q_IT_risk_example_3.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# **IT Risk assessment calculation in a quantum computer example**"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Example 3: probablity, impact, dependencies"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Step 1: Imports and connection with IBM quantum services"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import qiskit\n",
    "from qiskit_ibm_runtime import QiskitRuntimeService\n",
    "from qiskit import QuantumCircuit, ClassicalRegister, QuantumRegister, transpile\n",
    "from collections import Counter  \n",
    "import numpy as np\n",
    "import networkx as nx\n",
    "import matplotlib.pyplot as plt  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Initialize Qiskit Runtime Service\n",
    "service = QiskitRuntimeService(channel=\"ibm_quantum\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Step 2: Data definiton"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Risk matrix for 10 assets (Ax) and 10 threats (Tx)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Assets:\n",
    "#   Web Server (A1)\n",
    "#   Database (A2)\n",
    "#   File Server (A3)\n",
    "#   Application Server (A4)\n",
    "#   Email Server (A5)\n",
    "#   Backup Server (A6)\n",
    "#   HR Database (A7)\n",
    "#   Finance Database (A8)\n",
    "#   Customer Portal (A9)\n",
    "#   Internal Network (A10)\n",
    "#\n",
    "# [A1,A2,A3,A4,A5,A6,A7,A8,A9,A10]\n",
    "#\n",
    "# \n",
    "# Asset names\n",
    "asset_names = [\n",
    "    \"Web\\nServer\", \"Database\", \"File\\nServer\", \"Application\\nServer\", \n",
    "    \"Email\\nServer\", \"Backup\\nServer\", \"HR\\nDatabase\", \"Finance\\nDatabase\", \n",
    "    \"Customer\\nPortal\", \"Internal\\nNetwork\"\n",
    "]\n",
    "# Threats:\n",
    "#\n",
    "# T1: SQL Injection\n",
    "# T2: DDoS Attack\n",
    "# T3: Data Exfiltration\n",
    "# T4: Phishing Attack\n",
    "# T5: Insider Threat\n",
    "# T6: Ransomware\n",
    "# T7: Zero-Day Exploit\n",
    "# T8: Man-in-the-Middle Attack\n",
    "# T9: Brute Force Attack\n",
    "# T10: Malware Injection\n",
    "#\n",
    "#\n",
    "probability_matrix = np.array([\n",
    "    [0.8, 0.6, 0.0, 0.2, 0.1, 0.3, 0.4, 0.5, 0.2, 0.1],  # T1: SQL Injection\n",
    "    [0.7, 0.2, 0.1, 0.0, 0.3, 0.5, 0.2, 0.4, 0.3, 0.2],  # T2: DDoS Attack\n",
    "    [0.1, 0.4, 0.5, 0.3, 0.2, 0.6, 0.1, 0.0, 0.4, 0.3],  # T3: Data Exfiltration\n",
    "    [0.3, 0.1, 0.2, 0.5, 0.4, 0.2, 0.3, 0.1, 0.3, 0.5],  # T4: Phishing Attack\n",
    "    [0.4, 0.3, 0.2, 0.0, 0.5, 0.1, 0.4, 0.6, 0.2, 0.1],  # T5: Insider Threat\n",
    "    [0.2, 0.5, 0.3, 0.1, 0.4, 0.7, 0.3, 0.2, 0.6, 0.4],  # T6: Ransomware\n",
    "    [0.6, 0.2, 0.4, 0.3, 0.0, 0.3, 0.5, 0.2, 0.1, 0.6],  # T7: Zero-Day Exploit\n",
    "    [0.5, 0.4, 0.3, 0.6, 0.2, 0.3, 0.2, 0.5, 0.4, 0.2],  # T8: Man-in-the-Middle Attack\n",
    "    [0.3, 0.6, 0.4, 0.2, 0.5, 0.2, 0.6, 0.1, 0.3, 0.7],  # T9: Brute Force Attack\n",
    "    [0.4, 0.3, 0.5, 0.4, 0.6, 0.2, 0.3, 0.4, 0.5, 0.6]   # T10: Malware Injection\n",
    "])\n",
    "\n",
    "# Impact matrix for 10 assets and 10 threats\n",
    "impact_matrix = np.array([\n",
    "    [0.9, 0.8, 0.3, 0.7, 0.5, 0.4, 0.6, 0.9, 0.7, 0.5],  # T1: SQL Injection\n",
    "    [0.6, 0.5, 0.4, 0.3, 0.7, 0.8, 0.6, 0.5, 0.8, 0.6],  # T2: DDoS Attack\n",
    "    [0.4, 0.7, 0.8, 0.5, 0.6, 0.7, 0.4, 0.3, 0.8, 0.7],  # T3: Data Exfiltration\n",
    "    [0.7, 0.3, 0.5, 0.8, 0.4, 0.5, 0.7, 0.2, 0.6, 0.8],  # T4: Phishing Attack\n",
    "    [0.5, 0.6, 0.4, 0.2, 0.9, 0.3, 0.8, 0.9, 0.6, 0.3],  # T5: Insider Threat\n",
    "    [0.3, 0.7, 0.5, 0.4, 0.6, 0.9, 0.5, 0.4, 0.8, 0.5],  # T6: Ransomware\n",
    "    [0.8, 0.4, 0.6, 0.5, 0.3, 0.4, 0.9, 0.3, 0.2, 0.9],  # T7: Zero-Day Exploit\n",
    "    [0.5, 0.6, 0.5, 0.7, 0.5, 0.4, 0.6, 0.8, 0.7, 0.4],  # T8: Man-in-the-Middle Attack\n",
    "    [0.6, 0.8, 0.6, 0.4, 0.7, 0.3, 0.7, 0.4, 0.5, 0.9],  # T9: Brute Force Attack\n",
    "    [0.7, 0.4, 0.8, 0.6, 0.9, 0.5, 0.5, 0.6, 0.8, 0.8]   # T10: Malware Injection\n",
    "])\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Add dependencies values between assets"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Adjacency matrix definition\n",
    "\n",
    "adjacency_matrix = np.array([\n",
    "    [0.0, 0.3, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.2],  # A1 depends on A2 and A10\n",
    "    [0.0, 0.0, 0.0, 0.5, 0.0, 0.0, 0.0, 0.0, 0.1, 0.0],  # A2 depends on A4 and A9\n",
    "    [0.2, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.3, 0.0, 0.0],  # A3 depends on A1 and A8\n",
    "    [0.0, 0.2, 0.1, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.4],  # A4 depends on A2, A3 and A10\n",
    "    [0.1, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.5, 0.0, 0.0],  # A5 depends on A1 and A8\n",
    "    [0.0, 0.3, 0.2, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],  # A6 depends on A2 and A3\n",
    "    [0.0, 0.0, 0.0, 0.4, 0.0, 0.0, 0.0, 0.2, 0.0, 0.0],  # A7 depends on A4 and A8\n",
    "    [0.0, 0.1, 0.3, 0.0, 0.2, 0.0, 0.0, 0.0, 0.0, 0.0],  # A8 depends on A2, A3 and A5\n",
    "    [0.3, 0.3, 0.0, 0.3, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],  # A9 depends on A1, A2 and A4\n",
    "    [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.1, 0.0, 0.3, 0.0]   # A10 depends on A7 and A9\n",
    "])\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Create graph of dependencies between assetts"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x700 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "G = nx.DiGraph()\n",
    "G.add_nodes_from(asset_names)\n",
    "\n",
    "# Add edges to the graph with the weights of adjacency matrix\n",
    "for i in range(adjacency_matrix.shape[0]):\n",
    "    for j in range(adjacency_matrix.shape[1]):\n",
    "        if adjacency_matrix[i, j] > 0:\n",
    "            G.add_edge(asset_names[i], asset_names[j], weight=adjacency_matrix[i, j])\n",
    "\n",
    "# Draw graph\n",
    "pos = nx.spring_layout(G, seed=42)\n",
    "edges = G.edges(data=True)\n",
    "weights = [edge[2]['weight'] for edge in edges]\n",
    "\n",
    "plt.figure(figsize=(10, 7))\n",
    "nx.draw_networkx_nodes(G, pos, node_size=700, node_color=\"lightblue\")\n",
    "nx.draw_networkx_edges(G, pos, edgelist=edges, width=2, alpha=0.7, edge_color=weights, edge_cmap=plt.cm.Blues)\n",
    "nx.draw_networkx_labels(G, pos, labels={node: node for node in asset_names}, font_size=9, font_weight=\"bold\")\n",
    "\n",
    "# Add weights to the edges\n",
    "edge_labels = {(u, v): f\"{d['weight']:.1f}\" for u, v, d in G.edges(data=True)}\n",
    "nx.draw_networkx_edge_labels(G, pos, edge_labels=edge_labels)\n",
    "\n",
    "plt.title(\"Asset dependency graph\")\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Step 3: Now entering in Quantum Realm..."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Define the number of assets and create the quantum circuit"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of assets = 10\n"
     ]
    }
   ],
   "source": [
    "num_assets = len(asset_names)\n",
    "qr = QuantumRegister(num_assets, 'q')\n",
    "cr = ClassicalRegister(num_assets, 'c')\n",
    "qc = QuantumCircuit(qr, cr)\n",
    "print(\"Number of assets =\",num_assets)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Apply Hadamard gates to put the qubits in superposition"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "for i in range(num_assets):\n",
    "    qc.h(qr[i])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Calculate risk matrix"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[0.72 0.48 0.   0.14 0.05 0.12 0.24 0.45 0.14 0.05]\n",
      " [0.42 0.1  0.04 0.   0.21 0.4  0.12 0.2  0.24 0.12]\n",
      " [0.04 0.28 0.4  0.15 0.12 0.42 0.04 0.   0.32 0.21]\n",
      " [0.21 0.03 0.1  0.4  0.16 0.1  0.21 0.02 0.18 0.4 ]\n",
      " [0.2  0.18 0.08 0.   0.45 0.03 0.32 0.54 0.12 0.03]\n",
      " [0.06 0.35 0.15 0.04 0.24 0.63 0.15 0.08 0.48 0.2 ]\n",
      " [0.48 0.08 0.24 0.15 0.   0.12 0.45 0.06 0.02 0.54]\n",
      " [0.25 0.24 0.15 0.42 0.1  0.12 0.12 0.4  0.28 0.08]\n",
      " [0.18 0.48 0.24 0.08 0.35 0.06 0.42 0.04 0.15 0.63]\n",
      " [0.28 0.12 0.4  0.24 0.54 0.1  0.15 0.24 0.4  0.48]]\n"
     ]
    }
   ],
   "source": [
    "risk_matrix = probability_matrix * impact_matrix\n",
    "\n",
    "print(risk_matrix)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Apply risk-based rotations based on the risk matrix"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "for i in range(risk_matrix.shape[0]):  # For each threat\n",
    "    for j in range(num_assets):  # For each asset\n",
    "        if risk_matrix[i][j] > 0:\n",
    "            qc.ry(2 * np.arcsin(np.sqrt(risk_matrix[i][j])), qr[j])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Draw the partial quantum circuit"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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j+wNQlG9zvHC1WK14B/jVyBcvV3NqWzzZqRnXXK9uZATNbuvF3jf/r8TyonwbaZv31ahPH67FP6Q2IV1bk/DJNwAcX7uNWo1DCG5R+oe5rpbbyHPC2fz1OzYnJW4vRQXF7zInxe6h9dgB19z+pWNpnIs/DoC9qIj07xPK3K/cxRX5nc3o5edDqzE3cXhJbFVGqjBX7AP1O7bg1I4D2LJyAUj6ejetx95c9YOvAs4eB6+mMCe/uJkBvHy98fb3rVH7vCs1G9GbE1/sAGDTo39h1eBprBo6nf0LVtP/b0+4eXTOc3YfsNuLH1MvPx8AfIICyE49W2p7AQ3r0ah/ZxKWbwIguEU4oVGt2b9gtWOdnDPnqyjN9XNmH8g/n8npHQewZeeVui1j3zEyT5wGil9bZexLJKhpgyoZq6uZ8hMa8WwdJ43gxLqdpZYHNQklM+mM4+/Mk6cJaFgXi5cVe2ERVh9vbv/sNWpFhHEu/jhfPzi7Oodd5SzeXvSd+zibp813nD5iZLWahJJz6lyJLJnJ6dRqElridMPycht5Tjib/+yPR2l3/1AOLPwcW24+LUf1LfGi3TvQj9s/n4XFy8qJz3fw47wV2ItK1sk7wI/IiYNr1GkWrsp/WXkZm43ozaUTp655Kmd1c8U+cPbHBNo/dCsBYXXJOXOeVmNuwjc4EN+6QeSfzwRg2MczsXp5kfrtXvbM/g+2nNIvhIwkuEU4o9bPwV5YxOH/bODge+sctwVFhDFo0dMEt2hI0le7ObBoXTlbqrl8awdy54bX8fL3JTslHaufD8HNGpKwfBNbn/kXDW9sx7e/fQugxKdvvsGBhmrinN0HTq7fRaN+nRj/4zvYMnPISsvgi7tK/4hkm/EDSYrdQ+7Zi0DxGwFZqWeJnv0IIV1bk3cuk+/+9IGhPsGqrICwurS4vQ9fPTDL3UNxihoa8Shdpo4huEU4W8ZV/LSpogIbq4ZOx+rjTe9XfkW7+4eyb/7KKhile3Sbdg/HP9vOhcPJBEXUnHfaq9r15PaEOXFk6QaCIsK4bcUfKczNJyXuRxoPiAIg+/Q5lnV/lNyzF/GtG8Qt/3iSTo+NKpHR6uPNgAW/J3njD5z4fIe7YlRaefkvu1bGtv8zmMMf1axPZyqivH0gbct+9r29isHvz8BeWMSJz7cDOD6p+LjnY2Qlp+Md4Ef0nEfp+eL9bJvxTql/wyjO7j3KshsmU3Apm8BG9RnywXPkZVwkcfVWADKTzrBqyFN4B/pz89+n0nxEb46t3OzmUVdc/sVsjv5fHAVZufz4+nIa39KVqKlj2PLUP2g8oCundx50PMYA/d/4DY36dgLgy/teddewq0xo19bUbdeMj7s/Sv6lHHo8N5HoOY8SN+WNEuu1nTCQ7c8vdPxt8fYitHsbdr/2EVtj/kmTQd0ZvPgZlvf6dYn6eRqfoAAGL36GvfNXcvaHBHcPxymmPOVMPFOnx+6g+YjefDXxFQpzSn9xOTM5vcSTeVDTBuScOl/qHcuiAhtH/rPBsKddXE14dCc6PDycsTvmM3zln/AJDmDsjvn4hdR299AqJSs5nYCG9bB4/XwYC2oSSlZyeon1ystt5DnhbH6A7/+yjNXDpvPZHc9x4VCS4wuzRfk2xzuR+eczOfyfWBr2/vkHhC3eXgxY8CQ5p8+x44WFpbbrTq7ID9fOGNS0AWE92nLs/+KqJsh1cMU+AHDwvXWsue1p1o6cQdqW/WQlp1OQmeP4NwBsOXkcWLSuxPwwooLMHAouFX8ikZ2awbFPvy0zky07l2OfbqbVmJuqe4guU79zSzL2Fn+SEBLV2vGpQrPbbuT4Lxr3b6e+ycc9H2P37CX0fP6+UtuqqZzdB1rfM4DUzfuKP42y20lYtpHw/zZwl4VHd8LLz5eUK75Pk5WcTnZaBmlb9gOQHLsHL19vj35T0LuWP0M/ep4T63by0wLjfH9MDY14hI6Tb6flXf1YP/6PV/3yavKGPdTv0oo6bRoD0P7BWx3vvNWKCMUrwLd4RYuF5qOiybjiyk+e4PPRL7D8xsdZ3uvXfH7n8xRcymF5r1+T998XtEaTe/YiGXuP0fru4iaj+cg+ZKVmlLq6XXm5jTwnnM3v5eeDb51aAPjVD6bLlNHs/funQPH55xZvLwCsvt40H9GHs/990WPxsjLgH0+Sdy6TLU/9o5pSOc8V+Z3J2PZ/BnHi8x018kvxrtgHAAIa1AXAK8CXbjET2PvfT+h869QqsQ+0vLMvZ/clVku2qhLQoC5YLEDxC7eIIT0cmYJbhP+8P/h402x4LzL++x0rI6rfqYWjiQmJasXZ/zY3jW/pVuJ7p1dK+HgT4X074VcvqNrGeT2c3QcunThFo36dsfoUn5gUMbQn5w+eLLFO23sHcWTZhhKn3J79IYGCSznU69AcgNBubcBiISul9BsnnsA7sLiZSd6whx//9om7h1MhOuVMDC+wUX16/eEhLiamcdvyPwBQmG9j7cgZdJs+npxT5zi4eD22rFy2THubQf9+GouXlfMHTxI3tfgc4nodmnPDM/cCYLFaOLv3GDuef9ddkSoses6jRAzuQUCDugxd8jwFmTms6Psb+s59jJPrd3Fy/a5rbuOOr/+Cf0htfIIDuOe7BaRt2Ufcb96shtFX3paYBfT/2xN0mTqGgswcvv3d3wGczm30OeFMfp/gQG5b8RL2IjsWq4X4dz4j6cvvAGjQuwPdp4/HXliExduLtG/38uO84iexlnf2o8XIPmTsT+SOL/8MwKmdB0tc/crdrjf/NTNaLLQZdwtxU2vufnC9+wDAsP+8AFYrXj7eJCzfxIGFnwNQp00ToudMBrsdi7cXGXuPsr0GXeXvl5w5DjYf2Yd2D96K3VaIxduL46u3cuQ/xacTNurfmQ4Pj3DsD6lxe/nx9eVuTlU5geH1wW4nO634C+L1OzTnx3mfENq9LRcOJ2PLLr4IhG/tQLwC/Mg5dQ4o/vQm71wmeecy3Tb2inJmHzjw7y+o2zaCO76eS1FBITlnzrM1ZoFjGz7BgTQb0ZuVA39favvf/vYt+s59DC9/X4ryC9gwaW6NvZS3M/uAV4AvY759Ey8/b3yCA7nnuwUkfLKJ3a9+RMdHRhDWvQ0+gX40H9EbgMQ1W/lx3go3J7s2i91uoG9/mYg9NxfbOGP8FgiA97L3sPj7u2x7Bdm5fNjaOB97A0xM+ACfQNfUwOz5QTVQfnPnB9XA7Pmh8jWIGNKDDr+6jS/vfQWA2z+fRcb+RPIyLnExMY3DH30NFH8Sfcs/p+Ht74u9yE7u2Yvs+uPiSl8Ao6bkdyftA66dA87SJzQiIiIiHiTpq+9I+uo7x9+Xf5flzo2vs+6K32jLSkpn7YgZ1T4+EVdTQyMiIiJiAitvedLdQxCpEroogIiIiIiIGJYaGhERERERMSxdFKCGstvtkGegX2P288Py30thuoLdbjfcr1F7B7iuBmbPD6qB8ps7P6gGZs8PxquB2fOD9gFXzwFnqaERERERERHD0ilnIiIiIiJiWGpoRERERETEsNTQiIiIiIiIYamhERERERERw1JDIyIiIiIihqWGRkREREREDEsNjYiIiIiIGJYaGhERERERMSw1NCIiIiIiYlhqaERERERExLDU0IiIiIiIiGGpoREREREREcNSQyMiIiIiIoalhkZERERERAxLDY2IiIiIiBiWGhoRERERETEsNTQiIiIiImJYamhERERERMSwvN09ACmb3W6HvDx3D8N5fn5YLBaXbc5ut2PLMVB+wDvAdTUwe35QDZTf3PlBNTB7fjBeDcyeH7QPuHoOOP3vVvu/KM7Jy8M27kF3j8Jp3sveA39/l23PlpPHh63vc9n2qsPEhA/wCXRNDcyeH1QD5Td3flANzJ4fjFcDs+cH7QOungPO0ilnIiIiIiJiWGpoRERERETEsNTQiIiIiIiIYamhERERERERw1JDIyIiIiIihqWGRkREREREDEsNjYiIiIiIGJYaGhERERERMSz9sKZ4lPDoTty24qUSywqycrh4NJWE5d8Q/+5n2AuL3DS6qqf85s4PqoHZ84NqoPzmzg+qgRnzq6ERj3R0RRxJsbvBYiEgrC5t7hlAr5ceok7bJmydvsDdw6tyym/u/KAamD0/qAbKb+78oBqYKb8aGvFIZ/ce4+gncY6/Dy5ax11x84i8dzC7Zy0h7+xFN46u6im/ufODamD2/KAaKL+584NqYKb8+g6NmIItJ48zuw9jsVqp3byhu4dT7ZTf3PlBNTB7flANlN/c+UE18OT8amjENIJbFO+8eecz3TwS91B+c+cH1cDs+UE1UH5z5wfVwFPzm+KUs/T0dObMmcOKFStISkoiLCyMMWPG8OqrrzJ16lQWLlzIm2++yZQpU9w9VHER7wBf/OoHO84bbffAMEK6tOLM7sNcPJrq7uFVOeU3d35QDcyeH1QD5Td3flANzJTf4xua77//nuHDh5OWlkatWrXo2LEjKSkpvPHGGyQkJJCRkQFAt27d3DvQKrIp/TRDt25kVscoft+6fZnr+K5exogGjfi0903VPLqq0z1mAt1jJpRYlrh2G9tnvOOmEVUv5Td3flANzJ4fVAPlN3d+UA3MlN+jG5r09HRGjRpFWloa06ZNY+bMmQQHBwMwZ84cnn76aby9vbFYLERFRbl5tOJKB99fT+LqrVh9vKnXvhmdnxhNrUYhFOblO9YZ8PaTYLWwafJfHct86wYxeuPr7PrjYo6uiCtr04ag/ObOD6qB2fODaqD85s4PqoGZ8nv0d2imTp1KUlISU6ZMYe7cuY5mBiAmJoauXbtis9lo0aIFtWvXduNIxdUuHk0jNW4vybF72Dd/JV8/OIvQbq2Jnj3Zsc7WGf+iwY3taDm6n2NZn1cncXrHAcPswFej/ObOD6qB2fODaqD85s4PqoGZ8ntsQxMfH8/SpUsJDQ3ltddeK3OdHj16ANC1a1fHsssNUK9evfDz88NisVTLeKVqndl1kITl39BydD/CerYDIP98JlumvU3vVyYR0LAezUf2IbxvJ7Y+7VnXZgflN3t+UA3Mnh9UA+U3d35QDTw5v8c2NEuWLKGoqIiJEycSFBRU5joBAQFAyYbmyJEjfPLJJ4SHh3PjjTdWy1irQ3ZhIel5eWX+ZxY/vL6cIlsh3aePdyxL3vA9iau3cPNbU+kz6xG2THubvHOedeWPy5Tf3PlBNTB7flANlN/c+UE18NT8HtvQxMbGAjBw4MCrrpOUlASUbGhuvvlmUlNTWbVqFUOGDKnaQVajPx7cT+P1K8v8zywuJaZxbOVmGt8cRYPeHRzLd720mOCW4STH7iHp691uHGHVUn5z5wfVwOz5QTVQfnPnB9XAU/N77EUBjh8/DkDz5s3LvN1ms7F582agZENjtbq+x+vZsydpaWkVuk+A1cpP3aJdNoZJzVpxd+OmZd42fNum695+ZGQkOUVF172dy3zsVmbSy2Xbu+zHeZ/QcnQ/uk8fz7qxfwCKf2gq8/hpzsWfuK5tR7aNpMDimhqYPT9UTQ2qMj9oDih/zd8HwDg1MHt+MN5x0Aj5wTg1MFv+8PBwdu3aVan7emxDk5WVBUBOTk6Zty9dupT09HSCg4Np2bJllY4lLS2N5OTkCt0n0MsLurluDG2CghgcVnW/CpuSkkJ2YaHLtudr8YJKDDdt634WNRp71dsvHE5mccT4q95+PVJSU8i3u6YGZs8PlauBO/OD5oDyu38fAM+pgdnzg/GOgzUhP3hODcyevyI8tqEJDw/n3Llz7N69m+jokp90pKamMn36dACioqKq/Iv/4eHhFb5PQBV8UlSVGjdu7PJPaHDd5qpF40aNXfqujJnzg2qg/ObOD6qB2fOD8Wpg9vygfeB68lfm9fJlHtvQDBkyhPj4eGbPns3QoUOJjIwEYOfOndx///2kp6cD1fODmpX5+Myem4tt3INVMJqqcejQISz+/i7bXkF2Lh+2vs9l26sOhw4fwifQNTUwe35QDZTf3PlBNTB7fjBeDcyeH7QPuHoOOMtjG5qYmBg++ugjTp48SadOnWjfvj25ubkcOXKE4cOH06JFC9atW1fi+zNiXl/cPdPdQ3Ar5Td3flANzJ4fVAPlN3d+UA2MnN9Y5zVVQEREBHFxcYwcORJ/f38SExOpX78+CxYsYO3atRw6dAhADY2IiIiIiIF57Cc0AB06dGDNmjWllmdmZpKYmIjVaqVz585uGJmIiIiIiLiCRzc0V7N//37sdjuRkZEEBgaWun358uUA/PTTTyX+btGiBT179qy+gbrAgNAG5I8aV+4617pdRERERKSmMmVDs3fvXuDqp5vdc889Zf794IMPsmjRoiodm4iIiIiIOE8NTRnsdnt1DkdcoNfLv6LZrT0JatqAVUOeImN/Yql1wqM7MeTDZ7mYkOJYtnbUcxTm5hPWI5LoWY8AYPHx5vSOeLY/v5CifFt1Raiw4Jbh3DTvN/jVD6bgUjbf/vYtzh9KKrVe3fbN6PPKw/iH1QFg96wlnPhse4l1bv14JiFdWvFR+9JX1uv/tydoM34gH7V7gPyL2VUT5jo58/gHRYTRf94U6nduQeaJ06waOt1xW3i/zvR4biI+tfyx2yHpq+/47pUPoYYfC5yZA87O7bLmQOcnRtNm3ACK8m0U5hWw/fmFpH9/pOqDOcmpfcBi4caZD9BkYDeKbEXknbvElqf+waXENBrf0pWez/18BSH/0DrknDnP6mExAPjWqUXvVycR2rU1RbZCktbv4rtXP6zOiBXi1HGwnLl+rXrURM7MgfKO/W3GD6TjpBGO5YGNQzi1LZ4ND/+5xDY85TgI0PZ/BtFlyl1gtZC2eR9bn/kXdluhYY+DV9JrgbL3gWvN84ghPbhx5gNYrFbOHTjBt799i4LMHEMdE9TQiEc4vnYr++Z/yoiVfyp3vYsJKSVeyF6W8VMiq4c/g91WCBYLA999ivYP3cZP/yz9Hayaou+cyRz64EuOLNtI85F96D9vCmuGP1NiHa8AXwYvepq4qW9yescBLFYrvvWCSqzTcfLtXDp+ipAurUr9G81G9KbIVv0/kFVRzjz++Zk57J69BN/gQG545n9K3nYhi02PvU7midN4+fkwbNmLtLlnAEeWbazikV8fZ+aAM3O7rDlQv1ML2j90K58OeBJbdi6t7r6J3q8+zNoRM6ot37U4k7/ZrT1pcGN7Vg5+CrutkKjf3c0NM+5l0+S/krLxB1Zt/MGx7uDFM0jbvM/xd7/Xf83pHQeJe2IeAAFhdaslV2U5tR+UM9evVY+ayJk5AFc/9h9ZuoEjSzc4/r5zw185uuKbEut40nEwqGkDusdMYPWwGHLOnGfQoqdpd99QDiz6wrDHwSvptUDZ+0B589w70J9+f32cL8a8yIUjKfR+5WG6PjmWXS+/b6hjgsde5aw8sbGx2O12Ro4c6e6hiIuc2hZPdmpGpe9fmJNffAADvHy98fb3rdHvSvmH1Caka2sSPik+IB1fu41ajUMIblHyR6la3XUTZ747xOkdBwCwFxWRd/ai4/a6kRE0u60Xe9/8v9L/RmgdoqaOYcfMRVUXxEWcefzzz2dyescBbNl5pW7L2HeMzBOnASjMKyBjXyJBTRtUyVhdxdk5cK25fbU5YLfbsXp74R3oB4Bv7VrXtY+5mrP57fbi3F5+PgD4BAWQnXq21PYCGtajUf/OJCzfBEBwi3BCo1qzf8Fqxzo5Z85XURrXcGY/cHau/7IeNZGzc8BZod3b4h9ahxPrfv7tOE87Dja/vQ8n1+9yzOWDi9fT8q5+gDGPg7+k1wLX3gd+Oc+bDOpOxr5jXDhS/InVgffW0XJ0/1L3q+nHBFN+QiPmFdwinFHr52AvLOLwfzZw8L11jtuCIsIYtOhpgls0JOmr3RxYtK6cLblXrSah5Jw6h73w51/jzUxOp1aTUC4lpjmW1Y2MoDC/gMGLZ1CrUX0y4k+w86X3yDt7EYu3F33nPs7mafNLbOeyvnMfY9fL72PLyq2WTDVFQFhdWtzeh68emOXuoZTL2TkAV5/b5c2Bcz8dZ/8/1zB2x3zyzmVSmF/AF3e9WPXBnORs/pPrd9GoXyfG//gOtswcstIy+OKu0r+10Gb8QJJi95D734a/bmQEWalniZ79CCFdW5N3LpPv/vQBGfuOVX24alLeXP9lPWqiiuwD5R37L2t77yASlm9yvKAFzzsOBjUJJTPpjOPvzKQz1GoSWmo9oxwHK8tsrwWu9Mt5XmpOnDxNQMO6WLysJbZb048JpvyERszp7N6jLLthMquHxRD7qzm0e2AYLUZFO27PTDrDqiFPsTTqEbz8fGg+orcbR+saFi8vGt8UxdaYBawaOp3stLOO84O7TbuH459t58Lh5FL3a3vvYLKS02vsR8tVxScogMGLn2Hv/JWc/SHB3cNxmavN7fLmQFDTBjQf0ZtPoqfwcY/J/PTPNQxY8GR1D/26hXZtTd12zfi4+6Ms7fYoqXF7iZ7zaKn12k4YyOGPvnb8bfH2IrR7G459upk1tz7NT/9cw+DFz2Dx9qrO4VeZa831X9bDyK517AfwDvCj5Z39OLwk1rFMx0HPOg5eZsbXApeVNc+dVdOPCWpoxDQKMnMouFT8Zc7s1AyOffotDXt3KLWeLTuXY59uptWYm6p7iE7LSk4noGE9LF4/78JBTULJSk4vtV7qlv1kpxV/BH90+TeE3RAJFH8xssPDwxm7Yz7DV/4Jn+AAxu6Yj19IbcL7dabZrTcydsd8xu6YD8AdsX+hfueW1ZSw+nnX8mfoR89zYt1OflpQc8+XvszZOXClX87t8uZA85F9OHfgBDmnzgFw5D8baNirA1afmvHBvrP5W98zgNTN+4q/yG23k7BsI+F9O5VYJzy6E15+vqRcca54VnI62WkZpG3ZD0By7B68fL0JigirwlTV41pzvax61ETOzgFnjv0tRkVz/uBJLlzxZWpPPA5mJqeXmMNBEWEl6mW042BlmPG1wGVlzfNSc6JpA3JOnS/x6YwRjglqaMQ0AhrUBYsFKD5oRwzpwdl9iUDxx8+X33m1+njTbHgvMuKPu2mk15Z79iIZe4/R+u6bAWg+sg9ZqRmlPmJOXL2F0G6t8QkKAKDJ4BvI+CkRgM9Hv8DyGx9nea9f8/mdz1NwKYflvX5N3tmLxD0xj497PsbyXr9mea9fA7Bq0DSPOt3mSt6BxU/iyRv28OPfPnH3cJzi7Bwob26XNwcunThFgxvb4x3oD0DE0B5cOJJMUUHNuNqPs/kvnThFo36dHY1YxNCenD94ssQ6be8dxJFlG7AX/fwEfvaHBAou5VCvQ3MAQru1AYuFrJSrN4xG4MxcL6seNZGzc6C8Y/9lbe8dXOpda088Dh5fu42mw3o6LnDR7oFhHPt0M2DM42BlmPG1wGVlzfPkDXuo36UVddo0BqD9g7dybOXmX9yv5h8TasZbbSLXKXrOo0QM7kFAg7oMXfI8BZk5rOj7G/rOfYyT63dxcv0umo/sQ7sHb8VuK8Ti7cXx1Vs58p/iHbtR/850eHgE9sIiLN5epMbt5cfXl7s5Vfm2xCyg/9+eoMvUMRRk5vDt7/4OUCJzVnI6P76xghGrX8FeZCc7LYMt0//h5pG7njOPv1eAL2O+fRMvP298ggO557sFJHyyid2vfkTHR0YQ1r0NPoF+jtMLEtds5cd5K9ycrHzOzIHKzu0Tn20ntFtrRq2bTWFeAbbsPL7579W+agpn8h/49xfUbRvBHV/PpaigkJwz59kas8CxDZ/gQJqN6M3Kgb8vtf1vf/sWfec+hpe/L0X5BWyYNLdGX77Vmf3gWnO9vHrURM7MgfKO/QC1WzemfqcWpV7EGY0zj3/midPsmbuM4auKrwKWtmU/B9//EsCwx8Er6bVA2fsAXH2e27Jy2TLtbQb9+2ksXlbOHzxJ3NS3HLcb5ZhgsetHV2oke24utnGlfxOkpvJe9h4Wf3+Xba8gO5cPW9937RVrkIkJH+AT6JoamD0/qAbKb+78oBqYPT8YrwZmzw/aB1w9B5ylU85ERERERMSw1NCIiIiIiIhhqaERERERERHDUkMjIiIiIiKGpYZGREREREQMS1c5q6Hsdjvk5bl7GM7z88Py3+u6u4LdbseWY6D8FP8Cr6tqYPb8oBoov7nzg2pg9vxgvBqYPT9oH3D1HHCWGhoRERERETEsnXImIiIiIiKGpYZGREREREQMSw2NiIiIiIgYlhoaERERERExLDU0IiIiIiJiWGpoRERERETEsNTQiIiIiIiIYamhERERERERw1JDIyIiIiIihqWGRkREREREDEsNjYiIiIiIGJYaGhERERERMSw1NCIiIiIiYlhqaERERERExLDU0IiIiIiIiGGpoREREREREcNSQyMiIiIiIobl7e4BSNnsdjvk5bl7GM7z88Nisbhsc3a7HVuOgfID3gGuq4HZ84NqoPzmzg+qgdnzg/FqYPb84PoaiHPU0NRUeXnYxj3o7lE4zXvZe+Dv77Lt2XLy+LD1fS7bXnWYmPABPoGuqYHZ84NqoPzmzg+qgdnzg/FqYPb84PoaiHN0ypmIiIiIiBiWGhoRERERETEsNTQiIiIiImJYamhERERERMSw1NCIiIiIiIhhqaERERERERHDUkMjIiIiIiKGpYZGREREREQMSz+sKR4lPLoTt614qcSygqwcLh5NJWH5N8S/+xn2wiI3ja7qKb+584NqYPb8oBoov7nzg2pgRmpoxCMdXRFHUuxusFgICKtLm3sG0Oulh6jTtglbpy9w9/CqnPKbOz+oBmbPD6qB8ps7P6gGZqKGRjzS2b3HOPpJnOPvg4vWcVfcPCLvHczuWUvIO3vRjaOrespv7vygGpg9P6gGym/u/KAamIm+QyOmYMvJ48zuw1isVmo3b+ju4VQ75Td3flANzJ4fVAPlN3d+UA08mRoaMY3gFsUHr7zzmW4eiXsov7nzg2pg9vygGii/ufODauCpdMqZeCTvAF/86gc7zptt98AwQrq04szuw1w8muru4VU55Td3flANzJ4fVAPlN3d+UA3MxBQNTXp6OnPmzGHFihUkJSURFhbGmDFjePXVV5k6dSoLFy7kzTffZMqUKe4eqsttSj/N0K0bmdUxit+3bl/mOr6rlzGiQSM+7X1TNY+u6nSPmUD3mAklliWu3cb2Ge+4aUTVS/nNnR9UA7PnB9VA+c2dH1QDM/H4hub7779n+PDhpKWlUatWLTp27EhKSgpvvPEGCQkJZGRkANCtWzf3DlRc6uD760lcvRWrjzf12jej8xOjqdUohMK8fMc6A95+EqwWNk3+q2OZb90gRm98nV1/XMzRFXFlbdoQlN/c+UE1MHt+UA2U39z5QTUwE4/+Dk16ejqjRo0iLS2NadOmkZqayu7du0lLS2P27NmsXbuWnTt3YrFYiIqKcvdwxYUuHk0jNW4vybF72Dd/JV8/OIvQbq2Jnj3Zsc7WGf+iwY3taDm6n2NZn1cncXrHAcMfwJTf3PlBNTB7flANlN/c+UE1MBOPbmimTp1KUlISU6ZMYe7cuQQHBztui4mJoWvXrthsNlq0aEHt2rXdOFKpamd2HSRh+Te0HN2PsJ7tAMg/n8mWaW/T+5VJBDSsR/ORfQjv24mtT3vetemV39z5QTUwe35QDZTf3PlBNfBkHtvQxMfHs3TpUkJDQ3nttdfKXKdHjx4AdO3a1bFs+fLl3H333TRv3pzAwEDat2/Pc889R2amsa+GkV1YSHpeXpn/mcUPry+nyFZI9+njHcuSN3xP4uot3PzWVPrMeoQt094m75yxH+urUX5z5wfVwOz5QTVQfnPnB9XAU3lsQ7NkyRKKioqYOHEiQUFBZa4TEBAAlGxo5s6di5eXF6+++iqff/45jz/+OG+//Ta33XYbRUVF1TL2qvDHg/tpvH5lmf+ZxaXENI6t3Ezjm6No0LuDY/mulxYT3DKc5Ng9JH29240jrFrKb+78oBqYPT+oBspv7vygGngqj70oQGxsLAADBw686jpJSUlAyYZm9erVhIWFOf4eMGAAYWFhTJw4kW+//Zabb765wmPp2bMnaWlpFbpPgNXKT92iK/xvXc2kZq24u3HTMm8bvm3TdW8/MjKSHBc2fD52KzPp5bLtXfbjvE9oObof3aePZ93YPwDFP7SVefw05+JPXNe2I9tGUmBxTQ3Mnh+qpgZVmR80B5S/5u8DYJwamD0/GO84aIT8YKwamEl4eDi7du2q1H09tqE5fvw4AM2bNy/zdpvNxubNm4GSDc2VzcxlPXv2BCA5OblSY0lLS6vwfQO9vKBbpf65MrUJCmJwWNX9Km5KSgrZhYUu256vxQsqMdy0rftZ1GjsVW+/cDiZxRHjr3r79UhJTSHf7poamD0/VK4G7swPmgPK7/59ADynBmbPD8Y7DtaE/OBZNRDneGxDk5WVBUBOTk6Zty9dupT09HSCg4Np2bJludvasGEDAB06dCh3vasJDw+v8H0CrMY6G7Bx48Yu/4QGg73B0bhRY5e+M2nm/KAaKL+584NqYPb8YLwamD0/uL4GZlKZ18uXeWxDEx4ezrlz59i9ezfR0SVP3UpNTWX69OkAREVFYbFYrrqd5ORkXnjhBW677bZK/1ZNZT4+s+fmYhv3YKX+PXc4dOgQFn9/l22vIDuXD1vf57LtVYdDhw/hE+iaGpg9P6gGym/u/KAamD0/GK8GZs8Prq+BOMdjG5ohQ4YQHx/P7NmzGTp0KJGRkQDs3LmT+++/n/T0dKD8H9TMzMzkzjvvxNfXl4ULF1bHsMVNvrh7pruH4FbKb+78oBqYPT+oBspv7vygGhiZsc5rqoCYmBhCQkI4efIknTp1okuXLrRt25ZevXrRqlUrBg0aBJT8/syVcnJyGDVqFMeOHWP9+vU0atSoOocvIiIiIiJO8NiGJiIigri4OEaOHIm/vz+JiYnUr1+fBQsWsHbtWg4dOgSU3dAUFBQwduxYdu3axeeff07Hjh2re/giIiIiIuIEjz3lDIq/xL9mzZpSyzMzM0lMTMRqtdK5c+cSt13+7Zqvv/6azz77jF69XH+5wOo0ILQB+aPGlbvOtW4XEREREampPLqhuZr9+/djt9uJjIwkMDCwxG1PPPEEH3/8Mc888wyBgYFs27bNcVvr1q3LvKyziIiIiIi4h8eeclaevXv3AmWfbvb5558DMGvWLKKjo0v8t3bt2modp4iIiIiIlM+Un9CU19AkJiZW82iksoJbhnPTvN/gVz+YgkvZfPvbtzh/KOmq69/68UxCurTio/Y/Xw47YkgPbpz5ABarlXMHTvDtb9+iIDOHoKYNuOWdaVitVizeXlw4nMyW6f8g/0JWdUSrsF4v/4pmt/YkqGkDVg15ioz9iaXWCesRSfSsRwCw+Hhzekc8259fSFG+jTbjB9Jx0gjHuoGNQzi1LZ4ND/+5uiJUmLOPf932zejzysP4h9UBYPesJZz4bHuJdcqaG5f1/9sTtBk/kI/aPUD+xeyqCVNJztQgPLoTQz58losJKY5la0c9R2FuvtOPe02tgTP5r5Wx0+N30GbcLVisFi4kpLD5d393ZHwodTnn4o9jLyz+TYltzy/k9Pb4akpXcc4cBwDa/s8guky5C6wW0jbvY+sz/8JuKyS8X2d6PDcRn1r+2O2Q9NV3fPfKh2C3V2+QCtAc+JkZH/9fMuNzoRRTQyOG1XfOZA598CVHlm2k+cg+9J83hTXDnylz3Y6Tb+fS8VOEdGnlWOYd6E+/vz7OF2Ne5MKRFHq/8jBdnxzLrpffJ/tUBp/f+QKFufkA9Hr5f+n21Dh2vPDvaslWUcfXbmXf/E8ZsfJPV10n46dEVg9/BrutECwWBr77FO0fuo2f/rmGI0s3cGTpBse6d274K0dXfFMdQ680Zx5/rwBfBi96mripb3J6xwEsViu+9YJKrFPW3Lis2YjeFNlq7i8+O7sPXExIYdXQ6aWWO/O41+QaOJO/vIyNbo6i7YSBrBkxA1tWLlG/u5vuz9zL9mffcaz/+egXalQTVx5njgNBTRvQPWYCq4fFkHPmPIMWPU27+4ZyYNEX5F/IYtNjr5N54jRefj4MW/Yibe4ZwJFlG6svRAVpDvzMjI//L5nxuVCKmfKUs9jYWOx2OyNHjnT3UKSS/ENqE9K1NQmfFB9ojq/dRq3GIQS3KP0rs3UjI2h2Wy/2vvl/JZY3GdSdjH3HuHCk+J3rA++to+Xo/gAU5dsczYzFasU7wK9Gv0t1als82akZ5a5TmJNffAAHvHy98fb3LTNTaPe2+IfW4cS6iv8gbHVx9vFvdddNnPnuEKd3HADAXlRE3tmLjtuvNjcA/EPrEDV1DDtmLqq6INehIvuAM8p63GtyDSqT/5cZ63dswakdB7Bl5QKQ9PVuWo+9ueoHX0WcOQ40v70PJ9fvIufMeQAOLl5Py7v6AZCx7xiZJ04DUJhXQMa+RIKaNqjSMV8PzYGSzPb4l8Vsz4XyM1M2NGJ8tZqEknPqnOM0AIDM5HRqNQktsZ7F24u+cx9na8yCEusCBDUJJTPpzM/3P3magIZ1sXgV7xZWH2/u+PLPTNi/kNqtGrHnz8uqMFH1CIoI446v5jJh/0LyL2ZzYNG6Uuu0vXcQCcs3OQ74NZGzj3/dyAgK8wsYvHgGd3z5Z/q/8Rv8QmoD5c8NgL5zH2PXy+87XujUNM7WACC4RTij1s/h9s9n0e7BW8vcXlmPe02uQUXyX/bLjGd/TKDxTVEEhNUFoNWYm/ANDsS37s+f4g37eCZ3fDWXG//wYPEbGwZX6riXdKbMmgWE1aXF7X04+dV31Tm8CtEcqDhPevyvh6c8F8rP1NCIR+s27R6Of7adC4eTK3zfogIbq4ZOZ2nUJC4cSabd/UOrYITVKzPpDKuGPMXSqEfw8vOh+YjeJW73DvCj5Z39OLwk1k0jdC2LlxeNb4pia8wCVg2dTnbaWce50+XNjbb3DiYrOZ20zfuqe8gud3bvUZbdMJnVw2KI/dUc2j0wjBajokusU9bj7kk1gLIzpm3Zz763VzH4/RmMXPua49O7yy9gPu75GGtufZrPRj2Hf0hter54v1vGXt18ggIYvPgZ9s5fydkfEtw9HJfRHHCOpz7+VzLbc6EZqKERQ8pKTiegYT3HpylQ/M5TVnJ6ifXCozvR4eHhjN0xn+Er/4RPcABjd8zHL6Q2mcnpBEX8fBnuoKYNyDl1vtS79UUFNo78Z4NhT0Moiy07l2OfbqbVmJtKLG8xKprzB09yoZyLK9QEzj7+WcnppG7ZT3Za8SkIR5d/Q9gNkUD5cyO8X2ea3XojY3fMZ+yO+QDcEfsX6nduWU0Jr83ZGhRk5lBwqfj8/+zUDI59+i0Ne3cosU5Zj3tNr4Gz+S+72tw++N461tz2NGtHziBty36yktMpyMxx/BsAtpw8DixaV6puRlTquBcRVqJm3rX8GfrR85xYt5OfFpT+HbeaRHOg4jzp8XcFoz8Xys/U0Igh5Z69SMbeY7S+u7jJaD6yD1mpGVxKTCux3uejX2D5jY+zvNev+fzO5ym4lMPyXr8m7+xFkjfsoX6XVtRp0xiA9g/eyrGVmwGoFRGKV4Bv8UYsFpqPiiYj/kT1BawCwS3CsXh7AcWn0zUb3ouM+OMl1ml772BDvCPl7OOfuHoLod1a4xMUAECTwTeQ8VMiUP7ciHtiHh/3fIzlvX7N8l6/BmDVoGlk7DtWfSGvwdkaBDSoCxYLUPxiJWJID87uSyyxTlmPe02vgbP5L7va3A5oUBcovoBEt5gJ7J2/EgDfOrVKHANa3tm3VN2M6PjabTQd1tNxilW7B4Zx7NPi4553YPGL2eQNe/jxb5+4cZTO0RyoOE96/CvLk54L5WemvMqZeIYtMQvo/7cn6DJ1DAWZOXz7u78Dxef9n1y/i5Pry/8iny0rly3T3mbQv5/G4mXl/MGTxE19C4B6HZpzwzP3AmCxWji79xg7nn+3agNdh+g5jxIxuAcBDeoydMnzFGTmsKLvb0rUolH/znR4eAT2wiIs3l6kxu3lx9eXO7ZRu3Vj6ndq4WjqajpnHv+s5HR+fGMFI1a/gr3ITnZaBlum/8PNI3cdZ2rQfGQf2j14K3ZbIRZvL46v3sqR//z8RG20x/1Kzh4Dyss47D8vgNWKl483Ccs3cWBh8W+R1WnThOg5k8Fux+LtRcbeo2yvoVc5vMyZ40DmidPsmbuM4auKrwKVtmU/B9//EoCOj4wgrHsbfAL9HKfgJK7Zyo/zVrgt07VoDvzMjI//L5nxuVCKWez2GnzpJhOz5+ZiG1f6NzFqKu9l72Hx93fZ9gqyc/mw9X0u2151mJjwAT6BrqmB2fODaqD85s4PqoHZ84PxamD2/OD6GohzdMqZiIiIiIgYlhoaERERERExLDU0IiIiIiJiWGpoRERERETEsHRRgBrKbrdDXp67h+E8Pz8s/700rCvY7XZsOQbKT/EPcbmqBmbPD6qB8ps7P6gGZs8PxquB2fOD62sgzlFDIyIiIiIihqVTzkRERERExLDU0IiIiIiIiGGpoREREREREcNSQyMiIiIiIoalhkZERERERAxLDY2IiIiIiBiWGhoRERERETEsNTQiIiIiImJYamhERERERMSw1NCIiIiIiIhhqaERERERERHDUkMjIiIiIiKGpYZGREREREQMSw2NiIiIiIgYlhoaERERERExLDU0IiIiIiJiWGpoRERERETEsNTQiIiIiIiIYXm7ewBSNrvdDnl57h6G8/z8sFgsLtuc3W7HlmOg/IB3gOtqYPb8oBoov7nzg2pg9vxgvBq4Or+Is9TQ1FR5edjGPejuUTjNe9l74O/vsu3ZcvL4sPV9LttedZiY8AE+ga6pgdnzg2qg/ObOD6qB2fOD8Wrg6vwiztIpZyIiIiIiYlhqaERERERExLDU0IiIiIiIiGGpoREREREREcNSQyMiIiIiIoalhkZERERERAxLDY2IiIiIiBiWfodGPEp4dCduW/FSiWUFWTlcPJpKwvJviH/3M+yFRW4aXdVTfnPnB9XA7PlBNVB+c+cXc1JDIx7p6Io4kmJ3g8VCQFhd2twzgF4vPUSdtk3YOn2Bu4dX5ZTf3PlBNTB7flANlN/c+cVc1NCIRzq79xhHP4lz/H1w0TruiptH5L2D2T1rCXlnL7pxdFVP+c2dH1QDs+cH1UD5zZ1fzEXfoRFTsOXkcWb3YSxWK7WbN3T3cKqd8ps7P6gGZs8PqoHymzu/eDY1NGIawS2KD+B55zPdPBL3UH5z5wfVwOz5QTVQfnPnF8+lU87EI3kH+OJXP9hx7nC7B4YR0qUVZ3Yf5uLRVHcPr8opv7nzg2pg9vygGii/ufOLuZiioUlPT2fOnDmsWLGCpKQkwsLCGDNmDK+++ipTp05l4cKFvPnmm0yZMsXdQxUX6R4zge4xE0osS1y7je0z3nHTiKqX8ps7P6gGZs8PqoHymzu/mIvHNzTff/89w4cPJy0tjVq1atGxY0dSUlJ44403SEhIICMjA4Bu3bq5d6BVZFP6aYZu3cisjlH8vnX7MtfxXb2MEQ0a8Wnvm6p5dFXn4PvrSVy9FauPN/XaN6PzE6Op1SiEwrx8xzoD3n4SrBY2Tf6rY5lv3SBGb3ydXX9czNEVcWVt2hCU39z5QTUwe35QDZTf3PnFXDz6OzTp6emMGjWKtLQ0pk2bRmpqKrt37yYtLY3Zs2ezdu1adu7cicViISoqyt3DFRe6eDSN1Li9JMfuYd/8lXz94CxCu7UmevZkxzpbZ/yLBje2o+Xofo5lfV6dxOkdBwx/EFd+c+cH1cDs+UE1UH5z5xdz8eiGZurUqSQlJTFlyhTmzp1LcHCw47aYmBi6du2KzWajRYsW1K5d240jlap2ZtdBEpZ/Q8vR/Qjr2Q6A/POZbJn2Nr1fmURAw3o0H9mH8L6d2Pq0512fX/nNnR9UA7PnB9VA+c2dXzybxzY08fHxLF26lNDQUF577bUy1+nRowcAXbt2dSyLi4tjyJAhNGrUCD8/PyIiIhg/fjzx8fHVMm6pOj+8vpwiWyHdp493LEve8D2Jq7dw81tT6TPrEbZMe5u8c5559RflN3d+UA3Mnh9UA+U3d37xXB7b0CxZsoSioiImTpxIUFBQmesEBAQAJRuac+fO0aVLF9544w3Wr1/P7Nmz2b9/P9HR0SQlJVXL2KtCdmEh6Xl5Zf5nFpcS0zi2cjONb46iQe8OjuW7XlpMcMtwkmP3kPT1bjeOsGopv7nzg2pg9vygGii/ufOL5/LYhiY2NhaAgQMHXnWdyw3KlQ3NHXfcweuvv84999zDgAEDmDhxIitWrODChQt88sknVTvoKvTHg/tpvH5lmf+ZyY/zPqGosOS7U7acPDKPn+Zc/Ak3jqx6KL+584NqYPb8oBoov7nzi2fy2KucHT9+HIDmzZuXebvNZmPz5s1AyYamLCEhIQB4e1euXD179iQtLa1C9wmwWvmpW3Sl/r2yTGrWirsbNy3ztuHbNl339iMjI8kpKrru7VzmY7cyk14Vvl/a1v0sajT2qrdfOJzM4ojxV739ekS2jaTA4poamD0/VK4G7swPmgPK7/59ADynBmbPD8Y7Dro6v5hLeHg4u3btqtR9PbahycrKAiAnJ6fM25cuXUp6ejrBwcG0bNmy1O2FhYUUFRVx/PhxZsyYQXh4OOPGjavUWNLS0khOTq7QfQK9vKBbpf65MrUJCmJwWEPXbfAXUlJSyC4sdNn2fC1eUHXDrRIpqSnk211TA7PnB9VA+c2dH1QDs+cH49XA1flFnOWxDU14eDjnzp1j9+7dREeX/KQjNTWV6dOnAxAVFYXFYil1/wEDBjg+wWnTpg2xsbGEhYVVeiwVFWA11tmAjRs3dvknNBjsTZ7GjRq79J1JM+cH1UD5zZ0fVAOz5wfj1cDV+cVcKvN6+TKL3W63u3AsNcbUqVN58803adq0KV999RWRkZEA7Ny5k/vvv5+jR49SUFDAE088wVtvvVXq/gcPHuT8+fMcO3aMP//5z5w+fZrNmzfTrFmzahm/PTcX27gHr3s71fXDmt7L3sPi71/p+/9SQXYuH7a+z2Xbqw4TEz7AJ9A1NTB7flANlN/c+UE1MHt+MF4NXJ1fxFnG+higAmJiYggJCeHkyZN06tSJLl260LZtW3r16kWrVq0YNGgQcPXvz7Rr147evXszYcIEvv76ay5dusScOXOqM4KIiIiIiFyDxzY0ERERxMXFMXLkSPz9/UlMTKR+/fosWLCAtWvXcujQIeDaFwQAqFu3Lm3atOHIkSNVPWwREREREakAj/0ODUCHDh1Ys2ZNqeWZmZkkJiZitVrp3LnzNbdz+vRpDh48SO/evatimCIiIiIiUkke3dBczf79+7Hb7URGRhIYGFjitvvuu482bdrQrVs36taty+HDh3n99dfx9vbmySefdNOIK29AaAPyR5V/dbZr3S4iIiIiUlOZsqHZu3cvUPbpZn369GHx4sXMmzeP3NxcmjZtysCBA3n22Wev+ps2IiIiIiLiHmpofmHKlClMmTKluocklRDcMpyb5v0Gv/rBFFzK5tvfvsX5Q0kl1mkzfiAdJ41w/B3YOIRT2+LZ8PCfAajVJJQ+r06idqtG2IuKOPDeeg4s/JzGt3Sl53M/X1nGP7QOOWfOs3pYTPWEc4Ir8nd6/A7ajLsFi9XChYQUNv/u7+RfzAbgodTlnIs/jr2w+BKc255fyOnt8dWUrmJ6vfwrmt3ak6CmDVg15Cky9ieWWiesRyTRsx4BwOLjzekd8Wx/fiFF+bZr1qmmcmYOXOnWj2cS0qUVH7X/+QqKEUN6cOPMB7BYrZw7cIJvf/sWBZk5BDVtwC3vTMNqtWLx9uLC4WS2TP8H+ReyqiOaU7QPlOTMfnClX84H70B/Br77FCFRrbB6eZWYJzWVM3MgPLoTQz58losJKY5la0c9R2FuvtP7fv+/PUGb8QP5qN0DjvlR0zj7+Lf9n0F0mXIXWC2kbd7H1mf+hd1WSHi/zvR4biI+tfyx2yHpq+/47pUPwTMvhiseRg2NGFbfOZM59MGXHFm2keYj+9B/3hTWDH+mxDpHlm7gyNINjr/v3PBXjq74xvH3wIXT2fvmpxxfsxUoblwAUjb+wKqNPzjWG7x4Bmmb91VlnAq73vyNbo6i7YSBrBkxA1tWLlG/u5vuz9zL9mffcaz/+egXauyT95WOr93KvvmfMmLln666TsZPiawe/gx2WyFYLAx89ynaP3QbP/1zzTXnSU3lzBy4rOPk27l0/BQhXVo5lnkH+tPvr4/zxZgXuXAkhd6vPEzXJ8ey6+X3yT6Vwed3vkBhbj4AvV7+X7o9NY4dL/y7WrI5Q/tASc7sB5eVNR+KbDb2vvUp+eczue2Tl6pyqC7j7D5wMSGFVUOnl1ruzL7fbERvimw1/8cinXn8g5o2oHvMBFYPiyHnzHkGLXqadvcN5cCiL8i/kMWmx14n88RpvPx8GLbsRdrcM4AjyzZWXwiRSvLYq5yVJzY2FrvdzsiRI909FKkk/5DahHRtTcInxU88x9duo1bjEIJbXP1HmUK7t8U/tA4n1u0CoNFNXSjKszmaGYDc9Aul7hfQsB6N+ncmYfkmF6eoPFfkr9+xBad2HMCWlQtA0te7aT325qoffBU4tS2e7NSMctcpzMkvbmYAL19vvP19y3zn8Zd1qqkqMgfqRkbQ7LZe7H3z/0osbzKoOxn7jnHhSPE71wfeW0fL0f0BKMq3OZoZi9WKd4BfjXqnVvtAac7sB3D1+VCUbyNt874a9SlceSozB8pT1r7vH1qHqKlj2DFzkSuGXKWcefyb396Hk+t3kXPmPAAHF6+n5V39AMjYd4zME6cBKMwrIGNfIkFNG1TpmEVcxZQNjRhfrSah5Jw65zgVBCAzOZ1aTUKvep+29w4iYfkmx4vaupFNyT17kQFvP8mo9X9m4MLpBDUrffBuM34gSbF7yD170fVBKskV+c/+mEDjm6IICKsLQKsxN+EbHIhv3SDHfYZ9PJM7vprLjX94sPgFrcEFRYRxx1dzmbB/IfkXszmwaF2pdX5Zp5rK2Tlg8fai79zH2RqzoMS6AEFNQslMOvPz/U+eJqBhXSxexU8NVh9v7vjyz0zYv5DarRqx58/LqjBRxWgfqJzy5oPRVGQOBLcIZ9T6Odz++SzaPXhrmdsra9/vO/cxdr38vqPpNbpS+3zSmTLrFRBWlxa39+HkV99V5/BEKk0NjZiCd4AfLe/sx+ElsY5lFm8rjfp35ofXP2b1sOmkbPyBW/45rdR9204YyOGPvq7O4bpcWfnTtuxn39urGPz+DEaufY28/zZsl5/MP+75GGtufZrPRj2Hf0hter54v1vG7kqZSWdYNeQplkY9gpefD81HlLwUe1l1Mrpu0+7h+GfbuXA4ucL3LSqwsWrodJZGTeLCkWTa3T+0CkZYPbQPFLue+WBUZ/ceZdkNk1k9LIbYX82h3QPDaDEqusQ6Zc2PtvcOJis5vcadblzVfIICGLz4GfbOX8nZHxLcPRwRp6ihEUPKSk4noGE9xzvJUPzOU1ZyepnrtxgVzfmDJ7lwxZdFs5LSObvvmOMLpAkfbyKkS0ss3l6OdcKjO+Hl50vKFd+nqQlckR/g4HvrWHPb06wdOYO0LfvJSk6nIDPH8W8A2HLyOLBoHQ17d6iiNNXPlp3LsU8302rMTSWWX61ONZGzcyA8uhMdHh7O2B3zGb7yT/gEBzB2x3z8QmqTmZxOUETYz/dv2oCcU+dLvXNfVGDjyH821KjTsbQPVE5588FonJ0DBZk5FFwq/h5UdmoGxz79ttRjWdb8CO/XmWa33sjYHfMZu2M+AHfE/oX6nVtWVaQqV2qfjwgrUS/vWv4M/eh5TqzbyU8LSv+On0hNpYZGDCn37EUy9h6j9d3FL7Caj+xDVmoGlxLTyly/7b2DS73rnhy7h1qNQggMrw9Ak8E3cP5wconTDdreO4gjyzZgL6pZp2a4Ij9AQIO6AHgF+NItZgJ7568EwLdOLbwCfItXslhoeWdfzu5LdHmO6hTcItzRrFp9vGk2vBcZ8cdLrHO1OtVEzs6Bz0e/wPIbH2d5r1/z+Z3PU3Aph+W9fk3e2Yskb9hD/S6tqNOmMQDtH7yVYys3A1ArIrTEHGg+KpqM+BPVF/AatA9UTnnzwWicnQMBDeqCxQIUv2CPGNKj1GNZ1vyIe2IeH/d8jOW9fs3yXr8GYNWgaWTsO1Y1garB8bXbaDqsp+M0y3YPDOPYp8X7vHdgcTOTvGEPP/7tEzeOUqTiTHmVM/EMW2IW0P9vT9Bl6hgKMnP49nd/B4rPeT65fhcn1xd/sbN268bU79TC8ULtMltOHluf/idD3p8BFgv5l7LZ9Njrjtt9ggNpNqI3Kwf+vvpCVcD15gcY9p8XwGrFy8ebhOWbOLDwcwDqtGlC9JzJYLdj8fYiY+9Rttegq1v9UvScR4kY3IOABnUZuuR5CjJzWNH3NyVq0ah/Zzo8PAJ7YREWby9S4/by4+vLHdsor041lbNz4GpsWblsmfY2g/79NBYvK+cPniRu6lsA1OvQnBueuRcAi9XC2b3H2PH8u1UbqIK0D5TkzH5wLXd8/Rf8Q2rjExzAPd8tIG3LPuJ+82Y1jL5ynJkDzUf2od2Dt2K3FWLx9uL46q0c+c/PzYsR9/2yOPP4Z544zZ65yxi+qvhKaGlb9nPw/S8B6PjICMK6t8En0M9xOm7imq38OG+F2zKJOMtit9egy9aIgz03F9u4mv8bAJd5L3sPi7+/y7ZXkJ3Lh63vu/aKNcjEhA/wCXRNDcyeH1QD5Td3flANzJ4fjFcDV+cXcZZOORMREREREcNSQyMiIiIiIoalhkZERERERAxLDY2IiIiIiBiWGhoRERERETEsXeWshrLb7ZCX5+5hOM/PD8t/r/PvCna7HVuOgfJT/EvTrqqB2fODaqD85s4PqoHZ84PxauDq/CLOUkMjIiIiIiKGpVPORERERETEsNTQiIiIiIiIYamhERERERERw1JDIyIiIiIihqWGRkREREREDEsNjYiIiIiIGJYaGhERERERMSw1NCIiIiIiYlhqaERERERExLDU0IiIiIiIiGGpoREREREREcNSQyMiIiIiIoalhkZERERERAxLDY2IiIiIiBiWGhoRERERETEsNTQiIiIiImJYamhERERERMSwvN09ACmb3W6HvDx3D8N5fn5YLBaXbc5ut2PLMVB+wDvAdTUwe35QDZTf3PlBNTB7fjBeDcyeH1xfA3GOGpqaKi8P27gH3T0Kp3kvew/8/V22PVtOHh+2vs9l26sOExM+wCfQNTUwe35QDZTf3PlBNTB7fjBeDcyeH1xfA3GOTjkTERERERHDUkMjIiIiIiKGpYZGREREREQMSw2NiIiIiIgYlhoaERERERExLDU0IiIiIiJiWGpoRERERETEsNTQiIiIiIiIYemHNcWjhEd34rYVL5VYVpCVw8WjqSQs/4b4dz/DXljkptFVPeU3d35QDcyeH1QD5Td3flANzEgNjXikoyviSIrdDRYLAWF1aXPPAHq99BB12jZh6/QF7h5elVN+c+cH1cDs+UE1UH5z5wfVwEzU0IhHOrv3GEc/iXP8fXDROu6Km0fkvYPZPWsJeWcvunF0VU/5zZ0fVAOz5wfVQPnNnR9UAzPRd2jEFGw5eZzZfRiL1Urt5g3dPZxqp/zmzg+qgdnzg2qg/ObOD6qBJ1NDI6YR3KL44JV3PtPNI3EP5Td3flANzJ4fVAPlN3d+UA08lU45E4/kHeCLX/1gx3mz7R4YRkiXVpzZfZiLR1PdPbwqp/zmzg+qgdnzg2qg/ObOD6qBmXh8Q5Oens6cOXNYsWIFSUlJhIWFMWbMGF599VWmTp3KwoULefPNN5kyZYq7h1olNqWfZujWjczqGMXvW7cvcx3f1csY0aARn/a+qZpHV3W6x0yge8yEEssS125j+4x33DSi6qX85s4PqoHZ84NqoPzmzg+qgZl4dEPz/fffM3z4cNLS0qhVqxYdO3YkJSWFN954g4SEBDIyMgDo1q2bewcqLnfw/fUkrt6K1cebeu2b0fmJ0dRqFEJhXr5jnQFvPwlWC5sm/9WxzLduEKM3vs6uPy7m6Iq4sjZtCMpv7vygGpg9P6gGym/u/KAamInHfocmPT2dUaNGkZaWxrRp00hNTWX37t2kpaUxe/Zs1q5dy86dO7FYLERFRbl7uOJiF4+mkRq3l+TYPeybv5KvH5xFaLfWRM+e7Fhn64x/0eDGdrQc3c+xrM+rkzi944DhD2DKb+78oBqYPT+oBspv7vygGpiJxzY0U6dOJSkpiSlTpjB37lyCg4Mdt8XExNC1a1dsNhstWrSgdu3abhypVIczuw6SsPwbWo7uR1jPdgDkn89ky7S36f3KJAIa1qP5yD6E9+3E1qc979r0ym/u/KAamD0/qAbKb+78oBp4Mo9saOLj41m6dCmhoaG89tprZa7To0cPALp27XrV7QwfPhyLxcIf/vCHqhhmtcouLCQ9L6/M/8zih9eXU2QrpPv08Y5lyRu+J3H1Fm5+ayp9Zj3Clmlvk3fOM698ovzmzg+qgdnzg2qg/ObOD6qBp/LIhmbJkiUUFRUxceJEgoKCylwnICAAuHpDs2zZMr7//vuqGmK1++PB/TRev7LM/8ziUmIax1ZupvHNUTTo3cGxfNdLiwluGU5y7B6Svt7txhFWLeU3d35QDcyeH1QD5Td3flANPJVHXhQgNjYWgIEDB151naSkJKDshubixYv87ne/Y+7cudx3333XPZ6ePXuSlpZWofsEWK381C36uv/tyyY1a8XdjZuWedvwbZuue/uRkZHkFBVd93Yu87FbmUkvl23vsh/nfULL0f3oPn0868b+ASj+oa3M46c5F3/iurYd2TaSAotramD2/FA1NajK/KA5oPw1fx8A49TA7PnBeMdBI+QHY9XATMLDw9m1a1el7uuRDc3x48cBaN68eZm322w2Nm/eDJTd0Dz33HNERkYyceJElzQ0aWlpJCcnV+g+gV5e0O26/2mHNkFBDA6rul/FTUlJIbuw0GXb87V4QSWGm7Z1P4sajb3q7RcOJ7M4YvxVb78eKakp5NtdUwOz54fK1cCd+UFzQPndvw+A59TA7PnBeMfBmpAfPKsG4hyPbGiysrIAyMnJKfP2pUuXkp6eTnBwMC1btixx265du/jXv/7Fd99957LxhIeHV/g+AVZjnQ3YuHFjl39Cg8He4GjcqLFL35k0c35QDZTf3PlBNTB7fjBeDcyeH1xfAzOpzOvlyzyyoQkPD+fcuXPs3r2b6OiSp22lpqYyffp0AKKiorBYLI7bCgsLmTx5MlOmTKFTp04uG09lPj6z5+ZiG/egy8ZQ1Q4dOoTF399l2yvIzuXD1tf/6Vh1OnT4ED6BrqmB2fODaqD85s4PqoHZ84PxamD2/OD6GohzPLKhGTJkCPHx8cyePZuhQ4cSGRkJwM6dO7n//vtJT08HSv+g5ltvvcWpU6c84qpmUjFf3D3T3UNwK+U3d35QDcyeH1QD5Td3flANjMxY5zU5KSYmhpCQEE6ePEmnTp3o0qULbdu2pVevXrRq1YpBgwYBJb8/k56ezgsvvMCLL76IzWbj/PnznD9/HoDc3FzOnz9PkQtPqRIRERERkevnkQ1NREQEcXFxjBw5En9/fxITE6lfvz4LFixg7dq1HDp0CCjZ0CQlJXHp0iUmT55MvXr1HP8BzJ49m3r16nHixPVfBUlERERERFzHI085A+jQoQNr1qwptTwzM5PExESsViudO3d2LG/Tpg0bNmwotf7AgQN58MEHeeihh67ry0ruMiC0AfmjxpW7zrVuFxERERGpqTy2obma/fv3Y7fbiYyMJDAw0LE8KCiIW265pcz7tGjR4qq3iYiIiIiI+3jkKWfl2bt3L1D278+IiIiIiIixmO4Tmoo2NHa7vSqHI9chuGU4N837DX71gym4lM23v32L84eSrrr+rR/PJKRLKz5qX3w57KCIMMZse4vzV/wq8IZJc7l0/BTegf4MfPcpQqJaYfXyctynJnEqv8VCzxfup8nAbli9vTi14wDbnvkXRQW2cvPXbd+MPq9NIiC0DkW2QtL3HGHbs+9QmJtfzSmvzpn8bcYPpOOkEY6/AxuHcGpbPBse/jMAEUN6cOPMB7BYrZw7cIJvf/sWBZk5NL6lKz2f+/lSof6hdcg5c57Vw2KqJ5yTnJ0DN858gCYDu1FkKyLv3CW2PPUPLiWmlfs4ewf4cevyP+Dl5wNAzulzbI35J5lJZ9yQ9Np6vfwrmt3ak6CmDVg15Cky9ieWu/4vjwdGeczL42wN2v7PILpMuQusFtI272PrM//CbiskvF9nejw3EZ9a/tjtkPTVd3z3yodQg58HnX0eqNu+GX1eeRj/sDoA7J61hBOfbS+xzi/nxJX6/+0J2owfyEftHiD/YnbVhLlOzjz+5T3GZtoHrjYfwqM7MeTDZ7mYkOJYd+2o52rUc5+UTQ2NGFbfOZM59MGXHFm2keYj+9B/3hTWDH+mzHU7Tr6dS8dPEdKlVYnltsxcVg2dXmr9IpuNvW99Sv75TG775KUqGf/1ciZ/23sHE9KlJauHxVBUYKPv3MfoMGkE+99eBVw9f2FePtuffZdz8cexWK3cPP+3dHliNN//ZVm1ZHOGM/mPLN3AkaU/fzfuzg1/5eiKbwDwDvSn318f54sxL3LhSAq9X3mYrk+OZdfL75Oy8QdWbfzBcb/Bi2eQtnlf9QSrAGdq0OzWnjS4sT0rBz+F3VZI1O/u5oYZ97Jp8l/LfZxtufmsG/cStqxcADo+eju9Xv4Vsf872x1Rr+n42q3sm/8pI1b+6ZrrlnU8MMpjXh5nahDUtAHdYyawelgMOWfOM2jR07S7bygHFn1B/oUsNj32OpknTuPl58OwZS/S5p4BHFm2sfpCVJAz+4BXgC+DFz1N3NQ3Ob3jABarFd96QSXWudpzBECzEb0pstX8X3535vEv7zE2yz5wrflwMSGlzOdFqdlMd8pZbGwsdrudkSNHunsoch38Q2oT0rU1CZ8Uvzg9vnYbtRqHENyi9IUb6kZG0Oy2Xux98/+c3n5Rvo20zfvIv5DlsjG7krP563dsTkrcXooKbAAkxe6h9dgB19z+pWNpnIs/DoC9qIj07xMIahrm4hSVV5HH/7LQ7m3xD63DiXXFP3TbZFB3MvYd48KR4nfiDry3jpaj+5e6X0DDejTq35mE5ZuqIEnlOVsDux28fL0dn7T4BAWQnXoWuMbjbLc7mpnL94Oa+079qW3xZKdmXHM9Z44HNfUxvxZnatD89j6cXL+LnDPnATi4eD0t7+oHQMa+Y2SeOA1AYV4BGfsSCWraoErHfD2c3Qda3XUTZ747xOkdB4DiuZ539qLj9vLmhH9oHaKmjmHHzEVVF8RFnHn8nX2MPXkfuNZ8EGMyXUMjnqFWk1ByTp3DXvjzbwNlJqdTq0loifUs3l70nfs4W2MWlFj3Mu9AP27/fBaj1s+h65NjsViNsUs4m//sj0dpNqwnPkEBWLy9aDmqb4nGxJn83gF+RE4czIl1O6suUAU5m/9Kbe8dRMLyTdj/+05rUJPQEqdPZZ48TUDDuli8StagzfiBJMXuIbeGPeE5W4OT63eRtnU/4398h/E//ItGN3Vhz5ylpbZ3tcd52NIXGf/jO7QYFc22Ge9UTZhqcq3jwWU19TF3hVLzPulMmftNQFhdWtzeh5NffVedw6sQZ/eBupERFOYXMHjxDO748s/0f+M3+IXUBq49J/rOfYxdL79forn3FOU9xp68D5Q3HwCCW4Qzav0cbv98Fu0evNWNI5WKMMarN5FK6jbtHo5/tp0Lh5NL3ZZ9+hzLuj/KmuHPsG7cH2nYuwOdHhvlhlFWnSNLN5C84XtuW/FHhq/4IxeOpjhe0DuT3+rjzYAFvyd54w+c+HyHOyK4hHeAHy3v7MfhJbEVvm/bCQM5/NHXVTCq6hHatTV12zXj4+6PsrTbo6TG7SV6zqMl1invcV4//o8s7foIx1ZtIeq3Y6pz6C5X3vHgSkZ/zK+XT1AAgxc/w975Kzn7Q4K7h3PdLF5eNL4piq0xC1g1dDrZaWeJnvUIUP6caHvvYLKS0w132pUzrvUYe/I+UN58OLv3KMtumMzqYTHE/moO7R4YRotR0W4esThDDY0YUlZyOgEN65V4Nz2oSShZyekl1guP7kSHh4czdsd8hq/8Ez7BAYzdMR+/kNoU5dsc7z7ln8/k8H9iadi7Q7XmqCxn8wN8/5dlrB42nc/ueI4Lh5IcX5i9Vn6LtxcDFjxJzulz7HhhYRUnqpiK5AdoMSqa8wdPcuGKLwtnJqcTFPHzp1VBTRuQc+p8iXdpw6M74eXnS8oV55XXFM7WoPU9A0jdvK/4i8x2OwnLNhLet5PjdqceZ7udwx985dTpijVZeceDK9epqY+5K5Sa9xFhJeaMdy1/hn70PCfW7eSnBaV/y60mcXYfyEpOJ3XLfrLTik9FOrr8G8JuiATKnxPh/TrT7NYbGbtjPmN3zAfgjti/UL9zy2pKWDWu9Rh7+j5Q3nwoyMyh4FLxRR+yUzM49um3hnldYHZqaMSQcs9eJGPvMVrffTMAzUf2ISs1g0uJaSXW+3z0Cyy/8XGW9/o1n9/5PAWXclje69fknb2If0htLN5eAFh9vWk+og9n9x2r9iyV4Wx+Lz8ffOvUAsCvfjBdpoxm798/BSg3v8XLyoB/PEneuUy2PPWPakrlPGfzX9b23sGlPp1J3rCH+l1aUadNYwDaP3grx1Zu/sX9BnFk2QbsRVc/PcldnK3BpROnaNSvM1af4mvARAztyfmDJ4HyH+eAsLqOuQPQ4s6+ZPx0vCojVbnyjgeX1eTH3BWOr91G02E9CQirC0C7B4Zx7NPiee8dWPxCN3nDHn782yduHKVznN0HEldvIbRb6/9+DwyaDL6BjJ8SgfLnRNwT8/i452Ms7/Vrlvf6NQCrBk0jwyDPE2Vx5jH29H2gvPkQ0KAuWCxAceMXMaQHZ/clumegUiGmu8qZeI4tMQvo/7cn6DJ1DAWZOXz7u78Dxec8n1y/i5Prd5V7/wa9O9B9+njshUVYvL1I+3YvP877+QB/x9d/wT+kNj7BAdzz3QLStuwj7jdvVmmminAmv09wILeteAl7kR2L1UL8O5+R9GXx+dLl5W95Zz9ajOxDxv5E7viy+BLHp3YeZPuzNec7FM4+/rVbN6Z+pxalmhVbVi5bpr3NoH8/jcXLyvmDJ4mb+pbjdp/gQJqN6M3Kgb+vvlAV5EwNDvz7C+q2jeCOr+dSVFBIzpnzbI1ZAJT/ONdqEkr0nMlYvKxYLHDp+CniprzhtqzXEj3nUSIG9yCgQV2GLnmegswcVvT9jdPHAzDGY14eZ2qQeeI0e+YuY/iq4qtApW3Zz8H3vwSg4yMjCOveBp9AP5qP6A1A4pqt/DhvhdsyXYsz+0BWcjo/vrGCEatfwV5kJzstgy3Ta94bNdfLmcf/Wo+xGfaB8uZD85F9aPfgrdhthVi8vTi+eitH/lPxU5Wl+lns+qGVGsmem4ttXM377ZOr8V72HhZ/f5dtryA7lw9b33ftFWuQiQkf4BPomhqYPT+oBspv7vygGpg9PxivBmbPD66vgThHp5yJiIiIiIhhqaERERERERHDUkMjIiIiIiKGpYZGREREREQMSxcFqKHsdjvk5bl7GM7z88Py30sduoLdbseWY6D8FP94o6tqYPb8oBoov7nzg2pg9vxgvBqYPT+4vgbiHDU0IiIiIiJiWDrlTEREREREDEsNjYiIiIiIGJYaGhERERERMSw1NCIiIiIiYlhqaERERERExLDU0IiIiIiIiGGpoREREREREcNSQyMiIiIiIoalhkZERERERAxLDY2IiIiIiBiWGhoRERERETEsNTQiIiIiImJYamhERERERMSw1NCIiIiIiIhhqaERERERERHDUkMjIiIiIiKGpYZGREREREQMSw2NiIiIiIgYlre7ByBls9vtkJfn7mE4z88Pi8Xiss3Z7XZsOQbKD3gHuK4GZs8PqoHymzs/qAZmzw/Gq4HZ84P2AVfPAaf/3Wr/F8U5eXnYxj3o7lE4zXvZe+Dv77Lt2XLy+LD1fS7bXnWYmPABPoGuqYHZ84NqoPzmzg+qgdnzg/FqYPb8oH3A1XPAWTrlTEREREREDEsNjYiIiIiIGJYaGhERERERMSw1NCIiIiIiYlhqaERERERExLDU0IiIiIiIiGGpoREREREREcPS79CIRwmP7sRtK14qsawgK4eLR1NJWP4N8e9+hr2wyE2jq3rKb+78oBqYPT+oBspv7vygGpgxvxoa8UhHV8SRFLsbLBYCwurS5p4B9HrpIeq0bcLW6QvcPbwqp/zmzg+qgdnzg2qg/ObOD6qBmfKroRGPdHbvMY5+Euf4++CiddwVN4/Ieweze9YS8s5edOPoqp7ymzs/qAZmzw+qgfKbOz+oBmbKr+/QiCnYcvI4s/swFquV2s0buns41U75zZ0fVAOz5wfVQPnNnR9UA0/Or4ZGTCO4RfHOm3c+080jcQ/lN3d+UA3Mnh9UA+U3d35QDTw1v045E4/kHeCLX/1gx3mj7R4YRkiXVpzZfZiLR1PdPbwqp/zmzg+qgdnzg2qg/ObOD6qBmfKboqFJT09nzpw5rFixgqSkJMLCwhgzZgyvvvoqU6dOZeHChbz55ptMmTLF3UN1uU3ppxm6dSOzOkbx+9bty1zHd/UyRjRoxKe9b6rm0VWd7jET6B4zocSyxLXb2D7jHTeNqHopv7nzg2pg9vygGii/ufODamCm/B7f0Hz//fcMHz6ctLQ0atWqRceOHUlJSeGNN94gISGBjIwMALp16+begYpLHXx/PYmrt2L18aZe+2Z0fmI0tRqFUJiX71hnwNtPgtXCpsl/dSzzrRvE6I2vs+uPizm6Iq6sTRuC8ps7P6gGZs8PqoHymzs/qAZmyu/R36FJT09n1KhRpKWlMW3aNFJTU9m9ezdpaWnMnj2btWvXsnPnTiwWC1FRUe4errjQxaNppMbtJTl2D/vmr+TrB2cR2q010bMnO9bZOuNfNLixHS1H93Ms6/PqJE7vOGCYHfhqlN/c+UE1MHt+UA2U39z5QTUwU36PbmimTp1KUlISU6ZMYe7cuQQHBztui4mJoWvXrthsNlq0aEHt2rXdOFKpamd2HSRh+Te0HN2PsJ7tAMg/n8mWaW/T+5VJBDSsR/ORfQjv24mtT3vWtdlB+c2eH1QDs+cH1UD5zZ0fVANPzu+xDU18fDxLly4lNDSU1157rcx1evToAUDXrl0dyzZu3IjFYin1n9FPScsuLCQ9L6/M/8zih9eXU2QrpPv08Y5lyRu+J3H1Fm5+ayp9Zj3Clmlvk3fOs678cZnymzs/qAZmzw+qgfKbOz+oBp6a32MbmiVLllBUVMTEiRMJCgoqc52AgACgZENz2d///ne2bt3q+O/999+v0vFWtT8e3E/j9SvL/M8sLiWmcWzlZhrfHEWD3h0cy3e9tJjgluEkx+4h6evdbhxh1VJ+c+cH1cDs+UE1UH5z5wfVwFPze+xFAWJjYwEYOHDgVddJSkoCym5oOnbsSJ8+fVwylp49e5KWllah+wRYrfzULdol/z7ApGatuLtx0zJvG75t03VvPzIykpyiouvezmU+disz6eWy7V3247xPaDm6H92nj2fd2D8AxT80lXn8NOfiT1zXtiPbRlJgcU0NzJ4fqqYGVZkfNAeUv+bvA2CcGpg9PxjvOGiE/GCcGpgtf3h4OLt27arUfT22oTl+/DgAzZs3L/N2m83G5s2bgbIbGldKS0sjOTm5QvcJ9PKCbq4bQ5ugIAaHVd2vwqakpJBdWOiy7flavKASw03bup9FjcZe9fYLh5NZHDH+qrdfj5TUFPLtrqmB2fND5WrgzvygOaD87t8HwHNqYPb8YLzjYE3ID55TA7PnrwiPbWiysrIAyMnJKfP2pUuXkp6eTnBwMC1btix1+/jx40lPTyckJIQ77riDWbNmERoaWqmxhIeHV/g+AVZjnQ3YuHFjl39Cg+s2Vy0aN2rs0ndlzJwfVAPlN3d+UA3Mnh+MVwOz5wftA9eTvzKvly/z2IYmPDycc+fOsXv3bqKjS566lZqayvTp0wGIiorCYrE4bqtTpw7Tp0/n5ptvJigoiK1bt/Laa6+xbds2du3ahb+/f4XHUpmPz+y5udjGPVjh+7nLoUOHsFSiNldTkJ3Lh63vc9n2qsOhw4fwCXRNDcyeH1QD5Td3flANzJ4fjFcDs+cH7QOungPO8tiGZsiQIcTHxzN79myGDh1KZGQkADt37uT+++8nPT0dKP2Dmt27d6d79+6Ov2+55RY6d+7MHXfcwZIlS/jf//3fassg1eeLu2e6ewhupfzmzg+qgdnzg2qg/ObOD6qBkfMb67ymCoiJiSEkJISTJ0/SqVMnunTpQtu2benVqxetWrVi0KBBgHPfn7n99tupVatWpb+oJCIiIiIiVcNjG5qIiAji4uIYOXIk/v7+JCYmUr9+fRYsWMDatWs5dOgQULELAlx5apqIiIiIiLifx55yBtChQwfWrFlTanlmZiaJiYlYrVY6d+58ze2sWrWKrKwsevVy/aXzqtqA0AbkjxpX7jrXul1EREREpKby6Ibmavbv34/dbicyMpLAwMASt9133320atWKG264wXFRgDlz5tCtWzcmTJjgphGLiIiIiEhZTNnQ7N27Fyj7dLNOnTrx0Ucf8be//Y2cnBwiIiJ45JFHmDlzJr6+vtU9VBERERERKYcaml+YMWMGM2bMqO4hSSUEtwznpnm/wa9+MAWXsvn2t29x/lBSiXXajB9Ix0kjHH8HNg7h1LZ4Njz8ZwAihvTgxpkPYLFaOXfgBN/+9i0KMnNofEtXej7386US/UPrkHPmPKuHxVRPuArq9fKvaHZrT4KaNmDVkKfI2J9Yap2wHpFEz3oEAIuPN6d3xLP9+YUU5duuWaeazpn8V7r145mEdGnFR+2LL43uHejPwHefIiSqFVYvL8fyms6ZfQCgbvtm9HnlYfzD6gCwe9YSTny2vcQ6v6zJlfr/7QnajB/IR+0eIP9idtWEqQRn8pc3769UVv7OT4ymzbgBFOXbKMwrYPvzC0n//kjVB6skp/YDi4UbZz5Ak4HdKLIVkXfuElue+geXEtMIatqAW96ZhtVqxeLtxYXDyWyZ/g/yL2RVexZnmf15wOz5wfnj4GVl7eudHr+DNuNuwWK1cCEhhc2/+7vjWPdQ6nLOxR/HXlj82yrbnl/I6e3xVRuqAsz+PHCZGhoxrL5zJnPogy85smwjzUf2of+8KawZ/kyJdY4s3cCRpRscf9+54a8cXfENUPwitt9fH+eLMS9y4UgKvV95mK5PjmXXy++TsvEHVm38wXG/wYtnkLZ5X/UEq4Tja7eyb/6njFj5p6uuk/FTIquHP4PdVggWCwPffYr2D93GT/9cU26djMCZ/Jd1nHw7l46fIqRLK8eyIpuNvW99Sv75TG775KWqHKpLObMPeAX4MnjR08RNfZPTOw5gsVrxrRdUYp2yanJZsxG9KbJV/68+O8OZ/OXN+8vKyl+/UwvaP3Qrnw54Elt2Lq3uvonerz7M2hE19w0vZ/aDZrf2pMGN7Vk5+CnstkKifnc3N8y4l02T/0r2qQw+v/MFCnPzAej18v/S7alx7Hjh39UVocLM/jxg9vzgXA0uK2tfb3RzFG0nDGTNiBnYsnKJ+t3ddH/mXrY/+45jnc9Hv1AjX8SDngcu89irnJUnNjYWu93OyJEj3T0UqST/kNqEdG1NwifFB+Xja7dRq3EIwS2u/iuzod3b4h9ahxPrii+/3WRQdzL2HePCkRQADry3jpaj+5e6X0DDejTq35mE5ZuqIIlrnNoWT3ZqRrnrFObkF7+oA7x8vfH29wW7vdR6v6yTETiTH6BuZATNbuvF3jf/r8TyonwbaZv31eh3on/J2X2g1V03cea7Q5zecQAAe1EReWcvOm6/Wk2g+B3ZqKlj2DFzUdUFqSRn819r3l8tv91ux+rthXegHwC+tWs5NcfcyZn9wG4vroOXnw8APkEBZKeeBYr3g8vNjMVqxTvAr8xjRE1h9ucBs+eHitXgavt6/Y4tOLXjALasXACSvt5N67E3V/3gXcDszwNXMuUnNGJ8tZqEknPqnOMjYIDM5HRqNQnlUmJamfdpe+8gEpZvcry4CWoSSmbSmZ/vf/I0AQ3rYvGylthum/EDSYrdQ+4VO79RBUWEMWjR0wS3aEjSV7s5sGhdqXV+WSdPYfH2ou/cx9k8bX6Jx9eonN0H6kZGUJhfwODFM6jVqD4Z8SfY+dJ75J29eM2a9J37GLteft/xRF+TVOQYcLV5X17+cz8dZ/8/1zB2x3zyzmVSmF/AF3e9WPXBqtjJ9bto1K8T4398B1tmDllpGXxx188/pmf18eb2z16jVkQY5+KP8/WDs9042vKZ/XnA7PnB+RqUt6+f/TGB9g/dSkBYXXLOnKfVmJvwDQ7Et24Q+eczARj28UysXl6kfruXPbP/gy0nr3oCXoPZnweuZMpPaMR8vAP8aHlnPw4via3wfdtOGMjhj76uglFVv8ykM6wa8hRLox7By8+H5iN6l7j9eupU03Wbdg/HP9vOhcPJ7h5KtbJ4edH4pii2xixg1dDpZKeddXynpLyatL13MFnJ6TXyFJOKutq8Ly9/UNMGNB/Rm0+ip/Bxj8n89M81DFjwZHUP3eVCu7ambrtmfNz9UZZ2e5TUuL1Ez3nUcXtRgY1VQ6ezNGoSF44k0+7+oW4crWuZ/XnAzPnL29fTtuxn39urGPz+DEaufc3xycXlpu/jno+x5tan+WzUc/iH1Kbni/dX69hdwQzPA2poxJCyktMJaFgPi9fPUzioSShZyellrt9iVDTnD57kwhVflMtMTicoIuzn+zdtQM6p8yXeoQiP7oSXny8pV5xH7Als2bkc+3QzrcbcVGJ5WXXyFOHRnejw8HDG7pjP8JV/wic4gLE75uMXUtvdQ6sUZ/eBrOR0UrfsJzut+FSko8u/IeyGSKD8moT360yzW29k7I75jN0xH4A7Yv9C/c4tqylh+Sp6DIDS8768/M1H9uHcgRPknDoHwJH/bKBhrw5YfYx9YkPrewaQunlf8fcB7HYSlm0kvG+nUusVFdg48p8NNfrUG7M/D5g9Pzhfg2sd/w++t441tz3N2pEzSNuyn6zkdAoycxz/BoAtJ48Di9bRsHeHakp3bWZ/HriSsY/MYlq5Zy+SsfcYre++2fFFuKzUjHI+Zh9c6l2p5A176PPaJOq0acyFIym0f/BWjq3c/Iv7DeLIsg3Yi4x/ilJwi3Ayk85gtxVi9fGm2fBeZMQfL7FOWXXyFJ+PfsHx/0ERYdzx1VyW9/q1G0d0fZzdBxJXb6HtvYPwCQqgIDOHJoNvIOOnRKD8msQ9Ma/Edh5KXc6qQdNqzBdjnc1f3rwvL/+lE6doM2Eg3oH+2LJziRjagwtHkikqKHl1NKO5dOIUEYNuYP/bqygqsBExtCfnD54EoFZEKLlnL1KYkw8WC81HRZMRf8LNI746sz8PmD0/OF+Dax3/AxrUJef0ebwCfOkWM4G981cC4FunFoX5BY59ouWdfTm7L7FasjnD7M8DV1JDI4a1JWYB/f/2BF2mjqEgM4dvf/d3oPh8z5Prd3FyffGXHmu3bkz9Ti1KHaRtWblsmfY2g/79NBYvK+cPniRu6luO232CA2k2ojcrB/6++kJVUvScR4kY3IOABnUZuuR5CjJzWNH3NyVq0ah/Zzo8PAJ7YREWby9S4/by4+vLHdu4Wp2MwJn813LH13/BP6Q2PsEB3PPdAtK27CPuN29Ww+grz5l9ICs5nR/fWMGI1a9gL7KTnZbBlun/cPPIXcOZ/Nea91dz4rPthHZrzah1synMK8CWncc3v3hyr2mc2Q8O/PsL6raN4I6v51JUUEjOmfNsjVkAQL0OzbnhmXsBsFgtnN17jB3Pv+vOSNdk9ucBs+cH52tQnmH/eQGsVrx8vElYvokDCz8HoE6bJkTPmQx2OxZvLzL2HmV7Dbvqn9mfBy6z2O01+BImJmbPzcU2zhi/hQHgvew9LP7+LtteQXYuH7a+79or1iATEz7AJ9A1NTB7flANlN/c+UE1MHt+MF4NzJ4ftA+4eg44S9+hERERERERw1JDIyIiIiIihqWGRkREREREDEsNjYiIiIiIGJYuClBD2e12yKsZv0TrFD8/LBaLyzZnt9trzC/xOss7wHU1MHt+UA2U39z5QTUwe34wXg3Mnh+0D7h6DjhLDY2IiIiIiBiWTjkTERERERHDUkMjIiIiIiKGpYZGREREREQMSw2NiIiIiIgYlhoaERERERExLDU0IiIiIiJiWGpoRERERETEsNTQiIiIiIiIYamhERERERERw1JDIyIiIiIihqWGRkREREREDEsNjYiIiIiIGJYaGhERERERMSw1NCIiIiIiYlhqaERERERExLDU0IiIiIiIiGGpoREREREREcNSQyMiIiIiIobl7e4BSNnsdjvk5bl7GM7z88Nisbhsc3a7HVuOgfID3gGuq4HZ84NqoPzmzg+qgdnzg/FqYPb8oH3A1XPA6X+32v9FcU5eHrZxD7p7FE7zXvYe+Pu7bHu2nDw+bH2fy7ZXHSYmfIBPoGtqYPb8oBoov7nzg2pg9vxgvBqYPT9oH3D1HHCWTjkTERERERHDUkMjIiIiIiKGpYZGREREREQMSw2NiIiIiIgYlhoaERERERExLDU0IiIiIiJiWGpoRERERETEsNTQiIiIiIiIYemHNcWjhEd34rYVL5VYVpCVw8WjqSQs/4b4dz/DXljkptFVPeU3d35QDcyeH1QD5Td3flANzJhfDY14pKMr4kiK3Q0WCwFhdWlzzwB6vfQQddo2Yev0Be4eXpVTfnPnB9XA7PlBNVB+c+cH1cBM+dXQiEc6u/cYRz+Jc/x9cNE67oqbR+S9g9k9awl5Zy+6cXRVT/nNnR9UA7PnB9VA+c2dH1QDM+XXd2jEFGw5eZzZfRiL1Urt5g3dPZxqp/zmzg+qgdnzg2qg/ObOD6qBJ+dXQyOmEdyieOfNO5/p5pG4h/KbOz+oBmbPD6qB8ps7P6gGnprf4085S09PZ86cOaxYsYKkpCTCwsIYM2YMr776KlOnTmXhwoW8+eabTJkyxd1DFRfyDvDFr36w47zRdg8MI6RLK87sPszFo6nuHl6VU35z5wfVwOz5QTVQfnPnB9XATPk9uqH5/vvvGT58OGlpadSqVYuOHTuSkpLCG2+8QUJCAhkZGQB069bNvQOtQpvSTzN060ZmdYzi963bl7mO7+pljGjQiE9731TNo6s63WMm0D1mQolliWu3sX3GO24aUfVSfnPnB9XA7PlBNVB+c+cH1cBM+T22oUlPT2fUqFGkpaUxbdo0Zs6cSXBwMABz5szh6aefxtvbG4vFQlRUlJtHK6528P31JK7eitXHm3rtm9H5idHUahRCYV6+Y50Bbz8JVgubJv/Vscy3bhCjN77Orj8u5uiKuLI2bQjKb+78oBqYPT+oBspv7vygGpgpv8d+h2bq1KkkJSUxZcoU5s6d62hmAGJiYujatSs2m40WLVpQu3ZtN45UqsLFo2mkxu0lOXYP++av5OsHZxHarTXRsyc71tk64180uLEdLUf3cyzr8+okTu84YJgd+GqU39z5QTUwe35QDZTf3PlBNTBTfo9saOLj41m6dCmhoaG89tprZa7To0cPALp27Vrqtv/7v/+jb9++1KpVizp16tCvXz/2799fpWOWqnVm10ESln9Dy9H9COvZDoD885lsmfY2vV+ZREDDejQf2Yfwvp3Y+rRnXZsdlN/s+UE1MHt+UA2U39z5QTXw5Pwe2dAsWbKEoqIiJk6cSFBQUJnrBAQEAKUbmjfeeINx48bRv39/Vq1axZIlSxgyZAg5OTlVPu6qlF1YSHpeXpn/mcUPry+nyFZI9+njHcuSN3xP4uot3PzWVPrMeoQt094m75xnXfnjMuU3d35QDcyeH1QD5Td3flANPDW/RzY0sbGxAAwcOPCq6yQlJQElG5qEhASmT5/O66+/zpw5cxg8eDAjRozgpZdeomfPnlU76Cr2x4P7abx+ZZn/mcWlxDSOrdxM45ujaNC7g2P5rpcWE9wynOTYPSR9vduNI6xaym/u/KAamD0/qAbKb+78oBp4an6PvCjA8ePHAWjevHmZt9tsNjZv3gyUbGgWLlyIj48PjzzyiEvH07NnT9LS0ip0nwCrlZ+6RbtsDJOateLuxk3LvG34tk3Xvf3IyEhyioquezuX+ditzKSXy7Z32Y/zPqHl6H50nz6edWP/ABT/0FTm8dOciz9xXduObBtJgcU1NTB7fqiaGlRlftAcUP6avw+AcWpg9vxgvOOgEfKDcWpgtvzh4eHs2rWrUvf1yIYmKysL4KqniS1dupT09HSCg4Np2bKlY/mWLVto164dH3zwAX/60584efIkbdu25cUXX+R//ud/Kj2etLQ0kpOTK3SfQC8v6Fbpf7KUNkFBDA6rul+FTUlJIbuw0GXb87V4QSWGm7Z1P4sajb3q7RcOJ7M4YvxVb78eKakp5NtdUwOz54fK1cCd+UFzQPndvw+A59TA7PnBeMfBmpAfPKcGZs9fER7Z0ISHh3Pu3Dl2795NdHTJTzlSU1OZPn06AFFRUVgslhK3JScnM2PGDGbPnk3Tpk159913uffeewkLC2PIkCGVHk9FBViNdTZg48aNXf4JDa7bXLVo3KixS9+VMXN+UA2U39z5QTUwe34wXg3Mnh+0D1xP/sq8Xr7MIxuaIUOGEB8fz+zZsxk6dCiRkZEA7Ny5k/vvv5/09HSg9A9qFhUVkZmZyfvvv8/o0aMBGDx4MD/99BMvv/xypRuaynx8Zs/NxTbuwUr9e+5w6NAhLP7+LtteQXYuH7a+z2Xbqw6HDh/CJ9A1NTB7flANlN/c+UE1MHt+MF4NzJ4ftA+4eg44yyMbmpiYGD766CNOnjxJp06daN++Pbm5uRw5coThw4fTokUL1q1bV+oKZ/Xr1wco0bhYLBaGDBnCokWLqjOCVLMv7p7p7iG4lfKbOz+oBmbPD6qB8ps7P6gGRs5vrPOanBQREUFcXBwjR47E39+fxMRE6tevz4IFC1i7di2HDh0CSl+yuVOnTlfdZm5ubpWOWUREREREKs4jP6EB6NChA2vWrCm1PDMzk8TERKxWK507dy5x25133snChQtZv349Y8aMAYpPQ/vyyy+58cYbq2XcIiIiIiLiPI9taK5m//792O12IiMjCQwMLHHbqFGjuOmmm3j00Uc5e/YszZo145133mH//v18+eWXbhrx9RkQ2oD8UePKXedat4uIiIiI1FSma2j27t0LlD7dDIq/L7Nq1Sqefvppnn32WS5evEjXrl357LPPGDRoUHUPVURERERErkENzS/UrVuXBQsWsGDBguocllynXi//ima39iSoaQNWDXmKjP2JZa7X9n8G0WXKXWC1kLZ5H1uf+Rd2WyHh/TrT47mJ+NTyx26HpK++47tXPgS7vXqDVEBwy3Bumvcb/OoHU3Apm29/+xbnDyWVWKfN+IF0nDTC8Xdg4xBObYtnw8N/BiBiSA9unPkAFquVcwdO8O1v36IgM4fGt3Sl53M/X1nFP7QOOWfOs3pYTPWEc5IzNbjSrR/PJKRLKz5q//MVBK9Wg6CmDbjlnWlYrVYs3l5cOJzMlun/IP9CVnVEc4pT+S0Wer5wP00GdsPq7cWpHQfY9sy/KCqwERQRxphtb3H+ih9S2zBpLpeOn6Ju+2b0eW0SAaF1KLIVkr7nCNuefYfC3PxqTlk5zhwTjLjf/5IrjgOdHr+DNuNuwWK1cCEhhc2/+zv5F7MBeCh1Oefij2MvLL4M67bnF3J6e3w1pasYZ58HLvvl8cAox70r6XmgpOudA96B/gx89ylColph9fIq8VxRU+kYUEwNjXiE42u3sm/+p4xY+aerrhPUtAHdYyawelgMOWfOM2jR07S7bygHFn1B/oUsNj32OpknTuPl58OwZS/S5p4BHFm2sfpCVFDfOZM59MGXHFm2keYj+9B/3hTWDH+mxDpHlm7gyNINjr/v3PBXjq74Big+cPf76+N8MeZFLhxJofcrD9P1ybHsevl9Ujb+wKqNPzjuN3jxDNI276ueYBXgTA0u6zj5di4dP0VIl1aOZeXVIPtUBp/f+YLjBXyvl/+Xbk+NY8cL/66WbM5wJn/bewcT0qUlq4fFUFRgo+/cx+gwaQT7314FgC0zl1VDp5fadmFePtuffZdz8cexWK3cPP+3dHliNN//ZVm1ZLtezhwTjLjf/9L1Hgca3RxF2wkDWTNiBrasXKJ+dzfdn7mX7c++41j/89EvOF7c1GTOPOaXlXU8MMpx70p6HijpeudAkc3G3rc+Jf98Jrd98lJVDtVldAwo5pFXOStPbGwsdrudkSNHunso4kKntsWTnZpR7jrNb+/DyfW7yDlzHoCDi9fT8q5+AGTsO0bmidMAFOYVkLEvkaCmDap0zNfDP6Q2IV1bk/BJ8QHp+Npt1GocQnCLq/8oVWj3tviH1uHEuuLfRWoyqDsZ+45x4UgKAAfeW0fL0f1L3S+gYT0a9e9MwvJNVZCk8ipSg7qRETS7rRd73/y/EsvLq0FRvs3RzFisVrwD/GrUO/fO5q/fsTkpcXspKrABkBS7h9ZjB1xz+5eOpXEu/jgA9qIi0r9PIKhpmItTVB1njglG2+9/yRXHgfodW3BqxwFsWcVX8kz6ejetx95c9YOvAs485nD148GVaupx70p6HijteudAUb6NtM37atQn8eXRMeBnpmtoxLyCmoSSmXTG8Xdm0hlqNQkttV5AWF1a3N6Hk199V53Dq5BaTULJOXXO8REwQGZyepl5Lmt77yASlm/CbisEyqjHydMENKyLxavkYaHN+IEkxe4h9+xFF6e4Ps7WwOLtRd+5j7M1ZkGJdeHaNbD6eHPHl39mwv6F1G7ViD1/rjmfTjib/+yPR2k2rCc+QQFYvL1oOapvicbEO9CP2z+fxaj1c+j65Fgs1tJPC94BfkROHMyJdTurLpCbGWG//yVXHAfO/phA45uiCAirC0CrMTfhGxyIb90gx32GfTyTO76ay41/eLC4sTew8o4HV6qpx70r6XmgcpydA0agY8DP1NCIXMEnKIDBi59h7/yVnP0hwd3DcRnvAD9a3tmPw0tiK3zfthMGcvijr6tgVNWj27R7OP7Zdi4cTq7wfYsKbKwaOp2lUZO4cCSZdvcPrYIRVq0jSzeQvOF7blvxR4av+CMXjqY4nsiyT59jWfdHWTP8GdaN+yMNe3eg02OjStzf6uPNgAW/J3njD5z4fIc7IlQ5T93vf6ms40Dalv3se3sVg9+fwci1r5H33xesl+fIxz0fY82tT/PZqOfwD6lNzxfvd8vYXcXZ44HRj3tlMfPzwJWu5znB6Dz5GGC679CIeWUmp1P7io9hgyLCyEpOd/ztXev/27vv6Kjq/P/jzympJICQQIAAofcmCARUBKSLIiK6dr8WXEF2XSQ2XH82VJZd14aLq6yKgCAiVQWVItIR0IDUQIA0ICSU9Ewyvz8ioyEhDGGSmZv7epzjOTJz5+bzes/n3pn3zL13AhkwexJHlm/h1+klf8PIl2QmphJU9wosNqvrk5mQBmHF8vxR1PBoTu09yuk/nCiYkZhK/T4dXf8OaViH7GOnin3SExHdDluAP0l/OI7aV7hbg4jodlRrEEab/xuMxWbDLzSIUZunsWTIU27VAIoamwOfraLX1EfYOW1RxYdzw6XMgR3/nOc696XJTb1dJ4wW5jlcn7jmncpg/2craXrzNa6MFruNPtMfJ/t4Opufm1EZsSqdkbb783liPwCw9+Pl7P14OQDhV7YgMzGV/Ixs198AcGTnsuej5fT6x5iKilMpytofnHsj58v7vT/S60D5uDMHjEL7gN/pGxoxjcPLNtJwYDfX16qt7hnIoYXrgKITIwfMnkTiqu388u8vvDhK9+ScPENa7CGa3VJ0nGvjYT3JTE7jbHxKqcu3uKN/iU/lEldtp1aHptRoXh+A1vcO4tCidec9rh8H5q3CWeh7X8u7W4OvRzzH/Kv+zPzuj/L1TZPIP5vN/O6PknvyTJk1qBYZhi3Iv2glFguNh0eT9oergXmbu/ltAX7416gGQECtUDqMG0HsuwuBouOvLXYbAFZ/O42H9uTkzkMAWGxW+vzncXLTM1j/xH8qKVXlMtp2fz5P7AcAgurUBMAW5E/nmNuJ/a2h9a9Rrdg20OSmXpzcGe/xHJWprP3BOb683/sjvQ6UjztzwCi0D/idvqGRKiF6ysNE9u9KUJ2aDJgzifyMbBb0eoxeUx/h6IqtHF2xlYwjx9k+dR5DFhdd/SRl/S72ziz6wdS2Dw0lvEtz/IIDaDy0BwDxSzfwy5sLvJbpYtbHTOfqf4+lw/iR5Gdk8+Nf3wUolhmgerP61GoXVeJFypGZw/oJ79Hvf09isVk5tfcoa8e/47rfLzSYRkN7sKjv3yov1CVytwYXUlYNrmjTmCufugMAi9XCydhDbJ70YcUGukTu5PcLDWbwghdwFjqxWC3s/uArEr4tOk+kTo82dJl4G86CQix2Gyk/xvLLm0Vv7Jvc1JuoYT1J2xXPjd8WXdrz2Ja9xa5848vc2ScYcbs/3+XuBwAGfvYcWK3Y/OzEzV/DnhlfA1CjeQOip4wBpxOL3UZa7EE2+dBV/s7nznN+MUbY7/2RXgeK88QcuPH7fxJYuzp+oUHc+tN0UtbvZO1jb1fC6MtH+4AiFqfThy7bIy7OnBwco33/+ufn2Od9jCUw0GPry8/KYVazuy6+oA+5M+5T/II9UwOz5wfVQPnNnR9UA7PnB+PVwOz5QduAp+eAu3TImYiIiIiIGJYaGhERERERMSw1NCIiIiIiYlhqaERERERExLDU0IiIiIiIiGHpKmc+yul0Qm6ut4fhvoAALBaLx1bndDpxZBsoP0W/wOupGpg9P6gGym/u/KAamD0/GK8GZs8P2gY8PQfcpYZGREREREQMS4eciYiIiIiIYamhERERERERw1JDIyIiIiIihqWGRkREREREDEsNjYiIiIiIGJYaGhERERERMSw1NCIiIiIiYlhqaERERERExLDU0IiIiIiIiGGpoREREREREcNSQyMiIiIiIoalhkZERERERAxLDY2IiIiIiBiWGhoRERERETEsNTQiIiIiImJYamhERERERMSw1NCIiIiIiIhh2b09ACmd0+mE3FxvD8N9AQFYLBaPrc7pdOLINlB+wB7kuRqYPT+oBspv7vygGpg9PxivBmbPD56vgbhHDY2vys3FMfpeb4/CbfZ5H0NgoMfW58jOZVazuzy2vspwZ9yn+AV7pgZmzw+qgfKbOz+oBmbPD8argdnzg+drIO7RIWciIiIiImJYamhERERERMSw1NCIiIiIiIhhqaERERERERHDUkMjIiIiIiKGpYZGREREREQMSw2NiIiIiIgYlhoaERERERExLP2wplQpEdHtGLzghWK35Wdmc+ZgMnHzf2D3h1/hLCj00ugqnvKbOz+oBmbPD6qB8ps7P6gGZqSGRqqkgwvWkrByG1gsBIXXpPmtfej+wn3UaNGADROne3t4FU75zZ0fVAOz5wfVQPnNnR9UAzNRQyNV0snYQxz8Yq3r33s/Ws7Na9+k5R392fbaHHJPnvHi6Cqe8ps7P6gGZs8PqoHymzs/qAZmonNoxBQc2bmc2LYfi9VK9cZ1vT2cSqf85s4PqoHZ84NqoPzmzg+qQVWmhkZMIzSqaOeVeyrDyyPxDuU3d35QDcyeH1QD5Td3flANqiodciZVkj3In4Baoa7jZlvdM5DaHZpyYtt+zhxM9vbwKpzymzs/qAZmzw+qgfKbOz+oBmZiioYmNTWVKVOmsGDBAhISEggPD2fkyJFMnjyZ8ePHM2PGDN5++23GjRvn7aF63JrU4wzYsJrX2nbkb81al7qM/5J5DK1Tj4U9rqnk0VWcLjG30yXm9mK3xS/byKanP/DSiCqX8ps7P6gGZs8PqoHymzs/qAZmUuUbmh07djBkyBBSUlKoVq0abdu2JSkpibfeeou4uDjS0tIA6Ny5s3cHKh61d+YK4pdswOpn54rWjWg/dgTV6tWmIDfPtUyf9x4Hq4U1Y/7lus2/ZggjVr/B1hc/4eCCtaWt2hCU39z5QTUwe35QDZTf3PlBNTCTKn0OTWpqKsOHDyclJYUJEyaQnJzMtm3bSElJ4fXXX2fZsmVs2bIFi8VCx44dvT1c8aAzB1NIXhtL4srt7Jy2iO/vfY2wzs2Ifn2Ma5kNT/+XOle1osmI3q7bek5+kOOb9xh+B6b85s4PqoHZ84NqoPzmzg+qgZlU6YZm/PjxJCQkMG7cOKZOnUpoaKjrvpiYGDp16oTD4SAqKorq1at7caRS0U5s3Uvc/B9oMqI34d1aAZB3KoP1E96jxysPElT3ChoP60lEr3ZseLLqXZte+c2dH1QDs+cH1UD5zZ0fVIOqrMo2NLt372bu3LmEhYXx6quvlrpM165dAejUqZPrtuuuuw6LxVLqf4888kiljL0iZBUUkJqbW+p/ZvHzG/MpdBTQZeJtrtsSV+0gfsl6rn1nPD1fe4j1E94jN71qXvlE+c2dH1QDs+cH1UD5zZ0fVIOqqso2NHPmzKGwsJA777yTkJCQUpcJCgoCijc006ZNY8OGDcX+mzRpEgA33HBDxQ+8gry4dxf1Vywq9T+zOBufwqFF66h/bUfq9Gjjun3rC58Q2iSCxJXbSfh+mxdHWLGU39z5QTUwe35QDZTf3PlBNaiqquxFAVauXAlA3759L7hMQkICULyhadu2bYnlXnnlFcLDwxk8eHC5xtKtWzdSUlIu6TFBViu/do4u198rzYONmnJL/Yal3jdk45rLXn/Lli3JLiy87PWc4+e08jzdPba+c3558wuajOhNl4m3sXzU/wOKfmgr4/Bx0ncfuax1t2zRknyLZ2pg9vxQMTWoyPygOaD8vr8NgHFqYPb8YLz9oBHyg7FqYCYRERFs3bq1XI+tsg3N4cOHAWjcuHGp9zscDtatWwcUb2jOd+LECb755hseffRR7PbylSslJYXExMRLekywzQady/XnStU8JIT+4RX3q7hJSUlkFRR4bH3+FhuUY7gpG3bxUb1RF7z/9P5EPom87YL3X46k5CTynJ6pgdnzQ/lq4M38oDmg/N7fBqDq1MDs+cF4+0FfyA9Vqwbinirb0GRmZgKQnZ1d6v1z584lNTWV0NBQmjRpcsH1zJkzB4fDwd13313usURERFzyY4KsxjoasH79+h7/hgaDfcBRv159j34yaeb8oBoov7nzg2pg9vxgvBqYPT94vgZmUp73y+dU2YYmIiKC9PR0tm3bRnR08UO3kpOTmThxIgAdO3bEYrFccD0zZ86kTZs2dOvWrdxjKc/XZ86cHByj7y3336xs+/btwxIY6LH15WflMKvZXR5bX2XYt38ffsGeqYHZ84NqoPzmzg+qgdnzg/FqYPb84PkaiHuqbENz/fXXs3v3bl5//XUGDBhAy5YtAdiyZQt33303qampQNk/qLlnzx62bt3K5MmTK2PI4kXf3PK8t4fgVcpv7vygGpg9P6gGym/u/KAaGJmxjmu6BDExMdSuXZujR4/Srl07OnToQIsWLejevTtNmzalX79+QNnnz8ycOROLxcKdd95ZWcMWEREREZFLUGUbmsjISNauXcuwYcMIDAwkPj6eWrVqMX36dJYtW8a+ffuACzc0TqeTWbNmcd1119GoUaPKHLqIiIiIiLipyh5yBtCmTRuWLl1a4vaMjAzi4+OxWq20b9++1Mf+8MMPHD58mOefN/bXj33C6pA3fHSZy1zsfhERERERX1Vlv6Epy65du3A6nbRo0YLg4OBSl5k5cyZBQUGMGnXhy/6JiIiIiIh3mbKhiY2NBS58uFlOTg7z589nxIgRhIaGVubQRERERETkElTpQ84u5GINTWBgIKdOnarEEcnl6v7S/9FoUDdCGtZh8fVPkLYrvszlB33+PLU7NGV266JLY9e/rhPdnv390pCBYTXIPnGKJQNjKnLYlyW0SQTXvPkYAbVCyT+bxY9/eYdT+xKKL2Sx0O25u2nQtzNWu41jm/ew8an/UpjvoGbrRvR89UGCwmpQ6CggdfsBNj7zAQU5edRs3Yhr337MtRr/GtXwCwliTtv7KznlhbmTP6J3e7o+eyd+1QJxOiHhu5/46ZVZ4HQC0H7sCJqP7kNhnoOC3Hw2TZpB6o4DxdbR+YnRdJ4w2q155U3ubgM1Wzei5ysPEBheA4Btr83hyFebiIhux/WznuFMXJJr2WXDn6UgJ68yhl8ubs2BMnI1v60vbR8c6ro9uH5tjm3czaoH/lFsHVf/eyzNb+vL7Fb3kHcmq2JDXSK39gN/cP6+D6Ddn2+k+ejrsFgtnI5LYt1f33XlvC95Pum7D+MsKPpdjY2TZnB80+6KDVVO7mwD4V1bEv3aQwBY/Owc37ybTZNmUJjncHs++BJPPP+R13flqufvwWK1kr7nCD/+5R3yM7IJaViH6z6YgNVqxWK3cXp/Iusn/oe805mVEa1c3N0PtvhTPzqMuxmsFlLW7WTDU//F6Si46GuG+C41NFIlHF62gZ3TFjJ00csXXbbtmBs4e/gYtTs0dd2WtPpnFq/+2fXv/p88Tcq6nRUyVk/pNWUM+z79lgPzVtN4WE+ufnMcS4c8VWyZFnf0p3aHJiwZGENhvoNeUx+hzYND2fXeYgpy89j0zIek7z6MxWrl2ml/ocPYEez45zxO7TnC4gETXevp8coDPrdDdyd/3ulM1jzyBhlHjmML8GPgvL/T/NY+HJi3mlrtomh93yAW9nkcR1YOTW+5hh6TH2DZ0Kddjw/r3Jywzs3JOHq8suNdMne2AVuQP/0/epK149/m+OY9WKxW/K8Icd1/Ji6p2PPu69yZA3DhXAfmruLA3FWuf9+06l8cXPBDsWUaDe1BocN3f/Xb3RpA6fu+etd2pMXtfVk69GkcmTl0/OstdHnqDjY984Frma9HPOdzjVxp3NkG0n6NZ8mQp3A6CsBioe+HT9D6vsH8+v5St+aDr7nc598eHEjvf/2Zb0b+ndMHkujxygN0enwUW1+aSdaxNL6+6TnXhxrdX7qfzk+MZvNz/6uUbOXhzhwIaViHLjG3s2RgDNknTtHvoydpddcA9nz0TZmvGeLbTHnI2cqVK3E6nQwbNszbQxEPObZxN1nJaRddrmbLSBoN7k7s219ecJmguldQ7+r2xM1f48khelRg7erU7tSMuC+KXmwPL9tItfq1CY0q/iu7tdo2JmltLIX5DgASVm6n2ag+AJw9lEL67sMAOAsLSd0RR0jD8BJ/yxbgR9OR17B/zsqKjHRJ3M2ftvMQGUeKmpGC3HzSdsYT0rAOUHQlQ6vdhj04AAD/6tWKzSFbkD89Jj/A+pjplRHpsrmzDTS9+RpO/LSP45v3AEXPe+7JM5UxPI9zdw64K6xLCwLDanBk+e8/hBwYVoOO40ey+fmPPDFkj7uUGlxo31erbRTHNu/BkZkDQML322g26tqKH3wFcGcbKMjOK2pmAJu/HXugf6kf1pQ2H3yNJ57/Bv26kLbzEKcPFH2Duefj5TQZcTVA0TfXvzUzFqsVe1CAz32wdT535kDjG3pydMVWsk+cAmDvJytocnNvoOzXDPFtpmxoxJwsdhu9pv6ZDTHTXYdPlKb5bX1JWLmdHB9+o1etQRjZx9KL5chITKVag7Biy5385SCNBnbDLyQIi91Gk+G9Sm1a7EEBtLyzP0eWbylxX6OhPTh75JhPHW7lbv4/CgqvSdQNPTn63U8ApP96mF3vL2XU5mnc+tN02j58A5ue/dC1fLdJd7P34xVkJZ2suCCVrGbLSAry8un/ydPc+O0/uPqtxwioXd11f2hUBMNXTOGGr1+j1b2DvDjSi7uUOeBOrhZ39CNu/hrXm12AXlMfYetLM11v9n2NuzUoa9938pc46l/TkaDwmgA0HXkN/qHB+Nf8/Zu7gZ8/z43fTeWq/3dv0ZtagwuJDOfG76Zy+64Z5J3JYs9Hy0ssU9p88DWeeP5DGoSRkXDi98cfPU5Q3ZpYbEVvD61+dm789h/cvmsG1ZvWY/s/5lVgospRInPCiVL3G+e/ZohvU0MjptF5wq0c/moTp/cnlrlci9v7sn/295U0qop1YO4qElftYPCCFxmy4EVOH0wq8QJt9bPTZ/rfSFz9M0e+3lxiHS3+1J/9s33n25ny8AsJov8nTxE7bREnf44Dig47aDy0B19Ej+PzrmP49f2l9Jn+OFB0GE5IZHixw0+qAovNRv1rOrIhZjqLB0wkK+Wk63yCk7EHmXflGJYMjGHl/02h1T0DiRoe7eURXz53ctmDAmhyU+9i30K2uKM/mYmpPn/oqTvK2velrN/FzvcW03/m0wxb9qrrG7tz+4nPuz3C0kFP8tXwZwmsXZ1uf7+7UsdeETISTrD4+ieY2/EhbAF+NB7ao9j9pc0HI3P3ta80hfkOFg+YyNyOD3L6QCKt7h5QASP0PaW9ZohvU0MjphER3Y42Dwxh1OZpDFn0Mn6hQYzaPK3YJ9QR0e2wBfiT9IfzaXxRZmIqQXWvcH2KBkWfOmUmppZYdsc/57Fk4ES+uvFZTu9LKHbCqMVuo8/0x8k+ns7m52aUeGxIwzqEd23BoS/XVkyQcrqU/PZqgQyYPYkjy7fw6/Tff5eq8bCepO85QvaxdAAOfLaKut3bYPWzU+/q9tTq0IRRm6cxavM0guvV5vpPnyFyQNeKD1eBMhNTSV6/i6yUokMyDs7/gfArWwKQn5FN/tmi8ySyktM4tPBH6vZo47WxXoy7c8CdXFHDozm19yin/7BtRPRuT6NBV7nmAMCNK/9JrfZNKirSJXO3Bhfb9+39eDlLBz/JsmFPk7J+F5mJqeRnZLv+BoAjO5c9Hy336TlxqRxZORxauI6mI68pdntp88EXeeL5z0hMJSTy92/tQxrWIfvYqRLf5BTmOzjw2SrDHo74RyUyR4YXq9mFXjPEt5nyogBiTl+PeM71/+cOOZjf/dFiy7S4ox8H5q3CWXjhQ9J8Qc7JM6TFHqLZLde6TgbNTE7jbHxKseVsAX7YAv3JO51JQK1QOowbwbYpnwFgsVnp85/HyU3PYP0T/yn177T4Uz+OfL3Z504Idje/PbjohSlx1XZ++fcXxe47e+QYzW/viz04EEdWDpEDunL6QCKF+Q62TZ7NtsmzXcuO2jyNlfdP8anD7sojfsl6WtzRD7+QIPIzsmnQ/0rSfo0HIKhOTbJPnAanE3u1QCKv7+rTn1C7OwfcydXijv4lbls79s1i/74veT6L+03wqW3B3RpcbN8XVKcm2cdPYQvyp3PM7cROWwQUXd2wIC+fguw8sFhoclMvTu6Mr5RsFSU0KoKMhBM4HQVY/ew0GtKdtN/OJTyntPngizzx/Ceu2k7PVx+kRvP6nD6QROt7B3Fo0ToAqkWGkXPyjOv5bzw8mrTdRyovYAU5vGwjQxe9zI6p88g+cYpW9wzk0MKizGW9ZohvU0MjVUL0lIeJ7N+VoDo1GTBnEvkZ2Szo9Ri9pj7C0RVbObri4id2+oUG02hoDxb1/VsljPjyrY+ZztX/HkuH8SPJz8jmx7++C1Ass19oMIMXvICz0InFamH3B1+R8G3R8cBNbupN1LCepO2K58Zviy5LemzL3t+vbmSx0Hz0dawd/7ZX8l2MO/nbPjSU8C7N8QsOcB1WEr90A7+8uYAjX20irHMzhi9/nYLcfBxZufxw3ptYI3FnG8hMTOWXtxYwdMkrOAudZKWksX5iUTPbeFhPWt07CKejAIvdxuElGzjwmW+/qXNnDlwsV/Vm9anVLsr1Js5o3KnBxQz87DmwWrH52Ymbv4Y9M74GoEbzBkRPGQNOJxa7jbTYg2zy4StcubMN1Lu6PW0eGIqzoBCL3Uby2lh+eWO+ax1Gmw+X+/w7MnNYP+E9+v3vSSw2K6f2HmXt+HcAuKJNY6586g4ALFYLJ2MPsXnSh2WtzuvcmQMZR46zfeo8hiwuuhJayvpd7J35LUCZrxni2yxOp49fssKknDk5OEbfe/EFfYR93sdYAgM9tr78rBxmNbvr4gv6kDvjPsUv2DM1MHt+UA2U39z5QTUwe34wXg3Mnh88XwNxj86hERERERERw1JDIyIiIiIihqWGRkREREREDEsNjYiIiIiIGJYuCuCjnE4n5OZ6exjuCwjAYrF4bHVOpxNHtoHyU/RjbJ6qgdnzg2qg/ObOD6qB2fOD8Wpg9vzg+RqIe9TQiIiIiIiIYemQMxERERERMSw1NCIiIiIiYlhqaERERERExLDU0IiIiIiIiGGpoREREREREcNSQyMiIiIiIoalhkZERERERAxLDY2IiIiIiBiWGhoRERERETEsNTQiIiIiImJYamhERERERMSw1NCIiIiIiIhhqaERERERERHDUkMjIiIiIiKGpYZGREREREQMSw2NiIiIiIgYlhoaERERERExLDU0IiIiIiJiWHZvD0BK53Q6ITfX28NwX0AAFovFY6tzOp04sg2UH7AHea4GZs8PqoHymzs/qAZmzw/Gq4HZ84O2AU/PAbf/bqX/RXFPbi6O0fd6exRus8/7GAIDPbY+R3Yus5rd5bH1VYY74z7FL9gzNTB7flANlN/c+UE1MHt+MF4NzJ4ftA14eg64S4eciYiIiIiIYamhERERERERw1JDIyIiIiIihqWGRkREREREDEsNjYiIiIiIGJYaGhERERERMSw1NCIiIiIiYlj6HRqpUiKi2zF4wQvFbsvPzObMwWTi5v/A7g+/wllQ6KXRVTzlN3d+UA3Mnh9UA+U3d35QDcyYXw2NVEkHF6wlYeU2sFgICq9J81v70P2F+6jRogEbJk739vAqnPKbOz+oBmbPD6qB8ps7P6gGZsqvhkaqpJOxhzj4xVrXv/d+tJyb175Jyzv6s+21OeSePOPF0VU85Td3flANzJ4fVAPlN3d+UA3MlF/n0IgpOLJzObFtPxarleqN63p7OJVO+c2dH1QDs+cH1UD5zZ0fVIOqnF8NjZhGaFTRxpt7KsPLI/EO5Td3flANzJ4fVAPlN3d+UA2qan4dciZVkj3In4Baoa7jRlvdM5DaHZpyYtt+zhxM9vbwKpzymzs/qAZmzw+qgfKbOz+oBmbKX+UbmtTUVKZMmcKCBQtISEggPDyckSNHMnnyZMaPH8+MGTN4++23GTdunLeHKh7UJeZ2usTcXuy2+GUb2fT0B14aUeVSfnPnB9XA7PlBNVB+c+cH1cBM+at0Q7Njxw6GDBlCSkoK1apVo23btiQlJfHWW28RFxdHWloaAJ07d/buQCvQmtTjDNiwmtfaduRvzVqXuoz/knkMrVOPhT2uqeTRVZy9M1cQv2QDVj87V7RuRPuxI6hWrzYFuXmuZfq89zhYLawZ8y/Xbf41Qxix+g22vvgJBxesLW3VhqD85s4PqoHZ84NqoPzmzg+qgZnyV9lzaFJTUxk+fDgpKSlMmDCB5ORktm3bRkpKCq+//jrLli1jy5YtWCwWOnbs6O3hioedOZhC8tpYElduZ+e0RXx/72uEdW5G9OtjXMtsePq/1LmqFU1G9Hbd1nPygxzfvMcwG/CFKL+584NqYPb8oBoov7nzg2pgpvxVtqEZP348CQkJjBs3jqlTpxIaGuq6LyYmhk6dOuFwOIiKiqJ69epeHKlUhhNb9xI3/weajOhNeLdWAOSdymD9hPfo8cqDBNW9gsbDehLRqx0bnqxa12YH5Td7flANzJ4fVAPlN3d+UA2qcv4q2dDs3r2buXPnEhYWxquvvlrqMl27dgWgU6dOxW5fu3Yt/fv3JywsjJo1a9KzZ08WLFhQ4WOWivfzG/MpdBTQZeJtrtsSV+0gfsl6rn1nPD1fe4j1E94jN71qXfnjHOU3d35QDcyeH1QD5Td3flANqmr+KtnQzJkzh8LCQu68805CQkJKXSYoKAgo3tD8/PPPDBgwAJvNxkcffcTcuXNp2LAho0aNYunSpZUy9oqSVVBAam5uqf+Zxdn4FA4tWkf9aztSp0cb1+1bX/iE0CYRJK7cTsL327w4woql/ObOD6qB2fODaqD85s4PqkFVzV8lG5qVK1cC0Ldv3wsuk5CQABRvaObOnYvFYmHhwoXccMMNDBo0iM8++4yGDRsya9asih10BXtx7y7qr1hU6n9m8subX1BYUPyTCUd2LhmHj5O++4gXR1Y5lN/c+UE1MHt+UA2U39z5QTWoivmr5FXODh8+DEDjxo1Lvd/hcLBu3TqgeEOTl5eHv7+/69sbAJvNRmhoKIWFheUeT7du3UhJSbmkxwRZrfzaObrcf/N8DzZqyi31G5Z635CNay57/S1btiT7Mmp0Pj+nlefpfsmPS9mwi4/qjbrg/af3J/JJ5G0XvP9ytGzRknyLZ2pg9vxQvhp4Mz9oDii/97cBqDo1MHt+MN5+0BfyQ9WpgdnyR0REsHXr1nI9tko2NJmZmQBkZ2eXev/cuXNJTU0lNDSUJk2auG6/++67effdd5kwYQJPPvkkdrud6dOns3//fqZNm1bu8aSkpJCYmHhJjwm22aBzuf9kCc1DQugfXtdzKzxPUlISWQUFHlufv8UGFTfcCpGUnESe0zM1MHt+UA2U39z5QTUwe34wXg3Mnh+0DXh6DrirSjY0ERERpKens23bNqKji3/LkZyczMSJEwHo2LEjFovFdV+nTp34/vvvGTlyJG+88QYA1apV4/PPP+faa6+9rPFcqiCrsY4GrF+/vse/ocFzq6sU9evV9+inMmbOD6qB8ps7P6gGZs8PxquB2fODtoHLyV+e98vnWJxOp7Pcj/ZR48eP5+2336Zhw4Z89913tGzZEoAtW7Zw9913c/DgQfLz8xk7dizvvPOO63H79++nX79+dO7cmUcffRSbzcasWbP4/PPPWbp0Kf369au0DM6cHByj773s9VTWD2va532MJTCw3I8/X35WDrOa3eWx9VWGO+M+xS/YMzUwe35QDZTf3PlBNTB7fjBeDcyeH7QNeHoOuKtKfkMTExPD7NmzOXr0KO3ataN169bk5ORw4MABhgwZQlRUFMuXLy9xyeZnnnmG4OBgvvzyS+z2otIMHDiQI0eOMGHCBLZv3+6NOCIiIiIicgHGOq7JTZGRkaxdu5Zhw4YRGBhIfHw8tWrVYvr06Sxbtox9+/YBJX+DJjY2lk6dOrmamXO6devG7t27K238IiIiIiLinir5DQ1AmzZtSv3tmIyMDOLj47FarbRv377YfREREezYsQOHw1GsqdmyZQsNGjSo8DGLiIiIiMilqbINzYXs2rULp9NJy5YtCQ4OLnbf2LFjGT16NDfffDNjxozBZrMxe/Zs1qxZw5tvvumlEV+ePmF1yBs+usxlLna/iIiIiIivMl1DExsbC5Q83Azg1ltvZcmSJbz++uvce++9FBQU0LJlS2bNmsUdd9xR2UMVEREREZGLUENznhtuuIEbbrihMock5RTaJIJr3nyMgFqh5J/N4se/vMOpfQnFlml+W1/aPjjU9e/g+rU5tnE3qx74BwDVGoTRc/KDVG9aD2dhIXs+XsGeGV9T/7pOdHv29yuLBIbVIPvEKZYMjKmccJeo+0v/R6NB3QhpWIfF1z9B2q74Updr8ad+dBh3M1gtpKzbyYan/ovTUUBE7/Z0ffZO/KoF4nRCwnc/8dMrs8CgF0F0px5VIbM72wAWC1c9fw8N+nam0FFIbvpZ1j/xH87Gp1x0nvvXqEaPyQ8S1qkZhY4CElZs5afJsyozYpk8sQ+IvL4rVz1/DxarlfQ9R/jxL++Qn5FtuH0AuDnvo9tx/axnOBOX5Lpt2fBnKcjJI7xrS6JfewgAi5+d45t3s2nSDArzHJUV4ZK5Mwcutq23HzuC5qP7UJjnoCA3n02TZpC640CxdXR+YjSdJ4wuc//qbe48/yGR4Vz95jhqtY8i48hxFg+Y6LrPqPtET+wH2v35RpqPvg6L1cLpuCTW/fVd8s5kAXBf8nzSdx/GWVB0KeKNk2ZwfJNvnlftzhwoazu/WJ18mRoaMaxeU8aw79NvOTBvNY2H9eTqN8exdMhTxZY5MHcVB+aucv37plX/4uCCH1z/7jtjIrFvL+Tw0g1A0ZsWgKTVP7N49c+u5fp/8jQp63ZWZJzLcnjZBnZOW8jQRS9fcJmQhnXoEnM7SwbGkH3iFP0+epJWdw1gz0ffkHc6kzWPvEHGkePYAvwYOO/vNL+1Dwfmra68EB7kTj2qQmZ3toFGg7pR56rWLOr/BE5HAR3/egtXPn0Ha8b866LzvPcbj3J8817Wji065DYovGal5HLX5e4D7MGB9P7Xn/lm5N85fSCJHq88QKfHR7H1pZmG2weAe/Me4ExcUrE3suek/RrPkiFP4XQUgMVC3w+foPV9g/n1/ZLno/oKd+ZAWdt6rXZRtL5vEAv7PI4jK4emt1xDj8kPsGzo067Hh3VuTljn5mQcPV7Z8S6JW/u9jGy2vT4H/9BgrnzqT8XvM+g+8XL3A/Wu7UiL2/uydOjTODJz6PjXW+jy1B1seuYD1/Jfj3jO1eD4MnfmQFnb+cXeM/myKnmVs7KsXLkSp9PJsGHDvD0UuQyBtatTu1Mz4r4o2tAOL9tItfq1CY268I8yhXVpQWBYDY4s3wpAvWs6UJjrcDUzADmpp0s8LqjuFdS7uj1x89d4OIXnHNu4m6zktDKXaXxDT46u2Er2iVMA7P1kBU1u7g1A2s5DZBwperEuyM0nbWc8IQ3rVOiYK5I79TB6Zne3AacTbP52bAF+APiFBJGVfLLE+s6f56FREYR1bMau6Utcy5ybO77AE/uABv26kLbzEKcPFH1bsefj5TQZcXWJxxlhHwDuzfuyFGTnFb3JoWjO2AP9ffrTeXfnQFnbutPpxGq3YQ8OAMC/erViNbQF+dNj8gOsj5leGZEuizvPf96pDI5v3oMjK7fEfUbcJ3piP1CrbRTHNu/BkZkDQML322g2qvw/pu5N7swBd7fz8+vk60z3DY1UDdUahJF9LN31FTBARmIq1RqEcTY+pdTHtLijH3Hz17g25JotG5Jz8gx93nuc6s3qk5FwnC3/72PXDv2c5rf1JWHldnJOnqm4QJUgpEEYGQknXP/OSDhBtQZhJZYLCq9J1A09+e6e1ypzeF5lxMzubgNHV2ylXu923PbLBzgysslMSeObm58vsb7z53nNlpFkJp8k+vWHqN2pGbnpGfz08qek7TxU8eHc4Il9QIlt4uhxgurWxGKzFltvVdkHnBMaFcHwFVNwFhSy/7NV7P14ueu+kMhw+n30JKFRdUn4bht7Plpexpq8qzxz4PxtPf3Xw+x6fymjNk8jNz2Dgrx8vrn5767lu026m70fryArqeSHAFWZUfaJntgPnPwljtb3DSIovCbZJ07RdOQ1+IcG418zhLxTGQAM/Px5rDYbyT/Gsv31z3Bkl2wIjcSd7fz8Ovk6031DI+ZkDwqgyU292T9npes2i91Kvavb8/Mbn7Nk4ESSVv/Mde9PKPHYFrf3Zf/s7ytzuF7jFxJE/0+eInbaIk7+HOft4VSKqp45rFMzarZqxOddHmZu54dJXhtL9JSHSyx3/jy32G2EdWnOoYXrWDroSX59fyn9P3kKi91WmcP3mNL2Ae6qSvuAk7EHmXflGJYMjGHl/02h1T0DiRoe7bo/I+EEi69/grkdH8IW4EfjoT28OFrPKm1bD2lYh8ZDe/BF9Dg+7zqGX99fSp/pjwNFhyKFRIYXOwTHDKryPrG0/UDK+l3sfG8x/Wc+zbBlr5L72wcX597If97tEZYOepKvhj9LYO3qdPv73V4ZuyddbDu/nP2lt6ihEUPKTEwlqO4VWGy/T+GQBmFkJqaWunzU8GhO7T3K6T+cKJiZkMrJnYdcJw/Gfb6G2h2aFHvDFhHdDluAP0l/OJbeqDISUwmJDHf9OyQyvFi97NUCGTB7EkeWb+HX6b57zLwnGTmzu9tAs1v7kLxuZ9Hx304ncfNWE9GrXbFlSpvnmYmpZKWkkbJ+FwCJK7dj87cXm0Pe5Il9QIltomEdso+dKvZpb1XaBwDkZ2STf7boXICs5DQOLfyRuj3alFjOkZXDoYXraDrymsoeotsuZQ5caFtvPKwn6XuOkH0sHYADn62ibvc2WP3s1Lu6PbU6NGHU5mmM2jyN4Hq1uf7TZ4gc0LXiw3mJ0faJntgPAOz9eDlLBz/JsmFPk7J+F5mJqeRnZLv+BoAjO5c9Hy0vdXsxqgtt5xeqky9TQyOGlHPyDGmxh2h2S9Fxro2H9SQzOa2Mr5j7l/ikIXHldqrVq01wRC0AGvS/klP7E4t9vdrijn4cmLcKZ2EhRnd42UYaDuzmOrG71T0DObRwHVB0cvSA2ZNIXLWdX/79hRdHWXmMntndbeDskWPU690eq1/REcaRA7pxau/RYsuUNs9P/hxH/tlsrmjTGCg6MRqLhcyk0t8oVDaP7ANWbadWh6bUaF4fgNb3DuLQonXnPa7q7AMAgurUBIsFKHrzGnl9V07ujAeKDkU794GO1c9OoyHdSdt92EsjvTh350BZ2/rZI8eoc1Vr7MGBAEQO6MrpA4kU5jvYNnk2n185hvndH2V+90fJSj7Jd3dNJuHbnyonYCUz4j7RE/sB+G27oOicqc4xtxM7bRFQdKVHW5B/0UIWC01u6uXaXozKne38QnXyZTqHRgxrfcx0rv73WDqMH0l+RjY//vVdAHpNfYSjK7ZydEXRiWzVm9WnVruoEm9UHNm5bHjyfa6f+TRYLOSdzWLNI2+47vcLDabR0B4s6vu3ygtVTtFTHiayf1eC6tRkwJxJ5Gdks6DXY8VqkXHkONunzmPI4qKrn6Ss38Xemd8C0PahoYR3aY5fcIDrq+f4pRv45c0FXst0OdypR1XI7M42sOd/31CzRSQ3fj+VwvwCsk+cYsMfTnAua57/+Jd36DX1EWyB/hTm5bPqwak+dQnfy94HZOawfsJ79Pvfk1hsVk7tPcra8e+47jfSPgDcm/eNh/Wk1b2DcDoKsNhtHF6ygQOfFb1xqXd1e9o8MBRnQSEWu43ktbH88sZ8L6cqmztzoKxt/chXmwjr3Izhy1+nIDcfR1YuP4w15g9pu/P824L8Gfnj29gC7PiFBnPrT9OJ+2IN2ybPNuw+8XL3AwADP3sOrFZsfnbi5q9hz4yvAajRvAHRU8aA04nFbiMt9iCbnvtf5YW7RO7MgYtt52XVyZdZnE4fvoSJiTlzcnCMvtfbw3Cbfd7HWAIDPba+/KwcZjW76+IL+pA74z7FL9gzNTB7flANlN/c+UE1MHt+MF4NzJ4ftA14eg64S4eciYiIiIiIYamhERERERERw1JDIyIiIiIihqWGRkREREREDEsNjYiIiIiIGJaucuajnE4n5OZ6exjuCwjA8ttvG3iC0+nEkW2g/BT9sq6namD2/KAaKL+584NqYPb8YLwamD0/aBvw9BxwlxoaERERERExLB1yJiIiIiIihqWGRkREREREDEsNjYiIiIiIGJYaGhERERERMSw1NCIiIiIiYlhqaERERERExLDU0IiIiIiIiGGpoREREREREcNSQyMiIiIiIoalhkZERERERAxLDY2IiIiIiBiWGhoRERERETEsNTQiIiIiImJYamhERERERMSw1NCIiIiIiIhhqaERERERERHDUkMjIiIiIiKGZff2AKR0TqcTcnO9PQz3BQRgsVg8tjqn04kj20D5AXuQ52pg9vygGii/ufODamD2/GC8Gpg9P2gb8PQccPvvVvpfFPfk5uIYfa+3R+E2+7yPITDQY+tzZOcyq9ldHltfZbgz7lP8gj1TA7PnB9VA+c2dH1QDs+cH49XA7PlB24Cn54C7dMiZiIiIiIgYlhoaERERERExLDU0IiIiIiJiWGpoRERERETEsNTQiIiIiIiIYamhERERERERw1JDIyIiIiIihqWGRkREREREDEs/rClVSkR0OwYveKHYbfmZ2Zw5mEzc/B/Y/eFXOAsKvTS6iqf85s4PqoHZ84NqoPzmzg+qgRnzq6GRKunggrUkrNwGFgtB4TVpfmsfur9wHzVaNGDDxOneHl6FU35z5wfVwOz5QTVQfnPnB9XATPnV0EiVdDL2EAe/WOv6996PlnPz2jdpeUd/tr02h9yTZ7w4uoqn/ObOD6qB2fODaqD85s4PqoGZ8uscGjEFR3YuJ7btx2K1Ur1xXW8Pp9Ipv7nzg2pg9vygGii/ufODalCV86uhEdMIjSraeHNPZXh5JN6h/ObOD6qB2fODaqD85s4PqkFVzW+KQ85SU1OZMmUKCxYsICEhgfDwcEaOHMnkyZMZP348M2bM4O2332bcuHHeHqp4iD3In4Baoa7jRlvdM5DaHZpyYtt+zhxM9vbwKpzymzs/qAZmzw+qgfKbOz+oBmbKX+Ubmh07djBkyBBSUlKoVq0abdu2JSkpibfeeou4uDjS0tIA6Ny5s3cHWkHWpB5nwIbVvNa2I39r1rrUZfyXzGNonXos7HFNJY+u4nSJuZ0uMbcXuy1+2UY2Pf2Bl0ZUuZTf3PlBNTB7flANlN/c+UE1MFP+Kt3QpKamMnz4cFJSUpgwYQLPP/88oaGhAEyZMoUnn3wSu92OxWKhY8eOXh6teNLemSuIX7IBq5+dK1o3ov3YEVSrV5uC3DzXMn3eexysFtaM+ZfrNv+aIYxY/QZbX/yEgwvWlrZqQ1B+c+cH1cDs+UE1UH5z5wfVwEz5q/Q5NOPHjychIYFx48YxdepUVzMDEBMTQ6dOnXA4HERFRVG9enUvjlQ87czBFJLXxpK4cjs7py3i+3tfI6xzM6JfH+NaZsPT/6XOVa1oMqK367aekx/k+OY9htmAL0T5zZ0fVAOz5wfVQPnNnR9UAzPlr7INze7du5k7dy5hYWG8+uqrpS7TtWtXADp16lTs9u+++46ePXsSGBhInTp1eOSRRzh9+nSFj1kqzomte4mb/wNNRvQmvFsrAPJOZbB+wnv0eOVBgupeQeNhPYno1Y4NT1ata7OD8ps9P6gGZs8PqoHymzs/qAZVOX+VbWjmzJlDYWEhd955JyEhIaUuExQUBBRvaNasWcPgwYNp0KABX375Ja+88grz589nxIgROJ3OShl7RcgqKCA1N7fU/8zi5zfmU+gooMvE21y3Ja7aQfyS9Vz7znh6vvYQ6ye8R2561bryxznKb+78oBqYPT+oBspv7vygGlTV/FW2oVm5ciUAffv2veAyCQkJQPGG5sUXX6RFixZ8/vnnDBkyhIceeoj333+f1atXs2zZsooddAV6ce8u6q9YVOp/ZnE2PoVDi9ZR/9qO1OnRxnX71hc+IbRJBIkrt5Pw/TYvjrBiKb+584NqYPb8oBoov7nzg2pQVfNX2YsCHD58GIDGjRuXer/D4WDdunVA8YZm06ZN3H///Vitv/d6AwcOBGDhwoXccMMNlzyWbt26kZKSckmPCbJa+bVz9CX/rQt5sFFTbqnfsNT7hmxcc9nrb9myJdmFhZe9nnP8nFaep7vH1nfOL29+QZMRveky8TaWj/p/QNEPTWUcPk767iOXte6WLVqSb/FMDcyeHyqmBhWZHzQHlN/3twEwTg3Mnh+Mtx80Qn4wTg3Mlj8iIoKtW7eW67FVtqHJzMwEIDs7u9T7586dS2pqKqGhoTRp0sR1u81mw9/fv9iyfn5+WCwWdu3aVa6xpKSkkJiYeEmPCbbZoHO5/lypmoeE0D+84n4VNikpiayCAo+tz99ig3IMN2XDLj6qN+qC95/en8gnkbdd8P7LkZScRJ7TMzUwe34oXw28mR80B5Tf+9sAVJ0amD0/GG8/6Av5oerUwOz5L0WVbWgiIiJIT09n27ZtREcX/6YjOTmZiRMnAtCxY0csFovrvpYtW7Jp06Ziy2/ZsgWn0+n6zZryjOVSBVmNdTRg/fr1Pf4NDZ5bXaWoX6++Rz+VMXN+UA2U39z5QTUwe34wXg3Mnh+0DVxO/vK8Xz6nyjY0119/Pbt37+b1119nwIABtGzZEihqTu6++25SU1OBkj+oOX78eO655x5efvllHnnkERISEnj00Uex2WzFDkO7FOX5+syZk4Nj9L3l+nvesG/fPiyBgR5bX35WDrOa3eWx9VWGffv34RfsmRqYPT+oBspv7vygGpg9PxivBmbPD9oGPD0H3FVlG5qYmBhmz57N0aNHadeuHa1btyYnJ4cDBw4wZMgQoqKiWL58eYlLNt91113s2rWLl156ieeeew6bzcbYsWPx9/fXb9VUYd/c8ry3h+BVym/u/KAamD0/qAbKb+78oBoYOb+xjmu6BJGRkaxdu5Zhw4YRGBhIfHw8tWrVYvr06Sxbtox9+/YBJX+DxmKx8Nprr5GamsrPP//MsWPH+Oc//8n+/fvp1auXN6KIiIiIiMgFVNlvaADatGnD0qVLS9yekZFBfHw8VquV9u3bl/rY0NBQOnbsCMB///tfsrOzuf/++yt0vCIiIiIicmmqdENzIbt27cLpdNKyZUuCg4OL3bd161a+/fZbrrzyShwOB9999x1vvfUWU6dOpVmzZl4acfn1CatD3vDRZS5zsftFRERERHyVKRua2NhYoOThZgABAQEsWbKEV199FYfDQYcOHZg7dy6jRl348nciIiIiIuIdamjO06FDB9avX1/ZQ5JyCG0SwTVvPkZArVDyz2bx41/e4dS+hAsuP+jz56ndoSmzWxddPS4kMpyRG9/h1B9+RGrVg1M5e/gY9uBA+n74BLU7NsVqs7ke40vcyd/8tr60fXCo69/B9WtzbONuVj3wDwAir+/KVc/fg8VqJX3PEX78yzvkZ2RT/7pOdHv29yurBIbVIPvEKZYMjKmccG5w6/m3WOj23N006NsZq93Gsc172PjUfynMd5T5/Nds3Yierz5IUFgNCh0FpG4/wMZnPqAgJ6+SU7qv+0v/R6NB3QhpWIfF1z9B2q74EsuEd21J9GsPAWDxs3N88242TZpBYZ7jonPFF7kzB8rK/Efn7x8A2o8dQfPRfSjMc1CQm8+mSTNI3XGg4oNdgsvdDsqa6zVbN+Latx9zrca/RjX8QoKY09Y3D792ZxsAijK/8gCB4TUA2PbaHI58tYmI6HZcP+sZzsQluZZdNvxZn97u3Xn+y8rl7nZ/9b/H0vy2vsxudQ95Z7IqNtRlcGsOWCxc9fw9NOjbmUJHIbnpZ1n/xH84G59CSMM6XPfBBKxWKxa7jdP7E1k/8T/knc6s9Czl4U7+suaDu/tLX6SGRgyr15Qx7Pv0Ww7MW03jYT25+s1xLB3yVKnLth1zA2cPH6N2h6bFbndk5LB4wMQSyxc6HMS+s5C8UxkM/uKFChn/5XIn/4G5qzgwd5Xr3zet+hcHF/wAgD04kN7/+jPfjPw7pw8k0eOVB+j0+Ci2vjSTpNU/s3j1z67H9f/kaVLW7aycYG5yJ3+LO/pTu0MTlgyMoTDfQa+pj9DmwaHsem8xcOHnvyA3j03PfEj67sNYrFaunfYXOowdwY5/zquUbOVxeNkGdk5byNBFL19wmbRf41ky5CmcjgKwWOj74RO0vm8wv76/tMy54qvcmQNlZT6ntP1DrXZRtL5vEAv7PI4jK4emt1xDj8kPsGzo05WWzx2Xux2UNddP7TlSbPvo8coD4HRWdkS3ubMN2IL86f/Rk6wd/zbHN+/BYrXif0WI6/4zcUml7hN8lbuvgxfK5c5232hoDwodlf9DieXhzhxoNKgbda5qzaL+T+B0FNDxr7dw5dN3sGbMv8g6lsbXNz3namK7v3Q/nZ8Yzebn/ldZES6LO/nhwvPBnf2lr6qyVzkry8qVK3E6nQwbNszbQ5FyCqxdndqdmhH3RdGO9/CyjVSrX5vQqJI/ylSzZSSNBncn9u0v3V5/YZ6DlHU7ffZTmUvJf05YlxYEhtXgyPKi30Vq0K8LaTsPcfpA0ac0ez5eTpMRV5d4XFDdK6h3dXvi5q+pgCTl427+Wm0bk7Q2lsL8ok+XElZup9moPhdd/9lDKaTvPgyAs7CQ1B1xhDQM93AKzzq2cTdZyWX/+G9Bdl7RCxVg87djD/Qv9Q3q+XPFF7k7By6W+UL7B6fTidVuwx4cAIB/9WoXrW9l88R24O5ctwX40XTkNeyfs7IiI10Wd7aBpjdfw4mf9nF88x6gKHPuyTOVMTyPK8/rQFlK2+4Dw2rQcfxINj//kSeGXOHcmQNOZ9G+wBbgB4BfSBBZySeBotf+c82MxWrFHhTg0038+dzJXxZ3XyN8kSm/oRHjq9YgjOxj6TgLfv812ozEVKo1CONsfIrrNovdRq+pf2bdhGnFlj3HHhzADV+/hsVm5cjXm/nlzQU4C33/Z3ndzf9HLe7oR9z8Na6dVUiDMDISTvz++KPHCapbE4vNWmy9zW/rS8LK7eT40Iu+u/lP/nKQVncPYM+Mr3Hk5NFkeK9ib9bcef7tQQG0vLM/P02eVfHBKkFIZDj9PnqS0Ki6JHy3jT0fLS+xzPlzxRddyjZwocxl7R/Sfz3MrveXMmrzNHLTMyjIy+ebm/9e8cEugae2g3PKmuuNhvbg7JFjFzyMyyhqtoykIC+f/p88TbV6tUjbfYQtL3zsampCoyIYvmIKzoJC9n+2ir0fl9w+fMWlbAPu5Cptu+819RG2vjQTR2ZOxQWpZEdXbKVe73bc9ssHODKyyUxJ45ubf//9FaufnRu+epVqkeGk7z7M9/e+7sXRVoyy5oM7rxG+yJTf0Ih5dJ5wK4e/2sTp/Ykl7ss6ns68Lg+zdMhTLB/9InV7tKHdI8O9MMqKZw8KoMlNvcv16WqL2/uyf/b3FTCqindg7ioSV+1g8IIXGbLgRU4fTHK9WLvz/Fv97PSZ/jcSV//Mka83eyOCx2UknGDx9U8wt+ND2AL8aDy0R7H7L2eu+KoLZS5r/xDSsA6Nh/bgi+hxfN51DL++v5Q+0x+v7KF7RFnbwTkXm+st/tSf/bONPycsNhv1r+nIhpjpLB4wkayUk65zBk7GHmTelWNYMjCGlf83hVb3DCRqeLSXR3z53MlV2nbf4o7+ZCam+tzhxpcrrFMzarZqxOddHmZu54dJXhtL9JSHXfcX5jtYPGAiczs+yOkDibS6e4AXR+t5F5sPF3uN8FVqaMSQMhNTCap7BRbb71M4pEEYmYmpxZaLiG5HmweGMGrzNIYsehm/0CBGbZ5GQO3qFOY5XN865J3KYP9nK6nbo02l5igvd/OfEzU8mlN7j3L6DyeLZiSmEhL5+6e0IQ3rkH3sVLFP+yKi22EL8CfpD+fT+IJLyb/jn/NYMnAiX934LKf3JbhOmL3Y82+x2+gz/XGyj6ez+bkZFZyo8jmycji0cB1NR15T7PbS5oovutRtAEpmLmv/0HhYT9L3HCH7WDoABz5bRd3ubbD6+c6BDZ7YDuDicz2kYR3Cu7bg0JdrKyZIJcpMTCV5/S6yUooOyzk4/wfCr2wJQH5GNvlni054z0pO49DCH336NcHd59+dXKVt9xG929No0FWM2jyNUZunAXDjyn9Sq32TiopUKZrd2ofkdTuLLm7gdBI3bzURvdqVWK4w38GBz1bRbNS1XhhlxXF3nl/oNcJXqaERQ8o5eYa02EM0u6VoR9N4WE8yk9NKfM3+9YjnmH/Vn5nf/VG+vmkS+Wezmd/9UXJPniGwdnUsdhsAVn87jYf25OTOQ5WepTzczX9Oizv6l/jEPXHVdmp1aEqN5vUBaH3vIA4tWnfe4/pxYN4qnzsMz938tgA//GtUAyCgVigdxo0g9t2FAGU+/xablT7/eZzc9AzWP/GfSkpV8UKjIn7P7Gen0ZDupP12/sQ5pc0VX+TuHCgrc1n7h7NHjlHnqtbYgwMBiBzQldMHEl3nofgCT2wH7sz1Fn/qx5GvN/v01a3cFb9kPWGdm+EXEgRAg/5XkvZrPABBdWqCxQKAvVogkdd35eTOeO8M1A3uPv/u5Cptu1879k0+7/YI87s/yvzujwKwuN8E0gzyOnkhZ48co17v9q4PJyIHdOPU3qMAVIsMwxbkX7SgxULj4dGk/eFKmFVBWfPBndcIX+U7HzWJXKL1MdO5+t9j6TB+JPkZ2fz413eBomN+j67YytEVZZ/QXKdHG7pMvA1nQSEWu42UH2P55c0vXPff+P0/CaxdHb/QIG79aTop63ey9rG3KzTTpXA3f/Vm9anVLqpEs+LIzGH9hPfo978nsdisnNp7lLXj33Hd7xcaTKOhPVjU92+VF+oSuJPfLzSYwQtewFnoxGK1sPuDr0j49ieg7Oe/yU29iRrWk7Rd8dz4bdHlS49t2cumZz7wTlg3RE95mMj+XQmqU5MBcyaRn5HNgl6PFatHvavb0+aBoa7MyWtj+eWN+a51XGiu+Cp35sDFMl/Ika82Eda5GcOXv05Bbj6OrFx+GPtmRUe6ZJe7HVx0rlssNB99HWvH+86+70Lc2QYyE1P55a0FDF3yCs5CJ1kpaayfWNTINR7Wk1b3DsLpKMBit3F4yQYOfObbzb07z//Fchltuy+LO3Ngz/++oWaLSG78fiqF+QVknzjFhpjpAFzRpjFXPnUHABarhZOxh9g86UNvRrok7uQvaz6Ud3/pCyxOp0EuX2AyzpwcHKN977dPLsQ+72MsgYEeW19+Vg6zmt118QV9yJ1xn+IX7JkamD0/qAbKb+78oBqYPT8YrwZmzw/aBjw9B9ylQ85ERERERMSw1NCIiIiIiIhhqaERERERERHDUkMjIiIiIiKGpYZGREREREQMS1c581FOpxNyc709DPcFBGD57brmnuB0OnFkGyg/Rb+07KkamD0/qAbKb+78oBqYPT8YrwZmzw/aBjw9B9ylhkZERERERAxLh5yJiIiIiIhhqaERERERERHDUkMjIiIiIiKGpYZGREREREQMSw2NiIiIiIgYlhoaERERERExLDU0IiIiIiJiWGpoRERERETEsNTQiIiIiIiIYamhERERERERw1JDIyIiIiIihqWGRkREREREDEsNjYiIiIiIGJYaGhERERERMSw1NCIiIiIiYlhqaERERERExLDU0IiIiIiIiGGpoREREREREcNSQyMiIiIiIoalhkZERERERAxLDY2IiIiIiBiWGhoRERERETEsNTQ+4ocffuCmm26icePGWCwWXn755RLLbNq0iV69ehEYGEi9evV4+umnKSgo8MJoRURERER8gxoaH5GRkUHbtm2ZMmUKERERJe4/evQoAwYMoFWrVvz000+89957TJ8+nWeffdYLoxURERER8Q0Wp9Pp9PYgpLioqCgefPBBJk2a5LrtmWee4ZNPPuHIkSNYrUV96LvvvktMTAzHjx+nWrVq3hquiIiIiIjX6Bsag1i3bh0DBw50NTMAgwcPJisri+3bt3txZCIiIiIi3qOGxiCSk5NLHIp27t/JycneGJKIiIiIiNepoREREREREcNSQ2MQ9erVIyUlpdhtx44dc90nIiIiImJGamgMonfv3nz77bcUFha6bvvmm28IDg6mS5cuXhyZiIiIiIj3qKHxERkZGezYsYMdO3aQl5dHSkoKO3bs4MCBAwD8+c9/5vTp0zz00EPs2rWLxYsX89xzz/HYY4/pCmciIiIiYlq6bLOPWL16NX379i1xe58+fVi9ejUAGzdu5G9/+xvbtm2jZs2a3H///bz88svYbLZKHq2IiIiIiG9QQ2MwR5OPU/uKGgQHBnh7KCIiIiIiXmf39gDEfY6CAj798ltycvN4YPRQGjWo6+0hiYiIiIh4lc6hMZCfYvdy+mwm/v5+1KtT29vDERERERHxOjU05ykoKGDmzJkMHDiQ8PBwAgICaNSoEYMHD+aDDz6goKDAK+NyFBSwcv12AK7r0Rk/P325JiIiIiKic2j+4MyZM4wYMYJVq1YBUL9+fRo0aEBSUhJJSUk4nU7S09OpWbNmpY9t045f+XL5j4SGBBPz8O1qaERERERE0Dk0xTzwwAOsWrWKyMhIPvnkk2JXHTt27Bgffvghfn5+l7zetz9ewNmM7MsYmZOzmUWPz8938I/3517GukREREREfEtoSBCP3TuyXI9VQ/Obn376ifnz52O32/n6669p3759sfvr1q3LM888U651n83I5kxGpieGSU5uHjm5eR5Zl4iIiIiI0amh+c3ChQsBGDZsWIlm5nKFhgRdxqOLvp1xOp0EBvjjX45viEREREREfNnlvF9WQ/ObX3/9FYDo6GiPr7u8X58BbNqxmy+Xr9W5MyIiIiIipdC749+cOXMGgBo1anh83eU/h0bnzoiIiIhI1adzaDygevXqAJw+fdrj6/bEOTQ6d0ZEREREpCQ1NL9p164dCxYsYMOGDR5fd/mOCdS5MyIiIiJiDpdzDo1+h+Y327dv58orr8TPz48dO3bQtm1br45H586IiIiIiFyc1dsD8BVdunRh9OjR5OfnM2TIENasWVPs/mPHjvHqq6+SmemZyy+XxVFQwKoN2wG4rkdnNTMiIiIiIhegb2j+4MyZM9x0002sXr0agAYNGlC/fn2Sk5NJTEzE6XSSnp5OzZo1K3Qc+nZGRERERMQ9+obmD6pXr853333Hhx9+yHXXXUdWVhY///wzVquVQYMG8eGHHxIaGlrh4/D3s1M9pJq+nRERERERuQh9Q+Oj8h0OLFiw223eHoqIiIiIiM9SQyMiIiIiIoalQ85ERERERMSw1NCIiIiIiIhhqaERERERERHDUkMjIiIiIiKGpYZGREREREQMSw2NiIiIiIgYlhoaERERERExLDU0IiIiIiJiWGpoRERERETEsNTQiIiIiIiIYamhERERERERw1JDIyIiIiIihqWGRkREREREDEsNjYiIiIiIGJYaGhERERERMSw1NCIiIiIiYlhqaERERERExLDU0IiIiIiIiGGpoREREREREcNSQyMiIiIiIoalhkZERERERAxLDY2IiIiIiBiWGhoRERERETEsNTQiIiIiImJYamhERERERMSw1NCIiIiIiIhhqaERERERERHDUkMjIiIiIiKGpYZGREREREQMSw2NiIiIiIgYlhoaERERERExLDU0IiIiIiJiWGpoRERERETEsNTQiIiIiIiIYamhERERERERw1JDIyIiIiIihqWGRkREREREDEsNjYiIiIiIGJYaGhERERERMaz/DzTXGgy8MHWPAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 1040x953.167 with 1 Axes>"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "qc.draw(output=\"mpl\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Incorporate Dependencies to the quantum circuit using Adjacency Matrix"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Apply controlled rotations based on dependencies from the adjacency matrix"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "a65eaa7a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<qiskit.circuit.instructionset.InstructionSet at 0x7cb0feb9cd00>"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "for i in range(num_assets):  # Control qubit\n",
    "    for j in range(num_assets):  # Target qubit\n",
    "        if adjacency_matrix[i, j] > 0:\n",
    "            dependency_theta = 2 * np.arcsin(np.sqrt(adjacency_matrix[i, j]))\n",
    "            qc.cry(dependency_theta, qr[i], qr[j])  # Controlled rotation based on dependency\n",
    "\n",
    "# Measure all qubits\n",
    "qc.measure(qr, cr)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2210.55x1956.5 with 1 Axes>"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Draw the full quantum circuit\n",
    "qc.draw(output=\"mpl\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Backend selecton"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "backend = service.backend(name=\"ibm_brisbane\")\n",
    "# backend = service.backend(name=\"ibm_kyiv\")\n",
    "# backend = service.backend(name=\"ibm_sherbrooke\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Transpile the quantum circuit for the selected backend"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "transpiled_circuit = transpile(qc, backend=backend)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Directly run the transpiled circuit on the backend"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/tmp/ipykernel_4007/1751882231.py:5: DeprecationWarning: backend.run() and related sessions methods are deprecated  as of qiskit-ibm-runtime 0.23 and will be removed no sooner than 6 months after the release date. More details can be found in the primitives migration guide https://docs.quantum.ibm.com/migration-guides/qiskit-runtime.\n",
      "  job = backend.run(transpiled_circuit)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "cwvty7r997wg008xx0mg\n"
     ]
    }
   ],
   "source": [
    "# If not specifying the number of shots, the default is 1024\n",
    "shots = 1024\n",
    "\n",
    "# job = backend.run(transpiled_circuit, shots=shots)\n",
    "job = backend.run(transpiled_circuit)\n",
    "job_id = job.job_id()\n",
    "print(job_id)\n",
    "\n",
    "result = job.result()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# MAYDAY!!! MAYDAY!!!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [],
   "source": [
    "job.cancel()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Get the result counts"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Simulation Result: {'1100001001': 3, '1101111101': 2, '1010101101': 2, '0011101100': 2, '0101011101': 13, '1001111000': 3, '1010010001': 9, '1011101011': 2, '1101100000': 1, '0110100100': 1, '0000011011': 3, '1111001011': 3, '0000100000': 2, '1101100101': 2, '1001001010': 2, '0101111111': 9, '0111010001': 10, '1010001100': 1, '1001100110': 1, '0000111101': 5, '1100100001': 6, '1111011111': 1, '0010000110': 4, '1000001001': 9, '1000111001': 7, '1000111111': 5, '0000101011': 5, '0111001101': 4, '1000101101': 6, '0010010010': 4, '0001000010': 4, '1001001110': 1, '0110000000': 7, '1111111011': 1, '0111010010': 5, '0010100111': 6, '0110111010': 2, '0110000010': 6, '0010110100': 5, '0111000011': 7, '0010100110': 6, '1010001011': 9, '1010001010': 7, '0100110001': 10, '0001111110': 8, '1100110101': 4, '1011100000': 4, '0100010111': 4, '0001000111': 5, '1101101000': 2, '0001101100': 9, '1001101110': 4, '0010110000': 4, '0011111011': 5, '1101000000': 1, '0000101000': 3, '1001100001': 4, '1010100110': 2, '1100001100': 2, '1011011101': 3, '0111101000': 3, '1011010000': 2, '0110011110': 2, '0100111100': 6, '1011000001': 4, '0111100011': 1, '0001001101': 4, '1000001011': 5, '0110100101': 1, '1011000011': 4, '1110000011': 3, '1001011101': 6, '0101011000': 7, '0001111011': 13, '1110001011': 5, '0111010111': 3, '0100100101': 4, '0111001010': 6, '1000001010': 4, '0001011000': 6, '0100110110': 2, '0101101010': 3, '1101101101': 1, '1001001001': 2, '0001100100': 13, '1010110011': 5, '0100010000': 2, '1000001110': 3, '0110001100': 1, '1110010101': 3, '0001000000': 8, '0001101110': 10, '1101011000': 1, '1100000010': 1, '1010011101': 5, '0110000111': 2, '1101100100': 1, '1110101101': 1, '0101001111': 7, '1010110010': 2, '0000100111': 9, '0100000111': 3, '0000110011': 8, '0001001001': 9, '1011101001': 4, '1011011010': 6, '0111000101': 10, '0000000100': 7, '0011001110': 2, '0010011010': 5, '0101000100': 1, '0110101011': 4, '0100100001': 2, '0110100111': 6, '0000010111': 2, '0000111001': 11, '1110110010': 1, '1111011010': 2, '0110100001': 15, '0111000110': 1, '1011100101': 4, '0011011110': 4, '0001110011': 9, '1110100011': 1, '1100100110': 2, '1110101001': 5, '0001000011': 8, '0100111000': 7, '0110100011': 3, '0111101110': 1, '0000000010': 4, '1100010011': 3, '1111010000': 1, '1010111010': 1, '0100110011': 6, '0111001011': 6, '1010010100': 5, '1101000100': 2, '0010101011': 4, '0100001000': 3, '1101101100': 2, '1000000100': 1, '0000101100': 5, '1110000101': 1, '1101011111': 1, '1000101011': 6, '1001000000': 2, '1100010100': 3, '0101000010': 2, '0010000101': 3, '1111101100': 1, '0100100000': 2, '1000100110': 8, '1010000010': 7, '1000100010': 2, '0110000001': 18, '0010010100': 3, '0011011101': 4, '1111010111': 1, '1010101010': 3, '1000100001': 5, '1000011110': 3, '1001001111': 2, '1011100111': 3, '0000010000': 8, '1111111001': 2, '0011111001': 5, '0010011001': 11, '0110110110': 2, '0101101110': 5, '0001000100': 9, '1101011010': 2, '0111000111': 1, '1011000010': 4, '1101011100': 1, '0001011011': 13, '1011011000': 3, '1101101001': 1, '0000000000': 5, '0010010001': 5, '0011100110': 3, '1011011111': 1, '1100000101': 1, '1001111010': 3, '0100001011': 3, '1001010101': 4, '0000101101': 5, '0111101001': 1, '0010001000': 12, '1011011100': 2, '0111111111': 5, '0101101000': 5, '0010000100': 5, '0111010110': 1, '1001010111': 2, '1011110110': 1, '0101111000': 6, '1110000000': 3, '0111111011': 3, '1101010011': 2, '0110111111': 1, '0001010000': 17, '1010100101': 4, '0110010011': 6, '1110101011': 1, '0010101000': 5, '0101001101': 7, '1110000110': 1, '1001011000': 3, '0011100111': 1, '1101000010': 1, '0000011101': 4, '1000011010': 3, '0000000110': 6, '1001010010': 2, '0000100100': 6, '1110101111': 3, '1101010001': 1, '0100000001': 10, '0111110011': 5, '1000101000': 3, '1000101110': 2, '0011000010': 4, '1100101100': 2, '1101110011': 2, '1111110011': 1, '0110011001': 5, '0101010101': 14, '1010000011': 5, '0001001100': 8, '1000010101': 7, '0100011101': 8, '0010001011': 5, '0010100001': 10, '0110011010': 3, '0110100110': 1, '0100011001': 10, '0101110001': 14, '1000000001': 5, '0001000101': 6, '1110011110': 2, '1000010010': 3, '1101110110': 3, '0011101101': 4, '1111010011': 2, '1010001111': 1, '0110110011': 3, '1010001000': 2, '1010110101': 2, '0110001111': 3, '0111001001': 2, '1111100000': 1, '0100010011': 4, '1010100000': 5, '0101110010': 3, '0111111110': 3, '1100111000': 4, '1110110110': 1, '1100001011': 2, '0110111101': 4, '0001111111': 10, '0010010000': 13, '1110010010': 5, '0011111101': 2, '0000011001': 10, '1111110100': 1, '1010100100': 4, '1100101111': 3, '0010110111': 3, '1000110101': 7, '1100011110': 1, '1001101010': 2, '0100000011': 6, '0011101010': 9, '0100101000': 2, '1000100100': 9, '0101011110': 4, '0101000011': 4, '0101100000': 2, '1100110011': 2, '1111011101': 1, '0011101011': 6, '1001011010': 2, '0101110101': 8, '0100011111': 4, '1011101101': 1, '0011101110': 3, '0110101110': 3, '1011001010': 2, '0100111001': 9, '0011001011': 6, '0110101111': 6, '0111111100': 3, '0000110010': 9, '1000111011': 4, '0000001010': 5, '0000111011': 3, '1001011110': 4, '0111101100': 1, '0011100101': 5, '0000010101': 8, '1110100000': 2, '0111001111': 5, '1100100000': 1, '1010011001': 9, '0111010100': 1, '0110011000': 1, '1010000100': 2, '0010100100': 4, '1011111001': 3, '1001101001': 6, '1011001000': 4, '1011000000': 4, '1100010000': 4, '0010110001': 10, '0101001100': 6, '0101101111': 10, '0101100110': 1, '0000110000': 18, '0101110011': 6, '0100011000': 1, '1100110110': 1, '0011000011': 3, '1110111010': 1, '0110100010': 1, '0001010110': 4, '1111001101': 1, '0101010011': 7, '0001001011': 4, '0010101100': 2, '1111101110': 1, '1110000001': 7, '0001101011': 10, '0110100000': 6, '0100010001': 10, '1010101111': 4, '1001110010': 4, '0111010011': 10, '0011110010': 3, '0000110100': 6, '0001011101': 4, '0000000011': 7, '1010111011': 5, '0001110010': 7, '0001001111': 7, '0011010011': 6, '1010000001': 13, '1000010011': 6, '0100001010': 1, '0100110000': 3, '1010100010': 3, '1110001010': 2, '0100101101': 6, '0111110001': 8, '1101010110': 2, '1001001011': 3, '0100111110': 7, '1010100011': 3, '0100101011': 7, '0010100011': 6, '1010000110': 1, '0110000011': 6, '0100111011': 6, '0110010111': 5, '1000000000': 4, '1101111100': 1, '0000001000': 3, '1101111010': 2, '1010001101': 4, '1110001000': 4, '1110000111': 2, '0110001110': 1, '1110001100': 2, '1010000111': 2, '1000110001': 7, '0100011100': 3, '0010101101': 1, '1110111111': 1, '0001110110': 6, '0111011101': 3, '0001100001': 18, '1101111001': 1, '0111100001': 6, '0011011001': 6, '0001010011': 8, '0101000111': 2, '1110100100': 2, '0010000011': 3, '0100010101': 6, '0111100101': 2, '0001001010': 11, '1010010011': 1, '0111101101': 3, '1001001100': 1, '1000110000': 11, '1010101011': 4, '0001110000': 22, '0010111001': 7, '0011111100': 2, '0010010111': 2, '1101010010': 2, '0011000111': 1, '1000001000': 2, '1010110100': 1, '0011110011': 6, '1100010111': 1, '0011100100': 4, '0110111110': 4, '1110100001': 2, '0110010101': 5, '0110000110': 3, '1000101111': 6, '0111000000': 2, '1011110010': 1, '1001111111': 6, '0100111010': 2, '1000010111': 1, '0000110111': 8, '0010000111': 2, '0100101010': 3, '1110000100': 1, '0111001000': 14, '1101101111': 1, '0010000010': 3, '1101010101': 1, '0000000101': 6, '1000011011': 2, '1101110001': 2, '0011110001': 9, '1010010101': 3, '1011101110': 1, '0101010001': 17, '0110001010': 3, '1101000001': 1, '0010010101': 2, '1010001001': 7, '1001010001': 5, '1111110001': 1, '1011101100': 2, '0011110100': 4, '1110100110': 1, '1001101101': 4, '1101010100': 3, '1110001001': 3, '1000001111': 4, '1001101111': 7, '0100101110': 2, '0100010110': 1, '0100001001': 7, '0111100111': 4, '0011000101': 8, '1001110011': 4, '0101110110': 2, '1010000101': 1, '1101000111': 1, '0110010001': 19, '1000011101': 9, '0101001000': 4, '1010111000': 2, '0001110001': 5, '1001000110': 2, '0000111111': 7, '1100101010': 1, '1111101011': 1, '0110111000': 2, '1011010101': 2, '1000001100': 4, '1010110001': 4, '0100000100': 1, '0011010001': 20, '0010111000': 4, '1101110000': 2, '0000100011': 7, '1111010010': 1, '0000001100': 5, '0000101110': 5, '0011100001': 14, '0111110110': 1, '0111011000': 4, '0011011100': 2, '1101001100': 2, '0010110110': 4, '0110000101': 8, '0001100000': 8, '1011100011': 1, '0111100110': 1, '0000001011': 4, '0000110001': 10, '1011110001': 3, '1110110100': 1, '1000000110': 2, '0100100100': 2, '0011110000': 12, '0101001001': 10, '1010110110': 1, '1001000001': 3, '1111101000': 3, '0011000110': 3, '1001110100': 5, '1001011011': 4, '0011100000': 9, '1000000111': 2, '0101010010': 4, '0100101111': 7, '1101110111': 3, '0001110100': 12, '0101100010': 1, '0010110101': 5, '0110111100': 2, '0110101100': 2, '1101111111': 2, '1110101100': 1, '1100000000': 3, '1000100111': 3, '0110110101': 1, '1000010001': 8, '1111110000': 1, '0110010100': 4, '0001111001': 7, '1100101001': 3, '0000011100': 4, '1110101000': 5, '1100111010': 1, '0000110110': 6, '1111000001': 3, '0000001001': 6, '0011101000': 2, '0111111010': 5, '1001111110': 5, '1010011000': 7, '1100110001': 5, '0110111001': 1, '0100100011': 2, '0101100011': 12, '1100110000': 3, '1111100111': 2, '1011111000': 2, '1110011010': 2, '1110100101': 3, '0010001111': 1, '1111011011': 2, '0111100100': 3, '1110111101': 2, '1100111011': 4, '0111110010': 2, '1100111101': 2, '0101001011': 9, '0001100110': 2, '1010011011': 7, '0101011011': 6, '0100001101': 6, '0110001000': 8, '1111001100': 1, '0001111010': 16, '0101111011': 12, '0000100001': 1, '0011000100': 3, '0010011000': 9, '0011110111': 5, '0000111010': 1, '0011111000': 5, '0010101010': 2, '1011011011': 5, '1010011111': 2, '1010100001': 10, '1010101000': 5, '0111011111': 9, '1000111100': 6, '1101001101': 1, '1111001111': 3, '0111011110': 1, '1100011101': 4, '1000110110': 4, '1001000100': 1, '1101110101': 8, '1011001110': 2, '0011011010': 3, '0101100100': 2, '1100100010': 1, '0111000001': 15, '1001100011': 2, '0101011010': 1, '1011101111': 1, '0001101101': 5, '0001010001': 12, '0010100010': 3, '0000101111': 5, '0101100111': 5, '1100101101': 5, '1100100011': 1, '0010101001': 8, '1001000010': 1, '1111101111': 2, '1010111110': 1, '0111000100': 1, '1001000101': 1, '0001100101': 7, '0010011100': 3, '0101111100': 7, '0001011110': 14, '1000110100': 5, '1111010001': 2, '1110100111': 1, '1000001101': 2, '0010100000': 8, '0001001110': 6, '1100011000': 1, '0100010100': 4, '1101001110': 1, '1100111111': 3, '1000101010': 3, '1100110111': 2, '0101111001': 8, '1011010110': 1, '0111111101': 3, '0010001001': 13, '0100110111': 4, '0111110101': 2, '1010110111': 2, '1000110111': 5, '1001111001': 4, '1011111111': 2, '1001101011': 5, '1011010001': 6, '0010111101': 3, '0010111011': 1, '1001011100': 2, '0110010010': 8, '1100100100': 2, '0011110110': 3, '0000010110': 6, '1100101110': 1, '0111111001': 6, '0010101111': 4, '0100111101': 10, '1111100011': 5, '1010011010': 3, '1001100000': 1, '1101111110': 1, '0100100111': 9, '1010110000': 4, '0010100101': 6, '0100100010': 1, '0001111100': 11, '0110110000': 2, '0100011010': 1, '1101100111': 1, '1100011111': 2, '1100110100': 2, '1110111001': 1, '0101110100': 1, '1011001011': 7, '0010000001': 14, '1110010011': 1, '1100010001': 3, '0111011001': 1, '0101000001': 7, '1101011011': 3, '1100000111': 2, '1110001101': 2, '0000011111': 2, '0000000001': 4, '1000100011': 4, '0000011000': 10, '0000111100': 7, '1011110111': 3, '0110101010': 2, '0011011000': 9, '0101111101': 16, '1010111101': 3, '0101000110': 4, '0111011010': 1, '0000101010': 8, '1001110110': 1, '0101010111': 7, '1100011100': 5, '0111010000': 2, '0110011111': 2, '0111100010': 3, '1100000011': 2, '0000001111': 8, '1100010010': 2, '0011101001': 5, '0100001111': 5, '1111111000': 3, '0000010010': 8, '1100110010': 2, '1111111111': 2, '1100001010': 1, '1000110011': 3, '0101011100': 7, '0101100101': 11, '0011111111': 3, '0111000010': 3, '1101101011': 1, '1001011001': 3, '0110110111': 2, '1101100010': 1, '0011111010': 4, '1000101001': 6, '1110001111': 2, '1110001110': 1, '0010101110': 1, '0010011110': 2, '0110001001': 11, '0001110111': 10, '0101111110': 8, '0100111111': 3, '0001100010': 4, '1110011111': 1, '1110010000': 6, '1011010111': 2, '0011110101': 2, '0000010011': 4, '0101101001': 7, '1011001100': 2, '0100000110': 1, '1110010001': 2, '0110111011': 5, '0001110101': 7, '0100011011': 3, '1110110111': 1, '0000100101': 5, '1101000110': 1, '0101101011': 11, '1111010101': 1, '1111001000': 3, '0001011001': 10, '1110011101': 1, '1110010110': 2, '0100000101': 2, '0001010100': 18, '1101100011': 4, '0000010100': 5, '1001110111': 4, '1011011110': 1, '1000101100': 2, '1001010100': 4, '1100000001': 3, '1111101001': 1, '1001110001': 1, '0001000001': 10, '0101110000': 4, '0000100110': 3, '1100001000': 1, '1010010000': 2, '1011001111': 2, '0001101111': 10, '0011001111': 3, '1000000010': 6, '0101000101': 9, '1111111010': 1, '0101101100': 2, '0111011011': 10, '1101110010': 1, '1010000000': 5, '1011100001': 4, '0010001100': 4, '0010110010': 3, '0001010101': 13, '1011110000': 2, '0110101001': 1, '1000000101': 3, '1101011001': 1, '1100111001': 1, '0110010000': 4, '0000001110': 3, '1011001001': 4, '0011010100': 3, '0010000000': 24, '0010111010': 6, '0010001101': 2, '1000011001': 5, '1001010000': 4, '1100101000': 1, '1111011100': 1, '0000111110': 5, '1001000111': 3, '1000011111': 3, '0000010001': 7, '0011010010': 4, '1101000011': 2, '0110110001': 9, '1010111001': 3, '1001000011': 1, '0001010111': 14, '0010010011': 5, '1011111101': 2, '0011111110': 1, '1101111000': 1, '1111001001': 3, '1110111100': 1, '0111101111': 2, '0100101001': 6, '1000100101': 3, '1001100111': 1, '1000010000': 2, '1000010100': 4, '0110101101': 2, '0001010010': 6, '0000101001': 7, '1001101100': 6, '0001111101': 10, '0010001010': 10, '0010011101': 3, '1000000011': 4, '0001101001': 9, '1011110100': 3, '1111111101': 2, '0110101000': 3, '0001100011': 14, '0101011111': 7, '1100010110': 2, '1101001000': 2, '0101001010': 2, '1011110101': 2, '0101110111': 9, '1110111011': 5, '0010110011': 5, '0110010110': 2, '0001111000': 11, '1100010101': 1, '1010101001': 5, '1100111100': 2, '1000011000': 5, '1111111110': 2, '1111100001': 3, '1001111100': 4, '1110110011': 1, '0011011011': 4, '1000111010': 3, '1101011101': 3, '1101111011': 3, '1001001101': 3, '1000111101': 4, '1111111100': 2, '0101010100': 2, '1011000101': 1, '0000110101': 8, '0101101101': 7, '1110110001': 3, '1000111110': 5, '0000111000': 6, '0011010000': 15, '0000001101': 5, '0011000000': 27, '0011001000': 10, '0001011100': 9, '1000111000': 4, '0100110100': 1, '1010010010': 3, '0101100001': 9, '0110110100': 2, '0110001101': 3, '1110110000': 1, '1011101010': 2, '1101001111': 1, '0011001010': 10, '1011010010': 1, '1101010000': 2, '0110001011': 8, '1100001111': 2, '0011001101': 1, '0001100111': 4, '1011111100': 3, '0010001110': 2, '0101011001': 7, '1011000100': 1, '0001000110': 5, '0111101011': 7, '0101010000': 6, '1001110000': 6, '1011010011': 2, '0011010101': 2, '0111111000': 2, '1010010111': 2, '0111101010': 2, '1100111110': 2, '1001110101': 5, '1010010110': 2, '0010011011': 5, '0101111010': 6, '1100011001': 1, '0100010010': 4, '0111011100': 1, '1001101000': 1, '0010111100': 1, '1001011111': 1, '1001111011': 6, '0001011111': 7, '0011000001': 21, '1001100101': 4, '0001011010': 7, '0001001000': 7, '0101000000': 2, '0011001100': 5, '1010100111': 2, '1101100001': 3, '1001111101': 6, '1000110010': 4, '1110011001': 3, '0110011101': 4, '0100110101': 8, '0011101111': 4, '0001101000': 5, '0101010110': 2, '0001101010': 8, '1000010110': 1, '0011100011': 7, '1000011100': 5, '0000100010': 10, '1110000010': 1, '1110011000': 4, '1111000011': 2, '0011001001': 15, '0110011011': 7, '1011011001': 2, '0010011111': 3, '0010010110': 1, '1110011011': 4, '0000011110': 5, '0111001100': 2, '0111100000': 1}\n",
      "Length of counts 923\n"
     ]
    }
   ],
   "source": [
    "counts = result.get_counts()\n",
    "print(\"Simulation Result:\", counts)\n",
    "print(\"Length of counts\",len(counts))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Calculate risks per asset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Cumulative Risk per Asset: [1.21, 1.53, 1.68, 2.0, 1.91, 2.03, 1.9, 1.57, 1.64, 2.29]\n"
     ]
    }
   ],
   "source": [
    "asset_risks = [0] * len(next(iter(counts)))\n",
    "\n",
    "for bitstring, frequency in counts.items():\n",
    "    for i, bit in enumerate(bitstring):\n",
    "        if bit == '1':\n",
    "            asset_risks[i] += frequency / shots\n",
    "\n",
    "# Truncate to 2 decimals \n",
    "asset_risks_truncated = [round(x, 2) for x in asset_risks]\n",
    "\n",
    "# Print the cumulative risk vector\n",
    "print(\"Cumulative Risk per Asset:\", asset_risks_truncated)\n",
    "\n",
    "# Cumulative Risk per Asset: [1.12, 1.68, 2.07, 1.97, 2.89, 1.67, 2.62, 2.26, 1.98, 1.73]\n",
    "# Cumulative Risk per Asset: [1.23, 1.91, 0.92, 1.89, 2.14, 2.83, 2.11, 2.32, 1.51, 1.98]\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Plot the bar chart"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "815d0b3f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Generate labels for each asset as \"A(x): Asset Name\"\n",
    "tick_labels = [f\"A{i+1}:\\n {asset_names[i]}\" for i in range(len(asset_names))]\n",
    "\n",
    "plt.figure(figsize=(10, 6))\n",
    "plt.bar(range(len(asset_risks)), asset_risks, tick_label=tick_labels)\n",
    "plt.title(\"Cumulative Risk per Asset\")\n",
    "plt.xlabel(\"Assets\")\n",
    "plt.ylabel(\"Cumulative Risk\")\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Create graph of Assett Risks"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x700 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "G = nx.DiGraph()\n",
    "G.add_nodes_from(asset_names)\n",
    "\n",
    "# Añadir aristas al grafo con los pesos de la matriz de adyacencia\n",
    "for i in range(adjacency_matrix.shape[0]):\n",
    "    for j in range(adjacency_matrix.shape[1]):\n",
    "        if adjacency_matrix[i, j] > 0:\n",
    "            G.add_edge(asset_names[i], asset_names[j], weight=adjacency_matrix[i, j])\n",
    "\n",
    "# Preparar etiquetas de nodos que incluyan el nombre y el riesgo\n",
    "node_labels = {asset_names[i]: f\"{asset_names[i]} \\n {asset_risks_truncated[i]}\" for i in range(len(asset_names))}\n",
    "\n",
    "# Dibujar el grafo\n",
    "pos = nx.spring_layout(G, seed=42)\n",
    "edges = G.edges(data=True)\n",
    "weights = [edge[2]['weight'] for edge in edges]\n",
    "\n",
    "plt.figure(figsize=(10, 7))\n",
    "nx.draw_networkx_nodes(G, pos, node_size=700, node_color=\"lightblue\")\n",
    "nx.draw_networkx_edges(G, pos, edgelist=edges, width=2, alpha=0.7, edge_color=weights, edge_cmap=plt.cm.Blues)\n",
    "nx.draw_networkx_labels(G, pos, labels=node_labels, font_size=10, font_weight=\"bold\")\n",
    "\n",
    "# Agregar etiquetas a las aristas con los pesos de dependencia\n",
    "edge_labels = {(u, v): f\"{d['weight']:.1f}\" for u, v, d in G.edges(data=True)}\n",
    "nx.draw_networkx_edge_labels(G, pos, edge_labels=edge_labels)\n",
    "\n",
    "plt.title(\"Asset risks\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "qiskit",
   "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": "3.12.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}