Lecture-15.ipynb

{
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  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "print(\"Lecture-15\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Yapay Sinir Ağlarıyla Lojistik Olmayan Regresyon Örneği\n",
    "\n",
    "Otomobillerin mil başına yaktıkları yakıtı tahmin edelim.\n",
    "\n",
    "https://archive.ics.uci.edu/dataset/9/auto+mpg\n",
    "https://www.kaggle.com/datasets/uciml/autompg-dataset\n",
    "\n",
    "mpg,cylinders,displacement,horsepower,weight,acceleration,model year,origin,car name\n",
    "\n",
    "mpg --> aracın mil başına yaktığı yakıtın galon miktarı (1 galon 3.78 litredir)\n",
    "cylinders --> Aracın silindir sayısı\n",
    "displacement --> Aracın motor hacmi\n",
    "horsepower --> aracın beygir gücü\n",
    "weight --> aracın ağırlığı\n",
    "acceleration --> aracın 100 km/h çıkma süresi (ivmelenmesi)\n",
    "model year --> model yılı\n",
    "origin --> Kategorik bir veri 1:USA, 2: Europe, 3: Japan\n",
    "car name --> arabanın modeli"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "        0  1      2      3       4     5   6  7\n",
      "0    18.0  8  307.0  130.0  3504.0  12.0  70  1\n",
      "1    15.0  8  350.0  165.0  3693.0  11.5  70  1\n",
      "2    18.0  8  318.0  150.0  3436.0  11.0  70  1\n",
      "3    16.0  8  304.0  150.0  3433.0  12.0  70  1\n",
      "4    17.0  8  302.0  140.0  3449.0  10.5  70  1\n",
      "..    ... ..    ...    ...     ...   ...  .. ..\n",
      "393  27.0  4  140.0  86.00  2790.0  15.6  82  1\n",
      "394  44.0  4   97.0  52.00  2130.0  24.6  82  2\n",
      "395  32.0  4  135.0  84.00  2295.0  11.6  82  1\n",
      "396  28.0  4  120.0  79.00  2625.0  18.6  82  1\n",
      "397  31.0  4  119.0  82.00  2720.0  19.4  82  1\n",
      "\n",
      "[398 rows x 8 columns]\n"
     ]
    }
   ],
   "source": [
    "import pandas as pd\n",
    "df = pd.read_csv(\"auto-mpg.data\", header=None, sep=r'\\s+', usecols=range(8))\n",
    "\n",
    "print(df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "398"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "6"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "(df.iloc[:, 3] == '?').sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "dataset_df = df[df.iloc[:, 3] != '?']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
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       "      <td>3449.0</td>\n",
       "      <td>10.5</td>\n",
       "      <td>70</td>\n",
       "      <td>1</td>\n",
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       "      <td>82</td>\n",
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       "      <td>32.0</td>\n",
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       "      <td>82</td>\n",
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       "      <td>82</td>\n",
       "      <td>1</td>\n",
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       "        0  1      2      3       4     5   6  7\n",
       "0    18.0  8  307.0  130.0  3504.0  12.0  70  1\n",
       "1    15.0  8  350.0  165.0  3693.0  11.5  70  1\n",
       "2    18.0  8  318.0  150.0  3436.0  11.0  70  1\n",
       "3    16.0  8  304.0  150.0  3433.0  12.0  70  1\n",
       "4    17.0  8  302.0  140.0  3449.0  10.5  70  1\n",
       "..    ... ..    ...    ...     ...   ...  .. ..\n",
       "393  27.0  4  140.0  86.00  2790.0  15.6  82  1\n",
       "394  44.0  4   97.0  52.00  2130.0  24.6  82  2\n",
       "395  32.0  4  135.0  84.00  2295.0  11.6  82  1\n",
       "396  28.0  4  120.0  79.00  2625.0  18.6  82  1\n",
       "397  31.0  4  119.0  82.00  2720.0  19.4  82  1\n",
       "\n",
       "[392 rows x 8 columns]"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dataset_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "(dataset_df.iloc[:, 3] == '?').sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "\n",
    "dataset = pd.get_dummies(dataset_df, columns=[7]).to_numpy(dtype=np.float32)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[ 18.,   8., 307., ...,   1.,   0.,   0.],\n",
       "       [ 15.,   8., 350., ...,   1.,   0.,   0.],\n",
       "       [ 18.,   8., 318., ...,   1.,   0.,   0.],\n",
       "       ...,\n",
       "       [ 32.,   4., 135., ...,   1.,   0.,   0.],\n",
       "       [ 28.,   4., 120., ...,   1.,   0.,   0.],\n",
       "       [ 31.,   4., 119., ...,   1.,   0.,   0.]], dtype=float32)"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "dataset_x = dataset[:, 1:]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[  8., 307., 130., ...,   1.,   0.,   0.],\n",
       "       [  8., 350., 165., ...,   1.,   0.,   0.],\n",
       "       [  8., 318., 150., ...,   1.,   0.,   0.],\n",
       "       ...,\n",
       "       [  4., 135.,  84., ...,   1.,   0.,   0.],\n",
       "       [  4., 120.,  79., ...,   1.,   0.,   0.],\n",
       "       [  4., 119.,  82., ...,   1.,   0.,   0.]], dtype=float32)"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dataset_x"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "dataset_y = dataset[:, 0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "       30. , 27.5, 27.2, 30.9, 21.1, 23.2, 23.8, 23.9, 20.3, 17. , 21.6,\n",
       "       16.2, 31.5, 29.5, 21.5, 19.8, 22.3, 20.2, 20.6, 17. , 17.6, 16.5,\n",
       "       18.2, 16.9, 15.5, 19.2, 18.5, 31.9, 34.1, 35.7, 27.4, 25.4, 23. ,\n",
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       "       38.1, 32.1, 37.2, 28. , 26.4, 24.3, 19.1, 34.3, 29.8, 31.3, 37. ,\n",
       "       32.2, 46.6, 27.9, 40.8, 44.3, 43.4, 36.4, 30. , 44.6, 33.8, 29.8,\n",
       "       32.7, 23.7, 35. , 32.4, 27.2, 26.6, 25.8, 23.5, 30. , 39.1, 39. ,\n",
       "       35.1, 32.3, 37. , 37.7, 34.1, 34.7, 34.4, 29.9, 33. , 33.7, 32.4,\n",
       "       32.9, 31.6, 28.1, 30.7, 25.4, 24.2, 22.4, 26.6, 20.2, 17.6, 28. ,\n",
       "       27. , 34. , 31. , 29. , 27. , 24. , 36. , 37. , 31. , 38. , 36. ,\n",
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      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dataset_y"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.model_selection import train_test_split\n",
    "\n",
    "training_dataset_x, test_dataset_x, training_dataset_y, test_dataset_y = train_test_split(dataset_x, dataset_y, test_size=0.20)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "# veri kümemizde sütunların mertebeleri arasında ciddi farklar vardır. Bunun için \"özellik ölçeklendirmesi (feature scaling)\"\n",
    "# yapmamız gerekir. Min-Max Ölçeklemesini kullanalım.\n",
    "\n",
    "from sklearn.preprocessing import MinMaxScaler\n",
    "\n",
    "mms = MinMaxScaler()\n",
    "mms.fit(dataset_x)\n",
    "scaled_training_dataset_x = mms.transform(training_dataset_x)\n",
    "scaled_test_dataset_x = mms.transform(test_dataset_x)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[0.19999999, 0.07493539, 0.11413044, ..., 0.        , 0.        ,\n",
       "        1.        ],\n",
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       "        0.        ],\n",
       "       [0.6       , 0.49095607, 0.34782612, ..., 1.        , 0.        ,\n",
       "        0.        ],\n",
       "       ...,\n",
       "       [0.19999999, 0.22739018, 0.25      , ..., 1.        , 0.        ,\n",
       "        0.        ],\n",
       "       [0.19999999, 0.13953488, 0.18478262, ..., 1.        , 0.        ,\n",
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       "       [0.19999999, 0.13436691, 0.22826087, ..., 0.        , 1.        ,\n",
       "        0.        ]], dtype=float32)"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "scaled_training_dataset_x"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[1.        , 0.73126614, 0.5543478 , 0.8630564 , 0.32738096,\n",
       "        0.4166665 , 1.        , 0.        , 0.        ],\n",
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       "       [1.        , 0.49612403, 0.34782612, 0.49673945, 0.4464286 ,\n",
       "        0.6666665 , 1.        , 0.        , 0.        ],\n",
       "       [1.        , 0.8578811 , 1.        , 0.7555996 , 0.08928573,\n",
       "        0.25      , 1.        , 0.        , 0.        ],\n",
       "       [1.        , 0.64599484, 0.56521744, 0.81797564, 0.38690478,\n",
       "        0.4166665 , 1.        , 0.        , 0.        ],\n",
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       "        0.08333349, 0.        , 0.        , 1.        ],\n",
       "       [0.19999999, 0.04651162, 0.10326087, 0.11511201, 0.5       ,\n",
       "        0.8333335 , 0.        , 0.        , 1.        ],\n",
       "       [0.19999999, 0.09560724, 0.1521739 , 0.10405445, 0.43452382,\n",
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       "       [0.19999999, 0.05684754, 0.15760872, 0.14516586, 0.38690478,\n",
       "        0.3333335 , 1.        , 0.        , 0.        ],\n",
       "       [1.        , 0.96124035, 0.91847825, 0.7652396 , 0.02976191,\n",
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       "       [1.        , 0.64599484, 0.56521744, 0.51686984, 0.17857146,\n",
       "        0.        , 1.        , 0.        , 0.        ],\n",
       "       [0.19999999, 0.11627908, 0.26630437, 0.17436916, 0.35714287,\n",
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       "       [0.19999999, 0.07751937, 0.07608697, 0.15622342, 0.8392858 ,\n",
       "        0.5       , 1.        , 0.        , 0.        ],\n",
       "       [1.        , 0.72868216, 0.6467391 , 0.58973634, 0.20833337,\n",
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       "        0.25      , 1.        , 0.        , 0.        ],\n",
       "       [0.19999999, 0.07493539, 0.22826087, 0.18882906, 0.65476197,\n",
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       "       [1.        , 0.72868216, 0.5380435 , 0.69237316, 0.23809522,\n",
       "        0.5       , 1.        , 0.        , 0.        ],\n",
       "       [1.        , 0.64599484, 0.56521744, 0.60731494, 0.35714287,\n",
       "        0.5       , 1.        , 0.        , 0.        ],\n",
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       "        0.08333349, 1.        , 0.        , 0.        ],\n",
       "       [1.        , 0.6098191 , 0.56521744, 0.5837822 , 0.20833337,\n",
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       "       [0.19999999, 0.07622738, 0.18478262, 0.1454494 , 0.5357143 ,\n",
       "        0.16666651, 1.        , 0.        , 0.        ],\n",
       "       [1.        , 0.64599484, 0.56521744, 0.70399773, 0.29761904,\n",
       "        0.08333349, 1.        , 0.        , 0.        ],\n",
       "       [1.        , 0.64599484, 0.56521744, 0.6135526 , 0.26785713,\n",
       "        0.25      , 1.        , 0.        , 0.        ],\n",
       "       [0.19999999, 0.07493539, 0.11413044, 0.15083641, 0.59523815,\n",
       "        0.8333335 , 0.        , 0.        , 1.        ],\n",
       "       [0.6       , 0.47028422, 0.2826087 , 0.54210377, 0.65476197,\n",
       "        0.5833335 , 1.        , 0.        , 0.        ],\n",
       "       [0.19999999, 0.1136951 , 0.22826087, 0.29118234, 0.6309524 ,\n",
       "        1.        , 1.        , 0.        , 0.        ],\n",
       "       [1.        , 0.501292  , 0.34782612, 0.45591152, 0.32738096,\n",
       "        0.4166665 , 1.        , 0.        , 0.        ],\n",
       "       [1.        , 0.73126614, 0.6086957 , 0.77969944, 0.29761904,\n",
       "        0.25      , 1.        , 0.        , 0.        ],\n",
       "       [0.19999999, 0.12403099, 0.23913044, 0.14459884, 0.35714287,\n",
       "        0.08333349, 0.        , 1.        , 0.        ],\n",
       "       [0.19999999, 0.12403099, 0.1902174 , 0.17210096, 0.52976197,\n",
       "        0.5       , 0.        , 1.        , 0.        ],\n",
       "       [1.        , 0.75452197, 0.67391306, 0.86220586, 0.29761904,\n",
       "        0.25      , 1.        , 0.        , 0.        ],\n",
       "       [0.19999999, 0.07751937, 0.11956522, 0.14800113, 0.51190484,\n",
       "        0.6666665 , 0.        , 0.        , 1.        ]], dtype=float32)"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "scaled_test_dataset_x"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# modelimizde 2 saklı katman olabilir. saklı katmanlar için aktivasyon fonksiyonlarını 'relu', çıktı katmanı için de \"linear\" alabilirz.\n",
    "# Optimizer algoritması olarak \"sgd\", \"adam\", \"rmsprop\" herhangi birini seçebiliriz. rmsprop seçelim. Lojistik olmayan regresyon modellerinde\n",
    "# loss fonksiyonunun genellikle \"mse\" ve metrik değerin de \"mae\" olarak kullanılır.\n",
    "\n",
    "from tensorflow.keras import Sequential\n",
    "from tensorflow.keras.layers import Dense\n",
    "\n",
    "model = Sequential(name='AutoMPG')\n",
    "model.add(Dense(64, input_dim=training_dataset_x.shape[1], activation='relu', name='Hidden-1'))\n",
    "model.add(Dense(64, activation='relu', name='Hidden-2'))\n",
    "model.add(Dense(1, activation='linear', name='Output'))\n",
    "\n",
    "model.compile('rmsprop', loss='mse', metrics=['mae'])\n",
    "model.summary()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "hist = model.fit(scaled_test_dataset_x, training_dataset_y, validation_split=0.2, batch_size=32, epochs=200)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "\n",
    "figure = plt.gcf()\n",
    "figure.set_size_inches((15, 5))\n",
    "plt.title('Loss - Epoch Graphics')\n",
    "plt.xlabel('Epoch')\n",
    "plt.ylabel('Loss')\n",
    "plt.plot(hist.epoch, hist.history['loss'])\n",
    "plt.plot(hist.epoch, hist.history['val_loss'])\n",
    "plt.legend(['Loss', 'Validation Loss'])\n",
    "plt.show()\n",
    "\n",
    "figure = plt.gcf()\n",
    "figure.set_size_inches((15, 5))\n",
    "plt.title('Binary Accuracy - Epoch Graphics')\n",
    "plt.xlabel('Epoch')\n",
    "plt.ylabel('Binary Accuracy')\n",
    "plt.plot(hist.epoch, hist.history['binary_accuracy'])\n",
    "plt.plot(hist.epoch, hist.history['val_binary_accuracy'])\n",
    "plt.legend(['Binary Accuracy', 'Validation Binary Accuracy'])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# loss: ...\n",
    "# mae: ... -> bu değer gerçek değer ile tahmin edilen değer arasındaki ortalama sapmayı belirtmektedir. Yani \n",
    "# biz bir tahmin yaptığımızda tahmin ettiğiiz değer gerçek değerin ortalama mae değeri kadar uzağında olacaktır.\n",
    "eval_result = model.evaluate(scaled_test_dataset_x, test_dataset_y)\n",
    "for i in range(len(eval_result)):\n",
    "    print(f'{model.metrics_names[i]}: {eval_result[i]}')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#tahmin işlemini yapalım.\n",
    "predict_data = np.array([4., 113., 95, 2228., 14., 71., 0, 0, 1], dtype='float32')\n",
    "predict_data = mms.transform(predict_data)\n",
    "predict_result = model.predict(predict_data)\n",
    "print(predict_result)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# birden fazla data'yı tahmin etme\n",
    "predict_df = pd.read_csv('predict_data.csv', header=None)\n",
    "predict_data = pd.get_dummies(predict_df, columns=[6]).to_numpy()\n",
    "\n",
    "scaled_predict_data = mms.transform(predict_data)\n",
    "predict_result = model.predict(scaled_predict_data)\n",
    "\n",
    "for val in predict_result[:, 0]:\n",
    "    print(val)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "model.save('auto-mpg.h5')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Modeli yükledikten sonra predict işlemi yapmadan önce bizim predict edilecek verileri feature scaling yapmamız gerekir. Halbuki bunun için oluşturmuş olduğumuz MinMaxScaler nesnesini biz bir yerde kaydetmedik. Sınıf nesnelerini içlerindeki verilerle diske bir dosya içerisinde saklayabiliriz. Bu işleme \"nesnelerin seri hale getirilmesi\" (object serialization) denilmektedir. pickle\n",
    "\n",
    "import pickle\n",
    "\n",
    "with open('autompg.pickle', 'wb') as f:\n",
    "    pickle.dump(mms, f)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from tensorflow.keras.models import load_model\n",
    "import pickle\n",
    "\n",
    "model = load_model('auto-mpg.h5')\n",
    "\n",
    "with open('autompg.pickle', 'wb') as f:\n",
    "    mms = pickle.load(f)\n",
    "\n",
    "predict_data = np.array([[8,307,130,3504,12,70,0, 0, 1]], dtype='float32')\n",
    "predict_data = mms.transform(predict_data)\n",
    "\n",
    "predict_result = model.predict(predict_data)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---------------------------------------------------"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [],
   "source": [
    "import seaborn as sns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>mpg</th>\n",
       "      <th>cylinders</th>\n",
       "      <th>displacement</th>\n",
       "      <th>horsepower</th>\n",
       "      <th>weight</th>\n",
       "      <th>acceleration</th>\n",
       "      <th>model year</th>\n",
       "      <th>origin</th>\n",
       "      <th>car name</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>18.0</td>\n",
       "      <td>8</td>\n",
       "      <td>307.0</td>\n",
       "      <td>130</td>\n",
       "      <td>3504</td>\n",
       "      <td>12.0</td>\n",
       "      <td>70</td>\n",
       "      <td>1</td>\n",
       "      <td>chevrolet chevelle malibu</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>15.0</td>\n",
       "      <td>8</td>\n",
       "      <td>350.0</td>\n",
       "      <td>165</td>\n",
       "      <td>3693</td>\n",
       "      <td>11.5</td>\n",
       "      <td>70</td>\n",
       "      <td>1</td>\n",
       "      <td>buick skylark 320</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>18.0</td>\n",
       "      <td>8</td>\n",
       "      <td>318.0</td>\n",
       "      <td>150</td>\n",
       "      <td>3436</td>\n",
       "      <td>11.0</td>\n",
       "      <td>70</td>\n",
       "      <td>1</td>\n",
       "      <td>plymouth satellite</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>16.0</td>\n",
       "      <td>8</td>\n",
       "      <td>304.0</td>\n",
       "      <td>150</td>\n",
       "      <td>3433</td>\n",
       "      <td>12.0</td>\n",
       "      <td>70</td>\n",
       "      <td>1</td>\n",
       "      <td>amc rebel sst</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>17.0</td>\n",
       "      <td>8</td>\n",
       "      <td>302.0</td>\n",
       "      <td>140</td>\n",
       "      <td>3449</td>\n",
       "      <td>10.5</td>\n",
       "      <td>70</td>\n",
       "      <td>1</td>\n",
       "      <td>ford torino</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    mpg  cylinders  displacement horsepower  weight  acceleration  model year  \\\n",
       "0  18.0          8         307.0        130    3504          12.0          70   \n",
       "1  15.0          8         350.0        165    3693          11.5          70   \n",
       "2  18.0          8         318.0        150    3436          11.0          70   \n",
       "3  16.0          8         304.0        150    3433          12.0          70   \n",
       "4  17.0          8         302.0        140    3449          10.5          70   \n",
       "\n",
       "   origin                   car name  \n",
       "0       1  chevrolet chevelle malibu  \n",
       "1       1          buick skylark 320  \n",
       "2       1         plymouth satellite  \n",
       "3       1              amc rebel sst  \n",
       "4       1                ford torino  "
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_csv('auto-mpg.csv')\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(398, 9)"
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 398 entries, 0 to 397\n",
      "Data columns (total 9 columns):\n",
      " #   Column        Non-Null Count  Dtype  \n",
      "---  ------        --------------  -----  \n",
      " 0   mpg           398 non-null    float64\n",
      " 1   cylinders     398 non-null    int64  \n",
      " 2   displacement  398 non-null    float64\n",
      " 3   horsepower    398 non-null    object \n",
      " 4   weight        398 non-null    int64  \n",
      " 5   acceleration  398 non-null    float64\n",
      " 6   model year    398 non-null    int64  \n",
      " 7   origin        398 non-null    int64  \n",
      " 8   car name      398 non-null    object \n",
      "dtypes: float64(3), int64(4), object(2)\n",
      "memory usage: 28.1+ KB\n"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['130', '165', '150', '140', '198', '220', '215', '225', '190',\n",
       "       '170', '160', '95', '97', '85', '88', '46', '87', '90', '113',\n",
       "       '200', '210', '193', '?', '100', '105', '175', '153', '180', '110',\n",
       "       '72', '86', '70', '76', '65', '69', '60', '80', '54', '208', '155',\n",
       "       '112', '92', '145', '137', '158', '167', '94', '107', '230', '49',\n",
       "       '75', '91', '122', '67', '83', '78', '52', '61', '93', '148',\n",
       "       '129', '96', '71', '98', '115', '53', '81', '79', '120', '152',\n",
       "       '102', '108', '68', '58', '149', '89', '63', '48', '66', '139',\n",
       "       '103', '125', '133', '138', '135', '142', '77', '62', '132', '84',\n",
       "       '64', '74', '116', '82'], dtype=object)"
      ]
     },
     "execution_count": 53,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['horsepower'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [],
   "source": [
    "df['horsepower'] = df['horsepower'].replace('?', '0')\n",
    "df['horsepower'] = df['horsepower'].astype('int')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([130, 165, 150, 140, 198, 220, 215, 225, 190, 170, 160,  95,  97,\n",
       "        85,  88,  46,  87,  90, 113, 200, 210, 193,   0, 100, 105, 175,\n",
       "       153, 180, 110,  72,  86,  70,  76,  65,  69,  60,  80,  54, 208,\n",
       "       155, 112,  92, 145, 137, 158, 167,  94, 107, 230,  49,  75,  91,\n",
       "       122,  67,  83,  78,  52,  61,  93, 148, 129,  96,  71,  98, 115,\n",
       "        53,  81,  79, 120, 152, 102, 108,  68,  58, 149,  89,  63,  48,\n",
       "        66, 139, 103, 125, 133, 138, 135, 142,  77,  62, 132,  84,  64,\n",
       "        74, 116,  82])"
      ]
     },
     "execution_count": 55,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['horsepower'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>mpg</th>\n",
       "      <th>cylinders</th>\n",
       "      <th>displacement</th>\n",
       "      <th>horsepower</th>\n",
       "      <th>weight</th>\n",
       "      <th>acceleration</th>\n",
       "      <th>model year</th>\n",
       "      <th>origin</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>18.0</td>\n",
       "      <td>8</td>\n",
       "      <td>307.0</td>\n",
       "      <td>130</td>\n",
       "      <td>3504</td>\n",
       "      <td>12.0</td>\n",
       "      <td>70</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>15.0</td>\n",
       "      <td>8</td>\n",
       "      <td>350.0</td>\n",
       "      <td>165</td>\n",
       "      <td>3693</td>\n",
       "      <td>11.5</td>\n",
       "      <td>70</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>18.0</td>\n",
       "      <td>8</td>\n",
       "      <td>318.0</td>\n",
       "      <td>150</td>\n",
       "      <td>3436</td>\n",
       "      <td>11.0</td>\n",
       "      <td>70</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>16.0</td>\n",
       "      <td>8</td>\n",
       "      <td>304.0</td>\n",
       "      <td>150</td>\n",
       "      <td>3433</td>\n",
       "      <td>12.0</td>\n",
       "      <td>70</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>17.0</td>\n",
       "      <td>8</td>\n",
       "      <td>302.0</td>\n",
       "      <td>140</td>\n",
       "      <td>3449</td>\n",
       "      <td>10.5</td>\n",
       "      <td>70</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    mpg  cylinders  displacement  horsepower  weight  acceleration  \\\n",
       "0  18.0          8         307.0         130    3504          12.0   \n",
       "1  15.0          8         350.0         165    3693          11.5   \n",
       "2  18.0          8         318.0         150    3436          11.0   \n",
       "3  16.0          8         304.0         150    3433          12.0   \n",
       "4  17.0          8         302.0         140    3449          10.5   \n",
       "\n",
       "   model year  origin  \n",
       "0          70       1  \n",
       "1          70       1  \n",
       "2          70       1  \n",
       "3          70       1  \n",
       "4          70       1  "
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = df.drop(columns='car name')\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [
    {
     "ename": "AttributeError",
     "evalue": "module 'seaborn' has no attribute 'pairplot'",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mAttributeError\u001b[0m                            Traceback (most recent call last)",
      "Cell \u001b[1;32mIn[57], line 1\u001b[0m\n\u001b[1;32m----> 1\u001b[0m \u001b[43msns\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mpairplot\u001b[49m(df)\n",
      "\u001b[1;31mAttributeError\u001b[0m: module 'seaborn' has no attribute 'pairplot'"
     ]
    }
   ],
   "source": [
    "sns.pairplot(df)\n",
    "# https://seaborn.pydata.org/generated/seaborn.pairplot.html"
   ]
  },
  {
   "attachments": {
    "image.png": {
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1Wq3ZbM7Pz8/Ozl5eXl5dXbXZXOvaru1drl69mpub63pQ4vPZQsBut+PDrlKprl692tjY6LFnaQeh+vbRKwG7o/ev0jrnVvSfbDDqMWHyAI8JEIRGZzfSamQJFWLJ8LLtGyVdGgwGfOhLS0uvX7++trb2SSTP/A4QBK+sG0toypA8QXPnhFbnQaIi1GPCYLZFleyZRo8r7/vkGwgWuPX1dXzoHz9+/ODBA+yvHruCjwu9e+o0pgra9nlMQBAsU608imNj46x3Ipgd0jlP0IAesScQ3MsVKLVafenSpaCgIBKJ5OfnJ5VKY2Jinjx5EhAQ8PLly4qKCqvViv/Ojb3LX//6V4J74fE5k+szMzP4sF+5cuVvf/ubZ3IvEIIAO2ix2gveKy760bBb1S8x7PG5zdMVHRiGrQBosR1Jr3ZMp1ZRUYEP/ffff//vf/+b4F4Y2nY7ZPJU/Y3BZHuZ2oFdAl4kyh/pnUaz6+s0di4uK8+fP8eH/i9/+cup4F7oWXhyXFxwPvAjDMN2ELKDEDruBUJQl3z+dngbFs0fQ1pp/MlTZKJBcC/XQGu1Wj6fv7GxYTAY0tPTnz59KpfLx8bGrFbr2NjY//3f/w0ODuK/07p3+eGHHwjuhcfnTK7rdDp82Ovq6ry8vDyNe0EQvLFlaRPO1LePDk6siZRLt8MZ6K3Km0TJrJNr9XveIs5epGAYtgHg16uq8cgMDw/jQx8eHn758uWzzb1gGAbsoPWbUl58CL54HYSgFv4k5jfhQ6Y0cse6B+YNR5sb7ejowIf+6tWrp4h7fRI0T44y6vJF7Zqkdk3Or+ghCGFg86v6sPzd/JtXaR0Tc+5xD/kkVm7ZgeBerjBOTU0JBAJ0K4PBuHTpUldXF3Zv9fb25vP5rt/BfSb0XjgwzsuqZ+q9NrbMIXmCn8IY14LovyVweBJ1h3QuKFfwOK49r0kxvbB1uqSpn9uZQBAaV28WUgbz3ytGptftdvBzj3CU/c+83guCoLllXWmLMqexXz66+s39dY8SlEP22TJYGzhjv6d2vEzhFVOVkcXCe1HMaqbqCxJ4T4Xe6xAo8H/y8Cgvrhl+T+24EdJ6I6T199SOxTWDw+Gw26GhSU3yW8n9KFZ0iUg6snL06WP8uX+rdYJ7uSKvUChu3LgxMjKyuLh4/fr1zMzMgICA4uJig8FQV1f3z3/+U68/TCVDcC9XQM/BZw/kXiAIUbsmMHE6mhi4tmnSGa1rmyaz1Q47lzMcnJnFrR9DWi/4Un18qT8G01XTG8dxsmeee82v6G+GbsN4PYjeq1g8DhhP7JjoUOjQlCansf/niDY0//FpIlfx+SmZZ4l7eXKUATuYUSfD5ha9SJSMOjlgRyxCIAg2moGVdaPBhNS6wGT4J9advuaHCO7lip7NZqNQKDdu3Lh06VJhYSEIgmNjY2Qy2cvL69mzZ9PT065f2PuZ4F578TgXnzyQe1ls9qyGfiy13otEuR/Fml3SnYF4oPfcw++zNgCMK+/D36+jSkTHMWZztrkXAIDZjf14GEPyeix7sxyOEg6P6nV2EGoVTP2IsyK7GdrKk859rt/EmeFeh0f5m8fXYLI9Sdx1aPMiUZ4mcjGnCY/qWp/VGIJ7fRZcn96Z4F6fxujM7eGB3AuEoA7Z3JUARFx/2Z92P4r1pl6+ZTjdAi9Eb2uHFtcMfUNLQ1OaQ1LljWbbq/RtvwOUOvye2nF0VfXRe+jZ5l5mCxC511/3aSJXjzNYsljto7MbQuWielnnXl0dPgSozhrc0Vnj//QF6xAMD0+vv0zdNbsnZ3aNf75U6Mxwr49FGR0jVC/rhMrFkZl1swUZLP8CwL/gKzAMgzvKejsIVTF3Hdq8yZQqpsoOQl9wWI/6CsG93BwOgnu5GdDTcDgP5F4Oh0NvtBVTlQHZ/IQKcXSJqJqpWl43nmqNFwhBgxNrkcXCOxHMJ4mcYqpS9xE2CTqtPjFVtTeZ8r5j4nMHNo7S9c429wIhiCtR42GsaB3GYDSagSbu+MtU3u3wttA8gXBw6ThKaIMgNLukY/RMs/tmVzZMbunAFqu9rXeGnNl1M7SVnNnFEau/YEz0zHCvj0XZDkLCwaXQPMHt8LZnydxa1ujJjDZBEKzRmjniWbpgamphC7CDG1vm9BrZw1j2w1h2eo1sY8t8lGvTw/chuJebA0RwLzcDehoO55ncC4ZhkwXgSdUvU3k3Q1tvhTOCcrpX1o2nAdGD27hlsCbi3O2vBLSwRbMfc/TRG601LNWLFN7zZN5bxsim7lhqb59t7uVwOIwm23vexKv0zicJnCKKcskpc3Y4HBAEi4eXf4nZNVgKL+hdXDO4fWhkdkmHkiQ3dmDErMRmn5zXCgYWJue1VtuX1Bc6M9zrY1Fe2zSF4wp5/RzR1qNYdAv3Pfjy3tm6tmEKyRXcft12M7SVlN6pnEAqIGn1lv6x1f6xVa3eg3zjdpr8Jf8nuNeXoHbIdwjudQg4Z/VPnsm9HA4HAIApVRK8XqeIojxFFjguHWZmceteFBM7HW8yJaVK8rHKQogrrM2+pDEsrhnQ3AKXo7nl45nnXujE08q6cWFVbzIDWI0gGwBWtY3g3Xp/ft3WP7bqXu61X2ftxg78lUqms8S9Doyyamb99utdA61L/rQSqtIKHEu+MHYx2u1QReswdo0jRdkrxOh0NgTDTj39Cc17Yk06ppVzwb2QjmWzGQwGtCgQ+l8AAI4DU4J7HQeqHn5Mj+VeWwbLL7G7IxNeJMqrtGORPZ1MgNa3zMF5Auy+fNGPWt8+hmY8nUwD9v/KmeFeaN7r0bNfQQjiSdU/457NpIyumcUt93IvndH6aKecHxp3z+nAHsW9sPDt76JfvGVxzYAVifIiUW44zUuPO0XaaLYF5nRj17gXifJLNOu0C1UPDMG54F7r6+upqanXrl27iFu4XO6BiHzlRoJ7fSWAp/Hrnsm9IBg2W4EcXJ6aN4lSfWplqjAM64zW5s6Jh7Hsa0H0m6Gtf6R30gXTQ5OabziSdza4FwTBm3rL8JRmdHbjiEajDodjfcucWCm+Fc64EthyP4rVxBs3u7u6ud0OFTYPYk/i7Q5sh0AQAp2mAt/wduEh3Asdsppd0slUK/OregD4kvnTA2EE7GBL99TDWPbVwJafwhDFQhF1sKxlaOkYZpaxBthBqIEz5k2iYEHPqEUcJbAdzszKueBe/f39v/zyC4vFGhgYUOwsGxvH4vdzJrnXUd6Gj7LPmblsXE7E07gXWoRxeHqd3j3FFs1EFAnvRjIfRLMSKyXr2tMqU9XqLUWUwYQKcTl9KLZUFF0iSqmS3gxtDcvvmV/Vu3e4xSW+h3w8G9xrcdWQWSd/GMv+LYFT2Dx4lJrEMAyrZteLmgdjSkXhBb0JFeI69uj61m6p40NA+6w/La4aoop3O/DahmlJY+iQznXK5lbdJL3/rPZgO3sI9zJb7UzhjN+brlvhjJA8AV8+b7W5h6mgglGpaiWrXh5TKoot67seTPcmU0pbhr4gNQHD7ZAVGEb8uoSDi1HFwgfRrDsRzIjC3rHZU1b67JATxP/pXHCvwcHByMjIYyJbeDQdDsdZ5V6dsnl699Qh/zpl89/q+ecSgpP/6Gncy2pD0rhepvKuB9NfpvDy3yk6pHN9Q8ubOsvnSmXRt2qzFTBbALe/fQJ20GwFPiaWx8cRBKHmjglvMuVBNCuhQvwqreN+NAt9M/75dVt3/8JRDoI/oLvWzwD3soNQaYvyZmirfxafnNF1JaCl+Qg5oYAdbOSMXQ+m341k/hrPuRna+iCapZxEZNHuwhY9DgRBy+vGXsUi2oHnlnVh+T0/v267E9H2urB3deNIuSMQhIwBox0YFdpbga91TDhJ7gWCSJXM/cYKMAwPTmieJu3aX/ln8SfntW6MgtkK5L9X3Ivavty8SJQniVyN1uTeKCPZGzCsN9k4fbPkjM7QPEFsWd9bxvC4etNsPRZ1kNvb/7kHPBfcS6fT5eXlRUdHNzY2UnYWtVr9uWAdZf8zyb0cDkdGrTwkr+eQfxm18qPgcyb38SjuBcPw5LyWnNmFDdo/imvvG1rGytAePQQgCE3Na5nCabpgKr5CXEgZXFwzQNCRnHXsdkhvtH6MriEPVI2xhKaML+/jStRbBovBZAU+LuM1mm2+b5AzuhPBjC4R3dopTOlFojyMZUtHVvZzSgAADSbb/sfV0U//KHueAe6lM1pjy0Xl9OHgXEF4YW8tezShog9fYwclKyYLgAcZBCFGz/TNsO0KoV4kyrMk7sdcslDqY3FWUzgKqi77oKJ4CELKSuY07fF6LaQMHj7jjA6ldMnnEyvFRZTB+VX90JQms06e1SBXzWxgfhkuv3iUjyfDvWAY3tRZKF0TEUXCOvaoRmvGR8EOQu87xq/jfGJ/CmN0yA72iUWHw83W7TjaANBotn0SAQAAC5oV2M3Ei0Txz+K7CLAAO6g3Wg8PxOGQ2gBQPrqaWi2NKhbWskcfxbVHFgubuOMJFeKCZsXCKlLD8fAjnLq/ngvuNTs7+9NPP/35z3/++9///r87C5PJPI5onVXulVYtC8oRHPIvrVp2HHieimN6FPeCILh7YOFGaCt2u7wa2NLIQTTpnwvm7OLW/ShWacuQjy8VPdrN0FbMZeBjR0PseTZNZfShX+M5OU39y5oDTMVW1o0PdgaufMiUEpoyOFeQXCVBC+ViR4acNhlGs80GgJn1crQNCRVi3x1m6U2mpNXI9EYb9hWn/QE0v6JPrpI8T+Y1cEY3dceYlH4GuJcNAHnSuQs7Ib7oRx2YWMN6CwhCo7MbkcVCvyw+TzpntuwOQqxrzVggfolhM3tn9AcVpQYAsG9oKThXEJrfIx9d/eTDHh9Kl3WdwYp3tfAiUR7HtWNery47ox8BO0TtmsQ68I2Q1hqmCq33cNGPOr2wdeC3jrLxZLiX3mhLq5FhBSrC8nvwbikQBPP75+9G7ib//hrP6R9bw9JRkbqHIKQzWs0Wm3JSE5rfE5wrkIwsTS1sxZX3vUIUk1N6o/XwcbKFVf0lf8Sl2YtE8fGlOo1dtkc3IQhe1hg/XOa/xnPK6EMbXzrpLB1ZwfdAfv9CDVOFRe2SP21h9bBSfkeJl6ftcy64l0QiefHixerq6gmgT3CvEwDZ037Co7jXAeNese3i4WX86zIGIOT0jz7wzmsDwOQqSVxZ3++pHRiNu+BL/TBAgj2YseNgKzAMr2vN8eV9mFo2ILt7SbPH9sluh2rZqssBLdhhnyVzY8uQEkC/xnNml3Roe8wWgNEzTc7s+iO9k8afnF7Q/pbAuRZEvxfFbOKOv2WMRBYLKV2TGq1Js2lSzW4srhnQnMfZJd2v8Rz04N5kSl7TgN5oO/AcsWZ/8co3516oA/gRzw6dQV5Y1atmN9a1ZnQo1GK1h+b1YLHwIlGSKiVoWWIYhocmNRf8tpm3jy+V0TONPdchCF7bML1tG8ltGihrGXqRwgvI5ndI5/CuHzAM9yoWscfqh/Ka8tEv96H4gnGvlQ0jPlnvgi81qkTkn8W/EdLqQ6bElH55panj4F7YCB8aUAiCJSPLH0Z2sej8/LqNK5nDz7DrDNaMWvlPYQxUYPCWMTKu3jSaAfRQ8yv6EqrytwROaF5PLUv1JJFzJaClrGUIGyrzIVNqWCqXOlEulwMEQQur+oLmweQqSa9i0WxBDu5wOGAYXtIYArL529caiZJeI/sC/y2kB+bv6YHRJaK894oboa1YRdqC5sFDbjsuDT4VH88F9xodHY2Li1Or1Scwbklwr1PR793bSPdyL7SCytdYJ+zovTquB9N/TeBUtY3sL6eDzsX0j612SOcOtJf8oC8JyROk1cjwSf4+ZGpWQ/8hSlsIgkXKpfs4dcitcAZLNIuNdjh/15b3TnHRb/tNGkkjj2EXUZT3oljXg+j17aNWZKoQ4knnsBdfHzKlrXdGvaxr5I7XsFRIQSGzzWQBrDa7YnwtvrzvXhTTP3F0lwwAACAASURBVIvfLprVG231nNFrQbvE7td4jmpm44js5HM7xjfkXugU0ujsBkesHprSYE/Ej50CGnEnne28F8WML+9TjK/ZQWhDZ36evFtgx4tECcrp1huR8lNWmz25SuJDpjyIYT+Ka78a2OKb2YWfjnQ4HDYArGsfxQZmfHypvYO7DpxmKxCUu8cyICzftSLkxxqMOrjaEEHgrobsw8jojt6LeRS919yK7nF8O8ZdfgpjZNXL894pYktFIXmCkFyBy+kc0hiXP7mde0EQ8t7SO7goUi6tO+cWQQji98/jjTxuhLS2dE9hM+komdZoTYye6Qr60Jv6/t8SOE+TuGW0oS2DVWewZjfuFnX9KYyRXisLzhWEFfRgV5YXifIihbekMbic3f6PgB202Oz4WNhBiCWccREA9I+tYux8/0H2b4EgxDcVX+LpWhA9rUZa0TocW9aHxDoC8RhLrpIcThD3H9nDt5wL7jUxMXH79u0HDx4EBweH7yxy+bHokwju5eE9/jia50buBUHIfFkjd6yGpRpTb37Zqx4q0Bmf2+RKPvpU1hms+e8Uv8Swb4S0vkrr4IrV6FAHhg86nfEyhYef8rgeRJePruLvv9j+6Mp+7vVTGIPaNYkxA6vNzhLOVNCHf9qRCjktUqWp1dKYUlFWQ39e00BL95SLZM2LRPkjvdNothlMNsnIcjl9iNI1odk0L60Z8AUHH8ay+4aW69vPBfcyW+3UrsnnydxDGDYWHavNPjG32cKfvON8kqFcJLJYuKQxmsy2qrYRrHCQjy+V1jU5ML5qMNksVntu00BO40BksTC8oDe9Vpb8VuJCVgwm27PkXa23F4kSXSLChr6+mHvBMLylt7b3zRY2D/YoFjDnCwiCVjdNwsEljKBg53jgiskMFFEGUWroTaaUtQwFZPNvh7fdft3mn8Xny+cP6cwHHhDb6Hbu9SFv4HVhLz6NAIbhxTVDRGEvxh1J6Z1TC9smanYQmlncEg8vc8SzLd1T5fRhjAF7kykNnLEx9QZ+zOyiHy0svyetRvZl3As7cWzlK7kXDMN6o61LPl9EGaxhqdAe6E1CBqpD83vuRjJ/CmP8kd5Z0Dx4yY/6sZF7rDGnbuVccK+lpaWCgoIc55K7s6hUquOIFsG9jgNVDz+mG7nX4qoBnVm7GtjyKJY9NKn54nM/ZDYKNcbEv7AG5nRPzG26qN3NFqBTOlfHVuU2DTxJ4ITk9fQqFg8Z9EKnIVzmHF+ldbypl/Mkc+gM1+S81jez63kyr4alCszp/i2e86ZenlYjuxnaej2YHpjTXe6kZfHlfdHFIuyR40WiRBQJjWaAJ1Hfj2ZdDmi5HkwnZXT2KhbxZOJqYEsNSzUxt3nm5xxhGB5BCkLvTgc/+vjMssPh6FEsovwJE+44ExfaBsbXIAgemlwvoSpfpPBIGZ21LFV3/8IvMexa1qjJAignNY+chmpXAlruRTHZolnIWZDHZN5OULVY7S4jW2/q+zEe/8VzjthU2iV/2s8RbbWsUbPFjmm6IQh22nvtjodhl4kNALG2odlzS2uGitbhp4ncrIb+jBoZvlMVNH9Cqo8ddv+Ke7kX4mRG2SNpR9MI7CA0NruZUSv/JZoVXyFWTmiw97HJOW1kkTCzTn47nJFZL3+SuD3Pjp7g82TeuHrzZcpuD7kcQIspFb1M5dWxRzPr5eSMLm8y5ShzjvvPHd3yNXOOMAwbTDamcOZJAueSPy2qRFhKG/o9rSOhQpzTOICPUWxpn0i5hLH5jzUG2451EmyLZ66cC+51ktAT3Osk0faQ33IX9wLsu4py9O4TXSLCHmNfdrIWm11vtGJTfuhBrDZ7/vs9s34/hTFy3w3sV7vDMGy2AHqTTWe0WmxIWr7ZChhMNrziBN8wixX5uZV1QzFV+Vt8e0q19AMZuhXOCMju1mjNZqu9QzqH5gH4kClxZX20rsmoYuGrtI68dwPRJaKboa1xZX0PY9k+ZIpkZAVTe1zwow5PrWu0Jkxc4kWiXPanvW0bwfOPW+Ft7X1qwA46tfZSp9Z+7Exq7UEQau+bxVQ7XiTKIRkVNgAMyRM8jGHHlIrwX/k9rWNqYUtvsionNZLh5Yb2sTr2KE8691sC8hR/lsxTTmny3u15EL4u7J1f0UeXisiZXSzRjNGMCOm6+xcwRddFP+rcsg7fJQAAVIyvNXDGGjhjQ5Mal66I3xNb3y8hf5bMEw4u5e5oujWbBxTVBp3jQHHlfWjb1jaM2HsCYAfXtaa1TePnSvWxJu1fcS/30u9z8MenEQB2cMtgRW8FIIhkEBvNtpQqSUyJKLa0L7uhv5o5El2y510luUq6sWUuoSmxEc17UUyOeJYtmqXzJ+vYo+9442zRDE+i/pjWHkLctpCZ/UPmEHe09gO/IVr74SNq7S1WYGB8LbygNyCbT+ue+j0NIYjPk7lS1cr6ltkva1tAht4D70cxN7bMWwbLJ/ModxrztcL//bE+ji3ngnuZTCYajUYmk5/iFqFQeByAEtzrOFD18GO6i3thTgrYa99vCRyXJD4UChiGATu0sm4cntKsrBsBOwhCkMtIgM1m71UshuQJniRyK1qHl9YMwI50Bn1yY7N+XiQKKaMrvACZ2sCr3V1gtziZU0A2/0UKr7591MWm1WK1d/cvBOV2P0vmVrWNULom0mpk6Ls1KiFi981GFPUmVkow8f5FP1pOY38hZTC1Wvoorj04V1DDUlW2DhVRBm+EtMaXiwYnNVkN/Zl1cplqZW5Zh5gulghvhTHQuRUfMiXpreQdb/xuJPOyP+1maGtipRjzBQWcKfSYMsblXNz18VvpvT5r3GvLYHkYy77kT8t7pwjM6f4xmH7Zn3Y3kvmONyYcXIwo7P0lhp1eK++UzWXUyrASjbfD2/j98yG4Ik6It1MCp5Y1ElfWl1Il9c3sauudttshi9UuHl5OrZbmvVPMLG65sCuD0UbrmvwjvZOc0cXomcZnSh4YBQhCCl27WCfcDmckvRVfC6J7kSjeJEp8eR+iiHJmihjNwPTilnpZNzy1/mPIdnqvj3N6Ma1a2je0tLCqr2gdfoKMe8ldxr0+aVFxYAvRje7lXh8b90JGr3cubQiG0TG8J4nc4FwBtWuCJZrJaUQ0XgHZ/LbeGTSH4OfXbU8SOfMr+on5zYw6WW7TgN+brjinmUtrz1SPYiGhQnw/mhVRJOSIZz9mh4tmuiBRy/x01AC708/F7moDgTUegxEAQNXMBj6v9oIvldI5+WMw/Xow/X3HuNkC1LBU2A0QqedY3ldIUTyOa89/r3DmQR8w2OlG4T/W1ONeORfcS6lU3rlzJzs7uwG3zMzMHAe4BPc6DlQ9/Jju4l6Ygyh660EspGlDB7IHqw0hOmEFPbfCGWk1UsX4Wnf/vHh4WavfHuKCENPFtR+D6fejWb/Gt98IaS1sHuwdXJSPIjoeGwCKhpZiSkX3o1g3QlqfJXEz6uSo6cO1IHoDYkjhehuFIPjD1zGJrjeZUt8+ho1+QRAsHl7GBj+8yZSC5kF0+OSCL/V5Mre6bQSd4vw1npNWI3uayP0xmP4orr2WqYrDJUXej2ZV0IeLmgdT3krKWoa4EvXIzPqSxvDhme2fxb8TwQzN78msk6MVta8EtvAkcwaTTaRcKqUNtfXOaD/fPPYru9a34l4Oh2NH74U46H4sowI9O7sdKmtRhhf0JFchVLW8ZaiweVA4uCRTrTxJ3JVqRZeIEir60ByIC37UyCJh39BSPXtXR496mhdTlc+Sub/EsOPK+mpZKp0BUeWjhAmteYyHFILgtt4ZbOjFx5fKk859TGKFzkPJVCudsrn2vtk/0jsxAZN/Fj+soAcbB70fxRIMLM4ubS2u6t53jD9L4saWieLK+rAe6EWivEzhJb2V3A5vK2sZuuHkZDt6r26npupIUn38ubisu5d7ORwOnN5ru212EFpcMwgGFsTDy1sGZKwL0655kShPE7klNCUG0bUgekv3VCltKLuxnyWa2TJYNZumhArxvShWcK6gqm0kpxGR7uGrJb5I4SknNfvvMBAE78l0OTRqLrCgH5GEITs0v6rn989LRpbRRGMYhsfUm4XNg8G5u1VZUcOwmFLRbwmc5s6JvqGlqXltdInobiTzVhiDnNlV1Lwj1yNRshsH0P4GgpBLNtJXis8OPItj3XguuJdcLg8LC9NqtccKJXpwgnudAMie9hPu4l4Oh0OrtxQ6WcujWHZ6rcxl+gY9cRiGx9WbaOa8N5mS+24gMLv7TkTbLzHspLeS2aUtndFqtdlrWKq0Gll0ieh1ITLaFFfWl+18RX7LGNnYMjd3jkcVC6NLRFn1/em1sqdJXPS5dTWwpY49imlKMKgtVnts2Z5JjZcpPKN52+3JYrOnVkvxb6vPkrj07qnnKbw/0jsbOGMJFWL0oX7Rj/oyhZfTNFDZOlzLUrV0T2JGX14kypXAlteFvRFFvVWMkV/j22+GMSIKe+vYo3jJcEB2d3SJKKKot4ap2jJYsGw4l+EWrOXHuvINuRc6HTw4qaELpmSjq6itwMdOVqhc9HuDaMwfRLM+zOourOnNVrszKQEZSUL/3UNGwsaT30peF/am18iKmgeLqYPl9KG0Gtmv8ZwH0ayUKilXrH6RzEMNRLxJlNRq6YbusCpVH9IjyJmd2E+gD9qPlX3c0luzG/ofxbFvh7cF5wrK6cMB2fxb4Yzwgt5aluoZzr39YSyb0TNd2Tqc2zQQX94Xmt8TmNP9wT8MezdwzmHxUqqkl5wCc0z2dPs1QsU4YnWnbP4rSxK5nXtBELy6YeqQznVI59TLOgAAx2Y3Iwp70Us7pUo6MbeJvs+geKbXyPDU2ceXmlQpbuudzn+vSKwUZ9TKNFqTYnwtxjlBXEpDfCViy/pcsiYpnRP7VQ0mC+Ay8eefxf/kgCW+7zlFhBo0I/VhLDutRrapQ4z5m3jj8RViPP/zIlH8MrsqW4ff1Mv9s/gPollJb8WTc9rcpoGMOjmaD4T1n8dx7WOzGxqtmdEz/aGswsjMus22Xb/SDkJtvdP4sfxfYtiHJwbhG3zy6+eCe62srKSlpTU1NY2Pj0/vLHr9wV5tFoulurr6/v37vzgXBoOxtLSUmpr6+PHjxMREnW6PlGF/wAjutR+TM7/FjdwLffVXTmpo/MnUaiTR2ulNumcUyg5CTOEMqpryf8OPK0ecsdB/SJbQOwWNP7mps0hGlv9I77wZ2no1sOWXGHY5fYjKnyRldD6IZnX3L4yrNxFyE8oIzO7OathNRH8c135gTRIbAGbU7tEpB2R3YwJYGwDmvRvwIVMCc7qR8pERTN83fI3WPDGn5UrUb+rlEUXCy057xisBLTGlovz3iqgSYd47BVs0+8qp9kDbfy2IHulkhPE7J/VrPOd1Ye/VwF3PiJ9ft73vnChoVsSW9TF6prf0n3CGPNbu9w25F3peEAwjhhw4FwZ0/sVqs5t3nOgBO5j0VrLbScgUStekxWqndE2iA0Lon54n8zqkc0XNgwHZ3dVMVcF7RVh+T0yp6EUyL6FCXMtS1bJUEUW9aPjQh9yj2PbDq/p88LIPL9hj3RRZLDyw4CBqlH85YNd5JKZURO2azHunaBVMDU+t++/IgLzJlNhSUUat7E4E83IAosSPKRXlNg28501gajYfMqWwefBeFOuyPy2yWPh0Z3jvgi+1tGVIZ7QeLmM6Sp9xO/dCA7elt3LEs6nV0g6ZOqNG9vNrpHRSUK7gkj+Nyp/EXywJFeI/0nd57a8JHNQIPqFCTOuabOIici6d0bqkMQxNrZMzu64EIpce3v/l9uu29r5d/xfsrK02Oz592ItEcUbNju3wyRWjGUje1+VsAEgXTD2KZb/jjWMjlMhQqGSOJZopeK94FIu4gXiTKB3SuQ95zb5vumJKRehEM9ZFBQMLvpldN8MY14LoTxI5fcoltPPDMDy/ovd7s6sVS3Eq3o7JXOaTCHxyh3PBvTQaTUBAwJ/+9Kf/2Fn+8z//k0ajHYjO1tZWTEwMh8PRO5fNzc005zI3NxcZGUkmkw/8FraR4F4YFOdnxY3cC/GhtkOtgulrQfQLvtQLvtQH0axlzZ6idRAECwcX0eGiwuZBrLIhent6mcLLbVLw+xfe88axORovEsKKchoHEirErYKpDumcVmdWTa9Hl4h+T+1o7pyoYaleJPPiy5E3zv1zEOhTYWpeix3Qx5faIZ3D7mswDM+tbLX3zb4u7CVndr1ljCgn10AQAiFIMLBw+3VbMVWJJiT+kd6Z9FZyOYDmTaZc9KP6Z/ELmgex4YpHsey8d4o39fIXKduOU/ejWDGIBn+3ds2TRG5SpfhHZ1nfywG07IZ+g2mPr/1Jdrxvzr32nywIQhPqzYRKcVhBD79/3mwBtHoLvh4f+ig1WYBFjRF7ePuQKVn1/a8Ley/5IaG5HEBLeivxe9NF7Zq86Ed9kcLLqu+/EtDiTaZc8KU+TUJyBr1JlKBcgc7pBLa/GegWGIYHxlaxB+0FP+ro7LbXGuq3jg26mC1AYqUYm0HzIlHuRjBzmxSX/GlXA1tKaIPD0+spVVJE9/NO0dozjVfNP4xlF1IQ588OqTqyqPf31I6K1uGoEqEPmXo/itXEHceyO2+Etnb3L0SVCGNKRYpxpIt+rOWf3H4c3MsGgNVtqiuBLUixB6oy6a24hqXyfdMVVtDT1juTWi1p4o1jE7h3Itpa+FPoR8QAr2f6ejDdx5fq40u9Hkzv7l/okM5VMoa5EvXahjGpUuxFogTnCiKKhJjvcXCuQKM9oPw5DMOjsxuYpy4+ap+EBd1hWWM4sMutbphIGZ0vUngt3VOB2d0B2fxO2fzUgja2TBRW0MMUzrxlDP8YTH/fOeGfxfchU3MaBx7tWMt6Owtg5DS5Jn9ghQ1AEJpd0mXUyR/HtRc2Dx5YUeOI7T+B3c4F95LJZHfv3u3t7V1aWlreWczmg4fKV1dXX7x4IRKJlpeXtVrtysrKs2fPFAqFw+HY2tr685//vLKygg/M2t7l6tWrubm5+B3OxjpRUwgfR7vdjg+7SqW6evVqY2Mjfp8vXl/dMGGlWrxIyKOukjGCF2DBMLy2aUqqlFwLor8u7HV5Q016K/HP4te3I2nk+CfZvUgmtWuytEVZyxolZ3b5v+E3csaKqYjO/UUKr5SmXNs0oXodCEJ8d9TLurVNE74KJIiku2/EOad4OmXIQx07R2QadG5zl5mRKTQ+4gAJQfCYeuOP9M47EW31nLHESkl2A5KFhNJELxLlZmhrBX24nD4clNOd3TAgUCzwJOoO6Rw2EelNomQ39Afndl8JbLngS70R0ppZL/8jY/d1/1Fcu0x1QD1HrG3uXTEYDPjQl5aWXr9+fW1tzb2/8sVHQ5+au4HwpbaLZm0AGF0ivOBLvRrYgvAnEqWWPaozWqcXtbLRlZxGRItd2TrcyB27/RrxsUT/PY5rjykVPU3itnRPldGHsKEjLxLlWhAdncnqOoI/FmAH+8dWkyolKVVSNM8RguDFVUMpDfFbjy4RDk0ivgmgszQhRpLQtwU0/8PHl5pcJfV7w/fP4qfXyhMrxJl18h9xRQx/DKYjCqEIpg+ZklAh7h9brWWp/N505TQNLK4a9EYrV6KOLBa+qZcrxtfeMoYrW4czamW/JXBGptax94dPYr6+vo4P/ePHjx88ePDJb33WDnMruuc7bx0xpaJ33HHsteSiH7VvaHlLb+GK1RGFvclVUvno6pLGwO+fr2wd5ojVkUVCLHYIvS4S1rWPxpSIfMgURs+0fHT159dtt8IZee8UBc2D/ln8D74baxsHpIuiDQZBaGhSg4/agSeCuufvx1BvtEXsbU81U2W3IzeElXWkkGtEUa9gYGFTZ56c194IbQ3N73nLGPk9rcM/i/+ON96rWKxjj94MZdyPYjVyx9NqZAFZ/LdtIzzJnMt85YNo1sqGEW2GwYTctZY0BnR+88AGe87Gc8G9FApFZGTk5ubmUXBXq9WXLl0KCgoikUh+fn48Hu/u3btzc3Pod//3f/9XJttTuPDG3uWvf/0rwb2OgvOp3mdmZgYf9itXrvztb39zF/dSL+tcrOQz6+RYtrzD4QAhSKhczHs3kFgpDsjufscbf57MuxHaeiucQcroKqIoH8e39w4ucsTqK7gZnMhiYUat7H3H7t3cx5fa3DmBSuB/S+CMzm6gBx9XI+lRv8Sw/bK62MJZjGMZTbbmjonUamlKlaSqbQRf2NEGuBY5DszpXt0wDU1pBAMLla3DL5J5N0Ja69tHa1gqvOLkqlPglVkvH1NvmC2AyQKAzvJzuU0DdyLargfRf0vglNKUjZyxzDp5eq2MK1G3dE/iKQKajoep/o+7X1VUVOBD//333//73//2HO5ltdlTa/YI7/ycSh3pyHJEYW9ChTi2FPEKV82sF1GQZIjfUzved4x398+n1UijSoR4QnMHGXYaeJXW8Ud6RxMXSSbFHu2XA1qyGuQTc5tHLI+NWoJZnR4lDodjU2/5kLuKvRg8im0fU2+i1aiiioU/v277MZj+PJlXQlPedJYlvRuJFFDHpDzXguixZSK8/OtJIielCrEU+fl12+UAWvJbSXx5X1a9HCt9CEKQVmdp650hZ3Y9iGHHV4ir2kbK6cMNnNGju6U/f/4cH/q//OUvbudeY+oNbLgo+a2EvFO3FEU+tVpqBUCLFehVLL6plz+MYTdwxt7Uyx/Ftpe2IPZsWIC8SJRXqR1VbSNBOUhRAXJG1/SiVtCPZDgmVIgFAwsr68ZPWjagFs1Y1FyuLFRNv7hm6BtaQupM7BQaQvWXWwZrI3f8aRL3xxDkvuSb2dUhm8PGOO12CL3SbQBYTFXej2K9Zey6+15wjqk3cEazGvpD8gRRxaK69tHewUWhcrGWNVrwXoH1HC8SUs4VrfI+vbCV3dj/KK7dN7OrVTDt4gDs0nhP+HguuNfMzAyJREpNTW1ubm7ZWTA65RKG9fV1Foul0Wh0Ol1CQsLNmzfv3LmzsLCA7vaPf/zDhXs17l3+9a9/EdzLBdKz91Gr1eLDXlpa+sMPP7iLexlMNnwlkKtBLfgiLQg9AiGuRP3za0Q3Tc7s8nvTlVknL2tR5r9X5DQOBOUKcpsGlJMard5STFU+SeTciWgLyhG8qZdn1Mnwte1Q4XMxdfBaEP2Df+bw9DryXNRZ0mqk2KzErXAG6igNQsiPYvMd3mRKReswNmVjtdnT96rB0mtkue8GnL/OjCjspXRNvOONVzKGQ/ME6PMAfU6g+QFZDf0NnDF+/7zOgIi3YBje1FkK3isii4SJleL0WllMqaiWrdrQme12cEy9mVgpfpLAQRsZkidQL2+XgDyBnjYwMIAPfWBg4KVLlzyHe1ms9viKXf0f8gxO6zCagZHp9chi4Z0I5uO49pzGAY54N5Q+ZEpl6zApvTOvaeApTs8emt/T0j2ZUiUtbVH2j62iBTfRqH3QDElVKwfOTR8lBMNTGnzyxNXAllqWCrCDOqNlYGw1pwnxmaPxJ2n8bTkaMu9cini/YdwiOLe7onWYnNl1M7SVlNH5tm2konUYUwrGloqeJHJeJPPWt7YnN9A83FtYKQWn+b7/G/6HGT0sX+STLW9tbcWH/tKlS27nXps6S3wFMjnoRaKk18pc6FRChdhstY/ObqAVeJ4n79aceBzXXovLSPUhU97xxuvZo2hBnhcpvHWteW3TJFOtSFUryxojduV+8qw/tgMIQYMTa2inepLIKaYq0YvXYLIJlUvVTFU5fbiRMxZb2ufMnxUXNCvwL5DoYa02e967gbRqKWrxhcU3LL+nvW82oUKM5gOl1cj6hpbKWoaiS0Qs0WxyleRxXPtdZ9YzpWtibdO0ZbAcfs/82Fl8w+3ngntNT0///vvvjx49evXqFWlnEYvFB+I+Ozvb19eH/onBYHz33XdPnjwZHh52OBwGg+G//uu/MB524NcJvdeBsJztje7Ve0EQ7PIOt6W3WKzbldTQl1HVzHpAFv9ZEje6BBkACMvvoXRNZNXLk99K0PGt+RU9ajXZLlaXIiP8yHP3Q+XgwOw9xfXCC3rK6UNx5X2ZdfJNPZIzOKbewCtpLvrRCpoHrQBotgAuk5tPE7mY0AqCYfnorqznQTQrq6Efr5tOrBQvrumfJ/PuRDDf1Msji4T3IpkBWd1vGcNVbSOZdfI7Ecy7kcyMWvmWftuzQD668jiuHTX+eRTbLnSKas0WQDi4GFuG3NDLWpTpNTK5anV/VuaJ9TdP03sh1ZdxZh8+ZMp7HpLIlo7zc/cmU7Ia+h/G7FZoDs7tpgumSmnKIupgYE733QhmRJGwsHmwhKr8+XXb/ShWTmO/xOng9SCa5Z/Ff8tAuI58dPWI414u4RieXsfn610Lojdyx602++S8NjhX8FsC57cEzsvUDkrnRE5T/90IZlxZH7N3xjez60UKL7JY+CSRE1sqUi/rJua0goGFkel1Gn/ywwTi9WD6z6/bwgt6SqjK68H0YqoS41WWfWbCD6JZqdVSJzH9QrHgcei9QAgamV5PrZY+iGYlVorr28ewt50LvlTJ8LINAKldk6iNWaZT2ITylZcpvAbOWFZD/5NEzrMkbm7TwDveOFM4402meKPVsq322SVdeetQacvQ2OzGJwe9ADuIDE1Brno4EEKGrFCv10SnhgxtwJWAFrZoVmewltKUv8Sw0fyejFokz/pOBPOiH1JDHfFj2/k62iVQK5yMWhleI+9FosSW9clHV9A7Q1xZX49TX/9TGOOnMAYpo7O7f4HaOZFYIUZ7S3CuQDGxdsBcAQC6dDzsow0AzVbAJUMF++vJrJwL7gUAwOa+xWpFbvElJSVG4x4hs0KhuHPnztjY2PLy8u3bt9PT02NiYnJzc7VabUZGxoMHD0DwoxF1OBwE9zqZjutRv+Je7oVpF+ZW9CvrhrHZzfRaWWyZqHdw0WIFQg6U4AAAIABJREFUpua1pS3KGpaKLpjKrJM/S+Zl1snpgqlWwVTeO8XLFN6b+v5x9aYdhNY2TbmNA2k1MmSUyFlv5GpgS0v31K7w2ZfKl887XZpGlzUG9E40t6LD51JdCWip54zZQQgAwOzGfuzF1ItECcnrwb/I2gBQOrISlt/zMrWD2jUZUyrCTw3cj2JNzm+GF/Z4kyjXg+kBWfys+n6uRK2aWU+o6MPSGH8KYyCJV847vtVmF/QvlLUM1bePCgeXdAaLHYTYwtlbYYyLfrTLAS2P49unF7UgCO2Xm5xY9/A07oUUt7bZhYNLIXmCV2mdlK7JLb1ly2DB9HNoBEnpnSF5u+mHCRXiTukcvXvqaRI3vKA3q74/IIv/Kq0jtqwPtVq9E8HskM1p9ZbhqfW4sr5b4YzLAbTb4Yyj6L3QSSiTBTBbATsIzS3rKluHkbFV8raw7LcExAjUZAFqmCp8hfXgnG6uWF3YrBgYX1vWGEam1tNqkKGg3KYBWvdkQbNCOakBAHBJY8CPpF4Lomc3DtQjRES+tmlCKoibbJLh5cw6Gf5l4GVKRxlNGVfeh02EfW6fOQ7u5TQjhXUGq3pZp9GatXrLhwi+SusMyRMIB5dszhrzHdI5NG0ltgxx8EcDml6D2MQ8jmtPeitJrJT8EsN+nsyldk0mVIibOyYWVw3qZd29KMSC+JI/7U4Ec2zWVYGDlmY3mm12O7isMea/V4TmI+J3zPXeWX7RyhTOhBf25r4bGJzQ/J62O8vprMoq4ffP49/cniRwkqukMaV90pEVm7PABvb1xTUD5LzMbQA4PLVOx9+X/KiS4ZXkKklQjqCJO47c6Grl+DtParWsmKq8GoQIQNHtde2jWNYIppE9cFwWdPbAN/Xy6BIhXz6Pnyr93A7wlfufC+51CEZ/+tOflpeX8TtYrdaGhgYvL6/vv//+zZs3EATNzs76+fn94x//ePbs2SdFYwT3woN5TtbdyL3QGTeUTMAw7JJa2N2/cD2I/lMYo4I+HJq/++wMy++pbB2OLBLmNQ2gE3B2EGrkjhW8VzyMZW+nFvoj+Wt/pHe2CqbC8nvCCnrb+9QVrcPZjf3FlEEs7d8GgO9441edmVYX/KhPE7mrGyY0jvMr+puhrRfQRKogeq9icX98LTa70Yx4t9axRzHFN+prr9Ga+0dX0VQsVDU/u6STqVbwZSUv+dOKdhoDAKBkeLmRM1ZCVSIjfKUi5aTG7832wwa5w/pRq9oQAe/+ZpzYFg/kXmhSqsVqN+6UXPxAL17j6jF7kSipVVJyZpcPGUmk/TGEPjq7AdhBrd4SXSK65OwnaJ7jqx0LgysBLW8ZIyYLUEJT4p+CH8tzxLox+kTnyxF//Iii3t7BxYt+1CsBLSlV0oL3it9TOzLr5YuryGPYaAYSKlzzHOvYoxf8qI3c8Q/6pJAdQ05vp5D8dWFvWH7P6OzGwPgqnlle8KV+qMQVlCt4XdSrd9oIv3c6GhQ2Dz6MZSO9l4zYyBVTB+vbVTOLW1/cVY6De+1vDOhEBj++iIXpx2B6DUvlvFSpofk9eK8ZLxIloVJcyRieXdbVtY9m1MnwU8ZeJEpM2R7SCdjBgbHV8IIecmYnXTAVs1Oe6LI/rY69LYmzWO3VzO2K10gWaiSzkjGCsZ+LfrRa9uiHslHYe5QXiXIjpJUpnEEFoy5fvx/NWlg1YG9NBpNVoEBKLMSV90mGV544q1p5kSg+vlSmcOZDuSF8r/stvj23aQBNlEaTMf2c08dXA1uuBraE5feUtgwh3M7ZC/GQwjA8s7iF3Zd8fKmMnumvn37F/8TR1wnu5cq9jo7dgXsS3OtAWM72RrdwL+dkIvISP72g1WhNgB202uwullqB2d2xpcioQ2wZ4vuM3Y/uRjLTqqWohiajVm4DkO8WNg9m1snTqmVXAluiS0VpNTL/N10lVOU73nhz50QJDZGCBWR3N3LH+oa2PXLQx7bRbOP3L2TUyqraVKsbRvT11Dl6Ac0t68tahnIaB9D5JiRxCT6gxAdgB4XKpb3uYsObeosNAAcnNHnvFCVU5fQCUnxmflWPr1pz+3UbOpQCwXDf0NLvqR2p1bsDJG/q5fi3ah8yJaNWdnSt9HF0Qs/kXtiZIoJoZ7Zpn3LpSSLnmpO4I1VinA6cTseB3krGSDF10OasN7WxZX7fMZFUKWnpnipoHsTqC92PZgmVS0azDfNdQ/ve47j2tc1tao79KATBm8gImWZ0dsPgHHPyzexKqBCX04cSdmzbvEgU1AgAm7a2gxCNP4mawKEHjyjqDc4V+JApeU0DnbK5Z0ncn8IYdyOZ14Pp5IzOOvYoIjaKZEaXioooyDwX+q3rwfT0GllIngB1flpeN75KR8oF3gpnFFOV0SWi8IKeqraR9x3jqun1r3nungz3QkbCnF4tGE2BIBgNU/JbSad0TjCwmFknr2obGVdvPk9Gihz8GIwYX73jjTdwRlEffMRKBuei50WivEjmGczbk60QDPfjfEB8yJRy+vD9KOYrZ2XrQsrg3IoehuHZJR1ef3Y5gJZYKQ7N60E7VUieYG3TJFWtvErr8CFvD0f9kd6JWYrs/3oNS+XsnEhNqunFLenIyuyybstgyajb4yPo+4ZP657EFKjeJMS5rZ496pvZlVgpjivre5HMy27oz27sp/EnGzij4QW996JYSW8lqpkNl6Ev1IYQu216kSi+mV1YFTKsA5/MCsG9CO51pJ7mRo8J9J348F89yj6HH+Ek/+oW7mW2AmOzG6UtypQqaRN3TL2k0xutmfXyl6kd6BSDF4nye2pHSpX059eImSSW9oU8V8IYuU0D+e8RM6TYsj5UHCZTrWTV9xdTlUFOBU9gdnc9e5TGn8xq6Md7/DyIZg2Mr7lQKAiCLTb7/iElZx1JhNgZzbaB8VV699TgpMaMS3FCYbfa7GVOP3TMVT++om9RY0AIHAzbABAAtt2oAQDky+f9s/g/hTF+jeeUtwyh9SstVntwriCxUvw4HrFbRP+RMzqRoZGdj1cDW/j9C99WtOGx3AsZcLLZVTMbjN5p0dDSxpZ5ZHq9kTvG6JleWTcG5XbfCEFU6i9TOnx8qWifQWMHgpDZiviycsRqVMz+NJFbzVShBdS5EvUFX+oHyvU0iXsjpDXvnWK/Sf3iqiGzTv4wlv1bAqegWYGKph/GsmPL+vA8G2UAGztyeBsAciXqmFLRwxg2mhmX09j/Ywj9XiST3j1Vw1TFl/eVtQyl1Uhjy/ry3g3g55j+SOtMrZbejWQ+jm/PezcgU62oZjZQx/P5VT2mLfMmUV6k8Eqoyvjyvl/jOXlNA1gi5BfcLk6Ae9ntkHpZxxGru/sXNvfWy0LD5CzjipS/BOyQ0wJms5SmTHqLpCGX0ZTKCc1vTrHBwxh2MXW3+tB2QbAdbzOLzY5XbqH5Gc0d44mVkoex7EfO5IxNnWVifvNxfPtPoYznybyHsezL/rTC5kHlpKahfYwpnNFsmhbXDCzRzJs6eWxZ34No1h/pnW0905j9MvL1uN1r+ZI/rYSq1BmtivHVBs5Y/ntFQoU4uUraP7YaXbqnfsbzZK5zprLnfhTrfhQrrrxPvayTj65Gl4icBdOQGmUs4czvqR2Mnu2y3OjtIqZUtLyO2E9gwT2w/IZLXVps5+NeIbgXwb2O1Mfcy71Yotkm7vgh/1iiWfw1c6Qmfrudvp57QRA8v6pPrpLcjWReC2p5GMuuZalml3SlNGVANj/prSS6BPF3ft8xcS+KecmfllAhRlXzPmSK3xt+EWUwpUqS9FYSkMWXDC9DEKJplY+uxDvlqEE53em1slLaUGB29/1oVglNiR8zuxLQgtwEDdajkxijGahqG3kUiyhqf41vb+SMYT4UaBC2q0mG0O9EIMmY14PpZS1DB2Z9w04qpl7WiZRLIzMbZosdjfsHJdnrwt748m2lGnozvRHS2sQd86hMco/lXjYAZApnniZxrwfT70Yy894ptgxWu3MEBYLg9ziLTlTEjY8+ms/hNADbEg4ujs5uYHNeBpO1uWMiqlgUmodI2meXtlyuU6QmdLMC5cfeJMrL1A6uWB1X3hecI4guEdWwRrFZKuf4ylA9BynKDkEII69kDPtmdsWVIRyrrn30Qx0b/yx+C3+KlIGUZ0AJWR17NCinu5i6bT+BdoyboYwGDjJ8Ozy9brIAdvuuBNBkAcpahjBt2bUgeiFlELW/9yZTqpjI0MuX3TmOm3sBdnBibjOxQnwztPX267aQXMHazuz/gQ1GR8g2dZYx9ebI9LrRDMwsbj3bma2LLBYWvB98nsR7nsx7yxjBk879viRx5X0uXK2KqdLqLW290+m1sqBcJJRvGSOqmXUIQuo2ghBiaur3ho+FqUM2N72wZd0p+INWS6thqbDXyDsRbfJRhHU9jmu/GthyL4oVXSoKyRMkVki4EsQcxz+LH5In+Pl1WwlN+TCWXccelY+u9I+tbuosVpsdrz1FPVcFAwvveONYMXUvEuVOBBPN0cbgckkJQrMQvljwhx32y1YI7nVmudf+FJX9XQSRdeNeC/bvgG1xI/dyOBwZtfLgXMEh/zJq5dhPe/7K13MvG2BnCmcw4yu0Uh7Kty44XaoTK8TM3pnMOhkqY89u7G/ijec2DbT1TkcUCYNzBfXto2k10v7RVZvTRWljy1zdNvLCWU64hKaMK0NcnS76IfqeGCQDf1c/cS2IHl/eRxdMTS0guvVPog1BsGx05dcdQQZaOG9oSuPyDLYBYP/o6uvC3ufJvFr2KKp6/tjB9zs0wjCsnNQ8S+K+qd+td/ThxVe9rDOYbHMr+tVNE/4R+7EjH/d2z+Re6AwRXht3J4KJ18Vv7RNxY0CBIDQ1r02tkcZX9ImHlzHWhe6wrDE8iGZdDqBd9KPdCmd0yebxpM3hcOgMVnR442ZoaxFlMOmt5I/0zsJmRQ1zJLpUxBGr2X2zQTndL1N5ZS1DkcXCK4EtwbmC9S3EXX16YetGaOuVgJaboQxSeidLOLO4ZnCZds+olbH7ZvPfK+7h5tzvRTI7pOr9lbzROfS1TVMte/R5Mi+8AHHNwPto4HN1MQSOuHJ83AuCoGWNMe+dIiC7O7cJqUWBZglUtA7vH4p2aS3+UjJb7JWtwyjvvOBLfZXWMa7eXFwzmK3bbzjod/f78XIlajQ7B6W2aN3uda2pkTt+I6T1oh/1ckDL76kdy+vbaWqAHXSZKCyiKLHsY1TenlkvD83rqWaqEivFUSVIUYGRaQ1eyHXP6STyKrWD1jXR3b/wurA3ILu7iTee3dh/0Y86MaeFIORpBcPwlsGC9yjxIiEyVpZotlUwhXE7LxLlSSLnwPsSlhLUxB3fcHY8FwxP5uN5517/8R//4aK1/0rcPUrvlVEnjyvr++i/cvH7jokjnq97uZd7j3bEUzi+3b6ee1lt9orW4csB21ULkVnFEhFGxbxIlIex7JhS0ZUAREza1jvT3IF4olI6J/C60fr2MTRtR2+yZeNKNJIyuipahxMrxagM9mkiN6NOfjmA5oOrD/MsmRtX1oeJMw7Bym6H6N1TWOE8VFHLlagP5G1Wmx2ZqzoCpdv/i6izNrVropY16v+Gn14rm1/RY+Kz/ft/ky0ey71ckhhQsTz+FX+/iHt/5agLvlTh4BLGqgE7+EmtvQ0A4yv6UH95UsZ2YoQ3iYK+IVz0Qw4oHlouoiDFFtFH+48hrS3dU0azbWXdOL2gTa2WBuV0M4UzBpNNZ7DivQO8SJRnSdyEir7wgt6wgh40LeCSPy26ROTMm9udXXLpDCAIGUw2kwVIqd6ta+lFomTUyTGK4PKVT348Ju4Fw/CSxohVEfAmI/ahL5KRjMKgnO4DB48/1lQYRlIm6d1TAUg9gMMuH7QOVWKlOBypQ7VgMFpd7Pre1MvloysvUxHlHPrvSmBLI3ccrXuxP0yYecd+eTtdMG12Oub0KBbww1RXA1siioTptTKeRI2/rVG6JmcWt6w2+4bOvKEzA3YIrdOAtcSLRImvEEeXCOndU9ElQixZpJiq/BhcaErQl92XPob2524/L9wLGUW3Wo24BQCQiihPnjzZ2EDsvN21HDf3+iwhVEyJKChHcMi/6jbVEU/cvWzJvUc74ikc325fz72cJRqXPryY/hTGcL6hIsImPL/5KYwRV9Z3LYjuQ0ZMF6Wqlcw6uUvyGtmpG4VgWDGxhpdJ3QpnpFZLpcP/n723fG5jW7OH/52p+TDfZurW3PdW3Q9TNTO/sZOccE7whE84ltmOmZmZmSOWLLQYLbLItiwzW0ZZ3PLrrZ20OzLEoUOJylVutVqt3Xvv7l79POtZaym5TnI9AWjkVA1oYe4G9UW+lUSH2mBQNgLlaB/uNJBPtHzwwIpl1B7e/jBZ+PA2x62BpKVdp8fu8HiOV+s57uu/wfo/LPYKKmKAZHlsjOrIcTnsmB5XKUQpOw6X5zRce5PV9iZQdoetYIX6qFdiKcl1Es3o8tNcNmofdC2e0kTWV/RpnuayK/s0csPCsGlpyWb3+sBdtvqtFr3LQoOppznsSzHkvDYltM9qIhsME6v298zxkwfdOrf5Io9zJY5yNY7yMp87vwI4iJ/3+kbYy+tF+jljl2PI6FE/ymRlNMrORRB7A2ovp2ntu1SgD/EG/oAi18dOH1jrA1HR3t7e/MrOy3wutqNaqQYULoeEATPWij7N/MqOdnxldNoWNExtdBMUxD+O3g7DnFjS3v00RnkvCORnNH4gDhxVJtjacQ5wx18Vcl8Vcge444BsOroM8ukx5KtxlGe57Cay4WocBT80vmLbhcUiVJEVar2eprt+l22+C+zlcrmkUmlZWVl2dnbW+5dOp/sWPf4bYK+FNbvSuCQ3LJ7wN2JZ3dvb+4G9vsUQH97nl2Avnw9xub1Ol1c3vlrSrU5vkOa2Kgo7h2EdInr9xRXzKvo0v2axLsWQeKrZlfVdkXYuyDHtaQ57cW3H60WUxkXsVfJaPAU/ZHE4PetbzkHp1L76gwYE/NeyW+Ro/iW+UhRdLogs5e86PS63d2x6nS6ZlIzMb9vdaNgDPXCH00PgWV7kc6/GUYIYteg2cMHnQ+aWt9mKaZ5qdjVA6wna4M/+9o+Jvfb29oKKGCBZHu3t40jcTpc3rfEDpvOrgiFUoTTY2yAMX9l3BNfe6/XNLe+00YxXMUr0NxNp6Y2ye2mM0h41VWTNb1em1EnupIBa3fBiXk6rIhSHT6wRF3epUuulSbXimre60SnbsGnp7dB4fJXodjL9l1Sgbt/HHoUnRWgY/kE6sEyenN84cpaiB4tdgHbL+CELgW/5wjDqN8Jebo+vjW68EP0uBB4Shr+bOljRp9mXuUfrErBHFLTs9/t3nR716DKRb5HpF8xTtpmlbY/3XWlL0MYnvEUQZHZpG+2obbu7Fq/DoqJr8VSKcIIqsua1KSKKeV2DZmCpmUwHdPhG2dDwDF0yOTa9vmV37T/4odcxGLlcCxh47zo8ZMHE/pPb1TjK0xx2ea+6mWIo79NEfaj//CKPI9MvoBqzZ3D4QemU0+01TKyVdqtT6iQFHcPXE0AFgMG6BuRbA8Uiv29M64SORT/6LrCXxWL59ddfU1JS6urq6t+/xsbG0F74igvfGnvt7e2JtPMpddKEavEJf6Xd6h/Y6ysO68m7+jzs5fMhG9tOacArgyWbrsProIZ4VrO8ok+DKxoq71VHlvJvJtISq8WdDHNeuzKtXtrLGt3cds4sbbVSDd3MA+ZyKA6UXtfidQzZlGVmo4msxxXzIK85rHBoYu4dJ9rnQ4DAJeJ3OD1UkTWsaOh2Mj2hWlwUUJbnKIHnmkA9F1Y0dDWecjdtsKTrndA8tgf8fr/D5TVa19iKaSwRG7sNXLbMbsRVCG8k0m4n05NrJasbRxvYH/7in2XNHxZ7wTCGZXaDOzyjHl0J0pA0WtdiygXXE6h3AlaJ6LggiF+gnkP9m6EsPpY5urPr7maYX+Zz76cz9t0IrO/nVdB4IX7/+MzGq4IDy/P4KlFavbSqX5tYI76dTP/5DfV14VADcSSiBHiG5rYq4iuFRL6lkaRPqZfGV4mqB4AQya/ZrDsp9KRacR1hhCWfZsqnyMKJg9twwJCUpQBy6oefEIKahL6FRoRYk3j0o09a+EbYy+/3G61rqOtAaBg+t00xMrF6ymPcdXp6WaNQT+RRJrO4S1WL12lGV7Ahz1MeJrajfAjCkE6V92qSayW/pAy+yOf2c8b5qtn8dmVBx3Az2ZBcJ+YoZjKbZB2Dpo5BUx1eVxR4gFSbl8XaebTAIhSHb6EanS7P7NJ2L3u0lQpcwJmyKYF6liycCC/mRZcJ8EMWdAaG4vBdDHNSrRiL3vaN1KC2/uiUrbJfezuZHlsh5Cpnfl+5mVP2KrrZd4G9FApFRETE8vKyG/P6RsSR3wB7CdRzb6pEJ2QSY8qFBR3KH9gLneXfeuFTsZff79/ZdbPkoKI+r03ZRjc9y+UUdakeBfQULsWQ9x14HqQzbyXRa/E6gWZugDt2P1BUeDmWHFY4NL+yI9LOPcpk4op5fZyxiBJgLtRI0u9foy9Ek+IqhYOSqfQGWWKNuJ8zVt6rHhlfPUxqgQWGM0tbfNVsWY86sUZMEkw4nJ6lNfub6gPV1suxZLpkEn2IhBVw0LwWJq1OuOcdZuBCRZ9vPRy/5f5/F+zl8fp2doHG+UePFI5RUD2Nx+PLa/uA9oSOi9eHkPiWbuZoWNEQlGPoZpqxkwdCuoCfz/rGNqiNPXICIIhfO7bSyx5NqpXcTQW6AN1MILxZPaDD3kT3PfiAEkqPOqZC0M00y/QLz/M4l2LI56OId5LB5IdCKmfDCdHlAvOUbW3Tsbi6Q+BbwgqHXhUMtVKNcZXC6wnUqn4tqhP20T75Wht8I+wFnAk8vmHjUmKN+GEGs2pAOzm/eTJS9AbYbPCZSjO2/CSgKwH7+WEGM7VeWtKtPmVO9rjO8Xh8uW2Ka/GUiBJ+frsyo1Em1S/cT2NciCZdjAHFzgLNXHqDNKqMz5RNFXQoXxcOVQ1o+9ijg5LJFZtdoJ6LqRA+y+W0003Ltt25gPDHpRgy/K55ylbRp3mRx8lpUWQ2yROB/aslqkzwIo/TzRxdttnTPlSd2PdGgwlNrxdZtu2aJtcWVu2fEds77mB/m/XfBfYyGAxpaWmrqyAN961fP7DXaXr4O+d7udy+boYZfXx/mAFkmp/ncVLrpWfDQSliZCkfuoXcTR0kCSeiygQP0pkl3aBy4nwUsZVqxPPGLwUYIWfDCZlN8qp+bQfd9DCDeQaHx7oGnYsgTC9unTwiSCBJsesA7mZuj888aYspF6AaWmfDCcVdKvhA6fMh5ilbcp0kopTPUc4E6Uoc/pXNbecvqe/41PBOEFXKRxNYh7f/M675jbEXgiCg9K9r+Fkup4dlXt9yHgl9gnrS7fFt2YHABFy/se2EyT4UBqHjYne4I0v55yOJOS2Kwo7hW0n0e6mDmzvAfu2TXh6Pr4c1eimGHF8pqh7QRZTwr8ZRqCLrG4wZQygO/3ZoHGV9nQkn9LFHsRxHXBEv9b3A+rV4ilDzTsvNhyBjM+tV/dq0BimUr3uQwZTqgbTKJzXyCzc+EnvBs8nucH95Y96N2om2DX4/0Fltoxt/BQU0wzOLW0S+BV4Z4OBeiiGn1ktxRTy0JvHzjjpozjST9QkfOiUA3+t6SUm3CvV3CsXhU+okb6pEPNXs3t6e0/Wu7Mbj9RV3f+ARlNEoy2n94GHgVQF3Y9u543DDmKt17kCM/lwEwTr3+W4En3f43+Jbf3Hs1d3dXV9fX15efvPmzSdPnlRVVb1POdb/eXOOP+Je3+JM+JJ9fmrca3pxC1sxdCmGnFIniSoT5LYpz0UQL8WQi7tU2S2K/HZlM8VAE1vL+9QVfZon2eyoMn4Pa7SDbpQbFrFF4I+zWBmN0itx4DobXf6BW3ZJtxpb3QZDbhNzG9b5TbvDA0s3fD5kLWD400Y3xlYIi7tURV2qq3GUkID3Iox7+f1+vWUVOnhAr4/9Wyk2oIIgfpfbN724NTbzLiLyI+71JZPq8Hf9fv/s0vbL97VmoQHBd5TqBMsjVtZBGGB+ZQeGAd5HUESPs1j1hJGZgMM6jGGgwCskDI+Ne3UMmrAffV4lIIL45YbFB+kHdt0v8rkq83Ib1Yju/HXhEHRnDw2Yz0SU8BuJehLf8iiTCSUVfkkZLO56d5N+XTgk0y/AzKnXhwi1c01kfWqD9E4K0LVvIutF2jkUXB7uum+x5jD2gnl8XDHvdeEQkW/ZsX+ySzccxLUNh2nKNre8faRqBnosfj/wDyDygWnj4yzWT5HEVwVchnQSe2X4inEvbKyUIpx4lMlChzIkDB9RzJPo5gclkwUdw7AxkKmW1iBNawBqzzAEa9t0jM+svy46SEYDAYscNpFvQff2UySxkaS3zm+Mz65D3UGfDzFN2kp71KU9atOkDQ3Do13xZ1z4i2OvrKys6GNeSiXIyn3114+412m69HuOe/kQxDS5htWnuRBFSqgWVb/VpdRJ7qcz89qUTNkUVG1+mc9tIuvfcsfRINmlGBIUue5hjj7JBgVfT7LZrVQjVKYu6FA+C5Sjoxey1HopWqe2t7e3tuGoxeseZ7Oe5LAbifrNHZfPhxgm1nJaFL+kDL4s4Jb3asJLQLwhplxwL42B8r1cbm/uh4kqXDEPhr4g/WttY1eoAao8DzIOmECH+V5QGf/kHMppptAfZJvfMu7l9SEEngViYji+jzJZpkkbDH15vMDLPK1BeiuJHlnKZ0in7A6PYQLDHMLhS7pVBuvatt2tMC6+Lhz6+Q31VhLgyswsHQRHVzcckDQN9Twtsxuf19V2h7uNZnyUxbocC6ZoZb9WpJ3XjK3EVQpvJQG+V2mPOqEa8HiuxlEKO4eTayV3UgZfFXBbqMaMJqBSkd0iz2lRXA445BRctEUyAAAgAElEQVR2DqfUS1ooBngzHp1eD39vIw3Z+mPT618eavqkIw3CXgji5yhnUKLSGRyeJp781Cb5fIh2bCWzSXYnhY4rHqKKrPAUgzFpHwLqFtHk2tqGo+at7mEG89dsVkm3OqdF8XM8pZVqqCeMPMpkXoohQ75XzWfxvXwIKDLFtl8/sRpd9o4jSBNba97qUMXaMzg8fmi8akCLNgbWw95IAAUWMeUCKDQDrjOtiuhyQSNJ/2s2CyaUgcItzbifV0WJoYUdwy0UoE34MINZ1queXdqG6iduj+9kMPpJw/e7b/wXx16wf5eWlqRSqc/ng299Pp9KpfoR94opF/7QmPgqZ+Ap414I4t/YdjJlU200Iyjseq+UcyeFjh+yaEaXh4Zn2MA/ZBb76YUoUkWfBtUMPBNOyG6Ri7RzuvGVbqY5p1XRzTSPjK/sW95GlfJxRbwm8oGKNzSL3QgoQbs9Pq8P6Waa0SsmTPqsbjiwAf+bibS8NuWrAu7boXGpfgENqwQZjwA/4zrJ+pbT50OcLo9ldh3Ps7ypFmU0yuKrRBejSbACDtY5chQzfDWoc/R4fBOzGwPcMZLAsrAKHJS/Sv//jjv5TbGXF3k7NI6VRHqYyTRMrAIl94AzJoQyEJY9yGCKtfNNZD22Yu5BOqP6rbaPPdY5aEqpk6TWS1Prpcm1EoZ0EiXUAzfGLSdfPctRzMwtb392jMHv99sdHoVxqXPQlNEkiyjhP8hglvWoVeblin5NSZeKIZ0iCSbOhBMiSvjJtRL0aeFaPKWZbKjq17DkU/0c0FSQY83jnIsghOLwbPn0/OpOD8uMFbC4nkBlyY9WmPt2cyMIe+06PRGlfPQoQsLwkBL+SQ2wbTqw3KY7KXSFcXHb7paMzLdQDVzljGZsmSKamJjdcLm9QedyK9VY2q0q7FDmtyvTGqQZjTK+avYz6hwRxL9ldxkmVpmyKe3YSkB1AsTFyYKJWryujWbkKKfnl7cN1tW8duW9NMajTGYtXtdBN2EvLHUEIEYfUcJPrBE3UwxLa/bV9d3cVoCkU+ul7TRjQo04C4hygfKLmcVtt9s7t7zNUczwVLP4oYNHTaBZTxj5jSOanzRkn73xXxx7GQyGgYGBwsLCBw8e9PT0DARenZ2dz549o1Aon91rJ3zxR9zrhM5BP/qu4l4ej8/uAPqiG1vO7Bb59QTq9QRqYedwfrvyYQYzrlLEV89ubjvdbu/Smr2FYmyjGVFjYJDdw+GjyvgRJe8u62fDCcm1kiayHn79buDaV9KtoogmKvo0BR3DbTRDVb/2WS77ZT4IISTViku6VdA82zq3GRQVe5nPHbGsYllZ5yOJ8ZWinBaFecrmwxBosIa7UF2poleT1SKniqzW+c3yXs2tJPr5KOLNJOA1GVXKf5QJXJbdgWP3eIHvnN/vN1ltz3I5V2LJV+OBOMViwOERnRV/xoUvx16AKO1wf1SvHD76Ty1svcgDMpshYfhLMaRavK6fM5bdIh/gjg0Nz2LFeC9Gk0q6VBV9Giz750kOO6NJVtGneRRIUd1MpF1/Q4XiDlj2HkgPIcAf8DRksuNGDVo+CzSzlf2aK7Hv1KrOR8F00iZZOBFbIcxrB6bdjUQ9VhLlXAShoF1JE1vTG6VFXSqZfqGdboJx31AcniGdjKsUZjbLbyUdeMnfSaYLNHPY6Xpcq77i+iDs5XJ7YQoVhV8J1eJPrbwzT9mwfl/no4i1eF073fQL8BIg3UqipTZIM5tkz/M4pklwKqG/FRKGDyscIvDGK/u1F6KIV2LJd1IGCXzLpwaK/H7/6oZjv8AitkJY1KVqoRj46tnZpe3wYt7Pb6i/pA52DpoGuOPDpqXwEl5SjbiNZmylGkaA4N8HjXldONTNHO2gm6CQPa6YZ5hY7WWP1rzVxVeJridQL0QBH6Emsr6XNZoVmMBrGw6vF0jgBjHJHmexoMfrVxy7P8Ku/uLYa2pq6uLFi//zP//zt7/97fz58xcCr8uXLyckJExOTn6LAfiBvU7Tq98J9oIaOYWdw5GlfKrI+pY7jioe/RRBTG+UwgQQLBazbTrjKoXnIgjpDVKs5ODZcEJGkwwKW4eE4a/Ekd8OjWcEpJLQK++9NAaJP9E5aLoUQ74SRynuUjWQ9NktiqtxlFAc/nYyPb1RdjuZnhaIc6DfCgnDZ7XIpxY2sfSLy7HktAYpRTiBVSXw+ZDtXVdA0nAloUZc2DmcVHugH53bqsByqO+lMVLrpWkN0om59fx2ZfR7jXKoeI799Yp+rdvj2w8YgMLJ03lbnWZ2fdI28NCgouwnfRFu/CXYC/B1Np09LHNY0dB+Ini/whSb4jmyMT4fYp3bzG1TPs1ht9GMBe3D56OIoTj8lVhyTosCaxX18xtqeiOoLkRJV2dw+PJezYMMZloDSCgHDQS2mPHIn/7UlRvbztR6KTTfxP7W40yWenQZCqB0M803EqgkvuVVAUYwPYqU1QzgBfRduJ1M5yinowIhpdgKQXaLPBSHT66VxFQI0d2m1ktPWXbwqUdxwvZB2As686CEyLPhBM3oyieBV5hwfJpzAGKuALdyTVTZQTgNnMUN0qQaMV89ixYiwH7IaJKBv8CZDtfsl8UcJ+y+t7fncnu37K7tXZfDCXif8Eg3d1y5rQrUMCCtQdpE0qMUwKgywX6NYXSZIKtZDh8Lz0cRz0cSmykGbOQyJAyf26rQjIIK1oeZTCgwkd+urCeOVA1obyTQ0IF7mc9Nb5CeiyBCc4KNbRDCrejXoBuEhOHfVIs++/Q8Yfh+94/+4tgL9u/4+Hh3dzcUsv/WPf4De52mh78H7AU99dCCshf53LhKIVrVFRKGv5lIU48uw3iG14fQxFZIgLieQK3F667FQ9804v10Bl0y2UQ2gMf9JtkAdzysaCi1QYqtCLsSS05vkHIUM0+yWTcSaLmtCrgreAm7FAPMOu6lMc7g8EzZ9K0k4MZ9PpK4L4Q4vbjl9viIPMvPb6jnIggXokmRpXzTpG3zvWASLKTCD42/yOcm1ojU5uVtu2v/URgbmbuXBvyO0PZciSXntioE6rlrb6iwAWdw+B7m6NrGLnT6Qy+srwu4Q8Mz4cW8yFI+RzETdIXFOtOdPKlOvyV2P36/P+D0BwQ+EgKHhi1KwG55wvJnY6+ALZ2rpEuFZmpiygVLtl30LnjCj3o8PsjZepBxQGYPKxoq7gYVEmfDwThGlwkKOpQ3E2ntdFNagzS8mNdONxUHSiguxwDdkJuJtCtxlCtxlFtJYBrsOj1zy9uLqzsuzyfrcB5uqg9BuMqZW0m0yFI+vE+jg17YMUzkW24k0l4VcGGg6FEms4VqhBP+QhQJaFsQR9Dtz4YT6vA6qsia3SynCK2Q4n0ljlzRp8lvV77K57bRjL+LbG8Q9trb24MuWEBwv0WhHl3+JDgLDUwfZDCKulRX4ihnIwgXokgx5QISf+Ja/LvzCDx6BWzp6wgjFX1qngr08PtBpLHl04k14oRqUFcBe6+LYT4yWwe9VlMbpCn1EqrIOiiZNEysud1eBPGLtPPYKPi9NEYhCKWDCgn4VHYvjZHeKHv6YZTrUSZTYVy8mUiDF5ZbSTSZfhFX/AGhPqxwqKpf+6ZadOG9c1pIGP5GgOFwLoIIra+5yhlfoJI3EOcDgOxmItjV4Qn2F1jzXWCv9fV15ocvFovF5/PNZvNprnSfNMzfLfYq6lSdvjO/B+zl8fraaEZYsQWvMrmtihsJB5fRpBrxzOKWz4esbzt1ltWqAe3FGCBmfSacgCvmVfZrYZiqFj/yMp/7pkpE4I3TJJNnwgmwbhxbzfRrNiulXhpbIRyxrPQwR3vZo1ht6Pvp4HIJOdpZzTLjpK2ZbGihGidmgXk2EMJ2eCS6hap+bT9nPOBR/Y4ZCQIzW06yYCKrWR5dJridTI+rFAo1cz3M0TdVIhTe3UigZTbJrr0XMX+awyYJJqr6tWgMICQMv6/GObeyU/NWi7LcQnH4WrwO9a07E07YL+CFgR9gJeTyGifXJCPzEB0eN7WgStn04pZkZP5kldfDZ/Gu09NIOuDGXY4l68ZXPzX89tnYC/H7NWMrWLPCGwk0hmzqlPwqH4LwVLPYEMLNRBpRYGErpvPblZlNsjaaEVpOheKA03Blv6aXPVrRp6ke0GY1y/jqWbZ8umpAW4PXCVSzBusqkQ9Mpl/mc3uYo1+uleXx+gg8y5VA2LWVanyRz70WD8ysXhVwteMrDcSRlDpJUo04MhDNOh9FzGiS1RFG8toUxV0qisj6EhMGO4PDpzdIM5vlz/M4veyx6rc6OIVCw/DPcjls+fSXt/bw3DjNmsPYCz5Hudxel9v7qRNpvyAmsUZ8NoIQVyksCDha5rQqFld3RqdtUG4mJAx/LZ6SWidpJOrz2pRUsbWPPcpVzoBBfKvjKKYzm2SVfdqyHvXDDObNRNqbKhEqmYs9HOA5NrZyJY6c1SKv7Ne8qRIl10rqCSOW2XWP1zconUQfmcBVK4HaQjGQBBOhOPDrGY2y6wnUX7NY5X0a+MxwKYZ0N41RPaCliq0cxTT0JQMCuXWSdIw1UCgOX9ylCisaymySY03Qo8oEcZXCMzhCIKJPIfItXi+CIMjc8k7HoKmeOKIbX3W7vdj2/2WWvwvsZTab/1/g9eLFi1evXp09e/af//zno0ePHj9+LJVKv+5YfrfYq7JPu7njEusWBOq5E/5khsWdXff3gL3cHl8DSY8NdOW1Kerwuqe5nFtJtORaCZFnURgWF1Z3CjuGn+dx8tuVWDHrzCagbh9dBpIsqfXS3DZF56BJM7ac1SR/mMFMqBbVEUZeFXCvxVPAA+WAFophLtveUaz4qtmYcsHP8dQX+dz8diB1CHMEUDDC4/Gh1VJw/kOFiKAbv23TWdylup/OuJMymFgj7mSYspqB6OvtZPqbKlFpjxreBWMrgCJ5dLngWjzlVQG3Fq9jyadyWhVozRcsI59f2ZlZ3MpuUdxNHbyfxshtUzSS9Gh4IyQMH10m2HUAl1W7w9PHHnuay76RQIuvFEp0C8eFEDxen0S3EF8pvJFAe5HP6WOPnV4/bG55G7VUgpC3MpAD/aQLwudjL8Q/bFq6i9E/uxZPpYqsRwYqDjfJ7/dPL27FVR7k3Z7ksMnCiYm5DSLf0kTWR5cLqvq1UWX8GwnUpznsBuJIcp0kNwBunuVy6ggjSbXiOyn0++nM3FYFVzld2qN+XTh0LgI4rINJ8mVlEAjiN03akmrF5yKILwu4NPFkUaequFvFVkzrJ9YKOpSlPeo6/MgAdwxOktAw/OMsJl89RxdPgvLGgMUQnBsXo0mlPWoI9M+GEyiiibQG6S+pg3dTB1PrpUbrWtCkPdxX32jNkdjrs3/L4fSg6jA3E2mvC4f2uQoOFzD4YsmnI0v5DzOYDcSR1DrJL6mD99MZOa0KAm88vRF0BYxFUUXWIeXM6JSNJJhgK2bWt5xHprCdbi9wJ8tmdTPNBR3KWryuekCb16akiaw7u27zlC285J0DOiwg5SqnmymG7BbFkxx2drM8spQPgVRGkyy2XJDZBGS9etmjdYSRJpJ+UDIJheZxxTyBeja5TnI7if4wg1nSrS7pBiHeyFJ+USe43F1/Q40uF1T0aVB+275HmXnqXdFuoBo6UGj5Phn62R37h/3i94K9oqKiJBLJ2tqazWZTqVTx8fEkEqmvr+/SpUtfd2y+W+xV81Y3vbidVi+NrxSd8Jfbqphb2fkesJff7x+dXkcZwaE4fANRv77tnJjbHDYvKU2L+KFxjgJ4pKQ3yh5mMJ/kAKmI/YL/u6mD6Y2yBuJIM8VA4I0/y2VfjaPASnuOcjq8iEcWToCgRT8IWtDEk9BUOL5S2MsahRgF6jjMr+yozMvjM+tCzVxFn6a0R00RWiG4wc556FftdIEndY/3XVnA3t6e14e00YxomCokDF/UqcIW9mc1y8HtvFUxYgGldpMLmxLd/NgM0CVa33LqJ9ZQhnUoDt9KNUKb3mVgdjuW2SQr61UnfmgVklAl2rIDqfT9cBc28RFXKZpd3j4c+gJ6V8vbWPxx2DEae6RBy4tr9leFBzSjs+GERpL+OJAX9F307WdjL5jMzWtToj0cUcKfXTriMNHfClrwehG9ZTW3FYiDxFeJat7qXuRzsprl2S3y57mczCZ5ea+mjqB7yx0XaeaymuW3k+hZzfKf31AjS/gZTQd2xaFh+NIe9ZsqUV678nku51UBt51uOoEnFNSMoLcer29rx6kdXynvVWc2yboGzUS+JbKUX9arLutRM6RTYUVDGU2ynBZFTLmAo5zpoJvCioYeZ7Eq+7VDqhne8HRpt0oztlyD1z3OYkWV8TsGTdhhiikXCDVztXhdA3Fk2LS06wB+o86AI+qnhpqCWv6pb78u9kIQ/7794tU4ypsqcP28GkeRBdRiwbns8c0ub8sNC4Wdw+izyuvCobLeA15UaBjw6gEKyQFDQyzq8vkQu8ONemnvOtzVA9qyXjVveIbItyTXSTKaZCzZtGRkvp4w0kTWk4UTSbWS28n0xBpxeS9I7CbXSZ7msAs7hnnDs3TJZFqD9HEmkIvrZY0Cv40Y0rV4Kq6YRxZMKI2LE3Mb6tHliblNoWYurlKY06JIb5ThinltNOMZHP58FBH4PM6sywwLM0tbpklbXrvylxQAo5XGpc9I+mNHzYcgu07PF+4Eu8NvuvxdYC+FQhEXF2e322FXOhyOoqIiAoGwtLT0b//2b4f71+fz1dfX72uDuVyuubm5v//97/9f4BUSEnJ446A13zf22kqqlZxsdpTVJJ9b/i6wF4AvXmR0aj2tETDluwHhyQG1TDd3XM0UQ2W/RmlaymoCyZTqAS24xtVK2mhGqLB1PooYWcrP/VDuuaRbxVXOwPQigWdpJusvx5LPRhDupTFoIuu2Hbjaudze7V2g2gV/y+nyCjVzsRXC5DrJiGU1KEgA6b1pDdLkOol0ZKGVaggv4b3ljm9sOzd3XNjUT0gY/n4aA3u5v5s6OLu8Y3d4fD5kZX23iax/nsdpIuuXbbsI4vd6fSarLaVe+jKfO8Adh1RoyEd+Vcg9G0H4KZJIE0+iRm9nIwhi3QKU8GmhGs5jSCHXE6gq8/KR2GvYtITVGrgQRWqlGk958XV7fAOcMVQ47Vo8ZWbxE6APPPE/G3vt7e0hiH9x1d5I0j/OYhV1qaYWQAI66HpywlvIctu2u2hioBcPe+xcBIEumTwXQbgcSy4CXn4jrwqH8tuUvezRhGpRbAVgHO4/JmGhbUgY/kUeZ99t82kgcpbfrnyay+5mmtc3TyWaj7YQQZDF1Z2qAS1DNnU5lnwm4NBwJY48bFoa4IxFlwsKOocbSSNM2dSbalF4Ca9j0NRCMWQ2y7Jb5AS+pZVmDCsaym6RmybXnE6P0+VdWd+1bTly2wC5HsUcqfXSrGZZLV43PgNyZOgETqmTKI1LKMJAW/XtFr4u9gLkd5eHr5qLKRfGVQr5qjmXC8SA4cvj9XGHp7Eky6IuFTZhHRKGf1XADTIO8vv9WzsusmAispRf2DkMvcO9XmTEstrLMrPkU5diwDCdCSdciSVLdPNRpYJXBUNJNeLEGnFlvza2Qng+kngriVbzVpvRJGNIJ0t71M9yOcVdw/ih8WayHhZAwKE5F0HIbVXktSnNUzYE8e9r0yRUi0Nx+HMRwKgjJAxf1a+hi60s+dT4zEZFn+Z10VA3yzy5sEkTW1tpwKhjcfXjtSbv+yP4P5SMpksmo8sF+e3K6QCXI3ijP9j77wJ7mUym58+fi8ViW+A1PDz84sULDodDp9PPnTsXNCIIgqjV6rNnz8bExLhcLg6Hg8PhDl/3g76Fvv2BvX5gL3QywAWX27u26Zhd3l5Y3XG6gb7z6JQtvQG4YsdWCFLrpcVdqshSfnkvSPoINXN3UoBYw0+RxJxWBdaN+KdIIp43fi4CXMhgjqwDFDYCitiVWDKUYVSblxNqRM9yOZ0M08r6LuIH1shYfGO0rqGTGdJ7Dz4NJzBkUxeiSNCWe2ltp6xHjd7zQFFkszym/CDJldks9wR42asbDmyVE/TMhr/icnuhvgbsCgTxi3XzKFHsaQ64xydWi5NqxUzp1NwyUPhEED9PNYvGC4Fkdgl/amELbTbavbCaIQKTIrmVROepZrEP/ejGhxeAANWum62YTq6TlPVq4J3p8GYnr/kS7AX37PUi27vuT423oa3acbjDPlQJj6kQjM2st1INBR1KFLU8yWG3UA3ZLfKrcZT4SlESRk8rJAyf06qAaaDcVgXUpAjF4YGs7vuSC/Tnjlvw+/0LqzuvC4dS6iSxmArEkDA8WlaZWCOmS6zYCdzNNNcTRx5nAWlQtKl3kumW2Q10uEen1m8lARI3ZF7jeRbIPeIoZ7w+ACOwE1hhWES/eFxTv9b6r4u9Dp+MI5ZV9Fh2HG7ooYSej+DBrE2Jvg0Jw9fiR4KUShxObwvFcNCxKXQYWF1dt1sDJvfYr6c3SOvwQJQrtxX4NqIfRZcJrPMbDpenol+T2SS7Gg9Kp/E8SwNpBC0kCgnDh+LwUaX8tHqpRDcPHirWdoLwfXyV0GBdHZ22oUXcoTh8XpsSdfg4fa3J4RF0eXw9zFH0OepqHOU4l/fD3/291nwX2MvhcHR3d9+9e/fVq1evX7++d+9eTU2N0WjE4XBsNjuo61dXVwsKCl68eJGenu5yucrLy2NiYoRCoUwm29g4QuJZ/uHrzJkzFRUVQfv8um//mJ5CgZzj9xL32t3dxQ47g8E4e/Zsb2/vkQO9vuVspRqf5rKf53E6Bk3bdpd5ypbTqhjgjjWRDbgiHgy5t1INzWT9iGV1amGzlWbMa1M2kvRY8WhcMe9NQAccvSyGFQ3ltAAftBf5XP3EqnZsBS02DMXhG0n6bbsrq1l+N3UQQrSQMHxGkwwtJ4T0XnRvIWH4uEoh1Od8nMUyWtdGLKtQ/fxqPOV5HkdpWoyvEt1IpEGS2cg4MEiFpG+UtBESBiQt+OrZIwlDAbS0iRU4eJLN4qtmIacejfps2V2QNQIk0XPYdMnkcaEst8dHl0w+yWFfjiX/kjpY2a/dsn+a+aAPQRwu7+njJdPT09ihz83NvXjx4srKypFD/xus9PqQHhZGLzcMX/NW5/H6DNY1tN4NEpkzGgEBP7lW8kvKYAvV8CKPcy2ecj2BGlbEq8UDjfLwYl5iDWBowSnxIIOpHVs5ZSIPmHALLFfjgUI9lkUHdadgPWNqPVBzxc43XBGPKpqo7NNAPV740fmApcyu0wNl4bxe4LtQ81aX0SirwevgTHtVOGSctO1rksF6AnSf8VUirIvD1+1/rVaLHfrr16/fvXv3a/3E4ZMxseZAHiwwyqPNFMPzPM7VwKhFlPCYsqnXhUPX4ik3EmgAuKy9S+ygTZpc2Hyay0Y753wUsZc95vUC5bbF1Z2gWsXwYl5hx/DjTFYbzZhUI76ZRAso47Nq8bpl2+7e3t7Y9HojUQ8treA5jmXTB3xmDT1MsyVQwWPbckBpe/jrkCJW3qtuIuuxxgwPM5gZTTJYlPNJtSboMcKFxdUd1GsrJAx/NpxQTxj57OeZoJ1/o7ffBfYCzvBut16vp1AoVCp1ZGTE7Xbb7faZmZmgbvX7/XV1dfX19U1NTRkZGS6XKykpKTIysrq6OjExMTs72+0Otui6+uHrb3/72w/sdULo66+Rc5ycnMQO+4ULF/7xj38cib18PmSAO4Y+ep7B4clC6+qGg8i39ATYEuiVMalGrBldtm2CvOTOrntQMnk3dTBQsya/n864n8ZophiCVAdf5HEr+7W4Yh5NPLm546rs12Dp7biiIevcBqw8ymiU/ZrNCsXhk2rF6M0JS++FzYgo4e/nbkLC8A/SGQbr2vqWQ6ZfKO1WF3YOc5Uzqxv21Q3HoHSKwLdMzG3AS5vPh7AV0zcSDzR7biTSOIoZFEgFnWJujw/WAVx/A+oA+thjWzuuIOK/3w9yFnz13FvuuG581REwgwvaD3wL7Yx046tvueNC7Tyqwn/kxl9lZXNzM3bo/+u//uv//u//fkfstbe3t77pLAlkoO6mDu6XMswsghihYWIV61t1JZbcTDEI1LNj0+s81SxXOWOwrpEFEwSepZNhfpzFiikXtNGMWIXMu6mDw+alUwYRPV7fAHfsSizwsaka0GInfBvN+EsKsFRPqZNglffhM4NhYrWFYkhvBMJUUILkfBSxjjCiMi8TeBaucmZj2wlcKc1LHXTTqwDUeFU4VN6rMU6u2R1ulJ+OTuDPZqp9dHo8e/YMO/T//u///hWx1+GTMbpc4MCkHdc3ne10UwMRiCq3040jlhWBenZ0ep0qsjJkU0uBRH/QIVhmNx5lMtErzE+RxH3y3OaOa9i01Mce/cAAA4dvoxp/SR38NZuV0STLbJIBHkItqFXcFwybXADe1R6vb9m2SxVbI0v5P8dTCfzxbqY5plxwM5H2MINZ3K1Sjy2z5FN97DGOYmZmaestdyyxRnw7if4gg5ndosgKVKrmBKTt0SbdS2NkNcthKPSTak2CjvSr1M0E7fNbv/0usBeCIFartb29vbKysuL9y2QyHe5cOp0eExNjs9k6Ojog9hodHZ2envZ4PLOzs//7v/9rNBqDvoV9EpLL5T/iXicAr5hy4V8De50+7rWz60aD6vCK87pwaHvXPb+yU/1eVAKuv5NMHzYtQT1xiW6+ql/7PI9zMZqEK+bBiEXVgLabOYpmWM7g8H3sMZ1l1RIwGHF7fHWEEfRTSKBOrBHfTKQBnn4Wq6JfcyOBKtEtoHdTBPELNXMoXDsTThgYGr+eAITOi7tU69uA7rNtd1vnNyfmNta3nF6vb255p41urMXrtOMrsPbb7/fPLW/HYdJMcRXCuaOo8fDEgaoQUwtbEt1HVCEQxO8BkkPvVB+Dzjvs20CVAIIeF/ajr778Ry41PAUAACAASURBVIt7QV2DzR2Xdmxl2Ly0uuGAFgLr26BGFcVAz3I5ltkNjxfxIaCjQMcCTh7idHnNUzaJbn5yYWtyfhO1TwgNw2e3KFYDDMXT9KHf75+Y3XiWywkNCPYWd6keZ7GgYoVmbBlOy6Ra8QB3HJ2iZ3D4fQGquErhjYDS2JMcdvVb3YUo0u1keh97LOB/QAFK7vVS85SthaKPLhMk10pyWhSJNeL9AgulaQmYan84gVny6W83Db5p3OvwySjUvJNcgf0PBeEME2umybVlmx2SysEg+o51INi2g0wlOgduJdE0oys9rFHo9pjXpijpVj3JficsohtfeV049LqA28MafZDOuJlIu5fGuBJH3q+hRmXlYVnDxNymSDuvHV8JL+HFVQqzmuXpDTKRdp4kmHiSw74SS76ZCOq4h4Znmkj6ki5VWoM0rGjoQjTpXhqjhWpAw7GhYfj0RllYEQ+Wm+CKeUdSC04z/Y7Ui0EztqfZw2+/zXeBvaampu7du3fjxo3w8PCI9y+FQnG4u69fv/73v/89JCTkH//4x3/8x39ERER0dnYuLCwEeNPe//7v/x4eHj78LeyaH3yv7wF7YUd8b2/vBD9Hl9ubUn/gVYdm/ewON5EPFE3RR8BneZzxGUBz2Q99JdSIfgGGG4b0BumDdEZVv5bItzzMZL4q4OJ5lqhS/st8LmTEQ018eAO2zm2i8fwH6cy8VgWaPwoJw8eUC6UjC2jCER6Cy+3lKGYiS/nhJTyqaLKFYvg1i9VA1M8v78B7GCB0+/3wV+ZXAIcDctGwmoc+H2KZ3SjqUt1NHSzqUo1Pr2/bXc7jg1WwtWjLgzrzuLcBQVFXEKPluI1/s/Vfzvf6Kk3FDhPcIYL455d3GoiAyJ9aLzVZbV7vO9m2oF90e3ybO0BP3OtDxqbX89qU99MZNW91QHzuU5QmYHVFZrP8WS67h2k2T9pmlrZcbuBbsG/sHV7CK+wcbqUCsaioUv6LfE4bzdhBN6HzHyiYV4nqiSOwPg5dfy6CmN+ubKYYXhcOnY8iXoohn48kZrcoYPUGdgIzpFOHy3iDDvYrvv26fC8oNM9RzISXHC01jJ41AD0H6mg+eiywmKOVanySw06uk6jMyyrz0rP3WcifIonhxTyeanYhIKjr8fqW1uwzS9sr63bt2HJqvfRxFquVajxMgYdFHss2OzQnuBhDelMl6maa46tE6Kj9FElsp5u04yupDdKL0YCTCkVkynrVPaxRWNld2DnMU80WdanupzHy2pRj0+unFFg5fODvdZLNz3I5+zJpavPycSyFw9/9vdZ8F9hLoVC8fPlydRXQU075QuNer1+/zszMnJ+fb2xsvHbtmtf7EZ23H9jrB/YKmmMmq+3KQdkXZWJuU6ydj60U1uJ1uCLe2QgCLL1uIut3AgXz1vmNW8nAqy4Uh48pF1QNaJnyqX7uGORy/RRJTG8AAg0gSPZhWZzPh0wvbuUHhBkHpVP57QdUa0jDmpwHuYOgF+L3O6CrD+J3BwTTj7wCftTrw+P17ZdGbmw5aOJJXPFQQrVI84nS3kENQ9++N9JRPMpiNZL0h28G6Ja//cIfBHsdd+BeH7Jtdx93HzqyYz0e35b98zGu2+Nb29hVGBc7Bk2dDJNhYs3hcMv0C600YxvdKNcv3kigZjXLCzqGK/o1QVUCv6TQWfKpcuAcf+DVCEncSbWSJooht03xLJfdRjetbTjQ+BZ2Ah/XD99i/VfHXqDQxO/fdXocX9Viy+3xWuc2u5mml/ncqgEN1ov9YjSpjz0GM/6gWtlmF2jm0hqkafXSYZDzHWfIJmF19uEO9HoRitB6MYZ0Bkco7Va3UY1B1PucFsXOrntxbaeRBCqggdEZUf9L6iBbPt3LNpd2q18VcM/g8LgiHp43/lUyxT4fsIMMerw83PI/yJrvAnvpdLrk5OTV1YOykY/2PovFamtrc7vdi4uL2dnZjx49SkpKslqtH/3iD+z1A3sFTRKv12e0rlUPaPedgkanbArjAky7XI2nlPdq6okjUaX8km5gezzAGQPwZduZ1w7cYGDU6nwUkSKyasdW0AfWkDCgVI7qEMIHYp8PpJNgRg/ylFnyKVRVPyQQ3t/Ydga17fRv9+0dg9hmj7NYQZLiCOIn8i2w2uhyLPle2qDJunaapOEJzYDFjKiBdGgYqI2CrLgTvvWbffQHx14n9MNndKzfDzJcKOg5cucI4tdPrFb2a6FKfhNZrxlduf4+vnsnmS7WzjcQ9eW9aql+oYthxoZ+M5vkMeWCmHJBQvUHEZScVsWdlMEzOHx8pQg/NB6kpHBkM36Dld8Cex1uNvA1f39qH/70o2uwo/xTJDG5VoKl9D3KZA6bAKVv1+mhiqy4It6v2ayyHiDMdi6C0EI1Xo4l7z8iBp/mfpCtRhBASxVo5oq7VHTJJFU4gQ3wn48iUkVW+HDo8XgX1+wUobWsRy03LK5vOaCfARoke57L2XEEE6k/emh/9g2+C+xltVqfPXuWnZ3d19eHf/+anp7+FoP3A3v9wF6H5xWERNA3GluBfyeZDlMwsHrrDA7PkE4tr+/2sEbTGqSpQKhWWN6rXt9yOpweAs/yLJdzNY7yunCIJrKilHmvF4S7WPJpgXoOK2a9teMq61E/yGDeSKDtG3eoTMtBcbLD7TxhjQ9B6JJJtIo7FIevJ4wERcjsDjfURn9ZwE2tl6Y2SNvppq2A6tgJez75I68XeTs0jn1Y3zemVJmXT0YAJ+/zK37658Ven9SxkOhjmrRRxVapfmFnFyiaHtmNdoe7mXyga3AGh+9lj2JL3uIqhTu77i27yzABKiQym2QJ1eL76Yw3VSLt2Ep5r+Z14VAL1RBdJrieQL2fDvwEK/o0F6JJ4SW81HppZb9WO7aCtX8+shm/wcrfAHsdd2qf/uiCRvlJDrugQ/kiH1xGnuVyelmjQI4V8fNVsyjvMxSHr+jTPEhnxlUKXxUM/ZrNss69i5cjiN/u8OjGV0iCCYVxyTxl46tnJ+Y2XG7vss3OVkxHlPDhqOW3KxdWd7CTxOP1AaslBEBJcsCkCGKvUBy+mzn6JZem0/fGH2rL7wJ7TU1N7TPonz9/HhEREf3+pVQqv8VI/MBeP7DXcfPKhyCbO04sKyK5ToKq3dxJpsdWCJmyyZQ6ya0k+oN0Zi9rtImkL+/VDA2Dai+7w6OfWGUrpoOMC43WtZhycKO6k0xPrZeiJm6wXnLYtMRXz04vbgXVEh7ZSK8XcTg9x7F8tu2udrrpeR7nYQYTCmIF7WTX6cEV857ncnLblI+yWJdjyQ8zmG00Ixqo8Hh9Dhe41gd9EQg9OD1Hcrm8PoTAs6A8NiDxms5Qjy5/YTgtqAGf/fZ3x14+H9DyDgLBQYcDhtUVPKxBHXs1jpLWIDVNAmHMoK+DOnGPjy2fflXAvRpHuZcGCIhbO0dredi2HM/zOHeS6fltyuwW+eUYcmQpv5V6YJDwpkq0bXdj95bdIuepZmeXtz1e386ue9i83M8Zy2lRtFAM9cSR4i5VZb8GipPdT2dcjiU/y2UTeBaH6yP0j8NH8XXXfBL2Os0wHW7ecaf24S2PWxM0yuciCMl1kiHVDF08qR1/B2EdLk/qh5zUJ9nski5VRqOs9q0up1Uxs7QN6hw9gBDWxxl7GpB0eZjBzG1TZDbJ4iqF4zPrbo/PtungKmdq8bqsZllCjTigcXN0NGtrx9VCMTzL5fyaDTQs1jYcx7X/L7z+u8Bebrd75dDL6fz8/MsJE+IH9vqBvQ5PDyAwbXcNSiYzmmQc5Qxa6lXUOZxUKzkXQUisEVf0acJLeCXdqjaa8WYiLbFG/KZadC2e8lMk8UYCrWpAOzG36XJ7oWA9+hMejy+vDUh8oX8dgybsnRg8aAZykehXjlxAEP+KbbeRrE9vlA5KJo8MVoHgh8s7tbhlmd3Y2gHmP0G7Qvx+jmImtV6KVXh6kM6UGxa9QFLIXovXwRut3eGBz8Roz6Q3ShvJ+sU1u8PpweIzYBy0tI2K94Ti8IUdwxuBGsygX/9d3v6O2As6neN540m1ki6GeRVDgUK7AkGQpTV7I1mf2SRjK4DtNBqKwHbs8zxON9PcMWiiCCes85tBQQi/37/PmseqOVxPoHKUM0didKcL6Hn2ccaSA27KFJG1kTTSzx3La1deiiGdDSeozMvTi8F7Y2NESWybjpR6SVqDFD6EgPmfSKt+q8Mmql7kc7Eqwejx/pYLp8RepxmmI5t95Kn9jg126NQ7cg+QjRB0+pT3anpYZmjPCueM2+Mr6VahFxCoZlwzoGXJp1PqJGn10pHxVY/Ha7LaOhkmLPPhbupgWoP05zfUvDYlWzGln1h9UyW6nUyHUeo7KXShBuisHm4bkIZxeicXNq1zm9g5eXjLv/Ca7wJ77e3tQcXU8+fPT09PNzc3Hykw8VWG+Uuw15HXssOt+lraqrEVwm7mKHK6UqaPOjB+V9qqQYNyXJ1jgH4O1IkcLm8TSQ+LvYFYqHgyvgoYvMgNi2LdPDSzQ9N5t5PpA9zx9AbZzaQD0az76Yz0RhmUM8X++sa2E0txDQkD6tKn95NGd7W24UC9GkNx+CaS/jRxhYC8lmdn141OXZAb5VtQideQMPzFaFIva3R2aRv1jT4TTiDwLB4v8M85omcqQc/I9AsoAkAQZH5lp6gL1MO30U1/HLLX3t7e74i9tu3ugo5hVEHgTZVofSv4eXJlffdpzjt1zTM4fDfD7HIfVDvCjsXzxnWW1bdD4xEl/LhKIVM2NbP0QU2G3+9XmpawxKxzEcTqAe1xpGaJbh59ujgXAcDWhShiWoO0hWJQmUHi+8i97To8W3aXy+3dFzR5kc9Na5Bi5/+vgWpN1GnqSiyZJZ9GZwg6jX/LhVNir9MM05HNPnxqvyrgNpBGogOOlsd1/uFdYU+fLoa5Dj+CFh6ic2ZmcQv1GzgbTiALJvQTa+ia85HE0en128n0zCZ50KmdVCu5n864mzpYix8p7By+ihHEPx9FbCbr17ccKDvicNu+5zXfBfbaVz5MTEyMiYn5z//8T6vVmpOT8/jx47GxsW8x8F+Cvfb29go7htPqQZnJkX+ZTXJmgNbzpkp0cnipoANkVNPqpSdsFlsh3JfbUY8uZzXLj/w5uLKkW72wav+BvU6YLYexF5RdKOtV309npNZLmLIpLH34VhKNrZieW9k2Ta61042D0iksAfZ8FLGoS1XUpYLuLvB59Fo8JaNRltEkc7o/SLUc+XCMjXud0Gz0I58PoYqs194TokPC8E9z2GMz62iMBN0Su+B0ebnKmagyPoyawMQBUPW0rmElze6nMyhCK0lgeZbLRjUvwop4Sza73+8fm16H4OByDJkqtqL3bBggwTYAJqQ+9dCwDf4Wy78X9kIQv8K4iFVPvZlIA9EjzKOU1weoctib5ct87vTiO+OmrR3X4uqOZXadq5imiKwo3edsOIGnmsWWRn5S3Gtn1x2LMZ6CnkI9THN4MU9hXITNOxxF62WNQl/LN9Uivmq2akCbXCfBzv8bCbTslnd+R1CU9U8R9/L7Pz5Mx03Lw6d2frsSRpTPhBM4ipmPpt0hT9+26TBP2aYWNm2bDu34cl6boqBDmdYgvZs6+EvKIFsx7XJ751e2+aq5vDZlbquCyLcQ+RasYUB8pSi5VnIxmpRcJ8GGtNG4V8BtTJBYI8Y6wN5OplcNaCJL+TEVAoF67gcCCxro7wJ7aTSamJiY5eXl//3f/52dnbXZbKmpqTQaLagvvsrbL8ReJ6Ol+EoRRWj9inGvAe643LB4MpI7pRrqj7gXqmvv9/uXbbtYfvHDTGZ+uxJ93LyRQG0i6/clyO+mDnYMmtrpJqxL7rkIYmq9tI1mxGpSvyrgJtaIcUU8lDuFTtcvJ4V4vL5e1ii81Z2LINxPY0SW8o+8t/n9fo8HcGZ9PkRuWERv2O8Is4Ebv8PlhWUBkO+V3SIHl+xsdkm3GrWUeZTJnA3or+osKzAellQrxnoNQbWnL7le+xDEDThOR6Q80K778oVvhL18vo803ocgfPXsrSQgKR5Vxn+Szfo5nkISTGCxqdvja6UaLmBcye+nM8Zn1vf29maXtusJI2+54+00YyvNiCvmYVNOybXioNK293yvoY/yvdYDfC/s3qJK+WThRPWAVje+ArGX2+NjyaZf5AP2GNCE6xyufQtMjeC3bifRGZLJFqoBO//jKoWdg0C9KcD34vxZ+F6Axq6evYlxfbgaFzxMJ0zCEcsqrDm4nUyPqxRW9GnQjk1vlO3suk+e3j4fsGPKaVX8kjr4umgIPzQu1y+k1EvupAy+yOdW9GnSGqRvueNs+XRsheBOMr2oa1isnW8i6/PalSgPFZZIw7cfUDkzAd9rvxm4Yh5HMX0Gh3+cyWogjrzI51wBNc7AF7KeAAwiz+CAyc/+jebk1p7QD3/Jj74L7DU8PBwXF7exsQGx1+bmZlZWFplM/hYj+gN7nRBp+8vo2gfNnKC4F4L4lcbFOwEfFXitvBxDTq6VQMuUgMypIKNRBj+6Fk8p6hzObVVAceeQMPzPb6gdg6ZWqqHmrTasiHc9gRpRwi/qUj3KYvWxxw7nWQ6KoTQf1DkGNfKEt36/3zi59ms260YiLb9dmVwnyWtTGibWgn7L50MWVu14nqWbadZPrDaSR9A7AQhF5L0rFA+QOTw6yyqJb6l+qw0v4UGpi1AcvnpAu+9UE4rDF3WpIGdrdcOREzj25DpJVBkfu8PYCuFp8p6HjwtB/BvbTqZsqmPQNGxa2lfHwMbPEMTvdHu/ltfbV8deCOJf33IOSic7GWbN2MpxfkrATmBlu5tprujT5Lcry3s17XSjZfaDUCXi9+vG30FbIBcXBuwKNrZdXh9STxh5nsdpoRjupTGyWxTYG21IGH5/LIJQL1rnSBNPSvWLJ3B0nG7vfrejQOpMwHc5pV4SXsIbm16HoRq3x8dTzWY1y1PrpWkN0vI+TUnXAd8I+jnOr+yQhROwbi6hWizRLWxsu4bNy2ThhM6y+mepcwSkuuXtNxjR0VcF3PGPRZSBTaoPWbbtEniWGryulWpkK6Y7GaYrcWSYxE+sEee1KZvIesnIPEqdPHwi2DbByYWeU9fiKaU9alTv42ocpYtppomt+1at6DaxFUKqyBpVxu9kmFEWxL20QSJ/4gwOfy6C+LIApIM76KayHnUdAdA3U+okDST9k2z20xz26JRNaVrKa1OkNUjfVIkiA+o5NxIAdyK/XXn6POnhY/nrrfkusNfs7GxkZGRdXd0///lPBoNRWlr68OHDkZGRbzGcP7DXD+zl9/tHLKuPsljoFe3nN9ROhrmRpH+YwUysEXMU01jz6WvxlGayvg4/Am31OgZN0MH6l5TByn6NSDdf/VabUC3qY49tHiPQBZILyDv1+c+b1R6PTzO6TJdM3ktjXIwmXYwmPcxgWmY+MI+fXdr+NYt1KYZ8IYp0L22QKraijBAAKCuE2Bu23w8AEPayDm2Vy3rVpT3qyn7N/MoOtOKemt+sGtC+KuCyFQdVCDDnCHCSy4ul3p/m6GybzuQ6yZU4yvlI4u1k+lvuOLzo+/2gQp6nms1ukdfidQGNVsA5+5LX18VePh+yZNuNrRBeiSOfjyLeSaFTRVZs+g/b1C27q+at7noC9adI4rV4Sl6bcm3zoF4MFjFwlTMD3LG4StHjLFY9YWR2aRtB/Js7zoeZzNgKQXGX6kI06UocuZs5ioYwz4YThk1LWLSK/ijMYZ2c6tqyu1qohs5B84s8Lq6IRxJMNJJGICObq3zn8glzjheiSNfiqZdjyT+/oWY3y9Ez4kIUqYth9nh9bo9vYdVumlxbWd/1+qCWO1AoOLJtaCN/s4VT8r28PmR0ar2oU3UvdTCzWQ5468cYDGBbPr+88ySbfSmGfCmG/CCdyRueVZvfWTPBKpyrsAonkdY5aHY4P+AhoPsxTdmwZNBzEYT4SiFKbzgbQQAAjmK4HEs+A2SchZnN8vBiHls+rTAsQteBVwXc1wVDrTRjcfdwG82IK+K9LhqiiyfLetTX4ilX4ihX4yhnwwmPMpn4oXHN6LLL7R0MXEPQfHFUGR9Cz+qAxTvath8L3wX2Ah7sY2N3797913/913/5l3+5dOmSXC7/RmP/A3v9wF57e3t2h6cS46QWXsxb23B4vciW3bXr9Jisa68KuCgyuxxL7ueM2R3uzW0nnndgvB0Shk+tl0Kq/o7jgM/+jaaux+vDPiWHhOH3tS7RG7/L7S3rOUh5hITh4ypFrVQDPIqz4QSBei6oYW6PL6h2Pa9N2TFoepzFiioXoFoYgfJ179zyNl1iZUgnYyuEAa79osfj3dcki68SxVQIZSMLHs8BSRz7Qz4fsr0LLIzgSqAeJJzA6oG9LOBOzG2CbKkXyFWgIONu6uDSmh27q89Y/lrYK2Cd6RJpgVIlNkuIK+bNLQOQGvQK8L2WHmQcOCXfSqJzFDMw5wiBVwMRlHecwYFZ9JY7hirruj2+NppxUDJZ2aeBUZCIEt5AgGv/pkokNywShsYhPkCLRYJ+/YS3YNAbJM9y2CTBxAB37OcEalqDNKKEv59AVAZkPPf29g5z7eMqhChV6KuMywkt/FofnRJ7wZ+Drg/o2XRyG1weby3+g6BydJlgbXN3xLKa367Ma1didf+f5nKMk7Yj8ejc8jaueAi9zlyIIqU3yO6nMULCwKzIbpHTJZOtFAOuiEcTT6bWS5/ncVppxoVV4Cfm9vjmlrcJPEtem/Jd3WIyXaiZ29kFNglFnQdxSuiSDoXpnS5vUecwytoMCcPfSKAWd6l+iiTOLQOhih8vtAf+4thrZ2dnC/NaWVlZXFyEKzweD9oLX3HhB/b6gb1gaffmtositKbWS1tpxhXbLrycDRuXEmtEZT2qdjoQkjgfSbwcS46tEE7Ob0IqzPzyzuNAbOliNOlBOlNv+cAICwYejrzOfvkctjvc6DMxvF4/yWGjvJ/NHde+gTF6HQ8Jwz/MYE4tbFb2a/PblXLDIop+AkG4d55zesvq/lFcjCZdiiE9ymT2c8YuRJNuJdH7OWNo0QCU3n6UCcKEl2PISbVismBic8elNC6hF/Gz4QSRdj7owCGvrp1ueprLjqkQiLXzLrfX5fbWE0fORxLRpgIL4bEVv9+/ZLNjTWxgfOVIUbHTd+bXwl4wVYcr5kWXC85GENDG30mhm6dsh9vj9SIM6dS1+AM/0Msx5F7WqMvtc7q8PNVsA2nk1/eR18ux5EeZLKZsCiaREb+fxJ84G07IbJbFVAiuxgEdkyfZ7C6GubBj+HIsWaiZW1qzT85vVvRpYLEIsIc6Bvsebhtm0MkPMphvh8ZvJNIKO4YbSCODkkmH03OYa08TT3KVM5lN8noi9Iz60njk4VZ99TWfhL0+6de37S6UGQlnwv00xszStsvtlekXirqG0ahSANzQpCMLR1Kp3B4fVWS9nUyH15nXhUPNFMOtJHpY0VA3czSqjP84i1WD14m182jQMRSHbyTqYR5zbGa9uEuV1Sx/ks3+KZJ4PpLYQNRD+Di3vPNrNutmEu1mIu1RJnPk/WXK5wMKzNjyjtgKIUkwMbe8fcqC+k/qqD/1xn9x7FVcXJxyzEuj0XyLkfuBvX5gL3Re+XxA0xINRRita/Ch81YSDc+zdDLMqfXS0h61bnxl2/5OqRJBkNml7V72WOegaXR6HU1PBNQcvPqJVZY8WFsV/bkvXPD5kB6WGWXqhOLwbTQjyt32eH34IcvBp2H48l6Ny+N1B6j36KXf6wN6EELNnNywuLnjcnt85qn1Npqxok/TSjVCqcayXnV+uxKNOXm8vm6W+VLMO8PdkDD8o0wWTzWLNQCAJLkg0zeXx9dCPZBQvxxDhhIG0pEF9F4C2UsLq6CmcmZp62HmQaDoXASxFq87ZSjiuL79WthrYXXneR7nZiKtoP1dmAHedDOb5EcqTyJ+/+j0OioLEhKG/zWLpR5d9voQsW7+QhQppwX48FyIIuGKgRx8doucKrJCmhSUwL0YTXpVwG0k6WvxusQacXaLIrZC+FMAs8ZXCtvpxuoB7S8BzuIZHD6hWjwTyFce1w/Y9R6vb3R6vXPQ1MseNVjXqgY07TRTG82Y1SxPqBaJtfNOtzegrfoBc9+HIE7XV+PhYdvzjZa/HfaCVonYc62wY3hn171veh1dLoBG1Cg6j68UTS9uBT2WwEP2+/2bO663Q+MJ1aKizuF+7lhOq6KqX9vNPDjdQnH4km7Vs1z2GRz+bhrjQQYzrIg3Ob+5ueNqII48ymQ9zmJBQuqdZDoK8nw+xDixVvNWV9mvkesXsUSuzW1XSZfqbhrjWjwlrGiI/6PC8Zj59xfHXn19fU3HvMbHx/f29iYmJj5qj31M1x29+gf2+oG9jpwZINFDN16IBgjjDI7wOItV3KUaGp41TdqCmMvANc+LBMnQv/cUYl855Cl05M993sr1LWdln+ZRJgso1/eol2272P3YNh01b3WPs1h3UwdzWxWW2Q/YYHDL0an1pBrxrSTavTRGgIG0a5nd6GWPNlMMDcSR0h51YSewiCnvVS/Z3uX7PF5fF8OMFoGGhOEfpDPaaMYg6n1EMS+I7ra68U686nYyPbKU/zSHXdGncbl9dofnLXf8ZQH3VhItuU6iNC5BLTG7w9PJMIUVDcHn8hsJtC/3Jvpa2Gt+ZedpLhDiiqsUAiWzHPbtZHpag1Q7toLCX+xY7O3tQY0PaGmAK+JRhNZdh8fp8qY3SkNx+MgSfkqdJKVektksv5/O+PkNNaqMLx1Z8HqRbburakBb0K5MqhWn1Es4yumqfu0NTC1eNDBVFEaW8uMrRbeS6AUdw+mNsgaS3jxls++6j2sPtnmBDK8P/Naua2h45k012M/tZHp8lYgsnHA4PU631zRp+yhzH7vPP9ryt8Nee3t7G1vOesLIkyqJywAAIABJREFUr9nsX1IGs5rl5sk1BPHPr+w8y+XEVwrrCSOvi4auJ1BjyoUS3TzkRAaNi9eH2B1u48RaE1nfwxot71UnVIuymuWdg6b0RtkZ3EFs9VEms7RHXdAxnFInSaoVl/dqZpa2BrjjB+APh28iG4g8CyocuLbhyG6R300dvJ1MT6mTTM4fCMIFsuduycgCXTI5Nr3ucnuPxIV/tNH87dvzF8deH+3QS5cura5+kNb56FdO3uAH9vqBvY6cIV4v0s8ZuxwDKpXg36vCobGZdTRidOS34EpQsGZZxSpKB3lpn/DdT/oIXjdNkzajdW3zkHI9dM81TKypR5dXN3Zdbu/Ortvh8jic72yCPF5fUecwLKl7msPOapZLRxagB2XVgDa2QngtnnoxhvQggzkwND69uAVTYH6/3zK7gRaBhgaYKLEVQqIA5MVgX50JJ+wbX6JpTXhQG9vOmAqgKlTUpYos5Wc2yQXqObcHXOsDEp2bmrGVhVW7xwvY2T4fMjG7UdKtiq8S1RP+f/be+ruNLNse/5feL/NZs977zloz8956MGM7zNRh6FBLZmZmZmbHtiSLmRkssmTLlpmZxCV/c3WTSsVJHKfjdKcz0srqlkpFOveWa9c5++xtLOhQCbSzh3b4RbGCK58U9nK4vMB4B084E0l6lM3OCYRufmV3fctxKNuHniQ0CZ1a2JabFqDTgMPp2Xd6+nljgWgoWIqpLoblWuK7umROq9I2AzJSFPHEwyzWhRjy5TjKs3wuQz6Jtk2cCieCiRpLvp5Ey2lV9rBGn+ZxLsdRLsaSn+RyuOrpbqZ1ZQPU0OGZeLy+PYf7UEssepJ7Dje2hzEUB7wCHS7A9ziOMze6n+/wzYljL2wkEcS/vevSjy1rrEsLq7vbgRRyAG1PV/Xr0xvldUQDQzZpmVxb23Iw5VN57ape9ijUqQceFRv73UzrAM/G18wKdbNpDfJridRzUUO3UxndTEtZrw69skJwhBeFPK5qGo7yhRhQnn6dtMYSUmEX89aOC6Iorw/poL8ziQoJpMDRDD0cKQQBtutB1HXEvP1Xx17/9m//tri4eESAvvSrIPYKYq+Pzhm/37+wuvck543IOPSi/tRt9dAevF7gPotlUVyOo3BU30TX2495HToNeL+EOAYYEA2ZXhTy6olGusyuMC44nJ7NHeedNMbFWHLlq+HSHm1pjza1QQ7yWJms16L8MOcHsVRMhUhpWphbBrWSzR2nUDMjM8wDM6IcdjPZTBZP3E5lvCjkEfjjkWXCiFLhkHB8Yu49AQWPx7ex7TBPrJV0a89GkUJBAzwxtlK8/rbXD/0d8FdML27DnqywcOKFGLLcBCgyX39vOCnsBZ1nBni2FwW81Ab52PTG5raDIZuKqRBlNStt05ufSs/DDJN5Yq2gU93DsrZRR9IaZULtLNRLG+CNoappoThCVf/ws3xuWoM8oUaCPgOE4AjVA3q+eiaiVBhdLhoSTcDu1IdZwGsvv12NXTOhRpLWIMcV8xfX9jxe3+LqbmU/8MJ6nWj8qNHT9q4L2xAQgiM8ymLtOj5u8/fhfPuel5wg9gLS88u7JT3a8FIBIDvuOOeWd0p6tPgSQR9nlKWYiqsSF3VpJue3hkTj56KHwvDEM5Gk26kM+9xWPdF47u38j6sSr285VzcdOS1KrnomuQ4kPmsHDdikJq5I8Jq3gBqkhuEJbdSRij4ddpST66TttBHskuzWd203u/tutDECrnMvg7n9ljXxPQ/Zd3VuQewVxF5BbdWvvSQP6Xt9ancIAjwNqwcMCdUSkhDwT6cWtlY33/TPf2qrg4MDBPFrrEtY0YqneVzTxOrXQwf0oDAJsbq5P7UAqB67++7pxW3Q2+8FrHksTPH7/aubjpQ6GfyzG4ojJNZKE2skbOW02+PLaVXGVYkTa6WhOEJ5rw7ed3HF/KhyEfZR+6cUej9nVKKfX98GQlwUiT2yTJhUKy3oUD/L59YOGhJrJOeih64lUIu7NCLd3NQC8AKHZ+v1IWPTG/ntqrsZzOJubT3RiKZ2riZQ6bLJD3Mwbo+voOM9DJFUK8WSVNA4fOmbk8Je8Li+QJ3IBeTHkEGeDRVYOh1BtNjX952e2eWdxbU9t8cHkaXPh2zuOA22lZQ6aUK1JLNZcS5qqJ9nOx1BPBcQCjkTSRrk2XJalFfiKQ+z2OkN8oux5OoBPVbLNwRHiK0Ube+6NradvazRG0m0U+HEy3GU5iGT0rwYXvqe7Oq9gJH2xRhycbeGKZ/Kb1PBYQ3FE2oHDbB67vf7952eueWdxdXdPYe7KJAKRW/kFa+G0f4G2Hy6tL43s7S95wBKoSc4pb90KL90/ZPCXn6/f355N6pMmNYgL+nWRpYKu5nWR2/7JELxhPx2NTSKyG5W4ovfDcepcGJxlyajSR5VLqzq12c2Kx7nsGmyySHRBEk4DhOZj7LZCTUSbOfs9SRa5athknACKOqVCWnSydn3zTqBXX06U2ddvp5EOxNJOhMQaoF2CPC5a23LUdn/XstzdovyQ83nL43nv9r6QewVxF5B7PW1V/0xsRc8DPTGsU6uF3dr7qYzo8qFXNX0Z4tfew5PO20Eim89zGL1sUcdzpNs1HW5vULtbFS58HaAy9XHHn1ZxEuslcAKo8aytLrp8PoAC83rRQTaWSyZ/adUYKmbUi9zOD2jU+tlPVqoK/uykAcMB3GEWyn0/HY1Nm+XVi/roFuS62Rksf1JLieyTNjPHctpU0GKyctCnsay1M+1Vb4aFurmsL7dsCkSq8MeUyFKqJZABHAhhtzLGkVRGjqu+04P1go6BEd4msc9kbvFyWIvmMTyIcjy+t6hok9+u+oVd/RRNvtlEW8AKJJ4PF6f1rKc0aS4mUyPqRB10EZiK0RR5cK0Rjm+RJDRpHgtERJTIUquk7bRAHG+egDcns9GkXDF/NzWd5KboXhCJ90CC8cb206y2F7ao+Wopje3nW6PF8v7CcERcltVuGL+2ShSQrXkWT63ql8P20dAQiubbZ0CYgcrGyAn+iSX86KA18satU6tR5QKryZQryVSo8pFi6vvdD32HB6iYBxXzH+Qxaru1898gjOOjuN39eaksJfXC9ojmslA6wGyuzrpFqwU/oNMVmazAraGhJcI0K6UMDwxvVFOEo43kExFXZrGIRNRMM5VTbMUU69pjhDsXk2gZjUrf0qho9g3qlwUVyU+HUHElwiyW5RSw/yew93LHkXZXSE4QnGX5hVntGYAyApmNStMb2WW4ZTLalagGoSX40HNuplslhk+3mv5XQ3Zd3UyQewVxF5B7PW1l+QXYa+Dg4ONbWdhpxoVsr+dxtCNLqMEmo+eTUAXFDBYX3HGgFa74z2t9o9ucvyFSEAMFn3UDsGBvrboclFZry6zSXE/g3UnjZHTqrRMrr/ijqlGFpnySexf85vJtIwmRXqDfGF1l6eeaSaboP4QSH316ZJqpXfSGOV9uspXww8zWTeSaDEVIqrEHlEqiC4XpTXInhfwMpoUKfWyPs5YeqM8ICbJNNuBqr7L7T0UFi+0nsRY9sKjwxrKo2y2cXz1Q/FPHwJa39E0Uiie0MW0fpgeO37E0DVPCntBjpp1ap0oGOepZ+xzm5B6j94y4yoB+R1+DMMTXsPfyYUtbCvokxxAsEtvAJbVWc2AX38rhZ5QLWkaMhZ3ae9nMHtY1h6W9VYKPRRPKOvVJVRLbqXQ72Uws5qVxvF3gp9eLxB2YsgnqRL71ML22uZ+ea/uQRYL7q2sVxeKJ9xMphd0qC/HUX7O5aAJxfsZYNS8PqSL+Z6uPUM+Ob24TZNOMuRTUDsKRg9B/ALtLCq3Foon1BEMn30IQSP/u785Kezl9vhEuncPM6E4QkaTAtvBejedWdylyWlVVvTpcttUmU0gvxWKBy71Q6KJdtpIYYf6aR73Sjwl0HIxMTy2nN4Iav3wX2SZsLhL8zSPey2BGlMhqiMYUFf7K/FUqsS+s+/iBgQ+0DkzwLO1UsxnI0nP8rldDCusJ/r9/unFbSg0AyBdizKrWVHarc1vV/+Uykiuk/6Bxu53nzwHBwdB7BXEXkHs9bVX4pdir9HpdWzR51zUUCvFfByxAwTxA8mKtzTnrz3vt9sDlQfQdv6uD+CnFHp1P8iUoE/D0JEmukL0IIvVQDQmVEtQ7AiTK2TRRHy15KdUekqdDOUYXYmn5LWpWqkjJOG43LDQSDRWvhoe5NtqBw2XAoqyuGJ+cbf2QSbgfd9MpifVSjObFSXd2o1PKPj7fAhTMQWLjKcjiJFlwrw2VTPZ9HMuJ7ZKLNTOfqqSuLvv7mWNvijgPcnlvM7KrGy818L5NhJf/P9fgb1gAxpad4OH9PkQqX4eeOHFUW4m09Ib5W0Y+YxT4cRWqhkrGJvdouSopq8F3FrgLfZSLDmtQZbTqqzBjFoIjgCNky/EkHNalSLdLIFvCy8R/FLE62YCKNZAMipMCyLdLJpGXVnfj6sUX0ukXk2gFnSoJ+e3NradetuKeHjuFWfslyI+vlhQM2iAabkXBbycQAotFA8MizZ2nDv7rkMqcTEVon0nmLaHJOkdLk9OqxKFCDBzdlLj8sUD+eUbnBT2crm9zWQT9N2C0biTxih8WyK/nkitIxg4qqnoCtH1JNrFWPLjbHb1gD6uUtxGHVGPLJb36bCW6r8U8TvpFrpsEi3xn48eIgnG+9ggj5VSL6se0KN9LfgSwdQCqPamv82VlvZo22gj1QN6sngcWG12a8emN6D0oA8BCW9oEASatYGcPbuwUwP3ltms+NSl9+Wh/ZfYIoi9PoK9EARpb28vLi52u93r6+sJCQmhoaERERHLy8ufnRRBrn2Qa//ZSTKztI2tKF2MJRME44daxD+7kxNcwedDaLLJqwnvGuIe53B6WNZDjkAPMlllPYCT+zSPy5RPlfRo76UzCzrUA7wxnnqmacgE7xzXEqnVA0Bw9V46M7NJQRDYBnm2OqKBrZiiSYATfGGHOrEGCKjWEwzJdbKXhe+kty/HU7oY1sWAsvZHf2BAInU/pkJ0N51JEIwn1khjK8UsxdTE7MbaFqiKfoowBBJLHt/i2t78yu4hh8ePHuiYC78Ie/n9/vUtx2sF1OgKUQvFDBV34YHWtxyJte/472ejSP3csW4mGILoChFTMVXU+R5frWbQIDXMYxH8jSTaK84YRzWN1Y8F3J0MZnW/Pr5a3MOyJtRIclqVAu0sSTheTzA0kow89QzkdA/wxja3AURqoQCvgvPRQ/kd6rJeXWSZsJ5oXATtor7tPZfZvpbRpLiaQA3DE8PwhAGerahL8yib3UgyzS8DPfTXmgLYHwKN/D76XOHx+uoIBiz2iioXbe2+Ebo7Zvx/x9VOCnt5vD7YWIqG4nkBT2ZcSGuQZzTKu5nWsh5daY/udMQ7ueDYSnEz2XQnjTEkGi/sVKNVyBAc4Uo8JbtFmVQrYSqmYivF+GJBP3esnmj8pQg85NQRDIk10nqC4UEmK79dPTa9AYgEHl9Zry4MT0ypl3UyLJHlgHlmmVyfXtja2XtHwgOsU8vS/Uwgiw//XU+ipTXIbybTTkUQR+xrn7r0fscx+p4P/YNjr93d3Z1PvKCuvclkOtRA5Pf7DQZDWFhYdHS0y+VKTU3NyspaX18vLi6OiIj47PQKYq8g9vrsBe/2gL+250G/EuFUBBFXzMca7Hx282+xwvqWM65KfCoC3FDPRQ2V9ejK+3R57e9YQVCkNL4K4APYZel0e7d3XXsO957DvbPnSm0AFJNT4cTTEcRT4cSUOhlLMTWzuL225WihmJvJ5pvJwFL3ZhItv13FUU3dz2QyFVOlvTqUKR+CAwoLdQSDy/1x+yD4wxHEv7S2pzQvorIIYeFEnnrms9fmt4jb8bEXFLrMb39Xa46rFK9uOuBp2+c3b2JIOaF4wKza3HHyNTOZTYrTEcQe1ujFWOCkGbBBpEwvbI9Nb2Q2K85Ewh5PUkyFSDQ8a55YrR7Qo3fHEBwhoQZw8NuoI2h173QEka2cymiUB0pR7xpvy3t1S2t7kBiHLxFkNSvRrCeumL+8vg+p1lPzW3ntqrgqMUc1s+/wuD2+nb33RL901mVgERgOpsHlOAqkaX80+PMru1figSFgGB40n3JVMyee0/3ocU9k4UlhL5fbawooyATiAK6+OoKhg26enN9iq6bDwonR5SJ8iQAdixAc4VYyvaJvOAxPyG5RUqVAuR4d8QdZrLQGULg/FU6sJxql+vmsZsW7FHWluLhLo7Esbe26sEYF04vbd9IY7bT3JsnkPHDiwsZqd99d3quDbcVnIkmJNZImkimrWTkSYAhg1wy+/2wEfnDsdf/+/dOfeHE4nI9GB8KsJ0+eZGRk7O3t/c///I/ZbD44OJifn//b3/62s3PYlMr8/uv06dOVlZUf3fNxFqY3yI/ALvFVEooYZA4SqiVHrBZTIS7sVB8cHBy9t9hK8QDPpjQHa47HGZn31nE6ndhhF4vFZ86c6evre2+lT3+A5C2hbq64S9PJeE8t6dMbfdtvEAR0L3YyrIUdao5yWg6IZaNUqf1ZPhdqOz3MYrfTgABVCI6AqovBm/HqpkNvWxngjeGK+BlNitxWVWSpsKBDndumqh00uNzezW1nI8mIrao8L+BltyhfFvL4mhmshuq1RCpLOe12gz6+I36w2+M71D0XVS46RDf5RgpDi4uL2KEvKSk5f/78ysrKEWcLv0IQv9K8iM1UXU+isZVvhEI2d5wZTQr0Dno2ikSV2D1eH6jyBFRPk+ukPPXMIN9GFI6PTW94gGHAehfTWtChDg+Qpjvolvx29Y0kGlc1/XqAwKjFkJ/kcDiqabZqCl/8LrkIclHtapDx6taiWgPAJCqLNTy23Mu2nokgZTQpsJWsK/EUstiOpmaBx+hbUbcPf7jb4zPYVqv69Q1Eo31u6wheHYIgCyu7zWRzWa8O2lIdPe4fHuu3XDI2NoYd+lu3bt25c+frTwBYc5oXueqZwk5NbKW4g24hACV6aR9nFDL8oEwxtByAMyS5TtpIMr4o4L2+Qte3HJWvhm8m089FDf2UQgeXVRFohniayyHwbQO8MZTdBZ58kumNgYI7GmeYDzbYVpjyqbJe3e1UBorRq/r1LgCq3+WSEQRZ2djvZY9Gl4vqicaFlV2H0xNUT/11c+AHx14jIyP6T7zW1z/ikub3+9va2qqqqpqamjIzMxcWFv7yl79A8VWPx/PXv/51bGzsUKAvv//685//HMReR+DC7Gbl3PJuYYfmiHUAduzQHIrzd/VxcnISO+znzp37y1/+cnzsBX8Lgvidbi96P/sefqDXB3xdoCvi9p4rt03Zyx4t6FBnNClIwvGkWunlOMqLAh5ZNLGz54J/lcdmNnLbVHfSGA0kY+2g4XE2O0C8lfE1M7ltyuoB/crGvml8NbtFiS2aPMpiEwXj5b0gu1bWq3tZyLsST3mQBeogzWQzqkT/qZhA9XYUqUDtR1R02+/37+675aYFqtRumVx3nqiydktLC3bo/+u//uuf//zncbCXD0HEw3Mw+QfP/Eo8hSK2Q1Mm2EEWVyW+nki7HzAV2NoB1bedPXfzkOlxNgC+Oa0gzsCDb9Awt7zNVU3XDuozmxRpDfK0Bnlemyq8RBCKI/SyrPVEQ3qjvLRHN8i3DfJtw6PLT3Lf5LfgoeMqxVX9w5nNCizJ77WDkNqytLbpKOrSlPfqsNkUaPcO7QE+NSjY5YgfmDF7AloY2OUffe/x+j5sqvjomr/vwqdPn2KH/k9/+tOJYK+Dg4PVzf3mIVNSnTSpVprVrKBK7KkNMlRoLQQH8lvpjfJ76cxridSIUmHlq2F8iaCyb3hxbRf6pvO1s23UEa56uodpvZfBzGtXiXRzjSRjzYAe2zJ5LZFKk4Aph0bS4fLSZZP4YgHcMyRfwkmS2awQ6Wb5mpnlgB2t14tML2xTJfZuppUkHC/p1tBlk463HvboDoNvjhmBHxx7tbW1VX7iZbFYPowRnU6PiYlZX1/v7OzMzMxcXFxEsZfb7f7rX/8KnYiwGyrff4WFhQWx1xG46sfAXvv7+9hhZzKZp06d+lLshZ1F38l7KP7eSjU3k03WyXWJfv55oIH8fibrWT43pU5W1KnuZY920C2vOICNtLi6V9gBhOzvpTNLurXYskhWsyK+WnInjVHVP1w7qK98NQxri1fiKXFV4kG+ja2cquofPhVOvJPGSKiW5LQom4ZMoLsqipRYI51f2UVj4kOQfSeQVECXwFQByiYGxCOuDS1Xbe44i7u0t1LoUIqdLpuENxvYS+h0He6dRHd7nDfT09PYoc/Lyztm3svv9y+u7aW+bf4PwRHwJQLTxBpPPVPWqyOLJ1Y29ueWd5TmRdPEKspIAz6eTq9xfAUaBsCbIhTTiigVPslhp9bLCPzx1HrZ4xz26QjSg0xWRd/wuaih8l4dWTQRVSa8GEsu6dbWE4zo6JwKJ5KE4xV9unaaBcVkoYEbPBSs3913j0yuZbUo0VrV0zzuxOwmmiw5TqB+vHX0ej126K9du3Yi2AtB/GL93I1ARR6Ob3KttKpfX08w9rFHYXPuuaih8BLBkGgiYKGoB82qOMLZKBJAP4HMkw8B+i+7+26Rbq6Napbo58JLBLeS6VBiF+4WOFZVimeXd+A4ejy+fadHa11+ksMGV3e97HE2+0UBL7lOdi5q6FQ4sZ02cjuVEVAGES6u7hltqyCfGk+5lkjFFQvqCMYnORzd6Ap63f14I/5Nf9EPjr0yMzMjPvFSqVQfRvbatWv/8R//ERIS8pe//OX//b//h8fj/+///s9kMh0cHMzMzPz97393OBwfboVdEuR7HQG8YirEPwb2wo74wcHBl/Y5Htr8+/k4vbh9K4V+NiCoeDOZbp1akxnme5jWOoLhaS4npU7KkE0+zeM+zmGnN8qvJ1Jp0klY0YivkvzyflXrThqjog8IMN5OZWQ0KaLKha84Y+W9ui6mNbpClNmsEA7PxleL4V3hdASg+zzP5xYGGOWv5T11o6CvJeBx5KLLJhNrpZX9w/MruwiCwHC53V6ZYSGuSvyykE8QjEOrR+iJRBSMX8GIUESUCqcWgH+RdWq9oFOd1aJQmRfdbu+JhP34fK+DgwOfD5mc36roG76XAcwuDbaVFooJqu1fiCHntqq2dlxQX9TtAfdRtFq3vL6HLVaG4Ai4In5cgHt3JpJU2KlJfKtTDz0cCYLxlHpZbKW4lWIOLxXUDOhLe4EI7dM8wNwfEk1U9Q9L9PNt1JFBvi2lXvYgk1XYqXnFGYMUH1hKnlncrh0EpOysFqXFvu7FYN8TCd0ffScnyPeqJxqwJcWbyfSSbu356KGcFuUA1/aykB9dLiKLJjroIz0s6+00BgrB0xpkLRRzQafaOrXucHr46tkbyTSo5wLXgY0v+e2g8SW/XT0+u+nzIQiCzC7tQEv7ZrKpjTaS26Z6ls8t7gKTpLJPl92iZCmnsa02Fa+Gm4aMKIYDSm9tKiDLxxnD8sb+6GP6W57/D4693G633+9HEMT1wcvne/cY/WHEYd7L5XLl5eUlJSVNTk7m5OQkJiZ+uOahJUHsFcReh6bEH+Wjx+PLfr/nP70J9I3v7rtNE6sc1XQXw3IpjhyKB1z73DZVdotSogfUw9MRxGf53Kzmd3SlEBwhplKcXCuFHXPJdbJ7GcxzUSSa1I4mq05HEMXDcxdjyWhyJadVGVEKJKxwxQLozut0eTvoFlSX63YaY24ZFFkgLEMQv8Pl3XN4YA88lFPnqmZiq8TYO9m1RKrWujw2vYFy80+FE2WGhRPJ4nwR9oIzATYMuj0+s30NTTsBLk4Kna+ZdXt8UwvbPSxLB32Ep57Z3HbC3wWDGRroQEyulQ7wbVkBoj3gaWWylObF+CpJVJmQrZySmxbQXxoGUlwT3UxLXJUYNqWmNcjDAnroLRRTYq30fPRQfJWkrAeUfa8mUCX6eWwaw+tFtvdc2BLVH2Uy/wbn+auxV+CWBMriAd1/j9eL0KR29GkhFE8ILxFAga5LcRSScHxn37254+jljHJU01FvNd5CcISzkaSmIZNQN1vSo/0pha4wLsRUiELxhKJOTQRmtVA8IaVeNrO0DUGS3++fWdyGh7uRROugWSLeWheE4gjpjfLR6Y21rf3Hb4X1Id56lMWufPWelv3zfG55r25IOLF3olqDv8HAfSeH+MGxV0VFhcPhmJqaynz/lZWVZTAYjhgDNpvd3t7udrs3NzfLysoeP36ck5OztrZ2xCbwqyD2CmKvz06S73OFPYcbWpegT7fP8rg7e+6Zxe2aAf2DLBa+RNBGG4koFbwoAOpQWQEOCkUy8eYJmAvEn67EU4A4aiYL2MxFD0EGdwPR+KKQl9mkQNVB4SHS6uWQ1HI5jvK8gMuQTV6IId/LYA6JJmCr49TCNvbh+2wUqZNh8Xh9EKBoLEuzyzsoqcjv949Or8dXi7NblFi9jLgqiX1+6xCsjKsSO08i9fUrsBccfQTxy40LWC7OxVhyB31EaV7kqqZLe3RPcjl5bSqZcR72EKhHlp7kcF4GDDRjKsV305nZLcrX8ktXE6iVr4ZLurW5baqiTk0dATC90BEMwYEbeSfDAm1qLsSQr8RTcMX8Ad7YL8X8piETltSFK+KPTK7BxJsPOSzH9X1O2t/xrL4IeyF+P7TnOjg4cHt86pGltAbZT6mMvDaVaXx1dWM/pxVM2utJ1OhyYFFQ0KH+OZdzOZ7STDYB5pzX104bSW+QE/i2exnMCzFDV+Kpua3KDrrlaR6YFa1UcxfDUvFqOLpcVA3qlQa0xByCI2Q2K0Ym1yDx0eP1NQ4Z4SPQrRQ6TGCjE+ZuOlNpXnR7fE1kE/pQFIojNJHNWIdH6IleTzBW9esNtpUP1Yx/x3H5oxz6B8deLS0tDodjbm6u/IPXR/leXz9sQewVxF5fP4sGbtuvAAAgAElEQVR+lz34fMgg34b+yQ7FE3rZo0tre5WvhtGF56OHOuiWTgbIo6Q3ygs7NQ+z2HfSgKcQSTiuGVmqHtDXDhr4mtmCTvWVeMrTPG4fe3R106E0L0r0c1hVsxAcIaJUUD2gbyAZS3u0ZPFEO83cQjYD1X7nG9V+2+wGqgMJFSgaSMbtXVCFjCgF7OC4N3qqIIftD6jz38tgJtYAwvK9DObVeGp4qUConX3tSnTIPfpFAW9t642+w9dE+1djL7/f/5p5k1gDUoPw36NsdmmP9kEW63EOp7hbm1QrDcUTclqVi6uA+uZye0fsawSBDQ1IKI6QUicr6dbyNTPZLUrAuG+UdzEt8dXvdMICYmyc4i5tRImAKrF3Mawk4cTC6m5ZL3A6JwpshZ3qB1msK/GU5/ncOoJhagG0JW5sOwXaWY5qem55B617fk2Ufshtj4m9Aow9j2F8lSya0FiXdvfdY9Mb2AshoVoys7i9se0c5NmahozpjfLbqYzHOewuprWeaFRblvYcYPMh0UR5r46vmR3k2zIa5aXd2j7OGzYYUDoNaK2RxRM9rNHEGkAXS60HyebrSbSIUmH1gB5Xwu9lje45QFtiRZ8ONjPeTmWk1suwva43k+ni4Xkf4l/d2M9qVvyUSr+dyshqVqxu7I9ObSTXSm8m02+nARbBIM+WVCt9nMNWW5awudIfcqy/xY/6wbEXGjIEQex2O5vN5nK5drv9RMoN6M6xb4LYK4i9sPPhj/V+a9fVRAJOfI9z2HUEg21mY5Bng37YEB+E4YlpDTK61J7froL2MnB5KI5QTzQqTQvlvaBvUaKf19tWOKpp08SqIwCkEAQ0vhH442gBMSyc2Mmw3M9kZbcoCzrU5X2g7FU7aNjYdqBd69u7rvI+YGIDj3IjiaYfW9HbVrClusgy4XiABg6VSws61Oejh/AlgrQGeVmP1mhbDfTQIULdO/uaMDyhmWyu6NPBXsKvGaNfjb0ODg48XpD/SG+U30qmR1eIqvr1qCL82ShScTdoF7ibzhyxv0m3uz2H7QdupzJayCaWYiquUnwjiXYtEZjGkITjqEwANOq5nca4GEPuYVl3990eLyD8UMT2qHJhRd9wbpsqrUGeGfB0aiGbVzcdq5uOtAb5rRT69SRaXKV4fHbza+LzA297TOzlcHmJgvGneZyLseSHgX7Vft4YFu7cSKKJdHM+BNiig2sKR7gUR8lvB83FZb06gWaWKZt6Wci7lULv44zmtqmq+odfFvJqBvSHstThJYLcNtXTPG5pj+5BJiu2EqjplnRrS7q1BR3ql4W8awlUuXHB50O01uWLAROLc1FDWc2Kp3nvemCTa0GbC6yKrm06ZIYFuXFhbdMBFVvmV4BpWEm3NrFGei+DGYonZDUroPDbDzzQ3+in/UtgL4fD0d3dffr06auB19mzZ9va2j7Lmv91EQ9iryD2+nUz5/fdyudD9hxut8e35/BMzm/Z57a2dlxNZFNms+JFAQ9CHyidmlIny29Xt1LNUeXCMxHEhBoJQA8p9B6W9VE2+0IM0P+8k8YQD89tbDsOUYU2d5yvOGPP83m4Yn4nwxJVLroST0ltkKXWy6CgVA9rtLBTU9INMFOAFOyfXdppIBofZbMTaiQK0+Kewz3AG7sUR8YXC/LaVc/zudcSqTzNDEzP+BBkan6rekD/MIuV06qyTq2jRGCH08OQg176Z/ncBqIxuU52MZZMl01+ZV7na7CX3+/3+oBgkmVyXWddepbPhZgpDA/60dppI2kN8hcFPFSb1Ae9LDH2A4+y2b0sK0M+BdQlAgg1DE8QamdfZzjCSwRP8zi1gwbx8FxYOPFKPGWQZ4OuLx6PL7cNqOY+yGQ1k81ZzQp8Mb+OYJyY3XS5vRzVdH47KHjBklNxtxbbYfr7ztLv6ujHwV5+v3/EvoYFSc/yufVEI7bW/FpHTT2y5Pb4Vjb272eyQnGE/Hag2XYxlnwmknQrhV47aKgZ1MdWgkallHpZWoP8WiI1uVYKrRXRazOpFniwwlxpG20ktlLEVU4zZJPNZHNEKZCq72JY+jijUNNEqp+Pq5I8yeH0c8eU5sWsFuXdNEZxl3Z0CijdwzhDBAZr0OgSt8dnmVxPbwR55fK+YUje/67G5Y9yMv8S2MtsNt++fVuhUIAGDwRRqVR3794Vi8XfYpCC2CuIvb7FvPp2+4R664N82/MCXl67anZpB/YS7u67n+VzbyTRGodMaB7lchylg265HEepGdA3kYxc9UxCtQRfLCDwbW1U4EWD/osuF5X2aCte6RZX99CShMvttc1sMuVTr2ku52MAG+xZPrekWws95oS6OZQkfiqCaJ/bgr/a60N29twQNwB1iZFFqsSe36F+mMUq79ORhOOApYTRYv0UQ3x2eaeib7ioUwOtvk+FE0u6tV/J+voa7IUd09XNfagx+1MqnSadTGuQPwuoe5jtq1j8urrpQF2WodJEHcHwMIuV36HuZFiuJVJ/KeJnNMrPRpJyWpTFXdrbaYzYSjHEcGPTG3BXmzvOn1LfKKGH4QlJtVKCwLbnAO4x8yu7xV2ah1ms6gEgC3IhhnwnjfEH8vnBhvRbvz8O9kIQP0sxdTH2nVPq+eihFooZrQuH4gmFnZqJua1agr6sVxdXJbmXzkxvlMNNzkSSAnal5mf53LQGuUg310EbgUJup8KJTMXUqQgivOJOR4CPF2LIxd2gV/HnXGCszlZOJddJu5jW5DpQv/4plY6FSk63d+dtL63b4wNK98duZXV7fNtfsv63Hos/4v7/JbCXWq2OjY3d3t6GI7S3t1dQUEAikb7FgAWxVxB7fYt5dVL7RBD/IUvjPYeniWRC63oPs9hTC9t+PzDtricYT0UQY6vE1QP6yDJhSZeWJrXfTKY/y+dK9fPqkSX0Tz8oIAYwGaSeXE+kZTQp+rljybXSnBalZXJtZmnb6fKKh+ciSwVdDEstwRBfJanoGxYPz/WyRpNqpSl1sqRAXySK3tIb5YfceeGD+MLKbnS5CK4WiiNkNClWNoDdzWdDtLHtxMprfaO8lz8gKzq7vGOdWl/fApm/pbU988Tq0tqex/tOIvzQ2Xp9CEc5fT+DWUcwQCH7EBwhFE9oJJn2HB7ED0YN8fvnVnaoEnthhzq+StzFsJR0a1C3gJeFvKxmoMD5S9F7EvYPMlk0qV1uXLBMrZsmVifmNnf23YWd6nNRAPvCf68JfF4vsrC6G1UuuhBDvppAPR89lNYgjywTlvbojn9LPvSjfuyPx8FeH+a97mWw5KaFlfX9bqY1pU46wLNZp9bhzA/DE9qoI4m10sQaKWzUfZLDeW0BhF6bN5JoAs0sTz0jHp5rCRTNBdpZcIm1qjjK6dIebeOQsZZguJpAhTnLu+nMsl7dueiheqLxZjLtbNTQAM92yMQdXukLq7sj9rXl9X3vp6fojz2av/2v+8Gx19LS0tzcnEQiCQ8P53K5i4uLy8vLUqk0Li5OKpV+i3AHsVcQe32LefX1+4RGRlrrMl8zMzm/5X6rOW6f38LSpy7EkHvZox4v4nR7ScLx6HLRzWTas3xu05CJLBov6lQ/ymYXdWnYymlYt0Lv378U8Qvagd/zvQxmaY82tlJ8PYkWXipoIBmbyabEGglPPUMU2jroll+K+DEVokaSKSCZvcdTz8RViTvoI4dAA66IvxFQWIC/HUH8G9tOuWmhjzOa0QjKLvDQt1MZcuMCmlo7IlA+H6I0LYaXCq4mUG+nMUq7td+C7+VweqgS+y/F/NtpjNw2lXh4LrNZcS2RmlAjEenmDqFJ9GwRxL+8vic3LhR0qLECGU9yOWPTG7rRZZ56xjazQZPak+uk1f3DHXRLD8uKpq9CcISrCdSsZqBP20Ixo3frUByhrEenMC3IDPOFnZq76cynedwO+ojWupTeIH+ax7mTxkhrkK9uAhtyjmo6oUaSWi/LaVXmtQMNkWayaXrhzSMreqrBNzACx8FeBwcHDpeXwLc9yQF8L6jrNjy6DPNMMsM8XzPzijOGliAhz7KN+sb8NLtF+Qij9XAmklTeq9NYluzzWwbbClVilxnngaWjxN40ZHpewPsplZFSLyvq0kA+2fnooeQ66aMs9vN8bm6b6nQEqXnIdMh6y+n28tQzsZWiG0m05Dqp3LiAzbNCZPaVdfnghPloBH5w7BUTE/PgwYM7d+78/e9//8c//vH48eOnT5+ePn36b3/7m0Ag+GhEvnJhEHsFsddXTqFvtPn2rgtIZWaxriVSoytEcuMCfAKemNt8lMNGIdT56KFuptXl9m7tuhqIhrQGwC9Ja5Cn1MvSG+X9vDFQwCrkxVaK0boJ3BZXxBfpZl8WAktHHEZn9VE2u5VixhXziQJbK9WcVAce05/mcU9HgFSZeWL1FWeULJ6o6AOyq++Y+HhCN9PaSjXv7LlhQNY2HTmtyjtpjJvJtJgKUfWAHiKMWyl0sR5QlWGro9sDFCg+mgaDGanxWVD0lBrmd/aA+N9XRvtQzRGWRLGQKKVOBkXLArpl/LHpjQ8PiiAgodXNtHQxLYew16Nsdht15GEW62oCMJPpoI+UdINeSOjxB4unMP5XE6igDw4A3HG0/zS1Qd7HGZ1b2YEkbrhmGJ7QybCU9WibhkwiQMtzQia1dnS5sFMTVS6sHTSU9wG7J5lh/lNg8Svj9gNsfkzshSB+XSCw8DpKqpU2k00zi9v1BHAxPsxi57apricCm3n471GAj1/ZP/w0D5TjH2a9uzbPRJKSaqXx1ZLkOmkfZ+x6Eq2kW/tLEb+4+w3YgntIqZdBMZfz0UNJtdJH2eynedz8dvXVBKrMuIDNYiJ+v9m+hnZ4hOAI0RUi1ELb4/GNTK71sUepEjuk2/8Ao/b9/IQfHHvpdDrFJ17HsWD7FeMUxF5B7PUrps233sSHIGzl1KW4d7yT5DrZ8vr+wcHB7r67DqMG9CCLZZpYFWhnA5x3TdOQ6edczvUk2rmooX7OWEGHGjJRLsYAMSpUKDVwO7dmNSv7OKM9LCtWXutiLDmrWfEaz0VXiK7Eg2LW3XRm9YAeCE0V8WsG9I9z2PntakAfrpPWE43P87nP8kCarYViLu3R6seAaYnXh3TQR1DBoRAcIa9dhS8WhOAI8dUS28yGz4d4vb4R+xoQuSAYxqbBko9GFTLcj5Mn++jmhxYewl5AGGnIhNYBoax/QQdIB4bgCFfiKXTZJMplhrvy+oCf9Msi3uU44NYCao5v78SheEJpjxarcBZTISrv1Z2NJJ0KJ8ZXS7Bs69cITz2yJNTNshSgLS6zSZHTCoQnGPIpiX4O26wKglYlLunWxlWJZ5beOMwgiF9hWoTs+6d5nEtxlIux5NfdeSP2j/jeHgrCv+bHY2Ivt8fXzbTeSqHfSqFHlgvrCIakWmlZj66DbrmdyjgdQUypl4W/VTcFtj9V4qQAj56jmibwbWU976y6ridSq/r1UDYvrx3Yd/5SxO+gW2IrxShREk45At92J51xJ41R0qM9HzNUTzRktyj7uWNLa3tY6O/x+gh8G5aOdi2RKtDOwieZ4dHlxzmge+ZKAjW8RLAS+HPxrznW3+JX/+DY61uE7Oh9BrFXEHsdPUN+l2+dLm9JjxaFSiE4wo0kmmUSiBf4/f61TQdTPtVGNXcyLCP2tT7O2PnooTA84VQ48X4mq4thwZcIulnW3DZlecAmCCKJ4i6NbnQ5sUaKL+Z3MayJNZJQPOF6Ei23VYlqUMEDVfTpSnu08J4Bt40oEybXgd7GyDLh8wKQRTsTSQrFE24m03LbVA1Eo1A3m9mkeB4Qcd3Ydu7suV4Uvmu3hA6SbdSRoi7NIN9mCSiCWuzrl2LJYeHEU+HES3EUqIz/raN9CHv5fAhJOI7FuM8LeKjY6Z10pgxTHvX7/RtbTp56GuvVeC+DSZdOJtfJfs7lNA2Z6omGQ7fGVopZaphvIBpjK8X1RCCN9iCTVdytnVrY9nqRPaenh22lSScTaiSRpcIh4cSLAoDD0NwbjH9emyqjCdRttdZleDP2eH19nNHoclFWixKuA/+b2azAFqG+dTz/QPs/Jvby+RCGfPJ1qMPwhEH++IWYt1M0lkyR2MPwhGuJ1GaKqahTcy+dWdSpqScariVQu5nWy/GUy/GU0h4tUzFV2T+c3iAnCsdfN0XCcbmXDtoML8QMgUlCMGDZe88LeDktSrF+ni61pzXIBnhjciOo1E/NA/E2bIR9CMLXzNxMedN4AZWQtdZlqAiT1iDDzoQ22sihxwbsroLvvzQCQez1pRH7zPpB7BXEXp+ZIr/H1z4fQhZPXAiI+sC/p7GV4oXVvYODAwTxL67utVLMj3M4qfUypXkRi3LORg2VdGur+vXXk2g5rcr8dtXZKNKZSNKNJJrCtAh0I10etWXxUG4mr011MZZ8Kpx4PnoopV5GldpjK8VY5PdTCr0RtElOX4wl389gZjYrUMWjU+HEsh4tWgeB3XybO846ggF7J8hsVvayR+OrJHUEA1THSH3/VvHbgIZD2Ovg4GBtyxFbKT4XPXQ6gng1gdpCNj/J5ZwKJ16MJZd2a9ESKmwvLe3WptbLsBoEITjCwyzWAM+W166Or5bktqpQtxmYFCGLJlLqZQ+zWKU92l7W6CvOqH3uDXvPhyBbuy6DbfVeBlC9byAai7o04GaPJ7RQzFfiqacjSGejSLdTGSTRRFg4ETpdQuyFIH6ZcaG6X4+VFIE6FBvbnzGx/T1m9O9/zGNir4ODA9jkkdWsiK18Y2AKZ3JKvSwq0DUSWSpsGjJ10kdGp9YjSgUvC3kpAc/15DpZgMjFjakQsZXTvxTzz0cPgeeicGJGkzymAnSc/FLI52tmXxTwzkWBKXc5jlL5avh2GiO1Xt5CMee0qu5lMAd4tn2n56Mh29p15baqLsSAq/VSHKV2EFxNBwcHW7tOFOfBs33de+FwfXwnH91zcOHREQhir6Pj88XfBrFXEHt98aT5TTbY2HbmtqpuptAvgVoS9zXBFjI/dvbc1f1vuFMhONDxDu2x4R/c0xFvalu4YoF2dHl6cbuTYWkgGQ22VWhH7Q081l/BiE79lELvZlkbSEaQRGlWVvXrO+iWV9yxZ/nca29XS2+UEwXjPM1MTqsyoVpSPaBPqpXeSqFfjCVHl4vy29UoFAvBER5ls61T60trezEVouuJtCvxVHyJQGNZKu/Vvb4hbe+6YBvBIQTzSxH/U/ebE4z3h9gLQUAesY8zVt2vlxoWltf36LLJkm4tXTa5tQNOFR4d8fuHx1buZ7IeZLIOqdSW9eoKOtSPs9nhJQKWYqqoUwMiE0N+ksPpYVnjqsSQFQfkCTrUmpEl8fDc2MzG7r7bYFvJaVW+KOS2UkeyW5S1BENWixIWQF8U8kp7dCl10oo+nX5sJbZK9CSXQ5dNYnNau/tumsSOLUCH4ggl3dqdfdcJRuyH2dVxsBcscHu8vrUtoFP6c+47FVPI/4NqqESBbUg0sbS253J76bLJsl7da97VrWR6A9GIMiBPRxBpEnvNgD5gnS4VaGfAc0sma5Bns89vmeyrRZ2a2ApxUZcmqlx0KoL4spCHdsO8LOQtbwCCwYcv2MJCFttLe7To1QSFf8v7dOjTTiieQBHbD6XNPtxbcMnxIxDEXseP1bHWDGKvIPY61kT5zVdCEP/WrouvmSUIxs32N+ZuBwcH47ObD7NY6B/Z8BJBRpMCZVZdiae0UUdqBw2qkcV9ByCne7yI2+ND9bT8fv/47CaWsALk6QmG8l5df8Dh8UYSjSQcFw3PZbcoM5oUaQ2yxBoJTWq/ncpop4/givmRZYAEIzcu8DUz/dwxithe3K3BFtruZzDN9jUfgiyt7zMVU1SJfWph2+3xOt1eSEw5ODjw+ZAB3hja3xeGJ5B/k1vFh9gLDqzXh7jcQBYCnhs41ffLPQji11iW7qQxgJZmBxAxv5vOvJPGyGlTDY8t1wzq89pVFLFdqJuliCfo0smq/uE+9mgD0ZjZrMhuUUJsei+DWd2vv5FECy8RkATjKXVvikSnwomxlaB1tGnIhPLxr8RTGojGkm5tYaeGwLfpbStQogmFg36/f2ffPTazXtChvpfO/CmV8Vr7QG1ZPHTmv/nM/U4P+FnshQSceXSjy7rR5cW1vZX1vVbquxbUMDyhjz3KUkxRJPY+DngDmx4cLu/E3CZVai/ufkf1uxRHzmhSVPcPl/bqqgf0rRSzyrzYyx5VmBZWN/Y1lqVulpUhm8QV82H/L+Bf0i21g29SxT/nchbXQJL7Uy+fD/Q1o1cTXG18dhPKJj/KZlf167++KfhTR//XXB7EXic87kHsFcReJzylTnR3CAKEuxxODzTWPTg4OORXfSOJ1sWwFHVpHmSyIkqFbTRw/26nW3LbVHSpfWl9b9/pdjg9WK769p6LrZiCiavUehmUlb8cR3max2mhmGPKRU1DprvpzHNRQ9eTaFnNioq+4ZxWZWyF+GUhL7UeGD8n1EinF7cRBEhMZTUrCjqAkkUIjnAhZii+WjLIt23vgYyR3+8/wuN5a9fVyx59UcB7WcQf4AGx0BON3Md39ins9fG1MUuhA1J+uzoURzgbRXpRwKvu1+tGlyfmtlLqZFBhC0CrAf2zfG5spYinmXmYxboYQ4aBrR00hILqJLuLYWmnjZR0a3LbVKhUQQiOcD56qKp/mCKe6GZaYypE9zOYeW2qwk4AaqFTp250uaJP1zhknAlEHj01p8szYl8LUM2MUsP89m4w6YXG5r03n8Vey+u7Qu1sRhPw2WTJp2aWtvq5o3UEw9M8zosCXhPZ1M8dfS2PklAtyW1TZTYD7iPks3s8vrnlHa11GbL0QnGE8j4dNKqHrSo1A/o64L7ldLi8rzhjd9OZAaPVkSaS6Wke90UBr5ViTqmXFnaCqzgMT+hiWLEJzvd+xqc/+BBkddNhHF8dm9lwuLwoRv/0FsFvviACQez1BcE6zqpB7BXEXseZJ7/XOh4P8BBMDQhG6MdWwPOuy9tBt6CljfuZQNM8s0k+yBvLbALOIY0k0+00Rht1pLBT/byAV0800mV2hXHBEWCQQFWFp3mc2EoxgW+r7B/GdvmV9wL1VCwb7FYKPb0RWOWU9eigeieW+D9iX7uRRANVS6a1vFc7JJqIrRIn1khVI0uoO9CnQge1iNa3HBvbziNUTD+1+a9b/quxF8q0axoyPcpml3RrZ5d2gOWlwHY++p3qKa6Yn1InS6mTptS/c90OwQEfvef53JoBfT3R+DTgDSAankMlZ4HcVzy18tWwwgSKnjNLO7UEw4sC3ukIEkxw4ov5aQ0y2JdwJZ4yu7SD/nwAcH3I9p5rc8fp8X5crQNd+V/5zdHYy+P16UaXYfNHWDjxQgxZop/XWpYeZrEKOtQ5rapbKXSzfbWbZWmjjuBLBEm1UpZiiiSwrW85Brg2fIkgv11Nl02GhRMfZ7MzmxXYTsaIMmFJt3ZueWdibvN5AReOae2gofLVME8z00Ay5rWr2MrpzCZ59YB+gGfb+LW28fCBJ4i6vsU8D2KvE45qEHsFsdcJT6mT253f71eZF1HO+6lwonF8FfH7t3ddBL4tpkIEkluyyaRa6YNMlmh4Drr9JFRLynt1HQxLRpPieiLtVAQxIL0tYSunIZ2FKrHfSWPEV4kpEnsP21o9oP+liH8pjhKCI8RWigXaWazkxIWYoZQ6GfT3JQjGYZUQEv/9fv/i6m4z2ZTXpnqayxFoZ7GnqjIDav/JBeNk9vQ12AuegdeL7AQsrg8ODpxub1mvDv3VITjQ+FnUqaFI7HfT3zS4wRttbIVIPDzXNGRKqZOV9+qSaqTpDfJ6guF1++qlOMqlOEpEqSC7VXkqnMiST+07PcnvewYUdWpyAhbmWc3KWyn0qn79Z6EtbInFuvudTAT/sHs5Gnvt7Lmy3+8YTayRrG3uq8yLwDy+Xa0bXR6f2ehhj6KPPacjiELdLJZvl1ovo0knm8mm6gF9eZ8usUZ6JZ4C3IFS6ETheEaTnCGbepjFigrYD3TSLf2cMRSinY4gvu6b2dxxHRKy/8PG+0c78SD2OuERDWKvIPY64Sl1crtzurxx1e91WiXVSp1uL4L4bTMbBL4tr10Fhc67mdax6fV+3ph6ZKmfN1bYqbmXwXxZyGsgGqPKhbdTGRmN8vwO9Z7D7fMhY9MbHXRLXJX4RhItvlrSxxmlSiZqBvQRJQKCABCBYUMWBA33M1l1BINQO6seWcIV87HE/509Vyfd8iyP+ziH3c8dw4pXQR2vQ5LcJxeYX7+nr8de2GP7EISnmcH2GcRXSWIqRN1Ma37AMwDGEBQNWaNa61Ir1ZxYI7mZTI+uELVQzOLhuSHRRHmvrolsgmrpl2LJOa2qfadHYVx4XsC7FEe5nkiLqxJL9HOgIJXFepbPrSMaWylmh8uLPZND76Es7fTitsw4PzK55nAGK1AHR2OvXYc7OtCHCIcsBEd4XsDb2XMhiH9nzyXSzSbUgEcatKf4agL1fgazpFubUgcSnOeih3DF/OwWJYFvYymmUuvlcJQr+4ef5HAymhQ89UxEqbDy1TBBYEuukwXEw0QNRCPaIByCI1T06X5FqfHQ0Ac/fqMIBLHXCQc2iL2C2OuEp9TJ7W7f6YnAqDhCGWuHC9gFGmwrWMZ9ZpOCJBwf4Nl6wF1fhXLYz0UPlfcN44r5TUOm8l5dN9OqsSyZJ9bwJUDmFP57WcgDias8bnazcnZp2+3xCbWzUeWiawnUZ/m8mkF9E9nUxxmdX9nFEv+hCgaaA0iqlUJtbnS3EaXC36Bv8UuDfbLY6+DgYGfP3UoBshQ3kmixleKaQeCkOSSckBnnE6olt1Lo9zKYWc1K9ciiaHgW2+LwJIdDFk9kNCmuJlB/zuUUdKhLe7QZTYrMJgVbOb26sW+xrw3ybQz51PL6PqCL4d+MV6AvYQIrd/5hEDxenwwS3rEAACAASURBVMywEF8lvp5I+zmP08Ww7u7/FnS6D8/k+1lyNPbyIQhdOonO51A8oZ87Bq1UrVPrsFBY0KF+kss5G0WKKhelN8qT62QVr4ZLerRno0jZLcqcVtWTgCU2VpvtcQ67nmisJxqiK0R57SpgmRrAavAyuZvOzGkF8i7wY0GH+jt8XPl+RvD3PZMg9jrh+AexVxB7nfCUOrndIYifrZwOCyfCP81h4USadHJlY9/l9vawrFj1r59SGbWDhpoBfXEXyHihACgMT4ipEPWwrKU92rtpgOEbXiKofDV8Jf6NuyJUb09rkN9IpoUCMUmb14fs7rv72KN5barUetnLQiDg/iCTNbO040NAy6TD5XG5vbv77pcYE+irCVSScBx7qmzlNJbgf3JR+ao9nTj28vv9+06P2b6mMC1Mzm8FDLDX9hye9S2HQDsLVft5mpmiLk1l/zBqahmCI1yKJWe3vFO1fZ7PbaeNPMhkXYghw6ri1o7L7fGBEuee63HOe2IHKXWyI/Jefr9/fmU3sUaCToMbyTSJfv47HI6vGssv3Pho7AUdI3pZo8/yuU/zuG3UkY1tJ9RuIArGYUX+Xjqzqh9g66xmxZ00xrmA5UNBhzqrWVHSDeTsr8RTMpuAGSga+Uux5KJOzS9F/NBAO0U/bwztY4UNFoAwEGhbPhVO5KqmjxjWL/y5wdVPOAJB7HXCAQ1iryD2OuEpdUK7gzfd7V0nQzYVXiLAlwh6WKORZcLYSvHK+j5NNollZT3J4XQzrc/yuRlNipcYQflT4cSqV8M0qR1Vrr+aQE1vlP+UykBvD7dS6GkNcri3uCrxPmBsI/08YD93NvIN1zu8RLC8sQ/5yNC52WBbqXw1jO4kDE9gyCfZyunIMmF4qYApn9p3fI+6jieOveBo+/1+yKxC+VVIQABCqJst6gJyX3fSGDUDeiwsvp5ES2+U30wGzoCnwokpdTKsN/nNZDpPM7Oz73K5gTbHIZHPsl7dEXwvv9+vtS5dT3rnOXgmktRANLo8vhOam3/I3XwWe/n9fpfHt7C6O7+yi/YJgrKyeuanFHokIGlp22kjvezRexnvRF6e5HIG+baYSqCbejGWnN4ox1L9rifR0hrejPLpCFJZjw5rtg09PeOrJbEVYtHwHEc5dXQ6E0EA0HcGexh/jwkYxF7vRR1BkMHBwVOnTv3nf/5nfHz8zs7OysrK2bNn//3f//3/C7ymp6ff2+CDD0HsFcReH0yK33kBVK5vGjI9zGbntas0lqUeljW7RQmtby7FUUjCiZWN/bgq8akIYhgecE1qBw1lvbrsFuX1RFoD0XjurcXQnTTG1MLWIO89D7iUellKnQyaAp2JJKXUy7JblJDz20AyQqrv8vr+kxwg7x6GJ56PGaKI7R4vMjy6jPLKT0UQTeOrVxMop8KJt1MZ3UxrZsCTmy6zL63tfrcSU98Ie310xvgQhKuevpFEe5bPJQjGawcNGU1yGPbTEaT4Kkn+W+PI0xGkgg5gkYli2XNRpPx24COUXCc1TazSZJPnY4bC8NB/iay2LB1xk/b7/ZPzW1h/9CvxFJp08rsdlI9G78QXfhZ7feqImztOmWE+u0V5P5NV3qdrIZvRKmEIjnA5Dph+NhCNcOxgORId5egKUUaTAn51OoLUTDaVdoMaZSiecDqCGFEKxHjrica0BvnZKNL4zOYR7Sn7Dg9bOR1RKoirFqvMi0eA70/9kODyr4lAEHu9F72dnZ2nT59arda1tbW7d+8ODg5OTk4+fPhwbQ043x3nFcReQex1nHnym62D1ZGCf7If57ALO9VoCupsFPgL7nJ7VzcdnQxrYYeaq5pZXN0t7dGSxRPPC7hpDfIGkjGrWdFMNs0u7bjc3tfKBY8D+ltwh+ElAtXI4ivuWHigMb6OYKjq1+e1qSJKBUtvFR0RBFkG2pIjJd1aqWEePm1jy1ghOEJKvWxseqOOYOygW568VQAPxRPKe3VbAfH6rwza0fJgv27nvyX2Cji9uMp6tIN8G/Rrym5R5rerYyvFxV2aV9yx6gE91FG7mUyv6BuOKhPCAQrBEW6l0KE3OfB6iiAy5ZMtFHNspTi5TtpKHSnu0kDFEKh84QXdF++1lLrcviHRxL0MUGW+lgjcpTYDFbRfF7QfY6tfh738fv/s0g5K4boUS85sUjzOAWp28N8vRXyDbUWiB8osl+MpN5JpTUOmpiFTXKW4oF3dzx3DFfEvxJCvJlDjKsVK02I7baSOYIgoBYXLV5xRAt+GouSqfv2nuPYI4mfKp9Ca/utHIPXIEnbQoYH9EdDtxxjE3/FXBLHX4eC73e6ZmZmysrKbN28ajUYWi3XlypWBgYHBwcHx8fHDax8cUN5//eMf/6isrPxwtWMuSW+QH4Fd4qskFLFdpJtLqJYcsVpMhbiwU31wcHD03mIrxQM8m9K8ePTespuVc8u7hR2ao49YO2iYXtxOrpMdvdox91bYoTlmxH6X1ba3t7HD3t3dHRIS0tfX97uczNEHRRBQMMKWLS7FklPrZfffsrh+SqWrRpYgd8cbkPsCcux+IIIvNy6YJlYJgnG6bHJ0al1umieLJvS2lZml7ZYAHzyg88ntZFhWNvbFw/OxlaL7gepJKJ7w2lRuGrg7v1eW8ngRV6Ct8uDgYM/hxpfw0VtOCI4QWQbY9A6Xp587Bgkx8NsHmawR+9pX3gaAyPgmoExxVNNzyzu/OmdjNpuxQ5+YmHj27NmVlZWjR+GkvoVI+rXcPBq3u+nM4i5NCxlosJFFEwO8sYwmedWAnqWYqgmIfVyNp0J7x9hKcWazAhcg1cVXS1LrZbhi/vN83plIEl02CQd9z+HRWJfIogngfIApRUEWmsay3MWwsBTTmzvOf0GyF4/Hww79+fPn79y5c8yRRRC/KyAc7/UhNKkdW9+PKBVU9Q8/L+BeiiX/nMvp545t7Til+vmSbm1qgyypVprXrgI9yG2qxznsuEoxXTbZw7LSZZPrW46ltb1+7lhSDWhMeZzNDsUTosqFybVSKORW0KF2uT/evrrv9GAbNUJwhNR6GSTm+/3+3X233LRAldrHpjdc7mBP6zEH+ctWC2Kvw/Hy+/1zc3NtbW0///xzV+D14sWLgYGBmpqaR48ezc3NHdrg8vuvP//5z0HsdQT8+jGw1+TkJHbYz50795e//OU7xV5+v250GUsMuhxHaSQZy3p1P6XS8SUCqsSO5jwOzW3Ihfd4fVu7rnbayMNs9kXgBcl5xR2zTq53Ma3FXZo+9uj0wvbGtuOQmtHjbDZbOc1STEETQ58PgcQv9BAI4qdhGsHCwolc9Qx82iYKxrE6Cw+z2JbJ9a/EXisb+ymBVvzrSbS4SvH47CZ6Jl/0pqWlBTv0//Vf//XPf/7zt8FeCOJ3BpoS0huBGQD6L6pM2Mse7aCNtNNGIsuEzwt4Lwp5WS1KsniimWzKblGmNchfFvHPRpHupjPzAloVeW2qbqb1QSbQmOigW3b2gHj9nsONjvLzAi5NOnnozg1METy+Q84zXxS9P/TKr0si2KH/05/+dBzsBZya9twC7WztoIGlmFrfctBldmw5+H4mi6uaru7XZzUrU+tlKfUy8fDc5razh2VNb5QnVkuKujSFnRoIpy7HUYZEE07XG4sqt8d36EHleiIto0lxJR7U7l8/V38KIr9+yDnUR5zeKHcGgNr2rqu6HyRQL8dRcMV8kW7O40X+0AP3fZ58EHsdHheo5Ov1etls9n//939vbGwsLS15PJ79/f1nz561tLQc2mDy/dfZs2eD2OuHx15utxs77BqN5uzZs98n9vL7/Zs7zqJODaop8KKAN724vbblsE6tzy3vuj2f0S5HEL/SvIjmyaBSkcG2urblmF3a2dh2er1AHL+i7x1THvoE57QoryZQi7uAYjtFPJHaIOtmWlc3Hej9YHfPTRKO44r4WAgIizIvCngQW4TiCVWvhnf2gJXkoUvv+B+9XqSZbELBSgiOUNytPYLhdMSe19fXsUNfXV194cKF3wB7OV1epXmxoENd3a+XGRbe8eTCiQT++P1MVlmPDi02BURZ6Z10UI26m85E6UQ/5wFpqNMRxBH72vaea3x2c2pxG+a3PhxlfIlgfPYowtARUfohv5qdncUO/Z3A67O/dM/haR4yXU+inYkkBS4HjXVyPar8TTk4FEfIbFYM8IAvEDSSClhsSUan1usJhuoB/SBvLLlWio7gjSQaRzWDwl8f4ueoAAUQndt305gFHeq0BrlIN3eEwATi93NVM9iao35sBRblueppLDRMqJGgzIHP/tjgCsePQBB7vRcrnU53+/Ztnw8USuRy+f/+7/8SiUStVgtXwuPxdXV1723wwYcg3+sI4BVTIf4x8l6Hhn1lZeXy5cvfJ/aCcuTrW452uuVJDqe4Wzu/sosgX/Ag6/H4BNrZGmA0pIB6RZdiyWzl9KGy3dT89pm3bYxh4cQOugWKVtxKoWe3KGH/HbivVEtgsz2MIei0cnj2nUBjDI0qgiDzK7t57eqnedxe9ujGtvNrgBfs9sf6GoXgCHfSGNuBZA960F/35jfje4l0cxBvheEJFb06SBWIKheSRBMvCnkXY8i5barL8cBLAP47G0VKqJaQRRNoR2oYnlA7qK/sH7bPbR0aO6B94PH1skfPYeyMrsRTxMNzKFD+dfH5gbc6Dt/LH8g6Y5XzbqXQBdrZ+ZXdilfDj7LYTWTz/PJO9YAetXsKwRGuJ1LLerQhOEIojpBSJyOLJ3JaVZCgGf/+5XNwcPDagTuh+o38RyieUNipXlrfOwJ1oSPicnvFw3PRFaKkWqlxfBVOCZfb++HJjNiPS3dGdx5889kIBLHXeyFyOBy3bt1qbGxUKBQ4HK6jo6Ozs/P58+dyuXxgYODChQtLS0vvbfDBhyD2OhHsVdSpOc7tFiYpPxiE33rBd469YDigztaXJnsQv39hZRd6DkaVC3tYwKz6RQHvQwKW1+ubmt+u7BtOa5A3kkyRZUKYabsYQ06pk6GEs0MP7kcMlcfj23MAjswR6xzzqxPMex064m+DvZwuLxQdeJDJaiabE2okz/K4nXRLH3v0ThpQ9wDtpXUyVCQdkus76JYR++rs8k4T2ZxUK20gGXtY1jqC/qMZkWDe69DIfvbjcbAXgvh56hksu+tiLHmQZ/N4EY/Xt7vv9noR2L6KTTVFl4sSAmpqaY3y2kHgvR1RKnzFHWunjXTQR3qY1oWVXfRZBRIZu5nWlHoZQfD/s/cdTm0k2/p/1Na7de/73Vvv1qv7Xr3aC9hre9f2rtd5ba/ttb0i52RyMBmTMybZSIAIQkJICAlJIIFAZEQOAiSUwyR+Ho09DAKEAAHCDOVyjWZ6errP6en5+vQ535k+0kIFhhGTBTATPLr2Noa0ex06Eo5XgMRe9nKbmZlJT0+PiYlpamqyWq0mk6m+vj4qKiopKUkmk9mX3vObxF4uwV65DYN6k3VkZlM2tXHQv+HpjXW10RmItkdLLj5xIbDX8fpsNAHEBHM3ApsrWkebuTMHcTaaLMDEnCrk60Lcg0J9GtcZVyrEN00whxU7RAXDiPWUHYlc5e9lJ8azwV46o+VFEutGQHNShRi3Y3lSqFFFfT7pHAzjBmT3NLAm0cRBQS2/xXZ+zrG9qTFhm1NWAGpgTeAcbAd5Au3292Lv9fey6/sl/+kM9kIQZHpxi+hZ9ZnIXjaFJlElSs/OxaqybfRBVAdK4UZMP+BDq+4YuxOGUhYXUof1JqsVQAMksHpAmz/lXnMm8SlOHts1hvT3clJuRy1GYq+jSuyQ8iT2cgn2ym+ULazpYktF4Xn8g/5FF/X1Di0foo8zufwNY69FpY5I3ujlTUuvkTjwvoJgeHhmI/fjoG8G95ew1jep3RWto6nV/Z5f98LepLKnFtQ4Yv4aQLdWjQbQzZ1eAB1mHuBKF7vECyeJc7QbUGeDvSAIrmofexrHjCjgE9MPPIzuyG6Q3oto983gdghmNXqzXLFJ5yk6hXP1rIkG1sTEvBoAUPvKi6+cHdiO5L4RcAiC2OIclS08+zhHu16TP7e3D8nniIvIYkVzagXn9v4S1uqbwW0XzO5dt3wNLVxt489OzquHpzce23I7vkjalX7AP5MbnMO7EdCcVSdt4yvKW+WC4WWDCcDfJvyhJzmwawwZ53gSYTq4l8ReDoRznEsk9nIV9jqUsSL0fW+P1D7s9Dg6O/E93zD2WlMZiB7cV3xopS1yBxuXMIwMjK/5pHOCc3lpHyTh+fyA7J4W3kxWvRRNRFgmGp7aIN5usYKN7Kl7ke3X/JpuBtMjCwUqDZp65TT+MLJ4nCneJY84G+z1+Uu/uWXqEMym10iITl0vElmDk8qxWdXKhgEA0ZgJNExbqXuRyPopqOV6QPPjt4yB0TWzBfQlcH15UKh5jTKiFoiiQB2uIZRkhHiSPN4rAWfsXpi3JQjCSpVxbHYTV9Pe2lBmta+StwLQwChKgOyXscPQ5kGhRhTwfTO44fn8sLze2yH0H/ya7oS3fegYN5n3J5LY9ylOnsQb42R5sthRJUBir6NK7JDyJPYisdchQ+S8L8MwYjBZ7dzbD2oUAMI0zk5exdsh9JV1/UGFsfM6gzWVEFaJOdcDIKTVo/kEifciCDKztEX0UroZTG/hKVyydUJ80Okdnxx72Sg8zHaS2bfBEAyvqQx42nJPb2pp84idEQUAofefhnCPew8KNTyfbwUgIpHmD35NS0rdvo8gTzovASexF1YhAEJbOqe0jDfAaotxwQNar/rSmntm7ka0vy1Gk6XiKn6R1DV6YgYW/KHkwZlJgMReLhY1ib1I7OXiIeXS6jBahz930zo4eAK2D8WRLCaUiwqow87ESCIIotaaqZzpyEJ7Ugm7B2FRYHgIpAeFes2vqbhpxBkgYlfVef08CfaCIHh6ceurRVBoZxHct0cwjKyrjBVtozElwg7BnNZgsTNQGc0A0dnOg0J9EtupNVhMZoA/tJxUKc5rlC0pdUcKdN23JeRJJ7EXCMETc+q0DwMPozviypzSMi5bnFgk9+PQ9MJWLWM8u176/tMQ7j1pC4ps6xtewR2/8HvJAzeXAIm9XKygfbGX8+F4jpnoLw+vvTMs+eSe41HH7kF0pofWg7J6WsCDdqn2vX0vmereYgiCrGwYIgsF+CL+XmT7xfqQHBt7IQiiVBnjSr/k5kMZ0d51zyxp7LDUXqFtb2+DEGyygDjJE7EMBMEtPTM4l5snhfr+0xCWUhOjZj2SEok1k8d2EnAGeyEIsryujyDkIXBey9jjMEJ8jIQPACGTBRyaWsczbnlQqCG5vfOrWmeGjV37yZ/nKwESe7lY/gdhL7li00bzPd8p3P8fX7ZyaBYgEnsRjWok9jrq2N03jc9BpPZHrfx45QEQ7h9diywU3I1oe53KbmRPGUzA8ao6l7uOjb1gGOkfXcVjDz0o1NshdDpPYRcBeoxOafSWItrw8wTWo7cozebcsuYYlZC3HCoBZ7AXDCO8wSWiZffkWjZZwHbBLBbLEpzbK5CtXCA78aFSvTwFSOzlYl3vi722t7c/safC8vghub0H/UuvQRlcSbsXhq5Iu5eLx6Wtus8M5nvTV9vljTmN5zqoE0EQAIRXNgyDk+szS5oLF1R1fOyFIENT60/iOnGb353wtr2MtQ5Ed9AlLHR0Yl49MrOh0pj3NY8ddC953nkJOIW9EDQnBE5uh24RnljLCIISssytaCXjykWlDouxcL7ZZEk3kQCJvVysiIOwVwNrMiiHRzTb2B07k/2atHsRhUbavQ4au5g3vclsH3yOIMjghBL33r3iSxufO2mexIPacKTz2Kb8Rdw3OTb2QtP8Ga1ZdVJ8fzA4h7exZTqeEBAEMZkBg8mK+f3g8jxebUfS3aUt7Az2wnLSJ1fucKzgWgYASKM3H3sLGFfxpZX/Re84ib1crEESexHh0d5jJ3MKkXavY49LncFC5ykoad0B2T3ofoQtPy5eGwBC0gllYrk4ubJ/5GsiEfwqeXBUCRwbe2HsA1tac2P3VHAur4wuX1cZj+cxbbGCPVI0OQwlrfuz6rHE2EftCFn+qBJwBnvhGb3qmROB2T2YlgEAmpxXJ1eKH8Uwsuuls8v7pHg6amPI8hdOAiT2crHKSOy1F28Rz5DYy8UDbnd1MIzQeQos66IHhXrFhyaWr9p90WEEsVjBC7e7t7uj7vLrJNgL68OXoATwmKmTYBghptb28qbSeQo7jbuLsL6tdjiJvbBOY7zzIIgSp82taHGiEA8KNapQsLppIC2U39boOLw3JPY6XEZHKkFiLyLS2ntMYq8jDaejFjaYrEQqVA8KNb5MZN5t+jpqnWR5BxI4OfZyULkzl0wWILyAjzuNofGSaRyj+SLFKzjTTTcscyTshbcfhODWXsVtQtbze5Ht/KFlEi7jIrokByT2crGiSey1F28Rz5DYy8UDbnd1JjMQkN1D/BKnVg9YdjOa7r6D/HUiCZw79rJYwVgCUYUHhRqY3WNHuHqiHpI3HyCB42EvCIIZwjli5uyH0R3CEXvj9AHPJE9/OxIgsZeLdUliLyLS2nvsQuwVnsfnDS45Y6s/7VAv98kphCBIj3QJ96a/6jbe9C5+zdymunPHXgiCjCo2r/jSMMB9xYfWI3XqpXAbEV7UhhwPeyEIsqYyBn5dIHlSqAnlYrXW7Mw8dlElRbZ7PwmQ2Gs/qZzgHIm99uIt4hkXYq/IAoFwZPUTeyq2VBRbIjzoX3qNxMl5zXkKXLsB4j7Ya3t722IFBbKViAJ+bKlwal59gfLz2En1Qvw8d+y1vb0NQfCoYjO2VBhRwBfIVs6XNORCaM0ljTwe9kLzNsLI2qahgDr8JpVd1T62uWUiNxxdopGLVQmJvVysLxJ7EZHW3mOXY6+qtrG9TyGeSaoQQzC8qNTNr2od/FtY02n09hlanBwcboW9sMndbCG96Z3U3omKuQP2woLpLFbQbAHJr/iJ1HmUm4+NvbCHgCBsMFlPTqV7lCaTZd1IAiT2crEySOxFxD17j88ee2HEaUmV/REFAgf/YoqFWGqBYwwId8Nex+gCecvxJOAm2Ot4jSfvOokEToi9TvJo8t5vQAIk9nKxEknstRdvEc+cF/ZynDAgMJt3EqZWEnu5+C26ONWR2Ovi6MrFLSWxl4sFesmqI7GXixX+97///fvvv39J+Pvzzz9ZLFZpo/BJeO3jsJqD/oVl0Le3t32Smg4q8Dis5llkXV2bpJM/+Ty6wUGxx2E1ztT2JLy2nCbqGVA4rs0vmTa3rIrI7nD8xKRi1szC5uu4RsfFXFjbq9iPHPF0Xp3gSfiBUnVSFI/Dap5H1TF6x6uqql69ekXQ3suEhIRDh8jKysr/+3//74cffiDeSB5fdAlUVFQcqvri4uK//vWvT548ueidJduPSyAwMHBgYOBQ1f/4449/+9vf8LvIg29AAjExMWaz+VDVu6QAib1cIsadSq5du3b16tWH7vH33Xff/c///I97tGVXK/7yl7/87W9/23XKPX7893//93fffUdsS2Rk5I52DzhSKpVXr169ceMG8cYzOP773/9u19ozeCj+iL///e9/+ctf8J9nfPC3v/3ttJ9eWFh4gMJ3TtfV1f373/++e/euS7r//ffff/fdd3fu3HFJbSevZO/rcPI6T1LDGSj94cOHr1+/FolEOzo+4Oj58+f/93//d9TuXL9+/bvvvrt+/fpRbzxh+XOZcj09Pb/77rvbt2+fsPFHuv0kgyQ0NJTEXgeMd/L0USRw0AboUeo4lbIPHz58+fLlqVR9skqTk5Nv3bp1sjrO7m5/f/9zbK2/v//Dhw/Prre7n/RN7vi42w6mu70O34DSRSLRrVu3nMF2u8f7SX+dy5RLp9Nv3bo1Ozt70tYf5f6LMkhIu9dRtHrRypLY66gac7ePjeP2k9jLsXwu3FUSezlW2UX5rDroBYm9HAjHJZcuyiAhsZdL1O2mlZDY66iKIbGX8xIj7V7Oy8rJkiT2ciyoi/JZddALEns5EI5LLl2UQUJiL5eo200rIbHXURVDYi/nJUZiL+dl5WRJEns5FtRF+aw66AWJvRwIxyWXLsogIbGXS9TtppWQ2OuoiiGxl/MSI7GX87JysiSJvRwL6qJ8Vh30gsReDoTjkksXZZCQ2Msl6iYrISVASoCUACkBUgKkBEgJOCUBEns5JSayECkBUgKkBEgJkBIgJUBKwCUSILGXS8RIVkJKgJQAKQFSAqQESAmQEnBKAiT2ckpMZCFSAqQESAmQEiAlQEqAlIBLJEBiL5eIkayElAApAVICpARICZASICXglARI7OWUmJwvFBgYWF9f73x5suQ3IAG1Wh0YGMhkMr+BvpBdOJIEmExmYGCgWq0+0l1k4W9AAgkJCc4kHPsGekp24TQkQGIvF0vVbWkdXNxPsjqCBNbX12/dukViboJILsuhu7FCXBa5u0E/LwqXgRuIimzCPhIgsdc+QjnJKRJ7nUR6F/ReEntdUMWdvNkk9jq5DC9oDST2uqCKc5Nmk9jLxYogsZeLBXoRqiOx10XQ0qm0kcRepyLWi1Apib0ugpbct40k9nKxbkjs5WKBXoTqSOx1EbR0Km0ksdepiPUiVEpir4ugJfdtI4m9XKyby4C9EAQBQVipMs6vavVGKwwjCIK4WI4XqjoSe10odbmysRcLe6FvLgRvbBnnVjRavQW69G/uSYbCRcdeCIIYzcCSUre6obcA0CWfw08yEo53L4m9jie3A++6DNjLaAboPIVPOue32M6seqliSQPDJPYife0PfCm+4QsXC3uZLWCXeN4/i/swuiOlqn9UsQlC8DesnVPt2kXHXutqY0nzyPNE1usUdl3nhN5oPVVxkZXbSYDEXnYCOenPbx57wTDCly3fCGz2oFA9KFRPb2pWvfSSv7ek3eukr82Fvf8CYS8Ybc6AdwAAIABJREFURqQTygfRHdib60GhxpWJ1tVG0uBxvNF3obEXBMEfGGOe3ugc7kGhenlT2wWzEEwC8eONhePcRWKv40jNwT3fPPayWMH0GomXNw2fwX+L7VxY0zmQyTd/icRe37yKD+rgBcJeVgAqo8uv+X9ZNXlQqA+iOmRTGyT2Oki5js9faOylM1peJnXhc7gHhRqY3WM0A467TF51oQRI7OVCYaJVffPYC4Tg8lb5FZ8d7OWTzlGqjS6W44WqjsReF0pdrmzsBcJeIARTOVM/BbXgX9yXyV1TC1sk9jregLjQ2MtiBcPye/GR4EGhplT1WwHoeKIg7zqGBEjsdQyhObrl7LEXgiAwjBhM1pUNvcF0BM93BEEAENrUmNRaM2hzu3XUMcK11Q3Dw+iOKz40L2/ajcBmOk8BgpfaWE1iL8LouFyHbou9sGlBb7QurGrVWjMWELOxZaKkdV/xpXl5U68HNFe1jZkt4OVSmOt6627YC414QhCLFVxXG7d0ZgeBFNjYkM9sZNZJXyZ1XfNvuhVCn1/Vuk42ZE2HS4DEXofL6Egljo29YBgNHjyG0zoAQoMTyrhS4d3I9sQK0ficynpw0AqCIBAEQ7aZWKO31DEnXqWwKWndTdxpo8lZgzMMw6sbhvLW0fQaCV+2bDQDl3zpTGKvI70j31Jht8VeIASPz26+qx549JYRkNXTO7RstgAwjKyrjdUd46lV/SzxgkZnhiB0zgFtMwKmly8T0eWOXHZmiLoh9lpZ1xc3j/yewPTN5DL65kwH7CHaQi4W/LO4T+I60z4MNLAmZpc10O6oCwiGrQA6LJwRBVnmGBIgsdcxhObolmNgLyzWd3BS2cSdHpxUHgnKIAgyu6zxy+R6UKi3Q+hRhYLMWmmncE6pMu59bSAIXlLqWOJ5jmRxY8vI6JvzIvhassQLe29x0FUAhC1W8Ei3OKjtQl8isdeFVt9JGu+e2AtBEKXKGF8m8rR5UntQqM/imcPTG9jbCkKw3midXdYwRfNc6dLimq6rf16u2DRZAIPJOjC+1tIzI1dsmi3gJV9TOR4Y7oa9LFawuHlkx33eh8YfWt47P8MwIhpZ/THwy9azpzc19+OQ3rQT5AjDsFZv4Q0uN3Gnx2ZV5DBwPAyOfZXEXscW3f43HgN7Gc1APXPieQLzx8CW5wnMeuaE8z6PIAQzhHM/h7Z6elPL6HK/TO6d8LZfw9vC8/lKlcGuidOLW8E5vDvhbfci2yMLBNTuKXxq9qBQg3N5B62T7Oohf9pJgMRedgK5PD/dE3vBCCIZX3sQtRPS+GNgywfGuMX6ZYdxVLEZmN3zS1jrvcj20Pe9pS0jr1PYdJ6iqm30WTzzp6CWVyldbfxZvPzlUajzPXU37LWuNv6ewCS6cCVVis1fNY73y2IFM2p3BUs9jetcVO4ES6m15pyGwYfRHTeD6W9Su7sHFgCQ9APD5eeyAxJ7uUyUWEVHxV4wjAxOKp8T3pnnCazByfW965V9GwrDCG9o6X5Ux5tUdlqNhPji5VNlRDcsAITSagaIBdJrJH8k74S6JFWKSV/LfYV86EkSex0qom+1gHtiLwRBRhWbvyew8Pf9dgi9iTuDfUQBAEquFOOXMD/rF4msP991RxX2/eDXhF3yTudML5Ke+AeOXHfDXls6s69tAwTXbF6jbC9ssljBItowMVjqTSp7eV2P9RNdzPehi3m8kqAc3tLXqwfKgrxwdAmQ2OvoMnN4x1GxFwjCTdxp3ALsQaH+GNjS3DPjPOehRm+JKRGmVPX/FtuJvzAeFOqT2E4dgS5PozMTqX08KNTf45kJ5SLslqu+tLlljcOekRcPlACJvQ4Uzbd+wT2x1/b2ttEMFNGG8R0o7zSOUvUlGHlLZ74f1U6cK14mdUUV9t0OoSeWi/G56HYInTe45OQi8FvX8z79czfsBcEI6kbyNQL9B7+mJYI1C++AyQwMTipvBdOxAeDlQyujy9e/BqobTEBOw+BV3y/424NCvRPWKp1Yx28nD1wlARJ7uUqSX+o5KvY6od1re3sbhhGVxsSVLmbXDxLn00PtXiXNI6OKzfQaSXbD4NTClp2vpYvl4urqYBjBIgZcXfFx6iOx13Gk9k3c47bYC4aRLa2ZzlNEF/UVUIdXNvT4C35UuxcWFuc+r5ubDBx3w14IgpjMAH9oOalSnNcoW1Lq4P24UiEI7hLPf+yajCoU+GVy338aqmNOaHQWTMtWACLtXmczwEjs5WI5HxV7YStUm78Xy+bvxTqSvxfeehCCVzcN4fn8uxHtTvp7YZTWFivkIC4Sr999DhAE0RutA2NrHMni/KoWBNGkdOfbPBJ7na/8z/Hpbou9MJmAIKwzWC2APZHEQf5elTv+XmzM3wtBEI3eIpKv8gaXltf1ztvjz1EpZ/Nod8NeWK9hGDFbwb1bjUSZqLXmlKr+2BJhbCn6TyRfBUEY1/KoYjO7HvX3ukX6exGl5upjEnu5WKLHwF5f4xzXm3tmBifXjxTnSGw9DKPBTd0Di+z+BQdxjl3iBa50cWPLdEF3EzQ6S1ad9LdYxp2wtuBc3sjX6C2iKM74mMReZyxw93mcm2OvgwQFgvD8qpYpmu+xxTmyBxYIcY7KFt5OnKNKY0qu7H/0lnE3oi0inz8xpz6ozst23j2xlzNaQBBEq7fwZcuMvrnpxS0rABG1HJ7Pl4wreYPLzT0zZJyjM/I8XhkSex1PbgfedQzshdWFMW+d0ISD2Y1hGCVN1RksRF97/CkwjHKx4g+CYNhgsrqVl/1Bjd/e3oYg1D0OdwdGc9KVigyEAOkDFXOaF0jsdZrSdeu63Rx7YXQSwH585eiEY5sK4K+cfyYzYLagrDHQV6ZlEIKrO8aIngzJlf371uZYSTCMmCxo5fi047j8hbjq/tjLYgWNJpSka1954m4b+2rZYgVRvkkE5X7TG62Ole5gxt730eTJ7e1tEnu5eBgcG3u5qh0wjGyojfnUod9iO/OpQ0qV4SD7FoKgbPgdfbNv3nXHlgr30uu5qknO12Mz3RmyG6RP45glLSMbanuWMpMZiCsT4R7EHhTqvcj2z5utzj/iNEqS2Os0pHoh6nRb7IUgiFprrmOOv0zqSqoUL6/r9/X+wYRssYK8waWA7J7wfP7w9AbuGWYwWTHuQBx+PYhq1+gtR1INAEDCkZWgHF7I+17JuBKv/EiVuGFhd8ZeEAQrljTRxX3e6ZyOvlmDyeoA9R6kZbshtLi2jwMZDCOrGzsztkpjcvAgN1TiOTaJxF4uFv75Yi8YRtZUhthSIT5X2oi+jPu+DwAIf2JP4fSqN4Ppk/PqfUu6WEYHVIcRQobn87HGe6I2LeHm1q6XmbR7HSA88vT5SMANsReCoB4/C2u67PpBfJXyOoW9uKbb9+2GEaRLvIDHx13xoQ1NrmMl97WIODaB2KkBQRD+0DLOaPA5EZlkXLlvM+xudP+f5469MM/X6cWt2RWNybxjU0QQZGxWddX3S8pdL2/qJ/YUcHDat4O0bDABuQ07Q+hpHHNuRUvUHYIgKxt6/yyU2duDQvWkUN9VD2zpzMQy7q/H82ohib1cLPkzwF6wLQ/jvstHpcpQz5y4H7kTQH43or17YHFfs7NKa3rzjo2jtCs+tAKq7Bw3HyEY7h5YuBvRhjfpQVRH3/CKnd1OrTUnV4ofRHf8HNrqk8EZnFDaFXCxRp2ojrR7OSGkb7OIG2IvncFSwxjPp8qIpDO3guk07vS+nvJGM2Bn3IopEZrMAABCCIJsbJmii/ruR7b/EtYamN0zqtg8kiJNFiAwpwd/oz0o1ND3vXsJP49Up5sUPnfstbllKqDKnsZ1vkhildPlWj0aqwiCsMkMZNVJiTJ/865brTU7kNu+WlYsa57G7fAW/RjYUsecIGI4EII7BLO/hO2QgT2OYUgnlPB5Bz856Kn7XCKxl4t1carYC0uVOjy9Uds53iaYVWnQFLl4B0AIru0cjykR3o3YwV6/hrex+xf2BWqfs2i/StnBXl4+tLxPQ+eJvSCY3b/wa/gO9rof1S6Q2WMvO0dR7AuBC+FcDkjsdS5id4eHuhv2gmC4XTB7za8pvkz0OIaBf4BvBtOp3dN7HUCxOGufDA5e8ufQ1rIWeWP31Cf25MziFgBAaq25Z3CJKZrHwoqPJHajGcDtItgjgnJ430YC7/PFXpBttsftmp7eVJZofnZFgymuom30DmEifZ3CVmlMDhQHw+gOtZ2WZ5a2nhA4I28ENNcwxokRlCAEt/EVRCLWR28ZkvHzXww76Kn7XCKxl4t1carYC4RgrmTxWTyafejn0NbgXN7G1s4bpTVYXiSyQt73Bufy8Jk09H3vyoZhXyMwAEJ1zImdPcegllHF5r4lXSyjA6rDLNih73vxxr8t7lOq998wxRIAn2NriZ0gsRdRGpfq2N2w1+co6bB8vieF+ue77rjSHc/IV8lddhtGuJpgAienpze1tEX+KqXrVjD9ZlDLy6SuMYUK88rHHfDxG505gGGEI1kkbmgKR1a/DbvI+WIvvdH6MmknK4mnN7WNr/gjuetmMP1WMP1FEquBNYkhMy9vqs1edUheoL1a1hutWXVSHN49ie20y3OAIMjims4348ueoweFmlzZT7p8OfNekL72TkrpCMVOFXttakxBBFx11bepjjmB7yN8zmwdmtd7O4Se1yhLrux//JaRUStZWNPuu+G4vb2NMfc0c2dep7CjivrGFCrwvPN2QTC8uKZLq5E8ie3Mb5QtKx05CB9BK6dclMRepyxg963e3bAXAEI5H1GO5R8Dm9NqJLkfB39PYMaVihRLmn2N35hkjSaAKZr3zeCm10jSPuzKPBZXJjqhLdxsATmSRf+snqAcHn9o+UjuYu6r+O3t88VeVgB6W9KHL1MDs3viCG6+WJ6ovMahP991N3NnNLbtyKMKE3PArWwbfZ7IiisVTS9s4d8avCoIgudWtPiMvbpxYGgXfgt5gEmAtHu5eCScKvaaXdYQk4F4elOTK8VEA75wZPXX8LZr/k1BObzq9lE8UwTWSYxIbEmpW93QWwDUmQNlbbBxTDiTNBcjsNAbrfOr2nW1EfwaiO4SCWKVG0zWhTXtyoZerTUTjdsuecTpVUJir9OTrZvX7G7Ya3t7e3ld/yC647p/861gelKFWDiysrppwN5WzB9oddMwOa9Wa81EUxYMI0YzoNaZg3J2rOZYajKt4WiBjXtVhnJMmAETyTGxVzRHOUOcgZUq46hi815k+w9+Tdf8mwppwy8SWU9iO5MqxAnl4sdvGX8kdW1pzYaDOSacfDLGMWEF0OneaAIWlbrVTYMdHbeNY8K67462k0+5hMVI7OVipZ8q9tLoLXgGRg8K9bp/M6NvjmjWslpB2dRGUdNwDWN8bdNgF1W+rjaWNI88T2S9TmHXdU7oDBbANiU7KQIYRhRLmqx66aO3DN9MDkMwZzIDTt57aDEEQRZWte8/Dj2J6/RJ59B5CqPrKj/06ScsQGKvEwrw4t7uhtgLhuElpf4DY7ykeSSuVPQgusM/i8uVLNrYnqyMvjmfdM6D6I7EcvHw1LqdqRuC4MbuKXybyZNCzW+Ukd/Ufcfn2du98Bn4t1h0kmzpmRmeXi9pHqlsG11U6j6xJzPrpL8nMJ8nsnIaBqndU3vNVPt2BEtMh34LCN7De0uurOsLqLJn8cw379ifuiYNhGTBewuTZw6VAIm9DhXR0QqcKvaCYFg2tR5ZKLgb0f57ArOQNqzdw7UDI4gVgPZOlxAEf2CM4bOqlze1iTvNkSzKFZsW6058soPeotv/9Tvb/7+EtYrkq45fVwe12V0yW8ACqgxv3o3AZr5s2VWV2z3L5T9J7OVykV6UCt0SeyGbGlPfyEoMYU/qWTxTNrUulq/ej+rAN6piioWrm/bOoFtasy1vROfD6I6EcvHCqvai6OKM23n22MtuBr4R2Nw7tGyxZRCCILieOYHPn7bpfcbBLjMuK4yoQjC8Us+aGBhbM5qAfZ1oIQguo8uJ9bPE88RlP14heeCkBEjs5aSgnC12qtgL2zJYXteL5KsjMxuHZh/C4iLNVjTloc5oIfpmelColLTuxArxy6Qu/tCyM2/p/KqWGLV+1bcpr1Fm2Y8y21lhEcqtq41P45n4V8HLm5ZeI3FmJ5RQx7kdktjr3ER/3g92Q+y1rjKG5/Oz6qX3CFwzPwa2VLWPFtGGr/k34W/Z/cj2gbE1O893BJ0rrEOT6wPja2ubhn3TY5y31N3i+WePvexm4C+TpG0G1hutxKB1D1uwBb51AEJo8pK9C/Lt7W290VrcNPzoLeNGQPPTuM565sS+uxk6g+X3BBY+cjwo1MhCgclinyfULRRzQRpBYi8XK+pUsRfWVmzXf9/VCbEzEASPTG8kVYoTykXSCeVnauOw/J0QQuzl8c9CqXfC8vmOI5CxapUqo0/6Tiz6df/mWoKnP/HRxzjW6C3EWPQrPrTy1lEil8wx6jyzW0jsdWaidrcHuRv2AkHUPnHVl/Y5Rpj4sfw5tLWFN1PPmvgpqAX/gj5PZI3NomGMdlK1zTCwSmNq7J4KyuEVNQ3bHBjsi9ndddl+nj32spuBsUkS21i0WMGoIgGuWQ8KNbZUiHllqTSmeuZEQHZPGV1ul8YXhhHB8MqjtztcJC+TukZmNvYOCbMVJIbPe1CoWfWD30zYxLkMXRJ77RI7DMPNzc0//PDDv/71r5CQEK1Wu7S09PLly3/+85+PHz+enZ3dVXq/H2eAvbAQRRhGl6ebGtO62qjSmgAQzbq1pjKYzIAtWyMyPqe68pXa+IoPbXBCOarYzKyTvkzquubfdDOohd6rwGzI9yLbZ5c1+/Vm1zkQhOk8xY3AZi9v6hVf2vMEllJl3FXC6R+oAQ+C1Vrz5pYJmyBgGCXX/jGwxcubdsWH9jC6Aw2ZQVAX3TUVuvgm5qB0+jlnVJDEXmckaPd7jLthL4PJGpTLexTdwRlYKKQNX/f/8rYG5/JUGvPapuHPd92fyeW9vFFv0XK6HDNyIDZHhc0tk1prxrzydbv5BShp3UoVyvaCMRFs6czraqPFipbV7Z523E9Fp9Wi08BeKOo9eNIjzMA7kyTevTGF6mZQi5cPeulmMF2xpNHoLQtr2qRKsaeNd96DQo0u6lNrd3jnARBqYE38EtYa+r439+Ogf1bP3Yg2dDMR2pUCElP64OR6eq3keQLzml/T7RD64prOCkDEMYO3hDxwRgIk9tolpeXl5WvXrg0PD2s0moCAgLS0NH9//+zsbK1WW1pa+uLFCzvv9V03236cDfYyW0CuZPFDx1ghbfiPpK43qex65sSHjrHHMYzMWsnUgtpkBiILdy2DQvN6i5uGn8R1pn0YqO0c/9Ax/uCr50dMiXBL54j1GOsmFibJly2nfRiobBuzZYrc9YrulQbxjO0FhrHQKqMJaOJOU9K6/0juqu4YwyhhjCZAMLySWSctbx1d3TAAIDS1oM6slTyOYQTnotHpZgtIjMwiVn6+xyT2Ol/5n+PT3Q17gRAskC3TONN+mdykCnFO/eDb4r7qjnHM4AFB8OqGoZw+mlQhZvTNab6mf1FpTJ9fwz+Suyhp3U3cab3RKptaJ3Ka3w6ht/AUIIRypncK594W9wXn8lp7Z7jSxeRKsV8Wt4Aqm1pQ232zz1EvZ/Do08BeMIwQJz3MnQvvCz4Dp9dIsEkS+x5hGa+tADSq2Mz7NFRAlcmmN1iiuYgCfnJl/8PoLx5+Xt7UVylskXwV99OCYWR4euMDYzzkfe/9qPaoIkENY3xmaYto90JsWLBPtuKbyX0Wz8yskzawJhZWdRtbRuKYMZpcFneF9/fbPiCx1y79Li8vMxgMW9wHnJaWFhYW9q9//WtycnJ7e1upVP7zn/9UqVS7btjepu/++/7773NycuzKuPYnDCOScSUlrbuMLseZUb28qR8Y4/ej2j0p1MQK8eqG3jdzh/IO2/6PKxWhWbe8qTkNg1hE4S9hrQHZPZKxIyS4hWE0W9y+rgMOumlLkm3sHlhg9y+sbOh5g0t4yz29qQ2sSY3O0iNd6hTOTS2oMd//jS1TYsWXFdvtEHpqdX8bfxa7HZ87HDzxVC9ptVqi2mtqajw8POrr60/1oWTl7iABuVxOVH1YWNi1a9fW19fdoW3b29sgCDFF8ziX6YOojtrOcdzvB2ukFYD0RtRmhf2EILiBtctNu40/yxLP+2Vy8ZyAPwW1fOyatAJQ/+ja2+K+6KK+t8V9dcyJ3I8otou2nUEXUQSbipsIxIXNYLPZRNXfuHHj4cOHLqx/e3t7S2fBJz0PCvVhdIdsasPOIQ+GEZt/Pao+NHenBZQrNum8GfHoqt5otVhBixXsHVr28qHdCqHHlAixTCG3gumRhYLYEmEdc2J5XY9NoQiCTMyrXxOym4Tk9i58zfuJJQYdm1U1dk/FlAgDs3k3Apo9vanFzSMmC2A3ZljihYsSGuValR27NhJ77SM6GIYFAsH9+/c5HM4//vGPzU00hRkIgv/85z/Hx8ftbri1+++vf/3raWMvCwAW0mRFTcMofortxO3Jf77rfluMZtF+GN0xOa/u6t/Jj+vlTa1qH8N9b5/GoQzFknElR7I4u6w5g7Q8SpUhPJ9/N6Lt1/C20Pe9zT3TeMiMBwVdjTVxp/GccRh7smx6HVuxeXpTy+hyv0zur+Ffbl9c09lpAfuJ0ghZ0Dx0+1514cnZ2Vmi2q9fv/6Pf/yDxF4ulLDbVlVWVkZU/b/+9a9///vf7oO9NHpzRMEug/eLRJZSbXAgT5ub9g5DugeF6pPOyWkYTPsw8CzuS/jLi0TWxLzaZAG4ksXgXN69yPafQ1spad0tPTO/xzNvBtNfJLIKacNLSh0AQkYz8E0awF6+fElU/X/8x3+4HHtNLqhxMxXGIlTROopz22Jbw585tHE0ZgWgNv7sq5Sum0Etv8V2FjeN6AxWswVMqhB7UKhXfWmfs2f6Z/Vc8aFVto1Wd4x5p3HuRqAzMDaFgiDcxJ2+FUzHHcV+DW/rkS5hyAwAYZZo/k0q+2Yw/UFUR1ShANtL+T2Btbyue5Wya8wE5/L2ddJ3MPAu+SUSe9kPAAiC2Gz2/fv3GQyGSqX6xz/+gU2sFovlv/7rv2ZmZuxuWN/9d+PGjdPGXgAISSeUGbXSVynstA+S9FrJj4Go/2xkgSDYxov4MrlrYU1nsYJd4gW/TK5PBudj1xQxo61POgfL1XM2TlQACGU37MrtmlghJqbvDcntjSLskCZX9lsBdMMRC8z0TuMkV/Xjs4MHhZpWI7EDWAiCGIxWlng+slDwmYFscU136O6wnR6P9BMEQaLax8bGbty4QWKvI8nwghbW6/VE1RcXF//000/ug70MZuu7DxLiyxKQ1aPRO/Io+GxmDsuzj8LxSee8SmEXUGXPE1hxZSIs6YXFCpbR5cTKQ9734knAgnN4knFlUdNwUA6vsXtq65uzgW1ubhJV/+TJE5djr4U17cvkHUzzU1ALlfMlAzoEweNzqpTq/rgyoVi+arURA82taP98t5OT925Ee/fAAsbXg6npl7DWQtpwV/9CRq30dSo7p2Ewvkx03R/NeQCgHhxoCt27ETspdH+L7URDX21EXysbel9Cos9bwfTYUuGDqA7/rJ5NjckuciulCp20L+hLfS7NJrHXLrHDMNza2nrjxg2BQIB9vL28vPr7+2EYnpyc/N///V8AOGRX+7T9vRAE2dgyYRgL3UCkUCMKBCG5vbeC6eyBhSu+tOsBzVVtY9hrgLltGs3Ayrr+YXSHzceWdiOwmc5TON40tPOoxXxsd0nqKD90BsvTrwtobEZ4Etv5/uPgNf+ml0ldmXVSwfDyzeAW3BL2OIahNVgMJqC4aeSaf1NKVT/R9QTj2tYZrMQmWAHoU9ckvo95O4S+sKojei0QC7v8mPT3crlIL0qF7ubvtb29rVjeuhVCx172HwNbOJLFg4SJRUwbTABvcAkNc/GhefnQ8Cicn0PoPdIljd6Cf1ONZsDOqPYgqj2nAU1h5OVNTa8Z+OMrbvD0pmbVSXVG65m9gwf18fTOn4a/lxWAqtrGrgd8iZCgpHVjGXsRBJmaV+NbwFd8aALZCgwjA2Nrt0NacTR8zb+poFGmNViX1/W3bWPgqi8t7cMAzi7k6U1NrR74I6nrSWwnNoVu6czRRX0/+DV5elOv+Tdl1Un1RisayGWwiOWrv4TtVP6DX9Nn45ZfJrfLtr0oHVf+9NW1/1YwfZ7kgTviUCOx1y6ByWSy//zP/8zKyhLb/sbHx4uLi4ODg7u6uiIjIzMzM3eV3u/HaWMvCIKZojlijvoHUR2VbaNTC1stvJmUqn6maB53ocUbCMM2H9vW0fQaCV+2fCgxmMkMMPrmfDO5vycwi5tHVtb1J5lDQRAuaRnB90Y9bGTZC6vaBtZE2oeBJ3GdvhncitZR768EFtn1gwAITS9u5X0aSquRZNRKcj8O2d1uhx1XNw1vCOu/Kz60kuYRO9sYLg2XH5DYy+UivSgVuiH2AgBwZmkrv1GWXiMRjqwaTbtWKbhgMfI/4fBKbef4u+r+AqoM9eIq6iujy7EoHMq77tHZTcw0DsFolAwIwY3sHdZ7lMigRBhg46l59JYRXdRH3L16Etcpm1rHd8fw52J5zNwzaIbYyEOPTwN7oeRqBmuXeCG1qr+6Y3xdbcRMUBYrGF+Oeuvi/9A9Pgu4qNyVyvpeZHvux8GRmQ0QhFfW9aUt8gKqLL9x6HbIzq7i0zhmbImwiDaMTaEwjKg0pk/sqcRycQtPodKYzBagd2g5OJcXUyL0I+TJ/iWstYYxLp/ZNFtALEnU0OR67sehItqw42yhh0rychYgsdcuvXO53JiYmMSvf7W1tXq9/tOnT+/evauurtZqD6d4Pm3sBUJwC2+G+C7djWjHdugBAJpf1bL7UX92perLS0vsHgD9CKHEAAAgAElEQVTCqK+Aw8QRWH4Jvs1VE3vPMefKY9OcYrzJHMlCWF7v/cj2+1Htb4v7lpV6vdGa+3EQt3XdCGjO+4RucETk82eXNQiCBuA8jmHci2z3y+SWtoyEvt91O7Ff29vbi0rdMyI1qw8tu37QYj0jGziJvezUcXl+uiH2wlywjWZAb7Qe5HcFguhijDe49CyemVzV/yqFfTOoJb5MVEaX/5HcdSuYjm04zq2gGbjVWnOPdIkpml9c0/UNr0QVCh5Gd9wJa/PN4H7smgx93/tzaGtcqSirTkokD/sM4Pq/7l7h4wGGEY0ejaphiubnV7V2Kyi82IU4OA3shXUcgmGzBcSDIba3tz8zB4Xu3hd+k9ptMAFWAGrtVbxOYd8OoT+J64wvEyVVinuHliHbJA+AkMEE2JG6PYzuqGwd7drNSg+A0Mq6niNZZIrmByfXKWndHhTqnbC2tBrJm9Tun0Nan8YxS5pHNHoLBKNkRuLRVTpvZmRmQ2szi55kZX4hdH0ajSSxl4ulehrYi+hCjiDIzJKG8g59N7B/Efn8ZZtdiujPHp7P//zTcd8wr1izBbRLjIq7auKP+D2BtbF1TCovncH6/uPQ80RW6Pve2BJhLWN8ZUNvBaCJOdWT2E78EV7etLhSkXh0bXkdvWo0A+tqY0pVP2buuhncklAu6hIvCGQrSnQtaM9tYTQBxJREPwW2SMaVh6JMx/Jx/iqJvZyX1TdW0m2xlxWA0IQWByy0RhWbaR8GYkuFPwW1ROQLqtvHvLypP/g1vU5hvy3q+9AxFlUoKGuRK1UGpcoYXdSHxcG8/zQUUyIMyuG9Le6LKRGG5vUG5fCk40r2wML04tbw9MZzAvV5XKkQowTDsCAafweAm1ummBIhHlUzqkDDmC7o3+lhr70CgWGEK13Ew1e9vKlUzjSafxFBlCpjSdNIbKkwuqjvz3fdsSXC2WUNtk0MAJDJAozNqp4nfqGk97SZKpMr+4NzeAYCK8TGlgnXsk86J9+W3s3Lm/oktjO2VNjYPSWdWDfY0g3pDNbippHfYjtvBrW8Sulq488ee1m+t5uX6gyJvVysbtdiL9SF3ARwJItxpcKipmGUbhSGARAantqIKxM9iu5I+yCZmFODEAyCcD51CIcy6L4e9cAkuNgWJJUzxZEsvqseyKqXErl5AADKa9xVlV8mV7MncaQzgoNhpGdwCXMa8PKm3gqmh+fz5TObLPFcA2uCGNt8xYdW2iK3WMFNjamGMR5RIGjsnhqeXs9rRGM5w/P5A2NrVtu3ZN81FowgK+v6Mrr8eQIrOLeXb0tz5kwLXVKGxF4uEeNFrMQNsRcEwbPLmtyPgylV/SL5qnlP4hcAgJIrxQ/fMpIqxFXtY3GlovTagYpW+esUtm8Gt7VXkYpuQQ4PTa3zZUv5jTJ8VvnzXTcWE3MzqOV2CP2qb5NfJndLZzaaAOHISs7HwTrmRGSh4HEMI6t+cHpxC7O6gbb5Kr1GUtk2WtI8gtfmQaEmV/ZfXG70s8RemOmr0+YH8iaV/alrSvOVkREAocl5dXbD4MukrncfBlp5itTqger20bllbUnLSIcApQv52DUZnsd//JaRUtWfXiO5FUIPfd+LM48AIOpkRtRLdHFfYDaa8gQNes3gLKzpsL1jGEZ4g0v3o9rxwt7pHCws/SK+vOfbZhJ7uVj+J8ReMIIYzYDBhHo7bm9vAyBM40zjy52H0R0r63qDyWo0o9Zmjd6CuzTpDBZissUvDukHpJpf2zRk1Ej4Q8s48f1VX9ocgdp+San7we9L3jcvHxqjbw4zYqO+GhCsNVicXOtYAciW4WQnhdzPoa1pHwYKacPeaZzi5hG8a7dD6Evreo3eElOC0mRgPGSp1QNqrVlr2PH2dawtCIJ1RqvZetZZxkjs5Vgv3/DVs8Re2HaPybJ/tmNcyAurWqJTdo90CbsEgNCmxqQzWNRaU1mL/M933YXU4T+/WtDvR7Y3sCaLm4ZRw8mKRqU15X4celvc9yJpJ+zO05va2D21d2bokS5d8aFhHvdRhYLFNZRpAm+PfGYTm2fC8npfp+4E5XlQqA+i2o+3qMMrP8eDM8Ze+FaySmvCTFDEvlsBaEtn/uxt8nsCM7MOdeq9EdD8PIFZ3jrq5Y1GQoTn8yvb5KUtKCXkFV9aV/+81pYsxGCyLil1PoR4RkwvBdThW8H01OoB4cgKHmyBzefElKC3Q+i8waWDzKvEFpLHdhIgsZedQE768yTYy2QGWnsV3umcP9/Z2KUNaI4gbOsdgyPX/JtTq/vfFvf5ZnI6++aIfCrO270sVlAgW/nAGAvJ5eHLFw8KNalSjL9jMAwvKXV5jbKkSjF/aNlkRqd73Lb0LJ4ZmtcrHEHjnB3LCwAhlmj+Z0Ikjk86p7R5JDiXZ0NgsrIWlLgruqiPPbCgM1h4Q0v3v7Lte1Coj2MY/aNfAp4dP+h8r5LY63zlf45PPyXsBcOInTf65paptnP8j+Qu/ywuux/lEdi311YAyqjdxTERmMMzW8CVdX05XR5T0tfAmgjL6/0ttvOdLb8FntzCg0L9LbbzbXHfdf/mqEJBA2si9+NQUA4vZTe9y/uPg4u7Z4bPTgtE/hoPCjWjVorPJBYrGFHAx+YZ1LeschdZDGn32leJaJi5bUMRv4qd2dKZP3VNvk5l753/t7e3dQbLh46xnIbB5wksv0xuQ9dkY/cUHuHoQUHDGJMr+9M+DFS0jpa3ypVqw6euyYRyUT5VZjdmEivE7P6F6vax16ls7zROa68C+9aQdi9cIyc/uCzYy2Qyzc/PTxL+nHGcP4Z8j4290ISGu9lQ2/iz86vaJ3E7TlFXfdEoX2yrzsuH1j2wYLKA+B7cV3+v9l/D2w7y90IQZHpx68933YnlYru893vJ8QBwl8uInU/Vr+FtezmX7SQGgNDQpBJjhflCwEiVfU55cc2vicaZTvswcC+yPSC7x0bf1yKWrzL65n4O3YlqJhL92dXsVj9J7OVW6jjLxrgce9ncDKyScWX3wALmuIMl46rtHMcDU7x8aCL56r7GBpMFiN6dU/llUpdGbylpHrkZ3PLuwwC+YeRJoaKruAwOXu3diPa4UtGNgGbvNE6ojbgrKIeX1zgUmMO7G9H+S1hrYHYP5qFFnBn0RuuLpC/uRBjGii7qw6GhwWTFA5A9KdT0GklYPp/09zpoiNqCT9EQb3b/gnRCaTABaB4RCzg+p+ofW2tkT+E0Ol4+NK50l8FJpTHlNOxEL13xQY1bxDzZV32b0mskpS3ysDw+UzT3qRut7XUKO+R9bwFVhmn559BW73TO0OR6V/9OdgQvtKovtPW7/b3YpL/XQao89PylwF5qtTovL+/58+e/E/4EAsGh0jlGgWNjL6MZsMsC5J3OUaoMxGDA2yGtGbVSPJA7IKtHIFvWGdA8EgCILpSUKmP3wOJBcY4oO78tTPJWCP1hdIddSiKWeB7LR7HvnL43lvAHv6aipmF8gbuvrFBamgX1uw8D0UVoHpLoor7KttHQ970o/U+9lEj65eVD+xwnNarYJHKuovzLyrOj6dq3C86cJLGXM1L6Jsu4HHtp9Zb8RtmTuE4s31ff8AoIopFlOHUWhm9Sqvr33fe3AhBHsvg8gYUFqXjaElpsbhl/T2A9T2CF5fGv+zfj1u6H0R2J5WJ8gzIsj59WM/BTUEtF6+iv4W33IlEodj+yPbJQkFo9gC0F90YmQhBc1T6GAzgUE0gW8TkEguFm7jSOGG6F0OUzmz2DZJzj/m8DCMJcyaJfJvfn0NancZ2lzSMbamNbr+LPd93Z9SiZNq47Dwo1LA/12bJYvwRLKdWG3wmxDh4UNHccHq7kQaH+Etb6kT2ZUSuJLu4Tjqy+se3/3gqmZ9RKf4tlRBYIsFRRbfzZzS2j3cfIL5OLp123xTmutfYq5AqUbwJf/O/fJfLsARK4FNhraGjot99+a29vlxL+9mZmPEBERzt9bOxlsYJ7s1+38RWFNFlmnfRJbKdfJre6AzUC469fWD6/umOMJZ7PqJWUtqAsXBAEY0w8B70PRHqwqCJBfqPsZVIXJY3zmbdiYl5d3DycXS+VjCv3ndbtOLSu+TdVd4wBoH3IoZ28rFaIP7ScUC72z+QWUIcn5lR9wyvh+fyMWglxKrniQ0soE9UxJ5q5M1FFfQ+iOpIqxCPTKFGNXYVu+JPEXm6olLNpkmuxFwSj7H03g9E0Fdi/iAKBUmU0WQD/rF3pWXM/Dtkte2AYUWvNrb2KuFJhYoWoqGnYL5Nb3jqqVBm3dOY/07qfxHVGFgqwHBhY5c8TWCzxfEQByhmRWC4qaR5OKBd9Yk+lVKM7g09iOwuosmfxzIgCwfDUBpZldV+pKlXG8tbRF4ksn3R0fwp34sYKa/SWOiYaWPPmXfcn9pTBZIX27KjuW62bnzwNfy+lyhhMcAW5E95W2zmOOYdk1EoCvvq/Y+qLLxONKjZzPw4W2hi2VBoTTpGIFUisELfxZzNqJb/FoJ+PNr6igi4Pz+d/Yk+pNKagrw96ncouo8sDsnp8M7gfGOOLazqTGbD7GEUWCogfBRhGbIt91CmZ/DueBC4F9hoYGIiIiNDr9ceT0ZHuOjb2QhBkfE6FO79f8aG182evBzT/4Nf0KrmL0TeXWC5q4SnwRepVXxp/aKm6fewGSoJMu+JDux1CX17f6aMVgLQGC5EkBstIv6jUBdlSD90IaM6qk/YOLa+rjXMrWowH2cuH9lNgC39oeW+v7bjjH0R3LCkP51zFuLN1Biv6CTEDMIKgpMlG6+qm4aONid7TmxqY3VNIG/7Inrzu33wrmD4wtra2acDs7QeByL3NO8czJPY6R+Gf76Ndi73MFjC9VoL5rWOfz1/D28ZmNxEEYRMcEq760jAOPLzvCIJs6VCD2TV/lKD8qi/NP4s7t6q1AJDtkpnGmf7Brym7fvC3GAZWs6c3tYA6vKUzq3Xm4en11Or+6wHNV3xoN4PpbfzZKzY79MaW6bPLqc5GdO7gTUR3ygBoc8u0pTPbualhHuIACKk0JrXWDKCpCL+RD/ZpYK9RxaYdlXx4Pt87nePlTe0QzNI40/jY+Pwh6B9duxVC9/JBJ/9bwfSZpa3mnhk8eumqL00wvNLOny1olNF5M9Xtoy+TuxTLGpXGZDIDWzozX7aM1ebpTb0dgt6+rjZiTiz2HyNf2vicClccAEIavfniBqjib835HlwK7LW2thYfH0+j0RYXF5e//hmNxySscqywY2MvLIRwZHojubI/wQaziF4U3umcmBKhbeE4GZ7PD8vjUzlTn9iTvgTeYQ8KOpkCIASC0Mj0RnSR4Fk8s7hpeFmph2HEYgV7pEsB2T1BObx2/mxt53hzz8znXG9vUtld4oW0DwPYjIz9H5zbuzdaEM+ZGJ7Pz/k4tLyu38uz5Vg4xKtYbTzpEo07HVMifPSWkVwpfv9p6Jew1vB8PnGNRbzLPY9J7OWeejmDVrkWe0E2lwCiaSooh7eygRL1qTSmRvaUf1ZPRD6fJ12yWHaSm1msYJ9spYgmIxLm3Q5pbemZweINDSZrIVVW0jwSXSRo5c3ElwmxkJcaxlhzz0xMsfC32M5UG9cMRtocU9zHlS5+ewkZXTseTgN72aVQ/Dm0tbRlJDC7xz+rJ7JQQElDY7CCcnpC3/e28GZYonmcuMvD5r1XwxivahsNzuVFFQp6Bpc+siaJW9XX/JsrWkenFtR5jUOPYhj5jUPt/NnYUmFq9cD4nMqOhheC4JHpjcRycXJl/8j0BnYVoy/Jrpc+ikGn68l5lN7ItVK9PLVdCuylVCqDg4O///77n376CU9E393dfRpqdhJ7wTCCeWjZtQFL9KEzWjJqJV7eaNg29u9pHLOoafhmUEtiuaiiVe6fxf3BD3WcJM62HhRqQrnIZAFnFreIq9v0GolKYxqZ2cBzpv4a3tbSM4MvocLy+D5f8/lgj3uewNIdwE8BwbDJDBBjyO264OAngqCWanxljCDI3Io2PJ//OIZxJ6ztml9TQrk4oVwUmNOzpTPjLiMOKnSTSyT2chNFnH0zXIu9tre31VpzYrn4bmT7zaCWP5K7WCLUCxOGkU/syV/D24JzeL4Z3Gv+TSh1sM2ABMOIQLZyK5geXyb6NXwnKfKPgc3V7WPYCgpNqBrP/DW8LSS31y+DS0nrLmkeSansT67cyZTqSUFpCCLy+Vd9aYHZPTqbyRyfprCEQrjl46hyxl58EPp2jF7b29ungb0AEGoXzD5PZP0U1HIvsj3tg2R1w9DAmiynyz+7//4ezyykDQfnoEkVf/Br+jGwpYAqw5E6xr72JLaT2j2V3zh01ZdWx5x49JbxU2DLo7eMZ/HMp/HMt8Wox21wLu+32M5n8cykCvHCmvag3WTsY4RfRRBkddOAEbxhnwnvdM7cihYfJEcdFZe8/KXAXhKJ5MmTJ93d3XK5fPTr39bW1mno/lDshW78WUDphPJj1yRvaEln2CfdLAwjKEFL4BevWE9van6jbHByvZE9ReNOP4juwIb+y6Su1OoBopdrG39WrTV/Yk/eCPhy7w9+TXGlwnbBbHqt5G1xX1AO73pAc1AOD6fO86BQ70W2FzeN4P6wnt7U00iGCIDQzJKmhTfDFM1tbJkwjwHJ+Nq7DwMRBYKY4r70GklKVX9WvbSNr6D3zgyMrRltTMqnoSbX1kliL9fK8wLV5nLshWXd6R5Y/Ng1Se+d+cSeYonn19VGOx6Hdx8GMNuwyQKEF/Cv+NCCc3e91I9jGDTu1PTiFgBCEATnN8qIE0V+o8w/kxtRILDLAlREG06p6m/hKVji+f6xNfHoWptAMbui7RTOtfBmZpY0x1h0QRC8uKZr4ys6BLMrG6gN/gLp10FTTwN7YV8H2dRGI3uKK13S6i0mMyAZU1a2jdYwxlOq+u0ypwXn8jDLlpc3tbRFHpzLiy0RJlSIs+ulCWWiHuliZdtobIkwslCQXS9t7J6qsNVTQJVFFQnyGocauib4smUn/eUhGO4dWr4XuUOs+mtEWxt/VjLu6FvmQICX/NKlwF7Dw8PR0dGbm2eRv+JQ7GUF0JXNs3jmj4EtD6I7cj8OaQ0W4ijEgoo1OjOdp/BJ5/wW25lVL11Y1UIQbAWgwUklzqF61ZeWUtWfViN5Gtf5OoVd3DwSWyKsbBv92DXpk86JLuqjpKFcEqnVA49jGDcCmu9HdUTb4Jd/Vk9Y3hfSHQzGlTQP1zFR9qCncejuQ0YNut4itop4DEKwwYRSmJrMALQnvQ+xJPF4eGqD8q77dgj9jm35vm5z/2pgTfwWw/gxsPleZDuajKxC/EtYq086p4Yx/iyeWc+cIHKYEWtzq2MSe7mVOs6yMa7CXpiNwWQGjGYAACAQgoUjK29S2Z/9eDB7VWnLyJ2wts9EMH6Z3Ku+tOyGQczX3mQGMDriuxHtGbWSiALB/ch230zu+09Dvplcyrvu4amN7e3thVXt+49D2ERR2Taa0zD4KrkrpaofD5r2oFAf2ZjuA7J6+LKVoJye9FrJszhmReuobwb3Tljb7RA6XtuhEsYmMcxkMrei9c1AA/d+CWv1z+I6mFgOrdatChwDe2FaxnJRO+gLjCAACGP2JHb/wsukrptBLTHFfe2CWeIe4hUfWlypMKJA8EdyV94nWXy5KL9R9jyRdTMYnWN90jkzS1t0nuJpHPOnoJZfw9tC83qZwrm8T0PY5+BBVEdCuSivcYg/tIztRTjOAQrDiHBk5eHXlb8HhfpHclfuxyHit0x/wG6Jg85e2kuXAnutrq76+fn98ccfBQUFlV//pqenT0PrjrEXgiCzyxoiXeqv4W1d/Qs4gjGZAa50MTSvN75cNDGn2tKa1tVGbF2C2P50RmtWnRRfwvqkc3qHllA26lLhj4Etnt7Ul0msLvF8Zp30WTwzu17a2ou+exjA8qBQ70e1v6vu/z2e2S1ZxN32P28+9o+upX0YiC8TpVYPPIntvOJDS6uR7F3jIgii1pibuNN8GRq6GJDd0y6Y1Rv3Md3ZydYKQHa0Q4W0Ybli81XKDmv2L2Gtb4v7sHVVfJmIktb9PIE1NLWO7a3YVehWP0ns5VbqOMvGuAR7QRA8qtjEMiS29ipqGGOfXentVkfVHWP1zAmfDE5oXm87f3Z+TQPDyOaWqbpjjCP98i5f82tKqeqncaYj8vnXA5oxmonooj4sYavFCi6sarPrUZIa3uBSDWMcI2vFJgdPb2pcqQgLlEusEOd9QnOwvk5hx5WJ8NnDg0LFanMsYYy9ObyAH1sqnJxXJ1WIiTXsO7E4rtA9rx4Ve2Faji0VhhfwBbIVZ1xal9f1OOeOpzf1WVwnlnkTk+fNYHpzz0wRTSabXH+eyIoqFATagqhwaVd3jBGdSW4G0z8npiN+Du5Ftr8t7kuqECtVemwEBufyusQLBuMucwAmfwRB86AnV37JsXvNvym2RPgHIe3Br+FtvKHlb8auedqj7lJgL7lcjrt5YQe3b98+F38vBEEk42t3CG4Z1/2bq9rHsCUsgiCdfXPEQBUsugTzltjUmGaXNasberF8Nateik2LTOF8DWP8Tljrz6Gt0UV9GbXSItowTiT9c2hrfJnoVggdfxt/DGwuog1zJYu5HwcnF9RpHyQxJUKxfFWlMT2N34FoHhTq8wSW3SIGe/dyGgbL6fKbQV/C4L28qXWdExZgJ4XIvkNWozd/JqnHmuHlQ7sT1pbfKGvjK4hMqtf9m8Pyep8nsn4Ja82sk9Z0joe87+VKFu2cQPet/3xPkthrX/k77x6ErSv2rcTNT54ce9nHlPnQPnZNFtJkuGuBB4X6Y2Bzbec4cWYYm1WpteasOmlwLq9ncKl7YCHGloOvuWfGP4uLUXOlVPW/SGQ9T2Bq9RYYRgwm68KqVj6zkdsw2MCa9PKh2Vy55alV/b7pnNIWeUvPTHJl/8Pojj/fsctbR38ObY0oEOBEMD8GtvhmcPIbZQtr2i2deWldh6U+s9MygiB4iiEPCtVmlbefWIhZnN1cvw6adyTshSDIqOJLbiUPCvWKD61HumQnur3PGpvdvGfz/AvM7smqk6ZU9fNly8VNIz7pnMhCAZ2n+NQ1+TSuky9bXlzTMYRzz+KZfySjjiixJcJfw9uKaMN3I3a2CG8G09M+DNh9DiILBAFZPf2ja/hS3MuH1tY7u3fFC6PJha1TC2oadzowu6eMLkdzlhCosK/7N3/smty7Yt/bL/LM9vb2pcBe29vbMAybTCYt4Q8AdgKFXDgUDrV7La/rw/J6cTD06C0Dp6i20aty8EseFGpq9YAFgCxWkCtZDMrl3Y9qjynp+7zdEJjdE1EgeJ3Cvh3amt84ZPsn80nnBOXwylvluE/Adf/mSFsxvM7HMYychsHU6v4yuhwAISsAYQZwEIRLmkewhTKWS7GyfcwuhgVGEPnMZnqtJLJQgH8GPCgoM/Lq5oEblJhsARDKqpdizfDP4hY1DceVit5/GsJXdahNzrbtGJbPL6DKKGmch2874stFw9PrJPZy4fg8y6pgGJ5Z0kzMqx3/m1rY0hosh36HzrLlzj/r5NjLYgUxPi38JfXN4Fa0yuNKvyQ2RfN9VYgpaTszw52wtnK6XD6zUdk2mlTZ75/FTawQ03mKItpwYHZPVftYAW34j+SuJzb/gQbWBABC2J7jk7hO73SOdFyJE0F5elPjy4Rc6WJWPWopf5nU9YEx3sCawN7Bp3GdmTYr+y+hrWk1kmgb8Z5fJreMLk8oR9/fhVWtneJMZoBIQ/VHcld2/aDjicV5abtVySNhL4sVjCUo1IOCEuuY9iSGsgtKWFcb338ayqyThuX13o1oD8rhFdJkieWitBoJtvWc9mGAJZpfWEMJqDc1xk/syRJbXCSWLbdDMBvyfudbczu0tbZzAs/giVG4JZSjex0tvBl8+HlQqN5pnL15NlfW9Rjf25tUdkPXpEZnnlvREP2GH71lSCfWSbuXk6P0UmAvo9HIYDBiY2NDCX8SicRJGR2pmGPsZUuPDQlkK4HZPb+Etr5KYTewJvFVoMFkJVKnelCo8WVo3OL4nAqHU9hLG5zLw6IUbwa11HaOs/sXXiSy4stEsaXCtBpJYoUYTyVBSesubhqmpKGOVi+TUA+PuFJhVfvo4prWrl+rG4bkyv5HbxmPYxjvqgdUGpNdAQCERPIVm59mHxF7PU9kEXnF7O7Cf04vbsWVCl/Z/NJSqvqji/pSq/tLmkdC3/feCWt9kdSV34iyyKbXSLBAdxQC2tCnWmvGK3HPA9LudZBekir7I/IFjv/FlAhHZs7CF/OgRp7k/Mmxl9kCxpXtwCwPCvVNKju9RlLDGI8o4N+LbH8Wz+weWMDsTzcCmkPf974t7nv3YaC7f6GGMR5bgnr8JJaLahnjOR8HkyvFTQQeeU9valHTsAUAC6g7vvZpNZJXyTsUzc/imeWtck9vKhaFE1MiLG4aKaDKGliTAVk9+Y1DybZJg7gHejeiPaWq/+eQ1gKqDE8fhInRYLISfSo8KVRq91RyJTojHTSxnET+53jvkbAXFhJBxDeUNI4dCS0MIysbemJQAgjCQxNKX0IQ+vNEVmnLSGKFOK5M9DyBWdAoK22Rt/FnVzYMS+u6rv756KK+qCJBXKno14i25p4ZlJckk/treNuzeGZ6jaSzb664afiNze/2ZRLqrVXVPvahY6yWOU5s26tktlq3a9aFILiMjg4SrJiXN5UlnjdbUKMA8Vt2Idxzz3HMEB99KbDX+Pj4o0eP0tLSar7+1dbWKhQKoiBcdXwo9kIQxApAcytagWx5fE5FjDFBI8ltdKPY+L7iQxPLV60ARONMY75c3umot8ef77o/Mxr/FNTincbJqpcOT63TOFPlrXKfdM7jGEZ0cV9uw2BlG5q+3oNC9cvkdg8s5NQPJpaLY0uFWfXSGsb4yMyGwWS16zIMIyqNSeFY2YAAACAASURBVDKulE4ot3Rmu+Xs9vb25LzaO43zIKrjs6sWFth8O4QenMtr4k7vXcDZVY6xlylVxqHJ9c/JiwKye+6Et90ManmZxKphjNd0jNF5isgCQQFVFl8mwq3fmP/v5IJ6b21udeZSYS8sq7qT8o8pFgZm8xz/C8/jy2z+4E7W6VbFDsJeAAgZnYtEgWFELF/FCV+8vKkVraNP45nU7qkIW+KKocl1rcFSZ9tzRGkgCgT3Itt/CmqJKxXmfRp69BYNo3kQ3RFXJowtFb5OZbf2KgKyekqahsvp8j+S0FRCa5v6ZxjHxPte3wzOg6j20pYRlLHC5rmfWSd9kYgmZAzK4UUX992P6rgR0PwktrOGMT42qxoYX1OqjCzxPDHA7Zp/U+j73heJrGfxzHX1LqJEGEboPAUeNI35km46nFjcSqHON+ZI2AuGEZF8NapQ8CS205NC9fKm0nkKzEQEw4jJAlgBaHXD4J+1E5SwsqHXG63sgYVfwnaoQ24Gtbwt7vvzXXd6jYQlmk+pEmNBDIHZPSMzG2/esW+H0H8ObX2Tyq7uGIsu6mtgTYa+761uHytuGqZ2T9I4Uz7pnPB8fmK5OLJA4J3OSa+VdIkXBsbWoov6nsUzsbbVdU7YbXroDBa7hEWRhQKTGW32vt8y58V4aUteCuwlFosDAgLUajVI+DsJL6iD4XIo9sLuxdje9+Ibjc5M5Uy/Se0OzuV9No9ZrWjmBnb/wquUrk/sqchC9G0po8uZork2vuJtidA3g1vbOcHom8uuH3wS11nHnAjO5QXl8Fii+fefhlKq+pt7ZuJKhbWd4wWNsla+IjSPH57PbxfMfuyaWFzT2QkBaxVKwrOHexoAoOTKLz6zzxNZjd3T2fXSD4zxwOyezy5l47P21Hx7RYQgiM5gkU2tF9KGr/o24cusoBxeB1+RWCH28qG9SGS9Le675r9z9U1q98Kabm9tbnXmsmEvuWIzv1GWUz/o4F9VB+rFeAmxFwzDqxuGnI+DYbYXTefEdqrV5lTgn8n9M7W7qn2srGWkqWcm9+Pg80RWXKlQrth4/2moolXe2qvIqpdi3qI/BjZHFaLkyfh7dD+q421x3y9hrTkNg8KR1bhSUVgen8aZpnGm+ENLRbThkuYR3wxuxP9n77262zjWLuGf8625m7l4Z83NXL1nrbPmHFKSLduybCtLlpUsGcw555xzzhk555yJDII55wCSyECDnwolNVugRFES5SNbxOJFo9ld6K7qqt711H72bpKSRTMcxTxUak1rlOqntlIbJD+ngEyX25mv9GtA+K2Mb1vYDYB8O+DK+rT4OC3m+wRyZov8QQ4rrlp0cnHqwOGhiGdx5YKEGtFLPWeY7YggwbcOLF9UR/6gizk79kKQ4Pq2o2HM8LyUVzOk66FbmPJ5+GA43T6hdimrRTbAnqgefMXKgG1a0a/tpJo7qWZUrDECh/8ljVbcrRpk2wq7VNGVwooBbXGP+rt4UmyVsKQHOEGhf8U96n7WxAh3spdhrRvRlfZqbPM7KvPqg1wW1Ab7NpZ4I402zJ2cXt5rIYJF6soBbS/dShLO7NjfwNNHR0durx9rdhSBw1cP6aC0/bveZR9UmV/hwV8F9pqbm8vPzzeZTE7Mx+/3f472PiP2OuWnAwjicPlgPMwfQHb3wbK6zLByB5C9FJUD2qhyPlk000k1pzdKvwvZgLSTTamNUq568diSKIYwbtso7FQOsW1UyWxxt1oYSmz8No6Y1gA0kfWTm4/yWQur+7v77n2H58DhXd9xOF2+bbtrZ9910vrDfui+95osH4HDfxdPYsiA8Qjs6ldiCFMLuycRG/Y23R5/D92aWCuOrhCgsWugLpZOF+qWoXBGJA5fNTh+P4d5OZpwKQr8ygh3Msy3DlvmF7L9VWGvo6MjpXkttUF6ejSrpFvt8X512CsYDK5uOR6/tjS+FLKyDluVe+tDu7xxUDeiG+HamIr5Pob1ejIlphLQN+tHdGjXSK4Tl/Vp4MzkpxRqXrviWtJxGs138aT0JoDGyKIZNHJ8KZrAkM9X9mko4pmnRZzyPk1eu+JmOo2Jyem5GkcU65Z/L+ZmNstQXcAIHP6nZJAOGUAQfwBZ23a0Eo1X40iXovCXY8AcqWZI90MimatafCu/B0GCTrcPGtS89X7/BjvPiL2CweDGjhNdh42MwlcPjh+EcsN9fgQmmD8M+Qo8zGOhyCkCh3+YxyruVme1yIq71d/EQqsoYmqDRG5cRcl/kbhX2akV/VpUewgW8lsee3ppd3ff5fH69x2e3X332vbh5q6zamD829elZTbLphZ3k15nR0aGmIWLa/v2UHKGz49s7blWNw8OQ6ZSUv3KDwlkaGF0PZmy9MVPib/wZ+yrwF52uz0vL+9f//rXw4cPn7z+yGSyz9E2H4e9IMUybBRzunxE4TSuHKwwDnNsdNlcWqM0plIwxAGTnjtZjARAvTQ+KmAn1YnH+FMpGFolcLlvlPI1i20k0+MCTvXQeGYz0FFsI5lghCy6UkgWzxCF0y1EQxfVktEkK+/XtJNNvxfzXpTxoOUttn58/kDNa7J8BA6f06Z4mR2DHSkKOpUe72nZjvOr+8+KufeymSWhoQQ9N61RWj+qL+/Xwj0/pVBbiaZmvLG8TyMcX3a43i9ggb3O/8j2BfY6icO+Tuzl9yMj3MkfEo7NsJ8Vc+fXwrmVJ59SaDgNFV6iKgSAL483pDZIM5vlqHD5nUxGeZ/mcQEHcrMymmRPMRn+97KZOa2KrBZ5WuMb0n0xlcJx20YPzVLRr32Yz8aV80W65TAvsqoBLUM299J/7EHO8ev/jzI+SzG/teskCWdiq4RFXaraIV12qzy/Q0kSzTQTjErzGpYycfKm/t57zoi9/CGfKJTDChjueSzD1KbD5aVIZv4o4z8qYFcPjndSzNVD48dJCSCwNJ5QIyrtVQ+ybUCtrVKQ36HsZ03UjQDjNXT8vJ8D2h0kQg7p0J2ROHzdiL6wS1U1qJ2c35EbV9MapXezGFWDWoVptWEUJGYVd6sVIcNHbN793SxGcbc6vUlqW9gZ5U2+JH79XsztpFpsCzv2A7d2YqNmSNdGMi2uha+Z/L3b+nPc3VeBvQwGw61bt1paWohEIun1Z3Fx8XNU6Idir2Aw6Pb6rXM7VOms3LSKamUhSJCjWrgUssXNbVcQhNN5HcrsVnnVgBY7tt7PYRZ2qZ6X8BiyuejK40yoCBw+ukJAEEzDCFNaozS6UpDaIKkcONYG+z6BRBJOj/ImHxdy7mYxOihmlKUBrFvl86jqGKyouRV7ZjPgmtzLZlKlsy9Kj+m6AOo1SE5nfU0t7UIHpPzQjdzLZkIZ1apBIDjUMGZIqhPfyqDfyWQUdal2993ukJXK52ijcy/zAntdYC/4UHl9gW665eprVwmYSja99H4LjUOnt3ZIh8aDv08gdYUUUMv6NLC025n0zGYZTFLOaZXfy2YUdqo6yOanRdwfkyhPCjllfZqcNnkL0YhNbYvA4Z8WcXWTGzBdEb6bKwe0WNAWgcPHVQlz2xS1w7oWgvFxIefHJMrvJbxumqWXYSXwp9HEmjuZjH7mRM0QELYwTL3y+Dv33vRXKfCM2MvnDwxzJ8P8A1SWNb5mEa3YyCh83bBujD8FpHEz6bcz6Cn1kiY8EErtolryO5RVA9ohjg1Xzn9UwHlpv4hVxL2dATR189qVI9xJOISip0fg8D8kkqsGQAYrbPpIHD6jCQTSEmpED/PYMVXCVpIJW9qNNFpOm+JZMbefOYF9HfQxJ/RTIOXc4w34/MCg/a/STF/sdX4V2Gt8fDwtLc1ut/8JzfCh2MvrC3CUC1DA+l42s35Ev38IdO2cbh9cX3+Yxy7v1z4qANrED3KYZX2ajCYZOr/5PoGc3iTtpJgzW2RYbbBL0QSSCMxW4ZG/pNF6GdYx3hQ2Ln0pilDYqexlWH9MptSP6utH9JAHCk+JqghPwwmElh6k+hWlee3A4cXzp487ZzRBOL4MKB1I0O3xv9Xifv/QAyZ2oZXEuGpRYZeqm2bJbpXfyWJERuGvJ1PSGqXtZLPUsLK7/1cyczw6OrrAXhfYC44tUMbpfvYrKTuwwDSk2913O13AvvWU8Wdxff9XzJIT6Jshrz3D1Nb9bGZkFL5hzPBHGf+nFOqt0Iu5nzmR0SxLrhNnNMtKe9Rq67ptYbedZMppleMFx2gpMsTcJwgm0bdvBA5/Nwuky/ySSo2rAt6O38YRh7mTuHL+/WymcHypYVSf266oH9G3k821w7q46ldjCBwWnhRyqJLZqyFX5i+fDHBKhX/6v86IvYLBoG1hF2YzwDrMa1csrO2HaU0/LuA04fXmmW2ZYZWjWniprX09mdI4ZoiqEPyUQr2ZTk+oFdeN6KLK+QzZHCq6FhHCUk0EQ3K95G4Wo6RHzVLMtxJNDaP6gk4l8HDMY6U3SdHQaQQOfyeTAQREyviRUYA91oQ3YEsLqRdJCzpVWCmKCBz+jzI+TToL7UE/veouSvha9L02NjaKioq6urrMZvP068/+/vsXAj7iEfkg7BUMBl9amWLlcH5OpUKZe68vUNSt+iaWmN4kxfaNu1mM3DYFqmh3PZnSTjYRhdNc1eKh00OVzEZVCJ6X8Lqolg4KoNbC3g6mttUijXUdG6y6HE2o6NcOs21dVEvl4DiunF/aqynuUX8f8pHMbpWfVF5+RcYPkWbtB+5R7tSLUl5MlZAln3e5fS63T6pfKepSNYzplzfCg9IIElxaP2ghGH/LZ6c0SJnyeeCA8ZoZA2mkTMX8SarZR7TCn3zKBfa6wF7oI+f1BTSW9ZQGyW8h52PzzNYQx5baKB3m2nbswMYUPRK7sb7jQClBUHuznfxKgU9jWW/EG7Jb5WhfjsDhy/o0cFi4Gk8q7lG/pEL7/YG5ZXvNkK4Jr6fL5mIqhU+LuN00S8OYHrpEYE8nCqcGWBPxNaK0JhlTPt/LACuSbSSTaWarYUx/I40G5WAgNx97YmyVcIht+yGRPMafOh1NYu/ub7l9RuwFdIV8AZ1tI6tFfj+HWT2km17ac3l8lQOvWBawemOrhJaZbbfH7/cjMsPKMHeybgSs8GIrv3ZY10O3JtdLOinmrBY5BFta60Y72fxrLiu9UaqxrDtcHtP0Vnmf5nkpr7hb3U2zFHapsHqqj0IUlNw2RRfV8nsJr51sIginM5pkd7MY+R3KAdZEP3OiCW9Iw8zwI0I+6wz53IVu6jk+yV9F3EuhUPx/Jz6jo6PnWI9oUR+KvdTWdRRIReDwV2KIDaN6CHrmV+w/pVDDes538SC/6UHuq4n1H2V8tnJeYVqFc1B/ADFOb1YOjF9LolyOJgxzJ7F0eLl+ZYQL9Kxhf76eTKFJ50p7NagTRWQUPrNZllgrvhJDmF1+T5jQ7fXbD90HTq/L7QsGgwEkiCXwfhNLXN54Iz/R7fEfOD0uj29rz7ljdz7IZeHK+QWdKnSdJapCsL7tCFvoRCv2S964wF4X2Cvs+fR4/QcO747dBc0WYY/LaVOczAr0+QP2Q7fT7SNg4lXXkymrm4domWvbjtuZxwLlUNAY8jsvxxDMGHW0Q6dHZV4f4kyIdUtK05pAswQtwnoZ1t/y2XBx6loimaNewI4MYt3y/WwGUTBtP/QsrO5/n0CGw86lKDwJw9y/HE1gKRauxBJfyuWHSUugl/r1bJwde8E68foC+4ceFL4sru2jKRGXwbrBEtAADwb3Dz1E4fTNNBpVMhvW6E+LuFktAI3dyqBrrOudVPPmDkhI9Hj9G7vOfYfbfuje2nP1MSZQetnLxRO1ZR0NYkVGAacBGIS7lUFXmddml+0ZTVK+dqkZb4ipFEZGAc39Ue6kyrKGXt6VGKDCHzaefz0N/Znu9KvAXl6vd+PEx+UC2qF6vf58Be4/FHuhca/v4kk/p1DvZTNRe8dAAJldsY/xp9CeE4HD389hspXzA6yJ6ApBaa96gG17VMBOrBUvhYAOXPJ4XsKDpSXWinvo1vwOZVaLXKBdEuuWwdpiSE0+s1k2yLa1k039rIlfMPoxv+ayeujWyYXdU9TkPV6/VL+SVCd+VMDpoJhXNw+RYHDvwB3zeokTvmkaxgxwoHF7/KLx5YxmWeOYvmZI9zCPnVwvGeZORlUA9mhFP8jcrBvW9TGtCbWiQZbNfuiB3q6f6aE/92IvsNcF9jr5UCFIUKxfxqo23MlkYA3vAgFkemmveggk9r6UV1Vb1vmaxYJOZRPeuLJ5iNV/cXl8+W/6KrYSTV1Uc3m/1jC5CUUc4AX4A0gvw4oGS35OpVIls3ntil66pZ1selzIia0S8tSLYUGXwi6gyPqsmBtdKWDK52eX99Bh504WY4Bty2oB8q2i8eVRrq2VZFrfdqCXhwSDf63eerKlPm7PB2EvMDsNgPUC9LcCAWRuxV43ApSAYNaCy+2jSmb/KOP/UcbvolnosrmcNsWVGOKPyZRrSZRLUfiSHvXjkBJbepOUp15EHxKv1680rfXQLV1U84tS3otSfhfVkhjKXrydSa8ZGheNL7WSjIm1ojaSqbxPA1c2vo0j9TGsXq9/e89V0n2sT/GogD3AmijpUfcxrcl1kvwOpdy4uroVvo6B3sjFxsfVwFeBvU6pmv/5P//n2traKQd86L8+CHtBKaBehjW1QZLZDMSI64Z1GztOtIsGgyBVmyqZfVrE/SGR/DCPXT+i56gWhrmTeMFUQ0jBq5NibiUabQs7cDnD5fYR+FPZrfK8dmVOq3yEM7m562TK54jC6QHWxK+5rJvptPga0YtS3uUYsOZIk86iXMtbGfSsFnkfYwIyutDLwFYCAiwpN9BMrsgofBPe6HT5NnedjwqO1YaAEUq3CvLllSHpyBelvPwOJRrl+gm4IRnu5zDjqkUDrIlumiUSJBYQn5fw6NI5tnIhTHgWew1f2vYF9rrAXiefSX8AYSrmsVHtn1KoLMU8nNVA6QGszwyujD8FVqP8aGgEW6ZxajOuSvhziO+V2iAxTG8Kx5dE48sLa/tSw4ppZguGn4+Ojrb2XFkt8tsZdJDLUiloCq1XNo4d69pfjia0k00/JR/nysVXi1ALo0vRBKF2+dDppUpmfy/hXUsk/5bP7mdO6CY3zDNbLMW8xrrucIFQNxyd9FObPPXi9NKex/t1UbDPiL1ANlXIm4StXMA209HREdTZ9oSSihAkyFUfs+8hYReIOLbIc9oU2a2KnFYglPpTCjWqXCAzHltxI8GgfmrzRSmvh27FEnCHOLab6bSfUqj1I3qZcUVmWBFoFutG9DltiuR6yfVkypUYYhPe4PUFXB5fZssrDvH3CeSyPg2Mt12NJ8VUCvsY1rUtx7vWyrGP6MX2B9XABfZ6C/byer00Gs1ms4Fu43ZTqdSysrKGhgabzfbeyv0g7LWycZjXrqgb1rWSjE8KOT8kkn8v5hEE09CZwR9AXB5fIIC4PX795CaeP0WXzuW0yu9nM2uGdGW9mvs5zJ9SqLhyQRvJVDus2woJTLs9fop45lkIqz0r4o7xpvYO3Fu7TqpktqRHXdStRtHP9wlkhQnEnCEJ7NtYYs2QLqZS+Esa7X4Os7RXs20H2jBhvc7rA2IT6MJlBA7/KJ+9vHHg8fpbSSa08EvRBGnI0x7Y1YVE/4q6VKiddgQO/00ssXJAK9QucVRABhbiv+elvKJu9aN89rUkCmB3SmbPoo303kb53AdcYK8L7HXyGQsGg3MrdjTfBZpMzK3Y4ZQGyNlb1rBRsevJFIp4FkuiQpCgx/sKivl8gdkVO0UyW96vAVHkJuntDJAQl9og7aSanxVzh9g2pwt41CJIcHffLdItM+Xz3TTLgxxmG8kUNi9KrBGhJPpL0YQBFvAmQqNlMGfZ7fGbZ7dHeVN57YryPk0zIWRNlkJ9mMdqJ5kOHN5Dp7eHbn1cwP4phRpbJXzpOfvWJBsUZHh9fytwdkbs5fb4aaFo1rUkytMiDtpM6AMDW/nA4QlbN4itFAq0S8n1khtptDtZjIJOJVMxn9Mqrx/RW2e30UQHry/QTDCW9KhflPHRFoSejNmt8qhywRh/UqIHD0NGKEv9Zjo9qU7cMGa4kUbTTmzABCnea9j3uICT2iC9GkdCi3qQwxzlTcKXC3rNFxufXgMX2Csce3m93rGxsf/+7/9mMBgIgvB4vOjoaIFA0N7efvv27fcqsp4de/n9SOOY4VoiOatF/vB1DjDMCddPbW7uOgfZtqJuFVM+v7Z1CBYOOpRtJFNFP8gPL+xSYZOWE2rFyfWSthA5d2J+B7tG+biQ002ziHTLjWOG7+JJRd0qqCEUUykkiWbWtg69Xr/aAgwl4B/a5SKj8G0ksCIZpuLj8wdaSUaULAL1r9e3HUBVcvOwFYzyYF2DGWLfQ//KuhEgPJPbroABc/gT38YRe+lWj9fv9vrL+zUwHTqsKv4o40/M77w1/Pbpj/45lnCBvS6w11sfJ58fkKzz2pW3Muh57UqdbQONaSEIiB9j9bR+TqUyZHMQe8FgidK8VjWobSebwLI+ggQCiNQAclmAYARGwbysT/OilP8wj6WxrsOZEuRfen0BqmS2g2LmqBawY0IEDl/creplWB8VsF+U8TtBXo4ZixELOpXw1e7zB4Y4tl9SaSkNEmzizi9pNL5mSWpYuZN1rIOfVCdZ2gCmzmFV4fcHLLPb9aP6RrzhdDJD2Ilf+NezYK9gMBg2IIc1k9vjh61MFE6nv0lvb8IbSnvBwAj/InH4hlF9O9nUTDBmt8o7KOZQOArx+gJdVEteuxKl7cLjU+slPXQrRTI7zLVJdMvNBCP2mano10r0y3Bm6w8gVMlsJ9Xyooyf0iApAelWxwJ10FyhjWz2+09L1P3CG+sLvLwL7BWOvaqqqh48eHDr1i2IvSoqKp4/f767u8vlcv/5z3++lxx2duy1f+i5l828nUHPaj2WT/wxiVLRr5UbV+Nec6cio/ClPeoXJa/EtKIrBGP8qdgqIRb9/JJKHeNPVQ2O7x24WYr5H5MoCTWiZoIxoUZ0LZFc2a/lqhdQ3PMon101OF49OF43oouuEGzvAd6b1xeYW7XfzHgLn/dSNIEJtL6Oh9TVzUOUy3klhkAWz2zuOuFgHQggh05vWLBqeePgJfX+fg6zbkSPRsXvZjGWNw7h+svq5mEzwVjQCQTMsN3+WiKZrVw4hXn2hfSoC+x1gb1OeRR9voD90BMWE0IQkONc1H2caxJTKZha3IXg7K2ZK15foINiLu3VYAUjAAc0m1nRr/0unjTEtsHTg8Hgtt25vnO4sLb/vISrMK1ihSe+iSVyVAuxlQKKeGaUN1nYpTRMbcZUvnKbuBJDmF95lWfjcHljq4TfxBBLezXYxdMrMcTaYV0r0Yi1//ophaqxrp/EXuaZbdRv4yxJPKfU5Bf1r7NgLwQJshTz2HkytpmwrXwpCi8aX74SQ4jE4Z+X8OpH9fNr+2Fc++gKgcywUt6vvZUOBmqYkOHy+KaXdiv6tEzFPLaetRMb5f2a+lF9Rb+2jzlx8pnZdwAxo6OjI4fL20oytRCN3SEB3iG2DQoxRoR8J+tG9PdymL/msg6c4RbAX1Rz/OUu5gJ7hWOvvb09p9MZHx8PsZfZbL506dK///3vf/7zn52dnSfjXj+++fk//+f/1NbWnuU5AErxw0BWNKtFDp/1xFpxF9XyopT/vJTXTjanNEguReGvJVFwQFsFiNoDIYZUWvXQeOOYHotR4quBqWJSnURlWbPMbg2xbSFPXIDqBtm2VqKxsEtV8WZKc36HMrYK+LZSJbMwtdDh8qKcDzhzKu5Wwx4bWyW0H3qgwEQgNP9e2TxswhsLO5UM+VwT3vAgl5XZLBu3bYS9YGA9IAiyvHHQQjQOcWwUyWxOSBp7iDMZVyNsp5iN05svpYzuZgGtSKCk/BplRuDwv5fwLLPbJ0fzs1Tvu445SXp915Gn7J+bm8M2+9WrV//v//2/Q0NDp5zyd/rX1+wp1NHRgW36f/zjH//+9783Nzc/tH2DweDC2v4Qx1bRr8WVgYTfYc6kYWoTBq7sh56MZtm3scfGpg1jBo/XL9YtZzbLyjDhkFAQSx1VLrifw1KY1hAkeHDoZsrno0MaEz00q2F6M69dkd0q76Kas1pk+R3KUd4URznfTbNmt8oHWBPpTbL7OcyyXk0nxQxDU+jiIGTuX44mpDVIUR+bkN0QGDf42kUsOIivES2uh8e9PF5/etMbOvvZrXJ0vexDK+0/e/zTp0+xTf9f//Vfd+/ePf2SYPITdkx7kMNSmkEzHR0dheUn3c9hUsQzg6yJ0l7Ng1wW1OhC414ROHz9iD6vHQifthCM6U0yIMzGAflSjwo4CTUipnyOpZjPbJYVdakURuDbmNumADTiDmVeO0hpwhZVM6yDMN3nDximNqHOYm67onZE96yYy1Ut1o/ooysENcO6l46f38QSG/GGi7jX6W39of+9wF7h2Ovo6MjlcqHYa3R0tKury263GwyGy5cvGwyGsCquffPzj3/844zY6+jo6KWbdUq9JLNFVtqria4AZkEoj+pSFH6YM5nWKM1ulRd2gQUConD6Tibjt3x2w6h+mDuZ3Qr0XX5MooQ8UF857P6ayxLrllMbjge7mEphfofyahypiWCMrxbdTKf9nArYmiAEHYX/PoE8xHllWY8gQZ1tAwKyWxmAE4B210cFIKV8d9+tMK1K9Csbu04EmE56dbaNdrIpp02RVCf+IZH8pJBje7ero88fcHv9Xl9AO7GBTrJBVK9XgwoPpjZImvGG3/KBkOzTIi6gvnnOzXYTruNYZrdfzkQts9ufYja3tbWFbfaioqJ//vOfF9gLG/36u3oKicVibNM/efLkypUrH4G9oDQAXTqX26bIbVfktil66FaHy4sgyIHDKxpfKu5WpTVK7+cwYagYZq4cODytRCOePxVXLbyRth7DnwAAIABJREFURruRRourFvYyrA/zWOV9gAe2uevka5fQYSQyCt9ONlX2a5PrxEVdqj6GtY1kLOxS9tCtPySSi7pUaIQDsALaFPOr+8bpLbZyYXJxF6ZPQuZ+bJWwdhi8lX9MotzJZOS2KzTW9R27q5VoepDL+jGJ8qKUz1EunARVDpf3RdkbBhhRFQLIZz36q326urqwTf+vf/3rvdgLvE08foJg+lWyVD67m2ZxuF4FkN6an5TfqYSLg/ezmQTBNBTUhdqqROE0zEm/FCKExFQKaoexXghkqmQ2ZFUyxVMv5rQpWojG4m5VM8FQ0Kkki2dSGwB17JdUWnK9BLoxBoPBmWU7DkMUi6sW1Q7rrLPb23uuEc7kH2X8mxn0tEbpxo7jr9ZcX/r1fu3Y6/fff9/bC3f8wGKv27dvs1gs2Iz3798fGBg4vUnPvuZ4dHQUQJDVLYdYt2yZ3dZPbkaVH5sCReLwwxxbRrPsdibjZjo9pUEyxp+qHNDWDI3HVgnvZTPSm2QFnUroOPEwn30pCqh23Uij1QzpbqbT0CnOzynU7Bb5jTQaDLDVjejqRnSZzTJ4zEu5fMvcK0JVMBj0+QNzK3aWYp4hm8tqlcNQeWQUvpVkWtk8LOhU3s1i3MqgZ7fKVzYOpxZ3UxukN9PptzMZqY3Slz32WhJlhDvpO5UW4PH6w6j60DIWXvDNdDpXvaixrpPFM4bp49St0+v8jP+FpNeXsTSQ01BynNNwxtNPOexizRGLuuD23xV7hT0GQ0NDP/7448dhLzgZMM9uUyWzmokNmDy4u++uG9E/CKXR/FHGrxzQ/pJKQzNXAL2dZinpVo/xpwbZtia8oZNiHuFO5rYrEmpF93OYLAWgVKPdP8Qf5bSTgVdgM974SxrtXjaTIZ97WsR9kPsWxfNeuhVXzr+WRImqELCVCx5vADL3xbrlUe5kRb82uxUQQ8v6NNa5HQQBBAOVZZ0mnbPO7bi9/pMh6gCCkIQYA4yQWVlY+k5Ylf5Vvp5lzRHmGbjcPsP0Flk8g7YyvEdsflJkyP2JIpm5+5pCV9GvTa4H+e+QiZveJEttkKC+17+XcInCqUcYbepL0YSyXs0ga+JmOkiWAnaNptV+phUq40Mn9XaSqYtqWVw/gGsdJ70mb6TRuKoFnw+0+8aOk6de5GuWNnacf48m+6Iera8CeyEIMjU11draWlpaWvL6YzKZjo6O1tbWAoFwB2gs9oqPj09PT9/b29PpdP/617/em+r4QdgL9sxAAAkgyKHLi41XPSnkVL/JqK3s13KU81gzx9sZ9FHeJFaq/kYarWFMj/ZeqMKX3Sr/OQXkk38XTxrmTk4v7VYNjt/LYqQ1ShXGVe+bBthwSc7l9rEU87FVwkcFnFaSaWl9H2hAvGZ9RuDwBOF09eA4OsRH4vCVA9r4GhH5zUStk8/6Sar+s2JuXrsSFnUvm6k0rwUQxA/6/jHD7GQ5H7rnJOn1aRHXML11Lr9ygb0usNeHPpDo8UgwCJ720CKUP4DQpXPXEo+Zzom14uqhcZi5giBBmXHlbhYDvHdFM2W9mtx2xShvsp85gcrE9DOAnh/aMaGva0EHJPsroAdzQacqulJ4N5uZ2SxDT4zA4R/kgFUq1Iwytko4uwyyMoPBoN+PLKzut5PNcVXCgk6VRL+Cml4gCLj+k6gLvUFoE/68hPeijD/Km0KjPugBf9GNM2IveHfYVkbvF81PiqkUdJBNee0gUoXmXRV0KqMqBN/EEm+k0X5OoUZG4VMbpGjGQ3y1SDuxHlV+nNt4OZpQ1K3qpVthLBPYSdEsZb3Hwl3XEsmjvKnVzUNUvzoQQNjKeayXNhyB4dMI3wWhkfg8h2L09r/yja8Ce83Nzd26dev69esxMTGxrz8qlepdbY/FXisrKzExMf/4xz+uXr1Kp9NRRcF3nfuh2AstJxgMGqe3ULJkfocSZcfDkfTXXBZfs3gzxLKEey5F4Qs6lVz1QkGn8loSGK9BEs3EekHn8eCb0Swr7lHDNYg7WYy5FfuhEySHv/QwOXB6AcB5DXFCStweNM0qgATth56tPSfY7/Q8f9M5u5NivpfzSlsfXsyTQs4ge2ItlPCI3tTJDWCjtLaPUvUvReGbCcZbIY5/JEi/UkNi2ckTP3FPaJRZuJZEQV9LPySSyeIZbEr/R//EBfa6wF4f/fBgTzx0esv6NNg0mhtpNLVlLYRtgl5foJNq/i6eRJHM/pBIvhRNuBJDSK4Tq61ribUiKO9yPYks0gHK9qshAuhH2L6JJX4bR0yplzwK5VN/GwsMHL+JBQz6p0UceGRkaDCJrjwOvf+UTJWEZGLgFBEJBl1u38aO88DxxriBvf63bsOA+o7dtbvv/is6hr31po6Ojj4Ie721EIhrPV7/7Ir9eSnvcjThYR6rtFcDm/LbWOIg65iFciWGQBBMwxfE5WiCQLv0IBcsSqLZS9eSyAMsW3mvBk1Zja4QYG0VLkcTGscM2PBkMBjc2nOhsbQPGoGDoechtEp+gcze2rzv2flVYC+VSoXD4ba3t99TGefx74/GXiHbL7/OtlkAqJEK7cRG/ageBQoROHxBh7JxTI81f0yoFY1wJ6MrBNEVgmHuZDvJhOdPdVHNIt0ylKIA2sSMCTx/qqhLVT04LtQuF3erEuvENOncgeM4acXnC+gnNzOapY8LOV1UmLr8Rnfy+5EmvAF7MUMcW3G3+rt40nfxJLjcWTU4Prdi9/vfCCJCej4K72AFIwiytH5QPaTLaJZxVAtLG/udVHNCjWiIDQzvwg4+jzYBZQSDQdPMFvqmATg1n60Jydt8+k9cYK8L7PXpTxEUZMELprFpNDGVgmaCQW1Z94aWgQTapcJOVUazLDIKfzuT3jCqL+/XPivmFnWr28lmqBZGE89MzO8Ud6uT68SdFDOEU7+k0XLaFCgboZdu7WVYs1pkRMF0cbcqtlLYhDdQJbPYbLiXTKPJxd3P1B/Ppbr+s4V8OvaC1+8PIHjB1C+ptB8SyVmtcpZiHvqmF3Wpxm3rTDlY68hqkZPFMyTRTFqjNLVROsKdbCGCxHAu0Nm2xVeLMptlozzggFIzpHv8WuO6EW8o6lah4/b3CWQg7Yu8IRWBIMHNHWcH5cNGYI8XWJXE14hw5XyKePbgdcrkf7ZF/lq//lVgL5PJlJmZubm5+SeMI5+CvaAuosPl3ba7bPM7XPVCdIXg51Tq9WQgNDrAmnhRyiOJZoDYdBLlUT57iH08K7oUDbQefkmjRUbhc9oURd2qzGb540LOTylUinjGfugZt20k1Ihy2hR57YrEWjFPvYgGls2z2+igHBkFsmmwyAw+0OvbjoQa0S+ptOvJ1JhK4fyK3TC1lR+CiYk1ovgakXFqc8cO5CrQTyCAbOw41ZY14/QW5LKg/4L+si4QZQMDgd+PON2+cwlBYX8ibNvl9g2xbQ9yWN/Fkx7ksEKkV6BF+emfC+x1gb0+/SmCJWztufI7lDfTwZv4YR6Qg7mZTr8cTQAymMHgvsPD1ywl1Ijiq0UdZHPN0Hh6k7SwC6Cxwk5leZ8mrlo0Mb9jP/RorOt06VxcteiHRPLNdHppr6YJb/gxiQLE7isEzFBCXH6HMrdNUT+qG2TbfstnF3erARshm/ldPOm3fDZRMB0mFnNe9/j3KOe8sJfH6x/lgdypom6Q6/pbPvthHjutUVrUrVKaVmX6FbxgqpUIMqWeFnFGOJN0GdDXLe3VjPEmS3vUBMFUF83SOKZ/mMeqHNB20y3Xkyk30mhJdWKZYaWLanlUAFS7b2bQCztV9oNXuhJhTfBBIzBY+zasotHZS1F4inj2ghAWVqXv/fo3x154PL6np6euru7WrVvp6emdnZ09rz8zMzPvrZ2POOATsRfMi2HI5qIrBA9ymcXdqvJeDUEwbVvYZcrnZMbVvQP3xPwOUTgtM65GVxwvEETg8DGVwswQzfZeNrOw89V0J6pcYFvYDRkTzeS0KYCiWCZgeg1zbU43QB4hApbpG0w2+8M89sxyeP4BggTXd5xMxTxVMru0frC956zo1z7IYd3OZGQ2y7QT6/ZDd1j3m17ay2tX3M5kPMxn143o39XtP6KSP+4UYIHi8inNa0Nsm9K85nB5zwuLX2CvC+z1cc/kybMQBNndd9Mkszltipw2xZMiLiQMlPVpYOKhw+VlKxdKe4HdXuOY4UUZ/3oy5WkRt2ZIxwVR5IONbUflgDa9SQrEmbtUGU2ynFaQRMlVLxZ1q7NaQN60xrI2tbjbSgQqnXkdSsgBeJjHkhlWpIaVYc7kuG0TNSk6eZEXe85lzRFWo8PlG+NPPS/l/ZhMeV7CQ/XbIqPwDNlceqP0Vgb9fg6roFM5ypvsploq+rU30mi/5bNVlvXcdsWdTMa9bGZeu4Ikmh5kTximgAMKSTRTO6zDlfGjKwSFnapmvJGvWTovOofL40t7UzcEVy6Ab5OLB+PsNfA3x14lJSXJoU9cXFxUVFRSUhL8mpycrNVqz15NZz/yE7EXggStc8fC9JejCS+TH9WWdX8AAXGhECEXUl9fBoqS6sVoPDkCh0+qE0O2/m/5rBai8UYaLa1RKjUAVqzL7WvHGP5E4vAV/VpIevX7kW6aBauR+LSIO7f6SlwRe+OQeukPACL8IHsCtQ8Cgstj4eovPn+geghDxg/Njb4ElVQEAemcYTARe5sfsf03wF4h4t8bC82n1MPXrO8VVi2fkucYVhT2696BO7ddgV18rBnWQQUHfwDpY07cSKO1k03PMWJ4D3JZUsOKy+MbYgMuV3mfJqlOci2Jci+beSONdjeLQRBM1wzpctoUROG0wwU6AZRcRjvyg1yWfnIzgBlqsJd0sR1WA+cS90IAF2L7WTEXHcl/L+amN8muxpFw5XyskFtkFBhmKwe0UJHnWTEXa28QGYVvHNNnNMkIwmmKZAbr7fhDIrlqcPzw/JRRPV4/1oc0AodPqBGdoxhQWD3/Xb/+zbHX4eHh/v7+ysqK2Wy22+37oY/dbjeZTEtLS5+jUT8Re/n8CEM292PyMSX8+wTAoDwpnBMMBlUhj2rYaS9HE5iK+atxpMgowFhvIRrFupUx3hR05j50esNMRX7NZUFd42AwOL96LKAcGYXvpJhd7tNUtQ5dXhwmvyYCh0dLQ6vUfujGujdG4PBZLfKXEyb0gL/Txt8AewWDQbpsvnZId/pf3bCer1m6wF7o0/uZsJc/gBAx0gxXYghTi3swTAt738+p1MIuVdhAMcKd3NpzJtSIrsaR+pkT2Py1q3GkNpJpfs2+vuOAhHeQZLd1iA4LkVH4yn7teYVG0Pr5G2+cC/byBxCKeAab2Xo9mZLbpvgphdqIN9zLfiOfKbZK+NLUHCZSlPVqHuaxUMQGzeiKu9XpTdImvCFsfL6bxVg/P4EuKBiLpoVdjiaIxpfPaw3hb/zAhN3a3xx7eb3e/f19Ho8XHx+/vb0Nsdfa2lpubi6BQAiri3P5+onYC7q8YRmvtzPodOnc7r47gEnkhhz23X2XULsM9VflptW6Ed3vxdyGUX1xtzqzRZbWKL2WRCEKZ+BEtmYYmCqif3kdwLIN5Kp4fEsbB3Mr9oo+TVyVkCya2Q9J2EN+uscX2Npz7h28+nXwu8HggcNDk86m1EtQy9W8DuXOvmtjxwEFS4NBkJOV1fKGzlAXzQJz6R0u39rW4WEoyxIJBp1u39r2YVjS5bm0xZ9WyN8Aex0dHfXQrCeXDsP2JNaKR3lTF9gLfbTOC3vBlDe3x7+153S4vC8Nx5bWD9jK+aQ6cVG3an7FDmPGMLlsmDvZiDc0jRmeFXHjqkV1I7qUeslv+WyxHsS9GkYN38QSm/AGbG7yzTTaSyr9+s4h6Muvs5sRBFnbOqwd0UeV8wfZtl27C3qCrW0dOt2+DwqFohVy7htwMNneA2mSp4tZvPWn0Yrd3HXaDz3YzO63Hn/2neeCvaCl+oPcYxT1Wz67ol9b0qOeX7X30i3lfZpHBWwIdKqHxutH9JFR+B8SyWPcyTHeVHy16HkJr3JAm9OmKO5W53coc9oUaY3SMIeStEbp+ToCBQKIZXY7t12R3iSVGVZRwZEz1h5YugmAtfVtOwjAnoLb4JvuwOFZ33HARfBTDj7jr38hh/3NsZdAIIiIiPjv//7v//2///e///3viNAnMjLywYMHOp3uc7TBR2MvIJPjBzI/h05vF9VyO5NxNQ4ou+S2KxpG9Vmtcrp0Dl1Td3v8Au1SQq3oWTG3h26ZWdoDloh4Q/2o/kUp70Eua4A1cSeLARcmQIZUMLi0foArB9SQayHJeOsskFRdWt9vwht+zWPFVAoZsjk4+KLVsrHj7KSanxRyoisEVMkspMNb53aKulS3MxnJ9ZLGMcPvJbwnhRyyaCaxVvQgl1U3rJtdtsMVPZ1t40khoHn+lALovZs7Tr8fMU1vwdNfIjM1cEDaLuvV3H2H2Bh6JV/4xgX2CoNoCTXiC23VD3pogb3j2n4nxVzWpx5gTcRXg95UO6ybmN/BEt693oDMsJpSL7mXzWzCGwBlvkV2O5OeXC+hSed2D9xISMPljzJ+fLWonWyCxPmfU6hVg9pmguFRATsG43MPr9AL7Sb9Aa8voLasZ4ECGWW9QD31c6e/nKWK7IeeXob1WTEXV84nCqedrg+LncOKbcIbHuaz46qFXNUitj7PcgHvOuZcsNfR0dGh09tCNN7OoH8bR7yVQa8aHB9kT/SzJka4kzGVwochKFbUpYqpFCytH/DVi7ntikG2LbVRejuTntumGGLboisEURUCinhWaV6DRfWFaux6MuX7BPKjArbCuHq+LItXM3Ov3+3xf0TJTpePKJzGlfN/L+ENsm32w7dnAEDvB4l+JalOfD+HWTWgRV8u72qUv9D+vzn2CgaDNpuNy+XW19ebzeaJ0GdycnJzc/O9Sl0f14ofgb0AB9zt001uEIXTuskNOOsVjS+3k0ydFDNROF3QqcxqkWe3ymEXgrGxX1KBXGoEDv9tHLGfNaE0rQ6wJxrHDC1EI0M2Vx+CayBTJkQqN0xvkUQzTMX8EMc2ypuaWdrz+wMuj68Jb0DZHt8nkKT6FTQDORBAeuhW9L+XQooyq1uH2a1yNHj2pIhDFE7TpLNoVjNkku2Fsml8voBtYXeEO0mVzG7vuYC0xAbwUIKnX44mpDdKsRrcWJH9j6v8/9RZF9jrAnt94rPndPlGeZPF3epeuhV1rcb2Jvi2s8xtPwopCFyJIaY1SlElJ2h+aprZtsxuk8UzNOksQTClMq/JjKtdVAtVMttMOO7pqEp+MAhmeirLGkU8Y54F52KFml+CsPnV/f8sRxPK4h+PQlF4jupVgvYZK9zh8sJYERx2vk8go3aKZyzhXYd9OvaCymezK3ayaKYZb6wb1oXUUDX3shhNeAPWGKp2RD+ztCfRL7OVC+Lx5d+Lj22akurEibXiy9GE7+JJo7wpunSuYVRf1qsWji+PcCeHODbL3I7Xe1ps6V03+Jn2I0iQo1pAZckuReFJwhn0vYP9USQYNExtoVLhYd0Be+Rfcftvjr1gk3i93vn5+eHh4bzQZ2xsbGtr6zO11odiLzj88dWLf5Txv08gPy4AyhFOty8QQHbsLrZyvmFUn9Om+C2fnVAr5qoW3B6/x+dvwhuuxLzy2cWV86Hp9bVEcnG3WqBd6mdOPMxjfZ9Afl7C4yoXxvhTT4tA/OlhPquLakYpHSubB9jFzUtRhBAB/9W08sDpefJadxEOW1ktMqlhBeqgwj0/JlHG+FMNo3r0YiJw+Ps5zKnFXVi9ocEFgcN3AEGE40svtSLhud/Fk0K59HT4NQL3ylwSdXh1eYCi0WdqpvMt9gJ7XWCvT3yitvac3TRLSS/g67yrN3l9gUG2DRLwISsIuvuhnbEDmKvKryWCYYQmmd3ac7k9/t199+6+CyI2tK+9dof0QkPGa4nklAZJzZAOK3N/K53+UkIZGv994t199Okn7SCT6sQfZAe5uL7/MI91M52WUCN6Ucq7EkOoGhz/0DWyt17/WbBXMBj0+PwwQTWsEH8AWOIap7biqoU/p1KfFHKyWuQ06dzdLEZ8tSiuWog2VgQO/6iAQxJO38lixFUJG0b1WI3om+n0vHYl1FlMC0l/DXNtL0p5yXXi5c2D01f0wi7pz/kKssTq3sgS+6OM73CBNW5PyPAXXVX0+gJdVDPKbAl7ufw5V/v5fuWrwF4vVVXT0tJu375dHvrcvXs3Li5ufX39c1TrB2Evnz8wbtvI71CmNoKE8F9D3ElU89Ph9Aq0Syn1kvgaUR9z4kkRpwlvcHlAgtIAawI+kcClsVV+P4d1J4tBEs2kN0kTasX9rInYKuGveSy8YLqZYHyM8fy6l82UvY4/b9tdqENFBA5/OZrQRjKho5Lb6w/rIdWD4/rJTewgfiOdxlLO9zGt2O7xopS/uH5wsm4RJKixrj/IfcUevRpHymmVP8xjo0PMTylUumzO5w+sbB7WjuhSG6V02dyBw4N2xZNlfiF7LrDXBfb6xEdxbduRWCt+VMDObJFhk47R3uT2+HWTG3Wj+uvJIOD9QyI5u1WO5WLfSKP1M63RFYK72Qy8YDq9CfgAshTz9WN6sng6ruqNd3kT3ujxAt4C6pNxM52W3QqMX9H++GsuK7tVXjU47vO9IZj8iXf6Qad7vP7MN2mjJT3qk4lHp5S5tedsI5maCcaoCkFGM0gDHOO9x3P2lNKw/3ov9goEkIn5naJuVUGncty2AWeVUMQRypnGV4saQ6mLaEJr5cB4Up34RSkPuyAA9YNy2xSQUN+EN5xspqtxJOAp1KVqGNUXdgIX9ggcvp858SWsGmMr7ejoyOsLlPQcOx1F4PCZLfJDp0dlXsvrUJT0qifmd+B0HarOQlth+Fii3SGszL/i168Ce42Pjz9//nx5eRm20Pr6ekpKCpPJ/BwNdnbsFQwGdbYNVKHucgyBq178JoYAvW58/sDE3A7qDXI5mkCTziXWita2HAgSXN487KSaM5plL0p5I7zJmkEdUz6PHnwpmjDMsXHVizfTaXkhnUaUkPtLKjVkdw0G0wCCMOXz3yeQLkUB4HUnk7H8JmaS6ld+SADWJZejCdeTKUvrBw6Xr4VgTKgB9N7UBklirVhlXptZ2ntcwLkcQ7gUBSwjR7iT7xocD53e6sHxb+OIkVH4b2KJ2S3yxjEDzM28EkNMqhPv2F2rW447r91kL0Xhe+jWM/IzYB7AxzH3P5HPe4G9LrDXWQYTSBzG5pqg84rZlb2b6fRIHL4Jb3iQy3oppnopCn/1dW8KBoM89eK3scTGMUNslfAK6GuElHpJXrvim1jQm67EEFMaJDrbRivRKNAuYYeCAZbtp2SQcwNDI5ejCT8mUWaW9hwur0CzWNytKuhQ1o3oYiqFpb3qpDrxlRhQ4LexxMIu1Ysy/oMcJkyIPssNfo5jrLM70EAJXvnC2v4H/YrXFxjjTT0v4VX0A0L63SzG9OLexo5jfccBk40+qDTswadjr2AwOLWwCxvi21hiIlCf3oIJRmE2PulNssRaMXTLTa4TtxCM38WTBtm268mU0GMAFhP7mRM/JJF/TqU2jhnGbRtpjSA4ejmacDeLMcAEVJNfUqm3MuhSw0rjmOF2Jr28TxuBw2c0y1CKMPbK/+PbC2v7PyaF7i6acC2RbJ3dxoq1gqzeBWCo4PH6F9cPGkcN2a3y6qHx6ArB6LtfLtibgou5H52fgS3q821/LdgrMTFxe3sbjnT7+/slJSU0Gu1zVOvZsZfb409teEV+gqA+pV6SUi95WsTVWNdt8ztYZlUEDp9YK8bzpyiSWfPMVkmP+m4Wo4dm6aGHjEGE08Xdb8wkQNyoQfpdPKmgQ9nLsKKE3D7mhHF6C7IjQ1qjXql+paxX00YyLa8fhNmKe7x+7cRGzZCujWRaXDvw+5HtPafMuJLbrrydSU9rlA6wJgq7VPrJzfVtRzfNWt6nEY4vn6JZGgwG7QceqmS2sFM1ypva3nPZD91M+Xxxt2qQbdvac/l8gWHuJHbe/6yYO3+20dYfQKxzOx/H3N+xuz6Fz3uBvS6w11kGkxO5JsApCJ64d+DOaVNE4vDJ9eIx/lR2qzyuWtSEN04v7QYQxOXxxVUD9+vCLlUryZTbrkioEXWQTaO8yZIedXSFIL9D2UI0jvGmyKKZzJZjRib00h7hTlYOaGuHdQk1oowmWQ/dShJNt5FMjws4uHL+AHOiuFuV0wZsuS2z270Ma0yFoLRXk9UqvxpPqhnSoQGbs9zjuR/j9wcMU1t1I/oWgnF2+VW+59l/ZTvUtUt7Nb/msqIqBD10ax/Dmteu+L2EN8S27R+6z15U2JGnYy+P158f8tW9lUGvGdLBETizWaYyrzHkc1j5jzuZjOxW+bVESmQUQN5s5fwwZ7KDbFKYV3PaQEM3jhl66JbMZlkb2fy8lIcr5/cxrK1EU83QeDvZ9LSI+7yE10O3aKzr3TRL/aiuccyQVCeOjMLjBdP/WbpeWI2hXwMBZHbZ3kIwNozqLbPbDqcn8c1VyPwO5dL6fhvJlNeh6GVYE2pF97KZZb2a6UXQHdBy3rUB7ds/Oj/jXcWe7/6vAnvNzMw8efKkoqKCx+MJhcKWlpb79++3tLSwQ5/zrdCzYy+HyxtVcexCD0bJckFryJNRa11vwhuxvrYRODyunI/nT5X1agq7gGb93SxGBwUY62Y2yxrHDFifxwgcvm5EF10h+CaGmNUiT6w9Xlx/XsKzhaYU6F0HEMTh8qFLjeh+uIEgQY83AEkDTrePq1rALkQ+LuTUjuj0U5swSdPtPVPOSyCAADehwKsuFEAQt8cPY+OhBX4Llu/yIIc5+Zo9FnZt2K/BYHBt24FFq2dn7gcCyDDH9il83gvs9SnYK71RZpjaQiNA2GY9uQ0lA07u/0/tObvGBEgrxuSaRODwL0p5U68CiXngAAAgAElEQVQNEwMBRGvdyGqR14/qf04B7J+YSuGtDHrlgHbvwHPo9D4r5j7IZaU3Sa8lkh/ls9MbpeV9mpvp9HvZzLhq0cM81vVkSlaLvJlgSKgRoeuGcJWKr158VMD+KYUaVS54Vsz9NY9VPwqkCuBhl0Jkg5vptMwW+eqWY+/ATZXMxleLbmfQM5tlcytvkVn+k2sbCWnW+EKaOB/60+s7jpIeNXqzMIYEBzFohvPRq3KnYy+X25fSILkcTUhtkGCpHdGVghaiEcuru5FGK+xU/V7Cy2yWlfSo46qEIt0yRTJbOaAt6FRGlQt+TqHWDesGWBMoP/1yNIEkmhniTKJ7LkXh+xjWxwWcmiEdQw68pEp7Nbv7H48sP7SeP/R4EJrygdTaYDAIWH2lx9kDUCd8kG37MYlS2qtBGcZn5NrD/AxszXxofsaH3svHHf+1YK+nT5/euXMnOjo6Li7u/v379+7de/HixR+hz8dV3LvOOjv2QpAgTTp3/IhEE1iK+fnV/QOHB3C/clm9DCua6nIpCg/mo5WCLqolrlqUUCNqJZlelPJupNGyQqypFqIRXb6MjMITBNOjvMmfU6m5bYowQi5JNPNxw83GjqNuRIcSRCJw+GtJlDaSaWffjb44ESTo9vhPJ4gEAu90b/T4/DLDys8pr1I4I6PwhV2qlc3Dd9U2uh9BgkrzGtpLw5j76GFv3Th0en8vOdaVhj3/g/i8F9jrU7BXVovcPLMtN62SRTOn/1HEs7rJP8OV9a3PyVt3nh17heWaRODwPyZR0M4IV0mWNg7K+zTYuQfMXAkggOL5QyK5qEv1a0gL6koMeKnHVR/DrGdF3PwOZUmPepgziY4bkVH4ZoKRKZ/rplnuZDIg2KoaHH9cyMHis5hKYXKd5FYGXWVZCwQQ+6FHalgRji+tbjnQOdJbb//L37mwto9Vz4JrtegEElfGP0Xg4PS7Ox17IUhQOL50LYkcNgL/mssa4tjy2hXfvrZxS6wFlud57cqEWvH3CaQbabQ+hjWjSXY3i9Ew9io7NbdNETYVbyYYsa4GETh8VIWgYVRfP6onCKbHbRsHDq/X95EaEKff+Ln/N4AgeME09lXIkM1HVQgeF3JSGiTfxpHQZ/V+DtM6t+33nxb6+vT8jHO/wbcW+FVgL4/Hs/Luz1vr5aN3nh17AWUXhxfInJTxo14LaMEhmCScuZ5MiasW9TKsQASlmNfHsHZSzCPcSULIVzWmSljUrSYJp58Vc7Na5Lcy6H+U84dDejBPCjldVMv6jqOHbhni2OpGdGiObgQO/0sqjSSccbp8KFo6+53u7LtaiEbsQHYjjcZUzPv9YN0Eqj5K9SuA7zmmX944OKniEQwGd/fdeMFUepOsnzmxBYQn3vCx8QcQsW55iDMZXwOm8uV92n6mdW3b8d6LDAaDxumth/lvMPepktmzvDncHn/ya+UL2MmLulXoYtB7f/ro6OgCe30K9spulVvmdtpIpqQ6yel/KfWSUd7UWVrkTzvm7NgLqmhizR5upNE4qkXsGorPH+hjWrEvm+clPMhw2t5zDbJsue3yAdZEepP0QS6rfkTPVS0WdwP6QUazbIQ7GVsljKkUtBKNAyyg+fQ0lJ2jMK1W9GtS6iVNeENxtyqlQWKeBbl16PssAodPb5JGVwp+y2cbp7f8AWRuxV49NF7aq9ZObHxQR/jTqv3sP7S+40C1+2FGUUaTDPXwyWiSOT5QMAz96dOxF3Dmdfv46sWGMT06Aj8r5nZQAE83q0U+CoZrQUGnaphji6kUotL293OYAyxgxBmBw+e0yVuJYFWxemg8682l5BaCMYyyktOqIIlmUhulKsu6zxdY3jhoGNMXdamk+pUv35rTfuAe5U69KOXFVAlZ8vnNXQdIF8tlZTbL0ESECBz+WRG3mWBsI5vWtx0n3y+waTxef/qbdpMfOp6jTfxZN74K7HV0dORwOPr6+p49e7ayskKlUldWVj5TtX4Q9oI5L06XD6pIw0vy+gLW+W0Yifk+gVTUpWLJ543TW7UjulsZ9FaSCZ3U/phE6aVbs5plcBp3OZqQ366kSWf3Dtz2Q/fM8h7QViWBGRUacgfWql0qonDa93rqEAggBw6P23uaiRC8MJ8fMc9sF3aq0NJS6iVoWDuABJnyefTavoklLm+EZzseOLylvZq3no42x+au80EOM7tVXjMEZPoHWDaP90xpVg6Xry4k+gxfKi/fPdt7LrTY0zfUlnU0anglhjD/gessF9jr07FXKIdDfLIc7J7EWvEwZ/L0pvyT/3t27HV0dPTW59/nD9gP3SjEWd92oK/qS1H4AeYE+vy7Pf6Z5b2mMUA9rh3W/VHGrx4cX1zbX1jbbyUaY6uEBZ0quBr1QyK5oENZ3q8dCkXQYY8Ay1LMCejrx1MvYh94kmjmUjShbkTvcPkW1/ZRqv7LY9SWz5IP/qc1k8+PEATT6Lj0YxIFlS28EkOYmN/56Ct5L/aCM9KdfTdc9ARCVqIZbLXrJzezW2SZrwdw2EwlPeqpxT2ZYRWq8FDEM3TZbFGXiqtaxLYLV7UoHF9CjX2uxBCE40tXYomlvZoDh3d54+Cb13G1S9EEpnw+8OYs96Pv+vOdiCBBh8sHYSJ8m1yJIdQO62CgNwKHj4zC143o7+WATPknhZzNXee7LsY8s42tmQ8dz99V7Pnu/yqw1+7ubm5u7qNHj/7rv/5rZmYmNTX12bNnc3Nz51uVsLQPxV4nrwFqMQxzJvPaFfGAb2sY5U3RpLMNo4aiLhU2znw5mlDep+lnWlmK+X7WRFqjdIgzaZrZaiUaf81llfaqochqSFnR+EcZv6Jf20W13Eij4coF6zuOYDC4sePsoVsfFXCS6sRSPXDdRpDgu2w3oBTZ1OJuHwPMvF/KXqCBq2Aw+NKrJPlNb++GMQOWpXuWeX8IjCJrW44WoimvXclRLR46vWcM0UEiP0U8m9Ui76JZNnecYUG1k1WN7vH6AtqJjbI+Tc2wbmpx7yzRMvTci7gXFh6h22fXtYdxr68Be72O+05nNIO478aOY3pxt3po/H4OM69DYZzaCrm8g+e/mWDMbVNwlAvY598fQBSmVbhiFVUhaCWa0LhXTqt8lDfJlM+N8adqhsZ1k5sVA9rCLlXtsA56aV9PoX4bS0SjaE4XSLIp6lLVDOl0k5s1Q+MU8az9wOPx+isHQIoc+pdSLznLxAzbHb6o7RCdyCfQLhV0KhvGgBNAH8OaVCdOrpd0061VA9p3UV3fexdvxV4wlRUdQoPBYCCAbNtdY/zpToo5vekNm7XsVnkT3nAtiVzRry3uVsdUCtpJpkG2raJfo51YZysXYquEjws5HRTzGG+yZmhcY12vGRov69OoLOsU8Uz9iE44vpRcJ0lvklIls9mtsop+rXF6y+X2NYzp0RaMwOFjq4QfvbT63nr4HAegqyj1ozqZcbWVZEpvlNYO60IJngSosTLGn3oXecbvDxintj56PP8cd3SyzK8CexkMhri4uNXV1f/3//7f0tLS5uZmamoqnU4/WR2fvufTsRecH7eTTS0EYwfFXDU4ThBMG6c3SaJpyANDO9WlKELVADCo9/oCfj8gUe3uu6uHxtHA0q+5LNPM1oHDM8qbHGBN1I3octsVqQ3SxFrx8saBxxfopJrRg39IIEv0K5qJdblxNSRD/8ZqIIKA5UKFaVWsW15YA6Q0+NzDTmKa2SKLZgo6lY8LOejkDOo3olV6Ot8FPQxu+PyBl0uB2OWYsAPe9TVE5AevsHcd8K79J5X93nXkyf0XcS8UcqEbF9jr5HMC96B8x40dJ9Z3D1fGnwn5cTlcQGuerVyYWd4L00GwH3paCMbsVnlBh7KZYIzH8L3+KONPLe76/AGn27djd8mNK6O8yXayqaBT2Thm6KZZYNrN9NLeq8sIJdm4PH6/H+RRwvmGy+MLs2H9vYTncHnfdS9/lf2Qh3rg8ODK+D8kkKMrhdEVgqvxpKgKwUerMJzEXggS3N5zyY2rUsPKxq4zELIsVFnWJuZ3jNNbVMlsUbf6eQkPjUjFVQlZivnEGlHIMGd8lDspN65WDmpz2xRM2dyxvUEUvjOkie33I15fAMyQQ36ITrdvYn4nt10RVSF4XsJLrpe8KOUNcyYPnF64ZIm+KR4VcLb23hkl+mIbEbSa1+/zg7fb9NJeLGah/GocqYtqQaPFJ28BSlSEdZ+Th/0H93wV2Euj0SQlJe3v70PsdXBwUFRURCaTP0e9nwv2CgaDq1uHRd3qe9nMn1NpCTXifubEzXRaWoOkvO94ze77BLLCtOb2+NEnbGppF43QRuCAPlAP3QqlInLbFKHSqFEVgmGOzeHybe05n2Aot5eiCelNwOTnTiYjr12x9WZEd3vPVdCpvJvFuJVBz26Vr2y84r87XT4YostqBa5Hpb0aSONFfUvQSj49z8vvB9mOZ49UocV+CRsX2AuFXOjGBfY6/clEkKDasnb7Nf89Aoe/nkyhiGd37K7GMWCx+nMqNb5GJDeuYpnFCBLcd3gk+hWScGaYY7uZfiyFCk/3+gK7++4B5kRhl7KLavmjjH89mfogl1XWq2kmGAeYE6fHPxAkKNAuoSt0kVH4Yc7kh4aBT7/xz/1fnz+ETt62xHYyA44BFuM+eJ4Gb+Ek9traBWD6TibjdiYYJBfW9ou6gMxp1eD47yW8a0mUR/nswi5VdIUgAoe/FIXvplmS68VdVAtdNlvepyEIplMbQMbD7Qx6eqMUGL69DkA+KeScZFAEg8FtuwuapkM8B5O7ff6AWLeMbcRWjGj2567/M5YPJRXRN9d7z9o78FT0a9EKuZvFMExtIcE3AgTvLeSLOuCrwF6zs7PR0dFkMvkf//jH+Pj48PDwo0eP1Gr152iJc8FegQBClcxiZa4yW2Q5bfIeurWXDmS0Huax4qpFbOWCfmqjflTfiDdMLuwGAsj86j5KIwWB2QTyCHfS4/WTxbNoWk2IwqnYO3DvHbjhKACnR8BgsUkKncIicfg2shkd9P3A29GCPvcROPxLCRno/G2a3upnTuR3KKMqBCU96h66tbRXk1wvYcrnT6YKovpGdzIZL6mjagvQN0IQZGPH0U2zlAF5sKVT5ME+R3udS5kX2AuFXOjGBfY6/dFCgkH91Ca0soAd8JdQ5gpTPnctiYxGLNKbZBs7xxELBAlu7bn6WRPVg+MU8QyqQhyBw9/OoNMks3TZXH6HMq9dOcS2pYfEzWFRtzKA80xZnwZbWtgVIkhwx+4ii2d66JYXpbxnxdyXonc79rOSJsNK+/O/IghYru2kmqsGtUozmJSepCtA5afnJbwXZfxR3tSnhPTCsJffj7SRTdhBsnZYF1clzGiSPS06TqO+l80s6lYn1orbyCaY4pNcB6bWqQ0SsGTxGmxF4vDVQ+O/F786EVfGn1uxh7HL/f6AaWa7oFOV3ijtolmKu1Vy4+qO3cVVLdSP6mDq1aMCTivJtLp5eLIq/vwGQn8R6ns1E4z1IX0vmK2F/vetGwgSnF22Vw2ABfqkOokkxJB565F/lZ1fBfYKBAIymeybb775H//jf/yv//W//vnPf5JIJJ/vlXHh+TbVuWAvl9tX0HlMkIdqXmLd8rVE8rdxxKdF3KoBrXlmyzyzfS3ple78tSTK3Ird7fH30K1osu7jAs7qluNkabcy6HMrQKWQKplFp0fXksidVAv69bc8NqTlgnxMp/d5Ke+7eFJuu6KoS/VzCvXXXNaBw+vzB2wLOwk1IqiF/U0sMbddYZnb2Ttwuz3+/dfrkmgNo7re69sOKPEMOWdhsvgo5kNP/MI3zgV7ISGSyHvvFDBIPnamfnrhPTQripzetZFYKx7lTSnNa6kN0ncdA/dfYK/TazsYDB6EbB7QRf+kEBOgYkCL0rEjcPgbaTTr3DZa1I7dHZKeJ9zLZgq1S5nNMvRtnVgrrhnSQdOIKzGEqHI+iJG/fpd/G0dMqQdGFNjS0GLhxt6BO6tF/m0s8UYabZhj006sY9lmYQd/OV+RYNDpBulKq5uHd7MYUAv++wQy922u2zCRfMfu2t13+8Da3ccHTsKw14HDg3VIi8Dhf81lNYwa8toVWPvF70JytXXDup9SqbDpoysEaY3S8n7tw5CnHAq7H+axCILpZ0Xcy9GETqrlbhYjzFvTOrtzLfH1+J9Inlrcdbp9PTTL1XjgL/RDIrlmCKRiQDfJT7nTc2/rE7r27894gMJ+LrdvY8d54PCijDrstYG8MSfgLP7/7L3nV9vauj38H/3ufT+cMc6X8+WOc8YZ9x5CstPLTvbe6Ts9pvfee++9d7lg3HvFBmODCzbFVNPBvcq8kUWEMIQQQgjJtgcjkWVpSVpraWnqWfOZE73ywi7/5NjL6XQ6Pn4sFsvU1JRarTaZTA6Hw0/D/axa6Eywl8cD9jO1CC0gCAOU9chS6yE/L+QvoVrQRlIhX4MwQHqj2OF0mywOknA2rpJf2a/wGRBBVtZ+pcVXCzZ3bJCuvd3FGV1IqhWW9owJFMu/J+87W5f17utZu91gN1XT59OweJvPbCer20kqaBreA1LFerS52GPIL3JpXLeeUif8M4vWTlavHsV5h0GY18daQLwpYUuiiFLuMQksZ9VMZ1vOmWCv3d3dPoYuvUGcVn/cX1W/4mxPHiktgL2Qqjj5whflOfoVC2WoGO0fKMMxFbymQeXaptXt9hB40+ik+uhy3vL6nsaKxwMOfaQB3Ysj1uPGe+jaws7RN7mMvDYpnjuNfvbfiSV+mPZCAmO/JgylNYhzW6VIaX4n4wFBps+F7G0+E2BPhRVz3uWz8Nxpk8Xht+V3/Ar6qOtoGOFwuhmS+fASTnbLcH6bFA1bI0q5R06w+tHhT305ftjL5faU9crQA3JuqzS2kp9cK3yO0r55lEppGVK9ytnXV4sq4zbgJ5JqhLkHXQ7z20Yym4bLemRc2UJCteBSCFDaM4ZIJx7pdKnRb776GCqDCekAe+oU5NdT18lJdjzSzxEGiFCmFwyyvNDCYYCFPDj8DuT1ete2rB0U9ascRnw1X/YjaKP85NirtbW14hMfjUbj135n8vVMsNfu7u7mji2lTvQgkXQrZvB1LmOIPxNWDLEEkL9XOYxmohL5GoQB3hewYN6oB4R49+gcQ3Rpb/KYAvkSwuEAQa/Np4aqXzaGFXPuxhHvxRM/KGUbPo74sBAGT7aIjGvBoViyUA+CXpfbg2VPod/qfo0f6qVrn2VQb0QRwos56Y3iXoZ2fRvCeXD1er2Q+KpGvylQLOmXd8xWZ2W//EoY7lY0IaIE2j6vTTqztINsfyaN8q0LOSvsdRL0k982cvLL+aJqPMnRA3Evv8r/GuwFF7VHvf+o+bJltGc3Sx4kkW5FE17lMJjSeeRGdrk9XVQNgsxgk9bkWmF2syS7WVKPH0frHsPyNHGV/JtRhAeJpLQGcT1unIUqze9C4Hv5cRqllaTev9NDgEHezEVgYcI5ParZDdbIvHZ+C55PBEEvQmwKLWJHlnGRkH8QBnieSTv8FufxgOtbtuEJg0Rp2Nyx+c3i+dXJ8V/9sNfu7q5h3RJRyr0XT7wbRwwr5kwtbEeX8+Kq+PntI0/SqNcj8Y9SKfW4ccO6pR43/iiVcj0S/yyD2kObNKxbirtGifwZmJ93N474zveKeykEElZIaxCHFLIv+fwZbY69oI5PEfqAFnxUGXdEvYJmEF6LwDcPKo8hpB9/gd/oV6vd5efC8jaPabI41rdtI+qVMe2a0eIwWZ1y3ZpUZVjdhFIWYLUOl9szZzAKx5dUsxs2+4EJZavd1YCfQELIN6MJkHn5qYwQvtFVHy72J8de1dXVubm5qamp169ff/ToUW5ubkFBwcuXL69cuSIUCg9Xx9evOSvs5faAhg0LXTKH40ypZzenF7fxnGlkZLnkk+qhS+aQ3hYcAhB4n5QSBUFIA4IpncdxpjT6Tfglw+9iPR5wYcU0JJgli/TL62b0gGtzuBJQ3JEgDBBWzLHaIYFWjX4TISXAppNV/fLbMYPlvWMpdaKHKeSHKZTWIdWW0e7xQK8xPgffhfcFzLtxxKgyLntkgStb/DWeWNYzBtH8U8iPUilFnaNbOxfXDcOv3s5QY+Ik6OeLsBfo9YomDFzZ4vF/wvHltS3rSY4ewF5+rf/12MuvQBD07pgdrJEFgD2lnNmwO/efMaBPQBgJotyKJnRSNLyxJd+/i1ML20koCYNnGVTRhEE2uTrA1DEk8+rZDQiyHCzN6dqzC4OfbRr9Zg3g706GKTx9JqDfpX3NV4vNOcDUvclj3okdDC1ik4WzNofb6hNTgOXQfo0fKu0Zuxa5p4EOeyPaPyIV5NCLq6bsZsmH+btHqZTcVunq5ud1m5F9/RYOYy8QhHKkyCL9kGB2YcXkdntWNq0MyZxsclU8Yeila4XjyzDXwmx1CseXe+naEfWK1eaCUijMDonKoJzZwHOny3vHMpuH78Xv2Xs8SqVkNg1fjcDRJXMI3wCezUCP/yTh7MqmJaNpGHkh/yOFLJtcRY/kfpfwXb56QJAk3Dd0uRQC9DN1+qUdOJfraQaVL18s7ZY9zaD+7sv6gjNz3R5QqlqJreD9Gj/0MofeQdb4hPv3OvDiqgnO8bqEAR6nUsKKOdUDCvXMxkXDnegK/8mxl9vtdrlcExMTCQkJKpXK5XJ5PJ6ZmZnMzEwOh4OuiLNa/nrs5fVC9yFtWF/UNYrnTq1tWUHo44W8hqiTb/OYL7LpH3xw17asW0Z7C1H1KocBs2I/OzvgAUH3sRQHeBLQ4/GnQTic7vTGAzOesZV8eFxzON0C+VJ8teC3JOjdWqoydFE1YcVs2DDuWiQ+pU6U1SzJaZUMCWYnpjcafE7AtdhxOEUrtV6E50530yZLu8cQbsqlEKCbNnnRQuXH9JALG/fa3d3NapbAHu3H/JvROCzXrQWw1zFN/Kmfzhx7wQeCb9XDaVwOp5szuhBdwXuYQs5rk6p8TxeHE3JHdbtBhW4tq1nyRzI5uoLHHl2w+RKHXW7Q7fsVXZrT6Vbo1mqx4+1k9eKqGQ7/OJzuSf1mesOBOz2qjIvEWj5VCd96vQeEnrvoGdWIUq5cu0bgTUeV87KahzMaxTeiCBGlnGaiKrSI/SwDEv2fNxjRcV84k6AalTx4KQRoJJw+LHQYe8EQFmqLj0MorO8FieX4ZgnQMOhTaxxON547fTt2EIFQz9KptdhxLHvKYj0g9gGP/y+y6W/zmN3USbPV6faAqpmNvDbI6iCilMuQzB1Gn9+6sU5SvtnqhJ9lr3IYLUTV+pa1ekAOj/9P06kl3fsySUFQzgHEflnbsqLtesNLOFzZItKBl9ZMb/OYN6MJ2S2SjMbhiFJuee/YkGBmcdWE7gMnObdz2+Ynx15wPUokkqioKKPRCH81m805OTk4HO5b1PJnsRcIQiyrY0wezD4GLsyZ/SUcl9EoXtuywjF2t08wZmPHBqfmniFv9Piq8Hq9urktRLjrcih2bHLPVg+egN8x2/WGHZPF4Xvzs3RQNDBvNKKUm1ov+iUcdykE+CUcl1wr7GdqmwcnmgaVFLH+cig2uhwSOawakKOtimCb4a9JQTr+cs7814uMvdLqxceT4qPKeCm1orHJAPY6Tb/4euzldoNGswPh8Rx/EvDtZrI6VzetH9yaQS80779jtsPTKzDrfGXTYrIeTUZGChfIl25G7dG078QOwiRuuPCphQN3ulCx/I2eXm4PaLQ4kMiE22ew4XC6IdKq1YGQInZ3dx1OdwdFc/1jTCvIN/uWVCNEBpa4KsgxqbRHNr2wvWN2rG9bDxPMVzetXbRJv3HmeQZ147Qh9iOxF1LDfgtIM/mtP/zVJzBkeZG1Rwjz0bxk2rkt5LUZYZTD4/+GL28ARntQC3q9xxPSDx/x/NfAL/lbRvvmjg2umcdplAcJQzktkm76ZEghC8GdQRjgUQp5x+yYWdwu7ZZlNg1D6WUhQBd18kYUPjgUezkUeyd2cGZxZ4Cpy2yCUBeS+JXfJp1fMaLx7vlf6TFH/Etgr9nZ2VevXtXX18/MzMzOztbX1z9//lyh+CRnGQTB7e1tmw1iKUHpSCbT8vKywWCwWD4foD4ee1ltLopIH1oMURO4ssXDGRmwqP2TdMg2IQgDxFbyW4iqd/ms6AqeULHsRGVwwAPlNxoWD/cYjwfU6Dfz2yH6JzSV7vNw3N3ddXtA7dxWbqvkURqlrEc2u7QDv6MUdY7eiiak1osepe5dC2wEAbB0+e0jj1IpGY3iNpKqpFtWhxtPrBZkokLlQRigBhg/ebbjOVfF4co5T+xV1jPmhB63js/+mSyQJUAAex1urzNc8zXYywOC8wZj9YD8aTo1t1UCPV8/oQl8ZA/3+IwXy3pkj9Iox+/ud712pxsxk4bHGTSJ2+MBpxe24TtdojSgxxy/ck79FQS9S6vmetz480xaSp1wYmp9ec3cQlS+yKYnVgsGeTNpDaIOimZtywqPbx4PyB1bRKyW7sZBaQRoYtMfyeTKfnlIETuxRiDXrh0m+rg9kBl5XCU/s2k4OAR7PRJ/PRIfHAIUdY6eWrX/hNjrmGY6sll3d3edLrd4Yjm1XvQ+nwXNPzYNx1cJdsyOH5FRfpJO4nJ5OsjqFqLqrc/PkcCdxqDg14e21i/v0IbnQovYIUXsLupkPW48opQbHAq1461ows1oQtWAYsdkx3Gnfk3YV7x7lkEb064FsNdJmuBbbePxeEQi0Zs3b275Pm/fvuVwOHCe48bGhh/d0uPxaDSaZ8+eUalUEASXl5czMzPfvXv3+vXrrKwsu/0zPKRjsBcIemnDc4iIw+VQrFCx7NczPCDIHl34NR7qQA8ShlqIKoTjdTkUK1Ea4NQPu8Otnd/iyxdnFnccTs/5IDBIKdjlsftUleGm8nq9+mVjiE8qEB7Ek2uFhg3IrWh53ZxaLyrqHMa+C4kAACAASURBVEVYC5dDsfFVUJY78k7zOpchURqW1825PovJt/nMO7EQ0z+qjLtyAv9sOMKPZu6fXKnvbLvaeWKv6gHFgo+zklwrOv6vpFvmcHkC2Ots29qvtFNjL68XUuqCpGQ+JtCEFLH1ywemyeAebrO7VbMbwvGlOYMR6eFer9ewYUmu3feoOXJ3v7OFv5osjj8/hlXgmzGpVoieWNy/049SKD2yzC9auWWyQzqZIXuZQ4/TKLXAOJJDcC+eWN47diua0ICfQETnjWZHDaB4mEK+7hOjL+sduxO7R4eCZWlT6kT3fUqzH9KupaqVjW0bMvEHR86q+uVXw3EAWxdfJUhvFPscPvjzy3uTIV90/vDGJ8Fen2omePZDObMhGl9eWDW53AfGcJvDld0ieV/ASqgWPPa9u8J5A4cZ5Qrd+vkM/qeon5PvAoJeHHsK/aTrpU8+SaPcjhl8mUPHc6epKKdgyJ5SrI+v4sdU8GoARQN+IrdNUg0oNnZsWLYOnfj1IJE07HtinvxMznPLv0TcC65Qk8k0PT09NTVlNu9psu/u7kZHR+/s7KBrnM/nx8fH//vf/yaTySAINjY2JiUlbW1trays5Obmbm5+RonkGOz1QYTGL1cxsUbgNx/v9XrnV4xFXaMvsul5bdK3+QcyWT7EVO1Ot83uwrGn3hdASCW8hEMbnjscP0Nf0bdbdvsUwu6gqAm/JZEE8iXYFBLKFfC9rMDj++3YwfRGMToV607sII4zZbU5t00OqcowPrU+yJshi/QrR8lSHHkVNjukqv8mjwEz9zmjC8gUxpHbf6OV54y95gzGxBrhZ2cSc1okDmcAe32jNt8r9tTYC45wI7EcH4AgEvkzfqEvs9XZQda8zKH/Gj8U6wt+wyFnDwjKdWtxlXxkJu5O7BG7H3nxHg/YNLhvJhYcAqBJ3EfucrYrldPrj32OyPDIcC0Sn1At+POjEMMv4ZAU2etcxots+tLa3lgNs9G5Y4udFM2w0qCc3kDrQr/JYybXCq9FQET7X8JxOS2SFqJSM7uJUNxA0DusNPyWOITnQdZnf6SQH/q49ob1/WfBl17jSbAXCHr58qXfkva1e+Bm2jbZycLZos5RTCEEsKSqFXS7H3YXqAEUdocbYZTD9Qbbn3+XEe9L6+r47S02JzrQBedstRBVybXC9EZxUo2wg6KBLxn+N6KEQ5fMVfTJqwcUvszQwbd5TCxbJ9OsohO/kmqFSxdMVBZdD38h7IW+bGT5v//7vw0GA/J1d3d3bGxMKBS+e/cOxl5PnjzJy8tLS0tLSkricDhut79uW+7Bz//8z/+Ul5ejC0SW7Q53zEG3aViRC9kAijY73TLNak6rJLlWSBHNJqHea4MwQH77iN3hlk2uIrlOQRggpIitnd/6Lm8/Hg9IEeuRyBasASuegIJzUPbflrWqX17SLYup4N1PGEquFbWT1eiZgnvxxJoBRR9DO72w43Tt+XYdZvqj6we9DIJe2eQqek4zqox7OHKA3uWslldXV9HNnpyc/K9//aunp+cryz8J2716QBHAXl9Zz1+zO4PBQDf948ePL1++vLa29qVlgl7vmHYNTT/6NX6IItajeU6+J/ciHM6BnzrxVYKlNbPHA9nbVfRB1sIVfXIYxxze/ZhTWl4z1wDjf2bSIHl3hs6PxH3Mjmfyk0a/iR7BbkThk2qFCJX+l3BcYrXgpY9CbjgY//Z4QCixAIT+FSqWEqoF9xOG4qv4Vf37hNGr4bj89pE2kqqPoUVba1htTtrwXNXAvlHPl3Lt4ax5pPX//e9/P3z48PgKAb1e8cQyGmH/Gj9EFs7q5rc+DOYRpZzsFklKvSinVeonh2GxubDsKUzhgbwBw7r5bd7+2/jlUGwddhyhfxx/Jhf2VxAEVzYs4SUcNLqKreTD7kxXI/Ch0DzjAewVW8HvoU8m1QrRSOt5Jg3PneqlT0aX8+DEL4Vu7eTElfOvnwD28sdeHo/HZrNFRkbC2Otf//rXs2fPZDIZkUgMDg72A2q7u7u3D37+/ve/fwp7eb1eidKAaOdcDsOqZjb8MJN4wnA/YeiXcNzVcNxvSSTWyDzCcL8ShtXoN50uTx9Di8Tn4Xg7QzqPHrK/UTeCpbmsdigjGj4ExNtYMyOGvpcwQFazZMtohy9KPbvxu0+mKLYCUtymD891kjXpDWJkkiW8hMMbWwov4fyeTJpdPBB9PHwJkMCPA1KvRo7uckNVAb/swvftvTiiUAFF3Q7vfrZrZmdn0c1+7dq1f/zjHwHshQ7F/ay69k1NTeim/+c///mf//znFNjL64W0JIpRU2/QVPvmHsMJ7q4Op7sWq0BrLN9PGJJNrs4bTL8lka6G434Jx/0aT8RyoPmaw7sf0+chVr7NtbhqWtmwIPOYx2x/tj+Zrc7qAQUy5/g8g9Y8qEIu80EiCWDpXmbTe2iTDpcH1he02l1ojyCTxVnSJYur5Jd2j5V2y1qIKmRc/S2J1EhQ3k8c6qRotoz7FJG1LWsfU4sgPHjEeJFF20Rtc/xlvnr1Ct30f/vb3z6Lvbxe75bRjp5ZjirjavSbGY3D1z+qz6c1iDObhjX6AzMqPh49uLJpWVg1WXwiFPBEcDd1Epmbux0Dccz9niDHX8L5/OpyeyBTk4+SddBXs+NTGHFl0/I6l9HH0CIteDkMOySYzWiEquVhCrmDrGFK5/d/DcXy5UuwGCQ6G/RGFEQvxhSw4qsENQNy/bLRJ2r0zZ8Fp67SAPbyx167u7to7HXt2rX29na4fp8+fdrV1XV8XR8z5/hhitPl8khVK3AoVTWz4QeYPhjUx1Xx0fC/tFs2PGFIrBFkNQ/rfI6NkJygfBGRqw7CAC+y6B9mH5Do+vGnd4pf4YQDl8sjURpiKnlhxWz26ILd4bbaXLThucRaQS8DEtd+m8dsI6k3tm0I9FlaMyNvM2/zmRSxvnlQ2UObLO4afZlNz2mVACxd0+BEcdforZjB/LYRNOPE7zxdLo9AvhRVzo0o5cBHh5O3efJFtKr+mzymRr95/oNRYM4Rjbrg5Z8Ve/n1zFPPOcJcrq0dezcNSuyqAcZXNizIvQMfBRKyF8yg5/QxhWzdwlZBhxQ9SiRWC4j8mcO7+53qeX6FBw3438PHhQT9TfYBpi6smF3UJVtYMS2vmdrJ6pBCVkajmCLSx1Xxe2jajW0rCEJSzLThubBidkwlT6I0uCAHWK9wfOlhKjk4FPtLGC6rCXINr8WOv8tnptSJiPyZgvaRp+nU6HLepnHPjNLtAXvok4k1gg86OOiqy22V+rE+Dp/tp9acZM4RBo4b27Y2kvpdPrMGGDesm5nSOTT14nEapR4/sb79ed9Mr9drtjpJwtmoMm5em3TOYPR7gnzqVM9tvccDLq6aSntkT9Kp1QOKxVXTvMFY1it7lEr58O/CignWJ4M7BgiCa1vWmgHF5VAsppDVRZuMKOHEVwkEiiWJeiWmgveugAWwp0q6R59n0ihifVKNILaSj2VPFXeNZjYNpzeK0S5MvyVB/uUwVfpyGLZ1SI2exj23Gjj5gQLY6zPYKyEhoaioyG637+zs3Lt3j0QiHV+5x2Mv6Fb0CbsfqW5qtDjQofggDJBQLbDYoBc+NKHeZHFW9MkfJJKuReD/SCG3kdQII/X4c/vSX+FM4JVNy5h29QN99VUOHX43DQ7FskcX2CMLcN7ApRAAU8AaUe8nP8IHcrk8FJH+SRr1t0QSnjv9a8JQeqP4XjzxZTY9vUEcXc6LLOXW4ycIvOkuqqZqQI6Wv0efKghCcXvkvQc6+sjC/IpRrlubWYQSsu4nDF2LgDSje+naU4+k6CN+6XIAewWw15f2GWR7twe02FxIkABZDy9s+6Im9+KHrkfiH6dR8NzpLaMdeaWBYcTrHIbxQjn/gN4tk105va7Rbx7jCAkJ+tsg+w2TxVnVL3+dywDYutgKXnAo9l4cMbKU28/QqmY25No1RDH1wyAgVa243NDA8iaPkVAlyG8faYYywZnPMqjJtaLwEs7VCFx6g7ikS1bcNSrXrcFysg6nu6Jv7Go4rpOieZ5JuxlNuBUz+CaXIVAsza8YD+dF+rXCkV9PiL3gfX2t7HS7QZfbA7B0N6P37dLvxRHJwtlPhYUOHxq2LbloNC/4ZXjOYGwmKtPqRS+y6FcjcMm1orR6MTJ0x1Xyl9fNDqd7dmlnVLMytbBNFMwgbgR344jxVYKSbtmQYBbZJdinwfZ7Mqmwc5Q9utBCVEaVcd/nM4n8maZBZWk3ZK19LQLv47QIYW/yIAwQHAIUdow4nFDQ9MJ+AtjrM9hLJpNFRERUVVXl5eVhMBhEJOxTLfpZ7PWpHWG9hjrsOBKKDw4BSMJZRMgY2RESX7U4fB1RBQslf6NIj9sDyrVrqfWi35JIL7MZhZ2jSGp6RCm3HjeOfoNMrhX64R63BxybXC3sGGkkKCNKuVfDcQnVgvcFkHbLJQxQ2Dma1iB+lEp5mkHNb5d20yYJ3OkjQaTN4UJnRwZhgIhSTg2g+D2Z/CFjfFSzSpfMtZHUw0qDxQZJ7SMVdW4LAewVwF7fqLPBjhRU8VwHWT2iXrXaXR4PSOBOI6PEJZ/W0YWKfyytmos6Rx+nUZ5n0qoHFNum/Ym/I2tJo998lkF7X8CKreQHh2JvRBEKO0fjqyC55pfZ9LKeMWTYCcIAyb6UzOnF7Qb8BKaQfTeOGFrELumWwbLmQRjgXjyxg6yOr+I/SCS9zmXAoqNQqEyxdDeO+HsSKbdVmlQjrOqXNxAmQopYkWVczujCKZ7TX4S9kAsHvV7lzMarHAYyeEaWcmcWt7/LwIWc1dcvgF6vbn4rvUH8exLpzyx6YedoQrXgd5/g9u2YPZ3Y+4lDFJEex5nCFLJ+TRiKruA1EpTNg0qEN3IJA1T2yxNQ9gxBGOBtHhNgQ8pEzzKoT9OpJMFMRd/Yi2z6Hz7V+176ZFKNIL9d2k5WI1Sc65F4jmzRL4r89dd4tiUEsNcR2Mvtdkul0sXFRSjw43ZrNBoikUgikRYWFj5b+1+DvXZ3dxdWTKU9Y0/Tqa9zGW0k9TFS9SDodfrC7589pVNvsLFty0DJ2ftmBqXwHF90Oa8eP347ZjC8hBNSyP4lHJdaL/JTytk22T94af+ZSSvoGIkq4wZhgMdplOKu0ahyXmQZt7hrX7z4UghQ1S//4Bc7ot53wID4DU63wwXldSIvNPCAFV7CSa0TwcslXTKLzfmtq+L4OgxgrwD2Or6HfOWvHhCE59rgcoxmRwNu4kU2/c8sWg2g2DjBdNVXnsDJd3d7wHrc/gvkpRBggKk7Hhpq57aeZ9Le5TPjqiDsFVbMTvl4dwdhgKsRuPy2vWEnCAOk1ousdtf41Dqadf4qh1HcNfosg/q+gNVGUqN3vxM7yPU9hq02KD0cU8h6nkGrw403DSqRJKHwEsh78UvRz+mw1+7urt3p/mDTGV0OZSAl1ghF48sXLYh18uZGtrTZXSVdowigvBqBK+wcDS1iVw8oost5l0Ox7wtY2S2SVpIKneIaVc5rHVJV+qKeD1PIGY3DRP4MWr8+CANNqlBEs/DLxsMUMlr1/hIGyG2V5LdJn6ZTCzuhichHqZR3+aw+hvbiS3P/1bEXHo//rGQX0r1OsvCV2AtOpZ5a2NYbjGhu6UkOfebbqPWbvyfvZ0dfDsNC8d4C1uVQrEC+JNetNhImonxmsZ0UzfjUntK9j+IAzfqX945Fl0MSLDEVPKJg5nIoNjgE+DV+KK6SP6w0+JFe3+QyclulHWQ1LPDtdnvGdetFnaMl3aOqmY0RzSoShb4cigVYU0jQ/nEaZXXTeubX/kUFBrBXAHt9UYf5yo29kC+qa3ZpZ2Zx55hJva88yul2P0ycCCtmW22uY0ozW521wPj1SHwDfuJmNKGoc/SPZDLyFL/kSyOA4+UfxpBRzYp6dqMWO45WcrodM9jP0Gr0mwsrJo1+E63pcCUMW947BnM8nC7PwqpJPbsBsHS/J5ORpJ+7cUTmyBenK50ae8F69MvrFvXsxuqmFRGsP6aKLv5PK5sWNKi6FAJElHC6qJqiztGCdilVPJdUI8xpkeS3S5EZ5CAMcD9hyBfQoqXVi1qIStqwnj26wBpZuByGhTtAcCiWwJ0OKWTDX2MqeGg5SUj1PpVS0i2D5DATST30SY1+c37FdP7pI6dooJ8ce/3v//7v//eJDxaLPUV9fXaXw9gLBCEDadh5+rO7X6gNFldNIUX79g7XIvDZLZKCjhHxBMR4lahWEDx0JQw7s7Rjc7jMVqcHhIAXkrUUHIrtZWhf5dCJgtnocl5EKQfHnSYLZ9GykPDrbFq9mCreM4tVTm8gt9+VMOycYWdUsxpXCUmzUsVz71CyZzEVfJPlgM3Z+ddhAHsFsNf59zr0Eb1eyKnMYoOshNDrz3/Z6fKk1O0rvgZhgKIu2fFkJq/Xu7ljY0jmsWzd+PR6J0S633vWBmGAy2HYkm5ZVvNwQrVgfGp9fGr9fsJQSp0Ijc8epVJEH6Vt1retB0atSHwf40DgDQS9oolltDbNswyabPKL05VOjb3gRnG6PNsm+/E1c/7Nd+ojmiwO9NQwrH9BH557mU3vY2jhx8HvyeTUetHduH1R3Dd5zOZB5YssWm6btIOiqeiThxaxn2ZQGdL5uEp+WDGHIZk3WRw5rRIYe73JZfpFxcJLOHCY87ck0sWfZ0RX70+OvXg8Hv0Tn+XlZXRFnNWyH/baMdn7GVqfVQKbKtKj9WbO6ojfrhyny0Pkz/yeTLoagbsVMxhVzl1aM8EqD3aHGz0PGFrMBthT4SWc17mMLqqmm3ZAjiWsmJPXJo2r5OM4U9nNEkwhe2p+e2Jq/Uka9Xok/kYURCIm8meyWyQwNcThdCfWCJAXXxiZ2Z1uu8Ntc7hXNy2YQtbNaAKcasD3Sbl+u0o4SckB7BXAXifpJ99oG5vdRRXpw0rYb/OZ/Qztzuf4Vd/oNJBiUbc24XkmbWn1M/qlIOhdWDHVYsefZdJiK/l8+eKQYPb3ZPLVCNzNaML7ApZh3WJzuOxO947ZDg87UWW85FrhndjBK2G4e/HEyj65+aPPNCz4jIxa0eW8w3OyZquzsk9+L54I796In7AcG5lDLg29cGrs5fIF9TOaxA9TyIUdI5P6T3pJoQ93wZdhFdk/UsjXIvA3owkvs+ktROWrHEYdbrx1SIUM5ukN4g8qG7djBn8Jx91PHBpg6pbXzH0MbXyV4HEaJb0BSsaCBHLDsD4BEZlqZgPuHs8yaDeiIPsgPHf6ZTYdHv99ChTqO7GDd+OIhR2jRrPjgtcS+vR+cuw1MjIi+MRndXUVXRFntYzGXh4QBFBWCcGh2B8LmEOSWnaXRLXSgJ/opk0yJHPs0fk5g9HtBs1W55u8PbrovThi86AS8Uq6FALUYsfRcoKvcuiyydXZJSOWPdVJ0UwtbLs9UL7P5NxWB1ndRdXItWsc2cK20Q6/tVtszncF+xKCsH4sQsMHQciMBWBPNQ8qZZOrR2aMnlVrnrCcAPYKYK8TdpUz3wwEvRzZXsYxnOEFsKcOJ+ic+XGPKRC5tXvo2oUVk59p2+EdjWZHafc++/N+wpBEZRhWGupxE30M7cqGBdZbttlds0vbMM3reiQkx5rROJxaL6KK9Uaf1yFcMjJqNRImcJzpjZ191Rvk0FC6ktnBkM5X9csZ0nnY+RT59YQLp8NeXq93enEH40s5ghFJYjWkl/ulbLMTnuS5bQbTc2WTq00EZXnfWEm3DI5v+T0ObkYTqgcUDYSJij45b2zRJ10GwuN5N22yaVCJEPPhGUmubNEDQh/9srGbNtlNm5wzGFe3rAMsXQtRNaZdE08s1wIKqli/Y4L8Ls/ter/+QD859kpKSnr3iY9YLP766jtcAhp7QRgCNTsWhAHiq/jHqFgdLu0irAFB79qWtbxn7Ek65df4oZgK3sTUutsN9tInYf5jTAXPL+kdor527vEuL4UAbSQ1bFjm8qVYw9IVH7IXXW6Pxea02JyQVjXKRdgDgnifXCQ8NgWHAGSR3u9x4vaA35dfj26aAPYKYC90fzjPZZvd5ScK+C6fdYooztmeM0xpOiGTSTe/hdb3/yUcV4cbh4PcMAkd9HpNFmcPbTKnZbiPoUXERR+mkMUTyzYHRCaDlcAQqQ44FQk9qhy+QFgf329gObzZp9acDnu5PSCBN43WbHuQSOKNLXm+92Txpy7zi9aDoNdkcRR1jiCBriAM4Pc4KO4cTakT1gKKLaMNIWbB47l2bgv9xIyr5Gvnt+D0eVhs1uUGYYC1N/57vSDodTg9p27EL7q6s934J8dec3Nz05/4mEyms61KuDQ09rI73NEV+9bRQZDs+/Apkpm/xXmevEyPz7TxagQOuZ1yWiQWm2tzx9ZOVr/OZRR0jKTU72UdwttElHDk2rXwEs6fWfR6/ASaCw9HrXyvOBNCxXJ571gtdnxmccdvlNwxO7ppk2/zmJDnCVN3wZNWAtgrgL1OfkOd7ZYOpzuzeRi5N4MwQEwFz0/t5WyPeOalTS9uv8ymI5dwNRzXQlQhqX9ut0c7t9XH0D5JpwaHAB0UVTtJ/TqH8SaP2U2dBNg6HHfKsGHmyBYKOkZah1Srm/4StWd+wnCBp8NeHg9IG9b/mjCEXO+jVMpFtnz+0tpzujyFHQewV1gxZ0S9ElLIep5JK+sZy26RPE6jtJHU5b1jlf1y1cyG270nxOX0aY/DZL7sFgkWElaV1WHH5w0mZJsvPZ8Lu/1Pjr26u7sdDsfy8nL9oY9Op/sWrYLGXru7u9KDhHT90mecc77FKX1RmR4PaLI60GO3ze7KaBpG9ISCMMBvSSTYZ83mcPPlSwXtI1SRHvE+uhyK7WNoZxZ37A43RL3/GNCyO9wmq2N10xpaxL4ciiXwph+mkAs6RrJbJHdiBw/XDAhCticQvezCR5ID2CuAvb7oLjvbjfVLO+i7T6paOdvyv1Fpbje4Y7Y7XR7Dhrl6QA5Hs4JDgIL2kenFvWiH0+VR6NafZ9KSaoVIftzbXIZIsaScXn+RAyG2x2mUyr693WFLWT9vxG90/qfDXru7u1tGe1zlnn/JpRDIpfe7Zwt9URW53FCWAAKOD+87bzDCHfJJGrWkWyZRGm5GEzIahyv75JV98ocpZIoY9bwIwyqnN9CFOF2eLZOdNjyHpFv9Eo7TLxkhCcyPfQa9/SmW4YcR8mw6RQlfv8tPjr0iIiJMJpNGo3l86MPn87+++g6X4Ie9nC7PqGa1oGOkrHdMN7/9fRv78Nmi13i93tVNaxtJ/TKHHlXO5coWYQTm8YA4zhSStxiEATIahy02KJ9xenG7Fqt4mELOb5cO8qYTqgWRZdw63DimkJXbBpl1wN4RDqd7RL0SVc6NqeCVdI/eiSWm1ouaB5V12PHXuQxMIaudrO6maY65mdHneQGXA9grgL2+Y7f0eEDd/HZZ71hBx8ioZvVC3Uew3LkfEccDgvqlncp++dN0akI1nzUyj+NMVQOK/DYplj0VVcb9M4veSFCOT60NsLSxFbxnGdQaABpnkFjRy2x6cq3weiQ+CAOkN4hf+kAY/Ou1CPwAS3cOfjKnxl5w7L+TokmqFQLsKcQA9zt2oRMe2u0BJ/VbhR0jkBZXk3hct35knqbHA9GzemiTlf3yF9n08GJOL0OLKWQ9y6Cm1otS60QJ1QdSqRJrIF1utP3i+rYtrpJ/G8ql2BObKOsZm13aRvrMiGrldP3c7nBzZYtR5dyXOfQ2knr1oIPqCevhTDb7ybEXUkder3d9fV2tVms0mvX1db+xANns6xf8sBdsIuRwupGJ7a8/xDcqweHyNBOVSHzrcigWiYRvGe25rZI/UsiQinQxWza5arQ4peqVbtpkF3WytFtWi4XwFqaA5TPGJocUsfPbR6hivW5he85gJAln0xrEIUXs17mMhGrBjShCDaCA6PkhADxcBodicZwphE3/jS7w2xUbwF4B7PXtetdJSvZ6IaXlD4awFydIDHPeJ6bXacNzGv0mWq1wc8eW1yZF5LUepVK6qJO1gALPnUakyeGAUPOg8k0e82EKuXVIldcmfZxGuRkN5U6W946FFu3pUOS2StGCEVfCDkxZnqT2TrfNqbEXfDi3B4RdCk539PPfy+v1Lq2ZE1GwCVPAmv6Emffhp0nrkKqib6yyT45uO3j8f5/PlGtX2aMLcwajy4fBZha3c1ulaQ3iuEr+/URofjbVJwCG9JnHqRTVzMaXPsdB0DusNCDSSJdCgGaiCvZrP//6/EtgL6fTyeFwwsPDX7169fr164iICAaD4XR+E1Gow9jr/Bv1dEdc37aiWRdBGCCvTepwumHTX6PZIVAsUUR63fzW+rYVYOlgh4fqAQVvbLEOO95J0QSHAPfiiAUdI5nNw0/SqXfiiGHFbFhm+nkGrYmgrOqX12HHMxqHe+naN3kHMhljK/gB7NU2pD4MYvzWVA8o5gzGxBqh3/rDX3NaJA6nJ61efPgnvzUptaKxybWTHD26nNfP1A0rDfFVAr9C/L4GvLRPdxv+NHtZba4e2uSrHPqtmMH3Bawh/gzCZBifWkejpWuR+IKOEQJvOrlWGByyF+cIwgDPMqgdZHUvXRtaxG7AT8Cur5X98tJuWSNhIqIUssoIwgChRewaQPG+gHXDFwb7oBwxpl3zm2GAmPhO95FBmlNX+Fdir1Mf93vt6AFB3tjiAx8Sgmv+TuwgnjttNDuQxwQSZVjd8n+aJFYLqgfksRW8fqYWnTARHAK0DqlCilhwIteoenV9y5rTAr3q308YiijlVg8orobjcJyp8r6xd/nMaz7m8bVIPJzC9UW1YXe689oO+NC/zKYfliD5ojJPvfFfAntNT0+/efOmtbVV7vu0t7e/efNmbGzs1LV2zI4/LvbaNtmRV0n41qrok6Pjuh4QNFmcfPkS9EZSL+qmTdZh+tb+fgAAIABJREFUx2Mq+Llt0iH+zCBveog/20nR1AIKxKwD8l4s4bSRVHjudGq9KKVO1M/UthCVw0pDpM9lCD5QEAbIbBq2+/KVjqnbC/tTIO7lB7yiyngB7HVhu+s5nBgIekfUK88yqMgN/r6ApdFvwoGKybnNF1k05KcbUYSqfvmgT+EPiUkEYYB3+cw2srqsV9ZN06TWi9IbxFTxbH67tLJfThbN9jN1CdUCTCGzi6LJbZXEVfEb8BPZLZIu6mQNVjGsNCCcB6vdJVAsFXWONhOVhnXLZzUvTlg/fzXsBQeN0KD5XjyxBlAIx5cJ3OmlNbNyZqOiD8qd0s5tsUfmYSsCpJUTa4SYQkipO6NpmCLSNxOV7/KZb/OYjQQlWoy3vG+seVCJxLeCMEB2s4QumRvTrSTVCuFWfphKvhlF6GNov3Rm2enyVPSNIacEA/fP+o2esD986WZ/CewlkUgiIyONRiNMPzKZTDk5Oeema/+lTfK9tofzGRGZrith2NmlHXRQ1+0GB3kz1yPxwSHA1XAckTdzI4oQHIoNDsXeiiFo5zZpw3PhJZyYCh6aHHYvnkgfnrsTO+jzFMJej8TjOFNP0ygAewoZZ6+EYdkjC4Z1y/e69q88bgB7BbDXV3ahn2x3l9vTQ5+E+Vjwo+52zCBdMgeHo6x2Vx123/PxeSatdUj1azyRwJu+Hbvnuxzskwl8lEoZEszC48xl3zgzJJh9mELupmnahlQZDcPiieWb0Xuj0M1oAntk/lYM4bLPkJshmQdB796oFYUPDsFeDsU+TCGf1TjzV8NeXq93x+zIbd2fLMYUsjObhyG9U840XTJ3y9cQl0Oxt2MGOaMLzUQV+mlCEenhZPk/kslzBuOm0baxbTNsmHvoEC0sqowL011yW6VvDwozPUwhtxCVA0zdlTDoWXMzmkAbnnuVQ19et6AfTye5g7xe7ywqMSU4FEvkz/iFSE9Szpls85NjL7vdbrPZRkdHo6KitFqt3ffR6/WpqakMBuNMatCvkB837gXbknBGF1LqRMVdsnmD0a9Trm1ZP4h7wdirsl+O1rUPwgBdVE1EKeePZHJ6oxitj/e+kFWLHUe/aoQVc9IaxLVYRS99MrKMG1fJ72PqnmfSmokqlxv0q88f4usx2OuLRoeTzPoF5hwvVJfo6em5ffv22trahTqr734yIOgVjh/w7XmVw5iY3iPagqB322THc6fjKvmV/YqxydXIUm5+m7QeN47lTCXVCsOhYLk6qVaY7At1oEeP9AYxUTDzvoAVUsSmDkMugehf46r48VV7PO6IUu6OeS+xGtnmcij2rMaZvxr2gsknmzu2btrku3xmdoukBlDAQmW12PF4FA8sCAMk1wrrceMN+InwEk564zCeO13RN5beKL4Shk1rEBstDo8H9HjA2aWd4q7RR6mU1HpRI0H5RzK5kTBR1nMgNJVcK2wjqZJrhYj0V3KtaHXjlPFLjwecNxiLu2QpdSLO6MJ39Pr7ybFXVVVVTk5OSkrK1atXHzx4UFhYWFJS8uzZsytXrkil0m8xQv242AuuDViiED3VCK/3er0zi9t5bdKMRnF0OY83tvgCJckThAHaSCrYHhsiSFbxHySSbkQRnqZT67DjyGgIj4DPMqiQwWrHyPsCVnQ5pMv6SzguOARb1DkK8wa+Rbt80zKPwV4glA26Mzm3dfzf1MK20eIMYK/D8TP0muhyXi9d+02b8ksLD2CvT9WY2eqsx40/SqVcj8Q/y6D20CZtdhfsAi7XrUlVhuV1s9nq9Ingbz5MpZR2y+Bnc0gRO69NmtMquRU9mNMieZW7558Bjx6YAhYyRZXRNOwXI3mdy8hu2fP+e55JW9uyzhmMaOHWMxxn/oLYC25ri83ZMqR6jWqXWl/GOgJwgzDA+wJWcq3wfsJQbqu0dUh1KQRIqBK0EFVp9SLxhEGug5j1yumN8t4xZJLkdS6jsk8uVCwxpXOYQva9eOLtmMGXOfQeGpTOFV7CQWgq7wtYX0kOdro8dof7+5qf/uTYq7GxseQTH5VK9alR42vW/xDYywOC9oNS8sdcsk842L25YyvqHH2cSoH9UCni2ap+OZIUGRwCDPFnKn1rbkQREqoFGY3iGkCR3iCOreBVDyiQ4POlEKCsZwwSTc1nZjbvy4Zdj8ILFEvf92Y4phKO/+kY7LW7u5vbKk2sFh7/l9UsUUytB7AXGmkdXg5gr+P74YX61ev1mq1O4fhyL10rVa/AilDbJntFn/xpBvX3ZHJGo3hqYXt3d3dj2wbF0St4bSQ1PE15Iwqf3iD+M5P2JI1aj5tAjzPNg1B0BH7MP0qltJPVSLr0pRCgHjfxOI0ShAEuhQA1gAKWGCzt2TcsOsNx5i+LvTwgSBLOXo3Avcymv85l3IomdFI1DfgDzdRAmPgjmXwJA6TUiUKK2ME+QcdB/kwPbbIeN/4yh3E3jhhewmkkTDxN3yMF3okdBFg6q93Fly9mt0hS6kTJtcLMpuF2svplNr2yXw4nPAaHAATed5soPMNb7CfHXmdYUycs6oJjL6/PnYM5Ml/SLcOydZtHmZ0hVwrNQtpcQsXSAEsH8R8/SkJcwkD4icifKeuRPc+kvcphVPXLM5uGAZauom/sWQb1XT6TyJsen1r/IDP9Zxatql/e4xOpf5pOLewY6SCr20jqmApeVb88r036JI0aWsQe5M185asMctrnv3A89vLZx/IOIwn0mpNnGgbmHM+/fY85YiDudUzlfLT6cWlmNxsJEwBb103dMyKDwVNpz9j6tq2DrM5ullT1y4cEM/0MLaaA9TiNUocb72Noo8q5pT2y8t6xF1n0N7mM5kFlM2ECHV/ppmlgd41XOYxmoko5vR5azHmWQf2g4TlvgAi+IOidWdwp7ZE9ST/jceYvi712d3dNZkc3dTKxBiK/Qy3L0k1MrTfgJ/7MpL3OZbST1f0M7eM0SnaLpHpADiVHM3Qzi9s1gKKib+wPlE5bTAWvqGMEFvH6NX6IItZ7PKDF6gRYutR6UVwlv6JvrIOixnKm+PLFN3lMuHCT5UfyzP7UDRLAXp+qmVOuv+DYy2p3Nfv8Si+HQrT35FrhltH+qUt1ujw49tTdOGJW8/CrnAOR/+cZNKJgJqqMm9MqzWqWZLdIynrHeuiThg3z9MLW7NL22pYV8h0y2nTzW42+d6D0BnF++0hW83ADfmJ53by6ZTVsWLZN9vkV0+qW9YTWb5861e+7PoC90DgSXg7kOX7fPnlxjj6p33qQSPolHJdYIwj5KMoF46fHaZR2kupqBP5KGO5uHJEknDVZnepZaCrqXT7zfsJQfJWgok8OsHQMyXxumzSvTcqSzsM5OpdCgLBitnp202x1Lq+bl9bMNofb7QZXt6wLqyafSTOcWwXBL7PVeebjzE+AvSDvELsLLb12wm6zsGL6PYl0NRz3SzjufsKQULE0MbX+Kode0Tc2wNKV9cjUsxsQoX7HNr9iWlwzu9we1cxGVvNwfrv0WgSkiAv//Zow1EnRwGuiyrgrPqVTWKxuZcMyv2Jc3bRu7thcbtDhdC+vm5fXzXYnJNmNnKfbDRotjrNVD0EK/6YLAex1xtV7kbGX1+tVzmygeVr34olom+q9scr33+7u7sKq6b0vKxhTyMpsOuAZl944LFWvRJRyHyQOtRBVmU2QoFdpj6ydrE5rEAnkS3aHSyBfiirnZjYPw77al0OxV8Kw0MR/tcBk/SbiamfclicuLoC9AtjrxJ3lJ98QPYZ4vV6Hy4OYvb7KYWQ0ipHnbhAG4gChJc6jynlGs2Njx4a2wb0ShhtgTXFkC3C85HUuo4+hTa0X9dAnizohmnZZr2xhxXT+bso/Ovay2ly04bmwYnZMJU+iNLhce6aKcAf1a0ek18LAqOCgY2NitaCNrE6uE9bjJl7lMuKq+AIF9AhAF7K0Zi7vHSvtkd2L3/eyfJfPHBLM+hTaxlc2LLC0PRpaIcc9vACC4NKquXpA8SSdWtg5ol/2Tw47vMuFWhPAXmfcHBcZe4GgVzS+fB9l43o9Et9J0bh92YUgCKUQq2Y21LMbJovT6/Vq9JvweHcpBGgnq19k02/HDN6MJvyZRSMLZ5NrhQMsXWmPDK2SGlPBi63kXw3H8caWfo0nQsQLDNCAnwgtYqc1iLNbJDEVPPH48g/K6/pUXwlgrwD2+lTf+Oush5CW0zO7tKOa2VjZsExMr2tmN5fWzIhi8yUMUD2geJvPvB07eDMKGkb6GFqEyRCEAZ6kUcan1s1WJ3tk4Xkm7UYU4W4cMaaCt7ljM1mcFX3yB4mkaxH4N7mMAaYupoKHwLi4Sv4pFAe+sml+aOwFgl6KSI/QcD+EEqWqFdgUwdeO7vkV4/yKcXxqXTW7YfQ9Drxer9sDrmxalNMbfkqQL7Jo/Uxt9YACac1b0YTxqfUto31h1aSb35KqV6YXt0mC2XaSOrNp+Nf4oWsR+IcpZCxrymJzWmxO2MNROb2u0UOBzM/CL8gBb8uaWi9C+kBYMWdhxfTZHb+y0c9w9wD2OsPKhIq6yNjL6/UurJrQWYdP06lj2jX4llvdtJZ2y94XsNIbxQBLt2W0b+7YkKShe/HEsp6xetxEUq0wv10aVcZtwE+Ixpdah1R3YiGMBf/9lkhKq4c0JiJLuekN4ueZtD8zaSXdozWA4s8s+h/J5Mym4Un95sVxPjmT5g9grwD2OpOO9KMU4vaATpfH7y622l147nRIEasaUGQ1Sx6nUZ5n0ir65M1EKM0NHh/uxROFiqWUOlFijbC0RzbA0u0z5TFAjo9h3UFWr29ZFVPrHWQ1gTe9vG72QIfyGi0O9uhCC1ElUCwNCWbR75D3E4aY0nk/TZxvXZk/NPay2l2hxXumTHDTJNdCpoq7u7sWmwvLmsKydTmtUCM+y6BW9I5tGe1uD6id2+qiapoGlR0UDdKml0KA8t4xrmwRzUsJDsXmtUkpIn0tdjy0iH03jhhZxiUJZiem16cWtknC2aZBpUCxbPkIs5ZWzVAul6/PfADon9U7BUGvQLH0ezIJefTcjSMOCWa/VG31W3eSY8oPYK9jKuc0P11k7LW7u+tye6SqldR60W+JpPASDlWkt/nuN7cHbCOp3uQx8ttH4qr4KXUihW7d4XQrpzeyWyQPU8jv8pktRFUtAAV44azg27GD3T631LtxKOyVREqrF92OGUxvEPczdYk1gsQaAVWsR26SSxigpEtms7tOU7kXdZ8A9gpgr4vaN8/4vEAQXNuyDrB0LUQlPETAkQZYyP5xGuV1DqO4axR5MAeHAANMbUWf/FkG7UUWvaxHltMieZRKeZJOvRlFqMeNt5PUr3MYj1IpeW3SWqzil3CI+MWRLY5PrUtVBjx3GnYtg2MhIAjZVrrcHtbIPNrc5kEiiTWycM7Tjj869gov4SDABTZMtDsh2QXZ5Go7SY3OW7wUAnTTJo1mh2h8GWKYNA/3MbT1uIkX2fQn6dScFklum7SLqkHrfQSHYjOahttIKiTq6TMqYKlmNuAWtDncCFZ2e8B63L7W7iWoz+iQX4/swfAcDpLxGoQB9vgznh9GITKAvY5s2dOvvODYC44br21Z1b7pAJfbAw+dJosDU8iqx0/8lkS6GoG/EUV4lklb8r1xLq+Z+fKl7ObhBsLE41Qofxv+uxKGja3g9dAnYZ3DnFbJ2zxmfBU/poJ3LQInURkep0HSPtcj8Y/TKFjOFDIcP06jrG5anS6PxeY8/gY7fTOc754B7BXAXufb477b0VY2LC+z6TejCfCcEV++pwvjdHnayZBCRHHXKNpKKAgDhBSyGvATWc0SgKXLaBQjek5BGODPTJpQsZTeIM5tlea3S0nC2YRqQVqduNsn6ZRUI7wTOwixuROHOsgamx2KysAKn6ubVjRRLKFasOqjaZ9nvfy42Avip5sdnNEFOMEwCANcDsXKtWvwbKNcu9pDn0RjpiAM8CaPqZ3bah5UPkgcuurDxxGlHAJvOrtF8jqXcS0SmkDsoU2m1okSqgXXIvCQ+rx4romgROts344ZPDI0ZbQ4nmfue0wFYaAsCqvtiPdztweENOFc0GNrY9uW0ShG3IciSrnL6+bAnON53gIX61gXHHt9qrKcLk8vYzKs+MCbUB1ufHXTIh5fLu6SXQ7FJtYIw1CvStciIQ2e5DrhIH8mp1X6JJ1a1jM2yJvOb5Py5YvpB0m1KXWiqLI9fkZ8tUA5vZFcJ3yTx+xnareMdjQl8we6eZDKDGCv88FeMRV8gDXlcnvsTvdn/xwQsP/mL8F/KY0Jl9tThzvgUQGx430J/x4QZEjn7icMxVbwk2r3teYvh2JzWiTwwJJUI/DnaNcImggTVyNwOa2S6gHFi2x6Sp2QI1so64Zkx+8nDPkSdCDh5RfZdOXMBjT16PuAoHdty9pIUL7JZTQSlGtb1vOnkP6I2AvNTy/oGGGPLmQ2itMbxaqZDfg12OX2+OYrhJnNB5KrBli6VqISTe29FoFPrRchmCm0mD3InwktYkeWcqkiPVe2+DafWdozhg6GPUmnSlQrfi0FA77MpgNJGOV9cr/URRhstQ6pXmTTIWW4+W2X27OxbWsjqd/lM2sAiKrvVzIyPl/MhUDc64zb5YfDXnDein7ZKJ5YRgtAB2GApFph06AyopQTUcoJDgHuxA5W9svhaNbdOGJYMbukW5bZNIy+IRNrhIO8aeH4Mlr1OAgDvM1jFnaO3vARbAncfde2SyFAC1Flc7isdtfk3Ob41PrxkmNn3FpnVFwAe50P9oqt4A/yZoTjyxmNwyl1kDX7MX+FnaNn1LzHFfOXwl42h8svUfFpOnVtywpX0I7ZUdgx8lsSqYuq+TOLdjeO+CyDmgK9m03HV/H/SCb/Eo7rpk1iCllQyo5vKCCLZi+HYV/l0PPapEhc/NeEoQGmLrNp+HUuI7FGkNcmja3gvc1jcmQLM4s7I+qVhVUTHPlwu0GzzQmnCh3XSN/mtx8Oex3FT2dPL26jVRucLk8DfuJ6JL6Xrv0zi3YzmnArZvBtHnNxzVSHHf/9o6ptEAa4EoZNqhGk1AlvROEfpZL7GVo0c7+Pof09mVTRN1bUOfogkXQ1Avd7MqkeN2FGZbh7vV6Xy7OwahpRr7BHF97kMe7EDt6OHXxfwDKsm/0azWx11gD7XP6n6dSphW14Gsfy/fqA30l+0dcA9vqi6vr8xj8c9rI73SThbFgxO7lWCBE1Pk4pBocAHWR1WAn7QeJQSZfsWgRkoR1fxW8nqROrBa1DqoL2kaRaYXaLBLb0gicif0si5bRI0hrETWgt1hCgj6Hly5d66JMK3Voddhxx0Q7CAK9yGFML23XY8RdZNJj2sbTqf+N9vt6/6xYB7HWe2IsrW4yr5B8+ot+ajMbhc+gUfyns5QFBumQOzY6v6JXDhFF4KnDH7GBI54l8SFcZYOuqAUVIIetePDGsmFPYOfo0nfo0g6qc2ehn6rqokxPT6wLFUnAIkNU8/DRjT9w8CAP8Eo5LbxD3MbR47nRWs+TX+KGIUm4zUdlGUocWQVYzMRU8zuiCw3lAE+Ec2trvED8c9joJPx0EvRKVIaSQlVAjaCRMJNcKa7EK/fKO0WIfEsyg3TNvxww24CcKOkYSqwVk0awfeyyyjFveO8aUzqtnN+iSueZBJW9sCU6fR6rR6fJwRhdiKnj34omhxex2khpu9OV1M3goYj29uP08a39eEs7Q94uNISX/EAsB7HXGzfRjYS+v16ue3YQVv0KL2F1UTXqD+FEq5SWkkifvY2hhC62YCl5539i7AlZqPTSd/yyDVoNVNBKU+e0j+e0jR3DtYyEjtrIe2Yss+rMMSPdLPbu5sQNxvBxOdzWgQGOv2Ep+G0mNvPVewkDGID9Qusru7m4Ae/nhnqgy3rfQVoXjXgHsdcZj1pcUZ7Y6uyiaD4GQx2mUDyGNmcUdP5KAB4RSIF1uz6hm9U/Uw/JdPjO/faS0RwawdGarE5oR9oAmi6OLoqnDjSNTVzD2Ku4aJQpmMpug6GZJt+xO7GBUGTe5VnglDAe/44WXcOCwx5ec+xlv++NhLy+kMXQ8Px2KjW1aK/vkUeW8vDbpIG+aLJzRLxuNFjuBNz0kmEmpE/2RDKVeNRImclokt6IJzzKoeO50RCkXoQJDym3VAoVuzWZ3udxQZ4CyYsF9QVQYqc8ZjGiWy4tsumxyFaEg+7XWzNIOWpnyRhShmzbp8qkj+W35o3wNYK8jWsput1dWVorFYgR9r66uRkVFKZXKI7Y+uOrHwl5uD0gUzNyMJgRhgNIeWWQZtxar6KJqoFykNEpKnbDFZ4N6JQz7KJVS0D6C40zdiydCeSgs3bMM6u2YwazmYcRe/pLvlmsjqeOrBNcjITZA65Aqq3n4ZTb9zyzaiHplcweidmnntm7FDMI3anAI0EvXRpUduG+fZ9JMlh9JfDWAvQLY6+Aw8NN+g0W85gxG3fzWtskB+hhYh6/W6fQIFEtp9WJExPxu7GBlnxxTyHpfwNox2612F7yvw+lZXDPXYvfT3B4kkrqok3+kkK9G4G5EEV5k04u7Ru8nDGU1D9+IgkaqIAxwN47IHDlvUQm/y/zhsNdJ+Olmq7OyT34vjgg5DcQSCztGYFLXwqopohSyX6SK9b30yYxGcUKVACH2vc1jMj/6DcDMfY5swWhx+OFydAWCoFeoWLqDypG/GU0YYOo+BacsNlcDytnzWQZNvwx5RqHL/LGWA9jLv71g4PVf//VfZDIZxl4ul6uiouL//b//J5FI/Lc+9P3Hwl5Qpu7E8m9JkEpK9YCcLJyNKOVElXGJgpkX2fQG/MTmjm2ApXubB/lezy0bldPrL3PoYcUcRNTuXjyxnazObxt5nkGtARQUkT6yjJtQLeDIFst6xt7kMpGXodxWqWhi2eMBPR5wdmknvVH8voBF4M1sG22V/WPIZkE++1XnQZHlQ9V8sVYEsFcAe12sHvldz8bhdHNlixGl3JgKHkWsh2Naj6F3OdGbPKZEZYCzdhjSeVhrxuuFVJ3hcSajaXh4YjmpRoAMCJdDsan1orR6cWqd6OpHO5ojWdvnfNE/HPaC7TXXt6wNBOXzDFpZ75hh/QA/HX4cPEIls8OtdjOaQBLO0iXzUWXciFIOjjv9Np+ZWi96X8CCmymhWiAeXyYKZiJKObG+GeGJqXWncy8v9ch2Ab1ehW4dzTB+kEhiSOY/NeMBd5Ju2uSrHEZOq3RhxYRERo4s/+KvDGAv/zZqbW1NTEx8/PgxjL08Hg+Px0tJSfnPf/5zJPaaPfi5evVqeXm5f6EX+LvZ6izsGP0jmQywppCpwMuhWJJg1rBu2d3dhcxNbS4YDNns7g6yurhrFM2vvxQCZDYNiyeWB1g6pIQrYVgcZ+p61L51V0QJhze2iIAqp8tjtbvg5BrDuuVFFv1mFOFaJP5xKmViav0CVxh0ak6nE93sIyMjV69e7enpOfK0A17ah5EZek1qvUg1u1mHHUevPHL5Isw5bm5uopu+srLyxo0ba2trRzb9X3Al6PUyJPNo2jWWPfUwhZzVLEmsEXaQNYiuQXAolsifAX121x4QdH8cZ2aWth+i7JaDQ4CEKj5JMJvRKIYlJ+7GEXPbpDNLO+esULOwsIBu+oe+z4/YxFCOgtUJz+55QBAOQELMd7dnkD+NTEoEYaD8qvQG8eNUCkU0i4ztl0OxWPYUVaSHpEZ8EkKyyVX90k4XRZNSJ4qvgjQmbsUMaue2jolLgaB3zrCT2ya9G0f8JRx3O2YwqVao0W9+Ku4F17Ovk0AaEz9itfudcwB7+VXIrslkslqtkZGRMPaan59PT09nsViPHj06EnvdPvj5+9///mNhL+h9wuQQTSz7kSVjK/l6w47NsW9cCqelLK6aiPzp5oNU+lpAMW8wIpOP8MtQfBUfsZ64FAI0E5VQlvjBWX+49kEQXF639DG0bSS1ambj4jMoZ2dn0c1+7dq1f/zjHwHshQZMPyvfq6mpCd30//znP//zn/8EsBcyjFrtLr+RJL6ST5fMdVE1bWRVWsMBKYGQIva2yS5RGTiyhYVVk9vt0683O/LapEjc61oEnizSiyeWsSxdbqskupyX1QyJds4ZznvK6dWrV+im/9vf/vbw4UPkwn+4BY8HNGxY+PIl8cTytsm+Y3YMKw0AW4dOUccUsrOah7Oah6PL9x2cgjBAVBl3dnmng6xuHlQqpzccDtfGthU9/l8OxdYACuRN+3DleL3epTVzGwkipUSX89IbofQszU9neXL4wpE1AeyFVMX+gs1mg7GX0+nMysrq7u7e2dn5FPYaPPj5v//7vx8Le8GXbbG5IkoPiHtFlHIq+uRY9hQ8L+D2gFa7a23LwhqZT66F/EByW6VP06lPfJTbxVXT5o4topTzgczxLp95LQKixGY2DbcOqR6lUv7MhOLbGv2m5Si5PPgE4GzhTxEt99vmYiwZjUZ0s3d2dgYFBQWw118BeymVSnTTx8fHX716NYC9kPsSMqspOmBWE1fJb8BDxjIFHSPx1fuTiUEY4H0Bq4+hfZxGuZ84VNA+MrUAiTY5nG7R+HJijeD3JNKfkBT+2MqG2WZ3iSeW89qkcZX8vLYRrmzx/PMcmUwmuumvX7/+Q2Ov2aWdvDZpWoMovUEsVCx9mMh7lEoJKWRV9stDiyEXIEwhu7RHVo+fYEjmow5ir4hS7geQbXO4tkx2o9nhcLo3dmzoyZDgUGxJtwzWfkP6ht+C0+Xhyhbz20biKvnZLRKycBbJmfXb8qf8GsBeRzQrgr3UavXf//73e/fuPXr06O9///vNmzdFItERO6BW/Vh8L+TEQdDLHl1AzxTgfCpcr3IYct3a2pa1izqZ3SLppWsHWLomgvJ1LuNNHjOvTcqUzm8a7SDotTvcg7yZ2Ep+XBW/AT/xJI0i165tGu3jujWFDlpwOPdDaMhxf46FAN8dZYQFAAAgAElEQVQLjbrg5Z817uXXY/9SGhN+137kV6fLA7k0hmLhwNXlUOyHZyocCbsZRWgdUl0O2/spOATopGp+jR+6EoaNqeCVdMuKu0YVuvUmgjK7RdJNm2whqtIbxG/ymLThOY/PQVK/bBzVrCL6XkeewLmt/BH5XkjluNyePvpkDTAeU8FLqBawRubhed4/kskF7SMZjcN5bSPxVYI/ksmJNcL5FZN4fBmZcwwOxbIhjQ+3XLtW3jtW0Ts2qlmZN5i6qPsmjzeiCP1MnWhi+ciJDvg0EH2vUc2qftno9KnVI2f40y8EsNcRTYxgL5fLZTQaTSbTysrKb7/9xmazXa4jjA7QRVxk7OVwuk1Wx2GShNsN7pjsq1sWhmQ+vJgTXsIBWFOwHvGtaCiVN7qcdyUMeykE8ClQS0OL2ET+zOVQ7O2YwT6GFp4i1M5tFbSPFLSPPEql3IwmKLTrbp9hkdfrhdWo0bX0ky0HsFcAe/1kXfrUl7NjhuYQu6gaTCErspRL4E4PK5dhl4tLIQCOM0UV66PLee8LWG0k9bBy+ZcwbH67FM+dfpVNbyGqHiSSLodig0OA65H4RsLE70mkSyFAcdeo3Ufc/ihrfyGy234U7OX2aXk4DjLfd8x2In/mRhQhOBQbHIq9FUMY5M8Eh0DeQdHlvGuR+CthOBhA308Y+v/Ze++ntrV1ffzvuT+d2fd898yeufecfecz+5R7N5CdkEJ679kpNr333nvovRe5gG1wwRR3G2x67x0b3JskvpFFhAMJIYlDbJCGGSR5aWmt51169Witt4zOblksIE++HJjb65fd0yVdWN3USkfXLgfuX86TLw9Nb5ZRh16mcAoABX8QmaSspo8cseyIjjGnkulXD/uvuBDnXh8BzWg0JiQkcLlczJNCr9f7+vrK5fKPlP7wlHNyL7MF7B9bDy3oe5HEru0Y3VDpUStICIK3tvU8W0q1h7Gd9R2jLNF8Zr0MjTrhRgAI6V1vW+T2EbwexXZGlwgiivihb3n3ozv4g8iXjc5gpvGQr9uXKexSylB4IT+2TPTZp+5D5Fz4COdezsm9jjD1tR9tqPa3P3P8fXze6wBW75K0Buf13QilIQnHigSe/pSYEmFaDWK/9TqVE1HE9yACEYX8uDLR7Qh6eq20QzgXkNP7IoldRh2qpo/YZ3t8ncqJKUHyP1J7Zw5/MR6478kfOj/3giB4dVNX2T78LJEVUcSTT2xgprTvYsEH5fVhRnVoFhO/7J67kYzYMqF9EsbA3N4Vm9MVDMM6vXliXoXOUAbnf3B5VLGAxJ0kcScpPdOxZSI0SrZ4ZHVbg6yKnLx0nP+OOPdysIyckHvZvHk3MDrlTgRKKUN6owWGYbXO1CVdxIwrH0R3tPXO5DQO3ItiXPSn3I/uKKUMvbOmxMLquBGAm2G0xEoxIa2rsFVR0KrQ6MwQBAuHVvdnpIlAMWkwJL9Pb/zMHKGDof9x1eHcywm5V1qN1GiyTi1uj8+rjvibXNzW6s3HZGmHhxjOvQ5gotaZDqRh9s7gvm1VXA1uiyoWoLGa0Ve+V1BbRfswpjfcicDbFvmDDwMcFLQq3kWmUKmNB+7iDIfOz700OiRYFxa2+lY4bfy976FGb3qexLbnXsSMruQqydVgJFp9bKnwdgT9ciD1RRKbI1lAGRtqHR9us9hLq5UekDIxvYvGmxGPrGJvE9Qkv7t/6QgzX2eQ449qA869HIy8E3Ivk9ma1zyAWWC4EYBniazlDa3VCs0s72TWy7yC9yKdnvMh+WX3cGWLDZ1jKdWSuHJhVkN/XcfYY7uMHwE5PQE5PQ3M8VbORHvfjNFs1enNBzJn/5nM5imWnfBT1cHCfl8dzr2ckHtlN/Svq/Tx5aLwAv4Rf7FlosnF7feS/OL/OPc6AJlGb7LPu+dBBKrpIynVksgifmq1pKJtGFNEvlndB7znnieyUm0zZG4EwJ0IZNTJZGPrTjtx4vzca2px2151n/cl1zJGUSIFglANYz+biAcRqKKNpNdJI4v4CRWi/GZ5edtwXcfY8MwWlu3RbAG7pAu3wpFgkI/jOgta97Mr2qQ8Kh1do/RM26eYuxVOy20aWDmUnPHAmDmbhzj3crDcnZB7mS1g0YcpFP2zu8fmlM3siSbWRE5jv/2S4r3ojhrGaHA+sjp5LQQJYR9TIgC6Jv1zeu5E0COLkEj3Dczx9r6ZjDpZGXVYNLzazJ6ILOLbf0L5ZCKu4w5G1omrw7mXc3KvNaU+opB/uG32Z8IL+OPzqq8eXDj3OgCd1mCuYYxm1MmexDNfJLFLyIMVbcPnfcl3Ihl3Iuihb/uq6KOv07oex3VWto/El4vs9cbrVA5HukDM4D6MRRKRTS9tfyrS5oGb/pBD5+desys7z5NYGMIX/MiNrAmrFYIgaF2pb+2ayGrofxrPfJXCKaUMRRULbkfQ70YyLvhRiOncrIb+tt4ZFH8Igta2dCTuZG3HKJZOO6FClNM48CyB9WcSu4QyODKzpdYaOwRz10PbsTveiWTkt8jXtpA4kfh2AAGcex0A5FsPnZB7wTA8s7SDLeGf8yY1dI6/TuVc9Ke8Setiieex8MTutsAQWQ39F2xBItBH6FY4TTq6NjanLCIpOgSzlO4pn0wuQzD3OJ7Zwp68EUa7bHNpsQ+Z2CGY++pFnG8VwI+4Hude9mwG3f/hfo7ZDf049zr5p2FHiyT+e5HESqqSxJeLnsQz++TL2MLiBT/yyMzW0rq2tWvyZQqnvnN8X28QgVbOpEZnXlfqF9Y0Wj1izODMasT5uZfBaLUPxHgnkr64prFlbERiWV8JpD5NYKZUSXr6lybnVZ7+e3GwPbxJNYzRiwGUqGI+ajeyuqm7F8W4FECNLRXGlArdbWmdLthSno/OKqcWt5Vqg8UWm21NqccSxKEp5qQja0bTUQHuT36IOskdce7lYEE4IfeypZKAFtc02Y0DEUV8tmShsn0EzbOG+C1WirmyhfxmuW9Wd27TQDNnwn4V0o0A+GR2z62orVZwdGYrpUYaWypkiecbmeMjM1th76P13ItmANypqGJBTKmQp1g+aw8bzr1w7uVgPeKy1VksYC1jtJo+6p/TE5Lf18KZbGZPvPOGDsztDcrrbWCOZ9X3642WHa2J0jOdWiMZmNhIr5VGFPJZonm1Fsn36ipdd37uBcOwRmei82fDCni5zfLlDS0EQRYraG9m50YAvDO4a1vaqUVVQrnIL6u7vG3YOxOJ0JZRK6X0TC2tawoBBfodfjOcVkUbKWhV+GV1F5OHVja0BwxLIAhJxV3eNuyf3VPRNjw+r9Tq97I6Ig7vzk2mT3jg4dzLwYA7J/dCO2mxgAaT1WCyvG2R/+GDhD9F/4Lze+dXNVzZ4rNEFrLIWCoMedt3KxyxtXyWyKLzZtVa09icsk++PLGg2tGa9Lbs9POravtsXBd8ybUdY+jXqoMxdfrqcO6Fcy+nH6Qn18CJeRXiyVguiikVBuT2kLiTXkFtATk9/tk9F/0pr1M5O1qT2QLOrex09y8OTm9ubuu3NUar1cUSxTg/90JFDkKQwaax0UOj2frOkM6DuBdlzY0APIztXEDSI8JTi9sl5MHHccwboTTvDG5O04AHEchrkidW7C8NexCBtFrpyqbWZPnkbJbVCml0yGsChKDd3V3EQdJgGZzaFA2vrm7prCBCwU5uODrrnXDu5WDJODP3QrsKQbBoeBVblXcnANmN/RsqvY/tW8eNAFwKoIYV8FKqJU2sCcXkpnLH0MSaeJmCmH8F5PR0yxZRa80drSmroR9zorkYQOEpls+mOzHOvXDu5WA94srVWUHEiae8bTi6RJBcJan90Ka7tWvSYLLyFSvBeb03QmnPk1i1DOSbzeV67Crc6wCwEATzFMtYpl13IqL/UVdfswUcm1MWtCqiSwTx5SLUTOVxHLOdN4N5SLgTgUJA8UUrGzsaU16z/HE883YEPbpEMDqrhHDutbuLc68DI/NbD52fe+3u7hqMlg7+nE9W94PojvQ62czSjt5oCcr/IGNXSrUEzXUtGl61z2wfkNOztK5ZV+obWeMl5MGUasnDmE7vDG5b78zZCSpxYJTg3AvnXgeGxBk/BEGoV770MoV9zpsUV4a4Sz9NQEzvy9uGO/iz7yIdhL7djw51M5zWJ3e9zzYX5V67u7t6o6Wtd8b7vU/DzNIO9s1ssYJ0/qy9d+SzBFYDc7yKPvrG5iGR3yxf+JJMmiAItfVOY5/obgQgrUZ6Zt8U9moB5172aDhg3yW4F5o8cUOln19VowG6YBgenNpMqZE8iWO6EYBz3qTBqU0Yhs0WsIq2ZxyGLlBeD2nvHVh6lsjy9KdcDqAS0roY/FlkJtlma+kABF2wCpx74dzLBYftd2wyDMOY2fUfPiTUq5HUjeRp9gpqy2uW3wijYTYP533JxaRBvdGi1ZtdKCCz63IvRP9boXXVR3waYBheXNM8iUfeAmikj8z6/ueJrFvhtOyG/ol5lc5gOb7ZFghB2xpjxIde8PeiGGtK3PMRn/dytP5xCe51oNNWKzQ+p4oqETxPZBWTBptY40NTm6gRJQhBbMn8TTtF+TKFU942ZB9+2iere0OlP1DnmTrEuRfOvc7UgD9OZyEIXtvSFQKDr1M5JeShItIgFt45soj/KoWDcS+v4LZG1kQjc/xFEju6VDA+p7JaETshJ99cl3sdDSwEQcvr2oz6fkJ6Vwl5KK4MSS3gRgCuBLWRu6cPGNd/qioYhhF3iu6ppCpxUqUYk7UbAQgr4GlccIn5Uz396vP4vNdXQ/fxC12Oe8EwPD6vQiPmoR86hYDC3vxiR2tKr5XeDKN5+iGR7huZ48lVEg/inp2+GwF4EN0xv6r+OBxn4yzOvXDudTZG+hf30mqFtHrzwMT6nQgkJif69zSBWURSPIjpuOhPuR5Kiy4RFJEGMZVyK5yOhV//4vud4AWnlXuhEFqs4OSCipiBODyifxf8yGXUoWNOTFqsYANz3IMIuBOAglbFn8nsq8FtlwKQqBZCWxq6ExSUk94K514OFozLcS+LFSyjfjCP9TSBObO0g+GCfsGwJQu23LerWr25W7Z48X0wGHcCkF4n0+hcz1QW6+C37+DcC+de3z6KTmsNtvVHXXSJAHuLP41n9o+vS0fXahmjncJ5xeSG/TTYeV9yOXXYYnF2t8fTzb12d3eVOwZ7qd2JpItH1jDLsKOH69aO4eX7qc2rwW1ptdK0Wml95/jIrNJsBnE/x13c1v7oAfQVv7oi96poH75gm1VGleOzRNbs8j73QkEAIciMuAwjvsE6g7mZPfE6tet+dEdqjXRiXnXMB/Ir8HSJS3DuhXMvlxioP6qRVhCST2zElYnuRNKJGdxOwZzBZIUg2GIBQQhxinyWaBd+3Zdc0T6CZX3+UW3+7H1PPfcCP5Rae9+M4dgpepVqw+u0/WVldwJQ1jZsMFlx1oWNK3zeC4PCMTsux71gGJ5e3L79fkUAybRNHjo6+ylqg7+wpplYUKnURoSRnW2fYZx74dzLMerjlNaCOvdsbRvG5pRL61qL9YOZD53BUkoewlzhbkfQpxe3nV+lnHrudUBqZssHUjt6qFqsUAtnEltH/sOHNDqrdH6ZHt0px/6Kcy/H4rnrctxrd3cXBKH5VXV8hehVCqe1a3JHuxeJ2MHQnN7qcO6Fc6/TO7q/e89Qq4bWrslXKZz4CtH8qvqYBt3fvWVH3uDUc68je/+ZH23xVM0MwRwxgxtdIphZ2nEJmX6mVw79GedeDoVz1yW5FwqB2QLqDMgagIMROQPV4dwL515nYJh/3y6CIKQzWI5pyv19m3K82nHu9VmcQAjSGy0m8ycj4H+2hlNcAOdeDhauK857ORiCs1cdzr1w7nX2Rv1Z7zHOvc76CPi2/uPc69vwO3Q1zr0OQXL6T+DcC+dep3+U4z38EAGce32IB370ZQjg3OvL8Pps6f/5n/+5dOlSBL6dFgQKCgo+K/TV1dVff/311q1bBzqdlJSkVqt9U6iPI5qO/iMmkkWK+cIm4ZPIz5RMLeuaXlQSEslHV/g4oik4k2Y0WfzS2j9bErv7Z0s+jWquokh6ZbMv44CjC4dm0495d59kinx8Oau67+gKH0c0PY9uaWLImYLJP2NbP1s4toC5sqEmJlGOLvkqHhiaXC0uLj4gu4iICAAAPiv6srKy//7v//b39z98OX7GRRFITk4eGhr6rOivXr3666+/umgf8WZ/FIG8vDyTyfRZ0TukAM69HALjfiX/+te//vGPf3g5x/bTTz/9+uuvztGWD1rx17/+9eeff/7glHMc/O1vf/vpp5/s2xIQELAv3U/sra2t/eMf//jf//1f+wtPYP+XX3450NoTuCl2i19++eWvf/0rdnjCOz///PP3vntubu4nBL5/uqqq6tdff7148aJDuv/bb7/99NNPnp6eDqnt2ys5/Dh8e53fUsMJCN3Ly+vRo0c8Hm9fxp/Yu3Pnzn/91399aXd+//33n3766ffff//SC7+x/A9Ruf/85z9/+umnP/744xsb/0WXf8sg8fb2NhgMnxC4g0/j3MvBgDpVdU67AHrv3r0XL144FVZoY5KTk728vJywYR9tkp+f3w9srZ+f37179z7asBM4eSpXfBobG728vDY2Nk4AwOPcwtkeh1MgdJFI5OXlJRKJjoO/A8v8EJXb1tbm5eU1OzvrwI58tipXGSQ49/qsKF24AM69vlR4zvayObr9OPc6Gh+X+xXnXkeLzFVeq0f0AudeR4DjkJ9cZZDg3Msh4nbSSnDu9aWCwbnX8RHD572Oj9UxS+Lc62igXOW1ekQvcO51BDgO+clVBgnOvRwibietBOdeXyoYnHsdHzGcex0fq2OWxLnX0UC5ymv1iF7g3OsIcBzyk6sMEpx7OUTcTloJzr2+VDA49zo+Yjj3Oj5WxyyJc6+jgXKV1+oRvcC51xHgOOQnVxkkOPdyiLjxSnAEcARwBHAEcARwBHAEjoUAzr2OBRNeCEcARwBHAEcARwBHAEfAIQjg3MshMOKV4AjgCOAI4AjgCOAI4AgcCwGcex0LJrwQjgCOAI4AjgCOAI4AjoBDEMC5l0NgxCvBEcARwBHAEcARwBHAETgWAjj3OhZMxy8UFBTU1NR0/PJ4yVOAgEqlCgoKYrFYp6AveBe+CAEWixUUFKRSqb7oKrzwKUAgOTk5KirqFHQE78IPQQDnXg6G3WnDOji4n3h1dghsbGx4eXk1NjbancN3zwQCzhYV4kyA7hyddJVYBs6BFt6Kgwjg3OsgIt94jHOvbwTQFS/HuZcrSs0hbca5l0NgdMVKcO7lilJznjbj3MvBssC5l4MBdYXqcO7lClL6Lm3Eudd3gdUVKsW5lytIyXnbiHMvB8sG514OBtQVqsO5lytI6bu0Eede3wVWV6gU516uICXnbSPOvRwsG5x7ORjQQ9XBMAxB8I7WtKHSG01W2LYdKnWiJ5yTezkhUCcqlRO5Gc69TgRmZ7wJzr1OTCowDFuskFJtUKoNFisEw/CJ3fr73QjnXg7GFudeDgb0UHVGk5UtXvDL7n4czywEFCsb2h/+KDon9zoA1MKqGoJOg846NCJ+5Amce/1I9H/ovXHudWLw6wzmFs7k6zTO6zROC2dSZzCf2K2/343OOvdaXV0lkUi1tbUcDkej0ZhMJjabXVNTQ6FQVlZWbDMH0MzMTHNzc319/fDw8GclgXOvAxBBEGwyW0EQws5DEGw0WU1m6wEqYPu4AS1WEIZhEITMFvBAgd3dXQiCRcOrlwKobgTAjQC4E4FSypDhY7VhtzvmDnp361d9VDkh94IgWDa2bg9UfrNcZ7BYrKDBiCCLwrJ3aCcd9DwEwWYLCILIJ6bJbDUeEtYxUT31xXDudepF/KkO4tzrU8h8+3kYhq1W5BVgslgtVrBDMOdBRBT+9dD2VykcweAK8m6AER2FlDFbMYWG3fpb9DlWyXfdOdPcS6fTPX/+PDMzs7GxMSQkpLGxsbS01M/Pr6mpKTk5OTEx0WQybW5uBgcH5+bmlpSUPH78eH5+/mh54NwLwweGYYPRIh5ZLSYPUnunlTtGCII0OjNXuvi2VU7unppfVesMZnTWygpCU4vbdR1j9Z1jcytqlni+lDIkHlk1GC3201omszWrQeZBJKHc61IAtYikIHdPFZEUffIlrX6vNqwNx9yxWMHxeVUNY7SRNb64poHeU5NjXu6E3MtksRYCCgwoNwIQlNs7Pq9s4UwWkQYFgysaHbJoC3RNFQKK3oFljc6E4oxJrZQyxBLPz67s1HWMVbaPjMxsmc3WYwJydoo5J/dCPhqPvS7zpaP97Aj36J7i3OtofL76VwiCVjZ1TeyJyvYRvmK5u38R4E7eiqATM7hJleKgvN7shv7VLd3EvEoyssrgzxa0KjoEczuaPQ22u7uLvk2+Wp9/dcu/6MIzzb2mpqYePXqk0WhAECSRSP7+/mNjYwsLCyaTqaam5tWrVwaDgcFgvHz5UqvVGo3GyMjItLS0o/HFuReGj9kCtvfN3ImkX/AlXwlqiyjiL65pSilDN0Jp533JV4PbYkuFIzNbBiPyRp9a2H4U23nRn3IpgPIknkntnb7oT7kTSW/vmzFbQKxOixUsow6d897jXmEFvICcHq+gtvO+5JvhtFrGGFobVv6YO0NTmw9jOmx3pz6JZy6va495IVrMCbmX1QrVdoxiQHkQgcr2Yd+s7suB1Au+5NsRdHL3VGQR/0og9bwv+VY4vYk1YTQhgsCkdtGfQu2dfhzHvBRA8fSnPIjpGBjf+CJYzkJhp+Vea0p9ZftIMWnw6L9q+qj983UWROaoPuLcy1FIHqhndVP3LIF1KYDq6Ue5E8loZI0/jWeSuqdyGgduhO29O9r7ZhIrxUlV4ush7ed9yddC2tNrZWqtCa3K7m3yNfr8QHu+0+GZ5l4YpiAI5ubmRkVFmUym7e3tBw8e/Od//ieVSkXPJyUloSVbWlpu3bqFXYXueH24/fLLL7m5uQfKnM3DpXUNMaMLnaByIwBXgtpKKUPN7Ikq2kgxeTA4r+92BD2/RT63qjZbwLgyIVbSjQBElwh8MrvdCAAxg7v0IRNa2dBeDW5zIwA3w2jRJYJrIe3Yhc+T2COzSvt5suMgb7aAUcV8rBI3ApBR32+x7hO+w5XMzs7ai93T0/Nvf/ubs8VWXdvSoUAhk155vZn1Mk8/CtbN16ldUcUC7PDPJPb4PBKcHZOaT2Z3dMl+ATcCEFbA0xsth9E4U2fKy8vtRf/bb7/9/vvvGxtOx0rnV9XhhfyAnN6j/6KKBUZ8OvN4I/jFixf2ov/555/v3bt3vEvxUsdFwGIF81vkmF5yIwCBub1RxYKUaklM6d47IqpYEF0iiCoWPIjpwErejqB3SRd3tEadwRxfLsLOH0efH7dxDi2Hc69drVbb3Nz85MmTwcFB1GnOZDLx+XxPT8+pqam0tLSMjAwUcyqV6uXldQB/vw+3v//97zj3QiEanVPeiaRjz8AFX3JylZjOm4kvF92NYkQU8ivahwsB+cSC6p3T4rNEFlbSjQC8TGajzOBOJH1sTmmPOQRByxvaQmAwp7E/v0V+0X+fT9wIpQkGVw5bidlffnhfrTM9iWfa390nk6s3HEUylpeX7cX+6tWr//f//p+zcS8MqOQqSadwLqFCfM5nb77QjQDciaCn1kixXt8Ko4mGV3d3dzGpRZcI/kxmYwXcCMCTOObmtuEwgGfqDJlMthf9lStXPDw8cO51FsZAfHy8vej/53/+B+deDpe73mgJzu+zVzsPYztzmwb8snsw7pXXPEDM4MaWCbFvSzcCcCmAmlIt8c/pCcztbWKPv0rhYJV8Vp87vBfHqfCscy+lUpmXl+fj4yMSiUAQ7OnpWV9f393dhWH40aNH7e3tZWVlUVFR6FRKRUXFn3/+eTSs+Jojhs/WtgGbzXInAC9TOA3M8YDcXuyReJnMZghmV7d0eqOlijbibrOmRC3oi8mDEUV8r+C2uHLR1sfe94iRuMkqn9yw//QJzuubW0Fm0Q6bXmKtOrxjBaES8qD93Vs5k/bOAYcvOXDmR605ohbxR3NNixVcWNPkNQ+k1kivBCHzhehfdIkg0E4WYQW8pXXN7u4uJrVHsZ1vW+Tnfcj3ozteJLFeJLHKqMNmC2gFIdQf4gAIZ/PQOdccd3d38Xmv7z0g8TVHxyKMWsebLSClZ3pfGxOAlGpJdImghTOZ0ziAno8uEeQ3D0QU8l+n7hOsR7GdMaXCy4GIG9bFAEp+i/yKbd+dCHypPndsvz5V25nmXlqtNiAgIDg4eGJiAmVXAQEBqampOp1uaGjo1q1b4+PjUqn04cOH09PT6+vrDx8+bG5u/hSU6Hmce2H4WEFIPrERXSJ4msDMbuzPrJNVtA3fDKNhr3+v4LZG5jhPsVxFG6HxZjLqZI9iOx/HMfOaBxpZ42EFvPRa6cD4uvWQFx52C4PJSumZJqRzb4bRQt/yOJIFtDa2ZH5Hu296iZX/1M7yujajTvYwpuNJPLOgVbGtMX6q5EfPnzz3gmFYozP3DiyVtw33DixpdJ90MoAgWDKyejeKEZTXm14ne5bIuh1OjyjkNzDH8prlL5LYt2zQCYdWLDa7OkxqdyLpQNdkIaCILObHV4gamOMIUd7UMUXzTeyJ8XkVWv6jgJydkzj3OjuyPtBTnHsdAORbDq1WcHpxu4UzQemZmlpUvW1VPIln3otiJFSIeweW4suFJeSh+s6x5Crx3UhGOXW4mKQoBBTFpEHfrO7roe2E9K7MetnL93NdHkRSWAEv9G3f1+nzb+nI8a8909yLSqX+x3/8h4eHx33bFh0dPTIy4u3t/ejRo5cvXzY3N5vNZp1Oh3o4PnjwICEhQaNB5gaO2HDuhYGD+AmD0JpSJxhaeZXKeRDdEVsqvBvJwLjXjTBaavyv0KEAACAASURBVI30VSrH049yN4qRVCmWjq5JR9fCCni3wukX/SkPYzo7BHNHvONtERDA2eWd/vH16aWd+s6x+9Ednn6Um2G09FrpznvTS6xJn9qBIFilMQ7PbI3NKb/CWfLkuZdWby4hDyF+DH7kO5H0EvKQVv/xmDcQDMsnNx7FdZ73JT+JZ0aXCDLr+4vJg96Z3KfxzKhiQUadjCNdMJmRKLXojC8qNfnExsDE+qtUjldQ2+VAxGS1tWsyIKenlDJ0JYj6PJE1MI7MEJ/xDedeZ3YA4NzLgaIfnVG+SGJfCaReC2lnieZ9MrtjS4UJFeKA3B46b/ZmGM3Tn3I/uqOBOS4YXFlcV0cW832zut+2yMuoQ2m1UoA7FVUiwGwqznmTCgDF+Lzq6/S5A/t1RFVnmnuZzWa1Wq15v+l0OsTB3mDQaDQ6nc5q3YuZbrFYtFqtRqMxmz/+erPHF+de9mig7r6VtBFkJdFmNRleyHd/v+zlk9mdXCXBppdvhtGYovn2vpmLAfsmXL5Z3csbn/E6RAO4j80pX6bs2yfdDKOxJQvHX3yE7bYDXfjs4QlzLwiCxSOrD2M7MRb7MLZTPLL20cVHZIZMb85u6EdxPudN8snsLiEPoXrqnDfpZQpnbQsZ+fbdRGPn5DYPYLdwIwARRfzwQl5smfCpzTwuqliAu8jh3Mt+2JypfZx7OUrciK9V+Z4d/asUTpzNUv6cN+kPH5I7EQh52xdWwEMVkXcGd25FDcMwR7Lwhw9S4Lwv+VIAZXJhu4U9gcYAcyMAV4PbFlaRYujmqHY6tp4zzb0cCyVaG869DqBqMFki33sRXgqgZtTLshv7/bO7y9uGudLFh7H7jiqefpSKtuG3rXIsMoIbAbgdTh+d/cDW/kD96CEEwTzFsr3Po6cf5cT850+Ye1lBqK13GrVmQFXSlUBqe9/MpxZnYRjeVhtbuyaD8nqLyYNrW7ptjZHaMx2S35ffoljd1H00wpPWYCak77upuhGAR7GdOY0DPplc3yzEBfVBTIdat+fU/VGhnIWTOPc6C1L+aB9x7vVRWL7ipFprevT+SzK8kI8tHaLK7UF0R37znufjrXC6fBLxKTaarDzFckypML1WNr24DYKQTm9miecjivjZjQNfEaPxK5r9jZfg3OsbATx4Oc69DiACQghRwCa3PIhAGXVoW2O0WMG5lR00OteD6I4bobQH0R3CodXegSWvD03CN1T6A3UePoRhGK0Nm6e5H90hGl796FTQ4cu/8cwJcy8Ihodntuwn+V6mcIZntj4aThOE9kzjQRDSGy1W615Ee/TwiFAaVhBqYI5hgnMnAKk1Ut+s7tQaKbpwnN04gNX2jQC67uU493Jd2X1jy3Hu9dUAQhBsQWLR7821W61QQascXQ95FNuZ9X6SHlXmiRVi7CMwopC/uqVD74vmRzFbkDwo6BkQggwm6xE2Kl/d4O9xIc69HIwqzr0OA7qjMeU1y5/EM29H0KNLBKOzSpQlmC0gV7qYWCGOKOTHlgobmeM6g1mrN1e0DT9LZKHm85KRtU9N5xy4kdkCdssWA3J6roe0v0zhNLEmdEfGiThw+bccnjD3Qj/7aLxZYgb3anAbMYNL482ikVHtewFB8LbGyJEskLhTY3NKzKLLvszR+6odY2ad7GFs591IRnghr5E5ntcsL2hV3I1ixJUJpxa3j778LPyKc6+zIOWP9hHnXh+F5eiTe05C8qVm9kT/+LrBtGdmurCqTqgQ34tiPIrr7JMvZTf0P4pD1E5smbBvYPlZIutGaHtATi/iEvT+6/HoGzn/rzj3crCMcO51GFAYhnUGy+DUpnhkdXVLZ7VlCUQJBIk7ZYucTr0TQc9tGlDbnBP1RsvwzJZwaGVxXXP8cAaoidLcipqvWB6bUxrfP9WH2+PwMyfPvdA0i1OL270DS1OL2x/lVSq1MapYcCucdiWo7WUKmydf/qLAGajd/Y7WJJ/YEI+sTi9tTy9tq3XmkZktyejaulL/pbU5HHZnqBDnXs4ghR/SBpx7fQXsah3yHX43inEpAHHfofNnUZtREII2tw3SsTX5xIZaZ9LozYrJDVTP6AwWxeRmd//SzPKO/SzXV9zdqS7BuZeDxYFzr08BilrEW0FIqzejCVAHpzbQAC0eRCAkv6+gVSGf3EAnotHC2GTyp+o8fP6rLzxc1fHPnDz3QttmsYDI6q1dziWszSAIUXunz/uSsUXYUFsEL73RotWbD9Mm8L1csBrQHQRPGIYg5A/d0MOvEM2Bmk/HIc69Toccv6IXOPf6LGggBOkMZtP7xAkQBHNli7fCkYDbF/0pUcWCKtrI6ntHHwiCdQaz3pbAF1M7qJ6BYBi0fbFbQUijM50OFx+ce312/HxZAZx7fQovCIJXN3WV7cMxpQI6fza2VJhRJ7sW0v4kntnEmgjO73sazyylDK1sal3uvX7y3Au0pR5Pr5PejWKk10mnbNam9sgbkaTje76NKP26E0EvBBRRxQJy99S7RI2rWzqU5mJyeZbIiirmD01tHmEEZn8LfH93dxfnXmd2GODc6wjRwzCs3DE0scZfprDfxamXjKyZLaDZAlbRRjz9KYT0rmb2hE9mNyGti8ab1RssGp2prXeGkN7ln9PT07+E0TXsFqiaKiEPPkEi45wGNYVzL0y4jtnBudencNTozKWUoSfxzNqOsUexnU/imUmV4pD8vtymgeuhezkZ3YlAfrPc5ZIGnjD3gmF4aV0TZBeVPii3d2ldY2/BCkIQR7rg6bc/7xVZxE+pltwIpT1PZBW0KhpZ46g9nEZnzm+WYzb1D2M6x+dVLkd/PzXqvvd5nHt9b4Sdtn6cex0hGrMFrGGMYlrlnDdJNrYOgpBoePVNWlcDcxxzZvfwJjFF83zF8oOYjku26ELnvEl8BZIaDokQaYXQSXqdwVLXMXY3koEGxzkFagrnXkeMn6/5Ceden0JtZUNTCCgSKkS5TQO19NHkKnExaZAtno8tE9ovjT2OY342oNenbvGjzp8w9wJBiCWev2GXIeBuJIMlnpeMrDWyxvmDK2h4WI3OXEQafJrAvBVOC3nLq+0YjSsTplZLshv6Mxv6sxv7JxZUEARPLW4/jtsPFXbRn1LLGMWnvo45lnDudUygTl8xnHsdIdOtbcOBbLBptVKT2aozWLjSRf+cHswWwo0A+GR2t/VORxQhHldPE5juRCC8kKfVmScXVJSeKZZ4fkdrnFhQpdVKI4v5cWWi66Htp0BN4dzriPHzNT+dYu6F2ncbTdaPxjL4LFiysbUXSWyvoLYboe0+mdzK9hFkDowxmt8iv2BnlvQiiY15EX+2TicpcNLcC4K4ssU7kfTnyCqh4HkiyyeTi3oGXbRFfy4hD6L0S2+0DE1vdkkXi0iDzxNZV4KoJO4UIZ17Nbj9Wki7b1b36qZudnnnuV0i80sB1EbWBB484phDC+dexwTq9BXDudcRMlWpjVhgCJRm5TQNoJbyOoMFy4qN/uSf3ZNUKb4cSH0az8xtHrga3BZbJhQOrUQU8ePLRe+SAktGVn2zuq+FIFrrdSqnhjF6JfAjagqJMWG0fNT+9Yim/qifcO7lYORPK/cCQWhsTplSI4krF/aPr3/pvIh95GL0eUusFP+ZzH6VwqH2TKPWl2gW7Yq2YdPHjMcdLCeHVnfC3AuG4a0dA1e6kFIteZ7ETquRkrlThLT9OKj3ozv4g8ik/e7uLgTBY3NK1KfBN6s73hYzGvvozGkamF3eybNbc3wSz1xc0+BrjsccIDj3OiZQp68Yzr2OkKkVhMjdU1ig+T98SJML26hWgWF4ZGbLPv8PpWfa038vl4l/Tk94IW94erO+c6yUMuST2f22VZ5WI8VUlhsBSK6WpNZI7dUU4kq/H1u1H4+teoRoTu1Pp5J7wTA8Oa/6w4eEPgDvsj0MjG/Yv573XODs/mECRs+p1Ib7Mfsh7N0IwMtkdmSR4GYYLbdpgM6fjSoWeGdwKT3TaJgJ7HKX2DkB7oVBi4Z+UNriR2D6KCivN6qYj1lXXPSnNLEmUH4MQlCffAmN+J9uC9aFXuVBBP7wIT9LYGbWy+LKhEWkwdepnOQq8fK69qNh7l1CECffSJx7nTzmTnJHnHsdFgSmpmAY1hssLPFCUF5vUpV4bnnH3rcaBKGRma3YMmFEIb+tb9p+dfJ2BF0xubG5ra+mj3h4I2+cpCqxvVGEGwF4Esdc2dCino9oG8wWEMspdM6bdCucZs/MDrfTGc7g814OlsKp5F4mszW+QoS96d0IQOhbntHmOYxF1ZKOrs2vqudX1ePzSo3OjD6EVhBS60xjc0rh0MrbFvm9KAZqYulOAHKbBtJqpJn1/aWUIe8MblgBj86fOeze4mDxfJ/qviv3gm3+1ZvbBsXUxuSCymiygiDU0790JwJx1Ub/bocjQWsxl4VHcZ3S0TUIgowm6+SCii2ejysTXg9pf5PWlVYr9bDppsDc3uQqSXnbcHyZ6Lwv+UF0R2SRoABQuKgIvo9gP18rzr0+j9EpLYFzL3vBompqQ6WXT+6pKTTcj8FoORwSAoZhrd48NL0pn1hv5kxcsHMJiikVbmuMW9uGN+8n8l8ms7Mb+7EswBf8yGWUodE5pWJqY3PbgDKw1S3d6zTOOR/Sg+iO8EJeWq20vW/GaN4L3GrfTufZx7mXg2VxKrmXwWgJeduHvendCAAxg4t6IxpMVjp/1ieTez203T+7J79FHl7Iy2saUKmNVhBaWtcA3EnvDO61EMTGK7NeRkjvuh/dEV0i6O5fjCkV3o/ueBTbmVyFzCHnNg2YzKCD5XEi1X1X7gXB8OSCKrESCfr8IpldTRvd0RiZonmMabkRgOuh7fnNcv+cHq+gtie2UB0qjVGrN1fTRl8ks+9EMsILeFn1sruRjGb2RHK1JLO+PyC392YY7WUyO71O5peN5Gd0IwC+Wd0Go+VEMDslN8G51ykR5Jd3A+de9pihaiquXHQnck9NaXRm+wL2+9saY0Gr4kk881FcZyGgSK6S3I/uuB7aTszgdssWLVZoc1v/7L0RqjsBKAQU4YX8u5GMe1GMzHpZsc169V4UI7FSPLmggmB4cV3zNIH5MoWTXid7ndp1HQmC38NTLB+mffbN+LH7OPdyMP6nkntBENzdv4jOALsRAA8iQOPNgiBktlhlY+vPElgYLXudygkv4F30pzQyx7e1RrZ4/nXqvh3Sn8lsEndKNLy6sKbObRrA1sjciUAJeWhgYh3L8IWurJnMVpPFqb9d0NHzXbmXwWjJqpdhn32e/hSWeGF2ecfeV8g7g5vbNBBVLIgtE0YW8RMqRIrJjW7ZoqffnhWFGwGILRUWtCJqrqJt+F3EHUxkN8JoSZXi66HtHkSALVmwF4GDn43TWB3OvU6jVI/VJ5x72cOEqilMq3j6U9jiBasVmXpHjd8tFhDx04KQKKmtnElU+bsTgFcpHJZ4vpo2ElsqDH3LKyIptjVGpdpQShnC3jjXQtrFI2s8xTJfsdzatXctYh9MALLq+w1Gi95gqaGPxpYKsZzcbgQgOK9vflVtbxuDNRhrDHbm5Hdw7uVgzE8l99rd3TUYLZ2COZ+s7tepHHL3lFprXFpXS8fWc5sGLgVQsUcOcVEpFf6ZzO4UzpVRh3Ia+68G78XuciMAXkFtrZxJvcGyodI/jmNiVyETaeldWzsGTBhWKzg4uZlRJ8tqkI3OKu1tBbAyzrPzXbnXmlL3wM5UzoMIJFaKRcOrzeyJmFLh3Uh6bKmwhjH6JJ7p6U+5FtJ+KYDyKLazS7qQXifF2K0bAbgXxXjborgW0p5cJbkZTsPAP+9LDivgpVZLyN1T+KTXlw4qnHt9KWKnpjzOvexF+VE1xVMsJ1WKa+gjc8vq/BZ5UqWYJ19W7hi8M7luBMDTn4Jazftkduc2DVS2jzxNYJZRh8rbhsMKeCWUoRr66OtUjk9mdxN7oowyqDdadAZzdIkA011uBOBBTMe6Ug/B8IZSX0watH8Z3QilCd67HGFNhSBkNeZt615jDLYw+tivJ7mDcy8Ho31auRc6EWVARr8FguC55R1qz/SdSMTMyP5F/iAGWU9s75s570u+HEiNKhbY84a7UYzYUqFAgQSgCivg2T9CKdVS1IAMlcfw9L4jzB8+pJmlHQfLyaHVfVfupdGZgvJ6MazO+ZASKkQvktjuRCAgp6eEPNgtQ1ZvMZzdCUiCphbOZEypEAtgaGO33KhiwTlvUnSx4M8kNlbhlaA2gDulM5jxGa+vGBQ49/oK0E7HJTj3spfjEWqqiTWBRXD08CZ1CGYz62RuBICQ3hVZtO8h5J3B7e5f8s5AaBnq8x5TKmxmT8SViTy8SaXUYasVslqhUuoQprvcCEBQXh+6uIkmLLptZwX7PIk9Mqs8MO+1tK75sDFzoM0f3L4vJ7N/CrmXWq0eHR2VSCTC99vo6OhH0bRarc3Nzffu3bt69SqBQFAoFOPj469fv7527dr9+/dJJJLValUqlcnJydeuXbtx40Z9fT0IfsYgyXW5F2oaua0xTSyo5lfVJjOIjVrUoH5xTTO3urOh0s+v7rRwJtA1r7ACXsjbPq+gtvO+5Ouh7QkV4iLSYEQRH308iBncuDLh1eC2P3zI10La48tFqTWS5Crx1OI2WzJ/P7rD059yKYDyOI4pG1sfm1MqdxDbSZPZGl74ATOLLhE4sw24Q7gXDMMWK7im1K1saqcWt6cWtzU6hA9BENwnX74XxfD0o1wOpL5K5ZRRh+21T1QJkhYtrVZ6K5z+IKYjpVrSIZx9HIc4MD5LZF0KoF7wI9+JpFe0Dd+OoF8NbkusEDWxJt75E13wJV8JpAbm9s4s71iRqG1ITAp8+yIEcO71RXCdpsJnmXvBMGwwWmdXdg6oqbuH1NSbtK7wwr3XAaq1fDK7R2e33qRyEipE96IYmCp7msDMaRywDxl9L4oRUyq8E8l4lsBa29Khg2dtS/c8kXU5kOrpR7kXxeiTL2MfjWqtKb1WejV472VUwxg9MJFvsYBvW+XYHVEL1x2t6YcMy1PIvVJSUi5dunTv3r0Htu3+/ftJSUkfBXdlZeX//u//hoaGDAZDQUFBRETE69evi4qKDAZDX1+fl5fX9vZ2S0sLgUDY2NgYGRk5d+7c5OTkR6vCTro095pZ2smokz2I6XiZwqnvGHs3O4X2S2cwN7MRsvW2VR5fLkqvldYyRl/Y5k4uBVBjSoWxZcK4MiFTNN8nX+bKFrFpYU8/SuhbXlZDf3SxoLxtOLVGklItYYnnA3J6Qt72lZCHshr6K9qHaxijwfm9d222k8PTWxqd6XUax/4JwUz7MZydasch3MtgsnYK5xqZ49mN/c8SWI/jOvOb5aubOjSkrWJys7J9pL5zvL1vhpixb0Jn8znt6xDMUbqnGpnjhYAiKK8P6Jq8FU73Cm7LauiPLBZEFPE7hHOi4dUS8iCNN6tSG3V6c3f/UlSxIKZEmNXQn1wlkY2ufWnMNqcSwY9qDM69fhTyP/y+Z5l7qbWmirbh50kH1VT/+HpF2zDAnZpbUaMLi/7ZPZgrD6rSn8QjC4uNzHESd/KmXXKOp/HMlGrJlaA2TPPfCKPlNQ2kVElqGKMa3R5DgiBoQ6Vv7ZqsbB9RTG6a7JwZjSYLSzSfUCEOzO1NqZaIh1cPxFk1mqxJlWKsfjcC8DSBtbmt/yFj6RRyr3/961+dnZ3Ly8ur7zelUvlRcJVKJZfLtcWfhGpqaoKDgzs7O1Uq1e7u7uDg4OXLl1Uqlb+/f3V1NXr5mzdvysrKDlRV/uH2z3/+Mzc390AZlzg0mKx5TQOYTbcHEXgXncVqm4Xqki5ctCVAjS0VuhMB38xupmi+jDqEmRPdj+4YGF+3WiGLFUmY2idfQs0kvYLavDO4pO6pkPy+QmDwTiTdnQAkVYpfpSDU6lpIeyGgaO+bsXfZS6wUb2uMFLu4fB5EgCGYs5n2I5U7w/SMUqm0F3tOTs6///3vxsbGrxY0BMEDExuhb/uKSIMYqu5EoLJ9xApCyBCFYaPZyhDMPk9kZdTJ3ImInenDmM7A3N7ytuHwQl52Q38hoPD0o1zwI2fWySJs35pImdjOd2kcpxZVBqPFZEbiU+zu7oIQJBxeDcrrfRC9F3Qtsoh/nFRO6OScyYzYzH51Z136QpFIZC/6N2/enD9/fmNjw9k6Nb+qDi/kB+T0Hv0XVSywX+t3tl44VXuamprsRe/u7n7v3j2nauHJNAYEIWrP9GE1BcOw0WTVGcxWENIZzKg31Y1QRMljVvPuRCCjTvY0gXk7gt4nX7Z3GHqT1kXtmX6RhHhunfMmvUzhZNTJ0mtlT+KZ57xJLPECCCG6C92siKcXaJ9hBYLh4ZmtP5PZdyMZfyZzboXTwwp4i+sfhImGIJgnX7ZvTAll6EetqJxC7vXkyROpVPpeRp//D8PwwMDAkydP6HQ6uqS4tbUVEhKSkpJiNpsfP37c1taG1hIdHZ2YmHigRq8Pt19++cVFude6Uvcwdj+vnxsBiCkVysbWSdzJiEK+BxFIR54ZVlSJILlaEl7Ir+sYK28bfp7IepPWVUUfJXEnN7cN6CtZtWMAuFPJVWLbNExvRp2smj4aXSIIyEHslh7GdGTW96MfH4G5veGFPCxqK2oSPr+q3tGaGpjjr1I4r9O6WjiTWp1pYl5VACjyW+QjM1tW62dWfg/IyOGHs7Oz9mL39PT829/+9i3cy2wBazvGkqrEr1I/mPB7lsjCZh8NJktoAe+cDynJlgqzEFAkVUmIGdyCVkVes7ycOhReyEMDST9NYDZzJpIqxXcj6clVktauyayG/iLS4MzSXoRDg9FSRBq0T+V0O5wuGVk7GigIghZW1SWUwZzGftnY+o/SWUc38nv/Wl5ebi/633777ffff8e51/eG3Rnqf/Hihb3of/7557PJvXQGs2/WXlQaVI0/S2SptcaRma285gFUz2yqdLlNAxl1CHPKbRqg9EwT07noflKV+EFMR23HWDN7oog0GFnMvxNJD87vK6UMVbQN13eOJ1SIauijEYX8qGJBGXUY/VCPKxMZTdYjhoHFCgJdk5cD9x2/bobRhEN76T2wCw1GS4dgzjer+2kCq4QytLKh/VEf86eQe0kkEnd396CgoMT3W21tLQb94R2JRHL9+vXa2lqj0QjD8Pb2tp+fX2Rk5MYGErr9xYsXJBIJvSosLCwzM/NADboPt8uXL7so91LrTAG5H6Q4jS8X+WRy/0xm79lolwhymwYSK8XnfcnuROCCLzmqWMCTL2fWy66Htp/3JQfl9Sp3jLu7u2YLCHAn2nkzlwIoHkTSOW+SV1Bbh2AWjTfhk9mNLUoG5fVmNsjsQyG8Se/aUOnR+RXljkGlNlqs0OzyzpWgtnPeJA9v0pVA6ujMxycyD4jm+x1CEGQv9rm5ucuXL38L9wJBiCGYjS0VHsh0Fl7IwyiOxQrmNg+4EYCbYbRaxlhUiQAVxHlfckQRv71vOrlKshe6lghcDqTWdYxNLqgEgyuXA6ke3ntSmF9V7+7uWqxgC+cDPfUikT029xlUF9c0V4P3pHA5gMqTL38/hJ22ZrPZbC/66urqK1eu4NzLaeXlwIbp9Xp70T99+vRsci+LBUyt/iDJT0QRf3hm84qdnhmbU4a+7XuawEyrlcaVia4Gt9V2jDWxJnIa+2+F09r6Zm6G02JKhc8SWH7ZPblNAyH5fQ9iOmJKBI9iOxn82StBVETbE0kXAyj1neMeRKCYPHS0UQQIQV3ShVt2tvbvrF2HZ7YOUCskBiwE72hNm9t6dL3yQAEHDpijqzqF3Ovu3buXLl3y8/MLfL8VFRV9FAWr1UqhUK5cudLZ2YnmUZmdnb13715qaqpGo0Evyc7OTk1NNZlMGo3m2rVr6BrlR2tDT7quvRdi0z2w7JvVnVwliS0VvkhiNTDH0bWt/Bb5s0RkaZ/SM20/N3YjlBZdLMCyMd6P7qDxZsbnlfOr6oVVtf/7iJ3ot1FUMd8vu/teFAPomrodST/vS74RSqtsH5lfVQfm9j6JY8aVCZOrJCzR/IFnzGS2Rn3oVxxeyMcYyRGyOLGfHGLvta0xNnaOs0XzL1M4ceWixEqxTyaXI1kYnNpcV+pRW/jVTd2zBNaDmI7YMqF9XPs7kYzUagmJO/UiCbFCtRnXM1jieb3RYh/KC03QgcYb3FTpwwt4VwKpF3zJt8LpTayJoz8rzRYwsx7xTsL+AnJ78eUq3N7rxJ4yZ7vRWbP3giBYrTVNLqqml7YlI2sPYzsv+lM8/Sl3Ixnd/UsH/NYTKsS9A0v+2T3XQ9svB1IfxXU2sSfSaqQJFaKQ/D608MsUTnKVJCS/L71OFl7Ijy0VxpeLbCshB23zc5sG1rZ0VhBaV+oVkxtzK+qPGp/YbO1l10KQiYAbtg9Ug/GoqbIfO6JOIff697//PTU1dRxY+/v7//KXvwQFBZFsG5fLvXr16rlz5xobG9EzWq12bGyMSCSWlZVlZGQQCASjEZnXOWJzXe4Fw/D04va7HKX3ozteJLGr6SPoLAtqmJXV0F/QqmhhI/5x2Nv3SlBbZBH/rs1X5Q8fcmqNNL5chJrqs8QLz98HJkbLRxbxWaJ58cjqyMxWcpUkCMlpI65sH7FxtZ2CVsXzRNbD2M7shv7VzT2XFhRnvcFCfO94jFb1Jq1LZ3Ci8OsO4V4QBKvUxibWeBFp8GkC61FsZ3Zjf13H2K1wWnghTzC4gtg3QNDKpo7Gmy2lDKEpGlFAroW057fIC1rllJ7ptBopArWNeGn15pcp++EkbC7ZvajvDwRBmyo90DVVCCh6B5Y1OtPR338GkyWq+AOd+CKJrTN8MnT1Ec/IafoJ516nSZpf1Jezxr0W1zTZjf2PYjtfJLPftsrZkoWIQn5YAS+9TtbMHn/9obGEdwY3rVYaUyIspQ41syeGZ7b4g8vrSxwvkQAAIABJREFUSj2dP1vLGPXJRJYsH8Z0lFCGgvP7boTR/LJ6mtkTTaxxtmQh9MPwQy+S2OtKvcUCKiY3oksEtyPor1O7KN3TuveuYJjUYBje0Zg6hXOFgIIrW9TqkdR22K/OtnMKuVdcXFxjY+Pm5qZerzfYNpPp406kIyMjZWVlVe83Go1WXl5eUVHx/kSVWq22Wq2Dg4MNDQ0tLS2Li4uflZ/rcq/DtvaFgOJuJONWOM0ns/tlMls2tra4roku3gttd96XHF0saOFM5jT2RxTy3qRykirFmKn+49hOe7NxD29S78CyVm+eXtpuZI0/jWf+mcy+EUZzRyaTB0nc/Yz39gbmKNoghKzHoZZMaFR9Sve0vd3lZ4XyvQt8I/dCQ3iYLYgnAUuEOIHejURcr92JQE7jAJo2wD+nZ3Z5B82SaTBaFJMbhPR9b0dCelde88CLJPbLFA4xvSu5SrKwhhiZgiBE6Znyyey+EYoEU0X9J+zN5C1W0GDcM8A/GiUkt4FsP7eBOxGopo86eczbo3vkkF9x7uUQGF2xklPMvUAQMhgt9k+3FYSK7dyAPIhAEWkwJL/vaTzzciCVwZ8l27yjboTSvDO4L5PZle0j6HpIYqV4XYms7oEQEsVmZnkns17WxJ4IzOtNrBBhSRvdCMCLJLZ8csNkAbkf0zMbKn182X5O4dsRdMHgCghBh5sKQpDJjNzNyQfVKeRe58+f//vf/37p0qWr77eoqKgTE4Prcq/DtvbhBTyOdCG3acAvuzuuTPhucdBiAUdnlUmVYkJ6Vy1jLK5MmFQlaeubqWgb7pIuYuE90cmYty1y1BjfN6u7QzA3PL1ZACgq20cwk3C0WFKVGP0MQg/dCIC9gTkqOJ3B3MKZfJ3W9SqF08Ac/1ERWT41ir6Fe4EghLoRlFGHhme2shv6vTO5qTXSqBKBpx/laTwzvRZZ6bse2s6VLVqt4MKqupE1XtsxWkIeDCvg3Y5A3HlKyIONLMRG9U4kcigeWTVbQBAEl9Y0b1uQPI+5TQNZ9TJqz7T+G+YL9UZLe9+Mdwb3eSKron1kXfljfLM/JYUfch7nXj8Edme46ankXjCMzL6Tu6fiykXk7qkdzd50uFpnehL/QSYSn0xuVoPsz2R2DWNUuWNQa010/ky+TdtElwg4kgU0fsS9KMb4PBI6AN1MZitfsYz6YBWTBu0n768EUgHulNUKfVTPDE5t3rF9kaKviQu+5GLS4NqWrr1vJqFC1MKZUO7seXq9v5Wz/z+F3Itj29h2m0wmOzE5uC73Omxrn90wUN855ulH8SAiTr/PElho9gadwTI6q9wzh/QmXQqgkrunkysl/tkfmOqXUIb0RsvWtmFHa5pe2vGyGctjlvsY00qxRVvFDt0IQETRQXMum+k9pFIblTsGi9UpwkzYj6hv4V6oG8EfPqS0GikxnfuHDwn1Y0isFL9J6wrO70MjEz6K7ZSNrS/YrN1vhtGiSwSP45AAE3nN8sDc3sdxnXFlwmibMwSlZxo1hljZ0N6NZNhMVpH0HS2cSaNdLBz79h9zH51I29YYt7YNJucI9nHMln+/Yjj3+n7YOnnNp5J7qbWm5Ko9b6rzvuTshn7Uz/pdWJmQt/tJYN0IQE7TgEpt3NoxoNoGhCCmaP6i/97L4lY4rZw67E4E3qR3La7vGU/v7u4qdwxBub1/+JAu+lNiSvazcbgRgFsR9C7pIjo9BoLQAT0zu7yDOjyib4rLgdTajrGcxv4Lfojj13mb49e25jMWQU41ok4h97JYLFtbW+vr62vvNzRk18ng7rrcC4JgjmThWkj7Hz7kC37k2xF0lnj+ZfJ+yANPP0o9cxwNrJJSLbFnS4G5vanVkg7BbHKVJLFC/DCm424kY8kWWwUN+oLYgUV3JFaIi8mDffLllCrJ7XD60wQkmF5P/9L04va9KMYFP/J5X/LNMJp8wumiJR09eL6Oe6HI1HaMZtTJ4sqQ+LRXg/fjCj6K7UyqFNN4s2h2psQK8dyqOqthLzZHSH5fZDH/cgDiDeQV1JZQIWpkjceXix7Fdi6va1FX02r6qH1OIUJaFyoRg8m6vKFd2dR+IxU7GpMz8ivOvc6IoA930xW5F/b5NLO8jSYRsbeIQsJfKZZR+11UvT+M7ZSOrqHrd8Kh1XfK+bwv8na4G8WYX1ErdwxTi6qpBZVSjTik28dQPedNiikVJleKqb3TK5taiy1tBghCNP4sNtf1KoUTUyq8HIgosUsB1MQKMbaggSZZ0RnMC2vqNaXOYkWSnbRwJr2QFCkkTz+Kf05Pp2juYexeeEKEuoXTOZIPYoAdFplTnTmF3Ku1tfXRo0f379+/935LSEg4MdBdl3vBMLywqi6lDAXl9UYU8YvJSCZs+5wPf/iQ3y1gmSyg3mixj4nnRgCeJ7I4kvn8FvnzRNbzRFYhoJCOrnVJF4wmq8lslY6s5Tb15zYNPE9kPU1g5TYN1DJGBYPLOY0DT+KZSAz9zvGpRVUNY7SYPKiY3DwQjPjEZPfVN/o67mUyW7uki8R07l2bl2J6nfRiAAVjtLfCkUASec0DflndiZXijHpZr3wJS7X0IpldSRtJrpL4ZnXXd47lt8ifxCFINjDH0QDQeqMlt2kAM5JDk87S+bObKn1l+8jzJBa6WIBFi/7qvp/xC3HudWYHgCtyL4sVlI2ux5QKb0XQQwv6ePJle4dxqy3SzdWQdkwL3Qildfcjc1HI55zZqpjcLCYP1jBGJ+ZVisn1PQWezC6jDg9ObT6O21+U9CAC0SWCMurQo9hOQnoXCckYa7FYwfrOMSzd9QU/clqttJkzkVkvo/bOqNRGzEgLfRnlN8sfxb2/XG/W6kwcyUJWQ3995/jqpo4rW0DNWNHWXglqI3cjS5auMiBPIfdyd3cvLi7m8/nC99vIyMiJycN1uZcVRBK8Zzf0v0rlPE1guRMBv+yexIp98/lrIe09/Us6ZNEPovPtjN+9SZXtw/3j669TOWiwYw8iUEkbCcjpkY2tK6Y2U6sl9Z1jGA9wJwKtnMm3rQosMrIHEaDzZ01m64FQxScmtW+80ae4FwhBxveh5A/cAoLhwalNzITiSiA1pVryMGbvM86dAEQU8otIiugSgXcGQs6C8npnV3ZYonkPIuDpR4ks4r9K4dyP7kirlaLxo1EF5EEEmKJ5o8lqMFp6B5Yu+u+ROXciEG+zbG1kTjxPZL1IYr9IYl/0p1B7Z+wtag80Ej/8LAI49/osRKe1gMtxLxiG51fVQXlIgGv072UK510gLmzqC4bhqcVtNBcQWiAor3d+VY0VgGDYbAFNZqtgcPlti9xegTezJoqAwZcpnOeJLHRJsaBVjiVn9PAmdUkXjSarYnLjsZ3d2Lup+pVN7bbGiC5cmi0galJiMltJ3KlXqZwrtlipHt6kbtmiyWK1xc1HONxn++L8o+4Ucq8rV658Nuvi9xOMK3IvCII3VPpG1nh+ixzomnznJXcviuGX3dPKmayijcSWCu9HMwjp3Gb2REXbcCGgGJ7ZWljbKQQUL5LYr1I4ZZShivbh2DJhXrM8o152NQRZOHuVwkmplpRShmoYoynVkgPh2ivahp99GIEiIKdHb3SisBFfNEIOcy8YhjU6M0eKfKWRuJOH7UAPfALasrpy6zrGAvN670UhwbpqGEgmgKhiQQllMKlS3MgcHxjfUO0YWtiT4YX8+HIkXKEbAchu6McIHKouQ9/yJCNrRaTBavpoM3viTVrXg5iO+ApRSrXE058SXSJoYI6HvkVC7LxtkUcW810X9i+S0XcqjHOv7wSs81frctwLgmCubPHouSKzBRQNrUYWCW6G0SKLBLLR9QPRFnd3d/VGSzN74oACjysTciQLYQW88AJeGWWohTMZVfJBSJqwAh6NN9PTv9TaNemXhbhyJ1SIxSOrHYLZjHoZpWd6dFZZTR+poo0srKlnl3cSK8XB+X3ZDf0vkth3Iunk7qnytuGK9uHpxW30cxGbw7uNzOHxDszhOf/4OYXci0ajvXnzhkKhcN9vcrn8xCThitxrQ6UnpHd5+lP+8EHinTaxJqaXtje3Dbaopz2E9K7MOplsbA3JUe9POY+E4kRMslKrkUB55O6pqGLBJZvh0eVAalqNNNRmkhlRyI8pEVTTR1u7JmNLhWh6Qex7q6J9OCjvA8vNlGoJGvPzxCTlwBsd5l56o6WibRh1L7joj0xTqdQf2IEipg+8fdMHNwLwMpk9Pq/a3DaMzynrO8ZshnekC36UR7GdSBKMzO6bYTTp6JrZAq4r9Qz+LOr1E1sqtDezcCMAsaWC4Py+875kT3/K/WhGn3w5rVb6KpXjaTOD7RTOoUYbaPhBrmzRdWF3oAS/uiqce301dK5+octxLxiGpaNrR9tIoQZhKrVxZnlHpTaCSMrEg8EabGlLJgNz9+fPPIhAp2DuZjhiDYa+IASDK35ZH7heRRbxvTO410PaG5mIZWopeXB8TpXfIkd9ti4FUEPf8uLKRJf8KXT+7N1IxgVf8h8+5Gsh7TWMURpv9mYY7YIv+YIvYoiMJufAbNdml3cO2645/+g6hdwrNjb2L3/5y/9ntz1+/PjEJOGc3As1XdzRmjZUeqPJioaJQjEBQaiRNe75fnHKjbDvmWK2gC3sCUJaF8CdrOscu+RPwSaZI4v4wqGVN2lduU0D9rnoH8Z0vHP9fRLPFA6tvEhi13eOM0XzSHx26QKa2cbDm3Q5kNohmKPxZg7nujkxMTn2Rge4F2zL6mr/XXg9tB1NB47eF4ZhKwjNr6rrOsZszJXi6Ud5Zw+3uY0kU9pQ6X3sYsme8ybFl4lep3I8/SjF5MHFdbVWb17b0sWVic4j6onUxJq4FEDFcjfR+mYwMbkRgLgyoX92j4ctHVNUMf9AfNS4chHOvb5lMODc61vQc+lrXY577e7uavXm7IbP+AaiLwuNzrSm1Bk+fFmgP21rjcPTWyzRPKJ23iuWyKIPZrkSK8V0/ux+liFbTiFUL6E55a4EtaHWYNgH+c0wWlSxAJ3sx066EYCA3N7ajjH7M/EVp0FrnULu9dtvv/X09KBZsU/+2XZO7mU0WdniBb/s7sfxzEJAsbCqxqwazRYwr3ngQDZrNCILCEFTC6qs+v6HMZ0+md3lbcPY0uGLJFa3bLGtd7oQUNinL70W0l5FG0FnkvNb5I/jOum82bUtHbV3WjC48rZFntc00Cdfau+bWdvSyic385rlxXY5nk9eXg654wHuBUGwYHDFnpJe9Ke8W0/EZu9tMb2UWfX9D2I6/bJ76jpGq+kj6XVSGm9GrTXNr6rvR+/773gQgcgifjNnoow6FJLfdyeSgeg13iytb6awVRFRyK9hjKIcLqFC1CdfPpCU0z+7p4k9EZTXa5vznz2QbOBVCsepMgQ4RBwnWQnOvU4Sbae6lytyLzTye3vfTGKFuIXzEVuI3d1dk9naJ18Oyut9ENOR1zQws7Rj97Kw9o+txZWJ3qRzevoXaxijqGKh82afJ7Hs6dGbtK4m1ngzeyK2VJhQIeoUzt0KR8I7o+HsM+v7rwS15TYNYD6PbgQkBW1EIT+nccA+arQbAXgSz6zr/IB7nQ6tdQq519OnTyUSyeGZ0pN5bp2Qe0EQLBpexbxL3IlAfrMce+MiRGFoxT+7514Uw50AXAlqy27o39w27O7ubmtMGXUyLFT91eD2zPp+r6A2dyJQRh16msC8F8koBBRo4HX0uXqT1hVeyKtoG85vHnAnAoT0rrE5JWSb5kF9Hk1mq95o0RmQwMOo5abF9SNFHeBeMAwvrmve2V1hyuhJHFM2to7lINvaMaTWSDBg70TQM+uRMBOBub3U3pltjTG9Tor96ulHedsif9sit0+s5J/TE1MiiC0V5DXLI4v4gbm9pO6pTtF8QrkwpxFBHr21BxGoaB/5M5n9xhaW9mUyu4o2ctGf8iSe+SSe6elHae2axG3tv0Uz4NzrW9Bz6WtdkXuhgCOx4E0fz2YBwbBichNzb3cnABl1sm0NkhgGguHZlZ13Tj+3w+lIztkyYUadjJDOfZXCiSzil1KGMLXjbot6/yCmwy+7uxBQUHunX6VyHsV2PktkeQW1JVWJX6VwboTROoVz9iEhnyWwCloVsWXCItKgvWNWMWmQK1u0r9xea0EQjAbNd7mxdAq5F5FIvHr1anR0dGpqappta2xsPDHBOCH3MpmtWQ0yDyIJowKP4zrReHf/P3vv+dS4tmYP/zfzcT7cqltzp+p3b9XUnDsz77l0zjmH07lNzjnnnHNOjRM4G+eIbTDRGDA5g3FOknlb3rRQm9B0N3TTHFQUJcvy1tazpa2lvdezltvtNlud3T3TUaXixCppBbE/r1WV2aD40D26vG4ZnVrDStWf9ydGFAvjKiS5zapSfB8oLTCPV9s1FJCLsJGCCwQ5zcrH8fSXKchdFFIgqCANtLI0k/MGYFUOGOhc5UxJh5ohnURFk39Y6xzRgbyw1+bmptMF9QwtIu5jUdToUnETbaS2a6iZOQJC0T+2jB3ZuhRISq1FlM9uR1LeZ3JMFodmaj21Vv4wlvY6jV3Q3pte3xNXIcG+I96JpNR0DkaXiW9HdMVVSOo8ehMVxIFm+giBq02v70Fs1xBTzuGZRUN+ay/S8SWzqkgD88vGCuJAVKkoulRcRR7UGxCQfbp8cwROsdc3h+5X/+Gvi732ibzDCdV2DV4K3Ba7eRxP104jwvQuF8RTzaTX9wDH67S6HppYl1QtexRHLyP0l3T0ZTQoniYw/khm5jSrEqukPjj87QhKBbG/u2eqgTYcWy6JKBYWtvXWU4YC8/hE7tiGyS7pn48qFSNi0eWSeupQhseLVqye/6iV/zqN7fG07Z1ZNG6Y7JXEgRcprBcprEriAJAB+9WfJicQe31U84qMjIyJiYn/tNTV1e1ztR3uV8cQezldUBV54DOZzSzu4hriV213uDq6tYAjeT+a2s4efRBDuxRIuhpCfpnCUmkW0UlGHxz+YiCxoE1V2zWY0YBAAYC9LgQQo0vF1Z2DWY3K0ELBrQjKWV9khn5kci3K43hzNYT8LJE5s4hIG5utzirSwG2PQN/N8K6sRqXBtLvV5uE2ylGXthN7AUbX8rplWLcmG5x/ksC4HES6EkwCodBOr71O27a4vhJMTqySvkljn/HFR5Uimv5OF9wztFDY3htfIXkYR78XTQUmsih6fhxPlw0uLKyahyZWmbKph7FIq10JJn+0VxuaWJ1bNmmn13XzGzY7YqO2YbKPTK5pp9fNVqd2ah1U5nIQ6WkiA7TLUcfnBJd/ir1OcOPuf2onEnu5IPhDtxZLI3mT3g247RAEj82sp9bJb4Z3XQggXg/rTKiUDoyvjEyuLayaE6okvlncuq6hjIaeZ0nMCwFEHxz+USydIZ0cmlh9kcy6Eky+FEh6EEMjC8anF41gEsDlgpfWLMO6VUHv7ON4+iVPJ/k8iTkxuzG5YBib0RtMdo8PJDJGoJvb0M1tmK1OMKn1qz9NTiD22uuGKS8vHxsb2+vbw9p+DLHX5ubmwor5YSywlyFcDiZ1CiZcHqHhsRn9m/QtEBBXIfHyVSzuUHdwtMAm4rw/8UUyU6VZool1NV0D0sGFm+Fd5/wJZ/0I10LIHMXMlsWQL+FKMImjmM5uUmBHibMaFQurJkHv7NMEBgogUBOJwwr+zypnJ/ZCa+JwQnGVWzgVnHhSjWxFbykj9KNmTa/T2JWkAVwmJ69VpZlcA32N3miLLZdcDESySluZGol6PrEaIdffCOtMrpZRRDqDCbFa2+n1UdDehxLL0GqAlV0rc5y59lve4XbX0prZYN7qhb1O6ud+PMVePzf+P/HoJwl7oTmDK3rL0MTqq1T2OT/E3OxSIKmM0A+8emDYrRxe+qwDj6LSxLqpBcOq3jo4vnottDOpWhaUxz/vv+XzE1chIfLHMhq2TVDO4PCRJaLFNfPCqslicyJZlJ5OLLpsm6Hhg8NnNir2V9hGKjOy9DTxF36a/Imw1/v37+Vy+VHfq8cTe8EwvLBirukaym5SitRzFhvy6uB2u3tHl+5FUwEmyG1RYWcYQYrcit5Kk0yGFwlrugbb2KPvMhDpvDJCfx1liMQfL2rvDSsUlODVoYUCnmomuwkZ+irFqzPqe1pZmoBcHig5IJfXxBiJKhGled6ZUOyFmqcedaMcdfn7YC+TxfEqdXuICyifDetWMxt7Koj94UXChEppMwOZKMxpVj5JYATl87lKRIQQiK7RJTo8V/s+i/Muo7uWMtTK1NRTh95ncl6ksGo6B5fWLDs9biNLRNY9lNJ2rQzK/DvqKH1D+TDsnpjdKGzrfZLACC7Yisw3lHN0PznFXkcX22Ne8knCXqh9dVSpKKtJUUEciKuQBOTycppVmQ0947N6z5wjzJBOYZkPV0PIqXXygFyefw6PIZ0Sq+cSq6XN9JH0+p6AHITplVQty2joCc7fFpv4I5lZQeoPLxY+jKVlNii00+sQBBvNdmxWuA8OH5jL2193EIJgjmL6VsS2BP8v9zT5E2Gvd+/e/WmxF+jFgCsWmrTidrsX18zo7OHb9O7U2m0V+7O+eJZ82umC1NqVUry6halB+Y9nffHVnYPvMzlN9JGIYtHVEPLDWBpFOFHTOeibxbkeimh+nvUjlOL7b0d03QzvKsWrz/oRLgYQI0tE7zM5KPZ6lcoenFiFd+jHHPM+d2f19sFeEAQ3MUawQ4AdHO2K3prXospqVCRWSV+ksHBZnIRKKUquvx1BUY4swTAiIc2UTZ312yLq3Y2iNDM16Mczvvh66rDDCZUT+tHygUMA8ADZWU8Igpt3VOY4c+29sj3QyOw8tZ+15RR7/azI//TjnhjsBcNunnIGdCw3w7rS6nruRlFfpLD8c3h3o6iptfKFVTMEIdQFIm8M24E/S2TGV0pBFteVYCSVO7JE9NYjbR9eJCwnIP1/QVsvkTcGnh2IaWOtHPuGn1IrX9FbXRBc24UYb4NHwxlfPJk/vn+/5Ha7dXMbWGu7X+5pcoq9DvkWPp7jXnudpAuC+0aXASU8pEAgG5zPbkLI8m/Tu5vpIyaLw+mCWpialFo5NskODN4g2qrVsvzW3kdx9FK8uo4yhDWL8MHhQwsFyTWyuAoJqsL3OJ6e06wMKRDciaSEFAi6e6ZtDtdedfuFtu+FvWDYvbphJfHHMhsVzxKZKFEUguDxWX1Oswp0W2l1PVjq/Xl/Yile7XBCRrMdq0kblMf3mhR+lco2WRwzi8Y8D5v+dRpCrt/fonFVby3Fq/9I3q7McY7z6PQ6tqdGI3N86nyKvY5PW/zgmpwY7GW1O7Gyf77Z3ML2Xlw2534MNblG3sHRVhD7yYLx/rGVsCJhTrMy2NOBB+by8ltVLz8N6p/1JYQUCN6mdwP8dNaXEFEsbKAND46vbpjszfSRt+ndgXm8xGoZmnHvg8N/JKr2j6243e6FFXNRe9+zROarVHZN5+BBeMAOJ4RS9X/Fp8mfHXv19/e/ffv29u3bycnJi4uLYCZuZGSkrKxseXnZM9Dq4nK5z58/v3//PpFI/OLt/WthLywlfG7Z5HBCeqNdO70+tWCwOxDPLAiCu4QTCVXSyJLP5uNDCwUJldL4Sml6XQ+ZPz63bGpiDHvpshS2900tGCT986m18k83JJL5kteq6tUsza+YgS3XF0N6/HfYC3ut6q0hBYJbEV2vUtkpNXK6ZNJgRkhabrfb6YLIgvEbYciYeUKlFKuOcykQeYN0uWCr3ZnRoECHCT36HZ8JGAYXCMDspMFkH5vRTy4YgHDuPhFzu90mi2Ni9jPW6j77/9yvphYMbz715j44hH0CIvNza4U9+in2wkbjT7V+YrCXwwnlNCvRfuacHyGlVj65YBgcX62nDj+IpV0MJF4L7cxtVr7L6L4dQQktFNR1DTFkuogSEToMf86PEFMm/iN5S+XrnB+hjNi/YbIDZXy7A5paMIzP6vFcLdar+2UKa3R6/ZOaq2N8Vq+b37DaEPXvL15LyMPrE1X/V3ya/Kmx1/r6+l/+8hcGg7GxsZGQkJCSkuJwOEZGRi5evPj06dO5ubnNzc3p6elbt26JxWKNRvPPf/6zt7d3/2vil8BeThe0YbKZrQ6DGUmE2+uMbHaX0WJfWrME5PIY0klUf/WcP4EunXwYS6unDIUXCXmqmTWDdWxa30AdRm/FCwHEyfkNo8W+qrf2aZdB2guYi6RLJiF4+9YClcEyvj0Q0LYXYXyv2v7E7btiLwiC29mjWMMA32zu7BLCMF1et9idrhW91c+jX49oGLb3oVO6D2NpUwsGo9m+YbKNTq+jYb8YSBSp59CP5/wIfNXsTzzrvQ4NwbDJ4rDat9KR9toNu93lgjdMiJ8udqMnDxdqom+7sD+MpS2uIvm5B1kcTuQid7n2vLwPUsgX9znFXl8M0Und4VfBXi4INpjtZqsDvR2cLkhvRPp/vdG2tmHdMNkn5w1XQ8jJNbLsJuWTeLpANetwQrNLRgJvLK2uB3ij5TarajoHQTd11hcv6ZuTDsxnNSnvRSGM4RthnV3CiXP+WwSJG2Gd88umnU2/+qnT88HhEZ1I0oDVfhKmPnae6Re3/Imwl5+fn0KhwEZEp9Olp6dvbm663W4ymRwYGDg7O/vw4cO0tLSwsDCAvVpbWwMDA4E8VX5+fkhICLaEnevHHHt58oT1gFYfWSxqZ48SeWPzKyYIhiEISbCDYeTPZnfxVbPBBfyXqaxG2vDQxGoZQU0VT8RVSCKKRTSJrvhDH0c506ddLsUjDkJBeXxB75x2Zp0umUzyyHvKBhfyWpS4TE4Zob+KPEAWjMdXSqJKRFSxzmx1gNcaUJm8VoTjH1su7tUsWW3OoYnVxGrpw1haVqNCM7m+DzTcGfyftWVX7GVzuPLbPjMMiC4V0cS60ELhqzR2G2u0tmuwkT6c39obmMurowwr3OdSAAAgAElEQVRVEPsDcpBhfKpYl1IrS66RdwrGywhqmkSXVC1NrZWT+OPZzcp29mhUqTi2XPLRMc3m6bZg2O1pum04+7PisLm5uaq3NjNGXqexA/N4yJzylzpWCIYn5zaKPvQ9TWBElggVQ4hhJai/1eakiXWlHX1F7X3+ObyPNgkLK2ZwJ+5/gg4npBhajCwRPk1gFH3om5zb2IsAt385B/n2FHsdJEoncp/jj71g2D2zaCwj9D9LYoYUCD50j9LEOsXwYhtL08HR1lGGKkkDr9O6fbO5FJFOrV3xz+G9SmV3CiZE6rmIYuGTBEZOs7KBOsxVzOC5yP40ia62azC0QFDTNUgR6fxyuK/TuitJAw3UYbV2mS6ZLMOrA3J5CZVS3dzGrrcqkkK0ZqmlDMWWSzoFE2AeYOflAUbCjk+3trOG37/lBGIvRHLNaJyfn5/9tKysrGxubpLJ5NnZXcYJ3G73/Px8ZGRkRUWFxWKxWq0fZfEjIiIA9srNzc3IyACBJhAIt27d8go65/PFx8enoKDAa59j8tHtdi+tWYDqHRhhfprAyGxUdAomekeXmbKpwfHVkck1+dDC4Pgqms9yM7yrnjLsl82NKBHFlotjysTNjJGEKum7zO4Cj3g9KOqjJEzP0OL4rJ6nmhmaWE2qliVUSaNKRM+TmKWE/sdx9PAiYT11qIE6vLZhA/NuXpV5mcIS9M6GF217bEeViOaWTQcZf/7BETaZTNhmJxAIZ86c8ZLwhWE3XzV7I2wr8+BlCqueOvwwjuaDw7/L6E6qlp3xxd+NpJD442GFgoextPsx1JRaOUcxHVkiiq+QVBAHMhoUtyO6LgUSM+p7CNwx4Jl9zo+Ay+KU4dXzCBBxG80O+dACTzUzs2QEuiE/OBTYw0HwZ1z+s34EkXoOze3A7gnW3W732oY1vX5b4v9xHH1oYhX0vOyeaTCMej+aGlogYMmn9ikKLdztdg9NrD7+ZMp0BodPr+8Blxy6z/esaLVabNPHxcVdunQJ8BO+p9hD/+3UgiGqVBycL9j/L7ZccjI4l4cewJ0FSiQSbNNfv3794cOHO3c7PlsMJnteqwrlsN+OoJD543EVkuIOhPFZSRpAx9rP+hEaacO3IylXgslZjYr7MVvJ72d88ck1Mopw4kk8vYmO5KpnNipamBqEPv8pB+isL76FOUIT6876Ee5GUYLy+e8zOTzV7D53qwsR1nfuxaZHjI9MdtnggqB3dm7Z9Eu8fn9Do59A7CUWi4OCgp4/f/7s2bOnngUMbu0VncnJybi4uKSkpLm5OfCYx2KvnJwcLPa6ffu2VznXP1/+9re/HVvsBcPunqGF+zHI4x/8XQkmZzcp89t6X6awroV2vknvzm1RRZaIokrFpXg1yLzDZXFCCwVYWfw/kpkZDYr0+p5niUy0qMtBpGbGSHixMKOhJ7VO/jSBcSOs811Gd5ZHeCKrUXkpkBRRLIouEw+MI+TKnZW5GkJOq+vB8nvuRlEFvXPYCUqv4P+sjzqdDtvsly5d+vvf/+6FvYBzbQtD8ya9+1Uqu4WpSavvAYLRqZ+SfSJLRL5ZXDSGUaUiPFcbUSK6H0O7G0UNzucXfeg744tHdJ8/17UHkVnVWzMaFI/j6XciKeFFwoGxlX36ux8QK5PFgdWM9cHh4yul+wx9ud3u/rEVbJ7BpSBSPXXY6YKsNqf/J40SEB/fbO7+aefgBB1OqI46hJ3qfRRHB5fcoUSguroa2/S//fbbv/71rx+DvcAbywHP4hR7HTBQB9/t1atX2Kb/61//esyxl3ZmHSvHhfjFtapA8lNmgwJVdgT3l38ON7JE9CKZFVEswuraP4mnVxD7s5uUzYyRwDz+nUhKRoMCvAeiHdfb9O6azkH0ow8OH1Es/ObJxLUNK0g/uhtFiSoRaSYRVf2Tt5xA7HX37t2EhAQ+ny/9tAwNDe3VcmNjY0+fPi0oKFhcXETHSLHYq6WlJSQkBGCygoKCnXOOg58v58+fP57Yy+mCTBaHSvOZHt310M781t436ex3GYg/V0SxCHmn4Y7FlIqF6tkq8sCzRObb9O7oMvE5P8KlQGJogSCiWBRWKEyqliVWybA4KSiPH+ux0EmqlqFjZj44vH8Or5WlqesauhZCji4Tx1VINVMecqXb3addxorj3QjrzG1RYZX0H8Uh6u0/F0/seuXYbDZsswsEggsXLuzEXm632+Zwjc3oOYrp3GZVdJkY5PgkVkuBp3VogaCwvTelRpZe35NeL8dztXjeGNaBAMjnxFVISvBqVIkNEYyOo0sH5js4WvSl1geHT62V7xTrcjghi815dJNu2PhY7U6vTjmrUYnOIWL3BOtut1szufZH8jaCvxpMbmePuiDY7nBFl32WWBBRLDrICI3LhdDsrgaT0SfBi2QWuOR2VuAbtiwsLGCbPjs7+/Llyz8Me/VplxtpI/WU4f3/GLKpU+z1DY27/09GR0exTX/v3r1jjr0m5w1v0tmP4+ix5YhY142wzqIPfXEVkqhSUVK1LDCPdzO8K6JYFFoguBSI2JOUE/rzWlRpdT2obES4J7GRzB+royDakOFFwvAiYXyFNLx4e3bCB4cPzufXdA2hd5wPDhktszu86Zv7hBftplwQ3MrUoII7Pjh8VqPyF+L+7nOOXl+dQOz122+/LSwsHGSiamVl5R//+Ed1dbXDscVAAtHBYi+dTnfr1i2JRKLVan///XepVOoVQa+Px5Dv5RFWNRW0I/7wjbThnGYl+sB+k97dwhxpZoyk1skL23vZ8umwQmFEsYivmi1oU+W3qoS9s3ktKoZkEpfJIQvGQwuFAbk8pmwKl8V5ksBoxPCgizr67scgHqshBQKUWe+Dw9+K6Coj9CdWSVmyqVK8upI0gCq7Gi2OvJbtIXFcFkczuY7qjZ3B4dPqejY86u1eQT5uH3fle6GVhGG3YnjxbhQlv7X3STz9eRKTq5gpw/ffiaI0MUZSamXvszgdHG0TYwQIfeG5YyjMeuzBWBElorwWVdin2VgQmfkVU1TpZ+jkQcxnVHQYhqcWDOn1PUH5fKpYZ7J8dpGj1TvEFbfb3f1potAHhz/vTxif0e9zJzqdkGZyPRdzDbxIZs2vmMEAz8jkGkrdPedH6NUs71MUehYIhWDFjPq7n/HFlxP6wSWH7nOIKz+Y78WQToUXCfefRgzOF5R2qE+x1yG28q5FHX++l93hUmkWPwrTv83oji2XsGRTwt5ZYP96J5Ii6J1tYSIK2KGFQqpIp9QsRZaI/HN5ZP54RLHweRITzx0LyudHFAnF6nmKaKJLOBFSIAjK53dwtMK+WWzSD4k/LuidRV8az/sTtJ4X7F3j5rURgj7rppbXLFjVLo8xEQ0YOHr98Ff/eHKwl91uN3qW169f02i0jY0N8NFoNFosll3bqb29/b/+67/+v0/L27dvrVbEWlitVmdkZCwuLgKNCTabfffu3StXrrS1te1aDnbjccNenkeRCRXEuxJMKsP3NzM0oQWCovY+ycA8Vznjl829Fd7FU23fPOf8CLLBhZthnUF5fEn/vN5o6xtdxj4IGdJJEn88rb6njNDvl81Nr++ZmNuIKRM/iKElVEmBvCp4DXqXwQH6FE8TGL2jS1j/bLfbrTfYOjja0EJBObF/0aPgt6K3VncOBufzW5matQ3rQR63aPzBVOZX/QT97fes7I+93G735LzBP4d7OxJxB+IpZ16nsrt7prvl00Dy/nkS4j6LAuI7kZQSvBp0bUnVstBCgQ8Ofy2UXNjWm9OsDMrbiozTheQAYt81Y8slJosDnAg4KNoQCCeDobF/orF/z8nu/1ub3SVSz8VXSrMaleMz+r0oHSDBRT64cCWYnFQtK2jrfZ/ByWjomV82ocPPEAQPjK2k1fWk1MhVmiWgSALSQfZvYuDiUPRBHV4kJPPHjxS+/3jsFVb4ZexVcoq99r9MD+Pb44+9rDZXdee2Zum9aGqfdml60UARTUgH5pG0xE+crXP+hI8KXpcCERPGs34EikjHU82g314LIStHltCP55AdJvjKmfBiUVA+v546XEUeyGpUNNFHwouE6fU9I5Nr2Bt/n27Z7UaMK7DdVDt7tJzYj+3WEqtl+4ydH0ZL/pwyTg72olKpUZ7l2bNn//znP/38/MDHqKioqqqqHxbd44a9XBBM4o9d9zC+wQX9NIGh0iyZrU6bw2W2OoAzQ03noNfbRlihsAyvvhNJyW/r1c1tJHh86dFbIrRQUNLRdzuS8jqNXdc1NLNo8PC3Ft9ncrKaFNGl4nvR1KvB5KcJjKwm5V1PEvKVYHIra3Rnzj8EwRabE7vd5fJs2Vv8YmdrAq2XuWWTdGB+YHzl6MY5dh56c3Nzf+y1ubnpcEJUse5FCiuhUhpaKEyskkWXimPKxdc8HgCJVTLsvBuwJw/I5eGyOG2sURSTIbTxOvm6wYaST1f01vAi4Z1IyvVQhFrXM7SIzs86XVAdZQjtLoEc7sKBBRp2Pc0DbgR5ssArd5+f2Oyu0CIEVvrg8I/j6JElooK2Xq9ZReD19tGzEvi+bZjsvaPLiuHFFb31i7OoTpdnsvVrrqJ9arvXV6fYa6/InPjtxx976eY3sMKBFwOJLUyN3eFyQbDeaAvK27b68cHhwwqFqAh2QXsvNucpsgThmaCdvw8O//G3PUMLiVXSxGpZZImog4PYb7/P5Ah7Zy2fvK7B+5XdQ7rg986OzejtDm/hLocTKiP0Y7updxndQxOroQWC25GUG2GduExOvxZJlTt5y8nBXlKptGqPhUKh/LCWO27Yy+mCPnSPXgvZpr88jKUpRrYe0hAEs+RTN8I6G2nDOAzp2weHD8jlVZEGbkV05TYrh3Wr6IQXuAP9c3gLK2a6dLJLODE5b3BByMPR4YS00+sM6eTo1DpXOdNAReY336R3g4yYy0GkRhpCoz6KtoBgWK1dji4T342i/pHMLCP0H0QZ+bBq8kXs5Xa7rXaXWrsiHZgPzOOn1MojPAkNH5NDfXD4lFr5E4zF+IUAYnaTkq+a1U7rsxq3tVV9cHhcFgfLN4dh97rBxpJPk/jj2ul1LNxxOKEK0gCai+SDw79IYc3tprhzWEH42nIsNqd/znaeAdKh5/Otdude5axv2HKaEMvLh7G05BrZ9IJhrz1/5PZT7PUjo32sjnX8sdfYjP4Zxm36QgAxra6nf2zF6YLMVoeXFHZgLi+ieEtAu6CtF5vpElMuRs15t/v/1a3+f2JuQ6VZ+viWqBhetHqcgtFmstldFJHON5t7PawTKFl4Zd7YHa7C9l7vbmrJuKK3MmVTnYKJ8dmNI3pkoJX8WSsnB3uhEUxNTbXZbOjHhYWFoqIi9ONRrxw37OV2u8dn9Kid8xmEBYlYaIFZG7fbPbtk9M3mPk9ikgUT6D1w1o/AkE49SWD4ZnE5imkib+xDtxZ9OznrR2DKJhFZKQgGqAuNKhDKh2AYht0Gk72SNIAO2zyJZxyQ8uxywWarAx3dQQvfZ2XDZE+ukaFvZpcCSR4F16PV1UTr80XsBfaEPXL2fNXsu4zunGalJ1GU4YPDv0ljI06an+zM7kZRBsZXnS7I4YTYPdPbYffFNzM0O4ffIdi7FcAb5+DEKsB2QMYQMO3QOv/0FRh2Y90qz/oRPiqMoON2oHpg3MvmcHm8rTC2mDh8SYcaO1b6s07nFHv9rMj/9OMef+xlNDuK2pFEadAx3oroym5SJlRJ55YRQcdOwQSqMXHOj9DC1ADF+bO++AbacAdHiz4O7kZRsDxOT/+PCL6g/T8MI0YdXjcv7HYPTqxisynfpHd7GfjCbrdau7yzmwKWKl4Pl5/e4odbgZODvbRabUFBQVJS0l//+tfY2NikT8tLz3K4UduntOOGvTyUNWh4Yi2xWvY0gVHSoZ5eMGDnayAIHp1aT6vvqSCqSfxxXBbXzyO1V4bvS6mRS/rn55aNKbVyvxxuO3vUP4f3LqO7mTGyvPZleXEYRly6aruGnicxY8slA573rX1Ct7m5CcNuwPcK+kq+l25uA9WkAVAjrU7u9Y61/6G/59sDYi9wCLvD5WG5IikOBO5YVKnoTRq7nT1aQex/kcyMLhP3jS47PcQss9WR16rCc8cCc3lv0tmVpIH0ernBbD9gVZ1OSDWC8GdfpbIb6SPL65b9aVIHLPYQd7NYnXTJpF8ONyCXx5ZP2z839wR8r9Q6eXKNrHd0GeUsggfJ0wTGwUNxiHX2KuoUe3kF5M/z8fhjLxiG55aMFcSBP5KYYUXCNtbokwTGnUiKSrOEqGCa7Z2CCVwWNzifz1PNDIytBufzgVpEA3VofHadJZ9G702L1cGWTwfk8vxyuHTJpMW65/g0egG4ILhTMI6dcrkWQu4STni9VDuOfTeFntHhrpwc7GU2m4uLi8PCwv7zP/8zMDAwzLOEh4enpKRotdrDjdo+pR1D7AVq63RCRo83NqJev8Mty+mCjGaH3eEymO0Gsx1x9THYjB7HIQiCP3SPXgggXg4ixZRJEqqkmY0KlNO9TyjAVxCEOMzsHK3Z+UO3GwFeqHs0GKJbM9hAhRHCpkcVbGflNzc3P7LyI0q2GQkXAogfurVYvufOwx3ilq/CXmBQympHyHZGj/eO0eIwW5E/4+eBcrng6s7BiwFI+ndilexeNDWtvgfAsoNX3u5h9f2wUKAV24dgi+4D0LbV5rTavYkgQPoLHfPDZXKyGrct53w8ObA76SPYkn/M+in2+jFxPoZHOf7Yy2pzkfnjRR8QZ4jwIiEYAPPP4U3OG0AvCsNui80JTGA9aMyxZrAazXbwFoQwJWxOqw0RQQW380eegMXm9Brf2qtpkPzukcVnSdsKMs+SmIqRpV1//rO6qb0q/wO2nxzshQarrq7OYDBYPy02m83p/AprObScb1s5ttgLiAUfnKqMPf21DWtsueRuFBXor2I53djdvnMdgmGucgaVVwAu9yz5lHRgfmxGv2awqTRLypHFtQ3rzrsXgmBR39yb9O5roZ13o6ix5ZK1DSRl9ccsX4u9Dl6r5TULlnY6OvULyAx6JgqhidkNYd/s6PT6F+29d43Gx94fa99+xhffxh4NyuffjkAYuG/S2SyPhNX04pbp+66F/ICNp9jrBwT5eB7i+GMv3fzGq1Q20Mq+F029Ekz6I5lJFel2vgkjwMvi6NMu9wwtLK1ZwKsaoPBOLRjE/XMfvSJml00qzdLCqvngU4Fmq7OOMvQknnE5iPQknlFHGdopQHg8G/cH1OoEYq+Ez5fExMS0tLSGhoYDin59Z9CPLfb6HqoyDLv1Rlt3D0L8Gplcw3K6vzNc2J8D4v/tSApK27obRfmoO/A0kYHnaNPreh7H0x/F0dPqehZWvGc8ATFoZHKNyBvr7pnWG5HRMmzhR7p+dNgLTMKitFOv4fojPalvLtzucDFlUx4tx673md1E7pjV9uUZCq/DWe1Or8Tb6DLRzJKxgTocWy5Jqpb55/DS63taGBqWbMprstKrqCP9eIq9jjS8x7nw44+9ANf+chApvEgYVyGJLZd8NGE0Y/IQ0fDqDba8FtXTRMb9GFpilXRsRo+QVSBYrJ4PKxTcjqC8TGFlNynT6nviKiTDujV4x8wJWhR2xe12m60O2eBCK1MjG1xAnXyx+/xp108g9goMDPz9998zMzOrqqri4uL+9re/BQYG+vn5ZWRkmM3ez+xDb/jjib1cENzC/F6qMsLp9iT7H3rQQIGA+B9asKU7AOSSw4qEb9K7gbUOwGRncPhK0sCuPGugNIFlsx1RVb2KPTrsBSYoUU6r13GP4Ue32z06ve6bvZ3A+DyJqdIsfy0UhmG3oHcWZfsCeu+6wZbTrHwQQwPivRcDiJkNiuQa2eg04pTwU6Jxir1+StiPw0GPP/bCcu1vR1D8cri6+Y2ddwoEwV4OGXmtvU4X9JEhGoHRr78V0ZVSI78TSclsUGCzrb/YFrsy8b/4qxO/wwnEXvfu3ePxeFar1el0ms3mpqam0NBQrVb7xx9/LCwsHHWLHk/sZdqRUXxMqMpezQFB8NiMPs0zxJXZqCjpUCM3fK0cK3/lg8M/T2IaP4mIepXwUz4eKfb6KWf0zQdFVUvQwcsrHpugb0gUtztcXvTenRkV/jncuHIJu2f6xxPaQIhOsdc3Xyq/+g+PP/ZCs51epLC2knh2k/gxWx2oshe4bR/H0w0m+7BuFTsLcSEA8ZR7ncZ+GEtbPECu1a/evkdd/xOIvf7nf/5nenoaoHu32y2Xyx89emQ0Gp8/fz43N3fUAT2e2Mvpggraez8as5z3JwDG5Q8QCwbOMOA/GL9Bt6CtgG5Bd9vc3HQ6IYPJPjaj983mIEpjObwkjH4EYlxY99WUc/SIR7FydNgLjc9RVPsoyoQ9Np0vMBaND2Jpgr65Xce9vnh2sIftC+i9nlQMi8fWHXErAhdzQpU0sUrap10+4CTIoZ/yKfY69JD+KgUef+wFIunyZDuBxBT0jsP2ty4X7CUlH1sucTihuWUTVgPsWmhnfKX0cTw9qlRsNCP+GdjSfpVWOz71PIHYKygoKDY2VqVSDQ0NSaVSYJUtEAjev3+/snLkCrnHE3u53W7d3EZilTSlVh6Uz8dlcYZ1a0d6FYKsmWHd6tDEqtHsgGG30ewAHzdMdpC66ILg5XVLn3Z5WLc2u2RcWDU7nRA6JG53QCT++ON4+tVgMk2se5PefT20EyH7p7EnZjeOtPJfW/hRYC9AdJ2cNyiGF2eWjNjIfG31fvD+Fpuznjr8IJZ2KZB0N4pa2N4HempsNVCX8d7RpcW1L7B3AXlfN7ehGF7sFIyHFwlTa+XxFdKgfH4zU1NPHT5Ixjv26Ie4foq9DjGYv1ZRvwr2AlEFPbBau9w3ury8btFMrU3OG1Dm7uKq+aOd7o2wzqsh5JcprF7NEvIO7NrqgS8HkW5FdIUVCUvx6rBCIZE3rp1Zt9pdeqNtcHxlZHLtB3jF/lrXxkFqewKxl06ni46Ofvny5evXr1+8eJGXlzczM9Pa2trV1eVwbLndHSQ037bP8cReRrOjjjL8KpV9L5oaXSqW9M/vTHX5tvPd61frBlthW++zRMbTBEZhW+/KuqWovQ98zGtRIak0sHtoYjWxSnY/hvYihZXXqmphaviqWbtjS/je7UbynxXDS420YWHf7OS8gcAbw3PGJucNP2uCaa+TPQrsZbW7qGKdfw73VkRXaKGAp5xBI7NXNY7JdrfbbbI4xP3ztV1DXOWMwWxH8TRaQ5PF0cLQvElHLsi4Cknf6PI+aQQWm9OjPIfYtzfRR+IrJfejqS9SWOWEfgJ3jItExoWW/INXTrHXDw748Tncr4W9VvWWwra+pwmMx/H0zEbFh+7RwDweVayz2pF7B4bdS2sWsmCinT2qmVoHQjbYHpgunRzSrTbRhyNLRPeiqW/S2Q3UYbJg/EkC/XkSs6RDrTdu65kfnzY6zjU5gdgLGXExGoeHh/v6+iYmJiDPYjKZnM6vTrb6hpY7ROzl8hgdfj/OgGCYLZ+6FEQCc/n3oqitrNG9+FLAjO9rRaS8AuVN7ffF11OHXySztsjyyMehDZOtlaW557F69MHhLwYiRjopNfKxGT32UY3wNBF9GURgxgUdLdnf6ywO/vHQsZdH7nnlRcpWxIDFk1dkDl69H7wncgk5XFabU2+0eUF8pwuy2hHvzo+OSbfCu96md4cUCO7H0JKqZav63TVBEJWg4cXH8XQfHN4/hxtbLkGZZBcDibktqpRa72vmR57vr469Eiql+/g4YSOJnaXCbv/Trv8Y7AXuJnSAaksSz+7ci0CJduAuF4xIc8GIt4fHFkKDCtyf8cVXEAciS0QvUlhq7QqYrwcdrHNHNhXaAy+vW7CuvtdCOzPqe+540tLP+OI7fqCe4sm45E4g9pqbm0tPT3/37t3rT0t2dvYPa61DwV4w7F5es9RShmLKxZ2C8Q3jLiMHBz8jm92VXt9z1hd/zo8QUigo+tAXXID8n1s2wZ47ExQFlPREfXOptfLijr7ZJSP224MfbnNz02RxoC5G4En5KoWVVL3l+XM3itIpRBT/ggv4RR/6QgoF5/wQFlpALi+uQtKtmN6VG/RVFfjBOx869gIunKjVhg8OfzO865eIjM3u6tUscRTTTfSRqFJxI33ko+E3DLthGF5YMZfi1ck1Mp5yppI80EBD1CL8crgFbb3ZTQqQ1r6z4RxOqIE2fNnz5pDdhCQ5otgLe818/yvKzkMfZMuvjr0Q+weHq4E2Uk7o3+evijyoGEHE0A8Skz/JPj8Ae9nsLtngQnp9T2F7r25uA4Jgs9XJVc4k18hK8ep9OvCi9r7+sZX8NhVNrDOY7esGGzb1GHF3TWa2s0evhpA7urVO14G814Yn17DeIef8CcH5fNRtwj+H+xOn/n/FS+4EYq/79++fO3cuLS0t99Py4cOHH9Y2h4K9VvVWv09Z+md88YXtfWBk+NvOwgXBDbThc/6EO5EUrL/yjbDOeYy5MgS76ZJJNKv/QgBxdsn4bUd0OqHUOjn6jPTB4ROrZEF5fOD2U08dvh7aCb4960eoIA18tLk450eIq0BE81Wa5V+uiz907AXDbp7qM5nZZ4mIUsPxj4xANRteJIwpE6Mv2eFFwnWDbXHV/DB2Cza9SGZ9tGBH+/GzvvhyYv+GaXevJAiGGdLJWxFdPjh8bLnEF+P4jr1mTrn2wfkC9K+kQz21YIgqFaNb9lpJr+uxO6D4CuleO4DtYYVChnTq23qDk/qrH4C9+KpZ1NrhvD9hYnaDwB1Du+gvduBtrNFzfoQq0oDeaEuvV2A75NhySSlefS+aylN5m6ju1V4e518k+Qn8XQokxVVIniVuydZnN6v2Gorbq8A/+fYTiL1+++23iYmJn9Wu34+9IAjuEk4AW1NwlT9PYn6ngtHyugWXxUmtkwcX8H2zuen1PfEVkqcJiNAwejeHFBwAACAASURBVMPojTasd70PDl/coUa//dp4ziwanyUyrwSTLweRniUydbMbfyQjH3FZnJhyMdqh+ODwb9O7U2vlb9LZFNFEXdeQZmp93WgbnV5bWrPsKicGSOjTiwbN1Nr6J8ehr63e4e5/6Nhrc3PTYLJnNSpvhnddCCDejqRUkQaOvyS0ze6Kq5DEVUhQmOWDw9+JpDCkk21szZs0dk3nYCtTU4ZXJ1VLLwYS0X78TXq3amRxdsmInVtBtc2mFw3RZeLroZ33o6k1nYMPYhAW/9UQ8qtUViN9pIo8uGtkPLqOzom5jfFZ/dFxgX/1ca+jwF5fNTt58NeJryr2cG/wXUs7auxls7uCC5D3VfQvqUaWXt+DfkRwFXkQVTrc2YFHl4rDCgVJ1TJx/9xHSfpniczLQSSPxDydp5y5E0XJalQaPO88SO6L3TU5b9DOrBs+5UKZrc7xWf3E3AaQY3U4IfDKdDGQeC20MyCXV08dvhJMvhJMfp7EnFsy7Rql0417ReAEYq9Xr17x+fwfw+7aGdbvx15OF9TK1FwJJqP32L1oav/YysE7qZ21AvLokoH54o6+2HLJg1ja6zR2YXsfgatFecrL6xYvGa1Uz3zEztIOsgWG4cl5QwtT00QfmZw3uFwQ+EgR6VJq5Wd9CejZPU1gNNNHxGqkbs+TmC+SWYXtffltquiy3XMCzFZHO3v0XUb3ozh6RkPPxOwuaoEHqeEh7nMU2AvxgDLaGdLJUryaq5wxmh3fcwEc4snuU5TRYg/O5ydUSbGyQNdDO/EcLUcxXUsZep3W/TCWlt/a+9Ee+7z/NvZ6FEfPaVb6ZnO6hBNYEXwIggfHV7OblDnNyoRKaUyZWNQ3pxhequkcbGePDoyvyAYX9orMhsleSRx4kcJ6nswsxav34pPtczoH+eoUe+2MktvtNpjtA+Orau3K/n+aqXUYhgcnvrznwPjqrkkbO4/+w7YcNfYyWuwvU7cZnz44fEiBADufcNaXkNuiQimVOzvwiGJRK2s0ukx8P4YWVyFuoA2XdKgz6ns+dI/iOVqGdBJlsxjN9nrq8Os09tMERl6rambRCG6f58nMFymsSuLAhgnhvVhtTvnQYhV5gMgbX163jE6vN9KGW1mjM4vfTlD5Ye113A50MrHX5cuXY2JiUlJSUj1LU1PTXnGfmpoqLS3NyMhob2/X6/UQBJFIpPT09Orq6sXFRY9Ouqunpyc3NzcvL6+/v3+vctDt34+93G73kG4VC4PiKiQreus3PHrBEBE6lrC2YU2plZ/59CJ1KYhEl06iI1t2h6uCNIBOFZ31I4j2kGVCT3b/Fbfb7XTBTteWbASojCcDbg5Flmd88Wl1PfltqpIONXroM774MkL/43h6UD5fN/cZtAKTcYD9g8xg4vCFbd81Ibv/KRzw26PAXuDQEAzbHUimwQFr8nN3gyAYz9Hmt6jA/DKA169S2b2jyxzF9I2wrYnmG2Gdhe29N8ORaUTQiAmVUkAcuR9DlQ8toucLrliw28NYWlAeTzIwD0Gwwwk5XZDd4QJ/6P7o6XtJdZ/xxTczNEfBCTvFXmjMsSvaaX18pTSyWLT/X26LanNzM6VGvv9ukcWi+Eqpdhoxujk+y1FjLwiC66nDaK941o/AkE7WdA6iW64Ek2WDC+jFv7MDb2Fq4iu3c1NuRXTVU4cTKqV/JDOb6CO2T9nBEAxTxbqzvlsDbIh3Kmv0Q7cWPRBCpedowe0Dw26HEwLrnh4e2nV24vg007GtyQnEXvn5+emeJePT0tLSsmsDGI3G69evV1ZW8ni8qKioqqqqlpaWFy9esNnstLS09PR0u90+MTHx6tWrjo6OlpaWO3fuLC8v71oUuvH7sdfm5qbDAUn75yNLRA9jaZkNimHd2jc8NiAIHp1aL8Griz70DU2sulzQ1ILhURySLwb+zvri4yskg+MrFhviNe52u+eXTRWkgT+SWQG5PLpkEjsCgZ7gN6/YHS7lyFJ+q6qOMtQpHPfP4T1LYGQ0KFLr5LktKmxOnw8O/y6jO6ZMciuii6ucwXoE2eyuzEYF2k344PBPExjL65ZvrtWh/PDosNehVO9HFrKqt5IF42WE/phy8f0YaliRsI4yxFPN5DQrz/tvD3aGFQpI/LHgAsGTeHpqrTyjQQESCy4GEqvIA+BVHoJglWbpwSeWmA8OkVQtau8DWhswDE8vGCpI/fmtKuXIEjp8C07WbHW8Se9GL3UfHP51KttkPXyJmVPstevVpZlajyr5Mtsso6Fnc3MzrlyyP9ssOF8QVSLWHDMj+aPGXpubmwsrpkrSwItkFi6TQ+KNm8z26QVDKV79PIkZmMdny6dtHoUI0ASIJ9vi1re+WVyyYJzA1d7H5Kac9yeEFQpfprJ9cPhXKaw1w5YqxMf+P6JEhL1ZCtt7vW6ft+ndu87s79r6pxsPEoETiL0cOxaXa3f5H41G8+bNG6cTQR5UKtXf3/+///u/mUwmMl82OXnt2rXV1dXKysro6GgIglwul5+fX0VFxf5hPRTs5Xa7ESk8i2NxzYyIenuA0f7H3fmtbm7jWmjnOT/CWT/CtRDy8MTa8rrFP3fbaO+cHyG2QoLL4nQKJsC7C3CkXtFbNkx2yHPUncV+8xZR39zVYPJZj7b+rfCu/rHlD92j4cXC8/6E8CJh5Oc3f2y5JCCX9zSRoRxZQl/sEHtXF1xHGTqHeYoHFwgM5t1p2t9c1a/94Sn2QiMGw27lyNKrVHZgHr+grTe8SBhSIGhmjMRXSi8Gbqmc+ODwftncuWWTwWQfHF+JK5eg84/XQshE3hh409DNbaTUyLDPgEtBpFbWKFACm1k03gjburyvBpNFfZ9ZVjickJcXQlylFJ2dQWv7/Sun2GvXGJ5ir13D8rUbxeq5FymsjAZFUrXsThRlZtEIiFnL60gXDRSq0TJh2M2WT79OZWc1KhKrpLciupSaRTQP0aPjQ4otlwC5luhSMerJCFxPsNiruEOd+CktHWxPqpEdxe2DVv5PuHICsdf8/Hxqaur//d//tba2FhQUZGVlGQyGfZoWYScYDCkpKRkZGf/+7/8+OzvrGXly3LhxQ6lURkVFVVZWgp8XFRUFBAR4FXX98+Vvf/tbQUGB1z6H9dHtdkMwkmY8tbDRP7Yyt2wCM3pOF7y4ah4cX1lcNQOBFrvDFVuxPdrsg8NHlogWV810yeSDGNrFQNKVYPKLFFbRhz4fHB6Xxf1+fy6AF/VG+/isflVvnV0yDk+ureqtLg+I28kbjS4V57f2ptb13IrouhRI6hRMPElgXA4iXQkmPUlgdHC0d6J2J5iDvIGrIeRLgaQHsTTh902MflvT6HQ6bLNfunTp73//e2tr67eV9hN/tZOQjlxjELy2YR2ZXJv5RH4HkwvzK6ahidW9ciDQszBbnVWkgduRlAsBxHvR1KxGxfMkZk6z8m1G95Vg8sVA4v0YKl0yCS7UxTVzQVsv2PlqCDkgl6fWrrg8s4qxFZIHMQg57E4k5WIA8WoIObhAAGhbDieU06zEPi2CCwQ2u8tkcaDsYGy2x9MExtghzVhVV1djm/63337717/+9cXhcDQ437nCkE6FFQq/OEr00/McTyT2evXqFbbp//rXvz58+PA7G3TXn295WiwYajoHA/P4N8I6wfRfTvM2uwv7Q7D/7LLRP4cHborz/oTH8fQ2tqaOMnQ3inIxELl9/LK5uS2qK8Hkx/F0nuozReKFFfOLZNbVYPKlINLjOLpiaBHcPoCb/ziefhxotdhTPgHrJxB7JSQkRERE+Pv7Nzc3SySS+/fvl5WV7dNUy8vLxcXFQUFBarX6L3/5y+Liomd8xXXz5k25XB4WFlZTUwN+Xlpa6uvr61VUwefLb7/9dnTYC4bdi6tmmkQXUSy8G0UJyEFmBjdMdr5qNrxYeCuiK7xY6JGGd1msTi9Bl7fp3fXUIbpkUtw/n9usjKuQ5LaoAOfmWSJj5lvlJNBouN3uidmNnCZlSq2sjNCPy+Lcj6EiXnujyxAE7+SNBuTwosvEIQWClBp5aIGgjjI0MrnWRB9pZmiGdWstjJG9COYgbwDPHavpHFRpkMmmb2DCodX+tpWVlRVss6empv7v//7vr4i9vAjpyHinh96eUit/EEt7n8UhcscsVqfN4erumQ4p4N+JpESVivb3RQB2UlzlTCleTZdOCnpn70VTr4d1ZjYqYsol0WUI53diVg/0cod0q6m18tRaeWihIK5CktOsamePOpyQxYZcwOf8CL7Z3LS6nrBCYU6zcmnNAgZBrXZnbLkYi71epbLnlk3IdMwndrDeYEWzPcZm9Pvo5n/VNSAQCLBN//Lly/Pnz59iL68YnkjsVVtbi23633///Yiwl9Xm7BJO4LI496KpEcWirCYlSF6JLZdgJxnRmFusThJvnKuceZa0pfgQWSIqbO97m94dXizMalSk1/XktqjY8qlyQn8Zvr+OMpzdpMDOIcIwPL9ibmeP1lOHhyZWHYgmK6wYXowpE0eVIkW1MkdMlsOfskdP4U+4cgKx15kzZ8bGxgoLC1taWlwuF4/He/78+V5NOzc3FxERER8fr9Fo7Hb7P/7xD7Vavbm5uba2dv369ampqaysLFSaNT4+Pj09fa+iwPZvnnOEII8MMbSfzJ3Z6qSIJgJzt15uANupu2cqt0V56dOEDi6LMzq1DkEwTbJNnzzri6/uHHwYS3uVyu4fWxmdXk+v7wnK5z+Ko5/1xRe192Hvw71OELxd7YV1rHZXYVvvrfCutLotsWPwaIyrkKxt2LC80Udx9OACfpdwAiTE3YmkvM3olg8u2Owus9UBiJxfJJiDoRHsdORe1f4B23/ROcedhPQOjnZFjyRkoLDmZniXSD03ML4CxHLP+RHepneXdKjnVkxekNfrAoZht92BcHIXVs1xniHYMzj8kwRGYpUsq1HRQB1eN9hcEDy/YoqvkN6OoLxKZT+Ooz+IpckGFxAfA9jNlE0G5vHuR1Nvhne9SWPzVLOAZW9zuCw2J181gxLIznicElpZnyl3d3C0Lgjeme1hdyDS3Yd1VZzOOe4ayROJvbzO9Ij4XjDslg8toOp3Pji8Z6STf96fAOyzvC5gCIInZvVlhH6aRFf8oQ+XyQkvEpZ0qFFS7M3wrsL2vkbasG82pxSvpop1kSWiTsEElkcL9Fw898tWapTDCVWRB/9IYj5PZF4IIJ71xbPk014/8QrI6cevisAJxF4XL17s7+9HsVdLS8v79+93DYper799+3ZmZuby8pZqZVRUVFhYmF6v7+joePXqldlsFovFjx49Gh8fHx0dPXv2LEBmu5YGNn4D9nK73esGG5E3llgtI/LG1g02r6caerjF1a0JGvTReDmIlNnQU9TeW0kaeBiHaFfeCOukinWeqUnHh27tu4zuV6nskg51jGec4FoIGc/Rziwac5tVvtncjAYFiT82s2j4Iojx3OEbZYT+wvZewNxHawVWltbMTxIYr1LZYUXCiwHb8gH3oqmAJLu0Zmmij5R09BV/6KNJdEBev7C9N7dZSeKPj82so7zpX45Y8Itir52E9Lfp3Tvp7QWtvW0eCex70dTarqGoUlFkiYjfO4vmSe1/AbsgeGgCGdx6GEsLKxJWkgZKCeqCtt7EalkLc0StXa7tGkyqlj2Kowfk8mo6B7uE43aHa0VvrSIPBOTycpqVBW29H9ijyDjW3AZLNkUT6zIbFeWEfjJ/PLJY+DKFVdM1NDW/8SoNIRGjf17sYOwFrNYuH9Y1doq9vPoB8PEUe+0aloNsdDihStIAVv3ubhS1jKCmiSc1k6ugBwYXMCL6YHcJ++ZSauS5zUpJ/1x3z3REsTCuQtLRrQWPA3A7PElgfGCPtjI1pXi1fw6PyBsDsl671gdxVVm3KDWL6CgaKCSxSrbrqNuuhZxu/GIETiD2qqysvHbt2qNHj0JDQ5OSkv7zP/+TzWbvGoiGhoZ/+7d/+4//+I//51mePHmyvLwcGhr6UZ317t27vb29MAxbrdba2tp//etfv//+e0tLyxdtdr4BexlM9rQ6+YUA4hlf/IUAYlqdfK8bY91oqyT1o1LCHqTVVUtBHodXQ8hM2dRZX/zDOLq4fx7QMJ0uaGRyrehD3/0YGpDUuhtN7RJOfHQvvuC/dbjcZhWQzts1ROjGqQXD9c+Z++hXYMVgtgcX8B/H02PLJVgznDfp3WBC0+126422nGblxymnu1FUJAnAF385iITnasdn9FjetGpkyavwY/7xF8VeOwnpseWSeurQ+wyMenUQqYWpYfdM3Y+hfujWXgslexqOcAVDb9//AgZSI1zldHGHOrxIGJjHT62VX/Rc7ef9Cf453MK2Xt8sTm6LKrZcci+aSuIj0kGhhYJz/ojTFMh8NFkdU/OGP5KYlaSBy0EkYJD1IIY2NrO+qrfanZDDCcVh0ul9cHgvdjD2Ar4aQj6sa+wUe+16b55ir13DcpCNEAQTeWPXQrf1HV+ns4d0q7q5jetoconnAgbkes/tQLgQQGTJpq6GIMlMZ/0I6OMAwCb/HF5CpfRJAqOwve9dRrf2c89cr1qt6K3+OdyPdI6g/M+UXcuJA6ggkddPTj9+QwROIPay2+14PP7Bgwdnz559/vy5RCL5hrh880++FnvBsFuknsMm0j+IpYnUc7sORLkgWDu9XtDWey0EeQReCiL553AryQNxFQjciS4Vx5SJc5qURvP2xLzZ6ijpUIOExyvB5OQaGYk/djeKAjL2nyYwCtp6+0aXPiInhxNaWDEDpjwqCQbi4HBCWD1lHxw+ukysNyIziegQHQy7ucqZO5GUvBbV+0zOpSDSeX/CjbDOFoYGjDEAU2SgkInVtffL5jbRh0EfccYXfz20s4E2rJvb0M1tGMx2o9kxOb+xorcAzv43t8uR/vAXxV6bm5tTC4Z70dQLAUREPT+iiyLSPUlglBP7b4Z3nfdHLjBcFgckVbUwNFgfax8cPrRQiEx/7HEBQzBifL60ZplaMJgsjqU1xFnhZnhXfKX0aQIDNDfwqUyrQ/heOc3K2HJJWKFgdGqdJZ96m9F9MZD4OI6eXCOvJA3o5jcyGxUfX0veZ3LO+CKDuxHFooK2Xrp0Er1WNZPrd6OQc7no4fgPjq9Mzm8YPBm7Oy/gyBKRlyzFt10hp9hr17idYq9dw/LFjZ5sKvfMotE/h3spcKsLbaKPzC2biLyx+EpJdqMyvb7njyRmbIVkdcMamLfFP4koFoUXC9HbCumiS8URxaLz/sQbYV3VnYOXg0gXA4mJVVKgTOF0QXPLprEZvSelHblVl9eRW1VvtBF4YwlV0pgySQNt+EZY13l/4sVAJGlmZgnJssSeAsj92jDZdXMbqxtbaVXYHU7X94nAycFea2trk3ssgD6/TxQO8auvxV4uDzEL6yB0M7yLLpnclRrsGWR2KkcWcz3ylfGV0owGxbNERkKl9EZY5/tMTt/oEipVDE4KyeI02ZmyqZxmJVkwsbJuIXC11zx2iolV0twW1R/JTIRMo5xpZWreZXQ/S2TkNCuVI4tGjHCDxeb0egd6ncZuZoyI+ubQBxhIflaOLH30jlRpltrYowVtvXzVLGrnAsEwVzkTVyEJyuejXAQfHP5xPJ0sGAe9BpLh2K1tpo/gMjmP4uiZDYpWpuZVKiswj8eWTx3bEe9fF3tBEDwwvppYJY0oFha2992PoV4NITfSh4V9c0Xtfa2s0eV1hN4Ow8i0uJcOyItklsni2OsCNpodnYKJj1oSTzxK2eMz+qU1SwdHW09FRj3Rh8TlIFJuiwrP1b5MYfnlcNvYo2n1PS+SWbktqlKCurC970UK649kZke3tuhDH4E79jie/kcys6C9NyiffzeK+tE4UjG8CF7HXS5YM7VeTR6sIA60s0eBtVF6fc/QxKrRbPe6gF+lss2HIfd1ir127TxPsdeuYfniRghGJujzW1WleHV8pTSqRMSUTQr75uIrpXejqKEFgkrSQGyFJLtJWdjeO7uM+LaBWym1Vr5zzr2jezS6VJzTrHqb0X3GF3/en1hO7DdZHCaz/eO04/tMzuN4enaTcnRyjS6Z9M/lPoqjZzUqKskD+a2qt+kIWSWnWRVaKIguExN5Y4rhRa8e2OWC1drl5BrZ/RhqSKGAp/wsd/KLJ/sn3+HkYK8PHz683WPJzc39Yc38tdjL7XaPzej9crZlt/xyuGN7jwm73e6RybXoUjEui/MkgXHGF++bzY0oFl0KJJEF404XovcN6Oo2uwvhLLsRGWK7w2VzIB/Bz9+ks5/EMyqIWyr296Op5YR+FA+d8cXntqiEfXPID53IwAZW+PhmeNf7TE4jbeRpAuNNevfI5Br2ZQioHrtcMATBYFAEjbzb7Z5aMKTWyvNbey8FbUk9nfHFJ9fIROq59Loe/xxeaq28halBBdDP4PCxFRJgK/4glqbSfKb1hZb801d+XeyFGEea7Y00xE4ENAqIs6f5IDDWiF5RYFIb9PVnPNkbEAQ7nci8NriAz/jiXySz0ut7xmb0wr65y8HbrZzXqjJZHDaHa2xmPbp0O0XxURw9pVaeXt/jl819lsiMKRMXfegDSfXtbASQvUplv0plRxaLGukj7zM52U3KxCrpH5/yuTzDb4KpBQO4CIFAnXJkEUt2SayWLayaqWLdxUDiyxTW6zT2NQRfjnyDXvHOK+0Ue+2Myebm5in22jUsX9y4brABYa0zOPyzRGZchYSjmA4pEKDvKsiLR2tvWKGAyBszWpA5DSA/8SSejvbnPjj8WV98LWWohTFSRxlCu9NbEV0qzZLTBfGUM9vWIL747CYl6GOByURStay0Q91EHznrmYV4m979MoVVRxkKzONje2BEynXJiL2XnycxvR4HXzzfP/MOJwd7jY+P8/dYAEF+aGhoY2PjqBv7a7EXoiXmhGQDCzFlkjuRlJgyiWxgYX8isN3hEvXNRZSI7nne+8uJiIZ4I23YYLKNz+ibGCMc5UynYCKrUcFTzqg0S2WE/gba8OySCZDVwM+bGRrwnnQlmFRB7PcaFXiexGxmjHAU06V4tXJkCSgntbGQMYmcZlVIgaCkQ13Q3vskgUHkjaFmrl+MrdMFKUeWWpia6s5B8NaVVifn985WkgYSqqSl+H66ZNLj9LctgP4wlpZWh9jHXgok1XQO7h+ZL1bgiHb4pbEXBCP+B1lNysdxdI9Y9vb4IjDlrKMMVRAH+sdWuIrpClL/m/TuP5KYpfj+uSXj7JKpgTZcQerv6Nam1cmryAMx5ZKkapl0YL4E34edWX6SwBjWrXUKxks61HiONqFSej+a6p/LK/rQ9yqV/TCW1sbSxFVIQguRN/uESumFAGJ0qaidPRpZIoooFrazR/1yuJeDSAVtvXmtKiyh8HYEhafaNj9wOKHqzkGsjutHQTu1dsVgsrUwNFGl4vBiYU3n4NKq+VAuhlPstWsYT7HXrmH54kbN1BpWif5OJCW3RXUrAqGIgL9rIeT8VhVNrKvpHJhZMk7M6rOblI/j6bhMjmp0qYI48CKZ+TKFVUkaUAwvptX1VJD6U2rlj+Po/rk8mli3tmEd1q0mVEnRN20w85DZoEAP8SiO3kgbVgwvlhP6XySzXqawCtp64yull4K2e2AYhmeXTB0cLXYM+0owIox88MfBF6Nxsnc4Odjri+0UGhqqUiH2YUe6fAP2AmqW6wbbxNzGuuEzEtWuVUXVL3VzG2sb1hW9dWHVbHO4puYN96OpoYWCxCrp1WDyhQBiG2sUqFZeDCQ+iKXNLSNW8+DneqMtugwZfggrFJbi1THlnwmxBubxmugjgC5w+5Oxj9Xm7OBob4R1nvcnXAwkvUhmNdERfHbwxGO3272qt3YKximiiWryQFajoo01Gl8pvRKM0NeuhpDz23prkAfndprk67Tu+AqpDw5/NYSM547tOhW7a5R+5MZfGnttmSiYHVMLhpVPWrggejOLxvsx1IuBCBvsTiSFxB9/GEtLqpaReGNrBtv8sulBLO1iIMKvuh9NZcmn7kUjO5/3J96K6GpmfOYH/y6jO7NBgedoLwUS/bK5VaSBgrbeqFLxjbDOs774t+nd6fU9lwJJ5/wJ10M7s5uUL5JZXOX03ShEoPVCADGqRASc6R7F0RKrZViv7o+jv4rhbQtIFwTjuVosOHuVxtZO66cXjPejqRc9pd2JpPSNfsEc7IDXzyn22jVQp9hr17B8ceP0ogE7dXgnilJO7H8Sv20EdzuSEl8pfZXKJnDH3qSxWfIpv2xuZoMiHnFpZHUKxlNrkVeggYmVBzG0S4GkqyFk/2wuWz69tGaxOVwE7lhQHj+2XIJ9L3qfyYmvRPpY8Pc6jZ1UjUwjUkS69LoesmAcl8U554/0z2gP7FFeZSRWeXM3u3u+4nHwxWic7B3+RNjr3bt3crn8qJvzG7CXV5XAs9BsdQJDoXWDbXndsrphNVocXiYS4Idgf5PFkVgtuxpCRl0jALMKvaN8cPj8VtVHWYF1g3V2GbGpHxxffRxPj6uQ3IvyTmHDc7RM2RTqpQp8e5bXLR9lxy8GEAPz+IXtvXEVkib6yIbRbrE5F1ZNoHp2h2t53YLQ8DGWRB5KpnvDZFvRW2SD8xXEfkn//M3wrlepyBvVncjtt7on8YxOwcSzRCaaBVnc0fc4nn7On4DL4qzorV6xOiYffy3shVwwbrfVhlxgRrO3MwkaUqcTym5S3IroSq5B5gQfx9EjSkRRnunCp4kM+dBiGUGNXl24LE4Cpvv2weGD8vlpdfLEKll150AVeYCjmH6RzEyskiZWyTIaeliyKaSV/ZFc10tBpHKPdTpa2osUVk3nYGKVDN1y1hfP7pkCWZaJ1bLgfD7IC74YSMxrQWYz0Wpvbm6u6K3gaQEKr6cMG812r3OJrZAcyhjqKfbCRh5dP8VeaCgOvgLovDVdg37Z3LxWJO3XN4sz2ZdjewAAIABJREFUrFvLblJ+ygtG+l6Ak8KKhI204RTPvZlcI78V0XUhgBhbjnjEtbI0JP5Y0Ye+kALBJc97bHCBYHndMj67DlJVajoH70VvZ5p3cLQvUlg3wjqTqhHtvTbW6KtUdmy5hMwfz2pU+Odw4yukaA8MVB4zPONk7zM5KZic5dBCgd645RF58LP+0+55ir0Ouem/H3u5XPDA2EpqnTy9oaeBNvw+k/MyhVVG6G+kDfOUM4DtCLvdLo/+5ObmptMF9WqWPnSPvk5j3wjrSqiSArX6/Lbep4nbCWWeIS6BdGAhp0n5NIERmMujinVi9TyYwcFKN3UJJ+RDC1jGDPCrnlow+GVzc1pUwCY5vEhI5o/zlDPp9T0PY2nRZeK+0SWPFTfT/3MrbqvNSZdMRpaISjr6MhsVTxIY/jk8Anesg6Mt6VBjhyhuhndRxRPDurUKYn9mg4KjmBH2zSFSnLQRQPo+5NY6pOJ+LewFebJlc5uRqYrQQoEQkzCBjYfZ6ihs760kD7xN736Rwips78trUWY1/v/sfWVzI1ma9W96N2IjZj9M7MTO7M7Gju2iLuhipq4ukJmZmZmZU8xosWSBZZElyyAzs1h+6+q609kul9td5e6uqrbC4UilUleZFzLPvc95zgFOPrcSKCz5FDpXfpTG6GKY4qt+lmb1NIMpUNvbqIbqAe0POey3Bdxe9hjCs9QTdC9z2DHlQwjfUk8YjSobaiKNVg1or0YfJtXfS6ZJdXMRZYK7STSUmBJfJSQJxxNrxFnNcoVhvp9ryWlRUES2jS2gxQ84jr4DXWIoUNRBNxW0KzmK6a0d17HXAq21/ZihhL38U26fY69jK+ocex1bLSfv3Nlz0SUTRIG1oGP4URojqmwIAbkpBpJwvHpAG1shzGqWl/dqnmexbiVQXuWwpbq5OvzIyxz2m3xuI2k0oUac3iDVjC2KR2ZT66V3k2lQ3f5RGuNJOqOTYawCyTRAAzKpVowXWFOBhflQA2FUrp9Xmxa7mYBP+TKH3cc2D/IsEaWCR2mMkm5VN9NEFo6jd2CXyztqXcYVAYLylUhiaoO0oGM4tlLYxTQtr+8dm55/8lX/aT89x15n3PSfib38fr99cSu+SnQ/oGOJRuWhMD2uiKcyLe453HrbClk4rjDMb++6bLMbwHY6g9lIGr0SRUysEUP/1Fe57KJOFbp2FRKK9LPNRZ3D6J7vooitFEMdMvI8wFy+EIZ/nc8t61ELNTNCzQz608E4pLJPu+f0bO26EJ4ltvKQ+Pk6j1vQroRPxxfZrOIuzM+F4cUBp0WgQaCdDQnD4wrB0kjwTyvbN+MpfWxzL9v8Qw4bXd4ILxEM8ixCzczCys7unhvS/B1Oz5cZakS7zleEvfx+P1SuRxviYSqgQ30o9e5yewkC62E3CEVayHpIrY0qHxqfATKnIaHI5QgCUDbpVjUSRw8PxiFFncNV/Zo6vA7tbyGhSA/LfC/5IMnxQhieIrJlNctf5QJ6Pnb5M7lOMja1Vo8fSW2QptRLX+awL4YTagZHXuVy3hRwGwijwFPS69sLdIw9h3t0fJkgsEpG5jYDy3iwXTxeH0g3CQAyt8dLFIwfnl4o0kIxuAKqYFb7Ol06IR6Z3dx2YrNG0MY9eeMcex1bP+fY69hqOWGn1wecSMKK+Um1EnRs3kum9XPG4qtEYcV8qtgWUyFMqZemNkhT60HMoZsJ6PDw5hkSinQyTDSxTaSdQV0dg3DI2wJuaj3Ii3yTz8UV8ZJrJbfiKRV9mqvRpPepvmHF/DuJ1Lw2JVk4HhIGWLbXY0iFHcPoIA3GIfntytmlbXgH9vv9homVpFoxdlw/SmOwFVNnsop8Qv18ex+dY68zbtPPxF5en0+gBipZSbWSDw0ZCzqGqwa0ZJHtdT7I1YJSTKSh8VsJlCAcktuqKOpUJdaIa5ERaL3XxTAVdaqepDNeBlbOlIZ5rLRSSCg+unyosGO4vFcdWSq4k0iNrRAiPMu4fW1909HNML3J58IkZGik6vH6OMppdFiCgRpLTqmTQHGyos7hIzrIuW0Kh8vjdHlyAx41eW3KR2mHxIWL4YScFoV+fJkpm4wsBUaB8VWABI0r4gX49Yr3ogZn3Da/WXFfF/YasS49TAXTX/h3JRJA8A9vnZvbzpiKn4krvs7jVPUDkhb0c9zedbXTjPFVoqxmeUajrHpAW9mv/SGX/SiNkdEoqxnUkkXj0IkI/a2IEkFc5eHyGHzSBOFArm55r+ZtARca2JFFtsp+zaM0xvVY8g85QG+ilWroYpjuJdPegz+l4UBUYn9/3+nyMKSTr/O512PJj9MYdYhuY9v5YTvvOtzYZLEgHPI6n7O145SPzoeV8L+PpzwAKR2f0uXOsdeHtX2e53hsnZy8Ezrw5rUpsVz7K5HEjEYZfBBkNcs76abQIv6tBMqdRGov2/wmn4uOrCAcElEqoIhteW1KGPeAH92Mp1T1a8v7NBfDCcAEpXO4gTAaXy2CUtvwmKcZzCayHm6/zGHHV4uwqSqP0hh62wo8ebfH28syX4shZTbJSrqBPhFUiJxfPpvMlZOr6Bv79E+Evd69e/cF8r18Pv+e0+1wHhhCe30+4+RKfrsyrUF6RE4ptlLYSTdSROPvNY2CccjFMHxln4YgsFJE4z/kgqWjSxGEl9nskm7VABfE+4fUdmEg6EMT2zroBolu9shwvRCGfy+R+qaAey+JVoeMEIesHXRjWa9aZ132+XxOl3dqftMyvba+dUAJ2txxttEMTzDCmLcTqWkNUpjqktkkwxUd6qEH4ZDqwRGoeVE9qA3CIRkBiujTDGaAryO8GkXspJv2HO71LcfE3Mawcb6Vor+fQr8QDqZflyIIBMH4magA/A4j9uvCXmNTa9i1xmsxJGh9eKSidh1uLOMKqjlMzm7YF7c2d5zQCdvh9NgXt2iSiYwmWXqj7HE6I71RltumfBcwlethmqoHtRlNMhRzJ9dKsHIqybWSqDIA7y6E4R+k0JvJ+nbaQWI8Nn8K0F961JlN8tIeNVsx5XQfWM4B+/bZjYiSQ3vTe8k03rD9w1VSl9ub23ZoUhmEQ+KrRAurOymBdBP41Pm0LneOvY50G/j2fN3rw2pxe7xQD+/Dj+AsooGo62KaXmQfxgGuRpMKO4fhkImtFGKNVpNqxUei/EDKqwu4huS0KK79FMG/nwz8iF5kH8iA3YglV/ZrS7pVWK792wIuaWg8t03xOo/zLJOZUifBEgB+zOWMz6zDc/Z6fRSR7ft4wC17nsXKbJLXICNj02u/aPdy7CX/yXd+g9hraen4DKYvkGvvdntlo3MxFcK4KpHKtOh2e1SmxTjguyIgDo2LtDOoW/CFcLzCsACgUj63jWpopeqVxoXUBhnQOGWZ26h6lDWVXCsZsSyX9WoSakQc5VRspSi6XMiQTlLFttAifgNxFK4tB+GQG3HkAa4lOBQ8+YhD48GhSHAoUtAxjJXFxw4P28x6WoM0u0WBRpFiK4XlfRq47n0tmtRBM6KFX4ogzCxuwa/PLG5diiA8zWBKRmabSKM/5gEip3hkdmJugyQcfxvIstFZl98VHU7jgkORrGb5ntODPYEvdvsrwl77+/t7Tk8T8UDaLQiH/JDDXlrbPbZuLVPrhz0wDM9RTI9al5NqJeGlAo5yes/h9vv9O3su0+SqTDcn081d+snHMyQMT5VMCLUzqfXSN/ncVqohvVH2XRRRqJ25+NMxF8Pxw6ZF9CsXw/HikVmK2FbSrUqpk2BzXW/GU/Lbhy+GEx6m0hcw2hA+n18yMoud5V+OJDQQR4/tNpOzG9hrURoWxmfWsYHOT+ty59jr2J5zjr2w1eLz+WaXtou6hl9ks9tohtWNvSPRbZ/PZ1/YymlRxFQIy3vV6A32RTZLM7YEqBqhSGW/Bmt/ArNP4EwVmpQMG+epoono8qHo8iGK2PYywOWIrRQK1DM//mR1GhyKNBFHbTMbqOhXSBi+l20u7VE/y2SW9arr8LoWsh4Nj4SEIh00I+rcur+/v7K+dygGBs5Ku7Pnxl7s+fYpa+AbxF4XL16cnJz88Pp3d3e9Xu+H+892z+ljjtCEBwUrtxMoQs3sZWDtQr2dQL0cSaCIxjVjQJ2rqHOYKp5A1ypuxlMClogH6YHBoUhVv7afbc5qlg9wLSoTgGjfx5EJQ+Po5CYkDE8QWEu71VHlQ2W9GphmrDYv0iQT5b0atXmJIZ2AzOXVj1tDrG858toVaQ3SvDaghJnfrpSMzDJlk6U9QPu4vFejH1+Rjc6X9qibSPq5pQM5sf39fZ/PN7e03cMyl3QfEsLuJlHbqUZ0gnUthtRK1l/9SY0zcPm283Wvs+2csDS/37+14+IopgvalSiFFn7k84EcDn/g5QEEdo/RtprVLI+tFLZRDVTxxGGPCkUIAqvL7R3gWtIbpRGlgrvJtHaaETqZ9DBNdOkEOh8AXXRASxoaj6kU1iIjUAZlgGthy6c66YCkn9emZEgnuYppuABW2Dl8/ydaGEiZLBvqpBs76KbF1R3sDNvv90/ObUZjXOfup9CH1DPHdhvopV0PzOC1I5Zll9u7vuVA0wWCcMA4kiL61V3uHHsd20X/tNgrkNMNlKVRdAV76euf0M+lCEL1gHYDQy6E8toQ7lwMxyfViKsHtNkt8laKARg5pDGymuV5bcqyHnVh56EKVzAOaaUYmsn6xBpxZpOMNDROEdnQpwkkU7aSDWLtrHZscXphq5tpzmtTsORTG1sOj8c7vbAJNes76cbkOgk6rhOqxQbbin1xq4VsyG1VcBTTR3iQPh8gjPawQGkM6eSRT4/tDOc7j62BbxB7PX36tLGxUaFQ6HS60cBrYmLi2Iv/LXaeHnvtOtyoGxd0SEytlyTXSVIDbMrkOklao3R7z+Vwegy2lZxWeUgYsBYO+KFqslvk6IJBUEAB2Ti5uuf0uNwevsoOaDF1EmzhQTgkrJgvG52LqxS9zudmtyiaiKNCzcz6lgOoz/v9Xq9vZ881s7jFVU7zhoEYzIcZKx6vTzwyG17CxxXyCjuHG4mjRV3DGY2yOkTXRNKXdKsGeZatHafD5TnWctViX4OkfjTEk1gtRvlAIWH49AZpTovidgL1URqjtEe9sXUMcee3aLLPL/PrWveC1+v1ASo6Gp7z+/3buy7p6BxFZDNMrIzPrDOkkxLd7NT8ZkE7iCGCrCiMvnYQDsEV8t6vQiXWiFMbpLcD8o/BociPeZzEGnEXw5jVAnosbGu4ugZpf9diSAE9IWl+uzKqfCi9QfaukFeLjAxwxyID8ccn6cBQMq9N8Tid8X0c+W0Bt2pAOza9dmyncrm9XOV0WDH/ZhzleRarlWL4mA89VLZzB/j1MLHA6/WpjIuxlcLbCVRgfPRJXe4cex07fP6c2Mvn8y+u7vKGp7nK6bnlbZjn4fH4BnkHNm53k6gpdZK8NiVFbEOzAt0ebxfDhObzBuGQcGBtsrax7YBZU0E45FEaEAMSa2fjqoR3k2j3U+gJNeKKfkCZT6gW1+N1xV2qiNLD4HsQDokuH+Iqp5fWdk2Tq7TAIrR9YUuqm9NZl9XmRYLA2kU39rLMhZ3D6BpYEA65n0KTjMxBe5ITIqTYRJZjO8D5zl+sgW8Qe924ceMf//jH7du3H/30ys3N/cWKOKsDTo+99pzuaAyXOblWMsAdiygV3E4E615hJfxelhlmcqnNi+mN0pAwIDtZ3qvJapan1Emw2OtFFmtsam1/f9/r9Q1pZu4n05Jqxdj1AKi31EgcLewAXMv0RllclehVLruBMIpGGO0LIL/yTiL1bhI1sUa8uHqUPunz+S3Ta6XdqoxGWWq9NLxE8CCVXk8Aw/5xOuNaDOllNhvhW4+N+Ozv79tmN+AyOIq9kmp+hr1S66VlPer0RlkNMrK25UAnjmfVNL9dOV8j9jpSG1s7rgbCKKS3g5R14ujrfM7DNHp2i6IoMNuOKhvCprhCgvzC6k5SrTi1XooVO72TSG0g6HJbFVjs9SqHk91yyLj6IYedHYiwQOr92wKueWo1LqBS8TiNkdEki6sUptZLMxpliTXixBqxfnzl2P4AXUTNU2tM2aTKtLgd0MA7cmkfe+v3+90eQGoUqO3DxgXUePRjxx+7/xx7HVstf07s9f6emVgjvptEhZlD9gVAuvB4fXi+9UYsOTgUqcPrIFn+bhLIGoGxfrfH280yoUv+QTjkZQ57YnZj1+FG062CcUgtXpdYI85oAkktIDpZKYTryg9T6RmNsrw2JZy6oLOd6PIh0tA4f9iOK+LdiCM/TKXntCgQngUKF1+LIcE8qnqCDhu1f5BCl+oA9jq2Wc93nmENfIPYy/LBa2Zm5gyr7OSiTo+9/H4gvoAu9sZVCit6NXDkBIM8LC5NYttzAkrN4uouRzF9LYYUVymMrRRejgSr1ujTDgxpRLe+5djcdqxvOSbnNtIbZddjSBSxDS38QhieKrZlNcs66MaMJhm8EcBZDm942uH0uN3e8j41Om6DcEgNMnLEHQKq0vewzM8ymXDYhxbz+9hmlEkdSB/jGmyHj0mfz//ehxv6be/suRt/cpAMwiH3kmmd9MPZ3rUYUgNx9Hos6VYCRaSd/VDy4ORq/2M//dqxl8/nF2pmHqbSo8qGslvkL7JYocX8xGpxSBj+WjQpvx0kqH4XRexhmVF+SUgYniy0La7uSHSzPSxTTIXwXSEvP7BCFlU2lNEk66Qb0ZgjVEhBCb8hoUhFn+ZZJhPhW7+LJgaHIo2E0Z09t8q4eCEMfzEcnx+w074WQ/o+jvJdFBGsSGFiNB+2tdsDAoiorTs8wO0+ntoMD951HJBUYJDokx8259jrw+b4c+Y5ejy+GgQkFaF/5X0atwfkhdgXtt7kcyNKBVnNh3LBQTikkTjqdIMsq8m5TaiSGlMuzGtT8oftQC3F76eIbPdTaGkNYFJa0g2k9S5HEAo7h2MqhJBlCxxv66WlPerKfg1v2H7khj9sXOikGx8ENL0gwbeFosdOgKEyH5ojFYxDMptkK+tH6WhoE6P382MnQuhh5xunqYFvEHv5/f6lpSUEQYxGo16v394GRjq/2+v02AvIogKu/XxMhTC+SqQxL8EUwuuxpFpkpKz3gPw4v7zj9frmV7aVxoU+zhhkB0PDh9R66es8Ti/LPDm3rrctK/TziTXimAohRzFV2adJDHDt4ypFMRVCvsoOeGC1B1T99EagUww5Lil1ktIetX58BQuhgnDI0wzmFkYu3Ov16SzLCdXiyDIBQzqRWg++pTYvlvaoUWNsKA/Dkk9Bws2ew81RToeXClIbpLaZDa/Xt7HtHORZ3uRzs1rkU3Obm9sOktD2rpCX0STTj68UdQ5HBEjcRx6iv1vbffIPfe3Yy+X2DvLG8HxreqPshxx2LV5Xhx8p61FfDCdcCMPntioIgvG3BdzSbrXOupRcJ4koFTBlk+0047NMZvXgiMIwrzItlPcBf8+yXg1ZZHuUxsAVceUG4FL6Np/bwzS30wws+VRKreRtAbeDbuykG7XmpZpB7Zt87iDPAqEVCAKaFuOrRKn1QMYCSH/lsNtpxuW1YyLgsLH8fv/apqOHZXqVyynqGp4NsAwhczm3TfEql9PDMq1tHqyh+v3+9c09hGd9U8B9b586bl/3eD6XAHqOvY4dNX/Cda+tHSc2Bxz4JKYxNncAcQJy7ZmyKSxZHgbiBWr70urO/MpO9YAWZkdFlwujy4c4iulx+wZHPkkVT4CJUI1YoLJDrexbCYDvm9+ufJ7JCvjtLtThdS+yWfUE3ZDaHlMhjAFfn7La1xsIuneFvE6GKalWHBwKJIEKOobRGVEQDvkuipjfrhRqZkq6Vc8zWY0k/QljDb2fJ9dJTJOrx7Iqj+0M5zuPrYFvEHsJhcIrV67853/+Z1dXV35+fnBwsF6vP/bi4U6fz7e6urqyAlZrwCLT4uLY2JjNZtvZ2YF7tre3x8fHzWbz4uLiCeXAj06JvcBsO5CmH9CY8MCVJ2g/HFsJ0h5Reb3IMsHs0jZU7n6fOZhYLYbzqpBQJL5aJNfPLazuKA0L/GH7zXgKjEveTqAM8iyV/ZqYCkBtnlvettrXn2aAxaobseSb8ZSawZHHAY+wu0nUzIAOfngJv7gLzKvQP+y6l9/v144tYSdVdOkkRzF1NwloTGDFol7nH6x7wUkbGnW6GI43TqzCq97Zc7vc4OK9PkBK3XWAt36/3+ny7DmAnuovVvKXdsDXjr28Pp9pchUqlQThAumu7crSbjUw2YwmlXarclqBoHZGo+x2IsU8tTY1v4kqQF4MB+AMhgtRybf0BmlmkwwPnKkmy3rVMRVD+e3KG7HkQE6Gup1q6OeMZTRKx6bWNradHkA4PBgOMIb4PtqyvQfE6Nc2A3xEjD8V2vRen8/t8W5sOyv7NGhe2Jt87vTC1sTsxrPMg6R6kCDWp9nacQUMWzytFAMqR3kvmWaeXPvMGfw59kJbBLvxJ8ReH1v3QqvF4fTA8D16j32fVI4r5OW1KeOrRMdFKiZIQtvlSMKNOPL1WOCi28syQ1rY1WiwCB0w893Na1di+7/SsGCwrahNC1eiiNfByjH5SiShHq+7m0S9EUc+su71MJVei4wINTNbu2CsfSjyh578kfv5hXD8qHX5M8cOWvifc+MbxF4PHz4kEonl5eU9PT3b29u5ubnx8fEntK7FYomKiqqqqnK5XBaLJTQ0NDo6Oioqqra21uFw7O7u1tfXh4eHR0ZGRkRE/GL48hexVwBkeMem19iKKa1laTeQqA9Pb2FlJ7NJntuqwOqX3grovw9pZlSmxbnlnVaq4XU+9/s48oMUelrAQUJrWWTIJmsRwLBJrZOkN0gBZWpwBGKpB6l0jnIaz7dkNcuzmuU1gyM5rYqKPk1FH9CuzG9X5rUp4eO2l22OO+B7ATMKLN/L4fKkNfzMbDuqbKieoAvCIZFlQ5lNQNjpWgzph1w2/ie+F5asAO81pT1qOLYhrXvYuMBX2afmN+Gy/AkN9OV/9LVjL5SSgj4VnmYyIds9p1XBlE22UvVQcy6mQthEGmXIJlF1htsJAH/fSaRejSbGVAjTAh4jzST9kNqe06roYpjuJFKjy4E7SnqjFBjAtcjr8Dri0HhhhxLhWZjySYt9fXJugzc8rTYv7uyBIDtscZ8POK9LdXPikdlFsPR1aBm0s+dSmRaoYtuQ2v4MY5x1IxbIpnTQjVj2zLNMFsT9783Cf8jhoNd4KYLQSBzF5s9/Qk87x17HVtqZY6/kWol56rRAGc6Zjz2xM9z56tWrhw8fYgv8ie9Fw/K9sAdY7euxFSC3404iNapsqBavuxOQSAyIaR9l6MZWCFuphvgqUXqjLK1BGlMhzGySFXUCuJZWL+1jm8XaWYV+DhuvuB5DaibpOcrp3DYgV5HWABiTCdWipFpxeS/I0IJ8rxfZLMj3ymySJQdMKYSaGYpoXGddxj6PsGf+4f08r0351QUosFf0h29/g9jr//7v/2ZmZiorK3t6ejwej1wuf/r06ccqWiaTxcbG3rx5s6yszOVyxcfHJyUlbW5uTk1N3blzR6VS6fX6x48fW63Wra2t5OTknJycjxUF9/8i9nK7vQKVPbSY/30c+WU2q51mRJ2Al1Z3ynrUNYNaLPaCFqfPMoGCcEmXqpViSK2XVg9oc9sUQ+qZ0oCXC+BvxlMQniW1XnovmXY3iZZQLWLJJ4NDgadEdSCycz2W/DKbXdg5nN4IhjFbMZXRKGsg6lCxlrw2hf0gz9F+JM/R4fRgVSgDmTiCejzAXpcjCWEl/NR6aWW/RjO2BDWf9vf3d/ZcaJIOfNoVd6mcLhDi2dhylvWon2QwbidQYyuFKuPi1758/dVjL5iKFUNGccnjdEYLRT/Is5R2qzvpxrASoKYNk60Y0gm6dAImNgbhEBR75bUrU+okD1PpoFkDge+V9b1h4wJVPNFBN0aVDaU3SFlyYOsJE7UymmR8lf1uEjWiVNBKNbzIZj3LZDYRD5M/ltd2M5tkD1LokPIyu3hAHtjacXYxjC+z2bcSKDDPAz3t67Hk6gEgHYnNGnu/4gs5iJNzGy8xwpWXIgj1BB00SD15UJ/w6Tn2OrZyzhx7pTfILPZ1uX6eKZs6+Y8lnzKdGqUde/Kn3Pkh9vopz9EeyHPcQQ1G0QK9XqDj1c8Zy2qWv4/c3Yglw+FzO4H6YWZ6VNkQXToRWQY8Px6k0JNqJd1M0yDX0kwafVcI6PMgzojXPUw9NAu5FkOqw+tgiB8djOElgkbSKMKzlPeqBSr7iHVpgDuW3nCQL5XRKKvo07zMZl+PJb/J5xKHrCgVEj3tY+/n2S3yc+yFraJfu/0NYq9nz5719vbCda+VlZWwsLDs7OyP1YvBYNBoNKWlpRB73blzp7+/H6ajP378uLGxEY/Hh4WFQWEwDocTHBx8pKjkn7/+9re/VVRUHDkGfQvtGrH5Yg9S6ZJAXonT7RGo7bGVwkbCaEL1oe/K63xuZpP8Qjg+JBRJrBEjPEtuq6KkW5UBXB1UCdVi6N71Oo9T1qtGI5XBOEBnjigVpDVIX+cfzvUfpTHSG2Tfx1EKOoazmuX1BB18Sr2PJyoNCyAO6PVByXL0nAFfwe9XGhbQmGNIGJ4osJKGDizAQkKRhGqRdmwJu4Tg8/mxboAXwvHv6WIwtEQRgYV09HmZ3ihb3/pq7INgtczPz2ObPSoq6u9//3tvby+20r6iba/PNza9VjmgDS8RQIndzGZ59SDwCIqtFGJ74+UIAsK3WGfWUYuei+GE3FYFEB/qOLQKDQKkXfna5p7X57NMr8Hs95oBbREmrg1St5CRgnaw7BpdAZJIArn0dKVhYWvX5XJ7G0mjaH8GyR+DIPnD4/VJdHOQWBOMQ94V8jKb5GjM5YccdtWAtqJPg8bBg0MRlKq/63BjRWXvJlENtpVfm9VBo9HaRBJTAAAgAElEQVSwTX/37t2QkJCP6TmfeR9gyqbiAmrJAVaQ8GP/awZHYFz4Yweg+/PB6oU3vUGG7jl2I65SxJRNnf5yzhx7ZTTKxmc2qga0cZWik/8SqsUUke30p3r6I4uLi7FN//e///3Iuhd8cEAqBbp8e6R8r883MbuRUC2CfAxgrdYK1qiOKDJeCMPTJRP5gdEBb5Xwlp7bqshulkNViGAQdhB00I2xlcIrgTvq8yxWJ8PUxTA1EA59VIGnSJNsSAVIKXyV3eX2Wu3rL7PZN2JB8mN5r+ZJOhO9G7/J5wZ8TY4SP1xubwfdiMbrL4ThBeqZY2Vfjlzv+duP1cA3iL30ev2lS5f+3//7f3/961//8pe/3Lp16wSels/nc7lcdXV1EHtVV1ffuXNnbm5OIBD893//d1FRUWtra2JiIqw+pVL517/+9UhV3vj56y9/+cvJ2GvYuADtF2F3D7jpASXSRuLoyxx2cZeKIrL1c8ylPaqnGcycFrlIM1M1oH2exSKLbMl1wJJlgAsCiGU96pc5wIT4wMyxTYENvgREv5hUsa2TYboee7ie8V0UMalW8jid8TiNoTItUsW2sBJ+dNmQdHTO7T6Jd+x2exX6+bgqUWgRr48z1s8dy26VdzFNCdWiPra5sGP4dUBwfwVjZb+944JE0aRaiX58BfKa9xzu7JbDhyVMeJyY3ThSq1/424mJCWyzX7ly5a9//etXir38fv/GlnOAawnIbskoIls3w4TnWVoDKVFlPWqsvU9wKPCG4g9P0yQTRZ2gi5b3apiySbF2BqV8wY79IIVmta/5fH6Rdub7OOA3yh+2Y+MjICs2jzPIswThkDuJ1KJO1fMsFp5vTagWJdaIJbq5hJrDGchB8scOkLvroBvRZa2r0cSSblXt4MjLbHZ6o4wln8xslj1MpfdxxpLrJC+zWU2k0QWgyAqeJcBHfG23m2l+HRAh04+vuN2/2jihubkZ2/T/+Mc//vWvf51jryMD9jfCXhW9mmOhIXZnTIWQNDR+5HzO5O2rV6+wTf/v//7vH2KvX/wht8dLl050M01ZzfKnGczCzuFethnSIlPrxVSxLbJUEFkqQHjWPo4ZnULAMfU6j5PTooA38CAc0NIb5FmiA7YoVLGtok/TxTC9ymV3M83Y6X0QDnkQUO0iDo33ME1Ol9fj8Rptqyn10rQGafWgFh1NIBcylkwR2T4EVetbjvx2ZTvN+K6QF1MhpIoniruGj10h+8UaOD8A1sA3iL329/fX1taoVGpLSwufz//Y/APtAVjs5XQ6i4qKrl27lpCQcPfu3ba2tv7+/sjISFiIQCD417/+hX7x2I0PY45+v9/n8x+IhQfSicNL+Og8414yDc+3vncIRvfEV4l4yun8dmVhJ5DLA6KjjTKOYvp6DAke8ySdmdeqSKwR57YpkkHiGHBRDC3i52EmSUE4pLBjuKJPndYgxcZZ7gdYYrcSKFnNspQ6yc04cnqjrIthOtaB+MgFArayw60xLz7LZEaXD6U1gPhmG9WAOvQF45DsFmBIjNY5mpOMFuX1+ga4Y1hxsoQa8erGHnrA17jxpcUcsV3uF+tzz+FpIevRpaMnGcyawZHcNsXE7EZlvzaxWhyFEY6/GE4o6lJVDWheZLHy2wFhK6tZ/t6xRAnsOA1oHw7CIUk14uX1Xb/fPza99q4QuEUNckGoBXtMabcaRq7DSvjpjVKGbBJdW4UT6+8iiejxRV0qt8fr8fr4ajs2X+yHHPYAZ6x6YCShWlRP0KU3AmJiSCgSVymq7NcOGxeOhH7cHu/apuOsjFDOY47HdrBvEnsdudIPY45HDsC+hUMS/gcLt+mMuEpR9cBIeIngdT6XJZ8saFcWd6kSqkS1gyNk4fj9FFpcpSgJ81wIwiE5rQogetckuxUPtFeIGOeSC+F4hmzyuyjiiyxWG8VQ0XcgVwSHT2KNuBYZuZtEM06A/ER4Gk6XZ3PH+Z50ix1NL7PZKtPRIbO/v+9ye7OaZfeTaZlN8uRaoC7ZTNYfESHCXu/59i/WwDeIvba2tuh0ekFBQVpaWk1NjUql8nhOmt1isZdKpeLz+W63e2Ji4s6dO6OjoyMjI0+ePLHb7bu7u7m5ucnJySfX6RHs5fX5lgOsF83YEkykd7m9NMnE8yzW1WjSg1R6ZZ+GLpnAErze5HMLO4exi1WP0xh1eB2KV4JxSGkPAFUEgTWzCdDqn2WxrseSyEJbeAkgft2Mp+CKeP2csSfpwKKrql/7JJ35XRTxYSo9s1mW0QhcIHtZ5qLO4esxpFe5nPdyyadhXMFrkevns5rlD1PpHXRjUi2ws8BK8z1MpctG50/OVVzd2EutBw7c12PJr/O5p/z1k6v9j/30i8Je2C63tQvy+06unIm5DTTDEaadZ7fIZbq5rR0nVWxLqBY1k/WADhJDup1IjakQFnWpYiuFRZ3DUPTrSQazi2Fa3XCYJlZiAhrxsFklI7OwGzicHgLf+jyL1cUwUsVAUuT7OPKtQBflq+xFncOv8ziNxNGKPs2RyXpCtbi8V30rAfTn8BLB5NwmvJCNbWctMvIwlf5dFPFJBrOROAoN3VPrpfPLOzTJxMsc9rUY0r1kWlGn6rd2RzjHXsf2rnPshVYLTK6yzWyItDNj02sOp2drx9lA0KXWS3NaFSl1kl4WUGBB3dWeZ7LaqIakWvG9ZFoLRf86j3MjjnwrgRJWzB/gjpX0qBuIo08zmFnNcuhDj05O4qpE+e3Aeii2UkgQWNHB+GMep4dlvhpDuhxB6GWZd/fc2JPZ2HIcjqZ0Zj1eN7O0dezjQGdZxgUG7+1EQOhcWj3eBBa98PONk2vgG8Re9fX1Dx8+LCwsrK6uTktLu3v3rlgsPqEWsNhLoVC8fv26tLQ0KSmpvLzc6XRub28XFxenpqbm5+e/efNmbGzshKL29/ePYK/p+c3sFoBUngSY8msbYE1oz+lRm5f6OWNC7ez6lpOtmEKFUoNwyJt8bn67EqvC8iCFjsVegVUu3vjMunR0jimbYMomW8j65DpJQbuyqEtV2DFc3DWM8C29AYfH5DpJUo24ok9T2Dmc0ypvJOqymuUZTSBxZnR8GeFb9bYVpwvo+518Xfv7+/BanmexUuulWc1ysmjcNrvRyTBiLSnuJdPE2oOH7scK9Pn861sOrnKaILCaJldP+esfK+1L2P9FYS9slyvrUa9v/gKXzmpfx0arv4sitlENew73nsMNyCUt8qoBbRvVkNkkK+/VtFEN12OBIvaQZkasne1imGSj88truxSRLadFXtmv6WaYuhkm/fgKmnUBl0vV5iXjxEp+u7IOr6vq16bVS7Nb5GHF/OoBbQfN2M004fmW8J+bokSUCqYXNunABn7CvnD4PPD5gFCcQG3voBulujn7whZLNslWTK9vOaBiy4hleZBrEahnfgezuXPsdewAPMdeaLU4XR6WfCqiVPB9HOVdIZfAt66s7yE8C0xXDyvm08QTzWQ9Gvh7kc3KbJZlBm7RJV0gnp7bqmijGkTaGUD2bQNwLaNR1ssyo2lSEH7FVQqJQ9biruH0Bllxl6qyX9PHHqsa0Jb1qN8V8YJDkUsRhBayniGdxJ7Mzq5rY9vJlk+V9aihaUp+m9JqX0fPH91we7zjMxtkoY0ln0INkdBPzzd+bQ18g9grJCREKBS63UC3end3t6OjIzw8/IR68fl8k5OT4+PjvsBLp9PxeDy5XL6+vg5zlZeXl6VSKZ/Pt1gsJ5QDP8JiL6D4MqhF+cLBoUgPywwd9Hw+4GfiC0QiZxa3YjFOeQk1IvHI7KtcNlQxjq8S9XPGVKbFW/GANAP1IBqJo1AWSx4w4KsZHHmVy7mTSL0Yjg8vERR2Due1KRuIo3BFKjgUKelSKfRzdXggPBFWzP8uitjNNDtcHo8HiCRt7jhhtpfP73e4PMeCoSPXcieRivAtO3su89QqanwRhENS6iTzK0AX7RcryuvzQWEn9MgTfh095svc+HKw15FmCg5FBnmWI7PYI/W8teOq6tcexhzTGaPjyw7gDeplyCYvRRDuJ9NiKoQ1A1qFfo4sGm+j6BG+dXF11+nyrG7s7ey5xqbWosqAl9yFMHx4CT+nVWGYWHV7vDt7LjQqATq820sR2lKBY6kkpgJYBr2X44Js38p+4O8+yLOggnAhYXiuchpkfngBv/7DHuXx+qDjlt8P/L+xgUUfMAvynbz4elYd6Rx7HVuT59gLVguMuYeV8F9ksZLrJD/mcd4V8gZ5FqyzbWgxnymbTGuQ4op4aQ3Sos5hosD6LJP5IIXWTjV0MYzAYtW2YrWvlfao4Ti9EUv+MY+D8KzoeLkQhhdqZsjC8bBiXi/L3EQafb9QbZ1eR3gWNC5xJ4lKk0ygFJEgHPI8i6U2L7k9XrzA+raAiyrgl/UCRf4PW/ZgrB03Hj88+HzPyTXwDWKvy5cvGwwG9LIFAsGbN2/Qt7/1BhZ7bW47oTs9uiwcWsT7kGji8XjNk6v5bcqHqfT8NiVXOVWLaAcDKcGkofGkWnFSrZijnJLr5yv61K9yOR1049IaYNJAWfykWnFclaiHZYaqx9djSKn10qoBLbRwuRpNKu5WtZD1Iu1MZhNYaWgi6ZmyyYIO5eaOc3vHyZZPJ9aIizpV4zMbOutidos8t00xal0+8sA+ci2P0xl0KUjDKWhXsuVTuW3Kx+mM8l7NxCzQr/+ESnZ7vGrzwa9/daLJXw72OtJMQTgktlKIpcRi6xm2ss/nn1/eaaUYXuawQU9TTBV3qd7nQwwbFxoIukGepRYZaSSOhpXw65ARtXkxq1meVCvmq+wEgTWqbKiFrKeIxntYZvSefi+ZRhKOdzNNUeVD7+OVSxhf9s1tB00yUT2oLe1RgwTeZnkH3dhK0TcQdFejSeEl/G6mObQYmLWTRbbdPdcndKTf+Svn2OvYCj/HXrBafD6/eGSmDq8r6lT9mMfJaVUQh8YLOpRohDEIh3wfR67Dj/BV9uoBDUVki68SpTVIucppsXY2vVEGUgeE42TRuN62ckQ3vx4PmGHvCnjAZ0I+RR6ymiZWB7iWmApheqNMopvd3XOhQzu5TqIxLzJlk9gwxdVoUj9nbGPbgaYtw0fV43TGCZ70x7b4+c5fWwPfIPZqaGi4e/cum802Go1kMvmf//xnfX29LPByOoHDw2/6wmIvl9ub2SxDgVcQDqno1x6ZT0BTlPQGaWSpoKJPE1kqiA2MvWvRJN6w/WLA+QeuKNDEEwrDfHmvup8zBnk8GjPwv4PlXwjHc5TTl8IJUIQprQGQCS6G46HCHgwVwSNDQoEta2W/Zs/hJgoOdCJghgueb70cAdQfLoTjTZNAhh6tK+y1XAzHU8UT6LldCgf6FJvbziOXhn73Fzf8fj/2Wi6G4y2/i0LPL57YKQ/4crAXtplgc9cTdHDxCRBs/f4RrD/BT60M7BzWdvvYYwrDPEorvBBYeXqWwWwm6UNCkYvheIRvRRs9JAzfzTRfiiAE45CkWkl8AP1fDrxNCHTggDMjsCSKrRQu/+QQ5/P7F1Z3ctsOlbiBKRbTPMgdex5Qor8eS8pqlrdRDXPLv6sV2Ckb+sPDzrHXh3XyW/g5Qo2JPzbP8ciVnoZr7/f755a30xqkaPQjslQwwLVg6e3PMlmDPMsPOWyOchpavV0Iw/cwzdixhudbizqGk+sOU7IuRRC4yum7SdScVkVGI7DopYon3hZwCzuGoRIEuItOg9CNx+vb3nXBaIbWsvQy+8DyAeQ/ptKF2lmX2wuFstFHVWq9FHqNwMgP9kFwpBLO335yDXyD2Ovhx1/Ly8ufXFOn/CIWe+3v749NrQVkVCm3E4C698LKzpFyvD4fX2VHufY34ykp9ZI6vK6TYUysObAPgkMiqmyoh2kq7Bx+ksHUjC1t7jiPcJNjK4X5gWSZOmSksl9LGhrPbVUUdQ2n1ksTaoAvMjq0XuVyzJOri6s7bwtAAhr8uxCGz26Wp9Yf6Ncn1oixel3Ya0mtlx4RFIguH9pznpTQcOSqj7x1OD2xVUDeCf3LaJJ9RcJ9Xw72wjYT1DhdWgVLpC63d3JuQ6iZqSeM/JDDRgEWbGXg58i1ZDbJPuxRBIH1VS7Qh4ssFRxpdFwRL6MRTC1g8mxCtbger3udzy3rUcdUCBNrxDmtIA8XmNMppz0B8yjDxApLNonVE7oRS06tl6TUS2oGtXeTaNdiSC9z2DTJxAn2Jkc6zx/79hx7HVv/5+tesFoCGiuzWKR1K4GC8C11aLJIOrMW0VX2azOb5OjoCy3ix2MkHoNwQCK7l21uIul/hNT7eEplnya6Ygi9YQbhQGJvRkCnHlVyKelW7TkPPOPh+ew53L0s87NMkHr1KI3RQNBBZe+l1V0guJ9I/T6OjCvkQS3G9S2HyrSgNi+ubx2mrh/b3Oc7P6EGvkHstbm5ubq6arVaR0dH5+bmNjEv1JbkE2rqlF85gr08Xt/k3CZFZGPIJhcwwRe0NK/Xh3Ltg0NBAmN8leheMi23TRlZ9rOhhSvi9bDMpd2qh6l0kXaWLplA/efhCIwsFXQxTLXISCvFAIWPI0sF1QPa9Abpe/l4LPZ6mcOeWdyaW97+IQewyuAfFLOAT9MgHBIF4NTPxi16Le9VWI/cGnBFfGxgC726U27sOtxY3Q2gUFAr/kzB8VP+9Jkc9kVhL7SZGLJJSIl1BawUosuHbsZTfshh57Urodgp2spOl7eHZc5ukUOdXrRLhJcIrPb1FwEt+JgKIVZsAsoL5bQqgnDI3SQqDI70c8YQnqWHaSrvVb8NpES9yuWUdKuUxoX1LUcLWf+2kJvbqrifQkd/4loMKalWklgjbqcZqwdHBjhjI5blPeepkj/OpO0+s5Bz7HVsBZ5jL1gtXp8/YN5AQzv893Hkfs7YIHcss0mWVCvJapZ3MUwlwDJVgY6+iFJBNIYBDF23B3mW+yn0zCagDVTYOcyQHXP/D/ABJOjcJr9NeYTi4vf7d/fcw8aFPvaYRDe3/VMetM/nX17fY8mnyELb+MyG2+Nd3dgr7AC5zI/TGYUdw1+7DNCxvfSP3fkNYq+lpaXMzMw7d+7cuHHjyZMnnZ2dJ2tMnG0DHMFeUNERcIE/wk/0+fzTC5sl3aqrUURcES+nBTzMgnDIzXhKN8uMhhQDIR4Td3g6r03RTjPyVdO1yMgAdwxFVCFheIRnKeocbiSNovOhC2F4KANRiwA+DSw5OBSBVH2nC1gLoyTrazGkTobpThIVyCMFmJsfspXhCjbQFh+ZOzy3UIQstDldnl0HsMj+hPr0+fws+RR6LRfC8JKRuQ9//RNK/n2+8kVhryNdzg8k5TaiMRpdUKQHOq8LNTNQfM48tRZdPjTwc7Y7UzY5u7RdiwCN7O/jyG00I7bR6wNudECVvnwooUbcRNLfS6bVIiP1eB12PfVpJlOun+copm7EkkNC8VFlQ4k1YjQE8yyTmd+uLOlWvyvkqUyLbjcYJ79Pq53Jr3w+9oLKf6c8mT+5rv3XGHOcXdpOwkQwcEU8gsD6Ipt1K57yOJ3xfRz5XSGvlz2GK+Sho+9GLLmJNIqOteBQpIWshylNlyMID1PpTSR9gBxpwt4zB3mWiFJBXpvyckAVD9xFdXNuj9fr8+063FhCCJrphe110HQE5rV4vL422uGjITgUaaMZYZYY9ivn259TA98g9oqPj3/16pVIJDKZTEQi8eLFi9Am6HOq6fTf/RB7nfBdSHzOagFqdQSBtZ9jRpeLg3AIroiH8C1RZUNvC7h9bLNxcvX9kzK+GlDvqWJbTqu8hTRKEo6HFvHDS/gEgVWknUkKhHiayXqU+Pwwld7DMncxjGTReFyl6FUup5NhglR9v9+/tLrTxTD9kMOOqxRJR+dl+tnwEkFEqYCjmD455Od0eYbUM9HlQ7giPglMldYr+jUJNWKaZGJrx/kJ/IDdPTdDOhlWwo8oFQypZ07+9ROq9A/56EvDXthKCLB9Z9FcpyAcciWSmFonKewYhq3s9/u3dpySkVne8HQjcbSPMxZWzA8r4VNENoRvEY/MkoXjLRT9q1x2K0XPV9mjyobe5HP72GOddOPjdGDH3sc2EwTWlHpARompGGoijd6IO7RSuBpN6mGairtU8FlyL5nWQTeW9WqeZjBT66Uc5RSeb+lhmYSar6zRYSV/Pvby+/39nLGKXs3Jf9WDI3L9wjn2wkrYH7v92+naY4fV/v7+afhe+/v7Ho/XOr0GjEfTGFnNcqlurgYZQWfCkGtfM6hlyiabSfo+ztj7GEJ4CZ83DLj2MeXCH/NAchVLPinUzCRUiV7lshsIgK2bXCvRjC2ShsbfFQKuPcKztJD1CuMCQTD+Yx4nplw4pJnpY5mW13ZpkomEGnFFv2Z2afuUkZ/tXRdc7UaX615ms1Hf4SP1cP7202rgG8Re//znP8fHDz0lBALB8+fPP612PuFbp8deRwjmF8LxFvsafIChPT6/XTnIGxsdX5aNzumsy9C0C1LvkQAv/l0gI6yZPMobnsZyM7uZ5qvRxJAw/OM0hkg7u7HtWNsEcgBbu64jeYhgeRnIfIOcMihDv+dwn2btAQqV7ey5pxe2UEJDSCjSTjN+WrgQ/fVPgG6f0FJn+JUvGXv5/X7T5CrW0/NOIpUhndz9qZUdTk87DTi1XQzDN5NGBSr7/PK2fXErqnyIKpl4FND1fZHFKu1RSXVz16JJ6Q2yvDblk3QGWWirQ0YaCLpG4mhR5zB8nJT3avB8y4usQz7v/RQ6X2Uf5Fm+jyNfCMOHFfOzmuXvCnml3WpgUVXMn5rfhCdzhNh75O0ZttcZFvX52Gt/f/80yzkJVWJWwEb6z+zneJqK+qKwF9qHHS7P4tquyrTwIJUOHUHQm/yzTFYzWZ/TokhtkBgnVmjSiQaCrnpAm9+q1NuW8TwLXPG6EknQ25Z7WOYelrmPbc5uVlAlExGBWXdmkwzKg70t4HIUUwSBtZ1muBhBaCKNdjNN6HPhQSp9bvlUAkBuj7eoaxg9wyAcAl0l4MBBL+oMx9GfsKhvEHs9efKEz+c7HIAeuLu729fXFxcX5wm8foeH+umxl8PpwboUB+GQ1HqJXD8HVblvxJJf5bKbyfrbidTCzmGBero9IHb8OI0Bc2EiSwVZzfIbseSUOkl2YOUMO1TCSgREoE8hqUVGIFPS4fRYptfe57ksre0eK5j0ab3f7QEeq1hv7B/zOJPzBxLkn1bmV/etLxl77e/vO5yePvbYozTGlUhiwDlxGGshNTm3+d4UCO0816JJPSzzIM+S0SiLrxZlNgHLoCAcElEqSKj+WfJHWDE/u1n+IJVe3KWKLh/6Pg5oDrXTjHXISH678l4y7XIk4XYiNaNRZpxYNU6sVPZrMhqB6uOzQEoj/MXv48hdDJN5anVj2zm9sKk2L84t77g9XqfLMz6z/tPbY/S9vpBOco69jm2Ic74XDP1v77qMEysG28rGtnPP4Y4JGMbHVwGzoNuJ1CuRhHvJtKxm+dtC4AsXhEPKetWkofFnmayX2WyByo4ywC5FEF5ms9uoBmC3yjTVE0AyVny1KKNR9jidgQ7eG7Hksh71exOI+ym0yFKBXD/fxzanNwLzN6AWGUno54ydMnQ4u7T9Jp97PZZ8I5b8Jp87uwTyjqGwkX1xa9i4MDm3CXMhj+0A5zt/sQa+Qez17t27S5cuFRUVNTU15eXl/dd//Vd4eHhl4LW1tfWLNfKZB5wee+3suUKLD4YcHDyhRWCpWW1ebCDq0htlBR3Dj9MZzWT9AGcsskxwK4HytoBX1KV6nQ+SE1/nc4hD44CqXCMu6lId4UG/ymVX9mvDSwQEgXVmcXNt09FONb7K4wC2ZrPcYFvxBtyFP/Nioc/XEc39pxnMY2WRP/+3vtgSvnDs5ff7d/bccv18O83IUU5Dbyu0Mi32NawK3ZUoYjNZ38kwZrcowkr4+e1KCJViK4UoQx9219d5wI1KNDIr1c0Cd5R6QAF+msmEaviZTbL4KlF6o6w6IIsfVyW6nUjFFfFqkBFsOVejgRxdfJWorAeIp9xLpqXUSRT6eaLA+qaAezeJ+j6vXmlYcHs+hUeIXuNvt3GOvY6t23Pstb+/v77lAIZvmcynGcyyHvX0/Oa7AMb6LoqYWCNOB/OQ4bIedXT5EDp3zW9Xbmw5lYb5mkEtSz4FU4yDcAiQYOxSvcxm30+hp9RJqge1jSRALMlukaM58kE45Fo0qYWip0kmGNKJOrzuRTb7QQo9o0nWSjF8F0W8FEFopxmxxK9j2w7u9Pl89oUthGfFC6z2hS0YrHS6vAKVPbZSeCuBEl7Cp0kmPie9/YRf/zN89A1ir8LCwrzAKz8/H26g/zc2Nn7rRj099vL5/FTxBNRigfT2Xrb5bQFXMjI3Nb+ZUC0OCUUiy4Z62WZsDuDTDGZ6owwQn6kGlnyqqHM4t1XxMJXeQNBhuZnVgyMwDvhDDnuQZ+Eopr6LPrQlzm9XnpV0HpCMsizdSQQMfai5X9arOavCf+vGOqvyv3DsBS/T5wNKE06XZ8/5s5SIzW1nWe+BXnYQDnmcxtCPg5l6TIWwg27MbVWUdquCQ5Fb8ZQWsh7l9gaHIt1Ms8sNmLzzyztFncMPU8H8+2I4Ib1BmlAtvp1AfZHFephKT64VYzN2n2exslvkqF3p0wyA1b6LIgYHZOeeZ7FuxlEKAglW6Gw+uU5yyljJWTXo6cs5x17H1tU59vJ6fYNcC5rJBOjqVANpaBy94T9MpZsmVslCG6omfyEML9fPe70+qW7uXjLtXSEX5kIBZ9IuFYrPAhESaWaTrINujCwVxFeJ0JHyIpttsK3sOtzEofHDn8YhBR3DWc2yO4lUg23l9MEfkFnlOXSV8Pv9Vvs6duL0Moc9Ylk+DUHl2E7yJ9/5DWKvnY+/Tsk0/Jw+cXrstb+/v73jGuRa3uRz3xbwWtJhmdgAACAASURBVCmGmArh5UhCA2F0Z8+lMS+m1kubyfqygJ0wOrquRpPy2hRUka2daogoFTQQRjvoxrhKoVw/J1DPRFcIX2azK/s0qQ0HMl3XY8kF7couhgmVdArCIQ9T6VNnFxZ0uTzv/bPjq0XPs1j1eF1gkvQ1pap9TnPD734l2AuApHqCLrNJxlZMYdPL7Qtb9Xjd8yzW+wzEYcMChGjDhoVWioGrnKro05T2qF9ksar6tVTxRFiJ4HUep5tpXlnfg5fv8fgMtpW8NuWDFFpem9IwvmKaWC3qVD1KpWe3yAe5llsJB3ZYcGpePaAt6VY/TmMkVIuaSHp01e2HHHZWs/x5FiuhWnwl6nCqcDeJqhlbOv0z4/Mb9PQlnGOvY+vqHHvt7LnQhCd4936Zw55b3h7gWN4WcJNqxHTJZNWANrFGXIuM5LUp4qtFQ+oZhxNYutUTdFCmuHpQ20oxFHWCsAaKpYAmagoI9MdXA7u5HpYpr035OI2RVCtWGhacLuDVjco0wp9+nMbgq+yy0fnPkc3zen1c5TQ2a+daDGmQa/li16SP7Zlfzs5vB3t1d3drNBq/3//sg1d+fv7vVuO/Cnv5/f7Z5e02qiGvTQlXAq7HkklCG6TDu9zeueXtRuIo1vzrbhINz7eic53gUCS/Xbm66YCTjz2ne9S6HInxJH6QQq8eHOli/gx7RZYNLf/04DyrmgmMedcpyQRn9aNfSDlfBfZaWNl5mHogrBUSinQzTE7XoWWbx+vb2nEduTXvOty2mY3IMkGAa6/OaJRdiyGx5FNbO84PxUTcbu/GttPtPijT7QFvnS7PiGUZmzN1J4ma1iANZDhOt1EP89iDcEh6oyyqbOh+Cj29QYa9xb8p4I7PbJxjr3Ou/VfEtXd7vMXdKnTOHIRDMpvkLrDiDAgA0wub2MHYyTChWYRer48kHIePg2Ac8q6QO6S21xN0kOYLCwwt4qfWSy+G4ztoxq1d1+aOc3FtF1VYdLo9tYgO+9NR4Ia/+5l3S5/frzYvPstkoiXfS6YJ1ECk5jNL/nN+/dvBXnw+32q1+v3+4g9efX19v1vr/irstb+/73R5BrkWQEyOIFyPJb/3W13dcKBn6/H6LFNrVf3aW/GUSxGE7+Momc2yNqrhNmYh4T3X8r3YKToAdvbcjcTRWwmUi+GEm3GUnFYFQzqJB+rk7BfZrMwmeV6bQqCyH3nKor94vvEJNfDlYy+Px9fJMELhH3jrfJPPPc3ap8fr4yimHqTSr0QSr8WQcEW8pbWDm7jf73c4PZNzmxb72ua2E/ZAn8+/ue202Ncm5zbfZ5NALcc2quFOIvVSBOFGLDm+WgQNGy6G4QVq+5MMILENVbb5w/bH6YyHqfR+zlhWM4hLXo4AZORBruWL1Rw5X/c6drycr3vt7+/PLm4/z2JdjSZ9F0UELNjpdVhXHw7G1/lcyMe32NdWN/aW13aT6ySg/0cSHqTS22lGhWHhxzzOtRjS5QA9/3144VE644cctsIwj9rVYxtidnH7ZTb7ajTpSiTxQSpdoLKjDwjsYb92e2fP3UQcvR0YyzfjKUWdqj8bveTX1tgJx3872GtjY2PmI6/fwUoIreJfi70gD1qqm2sgjJKEttUNB3aQ+P3+7V0X/DStQZrbqiANjTeT9TdiD/WT7iRSh9Qz6DpEQK7JxVZMVfVryUKb0rgAU5p5w/bKPs2LbNbTTGZ5n2Zm8TdPO0Dr5Jvf+PKxV2AqPHIxHJh1wr/H6QzL9NovNg0EWGrzYgtZj/CtUCgffmt719VOM/6YxwFU4l61fQH0KPvCVlmv+mkGE+Y8QrG3zW1nwCpYW9ajTm+UoeJG5b1qvW2lvFedXCsp7wWSE43EUdno3M6ua23TQRLaGgijUt3czp77y1z02t/fP8dex3ahc+wVkOwBdPWAvKLJal9HYwIfDsZHaYyawZF6gq6oC/B39ePLy2u7sP8P8izZzSDXuHpAm90iz29X1iEj5b3qtAZpea+mkTh67Cza6/XOL+/0sszvNVrVpsU9x9mMIPhw4avstcgIUza5sfUpUo7Hdpg/4c5vB3t1d3c/DbyePXsGN9D/X2zMEe1wkAd9RHkL5vTaF7dyWxX57coOmjG+SvS2gEsR2d785MN4NZpY0DE8Nb/pC3im7jndTpcHMKC9PkgdmF7YjK8WPU5n1OGBOjl87gJpe8LBoPX5/A6X55TJL+gJf70bXq9vzwEo4md4CV8+9vL5/CrTIrpcGoxDirtU61tHreU9gW6D4njYA11uL+xLUJoECkB4Al5YKHE4JBTpY49t7jj72GbsTppkApYG/RzpkgmUrR8SirAVU/PL22W96udZLMhHvJ9CUxgW4Gm43F4YoznDljrzos6x17FVeo69YLWAdV+He2fPjZ1RfzgYMxplOS2K2EqQ3XI/mVbZp1la33W5vfMrO9C2C6Qx4ZDXeZz3liThJfxXuZykWnFijVimn3tvhuvx+vacbjhOsT/04Z5jG+vX7vT5/E4gE3mWt9Bfew7fwPHfDvbKysoqKSmRSCT/8R//weVyZZiXwWD43Zrq1657nXxigVG6UNqjymtThgZEKWsGR/B8C0s+lVAtCi/ht1IMGYE0fqNtlSQcz2tTEofGecPTVvs6hBcej2/UujzIs6ASMhB+vchmrWzsOZweuX6+uEvVQtHPL+/8DrkIJ1/vb/qp3+/f2HISBNbMZjlBYF3bPDOD2C8fe0GVL77KHl0hfJrBrOzT2mY2sLdpaOjWQTfmtys5iqmtHRf0GLHNbNThgY72iGXJ6XJPz282EHXlvWqlAXRL2JcC+R/K0sCaVmk36KvoylZijXjPcegKurqx10EHS2VvC7gtFD2eb4EpXbAcKEFUi4wI1PbCzuEOunFpbRd7kr9p9/i0ws+x17H1do699vf3vV6fbWajBhmpGtAabCsezyG90uH0AIuI8qEnAWcIpmyyqEuFK+JX9mnIQlv1oDarWd5BN6rNi6hsdSCJGJ/bquhmmhoIupwWRXipoJdtNk6sUkS23FbgNScbnZOPzu/sgcF7bLuc7/xyauDbwV4VFRU3btzIzMz8t3/7t7S0tBzMq7Oz84Qad7lcHR0dzc3Nbjd4SFRUVPzzn/+8dOkSgUDweDxer3doaOj69ev/+Mc/ysrKTigHfnS22Mvv9y+s7hR2DF+KIASHggT+mAphNxMY0SdWiwUq+7UYUkgY/kIY/nosiRuQtr8cSSjpVr3J507MAkENv9/v8wHTmLy2A6dI+JyLrxJt7bo4iumr0aSQUFDCw1T6/PLOL17g13vA9q6rrEcNa/JSBCGvTXFWZIWvAnvBnrC541xa24Vm1dgb9OqGI7ZSeCEcHxKKXIkitlOBOcHU/OaNWCBGHxKGvxFLVujnoTZ9SBj+ajQJL7DCJa6EanF8tQit2PhqEarCWtGvxS6pwhg6SzaZ06K4lUD5LoqY06LAKrtejyFlt8hfZrNCQpEL4XhcEe/Mk0LOtgOfY69j6/Mce+3v72OHz/UYktG2itYVHIxLa7tdDGMjcTSpVowOn8wmWVylCNyTw/E5LYp3BYcakFeiiL3ssYWVnaRa8cVw8ES4FEEoaFdGlAiAL0VgvJT1qAc4lmMDkeivn298CTXw7WCvxcXFurq6uLi4f//3fw8PD4/BvOrq6j5W16urq9XV1X/729/KyspcLhebzb58+fLS0pJUKr148eLq6qrdbn/06JFIJJqfn3/w4EFXV9fHioL7zxx7jViWsTrgdxKp6Y2yu0m0pBpxbEAlGV0zSKqV9LDNkWVDEaWCjCZZWoPU6QJOqqsbe6bJVZVp8Vkm62o08UoU8XE6Q2NeWt9yhGMyIi+E4ZtIeuyT8uQr/bo+9fn8CsM8VgP6QQpdqJ09k2WVrwJ7ndBeXq+PIrJ9H3+oBPFDDtswsYLGO4JwSHgJP7kWODaif1HlQyXdqsfpjPSGA+Fs+NG9ZFp6g/RxOuNlNhtF834/UBebXtgUamYym2QJ1aKizuH0BmlqnaQu4MkNc01iKoQlPWr0J0ASO8+CEmVOuIQ/6qM/FfbCgvWTK/wPxl5C2ylP9ZSHHXuxJ/s5utze3J9Pd5NqJUdSRnw+v8a8mNcGTCDQPv8wYDp0PYYUhEMeBYQb7wcsIq7HkmMqhAsrO0zZJKqnGIRDnmQw0xqkVwL+2TfiyMVdqm6myTCx4nR54dI1vP/bF7fOZeiPbcc/aue3g73QGiwvL3c4DlMF0f3HbjAYjLKysvT0dIi9OBxOUFBQU1NTQUEBDofb3t5msVivXr1yuYDdIYFAuHnz5rHloDvPFnv5fH65fh47Mq8HTITeFnDrCbo3AYF7dNC+K+QVd6kSqsXVg4DUHFrM39p16cfBE/RBKj2uCpAJWimGVorBYFtxuTzT85vPML57IaH40h71kbsDel1f+4bX5xOo7dh71s14ClM2eSbEr68de7k93l6WGQ0UQgU4lWkRWqDADhZXJUIdTuCeV7nsuaVtqniigTiKlYS4GU9pJI5SxRNzmCj27p6bwLe+LeA+BKJfig668Vkms4thaiSONpP1TaTRxBpxH3tMZ13GWk9eiSS2Ugxf8iT+T4K9EqrFXOX07NL2iHV5xPILfxNzm38g9oqtFNElE/MrO7pfOlW9beVzWBYnY69dh/vI3PhdIW9nz+3x+twegIpgUMLp8pCFNuzwuZ0AZtffB9zor8WQuhgmuX6+iTRKEIwvr+1Ozm5U9mtRaeIgHHI3iZbZJId+jlejSZlNsohSwet8bjfDtLHtRO//74p4BL4VSwD42m/pX/v5f4PY61c1ye7ursvlqqurg9hrfn7+2bNnhYWFycnJ4eHhy8vLHR0dcXFxsEy5XP63v/3tSPnNP3/9z//8T0VFxZFjPvnte7my+ZWdtJ+EUgNWQtwBrqWwYzi7BRACsLzmTobpfgqYPyXWiPPaFHTp5PL6Lnbp4lYCRaSdBVbZPr/X68PzrcVdQLIcPkqvRpNk+vkzWQf65Ov97b7o9/vti1uoLho0KJyY/UTVqNXVVWyzl5eX/+///m9vb+9vd/6/acl+v98wsfIi+8AAOxiH5LQqltZ22YoptIPdS6Z1Mc0oUz44FKnD61xur8fjG5taw8Ky8BLB2NSax3Nowujz+SUjs+gDJhiHZDTK0huk3UxTQcdwcq0kt1XRxxljySZXN/ZAn/xpde1hKv1LE86Wy+XYpocOZktLS5/TQKeRrfpjvbQTa8QC9QxVPJFcK0msFp/8104z/oHYK65SxJJNcZTTKXXSk88zp0Xxq1qtr68P2/TBwcEPHz78WAk+nx87fEJCEYJg3L64RRyyDnDHxu3rkP7l9/snZjewYvHhJYKEahFMSYb93+v1wfSprR1X1YA2s0n2MoeNTrljK4UxFUJoavI4nZHTqoCTqJBQhKOYxt7/b8ZTFBg1oo+d+fn+36cG/uzYCzgSYrBXfn5+c3Ozw+HY2Nh4/fp1f39/V1dXbGwsbAyJRPKPf/zjSMPc+PnrL3/5yxlir/39fY/XZ5xYzW1VPEihp9ZLRdrZ9v/P3nu4tY2s++N/1d67v/Ocvffc/e7es/ccStqmbwrJppKyppfQewm9dwgBAiQ2NgYMtjHFHdN77726yir+RVYihAFjwPTxw5NIo9Fo9HlfjT6aeUs17gtz1Z0ZlC3OoHe8juK9juJlMTq/xjUmHsj7/tXVolGVBuobWzYx1UwtbyciairV0Nv3/PB8aVyx4klIrVOcoIw3sLZh6XyhCQhnYpdwOwjNxTOgheZK2/rnD7zAOjo6ShX71atXf/rpp7PLvYxPASLpnPFKwV1iE0paBydWEATFJ6sahmmxgpcReHrQ1M/t+eyetzH1L8Lr0r90pJS3EQEhIQhu6ZkLysJXHoOyxHhkfAimqoQOglPK2y65MMgXxqOgGoZgsLJ5+FlY3XVP1g1P1vPwujrp2IYKGplaSylrfxJS65XS3Nw+fdomYvPy8qii/+WXX/79739fEO7Fahz2Smn2SGoy/5fH6j5x7lUrGffeq6tBWWKqlu657ejoSBX9Dz/8YIZ7GQwG4vF5G1P/Jpr/qa5/eGr1r5j6m96VNzxZjpE80vxLDyNt/fPkuCTqnM5mdj0O5mzX//HZ9UfBnCchtWlfOrxTmx8GVAfn4DkqEkoUDoE1XilN2cxO8gvKhkbPqug0Gf9zWTvHpNjz3kEFqyMAuNcW7nXr1i3SMN/Lyys3N/erpdfTp091Otwbv7i4+OnTpyYyMMlgdP36dfPcC0Vxr2PLA67gVpnGXMhzS6oNNdQzukTaJts5MV6E17GbRyqbhh8Hc4gZLFsa3S9DODK9BumRyfmNv2JNTTUJ6xlIjwTliO1dGM/D6+KKFcE5kuSyNjIouck97riLB7JX66yyZrdj+1YvJOxbVRpodkml0kAoPi9zQG8gFEWpch8bG7t+/fpZ4V6EBqq1emoiNgKcDRU0t6xaWdeQ+MAIuryuEXVMv3nPv+SCW9yH5UmzKjoTPinCC2QEMSLOXVPqRmfW14xBVjEMM8a116o00IYaj25fyu2npgn6K6a+qnkkJFdCsjEb42SbRocHItLo4IUV9YbqUDKyuv4QDUIQRBV9YWHhjRs3APeisrHzyr3UajVV9M+fPzfPvfB8iAi6sq5dXtMo1RBfPu5BSQ0UmoeHuSfdoYhxaUMFraxrFlZU+Gi/Tf8XVtQuCQIbGv2qG/NdanPq5/ZsJu7wmMXoSPvcUcDu9kxpIueMiXmvXFbX4yA80Sp+ljuzomH4DI3YR/QIn5JmAffawr3y8vKuX7+uUChqa2vv3r07Ojq6tLT06tWrT58+yeXymzdv8vl885Izb++l1ug54jHneIF7UmNj69R+v+mVaojZMEyu3RAPYdrn9oHxFY+kxqvueOTx6EJ5ann707C6wCxRW/88QzB4+x37kgvjqjuTGpTcYDD0j63c86u+7Fpxxa3iQUA1ERvT/N0RRyE90to375Pe7BjJK+LggQAOTGIsudzpr3OG7L1IDXRNaODJJkw0UAfBPNmEa0KDc7yAIx5Ta76Fh1hT6iLy8bUMe2fGdU9WWJ40OEci7ZrdUTQIgo5Or5Vz+9nNI14pzS8jeUU1vQPjy7TY+qtuTDzdwjt2Lqs7t7Kb6kRiQ6O/COeSmVV2bPkUFl4Qey9izfGCz3uZqJ95ey+yMvE4fA0+/CiYE5QtzmV1PwjAU3s9CaldV20JsKfWQBzxGC1W4BxHPH24kTH1ByMoRzRG5Cy54sb8M4RTVNOXVNrmntR4yYXxh29VOW/grg+eQOJ1NJ/VOOydgg/RmYzO4BwxkZRiae1bDlZqs2D7RBAA3MsAw3BtbW1lZSVs/H369Mnd3d3f318ikeAhSlG0q6srJCTE1dWVTqfvKSQz3AtFsTrpOGkxY+/MEHXMWG5fhaIYRzzmmy6kxeKfPsSfQxCnsXVKo4UWVzXlvMG0z+0xRS2kCdefwbVtAwvCjunU8vZS7oBJtCQYRvvHV/JY3R+qesZm1i00O8UwrGNw4brRDQeP+OdE/xruj0wltic+57LCWeFeJhpo58xoattMx4aiWFPbFKmfds6MOuk4oZ8oihGB5uNLFMzGYXHnTK/RXWO7NAkLxehCeQa9kzTeJ5RkYna9pK4/7UuHpGtW1DHNEAxlMTrJz3RbJ/qH6t7T7NK4/WYvTlx7wL22S98S7kU8DgGZmw7Cr6J4obmSq24V6V86qOmAiEzV1KePL58wmaPCp4S1emn3bNqXjo/Vve2DC83t0/PLqvqWycRPrQzB0PyyStE3n8no/FI/SFiAEUN0+peOcp7p+L/9jkDJcSIAuJeV0TbDvdRavUv8Jm2yMS4OanVbLGPM9Obr8g0ttv5xECemqIUWK7j9jv0yglvK7Vdpvn0eIQjaN7ZMzXV6zZ1ZVNOrg2AdhOz4VsPXhvQI6Xdj5urkIUiPpJS3kWMEPl0RwZ1eUJIVLuDGWeFe2zXQPalRo/s2ufU1KYJ7UiNJ641xJRqorBpPlmDMmoCHm99luRZB0eb26eAcsVdK03YlgRFUZ0wnjKCoDoJnF5VRH+SPgjiPgzkxH1uWz+BHOZj3oq42Etvndc3RZGSzhHuhKNbcPk11VL/pXRmeL0373D4xu05tcF2lo1rcE85AJhNjRH08rLwx5YMWgong8sTTRBA1FMXT0EV/lFMf5FdRvIVD59Km9hZsHx4BwL0Oj+GWFsxwr6/JH7xSm6iPREiuxGTRZ0tbW3c0WvzVaOfMeBzE8UkThufLCqt7lOotIYxHZ9ZeRm66wPzuwSrlDlC/rrY2eZA9PYxkMjrJjyobGv1NNH926TwHZd0TprPCvbZroG+6UPvdLv6rKhJZrkkV9U5ttvzbgEAJRTFJ10xwjsQnXUjlXjsqCYpiy2saRd98a//86obV0gzsKS8rVgDcC3AvM+qEYvjj4BCILzISf3d82HTB4MqG1iQnj1INeac0k9VsaHTvlOaDLcFDeiSpbDNIng2NTosVrKyfZz8qMyI4tYcA97KyaMxwLwzDZN2zJGuxd2H0jCxZbimFYVhj6xRx+iWXilvelQPjKyana7RwfmU3ueb4MoI7PrOOW1WjBzQq344OhmEjU2tkMm87J/qn2n6d0Wh0e+ULUnJWuJepBjozOocWSRXCMKxzaHFTP50ZMmPMEa0OtlyFMAxfnYz52JJf2U3Eh7Sh0c0oCWGnb3R7sJqKHqfWAe4FuJcZfSMeh/B8Kbm27pHUOLesIh868lwUwzOuUp8+Rd88ObsMw+i6SmehXzaGYYMTK6RbMRHeYsd1D/LqYOP4EQDcy8qYm+FeBoNBr0fkPXMBmaKQXEnPyJLJcv6eXdFBsKhjxi9DuNvpGIatK3WsxmGXeEFeZVeDYsojqdEtsUGgmNzvBIaZziAIOj67Hl0o90hqrBaNmsy9mTnxvB46K9yLqoFB2eL2gQUTDUQQtH1gIShb/NVCRd4zp9FCsu5Zr9Qml3hBnXScNL03L0cUxZZWNRUNQ8KO6fB82flWEsC9APey5HEorO59+56fQe+cW1Lt9iWs18PynjnfdKG/8enT63FzFBRFp+eV6V86/gypjS1uGZtZN3lmd7w6gqBj02uRH/D83FzZhFqDuw/vWBMUnhQCgHtZGXnz3At/ljBMq4N1EHywhwFF9z4dQVClGhJ3zZBfUXbODIFicrdn/mAQQHpErcWNdw52+nk66wxxL1IDtbtoIIZhWgjW6nBTEnnPHFWFOOIxy1UIRlCVBiLmzM6xkgDuBbiXJUMZ8Tjsaf5BWGspjRFwiPAT8ytqamxtl/iGybkNC98dkB4hImlb0kNQ55gRANzLyoDvyb2sfL1dmtPo9J7JW2zLvuZ5BAkldkHrsMVni3tZeLdaHUz1z7Kh0Z3jBVTTewvbOd/VAPcC3OvoNBxFMWHHNJGthDAFu/2OXSUcBQuIR4f5sbUMuJeVoT4l3OvrvIV36hbLTc/kJo3FPpVWBuW8N3c+uRcEUz+4CccrQN9NdBlwL8C9TFTCirsoiok7Zx4a44GRpvo1YutkobViP0FTB0AAcK8DgGbulOPkXpAeUWmgHZf/sW2Wm8L2aQtnqs3dHji2EwLnknthGNY+sEBdc+TJJkjj351g2LkMRfGgRFrdARfZd2701JQC7gW419EpI4Zhi6uakFwJaarvltg4s6gEI/nRYX5sLQPuZWWoj4d7EdbuYfnS19H8L/WDa0rd9qcRQdCvnjLvUps9k5skXbP7yhdkZVDOe3PnknsZDAYEQTuHFn3The5JjU1t+07DYDAYdBD89UT3pEbfdGHn0OKO3wlnWjsA9wLc6+gUWKPVC9unWU3DyWVtz0Jrk8raZhd3NdU/um6Alo8CAcC9rIzqMXAvDMP6x/F0QMQstK0TPYPesWMkGNJu+gDTFVbG5Vw3d165F2HtqzOa3ltuZU+KmsjEQEb5sndmtPZvus2T1c70BuBegHsdkQKjKFbRMGTnRLel0V9GcMPyJJ2Di2AkPyK0j79ZwL2sjPkxcC9Ij+Syui67VpCB+J6H141MrVn5TkBzFiNwjrmXxRjsUFGt1TtvTeQQkf8t/fYOtc9mEeBegHsdkeaqNNBfMfXkII8nmz93j88RQXcmmgXcy8piOgbupYeRfHb3FQr3ehHBHZ0G3MvKorS8OcC9dsRKrdWbpEmJ+iC3PJHDjm2etkLAvQD3OiKdVGv1TnFbctCdv8fniKA7E80C7mVlMR0D98IwbHhy9WFgjUdSU2ie9GloXQ6zS6X5lpXPyvcDmrMAAcC9dgQJxTCebIK65tg1tIig6HkyvQfcC3CvHZXf8kIERdUa/fZvEhTD2M0jm4+PC6OLkoXC8vZBzdOJAOBeVpbLMXAvg8EAw8jw5GpQtuRVFO9TXf/ymma7rb2Vbww0tzsCgHvtho2Jrb1GC50z03vAvQD32k359yzHMEylgWrEo05xgsBs8cjUmokzikar58knXBMa/DNFfWPLJkf3bB9UOM0IAO5lZekcA/ci5r3u+2/a2udUgHkvK8txX80B7mUGLjzGhE6vhWAUNZ0Gax9YOOvfDIB7Ae5lRvnNH9LD6Gf+oJ3TtzTbl1wYvaPLJk8EEaLlwHlQzHcAHD1BBAD3sjL4x8C9gL2XlWV26OYA97IEQo3O1PwrKFushfCkdWf3B7gX4F4H1t7ldc3bGD7Vmj7hUyukRw7cIDjxDCEAuJeVhXUM3Av4OVpZZoduDnAvSyDc7vYYkCmyYop3S/pg9TqAewHudWClWlrTvI7ewr3iihWAex0Yz7N1IuBeBr1eX11dzWQyYRiOi4t79P137969srIyBEFaW1vd3d2fP39eUlKyp3SPgXtZHt9rz96CClZBAHAvS2DcHu5L3jN31uMV7ca9MAxDLU4zn1zatp3BmJT4pArrJOO1knHvlGaTQ9t3pdrQ8AAAIABJREFU0790jM+u+2WIth8yKYnGPU+R4GyJSbnJrm+6sKF1itU47GXB1fNY3f3jK37pe1/9/Ue5wWAIyhKbXG77bkiOZHhqzRKgvFOaLQQqKEtsid7uVsfR0dHBwWG3o5aU62HkU10/ueZo78LoHFw0WXO0pB1Q5ywiALiXoby8/G9/+1tiYiIEQWq1esP4q6uru3v37uTk5OLi4rNnz5hMZm9v7++//15XV2dezMfAvYy29mj/2EpQjuRVJK+ktn9pFdjamxfL0R4F3MtCfNUafZ103CW+wTu1WdZ9HnItmOFe04vKpNK294UtZv7SvnRMzG9YQikA9zp/3AvDsDWljtkw/FdMvV+GqHt4CYbBgqOFY8mZr3bRuVdxcbGjo6O3tzfBvQh5Li8vu7u7V1ZWIgjS0NDw9OlTrVZrMBhKS0u3f+gsbP1du3YtOTn5ePQC0iPKXfI5Hk8HLuxVYBimir23t/fatWulpaUXFhDLbxxFMfVZTu+oVCqpos/Ozr5+/frCwsJ2BCyZebJ8OgdwrxPnXktLS1TRP3nyZPvrYLsa7FmCoKhqpxgTe54IKpxpBC4691pdXdXpdJmZmST3QhCktrY2MDCQGE+Li4u9vLwIGYvF4p9//tlE3je3/n788cdj414mPQG7x4bA6OgoVexXr1796aefAPc6NvxP8EJ5eXlU0f/yyy///ve/AfeirhKe1zVHR0dHquh/+OEHq3CvE1RmcOkTROCicy+DwQBBEJV7bWxshIaGMplMwlzj48eP3t7ehIQkEsl27lW69ffbb78B7nWCCn08l15dXaWKPTs7+1//+hfgXscD/slepa2tjSp6d3f3y5cvA+51EbhXZWUlVfSXL18G3OtkH8YzfXXAvUy519TU1LNnz8bGxgi58ng8R0dHvR6PGk+n0+/fv29e3j///PPt27ejwO+8IFBQUGBe4gaDYXZ29n/+538eP358Xm4a3AeOAJvN3lP0eXl5//3f/x0QEGACWXZ29vDkEi2i4nngZzN/7jGV/aMLkTkNZuoQh16H0ln1PSxB76sQ+p6VY/IEI5PLTpGsPWv6JdVodXqP2GrzNd+GM2pFA2W1nY7Be189uai5e3ieFsE03+bzwM/+yRyDweAWU7VnTcuBcgz5YiFQrtGVBoMhOTnZRHZJSUl9fX17iv727ds///yzyblg90wjkJOTA0HQnqK3SgXAvUy5l0AgcHR0hOFvYYemp6cdHBz4fP709PTdu3fLysrM4/7rr7/+8ssv1KnpE9z+4Ycffv755xPswG6X/vHHH//2t7/tdvQEy//xj3/88MMP1A54eHiYl7jBYJibm/t//+///fbbb9QTj2H773//u0lvj+Gi5CX+/ve///jjj+TuMW/87W9/O+qrWzKBXVBQ8NNPP127ds3k9u/cufPs+YvbfzjcuvvQzN+dew5Pn73448Fjos5v/770n3/772s3/9h+yu27Dx89fvro8dPth7aX3Hvw2JKr37r78O69Ry8dHe/ce7S9kVt3H/7PL//6z7/99627D2//4fD4z6cOj57sWM2k8P7Dx0+fPd/z3vGr33/kiF99D5Ru3X1IAPWPn//3//v7/5hcbvuuhUDd/sPB0dHx1q1bJrJ78uSJUCjc86m/d+/eAQYxW1vbH374wdbW1uSiR717IkPu//3f//3www+XL18+6rujtn+YkcHZ2Vmj0ewpeqtUANwLjzGRn5+fnp5OTG6VlZUFBQWR4CII0tTUdPv27V9//TUxMZEsPxMbx+N0eQAoHBzwUe8AJx71KVFRUTdv3jzqq1irfTc3txPsrZub2wmuuRzew99aUrBiO7t5TVrxEvtq6rQ9DudA6FKp9ObNm1KpdF+COHzlExlyKysrb968OTo6evj+W97CWVESwL0sl+nZqwm4135ldtpeNub7D7iXeXzO3FHAvcyL7Ky8Vs3cBeBeZsCxyqGzoiSAe1lF3Ke0EcC99isYwL0sRwzMe1mOlYU1AfcyD9RZea2auQvAvcyAY5VDZ0VJAPeyirhPaSOAe+1XMIB7WY4Y4F6WY2VhTcC9zAN1Vl6rZu4CcC8z4Fjl0FlREsC9rCLuU9oI4F77FQzgXpYjBriX5VhZWBNwL/NAnZXXqpm7ANzLDDhWOXRWlARwL6uIGzQCEAAIAAQAAgABgABAwCIEAPeyCCZQCSAAEAAIAAQAAgABgIBVEADcyyowgkYAAgABgABAACAAEAAIWIQA4F4WwQQqAQQAAgABgABAACAAELAKAoB7WQVG0AhAACAAEAAIAAQAAgABixAA3MsimCyv5OPj8/nzZ8vrg5rnAIGVlRUfHx8ej3cO7gXcwr4Q4PF4Pj4+Kysr+zoLVD4HCLx//z4kJOQc3Ai4hRNBAHAvK8N+asM6WPk+QXMUBBYWFm7evFlaWkopA5sXAoHTFhXiQoB+Om7yrMQyOB1ogV6YIgC4lykih9wH3OuQAJ7F0wH3OotSs0qfAfeyCoxnsRHAvc6i1E5PnwH3srIsAPeyMqBnoTnAvc6ClI6kj4B7HQmsZ6FRwL3OgpRObx8B97KybAD3sjKgZ6E5wL3OgpSOpI+Aex0JrGehUcC9zoKUTm8fAfeysmwA99oNUK0OVqohBEF3q3B2y0+ceyEoqtJAWh2MYdjZhfEs9hxwr+OXGopiaq1erdWjJ6rtgHsdv+jP0xUB97KyNAH32g4opEfkPXPeqc2vo3ll3P7lNc05owgny73WNrR0wdDb93zPlCZRxwwEwdtFAEqOCAHAvY4I2N2aVWv0HPGYc7zANaGBJ5vQnZy2A+61m4xAuSUIAO5lCUr7qAO4lwlYKIpJu2ftnRk2NLoNjW7rRM9n9+j0iEm1M717gtwLQdGS2j5bJxxbGxrdzpkh7JhGUTD7dUwKBbjXMQFtvAyKYlXCUTuKtvPkEyel7YB7Hafoz9+1APeyskwB9zIBVAfB0YVyghkQ/76M4C6takyqnendE+ReSjX0KopHhTc4R6LVgamvY1IowL2OCWjjZVQayCmunqrtrgkNGq3+OPtAXgtwLxIKsHEABAD3OgBo5k4B3MsEHT2MpJS3UYdL5zjB6obWpNqZ3j1B7qXR6d0SG6jwxhYpoPM1rXiadQNwr+OUzleLRp+0Zqq2+2eKTmrZEXCv4xT9+bsW4F5WlingXiaAYhg2Or12yeXbmqOdM4PdPHLOLO5PkHthGMaXT9h9X9K95MIYnlw9Z+Z0Jhp1qnYB9zpOcWAY1tY/Txow2Lsw+saWT0rbAfc6TtGfv2sB7mVlmQLutR1QBEEnZtfjS1oDs8QNikm1Vn9Sw+X2vlml5AS5l8Fg0OpgYcd0cI4ktkgxPLl6znitVQR0dI0A7nV02O7Ysh5GWvvnI/JlUR/kXUOLJ6jtgHvtKCBQaCECgHtZCJSl1QD32g0pSI9odfBJGcbu1iurlJ8s9zIYDCiKaXUwpEfOGam1inSOtBHAvY4U3h0bRzFMB8E66IQjqgDutaN0QKGFCADuZSFQllYD3MtSpM5RvRPnXucIyzN2K4B7nTGBWa+7gHtZD8uL2BLgXlaWOuBeVgb0LDQHuNdZkNKR9BFwryOB9Sw0CrjXWZDS6e0j4F5Wlg3gXlYG9LiaI4JlHyw0/DnmXhiGr2biMcRBzLCdVBFwr51QOdVlxJOu0R3W6hRwr1Mt5lPfuQvEvTAM02g0GxsbSqVSr8cfPAiCNow/nU5HGMogCKJSqTY2NjQaDYri2W/Is1QqFYLsHREUcK/tOo99/20/RJZ8r3IyQUHVGn2ddNwlXuCV2iTrntXvM0bDWeReJODEBikI6oZej8i6Z71Sm1ziBV/xUWtOJpAStUunbRtwr+OUCKm0xEVNdi3piVYHCxSTbokNHsmNwvbp/T7p1EsA7kVFA2zvF4ELxL16e3s9PT0fPXr09OnTgoKCmZmZhISEx48fOzg4vH//fnZ2FkVRDofz7NkzBwcHb2/v/v5+DMOGhobc3NwcHByePXvG5XL3xBdwLypEGIbp9cjE3Lq8d25ibn1HY3B8ZgWChyZX2wbm55ZVMIIes8E4imIc8RgZpuGrB7u8Z25fqeLOFvfChQKjM4uq1v75/vGVqfmN+RW1HjaFHcUwec8c6c9v58zgiMfA7BdVvQ0GA+BeJoAc0S7+qaxHxmbWW3rnJuc3ID0C7TWwbO8JimICxST1SZd0zR5YpQH32o4wKLEcgYvCvTQajYeHR0FBgV6v7+/vz8vLS01NffPmzcrKyvz8fGBgYHFx8fT09P/+7/+KxWKlUhkfH5+QkABBkL+/f0JCglKpFAgEV69eValU5sEF3IuKjw5CGhST7kmNt9+x3ZMaudJx7bb8a0o19Km2/3U0775/dVC2uH1gATne5S21Vu8cL6AGbAzIFO0rNPzZ4l56GJX3zPlniP7wq3oVyUspbyvh9LX0zOnhLWnOtTo4IFNEhcU5XqA+oRjiVKU6VduAex2PODQ6uFo06hIvuOPD9kppEigm6yTj5geW7R1Ta00DEXsmN2kOmgQCcK/tCIMSyxG4KNxrZGTkxYsXJSUlISEhcXFxcrk8ICAgNzfX6J+PlpWVhYWFsVisS5cuEZMujY2Nr1+/VqvVdnZ2crncYDDo9frffvutra3NBNzkrb9ffvklOTnZpM752CU+PS137cZnDSdXXRM2o66/fV/fO7oMw6haq4cR/E2Polhj69Qt70ryHR+aK11X6o4TMbVWT+2kDY0elC3ezhGpXVpcXEym/CIjI//5z3+WlpZS65y2bQQxwm6c8fKnkKq7vlWpn9tL6/pNEj1pITgoW0zKxYZGP8H8LacHzKamJorkk1++fHnp0qWFhYXT08Pz1xMUwzoGF19EcAlt/N2DFZYnfR3NJ5Xz7Xt+z8jSnjNYGp0+trjFM7npgX81ce671GbLv7IKCgqoov/Xv/7l4OBw/tAGd3Q8CFwU7tXe3n758mU/P7/Ozs7CwkIPD487d+6Ul5cTKLPZ7ICAgJycHPJZUigUjx49UiqV//Vf/zU4OEhU+/3337cvO97c+vvxxx/PJfdCEHRwYiWprDWmqKVzcBGG9zZ9QxCUL5+4/Y5NDpE3vSrp9YN0waBfhqiY07e4qtHo9EllbWTUexsa/UFA9fjs+vFoP3EVFMN4ss3Q8PbOjPaBBfPrnqOjo1SxX7169aeffjq13AvDsLUNXWXTcECWqKCqR9gxfc+vihTKFdeKwCxx2pd2Wc8cNVIlhmHtAwvUNUeebGJfS7HHKcRju1ZeXh5V9L/88su///1vwL2OFH89jHzmD1z3ZBFKe88PnyC/4bX5wXbTqzKronNoctXMuISi6MyC8n2h3DlekFzW5psuvOrOVPTNm3/Sqffl6OhIFf0PP/xAvi+o1cA2QMASBC4K9+rs7Lx8+fLk5KTBYJibm/P19f2v//qvkpISAiMmkxkUFFRUVHT37l2iRCaTPX/+XKVS/fLLL729vUShvb19c3OzeVjP65rjGCUvkL0Lo3t4yTwO+JwWhrX2zz8NrSVf84+COKG5EpKNvUttXlzVlPMGrrozyTpOcYLFY8+0rYPgprYp96TGryNy5/6DZZ/yNUeVRp9S3m7rRLeh0e2dGaE5EuqcwXVPVlC2+HEQx96FMTK1RhUrgqCdQ4u+6UL3pMav+JxU4jxql07bNlhzPAaJoCjW0Dp5//tk1S1vdlC22CGwhhw0HgbUBGaJ//CtMjMuzS2pyFPsnOhZFZ0D4yvUj4393ghYc9wvYqA+FYGLwr3m5+cfPXokFAoRBBkcHHR3d3/27FlQUJBGo1EqlYmJiZmZmX19fT///PP09DQEQR8/fgwJCdHpdG/evCktLYUgaGho6J///OfKygoVvu3b55J76SA4LF9KjnQ2NLpPmtD8qhyBjFqrL6zufRBQfcWt4oF/dXSh3Ct1MxXuXd+qOun4woo6IFN0x4d9zZ35JKS2VjxGLEdux/ZIS4jQ8JavqFI7c5q5F4ph7YMLTygM+FlYXfqXjsfBnGvuzNvv2B5JjWF534S7PTMxZowhfl4TElCFeLBtwL0Ohtt+z9pQQSnl7ff8qq+6MR0CawqrerIYnQ/88YHlD7+qoGwxYTaw27ikh5GPNb1X3CrIQexVFG/scPPrgHvtV4igPhWBi8K9UBQ36vL09MzPz4+IiIiJiZHJZJ6enikpKV+XCH19fbu6uhAEiYqK8vX1zczM9PDwaGxsRFG0vr7e1dU1IyPj3bt3KSkpVOx23D6X3Euj1b9L2+RMNjS6U9zeZteEk+PqhraxbSq/sruxdUqgmHwczCGHv1velZVNI3oYWVnX1ojHijl9bQMLGt2+U4UgCKqDTjJb0TFwL9To53UAVqqHEXHnzIMAfJLAlkZ/HMxxS2ysFo3Ke+YKq3uTy9qCcyTkag6w6NrxoTZTCLiXGXDMH0JRPDXQbjNPKIo7NpIKj2HYukonUEwWsHtEnTNKNbSh0jW0TkbkS0NyJN6pzVfd8Lnz3cYlSI9kMjovu+Lc66pbxbOwOu/U5tHpLbO85nu7/SjgXtsxASWWI3BRuJfBYNDpdHK5nMVi1dXVzczMYBg2OjpaVVVVWVnZ19cHw7DBYFAqlfX19SwWS6FQaLVag8EAQZBCoWCxWPX19evre9shnUvuRcz5k77Zdk70KuGoectWFEXHZtZL6vqKOX0jU2saLTQytVbRMOSR1EhyL1pM/fDUGmFvgSAobn6/Tw9HDMNW17VVwpFMRkdz+5RSDVluvWH5Q7JnzSPlXsTMU8fgYgG7my4YXFzVWIgSimKLqxqGYDCvstsvQ3TrXWVMUUtgltgvQ8QRjynVkA6CZd2zmxZdTnSefMLCxvfE5IJUANzrAILGMEyl0Ys7Z7IqOllNw8trWqrWEeF8W/vn8ypNFZ4gZGRlGEHb+ufJtUgz45LRWn/hD98qh8Ca+BKFb7ow8oOsb2yZCOJ4gFswGAyAex0MN3AWgcAF4l7HI/Jzyb0MBoNGq68Vj7kkNLx9z69oGFKqIPN4Ts5tPA2tu+7Beh3NL6jqmZrfeBFe5xwnKOP2R+TLHAJrQvOknYOLegts9s1caF2pC8+X3vKuvOyKLz0U1fRptDiHPubfkXIvFMWa26cdAmuuujGve7JosfULK2pLbnBpVUOLrb/uybrnV51U2lrZNPLVHey6J4tY/2U3j6xuaDdUOnbziFOcgBZTX9EwpAEhJCxBllIHcC8KGJZu6iD4C3/wvn/1FdeKG16V/pmi5TX8Q5f4wQjKk40/DKy58l3hTTxwv1fE/9do9VQFNjMuQRAs6ZplNg47BNZcc2f+7sF8Glo3ObdBbW1f24B77QsuUNkEAcC9TAA57O555V7fQvxr9SrN3ull9Hok8oPssmtFZIEsh9X1MoIbkisVdkzT6wed4wWpn9u7hhZV2sMGkiBm4+74bPpRvozk9YwuH//U15Fyrw2VziuliZwstHdhfKzpI9didtNXBEHLeQP2LgzixGdhdSG5EmJdhij5K6Y+tlgR+UE2Mbuu0kBqC8S627UucjngXgeQ/vDU6pv3mxEibnhVsppGyMXHxVW1W+JmYBp7F0Y5b5A8uv1yKIaptfo9FRhBcD9Hk7ApkR/kBw5tD7jXdlmAEssRANzLcqwsqnmOuZdF92+spFRDjpG8F+Hc2KIWwr3OhkZ/FMRJ+NRKmFzYuzC6hpc2VNDQ5OrozJpGu28bLzzimtHz/BrFR/KuT5W4c4ZckrC8w4eseaTca25ZRTWSs3Oivy+U7xmUSAvBqeXtfwZzgrPF0YXypNJWvwzhllge/tWJpa02NPrT0LqxmfXjJ6yHxPyUnA641wEE0do/bxLlJLuiC/qeyGtsZo10SLSh0e2c6MllbSY+tkRuhrklVffw4tySantWBpNeYRg2PLn6sab3eXgd+RljQ6M7RnCV6j2m8E2aIncB9yKhABsHQABwrwOAZu4UwL0MBgOMoJ/q+sLzpc/CNke6a+5Mvwzhs1C8xJZGL+P2p5S3PQ2tfRnJza/sPkA8VSLiIpWXeKc0j8+eAI04Uu6l0eoTShS2NDxCBG4p7M7kySYQY7JRM4qIopi0azbtc/urKN7DwJqwPGlpXf8dSqw1vwxhfmW3DY3+uwfrU12/SVB7My2DQ1QEAPeiomHh9syiihrd975/NfWTaV2piy6UkwzpqjuzsXXK5INKB8FfC9+lNd/xYb9La25s3SMAih5G8tnd2RWdqZ+/BVvBRyEnenZF14FTNQDuZaG4QbUdEQDca0dYDl4IuBeB3cq6lt088tTItIhh9Jo70zddSLCxF+Hc1O8Rp4hBkNU4bGZZYTd5aHQws3GYFiv4w7fKJ00o6pghv553O+Uoyo+Ce+ExLyAY9z/AsMGJlYgC3EjOMYpXWNW7sc3YjnAZ08MIOX1FWImRk4K2NHp0oTyD3vEignvPr9o7pTm/sjvhEz7vdc2dWczpMzG8IyJuwFuzDB0FdGe9TcC9DiDBb1mtMkX3/KrevOd/4Q+qKGnaERTrGVkKzZM+DKx5l9pcWN2zpty0BiOMHwbGV2ix9SQ/o8XWD4yvEMqvh5HtXs+QHslldUV+kH2q6w/NlT4O5vwZUhueL/tSPwByCh1AguCUwyMAuNfhMdzSAuBeBBwYhq1saNO/dJBrjoSHERFiJ75EYTL575bQcIAPUKMPIDI6vdbaPz+9oKSSjy1SOeId63IvzGi/IuyYjitW5LO7ZxdVehhZXNV0Di0OTqxqt8Xg0EGwom8+qbQ1m9k5MbtOuG7pIDilvM3OGE+VeEU9CuIUsHuCssWRBTLP5KZMRqdjJI9YC5Z2z26odMSry+iDBjW0TsYUtXyo6plfVh3GF+yIgT/55gH3OoAMyGzubQMLw1NrJkH1MAyDEXRuSSVsnyZioLCbR1bWN30hYQStFo3epCQiu+VdWS0a1euR2UVVPrs74ZNC2j1LfVIwDOsfX3GM5DEbh53jBKF50tBcKS22vqV3zmRGzfLbAfNelmMFam5HAHCv7ZgcqgRwL8ISa21DC+mRpVVNSW3/iwhuaK60e3hJ1D5dwO7OZ3fLume9KUFWbWj0mKKWfRm96iB4Q60jpsqw779DSe4QJ1uXe8EwWtk0cs2DaefEsHdmOATWzC6qvt8iRu2mHkbWNrSy7tkbXiw7Z7zyLe9KwnULRtBSbj9pa29Do7vEC5rbpgKzxJ7JjTXi0QbFpEt8g3+mqIw38DSsrrCql7Ahg/RIOW/gmjvTzolu78J4Ec6dX7bIrZLasYuzDbjXgWVtotIwgm6odKRd19Kaxj9TdMmlwtaJfsWtIv1LB2mYhaKYqHPaIWgzrr1DEKe5fXpmURlb1HLFtcLOifG7BwtPgUWJWQPDaP/YSh6riy4Y9Ehq8kpuYgiGhqdWTWZ8Lb8dwL0sxwrU3I4A4F7bMTlUyQXnXgiCDk2uxha3PAysiS1uGZpchSBYqYYgPbKwrCqu7XsTzXdLbGQIhmrEo3d82JddK664VjwIqLbc2RvSI6198z7pzY6RvCJO7/KahlxoO5TkDnGydbnX/LLaOU5ArqfYOzPy2T0m9lhUnMPzZZmMTtJ4ObG0jWCxs0uqp6G1V9wqLrngnKyU2/8goDq7ovMzf5AWK3CJF1Q24XHRiIlJxyje4MSqwWCYmFt/S/FBu+rGLKnr39Ot8hDgne1TAfc6vPxQFJtdVBWwu19EcP0zhe0DC3hEG8nYH76bWUefhta19c+TXGpDBcUXK657suydGdc9WeH50nzj6d6pzWXcgT9D8DxmbomNa8otztQqDZTL6kr81JpS3haULb7uyQrIENHrB0en1w5g8AC41+FFf5FbANzLytK/yNwLw7Cp+Q2v5M2ACF7JTVPzGxiGoShWxh0gl8DsnRnMxuHC6t7QXElsUUvv6LKZJLhUCRExEsk47LZO9I81vVQbLxTFDhCjlXqJA2xbl3uNz64TLw+Cftk5MeKKFeR8AGHvYoKzU6wgwDhJYEOj+2eKiNwAvaNLeazugEyRZ3JTXLHiS/2gS7yguLZvM0auM+Nz/SARpONhQE3H4KLBYOgfX34UtJl74IpbRQ4Tt0cmVyQRBDUaoW2ZgTsAaOfjFMC9Di/HDRVEtf6851fV1j9fzhu48T15tg2Nfs+vqrl9mnQxIdLDV4tG44oV9PqhLEbndY9vmbbv+LDjihXX3JnPwurISHhEUNalVfXrqM3YFjY0+ptofkiuJCBTNLuETy3v614A99oXXKCyCQKAe5kActjdi8y9EATlysbvUr5W7/pWETP/Kg1EjehjQ6N7JDVmV3TWSsbKuQPFnL6m9qkN1d5R6b+ZMTl/C1tlQ6O/iuItrWnI8GOtxlHbwtYOK+zv51uXeynVUGJpK2knd82DKeyYJr/4DQbDdpzv+LADs8R3favsnOhc2TiCopAeyWZ2XXJhPA+re/Oef/sd+3l4XRm3n2qhbFyIbAjIFNnQ6KF5UuJFtbKuff9RTrhV3n7HxiO0Mbsqm0fGZtYJs7M66RiraXh4au3AizXfYTsP/wPudXgpDk2uPqXkG73sWpFd0dk2sEDYIxJfIL7pwok5/CuOejkEQbUQPDix8jQMn+gi/i67VvimC19EcDPoHYTJl1an7x5eKucNVItGy7gDD435tYjoFQVVPY+COPf9q4XtWx4x6lV22wbcazdkQLklCADuZQlK+6hzobkXigoUk2SKDxsa/b5/dUPrJIpiSjXkHL+5jmZDowfnSKTdMwXsnichtb97sB4G1qSUt6+rvq0R6GFErdWTn7mkAIi8bGQaHBsanRYrWFnH3aC0OrhCMPQsrG57a+TpR7RhXe6FotjI1FpiaeufIbXOcfjKoIkXAmLE+UFA9csIbmCW+GUE975/dVSBLIPeUdEwtLKBM1E9jHyo6qEC9Saa39o/75G8mdPJhkb3TmmOKWqJLpT3jCyKHVMyAAAgAElEQVQRC4sIig6Mr8QWK/4Mri3i9P0VU3/Hh33Lu9IpTtAzsvQutfmub9Ut70paTH2ncZ7siCA9K80C7nV4SY3OrL2M5JLk6YprRQG7Z12pa1BMeqU03/erDsmRtPbN6/UIDKMqDUSugMMIvjs8tfoyYsvpUR9k5byBCWO4GRhBGxSTjpG8G56sP3yrfNOFFQ1D0R9kkcbnJThHYkOjOwTWSLpmqZ83ltwU4F6WoATq7IYA4F67IXPA8ovMvTAMTyDon4HPoxB//hmihWX1zKIy/Ut7CWW165ILQ9Y9J+ycpk6G3fOrFigmYRiZXlAml7f5pAurRaOk/x0hDwzDeclNr0qifTsnekXDMLEENjCx8lfM5oIC0dp+x9ODSd263ItYolWqoYm5jfkVNQyjJp/7GIYtrWkELRPRhfKXkbzoQrlAMdE5vJBd0eWa0JDF6JxZUCIInk+TClQOsysgU1QrGScJmb0zo31gYXpBua7U4aEsjJMKxNU3VND47HpyeRspShsaPTxf6pm0uaAcmifdl3vEwbA95WcB7nV4AWm0cH5lNznRe8+vqqJxiCsbX9vQzS+r+sZWltc0MIwsLKvzKrvdkxpL6/qXVjWLK+qPNb1RhTJF33wKJWDNg4DqoYlVtRZPv4Fh2NcnyCulmVTjyy4VaZ/bY4tafNOFVcLRF0bSFp4vW1nXmjxle94X4F57QgQqmEEAcC8z4Bzk0EXjXiRRmF1UqjR6BEEXltW5rK74EkWtZHxuSTW3pHoZyb3uwcphdnFl4yG5Er8MIVc63jWy9KV+8NZ3R3E7J8afwRxW0/CI8SuWGIjtnOiF1bj/HeGUvryuWVrT6CB4fGY9ulDukdRYLRpVa3BTJGM4q6lb3pv5ha66MQvYPVRTsIOI07JzrMu99rwmHr9jXRuRL/NOac5hdRWwuysahxK/5wwg1nPnl9UIgo7P4kD5Zwg54rGP1b33fKv+iqnnSsY/VvcWVvfWyyZGp1fnllUard74ntqyoKNUmy4TPw7ipJS3k6+xR4E15Dzlnn0+rxUA99pNsiYjA8GEdqyMG28pdfUtk4XVPYU1vVXC0QcB1XZO9M+8QUiPh6yD9Pj3WA6z664P29aJbufMwLU6U3TZtYInn/jdgxmaK8lkdL59zw/LkzQoJueWN423+saW8cB4kby4YkVwjuSmV6VvurCI0xdpDJjX2DaZV9m9ZHF+emr/Tw/3IjxGqX3bcXu/5HLHRkChtRAA3MtaSH5r56JxLx0EC9unfdKb7/lXB+dIFL3zGyodVzbumtDgEFgTXSgv5w1EfZBnM7veRPOfhNTGlygKq3u+8Ac+1vQmlbbSYr8tRIbmShI/tb4I576M4KV97iDDXjtG8kZn1jZUuo81va+ieC8juQXsnpV1rV6PaHQwuSiJYdjYzJpH0uaC2qMgjrR73+sIB9OGY+ZeCIp2DS8WsHs+VPXkVXa/ec//M6SWWDoksgbdecdmN48Q9lizi8osRufz8DrHSF7a5/YMRkdSaevLCG5kAR5n0iVeQIiJXHMkEdBo9bnMLnI2wpZGjytWZFd0ktwrsbQNBF8F3ItUGJON7SPDbgaC35a5i1oeBXFosYIMeoeT0c/3TTR/dkm1sq7NYXY9D+cSCuyfKbrrUxWULb7nhy8gkqlOHQJrfNKE8SWK8HxpKXeA1MyVDW0xpy8sH4+n+ldMfXP7dPqXjufh3BcR3OSytpK6PpMFfZO7MLN7ergXimHjs+v94ytm/oan1kCgPjPSPP5DgHtZGfMLxb0wDOsbW34djYfoJP4CMkUc8RhpzWpDo/tl4AYWpG+drRP9/ccWnmw8n93tlyGMKWqhxQrevOdnU17zdk70HFYX0cjT0LrByRVW0zDpI2nrRP/M3yG3LqRHGhSTHkmNd96xX0fzy7gD1GDZVhbz1uaOmXvBCNo2sOCfIUr73G4CLGGefMu7sqJhWAvBGp2+qKaX5E92TvSS2v5HQZybXpXRhfJ7ftWk4Ehbe/LONDo9u3k4OEfyKIjzIKDGN11YxuuvlYw9Ca19GFATmisZmsRjUlzwH+BeOyrA9pHBK6Vpt3xfVPcOGxr9lndlXLHi9jv2iwju5PzGZ/4AVYFzWF1uiQ2pn9td4hvC8qQu8ZtZt43Wn/VRH+RFNb0kz9tQQ/ElCqKFP4M52RWbnxN2Ri/pA48Sp4d7GQyGDHqnX7rIzF/UB/mOkgKFJ4UA4F5WRv5CcS89jDAEQze+W1/Z0OjO8YLgHMkVNyb5Un/gX51FmSyxodGfhNR+qOpubJtK/ISbk/ukCct4A6+iNgmcDY3+V0y9f6bI1okeW6QYnlp9G7OZP4TwDFdpTDPgEmsTYzProo7pvrFlalRrK8t4W3PHz72qRaMhuRKXhC0vnichtXHFChsa3SlW0Dm0yJNP1EnHXhqD15PioBmBfRnB9U5tJnIMEIfIGBPkzaEo1tIz557YGJwjCc2VeCY38eUTKo2+Y3BB3jtHrGmSlS/sBuBeO4p++8hw16eqoXWSnKimnmUS1uSSC8MzuemvmPocZtfiqvp19KYRJz7CxAm+1A+G5UkDMkUfa/rwr7LvXs92zozi2r7X0bz+7/mFDAYDHrEl+JsXZGSBzHHrOPP2PX/7SELtm5ntU8W9kkvbPJKazPyF5EjM3As4dPwIAO5lZcwvFPdCUJQvnyCjeuIxCxIaEj61kvG3bGh0xyjeBzaes5n4s6XR3xttwzni0Za+uSyjlUZhVQ/VQh8PeZArYTYMFdX0RhfKoz7IgrNxdyTyLyBLTI13RRUhYWVyzJYNR8q9MAzT6mCVBiL9BohcjcE5EnJllkDGJb4hvqQ1LE+q6JvPYXbd9KoMyhZ7UsKt2dDogZnioGxxwqfWjzW91NiVZGxVKpg6CG5qm/LPFEUUyBoUk6vreBhb1Ghdd8wIU3t1qrYB99pRHNtHhj9Dak0S+BCB7CE9YhLO94pbxftCea1kbGFFrYXggKxN3x0bGj0kR+KXLrzsWnHZteKub5W0e5YhGHJNaKDFCkpq+wrY3a398+tKLUnyqJGKfdKE79I27e7x1nIlBzYJBdxrR9GDQgsRANzLQqAsrXahuJfBYFjd0AZmiS+74qk/LrtWhOVJGxSTLyO49i4MIhlIUllba//8Le9Ke2fG7Xfs9C8dCSX4dFdMUYu4c7paNMKVjveMLHUPL93w/JYY54Yniycfd4zkZdA7Iz/IfnfHA1zd8MJbsHNm3PBk9Y4sWyqPY6l3dNxLDyNt/fM+ac1OcfVVQtyxgLihdaWOsKW7ScBiTKJSJx2fW1artfrukSXCgcvOif6lfuh3DxxYArqeUTzQkXOcgMgu8PY9386Ys6WA3bNjUmEUxRZWVGW8gdfR/IAsUe+IpVFwjwX4k78I4F67yYA6Mlxxq0j81EpNCjS/rP5Q1WPMNibpHVkq4/VfdTOmsXJmPAurm5rHHXWJlntHlq8bRwZcgb1YPNk4uQSJf6TlS9VavUar/+oasrqhHRxfCcwWvY3hMxuG1pR4ilI9jDIbh68ac2Rddq2ok45vjjNelaPTa7v1f89ywL32hAhUMIMA4F5mwDnIoYvGvVAUW17TfObjqwAp5W1heVKHoJoCdk9scYtrQkNssSI0T+qW2KDonc9ldWcyOn3ShOT01etofmiu9LJLhb0zo6V3tnt4Ke1z+/uP8gJ2D2HsZetEjy6UO0ZyAzKFvaPLGfSOtM/tuFU4jBxENkd2zhFxLxTDWvvnyZAQdk50jniMmP0iXB15svG2gflMRmd8sULS9S15MIpi4s4Zck7rRQQ3u6IrKFscmiupEY9Sbe/snRk1otF3qc2xxQqOZGx9awIWAi2NDi5g95BvuxuerJ6RJTDpRaoS4F4kFNQNPB82jCyuqD/zByPyZezmkbWNb8naDQbDmlKX+GkzevCfIbU82UTa53a3xIbALPGnuv7BiRVSx2AY6RhciC1q8c8UsZqGvVM3o5wQ5gdKo/kBHhVveu1x8LeUDHZO9E91/XoY0epgvnw8qbTNPbExIFNUzhvgyiZSP7dn0DsGxldIhkftvIXbgHtZCBSotiMCZ557Kbf+VCqVVrvvSC07QnOwwovGvQiUEASdXVKS6bEDjKtU7omNXilNgVniwGxxBqNjfkXd0Dr5wH/TvvuWd2VwjsQhEM+JG2DMhKPW6hmCwd89Ns3FnobWRuRLv9QPwggeq53wOT+YaI7urCPiXloIDs+XklSVMKejumXBMDK3pKpXTFQJR0aMgeYJb/PJ+Q0qx337ns8RjxWwu/EZr622ye6JjdkVXff9q5+E1vaMLG2HaHpBSY17aefMSPvcfuBlmu3tn/USwL22SxBB0Kn5Da5sXKCYnFtS4UGSv09iEZV7RpaeGFMuErp9zZ3plyH0TG5yiW94GcG94sbMY3VTQ8fBMNrYOumW2OgYyU3/8i0DqQ2NbutE/xpAGF9kVOn6xpZzWfg3hndK8zV3fAB5E81fXtNMLygdI7l3faqc4wSOkbxLLrgCqzR4hlmS3m2/BUtKAPeyBCVQZzcEzjz3er319+bNGxqNFhER0dHRcSIuteeYexHG7DoIj7ZF5PCB9IgOwkN/GgyG5XXN2++hTf0yhB5JjX/4VuUwu1LK27xTmx8FcZLL2riycaoL5O137KyKzr+MdvTBOeKvse9VGqiktu+KawVJOJ6H1XHEYyY5cXfT5pMqtyL3ghFUrdVrIVgHwVodHPlBRkJhQ6O7JjRotPiyI4riRmDLa5rQXMmDgJrb79iuCQ1ksmE9jMh75gKzxH/4VrnEN5TzBgqre5+H10UUyFy3mud7JDX6peMzkU9D63pHd1jJnVlUUt0g7J0ZGfQOwL1ITQPci4SC3BiaXPVKbrrrW3XfvxqPrryiJg8RG72jS9QkQtfcmf4ZIq+UJs/kpjfR/KtuTGPyeHxum3gcID1SIxq968N+GcGtaBiKL1Y8Da17Hl4XW6SIMsb5q2gYosXW3/SufBBQ45chJOwg38bUr6xrj06BAfcyESvY3RcCZ557xcXF/frrr5mZmWw2Oz09/aeffgoICAgKCnJxcRkdHd0XFlapfF65F4KggxMrSWWtMUUtnYOLkDGNGrGr6JuH9IgeRj/zB4lIENc9WFXCkZSyti/1g+5JjX4ZojLuwBtj3IeQXAmRK9CGRn/7nl9Y3eufKXoeVifumEkub4sulHPEY2RWIlsnenZF57pqc7XCKjKyeiNW4V64ZdWyuqJhSNQ5HV/S+v5jS0vvXOfQgr3Lt+SVds4MIjmmRqsXtk9HFsgSSlrLeQMkXKG5UsJpi2DJPNl4fIki/UsHVzpOENwbnix6/RC5iGnvzGALR373YNk60VPK2jZUpq6jeKYmCP5Y00sG+LjhVTlAcSKzOpJnrkHAvUxEpoeR2OIW6gdDLqubjLZFVN5QQSllbeRC9pPQ2obWqfQvHc7xgsAsMUMwNDK9iqLo4qqmmNPnl4EvNQ5MLFeLRsPzZREFUkHLRC6zK4fZVScdfxHBfZfa7Ja46fD7uwcrNFfqEFjzmT+oh/GEj0ekwIB7mYge7O4LgTPPvX777TexWEzec2Nj4/3791dWVgIDAwUCAVl+bBvnjHshKKpUQxqdfnR6jYjbaUOjX3GtaOtfIHe/vsvlPXMYhqm1+raBhbzK7veF8vHZNb58gnzNX3atYAiGUsrbuoYWk0rbnobWRhXKP9b0Pgury2F1dg8vheZKksraHCO5DoE1su65sHzpm2j+l/pBwmD22MR3sAtZhXstrWpcExpqJWNUYGU9c31jy/6ZIteEBp58QofnssM44jHSr/6ya0UZFw+AZOuEr9tOzK0Tk1JaHRxb1HLJhcGVTUR9kN/8nj/gzXs+s3HYPbHhXWqztGs2u6LTMZL3CU/Sol5XardPaGEYtqHSsZpG/oqpD8mVjE6vqTWQUg2RfmQHQ+zcnAW4l4ko1za0D41WBCT9eh3FI0yyyJqEteJXrXOM5EV+kI9MrX2q6yP5vUNgDRFS9V3qN59EWyd6Ymnru9Rme2cGRzJGfo1ccmEo+uY/1vTd8fmW0MLOiR6aK61sGu4eXlRpIGIJ3kSBTRZAyV7tdwNwr/0iBupTETjz3Os///M/Ozo6yFUwmUxmZ2enVCpDQ0P5fD71Vo9n+zxxr6VVTUlt36soXnJ5W3C2mBxM3ZMaTUJCvEttXt3QVjQM/RVT7xQrqGwe2VDp3ClR5olsgPKe2YbWyYBMUWSBzClWYOtEd4oTdAwt1ErG3JMan4TWxhYpogvlQdlipQYiMhQdj9QOeZXDcy8EQdnNIyG5El/jCiAJ9ddveq0OX3/E0/6g+Nru6obWJKyXX4YoIEuUTDg6BNaE5kk6Bxd1EGycJ5D6pAn9MoTUIEnPwupa++c1WjwXk16PbKihsZm1LEbns7A63/Tmlp657QwMMa6Ebqh0fPmEW2LDqyheSW3f0iqetPuC/wD3MlEAS+a9iFOITNh6PTI+u07Vz6tuzI81vbWSMdJfhAgKGJwtCc2VkoHsiWfEz5gbmxhq3kTzS2r73RIbXkZyC6t655fVpEUXocDbFduk8/vaBdxrX3CByiYInHnuFRkZ+erVKzabLRAImEzmo0ePEhISRCKRq6trZ2enyd0ew+654V4IipbU9hHrAn4ZIqc4gb0z41EQ58/g2pAcCZH0w4ZGv+7Jehpa+y61ubltivxy/TorI++do9po49wrT7q2od1QQdkVXX+G1N7wZL2O5rObRyRds3d9q4iR1NaJHpYnDcmVHDjg4TGIePslDs+99DBSWtcfUSAjgSUAeR1tGvtxaVUdmC12ihPc/j6V5ZXS9LGm1y1xM58SLaZ+eGptdUPLkYx5pzb7Z4qSy9qeh9fd8GQ9xkN7d1KXF9eVusTSTaezx0GcHT0ZURQTdkyT8222xhD5YPYLcK/tj8Oe9l4wgurhTVP3gYkV0j/Rhka/5FKR9qX9S/0gmQnehka/71cdlieNL1FQWRoRhDmptC3xU6tbIp5F/tp3Nx1bJ3p+ZbdWB2/vnrVKAPeyFpIXs50zz71WV1czMjJcXFxoNJqbm1tBQcHCwkJ9fT2TyVQqlccv1HPDvZRqiDSyvu9XXVTT+/4j7ubtlyHKruhiN41ccmE4RvLC82W+6cLE0tbKpmFyYcuGRg/OkRRUbcYmsHNmNLdNIwieslmphmQ9c+zmka7hpaVVTdqX9ssU4/rHwRyefMJa6wLHowCH514YhvWMLnmnNhewe0gKa+tEL+MOUKFAEHRidiOD3hFb1JL6ud0pTmDnzKiVjJXzBqiTBLe8KyubRiA9PD67nvip1T9TVFTTl8PsCsmR8GTjSjW+FkMiMzi5QnU6u+rOLKzeTMlCVtPq4OCczblPGxr9dRTvwPlYyGbP+gbgXtslSPg58mQTDa2Ti1vTVKMotrSqYTUNl/EG+sdXCGfG1Q1dXLGCNAO961Ml6ZqR9cwSCbK+zW9liHzThU9CavMqu8kHxM6JXsTpcwjivI7msxqHI/Jldk7fjCNtaPSXEdyW3rmVdS0ZlHh7Vw9TArjXYdAD55557mUwGHQ63czMzNjY2OzsLILgn1NarbasrIzP5yPIcQeCOjfcS6PTkxasdk50vnziZQT3hlfldU/Ws7C6npGlGtFYFqPzURDnmjvz9js2LbYenz75Hn0+IEs8s7CRz+55GcF1TWjgiMfWlVr194UzFMVgBNVo9YKWyZBcCdWx8VUUb3Ju/Ww9mYfnXgaDAYIQSddsMac3n9399j3/VRTva/rw5bUt63pT8xt/xdTf9Kr83YP1PKyO0TDEEY+pNJCka+ZR4LfIRjY0+l3fqlrp+MKK2iul6fY79jV35qMgzoeqHnnPLOEmSYV3bGadJNn4RKYHq5w3AG8NCoB3T4/EFm2xoXZLbDzSeQVqJ0/tNuBeO4oGwzAEQREU/9aiVlhYVjvHCW5548PIywhuW/884bQ7MrWWUtb+JKTWw5i6qk467pXSlE7v8E5tfhhQHZorya7ozKvsfpfaHFfcksvqeh3Nfx3Fy2R0+mXgXroPAmrqFZNZFZ2kgSnuyhNTH/OxJSBTZPIQUftzmG3AvQ6DHjj3PHCvHaWYkpLy6dMnGD7COecdr3tuuBeGYXz5BLHGRIutD8vbEmgq8oN8ZlHpQbHouuTCCMmVPA+rs6HR7V0YfWPLGIbp9MjSqmZlXTMytRZRIPNKaeLKxtUa3NKIyLb7Vww/k9FJZiWyc6IXVvda1yxjRzFZt9Aq3IvIhvR1unF5XbO0qlla05iEIIL0SNrnDmIagPjXN12oVOO5hmYWlUHZYpL4usQLuocXS2r7SLN9GxrdM7lpYWXTAoZEQKuDC6s3PRlfhHNnFlUmr0wipMjw5CrZoJ0zgy+f2F6NbPaCbADuZbmgYQQtqOqhKnBglphQ8jWlrr5l4kN1T0ldX9/osmdyky2NftWN+S61OfVzeyaj42UE95o786s1pLx3jiMZHZxYKazquedXTRhFBGaJl9e1E7Prt74vxNs5M/LZPTe9Kq+5MxmCIerkseUdNl8TcC/z+ICj5hEA3Ms8Pvs+em64Fx5fQAcLO6aDcySf+YNvtma0fRZW1z+2/CBgM1CqrRPdO6UpuawtPF/aNbRILC8av3uxwYmVzXe2E72iYRhGUMJ+6PY79j2/qpK6/sAsMZEld92YCWTfuJ/oCXtyL4JX4ZMAW6cB9tXrdaWOSnZtaPTHQZz5FTWMoMKO6Xx2d+rn9tdRvIgCWQa9wy9D6J7USLrx29DoDwNqxmZ2mFAkPBmrRaO+6cLUzx2zi6rdAuMhCDo8uRpbpAjOkQg7psGkl8FgANzLch1Wa/UmyRkfB3PWlDqNFs6v7L7sWvG7B+uqGzOxtJUagZlw4E0oUfikNZfzBx8Hc+ydGTFFLcNTa7iZY0LDx5peYmUTRdHJuY34EoV7YmMOs8sjGdd/e2dG4qfW3dK/Wt757TWPgXvhn68QvKbUmflbV+HOzyCX9nYBnfISwL2sLKDzxL3IGJ4r69qiml7yRY7bsbJ7RJ3TIbmbKa6vuFUkl7W9/yhvH1wwZsmFZEavxrGZ9bQv7dSPXSLmIYZh47Pr3il4hhBbJzwIdczHlv7xlSMyzrCymLc2Z557oSg6v6IWdkyLO2eWtpq/bG1mjz2NTl/Ow8NJEGDa0uiJn1oXV9Wyntkv9YO5rK50eodvuvBFOPeSC8MjCX/9XHXbzBAQXSjfMWsQcVUERbU62CQO0/YOkfF1z6KYtt/O4UsA97IcQwRFa0SjVAX+aubV0jc3OLFKePiG5EoCs8SZ9I6QnC0DSwG7+0NVj1dK02XXilveld6pzdGF8hrx2NySSqXBmQe1Dxtq6GN1L+m+c8u7srF16ijU9Ri4l8FgMMbfkfpniHb7e/+xZXRmHXAvqg6ciW3AvawspnPGvQwGg1INFVb3JpW2xha1PA2tfRzMiStWZNI7X0fx4vCPUeED/+rn4dzYYoVvuvBBQI2oY2ZpTfP+Y8vjYM4fvlXeqc0fKEb3ZK4PwoRI1DHjkyb8w7eKFitgNg5TE+ZYWTBH2Zx57jU9jy8IPgiofhhQE5orWdwW5tt814z5gPH8AVod3Nw2lVLe/iysziGwJjxfViUcKecNEDh7JDXmVnZdc2c6RvKCc8RxxYr3H1tiixXPw7kPAmpCciWdQ4vALdE81Ac4CriXCWi4HadOv5umrat0ucyuF+F4GL+ALHFcieJZWG1SaduHqh5abP3td+zHwZyoD3K+fCI0T/owoMYxilfA7mlun3r/UX77HftZaF0uq8srpeme365PE4Ji7QMLQdni+/7Vr6P5n2r7yRzeJl095O7xcK+OwUXfNKFHUtNufyE5kuGpNcC9DinN4z8dcC8rY37OuBeKYqLOaVpsfRGnL7msLam0DQ+83jFNBDO8847tltiY+rm9vmXCJ014xa0iKFs8u6iiCwbJr1sbGj3yg8z9ewQEMsctYUKkh5HpBWVr//zo9JoO2nQ7t7JUjrg5M9wLhtH0L5tGWrY0es62MN9meoei6MTsejazM6m01RjmftE9sTGPhU8DBGWLWU3Dd32+heewodHjShRl3P4QY5RaWmz9ZdeKF+HcoGxx4qfWgqqewuqekam1ozB8MdP/c38IcC9SxCiKLa5qPtX1R36QGX1rdkhHgWGYRgfLe+eSylqd4wQ3vCptaPQ7PuzoQvk9v28GDDc8WWzhyOySqmNwcXBiVaOD11W6ntElugCf3E0oUZCT6Ds+TXgabwSdW1a1DywMTa5qv+dAI/tprQ3AvayF5MVs52JxLz6f/x//8R9/N/5cXFwWFxczMjJ+/fXXS5cuVVVV6fV4przW1tabN2/++uuvaWlpRMno6Ohff/31j3/84+XLlysrK+YV5exyLx0Eb6h0JhP4kB75UNVTxOm751dl78y44lrx9j1f2DEdmiuxc6Lf862KLpQnl7flsfD8Hpn0jul5pVIN+WWIyPHRhkZ3CKwZGF/xyxD9FVPPbBgmQtXrIHxI3VDriKihhzGEMi+RYzi6G/eCYXRxRf0nJW2wDY3+LLTO8g/xybmNW96V9s4MO2fGdQ9Wa/9cez/+Te+Z3FQtGhUoJmvEo/ElisdBnOhCuUAx4RBYc8u7MrJARhod2zszbnpVBmSKnobW3fSqHJ/dweTrGCA6r5cA3IuU7PKa1iul6ZILw9aJftWtIpPRuds0tqJvjjSTt6HRL7tWeCY3vYri29Dodk70oGwxVzqu1eF5Y4lhAcOw5XVtYJa4pLZvz6dJB8F43gVjOJsjHVUA9yJFDzYOgMCZ514IgqysrMAwvL6+rlAoRkZGCMLU3d09PDxsYjUcFxcXGRlJwkSn021tbWdnZ6VS6cuXLzs7Ozc2NmxsbLhc7uTk5MOHDzkczsbGRnBwcFpa2traWmxs7AtT3oEAACAASURBVOPHj83HrTiL3EuvR9oHFvwzhS8iuAXsbqO19TfPcNQ4gR9dKLd3Zlx2rQjLl6Z+xte8fNKEwo7pwuqeN+/5LgkNzMbhIk6vRofHXocRtJjTR+VeoXlSIus2HqoeRSE90to3X4jPxPS+fV/vntjY2Dp1FMawpKCPemM790KM81XpX9rD86UR+VvyYSeVtelhi0Kf6PVIwqdWKpK+6UItBGsheF2p6x1Zivogdwis+VjdW8odeB3Nd0tspAuGXBMaArPETrGCq+7fjL0eBtSE5EjuvMPzrkQXys+cG+lRi+8w7QPuRaCHIGiVaPS2UccIjX0eXtc1vLgj+xmbWXeJF5CKfcu7Mjxf9mdw7asoHr1+yDO56WUkr6iml3TLRVC0pXfuMx+f94r8ICdPtKHRE0s3nyZiYPFJb34dzSvj9i+vaXa8+mHETT0XcC8qGmB7vwicee7F5/Pd3d0HBwcjIyNv3Lhhb29fU1OzIwoYhj169CglJaWhoaGlpWV1ddXR0fHTp08Gg0Gv1wcEBJSXl9fU1Ny4cYNgbEVFRa9fv56bm3v27FlXVxdu+aRU/vDDDxMTE9T2pVt/dnZ2ycnJ1AqnfBvDsKHJVZd4AbF6ZetETy1vp8Y9X9vQRhfK7Zzoz8Pq8BCIRlvve75V1CigNzxZ4s5pee+crGd2bln9lb29S23+w7fqplfl2/f8zsFFEgQUwzoGF56F1VFPt3dmiDpmjsIelryudTfUajVV7BwOx97evrS0lLgKhuGLL+H5UlujG0EBu+d1NP+WN/uOD75EO7uoIqqhGKbHHT63BECi9vPrtIFJiqGXEdwNFR4ZdXx23TMJj931JpqfVdFJRpu0d2aU1PYlflIUcXpDciUu8YInIbVRH+RxxYorbhU2NLpHUuNusxHUS4Pt3RAYHx+nij4yMvLatWsLCwu71b8g5XoYKant+92DRRKje37V0u7ZHdUb0iPVotEXEdzrnqz7/tWRBbLP/MHQPGk5b4BswdaJnsPsUmn0ehiBjB+Hr/9/9r77qY0tTfsP+n6amd2qqa2a2dqpqa3dWozjdc454CRyzjmanHOOyjkgIZSzhARCgECAECAQoCy1+Nxqu2kTbIx9wdxBpbJbTffp0+853f30G56nkHkvhUQXzQavJsLNRCLog1cuQIeAbixX4z514Fw4upPyk9lqlEolcuhv3br18OHD33t8z/K9fm8Ln1T7px57hYaG9vb2ikSily9fstlsLBZ7+/btfa3pdrtv3bqVn59fVVWVnJzc2NiI1OEuKSmpq6urr69/9+4dtDuDwbhy5cr8/Pzdu3dNJhO08h//+IdEIkG2f/3Lz1//+tdThL0CgYDd6cVyDOkNgoxGQWL16JUY3LNs+tT8OnyOTpeXJZm7EoMraJc8D9J3gSlcbeK3RWCMAKxSRKELOiRFnZLMRkF6A5jlrZpcnp630UWzuJGpybk1yM0D5Yw7nJ7qAUVRhwTeHWokpY53ijgLZmZmkMN++fLlv/3tbzD2AoCAVLf08LOi8J0UUm6ruHpASeLNLK5sQbwbLo9vesEm1S2pDMsH0Wo4Xd6h4UkYV50LR9ehVVsOj9cHsCRzWU3CjEbB0PAkFKyBn3lJNaPNeM2DNMqjDGpuq6ifMVHUKalDq2IrRi5FY8n8mYPyoOERP1v4igVaWlqQQ//Pf/7z//7v/86wFxAIqA0r8P0hBIVOrecvLG/t63mCtLTx3Km8NnE9RjUxa6WLjF1UXUodHxatCkGhX+YxxFpzH2NCOr5E4E7fSSZlBwVPs5tFafX8tHo+tOB0g7kibo+vakCB3P11AXP1S2rirwzrYf4UFhaGHPqP7+Fn2OswdjvbZl8LnHrs9Ze//MVkMhEIhIiIiMXFRb1eHxoauu+p+nw+pVJpNpu9Xq9YLA4LC/v3f/93Pp8PbVxcXNzQ0NDY2Pj27VtoDY1Gu3bt2sLCAhJ7/dd//ZdMJkO2j3wTEolEp8vvBb6A8maeZdN+i8XdSyWn1PFT6njxVVzD/DocF/N4/QL1Qh9D34zXwCofQZ8KB3reP82iNeE0DVh1Sh0/oXq0ok/RSdG14McsVrsvmHWxvb0NUUO1Escaseo+xkTNoDKy9NPuUCNZzcJTFHb8ut8LCAQU+mVkYsqdZBJVYIS5Ur0+//T8ei99IrmW96FbptQvr286XR4f8CX7l9vj4yrmu6njKXW8Zzn0ok5pD3Xc6fb5/MDY9Ep+u/hhOqWoU4oqGYaBVwgKnVTDgwUJzoWjGzDqJpwmMwjUemkTm1tu5Ow9W/5eC5z5vQ6ymNvj48hMcVXcB2lgEa5qcvkgyhLI7/W+eDi2coQmMjZg1dnNwnaStqJPjiSmf53PLOmWXonBPc+hVw0oXxcw0xsEMeUjFyOx99Mo91PJ5yMxUBQeKpqux3zBa48qYa9tuA7q7RHWn/m9jmC0s10OssCpx14PHjyIj49/+vRpZWXl9PT069ev4+Li9j1bi8XS3t4O/clgMISFhZ0/f76zsxNSJUpKSsLj8cPDw5cvX4Zijq2trdHR0RaLJSwsTKVSbW9v22y2v/zlL19/xz1F+V6BQGBX4sWDNEoffaIJq4mr5FYPKiGaTZ8fmDVvVPUrBpgT7aRPaoNXYnADTD10o0yr59OExrsppEtR2AuR2JuJxEGWvmZQ2U0dhzP3Z80b91LJl6KwF6Owd5JJ5CA5AnyfPR+J2Ve/ed9x/AVX7sr3CgQCti136ef4LKT4u7iy4wPYsLvbSSDp9oVIzOVoXMQH9iBLX4dRjRutsOYPAAQsVkftoCriA7t6UEnmz3RRdWoDmEADAAGx1gyJMP4Wi+uk6ODX/QuRGDR7EtbHDA1HVw0ohoYnX+YyLkVj76eSTUubv6ABT2+XzvK94LGDCgxXbU7j4oZty71XUAjecmnV3kIAXbNtJC14W4j+dN/AsA1wxtjTLBpxdLqoUwr5fd8WsjIbBTcTibiRKei+cS4cHdRvWIVEIQOBwPS8DZbfDv3M4Qwf9KcvnOV7/XST/ks1eOqx1/Ly8tu3b5OSkmZnZ/v7+1+/fn1QKaLNZjt//nxzc7PZbIbCjr29vf/93/+t1WrpdHpYWNjExITX6718+XJfX59Go7l9+/bo6Kjdbi8sLCwoKJidnU1NTUWhUF+fH6cLe0l1SxBbBOQ4eVPALOmSwvQQr/IYk3NrPbTxsHzwjZMpnuuh6oaGJ6PLOMVdUuOijSY0ZjQKWJLZD92yC5FYGAHEVXI7ydrUOr7DBcoHebz+nNYvJIkyGgV00SxxdDqpZjSrWaidXj3V3Ae7sBdEn7Fmc/XSJ8JLhisHlGYw1LjDAKmftb5B6ARcjcM34TStxLGXeYz0BsGEcc3nA7WYkmt5FyLBCse0Bn4bUfuuiJVaz9dNW11uL35k6mocPjQCczESrBHrpo7HVozktor0s9aqfgU0mo8zqaCFa3lhBcxGrCa7WXghEiQEh55VX5/GZ389pAXOsNdhDAVVLEJZB2NTq4k1o++Kh9Fsw4fuHcKI0HAwGVE0Zs5sElQPKNpI2tcFzKRaHnF0+kkW7U4ymOlVh1HntYmYkrn8dnEfY+JDt+xRBrWiX25a2vQDgD/4lljYIQlql81B2mWH6d7RtjnDXkez29lekAVOPfYCScMtFq/Xu7a2plKpxsfHv6LhODk5mZiY+OTJk5ycnJmZmUAggMFgXr9+HRERMTo6Cu04MTERHx8fFhY2ODjo84F1zouLiyUlJc+fP8/JydnY+EaJ/unCXibLZnyQWR4SYcxqFiIzNl4XMEt7PiXXh6DQd1PI2hmrx+t3uLxer39p1Z7eIGgljGE4k2W98sIOSSIofEsJjcA8y6ZV9iv6GfrlNYfasKI2LKfU8b8QzM5n2jZddqfX4fK6fzcCnmO7yPdiL+jQPj8AJQvv6oluZvVBGgUOFF6KwiZWj8Lx3HupZM3UyqhivrxPntEISi0hs+mvxeFVk8vyCUtyLS+5hlfUKU2u5eW1isaNVsiSumlrWD7zTgqpZlCJzFwu65U/zaJFl3HOcu13DceP/DzDXt+0HgCAbmDt9KrBtC7TWc5HYqCZH1/FhRIPzoWD6u+xFSOlPbJe+kQrfqyVMAa/AV6NxXdRx6sHlULN4vqmC8x39PpNls2E6lH4CkqsHoVFSD1eP0Rb882O/eAGZ9jrBw34L777qcdeo6OjWVlZ09PT1dXVDx8+vH///vDw8AkO6inCXsECTz9HZgr/wL6RQAgrYPbSJx5lUOE7Wl6r+Fk2qI0NfS9GYZvxYw6X1wcmJgVMls3E6tEGjLoeo3pfPHwriRhZyinplj3Lppf3ypvxmlHlQmGH5FEG9WUeo6JfkdEogNo5F47uoU18xdHlBwC3x7dvhdQJjuxXDn0Q9jpoF6vNiSSeuJtCKuqQ3EgAOSBCUOgbCYQuii69ASTmfpHLqOxXlPftME2ERmDy28SKCcsgUx9ewr6ZSAwvAUOWsF6Qz+efMq1TBMaCdgnsiQxBoV/k0vPbxPiRqa9Y/qAOn8b1fv9xzKIz7PX1ueEHgKVVe3kQ9+e0ilLrd5j/7qeRoZeKGwmEkm5ZQtXo3RRyWD6zAasp7twhkgiNwGQ1CZNqeM9z6LVDqvVNl98P1prcSd5hFb6TTGJJ5o55Yp9hr68P/dlfv26BU4+9rl692tHRIZFIwsLCiERiT0/PMdSefMWmpwt7BbVa/fq5NaZkTjW5sriyVdghOfcZbNVjVEg32MUobEWfgsCdGmDql6x2k2VzkKVvIYw9zabB+Oxd0XA7SdtLG69Dq0q6ZHBTUI1eTPnIi1x6HVr1MaC2rw0DgcDGlpsmNNYOqdgyE8SnsO+Wv9TK78Vefj8wNrWa1wYmy6NKhptwGqQyZmQpO6PxCz270h7ZvdRPrN+hEZiMBkE7CeStQJpdN2OFa8oCgYDL42shjMEZdSEodFgekyWZgyHaL2VAPwA4g5j+p/QKAAJWmwvPnWrAqgXqRbsTDHz/lJb3NvKHwV5AULYZLgfZe6bfuwbMetx0S3VLzTgN5MSK+MBGOqseplPaSdqqAWVemzi5hgdP5mvxhI9S2TC0Co0AE+ohr/C5cPQQa9Lj9Q9L5+6m7GCvuynkYanpmAt4z7DX906Js+2RFjj12OtPf/rT4uIihUJBoVDz8/MzMzMhISHIMzzm5dOFvSDjBAIBvx+kPB2bWu1nTBR3Sp9m0T4mGykmLMiYYzDlwghmhaNViglLF1XXjNfUoVVwYCsEhb6ZQAxqtNFrhpTIQr8QFDqtnm8wrRtM6xar/aCSxi2Hp3pAeTOReDEKezuZ1Bwk+DnmETzC4b4Xe0EGt9pcE7NrU/NrE0ZrHVoFB1nKeuUPPvNTQEzf0WWc6LJPZaFX4/BotiGnRQTpsUBPrOvxBBJvBq5sgBLOpkzr8Dah4egOsu53RSFHsBvUzw27m8KfyWwSNOE1S6t2ZGLc0dq02lwfE+OuxRMuRWHvpZKHWJMHzbejtY/c64+BvTxev2zcUtwlreiXT86t/RQH0saWu6RLVj2ofJH7yXd+OQbXTtaBEfaa0YxGQWGHJKqc8ziT2kHWwa8WISj0hUhMXMUIXL17NQ5fPaiEy0ciS9l2p9didSCp75JreRar4/dD2MgRh5fPsBdsirOFI1jg1GOv3377raqqKiYmpqSkZGtrKy0t7c2bN0cwxM/a5TRiL+jcx6ZWz0dizqHQbwtZ1YMK09KmedUOlj3iNVB1N0M8OzQ8ieUYXhcwM5qEI4r50h5ZZpMQFmILQaGfZtGKOqU5LSLtjDWpZichIwQFMiVabc6h4ck3haycVtGseWPXLR4AAgLNIjLo+SybLp9Y3sW88LNG6ie2873YCzq03++fXdzIbha9KWRh2IZ+5sTbQlZGo5CnWggv2WH9Ph+BqUer8CNTqOLh1Do+XTT7roiV0SiA+cNCUOhHGVSBZjePpd8PzCzYspqF74uH8dzpTfs++no/0QhHa8rp9sF+kRAU+lUeY/k7tcZ3HdfvB/DcKRh0gtrtRaypedvv9GD+Y2AviXYJdpFeiMQYF2y7rPq9PwEgwJGb7qWSE6pGkXHGnBahbsaaWMML/8BmiGdrhpQhKHR6gwDJ9nc5GteE16DZk++Lh7OahVzlwv20T07foGipHGIktljttWjV0yxaLVplsdqPP0XhDHt976w42x5pgVOPvTQazc2bN1+9eqXRaAYGBu7cuTM1NYU8w2Ne/jWxF1RsOLe0MTFrXdsAEyb8wRJw2Dguj6+gQ3wlBncxEnsjgXAtDp/RKNxyeEij03EVI4UdkoxGQWQpp42khVOI7qaQe+kT1YPKjEbBjQTCxSjsrSRiSbeMJZmrQ6tuJhLaSdoH6ZTLMbircfhXeYzpeVsT9lP0IQSFvpdKnjKtI5+IPj9A5E3DVeKgFy2RyJIedxoHbJPDLxwBewUCgTnzZmodP71BUNwpjasc6SBpLVbH0qo9rnKkizp+Pw2svb8ah3+Zx6gZUqXW8QeYelByOJX8II1SPaAoDKaIXQDHi1jQLjGv2pHGhDsP1UbsgrnwX39wASK8+AqbwNfbDwQC+tm1V3kMON50NQ4/NDyJdODtbQEql1tc2dJOr1qsDij7EN7M7fE1YNXIwo67KSSFfnlf48B7HXnhD4C9XG4fMhQIMie3iw8SnoKyFGbNG/q5tfVNN0QUvNd6Xp9/kKW/Goe/Focn82eeZFLvJJMeZ1Lx3OkLn3PtL0RiCNypV3mMV3mM6kElSFITjb0Whw//wMZyDIXtYoZodsvhMcytP8mkXYnB/RaLf55DnzNvwEPp8wGbDs9BLGJ7e/Vz15xhr59rz3+11k499tre3nY4HGazeXV11Wg0zs3NTU5OnuAoniz2gh5LXp8fvj1Bpti0ezpIurAC5uNMahdFJxozE7hTYq15y+EBAJDanq9eyGsTF7SLc5pFGUF6+rJeud3psTs9OI4hJQgRhobBN1H4MXkxCvuhW4ZhG7qp4wPMyepBZX6bOKUOFIUs7ZF1UHSv8hjd1PE++gRxdHp13WkwrT3/HH2ABHRb8GNIvgPoSQzHGkJQ6JiKkZmF38tj8RMnyRGwl8frF42ZqwaUYE1iMim2ktuM10wv2Dwe39jUai99ohGrrhlSFnVICtol1xMINxIILYSxJpwGqq4fls0RgvlMafX8Bqx6kDXJVc4f80MIAAJrG64R+TxdNDtr3jjC0QNBMnSkp/NyDK6DrIN5faExAgCQpgSGj063j8yfiSxl30oixldxOTKT27OjjwmRnyE9JRmNgiXr/sD0x+fA6cVe0PvYpt2tmlx+U8iEr+sgPe/oQSITG3Z3M07zKo/xMJ2S1yaenFvb1y0NBALa6dWSLml6g6AWrWRKZst65a2EsU6yDlZ5By/w8pFZ88bQ8GTtkKpqQFHaLctpERZ1Sl7k0pNreR1knXnV7gW5nRdLuqXN+DESbxo/YlAZVpxB8pofH74faeEMe/2I9c72PfXYS6FQfGRAffHixfPg5+nTpzExMSc4rieIvQAAMC5u9NDHu6njxsUNr9fndIHa1X4AYIpnf4vFvSti5bWJS7plL/MY1+LwT7JojViNxWpvJ2mfZdNvJ5M6KbqMBgEkVpNSx1tZd/j8AE1oRJUMP0ij5LWKXyJcFBejsGn1/MhSzt0UMpZjaCVqIUVIUGUoHN1G1GY2CnrpEx/fqqGn5vSCDbn7pShsK1G76ynr9vhG5PNxldw7yaSUOr5AvXjQ+/cJDvHeQx8Be7k9PrbMhMzriq/i6ufW5i2bybW8uynkhxmUij5FSZcUeiiiSoZzW0VPMmmQE7Eeo67ok78vHn5TyHpfPFzaI1MZlp1ukBJlb/d+pzVWmzO9QXA/lXwriRhbMaKdXv3eAwUCAavNiSzveJRBHZtehc8iEAg4XV6x1tyE02A5hlWb0+8HVJMryIkUVcYxfOlAdbq8xNHp8A/s+2nk7GaRUr/8dUfa93Ybuf1xYi8AAEsofko6vMfr106v8lULNYPK8GC1ByxdFRqB4cjn9w3h+QGAwp+BExPPodBlPXKYDRhplu3t7bVNV+0QGBPsoOiiyzm3k0l3Ukgx5ZwWwhhUgvMwnVLSJbPanNML66n1/IgP7NohFTJJNLtZOL+8+ZENOLmWVzUAVvs+ywbnf1g+A8M2ON2+XUc85p9n2OuYDf4HO9ypx163b9+Oj4/Pzs6Oi4vr6ur6xz/+AVHVn9Q4nSD2+pih9Syb/lss7mE6hcSbacSqM5sEFP7M8pqjHqPqoU1kNQvL++TI1Ir7aeROsu51AfjWG1/FbSNq69Cq6HJOSjDCReGD6dumpc23wZK6xxnUyn4FfI++nUyCc2AHWXo4oxbCCmF5jGHp3NT8OvyGurHlRg9PwrxWe2OOUOa11wcsrth1M/uEk05qTL953O/FXsFyTlcTTnM5Bgf7G+4mk8Racy1aBa+5GoenCmYKOySxFSPpDQKIyP6TefOZGY2CK8HdUSVgbWlOi6hqQDGzYIP9Q9/s9o9s4PMD/cwJuKshKHRBuwTpxTxk434AMC7YqgeVT7No8VWjgyw9WIz5OTXN4/UTR6eh8Ou1eHxcJde8YoeCWfCh9wamIY/OvGVr3GhdXXfCwlaH7NJ3bXZs2Mvl9onGzIUdEmiUf7AiQapdiihl57eLoWrBlDp+A0b9uoAZWcahCYwHwSmny5vZJAgNRydUjWY2Ce+nkZ9kUj+mve+1GAAERGPmJ5nU8BJ2QfsOYUQICl3SLYv4wE5vFJT1yqPLRxowatm4pbJfEVM+ElXGgYFdCAr9MJ1iMK1V9MtvJhJ3JTi+KWSduBLGGfbaO+5naw5vgVOPvf7f//t/CwsLIyMj5eXla2trHA7n8ePHhz//n77lSWEvr9ef3y6GlK2Lu8BCRejhBLmglPrl6wmEq7H4vDbx9QQC/Ny6FA36riAiiSa8pps2DqdzXYzCSseXHC4vAAALy1sl3bKwfEY/Qz/ImnxTwMxuFlGFRjiyU4dWpTV8ou+CGs9pEcknLAnVo3GVXOm4ZdZsS28UoEAmqsnSHmlem3hvrv1PH4tja/B7sZfL46PwjVlNQlhBBUoJV+gtEA4OQaFvJRE7KbqiDumzbFrNkKqdpEXWk16Lw2c3i24mEs9HYPo/iztBNWJz5m/Q//4Us3wkDU+q3eEFCEGhH6SRbUcVi7TanL308fQGwblw0GnajNNAXo15y2b4h50w9+UYXD9DPyydQ5bFnWxBxrFhrxH5PDId/qN/9Mjj+NGXnFw7+jKXkVg9eikaC12w91LIFX2KcaN1X48XdCyfDxhi6Tny+eRa3vvi4S7qeBdFt+Xw7O2J1+vvpU9cjsGV9oDU8/ANByrHoQmNyALqp9k0rmIez50q7pTC5xiCQoeXsKdM648yqE8yqSl1fOSLyrU4PF00ezyvGXvPDlpzhr0OsszZ+sNY4NRjr7///e9qtVqhUOTm5hqNxsnJyX9NjokthweiwHmUQS3ulGY1CT90yxKrR+8kk8By7nbJ+QjMxShsSh0PyQuF9Hu1EsZQiPK6EBT648soXJzv9fnNK1s0obGbquuhjw8N65EyQRcjMQq95UkWmBJ7JQb3kfFLoluCk2rPR2BIvOmrsXiIMWGAqT/oxfowU/YX3OZ7sdfU/PrrAmZWk/BjqO5qHP5SFPZuCmmQqbduOOsx6uc59Lw2cT9jAk59uxZP2C058Nnvld0s2qVKXtojP4ZA7Q/6vSDXlMmyOW60Lq850OzJa/Hg9IC+r/IY+rm17e1tndEK43sIWVb2K5bXHCVdMpiIpAGrnjVv6IzWheWtvZmOv/dsOR7s5XL7YitHYPuEoNA1Q6pd8Xr4TEF2N7dv1rxhsmwuWe26Geu8ZRNpGduW62kW7XYyKatJeAfBkhX+gb0regu3CS1A+XnwdR0aju6j672+HbEseHvI7xVdzqkdVBZ3foqbQ/0v65WTedMvc3cKLH6LxafV80u6pBy56XU+87dY/KVo7N0U8iBr0jC/1knRZTeLPnTLkIW9Z36v2Aou9P04iFPztso+Bbxm34WsJiE8OmcLv4IFTj32qqqqio6Olkql6enpZWVl8fHx4eHhJ2jZk/J7+fxAL338XDg64gO7E0ywGLmVRIwu55T2yOsx6pQ6Xmg4KOXxLJte1Cl9mbtPvlcD9gsmVbDcqU3s8uwkVZiWNtLq+UWd0qoBRVQppx6jDi8B853vJJPiq7hL1i2BerGoQ1LUKSULZnKavxBwjK0YSfnsJnlXPLy24TrkGH3Ks0aIIR5yx+Pc7Luwlx8A1IblRxnUq3H4nBawsiG5lodhT6oNK8PSuWHpHFVgTG8Q5LSAbi34cRsDDqXsaRaU78IcYk320iZe5oIFYsjkJ6hi/6BE6Z9rkx/J93I4vVi24X3J8IN0MI+wCadB6oo+TKeoDSvb29ur687s5h2a2RsJhBH5vN8P2DbdFIGxelDJFM/y1QvZzWD8KwqKlx1vGtDxYK9Nh/tV/g5YgUoRkdcmcmQ37e4Osi6xerR2SJlWz7+XSg7/MAxGEj9bxucDqgeV58LRCdUgz9ajDOq1OPybQhaJNwO/ayEbhJfdXl9pz44CYwgK/a542GpzesC00p1EQ78fMK/a2TITbmSqBT/WQxuPKGXfTiLdSSZFl3MGmPoW/BicexCCQl+OxiVWj77KYzTh1OIx84duWWajADNswI9MxVWO3E4mJVSNotmGyn7F00/5XsyzfC8YYJ1hL3h+nq6FU4+9Njc3iUSi0WiUyWRZwc/4+PgJjsFJYS8wuXUDTG4t7pKGf9hhhwrLZ5J5Mwww1x70K1yIxLwpZPXQxvEjU2LtElznKNUtsWWm0h45nG8RGoGhi2eRxWvrm67yPvmbQlZxp7Sfob+fRk6rBykSMhsFHPm8eXWrGa+JrRiJLgdFnaPLcUPpswAAIABJREFUP3GBQughupyTWvdJTuRtIctq25/XHjlwgUDA4fJKdUudFB1NaFzfdCHv78gtT3z5kNgLAALrmy6a0NhJ0cEJ5o8zqOkNAhzHEBOEy0+zaJlNwgasGqKQgLHX4wxqJ1nXhNfgOGCdl8PldTi9Cv0yX73YRtQiR40jMx2PoT7VOSq+u84RAAJ81QISWWY2CWPKP/l1zqHQeW3ilaDygc8PKPXLGY2gvNKbQlYvbWLL4QGz5exulnSuCa9hSeaa8WOXoz+lzT3Noin0y8dz+tCsOx7s5fcDHWQdcpR5yoV9T9MPAGT+zIVITGzFSELVDsHeLssYF2yFHZJXeYyKPjmZP0PgTo9Nr7q+Vavh9viQ6tchKPSbQtaIwtRJ0Ul1YH4CVCQxs2CDMN/9NEpSLa+NpE1vEIAIG6tuJY7dTCCk1fNT6/iw6MW9VHJRp/R6PKEFP7Zqc2pnVlWTy2yZCQk34yq58gmLWLuE506d1TnCwCu2gnuGvU78/n+0Dpx67LW9vW23241G49TUlFKpVKlUc3NzR7PFT9nrBLEX9EzCcgzIp9r1eMJHWs5Nu5spnosuH3meA0r6mJbAGAR07wYAEOI4XN56jDq3FfTtP8+ho0qG+xkTVKER6UFZWN6sGlAUdUrfFbFaCWP9TH1UGSe+ittJ0eW0iPoYE3CN0o14AnZkCk7dOB+BwY1MQcRdoeHoXvrEQeES5BC4PX7cyNTjTOqVGNytJGJBm3jV5nS5QS1J5Ga/wvLXsZfX67c7PX4/sL7hym0V3Uoi3k8ltxDGSrtlTzJpMeUjxNFpJEn31Th8I1ZN4E4hqyISqkd7aDrxmBkcuM8WAICAzw9YrPZWovZVHiPiA5s4On2cUtkgQT8AiiLAlYmHGQ63x1c1oIBDV2CuWDqFzJuJrxp9nEkt69mhVg8EwBNcstqV+mWDad0VlF23Oz3DUlNeK0hHdz+NnNsqhqlPrsTguqnj0Ozy+j6Z/TBdOvI2x4O9tre3LVYHcpQPitp/BEBJtbwLkdhgHv0OJSnSMtvb234AsNpcmqmVidk1p8vn84GEf073N4TtwZjj5Aoshh0ajg5Kh0kL2iXJtTz8yJTb4/f6/BUI+dFzKHRpj+xtIQuSeUWzJ89HYiABx5wW0aMMalwltwuMKgrr0KrZRZBQBirnHBqevBq3E4a+k0wSqBd9fiB43/ol7gBn+V5HvmrOdtze3j712ItEIv3Hf/zHn//85z/96U/Qv/+a+V7QbAaAgGzcghRYfJhB5asXAQC8o9m23MtrDujtNhD8OJxehng2pmIEO2J4kkU7H4l5kUsv7pJmNQvf5DNHFCYkSFpec8RWjoTlM+sxatGYuY853koYg9SyQZHBRkHUZ90bKHOcNDodXTYS8YFNEcxML6yn1PHfFw/jOFO2rW8TrAcCgZkFG5zw9DyHjuVMpdbx0+r5Eu3SEerpfter/SDsBQBglWhxlzSqjEMcnR5iTcKFDpejwTRk7czq2gb4CITV60JQ6PMRmJRaXjd1HBPUDnqaRSvukg4w9Tzlwr5PXJDu0utfXXdCMsPfBYN+V7Mc1LjPD/QxwERs2Kv3vmR4bmlz0+6xWB1OlxeEcp/xJVT9Ck3XQCCw5fAQgvwRqfV8wuj0gzTK02xaeoMAcuveSiJSBEavz79g2frQI4soZQ+xJtc3XcjWDurV0dYfG/Y65Ch7ff7KAcX54PWIDEZDlkEmp8MmDdKl+viqxeQ6XlazUDu9itxsl1l8PlB5DLqWe+kTAs1ibqvodQGzZlDZz9SbLJu2TdejzC+S61/lMbKahI8zqRkNgvAP7BGFKalmNKZ8ZFg6Z7JsbtrdqzbHnGUTcptBI+UHAFCx8bOGaQgK/TKPgSQf2dWrE/l5hr1OxOx/mIOeeuz1t7/9raamxmQymT9/lpeXT3B4fm+/V9DTANi23DMLtlXbPvXzdqendkh1I5F4LZ5wI5FY2i3btO9TiASxsBK501BhY1QZJ6fliwyt4i7pLnUXnx+g8o13U0itRO21OHxpjxxZbvZbLK6HNn47iXghEns5GuS5wHIMua2i8l65Msgq7vb47E4wMWTX6EBvuruejoFAQDa+dDsZlMu9HI2jCo1IL5p4zLxr+11tHvPPfbFXIBAwLm7AqeJvClnxVVxYli4Ehb6TTJJPWLa3txdXtuIQmdRXYnC5raJGnCa5lpdcyyvrkSdUjdYOqfYtKDvmMz384XYNK+TBWttwWax2hwvU40OVDF+OwV2IxNxMJGLZhr31Abta2N7ednv9vbQJmOXkWhy+hTB2N4WU1yq+k0y6EoNLq+evbbhMS5uwBvy5cDRkut9pwhwb9tpledA4QRfR3vNaWN56kE55W8gq7ZFdjydciMRc/myZXY1APwOBALKI8no8Ycq0vriyNY/AQ7uO5fb4bFsutWEZDgueC0cXdUrmLZser78gWHANA+uP5CNxldzsZmFcFcjbx5bO0YTG+eWtvbcCZPdsW+68VvFvsfjzEZjr8YRWwthxOnSRPTlo+Qx7HWSZs/WHscCpx17/8z//o1KpDnOqx7PN7429fD5ANbmc2yq6n0aO+0TqvZMOv729DQCBlTVHP1Nf1iPrZ+r3Kp1BZVD6uTWWdK68T/40ixYagTkXDAWGl7BvJBBvJhKjyjimpc1dHEIQ0aVmaqWgXRIagYkuA2nA4Dvs5RgcSzInG7fUoVXd1PF5yxaWY6geVBJ50yNyk3Zm1enazfwJFbsZF2081cK40YpMNwkEAgvLW5AiZHItL76KCx8oBAXmCCODocczsl85yr7Yy+vzt5O0cA3/7WRSfpv4dtJO+nxSDW9heWt7e9vr87Mkc2H5zGtx+DvJpORaHpSkrNQvDw1PFrRLGrBqrmJ+yWr/+uPqKz08zj9BsjPT87ZR5bx+bg0aVpfbO2G0NmLVVQMKqsBoWbVbrI4+hr56QMlXLX5krEBiCGiKamdW+eqFWfMGzCZqXtmCqOagyRAagUmu5VX2K8j8mdohFYZtgPK++xgTSD6O5zn0caMV2f5PtMaJYK9AAEwclE9YZONLVptzV+IXAADzlq1e+gRVYGSIZyv7FQPMyb2bwUZwurwxFWCy3YVI7ItcejNe00XRvSlkvQST3zUra45Nh0c5uSzRmi1WB+wS8/r86OFJpALYs2wa5JqaMFpRJcM3Egi3EonR5SOiscXyXlkLXpPZJKgdUnVRdJGlHNzI1NcJb6FsQjx3urRHxpKaNu1gnh/c519h4Qx7/QqjcHr7cOqxFwaDQaFQPT09WCwWF/zQ6fQTHI8jYy+/H4Ap4A/qP4RIkNq0z3PoasMKnAAE+gY8PrpoNryEfT2BEF7CJvFmkDAFitpg2Ib3xawbCYT3xcNFndLHGdRz4egWwhioAVIvSG8QlPbIV9dBpTy31wff2X1+wO3xudy+NuJYZCnnTSGrtFeeVs+Pq+TGV3HrMeqNLVDfzeP1Qxn6Lo9PqFlMqePdTiK9ymd0UXQbdnAD+Ow8Xj9HZoqtGLmZSHxTyOxn6O1OL/xXr8/PVy0mVI1CMTsk9oos5fxSL8H7Yi+P19+I08COrnModEWfvAmnSQgSfyRUjfJVi1BIFxoUiXappEua0SjIbRXltoiGpXObDo9lzV7Zrwj/AOoKZDcLj4e7Cx6Coy1AMzCqjHMrkfixpADKwp41b5T1gkAfFFCqGGGKZ11uX3BGfVEiBx3R7vT2M/Sv8hm3k0gJVVzIUJA0+AsEN0FoBCa3RaQOKsy4PZ/kE7w+fydFB7HOQnPmSeYnrnwQ0nl8TvfOlD7aCSL3OhHstWZzFXdKH2dSH2VQQSnPFTuySzBHMSTEBFtm1zYAAGoGuD2+Tbs7r010L5WMChLcd1F0sGcxNAIzqpwv75U/zabdD85Ag2kdasfr8w8EFRvhCxO28+yi7UOXLC14Jynrlevn1rooujq0qnZIVdghEagXbyQQBlmTHq/fFRy1XfcZZD/Bu6IHTPFCrvxFls+w1y8yEKe0G6cee+Xn5//9739/8eIF6vMnIyPjBAfjCNgrEAjYNt1k/kxJl5TMn7FtHpgOBQABoWbxbspOCu1vsfhe2k7qOiiJOLeGrHN8U8gam16FwJnX6zeY1rEcw7PsT8yrYKVSATOphocqGS7vlV+Kwt5Po9xPJV+MwraTtFThTB1aJRu3OINBoh7aOERC3U0djykfyW8T00RGumgWytDfy6i+vObIaNwhXL2TTBpg6mH/VjAkZ4sNvnBDt+9HGVTRmBkGZ5BXbNa8oTascGQmmPQVLMAUzcKbneBYw4feF3sFAoGx6VWIN/xiFDa+igs9e8r75JAAIuTO8fuBKdN6K3GsDq3CcgylPbLUev6zbFpKHW/CaO2jT8DVbSEoMHyGrDyFO/DrLMAz8FYSsXZIldbAz2gU8JQLuJGpa4jU6fQGgXkF9Pnt/UDUUEhCzqQann52DRNkGajsV8AGuRqHl09YYK8Y1FQgEJiYXXvyOeXoXDj6Q7dsbdPl8/mnTLZmPGhn1eTK18kU9vbqoDXHj71gNhnoqjmHQjfhNN87K1xur2zcUjOkaiWMTZrW6tDK4i5pM14TBPo7VdJPs2hIg4eg0OV9CviFwWBahzgFIRmxz3YGaoeUl6PBO8m9VPKFSEwbUctVzOe0iHJaRBT+TDdVl9si0hhWOHJTG2lsYvYTMpONW5Cebz8AOF3eXy2zEzkNzrAX0hpny99rgVOPvf7t3/6Nx+NZrda1zx+bzfa9VviJ2x8Be23aPaXdso8PkvMRmKtx+IMytKDXWc3UClK952YikcyfgQMBfj/AEM8i1WqvxeGJo9OQe1+pX44sZQcTk3fSnG8kECBJbCQgA5NbcxnFndILkdg7ySSWeO5lLuNyDC68hF3cJb0Wh3+eQydwp7OahEk1vG7aeHQ552Uuw2L94v1bN7OKhIkXo7CJ1aMJVaPsIAkCAAR4XxINXI4GdZR35f1AST9uj48pnosq40SUsqkCowPhHvuJY3fkpvbFXmAw0etX6pdT6/nxVdyPpOHX4wnng8k3cZXc1SCHwvb29qx5414qOYh6yQNMfWGH5E0hq6xXzhDPotmT7xDi5RAn+IbdfeR+HsOO0Ay8mUisx6gfZ1IvRWMvRGISqkcTqkfhjL0QFPp+KtlgAtlT9348XjBWC9NGQIlxVQOKGwkEKBOuDq0Ky2cm1/Lk4yDw2tuC1+fXGFbSGwTPc+iNWM2CZQsAAjPztvtBO1+MAqe0VLe0d8cjrDl+7LXl9MA1KBD8+liYvLkfufxXToenXLidRLoQiYUmHkM8+66IldUsTKweRbrVU+r4yCBvCAr9OJO68Vm9wOfz66at2S0ipJ03ttywqAbUvdcFzJIu6cUo7MUo7O1k0rB0Tjtt7aKO30oElRuCglG4C5HY20lE6M4QCATsDg9DPJtazy/vk+9NfvjKeR3nn86w13Fa+493rFOPvS5evKhUKsH3I8TnBMfpe7EXyHWkXniYQYHuU6CK2efKxH3PAiKDuByNOxcO5mfEV3Gtth2eUiAQUE4uv8ylQ62dj8BElnJEY+a1DZfT7Utr4N9OAmnukTnyL3MZqsnlDbsLSWIZlOcTE0enUcXD74pYmY3C8xGYy9G4jAbBs2z6hUgMiQdyCMFHQbMNv8Xi2kk65Pv3wvIWsvLxWjwhs0n4MJ0SW8mFBPvGjdY3haCUJPS9k0xiSuYOii8AQVnloMbRTtRyXxMd/8qDsBfUE7fHNza1AosFnQtHP8misaRzK+tOp8sLyQOEgqnK0rDP/JnnwtH57eKaQeWuAoj0BsEvFWzda2poBua2itIbBDDYepJFy24WIeOASPS5qxFQ+l0yiyz8fFvISqvnw63FV3F1M6sHMYvCrXm8/k07GK/a3t52ur35bV+oCiZWj/4USx4/9oIqGeGrJsiz+n1KmnanJ67yiwTKgnbJAGMir1X8II0yyAI1BkIjMKERmJjykaKOL1jp0xsEu/Au0s7b29serz+7ZYcONwSFzmsVI8FiRqNQN7P6ppD5tpCV/qUQGXRn8Hj9g0w9HPe8kUCYt2z9asleH4l/z7AXfK2dLRzBAqcee9XU1Fy8eLGqqqqrq6s7+MHhcEcwxM/a5Xuxl88PciHC1AMhKPSNBAI5KGK9b5eCMsxuqsBY0C7upU+srO/OtHW4vB1k8G3ycjRYLlfZp3gZZH7Cc6cLO8QP0yklXdLcVtHjTOrlaNyDdEoHWedy+7YcHhJv+nkO/Woc/lo84VUeY0RuelvIymkRDTD1ybW80HD0b7H43FbR7WRSbCU3sWaHtjEEhY4u42Q3i0q6pMgnotfnpwmMT4NCQzcTiYk1YOYW5LyBKihdbl8/Q/8oA+zJnWRSSZf08IKAELXVL3JH/jr2CgQCCr0FxrspdbwGjPpNATOqjMORmyCJp4cZ1LR6PjJz+UkmNatJ2EUdD8tnXI8HtTifZdOwHMOvX+3ocHl5qoXEmlH48XkOha4ZVMZWjNxIIP4Wi3ucQaUKjZAWDVj/6AN8IGvbDqS2bblLuqS3ksDSxceZVJCzt5ILs9bdSSYJNSBtyr4XCHIlVBQMMqttunYpL73IpVsPLa6AbHPX8vFjr+3tbajm4Ho84Vo84U0Bc3oepMXyAyBHF9KMu7oK/1xZc+xyckeWsrtp4xTBTGG75F0xq4c2kdsqym8Ti8bM85YtKHH+ahz+VR5DEazMhZuCint2qZXLJyzPssE7yfV4Qlg+E8+dgsPEIPtMIUusNd9LJcdVciNKd+Kb8J3BvGp/V8yCweX5CEwnRbevchGyG8e//IPY6zAjtb29rZpcSa7hIclUdy2fcase/9D/lCOeeuyVuedTUVERvCMAu8r0foq9vtnI92KvQCBgMK0j70Ef9Te+rqoGUSMelEIL0sE7vSD/Fn2iJqgcAt3FQsPR/Qw9lmPoY0zUY9TVg8pW4phYa17fdEE5uVSBMbdVlNcqbidpe2jjkNxNTJCkfpA1eSUGdz4CE1/Fja0YSa7lIR1aoLRIEau0R/7xiYt8IkKpzZqplS7KeNWAsnpAmd8uflfEasRqoPR/qHBSPrE8wNRzlQuHLGWC2OFZkjkM2zButO5K9/nmAP0eG3wTey2vObKDFB6PMqhtJO2FSGxYPjOzSVjYIelngK/4TzJpKXV8JJnkw3RKTovoQfDf9AZBea+8dkhF5u3El3+PE/kpbQJAYHXdSeHPwI6uc+Ho8j45VzFf0C5JrednNQu7qKAGs8/nNy5u4EamCNxp09ImHDoPBAKbdg9HPj/ImhRpzDSBMacFdKSlNQiuxeFT6/kfa2C/+egCgMDiyhaFP0PiTc8s2Ajc6R0sGI5uI2qR3HVHPvETwV6fTk1gJPFmTEubPp9/yeqgCo3E0Wnj4sbX6wehutoGrBrGQ6Hh6Eas+mUuo7JfwRDN5reJ0xoE5X3yIdbkqs3p9wMTxrXKfkVxl3RUMY9kmIOGiaucH2TpVZMrziAtvt8PsCSzBO50Uaf0Q49sWDqHZk8ij4XlTFEFMyl1vHsp5OpBJZzHeS7I1Opy++Ytm0hmstAITBNOs8vZduTx+ok7/iD2AgIBocY8Ip//ynfcaD3DXj9xyH6ppk499nLu+bhcYAyOSCRyuVy/f590kN91AL4Xe0FeepHGnFYvuJNMSqsXiDTmQ95ovD6/w/UFYxZEk+jy+Dxe/8LyZnqDABbuAKkZqriDrEmYyyC1nq+ZWmnGj7WTtMZF2+LyRjdV10nWVQ8qQV9UDMjRld0szGkRiTSLWLbhXdFw5Ad2N3W8uFM6yJqEY0Ch4ehu6vioYmHfIA7kwwA9arH4p1m02iGQVR/54ASAAEyyf5ihgWQE76aQwJf+QqZEu4QEfIdp4adv83Xstb297fMD2unVwg5JRZ/ibSHrbgq5rFf+LJt+PZ4gHjNX9StQJcNV/YodVioUOrdVxJHNp9TxH6SRS3tk+JEpDNuwi3Htp5/Ijzfo8fptW65Bpj67GVRGQpUMP86k5rSKiruk0WWcXvrEuyIw0lTQLllc2QLfOj58pjUpBWlNkB3w+fyz5g0Cd/pVHuNqkH0jPjiBVZPLkKvM7gyWwAEBp9u795Ixr9ijyzm3kkDOlMhSjm56tYsy/rqA+SKHXo9WH5Tpj+zAYZZPBHtBqZ/+IMl7IBBYWrXHVoD6rTcSCOEf2PrZNbBy1unZ2HIhcRhY2PjZUKrJ5aJO6bNs2usCkCp5VDlf2a9IrecXdkgwbEN2s7CiTwHZednqiK/ivsilv8ilR5Zy1JOgzib02bC7qwaUD9IpV+PwL/MYZP4MGH90uKE8xec5dEghQzm5XN4rf5FLf5XHqOpXyMctr/IYH7plGY2Cwg5JO1n3vnj4WTatekA5Z96AlMSacBoYrl2Nw/9qrKrQ6f8g9tre3s5rFSdWj37l20ufOMNen6fbH+3/U4+9DhqQqqqq3t5en+8L7quDNv6J64+AvcB4gR9Y23BNL9jWNlyHCRwAALCwvFU5oEiq5ZH5M5t2sDTS7wc0hpX8dnFui4inXMhrExV3ySr7FdfiP0lzNGDVyDyPC5HYgnZJWD7zEliUROarF3qooHIikhb/cSa1Zkg5s2irR6syG4WQWGR8JZclmWUH6SFQJWzcyBRESIFEVJBJASDAlpngaFEICh1ZyjEugnfYo9nc7wcGWXqYuAGSjj7xMNw3sVcwJBTY2HKbV7Yym4TJtTzI0/muiFXYIXmcQc1tBbO7BlmTafUCCKHOmTe8Xr/V5pxZsC2t2lfXnbBe3tFM93vv5fcDc+aN0h5ZSh2/g6xLqB7NaxW3EseKO6Vvi1iXY3DnUCCPSS9tIiboOlUbVurRaji0FIICCxKRMetZ80ZJlxQZK/wtFo/hGNwe37LV0UIYi6kY6aGN85QLua2i0h4ZMikbVLbplyMbL+mWbTk8c0ubM4s2u9P7s/D6SWEveDR9PqAOrUKeaSdJO2605rdL0hr4bJlpK1ic4XB5OTJTegO/tEc2a96oGlC8ymMUtEuym0F2iQ/d0vhKkPj3UhT2bgpZObls23L7ATAW3EIYQzae3SKCYC50aSOLaaBLe9Phzmz6It+rpEsGOtTbxLmt4kcZ1MIOyfvi4d9i8ZGl7B7a+Pqma8lqN1k2oUGB2PaX1xzBaPuniopfs9rxx7FXVpNwVwBx189uyvgZ9oKn+h9s4Qx7/eQBPQL2QvYAKfSBXI9cDgQC8xaQuhq6J4aGo6GcrXGjFZZaOx+JYUrmLkZhYyu5afX8C5GYa/F4jsyEvFeeC0dHfGBHf9YwBvVu28SZTUJk5OtqHL6foV9dd0DagucjMVC90vMc+saW2+Hyfv0x5vH6W4ljSKh0K4koG7ccGXs5Xd7cVhH8TgxKAaZRlla/qK9E2up4lr+JvZDdmFmwVQ0oIcr+rGbhi1z6hUgsFA4LZtxLVtadyJIFaF94YiCb+nWWIQ0ouPwiNALTStQ24TVIqoiLkVgcQuXzQiSGJjTCu4Sg0M+zaaufC0e8Xn9Oq6ikWwYZCprq5yMwpT2yectm/OdU8XModEodyDB3LpgoOWf+5FLdtLufZX+qOIH2fZpFO0jgAbLt0Yx54thry+FB6n5ejsYOy0ywVUMjMFSBMRAIEEc/KVgEOVQxA0w97LeGiGZgqfsQFLq4SwoFZO1OD0S7CsOvR+kUKCkTurQvfVYxD0GhoUvbYrU/yqCeA5laMdDt6FUeI7tZdCESA/XqWTYt6zM4g1vba3y/H9hyeH4WFcje9n98zanDXoe86/7I5fDjVv3XaeEMe/3ksf4R7AXlT+hmVrXTq7YgT+m+nYPYI2HC9BAU+nUB0zC/jiwOD0GhIVf2vRRyea+8sEPSRtQGKSF2cuQvRoF+L/jpCPlgMhrBynz4Vvsqn6HUL3u9/k6K9k0hK7tZWNmv6CBruyi6JevWwvLmvrpGcLehKk7k4zO+atRk+SLmCG98mAW/HyCOTiPPPb9NjGRkPUwjP32b78Jefj8wObeWVAMKHmc0CJrxGkh05W4KKTQCs5fBC/Jorqw7VYblyc808T/9FH6wQY/XXzWggKcNmAJYPNxC0OQj5GXS6vkw0Ie2TK7lwY7Ycyh0HVrt9oKOapDxbsv1uoAJ5hd+hlkhKPS1eAJFYKQKjcgZ9SCNktEouBZHOB9MDIJAg88HNOE1yID7vob1+YHlNYdy8uiGPXHs5fMDHWQtfKbFndJ0BKke5GletTkiPnyR1Z5Sx4drD8+h0GU9MuRVH13GgfK6QOVN+gTceAgKXdIlgywMXdrwG2AICg1d2i6Pr6pfEV7CzmkRgbKwhaw6tLq4S5rTIspuFr0rYlUNKF/lMaAJALf2g9PvRHY/XdirqEPi8flNS5uz5o2vfOeWNrecv5yEwImM7+990DPs9ZMt/CPYa23DVdWveJZNe5pF+5ghYbE69u2cx+uvx6iRzqSnWTTdzGokQso6BIUOLwGpvG4lEjtIWizHEFbAfJRBbSdpYypGbicRH2dQS7qlbUQtFBA8F46GCJniKrn1GNWbQta1OPybQhaGbYDuwrNm28ccnadZtEdggEzUR59owKjZsrle2rhuetV/cNHZlsPTjNM8y6ZDUkUcmembEQQ/ABLoHxQVsm26y3vlT7Jot5NI8VVcjWHloC33td7vsfJ7sZfDCVYCfuiRfaSjfFPABKneK7mlPbLsZuGE0bqrh0AgMDm3ltcG1qiGFTA7SLp9/Te79jrmny6Pr7DjCxKHl7mMClDNRp9Sx7+XSn6QRumlTyApRUJQ6LhKbg9tPKKUHVfJzW8TLyx/yvdyuLyk0elmPKjVWNoje188fDORCIVirTYnnjuFZLC7k0zKbBJeTyCERmAq+hRuz6cUz5U1R3az8EEa5X4aOaNRsBDkKfD5AI/X7waz/AE/ENBOr2a3iO6nHd2wJ469PpKJq4n6AAAgAElEQVQdrK47c1vB6XEvlYweNiTX8pAgOCyfubS6hcxeD0GhU+v49WhVxAd2xAd2aj2fKZ69God/kUt/lk2/FIXFj0zBVC9WmxN6Q7ubQk6p5U0Yd1jZthyeDrLuZS5j16WtNqxkNgkfZVCfZtEK2iVj09acFrCw+kkWLa9VrJpceZJF3dvaMc/YHz/c6cJepd0y25Y7t1WcUsf/yjerWaSZWv1x45y18E0LnGGvb5ro+zY4MvbaTVcdjm4naZGpsnA/gEBANbkMEyAFi8gU61tupmQOLhoKjcD0MSbuppCjy0cUesuqzamcXGZJ5saN1gmjlSY0YtmGdpI2pQ7Mrs1sBMvospuF58LR6Q38WfOGdnqVLprVTq/CtUuDrJ1ipXPh6KoBRVQZp52k7Wfoh4Ynv4IGQKZEp1c+scySzhlM626P/yuub4hBgyY01g6p2LL9RdwgBR6pbokjN82aN3bRE8BWOs6FQ2IvAAhYbS48dwrSZ2SIZ2GnY7ASYrQeo+6lT+wadKfLW9Yjg30Pl2NwTPGBLGjHedbIY0Fk9HAYC5KokmiX9LNriyt2nnKBJZnLbxM34TRwsWFoBIYtN0m0S/2MiS7qeHmvHMsxWG1gvqNUt/Qki5bfJg5mj/HKe+X9jAmJ1mx3egAgMDVvQyEoZ6PLRxKrRy9EYq7G4mXjFhiIQ+WWAvUiX7VoWXP4fP4FyxZPtcCRm5rxGvTwpGlps6JvJyfsaIb9FbAXJH0o1Jh5ygWL1cGW7ohAnAveRvgqU82QCo7Un4/A0MAayensZrDSliWZU+iX69Cq5Fpeaj2/lTC2vuGEBzfog3SLxsxcxcLC8hZyckJ58eCNBXFp+/xAI6KI8lw4upWgff45/nsuHN1J1gk0C3tbg494WhZOI/ZKrePvSinb9TO5hvcxw+y0DMGp7ucZ9vrJw3dk7LXl8MACHdBr68s8xkFZ5B5QKtGcWDP6PIfegFEHs4wDxkVbO1H7rmj4PcjQM57fJipol2inV70+EO4AwWR8kAQIAMyr9qgyztU4/KUo7J0UUh9jomZI+TybXtIlmzCuQWw9yJR/u9ODZMEIQaFf5NI/dMuSaka7KDoSb3plfX8XHWxc6OhfQV3QllsOT/WA8mYiEaLAbsZpDoonAgBIaPTNBuEO/K4Lh8ReVpsrtZ5/LZ5wKQobVcbJbhFdjtkRGLibTCpol7wtZO0a9CWr/fFnhZwQFBrMCeuQIDU6f9dTO3zjLrdvRD4fW8kNy2d2kHUWqx2aSLAygWjM3EnWNuE0bwpYkWUcmsCoNqykBMWw7ySTLkZhr8UTUuv5S6t2SJDxYhT2ZS4jp0VU3ifXzVhhBgqvz6+eXMluET1KpxR3SXEjU3GVYGiSp1zYlR4EHTo4TQILlq3oMk4zfuxeCvlSNPZqHJjrXYdWwaD2aIb9FbAXFKUFgAB0plt2kP8vspQTls9sI2prhpRNOE15n7yyX/EylxFZyhlg6sn8mQdplMvRuN+CvHFCjflxsLT5SizuWTbduLiBHHfIjEHusH1KZHZd2ht2NzJ8GUwm+4JDNSyfsbbpOqg15HF/8eU/JPZKreOrJlcOc1+FPaO/+DD9st079dhrcHDQ6dx5S4MNLZfLx8fHj5/i68jYy+v1I5NjQlDo7OZPJUXwSe1aCOrgfmLuhna/Hk8oaJcUdUgyGgUUwYzTvSNNDd2gHS7vpt3dz5hAPvXDS9ithDG6yOgEc+c9IHc8og7R5wdsW66SIC0qHMtIreenNwiKu6QV/YrMJqH5B7LdvT6/dcO5tuH0eP0CzSLSFfQsmy6fWEZ2ZpcFfpGfh8Fefj+A505diydANryfRslsFCIrQMPymVC5A1RH5vcDm3a3Kyh1HF+1w0J+PhLTSRlHuh9+ESNA3YB4emGctKtvWw7Pyrpjw+52urwOl7eXPoHhGNLq+cE0IEV6g+BmIhE7MkURzNxKIsKT7W0RaypIH4psLUhm4fb6/FBS9tfBqNfn/9AjS28QhJfspD1djsZ9nLpwSv7RDPvrYK9g4QvoF4SudPPqFl00+66YdT4C00XR9dAnMhoFwbi2KKNREF+1k/eZXMtL+jJMWdgh3YVikZbf3t52uX2bDve+o+zx+tMb+PDYhaDQWU1CZLFqdrPI4fLsahD5E5rz+zaO3OzEl/+Q2CujUaCdsXZTx7Obwfy8g75lvfITt/9p78Cpx14PHz68fPlydnb2yMjI/Pz8vjjsOAfpyNhre3vbtLT5LJv+Wyz+SgzuaRbNMLd++J7vdZuF5TPtzp17nNPlpQmMkWXs7BZhSh0ProgEVYzSKT208S6Kji0zpdbzI8vYxNFppwuswzctbTZg1C9y6biRqceZ1N9i8SDvVwaFwJ2OKGUzxXPJtbxHGdRZ8xcvyvt2G+mEgDbw+wGDab2sR/44k5pUM8oQz5J400gfz81EIks69+vfhQ+DvdweXwNWfSkKCz+WCjskKbU8yA12J5lU2a9IqeMb5taBQGBxeauFMPYilxFfxR1VLIzITQ/TQS/F1Tg8qmT412f5gh7/fj/ItL5h9xhM69Pz6/rZtZQ63otcRgthbN6yyVMtxFaMvC9m9TP0ZT1gAl9cJbeTouska3UzYIYQZJm7KaDMJaQlBflig4QdABxb3Hey7VoJOW4/dMsepO2Id12IxKTU8lLr+D9i2F8Be8GX9tsi1iBTb9t0BQIB+YTlbgrpRS79I4tsXCX3aTatpEtW2Cm5m0Lupo0/yaLB87C0RwYDUGhlxAc2VMwI1XlAni3Ii+ly+7iK+fx2cUodb4Cpt1gde30kGsPKk0zalRjQqfY8h85TLTzKoF6JwV2JwT3KoDIlswfpsbo9Pp5yIUgnBk6SxeWtX/m96w+MvRow6l2xyF0/s5qEuy6xs5/fa4FTj70CgYBara6rqwsPD4+Pj6+srGSxWCaT6fiZvSDT/wj2AgDAuLjRS5/opo4bTOvf5dvYmy6GzBwCgABH9ikL5E4yqahDAjtgQlDozCYBLBb0sYb/cSY1NAKkqFjfcpf3yaE0kTsppKp+RWW/orxXzpLMdVN0A0x9Tovoahz+I2EPLK970PyDk294qgXLmgMIhj5Nlk242hxSFMGPTGU1CeGstagyzjcp/g864nGuPwz2AoCAQL0IKwuFoNA5LSKDaR3PnW7AqpniOaFmcWbB5vMDDqcXjIWFf5K5vBqLF2jMSv1yG1GLZhv2qkgd55ke5lignoHbN2600kWzEp2ZxJsJK2C+ymOU9cgh/b7r8YQmnOZ2EgliOUlDMAA/SKe04Me6KLrpeRtuZKqiT45mT6omlw2mNYluiSmZm16wGRc32DKTVLe05ThsQZbfDwyxJqPKOEgBwRsJBCjVqZUwdmTDnjj2Ai9t+U6CV2g4Gs02+AFgccWe3yYu6ZLeTyNDiAoUCW0TYzkGk2Wzol8BB1vfFrKqB3fm27lwdC99wusDKxL0c2sSndlidfBUC8PSuXnLlmpyObNJWIdWNWDURZ0SapBPddes8Pr8E7NrXRRdH0MfZMed+ugmSa7lpdTxyvvkgyz9vooCABCQjVuuxn4iIwzS3KsPQmm7jngiP8+w14mY/Q9z0FOPvaCRsNvtNBrt1atXf/7znx8/fhwfH9/X17exsY8zxuFwtLe3GwwGAABGR0eLiopKS0ulUinEgD8/P19bW1tUVMRkMiEX2tbWVl9fX2FhYWdn574N7poKP4K9IG+B1wdAGVq7Wv7mz89lkvSnWbSqfsUaQq7O4fI24zXPsmnnwtG3k0mNWHXtkCosn3kvlZxcyyvtkf32+Zb3vng4uZZ3KQobXT6im1l9ing/vhKDayNpx2fAVH2WZC6ljvcgnZLdItJ+tc4R6vbeojPLqp0qNMIPhhAUqBeZ3yYeZOkjStm3kkAuctzI98kXAkDA5fHte2f/pvV+ZIPDYK/t7W270zvEmnxbxLqbQvpICCLRLnl9oGfI7fV7vH540E2WTWTGDFS+B2kVfBcc/5Ez+pF9XW4fcXT6ffHwtXjCy1x6XpsYIjg4H4EZZIHaoEk1IJf3hUjshUhMbiuomwT7YC7H4JJreWlBxYWlVXvNoLKbOt6AVReDJOzgxKbwZxpxmqfZtCfBWmDbpvuQXV3fdLURxjrI2pRa3v1UclgBs5c2seUAg3Qer//Ihj1x7PXRP71LXPVd0bDd6fX6AF1QSuEygoLraRZNP7fm9wMzC7bCDpBf5lk2vbgLrHeGKhOfZdOq+pWr6w6n2yfRLqXU8gZZ4CvWw3TKnWRSHRqsgAmW3FJvJ5PiKrkE7tQuDVafH3CCoWDwJubzAXanpxGnLuqUptbxU+v4RZ3SZrzG6d6H8trt8VX0yeH3LjCpNIc+b/lC6uCQY308m/0rY6/cFvFhXJJnVGFfmYqnHnvNz883Nzc/e/bs7t27OTk5w8PDk5OTFArl+fPnQuE+ftGKior//d//ZbPZQqEwLCyMyWQODg7Gxsaq1Wq73f7w4cP6+noqlRoeHj4yMgIAQFNTU0JCApPJTE1NLS8v/4opoT/9IPb6Zvtf2eAzPZhVO70KayOCZUqbbtzIVEzFSG6rqJc+UdmviKviVvQpeKqFPvpEPVqFDMTcTCRmNQlf5TOwnKkhlh5m4glBoS9FYzspOqfbZ161LyxvQVpjy2uOXUq6e3u4L9kST7XwMfaEjDBejyd86JY1YtVZQaHDxOrRtAb+uNG6N6ix9xBQyRVI3NAtayWOmVfsx5nqd0jsBSk+Tc3bFPrlxRW790sBafik9moJN+E0xw8o4f5814LHAz6zkWyfjzKomY3C5zn0eow6v02cUD3aRtKW98kvRWPPR2KyEBlXEP6uHlR2knX6ubUmvCahejS3FUw6gVgqemjjBR2S+KrROrTqZR7jUjSWODp9yJA0VG9rCvLaK/XLk3PrLo/vMFPr66d/4tjL7fHltIpg8Brk2eK6gtKKLo+vmzoOv1aFoNCv8hhT82Amg9PlVegtnRRdTosoLJ95K4kYXsIu7JAMS+fWN1yzixt1aFVGoyAIfHdo0oo7JUi1HygnddX2qc4GAAIr685e+kR+u5gqMG5sgWIbLrcvs0nwvng4O8jv9baIldMignlAkLb1+vyNODVcKgtRxJ04bTKyh7uW/5WxV0mX1O709jH0HSTdQd8uyrhycvnHL7FdZv/D/Dz12OvPf/7zzZs3BwYGLBaL2w1e7dvb2ysrK6WlpTKZbNc48Xi869evv3jxgs1mZ2dnNzQ0AABgt9tLSkpaW1uZTObFixe9Xi8AAO3t7Xl5eW63OzQ0VCQSAQCg1+v/+c9/ejw7GVS7God+niD2gtxmSAJ0AOSodGPYhvtp5HPh6Pup5BbC2OUYXGg4+nwE5n4aGReM8cF0FSEo9ONM8EmJ40xdTyA8z6FX9ClgUoAH6ZT5IEkSfIhDvtbsSzJOExgzm4TZzTsk9W8KWXz1QkL16PkIDEj1HoG5Hk9giGcP83D1+QACd/pKLC40HHM+AvMwnWJeOT6y+0NiL2iGwNbbd/5A+p6DTFBgG3qg3kggwHTtB+3y66zXGFYK2r+IaF+JwaXW8TEcw+NM6vkITGg46OAcYOohl+frfGZRpxQOsD7PobeTtM34sSWr/Vk2vaRbFlfJTawZvRKDI4xOX4vHh0ZgQiMwv8Xih4YNFyIxOS0iG1g0BxzGArDlDzlvD9PmiWOvQCAwObsGE9mfj8DwVYvQbdDt8akNy3BqV2iQGgYqi+EpF16CdPNC+No/h0K/KWRpZ1bnzJs3EkCi2mCS/jiSlLWiT76LHfdBGtn4OdfTanPFV3EvRGLOhaMvR2PrMWpIBUs8tgSR2kP/agz7l9EFAoE58wbM3BYajh5kTu6V6TzMoBzPNv/K2AtiC0tvEOzKA0P+TKwepQlnj2csTuNRTiv28vl8juBHKpVCC/C/+6bbgxf23Ny9e/cMBsObN29oNNr79+8ZDMb29jYAAF1dXfn5+dXV1REREdAo0un0iIgIs9n8t7/9zWKxbG9vu93u//zP/5yamto1zNe//Pz1r3+trKzctc3v9DMQAMMlK+uOqfn1pVV7UK5uYwMUYgMfLm6PjymeiyrjvC8e7qTo/j97b/0cR5Zlj/9Bn43Yn3Y3Yvc7MQszsRuzkpktU1vGNpaYmZmZSszFzMxMUomZsaTi0levnjuVlqFty91tzcqhcFRlVWZl3vcy8+S9554TWyXMapG/KeYij8jnI/HpjdImvDG5TpJSD1SUEmpEZT1qtmK6OKiTeSGKkNEkqxvSR5TxK/t1k/Nb8ys7c8s7UPTrCw8KPvuW92qQ3wXq2D0ajmoaqotV9GlfF3HzsArd6LLKsthMMGa1AL2xuCphdIXANP7xK/WxX19ef0+5+3zQ08bj/aJb8rFNfcnbyclJ9LBfvnz5T3/6U39//5esCyGy3x/YcbinF7dXN48nDkGGZs/NVk6nNUor+3Vom8Iv3P7v/DXIyN7YdtpnNrAUU2GHEl0zvZ9Orx/WF3aq0G4EKfUSy8Ra9YAuuU5MFIx30awRpfz8diVdNoUlmwe5o5PzW9UD2toBPVMxhReMVfRpj9k2xFeLsoPyVDmtchx/bGvH+fscdVtbG3ro//KXv/zv//7vysrKCX8ddqLs7oEpsby+9ynVukAg4PX517b2pxa2kDPd5/PbptaLu9Q5rXKhdm5sdnN1c39j2zm7vMNRTrMU0/ntyqhyPhbwBe0rG3tOtxd2zuZhFVHl/MuxxPPB55ygspcTz7dX9mlTGyS1Q3qhdrZmUH8vjZbTqijqVDXgDFX977kXpNZLNned/kBgz+khCMdg3+7FaMKzXFbtkN48sba7524mGEmi8aTgRYYqmawf1n8KUfn9/tmlncp+4OrNVk47vpjPd8Lgf+HqL168QA/9P/3TP/30009fuO5Hv/Z7+jlCtPSr+l6wz/FXufZwa+mNn8NeiTVn2Oujw/5u4WnFXlqtNvWXf4mJicnJyRkZGcnJyUlJSR+FPmtrazk5OVwud29v79WrVzQa7fXr13w+H2Kvvr6+vLy8ioqK2NhYGBgOh4PBYGZmZv70pz+trwOpca/X++///u82m+1YOKvf//eXv/zloztwbK1vfusHoArQgwKBwOa2U2VZbCObE2pEEaW8JoKxtAd4d+hHVyDwQsgT0POxHmdAHoKDSlH4uCpR1YDukIERXSEMS6Em14mFmtmNrf38diUCle6n0cp7NLNL21iy+ecC9pMcZgPOsLb5EV2PX/hqoO0fOcD9IPvnsFgZXSG4k0K9k0JNqhVPL2xPL2yTReNvS3hvS3hlPZpOqrWNbMpsljbgDIcU+7Cg1DtVMnFM7ArZ7LEXM0vbaAvwcxH4ij7t5/vkj23hq96urq5Wo/4VFBT893//95djL5/Pbx5fy29XPsigR5TxYFfpsR0A3DXXH8Bdg7sBWVDocTy2e8ETB0B/vx+gfKF2LqlOfDuZElMp6GXaGvHGJ7msa/EkwMrq1/LVM/ntygtRRz2eT3KYs8s7Kxt7LMVUF91a2KHKbJFntchrh/QNw/r0RjANphY26oYMT3NZT3NZnVRL9Pu2DS8LOcM8e2EHENMPjcD1MkeOZb98fiBh/1XtkB8e44dLRCJRNerfzz//fOHChZNgr3eEM69/dHqjuAtwsN4Ucwc5o+gmZbgbfj+AOKax1fhq4f10Wk6rXD+6AplqsOYuMy5kNMvuptLiqoRUyUQbySTSzrHk0/XDhqxgHV+km3N7fDt7rp8LgKvPtXgStCEv69EIdLNrm/ts5XRMheBeGq16QNfLtFX1a9W2pap+3fN8dngWI69NobIuZTTJ7qXRbiUBRqbasgS7obvp1pw2+dU4UigGV9ipOnQpeJTN/Dmf3Uoy97GAcG5WcHwr+7WHJzi0yvgwtnCJx+tzuj5pa/GptX6H5e3t7dWof3/729/OsBc60XXs9Rn2+vycPK3Ya3x8vCv4LzIy8uLFi3V1db29vXV1daGhoZmZmR8eM5vNvnr1amZmZk5Ozv/8z//ExsaGhYUNDw+DEo/b3djYWFtbOzg4+PDhQ7guDodLS0vb3t7+61//OjY2dnBwsLy8/B//8R8bG0eWGh/+ysHBwW9ac3R7vCPTG32skWGufWZpxzC6QhVPpDVK0xqBPD28Yr4oYPcybQb7ClpTJwSDe1vCYyunS1D1nSuxxGaiqbQbsJgRpBVbJRyf2xTr5xHcBjXKh3nv6dqDWx0KYEHU5Xb7LJNr/awRinhibXMfij3qRlfup9NuJgLZzIwmoDCkHVlmKabaKWa2clplWaSIJ4S6uR6G7V4qLb1RihaYja0STsxvfQljwLEPRFmR0tXVOJLCvPjd77sfHfGDg4OvqjkeHBysH0O36TRl8B72qe3/nssDgcC+y6sbXelm2OiyyY1t54dhhMxCkW4OSzHLjAtG+ypiDgiNmdtIZuDL3iyjSia0I8ta2zJbOY2ImYVG4GoH9du7Lrp0ErLvkel3N5VaN6QPz2JEl/N7WSPIgN5Po/UybUgdNqiWbs5qATd7uO6rQg4iw+v3BzZ3nEw5QHVq6xKsfP1GMTxJzRFS0BTmxQ6qha2cHuLakcO5EksUaOfQkXe5vZaJ9W66rXpAVz9sgETJQ/fVpXUHLKEe2qQm1wE3occ5zPphQ/WArglv4Cina4f0mc2y9CbZtXhSfrsSOgd00qyhweJvRpOsok9bM6iXmxa0tmXI/SruUqc3Sst7NcNc+7GwN+AMS2sOnnqWKpkcm910B92ZmvDG68GNh2cxgJdUvw4ZuNAIXCfNijzyAV17uvW0kBc/P2fOao5nea/Pz5DPf3pasRdyVFevXhUIBB4PEBH1eDxsNjs8PBz5FHmxsrKiVquVSqVIJLpz5w4Wi21sbHz16tX6+rrdbo+MjGSxWHNzc3/5y18kEsna2lp8fHxfX5/P54uOjq6srNza2mptbX3+/PmvMrh/U+xltK/+nM++Fk+6kUB+W8LT2Jae54G314NebAPs0egKQSfNWtGnzccqk2qP5BOBZU2tqHpAV9SpKu5SP85mRlcIyKKJPtZIHhboRCA3v9vJFL5m1rHnZsimoisEz/LYzUTT5PzW8axDAWcXJR4GsyBy48KzPKBPdjOJElnGX1nfc3t83QwbLDadj8SHJVNfFnDaSKb7QU3t8ExGP2tkZ8+97XC9KOTcTaVlNMtu/KI+GoLBwZ05ls9AxhT9wu8HZJHDG8PTXFZMpZCjnPm82CZ63ZO//lrsZZtaRzf3XYohtJJMnyrEnHz3vmoLHq+PKZt6nA30mW4nU9Ibpetbx3OcwUKS6X467VIM8U0xt7xXeyPxnWZsCAZ3I4Gch1UUtCvJ4onaQR1DNtlOseRhFcM8e1S5AHTSDeqn5re2HS6GfKoBZ0DrblyKISTVil8UcJqJppeFHGRahmBwRZ1KHN+OKeW/KGA34gxdNCv605hKITLim9vOPKzidjLlSiwxPItx2GjyUXL3V4XlU18+CfZyurwD7NGHmYzLMcS7qdT0Rilyzp6LwJV2q53uo35AlWXpWR77ahw4998Uc/tYI+cicPfSaPpRQGeGCiZ3UqjnI/F4wdibYu6NBPK1eNKTXFYHzRKWTE0EnSuynzLoI9Pg6dE8vlrVr6sZ0MFs5eUYYlSFoLhLfSOB3EoyvyhgXw+uXt6rOeYS+zSXJTPOL646QE4xSK7d+UXI/lkeaKfoZY6gK86AMl/MTW+UIYP1uoi753xP8/lTsf3Bl59hrzPsdZIpeuqx1z//8z+bzWYkBDKZ7Pz588jbD1/AmiOfz3c6nbW1tX/961//9re/YbFYpxMIEspkskMw95//+Z/5+fmrq4BpNDc39+bNm//6r/8KDw+fnJz8cIPHlvx22Gvf6clsOrqExVUJc9ve62/KxSp6mLY+pu1JDutiFIGjmkEEVM9H4rmq6YvRoKv/RQGnrEfTQbWUdKlkxvmBoO0jcmV8nMOEpng+P+Dpr27uudxet8dX8r6ufWaL/BhW2NlzpzRIwjMZxV2qjCbZ+Uh8O9Xi9vjossnrCUfY7kU+J7MZfAp/8VUR1za17nJ7M1uApnlGk+w+Sv0S2ZljQf7wLXz0d7q8Kxt7W7suaK7y4dd+oyVfi71ml3felvKQmF9PIBME48fyiL/Rrv7qZudXdtE4+0osEc8fQ++b3x9QWhaRTMatJEpmswzdKvsgnd5KMpd0gxt5QYeSJpnAUsxM+dSLfHZWi7ysR/O6iEsRT+w4XPlYZWazDG3zfC2elNEkC89iYEmmjGY5EqIQDC69Uba161zf2hfr596W8AiCcYRgfg5M7xmYH/X5/FTJBELZDsHgMKX8yS/Lnv5qcD78wjdjr0AgYJtaR5uL30sDnt9hydQQDO58FL6DavX+Qljcc3pS35eeL+lWpzVIXhVxoQBeIBAwT6w9z2cHe4TV6Lgl1YlT6iW3k8EwHQpJzC7vuD2+7BZZUq2YLp0s6lRdDOr93kmhZjbL0hqkOairCqaUn/n+KMRWCbNb5JhS3uovrIND23sochGKwV2JJWLJ5uS69576Mpvl6BmVi1V4PO/8zj+M5ylacoa9zrDXSabrqcdeRUVFYWFhFApFqVQODAyEhoZ2dHScJCInXPfk2Oud/jtEE8EnWrhkZd3xcwEbIc2UdKmf57MfBy2H87DK8EzGiwKOwrzYSjLBJMTjHGYfaySpVpzRJGXKpzKa3zP6eJzNrB7Q1Q0bZpd28rHKq3Gk85H46wnk+mHDh0QTqLkfzHMQLkYT7qbSRqbe1V7hvgUCgeV1R3mfphFvfFHAia0SEoXjjTjDvsuzse2MrxZdjiVeiMLfTCTXD+vflPBCMbiglxzxfjpNapj3+fwjUxv30miwfvqrO3PCMfruq38t9nJ7fAQ+ICZfiMJfjiXGV4vWPsgtffed/NQG4QgixAMlpwwAACAASURBVH/T+Ord1HdqnAAEROIrf2HOwW96vD6yaPw6Klea2iDJapHfTKJcTyDfTAT3+NQG6aUYwt1Uqsy0MMS1vykGBo6DnFFEeyKyjH/IFn9bwoutFNYM6q8nkEEoYogRpbzKft2lGEJZr9pgX7mbSrsYDabcnVSq3LSws+f2eH0DnNGrcaSfMuk4/lhynSSuSshVzSD2WS63txFvgHgCQpDDbJB2ZBmpXCMz9lMB+arl34y9/P6AxDCP1GGhvkZGk+xJDutyDPF5Hnt5/ahRd3ndgfbaCsHg4qtFTSDJZNt3eX1BZ9M9pwdLNrdTLOjORNC5nMmoHdQDA6VmmcK04HR7t3adJd3qVpL5dRE3ukKA44+9LuaGAhMzORgslE95aASOIBh7kE6/FEO4GEW4nUwZ5IxeiSNejyfh+GOIKJrctAgdOS/FEMIzGWrr0t1UYNB5KYZwP51mHl+7nw7G8VI04VAr5Es8ML5qCP6oL59hrzPsdZK5d+qxl8fjqampCQ8PDwsLe/LkSVdX16+WBU8Sr19d94TYy+fzL6/vqSyLevvK9q5rdHrDPLE6tbAtMy5obEsU8UR6o/TnIO81rUECzFj6tM/yWM/z2dUDuqEgOQPPH3v7y9XzaiyxtFujMC/2sWxoqfRQDK64S40pBST3fSeARyTRRHmvhqWYhqo8Hx4m1NzvoAIv5JHpDdiH5fX651d25aYF0/jqxrazEW9EeB7nI/FC7ZzXC7xf1jb3BzmgeQrPH2PIJoOdleKyHk39sKGdYhbq5szjq9u7LtsU8BETaGZx/LHP78yHu/fHLvla7AWY0fseqWGhdlA/yLFDbtwfdQg+P2B5l/aoH2YyYioFBMFYOsqP70YCmaue9fn8ThdQORfrQRudyrKEpuXFVQnV1qUBzmhFr6afPaIwL5aCrIx0kD1KCEpLXI0DluHnI/EdNCvMSL0p4tpnNgTaWTx/jK2Y7mHYUuolFb0ajW25ql9b2q3ma2aHuKPDXHtFL3jbRbcyZZNwOmlHlmFV60IUPrpC0Ig3Ti9uQ1o97PwV6ebuoeBjcp1kfmUXPsugZ+x34YF9M/YKBAJTC1txVUIkR/U0l9XNsOZhFWW9msn5LXSu0eX2lnUfdQpDEhVXNWOf2RiZWuepZyyTa3tOz9rmvsQw306xIKdhCAaXj1ViSnmvi7g0yaTBvjIyvb6162qnWBDyHDIuKXUSknC8jWx+lMWEpf9QDK6ZYORrZqG87SBntAFnALaYZfxOmhXJfLvdXoN9tYlg7KJb55Z33W6veWKthWjqoFqmFrY9QZZqG8mMpVjGZzfRx/VHzfnv8rtn2OsMe51kIp167HVwcLC2tkYikZqbm6lUKuxJPElETrjuCbHX2OxmTqv8fjr9cTazvEczxB2tHzYk1orvpFCf5rJKu9UU8UQvw5bVLMtrU+jtK7GVwrCg6/C5CNwwz95KAtz5FqLpbQnvZiLghA3z7CTReGQZv6oftBo9ymLcT6cDRYl+7dU4ksQwD/m84OYKXLmP+hM/jEMgEPB437VYHhwc+Px+g30lrVF6N5X2LI/FlE+j78chGFxJ15Ejr88HbvA9DFvtkL5+WK8bWa4e0BV0KId59mGuPaKM34g3rm7umSfWcDw7Wzm9tOZAnqo/3JMfbcnXYi+4/8EOwfd6Qv+Q49rYdhZ3qRCHmfBMxiBnNLlOcieF+jyfjSWbdxzufaeHKBjPwypSG6T57cpBziiWYn5VxL2VSImuEFDEEwTBWEQp/0YiOaKUTxSMq61LnTTrAHu0MqgNkd0if5bHCo3AxVYJk+skmBJe3ZC+jWyuHtQVdQHf90HOaE6rPLEG5HJ6GGBFoJ6ax36YSS/sAD9XN6QfmQbtxlAXlBB8wEB+XWVZGuKOinRzs8s7LMU0nj/WiDNGlfMBz6lGLDUsQHL3sRkLD+2EMf9m7AWF3ASa2bgq4e0kyptgTEq71fHVooQaUSPeuLnzXpfDyNR6ZrPsfhrtURazrEfTRbNU9GnayOaIMv7NRPKrIu4Q185Xz+S0yhXmxZJu9aMs5v10WmqDpAlv/DmfQ5VMkMUThZ2qyj6tZXI9rvoI88EsWiPeQBZNdNGsfayRtEZpdos8uU6c3iitHtC9Lub2MGxE4Xh0heB2MuVpLqu8V2scW0W3AviDejeIXDAEwYhVA7h0oJwbThjzH2T1M+x1hr1OMhVPPfaampp6/vz548ePMRjMgwcPnjx5srCwcJKInHDdk2Avj9dX2a9FnoNDI3CDnFG0rNG9VNowz/4sj/Uom9nDAJ38SbXikm51TKXwfBQetqYXdaqKOlX9zJF2igVLNhOFY7AGcSWOGEwSGHqZI4UdqrRGKVk0cRLS69auKw8lqJ3frkSLh4VgcFUDOuTJ2OP1ddGslX3ap7msumF9fLXoTgr1WjzpWS5rmGdPrpNciiFgyebMJsC1v5tKzWiSfUjxPuHQ/Harfxv2+u3256u2PDK9jq5nQcrO5PyW3LRgngDZFL/fb5lY66RZctoUMZWCgnZlO8XSTDDmtCoKOlQk0bjatoTmLb0q4koM82rbUkq9JOyXUa4e1N1MJKfUS4JKKJrH2cyrcaR7abTUBmlqgySxVgwzQGHJ1HaKpZ1iQZtNxVUJa4f0nTQL5D9BxbhgEm7eNrVOFI4/DzagPEin52OVhR2q28kAEcpNCzLjAkyJwYLjsRn7LqX32eeNX43kSbAXBChTC9vSYLgKOpRIqfRSDKGXaTOOre7te+DOe72+hVWH1Ligsi52MyyPs5kVvRp0fTBoB6RLqBbVDukTa8TNBGMbydyIN2ApZp5qhi6bfJ4PGPS3kymxlcJW0pFafQgGl4dVSAzzVMlESbf6QTr9SizxUTazdlCf3668mUg+F4FPqZck1hyxuO6kUEW699owfzVQf39fOMNeZ9jrJLP61GOv58+fZ2VlLS8vr6+vLy0txcTEpKamniQiJ1z3JNhra9f5uogLKbG3go1jrSTT/bQj8k1ynSS+Shgagase0D3PY1+KASSqGwnk6gHdTxl06JiW2iAp7FRV9etuJVEeZ4NH5FtJlDfF3NIeTUyl8EE6fYgLDG6XNz6p3/iFEZic30LfIMOSKViKGSlkXIjC22c2EZLN1q6zrEcTWc5/ksPMbVMgrDXwzF0lHGCPhkbgosoFCCf3YjRhiGv3+fxen3/H4UIw3Bfu2+/8tVONvWaWttGg+dovVB7YrwB1EOwzGxlN0itxQIQTikJ1M2z302jX48lFnSq8YAxN/7oeT6ob1jfiDehRjq0SpjZITOOrCtPC66Ijgd+wFCqU/C3pAgzxi9GEwg5lWY8G7UIYlkIt7FC9LOTsOFxOlzcIB0EJ0Qe857eiyvnI4wrc2t1UQFeH0B+ZgQcHB8dmLJrK9s0T5iTYC/4o5J8d27fQCBx0/ibwx5DJHzzkwI7DhSnlPUinNxOM6PbSq3Gkil5tB9Xyqoh7KYZQFLwIPM1lvShgTy9uHeO/F3WqELuwC1F4vmb2VRFw+0F3urws5KQ3Si+BBh1CYacqLAVEFf5djCY04Y2uvwvK/DcP/Rn2OsNe3zx5Dg4OTj32+sd//Mfp6SPjgvHx8b/97W8nicgJ1z0J9trbd1Mlk9EVgsgyPkEwNsQd5SinsRRLUafqQTr9XARgPd9NpT3NZWU0yS6hLHJfFXHz2hQsxTQwDkqn1w0bYLPS3VRaL8s2zLODGkQ2M79dJdDMmifWVje/QzPg2uY+zLHlYZX3Uqk5rQqhdo4mnUyoERW0K6feJ6y4Pb5+9khYCjW2UhhRxkfzUe6l0vqYI1diibmtime575TGQiPAs/jM4k4H1QLNT8ZmNk9YhYQ3Oce+e2F117EPTJTRN+aTjPupxl5ujw8QqKHTVBQeU8pb2QBWysvrjt09l9K8mNogyW9X8tSzTXhjWDKloF2JpZj72SOFHcq6YT1LMS0zLrwq5FQP6JjyqdpB3csCzgB7JLlecmyU9aPLbo+Xr5lFNyFCUYmSoNdyCAZ3PYFc3qup7NPeDrb7wTv9qyJueqO0hWhUBHemoEMpNy2sb+35fH61del2sOYOvwm3BmfR0xzWMWHeta39+BoRAiA+bOH8hjlwcuwFfxTZNyC7FUvMapEPcu3pjdLoCsEsyk866Ffh42tmOcppomDsVSE32KygS6oVP8lm1gzo8rHKuiE9VTKZUCMO6siMG0ZXRmfW0aAKKM7UABvs6ApBdqt8ZHq9ok/7OIeZ2iC9EguYefDvZiIZ6cLJaJKhAfrNRDJVMvl3w9z6hnE/5LqcYa8z7PVtMweudeqx18WLFykUClSI2NvbGxgYuHfv3kkicsJ1vxl7+f2BQ3lDRHzhfCRerJ/rolvflvCe57Prh4G1bfUAcNt4W8KLqwa+achV8kE6HcezP8xk3EoCbIw+1khkOf92EiWvTWGbXM9AKVO8KeExZFONeENynfibRbD8gYDX69/ccRIE4wk1oqgyPlUy2U4xQ87KyNQGorSEDubo9EZSrTg8k1HY8a6tHe5/RpO0mWgs79MOckZ/yqBDTddLMQRo+43cvx9nM2E7PXqbX/Xa6/WbxlZzWuV3gUeKXDey/L00Hk819gpmttx8zWxxl6qTZl1ac4zPbdYM6N6W8EgiYKFY2a9tJpp+zmc3EYwq61ITwdiAM3BVMziePcgj1Kksi0LdXC5WmVwn6aRZ+ZpZvma2jWRGKmghGFxqg3RhdXd1wzHMsyO9ICEYoFAVbDgYfZzDvJVESagR1Qzqa4f02a3y28nUK7HEnzLotUP6PKyCp569Fk8q6FBCgbqYCgFHOT02uwHtceBcupdGC65ICcXgWkgmRKMBzhOvzy/QzD7NBRJ0t5I+Ll32VTPq4ODge2Evj9fPkE+FZzKiyvltZHNUuSA8i1HQDoDU1MIWsldOl0esn0+sET/MZJR0qXnqmap+XUQZP7dNQZVM9jJH3pZwBZrZsGTqrSRKaY8mt03xMJNR0afNQklFhEbgyns1ibXiTsCF37JMrFX2a3PbFDUDukdZDOSqElEGXJ5uJJDvpFDLujV4PnDkDKq+UfOwis3t38nECTn2H+3FGfY6w14nmZOnHntRqdQ7d+6UlJS0trYWFBSEhYUxmcyTROSE634z9tp3eeKrjx7K76XSeuhWpIR3LgLXzbByVaAjLKdVUTukR2uQpjUC0kxaAxCOL+pUUcQTrSTTAHt0bXNPrJ9DVy1vJpIzmmQtQeHKbxB/h1Qbw9gqSThOk042E4xFQf+Q7BZ5G8mc0Sx7U8I7JOdu7rg+DKPb4xPr52MqBFXBC314FiMsmRpXJWwhmqLK+cCOpkJQ3qt5VcQND94tFOYFtE3QlVhiD8P2zWgpEAjMLu8g2pUhGFDT+V6yT6cde7ncXtvUOkk0LjHML645qgd0oRhcElDjlAazXJZgHVwm0s0VdwEXhAcZ9IwmmUg/l9Uiy26RY8nm2CphZrOstEfzNBd8mtksE2rnclrBjf92MiWijM+UT+3suXsYtp/z2bVDetgL8jSX1UI0jc1tyk0LeVhFYYeKJp3Mb1cCKxvrEkM21UWzCrVzatvS5PxWaoP0ZSGnoEOJwPGrcSSxfp6vno2uENxKojwLKqrntyvvp9OT68R8zczu+4aA0OTUOLbaxxyhST8u2f/hvP38ku+FvRz77kHOaHmvpp1qQYQnQjG4/Hbl6uYe3Ae/P2AcW0WUSy9GE2oHdVX92oxmGfRdNdhXGLKp6gFdZpOstFud1SKHLRSQpXBoWXEnhRqexchulfcwrNkt8rohPUk03kG1PsllxVYKyaKJJrzxaS7rRgL5VSFngD1Kk4CuZI5qZmvHtbfvUVuXu+lWpnz6WB/A50P09/rpGfb6PPZKqhWzFNNfUluAIr1/r/PkU8d16rGX1+tlsVglJSUZGRnV1dUSicTrPRKD/tRh/3bLvxl7OV3eRJQSfWqDNKLsiMgC5aGbCKb4KuEwz87XzHTRra+LuA/S6emNUop4YpAzmlAjgj5rb0t4vUxbVot8dWPvkG6M1r2Ej/txVcKiTvU3mB663F6qZPJFARDTB9JiwR60sh7No2zmtXjS01xWQYcqq0Vun938MMKBQMA+s1HZpy3qVDXjjdktsuIu9RB3NLZSgNxN35bwGnDGkm718rrDOrn2JIeJPIVfjSP1sUa+2R7b5/cLtLN3UJyVW0kUpnzqu9RNTjX28nj9Qu0cppR3I5H8MCiNC6lXSbXiAfYI6IpIpd5OpkSV84XaWSQvG4rBgSYP4HzAqhnU5WMVFX1aZBzhpwrzQv2woaJPS5NOLq051rf2XxZynuezawZ1mc0AtGU2yw4F4da29h37bo11CRbcw34x/Vxc3XUHm+O8XqBwkdkMJgyi6QoNSSv6tDsO99jsJlc9o7evLKw6Btkj2S3yxFrx83w2dC46NhX9wXbd7zLu3zHvNbO0/SQHuE2kNkjQPLnwLIZ95p2Wnsvt7WbYEN+hlwWcok7Vs6BvZngWSG510iwvCznX40kPQXZZmdN6JE4bngVUvsp7tcHHJBNBAFpwbidRgPljNXC8AEK47cqcVkV6ozS7VZ7aIC3uVKktS5s7TqT92e8H7YrI22OB/b/29gx7fR57pdRJ+OpZ0/gaWTRBEo5/6o8hm3J7/x60dr92/p967HVwcLC5uTk0NFRfX0+j0dxu99eG4Pt+/wuxl9fn3w0KRSK/HggENLZl5N4WXy1CdziGYHAJNaLUesm9NBpbOa0fXTGOrWLJ5qJOVVQ5uF6X9x41SIZgcBnNsvhq0QB7dHndkdP67vEXAricVgWmlJ/dIj8fiW8lmV1ur2PfjfB5kf358EUgEBib3UQjwp8y6C1EE1qX/Hk+u27YsLC6++HqPp+fq5q5n0a7mUiBPkg/ZdCLOlXIc3wIBncrkVLYoSrsUDn23TsOd83AkTHckxzW1ML2lzxFffjT0PJIaVmELngQzz1Ip4v07yQ2PrrKly881dhrac0BdclhWG4lglL1vTRadIWgovdIUyqoFKWIqxYm1YkzgWEzFXZyhGBwP+ezsRRzTKUAAcpQ0nNsdnNhdXd+ZXfb4fL5/YeavSn1knyssolgzG6RP0inX40j3U+ni3Tzbo9vfWu/ekCH3kI9zoAUDQOBgH50JbdNgebpwwkMhQwAIvAHZpZ2UuolNxLIMGF8O5nCUc38pljhe+W9ltYdEWW8uCphYYfySiwxrkqU06Z4nM08fL5CxEjdHh+OPwb59VdiiWmNUuTUuxhNSG+Uotse76bScloVCEH+ZiK5olfTRjLntCoym2XHLDGKOlXpQVvYa/Gkq3HEW0mUyzHEsGSKUAuk3b78RPg/9c0z7PUr2KteItDOkUUTyXWShBrxp/6yWuRo76z/O1Po1GMvq9X6/wX/nT9//l/+5V/+9re//eAaE4FAYGPb2UGzPMtjl/ao51d2ETFYn89/6OeTVCuOqRQQheNi/RxC6jofhWfIp85F4pPrxJPzW+0Uy4sCNshDBFlfyXViRDH8F2BBa8AZU+oljn336sZeC9H0NIdV2KnqolvvpFKbiaawFOqtJPLUwhZdNvmmhJfdKj8m5/jhOeD3B4S6OXRr1ZVYYnarHA2erseTCIKjziz0Rvz+gMa6hE5l3UujNeANz/OOnLzDsxhZLXKOcnpr1wUD1ccaeVHAKehQzS7tIIFCb/bLX+843MXBZjoYosP2uq3dj9RGv3yDyDdPNfYyj6+i6eoXoggJ1aLXxaDrDT2yIRjcIRtPY1tKqhVHlPL72SOtJFNK0OgGNDYO6dGxDT4qiHccxx+E7NObVMlkVLkgoUbEkE89zWVdiiHUDxsoovEulOMyHKDH2cxDoyokyD6f3z6z2UGzIi7vNxPJCytHKD8QCKisS0jBLgSDuxBFqBvSu1CuiMjWvteL74W9vD6/dXKtk2qlSiZEurlDjZWXhZxWkkllWdp2vJulbo/POrUG5TxuJ1FyWo+cWK/FAZ9s9Ll5KYaQXAeSfzCYOa1yqLqcUi8xjq2iO5RDMLgXBRzICUNbGhxax1om1r75aed7RfiH3c4Z9voS7EUSjifUiOOqRJ/6y2iSnWGvH3aSf27HLly4UFNT43KBy5PD4UhLS3v58uXnVviNP/t83isQCBxL57wu4s4u7SAXuEAgsO/yrm7uD/NGm4lGunQyDwueUyniiao+bTfDNja7WdylhsWdp3msTpolq0VWO6ivHXwvZ5DTJmcppgSaOafL6/H651d35KaFHoYtv11JFI73Mm2NeMP0wvYQ145Qyq4nkEenN5A9+TBOgUBgdHoDTZR+mMnAks1Is3oIBveqiGsaf090EdmOY98T5ADJbyVRLkYTbiSSiztVM4vbpd3qm4nki9HAsaSsR0MWT/Qxj3hdXh/Il3wXAzgI5gY4oyn1kgHO6PrWPlocEtnPb3hxirBXIBDY3XOPz21OzG85gtpRx/Jet5MpVMkkVzWDpZir+t+bVEUdqtjKd5qc5yLxwzw77Fh8UcAhCsbkpgXo7H45hngvjUYRT+w7vch0gsK8LMU0gpzOR+Jx/LGnOcxGvJEpn2ohmLAUc0kXEKuDmlINOKPLfbSFg4ODQCCwveviaWbzsIoGnBE+t3h9/rXNfevU+vzK7vjcZixKKf4U5b1cbi+ONxZfJcLzx6BGRggGFxqBq+zXzi3vzC3vTMxtrmzscVUz/ayRnFZ5XJWwEW9ATj2Y90Kfm3dTaR1UC5QAbMIB9yHkTM9qlh/Le5V0qyH1vqRLDU/PO6nUbrpt3/mOvxEIBJA4zwUdIZGR/Ybz5e9jlTPsdYa9TjKTT33e69/+7d/QXtparfbSpUsnicgJ1/1V7GWZWHucfURjup5AxvHGkNoK/PU9p4coHH9bwrufTsvHKrro1tQGSTMBSF2bJ9Yiy4FGw4N0+qsi7usiIDndQbXUDunTG6U/ZdDvpFCjKwT1OMPtJEp0uYAhmxRoZhNrRXdTqTTpZHGXOjyLAQVO55a3XxUeKS2di8TXDun3ne+0HD+Mg9fnn1ve6WXaXhZybiSQn+exSrrVVMlEMwF4ON5IADL6VPHER5scDw4Oxuc2Xxdz46qEOa3ypFpxTquCIZva2nVSxRO5bYqkWnFBu7KHYWsmGCfnjxq7PtyNEy7x+fzQAu+E20Gvfoqw1/L6XmWf9nE2E0pxbmw7vV6/zLgQWyW8nUx5ksNqJZp2HECAY3vXheMDmYMH6fS7qbTkekkn7T2zmtdF3NJu9YsCThfdWjesbyWaWgimLrq1tFtd0adNDcqoIpnF3T23wryIKX2PwphQIxpgj+S2KQAFkGB8Vci5k0KNqxZVBm2FWPIpimTCOrnu/AWBAQTg9bvcXvhEcXBw4PH6VZaloLkCFVPKw/HsLPkUpN4jx4Ieqe/++nvlvVY39zpplrphfVazDN0f+jSHRRGPvynh1uMMOa2KPKwiv12Z0STLDHbMtFMt8NSDLLpWkulN0NDicVBFL65a9CCd3kWzrGzswTMdVjOzmuWddGt8NbgmPEinZ7fI+erZ2kG9SDe3vO7gqmZaiSa5aRFCcxgxdJxfF3OHuXbHvue7B/N0bfAMe51hr5PM2NOKvTY2NozBf9HR0VFRUXK5fGxsTC6Xv3z5sri4+CQROeG6v4q9jlHIbySQ8YIjV1rITFJbl9DMpMhyPhQT76bbqvq1TXhjK9GU0yqPrxYVdqjIovHaIf3dVGp8tSinFfQu5WIVd4LykjARVdWvvZ1EeVnAKe/VHLGhI3B06eQrlMrluUh8bpuCKBy3TKx9lP61sLrLkE1Bp5HsVnlxlwrHszcTjHQZEJggCcetk2tO13uJCnQwJ+a3YAXkdjLlWS4rPIuBJVs0tuWf89nAlSiXFZZMjSjjG+yrp45iclqwl9fn76Ae4afQCFwfa8Tr87s9vsn5Lb5mVjuygtxxnW5v7aBOYpivHdRV9muF2rmiLhUsYMH/MSU8mmQyrUFa1KlqIhjLezXddGsryVTQARoVXxRyzkXiScJxyMRSmhdZimk0WRCqTAGs1qMuaFcizCTYlFc9oHuYybiRQH5TzGUrpoN2jf7ZpZ1+9kgX3ToyvQFpXgurDjQtMjyLITUu2GcA9R59LOh5+H1ffy/stbTmyGqWvyzkpNRL0NjrWS7rUNDhdRG3qBP4Pl2KIbwt4WU0yRqGDd10K+RpddOtWS2yqHIBpoRXP6wv69EAOa4S3qUYQggG9zyPfWi3+qqQE4LBpTVKIZgOz2KkNUga8QaCYAxLMRe0KyuDVH2+esY2td5Ft4p0c0iXaCAQOBbne2k0mXHhe6WNv++I/G5bO8Ne3wV7ZbfI911fhOOhJevvNr6/9Q+dVuxFo9H+M/jvX//1X//hH/7hz3/+81//+tc///nP/+///b9r16791lH7zPZ/FXt9WHMcn9vcdx1lm9weXxfdihY5vJNCZcqn+lgjSbXiK7HE++m0HobtcTbzYjThVhKldlCvHVmGPKrwLKD6g9zGQjC4GwnkuqA8Ep4/ltumQLBXCAYXVyXsoB5Z6l6LJ7WQzDcTyeGZDLVl6dgxerw+An8spQ74ilyOBWzcu6nUVpKph2EraFc+zGRElPKX1981wx9bF7517HtaCCZkB+6l0WxT60Pc0WvxJOSOfiuJwlXPnLpr+mnBXjsOF0IAgjF/UcA5pMDDcl6QrR5Axi4QCOhGVp7kMO8EGw+f5DBZimnILwQ9hsGa46NsJpwMeW0Kkmj8eR77ahzpUrDm2Ew0XYklJtWK95wep9trHl8d4IwM8+zHao6PgzXHjKajZE9YChVosP3y8BCCAS6QM0s788u7UJoLON5kMUxjq4FAQDuyjP7mlVhiNx14PAPAFzg6FuSgvvuL74W9Jue3HmTQL0UDghpy/kIhLpjTepTNvJtKzWyWJdeJbyVRMhqlrSTTRzL3SQAAIABJREFU7WRKYbuyekCHND/GVgmLOlTI2xAMsIso69E04Y0/ZdBzWhWIsO2FKHxCjaiqTwuLjLDi38OwvSriDvPs99JoSM3xwzhfiiY0E0wffUL77hH+YTd4hr2+C/Yq7FA63d4uuq0Jb/zMXwvRJDMt/D1Vuk8r9vphT8jPYy94kwty7a3P89gl3RqFaTGrWZZYK9bYluENw7HvJovHIf35ahyxpEst0ABJ8Se/kOWBYFIpH1FMfZLDUlkXDWOrWS1yTCmviWBEZLFuJJDrhw0q61LdkP5JDrOoU91FtyLE6txWRRvZ3M2wvQa64TKWYvqnTDq8JafUS45dWLeAkuoYWqPhfCQ+uwUolDbiDVfjiOej8F1022ek5wOBwNaua5hnf13EzcUqphe3vV6fQDt7D2Wa9CSHpR1ZgTpM2w7XZ7b2Q02A04K93B4fWncgBIMr6FB9ikvn8fpKe97rcyztUhnsK8l1ksigmm5ZL3ABAi2NWYz6YUNhx3tZMWiJU96rXVl3rG7stZLMz/JYrSQTRzkTXSFIrBEz5UCJqm7Y0E4BFXMEgj/PYyfVimHOBm7/VhJFaV4s63n3c3BhRpPM7fHBQjZcEoLB3U6mMuXTv2lj47GJ9w3Yy+P1be44j51fq5t70FDrfjqNKpnMaJK9LuIO8exkEbgUZDTJWkmmfvZIRCk/qVbMUc20EYFOBI4/RpdNofH0uQgcVTIBfZ+A+EsWcEY/F4lPbZCwlNMZzTK0gMWtJEpRpxouuZdKa8IbWfKpO8kA4b0t4f1cwLFMrsNkw7E4X08gk0QTpy4/fWzsTvj2DHt9F+x1yCJ1uX1ZzfJPkfHh8oQaMUk4fsIh+6FWP8Ne33k4fhV7wd8DNoVBBszlGOKNBPKNBPKlaMLY7AZFPBFZzq/o0yZUi+JrRF10K6aUF+x4MifViUMxuDfF3IJ25dMcVlmP5lIM4UUBu6hTxVbOqCxL5b2a8l5tI85Y2Q+eZRNqRN10QJ9KDq4I709virl5WMWNRPKhgqJtcv1pLutZHquXaQNymhHgPnohinAzESgrIt1VcIc9Xp/UOI/WJr0aR2olmoq7VJhSXhfdGlctLO5UHSN7QdM9dB7LB7jznmAJKeDz+Te3naXd7+i9YSnUVqJpc9spNy0m1Ymf5rKa8MZge+PvkcA4yTw4Ldjr4OBgbGbzcTbzSizxahzpSQ5rdmkHHjgYqfdzRY59N3RhR5DN0xwWXzOLpZjZiumaQV14JuN5HquwQzXMsytMi1Bf/no8CXRORBGe5YJGkCGuPbVeUtShuhLMlWY2ywZYIzWD+kHOKEM+FVclfJLDrOzTAkpijeh6POliNOFFsDiObriLrRKOzmxEonwbQzC4p7msHYfb5fYOc0GS5lI0mLdAb33nd9Vb/xLsBWML6eojUxul3WqQgmqTG+2riFaw1+fnKKcfZNAvxxBvJpIbhg1QEc04tlrRq3lZwH4vZRiF56hmehm2jCbZqyIuusM0FINrp1rossmUBmlclXCIa2/AGa7Fk0IxuJeFnKrglQEZ0Mgyfkq95DxAZtImvPFlISeijN8FSplK4IOeTJUaFzxenz8QgHF+mMm4k0K9m0pNa5Sub/2ucT7J6fkbrXuGvc6w10mm1hn2Okn0PrLuF2Kvg4ODfZcnqwVkvLJa5FnNspR6CU06CSsy1+JJtYN6PH8MKdCci8B10qxQOrWiT9tFs6bWSwo6lEWdqsc5zKe5rPJejdQwn94kK+/VDPPsLQQTWTwOpKuH9eh+8ltJlJIu9SFuMwSv+2Ozmz0MG0M2NcgePReBv5dGS64TZ7fI63GGjW3nsQTv8pqDIp54VcS9kUC+n07PapEPcUYhsexcJL6fPcJTv6el5PX551d2Rbo5pWVxx+FGtgZb7VTWJZ56xjy+qrYuDvPs9cMGvmZ2e9dlHl9DsmvBPi/d9ndSgvjIaH2nRacIe3l9fjjofayRqYVtIIoVCEC+Fw9wpJYRvpfH6+um25AacbD+pX0ZpA09ymZylDN4/lgfy1Y7pAccr2DlK75aBLWjslvk1QM6KNTeiDdmNElTG6Q5bfJBzujbEl5YCrUyWOqCICA0AlfUqaJJJrFkS2LQDLSZYMxqkf+USb+RQH5dBPhe+y6AsdA700wwBVFBwLHvkRkXmgkmqmRyc9uJBvrfaXg/t5nPYy/YtmyZWGPKpyyTa1ML21CVAx44poQ3PrcFzwvoGKEdWcaSzTj+2MrG3vjcZlmPJjyL8aqQe3hqoHsYQzAgYgTB2P00WigG14A3xlYCzfqwZEpspZAinkiqBRps2a1gFIZ5dpjHuhxLbAoaUTzMZFxPIP+cz+5m2F4Vch6kA5U+pAsSVJO5o9EVgrQGqUAzC9QE7YAFuLG9TxFPlPVqWoimkwu+fC6mp+SzM+x1hr1OMlXPsNdJoveRdb8ce+05PV10a0KN6G4q7V4aLaVeQhCMQQ+QoP+dBNYgkIfUtyU8SNfIbVOUdKnbyOZGnBF9N2oJ6i1lNMnaKRaqZIIoHMtulRd2qNApBOCP266MrhB00azw1uXx+rxe/9aOq5VoqhvSR5ULwpKp4UDfXL3xvmUbxFIU8URJl6puWM9RTqM1OeOrRce+PzK1kVovuZsKbEzQW9vacVX2aR9lAbeZqHJ+B9VSPaBbADpnAAR00CxorjG0cfxIoH+kRacIe8Gqt8fr83gB6jo4OHi/z5EJ+xzBs4HT00GzFHaonuYyH2YC3TWkBBlVLqgd1L8q5FxPIL8s5ASnDR/PH4OdtnFVwvphw+ti7nXQDMuuG9KDHsYi7o1E8rNcVn4QpSXWitHFr0dZwOWzelDXy7RFlQteFHBwPDt0xRnm2R37ALhv7jjrhw1Pc1mPshiH1bT55SNlLzhz/pAS2Oex177Tg+ePvSriXosnxVQK2shmNDvtZiKZLJpAF9bhgXiDrbhAWPgXW+viLvUxAT/oDAZP7RsJ5LRGaW6boodh42tmSaLx1AbQnXonBfTfNBONT3KYeUGP7co+bW6bvINqycMq0ptkBR3Ksh5NM9EENcOQS01spaCDamkYNkSU8m4mgo7mLpqVp56JKhfcTKI8yTmaJD/SWfh778sZ9jrDXieZc2fY6yTR+8i6X4693B4fWj8pFIOrHtDBdiRgydKlTm+UIlfDEAwOKt2/KuLmtCouRhPKetQFHUr0F14WcnJaFT9l0IW6uYXV3eoB3YUofGKtGG02DFe/EEV4ns/eDQpXen3+rV3XntOztrWPJgOFRuBw/DH0/QwWTTa2nZMLWzNL22W9ajRIysMq0CKWgC3UfUTQQbbm8/kp4gk0mye5ThxfLeoMYkGv1z/IGUV/+rKQM7W4/ZFA/0iLThf2gpELFn/dHq9veX0vtUGCTKSHmXS1bWnf6XG6vMVdqqp+XT3O0EWz5rQBJc8LUfiUekkXzRqFMrx6Wcip6NVU9gNPocuxxLQG6YsC0FUH/x5lMXPbjijeDzMZjXhDHlZxKRp04cG/5/ns7Fb55VgiICzijYdeQG9LeHdTaU9zWaRf0AlMl9qm1s0Taxs7v3d+61PT7TPYyx8IGMZWXxS8Uze9nkAGybyMd5TKEAwuLIXKUkyjTzHkV5bXHWj3pLBkSjvFjKSmzkfiO6iWjCZZUq04rUESbFRUpNZLbEDkbKeVaEJAWwgGl90qjy4X3EujVfXrfs5nn4vAlXarM5vlV2KJF6Lwj7KZXXQrWhQtBIPLaZNrbEtRFe+MCgBdrF4ShxJOC0uh8jWzv3OKEQnOD/LiDHudYa+TTMUz7HWS6H1k3S/HXtsOF/ryCigsOcyiDuW1eFI9ziA1zEv180e69pFA176wU9lOscAyX3gWY5hrR+5eIRhcZrM8oUZ0SAHZ2HbuOFyw8/FmIrlu2FDSrX6czSzsUEKC890UwNhwub07DhddOhVTKczDKm2T6/fTj24MsCN9z3m8+xdybwOBgNSwgDggXYjC29/XZd3Y3m8mmF4WcJDbQFqjdM/p2Xd68rDvtVveS6VV9GrfFHNhemNh1fHgl/sTrLQe45B9JOh/9KLThb1gDulQoimynF/WC6rPlX3aPKzydhLlaS4Lzx9LrhMfCjeoLEv2mfXqAd2DDPr9dHo71VI3pGfKp5LrJTEVgm6GLeYXndUbCeQWohG+vQX01uXXE8jIzLwSS0xtkCKaKVdiiemNUqJwHMkAnYvAVfXr4LlwPQHkZZ/9YnXwPI+9sOpAV6uR6fdHj/m73/8M9vJ6/SThONJDEIrBJdaI0hulyBmRUC1a3dxHjg59RNsOV1z1OxlbGMk+po0imYgo5cVXi6iSyad5rKd5LKpkom7Y8KKAU9qjkRkXNNYlw9jKMSGPnzLodUOGyzGEpFrxs1zgIXEpmjAQJODDLd9IIAlQTp0XovCj0xvWybXyXs3doP/phShCUacK6dEJweAuRhMacAaX+/+iDR8yTGfY6wx7IZPhG16cYa9vCNrnVvly7BXsIzvKDIUEc11C3VwPw8pRTv+czw7PYgxy7Um14qRaMV8zK9LPRVcc2U5nNss4yuk7KdSL0YSL0YSwFCpHOS3Qzi6vO7Z2XZMLW+W/mPGFYnBvS3g06SRPNRNVIXhdzG2nWOwz6x6vfxila59aL0HnP0IwuB7G5/oW3W6v0ryY06qoHdIrLYsrGw6kiGkaW01vlD7JYZb3akp7NJdjicjWfD7/EHcUnTCLrRIm10kacEYoMOv3A5ZY9aAeEuB2HMBc6HMR/wE+O0XYC2aP6ocNsFodVc7H8eyRZfy3JaBhQmFeRFQkzkfiJYYFnnomrloUgsFdiSWShOPIw8C5SDyihPIsl8WSTzUTTCEY3NU4AK3QZkQPMujZrfLbSRR4p3+QTi/r0VQP6Pia2co+LfAYYI+UdKmvxhEvxxLjq0WT81tc1QzswP0orwhS19e39ifmN4HTM+CC/2Ez5DPYy+8PqG1LT4JwBx77q0KO1DDfxxqJqxK2kc0r63sfpo5gdnl5fY8oHL+VRLkQRbgcQ/wpgz46vSE1zLMV04UdqgvRhPOReMATbTmyao2pFEgN8z0MW/n73ampDdLEGnFYCjWr5Ui5o481wpJPtZHNWIqZr561z66L9fPJdZLMZrnBvqowL8RWCuGFIrFWfD4Sn94ojUDp4r7zoff/n7Z6PMNeZ9jrJDefM+x1kuh9ZN0vx14HBwdTC9tR5fybiZRbSZQ3xdwuuvXnfLbEMF/SrYaZg0vRhOgKQUG7so1sIgrHYyoEt5MoNxIByaaVZH6Sw8Lx7Dmt8pR6Se0Q4NSHZzEU5sVuhvVRNmOAM/qmmHs7CWw8qpzP18we3TgjcCTRxCFKe1N8pGt/JZbYSbO8LgZU+jsp1KRa8ermPvoI4T0PAqyDgwOf37/v8mhHlnPbFPfTafE1IoFm1unyjkxvPMpiwJtNaAQuq0UeWyVEb219az+9URqWQr0eT3qex24jmzOaZUtrIL3h9fkRALfv9PyeYgHoI/3a16cLe9mmQH9rUJGBMvS+4BZPNfNzPvv6L4prcVXC0m51/bDhWS4rpV6CpveFYHCYUl5Bu/JRFqNuWC/RzxvtK5Fl/LBkalyVsCIonX8llvgwk1HVr8NSzI+zmVfjSA+CLRo1g/pggx7HOLbq2HdvO1xC7VyQm29fXt8bmVov7VY/zGREVwg4yukPs54ut1ein0+uF99No2W1yDXWZaRb8GsH7uTf/wz2Ai5n+54OquVRFmgsfZTF7KBaHPugcXDP6UGsLHx+oNSPVB73nR6GFEjzJ9SIagf1+e3KbrptYWV3mDd6PhJf0KHMxyrvp9EeZTObCUZ0ovp2EqV6QBdXJSSLJjCl/NvJlJuJQJkWz7c/zwfd0PXDhhuJ4NROrBGDi0yX+kkO61URtxFvpEomuujWwg5l3ZCeIZtC8tnnInDtFMvLQk7toJ4inniez74WT7qXRivt1mztfB8v1JMPwR+1hTPsdYa9TjL3zrDXSaL3kXW/Cnv5fH7tyHJOqyK9UZrTqridTAlLoXYHL4JIqSIEg7ufTgf4Jo02yLHXDgLvoOxW+f10+kWgcAgMs18UcGAm6XIssbhL3UG13E6iAN3F4MW0vFfDlE9lt8ghHoL/Y0r5M0vbiB9cCAZ3PhLfiDNYJ9eJwnG2cmbj/ZYxvz+wtL7HkE9RxBOzSzubO06+ZpalmEKnyp7msrQjy53vC8M+zGSwFFPorXl9fqpkIrNJltMKaL+1Q0BxwOX2zi7tUCUTdOnk0sfyAR+J9Q+z6HRhL/P4KqwApjdJo8rfcXqgDmrNoK6gQ5nVIn9VxD0fhY8o5ee2KZ7lsbJb5G1koHKCnkKvi7iDnNGcNkVum6KfNYLj2fPaFBlNsqxmeWm3umZQj6WYG3GGNpKZKp7oZ41U9msLO1TJQeZQVos8tUF6yMHf2AHttH4/UDHw+fwb287iLiDgDn/oQQZdO7KMTg4FAgHb1DqaG55QI5pe3P6jUl+fx16BQMCxD8yU+lkjCvMirKoj0xZ+qrIs9TJtQt3c9q7L5/MrzItIde9mIrl2SL+2te/Yd0Ou/e1kSm6bonpAhyWbg3VbGjIiNxPJVf3a+mFDWoMkt02R1SyrGdANsEfLezV1Q3q1dUluWiQIxtjKmbnlnepBPdKmAyv7D4J8g/hq0THu15tirsa2tONw7Ts9BvvqMNcu0IJd/aMCjkTvD39xhr3OsNdJJuEZ9jpJ9D6y7ldhr0AgYJ/dSKgR3U+jwVrPjQRyF93KUkxDthbw08XgUuolmFI+4IvUivH8sZ8yAOoKweCuxZNIogm0O+SVINO5vFcDibFX40hFHao0AOzkibXv3TjjqoQ7Dlc75chh5lo8Ceq7en3+DxNOS2uOuKDl381EclQ5qG48zQXaToh5UbDeROph2HqYNrSs9tNc1jF/xj2nJ65KeDeV+jib+TibeS+N9qaYOz63GVUuuBWEjHFVwqU1x0eC+6MuOl3Ya2PHWdYD3KVS6iVIH0YKqDhL76ZSr8aRHmczS3s0j7OZZPEEVL69Gkd8UcAmCsffz4iYXxVxoE56cZcKTrC7qbQHGfQrscTXRdxh7uiTHCYiZ9CIM6Y3Sp/ngRxMeBbjahzxfhqtekCHVpIbmV5/mPkuaQocFGKIWLIZLUPq8frw/DE0nywsmSrQzn44Y3+fyfJ57AX3we8PgGSX/3hhdN/pGeban+SwrsaRfsqgN+AMKxt7dUN6dAfow0zG6MzGntMTVfHOCjMUg3uczWwjmwXa2WOKFVX9urRG6aFQ87kIXHS5oDEoyHw1jnQ3lZbfrpxc2AaK/37/2tY+uigcgsFFlgHJ1hAMLqZC8OGFAiF9+gMBjxfIkvw+sf3Bf+UMe51hr5NM0TPsdZLofWTdr8Veu3vu+mHD+UiQYyjv1RR3qqYXtpfXHSLdXEaz7HE2s7hLXdmvhWmwok7VyNR6I974cz47vlqE443ltytLu9XII2x4FqOyX3s/ndZGNpf3apJqxWXdmuIuVXmvhquaSWuQwCLR+Ui8UDvn9wdW1h09DNvP+ezEGrHCvOj6hK+W1+tvwBmQJ+wQDA66X2cG9xBZfiuJQpVOTi9sI1f20Ahc/bBh3+lFR8rt8RV1vqeBXjukL0E1RYZgcAj9C73iD/v6FGEvaBg6v7zbTDC9LuYKtHPnI/F3UwEZCLGyCQkSBInCcfP42hBnNKpc8KYYWLbjBXYcfyymQvCqiNNFsyK69rD+mNUsQ2YCtLJBp1pjq4RZzTKCcDyj6b0uyLupNHTH3MzSNroOfi2ehOO/53bq8/u5qhmEpx+CwT3KZqqtS38UIPgS7PXReesPBCyTa2hD1Z8y6HzNbDfDejkG8CPh3+ti7uQC0ABjyqYQtb8LUfhgldDSzx4t6FCGZzIym2VDXHtZj+anDPog1345hpDaIHlTzEO2cyeFSpNMbu04XW7v7r77GJE/o0kGGfqXogmDXDtCToAXirMU10dH8Ax7/Z7YK7FGTBFPfMlU/KMewz46ST6z8Ax7fSY43/LRV2EvKLa0tePU2JaKO1UPMxmVfdqZpR2geu9wTS1smcZWE6pFl2OIF4Oy3ZNzW7t7brJooqpfl9ksuxxLjKsSamzLHVTL6yJuZrOsnz1yJ5X6ppjbTDQ+zGSUdKt1o8vddGt6k5SvmU1rkL4s5GApZsCz2XtH1/B4fevbTmjq96kD3t17V/JALuUgNdKteVvCy29XXoomhEYAQfyEGtH6lhOQ5Zd3y3q1UeX8Ya59M1hUOrbl6cXtGwnk85H4c5H4Q+UC3cjKsZZP2PZ4bK0f9u3pwl4wjME55na6PPrRlQYc0DK9hLrl306mFHeqMpul1sl1rnJGoJnV2JblpoW7qdQ8rLKkS52PVXRQzDWDuphK4aVowrkIHEU88W5MI/BX44jH0p/30mjtFEs/Cwj53kx8x7uHma12igXJbLk9vkHO6JVY4rkI3PkoPKaUd4x0eHBwsLnjhP6PoRHAW7qyTwvVUv6Q6fEp7PWr/Zg+n5+nnkHcFWE3Qw/DNrO486KAndksq+jTYkqARVj1gNY8vra75xJo55LrxHlYhWV8LalWlN+uvJlIjijlV/YDmhfwYyWaWkmmtEaJWD/XTjUjtctgnAml3eqcNnlqg8RgX6VKJq7EEc9F4M9H4q8nkIS6uesJ5HOR4O2bIq5lYi27FXxTalhAC8f8IRH+YX/0DHv9ntgruVbCkk8zFdO5bYrsFvmn/kq61NsOYFD74/87w17feYy+AXstrO6ivXoym2Vy40JBu/J+Oj2tUUqTTvaxRlqJJoN9dXZp2+X2bu+6GLKp3DZFL9PWSbO+LuLWDRv6WCOZzbKrcaSHmaCPDDFJjAlS9VuIJqQOCMTi+7RflSrw+vydNAvCwgnBAImgN8XcyzHEzGZZK8lc0K7sY42sbu4j6QeP17e3DyocH42vz+efmNtqwhtrBvUG++q+03PoO4kAu1AMEPFHa05+dCM/zsLTiL2Q6EFFdZ56Bu1/EFspgLRrHG/sbQnvTTF3iDvaTjFTxBO1Q/qKPi1BMJbVLL+fTktvklYP6KLK+Z00SxfdWtKlzmmVd9GtA+wRtE5bVot8ad3hcnstk2toEYQHGXSpcQGZNpACJdDOlXaru+i2lY2PdAL6/YH1rf0hrj0fq6SIJ7Z2/kju0YfYC7qRjs1u6kaXl9bfNf8i0UZeBAIBYJSEkkl7lM2UmxYde25oeRmexSzv1dIkk8WdqtdBPOTz+fednh2He3xug6eexfHs6LRZUHJWnVAtymqWx1YKqwd08cEGVXha3U+nF3Qow5IB6j0fhWcrp7FkS0K1KLVB2kG1cILi9TWD+ia8cWJuy+cD9H+ny4uMC7LbZy+QCJxhr98fe5GE4wk14s84P6Y3yrZ+eB8UOIXOsBdyKn2fF1+LvXw+P1s5jZR7LkYTUhuOGNAhGNzzfHZxl/pFAScPqxjkjBIF4/tOz9Yu0OXqpL5ja12NI6XWSxpwhgH26FDQDwQpT9xOptQO6TObZcgS6IXXTrEgNI4vOfKNLWd5j+ZRNvOnDHphh0pjW3qez76bSktvlJrGVvddR41aX7I1RF3d7fHBNPLiqqOwA2T+wrMY5T2ajVPlFneqsdfBwQE06yztVj/NZd1OpkSW82uH9Cz5VC9zBOp5vi3hFXWqXhUCdldclaifNYIpOapnRZULOmmWp7ms0AhcWY8GSzE/DerXA+PRXNbdVFpao9RgX/H5/TOL27WD+vJeDaaUfyuJ8rKQM8Aedewf15ALUu99nwLucIL5fH6nG7CovnC+/UZf+xB77e65u+m25/nsOynU5DqJyrL0qacIl9vLVc3A5uVXgB5n33EAYj6SrwoFon2ygnZlHlbJUU673F7HvmeAPfqqiPM4h9lBs1T1a9+UAOl5aIJZP6yHlPnQCFxSrbidYoksBw2PT3NZlf3aqn4t0sGa0SRtpwB11qwWec2gfjNoIOb2+Dzed+fjbxSuv6fNnmGvM+x1kvl8hr1OEr2PrPvV2Mvv52tmkTTVzURydoscufiGYHDX40lpDdI7qdTQCFxFnzajSaaxLXNUMzUDuhdBcz0kXZRQI9radcpNC2jt7Dsp1NpBfU6bAo29XhRwOmiWfdd7NKyPHAxqUSAQ2Np16UdX1Lalta39PafHNL6qMC/Or+x6f3GnQX39q1/CZIbGtqwdWd46bV1Upx17wc7TmEpBRpMsr02RVCtOrBX3sUZggupGUJAdEUe9m0rNbJahi2W3kynZLXK4JKVeAoWgLscQ35bwOmlWuXEBThKgNSoaPxT1ja0UptRJ8rDKLrp1d+/I6POrJ80PsMIx7OX3B8T6OXQDSmazbGVj76N7imTI+JpZy+Qa9BI4xrWHjzqhEbh+1si+06MwL8JehLBkas0gyGyl1Evyscq0BmlMpbCyTwt7dC5E4Qs7VJBBD5tPI0r56Y3SxzlMeLmo7NctrjlU1iWDfWXnlA/BR2P7Oyw8w15n2Osk0+wMe50keh9Z92uxVyAQWN3cT2t4Zx90PZ6U0ypH9LGg8UhGk+xWUJrydRE3D6vsY9oq+rTNBGNq/ZEVDDQPcXt8G9vOPKwCAWSxlcKsFjmWYkEeec9F4OqG9Kax1S/hLaKPEGgBBOUA4IpQGuBrN4Le4LHXcINAKPP/b+862JrKtva/mee79869M86MyMygImJHsKAUpSi9QyihQ+hNulTpXUASuoReA6H3TmgBQk0I6TnnI+yZM5ESqQp6zsOjp+z6rp193rP22mt9PVeZu5p0yMsLxL24PMHmFneXSgmCIOryplVI7RNs0TOH4id2hcGZ7dH5ok1zChi8rleFe3zLM4e/DMDVXUq9EkjauH+8G+js2HqDiEPvK0fEHee6xjYBxwpCkdKL4ZPUah1WtxNdm6TqXGIXUb9X6XVIzM9Jsl3ci8M7eMkEAAAgAElEQVTlvyP0iiOg5V4+NLUqobXAbZ5wZ8zzBcIc4rC4rb1ZULV3Esk5uqmwbnydwU4vGwRPX7iWvq8c3jbeemJXKBIZthATWltQMwp2PSvZEHyTW00Dqx/ZEnaeFqk5l3gmkEDECFEUipn1i/tzkwDml3yEci+Ue51kvKHc6yTo7ZN3F/eCIFF86JV11hqdjXgl3ZVNtN9wbSu5eMB8x2Pq2MxaaJYoVCIwYMfukCfApXbc9rTWdcz2jtEC08gfSVPPHIqBhey2Q9SJuY11Bpu2xpynbSKlUagbJY0T/qmtrf0LQent2Ij6/OrR8dk1LvcISq9dDUYvdyFwrriX+JADPt8BaWZuccdm1jI+DtqE1b2vHFn5NJoNCCfwJqPdMrgmt2qE2ErR8aooaZpUcRS5P4jO735HENnjPxMZaIv85XolksAQfYItDEonR+R0Bqa3j82sB2d+EqohoVAUrgCCoLmlTfFQUfGEPi1ceVR+z1d0i7pLiMe73MW9BDu+68SVgnYR9fO0f8J+f7aWpdUtY/8qJVuCorXIxcY7Ql8VeRr3rsXIvyqtdLCsefKV58eH1nhdb5Hz5NrO2W0HYKaBVWHZnQ1ds53Di++Jw5jQ2sjc7qGplaSi/qfYnV0LNgSHt43EVopzdGNgOpkyL7Lo+mxL0ASSEUC5F8q9JI8QyU+/I+61tbU1NDREJpP7+/vX10Wffaurq11dXR0dHTMzM3y+iItwudyhoaH29vaxsTEOR7QTUCAQTE9Pd3R09Pb2MhgMyWjCMLyLe61usDI/DpkFVWNCawvrx7f2mLYgBfL5wk0Wl7q8mV0xHFfQE5zZYRtWl1Lcn0McfuX5UW3Hl301eTrmQ88IZVW0LulSauBLTCCItF+RuV0DE8sVJIptRL2Rf2ViUT91eXOTxQW+swU7frR5PAGXJ6AzOSwODzWhRWA/lZNzxb3Eh1xp06TIhbpAODS1GpzR8drzo0NUI/BREo/vE98eyOUKWvuokbmiGFCppQPdo0shWR2OUY25VaNZH4fCsjsMfInWYXVpZYOucc2ZH4eoy5uF9RMBqeSSpsmVdRaTxQN7FbtGlkx2vJ+rOZdgQmuBnzYeX5D5cUjc9B64Sl9YPgIpORVJnXohu7iXaBvmjuL5hWupsn2Rvg+RSKIciV8KhcKlVWZ62dCb9Pb3lSMVJBEJBp9ewJwuII2Me9fyjtBnFlRtFlidWjpIFFnmDVsE15gFVWd+HJpZpBNJFO8kUnbFUHR+j11EfUhmR//EMosjiqaKbCk9dSi+twJR7oVyr5OM+e+Fe/H5/KysLBcXl4CAADc3t4SEhJmZmcDAQHd3d09PTxwO19fXB0HQhw8fMBiMt7c3Foutr68XCARDQ0MODg5eXl5YLDY6Ovqzy2Hi3EsgEOZVjSDOtxSt8VXkGQm8RyDaTjgE0ut4VTi8bSioHXuH73OPbwnN6qgiT3cMLXQMLVaTpwPTyJ4JJNfYZk338m1Xip3Di43dc4hF10Nr0T5B9NP2JD+MI+U9P9xr95CzIdR1zlKXN73EnG/pelcEpJExoXWTcxugm9COrykQwVrRmmDkX5laMvChZiyB0JdQ2Bcj5gNd2b6oijzDYIqMtETb7vbsseDxBCPTa/nVoztBq/7apcjlCd4R+sRX4oz8Ksdn14Vf21L+SFLeN/Fe7iUUQusM9kcSJbtiuHuUxuLwPztp7C1Z9CW2xZ2c33ib1628Ew4V0C99HyKpj4qvGwN7IBQw+FceHz+IRWV9aC0Kw2roV2kXXo+LbzHyq0wtHYzJ7w5/39k7RuNwj9OYvc1D78AwjHIvlHud5IfwvXAvgUBQV1c3NjbG5/PxeLy1tXVKSoqZmdna2hqTyYyJiYmKiqJSqfLy8m1tbRwOJy8vz8nJicViBQQEhIaGbm1tTU5OPnz4cGpqSjLc4txrc4srHvxEAYN3im5ksXfv6kIKZGxxTAKrEFMt4KDSI4Gk5010eNtAHhAtGqaXDVrt7GzSwpW7xDYFpbe/9vzY0DUXkEYWz2gaWC2u1UCqQE/OAoHzw732DjnPhJbm3nlkMwcIP+AWJ4qajMQb4PEFuZUjwAuJhltZeE6XWVC1qlPJq51gVm9zu5ChpWhNiHjfJdnnE7Tj/Vx8hV0IQb1jNA23MlDOQ2uR71ygAwb25hzeReUEe7kXGGACgXBfX/YHDT+wUszhihZokTQ8viBHFCXiH1erBr7EksYJbORfkaAUMHj3+BZxnx0KGLxZUHV4dmdAKvmVp8hJjce7llceH1WdSqxCahu65nh8dLURAfhEJwdxL+Da7TBF+yS1SnCX4PC2MfvjcO/Ysltss4RkPkmtE3MbUSIfb40S/sKzOzc2Obj4FglpHN42eiWSBqdWEwh9kpOB0lDudRgpH5Tme+FeO+68RXYnz549U1RUTE1NDQkJiYiIAM4OiEQiDoerrKyUlZUVCAQwDA8ODmpoaGxubmpqalZXV4Nkr169IhAIu6DEfnpcu3YtKioKpGFz+LsCdASmkyXo/Nkc/i5/0+7xzTbholgituH1hXVjzjFNSBAYBQz+sV1hYBo5qah/YYUZW9CDvCAVMHiHqMa9QYh3tRy9PDYC8/Pz4mK3sLCQk5PLzc09doGnlXHvkAvL6ewaWTLYCZ4NRojqjtl1ccMEYucuEAhLmybVdvZzuMQ0ib/anzkUB6SRkZ2zSjaE5OKBIy2iga5xufzW/gWn6CYQPZ1K2xRCEJ8v6BtbDsvujHjfOTS1eiE0tYWFheKiV1FRUVRUpNFoJ5GgQCAcm1l7m9cVktXRObyETBEQBFGodANfUeBzUXgxa3xwZkdsQY9b/D+bbOzfNiA7dUAyx7eNvslt3kmiMGK+yW3ixmcusU0XK1rXSVA99bx+fn7iopeVlX39+vXeWiAI6hheSi4eEKmND/h7Xzm6xeah3MvhbeOb9HYOV+Cd+BkaCnyrov699o63i3EHgiAWi1VVVaWrq6umppaQkADaXVdX5+bmlpubq6CgAO5MTk4+e/aMwWA8fvy4ra0N3DQ3N09NTd3VVdVPD2lpaYR7wTDcPriIhMB7ZEugzP+1yrOrEOSyYSfGC5hDH9kSihomHlrjFW0I5S1T5kE1b3O7EeUBmIu9EkkrGyKPpnNLDGRNR3EnZBBSJnpy6ghMTU2Ji/3p06dXr149D9xr75CbWaAzWbxosXVDi+CavvHlXY48tm22gJ/PsOxOcRcnSjYEbES97c4HgAIGr+ZcQj2K5fgu5NlcPp3JYTA5W2ze9ofQwMQKCGOqgME/siUga6C7cp2ry5SUFHHRy8vLP3jw4ITca2aBLh7Gp31wEemyUCicXWQEprebBlbnEEcyPw6pu5RWtFKQ9E/sCrtHaMilkg2B1Et9gi00CagqrJ9wjGoUjw750rW0b/xENBFp2Hd4YmpqKi76y5cv78u9YBgmtk47S3QBGphGpjO5KPdCude3/zvi8Xhzc3M8nmi9b3V11d3d/e7du5GRkYjey8PDo7Ky8saNG4jeS0tLa3NzU0NDo7a2FtF7FRUVSQZLfM1RZLzPE3QOi8yW3+Z1j82s8/miHf4Tc+tT1A0W+691FrBGs7jCHJhYnl7YaO6Zf5PRHp3fMz6znlMx7J/aVtc5u7nFSS7ud4lpcon9JyT2Y7vCiJzO/OrRuSUGlcZo2snon9rW3DN/DKUXBEGgbZPzG0yW6NUouafoUwSB87PmuGvITe3saBP5ZmNwShonPRNIaaWD47PrYzNru6QM9jlmlA+9rxwJShcFqwF2h88citNKB3Iqhj3etcThe+dpm5810oJECi3h0urW4OQKdXlT3F3nBoP9oXrUIrjGNqKugjSVVNQHPjPAv16JJMmrmQjg5+fkoDXHw7RQBJRAuLjKxNeNucWJbDeByea26pH96TZkHk/AZHF5PEFj95y2R/lrr4/p5UOusc1+KW31XbNdw4ttA9TgjHaPhJamnnkWmzs1v/GO0FfUMEGoGwfuaQDC2Mj6mA/dDV1zx5gfDtOj7yrNQWuOKPcC65Vucc31XXOf1VSheq9v/Fezvr5uY2NTV1cnEAhGRkYcHR1dXV0tLCxWV1cRe6+FhQVxey9nZ2cWixUYGBgWFsZkMoG9F4VCkYzULu4lWuuEIA6XDxy4r6yz4vG9hv6VJoFVqSUD9J3oBxwufzuytUts0wvXUpfYpvrOWQaTA9Lz+AIksgdtbSsks6OgdswyuEbNuQSx9zLyr3xH6HOOadJwKwvObD/2xIq0zTigKqmw/6JEZpAsji/z9Fxxr11DDkFgxzSet7TKBCNwl5RZHD6RRMGE1mrhyt3jW8JzOnW9K157fsTt7POwDq1NKuqfX/r8Pl9A/kh9VPf4Zg23Mseohm3X7YBJCIUQvm4cMRJXtCHkEIeRiA4KGLx1WN2RYi0gXfuKJyfhXjy+oH1w0TOBpOlebhNeF/G+yzSwWgGDN39Tc1B8VQaTm1jYr+dD1MaVJxT2FdaPu8Y2v3Qrw0bWZ1cMp5T0iywQlpmI9dg6gx2T36PjVaHqBHzfd710K1OyIbQNLEjY9PMV8bxAVaPcC7X3Oslw/V7svQQCQXFxsZ2dXUBAgIeHR2Ji4sTERGBgIA6H27XP0dra2sfHB4vFAqI2NDTk6OiI7HP87Ef/Xu6FiEew4zgR2fb40Bq//U3AFwhHp9cwof9EaMGE1o5Or4mrnYRCiMXmMbe4y2tbI9NrxFZKeE6nV6Jon6OGe5nHuxYwZYNP273ZkQZIONnbtoLasQthfyOhU1/s0XnjXgd1/CApC4VQ9ygNuOUEo8g9vqWgdiyxsM85ugnYej+0xqeVDh4UHgepEYKgqfkN+7cNoBwFDN40sHpgckUIQUwW1zK4BrmvgMHbhde7/226pGiN/0iifPUYQUhHDnlybO4FQdDsEmM76BACiIFvpXdSq6pTSV7V6L7hFIVCiM3hr9PZ5MGFsubJyjaKXcQ/Rvcgu4pTsbiYgDK7vmvWL6XN412LgV+lojVBAYN/k9F+4VSMh5TIF0uGci+Ue51ksH0v3AuGYQ6HMzo62t7ePjAwsLGxAfx7dXd3f9a/18zMzLH9e4nLZnOLK06SFDB4bEQ9g8kpb5lSdS5BpmA155LylinwkoMgaIvNa+qZD87sSCzsG6as7rhOZWSUDwHH4pru5Z6JJFWn3dmP+g7b2zYL0cf3gVsyxfuFnl8U7nWQlLk8QVbFsLgvAy1c+bZqRHyBG4QWXVhhSv78EAiEtR0z4hZjKo7F+LpxPl/I5vAdoxuRcQ4iMVS2Uize1FiG1H6oGTtI2XOeB9ixuZdQCJH6qOLmm88di4PSyWXNkyOUtfSywZCsjvquWRAVQDR9cfmdw0tvc7sSi/ooVDqLzSO2UsTXE5/vBB977VlhHFC1a48zi83zTCQ9FfNVEZ3fg1j0n2d4z3PbUO6Fcq+TjM/viHudBKbD55Wg9+LyBF5JJPF3T0hWB4fLb+mbf+31Ebn/2quipY8KVgT4fGFJ46Sy/V/OqfV9iB1Di2t09uwSA3gJV3cp9UwgaXvsn/3wzd7bNr/UNnR2PiSAF4V7HSRlgUBY3jIl/iI3C6oemV4NyWpHhqUCBu8c0xSa1bGwzJQAi1AIdQ4vIXEDFTB4TVx5bcesQCjaZdzSSxXfejI2vcbjC1Y3RFEfeKcRFVRCw87o0bG5l2irweSKccA/PmU0ceWV5Om5JQbi117Zvii/ehT8DJt75p//HcRCzblkdpHRNrCABNlUwOA13Mo8E0gabmXbETN36bQgCCptmkT8/z2yJUzNiz4+zwiT76RYlHuh3OskQx3lXidBb5+8ErgXDMMjlDVN9/LHdoVPsIXaHuWziyIDGgaTG57d+dyxWMmG8NyxODy7k8HkgqKXVrfEnfc8wRYGZ3b0jNF4fME8bTMqv8c9rrmseSo0a//s+7Tv4Fv/tM2uUAtXPr1APzgt+uQTBC4K9/pkBIpJWSAQjkyvYSMbnmKLlGwJKk4lUXndtLWt2UWGtkf5E7vCx3aFL1xL86pGH9sVppYOSvYRxWRx4wp6VZxKlGxEwQQDUsmI7SCXyycPLPiltAVndgxTLoZTiU8kvefi2NwLhuEtNi+1ZEBVDKiVDdaueI6WwbUziww2ly/uXEYBI3KQtrrBjs7vUdmZN545FDtHN/mmtG1PLz2j++xk3GLz6jtnPRNI4TldMwt01JxgjySPfAPlXij3OvKgEcuAci8xME7jVDL34vNFL7mU4oH0skEKlQ6Wb8A2tPKWqbDszvKWqQ0GB/kknV6g63kTEd3DI1sC7l1L5/AiCBbE4wtYOxFjNhiihcu92Y/UIaRtqaWDE7Pr6Ox8ePQuEPfaV8o8vqCoYTw6v9srkeTwtuFNRntwZvvg1IpgxxjRP6XNJabpbV634Y61UFh25y61yi6gIAiib3Iq26bDczqLGyfX6Gxxs26R0RKXz+EJkEG+K/vFujwJ94IgiMHk1nTMRr7vAkCxOfzYDz3iXiF0vCpGZ9YYTI6R/z8aMgUM3j+1jcXmrdHZ5aJPrw583Tipj5pVMTQwucLjiTwU7j2AuRiqzN6LzPHuoNwL5V7HGzkgF8q9ToLePnklcy/gq4LHF4AAw+L5BUIhh8vfZae1yeKKe2ZScy4l1I3PLDL2vrf2zS5e/mHOd7xdCC7o6s9hOnhGaS4Q90JGoLiUQUwhY/8qXa8K08Dql65lgWnk5Z1g21tsXn71qHFAFbAGe+ZQfMgtckIhxOEKdo3nM8L/KxZ7Eu4Fmi0CivcXUGDF9qVrKfjceojBh2V3rjM44tHGFDAih3/NPfN/mSWAaK07U4q4O4+viMl3UjXKvVDudZKhjnKvk6C3T97Pcq998hx8SyiEZhbocQW9+j5Eu/D6wvrx6YWNc/jlCsLPfXYT3MEdvdhPLhb32hfrv2Npd4XtxNIem1kDik8wAkVuKfwqsZEN1eQZ1DWUOIAn517ipcEwzObw6zpnHaIa9X2I0Xk9k3MbgGMtrW6llg6aBFTZhNWVNk1KCE22q0AYhnl8kXswVJO9F5mT3EG5F8q9TjJ+UO51EvT2yXu63AvaOdgc/sLK5uIKE/j62qv02qcdX+qWUAgtrohcRlkE12SUD66si5zsf6nKz0s93wD3Ar5Vg9LJFsE17ytH1uhsMMyQEUhb29rY5OxYzH938pUwzk6de0EQJBRCdCaHtrYF4nAjguDwBCvrrHUGWyAQbVyQ0CrkkUisS5thOZ12EfXFDRP0zX/sGZA06MnxEEC5F8q9jjdyQC6Ue50EvX3yni732qeC83QLgqDF1S2Hv505PRSZoZCR1/Z5aunZtuWicy8IgqjLm1YhfzmZe2iNjyvo3dziHvIFf7bgnu/ST517nWJ3RS7EFhmGf4fyfGiNTy0ZYLH5p1jF91wUyr3OIffyfEdaZ3A+OyzBJ+Vnk51pApR7nTK83xX3EgiEFa0UcWdOrz0/tvZ/dy6zLzr34guERQ3j4k7mDP0qhymrKPf67OxwnrkXny/MrRp55lCMbNYxDayeon4mpOxnu4wmAAig3Oscci+/lLZ1BntibmNkek3C3+wSQ3g4zfHZjXaUe50ytt8V9+ILhKVNk2pijmG1cOWIFfApI3uOi7vo3IvHF3yoGVVx/OclreddMTC5gnKvzw6688y9eHxB5schcZe5Br6VE3Prn+0UmuAwCKDc6xxyLxCkPCi93T2uRcJfaungYUR8pmlQ7nXK8H5X3AuCIAqVLu6BbDtuycKKKJzcKcN6vou76NwLgqCJ2XUk6MJDa9H2ujXGXyZf5xv7r9y688y9IAgamV7T8674a9ekNT4mvwfxHfiVgbv41aPc69xyL5+kVhDP+6B/Ewh9X30AotzrlEXwXXEvGIZBPMqg9HZd74q3ud1T8xvf4Xaqi869RHLkC4YmVz0TSIZ+ldvRmueXNr/DPRPHmAvOM/cCOxz7x5c9E0jGAVVppYMLy0xUrMeQ8r5ZUO6Fcq99B8Yhb6Lc65BAHTbZ98a9AC48noDO5PD4+zt1PCx2FzbdN8C9APZcnoDBFHmZu7Ci+NINP+fcCxHr5hYq1lMeGyj3QrnXSYYUyr1Ogt4+eb9P7rUPEN/TrW+Ge31PQjudvl4I7nU6XUVL+RQBlHuh3OvTEXG0K5R7HQ2vz6ZGuddnIfr2EqDc69uT6SF7hHKvQwL17SVDuRfKvU4yqlHudRL09skrLy+vra0dhR7fCgK5ubn7iPnTWwsLCzdv3jQxMflWOo32Q4RAVVXVp3Le5yo1NfXGjRuBgYEoZN8MAklJSWNjY/sI+9NbL1++vHXr1q5ex8TENDY2FtcNmfsWGnvhD/pze1uxwWA7hVcclADcTywgdw7OYwKLJSRzCC0bpSwHJTdISGPshfeJr16js2zflEpOhg0p7R1diMxqkZwMlGYXXCYhGSagqLJlLJ/YbyYRClwUkc3hO4Z9lFCUsRfe0r+wpG7os6UdEtiIzKbx8fH4+Phd4svOzuZyuZ/K+ayuUO51ysjK7xyq5+OQlpaWl5c/H235pBV//PGHjIzMJ7fOx4WcnJy0tLR4WxwcHD47RBYXF+Xk5O7evSue8QucX7t2bVdrv0ClSBXXrl37448/kMsvfCIjI3PWtUdFRX1W9GlpaTIyMsrKyqfS/bt370pLS59WaSdv0t6fw8nLPEkJX0Doqqqq+vr6zc3NnxW9pqbmviNQT0/P0NhcXUtfTXOfPyXll39cu62sqmljY6vxynDfNMhNXQNTMwurF1oGyJ29Jy9fGVhYWWvrGu99JH7nxq0HqqpqL7UlFaWmqf9S28DcAvNaz0Q8795zLR0jGxvbl9qS2v9Cy+Cl5qs79xWV1bT3loDc0XxtaGtn91koXmjpGxqbGxgdCCwoUPOVoaqa2vWbD5Dy9z15pWdsamqqpqa2azTa2NiwWKzPiv5UEqDc61RgPKeFnNsF0NevX5uamp5D1IKCglRVVc9hw/ZtEhaL/YqtxWKxr1+/3rdhX+CmhBWfL1D7GVVx3lYwz9vP4RsQeltbm6qqaltb2xkNoYOK/SpTbklJiaqq6tTU1EGtOov7F2WQoNzrLKR/XspEuddRJXHeXjaS249yL8n4XLinKPeSLLKL8lqV0AuUe0kA51QeXZRBgnKvUxH3OS0E5V5HFQzKvQ6PGKr3OjxWh0yJci/JQF2U16qEXqDcSwI4p/LoogwSlHudirjPaSEo9zqqYFDudXjEUO51eKwOmRLlXpKBuiivVQm9QLmXBHBO5dFFGSQo9zoVcZ/TQlDudVTBoNzr8Iih3OvwWB0yJcq9JAN1UV6rEnqBci8J4JzKo4sySFDudSriRgtBEUARQBFAEUARQBFAETgUAij3OhRMaCIUARQBFAEUARQBFAEUgVNBAOVepwIjWgiKAIoAigCKAIoAigCKwKEQQLnXoWBCE6EIoAigCKAIoAigCKAInAoCKPc6FRjPVyECgSA0NDQ/Px+CoJGRERwOp6+v//bt2y8WLWFfOAgEgra2ts7OkZWVtbW1FRcXZ2BggMPh5ubm9s3yZW5ubGwEBQXp6+t7eXlNTk5CEJSbm2tkZGRnZ0cmk4VC4ZdphoRauFwuHo+vrKwUCoVsNtvV1fX169cASSqVKp5xbGzMwcHByMgoLS1tY2ND/NGxzzkcTnZ2dmNjo1Ao9PX1BfXq6OhoaGiUlpaKFysu4uzsbD6fL/70GOfNzc22trbGxsaJiYlcLndjYyM0NNTAwMDPz29lZWVXgR8/fjQzM7Oysqqvr+fxeLuens9LJpMZGho6OTkJw/DCwkJYWJihoaGzs/Po6CgMw2w2m0AgmO4ctbW1Z9cFHo9HJBIxGIyJiUlmZiYEQVNTU97e3vr6+uHh4RwOB4bhtbW1pKQkAwMDOzu74eHhs2sMDMMMBiM3N9ds5ygqKuLxeM3NzQ4ODoaGhhEREevr6zAMgxbq6OgEBwcvLS2daXuOVPja2lpqaqqxsbGZmVl5eTkEQaOjo15eXjo6OmFhYWtrazAMb25uxsTE6Onpubi49PX1gfKrq6tPMoDBbB8SEkKhUPh8fmpqqqGhob29fWdnJ5jEOjo6MBiMmZnZx48fBQLBvlI+Uk9XVlbCwsLAXGRoaFhXVzc0NLQ9n+vq6kZGRjKZTDBsoqKidHR03NzcRkZGQPnFxcXGxsZWVlZNTU3HmCU2Njb8/f0NDAx8fX3n5uYgCMrKyjIyMnJwcOjt7RXuHO3t7dbW1qampuXl5aDS8fFxb29vPT294ODgzc3NI/X0LBKj3OssUP3KZVZUVPz555/h4eHLy8suLi5paWnT09Ng2vqKLfPx8cnMzGTsHGw2OyUlxcbGZmpqKjo62sTE5Cs2zMjIyNfXl0qlRkVF+fj45OXlPXr0aHR0tLi42MzMbO87/gs3lc/nZ2RkSEtLJycnCwQCBoPx4sWLkZERgKRAIEDaw2Aw7ty5g8fjx8bGbG1tP3z4cHLiyGazExISpKSk8vPzBQLB1tYWqLe0tFRFRQW8SJAGmJubp6enIyKGIAh5dIyTlZUVJSWluro6CoVibGyckpISFBSEw+Gmp6f9/f3d3d3Fy+zt7b1161Zvb29tba2+vv7ExIT40/N5vrq66uPj8/PPP/f09LDZ7Pj4+Ddv3iwuLmZkZNy7d4/P53/8+NHS0nJwcLCzs1NNTa23t/eMOjI4OPjy5cu2trbx8XFVVdXMzEwcDhcXFzc9PW1paRkUFMTj8ZKTk93c3KanpwsLC9XU1HaJ/hQbJhAISkpKrKyshoeHh4aGHj58GBMTY2FhUVVVtbS0hMViPT09NzY2bG1tU1NTV1dXg4KCvLy8zgnb5vP5OTk5jo6OFApldHRUSUmpqqrKwcEhMzOTRqPhcDhfX18IgsLCwrBY7NLSUm5urp2d3dzcXG9vr4yMTHd397EHMJvNNhRPTlkAACAASURBVDc3V1FRGRwczM7Ofv78OYVCIRAINjY2FAplfX39/v379fX17e3tKioqIyMjdDp9l5SPKsTR0VEcDtfe3g5+8vPz846Ojjk5OfPz81ZWViEhIQKBICgoyNPTc3V1NTs7G4PB0Gi0+vr6hw8fDg8PNzQ0mJubI4Ts8LVraWkFBwfPz8+/efMmMDAwPz9fTU1tbGwsPz8fzNhra2svX76srq7u6up68OBBX18fAD85OXlubg6Dwfj4+By+ujNKiXKvMwL26xQLQdDExISXl5e2tnZ4ePjw8LCxsfHMzAwMw0NDQ7du3QKfsF++cRAE6ejoEIlEKpW6uroqFApfvHgBPuU3NzdlZWVBI798w4aHh69fv06j0ahU6vT09OzsrK6ubk5ODtA6YDCY1tbWL98q8RrT0tKsrKxsbGwA9+rp6VFXV5+fn19cXARflkjijx8/Pn/+HFwWFxd7eHiw2Wzk6fFOEhMTsVisiYlJXl4ewvOoVKqFhUVNTY14mUKhUEZGpr6+HoiYz+efkHsNDAzEx8fDMAxBUFJSkrW19b179wD/mJmZuXHjxtbWFtIAPz+/kJAQGIa36aabm9v79++RR+fzBGi8fH19Hz9+3NPTw2QyfXx8PD09R0dHExISVFRUGAxGUFBQRkYGgD08PPww8SWP19m2tjaAGARBISEhFhYWr1+/Btq40dFRaWlpCoXi5uaGBBe3tLRE1AnHq1FCLi6XSyQS6+rqgOhdXV3t7Ozy8vKArqKpqUlDQ6O5udnOzm52dhaG4YmJCUtLy2O8wiW04SSP+Hw+j8ej0WjV1dWPHj3KyspycnKanp6GYXhmZub169ddXV3a2tpDQ0NA2enu7l5bW+vn5+fr63vsASwQCDIzM/X09GxtbQcGBjQ0NKqrq2EYXl9ft7Oza2hoyMrKMjAwAP0KDg4OCgqam5vbJeUjTRcQBLW1tTk5OfX09CwsLNDp9L6+PkdHRzCTT09PP3/+vKenx9jYGPR0cXHR1dW1rq7O2dk5MTERhmEul+vq6lpYWHikT8SBgQEpKSkwY1MolNnZWXV19YKCAhiGWSyWnp5ea2trSUmJsbExKDYiIsLZ2bmvr8/W1nZ8fByo4u7fv7+8vHwSKZ88L8q9To7hOSqBTqfHxcUVFBQ4OTmFh4eTSCRTU1MGgwGYhIyMzNda3eNwOPfu3XN0dLS2traxseno6JCTk0NWLh4/fgym2i8PZVlZmaKiYmBgoK2trY2NTWVl5a1bt5Boa56ennl5eV++VeI1bmxssFis0NBQwL0+fPjw7NkzV1dXKysrf39/8YXF5ORkW1tbkLexsdHW1lacnYiXefhzOp2+tbXl5eWFcC8ej5eVleXv7w+WfpCilpeXpaSkcDicjY0NFottbm4+0pSKlLPrBIKg6elpY2PjnJycq1ev0mg0MGvLysqOjY0hiU1NTQkEAriMjIyMiIhAHp3PE6FQyGQyNzY2Xr161dPTIxAIKioq1NXV9fX1lZWVtxeMFhcXPTw8ysrKQPuBLupM+7L9RTQ2Nqaurp6VlaWtrQ2G1va656VLl+rr652cnMhkMmiAl5dXWlramTYGsJDe3t5Hjx4h9S4tLVlbW4eHh1dWVrq7u4PBMDc3Z29vj/xmz7pVhykfgqDw8PBXr15ZW1snJyfjcDjQ1KWlJVNT07y8PF1d3YWFBcCNPD09i4qKTE1Nc3NzQeFHHcAQBDU0NJiYmJBIJCwWSyaTHzx4ANgen8/H4XB5eXk+OwcoPysry9zcvL+/f5eUj/QBDEFQdXX1y5cv7e3tMRiMk5PT+/fvnZycVldXwaqxmprahw8fMBjMNnEHjMfb27uwsFBHRwch8SEhIe/evTuSzpJAINy9ezcgIADM2A0NDX/88UdHRwfoGqDp0dHRnp6e4A4ej3/58iWZTLayskLWph8/fjwwMAASfK1/Ue71tZA/k3pLSkpCQ0O3R7+bm1t4eHhzc7OZmRn4XuRwODIyMuBL8Uzqllgoi8UqLi6em5vb3NxMSEh4/fq1rKws8qn69OnTMzVnkdC0wsLCX3/9ta2tDdjW2NraSklJtbe3gyyAc0jI/mUecTgchHsNDg7W1tZubm5SqVRdXV08Ho+0AeiowGVTU9OpcC/wNSnOvbYtzIAKZBe1Wl9fz8/Pn5ubYzKZaWlpWCyWxWIhbTveiUAgGBgYcHV1DQ4OplKpV69eBUvAPB5PfPzAMGxsbFxUVARqefv27fnnXqCpdDodcK/Nzc13794RiUQWi9Xb23v//v26ujpx7pWVlYXD4Y4H42Fy8Xg8MplsZ2f39u3bqampV69e0el0QHMvXbpUV1fn5OSE/C68vb1TU1MPU+yx03A4nO1FRmC5CHSoQ0NDzs7Obm5uS0tLFRUV4tzLwcHhvHEvgUBAp9Pd3d2fPHkizr3MzMxyc3P19PQQ7uXl5VVUVGRsbPzhwwcA11EH8LYFAgaDGRkZGRoawmKxra2tDx48AJ/ZAoHAw8MjNzfXy8vLz88PlJ+dnW1mZtbb27tLyoCuHVJkQqFwamqqrq5ufX19m6a7ubk9ffrUyckJLEYD04j8/Hxra2uEe/n4+BQWFr569QpRmYeGhh6Ve+Xm5v7444+dnZ0sFisnJ8fW1vaXX37p6uoCzcZisXl5eVFRUd7e3uBOYWHhixcv2trarKysAAOGYfjJkyco9zqkoNFkh0JATU3t2bNnGAzm1q1bDx48cHNzMzExAebYk5OT8vLyJ1eEHKodexJRqVTk99bU1HT37l0VFZXm5mbwar958yZY4NiT78xvNDc3S0lJgQ+vrq4uY2NjBQWFwsJC8NaxtbVtamo680Z8rgJx7tXa2goMsbdXZFxdXcPDw5HcJSUlWlpa4LKsrAyHwx1pEQEpZ9cJi8VCuBcEQR0dHVgsdq8CdXZ2tqKiAuRtbGw0MTHZtSS6q9jDXLa1tZmbm6ekpKyurm4bXN++fRvwdSqVKicnB8gBKMfT0zMmJgYoSzw9PbOysg5T/ldPg3CvpaUlExMT5PNdWVkZj8cHBAS8f/8ecNyoqKjIyMgzajCfzycSiebm5mBpb3V1dduAGnynUSgUaWnpsbExd3d3RDltY2Oza5vF6TZsa2srMzPTwsKisrKSx+MJhcKWlhZzc/PExESgViGRSI6OjvPz8zAMT05OYjAYsLB1us04RmkcDqeioqKlpQUsuGdnZysoKLi6ugIw5+bmwKLYq1evwPrX4uIiDoerqanx9PQMCws73gAODQ29c+cOBoPR1dWVk5PDYrG3bt1qaWmBYZhOpzs4ONTU1KSkpFhaWoIeRURE+Pn5TU9P75LykX6wfD5/cHAQWbvIzc2Vl5d3dnYGQpmfn1dRUWlvbzczMwPz1dLSElhdtbe3z8zMhGGYx+N5eHgUFBQgxgyHAby+vv5///sfsNBva2vT09N78OABUA9zOBwjI6OmpiY8Hm9paQlEEBMTY29v39vba2dnB1ggnU5XUFBAdGCHqfQs0qB6r7NA9auVubCwML9z2NjYeHt7Dw8P29ra5ufnr62t2draenp6ntAE59gdW1hYePToUVtb28rKChaL9ff3j4iIcHJyWl5ezszM1NDQONLP79jN2Jtxa2vr3r17iYmJDAYjNjbW1dX13bt3z58/n5+fb2hoMDQ0BJ+nezN+yTvi3CsxMdHCwmJ5ebm3txeYrCItWV5evnHjBjBJdnZ2RkyFkATHOxHnXgKBIC8vz9vbe+/upPHx8d9//51MJq+vr3t5eYWEhJxwX+3S0pKysvKHDx+2t3aCcevq6hoQELC6uhoVFYXMraBTzc3Nd+/enZyc7Orq0tXV7e/vP15nv3AuhHutr69jMJjw8HAGg7Ft7XTjxo35+Xk8Hm9tbT0zMzMxMfHixQvwNj2LFg4MDLx8+ZJIJG6b4EAQxGazsVhsenr62tqai4uLo6Mjm82OiYnx9vZeXV2tr69XVlbetcH2FFslEAhKS0sNDQ07OzvBtDA4OGhoaEggEBBNKo1Gs7S0zM3N5fF4MTExTk5OyKNTbMkxigI/EGtr69mdQ0NDIyEhwcbGpqCggM1mBwcHOzs7czgcHx8fHA63tbVVXl6OwWAmJiaam5uvX78+NjZ2jAG8vr4Opv36+nozM7OmpqaoqChNTc3l5eWamhoLC4uxsTEqlXr79u3Ozs6xsTFVVdXOzs719fVdUj7S20EgEBAIBKSnKioqYWFh21qowsLC7ZUWNzc3HA7H4XA8PT2DgoK4XG5JSYm5ufns7GxpaemTJ09mZ2eBNVhfX9+R6mUymdeuXcvIyKDT6SEhIR4eHgkJCVpaWgsLC5WVlUChuLCwAJjf9oSgpKTU2NhIpVLBPgAGg7FtCIvFYnep7Y8h6xNmQbnXCQE8p9l9fX1jYmKEQmFPT4++vv7NmzednJxORQty7A6XlZU9efJETk7O09OTxWIxGAwvL69bt269evXq6+5KW1xcNDMzk5eXNzMzGx8fFwqFsbGxd+/eVVZWrq6u/lqkUBxnDocTHR2dmZkpEAjYbLavr6+8vLySklJJSQkMw4uLi05OTkCt2N/fr66uLi8vHxQUdFo7NFksVlBQEIFAEAgEPB4vKSkpLi4OaR6FQnF0dCSRSDAMV1VVARG7u7uf/LMyMjLy8uXLMn8fFhYWKysr9vb28vLypqamgBP39/fb2NiAD+v3798/ePBAUVGxsLDwhLQP6d1Zn9DpdGNj4/7+fuCJwNLSclsHrKmpCbjj1tZWUlLS/fv379y5g1iznUWT/Pz8pKSk/kZaxsnJaWhoyNjY+ObNm1gsFswby8vL/v7+N2/efPbsGbLEcxaN2TYxtLW1lZaWBu2RlZXV0tKSkpL6888/wR0jIyMmkzkyMmJiYiIjI2Ntbb1XC3sWDTtkmXQ6PTY29t69ew8fPszLyxMKhb29vYaGhteuXdt2mAKWvTY2NnA43I0bNzQ0NJDdPHg8XkFB4SQDePuH4ObmNjw8zOPxgoODb9++raqqWl9fDyaxhoaGJ0+e3L9/H/h/gSBor5QP2UeQbH19PSoq6s6dO7du3UpMTBQKhZ2dnXp6erKysg4ODkAtvby87Orqeu3aNW1tbTBsIAhKT0+/f/++oqJiWVnZkYy9QL1UKtXY2FheXh6DwczOzkIQFBkZeefOHVVV1ebmZoFAIBQK6+rqnj59eu/ePaBjgyCov7/f2Nj4xo0bVlZWwJbxSJ099cQo9zp1SNECUQRQBFAEUARQBFAEUAQORADlXgdCgz5AEUARQBFAEUARQBFAETh1BFDudeqQogWiCKAIoAigCKAIoAigCByIAMq9DoQGfYAigCKAIoAigCKAIoAicOoIoNzr1CFFC0QRQBFAEUARQBFAEUAROBABlHsdCA36AEUARQBFAEUARQBFAEXg1BFAudepQ/rlCuRyuQUFBcDZIFLr1NRUfX09i8VqaGggkUh0Or2ysnJxcRFJIH6ysLBAJBJP7nCVTqcDl3oDAwMtLS0XZYe/OBQX8ZxAIExNTe1qOR6Pn945qqureTxef3//YWIG8Pn80tLSIzltEgqFwLMijUYjEonnYdv2Ligu7uXCwsL79+9TUlLArwn8ls+6O6f142UwGGDCaWpq6uzsPOtmf4flV1VVHcOXbF5e3kEvgu8Qw6/eZZR7fXURHL8BdDr9/v37g4OD4kVQKBTAvbBYrIeHB4VC0dfXRwKiiaeEYZhEIunp6Z38BxkREZGdnQ3DcHJysru7u7jD8V01openiABwkLOrQAKBMD09TSQSTUxMtra2EhISEH/Wu1KKX7LZbFVVVeCmS/y+hPOxsTFNTU0Yhru6uvT09L6ukzYJ7byIj968eaOjo2NkZAR+TQ0NDYgXqLPrTnJyspubGwj/epJaoqOjgTcyZ2fn0NDQkxSF5t0XASMjo/T09H0fSbgpJyd30ItAQi700RkhgHKvMwL2SxS7L/cSCoUCgWDbOfWX5F66urogogvKvb6E4P+uY1/uxefzhULhF+BeLS0tv/76K8q9/pbGaf6vra0dExOTkJAAuJdg5zjNCvYr67S4l7GxcUpKCgzDKPfaD+ZTuIdyr1MA8WsXgXKvry2BE9RPp9NlZWUxGIy0tLSSkhLQQpeVldnY2IDQPUfSe8XHx1+9evXatWsxMTEg/DaIFf/y5ctLly6ZmZmBqB3z8/OWlpY//fSTmpqag4NDeHh4cHDwjz/++K9//cvLyys5OdnAwEBbW/vHH3/U1NREon3t7aW9vb27u7uKisqVK1cSExMrKyvl5OTu3LlTWVkpFAqzsrJ0dXWxWOxvv/2GwWBmZmaUlZV///33uLi4IwUd21vvt3RHUVExODh4GzQZGZmkpCSwdqygoFBRUXFI7rW+vq6joyMlJeXs7Hznzh0SiQRBUF9fn7a29q+//qqqqgq0qtvRZhwcHOzs7H766acXL150dnaOj4/Ly8v/8MMPioqKeDxeV1cXh8NduXLl6tWrWVlZeyMOAdjJZPKzZ8+8vLwuX76srq5OoVAMDAykpKR8fHzAkuXTp08DAwPldo7e3t7AwEBpaWkdHZ0jRfm96CJWVVX94e8DcC/wHUWj0TAYTGhoqLy8/LVr19LS0rhcLo1Gu3TpUmZm5tWrVx88eFBTUwP8end2dqqoqEhJSenp6QFf6rm5uWZmZoqKin/++efy8vJelBDuxePxIiIi/vzzTzk5ubS0tO1Q5TQazdPTE4fDKSkp/fe//3V1dQXqse3AOTo6Or/88ouJiYmWllZRUZGLi8sPP/zwv//9Lzk52dnZ2cHBQVNT89KlS1ZWVgcJkUajeXh4uLu7KygoXL58OSkpKTc39/r16w8ePOjt7eXz+bGxsVgs1sDA4Oeff8ZisSQS6dGjR1evXs3Pz9/bi+/hjpGREQ6H245jeOXKlejoaCCL1dVVW1vbK1eu3Lt3D0RWFQqFra2tysrKV65cSUpKkpOTq6iosLS0zMvLA9/ndXV1tra2wFxkF26zs7NycnKBgYFXrlxRUVFZWFgwNTW9fPnydoxgMHh6e3tVVVV/+uknEOEHhmEGgxESEvL7779LS0sHBATweDwmkxkdHS0jI3Pp0iV3d/f19fVdtSCXbW1tDx8+/OOPPwICAqSkpM5VoAKkkad7gnKv08Xzi5ZGp9P/+9//Ojk5DQ4ORkVF/fnnn+vr68fjXunp6aqqqt07h4GBQUZGBgjVrKSkVFlZ2dXVJSsrm5ycDAIBubu7T05O5uXlXblyJTw8nMViaWtrh4aGbm1tJScn//nnn3g8fn5+3srKytHR8SDbL3Nzc2Vl5ebm5ry8PGlpaWNj48HBwfDwcHNz842NjfT09OvXr29HiSGTybdu3bp3715raysej1dXV78oofq+wFBQVFSUl5cnkUg1NTUvXryoqakRCoWH515cLvfp06eurq7Dw8Ph4eG//fbb9hr0/Pw8BoNJTk6emprKycm5f/8+hUIhEom3bt3y9vaempqKiooyNDQcGxurqqr65ZdfNjY22tvblZSUHB0dZ2dn8Xi8mpraQTFnyGTylStX4uLihoeHnz59ev369dLS0urq6sePH4PVEFlZWSsrq4GBAW9v719++SUyMhLEY4mLizuIz30BnL9wFQwGQ11dPWrn2MW9zMzMHj9+3NHRUVNTo6GhUVxcvLi4eOnSpVevXnV3d2dlZSkrK09OTtJoNE1Nzdzc3MnJSRBuhclk5ubmysrKVlZWgnjkezuFcK/c3FxjY+O+vj4ymfz06dOcnBwajWZtbf3y5Usymdzf36+oqPj+/fuNjQ09PT1PT8/x8fHY2FgpKamioqLNzU09Pb2YmBg2m+3s7CwjI1NbW9vX12dgYBAfH7/vbECj0UxMTPT09Hp6evLz83/88UdnZ+eBgYHteK8mJiZ8Pj8qKurBgwdEIrG7u/vXX38FzUhKSrp9+/Z5CPm1F8mzvmNkZCQrK9vY2NjW1qatrV1cXMxisVRVVZ2cnIaHhwsKCu7cuTMyMjI9Pa2jo5OQkDAyMoLFYqWkpMhkcnJysq2tLZvNZrFYYWFh29Ew9/1lbf+Wf/7554iIiOHhYQ0NDWlp6aKiooaGBhUVFcDvtbS00tLSZmZmMjMzf//997W1NWDB0tnZOTAwoK6uXl1dTSQSDQ0NyWQyhULBYDC5ubn7IkOlUuXl5dPT0/v7+zEYzL///W+Ue+0LFHrzvCBAp9Nv377d3t4OwzCHw5GRkSktLT0G95qfn1dSUnJzcyPsHE5OTlpaWjAMu7u7u7m5gdkNi8U6OzsPDQ2ZmpoODAxAEMRgMOzs7MLDw2EYFl9ztLa2Bub/5eXlhoaGu7YCINhZWVl5e3uDcIRXr16tr6+HYbiurs7U1HRlZSU9PV1NTQ1o2rS1tX19fWEYnpyc1NfXB/1FyvmeTxQVFUG0Mj6f/+bNm8DAQC6Xe3juNTg4+MMPP4DAiEtLS0+ePCHtHEpKSikpKWAwKCkpZWRkEIlETU1NkJJCoZiZmVVVVYmvOaqrqwMN2ezsrKmpaXV19b5y2X5zKysrj4+PwzDs6empoaEBw/DGxoaJiUlxcTEMww8fPiwsLAShIf/1r38BHWdYWJiPj8++r+19a/kGbmpqaibvHHu5F1BasNnsyMhIf39/CoVy6dKl5uZmGIa3trYMDAzev39fWFh4//79Dx8+EAiE/Pz8//znP01NTYBRSYgNj3AvJSUld3d3MABsbGweP34MVG5paWngPe3q6hoWFtbc3Kympra2trY9A8zNzenp6W3rvYRCofiao6ur6/bio0AgiIuL8/Ly2teYjEajWVhYZGRkQBC0HXT58uXLYHcIHo9//vw5n89/+/YtomkDMZthGB4ZGbl58+b3ucPDyMgoKioKABsbG+vl5dXS0vLLL78ADZZQKMRise7u7vX19bq6umADzerqqoyMDKDOKioqMzMzS0tL5ubmBwVon52dvXHjBli4CAwMfPLkCdBs2dnZ5eTksNns2tra3t5eEomUk5Pz22+/DQ4OAiKYkpLS2tra0dGxsbEBGpCYmNjc3Nzd3b2vthWG4ZSUFHV1dTC0Ojo6pKWlUe71DUxi33IX6HT6w4cPJycnQScVFRUzMjKOwb2mpqauX7+OxWIjdo6wsLDExEQYhr28vIKCgkDhbm5uDg4O3d3d5ubm4N0JQizv5V7gbQHDcE1Njb6+/kG/Nxsbm8jISBiGl5eXr169CrRZDQ0Npqamy8vLGRkZr1+/BlXr6urGx8fDMCx538C3LOkD+qaoqNjU1AQexsfHu7u7czicw3OvxsbG//u//wNTHo/HU1dXJ5FIpaWl9+7dCwoKAoMhMjKSRCJtb4a1tbUFNHphYcHa2rqkpESce+nq6gJbe7AkXVlZuW+TyWTyixcvwOvfz8/P3NwcTOimpqbAOvvx48fgvVtXV/fTTz+BQiIjI729vTkczr5lfpM3D+Je5ubmzc3NEAQJBIKMjAwXF5fR0dFLly4h7yoMBhMTExMXF3f//n0gwYiIiJCQkOHh4dzcXCwWe9DvEWyUAbb20tLSdnZ2yGwQGxtLo9FsbW3xeDwEQWBmCA4O/vjxo66uLuDH6+vr1tbWe7lXSEgIEJAES1Aajba9nF1QUABSSktLg++r4uLip0+fAu7l5+cHBoCmpmZSUhIMw2DV+6BPu29yVCCdMjIyQmKrZ2ZmOjs7FxUVXb58GdFghYSEGBoaEggEU1NThO/eu3ePTCZzOBxLS8ukpCTwoXsQeZ2dnb116xYYV6GhoXp6ejAMM5lMe3v7rKwsFosVHh7u4uISEhISHBz8yy+/9Pf30+n0vLw8JycnU1NTCwsLMplMp9PBMjS4U1NTA8YP0hFwEhgYCKYCGIZnZ2dlZGSQ8bwr5bd0ia45XmBpAr0X2MXNZDKlpKSqqqqOwb2oVKqiomJqaip756ivr3///j0ywwKAAPcaGRkxMzPr6+sDei9bW9uTcK+3b99K4F46Ojqgal1d3Xfv3qHca+9IVVRUBNtLeTyen59faGjokfRe4+PjP/zwA+DuS0tLT58+BXovTU3NsbExMBhiY2O7urqIRKK2tvbS0hLQPpqZmdXV1YlzL2Sf42G4F9hX6+fnZ2FhsYt7PXnypK6uDmhAf/75Z9BllHsh9l5mZmYFBQUCgWBrays4ODgkJGRmZubSpUttbW0wDNPpdB0dnaKiIgKBoK6uvm30yWaz19bWvL29p6enc3NzHRwcVlZW9g4kcAfRez1+/DgrKwsMgIqKipSUFECPkPe9l5dXcHBwW1vb8+fPQYEzMzO6urqAe5mYmOy1tZfMvbBYLB6PB82Qlpbu6OiAYVice/n7+wPFJ2ClKPcCe5v4fD5Qf/b09Fy6dIlCocAwLBQKrays3N3dW1paXr16NTMzA8Pw2tratkUgWNkvLCxUUVHx9vZOTEzclwwBDnT79m2gSAsNDdXX1xfnXi0tLfLy8n19fUtLSz09Pb///ntvb+/Q0BCJRKLRaCMjIw4ODvb29kNDQy0tLQsLC2NjY6GhodbW1ggRFB+EWVlZz5494/F4MAwDswSUe4njg56fOwTodPp//vMfGxub7u5uHA53584dDodzDO61uLiYlZV1/fr1mpoaEomkrq4O9ExghgXdBtyLxWIFBATY2dmNjo5mZmb+/PPPgHuZmZk5OTnR6XTxGfazei+Ue51wSAG76YaGBgKBoKKi0tbWBkHQ4fVeQqFQR0fH2Ni4t7cXfLySSCQqlWpkZOTv7z86OhodHS0nJzc2NkYkEmVlZb29vcfHxwMCAszNzRcWFrq7u3/++efJyUkymYxyrxOKclf2g/RepqamCgoKHR0dpaWl6urqNTU1S0tLly5dUldX7+rq2jakU1VVXVhYWFtbe/LkSXh4+PDwsLu7+7Vr1zY3Nw/PvfLz85WVlRsbGxsaGuTlSoBWyQAABehJREFU5ZOTk/flXmw228jIyM7ODtgLXrp0qbi4WCgUWlpa+vv7M5lM8X2O4jPDrs7SaDSUe+3CRPKlkZGRtLR0bW1tTU2NmpoaMMAyMDAwNzfv7e1NS0uTlZUdHR2lUqmGhoZv3rwZGBgwNzf//fffAfdiMBgyMjK3b99G1kz2Vjc7OyuBe3V2dkpJSVVXV/f19Zmbm//73//u6OhoaGjQ0NCor68fGRl58eKFv79/RUWFlpZWTU3NzMyMtbW1i4sLIFi7qtvc3Lx582ZsbGx3d7eRkdG//vWvfc3/d+W66Jeo3usCS3Bzc1NdXd3Pz09JScnU1BSM19raWm9v77W1NT8/v/Dw8Lm5OQcHh56enn372dXVZW9vv7y8DEFQSkrK06dPHz16FBUVBRx0RUREAIUTDMMhISH+/v5CoZBCoTg5Od25c8fY2NjU1BSYHTQ2Nj58+DAgICA3N3f7+wZsk9x2C+ng4HDQooCPj09qair4IHv27Nno6CgMw9vswdXVdW1tDY/HY7FY0GYsFgu0O5L7sm8Hv+2burq62dnZ6urqKioqxcXFYFHm9evXDTuHi4sLi8XKycnx8PA4CIetrS0XFxdFRUV/f38tLa3Ozk4IggYGBjAYzP3793V0dIBWlUgk6unpubq63r17187ObmxsDIZhNpttamqqq6tbWFhob28PdrEtLi56eHg0NjbuW2NPT4+lpSVY9oqKisLhcOBj2s3NjUgkwjBsYGAAfIy1trbeu3cPFJKSkhIZGfld2XthMJi8vDzk1wR+yzQazdTU1Nvb+/nz5+rq6uXl5QKBAOxzjIiIePr0qYGBQVdXl3Dn6O7uNjY2fvDggbm5OVCHlJaWbvNmYJ61r3Ryc3NDQkKYTCaPx4uPj3+ycyQkJMAwvLq66uvrC2QEwzCYGYRC4cTEBBgqGAxGRUWloqJCKBTW1NQ8evQoMzMzKCgIWC/AMIz0ZW/Vq6urfn5+YGseDMOPHj3q6+sDNn9GRkZ8Pj81NTUmJga8tgEyQAv+4sULCVvn9lb0zdxxdnaOj4/X0NB4/Phxfn4+m80GMnJxcVFQUHj9+jUwRQC/ZXNz84cPH757905fX7+3txeAYG9vb2RkJAEQKpWqoaEBVNSJiYkODg7AoNDf37+wsFAgEMTHxz969OjZs2fv3r3T0dEhEAhMJjM5OVlZWVlBQSEgIGDbIJjFYmVlZamqqt65c8fT0/Mg1818Pr+lpUVLS+vx48deXl6//fabBO2shDZfrEco97pY8vrKraXT6eXl5YODgywWa2JiwsrK6rvd5v2VJfFlqwceKySYCn3Z5nyntQHuRSQShUIhAgHgXsfwco6UcOyT1dXV7Ozsqampra2t9vZ2PT29jo6Og9awjl0LmvF0EWAymdPT08+fP6+qqjrdko9d2szMTFJS0vZ+DgaDUVBQoKCg8D1sX0W517EHzEXKuLy8HBoaGvDpERISctRldRaLlZ2dbWtr6+zsbGdn5+/v/1nlcE1NTWBg4Kc1Bxxki32RML04bWWxWGVlZbtEEBAQcPgdo0flXhQKJS4ubm+N+644XBwgv3JLT4t7MZnMvaJJSko6SC1xULe3trYiIiJsbGycnZ2tra1jYmIkKNVAIQUFBXurrqmpOagK9P6pI1BTU2NsbGxnZwe0ZbOzswkJCXuFchZqZhqNlpGRsbeu2dlZGxsbLBbr5ORkZmYGdjqfesfPW4Eo9zpvEjmT9mxubpaVlRV/epSVlX12rtzbGgaDMTAw0NbW1tPTAxYr96YRvzM4OPhptaIrsKYgngw9PzsEeDxeT0+PCPdPDwnWHvCnx9ra2ujo6OGZ0/LycnV19ae1ia6+h8/ZT5E7zSsulzs6Orq2tiauW+JyuWQy+UghWTkczl7R1NXVHWP9bmNjA7gB6+/vX19fF2/Yvj0nk8l7qx4YGNg3MXrzLBBYWlrq6uoC+2bASmVtbe1eoSBbJk+xDXQ6vampaW9dbDZ7cXGxq6urvb19dHT0O9nR/P8J36AJl1w54AAAAABJRU5ErkJggg=="
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![image.png](attachment:image.png)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "origin = df.pop('origin')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0      1\n",
       "1      1\n",
       "2      1\n",
       "3      1\n",
       "4      1\n",
       "      ..\n",
       "393    1\n",
       "394    2\n",
       "395    1\n",
       "396    1\n",
       "397    1\n",
       "Name: origin, Length: 398, dtype: int64"
      ]
     },
     "execution_count": 60,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "origin"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [],
   "source": [
    "df['UK'] = ( origin == 1 ) * 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {},
   "outputs": [],
   "source": [
    "df['Europe'] = ( origin == 2 ) * 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {},
   "outputs": [],
   "source": [
    "df['USA'] = ( origin == 3 ) * 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>mpg</th>\n",
       "      <th>cylinders</th>\n",
       "      <th>displacement</th>\n",
       "      <th>horsepower</th>\n",
       "      <th>weight</th>\n",
       "      <th>acceleration</th>\n",
       "      <th>model year</th>\n",
       "      <th>UK</th>\n",
       "      <th>Europe</th>\n",
       "      <th>USA</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>18.0</td>\n",
       "      <td>8</td>\n",
       "      <td>307.0</td>\n",
       "      <td>130</td>\n",
       "      <td>3504</td>\n",
       "      <td>12.0</td>\n",
       "      <td>70</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>15.0</td>\n",
       "      <td>8</td>\n",
       "      <td>350.0</td>\n",
       "      <td>165</td>\n",
       "      <td>3693</td>\n",
       "      <td>11.5</td>\n",
       "      <td>70</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>18.0</td>\n",
       "      <td>8</td>\n",
       "      <td>318.0</td>\n",
       "      <td>150</td>\n",
       "      <td>3436</td>\n",
       "      <td>11.0</td>\n",
       "      <td>70</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>16.0</td>\n",
       "      <td>8</td>\n",
       "      <td>304.0</td>\n",
       "      <td>150</td>\n",
       "      <td>3433</td>\n",
       "      <td>12.0</td>\n",
       "      <td>70</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>17.0</td>\n",
       "      <td>8</td>\n",
       "      <td>302.0</td>\n",
       "      <td>140</td>\n",
       "      <td>3449</td>\n",
       "      <td>10.5</td>\n",
       "      <td>70</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>393</th>\n",
       "      <td>27.0</td>\n",
       "      <td>4</td>\n",
       "      <td>140.0</td>\n",
       "      <td>86</td>\n",
       "      <td>2790</td>\n",
       "      <td>15.6</td>\n",
       "      <td>82</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>394</th>\n",
       "      <td>44.0</td>\n",
       "      <td>4</td>\n",
       "      <td>97.0</td>\n",
       "      <td>52</td>\n",
       "      <td>2130</td>\n",
       "      <td>24.6</td>\n",
       "      <td>82</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>395</th>\n",
       "      <td>32.0</td>\n",
       "      <td>4</td>\n",
       "      <td>135.0</td>\n",
       "      <td>84</td>\n",
       "      <td>2295</td>\n",
       "      <td>11.6</td>\n",
       "      <td>82</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>396</th>\n",
       "      <td>28.0</td>\n",
       "      <td>4</td>\n",
       "      <td>120.0</td>\n",
       "      <td>79</td>\n",
       "      <td>2625</td>\n",
       "      <td>18.6</td>\n",
       "      <td>82</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>397</th>\n",
       "      <td>31.0</td>\n",
       "      <td>4</td>\n",
       "      <td>119.0</td>\n",
       "      <td>82</td>\n",
       "      <td>2720</td>\n",
       "      <td>19.4</td>\n",
       "      <td>82</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>398 rows × 10 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      mpg  cylinders  displacement  horsepower  weight  acceleration  \\\n",
       "0    18.0          8         307.0         130    3504          12.0   \n",
       "1    15.0          8         350.0         165    3693          11.5   \n",
       "2    18.0          8         318.0         150    3436          11.0   \n",
       "3    16.0          8         304.0         150    3433          12.0   \n",
       "4    17.0          8         302.0         140    3449          10.5   \n",
       "..    ...        ...           ...         ...     ...           ...   \n",
       "393  27.0          4         140.0          86    2790          15.6   \n",
       "394  44.0          4          97.0          52    2130          24.6   \n",
       "395  32.0          4         135.0          84    2295          11.6   \n",
       "396  28.0          4         120.0          79    2625          18.6   \n",
       "397  31.0          4         119.0          82    2720          19.4   \n",
       "\n",
       "     model year  UK  Europe  USA  \n",
       "0            70   1       0    0  \n",
       "1            70   1       0    0  \n",
       "2            70   1       0    0  \n",
       "3            70   1       0    0  \n",
       "4            70   1       0    0  \n",
       "..          ...  ..     ...  ...  \n",
       "393          82   1       0    0  \n",
       "394          82   0       1    0  \n",
       "395          82   1       0    0  \n",
       "396          82   1       0    0  \n",
       "397          82   1       0    0  \n",
       "\n",
       "[398 rows x 10 columns]"
      ]
     },
     "execution_count": 73,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>count</th>\n",
       "      <th>mean</th>\n",
       "      <th>std</th>\n",
       "      <th>min</th>\n",
       "      <th>25%</th>\n",
       "      <th>50%</th>\n",
       "      <th>75%</th>\n",
       "      <th>max</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>mpg</th>\n",
       "      <td>398.0</td>\n",
       "      <td>23.514573</td>\n",
       "      <td>7.815984</td>\n",
       "      <td>9.0</td>\n",
       "      <td>17.500</td>\n",
       "      <td>23.0</td>\n",
       "      <td>29.000</td>\n",
       "      <td>46.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>cylinders</th>\n",
       "      <td>398.0</td>\n",
       "      <td>5.454774</td>\n",
       "      <td>1.701004</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.000</td>\n",
       "      <td>4.0</td>\n",
       "      <td>8.000</td>\n",
       "      <td>8.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>displacement</th>\n",
       "      <td>398.0</td>\n",
       "      <td>193.425879</td>\n",
       "      <td>104.269838</td>\n",
       "      <td>68.0</td>\n",
       "      <td>104.250</td>\n",
       "      <td>148.5</td>\n",
       "      <td>262.000</td>\n",
       "      <td>455.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>horsepower</th>\n",
       "      <td>398.0</td>\n",
       "      <td>102.894472</td>\n",
       "      <td>40.269544</td>\n",
       "      <td>0.0</td>\n",
       "      <td>75.000</td>\n",
       "      <td>92.0</td>\n",
       "      <td>125.000</td>\n",
       "      <td>230.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>weight</th>\n",
       "      <td>398.0</td>\n",
       "      <td>2970.424623</td>\n",
       "      <td>846.841774</td>\n",
       "      <td>1613.0</td>\n",
       "      <td>2223.750</td>\n",
       "      <td>2803.5</td>\n",
       "      <td>3608.000</td>\n",
       "      <td>5140.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>acceleration</th>\n",
       "      <td>398.0</td>\n",
       "      <td>15.568090</td>\n",
       "      <td>2.757689</td>\n",
       "      <td>8.0</td>\n",
       "      <td>13.825</td>\n",
       "      <td>15.5</td>\n",
       "      <td>17.175</td>\n",
       "      <td>24.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>model year</th>\n",
       "      <td>398.0</td>\n",
       "      <td>76.010050</td>\n",
       "      <td>3.697627</td>\n",
       "      <td>70.0</td>\n",
       "      <td>73.000</td>\n",
       "      <td>76.0</td>\n",
       "      <td>79.000</td>\n",
       "      <td>82.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>UK</th>\n",
       "      <td>398.0</td>\n",
       "      <td>0.625628</td>\n",
       "      <td>0.484569</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.000</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Europe</th>\n",
       "      <td>398.0</td>\n",
       "      <td>0.175879</td>\n",
       "      <td>0.381197</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>USA</th>\n",
       "      <td>398.0</td>\n",
       "      <td>0.198492</td>\n",
       "      <td>0.399367</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              count         mean         std     min       25%     50%  \\\n",
       "mpg           398.0    23.514573    7.815984     9.0    17.500    23.0   \n",
       "cylinders     398.0     5.454774    1.701004     3.0     4.000     4.0   \n",
       "displacement  398.0   193.425879  104.269838    68.0   104.250   148.5   \n",
       "horsepower    398.0   102.894472   40.269544     0.0    75.000    92.0   \n",
       "weight        398.0  2970.424623  846.841774  1613.0  2223.750  2803.5   \n",
       "acceleration  398.0    15.568090    2.757689     8.0    13.825    15.5   \n",
       "model year    398.0    76.010050    3.697627    70.0    73.000    76.0   \n",
       "UK            398.0     0.625628    0.484569     0.0     0.000     1.0   \n",
       "Europe        398.0     0.175879    0.381197     0.0     0.000     0.0   \n",
       "USA           398.0     0.198492    0.399367     0.0     0.000     0.0   \n",
       "\n",
       "                   75%     max  \n",
       "mpg             29.000    46.6  \n",
       "cylinders        8.000     8.0  \n",
       "displacement   262.000   455.0  \n",
       "horsepower     125.000   230.0  \n",
       "weight        3608.000  5140.0  \n",
       "acceleration    17.175    24.8  \n",
       "model year      79.000    82.0  \n",
       "UK               1.000     1.0  \n",
       "Europe           0.000     1.0  \n",
       "USA              0.000     1.0  "
      ]
     },
     "execution_count": 75,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.describe().T"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "metadata": {},
   "outputs": [],
   "source": [
    "# ÖDEV: Bu tahminleme işlemini Lecture-14'te anlatılan regresyon modelleri için uygulayalım."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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