199 lines
116 KiB
Plaintext
199 lines
116 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Начало лабораторной\n",
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"\n",
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"Выгрузка данных из csv-файла в датафрейм"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 1,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Index(['id', 'name', 'est_diameter_min', 'est_diameter_max',\n",
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" 'relative_velocity', 'miss_distance', 'orbiting_body', 'sentry_object',\n",
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" 'absolute_magnitude', 'hazardous'],\n",
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" dtype='object')\n"
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]
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}
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],
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"source": [
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"import pandas as pd\n",
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"df = pd.read_csv(\".//static//csv//neo.csv\")\n",
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"print(df.columns)\n"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"#### Группированная столбчатая диаграмма: опасные и неопасные объекты\n",
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"\n",
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"Это столбчатая диаграмма, показывающая распределение объектов, классифицированных как \"опасные\" (hazardous=True) и \"неопасные\" (hazardous=False).\n",
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"Исходя из нее, мы можем увидеть долю потенциально опасных объектов среди всех ближайших к Земле объектов\n"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 5,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"image/png": 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",
|
||
"text/plain": [
|
||
"<Figure size 640x480 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
}
|
||
],
|
||
"source": [
|
||
"import pandas as pd\n",
|
||
"import seaborn as sns\n",
|
||
"import matplotlib.pyplot as plt\n",
|
||
"\n",
|
||
"# Загрузка данных\n",
|
||
"df = pd.read_csv(\".//static//csv//neo.csv\")\n",
|
||
"\n",
|
||
"# Отбор первых 15000 записей\n",
|
||
"df_subset = df.head(15000)\n",
|
||
"\n",
|
||
"# Создаем группированную столбчатую диаграмму для опасных и неопасных объектов\n",
|
||
"sns.countplot(x='hazardous', data=df_subset)\n",
|
||
"\n",
|
||
"# Настройка подписей и заголовков\n",
|
||
"plt.title('Распределение опасных и неопасных объектов (первые 15000)')\n",
|
||
"plt.xlabel('Опасный объект')\n",
|
||
"plt.ylabel('Количество объектов')\n",
|
||
"\n",
|
||
"# Отображение диаграммы\n",
|
||
"plt.show()\n"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"#### Коробчатая диаграмма: Сравнение скорости и дистанции (relative_velocity, miss_distance)\n",
|
||
"\n",
|
||
"Это диаграмма, показывающая медиану, квартилы и выбросы для относительной скорости и минимального расстояния до Земли. Использование relative_velocity и miss_distance в одной диаграмме покажет, как сильно варьируются данные, и выделит потенциальные \"быстрые\" объекты, которые проходят близко к Земле."
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 4,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"image/png": 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",
|
||
"text/plain": [
|
||
"<Figure size 1000x600 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
}
|
||
],
|
||
"source": [
|
||
"# Импорт библиотек\n",
|
||
"import pandas as pd\n",
|
||
"import seaborn as sns\n",
|
||
"import matplotlib.pyplot as plt\n",
|
||
"\n",
|
||
"# Загрузка данных\n",
|
||
"df = pd.read_csv(\".//static//csv//neo.csv\")\n",
|
||
"\n",
|
||
"# Отбор первых 15000 записей\n",
|
||
"df_subset = df[['relative_velocity', 'miss_distance']].head(15000)\n",
|
||
"\n",
|
||
"# Создание боксплота для сравнения relative_velocity и miss_distance\n",
|
||
"plt.figure(figsize=(10, 6))\n",
|
||
"sns.boxplot(data=df_subset)\n",
|
||
"plt.title(\"Boxplot: Сравнение относительной скорости и минимального расстояния до Земли (первые 15000 записей)\")\n",
|
||
"plt.ylabel(\"Значение\")\n",
|
||
"plt.xticks([0, 1], ['Relative Velocity', 'Miss Distance'])\n",
|
||
"plt.show()"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"#### Точечная диаграмма: Взаимосвязь между абсолютной магнитудой и минимальным диаметром (absolute_magnitude vs. est_diameter_min)\n",
|
||
"\n",
|
||
"Это диаграмма, показывающая взаимосвязь между абсолютной магнитудой объектов (которая часто связана с их яркостью) и их минимальными размерами.\n",
|
||
"С помощью нее можно сделать вывод, что большинство объектов — это небольшие тела с относительно высокой абсолютной магнитудой (менее яркие), но встречаются и исключения — более крупные объекты с малой абсолютной магнитудой (яркие)."
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 6,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"image/png": 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bPqakpOjqq6+WJKemkrfeeqsmTZqkkSNHOsz74YcfNGrUKE2aNEm33HJLufstqdLnaNCgQcrPz3doprhgwQIVFRU5nN0si9lsth1DxcXFSk1NVXBwsBo3bux0DHp7ezv8qibJ9su89ThZsmSJLBaLnnrqKadj03qcfPfddyooKNDYsWMdlrnnnnsUGhpq25ZVQUGBrdbK5OTkKCUlRZ9//rnCwsI0bNgwh/rHjh2r/Px8fffdd5VuqyzWs8jWm33zWankOfz222/Vr18/NWjQwDa9du3auv3227VmzRplZGSUue3XXntNqampmjRpkls1ufpel6SAgADb/7Ozs5WSkqIrr7xShmFo48aNbj2u9Pf7zv5W2a+sBw8e1MyZMzVx4kSXmj6Vxd1jPi8vr9L30f/93//J29tb999/v8P08ePHyzCMcnswPdP9Od31a9Wqpeuvv972uZWTk6OPP/64zM+t0lw51kq/rpX13GcYhiZMmKABAwaUe7bUnZrd+WySZOv4xBWuHKvuHNvW76jU1NQymx+XxZ3vnYq4+j1R2rRp0xQWFuZ0vEvuf04MGzZM8+fPtzU5nzNnjm666SaFhYU5LLdo0SJZLBbdeuutDs9rXFycGjVq5PT96aoOHTqoXbt2tvt169ZV37599c0336i4uPi0Ppfd+VxFxQhJF5jLLrtMPXr0UI8ePXTHHXfoyy+/VLNmzTRmzBjbH3RWPXv2VFxcnHr06KGmTZtqwYIFDvPfe+89tWrVSv7+/oqKilJMTIy+/PJLpaenl/v4jz32mDp37lxhm+WYmBhdf/31mj17tiRp9uzZGjx4sNMfrtZmDtZmcPaaNGlim//HH39Iku3UdWViYmIUExOjZs2a6bvvvtO8efOUkJBgm9+hQwcdOnTI1hlASkpKufs8d+5c27a+//57LVu2zKlp2rfffquYmBhFR0fL399fl1xyidM1MBUZOnSovv76ax0+fFgrV67U4cOHdeuttzott3v3bm3bts22f9bbxRdfLKnkAvzSjh49qsLCQt188806cOCADhw4oJtvvlmFhYVlLm+VkpIiSU5fNKU1adJEl156qUOnIfPmzdMVV1zhcA1JWSwWi1588UU1atRIZrNZ0dHRiomJ0ebNmx1eD5PJpPj4eIWGhjqs37hxY3l5edna2+/Zs0deXl5q1qxZuY9Z3jHn5+enBg0aODW9sV6n5MofkC+88IJiYmL07bffqkGDBk7N9qwX19tfH+COHj16OLzupffh+PHjysnJKfP91LRpU1ksFoe291bp6el69tlnNW7cONWqVcutmlx9r0vSvn37NGTIEEVGRio4OFgxMTG66qqrbDW4y/q+s7/NmjWrwnUmTZqk+Ph4/fOf/3T78azcOeaLi4uVlpZW6fvor7/+Unx8vFOTQusxU14ztjPdnzNZf+jQobY/ThcuXKiIiAjbDzblceVYy87Odnpd7X9wKMu8efO0bds2pybTp1uzq59NVmlpaS59RtjvW0BAgOrWrauXX37ZaTl3ju1Zs2bZvn8CAgLUpUsXl65ZcfV7pyKufk/Y27t3r9566y1NmTKlzHDl7ufE9ddfLx8fHy1dulTZ2dnlBt/du3fLMAxbBzX2tx07dlT4fViRRo0aOU27+OKLlZOTo+PHj5/W57I7n6uoGNckXeC8vLzUrVs3vfzyy9q9e7eaN29umzdz5kylpKRo+/btmj59ukaMGKEPPvhAUsnFi0OGDFG/fv308MMPKzY2Vt7e3po+fbr27NlT5mN9++23+u677yq8GN9q2LBhGjRokO677z6tWrVK7777rlOnB9XF2h46Oztbn376qW699VZ98cUXuuaaayRJDz74oHbt2qVp06ZpypQpFW6rT58+SkpK0rFjx/Tmm2/qH//4h9asWaP69evblrn88sv19NNPS5IOHTqk5557Tv3799e2bdsclitP69at1bp1a/33v//Vjh07NGDAAKdAIJV8cbds2VL/+c9/ytyOfRCUSs76vfXWW3r55Ze1YMEC/fjjj5Kkjh076tZbb9WDDz5ou8anNOsf8q7UP2jQID3wwAM6cOCA8vPz9dNPP+nVV1+tdL1nn31WEydO1LBhwzRt2jRFRkbKy8tLY8eOdfhF1P6XxbPtyJEjkqS4uLhKl73rrrs0aNAgjRw5slpqee2112yBWCq5rrAqBtN97rnn5OXlpYcfflipqalur+/Ke724uFjXXHONTpw4oUcffVRNmjRRUFCQDh48qCFDhrj8C7g9+/ed1auvvqqlS5eWufyOHTs0d+5cffDBB2Ved+YOV4/5ffv2yWKxuPQ+cteZ7s+Zrn/99dfLz89PS5Ys0Zw5c1z6I86VY83f39927azV6tWrNXXq1DKXLygo0MSJEzV8+HCH98eZ1OzqZ5PVkSNHyr2us7x9y8zM1OzZszV27FjVrl3bIaC4c2z37dtXY8aMkWEY2rt3r6ZOnaobbrhBu3fvrrAWV793KuLO94TVE088oUaNGmnw4MFV8jnh6+urO++8U3PmzFFOTo6ioqJ09dVXO1xjKJV8f5pMJn311Vfy9vZ22s7pnlmuLp78G+p8QkiCrYlXVlaWw3TrhZS9e/dWbGysBg0apCeeeEJNmzbVJ598ogYNGmjRokUOTdbKawJhGIYee+wx9e/f36HpWnl69+4tf39/3XbbberUqZMaNmzo9Aa3fqlYe+Ozt2vXLtt86ynqrVu3Vvq4Uskv7lZ9+/bVzz//rH/961+2kBQQEKB33nlHGzduVFhYmCZNmqTff/9dDz30kNO2LrroIl100UWSSsYiiY6O1htvvKHnnnvOtkx0dLTDYyYlJaljx45atWqVy18ew4YN04svvqgjR444/YFg1bBhQ/3+++/q3r17mc0M7VksFo0cOVLt27fXmDFjNHDgQFtnHEuWLFFkZKQ++OADjRo1SuvWrXP6Q2H9+vWKi4tTnTp1Kq39tttu07hx4/Thhx8qNzdXvr6++sc//lHpep988om6devm9AtpWlqaoqOjbfcTExP17bffKjMz0+GX9v/9738Of4A2bNhQFotF27dvL7fjEftjzr7pQ0FBgfbu3evwOkrS9u3bZTKZyvwVsLQGDRqoR48euvjii7V27VoVFhY6/PG5c+dOSe79QWHvsssuc2jqaf0V1yomJkaBgYHatWuX07o7d+6Ul5eXU5A+dOiQXn75ZU2fPl0hISGnFZJcea9v2bJF//vf//Tee+9p0KBBtumuXOBdntLvO0ll9mRpNWHCBLVp08alY7Myrh7z1l/0SzfRLa1evXr67rvvnI5x6zFT1h/gZ7o/Z7q+j4+P7rrrLj3zzDPatm2b7Vfv8rh6rHl7ezu9rmX1PGn1+uuv69ixY0499p1Jza5+NkklTeOSk5PVq1evSh+/9L5df/31ioyM1Ndff+0Qktw5tuvUqeOwbHBwsO644w6XmrC68r1TEXe+J6SSHt4++ugjLVmypMygcrqfE8OGDVPr1q21f/9+DR48uMzvx4YNG8owDCUmJlYapt1RVhj93//+p8DAQNuQCu5+Lkuufa6icpx7u8AVFhbq22+/lZ+fX4VjZVj/oLK227V+QBl23cv+/PPP5Z4l+uijj7R582aXe0Hy8fHRoEGDtHnz5nKbSrRv316xsbF68803Hbqw/uqrr7Rjxw5df/31kkr++OvSpYtmz56tffv2OWzDvv6yFBcXq6CgwGH7UskfCPv27dMHH3ygHj16lHk2pbT09PQyt1Wa9deusr4EynP77bfr4MGDio2NLbcb3ltvvVUHDx4ss2fB3NxcZWdn2+6//fbb2rBhg9544w15eXkpJiZGjRo1UqNGjRQdHS0vLy+98cYbWr9+vdP2UlNTtXz5ct14440u1R4dHa3evXvrgw8+0Lx589SrVy+nPyTK4u3t7fT6LVy40Kn79+uuu07FxcVOv9Rbz6hZj5N+/frJy8tLU6dOdfrF0fo4PXr0kJ+fn1555RWHx541a5bS09Nt25JKfnz49NNPddlll7n1K2OvXr2Unp7u0LWxxWLRyy+/LLPZ7PTHT1Xx9vbWtddeq6VLlzo06Tt69Kjmz5+vTp06Of1SPGXKFNWqVUsjRow47cd15b1e1ueNYRhlNjWqDuvWrdPSpUs1Y8aMSn9gcIWrx/zChQsVHh5uay5UnvKO8RdffFEmk0m9e/eu0v2pqudj2LBh2rJli7p06eLwo0NZquJYKy0zM1PPPPOMHnzwQZfO9kqu1ezqZ5MkLV26VLm5uZU2NSyL9THc+a6ojDvfP65875TH3e8JqaS5fseOHctd53Q/J5o3b6527dpp+/btDsOS2Lvpppvk7e2tKVOmOL22hmGc1g9EUsl7yf46tf3792vp0qW69tpr5e3tfVqfy5Jrn6uoHGeSLjBfffWV7dfFY8eOaf78+dq9e7cee+wx2xtt6tSpOnjwoFq0aCGz2azffvtNc+bMUatWrdSqVStJ0g033KBFixapf//+uv7667V37169+eabatasmdMZKamkqd0999zj0i/qVtOmTdPDDz9c7gCgvr6+eu655zR06FBdddVVGjhwoK0L8Pr16ztcqP/KK6+oU6dOuuSSS3TvvfcqMTFRf/75p7788ktt2rTJYbvWJoXZ2dlasmSJ/vzzT4duX7/77ju9+OKLev/998ttIrFlyxaNHz9eV199tWJjY3Xo0CHNnj1bFotFAwcOdFj2+PHj+vrrryVJhw8f1nPPPaewsDB169bN5ecqIiJChw8flre3d7l/tNx11136+OOPNWLECC1fvlwdO3ZUcXGxdu7cqY8//ljffPON2rdvr+PHj+vxxx/XyJEjdckll5T7mO3atdOIESP0+OOPa8CAAYqOjta6dev02GOPKTc3VzExMbbnUir5dUwqeX779++voKAg27xBgwbp5ptvllTyurvihhtu0NSpUzV06FBdeeWV2rJli+bNm+f0h8t1112nHj166IknntDevXvVpk0b/fDDD/r00081YsQI27VqSUlJeuKJJzRt2jR17txZN910k8xms3799VfFx8dr+vTpiomJ0YQJEzRlyhT16tVLN954o3bt2qXXX39dl156qe3C+++++04TJ07U5s2b3f6F9e6779abb76pUaNGacuWLWrcuLGWLl2qZcuWafr06YqKinJre+54+umntWzZMnXq1EmjRo2Sj4+P3nrrLeXn5+v55593Wv7bb7/VvHnzbJ24nK7K3utNmjRRw4YN9dBDD+ngwYMKDQ3Vp59+qpMnT57R47rq22+/1TXXXFOlAbWiY/7o0aN65ZVXtHDhQnXp0kWffvqpbd7evXsllfxxdckll6hVq1bq06ePunXrpieeeEJ//vmnWrdurW+//VZLly7V2LFjnbqDP9P9qarno2nTpkpJSXGpSWxVHWv2fvvtN0VHR+uRRx5xeR1XanblsyknJ0eTJk3S66+/riuvvNI2xEBFiouLbd8VmZmZmjNnjrKzs9WvXz+X6y9t3759+vrrr23N7Z555hnVq1dPbdu2rbTJnSvfO2U53e+Jb7/9VmvXri13u2fyOfHDDz8oPz9fkZGRZc5v2LChnn76advQEf369VNISIj27t2rxYsX69577y2zNUllWrRooZ49ezp0AS7JoSm/u5/LVpV9rsIFZ7MrPXhOWV2A+/v7G23atDHeeOMNh66wP/nkE+PSSy81QkNDjYCAACMpKckYP368cfz4cdsyFovFePbZZ4169eoZZrPZaNu2rfHFF184dX1r7QIzICDAOHjwoENN9erVK7ML8PK6pyxv/oIFC4y2bdsaZrPZiIyMNO644w7jwIEDTutv3brV6N+/vxEeHm74+/sbjRs3NiZOnGibb+1m1HoLCAgwmjVrZrz44ou25yclJcWIj483Bg4c6LDt0l2AHzp0yLjxxhuNWrVqGb6+vkbt2rWNG264wVizZo3Tc2D/mNHR0ca1115r/PTTT2U+B6XXrair1bLmFxQUGM8995zRvHlzw2w2GxEREUa7du2MKVOmGOnp6YZhGMbQoUON2NhY4+TJkw7rlu4y1zBKun2PjY01hg4dahhGSbeqpY+zsm72XcoahmHk5+cbERERRlhYmEPX6hXJy8szxo8fb9SuXdsICAgwOnbsaKxbt67MOrOysowHH3zQiI+PN3x9fY2kpCRjxowZTt30GoZhzJ4923Y8RUREGFdddZWxbNkyh2VeffVVo0mTJoavr69Rq1YtY+TIkQ7P13333Wd06dLF+Prrr522X1kX4IZhGEePHjWGDh1qREdHG35+fkbz5s2Nt99+u9znoqq6ADcMw/jtt9+Mnj17GsHBwUZgYKDRrVs348cffyxzm23atHH47Kisy9vKaqpo/vbt240ePXoYwcHBRnR0tHHPPfcYv//+u8vdQNtzt5tkk8lkbNiwwWF6WceZfQ3ldQFuVdExb/08qexm/9plZmY6HOONGjUyXnjhBYfX53T3p6rXr6jb6dLz3TnW3O0CXJLx4osvOixb3vvTnZpd+Ww6cOCAkZCQYIwdO9b22Vt6m6W7ALd/7YODg41LLrnEeP/99x3Wc/fYtt5MJpMRFxdn3HTTTcaOHTsMwyi/C3B3v3dKc/d7wvqa9O3b12E71veJ/etaVZ8T5c3/9NNPjU6dOhlBQUFGUFCQ0aRJE2P06NHGrl27nJZ1pQvw0aNHGx988IHRqFEj299S9vtj5c7nsrt/Q6F8JsOopL0RALjI2lTBvqlYaSaTSXv37nW4tqaoqEjx8fHq06dPpT2MAeeDio75FStWqFu3bhU2Bx4yZIjq16/v0rU0QE1yut8T5xuTyaTRo0e71FERPINrkgB43JIlS3T8+HGHi22B8xnHPADUbFyTBKDKXHnllZUuc8cdd9g6Mvj555+1efNmTZs2TW3btq30AnXgXOfKMV+rVi3dcccdFW7nyiuvdKmDE6Cmcfd7AvAUmtsB8JghQ4bogw8+UJs2bTR37lyXB/wFzlUc8wAkmtudCwhJAAAAAGCHa5IAAAAAwA4hCQAAAADsnPcdN1gsFh06dEghISFVMlI6AAAAgHOTYRjKzMxUfHy8vLzKP1903oekQ4cOKSEhwdNlAAAAAKgh9u/frzp16pQ7/7wPSSEhIZJKnojQ0FAPVwMAAADAUzIyMpSQkGDLCOU570OStYldaGgoIQkAAABApZfh0HEDAAAAANghJAEAAACAHUISAAAAANghJAEAAACAHUISAAAAANghJAEAAACAHUISAAAAANghJAEAAACAHUISAAAAANghJAEAAACAHUISAAAAANghJAEAAACAHUISAAAAANghJAEAAACAHR9PF3ChSM8pUEpWgTLyChUa4KvoID+FBfp5uiwAAAAApRCSzoJDabl69NPNWr07xTatS6NozRjQSvHhAR6sDAAAAEBpNLerZuk5BU4BSZJW7U7RY59uVnpOgYcqAwAAAFAWQlI1S8kqcApIVqt2pygli5AEAAAA1CSEpGqWkVdY4fzMSuYDAAAAOLsISdUs1N+3wvkhlcwHAAAAcHYRkqpZdLCfujSKLnNel0bRig6mhzsAAACgJiEkVbOwQD/NGNDKKSh1aRSt5wa0ohtwAAAAoIahC/CzID48QDMHtlVKVoEy8woV4u+r6GDGSQIAAABqIkLSWRIWSCgCAAAAzgU0twMAAAAAO4QkAAAAALBDSAIAAAAAO4QkAAAAALBDSAIAAAAAO4QkAAAAALBDSAIAAAAAO4QkAAAAALBDSAIAAAAAO4QkAAAAALBDSAIAAAAAO4QkAAAAALBDSAIAAAAAO4QkAAAAALBDSAIAAAAAO4QkAAAAALBDSAIAAAAAO4QkAAAAALBDSAIAAAAAO4QkAAAAALBDSAIAAAAAO4QkAAAAALDj0ZD0xhtvqFWrVgoNDVVoaKg6dOigr776yja/a9euMplMDrcRI0Z4sGIAAAAA5zsfTz54nTp1NGPGDDVq1EiGYei9995T3759tXHjRjVv3lySdM8992jq1Km2dQIDAz1VLgAAAIALgEdDUp8+fRzuP/PMM3rjjTf0008/2UJSYGCg4uLiPFEeAAAAgAtQjbkmqbi4WB999JGys7PVoUMH2/R58+YpOjpaLVq00IQJE5STk1PhdvLz85WRkeFwAwAAAABXefRMkiRt2bJFHTp0UF5enoKDg7V48WI1a9ZMknT77berXr16io+P1+bNm/Xoo49q165dWrRoUbnbmz59uqZMmXK2ygcAAABwnjEZhmF4soCCggLt27dP6enp+uSTT/Tuu+9q5cqVtqBk74cfflD37t2VnJyshg0blrm9/Px85efn2+5nZGQoISFB6enpCg0Nrbb9AAAAAFCzZWRkKCwsrNJs4PGQVFqPHj3UsGFDvfXWW07zsrOzFRwcrK+//lo9e/Z0aXuuPhEAAAAAzm+uZoMac02SlcVicTgTZG/Tpk2SpNq1a5/FigAAAABcSDx6TdKECRPUu3dv1a1bV5mZmZo/f75WrFihb775Rnv27NH8+fN13XXXKSoqSps3b9aDDz6oLl26qFWrVp4sGwAAAMB5zKMh6dixYxo0aJAOHz6ssLAwtWrVSt98842uueYa7d+/X999951eeuklZWdnKyEhQQMGDNCTTz7pyZIBAAAAnOdq3DVJVY1rkgAAAABI5/A1SQAAAADgSYQkAAAAALBDSAIAAAAAO4QkAAAAALBDSAIAAAAAO4QkAAAAALBDSAIAAAAAO4QkAAAAALBDSAIAAAAAO4QkAAAAALBDSAIAAAAAO4QkAAAAALBDSAIAAAAAO4QkAAAAALBDSAIAAAAAO4QkAAAAALBDSAIAAAAAO4QkAAAAALBDSAIAAAAAO4QkAAAAALBDSAIAAAAAO4QkAAAAALBDSAIAAAAAO4QkAAAAALBDSAIAAAAAO4QkAAAAALBDSAIAAAAAO4QkAAAAALBDSAIAAAAAO4QkAAAAALBDSAIAAAAAO4QkAAAAALBDSAIAAAAAO4QkAAAAALBDSAIAAAAAO4QkAAAAALBDSAIAAAAAO4QkAAAAALBDSAIAAAAAO4QkAAAAALBDSAIAAAAAO4QkAAAAALBDSAIAAAAAO4QkAAAAALBDSAIAAAAAOx4NSW+88YZatWql0NBQhYaGqkOHDvrqq69s8/Py8jR69GhFRUUpODhYAwYM0NGjRz1YMQAAAIDznUdDUp06dTRjxgxt2LBB69ev19VXX62+fftq27ZtkqQHH3xQn3/+uRYuXKiVK1fq0KFDuummmzxZMgAAAIDznMkwDMPTRdiLjIzUCy+8oJtvvlkxMTGaP3++br75ZknSzp071bRpU61bt05XXHFFmevn5+crPz/fdj8jI0MJCQlKT09XaGjoWdkHAAAAADVPRkaGwsLCKs0GNeaapOLiYn300UfKzs5Whw4dtGHDBhUWFqpHjx62ZZo0aaK6detq3bp15W5n+vTpCgsLs90SEhLORvkAAAAAzhMeD0lbtmxRcHCwzGazRowYocWLF6tZs2Y6cuSI/Pz8FB4e7rB8rVq1dOTIkXK3N2HCBKWnp9tu+/fvr+Y9AAAAAHA+8fF0AY0bN9amTZuUnp6uTz75RIMHD9bKlStPe3tms1lms7kKKwQAAABwIfF4SPLz81NSUpIkqV27dvr111/18ssv6x//+IcKCgqUlpbmcDbp6NGjiouL81C1AAAAAM53Hm9uV5rFYlF+fr7atWsnX19fff/997Z5u3bt0r59+9ShQwcPVggAAADgfObRM0kTJkxQ7969VbduXWVmZmr+/PlasWKFvvnmG4WFhWn48OEaN26cIiMjFRoaqvvuu08dOnQot2c7AAAAADhTHg1Jx44d06BBg3T48GGFhYWpVatW+uabb3TNNddIkl588UV5eXlpwIABys/PV8+ePfX66697smQAAAAA57kaN05SVXO1L3QAAAAA57dzbpwkAAAAAKgJCEkAAAAAYIeQBAAAAAB2CEkAAAAAYIeQBAAAAAB2CEkAAAAAYIeQBAAAAAB2CEkAAAAAYIeQBAAAAAB2CEkAAAAAYIeQBAAAAAB2CEkAAAAAYIeQBAAAAAB2CEkAAAAAYMfH3RX27t2r1atX66+//lJOTo5iYmLUtm1bdejQQf7+/tVRIwAAAACcNS6HpHnz5unll1/W+vXrVatWLcXHxysgIEAnTpzQnj175O/vrzvuuEOPPvqo6tWrV501AwAAAEC1cSkktW3bVn5+fhoyZIg+/fRTJSQkOMzPz8/XunXr9NFHH6l9+/Z6/fXXdcstt1RLwQAAAABQnUyGYRiVLfTNN9+oZ8+eLm0wNTVVf/75p9q1a3fGxVWFjIwMhYWFKT09XaGhoZ4uBwAAAICHuJoNXDqT5GpAkqSoqChFRUW5vDwAAAAA1CRud9ywb9++CufXrVv3tIsBAAAAAE9zOyTVr19fJpNJkmQYhtP/i4uLq7ZCAAAAADiL3A5JMTEx8vPz0/Dhw9WnTx/5+Li9CQAAAACosdweTPbgwYP6z3/+o7Vr16pv3776+OOPFRoaqtatW6t169bVUSMAAAAAnDVuhyQfHx/dcsstWrZsmVatWqXi4mJdcsklmjVrVnXUBwAAAABnldshySo3N1crV67UypUrFRUVpfr161dhWQAAAADgGW6HpE2bNmnUqFGqV6+evvrqK02bNk3Jycnq3r17ddQHAAAAAGeVS4PJ2vPy8lKdOnV01113qVatWk7z77///iorriowmCwAAAAAyfVs4HZIsu8C3GljJpP++OMP9yqtZoQkAAAAAJLr2cDt/rv//PPPM6kLAAAAAGq00+64oSzHjh2rys0BAAAAwFnndkh66qmnypw+b948NW/e/IwLAgAAAABPcru53dy5c5Wenq6XX35ZUsnZo3vvvVdr1qzRSy+9VNX1AQAAAMBZ5XZIWr16ta655hqlpaXpmmuu0QMPPKBOnTpp69atiouLq44aAQAAAOCscbt3O0k6cuSIrr32Wm3btk1vvfWW7r777uqorUrQux0AAAAAyfVscFodN8TFxWnVqlW6/PLLtWDBAuXm5p52oQAAAABQk7jd3C4iIsI2TlJhYaGys7MVGxsrX19fSdKJEyeqtkIAAAAAOIvcDkl0zgAAAADgfOZ2SBo8eHB11AEAAAAANYJL1yRlZ2e7tVF3lwcAAACAmsKlkJSUlKQZM2bo8OHD5S5jGIaWLVum3r1765VXXqmyAgEAAADgbHKpud2KFSv0+OOPa/LkyWrdurXat2+v+Ph4+fv76+TJk9q+fbvWrVsnHx8fTZgwQf/85z+ru24AAAAAqBZujZO0b98+LVy4UKtXr9Zff/2l3NxcRUdHq23bturZs6d69+4tb2/v6qzXbYyTBAAAAEByPRuc1mCy5xJCEgAAAACpmgeTBQAAAIDzlUdD0vTp03XppZcqJCREsbGx6tevn3bt2uWwTNeuXWUymRxuI0aM8FDFAAAAAM53Hg1JK1eu1OjRo/XTTz9p2bJlKiws1LXXXuvUhfg999yjw4cP227PP/+8hyoGAAAAcL5zezDZqvT111873J87d65iY2O1YcMGdenSxTY9MDBQcXFxZ7s8AAAAABegGnVNUnp6uiQpMjLSYfq8efMUHR2tFi1aaMKECcrJySl3G/n5+crIyHC4AQAAAICrTutM0smTJzVr1izt2LFDktS0aVMNGzbMKdy4w2KxaOzYserYsaNatGhhm3777berXr16io+P1+bNm/Xoo49q165dWrRoUZnbmT59uqZMmXLadQAAAAC4sLndBfiqVat04403KjQ0VO3bt5ckbdiwQWlpafr8888dmsm5Y+TIkfrqq6+0Zs0a1alTp9zlfvjhB3Xv3l3Jyclq2LCh0/z8/Hzl5+fb7mdkZCghIYEuwAEAAIALnKtdgLt9Jmn06NG69dZb9cYbb9gGji0uLtaoUaM0evRobdmyxe1ix4wZoy+++EKrVq2qMCBJ0uWXXy5J5YYks9kss9nsdg0AAAAAIJ3GNUnJyckaP368LSBJkre3t8aNG6fk5GS3tmUYhsaMGaPFixfrhx9+UGJiYqXrbNq0SZJUu3Zttx4LAAAAAFzh9pmkSy65RDt27FDjxo0dpu/YsUOtW7d2a1ujR4/W/PnztXTpUoWEhOjIkSOSpLCwMAUEBGjPnj2aP3++rrvuOkVFRWnz5s168MEH1aVLF7Vq1crd0gEAAACgUm5fk7RgwQI98sgjuu+++3TFFVdIkn766Se99tprmjFjhpo2bWpbtrIgYzKZypw+Z84cDRkyRPv379edd96prVu3Kjs7WwkJCerfv7+efPJJl68vcrXdIQAAAIDzm6vZwO2Q5OVVcQs9k8kkwzBkMplUXFzszqarBSEJAAAAgFSNHTfs3bv3jAoDAAAAgJrM7ZD0119/6corr5SPz2kNsQQAAAAANZrbvdt169ZNJ06cqI5aAAAAAMDj3A5Jbl7CBAAAAADnlNNqM7du3TpFRESUOa9Lly5nVBAAAAAAeNJphaT+/fuXOb2m9GgHAAAAAKfL7eZ2knTkyBFZLBanGwEJAAAAwLnO7ZBU3gCwAAAAAHA+oOMGAAAAALDj9jVJFoulOuoAAAAAgBrhtK5Jev/999WxY0fFx8frr7/+kiS99NJLWrp0aZUWh6pzKC1XOw5n6Oc/UrXzcIYOpeV6uiQAAACgRnI7JL3xxhsaN26crrvuOqWlpdk6awgPD9dLL71U1fWhCvyVmq2HP/ldvV9erX+8/ZN6vbxaj3zyu/5KzfZ0aQAAAECN43ZImjlzpt555x098cQT8vb2tk1v3769tmzZUqXF4cwdSsvV44u3aG1yqsP0NcmpemLxFs4oAQAAAKW4HZL27t2rtm3bOk03m83KzubMRE2TnlvoFJCs1iSnKj238CxXBAAAANRsboekxMREbdq0yWn6119/raZNm1ZFTahCGZWEoMw8QhIAAABgz+3e7caNG6fRo0crLy9PhmHol19+0Ycffqjp06fr3XffrY4acQZCA3wrnB/iX/F8AAAA4ELjdki6++67FRAQoCeffFI5OTm6/fbbFR8fr5dfflm33XZbddSIMxAW4KtOSVFaU0aTu05JUQqrJEQBAAAAFxqTcQajw+bk5CgrK0uxsbFVWVOVysjIUFhYmNLT0xUaGurpcjzir9RsPbF4i0NQ6pQUpWf6t1S9qCAPVgYAAACcPa5mA7fPJNkLDAxUYGDgmWwCZ0G9qCA9f3NrpecWKjOvUCH+vgoL8FV8eICnSwMAAABqHLdDUoMGDSqc/8cff5x2Mag+8eEBhCIAAADABW6HpD///FN16tTRXXfdVaOb2QEAAADA6XA7JG3atElvvfWW3n77bXXt2lX33nuvrrnmmuqoDQAAAADOOrfHSWrVqpVee+017du3T9ddd50mTpyopKQkLVu2rDrqAwAAAICzyu2QZBUQEKCrrrpK3bp1U0pKig4cOFCVdQEAAACAR7gdkoqKivTxxx+rR48e6tKli7y9vbVp0yYNHTq0OuoDAAAAgLPK7WuSLrroIpnNZg0bNkzPP/+8fHx8lJGRoc2bN0sqaY4HAAAAAOcqtweT9fL6++STyWSSJFk3YTKZVFxcXIXlnTkGkwUAAAAgVeNgsnv37j2jwgAAAACgJnM7JNWrV6866gAAAACAGsHtkGS1fft27du3TwUFBQ7Tb7zxxjMuCgAAAAA8xe2Q9Mcff6h///7asmWLTCaTw/VIkmrcNUkAAAAA4A63uwB/4IEHlJiYqGPHjikwMFDbtm3TqlWr1L59e61YsaIaSgQAAACAs8ftM0nr1q3TDz/8oOjoaHl5ecnLy0udOnXS9OnTdf/992vjxo3VUScAAAAAnBVun0kqLi5WSEiIJCk6OlqHDh2SVNKhw65du6q2OgAAAAA4y9w+k9SiRQv9/vvvSkxM1OWXX67nn39efn5+evvtt9WgQYPqqBEAAAAAzhq3Q9KTTz6p7OxsSdLUqVN1ww03qHPnzoqKitKCBQuqvEAAAAAAOJtMhrV7ujNw4sQJRURE2Hq4q0lcHVUXAAAAwPnN1Wxw2uMk2YuMjKyKzQAAAACAx7kdkm666aYK5y9atOi0iwEAAAAAT3M7JC1ZskQhISHq27evvL29q6MmAAAAAPAYt0PSsmXLNH78eG3YsEHPP/+8rr/++uqoCwAAAAA8wu1xkrp3766NGzfqoYce0j//+U/16NFDmzdvro7aAAAAAOCsczskSZLJZNLQoUO1e/dudenSRV26dNGwYcNsA8sCAAAAwLnK7S7AX3nlFadphw4d0muvvSZJyszMrJrKqghdgAMAAACQqrEL8BdffLHM6dHR0e5uStOnT9eiRYu0c+dOBQQE6Morr9Rzzz2nxo0b25bJy8vT+PHj9dFHHyk/P189e/bU66+/rlq1arn9eAAAAABQmSoZTPZ09erVS7fddpsuvfRSFRUV6fHHH9fWrVu1fft2BQUFSZJGjhypL7/8UnPnzlVYWJjGjBkjLy8vrV271qXH4EwSAAAAAMn1bFBlIckwDO3fv1+S5O3trYsuusjtbRw/flyxsbFauXKlunTpovT0dMXExGj+/Pm6+eabJUk7d+5U06ZNtW7dOl1xxRWVbpOQBAAAAECqxuZ25fVkl5qaqh49eqh169aKjo7Wt99+6+6mlZ6eLkmKjIyUJG3YsEGFhYXq0aOHbZkmTZqobt265Yak/Px85efn2+5nZGS4XQcAAACAC5fbIalNmzYymUyyPwFlvW8ymfTbb7+dViEWi0Vjx45Vx44d1aJFC0nSkSNH5Ofnp/DwcIdla9WqpSNHjpS5nenTp2vKlCmnVQMAAAAAuB2SJOnnn39WTEyMw7Rjx4651PytPKNHj9bWrVu1Zs2a096GJE2YMEHjxo2z3c/IyFBCQsIZbRMAAADAheO0QlLdunUVGxvrMM3f3/+0ixgzZoy++OILrVq1SnXq1LFNj4uLU0FBgdLS0hzOJh09elRxcXFlbstsNstsNp92LQAAAAAubKc1mOw333yjr776SmvXrj2jAWQNw9CYMWO0ePFi/fDDD0pMTHSY365dO/n6+ur777+3Tdu1a5f27dunDh06nPbjAgAAAEB5TutM0uDBg23/N5lMql+/vm655Ra3tzN69GjNnz9fS5cuVUhIiO06o7CwMAUEBCgsLEzDhw/XuHHjFBkZqdDQUN13333q0KHDGTXtAwAAAIDyuB2SLBaLJKmgoECpqan6448/tGLFCr3++utuP/gbb7whSeratavD9Dlz5mjIkCGSSgav9fLy0oABAxwGkwUAAACA6lBl4yRt2rRJl1xyiUwmk2rVqnVGzfCqEuMkAQAAAJCqcZyk8rRp08Z2lgkAAAAAzlWn1XEDAAAAAJyvCEkAAAAAYIeQBAAAAAB2CEkAAAAAYIeQBAAAAAB23O7dbty4cRXO/89//nPaxQAAAACAp7kUkv7v//5PPXr0kJ+fn1566SWFhISoXbt2Kj3EkslkqpYiAQAAAOBscam53QcffKBu3bpJkt555x0FBwfLx8dHr7zyipYvX267/fDDD9VaLAAAAABUN5dC0vvvv6/169fr6NGjGj58uHbv3q0OHTqoY8eOuueee3T06NHqrhMAAAAAzgqXQtK6devk7++vyMhISVJgYKCmTJmiXbt2qbi4WBdffLGmTp2q3Nzcai0WAAAAAKqbS9ckvfTSS1q6dKl8fX312WefOczr16+f6tWrpxdeeEFvv/22Dhw4UC2FAgAAAMDZYDJK975QCS+vik8+WSyWMyqoqmVkZCgsLEzp6ekKDQ31dDkAAAAAPMTVbOB2F+A1LQQBAAAAQFViMFkAAAAAsOP2maSpU6dWOP+pp5467WIAAAAAwNPcDkmLFy8ud57JZCIkAQAAADinuR2SNm7c6DStuLhY3t7eVVIQAAAAAHjSGV2TtHPnTrVq1Upms1nNmzfX1q1bq6ouAAAAAPCIMwpJDz30kGrXrq3PPvtMrVq10v33319VdQEAAACAR7jd3M7eb7/9pi+++EKXXHKJLrnkEjVp0qSq6gIAAAAAjzijM0mZmZkKDw+XJEVERCgzM7MqagIAAAAAj3H7TNJnn31m+7/FYtH333+vrVu3qrCwsEoLAwAAAABPMBmGYbizgpdX+SefTCaTiouLz7ioqpSRkaGwsDClp6crNDTU0+UAAAAA8BBXs4HbZ5IsFssZFQYAAAAANdkZXZMEAAAAAOcbt88kvfLKKxXOpxtwAAAAAOcyt69JSkxMtP1///79ql27tnx8SrKWyWTSH3/8UbUVniGuSQIAAAAgVeM1SXv37rX9PyQkRCtXrlSDBg1Or0oAAAAAqGG4JgkAAAAA7BCSAAAAAMCO283tNm/ebPu/YRjauXOnsrKybNNatWpVNZUBAAAAgAec1mCyJpNJ9qtZ7zOYLAAAAICa6qx03AAAAAAA5xu3Q1K9evWqow4AAAAAqBHOqOOGzMxM3X///erSpYtGjx6t9PT0qqoLAAAAADzijELS+PHj9fnnn+uKK67QqlWrdN9991VVXQAAAADgEW43t7P33XffadasWbr66qs1bNgwXXXVVVVVFwAAAAB4xBmdSUpJSVH9+vUlSYmJiUpJSamKmgAAAADAY9w+k5SRkeFwPysrSxkZGcrLy6uyogAAAADAU9wOSeHh4TKZTJJKBpNt27at7f/W6QAAAABwrnI7JC1fvrw66gAAAACAGsHtkETnDAAAAADOZ26HpM8++6zC+TfeeONpFwMAAAAAnuZ2SOrXr1+580wmk4qLi8+kHgAAAADwqNPqAvzw4cOyWCxON3cD0qpVq9SnTx/Fx8fLZDJpyZIlDvOHDBkik8nkcOvVq9fplAwAAAAALjmtkOTldUbDK9lkZ2erdevWeu2118pdplevXjp8+LDt9uGHH1bJYwMAAABAWdxubidJ77zzjiIiIhQUFKT4+Hi1adNG0dHRbm+nd+/e6t27d4XLmM1mxcXFubzN/Px85efn2+6XHtcJAAAAACridkiqW7eu3n77bRUWFiojI0PZ2dny8vLS9ddfr/fff1+hoaFVWuCKFSsUGxuriIgIXX311Xr66acVFRVV7vLTp0/XlClTqrQGAAAAABcOk2EYxplsIDMzU7/88ovGjBmjq666Sm+++ebpFWIyafHixQ4dQ3z00UcKDAxUYmKi9uzZo8cff1zBwcFat26dvL29y9xOWWeSEhISlJ6eXuUBDgAAAMC5IyMjQ2FhYZVmg9NqbmcvJCRE3bt31+uvv67hw4ef6eYc3Hbbbbb/t2zZUq1atVLDhg21YsUKde/evcx1zGazzGZzldYBAAAA4MJRNT0wSOrWrZv++OOPqtpcmRo0aKDo6GglJydX6+MAAAAAuHCd9pmknJwc7du3TwUFBQ7TW7VqdcZFlefAgQNKTU1V7dq1q+0xAAAAAFzY3A5Jx48f19ChQ/XVV1+VOd+dsZKysrIczgrt3btXmzZtUmRkpCIjIzVlyhQNGDBAcXFx2rNnjx555BElJSWpZ8+e7pYNAAAAAC5xu7nd2LFjlZaWpp9//lkBAQH6+uuv9d5776lRo0b67LPP3NrW+vXr1bZtW7Vt21aSNG7cOLVt21ZPPfWUvL29tXnzZt144426+OKLNXz4cLVr106rV6/mmiMAAAAA1cbt3u1q166tpUuX6rLLLlNoaKjWr1+viy++WJ999pmef/55rVmzprpqPS2u9mABAAAA4PzmajZw+0xSdna2YmNjJUkRERE6fvy4pJLe53777bfTLBcAAAAAaga3Q1Ljxo21a9cuSVLr1q311ltv6eDBg3rzzTfpUAEAAADAOc/tjhseeOABHT58WJI0adIk9erVS/PmzZOfn5/mzp1b1fUBAAAAwFnl9jVJpeXk5Gjnzp2qW7euoqOjq6quKsM1SQAAAAAk17PBaY+TZBUYGKhLLrnkTDcDAAAAADWC2yFp2LBhFc6fPXv2aRcDAAAAAJ7mdkiaO3eu6tSpo/bt2+sMW+oBAAAAQI3jdkh68cUX9c477+iPP/7QPffco7vuuotrfQAAAACcN9zuAvyBBx7Q1q1b9dprr+mXX35RgwYNNHToUFu34AAAAABwLnM7JFl17NhR7733nmbOnKlFixbps88+q8q6AAAAAMAjTqt3u8OHD2vWrFmaNWuWLrroIs2cOVO33nprVdcGAAAAAGed2yGpX79+WrdunQYOHKgvv/xSzZo1q466AAAAAMAj3B5M1svLS4GBgfL19ZXJZHKaf+LEiSorriowmCwAAAAAqRoHk50zZ84ZFQYAAAAANZnbIWnw4MHVUQcAAAAA1Ahuh6SMjIwK59OkDQAAAMC5zO2QFB4eXua1SIZhyGQyqbi4uEoKAwAAAABPcDskNWjQQMeOHdNjjz2mjh07VkdNAAAAAOAxboekHTt2aObMmXrmmWe0ceNGPf/880pMTKyO2gAAAADgrPNydwVfX1+NGzdOu3fv1kUXXaRWrVpp/PjxSktLq4byAAAAAODscjskWUVGRuqll17Sxo0b9eeffyopKUkvvfRSFZYGAAAAAGef24PJtm3b1qnjBsMwlJycrJycnBrXcQODyQIAAACQqnEw2X79+p1JXQAAAABQo7l9Julcw5kkAAAAAJLr2eC0r0kCAAAAgPOR283tIiIiyhxM1urEiRNnVBAAAAAAeJLbIcnag51hGBo5cqSmTp2q2NjYqq4LAAAAADzijK5JCgkJ0e+//64GDRpUZU1VimuSAAAAAEhckwQAAAAAp+WMQ1JF1ycBAAAAwLnG7WuSbrrpJtv/8/LyNGLECAUFBdmmLVq0qGoqAwAAAAAPcDskhYWF2f5/5513VmkxAAAAAOBpboekOXPmVEcdAAAAAFAj0HEDAAAAANhx+0zSJZdcUuH833777bSLAQAAAABPczskbdmyRYGBgbr77rsZdwgAAADAecftkLR161Y9/PDDev/99zVp0iSNGDFC3t7e1VEbAAAAAJx1bl+T1LhxY3322WdasGCBZs+erRYtWujzzz+vjtoAAAAA4Kw77Y4bunXrpg0bNmjChAkaNWqUrr76am3cuLEqawMAAACAs87t5nbjxo1zmnbddddp/vz5uuyyy1RYWFglhQEAAACAJ7gdkso7W9S+ffszLgYAAAAAPM3tkLR8+fLqqAMAAAAAagQGkwUAAAAAOy6fSRo2bJhLy82ePfu0iwEAAAAAT3P5TNLcuXO1fPlypaWl6eTJk+Xe3LFq1Sr16dNH8fHxMplMWrJkicN8wzD01FNPqXbt2goICFCPHj20e/dutx4DAAAAANzh8pmkkSNH6sMPP9TevXs1dOhQ3XnnnYqMjDyjB8/Ozlbr1q01bNgw3XTTTU7zn3/+eb3yyit67733lJiYqIkTJ6pnz57avn27/P39z+ixAQAAAKAsJsMwDFcXzs/P16JFizR79mz9+OOPuv766zV8+HBde+21MplMZ1aIyaTFixerX79+kkrOIsXHx2v8+PF66KGHJEnp6emqVauW5s6dq9tuu82l7WZkZCgsLEzp6ekKDQ09oxoBAAAAnLtczQZuddxgNps1cOBALVu2TNu3b1fz5s01atQo1a9fX1lZWWdctL29e/fqyJEj6tGjh21aWFiYLr/8cq1bt67c9fLz85WRkeFwAwAAAABXnXbvdl5eXjKZTDIMQ8XFxVVZkyTpyJEjkqRatWo5TK9Vq5ZtXlmmT5+usLAw2y0hIaHKawMAAABw/nIrJOXn5+vDDz/UNddco4svvlhbtmzRq6++qn379ik4OLi6anTLhAkTlJ6ebrvt37/f0yUBAAAAOIe43HHDqFGj9NFHHykhIUHDhg3Thx9+qOjo6GorLC4uTpJ09OhR1a5d2zb96NGjatOmTbnrmc1mmc3maqsLAAAAwPnN5ZD05ptvqm7dumrQoIFWrlyplStXlrncokWLqqSwxMRExcXF6fvvv7eFooyMDP38888aOXJklTwGAAAAAJTmckgaNGjQGfdgV1pWVpaSk5Nt9/fu3atNmzYpMjJSdevW1dixY/X000+rUaNGti7A4+PjbT3gAQAAAEBVc6sL8Kq2YsUKdevWzWn64MGDNXfuXBmGoUmTJuntt99WWlqaOnXqpNdff10XX3yxy49BF+AAAAAAJNezgUdD0tlASAIAAAAgVdM4SQAAAABwviMkAQAAAIAdQhIAAAAA2CEkAQAAAIAdl7sAB85FRzPydDK7QBl5RQoN8FFEoJ9qhfp7uiwAAADUYIQknLf2pWZrwuItWpucapvWKSlKz/ZvqbpRQR6sDAAAADUZze1wXjqakecUkCRpTXKqHl+8RUcz8jxUGQAAAGo6QhLOSyezC5wCktWa5FSdzC44yxUBAADgXEFIwnkpI6/ojOYDAADgwkVIwnkp1L/iy+0qmw8AAIALFyEJ56WIID91Sooqc17npCj5+3pp476T2nM8S+k5NL0DAADA3/g5HeelWqH+erZ/Sz2+eIvW2F2b1DkpWqO7Jem6V9Yop6BYktSlUbRmDGil+PAAT5ULAACAGsRkGIbh6SKqU0ZGhsLCwpSenq7Q0FBPl4OzrPQ4SRv/StO0L7fbApJVl0bRmjmwrcIC/TxUKQAAAKqbq9mAM0k4r9UK9bcNHrvnWJYmLN5S5nKrdqcoJauAkAQAAACuScKFIyOvsML5mZXMBwAAwIWBkIQLRqi/b4XzQyqZDwAAgAsDIQkXjOhgP3VpFF3mvC6NohUdTFM7AAAAEJJwAQkL9NOMAa2cgtINLeP07E0tdTg9T7/sPaGdRzJ0NCPPQ1UCAADA0+i4AReU+PAAzRzYVilZBcrMK1RYgK+8vEx69NPNWmvXVXinpCg927+l6kYFebBaAAAAeAJnknDBCQv0U8PYYLWpG6FAs48eX7zFISBJ0prkVD2+eAtnlAAAAC5AhCRc0E5mFzgFJKs1yak6mV1wlisCAACApxGScEHLyCs6o/kAAAA4/xCScEEL9a/4srzK5gMAAOD8Q0jCBS0iyE+dkqLKnNcpKUoRQXQLDgAAcKEhJOGCVivUX8/2b+kUlKy929UK9fdQZQAAAPAU2hLhglc3Kkj/vrWNTmYXKCOvSKH+PooI8iMgAQAAXKAISYBKzigRigAAACDR3A4AAAAAHBCSAAAAAMAOIQkAAAAA7BCSAAAAAMAOIQkAAAAA7BCSAAAAAMAOIQkAAAAA7BCSAAAAAMAOIQkAAAAA7BCSAAAAAMAOIQkAAAAA7BCSAAAAAMAOIQkAAAAA7BCSAAAAAMAOIQkAAAAA7Ph4ugDgfHc0I08nswuUkVek0AAfRQT6qVaov6fLAgAAQDkISUA12pearQmLt2htcqptWqekKD3bv6XqRgV5sDIAAACUh+Z2QDU5mpHnFJAkaU1yqh5fvEVHM/I8VBkAAAAqUqND0uTJk2UymRxuTZo08XRZgEtOZhc4BSSrNcmpOpldcJYrAgAAgCtqfHO75s2b67vvvrPd9/Gp8SUDkqSMvKIzmg8AAADPqPGJw8fHR3FxcS4vn5+fr/z8fNv9jIyM6igLqFSof/lvr0A/b8UE+2nn4Qw6dAAAAKhhanxI2r17t+Lj4+Xv768OHTpo+vTpqlu3brnLT58+XVOmTDmLFQJliwjyU6ekKK0p1eQu0M9bswdfqqeWbtXqUh06PNO/perRoQMAAIBHmQzDMDxdRHm++uorZWVlqXHjxjp8+LCmTJmigwcPauvWrQoJCSlznbLOJCUkJCg9PV2hoaFnq3RAUknvdo8v3uIQlKb3b6H/23LYFpAC/bw1rFOi2iaES5LqRAQqLtSssEA/T5QMAABw3srIyFBYWFil2aBGh6TS0tLSVK9ePf3nP//R8OHDXVrH1ScCqC4O4yT5+0gmqddLqyWVBKRXBrbVnLV7HTp56NwoWs8NaKX48ABPlQ0AAHDecTUb1Oje7UoLDw/XxRdfrOTkZE+XArisVqi/mtQO1WWJkWpSO1QZuX932DCsU6JTQJKk1btT9Oinm5WeQw94AAAAZ9s5FZKysrK0Z88e1a5d29OlAKfNvkOHtgnh5XYTvnp3ilKyCEkAAABnW40OSQ899JBWrlypP//8Uz/++KP69+8vb29vDRw40NOlAafN2qGDJOUXWSpc9kR2gX7+I1U7D2foUFru2SgPAADggleje7c7cOCABg4cqNTUVMXExKhTp0766aefFBMT4+nSgNNWK9Rfz/RvqScWb5HZp+LfKUwmKSuvSKnZBYoI9FVxsUUJ9H4HAABQrWp0SProo488XQJQLepFBWn6Ta1UUGRR56RorU5OcVqmc1K0/nc0U48v3mqbRjfhAAAA1a9GhyTgfJYQGagDqdl6qk8zTf18m8OYSZ2TojSqW5KGv/erooP99NyAVooNNSsrr1hZ+UU6cDJHdSICPVg9AADA+YuQBHhQnaggHcvI09S+LZRTWKyc/GIF+nmr2DB029s/KdDPW/PuvkJTv9jm0MEDZ5QAAACqDyEJ8LDYUH+H+zsOZ+ivlBzlFBRr5sC2TgFJktYkp+qJxVs0vX9LFVgMRQf5MfgsAABAFanRvdsBF6KwAF+FB/hKkmJDzeV2Eb4mOVVZBcXadSRT2w9n6ODJnLNZJgAAwHmLM0lADRMfHqDiYos6JUUpK6+4wmXTcwuVEBmgrLxipeUWymLJVmiAL2eVAAAAzgAhCaiBEqKC9Ez/lsrKK6pwuWKLoT4z19rud0qK0tP9Wio7r0jxkXTsAAAAcDpobgfUUPWighQW6GsbeLa0TklRWveH87VKE5dsVUZ+kXYeztABmuABAAC4jZAE1GB1IgL1TP+WTkGpc6NoDemYqNlr9jqtszo5RQfTctXr5dV67NPN+is1+2yVCwAAcF6guR1Qw9WLCtKMAa2UmVekzLxChfj7SoY04M0flVNQ9jVL+UUWBfp5q03dCB08matjGfkK8fdRsL8P4ysBAABUgpAEnAPsg83BkzlKyyksNyBJUqCvt14Z2FZz1u7Vqz8k26YzvhIAAEDlaG4HnGMuighUqL9PudcqdUyKUrFhaM7avWWOr/Tk4q3aeThDOw9n6GhG3tkoGQAA4JxCSALOQdbe70oHpY5JURraMVEmk6nc8ZXsr1l6aOHv+is1W+k5BWejbAAAgHMCze2Ac1S9qCA9N6CVMvKKlJVXpMJii378I1X3f7hR/7qldYXr5hdZJEmrd6foicVb9Gz/lsrILZS3l0nxXLMEAAAucIQk4Bx2UUSgLpJ0ODVb+Ya0ad9J5RQUy+xT8Uli+/lrklO1/2Su9qVmq0PDaP11PEtmX2/FhQdUc/UAAAA1EyEJOA/UjgrS8Yw8Te/fUlkFxTKZpM5J0VqdnOK0bMekKG3cn+YwLT23ULXDArRuT4ra1o3Qkcx8peUW0hseAAC4IBGSgPNETKi/7f/H0nI1rV8LPblki9bYXZtkvWbp/g83Oqwb6Out2uH+emfNH5qweKtteuekaD3dv4WKLcUKMvuplt1jAAAAnK9MhmEYni6iOmVkZCgsLEzp6ekKDQ31dDnAWZOeU6CM3EJlFRQ7XLM0e81eh+7DOyZFaVjHRM1du1ery+jswdpt+NTPt2niDc0VEeirsEC/s7krAAAAVcLVbMCZJOA8FRboZwsz+1OzVWx3zZKV9cxSgJ93mQHJOiBtVl6RRnZNUm5hsfIyinU0M09Bfj66iKZ4AADgPERIAi4ACVFBOnYyR8/2b6kDJ3OVllsos4+XNu5P0/yf/9K9nRs6rRPo5zggbaCft4Z1SlSHBlHyNpmUqkIVFhsqKC5WoB/XLgEAgPMHIQm4QMSeCjFekiKD/XTwZK7aJoRLknIKi52WH9Yp0TYgbenAZNUpKUoP9Wyi577aqqf6NFegl0kxhCUAAHCOIyQBF5g6UUFKzylQkK+3sgqKFWT2UUywWZ0bRWv17r97w2ubEG4LRPaByd6a5FSZtEtP3dhMOQXFOpJbqJS8IgX7ecvHy6TaBCYAAHAOIiQBFyD765WOZuQpPa9A0/o69oZnHXBWcgxMpa1OTtGxjHzd8e7PtmmdkqL0dL+W+vN4liQpIsiPzh4AAMA5g5AEXOBqhfqrVqi/bZyl/aeuWUqI/HswWfvAVJb03EKH+7/tS9O6PSlqVSdcWflFyiksVkZuofy9vRTDILUAAKCGIyQBkPT3OEt+vt46mVMgk/4ekNbs41Xhuvbz7a9fchhzqVG0pvVtodQjGcrMLVJogI+CzHT4AAAAah7GSQJQrr9Ss/XE4i1qUzdCG/eddLomSSrpRrxt3Qhbc7wxVyeVu2ynpChdmhipwmLD1mnERREBMvt4yd/bi2uYAABAtXI1GxCSAFToUFquMvMK5e3lpSmfb3Po3KFzo2gNvrK+7v9wo238pVmD22v4e+vL3Fagn7eWjOqoKV9scwhRnRtFa1Kf5iqyWCRDMpnEWSYAAFDlGEwWQJWIDw+QVHId0YybWiozv0hZeUUKMvso2M9bkz/f5jBAbUXXLw3rlKhppQKSJK3enaJJn21V21NnrIZ2TNRHv+zTxBuaqchSLLMPgQkAAJw9FV9oAAB2LooIVJO4UNWLDFSIn7fyLMWaeENzdUqKsi1T0fVLbRPCtbqMZniStDY5VW0TwrU2OVVz1u5Vk9qhemLxFvl6eetwWo72pWbr930ntOtIhg6ezKnyfQMAALDiTBIAt1k7ebB6rn9LZRQUKz23UNHBfrYOH9xlPQu1NjlVwzom6tUfkrX/ZK7yCov15sptmtynuXIKi3UoLU/puYXy9/GWl0ny8/FSPGeaAABAFSEkAThjF0UFKTinQCF+3souKtakG5s7Xb/UKSlKsaHmCrdjfxbKGpjScwtVLypAd3Wor8cXb3E4E9UxKUoPXJ2kWmEB2nYoXTn5xfSaBwAAzhghCUCVsB+gVvr7+qWDJ3NlMpkUHeynHYcy1DEpqtxe8jbuT7PdtwYms4+XvOSlWav/cGqqt3FfmooN6clS4alzo2g93a+FcguLlZFTqNAAXwX7E5wAAIBrCEkAqsVFpwJJsNlHmXlFyskv0qX1I3Vp/Ug99ZnjWaaOSVEa2jFR93+40XZ/4/4027+1wwPKvJZpWKdEvbo8ucyOIKxdl1u7Ju/RJFZP9Wmm3MKSZoGh/gQnAABQNkISgGplH0IOnsxRUVGRpvdroezCYmXmFamgyKIf/0i1dSNuDUzzf/5LQzsm6sOf/1KnhtFlbrttQrgtBJW2JjlVQzsmSirpevy2y+tqwuIttkAV6OetiTc0U9u64crKK1Kw2UeBft7ykeTj7aXY8ICqfSIAAMA5g5AE4Ky5yC4wHT6ZowBfL0km3dCytrpeHKMAX28VFFuUnlOoZvFh+vDnv/Ro76Y6lJZb5vYq6m7cfv6wTomas3avQ0B6ZWBbzVm7VxMWbbEt3zkpWlP7NZdRbNHOIxnKyC1SsNlbAb7eMpkkX28vh30AAADnJ0ISAI+oXSpsHDuZo3yLoayCYhWaLerdPE5tE8J1+zs/6bbL6pbZY15F3Y3bzy99xql0aLJanZyip5Zu03Ut4jRh8VZJJYFqcp9malcvUtkFhTqUdqKkcwhfb+UUFcswGPgWAIDzDSEJQI0QWypkHDyZI29vk968s51CAnx0S7s6enLJVodrmY5m5Klzo2iHaVb2HUGUPuNUUTO91btTNOTK+pJKAtJrt18if18vPfXZVodQ1blRtJ7t20KGScrMK9Ive1MV4u8rfx8vFRkW+Xp5qdBikb+3t/y8TKpFiAIA4JxBSAJQI9k3azuekafiwmLbtUwZeUUK9PVWoJ+3LkuM0uTPtmqNXYDplBSlIXYdQZQ+4+ROM73D6bn6csthp7NOOw5nKN9iaFKp8NS9SYyevL6ZjqTny8fbpEI/Q/6+3tp9LEO+Ji9ZJOUWFv/dXblvSYgqHRIBAIDnEJIA1HilB6+VSq5pyiwokpeX9Gz/ljpwMldpuYXy9/VWdLCfXvnuf8opKJYkbdyfpk5JUbYg5U4zPUlldln+3IBWTgEp0M9bAy+vpyeXOk7vmBSlqX2b62hmvl75YbfTGampfZtr3/Esycuk7IJiZeSe6rbcz1smScez8hVg9lEwzfoAADgrCEkAzkm1IwJV2+6+l5dJkXlFysovkp+Pl57q01wP9SrWwZO58jaZ1KNpLRnaqbXJqbbuxSsbr6miM06xoWan9cu71mltcqp++eNEmWekVu9O0TNfbNeTNzTXE3a970klZ8Se7tdCkYF+2nU8S2H+PjIsRknPgLlFCvEv6ZFPhk5NKwlXQX7e8vEyOV33BQAAXENIAnBeKH2GpeSaJqlRbLCyC4qVnV+op/u2UEGxRUfS83Rjq3hN+2K7Q2cQnZOiNbpbkoa996ukis84ZeUVO02r6Fqn2FB/hyaB9prEh2niki1OAWpNcqqeXLJVT1zfVDsOZ6h5fJgeKxWkOjeK1qiuDTX8vfW2M2cl4aqlNu07IbOvj0ySZDIU4OOj3KJiZecVKdjfR77eXjqZXaBAs4+8TJJMUrCfDz34AQAueIQkAOelsv7QP56Rp8LCYgVEBymnsFhP3tBUhqSDJ0u6GN95JENRIX5qVzdCq5NTtHF/muLD/Ms86xTs7+20/YrOPFU0r7LxngyZ1K1xrJ77emeZZ6IshlEysO6pbZSEqy0a2jFRw99bp6ubxOjRXk31xJItDkGtY1KU7u7UQKuTU3RFYqQigvyUVVCknYczZEjKzi85W+VlkgxJgT4l+2yRVGQxlFtQrJyCkmurTKemm71LOq4I9CVsAQDOXYQkABeMsq5tkqRgs48y80oCgcUwNL1/C2UVlpxxiQzyU4OYYEmO1yZl5xc7XOckVXzmqaJ5lXUkkZlbqAA/7zKbB1rrGnZq4FyrNcmperR3E0lSs/gwTf1im9P6G/elyd/XS1sOpKlVnTC9+/VO3XZ5Pacmg50bRWtk14aqHeoviwwdy8jXq8uTnZYZ3ilR76/7U4/2bqqf96aqWX6Rsk49rz5eXkrLKVBIgI8CfbxtHXAEm33k7+OlAotFMiSLIWXlFynIz1vB5pIzXyXjVf19tsvPy0tmHy/FE8IAANWEkATggldeZwgHT+Yop7BIcSFmTevbwqFXuhBfb02+sYVDz3qlO4iwdywjT52TorS6jHnhAb4V1hcS4KuMnMIKlykraFmbBJZ3pmpYp0S9ujxZbetGaPaavWpTN6Ls8aNOdbH++HVNtHFfWrnXVsmQ2tWPUGpWvhb/dlDjPt5sm98xKUrDOyUqI69I7675w6lHwEd6NXUKcva9FOYUFKtzo2hN6tNceUXF8vEyac/xDPnIS/IyKaegWJl5hQr195X5VOgK9PGWl6SMU51hhAX6loxvVVisTGuTQy8vpeUWKNhc8v+TOQUK9vdRoK+3CoqLVWSRMnKLSsKdr7eyC4qUlVesEH8fmX295GVIecUWW7gL9fdRsK+3fCSZ6LUQAM5ZhCQAKEdFzcUOn8yRv6Rn+rf8+w/0AF/dfEkdTVzqOJ5Tx6QoXdYgUg1igmWR4xmpzknRqh3uX2646pQUJZMM+XibKqy1rDNV1iaB5Z2psoanYR1LmuoN7ZhY4fhRhkyqFepf7hmt1ckpeqBHI7343f/K7LzCS1LvlrWd5jUt50xXSVND2ZoSrt6dokmfbVXbuhHacShdk25orgKLRZMWb3UKVxNvaK4ZX+/UnVfU0/D31kuSXhnY1ikEdkyK0tCOibpr1i9qWzdcQzsm6p8fbNCrt1+i137Y7RBqS4e2Hk1i9dh1TfX0F9sdlrP2WKgiQ7+eGj8ryM9baTl5CvE3y5CUYxe4DUMymaQAX2/lFRWr2PJ3U0d/X+9T4bxIEYF+yi+2lAS+AF/5eXspPTdfkUH+tl4Rw2y9IhrKKrQoI7dIYUHeCvD2UZbdMkF+3iqwFMnP6+/p1k4/LBZDecUW5RUUKSrIrEKLofyiYplMJhmGlJVXpNDAkjOCmflFyj61H2YfL1snItZ98/P20onsfEUGmVVQbFFWXqEig8wl+5Hz92Nm5eUpyN9xPwL9vJWWk68Q/5L9zswtUpD57zOMJfdLzkTmF1uUmVcSUv28S85ahgX6Kb/IUlJvgI/8fLyUmZuvyEB/FVgM5RYWK7egWMFmH5lMkp+PlwpOLR8R6KcCS8n/A/285e/rLckiXy9vZRUUKyuvUNHBJfuUnluoEH9fhfh5q1iGcgtLag3291aQn49yCosd9tViKZa3Dz1VAjXdORGSXnvtNb3wwgs6cuSIWrdurZkzZ+qyyy7zdFkALmAV9Rw346aWysovUkZukQLN3grw9VaxYVEtuzNSWXlF8vYyaU1yiv753w16e1B7PVnqmiFrBwwHTuRo/b6TLvXIZ7/usYx8SeU39bOGp9L/liczt7DSZYosRgUhKlVDSjULlCq+Jqt0U0L7+4cycjXzh+Qyw9W0L7aVhL7lyRrWqWT58noelORwTddzA1ppZqmu2q3btQ9tTeJDnbqBl0oC5ZNLtur6lrUVG+qvwXN+VYcGkXrqhuY6lJ7r3FQxKVpDO9XX/J/26e7OiRpWKtRt3JemVwa21b+X/c8p4D3dr4Umf75NP+w8bpveKSlKk29srjve/VmRgX56e1B7pw4/rMfW9K926P+2HnVa9/75G/XqHZfoQFqu3ln9h263a4YZ6OddZuDsnBStUd0cOxHpnBStiX2aadqX2/XTHyf0ysC2+s93u8usZcrn2/S93X50bxKjJ29opqeWbK0wrJa+3zEpSk/d0FxPf7nd4XnpnBStp/u10MH0PIeu+AP9vDVnyKV69Yfd2nDquf5PqaBvrXHS59ts+/HS987d+Y/u2tDp9Sv9HE26sbnyC4r05/EsFRoW+Xl7K6eg5DMh2L8ksHmZVHKWM6dA4XbhONTfVwF+3krLzldoQEkIzDh1BjXIz1uFlmIVFpec/Qw69dnj62VS3qlAnH3qcUID/m4CG+zvo4BTZ0lz8osVGVQSEA1DMoySwB5s9pFMkmEYCvKzhtTCkhBtWORr8lJekcV2NrckhBfL18tb2ad+RLIG+9TsfIX4O///ZE6+IgOdf0Qw+3ipoNhi+/Eg0M9b/j7e8jJJ3tZhE+y2fzInXxGB1lDuGHiDzSVhOS2n5OxxgK+3rbfQsEAf+fv8XW94oK/MPt7Kyi+y1WKSVGwYtse3GI61BvuW/DCVYffDQ4iftwoNQzkFfy8XYD2jbfc6+fl46aKIQKXnFCglq0DFRqECfPxsP2KEB/kq2M9HBcUW5RWW7I91XUlKycpXsP/fvZtmFRYpM6dQMSGlfkTxLwnoB0/mKCOvyDY9xN/xOtIDJ3OUaTfful5ZKlvWuk8Zp35MjA7yU1igX5nbqklqfEhasGCBxo0bpzfffFOXX365XnrpJfXs2VO7du1SbGysp8sDACeVdVhwPC1X4WYfZRYWq2NStHo2j5PJMPRs/5a2L+gQ/5IzAr/tT9OERVsklfzRZZIcglRJ73ZJGn6qRz6p5A+6p/o01+3v/CSp/GaA1vBU+t/yhAT4Kiu/qMJlAv2cO7SwV1bIcnVwX/v7bRPCFWT2KTeQWa/Jsg9VrgSxtcmpeuzUepUt60q4m712ry2krd2TUnZTxeQUSYZa143QzDJC3Zirk8oNeBOXbFWbuhEOYWBNcqomf7ZNzw1opbpRgXqi3J4TSzr3sA9J1nVfu/MS/bq3pNv6tqWaYZbX1f3q5BRZ5NiJyOrkFE39fJva1I1Qs/iwMtez1tKmboRDSGoaH6YnlziH0NJhtfT9tadCcunnZXVyin4s4zUY1ilRM3/YrTUVPNf2NZa3H/adqNi/fqWfo0mfbdWl9SPVsWGkIoLMemKxc4cqQzsmav7Pf+nRXk01rVTY65QUpWn9WmjaF6VCoF1Is4bUjklRuv/qJMWFBujxch7nrtm/qF3dCA3vnCjDkF5bkewQiksv/+HPf+mOK+rJJJNmrdmpsT0a68kvnAfVnnhD83Ifc9DsX21nbgfN/lVXNIjUY72b6nBGXpnXO953dZKGzPnVtl9XN4nR49c11cTFjgHaGpAdQ7nzjwtDOybqzlm/6JK64RrSMVFTPtumdwdfqgmnfkwo94eAU9de/nfdn3r8umaa8X/b9V0Fr0Ggn7dmDW6v15cnVxj0OyZFaUy3JBVbDP3f5oNauydV0/q1sv24Eejnrdduv0SBft56tdQZbuu6eYUWDZ7zqy6pG67JN7aQv5eXvAL9bPtk/9jP9G+p15fv1oL1B52m14sK0l+p2Xq8nPXqRQXJXmXLHkrL1aOfbnZoXdGlUbRmDGil+PAA1WQVfyPWAP/5z390zz33aOjQoWrWrJnefPNNBQYGavbs2Z4uDQBOS0x4gC6KClKTuFBdWj9STWuHql5MsOpGBalp7VBdlhilprVD5eNlUtuEcH068kq9N+wyJUQG6Nn+LfX12M5aOKKDvnqgs57t10IJ4f5a+M8O+vCeK/R/D3TWmKuTdPs7Pyklq0CStP1Quibe0FydkqIc6jiakafOSdHauD9NnU+djepYahmrzo2iZZKhYxl55S+TFF3pvpcVxFwd3Nf+fkkzKudu2O1Z5+cXWdwKYpVt19Uzb/lFFq1NTlXbhHC1TQivpKliyXL2y1uXtf9/aWtOLV/W9NhQs4qKyz+zZ12mrOlFxYat3tKPX1E9a8uoZ00Z++TKfrjzOKXvl/e8lNUVf9uEcNs0V2p0pa7KlumUFK1iQ5r02TanetYmp2rO2r1qFh+maV9sU7P4MKc6Ji7Z6jR99e4Uh5Bt3dae49lOZ6ntH2dYp0StTk7RrNV7dTg9t9wQaF2+aXyY5qwpWfbmdgllNpVtGh/m1Jtm6ce0/3+z+DCt//OEU0Cy7df3jvvVLD5Mkz7b5nSNpzUgN4sPq3DcOuvjrjn1/9fuuMRhP8r9IWB3yfPULD5Mkz/bqiaVvAbW6z5L17nGrgZrTSX7nqLrW12kZ/u3cvhxY1inRB1Oz9XMUgHJft3D6bm2fZr82VYdysjXr3tPlBn4n1i8RXd3aVjm9AMnc5xCT+n5Vq4sWzogSdKq3Sl67NPNSs8pUE1Wo0NSQUGBNmzYoB49etimeXl5qUePHlq3bl2Z6+Tn5ysjI8PhBgDnotoRgbbgdGn9SDWuFaq6pcJVQlSQ6kQFKSzQV+GBvsrJL1RsiL/m3X25PjkVpB7p2USGLHqmX0nA+nREB30ztrM6NChpWrXzUIaGdkos+bdjolMIso7F5O/jrcsaRGpMt6QylxneOVG7Dmeoc6Oyw1LnpCgdzchzmm4901WW0k0JrffNPl5ldsNuzzrf7OPlVhCrbLuunnmzzreGNFeDWull3T3TZpWVV9LEpiLlBUL7ppVlnclztx53g+rpPI4r61c2zZXHrIpliixGhWdCrWGrohBc1vSyQmqtUP8yO4wpvfzq5BTVCvV3KQSuTk5VrVD/MgfVllwPuK7/iJDisF9VFWat//fx9nL5hwBrLa68Bu4G/dhQ/5Jr3gqKneqpVcFYe2tPvR7W7a1JTlWQ2Vux5fToav0hpKzpmXlFFT63mXl/tyZwZdnSAclq1e4U2w95NVWNbm6XkpKi4uJi1apVy2F6rVq1tHPnzjLXmT59uqZMmXI2ygOAGuN0LwI/ejJHT/VpppzCYj3cq7Fkkibe0Mx2LYJ1nCSLJN9TfXBfFB7g1NufdZyk+pGBalc/UpOWOjeDGdopUSaZnJr+7Th1pqui3u1s2zh1f1inRHVKiqqww4tjGfkOIcuVa7o62q1X2bIV9WZov1xlYcqqvPDl7pk2q2B/b/l4VbxueYEwJMBXmaeaVlZFPa48B2f6OK6sX9m0032u3V0m0M/7jM9YujrdnbBZ2bKl6ypvH6r6Md1dx539kEp+FHBnfVdfm9MJ+pm5hSodX9zdH6nkB5CK1iu9z1aV/bCSmff3fHeWPZ35nlajQ9LpmDBhgsaNG2e7n5GRoYSEBA9WBAA1V60q6mHr8MkcFVqMUxcxF2lK3xYlPYXl23W1nVOg4AAfzejfsuRi6by/eycrsFj01A3NZDH+vjjb2ovZf4ddpvwii9b9kWprw7/jULpuvaSOJt/YXJNLNVmyXpP18nf/05hujWzXa5V1TZd98LL+/9FPN+vV2y+Rl8nk8Cto6dC281CGJt/YQlM+3+bUm6H9Nq1h6aJyBiaW5NDcsXSos04va71OZXTaYZ1+LCNfdaMCKw2SZU338TbZmlaWfvyK6imvE5HKgmpZ++FqCC3rfnnPS1ld8Vubm65247l2NXCXt4x05mcsXZ3uTvBzJwRWdDa3qh/T3XXcDbMhpYZhcHX7lb0GpxP0S9fiynbKWibY31s5BeWvV9bjSFJoZUNS+P89351lT2e+p9XokBQdHS1vb28dPXrUYfrRo0cVFxdX5jpms1lms3MbawBA9amot7+qcOBkjiKD/NSlUbStU4t8S7F8TV4O3bCH+PvaQtdjvZrIS9KnI6+0ddE+vX/Lv8dJMvvI17tknKRFo66U36lxkj64+3IF+Xprcp+mJeMk5RUpxOyjQL+SHsDeG3qZgv195H9qnKSJNzSVxZAOnsyVVPJH9/0fbrRdmH7/hxvVoUGkbmlXR/WjSy56Lq93u/u6NdKwUqFu9pq9emVgW6f1OiZFaVq/lnr6i20Oz1VJD3UtdNvb62y925XVc+Iz/Vvqua92lLnuqA826NU7LlH96CC9s/oPDbXr2MJaj1MnIknRGtXNsRMRa+92M77aYbuQvvR+WGuZ+rnjfuw4lK5p/VroqSXbTnVu8ffy9mG1rDOOT/Vprhml9q1zUrSuTIp26op/9pq9mjPkUslkKve5tq9xXTn70blRtEZ3S9KwuZWH8uW7junyxMhKQ2BFIbis6WWF1KMVjNFmv3znpGgdzcjTofS8SkOgfdPZsvbB1YDr+o8I0Q77VdH2TyfMFhVbHLZXUVi21uLKa+DODwolZ7HzdHFssG0/7OuJD/Ov8HW0vnbWdbPzi3WsjObN1vllDSvRKSlKIf4+FT63If5/RwdXlu3SKFqrymhy16VRtKKDa3YPdybDMJwbJdYgl19+uS677DLNnDlTkmSxWFS3bl2NGTNGjz32WKXrZ2RkKCwsTOnp6QoNDa3ucgEAFyhrN7jW7o59T40RFGQuCXXpuXkKOvUjXk5hsXIKSgalNUkyJAWWGifJ2jVzWeMkhQb4ylxqnCRrSAypYJwk+54T8y1FMns5Tq9onCQvk8k2aG6Iv4+CfE+Nk3RqP/zLGSfpZE6+wgPNKiw9TlLu37Vk5ecp0OzvEHaDyhknKcjso7xyxkkK8feR+VTwDQtwbZykIHNJk1LbOEn5RQoP8FNhBeMkZeeX7Eehi+MkZeUVqaDIoh//KAmZkvTe0PaKCPJ3GJBacuzd7rHeTTXjqx1l9G7XUtO+2Obcu92pkObYu10jxYX5l9uL3v0fbnTo3e79n/50uXe7j9fv09gejTXtC8ezud2bxGhin+Z6soLHtP8Rwdq7XWpWvhu92zXTlM8cA3THpChNOhWQraG8vP24/8ONTr3bWffD2rvd3LV7nXoTdezdboe+23nM8TXomqRh7/3q2Lvdij3lnpX+u3e7Rroo3N+hdzvrjxuOvdslO+3zmG6NlFdYrNHzf7P1bufnZVKBxVLmmXZXercrfbxU1LtdRcseSsvVY59udghKXRpF67kBrVTbQ73buZoNanxIWrBggQYPHqy33npLl112mV566SV9/PHH2rlzp9O1SmUhJAEAAE9KzylQZm6hMq0DT5864+nKOElhgX4qsAuV1kF2Q/3/HifJGjbtx0myjtHmV3qcpFMh19eNcZKsQdLiwjhJ9md6/ezGSbIG+9TskvF8Sv/f1XGSAuzGSfKxGyfJun2HUF4q8NqPkxRk9lGg3ThJoYE+CrAbJyks0Ff+boyTFBLgoxC7cZLsf7SwjZN06geFQLtxkqyvk7mCcZKsz1+I2XGcpECztwJPPWbqqR9k7MdJysotVFSw448PIaXGSbJODy1nnKTS65WlsmWt+2SdHx3s2XGSzpuQJEmvvvqqbTDZNm3a6JVXXtHll1/u0rqEJAAAAADSeRaSzgQhCQAAAIDkejao0eMkAQAAAMDZRkgCAAAAADuEJAAAAACwQ0gCAAAAADuEJAAAAACwQ0gCAAAAADuEJAAAAACwQ0gCAAAAADuEJAAAAACwQ0gCAAAAADuEJAAAAACwQ0gCAAAAADuEJAAAAACw4+PpAqqbYRiSpIyMDA9XAgAAAMCTrJnAmhHKc96HpMzMTElSQkKChysBAAAAUBNkZmYqLCys3Pkmo7IYdY6zWCw6dOiQQkJCZDKZPF1OtcnIyFBCQoL279+v0NBQT5eDcxjHEqoKxxKqCscSqgrHEgzDUGZmpuLj4+XlVf6VR+f9mSQvLy/VqVPH02WcNaGhobzpUSU4llBVOJZQVTiWUFU4li5sFZ1BsqLjBgAAAACwQ0gCAAAAADuEpPOE2WzWpEmTZDabPV0KznEcS6gqHEuoKhxLqCocS3DVed9xAwAAAAC4gzNJAAAAAGCHkAQAAAAAdghJAAAAAGCHkAQAAAAAdghJ55hVq1apT58+io+Pl8lk0pIlSxzmG4ahp556SrVr11ZAQIB69Oih3bt3e6ZY1FiVHUdDhgyRyWRyuPXq1cszxaJGmz59ui699FKFhIQoNjZW/fr1065duxyWycvL0+jRoxUVFaXg4GANGDBAR48e9VDFqKlcOZa6du3q9Nk0YsQID1WMmuqNN95Qq1atbAPGdujQQV999ZVtPp9JcAUh6RyTnZ2t1q1b67XXXitz/vPPP69XXnlFb775pn7++WcFBQWpZ8+eysvLO8uVoiar7DiSpF69eunw4cO224cffngWK8S5YuXKlRo9erR++uknLVu2TIWFhbr22muVnZ1tW+bBBx/U559/roULF2rlypU6dOiQbrrpJg9WjZrIlWNJku655x6Hz6bnn3/eQxWjpqpTp45mzJihDRs2aP369br66qvVt29fbdu2TRKfSXCRgXOWJGPx4sW2+xaLxYiLizNeeOEF27S0tDTDbDYbH374oQcqxLmg9HFkGIYxePBgo2/fvh6pB+e2Y8eOGZKMlStXGoZR8hnk6+trLFy40LbMjh07DEnGunXrPFUmzgGljyXDMIyrrrrKeOCBBzxXFM5ZERERxrvvvstnElzGmaTzyN69e3XkyBH16NHDNi0sLEyXX3651q1b58HKcC5asWKFYmNj1bhxY40cOVKpqameLgnngPT0dElSZGSkJGnDhg0qLCx0+Fxq0qSJ6taty+cSKlT6WLKaN2+eoqOj1aJFC02YMEE5OTmeKA/niOLiYn300UfKzs5Whw4d+EyCy3w8XQCqzpEjRyRJtWrVcpheq1Yt2zzAFb169dJNN92kxMRE7dmzR48//rh69+6tdevWydvb29PloYayWCwaO3asOnbsqBYtWkgq+Vzy8/NTeHi4w7J8LqEiZR1LknT77berXr16io+P1+bNm/Xoo49q165dWrRokQerRU20ZcsWdejQQXl5eQoODtbixYvVrFkzbdq0ic8kuISQBMDJbbfdZvt/y5Yt1apVKzVs2FArVqxQ9+7dPVgZarLRo0dr69atWrNmjadLwTmuvGPp3nvvtf2/ZcuWql27trp37649e/aoYcOGZ7tM1GCNGzfWpk2blJ6erk8++USDBw/WypUrPV0WziE0tzuPxMXFSZJTDy1Hjx61zQNOR4MGDRQdHa3k5GRPl4IaasyYMfriiy+0fPly1alTxzY9Li5OBQUFSktLc1iezyWUp7xjqSyXX365JPHZBCd+fn5KSkpSu3btNH36dLVu3Vovv/wyn0lwGSHpPJKYmKi4uDh9//33tmkZGRn6+eef1aFDBw9WhnPdgQMHlJqaqtq1a3u6FNQwhmFozJgxWrx4sX744QclJiY6zG/Xrp18fX0dPpd27dqlffv28bkEB5UdS2XZtGmTJPHZhEpZLBbl5+fzmQSX0dzuHJOVleXwi9nevXu1adMmRUZGqm7duho7dqyefvppNWrUSImJiZo4caLi4+PVr18/zxWNGqei4ygyMlJTpkzRgAEDFBcXpz179uiRRx5RUlKSevbs6cGqURONHj1a8+fP19KlSxUSEmJr0x8WFqaAgACFhYVp+PDhGjdunCIjIxUaGqr77rtPHTp00BVXXOHh6lGTVHYs7dmzR/Pnz9d1112nqKgobd68WQ8++KC6dOmiVq1aebh61CQTJkxQ7969VbduXWVmZmr+/PlasWKFvvnmGz6T4DpPd68H9yxfvtyQ5HQbPHiwYRgl3YBPnDjRqFWrlmE2m43u3bsbu3bt8mzRqHEqOo5ycnKMa6+91oiJiTF8fX2NevXqGffcc49x5MgRT5eNGqis40iSMWfOHNsyubm5xqhRo4yIiAgjMDDQ6N+/v3H48GHPFY0aqbJjad++fUaXLl2MyMhIw2w2G0lJScbDDz9spKene7Zw1DjDhg0z6tWrZ/j5+RkxMTFG9+7djW+//dY2n88kuMJkGIZxNkMZAAAAANRkXJMEAAAAAHYISQAAAABgh5AEAAAAAHYISQAAAABgh5AEAAAAAHYISQAAAABgh5AEAAAAAHYISQBwniksLPR0CQAAnNMISQBwjps9e7auvvpq1a1bV4GBgbrrrrs8XRIAAOc0H08XAAAo37p169SpUyf16tVLX375pdP8f/7zn/r666/1zDPPqH379vLx8VFsbKwHKgUA4PxhMgzD8HQRAICy3X333QoODtasWbO0a9cuxcfH2+atXr1aAwYM0O+//67atWt7sEoAAM4vNLcDgBoqKytLCxYs0MiRI3X99ddr7ty5DvO/+OILtWzZUnfffbfCw8MVGRmpIUOGKD093WG52bNnq3nz5jKbzapdu7bGjBljm7dv3z717dtXwcHBCg0N1a233qqjR486rP/nn3/KZDI53dLS0iRJkydPVps2bWzLf/nll2rXrp2CgoKUkJCgZ555Rtbf47p27VrmtkwmkyZPnixJql+/vl566SWHGoYMGaJ+/frZ7n/99dfq1KmTwsPDFRUVpRtuuEF79uxxWGfdunXq0KGDgoODbY9hX2dpc+fOlclk0o033ugw/eWXX5bJZNKQIUNs095//321b99eISEhiouL0+23365jx47Z5q9YsaLMfdy6davL+9i1a1eNHTvWdn/Xrl3y9fW17cPkyZPLfS67du2qVatWydfXV0eOHHF4nLFjx6pz584O0+rXr++0jSVLlrj1fAPA+YSQBAA11Mcff6wmTZqocePGuvPOOzV79mzZn/w/fvy4fvjhB/n7+2v16tVasmSJfvrpJw0bNsy2zBtvvKHRo0fr3nvv1ZYtW/TZZ58pKSlJkmSxWNS3b1+dOHFCK1eu1LJly/THH3/oH//4h0Md1sf87rvvdPjwYX366afl1vzjjz/qxhtv1DXXXKPffvtN//rXv/T888/r1VdflSQtWrRIhw8f1uHDh9WhQweNHz/edv+hhx5y+bnJzs7WuHHjtH79en3//ffy8vJS//79ZbFYbMvcfPPNSkhI0MaNG3X48GGNHz++0u0GBgZq3bp1OnjwoG3a22+/rYsuushhucLCQk2bNk2///67lixZoj///NMhRFnt2rXLtn+HDx9WkyZNXN7H0h5++GH5+/vb7j/00EO27Y4fP14dOnSw3V+0aJG6dOmiBg0a6P3333eoe968eQ7HiNXUqVNt65fmyvMNAOcTrkkCgBpq1qxZuvPOOyVJvXr1Unp6ulauXKmuXbtKKgk5ERER+u9//6ugoCBJ0rvvvqvOnTsrOTlZSUlJevrppzV+/Hg98MADtu1eeumlkqTvv/9eW7Zs0d69e5WQkCBJ+u9//6vmzZvr119/tS1n7S0vLi5OcXFxioyMLLfml19+We3atdOMGTMkSY0bN9aePXv03HPP6b777nNY18/PT8HBwYqLi3P7uRkwYIDD/dmzZysmJkbbt29XixYtdOzYMR06dEhjx45Vo0aNJEnBwcGVbtfX11cDBw7U7NmzNXHiRK1Zs0be3t5q3769w3L2IaNBgwZ65ZVXdOmllyorK8vhcWJjYxUeHu72/pW2fPly/fjjj7r77ru1fPly2/5YHys4OFh+fn5Oz+Xw4cM1Z84cPfzww5Kkzz//XHl5ebr11lsdlsvPz1dkZGS5r0VlzzcAnG84kwQANdCuXbv0yy+/aODAgZIkHx8f/eMf/9CsWbMclmvdurUtIEnSFVdcIW9vb23fvt0WFLp3717mY+zYsUMJCQm2gCRJzZo1U3h4uHbs2GGblpGRIUkOj1Pali1bFBwcrE8++UQdO3Z0mNexY0cdPHjQth1XPProo7YQEBwcrHnz5jnM3717twYOHKgGDRooNDRU9evXl1TSfFCSIiMjFRYWpo8//tjtLtHvvfdezZo1SxaLRW+//bbuuecep2U2bNigPn36qG7dugoJCdFVV13l8PhVsY9WhmFo/PjxmjRpksLCwtzalyFDhig5OVk//fSTpJImhbfeeqvTa3nixAmFhoaWu53Knm8AON8QkgCgBpo1a5aKiooUHx8vHx8f+fj46I033tCnn35qu+YoIiKi3PVNJpMCAgKqpJZDhw7Jy8urwjM+jRs31qZNm5zOuJSuyVUPP/ywNm3aZLuVvk6oT58+OnHihN555x39/PPP+vnnnyVJBQUFkkpC5fvvv69PPvlEAQEBCg4O1rPPPuvSY7do0ULx8fH66KOP9MUXXzh1qZ6dna2ePXsqNDRU8+bN06+//qrFixc7PH5V7KPVf//7X2VnZ2vEiBEub9sqNjZWffr00Zw5c3T06FF99dVXTk3tDhw4oIKCAiUmJpa7ncqebwA43xCSAKCGKSoq0n//+1/9+9//dvgj+vfff1d8fLw+/PBDSVKTJk30+++/Kzs727buTz/9pOLiYjVt2lQhISGqX7++vv/++zIfp2nTptq/f7/2799vm7Z9+3alpaWpWbNmtmm//vqrmjRp4nA9TGl+fn5KSkpS69at9eOPPzrMW7t2rerUqaOQkBCXn4Po6GglJSXZbvbrpqamateuXXryySfVvXt3NW3aVCdPnnTaRp8+fXTllVeqT58+2rRpk1sh45///KdGjBihG264wam53M6dO5WamqoZM2aoc+fOatKkiUOnDVWxj1Y5OTl64okn9Nxzz8nX19ftx5BKekhcsGCB3n77bTVs2NDpTN/KlSsVEBBQbsB19fkGgPMJ1yQBQA3zxRdf6OTJkxo+fLhT86oBAwZo1qxZGjFihG6//XY99dRTGjRokCZPnqy0tDTde++9uummm2ydM0yePFkjRoxQbGysevfurczMTK1du1b33XefevTooZYtW+qOO+7QSy+9pKKiIo0aNUpXXXWV2rdvr4KCAi1YsED/+c9/NGXKFJdqv//++9WmTRs99thjGjp0qDZt2qTnnntOTz/9dJU9PxEREYqKitLbb7+t2rVra9++fXrssceclvvPf/6jTZs26ddff1VYWFiF11KVduutt+rIkSNlnt2pW7eu/Pz8NHPmTI0YMUJbt27VtGnTzmifyjN//ny1a9fOodc7d1nPej399NOaOnWqw7w9e/ZoxowZ6tu3r623Qqu0tDQVFBS4/HwDwPmEM0kAUMPMmjVLPXr0KPP6kwEDBmj9+vXavHmzQkJC9NVXXyk1NVWXXnqp+vbtqyuuuEKzZ8+2LT948GC99NJLev3119W8eXPdcMMN2r17t6SS5m9Lly5VRESEunTpoh49eqhBgwZasGCBpJLrjCZPnqyJEydq3LhxLtXeokULLVq0SF9++aVatmyphx56SI888ohDt+NnysvLSx999JE2bNigFi1a6MEHH9QLL7zgsMzq1as1ZcoUffrpp25fxyNJAQEBevTRR9W0aVOneTExMZo7d64WLlyoZs2aacaMGfrXv/512vtTkZycHP373/8+o214eXlpyJAhKi4u1qBBgxzmde/eXVu3btVHH32k2rVr226SNHToUP34448uPd8AcL5hMFkAAM5zw4cP1/Hjx/XZZ585TK9fv75WrFhh64jBXr9+/TR27Fhbb4oAcCGhuR0AAOep9PR0bdmyRfPnz3cKSFLJWTFvb+8y142IiJCfn191lwgANRJnkgAAOE917dpVv/zyi/75z3/qxRdf9HQ5AHDOICQBAAAAgB06bgAAAAAAO4QkAPj/9utYAAAAAGCQv/XeQZRFAAAjSQAAACNJAAAAI0kAAAAjSQAAACNJAAAAI0kAAAATHrT2hUmPTgEAAAAASUVORK5CYII=",
|
||
"text/plain": [
|
||
"<Figure size 1000x600 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
}
|
||
],
|
||
"source": [
|
||
"import pandas as pd\n",
|
||
"import seaborn as sns\n",
|
||
"import matplotlib.pyplot as plt \n",
|
||
"\n",
|
||
"# Загрузка данных\n",
|
||
"df = pd.read_csv(\".//static//csv//neo.csv\")\n",
|
||
"\n",
|
||
"# Создаем точечную диаграмму для взаимосвязи абсолютной магнитуды и минимального диаметра\n",
|
||
"plt.figure(figsize=(10, 6))\n",
|
||
"sns.scatterplot(x='absolute_magnitude', y='est_diameter_min', data=df)\n",
|
||
"\n",
|
||
"# Настройка подписей и заголовков\n",
|
||
"plt.title('Взаимосвязь между абсолютной магнитудой и минимальным диаметром')\n",
|
||
"plt.xlabel('Абсолютная магнитуда')\n",
|
||
"plt.ylabel('Минимальный диаметр (км)')\n",
|
||
"\n",
|
||
"# Отображение диаграммы\n",
|
||
"plt.show()\n"
|
||
]
|
||
}
|
||
],
|
||
"metadata": {
|
||
"kernelspec": {
|
||
"display_name": "aimenv",
|
||
"language": "python",
|
||
"name": "python3"
|
||
},
|
||
"language_info": {
|
||
"codemirror_mode": {
|
||
"name": "ipython",
|
||
"version": 3
|
||
},
|
||
"file_extension": ".py",
|
||
"mimetype": "text/x-python",
|
||
"name": "python",
|
||
"nbconvert_exporter": "python",
|
||
"pygments_lexer": "ipython3",
|
||
"version": "3.12.6"
|
||
}
|
||
},
|
||
"nbformat": 4,
|
||
"nbformat_minor": 2
|
||
}
|