{
 "cells": [
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Quickstart to Parcels\n"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Welcome to a quick tutorial on Parcels. This is meant to get you started with the code, and give you a flavour of some of the key features of Parcels.\n"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In this tutorial, we will first cover how to run a set of particles [from a very simple idealised field](#Running-particles-in-an-idealised-field). We will show how easy it is to run particles in [time-backward mode](#Running-particles-in-backward-time). Then, we will show how to [add custom behaviour](#Adding-a-custom-behaviour-kernel) to the particles. Then we will show how to [run particles in a set of NetCDF files from external data](#Reading-in-data-from-arbritrary-NetCDF-files). Then we will show how to use particles to [sample a field](#Sampling-a-Field-with-Particles) such as temperature or sea surface height. And finally, we will show how to [write a kernel that tracks the distance travelled by the particles](#calculating-distance-travelled).\n"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's start with importing the relevant modules. The key ones are all in the `parcels` package.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import math\n",
    "from datetime import timedelta\n",
    "from operator import attrgetter\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import trajan as ta\n",
    "import xarray as xr\n",
    "from IPython.display import HTML\n",
    "from matplotlib.animation import FuncAnimation\n",
    "\n",
    "from parcels import (\n",
    "    AdvectionRK4,\n",
    "    FieldSet,\n",
    "    JITParticle,\n",
    "    ParticleSet,\n",
    "    Variable,\n",
    "    download_example_dataset,\n",
    ")"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Running particles in an idealised field\n"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The first step to running particles with Parcels is to define a `FieldSet` object, which is simply a collection of hydrodynamic fields. In this first case, we use a simple flow of two idealised moving eddies. That field can be downloaded using the `download_example_dataset()` function that comes with Parcels. Since we know that the files are in what's called Parcels FieldSet format, we can call these files using the function `FieldSet.from_parcels()`.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "example_dataset_folder = download_example_dataset(\"MovingEddies_data\")\n",
    "\n",
    "fieldset = FieldSet.from_parcels(f\"{example_dataset_folder}/moving_eddies\")"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The `fieldset` can then be visualized with e.g. `matplotlib.pyplot.pcolormesh()`. To show the zonal velocity (`U`), give the commands below. Note that we first have to load the fieldset with `fieldset.computeTimeChunk()` to load the first time frame of the fieldset."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fieldset.computeTimeChunk()\n",
    "\n",
    "plt.pcolormesh(fieldset.U.grid.lon, fieldset.U.grid.lat, fieldset.U.data[0, :, :])\n",
    "plt.xlabel(\"Zonal distance [m]\")\n",
    "plt.ylabel(\"Meridional distance [m]\")\n",
    "plt.colorbar()\n",
    "plt.show()"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The next step is to define a `ParticleSet`. In this case, we start 2 particles at locations (330km, 100km) and (330km, 280km) using the `from_list` constructor method, that are advected on the `fieldset` we defined above. Note that we use `JITParticle` as `pclass`, because we will be executing the advection in JIT (Just-In-Time) mode. The alternative is to run in `scipy` mode, in which case `pclass` is `ScipyParticle`\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "pset = ParticleSet.from_list(\n",
    "    fieldset=fieldset,  # the fields on which the particles are advected\n",
    "    pclass=JITParticle,  # the type of particles (JITParticle or ScipyParticle)\n",
    "    lon=[3.3e5, 3.3e5],  # a vector of release longitudes\n",
    "    lat=[1e5, 2.8e5],  # a vector of release latitudes\n",
    ")"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Print the `ParticleSet` to see where they start\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "P[0](lon=330000.000000, lat=100000.000000, depth=0.000000, time=not_yet_set)\n",
      "P[1](lon=330000.000000, lat=280000.000000, depth=0.000000, time=not_yet_set)\n"
     ]
    }
   ],
   "source": [
    "print(pset)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This output shows for each particle the (longitude, latitude, depth, time). Note that in this case the time is `not_yet_set`, that is because we didn't specify a `time` when we defined the `pset`.\n"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "To plot the positions of these particles on the zonal velocity, use the following command\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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1OXbsmOX6X3/9tclGvk5NTQ2amppatamurgZg9XoRBEEQRGeBPEpqOvSuhg8fjgMHDpjqPvnkE/Tt2xcA0L9/f2RmZqKsrEwcb2xsxMaNGzFs2DAAwODBg5GYmGiyqaysxJ49e4RNQUEBamtr8cEHHwib7du3o7a21mSzZ88eVFZWCpvS0lJ4PB4MHjxY2GzatMk0ZUBpaSmys7NNSegEQRAEQcQHHSqU7rzzTmzbtg0LFy7Ep59+itdeew3PPvssbrvtNgD+cNbMmTOxcOFCrFmzBnv27MGUKVPQvXt3FBUVAQC8Xi+mTp2KWbNm4d1338XOnTtx0003YdCgQWIU3IABAzBu3DhMmzYN27Ztw7Zt2zBt2jRMmDABubm5AIAxY8Zg4MCBKC4uxs6dO/Huu+9i9uzZmDZtGlJTUwH4pxjweDyYMmUK9uzZgzVr1mDhwoXKEW8EQRAE0RngE05GusUjHZqjdMUVV2DNmjWYO3cuFixYgP79+2Pp0qW48cYbhc2cOXNw5swZTJ8+HTU1NRgyZAhKS0vRo0cPYfP4448jISEB119/Pc6cOYNRo0ZhxYoVcLvdwubVV1/FjBkzxOi4SZMmYdmyZeK42+3G2rVrMX36dAwfPhzJyckoKirC4sWLhY3X60VZWRluu+025OfnIy0tDSUlJSgpKWnLx0QQBEEQbYrONOgswhylCM+PVTRG00q3K3V1dfB6vej78ANwdevW0d0hCIIgYhS9vh6H7/odamtrRWQj2vBv0iM7fojksyLznZw51Yw5V/yjTfvbEdBabwRBEATRxdGjEDqL1wknSSgRBEEQRBdHZy7oEY5ai/T8WCU+74ogCIIgCCIKkEeJIAiCILo4PmjwRThhZKTnxyoklAiCIAiii0OhNzXxeVcEQRAEQRBRgDxKBEEQBNHF8SHy0JkvOl2JOUgoEQRBEEQXh0JvakgoEQRBEEQXJxqL2tKiuARBEARBEF0M8igRBEEQRBeHQYMeYY4So+kBCIIgCIKIRyj0piY+74ogCIIgiJhm06ZNmDhxIrKzs6FpGt58803bczZu3IjBgwejW7duOO+88/D000+3eT9JKBEEQRBEF0dnWlS2UDh9+jQuu+wyLFu2zJH9oUOHcPXVV+OHP/whdu7ciXvuuQczZszA6tWrw7llx1DojSAIgiC6OD644IvQdxLq+ePHj8f48eMd2z/99NM499xzsXTpUgDAgAED8K9//QuLFy/Gz372s5CuHQrkUSIIgiAIImrU1dWZtoaGhqi0u3XrVowZM8ZUN3bsWPzrX/9CU1NTVK4RDBJKBEEQBNHFiWboLScnB16vV2yLFi2KSh+rqqqQkZFhqsvIyEBzczO++eabqFwjGBR6IwiCIIgujg4X9Ah9J/z8I0eOIDU1VdR7PJ6I2m2JppnzoBhjQeujCQklgiAIgiCiRmpqqkkoRYvMzExUVVWZ6qqrq5GQkIBevXpF/XocEkoEQRAE0cXxMQ2+EEetBWujLSkoKMBbb71lqistLUV+fj4SExPb7LqUo0QQBEEQXZyOmB7g1KlT2LVrF3bt2gXAP/x/165dqKioAADMnTsXv/zlL4X9rbfeisOHD6OkpAT79+/HCy+8gOeffx6zZ8+O2nMIBnmUCIIgCKKLw5gLeoQza7MQz//Xv/6FkSNHinJJSQkAYPLkyVixYgUqKyuFaAKA/v37Y926dbjzzjvxpz/9CdnZ2XjiiSfadGoAgIQSQRAEQRAdwIgRI0QydjBWrFhhqSssLMSHH37Yhr2yQkKJIAiCILo4PmjwRbiobaTnxyoklAiCIAiii6MzhJxjFKyNeISSuQmCIAiCIBSQR4kgCIIgujh6FJK5Iz0/ViGhRBAEQRBdHB0a9AhzjCI9P1aJT/lHEARBEAQRBcijRBAEQRBdnM4wM3dHQUKJIAiCILo4lKOkJj7viiAIgiAIIgqQR4kgCIIgujg6Ql+rLVgb8QgJJYIgCILo4rAojHpjJJQIgiCIDiFOk2QtaHE6tXMnQGdR8CjF6c8pCSWCIIj2Jk4/KBET6nMhYUW0AySUCIIg2gISQ22P3TMmIeUYGvWmhoQSQRBEOJAQin1ISDmGQm9qSCgRBEEEI05/6RMtICFFOICEEkEQXRsSRIQK1c9GHAooWutNDQklgiC6FiSMiEiRf4biQDhR6E1Nh2ZezZs3D5qmmbbMzExxnDGGefPmITs7G8nJyRgxYgT27t1raqOhoQF33HEHevfujZSUFEyaNAlHjx412dTU1KC4uBherxderxfFxcU4ceKEyaaiogITJ05ESkoKevfujRkzZqCxsdFks3v3bhQWFiI5ORl9+vTBggULwFjn/wdCEARBEERwOjxF/ZJLLkFlZaXYdu/eLY498sgjWLJkCZYtW4YdO3YgMzMTo0ePxsmTJ4XNzJkzsWbNGqxatQqbN2/GqVOnMGHCBPh8PmFTVFSEXbt2Yf369Vi/fj127dqF4uJicdzn8+Gaa67B6dOnsXnzZqxatQqrV6/GrFmzhE1dXR1Gjx6N7Oxs7NixA08++SQWL16MJUuWtPETIggiLJgWfCOIaBMHP2fcoxTpFo90eOgtISHB5EXiMMawdOlS3Hvvvbj22msBACtXrkRGRgZee+013HLLLaitrcXzzz+Pl19+GVdddRUA4JVXXkFOTg7eeecdjB07Fvv378f69euxbds2DBkyBADw3HPPoaCgAAcOHEBubi5KS0uxb98+HDlyBNnZ2QCAxx57DFOmTMGDDz6I1NRUvPrqq6ivr8eKFSvg8XiQl5eHTz75BEuWLEFJSQk0LT5/QAii0xCnv6SJTkonC89R6E2NI6FUUlIScsO/+93v0LNnT1u7gwcPIjs7Gx6PB0OGDMHChQtx3nnn4dChQ6iqqsKYMWOErcfjQWFhIbZs2YJbbrkF5eXlaGpqMtlkZ2cjLy8PW7ZswdixY7F161Z4vV4hkgBg6NCh8Hq92LJlC3Jzc7F161bk5eUJkQQAY8eORUNDA8rLyzFy5Ehs3boVhYWF8Hg8Jpu5c+fiiy++QP/+/YPeX0NDAxoaGkS5rq7O2QMkCCI4cfrLmIhzulBieLzhSCgtXboUBQUFSEpKctTo5s2bcfvtt9sKpSFDhuCll17CRRddhGPHjuGBBx7AsGHDsHfvXlRVVQEAMjIyTOdkZGTg8OHDAICqqiokJSUhLS3NYsPPr6qqQnp6uuXa6enpJhv5OmlpaUhKSjLZ9OvXz3IdfkwllBYtWoT58+e3+hwIgmgFEkZEPBMjnifyKKlxHHpbs2ZNUMERjB49ejiyGz9+vPj/QYMGoaCgAOeffz5WrlyJoUOHAoAlpMUYsw1zyTbB7KNhwxO5W+vP3LlzTR65uro65OTktNp/gujSxOkvW4JwRMuf/3b8t8AQ+fD+ePWNOUrmfvHFF+H1eh03+swzz1g8NE5ISUnBoEGDcPDgQZG3xD06nOrqatF2ZmYmGhsbUVNT06rNsWPHLNf6+uuvTTbydWpqatDU1NSqTXV1NQCr16slHo8Hqamppo0giBZ08iRYgogHKJlbjSOhNHnyZFNujh1FRUVISUkJuTMNDQ3Yv38/srKy0L9/f2RmZqKsrEwcb2xsxMaNGzFs2DAAwODBg5GYmGiyqaysxJ49e4RNQUEBamtr8cEHHwib7du3o7a21mSzZ88eVFZWCpvS0lJ4PB4MHjxY2GzatMk0ZUBpaSmys7MtITmCIBxAwoggiE5ARNMDnDp1CnV1daYtFGbPno2NGzfi0KFD2L59O/7rv/4LdXV1mDx5MjRNw8yZM7Fw4UKsWbMGe/bswZQpU9C9e3cUFRUBALxeL6ZOnYpZs2bh3Xffxc6dO3HTTTdh0KBBYhTcgAEDMG7cOEybNg3btm3Dtm3bMG3aNEyYMAG5ubkAgDFjxmDgwIEoLi7Gzp078e6772L27NmYNm2a8AAVFRXB4/FgypQp2LNnD9asWYOFCxfSiDeCcAp5jggiZiGPkpqQpwc4dOgQbr/9drz//vuor68X9Tyfp+X8RXYcPXoUv/jFL/DNN9/gnHPOwdChQ7Ft2zb07dsXADBnzhycOXMG06dPR01NDYYMGYLS0lJTDtTjjz+OhIQEXH/99Thz5gxGjRqFFStWwO12C5tXX30VM2bMEKPjJk2ahGXLlonjbrcba9euxfTp0zF8+HAkJyejqKgIixcvFjZerxdlZWW47bbbkJ+fj7S0NJSUlIQ1IpAgugRx+kuTIOIRSuZWo7EQp5bm4arf/va3yMjIsHhTCgsLo9e7OKSurg5erxd9H34Arm7dOro7BBF94vSXJUG0N3p9PQ7ffS9qa2vbLL+Vf5OufGs6ElKcp9gEo/l0AzZNfKpN+9sRhOxR+uijj1BeXi7CVgRBdHFIGBFEp4c8SmpCzlG64oorcOTIkbboC0EQnQnKNSKIuIExLSpbPBKyR+nPf/4zbr31Vnz55ZfIy8tDYmKi6fill14atc4RBBFDxOkvQYIgiNYIWSh9/fXX+Oyzz3DzzTeLOk3TwkrmJgiiE0ACiSDiHh1axBNORnp+rBKyUPrVr36Fyy+/HP/7v/8bNJmbIIg4gQQSQXQZKEdJTchC6fDhw/jrX/+KCy64oC36QxBERxGnv+QIgiAiIeRk7h/96Ef497//3RZ9IQiiI6CkbILo8lAyt5qQPUoTJ07EnXfeid27d2PQoEGWZO5JkyZFrXMEQRAEQbQ9FHpTE7JQuvXWWwEACxYssByjZG6C6ETE6S81giBCJxoeIfIoGei63hb9IAiivYjTX2YEQRBtQchCiSCITgYJI4IgbGBRCL3Fq0fJUTL3E088YVoA146nn34aJ0+eDLtTBEFEAUrSJgjCIQwAYxFuHX0TbYQjoXTnnXeGJHzmzJmDr7/+OuxOEQQRASSQCIIgooaj0BtjDKNGjUJCgrNI3ZkzZyLqFEEQYUDiiCCIMNGhQaOZuYPiSPncf//9ITX64x//GD179gyrQwRBhAgJJIIgIqSjRr099dRTePTRR1FZWYlLLrkES5cuxQ9/+MOgtu+//z5Gjhxpqd+/fz8uvvjikK/tlDYRSgRBtAMkkAiC6MS8/vrrmDlzJp566ikMHz4czzzzDMaPH499+/bh3HPPVZ534MABpKamivI555zTpv0MeWZugiA6GMpBIggiyvAJJyPdQmHJkiWYOnUqfv3rX2PAgAFYunQpcnJysHz58lbPS09PR2Zmptjcbnckt24LCSWC6CyQQCIIoo2IeMSbsQFAXV2daWtoaLBcr7GxEeXl5RgzZoypfsyYMdiyZUurfb388suRlZWFUaNGYcOGDVF7BipIKBFErEMCiSCITkROTg68Xq/YFi1aZLH55ptv4PP5kJGRYarPyMhAVVVV0HazsrLw7LPPYvXq1XjjjTeQm5uLUaNGYdOmTW1yHxyacJIgCIIgujjRTOY+cuSIKYfI4/Eoz9E08zUZY5Y6Tm5uLnJzc0W5oKAAR44cweLFi3HllVdG0vVWCduj1NjYiAMHDqC5uTma/SEIgkOeJIIg2gkulCLdACA1NdW0BRNKvXv3htvttniPqqurLV6m1hg6dCgOHjwY2c3bELJQ+u677zB16lR0794dl1xyCSoqKgAAM2bMwEMPPRT1DhJEl4MEEkEQ7Ux7J3MnJSVh8ODBKCsrM9WXlZVh2LBhjtvZuXMnsrKyHNuHQ8hCae7cufj3v/+N999/H926dRP1V111FV5//fWodo4guhQkkAiC6EKUlJTgz3/+M1544QXs378fd955JyoqKnDrrbcC8OuNX/7yl8J+6dKlePPNN3Hw4EHs3bsXc+fOxerVq3H77be3aT9DzlF688038frrr2Po0KGmOOLAgQPx2WefRbVzBNElIHFEEEQH03LUWiRthMINN9yA48ePY8GCBaisrEReXh7WrVuHvn37AgAqKytF1Arwp/zMnj0bX375JZKTk3HJJZdg7dq1uPrqqyPruA0hC6Wvv/4a6enplvrTp08rE7AIgggCCSSCIGIEv1CKNJk79HOmT5+O6dOnBz22YsUKU3nOnDmYM2dOGD2LjJBDb1dccQXWrl0rylwcPffccygoKIhezwiCIAiCIDqYkD1KixYtwrhx47Bv3z40Nzfjj3/8I/bu3YutW7di48aNbdFHgiAIgiDakI5a660zELJHadiwYfjnP/+J7777Dueffz5KS0uRkZGBrVu3YvDgwW3RR4KILyhpmyCIGINFaYtHwppwctCgQVi5cmW0+0IQ8Q8JJIIgiE5FyEJp3bp1cLvdGDt2rKn+7bffhq7rGD9+fNQ6RxBxAwkkgiBiGAq9qQk59Hb33XfD5/NZ6hljuPvuu6PSKYIgCIIg2hGKvSkJ2aN08OBBDBw40FJ/8cUX49NPP41KpwgibojTv7CIGKOzfKDon0PsEgWPUrz+vgvZo+T1evH5559b6j/99FOkpKREpVME0emhhG0iGsTbX/Hxdj9ElyBkoTRp0iTMnDnTNAv3p59+ilmzZmHSpElR7RxBEESXgASDGXoe7Q6fmTvSLR4JWSg9+uijSElJwcUXX4z+/fujf//+GDBgAHr16oXFixe3RR8JovNAniSiNWJFAHTWfJRY6UccwpO5I93ikZBzlLxeL7Zs2YKysjL8+9//RnJyMi699FJceeWVbdE/giCIzktbf8Q7WiSEe/1of0/lfsTn95roIMKaR0nTNIwZMwZjxoyJdn8IonMSp39JEWEQTfHS0UKorbC7r0j/OZFwCp1oeMPj9PdgWELp3Xffxbvvvovq6mroum469sILL0SlYwTRKYjTXwxECERDzERJEGkxKqxC/meiuo9w/7mRcLIlGjlG8ZqjFLJQmj9/PhYsWID8/HxkZWWJRXEJgiC6BJF8DCL8kERdCLVT6Myu346FVLQEFAknIgRCFkpPP/00VqxYgeLi4rboD0F0DsiT1HVoR2EUthBq77/koyywIhZSkQofEk7RSYwnj5KfxsZGDBs2rC36QhAEETu0g2hxLIxC7UusfLBkwRFmbpL8nNpNOHUhwURLmKgJeXqAX//613jttdfaoi8EEfvQ8P/4Jdwh5w7O01jwzbYtuc0Qh+2rrtvWW7j9dTr83/HzVLXrlHDPI+KKkIVSfX09lixZgsLCQtxxxx0oKSkxbeGyaNEiaJqGmTNnijrGGObNm4fs7GwkJydjxIgR2Lt3r+m8hoYG3HHHHejduzdSUlIwadIkHD161GRTU1OD4uJieL1eeL1eFBcX48SJEyabiooKTJw4ESkpKejduzdmzJiBxsZGk83u3btRWFiI5ORk9OnTBwsWLACL1+w1gugqhPsRtDmvTQRRkLZbFSxc2LfzFjVB5fS44rkoaaN33ulxKmwdvo94IeTQ20cffYT/+I//AADs2bPHdCzcxO4dO3bg2WefxaWXXmqqf+SRR7BkyRKsWLECF110ER544AGMHj0aBw4cQI8ePQAAM2fOxFtvvYVVq1ahV69emDVrFiZMmIDy8nK43W4AQFFREY4ePYr169cDAH7zm9+guLgYb731FgDA5/PhmmuuwTnnnIPNmzfj+PHjmDx5MhhjePLJJwEAdXV1GD16NEaOHIkdO3bgk08+wZQpU5CSkoJZs2aFdd9EJ4K8SPFHqL/YHdorhVEYbSs/9k5/Hjvs4+Wsf5qig+L25MN2oTzpOH9+ysdl174Kfl4c/Vqg0JuakIXShg0botqBU6dO4cYbb8Rzzz2HBx54QNQzxrB06VLce++9uPbaawEAK1euREZGBl577TXccsstqK2txfPPP4+XX34ZV111FQDglVdeQU5ODt555x2MHTsW+/fvx/r167Ft2zYMGTIEAPDcc8+hoKAABw4cQG5uLkpLS7Fv3z4cOXIE2dnZAIDHHnsMU6ZMwYMPPojU1FS8+uqrqK+vx4oVK+DxeJCXl4dPPvkES5YsQUlJCY3+I4hYJ1zRYHOeWsw4bytkQRRun0JsR30BZ+3afzeDGygFlF0zCuHjOMcpVAEUrtCKRaLhFYpTr1LIobdoc9ttt+Gaa64RQodz6NAhVFVVmSa19Hg8KCwsxJYtWwAA5eXlaGpqMtlkZ2cjLy9P2GzduhVer1eIJAAYOnSomGGc2+Tl5QmRBABjx45FQ0MDysvLhU1hYSE8Ho/J5quvvsIXX3yhvL+GhgbU1dWZNoIgCIIgOgdhTTi5Y8cO/OUvf0FFRYUlj+eNN95w3M6qVavw4YcfYseOHZZjVVVVAICMjAxTfUZGBg4fPixskpKSkJaWZrHh51dVVSE9Pd3Sfnp6uslGvk5aWhqSkpJMNv369bNchx/r379/0HtctGgR5s+fH/QY0QmIU1dylyLKITZbb42cWxNKG/LPW8jnh2gfLor25O5rNh4adbeCN6T0DKk8O4rr23qYIgnJddpfGRoi73ynvflWCdmjtGrVKgwfPhz79u3DmjVr0NTUhH379uG9996D1+t13M6RI0fw29/+Fq+88gq6deumtJNDWowx2zCXbBPMPho2PJG7tf7MnTsXtbW1Yjty5EirfScIIkqEGkqwsXecmN2yXjpXmWStG5vUliUBWvdv4rgubZKdbC82PUqb3N8Q+2OxE89H7i9/Pq0njSvfpU3ScVSTvztrYrPThG27LQ4JWSgtXLgQjz/+OP72t78hKSkJf/zjH7F//35cf/31OPfccx23U15ejurqagwePBgJCQlISEjAxo0b8cQTTyAhIcHkrWlJdXW1OJaZmYnGxkbU1NS0anPs2DHL9b/++muTjXydmpoaNDU1tWpTXV0NwOr1aonH40FqaqppIwiiDWlvgSSXg4gc68gwtW2rgkhxXCVgLMJFIUzC3hTtO+6X0/tVCSg74aT6iJNgIkIgZKH02Wef4ZprrgHgFwGnT5+Gpmm488478eyzzzpuZ9SoUdi9ezd27doltvz8fNx4443YtWsXzjvvPGRmZqKsrEyc09jYiI0bN4oJLwcPHozExESTTWVlJfbs2SNsCgoKUFtbiw8++EDYbN++HbW1tSabPXv2oLKyUtiUlpbC4/Fg8ODBwmbTpk2mUGNpaSmys7MtITkiDqD5kjofURJIjoewK9oxnedQGIUsiGwEhVpYSOdFuCnbtxFWju9HFlBOhVOwdxHsnSveqe00A/EomFr5eenqHqWQc5R69uyJkydPAgD69OmDPXv2YNCgQThx4gS+++47x+306NEDeXl5prqUlBT06tVL1M+cORMLFy7EhRdeiAsvvBALFy5E9+7dUVRUBADwer2YOnUqZs2ahV69eqFnz56YPXs2Bg0aJJLDBwwYgHHjxmHatGl45plnAPinB5gwYQJyc3MBAGPGjMHAgQNRXFyMRx99FN9++y1mz56NadOmCQ9QUVER5s+fjylTpuCee+7BwYMHsXDhQtx333004o0gOpJQfzkr7B3n/Uhly3ktBTZT2bReb3sNx32xKUeIZvmf4GVL7pLcEJPsmNlQU9ipU4vMR+RRdJbH4DCnSZnL5OQTEIptRxCNPw7j9I/LkIXSD3/4Q5SVlWHQoEG4/vrr8dvf/hbvvfceysrKMGrUqKh2bs6cOThz5gymT5+OmpoaDBkyBKWlpWIOJQB4/PHHkZCQgOuvvx5nzpzBqFGjsGLFCjGHEgC8+uqrmDFjhhgdN2nSJCxbtkwcd7vdWLt2LaZPn47hw4cjOTkZRUVFWLx4sbDxer0oKyvDbbfdhvz8fKSlpUU8ySYRg8TpP/S4JFYFEgti41AY2fUlbGEV6r3boPxnohBIFkFlZycOSNdzKJyst2WeJ8AifGQR05UFE2FBYyFOLf3tt9+ivr4e2dnZ0HUdixcvxubNm3HBBRfg97//vWUEGmGmrq4OXq8XfR9+AK5WktiJDoKEUuchlNBHECIWSIoRarI4CloXqjCyE0R2QkpVltuxwalAUnqUNKks28vHVaPl5OM27SrbM25c2R9VWe6HA9tw7PT6ehy++17U1ta2WX4r/yZ9b9l8uJIj+ybpZ+px9Pb727S/HUFYoTeOy+XCnDlzMGfOnKh2iiAIQkk7CyQnniOTXcvzQvT42AqqMAWUfB0Zx56lEIWSyqOkKQQMk46rhI7w7PB2meI8qXsqT5MyNBeOh8mpxyjWPEvRyDGiHCU/brcblZWVlrmJjh8/jvT0dPh8vqh1jiDaDfIkxT6dSSDxstMcJTthpNv1zaZdua/yeQ5R5STZeYhUITdLvctcthNO6hwl83GLYLIoJ0Vozq4hXownwURYCFkoqSJ1DQ0NSEpKirhDBEEQJmJMINmKkBZ7p54gXi8Lomh5mlS5PzKqZ2UXclPqjhA9R5Ykbm7vav08uxwlS/PSdZhsGYFgCjt/qaMFEyVzK3EslJ544gkAgKZp+POf/4yzzjpLHPP5fNi0aRMuvvji6PeQIAiiNTpIIDnKO5LrdEVbKo+Ryl4+bnsv0h4KOwWWb7/CMyQPAJaFjdACkvBReZaYWbeoPU7cXu6v5OlxHpoLXzBFJeG7A7CdQ8phG/GIY6H0+OOPA/B7lJ5++mnTqLKkpCT069cPTz/9dPR7SBBtSZz+BRQXRPuXbnsKJCAw/09LG1n42JVthFTYniZI9SHiOGlazi3idrJokENv8nG5XhZMvCgLIcPOInSk5ttCMIVNRwkqhsj/zXV1oXTo0CEAwMiRI/HGG2/Q6DaCINoGp79snXqS7MqiPkKBFKRsETiKsq1dmPVOc5c4miK1gkmuIjlXyWkSNpMEjhxacyqQLMJI7g8XSLrUP6k5+X6cCiZBsBMk04hCcXEqPDobIecobdiwwVT2+XzYvXs3+vbtS+KJIIi2x6lAsjnPMsw/WgKphVdIKYAkgaTyKNkJK/sQHZPK0r1AqlfiN3DqSeLCSs5RkkNuskBSCie5LNdL/RG9tgnNhSuYNPl5tCJ+Ok0ojnKUlIQslGbOnIlBgwZh6tSp8Pl8uPLKK7F161Z0794df/vb3zBixIg26CZBRJk4/QfdqWnrUJuBch4ku3ZCEEiAIWZsPEay4FEKKdt2zKEhZahP7rO4R4cPX14YXOFBYi6mqDf+R/b4uMx70U9J4FiEEK/mYsQlmfHz+XNwKJjsvT0KwRSs8c4Chd6UhCyU/vKXv+Cmm24CALz11lv44osv8PHHH+Oll17Cvffei3/+859R7yRBEESkobZQJ3e0Exe2XiC9FaGjOMfWXhZGdoKLtS6gnHqWAkJAEkCK5GouqOTRalxABYRRcG8ek/Yqz5IskKRe2gsmOUwGRVlqVzk9QDDjaIXiiA4jZKF0/PhxZGZmAgDWrVuH6667DhdddBGmTp0qRsYRBEE4pq3+ClUKo9BCbUGTtIMcDyZqVILHZec58sn1CmHk8LhSMDHzcVu4AFLmInGBJAsivpcElEo4ceHDxwzJ/TaO89tTaQylYJLemSXp26wHQ8td6qzChzxKSkIWShkZGdi3bx+ysrKwfv16PPXUUwCA7777zjQSjiAIIiqE60mS7cLMRbK0r/ACBRM9dh4ilyyIRJkp6s3HXc1Su4wFtVOHCyXXiR38RJdKMHHhYxZEsoDSjS+PRTi5WcvbADMuwNym2xMCSU5dUqHSLsokclkc25oFQnF2HqOY9SyRUFISslC6+eabcf311yMrKwuapmH06NEAgO3bt9M8SgRBEARBxBUhC6V58+YhLy8PR44cwXXXXQePxwPAv7TJ3XffHfUOEkRUoSTu2CHMvz5DHd3mGLsQnCKhWpmgHSyZW/YkWTxKzHxcquflgCdJ4UHi1+PnSSE25eg4G8Q0AdxzJIfceJl7gCyhN95Pv6GeIIXemNnDpLslNwt3aBm1cujNzikjj1ITz4lXS8nglqcSyq8Pm84oPUsdBY16UxKyUAKA//qv/7LUTZ48OeLOEARBCJwKnmiF3OTzLO1I59nNgaRbc5EsAkkKtcnHXVzoNCvsuDBqVgkmc6xKCCI5JMdRCSbVaDcRgjPnFjEfFzxSzlKCFJLjYoHbGdfX3VrL5qAjuKqQBZNSQHF9pxBGluRwRZjMNskbWvCRcMFOUtFBITiamVuNI6H0xBNP4De/+Q26detmm7A9Y8aMqHSMIAgiJEL8JW2Xk+R4NuzWRrTZCCQhhHyynZyDxMz13E4IJGnfLJJ8gp6v9CQ5FkpcORhlt1kYadzDlCAJJp48zb88vDsiB4k3yKQytzOEFFoXTGI+Jl0qi/sxdtK7VCV5K3OWnIiZjs49IiLGkVB6/PHHceONN6Jbt25iKZNgaJpGQokgiNaJVsgtQk+S3I5SONkII8sQ/xZl21FqdgJJCCPJc6SqlwWREFC6uV4efy95WpTw0JQQSjzZmgsiw0AII0koGcJJN96Nix/n3XDzyxh2xkMPlPll+UM2CzbLIrsqFxMXQpDqVT8b8mE5hGcqtjLHUstG7JK72xuGDknmfuqpp/Doo4+isrISl1xyCZYuXYof/vCHSvuNGzeipKQEe/fuRXZ2NubMmYNbb701gk7b40go8eVL5P8nCIKIOqH+sg33l7ut0DLKqtmwWxFIfG/1JMmhM6neEEguSRBxIWQVTLpkbzQocpoU5QiFEiShBEMgaW5/Q0yUuZDylwMCyWW+vLF3Sd2CJJi4QOPPT5dUh9BFsuiQBZLsUVLlKqlETDheolDPiYZwiXFef/11zJw5E0899RSGDx+OZ555BuPHj8e+fftw7rnnWuwPHTqEq6++GtOmTcMrr7yCf/7zn5g+fTrOOecc/OxnP2uzfoaVo0QQBNFehOxJUtXLniPFceUkjAqBJD6ywY6r5jmSQm+yB8kikMRel47zsm4qC2Hk85nLXIH4FILJDlkguaUptt283nANccVitO9iZoEUCK0ZQkpxOZfkfuGht4AHiXtvNFN3LEuMyKE42TNkjkxa3ykvtpKzJIsqp2Kroz1LWos+RNJGKCxZsgRTp07Fr3/9awDA0qVL8fbbb2P58uVYtGiRxf7pp5/Gueeei6VLlwIABgwYgH/9619YvHhxxwulkpISxw0uWbIk7M4QRJvR4X5tot3+OpZCbsp+2PRHJbAsHiRI9a3Mo2RNwjbKilCaRSCJvSyUfKYyeL3wKBl7XhZJ3j7zTeuKh+KS/v24DCFkJG1rPORmeIq4MEOCNMOjRVSaPUH8/0RytmY+jXuUeOjNZVxfl/SbLIjES5InsJRCckwWTMrhc1JZC3ZMdlt1Herq6kxlj8cjRshzGhsbUV5ebhktP2bMGGzZsiVou1u3bsWYMWNMdWPHjsXzzz+PpqYmJCYmRqH3VhwJpZ07d5rK5eXl8Pl8yM3NBQB88skncLvdGDx4cPR7SBBE16CNQ27hjm4LdW9ewkTyJCmH9wcPsVk9SJJAajIEkkUo8dgUF0rcsyQJJiFgHMbeuCASLjGjzD1LRpKREE6qmSIDDRrtGfcrFI4hmCQBFHh+kkASwsjwLOlmj5MlKTvUdyoJJ7tyq4QTtmsPojg9QE5Ojqn6/vvvx7x580x133zzDXw+HzIyMkz1GRkZqKqqCtp8VVVVUPvm5mZ88803yMrKiqz/ChwJpQ0bNoj/X7JkCXr06IGVK1ciLS0NAFBTU4Obb7651QQsgiCItiDieZVUniNFyE8+3tp6a1Ybs3ByKZK5A8P6JWHkVCCJvaHIZMEkeZYYcyaUNM2crC2EEs/C5kIswfxpsf38ilCYkdskJ7vz63EPkxBI/HlxzxavN9qVy7KHSRF5VI2Gs5+oSX2so0NrtjBELZn7yJEjSE1NFdWyN6klmjyikjFLnZ19sPpoEnKO0mOPPYbS0lIhkgAgLS0NDzzwAMaMGYNZs2ZFtYMEQRAAHAgexSi3UNuR7JTTAigEVsuh9+o13CRBJE0oKYfeRA4SF0a6WTgpBZLwJJk9SoyXZY+SzfQAYlQbD4G5JY+RzTJW4lPGP2o88if0F/cUmT9+jD8fSfhovuACSePzNhk/E/IabnbvzmnKVjDhZMlzsgvBxaqHKQJSU1NNQikYvXv3htvttniPqqurLV4jTmZmZlD7hIQE9OrVK7JOt4LL3sRMXV0djh07Zqmvrq7GyZMno9IpgiCIaEyAZ0LxF7O4jrzJ5zk8X+Qmmc5jxhakPRZoQ/Mx/6b7NxibqDc2NOv+zWdszT5ja/ZvPp9/M8pM2kR9U5N/48eaFJs47re3a1e+vuif6K9/s9wXv1++8WOqd2TzfOV3ofyZcvjubc+PAlH/uXdKq883hM0hSUlJGDx4MMrKykz1ZWVlGDZsWNBzCgoKLPalpaXIz89vs/wkIAyP0k9/+lPcfPPNeOyxxzB06FAAwLZt2/A///M/uPbaa6PeQYIgiA7BxiPlJOfJEqaT91KoTZNGoYlkbGlvrQ+ek8RkT1JTk6l9YadK4uZwTxifD0mMajP6A/9HSjhH5NFxon88tGaeZ4nH0kS98ARJz4f3w232FKn2oj+qss077kp0xMzcJSUlKC4uRn5+PgoKCvDss8+ioqJCzIs0d+5cfPnll3jppZcAALfeeiuWLVuGkpISTJs2DVu3bsXzzz+P//3f/42s4zaELJSefvppzJ49GzfddBOajH90CQkJmDp1Kh599NGod5AgiE5OB3907ASNnb0ylMekfbB62UYejm85blxLTBgJ816eeEgkZ5uFj6j3mYWTUiAZOUoqwSQEEhc6XDlxwcTbFyfI8yDw0XC6uSwneUvzSjF5lJrlOfKyprCTbkRRrxJO1jCa4niL6FrM5iDFIDfccAOOHz+OBQsWoLKyEnl5eVi3bh369u0LAKisrERFRYWw79+/P9atW4c777wTf/rTn5CdnY0nnniiTacGAACNMcfRWBOnT5/GZ599BsYYLrjgAqSkpES7b3FJXV0dvF4v+j78AFzdunV0d7oO9Nur43D6G8ZO0Nh85FQ5Ssq12CzeHem4Zc4j83HLciTNcplZJpB0NzJTWWsy6pt4krYxgSTfNxo5SUbyNngSd5PRMPcQ8dwko8x4jpJhZ/EsCeEkCSRVUjdPshZJ1XxCSUPJuKVyov9vcI0ndfOwSILbVGaJ/LjbKPv3epKxTzTmXTL2PlE2cpmMmb59SeaybjTLy1xw8XoxGE9avFeX6sXadfIgPikpXIyq01rYyonj8kLCkI+bq5kG6PX1OHzPvaitrbXN+QkX/k3q98CDEX+T9Pp6fPG7tu1vRxD2hJMpKSm49NJLo9kXgiCI9ifKHi/L+mloIb7aivD+3rUXSAFDY8cFUagXalu3our58nfBopUpLWJ30WkupohGnlWchixpZm6CIDoX8mzL0WovSojZoVt00OJlUJ7jrN6CnBPEESEvKTTGT5NCao49Sipc0vggVb8UMIWdut7YK4Ylqc4Lm2g2F49iK04hoUQQRNsSbWETLeS5dMxT9ViwLE2hCqE4gKn0g2UNNW5vHgYfWEJEmr/IZQ6BcY+RKPPkaGOKaiaStLlAsnEVySE3lzRNgDxtgDSdACQ7+f6Ua8mJ63P71rtp7Xfwshy1VaEMl8URHZHM3VkgoUQQRFxjN5uy0p5X2H0UpY+3adkMS56K1LjIgTFCRNzDI/QFFxh8dBifCVvKPnZLydGyYJK6wXOUhIfIYY6SmGhSFkTG3iKQ5Jm7lWVzu8IDJz0P+fqW56nYW/KFVATJE2oN+XinToWM4szc8QYJJYIgCILo6lCOkhJHQumvf/2r4wYnTZoUdmcIgiDaDEUIUB0Ga30veynkFemZK5hnhIljLfcQ8xMZ9YbniKkWl+UhNFFu/Ve5yEXioTKx9Ih5Rm6mWPNNk0NokmfI4knio934KDdeNuxZgmIvnoNRdpv7LT83ledJNfKMqTxMqj3MZaXDJD4dKYSBI6H0k5/8xFFjmqbBp0gaJAiCCAVLiMwu10kylCcXdIxDQaSy41EqpmtWYeQOHGtZr4l6KQTHBRJHnldJ6kqgQhI2fGJIIXCCr/WmqSae5AJLtdabSijxEFuCefg/n7AysFcIJn77FsEkCUuLQJJzoIx2bN6d0i4EVNMCKImR8B3lKKlxJJR0pytLEwRBtDN2OUcWgaUFLToWRpaV6KUya1EvHD5inh7NbCTNDeUyGtOFEnKZLmFBTn7muUl8XiUuVMTElNKElLJniqObk8MFcm6QyDVyS2UufLhHSRJCXCAlmut1vjfmSeLH+fxGYs/nSXKbBZXjvfwuQxROypynVkROzKfvUOhNCeUoEQTRPth6hGyOR2hvSdK2C8GFKJCEJ4kfd0MsxaEbydfiFF5v7aVhJwkmLoC4HhKLyvIK3bznnqhmeckTrjCkRXBlTxJP6tYkoSQnU4ukbS5YuAfJFbwshBIXRrIgUggkPpEkF1DcThJQKk+T7FlyKpichtxCEkGxLpgIC2EJpdOnT2Pjxo2oqKhAY2Oj6diMGTOi0jGCiCrykCei0+A0BBcQQooQnHSayCmSjtt6lhSCSXSnhZdIzPAMLozMnXaJeqlTxs3yUBczZvJ2CSFgHDeEkovnCiXwmbeN44lSWRZI0hIiwSbLBKyhLNmzxKTRa5ayLIxEqI0LSc1U5kJInmk7UG90222uV4biJMEkjzoM15MUtCyF3JzmNXX4r6YohN7Io2Swc+dOXH311fjuu+9w+vRp9OzZE9988w26d++O9PR0EkoEQURGtDxLdjlL8odJCpOF2o1g/eJrvgZ0hVkI8Y+jS072NuxEDnWLvCcA0LiHyicJJ7HoLBdSZo+REEI+qWygXNFKynRn0rQFASEleXzknCKVMBI5XObjeqJcz8swtyMvSWIjmJwKKstEloqQm0kwqdRGqEKopehqDyj0piRkoXTnnXdi4sSJWL58Oc4++2xs27YNiYmJuOmmm/Db3/62LfpIEEQ8EaYCsfUsyR4imxCfpRkuSnSp7LC7QvS0sHfJx4y9Lk0gyQWSSx69JdaTM+y5wOECQ3iKjAuJsrlek4WR8Hrxepubk+5Dnr+ICyVmyRmSBJWUqyULJJUAsniOJMHDj/MHrkuCRz4eqkCSQ3NO5mVymsfU4Z4kwpaQhdKuXbvwzDPPwO12w+12o6GhAeeddx4eeeQRTJ48Gddee21b9JMgogOF4GIHOwViF2JzKpichuJ42U4wKcIyfC+8SHogd1qTPuCadA1Nyq3hwkY3GgssyGsIJkMI6VxA8XZkgaSbhZF4Zqp6Gyz3zvsth6Asw/WDCxy5Xpc9PQphpCxrinqFELIIoBAFUrARbhELpI761UQeJSUhC6XExEThPs7IyEBFRQUGDBgAr9eLioqKqHeQIIg4p70FE69nkoG8h1SWc5Okj2Ww0XEWQWQezAZ55ZCAnVkA6RYhJAsk3jezkNJ4mc/aIt2beHZOF63lniOFCBACRRJMshBxPA+SQujIHiOlveK6qmkDrIKv9eOywjTlKEGybWkTjA7+242mB1ATslC6/PLL8a9//QsXXXQRRo4cifvuuw/ffPMNXn75ZQwaNKgt+kgQ0Yc8S7FHOwmmQHM2niYucqS8Z4ugEt4Vo1pvcZ6UOy0EjR7EtkW9JtlbhVDr51kFE8xYPEny1zx4tThsk6tjEUjyM1IJEcUwfuV5dsJIcb5a+Di1UyRqa4r/D2arsCNij5CF0sKFC3Hy5EkAwB/+8AdMnjwZ//3f/40LLrgAL774YtQ7SBBEF8OpYOIoNK/d9yegEcxigkkNMVlUKPbCrsU0AfI5AcEjtWkrfBTnSzdj7aMWvB6SfYgoPUpOhYd8nspz41TwhBwic2gn+ulAGEnliIVRMO8U0SHIOf225OfnY+TIkQCAc845B+vWrUNdXR0+/PBDXHbZZSG1tXz5clx66aVITU1FamoqCgoK8Pe//10cZ4xh3rx5yM7ORnJyMkaMGIG9e/ea2mhoaMAdd9yB3r17IyUlBZMmTcLRo0dNNjU1NSguLobX64XX60VxcTFOnDhhsqmoqMDEiRORkpKC3r17Y8aMGZapD3bv3o3CwkIkJyejT58+WLBggXqUCNE5iIa/mWgbNGkL0Y6v8Sk2l/FB5XYuYzPK/DhzMdMGYxPH3f5NNzYmbXqCf2MJgf8XW6KxJfk3n7HpHv/m41s3xZZs3pq7+Td+vDk5+NbU3b81S1tTmJuqHdX1Rf94f6X7UN6v8TzE8+HPi2/8eUrPmUnP3/KO5HfHfzbEu5Y3hz87LX7eovVz3G6wKG1xSIdOOPm9730PDz30EC644AIAwMqVK/HjH/8YO3fuxCWXXIJHHnkES5YswYoVK3DRRRfhgQcewOjRo3HgwAH06NEDADBz5ky89dZbWLVqFXr16oVZs2ZhwoQJKC8vh9uY/bWoqAhHjx7F+vXrAQC/+c1vUFxcjLfeegsA4PP5cM011+Ccc87B5s2bcfz4cUyePBmMMTz55JMAgLq6OowePRojR47Ejh078Mknn2DKlClISUnBrFmz2vvREdFGFksUkos9nLqIbOzEq1XYW34UxP8EPyCakQ+3/BlS5ga1fm1V3pSttlccb6u/CcL1nig9NHZhK9kDpLpesByiVu2D9TJKYbMY/5VCOUpqNBaiS+TYsWOYPXs23n33XVRXV1s8KpGu9dazZ088+uij+NWvfoXs7GzMnDkTd911FwC/9ygjIwMPP/wwbrnlFtTW1uKcc87Byy+/jBtuuAEA8NVXXyEnJwfr1q3D2LFjsX//fgwcOBDbtm3DkCFDAADbtm1DQUEBPv74Y+Tm5uLvf/87JkyYgCNHjiA7OxsAsGrVKkyZMgXV1dVITU3F8uXLMXfuXBw7dgwejwcA8NBDD+HJJ5/E0aNHA/OjSDQ0NKChoUGU6+rqkJOTg74PPwBXt24RPSuiAyEhFb+E+8s+hPMcf1CibdfRhBJ2ckDI/wzD/WfbQf/c9fp6HL77XtTW1iI1NbVNrlFXVwev14sL7l4Id4TfJF99PT596J427W9HELJHacqUKaioqMDvf/97ZGVlKQVCqPh8PvzlL3/B6dOnUVBQgEOHDqGqqgpjxowRNh6PB4WFhdiyZQtuueUWlJeXo6mpyWSTnZ2NvLw8bNmyBWPHjsXWrVvh9XqFSAKAoUOHwuv1YsuWLcjNzcXWrVuRl5cnRBIAjB07Fg0NDSgvL8fIkSOxdetWFBYWCpHEbebOnYsvvvgC/fv3D3pfixYtwvz586PyjIgYIl7/dCKskwy2xTWiLQQ6y8+jwxuKupCMkA57vO194U7yY9TehCyUNm/ejH/84x/4j//4j6h0YPfu3SgoKEB9fT3OOussrFmzBgMHDsSWLVsA+KcgaElGRgYOHz4MAKiqqkJSUhLS0tIsNlVVVcImPT3dct309HSTjXydtLQ0JCUlmWz69etnuQ4/phJKc+fORUlJiShzjxJBENElak4+p+EX+SMWwgiowLA2h9eQw4Oh9sWuPlJUH1hLKDF4orxsLyfUq0OS8gO0u37r/VHpkmjoh5jXstHIMYr1ewyTkIVSTk5OVBOYc3NzsWvXLpw4cQKrV6/G5MmTsXHjRnFc9lgxxmy9WLJNMPto2PDn0Fp/PB6PyQtFEER4tJUQciyAlPk0rYge6ZimOocfh2xvVw7eZ24n/2rSnAoqO1rLxwJaLCUX/GHLUy3Ic1pZ5riSh8tJQsk6dYO/3lZgWZZwkeykfove2AmwINj9/Ma8kOrChCyUli5dirvvvhvPPPOMxcMSDklJSSKZOz8/Hzt27MAf//hHkZdUVVWFrKwsYV9dXS08OZmZmWhsbERNTY3Jq1RdXY1hw4YJm2PHjlmu+/XXX5va2b59u+l4TU0NmpqaTDbcu9TyOoDV60UQRORELIzaWBAxRb3maiFSRFvMdEwWPpoY3u4vu0QbZnuXZq6XBZHT4+LWwvw6ywJIlwQLE2UtpOOyUOIzkwtBpJuPC4GiSy9PWqqF6ZI9f6wKgWUVSlJ7mmTPdy3PC/HRWqa3aGfhRMncakKOxt9www14//33cf7556NHjx7o2bOnaYsUxhgaGhrQv39/ZGZmoqysTBxrbGzExo0bhQgaPHgwEhMTTTaVlZXYs2ePsCkoKEBtbS0++OADYbN9+3bU1taabPbs2YPKykphU1paCo/Hg8GDBwubTZs2maYMKC0tRXZ2dlQEI0EQBEF0GKrh/qFucUhYHqVocc8992D8+PHIycnByZMnsWrVKrz//vtYv349NE3DzJkzsXDhQlx44YW48MILsXDhQnTv3h1FRUUAAK/Xi6lTp2LWrFno1asXevbsidmzZ2PQoEG46qqrAAADBgzAuHHjMG3aNDzzzDMA/NMDTJgwAbm5uQCAMWPGYODAgSguLsajjz6Kb7/9FrNnz8a0adNE5n5RURHmz5+PKVOm4J577sHBgwexcOFC3HfffVFLaCcIIgJPUqQepFA9R7xe8hKhhTfH4kESi9+aPUzcs+OSPEpuY40TXubH3cbMk7wPwk7yJCUIO/O9u6TryfB6XfEydNkTZMA9Pc1GRrzsMfLpvN5v7zPsdMmDxO14WZc8UNxDxI/LHiNe5vbCYyc8ULy/Ur1TT5N4bFLorsUPoeXJheFhilPd0ekIWShNnjw5ahc/duwYiouLUVlZCa/Xi0svvRTr16/H6NGjAQBz5szBmTNnMH36dNTU1GDIkCEoLS0VcygBwOOPP46EhARcf/31OHPmDEaNGoUVK1aIOZQA4NVXX8WMGTPE6LhJkyZh2bJl4rjb7cbatWsxffp0DB8+HMnJySgqKsLixYuFjdfrRVlZGW677Tbk5+cjLS0NJSUlpkRtgiDCp80FkjKkFtyOWcJkhp1KGFnED6BJQkeTBE+Cmx/3790usxByS4JJ7I3jCS7z3mV8WhMk4cQFkyyMXIp6FQGB5Apa3ywJn2YueGAu872PucB8Omo++gqN355Cwtk90CMvB3qCWxwHAJ8QRsb5PvN1rMKJCzJmOi4ElRwqE8LKsOevWIT0uKHdDykLhAnla8hNxRgUelMT8jxKgH8o/5tvvon9+/dD0zQMHDgQkyZNMokTIjh8zgqaR4kg/LSbQArRcyTnDQUSFRTCiK8N10IcCU+QLITcZuGT6JLLPlM5ye0vJ8gCSZTl4/5yohBCZkHkBgtab4cslHzQgtY3MS6I/N+EZkX5yIZD2PvEP1D/9SlxDc85Z+H86T/COT+8EE2GPfcwNXGBxfe+4EJKVwknscaeJJz4D4G0ph6Tyo48TfIxfgVL3hNs0c/Uo+Ku37XLPEoXzVoItyfCeZQa6vHJYzSPEj799FNcffXV+PLLL5GbmwvGGD755BPk5ORg7dq1OP/889uinwRBxBmdTiCpPEdSOM3lDogP2WPEyyphlGgIoiSjLAukJHezqexxGWUhjHym9hM0cz33RHHPk1sSUnYIgcTMniKfEEhcCPn3XNiIekP4NOgJOLzhC5T//j3LNRq+PoV98/+K//zDePT8gT89osnnP88tCyeX5GEyFgHmZc1YnFc35kHWuVtQzv3mt88X8+WLCbu4YDI8TcYJgR+51jxN5szvzuZhIgKELJRmzJiB888/H9u2bRPJ28ePH8dNN92EGTNmYO3atVHvJEEQ8UO7h9gU7URLIHHvkGYJkzFxjAshIZTcPlN9kiSQuhmCKMkQQh4hkPzHuUCS9wGhJJW5UDJcJrJw4rgUX21deqiyMPLBXBZ7PcFUbjDKZ5pcKF+yNei1OPuf3ISrftgPmtuFRv5MfbrRrr89zRBQvN9N0rv36ZJXxxBKPsU4prAFU7DHJh+MdcEUjWTsjr6HNiJkobRx40aTSAKAXr164aGHHsLw4cOj2jmCIAhbVGEjlSdJPk8+HqIHSRZIXAwluHURIpOFES8LQSSEUrNR3wRALYj4vpuL2/n33TT/XhZIiZpxHaPMPUhcOLl5cjeCe5Z0cE+SWWhwD1OjEEhmYdTk8u/rWSIAoEH37yvLT+BU9Zmg1+KcqT6NU3srkPGf2UgwBBb3pNX7eH95CJELJ/+5zfzd+cyCiPfbZWScqPxoKsEUSFQzix+r6oFVNGjSOTEG5SipCVkoeTwenDx50lJ/6tQpJCUlRaVTBEEQAjtPkmznONRm7GR7noOkmotIkZjtlgSUW9MdCyQujJKNPRdM3blgMgRQd7d/ehJZGAnBZJS5IOL1XChZPEoILpC4p8knJ21zwWQ8LKtHyf9JqTcEERdQ3QyhVK/59/q3dXACq6lDSkJvuHyhfYF55q1uCB23SNI29vxd8fuSBQ//WRH6R2u5s6QhmUNxih9Q6RZizrNEHiUlIQulCRMm4De/+Q2ef/55fP/73wfgn5fo1ltvxaRJk6LeQYIg4oOo/yEd4p+vlmH+cjtKoWXsXOah9vJQfpeUd5Tg1gM5SIrcIzuBlOxqNMr+hbW7GYKnu8soKwRTN81/nvAowbiuJRRnvhcOr/dJH30xzF8SSsKjZHh2+PXrmf+P53rdfN2MdGc/DKnneMQzCYY8PQEPESa4NVOZCx6XmGbA8ChJ75ZxYWgRz7wc3JMkQnFOfiRj3LNEWAlZKD3xxBOYPHkyCgoKkJjo/+ugubkZkyZNwh//+Meod5AgCKJVHOYkyeVQPUlirxBGgaH9gVCcPIxfDrHJe6cCSRZKKbzMQ2/gHiWjfZhHwSXKo9+MJ+BWPEvu0OHCIiCUfMbeCMHBCLUZoTI59OfS/de/7Pvd0DMzCd8ea1Tm96RmJOP8/LPhMp6Jvx/SKDtJEDUb7QtPEh/t5uIeJS6I/O0x4841PqpN5YW08SyZcrpVYqmjPUZ2kEdJSchC6eyzz8b//d//4eDBg/j444/BGMPAgQPFMiQEQRBRwWnITbZXeY4s9qHlNgnhxKuFgDIfbzn5o2UYv7QPCBc+uk3OLeLJ25LHSCGQAnsjh0m04+9bovElSzI67zLuxi2VZXTjfJ+U29No/F8Tb5+ZxWM9kz4xXJElAjf/vg8eu/2QVVwYXRh/1yVISmAAfEg0Mu2bDY9Vs+J58ufNQ4ZuUeYCRxK//JJCGEm5SMowbyteoWD5SoBSRMRKCI5ylNSELJQ4fLZsgiCIToFTYcSLkhCS12dzSR9dlxTGcmu6ZUJIMd+RtOfD+ROl3CKrAJKStrnnSCGQugkhBsNeM8qGkEBwwSQjBBIXTFJuE/dMuW2+7lzAdNOaUDjuLLAnz8eKByrwbVXAa3R2hgcT7x6AvNG9cdLnv49mF08WN56b0Y517+8P9yz5jPt0QXpXmvl+Ap4ic1ncjfxYOlmiNhEZjoRSSUkJ/vCHPyAlJcV2JuolS5ZEpWMEQRDRwLLYqM23TF7uw85eFkwthZQsngIiyiwsZE+SPBEkD10FRq+ZR7ElWjxU/Dx/n7hA6qbx4fRcMJnLKhL44C8+DJ/x6QV4DMoYbiYJKZ8hpPie95eHyoaP64Ghowdi5weNOPF1I5J6nYUL8s9GveYBoIvn0SRyqhJMz09+rvLzVi0K7FPcpxxS4+czxfMR9i10Uqf1qlDoTYkjobRz5040NTWJ/1dBa54RBCETs39kWwRU67/lrblLZnuns1sDLT/owUebBTw05uH7blkQCI+O+bxEcb7Zg6QSSG5xPPj8QrpYHI0LMbOHh7ev8+NcUEn34RL7wP24E4C8of5lqU76ugFgaNIDXrmWuKQJM50ivxvVu1QLIp7jJIXk4kgYUOhNjSOhtGHDhqD/TxAE0e5E/bdxdNtrTTCpPvBuxYw+slBQHVeFvoLLnpbnty6QAu2YR4PpLLhPRm5F7pe4H8UjUt2v6vnYCaZQxKszFPlH4UDhuk5D2DlKBEEQ8UF03QPykPX2QB7G7/g8PrOiyLNq3aMk7EO9TjSERRhE/13Esaih0JsSR0Lp2muvddzgG2+8EXZnCIIgbLEMEwq3HWMv8kyMhF6b3/ZM8fF18lHmuTmWJUHEzNfSTNJibTXNtOdrlonjmrRILcyj0wJlvhdTTxs3ZRZMMlwgyedb24Vpz/sj319gjTh5r7h/ScCpnqMK1btRvUtbu2gIgljzJJFQUuJIKHm9XvH/jDGsWbMGXq8X+fn5AIDy8nKcOHEiJEFFEETXoKMjDPL1eeKtKqVSFkwiUVeeZFCa00c+X2da4IMu2QbmA3KZjytmvA7MiG3eNxnzFiXx+YzAR7OZc5k4IhQlco3EEaMfqjRnGP0wpgNgPEmbJ3f7942Ml/l9mO+P91e+D/n++P1bn59ZOMrPVbaXBY6qnol6BK1XIdvHa45OV8eRUHrxxRfF/9911124/vrr8fTTT8PtNn7ofT5Mnz4dqampbdNLgiCIdkYIKku9+WPsluxb2lk+5EI4cEHAh7Ubv0uZ2TNkWWRWrKVmXuSWT/RoGf0lkrB557hA4oJNTrZWeMvEKDazB8kikIzzG2GegLJReR/S2nBCIJo9TIHj5udnEZpKISTdj8JOZd8V0BB5YDHGfGRRwy7Xz8ILL7yA2bNnC5EEAG63GyUlJXjhhRei2jmCIAiCINoBFqUtDglZKDU3N2P//v2W+v3790PXw0v0IwiCsBDtX7xMCx7/s/mFz5jm9zwo+sOYf9PhD7X5dBd8ustfZuatmblMmy42//Em5vZveoJ/M8qNLAGNLFCu1xNRryeK+nqW6N/0BP/G+OZCPXOhgWloYBrqGTM2HfVMR4Ox1TMf6pkPDQi+iePCnm/+9gLtu4zNuL7oj79/or9G/1X3J99/4Bn6n5f1OUrPOti7gCbelepnQLxrhz8btj9b4dBBgoNPDxDp1lbU1NSguLgYXq8XXq8XxcXFOHHiRKvnTJkyBZqmmbahQ4eGfO2QR73dfPPN+NWvfoVPP/1UXHDbtm146KGHcPPNN4fcAYIgCCfY5jpZfkkrkr550S4pXLITeSyK3CU5JKczDc3GWmPNLvPM0SJnRwq9ufj8QWL+pODzKvF15lwsMXjfpVxt3Zhi0SdyjPztJYpQHb/X1r90vFmegxQIEQZf663e6J+856G4et1fbrDsE0x7a+jN/KybjXr+vFWhODkXSbxikcAmzTipojU7+ZhNW5TX5IyioiIcPXoU69evBwD85je/QXFxMd56661Wzxs3bpwpfSgpKSnka4cslBYvXozMzEw8/vjjqKysBABkZWVhzpw5mDVrVsgdIAiCiAhp9Fr4x6WEXpGjFFwY6TofccZPN8SMUfbpLpEzJASTMTqtUfP/6lXN1N2kmXN2+JppLj46TXbeS7EBkdRsXLeJz+zNZ8g2hFOjw6VHOD4pWZoLoyaRS8QFkn/fyCTBZAih73SPuV6Rq9SsGzlOhmCS9+K58nfBc7z4YrjGbfmM1Xx5vS6Ot57EHfAuORVQYR6LBaLhyWqje9y/fz/Wr1+Pbdu2YciQIQCA5557DgUFBThw4AByc3OV53o8HmRmZkZ0/ZCFksvlwpw5czBnzhzU1dUBACVxEwTR/oQ4TYDt6De5GWa2E54lnh/tDi6g+Mda0wOLssqeJe454ou8Nkij1OQZuy1wYSR0kyEANC6MjKRo43qJhvDgS4jUKzxWqgkadcmDFBjmbwg/LnBg9hQ1KYQSL3+n+/+6556k73y8bPYoNfi4MOICynieCk+STxJOSk+SHtzTZPEGWYSUuRySVyjWpgVoSZSEDtcGHI/HA4/HE3Z7W7duhdfrFSIJAIYOHQqv14stW7a0KpTef/99pKen4+yzz0ZhYSEefPBBpKenh3T9iCacJIFEEIRTwp4mwM4jpLIXF5aPS8pIsXy7EFLMbMcYF0ite5Y0TRMfbC5AGn186RCjzJcSMQQLFwayUFIKGDF/knk+pcASIwlGma8V5xdKfK04Fx/1ZjNjNkeeB6nR4gniniRzmQujBt3sQRJlRciN77kgapSEEn+esidJzMvk1JMkhcssniQEt1PmvLXcOyXWPU4hkJOTYyrff//9mDdvXtjtVVVVBRU36enpqKqqUp43fvx4XHfddejbty8OHTqE3//+9/jRj36E8vLykISbI6H0n//5n3j33XeRlpaGyy+/vNU13T788EPHFycIgggVpeBSCSpJGGlSdUAQSefLH01ZMCk8Sy2FU7PkqZEFEscqhILnUeiS10p3SdMJGO1205qMMl+LzV/PQ3xcOMlrydkhBIiY7yjBVC8P9+cCiZedCqMzhmepUQ69+dymeiGMuIfJZy7rUgjOzpPEZCHEkb2LBposiloTThKxlpsUzbXejhw5YnKkqETJvHnzMH/+/Fbb3LFjh7/tILqDMdaqHrnhhhvE/+fl5SE/Px99+/bF2rVrQ5r30ZFQ+vGPfyxu9Cc/+YnjxgmCINqccGfqls9TxOTkVTsCK8YbAknnkx0aITfDO6PpmvDwNLU+jyNcPlXf/YLBMm8QzKEmLkQ8Li6Q/OVEIZTM8y6Jsuy5UqyppktJUPL8RvJEkfKeC6QmQ+A0cA+TL7hQshNITUa5SSoLAcnfieT1Cwgk40aE6DXvLTlJlpm5wwifxXLIDYhqjlJqaqqjiNPtt9+On//8563a9OvXDx999BGOHTtmOfb1118jIyPDcfeysrLQt29fHDx40PE5gEOhdP/99wPwTyw5YsQIXHrppUhLSwvpQgRBEED0QnC2niXrlU0GoiR5G5R6i9sJLWF8fDU+ks04X3xsXaYwHAC4dC6meJax+RLiw+7mH/rgM3cHPEj+4x7m9xBx4ZDoMgskvuchPV7miNF0tjlKZsEkZtC2TAwpCRkhmMwep0YpB6lRFkoKgdTsONSmGP0mhJNxIza5SZYEf5UnqaXYcOpJijHPUnvSu3dv9O7d29auoKAAtbW1+OCDD/D9738fALB9+3bU1tZi2LBhjq93/PhxHDlyBFlZWSH1M6QcJbfbjbFjx2L//v0klAiCiC0i9SzJOUviq6hK9PX/D/8Yi/xq7nLSAzlEzapLu5ypRYtQ4sPipdFxQhgZCiBB9ihpfAZuc26SbfK46IdqzTazUGoWQkmqF8KJ5xxxj5GUi2TjQeJCqEkKuekqgcTLkkfJdnSbk5wkO2Ldk2QQzdBbtBkwYADGjRuHadOm4ZlnngHgnx5gwoQJpkTuiy++GIsWLcJPf/pTnDp1CvPmzcPPfvYzZGVl4YsvvsA999yD3r1746c//WlI1w85mXvQoEH4/PPP0b9//1BPJQiCiJy28izJkTdIFdxOD/7h41KDe490V+ADzn/RyoJJtVirLIwSuNfKKHPBkWB4jpIMj1JAOPFQW4LJzi1ypYJ7kNyK0JtlUVrRP7NHh/fLJ/VTFkZi9JokjORyQBDJITajfUkgibJKICn2Vk+SJI4NWvUk8X1n9SRFMfTWFrz66quYMWMGxowZAwCYNGkSli1bZrI5cOAAamtrAfgdO7t378ZLL72EEydOICsrCyNHjsTrr7+OHj16hHTtkIXSgw8+iNmzZ+MPf/gDBg8ejJSUFNNxGglHEIQT2myxXKcTSSqVFjOZabK98DxJ7THzR9kFv1gC1IKJucx95B/4RCMmx8sJLj1oOUEMjzcLpwTd7ClKlMpi/ibFl80lwonBF2+Q51OS167j5Wapf/JwfjF6TRrNJjxUkmASx4UAciaQlJNAKke9KY4juH1QOoknqbPQs2dPvPLKK63asBbKNjk5GW+//XZUrh2yUBo3bhwAv5prmW3Os899PpusRYIgiGgQrmdJcTwggxyG4izOF34hHpYKpEDLgsklPBbmRuSQEJ+HiTFJOPHQmiGAuHByccEkCSIuoALzNJkfSqiht0DZ7PnigkieMVuUFfMfyZ4jnySIuHCyjmqzCbFJuUiOk7alssWTJNPK8Zj3JBnEcuitowlZKG3YsKEt+kEQRBel3T1Lll/milCcmE+J1/PcI6MBl71g8hnn8vmKuAcpMBeT+UzdxYWH2YPE927jYj5DIDUKISQJJkkQJbjcprILslBy9oWTQ4W65FmyLCECSSBJ8xhZkrItydlmQWTJRbLxINkKJJHMLeehKQSSk+VJOqsnKcZDbx1JyEKpsLCwLfpBEAQRHnaeJYtHSDpPoBBM/CPrCkMw8Xwlo0b2MPH/4aE47tjhgslnXNPNhRIXEi6zx8hnXLzJmGbALR3nM4G3tVCS90LoQCpbZtAOLozkpUjsBJKccxSyQNLDFEhBQnSdxZMkIKGkJKyZuf/xj3/gmWeeweeff46//OUv6NOnD15++WX0798fP/jBD6LdR4IgugDR9iyFPjElpANREEzSNXThqTCMXPxKLvO1jCbd0sg6WTiJ0Wsu87QDXBiJsiSQNEvoLTyhxCTPkTwMXy6L3CJZOOkKOy6U+PVUoTVJGMlCKWoCScZJqI3o9IQslFavXo3i4mLceOON+PDDD9HQ0AAAOHnyJBYuXIh169ZFvZMEQXQd2mypE8sEk/KFFfahCqaWOUxym+Iryj0p5tAcFzBcOOlcT7n4JJbGpQxRJhbilc4PCCLjfOnrLQuoUJEFkLXeKCO4AGKSB0n2GMnCKLBcjCK0JnmY7HKOHAskGaVHqZUf1jCFk8acr9oTDShHSU3IQumBBx7A008/jV/+8pdYtWqVqB82bBgWLFgQ1c4RBEGEjNNQnEowcRShO4tg0swCSXNJHQDA+BgX7kHipxhlXeqTSjjxFrlg4Md1l9k+sDffkks6LiOH5Di64pMte44C9ebjKqEk9vw8O2Hk1HMkCRqVgLIVSJbjkI6b7U2PtbOJBgq9KQk+9rMVDhw4gCuvvNJSn5qaihMnTkSjTwRBEARBEDFByB6lrKwsfPrpp+jXr5+pfvPmzTjvvPOi1S+CILo4EecsRcuzFOiRqeFAyVzPhLenRdvylALmUwJdUXiYNJ6M7TK3JzxKOkxlO4+SuKMwYyWqkFvguNnO4jmSQmJyjpKtB0k1Y7YqxObUk6RKwG5HT1JHha80xqDJwzDDaCMeCVko3XLLLfjtb3+LF154AZqm4auvvsLWrVsxe/Zs3HfffW3RR4IgujAdLpgkUWMrmET7rNVwHNDiQ64STkI3yEIruCASwkcuB7169ISSRUdYJnCUhI9CEKmEkEUYhRhiE2e1pUAKZh8CHZ7fQ6E3JSELpTlz5qC2thYjR45EfX09rrzySng8HsyePRu33357W/SRIAii4wWTtUcmO1mk+IVTEC9Ty2toCuEkumT2HKkElKVdXrSU0epxp1iEktxvxUzWoQsi0VNzfaSeI8j1CF4v9V/0Jp4EEmFLWNMDPPjgg7j33nuxb98+6LqOgQMH4qyzzop23wiCICy0lWAKHJYbdvolkzxNDIGQmxA2wQVSQOhIe96iQwHFTwwkgWstq63XixBLpMVWMEn14Qoi+Xp2M2hH23Mknx8GsSaQaNSbmrCEEgB0794d+fn50ewLQRCEY6ImmESDinaVEzGp2m0pTlqIJsAinAKnhCigRB+D981az9tjLayCGSjq7W7Zbji9Rfkp7BwKItFquMLIpl1L+6rzwyBmxQSF3pQ4Fkq/+tWvHNm98MILYXeGIAgiVKI2UaWdp8kinCyuKNP5aOFRkgWOJeRlJ6CceoZsyioPU9g49bTYhOoce3Rs7ByH0uyuY7FT1IdAzAokwhbHQmnFihXo27cvLr/8ctMKvQRBELGAUtiEio2nKWAWgvvFIqJkxWM+DBuBZM1tli8QvKjCaSjO8a/+cIWJUyFkdz27dlTXt7tOCHQ2YUShNzWO51G69dZbUVtbi88//xwjR47E888/jzVr1li2UFi0aBGuuOIK9OjRA+np6fjJT36CAwcOmGwYY5g3bx6ys7ORnJyMESNGYO/evSabhoYG3HHHHejduzdSUlIwadIkHD161GRTU1OD4uJieL1eeL1eFBcXW+Z9qqiowMSJE5GSkoLevXtjxowZaGxsNNns3r0bhYWFSE5ORp8+fbBgwQISjgQRg/Bf/BF/AFjwTW5fXIdpgU03Nn6eLm2qel0zbz5jM8qaL7obmp1tUb+u4v4Cm8PnJer58zZv6nel2MIkKj9vHUVrzyOULQ5xLJSeeuopVFZW4q677sJbb72FnJwcXH/99Xj77bfDFgobN27Ebbfdhm3btqGsrAzNzc0YM2YMTp8+LWweeeQRLFmyBMuWLcOOHTuQmZmJ0aNH4+TJk8Jm5syZWLNmDVatWoXNmzfj1KlTmDBhAnw+n7ApKirCrl27sH79eqxfvx67du1CcXGxOO7z+XDNNdfg9OnT2Lx5M1atWoXVq1dj1qxZwqaurg6jR49GdnY2duzYgSeffBKLFy/GkiVLwrp/giDaD+XHMlxUAko3tpbX0TXTZhFSdgKBbz5js9RrnWNzej8qwSgJIfm5Wt6v8S7aUhB1anHUAtU9hbrFIxoLU+UcPnwYK1aswEsvvYSmpibs27cv4pFvX3/9NdLT07Fx40ZceeWVYIwhOzsbM2fOxF133QXA7z3KyMjAww8/jFtuuQW1tbU455xz8PLLL+OGG24AAHz11VfIycnBunXrMHbsWOzfvx8DBw7Etm3bMGTIEADAtm3bUFBQgI8//hi5ubn4+9//jgkTJuDIkSPIzs4GAKxatQpTpkxBdXU1UlNTsXz5csydOxfHjh2Dx+MBADz00EN48skncfToUWgO/Nd1dXXwer3o+/ADcHXrFtHzIgii/Yg4ByoUwrxWu/YxBML+gLbzhzfWPvR6fT0O3/U71NbWIjU1tU2uwb9Jg294EO6kyL5JvsZ6lL9+b5v2tyMIeQkTjqZp0DQNjDHofFrYCKmtrQUA9OzZEwBw6NAhVFVVYcyYMcLG4/GgsLAQW7ZsAQCUl5ejqanJZJOdnY28vDxhs3XrVni9XiGSAGDo0KHwer0mm7y8PCGSAGDs2LFoaGhAeXm5sCksLBQiidt89dVX+OKLL4LeU0NDA+rq6kwbQRCdj2j9xe3or/IwN+HNirEt7Ptp561LE8HPXbyH3kKaHqChoQFvvPEGXnjhBWzevBkTJkzAsmXLMG7cOLhcYWsuAP5cpJKSEvzgBz9AXl4eAKCqqgoAkJGRYbLNyMjA4cOHhU1SUhLS0tIsNvz8qqoqpKenW66Znp5uspGvk5aWhqSkJJONvHQLP6eqqgr9+/e3XGPRokWYP3++/QMg4otY/dOe6BRo0fnbs/PT1f8ZtfPvkS4vFhU4FkrTp0/HqlWrcO655+Lmm2/GqlWr0KtXr6h15Pbbb8dHH32EzZs3W47JIS3GmG2YS7YJZh8NGx65VPVn7ty5KCkpEeW6ujrk5OS02neiE0BCqOsRyUckxHM7S6jKMe0VSoz0nyX9syaC4FgoPf300zj33HPRv39/bNy4ERs3bgxq98Ybb4TciTvuuAN//etfsWnTJnzve98T9ZmZmQD83pqsrCxRX11dLTw5mZmZaGxsRE1NjcmrVF1djWHDhgmbY8eOWa779ddfm9rZvn276XhNTQ2amppMNty71PI6gNXrxfF4PKZQHdHJIYEUf4QqLhzatyp27NqwOe5YSHXUz6vDDtp1zzbtUz4uXdbx7XM7p881Hn8NMAbn8z+00kYc4jhe9stf/hIjR47E2WefLYbYB9tCgTGG22+/HW+88Qbee+89S+iqf//+yMzMRFlZmahrbGzExo0bhQgaPHgwEhMTTTaVlZXYs2ePsCkoKEBtbS0++OADYbN9+3bU1taabPbs2YPKykphU1paCo/Hg8GDBwubTZs2maYMKC0tRXZ2tiUkR8QZfJQS0XkJNafCxl6Z6xIsL0cxnF2d1xNkRJceZFi97XQB6KDNZjoAud+q+7XLeVJNEyA/X7ucpCj/bHRGKM9LTUgTTkab2267Da+99hr+7//+Dz169BDeGq/Xi+TkZGiahpkzZ2LhwoW48MILceGFF2LhwoXo3r07ioqKhO3UqVMxa9Ys9OrVCz179sTs2bMxaNAgXHXVVQCAAQMGYNy4cZg2bRqeeeYZAMBvfvMbTJgwAbm5uQCAMWPGYODAgSguLsajjz6Kb7/9FrNnz8a0adNE9n5RURHmz5+PKVOm4J577sHBgwexcOFC3HfffY5GvBGdEBJHnZcoeYqUv/wd1FvOtV3qQ3VeaMdt6yWcfuBC9tDI1VK9pT3LcS3ocUt/eQXfOeynykw1+bqtJ6mlPf3qiBvCXustGixfvhwAMGLECFP9iy++iClTpgAA5syZgzNnzmD69OmoqanBkCFDUFpaih49egj7xx9/HAkJCbj++utx5swZjBo1CitWrIDb7RY2r776KmbMmCFGx02aNAnLli0Tx91uN9auXYvp06dj+PDhSE5ORlFRERYvXixsvF4vysrKcNtttyE/Px9paWkoKSkx5SARcQIJpM5HewsjJ+cr1hxTCR1bAWTXjkyo92iDJdKl+mdi88/HtBxeMHvpuLiOSmhJDWrSjTu+XYUQC0s4hSqyOppoeMXi1KMU9jxKRHjQPEoxDgmkzofjfJ3WD4fqpbH1FgULRdgJomh5lsIVSKrjDoWP8ryQPUkhtuOwXn4ASjun/bKxD9vGQK+vx+G723ZeIv5NuuKnDyAhMbJvUnNTPXasadt5nzqCyMb0EwRBEARBxDEdGnojCIIImwg9SeGG2MR5igVbLUnCpnNs2rQ7z+HxUEN4YWMTQrP1DDk9rsg90iQ7S0jPcp65AR6iszwOOdRmF5JreT2neUyx5rym0JsSEkoEQXQuoi2QQg5v2eQdtRQxweqCXCtUQaQSXlHPcVJgFzqzyzHStOD1TDpuad9GQNkJJ+vtasZ/Q8xpkoST6Xk4FUIxJpiiMWqty496I4i4hnKTYp+OEkh2nqPWREq4QidEu5D61FrZIUohw5tVCRubvWMB5VAIyZ4l+XrMammUmLkf8vkKT1OnFkw0j5ISEkoEQcQ2nUUgtSZSeJ2usInScVEvXZfjOGHdDpsQmyYJEaXA4WWX+bhlLx1Xna8MuSkElUVgSS6wcART0HCcqXMKYkUwERZIKBFdG/IkxS4dLZCchNZa2gWptxU6KuGjm8uynSyIlMftQnkyqnrFPxNVqEzpAZKHD3E7XTouCyRZRMh2UntOPU1KwSRZhiKYgnqXgp2jooMEE4Xe1JBQIgiic9LRAkkSM3L7YgZpBISA8lwbYeRUcNmKObmPYX7Y7HKJVKEzLnCUniQmHVcJJBa8zBTtqzxNmsvcnCWnSnI1ORJMrYXjgp0TKzCE72Fs2UYcQkKJIIjYIsxftqHOEaQMsVmOS2WFQAoqXuyEja447vA8xyE7rjhsPE222OQi8Zm05VwjlTDiZZXAUQonWeDY5EzJ1xMihj9PO8EEc4WtYGp5aZVgsiMawoWICiSUiK4JhdxijwhDbU7t7MJOURFIfC8LGYVAUnmMlILK4oGShFCIHqawlzCxeJDMAsIqjDTTcU0SSrJAsoTYFOFOy4yAsqDjAkkK8TkWTIp24yKJ24BCb2pIKBEE0TmIMNRmN8w/qgLJOM/ShkIgaT7FcaXAYubzbT1TwYWUIFyPko0QsnqOZCFl/A8XLgrhJK7DV6WS+q/yBFkcQtESTFJ8zbTUXCgj44JdpKOgUW9KSCgRBNGxtNXvVqXnyKFAUggsJwKJl+09QcbeRihpPtb6cVk4+eQ+mo+3lUfJIpzc8nHNZCeEEy+7pTwxRX/l3CQhQlShOfk+7AQTb1e6vJ1gavWiRKeFhBJBELFNuJ4k2U4VblWFpVTtOxBIfC8fcylsXT7JTiWMhKBizupVHiXh6VI8NLuPvZ3niJd9vN6wd0vCSNQbZWY+rhvCifdXOJL4fbjM9aru2gkmu+FvdiG4lrlLdh6jWPUsUehNDQklomtBuUmxQ3t7kqTjSqGl8iwphuCrErA1HUqB5JI9SLwsCSSrHTPbG0LHpRBKkMvMzrMU/OExOVtaykXi2dTcQwSL58jojvDgSMKJme11Qzi5uHAyBJPQNZJw4vVKwSQngyverTxKzvI0ZLEj1ZvobJ4lhsj/TZJQIgiCaEei7UlyGlpTlRWeJJVHCXorAkkhgOTjLlkYyXayEBJCS/Y4cYEkfeFl4WSDLIzk0W5c0MiCSXOb79cinPie5yBx4WSUdVl18ObBjwcv2+UsifuSQ28K748skIKF4iwj4iAZxbhnibBCQokgiPgg3L9mnYbaVCG61vKQVAJJ5RGSBVKzVJaEEkRZEkg+7nIJLpzkkFtAQKlUJw+1SV9v2XPk08z1XDgZ9SKUJgSR+bI6454jf4UOsydJCCZJXVgEEtdTulQW92PspHdp8TipXEuhiJhOInwo9KaGhBJBEO1LmL9M28yT5LCsEkaWkFuLsl3yNRc8LkMQCSEkl4VwkgWTuSzvA0JJl/rOXTjSQ5RHw3HkiRtFqM1/IDBazfgfWShxgaQbgsnYu4y9LFCYeHfm0Fygm/whm11F8kzgShcTv31I9dK7V+ml1o8H8pWACDxL7Y3O1DlrobQRh5BQIggitgj1d22kniQJ21Cb6rjseWoplFShM7neIpjMAskqmHSTnRBGzbrRB6MDcuhNFkoqgSQjRrUZYsAQRmKiSbe/ISGYEgwhxT1KCVwgucyX56E0qTsuQ01wYaRpCg8TFyeyUJIVDr9t2aMkTzcgheqiEh4L9RyG8H+2wyEa14tPnURCiSCIToadwFHVy54ixXH5Oso13VTJ3S1HvdmMUnM5FUhir5vshCAyBBMvB3KVuCfJfB58klByOv+NJrlu3IZk4cP6de5RMl+fGYLJxcwCiUnzCqhyjVyS+0W3CCMuHOXcKZjKluRtlSdJ4Uqy5DwF8SxZFghWeYw6SUiOsM5nShDxCdNiwLfdxQnzL9aQcyf4u1Zdj0mb4ri4rk1ZbLr95vL5N01n/q0Z/s0ou3z+TWv2b7zsatbhatah+Zh/a9KlzWfempv9W6OxNfg3NDb5t6ZmY2sybw2NwTfZjp9vtMfbF9fj15f7JffbuB9+f6r7Vz8v/jwdbtI7c/quQ/oZEvWh/c6JRo5QJGiwPp+Qtzbs34MPPohhw4ahe/fuOPvssx2dwxjDvHnzkJ2djeTkZIwYMQJ79+4N+doklAiCIAiiq8Nn5o50ayMaGxtx3XXX4b//+78dn/PII49gyZIlWLZsGXbs2IHMzEyMHj0aJ0+eDOnaFHojCCI2CPV3bIj2oU4DoJwvyW4+pRaj33hOkO2M2lLukQjJNUmhNl7mIbcmn3HcZ6oXoTWjPrA3h+Ig5yzZwXOPeMyLl3kIzpgASeMTIbmlWJbyMkZoTgq+6VKkT+x1c4hNPE8+07duDs1ZJpa0CcGpRjzaThvgxKVCIbewmD9/PgBgxYoVjuwZY1i6dCnuvfdeXHvttQCAlStXIiMjA6+99hpuueUWx9cmoUQQRKfGNlzh9Lj0UVSNsguWtG3at6hXjnYTw/7Ne9nOkpxtJ5CafdLeuJAuCScuXAzhxJgzoaRpkjDiSoQLIy7EErhyMISTbcOGudF+IKfLSN72me34XtfMduL5SaPehHhV5CzJjhDH0wbIMPWxmBndpiCa0wPU1dWZ6j0eDzweT2SNh8ihQ4dQVVWFMWPGmPpRWFiILVu2kFAiCCIOsRU8iukAQm1HslPOn6QQWIEys05KKWz4B54LFoVnSRrdJoSRbhZOSoGk8CgxWTCppgvgSNMBwMdHuYm1R/x7XlYgTy8ALoDErALGKDcugKQZwDWLZ0gSSLJniR9XCR7Fu3McQQoinCyzdgdbD86mjQ6BIawcQksbAHJyckzV999/P+bNmxdh46FRVVUFAMjIyDDVZ2Rk4PDhwyG1RUKJIIiYJOqJrSoNoBJA8nkOzzeJIlkY+YLYtGgjsISJ5FGS50eSQ2wqgWSUmRx6M8rMEoJT3KTLHPsS0wKI4WuGJ8hOYUgxNE2E8Axh4zLfv7hvPh+T7MUTa8lJ7ho5tCbPvC33y+G7b48RbLHueXLCkSNHkJqaKsoqb9K8efNESE3Fjh07kJ+fH3ZfNGmSVMaYpc4OEkoEQRDBsPFIOcl5soTpbISRPEO2PLxfDPO31PvMZS6EZE9SU5Op/YBgshE4XOCJiST52iJGf5Dor+f3LicVif7x0JrRDs81EqEzLoi4J0gWTkaz0mK5qr3oj6ocqdcxjtAYsxe6DtoAgNTUVJNQUnH77bfj5z//eas2/fr1C6svmZmZAPyepaysLFFfXV1t8TLZQUKJIIi2pYM/OnaCxs5eGcpz4oWweKukL7QqFCRm1oZ5L3t+RHK2WfgEPEeq3CRJIBk5SirBJAQSFzpcOXHBxNsXJ8gTRvGQnW4uy0ne4jTDwyQtdWJ9jrysKeykG1HUq4ST0gMlH28RXeu0niAdziceba2NEOjduzd69+4d4UWD079/f2RmZqKsrAyXX345AP/IuY0bN+Lhhx8OqS2aHoAgiM5FNHIpgrTjNJlVgyLC4qBflnl8RL3x17w0xJrXi+P8YyZsdWNjpo0x3Z+grfs3Zmx8mQpmbPx8uSxvSnvRHm/fuB6/vmX4uNRf434s9ymeqd9Orlc9RyWKd6N8l4r3ZtdeSETr57iLUFFRgV27dqGiogI+nw+7du3Crl27cOrUKWFz8cUXY82aNQD8Xs2ZM2di4cKFWLNmDfbs2YMpU6age/fuKCoqCuna5FEiCKJrE+WPVaThi7AI85qyR6kVQ2NneJRaz9kOcn7HKAL+Lli0MqWjmIsUa0Qz9NYW3HfffVi5cqUocy/Rhg0bMGLECADAgQMHUFtbK2zmzJmDM2fOYPr06aipqcGQIUNQWlqKHj16hHRtEkoEQXQu5DlvotVelBDrngXpoCosEzjHWb1Ak4bpy0mqIuQlhcbE6eaQmlIw8WH7LpuH5ZKCFJYJkFoPYjBFkq26vvXuqM4Lm2g2F2tiK1pesjZixYoVtnMoMUmoaZqGefPmRTzijoQSQRBtS7SFTbSQ59Ixz2FowbKGl2wYwoePKXSNRVhw/SJGm0l2Ltmee3z8Lh/uMRJlnhwNoyyStLlAsnEVaeb2+fVFWZPKlgkqW78/edFdywMS8y213k1rv4OX5RQnFZbjsSZyokE0ZtbuIM9hW0NCiSCIuMZuNmWlPa+w+yhKH2/TCvbyBIea1DgXCmJ4PJ+viJsbhvKis/KM124pOVoWTFI3+Gg44SGyC8FxhSZPE8AFkbG3CCR55m5l2dwuE8/FXLYILfl5KvaWxXFVSMdDFVCdNpGbaBUSSgRBdA0Uni21d6f1vfzx1aR65gr2wWfiWMs9xLB7o94QREK3WEbLGZ4hUW79V7kIsXEPEBco0jxKTLGUiWazdIlFICUY/Ulwm8uGPUtQ7N3y3txv+bmpBJXYK96ZRTip9jCXlUIoDgRSNGfmjjdIKBEEEZNYPD92ITzJkMnVTnEoiFR23PnCdM0qjNyBYy3rNVEveZa4p4UbytMFSF0JVMhLjBjzHQmBY55WgC9hotlMOKnJniXRnkIocc+RIZhYorF3y/vWhREs9ZKwtAgkObRntGPz7pR2IWBtw24opOL89oZCb0pIKBEE0amxC6VZBJYWtOhYGFkWWJXKrEW9NHE1dCF85HmA+CnGYrDS4rDKFGhLzpLh4eEzdXOhIuZbkuZZkj1THO5ZskvOFiE0t1TmniLuUZI9R1w4met1vk/UTMf5UnJin8DLdp4mxV5+lyEKJ2UorxWRQ2G5zgsJJYIg2gdbj5DN8QjtLblHdiG4EAWS8CTx426IGaZ1I6dInMLrrb007CTBxAUQ10NirTReoZv3huDgS50EZvLmCsNm6RIe85NHqSmSx0XoUHiUXMHLUohNT5AFkUIgGXZCQHE7SUCpPE2yZ8mpYHIacgtJBMWoYGq5iHMkbcQjJJSIrkE8LKDURXEaggsIIUUITjpN5BRJx209SwrBJLrTwkskZpYGF0bmTrtEvdQpsSisISz4IrlCCBjHDaHk4rlCCXzRW+N4olSWBZI0M7ZqHhy7UWlMSsq2lGVhJHKVuJDUTGUuhIRAMr5UgXqj225zvTIUJwkmOZk+XE9S0LIUcnOa19Thv5oo9KaEhBJBELFFtDxLdjlL8odJCpOF2o1g/eJLmQV0hVkI8Y+jS072NuxEDnWLvCcA0LiHyicJJ7GWGhdSZo+REEI+qWwgz0MTuBfzw2LSaLyAkJI8PnJOkUoYiRwu83E9Ua7nZZjbkertBJNTQSXKHEXIzSSYVDHgUIVQS9FFdCgklAiCaF/CVCC2niXZQ2QT4rM0w0WJvOK8w+4K0dPC3iUfM/a6NC8SF0guefQWn+fIEERiEV0uMISnyLiQvMiutHaaZsmN4vU2NyfdhzwsnwslZskZkgSVlKslCySVALJ4jiTBw4/zB65Lgkc+HqpAkkNzTqYbcJrH1OGeJE6MTzjZkZBQIgiCIIguTqwvYdKRkFAiuhaUqxQ72Llq7HKRnHqWnOYs8bKdZ0mRv8L3ItymBwaZaZKnQ5OuoUlJyNwDpBuNuXg7PPRmeIx07mni7cieJN3sQRLPTFVvg+Xeeb/lXB3LvEbBPUFyvS6HxBQeJGVZU9QrPEYWT1GInqRgUwFE7EmiX00xBwklgiA6lvYWTLyeSQbyHlJZTuKWPpbBphGwCCLzqH/IK4cE7MwCSLcIIVkg8b6ZhZTGy3ypN+nexLNz6gngITaFCBACRRJMshBxPGGkQujIoTWlveK6qvmVrIKv9eOywjQlc0OybWkTjI4WSJTMrYSEEtE1Ic9S7NFOginQnI2niYscaYCYRVAJ74pRrbc4TxpkJgSNHsS2Rb0m2VuFUOvnWQUTzFg8SfLXPHi1OGyT1GwRSPIzaiFEmK7jdOVnaPquDglnpSIl+7zAdAKtnGeqVwkjxflq4ePUTjGiTVP8fzBbhV2H0eLnNaI24hA5p79d2bRpEyZOnIjs7GxomoY333zTdJwxhnnz5iE7OxvJyckYMWIE9u7da7JpaGjAHXfcgd69eyMlJQWTJk3C0aNHTTY1NTUoLi6G1+uF1+tFcXExTpw4YbKpqKjAxIkTkZKSgt69e2PGjBlobGw02ezevRuFhYVITk5Gnz59sGDBAvUoEYIgwiPYX+XBjkt2TDNvFjtpE7Yu5k+mNja+9Ahz+zfd2JjNJuwS/Jue4B+1FXRLMjaPf/Ml+Te57PP4t+Zu/k0uNycbW/fgW1OKZt66G5tcL29nGZudnaI9VX9Ef43+f1vxEfa9/Ad89uZTqCh9BZ+/8RT2r/gDar74KOjz4GXx/FTP13j+4l2E+g75ZvwsBH42jM3Bz5jl59Hm5zfkfwdRhucoRbrFIx3qUTp9+jQuu+wy3HzzzfjZz35mOf7II49gyZIlWLFiBS666CI88MADGD16NA4cOIAePXoAAGbOnIm33noLq1atQq9evTBr1ixMmDAB5eXlcBuzvxYVFeHo0aNYv349AOA3v/kNiouL8dZbbwEAfD4frrnmGpxzzjnYvHkzjh8/jsmTJ4MxhieffBIAUFdXh9GjR2PkyJHYsWMHPvnkE0yZMgUpKSmYNWtWezwuoi0gz1LsIr8SO0+TZKf6a1/leRL20i/7gEfJ3CCTvTLSgDKtZSRDlQukaENVb2uH4Mfle7HYhYqdt8TG4wQNqPv4I3z51gpL082nanH0zRXIvm4Kegy81NSOnSdL6RmCot5y3IGnqLXrB8Pprxb6FRSzdKhQGj9+PMaPHx/0GGMMS5cuxb333otrr70WALBy5UpkZGTgtddewy233ILa2lo8//zzePnll3HVVVcBAF555RXk5OTgnXfewdixY7F//36sX78e27Ztw5AhQwAAzz33HAoKCnDgwAHk5uaitLQU+/btw5EjR5CdnQ0AeOyxxzBlyhQ8+OCDSE1Nxauvvor6+nqsWLECHo8HeXl5+OSTT7BkyRKUlJQE5kchOifyF4SEU+xh90pswkXCTBGaE5eRfxTE/wQ/oJqOwCSslLlBrV/bseCRURxvq0VLQw0rMV3HsXfWtNpmdemb6H5pHjSXy17wqK4XLIeoVXtFf6MRNov1XykM1p/xcNqIQ2I2R+nQoUOoqqrCmDFjRJ3H40FhYSG2bNmCW265BeXl5WhqajLZZGdnIy8vD1u2bMHYsWOxdetWeL1eIZIAYOjQofB6vdiyZQtyc3OxdetW5OXlCZEEAGPHjkVDQwPKy8sxcuRIbN26FYWFhfB4PCabuXPn4osvvkD//v2D3kdDQwMaGhpEua6uLirPh2hj7L4oJKRij1BfieqjGOYve+t56oYcC5Zo23U0xjM/8+lnaK6rbdW0ufYETn/1GZIvuEBpE/I/w3D/2XaFf+6UzK0kZoVSVVUVACAjI8NUn5GRgcOHDwubpKQkpKWlWWz4+VVVVUhPT7e0n56ebrKRr5OWloakpCSTTb9+/SzX4cdUQmnRokWYP3++7f0SnYy2+tOc6HAsszG3xTUcfngdC4HO8vNo3FBTvbM/GJu+q4MnqZV7a6fb7rDH21nea5wTs0KJI4e0GGO2YS7ZJph9NGx4Indr/Zk7dy5KSkpEua6uDjk5Oa32nyCI0Imak89p+EX+iIUwAiowrM3hNeTwYKh9sauPFNX33BJK9HfAnZ7iqFnXOWdB76a3EpKUH6Dd9YP3h6PSJdGQKzGveXRE/vNBi+K2L5mZmQD83pqsrCxRX11dLTw5mZmZaGxsRE1NjcmrVF1djWHDhgmbY8eOWdr/+uuvTe1s377ddLympgZNTU0mG+5dankdwOr1aonH4zGF6wiCCI+2EkKOBZAyYbkV0SMd01Tn8OOQ7e3KwfvM7WRBpTkVVHa0lo+FQARGrucPO/nSHLh7psL3rdqz5O7pRbdLzoXm8gU6aklm10zXk+ttBZZlrTvJTuo3J5ykeLuf344WUjQzt5qYFUr9+/dHZmYmysrKcPnllwMAGhsbsXHjRjz88MMAgMGDByMxMRFlZWW4/vrrAQCVlZXYs2cPHnnkEQBAQUEBamtr8cEHH+D73/8+AGD79u2ora0VYqqgoAAPPvggKisrhSgrLS2Fx+PB4MGDhc0999yDxsZGJCUlCZvs7GxLSI4giMiJWBi1sSBiinrN1UKkiLaY6ZgsfDQxD5C/7BJtmO1dmrleFkROj4tbC/PrLAsgXRIsTJQ15fHMX4/Dl4/8P+U1zrl5PBKSGQBfQBDpgfP9/8M7IA93M2fa88WE7UYVQm43cMPm9jTJnu9anhfio5V/PjtaOBEBOlQonTp1Cp9++qkoHzp0CLt27ULPnj1x7rnnYubMmVi4cCEuvPBCXHjhhVi4cCG6d++OoqIiAIDX68XUqVMxa9Ys9OrVCz179sTs2bMxaNAgMQpuwIABGDduHKZNm4ZnnnkGgH96gAkTJiA3NxcAMGbMGAwcOBDFxcV49NFH8e2332L27NmYNm0aUlNTAfinGJg/fz6mTJmCe+65BwcPHsTChQtx33330Yg3gogiYQukSIVRqIKI10viBy1EikUYicVvzcKJCxaXJJTcxtTdvMyPu40ZJ3kfhJ0kkBKEnfneXdL1ZHi9rngZuiSAOFzANBuJXrJQ8um8HjhrxPlISvgZjj5biqZvToo2EnunImPqOKQW5ELXm03nCwFmCB++xIsshHiZ2wshKoQV769U71RAiccmeaRa/BBanlwYwqldtRIlcyvpUKH0r3/9CyNHjhRlnsszefJkrFixAnPmzMGZM2cwffp01NTUYMiQISgtLRVzKAHA448/joSEBFx//fU4c+YMRo0ahRUrVog5lADg1VdfxYwZM8TouEmTJmHZsmXiuNvtxtq1azF9+nQMHz4cycnJKCoqwuLFi4WN1+tFWVkZbrvtNuTn5yMtLQ0lJSWm/COCIMKnzQWS0lMU3I5ZvD+GnUoYWcQPoElCR5MET4KbH/fv3VwgaVJZHNdNxxNc5r3L+LQmSMKJCyZZGLkU9SoCAskVtJ4LJFE2hJEOc5nvk3/UH30Kp6Hmo6/Q+O0pJJzdAz3ycqBrbgCN8Bnt+YQwMs73ma9jFU5ckDHTcSGoZA+QEFaGPX/FwlPFDe1+SFnA+yVfQ24q1iChpERjNLV0u1JXVwev14u+Dz8AV7duHd0dguhw2k0gheg5ksNhgXUMFMJILHgbEEfCEyQLIbdZ+CS65LLPVE5y+8sJskASZfm4v5wohJBZELnBgtbbIQslH7Sg9U2MCyL/H6zNyrLLVG70+Y9zz1OTLpddprLPF1xI6SrhJJaOkYQT/yGQlophUtmRp0k+xq8QRl6TfqYeFXf9DrW1tSK6EW34N2nUwNlIcEeWT9vsa8C7+xa3aX87gpjNUSIIIr7pdAJJ5TmSwmkud0B8yB4jXlYJo0RDECUZZVkgJbmbTWWPyygLYeQztZ+gmeu5J4p7ntySkLJDCCRm9hT5hEDiQsi/58JG1BvCp0FPMOy4QDLKbrNgajTsm4yyWxZOLsnDZKxtx8uaseacbiwKrHO3oJzSJBYr5oKJmc5nRpmH1gI/cq15mswJTTHvYSKPkhISSgRBtCvtHmJTtBMtgcS9Q5olTMbEMS6EhFBy+0z1SZJA6mYIoiRDCHmEQPIf5wJJ3geEklTmQslwmcjCieNSfLV16aHKwsgHc1nsDUHEy1wgyftmI1WiwRBMjS7/vl6UjWfq0412/faaIaB4v5ukd+/TJa+OIZR8imVOwxZMwR6bfDDWBRNND6CEhBJBEJ0bVdhI5UmSz5OPRyiQuBhKcOsiRCYLI14WgkgIpWajvgmAWhDxfTcXt/Pvu2n+vSyQEjXjOkaZe5C4cHLz5G7Fl04H9ySZhQb3MDUKgWQWRk0u/76eJQIAGnT/vl7nZbNg4kIwQTf3M0Ec95frfby/PITIhZO/v8383fnMgoj3m993qIIpkKhmFj9W1QOr8InxdSVpegA1JJQIgoht7DxJsp3jUJuxk+15DpJqiL2UzC3yfqQQnFvTHQskLoySjT0XTN25YDIEUHd3o78sCSMhmIwyF0S8ngsli0cJwQUS9zT55KRtLpiMm7d6lAxPkCGEuIDqZgilei3R6L9ZOH3nSzKekxEK9PFnyExlp/DvtW4IHbdI0vbvfcbL5O9KlwWPZm6Hv3z+MyCnIZlDcYofUOkWYtazRFggoUQQBEEQXR3KUVJCQokgiHYh6hGHEGfks8yHJLej9EgZO5d5TiJ5ziOXlKCd4NYDydqKJG07T1Kyq9Eo+xfW7mZ4hrq7jLLCs9RN858nQm8wrmvJWTLfC4fX+yTviJgPSfIoidCbEQLj169nfk9RvS6FAnX5+mZPklPkeZx4LlWCWzOV+ffbJeZjMjxJ0rtl3INm8TLycvCQm8hZctL9WA3B6Szkf1NB24hDSCgRBNG5cZi8LZdDDbmJvUIYBeZACuQsyfMdyblI8t6pQJKFUgov8xwl8NCb0T7M0wUkytMEGE/ArXiWXL9wYREQSj5jb+QqwchJMnKK5Bwpl85H3Um5ULzoRqv4xDQExl4SRM1G+yLkxqcFcPHQGxdE/vaYcecaH/6vCtfahOBMg99UWoFCa50WEkoEQcQmTnOTZHuV58hiH1oSuBBOvFoIKPPxlrNkW+Y7kvYB4cKnATB7XrhAEjlJ0l4WSIG9kewt2vP3LdH4SifxHB3jbtxSWUY3zvdxT4xR32j8XxNvn5nFYz2TPjFS7nQg58nFK4z2jKRw0X9jGgDDY9WseJ78efPcKrcoc4EjiV+jH4GlYqSkbWU+XCteoWCJ3YBSIMVMrhKF3pSQUCIIomvgVBjxoiSE5PXZXNJH1yWFsdyabpk5W0wMKe15EnOiIgnbKoQkz5FCIHUTQgyGvWaU+eiv4IJJRggkLpikJHDumXLbfN25gOH91Y1++Iw9n+eI37+Yf8nFR9UZz81ox7r394d7lni7LkjvSjPfT8BTZC6Lu5EfSycb0eaMKAilOHWXkVAiCCKusSw2avMtk9dFs7OXBVNLISWLp4CIMgsL2ZMkz5jNBVNgmL95uH+ixUPFz/P3iQukbhqfd4gLJnNZRQIfJc/nK2J8HiYegzLG5UtCyieG4eum/vJQGc9pEv0wRsW5JE9bk8ipSjCuG/y5ys9btSiwT3GfckiNn88Uz0fYt9BJtJht/EFCiSCINiVm/8i2CKjWv3DW3CWzvdNlQICWH/Tgw/IDHhrzPEduSRDIw/75eYnifLMHSSWQ3OJ48HmFdLGKLBcwZg8Pb1/nx7mgku6D95cnf8v3Jd+HZUJMaWZxp8jvRvUu1YKI5zhJIbl4EkUUelNCQokgiM5F1P9kj257wQSTEEaKa7kVEz3KQkGFKvQVXPa0bL91gRRoxzwaTGfBfTJyK05DcoH+KJ6D4vnYPddQxKszFPlH4RBr4TqdIeJ/CzTqjSAIIh6JrntAHrIOWJcAiTbyMH7H5/EpqEWeVeseJWEf6nXa+P5VzzfYu4iMGBE1RLtCQokgiM6FZZhQuO0Ye5FnYiT02ggmpvj4Ovko8w+6Ze00sUSItOSGWIRWM+150rM4zpOiRfvm0WmBMt+LNTqMmzILJhkukOTzre3CtOf9ke8vsJiuvFfcvyTgVM9RherdqN6lrV00NHWseJI4TG+xdksEbcQhJJQIgmhTOjrCIF+fp1GokrRlwSQSdeVJBqU5feTzdaYFPuiSbWA+IJf5uGJpEHkYvVgyxJh4KInPZyTWMgsekhKhKJFrJI4Y/VClOcPohzEdAONJ2jy5279vZLzM78N8f7y/8n3I98fv3/r8zMJRfq6yvSxwVPVM1CNovQrZvlMnclOOkhISSgRBEEEQgspSb/4YuyX7lnaWD7kQDlwQ8GHthoBgZs+QWFzWsugsHwXmFyx8okfL6C+RhM07xwUSF2zmJGrlPEpiFJvZg2QRSMb5jTBPQNmovA9pEV0hEM0epsBx8/OzCE2lEJLuR2Gnsu8SUI6SEhJKBEHEJlHMm/W3pwjZyb/bVV4FhXISC7Dyj7semOzQKpRUwkkSRrp5wsVGQ1AkGgKJLzrLZwcXniMpogY0G9XmUJlPJFlrJnPbeZR4WQglGHuzQKoXi+Mae8YXyTUvmhtYAkUSTLq5rHpeyr30LuSlTCzIXkOp3rK3nB9Fd2l8ao1ODQklgiA6BbYhPMsHxkYY2eU6SXYiPKMIycmeJp1paDY+1M0uY8/Me9mjxGe2btD5fEHBpwsQAskQIBYkwaQbMwcF5jUyj0YTusrGlSLnHskhNnkJEy6Q5D33MHHB1GDZ+89vtniigj9Hsddb9zDJITbxioUYliZSUtGanXzMpq2YCddR6E0JCSWCIDo3dp4nx8clr4NwIAUXRrrOE6n56XzuH3/Zp7vE0hpCMElLcTQqJqB0uXkukCEoDI+LiyfLyjmzitH9vI9NfMJKPvEj4xNbhjZ83yflAHFh1CSEn7+fQgjJQskQQt/pHul48BBcg89oTzfvm3Vjxm7dLJD4u/GJstFvXfIwSfaq3KSAh8mpgArzWCzAEAWhFJWexBwklAiC6JyEOPrNNqlbEYILCCfziXI74iNtiAZND3iSNCN3g5cbdXNOUZM0kaI8MzdHCBoujIRu4kuAGHsXT/Y2BJIhPPjM2PXSTNkc1bxDcsJ6o0i2dpnKTTDnIHFhJAslXpY9SfWSR4nvm4QwMgQmL0ueJF7mgoi/C5UnSQ65ySJZ5RWKKIk71ka7dRIefPBBrF27Frt27UJSUhJOnDhhe86UKVOwcuVKU92QIUOwbdu2kK5NQokgiHah3Ua/yR8tSza2pIwUgkuMfmNmO93wTrg0sx3/OAdme9ZEHRcgjT4+I7ZRFkt3BJ+BWoXw7IhpAczTBHDhwtdMEwKJcYHUbJS5R4snfbd6Wcvwfp5bJAumQA6SOQQnBBFLMJeN/RlfcKHUKAsk47ny5+mzCCT+TmQPkxQm1YOH3JSj3SxhtSB2DkNuMUeMh94aGxtx3XXXoaCgAM8//7zj88aNG4cXX3xRlJOSkkK+NgklgiBiGyl0phRcqhCbJIw0qVp4lqQQHETITXYdGR9b7s3RzIKqpXDyKdYi4wKJI3tyXFrwX8265LXinqOAcPLvA0uMGEng0tpw9caaavISKXYIASKmE5A8SooQmkUoKTxHaoFklH1mwSSEkWIve4pEzpKuyFmy/FDJAko6avE8tSKc5JZtBhG0O7oOa0w3nDbahvnz5wMAVqxYEdJ5Ho8HmZmZEV2bhBJBEJ2bcCeglM+TBRE3080fv8BCqMx0XMwFJMx1kZOkQvY0yViHwZvnHZKFU5OLLzLrC7rnniQu2Nwi5OfsAyfuUeFZsk5nYB7FJoQQF06+0ASSSIL38XbdprJI5lblJOlmYQRZOOlmYaQUQOG4RbtQyK2urs5U9ng88Hg8HdKX999/H+np6Tj77LNRWFiIBx98EOnp6SG1YbcUEEEQBEEQ8Q4PvUW6AcjJyYHX6xXbokWLOuSWxo8fj1dffRXvvfceHnvsMezYsQM/+tGP0NDQEFI75FEiCKJdCTtXKdQQnPXKZgM5VUnqXwvXkdlOOF8ML4XhleFz7WnCA+Uy5SsBgEvOY1J4kmQs8wPxvcs8/1Ki4YHxuPyeI+4xkj1LLjHtgJwb5SyZWw69WSaMNOob9OCepgZpFBv3LHGPkSrUJnuW7HKSuGfJMk2A8DAZN2TJK1KE3FThspa5SzY5SjEXcuNEMUfpyJEjSE1NFdUqb9K8efNESE3Fjh07kJ+fH1Z3brjhBvH/eXl5yM/PR9++fbF27Vpce+21jtshoUQQRHwQ7ig4i2Iyylz5uFQjovz/I5K7jWqeJwQ9kGzdbNd1LoTc0lxMRjnJ5TOa5KE2/56PAuPCqMmwE8JJk6YBkISTnDSumiZAXtRWFkg+1cSZzDxaLSCczIJIHs0mC6QmSSA1i9AbL5tDbBaBxMtS6E05DYAQUMGTt2mUW+ukpqaahJKK22+/HT//+c9btenXr1+UegVkZWWhb9++OHjwYEjnkVAiCKJTE6lnSZncDalCalfOXWJ8DTj+UXYFPuD8F61KMDFX8I+pvHZZgiRImjU+35K/PtFIpk1wyR4kLpR4Url5+gHZs6TCJ+VGBXKWzP2UBZKYKFIa1h8QSuZpE3hZzkXiniKVQBJlS9I2zGVlLhLfS+LYQJm83bLeqScp1uiAJUx69+6N3r17R3bNEDh+/DiOHDmCrKyskM4joUQQRIcQrRCc9XiEyd18tBu/jBSO4eEazSWH5HiCM0+Q9oslIBAS4n4nWTDJoS0ukJoN4cM9SwlGmc/HxD1NXEDxCSy5XaJxXDU/k1uqt0MsSqtYrFYs6isJIl3ygMmCSAgnxXD/JlFvtCMJJJ+dB4m/CEnoMOX0AJDs2yB5O8aEE2M6GIts1Fqk57dGRUUFvv32W1RUVMDn82HXrl0AgAsuuABnnXUWAODiiy/GokWL8NOf/hSnTp3CvHnz8LOf/QxZWVn44osvcM8996B379746U9/GtK1SSgRBNE5iXLOUqCkCMWJ3CazYLJeKCCYeDiOe2L4SDnZw8QM0cU/0Ak8BCfCfoZAMJYuSWDmGb8TjNFuCdLab9yzZFksVzMLpFCnB7CsuSYJJy6IAoIv+MSQzdJwfjn3iAuigHDiAqh1D5IskPi7sniU5Bm37UJtrXmSWu5bELM5STKMRb6obRvOo3TfffeZJo+8/PLLAQAbNmzAiBEjAAAHDhxAbW0tAMDtdmP37t146aWXcOLECWRlZWHkyJF4/fXX0aNHj5CuTUKJIIgOpc0molR5liy/y1sXTFzciFCcKndJCKeAYGrpXQICHib+gXeJEI/hOXKZhYebCwlDALkNO5/wLJmFk8voG186xSXNAK4STByVZ4kLo0A5uECS91aPUuvCyJqcrRru78yDZBFINrlI8rQBjgVSS7pgTlJ7sGLFCts5lFgLoZacnIy33347KtcmoUQQROfGzrNk8QgpzlcJJnlUnCV3STM3YxJM5nCcxj/IwoNk9iS5pbLsaRKTWRpJ4rJw0iRBJDxMtgLJmSfAEiJUepQkT48knOQJIcVoNYXnSC6rc5BsBJLCY2RZ389OIMkECdF1Gk8Sh0UhR4kWxSUIgmg7ou1ZchyKs7ueKneJh29cosbcvN7iHL7+m4sLFsOEp84I4WAclzxNPiPcx4UUH73mkzxOXPBwwdSkmwWSLKQ4kQolphBMol7yEInFaiVhJC8Hox7eL3uQpBwjO4FkmXgSZjs7Qgm1dRZ03b9AYSS0YY5SR0JCiSCI+CDUJO8Ic5dsBVPL9qU+8Q+/xkNmPOmb5z/JUw8Iz5JZOPGZCNxGewFBZHRJCy6QNMXX3Ok8ShxZCFnLxvkwCyCLh0wSRnI7/GFbQmuSMLKOSAxNIIWdi9SawOqswokQkFAiCCKmiNiz5DQUF2HuklIw8XZdWuAPbPlexLV5To4hZAxBFPjOty6cuLDh9YEJLmE6rkmhN9GNMJ+xHGHR0bpQsixGy/c2wki1eK0IrUkeJksYVZmDZK4PKxeppR2/aku7CAWSxuydnVGFQm9KSCgRBBGTtHkoTpW7FKlgapn0LSkRWTiJOZtc/BSz2FIJJ50LK0kIyQLJJ04L7kmKllCyTtwIo5/BBZPsgbIVRirPkTL3CKb6qAkkRYgumuG2jgrdMV0Xs8yH3QaF3giCIDoRilBctAWT+BiLbzZvRwvMtSS1weS+CQdT4FzAKpzkJVEC14L5OKSyQ4EUeuhNLku5RFK9LHBkAaUSNtacI3En5rJCUCln1G4LgRSfTpUuDQklgiBimmiH4pTthiqYRLtqTxMTITHporKnSRIMXNgIncSzv2WBBDnkZi7L17EIJunOfHCGRUfIL8dOEAk7px4jqcfR8hzJNxSpBykCkdThSeAUelNCQokgiE5BzAkmhb1ZMJnDcuLD7VA4qea+DJwPU0VAT6g8ScEfniq5W8YidOT+ynZMcV8KIRS2MELw4ySQQkBnkXeGhBJBEETH02GCyb5nJnutRRtMEkaBLgT3TtkJJyZ5kgICymzILB4lVdcd3qNDoSQ/MqUgsti3Lows1ws3tGY5Ltd3IYFE2EJCiSCIrkmogsl2WgHRQsBOFZYT15ByjBwKJ3ELNgIqWJdM1ZriIdig8iwpBZLluI1nx6EwEq1F6jkS5bYXSDELY4DDxZFbbyP+IKFEEESnJGqj4iIVTK06niQvk0LYqISTMlQnmpeFlVFUecMs+iHShxf8MkohpCw7C6WJ1u08QbbXU5wnty8TBR0Qq54kprMWuW9htkFCiSAIIvboMMFkObE1gp9jJ5xEqE6UbUJpKiEldzVK+kh56zZCxC5UF7IwktsJsX3LdWTiWCAJmI7IPUrxOT2Ay96EkHnqqafQv39/dOvWDYMHD8Y//vGPju4SQRAEQRBtAHmUQuT111/HzJkz8dRTT2H48OF45plnMH78eOzbtw/nnntuR3ePILosUfcsiYbN7QszJyE5pRfBmYfJkgyu9DTJnTKq7Z5FuG4Om4esjMCEGvJy6kFyXG7/HKSY9yQZUOhNDXmUQmTJkiWYOnUqfv3rX2PAgAFYunQpcnJysHz58qD2DQ0NqKurM20EQbQdGovyx4kh6IfTch2mSRtC2KRzdWMzjmvGeqX8mpqu+ZdMke2l85iu2Jix6Vp4mzg/+Cbuy9Iv/8b7H7gf/2Y5L6JnGuS5qt6dzbsOh6j/HLY1yh+WELc4hDxKIdDY2Ijy8nLcfffdpvoxY8Zgy5YtQc9ZtGgR5s+fb6nX6+vbpI8EQZiJ+rfKxktjclqovpTKYfpO7UJrN2Ivm0OcemhE0eHoOce5UIp2bZf1i6YHKYpN8u9Ee3hqmtEUcaeb0RSdzsQYJJRC4JtvvoHP50NGRoapPiMjA1VVVUHPmTt3LkpKSkT5yy+/xMCBA3Hk/gfatK8EQRBEfHDy5El4vd42aTspKQmZmZnYXLUuKu1lZmYiKSkpKm3FCiSUwkCe3ZYxppzx1uPxwOPxiPJZZ52Fffv2+cXSkSNITU1t0762FXV1dcjJyaF7iAHi4T7oHmKHeLiPeLqHffv2ITs7u82u061bNxw6dAiNjY1RaS8pKQndunWLSluxAgmlEOjduzfcbrfFe1RdXW3xMqlwuVzo06cPACA1NbXT/iPm0D3EDvFwH3QPsUM83Ec83EOfPn3gcrVtOnG3bt3iTtxEE0rmDoGkpCQMHjwYZWVlpvqysjIMGzasg3pFEARBEERbQR6lECkpKUFxcTHy8/NRUFCAZ599FhUVFbj11ls7umsEQRAEQUQZEkohcsMNN+D48eNYsGABKisrkZeXh3Xr1qFv376O2/B4PLj//vtNuUudDbqH2CEe7oPuIXaIh/ugeyCiicbidYYogiAIgiCICKEcJYIgCIIgCAUklAiCIAiCIBSQUCIIgiAIglBAQokgCIIgCEIBCaV25qmnnkL//v3RrVs3DB48GP/4xz/a5brz5s2DpmmmLTMzUxxnjGHevHnIzs5GcnIyRowYgb1795raaGhowB133IHevXsjJSUFkyZNwtGjR002NTU1KC4uhtfrhdfrRXFxMU6cOGGyqaiowMSJE5GSkoLevXtjxowZQWeF3bRpEyZOnIjs7GxomoY333zTdDzW+rx7924UFhYiOTkZffr0wYIFC8AYs72PKVOmWN7N0KFDY+Y+rrrqKlxxxRXo0aMH0tPT8ZOf/AQHDhzodO9i4cKFtvcR6+9iwoQJuPTSS8VEigUFBfj73//eqd7DU0891eo9xPo74P+uW7Jo0SJomoaZM2d2qndBY7kcwoh2Y9WqVSwxMZE999xzbN++fey3v/0tS0lJYYcPH27za99///3skksuYZWVlWKrrq4Wxx966CHWo0cPtnr1arZ79252ww03sKysLFZXVydsbr31VtanTx9WVlbGPvzwQzZy5Eh22WWXsebmZmEzbtw4lpeXx7Zs2cK2bNnC8vLy2IQJE8Tx5uZmlpeXx0aOHMk+/PBDVlZWxrKzs9ntt99u6fO6devYvffey1avXs0AsDVr1piOx1Kfa2trWUZGBvv5z3/Odu/ezVavXs169OjBFi9ebHsfkydPZuPGjTO9m+PHj5tsOvI+3G43u+GGG9iePXvYrl272DXXXMPOPfdcdurUqU71LnJzc9mLL77Y6n3E+rtITk5mU6dOZQcOHGAHDhxg99xzD0tMTGR79uzpNO/h5ptvZmvXrlXeQ6y/A/7vmvPBBx+wfv36sUsvvZT99re/FfWd4V20vA9CDQmlduT73/8+u/XWW011F198Mbv77rvb/Nr3338/u+yyy4Ie03WdZWZmsoceekjU1dfXM6/Xy55++mnGGGMnTpxgiYmJbNWqVcLmyy+/ZC6Xi61fv54xxti+ffsYALZt2zZhs3XrVgaAffzxx4wxv/hxuVzsyy+/FDb/+7//yzweD6utrVX2XxYYsdbnp556inm9XlZfXy9sFi1axLKzs5mu68r7YMz/Yfjxj3+svPdYu4/q6moGgG3cuJEx1nnfhXwfnfFdMMZYWloa+/Of/9xp30PLe2Csc72DkydPsgsvvJCVlZWxwsJCIZQ687sgrFDorZ1obGxEeXk5xowZY6ofM2YMtmzZ0i59OHjwILKzs9G/f3/8/Oc/x+effw4AOHToEKqqqkx983g8KCwsFH0rLy9HU1OTySY7Oxt5eXnCZuvWrfB6vRgyZIiwGTp0KLxer8kmLy/PtMjj2LFj0dDQgPLycsf3Emt93rp1KwoLC02Tw40dOxZfffUVvvjiC9v7ef/995Geno6LLroI06ZNQ3V1tTgWa/dRW1sLAOjZsyeAzvsu5PvobO/C5/Nh1apVOH36NAoKCjrle5DvobO9g9tuuw3XXHMNrrrqKrSkM74LQg0JpXbim2++gc/nsyyem5GRYVlkty0YMmQIXnrpJbz99tt47rnnUFVVhWHDhuH48ePi+q31raqqCklJSUhLS2vVJj093XLt9PR0k418nbS0NCQlJYX0HGKtz8FseNnuvsaPH49XX30V7733Hh577DHs2LEDP/rRj9DQ0BBz98EYQ0lJCX7wgx8gLy/PdH+d6V0Euw+g87yLSy65BB6PB7feeivWrFmDgQMHdqr38M9//hNnnXWW5R6AzvMOXn75ZXz44YdYtGiR5Tqd6V20x/ens0NLmLQzmqaZyowxS11bMH78ePH/gwYNQkFBAc4//3ysXLlSJEqG0zfZJph9ODZOiaU+B+uL6tyW3HDDDeL/8/LykJ+fj759+2Lt2rW49tprY+o+br/9dnz00UfYvHmzpZ3O9C5U99FZ3sXKlSvRv39/rF69GpMnT8bGjRtbPSfW3kPfvn2xa9cunDhxwnQPAwcO7DTvYOnSpdiwYQO6deum7FNneBft8f3p7JBHqZ3o3bs33G63Rb1XV1dblH57kJKSgkGDBuHgwYNi9FtrfcvMzERjYyNqampatTl27JjlWl9//bXJRr5OTU0NmpqaQnoOsdbnYDY8XBDq+83KykLfvn1x8ODBmLqP5cuX469//Ss2bNiA733ve+J4Z3sXd9xxR9D7CEasvov8/Hzk5+dj0aJFuOyyy/DHP/6xU72H733ve7jgggss9xCMWH0HNTU1GDx4MBISEpCQkICNGzfiiSeeQEJCgtJbE4vvoiO+P50NEkrtRFJSEgYPHoyysjJTfVlZGYYNG9bu/WloaMD+/fuRlZWF/v37IzMz09S3xsZGbNy4UfRt8ODBSExMNNlUVlZiz549wqagoAC1tbX44IMPhM327dtRW1trstmzZw8qKyuFTWlpKTweDwYPHuy4/7HW54KCAmzatMk0JLe0tBTZ2dno16+f4/sCgOPHj+PIkSPIysqKift4++230b17d7zzzjt477330L9/f1N/O8u7yMrKwuLFi/HGG28EvY9gxNq7CPYzxRhDQ0NDp3kPwf5N8HvoLO8gMzMTH330EXbt2iW2/Px83Hjjjdi1axfOO++8TvsuiCC0WZo4YYFPD/D888+zffv2sZkzZ7KUlBT2xRdftPm1Z82axd5//332+eefs23btrEJEyawHj16iGs/9NBDzOv1sjfeeIPt3r2b/eIXvwg6lPV73/see+edd9iHH37IfvSjHwUdynrppZeyrVu3sq1bt7JBgwYFHco6atQo9uGHH7J33nmHfe973ws6PcDJkyfZzp072c6dOxkAtmTJErZz504xnUIs9fnEiRMsIyOD/eIXv2C7d+9mb7zxBktNTWWLFy9u9T5OnjzJZs2axbZs2cIOHTrENmzYwAoKClifPn1i5j4SExNZt27d2Pvvv28asv3dd9+J8zrDuygoKGBer1d5H53hXSQlJbHp06ezQ4cOsY8++ojdc889zOVysdLS0k7zHn70ox+xTZs2Bb2HzvAO+L9rmZaj3jrLu6DpAZxBQqmd+dOf/sT69u3LkpKS2H/+53+ahia3JXwOj8TERJadnc2uvfZatnfvXnFc13V2//33s8zMTObxeNiVV17Jdu/ebWrjzJkz7Pbbb2c9e/ZkycnJbMKECayiosJkc/z4cXbjjTeyHj16sB49erAbb7yR1dTUmGwOHz7MrrnmGpacnMx69uzJbr/9dtOwVc6GDRsYAMs2efLkmOzzRx99xH74wx8yj8fDMjMz2bx585iu663ex3fffcfGjBnDzjnnHJaYmMjOPfdcNnnyZEsfO/I+gvUdAHvxxRfFOZ3hXdjdR2d4F5dffrn4/XHOOeewUaNGCZHUWd7DzTffrLyHzvAO+L9rGVkodYZ3QVMDOENjjKbmJAiCIAiCCAblKBEEQRAEQSggoUQQBEEQBKGAhBJBEARBEIQCEkoEQRAEQRAKSCgRBEEQBEEoIKFEEARBEAShgIQSQRAEQRCEAhJKBEEQBEEQCkgoEQRhYsWKFTj77LNDOueLL76ApmnYtWsXAOD999+Hpmk4ceJE1PvX0fTr1w+apkXl/kaMGCHa4s+OIIjYgoQSQXQwXFSotpEjR3Z0F0Nm2LBhqKyshNfrtbXtjKJqwYIFju+vNd544w3TgqcEQcQeCR3dAYLo6nBRIfPXv/4Vt956K6ZPn94BvYqMpKQkZGZmdnQ32owePXpE5f569uyJurq6KPSIIIi2gjxKBNHBcFHRcqupqcH//M//4J577sF1110nbDdu3Ijvf//78Hg8yMrKwt13343m5mZxfMSIEZgxYwbmzJmDnj17IjMzE/PmzTNdb8mSJRg0aBBSUlKQk5OD6dOn49SpUyH1+YMPPsDll1+Obt26IT8/Hzt37jQdl71Ehw8fxsSJE5GWloaUlBRccsklWLduHb744gvhMUtLS4OmaZgyZQoAYP369fjBD36As88+G7169cKECRPw2WefiWvwcN8bb7yBkSNHonv37rjsssuwdetWU1/++c9/orCwEN27d0daWhrGjh2LmpoaAABjDI888gjOO+88JCcn47LLLsP/9//9fyE9CyAQrvzb3/6G3NxcdO/eHf/1X/+F06dPY+XKlejXrx/S0tJwxx13wOfzhdw+QRAdBwklgogxTpw4gZ/85CcoLCzEH/7wB1H/5Zdf4uqrr8YVV1yBf//731i+fDmef/55PPDAA6bzV65ciZSUFGzfvh2PPPIIFixYgLKyMnHc5XLhiSeewJ49e7By5Uq89957mDNnjuP+nT59GhMmTEBubi7Ky8sxb948zJ49u9VzbrvtNjQ0NGDTpk3YvXs3Hn74YZx11lnIycnB6tWrAQAHDhxAZWUl/vjHP4rrlJSUYMeOHXj33Xfhcrnw05/+FLqum9q+9957MXv2bOzatQsXXXQRfvGLXwjxuGvXLowaNQqXXHIJtm7dis2bN2PixIlCrPzud7/Diy++iOXLl2Pv3r248847cdNNN2Hjxo2Onwfnu+++wxNPPIFVq1Zh/fr1eP/993Httddi3bp1WLduHV5++WU8++yzYQkxgiA6EEYQRMzg8/nY+PHj2YABA1htba3p2D333MNyc3OZruui7k9/+hM766yzmM/nY4wxVlhYyH7wgx+YzrviiivYXXfdpbzm//t//4/16tVLlF988UXm9XqV9s888wzr2bMnO336tKhbvnw5A8B27tzJGGNsw4YNDACrqalhjDE2aNAgNm/evKDtybYqqqurGQC2e/duxhhjhw4dYgDYn//8Z2Gzd+9eBoDt37+fMcbYL37xCzZ8+PCg7Z06dYp169aNbdmyxVQ/depU9otf/ELZj759+7LHH3/cVPfiiy8yAOzTTz8Vdbfccgvr3r07O3nypKgbO3Ysu+WWW0zn8vvgz44giNiCPEoEEUPcc8892Lp1K/7v//4PqamppmP79+9HQUEBNE0TdcOHD8epU6dw9OhRUXfppZeazsvKykJ1dbUob9iwAaNHj0afPn3Qo0cP/PKXv8Tx48dx+vRpR33cv38/LrvsMnTv3l3UFRQUtHrOjBkz8MADD2D48OG4//778dFHH9le57PPPkNRURHOO+88pKamon///gCAiooKk13L+83KygIAcb/coxSMffv2ob6+HqNHj8ZZZ50ltpdeeskU4nNK9+7dcf7554tyRkYG+vXrh7POOstU1/JdEAQR+5BQIogY4fXXX8fixYuxatUqXHjhhZbjjDGTSOJ1AEz1iYmJJhtN00S46vDhw7j66quRl5eH1atXo7y8HH/6058AAE1NTY76ya8ZCr/+9a/x+eefo7i4GLt370Z+fj6efPLJVs+ZOHEijh8/jueeew7bt2/H9u3bAQCNjY0mu5b3y58Dv9/k5GRl+9xm7dq1+P/buZeQVKI4DOCfErTRRbSIEHtjjEnZoqhd0MLatY5WuRErGC2oSIpoYdJjEz2olUTQKhBroCCXEr3UFpOLXhZFoC2CoI1x7yIQ4jZdp9ulbvf7wdmI55z/zCB8zPzHaDSaGbIsv+vx2Gvn/a1rQUT/BgYloi8gGo2is7MT4+PjsNlsr37HbDYjHA6/CCrhcBh6vR4GgyGrffb395FOpzE1NYWGhgaYTCbc3NyoqtVsNiMWi+Hx8THz2c7Ozm/nGY1GOBwOrK2tobe3F0tLSwCem9kBvGhyvru7w/HxMTweD5qbmyEIQqYBW43q6mpsb28rHkdubi4uLy9RUVHxYhiNRtV7EdH3xKBE9MlSqRTa2trQ1NSEjo4O3N7evhjJZBIA4HQ6cXV1hZ6eHsTjcQQCAYyMjMDtdkOrze6nXF5ejnQ6jZmZGZydnWF5eRkLCwuq6m1vb4dWq4Xdbocsy5AkCZOTk2/OEUURm5ubOD8/x+HhIUKhEARBAAAUFxdDo9FgfX0dyWQSDw8PyMvLQ35+PhYXF3FycoJQKAS3262qTgAYHBzE3t4enE4njo6OEI/HMT8/j1QqBb1ej76+PrhcLvj9fpyeniISiWB2dhZ+v1/1XkT0PTEoEX2yjY0NJBIJSJKEwsLCX0ZdXR0AwGAwQJIk7O7uoqamBg6HA3a7HR6PJ+u9rFYrpqen4fP5YLFYsLKyAq/Xq6penU6HYDAIWZZRW1uLoaEh+Hy+N+c8PT2hq6sLgiCgpaUFlZWVmJubyxzX6OgoBgYGUFBQgO7ubmi1WqyuruLg4AAWiwUulwsTExOq6gQAk8mEra0txGIx1NfXo7GxEYFAADk5z38hNzY2huHhYXi9XgiCAJvNhmAwmOmHIiLS/HhPwwER0X+qpKQEoihCFMUPWe/i4gKlpaWIRCKwWq0fsiYRfRzeUSIiUqm/vx86nQ739/d/tE5rayuqqqo+qCoi+ht4R4mISIVEIpF5Q7CsrCzr/rDXXF9fZ5rii4qKMo3tRPR1MCgRERERKeCjNyIiIiIFDEpEREREChiUiIiIiBQwKBEREREpYFAiIiIiUsCgRERERKSAQYmIiIhIAYMSERERkYKfJwAMfFCvrhUAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.pcolormesh(fieldset.U.grid.lon, fieldset.U.grid.lat, fieldset.U.data[0, :, :])\n",
    "plt.xlabel(\"Zonal distance [m]\")\n",
    "plt.ylabel(\"Meridional distance [m]\")\n",
    "plt.colorbar()\n",
    "\n",
    "plt.plot(pset.lon, pset.lat, \"ko\")\n",
    "plt.show()"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The final step is to run (or 'execute') the `ParticelSet`. We run the particles using the `AdvectionRK4` kernel, which is a 4th order Runge-Kutte implementation that comes with Parcels. We run the particles for 6 days (using the `timedelta` function from `datetime`), at an RK4 timestep of 5 minutes. We store the trajectory information at an interval of 1 hour in a file called `EddyParticles.zarr`. Because `time` was `not_yet_set`, the particles will be advected from the first date available in the `fieldset`, which is the default behaviour.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO: Output files are stored in EddyParticles.zarr.\n",
      "100%|██████████| 518400.0/518400.0 [00:03<00:00, 172443.78it/s]\n"
     ]
    }
   ],
   "source": [
    "output_file = pset.ParticleFile(\n",
    "    name=\"EddyParticles.zarr\",  # the file name\n",
    "    outputdt=timedelta(hours=1),  # the time step of the outputs\n",
    ")\n",
    "pset.execute(\n",
    "    AdvectionRK4,  # the kernel (which defines how particles move)\n",
    "    runtime=timedelta(days=6),  # the total length of the run\n",
    "    dt=timedelta(minutes=5),  # the timestep of the kernel\n",
    "    output_file=output_file,\n",
    ")"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The code should have run, which can be confirmed by printing and plotting the `ParticleSet` again\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "P[0](lon=226905.562500, lat=82515.218750, depth=0.000000, time=518100.000000)\n",
      "P[1](lon=260835.125000, lat=320403.343750, depth=0.000000, time=518100.000000)\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(pset)\n",
    "\n",
    "plt.pcolormesh(fieldset.U.grid.lon, fieldset.U.grid.lat, fieldset.U.data[0, :, :])\n",
    "plt.xlabel(\"Zonal distance [m]\")\n",
    "plt.ylabel(\"Meridional distance [m]\")\n",
    "plt.colorbar()\n",
    "\n",
    "plt.plot(pset.lon, pset.lat, \"ko\")\n",
    "plt.show()"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Note that both the particles (the black dots) and the `U` field have moved in the plot above. Also, the `time` of the particles is now 518400 seconds, which is 6 days.\n"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The trajectories in the `EddyParticles.zarr` file can be quickly plotted using `xr.open_zarr()` (note that the `lon` and `lat` arrays need to be transposed with `.T`).\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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T0aguV7Eyu5apeLKGsD35CO2D84mR2iqoLK5v11RVbPPY9tZo/7i8AIpOtdnbckLnZS/YfPTOIs5Hr4TgyfWOT4bJT6kLt8AI1QrK0uKroXZZLmuwAZcugtG3110I9obj62ym+b2U96y6FI7/YN/HVOelPNJ9J6uLoNjB9YJTkgwED0EEWgenxb5gl+1kdPDgfjmouULT4OxOJcr2fWZzstBB9zEqE9Ou2bfEzrQLqkpVCYmSTOXB+fb3OHlwwnpATbkSWo11aGgudF7q9+Plozo6eHk7PPZRYyyPaypVL1VHAuo8TLVVym53eqxeKH4hEGjTi9Ui4ALClWjav7LhrE+LIO59pbPn3lSj+ogeXQNH10LuAfvnBsdC36uUwEx9V5IMBI9ABFoHp8W+4JMb4b1ZzuvF62N/Be7tC3s/hl0fwLlD9WPCusOwW2DYTeq+1B1rGxrrvFBeoISXte1RVr0Ys7RAsvXKuINfsEr08A9t5NZQ/9hUDZ/e6lw8+J4tENatTnRZxJibNQYb6t3peIFgNimxVlup7KmthNpqh8dV9YKutgpKsuG7J3AqudPzMiVaKwpUEkBFEQ1OTbpLnynQdYQqumxIUEtghP3nUnQGjq1VYu3EemWLK+RCSWhDpMyGcGFE9AZ0OHl9Ijp5GQ3HaV+dV/19nwAYOBuG3wI9LrUPWLaUHJCYvdbBVAubXoMfnkH9hnWqTIOPvl6MNdXbpQ9V/UcDIyB9i/02nRf8YqkqL2MrwFz1Kj0fVcXOIj46yf39OGLoqjxFjvt2/A16eYNfoFrcITDi/BcfZpOa8i23CLYCF/frHlvWl51TotCRY2vUYotvYJ1Y66b6xRq6qcLZ4+5XMbOFJ2HnMjj4X/vnaSb4YiFc9QTEDXXvfQtCO6NNPWhvv/02b7/9NqdOnQJg0KBBPP7440yfPh2ABQsW8N5779k9Z8yYMWzdutX6uKqqiocffpiPPvqIiooKrrzySv7617/SrVs365jCwkIeeOABvvjiCwBmz57NW2+9RVhYmHVMeno69913H99//z0BAQHMnTuXl19+GT8/P+uYtLQ0Fi5cyPbt24mIiOCuu+7ij3/8Izo3rpBbVIH/8yqVPQXi9QHVj/C1ZJw8AbFDYdStkHy9qt0ktB6mGtUj8twhVcH+3MG62yOgNWHKLjAKQuPtlxDb+3FKdFloaU9oSybetLd9NxSXZktgVBP6f6KEdFA0lGY3PCZ2MAz/NQz+hSQYCK1Cp/KgdevWjeeff54+ffoA8N5773HNNdewa9cuBg0aBMC0adN49913rc+xFUwADz74IKtWrWL58uVERkayePFiZs6cSWpqKt7e6qp47ty5ZGRksHr1agDuvPNO5s2bx6pVqviiyWRixowZdOnShU2bNpGfn8/8+fPRNI233noLUF/M5MmTmThxIjt27ODIkSMsWLCAoKAgFi9e3LIfVFPIOwZZaer+1S9D0tWd2+uT8TN8fi8up2mmPiPTvs1FQ1OStdUqm9hRiOUfcy926vL/URl+FvHlo3fPvpb2hLZk8eD2tm9Hz58rfrlUFbEtPgvGM2pq03hGXUwVpatbY4Zq8t6YOANVJPeb/1FLSDxMexYGXCOlO4QOg8fFoEVERPDSSy9x++23s2DBAoqKivj8889djjUajXTp0oVly5Zx4403ApCZmUlCQgJff/01U6dO5eDBgwwcOJCtW7cyZswYALZu3UpKSgqHDh0iKSmJb775hpkzZ3LmzBni4+MBWL58OQsWLCA3N5fQ0FDefvttlixZQk5ODnq9Okk8//zzvPXWW2RkZDToRauqqqKqqn5qpri4mISEhOZV4Dvfhy8ewCpGZr0JI+c3z77bG8WZKsZm78eut0sMS/NhN32sg75Twce3Togdb/gk7RukepBGD1C3XfqDfxi8O00awncEjGfhzHb47DaH77OJTdfNZijNqRNr6XD4G0j7xD0bBl6jskJ9AyBxAkT1adhWyRAVmkin8qDZYjKZ+OSTTygrKyMlJcW6fv369URHRxMWFsaECRN45plniI6OBiA1NZWamhqmTJliHR8fH09ycjKbN29m6tSpbNmyBYPBYBVnAGPHjsVgMLB582aSkpLYsmULycnJVnEGMHXqVKqqqkhNTWXixIls2bKFCRMmWMWZZcySJUs4deoUiYmJLt/Xc889x5NPPtlsn5MTxrPqJGnrKfryIVVfqDMdcKrLYfNbqtK5JcB42M3QZQB896fGY3mEplNRpE6+R7+FHf+02aDB0dX2Y/1C6oRYfyXCLEtoV9dejqbEXQmej6ErGK6D6hJ7b5p/WNMarHt5QWicWhJGQ8JYlWntKPamPqcSRHZ/BGW59vs48F+1WAiKUvuJHlC3DIT0rfDVIskQFTyWNhdoaWlppKSkUFlZSXBwMCtXrmTgwIEATJ8+nV/+8pf06NGDkydP8sc//pFJkyaRmpqKXq8nOzsbPz8/wsPD7fYZExNDdrZyj2dnZ1sFnS3R0dF2Y2JiYuy2h4eH4+fnZzemZ8+eTq9j2daQQFuyZAmLFi2yPrZ40JqNguPOMR+aSU3pdPSTm6Uo77nD8NMbUJyh1ieMhWnPqcwxULFmEux/YRRnQfpmOL1FBdzn7KfR7L7Rv4Gk6UoYh8a7l8EoiRkdC8v3mb1XCaHiTPjifpjzvnu/i4aSJixiavJT6rY0V/Ud3v53532U5alah4e+dP0amlld6PaepBIWBMEDaHOBlpSUxO7duykqKuKzzz5j/vz5bNiwgYEDB1qnLQGSk5MZNWoUPXr04KuvvuL6669vcJ+aptlNObqafmyOMZbZ4caSBPR6vZ3XrdmJ6G2fmQidI3vTVVFeQ4I6WA+6zv4EIE3GnXE1taNpSvCe3qzE2OnNzj1HAcITIW4YHPgcp6zhSxdd3Gct31XHwvJ9BkXDv6fCwS9g48uq1qA704pNEe/B0XD1SzBgluuSQ6ASC3z8VfyaY8apZoZ3LoNeE6B7CnQfCzHJF5bhKwjNQJsLND8/P2uSwKhRo9ixYwdvvPEGf/vb35zGxsXF0aNHD44ePQpAbGws1dXVFBYW2nnRcnNzGTdunHVMTk6O077OnTtn9YDFxsaybds2u+2FhYXU1NTYjbF402xfB3DyvrUq1qtLG7HS0aeGjGftY+4A0MGv/wuRvdvKqvaDY3X9gdequlnpW50z7HRe6iTVPQV6pKjbkFib/TwoU5LC+ek2EiY/Cd8+Bj88rda5O63YVPHu6qLVQnYaDJgNVz4O71/jPKaiQBXf3b9SPfYLUdOsFsHWdZT7ZU0E4QJpc4HmiKZpdkH1tuTn53PmzBni4uIAGDlyJL6+vqxdu5Y5c+YAkJWVxb59+3jxxRcBSElJwWg0sn37di655BIAtm3bhtFotIq4lJQUnnnmGbKysqz7XrNmDXq9npEjR1rHPPbYY1RXV1szSdesWUN8fLzT1GerM+LXqmbU25cCZlV0siPz4ys4T7NpagpFBFrj5B21F7eaGfavqN/urYduo+pOSCnq5NRQKRKZkhTcYeA1SqBZ0MxK4Pe+snl/O66mRCf9EfIOw57lyot36EtIuETFU2pmwAvG3KVEWP5RdbFyZruqdXf8e7WAKkAcN0yNs4i2oChJNhBahDbN4nzssceYPn06CQkJlJSUsHz5cp5//nlWr15NSkoKTzzxBDfccANxcXGcOnWKxx57jPT0dA4ePEhISAgA99xzD19++SVLly4lIiKChx9+mPz8fLsyG9OnTyczM9Pqlbvzzjvp0aOHXZmNYcOGERMTw0svvURBQQELFizg2muvtZbZMBqNJCUlMWnSJB577DGOHj3KggULePzxx90qs9GiWSDvzVIdBUbdBpc93DEPFJvfgjV/cF4vGX8NU12uWursXwmHvgZztfOYEfNh2FyIH+5+KQtBaAqt3e3EVa23nAPw/dNw+Cv12MsPYgaqODnHZAGzSbWgSt9aN+W/RSUlOBIUXZ+kIMkGHZpOlcWZk5PDvHnzyMrKwmAwMGTIEFavXs3kyZOpqKggLS2N999/n6KiIuLi4pg4cSIff/yxVZwBvPbaa/j4+DBnzhxrodqlS5daxRnAhx9+yAMPPGDN9pw9ezZ/+ctfrNu9vb356quvuPfeexk/frxdoVoLBoOBtWvXct999zFq1CjCw8NZtGiRXQJAmxNUN9X6878hdWnHO1D89Cas/aO632+6Eh0yveaamgrVNmf/SjiyuuHWOaA+vwm/k89PULSUN6il42Ud7XY1JRozEG76j/KOffcEnP4JsnbXb3f06sUOVssld6gYzaL0esGWvlXV97PNINXMKhGiLE9d8FjCAQThAvC4OmgdndZtlt4BvEqWg+6J9XVTm8CER2HikpattN5esD0pBUbCse/qRVl1af24sO4w6HqVQJG1R5VikT6j7ZfmElG1VVBVoqbyqkog7TPY/CbWdlujFqg2aJqmji0XupjNkLkTDn9t//rDboY+V6q2a77+jd96+zac/ekYV9mUi1NNg02vw7onnLc11at38Cv4eG4DG3WqKG//GSpxQcIv2j3SLL2DI83S3cBVpuYVS+CKR9vOJk/C8fPx1tv3qzQkwKBrlSiLH2F/chNx235xFCPjH4Sel9YJrbqlurRedFmXUnsxVlWiKva3F3ReroWbzguy9zgOVnFnkb1VjFhgpFoCIsDbZuKoofZUv/5CZXNaxjQkhl0+X6caw2en2Y/t0l+Jtf4zVSiBO6VGBI9ABFoHp1U9aADX/BWG39x8r9NaNHTge2i/CApQB/93LsMpWSI4VvUmHHSdShyRk0Db4463y2xSTcdLslQNupJMKMmuu5+lptjyjza/jX7B4OULlYXO22IGq16XXt5KDDkturrbRraX5qiQBFdE9lWJKLWVamrecltTAbUVzf9e/cOUWLMIt4oCSN+G039p8lNKAK7+XeOeuYb6vRZnwqGv1HLqR/sWZ6Fd68TaDOgxXtVwkyQDj0cEWgenRb9g2wMFOkBTB91fvqtc7O2JjugRbA5Kc9UU1La/23vLLPx6FfS6vPXtElzj6O2asAQSRtWJrjrxVZJVL8hKcxpukdUY4YmqV6k+BPTBdbchoA9Vt34u1lnG+QUr8dWSYRKNNVJv7DU0TU3D1lZATaXrW1fdVNBBr4kq9rI8X5WPqXAhPt1GB5fcCTGDVNhAeA8I7aZEdWMe6YoiJVAPfQlHv4OasvptPgH1QlSSDDwaEWgdnBb/gi1TV2HdYd2TqkWKzhumvwhd+rWfKzTjWXhtEE6FUNt7TN2FUpyluiWkvutcYNNCZ/58PIWqEjh3RJV0yPgZfv6X+/vQeUFwjBJcIXUtj0JiVUNwLx/4/O6WizVtyBvUHOx8H774LeBCpF3shVdT7DbVQmWRCuAvz68XbuX5UF5Qv740F3LSXLxIQ+hU14yw7hDWo+62u42A66ri5yzUVKqY2r0fK9FmGytq2d+9W1WLNMGjEIHWwWnVL9hsgs/vhb3L69e1pys0S9kQ6LzB7MYMFci88/16j1nXUSoOrzhTgv1bgqZMSZblw7lDSoidO1J3/wgUnz3//sN6qNiokHglvELj6sVYSJyqiN9Y9fqWFFHQsvGJGanwz0n265rTS9ecdm/7O3zzP87ru41W06RF6Wo53zSszkuJNFsBZzwDe/6jPISu8PaH4XOVty56wEW/FaF5EIHWwWntL5iidHh9sP269uBp0TR4LVn115z0OAz9lWfb21xYxIG3HvZ8BLs+qA/kThgLV/xOTd1YYssk2L95cZySvOpJNZ2Vd0T1fD13WImy8vyG9xEco5rEh3ZVhVFbwgvcXr93TYOX+6opQfD8C4vVS2DrX+3X2X6HmqbeS1G6aotWlA6Fp+vFW1G661AEd+h5mRJqSVfbJzgIrU6nqoMmtAKFp5zXaSbY8DxMe8Fz25YcXavEmU8ApNwLvgFtbVHL4yprFdQBesIj6tYx6F96VzYPZrMK5HbssmCpu+eKsO4QlaTEWJcklaUX1RcC6tvO0WNcy7TDaq/fe9YeJWi8/eHGZUr8evL7SJruLNA0kxLHhq7q/xgcrZZuo5yfbzbXCbjT9SLuzDY48m3TbTj1o1oAJv4BRi6A4C7Onl7pZtDhEIHW0WmoL93O91Ww6sTHVEFFT2oIvPP9uhMlavog7RPPvcJuLlz2FwXmvK9a5AjNS20VZO6uLzh6ZmvDQeSh3SB+mI0I66eEmF/Q+V9H2mHZk7pU3faaAP2mtKkpTcJlcV2vphfX9fKCkBi1JKhWgxjPwlEXGep9pkCVEfKPOffEtfDD0/W9TG3tGfIrFcriTh04weORKc5WptWnOME5ZmX4zXB8PRjT1fbogXDVE9B3StuXZeioBXcbw2yGz++xjxW00NmzVpuLikJVPd4iyM7udJ568vYHk0MCRkf/7bUmqe/BqroLL3Qw+832ISLssuMB3yB4YJcSXc2xT1fTvKW5kLNPtabK2a+K/J471PT9y++2RZAYtA5Omwg0cI5ZqamEHf+AjS+rzCZQU2iTn1S1tNrKVd7ZymtUFMHKu1Tlf0fkIOse1imeXipBxrEljyNBXSBhTH1j+LghKu6vJQPwOyvtPSvbeFYlg3z7qBJKvSbCpQ9BZJ8Lt9/dOEJTrRr/wzNw4PPzj4/qB/2mqWn27mPtp96FC0IEWgenzQRaQ1QUwo+vwra/OXsU2sJV3pk8aLkHYfnN9UkBg3+pBIKIA/fZ/Bas+SNOU8S2RPZRJyqLIIvo5dpj3F4D8D2Zbx6FbW87r29vF145+1WBaIs3zVOOkedFp2ZKeqTUCbZxKntYcAsRaB0cjxNoForOwLd/gIOfO2zQwW/WQbeRrWeL45RCykKY+kzrvX5LYvHy5B+Hb3+vClYaElTAdPxwEQfuUJwFB7+APR9DZqrz9tghkHi5EmMJY1RgtdD6pH0Kn93uvL49Xnh5iifQborUC/xCVPyahRHzlRA7/ROc3uK6+0R4ohrTY5z9BYskGzSICLQOjscKNGh4ehHU9OfgX8CA2artS0tjPAtfPQxHvlbtUMbc3f4PGK6yNHteBr9cqtrOCOenOBMOfKGmeNK30qjHrL15ZzoiR7+Dj25UbY56XganN7dvD7EnhWDYXswFx8CPr6hi1pYuBUN+pUJWzCY4m6pKw5w7rERbzj5nD1xwjCq4m7kb0CTZwAUi0Do4Hi3QmuI69/KFvpOVWOs3vWXLdJzdCf+YWP+4PR8wGuot+ts9qtq40DDFmXDgv7D/c5VtaUu3S6D3RNj4UueYFm8vGM+qtkZrH1edL5JvgOv/qVpatWcPsaeHYJTlqQ4yO5cBmgqdMFXjJLgqjXBmhxJr6VuUgDNVu9ihDm7+FPpc2fYJZB6ACLQOjkcLNHCdXdRromoZlfapfQsU3yAYMFPFTvW6ovkb/hoz6qYTbPCkg6E7eNKVtydjmV7xDVL1og58rm5tSRgDA6+FgbPB0E2ta+nq+kLTcfQURw+AOzeCj1/b2tVcWMsAaXhsNurZVPUdZDu0rGro+FlTCT//G75d4np/YT1UP+cBs9RFkZdXy9jt4YhA6+B4vECDxuOgcg8qoZb2iSq6aMEvCKrLaVbXeEcSNcaz8NpA+3XtVWy2FNv/AV//Dy6nLRPGwqBr1RR7Q5+XxO+1PcYM1QGkrWO0Wpp1T6kpxf4z4Ff/aWtrXHN8Ayyb7by+oeNnQ15+b719+ZngGNXVYMAsNW3dUYR3E5BOAkLb01iV8ugBcOUfYdIfVDPotE/UUlFQP0Yzwxf3q757/aaok2tQpPt2uCyyq2t6kUhPoiTL/nFzVpVv71QaVbmXzW86b7viMRgxT8XGnI/2Wl2/o5B3FD5ZgJPAtq2831GISVa3BSeVsPHE9xbVx3WR8kqj6/GGrurC2tETnXwDHFunpqwPr4bSHEh9Vy16AyRNg/4z1TRoRZEkGDQj4kFrZdqFB81djv8Ay65tfExUP5sSB2NVBlFTYhocMzpBZXVO/nP7cbMbM+CDG1T9pIHXwejbxcsDUF4AW99WJV6qGjhptEdvaWejtloFp298yXXfyY7sQQPPjo11dfz0CYA570G/qa6f05gnurZatZ06uAoOfQVlufXbvHzr+wZ78mdyEcgUZwenQwo0l4GzXpD8CxUD4apIaHBMnWCrK6IYk6waAbtK8basO7G+/qCYfANc+zb46Fv87V0UdvEqKGE5/oFGn9LhKcmBLX+BHf+qzziL6KO+444+NdbROLNDdQfIPaAe974Sel4K3z/dceMBPT1RwBGL4AqJVc3fj61V9l7zv6oMzYV6vMwmyNihxNr+lVB81mGADm5fU9/iqgMgAq2D0yEFGjQepF1eYNNmZ4vKzrRcaVnwC4bQrpB3BGsc28zXYeR8+3F7Pob/3luftn/1y+oqzhNd6u3tQN4S2ApuNPjpTdj5nsrsA1Wr7PL/UVMkuz+QQP/2gPGsShY68F/Y/RGgQWAkTHtBZXdba2l10HjA9hwba6qB/y60aSuno1nihk9sgPddxLuhU4lkl9ylhHs7zwQVgdbB6bACDZp+UK6pgMxd9W140rc1PMUVkwwxgyCyr4qpiOwLxjPw2W+gurR+nCe61Nvzgbw5sMvm09XFw9RNtXQbDZc/okq22B60O/KJvSOQ+p76Tm09nUPnqkLSrVEf0RPIToN3LrVf154uvMxm+PIh2LnUfv3FvIemlGiKHgRj7lJZ/y1ZnqkFEYHWwenQAu1CMZth1zKbRsrno+6qz2m1V90Bppv9+raqjN2ZPWgNHbC7XaISTBIvb/dX052KqhLY+g788LT9ep0XPLiv4/+ebVn/Aqx/tv5xe/T2tsTFo6tZlG6XwPa/wZ7lUFOuxgWEq89q9G8grHu76lwgWZxC58PLC/pc5ZxxpPOCGa+qCtj5x1SWWP7RhrOQNLOqmxYYCYkTIKovlGQr8aeZW9/LZsmK+uL++vfTWTI307e4vpq+8vHO4T3sKOQfV+VPdn8IVcXO2zVzx8vQbIz84yp+ElR4RZf+7dPb6ypDXud9cRnyI36tYhAdPeAzX1P/+10fwva/q/JMP72h+ufGDobsvaBJ5wJXiAetlREPWiM0pdiopqlq2emb4f/m02irn4YIT1RlG4KiIKhL3WJ7v+6xf1jjXp6mXvn9bQJk7YYZr8Ho25pmY0teVbb0Fevx7+GTW6GyyH59Z/EetnfMZji+TmXXHltbvz6sZ13tw06ayOGY8DPzDRi1oC0tujgcCwqPvhNmvNSyr2k2wZFvlVftxHrn7R7+exIPmtB5aegKzBadTjW9HniNquBtK+jG3qOK6JZmN/46hSfVcj68fBoWb3lHYfd/sAbYXrpIZZb66MHbD3z8VQFHbz1EJCqBlrOvaTWTbA+cF3JVaTarcgemapUWb3t//4r6tkjNfcVqNsOmV1UGHxoYukNxRt1rSd03j8RWrOuD1W96+z/qMmoBdNB3Coy5E3pNcp3I0Rm+U+NZ59i7rxapGMr2+v4tx9u1f4J9n8DJ9WCqVdn0LYWXN/S/Wi27PoD/3me/XTOpziGG61vOhnaEeNBaGfGgNTOugspPboTvn3Hu22jLyFsheiCUnbNZ8upvG0paaA78w1Qchq2I86lbzGY48b3zc3qMA7yU0DJV1QmvuqW2qv6+qVpluDaVi71itZzgg6JVbajDX6n1I+bD9BfV9LQE/Xsmjkkc3n71dcz0oTB8nqrZF9nb/nmdMZFj32fwqQvvd0dI+Kk0whvDVLHxlIUw9t7W+V4bilP1CYArHlV2eFiXAkkS6OCIQGslNA1O/KCu9m1bUlk4nzCprbIXbLZCLme/mgJyRF/3fdZWNtB4uI3w9lMLOqgucd5+oScZxykSUGJzxssSR+LJaJoqi7DsWpxCBMJ7wbj7YMivlEdNgLxj8N5M191APHg6zi0+vU2JUGjdWDC7sBYvCO+pxD9AVJI6liRe3vJ2NBERaB0cEWitjKbBd0/CT685b+t9Vd3UzRXuFbxtSnampimRdvx7+OhXzvuY/hJ0Sar3gFlEXUkOrHsS+zgfHUx9HoKj66dQvf3q7vsqUeTtV++Ns96vWyxxdM2ZVdrQ1e9N/wdJDVQoF9qO2io4tQmOrFZLUbrrcfNXedQJsc3JToNl16kLs6BoKM+zn7LvCBcibZ1tbuuRDY2HPR/Bmj+qzxpUwfOpz6j4tTbO9pQYNEFoTnQ6uOQO2PyGs5g4/p1a9AZImq7i2npPAl//xvfZUM8624OGTqcEVOwQ1/1E+89o+CATFNkyBVubYndTKTjuOkuzndY36pCU5cHRNXD4G3WhYFs30Fvv3JZJ511XULiTY5m2rzTC5/epcIfYwXDLSnUR1dGmd139l1uzf6pjD91hc9Xx+PunVbeRfZ+qbgWmapqlqG47QjxorYx40NoIxwzRlIVQWwEHvrBPKvALUc1/B16rmv/6BjSc9djUWBxX/fBu/gz6XtXwc1oyzqc59m08C68NtF/XkaZ82hPW32cvqCyGI9+oTLkz27HzxAbHqv6L/aYpr/G+T6VzgyOupu27p8BNyyEgrM3MalHa2oPWGJm7VJmi7DT79W1kn0xxdnBEoLUhroSJ2QwZ22H/56p1TUlm/XjfIDUNmbmLi75ys5xEU99TJ0Z/gzrom2vbRYFGJzJ3wd+vqH8sJ/i2Ydvf4ZtHaLDcTOwQ5Y3oNw3ihqmag7Z0xoD/hmho2n5hqupi0pGxKyGiUxnynvJfPr4BlrloI9UGCRoyxSkILYWjKx3UCav7WLVMfRbO/qyE2oH/qpZSmTvrx2pmdRAzm5WXLSTW/ddOGKPifzK2w7vT1bb25rLXNPjmUXW//0wYc7ec4FuD2mrI3Q9nU1U/2/StNuUwbOg5AZKvhb5Tz/+duPpPdFb2fep62r4kq+MLtBG/hoxU1f6p31RVfsNTiOrjIkwE1Ve0gyMetFZGPGjtBE1T8Q9fL254jCEBuo1S7Uy6jYa4IU1LNsjcDX+fYL/OU6YUzofxLKS+q2qp+QbCwp893+b2iKYpz9bZnXWCLBWy9jjHjbmiI5R+aE3OHYE1f4Cj3zpvay//y+bg/evqS/x42kWjqzAR/zCYtwK6jmw1M8SDJgiegE6npoa++R/nAP+ofqrllPGMWvavVJu8/SBuqBJrFuFm6GafRVlwXAVvO6KZIPegZ58IHONzek30bHs9Gce4xtJcezF2NtW5EwOok1LXkWoJ7wlfLGzedj2difICWP88/PwvFWrg5QM9LoVTP3bOQrwnfqh/rJmVIOp9pWe8f9si5oFRqm9zxnZ47xq4+f/q6kR2PESgCUJDNJT1OOLXqnl05i4ViJ3xszpYlOdDxg61WAiOVWLNyxsOflHfc85Vw/dVD8Dst1RygqdhqaRuKwaOrG5aZwShHlOtyihe92es339AhCoS6oi3XnllLYKs60glvmzbj2mmzlnZ/0KwiGJDdzj8NWx4oV4E95sOU/6s+vd2xri8/GM4HY9aM5OzKdhOx89bqcoXnfoRll2vYuZCYttnPG8jyBRnKyNTnO2QphywNU21j8r4WQm0M9tVa6cmVfV3EGtDblTxcEFRzWF983ByI7w3y3m9TKc5Y6pVxZELTipBUHBCLfnHofCU/TSNLV361wmxEeo2elDTKql3RkHhLq6yM0F9xlOfgd4T28YuT2H7P+Drh+3Xefr0bk0FfDzPvl9sC0/NShZnB0cEWieiulzFDe1dDqlL3X9+l/5wyV3K+9ZjnLq6d6SlG5/bvo6npuK3Bo6fs6lGJXtYhFfBiXoxVpTuXrstgJs+VoknQvOTdwz+MgonD9FVT8K4+9X/qzNTWwV/GV3XcaXuYrG9ZGUXnIQ3h9mva8HjksSgCUJHwS8QeqRAWHd1BW8nbryU+Co7p07s+Sec+3+eOwRfPVT/WB8KMcnKUxLZS8W/pb7XMo3PHbFO99p4ITxxOq05BGtttZquLq9r8bX/c/X9WU7wgVFQUdiwJwxUn9WIXs6LXxD8a7Kz0I0dfGG2Cq7RNBXHt2sZ7PkYl2VIuo4UcQaw459KnAXHwoIvoSS7/XhjjWec13na1OxFIAJNEFqaxmLZLGiaOunnH4e8w7DqITA79POsKob0zWpxRDOrgo4bXoTgGAiMrFsibO47LAFhDZ+gXAmdEb9WQer/N09Nv15oKn5Lef1sp7FsBaud4KpbLOKrLE9ts97PUxXkG8PSgsYnoF4sW0VYb3UbEudcc8xCc3VzEJwpPQd7P4ZdH8C5gw2Pk2QKRc4B+P4ZdX/S75WX3pWn3lOJ6O1cgqMDfbcyxdnKyBRnJ8adWKGGYr4sRPWDvCMXaZAOAsLrBVtQlBJ0xVlw7DusRSuH3axidLx9VX04a1NlHVy6WLXI8var6wvqW98D1HLfy7derDiKqJmvq5g7U1V9T9La6rrepC7W1VY5rK+7X3aubhrZ4XCmD1EJHW5/NF7KU+YbUDf148Av31Pv2zZg3x0kbuzCcZpurlW/113LVOKKZXrZx199R8Pnqc/6y4eka4ItdsVpURcOIxe0pUUXhmMJjuQb4Bf/bpGXkhi0Do4INKFJNFTVvDF0XjDnfXVbnm+zFDg8zj+/l6i50XkroWaqbN3Xtb6+V50QjVJCNCgKgrrUPY60ud9FbfMPU6Kys8feeRqOAr/3JNUGqDSnfkzXkTD8FnWi9jfUrxdRXI/xLLw2CLsLmvb8uzaehS3/C1v/V03VXvu26gLTzO9FBFoHRwSa0GQc+4fOeBVCYpSn6Oga5/psEx+DCY80bQrRVONauJ3dCbs/cB4fO0R5JnIPOG/zD1eeJFMNmGuUR6uh1kPnw1uvPB8+fnW3+rp151lvqoGd79m/rs4Lfv1flakXEN7wlOP5cPwexPvSNhgz4PXBri9aAiNh6E3K2xsz0Hm7UI/ZDJ/dDvtXOG9rz1nZNZXwcl8VCgItEpcrAq2DIwJNcIuGrvqNGSrO5ud37Zu9R/RW4y+0d2hjHiNwsc0LHtznLATNJjBV1y019VmP705zfv49WyAiUU2HXuiUIbSskBLvS9tQlgcn1qsiqodX18f/2XLFY3DpQ00rSdLZqamAlXfDgc+dt7VnDxq0ilewtc/fF3hJ2Ty8/fbbDBkyhNDQUEJDQ0lJSeGbb76xbtc0jSeeeIL4+HgCAgK44oor2L9/v90+qqqquP/++4mKiiIoKIjZs2eTkZFhN6awsJB58+ZhMBgwGAzMmzePoqIiuzHp6enMmjWLoKAgoqKieOCBB6iutg/STktLY8KECQQEBNC1a1eeeuopRN8KLYqhq7qidTzAGLrBFY/CogMw9/8g6WpAV9ebse43aekdeuRbJZia+nqz3lAHNrAPYnfcBsqLVeti2tLLW8Vv+RvUlGFoHHQf42Lfb0B0f+UJuxhxBkqMPZimvAAPpjWvl6uh70FoXmoq4fgPsPZxeOcyeKm38vbs+sC1ONN5q+lMEWfnpywP3putxJmXLwz/tev/eXvF9thnwZLR2U5pUw/aqlWr8Pb2pk8f1Yj2vffe46WXXmLXrl0MGjSIF154gWeeeYalS5fSr18/nn76aTZu3Mjhw4cJCQkB4J577mHVqlUsXbqUyMhIFi9eTEFBAampqXh7qx/f9OnTycjI4O9//zsAd955Jz179mTVqlUAmEwmhg0bRpcuXXjllVfIz89n/vz5XH/99bz11luAUs79+vVj4sSJ/P73v+fIkSMsWLCAP/3pTyxe3Ei/RgfEgya0GPtWwKe3ut4WEA6Jl0OvK9QSnti4IGrMY2Q8C+cOw3dPQPYeVa/tN9+pgPymIN6ozovj9LvZrAo6n/hBCbP0Lc6CPya57nc7URX6/eYRmW52B+NZlXT0w9PK8+4fBr/6EHpe2rH+i60QL+qRU5yLFi1ye8d/+MMfiIiIcPt5ERERvPTSS9x2223Ex8fz4IMP8rvf/Q5Q3rKYmBheeOEF7rrrLoxGI126dGHZsmXceOONAGRmZpKQkMDXX3/N1KlTOXjwIAMHDmTr1q2MGTMGgK1bt5KSksKhQ4dISkrim2++YebMmZw5c4b4+HgAli9fzoIFC8jNzSU0NJS3336bJUuWkJOTg16vGmI///zzvPXWW2RkZKBr4GRXVVVFVVV9g+Pi4mISEhJEoAnNT0OJBb5BUFNmvy6se71YS5xg37WgqWUwirPg71eoKdbeV8K430JUn/Z/oBdaBrtq/jqIH6EyZB09YyFxSoz1nqh+myEx9ts7kqhoaXa+r1rIWU7zARFw27fQpV/b2tVSfPM72PaOut8CAt4jC9W+/vrrpKSk4OfXNDfypk2bWLhwoVsCzWQy8cknn1BWVkZKSgonT54kOzubKVOmWMfo9XomTJjA5s2bueuuu0hNTaWmpsZuTHx8PMnJyWzevJmpU6eyZcsWDAaDVZwBjB07FoPBwObNm0lKSmLLli0kJydbxRnA1KlTqaqqIjU1lYkTJ7JlyxYmTJhgFWeWMUuWLOHUqVMkJia6fF/PPfccTz75ZJM/B0G4YBqqtzb0JtU39MR6tZzZruLBdr5fV4AVVSi11xUqEWDb35pW/DY0Dm78AP49FY6vU0tLF8wV2g+apgRYdhqc3gxb/2q7ETJT1V3fIOXN6T1RCbMuSY17d217MgoNk5GqaiPaUlmkiiV3VGKS1W38SLhxWbv/nTS5UO3KlSuJjo5u0ljL9GNTSEtLIyUlhcrKSoKDg1m5ciUDBw5k82ZVjDMmxv7qKSYmhtOnVV2i7Oxs/Pz8CA8PdxqTnZ1tHePK7ujoaLsxjq8THh6On5+f3ZiePXs6vY5lW0MCbcmSJXYeSIsHTRBahBG/Vt4sRw9DwiVqmfAIVJWqqSSLYMvZp06i2Wn2+9LM6uo7qAv0vAz0wc6vFxpv77HTzEog9r6y3R8cBTeorYLcg+o3ZP097XPujuHI1Odh9O0SQ9acVBTBptdU2QlHNHOHqbLvkvxj6jase4d4j00SaO+++y4Gg+H8A+v429/+5iR4GiIpKYndu3dTVFTEZ599xvz589mwYYN1u+PUoaZpDU4nNjTG1fjmGGOZHW7MHr1eb+d1E4QW53weBn0w9J2sFoDSXBWjsuejugK1NmgafPQrdT+8pypZETMQouuWkixcBuamvgsTf3/xgf9C2+Jquru8ALL3KgFmEfZ5h133H/X2UzGKEb3rMgcdMuwGzhZx1lzUVqmm5z++rLqSuKIDVdl3Yuf78NMb6v6Bz9Xjdu7Jb5JAmz9/vls7nTt3bpPH+vn5WZMERo0axY4dO3jjjTescWfZ2dnExcVZx+fm5lrFX2xsLNXV1RQWFtp50XJzcxk3bpx1TE6OTRHDOs6dO2e3n23bttltLywspKamxm6MxZtm+zrg7OUThHZFcDQM/gV0T3EdwxYQCRX5KkC78BQc/qp+m5ev631ufEn1Qpzxisr0bI2G7kLzoWkqlufbx+pjxmIGqRN/8VnXzwkIV1PlsUPqbgerjhfedb8RV2VQ5Pdw8ZjNkPYJfP80GNPVui794aon1MWXYweFjviZG8+q+EbrBYDWITz5F9WLs7S0FLPZ/mB+sYFzmqZRVVVFYmIisbGxrF27luHDhwNQXV3Nhg0beOGFFwAYOXIkvr6+rF27ljlz5gCQlZXFvn37ePHFFwFISUnBaDSyfft2LrnkEgC2bduG0Wi0iriUlBSeeeYZsrKyrGJwzZo16PV6Ro4caR3z2GOPUV1dbY3FW7NmDfHx8U5Tn4LQLmmsZ2hZnipSm3MAcvfX3R50Tj6w5fj38Obw+sc6L5j6LIy5WzxrLYE7PU7NJuX9NGZA0Rl1Yi86o5pPF51RMYq1FTZP0NTUpYXwRGcxFhrf+Pfa0PS74D6W77o4C7a8VR+eEBKnClYPnQvedaf3Pld1/M+84LjzhWUHaJrudpmNkydPsnDhQtavX09lZX06tGU60GRqYr0l4LHHHmP69OkkJCRQUlLC8uXLef7551m9ejWTJ0/mhRde4LnnnuPdd9+lb9++PPvss6xfv96pzMaXX37J0qVLiYiI4OGHHyY/P9+pzEZmZiZ/+9vfAFVmo0ePHk5lNmJiYnjppZcoKChgwYIFXHvttdYyG0ajkaSkJCZNmsRjjz3G0aNHWbBgAY8//riU2RA6Fk3NkjObVRB47kEV05a5C4ozlZdNa+Q4oPOB0FgwdFeJBiFx6uQeYrlfd+vTSGhASzVcb684tkC6+mWVAWm0EV3W23T1Pbmakjwf019USSf+cuxqM1KXqoso2+lifagq1jvmbvALbCPD2pDjP8Cya+3XtUDhXY/M4rTl5ptvBuDf//43MTEx540Ha4ycnBzmzZtHVlYWBoOBIUOGWMUZwCOPPEJFRQX33nsvhYWFjBkzhjVr1tglIbz22mv4+PgwZ84cKioquPLKK1m6dKlVnAF8+OGHPPDAA9Zsz9mzZ/OXv/zFut3b25uvvvqKe++9l/HjxxMQEMDcuXN5+eWXrWMMBgNr167lvvvuY9SoUYSHh7No0aILKkEiCB5NU7PkvLxUB4CIROh/df362irVyH3fCtj0qvPztFrluTFmOG+zJTASQuKdRVzuQdhuk2k683UY6V4YRqO0pPhzd9+aBtWlqneq41JRpG6NZ2HXezbPMcNXTTguefmoz9TQHcISwJBQf+ujh6UznGtK9Z8p4qytOHdE/e53/NNhgw5uW62moDsjtdWw9o/26zrIdK7bHrTg4GBSU1NJSkpqKZs6NOJBEzoN5234roPLFilBV5ypptyKM6EkG0xVDTynAXz8VaFcvyDwC1a3voH2j/0Cbe7XrXccc2Q1fP/nevE35WnVdFsz2y9mkxJPdutNDo+1unF1j4+sVtNRmqbee/IvVEmJyiLXAqyyCCqLG/dGNoa3XiV22IkvixjrpsSul3fDz5cepG1PRaG60Nn9Hzj7c8Pj2nMPzYvBeBbWPQl7P1Y13uZ9rnpxttB0rsd70EaPHs2ZM2dEoAmC0DiOMW1OaJD6Hoy6Fa76kxIToARMeQGU1Ik1W/GWs9/1iaq2Ui1l55rPfs2sguS/faz59lm/c9j3SdOHe/moCvD+hvoloO6xzkv1ZHXMkHxgpxJiF4rEjLUNploVv7n7Qzj8Tf3Fis5blbs5uQGn77qjZmY2hl3hY2DQNRA/tG1tambc9qAdP36cu+++m1tuuYXk5GR8fe2zuIYMGdKsBnY0xIMmdDqMZ1Vx3E9vxakkhy2JE5Qo6D8TfP0b3perhu0LvgH/EKguU1OC1WUulrr1NeWux1UUqqtvJ3TK06Tzqlts7+vUrd12yxhd/ePaKih2MaXbd4ryolnFV5i9CLMsvgGNB+CLt6v9Ypn2Npvh+Hew9/+g1KbyQPQgGDYXhsxRGdfyXbdKWydXeLwH7dy5cxw/fpxbb63v+afT6S4oSUAQhE6AoSsYroPqEvsTy9UvKS/QzmWqF+PJDWrxD4Ohv4Lh8yA22Tluy1WmaY+xF29nSx70G9r3zNeb54Qi3q72h6bBj6+qKXXHC5fASBg8B4bdpDJlbcW5fNfKY9wBszYdcduDNnDgQAYMGMAjjzziMkmgR48ezWpgR0M8aEKnpqEM0cLTakpn1wf2dbYM3VX2IZp9G6mW6sfYkt4J8XwIJTnqIuTEBtUarSTLYYAOZr8JQ34lBXxdUVMJ3y6Bn//tvK0DetDcFmhBQUHs2bPHWlxWcA8RaILQCGaTSpnf9T4c/EplfNqhg18uhaTpjZfhuBhashm3NPruXFQWw+mflCA7sR7OHTz/czprwP/5yD8OnyxQXSzQQd+pcGxtq17wePwU56RJk0SgCYLQMnh5Q9+r1HJwFXx8i8MADT6Zr7I2u4+FxMtV7FrcsPrCnBdLSzbjlkbfHQvH6ffaKsjYUS/IzqY6JMjoIG6I+s3GJMPndztPe3fGgP+GsHy++cdh7eMqRjQwEq7/uyrA28EveNw+os2aNYuHHnqItLQ0Bg8e7JQkMHv27GYzThCETkz8CDWtaRdrolMH6PK8+mbvAH4h0HN8nWC7XAVWe3nVP00K2wrNjV0WoU61Vyo85dCBASUeEidAryvUbzMwon6bqUraXzWEY5YmqHZ0N/yr/jPq4Bc8bk9xetke9Bx3JkkC50WmOAXBDVzFbQ2fpwrhntxYl1jwo6oZZktABPS8VJ0QK4pg/bP1tc0scWyC4A7V5apIck4apG+FPR+5HhfUpV6Q9ZoAYd0b328H9wJdEMYMeC0Z++QJHfx2D4S3XZy7x8egCReHCDRBcJPzncDMZnXSPLlRLac3qxIaDaHzUgUte4yrb+QtCBY0ra7m3j7V4zJnH2Tvc93v0ZHZf4Hht0iv2QvFbIbDX6vpzILjztvbOD7P42PQBEEQWpXzTWN4eUHcULWMux9MNaov6MkNcOCLuqBiGzQzvD8bvHwhqq+amooeoJYuA1TrqsYq7AvtG9vp7qAoOHdICTBbQVZR6Pq5gVGq9EtYT9j5Hk4FY3tPEnF2IZhNsH8l/PgK5B5wPaYTxuc1SaC9+eab3Hnnnfj7N1A80oF33nmHm2++2a5npiAIQqvg7QsJl6hl6FzX7aZ8A1XB2twDatlv+3w9dOmnxFp0f4geqERcWA8lBiWerX1hNkNZrmoUv/tD1WzcIqycYhzr0HlDVD8lxmKS62+DY+oFWLeREj92sZhqVGHeH1+p95j5hcCYO5UYXvOHTv35NmmK09vbm+zsbLp06dKknYaGhrJ792569epcarcpyBSnILQyDcWxGc9A7iFV+iC3bjl32DnI24JvoDppGNPrVuiUx27kAgiJVb08heajqUK4plLFLBnP2N8Wpavb4rNgqm74+fpQ5X21FWJd+jfczcLJRokfazKW7zS0G5z4Hja9Uf9/CgiHsffCJXeo+9bxnvP5emQMmpeXF8nJyfj4NG1GNC0tjcOHD4tAc4EINEFoA5p6oDeboOi0Em65B9T0V+4hyDvc+Eke1Ik+JLZuiVPelpC4+seWbb4BjdgonjnAPoNP5wWXPaxElKP4Mp5pWv9VnZdKHCnPc942f5VKJhFaFldZmQBB0TBuIYy6DfSePevmkQLtySefdHvHv/3tbwkLC7sQmzo0ItAEoR1iqoW0T1TdKke8/cFU2fR9+YfVCTYbAVd0BvZ9hrVjwhVLYOhNyivnG6iK8l5MbFNLir/z7dtsVvWrKo0NLEX2j0tz4ezP7tngGwiGBNUcPqzu1tC9/nFInNpvG/RvFHDd6gzgit/D+PsbvmjxMDxSoAnNhwg0QWinNNirc6/ynpXmqNY9JdkN39a6IeRs0XmBbxD4BSoxYhFufoEO64Odx5z9GVItAe06GP0b5THSTOq9mM029+tum7otcycc+RZrTFfsENXcvaKoXnBVFYNjr8kLIbKvSuQIqxNeVkHWXU2JNUXASruttuHkRnhvlvP6dtY1QQRaB0cEmiC0Yy7mBK9pyltU4iDkzqbCoS+dx3v5gNmx1VU7xsdfiTf/sLrbBhazCb5+GKcMyebydHlYXFOnoMGLm/blvZQyG4IgCJ7KiF9D7ysv7ASv0ylPT0C4yg61YDyraj85nrx+uxeCo1W2aXV53W1p3f0ym3VlNmMc1hszXE8XdhmgKtrrvOoXL2/1utb7OvXYq26ddVvd+NJcOLLaed+XPwLdx9gLMX1o04LuLfj4tVyGZAevPu+RGLqqAtGS9eoW4kFrZcSDJgiCEy019daSnouW9oqIp6vj0c6/U/GgCYIgdDYuxjPXGC3puWhpr4h4ujoe8p26xQV70Kqrqzl58iS9e/ducvkNQTxogiC0AS3puWjnXhFBaCqtff5uuPN5A5SXl3P77bcTGBjIoEGDSE9XReYeeOABnn/++WY3UBAEQbhIDF1VtlxLCKiW3LcgdGLcFmhLlixhz549rF+/3q7101VXXcXHH3/crMYJgiAIgiB0Rtyem/z888/5+OOPGTt2LDqbujMDBw7k+HEX3ecFQRAEQRAEt3Dbg3bu3Dmio6Od1peVldkJNkEQBEEQBOHCcFugjR49mq+++sr62CLK/vGPf5CSktJ8lgmCIAiCIHRS3J7ifO6555g2bRoHDhygtraWN954g/3797NlyxY2bNjQEjYKgiAIgiB0Ktz2oI0bN46ffvqJ8vJyevfuzZo1a4iJiWHLli2MHDmyJWwUBEEQBEHoVEgngVZG6qAJgiAIQvvD4+ugff3113z77bdO67/99lu++eabZjFKEARBEAShM+O2QHv00UcxmUxO6zVN49FHH20WowRBEARBEDozbgu0o0ePMnDgQKf1/fv359ixY81ilCAIgiAIQmfGbYFmMBg4ceKE0/pjx44RFBTULEYJgiAIgiB0ZtwWaLNnz+bBBx+06xpw7NgxFi9ezOzZs5vVOEEQBEEQhM6I2wLtpZdeIigoiP79+5OYmEhiYiIDBgwgMjKSl19+uSVsFARBEARB6FS4XajWYDCwefNm1q5dy549ewgICGDIkCFcfvnlLWGfIAiCIAhCp0PqoLUyUgdNEARBENofrX3+dtuDBrBu3TrWrVtHbm4uZrPZbtu///3vZjFMEARBEAShs+K2QHvyySd56qmnGDVqFHFxcdZm6YIgCIIgCELz4LZAe+edd1i6dCnz5s1rCXsEQRAEQRA6PW5ncVZXVzNu3LiWsEUQBEEQBEHgAgTab37zG/7zn/+0hC2CIAiCIAgCFzDFWVlZyd///ne+++47hgwZgq+vr932V199tdmMEwRBEARB6Iy4LdD27t3LsGHDANi3b5/dNkkYEARBEARBuHjcnuL84YcfGly+//57t/b13HPPMXr0aEJCQoiOjubaa6/l8OHDdmMWLFiATqezW8aOHWs3pqqqivvvv5+oqCiCgoKYPXs2GRkZdmMKCwuZN28eBoMBg8HAvHnzKCoqshuTnp7OrFmzCAoKIioqigceeIDq6mq7MWlpaUyYMIGAgAC6du3KU089hZSSEwRBEAShOXFboDUnGzZs4L777mPr1q2sXbuW2tpapkyZQllZmd24adOmkZWVZV2+/vpru+0PPvggK1euZPny5WzatInS0lJmzpyJyWSyjpk7dy67d+9m9erVrF69mt27d9tloppMJmbMmEFZWRmbNm1i+fLlfPbZZyxevNg6pri4mMmTJxMfH8+OHTt46623ePnll2VaVxAEQRCEZuWCOgns2LGDTz75hPT0dCcP04oVKy7YmHPnzhEdHc2GDRusraMWLFhAUVERn3/+ucvnGI1GunTpwrJly7jxxhsByMzMJCEhga+//pqpU6dy8OBBBg4cyNatWxkzZgwAW7duJSUlhUOHDpGUlMQ333zDzJkzOXPmDPHx8QAsX76cBQsWkJubS2hoKG+//TZLliwhJycHvV4PwPPPP89bb71FRkaGyyneqqoqqqqqrI+Li4tJSEiQTgKCIAiC0I5o7U4CbnvQli9fzvjx4zlw4AArV66kpqaGAwcO8P3332MwGC7KGKPRCEBERITd+vXr1xMdHU2/fv244447yM3NtW5LTU2lpqaGKVOmWNfFx8eTnJzM5s2bAdiyZQsGg8EqzgDGjh1r7StqGZOcnGwVZwBTp06lqqqK1NRU65gJEyZYxZllTGZmJqdOnXL5np577jnrtKrBYCAhIeFCPhpBEARBEDoRbgu0Z599ltdee40vv/wSPz8/3njjDQ4ePMicOXPo3r37BRuiaRqLFi3i0ksvJTk52bp++vTpfPjhh3z//fe88sor7Nixg0mTJlm9UtnZ2fj5+REeHm63v5iYGLKzs61joqOjnV4zOjrabkxMTIzd9vDwcPz8/BodY3lsGePIkiVLMBqN1uXMmTNN/kwEQRAEQeicuJ3Fefz4cWbMmAGAXq+nrKwMnU7HQw89xKRJk3jyyScvyJCFCxeyd+9eNm3aZLfeMm0JkJyczKhRo+jRowdfffUV119/fYP70zTNbsrR1fRjc4yxzBA3lMGq1+vtPG6CIAiCIAjnw20PWkREBCUlJQB07drVWmqjqKiI8vLyCzLi/vvv54svvuCHH36gW7dujY6Ni4ujR48eHD16FIDY2Fiqq6spLCy0G5ebm2v1bsXGxpKTk+O0r3PnztmNcfSCFRYWUlNT0+gYy3Sro2dNEARBEAThQnFboF122WWsXbsWgDlz5vDb3/6WO+64g5tuuokrr7zSrX1pmsbChQtZsWIF33//PYmJied9Tn5+PmfOnCEuLg6AkSNH4uvra7UJICsri3379llbUqWkpGA0Gtm+fbt1zLZt2zAajXZj9u3bR1ZWlnXMmjVr0Ov1jBw50jpm48aNdokRa9asIT4+np49e7r13gVBEARBEBpEc5P8/Hzt7NmzmqZpmslk0l544QVt1qxZ2kMPPaQVFBS4ta977rlHMxgM2vr167WsrCzrUl5ermmappWUlGiLFy/WNm/erJ08eVL74YcftJSUFK1r165acXGxdT9333231q1bN+27777Tdu7cqU2aNEkbOnSoVltbax0zbdo0bciQIdqWLVu0LVu2aIMHD9Zmzpxp3V5bW6slJydrV155pbZz507tu+++07p166YtXLjQOqaoqEiLiYnRbrrpJi0tLU1bsWKFFhoaqr388stNfs9Go1EDNKPR6NZnJQiCIAhC29Ha52+3BVqzvji4XN59911N0zStvLxcmzJlitalSxfN19dX6969uzZ//nwtPT3dbj8VFRXawoULtYiICC0gIECbOXOm05j8/Hzt5ptv1kJCQrSQkBDt5ptv1goLC+3GnD59WpsxY4YWEBCgRUREaAsXLtQqKyvtxuzdu1e77LLLNL1er8XGxmpPPPGEZjabm/yeRaAJgiAIQvujtc/fbtdB8/b2JisryykrMj8/n+joaLvisIIzrV1HRRAEQRCEi8fj66A1pOeqqqrw8/O7aIMEQRAEQRA6O00us/Hmm28CqpzEP//5T4KDg63bTCYTGzdupH///s1voSAIgiAIQiejyQLttddeA5QH7Z133sHb29u6zc/Pj549e/LOO+80v4WCIAiCIAidjCYLtJMnTwIwceJEVqxY4VS5XxAEQRAEQWge3I5B++GHH+zEmclkYvfu3U6FYgVBEARBEIQLw22B9uCDD/Kvf/0LUOLs8ssvZ8SIESQkJLB+/frmtk8QBEEQBKHT4bZA++STTxg6dCgAq1at4tSpUxw6dIgHH3yQ3//+981uoCAIgiAIQmfDbYGWn59PbGwsAF9//TW//OUv6devH7fffjtpaWnNbqAgCIIgCEJnw22BFhMTw4EDBzCZTKxevZqrrroKgPLycrvMTkEQBEEQBOHCaHIWp4Vbb72VOXPmEBcXh06nY/LkyYBqPi510ARBEARBEC4etwXaE088QXJyMmfOnOGXv/wler0eUC2gHn300WY3UBAEQRAEobPhdi9O4eKQXpyCIAiC0P5o7fN3kzxob775JnfeeSf+/v7Wlk8N8cADDzSLYYIgCIIgCJ2VJnnQEhMT+fnnn4mMjCQxMbHhnel0nDhxolkN7GiIB00QBEEQ2h8e6UGztHlyvC8IgiAIgiA0P26X2RAEQRAEQRBaliZ50BYtWtTkHb766qsXbIwgCIIgCILQRIG2a9cuu8epqamYTCaSkpIAOHLkCN7e3owcObL5LRQEQRAEQehkNEmg/fDDD9b7r776KiEhIbz33nuEh4cDUFhYyK233spll13WMlYKgiAIgiB0Ityug9a1a1fWrFnDoEGD7Nbv27ePKVOmkJmZ2awGdjQki1MQBEEQ2h+tff52O0mguLiYnJwcp/W5ubmUlJQ0i1GCIAiCIAidGbcF2nXXXcett97Kp59+SkZGBhkZGXz66afcfvvtXH/99S1hoyAIgiAIQqfC7V6c77zzDg8//DC33HILNTU1aic+Ptx+++289NJLzW6gIAiCIAhCZ+OCe3GWlZVx/PhxNE2jT58+BAUFNbdtHRKJQRMEQRCE9odHdhJwRVBQEEOGDGlOWwRBEARBEASkk4AgCIIgCILHIQJNEARBEATBwxCBJgiCIAiC4GGIQBMEQRAEQfAwmpQk8MUXXzR5h7Nnz75gYwRBEARBEIQmCrRrr722STvT6XSYTKaLsUcQBEEQBKHT0ySBZjabW9oOQRAEQRAEoQ6JQRMEQRAEQfAwLqhQbVlZGRs2bCA9PZ3q6mq7bQ888ECzGCYIgiAIgtBZcVug7dq1i6uvvpry8nLKysqIiIggLy+PwMBAoqOjRaAJgiAIgiBcJG5PcT700EPMmjWLgoICAgIC2Lp1K6dPn2bkyJG8/PLLLWGjIAiCIAhCp8JtgbZ7924WL16Mt7c33t7eVFVVkZCQwIsvvshjjz3WEjYKgiAIgiB0KtwWaL6+vuh0OgBiYmJIT08HwGAwWO8LgiAIgiAIF47bMWjDhw/n559/pl+/fkycOJHHH3+cvLw8li1bxuDBg1vCRkEQBEEQhE6F2x60Z599lri4OAD+/Oc/ExkZyT333ENubi5///vfm91AQRAEQRCEzoZO0zStrY3oTBQXF2MwGDAajYSGhra1OYIgCIIgNIHWPn9LoVpBEARBEAQPw22BlpOTw7x584iPj8fHx8eazWlZBEEQBEEQhIvDbYG2YMECdu7cyR//+Ec+/fRTVqxYYbe4w3PPPcfo0aMJCQkhOjqaa6+9lsOHD9uN0TSNJ554gvj4eAICArjiiivYv3+/3Ziqqiruv/9+oqKiCAoKYvbs2WRkZNiNKSwsZN68eRgMBgwGA/PmzaOoqMhuTHp6OrNmzSIoKIioqCgeeOABp04JaWlpTJgwgYCAALp27cpTTz2FzBILgiAIgtCcuJ3FuWnTJn788UeGDRt20S++YcMG7rvvPkaPHk1tbS2///3vmTJlCgcOHCAoKAiAF198kVdffZWlS5fSr18/nn76aSZPnszhw4cJCQkB4MEHH2TVqlUsX76cyMhIFi9ezMyZM0lNTbV69ebOnUtGRgarV68G4M4772TevHmsWrUKAJPJxIwZM+jSpQubNm0iPz+f+fPno2kab731FqDmnydPnszEiRPZsWMHR44cYcGCBQQFBbF48eKL/jwEQRAEQRAA0NxkwIAB2s6dO919WpPIzc3VAG3Dhg2apmma2WzWYmNjteeff946prKyUjMYDNo777yjaZqmFRUVab6+vtry5cutY86ePat5eXlpq1ev1jRN0w4cOKAB2tatW61jtmzZogHaoUOHNE3TtK+//lrz8vLSzp49ax3z0UcfaXq9XjMajZqmadpf//pXzWAwaJWVldYxzz33nBYfH6+ZzeYmvUej0agB1n0KgiAIguD5tPb52+0pztdff51HH32UU6dONa9SBIxGIwAREREAnDx5kuzsbKZMmWIdo9frmTBhAps3bwYgNTWVmpoauzHx8fEkJydbx2zZsgWDwcCYMWOsY8aOHYvBYLAbk5ycTHx8vHXM1KlTqaqqIjU11TpmwoQJ6PV6uzGZmZkNfh5VVVUUFxfbLYIgCIIgCI3h9hTnjTfeSHl5Ob179yYwMBBfX1+77QUFBRdkiKZpLFq0iEsvvZTk5GQAsrOzAdWxwJaYmBhOnz5tHePn50d4eLjTGMvzs7OziY6OdnrN6OhouzGOrxMeHo6fn5/dmJ49ezq9jmVbYmKi02s899xzPPnkk+f/AARBEARBEOpwW6C9/vrrLWAGLFy4kL1797Jp0yanbZbWUhY0TXNa54jjGFfjm2OMVpcg0JA9S5YsYdGiRdbHxcXFJCQkNGq7IAiCIAidG7cF2vz585vdiPvvv58vvviCjRs30q1bN+v62NhYQHmnLN0LAHJzc62eq9jYWKqrqyksLLTzouXm5jJu3DjrmJycHKfXPXfunN1+tm3bZre9sLCQmpoauzEWb5rt64Czl8+CXq+3mxIVBEEQBEE4HxdUqNZkMvHZZ5/x9NNP88wzz7By5UpMJpPb+9E0jYULF7JixQq+//57pynCxMREYmNjWbt2rXVddXU1GzZssIqvkSNH4uvrazcmKyuLffv2WcekpKRgNBrZvn27dcy2bdswGo12Y/bt20dWVpZ1zJo1a9Dr9YwcOdI6ZuPGjXalN9asWUN8fLzT1KcgCIIgCMIF425WwdGjR7W+fftqgYGB2vDhw7Vhw4ZpgYGBWlJSknbs2DG39nXPPfdoBoNBW79+vZaVlWVdysvLrWOef/55zWAwaCtWrNDS0tK0m266SYuLi9OKi4utY+6++26tW7du2nfffaft3LlTmzRpkjZ06FCttrbWOmbatGnakCFDtC1btmhbtmzRBg8erM2cOdO6vba2VktOTtauvPJKbefOndp3332ndevWTVu4cKF1TFFRkRYTE6PddNNNWlpamrZixQotNDRUe/nll5v8niWLUxAEQRDaH619/nZboE2fPl2bNm2alp+fb12Xl5enTZs2Tbv66qvde3Fwubz77rvWMWazWfvTn/6kxcbGanq9Xrv88su1tLQ0u/1UVFRoCxcu1CIiIrSAgABt5syZWnp6ut2Y/Px87eabb9ZCQkK0kJAQ7eabb9YKCwvtxpw+fVqbMWOGFhAQoEVERGgLFy60K6mhaZq2d+9e7bLLLtP0er0WGxurPfHEE00usaFpItAEQRAEoT3S2udvt5ulBwUFsXXrVgYPHmy3fs+ePYwfP57S0tJm8Ot1XKRZuiAIgiC0Pzy+Wbper6ekpMRpfWlpKX5+fs1ilCAIgiAIQmfGbYE2c+ZM7rzzTrZt24ampkjZunUrd999N7Nnz24JGwVBEARBEDoVbgu0N998k969e5OSkoK/vz/+/v6MHz+ePn368MYbb7SEjYIgCIIgCJ0Kt+ughYWF8d///pejR49y6NAhNE1j4MCB9OnTpyXsEwRBEARB6HS4LdAs9O3bl759+zanLYIgCIIgCAJNFGiLFi3iz3/+M0FBQXZti1zx6quvNothgiAIgiAInZUmCbRdu3ZRU1Njvd8Q5+uPKQiCIAiCIJwft+ugCReH1EETBEEQhPaHx9dBEwRBEARBEFqWJk1xXn/99U3e4YoVKy7YGEEQBEEQBKGJHjSDwWBdQkNDWbduHT///LN1e2pqKuvWrcNgMLSYoYIgCIIgCJ2FJnnQ3n33Xev93/3ud8yZM4d33nkHb29vAEwmE/fee6/EVAmCIAiCIDQDbicJdOnShU2bNpGUlGS3/vDhw4wbN478/PxmNbCjIUkCgiAIgtD+8PgkgdraWg4ePOi0/uDBg5jN5mYxShAEQRAEoTPjdieBW2+9ldtuu41jx44xduxYALZu3crzzz/Prbfe2uwGCoIgCIIgdDbcFmgvv/wysbGxvPbaa2RlZQEQFxfHI488wuLFi5vdQEEQBEEQhM7GRRWqLS4uBpBYKjeQGDRBEARBaH+09vn7gpulgwgzQRAEQRCElqBJAm3EiBGsW7eO8PBwhg8f3mjPzZ07dzabcYIgCIIgCJ2RJgm0a665Br1eD8C1117bkvYIgiAIgiB0etyKQTOZTGzatIkhQ4YQHh7eknZ1WCQGTRAEQRDaHx5dB83b25upU6dSVFTUQuYIgiAIgiAIbheqHTx4MCdOnGgJWwRBEARBEAQuQKA988wzPPzww3z55ZdkZWVRXFxstwiCIAiCIAgXh9t10Ly86jWdbTanpmnodDpMJlPzWdcBkRg0QRAEQWh/eHwdtB9++KEl7BAEQRAEQRDqcFugTZgwoSXsEARBEARBEOpwOwYN4Mcff+SWW25h3LhxnD17FoBly5axadOmZjVOEARBEAShM+K2QPvss8+YOnUqAQEB7Ny5k6qqKgBKSkp49tlnm91AQRAEQRCEzobbAu3pp5/mnXfe4R//+Ae+vr7W9ePGjZM2T4IgCIIgCM2A2wLt8OHDXH755U7rQ0NDpYCtIAiCIAhCM+C2QIuLi+PYsWNO6zdt2kSvXr2axShBEARBEITOjNsC7a677uK3v/0t27ZtQ6fTkZmZyYcffsjDDz/Mvffe2xI2CoIgCIIgdCrcLrPxyCOPYDQamThxIpWVlVx++eXo9XoefvhhFi5c2BI2CoIgCIIgdCrc7iRgoby8nAMHDmA2mxk4cCDBwcHNbVuHRDoJCIIgCEL7w+M7CVgIDAxk1KhRzWmLIAiCIAiCgBsC7bbbbmvSuH//+98XbIwgCIIgCILghkBbunQpPXr0YPjw4VzgrKggCIIgCILQBJos0O6++26WL1/OiRMnuO2227jllluIiIhoSdsEQRAEQRA6JU0us/HXv/6VrKwsfve737Fq1SoSEhKYM2cO3377rXjUBEEQBEEQmpELzuI8ffo0S5cu5f3336empoYDBw5IJmcTkCxOQRAEQWh/tPb52+1CtRZ0Oh06nQ5N0zCbzc1pkyAIgiAIQqfGLYFWVVXFRx99xOTJk0lKSiItLY2//OUvpKeni/dMEARBEAShmWiyQLv33nuJi4vjhRdeYObMmWRkZPDJJ59w9dVX4+V1YY64jRs3MmvWLOLj49HpdHz++ed22xcsWGD11FmWsWPH2o2pqqri/vvvJyoqiqCgIGbPnk1GRobdmMLCQubNm4fBYMBgMDBv3jynxu7p6enMmjWLoKAgoqKieOCBB6iurrYbk5aWxoQJEwgICKBr16489dRTEn8nCIIgCEKz0+QsznfeeYfu3buTmJjIhg0b2LBhg8txK1asaPKLl5WVMXToUG699VZuuOEGl2OmTZvGu+++a33s5+dnt/3BBx9k1apVLF++nMjISBYvXszMmTNJTU3F29sbgLlz55KRkcHq1asBuPPOO5k3bx6rVq0CwGQyMWPGDLp06cKmTZvIz89n/vz5aJrGW2+9Bai558mTJzNx4kR27NjBkSNHWLBgAUFBQSxevLjJ71kQBEEQBOF8NFmg/frXv0an0zXri0+fPp3p06c3Okav1xMbG+tym9Fo5F//+hfLli3jqquuAuCDDz4gISGB7777jqlTp3Lw4EFWr17N1q1bGTNmDAD/+Mc/SElJ4fDhwyQlJbFmzRoOHDjAmTNniI+PB+CVV15hwYIFPPPMM4SGhvLhhx9SWVnJ0qVL0ev1JCcnc+TIEV599VUWLVrU7J+NIAiCIAidF7cK1bYF69evJzo6mrCwMCZMmMAzzzxDdHQ0AKmpqdTU1DBlyhTr+Pj4eJKTk9m8eTNTp05ly5YtGAwGqzgDGDt2LAaDgc2bN5OUlMSWLVtITk62ijOAqVOnUlVVRWpqKhMnTmTLli1MmDABvV5vN2bJkiWcOnWKxMREl/ZXVVVRVVVlfVxcXNxsn40gCIIgCB2TC87ibA2mT5/Ohx9+yPfff88rr7zCjh07mDRpklXwZGdn4+fnR3h4uN3zYmJiyM7Oto6xCDpboqOj7cbExMTYbQ8PD8fPz6/RMZbHljGueO6556yxbwaDgYSEBHc+AkEQBEEQOiEX3Cy9Nbjxxhut95OTkxk1ahQ9evTgq6++4vrrr2/weZqm2U05upp+bI4xlgSBxqY3lyxZwqJFi6yPi4uLRaQJgiAIgtAoHu1BcyQuLo4ePXpw9OhRAGJjY6murqawsNBuXG5urtW7FRsbS05OjtO+zp07ZzfG0QtWWFhITU1No2Nyc3MBnDxrtuj1ekJDQ+0WQRAEQRCExmhXAi0/P58zZ84QFxcHwMiRI/H19WXt2rXWMVlZWezbt49x48YBkJKSgtFoZPv27dYx27Ztw2g02o3Zt28fWVlZ1jFr1qxBr9czcuRI65iNGzfald5Ys2YN8fHx9OzZs8XesyAIgiAInY82FWilpaXs3r2b3bt3A3Dy5El2795Neno6paWlPPzww2zZsoVTp06xfv16Zs2aRVRUFNdddx0ABoOB22+/ncWLF7Nu3Tp27drFLbfcwuDBg61ZnQMGDGDatGnccccdbN26la1bt3LHHXcwc+ZMkpKSAJgyZQoDBw5k3rx57Nq1i3Xr1vHwww9zxx13WD1ec+fORa/Xs2DBAvbt28fKlSt59tlnJYNTEARBEITmR2tDfvjhBw1wWubPn6+Vl5drU6ZM0bp06aL5+vpq3bt31+bPn6+lp6fb7aOiokJbuHChFhERoQUEBGgzZ850GpOfn6/dfPPNWkhIiBYSEqLdfPPNWmFhod2Y06dPazNmzNACAgK0iIgIbeHChVplZaXdmL1792qXXXaZptfrtdjYWO2JJ57QzGazW+/ZaDRqgGY0Gt16niAIgiAIbUdrn78vuFm6cGFIs3RBEARBaH+0m2bpgiAIgiAIQssgAk0QBEEQBMHDEIEmCIIgCILgYYhAEwRBEARB8DBEoAmCIAiCIHgYItAEQRAEQRA8DBFogiAIgiAIHoYINEEQBEEQBA9DBJogCIIgCIKHIQJNEARBEATBwxCBJgiCIAiC4GGIQBMEodnIMlaw+XgeWcYKj963J9vZkrZdzP49+TMThI6IT1sbIAhC42QZKziZV0ZiVBBxhoBm3R/QbPv+eEc6S1akYdbASwfPXT+YG0d3bxY7Nx4512z7bm47m3Pf53v+xf4WLtS+pjyvMds0TaPGpFFrNqtbk5las0aNycx/d2fyyprD1n0vuXoAc0YloPfxQu/jhU6nc/t9NtUuQfBkdJqmaW1tRGeiuLgYg8GA0WgkNDS0rc0RmokLOQlomkZFjYmyKhNlVbWUVtVSXq3ul1XXUlZVy6ajeXy5NwsN0AFXDYhhcDcDOkCnw3ry0ulAh67utv6xZZu61bE7vdC6P1t0wG2XJjJjSBy+Xl51+wZNw8aeejvLqkyUV1vu15JXWs2mY3lO77FnZCBBeh+7E63FPnW/zmCH9bnFVZzIK2v08xvfO5IAP2/re7Ocxi378Kq7U1n3GZdU1WKsqCazqNJpXz5earyXl70YqN+rzbq6VWZNQ9PUY2+dDrOmUVFjdhrfPzYEH28dZjNoqO9d00BD3Zo1DQ2orTWTXujsQeoZGYiPtxdF5dXklVZb14cH+hLo56P2V2ePWYNak4bJbFafp5cOs1m9jknTKK82Oe1/YFwogX7eVJvMVNea629rzVTVmqmqNVHp4n0F673x9/XGz9uLylozBWX1tgX4eeOt01FTJ8RM5gs/zfj5eOHv44Xe19sq2vQ+3uh9vfCvu7Wu8/HC3zLO14sjOaV8dyDH+v+5a0IvfjkqgaggPaEBPhct/oTORWufv0WgtTIi0DoOtSYz50qr+GBrOn/94Zj1JDBpQDSJkUFOosZefJkoq65F/n1CZ8XbS4cXUHMR4u1i8PXWERHkR2SQnshgP6KC9UQG+REZbHlsv83f19vu+eKZ63y09vlbpjiFTkdTDqwllTXkFFeSbawiu7iy7n6l3f280ioczy0asO5grlv26HQQ5OdDoJ83wXofAvXeBPn5UFpVy/7MYqfxk/pHE+rvQ3adHVnGSqpqnT0cguCphAX6EhvqjyHAl20nC+y2eeng47vG0qdLCJ/tzODZrw9irvNU3juhN5f166I8ezUmqmrNVNbd2nr7qmpNnMor49v9OU6vHeDrRUWNmmrNKa4ip7iqSTYH632IDPYjMsiPyhozB7LUf1MH3D2hF7df1ovIID/xygnNhnjQWhnxoLUty7en89hKFUujA2YNjadreAA5deIru7iSHGMlZS6mglzhpcNJpAHMGhpH3+gQgvQ+BOu9CfTzUeLLz5sgvU/dogSZv4+309Tavzed5KkvD7h8zWC9N6VVTbevS4ieWEMAYQE+bDyS5zS9aTv2vwvH0ysqmABfb6pqzZRU1lBSVUtpZS0llbWUVtVQUne/pLKW7w5mk3bWWUQ2N5ZPR7N5/PwNjcdP1ZjMlFXV8tH2dF789rCajgRiDf5kGZ2nOS8WvY8X0SF6Mgor7D5jLx08e91gfnWJs62OFwsf70jnsRVpmOrisSYmRaPT6dh31kh2cfPbHBXsR35pNVqdnU9fm8zcMT2cxim79mHSNLx1Op69PpkbR3dH0zTSC8qZ+PJ6u/+BTgd3Xd6LimoTOcVV5JZUWm9rTBd+ytHp4G+3jGBMYhSGQN9Gx2YZKxj//Pd2dnnrdGx6dCLhgX4UlFWTX1pNXlkV+aXV5JdWkV9WTV5p3WPr+mqqTU27AArx9yExKojEqCB6RgbRq4u67RkVhCGgcXsFz0emODs4ItBaD2N5DUdySzicXcLRnBL2njWyK72oyc8P0fsQY/AnNtSfmFB/Yg16m/tqfbXJzOUv/uDyJNCUaY+SyhqO5pZyJLuEIzmlHMkp4UBWsV08T0ME+nlb7Ykz+DvYqu5HBfvh412frG17otUB1MWZ2Z50XWEsr+FQdjGHsks4lF3C4br7rmKaWgsvHXx6dwrDu4fbeS2MFTUczCrmYFYxqacL+HJvtlv77RkZSIi/L142QXE66sW4xXPpDjrg/kl9GNMrkqTYEKKC9fzzxxM88/VBq3DsFxNMrVnjTEE51U0QMbGhegZ3CyMhPJA4gz+VtSZeXXPESYAPjAuloKya3JJKlxcTjvSLCSY53kBSbAhJsSH0jw0lJlRPdnElp/LK6RkV6PTbbkjAOaJpGkXlNeRYBFtxJbklVZw4V0p6QTnl1SaKymuaJOSiQ/T0iQ6mb3QwfWJC6NMlmL4xwXZerKba1RiaplFSVWsVcT8dy+e17464tQ+AyCA/etaJN1sR1zMqkEA/NZkl06aejQi0Do4INPc530GrvLqWozmlHM4p4Uh2CYdzSjiaU9pkj8PUgTEM7R5GbGidwKkTN0H6pkUA2J4EvHRw+6WJ3HZpop2tlTUmjuUqAWax80hOKWeLml5W4JYx3ZmaHGu1MUR/YUHOWcYKdp4uxKxpdI8IpLzabD3pVtUqOw9nK2F7qO7WHe/NQ1f1o8Zk5q/rj2E+j/jTNA1jRQ1ZxkqyjBVkFqnbrKJKTuaXkVlUQUFZ9UV5XVwxvnckQxPCyCyq4Is9mW5nNX60PZ3fr6zPapwxJI44QwCZRRUcyVHf7cXgpYP4sAC6RwSSEB5I98hAEiICCfD1wmzWGNzNQHxYoNPzGhMklpjJzCIlMLccz+ODbelNsscQ4EtSTIhVtCXFhtAvJsTOK5RlrOBUXjmBfl6UVZsuSmSYzRqHc0q4+s0fneI0o0P05JY0PC0ZHuhLn+hg+kSH0Dc6mIggP3y9dQzvHmb9zC5GCDXkmVu3eALVJjMnzpVxKr+Mk+fKOJlfxsm8Ms41Yi9AbKg/gX7e1sQYnQ7+fE0yt4x19mYKbYcItA6OCDT3cEzvv39SXxKjgupOgkrsnCloWOTEG/zpFxtCUkwIXUL0Vo+FBXe8XY2RZazg3Z9O8o+NJ+uTBfpH4+Ot40hOKafzyxr0XsSE6ukXo2zsFxNCRLAfd77/8wV75c6H7Weq08HkATH4+nhxOLuEk3llDWbcdQ0LYECc5QQdSmSQH/P+ta1BOy0nbFcel6ZgOYn2jAwky1jJL97e0uD0rDs42ph6uhA0GNkzvMl2Zhkr+PlUAV46HSN62D/vcHYx095wFhZNZWg3AxP7RzO4q4H+caHEG/zR6XRNFhVN/dxdCQ3LdOy5kioO5ZSc9zdh/X/FhtA/NoRTeeW89f3RZith0pDgLKms4fi5Mo7mlHAst5RjuaUczS3lTGF5g597sN6H3tHB+Hjp2Hm60DqteyE2uuuZK62q5VSeEmuWW4t4KyqvafB5A+NCGdsrkuHdwxjRI9z6WxDaBhFoHRwRaE1nz5lCrv3fzU06KUcF60mKDaZvdP3Vfd+YYEL97eM+mmPKw5Yak5m9GUbWHsjmnQ0nGh0bHuirhFidfWoJJizQz2lsc9upaRpHckr5Ji2L19cdbXSsIcDXesK13PaLCSHE3zmGprntBOXpeWXtYd5Zf+K83723lw4fL51TmZHGYgjjw/xJ6RVFZY2Jr/dloV1kTbDbL00kIkhP2tki0s4aG7xgSIwKYnBXA727BFNVa+Lt9ceb9NsO8fchMsiPU/nlQPPWbmvK91dVa+J4bhmHc4qtHtUj2SVkNmGa10sH3/z2MpJiL/xY547Qr6wxcfxcab1oyynlaG4Jp/PLqW1kfvfWcT2ZNCCaEd3Dm+w5v9gLEAuFZdV8sTeTP/13/3nHRofolVjrHs7w7uEM6WZwyi4VWg4RaB0cEWgNk1tSyZbj+Ww9kc+W4/nWE5IjSTHBjOoZQVJsCH2jlciJDNY3+XUu5sBaazKTdtbI1hMFbDmRz8+nChqNw/r12B5MTY6lb0wwXYL1bl39XuwJID2/nJ+O57H5eD5bjufZ1dByZO4lCUwZFGuNN2pNOzVN41R+OZuOnuPHo3n8dCzPpcCKCvajT3Qw0SH+jOwZzvjekfSMDLKLsbNQVF6t4uWylKjYm2HkWG5po8HeOuB/5w7nqoGx+Pm4brKyN6OIa/7y03mFVc/IQHp3CSbWoGdsr0gmJEWf52IBfjd9AH1jgjmUVcKh7GIOZyvvUEPC4hcjujJ5UCxje0VeVAD6hX5/xooajuSoafAj2SXsOFnAoZwSl2MHxYcyrnck43pHMToxguAmiqDmorrWzOn8Mr7cm8UbjVygeHvpSO5qYExiBKN7RjC6Z7jLC6jmpiFv5uMzB3Iyr4yd6UUczCp2+i34eOkYEBfKiO5hDO8ezoju4SREBLjlcRWajgi0Do4ItHryS6vqhE4eW47nc/ycfWFSHTidCL11sOnRSS1ywHF1QDOZNQ5kFltt3HGqkNKqWrvnhQf6MrRbGBuOnLOztzmnJc9nJ9QL3J+OKVGW4VD0NMDXmyHdDGw/WdAqdjZGUXk1m4/n82OdKHO01RUf3TGWlN6RF/yaZrPKODyUXcLaA9l8tvOsy3EBvt5ckhjB+D5KUFSbzKw/lMv3h3PZ10DG6theEVyRFM2QrgYGdTU0WTCdTxxV15pZsTODR1ekNbgPLx0M6RbG+D6RjO8TxYju4W3iVXElMlzh7aVjSDeDVbCN7NF69rqyUaeDqQNjSTtrdBkT2j82hEvqBNuYxAiiQ/2t+2pOAXQ+b2ZFtYm0s0Z2pReyK72InemFLmPxIoP8iA7Vcyir5KKmcQVnRKB1cDqbQLM9iAX4erP1RIHVQ3bY4Wpbp4MBsaGk9I5kXO9IRidG8E1aVrNPobnCMS7r6uQ4qmpNbDtZQEmlvSAL9fdhTK9IUnpFktI7kqSYELy8dC0y3deYnV46uHlMD7y9dPx0LI+jufaB6T5eKjB6XO8oxvWOZFj3MPQ+3q1ip+PJq7rWzM70QjYdzePHo+fYe9ZoFyvk661jZI9wLuvbhQFxIfzmvZaLwbPY53SiRk3vFlU0HBPkCi/gzbnDGdmj6TFs7tCQd+XaYV3ZfabIqeOCv68Xo3tGML5PFJf2iWJgXKi1jEtLe1Vc/bYm9o9my3H1n998PJ/0AnvPuJ+3FyN61P9Oh3QLw8/Hq8Vsbez3n1FYzo5TBWw/Wcj2k84XjaC8o1HBelIvMo7NFe54MzVNI9NYyc7T9YJtf6bRZUKNDvjbvJFcNSDGqaSP0HREoHVwOpNAW749nSUr0xoNlk6KCSGldyRje0UytleEy+mE5or1aIj0gjImvLS+QTtD9D5ckhhhtXNAXCjeDRzkWtLW83kodDoVVDy+jzrRje4Z0WA8TUvaaSd2gaTYEGsJBVv6RgdzWd8uXNY3iksS7W1taRGZZazg35tO8q9NJ61id3pyHHmlVU6FUx0JD/SlqLzGmgwCtLinorHPI7Oogp+Oqanhn47nO2UMhgX6Mq53JHofL/672/2MVXc5328ro7DcKth+Op7nVCg2wNebbhEBHMspbbHPtam//7zSKnacLGD7qQK2nyzgQFaxy+OETgdf3n8pg+INzWbjhVBZY2L5jjM88YXreLaYUD1TB8UybVAslyRGuAwPEBpGBFoHpzMItCxjBe9tPuUyaL5HRACX9etCSq8oxvaKcCt2rLnZn2nks9SzfJp6hmIHLxmouKxfXdKdQfGGBgVZa1BaVcvXe7P456YTLss3XDUgmhtGdGNsr0jCg1o+XqYxDmQamfHmJpcxWpFBflzaV3l1LuvbhViDf6P7aikRaSsgQQXhO3pJe3UJ4sr+0VzWtwu+3l5sO5nP5mP57EwvbDTYvCWni5vyeWiaxtHcUjYdzWPz8Ty2nihwmpK34KWDn1ooXKCpaJrGybyyujjJfLacyHdZA1Cng+8emkDv6OA2sLIeY0UNH249zYvfHnba5qWDS/t24Zqh8UwZFOMyqaY1aMg7HOjnbRfbGR7oy+SBMUxPjmNcn0j0PpJscD5EoHVwOqpAq6g2seZANp+mZrDpWF6D3qiLjSO6WHJLKvnvrkw+25nBoWzXAc3QNnFZtmiaxvaTBXySmsHXaVkNJiK0tZ2gbN1yPJ//bE/nm31ZuIrDf+76ZG4c1b3Np1e2n8znxr9tdRKQvl46xvaOZFL/aCb1j6ZHZJDL55dV1bL9VAGbj+Xx7f4cp+k6UHXg7p3YG18P8E6oLOMiPtp+hk9TM5y2j0kM596Jfbm0T1SbXoRYMJs1Pkk9w+8+c4650/t4MWtoPL8Y2Y1Leka02W+pKbF2eh8vrhoQw+xh8VyR1KXVxY8rj+u1w7uy+Vg+q/dls+ZANoU25T2C9T5M6h/N9ORYJiR1wVhRIwkGLhCB1sHpSAJN0zR+Pl3IZ6kZfLk3y+5KfVhCGHvOFLVJMLpj7EpljYm1B3L4bGcGG4+csx5Y/by9mDwwhutHdCWnuJI/fr6/xWPdmmL7Z6kZfJKawWmbLNZeUUH8YlQ3fL28eP6bQ21uJ6jpn89SM/hoe3qDGbfQ9iJS0zQ2Hctj6U+nWHfIdZ/UdxeMZmL/aLf229iJOirYjxtGdOOXoxLo08ZeHzi/qOgaFsAvRyl7u4a17Qm5KQIoISKAG0Z044YR3UiIcC7Y29K4EkBjEiP5Yk8mn+8+ywmb2LUQfx+uTo7jmmHxjOkVibdX62RYNuZxrTWZ2X6qgNX7svl2f7bdNLOPt47aujg2STCwRwRaB6c9CzTLQcXfx4tNx/L5bKe9iEiICOD64eqg2T0ysFWC0R1xDPYf3TOcg1kldlNYI7qHccPIbswcHG/Xz6+lY90csXye8YYA9mUa+b+fM/jx6Dmr9zHIz5uZQ+L55ahujOxR386orexMjAoiJsSfLSeUt2zN/mxrQHKw3odrhsVz0yXd2Z9pbPXv3RUV1SZW7Mpg6U+nnBIobLkYAenYReKyvlHszywhr7T+hDeqRzhzRicwc0ictaVPW+D4f7x/Uh+KKmpYuessxrrECJ0OLuvbhV+NTuCqATHWciOtXbLB0dZnrkumT3Qwn7q4GEzpFckvRnZj+uDYVvX8NPQ/1DSN/ZnFfLEnky92Z9p14YgOUUWpfzqe53b9vZbCbNbYdaaIb/dns2pvJllF9vXtdDrY8D9X0D3CtVe5MyECrYPTXgXaR9tVE2fHH0ugnzczBsdxQwPTDq0pJhq78u4aFsD1I7py3fCu9OrS9h4NxzgoWy5JjGDOqASmJ8c2uWhmS+EY8B8R5Ee+TYzQ0IQw5l6SwMwh8Xa2tvb3bntSPltUwftbTrF8+xmr8Ajy8+YXI7sxf1xPdpwqaFYB6fhea0xmfjiUy8c7zvDD4Vzrdxys92HW0DjmjEogJlTPqfzyVp9CcvW9VNaY+HZ/Nh/vOMPm4/nWsZFBflw/oiuh/j689l3zdQe4GFtBCe/V+7P4NDWDzcfzrRc0ft46aw9TTxA+oMTP9lMF/Hd3Jl+nZVl/j7a0tYfZls3H8pj7z21O66OC/Xhocj9+MbJbp45VE4HWwWmPAu3LPZks/GiX0/rHZw7gV5d0b1OvgAVN03hz3TGXTYz/MGMAt41PbPP4JwtHc0qY8tpGJ7G7IKUnC8b3pGeUZ1ypNiR4g/y8uX5EN351SUKbZ605ekyT40M5kFVibU2UEBHA/JSezBmdYFcotrUEZE5xJZ+mZvB/P5+x8zZb8BQhYeF0fhn/9/MZPvk5o8F+l54kKDIKy1m58yzLd6Rz1sHz4wlJELZU15r5+8bjvLzG+Rj10i+G8MtRCW1glT3nm16OCdVz1+W9uemS7gT4dT6hJgKtg9OeBNqZgnKe/fog3+zLdrm9rQP+Lew7a+Tprw6w9YRzeQRPOpmYzRordp3lqVUHKK50vpL2lM8TVIHeJ1ft5/0tp522Lb11NFckuRev1RI0djIZ1zuSW8cnMql/tEcEv2uaxraTBSz96RSr99v/nzxNSICKUdpw5Bx/XX9c9Sp1wJN+q9Cw52fqoBhevGGoXShDW9LQb1YH3DCyGw9N7tfmMYCO08tPzB5ErdnM3zacsE7XRgb5cftlicwb24MQf99O07Wgtc/fbe/6EDyOsqpa/rr+GP/48STVteYGKvrr6BnV+sG5tuQWV/LymsN8kpqBpqnMqfG9o1h/RE0rWaavPOGAsTejiD99sZ9d6UUut3vC52lh31kjj61MY2+G0Wmbt05HUmxIG1jlzMGsYpfi7IUbPMcjZUGn0zG2VyRmTXMSaGYNHvl0L6/dOIyoNiw7Y4uPtxdXDohhYHyoS0Gx7UQ+o3uGe0wdrcQuQXjpcLLz2/05bD/5A4unJHHTJd3bXKzHGQJ47vrBdnGLA+NC2ZdZzKepGXyxJ5P5KT2494o+bVYy58bR3bm8XxcnD/PcMd35LPUsf11/jIzCCl5cfZh31h9ndGIEPxzKbfUp8M6AeNBaGU/0oFmufnpEBLL1RAEvrD5knd4Y1zuSx2cNZM+ZojYP/LYNqv9ybyZ/XX/cWn5i1tB4fjctiW7hga0eRN+QnYlRQfh6e/HS6sP8X+oZNE1ND95/ZV9C9D48/t+2zxq1payqlte/O8K/fzqFyawR4u/Dlf2jWbUnE5ON4G1rOwFSTxfwwEe7nKa1PMlj6orGvH6h/j78z7T+zPUAIWGLrUfFloFxoTxzXTLDu4e3kWX2OHp+bh3fk41Hz1lrB/aPDeGJ2YMY26vtPX+Ox6hd6YW8sPqQdRYgRO/D3Vf0ZnpyLNnFlR7lmaoxmflidyb/u/6YXbaqBU//D14MMsXZwfE0gdZQsHr3iEB+P2MAUwbGtFn2YFPsHJYQxh9nDmRkD885SdgG1fv5eFFVqwqDXT+8K7+b3p8Ym15+bSkkLTaczCvjbGEFr3931NqLcOaQOB6fOZDoUH+PsNNCda2ZN9Yd4e31xzFrYAhQRWbNHiYgG8NRSNw9oRfrj5xjf6bq8zmkm4Gnr01mSLcwj5k6svwGukcEsOFIHi+sPoSxogadDuZe0p1HpvanvKa2zW11/K3Wmsx8sPU0r649Yi1GPWNwHLdf2pPKWnObf662aJrGhiPneGH1YQ5m2fd89UTPlMms8ca6I7y57pjTNk+bAm8uRKB1cDxJoDV0NX/PFb158Kq+HpOt05CdT84eyLyxPT0m+L8hO5Nig3nm2sGM6hnRNoY1gCvR2zUsgKevS2aiB8SYWbCIFE2DZ78+aBUy1w/vyp9mD6K8utZjBGRTcRQSJrPGB1tP8/K3hympqkWngzGJEWw/WeCRU0d5pVU89/UhPtupit8G670pqzJ5bHPugrJqXllzmI+2pzv1NPU0W81mjfe3nOKJVQfs1ntirGJDx7wv77+U5K5tm0DUErT2+dszAgiENuFYbqnLqZbL+7Z+5evGOJxd4tLOfjGhHiPOAE7mlbm08/GZgzxOnGUZK3jUQZzpgGW3X+JR4uzjHemMf/575v5jGzf/cxv7M4sJC/TlrzeP4NUbh2EI8CXOEEBK70iPOnGdD0ebvb10zB/Xk3UPT+DaYfFoGmw9UWD9fswaPLZiH1nGija0up6oYD2vzBnKx3eOpWdkIKV14gw8z1ZQ5WGeuW4wSxdcYrferMGSFWkeZauXl45+LuI8zRocb6SeX1tgianz1tkfh+94/2f2nXWOYRXcQwRaJ8Vk1nh/s3OGnicFqwNU1Zp4Z/1xp/WeZieoJAVHvHU6enXxjLIZtvx01LkdlwZOjavbkixjhctp7WW3XcLVg+PaxqgWJjrEn9d/NZzfz+jvtM2kaZzKa7hjQ1swplckT12T7LTeE20F8PFxvqAza3AqzzmWqi1JjFJJD468s+E4lTWu2761FTeO7s6mRyfy0R1j+fjOsfSKCiLLWMkv3tnMV3uzyDJWsPl4nkeJ4PaCCLROiKZp/OHzNNYezMFLh/VA4ElZj6Dije77cCdbTxbg663zWDsBzpVUsfj/9tit80Q7AYrKq3ndRb04TxO9DXkkS6s86wTVEswcEu90gvbS4VHfj4W+McFOturwTFsbEj5fp7kuJdRWOHqmvHTg46Vj07F8fvPez5RX155nD62LxSM8plckK+8bz+X9ulBZY+a+/+xk3HPKAz7++e/5eEd6W5varpAyG50MTdN47ptDfLT9DF46ePOm4YzsEe5RMTxZxgqO5Zbyzx9PsOFIHnofL95dMJrELkEeZaeF4soa5v97O6fyy+kWHsBfbx5BWZXJ4+wEVd9q4X92kVFUSViAL8WVNR5XksTCGReFXT1NRLYUlhO0rQcxJtTfrtiup+BYOgKUN3btgRx+ndKzTW1zxNFWnQ40DZZtPU1CRAB3Xt67rU204lju4mReGb9572c2Hctj/r+38+x1gzlXWuVRiQ4AhgBf3l0wmj+sTOOjHWecpr4v79fFo+z1ZCRJoJVpyySBLGMFr645wiepKrDXE+tFOQaue+t0/PvW0Uzo16VtDWuAU3ll3L0slUM5JUQF+/Hp3eM8phOALZZA+5U7z/JJagaBft58ds84wgJ9PVL05pVWMfW1jeSXVVvr8LWXLM3mJMtYwY5TBfzpv/spLK/hqgEx/G3eSI8qw2HBkvjw41FV4NbbS8fSW0dzWV/P++/aJmn8d3cmz39zCIDHru5PcleDx4keC6mnC1jw7g673sKemOgAsPl4HnP/4Vw8uD1neEqhWqFF+HhHOo9+Vt9Lc+aQOI/7Q7uKOdLQ6BfT9r0zXfGfbad5bOU+6+O5Y7p7pDhzla356pxhDIhTBxhPOxFpmsaSFWnkl1XTPzaEv80bSWZRpceJyNYgzhDA7KFd6RYeyK/+vpXvDubw+H/3MWNInMeJiDhDAHGGAMb2iiCnuIrPdmZw9wepPDl7EOP7RHmkrQB3T+hNQVk1f994gme/VkLNU0XPyB4RvHXTcBa8u8O6zlM9U5bpZNvjjreHTtN7KhKD1gmwCB9bV+k3adkeF7TpKuZIBfB6XrBxlrGC39uIM4D//f64x32mrkSvDhia4Jkp8FnGCp77+hBrD+Tg663j1TnD6BEZ1O6yNJubEd3DeekXQwD4cFu6R8f06Oo8nT0iAimrMvHwJ3s91lYLC8b1sHvsiZmoFvxcJCN5YlKGZTrZ1tl76/jETv0/dpc2FWgbN25k1qxZxMfHo9Pp+Pzzz+22a5rGE088QXx8PAEBAVxxxRXs37/fbkxVVRX3338/UVFRBAUFMXv2bDIyMuzGFBYWMm/ePAwGAwaDgXnz5lFUVGQ3Jj09nVmzZhEUFERUVBQPPPAA1dXVdmPS0tKYMGECAQEBdO3alaeeeor2MEPsSvh44h86MSoIh2xtj405OplX5tT+yhM/U1ffvYZnil5LSY2//3gCgKvqWg0JiksSI7D9e3iyiCgoq+ZMYf1vzJNtBTjlIt7RE//P4DrRwVOPkzeO7s5Pj05i6qAYAA7nlLSxRe2LNhVoZWVlDB06lL/85S8ut7/44ou8+uqr/OUvf2HHjh3ExsYyefJkSkrqv+QHH3yQlStXsnz5cjZt2kRpaSkzZ87EZKrP9Jo7dy67d+9m9erVrF69mt27dzNv3jzrdpPJxIwZMygrK2PTpk0sX76czz77jMWLF1vHFBcXM3nyZOLj49mxYwdvvfUWL7/8Mq+++moLfDLNS2JUEI4RK574h44zBNjFmnli4LqFRBdTmZ74mbaXg7krT9+3+z3Py9uWtJeLAmg/F4UW2sv/BOo9UxZzdeCxx0lQ9v5hxkC8dPDj0Tw+2pYu/+sm0qYxaNOnT2f69Okut2maxuuvv87vf/97rr/+egDee+89YmJi+M9//sNdd92F0WjkX//6F8uWLeOqq64C4IMPPiAhIYHvvvuOqVOncvDgQVavXs3WrVsZM2YMAP/4xz9ISUnh8OHDJCUlsWbNGg4cOMCZM2eIj48H4JVXXmHBggU888wzhIaG8uGHH1JZWcnSpUvR6/UkJydz5MgRXn31VRYtWmRth+SJxBkCGNzNYG1+7cnC51xdD9BbxnTnvkl9PNJGUPWq/Lx1VJvUWchTP1PLwfx3n6UBKrbGE+1sbHrb02xtK1zH9HimiGhPtkL9/8QSp+vpoufG0d0J9PPm/o92E+LvQ9cw1YPYU+1NiAgkuas6By1ZmeaxMX6ehsfGoJ08eZLs7GymTJliXafX65kwYQKbN28GIDU1lZqaGrsx8fHxJCcnW8ds2bIFg8FgFWcAY8eOxWAw2I1JTk62ijOAqVOnUlVVRWpqqnXMhAkT0Ov1dmMyMzM5depUg++jqqqK4uJiu6UtsDQ/v39iHzY9OtEj/xjvbz5lbePzn+3pbDxyro0taphtJ/KpNmnofXR8+JsxHvuZAvxiZILVO/D5feM90s725MFoKywiwoKnim1wHX/kqbZauHF0d16eMxSAmFA9l3to5riFaclx6H28KK6s5ZZ/eW5MIigPeZpNZwFPn/L2FDxWoGVnq8KBMTExdutjYmKs27Kzs/Hz8yM8PLzRMdHRzq1roqOj7cY4vk54eDh+fn6NjrE8toxxxXPPPWeNfTMYDCQkJDT+xluAf/54gmxjJQD/u/6YRwqfLGMFf1pVH1/oyX/gj3ekc/M/Vfp4Va1GRqFne3nySqus/Rwjgvza2hyXtLdpm7bixtHdGZYQBsCvU3p6tIi4cXR33rllJADhAb4ebauF/FIVd5xdXOXRggfU/7qq1mx97MnHTEsvXVs8ecrbU/BYgWbBcepQ07TzTic6jnE1vjnGWBIEGrNnyZIlGI1G63LmzJlGbW9usowVPPP1QetjT/0Tt5c/sKuMWE/8PG1ZtkW19DJrcPmLP3jsSefG0d1ZMK4nAJf1jWoXJ/S2wFz3R1m6+ZTHi4hjdb0jCytqPN7WLGMFz3/j+cdKCyddtKfyxGMmiIf8QvFYgRYbGws4e6dyc3OtnqvY2Fiqq6spLCxsdExOTo7T/s+dO2c3xvF1CgsLqampaXRMbm4u4Ozls0Wv1xMaGmq3tCbtRfi0lz9wewt+zjJW8L/rj1kfe/pJJ6NQ2bXxaJ7Hn9DbgixjhTWWFDz7+8wyVvDymsPWx55sK7S//3ZDvX897ZgJzq2rPDVm19PwWIGWmJhIbGwsa9euta6rrq5mw4YNjBs3DoCRI0fi6+trNyYrK4t9+/ZZx6SkpGA0Gtm+fbt1zLZt2zAajXZj9u3bR1ZWlnXMmjVr0Ov1jBw50jpm48aNdqU31qxZQ3x8PD179mz+D6CZaC/Cp71Mcbn6PHUeXHyxvQh0UCf07w7WX0x5+gm9Ldh8LM9pnad+n+1N8LSXzGwLjv1DPV302DZV9+SYXU+iTQVaaWkpu3fvZvfu3YBKDNi9ezfp6enodDoefPBBnn32WVauXMm+fftYsGABgYGBzJ07FwCDwcDtt9/O4sWLWbduHbt27eKWW25h8ODB1qzOAQMGMG3aNO644w62bt3K1q1bueOOO5g5cyZJSUkATJkyhYEDBzJv3jx27drFunXrePjhh7njjjusHq+5c+ei1+tZsGAB+/btY+XKlTz77LPtIoPTMVj3N5d5ZrHAG0d3571bL7E+TukV1YbWuMbxShAgRO9DeKBnxna5EpSe2nS7PZWRaAtMZo33Np92Wu+pIsJYXuO0zlNtBTieaz9l6MmC50hOCR9uU7+FV+cMbTeix9JU3RM/U0+kTQXazz//zPDhwxk+fDgAixYtYvjw4Tz++OMAPPLIIzz44IPce++9jBo1irNnz7JmzRpCQkKs+3jttde49tprmTNnDuPHjycwMJBVq1bh7e1tHfPhhx8yePBgpkyZwpQpUxgyZAjLli2zbvf29uarr77C39+f8ePHM2fOHK699lpefvll6xiDwcDatWvJyMhg1KhR3HvvvSxatIhFixa19Md00ViKBV45QCVLbDtZwOZjeR7pmbg8qQsT+nVBA576cr9H2mi5Enz/ttHEhvpTXFnLX384xubjnveZuhLoI7qHe+QBsj2JybZg6eZT7D1rxM9bZ/2cPFVElFfX8vxq1TbJ8pV6qq0AGYXlLFmxF4Bfjuzm0YLn4x3pTH1tI5U1KkGgutYsoqeDIs3SW5m2bpZ+6Qs/YKqbd/DUWjTPfn2Qv29U1eQ91UYLH+9It9YYA8+1N8tYwbf7snli1QEA3r55BIZAX4/r5+jYNzQmVM/6hycS4Ofd+BM7MFnGCrYcz2fJir1U1Wo8c10yk/pHe2STe1D2PvnFflbvzyHO4M97t11Cfmm1R9oKzn2K/zRrILeOT2xTmxoiy1jB+Oe/d6ovt+nRiR752XY0pFm60KKYbf7ZnthkN8tYwT/rWv2AsnHJijSPstGWcb0j7R574mcKypO2YHwih3NK+Gj7Ge75cCfgeYLyxtHdubxfF3afKeKxFfvIKa7id5/t4VeXdPc4MdkaOArWPtHBzL2kOzqdziM/i493pPPoijRr3OP0wXH0iwmBhvOo2hRXWdlPf3mQacmxHvn57jhZ0GBcnyfaK1wcHpskIDQ/7SHGp6GK8l/tyXL9hDbmTKHzlKanfaa2WMpYWPDEQPw4QwDTk+P4y1wV+vDFniyPbg7eUrhqf3XiXCnZxZVtZ1QjWMWOjb3v/XTKo35bjqxIzWg3iQxbjufz+H/3O6335Lg+4eIQgdaJcBXjA7DmQLZ12rOtacjGZ785yL82nfS45vQN2Xuu1DNPovll1U7rPPWE1KtLkIvm4GkefcJvTtYeyGmw/ZWnUWMy8+qaI+1G7FTWmHjii/28tOaI0zZPEzyaprH0p5Pc8q9tFFXUEB/m7/ExiELzIAKtE+GYgWg5+b370ynm/3s7+aVVbWdcHY42eulgePcwzBr8+csDLPq/PVTWmMgyVnhEUL6rrE6A3y7fzVvrjtpNKXsCjYn0GpPZeUMb4trjCz+5KDXRkaisMfHcNwf5UzvxlhzMKua6v/7EJ6kZTts80d6jOSVc+78/sXTzKQAu7RPlcYLHcnw7lVfG/3y6lydWHcBk1rhueFe+X3wFPz06yaMTGYTmQZIEWpm2TBKwkGWssAYYbz2Rz2Mr9lFRYyI21J+/zB1O1/AATuaVtWnMj62NsaH+vPvTKZ75+iAms0a8wZ/s4kpr+yJPiKGy2Btn8OedDcdZvkN1jLgiqQuPTutPQXm1x8RQfbwjncdW7MOkaejAKoKGdjPw2o3D6NUluC3Ns+IqIBrA10vHfZP6cM8VvdH7dKzkgZ3phfzPJ3s4fk6VfBiWoBpMm7V68dDWv3ULNSYzb68/zlvfH6XGpGEI8GV6ciyf/HwGk4fZm2Ws4OS5MnZnFPHmuqNU1piJCvbj5V8O5YqkaLvjTVv/Rx3jDkEd5x67egC3X5ro0WWdOjqtff4WgdbKeIJAc+RITgl3f5DKiXNleOlA09RJ21PEj4XNx/O494OdFFXY11fyxCymT34+wx8+32fXK8+TPk/bE9KOU4X8YWUaxZW1BPh68/sZA5jUvwun8svbXFTaikkvHfSNDuZwjmof1Dc6mOdvGMzIHhFtZl9zkGWs4HB2CWsP5PDR9nTMGnQJ0fPMtclMGRTrUeIhy1jBybwyams1Xvj2EPsziwG4akAMz16XTHSov0fZC64Fz2V9o3hlzlCiQ/zbzjAXNHRR8savhnHNsK5tY5RgRQRaB8cTBRpAaVUtDy7fbVfJHTxP/Hyx+ywPLN/ttP6920YzoV906xvUCBsPn+PX7263W+elg02/m0h8mGdN+2QWVfDwJ3vYfDzfbr0niEpHb+qqvVk8tWo/eaXV6HRwy5ge/DqlB+dKq9pcULqLY9YjwHXDu/KnWQMJ87Dix66ETligL0/OHsTsofEe6dk5klPC1Nc22k2V61D/wa7hnvUfLKuq5flvDrFsq3Mx4o/uGEuKQ8a40Pq09vlbYtAEAIL1Ptw2vqfTek8L8h2dGOEyhurB5Xv43x+Ouaxe3lb4+DgbatZg3r+28+XeTGo9KOYrPiyAD24fwwOT+titt5Q5ySxqu9+AbfVxnU7H7KHxfLdoAr8c2Q1Ng2VbTzP5tY3tKtOzqtbEe1tO8bvP7MWZlw4emZbkceJsd3ohj36W5uTZWXb7JVwzrKvHibOjOSX84fM0Zr21ySmOUQPSCzwn0SS3pJIXVx8i5bl1LsWZJ8bxCa2D1EETrCR2UQHkjkUQPengYAnKt8ZQ6SDU34fC8mpe+vYw//vDMX41uju3X5ZI17C29aRYAvIdT2rHz5Wx8D+76BoWwIJxPbnxkgRC/X3bxkgbvLx0jO0dyZvfH7Nbb9bg5n9u554JvZk1NN4jisaGBfrx0i+Hcnm/KO7/aLd1vVmDRz9LIzEqiEsSPc/jcCy3lOXb0/lsZwaFLi4mLFmanuAFrDGZ+f5QLsu3p7P+8DknoQNQWmlqdbsaotZkZt2hXN7bfMrJE2yLpxzTjuWW8o+NJ1i56yzVdRdr/9/enUdHUab7A/92p9NLesuezkZCAgkhgeDIkgxLQHSCCg46owiCesUjiMARXFDkDAz6+wEO4qhXcL0MozPCXEFFyTighEUTFhMCgSxAyAJZyEL2tZfn/pF0kU66s0jSaZLnc06fTqreqn77Safq6XepCvFUYlygK75OK7QYd+gInwdmf9zFaWeO2sVp1n7MjyMN8u2ofbeXp0qG784V4cOjV5BVUgsAcBKLMGesL56ZFgo3pfOATXroGM9X7xuF2iYDPj+RL1zyQil1wrwJw/Bfk4MR6O4ijPMZiPraGgNjppFL8PD4QDw2aZhDTCZIyinHgo9PWl03abg75k0IxL1RvgOaVDbpjfj3+WJ8cfIqTuXdEJZ7qWQor2u2SHwcYUjB1RsN2H26AP/7yzWU1tqe2T1Qde34/3GjvgV7Tl/F5yfyUVjV2jImFgH3jPbBE7HBKLjRgNe+GvhjmnmiQk2THl+mFFoMJ7kzyA3PTAvBPRE+EItFDjeOj7XiMWiDnKMnaABu24MDEeHYpXJ8dCwHP1/u/A16oMZTWYtnk96Ib9IK8cnxXFwqrRPqF+mnwfmiGtAAzlDtmFS+dn8E9EYTPj+Zj6vtuoamjvTEwpggzBzljbK65gFJKrtLKAFALZfg9+P8MG/8MET5a/q1O6598lDTaMAXpwqwL/UaapoMAFr/pneN8sajE4ZhergX9qZeG7AvRO3r6qGU4YfM1kkKxy/dvIyJp0qKP9wZgEcnDMOp3IoB//LWfhycSATcOcwN5wqr0dI2GcfNxRmPThyGhTFBFi3oA31M+3tSHtbvv2A5Fk7UOrliybQQjA++vSe6DBWcoA1yt0OCNhicL6zGX3+41GnSAwC8eu8oPHiHP7w1Az+Dy5xUfnL8isWJ0UwsAhJfnI4gD6Vd62XthGYyEY5eKsPnyfk4nF0qjJ3SKiSoaTQM2Mxfa62+U0d64cuUa/jXL1dxrd3dHiJ8NZg3PgBz7/BHo97Yp0mltUH0Zv6uCsybEIiHxwd0eq2BSB4sEh0ALlIn1Lfc7K6cOtIT8ycOw90RPpBKbg5VHshEp6iqAVO2JFqNb5S/Bk/EBmNOtB/kzgPfBQ8AeeX1OJxViu/PF+NUXqXFOhGAL56JQUyI43XDM9s4QRvkOEGzn666v4DWg/qMcG/MGOWN6ABXOFmbfWBHe05fxZq95zotl0nEmDrSC3HhXpge5oVA94EfP3P1RgP+eaoAX5ws6HTZExGAvz46DvGROrudLG0lDiYTIflKBfacvorvL5QILS1OYpFw94xbSSoNRhPOFVbj4IUSfHD0Sqf1cWGe+K/JwzF1pNeAf74AoKqhBf9OL8Har9I7jSnzUEoxf+IwzJsQ6BCfMQCoqGvGT5fLcfxSOX7MvG513N6fH4jE47FBAz5RocVgwqncGzicVYoj2aW4Ul7fZXmemXn74QRtkOMEzX6sdX+JAIzSqZHZNlbNzF0pxfQwL8wY5Y1pYV7QKpyFfdir664n3XUAEOqlRFyYN6aHe2HicHeLJMje49eOXizFE/9z2uo6qUSMCcFumDzCE5NDPRHlrx3QJKWqoQVfnynE5ycLcLmtW7m9BZOG4e4Ib4wPdrc5acNoImQU1SD5SjmScypwKveGRctTRwN9Eq5p0uN07g0k5VQgOacCmSU1sHXE/3zxREwZ6WXfCnbQbDAiJa8Sxy6V4/ilMuE6a7bYcxyctf+t6zVNSMwqRWJ2KX66VG7xWZCIRZgQ7I7xQW54/8jlTpOvBnqsIes9TtAGOU7Q7MvWpIey2mYcvViGxKxSHLtYhtpmg7CNk1iEO4Pc4KGU4j8XSux6x4KO9X3jwSiM8dfi6MUyHMkuRWpBlcV9U+XOYsSGeGB6uDfqmw3YejDbrvW1lQR7qmQo63DrMI1cgt+GemLySE9MGeGJYA8XodXDnoll0uVyLPjEdsuqCMCYAC1iQjwwMdgdGoUz0gur2xKyCmE8mZlW4YzoAC2OXyq364B/azGrbzbgdN4NJF+pwImcCqQXVndK+IM9XJBXYXnZFHsnDOa6B3u4oK7ZiGMXy3D8UjlO5lagSW95+ZkIXw2mjfTElJGeyK9owPpvLth9HFzHsW8zwr1xvaapUwLpqZJhRrgX7hrljckjPYVE/3aZfMW6xgnaIMcJmv11N25GbzThl7xKHMkuxeGsUmHQfkciAP//wShMHuGFQHdFv3WpdFXf6kY9fr5cjiPZpTh6sQzXa2zPshOLgEOr4hDq3b+zLa2dfB4ZH4icsnr8fLkcP10ux4mcCoskGGgdlzV5hAfEIhH+9ctVuyWWPW2p7MrMUd6I9NNAp5UjLswL/m4udj0Jd0oYwrxR3aTH2atVMHR4Y8EeLogN9UBMiAdiQzzgrZEPWMJgaLs91LZDF61etgMAvNUyTBnpiWkjvTB5hCe81DKL9fYaB2cyEa5WNuDny+V47avzVusrEgFjA1xxV7g3ZozyQpSfFmIbrcQDPVGB3TpO0AY5TtAc39UbDfj0p1zhZsrWqGUSRPhqEOGrxmg/DUb7ajHSR2XXAcpEhKySWhzJLsP+s4XILK61Wi7IwwUROg1G+aoxStda50A3F5snkl+ju5OPwWhCemG1kLCl5lcJ137qSATg9blRmDTcHcGeSjg79f31tLsa0N8T/q4KFFU1ChMj/t+DYzB/4rB+OwkbTYTCykZcLqtFan4l/jsxp8u6xYa2JmOxoR7ws3E9wP5MGIgIRdVNuFhSi6ySWly8XovsklpcKq2F3tg56DHD3XH3aB9MHemFMB+V3ceTNemNuHS9DhnF1cgoqkFGcQ0yi2tR1+FLRXvPxoVi8dTh8FTJbJZhgwsnaIMcJ2i3B1tdd+E6Na6U1VtNLpzEIoR6KTHaV4PRfhpE+Gow2lcDD5Ws37vwetsqpJQ6IVynxijf1npG6NQI16mhlttn7F1DiwGn8yrxv79cxXfnim2Wk4hFGO6pRJiPGiN9VBjprUaYj0pI3KzVs/0ynUaOkpomXC6ts3jklNWhvK6lyzo+Mj4A8yYEwlstR0p+JU5cqcCJKxWdugfNQr2UGKXTINRLiVBvFUK9VBjuqYRSdvN64N3FtdlgRF55w826lrU+Xymrs7ivqzVLpoVgYUxQvw3wt1X3yvoWIQkzP18sqe3UYtqV/hyrZ+26aZnFNUIillFUg8tldRZDB8ykTmKEeCmF6yua8RiyoYkTtEGOE7Tbh61uIL3RhCtl9cgorkZmca1woL9Rb/2Er5FLhHFLIgCLYoPwyPhA+Gjk8FBK+6wly1p9747wQXZJLTKKa5BVUouskhpcvF4nzGbsKMBNAY3cGZnFNSC0duGsmTUKi6cM75eWLJsTOXw1KKiotzkA39lJBHelVOjiFQFYGBMEExH+ebJA6I6SOonQYqXFxsxXK0egmwKn8yp7PH7swLkiPPfPMz1+j35aOUK9VTCaCMk5FUKr27PTR2C4p1JIxrJLalBY1WgzyZZKxAjxVMLfVYHDWaV2He/W8bIck0d4AgCyr9eizMbFbCViEUK9VAjTqTFKp0aYjxpuLs545MPkfh8wbzCaUFrbjM9O5OODIzlCrLQKCaobrSeObi7Oba3hGqFVPMSr9YsAjyFjACdogx4naLeXnnYDERGu1zS3fjNv9+08t5up9s5OInir5fDVyuGjlcNXI4dO2/Zo+9lbLbe4FlX7ullrPequvgajCbnl9cgsqUVmcQ2y2pK34uqmLuvqqZLCRyNv95BB1+F3d6XUZvfU2auVOJV3AxOD3REd6CYst3XyIyJcvdGIE7mtA95PXKlAUTd17IqHUoqYtrFY0QFahHipoGpr3bJWh2lhXkJ8AVj83DGpFIuAv/wxGsXVjTiZewMnc2/YTIJ7wlstw7QwL4zwVmGElwojfVQIcHMRZsF2lzD0pgW0vtmA6zVNKK1tbn2Yf257LqxsQH43964MdFcg3EeDcJ0K4ToNwn3UGO6ptPq57aruPal3s8GI0ppmFFc3obi6ESXVTSiubmp9rmlCSXUjymqbu2xNDvZwEVq4R/u1PnQaeZddqzyGjHGCNshxgja0HM66jqf+9kun5a4KZ1Q36W1e8qAjT5UMOq0MOo0COq0MZbXNOHjhutDKZb5PpovUCQpnJyjaniW9aPWqrG/B3tRreONAZo+36UjqJIaXWtaavLUllzqtHD9mXsfpdhfrnDrSE4tiglDfYkBdkwH5FQ0ouNEAg4lQ32xARX0LKuqarV73qi8onJ3gpZbBUyVte5ZB7iwGERDmo0b+jQZ8eDRHaDECWm+yLQIwJ9oXdc1GJLZrxXJXStGsN3Z5yY3echaL4KFqTXo9VFJ4KKVwV8qEn0UAmgxGRPhqMMpXA7VMApFI1GkCwX1ROkwIdkezwWQ1Cfu1dZ49Roff3+GP34Z6WnTj9oS1ZOefJ/Ox7uvzQr0fvjMAQR7KmwlYTWsy1l3XtJmTGLA2zPF/nhiPuyJ8elVfxgBO0AY9TtCGFmtdeOYuHU9Va6JVXN2E6zVNls/VTSiuacT16mabg+l7QuokhtxZDBepREjaFFInuEidIHd26pTQXSisxtEOdzQQAZgVpcON+hZcq2wU7nfIeq59N7eZCLA5k3EgKaVO8HNVtD3kUMsk+Ph4rs1ZjEumhSAmxAONLUY0tBjRoDeiscWA+mYjGvVGNLQY0NBiFNY3thjRoLdc1tBsgL4XMzZkEjF821qafbWKtufWVmfz7y0GI6a+mcjXH2N9hhO0QY4TtKHnVsavEBFu1LdYJG8p+Tfw1ZmiTmU1cmcYTSY06I09bpljzJFNC/NEdIBruwRMAV+tHK4uzj2a6cljx1hf4gRtkOMEbWjqy/ErXbXK+WoVICI0G0xobDG3YBjR1Pbc2Na6YV7eaH7ojcgpq8N/LnS+d2l8pA+GubtA4iSGs5MYzmIRnCViSMQiSCViSMRiSJxEkDq1Pjs7ieHc9iwRi5FfXodXvjrfab9fPhuDcB8NGvVGNOtNbXVrrWujvvW5qf1ygxFNLeZ1JuTfqMexi53vXxob4g6lTAJ3pRRuLtK2+oghlbTWq/VZLNRTav65bX1tox5L/5FqM8kViYB190XARSZBi8HU+jCa0Gz+2WBCi9Eo/Kw3tv49Wowm1DbpUdekR6PeiGuVtsfTjfHXYqS3CjJnJ8idxZA7O0Euaf1ZJmn7vW2drO3SLo0tRlyrbMCmhCybLXNxYZ7wUMqgNxEMxta6GUwmGIwEvdEEo4mEdQYjQd+2ztD2/hpaDGjUd27RDXJ3gZdaJrTOmltslVInKKSStmWtrbQubb/fLOuE2iYD/rAjqV9au3jsGOsr9j5/927gAGPsV/HVKvrs5OCrVWDTQ2M6tQyY9y8SiYQTuFs3+2qvuLoRhzKudzpJbngg8pbqHhvqgdP5ldibWigs+8Nv/DE+qPWyCmobt1XqSX2tJarb5o275VhvbhdfUVtfJLXtvy9aYazVXSwC3n30DtwZ7HZL9dcqnK1e481JJMLmP4y9pX3bivnuJTG3HPOuPtO3oi//9xizJ25BszNuQWN9pT9aBvqzS+js1Ur8kleJ8cFuFrM4b0V/1rd9fAHcVrEurm7Ezp9z8cmxXJjQd4klYL+Yc1LFHA13cQ5ynKAxR3e7nSRvt/q2199176/9384xZ+zX4gRtkOMEjTHGGLv92Pv83feXBmeMMcYYY7eEEzTGGGOMMQfDCRpjjDHGmIPhBI0xxhhjzMFwgsYYY4wx5mA4QWOMMcYYczCcoDHGGGOMORhO0BhjjDHGHAwnaIwxxhhjDoYTNMYYY4wxB8MJGmOMMcaYg5EMdAWGGvOtT2tqaga4JowxxhjrKfN52163MOcEzc5qa2sBAIGBgQNcE8YYY4z1Vm1tLbRabb+/jojslQoyAIDJZEJRURHUajVEIlG/vEZNTQ0CAwNx9epVaDSafnmNwYZj1nscs97jmPUex6z3OGa915OYERFqa2vh5+cHsbj/R4hxC5qdicViBAQE2OW1NBoN/3P2Eses9zhmvccx6z2OWe9xzHqvu5jZo+XMjCcJMMYYY4w5GE7QGGOMMcYcDCdog5BMJsP69eshk8kGuiq3DY5Z73HMeo9j1nscs97jmPWeI8aMJwkwxhhjjDkYbkFjjDHGGHMwnKAxxhhjjDkYTtAYY4wxxhwMJ2iMMcYYYw6GEzQ727RpEyZMmAC1Wg1vb2/MnTsX2dnZwnq9Xo81a9ZgzJgxUCqV8PPzw+OPP46ioiKL/TQ3N2PFihXw9PSEUqnEAw88gGvXrlmUqaysxKJFi6DVaqHVarFo0SJUVVVZlCkoKMCcOXOgVCrh6emJlStXoqWlxaJMeno64uLioFAo4O/vj40bN9rtXmRA9zHraMmSJRCJRPjrX/9qsZxj1jlmmZmZeOCBB6DVaqFWqxETE4OCggJhPcfMMmZ1dXVYvnw5AgICoFAoEBERgR07dliUGUox27FjB8aOHStc3DM2Nhb//ve/hfVEhA0bNsDPzw8KhQLTp0/HhQsXLPYxlOIFdB0zPv5b193nrL1BdfwnZlfx8fG0c+dOOn/+PKWlpdH9999Pw4YNo7q6OiIiqqqqorvvvpv27NlDWVlZlJycTJMmTaI777zTYj9Lly4lf39/OnToEKWmptKMGTMoOjqaDAaDUGbWrFkUFRVFSUlJlJSURFFRUTR79mxhvcFgoKioKJoxYwalpqbSoUOHyM/Pj5YvXy6Uqa6uJh8fH3r00UcpPT2d9u7dS2q1mrZu3drPkbqpu5i199VXX1F0dDT5+fnR22+/bbGOY2YZs8uXL5O7uzu99NJLlJqaSjk5OfTdd9/R9evXhTIcM8uYPf300xQaGkqJiYmUm5tLH374ITk5OdHXX38tlBlKMdu/fz8dOHCAsrOzKTs7m9auXUvOzs50/vx5IiLavHkzqdVq2rt3L6Wnp9O8efPI19eXampqhH0MpXgRdR0zPv5b193nzGywHf85QRtgpaWlBICOHj1qs8ypU6cIAOXn5xNRaxLn7OxMu3fvFsoUFhaSWCym77//noiIMjIyCACdOHFCKJOcnEwAKCsri4iIEhISSCwWU2FhoVDmiy++IJlMRtXV1UREtH37dtJqtdTU1CSU2bRpE/n5+ZHJZOqDCPSerZhdu3aN/P396fz58xQUFGTxD8ox6xyzefPm0cKFC21uwzHrHLPIyEjauHGjRbnf/OY3tG7dOiLimBERubm50SeffEImk4l0Oh1t3rxZWNfU1ERarZY++OADIuJ4mZljZg0f/63rGLPBePznLs4BVl1dDQBwd3fvsoxIJIKrqysAICUlBXq9Hr/73e+EMn5+foiKikJSUhIAIDk5GVqtFpMmTRLKxMTEQKvVWpSJioqCn5+fUCY+Ph7Nzc1ISUkRysTFxVlcvC8+Ph5FRUXIy8u7tTf/K1mLmclkwqJFi/DSSy8hMjKy0zYcM8uYmUwmHDhwAGFhYYiPj4e3tzcmTZqEr7/+WtiGY9b5czZlyhTs378fhYWFICIkJibi4sWLiI+PBzC0Y2Y0GrF7927U19cjNjYWubm5KCkpsYiFTCZDXFyc8D6HcryAzjGzho//lqzFbLAe/zlBG0BEhNWrV2PKlCmIioqyWqapqQmvvPIKFixYINzAtaSkBFKpFG5ubhZlfXx8UFJSIpTx9vbutD9vb2+LMj4+Phbr3dzcIJVKuyxj/t1cxp5sxWzLli2QSCRYuXKl1e04ZpYxKy0tRV1dHTZv3oxZs2bh4MGDePDBB/HQQw/h6NGjQl05Zpafs3fffRejR49GQEAApFIpZs2ahe3bt2PKlClCXYdazNLT06FSqSCTybB06VJ89dVXGD16tFAHa3Vs/x6GWrwA2zHriI//N3UVs8F6/Jf0qjTrU8uXL8e5c+fw008/WV2v1+vx6KOPwmQyYfv27d3uj4ggEomE39v/3JdlqG2wo7Vt+5u1mKWkpOCdd95Bampqr+s0VGNmMpkAAL///e+xatUqAMC4ceOQlJSEDz74AHFxcTb3N1RjBrQmaCdOnMD+/fsRFBSEY8eOYdmyZfD19cXdd99tc3+DOWbh4eFIS0tDVVUV9u7diyeeeEJI8m3Vsbv6DeZ4AbZj1j5J4+O/JVsxa2xsHLTHf25BGyArVqzA/v37kZiYiICAgE7r9Xo9HnnkEeTm5uLQoUPCtycA0Ol0aGlpQWVlpcU2paWlQqau0+lw/fr1TvstKyuzKNMxo6+srIRer++yTGlpKYDO34z7m62YHT9+HKWlpRg2bBgkEgkkEgny8/PxwgsvIDg4GADHrGPMPD09IZFIOn1rj4iIEGZxcswsY9bY2Ii1a9di27ZtmDNnDsaOHYvly5dj3rx52Lp1K4ChGTOpVIoRI0Zg/Pjx2LRpE6Kjo/HOO+9Ap9MB6Nxq0DEWQy1egO2YmfHxvzNbMRvUx/9ejVhjt8xkMtFzzz1Hfn5+dPHiRatlWlpaaO7cuRQZGUmlpaWd1psHPO7Zs0dYVlRUZHXA48mTJ4UyJ06csDrgsaioSCize/fuTgMeXV1dqbm5WSizefNmuw4S7S5m5eXllJ6ebvHw8/OjNWvWCO+VY9ZZbGxsp0kCc+fOpfnz5xMRx6yj6upqAkAJCQkWy5955hm65557iGjoxcyau+66i5544glhksCWLVuEdc3NzVYnCQzleBHdjBkRH/97yhyzwXz85wTNzp599lnSarV05MgRKi4uFh4NDQ1ERKTX6+mBBx6ggIAASktLsyjT/g++dOlSCggIoB9++IFSU1PprrvusjpleOzYsZScnEzJyck0ZswYq1OGZ86cSampqfTDDz9QQECAxZThqqoq8vHxofnz51N6ejrt27ePNBqNXadZdxczazrO4iHimHWM2b59+8jZ2Zk++ugjunTpEr333nvk5OREx48fF8pwzCxjFhcXR5GRkZSYmEhXrlyhnTt3klwup+3btwtlhlLMXn31VTp27Bjl5ubSuXPnaO3atSQWi+ngwYNE1Hpi0mq1tG/fPkpPT6f58+dbvczGUIkXUdcx4+O/dd19zjoaLMd/TtDsDIDVx86dO4mIKDc312aZxMREYT+NjY20fPlycnd3J4VCQbNnz6aCggKL16qoqKDHHnuM1Go1qdVqeuyxx6iystKiTH5+Pt1///2kUCjI3d2dli9fbjE9mIjo3LlzNHXqVJLJZKTT6WjDhg12/fbUXcyssfYPyjHrHLNPP/2URowYQXK5nKKjoy2u50XEMesYs+LiYnryySfJz8+P5HI5hYeH01tvvWVRz6EUs6eeeoqCgoJIKpWSl5cXzZw50+KkaTKZaP369aTT6Ugmk9G0adMoPT3dYh9DKV5EXceMj//Wdfc562iwHP9FRHa+JDBjjDHGGOsSTxJgjDHGGHMwnKAxxhhjjDkYTtAYY4wxxhwMJ2iMMcYYYw6GEzTGGGOMMQfDCRpjjDHGmIPhBI0xxhhjzMFwgsYYY4wx5mA4QWOMDUp/+9vf4Orq2qtt8vLyIBKJkJaWBgA4cuQIRCIRqqqq+rx+Ay04OBgikahP3t/06dOFfZljxxi7NZygMcb6hDmZsfWYMWPGQFex137729+iuLgYWq2227K3YzK3cePGHr+/ruzbtw+nTp3qo1oxxgBAMtAVYIwNDuZkpqP9+/dj6dKlWLZs2QDU6tZIpVLodLqBrka/UavVffL+3N3dUVNT0wc1YoyZcQsaY6xPmJOZ9o/Kykq89NJLWLt2LR5++GGh7NGjRzFx4kTIZDL4+vrilVdegcFgENZPnz4dK1euxMsvvwx3d3fodDps2LDB4vW2bduGMWPGQKlUIjAwEMuWLUNdXV2v6nzq1CnccccdkMvlGD9+PM6cOWOxvmOrWH5+PubMmQM3NzcolUpERkYiISEBeXl5Qguhm5sbRCIRnnzySQDA999/jylTpsDV1RUeHh6YPXs2cnJyhNcwd6vu27cPM2bMgIuLC6Kjo5GcnGxRl59//hlxcXFwcXGBm5sb4uPjUVlZCQAgIrz55psICQmBQqFAdHQ0vvzyy17FArjZLfzdd98hPDwcLi4u+OMf/4j6+nrs2rULwcHBcHNzw4oVK2A0Gnu9f8ZYz3GCxhjrF1VVVZg7dy7i4uLw+uuvC8sLCwtx3333YcKECTh79ix27NiBTz/9FG+88YbF9rt27YJSqcTJkyfx5ptvYuPGjTh06JCwXiwW491338X58+exa9cuHD58GC+//HKP61dfX4/Zs2cjPDwcKSkp2LBhA1588cUut3nuuefQ3NyMY8eOIT09HVu2bIFKpUJgYCD27t0LAMjOzkZxcTHeeecd4XVWr16N06dP48cff4RYLMaDDz4Ik8lkse/XXnsNL774ItLS0hAWFob58+cLSWtaWhpmzpyJyMhIJCcn46effsKcOXOEJGndunXYuXMnduzYgQsXLmDVqlVYuHAhjh492uN4mDU0NODdd9/F7t278f333+PIkSN46KGHkJCQgISEBHz22Wf46KOPflUCyBjrBWKMsT5mNBrp3nvvpYiICKqurrZYt3btWgoPDyeTySQse//990mlUpHRaCQiori4OJoyZYrFdhMmTKA1a9bYfM1//etf5OHhIfy+c+dO0mq1Nst/+OGH5O7uTvX19cKyHTt2EAA6c+YMERElJiYSAKqsrCQiojFjxtCGDRus7q9jWVtKS0sJAKWnpxMRUW5uLgGgTz75RChz4cIFAkCZmZlERDR//nyaPHmy1f3V1dWRXC6npKQki+WLFy+m+fPn26xHUFAQvf322xbLdu7cSQDo8uXLwrIlS5aQi4sL1dbWCsvi4+NpyZIlFtua34c5doyxW8MtaIyxPrd27VokJyfjm2++gUajsViXmZmJ2NhYiEQiYdnkyZNRV1eHa9euCcvGjh1rsZ2vry9KS0uF3xMTE3HPPffA398farUajz/+OCoqKlBfX9+jOmZmZiI6OhouLi7CstjY2C63WblyJd544w1MnjwZ69evx7lz57p9nZycHCxYsAAhISHQaDQYPnw4AKCgoMCiXPv36+vrCwDC+zW3oFmTkZGBpqYm3HPPPVCpVMLj73//u0VXak+5uLggNDRU+N3HxwfBwcFQqVQWy9r/LRhjfY8TNMZYn9qzZw+2bt2K3bt3Y+TIkZ3WE5FFcmZeBsBiubOzs0UZkUgkdAvm5+fjvvvuQ1RUFPbu3YuUlBS8//77AAC9Xt+jeppfszeefvppXLlyBYsWLUJ6ejrGjx+P9957r8tt5syZg4qKCnz88cc4efIkTp48CQBoaWmxKNf+/ZrjYH6/CoXC5v7NZQ4cOIC0tDThkZGR8au6Ia3Fvau/BWOsf3CCxhjrM2lpaXjqqaewefNmxMfHWy0zevRoJCUlWSRISUlJUKvV8Pf379Hr/PLLLzAYDHjrrbcQExODsLAwFBUV9aquo0ePxtmzZ9HY2CgsO3HiRLfbBQYGYunSpdi3bx9eeOEFfPzxxwBaJ0kAsBg8X1FRgczMTKxbtw4zZ85ERESEMLC/N8aOHYsff/zR5vuQyWQoKCjAiBEjLB6BgYG9fi3GmGPgBI0x1ifKy8sxd+5cTJ8+HQsXLkRJSYnFo6ysDACwbNkyXL16FStWrEBWVha++eYbrF+/HqtXr4ZY3LNDUmhoKAwGA9577z1cuXIFn332GT744INe1XfBggUQi8VYvHgxMjIykJCQgK1bt3a5zfPPP4///Oc/yM3NRWpqKg4fPoyIiAgAQFBQEEQiEb777juUlZWhrq4Obm5u8PDwwEcffYTLly/j8OHDWL16da/qCQCvvvoqTp8+jWXLluHcuXPIysrCjh07UF5eDrVajRdffBGrVq3Crl27kJOTgzNnzuD999/Hrl27ev1ajDHHwAkaY6xPHDhwAPn5+UhISICvr2+nx4QJEwAA/v7+SEhIwKlTpxAdHY2lS5di8eLFWLduXY9fa9y4cdi2bRu2bNmCqKgo/OMf/8CmTZt6VV+VSoVvv/0WGRkZuOOOO/Daa69hy5YtXW5jNBrx3HPPISIiArNmzUJ4eDi2b98uvK8///nPeOWVV+Dj44Ply5dDLBZj9+7dSElJQVRUFFatWoW//OUvvaonAISFheHgwYM4e/YsJk6ciNjYWHzzzTeQSFovZfn666/jT3/6EzZt2oSIiAjEx8fj22+/Fca7McZuPyL6NQMxGGOM3daCg4Px/PPP4/nnn++T/eXl5WH48OE4c+YMxo0b1yf7ZGwo4xY0xhgbotasWQOVSoXq6upb2s+9996LyMjIPqoVYwzgFjTGGBuS8vPzhRmvISEhPR7/Z01hYaEw2WLYsGHChAnG2K/HCRpjjDHGmIPhLk7GGGOMMQfDCRpjjDHGmIPhBI0xxhhjzMFwgsYYY4wx5mA4QWOMMcYYczCcoDHGGGOMORhO0BhjjDHGHAwnaIwxxhhjDub/AAgr72Fv6yg/AAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ds = xr.open_zarr(\"EddyParticles.zarr\")\n",
    "\n",
    "plt.plot(ds.lon.T, ds.lat.T, \".-\")\n",
    "plt.xlabel(\"Zonal distance [m]\")\n",
    "plt.ylabel(\"Meridional distance [m]\")\n",
    "plt.show()"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Using the `FuncAnimation()` method, we can show the trajectories as an animation and watch the particles go!\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "%%capture\n",
    "fig = plt.figure(figsize=(7, 5), constrained_layout=True)\n",
    "ax = fig.add_subplot()\n",
    "\n",
    "ax.set_ylabel(\"Meridional distance [m]\")\n",
    "ax.set_xlabel(\"Zonal distance [m]\")\n",
    "ax.set_xlim(0, 4e5)\n",
    "ax.set_ylim(0, 7e5)\n",
    "\n",
    "# show only every fifth output (for speed in creating the animation)\n",
    "timerange = np.unique(ds[\"time\"].values)[::5]\n",
    "\n",
    "# Indices of the data where time = 0\n",
    "time_id = np.where(ds[\"time\"] == timerange[0])\n",
    "\n",
    "sc = ax.scatter(ds[\"lon\"].values[time_id], ds[\"lat\"].values[time_id])\n",
    "\n",
    "t = str(timerange[0].astype(\"timedelta64[h]\"))\n",
    "title = ax.set_title(f\"Particles at t = {t}\")\n",
    "\n",
    "\n",
    "def animate(i):\n",
    "    t = str(timerange[i].astype(\"timedelta64[h]\"))\n",
    "    title.set_text(f\"Particles at t = {t}\")\n",
    "\n",
    "    time_id = np.where(ds[\"time\"] == timerange[i])\n",
    "    sc.set_offsets(np.c_[ds[\"lon\"].values[time_id], ds[\"lat\"].values[time_id]])\n",
    "\n",
    "\n",
    "anim = FuncAnimation(fig, animate, frames=len(timerange), interval=100)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "<link rel=\"stylesheet\"\n",
       "href=\"https://maxcdn.bootstrapcdn.com/font-awesome/4.4.0/css/font-awesome.min.css\">\n",
       "<script language=\"javascript\">\n",
       "  function isInternetExplorer() {\n",
       "    ua = navigator.userAgent;\n",
       "    /* MSIE used to detect old browsers and Trident used to newer ones*/\n",
       "    return ua.indexOf(\"MSIE \") > -1 || ua.indexOf(\"Trident/\") > -1;\n",
       "  }\n",
       "\n",
       "  /* Define the Animation class */\n",
       "  function Animation(frames, img_id, slider_id, interval, loop_select_id){\n",
       "    this.img_id = img_id;\n",
       "    this.slider_id = slider_id;\n",
       "    this.loop_select_id = loop_select_id;\n",
       "    this.interval = interval;\n",
       "    this.current_frame = 0;\n",
       "    this.direction = 0;\n",
       "    this.timer = null;\n",
       "    this.frames = new Array(frames.length);\n",
       "\n",
       "    for (var i=0; i<frames.length; i++)\n",
       "    {\n",
       "     this.frames[i] = new Image();\n",
       "     this.frames[i].src = frames[i];\n",
       "    }\n",
       "    var slider = document.getElementById(this.slider_id);\n",
       "    slider.max = this.frames.length - 1;\n",
       "    if (isInternetExplorer()) {\n",
       "        // switch from oninput to onchange because IE <= 11 does not conform\n",
       "        // with W3C specification. It ignores oninput and onchange behaves\n",
       "        // like oninput. In contrast, Microsoft Edge behaves correctly.\n",
       "        slider.setAttribute('onchange', slider.getAttribute('oninput'));\n",
       "        slider.setAttribute('oninput', null);\n",
       "    }\n",
       "    this.set_frame(this.current_frame);\n",
       "  }\n",
       "\n",
       "  Animation.prototype.get_loop_state = function(){\n",
       "    var button_group = document[this.loop_select_id].state;\n",
       "    for (var i = 0; i < button_group.length; i++) {\n",
       "        var button = button_group[i];\n",
       "        if (button.checked) {\n",
       "            return button.value;\n",
       "        }\n",
       "    }\n",
       "    return undefined;\n",
       "  }\n",
       "\n",
       "  Animation.prototype.set_frame = function(frame){\n",
       "    this.current_frame = frame;\n",
       "    document.getElementById(this.img_id).src =\n",
       "            this.frames[this.current_frame].src;\n",
       "    document.getElementById(this.slider_id).value = this.current_frame;\n",
       "  }\n",
       "\n",
       "  Animation.prototype.next_frame = function()\n",
       "  {\n",
       "    this.set_frame(Math.min(this.frames.length - 1, this.current_frame + 1));\n",
       "  }\n",
       "\n",
       "  Animation.prototype.previous_frame = function()\n",
       "  {\n",
       "    this.set_frame(Math.max(0, this.current_frame - 1));\n",
       "  }\n",
       "\n",
       "  Animation.prototype.first_frame = function()\n",
       "  {\n",
       "    this.set_frame(0);\n",
       "  }\n",
       "\n",
       "  Animation.prototype.last_frame = function()\n",
       "  {\n",
       "    this.set_frame(this.frames.length - 1);\n",
       "  }\n",
       "\n",
       "  Animation.prototype.slower = function()\n",
       "  {\n",
       "    this.interval /= 0.7;\n",
       "    if(this.direction > 0){this.play_animation();}\n",
       "    else if(this.direction < 0){this.reverse_animation();}\n",
       "  }\n",
       "\n",
       "  Animation.prototype.faster = function()\n",
       "  {\n",
       "    this.interval *= 0.7;\n",
       "    if(this.direction > 0){this.play_animation();}\n",
       "    else if(this.direction < 0){this.reverse_animation();}\n",
       "  }\n",
       "\n",
       "  Animation.prototype.anim_step_forward = function()\n",
       "  {\n",
       "    this.current_frame += 1;\n",
       "    if(this.current_frame < this.frames.length){\n",
       "      this.set_frame(this.current_frame);\n",
       "    }else{\n",
       "      var loop_state = this.get_loop_state();\n",
       "      if(loop_state == \"loop\"){\n",
       "        this.first_frame();\n",
       "      }else if(loop_state == \"reflect\"){\n",
       "        this.last_frame();\n",
       "        this.reverse_animation();\n",
       "      }else{\n",
       "        this.pause_animation();\n",
       "        this.last_frame();\n",
       "      }\n",
       "    }\n",
       "  }\n",
       "\n",
       "  Animation.prototype.anim_step_reverse = function()\n",
       "  {\n",
       "    this.current_frame -= 1;\n",
       "    if(this.current_frame >= 0){\n",
       "      this.set_frame(this.current_frame);\n",
       "    }else{\n",
       "      var loop_state = this.get_loop_state();\n",
       "      if(loop_state == \"loop\"){\n",
       "        this.last_frame();\n",
       "      }else if(loop_state == \"reflect\"){\n",
       "        this.first_frame();\n",
       "        this.play_animation();\n",
       "      }else{\n",
       "        this.pause_animation();\n",
       "        this.first_frame();\n",
       "      }\n",
       "    }\n",
       "  }\n",
       "\n",
       "  Animation.prototype.pause_animation = function()\n",
       "  {\n",
       "    this.direction = 0;\n",
       "    if (this.timer){\n",
       "      clearInterval(this.timer);\n",
       "      this.timer = null;\n",
       "    }\n",
       "  }\n",
       "\n",
       "  Animation.prototype.play_animation = function()\n",
       "  {\n",
       "    this.pause_animation();\n",
       "    this.direction = 1;\n",
       "    var t = this;\n",
       "    if (!this.timer) this.timer = setInterval(function() {\n",
       "        t.anim_step_forward();\n",
       "    }, this.interval);\n",
       "  }\n",
       "\n",
       "  Animation.prototype.reverse_animation = function()\n",
       "  {\n",
       "    this.pause_animation();\n",
       "    this.direction = -1;\n",
       "    var t = this;\n",
       "    if (!this.timer) this.timer = setInterval(function() {\n",
       "        t.anim_step_reverse();\n",
       "    }, this.interval);\n",
       "  }\n",
       "</script>\n",
       "\n",
       "<style>\n",
       ".animation {\n",
       "    display: inline-block;\n",
       "    text-align: center;\n",
       "}\n",
       "input[type=range].anim-slider {\n",
       "    width: 374px;\n",
       "    margin-left: auto;\n",
       "    margin-right: auto;\n",
       "}\n",
       ".anim-buttons {\n",
       "    margin: 8px 0px;\n",
       "}\n",
       ".anim-buttons button {\n",
       "    padding: 0;\n",
       "    width: 36px;\n",
       "}\n",
       ".anim-state label {\n",
       "    margin-right: 8px;\n",
       "}\n",
       ".anim-state input {\n",
       "    margin: 0;\n",
       "    vertical-align: middle;\n",
       "}\n",
       "</style>\n",
       "\n",
       "<div class=\"animation\">\n",
       "  <img id=\"_anim_img39fc9ac9ecc54c368c0d0e047c7673e6\">\n",
       "  <div class=\"anim-controls\">\n",
       "    <input id=\"_anim_slider39fc9ac9ecc54c368c0d0e047c7673e6\" type=\"range\" class=\"anim-slider\"\n",
       "           name=\"points\" min=\"0\" max=\"1\" step=\"1\" value=\"0\"\n",
       "           oninput=\"anim39fc9ac9ecc54c368c0d0e047c7673e6.set_frame(parseInt(this.value));\">\n",
       "    <div class=\"anim-buttons\">\n",
       "      <button title=\"Decrease speed\" aria-label=\"Decrease speed\" onclick=\"anim39fc9ac9ecc54c368c0d0e047c7673e6.slower()\">\n",
       "          <i class=\"fa fa-minus\"></i></button>\n",
       "      <button title=\"First frame\" aria-label=\"First frame\" onclick=\"anim39fc9ac9ecc54c368c0d0e047c7673e6.first_frame()\">\n",
       "        <i class=\"fa fa-fast-backward\"></i></button>\n",
       "      <button title=\"Previous frame\" aria-label=\"Previous frame\" onclick=\"anim39fc9ac9ecc54c368c0d0e047c7673e6.previous_frame()\">\n",
       "          <i class=\"fa fa-step-backward\"></i></button>\n",
       "      <button title=\"Play backwards\" aria-label=\"Play backwards\" onclick=\"anim39fc9ac9ecc54c368c0d0e047c7673e6.reverse_animation()\">\n",
       "          <i class=\"fa fa-play fa-flip-horizontal\"></i></button>\n",
       "      <button title=\"Pause\" aria-label=\"Pause\" onclick=\"anim39fc9ac9ecc54c368c0d0e047c7673e6.pause_animation()\">\n",
       "          <i class=\"fa fa-pause\"></i></button>\n",
       "      <button title=\"Play\" aria-label=\"Play\" onclick=\"anim39fc9ac9ecc54c368c0d0e047c7673e6.play_animation()\">\n",
       "          <i class=\"fa fa-play\"></i></button>\n",
       "      <button title=\"Next frame\" aria-label=\"Next frame\" onclick=\"anim39fc9ac9ecc54c368c0d0e047c7673e6.next_frame()\">\n",
       "          <i class=\"fa fa-step-forward\"></i></button>\n",
       "      <button title=\"Last frame\" aria-label=\"Last frame\" onclick=\"anim39fc9ac9ecc54c368c0d0e047c7673e6.last_frame()\">\n",
       "          <i class=\"fa fa-fast-forward\"></i></button>\n",
       "      <button title=\"Increase speed\" aria-label=\"Increase speed\" onclick=\"anim39fc9ac9ecc54c368c0d0e047c7673e6.faster()\">\n",
       "          <i class=\"fa fa-plus\"></i></button>\n",
       "    </div>\n",
       "    <form title=\"Repetition mode\" aria-label=\"Repetition mode\" action=\"#n\" name=\"_anim_loop_select39fc9ac9ecc54c368c0d0e047c7673e6\"\n",
       "          class=\"anim-state\">\n",
       "      <input type=\"radio\" name=\"state\" value=\"once\" id=\"_anim_radio1_39fc9ac9ecc54c368c0d0e047c7673e6\"\n",
       "             >\n",
       "      <label for=\"_anim_radio1_39fc9ac9ecc54c368c0d0e047c7673e6\">Once</label>\n",
       "      <input type=\"radio\" name=\"state\" value=\"loop\" id=\"_anim_radio2_39fc9ac9ecc54c368c0d0e047c7673e6\"\n",
       "             checked>\n",
       "      <label for=\"_anim_radio2_39fc9ac9ecc54c368c0d0e047c7673e6\">Loop</label>\n",
       "      <input type=\"radio\" name=\"state\" value=\"reflect\" id=\"_anim_radio3_39fc9ac9ecc54c368c0d0e047c7673e6\"\n",
       "             >\n",
       "      <label for=\"_anim_radio3_39fc9ac9ecc54c368c0d0e047c7673e6\">Reflect</label>\n",
       "    </form>\n",
       "  </div>\n",
       "</div>\n",
       "\n",
       "\n",
       "<script language=\"javascript\">\n",
       "  /* Instantiate the Animation class. */\n",
       "  /* The IDs given should match those used in the template above. */\n",
       "  (function() {\n",
       "    var img_id = \"_anim_img39fc9ac9ecc54c368c0d0e047c7673e6\";\n",
       "    var slider_id = \"_anim_slider39fc9ac9ecc54c368c0d0e047c7673e6\";\n",
       "    var loop_select_id = \"_anim_loop_select39fc9ac9ecc54c368c0d0e047c7673e6\";\n",
       "    var frames = new Array(29);\n",
       "    \n",
       "  frames[0] = \"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAArwAAAH0CAYAAADfWf7fAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90\\\n",
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       "fS0AuFgEXgB+65NPPtH+/fu1fPlyRUdHV/nccsstkqRmzZpp+fLl2rRpkzp37qzRo0froYce0nPP\\\n",
       "PXfO17rppps0Z84cvfjii4qNjdX777+v5OTk82pvo0aN9NFHH2nHjh3q0qWLfv3rX+vFF1+s8Zjy\\\n",
       "8nI9/vjjat++vQYMGKB27drp9ddft+5r+vTpevbZZxUVFaWxY8cqICBAKSkpyszMVGxsrJ588km9\\\n",
       "9NJL59VOSbr++uu1YsUKffnll7r11lsVHx+vf/7zn6pf//Ty7r/73e/029/+VsnJyWrfvr369++v\\\n",
       "jz76yJovDAB1yWYuZNIYAAC1rHXr1powYYImTJhQK+fbt2+fYmJitGXLFt100021ck4AVyZGeAEA\\\n",
       "l41nnnlGjRo1ktvtvqjzDBw4UDfeeGMttQrAlY4RXgDAZWH//v3WihbXXnvtOc+frs6hQ4esL/+1\\\n",
       "bNnS+gIfgKsTgRcAAAB+jSkNAAAA8GsEXgAAAPg1Ai8AAAD82v8HENWxTENYdTEAAAAASUVORK5C\\\n",
       "YII=\\\n",
       "\"\n",
       "\n",
       "\n",
       "    /* set a timeout to make sure all the above elements are created before\n",
       "       the object is initialized. */\n",
       "    setTimeout(function() {\n",
       "        anim39fc9ac9ecc54c368c0d0e047c7673e6 = new Animation(frames, img_id, slider_id, 100.0,\n",
       "                                 loop_select_id);\n",
       "    }, 0);\n",
       "  })()\n",
       "</script>\n"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "HTML(anim.to_jshtml())"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Running particles in backward time\n"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Running particles in backward time is extremely simple: just provide a `dt` < 0.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO: Output files are stored in EddyParticles_Bwd.zarr.\n",
      "100%|██████████| 518400.0/518400.0 [00:02<00:00, 176426.86it/s]\n"
     ]
    }
   ],
   "source": [
    "output_file = pset.ParticleFile(\n",
    "    name=\"EddyParticles_Bwd.zarr\",  # the file name\n",
    "    outputdt=timedelta(hours=1),  # the time step of the outputs\n",
    ")\n",
    "pset.execute(\n",
    "    AdvectionRK4,\n",
    "    dt=-timedelta(minutes=5),  # negative timestep for backward run\n",
    "    runtime=timedelta(days=6),  # the run time\n",
    "    output_file=output_file,\n",
    ")"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now print the particles again, and see that they (except for some round-off errors) returned to their original position\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "P[0](lon=329983.281250, lat=100495.609375, depth=0.000000, time=300.000000)\n",
      "P[1](lon=330289.968750, lat=280418.906250, depth=0.000000, time=300.000000)\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(pset)\n",
    "\n",
    "plt.pcolormesh(fieldset.U.grid.lon, fieldset.U.grid.lat, fieldset.U.data[0, :, :])\n",
    "plt.xlabel(\"Zonal distance [m]\")\n",
    "plt.ylabel(\"Meridional distance [m]\")\n",
    "plt.colorbar()\n",
    "\n",
    "plt.plot(pset.lon, pset.lat, \"ko\")\n",
    "plt.show()"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Adding a custom behaviour kernel\n"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "A key feature of Parcels is the ability to quickly create very simple kernels, and add them to the execution. Kernels are little snippets of code that are run during exection of the particles.\n"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In this example, we'll create a simple kernel where particles obtain an extra 2 m/s westward velocity after 1 day. Of course, this is not very realistic scenario, but it nicely illustrates the power of custom kernels.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "def WestVel(particle, fieldset, time):\n",
    "    if time > 86400:\n",
    "        uvel = -2.0\n",
    "        particle_dlon += uvel * particle.dt"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Note that in the Kernel above, we update `particle_dlon`, and not `particle.lon` directly. This is because of the particular way in which particle locations are updated; see also the [tutorial on the particle Kernel loop](https://docs.oceanparcels.org/en/latest/examples/tutorial_kernelloop.html)."
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now reset the `ParticleSet` again, and re-execute. Note that we have now changed the first argument of `pset.execute()` to be a list of `[AdvectionRK4, WestVel]`.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO: Output files are stored in EddyParticles_WestVel.zarr.\n",
      "100%|██████████| 172800.0/172800.0 [00:00<00:00, 179532.85it/s]\n"
     ]
    }
   ],
   "source": [
    "pset = ParticleSet.from_list(\n",
    "    fieldset=fieldset, pclass=JITParticle, lon=[3.3e5, 3.3e5], lat=[1e5, 2.8e5]\n",
    ")\n",
    "\n",
    "output_file = pset.ParticleFile(\n",
    "    name=\"EddyParticles_WestVel.zarr\", outputdt=timedelta(hours=1)\n",
    ")\n",
    "pset.execute(\n",
    "    [AdvectionRK4, WestVel],  # simply combine the Kernels in a list\n",
    "    runtime=timedelta(days=2),\n",
    "    dt=timedelta(minutes=5),\n",
    "    output_file=output_file,\n",
    ")"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "And now plot this new trajectory file\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ds = xr.open_zarr(\"EddyParticles_WestVel.zarr\")\n",
    "\n",
    "plt.plot(ds.lon.T, ds.lat.T, \".-\")\n",
    "plt.xlabel(\"Zonal distance [m]\")\n",
    "plt.ylabel(\"Meridional distance [m]\")\n",
    "plt.show()"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "## Reading in data from arbritrary NetCDF files\n"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In most cases, you will want to advect particles within pre-computed velocity fields. If these velocity fields are stored in NetCDF format, it is fairly easy to load them into the `FieldSet.from_netcdf()` function.\n"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The `examples` directory contains a set of [GlobCurrent](http://globcurrent.ifremer.fr/products-data/products-overview) files of the region around South Africa.\n"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "First, define the names of the files containing the zonal (U) and meridional (V) velocities. You can use wildcards (`*`) and the filenames for U and V can be the same (as in this case)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "example_dataset_folder = download_example_dataset(\"GlobCurrent_example_data\")\n",
    "\n",
    "filenames = {\n",
    "    \"U\": f\"{example_dataset_folder}/20*.nc\",\n",
    "    \"V\": f\"{example_dataset_folder}/20*.nc\",\n",
    "}"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Then, define a dictionary of the variables (`U` and `V`) and dimensions (`lon`, `lat` and `time`; note that in this case there is no `depth` because the GlobCurrent data is only for the surface of the ocean)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "variables = {\n",
    "    \"U\": \"eastward_eulerian_current_velocity\",\n",
    "    \"V\": \"northward_eulerian_current_velocity\",\n",
    "}\n",
    "dimensions = {\"lat\": \"lat\", \"lon\": \"lon\", \"time\": \"time\"}"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Finally, read in the fieldset using the `FieldSet.from_netcdf` function with the above-defined `filenames`, `variables` and `dimensions`\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "fieldset = FieldSet.from_netcdf(filenames, variables, dimensions)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now define a `ParticleSet`, in this case with 5 particle starting on a line between (28E, 33S) and (30E, 33S) using the `ParticleSet.from_line` constructor method\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "pset = ParticleSet.from_line(\n",
    "    fieldset=fieldset,\n",
    "    pclass=JITParticle,\n",
    "    size=5,  # releasing 5 particles\n",
    "    start=(28, -33),  # releasing on a line: the start longitude and latitude\n",
    "    finish=(30, -33),  # releasing on a line: the end longitude and latitude\n",
    ")"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "And finally execute the `ParticleSet` for 10 days using 4th order Runge-Kutta\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO: Output files are stored in GlobCurrentParticles.zarr.\n",
      "100%|██████████| 864000.0/864000.0 [00:00<00:00, 1072517.72it/s]\n"
     ]
    }
   ],
   "source": [
    "output_file = pset.ParticleFile(\n",
    "    name=\"GlobCurrentParticles.zarr\", outputdt=timedelta(hours=6)\n",
    ")\n",
    "pset.execute(\n",
    "    AdvectionRK4,\n",
    "    runtime=timedelta(days=10),\n",
    "    dt=timedelta(minutes=5),\n",
    "    output_file=output_file,\n",
    ")"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Because the GlobCurrent data represents the 'real' ocean, we can use the [trajan](https://opendrift.github.io/trajan/index.html) package to visualize this simulation. Use `ds.traj.plot()` to plot the trajectories\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1100x878.614 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ds = xr.open_zarr(\"GlobCurrentParticles.zarr\")\n",
    "ds.traj.plot(margin=2)\n",
    "plt.show()"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Sampling a Field with Particles\n"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "One typical use case of particle simulations is to sample a Field (such as temperature, vorticity or sea surface hight) along a particle trajectory. In Parcels, this is very easy to do, with a custom Kernel.\n"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's read in another example, the flow around a Peninsula (see [Fig 2.2.3 in this document](http://archimer.ifremer.fr/doc/00157/26792/24888.pdf)), and this time also load the Pressure (`P`) field, using `extra_fields={'P': 'P'}`. Note that, because this flow does not depend on time, we need to set `allow_time_extrapolation=True` when reading in the fieldset.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "example_dataset_folder = download_example_dataset(\"Peninsula_data\")\n",
    "fieldset = FieldSet.from_parcels(\n",
    "    f\"{example_dataset_folder}/peninsula\",\n",
    "    extra_fields={\"P\": \"P\"},\n",
    "    allow_time_extrapolation=True,\n",
    ")"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now define a new `Particle` class that has an extra `Variable`: the pressure. This `particle.p` can be used to store the values of the `fieldset.P` field at the particle locations.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "SampleParticle = JITParticle.add_variable(\"p\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<div class=\"alert alert-info\">\n",
    "\n",
    "Note that if you get a `AttributeError: type object 'JITParticle' has no attribute 'add_variables'` error, you are probably using an old version of Parcels. Please update to the latest version of Parcels using `conda update -c conda-forge parcels`.\n",
    "\n",
    "Alternatively, you can refer to the <a href=\"https://docs.oceanparcels.org/en/v3.0.1/documentation.html\">Parcels v3.0.1 documentation</a>, which does not use the new `ParticleSet.add_variables()` method introduced in Parcels v3.0.2.\n",
    "\n",
    "</div>"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now define a `ParticleSet` using the `from_line` method also used above in the GlobCurrent data. Plot the `pset` on top of a contour plot of the `P` field\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "pset = ParticleSet.from_line(\n",
    "    fieldset=fieldset,\n",
    "    pclass=SampleParticle,\n",
    "    start=(3000, 3000),\n",
    "    finish=(3000, 46000),\n",
    "    size=5,\n",
    "    time=0,\n",
    ")\n",
    "\n",
    "plt.contourf(fieldset.P.grid.lon, fieldset.P.grid.lat, fieldset.P.data[0, :, :])\n",
    "plt.xlabel(\"Zonal distance [m]\")\n",
    "plt.ylabel(\"Meridional distance [m]\")\n",
    "plt.colorbar()\n",
    "\n",
    "plt.plot(pset.lon, pset.lat, \"ko\")\n",
    "plt.show()"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now create a custom function that samples the `fieldset.P` field at the particle location.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "def SampleP(particle, fieldset, time):\n",
    "    \"\"\"Custom function that samples fieldset.P at particle location\"\"\"\n",
    "    particle.p = fieldset.P[time, particle.depth, particle.lat, particle.lon]"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now, execute the `pset` with a combination of the `AdvectionRK4` and `SampleP` kernels\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO: Output files are stored in PeninsulaPressure.zarr.\n",
      "100%|██████████| 72000.0/72000.0 [00:00<00:00, 143717.52it/s]\n"
     ]
    }
   ],
   "source": [
    "output_file = pset.ParticleFile(\n",
    "    name=\"PeninsulaPressure.zarr\", outputdt=timedelta(hours=1)\n",
    ")\n",
    "pset.execute(\n",
    "    [AdvectionRK4, SampleP],  # list of kernels to be executed\n",
    "    runtime=timedelta(hours=20),\n",
    "    dt=timedelta(minutes=5),\n",
    "    output_file=output_file,\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now, plot the particle trajectories on top of the `P` field, colored by the sampled pressure. As you can see, the dots with black edges are the same color as the background pressure field, which means that the sampling worked!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ds = xr.open_zarr(\"PeninsulaPressure.zarr\")\n",
    "\n",
    "plt.contourf(fieldset.P.grid.lon, fieldset.P.grid.lat, fieldset.P.data[0, :, :])\n",
    "plt.xlabel(\"Zonal distance [m]\")\n",
    "plt.ylabel(\"Meridional distance [m]\")\n",
    "plt.colorbar()\n",
    "\n",
    "plt.scatter(ds.lon, ds.lat, c=ds.p, s=30, cmap=\"viridis\", edgecolors=\"k\")\n",
    "plt.show()"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "And see that these pressure values `p` are (within roundoff errors) the same as the pressure values before the execution of the kernels. The particles thus stay on isobars!\n"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Calculating distance travelled\n"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "As a second example of what custom kernels can do, we will now show how to create a kernel that logs the total distance that particles have travelled.\n"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "First, we need to add three extra variables to the Particle Class. The `distance` variable will be written to output, but the auxiliary variables `prev_lon` and `prev_lat` won't be written to output (can be controlled using the `to_write` keyword)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [],
   "source": [
    "extra_vars = [\n",
    "    Variable(\"distance\", initial=0.0, dtype=np.float32),\n",
    "    Variable(\"prev_lon\", dtype=np.float32, to_write=False, initial=attrgetter(\"lon\")),\n",
    "    Variable(\"prev_lat\", dtype=np.float32, to_write=False, initial=attrgetter(\"lat\")),\n",
    "]\n",
    "\n",
    "DistParticle = JITParticle.add_variables(extra_vars)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now define a new function `TotalDistance` that calculates the sum of Euclidean distances between the old and new locations in each RK4 step\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [],
   "source": [
    "def TotalDistance(particle, fieldset, time):\n",
    "    \"\"\"Calculate the distance in latitudinal direction\n",
    "    (using 1.11e2 kilometer per degree latitude)\"\"\"\n",
    "    lat_dist = (particle.lat - particle.prev_lat) * 1.11e2\n",
    "    lon_dist = (\n",
    "        (particle.lon - particle.prev_lon)\n",
    "        * 1.11e2\n",
    "        * math.cos(particle.lat * math.pi / 180)\n",
    "    )\n",
    "    # Calculate the total Euclidean distance travelled by the particle\n",
    "    particle.distance += math.sqrt(math.pow(lon_dist, 2) + math.pow(lat_dist, 2))\n",
    "\n",
    "    # Set the stored values for next iteration\n",
    "    particle.prev_lon = particle.lon\n",
    "    particle.prev_lat = particle.lat"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "_Note:_ here it is assumed that the latitude and longitude are measured in degrees North and East, respectively. However, some datasets (e.g. the `MovingEddies` used above) give them measured in (kilo)meters, in which case we must _not_ include the factor `1.11e2`.\n"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We will run the `TotalDistance` function on a `ParticleSet` containing the five particles within the `GlobCurrent` fieldset from above. Note that `pclass=DistParticle` in this case.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [],
   "source": [
    "example_dataset_folder = download_example_dataset(\"GlobCurrent_example_data\")\n",
    "filenames = {\n",
    "    \"U\": f\"{example_dataset_folder}/20*.nc\",\n",
    "    \"V\": f\"{example_dataset_folder}/20*.nc\",\n",
    "}\n",
    "variables = {\n",
    "    \"U\": \"eastward_eulerian_current_velocity\",\n",
    "    \"V\": \"northward_eulerian_current_velocity\",\n",
    "}\n",
    "dimensions = {\"lat\": \"lat\", \"lon\": \"lon\", \"time\": \"time\"}\n",
    "fieldset = FieldSet.from_netcdf(filenames, variables, dimensions)\n",
    "pset = ParticleSet.from_line(\n",
    "    fieldset=fieldset, pclass=DistParticle, size=5, start=(28, -33), finish=(30, -33)\n",
    ")"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Again define a new kernel to include the function written above and execute the `ParticleSet`.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO: Output files are stored in GlobCurrentParticles_Dist.zarr.\n",
      "100%|██████████| 518400.0/518400.0 [00:03<00:00, 136275.28it/s]\n"
     ]
    }
   ],
   "source": [
    "pset.execute(\n",
    "    [AdvectionRK4, TotalDistance],  # list of kernels to be executed\n",
    "    runtime=timedelta(days=6),\n",
    "    dt=timedelta(minutes=5),\n",
    "    output_file=pset.ParticleFile(\n",
    "        name=\"GlobCurrentParticles_Dist.zarr\", outputdt=timedelta(hours=1)\n",
    "    ),\n",
    ")"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "And finally print the distance in km that each particle has travelled (note that this is also stored in the `EddyParticles_Dist.zarr` file)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[13.197482, 640.92773, 543.45953, 183.60716, 172.74182]\n"
     ]
    }
   ],
   "source": [
    "print([p.distance for p in pset])"
   ]
  }
 ],
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