{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "f45647d6-3fc6-46d9-a2e9-ebaf7667f442",
   "metadata": {},
   "source": [
    "# Interpolating Between Molecules by Manipulating MolMIM Hidden States\n",
    "\n",
    "```{note}\n",
    "This notebook assumes that you have the MolMIM NIM available at the following address: `http://localhost:8000`. If your container is available at different address, you will need to modify the URL below.\n",
    "```\n",
    "\n",
    "Molecular interpolation is a technique that enables the creation of novel molecular structures by interpolating between existing molecules. This is achieved by training a generative AI model on a dataset of molecules and then using the model to generate new molecules that are a combination of the characteristics of two or more existing molecules.\n",
    "\n",
    "In the context of drug discovery, molecular interpolation can be a powerful tool for identifying new potential drug candidates. By interpolating between two molecules that have similar properties but differ in their chemical structure, researchers can generate new molecules that retain the desirable properties of the original molecules while introducing novel features that may enhance their efficacy or reduce their toxicity.\n",
    "\n",
    "In this notebook, we will be using the MolMIM NIM to interpolate between two JAK inhibitors, momelotinib and gandotinib. JAK inhibitors are a class of molecules that have shown promise in the treatment of various diseases, including cancer and autoimmune disorders. By interpolating between momelotinib and gandotinib, we can generate new molecules that may combine the beneficial properties of both molecules, such as improved potency, selectivity, and pharmacokinetic profiles.\n",
    "\n",
    "We will directly manipulate the hidden states of the two JAK inhibtors to generate the interpolated hidden states, then pass these modified hidden states to the model's decoder to translate them back to SMILES strings.\n",
    "\n",
    "We start by importing the necessary libraries."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "d0e03d31-4be3-490f-b381-cee760a1c83d",
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "import requests\n",
    "import json\n",
    "import numpy as np\n",
    "from rdkit import Chem\n",
    "from rdkit.Chem import Draw\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0eef0fec-ba4d-4b0a-8f17-57524d3ef311",
   "metadata": {},
   "source": [
    "The block below sets up the URL and headers for the request to retrieve the hidden states from the MolMIM model. It also defines the starting endpoint molecules `momelotinib` and `gandotinib` as SMILES strings."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "0f1994d2-516b-4370-9011-8997980a414f",
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "# Send the request to retrieve the hidden states\n",
    "url = \"http://localhost:8000/hidden\"\n",
    "headers = {\n",
    "    'accept': 'application/json',\n",
    "    'Content-Type': 'application/json'\n",
    "}\n",
    "\n",
    "# Specify the starting endpoint molecules\n",
    "momelotinib = Chem.CanonSmiles(\"C1COCCN1C2=CC=C(C=C2)NC3=NC=CC(=N3)C4=CC=C(C=C4)C(=O)NCC#N\")\n",
    "gandotinib = Chem.CanonSmiles(\"C12C(=CC(=NN1C(=C(N=2)C)CC1C(=CC(=CC=1)Cl)F)NC1=NNC(=C1)C)CN1CCOCC1\")\n",
    "\n",
    "data = {\n",
    "    \"sequences\": [momelotinib, gandotinib]\n",
    "}"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f38559c3-87b8-4ad2-8719-8ea7278dffa1",
   "metadata": {},
   "source": [
    "The following block sends the request to the MolMIM model using the `requests` library, and extract the response as a JSON object. It then extracts the \"hiddens\" key from the JSON object, converts it to a NumPy array, and squeezes any singleton dimensions from the array. It also extracts the first and second rows from the array, which will be used for interpolation."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "f4aa885d-0120-424d-9601-8f073f298180",
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "# Get the response from the server\n",
    "response = requests.post(url, headers=headers, json=data)\n",
    "\n",
    "# Convert the response to a JSON object\n",
    "response_json = response.json()\n",
    "\n",
    "# Extract the \"hiddens\" key from the JSON object\n",
    "hiddens = response_json[\"hiddens\"]\n",
    "\n",
    "# Convert the \"hiddens\" array to a NumPy array\n",
    "hiddens_array = np.array(hiddens)\n",
    "\n",
    "# Squeeze any singleton dimensions from the array\n",
    "hiddens_array = np.squeeze(hiddens_array)\n",
    "\n",
    "# Extract the first and second rows from the array\n",
    "row1 = hiddens_array[0]\n",
    "row2 = hiddens_array[1]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "252213a1-0528-40e5-be93-172ab581995f",
   "metadata": {},
   "source": [
    "The next block defines the number of interpolated molecules `n_interp` and creates an empty list `interpolated_rows` to store the interpolated vectors. It then loops through the range `n_interp` and calculates the interpolated vectors by linearly interpolating between the first and second rows. We convert the interpolated vectors to a NumPy array and expand the dimensions to match the expected input format for the decoder."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "a6288834-1bcb-44f0-9542-a09108431a9c",
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "# Specify the number of interpolated molecules\n",
    "n_interp = 50\n",
    "\n",
    "# Generate 10 vectors that interpolate between the two rows\n",
    "interpolated_rows = []\n",
    "for i in range(n_interp):\n",
    "    t = i / (n_interp - 1)\n",
    "    interpolated_row = (1 - t) * row1 + t * row2\n",
    "    interpolated_rows.append(interpolated_row)\n",
    "\n",
    "\n",
    "# Convert interpolated vectors to array\n",
    "interpolated_hiddens = np.expand_dims(np.array(interpolated_rows), axis=1)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ac14036b-dafd-4114-8c1a-fc30befdf061",
   "metadata": {},
   "source": [
    "The following blocks packages the interpolated hidden states into a JSON object and sends a request to the MolMIM model to decode the interpolated hidden states to SMILES strings. It then deduplicates the list of generated molecules using a dictionary, and adds the starting molecules `momelotinib` and `gandotinib` to the ends of the list. We also create a list of legends for the molecules."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "7d8942e7-db1b-42d1-b1bd-077718e77691",
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "# Package array into JSON object\n",
    "interpolated_hiddens_json = {\"hiddens\": interpolated_hiddens.tolist(), \"mask\": [[True] for i in range(n_interp)]}\n",
    "\n",
    "# Decode interpolated hidden states to SMILES strings\n",
    "response = requests.post('http://localhost:8000/decode', \n",
    "                         headers={'accept': 'application/json', 'Content-Type': 'application/json'}, \n",
    "                         json=interpolated_hiddens_json)\n",
    "\n",
    "# Deduplicate the list of generated molecules\n",
    "molecules = [momelotinib] + list(dict.fromkeys(response.json()['generated'])) + [gandotinib]\n",
    "\n",
    "# Create legends\n",
    "legends = ['momelotinib'] + [f'Interpolated Molecule #{i+1}' for i in range(len(molecules) - 2)] + ['gandotinib']"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8f012ce3-905c-42eb-bcc7-d8f38063e9b6",
   "metadata": {},
   "source": [
    "In this chunk, we use the `Draw` module from RDKit to create a grid image of the molecules, with the legends and molecule names. In the output image, you can can see how the intermediate molecules share properties of each parent molecule, with either end of the spectrum being closer to respective starting molecule."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "7db2bbcb-f778-4699-abbc-989197d9003b",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
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08/MTpnbv3LmzatWqRLR9+/a8x7lzh4m4enWRh9erFxPxnj2spcUSCav4/QAgR0JCgqampkwmi42NVSZOUhJbWjIRT5ggzsBsbGzym5tQYPCE8Fvx9i3166cRG3tg3rygixcvXr58uWrVqps3b87j4SVLlmzQoEFqauqNGzeaNm368uXL3bt3q260ISEhlStXXrBggY2NTfny5XV0dKpWrdqqVat+/frNnDlz48aNR44cuXbt2tu3b1U3BgBxIQcBihZdXd1Zs2YR0dy5c2fPnk1E8+fPnzNnjra2dkJCQt7jWFqSREJRUZSdLebwqlYlIvrnH6pcmZjpn3/EDA7wOT4+PpmZmX369DE1NVUmjoEB7d1L2tr066+0c6eyo7p48eK1a9fKly/v4OCgbCxQhcKuSCHHoEFMxHXr8sGDf0skEi0tratXr+YrwokTJ4jIxMTE19eXiOrUqSOXy1Ux1Hfv3tWqVYuI9PX169WrZ2ho+IVfsIoVKzZu3LhPnz6TJk1avnz5nDlzMjIyVDEqACUhBwGKnIyMDOGR4NatW4XOGZ6engo8GDEyYiKOihJzbFu3njQ3b+/qOnbUqEft2p0LCrotZnSAT8nIyBAem585c0aUgGvXso5Oqq3thPv37ysTZ8CAAUQ0e/ZsUUYFopOJVFeCUjZtoh07SF+fvLzIwcG6RYuo/v1PNm7cOF9BOnfuXLdu3Tt37mhpaZmYmISFhZ09e7Zdu3aij3bcuHF3796tXbv2lStXgoKC3rx5U7FiRW1t7fT09BcvXrzffTE6Ovrp06dPnz4NDQ3NPfzQoUN37twRfVQAykAOAhRFmpqa8+fPd3FxWbRokXCnIzk5WYEHI1Wr0uPH9OgRVa4s2tiMjeUxMacjIsjaetWZM949e67q1q2uaNEBPsXf3z8+Pr527dpt2rQRJeC4cfT33wvXr//V0fHspUuXdHV1FQjy7Nkzf39/DQ2NkSNHijKqvHB0dLx3797gwYN//PHHAjtpEVbYFSlwWBjr6TER//Ybf/cdE7GdHSv2XGHdunVE1KpVqwULFhBRnz59xB4sC7PgSpQo8ffffzNzy5Yt3/91MjQ0tLa2trW1dXV19fDw+O233/bu3bt///49e/asXLlywIABUqlUIpGEi9jKDUBpyEGAois7O3vMmDFjx44lIgsLi6SkJAWC/PADE/HGjWIOLCIigojMzc1XrVpFROPGjRMzOsCntGrViog2bNggYsy3b98Kc1KGDx+uWISFCxcSUd++fUUc1Zft3bs392NxwIAB7969K7BTF1EoCAvZu3dsbc1EPGIET5/ORGxmxs+fKxgtOTm5TJkyRHTixAkdHR0NDY1IMRsG84MHD0qWLElE27ZtE76zevXqwYMHt2/f3srKSltb+3P3HbS0tGrXrs3Mwmf2mDFjRBzVJ0RG8pQpPGECBwaq9kRQ9CEHVQI5CHn25MmTpUuX1q1bd/jw4ZmZmQpEePDgga6urkQiOXXqlGJjWLiQidjNTbGjPy0zM1Mmk0ml0v379xNR165dxYwO8JGbN28SUcmSJd+8eSNu5Dt37ujp6b3/0fM5mZmZ//zzz+nTp7dt2+bu7j548ODWrVtraGgQkcLpmV/37t0rVaoUEf3www+lS5cmopo1awq3UOFzUBAWstRUnjiRa9fmgwdZImGZjP/8U6mA06dPJ6LBgwcPHjyYiKZPny7SSDk1NbVBgwZE5Ozs/LnXvHz5MjQ0NCAgwMfHx83NzdHRsWXLlpaWllKptGbNmsx8//59qVSqp6f34sULsQb2oexs7tqVnz9nuZyHDOHbWLYBX4IcFB9yEPIgOjray8vL1tZWJvtv9Uq/fv0U2DnN1taWiIYOHarwYPz83jZocHrSJJEvWKtUqUJEgYGBRFStWjVxgwN8QJiQOWnSJFUE37JlCxHp6OjcvHlT+I7wcePn5+fh4eHq6mpra2tpafl+Or+vRYsWKlpU/4G3b99aW1sTUf/+/Zn5/v37derUEepkPz+/AhhAEYWCsHBMnMghIczMq1dzQgK/eMFVqjARL1+ubOSoqCgNDQ0tLa2TJ08SkYGBgVgPyoU3mmrVqilw5yk1NTU+Pl74ukuXLkTk6ekpyqg+IS6OR43K+fr4cf7lF1WdCIoy5CByEArF3bt3lyxZIjSgF+jo6PTo0aNPnz7CTf0OHTq8fv067wF/++03IipbtuyzZ88UHtWlS5eIqGHDhgpH+CShUj148KBEItHU1MzKyhI3PkCupKSkEiVKSCSSe/fuqegUQ4YMISJtbe0qVapoamp+svCTSqWmpqatWrVycXGZO3fuli1bQkJC/vrrrwL75e/Xrx8R1alTJ/eT9+3bt87OzkQkkUgO//wzKzQNodhDQVg4+vVje3tOTeVp03Lamt2/z1OnKrhs6QN9+vQhogULFgiLi9avX698TGE2to6Ozo0bN5QMJdwrrVy5sqreHV684EGDcr7ev583b1bJWaCIQw4iB6EghYWFubu7v18H6urq2tnZ+fr65pZ/t2/fNjY2JqLGjRs/ffo0L2GfP39evnx5Unpzs8TERCIqVaqUMkE+5unp6eLicvnyZeHf9c8//4gbHyDXypUriahLly6qO0VycrIwS0VgaGhoY2Pj6Ojo5ubm4+MTEBAQGhpauKv1hPW6JUuW/HidvI+PT9uGDdO1tLh1a05IKJThfctQEBYOZ2c+fZrnz//vYlREp0+fJiIjI6OdO3cSUa1atZR8TB8RESHcuPXx8VF+eHK5vEaNGkR04MAB5aP9n+fPWXgnGjiQg4L49m3u3p2VuGcMxRhyEDkIqpadnR0aGuru7l69evX3LyJdXFz8/Pw+eeEYGRlZrVo1IrK0tIyIiPjqKVxcXIioffv2ys9GMzAwIKLExEQl43wsJiamYsWK5cqVs7a29vHxScYW9SA2uVwuZFlAQIBKT5Senr59+/br16+npaWp9EQKuHjxopaWlkQi2b9//ydfkH3hApuYMBEbGfH58wU8vG8cCsLCIawAGj6c7e3Fvxhl5vr16xORr6+vmZkZEZ08eVLhUGlpaY0aNSIiR0dHsYa3Zs0a4SNcrIDMzNnZ3Lkz16rF9+5xRgbv2sXr13NcnJingGIEOYgcBNU5fPhwjx49jIyMcutAIyOjMWPGBAcHf7VtzJMnT4Rf+EqVKn35efjp06clEomuru7Dhw+VH7Nw0kuXLikf6n1Hjx4VGk0JPTmIqEyZMlOnTlVyVzeA9wUFBal23sc378mTJ8IGjG5f7g2VmMidOjERy2Ts4SHOpKBiAQVh4RAuRh8/ZgMDlVyMbt68mYhsbGx+/vlnIrKzs1M41Lhx44ioatWqr169Emt4b968Efo+5S5NFsGSJUzE5ctzSAhv2iRaWCimkIPIQVCRiIgIoReucIU6ceLEvNSB73v79m3nzp2JSF9f/3M3U9LS0oQH3UuXLhVl2I6OjkS0c+dOZl64cOG6deuUbNUol8s9PDykUqnwDvD48WM/Pz9hVaGgZcuWfn5+wvaJAAp78eJF+/btiWjZsmWFPZbCkZmZ2bZtWyJq167d199qMjN5xgyWSJiIHR05/12siiXxC8KkpKQtW7bExcVlZ2eLHrzYyO26d/w4Hz0qfvy0tLQKFSoQ0YkTJ/T09CQSyW2FGv0FBARIJBJtbe1r166JO8JJkyYR0YgRI8QJ99dfrKnJUikfOsS1ajGROi9bQg7mBXIQOQgqsm/fPiKqUKHC9evXFQ6Snp7u5OQkdLDYu3fvxy/46aefhNYRYhVUM2fOJKKFCxcmJSUJT/NKlizp6uqq2L/i+fPnXbt2JSINDQ13d/f3341DQ0NdXV319fWFsrBSpUpubm5YXgjMvH49C82//P05JeXDv331im/e5ICAU15eXpMmTerZs2e9evWE1QSGhoba2tpq+1s0bdo0IZUS8r44MCCADQx4wABOT2dPTx43jjdsYDW+ahK5IAwPDxee2H6w3nTixIkeHh5+fn6hoaG5ne7g1i2WStnEhFVxf/Dnn3+eOnVqTExMp06dhA+eD3as9vX1DQ4OfvTo0ecmGERHRwsTXX799VfRhxcRESGVSrW1tfPYOeBLXr7kypWZiH/6iQcPZiKuXZvVdZEGcjBfkIPIQRCdsPPK/PnzlYwjl8unTp0q1FQfdGa6c+eOpqamVCr9U8ldYt7j6uoqkUjMzMx27ty5c+fOdu3aSSQS4Y20efPmvr6+qampeQx17do1YcOJcuXKfe4J5+vXr318fOrVqyecQiqV2tra+vn5qe2UP2Dm779nYe/3kSP5yhVes4anTOE+fbhhQzY0ZCIm4jp1RtL/K1mypKGhIRE5OTkV9r+gEBw6dEjo4nvu3Ln8HRkRwcnJPGMGnzjBzLx5M69Zo4oRFgliFoQpKSl169YVJsobGRnlvpN+rFSpUnXq1Pn+++9Hjx69ZMmSrVu3btu2rWD2J/nW1KvHRLxrl6riR0ZGli5dWiqVfq5BsHD/1crKqn379oMHD543b96mTZuOHz9+69atZs2aEVGPHj1U9KOxs7Mjop9//lmpKHI59+rFRNysGW/ezERcogSr6/ajyEEFIAeRgyCu1q1bE9GxY8dEiebh4SG8leUuDcrOzhb6944bN06UU2RkZAgPzHV0dISUrFSp0qxZs06fPu3m5la2bFnhm6VLl3Z1db1z586Xo/n6+urq6hJR48aNo/IwH114YCgcQkQmJibu7u4i3KaBIsjZmZct42PHeORIXrcupwLM/a9ECa5dm0eP3jV+/PgVK1b4+fkFBgYeOXLkxo0buY3HvL29C/sfUaAePHggLH9Yo3At9/33OV9kZnLPnmINrMgRsyD8YI+s9PT0+Pj43D0rJ06c6OjoaGNjI/zkPubg4CDiYIoKHx8m4ubNVRI8IyOjRYsWuReUX9ix+pM/EV1dXVNT06SkJGZWxT1LYZc2ExMTZSb83PbxYQ0NLluWz5zhkiWZiH/7TcRBFi3IQQUgB5GDIKLMzExhM7Tnz5+LFXPbtm3CbtfDhg3LzMz09vYmIiMjIyE1lBQXFyeUlzKZbMGCBT4+PkJHKPr3qd3OnTt3796dl7V/qampI0aMEF7j6uqanp+1SU+fPvXw8LC0tBQO19LSql+/vmLzzKHocnbm9HTu0YMHD+Y//+QxY3jZMt6zhwMD+cgR/v13Xr06YdiwYR06dLC0tMy9yeji4sL/bk2kra199erVwv53FJB3797Vrl2blHw0mlsQpqSwvb0oAyuKRCsI87VH1osXL27evBkQEPDrr7/OmDGjY8eOwtNeNZzJlpLCZcsyEV++LH7wKVOmEJG5ufmLFy++OIaUe/fuBQcHb9261d3dfejQoba2tsbGxlKptH379rdu3erUqdOo3G2mRSU8zvrk+pC8uHTpkqam5pSGDTMPHOD69ZmI+/cXd4RFCHJQMchB5CCI6Nq1a0RUvXp1ccMePnxYeIbWtWtX4ZaWv7+/8mHPnj1bqVIlIjI1Nb148WLu94Wndrl9QY2Njd3c3I4ePTpixIgSJUoI3zQyMpozZ07uPNKoqKgmTZoI93G2bt2q2Hiys7ODg4MdHR01NDQkEkmTJk2U/zdCESJ0O/vjD9bX56gotrVlKyvW0vrvIWH16qm5NyYkEomxsXHLli0XL14sHC50IDM3Nxfxdsy3bPDgwURUo0aN3L1MFbF6NXt5cUICz5zJ+/aJN7oiRpyCMPdR9caNGxWLIKwdnzNnjijjKVrc3JiIBw4UOezRo0eFS/z3P+Ty7tmzZzo6OlKpNCQkRCqV6unpqeL9Zd26dcLdVgWOTUpKEhZpTJs2bcGkSYk2NlyrFhfqjqiFCDmoDOQgchDEIvxGDR48WPTIZ8+eFbYKJKJmzZop+cxcLmcvr63Cg8dOnTp9cvvBpKQkHx8fa2tr4aQaGhp2dnaHDx/esGGDsPbPyspKmM595MgRYRFXtWrVRHmsd+7cOSLS19dXPhQUFSkp/7XiWruW3+KHYOUAACAASURBVL5lTc2cOrBSJW7enJ2dee7c9A0bNpw4ceL+/fsf7wSYOyfFzs6uqKwBefOGb91iZs7O5rCwz77syZMnly5d2r1799KlS0eNGtWlS5cqVapoa2vr6OjcvXtXwXOnpLCwCDkwkH/+mc+cUTBOsSBGQZia2qN1ayJyFu5sKOTChQtEVL58+bwv2lbY27dvVX2KfImLY01N1tQUc7+u6Oh4YdnDypUrFQ7yww8/CJd63bp1I9W0M05OThZ6Zly5ciW/x/bp04eImjRp8vvvvxNRyRIlnn/hvaR4Qw4qBzmIHASxuLn5WFhUW7t2rSqCX716VVtbW1hSaGRk5ObmFh0drUCcN2/YwYEtLO6XKlXazc3ty7WlXC4XntrlztCrVq2ah4dHQEBAUFBQVlaWu7u7MOu7Z8+eosxiFQgVJhYTqo/161lPj9//xPjjDw4P53x9JkdHRwsfPStWrBB9hKpw7RpXqMAxMZySwi4u/PIlh4ZyQAD7+LCbGzs6so0Nt2hx9pOrKoT74CNGjFDwumXoUJbJ0BBbIEZBOG5cppnZT507K/XEllmYa7Ft2zYRhvQZb9++FW71GRgYfLLXX742ShLRiBGxbdtOX7xYnOzNzOTWreVt23rY2SnVi+L69evC/6sDBw4IkxBE/P+za9eulStXyuXy0aNHC3VIly5dRowYsWDBgt9++y0kJCQiIuLju1+5hG21DQwMTp8+reSTseIAOag05CByEERRowYTcWioSoKfP3+eiExMTKpXry5cEWpqatrb2wcHB+c90W7d4mrVmIgNDfn48Wd5P3tcXNz8+fNz2zjr6up27969Vq1aRCSTyTw9PcV9JmNjY0NEis0vgKKobl0m4j17lI1z5MgRiUQik8nOnz8vxrhU69o1njyZBw3KKQhr1/6wlQ4RGxvHlC1b1sbGxt7eftq0aWvXrg0MDAwLC9uyZYswr7thw4aPHj3K34mF/gG6uqzE7jjFidIF4f79TMTa2qz0Hlm+vr5E1KBBA2WH9HlCG7Ev0NTUtLCwaN26tYuLy6xZs9avXx8YGHjnzp18bGyiEGFyiFgPZ2bOZCI2M+MXL5T9cGrVqhUReXt716xZk4j279+v/PCY+f79+8K2xYGBgc2bN9fS0vrcT+STbfoPHz6sra1NRHv27GnUqBER9evXT5SBFUnIQTEgB5GDoLykJJZKWUdHJfu4MPOKFSuIaPTo0XK5/NSpUw4ODrlP7Xr1ilqxgr86q3rHDi5Rgom4QQN++FCRMby/zI+IJBKJoaHhqVOnFIn1Rf369SOi7du3ix4ZvkGnTzMRGxmJkzvC1i+mpqbPnuXjlkehuHaNly1jT0/282MXFx4wgBs25D59eMoUXrOGAwL49m1+8+azh9+8edPKyoqISpcuffDgwbye9cYN1tVFC7T3KVcQRkdzmTJMxGJMDklPTxfWdud7I5G8yV3PExwc/PLly7CwsODgYKHXn4uLi62traWlpfD+/knKTMbLi8aNGxORr6+vknGOHWOplGUyFuXGkJ+fHxFVr179119/JaI2bdooHzMtLa1hw4bCFeTcuXOJqEKFCmfOnDl69OiGDRtmz57t4uLSpk2bKlWqfOEilYj09PR69+5NRFZWVko+GSvCkIPiQQ4iB4u9J0+eeHp63rx5U0Xxjx9nIlZoRWqeODo60v/PYkhISFi0aFHjxn00NHLujDk6cnDwJ47NzMxZLUzELi4ibJP58OHDtm3bOjs756WPlwJmzZpFYmznCEWCgwMTsVg/7czMTGH3l44dO37jO1sKBWFGBtvZsYuLIhFev35tb28v3J356gxwZuaXL7lKFSbi8eMVOV8xpURBmJHBLVowkYhNWj08vNu2Xe3i8kqsgLliY2PLlStHRCtWrJg0adLfn9kjKy0t7eHDh3/88Yevr+/ChQtHjhzZtWvX3KkpnztKFNu2bSOiRo0aCX88d+5caGhofhcPPHnClSoxES9dKs6osrKyLCwsiCggIEBYz6B8O+MxY8YIV5BHjx7V0NCQSqVfuLf6uTb9wnQIItLW1r6m9JOxogo5KCrk4CchB4uB58+f+/r62tnZCc91pVKpijYrW7CAiXjqVFXEZmY2NzcnovDw8A++n53NwcHs6MgyWU7JV6sWe3jw6dO8aRMzc0ICL1mS8/RS+M63b8uWLfTvjgJQvMXHi7+OPTY2tnz58kS0aNEi0YKqwN27LNyGPXeO585VMIhcLvfy8hI+ktq3b/+FD255djZ37Zqz2VR+NoYp9pQoCKdMYSI2N+cvtlPPl4QE1tJiDQ3+5x+xQjIzZ2ZmCrsMde/effny5URkbm6erw2Chg4dSuLtgftJaWlpFStWJKILFy4wc+5mRDo6OjVq1LC1tR06dOjChVlbtnBwMN+7xykpH0bIzuaOHZmIu3bl7GzRBrZ06VIi+v7774UG+kOHDlUm2r59+4QryODgYCMjIyJasGCBAnFiY2OF3t8//fSTMuMp2pCDokIO5gty8NsXExOzZs2atm3b5j5419DQEBZ8SqXS1atXi37G7t2ZiBXdxOQrEhISiKh06dLZn8+uuDj28GBT05yycMECrlWLw8L477953jxes0b5mfUF5+zZC6amrZydi0ZrEFDGnDlMxKJPggkJCRFu+Z08eVLk0OJxcuKJE1mU3klnzpwRZjmZmZldunTpk6+ZN2/eupYt5aamIl/lFH2KFoTp6dy2LWtpib5118CBTMRubmLGdHNzIyJTU9OTJ09qaWlJJJJDhw7l8dhDhw516NAhJCREIpHo6+u/eiX+k5Ncc+bMoX+X4tjb2zdo0EBoFSXQ1zf6YJVt+fL/bafJzOfOsUzGxsbi5FWuly9f6unpSSQS4Z1FW1v7yZMnioWKiooS+hmuXbu2U6dORNSuXTuFJzNMnjyZiIYNG6bY4UUeclAFkIP5ou45+K2KjIz08vJq2bKl0I2TiGQyWcuWLb28vB4/fszMa9asEbpiTpw4UcQ+KHI5lyvHRKxQ48+vO3jwIBF16tTpq69MT+fdu9nFhfft440b2d6ew8J43jyVjEp1YmOZiCtWLOxxgIqlp6fb2f1SunSSKtZqCIsCKlas+G1uMhwRwVIp6+pyUBB36sQnTigbMC4u7rvvvhNuenp5eX3wt0FBQVKpVEND43xIiLJnKnbyWRBmZfH27bxkCV++zJmZfOGC6AMKDc3p/SXWXlbHjh2TSqUymezYsWPCllnTp0/P++EDBw4kopkzZ9ra2hLRqlWrxBnWp8THx8tkMm1t7bZt2/7www/z5s3bvHnz4cOHjxw5EhAQ8Ntvh+bN48GDuX17trJibW0m4latODCQhQ/0ixf5/Hlxli19YMSIEcKlQ69evRSefpCRkdG8eXMisre3X7RoERFVqFBBmXeof/75R7g4Vq+u3MhB5CByED4lLCzMw8NDeBQv0NXVtbOz8/X1/fg2yo4dO4R2LC4uLhkidYB5/JjLl+dKlUQJ9gkzZ86kfO6Vun8/+/nxtm3s5lb0CkK5PKftxRc6akAxsHPnTiJq2rS5KoJnZ2cL9/5atGjxha7RhWXyZCbikSPZyYmJxEnSzMxM4R40EQ0aNCj53+XC0dHRwrqVn3/+WYTTFDv5LAjHj+cDB/jxYx42TBVXooLmzZmIRWlg/uTJE+Hx8dKlS3O3zMrXRLXQ0FAiMjQ0FFo7WFhYqG557qlTp4R+ZfSRkiVNy5Xjhg25Z0+eOJE9PXnPHg4I4GvX2NIyZ0WEo6OKxsVhYWESiaRkyZIBAQFEZGxsnK//hwKhvaS5uXlgYKBMJpNKpSeUvhfUo0cPIlqyZImScYoS5CByEDkI/5LL5X/++ae7u3uNGjVyf1cNDAwcHR19fX2/vOHnqVOnhE6zdnZ2yUq3WPH3z6lb9u8Xc770+9q1a0dER44cyfshQkEol7OtbdErCJm5Vi0mytm2G4orYSv5TSpb2/rkyRMDAwOJROLu7q6iUygmOZkNDZmIT5xgTU2WyTg2VrTgu3btEhY1NGjQ4OHDh2lpaULfODs7O3G3hyk28lkQ5s6OevCAJ08WfTSCXbuYiGvXZiV/ZNnZ2R07diSirl27enl5CR+TkZGR+Y3TrFkzIvLx8RE6Wxw+fFipYX3G06dPhfU8kyZNOnny5JYtW9zd3YcMGdKhQ4dq1arVru388cYswrw+Z2d2cuJnz1R4McrM7du3JyIvL6969eoR0a5du/J1eGBgoNBe8vjx40JXgHzd5f2c4OBg4eJYrDvcRQByEDmIHARmZk5NTRV+GQQVK1Z0dXU9ceJE3n8WV65cEdpONG3aNDExUZnBtG/PwoP/AQNU0qkhOztbWP2Yr8fRf//NQiOqu3f59GnxR6VqdnZMxAcOFPY4QGVu3LghfDK+E2tOznumTJni5OR09+7dOnXqSCSSb61B0YYNObNs3N2ZSPwP0Lt37wr7HpcqVUqYOmFhYfFCvJ4LxYyiBWFkJE+YIPpoBBkZbGLC+vr84IFScXJnTp84cUJorebv769AHOFpfu3atVetWkVEHTt2VGpYn5L7TP8L63keP+YrV9jfn728ePJktrfnpk3Z15ednfnuXR41SrUXo8LiDSsrKx8fHyJq3jwfcxtiYmKEhVirVq3q2bMnEbVu3VqU/bXlcnmdOnUaNep04IBqN6n7hiAHkYPIQWBm5kuXLhGRTCabNGnSuXPnvtBq5QsePnxYtWpVIqpVq1a0oov/5HJ2dubp0/naNVUVhLdu3SIiS0vLfB21eTMHBDAzR0fzxInij0rVJk1iIvb0LOxxgMoMGzaMiKaqoDPvmzdvhHsoISEhmpqampqaDxXbeVNl6tVjIt6xg01MmIjPnBH/FK9fvxamJglT6FW3404xkM+CcPBgvnGD5XJ2c+Njx1QzJGbmkBAODMz5+uJFRSKcPn1a6K105MgRYS7NREU/DTIyMkxNTYWZKkJ23RJ7AsfChQtJ0fU8Qluq2bO5fn1xB/V/srOzhaaL/v7+ZcuWbdeu3Zu8LWvIbS/5/fffe3h4EFGZMmUUvuz42ObN74j4u+/EivfNQw4iB5GDwMzMwtaUQ4YMUTJOQkJC/fr1hSe9+cqsR4/Yy4tbtmQPD3Z25tevuXdvdnZWSUG4ceNGIhowYEC+jirqBeEvvzARjx5d2OMA1chtGHb//n3RgwvvD+3bt589ezYR9e/fX/RTKOPPP5+UKCGvVIm3b2citrZWdkbS58jlcnt7+1atWn3cYwbel8+C8N07XrSIJ07kAwdYlYtTw8O5XDkW9np1cMj34blTvxYsWDBgwAAiqlevXmpqqsLjES4We/fuPX78eCJydXVVONTHzp07p8x6nsWLmZmTk1npq4KvWLFiBRF17tw5XzOLZsyYISxbCg4OFtpLijvfLzmZy5ZlIr5yRcSo3zDkIHIQOQjMzDxo0CAiWr9+vfKhkpKShG2sDQ0NL3xtcfK1azxnDltb/zdxuk2bnNsiu3axoSGnp7PojyKGDx9ORGvWrMnXUZs3s50dT5jAQ4cWyYLw6FEm4jz0VYUiSSjVunTpwsz3798Xd6PdOnXqENGePXve307p2+Hk5FSqlNnKlX/27v2OiMV4GwOlKLTtxOvX7OTEVaqwGDOOPik8nKdP5z59ODubHRx43z7esIGPHuWwsK+323p/6pe3tzcR6evr37t3T5nxPHv2TEdHRyqVhoSESKVSXV3d58+fKxMwV2Iid+r0uFw569mzZ4sSUHWSkpJ0dXWF61EvLy9/f/8rV64ITcy/4MyZM+bm5seOHRM2154xY4boA/vxRybib2xuvIohB5GDyEG1V61aNSK6Idy2UVpaWpqDgwMR6enpBeZOD/hXdnb2hQsXpk2b1qJFZG4dWKYMDxnCAQGcmvrfbu+zZ/OsWaynxx/FUErt2rWJ6HN7i31OUX9CGBzMV65wWhrfuYNeo8VQ9+7dhVbAly5dKlWqVM2aNb/cCCrvTp06JTzz/+2334TGKqKEFUtCQoKmpqZMJgsODpZIpK1bLxTp3w2KU3Qfwrp1Vbj7LHN4OM+fzzt3so8POzhw+/b/18XBwIDr1uW+fbPGjBmzdOnSHTt2nD9/PioqSlgSk9tOPSQkRLh42rFjh/JDGjJkCBFNmzatW7duRLRs2TLlY8rl3K0bE7GdXaoo63lUTWgQ8gEtLS1LS8uWLVs6Ojq6ubn5+PgEBASEhoa+fv1aOCotLa13795C3wIFWiN+VXQ0y2SspcVfuzAuXpCDyEHkoBp78eKFRCLR09MT8fc2KyvL1dWViDQ0NISeh1lZWefPn584caKxsbHwy9a2rWe5cuziwgEBn54aKpfzsGFMxJqa7OsrzsDevHkjbHCS3775Rb0gtLfPWSo+axarYFIhFLIDBw7IZDKJROLv79+gQQMicnJyEiWysHBu0aJFwlZDmzdvFiWsWNzd3YmoX79+I0eOJKJJkyYV9ohA4YJw/Xom4pYtRR3Mf4SLUWZ2dmYHB/b25hEjuEsXrlWL9fRyLkmrVEn/4KpIQ0PDyMhIWLYUEBBQq1YtIhot0uz769evE5GBgcGBAweE+VfKfwwvW5Zzk1VF2/iKTi6XL1myZN68ecJ+aA0bNhQ2dfmccuXKNWzYUJiuYGhoGBUVpaKB9e3LRDm/M+oCOYgcRA6qsaCgICJq06aNuGHlcvmsWbOISCKRNGvWrEyZMrm/S1WqVJk2bdpff938avMauTynbaBEwqI0uhcedzRr1iy/B8rl/y1MUtFmGCrl7Mzz5vH58ygIiy1hXbehoeEff/whrJBXfhJ4TEyMTCbT0tISukCrqIWpwjIyMkxMTIjo6NGjJUqUkEgkSk4gAlEoWhAmJ3OZMipaNRIXx3FxvG8fM3N4OK9c+eELnj/nGzc4KOjVL7/88uOPPzo7O7ds2dLExERDQ4OIKlasWLduXWFjyrp166akpIg1MGGJxdq1a4XL3P379ysT7fJl1tJiiYRV00K/4KSlpT169Oj8+fN+fn4eHh6urq52dnY2NjbCDle5li5dqroxnDnDRFyhgkpX1X1jkIPIwX8hB9XQgvnziWi6sNWD2NauXaulpVW6dGkisrS0nDhx4vnz5/O7edevv7JUykQ8caKyxZgwl3XcuHFKRSmCnJ05OZl79OAZM/j2bZ4/n1V2SwcKh1wuF6ZvNGnSROinra2tHRoaqkxM4Z7OwIEDhw4dqrp3CYXt3r2biGrXri2siheWUEKhU7QgZObp05mIBw8WbzDMzM+esYkJ29uzArczMjIyrl27pq2traGhIex1JuKVKDPv27ePiKpXry70blLm1uzLl2xhwUSsguU835AnT55cvXp13rx5165dU/W5Ro/mgIAieQ9YcchB5ODXIAeLK/n336dUrx4nTIgUW2xsLBHp6+uHh4crE2f3btbSYiL+8cd7CuxUGRYW5u7uLuwkRkQ//vijMoMpWm7e5EuXclr1HD7MJiY50xmkUra1ZT8/1a0fh4L28uXLKlWqENGkSZPGjh1LRL16bU9KUjBaWlqaMCXkxIkTQgvTB0ruHyWerKys6OjoRo0aCQ9ChY2FA1TzJgb5pURBGBXFGhrirhqRy7lnTybi1q0Vf7NzcXEh1TROyMrKEroyHD582NDQkIiuXr2qWKjhw5mIW7RgbOassKAg3rCBmTkzkx0ceO9ebtWK5fKc26hqATmIHCxUyMFCI5fnTBCIi1NF+P379xNR165dlQ918iS3aRMnk+l07do1L/PWsrOzz507N3ny5MqVK+c+3C5VqlTXrl0/t0Fo8ePry3p6bGLCM2fmfGfCBD52jAcOZG3tnBn7Fha8ZAk/eVKoAwWRXLlyRUtLy8TkOz+/FwMH3iTiPn0U3Ibh999/J6IGDRosW7aMiL7P3bu4YL18+TI0NDR30oqtra21tbXQU6BcuXJ6eno7duwgosqVK6tPXn/jlCgImblPn7uWlkHi7ezh4SHCep5r164JE7JVMWfaw8NDIpHMmzdvypQpRGRtbb1ixYq9e/devHgxPj7+y/sCZ2Sw8LAkO5ujorhPn5zG3BkZijyKgY8vRp2dedOmnIvRhAT1mLqGHEQOFh7kYKG5d4+J2NhYReF//PFHInIXZf0fc2hoaIUKFYRJcc+ePfvka3K71wjb1QjKly/v4uISEBCgwNPFIiotjSdOzCn5XFw4OfnDFyQm8vLlbGWV85qyZeUDBvzwxx9/5HdCL3xrtmwJMTSUlyrFZ87k3O1ZtUqROM2aNSOizZs3C08dg4KCxB7p/7l169aff/65c+fOJUuWjBw50tbW1srKSktL65Nr2iUSibGxsbDuvXXr1jVq1PDw8FDp8CDvlCoIb5w7J5FIjIyMRGlbJ+J6nu+++46INgiXKqJ6+fLl3bt3mXnOnDkfrM8hIi0trSpVqgwdutzFhWfP/rBN/9GjbG3NaWkcGckzZvCSJTmLvy5f5iVLRB9p8RcUxO3b84QJPH58zsWovz87OPAff/D8+WxhwRIJGxlxs2bs4MBTprCXFwcEJF+9evVJMbqnihxEDhYi5GCh8fVlIra3V1F4YbGuiJeSjx49srKyIqKqVas+fG+PwtTU1ICAAFdXV6FiFFhYWAirFr98f6f4iY3l5s2ZiHV0eOPGL71SLufgYHZ05Pbtbwr/06pVq+bh4SHWZjxQKAYOZCKuW5f9/VkiYU1Nzu/egbl3Y/38/IR0U2kSderUSSKRfLL2MzQ0tLGxERpfe3l5+fn5hYaGCveIHzx4ILTP8fb2VkXXa1CMck8ImevXr09i9JQXdz3Pnj17hEcHKrpndvXqVWF/52HDhk2ePLlv375NmjSpVKmSkAbt2i16v0F/bpv+DRt4xAhesAAXo+L4+OmEvz+Hh3OHDuzuzlZWrKn54U+hceNnws9IR0enWrVqHTt2HDJkiLu7+6bcLbSKIOQgcrCwIAcLzdixTMTLl6sidmZmptD6T9zq4vHjxw0bNiQiIyOjM2fOBAQEuLi4vH9Px9ra2s3NTYHuNcXDyZOZ5coJ3Zv5+vW8HhUXFzd//nyhZyMR6erqDh069K+//lLlSEFV3r7lmjWZiF1deepUJmJTU05MzEeEH374gYh+/PHHzp07E9HKjzvCiefChQvCQz8bG5t+/frNmDFj3bp1QUFB4eHhqampXz527969JEb7HBCR7JOVfd5NmDBhxIgRq1evHjhwoMJBmHn27B2vXw9q0UKyeLGSIyIisre3NzU1DQ8PDwkJsbW1FSHie16/fu3k5JSRkTF58uTVq1e//1fp6emxsbEJCSX/+Yeioyk2lmJjKSaGoqPp1SsqXZpat6azZ+nhw5zXr1xJFSrQ06dUv764Y1RftWpRkyYkkVBEBMnl9Pjx//0gmBOzsxvGxsY+f/48IiIiIiIi98CHDx8K3Z+LHOTg+3+FHCx0apiDheDSJSKiZs1UEfvOnTvJycnVq1cvW7asiGErVap0+vTp3r17nzlzpn379sxMRBKJpGnTpn379u3bt2+1atVEPF0RwszLly/fufPw27enu3fX3r6d3tvs4ytMTEzc3d1nz5595MiRDRs2nDp1atu2bfv27ZswYcLPP/+sylGD+PT1yc+PmjenjRtp61b67ju6eZOuX6fOnfN0uFwuv3//vlQq7dat28qVK/X09ITNe1Vk06ZNRDR58uRVq1bl99h+/fqdPXt23bp19vb2169fL5P333hQHSULyrS0NGGmhzJ3pIRLOmvrrtHRot0XXLJkCRH16NFDrIC5+vfvT0SNGzfO1w65z5/z0aPs68sJCdy2LZ5OiCAr6792ICkpnJ6e88fMTP7azSlOSUkJDw8/ceLE5s2bhYZXTZo0Ue1wVQY5mEfIQdEhBwtHSgprarKGhopWvq5fv56IXFxcVBE8LS2te/fuMpmsTp06a9asiYmJUcVZipAXL150796diDQ0NNasOabkw9GHDx8KexgYGBiINEAoaJs2MRGXKMF//MG3b+f78LCwsEmTJhHRyJEjVTC6HImJiTo6OlKp9NSpUy1atNi7d29+I6SlpTVu3JiIhg6dp5ZzAr45yhaEzPzTTz8RUf/+/RU7PHfq18GDB5UfTK7ExERdXV2JRHJf1M1cvb29iahkyZIKhD15kvfsYWZeu5bd3dnTk4U+8KGh7Okp4hghf1JSUoQb4ZcvXy7ssSgIOZhHyMFvUzHIwQKVksLBwbxtm4rCC08V1q5dq6L4kOv69euWlpZEVLZs2ePHj4sS8/Xr10Skp6ennjNvi4cffuA+ffjVq3wc8vr161u3bh0+fNjT07NEiRJEpNKthpYuXSrc8BWKT1dXVwWCREZGduzora8vV+XMVsgrEQrC+Ph4TU1NDQ2NYcOG7dix4/z589HR0Zl561j/6tUr4d1w8uTJyo/kA8OGDRM38u3bt4WeuTt37hQrJnwLZsyYQUSDBg0q7IEoCDkIRV1Rz8GCs2EDDxvGM2bwsGGsmnbtNWvWJCU2dIE88vX11dPTI6JGjRoJu7aKRejimJCQIGJMKEhCp5XvvuN795iZx43776/eveOwMD5yhH/5hadOZUdHp0aNGn0w5dLMzExfXz8qKkpFw8vKyhJamObu/6Rw8XnkCEskLJPlu30OiE6EgpCZe/XqJZVKP5iMmttiaOLEiR4eHkKLofj4+PfvWuVO/VJFo6E7d+5IJJKSJUu+fv1a+Whv374VPibHjh2rfDT4pkRHR8tkMk1NzTjVbOpVAJCDUKQVgxwsCMnJ3KtXzte//CJCO+CPvHr1SiqV6ujooPufSgnPVYho9OjR+Zr6nhfCxgPnz58XNywUsG7d2MmJ5XJ2cOBNm7hJEy5f/sM2XWZmlsIvkp6enrW19ffffz927Ni6desSUbNmzVSUxYcOHSIiKyurdevWEVHr1q2ViTZtmiLtc0B04hSEaWlpY8eOHTt2Wz3xKgAAIABJREFUrJOT03fffWdiYvLxtWmuEiVKWFtbd+3aVWhCXbp06UePHokyjI+1bduWiH799VflQw0aNIiI6tatmyJsZAbFi729PYm371bBQw5CUVfUc7AgREby+PE5X588yeJtQJrrxIkTRPTdd9+JHhneV7ZsWYlEMj73pymqAQMGENE2lU0qhoLh7MybN/Pvv7ODAy9fnlMB6uhwzZrctSuPHs0eHnzgwOnLly8/ffr0/QNfvHhhYWFBRNOnT1fFwDp16kREq1evrlevHhHtEVZiKCozk1u1YiLu2FFFkx4gT8QpCD+WkZERHx8fGhrq5+fn5eXl5ubm6OhoY2Pz/p6zRFS+fHnl2+V/gb+/PxFVq1ZNyZ1YNm7cSET6+vrCBmhQ/Jw9e5aIKlSo8NV2yUUFchCKluKXg+JLTeXcLk2rVrEKtpxeuHAhEU2dOlX0yPC+Ll26ENG+fftUEXzu3LlENGfOHFUEhwLj7MxyOffty126cHQ0X7zIeZ8FfOnSJaE1gL+/v7ijevDggUQi0dPTO3LkCBEZGRll5PYWU1RsbM7Dz8WLRRkjKELZbSc+R1NT09jY2NjY2MbG5oO/evPmTUxMTHR09L59+4YMGdKuXTsVjYGIevXqVaVKlYiIiBMnTnTr1s3T0zMoKMjc3Lxy5cpmZmZmZmbC18IC3M/5+++/J0+eTETr1q0TZqxB8dOmTZvGjRsL5dPgwYMLezgiQA5C0VL8clB8OjrUty8NHUplylBKCk2eTH5+1KYN/bsDp/IuX75MRM1Us6EF5LK2tj5x4sSjR49UEbxq1apEpKLgUJAkEpo3jzp1InNzMjfPx4HNmjVbunTptGnThg8f3qBBA6FTgCiEdlMuLi6///47Ebm6umpqaioZ09SUtm+n7t0pNlaMIYJiCrsiVbnly5cTUdeuXZnZ2dn5k/8TypQpU79+/R49eowfP37ZsmW7d+++cOGCcM/j3bt31tbWRDRixIjC/qeAam3dupWIGjVqVNgDKW6Qg5BHyME8yc5mYdVZYCBraLClJUdEiBVb2MNGde0oQLB27VpS2cYA58+fJ6KmTZuqIjgUmNxOQ4o16pbL5b1795ZIJIMGrRNrmerbt29Lly5NRKdOndLU1JTJZCKu+r55k69d402bmJkTEjgggAMCOD6emfnBAz51SqzzwKdJmFn8KvNb8urVK1NT05SUlJkzZ3bo0CEtLS0xMTHmX7GxsTExMampqR8f+Pz587Jlyw4ZMsTX17d27dpXrlwRGoJBcZWenl65cuWnT59euHChZcuWhT2c4gM5CHmEHMyfly+pRw+6eJHKlqXAQGreXMl4jx49srKyqlChwtOnT0UZIHzO8ePHu3Xr1qFDh5CQENGDP3782NjYuGzZss+fPxc9OBQhr169cnG5HBjYZexY8vYWIeD69evHjh3bpk2btm3bLlq0yMnJac+ePSLE/Ze/P82dS/v2kURCfn6UnU1OTlSnDp09S9ev05QpIp4KPlT8C0IisrGxuX79eu4fdXR0jI2NLS0tLS0tjYyMjI2Ny5Qpo6WllZmZGR8fHx0dHRsbm5iYePr06T179vTv379EiRJXrlwRnlFA8TZ37tzFixf369dv7969hT2WYgU5CHmEHMyf5GRydKRjx0hfn/bvpy5dlAn2+++///DDD7169RK6CILqREREVK9evXLlylFRUaIHZ+aSJUsmJycnJSUZGBiIHh+KkFu3qEULSk2l7dtp0CBlo9WrV+/OnTu7du2aPn16QkLCuXPnWrduLcYwc/j708uXdPw4LVxI+/ZRdjalp1OlShQZSVWroiBULbUoCN+8eTNgwIBnz569e/cuKirqk88iiEhDQ8PY2Njc3Nzc3NzMzCwxMXH37t1paWnbtm0TNuqFYi8hIaFKlSpyuTwyMtLMzKywh1N8IAchj5CD+ZaVRaNG0datpKVFvr70mVnZXxYZGXnkyJHZs2cnJyf3799/165dog8T3peZmamrq8vMKSkp2traosevW7duWFjYtWvXGjVqJHpwKFrWraNx40hfn65coVq1FI9z+vTpDh06GBkZLV++3MXFpXbt2mFhYeINk4jI35/kckpOpnv3SEeHsrOpdWuqXp0uX6aEBBSEqqWqpjLflFKlSgUGBub+MSkpKSEh4fHjx5GRkZGRkblfC88lYmNj//zzz9wXt23bFlei6sPY2Nje3n737t3r16//+eefC3s4xQdyEPIIOZhvMhlt3kxly5Kn548+PpXi46dNm5bHQ2/cuHHgwIEDBw6Eh4cL3ylRosSsWbNUNlbIoampaWZmFhUVFR0dXb16ddHjV61aNSws7NGjRygIYexYunSJtm+nfv3o8mVSeOGFt7c3EY0ePXrDhg1ENHHiRBEH+b4ffqDOnUlYNGBsTBYWFB1NCQkqOhvkUIsnhHkkTFeLjY2NioqKjY0NCgqqX7++u7u7sMge1MSlS5datGhRpkyZ4ODgjRs35rbBNDMzMzU1Vb6bFnwBchAIOaioK+vXNx83jplnz569aNEiiUTyyZfJ5fIbN24cOXJk9+7dDx48EL5paGhoZ2fXuXPnbt26lS1btgBHrb5sbW1DQkKCgoK6desmevBp06atWrVq6dKlM2fOFD04FDnv3lGTJnTvHg0fTps3KxIhISFB2NswMDCwS5cuBgYGcXFxX24ProBjx6hyZbK2pvv3KTGRJBKqUYPKlaO4OHr6lD7qmA5iUosnhHmkqalpYWFhYWEhTInGXVL11Lx586ZNm165csXHx0fY+y6XVCqtVKlSx46bMzK6mZmRmRlVrkzm5mRmRuXKFdZ4ixXkIBByUFFNx4zx1dcfPnz4kiVL4uLiNm/eLJP99xGfnZ39119/7du3z9/fPz4+Xvjm/9i7z7gorq8P4Gd36b0JCCqICqgBEdSI3dh7AVti1xhLNGqsj0mMMYklid3E3lATLFGJsWvErtgQUCnSexVY+u7e58VN5r9Z0FhAlPl9P77AKXfu7O6ZmTNz7x0rK6tevXoNGTKkR48eOjo61VRxkWrQoMH58+fx5gl4A4yM6OBB6tePhg17ibVKS0vj4uJiY2NjY2N3795dVlY2bNiwiIgImUw2duzYSs8G8/Np+HCysaGgIHJxIReX/82qU4fq1KncrYEmJIQAmmbMmDFy5Mjz589v2LCBt2Dkb+1LSUlJTk4OCdG/f19zFSsrysiojroC1ESIwVczatQoW1vbwYMH7969Ozs729/fXyKRXLly5Y8//vD39xfGDnVwcBgwYEC/fv06deqknjTCm1SlORsSQuAOHSIjI+rZk6ytadgwSkuj6dNp/Xq6fp2ePPl7mJmyMkpIoNhYiomh2FgqLb127dr8mJiYlJQUlUolFFWrVi1dXd1PP/20X79+VXH/aM8eyssjT08yNa30suG/ockogKbS0lILC4vCwkJLS8uGDRsK70+3t7c3MDBgrGNurmFCAiUkUFwcxcdTQgLZ2NCcOeTrS6amdPQoDRxY3fsA8C5DDL6O69ev9+3bNzs728jIiIjkcjmf3qRJk0GDBg0ePBj9yt4Ghw8f9vX17devX0BAQKUXHhUV1ahRo3r16sXFxVV64fAO2bOHjI1p0CBKSaGlS6lpUzpxgubNI6WS7t+nY8coNpaSkkip/N8q7dpFXLniQkRaWlp169blzXZkMtmuXbuUSuWRI0cGDBhQFVV1c6PQUDp4kHx9q6J4+A9ICAEq8OOPP65evTq5XC9mqVSqpVUklerwVmr16v39r0kTWrCAPD1p1SoaMoQOHqyWWgPUHIjB1/Ho0aMuXbqkp6crlcomTZoMGTJk6NCheHHLW+X+/fvNmzdv0qRJWFhYpReuUCj09PRUKlVubq6xsXGllw/vij176MABcnKiwkLS0aGmTcnZmdavp6lT6ckTmjOHiotJJiN7e3J0JEdHql+fXFyy7OxCHR0d7e3t1VsQLF++fOHChebm5nfv3uX9CSvR+fPUtSvZ2VFsLKGfeLVAWxGACsyZM8fd3V2hUCiVyoKCAt5oLTY2Ni+vODRUJyuLIiLon+EYiIgmTqTatUlLi4KCqq/SADUIYvB1NG7cOCgoKCAgwMvLq1WrVtVdHahAw4YNiSg6OlqlUkml0sot/M8//5RIJIyxlJQUJIQiN2HC/54QEpGeHk2dShs2UO/edOEC2dhQ3boaOZglUcfy5cyfP//GjRvHjh0bNmzY5cuXK7fV6MaNRESTJyMbrDZ4QghQMUtLy+zsbCLS1dUVWqw1adLOwmKitTVJpaRSUXr6343WunalP/+kLVto1CiSyejw4equPcC7DzEINZuNjU16enpiYqK9vX1llVlWVjZ//vzVq1cTkY+Pz6FDhyqrZHgXlW8y6u5O7duTjw916UJTp75caTk5OV5eXjExMTNnzuS/sUqRkEBOTiSVUlwc2dpWVqnwcvCEEKACCoWiffv2/KFERkZGVFRUVFQUEXl7F16/PlFYzMqK+FCHzs70559kbEwffkgTJz67XAB4MYhBqPEaNGiQnp7+5MmTykoI09PTR4wYceHCBS0trW+//Xb+/PmVUiy8uwYOJP742dqaFi8mfX3iD/b27PlXv8EXZG5u7u/v365duzVr1rRr187Hx6dSKvnrr/uaNbNyde1ua1vxy3LgDcATQoD/UFRUJLwwPS+vTnBwdz6aRXw8FRf/vcz585SWRiNGEBGtWEE4CwNUIsQg1EijRo3au3fvunXrpk+f/vqlXb58ediwYSkpKfb29gcPHvT29n79MgHKW7t27cyZM42NjYOCglzU3w7xSkpKSurVq5eenn716vU2bVpXSg3hFSAhBHh1aWl/X5V26kQWFtVdGwDxQQzCu6tHjx5nzpwxNTVduHDh+PHja9Wq9YoFMUarVrX387sSHNylS5dff/311YsCeAFDhgw5dOiQu7v7jRs39PX1X6coPz+/0aNHe3h43Lt3r7KqB68ACSEAAADAm5aYmNi9e/dHjx4RkZ6enq+v7+TJk9u2bftypeTl0fjxdPhwop3dzgkT/m/xYplMViXVBfhHfn5+y5Ytw8PDP/nkk02bNr1CCaWlpXxYmtatW9+8eXP79u3jx4+v7GrCS0BCCAAAAFANlErlyZMnN23adPLkSf4ScHd39+9mzOg7ZAiZmPz3+o8fk48PPXxIJia0YwdVUp8ugP/04MGD1q1bFxUV7d69e/To0c9arKSkJCkpKVpNcnJySkpK3bp1L168eO/ePU9PT3Nz88TERAMDgzdZf9CAhBAAAACgOiUlJe3du3fDhg2JiYlh7ds3CQqiIUNo1ixq3vyZ6/z6K338MRUUULNmdPgwNWjwBusLQFu2bPnkk08MDQ1v3brFX3N65syZqKioWDUZGRkVruvs7BweHj5u3Lhdu3bNmTPnhx9+eLN1B01ICAEAAACqX2lp6dGjRwfv2qV16hTxy7PWrWnyZBo6lDR6au3eTWPHEhGNHUs//6w5F+CNGDNmzJ49e1xcXIKCgoyNjRs1asSHgxbo6OjUqVPHycnJycmpdu3atWvXNjU1lclkxcXFjx49+vHHH5VKZWRkpJOTU3XtAnBICAEAAADeJo8f06ZNtGcP5eQQEVlY0J49lJVFly6RtjbVq0czZlCHDjR6NH32WXXXFcSroKCgVatWDx8+HDFixP79+xcuXJiVleXo6Fi/fn1LS0vGWF5entBMNDo6+vHjxwUFBcLqdevWzcrKevjwoYODQzXuBRASQgAAAIC3UUkJBQTQli104QIFBdGKFeTvT0Q0ezaNHk1uboTxY6C6hYeHt2zZMj8/38PDo3Xr1kJj0WLhpUD/ZmNj4/iP06dP379/v3Xr1oGBgXyMGaguSAgBAAAA3mJPnlBmJp0+TV99RUS0bx9JJPThh9VdLQAionXr1s2cOVMjoTA3N+fNRO3s7Jz+4ezsbGxsLCyTnZ3t6ekZFxc3d+7clStXvvGKw/9oVXcFAAAAAODZGjQgHR2Kj//7vzEx1KFDtVYI4H9mzJhhbm6+adOm4cOH169fnzcZNTQ0/M8VLSws/P39O3To8OOPP3p7ew8aNKjqKwsVwxNCAAAAgLfeggWkrU1GRvToEe3cSRJJdVcIoBL8+OOPc+fONTMzu3v3bv369au7OiKFhBAAAADgXZCURKWl5OiIbBBqDMaYj4/PkSNHWrZsefnyZV1d3equkRghIQQAAAAAgOrx9OlTLy+v6OjoTz/9dP369dVdHTFCQggAAAAAANUmODjY29u7qKho7969H330UXVXR3Sk1V0BAAAAAAAQr2bNmv3www9ENHny5MePH1d3dUQHTwgBAAAAAKCajRo1au/evW5ubjdu3DAwMKju6ogInhACAAAAAEA1++WXXxo3bhwSEjJjxozqrou44AkhAAAAAABUv9DQ0Pfff7+wsHDnzp1jx46t7uqIBZ4QAgAAAABA9Xvvvff4QKNTpkwJDg6u7uqIBZ4QAgAAAADA22LcuHG7du1ydnYOCgoyMTGp7urUfFrVXQEAAAAAAIC//fLLL8HBwe3bt9fT06vuuogCnhACAAAAAMBbpLCwEAONvjFICAEAAAAAAEQKg8oAAAAAAACIFBJCAAAAAAAAkUJCCAAAAAAAIFJICAEAAAAAAEQKCSEAAAAAAIBIISEEAAAAAAAQKSSEAAAAAAAAIoWEEAAAAAAAQKSQEAIAAAAAAIgUEkIAAAAAAACRQkIIAAAAAAAgUkgIAQAAAAAARAoJIQAAAAAAgEghIQQAAAAAABApJIQAAAAAAAAihYQQAAAAAABApJAQAgAAAAAAiBQSQgAAAAAAAJFCQggAAAAAACBSSAgBAAAAAABECgkhAAAAAACASCEhBAAAAAAAECkkhAAAAAAAACKFhBAAAAAAAECkkBACAAAAAACIFBJCAAAAAAAAkUJCCAAAAAAAIFJICAEAAAAAAEQKCSEAAAAAAIBIISEEAAAAAAAQKSSEAAAAAAAAIoWEEAAAAAAAQKSQEAIAAAAAAIgUEkIAAAAAAACRQkIIAAAAAAAgUkgIAQAAAAAARAoJIQAAAAAAgEghIQQAAAAAABApJIQAAAAAAAAihYQQAAAAAABApJAQAgAAAAAAiBQSQgAAAAAAAJFCQggAAAAAACBSSAgBAAAAAABECgkhAAAAAACASCEhBAAAAAAAECkkhAAAAAAAACKFhBAAAAAAAECkkBACAAAAAACIFBJCAAAAAAAAkUJCCAAAAAAAIFJICAEAAAAAAEQKCSEAAAAAAIBIISEEAAAAAAAQKSSEAAAAAAAAIoWEEAAAAAAAQKSQEAIAAAAAAIgUEkIAAAAAAACRQkIIAAAAAAAgUkgIAQAAAAAARAoJIQAAAAAAgEghIQQAAAAAABApJIQAAAAAAAAihYQQAAAAAABApJAQAgAAAAAAiBQSQgAAAAAAAJFCQggAAAAAACBSSAgBAAAAAABECgkhAAAAAACASCEhBAAAAAAAECkkhAAAAAAAACKFhBAAAAAAAECkkBACAAAAAACIFBJCAAAAAAAAkUJCCAAAAAAAIFJICAEAAAAAAEQKCSEA1BC5ubnFxcVVuomnT58WFhZW6SaqYi9KSkqePn1auWUCaCgrK3v69CljrOo2UVpampOTo1Qqq24TVbQX+fn5VX3oAKhJMahSqSq3WLlcjhh8DiSEAPBygoKCLl26VN21qEDdunWXLFlSpZuoX7/+woULnzX36dOn586du3fvnsb0kpKSc+fOXb169UU2YWNjs2zZsteqZTm//PKLubl5UVHRK5dw/vz57OxsIlKpVOfOndNIL0tKSgIDAzMzM1+3ovACCgsLjx8/npCQUN0V0eTv729ubp6UlFR1mzh69KiFhcXjx4+ftUBYWNi5c+fS0tI0psfExJw7dy42NvY/N3HgwAFzc/NK/3jbt28/bty4V149NTX18uXL/O+kpCSNg0leXt6pU6cOHTpU/uADVaGoqOjtjMGDBw+am5vHx8dX3SYCAgIsLCwePnz4rAUePnz4mjF46NChqtiLDh06jBkz5pVXT0tLE658kpOTr1y5oj5XLpefPn364MGDQUFBVZqQVx0khADwcr755ptPP/30RZY8evTo8ePHq7o+LysrK2vBggVVcci+ePFit27dunTpUlpaqj79xIkT3bp169OnT6Vv8c1IS0vr2rVreno6EcXExHTr1k1ICDMzM1esWNGgQYNOnTpt3bq1WqspFikpKf369Tt79ux/LqlUKhcsWMAz+bfKn3/+eeTIkaooed68ed26dfvhhx80pk+bNq1bt24bN26sio2+AXv37p09ezb/e+vWreq3pbZu3VqnTp3+/fuPHTvW09OzS5cuWVlZ1VRNsUhNTe3Xr9/p06f/c0mVSrVgwYK38Bs5ceLE77//XhUlz58/v1u3bitWrNCYPn369G7duq1fv74qNvoG7Nu3T4jBbdu2LViwQJh14MCBevXqDRgwYMKECa1atWrVqlX5fPjth4QQAKqKn5/fhQsXqrsWmsLDw1esWFEVCWFsbKxEIuHPCdWnHzhwQCqV5ubmvoWX5i8iLCxMR0enYcOG/G8jIyMHBwciKikpcXV1PXz48MSJE6u7jlCB1NTUFStW5ObmVndFNPn7+7/IxfQriI2NlUqlBw4cUG9vlp2dfe7cOalUGhMTUxUbfQPCwsKaNm1a/u/r169/8sknkydPzsnJkcvlBw8e/Ouvv57TigHesLS0tBUrVryFLfYPHDhw6tSpqii5whjMyck5e/ZsjYzBhw8ffvjhhwsWLMjNzc3Ly7t48WJYWJiQOr5DtKq7AlAJsrKy7ty54+3tbWxsXKUbUigUFy9edHZ2rlevXpVuCN4JJSUlSUlJjo6OZWVlt2/flslk7u7uBgYGRJSfn5+RkREbG2tmZhYdHU1Ejo6OUqmUiPLy8u7du8cY8/DwMDMzIyK5XJ6dnV2vXr2oqKikpKTmzZvn5eWZmJjo6endvn1bR0enSZMmvFhBcnLyo0eP9PT0mjdvrjFLkJKS8uTJE21tbRcXF74hIoqNjQ0ODiai6OhoqVRqZmZmYWFBRIyx0NDQtLS02rVrCwd6YTfv379fVFRUt27d56eRMTExdnZ29vb2/v7+vXv35hMLCwv/+OOPAQMGHDlyJC4ujm+OS0pKevz4sZ6enqenp76+foVlKhSKu3fv5uXlNWrUiKdh6h/C48eP9fX1W7Rooa2tXVBQkJaWVqdOHR0dHb5AYmKitra2jY1N+WJTU1MfPnyoq6vr5eWlp6f3rD1KSUkpKiq6cuWKg4MDb8Bz7do1R0fHmJgYmUzm4ODw5MkTU1PT4uLiqm6sCxXKyMggolq1aiUmJj5+/NjBwaFRo0Z8VmJi4p07d4goISGBMWZkZGRtbc1nRURExMfHW1paNmvWjEdlcnKyoaGhgYHBzZs3jYyMXF1dk5OTnZycUlJSHj16VL9+fUdHR4lEImxXqVQGBwdnZ2fb29s3bty4wroplcrHjx+npaXZ2tq6urryDcnl8vT09Ojo6Hr16vEjQ7169bS0tPisu3fvKpXKZs2aqYcJEaWmpj569MjAwCAnJ+f5H0hcXByPtatXr7Zv355PPHz4sFQq7dKli0ZztRfZCyLKzMwMCQmRyWReXl6GhobCdJVKFRISkpGR4ejoyG+XpKamKpVKe3t7vgA/Qtra2pY/RjHGQkJC0tPT7ezsmjRp8qxNK5XKuLg4IgoODu7atSv/xB48eDBs2LDo6GhTU9NWrVqdOHGiR48e/Nvx9fVt06aN0LgU3gAhBvnxvF69ekIMJiUl3b17l4gSEhIkEkn5GLSwsPDw8BBi0MDAwNDQsMIYdHR0rF+//ivEYHh4eGpqqnoM8jNFdHS0nZ3di8dgWlraw4cPDQwM/vO2ZmxsLI/By5cvd+zYkU/kTyO7d+9ePgYfPHiQlZX1/BjMysoKCQmRSqXlYzA0NDQ9PV09BhUKRZ06dfgCz4/BZ530NWooxGDnzp2FGPTx8eEx2KRJk0uXLrVp04Yv37FjxxYtWvDv/R3D4N3Hb/PcuXPnFdZdu3ZtYGDg85e5cOHCxo0bGWP8LtdPP/30KrWEmqJv375ubm6MMX7IW7dunbW1tbm5uUwm40kdY2zbtm0ah5qsrCzG2Nq1aw0MDHR1dfX09AwMDH799VfG2L59+wwNDRctWsTPdhcuXPDw8PDx8XF0dDQ0NNTS0jIyMtq7dy/feklJybhx4yQSiYGBgZaWlpmZ2f79+/ksY2Nj3hZUpVLxKyRTU1M9PT1DQ8Pt27fzZYTMkFu0aBFjLDo62sPDg4j43J49exYVFfHl9+3bZ2VlJZFIhBVnzJjxrE+mf//+bdu2XbFihbGxcWFhIZ/466+/SqVS3vfg8OHDfGJxcfGoUaMkEomhoaFMJrOwsDhw4ACfpaur+9VXX/G/r169WrduXZlMZmxsLJFIpkyZInwIY8aM4R+CTCazt7e/du3a4cOHiej+/ftCfZo0aTJkyBDG2OrVq4mIV0mhUHz66adSqdTIyEhLS8vW1vbWrVvP2qPnXKo2bdpUWIz3Tvz++++f97uBShIVFUVE/Cc9duzY7t27jx8/XkdHx8TEhIimTp3KF2vWrJn69zVy5EjGWEZGRufOnYWfupeXV2ZmJmPM29t79OjR/IKsadOmPKOYOXOmlpaWqakpEbVq1So5OZmXfPfuXX7txbfYtm1bPsvPz4/+yT+vXLliZ2cnk8ksLS0lEom7uzuf/uuvv2r8kPj0LVu2GBkZ6erq6uvr6+np7dy5k29LLpePHDlSKpXy6XyV0NDQCj+Z1NRUItq1a5eLi8u0adOE6V26dBkwYMC8efMsLS2FiRp70aZNm6SkJMbY3r17iSguLo4vtmjRIm1tbQMDAx0dHXNz87Nnz/LpDx48cHZ2JiIjIyMi6t8hddh9AAAgAElEQVS/f0FBQb9+/Tw9PYVN3Lx5k4iOHz/Ov46hQ4fy6U+ePOHfDv8WevXqVVxcXOEe3b59+5lXb0TLly8vv0qfPn1sbW0rLA0qC88Ktm7dyhgbP358165dJ06cKMTg5MmT+WLNmzdX/74+/PBDxlhmZmaXLl2Eb9/T0zMjI4Mx1rZt25EjR/JDbuPGja9du0ZEn332GT/NEVGLFi34T5Qxdu/ePfVfr7e3N5+1b98+IoqNjWWMXb16VT0G3dzc4uPjGWP+/v4aPyT+a9+2bZuRkZGOjg6PNeGkWVBQMGrUKI0YfPDgQYWfDO9ZsGPHDldXV+GExRjr1q1b3759Fy5caG5uLky8f/8+T5419mL//v1EFBMTwxf78ssv1WPwzJkzfHpISIiLi4sQg3379i0oKBgwYICHh4ewiaCgICIKCAjgX4evr6/wDT7rpK/h+andsmXLNJbPzs62srISNvQOQUJYE7xUQjh16lQhnBhj9erV+/rrr5+/ysKFCxs2bMiQEAJjrFxC6OLicvv2bcZYbGysqanphAkThCVNTExmzZol/Pf8+fMSieTzzz8vKysrLi4eMGCApaWlXC7n57BevXpFRkbGxsYWFRV5eHhIJJLNmzerVCq5XD5gwAAdHZ2IiAjG2OLFi6VS6b59+5RKpVwuHz58uLa2dkhICFNLCBljJ0+eTExMZIyVlpaOGjVKX18/NzeXz/r666+JSKlU8v+qVCpPT8/69etHRkYyxk6fPi2RSPgdkMDAQKlUOmzYsOzsbMbY06dPTUxMnpMQurm5jRw5Mjo6WiKRCLnfwIEDO3ToUFpaKpPJhNhZuHChTCbz9/dXqVT5+fk+Pj46OjqPHj1iaglhbm6ulZVVu3bt+OUCT+r++usv/iFIJJLdu3crlcqcnJypU6deunTpBRPCVatWSSQSfsGdkZHRtGnT1q1bP2uPcnJysrOzvby8Fi1alJ2dnZ2d7erqunTp0uzs7Ly8PGExJIRvkkZCSESzZs3iXwf/bQvXajt37iSi6OhoYd2BAweam5vzgL1//76+vv7cuXMZY97e3jKZbNu2bWlpaXFxcTwhdHV15fd3bty4YWZm1rdvX8ZYUVFRnTp13N3d+UVkUFCQtbV1ly5d2L8TwqdPnx47dqykpIQx9uTJE3Nz84kTJwrVsLW1/eSTT4T/Xrt2TSqVTp06tbS0tLS0dNiwYcbGxjk5OYyx0aNH6+np/fbbbwqFQqVSbdmy5TkJ4Y0bN4goMDBw4cKFtWrVKisrY4ylp6draWn5+fn98ssvRMTHYOQP/N3d3fmlc1BQkI2NzQcffMD+nRDu2bOHiH744QeVSpWXl9emTZtGjRopFIrS0lInJycXFxd+ULpx48aECRNycnJeJCFUqVQeHh5OTk78sz158qREIvnll18q3KPS0tLs7Gx+URsSEpKdnf3XX38RUURERHZ2Nv941ZWUlNjY2PBvCqqORkLIMzd+ivnmm2/Uj8O7d+8mIv5dcz4+PmZmZnzokeDgYAMDg88//5wx1rZtW5lMtmXLlrS0tNjYWJ4Quri48BPTrVu3zM3Ne/fuzRgrLi6uW7eum5sb//Xevn3bxsamc+fO7N8JYW5urhCD0dHRFhYW48ePF6phZ2f38ccfC/+9ceOGVCqdPHlySUlJWVnZiBEjjIyM+G3csWPH6unp/frrrzwGeV/xZyWEt27d4uepRYsWWVlZqcfgrl27ePzy0C4uLq5Xr957770n7IWtrW2nTp3YvxNCHo8rV67k58p27do1bNhQoVCUlZU1aNDA2dk5PDycMXbz5k0egy+SEKpUqubNmwsn/VOnTgkn/fJ4DPLWFvyRbGBgIBE9fvw4Oztb/VbO1q1blyxZ0qhRI09PT34YfLcgIawJXiohtLe3371796ttCAkhsHIJ4cGDB4VZXbp0adOmjfBfjYRw/PjxlpaW/AzBGOMPzf744w9+DlO/yPPw8OjQoYPwX97IhP/wGjRo0KdPH2FWVlaWrq7uwoUL2b8TQnV8YBt+EczKJYRhYWHC5TXXqlUrfmk4aNAga2vrgoICYZaZmdlzEkJjY+Mvv/ySMebl5cUv/nJzc/X19detW8cYq1ev3vTp0/mSdevWHTRokLBiWlqalpbW4sWLmVpCeODAASK6fv06X0apVBobG3/66aflPwTuBRNCLy8vftLl1q1bR0Q8ea6QSqUyMTE5cuQIY6y0tFRHR+fkyZMayyAhfJM0EkJ7e3thVkhICBH5+/vz/2okhHl5eRKJhP9EuSFDhjg5OTHGvL29+W+e4wmhUA5jbM6cOVKptKio6OTJk0R04sQJYdby5cv5T0g9IdTQt2/fli1bCv/VSAinT59uZGQk3KHn116//fZbamqqVCqdPXu2sCR/uPGshJA/foyPj+cl8Fuf69ev19HRyc7O5ifK4OBg9s9J888//xTWXblyJa+8ekLYs2fPJk2aCMv89ttvRHT37t2LFy9qHPq4F0kI+XckPAJljLVo0aJr164V7hF35MgRY2NjlUrFGNuzZ4+VldWzlvzhhx+kUunNmzefUxq8Po2EsHbt2sIsfkLhjV9YuYSwoKBAKpXylinc8OHDHR0dGWNt27ZVPzLzhFAohzE2f/58iURSWFjI+9/y3xXHR1GKj49XTwg19OvXz8vLS/ivRkL42WefGRoaCg1b+HC1+/fvT09Pl8lkM2fOFJY8ePDgcxJCHqGxsbG8hFOnTjHGNm7cqK2tnZWVdebMGSLifUb433/88Yew7o8//shDTz0h7N27t6urq7AMPy3evn2bXz+oH6O4F0kIQ0NDn3XSf5Zjx44ZGRnxGNy7d696WwNB69atGzdurKWlNXz48PT09OeU9nZCH8JXFx0dHR4e3rNnTz7QvLm5+eDBgy0tLWNjY48fP65SqTp16uTu7i4sX1hYGBAQEBcXZ2ho2KtXrwYNGhARY+zQoUOdOnUqKCj4448/SktLefvj4uLiY8eOxcfHN2jQYMCAATKZTCjn2rVr169fV6lUbdu2FVota7hz505gYKBCoXBzc+vRowdvOH7v3r2oqKi0tLSgoCB9fX0DA4M+ffocOnSoUaNGzZo1i4yMjImJ6d69+8WLF4OCgvju8Ebkd+/ejY2NHTx4sFB+UFDQjRs3TE1NO3To4OjoWDUfMLwbeN8DTl9f/zm956OionJzc4VOFLzHeUJCAm+Tpl4OEZmbmwt/Ozg4GBsbR0dHl5WVxcXFDR8+XJhlYWHh4OAQGRlZfltr1qy5fft2RkYGT1fy8/OfVSsimjlz5pw5c/iUgoIC3kv2wYMHLVq0eFYfRQ1ZWVn5+fk8HHx9fZcuXSqXy48ePVpcXDxw4EAi4l3viKioqCgxMXHChAnCutbW1nXq1NHYC16xXr16Cf1GCgsL4+Pjy38ILyUyMrKkpEToH1JWVkZE8fHxQscnQXFxcVFRUVJSUl5enr29fU5OTkRERGlpKf/b2NhY4yuDaqERgET0rPdYPnnyhDG2atWqDRs28ClFRUUqlYpHYvlvUz0G33vvPZVKFRMTw3+WvLUVx9vFRUREaKx+6NCh3bt3x8TEFBUVpaWlPafneVRUVFFRkZ2dHf8vY4yIEhISQkNDVSqV0A3pP8XGxmpra9vZ2dWtW7dhw4b+/v7dunXz9/fv3r27ubl5/fr1+TLu7u4vuBeRkZEJCQlCsCgUCiKKj4/nb1jRaBD4gvimZ8yYIQw7IZfLed3Ky8vLUyqVd+7ccXZ25ofWe/fuubi45OTkyGQy3tBOcPr06UWLFs2aNatVq1avUDF4ZS8VgyqVas2aNT///DOfUlRUpFQq+Wv9ysegeh8H3ko/Ojr6xWPw8OHDu3bt4jGYnp5e/iAviIqKKi4uFhZQj0GlUvlSMailpWVvb+/g4ODi4uLv79+jRw8eiRYWFkIMenh4vHgMxsbGlo9BHg6vE4MVnvTLKx+Dd+/edXZ2Lh+D169f54V37Nhx6NCh/GH+OwSn81d37ty5zz//vEuXLg8ePGjUqNHNmzeXLl26aNGihQsXenl5JSYmzp49+8CBAzyPioyM7NatW05OTosWLeLj42fNmrVu3bopU6aoVKqhQ4f6+vqeO3euRYsWiYmJc+fOXb169datW7W1tS0sLC5dutSrV6+AgAAiYoyNGTNm796977//PmNs3rx5X331VfmxHKZMmbJp0yYPDw9jY+OvvvrK09Pz1KlTJiYmZ8+e9fPzUygUx48fv379eu3atfv06TNhwoQpU6Y0a9bszz///Pbbbzt27Hj37l0XF5dbt259/fXXISEh5ubmfn5++/btExLCLVu2LFmypFWrVhEREampqX5+fkOHDn3DHz68i/ioM/z+osDCwuLEiRPPX1GhUBQXF0v/ofG+WoVCoX7HhIhiY2O9vb2dnZ0/++yzunXrhoWFTZ48+Tm1IqKdO3eqn1r4RC0trecMuKKBJ3v8hDd06NCFCxcGBAT4+/u3adOmbt26fBZ/cPGCe8H/GxgYyDtIcPr6+hWu/uJkMtmQIUM0jhu1a9cuv+TixYv5YxMiUr/E5Pe54uLiMLjUu4Vfbn733Xf9+vVTn64+UsWzyOVyIpLJZPz2ovprqSu8ll25cuX//d//zZ49e+rUqVZWVosWLUpMTHxW4TKZrFGjRn/++af6RHNzcz7+04vHYGxsrIODAw8cHx+fzZs3L1y48Nq1azt27CAiBwcHYZDDF9wLLS2tLl26CPkzZ21tzQ9irxaDvHq7d+9W7+SpEfsCFxcX3jGSiNQH+bCwsOjYsSN/UMkdOHBgzJgxI0eOLP/KDXh78B/Yt99+279/f/Xp/Af5fC8bgz/99NO8efOEGPziiy/44CgVkslkDRs21DgXm5ub8wfaLxWDwhA1gwcP3rhx45dffnn16lXe0JSH58vG4AcffCDkz5y1tTVvEfM6MVjhSb+8xo0bJycn8781YrB9+/bl38ncsGHDESNG/PTTT0+fPtUYs+Ath4TwtcjlchcXl99//5030mjduvX69etDQ0Pt7OyUSqWXl9eqVat4HjVp0qSysrLQ0NC6deuqVKoJEybMmDGjW7du/PLx8ePHoaGh9vb2SqXS09Nz9uzZv/3225AhQ4hozZo1s2bNevz4saurq5+fH8/NPvzwQyKaM2fOypUrp0yZol6l33//fdOmTatWrZo1axYR3bhxo3379osXL169evW8efN8fHwaNmy4ZMmS0aNHl9+drKwsV1fXgwcPSqXSkJAQd3f3/fv3T5s2TWMxhUIRERFhY2NTUlLSu3fvjz/+uFevXlU9wCm8i2Qymfrh3tnZ2d/f38bGRn2UsBdx8eLFsrKyli1bymQyJycn3kuBS0lJiY+PHzlypPryAQEBmZmZjx8/trS0pH8egqnXioiUSiU/IfGRIZKTk318fDS226BBA947kV8xZ2dnFxYWPquSvF0rf0Lo5OTk4eGxadOmmzdv8gZ1RFS/fv1Dhw4Rka6uroODA2/KwiUkJCQnJ/P+8QJesYyMDPWGBpyTkxNvjaaO35lWf/t8SUlJ+Xq6uLiEh4c7OTk9a0cEixcvXrBgwbp1644cOcJvdi5btuzSpUu80eC7daoTJ+Gnzv/boEEDLS2t+Pj4F/n2NZw9e9bCwqJBgwb8Zdy3bt0SxvG7efOmRCJxdnZWv9zcsWOHr6+vcEPB3NxcPSGUSqUaR4YLFy5YWFho/Kh4O5rg4ODu3bvzKc/JKokoNjZWaLHi6+u7YsWKSZMmyWQyfvGtq6tbu3ZtfjHKY+3WrVv8Zo36Xqi/bdzZ2TksLExIMgWurq58FWE8SU5PT+8/A1A44AwaNOg5+8Lx13+3bdt21KhR/K5Ws2bNZs2aNXbsWGEwYYVC8cUXX6xcuXLevHnff//9i6T38MZoxGD9+vW1tbXj4uJeLQbNzMwaNmyYkpJCRLdu3RJuyQm/3qSkJGH57du3+/j4CDcILCws1CO0fAyePXvW3NxcvV0AqcVgz549+ZSXisFly5ZNnDhRKpXyGNTW1ra3t9eIQWH0bH5Sc3Fx4TsoVOzBgwdCkikQYlDjvPkiMchXqfCkXx5vX9q+ffsRI0ZMnTqViJo3bz59+nQ+lJewzHvvvSesUlBQIJFI3rlIxHsIX9eMGTP4ZWWLFi0kEsngwYN5uxc+RDW/RiwsLAwMDJw4cSI/90il0q+//lqhUAgvYhoyZAh/Us/XsrW15dkg/XNjnofx6dOnLS0tXVxc7ty5c+fOHTc3t+Li4qtXr6rX59SpU1ZWVjNmzOD/bd26dd++ff/zCYyAdxQhIjc3N319/QrvJ02YMIEPZK+rqzt79mz+FoGX+tBAJJycnC5dupSamhoeHk5EEyZMyM/P//jjj1NSUkpLSx88eMCHeajQ06dPk5OTy8rKAgMDJ02a1LBhQ19fXyKaOHHi+fPn16xZk5+fHx8fP378eG1tbY0bHLyRJz+Oh4aGqr9Alv45wx09ejQ9PT0tLa1Ro0adO3f+9ttvz507V1ZWlp6evnfvXn4dNmzYsMjIyG+++UYulycmJo4ZM0bjjfPqYmJitLS0hOtLX1/fy5cvl5WVCaccR0fHgoICPkb5xIkTT506tWHDBrlcHhcXN378eH19fY20tkePHg4ODjNmzLh3755SqUxISNiwYQMf8nvSpEkXLlzgr7cqKCg4efJkTExMkyZNpFLp/v37y8rKMjIypk2b9uTJk/L1/Pjjj4OCgpYsWfL06VP+SgneK6M8AwMDc3PzmJgYd3d3fqEQHR3drFkz/jc/2yUnJ9+5c4cfAfjfvDUOvA34RSe/P5KYmMh/Y5s2bTp48GBxcXFOTs7Ro0c1ziDq4uPjCwoKsrKyli5dGhAQMHfuXJlM1qFDB2dn5/nz59++fbukpOTPP/9cu3btgAEDNN5uYmBgEBMTU1BQUFRUtGvXLt6PV9CwYcOrV68mJSXxASHGjh2rUCjGjRuXmJhYVlYWFhbGH8rVrVu3TZs2q1atunbtWmlp6blz57777rvn7G9MTIzQ9rJFixZOTk4XLlzo1q2bcI3r6OjIT2odOnRwcXFZsGAB34sTJ06sXr26f//+tra26gVOmjQpOjp61qxZWVlZxcXFQUFBvEvY+++/7+7uvmjRokuXLpWVlSUlJfHui25ubpGRkfwjvXXrlsbtWs7FxaVjx45Lly49f/48P+D4+fk9evSowj0yNzfnreVbtGhhbm6ura2dmJjI/+a31VJTU7t27bpy5cr58+cPGTLk3r17/PKgwutgePM0YlBPT2/06NGbN28+cOAAj8Fjx45duXLlWasLMfjdd98dPXp07ty5Wlpa7du357/eoKAg/utdtWpVv379NBp6qMfg7t27//jjD/W55WNQqVSOGzcuISGhrKzs4cOH/A3y9vb27dq1W7169dWrV0tLS8+fP//tt98+Z3/VY9DT07NBgwYXLlz44IMP+M1ZUovBdu3aubq6Lly4kO/FyZMnK9yLSZMmxcTEzJw5MzMzs7i4+Pbt27t27SKili1benh4fPHFF4GBgTwGec9DNze3qKgo/pEGBQVV2DjoOSf98ngMRkVF8bjT1dVNSEhQj8HLly+7u7svXLgwLi4uLS1t9+7dO3fu7NWrF+8L8y6prs6LNcDmzZvp34MxSKVS9f76n3zyCR/9mXcy3rNnjzBLpVLxbIq3h16yZIkwa9KkSeodlNV7pXt7e2tra5v/2+bNm9UHlenatWuLFi3U6zl37lxtbW0+hAa/VlMfVMbExGT+/Pnsn2En+GiKnLGxMe/NP3PmzFq1arGKBpXh19zquwY1nsagMny4EWGWerf18+fP89OArq5uWloaY+y3334TLhx1dHR8fHyKi4t5P/jHjx8LK6r3K5BIJF26dBFGoFYoFPPnz9fV1eVz69WrJ4xxIgwqU1hY2KFDByIyMjIyMTHZsGGDTCbj43MyxkpLS4WbnTxg09LShClE5OLiwrvCq1Sq//u//+OtZSQSydixY99///1nDSozdepUPjYAx3Ngb29vYQofmoy/40GhUHz++efCXjg6OgrD2au/diIsLMzT01Oo2Pvvv8+78iuVykWLFgmdG+3s7PiH8M0338hkMolEIpPJJk+e7OvrW35QGcbYd999JzykNTEx4eNMPouXl5cwur2Li8vatWvV53755Zca55R+/fo9pzR4fRqDyjg4OGjMUj/C8yEQiWjMmDGMsfz8/I8++kh43lWnTh1+9Pb29u7evbuwlsaL7IyNjZcuXSqMwxQRESE0IZZIJAMHDuQnDvVBZfjTBh0dHW1t7TZt2kybNq1x48ZC+VeuXOF9ibW1tfkAGEePHhX6L2lpafXv3z8/P58xFhcX5+3tzadbWFgsW7aMnjGojEql0tPTUx/ZiHcQUh86YuTIkc2aNRP24v333xf2YsCAAXxMRY3XTmzcuFF4bqmvry+MohwbG9upUyfhIUCHDh34+1RbtmzJC7Sxsdm/f79UKi3/2onU1NQePXoIH6+rq+vp06ef9XXz6wf+Yg8+jCqvJ8eHyCpPfVhLqHQag8rwV9Sqz1IfNGjixIn8S+GvfpHL5aNGjVKPQR6wbdu2VR9biA8qox6D33zzjRCDkZGRFf561QeVOXfunBCD3t7en376qYuLi1D+1atX+blYW1ubjzt17Ngx9Rjs168fH7s4Pj5eGK7C3Nycx2CFg8qoVCoDA4Nvv/1WmDJv3jzhg+JGjx7Nrx/4XrRu3VrYi/79+/O90HjtxM8//6weg+PHj+eDu8TFxXXu3FmIwfbt2+fn5+fk5PCjk0Qisba25jFY/rUTzzrpV4jnivxqnzdQ4kN/C37++WcrKyteFH8cyl/n825BQvjqXjwh5A/x1ce0LSwslEgkS5cufamEsGfPnuoDtQnUE0JfX1/1mOcFCoOSVXpCeOHCBfp3SgA1Xl5eHh82WqFQZGdnl5aWCrPy8/OFtztwJSUlkZGRcrlcmKJQKB49evTw4UNh9M6SkpLs7GyFQiEs4+HhMWDAgNTU1Pv372sceTm5XP7gwYOIiAjhBMkYy8rKEsrk76u9dOkSv6zMyckRRjflkpKSNIbWTE9Pv3fvnvCyNUFpaenDhw9TU1P5dtUHHdWoksa+Z2dnqy9c/uOSy+XBwcGRkZH89MZlZmZqbCI+Pj44OLj8Caa4uDgiIkKjwpmZmXfv3uWn1YKCAv7JFxUVaXyMRUVFISEhUVFR5Ueu1/D06VNhmZycHI3lCwsLs/+Nf+BQdZRKZUZGBh/uXC6X8/coCLPKv40gIyMjJiZG/TeWk5Nz7969xMREIXzy8vLUvzieEB4/fjwiIiIsLEz9RytISkq6c+eO+s+yuLg4IyNDKDM3N/fKlSshISEqlaqkpEQjOkpLS6OiotRfXsJfZB8WFqZ+uOCys7NDQkKKi4tVKpXGsULAZ6mPAs8PLOqBX1BQoP5xvche8KqGhoaGh4eXf1NZRkZGRESE+kenVCqfPHny4MED/qHl5OQIf6jvLPvngJOSklJ+X9SVlZUJ52U+Ar763KKiouyKqNcfKp16DGr8qF42BoUfs0YM8oTw2LFjPAYrPFC/SAxevXr1pWIwPDz8OTHIh6F6nRgsLCz8zxgsKSl5kzFY/qSv4fkxyCkUitDQ0Fu3blV4xfJOQB/CN6F27dqWlpZnz57l7Y+JiD8NcHNze6ly3Nzc1q9fn5ycLIzGVt5777139OjR6Oho3lBBqVSeP39e6IPEWzw/p9nby/r11191dHSeNdgp1EhCf1GZTKbR30B9+BNOR0eHvz9XIJPJeOt/9WWEtvjqbGxsNNqhCQwNDcuHj3qHb4lE0rRpU+G/5Tu8lQ+iWrVq1apVq/y2tLW1+Qu7+XYrrE+FszQ+nPIfl6GhYfn+gULTGkHdunWFlqjqdHV1Nbow8dWFEoRHiHp6ehqjAujp6an3eXgO9XYv5T9GfX193ncR3hipVCrcjdb41UmlUo3fGBFZWVkJy3NmZmbqD+FJLajV6ejolP+BCezs7DSCSFdXV3joTUQmJiZt27YVitKIcW1tbd54W73yGt2BBOpdm8rvICeRSDRmld9o+RGD/3MveFXVDybqyn+2UqlUvXuYEDLlY+dZBxwNWlpawn7xJkLqc8uHNrwB6jGo8aN622JQuDx7wRjkfVzLq6wYLH/KKL8XOjo6Gh/X2xyDnEwme1YN3xXoQ/gmSCSSBQsWHDt2bPbs2ZcvX969e/ekSZM8PDx69+79UuVMmzZNT0+vX79+AQEB165d2759O2++or7Mxx9/bGpqOnDgwGPHjl24cGHo0KExMTFCHyp7e3tra+vt27efOnXq6NGjr7Y7t27dOnPmzMWLF2fMmLFt27a5c+cKLxIAAAAAAIB3CBLCV2diYuLk5KQ+8JGTk5P6nQMrKyth9KQ5c+asX7/+5MmTXbp0mTdvXq9evc6cOaOtrf38tYhIV1fXycmJ34JycHAIDAy0sbEZOXJkjx49Nm7c6OzsXFZWZmBg4OjoyG8L2dnZXbp0ycHBYfTo0X369ElMTAwICOjWrRsvTSqV+vv7FxcXf/TRR7zJq6OjI3+uYmpq6uTkpD72sTDL0tKSV4m3Dk9OTh4+fHjPnj0DAwM3bdq0dOnSyv5oAQAAAADgTZBoPF8CAAAAAAAAkcATQgAAAAAAAJFCQggAAAAAACBSSAgBAAAAAABECgkhAAAAAACASCEhBAAAAAAAECkkhAAAAAAAACKFhBAAAAAAAECkkBACAAAAAACIFBJCAAAAAAAAkUJCCAAAAAAAIFJICAEAAAAAAEQKCSEAAAAAAIBIISEEAAAAAAAQKSSEAAAAAAAAIoWEEAAAAAAAQKSQEAIAAAAAAIgUEkIAAAAAAACRQkIIAAAAAAAgUkgIAQAAAAAARAoJIQAAAAAAgEghIQQAAAAAABApJIQAAAAAAAAihbw+tXkAACAASURBVIQQAAAAAABApJAQAgAAAAAAiBQSQgAAAAAAAJFCQggAAAAAACBSSAgBAAAAAABECgkhAAAAAACASCEhBAAAAAAAECkkhAAAAAAAACKFhBAAAAAAAECkkBACAAAAAACIFBJCAAAAAAAAkUJCCAAAAAAAIFJICAEAAAAAAEQKCSEAAAAAAIBIISEEAAAAAAAQKSSEAAAAAAAAIoWEEAAAAAAAQKSQEAIAAAAAAIgUEkIAAAAAAACRQkIIAAAAAAAgUkgIAQAAAAAARAoJIQAAAAAAgEghIQQAAAAAABApJIQAAAAAAAAihYQQAAAAAABApJAQAgAAAAAAiBQSQgAAAAAAAJFCQggAAAAAACBSSAgBAAAAAABECgkhAAAAAACASCEhBAAAAAAAECkkhAAAAAAAACKFhBAAAAAAAECkkBACAAAAAACIFBJCAAAAAAAAkUJCCAAAAAAAIFJICAEAAAAAAEQKCSEAAAAAAIBIISEEAAAAAAAQKSSEAAAAAAAAIoWEEAAAAAAAQKSQEAIAAAAAAIgUEkIAAAAAAACRQkIIAAAAAAAgUkgIAQAAAAAARAoJIQAAAAAAgEghIQQAAAAAABApJIQAAAAAAAAihYQQAAAAAABApJAQAgAAAAAAiBQSQgAAAAAAAJFCQggAAAAAACBSSAgBAAAAAABECgkhAAAAAACASCEhBAAAAAAAECkkhAAAAAAAACKFhBAAAAAAAECkkBACAAAAAACIFBJCAAAAAAAAkdKq7goAAMDbIjQ0dM6cOQqFwsXFxdjY2MzMzNjY2MjIyNjY2MTExNTUVPivqalpdVcWAAAAKoGEMVbddQAAgOqnUCg8PT0jIyOLi4tfZHkTExOeHxYWFr733nvbtm2zs7Or6koC1Hhbt25duXKlu7u7g4ND7dq1bWxsatWqZWdnZ21tXatWLS0t3MoHqFoijEEkhAAAQES0YsWKBQsWWFlZzZ4929jYWC6XP336NC8vTy6Xy+Xy/Pz8nJwc/odcLs/Ly1Nf19DQcNSoUb/88kt1VR6gZrh9+3abNm2USqVKpSo/VyKR1KpVy9ra2sbGxtbW1tra2tbW1sbGxtrauqSkpGfPnnp6em++zgA1iThjEAkhAABQRESEh4dHUVHRqVOnevTo8SKrPH36lOeHZ8+enTVrlo6OTlRUlL29fVVXFaCmKiws9PT0DA8P79Sp07hx4zIyMpKTkzMyMtLS0lJSUjIyMtLT0yu8SOVcXFyCg4N1dXXfZJ0BahLRxiASQgAAsVOpVJ07d7506dK4ceN27NjxCiUMHTr04MGD06dPX7duXaVXD0AkJk+evHnz5iZNmty+fVtfX7/8AiqVKj09PSMjIyUlJS0tjV+tpqenp6ennz9/XqFQ7NixY9y4cW++5gA1g2hjEAkhAIDY/fzzz9OmTbO1tQ0LC7OwsHiFEh4+fOjm5qalpRUeHu7o6FjZFQSo+U6dOtW7d28dHZ2bN282a9bsZVfft2/fyJEjXVxcHj58KJViDHmAlybmGHzHqgsAAJUrIaHoq6++I6INGza8WjZIRE2aNBk2bFhpaemKFSsqtXYAopCRkTFu3DjG2LJly17hSpSIhg8f3qBBg/Dw8OPHj1d69QBqPJHHIBJCAABR++QTfTOz6ClTNvj4+LxOOUuWLNHS0tq+fXtMTExl1Q1ADBijJUuiMjOfdu3adebMma9WiEwmmzFjBhF9//33lVo7gJoPMYgmowAA4rVnD40ZQ6amFBZGrz8czLixYwsjIlZ4ezv+9FNl1A5qoAcPHrz33nvvXHuqKvXLLzR1KrVpk3PgQOHrDMtUWFjo4OCQmZl55cqVtm3bVmINoSZBDJaHGMSvAQBApDIzac4cIqK1ayshGySi7V9+6R8U5LhuHT15UgnFQY0THR3drl279u3bR0dHV3dd3hZRUTRvHhHRZ5+Zv+YgvQYGBlOnTiWilStXVkrdoOZBDJaHGCQkhAAAojV1KmVk0Acf0OjRlVOgtEEDGjOGFApaurRySoSaJTk52cjI6Nq1a15eXr/99lt1V6f6KRT00Uckl9O4cTR0aCUU+Omnn07q3HlFWBg9fFgJxUGNgxjUgBjkkBACgFhkZWWtXbtWqVRWd0XeCn/8QQcPkqEhbd1KEknllfvll6SjQ3v30uPHlVco1BDt2rV78ODBwIEDnz59OmLEiKFDh+bk5FRKyadO0dGjRETBwXTzZqUU+SZ89RXdukX169OaNZVTYK1atTY3aeL65An9+GPllAg1C2JQA2KQQ0IIAGIxe/bsmTNnenl53b17t3JLlsuJv6i2qIie/cbat8s33xARLVtGTk6VWq6DA40bR0olHhJChaysrI4cObJ7924jI6ODBw96eHgEBga+frH37tHy5ZSeTrGxFBn5+uW9CVev0sqVJJXSrl1kYlJ55X7+OWlp0d69FB9feYVCzYEYFCAGBUgIAUAsPvzwQwcHh+Dg4Pfff3/BggUlJSWVVzJt3EhEtHgxxcVVVqmVr6iIhFx4zRpatoymTauCzXz1Fenr02+/UUhIFZQONcHo0aNDQkLatWsXHx/fuXPnzz77rLS09JVLy88nIpo7lxYtqrQavgFlZWRjQ198QR06VGq59euTry+VldH69ZVaLtQoiEFCDKrBKKMAICKFhYXffPPNjz/+qFQqGzVqtHXr1o4dO75+sSNGkJ4effcdrVlDU6ZQ/fqvX+QLWb9+fUBAQIMGDczMzIyNjY2NjY2MjIyNjWvVaqqn18TYmIyMyMSEzMz+bhT65Am1aEHXr5OrKw0ZQgcPVlnNpk+nn3+m1atpxowq2wa88xQKxU8//fTll1+WlZW5ubnt27fPzc3txVdPTKTDh+ngQcrMpDFjqHdvOnyYioqoWTMaObLqav0vP/3005EjR+zs7GxtbWvVqlW7dm0bG5tatWrZ2dWxtq6jp1fBKmPH0rp1ZGJCq1bR2LFkYkJaWpVdreBgat6cjIwoPp7MzCq7dKg5EIOIwb8xAACRuXr1auPGjYlIKpVOmjQpPz//lYsKDWV37rDhw1lMDBszhs2dy6KjK7Gmz7N27VrJMzr/tWu3mYip/zMyYra2bM8eNmUKGzKEqVTM17cqK5eSwkJC2K1bzM+PRURU5ZagEkRERKxYsWLVqlUqlerNb/3mzZuNGjUiIn19/TVr1vxnHZKS2Jo1rE0bJpH8/fM2MWHz57P791lhIXN1ZX5+b6bi7MyZMxKJRFtbu3wMOjn14hVzcWHt2zNfX/bpp+ybb9jNm6x5c/b554yxKo7Bbt0YEfv++6rcBlQaxOCrQQxWlkrPiAEA3nZt2rS5e/fu8uXLly1btmXLlrNnz27evLlbt24vXkJeHh09Sn5+dP48de1Klpbk6EjOznTsGE2ZUnUV/5+srKzvv/+eMda9e/eBAwfm5eXl5ubm5+fL5XK5XG5uXru0lPLzSS6n/Hx6+pTkcpLLSSolCwvy9KT9+6u4fra2dOQIpaVRz570/fc0fjy1b1/Fm4RXFBQU1KtXr6ysLCLatGnT1KlTJ06caGho+MYq0KpVqzt37syZM2fLli0zZ848ceLEzp077ezsNBbLyMg4dOjQnTuGO3eO5j11DQ2pXz8aNox69qT796l2bdLXp127yMCADh8mH5+qrXZubu7HH3/MGOvateuoUaPS09PT09NTUlIyMjLS0tKMjb2Skigvj/LyKDz8f2sZGpKLCzFGld2RuZx58+j8+XeoC5OYIQZfDWKwMlVzQgoAUH2Cg4NbtGjBD4ZDhgzJzMx8/vIqFbt4kY0ezQwM/r4tamrKpk5lw4YxxlhJCXN1ZdHR7A3c4R05ciQRderU6QVvJ+fmsqQkFhbGFi1iSiXz9WWDB1dxFXv1+vuPtDQ2ZkwVb6wmSytLu5J/JVuRfU1+7WHRw0osWaVSrVixQktLi4jMzMysra15LJiZmX3++efRb+xh9z8OHz5saWlJRLVq1Tp27BifmJOTs3v37r59+/KHAPXru+jpsb592e7d7FmP9nv3ZkRsx46qre2IESOIqGXLlqWlpc9aJjubPXzIAgPZb7+xtWvZF1+wa9fY8OEsN5cNGsR8fKq2hiwqip08yZYtY+fPV/GWajjEIGLwFb07MYiEEABEraysbPny5Xp6ekRka2t76NChChdLSEj49ttvBw48wvNAiYR17sz8/FhhoeaSgYGsZUuWkVGFdT5x4gQRGRgYREZGvtSKCQls40bGGLt3j82aVcWJa58+f/9RVFTF7XJqsov5F4dGD92btXde4rxtmdtO556urJIzMzP79OlDRBKJZMaMGYmJiQqFIiAgoGvXrvySVCqVdu3aNSAg4E22YUtKSuLP6iUSSa9evfr06aOjo8Pro6Oj07dvXz8/v9xcxbNWP32aDRrE/PwYEdPTY/fvV1U9/fz8iMjQ0DDi5VtEDx/OGGP79jEXl8qv2L9s2MB++IElJrIvv2R79lTxxmosxCBi8NW9OzGIhBAAqll4ePiqVav2VOuxMioqqnPnzvyc17dv36SkJD69pKQkICBgyJAh/A6uu3s7Ozs2fz6Liqq4nIgI5u3NiFjXrqysrEqqmpubW69ePSL66aefXrmQ8HA2aBCbN68S61XOxIksNJQxxvbvZ+vWVeWWarLBTwZnK7L539szt5/OPX1DfkPJlK9Z7M2bN+vXr09ElpaWv//++4wZM2xtbVNSUvjcu3fvTpo0ycDAgEeEs7PzmjVrXqer7UtRqVSbN2/W19e3t7cnIplM1rZt2zVr1qSnpz9/xeJi5uDAiNj8+WzcOEbEnJ1ZXl7l1zAhIcHc3JyIdrzSE5Dr1//+w8+PhYRUZsU09e37912fsjLWv39VbqkmQwwiBl/duxODSAhfiUrFLlxghw5V7VMAABG4d++eqakpP+e5urouX748LS2tWmrCT4HGxsa8uc5XX3312Wef8cYzRKSrqzt06NCTJ08pn3EZUFrKRo9mxsbsr7+YvT0jYrNmVUk9p0yZQkStWrVSKJ55j/Y/3bnDJBKmr8/+yXwrW1ERy85mc+ey6dPZd9+xZ7fngefrHtld+Ht75vZdmbukd6ROoU7LU5dnlWW9QoEqlWrNmjW86VerVq3OnDnTtGlT/sD51KlT6kvm5OSsWbOG330gIhMTk0mTJj169Oh1d+nFLFy4kIg6d+78n9eg6m7cYNraTCJhBw+yZs0YERsxopIrplQq+c2jQYMGvU45x44xLS32wQeVVa+KCE/pVSrWt29VbqkmQwwiBl/duxODSAhfyfTpbNs29tdfrHdvlppa3bUBeFft379fX1+fiIyMjKysrIRGKYMHDz5+/PjrJDyvLCkpqX///kQk1KdJkybLly9/kTMivyHq6MhOnGC6uoyIbdtWydW7du2aVCrV0dEJee27moMGVVnWmpPDHBzY4sVV9ZBUTD5L+Oy6/O+72dszt/+Q+oNTqBPdIbpDRveMpsRPeakeTRkZGb179xaaqO3YsYMPXOHq6hocHFzhKkqlslrasG3cuJGIpk6devz48c2bN8fExLzgisuWMSJmYfH/7N15XIxrGwfw30zTRjutlki2si85HA4pB8fOyZ7lIHtKiCwRKXuWkOWIhLJEHFvK7iiFtFMotEr73sz9/vF0eh1y1MwzjZr7+/F5P9OY55prOu9lnvt57vu6ye3bRFmZAMTTk83ENm/eDEBPT++7S47/W24uUVMjAHn8mK3UvrJuHWGWgZ04QXbuFNvb1HO0BmkNCq/u1CAdEJKTJ0/27NnT+CujzM2JsXEVfwICSOU1iStXyN69Ek2fosQun59PCHlT8iahOIGtmOXl5fb29syuCXPmzElPTy8vLw8ICLCwsKjsH62rq2tvby/E8gDRWVpaAujQocPTp0+rf1RREenZs2K+6NGjFSsogoNZy6q4uJjZLWP9+vWiR4uIIFwuUVAg796JHuzfmJFx797kW7dTqWr7WPZxTuKc+Unzrd9ZX8i68DD/IZ/w/bP9zV+ac8I4CAMnjDPo1SD/bH/+937bwcHBLVq0YC52+Pn5Wf+zRaSlpWV+fv53M3n69OnMmTMV/tnVS1tbe684v/48PDwAWFlZDR48GMAXd07+g0BAhg4lAOnfX3DyZLmeXrmJiW1UVBQrWT19+lROTo7D4Vy9elX0aPb2BCAWFqJHqsqHD6SsjOzcSRYtIu7utBiFRmuQ1qCQ6lQNSvuAMCsrS0FBQUZGBl8xatXqX9t4Vf45fZpYWlYcf/9+XdlghKKEkFiSODJ+5LL3yyzfWPp+8j3z6QwrYXNyckaMGAGAx+O5uLi4uro2adKkctleSkqKm5vb53vjdu/e3cPDo9aWTxBCTpw4AWDq1KlPnz719fWtfqu3Dx+Iri4ByLJlZMECApARIyIrl4WIaMWKFQA6duxYUlLCSkALCwKQRYtYCfaPwEDC4RB5ecLS1z/1LS+LX1q/s1Z6poQwdH3c1cDAwNXVNTOzijlsX0xRu3XrFlNfzJ5jNXrTyjlsHA6Hx+NV+XasOHr0KIA//viDuZ3y119/Vf/YzEzSpUtpt272Dg4OVla2AIyNjQsKCkRMqaioqEOHDgBsbGxEDMVITSUKCkRGRgxbdYaEEAUFsno123Gpf6E1+C20ButcDUr7gNDW1hZA+/btX7x4EfFvr6KiSEREFX9yc8nQoSQnhxBCli8n9+9L+kNQlLgsebfkWeEz5vGFrAtnPp1JKkkSMWZcXFy7du2YS6T+/v5MjzUej3f27NkvXhkaGmplZaWkpFS5fMLS0jIgIKAW+q35+fkBGDly5LRp0wB41mS+y717RFaWdOqU6+V1/o8/rgPo06eP6EO4Z8+eycrKcrncR48eiRiqUlQU4XKJnByp9lSg7ykoIMylNBcXliJS35Fdnr0zbeewDcOYMmnYsOG8efM+vxj/H1PUXrx4IdybFhUVqampAYhk+gaJgaenJ4Bp06YxU7grO+BX071793g8HpfL9fPzMzIyAjBz5kwRU1qwYAEzh7zw6+bCwpo9mwBk/ny24hFCCCkoIG3bEoAsXcpqXKpqtAarRGuwbtWgVA8IY2JimBOs0NDQmh5J5s8n8+eTQ4eIJJY5UVTtGBU/qohfxDy+kHXBM9NT6ZmSUZSRa6prRpkwHZWuXLnCtJDp0qXL7du3mS+JRo0a3bp161uH5ObmHjlypE+fPv+/e29ktGbNmuhoNjeD+kJgYCAAU1PThQsXAqjptBxPz7dyckqKioqBgYFMH7npom3EV1ZW1rVrVwDLli0TJc7XJk8mhoYRq1cfZiectTUBSOfOtItMLePz+QEBAcOHD2emYQP4+eeffX19Hz169PkUNSsrqxpNUfvanTt3xo0bt337dqapQ0BAAOufhXHy5EkAU6ZMGTt2LIDz58/XNIKzszMATU3NoKAgpltjja7sfOH69escDkdeXv45q330Y2MrZm6zNI2AEELI3LkEIMbGVeyKQ4kNrcGv0RqsQzUo1QPCoUOHApg7d67wIW7eJO3akWvX2EuKon4gNu9swgrCmMcXsi44pTg1Cm/ELKZXeKYw8fXEmzk3q9l9WyAQuLq6crlcABMmTPDz82Oubnbq1KmaEzJjY2MdHR0r+62pqaklJiYK/9n+U0hICIAePXqsXLkSgLOzc00jzJ07F4Cent7NmzeZL0J3ZgdAoTg5OQFo2bKlcCcQ/yEuLkVWVlZWVlb0HZDTg4OJjAzh8UhNFl5S7IqJiVmwYEHlfXVmA7F+/frduXOncoraoUOHhI5//vx55ub5jBkzABxhvW/SP86cOcP8W2FhYQHA19e3phEEAgEzNf2XX345cuQIc+tGuIVM6enpOjo6EG2vl2+ZOfN9//5L1q+v8T8yVbt6tWLO9jc6lFDiRmuwEq1BdgLWCukdEF65coWZhCbS8p5t2whA2rWjl8Opeuld6bvRCaOXv1++OGnx+azzZz6dKRYU+3zyGfJqCDeMy4wM9SP0HZMd3ya//Y84eXl548aNAyAjI+Pi4uLi4sKMDC0sLGo6wikrK7t48SLzFXvgwAHRPt83xcTEAGjTpg1zgXPlypU1jVBaWtq/f39mvuiZM2c4HI6srOzt27eFS0ZBQYHD4YjpSvD06dMBzJo1S5QgxcXFRkZG1p0752zcyFZilNByc3M9PDy0tLRUVVWHDx/+7Nkz5qqEsbGxiK0dQkNDmTv869atA7Bu3Tq2cv7CuXPnAIwbN27SpEkATp06JUSQ9PR0ZiO1I0eOMNO/mzVrNnLkSCsrq3Xr1u3du/fcuXP379+PjY3N/c+90pgpc7/88st3u4YIITg4GIC6uvp/51At6elEW5sAZNcuNlKjhEdrkEFrsK7gQSqVlZXZ2dkBWL9+PXPJQUjW1jhyBLGxcHeHjQ1r+VHUj6GpbFM/A78CQUFDbkMCAoADznj18ePVxyeXJXt98jr88XBCScKfaX9u6rnpp14/TZs2berUqZV76TISEhJGjx4dGRmpoqJy9OjRS5cunTx5ksPh2Nvbu7i4VM6uqQ6BQPDu3TsdHZ05c+a4u7sXFhay/IH/oaKiAiAvL6/yQU0jyMrKnjlzpmfPno8ePerWrdvy5cu3bt06evTosWPHNm7cWFlZWUlJSVlZWVVVVUVFpfJHNTU1FRWVz9tcCQSC2bNnFxcXz507t7LtOLvWr19/+vRpT0/P5cuXt23bVrggGzdujI6O5rdtu2XZMnbTo4SgrKxsZWX14cMHJyenrl27du7cedCgQSoqKgcOHGAWLwlNX18fQGJiInOvPjExkZ2Mv8JUAZ/P5/F4AMrLy4UIoqmpeerUqXv37s2cOVNFRcXLyysrK8vf37/KFysqKmppaenq6mppaWlra+vo6Ghpaeno6AQHB/v7+6upqXl5eTFXsthlYmLSr1+/+/fvHzlyhOlrIBxCSOCGDebZ2TA3x5IlLGZICYHWIIPWYJ0h6RGpZGzfvh2AoaEhC836Ll8mAFFTIzXZuJOi6gcBEQTlBq34awWznSAAdXX1hQsXhoVVTDS9c+eOpqYmgDZt2ty+fbt79+4AlJWVL168KMTbvXnzBoCent7evXsBzJkzh9VP83+5ubkAlJSUKlfVCxfn6dOnzZs3DwoKKigoUFFRadasWXX+WWa+FA0MDLp3787sM6Gnp5ednc3uZ/zc7NmzRfmY4eHhzHrs+7TJ1o/kzz//rPzPylZnWkIIczp76dIlAKampmyF/cLly5cBDB8+nJkXd+zYMVGipaena2trA7CxsfHz83N3d3d0dJw/f/7o0aN//vnnVq1a/cc5uqKiIpfLPXOGnR7LVWI+bNOmTUX5z7R//34Ac0xMyPv3LOZGiYLWYCVagz84abxDmJ6evmnTJgB79uxhJp6JZPhwDB2Ka9ewbh0OHGAhP4qqOzjgmCqbmv5muip51enTp48dO/bkyRN3d3d3d/cuXboYGBhcunSJz+ePHDlywYIFEyZMSE9Pb9269cWLF5l2MjXVvHnzBg0aJCcnMyOr2NhYtj9QBSUlJS6XW1BQwHxFMeNDIXTt2vXVq1dycnJr167Nzc1VU1Pbt29ffn5+Xl4e8795eXnZ2dmVP+bm5ubk5BQVFRUVFaWnpzNBNDQ0Bg0axDTjEZO1a9eeOHHC29t71apVTA/Y6isvL581a1ZZWZm1tXXfvn3FlCElBOYGQlJSEv5ZyMSKZs2axcbGMncPxHd3ovKmhCh3JxiEkD/++CMtLW3QoEE7d+781qyEwsLC1NTU1NTUjIyMlJSUtLS0jIyM5OTkO3fuFBUVMWmIybBhwzp06BAZGXnmzBlmWl1NxcfHM9vSmNvZoUkTthOkhERrkEFrsA6Q9IhUAubMmQNg2LBhrEWMiSGyskRGhrDa+Iii6qLo6Gh7e3stLS0AOjo6zNTQgwcPMvsvDR06NCsrS5T4Xbp0AcBczGvUqBFbaX9NWVkZwMWLFwGYmZmJEqryBtq9e/eq8/r8/PyUlJRXr16FhoZu27YNgJqamoi/t++aN28eAAUFBVNT05EjR06ePHnu3Ln29vabNm3avXv3n3/+6evrGxAQ8Pjx48jIyMTExE+fPjH7f7i6ugLQ19evzY0iqep49eoVgJYtW7Ibltml+uLFixwOR05OThxLegghN2/eBDBo0CDm/5miLBh2d3cHoK6unpRU411z+Hw+c3jPnj2FTqA6jh8/DqB9+/ZC/D7LyspMTEzARlt/il20Bhm0Bn98UjcgfPbsmYyMjKysbGxsLIth+UuXvjA3nz5qFIsxKaruKikpYdqxtG3bls/nM524HRwcRP/emjhxIgBPT0/mjllGhjC7X1QHsw6eWepgYmIidJyysrIePXoAWLx4cU2PTUxM/OuvvwYMGADAyclJ6ByqIy4urnHjxjW9pNigQQMZGRkOh3Pjxg2xpkcJobi4mMvlysrKlrO6PRLTN3///v3MBLD34pkcFRQUhM+2ftm3b59wcWJiYphVzT4+PjU99ty5c+3atTt37hzTa0C4plDVVFpa2rRpUxkZmQYNGhgZGZmbm1taWlpbW7u6uh4/ftzf3z80NPTDhw9V/qdctWoVM+rIYXZIpn4YtAYJrcE6QuqmjNrY2PD5/CVLlgjdO6FKOWvWDGzT5uPHjyPOn2e6KVKUNJOTk1uwYMHq1avfv3/P4XBOnjx57949pv20iJgJjbGxsW3btg0JCYmNjRXTNEXmDiEzs0XoKaMAduzYERoaqq+vz4yQq+/169dGRkaKiopnzpy5c+fOjh07Fi1apK6uLnQm/61NmzaRkZGPHj1SUVH5Ygpr5Y85OTk5OTmVU16zs7MLCws5HM6UKVN+/fVXMSVGCU1eXl5bWzslJSUlJaVp06Zsha2cBaevr5+WlpaUlNREDPOjWJmuVlqKTZselJaW/vHHH+PHj6/p4e/evYuNjXVzc1u48xem1QAAIABJREFUcOHatWu3bt3KXJ0RB1lZWVtb2xUrVhQWFkZHR0dHR3/rZZqamtra2rq6upqamjo6Oi9fvvT39+dyuZ6enkwTLOrHQWuQ1mBdIV0DQl9f37t372pqaq5du5bdyOrq6k5OTgsWLFi+fPmwYcMUFBTYjU9RdY6ampq2tnZaWtq7d++aN2/OymgQANNkJTY2tl27diEhITExMWIdEBJCIFSXUUZ8/KeNGzcC8PDwYAJWn4GBQb9+/W7duvXo0SNzc/Nbt265ublt2LBBuEyqQ1tbe8yYMTU65NOnT/n5+ZWbQ1I/mubNm6ekpCQlJbF4MlrZ5FBfXz8kJCQxMbF3795sBa/ErI8S8WTU0RHe3rN//bWjm5swi5bnzJnj7Oz84MGD1atXKykpXbt27fnz58ysdXFYunTp7NmzmUXFKSkpycnJWVlZXzxIS0tLTk5OTk5+9uxZ5YEqKiqLFi365ZdfxJQYJQpag7QG6wQpGhAWFRXZ29sD2LRpE7MjNrusrKw8PDzCw8N37tzp4ODAenyKqnPatWuXlpYWGxvL4oCBuUMYExPD7J4nvr4yzHU+gUAAYQeEhGD2bA0Dg4CBA28wSz5qysnJ6datWzt37vT19WUeLFq0iOna+oPQ0NDQ0NCQdBbUN+nr6wcHBycmJvbp04etmJXN7plzUDH1tGDOQfl8vpmZGY/HY+Zd18iDB9i2DVwuVq/uVcOrMRUaNmw4f/78jRs3Hjx4cPbs2W5ubjt27PDy8hImVvWoqKgw//IYGxtX+YLS0tL09PTU1NS0tLT09PSUlJSbN28OHDhw+fLl4suKEgWtQVqDdYOk56zWHubKepcuXdidyf05Zr61kpLShw8fxPQWFFWHMCvR3dzcWIxZVFQkIyPD4/HOnj0L4LfffmMx+OdGjx4N4Ny5cxwOh8vlCrH60d2dAERHh2RmCp/GkCFDAKxatWro0KHMA+FjUdKHOUdxcXFhMebbt28BNG3adM+ePQAWLFjAYvBKT548AdCqVSvhtorOzib6+gQgjo4ipZGWlqaoqMjhcAIDA+Xk5Hg83tu3b0WKSEkZWoO0BusE9rd3/DGFhYVt3rwZgJub2+ebPrPL1NR07Nix+fn5df46AUWxoXK9H4sxFRQUWrRoUV5ezux8GBMTw2LwzzEzPPPz82fPnj1v3jw+n1+jw5OTsXo1ALi7Q5RbaJs2beJwOHv27LG1tWUeVG5HQVHf9XnXe7Y0adKEx+OlpKQwy5bEcXciPT192bJljRs3TkhI0NDQ6Nu37+7duz98+FD9CAsWIDERPXpUlKHQtLS0mLaB3t7eEyZMKC8vd3NzEykiJWVoDdIarBOkZUB4/fr18vJyTU3N/v37i/WNVqxYISMjw+wWWiPx8fETJ05MSUkRR1YUJRHiGBBWhi0sLJSVlU1MTCwsLGQ3PoMZECYnJx86dMjd3Z3ZNqP65s9HdjZ+/x1jx4qURvfu3YcPH15QUBAQEMA8YDaioKjqqFxrxGJMHo+np6fH5/Pl5eXB9pkugMDAwE6dOt29e5cQ0q1bN0LIw4cPbWxsmjVr1qtXLxcXl5iY71wTOXcOp06hYUN4e6OGhVuFZcuW8Xg8Ly8vS0tLDodz+PDhjx8/ihqUkhq0BmkN1gnSMiDs3LkzISQ3NzchIUGsb3Tu3Dk+n1/T7hEAVq1a5ePjwzSupaj6obIBDLthmQHhq1evWrVqJRAImI2e2JWcnHz9+vVmzZo5ODi0atVq7ty5Z8+erf5KQi8v+PtDTQ2sXMfcsGEDh8PZt2/fokWLmAfJycksxKWkgDjuTgDQ19dXVVVl2qexeKYrEAi2bNkyePDgtLQ0U1PTiIiIsLCwtLS048ePW1hYNGzYMCQkxMHBYfhwVQMDLFmCW7dQVlZFHDU16OnBzQ1t2rCQVcuWLceNG1dWVhYQEDB06NCCgoIDBw6wEJeSDrQGRUdrsDZIcLpqLZsxYwaA0aNHi+8t4uPj5eXluVxuSEhITY9NSEhQUFDgcDjBwcHiyI2iap9AIFBSUgLw6dMnFsMePnwYgKWlJdMS8/Tp0ywGJ4T8/fffenp6ABo3bszsnsRQUFAwMzNzcXEJCyv7jxWF5eWkVSsCkGPHWEuJ+aQ2NjZjx45lHrAWmqrXsrKyACgrK7Mbtri4mBBSVFTEzNw+fvx4WVmZiDHT0tKYzUu4XK69vf3Xq/0LCgr8/PwWLVrfuDEBKv40bkxmziR+fiQjg4weTQoLCSFkwwaSnS1iOv/y/PlzDoejrKx85coVAFpaWoXMO1HU99AaZAWtQXGTogFhamoq0zjo+vXrYnqL4cOHA5g9e7Zwh69cuRLATz/9JBAI2E2MoiSlW7duAB49esRizAcPHgDo2bMnc0fdUcQV6/928uRJ5vu1X79+aWlpZWVloaGhrq6u5ubmzKxRXd2eAGnUiFhYEA8P8vp1xYEFBSQhgRBC+Hzy+DFxciIs1nFkZCSXy1VQUAgMDGQevHv3jrXoVL3GfPGxe1GGEPLmzRsTExPmQgkAXV1dR0fHjIwM4aIFBQXp6uoy53k3btz47xeXl5N794idHTE0/P9Z6YoVpEcPsmYNIYT8/rtwWfwXc3NzAC4uLkxfR3d3d/bfg6qnaA2ygtagWEnRgJAQ4uLiAsDIyKi0tJT14AEBAcxFoOTkZOEi5OXlMfclvLy82M2NoiRlypQpAP78808WY2ZmZgJQUlLy9PQEMGHCBFbClpWVMTvTALCysvr6X4nMzMyzZ8+uWXPNwOD/X4EAMTQk8+YRHx+irU2Sk0l+Ppk+nZWM/oXZ0nfhwoWVD9h/D6o+6tChA4Bnz54JBIKRI0e6u7vn5eWJGPP8+fPM7k2GhoYrV65kZnEDUFRUnDVr1vPnz6sfqry83NHRkWn2ZmpqWtMv0Kgosnkz6dWL3LtHrKzI/PkkOlosJ6M3b94EoK2tfebMGQAtW7YU/YYMJSVoDbKC1qBYSdeAsKSkpHXr1gD27t3LbuSysjKm4Ldt2yZKnGPHjgFo0qRJfn4+W7lRlAQx27KvWLGC3bBbt249e/bs33//zXwdij515OPHj2ZmZgDk5eWPHDny3dcnJBAPD2JhQTQ0KoaFhw4Ra2syc6a4BoRxcXEyMjJycnJBQUHMgzdv3rD/NlS9M2zYMAA+Pj7MVUsAqqqqNjY2r169EiJacXGxtbU1E2fs2LFZWVnM8/fv37ewsKhs4t29e/fjx49/99prWlraoEGDAMjIyDg6OoqyKVRODrGyIhkZZMIEsZyMkn/mO3h4eDCro8+cOSOWt6HqHVqDbKE1KD7SNSAkhPj5+TVo0Hjo0Aei7Az2NaYHbqtWrZhZ3UITCATMBIC1a9eylRtFSRCzW+CIESNYj1xWVjZv3jwlJSVZWVkVFRVLS8uAgADhQoWHh7ds2RKAnp7e33//XaNjy8tJSAhxcSGPHpFt24izM7lwQSwDQvLP7da5c+dWPhDL21D1S/fu3QGoq6sfPHjw3Llz5ubmHA6HWSZkbm7u7+9f/UUKL1++7NKlCzNFrcr9RRMSEuzt7TX+2WiFmcOWnp5eZbTPp6jdvHlT+E9ICPnnZJQQ4uFBfv5ZxGBVO336NIA2bdocPHgQgLGxMV3fQVUHrUG20BoUH6kbEBJCxo4tBMiiRawFzMzMbNSoEQB/f3/Roz169IjD4SgoKNDL/1Q9EBkZCaB169bshk1NTe3bty9zQ69yqgyADh067Nq1q0aLKHx8fBo2bAigW7duiYmJQqf05AnZto0UF5OhQ8U1IIyLi+PxeK1bt46IiOByuVwuNyoqSizvRNUjkZGRcnJyTIFoa2uvXbv27t271tbWlQ2TDA0NXV1dK+8zfEvlFLU2bdo8e/bsP16Zl5fn4eHBzJphitTCwuLzSy3MFDUulwtg4MCBKSkpon/M0lISGkoIIXw+OXCAREaKHvJLZWVlbdu2nT59empqKtME7tKlS+y/DVXv0BpkC61B8ZHGAWFUFOHxiIwMefGCnYDz588HYGZmxk64f+4DWFhYsBWQoiSlpKSEx+PJyMgwN889PT2FXvJe6enTp8zOTk2aNGG68sbExNjb22trazNffnJycsOHD/f19f3vBQYCgcDV1ZW5UjtlyhQR551GRxNm8e+tW4TVNjf/EhgYWFJSkpSUxMwLCgsLE9c7UfVIXl6er6/vTz/9xBSIjIzM8OHDL1686Obm1qJFC+ZJZWVlKyurKi8xFBUVVTlF7buqnMP2+vXrz6eo8f+jY69QDh8mABFTQ/GSkhJCSEhICJfL5XA4T548EcvbUPUOrUG20BoUE2kcEBJCFi4kABk4kIVQUVFRPB6Px+NFRESwEI4QQsj79++ZWxZ37txhKyZFSQqzcDciIiI0NLT6o7VvOXXqFHNV9eeff/7iomZ5eXlAQICFhUXlJvK6urr29vZVrtPIzc0dNWoUAB6P5+rqKuRnq0p0NBk9moi2mvg7Ro4cCaB///5ifA+qPgoNDbW0tKwskG7duh04cODUqVP9+/dnnuFyub/99tvns6/j4uL+e4rad8XHx9va2qqqqjJvwVyCadKkCbPtNevS0oiiIuFwiJhun+fn57dt2xbAggULxPIGVL1Ga1B0tAbFQUoHhJ8+kUaNCEBEv9XM7NlibW3NRl7/5+TkBKBLly6iLPClqB9Br169AAwfPvzx48fDhg2rvFTZtGnT1atXx8fHVzNOeXn5511AmcuEVUpOTnZzc+vYsSP+0b17dw8Pj8rGbi9fvmSWpDdq1OjWrVssfMjP3LhRsTVTbi67gSucOHECgIaGRmpqqljegKrvUlJSHB0dNTU1merQ0tKyt7e/ffu2tbU1cy1yxowZzCvPnTvHnER+d4radxUVFR0/fpy5ja+vr/+tRU2smDePAGTWLLEEt7KyAmBsbFxUVCSWN6CkAK1BUdAaFAcpHRASQvbsIQBp1YqI0gXm/PnzzJnZx48f2UuNEEIKCwuZWQQeHh7sRqaoWsbMqQagpqZmZWV1/fp1Nze3yrUNlaO1/+6sm5mZyUxx4fF4u3fvruZbh4aGWllZKSkpMW/E9J6ZOXMmswyjU6dOryu3EWTVL78QgDg7sx85IyODOYc4fvw4+9EpaVJcXOzr68vs6FU5h+38+fOurq7Pnz//fIrauHHjslnaZJrP56elpbES6j8kJBAZGSIvTz58YDny1atXORyOvLx8eHg4y6Ep6UNrUAi0BsVEegeEZWXEyIg0akSePhUyQuUmFmLaHNPHxweApqZm9SeLU9QPiM/nT5s2jekWzejatevevXuDgoK+Hq1V2Sk0NjaWmR/SuHHj27dv1zSBwsJCX1/fysZujPHjx4tvc5fAQAIQNTXCeu0ymxCamZnR1moUW+7fvz9+/PjKOWzdu3d3dXXt1KmTKFPUJM7ComKnbBalpaUxd1eqf02KoqqD1mA10RoUH+kdEBJCIiPJxYuE2b0zPJzU9FaBs7MzACMjI/HtjMnMKV+6dGmNjkpJIadPE0JIaSm5ckUsiVGUEKKiouzt7SsnyTB9z3x8fDw8PCovkTLzQD7fKfTy5csqKirMMPLt27eiJBAdHT169GhDQ8Pff/9d3AMqU1MCkA0b2Ix5+fJlAA0bNkxISGAzLkURkpKS4urq2qRJEwDMiWnbtm3r7jX4J08IQFRUWLsoIxAIhg8fDmDQoEH0cgwlDrQG/xutQbGS6gEhIcTOjpibk9JScvgwuXatBge+fv2aOUm9ceOG2LIjz549k5GRkZWVjY2Nrf5RoaFET4+EhJCCAjJtmviyoyhhlJSU+Pv7W1hY8Hg8ZgTYpEkTe3v7gICAyk6hY8aMIf90AWX6Yk+aNKmgoEDSudfAgwcEIKqqhK0tT7Ozs5kThX379rETkaK+UlxcvG/fPua+ROWa2zpq4EACkC1b2InG/FrU1dWTkpLYiUhRVaE1+C20BsWKQwiBFFu2DO3bIzMTGhqQk8OSJVW85qefdj9+vP6LJwsKCsrKyszMzG7duiXWDGfOnOnp6amgoKCgoPBVYosfP3b6+pC9exEfj+fP4eWFRYtw/LhYE8SuXbvWrVsHoPL8vjoKCwtbtWp17tw5IyMjsaVG/dCSk5O9vLwOHz6ckJAAgMvl9u7de8qUKRoaGi1atDA2Np42bZqfn5+MjIyzs3NlO5k65NdfERCAtWvhVEWZ1tisWbP+/PPP3r17P3jwgBkkU5SYqKqq5ubmZmVlMatt66gbNzBkCLS18fYtvvr+rJmYmJgePXowk88tLCxYSpCivonW4BdoDYqdpEekEmZnR96/J1OnEkdHcuwYAar407+/a5W/Ok1NzVrYFmLJkiWVXRm/0L+/XZUJe3qSrVvJ2bNk61ax3yHMyMhQU1Or0VCwEo/Hs7S0FG9+1A9PIBAEBgZOmTJFUVGR+T+Gurr64MGDmzZtCkBDQ+PmzZuSzlFIISGEwyFKSkT0Xm5BQUHMMnq6Ez1VC4yNjQHU3blqlbp1IwA5ckSkIKWlpT179gQwS0w9EynqK7QGP0drsBYIcx5f/zg7o3dvHDmCT5+q+FsOx4YQqy+e5PP5ysrK8vLyYk3s9evXHh4eAoHg1q1bn/fk+CcxhSrv78bHIz0dv/+OCRNEvSTzXWvXrs3Ozv7ll1/Onj1buR66Ol69emVqanry5EkrK6u+ffuKL0PqB8fhcAYOHDhw4MCcnBwfH58TJ048fPjwxo0bHA7HwMDg6tWrTDuZuqhnTwwdiqtXsXMnXFyEj1NYWDhnzhxCyPr16+kddaoW6OvrR0VFJSYmMm0t6i47O8yZg8zM/z/j5QUuFzo60NaGlhY0NfFZq6mqrV279smTJwYGBrt27RJrthRVidbg52gN1gKpHhAmJ6NnTzRsCDU1bNuG5s2hrl7lC+UB8Q78vsXOzq64uHjGjBkvXrxo2LDhTz/9VJ2jtLXRuTMAODvj3j28f4+mTcWSXlRU1JEjR3g8nru7u5aWVo2ONTExsbW1dXZ2trGxCQkJoVPgKFVVVSsrKysrq+fPny9ZssTQ0HDz5s3MksK6a8MGXLuGs2excSOY++hRUXj3DkpKUFaGsjLU1KCsjP++luLg4JCQkNC5c2c7O7vaSZuScvr6+gASExMlnYioxo8HITAwAIDgYDRqBHt7pKT8/wU8HrS1iZZWDx0dbU1NTW1tbV1dXU1NzWbNmjFN3R48eLB9+3Yej3fy5EllZWUJfQ5K6tAapDVYy6R3QEgILCyQlYWOHaGmhsmTJZ3QV4KCgi5evKikpDR16tTBgwfLyMi8fftWV1f3uwc2b47mzQFATg7u7ti+HeHh3znjFI6trW15ebmNjc3ne8pVn4ODg5eXV1hYmJeX1/Tp01lPj6qjunTpcvfuXUlnwY4ePeDtDVXVitHg33/jwgVs3/7lywYMmB0ZeUlFRUVVVVVZWVlJSUlZWdnJyalNmzbBwcH79u3j8XhHjx6t0U14ihJa8+bNASQlJUk6EVHxeHjyBJ6euHwZz5+jVStMnoyUFCQnIz0d6en4+BFFRZnPnj394sB27drFxMTk5ORMnTqVz+c7Ojp+3gmZosSN1iCtwVomvQPCU6fw6BG0tdGkiaRTqQqfz7e1tQXg4OCwZcsWPp+/ePHi6owGGR8+YNUqDB6M/Hy8fIn9+6vulyOK8+fPBwQEaGhorFmzRrgIDRo02LRp07Rp0+zt7ceMGcN0baWoeqZvX3TqhJs30bMndu7EkCEYPBh5ecjPR14esrORl4fCwoyPHz9+/Pjx8wPt7OxKS0tnzZrF5/MdHBy6d+8uqY9ASZt6c3eCYWWFzZvRpAlyc/HkCXR00LEjNDWhq4vGjSEjoyYj86C0NCM7Ozs1NTUtLS09PZ2Z87JgwYLExMQePXqsXr1a0h+Cki60BmkN1jIpHRAWFcHBAQBcXKCqKulsqnLw4MEXL14YGBi0bNnSwcGhpuOua9fg5YXbt7FzJ8aPx4YNmDIFjRuzll5xMTZs2Ahg06ZNjRo1EjrO1KlT9+/f//jxY589e+YIO7CkqB/clClwdsb58wCQnw99/f9PGWVmjcrLn+FwbnG5HIFAAEAgEBQVFbVq1Wrjxo1RUVFt27Zdu3athD8DJU3am5qODQ3VaNBA0omwo18/3LyJ4mJwubh37+u/5w0YcOfOnTXKysp6enrMpLXy8vKJEyf6+Pg0bNjQ29ub3pynahmtQVqDtUxKB4SurkhKQteu+DEnKmZlZa1fvx6Ai4sLc1HE2dm5RuOuP/7AoUN48gTR0RgyBNevw9ER7u6sZbhzJ9LSro8f725l9WW7nRrhcDh73NxUly9vs3kzJk+umGZOUfVLgwawtMT+/QBw6xauXPnyBfLy3JKSkZ8/Iycnp6SkVFhYyOVyjxw58vWuMxQlPnoaGokfPhSUlUk6EdZs2oSuXeHhgTt3KuaqZWQgORkZGUhLg7Jysby8fF5eXlxcXFxcXOVR6urq1tbWbdq0kWDmlHSiNcigNVhrpHFA+O4dtm8Hh4Pdu/FjtjJZv379x48fTU1NX716FR8fb2xsPHv27BpF4HLh5oa+fbFlCy5fRmAgPDwwdy5Y6VaVmootW5CbqzN79sZv7IhRAz179ULLlrh/H8uXV9xDoah6Z9w4TJ2K0lLY2WHECOTmIi+vYuJodjbKy0vT03/Oy8vLz8/PysrKy8srLS399OmThoaGoqJijx49JJ0+JV0ay8ryOJzMsrJSgUDux/yarLYRI6CsjIYNcfw4WrdGixZVvmojsDErKys1NTUjIyMlJSUtLe3UqVPBwcGvXr2q3XwpCqA1SGuw1knjxvRTp/K9vWUmTcKpU5JOpSoxMTGdO3cWCAQ3b94cM2ZMbm7uzZs3Bw0aJESoiRPh44NJk6CpiT17MHiw4Pp1Fv5ZmTYNXl4YNw7nzokeDACQloY2bZCbixs38OuvLAWlqB9CRgb8/GBlhfh4/PknNm+u1lHFxcW5ublDhgx59uzZ7t27ra2txZwmRf3LyIiI5NJSvw4dmol5d6Uf1ocPHwwMDPh8flxcXKtWrSSdDiV1aA3SGqxNdfuqgxDu378fGGgyYEDCli2STuUbli5dWlZWNnfuXE9Pz9zc3HHjxgk3GgSwdSsUFXH7Nv+332LNzN5HRw/08/MTMb2wMHh7Q14erq4iRvqMtjbs7QHA1hbl5ezFpSjJ09QEM7Ha0LC6o0EACgoKWlpalVPHCwsLxZUfRVVFR14eQGppqaQTkZgmTZpMmjSJz+fv2bNH0rlQ0ojWIK3B2iRdA0KBQLB06dLU1Kempt7Nmkk6m6r4+/tfv35dXV197Nix3t7e8vLyriIMvJo3h7Pzi7w8vdWrp44Zc+ndu7vLli0rLi4WOiAhWLgQAgHs7GBoKHSYqixbhtatER2Nw4dZjUtRddjIkSNNTExSU1MPHjwo6Vwo6aIjJwcgRYpPRgHY29szi3i/6ABMUbWA1iBoDdYi6RoQHj16NDQ0tGnTpj/m/s6lpaXLly8H4OjouHr1aoFAYGdnZyjawGvevNaNGyuGhYXJy8t36tTp9evXu3btEjra6dMIDoaeHlatEiWpqsjJVdxzXLcO+flsR6eouqryJmFeXp6kc6GkiK6cHKT77gSA9u3b//bbb4WFhe4s9mSjqOqhNQhag7VIigaEeXl569atA7B9+/aGDRtKOp0q7N69++XLl+3bt1dRUQkODtbW1rZnJlKKQFFRcfPmzQBWr169adMmAJs3b05OThYu2ogRWLkS27ZBSUnEvKoydiysrODtDSUlSN/SVoqq0tChQ/v16/fx48f9TJdSiqoVvVVUFujp/ST128OuWLECwOnTZwsL6bcSVatoDTJoDdYOGebyszRYvXp1QEBAnz59duzYweFwJJ3Ol9LT08ePH19SUnLo0KFly5bl5eXt37/fxMRE9MgdOnQICgqKiYlp1qyZlpbWixcvMjMzR48eXf0Iu3ZV7Gd4+zZ4PHHu1TFiBB4/xvbtuHMH165hyBD8eP+lKKqWNWvWLCYm49WrWePH60lrcwGqtl3JzEwsKUkqLuZyOFLb0wKAvr7+27fGDx/u0NKSZeMLmaKqi9Ygg9Zg7ZCWLqNPnjzp169fWVlZcHDwj9nDvVevXiEhISNGjOjYsePmzZu7d+8eEhLCZanX8LNnz3r06MHj8a5evTp8+PCSkhIrK6umTZt+8TJl5Vl5ebpfPMnjQV4eoaGYPBkyMnj/HjXcAqMmioowYQL8/QFg+3Z06IAhQ8T2ZhRVZwwYgLt3sXEj1qyRdCqUdNj/4cPQRo1a0g0wAT8/jB2Lli3x8iV40rhXFyUZtAYr0RqsBdLye7116xaHw9HU1PwxR4MAYmNjAYwZM6Zjx453797dvn07W6NBAF27drWyslJWVu7Zs6eJiUl8fLyHh8fXL+vZc/aTJ18+KS8PFxcsWIAtWzBzJlsZfUNKyv93qOnUCTExdEBIUQA2bUK/ftixAwsXQl1d0tlQ0uFISoqyjIyltnYTKb47AWD0aBgZIToa585h4kRJZ0NJE1qDDFqDtUBaBoSdO3cuLS39+PFjeHh4586dJZ1OFQwNDZ8+ferv7z9z5swHDx6wHv/AgQMA3r17FxoaWlRUNG3atGZfNVpVVRV8vQugrCwA8HhYvhwODuKcLwpARwfv3lU8fvkSLVuK880oqs7o2xcDByIoCLt3Q2qm+VMSNltXl96dAMDhwNYWc+bA1RUTJtB1DFTtoTXIoDVYC6RlyigAGxub3bt3m5qaBgUFSTqXKqSlpbVp0yY3N/fGjRu/im1z9vHjx589e3bKlCknT56s/lG7dqFPH/TqhenT0a+fOKeMAti7F9HR0NbGmzf480/IyIjzzSiqznj0CD//DBUVvHkDDQ1JZ0PVd3S62udKSmBggORk3LwJYTcGpqiaoTX4OVqD4iZFTWV69ep19OjrzMftAAAgAElEQVTR6Ojojh07GhkZSTqdLykpKQEIDAx8+vTp3LlzWZwvWunhw4fLly9XVFT08/NTVVWt/oFdu6JpU3C5GDgQ167h40cYG7OeHQBg7VqMGgULC3TtiilTIIZfAkXVUc2a4fFjREdDVhYDB0o6G6q+M2rYsJGsLJdeigcA8HgoL8etW0hJwbRpks6Gkg60Bj9Ha1DcpOiEW11d3cnJCcDSpUsLCwslnU4V7OzsWrduHR0dXeUCPxEJBIIlS5YQQlatWtW8efMaHaugULGK9/JlbNoEOzsUFLCeIHDpEjZtgqkpeDxoaorhDSiqbnNyAoDoaEnnQUmBhjIyMvRM9DPz5sHQEP37QyCQdCqUdKA1+AVag2IlRQNCAFZWVp07d05KShJlc3bxkZOT27JlC4C1a9dmZmayG/zw4cNhYWHNmjWzs7MTOsjkyTAxwfv32LqVxdQAAKWlWL4cANasgXQvnqaobzExQVAQLCwAoLQUV6/i2TPExwNATg4CAiSbHUXVZ6qq8PREXh64XLx/jz//xLFjFdUXGYnTpyWdH0XVd7QGxUq6BoQyMjLMUHDz5s1JSUmSTqcKY8aM+fXXX7OysjZs2MBi2NzcXGZu8I4dOxo0aCB0HC4Xbm7gcLBtG96+ZSs7AMCuXXj1CkZGmDuX1bgUVa8oKWHFCoSEoLQUZ88iNBRxcQCQlYWrVyWdHEXVax8/4u5d3LyJwkIkJCApCfn5AJCbi/fvJZ0cRUkBWoPiI10DQgCmpqbjxo0rLCxc86Pu57Vr1y4ej3fgwIGIiAi2Ym7YsCE1NfXnn3/+/fffRQzVuzcmTUJREeztWUkNAJCWBhcXANi5s6KrKUVR32Blhc2bwedX/Hj/Pnx8cOWKRHOiKOmwYAH27UNxccWPW7fC2hpubhLNiaKkCa1BMZG6ASGAbdu2KSgonDx5Uhy7O4jOyMjIysqqvLzc1taWlYDx8fHu7u5cLtfNzY3Dxnz0rVvRsCF8fXH3rujBAACrViEnB6NGYfBgliJSVL3VoAGmT8f+/RU/Nm6Mpk2hqyvRnChKOsjKwtYWO3ZU/LhiBfbsgY2NRHOiKGlCa1BMpHFA2LJlSzs7O0KIjY2N4Idcmrpx48ZGjRoFBgb6+/uLHm3JkiUlJSWzZ8/u0aOH6NEANGmCFSugoSE4dOi86L/A50+fXo6Ohpwctm9nJT2KqvfGjEF4eMXj9u3x88/o3l2iCVGU1DA1pT0tKEqSaA2KgxTtQ/i5wsLCdu3avXv37vjx49N+yP61e/bsWbJkSatWraKiouRFaLISEBDw66+/qqioxMXF6ejosJVeYSHp1at/ZOT9Q4cOzZkzR+g4hJB+/fo9fPjQY+NGqx91Ei9F/SCSk5GdjcxM9OuHN28QGopmzaCiAiMjfPqEe/cwerSkU6SoeurwYfToAV1d6Ojg0yd8+gQA2tpQVkZ2NrKy0LKlpFOkqHqN1qBYSemAEMCJEyemT5+ura398uVLFRUVSafzpfLy8m7dukVERGzdunU5035TqCBdunSJiorasWPH0qVL2c3Qx8dn4sSJWlpacXFxampqwgU5derUlClTtLS0Xr58WaOtESlK2hCCX39FVBQuXMBPP0k6G4qSJkFBGDQIGhpISMCPd75AUfUfrUFxk94BYeW9KQcHB2dnZ0mnU4XAwEBzc3NlZeW4uDhdXd0DBw5UfwbpwYMH9fX1d+3atXTpUkNDw8jISFFuM37LgAED7t69a2dnt12o2Z5FRUXt27dPTEw8evToH3/8wXp6FFWfHD2K2bPRuDGioqClJelsKEpqZGejc2ckJWHjRtCJLBRV+2gN1gLpHRACCAsLMzEx4fF4kZGRrVu3lnQ6VRg5cuTly5dnzZp15MiRxYsX79u3r5oHRkRE6OnptW7d+tOnT1euXBk2bJg40nv+/HmPHj24XG5ERETbtm1rerijo6OTk1PXrl1DQ0O5XGlczkpR1ZSSAmNjZGXh1ClMmiTpbChKmkyahDNn0KcP7t2DjIyks6Eo6UNrsBZI9YAQwPTp00+cODF69Ghvb+8aHZifn6+mpiYnJyemxBgJCQnGxsZlZWV37txRUlJKTEys5oG9evVaunTpmTNnzM3NA8S5X7WVldXhw4d//fVXX19f2ZrsGPHq1as+ffoUFRXdvXu3X79+4suQouqBsWPh54dhw+j2EhRVq06cwPTpUFLC06f4Ia8bU1Q9R2uwdkj7gDA5OdnQ0FBGRiaf2duyJnR0dM6fP9+nTx9xJFZp8eLF+/fvF66ZJ5fLjYyMbN++PetZVUpPT2/dunVBQQG/clu0apORkRk/fvypU6fEkRhF1Ru+vpgwASoqiIpC06aSzoaipMa7d+jcGVlZ8PTE9OmSzoaipA+twVrDk3QCElZSUsLn8zkcjoKCQo326CspKUlNTV2/fv3NmzfFlx6AoqIigUAgKyvL49XgPxYhRCAQzJ8/X6yjQQBaWloODg4bN24sLy+v0bTP0tJSAwODVatWiS83iqoHMjMzd+5UABpu20ZHgxRVe/h8/vz5c1q3dtHX16ZnohRV+2gN1iZpv0M4duxYPz+/6dOne3p61ujAuLi47t27FxQU3L59e8CAAWJJDoiKiurSpQuAZ8+edejQQUzvQlHUD2vatGk+Pn7TpgUcOvRTTa5ZURQlks2bN69evbpp06bPn8c1atRA0ulQlNShNVibpLqTx+3bt/38/JSUlCwtLefNm5eRkVHNAwMCAnbv3m1vbw/AxsZGiNmS1WRra1teXr5w4UI6GqQoKXTt2jUvLy8eT2Bv35iOBimq1jx9+nTDhg0cDufQoUP0TJSiah+twVomvQNCPp9vY2MDYNWqVZs3b/bw8Ni6dWt1DszLy5s0adKBAwfatWvXokWL8PDwI0eOiCPDCxcuBAQEaGhorF27VhzxKYr6kRUUFCxcuBCAk5OToaGhpNOhKGlRWFg4ZcqU0tJSW1vboUOHSjodipI6tAZrn/QOCD08PF68eNGyZUsDA4OgoCANDY2VK1dW50BlZeUNGzYAWLlyJbOBoYODw6dPn9hNr7S0lMln06ZNjRo1Yjc4RVE/vhUrVrx588bExIS5dEVRVPUdOQJmd9t79/DnnzU71s7OLjY21tjY+Mfco5ii6gRag3WLlDaVycoi+/adB+Di4rJmzRrUcNw1b948Dw+PiIiIpKSkAQMG3LlzZ9OmTTt37mQxw0OH7sXHJ3Ts2HHOnDkshqUoqjbt3Inhw9GmDU6fxrBhUFGp7oF///33wYMH5eTkjh49KkP3XaKoGiouRmYmAgMrHm/Z8v+/KihAaSkAqKklZmcfyMrKqvyroqKid+/e3b17V0FB4fTp0woKCrWcNkXVG7QG6xYpbSpjY4OjR8nEiYEtW4asXr3ayMgoPDy8Rm08g4KCzMzMlJSULl68OHjwYA6H8/z5c2NjY1bSS0lB27Zo2TJ39+7YAQNMWIlJUVTtGzMGiorw9sbixVi0CMnJyM+v+JOVhbw85OdDQcH79etLOTk5eXl5+fn5+fn52dnZBQUFpaWl69atY+YjUBRVI/v2wcgIu3Zh/ny8fYuFC6t4Te/e7/7+u/nXz+vp6f3888++vr5iz5Ki6i9ag3WLNA4IY2LQuTMEAty8WTZjRs9378Jv3bplZmZW0zijR4++dOnSzJkzZWVlDx06NGjQILa2oJg+HSdOYOxYnD/PSjyKoiRj0iSYm0NeHo8fo3NnWFlV8ZrevXf9/ffSKg8PCAgwNzcXb4oUVR/t24cuXVBUhB07MGoUkpJQebLToAHk5QFASelDfv5JdXX1yqMUFBTCw8N37tzZq1evx48fSyJxiqonaA3WLdI4IBw6FNevY/58FBbC359YWt7YvXuIEHFev35tZGRUVlZ29erViRMnZmdn//XXX7/99puI6YWFwcQEPB4iI9G6tYjBKIqSpEmT4O2NceOgrAwLC+zcCSUlKClBRQVqahWPNTVD5OUT5eTkuFwuh8MRCAQ9e/Z0d3d3dna2tLQ8ceKEpD8ERdU9zMlo376YMAEDBsDHB/n5FX9FCLKz0bZtWlxcHwAlJSWFhYXMX23btm3KlCna2tq5ubnx8fGtWrWSVP4UVdfRGqxjiJTx9ycAUVcnt24RLpfIyZGXL4WPxuw80bt37+3btwMwNDQsKSkRJT2BgPTtSwCyapUoYSiK+iFMnEgIIU+fkgYNSFgYWbSIzJhBfv+dmJuTXr2IkREZPfqGuro65997SkRERLx584bL5SoqKmZlZUn6Q1BU3XPxIrlwgRQVkfx8kpNDGjYkwL/+dOuW+fUZ0e7duwkhkydPBuDq6irpD0FRdRitwbpFuu4QlpaiY0e8fIldu3DuHB4+hIMDROlglJeX17Zt25SUlBMnTjg7O8fFxe3cudPW1lbogF5emDYN2tp4+bIG/ScoivoxHT+OadPA4cDHB/r66N37yxcMGPDozp2fASgqKiorKyspKamrqx87dqxjx45mZmZBQUEHDx6cO3euBFKnqLqsXz88eABfX1hYAEBICCp7M3E4UFMDh1NMSDIAOTm5hg0bMn+lqKiooKDg7+8/atSorl27Pn36VDLZU1TdR2uwbpGuAaGHB+bNQ7t2sLfHzJnsjLuOHTv2xx9/NGnSZPfu3b///ruKikpcXJyOjo4QocrLYWiIxER4emL6dJGyoijqR9C5M1JScPcu2rdHVha8vKCkBGVlqKlBWZl5nK+iUqaiovJ1K1Fvb++pU6fSdRQUVVOZmdDWBo+H9HRhvuJLS0t1dHSysrJiYmLatWsnhgQpqp6jNVjnSMU+hNnZFROXJ06Eiwu2bYOjIwBs3crCXbjp06ebmJh8+PDhxYsXQ4cOzc3NXb9+fU2DvH8PADwevLyweDFGjKh4/uNHUdOjKEpS0tIQEYHCQhgYAIC6Oqyt8ccfsLDAoEH46Sd06AB9fSV1dfUqN5YYN26curp6cHDwixcvajt1iqrL/P3B58PUVMiveDk5uVGjRgE4d+4cy5lRlHSgNVjnSMWA8OBBTJ4MAHfuoEkT9O2LoUPRuzemTmUhOJfLdXNz43A427Zts7Ozk5WVPXz4cFhYWI2CdOyIhw8BYO9eWFvDxaXi+dmzWciQoiiJuHULhKB//4p2ajWloKAwceJEALSvDEXVyKVLADBqlPARJkyYAMDHx4eljChKutAarHOkYsqoqysSE2FmBllZ5ObC0hIAysogK8vaW0yePPn06dOTJk3S1tZ2c3Nr0aLFkCFfdi5VVW2Rk2P/9bFjx2L/fgDw9cWUKdi8GR4e2LYNAEaPxsWLrCVJUVRtmjEDx49j504Ivaz4yZMnJiYmjRs3fv/+vbxww0qKkjJFRdDURGEhkpLQtKmQQcrLy/X09DIyMiIjI9naYZiipAStwbqoBlux12lz5mDDBowf//9nWBwNAtiyZUtRUdG6devKysoOHz6clZV18ODBL15jZNQzOrqKAaGBAeTlMXUq3NwqngkKgrU1AHz6xGaSFEXVpsBAABg0SPgIPXv27Ny5c3h4+F9//TV27Fi2EqOoeiwgAAUFMDER/kwUAI/HGz169OHDh318fJycnNjLjqLqP1qDdZG0DAi5XKxZAysrLK16/2dRNWvWzM/PD8D48eMLCgr69Okz9asJqQoK2sXFVRzbpw/CwjB8OHx9KxYNDhz4/zuEFEXVRTExeP8eOjoQ8crm9OnTly5deuzYMTogpKjqEH2uGmPChAn0ZJSihEBrsC6SigGhggJkZNClC/r1E3IxTzU9fPjw3LlzioqKp0+fbt68efUPZNrtbtyI8eMhIwNFxX89T1FUnRMQAACDBuHfWwzW2LRp01atWnX9+vXk5GQ9PT1WcqOo+kogwF9/AWycjJqamurq6r58+fL58+ddunQRPTeKkga0BusoqWgqY2ODjh0BYNUqBAbi2DGxvItAILCxsSGErFq1qkajQQBHjwKAvj6Cg9GyJSovhXh7s50lRVG1ghkQmpuLGqdRo0YjRowoLy+nrWUo6rsePUJaGlq1EvXOPAAul8vclqdtLSiq+mgN1lFSMSCsdPcuDh3CypXIyWE/+JEjR0JDQ5s1a2ZnZ8d+dIqi6o7ycty7BwADB7IQbebMmQCOHTsmDT3AKEoUbM1VY1T2OaSlR1HVRGuwjpKuAeHEifjlF6Snw9mZ5ch5eXmOjo4Atm/f3qBBA5ajUxRVpzx+jNxcGBuLtKS+0pAhQ5o1a/by5csHDx6wEI6i6q8hQzBjBn7/nZ1offv2bd68+Zs3b548ecJORIqq72gN1lHSNSAE4OYGLhe7d+PlSzbDurpy2ra1NDU1s7CwYDMuRVF10IsX4HJZmC/K4HK5lpaWAI6Jab47RdVBtrYoKACACxdw4wbmzYOvL8zMYGQEXV1Rg+fk5Ny+fZvD4YwbNw50xhpFVYXWYH0idQPCrl0xYwZKS7F8OWsxX77E9u1K9+9v3b79JkfEDhIURdUpSUlISACA8nLcv49XrxAcjAULEBOD4cNFDR4RETFw4MCMjIxZs2ZxOJxTp06lpKSInjNF1QMfP0IgAID8fBQWIicHFy4gOxtZWSgrEyny06dPu3fvPmLEiOjo6KFDhwLYv3+/gHkziqL+QWuwPpG6ASEAFxeoqsLfH9evsxNw6VKUlmLWLHTrJo2/T4qSZk+fgpnIWVwMDw88fowZM5CVhdxchIaKFPncuXN9+vS5ffu2s7NzWVkZl8stKSkJCwtjJW2KqgeWL8fixfDyqvjRwQGOjiIFJITs2bOnd+/eCQkJ7du3//Tp05o1awCoqalxufT7naK+RGuw3pCKbSe+oKUFBwccPBjn4bHH3Hw3jyfSL+HWLfz1F5SVQXdJoSjpFB+PR49QVFTx46xZWLcO06cLH5AQsnXrVgcHB4FAMHny5N69e/fs2ZPP52toaAwSZZ97iqpftm2DsjIq++926gRZWYSHA8CLF+jUqWbRcnNz58yZ4+vrC8DKysrMzGzEiBHZ2dlNmjRxcXFhN3OKqh9oDdYbUjraXrKEyMuPuXhx/4EDB0SJU14OGxsAcHSEjg47uVEUVbdkZiIpCe/fV/zYvj0aNEBICAAI0RctLy9v7NixK1eu5HA4Li4unTp1mjx5cl5e3sSJE9+9eycv1q1UKaqOW7cOz58jIABdumDuXBQWVvfAsLCwbt26+fr6qqionDx5UkFBYcKECdnZ2WPGjImMjGQW8VIU9V20BusqIq0uXboEQF1dPSMjQ+ggO3cSgBgakuJiFlOjKKrO8PMjnp6EEJKXR6ZMISdOkCtXSF4e6dqVbN5MzMyIvT0pKalutFevXhkZGQHQ0NDw9/dntmCSkZFxdXUV30egqLro/XvC5xNCSHY2yc0lr19XPJ+YSNzciJwcAYixMXn27PuhPDw85OTkAHTv3v3OnTu9evUCIC8v7+bmJsYPQFF1HK3B+kR6B4SEkMGDBwNYuHAhISQzM7PTV4YOte3UiXzxZ/Hi/0fYv5+oqpLLlyX2ESiKkqzgYHL7NiGEFBWR3bvJ3bskLIwQQv76izg5EQ6HAKRLl4on/9u1a9fU1NQAdOrU6fbt2x06dGBGhjdu3BDrR6Co+icignTqRAAiK0scHStOW7+Wk5NT2RvcysrK19eXqcEWLVoEBwfXbsoUVa/QGqxbpHpAGB0dLSsrKyMjEx4enpqa+vXt07ZtJwHkiz/Dh5PNmytO744fJy9fSvpjUBT1o7p7l7RpQwDC4xFra5KfX/XLBAKBq6urjIwMgBEjRly4cEFdXR1A27ZtY2JiajdliqonCgvJokUVF2VMTcn791/eqX/y5ImBgQEAFRUVb29va2tr5qt/zJgxWVlZEsmZouoTWoN1CIcIscalHrG2tt67d2/v3r2PHTv26tWrL/6Wy20rELT+4kktLWzbBg4Hp0/D3h6LF0Nfv7bSpSiqrikqwoYN2L4dfD5atcLhwzA1/dcLiouLraysvLy8OBzOihUrWrZsuWjRovLy8mHDhnl7e6uqqkoocYqqDwICMGMGFBTii4sHbNniOnXqVOb5gwcPLlmypLS0tFevXq6urra2ts+fP5eXl9+yZcuSJUskmzNF1Se0BusGSY9IJSwzM1NdXf1bfRrk5b+8PcjcIZw4kVy4QPbsIXZ25O1bSX8GiqJ+eH//TYyMCEAGDFhnZWWVm5vLPJ+RkdGlSxcAKioq58+fnz59OgAOh2Nvb8//1gwbiqJqIj2dzJ5tz3ytT506NTs7mxDi7+/P5XKtra19fHyYKWqtW7d+Vp3VThRF1RCtwR+ftN8hBHD06NHdu3cXVtUISU7uVWnplxvNm5khNxenT2PSJMjKYuNGeoeQoqjvKynBjh0fnZ31CwsL9fX1Dx48OGTIEIFAMGrUqNjY2EOHDtnb2z958kRJSen48eNMOxmKothy4sSJhQsX5ufnN2/e/MSJE/379w8NDfXy8tqzZw+AsWPHHj16lDkrpShKHGgN/sjogFAYkybh9GnEx6NrV0RG0gEhRVHVFRERMXv27JCQEAAWFhb79++XlZV9/PjxjBkzUlNTW7VqdfHiRaadDEVR7Hrz5o2lpeXDhw85HI6lpWV4eHh4eLiCgoKrqyudokZRtYDW4A+LDgiFERgIMzMAuHkTffpASUnSCVEUVXeUl5e7u7uvXr26oKBAW1v7t99+8/b2Li0tHTx48OnTp5l2MhRFiUNZWZmTk5OLiwuXyy0rK2vTpo2vr2/nzp0lnRdFSQtagz8mOiCkqP+1d+dxUdX7/8A/szLsgqDsiyi4y6JkpSkaiuaSuVdqLtmC19LUm2lds/JqVnbrZ9eupVdzza2yMpLrEpoiigqkIAgDwsCwDcwwMMzC5/fH+9H5zh2W6y0Bu/N6/jWcc+Ysw/mcz+d9zufzPgCdID8//9lnnz116pSrq6tOp1uxYoWQaBQA2tWuXbueeeYZX1/fnJwcV1fXzt4dALuDMni/EXf2DgAA2KMePXokJydPmTJFp9NNmjRp8+bNiAYBOkZMTAxjzNPTEy1RgE6BMni/QUAIANA5RCJRfHw8Y8zPz6+z9wXAjkilUsaYxWLp7B0BsFMog/cbBIQAAJ2Gbo5qtdrO3hEAO0KNUbPZ3Nk7AmCnUAbvNwgIAQA6DQWEOp2us3cEwI6gMQrQuVAG7zcICAEAOo2bmxtDQAjQsWi8LrqrAXQWlMH7DQJCAIBOgyeEAB0PTycAOhfK4P0GASEAQKfBGEKAjofGKEDnQhm83yAgBADoNOgyCtDx0F0NoHOhDN5vEBACAHQadBkF6Hh4OgHQuVAG7zcICAEAOo2zs7NEIqmvr8eNUoAOg8YoQOdCGbzfICAEAOg0IpHI2dmZc15XV9fZ+wJgL6i7GhqjAJ0FZfB+g4AQAKAzIa8MQAejpxN4LA/QWVAG7zcICAEAOhPyygB0MIlEIhKJLBYL57yz9wXAHqEM3m8QEAIAdCbklQHoeEhyCNC5UAbvKwgIAQA6EwJCgI6HnBYAnQtl8L6CgBAAoDNhDCFAx0NjFKBzoQzeV6SdvQMAAHYNYwgBOt7IkSMNBoNIJOrsHQGwUyiD9xUEhAAAnWnw4MF6vd7Hx6ezdwTAjhw/fryzdwHArqEM3ldESO8DAAAAAABgnzCGEAAAAAAAwE4hIAQAAAAAALBTCAgBAAAAAADsFAJCAAAAAAAAO4WAEAAAAAAAwE4hIAQAAAAAALBTCAgBAAAAAADsFAJCAAAAAAAAO4WAEAAAAAAAwE4hIAQAAAAAALBTCAgBAAAAAADsFAJCAAAAAAAAO4WAEAAAAAAAwE4hIAQAAAAAALBTCAgBAAAAAADsFAJCAAAAAAAAO4WAEAAAAAAAwE4hIAQAAAAAALBTCAgBAAAAAADsFAJCAAAAAAAAO4WAEAAAAAAAwE4hIAQAAAAAALBTCAgBAAAAAADsFAJCAAAAAAAAO4WAEAAAAAAAwE4hIAQAAAAAALBTCAgBAAAAAADsFAJCAAAAAAAAO4WAEAAAAAAAwE4hIAQAAAAAALBTCAgBAAAAAADsFAJCAAAAAAAAO4WAEAAAAAAAwE4hIAQAAAAAALBTCAgBAAAAAADsFAJCAAAAAAAAO4WAEAAAAAAAwE4hIAQAAAAAALBTCAgBAAAAAADsFAJCAAAAAAAAO4WAEAAAAAAAwE4hIAQAAAAAALBTCAgBAAAAAADsFAJCAAAAAAAAO4WAEAAAAAAAwE4hIAQAAAAAALBTCAgBAAAAAADsFAJCAAAAAAAAO4WAEAAAAAAAwE4hIAQAAAAAALBTCAgBAAAAAADsFAJCAAAAAAAAO4WAEAAAAAAAwE4hIAQAAAAAALBTCAgBAAAAAADsFAJCAAAAAAAAO4WAEAAAAAAAwE4hIAQAAAAAALBTCAgBAAAAAADsFAJCAAAAAAAAO4WAEAAAAAAAwE4hIAQAAAAAALBTCAjvDa1WazAY2nUTtbW1er2+XTeh1WobGhru7TpNJlNNTU1TU9O9XS2ADaPRWFNTwzlv101oNBqLxdJ+m6Dycs+PQqfT1dfX39t1AthobGysra1t100YDAaNRtOuxbyxsbGmpuaer7YDGgkAHam0tFSlUnXAhpRKZVVVVQdsyM79wQLC1NTU8+fPd/ZetCA0NHTt2rXtuomBAwf+6U9/am2uXq9PTk6+dOmSzfSmpqbk5OSzZ8/ezSb69+//yiuv/K69bOabb77x8PDIy8v7zWu4cOFCcXExfT537lxpaWnzZRobG5OTk5OTk1ucC/eQXq//9ttvS0pKOntHbO3du9fDw0OtVrffJg4fPuzp6dnGyZyVlZWcnFxeXm4z/fbt28nJyYWFhf9xE/v27fPw8Ljnp/GDDz747LPP/uavl5aWnjt3jj4XFxf//PPPwiyVSpX874qKin7v7kKbqqqqvv322/uwhfT+++936dKlXbaXUikAACAASURBVDexdetWT09PnU7X2gLp6enJycnN49KbN28mJyeXlZX9x018+OGHHh4e9/wmZlhY2Guvvfabv15UVJSamkqf8/PzL1++bLNAeXn58ePHDx48mJaW1q4BMwB5+umnZ86c+Ru+ePHixR9++KHtZQoKCg4cONDY2MgYi4qKeuutt37LLsJ/4w8WEK5Zs2bZsmV3s+SRI0dOnDjR3vvz36qtrX311VeNRuM9X/Ply5fj4+NHjBih1Wqtp6ekpMTHx48ePdpkMt3zjXYAznlCQsK1a9cYYyaTafTo0Tdu3Gi+2IYNG8aNGxcfH//jjz92+D7al+Li4okTJ/7rX//6j0sajcZXX321vZ8Y/AbHjx//+uuv22PNr7zySnx8/AcffGAz/YUXXoiPj9+2bVt7bLQD7Nq1a+XKlfR527Zta9asEWbt27cv/t+lpKR00m7ai+vXr0+cOJGuim2rqqp69dVX78PwYO/evadOnWqPNc+fPz8+Pn7nzp0202fOnBkfH3/w4MH22GgH+PDDD//617/S540bN7733nvCLIvFsmzZMn9//0mTJj3//POxsbEvv/xyJ+0mQAtOnDjxzjvvCH9+/PHHK1asaPsrp0+fnj17dns8q4fW/MECwru3e/fuM2fOdPZe2MrPz9+0aVN7xGZKpZIxZjQav/32W+vpX375pVgstlgsf9Db9nfu3NFqtf3792eM5ebmGo3Gfv362SyTlZW1ceNGVIH3G5VKtWnTpjbu5XeWffv2nTx5sj3WrFQqxWLxwYMHrZvgFRUVp0+fFovFBQUF7bHRDvDLL78I5c76M2OstLQ0MDCQW3nqqac6aTfBVk5OzqZNm+7DgHD79u3Wz5nvIaEMWk+8efNmZmamWCymivKPqI0y+Nprr3300UcbN26sqanRaDQlJSWrV6/upN0EaEFKSor1jcIdO3akpaW1/ZW5c+fqdLpu3bq1867B/5F29g78Ro2NjSUlJaGhoY2NjZcvX5bJZAMHDnR0dGSMabXayspKpVLp4+OTn5/PGAsJCRGLxYyx2traa9eucc6joqLc3d0ZY3V1ddXV1UFBQXl5eSqVKjIyUqfTubq6KhSKy5cvy+Xyvn37Ojk5WW+6tLT05s2bcrk8OjraZpZArVbn5uZKpdKIiAgPDw+aWFhYePXqVcaYUql0dHR0d3fv2rUrY4xzfuPGjdLS0u7du/fv318kEgnrMZlM165dq6urCwwMbLsHS0FBgaOj4/Dhww8cOPDkk0/SRIvFcvjw4cmTJx87dkypVIaFhVnv4S+//CKTyaKjo52dnVtcp8ViycjIqKqqCg4O7tWrl/WsysrKrKwsqVQaExPj6OhI/w4fHx/hByktLeWc+/n5NV9tdXV1RkaGSCSKiYlxcXFp7YgqKyu1Wm1KSopCobBYLPn5+WfPnnV1da2vr8/Pzxf+p01NTc8999ygQYOee+4565um0AHKy8vFYrGXl9edO3dycnJCQkJ69uxJs4qLi69cucIYKyoqMhqNrq6u3t7eNCsnJ+fOnTteXl4DBw6kf2JJSYmLi4ujo2Nqaqqbm1t4eHhZWVloaKhKpcrOzg4NDQ0JCbEuFxaL5dq1axqNJjAwMCIiosV9M5vNOTk5arXax8end+/etKG6urry8nKlUimVSuniEBwcLJFIGGM6ne7q1asWiyUyMlIos6S0tDQ7O9vZ2Vmj0bTxa3DOi4qKqLhdvHjxwQcfpOmHDx+Wy+XDhg2zaYwKRxEQENC7d+/WVltZWZmZmSmRSAYPHmx9wbFYLJmZmZWVlaGhoVS0y8rKLBaLv78/LWAwGFQqla+vL10YrTU1NWVmZlZUVPj7+/fp06e1TZvNZrqRdP369ccee4x+sczMzEGDBuXn59MVrLS01NfXt42fBdpVaWmpQqHw8PC4fft2YWFhz549g4KCaJZSqaSniPn5+WKxuEuXLp6enowxznlWVpZarfb19RXiiqKioq5du4pEokuXLvn4+AQEBFDNWFBQQKsNCAiw3q7RaLx69apOpwsLCwsNDW1x3xobG3Nycqqqqvz9/cPDw2liTU1NdXX1nTt3NBoNnVE9evSgWW1UDXfu3Ll161aXLl3avsFUVVWl1WqnTJly7Nix27dvC1XegQMHfHx8goODbcqgyWRKT09v+yjYr5W+QqGIiYlxcHAQppvN5mvXrtXU1ERERAQGBjLGSkpKJBKJj48PLaDX69VqdUBAgFwut1mnUPyF8tvab0j987OyssaMGUO/2I0bN2bPnp2fn+/p6Wk0Grds2TJ9+nRhuEeL1S7YJ7PZfOHChcLCQmdn59DQUI1GExcXR7PUanV6enpNTU1ISMgDDzxAVWReXp5Op4uKisrKysrIyPDx8XnkkUek0v+LFOrr61NSUiorK/38/HQ6nXVxaGxsTElJKS0t9fb2HjFiBNU7tbW1aWlpV69eraqqSk5OZowNHjxYrVbr9fro6GitVnvp0qW4uDiNRnP27FmxWDx8+HAvLy/GWFVV1a1bt4YOHSqTyWj9FRUVFy5ccHBwiImJoWXgHuN/KKNHjx4yZAjn/OLFi4yxrVu3enl5eXh4SCSS0NBQpVLJOW/eL0ur1XLOt2zZ4ujoqFAoFAqFs7Pzl19+yTnfs2ePs7PzmjVrqLl5+vTp6OjoqVOnhoaGOjs7y2QyFxeXL774grZuNBoXLVokFoudnJykUqm7u/uePXtolqen5yuvvEKfJ02aJBKJ3NzcFAqFk5PTJ598QtNtmk3Lly/nnN+5cyc2NpYxRkMvRo4cqdPpaPljx45RvSKMypg/f35rv8y8efP69u37j3/8QyaTVVVV0cSkpCTGGA3++eyzz2ii2WxOTEwUi8WOjo5SqdTV1VWYFRgY+MILL9DnzMzM8PBwkUhEkfOMGTPMZjPnvKmpafny5VKpVKFQyGSyrl27fv/99/Tv+O6774T9GTNmzIMPPsg5P3z4MGMsJyeHpr/99ttyudzJyUkul7u5uX377betHdGkSZNaO2mdnJwsFgsttmXLFqlUmp6efvv2bcbYP//5z7ZOIPjdsrOzGWO7du3inD/99NPjxo2bN28e/TcZYy+99BItZvMgl07d8vLyESNGCKd0bGwsnatDhgx55plnqMk4aNCg06dPM8ZefvllKmWMsaFDh5aVldGa09LSqAVJW3zkkUdo1o4dO9ivdyLOnj3r6+srlUqpjRsZGVlSUsI53717t825RMv//e9/d3Z2dnBwcHR0dHR03L17N21Lp9PNnj1bJBI5OjoKNV92dnaLvwyNdN27d29YWJjwO3DOR4wYMXXq1OXLl3fv3l2YePnyZeujGDZsGO3JP//5T8YY7W1TU9Pq1atlMpmTk5NMJvP09Dx16hR9/dq1axR7U7t5ypQp9fX148aNi42NFTZBw61/+OEH+nc8+eSTND03N3fAgAHCf2HChAkGg6HFIxLGLLXovffeo6N7/PHH7/bsgXuBOmwnJydzzuPi4ubMmTNhwgSFQuHi4iIWi//617/SYjbD+dasWcM5z8/Pj4yMFP77Y8eObWho4Jz7+/snJibS3YRx48bt3btXoVAkJiZKJBJXV1fGWEJCAtWknPOTJ0/6+vqKRCI6/SZOnFhbW8s5p15htMzRo0c9PT3pvGWMDR8+nJbZtGmT9V6JRCJa/q233hKqBnd3d6E2qaioGD9+PGPM2dlZCKtoVc3RyLoTJ054eHgIvwPnvE+fPomJiU8++eSgQYOsf0Y/Pz+RSEQH+Nhjj1E+p40bNzLGqIoxmUzPPfecWCx2cXGRSqW+vr7p6en09bNnz1KQ7OLiIhKJFixYYDKZoqOjJ06cKGziyJEjjLGrV69yzr28vJYtW0bT09PTw8LCxGIxFf+5c+c2NTW1eETffPNNG2Xwiy++oGvayZMn7+LEAfuSlZUVHh4ukUjCw8O7d+9O5yrN2rp1q1QqDQgI6Nevn1wuj4mJoZbn6tWr+/bt+/TTT3fp0qVv374SiWT48OHU9uOcf/fdd15eXnK5vE+fPnTbdNiwYTQrMzMzJCRELpf37t1boVD4+vpevHiRc37p0iUPDw+pVCqTyTw8PDw8PC5cuPDkk0/269eP/1pg165d6+7u3rdvXzc3N09Pz8zMTM75559/zhijyr1Lly5RUVHOzs4RERHu7u6Ojo779u3r8J/zf98fOyDs168fPfHLy8tzcXF58cUXhSUdHR1XrVol/ElDy1atWmUymQwGw4QJE7y9vfV6/Z49exhj48ePz83NVSqVBoMhOjpaJBJt27bNYrHU1dVNmTJFJpNRPLN+/XqRSLR7926a9eSTT0qlUtoB64AwKSmpqKiIc24ymRYuXOjg4FBZWUmzqC6sq6sTdmzYsGH+/v43btzgnP/0008SiYR6+Fy5ckUmk02cOLGiooJzrtVq/fz82ggIR4wY8dhjj1VUVEilUiHAW7BgQf/+/Tnn7u7ua9eupYnvv/8+Y+zTTz81m80NDQ0LFy4Ui8UXLlzgVgGh0Wjs0aPHgAED7ty5wznfv38/Y+zAgQOc87///e+MsXfffddkMtXV1a1cufKbb765y4CQPq9fv95isej1+ri4uKCgIKPR2OIRabXa6urq6dOnP/XUU9XV1dXV1ePGjVuwYEF1dTVV25xzpVLp4uKycuVKzjkCwo5hExAyxlasWEEtRRpaRicz5/wf//gHY4xOITJhwoSuXbtSi+rKlSsKhWL16tWc8yFDhkil0p07d6rV6sLCQgoI+/bte/v2bc75zz//7ObmRlGHXq/38/OLioqi1V68eNHLyyshIYH/e0BYXV19/PhxOrVyc3Pd3d2ff/55YTe8vLwSExOFP1NSUkQi0dKlS41Go9FonDZtmru7O7U4Z8+e7ejoeOjQIbPZbLFYPvnkkzYCQrrz8vPPP69cudLHx4cqUZVKJZFI9u/f//HHHwtlv76+3s/PLzIyki4Uqamp3t7eY8aM4f8eENI4qC1btjQ1NdXW1j7wwAO9e/e2WCyNjY3BwcF9+vTJy8uj32fRokW1tbV3ExBaLJYBAwb06tWLfttvv/1WJBJt3769xSMyGo3V1dUXLlygf2t1dTXd4s3Pz6+urm5sbOScR0REhISEhIWFSaXS4ODgt956y2Qy3eW5BL+NTUAoEok2bdrU0NDQ1NS0YMECmUwm1Djr1q0TYhvOeVNTU0xMTEhISG5uLuc8KSlJLBb/v//3/zjn/v7+crn8wIEDarW6pKRk7969jLGHH36YCtR3330nk8mohi0rK3Nzc4uLi6OtJCUlOTk5Ud1kHRAWFRUlJydTKUhLS5PJZOvXr6dZNIr+rbfeEo7o0KFDNIXqVuuqIS4uztPTMykpqampyWw2/+Uvf2kjIKT15Ofnz5kzJzIykiamp6czxk6fPr1mzRo3NzeaqFar3d3dR4wYQTXsyZMnnZ2d586dy/89INy4caNIJKI7v2q1OiIi4pFHHuGcV1dXd+3a9YEHHlCpVE1NTUlJSUuWLGloaLibgLChoSEgICAmJkalUvFfG75ff/11i0dkMBjoaiaRSMrKyqqrq/fv3+/g4FBRUVFdXW00Gql36NGjRxMSEjw9Pbt3775kyRLhtjLYrYaGhpCQkIiICKomOOfLly8XAsLi4mK6CHDOr169KhaL33//fc45nU4rVqygu4RUoL755hvO+e3btx0dHePj4ynNL+c8Li6OAkKLxdKnT5+IiIji4mLOeUVFRVRUVEBAgHCrcejQoWPHjhX2zSYgjI2NpaqwoqLC09Nz3rx5vFlA6OLicu7cOc65wWAYP368o6MjXZrgHvpjB4R0mpLhw4ePHDlS+NMmIJw3b563t7dwn4NanN9//z0FhL/88ouwZHR0tHDPg3NOiQHpXnh4eDg1PUl1dbVCoaCtWAeE1mioEp3HvFlASN1X/va3vwnLx8XFUZNu3rx5bm5u1dXVwqygoKA2AsKgoKAlS5Zwzh999NH4+HjOudFo9PT0XLduHed80KBBTz31FC0ZFRU1fPhw4YvURZbax0JASFlJv/rqK2GxsLCw6dOnc86HDRsWFRVls/W7DAinTJkSGhoq3AqlxB7Cj9OiyMhI+vFpH6jtIhg7dmxQUBBVfggIO4ZNQBgcHCzMoh7RR44coT9tAkKNRiMSid58801h+SlTpoSHh3POhwwZQuEQoeIprIdz/vLLL0skksbGxuPHj9vcDn/77bcZY2q12jogtJGQkEBnI7EJCF944QV3d3cKb/ivj8UOHz5cXFwsEomsLyPUSm4tIPziiy8YYyqVitZw+vRpzvmWLVsUCkVtbS0N7qVLDX1OSkoSvrthwwbaeeuA8NFHHx04cKCwDF2sMjIyKCo7duyYzQ7cTUBI/yOh1wPnPDIy0vqy1tyhQ4fc3d3p886dO319fa3nfv7555s2bTp79uypU6defPFFxpjwGATaiU1A+NBDDwmz6NSie/O8WUBIGbmEO4ac8wceeCAuLo5z7u/vT+0wQqc63SgkM2bM8PHx4Zx/+umnjLGsrCxh1osvvujg4GAymawDQhsDBw6cOnUqfW4eED7++OM9evQQqoavvvqKMXb+/HmK5T744ANhSRoX0FpAuHnzZolEYjQaqXKh4vbnP//Z29vbZDJt376dMUa16meffcYYu379uvDdpUuXymQyo9FoHRAOGDDA+tJEWy8vL2/++5C7CQgpv6J18ff19aVYtDVbt26NiIigzxs3brR+zpmYmMgY8/b2fv311w8ePPjaa6/J5fLJkye3sTawB3TuWTeSX3nlFSEgtBEQELBo0SLO+erVq+VyuVASq6urhQK4du1asVhcWFgofGvUqFHUWs7MzGSM7dixQ5hFBfDMmTP0Z9sBoXVTc/To0XRBswkIrVu/NP5w//79v/GngVb8UccQEhr8QxwdHdsYXZCXl6fRaIRRTDQe786dOzR8zrqHNGPMegRRUFCQm5tbfn6+2WwuKCh44oknrBcLDQ3Nzc212VZBQcGWLVvS0tLKy8vpvUN1dXUt7hV9d82aNVRtM8b0ej11sLl+/frAgQNtxjK1xmQylZSUhISEMMamTZuWmJioVqsvXbpET9gYYyEhIUJCi7y8vGeeeUb4rouLS3h4uM1RUGL9uXPnCr+wTqejTtu5ubnUgec3yMvLKy4uppGTjDF6n1tRUdHDDz/c/Ijq6uqampqys7ODgoI0Go3BYCgoKAgMDNRoNNR3aPfu3UlJSV9//XUbAxGhvVmXHRoz0Nq7tug+5bvvvvvhhx/SlPr6erFYzDlnzcog+/di2K9fP4vFUlhYSGfmoEGDhFlRUVGMsVu3btl8/csvv9y9e7dSqWxoaFCr1cI4pRZ3rK6uThj2Y31x4Jw/8sgjbf4A/0epVCoUCh8fHxqtdPDgwZEjRx48eDAhIcHNzY1GKCmVyr59+9JRUM+9No4iNze3tLSULgiMMbPZzBgrKiqivqn0lf8WbToxMXHp0qU0pa6urrW8x1qt1mKxpKenR0RE0PjJ9PT08PBwjUYjkUiot9uCBQuE5ePi4lQq1bZt2955553mAxehnfxXZZAxtmzZMiFnrF6vp8FvjDFhrI7AugwOGDDg0KFDer0+Ly+P+owJs6KiohobG23eqmKxWHbt2nXgwIHi4mIaCNfGWNO8vLw7d+40rxroQKif+d0oKCgICAiQyWRjx451c3P78ssv161bd/jw4alTp0qlUiqDBQUF9CYkmUxm3bM9KirKZDJZZ37inOfl5d26dUsog1RSioqK8vLyqC/6Xe6YzcEyxmbMmEGjthhjOp2utaxv1B3m6tWrvXr1ojJI3cU1Gg2N+KCuv6mpqXR0M2bMaGho2LJlS1FRkTCaFOzQL7/8whgbOnRoi3N1Ot2mTZuOHTtWVFREDVTrd1ALI/ZpoASd9jdu3PD19W3xpKLb8dbXBCER4N0UXusEAQ4ODjap8glVN4RGl/xxk7Tdt/7YAeHdk0gkkZGRNpnHunbtapOTsznqVyn+lU1mF7PZbB2UMsaKi4sffPDB4ODgl156KSgoKDc317rBZIMq8k8++cQ6IqJKQiqV3n2LqqioyGKxUH0wderUJUuWHD58+MKFCxEREX379mWMhYaGCjmdJBLJfzwK+vPo0aPW4+xp/Ebzr989iUQybNgwujUrEKJ0azt37nzuuefo84wZM4TpkydPZoydOnUqLi5uxYoVUql0/fr169evZ4zR+2rWrVuXmppKXfvgvkJn+6ZNm8aNG/fffpdqLIlEImQSEmZR29EmntywYcMbb7yxYsWKxMREb2/vVatWVVZWtrZyiUTSp08fmxdReHh4UFKcuy+GSqVSSH4zderU3bt3r1ixIjU1lZ4choaGikQiqsPoKKxfcN/iUUil0jFjxvztb3+zntitWzfqwm399btHRfuLL76gClvYUIsL9+zZs6Kigj4LbWL6PHr0aHpQaSM6Ovqrr74qLy8PDg7+DbsH7Yr++zt27IiOjraZ+B/R/VaxWCyRSOh2sjCrxbP35Zdf/uyzz1577bXY2FgvL6/58+e3vWMtVg30qFChUNzNHjLGlEol1VkODg4TJkw4cOBAQkLC7du36ammEBBGR0dTRdbU1CQcfotHIZFIZs2aZfOSYT8/vxMnTnDOf08Z/P7774WbUOzXlrcNk8nUrVs3IS25dRk8cuTI7Nmz9+3bRylkrG8B0P2y4uJiBIT2jDKQCTcdbMyYMePatWubN2+OjIx0cnIaNWrU3aywtWsF1ZLUBiMUXraWsPB3oueWLRYZ+D3+ZwNCiURifbEODw8/evSodRrMu3T27FmTyTRkyBCxWNyzZ0/rN7/TeCfrcIUx9t1331HuJrpM25RGKk7CjtF9juLi4uaPL8LCwlJSUsxmM9VPer2+jQyH1PWUnhB6eXkNHz58165d2dnZwpsYQkNDS0tLDQaDQqEIDw+3PgqNRpObmyskniKUuVGtVo8ePdpmWxEREZcuXeKcW9/UaX5b2vrSYP3dc+fOBQYGNr8VbWPu3LnTp08/fvz40qVLqQ29f//+N998k/or0r2iFStWWDdKqqurs7KyYmNj7/52MrQrm7M9LCxMIpEUFRW18bCuNSdPnvTy8qIREYyxS5cuTZw4kWalpqaKxeJevXrdvHlTWH7Hjh2zZs2irl+MMQ8PD+uAsPnF4dy5c15eXtb3IGmHGWPXr18XKkt6NNcaCgjp87Rp0z744IPFixfL5fIJEyYwxhwdHbt160Yns3AUdIODjkIkEtk8qw8PD6fcrTaXEUpJmpqaavNLKhQK67u8LZZBuuaUlpa2kbRJkJOTwxgbOnTookWLFi1axBgbMGDAqlWr5syZI6T3KC8vt84MnpGR4eTkZN3ShU4klEE6hei/r1Kppk2b9l+th3OenJzcr18/R0fHiIgIk8l09erVwYMH09zU1FQnJyfhSSNjrKmpadeuXUuWLHn99ddpinXTUCwWi0Qi69s6ERERP//8c/OqQSiDdGeT3UUZpCRtjLFp06bt27dvzZo1Xl5eVCkEBgZKJBKhDNLT7wceeEA4CoVCYR1EUZG8detW80sWlUFKkGg93dHR8S7LoFqtfuihh9o4FsaYVCpVq9WMsR49enzwwQePP/64xWIJDAzcsWNHQkICNYipp8CJEyeE5zOXL18Wi8VtJE0Fe0CZ4dPS0hISEmiKULlotdqkpKTNmzdTFgB2d3eFevbsuX//fpVKRY1byv1OeZX69OkjEonOnTsntL5++uknZvXMUCqV3sPXrdHIESGPN9wr/7PvIQwLCztz5kxZWRm1aRYuXFhbW7t48eLS0lKj0ZiRkdHGS6JrampUKpXJZDp79uzixYt79uxJHS8XLVp05syZ999/X6fTFRcXL1iwQCwWz5s3z/q7FHBmZWUxxm7evCn0zBH2ijH21VdfVVRUlJaW+vn5TZgw4b333vv++++NRmNlZeWBAwcoUfjMmTNVKtXq1au1Wm1ZWdmCBQva6BBLNZxQAUybNi0tLU2n09FuM8ZCQkL4r+MhFy1alJaW9vbbb9fW1qpUqkWLFplMJpvHmLGxsYMGDXrttdfOnz9vNptLS0s///xzCjsXL15Mx1VZWWkwGM6cOZOZmRkWFubk5HTw4MGGhoba2to333yTLgc2Fi1apFKplixZUlFR0djYmJ6eTt3Em6NE6kqlsl+/fpSZqrCwsH///vSZLl6rVq36sxV6ojh+/PiZM2e29kNBR6JW1Ndff11ZWVlSUuLq6jp79uxPPvnk6NGjBoNBo9EcPXqUEpa0qLCwsL6+vrKyct26dd9///2f//xnsVgcFxcXFha2cuXK9PR0GlL48ccfT506VehsRpycnPLz8+vr6xsaGj7//PMTJ07Y7FhKSgq904IxNn/+/MbGxgULFpSUlBiNxqysrK1btzLGQkNDY2NjN2/efPHiRaPRmJSUJLwYukUFBQVCw3Ho0KFBQUGnTp0aO3YsJUpljIWEhFAZHDlyZM+ePVetWnXlyhU6io8++uiJJ56wSaW9ePHi3NzcV155paqqymAwXLp0iTIKPvTQQ/369Vu9evW5c+fMZnNxcfGBAwcYYwMGDMjOzqYBvampqTS4yEa/fv0efvjhdevWnT592mQyqdXq3bt300WyOQ8PD2dn54KCgsGDB1O5U6lUQ4YMoemMsZSUlJCQkLVr12ZmZubk5Lz++utHjhxZunQp7t3eJ4Qap7y8XK1W9+zZc9SoUe+8805ycrLJZKqoqNizZw91LWtRfn6+wWAoLS3905/+lJ6eTgknJk+e7O3t/eKLL968ebOhoWHPnj179+6l/NvCF8VisUKhyMnJMRqNOp3uvffeo8FCRCKRBAcH/+tf/6qoqKBu0osWLSopKWleNcTGxvbo0eMvf/lLRkaG0Wj88ssv26i4OefCE0LG2Lhx49zc3E6dOvXEE0/Qfi0w4gAACZRJREFUfVWZTBYQEEBlcOLEid26dUtMTLxx44bBYNi3b9/u3bsXLlxo84Tw2WefPX/+/IYNG2pra+vr63/66ScaFT9u3LiAgAD6WWg4ydGjRxlj/fv3v3Tp0o0bN5qamk6dOvXqq682389HHnmkd+/eK1euvHTpksViKSkp+fTTT1UqVfMlRSKRh4eHwWCoqamJjY318PCg0RP0mRobQ4cOHTp06Pr16/fu3ZuTk/PRRx99+umnM2bMwMtg7Nyjjz4aEBDw8ssvnzt3rrCwcN26dULGWicnJ2dn53Pnzmk0muzs7MWLF9PrTNo2e/ZsqVQ6b948utrPmzdPeIlLYGDg448//u677+7Zs6eoqOjIkSNvvPHGiBEjhD7VvXv3vnLlSkpKyvnz53/bq4kLCwszMjIKCwu3b9++du1aygvwG9YDben4YYu/h01SmRazmJCkpCQa/+Dg4ECp7fft2yfcyZbL5dOnT29sbKQ8DcJLETjn1n1pRCLRqFGj8vPzaZbFYlm9erXQfSUwMFDYASGpjMFgoKdqLi4uLi4uH3/8sUwmo7wOnHOz2Sw8E6AHXFVVVZMnTxaetoWFhQnja9955x3heebMmTNHjRrVWlKZNWvWCFkfOOdlZWWUaFiYkpGRwX5NL9HU1LRu3TphzX5+fkePHqXFrF87oVQqrUdPDRw4UMj+8v777wttXC8vL8rA9umnnzo4OIhEIpFINH369BdeeKHF10589tlnQr8XhUIxZ84cIeFBczNmzFi8eDF9Hj9+/NKlS1tbkiOpTEexSSoTFhZmM2vv3r30Z1NT09y5c+l/vXDhQs65VqudNWuW0HAMCgqihYcMGTJ+/HhhPZRURuDm5rZhwwZhmHt2dvaQIUNollgsnjp1KiU9s04qc+LECXd3dwcHB5lMNnz48Oeff37AgAHC+s+ePUsdleVyOWVFO3LkiNB+kslkjz/+uF6v55zn5+cLDxC6du1KqV9aTCpjNptlMtm7774rTKHn8/RDkVmzZsXExLR4FE888QQdhXVSGc75Rx99JJQ1JycnoTjk5+cLxVMkEo0cOZKC55iYGJri4+Ozb98+kUjU/LUTKpUqPj5e+Hn79OnTRs7669evM8bKy8s55+fPnxeJREKOXzrq9evXC9G4m5vb66+/LuTugnZik1SG8l5azxJyORiNRuH5wBtvvME5V6vV48aNE2qciIgI6v3o7+9PWSUIJU0ReHt7b9u2TZibmpoq3PuXSCQLFy6kd1dYJ5XZs2cPvedJIpFMmDBh9uzZ1lkljh07Ri97cHFxqa+v55xv3769xaohIyND6N7s7+//xhtvsFaSypSVlTHGhHfGcM5nzZrF/j19C6Xjps9paWnCg0eJRDJ//nzaE+ukMjbVpbu7OyVG5pxnZmYKz0jFYvGkSZMsFotSqaSHhyKRKCQkhBIFN3/tRF5ennVzNioqivrdtOjHH3+UyWSU9ero0aPWb10iJSUlQl8eqVRKb/RubW1gPzIyMh588EGpVEpdsqdNmyYklTlw4ADVLDKZbPny5TNnzqS8g5RURliDXq9njG3cuJH+/O6773r37i0SiSQSycyZM59//nkhBaNWq503bx51FpPL5TNmzBByHXPOi4qK6NG9i4vLxYsX58yZQ4mR6D6RdYrd8ePHUyN/586dEolErVZzzletWiVccCgJonWufrhXRNyq0939j7Lbu7u7m81mnU7n4uIi9DCh84PqGGI0GouKinx9fYXOKhaLhTLthoSE0IlrNBr1er2bm5vwxDwmJsbf33/79u1lZWX+/v7NX39ZX19/+/ZtBweHnj17Ck1byjgqVBs3btyoqqqKjIx0dXWtra2l14gJaygrKzOZTNYdbKqqqu7cudO9e3cfHx/rrphms/n27dtubm6+vr5UV7XYJ7u+vt5kMgkNR8ZYbW2tVCoVFqa09dbvcWpoaKDcAL169RKOQqPRyOVy602UlZWVlZX5+flZ9wqjHSsoKHBycvL19RW+Xltbq1Qq6SgMBoPJZHJ1dTUajVqt1tPTU1jMbDbfunVLIpEEBQW1PUBLp9MJYym1Wq1cLm9jMEnzY4T2YLFYNBqNq6urg4ODXq83m83CiWexWLRarc2/oKKior6+PigoSDixNRpNYWFht27dfHx86KzQ6XTCO80YY2fOnImLi/vhhx969OhhMpl69erVvI9xSUkJDVQTGpGNjY06nY5ePMgY02q1mZmZXbp06devn9FoNBgM1j1CjUYjlThhoxaLJS8vz2KxhISE2HQs12g0JSUlvXr1ksvlNTU11pcLAee8pqbGyclJeDjW2NhYX19vvXDzctraUViXF6PRmJubK5fLAwMDbc7/ioqKmpoaX19f66MoLCzU6/V9+vSRSqU1NTX0PtWamhqpVGqdfqmioqKkpIRS4LDWUXonurlmMpn0er3N2+1oo7dv3zabzWFhYXg22AFMJlNtba27u7tMJqPb7ULFRzWjq6ur9ZMuer0BvWOQ0H+/e/fuwn2Q2tpaeuMl/blv376nnnrq2rVrcrlcIpFQf2+b3VAqlTU1NaGhocIp3dDQUF9fL9wgqKqqunHjho+PT69evQwGg9lstj4DDQZDcXGxv7+/UAsIVUNwcHDzU12tVlNjVKvVdunSxbqiJHT9sW4VGAyGhoYGd3d3oTQ1bye0eBR6vd666qfq0tnZufkr5svKynQ6XUBAgPVRFBQUmEwm2lvhilFdXe3g4GBdvapUqoqKCj8/vxYH0guMRiMdBWOssbHRYDBYX0ME5eXlpaWlwcHBzUso2DOj0WgymZydnV966aU9e/ZUVVXR9MbGxuLiYm9vb5uxEv9RXV2dSCRqsS1qNBo1Go27u3uLTTW9Xu/k5NS85N6lhoYGqhxbG/QOv9MfLCDsABQQtv02WABoPxQQUuqgzt4XAHtEAWF2djaNdwWAP7qEhISqqiohvyCADcTZAAAAAAD/I0wmU0JCwpgxYwYPHuzo6Hjy5Mkff/zx3Xff7ez9gvsXAkIAAAAAgP8RJpNp0qRJhw4d+uCDD+rq6nr27Ll58+Zly5Z19n7B/QtdRgEAAAAAAOzU/+xrJwAAAAAAAKBtCAgBAAAAAADsFAJCAAAAAAAAO4WAEAAAAAAAwE4hIAQAAAAAALBTCAgBAAAAAADsFAJCAAAAAAAAO4WAEAAAAAAAwE4hIAQAAAAAALBTCAgBAAAAAADsFAJCAAAAAAAAO4WAEAAAAAAAwE4hIAQAAAAAALBTCAgBAAAAAADs1P8HyeZmCUbXmkkAAAI4elRYdHJka2l0UEtMIHJka2l0IDIwMjQuMDMuMwAAeJx7v2/tPQYgEABiRgYIkAdiJSBuYGRn0AAJMLNBaBY2hgwQzcTEDmUwwmQ4IDQTmwNUpQNYATMjEgMmg0sFuwPUNqgKhCUEDUU4FOpAOAPuMAwZfA5Al+FmYORgZmRiYGJmYGZhYGHlYAKGBRu7BxM7hwMHpwcTJxcDF7cHEzePAw+vBxMvnwMfPwO/AIOAoAeToJCDkLAHk7AIg4gog6gYg5g4g7gEg4Qkg7CUg5S0BxOfDFC7rIOsnAeTHJuDDJeDtICDJFAxC9BiNjY5WU4OdjZuHl4+GS42QSFhKWkBNlExcQlJEfE6RkSUMcgvf2ntuCdD+wCIwy+s4pjuoQBmF06QcizymLAfxL65k8mxn78EzC7L++Tgx3TTDsQ262Z3dPG4YA9iux485FDDJAlmB0guc3jGIw1Wb3cjx0FR/O4+EPv4WTcHVdYisJpTz87Z2zr3g9n3LjbZnzkq7wBiz+x+v0/xmRaYvbdp3f5JR3aD1Sy87bI///B2WxB7Oe/V/VXdfWDzzR56Hpg/tQDMXvM6/4D+t/tgt7EvXn4gp0YGrPev15EDXyeJg9Xo/fh8wEH5Gtg9W+qYD4rVl4LV+IZKHzRlmAhme6zUPLi5fMJeEHuVmsLBa/47wXqFAjgONk44D2Yfct144KrgHzB74ozGAw6anOBwe95rYW/hvgas9yZfg4NSKyfYL1x71jvMPPkHbL4YAOHNlb4xVTQ+AAAC63pUWHRNT0wgcmRraXQgMjAyNC4wMy4zAAB4nH1VW24bMQz89yl0AQt8iRI/GzsoiiI20Ka9Q/97f3QoI1oHEOpEzK53lhrNkMyp5OfH9fufv2V95Ho6lUL/+Y2I8luJ6PRW8qK8vH79diuX9y8vH99c7r9u7z+LclHDO/j5jP3yfn/7+IbLrTDXbtbMylmq9yHeC1Wan+NdKZfCVKWZN01kIzOODVKBjOpO4kjJlaUL8wZo2HxU7qQdGalGU3XZABsy9tp6i4ETVRMd5huclzsSWmcbvXB1bExtg+vI55WGUyget+getsEN4FrloBaUBJ2a+27jAFBrJ/IYCTTlwTsVmSaSyRWXOLI1jZ02EOySR2A3HrhgDtGd2jyNqSRC6VK1cLOxA6YvyQ0WQ+W0miR2p+E0Bsapw4+G5OYeukW2R87uAxomAH9lu7s/cjrY9Zhlwci/PXrac4ZIzbTzLAyNPnQHHQ9oh+Et1cEbJjvLOS06t4rS8Za7OqMud6ZLWnT2ympgkNu3ENTKDprtc+4oNCNrU1we2GEHTZvOowoPy7ZEsUMq2iGnT4FqGiqpPquMbaOJod7PnHWpQ2bhUadmO1FlOsX5IMwoDYAR3bZ5/cG1cTSUUromjCbZQftDVlRxR6kAGh6ybSaZXlkli9HnrGG0ie1slYCuqCqh4CkrDWPZiZXjriAnod+0ZEoUwu78yrOXLTBuDKIGjk67WfN6u36akI+Z+XK/XY+ZqVhyDEbcFD2mXz63Y8YxVjsmmWD5MbAYt/2YS4Y1jvFjWHEMGcPi51nCM/DT0LAMvMhhOlgGXvwgk2XgRRHtbhl4sYToPMMiysk0w+LKSRaBF11OvjmsFmNOygjy3FycQRZn9BBnkEPQqSgm1OIsU3D4uzhL6oogi3O2SgZZnFHGNvdanCU5I8jiLJMz3lqcZXLOynqqMSuzhJ6KyTKsxJoy483DCk2Zkf0QTCdlfzp6ltpzYeX9xz9yXJ/+AZwxgP5lGjRJAAABdnpUWHRTTUlMRVMgcmRraXQgMjAyNC4wMy4zAAB4nC1ROY4kMQz7ygKbdANuQ5J1orBR5T2PcD4vmMcv5Z6oUDQpkdT7732/78e/r+fmvffjtWXv7/1479W/b73vr/vW597r+S348J+fB/MMVRsvmR4pMS6mKabRiJGqjKumO4mPF0+WEB5XTg5a4NAsW8tBimlhlYOmykr1Jmmw1uDpH5VPSqcCxSq8dFw2uciq5ziZO1RrBtGZrIuToxEmXwxZqa3CIExkhzP44RJtgERoDZlajjRXy5EHxjoXXi6YXw6rEKmf5eCEJ5xgMuErKYfmrponLEMBCAZMf9OuivxgoXmkeFHplTYR3A2QM3rqDT55KVsrrQTpgQXqUDqYckICLKdw6uqIBidACjXkWh1x/RrrjsCGjoJMKT8gEcLArWqEnVnGZdaQC/sxhtoiGikvKUA6SSvPkRk9wyvKEKqPV0plISwFjXCE0azs6YaCcRMMClz2+fMf3/iAp/qVBzUAAAI5elRYdHJka2l0UEtMMSByZGtpdCAyMDI0LjAzLjMAAHice79v7T0GIBAAYkYGCJAHYiUgbmBkZ9AACTCzQWgWNoYMEM3ExA5lMMJkOCA0E5sDVKUDWAEzIxIDJoNLBbsD1DaoCoQlBA1FOBTqQDgD7jAMGXwOQJfhZmDkYGZkYmBiZmBmYWBh5WAChgUbuwcTO4cDB6cHEycXAxe3BxM3jwMPrwcTL58DHz8DvwCDgKAHk6CQg5CwB5OwCIOIKIOoGIOYOIO4BIOEJIOwlIOUtAcTnwxQu6yDrJwHkxybgwyXg7SAgyRQMQvQYjY2OVlODnY2bh5ePhkuNkEhYSlpATZRMXEJSRHxOkZElDHIL39p7bgnQ/sAiMMvrOKY7qEAZhdOkHIs8piwH8S+uZPJsZ+/BMwuy/vk4Md00w7ENutmd3TxuGAPYrsePORQwyQJZgdILnN4xiMNVm93I8dBUfzuPhD7+Fk3B1XWIrCaU8/O2ds694PZ9y422Z85Ku8AYs/sfr9P8ZkWmL23ad3+SUd2g9UsvO2yP//wdlsQeznv1f1V3X1g880eeh6YP7UAzF7zOv+A/rf7YLexL15+IKdGBqz3r9eRA18niYPV6P34fMBB+RrYPVvqmA+K1ZeC1fiGSh80ZZgIZnus1Dy4uXzCXhB7lZrCwWv+O8F6hQI4DjZOOA9mH3LdeOCq4B8we+KMxgMOmpzgcHvea2Fv4b4GrPcmX4ODUisn2C9ce9Y7zDz5B2y+GADhzZW+e99LXgAAAux6VFh0TU9MMSByZGtpdCAyMDI0LjAzLjMAAHicfVVbbhsxDPz3KXQBC3yJEj8bOyiKIjbQpr1D/3t/dCgjWgcQ6kTMrneWGs2QzKnk58f1+5+/ZX3kejqVQv/5jYjyW4no9Fbyory8fv12K5f3Ly8f31zuv27vP4tyUcM7+PmM/fJ+f/v4hsutMNdu1szKWar3Id4LVZqf410pl8JUpZk3TWQjM44NUoGM6k7iSMmVpQvzBmjYfFTupB0ZqUZTddkAGzL22nqLgRNVEx3mG5yXOxJaZxu9cHVsTG2D68jnlYZTKB636B62wQ3gWuWgFpQEnZr7buMAUGsn8hgJNOXBOxWZJpLJFZc4sjWNnTYQ7JJHYDceuGAO0Z3aPI2pJELpUrVws7EDpi/JDRZD5bSaJHan4TQGxqnDj4bk5h66RbZHzu4DGiYAf2W7uz9yOtj1mGXByL89etpzhkjNtPMsDI0+dAcdD2iH4S3VwRsmO8s5LTq3itLxlrs6oy53pktadPbKamCQ27cQ1MoOmu1z7ig0I2tTXB7YYQdNm86jCg/LtkSxQyraIadPgWoaKqk+q4xto4mh3s+cdalDZuFRp2Y7UWU6xfkgzCgNgBHdtnn9wbVxNJRSuiaMJtlB+0NWVHFHqQAaHrJtJpleWSWL0eesYbSJ7WyVgK6oKqHgKSsNY9mJleOuICeh37RkShTC7vzKs5ctMG4MogaOTrtZ83q7fpqQj5n5cr9dj5mpWHIMRtwUPaZfPrdjxjFWOyaZYPkxsBi3/ZhLhjWO8WNYcQwZw+LnWcIz8NPQsAy8yGE6WAZe/CCTZeBFEe1uGXixhOg8wyLKyTTD4spJFoEXXU6+OawWY07KCPLcXJxBFmf0EGeQQ9CpKCbU4ixTcPi7OEvqiiCLc7ZKBlmcUcY291qcJTkjyOIskzPeWpxlcs7KeqoxK7OEnorJMqzEmjLjzcMKTZmR/RBMJ2V/OnqW2nNh5f3HP3Jcn/4BnDGA/rHjUeIAAAF3elRYdFNNSUxFUzEgcmRraXQgMjAyNC4wMy4zAAB4nC1ROY4kMQz7ygKbdANuQ5J1orBR5T2PcD4vmMcv5Z6oUDQpkdT7732/78e/r+fmvffjtWXv7/1479W/b73vr/vW597r+S348J+fB/MMVRsvmR4pMS6mKabRiJGqjKumO4mPF0+WEB5XTg5a4NAsW8tBimlhlYOmykr1Jmmw1uDpH5VPSqcCxSq8dFw2uciq5ziZO1RrBtGZrIuToxEmXwxZqa3CIExkhzP44RJtgERoDZlajjRXy5EHxjoXXi6YXw6rEKmf5eCEJ5xgMuErKYfmrponLEMBCAZMf9OuivxgoXmkeFHplTYR3A2QM3rqDT55KVsrrQTpgQXqUDqYckICLKdw6uqIBidACjXkWh1x/RrrjsCGjoJMKT8gEcLArWqEnVnGZdaQC/sxhtoiGikvKUA6SSvPkRk9wyvKEKqPV0plISwFjXCE0azs6YaCcRMMClz2+fMf3/iAp4orLr0AAAIHelRYdHJka2l0UEtMMiByZGtpdCAyMDI0LjAzLjMAAHice79v7T0GIBAAYkYGCJABYnkgbmBkZ9AACTCzQWgWGM3OkAGimRjZHKASDmABZoQAVAUTwgioAJzBAZFhwpRhd4DqgZkKF8BUimo80AEk2IPJ4GZg5GBmZGJgYmZgZmFgYfVgYmVzYGNnYOdg4OBk4ORi4OJm4OZh4OFlYOPzYOLjd+AX8GBiEmQQFGIQEmYQFmEQEWUQFWMQE2cQl2CQkGQQlmKQkmaQZmIQYHGQFGHg5WAQYQFaxMbKxscvwMLGycXNw8vBJigkLCXNxCYqJi4hKSIexYiICgYZubqq/dO0gh1AnLd3+vYp1fyxB8twd+1/w2MCZm+9N89OZCu3HYitXrDffqVCO1g8a6aFQ5jzL7D4FasmhztWW8Di9avXOQiGhYPZPHpbHRbLqu4Hsd/Z9zvcsDgBZlcdmuoQael8AMRWMz7k4NyYDma7KL5wcFijA2Zvn/fQYancbLD6voJyh2grS7A7zfvlHFybYsHsL6lL7Z3WKoHZFYs27ed1dQarL91pcmC//xww+/PV6gNX5kftA7HF5q8+kMakAxYP1T1/wP3VarD7ix7+OZCl9XsviL2imfngkujTYDWClY8PbNFWA7vny5GtBySucoDZFl3pB5hCF4D9+E+R54A1020wWwwAe/h/3B5pBBcAAAKbelRYdE1PTDIgcmRraXQgMjAyNC4wMy4zAAB4nH1VW24bMQz89yl0AQvim/xM4qAoijhAm/YO/e/9UVKLZBVU6Noidtcjio8Z+tLq+n779vtP+7jwdrm0Nv7zjYj2i8YYl5dWN+3x+cvXe3t6e3h8f/P0+vP+9qOhN4Lck5/P2Ie315f3N9Du7Tp6mLNbo44RbNxGH/M6t2J7KiBaDIwGuQOFfAOkAkIf6VHz+G6DCHED5Dx6dIL0R3kDpEy0wUk6hM4hChlvHyLquwg1cdjdOR3lz+xuIRucJY770FCHcjx8sG5wnjjpLOmw3DgDiG1wkXlIVwU3qBIpc/gukQy/TmZTEa4aiTLSLkSAiVTLbo92pUx6kG2R2F6bZjZuzIVUMNQtshpjHYVH9uWKXcMHbOPkicwzFaXiRMjctkjJ3Km7KrJU8YMTuQMezWEzDsgdSY1hu6KDpcc8MRCShtglHeI2HT94RiGS1c66m6LZjmgQBc3okDzvK6HKaMvyUXqgHsRB0ysCSSH+hVaPrtJJCWzMxhsE7ALAKR7N9BnnsUSyDxWneqynyASnU0BUih2Us/NXzwAjhTPplIynbVZyeIXhkuLNUkjugV2jUI+s1FOWWFAgH2PXKiwhHYxzKCVlyBLb8/1oAHhIshi6Aex9Pt9vn8bTMbAeX++3c2BRLjzHUj40OodP/c7niIFcck6SfGh6DgzOZedcgFx+yh9yxalyqLWKGaaBRbQwDS7ihGloESFMw4vYuI6WRVNcBnQRD5cBW1Qy6+CLGmCaWEgPZXDlNpRBWCgMZRAXptZj8nBhJJRBXogHZVAWfkEZ1IVGx1m2sAXKoC+sgPkn9fEiKk87+zXbna7OiGnWmM+2FGFWetTz+39h3l/+Ap0HXkEq3fgqAAABVXpUWHRTTUlMRVMyIHJka2l0IDIwMjQuMDMuMwAAeJwlUTmOAzEM+8oC2ySAx7BuCVO6n31E+rwgj19qUpqiKJK+fvemx/Xi1+uxL9n7b295vl9vfu59PTbfSD/o5/M41qxIzRgyuUpjnIA4anENwoxNAdFcYPlYM5YI8zjXFAJHAJG4ioyTppY5YW2ZeY6TZ6ZKb2lmlI1T5/LCCNSVC4BNNXBASSWyaMSd4Ac2XLVSekvDzQZsmCvfiEdVjUNwawluOZQztBGnYB9nTHhfPg6eXrmoEZCdW4epb5wy0511wGkpVVvWCC20oU4rOxQXU4BhSsl3F1Jm2QbDOaIx7LPkV7mlAcksUfTTdZIg6mFTXOibLKioFx33lBP5ReyrFRPlGzeNmF3g6kholOvdAKqUmwZ/Jh3PMOL7gGf/GyCSO/G3jew/gaTVbZWyUDTNIALn+fkHZ5ZyMTkwM6AAAAH1elRYdHJka2l0UEtMMyByZGtpdCAyMDI0LjAzLjMAAHice79v7T0GIBAAYkYGCJACYlkgbmBkY8gACTAyszlogBgsbA5gAWZGmAA7RAUTI04VUDOYmNgZwALMcAE4gwMiw4Qpw+4A1QMzFUMA4RAU05kZcZvOnmAB8RU30MuMTB5MTMwOzCwMLKwMrGweTGzsDuwcDBycDJxcDFzcDNw8DDy8DLx8DOz8Hkz8Ag4Cgh5MzEIeTELCDsIiHEwiogyiYgxi4gziEgzCkg6SjA6CrA4Sogx8nAwiLEBL2BglhYWYmdjY2PkFBFnZuLh5ePk4WcTEJUTFnRgRQc4gZfhQw8GjbtoBsGc23bU3aE4As2cuq7QL68gBsyW2a+7/xqcAZset4TwgI6IDZvdtcT5Qabp/P4itWid34Fnb470gdkhbxIHAXV32IPYbf+MD627LOoDYy5RW7L/8QBPMlvO8sO/FuV1gNS+zuuyNb14Cs3dfv2Iv/9oRrGZHn6O9vVE7mL0y23r/Gv1GMLvs0ewDXAmpYPWra9cdEDP5uQ/Enlw58cAR++tg9yx6vWzvI4V+MLuMb4u9jm4emO1R/c/+4szndiC2TU2cQ8NDZbA5s7SmOlxg6webYz59k0Plg3SIe1b1OGxc9BLMzuYXcVjNwgH2uxgA6AN98z3JaqAAAAJ3elRYdE1PTDMgcmRraXQgMjAyNC4wMy4zAAB4nH1VS27cMAzdzyl0gQj8i1x0kWTSoCgyAdq0d+i+90dJGYkVQKhnRNjSM0U+PsqXVteP6/c/f9vHRdfLpTX4zz8i2m8GgMtLq5v28PT87dYe3+4f3mceX3/d3n42skaR7+TvM/b+7fXlfQbbY6Nu7EO03UkfQIHaoMO8zlcpgdgHY0QCuSs4wNgAOYHQSTjXC2ihTrgBSgLvoJtRaCIpXUIgb5DabrWOiihWd+Y+aLe5lU/uoMMrTOwS7Bgb5CgkdRkmEhUHIkLsfPrhk71yTw7A0+UuoThcOuBQTlbFTHmXD0IlhJ2RVUfxr8Ky2xvxIEnAHDw3Fw3hXT54FAgc2QtoMki3m3N7rXUjZ2nJFUUM2wFlVnKogUuTTiSeNxugHkEOJswwpAMPsG2QVolL94Ec5SqrFFvScdZHM19ygUmB26BtnH44VbHUT/FqjsbbSOOINFlSkIIipjx2xSSYfCbxVk6hB2dau1BT3LdEhif1tZ4hs2xbqErEJTmesjABNNgBq4ckS4Sic28awbIjlCSLqV0dkshcj1T+lnnS6ZKzGQUzWielfTZVIippSgKr6xLpu3SebtdPR8lxuDy83q7n4VI/Oo8QycHnQSE1zuMAc+jZ85jDzsaWHOPsXsnhZ4tijjgbEWus/YbT4NJXOA0t/YPT8NIoOI0sHYHT6CJ9qd1tUbiUwbEoWcqgL4KVmotFlvWYmlvUR9Nk/399/kKL1rAM0SKqekzNLOrBMiSLSrAM6SIHmf5tqbvMT8bHxIzbzxJQsZwvLnsX0UkBftLEqoB6fv805f3lH4szSc76sLmUAAABSHpUWHRTTUlMRVMzIHJka2l0IDIwMjQuMDMuMwAAeJwlkTtuAzEMRK+S0ga0BP8iYaTaJpVzgCDV9j5BDp+R3CwWD8PhcHRecl2356X4nk87z+/ztPvreukd5PN5Kojef15fv/Lxd1NKq+njcJqsreMhNE3HYRRcLOPBpG61QHYUBAdTpnaMQ6HhhgZ/EiIbZdU0ICOO2eMQ8rY9p+QzHSImEeGeW2WFdUJcVm8nbJ0xIM6MZSRkYpEgGW6xAzhncWHMo91XaC6xBkifGgsgY9lACu2udcaM5PLhpOpV2waXiigQ2+QVx6nm8mGqjt4JAzsUc2tr5dTcsvDkfVyWpG0zJAh2WVCkpFcI5Mxeo21YMRfqKnEsgKuhjIetVsxA0lng7ogu75p0tjmMgqK4E5pGqXCEyPAajoNLEW88dLWEKtZTbHL/+wcisGtojWtNRQAAAW96VFh0cmRraXRQS0w0IHJka2l0IDIwMjQuMDMuMwAAeJydkLtOwzAUho/txG6aXtJc21RiBMTOnDNVmRiQ8g6obwATC0t3XqBDK7XiFZo8AxILA1LXSogNVpyLG0sVC5Ys/fn8+c9JvnYvHyCXIzeBek3lPpP7kXC4KwFhHC/LYHCsACMKiNqg5E+j6aBUQAXYERxDpz6hpycCmzuq9QS0g/y/3ZafTmhKKUNmgGGCyVPKBYoOdCywutC1we5Brw/9AYhhSocOOqOUMjelroeeD34AQQhhBNEYxhPw4pTGBEcmTnwYWOAb8jWcxJ7LKOdi6IxM3rV7/YHFgzAaT/zohrT/H6bbzdVuPzvH8iHLgmQ/WyVlLrn3vl1pPFdc+kXN33KVt5u4aJ2HY86y5+LHnV9oPNH8ROtBxW/n96h8lcueds4qF5pTaHeb2UxsZ7hG6zNb184Cn76XTV5iO8+rlg/SWaw1nmt+rvVXfvgLN9aH0T4hU9cAAAHTelRYdE1PTDQgcmRraXQgMjAyNC4wMy4zAAB4nI1VUW7DIAz9zyl8gSJsDITPtammaWoibd3usP/dX7OpUhytoiH1U0APG4dndwAdH9P7zy/cB03DAOA7v1IKfAfv/XABfYHj+fVthtP15biunJav+foJlEEm9dlyX67LZV1BOMHBO0wyMpCLZfQ5gXe+jraVhOhdHIMMQEel+DA+4IWNw0Mj/GOy9XjouIwwW5edQyYNji49Z2ZlkmO8MTvRR2UGV54zizJ5jd7JHL1mdPfZcYm4OWePSZvcO6ljgMX4DG4sGZEfMXmTe48ZN7n3oifNnffcEebtp+/FH9Vru88eVa+JnH+uO/KVWYmhK2VCCc8u7GDqNcU1ei+4FlLaUXDEcp15V+xoXXYzT/aUXWaWzGlHPud52jSeWys6LvPUWpE+1BoOi4XWV1itNQ8Ui61FoFhqfYDFcit2FhtbRaNYaWWLarY6sQKaKsQKZKoNKwRTVViBTfVghWiqhDV6MsXACpiN5lkBRyNt1rViBKxTkacRKioQGkGiApERnk5FV0ZhqEBspIQKFI1kUIGSkQbXWNlIgBVaKD2xHLvt0U8sG9v5btcdzVdXfVg16Hz9U5P34Q/vLVQsn2//2QAAAMR6VFh0U01JTEVTNCByZGtpdCAyMDI0LjAzLjMAAHicbZA9DsMgDIWv0jFIYGEDCSgje3oIdk6Qw5cmxU5KPCD0Pfv5JxcsZdoKtTdvLud3zk7VUkl9OR2AVMXXPhkLOLdYNEFI0Ua9WgjRtdAIlJL1epUke5HNg27YpakDIvB4IKl0kP6RB+7FsqjdQ0hvNPZxENOCePER4ocqPw7M00kd78CIwMb7PQjOC7UNPLj+Db88TpvPSwpYJLlrYhoe2twN1f4B+cNn9/hFpnsAAAJWelRYdHJka2l0UEtMNSByZGtpdCAyMDI0LjAzLjMAAHice79v7T0GIBAAYkYGCFAAYhUgbmBkY8gACTAyszlogBgsbA5gAWZGmAA7RAUTI04VUDOYmNgZwALMcAE4gwMiw4QpA7fGAaoX1VBGdAGEDiR3oDlIEGIbI6YKmC0YdIIFxDZuYBgxMnkwMTE7MLMwsLAysLI5sLF7MLFzMHBwMnByMXBxM3DzMPDwMvDyMbDzO/ALeDAJCDoICjEICnswCYswiIgyiIp5MImJO4hLeDBJSDJISDlISQOlZBxkZB2Y5TyY5OQd5BkdZFk9mPg4GWT4HaRFHURYgZazMjIxy8mzsbHzy8iysnFx8/DycbIK8MsIC7KJiUtISYuKdzEiopBBYe22yfbXKz8dAHGC9nTaF3UdArP/1vE73I9YAmbHOtyyv8qXD2ZfKFB0mD5BDsw2Of7a3oJt0n4Q28ZEy8Ek5b0tiM3t99feUnCXPYi94ruRw602XQcQ+0BWp8Pccg0wO9pwvoPLlaVgNe4K5x1ObZ0NZs/weOmgHCkHVvO38bLDvGfFYLbg5MUOt79WgNk5nt/stugfAas/ev7NvnU7dMDiRyrf7b8fyQVmK+x2P9C4yg7Mzqx/sj/kjSZYfecDmwNdDv37QOwau+4DjLYtdiC2x55JB95vuQdW09C1/4DmKUGw3le3nhxgO7cKLD7hCsfBzLXvwWzZ2LsHPPeKgc151rfhgESePjgcFluv2ffwTA/YTH69DXb7nreDxe3FQuyYeErA4ebLaLVPMWkFmC0GAAcQnlU9WgeHAAAC+npUWHRNT0w1IHJka2l0IDIwMjQuMDMuMwAAeJx9VluO2zAM/M8pdAEb4ksUP7vJoiiKzQLttnco0M/eHx0qWNmLCnUiwpHH1JBDErmUvL7dvv76U+bFt8ullPqfb0SUn1JrvbyUvClPz5+/3Mv17dPT+8719cf97XsRLtLwDj4fsZ/eXl/ed6hcC+1kWonL5ru5i0upex3X8SoPYPVWWy1bw11oPv8HKADyzsrErWy2k1jXWAB1ePRqtUfZZHcx7iuPVu7waMxGVDbe1d3cFsA2PHblSl42hKW10wrog2OzUOl4TNR6rE7uw2F4D1XcqEkzWuBi+PNo0lreEIJuCxxVhKI7h3KnZCAsdeWQUhfFyRkrTuYwSLQCpi4NKeGGCACkpn0VMkl5LQ5HlfBOJlFpGTPp8NhqNOpF9k41lkEjs9cCfYm8cgIDj5dRpy51V3jiAEcT9jXQkZ4NyMbGkvmJ7s4rZCoDhXuTGplJaoT6WSFTG1QXMSo2xQkPMl9VeH349G40yqI18bY6nVMdFCLywtWSMXsWyQqa+my6C3x6nsrW2fsKKQ+kddOe1eYSPZZEUyF0VnRriATN5ghNV8iUCF1NRg7/tIuo0jIkaPS7bH03ox5Zct1ZfRlSdg8mQJA3SIvoCeW3FJT7gymOV5WEtm7sS6rx0F6kSeQAYre67A3JJgIQkeA5BKvQvi1HEQ0klKckmrWMhltNN8zKcTp19M8YW9woluE/328fJuhjpj693m/HTM0PH5NTseSYj5rrmIKEZcesI6x2TDTF8mNuKVY/xhNhxTGFKNd52tAwdBorNMwkh2KgYSY/DAoaZlKk5JhmskTra54+eVIShaFJlZIrDE22lHTTTMLoTc0dPvcgpeFJmUcu8T3yORKKGTYpc+Y0B8akjBbRNDwpc2YWhidnTs65MzlzcobhyRkFrIPP5MzJGUbO9ZinyaQsNH6iqE7lpWmOjVEF9RBaRo7tpJ7Y46AjyTII91MqshbPlZe/3/8J4P7yFwygjQD7ejJ2AAABg3pUWHRTTUlMRVM1IHJka2l0IDIwMjQuMDMuMwAAeJwlUj2u3jAMu0rHL4BjWP8SMmbp9HqAopPXIid4hy+VTrEpmRSp3Jv2/nxtfh7Zn3vrxvX+e+ytBw7Hsxv+kvv+dd9ybD6e38/PP/Tj+0OTTBeNM6ZFSIyL5gpfPk7HoXRcPFmZZJw2SSytW2LZqnHKDDHO7jFmAw1PjbDsnlRePE4o6Eoa15qiSq0FCafwcZ3AxKVkrMlhC8UL1UgjBeQu4QyIZxmBq7sqsgDpFCPJfmjJkS+E6TQHCKS6x2aluQ84iKjWC9ilYLRIDwMkpxkVgAzWZvFZ1KoQIw1e/hLhlWpjnsah75jpghB4Esw0IpN4JYCKov/u1NlYAHllRGegSYtbz4SDOqc2pADUxK2jxKhYBL5EAhqdXMrN6wIu3CsQMl5wmUHYkTl7czK5wnigsohGL0NhDh2+Cp5kQr0gglUSRd/rDR3cVtqZE3nni1gX9L13nPTqdiAJAe8/gZ0qx/H9D1zmgx8IW2VmAAACZXpUWHRyZGtpdFBLTDYgcmRraXQgMjAyNC4wMy4zAAB4nHu/b+09BiAQAGJGBghQBGJVIG5gZGPIAAkwMrM5aIAYLGwOYAFmRpgAO0QFEyNOFVAzmJjYGcACzHABOIMDIsOEKQO3xgGqF9VQRnQBhA4kd6A5SBBiG6YEJ1QCZhkGnWABsZQbGFSMTB5MTMwOzCwMLKwMrGwObOweTOwcDBycDJxcDFzcDNw8DDy8DLx8DOz8DvwCHkwCgg6CQgyCwh5MwiIMIqIMomIeTGLiDuISHkwSkgwSUg5S0h5M0jIMwrIOsnIOzPIeTPIKDgqMDnKsHkx8nAyy/A7Sog4irED7WRmZmOUV2NjY+WXlWNm4uHl4+ThZBfhlhQXZxMQlpKRFxacxIiKTQdH4X7P9uhMfD4A4oRaN9t9OHgSz7xfzOhSwLAWz0z7esb+inQ9mlx5VdXiwSQHMnvbml/0Ulcn7QWzewyYODlfn2ILYj4t5HBr5dtiD2EsPODuYNGg5gNge6yY6TLyhCGbfvbrU4Vv+VLCay4uvOmxUaAGzTbw+Ovh0CoDVzFe66/B4ZTqYvTJkrUNrYAGYfSfe2P5Y7Emw+gRD733T2wzB4i4K5/fndAuB2WKcZgf0bniC2elRZ/a/N/cCq3/BYnxAadH9vSC2zOLWA1d8vtmB2K/Cuw8sM/sDVjO5YvuB/w+VwXpzn9w98HjtFbB4NxPrwbmyULfp3zgwJdgArPcb35oDk7mv7QOxNaKWHQhT+wIOkw0+6vuq128Eq/lx6Z2d39VGsLjplnS7w30F4DCcfCZ231TlZWC2GAAXEaRaQUpX9AAAAwp6VFh0TU9MNiByZGtpdCAyMDI0LjAzLjMAAHicfVZbjuM2EPz3KXgBC/1u8nNnZjcIgvUAySR3CJDP3B+ppnYoL0BEMhuyXOwuVj/gW6vr97ff/v63rUvebrfW6H8+Y4z2lxLR7Xurh/by9ZdfH+3148vL55vX9z8fH3801aaJPbh/xn75eP/++Ybba+ODlHl4u+fh7mnYddC8rq1yAmm4SrvHQe6DbANUAOUQJh7Z7n6wRw7ZAG16TAlmAPVITXLaAL094BHhOAHEE9PgvgHG9DiC1HAYPtiG+45jTo5dzMjr5wzPscH1ieNhngrPpjlMN7gBnEKSHhBdjgij9A2OCUcxiCy460zS+9YhV16gXRf1RGQOZGXHkCsvcUSGWJ+ZlHrYALW9N+TXSKlXgrxr36nNNj0OJsvAqQJ5tJ2I7JOjcXh3ANNtYMcGWHmhI4miMzhCTM6tx4Q8d4LgUIVBMlO7bUlWZpDh4M4pdZyO2Ftk5QZF082Uiia7dt5JKXT69BFOBcg+Bu8OJHz6zJF1kGKMihxbaOXnbgdncDAA1hmts0PqiVQ361J1nGTbMpfKEDorVS0qlx4UsT1SpQjNOtRYDT4jGA2+QyJH/7R7P5SVhWeBcKdt+DydpnvnKl5kAC2yQ/aTqGZ0BIBOOBDt44/2bU6L0Z1m8w5Kk11GlX5UCZoti6AalNpNGNTQoyRHP7qWT2JDf+yQMpEiIej0Gkbek3ediQaf0YUjiE/K3LcN8vXx9tOsPafvy/vj7Zq+dcs1Yw1Lr0lqta55yVh+TUXGimv2GVZeE86w+jXIGGtc84prPc8lnoafBhBPs8hh0vA0ix/04WkWRS6OZRZLDAmr6IsnF1EYXlS5uMLwYstFt8wijIa1eiPP3cplZFGWqSU+l55TUIyHRVlKUxhZlNFMVkYWZSllazwvzlKc683iLMUZRhZnKc4wsjhLcZaq16fKtTbr8qlCK74uyirzK8rsqeCszAWZO/hKvRZhCH3lU+MMdMmuk3B/Eqeq87kW6/vnvwg83/4DXyyYBFrNnyAAAAGOelRYdFNNSUxFUzYgcmRraXQgMjAyNC4wMy4zAAB4nC1SOY7cMBD8isMRQBF9H5hQgOFo9wELR0yNecE+3kXtRKJKxTq6dS1e6/Gx5PXS9biWLbxe/4617PeB0/FaG//Q6/q8Lj2WHK+v15+//Ov7wZOUuceZ093TxxMItes4Y5J7j6dMYZJx+mSP7M1ICQaiMzXJN8WbuMaJA1PL5nSQ+jh5srWDQ9MibAvDgU1BOmlyqGYNmmpJtjGGVjgDyurmACQzOznH5lNzb8wmZ+ArZItpGwBSN6sB77eWIyCEB2IFRQKJ2Wqs4ESgDpCayoo2qOlcfHPSvXYCTuG2W0gzSncC4yLPG+MuBEXipnxnD0hsP6nOn+hlpkMxO6135S5TBidTy/Zgkijgh+apuI1xwhUePE1z+ytWUaG4gxESGIZtie/QLrVFEKZEA1c4EjN4xowM8bEXLHg+sWCj21e89GY0E6iK0J23hnH4BtKta+coMcMcKMOzYmcVCUm9d++VfDcSjiC+/5BmpDm+/wPp1ofi1zhzvAAAAmV6VFh0cmRraXRQS0w3IHJka2l0IDIwMjQuMDMuMwAAeJx7v2/tPQYgEABiRgYIUARiVSBuYGRjyAAJMDKzOWiAGCxsDmABZkaYADtEBRMjThVQM5iY2BnAAsxwATiDAyLDhCkDt8YBqhfVUEZ0AYQOJHegOUgQYhumBCdUAmYZBp1gAbGUGxhUjEweTEzMDswsDCysDKxsDmzsHkzsHAwcnAycXAxc3AzcPAw8vAy8fAzs/A78Ah5MAoIOgkIMgsIeTMIiDCKiDKJiHkxi4g7iEh5MEpIMElIOUtIeTNIyDMKyDrJyDszyHkzyCg4KjA5yrB5MfJwMsvwO0qIOIqxA+1kZmZjlFdjY2Pll5VjZuLh5ePk4WQX4ZYUF2cTEJaSkRcWnMSIik0HR+F+z/boTHw+AOKEWjfbfTh4Es+8X8zoUsCwFs9M+3rG/op0PZpceVXV4sEkBzJ725pf9FJXJ+0Fs3sMmDg5X59iC2I+LeRwa+XbYg9hLDzg7mDRoOYDYHusmOky8oQhm37261OFb/lSwmsuLrzpsVGgBs028Pjr4dAqA1cxXuuvweGU6mL0yZK1Da2ABmH0n3tj+WOxJsPoEQ+9909sMweIuCuf353QLgdlinGYH9G54gtnpUWf2vzf3Aqt/wWJ8QGnR/b0gtszi1gNXfL7ZgdivwrsPLDP7A1YzuWL7gf8PlcF6c5/cPfB47RWweDcT68G5slC36d84MCXYAKz3G9+aA5O5r+0DsTWilh0IU/sCDpMNPur7qtdvBKv5cemdnd/VRrC46ZZ0u8N9BeAwnHwmdt9U5WVgthgAFxGkWlAQ0s4AAAMKelRYdE1PTDcgcmRraXQgMjAyNC4wMy4zAAB4nH1WW47jNhD89yl4AQv9bvJzZ2Y3CIL1AMkkdwiQz9wfqaZ2KC9ARDIbslzsLlY/4Fur6/e33/7+t61L3m631uh/PmOM9pcS0e17q4f28vWXXx/t9ePLy+eb1/c/Hx9/NNWmiT24f8Z++Xj//vmG22vjg5R5eLvn4e5p2HXQvK6tcgJpuEq7x0Hug2wDVADlECYe2e5+sEcO2QBtekwJZgD1SE1y2gC9PeAR4TgBxBPT4L4BxvQ4gtRwGD7YhvuOY06OXczI6+cMz7HB9YnjYZ4Kz6Y5TDe4AZxCkh4QXY4Io/QNjglHMYgsuOtM0vvWIVdeoF0X9URkDmRlx5ArL3FEhlifmZR62AC1vTfk10ipV4K8a9+pzTY9DibLwKkCebSdiOyTo3F4dwDTbWDHBlh5oSOJojM4QkzOrceEPHeC4FCFQTJTu21JVmaQ4eDOKXWcjthbZOUGRdPNlIomu3beSSl0+vQRTgXIPgbvDiR8+syRdZBijIocW2jl524HZ3AwANYZrbND6olUN+tSdZxk2zKXyhA6K1UtKpceFLE9UqUIzTrUWA0+IxgNvkMiR/+0ez+UlYVngXCnbfg8naZ75ypeZAAtskP2k6hmdASATjgQ7eOP9m1Oi9GdZvMOSpNdRpV+VAmaLYugGpTaTRjU0KMkRz+6lk9iQ3/skDKRIiHo9BpG3pN3nYkGn9GFI4hPyty3DfL18fbTrD2n78v74+2avnXLNWMNS69JarWueclYfk1Fxopr9hlWXhPOsPo1yBhrXPOKaz3PJZ6GnwYQT7PIYdLwNIsf9OFpFkUujmUWSwwJq+iLJxdRGF5UubjC8GLLRbfMIoyGtXojz93KZWRRlqklPpeeU1CMh0VZSlMYWZTRTFZGFmUpZWs8L85SnOvN4izFGUYWZynOMLI4S3GWqtenyrU26/KpQiu+Lsoq8yvK7KngrMwFmTv4Sr0WYQh95VPjDHTJrpNwfxKnqvO5Fuv7578IPN/+A18smARO4X8nAAABjnpUWHRTTUlMRVM3IHJka2l0IDIwMjQuMDMuMwAAeJwtUjmO3DAQ/IrDEUARfR+YUIDhaPcBC0dMjXnBPt5F7USiSsU6unUtXuvxseT10vW4li28Xv+Otez3gdPxWhv/0Ov6vC49lhyvr9efv/zr+8GTlLnHmdPd08cTCLXrOGOSe4+nTGGScfpkj+zNSAkGojM1yTfFm7jGiQNTy+Z0kPo4ebK1g0PTImwLw4FNQTppcqhmDZpqSbYxhlY4A8rq5gAkMzs5x+ZTc2/MJmfgK2SLaRsAUjerAe+3liMghAdiBUUCidlqrOBEoA6QmsqKNqjpXHxz0r12Ak7htltIM0p3AuMizxvjLgRF4qZ8Zw9IbD+pzp/oZaZDMTutd+UuUwYnU8v2YJIo4IfmqbiNccIVHjxNc/srVlGhuIMREhiGbYnv0C61RRCmRANXOBIzeMaMDPGxFyx4PrFgo9tXvPRmNBOoitCdt4Zx+AbSrWvnKDHDHCjDs2JnFQlJvXfvlXw3Eo4gvv+QZqQ5vv8D6daH4pNI3/gAAAAASUVORK5CYII=",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Draw.MolsToGridImage([Chem.MolFromSmiles(smile, sanitize=False) for smile in molecules],\n",
    "                     legends=legends, molsPerRow=4, subImgSize=(300, 300))"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.12.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}