQSI2NjfJ4PPJ4PGnX5UR9tNvuMzY2JonkDgAAyAIDyLLq6mqjurra6TCAvNXW1mYUys9zZ2dnTj9Lur83IyMjhtfrNXp7e61lra2tRldXl/W8vb3d8Hq9Rn9/f0rldnZ2Wv9vb283JFnL4unv7zckpbWdpro+wzCMQCBgBAKBhGXYjam5udmQZG1fM67m5mZrnd7eXsPr9RojIyMpxynJaGtrS/l9dhXS3ykwXeX6d2Kq5LqtTff3LldtrWHYa0PsxpiszRoeHo76DOY6qdblRH2GkT/ttmFMn+PIX//614Yk46WXXnI6FACYgOMcIL/w14qsmy6dciBXCqUzZZ7UcWNyp7m52QgEAlHLJBnt7e0Tlnm9XtvlxkuqTJZIGRkZmfSEi9vqs1OP3ZgSLYvd3n6/P60TWiR3ACRTCMmdqWhr0/29y1Vba77HThuSjJ02KzLRMln9bqzPThluabcNY/ocR/b19RmSjMHBQadDAYAJOM4B8gvDsgFAgQqFQtbQJ/GeB4NBa1iNoaEhax1zyA3p0+G76uvrdeHCBatsc5iQyGFgYpc1NzcrGAxGvSY5PzdBKBRSQ0OD7r777qjlra2tOnbs2IT1Fy9ebLvsyGFnIvn9/rjLDx8+rIceesh2+U7XZ4fdmJqbmyVJfX19kmR9B5uamqLW27p1qxoaGhjmBYAr0dbGl8u2VrLfhiRjp81av3591GvmvDKBQCClupyoL1sxSbTb2cScOwAAIFtmOR0AACA36urqrBM+sc/7+vrk9Xo1ODiopUuXavHixTpw4IDKysqs9fv6+rRz505t27ZN3/ve97R69WqdP39eq1at0vDwcNS6kqyyTE1NTdq3b58kyTCMXH7UlJw9e1aStHLlyqjlO3fu1M6dO63n5gm2RIkSO8wTMlu2bJnw2okTJ/TlL39ZpaWlaZfvdH2ZxLR7926NjIxow4YN6u3t1aVLlzQ8PDwhPnM/nT17NuEJKABwCm1tfLlua+22IamarB2VxhMahw4dkiTV1tZmVJcT9WUSE+129pjJnaKiIocjAQAA+Y47dwCgQHV2diZ8bl4VumTJEknSwYMHJUWfGDLXKS4utk66mCes4p08MctKpqmpKeUra7PphRdekJQ83qNHj6q/v1/l5eVp1/Xiiy/K6/WqoqIiankoFNKrr7464ercTE11fZnEJI1/F/x+vzZs2KBz585p7ty5E9YpLi6WpKir2QHALWhr45uKttZOG5KqydqsoaEhLV261EqmRSb18qW+TGOi3c6OcDishQsXaubMmU6HAgAA8hzJHQBAUuZJl4aGBocjyZx5kmQyJ06c0IMPPphRYkeSnnzySe3Zs8c60WF67rnnoq5czpapri+TmCSppaVFlZWVGhkZkTR+VbJ5xbDJfF8hfPcAYDK0tamx04akarI2a8mSJTIMQ/39/QoEAmpoaLDuqsmX+jKNiXY7O8bGxhiSDQAAZAXJHQAAYixYsCDjxE5HR4e8Xu+Eu2WCwaDuu+++jMp2Q32ZxGS+1tDQoM2bN6u4uFi1tbUKBoN65plnHIgUADDVMmlrc9GGTNZmRSovL7eGSNu1a1fe1JdpTLTb2RMOh0nuAACArCC5AwCwLZP5Z/JFR0dHxsOXDQwM6Ny5c3HvlvH5fFq6dGnCibLzob5MY5KkHTt2SPr0Cl9zXolcn7gCALejrU0u221IsjYr1qpVq9Kqx6n67KDdnjokdwAAQLaQ3AEAJGWOm55owt980tzcLEkJh27Zvn17RuWHQiEdP348aq6DgYEB1dfXSxqfayH2YUpnMuypri8bMUmaMMmyebIo0eTLgUAgB5ECgHvQ1tqXahsyGTttVizzc7W3t7u+vmzFRLudPeFwWEVFRU6HAQAACgDJHQAoUKFQKOr/kc/NkwSRJ10iX5fGr6o11zl69Ki8Xm/UAbx5ZbF5Mqqvr896zTwZYK4fCoXU0tIiSWpsbFRjY2OGny595tWviU44JYqvpaVFHo9HAwMDCcsOhUKqq6tTQ0ND1J0yt912W8on69xYnyly28VuR7sxPfLII5I+/Z6Z3x9zuWloaEiStHbt2pQ+DwBMBdra+HLZ1kr22pBstaM+n08tLS1WezQ6Oqrm5mYFAoGoJJUb6zPRbrsLd+4AAIBsIbkDAAXKHC7D/H/k85KSkqh/Y9eXpDVr1sjn86mkpERLlizR0aNHo15/9NFH5fV6tXr1agWDQa1fv15er1ft7e3au3evJFlXgD799NPWePFOW7dunSTp7bffTul9IyMj8vv9k54se/zxxxUMBuO+tnr16ryvTxofyi3ye1NSUhI1vJvdmKqqqtTV1aXu7m55PB4dOXJEXV1dqqqqinqPuZ/M/QYAbkJbG18u21rJXhuSrXZ0586damhosIY4PXz4sO6///6ou1zcWp9Eu+1GJHcAAEC2eIxcjcmCaaumpkaS1NbW5nAkQH46duyYampqcjZkVjLmAX8+NA/p/t6YVzbv3r075Tp9Pp86OztTfl+6Cr2+ZBobG1VSUpLyvvJ4PGpra1N1dXVO4nL67xRA5nL9O5Gsbik/2tp0f+/c0tYWejtaKO22NH2OIysqKlReXq6nn37a6VAAYAKOc4D8wp07AIBpp66uTt3d3VHD29jR19enPXv25Ciq6VdfMgMDAxoYGFBdXZ3ToQAAUuSGtrbQ21Ha7fzEnTsAACBbSO7A9UKhkDo6OuTz+axlTo8jHitejHC/TPdbIe732LkDClVxcbEOHz6s/fv32xqrXpJOnDih6667TuvXr89xdNOjvmQuXLiggwcP6vDhw9akzXBGIf7WAU6irU0sm21RobejtNv5i+QOAADIFpI7cL3HH39cO3bsSDgWtBvkQ4zZNDQ0pPr6enk8HtXX1+vEiRMplxE5YWvkYyplut8Kcb/Hzh1QyEpLS3X06FEdP37c1vpVVVXWBNFTodDrSyYYDGrv3r0qLS11OpRpL53futHR0Sn/Tc9G2xSrr69PjY2NVhvV2NiogYEBhUKhKf98pnTaz76+vgnbJnYfJSrX7mOyuzP6+vrixptsn01WX0tLi4LB4ITJ4fMBbW1i2WyLCr0dpd3OXyR3AABAtpDcgesdOHBgwrKmpqYJk4o6KV6MhWp0dFQDAwM6cOCARkZGVFlZqXvuuSflBIdhGBoeHraej4yMTPmYrpnut0Lc74ZhRD0KXXFxcVpjwiP3du/ezQkil0jnt66npycHkSSWrbYpUmNjo44cOaLa2lrrN/Ghhx7S0NCQoyfkU20/+/r6tGHDBlVWVsowDB04cEDXX3+9amtrJ6zb3t4etw2IXNbe3m4tGxwctNY5cuRIwhgiXxseHpZhGLb2WaLPahiG7r33Xh06dEi1tbV5d/cLbS0KEe22fSR3AABAtpDcAZCSnp4eeb1eSeMH69u3b5ektIbriTwAZPgGACgMo6OjOnTo0JTWmc22SZJ1h86BAweirowvLS2V1+tVb29v5kFnIJX200ysmNtEksrLy+NeJBO5TiKbN2+2/r9kyRJJUnNzsw4ePKihoaEJ6w8NDWnlypUTYre7zxJ91vLych0+fFjS+Nwu+XgHD4Dp5/Lly7p69SrJHQAAkBUkd+AaLS0t8ng8OnTo0KTDnSQa+390dFQdHR3WcB3xTiyFQiGrHp/Pl/aQLZF1+Xw+XbhwIWGsk9VnJ+Z468SO1R65PYLBoFXf0NBQwqFQpE+3ucfjiXtCJh7zREwsv98f9Tzb8yKZJwsjh8Yxt0OibVBfX299LnMbRi6LFLmvEq1jZ79PFicA5OPvfiKJ2u3m5mbr7guzrmz8Tk8mm21TX1+f9u3bN+kk5fHmuHDrfnvrrbckacKcJ+Xl5VHPI+/CmUxxcfGEde+9915J0pkzZyasf+bMGev1SHb32WRKS0v1yCOPKBgMTvndYgCQjrGxMUkiuQMAALLDALKsurraqK6uTuk9zc3NxuDgoGEYhjEyMmIEAgEj8uspyXru9Xqjnpu8Xq8RCASs536/P+r58PCw4fV6jfb2dsMwDKOrq8uQZPT396f2Af+vLr/fb4yMjBiGYRjt7e0TYrJTX7KYzXVaW1ujyvR6vVbdkdujt7fXMAzDGBwcNCQZfr8/qu7YssRbd0QAACAASURBVA3DMAKBQFrbwDQyMmJIMjo7OyeUG6++WPH2ZTx+v9+QZAwPD0/4fJHbwPwsvb291jqJtktk/eY65jY264pkZ79PFqddbW1ttrYJ0vu9wfQgyWhra8tZ+en+nebr737sb10q7XZszKn+Tqcjk7bJ/CyxbUAyU73f7Laf/f391rqtra1WPHbYqcN83Wz/YpmfLVlZifZZsvea70vnO5Pr34lCQb8EU2U69OteeeUVQ5Lxi1/8wulQACAu2n0gv/DXiqxLp1MeexJleHh40pNEsc/Nk+yRZfT29hper3fCOrH12klAROrs7DQkGefPn7eWmScW4sWUqD47MZsneWLXkWQljcxy49UVucw8WRV5Usc8IZeJrq6uqJNXqbJ7cioQCMRNykxWjp1l8dY5f/68dRLMZHe/J4vTDjpT9k2HkwBIjxuTO/n8ux/vtzOVdjvTZanKpG1Kp34n9lsqcZ4/f95Kvpgx2dk2qSR3zG1gJq4MYzyx1NXVZausyfZZsvem+50huWMP/RJMlenQr3vxxRcNScbFixedDgUA4qLdB/LLLAEu4Pf7VVZWpvb2dm3evFmlpaUpTTB77NgxSdHjsq9fv16dnZ0T1okd7m3fvn1xx51P5N///d8lKWoM/njj3Serz07Mzz777IR11qxZY5VvZ2x804MPPqh9+/bp+eeft9734osv6sEHH7RdRjxPPvmk9uzZk/M5c8x9NDQ0ZG2XXDH37a5du7Rz505J9vd7NuPM9ecsBObwRGwr5INC+d2XMm+3c22q2iaT2/fbqlWrdODAAX3jG9/QkSNHtGPHDklSZ2dnwuHRUlVVVSVpfI4fc9i6n/70p7b7WFO9z0xnz57V7Nmzp7TOfHP27FlJtLXIvaGhIWsur0IVDoclMSwbAADIEqezSyg86Vxxdf78+ajhSpqbm6Nelya/2yL2eTx21rEjUTmpxpRJzHbqirfMHCLGlOldO+3t7VF3t6Qjlf3S2tpqeL1e686adLaB3f2U7nrJ4rTDvFKGBw8emT3cdueOGVc668Quj7devGXZ+t2PLTvVdjvTZanItG0y73DJxvBludxvmWwn844xKf4waKnUEfm6eXfa4OCgMTw8nPSupcj3TbbPJnuveRdtJnek8eDBwz2PQr9z57nnnjMkGZcvX3Y6FACIizt3gPwyQ4ALrFq1Sp2dnerv75ff71dDQ4NaWlpsv9+86jR2suB4Lly4kHac6UhUn52YzXUiJ2Q2pTLhsKm6ulrBYFB9fX0aGhrS2rVrUy7DNDAwoHPnzll3tuRKfX29pPGJtnft2qUf//jHUXfP5FI62zibcRrjQ2fymORRXV2t6upqx+Pg4b6HG+X7736kTNvtXMlG27RlyxZJ0qVLl2y/x437zWw/PR6PRkdHo15bv369fvzjH0uSfD5fymUncuedd0qSzpw5oxMnTljPJ5PpPnvxxRclSXfffXda729ra3P898rtj7a2Nkn0S3jk/lFdXZ3W33E+CYfDmjNnjubNm+d0KAAAoACQ3IErmCceysvLdeDAAfX396uhocH2+82TKgcPHrROYAwNDVknNiSptbVVknT06FFrnVAolPLJKLOcZImkZPXZidk8wHnttdesZea6W7duTSluKXrIlDNnzqiioiLlMqTxz3H8+PGooVYGBgaiYs+Gvr4+VVZWSpI1hMxUDNVg7luzbsn+fp/KOAHkl3z+3Y+VabudC9lqm7xer7xerw4ePJhwnaGhoaj+g9v2W2T7KX2aAIlktlPZGpbNLDMQCGjHjh166623kraFme6zUCikJ598Ul6v19pmAOBmY2NjDMkGAACyxwCyLJ1h2aTx4TQGBwcNwzCMwcFBa4gXc5JmaXyi4tjn5jqRw8NIMvx+v3H+/Hmrjsj3RT7MOu0aHBw0JBler9d6rzmJsFmvnfrsxDwyMmINzWJ+1vb2dquO2HrMIWTMIUoit5HJnKg5dggdu+LFbT4ih3YJBAJJh0iJjD2WORF1f3+/YRiGVefg4GDUcGex3wlzGyT6nsQuM8s1J3w2P1/s9rG73yeL0y5ug7ZvOky8i/RI7huWLZ9/92PLnqzdNoxPfwuHh4eN5ubmjH6n7caYrbYpsrzY/WN+1sj9YxhTv99SaT/N9bq6uqLqNYdQM9ebrI5E+8JcJ/L1/v7+CeXa7bvF22eR2yhyqLz+/v4J2zxVuf6dKBT0SzBVpkO/7gc/+IGxfPlyp8MAgIRo94H8wl8rsi7d5I55Aij2REa8g/7Ih2l4eNg6ERIIBCacjDGM8RMy5jp+vz/lxE5kOeaY/H6/3zpB0d7eHnWCIVl9dmIeHh42Wltbrc/b3t4edXIj3vZItI0M49OTLvHqssP83PEekWUmO4GWbL/Gnsgx4w4EAtZ2M7ep3W2QaLt0dXVZJ5j8fr+V6IllZ79PFqdddKbsmw4nAZAeNyZ3DCM/f/cT1Zeo3Y6s0/wtzPR3OplstU2RRkZGjM7OzqiyvV6v0draGvc3far2W6rtp1nu+fPno+JL9P2brI5k65gik1qJyrKzzyb7fM3NzUZvb+/kOzGJXP9OFAr6JZgq06Ff9+ijjxq33Xab02EAQEK0+0B+8RiGYQjIopqaGkmyxucGkJpjx46ppqZG/Dwnx+8NEvF4PGpra8vZ+P38nQL5L9e/E4WC3ztMlenQr/vOd76jl156ST09PU6HAgBx0e4D+YU5dwAAAAAAAHIsHA4z5w4AAMgakjsAAAAAAAA5Fg6HVVxc7HQYAACgQJDcATQ+LIedRyFjG2A6CoVCamlpcToMxNHS0qLR0VGnwyho+fC7nw8xAsgO2mT3ok3OnrGxMe7cAQAAWUNyB5BkGIatRyFjG8A0Ojqa05OluS7frlAopMcff1xer9da1tHRIZ/PJ4/Ho/r6eoVCoZTLHRoaUn19vVXGiRMn4tbd2NhonZju6OhI+3NMdX2jo6Pq6+vToUOH5PP50o5JkoLBoLW9fT5fVFz33nuvamtr09oHsCcffvfzIUYgHdOlrbWLNjk9tMn5h2HZAABANpHcAQBEyfUEr26YQHZ0dFR1dXX6xje+oVWrVkmSDh06pNLSUnV2dsowDFVWVqqurk4DAwMplTswMKADBw5oZGRElZWVuueeexQMBq11QqGQXnvtNTU1NckwDLW3t2vHjh1pXa081fVJUnNzs37+859r165dUfWkEpM0fhWwz+ez4mpqaoqKq7y8XHv27FFdXR1XCwMoONOhrbWLNpk2eTohuQMAALLKALKsurraqK6udjoMIG+1tbUZTv08j4yMGF6vN2f1Z7v8dH9vmpubjUAgELVMktHe3j5hmdfrtV1uZ2fnhGWSoj5vb29v0nXcWp+dMuzENNmy2O3t9/uN5ubmtOJra2tL+X12Ofl3CiA7cv07kUi+tbW5/r2jTS78Ntmu6XAcuWjRIuOpp55yOgwASIjjHCC/cOcOABSI0dFRdXR0WMN8HDp0KGr4jHjzU8Qua25utq7mNJeHQiFrqA5p/Gpac2iPCxcuZFy+JDU2NqqxsTEXm2WCUCikhoYG3X333VHLW1tbdezYsQnrL1682HbZkcPJRPL7/db/169fH/WaeQVsIBCwXY9T9WUrJmn8uyBJfX19ksaHjZGkpqamqPW2bt2qhoYGhoIB4Aq0tdlFm0ybPN2Ew2EVFRU5HQYAACgQJHcAoEDU1tZqbGxMhmFoeHhYwWAwaviM4eHhCe8ZHByMeh55EG/831wWZWVl8vl8CgaD6uvr086dOzUyMiJJWr16tXXSKd3yp9rZs2clSStXroxavnPnTnV2dlrPzc8VewIkFea237JlS9zXh4aGrBMqtbW1adfjVH2ZxLR7924FAgFt2LBBfX19OnPmjIaHh1VeXh61nrmfzP0GAE6irc0u2mTa5Onko48+0vvvv8+wbAAAIGtI7gBAAThx4oSCwaAeeOABSVJpaan27NmjYDCo559/3loWa8mSJUnLjjwpZF5xWlxcbJ1gMa8OTrd8afxEVOzVobnywgsvSEoe29GjR9Xf3z/hxEYqXnzxRXm9XlVUVEx4bWhoSEuXLtW+ffskKe5Y+W6vL9OYmpqa5Pf7tWHDBp07d05z586dsE5xcbEkRV25DgBOoK3NPtpk2uTpZGxsTJJI7gAAgKwhuQMABeDZZ5+VFH3SZ82aNZIUd1iTbDBPsDQ0NOSk/FwxT6RM5sSJE3rwwQczOokkSU8++aT27NljnQyJtGTJEhmGof7+fgUCATU0NOjQoUN5VV+mMbW0tKiystK6Or22tnbCRM3m+/Ltewag8NDWZh9tMm3ydBIOhyWR3AEAANlDcgcACsDBgwcnLDMPwKfqatBCsmDBgoxPInV0dMjr9U4YXz9WeXm5NRzLrl278qa+TGPq6OhQQ0ODNm/erOLiYtXW1ioYDOqZZ57JaUwAkC7aWmfQJmcHbbLzSO4AAIBsI7kDAAXAnDA33gS3mYxPb0euy59qHR0dSU/GJDMwMKBz585p586dttZftWpVXtVnR7KYduzYIenTE6NlZWWScn9yCwDSRVs79WiTs4M22R3MO6FI7gAAgGwhuQMABaC6ulqS9Nprr1nLzAPIrVu35qROc7z1RBMFu5U5eXHsUCOm7du3Z1R+KBTS8ePHo+Y1GBgYUH19fcL3mLG0t7e7vr5sxWSeJDWZJ5Ril5sCgUAOIgUA+2hrs482mTZ5OjHv3CkqKnI4EgAAUChI7gBAAdi8ebO8Xq/2799vXVH8/PPPy+/3q6qqylrPvPLXPFnU19dnvWYe5EdemdzS0hJVT0dHh6TxExFHjx6V1+uNOvBPt/zGxkY1NjamvwFSYF4hm+hEUqJYWlpa5PF4NDAwkLDsUCikuro6NTQ0yOPxWI/bbrvNOjHn8/nU0tKioaEhK47m5mYFAoGok1hurM8Uue1it6OdmCTpkUcekfTpd8r8rpjLTWbca9euTRoXAOQSbW320SbTJk8n4XBYHo+H5A4AAMgakjsAUACKi4t1+PBheb1elZWVyePxSJKeeOKJqPUeffRReb1erV69WsFgUOvXr5fX61V7e7v27t0rSdaVnU8//bQ1DrxpzZo18vl8Kikp0ZIlS3T06NGslj8V1q1bJ0l6++23U3rfyMiI/H7/pCfGHn/88YTzLqxevVqStHPnTjU0NGjp0qXyeDw6fPiw7r///qgrat1anyR5PB6VlJRYz0tKSqzvm92YJKmqqkpdXV3q7u6Wx+PRkSNH1NXVFXWCVPp0P5n7DQCcQlubfbTJtMnTSTgcZkg2AACQVR7DMAyng0BhqampkSS1tbU5HAmQn44dO6aamhq56efZPFHgppik9H9vzKuYd+/enXKdPp9PnZ2dKb8vXYVeXzKNjY0qKSlJeV95PB61tbVZwyhlmxv/TgGkJte/E6lya1ub69872mT31JdMum2yXYV+HNnS0qKnnnpKg4ODTocCAAlxnAPkF+7cAQBMO3V1deru7o4aysaOvr4+7dmzJ0dRTb/6khkYGNDAwIDq6uqcDgUAkCO0ye6oLxna5Mxx5w4AAMg2kjsAgEmZ8wrE/j+fmUPr7N+/39Z49pJ04sQJXXfddVq/fn2Oo5se9SVz4cIFHTx4UIcPH7YmdgaAQlWIba1dtMnO15cMbXJ2kNwBAADZNsvpAAAA7lZWVhb1/0K5Pbu0tFRHjx7V4cOHVV5ennT92HHnc63Q60smGAxq7969Ki0tdToUAMi5Qm1r7aJNdra+ZGiTsyMcDquoqMjpMAAAQAEhuQMAmFQhn2AqLi7O2bjxyAz7BcB0UshtrV20ye7FfskO7twBAADZxrBsAAAAAAAAOTQ2NkZyBwAAZBXJHQAAAAAAgBzizh0AAJBtJHcAAAAAAAByiOQOAADINpI7AAAAAAAAOURyBwAAZNsspwNAYTp27JiuXr3qdBhAXhoaGpIkbdu2zeFI3O/s2bOS8m9bvffee3rzzTf1e7/3e7ruuuvk8XicDglpyrfvHoBoTz31lH72s585HYar0S/BVHn22WdVXV3tdBg5Ew6HVVRU5HQYAACggJDcQdZt376dxA6QgSVLlmjJkiVOh5EX1q1b53QIaXn33Xd14cIFvfTSS5o1a5auv/563XDDDbrhhht03XXXacYMbqzN1Pbt21VVVZWz8quqqrR9+3Z9/PHHOasDgD2XLl3SpUuXdNddd6X0vq1bt+YmoAJDvwRTZevWrdq+fbvTYeTM6Ogod+4AAICsIrmDrPN6vfJ6vU6HAQCu9/LLL6unp0enTp1Sd3e3fvWrX2n+/Plau3atKisrVVFRofXr12vhwoVOh4oYixYtUnt7u9NhAJD0Z3/2ZyoqKtIzzzzjdCgAEFc4HJYkkjsAACCrSO4AAOCQNWvWaM2aNfr2t78tSXr11VetRE9bW5v+5m/+RrNnz9Ydd9yhiooKbdq0SRs3buTEAABE6O7u1l/8xV84HQYAJDQ2NiaJ5A4AAMgukjsAALjEihUrtGLFCn3zm9+UJL355pvq7u7WqVOn9Nxzz+mJJ57QzJkzdfvtt2vTpk2qrKzUxo0bdf311zsbOAA45PXXX9fQ0JAqKyudDgUAEuLOHQAAkAskdwAAcKkbb7xRNTU1qqmpkSQNDw/r1KlT6unpUVdXl/7+7/9ehmHo1ltvVWVlpTZt2qSKigotWrTI4cgBYGp0d3dr3rx5eTsHG4DpwUzuFBcXOxwJAAAoJCR3AADIE2VlZXrwwQf14IMPSpJ+97vfWcO4nTp1SgcPHtRHH32kW265xUr0VFZW6nOf+5zDkQNAbnR3d2vdunWaN2+e06EAQELcuQMAAHKB5A4AAHnq2muvlc/nk8/nkzQ+nvvp06etu3uOHDmiK1eu6KabblJlZaV1d8/KlSsdjhwAsqO7u1u1tbVOhwEAkzKTO0VFRQ5HAgAACgnJHQAACkRRUZE2b96szZs3S5IuX76s3t5e9fT0qKenR3/1V3+ly5cv67Of/azuuusu6+6eNWvWyOPxOBw9AKRmaGhIr7/+OvPtAHC9cDishQsXaubMmU6HAgAACgjJHQAACtT8+fNVVVWlqqoqSdKVK1f0wgsvWMmev/7rv9bY2JhuuOEGVVRUWI8vfOELmjFjhsPRA8Dkuru7NWfOHG3YsMHpUABgUmNjYwzJBgAAso7kDgAA08ScOXO0ceNGbdy4UXv27NFHH32kX/7yl+ru7lZPT4++//3v63e/+51KSkqsu3oqKir0xS9+UbNm0WUA4C49PT1au3at5s+f73QoADCpcDhMcgcAAGQdl+UCADBNzZo1S3fccYcaGhrU2dmp//7v/1Z/f7/27t2rOXPm6Ec/+pHWrVuna6+9Vvfdd5/279+v06dP68MPP3Q6dADQyZMnGZINQF4guQMAAHKBy3ABAIAkacaMGSovL1d5ebkefvhhSdLLL7+s7u5unTp1Sj/5yU/02GOPaf78+Vq3bp0qKytVUVGh9evXa8GCBQ5HD2A6efvtt3Xx4kWSOwDyAskdAACQCyR3AABAQmvWrNGaNWvk9/slSa+++qp6enrU3d2tf/7nf9bevXs1e/Zs3XHHHaqsrNSmTZu0ceNGFRUVORw5gEJ28uRJzZ49W3feeafToQBAUuFwmL4RAADIOpI7AADAthUrVmjFihX61re+JUl688031d3dre7ubv3bv/2bfvCDH2jmzJm6/fbbVVFRocrKSm3cuFHXXXedw5EDKCQ9PT360pe+pIULFzodCgAkFQ6Hdf311zsdBgAAKDAkdwAAQNpuvPFG1dTUqKamRpI0PDysnp4e9fT06D//8z/15JNPSpJ+//d/X5WVldbdPWVlZU6GDSDPdXd362tf+5rTYQCALeFwWMuWLXM6DAAAUGBI7gAAgKwpKyvT1q1btXXrVknS//7v/+r06dM6efKkTp06pQMHDujjjz/WLbfcooqKCuvunhtvvNHhyAHki3feeUe/+c1vVFFR4XQoAGALc+4AAIBcILkDAABy5rrrrpPP55PP55MkjY2N6fTp09bdPf/0T/+kq1evatmyZaqoqNBdd92lTZs2acWKFQ5HDsCtenp6NHPmTG3cuNHpUADAFpI7AAAgF0juAACAKVNUVKTNmzdr8+bNkqT3339ffX196unp0cmTJ/WXf/mXunz5shYvXqzKykrr7p41a9Y4HDkAtzh58qS+9KUvMTk5gLxBcgcAAOQCyR0AAOCYBQsWqKqqSlVVVZKkDz/8UP/1X/+l7u5u9fT0qKGhQe+++65KS0u1adMm6+6eW2+9VTNmzHA4egBO6OnpsRLEAJAPSO4AAIBcILkDAABcY+7cudq4caM2btyoxx57TB999JF+8YtfqKenR93d3Xr88cc1MjKia6+9Vhs3brTu7rn99ts1axbdGqDQ/fa3v9Wvf/1r/fCHP3Q6FACw5fLly7p69SrJHQAAkHWcBQEAAK41a9YsrV27VmvXrlVDQ4M++eQTvfTSS1ay54c//KEaGhpUVFSkO++8UxUVFaqsrNQdd9yhOXPmOB0+gCzr7u7WjBkz9OUvf9npUADAlrGxMUkiuQMAALKO5A4AAMgbM2bM0G233abbbrtNDz/8sAzD0Msvv6yenh719PToH/7hH/TYY49p/vz5Wr9+vZXsWb9+vebPn+90+AAy1NPTo/LycpWUlDgdCgDYEg6HJZHcAQAA2UdyBwAA5C2Px6PPf/7z+vznPy+/3y9Junjxok6dOqWTJ0/qyJEj2rt3r+bMmaM77rhDFRUVqqio0Je//GUmYwfy0MmTJ/WVr3zF6TAAwDaSOwAAIFdI7gAAgIKycuVKrVy5Ut/61rckSW+88Ya6u7vV09Ojf/3Xf9UPfvADzZo1S7fffrs2bdqku+66Sxs3btS1117rcOQAJvM///M/OnfunJqampwOBQBsI7kDAAByheQOAAAoaJ/73Of09a9/XV//+tclSe+88456enp06tQp/cd//If+7u/+Th6PR7feeqsqKyutu3tKS0sdjhxApFOnTkmSKioqHI4EAOwzkzvcMQwAALKN5A4AAJhWFi1apG3btmnbtm2Sxu8GOH36tHV3z09+8hN9/PHHWrNmjSoqKqy7exYvXuxw5MD0dvLkSf3BH/wBd9kByCvhcFhz5szRvHnznA4FAAAUGJI7AABgWrv++uv1wAMP6IEHHpA0fhLm9OnTOnXqlLq7u/WP//iPunr1qlasWKFNmzZZd/csX77c4ciB6aWnp0eVlZVOhwEAKRkbG2NINgAAkBMkdwAAACJ85jOf0ZYtW7RlyxZJ0nvvvae+vj719PSou7tbHR0d+uCDD3TjjTeqsrLSSvjccsstDkcOFK6RkRENDAyosbHR6VAAICWjo6MkdwAAQE6Q3AEAAJjEwoULdc899+iee+6RJH344Yd64YUX1N3drVOnTmn37t167733VFZWpk2bNqmiokKVlZW69dZbNWPGDIejBwrDqVOnZBjG/2fv/qPbqu/7j78u+dVD5srQRDa4JFtLk6ZwZtodwDklCTh0HJJzle4cAol93K5ndmadFQqN2wOZ1DSzCewcq2WFLj6xT1vqOdZIfxysrrRbMI3paRxWWNSVs1P3NIu1FbCAYUkrocuP+/0j33uR/FOSLV3Jfj7O0UG6Pz7vt/S5DvJ9+/P5aNOmTW6nAgA5SSaTFHcAAEBBUNwBAADIwYoVK7Rp0ybnJvP58+f185//XM8//7yGhob0pS99SePj47ryyit1yy23OKN7Pvaxj2nJkiUuZw+Up6GhIV1//fVatWqV26kAQE4o7gAAgEKhuAMAADAHS5cuVV1dnerq6vSFL3xBFy5c0C9+8QsNDQ1paGhIjzzyiPbu3auKigrdcsstzuieG2+8UcuXL3c7faAs/OQnP9HmzZvdTgMAcpZMJlVRUeF2GgAAYAFirhAAAIB5tGTJEn30ox/V5z73OX33u99VPB7XL3/5S/3t3/6tPB6PnnjiCd1yyy264oortHXrVh04cEDPPfeczp4963bqQElKJpP6t3/7N4o7AMpSMpmUx+NxOw0AALAAMXIHAACggAzD0HXXXafrrrtOfr9fkvTrX//aGdnzrW99S1/+8pe1YsUK3Xjjjdq8ebM2b96sj3/84/qDP/gDl7MH3PfTn/5UFy5c0K233up2KgCQs1QqpauuusrtNAAAwAJEcQcAAKDIPvShD+lDH/qQ/uIv/kKSNDo66hR7vvvd7+rgwYNaunSpPvaxjznFHnu0D7DYHD9+XBs2bJDX63U7FQDIGWvuAACAQqG4AwAA4LK1a9eqqalJTU1NkqRXX31VQ0NDev755/WjH/1IoVBIhmHoj//4j51iz6ZNm7jZjQVnaGhIv/jFL7RlyxZdf/31MgxDQ0ND2rJli9upAUBeKO4AAIBCobgDAABQYq666irdc889uueeeyRJb7zxhn7605/q+PHjGhoa0te//nVduHBBH/nIR5xCz5YtW1RTU+Ny5sDcPPjggzpx4oQkyePxaNOmTXrhhRf0yU9+UhcvXtRll7FkKIDyQnEHAAAUimFZluV2EgAAAMheMpnU888/74zu+fnPf65z587p2muvdQo9mzdv1h/90R+5nSqQk9bWVn3jG9/QuXPnJElLliyRYRg6f/68KioqtGnTJm3dulV333233v/+97ucLQDMbuXKlfr617+uP//zP3c7FQCY1ZEjR9TY2ChuFwPlgZE7AAAAZea9732vtm/fru3bt0uSfve73+lnP/uZnn/+eR0/flz9/f165513dM011ziFnk2bNunDH/6wy5kDM6uurs4YnXPhwgXneSqV0o9+9CP98Ic/1H//93/rK1/5ihspAkDWzp8/r7fffpuROwAAoCAo7gAAAJS5lStX6hOf+IQ+8YlPSJJ+//vf6+TJkzp+/Lief/55PfDAA/rd736nqqoqbdmyJ5/XfwAAIABJREFUxRndc9111zHNFUrKVVddlVHQmejixYu6/PLL9fnPf76IWQFAflKplCRR3AEAAAVBcQcAAGCBWbFihTZv3qzNmzdLuvSXw//6r//qTOUWCASUSCT0vve9T7fccotT8PnoRz+qJUuWuJw9FrOqqiqdP39+2v2XXXaZvvKVrzAlG4CykEwmJVHcAQAAhUFxBwAAYIFbunSpNm7cqI0bN+qLX/yiLly4oF/84hc6fvy4jh8/roMHD+qNN95w1jTZtGmTNm/erBtvvFHLli1zO30sIldfffW0+5YtW6abb75Ze/bsKWJGAJA/ijsAAKCQmIcDAABgkVmyZIk++tGP6v7779f3v/99xeNx/fKXv9QjjzyiiooKfe1rX9PHP/5xVVZW6vbbb9ff/M3f6Pjx4zp79mzeMVesWKF169bpP//zP+fxnWChqaqqmnbfkiVL9K1vfUuGYRQxIwDIXyKRkERxBwAAFAbFHQAAgEXOMAxdd911+qu/+iuFw2G98sorGhkZ0d/93d/p6quv1je+8Q3deuutuuKKK7Rp0yYFg0H98z//s/73f/83q/ZfeeUV/d///Z9+/etf6yMf+Ygef/xxXbx4scDvCuWourp6yu2XXXaZHn74YX3wgx8sckYAkD975E5FRYXLmQAAgIWI4g4AAAAm+dCHPqTm5mZ9+9vf1pkzZ3TmzBkdPnxY69ev1z/+4z/qjjvu0BVXXKG6ujp98Ytf1A9+8AONj49P2dbx48ed0RbvvPOO7r//fm3cuFH/8R//Ucy3hDKwYsWKSTdBly1bpj/5kz/R5z73OZeyAoD8JJNJGYZBcQcAABQExR0AAADMau3atfrUpz6lnp4ejYyM6JVXXtE//MM/6GMf+5h++MMfyufz6X3ve58z3dv3vvc9vf7665Kk559/XkuXvrvU48WLF/XSSy+ptrZWHR0dOnfunFtvCyVo9erVk7Z985vf1JIlS1zIBgDyl0wmmZINAAAUDMUdAAAA5Oyqq67SPffco7//+7/XL3/5S8XjcX3nO9/Rli1bNDQ0pLvvvltVVVW67rrrdPTo0UkFnPPnz+vcuXP68pe/rBtuuEEvvfSSS+8EpaampsZ5vmTJEu3fv1/XXXedixkBQH5SqZQ8Ho/baQAAgAWK4g4AAADmbNWqVfqzP/szPfbYY3rppZf05ptvKhKJ6LbbbtMbb7wx7XkXLlzQyMiIbrzxRj344IM6e/ZsEbNGKbrmmmt02WWXaenSpfrwhz+sL37xi26nBAB5YeQOAAAoJIo7AAAAmHcej0fbt29XfX29s97OdM6fP6+LFy8qFArpuuuu09DQUJGyRCmqqqrSxYsXdfHiRX3729/WsmXL3E4JAPJCcQcAABTS0tkPAQAAC9F//dd/aXh42O00sMDZa6WcP39+1mPPnz+vM2fOaMuWLfrABz6ghx9+mHVWFqHf/OY3kqQdO3boN7/5jfMaAOZLXV2drrnmmoLHobgDAAAKieIOAACL1P79+/XNb37T7TSADJZlSZJOnz6t3bt3u5wN3PT9739f3//+991OA8AC9JnPfEbf+MY3Ch4nmUyqoqKi4HEAAMDiRHEHAIBF6ve//70aGhrU19fndipYoC5cuKClSzO/bi5fvlyrV6/W1VdfrWuuuUY1NTWqqqqa9F+v1zvrdG4LlWEY6uvrU0NDg9uplLQjR46osbHRKQgCQDYaGxv1+9//viixUqmU3v/+9xclFgAAWHwo7gAAAKAglixZor6+Pl111VWqrq7WVVddpcrKSrfTAgCgKJiWDQAAFBLFHQAAABQMo08AAIsVxR0AAFBIl7mdAAAAAAAAwEJDcQcAABQSxR0AAAAAAIB5lkwmVVFR4XYaAABggaK4AwAAAAAAMM8SiQQjdwAAQMFQ3AEAAAAAAJhHyWRSkijuAACAgqG4AwAAACxAwWBQwWDQ7TRKimEYGY+pxONxhUKhImeGbIRCISUSiXlrj74uXTP1dTY/x6UglUpJorgDAAAKh+IOAAAAgHmXSCRK9sarZVmyLGvS9ng8rv3798s0TWdbOByWz+eTYRjy+/2Kx+M5x4vFYvL7/U4bg4ODU8YOBoPODetwOJxzHLfiJRIJDQ8Pq7u7Wz6fL++cJCkSiTift8/ny8jr9ttvV1NTU159MBF9nZ9S6Ovpfn5LDSN3AABAwVkAAGBRamhosBoaGtxOA8AEkqy+vj6305izgYEBq5C/bvT19eXcvqRpzxkfH7dM07ROnDjhbDt8+LD17LPPOq/7+/st0zStU6dOZR1zfHzcGhgYcJ739/dbkpxtlmVZY2NjGXHtYzo7O7OO41Y8y7KsQCBgBQKBaT/fbHKyLMvq7Oy0JDmf76lTpybldeLECcs0TWt8fDyvXO0c6Ovy7+uZfp5nUqzvP8PDw5Yka3R0tOCxAGC+5PP9CoB7DMsqgz95AQAA866xsVGS1NfX53ImANIZhqG+vj41NDS4nUreEomEmpqaFIlECvYX9keOHFFjY2NO7dsjiaY6JxQKaXx8XO3t7RnH9/f3a9euXRnbTNPUwMBAVjEjkUjG6JCp8hgeHlZdXV3WuZZSvGzayCanmbZN/Lz9fr+uvfZa7d27N6886euF0df5vo9iff/5l3/5F/3pn/6p3nrrLVVWVhY0FgDMl3y+XwFwD9OyAQAAAAtMPB53ppia6nUkEnGmQorFYs4x9jRJktTd3e1MqzQyMuK0PdVaFxO3dXZ2KhKJZOyTSncdoHg8rra2Nt12220Z2w8fPqwjR45MOr6mpibrtife6La1trY6zyfefLfXGgkEAlnHcSvefOUkXbpupEsFCUnOtZlehJGknTt3qq2tLa9p0+jrxdPXbrOnZauoqHA5EwAAsFAtdTsBAAAAAPOrubnZKa5MfD08PCzTNDU6Oqq1a9eqpqZGhw4dUlVVlXP88PCwWlpadPfdd+vBBx/U+vXr9atf/Urr1q3T2NhYxrGSnLZs7e3t6ujokDS30QHFcvLkSUnStddem7G9paVFLS0tzmu7yDXxRnUu7Jvr27Ztm3J/LBZTd3e3JKmpqSnvOG7Fm0tOe/fu1fj4uDZu3KgTJ07ozJkzGhsbk9frzTjO7qeTJ09OW0yYDn29ePrabclkUitXrtSSJUvcTgUAACxQjNwBAAAAFpiJ00ilv7b/kn/NmjWSpK6uLkmZRRj7GI/H49zctotDE2++prc1m/b29kl/mV8KXnjhBUmzv4/e3l6dOnVKtbW1ecd68cUXZZqmNm/ePGlfLBbT2rVrncJYeoGuXOLNNaf29na1trZq48aNevnll7VixYpJx3g8HknKGFGWLfp68fS121KplN773ve6nQYAAFjAKO4AAAAAmJZ9c7utrc3lTArHvuE9k8HBQd11111zutkvSY899pj27dvn3LROt2bNGlmWpVOnTikQCKitrc0ZaVEu8eaaUygU0pYtWzQ+Pi7p0ggTe/SHzT4vn2uSvl48fe22ZDJJcQcAABQUxR0AAAAAmMXll18+55v94XBYpmlOWgdlotraWmfarD179pRNvLnmFA6H1dbWpjvvvFMej0dNTU2KRCJ66qmnCprTRPT1/CiHvi4kijsAAKDQKO4AAAAAmNVc1h4pd+FweNab5rOJRqN6+eWXM9Z1mcm6devKKl42Zstp9+7dkt4drWGv7VToIkQ6+np+lENfFxrFHQAAUGgUdwAAAABMy17rYrpF2heCzs5OSZo0JZRt165dc2o/Ho/r2LFjGesNRaNR+f3+ac+xc+nv7y/5ePOVk2maGefYN/4nbrcFAoGc86CvF09fuy2ZTKqiosLtNAAAwAJGcQcAAABYYOLxeMbz9Nf2jd30m9vp+6VLoxfsY3p7e2WaZsZNV3sUj134GR4edvbZN3Dt4+PxuEKhkCQpGAwqGAzO8d3NP3skw3Q3/KfLOxQKyTAMRaPRaduOx+Nqbm5WW1ubDMNwHjfccINTMPP5fAqFQorFYk4enZ2dCgQCGcWGUoxnS//sJn6O2eQkSffff7+kd68/+7qyt9vsvG+66aacc6Wvy7+vywUjdwAAQKFR3AEAAAAWGHuKI/t5+uvKysqM/048XpI2bNggn8+nyspKrVmzRr29vRn7H3roIZmmqfXr1ysSiaiurk6maaq/v18HDhyQJOev9h9//HFnjY9SdfPNN0uSXnnllZzOGx8fV2tr64wFq/379ysSiUy5b/369ZKklpYWtbW1ae3atTIMQz09Pdq+fXvGyIdSjSdJhmFkXE+VlZUyDCOnnCSpvr5ezz77rI4fPy7DMPTkk0/q2WefVX19fcY5dj/Z/ZZLrvR1+fd1uaC4AwAACs2wLMtyOwkAAFB8jY2NkqS+vj6XMwGQzjAM9fX1qaGhwZXYklQOvyIcOXJEjY2NOeU60/uzRxft3bs351x8Pp8GBgZyPi9fCz3ebILBoCorK6fsq2xypa9LJ95sZurrfP+9Ktb3nxtuuEHbt2/Xww8/XNA4ADCf8vl+BcA9jNwBAAAAsOg1Nzfr+PHjGVPMZWN4eFj79u0rUFaLL95sotGootGompubJ+3LNlf6ujTizWamvi4HjNwBAACFRnEHAAAAwKR1ehYbj8ejnp4eHTx4MKt1RyRpcHBQV155perq6gqc3eKIN5uRkRF1dXWpp6dHHo8nY18uudLX7sebzUx9XS4o7gAAgEKjuAMAABa0RCKRsR7AQogbj8cVDAadhartBannYnh4OKPNYDCoaDSqeDzuyueXrYXYv26ZuE7PQmZf5xN5vV719vbq2LFjWbVTX1+vdevWzXd6izbebCKRiA4cOCCv1ztpX6650tfuxpvNTH093c9vqaG4AwAACo3iDgAAWNCGhoYWVNx4PK7Tp0+rvb1dlmWpv79fu3fvdtaQyEcwGNSTTz6ppqYmWZYly7J07733KhaLlfxN/oXWv26y+95+LETZvEePx5PXWiwovL179055sz9f9HXpmqmvy+HfqrNnz+rcuXMUdwAAQEFR3AEAAAtWIpFQd3f3gop7+vTpjGlzdu3aJUlqa2vLqz17hM6hQ4cy/mrb6/XKNE2dOHFibgkX0ELsXwBA+UulUpJEcQcAABQUxR0AAJCTRCKhcDjsTIsy1U3uqY6ZuJ5HOByWz+eTdGn6FcMw5PP5FIvFcopn32hPn07MjtXZ2alIJCJp8jQu8XhcoVDIiTs4OJhTbvMdN1sT10NIJBKSpEAgkLE9GAwqGAzO2Nbw8LA6OjpmXEB7qvUX6N/C9S8AoPwlk0lJFHcAAEBhUdwBAAA5aWpq0ssvv+xMh/LSSy9NKiI0NTUplUrJsiyNjY0pEomoubnZKUQ0Nzdr9+7dikQiGh4elmmaGh0dVSQS0SOPPJJTvAcffFB79uzR2NiYRkdH1dHRof3790uS2tvbnePSp2+Jx+Nqbm5WTU2NLMvS/fffr61btyoajWad23zHzUcsFlNnZ6fzOeXqn/7pnyRJH/jAB2Y8buK0N/RvcfoXAFCeKO4AAICisAAAwKLU0NBgNTQ05HROf3+/JckaGxtztp04ccIyTdN5/eyzz055jCSrv7/f2SbJmvhVZOK2bOIFAgGrtbV12jamimO3OzF2IBDIOrdCxM3F6OioE0OS1dnZmXMbU+U4G/o3/7jZkmT19fXldM5i1NfXl/P1CwD5fP/J1XPPPWdJsuLxeEHjAMB84/sVUF4MyyrRFQgBAEBBNTY2SpL6+vqyPsfn8ykSicy4gLHf71dXV1fGMYlEQpWVlTJNUwMDA5LkTGWVftzEbdnEs8ViMR09etRZe8Y+Z6o4drtTsSwrq9wKETcf0WhU3/nOd9TR0aHDhw+rpaUl63One08zoX8L37+GYejmm2/WmjVrsj5nMYrFYjp58qR27tzpdioAysjJkyd1yy235PT9J1cDAwPasWOHzp49q/e85z0FiwMA8+3IkSNqbGzM+3cTAMXFtGwAACBr0924TtfV1TVpm8fjyfr8XONJUnd3tz772c/KNM2c2rX+/5Ra6Y9cuBU3XW1trTMl2549e3I6t7W1VdK76/Zkg/4tfFwAQHlLJpNavnw5hR0AAFBQS91OAAAAlA/TNBWJRBSNRlVbWzvjMfF4XF6vN2OfXUyYz3jhcFh79uzR6OhoziMdRkZGtG7dupzOcTvuVPJta9u2berq6tKZM2em/Xwnon8LG9d23333qaGhYU5tLHT2X5Y+9dRTbqcCoIzYI5cLKZVKsd4OAAAoOEbuAACArNkjGLq6upzRHrFYTH6/3znGviF9+vRpZ5t9bK7TJ2UTb/fu3ZKU0w34w4cPS5J6e3udduPxuEKhUNZtuBV3KnZb/f39OZ1nmqZM05xyNI4tFotl5Ef/FjYuAKD8JRIJijsAAKDgKO4AAICs7dixwykGVFZWyjAMPfLII3rggQecY+68806ZpqmDBw8qHo9Lkp555hm1traqvr5ekpzt0ruFgfSpwez92cSzCwSxWEwjIyOT2rD3p99k37FjhySpo6PDabeqqko7d+7MOrf5jpstn8+nUCikWCzm5NbZ2alAIKBdu3Y5xwWDQQWDwVnb6+np0W9/+1v5/f6M92G/t89+9rPOtG8S/Vvo/gUAlL9kMklxBwAAFBzFHQAAkDWv16uenh4FAgFJUiAQ0AMPPJAxBZXH41FPT49M01RVVZWz8Pyjjz7qHFNVVeU8r6yszPhv+v5s4rW3t0u6tD5KZWWlAoGAWltb9c4772Tsf/zxx50ihdfr1ejoqNNua2urM/1WtrnNd9xstbS0qK2tTWvXrpVhGOrp6dH27dudeLnyer3q7e3Vtm3b9NWvflWGYcgwDPl8Pv34xz/WE088kTH9Gv1b2P4FAJQ/ijsAAKAYDIsVXgEAWJTsOef7+vpczgRAOsMw1NfXx5o7s7DX3OHXGQC5KMb3n0996lP6n//5H/3gBz8oWAwAKAS+XwHlhZE7AAAAAAAA8ySZTMrj8bidBgAAWOAo7gAAAADAIpe+fhRKSygUylgbDKWPadkAAEAxUNwBAAAoAfZaN7M9gEJKJBIFvc4K3T7yE4/HtX//fpmm6WwLh8Py+XwyDEN+v1/xeDzndmOxmPx+v9PG4ODglLGDwaDzb1w4HM77fZRiPEmKRqMZ/477/f5p24xGo+ru7nY+e0m6/fbb1dTUlFcfwB2pVIriDgAAKDiKOwAAACXAsqysHkAhDQ0NlXX7yF0ikVBzc7M+/elPa926dZKk7u5ueb1eDQwMyLIsbdmyRc3NzYpGozm1G41GdejQIY2Pj2vLli3aunWrIpGIc0w8Htfp06fV3t4uy7LU39+v3bt35zWCqBTj2V544YWM19u2bZuyzVAopGAwqOrqaj3xxBPOv/m1tbXat2+fmpubGcFTJhi5AwAAioHiDgAAAAAlEgl1d3eXbfvIT09Pj2pra1VXV+ds27NnT8YokV27dikSiSgYDGbd7tDQkDMSyOPxaNeuXZIkn8/nHHP69OmMuPYxbW1tOb+PUoxnq66uzijSp4+Qsvn9fo2Pj6u3t1emaWrNmjUZ++vq6lRTU6Oenp6cc0XxUdwBAADFQHEHAAAAKHOJRELhcNiZ9qm7uzvj5vxUU/tN3NbZ2emMOrC3x+NxRSIR54Z1d3e3M63UyMjInNuXpGAwmFPRAPMnHo+rra1Nt912W8b2w4cP68iRI5OOr6mpybrtqQoYktTa2uo8Ty+0SHJGpQQCgazjlHI86dLUbT6fT8FgUMPDw1OeY1//7e3t8ng808bcuXOn2tramJ6tDCSTSVVUVLidBgAAWOAo7gAAAABlrqmpSalUSpZlaWxsTJFIJGMKp7GxsUnnjI6OZrxub293ntsjDKqqquTz+RSJRDQ8PKyWlhaNj49LktavX+8UePJtH+46efKkJOnaa6/N2N7S0qKBgQHntd3PEwsXubCvxemmJIvFYurs7JR06Xqeq1KJZ09l19HRoY0bN8rn82UUZ6LRqDo6OrRt2zaneOrz+aZcv8fuJ7vfUJrOnz+vt99+m5E7AACg4CjuAAAAAGVscHBQkUhEO3bskCR5vV7t27dPkUhEzzzzjLNtoonTPk0lvQBjj3rweDzOTX57JE6+7UuXij7phR8Uj70WzGx91dvbq1OnTqm2tjbvWC+++KJM09TmzZsn7YvFYlq7dq06Ojokacp1a8o1nmmaGh8f16lTpxQIBBSJRPT00087+48dOybpUh/YxdOamhpt3bp10kgfe1RP+qg5lJ5UKiVJFHcAAEDBUdwBAAAAytjRo0clZRZYNmzYIElTTq01H+yb/PmsVYLSYRc3ZjI4OKi77rprToUdSXrssce0b9++KacdW7NmjSzLcgogbW1tc16fqZTieTwe1dbWqr29XYcPH84oJtk/Q/bnm148ffLJJye1k34OSlMymZREcQcAABQexR0AAACgjHV1dU3aZt8Eno8RCVjcLr/88jkXdsLhsEzTnLTmzUS1tbXOFGl79uxZcPEk6e67757159L+vKf62Ubpo7gDAACKheIOAAAAUMbshd2nWmR9LmukZKPQ7cNd4XA4q4LFTKLRqF5++WW1tLRkdfy6desWdLz0kTnSuz9D9po96eyfbZQXuy8p7gAAgEKjuAMAAACUsYaGBknS6dOnnW32zcWdO3cWJKa95sd0i9WjPHR2dkqaurAgSbt27ZpT+/F4XMeOHctYUykajcrv9097jp1Lf3//go2X/nNpPz9z5syknOyf7YkCgUDOuaJ47JE7FRUVLmcCAAAWOoo7AAAAQBm78847ZZqmDh486IzeeeaZZ9Ta2qr6+nrnOHuEgF2YSV+s3b4ZnT4KKBQKZcQJh8OSLt147u3tlWmaGSML8m0/GAwqGAzm/wEgb/aolemKO9P1TSgUkmEYikaj07Ydj8fV3NystrY2GYbhPG644QanKOjz+RQKhRSLxZw8Ojs7FQgEMgpL5RovHA5rcHDQOScWi2loaCjj57K+vl6BQEDBYND5+X3qqadkmuak4pqd90033TRtXnBfMpmUYRgUdwAAQMFR3AEAAADKmMfjUU9Pj0zTVFVVlQzDkCQ9+uijGcc99NBDMk1T69evVyQSUV1dnUzTVH9/vw4cOCBJzgiExx9/3FmLxLZhwwb5fD5VVlZqzZo16u3tndf2UXw333yzJOmVV17J6bzx8XG1trbOWJTbv3//tGvLrF+/XpLU0tKitrY2rV27VoZhqKenR9u3b88YCVPO8VauXKmtW7fKMAwFg0G99dZbU0611t7ePunnd+LPl/RuP9n9htKUTCaZkg0AABSFYVmW5XYSAACg+BobGyVJfX19LmcCIJ1hGOrr65t2SqZis282l9qvDUeOHFFjY2PJ5VVu7BFUe/fuzflcn8+ngYGB+U5p0cabTTAYVGVlZV59hXcV+vtPKBTS1772NY2OjhakfQAoJL5fAeWFkTsAAAAAsEg1Nzfr+PHjGdPoZWN4eFj79u0rUFaLL95sotGootGompub3U4Fs2DkDgAAKBaKOwAAAACmZK8BMvE5Fg57Wr+DBw/OuMZMusHBQV155ZWqq6srcHaLI95sRkZG1NXVpZ6eHnk8HrfTwSwo7gAAgGJZ6nYCAAAAAEpTVVVVxnOm6FiYvF6vent71dPTo9ra2lmPr6+vL0JWiyfebCKRiA4cOCCv1+t2KsgCxR0AAFAsFHcAAAAATIlizuLh8XhYy6VE0S/lJZlMqqKiwu00AADAIsC0bAAAAAAAAPOAkTsAAKBYKO4AAAAAAADMg1QqRXEHAAAUBcUdAAAAAACAecDIHQAAUCwUdwAAAAAAAOYBxR0AAFAsFHcAAAAAAADmQTKZVEVFhdtpAACARWCp2wkAAAB3rFixQt/85jd15MgRt1MBMEFjY6MaGxvdTqMsGIbhdgoAysxnPvOZgrWdSCQYuQMAAIqC4g4AAIvUgQMHdOedd7qdBoBF7He/+50+85nP6K//+q9VW1vrdjoAFom6urqCtJtMJiWJ4g4AACgKijsAACxS11xzja655hq30wCwyLW2tmr9+vXauXOn26kAwJykUilJFHcAAEBxsOYOAAAAANesWrVKr7/+uttpAMCcMXIHAAAUE8UdAAAAAK6prq7Wa6+95nYaADBndnHH4/G4nAkAAFgMKO4AAAAAcM3q1av1xhtvuJ0GAMwZI3cAAEAxUdwBAAAA4JqqqiqNjY25nQYAzJld3KmoqHA5EwAAsBhQ3AEAAADgmlWrVikej7udBgDMWTKZ1MqVK7VkyRK3UwEAAIsAxR0AAAAArrnqqqv0+uuvu50GAMxZKpViSjYAAFA0FHcAAAAAuGbVqlVMywZgQUgmkxR3AABA0VDcAQAAAOCaqqoqvfPOO85aFQBQrijuAACAYqK4AwAAAMA1q1evliTW3QFQ9ijuAACAYqK4AwAAAMA11dXVksS6OwDKXjKZVEVFhdtpAACARYLiDgAAAADXrFq1SpL02muvuZwJAMwNI3cAAEAxUdwBAAAA4JoVK1aosrJSb7zxhtupAMCcJBIJijsAAKBoKO4AAAAAcJXX62XkDoCyl0qlKO4AAICiobgDAAAAwFVer5eROwDKHtOyAQCAYqK4AwAAAMBVXq9Xr776qttpAMCcUNwBAADFRHEHAAAAgKu8Xq/efPNNt9MAgDmhuAMAAIqJ4g4AAAAAV7HmDoByd/bsWZ07d47iDgAAKBqKOwAAAABctXr1ar3++utupwEAeUulUpJEcQcAABQNxR0AAAAArqqurtYbb7yhCxcuuJ0KAOQlmUxKorgDAACKh+IOAAAAAFetWrVKlmXpjTfecDsVAMgLxR0AAFBsFHcAAAAAuKq6ulqSNDY25nImAJAfijsAAKDYKO4AAAAAcNWqVaskiXV3AJQtu7hTUVHhciYAAGCxoLgDAAAAwFWrVq3SsmXLFI/H3U4FAPKSTCZzCVdcAAAgAElEQVS1fPlyvec973E7FQAAsEhQ3AEAAADguve9731MywagbKVSKaZkAwAARUVxBwAAAIDrqqurmZYNQNlKJBIUdwAAQFFR3AEAAADgutWrVzNyB0DZSiaTFHcAAEBRUdwBAAAA4LqqqipG7gAoWxR3AABAsVHcAQAAAOC61atX67XXXnM7DQDISzKZVEVFhdtpAACARYTiDgAAAADXVVVV6c0333Q7DQDISzKZlMfjcTsNAACwiFDcAQAAAOA6r9erV1991e00ACAvTMsGAACKjeIOAAAAANetXr1ab7/9tt5++223UwGAnKVSKYo7AACgqCjuAAAAAHBdVVWVJLHuDoCyxMgdAABQbEvdTgAAAAAAVq1aJUl64YUXFIvF9Oqrr+r111/XuXPntHfvXpezA4CZUdwBAADFRnEHAAAAQNE999xzam5u1pIlS/Tmm29qfHxckrR7925JkmEYsixLkijuACh5yWRSFRUVbqcBAAAWEYo7AAAAAIruJz/5iU6fPj3tfsuytHTpUt1zzz1FzAoAcnf+/Hm9/fbbjNwBAABFxZo7AAAAAIrO7/dr+fLlMx5jWZZuv/32ImUEAPlJpVKSRHEHAAAUFcUdAAAAAEVXXV2tT33qU1q2bNm0x1y4cEG33npr8ZICgDwkk0lJFHcAAEBxUdwBAAAA4IoHHnhA58+fn3b/+9//fv3hH/5h8RICgDxQ3AEAAG6guAMAAADAFR/5yEf0iU98QkuXTl4KdNmyZbrjjjtcyAoAcpNIJCRR3AEAAMVFcQcAAACAax566KEpR+9cuHBB9fX1LmQEALmxR+5UVFS4nAkAAFhMKO4AAAAAcM2tt96q66+/XpddlvmrycWLF1lvB0BZSCaTMgyD4g4AACgqijsAAAAAXPWFL3xBlmVlbPvABz6gq6++2qWMACB7yWSSKdkAAEDRUdwBAAAA4Krdu3erurraeb18+XLW2wFQNlKplDwej9tpAACARYbiDgAAAABXLVu2TJ///Oe1ZMkSSdK5c+d02223uZwVAGSHkTsAAMANFHcAAAAAuK65uVnLly93XlPcAVAuKO4AAAA3UNwBAAAA4LrKykr95V/+pSTpgx/8oFatWuVyRgCQHYo7AADADUvdTgAAACx8r732mh544AFduHDB7VQAlLC3335bkhSPx3X33Xe7nA2AcnTttdfq4MGDRY2ZTCZVUVFR1JgAAACM3AEAAAU3ODiocDjsdhoAStzll1+ujRs3avPmzW6n4oqTJ0/q5MmTbqdRFo4ePapYLOZ2GigxR48e1SOPPFL0uIzcAQAAbmDkDgAAKJqnnnrK7RQAoGQ1NjZKkvr6+lzOpPQZhqH77rtPDQ0NbqeCEnLkyBHn56iYUqkUxR0AAFB0jNwBAAAAAADIEyN3AACAGyjuAAAAAAAA5IniDgAAcAPFHQAAAAAAgDxR3AEAAG6guAMAAAAAAJCnRCKhiooKt9MAAACLDMUdAAAAAACAPCSTSUli5A4AACg6ijsAAAAAsMAEg0EFg0G30yhJ8XhcoVDI7TQwhVAopEQi4XYaOUmlUpIo7gAAgOKjuAMAAAAAmFeJREKGYbidxiTxeFz79++XaZrOtnA4LJ/PJ8Mw5Pf7FY/Hc243FovJ7/c7bQwODk4ZOxgMyjAMGYahcDic9/soxXiSFI1GnXj2sdOJRqPq7u52PntJuv3229XU1JRXH7iFkTsAAMAtFHcAAAAAYIFpb29Xe3u7a/GHhoZciz2dRCKh5uZmffrTn9a6deskSd3d3fJ6vRoYGJBlWdqyZYuam5sVjUZzajcajerQoUMaHx/Xli1btHXrVkUiEeeYeDyu06dPq729XZZlqb+/X7t3785rBFEpxrO98MILGa+3bds2ZZuhUEjBYFDV1dV64oknZFmWJKm2tlb79u1Tc3Nz2YzgsYs7Ho/H5UwAAMBiQ3EHAAAAADBvEomEuru73U5jkp6eHtXW1qqurs7ZtmfPnoxRIrt27VIkEslpSruhoSFnJJDH49GuXbskST6fzznm9OnTGXHtY9ra2nJ+H6UYz1ZdXS3LspxH+ggpm9/v1/j4uHp7e2WaptasWZOxv66uTjU1Nerp6ck5VzcwcgcAALiF4g4AAAAALCDxeNyZamyq15FIRIZhyOfzKRaLOcdEIhHnmO7ubmdarZGREaft9Cm3ptvW2dnpjOpI3+7mOkDxeFxtbW267bbbMrYfPnxYR44cmXR8TU1N1m1PVcCQpNbWVud5eqFFkjMqJRAIZB2nlONJl6Zu8/l8CgaDGh4envIcu//b29tnHOmyc+dOtbW1lcX0bHZxp6KiwuVMAADAYkNxBwAAAAAWkObmZu3evdspsKS/Hh4elmmaGh0dVSQS0SOPPCJJqqqqks/nc45paWnR+Pi4JGn9+vVOgWdsbGxSvNHR0YzX6dPB2SM43Hby5ElJ0rXXXpuxvaWlRQMDA85r+31OLFzkwi6kTDclWSwWU2dnpySpqakp7zilFs+eyq6jo0MbN26Uz+fLKM5Eo1F1dHRo27ZtTvHQ5/NNuX6P3U92v5WyZDKplStXasmSJW6nAgAAFhmKOwAAAACwgKQXKya+tkd02FNhdXV1SVJGAcY+xuPxOEUOu1Dk9XonxZs4rdZ03FwHyF4LZrZce3t7derUKdXW1uYd68UXX5Rpmtq8efOkfbFYTGvXrlVHR4ckTbluTbnGM01T4+PjOnXqlAKBgCKRiJ5++mln/7FjxyRd6gO7eFhTU6OtW7dOGuljj+pJHzVWqlKpFFOyAQAAV1DcAQAAAABMyS5y5LNWSymxixszGRwc1F133TWnwo4kPfbYY9q3b9+U046tWbNGlmU5BZC2trY5r09USvE8Ho9qa2vV3t6uw4cPZxST7GvI/nzTi4dPPvnkpHbSzyllyWSS4g4AAHAFxR0AAAAAwKJ3+eWXz7mwEw6HZZrmpDVvJqqtrXWmSNuzZ8+CiydJd99996wjhezP2x5BVo4o7gAAALdQ3AEAAAAAzGgua9CUg3A4nFXBYibRaFQvv/yyWlpasjp+3bp1Czpe+sgc6d1ryF6zJ51pmnPKzU0UdwAAgFso7gAAAAAApmSvebJt2zaXM5mbzs5OSVMXFiRp165dc2o/Ho/r2LFjGWsKRaNR+f3+ac+xc+nv71+w8Xbu3Om8tp+fOXNmUk4NDQ1TthEIBHLOtdiSyaQqKircTgMAACxCFHcAAAAAYAGJx+MZz9Nf2zfT04sc6fulS6NY7GN6e3tlmmbGyAp7BIZd+BkeHnb22Tf77ePj8bhCoZAkKRgMKhgMzvHd5ccetTJdcWe63EKhkAzDUDQanbbteDyu5uZmtbW1yTAM53HDDTc4RTGfz6dQKKRYLObk0dnZqUAgkFFYKtd44XBYg4ODzjmxWExDQ0Oqr693ttXX1ysQCCgYDDrX3FNPPSXTNCcV1+y8b7rppmnzKhWM3AEAAG6huAMAAAAAC0hVVVXG8/TXlZWVGf+deLwkbdiwQT6fT5WVlVqzZo16e3sz9j/00EMyTVPr169XJBJRXV2dTNNUf3+/Dhw4IEnOCI/HH3/cWevFTTfffLMk6ZVXXsnpvPHxcbW2ts5YlNq/f/+0a8usX79ektTS0qK2tjatXbtWhmGop6dH27dvzxgJU87xVq5cqa1bt8owDAWDQb311ltTTrXW3t4u0zRVVVUlwzAkadL1Jb3bT3a/lbJEIkFxBwAAuMKwLMtyOwkAALCwHTlyRI2NjeJrBwBMr7GxUZLU19fnSnz7Zns5/FttGIb6+vqmnc5rKvYIor179+Ycz+fzaWBgIOfz8rXQ480mGAyqsrIy575y4/vGDTfcoO3bt+vhhx8uWkwAKBR+bwPKCyN3AAAAAAALXnNzs44fP54xjVw2hoeHtW/fvgJltfjizSYajSoajaq5udntVLLCtGwAAMAtFHcAAAAAYJGbuE7PQuTxeNTT06ODBw/OuMZMusHBQV155ZWqq6srcHaLI95sRkZG1NXVpZ6eHnk8HrfTyQrFHQAA4BaKOwAAAAUWj8cVDofl8/ncTgUApjRxnZ6Fyuv1qre3V8eOHcvq+Pr6eq1bt67AWS2eeLOJRCI6cOCAvF6v26lkLZlMlk0hCgAALCwUdwAAALIUi8Xk9/tlGIb8fr8GBwezOm///v3avXv3tAtSzySRSDjrYGBuotGoDMNwHn6/f07tDQ8PKxgMOu0Fg0FFo1HF43FX+2y26zT9M5j4CIVCikQiSiQSWZ8z1QPlx7KsjMdC5vF48lp3B4W3d+/esirsnD17VufOnVNFRYXbqQAAgEWI4g4AAEAWEomEotGoDh06pPHxcW3ZskVbt27NqmBz6NChvOMODQ3lfS4yvfDCCxmvt23blndbwWBQTz75pJqampyb4ffee69isZirox6yuU4ty9LY2Jjzenx83HkPt99+u7q7u9XU1DRpaq7+/v4pb/6nb+vv7y/8mwSAEpFKpSSJadkAAIArKO4AAABkYWhoSKZpSrr0V9+7du2SpIJOtZZIJNTd3V2w9heb6urqjEKE3Z+5skfoHDp0KGM6I6/XK9M0deLEiflKOWfZXqfpfxmfPp1QbW2tenp6JF1afD59BI/d1kzuvPPO/JMHgDKTTCYlUdwBAADuoLgDAABKViKRUDgcdqZ6mqrQMdUxExcGT1/vJhKJyDAM+Xw+xWIxDQ8PTzulVCgUcrbV1tZOmWNra+uMOfl8Po2MjOT1/js7O50RF3Ye8XhckUhEPp9PiURCfr9fwWDQidvd3Z0xTZj9Wcz2OaSz37f9WdqfSXpsSU4sv98/5XucrW9mi2eLx+POMT6fL+vp8NLFYjH5fD4Fg0ENDw9PeUwwGHQ+y+kMDw+ro6ND+/btm/aYqRYmL8XrdDper1f333+/IpGIM3JsdHQ0q3M9Ho9GR0e5TvO8TgGUF4o7AADAVRYAAECB9fX1Wfl87TBN0woEAs7r1tbWjNf2MYcPH7Ysy7LGxsYs0zQt0zSt8fFxZ78kS5J14sQJy7Isa3R01JJktba2WpZlWc8++6wlaVLblmVZgUDAOnXq1KTt4+PjliRrYGBgyrxbW1udHPr7+50ccjXxvInv59SpU877aG1ttSRZY2Njk95jNp+DZVlWZ2enNTo66rzHQCDgxLfPT29jfHzcifurX/1q0ucwU9/MFi/9vP7+fsuy3u2rqfpkJgMDAxn5m6ZpjY2NZRwTCASmvAYmHmN/xrkoxet0pmvSPi/92sjlfK7T/K7ThoYGq6GhIadzFitJVl9fn9tpoMTk+30jX88995wlyYrH40WLCQCFVOx/RwHMDT+tAACg4PL5JcEuiKTfRD9x4oRlmqbz2r6BOvEYSc5NVsua+ib0xG32zdr0G7r2TdypPPvss5NuAFvWu0WE9BvI9o3y+SjupG+bGDsQCGTcAJ94bjafw8TPc2xsbNY2Tp06ZUmyOjs7nW259M1M8ezrYGLOsxVhpjI+Pm6dOnXK6Wv7hn4u8unHUrxOs3kv87Wf6zR7FHeyR3EHUyn2Tcmnn37akmSdPXu2aDEBoJAo7gDlhZ9WAABQcPn8kmD/Bf9M7L/ET2cXUtKLQNncLLZv/Kbf0H322Wen/ct70zSdUQGz5TRdDtnIJveJRkdHrc7Ozrxumtv59/f351QQmK6ddFP1zWzx0kdyTHzMxeHDhzPyyFY+sUvxOs3mvRR6P9fpZA0NDdO2w4MHj+wfxdLb22stX768aPEAoNAo7gDlxbAsyxIAAEABHTlyRI2Njcrla4e9nsVM50x3zMTtUx031TZ7jY6BgQFJl9ZgaW9vnxQ3HA4rlUqppaUl75yylW3utu7ubkUiEXV2dmr9+vUZx2XT1sjIiNra2py1fjo7O7V3796c31+2x+Ubb64SiYQqKytzbtfv96urq0vj4+PyeDxZnVOK1+lMeUnvfj6BQGDKtmc7f7b9XKdTa2xsVCwW03333TendhaDu+++W/fdd59uueUWt1NBCfnpT3+qr33ta/P+/4zpHDp0SF/60pf0+uuvFyUeABRaPr+3AXDPUrcTAAAAmIppmopEIopGo9MuEm8fE4/H5fV6M/blsoC8raGhQbt379bw8LCuvvpq3XTTTZOOiUajevnll6e94e2mcDisPXv2aHR0VGvWrMmrjXXr1mlgYEDRaFRdXV1qa2uTpIwb2dNJ/8yz7Zts442MjGjdunV5vaepeDyevK6Rbdu2qaurS2fOnJn2upyoHK/TF198UZJ022235XX+TLhOZ7ZmzRrt3LlzTm0sFjfffDOfFTKcO3euqPESiYTe+973FjUmAACA7TK3EwAAAJiKaZqSpK6uLiUSCUlSLBaT3+93jmloaJAknT592tlmH5vPDb/6+npJ0pNPPqmf/exn2rx5c8b+eDyuY8eOZdwwj0ajGTkdPnzY2V5su3fvlqS8b5hLl0YgJBIJ1dbW6tChQzp16pRzI3s6IyMjki4VPmzZ9s1s8ezPs7e31zk/Ho8rFArl/R7tXPK5RkzTlGma6urqmvaYWCyWkV8pXqczicfjeuyxx2SaphNrPnGdAlgokskkxR0AAOAaijsAAKAk7dixw7mJXllZKcMw9Mgjj+iBBx5wjrnzzjtlmqYOHjyoeDwuSXrmmWfU2trq3JS2t0vv3rS1/ztxv9frVSAQUFdXl377299mTLsVj8fV3NystrY2GYbhPG644YaMm8V33HGHpEtTZcViMUnS4OCgsz/bG+w2u8hl3yhOz3e6Y2OxmHMj2z43l8+hs7PTyf2KK65QZ2fnpFjhcNhpo7e31yl62LLpm2zi7dixQ5LU0dHhXAdVVVU5FUXC4XBGH8RiMQ0NDU3KIxgMKhgMztpeT0+Pfvvb38rv92d8znbbn/3sZ9XU1ORsK8XrNL3t9OfRaFTNzc3O+5xOej5TXZNcp7lfpwDKD8UdAADgJoo7AACgJHm9XvX09CgQCEiSAoGAHnjggYwpjzwej3p6emSapqqqqpx1Lx599FHnmKqqKud5ZWVlxn8n7peku+66S5IybgBL0v79+531Niay1wyRLo1GGB0dVU1NjdauXSu/36/rr79epmmqv79fBw4cyP5DkJzRF48//riampoy8rXXXpl4bHd3t7NeSmtrq955552cPod7771XR48elWEYOnr06JRTXW3YsEE+n0+VlZVas2aNent7M/Zn0zfZxPN6vRodHXWug9bW1pyn81q5cqW2bt0qwzAUDAb11ltvTerfXHi9XvX29mrbtm366le/6hRQfD6ffvzjH+uJJ57ImOKr1K5TwzAy2raLEYZh6NixY9q3b58GBgYmTVNmswsX6bnZ72mqfLlOASxUyWRSFRUVbqcBAAAWKcNihSwAAFBgLMy5cMzXwvFAIZXrddrY2ChJ6uvrczmT0mcYhvr6+pyp9QCp+N83PvnJT2rlypX8zAJYMPi9DSgvjNwBAAAAAADIEdOyAQAAN1HcAQAAQFZmW2cFKAVcp8iVvaYZiisUCmWsqVWOUqkUxR0AAOAaijsAAABFlr7Q/UyPUjNxnRW3levniMIqteu0nCQSiYL+zBS6/XzE43Ht378/Y/2qcDgsn88nwzDk9/vnpUjY3d0943uPRqPq7u524pZTvGzbmpjT7bffrqamprIuwjJyBwAAuIniDgAAQJFZlpXVo9SUWn7l+jmisOj//A0NDZV1+7lKJBJqbm7Wpz/9aa1bt07SpQKE1+vVwMCALMvSli1b1NzcrGg0mnecaDSqPXv2TLs/FAopGAyqurpaTzzxxJyv22LGy7atqXKqra3Vvn371NzcXLYjeCjuAAAANy11OwEAAAAAgLsSiYS6u7vLtv189PT0qLa2VnV1dc62PXv2qL+/33m9a9cu7d69W5I0MDCQc4xEIqHvfOc70+73+/1atWqVent75fF4cm7fzXjZtjVTTnV1daqpqVFPT4/27t07p3zcQHEHAAC4iZE7AAAAAFDGEomEwuGwMxVhd3d3xlRXU01TOHFbZ2enIpFIxr54PK5IJCKfzyfp3Wm1/H6/RkZG5ty+JAWDQQWDwUJ8LDOKx+Nqa2vTbbfdlrH98OHDOnLkyKTja2pq8orT09Oje++9d8p99vtub2+fl8JOMePl0tZMOUnSzp071dbWVnbTs50/f15vv/22Kioq3E4FAAAsUhR3AAAAAKCMNTU1KZVKybIsjY2NKRKJZEx1NTY2Numc0dHRjNft7e3Oc3tKu6qqKvl8PkUiEQ0PD6ulpUXj4+OSpPXr1zsFnnzbd9PJkyclSddee23G9paWlowROvZ7bG1tzTnG4OCgPv7xj8vr9U7aF41G1dHRoW3btjlFM5/Pp8HBwZzjFDteLm3NlJPN7gO7T8pFKpWSJEbuAAAA11DcAQAAAIAyNTg4qEgkoh07dkiSvF6v9u3bp0gkomeeecbZNtGaNWtmbTu9AGNPXebxeJxChz0SJ9/2pUtFn/TCT7G88MILkmbPs7e3V6dOnVJtbW1O7cfjcf3mN7/JmPIt3bFjx5z4dtGspqZGW7du1fDwcE6xih0v27Zmy8lmj/xJHw1WDpLJpCSKOwAAwD0UdwAAAACgTB09elRSZoFlw4YNkjTl9GLzwS50tLW1FaT9Yujo6Jj1mMHBQd111105F3Yk6emnn1ZLS8u0++3Pzm47vWj25JNPlnS8bNuaLSebXdwpt+uJ4g4AAHAbxR0AAAAAKFNdXV2Tttk3y+2RNcjP5ZdfnldhJxKJ6I477sj5PDvWVH1aSvGyaSvfnMqJPe0hxR0AAOAWijsAAAAAUKZM05SkKRejz2edmFwUun03hcPhWacTm47P59PatWtlGIbzsNnP7c/OLhCks/u0VONl01Y2OZU7e+RORUWFy5kAAIDFiuIOAAAAAJSphoYGSdLp06edbfZN9507dxYkpr02yrZt2wrSfjF0dnZKmrpAIUm7du3Ku23LsiY90vdJ7/bNmTNnnH12Lnaflmq8bNrKJqeJAoFATnm4LZlMyjAMijsAAMA1FHcAAAAAoEzdeeedMk1TBw8edEbvPPPMM2ptbVV9fb1znD3awi7MpC987/f7JWWOAgqFQhlxwuGwpEs38Xt7e2WaZsaIj3zbDwaDCgaD+X8AeVq3bp2k6Ys70+UVCoVkGIai0eic4tfX1ysQCCgYDDr99tRTT8k0zYzCUinGy7atbMViMUnSTTfdlPO5bkomk0zJBgAAXEVxBwAAAADKlMfjUU9Pj0zTVFVVlTPl1aOPPppx3EMPPSTTNLV+/XpFIhHV1dXJNE319/frwIEDkqT29nZJ0uOPP66mpqaM8zds2CCfz6fKykqtWbNGvb2989p+sd18882SpFdeeSWn88bHx9Xa2jovBan29vZJ/Tbxcy3VeNm0lS27D+w+KRepVMpZ3woAAMANhjXdmGgAAIB5cuTIETU2Nk47FQsAQGpsbJQk9fX1uZzJu+wb96X277dhGOrr68t5SrF09uihvXv35nyuz+fTwMBA3rGJ965gMKjKysq8+mGiYn7f2L9/v773ve/p3//93wseCwCKhd/bgPLCyB0AAAAAwKLT3Nys48ePZ0whl43h4WHt27evQFktrnjRaFTRaFTNzc1FiTefmJYNAAC4jeIOAAAAAGASez2Vic8XCntKu4MHD2a9ps3g4KCuvPJK1dXVFTi7hR9vZGREXV1d6unpKcvpzSjuAAAAty11OwEAAAAAQOmpqqrKeL4Qp2jxer3q7e1VT0+PamtrZz2+vr6+CFktjniRSEQHDhyQ1+stWsz5lEwmVVFR4XYaAABgEaO4AwAAAACYZCEWc6bi8XjmZb0X5KbcP/NkMqlrrrnG7TQAAMAixrRsAAAAAAAAOUilUkzLBgAAXEVxBwD+H3v3Hx1Vfed//DX8VH44KW0nStxQW4Sy/RH3aCVgv1J+qCX1DnZrPCRp1uU0iZlzoAslbYXNlEOHA7abrK5wSkriVszmxwHXoxkt7RGyB45HAtVdpq7HFouSWcXN7B6bAUF+3+8f2Xudyc+ZkOTOJM/HOXPI3B+f93vu507E++bz+QAAAABAElhzBwAAOI3iDgAAAAAAQBIo7gAAAKdR3AEAAAAAAEgCxR0AAOC0CU4nAAAAxo69e/c6nQIApKxwOCxpaH5XXr58WWfPnpXb7b7mtlLVkSNHNHHiRKfTQAoZyb9nRKNRTZ8+fcTiAQAAdEdxBwAADLvZs2dLkh566CGHMwGA1PfKK684nUJaePLJJ/Xkk086nQZSzKRJk4Y9xunTpyWJkTsAAMBRFHcAAMCwu/POO2WaptNpAMCY8fHHH+u5557T008/rdbWVmVkZKiwsFDf/e53NX/+fKfTA9LamTNnJFHcAQAAzmLNHQAAAAAYZa6//noVFRXp5ZdfVjgc1o9+9CPt379fubm5mjdvnn72s5/pv/7rv5xOE0hLjNwBAACpgOIOAAAAAIxiWVlZ+vGPf6y33npLv/vd77Rs2TL9/Oc/1+c+9zndc889amho0NmzZ51OE0gbVnFnNK9pBQAAUh/FHQAAAAAYI+644w5t375dp06d0nPPPaepU6dq1apVuvHGG7Vq1SodPHhQV69edTpNIKUxcgcAAKQCijsAAAAAMMZMnjxZK1as0PPPP6/3339f27Zt0xtvvKFvfOMbuuWWW/STn/xEf/rTn5xOE0hJVnFn+vTpDmcCAADGMoo7AAAAADCGffazn9Xq1av12muv6T//8z9VUFCgp556SrfeeqsWLlyoXbt2qbOz0+k0gZRx+vRpTZ06VePHj3c6FQAAMIZR3AEAAAAASJK+9KUv6bHHHlM4HNZvfvMbff7zn9fatWt144036qGHHtKvf/1rXblyxek0AUedOXOGKdkAAIDjKO4AAAAAAOKMHz9e9913n/7lX/5FH3zwgXbu3KmOjg7df//9mjlzphrhQaQAACAASURBVH7wgx/ojTfecDpNwBGnT5+muAMAABxHcQcAAAAA0Ce3261Vq1bp4MGDevvtt7V69Wq1tLToq1/9qnJycvT4448rEok4nSYwYijuAACAVEBxBwAAAACQkC984Qvy+/16++23dfDgQeXm5mrz5s3KysrSt771Le3du1cXLlxwOk1gWFHcAQAAqYDiDgAAAAAgKS6XS3fffbd++ctf6oMPPtAzzzwjSSooKNBNN92kRx55RIcPH3Y4S2B4nD59WtOnT3c6DQAAMMZR3AEAAAAADNr111+vgoICvfTSSwqHw9q4caMOHz6shQsXas6cOQoEAgqHw06nCQwZRu4AAIBUQHEHAAAAADAkZs6cqYqKCv3+97/Xa6+9pry8PO3YsUO33HKLFi9erKefflofffSR02kC1yQajVLcAQAAjqO4AwAAAAAYcrfffrueeOIJvffee3ruuef0mc98RuXl5brppptUXFys/fv36+rVq06nCSTtzJkzFHcAAIDjKO4AAAAAAIbNxIkTtWLFCu3du1enTp3Stm3bdOLECd1zzz265ZZb9Oijj+oPf/iD02kCCWNaNgAAkAoo7gAAAAAARsSMGTO0evVqvfrqq3rrrbdUVFSkpqYmzZs3TwsWLNCOHTv04YcfOp0m0C+KOwAAIBVQ3AEAAAAAjLgvfvGL2rp1q9599129/PLLuvXWW7VhwwbNnDlTDz74oF544QVdunTJ6TSBHk6fPi232+10GgAAYIyjuAMAAAAAcMy4ceO0bNkyPfPMM/rggw9UU1OjDz/8UH/913+tm2++WX/3d3+n119/3ek0AUnSxx9/rEuXLmn69OlOpwIAAMY4ijsAAAAAgJQwbdo0/e3f/q1aW1v17rvvavXq1frtb3+rO+64Q1/96lf1D//wDzp16pTTaWIMO336tCQxLRsAAHAcxR0AAAAAQMrJzs6W3+/XH/7wB7366qtasGCBHnvsMWVnZ+tb3/qWGhoa9PHHHzudJsaYM2fOSKK4AwAAnEdxBwAAAACQ0hYsWKBf/vKXOnXqlJqamuRyubRq1SrddNNNKisr06FDh2SaptNpYgxg5A4AAEgVFHcAAAAAAGlh8uTJys/P14svvqj33ntPmzZt0tGjR7Vo0SLdeuut+ulPf6oTJ044nSZGMYo7AAAgVVDcAQAAAACkHY/Ho3Xr1unYsWP6/e9/L6/Xq1/84he69dZbtWjRIj311FOKRqNOp4lRxiruTJ8+3eFMAADAWEdxBwAAAACQ1r7yla/oH//xH/X+++/rxRdfVGZmplavXq2bbrpJ3/3ud/Wb3/xGV65ccTpNjAKnT5/WpEmTdN111zmdCgAAGOMo7gAAAAAARoXx48crLy9Pe/bs0X//93/riSee0DvvvKPly5crOztbjz76qN544w2n00QaO3PmDFOyAQCAlEBxBwAAAAAw6rjdbpWVlenVV1/Vn/70J33ve99TU1OTvvrVr+qOO+7Qjh07FIlEnE4TaSYajVLcAQAAKYHiDgAAAABgVPvCF76gn/70p3r33Xd18OBBfeUrX9GGDRt0880364EHHtDzzz+vCxcuOJ0m0sDp06cp7gAAgJRAcQcAAAAAMCaMGzdOd999t371q1+po6NDv/rVr3T27Fl95zvf0cyZM7VmzRodPXrU6TSRwijuAACAVEFxBwAAAAAw5kyZMkVFRUV6+eWX1d7erh/96Efav3+/5s+fr3nz5ulnP/uZ3nvvPafTRIo5ffq0pk+f7nQaAAAAFHcAAAAAAGPbzTffrB//+Md66623dPToUS1btkw///nPNWvWLN1zzz1qaGjQuXPnnE4TKeD06dNyu91OpwEAAEBxBwAAAAAAy9e+9jVt375dp06d0r/+679q6tSpWrVqlTIzM7Vq1SodOnRIV69edTpNOIRp2QAAQKqguAMAAAAAQDeTJ0/WAw88oOeff17vvfeetm3bpjfeeEOLFi3SLbfcop/85Cc6ceKE02lihJ05c4biDgAASAkUdwAAAAAA6IfH49Hq1av12muv6Y033lBBQYGeeuopzZ49WwsXLtSuXbsUjUadThMjgJE7AAAgVVDcAQAAAAAgQV/+8pf12GOPKRwOa9++ffr85z+vtWvXKjMzUw899JB+/etf68qVK06niWFCcQcAAKSKCU4nAAAAAABAuhk/fry++c1v6pvf/Kai0aieffZZPfPMM7r//vvl8XhUWFioVatW6Stf+YrTqWKQXnzxRdXW1uov/uIvdMMNN8jtdmvatGk6efKkWlpaNH36dN1www2aNWuWPvOZzzidLgAAGGNcpmmaTicBAAAAAMBocOLECTU0NOiZZ57RiRMnlJOTo4cfflhFRUXyeDxOp4ck/PCHP1RVVZUmTpyoceO6Jj65evWqrly5oqtXr9rHuVyuuPcAkK4aGxtVVFQkHhcD6YFp2QAAAAAAGCJf+MIX9JOf/ERvv/22Dh48qDvvvFObN2/WzTffrG9961vau3evLly44HSaSEBeXp4k6dKlS7pw4YIuXLigS5cuxRVyxo0bp/vvv9+pFAEAwBhGcQcAAAAAgCHmcrl09913a9euXfrggw/09NNPS5IKCgo0c+ZMPfLIIzp8+LCzSaJfX//61zV16tR+j7l69aoeffTREcoIAADgExR3AAAAAAAYRtdff70KCwv10ksvKRwO69FHH9Xhw4e1cOFCffGLX1QgEFA4HHY6TXQ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      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model.compile( \n",
    "    optimizer = 'adam', \n",
    "    loss = \"mse\"\n",
    ")\n",
    "\n",
    "model.summary()\n",
    "\n",
    "keras.utils.plot_model( model, show_shapes = True )\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "australian-fifteen",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/64\n",
      "240/240 [==============================] - ETA: 0s - loss: 0.1806WARNING:tensorflow:Callbacks method `on_test_batch_end` is slow compared to the batch time (batch time: 0.0210s vs `on_test_batch_end` time: 0.0530s). Check your callbacks.\n",
      "240/240 [==============================] - 104s 433ms/step - loss: 0.1806 - val_loss: 0.1169\n",
      "Epoch 2/64\n",
      " 28/240 [==>...........................] - ETA: 1:20 - loss: 0.1168\n",
      "Break!\n"
     ]
    }
   ],
   "source": [
    "try:\n",
    "    model.fit( \n",
    "        train_in, \n",
    "        train_out, \n",
    "        epochs = 64, \n",
    "        batch_size = 8, \n",
    "        validation_data = [eval_in, eval_out], \n",
    "        verbose = 1\n",
    "    )\n",
    "    winsound.Beep( 880, 2000 )\n",
    "except KeyboardInterrupt:\n",
    "    print( \"\\nBreak!\")\n",
    "except ResourceExhaustedError:\n",
    "    print( \"\\nOOM! -.-\")\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "academic-permission",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}