Name_Entity_Recognition.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "6064d12c",
   "metadata": {},
   "outputs": [],
   "source": [
    "import spacy\n",
    "\n",
    "nlp = spacy.load('en_core_web_sm')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "80f42728",
   "metadata": {},
   "outputs": [],
   "source": [
    "doc = nlp(\"Tesla Inc is going to acquire Twitter for $45 billion\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "9ec9fa21",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Tesla Inc | ORG | Companies, agencies, institutions, etc.\n",
      "Twitter | PRODUCT | Objects, vehicles, foods, etc. (not services)\n",
      "$45 billion | MONEY | Monetary values, including unit\n"
     ]
    }
   ],
   "source": [
    "for ent in doc.ents:\n",
    "    print(ent.text, \"|\", ent.label_ ,\"|\", spacy.explain(ent.label_))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "dc1165d6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<span class=\"tex2jax_ignore\"><div class=\"entities\" style=\"line-height: 2.5; direction: ltr\">\n",
       "<mark class=\"entity\" style=\"background: #7aecec; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
       "    Tesla Inc\n",
       "    <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; vertical-align: middle; margin-left: 0.5rem\">ORG</span>\n",
       "</mark>\n",
       " is going to acquire \n",
       "<mark class=\"entity\" style=\"background: #bfeeb7; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
       "    Twitter\n",
       "    <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; vertical-align: middle; margin-left: 0.5rem\">PRODUCT</span>\n",
       "</mark>\n",
       " for \n",
       "<mark class=\"entity\" style=\"background: #e4e7d2; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
       "    $45 billion\n",
       "    <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; vertical-align: middle; margin-left: 0.5rem\">MONEY</span>\n",
       "</mark>\n",
       "</div></span>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# use displacy to get a simialr visual image\n",
    "spacy.displacy.render(doc, style='ent')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "78d95eb2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['CARDINAL',\n",
       " 'DATE',\n",
       " 'EVENT',\n",
       " 'FAC',\n",
       " 'GPE',\n",
       " 'LANGUAGE',\n",
       " 'LAW',\n",
       " 'LOC',\n",
       " 'MONEY',\n",
       " 'NORP',\n",
       " 'ORDINAL',\n",
       " 'ORG',\n",
       " 'PERCENT',\n",
       " 'PERSON',\n",
       " 'PRODUCT',\n",
       " 'QUANTITY',\n",
       " 'TIME',\n",
       " 'WORK_OF_ART']"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nlp.pipe_labels['ner']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "57a812f6",
   "metadata": {},
   "outputs": [],
   "source": [
    "doc = nlp(\"Michael Bloomberg founded Bloomberg in 1982\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "3ddd934f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<span class=\"tex2jax_ignore\"><div class=\"entities\" style=\"line-height: 2.5; direction: ltr\">\n",
       "<mark class=\"entity\" style=\"background: #aa9cfc; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
       "    Michael Bloomberg\n",
       "    <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; vertical-align: middle; margin-left: 0.5rem\">PERSON</span>\n",
       "</mark>\n",
       " founded \n",
       "<mark class=\"entity\" style=\"background: #aa9cfc; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
       "    Bloomberg\n",
       "    <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; vertical-align: middle; margin-left: 0.5rem\">PERSON</span>\n",
       "</mark>\n",
       " in \n",
       "<mark class=\"entity\" style=\"background: #bfe1d9; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
       "    1982\n",
       "    <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; vertical-align: middle; margin-left: 0.5rem\">DATE</span>\n",
       "</mark>\n",
       "</div></span>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "spacy.displacy.render(doc, style='ent')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "64620346",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<span class=\"tex2jax_ignore\"><div class=\"entities\" style=\"line-height: 2.5; direction: ltr\">\n",
       "<mark class=\"entity\" style=\"background: #aa9cfc; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
       "    Michael Bloomberg\n",
       "    <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; vertical-align: middle; margin-left: 0.5rem\">PERSON</span>\n",
       "</mark>\n",
       " founded \n",
       "<mark class=\"entity\" style=\"background: #7aecec; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
       "    Bloomberg Inc\n",
       "    <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; vertical-align: middle; margin-left: 0.5rem\">ORG</span>\n",
       "</mark>\n",
       " in \n",
       "<mark class=\"entity\" style=\"background: #bfe1d9; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
       "    1982\n",
       "    <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; vertical-align: middle; margin-left: 0.5rem\">DATE</span>\n",
       "</mark>\n",
       "</div></span>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "doc = nlp(\"Michael Bloomberg founded Bloomberg Inc in 1982\")\n",
    "spacy.displacy.render(doc, style='ent')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "4a86a02b-445b-46b3-b2c8-b75bb02fb11e",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Defaulting to user installation because normal site-packages is not writeable\n",
      "Requirement already satisfied: transformers in /home/anant/.local/lib/python3.10/site-packages (4.40.2)\n",
      "Requirement already satisfied: filelock in /home/anant/.local/lib/python3.10/site-packages (from transformers) (3.14.0)\n",
      "Requirement already satisfied: huggingface-hub<1.0,>=0.19.3 in /home/anant/.local/lib/python3.10/site-packages (from transformers) (0.23.0)\n",
      "Requirement already satisfied: numpy>=1.17 in /home/anant/.local/lib/python3.10/site-packages (from transformers) (1.26.4)\n",
      "Requirement already satisfied: packaging>=20.0 in /home/anant/.local/lib/python3.10/site-packages (from transformers) (24.0)\n",
      "Requirement already satisfied: pyyaml>=5.1 in /usr/lib/python3/dist-packages (from transformers) (5.4.1)\n",
      "Requirement already satisfied: regex!=2019.12.17 in /home/anant/.local/lib/python3.10/site-packages (from transformers) (2024.5.10)\n",
      "Requirement already satisfied: requests in /home/anant/.local/lib/python3.10/site-packages (from transformers) (2.31.0)\n",
      "Requirement already satisfied: tokenizers<0.20,>=0.19 in /home/anant/.local/lib/python3.10/site-packages (from transformers) (0.19.1)\n",
      "Requirement already satisfied: safetensors>=0.4.1 in /home/anant/.local/lib/python3.10/site-packages (from transformers) (0.4.3)\n",
      "Requirement already satisfied: tqdm>=4.27 in /home/anant/.local/lib/python3.10/site-packages (from transformers) (4.66.4)\n",
      "Requirement already satisfied: fsspec>=2023.5.0 in /home/anant/.local/lib/python3.10/site-packages (from huggingface-hub<1.0,>=0.19.3->transformers) (2024.5.0)\n",
      "Requirement already satisfied: typing-extensions>=3.7.4.3 in /usr/local/lib/python3.10/dist-packages (from huggingface-hub<1.0,>=0.19.3->transformers) (4.11.0)\n",
      "Requirement already satisfied: charset-normalizer<4,>=2 in /home/anant/.local/lib/python3.10/site-packages (from requests->transformers) (3.3.2)\n",
      "Requirement already satisfied: idna<4,>=2.5 in /usr/lib/python3/dist-packages (from requests->transformers) (3.3)\n",
      "Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/lib/python3/dist-packages (from requests->transformers) (1.26.5)\n",
      "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.10/dist-packages (from requests->transformers) (2024.2.2)\n",
      "Note: you may need to restart the kernel to use updated packages.\n"
     ]
    }
   ],
   "source": [
    "pip install transformers"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c0dc1b11-90b1-4196-98ff-a60c28bfe064",
   "metadata": {},
   "source": [
    "# Setting custom entities"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "fc56ea22",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Tesla  |  ORG\n",
      "Twitter  |  PRODUCT\n",
      "$45 billion  |  MONEY\n"
     ]
    }
   ],
   "source": [
    "doc = nlp(\"Tesla is going to acquire Twitter for $45 billion\")\n",
    "for ent in doc.ents:\n",
    "    print(ent.text, \" | \", ent.label_)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "81b7ae5b-8452-47b2-92a8-52212693f729",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "going to acquire"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "s = doc[2:5]\n",
    "s\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "39d4085d-2a95-4d9f-888d-4b109730898e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "spacy.tokens.span.Span"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "type(s)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "b9113f6f-768d-4410-82aa-07954933df4e",
   "metadata": {},
   "outputs": [],
   "source": [
    "from spacy.tokens import Span\n",
    "\n",
    "s1 = Span(doc, 0, 1, label=\"ORG\")\n",
    "s2 = Span(doc, 5, 6, label=\"ORG\")\n",
    "\n",
    "doc.set_ents([s1, s2], default=\"unmodified\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "42d4169b-de31-4930-9081-3e3a1f9970ca",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Tesla  |  ORG\n",
      "Twitter  |  ORG\n",
      "$45 billion  |  MONEY\n"
     ]
    }
   ],
   "source": [
    "for ent in doc.ents:\n",
    "    print(ent.text, \" | \", ent.label_)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "86570141-ca47-456c-b64e-84acb60c5592",
   "metadata": {},
   "source": [
    "# Exercises"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "2cad270d-2a63-4632-8807-3a39c350dde9",
   "metadata": {},
   "outputs": [],
   "source": [
    "text = \"\"\"Kiran want to know the famous foods in each state of India. So, he opened Google and search for this question. Google showed that\n",
    "in Delhi it is Chaat, in Gujarat it is Dal Dhokli, in Tamilnadu it is Pongal, in Andhrapradesh it is Biryani, in Assam it is Papaya Khar,\n",
    "in Bihar it is Litti Chowkha and so on for all other states\"\"\"\n",
    "\n",
    "doc = nlp(text)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "4e68ac76-89ec-4860-9017-a48102d86159",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<span class=\"tex2jax_ignore\"><div class=\"entities\" style=\"line-height: 2.5; direction: ltr\">\n",
       "<mark class=\"entity\" style=\"background: #7aecec; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
       "    Kiran\n",
       "    <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; vertical-align: middle; margin-left: 0.5rem\">ORG</span>\n",
       "</mark>\n",
       " want to know the famous foods in each state of \n",
       "<mark class=\"entity\" style=\"background: #feca74; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
       "    India\n",
       "    <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; vertical-align: middle; margin-left: 0.5rem\">GPE</span>\n",
       "</mark>\n",
       ". So, he opened \n",
       "<mark class=\"entity\" style=\"background: #7aecec; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
       "    Google\n",
       "    <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; vertical-align: middle; margin-left: 0.5rem\">ORG</span>\n",
       "</mark>\n",
       " and search for this question. \n",
       "<mark class=\"entity\" style=\"background: #7aecec; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
       "    Google\n",
       "    <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; vertical-align: middle; margin-left: 0.5rem\">ORG</span>\n",
       "</mark>\n",
       " showed that<br>in \n",
       "<mark class=\"entity\" style=\"background: #feca74; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
       "    Delhi\n",
       "    <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; vertical-align: middle; margin-left: 0.5rem\">GPE</span>\n",
       "</mark>\n",
       " it is \n",
       "<mark class=\"entity\" style=\"background: #7aecec; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
       "    Chaat\n",
       "    <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; vertical-align: middle; margin-left: 0.5rem\">ORG</span>\n",
       "</mark>\n",
       ", in \n",
       "<mark class=\"entity\" style=\"background: #feca74; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
       "    Gujarat\n",
       "    <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; vertical-align: middle; margin-left: 0.5rem\">GPE</span>\n",
       "</mark>\n",
       " it is \n",
       "<mark class=\"entity\" style=\"background: #aa9cfc; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
       "    Dal Dhokli\n",
       "    <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; vertical-align: middle; margin-left: 0.5rem\">PERSON</span>\n",
       "</mark>\n",
       ", in \n",
       "<mark class=\"entity\" style=\"background: #feca74; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
       "    Tamilnadu\n",
       "    <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; vertical-align: middle; margin-left: 0.5rem\">GPE</span>\n",
       "</mark>\n",
       " it is \n",
       "<mark class=\"entity\" style=\"background: #feca74; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
       "    Pongal\n",
       "    <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; vertical-align: middle; margin-left: 0.5rem\">GPE</span>\n",
       "</mark>\n",
       ", in \n",
       "<mark class=\"entity\" style=\"background: #feca74; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
       "    Andhrapradesh\n",
       "    <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; vertical-align: middle; margin-left: 0.5rem\">GPE</span>\n",
       "</mark>\n",
       " it is \n",
       "<mark class=\"entity\" style=\"background: #aa9cfc; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
       "    Biryani\n",
       "    <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; vertical-align: middle; margin-left: 0.5rem\">PERSON</span>\n",
       "</mark>\n",
       ", in \n",
       "<mark class=\"entity\" style=\"background: #feca74; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
       "    Assam\n",
       "    <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; vertical-align: middle; margin-left: 0.5rem\">GPE</span>\n",
       "</mark>\n",
       " it is \n",
       "<mark class=\"entity\" style=\"background: #aa9cfc; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
       "    Papaya Khar\n",
       "    <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; vertical-align: middle; margin-left: 0.5rem\">PERSON</span>\n",
       "</mark>\n",
       ",<br>in \n",
       "<mark class=\"entity\" style=\"background: #feca74; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
       "    Bihar\n",
       "    <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; vertical-align: middle; margin-left: 0.5rem\">GPE</span>\n",
       "</mark>\n",
       " it is \n",
       "<mark class=\"entity\" style=\"background: #aa9cfc; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
       "    Litti Chowkha\n",
       "    <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; vertical-align: middle; margin-left: 0.5rem\">PERSON</span>\n",
       "</mark>\n",
       " and so on for all other states</div></span>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "spacy.displacy.render(doc, style='ent')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "a47010aa-4dc9-4cc4-8c00-7893c91c468d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[India, Delhi, Gujarat, Tamilnadu, Pongal, Andhrapradesh, Assam, Bihar]"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# gather all the geographical locations\n",
    "GPEs = [ent for ent in doc.ents if ent.label_ == \"GPE\"]\n",
    "GPEs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "11bdf51e-80c0-439e-b98d-d48b71442b7c",
   "metadata": {},
   "outputs": [],
   "source": [
    "text = \"\"\"Sachin Tendulkar was born on 24 April 1973, Virat Kholi was born on 5 November 1988, Dhoni was born on 7 July 1981\n",
    "and finally Ricky ponting was born on 19 December 1974.\"\"\"\n",
    "\n",
    "doc = nlp(text)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "e9f8dc1c-12aa-4d35-89c3-39632b901c1c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<span class=\"tex2jax_ignore\"><div class=\"entities\" style=\"line-height: 2.5; direction: ltr\">\n",
       "<mark class=\"entity\" style=\"background: #aa9cfc; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
       "    Sachin Tendulkar\n",
       "    <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; vertical-align: middle; margin-left: 0.5rem\">PERSON</span>\n",
       "</mark>\n",
       " was born on \n",
       "<mark class=\"entity\" style=\"background: #bfe1d9; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
       "    24 April 1973\n",
       "    <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; vertical-align: middle; margin-left: 0.5rem\">DATE</span>\n",
       "</mark>\n",
       ", \n",
       "<mark class=\"entity\" style=\"background: #ff9561; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
       "    Virat Kholi\n",
       "    <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; vertical-align: middle; margin-left: 0.5rem\">LOC</span>\n",
       "</mark>\n",
       " was born on \n",
       "<mark class=\"entity\" style=\"background: #bfe1d9; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
       "    5 November 1988\n",
       "    <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; vertical-align: middle; margin-left: 0.5rem\">DATE</span>\n",
       "</mark>\n",
       ", \n",
       "<mark class=\"entity\" style=\"background: #aa9cfc; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
       "    Dhoni\n",
       "    <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; vertical-align: middle; margin-left: 0.5rem\">PERSON</span>\n",
       "</mark>\n",
       " was born on \n",
       "<mark class=\"entity\" style=\"background: #bfe1d9; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
       "    7 July 1981\n",
       "    <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; vertical-align: middle; margin-left: 0.5rem\">DATE</span>\n",
       "</mark>\n",
       "<br>and finally \n",
       "<mark class=\"entity\" style=\"background: #aa9cfc; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
       "    Ricky\n",
       "    <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; vertical-align: middle; margin-left: 0.5rem\">PERSON</span>\n",
       "</mark>\n",
       " ponting was born on \n",
       "<mark class=\"entity\" style=\"background: #bfe1d9; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em;\">\n",
       "    19 December 1974\n",
       "    <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; vertical-align: middle; margin-left: 0.5rem\">DATE</span>\n",
       "</mark>\n",
       ".</div></span>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "spacy.displacy.render(doc,style='ent')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "1b89ca1f-54b8-414e-a50f-0f8159aa6c71",
   "metadata": {},
   "outputs": [],
   "source": [
    "birthDates = [ent for ent in doc.ents if ent.label_ == \"DATE\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "id": "300f02e5-6de5-4dc6-b1d1-2eafc97799e9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[24 April 1973, 5 November 1988, 7 July 1981, 19 December 1974]"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "birthDates"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "995b3f3a-9157-40d6-a673-5b9a168752df",
   "metadata": {},
   "source": [
    "# NLP Pipeline\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "id": "3ac18ae5-4784-4343-b7eb-e78242a0abaf",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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k1/dqyUix1NZOl9nnIcOHIO8sHSG19RdIz0p73Kee7yUpM1IeffRIGT4E+dgnkKyMk9rm4+S2/xkhfXoh99+PtLQeI2edPlgA+fgNSDo9UyZOIKeQ+GawrFtzglx2iSP9+yC/+iVi/Bly6ewRAsj5s5GUHCFznj5KDh+LDOqPfO12LW2tI2Xp4mlWoCcmGqu87aoddTuF5FiBpCiFPDZnsNQ0HSnnnIeUlyKHjUfeXj5I5r4xTeIaOfsspLFtjKzfcoqcf4ErIw5BFizuLp6Mk3+/erpMGI9ccAFS0zJM/vwXK/AP6ofs2DFAmuqPlK98rpcM7oM88Wi5ZDJDZMOGU2X6aciEsciaTd3knVUnS8JFYg5yx7dGyswzkf49kSH9kMcei0lb2ywZP8YqLIeORpqbTpLb/rtSipKIG4RQrFx3lCxeeIYQRIuUFiGVZbY/3PQ5pMUbKW8vPF26l9rtv/6taXLWuUjPbsjAPsi99yK+OU9OPt4VBTKwL5JOjZB7f9JdKuPkFIennhsmK9bMlNKgX933QD+pa54h/3Nbb+nbAzlkGPKHP3WTtuwZ8vGPDRNAPv0ZJO1XysZNJ8kF5yeld0/kru8jGW+aXHNVr3e5X0ocpUXjigsyaiSyo3aQ3PUdLRUxpEghCY0sWjRBqrZNl6uuLJeePZDDj0Cef2mQbK05WyYcbvvDT36MNDceL1MnIg8+0lM2VZ0mM6eX5RSJo49BNmyfJE89N0SGDUO6VSKf/RxS33iCfOLGfhLTyL9fL5OUjJR/vnSqjDoEGTsamb8wIVXbT5fypD3Ogw8OkpqGc6S0yIZslRQhxUVISQly3kXI9uaRsnrDbBnYz25/65cmyNXXdpO+fZDevZCv3oaIHCc3XNNNAClKIju2TZG5L02W0hhSHCiCv/xNpexoni6DB9m///cHSJN/jNzzy6Nk+BCkTy/kf+8qkjZ/ivzsZ0cJIDPPRFrMKNlSPUU+e1Ol9O6O3PJFJGPOlDu/fbxVDJXuBM+7qBzoJQpqj4iIiOiShCHfmudfhHPPW8mR497guitf5pEH3+SIwxt48qmzGDoEmlqsPcU3RVTXOjS2lREHbvzUUAxbGTi4nB/ePZKf/HQIYw4tJVbUwGlnTLaOGl4xzfWH8IXPr2BbdTGPP2xQfjlPPNzEw3+DNevhlX9Vk4j5lJQGNTMxWhuH8uUvvsWa9fDoI9BQH2f7xgF84+ur2VYNDz8ESrXRrZcNPtCOdcQJXakMoFQvfvu7NTzwZ58t2+BHd0FbS5aBg7oD8OnPDaC2tohPXDefRUvibK5K8rU7DJvW+QVrMRTGeuSDencV6q6COI1Dx8Oxx2fwWzdx9aUDuPfe0dz25X7EjMdho3sw4XBQBoyX5He/XsVfH/FYvQpee7mWdGsZ375jKQsXFfPMP2DV6ir6D7CBydkseCbBWwsM3/5BNRu2wZw5jXjZfvz8pyt4+llYuATeerOOkrJGkkUOnp/g9q+uZNkiOGcWfPazPUnEYiSTNRw5sQRPoKEOHIrJZrvRlgLPt+vNJGMusSC3csyFbArqm+CEaXDHN46noWY8s854hnTaOkj9z1dfYME8uHC2y02f6k6/3jFEtjHt1CMRklTXQFY0zW2V1Gdi+KYyaOIYGoUIDBwGZ5w9mGfnrOdb39jO1hpYuzbO1R+pI5up5WOfOCIXv+CqXvzsR6t45K8ptu9I8vv/A8/LMHBI+bv0eoKgdIMQo7EefD9JOtWLpmycNoHzL4JDRil+/sN5/P6+RupqXd5eAF/5wkZcp55P/Nc0ABxXY9RGvn93CbPO7sW9P3+FOU834WI78rU39GRQr1biupE7vzuKn94zhpNPLCXuZDj//Ek4cYjHi2ht7sZHr3uOFatiLFkOTz2epqJCkYiHdQ6SGgRhWqk2aGuDYSPhf++aBOlxXHHBw2yqgqTr8N3vLOSpJ+uYcjxc//H+jBhZRNqr4syzBgHQlgKjK0ile9CcBc+348HPGhztEHMh4cANHz2C1cscPvPJ+axfX8KOGpdbPt/Gwre3MvuSYXQvg6wPSpXyzNMt/Ogn9Wyvdfnd/0Fzvc+gwRW2/tJxpERE7HuioPaIiIiILooEwaoKjatL2LbN44EHsjzwQC23Lqjlzu+X8bFPnsYttz5LPAGOE8MTAQzdekBpeRMtzUUUJ4dSVpJEvBRtTX155skK1m9sRGlQqojVK0MhXpHNgMl2Z+GCplw9Wlo8lEDSJqxCkaR6W5JNG8Aljm8yOLqCFcvSuX2MgNYdF9QrvDZobUuwbFlD7rOsB6I0mWwzAH36Jtm8Ic2O7QBFGJUFAdeNk82YXSSz3b1gpQBUG5Bl6AgoKvHZvKmE7uUjEEcwpjvb1iVYtyyGZEuIuS0oKWH+m0vy9ctCui3BW2/UATY8uC2tA+VI47oGIyWsXpMP2G9Lg5gKlixegl28Mo3naxwnjqOE0uI03/tBCReeewLZbJz6uiQNzXMxvocbswqU64Lg4brh1VqRX2udCzzPeEUIbRwzGX77x8NoaevO9FMeYcMWAIMGfvTDvlx66dEoKaWpTrF+0xwc7aLdFJBCFGg3FkR2xPD8woBxhdYwdhzE44ZFC7YEV20D4jGwbu0mkskkJcWgXcikFAvfymJFER+tQSmHtpTtW47j4PsdAvABxMY/mCDGBieGcuKY4G737adxdJy3FwRB36KBBCuWpmlpFnoHSjAKykrLKC+tYNnSOmadfwj/74cLqW/WeMDwoUlamlvRXi8qy7uT8g1J5yhefjHGmjXxIPg9iZ8ZyMqV89CqHCM1tDVDTGcJY8Hb97oYhiz9+sF9D4yjsmIg113+LHPfgLguJuW1ctMX4tz8uWnEYn1orCtm3doXMaaJTCaf9MAzBidmkwtkfNsPxAiOUoiB4SPA0a1sWldM2gNXC8Y4CB5rVzczfEQzJeW2blnPYdnSjeQidBzwfI9MJlJEIj48IoUkIiIioksixGNw9XVH8JvfLMDLNGFXYi8Cmli7EbJG4bp2dt4HRKdQ4gLFNDW1kEqVk0gUceE5c2nOtj96WSm4CoQY6VSYaSqLKDDEyWRbITdT7SIKPJOvm+fbjE5hQKzg09Jamzu+EcgaH+XY3EOiggIQ5LgCj1QqFeyhcVyDqIw1TwBNTR59+ngUFUFrJosyDhXlUFZRz44dlbn9wiUOtXIwsgsBl3D5CrvI3LYqSKeLeHXuZq69bl27HEVJBSmBQcMAislmwr0FI+DRQhhyn/Gxyw8rBzCgwHE02Uz+1SsChjY8v4VQkTA4+CaGow1X3FDOFTf05N4fvc43v1ZDfTNcdRVMOXY4okqALIXpjW1NpOD49lyOgr794YGHD8NlMJdc9CLvLHFAVYLU85HLfT72X0N58P7F3HbLWqq2wwknwinTE4iXAuI4KoMxBtexmca8dhmsJLewJJRwyOgKhEYUZSQcRdpP0adPT6qqKkil7KUKxXheXbC/TyYLKIdEzLZDocKjClVLJbazoEAZjDFoJ5+4YFuVwZg0h4wCnoSYLiFj6hg9FpLFQm2NH7QzNLQm+Ng1b1LRA+57uJxbbh/A57+4GYDabXFiyXK+etsCXp7bvq+UJMDzQETh6h72eNIWXAmIyvczKUif6+BTWgZ/engkQwcO5L+/9A6PP9FE0q0g4zUxchTc/q2jWfRGHTdc+RSr1sCoEbBkxegg0D/fHn42HLRBtrJgsVIRuzii4ybo1ac5yIpXhB0L1QwelqS5ycfLgutYJTCVylKoOhkR4skEEREfFpHLVkRERERXRcNHru7LwqXHcvEl0L9vG717NXHs8XDHd0aRyYzhF//vHwBkPCitaKWiewZUNa0Z+NMft1BakeUPf+nPsGFQVALDR8EfHz6ZM2cdiuNiBb3cm8LHaDBOBuXa9RTAzlSLNrmsREorlGMXHjSBoO6LwokV5+uu7J4SpFy14rRPbnYfm6VIhSlZ0RgNWZ1FlJ0pfuD36xnSL8Ft3+qF67QSc5v4/t3l9OidxhMnmEXPMHgADB0MvmQ7COx2i3yFrInnzbmwaIHmkqvG8amPw5De0KMEzpoJjz1zGQP7QtoDD4NvErn9wjSxOEFurLA9VP4MolK59TsIzi5KyPq5RsEzSXwDvoFEURojbWzYWENNMyRj8LkvjMRnKy3ZOkDIepAxHgMGNSJAt/JMcL4sTnDvevVp4/FnS+nRu55PffRJXnihAZuWuAbwKSnR+LSxYdMmNmy3Cumddw3CsBXH2QZkUNj0tqMPSwNtxONWWRRlMCqF0rByKcx9eQfnXTyMCy4En0bSfgP3PVBJafkgHnygmqyx1qQWT6ymRKiAgK+8wKJhUwhPODJckLHgrokJ1rlxQcC4tfQbUgdkKIvDnEehamsJN91yFEceCRlTR2U5fPVrPXGcXjx4/+KwN+P5JezYkeAfz8Djj23g8hsrOW6KPc+vf7UG5Sa562eDmTwJSpJwyHD43vcGcdPNJ+eyaGkd9iFrAcxqyCqFUWEvs+uYaAUJ13Dvbys5enKcH931JD/72QoAUl4DBkPfnlAUT7Nly0pWrbE94vO3uDi6BTdWn+s3WrsMHNxEeRKK4qHlxNqIfA/SAn/64yYmTqzklq8kSPs1eFTzxVth3IRBLHwrTtV28H07xk1O2bFWSyMmyJsREfHhECkkEREREV0ShZeFR/6ygLKyJL//40ksWXUcS9ccxz+enU4iPoxPfPR5lq+yW//7X5CMl/DW4hNYvfHzDB82gC9/pY6XXowz/YwhvL1kIlurT2DB2zOYcvQgdmzfhm8gk0li/CA4JBSk1UDS2RihAGakApFuOYHRSCXG7x8I5FZY86U7voRWi8CGoHpjghl8AcT0xBAjXL9DpA9KJ3PnNoBvBiLBig73/ASefK6G6z8xlurWM9neeAkTxh1G9Y4ijOQtQw8/NosHHrySZMfFygtmro1UgsnX7zMfW8fGDYYf/b+TWbT2GDbUzuCBR2ZSVlZKU1MoJHdH6TgQCOYosl6y3boNIpUgNibCACK9QUoKvgelBmGkONe+vinBmFIcp5gHH0hTVVXJbXceybp1J7Nl6/UsWrCZ1rYYd//8fG79yok0NcOWKp9rPjqcbTUX87N7Pp27LxnPXtNnvjCIw8eUk0m38vlbRrLknZN4Y+ExvDr/RP780DX84XeGNSuK+fwXJ7J540ms33gF9dVCfZPh4zdP4c7vXEFbGt56Qzj9zJ5sa7yAP//1Ynse0wtfultB1sAnr1/M+jU+v73vVOrqZlJXN51zzzmdOU9ovn3nXMCxSprbP7CQZQAHXwApxc/aG3XF9ZU898pHmXZaaf52BS0peCg0DQ2wfm05531kIPWtl/Hje06mIQXXX/UqsVgl/3zlVGobZ7Bl2zlMnXQCP7pzJc88vxEA7RTjuL0RXDTFfP3LTTS3evzoF6cTA557EX743bWMGjmYp144hlWbJvHmkml89JOn0NjYivHAmHJ8UxTUS+f6nE9xXiGREsT0IOvB+RfDBRcMJt3WxvkXjOL1t47h9bem8uq8abz4/M289Ar88+k2LrxwIlXbT6e6+gomHHYkm9aXcPrZvZjz5NUAzH1tKwOGtbKp5lxeevV2knEwUo6YPkE8VpzP/lcd815Lcfv/TKGh8Uxqa8/kjq/P5O15/bnk/DnElGPHlF+OkXBwSKCQJPD9cOxFRHzwRC5bEREREV0UY+DuH2zlvl9vZfaFxZx08jgcpwcLFzTwwP2vsGFzfiHB394Drmzl+OOHsW7DfNas3QbAqdNe56zpCa64cgJaZ1i6pIFf3fsU23aA48BzT8VYtz7vu761Cv7+SG/WrV+SW/hw4XzNE38VGuqTQIq5LyXoVpnBuv8bsil4ak4Jby9I5Y6zaR089Vg5mzbYWd+V78R5+u8l1NQkgQwb1lfw+N9ibNkUuo0IDTXw9BNJqjaV2ev3Epx92hqu+WgD004by4rFdfzwO3NZsHgcban8ud6ev4bDDp1Eu5AHgoYJlIBXX0xSUlSKwsXRhkWLDFMmvM01Nw5i8jFjqK/3ef65BTzx6Bxa0rB9Kzz5hFBVlReTF77Zn24llaRTAGnEg38/O5iYsgJrczM8+ViSRQvy7bluNTzxaJaaHbonpZIAACAASURBVEWAjY2Z/2o3Ms0ujY1pquvguElL+dwthzJiSF/+OedF7vlNK19dkuGwCSkWzd9ISyucN+slbr55LCUldfz5IbtQxpNzKkg12HMvXlzGI3/thaMUWmt8X+PjYXCo2uLTkoYTJ7/KTTcPYdJR43j5xUV878eb+PwXR3DYEc289voOBLjo/EX899eOwimu5+k5tg/Nf20gK5ZlSGfA0THWrsty0jH/5sKLu3PKaeOpr/f4y0Mv8+wLrcQdl4zvsXJpCf94NEn1thhh7ExzI/z9kTLWrLQK3PLl9dTX1+PGdp47VUpAhHQGrrhwFTd9fhzdKur4619XAvD8i3D4oc9z4yeGMn7cUKo21PGH383j7Xes4OMBC17rRb+eMZpafBQZ1m6E279Yw6xZRzN16iT+9eob3Pqlbfz14W1cd/1kevSsYMWKeh64/3csXAJxB155vhereoQKqO1Lq5b24NnHepFJ2zO9/Xo5eIZ0FjZsTPDIX3qiVAXGWJdI7TpoSmhttEe58KwlXPuxdZxw4iSWLnyb7397EbPOK2XWxVP599zlAFx68Xy+fsdYBgxo5fV5b5DKwKIF3ZnTLUZdCxgnS1MLnDhlHrMvqOCscybg6CIefeQd/vq3TShdQlZa2LEd/v5ILzas6Q5sAXxam+GZOcXMfytcKFLau8xFRHwAKBXZ5CIiIiK6HPbBrUDHUEYhpNp976oERqwFI1w9uzB6wtEOxviAg9A+rqIwNFphhTeNRivT7jgJR+H7Gq9gf43G5ILtFY4Dnl/4mgmFy3xkhnYcjF+waneHJd6dQK2SXBi/XXN74CCrIKULFI3Rg+HVBcOZ849Srrh8IQCXXKgYP34i/337G2h0cCQbg6DxiWlIm/Da7ck14BZ8HhJTcYxk2jl7oTSJmCad6ajxFFyDUvgF2Yo0Lob228ccjUaTDjQnR7kY8XYKxdfaKqP59nHwO66+rmIgHQKD3oWk45DxnWAFdUvcdcl4BXEcOlxtvqDOWpMNPtMOmF2H6AT7A8Z6aXkFF6WAWCyOl80UONA5OEmf3953Hp+76W9sryqMIwl7fwylNb5JU4jSCozG0YLXob4OCXzSFHYxjR0jSjlkCy4g6cbxPL9d/85dt4qjtOQCyuM6RsaELoHBcYPq7s1C50WJBKl0ut09d3VhfBZWoxLaDWjHdfHDe6VccDzwgyivDudPOHE8H3DCSYPCAytcsrmeqZQOXOQihSTigyVy2YqIiIjoglhxWlAmg/XvL/yn8cUKd5KLZVDEUDhBMcYPnZUCf/z8PwlWcQYCT/0wWNae1UHjoMn6gsHgBNuoQBzTueMIvi8d6ma3shEo9i9j/OAYdk9yyoGNLzC5sG2FIo4mjg+MPwr+/eaRXHUl9O8LZ0yH3z9UjHb6cM/PFxK+4g497BTuv/+NdiJVmIFLsMKeiyKWU3zsFhmjgrYJi8KXbFAz2462joZ0xsPNXVPheYJrFII7Y9tOMIRHd4Kfni9kfVOwj7/TvVEoxOTvs0YFx8rX0UaMewWtHdZEE6ROC7SD/HVkfIMhS14N1WQ8P7cvKMSEalyYP0vhm3x9xW/fB8Pj5Pe3R/OlY2+AbDYT3F8HSCD4HD4hyYI3m9leFdRCBZaRAMHHmGzB3Qz6qbGqq2ekw3caQzbom+TGgkIhojDG5D7TKNJeNnAUzF9v2OpGsvi+F/Qb1S7AP2xTEZsKOTweOxXdoSja0pmcshx+7hlo16aeAj/ft0Dhe37+uGIC/0Awotod3yZbyGLIYvz290Fh0PhIcE2aYCYjIuJDILKQRERERBzwSG5dDvMeWxYSijLtrAEBHWezwjxP7eewd09HO0koLr3LBHvBka2yM2oU/PEvoxk5ogduvB4jHjVb+vOd76zlnnvWk3Qdsp5PSbFLa6sXnEu3y0IVXueezP/uau2Swm/z6sm7s6dttCfs7bF2XnulcyIIrmstQQrQ2t5L6JBxaz/Rsc9Y+T/v2lRogSm0mkREROyaSCGJiIiIOEjo4Am13+lYnz0T3KxConHxyZJMwNFTXEYOL6GlOcY/X2hg245scHwXZfN85fbMn6k9oYD5n7TPvjjGB0379tWoTlfbsIYKm8JagLYO2+x/hSSk8J4XKuQRERF7R6SQRERERER0IazDl+CjiKNwMTmB1QmKDwWxEKE1Rgp+O1gJ3dFCt6XOp5AAgUNVPoKpI5HYHxFxoBFl2YqIiIiI6GKEQbZ+QdxDqGx4tAuYJxRfg/iCg1gZsTmdrF3EC2xHnXNWf1e2ss5Xy4iIiH1HZCGJiIiIiOiitMtpFAQDW+eZ8K/Cbd89BuTARge51GLYFrIqm0PndjCLiIg4WIiybEVEREREdFEK1QuDddUygTLSMafWwUlhCmdUgmyPw1DFpUHLHazqWURERGcjUkgiIiIiIroo0q6oAqtI+MnBbhlpd+Xa4bDv/R+VR50A2PUtlHJQSgdFHTClfc/Y8xIREbF/iGJIIiIiIiK6KLu2fBTGiezLFLv7EqV2b7WRfbj2Q+jE5gLZeAKvuA9ZpwQgt6Bh3vWts7XSvuK9ruvgtaBFRHQWIoUk4n0R5VWPiIjovEQCZojGOrIpADeOXYlb5daXkcAysiuFZF8qRvsNEchdY+HHu7m2A+GaIyK6IB+IQrIrYTUa4gcOhSscR0RERHQudg5mjwie1yr00lZBTInGfxdLTaEQ39WVk53qv0fXE73pLLta8jQaVxH7lg9AIVHtfiscztGw7urYGTQJfLIj9o6OIbaqw6dh6+7cttGD/+AmGm3/CQeyI9KeEDpleQCZFsqMUGsEDwfEBzGQt5fsr2p+sOyFMlW4pcLGoyAHR7rond80hVd94F9/xPsn7CnqP5BX9qlCIkEu+DCQMBS6Ch91UZfu2khwFw0+QKSa7AWFw7T92gj5v0w7lSQcMdEs3cFKNJmzN6iC9uq4Znr7mJLOoOK/ex323R0X7FvZKIXOpqj67TdpW/U2YNBaYYRAYI96GZBbMNK+7Yz1+CpYSPJAbac9Hxd2YdJdRWd1hnEV8eESyoSqYNHZ96u8v+91SCRQP/IhcQqULpiIaG8psftEdF1UroSZbGw3tGk2VSQ0vydWPCp4eCuNUg7GdFRAKPg73BOi9j24UGhQ4GiN73topfHFL/g+ev23RxXYb/Uu2kchqvOMog8rqL3DScH4gUjpYFCYdsk23/u871bvzkS+Dfc0oF3seAN88Q66ybZCq33hpFjurVR426VQfRE6i5If8eGilYOR9n1FQa4z7O1zbI8VkrwxJj/rFEPI7NXpIg4sYrnQSNsVvUgxAXZn0VBItARZxD5CFYYl7+/KfMCEEyB5S2LhYn4HgytNxP4j7++xKztbVxp/+eeF0D49dhhTpAjtQhER/xk6mFDbG6Vkj1y22um/jkJ8e4IMcOKh/Zg69RgOGTacnr37MnhAf8TL5vZIJhI4WpNJZzC+j6M0Win0LmZZJFKxP1TE7FlHUUphxFBdXc3mzVW8s2oNT704jzc3bA404qLAgKsxpO2x2x2hUJDoSg/w94MQAzIIEIcClX1Mpcuxk6dw5OGH061HbwYOGkRpUQxXK1yt0Y7OvfbaTUZJ/vVgJHpVHAwopWhubmZ79Xa2bN3OO6vW8o/nX2ZZdUOwhSD4OAf4GhvhXG1+Di60y1srCBjKNRx79DhmHDuJbr0H0K1HT3r36k4ykQj2kdxLMRxXXWWW/z9FAY4IRsAR8FWCZmKU+llwPTylreCAbZOwnXI/w+N0qfba8xGRm/kXhSjBF2HDxo1s3LiRVStW8NK/XmbR1kbbC904eJkCy1uhW2DnH4GhS42x0UQdiFlLmfbBZAEYUQRTjj6aKUcfzYB+venRvTv9+vUBDNlsFi3hfHiw9kv4V5fqKxHvl5aWVrZUbWF7TS0Llq7gny+9xoLttbnvDRKYO3Y1NgqXa83LNO9pIQlFI43J7Ta6MslHr72SsZOOpqG2nvkrVrBi3Ua21zeyZUs1fqCwIPkHm6Nsdw2VkV11Wt35x/QBxZ5qroKglaZHzx7079+HCUMGMHJwf/r37sFT/3yJ39z/J7amPazFRMFOdrODSyFxFPjKxoomgPNPnMQ1l10Grmbhyg2s2LCV7TW1rNuwgZa2VitkSeggsLObSbvA91wAasSBjKM1xcXF9OzenUF9ejJqcD8mjR1JScLh0b/P4VcPPkYDu5u9PZCQdkIjBQrJsSMGcO3119Nn6AhW7GhlVVUdW2ubqW4Rmpub8X0frTRGDCLS5bNEvT8kp7LGRdGYKMMbegixrZtwmqtxlAuy6/dxfm+F1u/uXlbYtLtr5w9VUFXvZ+LGvuf6VFYwoDzBmN5FjBnUE8er4+G//J3HnvonDcYK8yoXRxH2R/9djttZcLB1Ne3exqG7vREfF7hgyhiu/MjVqKIKVq7bzOING9hYtZlt26ppamrE+OAbwXUctHZRYkOQjJHcODs4x9rBg+M4VFSU069ff3p3K2fCsB6MHDKIEuXwl8ee4sGnn6XGGLTrYHw/9IYsYC8Uko6GSEcpRAyVGm686lxOPP4kXp33Ni+8tojtjVlaMLhFccRVeKpwrdz88VTwVlHA7p5t7y+aJeL9sjcPDWMMxtgAv4QYSkyKXgnF2aefxJjRh/DCq6/z0989RBp7f027DliokOSOuE+uoTMidgkyzpo8nGuvuJLaFnjshddZvm4z2WwGpRw0EIvF8cXBUw6idqdkBGpKu5d5NAN1YJO/58bL4nktmGwGpTUDevfkypMnMXr0CP72+GPc//izNBpwlGMF7/1c832NAozKT3AlgLH9y7nxUzdRMXQ0T8xdxsK1dbRmNGknhnI1qATKcbEzt+wsJMmBqrztGqPs7EhcYHNpN7qfOYvU/DeIrV9GsVZoE7wLgglEpVTOETyXoOY94l1ybnOyswvd/pkxf3/vF42VQzQeeK3gpRjTq5TZRw6nbzLNH/76F/707CvBtjb+RuUE/c6tlEgYIyN51cSDIGgGThs9gGuvv4ZWFWPOC6+yeM1mWjI+ojRaubhODDfm0H70BE7awYRafowdTCPsICQwKhjfR3wPTCuKNob2reSyM2bSr7wHf/jLX3nkpVcQB3wTPFJ2ijHfQ4XE5DZWgMeI3mV8+44vsWbdRh575hV2NAmiiwAHm3PJB/HRbgyldy1cKdNeuIq06P3LHltIxE6BiAhojevaWUfje7iZBvp1S3L26acwqF83vvzf32BdU37f0L62sxB94FhK2ocAQinwpesuZ+ThY3ngubm8smQNxSXd8X1DTPkoP4MWUKIQpe187+5e2jbFS7uXehTMfIDR4Xbm3+l23NnYIw3aAQVupp6h3Yq57KzTSSbifPa2O6jOgoMOsrQdGORncQUHKzddNO0YLrn6BuYs3sicpVW0qkoSThElnoePh7jBAnhGApdUyb08Q0JX1YPl/SM4ViFBsb68FxXnXIi8/jqxVfNJxgWMk2sryblYWKVEcu5cBRl0dtFu79WUH65SIu9/dlOsA5tRgq88EEhmfbTUMbRnjNknHEbdplXc9o0fkzHgaAdjrDuUBNaHzkqokCgBBzdX37iCGy6fySnHn8CjT83lpSWr8FwHF43JWiujBAlY8gtows7WeyK/+4ME68Yfmh4ErXzEyyDap9RPceTgQcw8czobt2/lGz+8m0YTjIzcRPUeKCShQdxHIehgfsRnxuG9+fQnPs2cV1bx3Ny3yWqNIZbznLSTKV7uoaR2M9sbhmEWYnYnh3GgiKsHDu3zalhVVMSAn8bNNnLWtBM49thJ3P6t7/LO2q1BgJK7GyHpwLnDThA9I0A58I2v3IRT1oNfPPAkNc0+TlESSAVjRWOMj1I2BkDlRlCopIdHDWcm258p4kClw6xjzp9fUAXSnkLjKDBeCifbwuWzTuLQ4UP4ynd+wMqt9RA8t7squ3pz2Aky4bpzT+Hk2dfyuxeWs3JbKylRFCfiZLJZNBqtDVprDPEgc1THdiicCJNdCtEHov+7NoJyDHFRrK3oTfk5s8nOnUvJ6gW4eLhSlNs2F28TKsWBx0PeLfD9961c237g3VPep8uW3TevcFkJR5TgiBCTLD10Ex+ZMoCy7Dbu+O4vWN9irSIuMUwwNdsZe1AYJ2SvSINySDiGtJfhtpuvYdCwUdz964dobAOl3Z0i06yMp3ahjO6cX+tAHEMRO6PCqdhw3kesXONog/htVMYUV5x/NslEjM/ffictWM8Z2xOtpS2v1ATH7Ggh0UEHk8D8eOKo3nzm5v/ivsdfZvHqrfgqjqCsIiE6N/BVLth25w6aP9mez+0K1g8/onOiAS2BaV8EhYefaeXwkYO4/vxZfPYrX2FtTTNKxdqb9HMcKAqJRuFiSFMM3PWVz9DoxbnvsafJOA5KgS+hcBSo/GZXM2m7HzcRByFCkKI2nxnHPsiDdLZKQGnwmzhtwiGcMvkoPvX1b7O9MY2N5fJoP5PZNdi1QiJcMX0qp11yHf/v6SVsSsXRuPieh0HjIcRjDnERHPHxcHOttStkN8rIgYwSn6Qo1lb0pPu5s0m9MY+SlQtJZDNkHRUYRDooHWKjDYT2Ae+7PD6qE3WzPX237P0z1xWfymw1543vySE9FJ/88vdoFvAFlIoj4qM6pZVEB25aGqNsDIDvpbjtphvpNaA/P7n3jxinwroOSzjVvLPr3XspJLtKVhRxcGBfSdZS6BsPMRmKtM+sacdy2Iih3PCF29Bxh6xnUKJQSuOb8AkTHKOjQuKgcB1NxvcYWh7jB9/+Oo//ax5PvbkCJxFHi8Hacq1wFWreeg8UEt5DIdmdtSSicyHYe2Ww/qj5mS9D3KQ46/BDOfnEKVx98600+TYzlJGOiQYPHIlAVAwlGb5+4+X0HXUod93zMCSLELKoIKDWJrRT+NZRG6PyrXDgtETEvkLE4CodPGfbKyQQePcrjScG1dbAR06bwuChvfjkbXeRFRelBKTQp71rPFwL1YjQMjL9mCO5/uM38aNnV7GhKYNWHuK7iHJQgKvtXJ2ReBC/xbvOkBdaAA4GDApEiBlFdWkFg88+hx3zXiW2eS3xTNa6JgXdo+Mbem+eT51LFv1PlIJdK7PhKIwp6J7ZyuXH9SWRqufT37wbH00466s6ZSyJVUg8AGWDjD917nmcdNYsbvvx3aR8jRIXkOA+7p1CUphlK+LgxE65WmOFKOzEq0kTkxQfu/QCTKqFW793NwZQ2kFJaLHOjxdHob6WP6TNHOGLRwz4n8/eyOJ1O3hxwRpEKZQyaHyUhKFu+dgAX1khyygVFHYqspvPc98Tla5QwrueUy9U+OhSoONsWL+RfkWK46ZM5qnXXkfp2AFnxhUoePr6nDC0J+dcMJvb7v49JJI4jsYYwYiDj4OgKUyfHT6+rRtjVKLSsRTGXbXvM+36IC5+IsmqDeuZfOgIBvfvxbxFS4O4o8Ie27XGX+jeGwO+9LXv8uDLK1hTk8HVNrORo2NoMWil8VAYFUOURpQgyjqJ7u4fSLDdgV9QgigwGJSykaV+JoWu2YSkWkA5aB08n5RqV9DaWuH2sIQZuTpH4X3vu7uRorATcCIObU6clWs3M2PKFLK1m1m6cTMQR3XSFMCCwuBYZUTBmMo4t3/xNr56549p0QkEB4e8lUvtVEIrWvv3f7hMcqSQRLRHobRCaRcfzeLFSznnzOnolhqWrNuMVvHAHTRcgNT2nHZTAQK55L4TD+lLj0GDeP7NhbRlNZAEidvZYOUGAU5Yv0IVuGO9R4FAeN1NiegadHzkBu89+52AFy/joRfmMWniEYzuXYFvMkhg/Nc5taaLk3v6CnHgmqs+woP/WkjWSaBw8D2DBK5aIhJYiYJCZw59jOicqGBV7XD8he41BkSRMi5/fuJZpp9yCr2LY0EqTs2uE0p0XsKng0HIIlx50QVsakqzuLqNtI5hlA1v90VyTxOFzQIp4iOSBfHspNnuCoHL6UFQ7LUqtML6d/sZvGVvEm+owVW2N9m8GQotul1RwVSn7GHZ/1fb/qr3toT/3g1f2clXD5dmt4y/vfQK115/NXEA0nTWJ7t9AjigXTBw68dv5J6HH2arD1rFcQkmnJXNqqqVRiunoASto5xA9guLPuAmGyPeH+0lO7GJRQSUimF0kj89+CgXnjeLMqy7vwAdfWc7jD5BBzmqL734Yp59+Q3qWzJIGCeCRomL4GJwMMELYWd9eveEwuuuSkTXR0TIoGhRCeY8+TQfv/4qwOYo10ofCKpI/hqCX04cO5RYRU9een0+8WQRYBcis6lGo4d1xL7HCu3WdUuLgBNnY20Lby1cxKWzzw0sAe8eS9GZcYDesTjnXXQ5z81fhXGTuK7T7vlhZ9h0IH7ad1de/TJRCUOYReGKtboppUjqBHE7Hx74/Afbqp2LTWzb1Yq8LzVmTwjtKMYIWZ3k7a2t1NS3cfGMaXQUyToT1o3MBz/L+CE9GHLoeF6av4hkSQnipwjdzP6Tt1X4TIrKwVkKKZTnjQFRCZav2UBTWxuXzDoNT1K7HCrtxqFNLymM7FPGoCFDmb94FTgxrDHWDx724SO/o/IRGewiAKXIAhk3ycvz3uTIsaPoVeLY+V215w/+rkBo3L/0vPP5x7/mIW4CIzZzRJjPP5o9ivigUYARjYmX8Pdn/sn0U0/OpcntrALSu2FTqggnTT2atdvqWb69jbQojOmMvvmdH6MMjp2OxEfTLC6prNiAUrW/HYA7X3m3SVM7mmz8VsbEaXN68I95y/noNZcGrd0Zx1uYpsCuwH71RbP50z+eJ+sWkc2kA9trx9XjIiL2EVqT8QXiRTzz/IvMOGmy/dyJEyNGu6QIhfspIA4cPfEoVm+upjFrZwLsYFQo0UEgStR1I3aHoLSPrxTVbT6r1qzn+ElH2Ee9f2AIFGHMn4ihv1b07jeA5euriMfcwG1EomwjER8KVoQSHAXaiVPfZmhrbOaoQwYBmWCrrtcXFXDKqacxb9lGfCdJbh2kiL1EEEyQsVLIOBoZPgK/orLgGfVeQnpEIULgoo4iEythVY0HqRRDepd36tZS2LT0Y8eMYu47a0gWlWJtjn5OZYmI2JcoIVjiwGB0jNUbq4jHY/TpVgxedqc3k4a8/qyxppejJ05i4dJVeOKilUYRBsaFvsvvViIObgxaGUQp4uW9mDd/MVMmHglYf/cDYS3pXJAfMHb0YOqammhubsVVYnP+hxtFL/SIDwkJsthlfFixeDFHHzEWn9BVo+v1wSRwyNjxrNhcTVEshhJBC4gxHdbqiXh3BKMMnrLh2hnXoXTSUZgePezyyX7YPyJlZE8JW0UrjaditOkilm/YwdSJRwH5d0PnIYw3E/r1rcB1NNt2NCEG6+7Z6eobcSARKiU+0OY7VG2rZtpxU4C0XVC9gJyFJHQtcYDKyp5s3laL0k5uAx/w1XsFjUUdOyIMoxSyOFQ3NNG/X/8DtmeMHDGCTdtq8VUscKIVVKDmRy/0iA8TEYUTL2Ljli2MGzfGfraf6/R+UMDQARVsb2ihrlWhfBtsGwak57eKeG/arwHlaYemRDFeEJPT/lkVlT0ZMXZCKkiOIAKOy4YdzRw5evh77rt/yDtkjR9/KKvXbCCeKAXjBWkyosnkiA8SAWUwCrIqyfotVQzuUQlY21whusNulAGxeIKmllYUIMbOvtlVSMO1JN7NMhIpKAcvCnBAbMAkDmyvq6e0pJRk7vsDi549e1Bd2wg6hpggh7sKrY7Rgz7iw0MphXJibNm2nd59eoef7tc6vV8qyyrIiqFVOZhgYszq+/YFpqJkEXuI9W5wBFAGD4USF200Wd/HM9bvISp7rpCE7QoSxGlBVW0Dg/r338N9P2wUBOvzDOjfh6pttaA1gk/uhbVX1x4RsfeIUvjKpaahkcF9egLguvF222gIu6N9wBcnoKg4Rl19nV0IBwki6G02F7XLTisdfo8698FKqLAqMcQcTX1dPeUVFbjafneghc5VdutGbX09SjtWCQn9slU4Cg6s643ovIgIjtbsqKune2Xl/q7O+0YBxfFS2lIZWozgaRWkj1TBO4koTfweo4L/gze5EWKiECU42kFpuxheVPJlz5cmUP+fvfOOs6uo+/97Zs45t23fzaYT0klCQkAIEBABH5EmIkUFBUEpCghSBClSBZ7IA4goIiKo/MCCRggo0kSqIBAjCQRI79v73nbOzPz+OOfe3Q0BQpNkcz+8Nty7e8ucOTPz7Z9veM4LQU82g5dKvac7899FqI8NqRtKU0s7BW9zoWNPCSV8dOgzei2Wrq5uqqsS4Z+CgWuvzyCx4ZNYDJTS+L6PKggAEYYmpS20eX8nj8L78TaUMGhQ0MeFAK3JZ/MkEkmUGnzGCEAiHieTzeEbg3TcqJst0Y/YmGZ7q0Yp3rPlQyLI+QFlyeTHPZT3DQHEXAlCYaUXOcT697z4eMe3dUGGzfxEWE0U05qaIIdrfbAhW1SpJvT9oI9cWiPp7O2lunZLdgKEu6giVYW2AikFusRaV8J/ERaLMQFdXV0kkmFy1jumbCnAdUBKi3LCP5ni6f920ZESStgELH0CzxYK/QZfGp+UEj8ICHSh2FZE/UdsP5N8cJAdD647N0ghJNqCUmEyydZ6z0R4aCCFjFzTJUX5/UJF7Jgah7IgoOuFZ6GpAWvBmIB3NkhKc/1OsBDuN8fFUc7HPZx3QKS7WVl0nG0tKK3CQQRh0VrjqEIL0oF31rH9/NZCglJ9wswYgxIShBjALFRCCe8GsdG/A4tRCzmrWz+ssYBECBlSZL+lRRCUjtMS/psYHDurhA8LwoaOICMU5YEmWLoYB4vvWKSwRUdKCe8dgjDasLVE7YQQ5P38u7+whBI+ZEghEEKiXLfontYbGySbeqMQIlK0KObsllDCe8O24dew1hYvM2yG+PGOp4QSSijhrQjPY2UNymgcYa/TTQAAIABJREFUxyFvNUJQMkg+MMKouJBbwxyW+vmU8PGgUAP4TjrSJg0Sa/sVD35EgyuhhK0Z2+q+KHGylFDC1oiw/jOjFN0yQTkaV3phZJdSLcH7Rv+aydKBWEIJ7wpTcOACFvMWjt6BsOE/RWu/ZE2XUMLbYlvcHWozLnrbiI+VUMKWDy3CNFLXBnQ6DnbazuSqawEDdlP9xPr/lPBOEAM4Skv4qFCSJ4MLb3cv3xIhGYw3XgqJKdR09bs48RbFylLy/34UGLzzuXl7pX/zqU3VmBRQoJ3sUwTeukY/PggLAlnsvPrOyZyWkKVfwKD1wBbOixI+alg7UOl7334ysa1WQhoUPjmpGD7zE/jpboLW9ThOLDJK7JZ12GxtKOXqfkQQCCSh3AzrNTc2lAcSxxiE1BQVvo9oTAPP/cGr33xksJuWnI4oKuD9X9zvhg+CjSYk5NLdaO2jHBdrRFTpr4pnsOu5gMRx5EYMScVPoaR8vBssfco3FOdsEAq6/rvmnY+jkBgSXMAQBBl8P4/jqGiaLMYYMAVGeANIrFEoN0bMjX+0F7KZkBHLnrCQSaeRjn0LZR/0hWGl9IjFKtDWRsbL5sPYdzLaPm4UxmbJ5nqJxZI4Mo4xusTn/wHQf+5Cgr6Iqc4WFBH62X8RWcYgkE3/TQgbsgKmlYMQ4IiosFRsyfuthA8T0lJkNyr8tyViQGqw0Vhy5PJpsCqiqoaiERLpq9YKkIJkKtavifdHMTLZ73HhUOp3TpXwvrEl89R9YAjAkYq21iaOOGI/XJUHI7HGQSmFkhKMxdeWprZO5i9YjPY10nHp68H6XrGxeloKe8PgyvwLa0DFOzrIB951hUEiMMzeYyZDassxxiBsuFYKCruMWJENCmsVLW09/OuFRSDVR3TU9VdENsPgFpZUwvKZ/T+JI/pyQSFa9aLwiZLejOXZ5/4TffLmsaqFImRLEpADFbWQTSesAo4nHPb51F4sXbKWNWuaUcoZRNxxWx6ECNmMwr5YfdTaJbw7iuqTECilsCZAAUq+XxlXwtYKEXVmLzZo35KO27eB1j7DR1Sw80674DoSKVQ4dCsjAyuMoPgaGpp7mP/vRSAc9EfisOhzuhYyBDblvi7hbdDPodTvF0UMNEjspl+0NcMaQ3vTBuZceQ6u9IkpD+W4IDUYP/JMSzq7NWsbe/j1PXP5/b3ziCUrCAKLlPI9sNRapLQEQZ50uhcpJclU5cCI09uiMOeDaWH3v6bB1RG20ADxXZdGIUdbCLLZbk464UvsPXssNtC4EeOEsRqBjRQuMELha8H8/7zG8c/Nx4j4RxCpNORyaQLtE4slcB03VLbfRkppDcq11NZ5zJlzFq6yIY2fFOgougNgkViSLFnWxeN/P4F4IoGUYAY04QotuXDuws7IWIHv+wRBQCwWAz5mD7gwWKvJZnpxvRjxWDzqFi7xszmO+sqhnH3213j6qVf57nlXYuxAEpC3eOfsO6//d7rSwbNrPhhCA6Rk9n1YCKzBtWYwifsS3g5FZ77ox3YkomjDlmrch7Io5/cydcoUrvvhhVibJxY5fwKdx8EiIzmsTSUvvbKeb5z8bZDORs6tvscW2y8C+96v25iAnp5uPNfF80J98qOZvsGlE9qoY3RB7ofYDNrfwQILaAFCCkQmRywhWLtuA8tXNaMcDyTEY4ra6jJGjKpn2uQarrjoG0yeMIEr//dHxOLlYcM7ERC2jXT6fXLYFbnQwCs0/CxKSYbV1/G5Q49j5Zp1PPLIk5FyEk68fcvh35fe1JfZNDgWYAEDN/3WL/0GBoPf7Xr6gs+e57Fi5RqG1CaweZ+YEChXMna74SilWLOmke6eHgwShEfrhjSBEEjRp+raSEkXtq/WSRS/Y1MH2KbGZwDDZz69N5OmTObhhx9n7bomMGG62CYWKdYKjPGJx2K4ToZ0t+LNJavI5QO0DQaMyUjFmvUZXEdhrQ0/tn9tlrCFMBOIIHqomDhxLJ/+9L6sW9fA7++dS3l5RXh9A7ZDQSntH9Tf+Jr7jJl3Ejj2bQ2eMPw+ZGgdBx5wBN1dPcyb9zCFNAet83iuQAifZFyC9QnPhgLlTuHA7fv8KKkgMvpgU/dKDHi+iXvwtleybcDagmODokL1/j5j24ItpOZYibCGmAmwVoOVYUpcKVCyzWBrk742SvlWIiAmLT09ORYsWkg2G4RGhy00W7a4bopFi9eRMxaE6SdnwtdsvPdD7W1j+bEpOWqjv4TGW319NV//+jF0d3Uzd+6DWAtW6Oh9hTKAjWssN575gc/tW571l3F96WAbi+atKRu+6E6y9m2F2aA2SCBcdIG2COGhFDzx1Cuc//0fU1FVFXotpcU3WfbcbWd+eMW5DB8W4/hjP8PiJUv449yHcLwUBoUQCqwiXNxBmE8/4HtC60/nM0zafgTnf+dL/OWR53noL08jlUQIU3hVhEJedLiIKRZuDY4CYCFEpKD2YctLyfngePersSA04X2V/PD62zBBn+I6uj7FvffcQE1VHWeccyPzX1+N50hirgdWI6QT9TcpWL1BeEwJQV8Ha1tUOEIlX1Pc/najfFcBAkWQC/jS0Xux3/6f5aV/vcjKla0o1c9oeMuV2aKHzdgYvgn40rHn4cSrMaIHYZ3owI6C2lbgOA5Smuh5P4XbGuhX8C6FQPs5Jk2q4jvfOYT/LFjFT2++hfKyagRBv7HraHQKIVwEDtg8lqDfOMP9U/D+SSTWbLouRbztuShBSKoqyzjnrKNYuqSbP899DKkMUkAi6fHn+/5Gd3eehQvfwNfguqHxZSNjRBb3cWH+C/do099pi/8W7oEpzqcUst9r3gVbdP3Ne0Of0SGKzwvYFg2L9wuLQQuIGUU814P556PIhnYcoTAElBi1SthSEar1oZKvEOQzkuOOuQw3UY7Gx8q+9E0hQElAueH50D+neKMoUNjW4u0cixvLvr6e4sJCdbnk9FM+R29G8bNbf8WQ+jEIkQtHK1ysCYAAYQ1WhHU7fXusv9tJFGVqn25YkBvFkFa/8dh+Mr/wjq38HNyILvtdDZKtP0BuscaEK9URxBJxhOsgPBdhwWCISYeX57/KAZ89mhef+zOJ8gzf+fZJ3PvHB8FYlHX6hTYDisspWhsWE9IkW8D4uEZCIPGkwfgGJQRhw3uLNFFXb+vTt/hcBKqYvrJ1z/e2hU0EE94eQiCki5FBMXyZMwEoiZWCQAqkozBKEIiogkEIEKZoyMl+h+xAB7HFCh19rkQUFX6i9KMgMhDDFKt8LktFvBLyAWUJD1cYjAkVQPO2DR4LXlYwWJTnYpVEOC4St6hwg0BaG3phiYwjKxBSIgVoA9aaiK0rLFLUQQ8j66oQOQ25NMpqlI7mV4K1EmMFRoCVAoHGERYpTBgGNpEXyYbpY1KKcE9JEEqBlkWjJDTowpoe+hVNi8I9AgJrKY87uFoifB+BH/qZhYe1Hp0dgrvvfgjXdVBOjKJhaAueMVn06IfrJBKAEqwRCBEaHcbq0FQRoVPCFqNJIIUdBOfv+0Of8RGmMfatrRLeGywCjRWQlg6OEYhlG4i7DlaqfmlwJZSwJSIUAAKJ1QaMRUiJ63lhOr3cqJ7MWAKtw9ejEIQyyGJQSkXyRgEhmYwQMvLB2VAeoCMijdBpJoRXNAKM9UHnqEsOwQuy9PgBUnZjSYNRKKUAg8RibCQrRSgvEQaiTIJwXOEYgLAJuZBRk1KLRSOEj5ASayxCONEYBcLKSA6BFeYtR+KWmhYvpdgs4rNtzC0SLtYgCDUdW7BarcRxEuAkuframzA6S3Wly6GHHIj2fbAaP9OBn26iuhzqa2JUpSAVN5gggxJhWZUUUFdTTl1lNfgWTwSMGqaoq1MkEhKtNVb79HY1kXCy1FZCXZWkqkzjZ1uwOsOgkrqDWM69n7skhAgPSyGQUvbzABussRhtI2NAoI3FWsI6DUD7AUE2TzKmqa1yqSlXODJPpqc3PKitxXV9KioCKqsgFjdonQGyOCpDdZWltk6RSAWkygzjxtVRkXJQ9DKk2lKeylBb5YYH+KYuTvR5iIoRGqIkJiEIrCFvAnwTEBhNoDXG+JRXKurrE1RWOGQzPWiTJ9C9lJcH1NRAZVWKmKOor3XYbliKuM1TnXCYOXUY9TWWuBsQ+DnKyhXD6j0SThqZa6U25TOkMiDpBijt4xCQ7mqlMuVRV5WgpjxG0rP0drWRz2bAaqRUyKiQV1pLkOsh7gbUVcWpSjmk4uCn23FEjrrKGCOHecSc8DuqK3zqah3Kyh2M9UklBUPrXCorFYg8gc4TGl+GwM8jyZBKWOoqXarKHAgy5NI9YA0CExkkeaoqFMNq46QcH5nvojLmM7TKUl9hSEiNJySKsDJnW0Rhj2ybV/9hwOJY0Dg0pSroSNbQUV7L2niCtkQFOVUwpksoYUtEIROgD1rrKIYMQRCgtcYYU6QG96RCWoMjLOgsMdVLTUWe2sqA8kSAyfcS5LI4QoateIzG+FnS3S1UlRvqqn1qq33Kk1l0rgVHZFGkiale6qoNkycMJ+EKXNPL5O2rqa+G6nKFyXVTnshRU2GpSLlI5YSGiXKwIiCR8BlS51BZ7gIW3/dJJhXV1S5lKU131zoSyTRD6jyqqyrACqRwweTIpteTSHQXx1YW7yXd3RDpnYL3m8L6cWPjjJlBn7JVSIWwwoTpJmgCHWBswYsaivoAi5dI8vjTL3K5tSQTMGWHsTz00NMgshxz9P4cfshBTJ4yDjeuEAjWN6znj39+jLvu/gsGRVnK44knfkdMBpBrY6+9p/PQw7/Eimpuu/1ebrz+VmZMH8MJx5/GHrNmUlNbhZSS7q5uFryyiJtuvpNlq9uxqEFllwCDimVrY9iNfkJPx6bE/MDohulLqsRiMDb0llhjwgMGIgMhy8TxI/nWqSexxx5jSSWSOFKyrqGVe+5+nHvnPkA+b0jEYvz0lquZOm0yLzy/kO+cdRGdHY1ccN4pHP+1r9La7nPyqadz1NGHc/yXDsez7fj5Dn5w1XexqpJM1uWgg4+mvSMXjqXfePsHhwWgpCSX7SLT1YNVOfwo0CAib38qWYkUcNxXj+K4Y78A2uWQQ79Me2eaZLng4YfuwnXiXHvDnSx49gXun3sPijYgzeRJo3jumQfQQnHP7x/lm6dfxCknn81ZZ3yVSy+6jGlTd+TIIw8jkYrx+OOv8sWjj+eQQ/fhmK8cwcwZ06ipqUApQUdrF/94+kWuv+kXtHZkcJ0KkKBNljEj6zjr26ey224zqK6qJZf3SaczPPvss/zpT3/ihhtvoKrKxwa9jB9XxzPPPEDeeDzxxEuc+s1z+eYpJ3HK14/gyWdf5aRTzqW2ZhjW5MnnuvjsZ/bnhBMOZtKE8STiCdLpgA2NLdx3/+Pc89t5aONihaG1vYmf3PAj9pu9O1ddcQ3DR4zisMMOYeiwJPmcZtWqZi69/Me8+uYapOuEa4NBdzRsEv0yEwZmt5bwniFQaDxGzJpNt1eJ77goaahN92Jf+zfBhrVsG6uqhK0Z1oRdvbXuob09hy5Us0c1GzowJBLllCWSOA7ksx0ccvBenHDCUYwfNwbH8UhnfP7971e59Rf/j4WvrQKbRIgsM2aM4ITjz2bmzB2orSvHYunuzPDow89yw//9nN5MlmHDK/jtPbdSX1uOFIb6miqe/8fj5HF59Y0N7LrLrtw/9y4OOGAv7rzrAS676idU1dajpKClqYUf3HgpB352H158eRmHfP4b1NTWse/+e3H55efy0vMv8PfHHuWkU75MTe1w1mzIceBnjyYZr6KmwnDGRafzqX1nU1s1FBeHjo525v3l79z8sz+TyRNFWLbwiPpmDGzQGyQFFEJZQoapI0LKgi4YpbEZAqNZumY9Pek08fIKpk/fkXQ2oKxC8/2LziaGx7JVy2jJ9DC8fjjbjx7NWad/lWQyyXXX/4q62hE89ujjTNl+KOPGj6WxoY35r61EmxSrVm7AEvDdC05k9u5709LQxuJFS/E8xdhxI9h/v5nUD7uAk0+7ks6eXJ/yt8WurhKKEAMNkuLvbF9lUPGXxUdRQam1IGwY2hWyWC8QVj8YAj/DzJ22Y841FzJmzBhWrWrk5RdfpjyVYpdPzOSC879K7ZA4N970a1qa89x802+46ccXsuesHdln9kz+8cSDHHPUwcSl5A+/fYilb7Tw5uI1PPGPf7DXrhOorKrg5QVLWNeQJbAeSiXQQQapnOK1DGgmSrgmK5Pwx9/dDHgE1gcpkNLFYDFGcf+8p/jtb+dxy09+zgH77cyE7cZz8flncNgRx/HUc3+istzh368s5Re338WuU6by6MP/ZOoOVYzbvp6Gxhbmv7IC6zisWLkBz1V4yifpBJx64rGMHTeJju4e3li6mnXrWsjlc1wz5xJqaipobm7llUWvUlFZwfjRozj68E8yamQ9x33jAoQDgU4zfnw1P7vpEsaMGE5gJBs2NOLnDZWVVfzPpz/Lv55/mSeffI4dJtcwc/o0Whu7eOrFV5FeFQsXLsUikMKQigkSXhxhPfx8HkEXp3/rSI7/2rEk40maNrSwcPVyqquHMG5CHeeeexwzZkznvPOuCSuKpKAsYYk53RzzxYMZP2kn2jrbWL1mA0PrhrLDDvXM+eE5HHPcJbR2daNcN7wfpn+jzcEBMWBv9Mv15q1X+kE8gdti7Umh3Lano5PMjtuj3Cq0yeP7K+ltbSa1zZi5JWzNEMJQXh7jj3+6FR+NdBWYAnuhAOL8/t6/8Zd5DyHIccrJX+a0b30VcFn46kpa29oYO2YIn953J2ZMH8txJ13Im290UFYmuOIH32XUiJG0NnawYMFKyipiTJk0hq9+5fOMGbk9p37zYvJ5xVNPv8iUiSPYaepEclnNcy/8E+PEWb6uk0S8Atf6uCKHkmFtsBUKrQ3SCpTNU5ESeI5GKIUREI9pXNnFtB2GMmvmKQRasmZVI2+u6kAqj+oKy523XcvESWNobuvlscf+hSc9Zs/aia995Wjq6kZz5nk/IJGsDuXCVi4SthmDhEJBr6QvJ7n4pzBnXkqBNRRDgAIIAo2rHJ5/YTG3//w3LGtYwfINjQyrqODk4w7njNOP4fDDPsUvbr+flqY8Z57xfeZc+R3GTd6R1998jVNPvZZEqhJhAzwvQVur4X+v+Rl/e/BR2ts7cT3L9OljmPPDi5g6eTz/s/++3P37B0gk42HDvBIGMQq1SGGalpAKIUMTpqD4JzzBxd87jZHDqnj26Zc4+5yrWblmDb7v861Tj+eKK07mi0cfwLwH/8bylVmefGo+D857mC8ecQCnn/IF9t1rLFVV1bz08hLuvONuEokq/vLgk9z727t59ok7qa4ezs0/vofnXliGbzTxRAyp3tr3JEphLSqHUvQya+eJGK0wQofvEQptLb52+c/8N7GBxc+nuPyyG/jlbf/HZz6zBxee+w12mTGe3rThvO9eTVmqjqUrG/jaid/m5psuYdz4saxvbOGII7/F6LGjESpGZVUVUkhMoJk0YSIvzF/KpVf8mJVrGhBCMnTocJa8uZT77n+M+fMXs3TZMiqrKvn0Xrtx0/VnsMtOU9l5px1ZsGgFiUSWqy67jJEjhrBydTtXXHkDy5etwRhFIpFg9913Z+FrTdz9u//lrG8fx06Td2TDhnbOOuNqcD28eIxYIhEqzYFGFdm8fPaaPZ2TTjoWrT1+/7u/c9vPf01DQxvJRIovfWlfzjjzK+y/384cf/yR3Hb770J2FmMxJmDqjtP48wPPcMttvyaT9hk1bAi33XYZo0bVst/+n+Le++YxGCr6NgfhWtt0mlb/KN27f8pWLp0/JFgBntW0rVyOu/1Y0pW1VGd6SL++kFimN6oELqGELRvG5JFSMX3GZIRjsdZHSYEUAiMUlhQP/uUxfL+XfT65M6d86wiEgB/O+SW33vEnMkEPteWWu2+/gdl778lFF5zNV48/H0Sctetz/PjmG1j479doaGwhlVTst8805lz9fWbP3o3RY7ZnQ3Mb53/veo48bE9u+OEltHX2cPwJp1NeM4w8CeLxOIieUJeM6l5AhFUlRuAIBUajhIxIkiKHs9ZUV9fS3JLl2ONPo6snoLWjFx0Yrr7idCZPHsPKlU0c/7VzWLmuG53Ps9esKdxz14858DO7c/CB+/LAX5+ivLwcvZWLh23IIClUoIeCzliDEgMPYmMsdUPqiMU8Aq1ZuXo1XszFlXDuuRfS0dWFTnQze7eZ1FfV0ta5gXw+TW1VJSOHD2f5yka0kQgFiDzGShzXBQkSF0+Wc+3Vv6Bh3TI8ZZk8eSwjRtSSSFhaW1oYOmwMO8+Yxh2//gOxhPdxTFIJ/3UMjK2EqVoCbS35QHPQvtOYMn4cDpJVy9/kwANmIZzZWGuJuZaerl4qqqv49P778dqtc0mk4txw3a3sPn0iO04dxcSxdXR09nDVNTejrY8nQYgYSsTxAx3SWhNGDVPJFEGQ27havjjKAgTQ25NkzvU/I/AlRgQYY8K0LQFIl9dfX0U8GUcqwdPPvcIf/vQgJ3zlML533tdxreJHt/2WN5c3UFleifYVwg2L3QNrMUJiiOM4iSJJmIj4Vjo6ejnrnEvoTMcQXhyCLNWVNVz43avo7O7BWvjkHjMZMqSOhBf2inHdgFm77syzL7zCnnvOZPoOE8jn4KLL5rBgwRJcNwlI2nt6mDvvUQASZUMAhTESgUsqVQGuwkjAD7BGh43lRFR1j+LoI49ASYfFixu4Zs5PQTjEyqpASu64cx4TJ4ziiKMP4pgvHxIaJCYkw5BOgjeWNjLnhp/S0ZUHyliyZD4LFy1m1h4zGT9xHNoYHCu2oZDpW0kzC/QDwr576aYQdlCnib4XyKhg1+nponfVclJTJpBqbqB99TKqFOQ/7gGWUMJmQEqHri6fq669BVQco/KgNcYarBVIGef1xctQwnD8cUcRcx3aWlpQKstJJ34BP0gT5Dtoal4HNscuu0xi2PAaurp7Oe+7V7Bu7UrKy2LMmD6NITWVuC70pntJ1Fexy6zJzH3gaaxKId0kgRBo4WJVCuXGcHBwXEWBGbFYb2nD7JuC/mmDgpM5lPNCW+LKQQuXc7/3fZat7SWRKifmBYwYXskee0zD4rP49Vf45Cc/wWwSOEhMrpu2lg0MHTWMQw7amwf/+gjGJj+mO/Ph4S0GSUg4EB7mNmrmZQsVrVstwvBZ8f8WrNVYEV6dIxW+L5BSMXbMdiQTcZT0+PeCV7A2oLs7zQF778yxxx3BmPEjGFJbi+cmgByO9OnpAdeVIAxSuRirwWQITBapVBiVIUy18JIZrrjqLPaaNYNhw+ooKy/D97MoFTZVdBxDEOQjJh7YFjyi2zT65aMU6H2FFBhj8Y1mp50n47kWJSXHnfBlQGCMwWgdpXdJrIwxZsxEYjEBVtPZmuXB+x9mhwlfxYt5vPLiIha/vgyhBEGQi4rmc1hLxPLkgwzQxt9sljffeNx197M48QSabkLWkrAPjwWUdFFKYaymunoY/zvnBr50xGcpS8bJZS23/uR2yitHYXUA0gXhYSIKX4sBESBwAROGNaNRvb50DUtXrqNm2PZoq5E2IJPNM33qEI474VSm7ziVupphJGJxhAyQIoexeWKeJJvNMHPGjjgSVqxs4YWXX8ONpfDD2Qcpw1C6NlgTIN0Aa8OiSW0jKmOlCDIBRusw4mrD9DsTWMaNHY3nODz5j/lk8nliSYVQPsaA66V46cVFHHrwAVSkyhk6fDgrVzWHERbr8uw/F7CusY1kqhqArmwPfj6DEzH0mULB0Ts0rxxMsBEj2qaal21O7KMgw94OW2MB6PuDCPe0tXh+jo43l1AzYhdyby4mqfVAZtQSStiSYSU6cLnvvifxKsrJR812C0QrJm+IxxVBkGXihNEIo6ipGsqll11I3veBPubHrLUIJampraa5rZGpUydw4fe+xowZOzC0ro64K4mryFFoctQPrSQQfkhbYkJCJCMUWkiMDOWTUGH/sD463rD03toAbaJeXaKvzjQcu0UKRXda89DDT1A/ajKBCRB+hskTdiTuVYLNcNAhB3DQ544EIyPCLj8kUzGa0dsNw9hsyLq1WU24t1y8fYRkwGk+GJRiO/D/VoZNdawFA64SNDet5pYf/QSspKNL88Q/nsN1JcccewiXnXcqrhtn2co2Hpj3Em8uew0dNPO9756OkF5I1aYU2kRFKWEsDmElDgI/yFBbm+LOOy5j/JjxZLuyLPzPMl7410s0Na/m84d/mk/MmoU2eaQUSOlEFMMlbAsoOADCJ4XfWYSXQANr16zntt/cR3dvPmITEUgEVoOWDuub2gi0Ja4ko0bWcuihBxIYB53TzN5jFmNG17N2Q3uYlhi6mYvGhyFi9rK6/9e/CwIsMaxQKDeBNaCsjdjDCl4igcShqXE51835Dq7jgWMRgeG8M7/F1TfeQXlVffSFLgiD4yiUjEW0vF5oJEUFOVIplqzZgJNMoa2PtWEkafq0Udz2s6upGlJFU3M3z/9rMa8teoWmpmWcc/ZJ1NXVoZTAUZKYcok5Dn4QkM5bEjEvDKFbFbKfYbDksTaLtQFKhXVnWoOKefh+HqENrlJ9hiSWQPth5osOIqNMERgBQqGEwM9nCfIBMnLuePEYxkRNH7Who7ML6XhRTZtBeSG1sbQGg47YwbY97bGwFk2hkc1mGRKhMqDUpsVb2KwzZOWRcusW4O+GYns2ATEMtb09dL30N5IdjdGeZ1tcViVsZSjU+/pa42uLq/r1sooOCScmsOiwsbAUOHHBw4+8yLy/PIfrJbBWF88Raw1BkKOluZnZu0/g/+ZcTl1tLQ3rW3nh+UW8+vprtDWt4YxTjmdY/RCMNuTyPmHrYIkq9NyKqHetCCndERHVsAiiH40xMsykqU2BCg2iAttj2DMMmps6yKZzSEIWRgjpgqUwpLMBP/rxr2gtN7r7AAAgAElEQVRqI5TRxkQ9VwJMkCOd06TKwibCWzu2kZStkEcLBFrnkNKiFGADHCkR1qezYx0XXfgN9txjB9yYx9w/PEJLczdeIsaJJ36eWExwz+8e4PxLfkwsVo3RLey+22hc5WGtwEofY8KWaLl8+FgIidE5HCHxgzTHHnUsE8fUsXrVag7//ClkemNhAzzRxtFf/FxIBWp1UakrpRxsOyj0PbQmbNYppYPrurw8fylfPzZGZVUNCxYs4+UFb5JMJonHY5jAp6ermzHjx5K3BuXEyGd7OPmcE5k4ZQKv/GcRPd1d7DF7d66++gKO/9oFIductGBlsS4km8uBFLhuqHBLIcPIaLQARVSc3/+8E4A23XgqFfG5C5QUGKNDL5QQ6CBAWMtes6bz+UM+gyXOlT+4hku/fxFfP+5I/jD3IdZ3aGy/Bnhh7ZaDrws88AZjw4aEIOjN5KKAicZaie/3ctaZ36CurpqX5i/n2K+cjp9P4LkGQQuXXHxm2H9EgJKK1SvXoQPF+PGj2WXnaby5fEMkBEIhlfMzuDLsN+T7AUIKrNF4rouSCj8QSG3CKYzmzwKu69HW3MW40cPYbdcpYbG7dLHaopRCijwzZ04hFndoa+5m/Yb1RdYYhMCaSDk2FhQh6UbEHoOwCBuG+LelI2FTkZHNiY+E7zP4QeSVZGBEZCDl9uDGxusliY9uWo3UBWfX1jcH20YlVQkbI0pyQutob4u+tHYLWCnQOEi3nCXL11M3NEllTSV/nvcIlZUjw3Tk6GzI5zLsteduLF64iGt/cCP19TX889kFnHnaJaR9SVpnQLdy8fmno5TG9/1iXyklC20eBK7nRhkBoYGilAR8qitTxDxJPpcm5lURi1t2nD4eE+QL5czRziucaoLA9xHaIlEIr4w3l6zC99N4Xpz1G9q4b96LVNTWgLUEgY/O95BKKEaMHI21LlI4Wz1px+B2DxVhsSLA4hPoLNakyWaayKSbyPQ0MGpEgt/8+jpO+caRSAHLVzTz45tuI55IIIQlFY8jhEcm69OZ7qSjez3xmOWbJ59Q7BMhbEA+5yOlg68DpONQU11Nd3szG1avQAR5htRUIq3ElXG6unrp6mqju7uBww//H6ZNHQs2VOC62zvQuVxREdz6REYJ7wUGMJFCHoafLY6UeI7Liy+8wfJly6msFtxw/WV8dr89sJl2RK4T3dvEyccfwd13/IzJ249GZ7rYc48d+MJRB5HOWW648U6uvvpmshmfnWdM5MQTjsTqHAJdzHUFGD1yFMuWLEUHeVxHFNNlQvSFnvvn8VvA9Xyy+XaCwMfYruKPNp0Y04lys/T0NDDn2supqqjj7nse5rob7mLJ0tUkU3FuuXkO7c3rkELgOAohwPfzVFS4xFxoaFiFn89gAoOjFNaaYtOqQljcD/KkyjzAkOnJ0tXSTq67FZNv4+ILz6CsrDxMr9KGdHcPT/z9aRoaWvEcyw3XXMywlMDJtCJzTZj0evabPZMpkyYjbBI/l8NoTXlZOemubhpWr8UxlrjjYrUewAvlB5Y7f/VbpHDYaafJnPGtb9DcuIb1a5fR0baegw+ZxWGfPwDH8bjvvr/R2d6F67j9PsOA1WG6ZyFuJfoMwr50rRLeDYEJyKR76e7qoquzk87OTjo6Oujo6KCro5Oujk5ymQw6CAqVW9E7B/f82tDjgacDCpVPsDVddV8d6KZRaGgHG3EelhDBRNPX/xzfkmcpjDaEfUdQEsdVSGVRcqAv3QowwqARaOLM/fPjOEGSXaZP4PZbLqci0YNLBzrXyPA6wc9uvpwfXHkR0kpSiRqsCUhnelm3fj0djW2YzgauuuBsKioTyISH8ly6ujoRCHL5AD/QxBNxdKBZu3YtQlg8N8ai114Dx/KpT81m5PA6TL6X9tbV3HH7jygrTyFkHEvYQFFYWywJFAgc5YVRdCNwVYxlK9bx7wVLQQouvPibHHvMPqQ7lqNMG/jN7PvJGdw39y52m7ULPT29DORK3zoxqCMkAsIIiJJoKcj4DgcftB97fXIPhLW4QlKeSlJTXQlSIESMJ595iQsuvIJs1seJx8jlfJ5+ZgFHf35/vnzMQYzdYSztbU3ssetueMqlrSNDVa3ioou/zQPzXuFXv7qdf720iBNPPJKZM8fw+GM/xZgYTz/1EvfdP48DD9mJ+uHVPP7o3SxatIhxY7dnu+1G0tjYxNDhlew9eyK/vn0Oc+b8knR+sOX4hqXJW2MOvKCvy/eHdYCHtRySAI+eXB7HVXhKYawNFV4BnR0ZLrvyF9x884WMH1/N7T+/hLaWb5LNZqmqqKSsoo6erCCX7aUiobj4gtOIJzz+NPc5Fry6gVxvK3+a+1dO+MYxnHzysfzjyedYs3IDrkrSsKGLceM8vn/pmRz1xYNJpOo559zLWL++DakUZoC4MhhhCQj3UjKhefiBm8MUJikwJsBajXJdlIqxZEkzp5z8bX5w1TmMGVtJc2sX18y5ieGjp3Hy6efz8F9/xYRJQzjn21/n57+cS7IsxbLl64nHKhk7xvLis/eQy/kseHU1p5/5g5AJT+komlFICTOUV1Rx9x/+wq6fmMkunxjHo4/dwepVa5kyZQrDhg2lvSVDeWWcIw7fH+UkuOH/buHyK37EnOsuZ+r4oTxy/220tbYQ6ICq6jKkV8tZZ12DYzxeW7QCbQ3bbR9j3v3Xk8nBypWNXHrJNWAU2BjSSCQBMa+Mp595lbv+30Mc8cVDOfmUgznw4Ok0NjRSVVXOxHGjcVWCZ557hd/97s9UJsvozWQIsOT8LvK6ByEChNCRwagJhIuVSZQWEaWjKabqfXj8e+/fJ/VRKTIW/YHe7yjJjAnVnHX0LGKei7AOWhgCAb4QCDza2n0e/MdLPLtwHW6iGm1Dc1sOMv974ZSNsjTDx/24ESRhUK74ui3gWA6zGA0xFTCy2ufkrxzG8wsamfv4AlzXQxiD68iwTqg43oicAwjljC16tPuw9cmdjxSF6bBb5oq32LCWUAYEQpK3Dtr4CKkRxhkQYRDRrRbCkkqU88TfX+T++5/kqC8ewsEH7s5ee95Ge1sXynGpqqygLFnNsiVtVCRTPP7w4+y6y3j23Xsmjz/+G5YvXc9OUydRX19NW2sL8fI4h35ub1S8nOvm3M7aDa0EeUNdmcMTj/yWlQ2rSKVGc9jBR/PAA89z3HGHUV5Zxp/u/QmNjRuorK5gaF0dq1avYPToERirkUYjrUbKIJSzIgY4SKkQxqDzOcoqqvn2WVcy9/5fM2z4EL5/6amcfeZXyPZmqCivoKq6lrxxCYIMnqfQRhfTpbdWbN2j3wwEQYDFktMW3DjVtbVMGD+GcduPZsx2I6muriKTg5f/vYqzv3c9J556Pu3dGuHEsUbgqTiXXfkL7v7j8+RyDp/abQ8O+cyhdPcIvnz8WTz29ALSOsbMXfdku7Ejcb04z/zzdZ55fhWBL5g6bTI7TJ1CTlsWvb6Ey6/8FSvWtDFiTD2fOWhvho8Zxf/d9At+MOcn9Oagblg906ZPILBdkWIyGDE4r+q9wtowMmKUh4zHyQVpcn4WK0ToyULjxeK8+J+VnHL61fzrpf/Qlc1RM2wEI8dNgEQ58xcv4+Irr2Ph4mWcdfbpTJg4jg0NvfzkZ3fQmwtwktVcNedmlqxooqq6nu9ecD5eLIGXiHHnbx5g9dp2Yl4ZM2bszHajx5DP5+k700yRKiRMb3HQpNCU4cTKmDBhIlOn7siUqVOZNnVHpk3dkR0mTmbi+HFMmjCW/fbdk69+5SiEiHPlVT/CShfHjfHi/MXc99e/YxzJad/+GuPGbo9Qgnv//AjPPvsqWV8ydcZOTJu5E1YQkk4EHsgqBG5kkFikNVgt+NtjL3PdzXfT0t3D5OmTOPCww4iV1XPaWZdwyy9/QyAUI0aPZObMnZAqxjPPL+Bbp5/Ly/NfwU3EGb39GMaMHQsixlNPvcDqdQ1IR/L6slU88uQr5HSSqVMnMXOnKeT9biy9GBtgcJHSxxNZpPXxRZyr5vyca6+5kVUrVjG0bgh77r47Y8dMoLnR5+e/uJ9zLvgh7Z05HGUBl7wtR8SGYEQcKWQUcQ33fUAZRlT1qy/68GnA7Qf42VLhWkut53LgrOnsN3Mc++wykn122Z59dhnHp3fengN2HsIxn6rjtgsP49LTPosQPeTRWBEWvg4m9FfBC1GRomHCW692yziZBUo6ODbLQXtO4guzJ3LC4ftRllL40iIdgTAKkMWLkFbgGBdpVZSWs6Wv0v8yohtbiCEZMfDxlnYO9H22QUqBER5GVmGcSpSKI6zc5FotuDyxHldcfQvXXHsbq1d0U54axnajJ1FfN4ogcJn34GN87+LLGTpiGL/7w4PcfONdtDX2suO0aRz0uX0QyThnXvi/3Pqbv5HTZYwdO44ZUychbZaFr7zO3/76IjrjMHXCaPaetXtI8iscVq1t4vIrf0ljU46qimp2nDqD8kQNt916L3/841NItx5rPNABGI2hjJyuxJAiTFEWxWswSLozDkd98TQeeWQBQVDGkBGjGTNpIm5ZitVNbVxz/e088uR8lFcRGSNb95oXAmEFFoMiITQTauG6G3/K6Zf+CO2V4whVzJVWNqS3NOLtaBc/GqH5flE4gPN+momTxqKkQCmFlYLAD4rMNbl0lvXrGxAIlJQRU0GYZxwqAxBYzfChlQytjZP3Besam+nuSRNPxBg+YhQCj4aGdvKZNNrvJh7zGD1yKIlEgp50QEtzJ9lcjmw2Td3QasoqksTiMXq7c6xa2UBZeYzKqhiVlRV0d+doamyLkmS2riVmoxXlYFEYdPsafvXTazn4iyfSoR36WgVuTVc1MEJisAjpYE3ArRedxV/+tZiXVrXhOgIp+mJAWAdpRRTlGuj1DdeWxXFh1OjhuF6ClSsaMYFB60xYyCwkjgVrFHmbJxbzqRtSRVl5FZ7j0NXdzYb1jQQ+JGIJthuxHclEBY0tTTS0rg+/yEjQhuHDa6mprUEbxfKlKwkCjbU5hgypYtjQOjLZDD29OVqaO7BRfYnBROV1FoxAqBja5thhcj2aBNpGrjXRPwEgnCUbKHp6u6ip8vBkgtdfW0VQKCjEJ5/PMHPmrhhf0NHWzoaWBpR1SJa5lNdV4yZTZDJp/EyG5nVNjB01nMpyj0xes2L1hsIEI4RCCEk+CKiviVFTU4fnVrF+bQdtbR0oN8/ESaOQwqGlpYvOznYQGq3zuEoyYvhwkqkkga/p7s6xZm0TVsbwXA9MDs9TjBw1gopUgu7uXtrbu+jo7KZ+6BBqairJptOsXbUqqlJTICX53g4qKsoYPnwE5eUVpNO9NDQ109HZg+O6CGExNiCTM4ybsB0VZS7NzR20tXagZMhR39PbwaQpO1DuxenuzrNqzTocR2JEmFL3dqdsDIPXu5Y7brmOTxx6XNFnvDH6dp/cfC30v7RlFZoDdp3GIV//DpfNW0Lci6GMLmYkiLe9qhCuDdhttMvdV3+NNIZfPfoC6zbkMEKihGHUkHJmzRjJjtvX4ssEl97xLHf+9RXKFCjr8FGr5cJ+PJGIzWKM3kyWvY8SlrC+J267+Oyuw/j+GSfw1H82cOZ1dxI4ZSSAQGtkMaFZoIv1QAYHELJw1hTc/x8OKYQtjA+BtGCkIKa7mMRavnfCgXzyqJOQhDV4Ww4kVhowlpsvv4j5/1nE42+2IE0uKq62YZhsS4wgCY0QlvKyBEOHDQMUb7y6FMeJRQXlA+e5f/6FsODnc5SVJxg6qp7A+lhr6OnqorOtBxMoPBUDa+jNZBkyvI7qYXGsCGhr7KSnI4exAduNHYF0U7R1ZGht6QSdx1OS7UaPpKJc42c1LU29pNN5/HyA1S61tbXU11djbJqOjg7WrW1i6LAhjBxVS2dHDytWrMNxFNU1ZdQPHYq1ioULX0O5buT8i/RPAfl8nqyfZfwOE3FiDsJ16O1N097SSq4rTcKJYaMDZXNZMv/bkBKM0UibZ2K15rQvH8gXzroBLRJgs8XXDeqULUuoBrqxBEuWrg4Lh4VEShkV34abUAqJkGEXZA3RnoxEfrS6HSFpaU3T3NqFiUJjjpskm8+zbOUKjHHAClzlorwYvlYsX9WNpQtr/dDzKR2Um6SlLUtzVy/aBggkTjJOzhgaWntY39QTFrcTOaeF+m9PWwnvAe/HSxSuP4PWoZK1fOUadCBxHRdjAvrnQVshsDLAETFyvmLN2jRSZnAkGBuAlQgJgfZZumJFKCwdhRGxsAAQjVSS9U09bGjuIRfk8JSHthYpUjS0pGlqXQVR3YiUoYdRFCrvgMIDrS0al4WvbcBxHbQpEC9EkRRrkThgJRIHKQJaG9rBuFgckGFxuZQunkqxYNEbKKFxUSgEVipyWUl6TSvCNoWpYELjxeM0tGRpaOrBkAmVUiGj/RuOwXMSNLUFNLc3A83hno4rjHVZvGQVAoVFIqUNIywyTh5Yvq4pnGkrEMbiJBRKGozNo0VAxqR5c8UbKOligpD9TijBupYW1jQ24eDjoFHKQegA8HCSlfT68MaKdcC6qIBa4cRSIcNTxMzixSyr1jSjpMD6Pq6KCq0tVFZUsW51E9onTIVTH66iMCAxaUuSYJET6IPAl9GPMGRw+NsLq3nt9W4CIVAiQGpLXeIxfnHV0ewwdiSf/9TO/O6BlxAqSXHRC8HAgQisDSIv5Nvfi7DjQMGVtIkEBCuxRd/0h5+gUKAO3+TvCw4uEX636pfC9UHnXFpBICTyHdLtwrFZDIXy5E1DYMEY8k45D77Uwoun30pvzuI4ZXgorM6hhE/IRORgcZEYjDBIAoQ1WOsSMh5BaJYUWJk+bJgoBy6K2GwxCN3MG89yeH+2FrUvnFtjoLM7R1v3GrQ2JGMxsBprwrXef+kW5HEksUBJenKGzmUNod4GYSTaJpAyZJmT0iWZNHS3N9LU6qOlxlNlCJvEUYoVy9qAdgSCmKswQmG0ZdXqVvx8DlcalAobNKIEyBwtnRtobGuOWC0NKl5Ja2eO5vblYeG74+ADLe0ZGluXoaTEi8cJbCgbpDVh9gQSFY8Td2M0rmsPoyrGhGtcGOJuDGts0dtQSGfeko7094K3rMwCI4mQYgATyZZl8b83GCNQKlZ8biNFv/+5Hao27wwd5a8XqCKNtggcpKCY5mLRaARCaBCZ4qeGyywPqhAjECjhRuMJIoEg6WOhtO9wZG+tiDzp4oPliP/XUYiYAS5uWFJtDQFBtC/emyCyNmRessZiAoMVMorMBZExKgoBAHRh31kd0UGrgu6PwIvSqQzaCqwMrWdrCmSfIuokHprmlrBQHgxKRYqJdTAiVKOEDdc4oqAw2L4rEwKJRQgHg4dC4ygT9XswEZUwgB8qc/hFbyKqoHyFY7HGYAW4roOwTtjEzoTXbEWAIwUWB1P4UGsw5KJDV0U9hGSkZMni/AxU2qPidymQNjzmCnMS7n8R7knpFCOpBX3FmJCaEaGQJCkyNDomVGyEQFqLVCBwMNYhso2wwhQZ08QASlmDsVlAYGzYxVcIg8KAtSgnjMHZiLEs8KNos3JwcDC2L33znWPQJhx7pBjad3WLfxx7MVoLQoNJQSHNAk3Ywu8DRtmjRoAIg7AhxWYgvcij6pJXmnVdGV55Yw3TJw2nMllGTDoEvks3TXjGwfNS9FpLPt9LSlhi8VoILEZYtNWYII/W4X5RMixoDQttw1oGrED0MzqMMAgrw3UjNHm/h5zxUU4Szykjm+vBCkHON8QSCTwJmAApFTI6N7M5Q2DBcxSOUOTyPnltSSVSONKS13kcN44fBOggg/bzGKlwU0kwlriVyOLZK4EAJfJYY8gbSy4LUsZBCaQLMS+G9n2kyIeeWuOitSGb7cRxFK6TJCkcAplAkMOikFbjakFOB6SxaHwcIO6kkEph0Ug0vhD4xkcYg/El1uSQDuDGiHsOMm/I+4q8celp7EVIh3gqhvQDXCCd0wSeixuPkc1mkdr8f/bOO16K6vz/73POzGy5e3uj946NqmKH2NHYosaQ2GO+Go2aaKwxUZOYaDTWJCYmsWOPDRUFxY4gIAhGRaQp7XL7vbs75ZzfHzN7GxcFBAV/eXyt7O6dmT1z5pSnfJ7Pg/F8tB0jiCfDOaU1tpDRnQa4ysX4WXzXw/MlqVgqpNcnwEvXYsccjJ2HIYxMb4q0Gp9Wyzqjhf6aNUKxwXshQmVeCYVtAlwdZWYJP4S17RASzh0pBNoYbKUQ2rTkQH1RF4d7j0RY4b1aQEit2vaYsE80IdMjKokTHRIGHHy09rFUqyYmImbE0HGUxbHDdobVI0y000aU8JZuWV012eiWJIEBIa2WmiRSypYdOueAzkVQBbki3mB0WMJUKYkfhPqh0aHyub3r51rn9IQwt0tHxW2N0e1G745iKn8tsvnbYNSVxrTpVLNJXvNcMZ8vvfYOL21hfIKwMOWOsiC2iiDAIYi2WEDkgcmijL3ZxbNzdRAs2yIIghb4VnuWjFb4U0sbOv0dgem0P9syzrT9rvW8L7goLUZRdJaQYcVnIuPB901LTZMwXGzaJNSZTspFtG9L2581RrREJU2kfrXFvZucIZN7L+Qmb/gbo0E00Zxt287WNkUb4cbgTqYNLI/ND5PnfOQtykNrCwifZ9ur+eQspU37jYiVJlcgyzhffPhX8up+BcOhRWnzQWRJAQ0GMK1Rii2l5bUMWEajTEghbVSMQDZgRIAwmlgQUJJIMqhvfzIizvqsi49LYb7irCPHsapa8dyUlzh63FCG9h7K2kab+1+Yj+8Z4mQoiWUZObof/Xp1RSpYUdXA67OX0NCcxZKKIDQzw3to17JwXgR+I/vs2oedhg1i1oereH/2O0zcvT+9e3UlrW1WVtUz7Y25GFUQJeQ7CG89p4wfSs8uFTzyyhwyfobDxw1HxlK8+v7nLPy4ipi0Ec017NIvyaidh5CXl4fn+ixaU83rsz5CU4Q0EoUAY2GEwBUBlnI5eM++9KssRog8VlenmfvfJXy6phlDHEUC5dVQlreeUbvuSe+exQSBz2efNzF95iIyWCAUCg+ER1HSZa8xw+lSXoplAhqzHm/P+ZglqxvJYqOEIK4zlBfH2HPUUMpTIexyfbPHGws/YfHKWpLxAkS2iXHDuzFqaG9WrNc89do8fO3Tt9zmkAMmsLohy2Mvvswu/SrZc0g3CuJxVjVavDJ7MevqahEkCXQIo3WER9KrY6deXdh12ECsZIL6tOatWfPRbg2Hfm8Ciz5dy4x5K3BNaFhu0jA2ArDCgnU59VPYbL5F0gaRsdnzqsNvRetHvm1o9nzSAFKBDkJ/4HYEq98UEUKA1uiIRl4AehP0o01dP0xLTKW1H3P6Wftv6eTI6HsR7k2b89Q31BNb29t2VW67V+buSUROQ5PzXH5L5BsySDoqXf+Tb6+IUDkyoTfZyB0x8UqitWHf4QGXXTyEv939Ef+Z3hQGv3UGJTZ/gc8ZJblICXSMQn5TBmmkFNMxRidBmDCfBAHGBgOyrWbeIh1pgzf9iYe0vnKHGyHbUkybf7+8X5IIXQgkOrnCF119S6SD0bw5BoTxwbIhMFh58PwtI5j62ofc+WAz6zJE80Jv5hbfsW0GywQU0UzCXYblSFKOw967DeDofSYwZmB31viFPDX9ZUBSlAi4+JhRfLKklvFd9uXwg/ZGJEpZbYp48Ll3sYXPqEHFXHzqgQwb1AXHSiCModnzWL22kav+/B/e/XA1xArRIvS8i5b5klMxAgK/gX3G9OJHE3fm4ZeaOP6AQzl8j+EUWBZaBwSB5p0jR3HpTU/x2RqNFhY2mhMOH8uufcsx/jqOOHh/elYUkBF5WI/MYcF7L1AYq+Wicw7ioL13ojgVwk0816XW9fl47SH85rbH+e+yeiQJZOBj6Vr6drG45mc/YECvQvKsGEomSDc3URccwNm/fZA5S2rws7UcOKY3vzjzcHpWFIdwEQAj+HD5WH5x46MsXO2T565n4i69uPic71JcaEgmSjC+ABlQc+yeTJm7nl/dfDdxGw7fYwDnTvoOpcVFKKGQ0gK/iXXBvjz51lJ+95cnsY3PyL75XHDSHrz2YR2Pvvw6toIeXfI46+jhrKuuI9m0iDNOPYmuBWBZ0JC2OemQkVxy/f0sXhdCKMk0UFlg+NmphzB+7FBSiRjKUnjGUHPcELLr19Gz12CeeHM5b89ehpYhLeumiMAGozEE+G5j+J3+MkRJ5/NEkPNs5PbITR377dRXwp3WZ8QAuPTC3fnbPTP5z2uhsaRaIuI7nuzoNTa2luTqfn0b5Rs0SAwbTrrtCYO5qfLtHBhbS4RpIhlby4De0JDOhigUuWM9aQ1kDexUAfv2Xctul3blJ99L8Ne/Laa0oB4dxkw2W4wx6GDDxLyvTXIL/EaGcMcYjSGEq4Q4XE2ntsgG0qKSdXrtL21iJ9cLY/Y74rzLwV839rfOeqojLvrLxCBpRgafMqwbKNyWXIHOrtnyeWMX76yxUVPbR7lAb6KeE8IUADyMgfIKGFb6CcN+lOTIg0t4+vkaVq4NIYFgkFs0PSIvMc3c88ujadRHgQyQGpTwUXaMRlHAC28u47Gn3wSVRBkX4cPQrvn0K9+b9Q2G56e+zXufrkX5GUb0kNx0wbFUFCeZ83EdD057hcb6as48Zj9G9CnlT1f8hHOuuov5yxoQVgwtm0OIQsuTk0CAbStEkCFPN3LomAGYgq68++kaVi1bQWWBxZhhvRnTO8YfLziOn1z1EGuzWYQyZEyA7zdw8rEHIq18ps5awitzP2bBR+soVFXccNkk9tu5N02qhKfffJ8Zr77GoIEDOWL8cHbtU8odl5/EqRfdzOJqizzlMbBCc9vvzqJLfpK1jR4zZi+npiZNt/IkO+00FCdWSDrzKWOHxrnuih+Q0ppX31/GM8/OwrFtjj12HLv3kNxwyUkcff5NlBcLfhShMMgAACAASURBVPPzYykuivPh8gYemzqdunQTgwd0Ye8xIxg0pDeWbKZ7eT6/OOswSvMcFi1dzxMvzqK22TBuZH9G7jaIYQP6E2iBJSyU8cGvjyixQxip8RtBGLpX5HPumZNozAqmvr4YS/nsPmoww3ta/N+Jh3DO9Y/hxGxSYj3nnXQgR+43FN/YfLAmy38XLyUv5jNqp96UlycJTDMZHxoD0ErhmE1b0zUSLSzAJ5VoYmgZID2sLQiSbPkusOHE8zwY0h32HbaM0Vd15bzFxdz0j0UkWIc2O9Lu2yot6QN66+6XrREP0eFz57Kt3Dtfdr2cwRpCuEJY2LfNSPuaDZK22+qO6CnfmN9iR1SOvh4JAg8nWMmTd30XSzaitAdS7VBP3hhwnDh56U8R8mNSspp9BzjsfvMIllcDL2e3/NrfWE+0CTC3a0Jb8GGbo3NJ7+gWZFlbRfmLZsCXGSMbbKdmww22fROjOiRf0SjJMehtXDauYW+S/3KD9olO3oWfTLt/24sMw4sYTJRXs3HRSIxsosT6mOl3T8S20hjjf+E5XyStz7Z9fo4h51ToLK7Xvo2yQz9oRMgWRoCl8rFlHTFvAW5QxZBym51P6cUn63vwypo6pJFIE+YebIkEQpExSdJWHoYsSlhkjeazqgz/vPcpnpv5AZadRyAkSmls7eNamvmrDb/8/V/579o0drwQ22Q46/iD6dklxswPPuNHV/6VxVUBMeHwzuuzeeDm/2PnwXEOP3gP5t/5Itn1y6kXjWCCiKJUYKkYpaXlaFfgCAGBS35xBX965F3+NnkGGdclT2n2G9GdWy/6LmMGF7LvuME89NJ8HKWJGxdLpGhUJVxzxzQeef5VZKwAGTRx3D6D2GvXntTrBBf/+UmemvEeluXAWzO5+8lp3H3TxQwsMZx/ylH8+PfPYql6rj73GEqSHh9WG35w+d9Y/nkGhCCBS8/ScrTMo8SyufnCMygzDbz0zhq+f/HNJPLKyGQbeGH2m7x6y7kMLCvltGPHM+OVGRQkbYKs5JpbH+WZ2UuQ+aWIGcux/jaDEcP64/o2vbtXUpjnsj5ruOrP9/HWRw148SS3T59PuZQM6tMPJS2k9qM55GBwwMQQQiNwsIUC47K0Po+Tr7yFmqosOrOWHx89kktPP4I9Rg7BScQxwjB8cBkH7zOUtE5x8+Nvc8ejr+KKPPymWnbpGeemnx3KqGEl2JGiG2zGmmxEgI9NoD1Kiz/m5cl7o2QOsvpF61Mbo8CEx7ZyT+bW5U0ti2zoyHQY+JqSgkbIzqdYwAH9q9nlD3tT5xYz/b1Vm3x/24Nos2FEwBjzldSutrV4BCH9ftvPHd3l7fefjf/w1tIEO9t5ciutEKLFKNk8/MH2L1+zQdIRqtXRUt9+Q4n/A5ltocgYadGVX199J6vWZhF6xzPfDKAM7DMQrr6sB76j+LS6lEcnL2G3QTtjEwfcb7qZ20S+1Hj4n3xtsil9r4WPKyzWZSv55cV/x1ibHrn4Imk3Z00HUF5HCHvHc9vm6XQ4zgRQVAL3XhojES+nNujNrPmKmTOX0HPfo4BqvjSD9QukyThccOPDzF9cS6AVtorR7GaobaxHCIVyYkgERoZMi672STul3PHACyypUtiOgwlcknHFrrvughaGkrIkd/7uXIxQqMCgvAzFBQlcP83wYd3pXdbMuRf/iIJigSVACIWRkmYrnz/c9ihLP6yKjKw8Fn1Sx+RHZ+BQgIwZMD4vzVjA0u/twcC+FmN3H8m9U+aQiqswh0s6zP9oDfc+MZWC8m4YHcJGD993VxwFL39YxZRX5hOLlRJyPLisaXS5/a77ufWiY5kwqi9FBSliXj1D+/XBVzGu/eP91NRaJJwiLAyOVNTWS4SponuRR4+yONn0err2LOXxv17VQnZjAo+4iuGoNON26sfd/5rM0tqAHmU2l194NHvPXMTMdz9izpI1rDPw8SfLsZxSliytZ319kuKU5ppfns7Lb3/Mi6++xae1hoZqn+Wra1CWDa4fjZ9QezRGgAzZs6RsIisdJv9nGnV1kLAKCPIcPl1WB75CKU0QZAmAEaN3QuXlsWh5Ew89MwvHKkEZ0AUlLFm7jgXvf8CooX1axszmAEYlPlJ4ZL2AxvounHzRXa3kGMFmDtvN3Bjb6cUdzvUC2GdXuPScEmxTyCq3K/c8vpRh/QfieVsW0d9eRHfisPr/SaSQBDrAYDYkA9zBpRODZFuqizl/W2cJt9u/mvplobzNvxpb9YrbnwiUTOB6ZbzwWpb6oP3fdiwxWAoWVg9nyrTF3HTXHFbVw78vKggpn/8n/5NtJJuz/Ya0pzbEBjN9EWxdqtOOGlDb+NjmzucgOt+iIC9LlT+WBXM8fvfXt5n9KXx3zDD6ToiDcNFCRsnDmyYmqgNhgACbqqzi8waNVHGkESAcZKwIhEYbHbIe6gCtDY6wWbne5dOVtbhSYUuFrQ27DOxNUVxhfJ+8RAF9EzaWBKEDhFEoFOtqfYRxKE9a7DOskvx8H2ECwriioD5WQV4qjq8DhAjQQrD481rqMxJbaIwK8I0icFKsrapn8ICuFBfmUZRfguWuRZkAI2I88ezLxAvL8H3dQitaWVGCsizemPcRWsVwTBAy2AiB5yuqaxowXgbHSVBYkmCn8j7EtEt9OsaHn1ZhVAqlNRYajcTDw9J1jBnVDyF8Mlri5OcxuNhC4gEWghT1notslMStAtJeKRdcezfnnHYYOw/uyqSj9+WUI/eiui7DzEXLufuxV/lgeRMrqzQX/PbfnDnpMAYP6s1JE0dy+hFjqWmUzFq0mFsffIHFawzatG4YLew82iCFwJiA2ozmrfc+AkImqTQ2rg4jK0a42JbGc126dalAGodly1aQ9UIlTgqQysLTkng8Ae2qvm+6KGMQZIgn8qlv6sorHwHk8FqbCo3K6QC6w+fNkQ1jtokCWOXux6OPf8CN975JbRPcdkURSq4HmrfgN/4n24OE41ditGlhfN3eWbY2VTZukJhoEdg4tHkLJNy4pBDhZqB1VJOBkKHH5LaR7UNZbQ9eaUUZGmMQUrUUo/nyBaSVEyLkYt+0UGxukBkTMhqFHPY71sAz2muBnCgnTuD7O5QN1lLEzPi8v0qy//EvUNUMoaIXkEFFSZDftIgO45VW2IBpHUtSiAj6s3nXbhnqWrfUyQl/IwLpmLYp8K1KqiGk+usI2/mm5NvuBpCGqJhm9JmNAcHayqZkAm3ojjVbaIzkKBMkARqN3wRHnvcaH6xovXpgSfzAA6MwWIjNgGyZqDaBiSavJQ220mDShAx/EeGniYrlRVhsowEtCbIa13MRMhvOE6NZu2oVxvXxlOKmfzzJ9IVrsO0EKnDBaBwhCbw6sArwA8P0RSuIJVME2kSkHgZUQF1DSPIhRciuV9uYwUiBxs9VD8OYDIl4SCudbmok3ZgmZisQBh/BqppG/EATtyVGa3xs6l0gcOlRWoCSHjqqt+WFFYGIiwBP+zT7hvqmJtJJC200MUfg+7WYIKxbZISPFhpPhgbN52vWIYWDpIyfX3YnqzMhPa/AwpgE4JLKeLgyD6eonEVLGznn6gcoKrIY1Lcre+06kAmjBzJx997sucsZTLroLyxb6zJvWQPn/PZRSoothvUrZcTQARw2ehgTd+/B8MFncNIv/8669SHxR1u60HDcASKO69usrW3GslIo46M9TSA8jPAi77GPEAHNzc0oNCX5NoHfiOvEMdomHrhYIk1RQR4CQZDjZticwWziYZhPu5gISipVSE6weRXjTSsUtY1l9OW03RvO75zLd+5HsP8xT7C2EbCSQDPSyQtLIGyrBTCC8modQfI3QvGfg4FujMlwKzWlRYwQBCaqgLN9bEWbJWENPYHWGm1MWKNLR+QSOf7g7VhadZEw/3Nj4OUNDBKTM0RycSCzFVVgY0Ju/qjEvYk44oNAYoxCCgNbmCC8LSTsqvZeCykCLFuS9X1CT8gXxU3aL0bCRMmcBkw7v+cXzRCDZUl8X7NxitbtV0LFIOolHYSa0g50G6blf5LVNTmjVIY1PzRsbyCm3EIftjuqIyRBGIPBJ9DhnAuphjcDC9tSRDQsNqZN5J3ROqq/EVIiR0e1eG4kAq3Fl+Y+fFPSEUL0bZEW+7ENMn3jx26KQbLx8zZvf29tS85Nk0HwwQqDkiqCIoDWPkZvaZ6hwIiccyvaa5AowAi/TZvDVThiswYp0SJUgrNRvo4UCi1g9fp6Pq9poEfXMvbYYwxPzJxMvRcgjcCiGeHWM7JfOf0GDeeJVxZy3nX34pECaZMjKrWNAqGIKQs/KmDYrSgfO8gQCInwQbk17Nw7wZA+Zbi+xX8XfYIgRotHW0oCFc6vXBHEAIf5H33O7gMKOXR0X+56SLG61kVKByU1VraG7004BCeVz4rPA6qqm5i3Pk29SZCSaX5+5mFccctz6GQJ2ngILwBcPGmx4JNqPB0jLrMcOmFvrvrns1hOAqXA8+pwdBP779IDkyzlszn/pWuhzdJqwermfNYsrOONd1/k4cmP88iNP6WwtIwjDt2feyY/hx1PsKS6ibp1sHTdaqa8tZwnnn2cx2+4lPLiYibsP5KHHpsWkQJ0AksRNhIHH4kwNj4+iNBZYnKQMt/HVjYrPluNES5D+hYwqFcBs1bUoUiCV8fgXklG7rrTFus5WuhQJ9C6xWiW4dCitQDAF+8RLb8bRYRMp3/chPNpr43U1Lf5gx+On1CJTeMHPva2yG03IJEoaRNSeucMkrbOKtO6r245GnOTpNWPprGUakOvn2tA5G9v3ei3Iwk7yKDDiIjR2LaN6/pRHb2wtkdYzFhs187qnL7RUqMrMkpEB2PqG8CaCIRRBNpHe83UNVRhWYUomcRKOOhtPEC3XMIkYN9L09jYgBMvjBS7zr3j7YZ8ZEhoHdBQW4Nt28RiyWjSRkpjBAYMk7XCBCspwHXraGhuxHEKiScLo3TSHUkEhuh+ok0+LLK3Y0h7hp+cibrlZKTbTnIKWBh1xGjqamsAjW0pfN9FKIOSNk4sH8uOfyn2tMX3bQxa+wgJ6YZGpJQEQYDWAZZUCCVxA5/8oqKQqlX6ZJrr8N00UqRIpkq/MtxxWxkO37qIiWCLoCdfJp31Tzuy0ZzbsTNK0ZxytrFOFrTApgRh7LGdU2yzRRAIQVgzLNritGFD12hrNF4ARig8JfGjPVKKcKPXSJpNnHufe42fn3kUB4/pRukV32Py8zNZX9dEoR1j3IhxHLDXGF6ZW82jMz4mmazADeIYfMKK2RppJCgbEYR3KbTHwSO785crJ/H01DdprK6mR1klJ5+4P2WFFbxf5fDUi7ORVgKoDmsjiLAAqlIqsqQEykrw8DNvM3GvXehT4XD7ZSdy210v8urrsxk6vIKTT9qPA3ffmfpsMXc8+ApJy6KxSfCf6Z9wysGDOH78MJQlmDJ9Dsa1KC+02WnECJ57axXzFizggWff4fTDR3LqITtRWlHAq2+8xfr16ykt6cKBew5h7O67cdP9L9G90ubWK3/My6/N4Y1ZH/Pego8pjBsO2n0oTiJJ2iph8YrX2Ll/CeeedTzTp8/h3fkLmff+RxSXl7H/HruikjbN0mLJ8s9pP+tDFEVOkZEiQlqYnMqWO0aEhWaFRBhJzM7nrXcWs/SQfelbmeQPPzuGvz/+GqtW19CztDunTzqUksIUeO5XXp+2fLTm5Ktfoe03Oa+0aRMhxxiMDl9bexPO7Re+20Qm04AQPhDC7CAXUZUt7+OxBJbtoCwrqpvU+vfwmK/elpy1IfCoqV5LMpEi5uRHB8k2x+ut8ptf9Rodr5iDF7puPelMEwKbVH5pa7Swjc74bdjEvgGDRGI0BF6GE084hJ+cdQpS5nHh+VexYOHiMAFwO/M6QzjYmhoamfSj4/jxT47n9jvu4757n6GgoKTTcdAW6WaiSdm9Szl//c+dfLL4c3567iVIxwkrxRqDEqFXTxuNCEtXgWnmmCP34vyfncODk1/k9r89hB2LgWi1hrd/haoV0tHqCdqebfn2kmtnWxMqp6QDm10Ub1tK6H3w8bO1dKss4OrLz2f06FGkkil04LOubhULFn7GLbfcT01dli9vuYgUxLB4nevWM+mkiUyceDDdunQhL5XCd13q6pt45vlnuetfj4F2aGqo5Y7br2OfcaO5777n+f31fyO/qOAr91PbTb8jgKgjMGJL5kVb8FGuOKNhR5hj34y0m8Wmw78bO66z62zljjUYfCHI4KCFIgg0QRAgVeSea+etzb0VGCxcK4GrNEIKlLQxJsAYCKx8HnrpQ3r0fp/vfWc39hrWi10G9SYTKOJSkLBtGmSKT1YtIdABtpQoX0daYahotdvVjEAHUNWwnhE7l7PHLkdj+S5Cg5NKsbLW4pq/PsjymjriiQrIhvV5tFBoJCKKkEghCJTi0/UZfnXLE1z5s0nsNLALN1x1GtnsKSjVQFkqTnWTw12PvsvU6QuJ2TFUUvCnfzxFv/IfsOeY/hw3fm8OG7cHng6IxQJwypn21gNIp5ib73uent1K2WuXvnx3794cNLoCz3NRlkUs5lCvC/j881osFJXFZZz1vfFMOnwknieIKwsnrvCsfKbPr+Y/0+Zx4Mge9Olewtk/GE/22D0hyvlRcUMgC3n61f8yc+7HKClB2FHla40SYcVqLRW+tNDSCn19IjQiw6hRiLEIlEKKGCKIsWJVLbffN4PLzj2CQX3KuObso9BaoZWitjHD7HfnsuduOxNCjDYTfrhVx+6mWAgbM306wLZEbl5FFb2/euM2TbTHcccexLnnTMK2JSoHzxHhHAjzuwQIm1mz5nH2OedjqSJAhdXSTdvIq2hZ17d4DRbgZl0GDijnphtv5/0Fn3DNNX8iwEEbRQ5ovDU0zi0xStvuOW3vtWVPMxLPbWL06KH84frfMP3ld7jw/KuprOwWGVrhmJdi+46QbKpYbVnSgW0LCxIi9FQZQ3NjHd8/cSKVFXGUMHzvmAnMf+99AplEKkkrzeP2A/hLpzMcMfFwunYp4uADx/PwQ1ND3KgJojgAtG1vu4FmDKNHjaJ/7wq6lvZAaolSTjSYXHw3A1IiZIhrNkIReGn2GDOcHuUp9tt7LLfefj/EnBAH2Un7tq/h2Mmm3/J5+3mmXyatCrBq+Sb09raG19sqyeGrVTszYmstd5vQVgE6cBk2uBd33vpbKsuKUHaShiYXKS1KKroxcMhobrjhXyFOWYgvNP6FEQgRIE2aVNzj9rtuZdjOA1GWDJU8TyOTDpUVKc4/9wcce/QxHHzIiWg/S8LWlBba5CedEAO+mfeysVGyJd9v7Ppf9Lm15vwXX582x21f8y+UTYFjbamYdu9zW2lnStWX90zbzfSrbqxa+3giTq0pB+L4xgphDUDHJxlu/GGUOjAW6zL51PqZaFZEBfKMIdCSJlnIH/4+ldfeXsjJxx1Iz54VWLEk6+vTzF/wPv987Hk+rZIoFSfw3bBWQIvjQrSLbmsMvh3jpTmLmPLyW5z+/SMZ3Lcfnh9n2jPv8dDTr/Px6nqcWBwvaEJpqPbyKGiK4/mqBe5gdIgn90ScaXNWsvTSOzn0gOEcsP8YKsqKaGgUzJm9kn9MnsaCZdXhnoNECE1GJLnwTw+x79ihHHfEQXTrWoqISRZ/vp6nnnuGZavXEgSaBvK54Lp7OHDv4Rx36EH06tEVqST19U1Mf3MuT0x7h8/WNUPgcu4lt3PcYfsxauQA8lOKbGB4f0ktDz//PNNmf4Z2inlj3gou/PWdHPKd3dhpSH+K8lI4tmThsloeeXI6U15/H6wUJmim1otRFRTSFDSilMBShqyJU+UmqEqbyIYweCJUd91AUROkSJPAEEP7Btsq4MV3lrDq2n/wg6P2ZddBQwiM4v0l6/nDn/7MFafvBbYT1lgywWbVvWmrPOpOp9rWXhW+yBhpVYnbGvlfJ6pCYIgrj65lMbQB12uNQYooo00jUU6CVF6cIPBDWGRupRKtV+q4eoVMv5t3LwKBkorhQ/ozoG8ZFcXFXB8TNLs5fc205Epvrurb2Z7wVbSbTq8nJOnmNPvsvQcV5SkOO3QCv7rixuivrabat6UeSScRkm10Y9FcEWjicZtERRF9+1TiZprJi8F+e47GFgIZc/B8j/Z28fYhqVQed//7Hvr3u5RHHn4KISXaBEhhEKbtokBrMnTuWwFvvPkGq1f+iLfffoPGxiacRAHaGA7YfzR/+N0lvPHme5xx1vkUFJWiMSg7xbSXZvGdvQ/lmadexInFWkLWHZ/SVwkZbzuJ4GjtMCTbXyu/SFpNC01nyp3IgSJzn9ud2UJLsA1b2CoG8IOAY445hsrybriZgIsuvo433lmACVzKyvM54aSzKCisIJ1e29LeLzKXQlKCNA/c/zf69umDL+I8+PCT3PXvB8mkXYLAZ0C/3lx52YX0678Tlp2HVNkwBG48MP5WcYELWufUNzeCOovB/P8rGz6H7WNuW1aSDz5ew95HXYivbayEjRUr6jAOW0wRQBAEAetrGhl/7C/AiiPiRViWg9Zh6r2yFAaFayxmLKhi+uw7QWhcbdBI4sk8DBZSJFBGkKvgDZ1D6HJokeYgxcwPmnnnV/fQlE6jVD7KSiCVg7LiiMCEWHG7gDN+dR++HyDiRShlo30fKWQ0FC2IpVhSleHWh97ghnunRvutQmIj7SRKxZFKYHDxDRhsqn2Lx179kEdfXUTabcLXPnEnn7idREorZKMSMTKmkCdf/YRnX/0H6XQWpVRo5EmJtG2MsJHSYf7KLO/e9iS+zuL5TaHDTiaQVhzbzkOaAFfk89rCGmYsmkI2k0bqsE6LETbJRAHIBLZSeNrm4anvcu/TL6OtFIlUOcZzmbdwFQcffwn1XoCTqiTQzSHblZT899MGJpz0K7SKI+1KjPTxhY9UFrM+auDtqx/DIHGFIoZDWcKie49isCRVjc1h5GmrjuPNudbW+N1O9ig6MfIF26zatxICEWjW19Rz+jm/Zm11Gtt28DyvpZ6VEBIdGBKpLhjhRHMzF5du68pti0zY9CcjotONMFiWxdx332f5p+uZOWshWU8SaNFCzqKjZHfTVofbhK7ZwHgwnc/1ryJBkCUvL8njjz3H0UcfxQOTHyed9snLa6/xfRuiI/A1Q7ZC/nJYueITbrrxMixlMW/uB3QtT9KryyAOP2gc9095K6Th6ygGpJIEfhBi5AVhGF5KLMvC+H5L+qbQBpREChl6jyLe7SAIcBynBXcnRLgRhXjc9g9VEibkKqXwfQ8jBPF4nNdmvEXvHjvRf8BgHNuOkkajKR+VKzaApRSWkriuC0qilKKhvolhO42jsKiYotISEBKh05QVSlKJZmzlYds2Qgj8QCOsGDNeW0j3XiPo2msAIpGKuiKCa0U2W4gHDZM3dRDCDVqShnLdtxGlUAgRJZdu3QGd69/QKOnoNd0RJ08YGelolGwLvP6WiiBk3ujWrVvEkLOK/0yZglPQDWVsmlbAH667EyE9pDJfUvFWYCvJ58uW8cjDt9JvQE/SaYfzLriW5156GScvEc0li3kLV3DgoSdz2ulnEAgHoyQmKtQVRkc68DEZgdbhvMsx2+SSdLUOE/jCFoRQRxHhD3LHhEQYQcSiRMvxIZOXIQg0QoXf+TqMZAnRfqOTMsSjZ9IZbMduuesQUKAQUpDNZjFKoqQMiVujS/hBro0bxkV3xJG9dWVLe2Dr9VygDVIVY+WXYhkJwg0jCZ0Wqoyen5BkfY1MdA+ZHwUEvocQoKRFi7dWKIxKIpMJQBBr47NViMgxZcDIdmvDhg6kaA0XSQwlGOGTVyQxWuL7AcpStKzMQqMRNNpFCBtsrTFaYymLQGtMkFPyBAgLo1I40V4hkG0Kvhl0xHqHkC13r+wEWghisQIcREiNTEg6oywRJZbHECqJRuCkCtrcl08gwmsGxuALCU4BAoUT/aqIrieFh8BHYyNEPogEsaRBGCvynhs0PoYA18sglIWWBVh2ISDRPihjE0gbrQqwHU1AmMiuomqtvsgniKUwUZsMHiV5LpedfRJ3TX6SOUvqyYoUSqQIMmsYt1t3evfqxdp6wVvzPo5U4M0pwimgQ/5D+LudlTbYHqQ1XpEDRIUMiVtHolGNFBLPC1izppa6RpDCQ6pWPUAHLuE6bIMO83NNoFHKQhMaEZ7nh5BJEepiprX54W8ZUFJiCUEQaLQAqRQ6CKLRFGBQSCFYu66RPfc6knheEU5eIVbMwgQBSsoWggklVSujKeGeFPjBBoUZZfTbOWdj7lyJwNPti9DmqHm1MVF+ZWvkpxV2H0GjIz0UwlxbIwRaGqRxqFqVZuyIg8BxKC2tAHQ4b4wI79kY/KD1ty0VqvYbq9mS22tt2w7Z+DwvXA9yuXbym8mT/VoNkiCqFGRJn3F77IIUCZ7+z+sMG9SFH/5wOMcdezgPPfc62gSEOXuRCmjAGI3vBjQ1NlJfX48f+CQSCUpLSkPDwYQhU6UUIvCprlpPXX09yrKwbZuKykpqautoaKqnR48eoYdJa9asWYPneVSUVxBPxAlHhAI81qyuorm5kfKKEhLJfASG+vr1xOOC2toqkoWVIWsYAa7n0VBXR7Y5rNqthKSopJBY3EEIFRlSGqkU1XUN5Jd3wwSGz5b/F0cOx5Ea43lUrVmNXlNFSUUF+QX51DemsWJ5pN00ybz8lkkgjUB7Pp4OqK6upjmTJhaLU1hYQCqV6oAhDVixIkwSrOxSCQaam5poamoCoLJrVyzbjqhgW2MCW1PaXXoHllZoSqd+p29ITGiga43n+7z99kwm7LUzPXsUMW6PnZi7cA3C2BgR0qyK0PqO7iTnheoYKxG42Sy77z6CsWN3xvUV9z74PC9Mm00yvzhUHbxwURNaUljSnXsefBQnqci4TXQE9EArsYHj2NRUN1JbV4tvws2npLwsXByFQEgNRqCEB9CnvwAAIABJREFUIvCy1NfV42YymECTl8qjsKgouq6MFJmAlctXkIzFSeblYVmKddXVNKfTJJIJCouKiCfikQFv0Dpg1Zq1pNNpevXq3qEvNStWfIYwUFRaTDxVgKXgs+VLcTNZyspLiCfyqKlvpLamDst2KC4pIZUqoHWL+p98sxLW+AjnhU/oFOnsuDbQLRGulMYK0ASAihwpZoNjMa2gWbHBOG85pJOfC50aoakeKWciwIgMUsQABwiQok2CrQATbdNOLjlYhNTFgW71Nre/q7b0+bo9qVCLVmfCnMXIXWCwsLQFwidMxBcR3DRSUITCGCs6L6f4tNJ7tCpsJrwH02GNjGq+hM8iiG7MIiRB8Ml5ww2tLFlEVOK56KiI7iyQoaoZts/CRCaEIIsgjSRGQMiYZtDYwmd0ryIm/PY8Zn6wgFkL/osQMYb02ZkDRwwh6XTh6TdXsuDj1SjL2ayAbqvbr6MC19LZ25+InHN423nTclTNUkLWzaCUCoPlYY0HLCEQUiKFQBGwcvlKHGVRXl5J2nWpravFdT2SeSkKCwuxrVg4ZISJ3EAahaKupob6mlosywKlKC8vx/VcqqvW0aVbBYGxkZbC9wIyriCwXFRKY0vwsj5r1qzDYKjs0gVPe6xbVwXGYDs2hcXFWJZNoCVSGcI4XgDaIJGsXrUarQMMguLSEvISidCIMRH7mgEpBdIY6uvqqauvQ0pJfn4++fn55EgpEJDNZln9+Spsy6JHr17U19VRU1eHtGP0qKyktrqBxnofFbcpLrHxPBff06xZ9RkFqXzyCwvINDfT0NiI57nYtkNFRUXorO9glBgdInpWLl+BY9sYA4VFheQlk6z67HOS+XkUlpR8IzCwDQC/gmiw5rzsW2vgmlBJ136G/fcbS+/eXWlq9nnmhZf4z7OvkcmkGTqsP3169ggtXxN2mjDgKItscyNlJR7X//E03nj9Dj5Y+AjPPH0D3z1yJCkbLCGxhKSproqhg7px998v4oMFk5k3+9/c868rKMir5rFH/8yi92dgTDZcKoNapr14BwsXPEqXLikg5HpXQqF9lwcfupqFi6YwZsxohLBIp9Nc98dLeW/BU1x2+Xk01DcgAnCbmxi1Wx8efOC3zHznbmbPuo9nnvoz//fjwykrKWxRFAf27cH89x7gtTcewQ/SDB7SlXdmTee8887CBBn2GTecebMf5r25j/Czn55M9brV/PisiSxY9DRXX3c52cBHiwAhfbxsHbbVyP+deTjPPHsTCxc+wrRpd3DxhSeS72TQmcbQW6cDpPB5fuotzJr1AKN36c6Q/gXc86/fMWfWE7z9xiOccepEGupq8LytXW28s+jIt0SiKbEtF/Uvl3DTEyKiczSQTBTzwP2P8cknn+LYFr+5/GJ0tpnAVyB9jPQwMkBLC6SF307hahseF9TXr2fikXuRSICbVfz5lr8RS1qRQqKREiwlkRIC7RFPxJAK2ualSCGQSKQRCOPjZtdgqdVcdvlJvP76v1kw90GefvpG9tlrMM1NNQg8pNAI00xz3VL22aM3k++9htlv3sfM1+/j9lsupbIiie9mMRqUdKhev47Zsx9g2tS/0693HmN378KzU65n/vsP89xzN3P8cfvgNtdDEN5hWZnF88/fxoIFz1BSHG9RdjAQi9k88eSfmDvvKXbZaQjpZpfmpkb++Y+bmT/vFQ4/dHfKi13+9fdf88GCKbz9+oNcfOHxpBLN+Fk/utb/5KtKxz1Iytw+tCm9uzEPt+jwavuXKBJgRPSKsOWGdlT4Oe9363+m5WUidGqnEC0MCsJCidLCJYlHAb6Jh/URRIA0WSQeSuiW6AgmPEeYIPpOR59zHvgOLxMaCWGE37Se0zIn23rucxE+gcIPFXrjt55n2vaTAeGC8JDo6NWxT1t7OTQyPMBD4CEIyPmGQwPDR5ArHJlbyXJ0sLmOpI1erzF4aBGEERmRg/iY0NATBi1CY02LAEnYX9JI6n2H6YuWo6Rg/G69ufCU8fzsR/tz2H77IGJdeGHuGn7z98doaPJpNTU3X1rVNx21dzs1SL4GCVEiFgQ+NgFSuwjfh8BgAhdfZzAatA+77TKUBQueYPJD19PcvJKTT57A9Bl3MnP2vdx372/Zbae+oEGIMJIthE+QraMgkeWSC4/jnVn3MHPmZJ56/Cb23bMHJx4/lvkLnuGQQ74DhJHuMaP7MXfuQ0yefAMxxyfwXJSs56237uOlF26lJJnhyIP788bLNzHv3bt55smbGL/fbmTTLrYTR5uwUKcwGSTVTDhgMFOeuZ335j7OzLf+zdlnHYLxqwk8Q+jnF2BcMk1VDOhXzL/+cTnvvfswc2c9xs1/+gVdK+LggTAxhIBkMsPCRU/x6oz7WL16JtddfybvzPk3L027izVrPuO0MycwZ+69TH3u3yxbugSEpP/AMt6b/ygPT76ZdP1SzjptAm/MuJMP33+CKU/eyOide+Cn67AQSGNhjMD3m7GsOk774XjefvUeFs19gpem3M6kE/Zhwv6DmfPu4/zmqgvw3Ow3Yk9/rRESpaCmZhWn/egidOCz6IPlVNdqZr7zIWvX1tK9RxeOOGw8t/z1fmQshhFhNd+6mlUcc/T+XHnlTyjITyGJQ2DTq6IPe43ckydGvsiFv/gdiTzNRRdM4vRTTyDlRIVjpGBw374ctN84nHgSLfOxkcSVIut69OxSRkVlKVabnlBS0pxN06dXJd26lpHKT4bJfQ119OxRSc+eXSgqKsTNeJi8aq647FROOuE4kslESHGnPQb26c4eewxhv/HHcez3TyUej6Ew9Ohagh2P01ifQRtBaWkpllWD0QJLKsqKS5DxBAUFcTLpZkqK8unWvZzKyio81yXhOATZBg45eBy/vPgkevXoR9p3UZakT48ujBo2jO8fdRjX/PYOXpgxB2lJmppqKSstpltlPoccMoqjvnsiqbwkth0WwhrQ7wT69OrOJVf+mUAalJJs3QrPO760Da8SvfvmJaf9Gozxse0kXjpDYXEpH368nN69e9K/Xw/+cuvVnH3hdQQyiTAB2m9m3ZplKCdJSXGX6M50u6S+EJ5iGDFiZ6SULPpgKavWVFHRtStB5FMNqRqJQtYSTwcQmFYIQ+QFy1FjZzP17LfPaH533c+oqCinscFDBHH69qhk7IhdmPHa+5x65kUU5BdDpoFXn3+U7t1KUI4TQhiFoP+gbux7wEiu+NXNPPX02xQUJkk3NdCrRxfwsvz0p8dz8KEHEU8Wkc769OnRxC7Dh9C9si+33TYZ25YIArpWllBUVNyiKBnC8LZUiv59u9OtsoJEwsZxLIIgS4+exfTp6zB+/135zRXn07Vbd/BcQLPr4B9w9HeP4Myzr2HRh58Qiye/thHwP+lM2hESsylzNYRGyTYRhG0jEo1RMeYsa8aZ+RnvLVtHVglsJVrx9VJ0qgxssn6wqQeaHMwxd050YpuQSg4W3C562nadCBeKlnhMFNLZxDa1/fKL+/yLc8dyEZs2TGYm9GgjJM1Zi6tvfYJ7n3iTcQeMpUf3UhzhUF21jlmzFjB34cc0axvLtiOv8FfVxLZfQ6Ql5TH32LeVF9wYLCmZsM9omhvSIbzQGLSRGOEBgvnzP2PZilUoBd27ldJcX8cD99/C7uP2wjOGIEgzdEB3Ru86iP875/fM/2BVGMkMmhm120Bu/OP59OhWhitsdBBjcO9Kxuz2a3wMsbwS8lIJtAZLKhKOpF+vrrieIGYpmt3QqO7ftydNNTGuvfJUDjxoP6SyCAKHvj26MnbUNVx48R948tnXiMXjGC9DKqG57dbfM2LErmAcfD9DMlHIgJ+ezLFHHstpZ17FmtpmlNGkG9fxq0vP5YcnH4elJA1NDTgKBh6zHxP2350/Xv9v7nvoBVKFSRxH0bdPd6oSa3hx6uMM3mkY0lIEfglKQWFhgn59urNurSDTnEUIRTxm06WimALH4bYbL+O7Rx2B62YQRtOny3BG3fkrzv359bz62gfYsRiu10TXbinu/Mu1DO3fE+0HGK3p1n0Io8YMoTndQNxJUlpSSDabJWHZX8E83zL52gwSAUjt06U8xahRw7AsxaOPPIXjpNBkefa5qZx5xokcM3F/fnfdbSTLu6EwuH6GvcftzLXXnkteXow57yzmkUeeo6FeE0vEGLfXaLzAorG5jqOPmsAZpxwBKuClVz/h2WefoyndyB5jduP7x09EBc1IbRB+BqHyEF5AzAikBoxC4mGiSr7SGIQ2YdjNaKSwsCwrxA/6ATLQKAQxJ+B7xxyAEmnuvftZ/vXPp1m9dg3j9hrLmDEjGDBoGK7r49ixEGcoFUIbhBGsWL6G/fc/nEsumMSpPzqOWbOWcMbZv8TFEM8vIS9VSGgahMAUJST4LkP6dedXl51PWWmSDxbVcMsd/+Cll59jj9E78/PzzmbX4YP5/W8uZs05VzHv/Q+IOzbSKJLxGN///rEsXVLLzfffTdX6lRxy6O5MGL87xxy5Hw9Pfp4FHy5j2y2o2+9CvcOKCaMjjlS46dV873sTOO+nZ1FSWMaKz1fRs2cR++0/klN/dBw33/4EluVy4L4785urLqa62XDcST9HBx6SJoywES14aIFjWaSSSYwRfPDhchJ5+Rj8CCffRumLDA98fwOFTgBS2Ehh6Nu7hJtvupaiwiTTXnyTyy69gfXrXA45fCTX/u4cxu/Tj5/8+AT+9c/nkJ6hS2V3pjw/jUefeo0335nJ2DFj+PGZh7HnHgO57JKzeOrJlyEI5yjaJWbBMYcfwqy5S3jw0alkMh4TJ47jO+N35qTvf4e7H3iSxmYXicIykoQdC6lFiWA9BiyjwfORgQaTweBhTAZbehi/kcMPm8iqz5r4x29u5fPPltOvX3dOPuUEKstLuPHGqzn00BNIOEkybvr/aw/pjigCtU39DLmIh7Ecnp7xHo88/ya2E8OxnI2HVra1bMoQ/aJjWi2Rb6b9XyZGAA7YMT5Z4/He/dPIBB4CiRIK27KQxFBSYG3Rw89FlnMv2kFk2nbPNys5twvhet1iqG+bNUprQ1lZGb+/9mLwm5C2HRbRBVAGiHPe+TewfNlKLCGRgWFA7z6Ivgkef+QZZrw+m/z8FGecegR9+5RyxmlHc+6Ft4D2KUjAH357Kd26lLN0SR0PPTKFT5evJS/P44TjxrPbqL44jsH4LoGvsaI8KIwJ81ikCo3PrEYZQyq/gAmHHMfLr8zmsUenYCvJKacdwtBhg7j4wjN58qkXcUQSz89y602/ZezIoaxc0cQll1/HvPnvUVRoeOC+WxjYr5I/XvdTJp18BUI0c95Pvs8PfzARXIsbbn2Af979EFrX8utfncOkkw7jissnMXP2XNZUNYX6pudTkIyx8/DdmPL8azz0yDPMfucjbGWjhMHGIiZ9bBLhczMByteUFac4+NBDmfLc67ww9WUy2Xp+efF59Omd4qILfsxL085GxmxsR3P9dZfQp2c5q9bWc+/9L/LRxx+TSMSZOHF/xu8zmJhUKBNB674B+ZoMkvDmmtO1nHDMdygoSNHY0MC7M19HemkUAW+9NoPTTzmGrl1LGDd2BEuXV4MvcBubuPLS88iLW7z79mJ+OOl8fBTCKsLTcO9j00jEy7CTcS668P+IyRhTXnmfM86+ikQ8HyHjPPX8e0x75Q3u/fsNQFhZNVdJWmiDpQNiVgAREhXCfBShVIh9NGF9EGVZYRK9Ui04TN+FRKwQ383wzlvv8tGHH+LE85k27V1emjaLWExRUlKC73kIKSJKY0NxSRHZbAAmTtYLA+Cur2l2BcmiQtzAxbYVWmu0Dnn0lVD4bjNnnj6J4qI4H3+yjmNPOI+0lyWRLGL2u0s5+5yL+cdfb2SnYYM487QT+cmFlyGlxkFiAWvXZzj3nOv4dGkdyUSW6dOmM3XqZHr2StKje3cWfbgyosDc+gvVt4SZbjuTcGPx3Ayn/vA4zvvZiWiT4vob7+We+x7gjr9exj577sYZZ/6QmbNW887Ml+hSnKRPlwSZ5evINtdhxeJoYZAmCPHbUeQjhMlE+HoTYFky8qjJFo+lNNGeH3lajdlwCzbGsHr1Sv76l9uIxTSfr1jD+ef9Ai8bQ4k4z/znGcaM7cX3J03i5JOO509/vJu+ffty2nnXMPXlF/EDjRWL8fTUF/n003lMeeouunQpo0vXYjw3R+BgkMpm8eK1nHHG5aSDBIHOMG/em3zngPtIpfIYOWoEU6a+jBB5SBMST+TWAcglx7eFtITvpdL4vodjlbFubcAZZ13Jis9qMNIn8+J7/PfTKv58w6/p27uEQw6ewNSX3sSOxwlZlv436P8n7SXk4LKxk8UQBAgtkNuH1rrdypbOopy5IEwI7UoqhzwRCxOIMXhBEEICtwq0uG0ezfYvYfXsbXf9dDrN+x8sx8t6GG0IjAbhg4QgSLCuRhOIiPrAQIDNlKdmccUVN2PHE/i+S9IRXHHZOQwaOJyi/Hyq1q3ixEnfpVf3Etatd/nF5Tcya85ipB3mJD325Is88tDNjBldBoCnAyxEWJCZMCKopAr3LAm+7yKV4PVZH3LuxX8gm/XRbvX/Y++8A+Mozob/m9ndu1OXLMm9YwMGA6GF4tAJhBo6IRBKCgkJJEBIIfneN6QREtLeVDqBFCCBhGAIhGKaDcY0g8HG4N5t9X53uzPz/TG7dydZrrhI8v5gLelud29nb3bmeeZprKtfxt133kxlcRnjRoxj1Zq1HH7I/hyw356obAc3/vhGZs9aRNa4LG1u4P9d/xPuvPPn7LfvWCaMH8XSJXO46MJPkvLS3Pvnf3HrLX9Gi0qMGMQNP7iFQw47hFGjBnPqaSfxu9//maKE7TXJZDlPv/AG1157E65bTTJRQ6fXgTIapbT1PhA+RigMtjCxwePFl+Zw1TW/wU0Wk1XNLFz+Ix575HZqqktwpCAIAo4+5hD2mbw7WrlcddUPeX3OQnBsQoCpU5/id7+4nlNOPAY34YQVoTU72lNmOysk0cRu0AYULieffjqOZyjG4/FH/oDjSBsrAiAVKc/wqXNP5Tv/8wfKy4oYNrSMCeMHIYNi7rx1KkaU4aUMWgYkkaRKS5AyQ82YYVTXpHAcl7/89b8UFZeQSiUxWpF0i1g4fwkECuklQbj4EjJo60NrJK4h9LO1rl5aBVZY0TpcERYorUPhR4RZpMCIJM889xonfnwKN//8+1x79dXMfmsWb741j3/963m6Ah/8BAiBNDIM9tO0tTaTKinBESZXZFOLAKUCAtWF6ZEM3WCQToJkMsmee09A4vPEY0/R3pYmVVaO1gJHdtHY0MYT/32GyZPHsffeY3GTLoEyeMZHKs30F+azeNViUuXFCAPp9iT1DWsZNWYUgQlQuLgCMN2zRWw+hSbvQv9mbABjLwJrzNZhhLR+3loxYbcavnT5maRkFT/44Z088K//4CaL+MJnr+ehf/yRyZMn8rObPs85ZzzNUUceAE6Cd99daou4oZHGAcLzYd2XNIaG5gb8YCT77jcR31ckU2V2UolcnQTWn13Y/SUyDJEPFRQAYaisLGPCxJEIGTB0eIKZMx/FaA8pswhprRYJJRlUUcxu44fT0ZFm2lPTOOOUIznk8L3Zc8/dGDlyKEnHo6QkiTE+Rx11OI89+jpag5SGQPv8+b6/09zVRTKVQgiHpUvmk+nqxEmmSCRdCONtHMcNM42ErngGOxYI6/cOEgcPkGFwbYB0Dc89+ywfLP2AosoqMIbiRAWPPfZfrr3qM+w+aXf22msvHnn0Wbxkakd3h35NoWvAzsnvsr0pdIOK+pQA6SJMGD0heu6/PcbJ7RfTt/MMJOu3KboWQyh0yyhsHnDytTmsYrJtiLzfREHV7IHYkzcHKQWNLc1cde33qW/M2hhi194gGaXbJQGeXfh1paRNa276xW8QXglGukhXMOedd9Ami+sZhOdgtOCoj03BcQyz313C7LkLcEtdlNOBqyrwOwPqG9eB2BtXCCvDSUDIcC4SNoOeCN0VhQCl+cOtfyOj05CQFCWG8+pr74HO4pguSorL6OhcwFlnHUtRUZYgC7/+1XfxnBQy22Hd/R2HwA0wjmTKxw5kxPAyKiqtd8H553yCs885kwAfpJUrJRLXE0z52GH88ld32sRMgDIu133jJpLFxQTZznCuEjiOhyCLDhU4K0VpXDTpLNx9z7+QSQfhKopTZTQ1NSJFlmQiTCaV7eTA/fehNOnyzjtLmfHSG5QOqgVsWghMkpXLFyPklHDu17nPKPhWt3u/2f4WEmEwWiEQjB1dwR57DkEZn6wPqZLIciDxHNA6izFtnHzCYdz80z+BFJSWluBKB0HA8y9MI1VSSxBm6TAGjG8w0lBSlEA6Bq1h/txFJKWLyfo2vScaSQZHGhAOWjgYbBCcnfyi1L1hIKAJEMrHEwahw0BVx3ZoWz3WDjiBHwAVfPXrv+DoI6Zz1ZcuYeK44Zwx+gTO+uQRXPO1s7j3vpf4ze0PhvaJ/JebyaZJlhShTGC/fKFz6eYcx0GhcIRNXSzDFRyNoaKykmQygVI+dXV1ucxEWru4sgJlsnywYBkIl1SqCG2s05cOAozSvDF7NoHRGCnRgUI6DsmE7eQ4NlvJAA1DH6DYvnj4oYdSUlJGa2snL774kq3cqgQlqaF887qf8I8Hfsu44WX87a6fM2JEJV0ZxaOPP0+yKAlhViEb+xFaDqUknTW8O3cFHz34QPbYYxjVlZqssim0pVnfAzzqN8KQszwYbYNstVF4ns3SM/vND9CqFJQHIoPS2TDT4FoyxsOILEXFPg/c93v2mzQWRzrorKa1pYO6unrKS128YhchZZiIwSAdQZCVLF9dh/ASBMbGn2kV4DmSQCmCIAizjtgrt0HKuqANGhtpGCCERggPU+BKY/wsCxctwvFcgkDjCRcHSLlFOMbBkZKKigoSBWmEY2IKycnsBckwzGYH68dsDdtbURKht0S3+MKwKMXAVK43jZTSyiaug3QdmyxAhKm3wyxy0siwno2dK9Y1NLBi7TqqB9eSyWat0h5arpQKCIxCaagoKwWtWbtmBVplcbwUhoQt6+B5lBYVgVEFSTFMt+fNYuU+rX18P6C+rh5hjJXvjEAZ8P0MZaU1NDU309HZQU1tDSpQNDd3sWxlM0HggA4Q0n4WUhJgaGtrpaqqCs9z0YHPe3OXEagU2nXR2LgNYQTCdWloEriOGyppgq6uDA1NTRSVlYfuxOTSfkfyo87lfLB177OZDDNemkFpxVAIX3MMuAa0axNXGKUoKylGCmhqaqKjo53yqtrc3bDp9u39MkSeDgPOQmKR0qGrvZ1TTjiRqtJi2jsUF1/6dRqau2yBHK0xOsPI2iT3/ekXDKoZzEcP2ZMZM9+lK50lm82STDiccMIxPPbfmXjFpeEgY0KBXZJJ2xjTVAnsv/+ePDf9FRJhpLrnQUWlB9JmB7LxewbX9ew8ENiaCEap0JKhqKkooaaiBMdYpcZmMdK5IUcicKTtJFrB9Bnv8NCD51BbVsnee+7Gpz59HGedczSXXHIa7y5Yx+OPTSMKvpPGmpAdo22+6W4CUlgfJVA5/9PI0zOdyVBf30pnZxdFY6oZM2YM6c6nSZSUYpTAaIkKfA4+eB/8bJaODo0QSYzqsi6HCJqamhCORGmF69h2iYLgZJsSbtdd2dkQGwru6gsVUoWQlJaU4AhBMilROoPjuEgvgfazrFrexNev+R533HIju08ciesFzHr9XV6c8Sa2rpoBogC2sC8iKK8YzJ/ueZjzzz+VsrKA3/z6+5x2+uVMGDeBrAp9pYVND9re1EJaBVRUlIUuEHkLiTaaRCJJEAQY4THrtcV88xs/pbJqGOlsBz4BWkAm6CThOfjpNC889w8mTRrBgmWrueban7Fi1VoWL1jMsBqPV2c9SkpInMLr1QFKJ0hnQDgeRgocI8N6Wzb9pF3EkEjp4jguQaDspOmACjQJqagdVM6Q2ioSrg5TetvvWBow2iowyle4SYVEk5QC6WpKipOoQLFqxUqCrE+yl1JKMbs6seIxMAnD+UX0M3ZPRuQz1UkhwxpSKudZYrEp2HVYDkJrjREiTGddcAO1PSYIFEXFxWSzWbTWjBlZS0KCMBIdeAgpyXSkGVJbC0YQVdrRWvWYp/PJYBKOS1dWYYxACJdcBbrQnc0Yjes4lJdXsnLlGtxDxlPf2MmxJ15AaeUouvwsymRwhSHpeLS2tlAzqJyjjjjUCvauy5XfvJElK9vJKBdlFFJIjDK0trVSVVVDTVU5ghbA1lDqyvgUleW9DXojao3AXmM6nSZVGpBMeGjtQ3gftTa4XoJAZ8hmM2jfpyRVTElxCVppkqkk2UwGrTV7772XlT1z8SM7fml6+35iqMUZDEGQ4eSTTsSRSRYsrGf22ytZ19hJXXM7Te0ZWrscXn97BYuXtoHwufyLZ9PQVM/CpctZunw1Sgdc9/UrKCmCpvq1dLa20N7SyKqVy/B9n1mvzKOtzYAIuOzSU2huWEM600Y608bcubO59fb/s9aaUANUWtLZFZDOKkgm+dznLmbRovfxMxmWLZnLN6+7kpJUCkyAK6OgKACDTUVtkAKGDC7nuKMPYOWy+dRWD6WsooalK+r49GevZvGyOopLE+z/kY/getYEma/5ELqI5OPMMEahtG/vl7L545XRYXYKg3Qd0mnN22/ORWU15557BkOHldPZ0UQyAY31ixk9qozjjj0QR8Kzz04nyCp04FitGhPGldmYGKSNFVEmzFovRbhKrONpsx9hDLw88zU602mcRMDnvnA+DY0raWmuo7WlgeamOl54bjpvzX6bVHERxsC9d92FNgGBVmjhFiwjRulDFa7n8MHCpTzy6DRc6XLUlP14+B+3sHb1EupXLqW5fg1rli9myftz2W/yeGY89wRFriEhwxk5XHFRSrN2XT3vzlsA0uWCi8572QKeAAAgAElEQVTmsCM+wrr6RaRKIJWEbLaRk044hH/+427S7a3sNmYUnvSYOWMOr7/2Pkq7eEmPj5/0cUrKS5DShCmFFaCRyoCW+L4tRCVtgh3bGmPTnrrSpphJZ9N0pDtxEy4XXHAeSxa9j8p2snrlIq65+gpSnovy0zapaEH1XhUEHHnEoWC6aGpcQWvLUpYvn8MVX76YUaOHkfUVUx99FC+Z3Am9ICYmZmexc9O/9x0M5FMya4PyfTo72ujoaCWbTeP7afxsxm5+BtCY0JoNdhrS3QKqrQu4AVxXEhjFU89MAyk4+OB92WvSbqxasZxMJsO61cv43Oc+w8SJu2F8nTs8bwk33TehcVxrAbCFctdvj9IK6UAyVcRf73+Qrqxm4u6j+da3vkRjy0qU6+OVSVq76qmqdnnooT+RKi7j8f8+weq1dXipJL//vx+RFJ2oziZKHYNIt+Lpdn72g+u58LwzyXTl63ZpLQh8VVADKUphHqU30rk7kq9pZO+3EOCrMA7UkSisbOcHilRRMfPmvg847LXnRI4/9nCaGlbR2dZAY91Kjjt2CgcddABBoAruFeQXUXZM/17PQhKZa+xqYNTsrbueMIyIwO/i8MMnM3ZcNYFS3HPv/aSKUhjjooO8I1NH2vDfZ59n4sQR7LHXeEaOqaC1rZjv/L//4/6//IYxY1yem3YHUx97gVUr6xk2YigHHvIx3n53OVddeTU/uPH3/O7X3+ajB+3Oa7P+zb8fnUpXOs05Z5/B8OHVUetC9xAXpRzenPMeI4ZXcMYZh3HvXTeybGkjJ510KHvtMYFMpp1EQuAHKvKMQWsJeHYFWkLjusX8/j93cu2XL2HqI/8N3WVcbr31EUaPHEMmXcT0F6ajVIa0n0bjFHQgheNKWptb0YHPIYfsxWWXnMSKtQ2MHj+Zu26/B8eVSAek9DDGx0uUcdtt93P0kYdRWVPMk0/dyp133sdTT73Ixed+ks9edh7Vg8pZvbqNP95+D0XJJBnto0RAIA1KgiO9UDEzSGkLCmmhsZ0/dtrqL+QqMLsO785bwqzX5nP0Eftx2cUncPSR+/PKzDmsXbOWiRNGc9CBkxk2fCjaz+IlK/jfG67hudOvJOOnMI4tiNbdLGbQ2mfk6HH8v//5FXtMGMfHDpnE8cfsz9uzpzF/3vu0trZSVlbKmHFjGTKynISTQPnNSBzbr4QGA56boHbYBC7/4reZ9fJUSlOKf/7jD8x5+12mz3iZYcOGMuXwQxg5chjzF60BYNGCJRx00EROOeljvPzyTN6bP49vfPV6zj7rVAK/BSkE40cPYVhtDevWrkAaiTAe1sQsiKpFKGFQQuGKLJBFG01TSwtz33uPkaOGccH5HycpO2lubOfYY49k8l4jMH6XNZNHgfv2LgMOxx1/KK+98k+ee3EGzfV1HHzgAUzeaw8UDg/8fSrLV6wmVTootjB+SLrNQWGsT74sRiz8xfRd8ovx+fKUO58CLwxtFyS3j3XfIMiCaqPUk1x24Rl0+gFBmDwAbOyGNoblK1t49LHHrYVe2IUwt7D+AmEQPHZLJGwcyt1/uZ8zzzuO4aNquOP2G3ni8Zd4b/F8DjnkII458mA6OzsoKSntfllCgciQF/Aj67rKuZDZL8vGmGghUMKghQ8EeK7LW3OW8uyMeRx3zGSu/tqFfOpTp/Pk08/R0d7BIYcexD6T98RIF0OSQbWj+cMf/8r3b7iOSZNG8/rLU3nz9XeZO+cddt99HAcdvD+Vg4fxrf/5LcLYAHUjwpjm3KbtdaPBOHZ+MwYdTvwC0ELZv0VU4pSC9tkE/dKRSJI89tjznH/WKey/7zhu+d31THv2cN5+510OPOAQjjrySLRqxUmkcKRDvtdum96rQ++C3HgeLoIXeh3BdnfZsqYvbRTHf/wIkkUe7e2KN958B0e6YZ3XvCZWUlbJv//zFJ+99BxKSko49ZMf529/fYY33lzB1df8kJtu+g41NYO47JJTwgnKQSSqeG76qySKS3ji+Vnc9ed/c+GFFzB6lOTKr1xqA9Gly29+9Ueu+fIlGA+EMDhoamuGcf13f8z++9zN0KGDuPD8T6C0IKtTPPzIVHYfO5KPfGQfhCwKU/a6CJlACx8jNEorHJGgbk09e04cye7XXMS3v3MpOBKT1XRlNbfd8gAvz3yVZFIipMA4DloaHNezpkzH4aVXXucLbZ+issLjxh9cgZOq4LY7nyTd5dvsEFIghIeUAUWJCtbVp/n0pVfy29/dxO4TR/PVKy/ma1ddRCJRhO8nePf9VXzjGzfQ2NJJqqiEtNIY6aGdYox07dIx5Ap64UiQ9sE0RiOEjE3OGyDvFdxXbpBBSgcVJLjhe7/mph9+gyOm7MWEcdVM2O14VDqDlEn8QPLG6+9w400/4uaf38DwkTXcftvP+OxXbiCTzZ+r+wBkCAJFSWkpnzzr89z0w+9w0QWnUTO4iNqa/TFaIz0P7Qc0d2T57/QXyQTF+AT4oTVRYf1xsxmFoYxzz7+MO3//K8aPHs0hB+3NIQdOQDigdTENTQGPPfIMY0fuzuVf/hYPP3QHg2tK+OPvvk/ggyDJHbffw4EH7c7BH53E5V84n90mTOH4k08G6WAcaxYxoXXGBi9KjFOElp4d8LUB4fHr/7uNvffcjZHDB3PRBZ/Ac1NkMkke/teD7LvvHuy2+2Tr6yvyA7PRkpkvz2DPvSZy3pnHgDa4Top0WnP/A1O58Sf/R1lFJcrsqp7jMTExEYXqyPp1rAYm1gdEIIyhojrJlVecSVZrEokESgVobWz1cil56ZXl/P3+++3ilXQgfD3nwo5B4CBFCiECpAhQOiAry7nuWzfzi59/nXFjJvLpC45CM4XOrODJJ56mqjzFUUdOyRc0tScDEdbEMi4YaQstSheiTIvCeq8YY6xLsivRjsQPq8snEqVc+bXvc9NN3+DkEz7GqBFJvvS5s8mkAwJSZLIJXnxhFuARaMlf/vYUFeVD+OqVl1FcmeKoEw9myrH7IKWLNgneeX8Bc997D9d10GRCGSzZbe6IrDtCapAaIzzQPkJrXONipAy7WJiAJfwWtAHhGHBsCIARDkon+fI1P+SO237CvnuP5JTTDuf0M04AU8y0aS/SsG4h5513Vij75T15diTbVSExRiBlAqOTeO4gnnpmDosW1dHUrGzBtLASrkWQTBbxwaK1PDL1FYYNG8LuEyfT0TGVQZWDeebZ1zniyPO49JILmDRpPLguS1as4M/3PcyauoDSymqMyfCDn93Cvx55ngsuuICq6ioamxq59dbb6Wyq4+qvXIoVLMDoDEY4YIo487wvcvnnP8+YsWNpbWvj3489z5NP/pfrv3k19U2C+oZ2jNFI6fLqa/PpaO9g3nvL8JIpAoo5+sSLOeGEYzj88AOpqCjGGM2Kleu49y/3Ub8uS8JLoFG0t7tMe/Z91jV0UJQqQwUCvBQfLKrn8i99l3PPOYPqwYOpa2pn2nOzKC6pYOHiNp5+5h1mz16C5zpoFYBxWLqiiZNOuYQTjj+aY46ZQnlFMW1tnbw4/Q2eeOJZkokSEskiwGYUmvnqKqqXZWlqTuMrhRe6oSUSSWa+8gZr6rpYu6YNKZ1eU7fG9FXCActNUtfYwUWXXceUwz/CqScfQ23tILK+om5dM4889iRvvjUHN+Fw7fW/4vOf/QzCreCAjxzKzFlvbvDsWhuE4zJ81Bi+d+Nv+fVv/8QlF3+KibuNpCiVpKW1lbnz3ueBB6dS39hB5aAhaNnGm3MWAQk+WFSHm0giHRfPKWXFijo+/onzOPfsczjkowdTXlFKa1srr705jwf/8TiBb/BSJTS3Zzny+PP4/KUXccB+B6B8w9NPP8PjTzxDZXUJV1/zJUpLKnh51iJKKmv577TZGFlJR2e4EidseJ+TqOS56fPASOrqW3EdiSOLWLhwLeed/xU+/9nLGDV6GG1tLTz492nMeed1vvrVL7F4paG5tdXGkSiQxpDwEjz15Cwu+/z1fOXKLzJ69Eja2jp46MF/MWfOPByvLBzPIreAmJiYXZ1dpR6RdddyWLyqlWdmLEBrQ4CHcFwbN1EQI+u6LnPeWUYyVUVjY5oZ0+awuClDKpXCcRwC3yCER1ub4IUX5rGuqY0gq/BciXTKeW32Uj557rVc+OlPMXH8RMDwyNQneWHaf3js4XsxQRC6ftnPa2lVTJv2LvVNXRjlYJTG6CRPPf062S5BR0c6txArACdZxnMvfEBRcRk+0rq4A4IE11xzE3fvM4Fzzj6REUOHIIXDe+8v5f4HprJo0QpKy6qQrkdF1XDuuPMf/P3vU/ns5y5hwsQxuK7D8uWrmDHjNR5/4imKigdRlEqRzbo8//y7NLcoyssriCIEjAlwnBQLFtTxzHNv09gaUFpVglABHa2GZ555h05fk0iW5L4HFShEyuXZ594myBorZ0qD1oK65jQnn/k5vnLFBew9aSKuLGLatBncc9dd3Pr7/8Hgo7T1C9gZyrMAm1tH41AkFBOq4eZf/Z6v/O+vUYkyXOGEHQ2cKGOT2NAjFkXmh38J6+YgEbQ21aGUj+eVUFpWipR5s010KVKA1j4tDU12dVIKagcPtanPMGilaW5uxvczSNdFAYMGD0GFxQy1zuBIEIGgtbWNbOAjpcPQIbWUF2eY/tSfkG4le+73CXCLbbCr0CSSCdauq8fPaqR0KKusIOl5tLU2ku5IU15ZTaq0BExAc91agmyWouIyissqCLSPcF2y2Szt7e0EfoAxAs/zqKkeZNMHC4GQDsrXNDbUIxyorh4SDlTGZljQAfV1dRjhESCpGlRD0nPxO9toaWmAZIKq6ho8A0YLjLBae1dXJx3trdYEC1RVVZNIJFFBgCNtFgs0rF5ThxGKispBJFJJtA5wpYM0mubmZfh+gsqqoUjXw5gsNt/YlmPCBCOOAU8IVNNS/vT7H/GJ8z5PmxFhmtX+t04kc447YZSN0GA0v//2V3ni9Q94bUkdCVfgiAIfVeNiXYjUhk+8TbBZ2IyNDCQIfNpamwFbi8pgqK6pwXEctFH4vk9LYxNKGypqhuF6Lo4JKLSQ5EPSTZh1CrRxkCRpamggCNIQZk1JJFOUlZXb48LYjaaGdWQzASUl1ZSUlqN1gHTA6DQCQTqdpbW1w04CWCtMeVmVfX4IcFwwRtLZ1kVHeydCSsrLS0mmkhg06+rXopShvLSSsspB1K+cDyJFWXkVXiqBNgqNQApD47pVBEFA7dARCOniSoHUCikd6uobCQJ7TeXlg/ASDq0tjWQyiqracowswmTq+ee9P+eA/fbjxp/+mdvveZiM0XR2dQCaQYPKcV2bNtnmOBEFxvMdK4wkRUCiYzl3/PaXHHz6Z7AlVfuXQORg+PhH9+D0S67je4+8RyJZjNQq57Il+uH4ETMwCJ2+EQhby4gEwnQxySzmW5ccw5TzLseRLkbb1Kl51yDLzuq5kaT1u+9dz6w33+bp+XWk3HxCHZHzy/9w12cEZNPtdLa12IVfXIR0854FofUaY0gVFVFWXk6Q6aK9bjWiqIKKmiq0sgl9XOkigixN61ZjgOrBtTa61XGpGVLNoiXLMEqS6QzQRlBdUUlpop5nHr+Hmppqrrzu10x9+lWKihx0uouWpiaMI6msHYaRDo72aVyzEmFSVAyuwbrRS8JEuDTVr0ZpxaDaoWEcfGDvkEiQyWRoa29A+QGOI/C8JJVVtTgygVLZ8LsPZTsjaGhosEH7CBKJBGVlZXiJJEE2a7OPGU1TQz3aBAwaMgaNRmptsz26Cbra22lvrsM4ktoRozGBQSpNU/06cKCqegjKSBzXQWuFFBnqVq9CCIfKmrE4jo/nCcqrKli6bAVBYPCzChMoyktLKU4FTP3XLxkzdiTf//HfuevPD5MqLtqGvdVgTIA0PhOrFFd86hOcdfWvUCSti1/IdrWQ2E5uBeXyysqCR1OjTc9p0tYqQbhU1tTmboQfBjgpBDgOZdXV4d7hUdogw0rLUjqh5gTlVZW5M2eVT0ZlrSCpNEoZpCeQroPWhqx2qBhU2y3bVWA0xWWVFJcBCPwgQKCpqKoFY42JCg2OgzHgeQmqqgZ1a5Ey2qa0M2FgrQs1g2vClG35IowKAdKjasjwbm3TJiCRSlGbGo4SYHSYp0uE3oIGEqliEqni7p+rAenk2isQ1AypKbhnGhEKToERlFWMCT/XutfFMST9DRN+b4AAx/OorK5db69o5cN1k1QPHmqPFCLsi+HBuTMWnt7FmMjNL6BiUAVQ0eMKwp+hW2555ZDcOTWBXaExBkQCAySKPGqKSrqdw1fZsOtJ24eBotIiikqLcudX4YJHTU3+/IGfpmrw6NxV2NUsK4pjBNW1I/LXaEApmzAxUIbyqqpu16CB0spaSgEhNEG0GmM80DbTS4CiuLyEZEkKMEjH6REAv94d3GGEBYn7RPa3mJgYy66iQgsDyWQpyWTppncGu1DleZQPH22jHpTOLaJYd3WXyiEjEdiMXGDIppu45+47uOP2v3Hfnx/E8QyBgqTbyE9+8nVqh5RS19DOrDfeIplyMFpZ+apmOEiBCWtLYRxqB48GYwhElEQ3zDppNFXVg4FQmRMgcEJZzpBIJqlODbNtzrc+zHAF0eqJCutcVQ6qWa/tvm+zYUWOblXVQzHCWnaEzCdAUoEmmSomOXSMjYz0rUxnpEPV4OH23gibWEFrW+vNGElNbSjXCZv0RcoMd/zuNzz8739z190P0OkLtOMjVDPXf/MbjBw1kuZWzfSXXyOZTCG7hVR8OETYTmGiQsa5N7pNlds5hqS768LmOjJsbL8NH2/YWMJxHb5tCn0JhV3O10rnAvgjembNCG9nXvCyO21Ga7pfVvdLNBtpq8lZpgp32Pzu0eNaeyHKZtH9G4rZlcgVJe39XT68696Hc1/a9JH2/Bvbr7f3CuxYvR9jDI5I4kiBj4fGw0iHQAgyKkAEPo50cKXbbRF057tnhBpJTEzMdqfQuXlDI+WuooxsDRtbwsllkoqsom6CwM+QzXYyuKaIG759OV/73DmsW7eWjJ9l9LgxlFdBxknx41/cRkNrO9JxQkuNEyoV5MZHAbkK7oWDuI1BjPYpsMeKfHoTevwWHZc7W5g0aHOyrwnsx9k9XVtDLHpDOrlZ2PY1GX1YdLV2HjP5O2b/F1a8zf10CfxOyopcvvG1S7ns06exfPkqpDQMH15D9aAatCrij7fdzfsLFlJcUrVNF7WsUUzkblmklPR8NnZIHRLY2aKudZnyUkl83wXh5LRJEaYm7VaQMjpqvc5k/9Y9XvkwQsimjtT5j42JidkGbM7TascFl0BpwCUQHtpz0Y6LcSSulwgtMORSgu98ZSQmJmZHEi0p6pyrbndyykpUlyleLNgkplAxiF4T4eKs4+KV1HLdt37K/37rq1TX1DB4eA3S0aR9xbrGTr793R/y8sx5eJ4HWll5z5H5cxuD0d0dqbt/LflFHUPBunMv392Gvs9cTZqcFrQJIa7AUFBoPSi0JkQ/deT2RkENux7nsimChT0HoIRABwm+e8PN/OB/v83YURMYNqoaE0i09mhq6uAnN/+S+x76D0WlFVhfnB0f2L6eQmJ95ERBlcvuWSL6JQaam7KcdfZ1JFOl+IFChtaBXBttIE1B8JLotbMZ8vtEx2/nS4+JidnGbM5zpU2AwCDdBN/7wa8pKy/mgyUrKS4uxk4GxIrIdiIalwu3wkk7JqYvoIWNHOvpYdFX6f5M9SMFyQBGI6SDoIgnn5nNA/efwj577UllZRmu59DY2Mi8+YtIFldSVFyKVmnrZtWLjaqn2JZbrY+iqjdTrBNiI4NSD2+YTTWv99d7u5DCvQvk1IJdhZBExSl1OFEZJ8H0V+az9/4nsPekSQwdVomUHm2tnSxfupxMoCirqEZpvdN6ci91SMTGPJ/6KQLPK2X+wnqQDSSLSmwF0YJKzFFu7ohocJFi/XiKqHv3m4c5JiZmi7EZTiQajxVrmlCr6slk04BjS1SZnTdw7xJ0m2BjZSSm76GFzXKohSZXz6JPUuBXKvqvG5kIZS5HeAwdPoa1DR3UN3ehlMJxXMorh1h3Ka3AOD1E940TxRgKkXfEM9GqU2/XEsV/9KozFFgvohNvBUJs5Lgei2EidImKMqXqHhXvBQLHSTJi9G50ZAzz3l+L41iXMJkoxZVZVFiQ26a62vF9pJtCYkLTkghd6IQZOBOBMeBrZWvMRMqIySsVhcoIRD5u638hG4sziYF83EFPx7aYmP6GCTO+GDK+jwGkY121ulcT7jtsi6ifvsHAaEXMwKbQLrIx2bGvEMl1/Zf8xQdBAIAOdPjTt3sY06OG1Jade3MXmvPKysY/x17G1iUKkhtoQxQ52V1GDWVZrXLplXs91hiyfhaErUQPYbiK69rsrdt5FnE28l53hQQwod9YYSBNLji6R4B1v6LgyxGhKatQuVivExowG3hyjTEFvoExG8b2HhEquTEx/Q7RPZlFXycfHNl/iUYNTTQGa3ILHAIKSrbHxOxUJIWVpnuPOe1LCGH60Wi29ezIxeJeP8v0cODbSm+a3ryVjO4tlCAfhG9DR7as/dGYa8zG1IUPj4FciukoOKIQV4Rx+xqN0qC1TVW2vs9uaMLKaVADiy0xYW6JMjLwH/1CrKCQV+7ClYrcQkL/1Wg1+ZgjU/hgGBBGI4wOa5WYKPqOOH1yzI5GIHCERPZzd1ITjiXaKEyYOj7KRhMTs7MIZzjAhLXZ7CgvjSEb5Feoo327uUrtVOw1KKXyKeJ3MbbXt2DMZljLt1Jk7tVaU3CuvDdYJJ/3Nek8ygoGURoB5SskHgDCuN2+F1cUPDAKSGcC0umsLa5HlIc4H9i+sSSh/ZotadYW7NsXhqIdS74/GQyphEsmnUUZKyxFPamvPTZbTNjMdDpNeWkpSa8BjMamBoy2ft7GmH6HFNbM39zcsrMvZasRgM76JIS0xcFM5AtdaLeP9oyJ2ZkIhDGUpRJ0dmWA7qvVBr3BBDk7g7a2FopSSQxmPTf1gUzfuPvbiR7DYN9ra37M1gLKS0poa8mgsUVwC69X5g4I04N1dBgy6S4qy8vCle38AX2voTF9E4E2hmwmy/AhQ2lv76AL0AMl5sbkFaqGxgYqK8pRgW9fM7EyErMT0YYRQ4fR3NS0s69kqxFAe2MrSemQQITWnkI3rdhlK6ZvoJE4KKrLi1ixuh4odHjve8Hj9evWMXrUKFSg0GrXUUhi+g7Dh1RSX98KgMHv9p7sFqQNtAPKDygtK0YjMCb/eMXTQMymCWNzhMCRDqlEgsamJlthfoCsbEaVWwEaG5sYOrQaE1a4ty9rrL0x2mJitifRyCxJZzIMGzKU1WvqdvZFbTUCaG9uJSEdEkIgC1wSYmL6Elo4CAzDaspZtWYtYLMc9bXeGl3P+ws+YGhNNV3prjA+IVL2HeJnLGZbY2cljQij010DleUl1IcWfE222/5hba/IxQYyQHNTCyMG11gHLSFjZSRmMzE2liLMKiF0wITxY1m8anX49sBYkZGhmR7gtTnvMn7EMHAMJoyRiZ+TmB2H6PZTqTS7jRvDy6+9tfMu6UOigUUtnVSXl1KV0EhXoEM3SGGkTW8ZE9MHcExAe/NqxowawquzZwN5v/++ZB2JohnnvD+fPUaPReosjoiUkNiiH7N9ECgEARiFBIL2ZsaNH8u85ct63T8qNpxzzQqAx598mgP33h1XZ/CczSvmHissMRD1A41EobtaOOywQ/jv8y8BAyjEuyBwbN6ytSSMYmhtBQqNzXyue2wxMdsbBSJDUdJn8r6TeH3ufDyZ3NkXtVUoBO3AzJef4MB9xtLmh7kfTTzPxPQthEgzLKkYN3Qo019/E4mDMbqHZ3wfQcCyZp+Gxgb2Gl6O67o4JgGIMFlRTMz2wGbUksIwclAZ5YOG8szMV3vds5uMGK3tvjVnLmOG1FBblkSp0De+16mg+0MXTxQxUei6awLG1pZRVJxk9rwPbO7pgtiL/k60rtQBLFw4n8MmjccEXWgdrzbF7EjCBLkmS8LNMnhwkg6/jfmr1+Hr/pkRMZqHnnn6ST46ppJik80lVy1MWbrhkmUxMduPwn7nZZo5cHw1a+vraelSueWnvmQdyWHs8tgbc97mxIP3paurHYG7y6QCjtnxGCQKh0AIvCDNHmOGsrqxk/oug7C+Jt32X2/RWgAru7LMevUNPnbgvnhkbWh8t8qN3cPcbSLUuEPH5HuEVFlOOvEopr/yMu1+FEHSBwfpD4Vtz33/fJDjDtiPYqNy6UoHWktj+gLdo/mMEKgwUURSGNKNaznvrE/y0GOP5fbuvyK7x8w5CxmSgH2HlKCFQAs7XUXWEpAFM0/hnBSrKjHbBxOl/DUCtKbSdHD0Yfvwyz/c0s3xqa/VLoquxRVw1/3/4ORjpuB2tuBKEEr3XvAiJuZDohEoITHCoLpaOPnoKdz30D8BkHJ976ucQpLrjsJmCP7T3+5jygH7U1ucRBhlF7eN3X39B62ne0pvbiubs+0sNnW9H+bYvrptDZseYgUajzS1KcUek/bkj3/6qxWfRPcq9/2VyD/YxtnaGj6zV7SwcMH7nPyxg3CUj9A9rYkf9p7v7L4Sbzt365kYUWKExCDtKpMUqEwXH919N6qKK3lg6kwcwISpJPofBqSmC7jj9ls47dA9KPGb0AKUkGBs9SxpClV/08sWE7NtsbVwHFxHUkYLB4+uoKO1lRlzFoTu7RrIKy59hWgxUBlY1trFMy+8wFWfPou2ljUIEQe0x2wvJNJovGwzUw7ak7auDC+8Mc/2tl5SYa9nITEYssCytjTPT5vG+acdT1J2IVBEtpANdd7c6Qudfft7iq7NueYNtXVnbzsYIQQYH9m1misuOZcH//0fmjIGKaJhemDQLad8mPTht7ffzalHHMyY2jKivHTrfwU9hcvNIXIOi6eILN0AACAASURBVLddebN9SbI+BgdFhau58IwzuO+BRwpyu/UtoWjLsC147KVZFHet5KS9q3FVF3bFLV8dyxam25zE9LvycxSz7RBoDJ7fyli3kTOnHMDNP/8NAAq9QyuEbykCcBwXAfzy1ns5dL/dmTyuFh34COEgRdxXtj/9VSDeOkHTQZPSWcaWSs745Cf41T33YwApnF4LSjoCcUP+lHlFwgHemfsep5x4OLVDBjF/8UqM8WwmIVHofCPofe17Qxcvt6ph25dN3eyNXVvhPn1t27J7vekzio0cbVGdzXztgk8QCJcf33Kv7R3dDuhPD+HGiSYf47i0pANUUyNf+cLFPP/K2wRGoDekhuUUdnv8pu+5g/W3jLddcbNPsQkTJ0Z9yL7mmiypjga+dMGZvL9iHbc+OBX75O/sMXUbICQaw3szp3HFZ85lTVMr9e1ZMsbFSElUOws0eTmwME6t0G0mX5Z116O/KqV9D43AFWlGmHV87hMH8dh/HueJWW/Y59GY3hZ9+xC2QKPruGQDzbz57/K9677FczNeoSuTtVW++7BC1T/ZlFzmsPMXLDZn25gcueFOnzA+lY7i2i9/gYeff4HHn5sFgMSmxu6pOXRTSLp9jIC0gVdensFnzj2N8qJSFixcjpEOGIMj816ShXYTIYRNFSy2tGFiow3bvnwYRSk6ti9uG7/XW67iRP9BNPEbBJ4EVICbaeKMYz7KXhMn8sVv/RglwzVaE8neA2+wE8IO8p7rMXvJMqqKEnzqtOOY+95cWtIBIsxJ70gBJrJSirySJtav89Prfe+lHlC8DeTNIITAFQZhgvBFgRESYQSOUXh+mkrdwQWnHY9TlOC7v/gdSC9URvov0dULGyhCc9qwbP5bXHHhGdQ3NFPX5qNxEEKipCIayxwDCOvmZkTeamJ/17m/o0306uY1EDe9kz+/P2zhMwfkF95E7jW0RGhNsUkzNFjLJR/fh2UrlnLzXX/FDfePztLXsXOQYXFdM11NjVxx6Wd4e/ZsMsoB4SCMtbHaMcjua6Lf+37zPjwCOz9vl83YMUroHr/39c2AMOGYbLd87Ljt+UZgDRZGkXQExu9iWKnDRWeezLwFi/jN3fcjhFXB8nT3uXIE4oYNfS9SQLsPs156kYvOPp1JY0bxznvvEqgAIRwcKRGFj6EoDDA0NpVc2JCw7HuYEm9D2878b+uuKd/JtmLb5P3Ynls4yJDvYKbg940N3AjClRQDWuEFnRSrVr584RmMHz2Mr377+6SNLYVjDEgRKjIDdPVFCoExGikdZs55lwnVKS7/1Jm899586ppbMdJDCBcjrLlfG4PtOt3Vu14xhY9rzK6CECL3VGpBWA/Kbq6C4qCTStPOVZeej4/hOz/9NWkDxkTPcf9GFPw0AlbUt7Fu0Tyu+Mx5ZFrqqauvIyskWnoIoSN9DQFEoe65Jys35pKfWIkVkm6bsALnrr4RCVW51wQSB0cElNLMWK+RK07+KMsXzuUHv7oVRWFihf4xTkfqlovhg8VLcLOtXH35ZSz64H1WrmsiWVKGNhqlje05wpa2Q9jVfGu1lbYm0A60FO+oLbegu8FF9a1ZFKbHz+j3/jRWh9KKyLfASoE2wUrUEscoRFczY6o8vvr5C1mw8H1+eOs9ALjhHTa5M3Z/aoRAFNyRXm6OdDE6oMyB3/zPdZQOGcyfH5zKvA9WUlQ6CF9LskohpMRIiTaQO6XpX7d7VyOan7v93ct+UkqklBitEVJgVBZJgKszqHQ7B+w2mAs/dR5vLVzJ9T/7LQlhg+cMTsFKpcX0bZv2ViOEQBuDIyVKK8478kC+csnFPPXaHB5+ZjpZ40HCQ2mFXSOwPrva9HR/7MnAvF8xG0bkpCMwOlzZD3yKXQflZ3GDLIftuyfnnnEi0195mZ/cei8K605iQotd/6dHG4TEMYa9Rlbzoxu+x/IuwT+fn82a9gSBk8AXDoH0rGVeG7QRCOmCEKhAYQBHOPmJ0PQX8XFbsIkIvtwCU07k2DURGi2s9VpohasNjlJ4dFEumzlitxqOO2Av/v3Iw/zpn4/iE6l7/eueiVCiFAY8AYHRfGzPsdz4ve/y/BvzuO8/z9KZ1Ug3QcYPEK6LAaR0MFrnKtH3r1ZvPlZ9N9s47nVjY3L/Gq+FEAgpUUEQxg2DawwJqTDZDkpdzXGHfYRjjz6Shx55gtseegzHFajA4IYqTM+Mq9HSyCYVEoMA6ZEAAp3l1CMP5AsXf4a2tfU8/PgzLFnbQnsgyDoJaxGRubk0d+EDteMOBHqGscleng1tTG7C8rNpZLadyiTsPaaWs089Hoqr+dWt9/L86+8QAI4ATLhytIsoJBBN6hKNRgrN6KoSrrjoAvbdew9emvUqL7zyOq1pQVpJAlycRBHSyNCCtCFhYCClA4jZXIQAow2BUqigC+G3UVWUZNLEsZx2yon4WvDLP97GzHkLSHoevu8TiZQDo8f0GDdC2wcoEsAl557GeWecwTsLV/Py3BUsbEzTLMvIaEHKMaHLsGMXygRobXoaeXeheWnjPSKnjAxQC/ZmEbr1aaGQaJIYTGs7g0uTTB6V5MRDJ7Nm5XJu/sPdzFu5CgdJ5FfR35S4SCGxv1sLv9aK6iKPL152IUdMOZQXp7/Ek8+/TGfWkNUaIT0Srpc7BrovZg4ktADpONZFaFuwwZTK/XMUMkBW+ShjUEGAUZqE9hlRVcK+E0Zw/LFHsqyuiZv/eA+L1qzDcSRK2TEoihzp2e4NKCTRW4V/FQYDWneABHDS4QfwpYsvorKkjHV1jSxZupymlnrmzZ1DJpPGCYMOA62ti8qAQobZKmS3+6q1RkauTAX79ieiqy9sgTGGVCrJ6FGjGT1qBGPHjmRQbQ1NrS3cctttPPnaB+FqkYMbrdCK3h1HBrJCYrGuaUYIhNFooxlfXcq1l1/KwZMmkM4olq9ew+q19XzwwQKaG5utwX+jt2Wg37NdHLH+N6y1pqS4hPHjxlJTU8nuEyZRVF7G8oZ6bv/Ln5n22jy7Y5jCTob9beBUhMob9aPVNCklOidbBxQBX7zoTI4/+liSxRWsbmxjXVMT69auoamlDa0LxyDR/bSFnzQAxqQNl5FQ2AyZBkESYyRCGJQOEAh0lI9tI/cgFxca/W5fzH92wbFGr38e6wrVhwUvAxiFlIaEJ6mtrmL4kMEMr62hpKSYpUuW8Idb7+S1RSvwpEugrdqvC+Si/vbUFSqfIpQPjbFpWIaUJ/nSZZ/hhEMPJtPWwfJVa1m9ZhVLlyxh7bp1aKUKvCuiVBv97x4UUtiHNeTmcKRAh1F5rhRkVRqt2lFOEUYmSBgXD3JtL3wONy339uFnYiMYACEoKytj9OjRDBsyhIkT9qCorIIPFi/mljvu5tUlK5FIVF7V6ObmFdFzqaQXhWRzL8oeNqw4xZjRo/nIvvswYdwYxowciudIG8QrBUrrXtN79V/s7dRGMaiqiuaWFkQYpqPDyshSFCgq/fAZNSJURCO3EWPIZNKsWr2ahYsW89qbbzN30VLa7VwWiQvWB1NGLiO9f+cDYfLfHISQYAxCClwgo+3N2mdEFWNGjWby5H0YP248FeXlNhZL9J4FqH8OWTFbgqF3gTKTTrNy9UreencO770zjwVL19Icvdlt3UMU/LsrYOPTEBJMFoDhNVWMHTmS/fffj/FjxzCoqopUwkPK9ReEertPkbDdHzG9KLQQueRqJIFdz1cOShlGjBjKunVr0Fpu0Sqw3Iz70+v4Lvq+DSHQBt/Pks5kWblqNfM/eJ85c+Yyd/FyMkQRARJbiz2cFwEraPW/Oa23vi4QSCEIdJBr0UfG1DBy6GAmTdqL8ePHU11dnesHOeGyIOFKf6WnQgJgZPQ9axwCPCQJbzX77qZYujrByrahIFO4PZSx6LfuCskG+kguSLx/YYyhra2NpUuWsnLNGl6e9QZzl9VbDxmse5/Ser2WbTeFBOjlK9h1SAl46aWn+PSnL+K9xWt39uXseJxUKEkZMJp8Vo6ND0u7ikISkVPqBNZ9Te1a7Y/ZdggKFJcCDaY/CwJbT14EiGRqPaAWvrYfr858gq98+SpmvfHBzr6UPo8rHAJjF5Nk6C2yvpjV/+hdIenuhhVEySDixypHDfDMXz/Co0+v47t3r9rZl9O36GVRNTddbabct37t9i35fPJrc5vK7TKQJk0DfOHLFzBx72Fcde3lfOWqH5LyQrmcUDM0hXv3L6xJLu9rGnUmKR2UUtaFQmXovjIbmizNppWSXYkoaF0agYuDBvycC0PB0uZGHtj+5fQXs6Wsv0ZmiAoDggvSIENXmNBLIucmwSbG3YFLPotWzksompC2UICKHse+v47fOxu3kEQxnJrAGD53yanstfdofnLTDRx3woXd992M5m/AANJtgi88jcn9s/6xfaXf5lzRrC9aWE/EPlfKKNyCEbivXPP2RgAJIzBG4Pd4oPLPiQz/7ZlNqv9ROIra1qrcO/kBxUWLgFSRh3bC5LWug2OEdd/vec7eHpYBlDUzn9FR2dZHrn+97Le5fCgLCXQXlramDnV/oPvjZ0i4MO+9GQwfXkVzi8+UKSeyYNGaHl2y+1H9iU0bESX5h1QxUB6wmJidwZaMmVFod+GxA3HM3Rqi3C0buh8D1aa0ybFaGFxpcIVhxvR/MWnSWNxEBcce/UleeWUOAZvuU9tKjOpPfVUWqP2F//anNmwNhb7+vcl3eTlP9jiiP1P4rWqsPSwaTwzGAUSCKpXmlX8cxH2Pr+N7dy4DKZFm/SBt2LW8QQpb+mF6woeykPTGxiaE/o4ILUFXXPFFhgyuResslZWVXHXlVXz12u9uxJu0/yklG0cT23F3DAP1WYrpwcZGcbO+cBCzPtHK7SZu5cBko1KAIVCGCy88nX0mTyZQnWhluPEnP+HIY08N+1VUBlB3O11hOckPExbZn8TVyKa0q7qkFypd+YiZ/N+RB0Wud5jCyhL9lZ7XHxCNKAYTmiHDIn4mL+f11q+jTKX9/Y5sDvmQ9W3DNldIBjJCCAIDF198MU3NzQwaVExzUzPHHnccY0f9lqXL17B+kuOBKrzvCo/bzicyhscMXKJQrA0RKyLbjoH4PG2s/0Tr+lLAxRd/lqbmZqqqimlsambCbruxx/hxzF+0GAfQBfNUPLpDfBc2YhHq9qK1KAwcepHXzK5gG9v5fGiFZFf6ijSGVCLBWeecxcgRJfznP//ihhu+z/MvvE5ra3s+HKDbUbvSHYqJidlSNiUgxyNIzMbYnP7jeR5fvPwKvGQnb739Mr/45a956B9Pk05HFhER1tTYsMtWdK6t0ej6qvdKb03Rm3h/V2cg3pOe3bP3hYs+2on7ANvKM2q7KCQDscMCtjqlMSxaupbA91C+w9o1Tbz73lL7Pr0VJRuodyNmRxAPgbsG8fe8Yxio93nD7dIIBEopFixdzfCawbiuR6ASLFq+GhFGSujQ8WJjrii51wfqTeyFXaipH5L+7QXSMzfUh5HaFD3rkA98ttVzErtsbSFRRhcpU3R2ajKZMLxLyF0qiClmxxH3qpiYbceu9jwJIQjCSsnKGJqaO2lvSwPgSQeld9VMbTExW0EPbaM3uS9+nraOWCHZTAwGY0ApjSNgzZo2DjroMOrqOwCrkAQm6LepI2NiYmJiBh7aaKRwEEbT2trC/vsfQlODwhUCpX1iK35MzJZRWDQa4idoWzGQIpG2O7bivFVMiorhnPNOZ/xuYwAIdGCtJLFuHBMTExPThxDCumVpE3D6J89kzNhRBMaEdQPiOSsmZuuIn51tSayQbCFSWG/J2sGV/PDH32XC7qPD12VcKTgmJiYmpk8ipUN5ZRU3//xHHHHUkUAUwL6hdPUxMTGbQ6zUbxtihWSLscY56bgEAQTKdkRtdOyuFRMTExPTJ1FaYcJK0QJbadr+HRMTE7PziRWSLcLklQ7tobWHIxO5d6WMb2dMTExMTN9ESgEkkLl5ayCXMo6J2fZE8SMx255Ygt4sIjUkX5eyszNg5sw3WLOmPr+H+bAJ42JiYmJiYrY9AkE63cULz7/CkiXLw1djN+OYmJi+QZxlazMRItSMjcHBZdWqOs45+wL8IHpfxH6EMTExMTF9EoOhra2dU089G6NDly3iDEExMTF9g9hCslnkFQ0pJYqAUaNqmT7jSQ6fcmhuF2NMbM6LiYmJielzSCEpLy/n1Vef47zzztnZlxMTExPTjVgh2QyECHNNC0nkc1tZVcaYMcMoLvKAqNJtTExMTExM30MIQSKRZOLuo6msrNjZlxMTExPTjVgh2WKsBcTzXFzPIZ1JF7waExMTExPT91BaIYTAdWUY3B5tMTExW0KUwMguUsexw9uKOIZkMwiLcYZVOXX4uyCTVhidD3eXiFzlzpiYmJiYmL6CDIUn39f4viLOrhUTE9OXiBWSzSJKjWhsnAiSJYtX8oMf/H/2zjxOjqJswE9Vdc/s7L1JgACBkAAh3JBwH+EGATnkEkH08+T0QAUURVA+P/EEUUFERQVF7huJXAHkPsIZCITcISGbzWav2Znp7qrvj+7ZnV2STTYk2dnN++TXyWZ2eqamp6r6vd+fMXv2guQ5DidasiAIglCOOFi2bBkXXfhjpkx5GhD/iCAI5YOEbK0S8WUqOj885ZPNdvLkk0+xYMECdNdlFIuTIAiCUH44HNZann76KZqaGpPHQNQSQRDKAVFIVgmbeD/ijTtwecZtM5bJk+9jn332xEotd0EQBKGMUUpTV1vHM888zoknnjDQwxGEIYVSSqqsfkxEIVllit6PYlI7pCs0zkXJozIRBUEQhPLEOYs2GqUDjBFvviAI5YUoJKuJUgrf9zBGLqEgCIJQ3jjiwixaa6JIFBJBEMoLkab7TbyRa61ZurSZzs7cAI9HEARBEPom9uFHLGlsJQiDAR6NIAhCT6TKVj8plvV95ZV32GOPvVm2TMK1BEEQhPLG4WhubmbixD1obyuGGguCIJQH4iHpJ8WkpeHDqzjzq19hxIhhuOSPIAiCIJQjWmmMSXH2OV9k++23jx/TopIIglAeiELSXxK9Y8yYLbjouxexycYbD+RoBEEQBGGlKKUYPnw43//BhUzcbQLgEVlRSARBKA9EIekn3Z4QSzbbhpOSv4IgCEKZY60lDAKCsBNrA2Lrmty/BEEoD0QhWU2UAqPNQA9DEARBEFYZ36tImvxGAz0UQRCELkQh6SfFvjfLlrXx+OPPsKy5Y2AHJAiCIAgrQSlFLt/JA/dNYd7chSXFWCT/URCEgUeqbPUT5xwGmPHefL785XNpaRMrkyAIglDeOOfo6OjgjDPOJtsR4FCIMiIIQrkgHpJ+o4mAHXfchnvuuY3x47YCpPSvIAiCUN7U1dUzZcqDnHjiCYBFimwJglAuiELSb+IdvKGhju2335IgjEO2lFIoJZdTEARBKD+UUqTTFYzfdjTDhtcCJLkkopUIgjDwiAS9uiiH0gqdKCFxw0RxfwuCIAhliIMwDEmlfOReJQhCuSE5JKuFxlqFwhBG8cbucLLHC4IgCGWMJQwVKT9V8phDvCSCIAw0opD0E6UU2vnMeG823/7Od2la0jzQQxIEQRCEvlHQ0tLCued8hyefeAmtVOLZFwRBGHgkZKufOOdQOFpaWpj6ymu0t3eik8uolFiZBEEQhPLDOgtYXp36JkuXNmNFGREEoYwQhaS/KEdEgd1234VHHn2IESPqsUm32zixXZQSQRAEobww2tDQsAFPPPlvTj75JKBYHVLuWYIgDDyikPQTlSSKaG0JwwLWRsnjsqkLgiAI5UpsMNMmIs4b8Yi7agmCIAw8opD0m243t++lEeuSIAiCUP44rLVoXQwvVogIIAhCuSBJ7atJoRCydGkLzolCIgiCIAwOli5tI4osEKG6fP6CIAgDiygk/cQ6h6fg2Wensueee5HNmmRTl21dEARBKE+ccyxd2sg24yaSz0FcrN4mvxXDmiAIA4v4a/uJQhE6GDduNN/85tfwPCPKiCAIglDGxCV+U6kUF1/8PSZO3BVwSA0WQRDKBVFI+kmxitaYMWM459yzqahID/CIBEEQBKEvHA5HTXUdF170RSbutvNAD0gQBKEHopD0m1gh0dqglRbviCAIglD2GG1AQSEoEEWFgR6OIAhCD0QhWU1s5LDWSblfQRAEoeyx1uKsQ2uN1pI+KghCeSEKyWqy6MNFPPTQQwRBMNBDEQRBEISVEoQB/37gKWa+v2CghyIIgtADpVASc7QKOBxaaXCxT8TzIsIIouTqaaVRKk4cdE4uqSAIgjDwOBxGm9g7YhxR5IBiMRab+PjF0y8IRUot9RZH3N3BZxgBL9y+BzdPbuSSP85CaY2zFpU0HQVE/vsYiIdkNYiImDRpb5566j5qqzOATEJBEAShvKmqquLV157i06ecCF0lfwVBEAYeUUj6SVELrq2tZauttsaYOBZXktsFQRCEcsViqaioYutxGzF8g1oAjBbPiCAI5YFktvWbWPEwxiSu76LDW4mXRBAEQShLNBprLUoHKCKgaGCT+5YgfFxE/vv4iIdkNTHGw/dTPapsyYQUBEEQypLkVqVUGs9LDexYBEEQeiEektVAAY8++ignnHACLa2tcT8SBw4rZYAFQRCEssM5R3t7M0cfeTrT35kH4tUXBKGMEA9JP3EuzhaJbEhTUyM2qaqltVRYEARBEMqXMIxY2tRBtqMAaCIr9ytBEMoDUUj6STGpff/99uPRRx9mWEMtDin1KwiCIJQ39fXDefq5u/jMaSciuSOCIJQTopD0k6LeUVNbgzEK67pLJ0q4liAIglCOOFzSK6uA0hHgMFpySQRBKA9EIVlNtFI4LIhCIgiCIAwCoiiuruV5HiRVtwRBEMoBUUhWk0IQsrSplUIh7H5Q9BFBEAShjGltbWXZsg4UGke48hMEQRDWAVJlazXwSHHLLfdx9133kS8kfUiUwkmCoCAIglCmLFvWzPitjqAzF0gzX0FYgxTziyWfePURD0m/cYQUmLDr9vzgB98jnUoDYK2TDV4QBEEoS7TS+L7hsh9fzG4TJ0DSHFEQBKEcEIWknyRKMOO33Yozz/wiqXTRySTKiCAIglCmOKivH8E5557GxN12AlwSZSyxxoIgDDyikPSbWPFQyhKEeYyWSygIgiCUNxZLEARYl8PaXPKo3L8EQSgPZDdaTbQyaON1xQ0KgiAIQrmiUCjl0KoSbXTXoyIGCIJQDshO1G9iBWRJ01KemPIE+Xx+gMcjCIIgCH0TN/ANeOrJl5k9e27XoxJuLAhCOSBVtvqJAwzw8MNP8sC/n0STWJ5QktQuCIIglC1tbVkOPfQ4dOLYd1jJIxGEftIt6cm6WZOIh6S/uLg2yTHHHMrTT91NTU0lEMfnCoIgCEJ5oshkqpj29jN89rOnDPRgBGFQUKpyxP5ED5xJ/u9DYpZevVcuHgKIh6TfKAU4GDFiOOPHj0Pr2BUuXdoFQRCE8sWRTqfZcssNqarOlDwu9y5BWDEKnAKlCRVYZbD4Xb9TKo6P6ferliw7aV0SIwpJv4lnURRFOOewTjwjgiAIQvmjtaEQBJDct0QVEYSVY7BELo9xoHWIijriX9jORBXRdFVgXcXwfetslyF7sBi013Zagigkq4nnxRqyjUQhEQRBEMobhSKKInzPx/NTAz0cYRBTKpYODlG6fxQ/X9J7nQg4YVKKTTIFhvvzmDB2Gf9zsOadxSN57s0PABdXXHXxSQqVeD1WLMD3UEIGyUVUbu3mSotCspo88sgjzJ4znSAIAFBK4cTvJgiCIJQZReEnm83y6VO+yuuvTSuRgRIpShBWwvIknKEu9RQ/34TxVXzz1I2ojBay34Qqdt7jE5z67eeT57iuJ66OHDj0ZMfV8/lIUns/cS7ubtvR0cHsWbPIFXrq0oIgCIJQThStmlFU4O23Z9Ha1o7SpUV/h5pAJKxV1BA9Ehyla0PhAX+7tZmmNoVKG1Q6zctvNfPMG03EdVeTstorWEdqJX8GI2vjE4lC0k+U0jjgk588lscff4L62srEPSehW4IgCEJ54nBUV1fy2msv8vnPn4FNbllqtasECUMZ16WquhJhOzncED3oeXSpGKaS95fB7Q8vIk8Nob8Fv77+ZTzSfa6cvsTzXu8waFibSpQoJKuJ7/kopTGeGeihlCG61zG0b3YrMLKsFGlJJgjCukOhtMK5kEIh1/XYUN+fhfg+rNA9vu2Vx3ZIb7UYRxjlsMAfbiqwcOkwnnkpy7PTCijCJMNkRWeu+M9gvfsv77MokmpjybG6eC7RSbRKLpErvpgFfNBpsDkgzpUgKXtb/BEG62XtP3FFrdisZFWIVZbItq03n3+VUQ6c5qPtIofelVre7bxkifSJBlAGpzU2CsGYREtxXVVwhPWdos0oojuAoIgIkj1Xmg94yZ5TQKOIiFZ5PQ5lIhsl/yoimyFfKBrSXJ8C1XqF1nF515IKZENh7sTj9wCLoWfPNBV31SAErAacjg9CfGB4pWbTTTehoaGeTLriYwucgxeDAzRz+e/cTZk1P8the40nlaoCZbEuwtnBPlP6gQLPGIIgpL21gwULFjNvaQf5rt+n4luXDVH9yI/x4mLIHtYVkoeKm5MCCtTZAvUZxRajRzFiw5FUVFXhmSRmzlriOszF58cMba3aEUV5dh87mupcgVMPO4zOzpC4VnXJ01Rx0ff+dzmv2OsLW1GCU18bQVzQoY+KDivZRPpMqlJ9O+isc+Q6O1myZAkz35/H4qwlh8WhcF0CVff2vjo1u8uVop2jt2Kyok/ogDh42wEWXIgfQQbQke0Vu9qNWsHPwtBGEc+JCOhMHnOouJLL0FlGq028nor/iffhWMC2ZICtR49k+PDh1DfUk/JT8b2q5MKtLJn04+yb5XauUorKykoqss3sNnYTskcdiOd5XQVZiq+5NhJsyzFp1zlHe2sLuxIqKQAAIABJREFUi5c0MWveAhZ3RJSqIopYDO02BQxmLE5B6Cy6xDdiiU3NLn4KYDl4wmgOmLAT++69N9lsgHaGMJcjCsMBGvtAE6siNvQxfg6ynWw/IsX2x2giG6KURimDUutPtEzce0WhtcIYRSoFykvx5jvv8vhzL/PIC2+Si8AaHTs5bG9j2gpeF7TrEqlUKtnUQ7bcaDinHb4fE3fZBr+qkvb2PLn2TvK5HFHRUley8ZVuOIM1SWelqF6iojOs/BLb+Dqp7mcq1TNSzhVjMlf29mrFEXYre42+zgX6zoFRfccMOhypVIqKdJphtXVkc3mefPEVHnzqGd6Z35Q8q3itLIlINWToEopcd4CahZJtv/jdO5SGyEKtgX133ZU9t9uSrTeuZuTIjamtrSaVStFbeS3q+13fwVC6eEKfOKA5m2dRUxvzFyxh1oJF3P3w48xvi9UTrVVimVs/J4Ur+RugGjjm0L3YbZed2HmH7WlaspgwDOlobycoBGgdqyzx1VIr3XeV7mPfK3ozV+PceLtezXOhT2ts8X6zIrQ2aK2IItu1739kf18b08l99PsaSLTS1NTUkEqlyGSqyBYsT7/wAvf8ZwozlrSi8RLj6uD3Vjt0YiR1aJd8oqIArTU6Cpi01Rac+8UTiTI1vPDOB0x9awYLFy9BK0O2sxMXRuund0TZxGtk6O43khih8Vkv997EgGE8g8n4KN9R52n23m479tpxDOl0nr/d9iD/fu51QkzXOlqZbqAMykU4UhU1FHJtjK1N85XPnsyuu+7Ek1Pf5NX3FzNnQSO5XB6FIrBh3BCQ5W+oSulYeBqSE7e4OTnAB5dKfo4+aq50RTFUJ93dNfR1TdzK/UrlZnErYq1FK0UqlcIVOthzq2HsvOUodtt1R16a9i7X3ngzs5uK9t1YctdK92gMNJgpvXLFaN0Q1yOm0QARjvq0zzmfPpxDDjmUxsZlPD/tbWa3tLJsWZaFHzSSzzvAgPNYLzc6oSfKskFdBWM2HMYGlSnGjx7NtjvuyMxFC7nubzfy0rszum6RbkisppUT76qlQWyONPCpg/bgtJNOZPHSpTz1yjSmzfmQprYC2vhEYYCzFqMUzkVdFruP5yFxfeoz5bpfF70hfYfflIfSsLbRXgrP81FhJ9ttPoK9t9mS3XbeheffeoMr//43FrXmMU5hB3HwVvd6icdvgBCT2KIt9Qq+9ZWT2H3CBG7/z9M8/dYccpHB81NE1mEdKO3FIW1d8QDrEw5UBBQS5SRN11VV2URZWb86aDjnsDaW33ydTjbjkDDKUaEdu245ipMP25eljR9w2S+vZUFAEhnSt8yXrLI4ivDwCdvyra+dzRPPTeW/r7zDwqVtaL8Cp7qdfF0hJevbnFwTuOI/fW9sK7rX6JWEbPV1k+rrXIjDrlaEWknIVo/3QYMNsS5LXbXl2H0mcvBue3Lln//OPU+9hELjsBhtiGw0pESoLv1DqWR9xK5erENh+dIxB3LyiSfz0hvvcv/jz9HcEZEPI7TvJR6seLNff+N0hZ7ERg1nHYENsZFFuYDhFY6dNtuEk44+ivmNC/nfq37L/Nb2rowtnXhDyzFM5uMTrwuDTWyUhhGe5WffPw+vvp5//Pt5ps+eg2cqUMqLb5qqu7CG6mfIaJ9hsnGc7GqdG58/MOf2izU4hco9lNtah4s6GZFJc+geEzh479359e//wANTX0+Uft31GQbT7lwca7cU5xGi0DpCW8s1P7uYjsBxw7/uoTWvMFW1BIU8yjm00yWynh6sOpmwligGNxa3nGIkCC4gZUNOOXwSu263Jedfchkzm9rwlBfn26zw9fwKR5DjotOPY+9JB/Lbv9/O/CVtBPgYL01k19e4wYFDryC8qlxDAHq+UOyXD7UiUJaKQivb1FZw7hc/y+QpU/jNLfcBkPJ8wigaEkJT0RfWHabV/Zm0gpSD31x4JvUbjuT3tz/EnA/aqaisxiodW2uLCkzRS+Zcl4LYpQyWCBmirKxvJNu+cjilwEZE+SzVXsjR++3C4QcczHcv/Rkvznq/y47rmVgYHwrrqzdFO6/BsmXGcM1Vv2Dyy9O4dcqLKD+NZ2OvtdIalMNF7iNnryprz0OyNr0r0F+R+aN5jGt+7mhd/hUXLQ6jwHW2M3bjEXzzK5/nsYcf4pf/vCt5hh50OZA9Q4djpcoHClhu+e0v+aBxCdf98y7yXmXsFYkSmc8lXgDXd4i13I96MhT33BURZ5Ev3+CtiKCzlaMn7cmxh+3FCV84j2VhCoiSNbScCCvAfePUEznysEO55NfXsCTwscZHKydJk2XGihQViK1PfXtI+s4hsX3kkBQTmFYVRewliFyExZJyOTbyHZd8+xvcfufdXH/Pg4nFKa75MdgpCoFdliTn0GhSWOqBq6+4lJlNjVx3x6OkKjciCgo4F6C1Aq2IbJy4XNzYlx8KKZv++oxS4JwBHFYpnFY4a0nn2hg/qopvnv05fnj5r3h62pyuleoZjzAaWhWU4nUSr5FhwP03/5mbHnqQyc/Pwuk6vCBLqB3KOJxKwkus+0jRiVWlz9w713cPgb7z9vrerz9Ozl+8V/RXIRn8+/CawCV5fspBkM9TSY4//fQC/vKPf/Gnex4HpRO5aPAIR64YPlxUMIgwwFU/uACdqefn192AqqxD6RTKRnHEvyoWpIkNIX2+vsydHqxs7Q5JVjAHtLOYoJVPTtqe/fbalePO/CFxJUTQ2KRkSzfm8J02uexTp3yRH135Vzp1OrHMDqVAmqFD3zWtV//cNXH+R+prJ1YVjcKiyQOPP/EU3/r2t5gx7R3mLV6cbHiDP8G9K6m9BKM9Qmf58XcvoDXy+csdD2NTNbgoj1KgPYN1lsja2HLYywPS+xDWR1SvI5YpFKAii4/G+h5NHVlmznyfi879Eq88/xRL2gI8IHKW1RPDyxmPtJfC2JCbrvkpj7z4BpOfmUZgQWFxngWjkvVk4juZS8IKVkMt6TNkayUv9XHW7crPXVnIVn/fe/AI2GuTHk3ftMZpzROPTeaCr53HzHffY86HjSXPHUQUB6sUBscRE8ZyyFFHc+FPrsKv3wilNZ5z4BRO6R5h2lp9dCfqtSv1+fv17lBq4Mewjo5ulr9/WKXATzN91izGbbEJu2wxkmdeexunfVSx4FMJ6oE//NRddeNkZjdmcZ4BF1vUROcVPi7FqeYAYxSeCxmRMVxx8dc58ITPEnkpbBj0mtiDj66lqIgVMZXCuQJnHXMwu046it/ecDO5SOO0h+qqzjEYe7QK65blW9qcivNRFVCwEamUR9i6iAN3GsMnjzyC0875Hoqkt8CgX13dxDdBjSXiW6cfz/gdduSSq/9OTcMmOBuHPkZd5dZVHx5+WXVC32gde7CcjcjYAmPqqjjv3K/y6S99hdZosK0pV+K9j//5zw2/4cd//DsLllmsTqGdwziSDCtFd7awIHxMNKAKDHPLuPxrX+LsC3/OvLYsVlmUUz08xXrGglZmLlwCviYM8wy2+EihfCnd0sLQEjqfhY3LmDX9Nc757NHYsDCExCW6ixa4iM1ScOLxR/PPu+4ha724GZUNwcW1323Xxi+HHCs6lo9KyqdaFJ72iAKHVzmcF9+axZLGZj5z7KHkib2TK36VwYcCDBGjays46pgTufpPt+PXbADYuAO5iotqKNeXMlJ8JTnkWPHhrAJAaY+squGdRe3MmPk+Xzj1+EFsSooNHKcevAcfLsvy3sKlKJ2K/YiumANZWklUED4+zoFVFbQUfF567XW+eNqniFyESpp1lqJve/i/kK4iiCK0NrA+xr8Jax2lFJFzpGsbuPKPN3P60YdR58NQ2/iUjgv8fuXUY3lp2izmftgIOqlCoXpXmhn4G68c5XysCnGcd4RGZWq598FHOP24T1HvQzhIxablUbTcFoDPf+bTTHl2KllVTUr7RDbCurgZ4sri3QVh1VAop+OQY6MIM/Xc9sBDHLDfHgxLmVVeneWDSsrTwvFHHs5N9z6IX9mAclpyhYW1jrOaUGeY8uwrTNx5a0Z4CmujeFqWPE/PbGzCJiVHjVYMNQFRKCcchcixoM2yaPEi9t5tO4ZWxpLDWUstcOBBR3Dnf17GS1WjXNgjJnd1xE5BWD6OYhG8gjXMWtjC++/O4OiDDhgyQRfdVYIctcBuE/binsmPo1IVGBU33SpWpVufKtwIa4947aikB4fDeR7zlrTStKyN3Xcu3rcGCwqSghibZWDUqFG8/UEjyqmkFLCsGWFt4sBFKGVo7ICW1mXssv04wH5k6mnPS8UdF5VGJSVbBWFtYa2jatgG3PTgfzjtU8fFDw6enX25FIevkyT9PXccw8yFTSxtC9DK6/54qlt4FIVE+PiUhlfEzdt0uopX3niLo444BIiF+MFNIjCpuLHb2C22YFkuoiMfoZUlchGgUEqjiA9BWBM4wCpw1qKxqIoannhhKoccsA9Q9E0OjvWlkupaO2y/DbPnzqejIySlzSAZvTBYiXOXFMXWogWVYtbsWWy33TgAbK/KINrXftwARynienfxE0RQEtYsimIfc8+vZOb8VjZrqEPTd8nhwYJRGm0MAAfvtw+vvTMDSx4XWZQTIUlYWxQtnHF1nIKCl96ZziYbVNMwlDbx5Ma10047MWveXIKogEvKioMuaX44lD60UA4odGzh1Yr5Cxex2SYbUQcUVZLBMOOKwZubb74pHzY2UZWuTgxogrB26a465nBoli5tYeSGI4q/7fFcHVcFInl6/MvBoTV3C7jFjUEoX+Jvy6HQBIGiM6+o8FMMq60Z6KGtEbTShFEAwNZbjGb24iZSaY3RSqy2wlqkKIQ7nFNY7dFhLa0tjYzefMTKTh50jBm9OfPnz8VPeYkhIzamDQ6xUBiMdK0wa8kHAdoz+AaiQVWLNB7rqFGjmDN/AQ5F1EczZEFYk6iSn5Y0LWOjEcOX+zwdFWtGuOKxtgq+LU+BcL2OvnGq5CBu3FM8xDpW7iTzTFksitZsJyhLOp0e6IF9TFxXYpZBo4CGqiqWtGYBk8zP0rmq+jnrBWFViGdSpCDSHtn2AjXVNckcW5XeQeVKt8IF0DCsnqVNTRivWyFBOVC2+xCENYTqmnsWlKG1tYN0ysOkBkuwVk9q6urJFUIilewMIjIJa53uLEDQNC1to7LCB/iIl05HGiwO62zXsXYHViqG9S+aXrmSI9bxk9g0KVNX7pQKRviG9kKOdMrD9/2BHtoaI8KigWENDSxctBhXVEjUR1VvUUiEtYFzkCuEFPIR9bUNXY8rFFppdFeuRc8/5U98X2poqKO1tSVpqCWrSFjLuCQ7SznQhra2TnxtwBTDtQbH6oE4nBiliJzqCs13SCEIYW1SukfHuX4OQ0XKxG4E1XP9eKUW2yJrZ4GtyXcpnis3o0GLUnieh9aDYztfGcp1b/DaGAqFgLQ/eG5XwlBB4Vy8p6dT3d5HpTRKxcJHMUQXBp8w4unYotY97sFV70gYhHRNsdjCq6BEIR4sJLnBKq4cRlKAJQ71tEkO1uCkOPKh5BstfqahJeEqlPLwjEZFIRZQvRwg3roeUKk3pFRYW1nYgEJ1CX2llVeUSkLN1mK9C6XibpIqScspZ4pjLaKVxjobb6AlQx/oz6GUIgzDAR3D2kIpXaJoWYbWVimUNQq0jpO8rbXJQ8Uck9iDUvRVdv9OEIRVZTAL70rpuJRxsdzjoGZoiu3dDDVjS3fjg1LJv5R1rJBAqVKitYdNOqJq5bA2jOOxekwwnZxVPE8nt1eL0QrrQnB2rcVCKqViq4K1aKNxZZwIZq1Fa91lBXXOgi6WJnSJdSR5ThnIyAOtFK09FM7pJJ5dwgmFgWH5zg9RRAShfyQ5qq7oaVSJh2TwERssE9FwkHlHe6NdMXfYgnKJpOi6HvuoiNNdoD8OYQtBBfH5zsAaKz6jAYsmKvn/6s2XOC0BYlFdLfdTlTeJ3O6KJeoBdFeTzvix7muzjhWS0i/GEUUFSGLIwihKasn39qIkOSMKlHaEYT62AGpNEIZopfA8nyjq2Zd4TX1tzjlsFL+asw5jDFEUreSsdY9zDmstJik9i4tDN3BeMVw0vrYuQmsPXDgkyu2WI9bGDRIFodwoClJFT4kgCOsPpYqUcxD3xhqcyhXKJoJtClxRuXB0F04qvQeXFscoCsdeUk48TF7LsmaUkmQMzuseZ38lUgcoA84veY2hv1+vY4Uk/lJKv/KlTUsB8H2fmpoaSiuqQHEaWRyQLwS0tLTgnENrzbBhw0ApCkEBrQ09i4st7+vra+Gt+Ms2niEMQ5Y2L2X48OE9Xrt7mhdDxtbkpCkNUVs5qVQKay0KRT7I09rSgud7RJEl5ftUVVfheT5hWOhVu2bdowE9RNeX1gqlzEAPQxCA2BNZ9IgMtpwRQRDWBIlntGicVMUwTtenVFTOOBcSBQWUC7AEhK5ApqIWF6VQxqdbwlHgLEYpcDnyhTYAfF2NVhVxorUBq6LEULN6Skl3Vo4iKuSxUR4A46cxJkUcDNQtJbpe55ZilCHIZ3E6IgojfL8S7afAlZ8xfE0yACFbUPw6Ur7lql9fTmVlNa++9jo3/eNfeH6aHrkmiVsuKrSzyUb1/ORH36G+roEFCxu5+PuXUlfXgDEm0fa736Fb2O693FY02ZavgTqlsE4xYkQDl1/2Q37329/T1Nzc5Rj8qAr08eP+SnxDuKJLMh5Nr2eVKG5KxyFvBHR0tHHEoQdz8MEHUlVVSa7Qydy5c7j9jttY2rQEz8sAFcDgLF1Y7iilUHrwxhkLQ4+iIjIYc0cGQ+6eIAwGeuaODO4cBWchCNq56aYrmbjb1mSzac457wKmvjQDY1LFzLnkExo0FuUC7r/rRsZsMRKtMpzy6bOYMWNBHEmCTnaZ3t6M5VeBXdGV0ypFe24Jb736HyqrDMcd/w3mzl1IX1Jpb4IgYI89J3L9n79PPuez7XaTqG/YFFiPFJK177rrrkSkrMMzBY49ZiK+FzBp32149r9TmDOvCYyHIu5wrVwcs9nR3sK5l53JKSdNpFDQfPjhVpzX3EZD7QbFF0zKrH4UV6KErCiZpi8WNS7iT3/+PftM2IGRI77JsSd8mZGbboLvp2j88APa25rYaOTmpKuqiWziK+l6+dUTTNVHPC6l3pLl+DeUwjnLBsMjrr7xCsZtPZpMKoOiEt/XFMLd+fTJR/L5z32dxY3tRE6VRQ3ywe8lWb6vKb60ErYllA+DfqkJgiAUUeAI8LWhQntk6nNc+K0zOfmUs/H9DLbLjOHQGDo7WjnnrE8yfkw1vspitcH3PAo2wtMmuZUXw8BKWV6F2OWbdOIsZ42yGqU+hGBDPBMBFu00TtlERVr++ToJpY0lhyxGZzFGEwUhqiv5ZxCiumVi51xXqkbvD9R15ddNHGH8dXnGw2hDZYXCRR0YlWN4vebCC86hta21JI+EWNGwney445YcdeRBuCigIgWFQiepVJqVJQwperZj7H7UgYpAhfGxQuEx9uR8uLARZ30WLlwU57Cg6Ghv52tf+wIvT53MbrtvSz6f7fEOq3tF4whHi1XFA6yiTwVCOSh0dnLe2Wexw/htSZtqXnh+GueeexGXXvoL3nh9NkbXoHQ1jtTAW0itW2MpZANNXOXN9bimzqkkgVCUEkFYY0jImSAIxFEhzoK1EUSWsL2DnbbfjOOP/wTZjk5Qce+luLpgJxttWMEZp52CC10c+WQd2vhEDqxSPWW20karqtursVwlRC1PtFakjYenNTbM43leH68QUxpOG+cEF3BhCKHFWdulpgxe4s8XWUu3o245CknxguqkgsTaxkZR7AGIHJ4yFLJ5mhbN56D9JnLwQfsT5PN4yiRKRETj4llcdME5ZCrSzJwxl3w+wGidlI1d/nhL7dbqI0WBFSppWme7wqKW3+1doxg5fCQXX/RzDjn0M1x48U/YeNNNsM4SRiFjx27MZqPqMAqiwKfYgGh1r6Iq+aHnMugOX+tOyir9rI4N6huYuOPOVGUqufvOKRxw4Od4/InZ/OPmpzng4FM54MBjaF7WEYcTqYGPJ+/5/oNV9QcSj1jvriODNllQEMqJXsuod5WjYkGP+BCFRRDWF4qFeqyFV1+egyvk+eZ5Z1BZpYiiCOccvmfIdS7l7DM/zcYbbsC9dz9ENhsA8XOK+Z7KxR4KrRQ6LlOK0Rrs8vNsijtNFEXYyGIjSxRGpHwf7UBFFmUtOJJCSLrLqlxs8A3xfqaTUtLWOZwCpQ1Ga0ziFFFDYltLTO02rqzVp4dkXRLZuHhZ5DyUMhTyimuv+ythlOPSH5yDMfH3ZnEEQZYD99+dfffYjVnvzWPyg1PwvTQoCKwjVDpROpIKXc5hwwAX5HFhEN+sVNIjXINVcYd3wgIqiDDWwzgPG+axYQ4bBslMS4R+F+FsJZWpYSxrzlNdMwKLRitHRUoxduwoFA7feKR0GhdGKGe7LOOxumNxYYANC0RhiLOua7zOuu4FYCOisICKQjxr0UEeVcihwwKe7a3q9IxF1CiWNjbS3LgUCpYxm2/OmC22BO3jpSoZNWosmUwtnZ1B91QYIHl5eYqQyO6CICyPHspH118rUviHxJ1bEISV0NXagFjOe/6FmfznoWfZYrPhnHvW6RRyeVCazmwH48dtynHHHsGixcv47bXXd4Xxxy0SNFqpWCZzoKIcc2ZMY97Md5j57pt0ti/F2SCW5ZTDOovr8opEeNrS2tLIgnkzmDPzbZoWf4B2eSyWyEWASvJ74+pbSiny+Q4WzJvFrBlvM3vWOyxr+RCtLEobIjTWWFSJZyaWh4cWyw1ZW+ejIInIU+BUPJkqKqq46R8P8cLzU9lydJpjjz6EbGceqxz5wjIuv+wiKlIprrvmb7S0ZGMtNmmGaNEoItLakmv5kFEjKth7wmgOnTSefXYbS006INu2hIgChahA5ALC/FL2mjCGSXuMo9pkKbTPZ5fthnHo/lux94QxVPgRhXxHPFYFHZ1tbDmmlv32Hs3WYzck397BBnWVHH7AzmxY65Exmv32HMfBk7Zgvz3HQVhAK4WL8uTzSzG0sPO2Izl43/Hsv9d4thg1nCUL56FtXGrOGNAuYtTIBg7af1e22LSOjmVz2G5MPQfuOY4dx22MDtsxriS0rEduWmwhrKio5D+THyPIB+y267Z8+X9Owdk81jksjtBGaBNgXQF0UspYQiDWGL3b/SglRQMEYc0gFgtBEEpJcjuUBa1Qns8VP/snjUuWccbpxzN2i00JI0sUdXDB+V+lvr6Ba/98CzPmfBiHwHf1wIhlSGdDorCVk47dm6nP3c3i+S/xwcxnufe2a9hmzAhy2ZYk1EiD1eAsHW0fMHazDP/6+y+Z894zNH7wOv/82y+ZtO84lEkM4NrDMwZUHKq0rPkD9t5rHI8+cjuL5k9jwZwXuPGGn7Ll6Ho6O9pAGywhJD1IStIvyiLvd20yIFW2XNdhUUCh4PDTm3DlVf9ih+2+y/cuOof77n+CzrYOTjj+EMZvvxVTX3uHW+56gLPPOhVVzPlQDuNZVNRBSnXw599dwkEH74/vK8j4ECmy7QGPPP4M55x/CbpiAzKpDM2Ni7n6V9+ltibDty64iK9/7Qq2GrtponJ7tHQavnDmxbzwyrtUVFWztGUWF37ne+y71878+6GXOP6kb3DaCYfw8599BxcsQznL2V85hc6ggJ8ewc67HoVTKXKFJr7y5eM4+yv/w7CqFMZonDKEYYppb83l2xdeyvtzPwSvGhdFHHboXnz/u2dz7113YziRwz9xOJ5XwdvvzufwT5xETf3GFP0k8cxU4GzSrFGhlMeNN93MEYftxl57TeTr553OCy+/xGvvzMWk0jigkA8pBAHGaCoqKku+kXU8B0oUoQHPZ1kDfKQKUPHzJQlcgiB8fMSAIghCjEr2gzjsKhcGLGjMcvvdj/M/nz+SC75zGt/49o85YL8d2XP3Cbzz7nzu+fcjeJUZolJ/g4MoCth8VC1XX3UFW43ZCF9lyOXzVNVWMnzHcdx351+4/Z5H+cFlV5PyMzgbkm1dwsUXnMUXPn8SmVSGXC7E99JM2mcH9t3rGvCasdagVNyXzLkCNmzmd7+6kOM/dSRB3tDZnkOT5/D9d+PwA/fhmxf8lJvvfoKKyhTWFXqEag11ZQQGyENSROHiWDvS+Ok6XnxlOo8/9jLD6hXf+uapFHIf8s3zv0xn4Pj51X+hYNLErW8iwMUxfxQICk3ceusfOfwTB1HIK6Y88SbX/eFuHpnyImjLUUfszf13/p2wvQ3PeqS9NC7sRKsOLr3sQrYYuzUvvzKHp554m+alnVRnOrj6VxfjqQgXGrSxhEE72BwEWfA00959n6t/ez0LFy8lH0bce//jXP3bm/nJ/11DZB1R0MT3vnce377wLPzKFFPfnMWNN/2bW299lGUtrWy73Yb85S//yzZbb0A+lyV0EAXthLkmDpw0kU8cOYmZs+dy+90Pce8Dj5CurMNiSq4dsUvPJcXtbJbNR1fzx+t/w667TSR0iqpawy9+cQGZlMUGjkK2g/323Ylzzj6NTx59SBJOpuUmLwiCMCjoneeolvPYukT1cQjC2qQYNhU3d7Q6wMuk+P11t7JocQsHH7gdu+3SwDfPO42KdCV/vfEOmts7UZ7BKYdTDuMZLA5jQn5+xSVsOWYki5va+e5lv2On3Y9i4r7H8rd/3kcYtHDScfvx1S98lkI2pNDZzGGH7MTnTz8G38/w2JMv8Y3zL+fzX7yQX115PY1L2glDi1Y2lle1obWlkYvO/yKnnHAYnS3NXPzdS9lnryOZsMtBXPeHGyjkO/nJTy6ivj5DEEZYoiFT+GdVGaA+JEXiZHPf8whtRGVtLb+++o/sc8CunPHZIxi5UQWjN9+Ex594k6effYN0pi4ZskJrhVaG1mVNXPa9sxk5cmOWtiu+etalvPjim3QGwnqcAAAgAElEQVSGIVZ18qlj9+XqX3yPnbfdgi+d/hluuPE+ggI4ZbBOUVM/iq+c80MmT36aysoMG29Yy+SHrmZ4Q5qDDtyDh594G6U84ubsmsg6XMrw+jszeeONl/nEUQewYaqKW+94kocefh4/U0NVpWKXHcZw2ilHEuQ7uf6GyfzuqhugkELrgIZfXcNtt/2WzUcP5/zzv8RZ5/wvVhmUKuCrAhUVGZ5+/m2+evb36chZIjzqaocTRnFeS3G7N3F2CrlCO584fA9+fOnXqK5q4OHHnubJJ57mOxd+lbFjR/Krn/+Ac866lEJnJ0cethvHfeoYJk9+jgfufYRMZc2Qi00UBGHw07ty3fqNTYLJSxsA9y4BP1CGpaKhrLREfbE7dRw3X4pKnru8QumCsKq4xKRazNP1jAMvZHFzlhv+9gCXX3IGV/7sEjYYMZaXp87kvn8/hedncFE8Px0Wpxz5KOCEw/Znh/Gj6MgWOPvrP2Hqq3OorductkKeb1x0Bc528IXTjuK0k4/gxpvuo7Gpg7POPI1M2uP5qbP56tcvB+uB0/z32WnccecDPPLYtRgTxXkuyjB8WA2nnHQkLshy1133cP+D95POjMCkqvjN76/lmBM+yYiNNuT8r5/F+RdeivLGDJFk9lVngBUwFXe3tAEROZSnmPdBM3fdPQXfNxx91KG0tUZc9qNfUpWpwYUujt3DQymN56XpzLZz6smfwtNp7r7vUR6e8gJVNSOora5iWN1Ibrz5Xp556VWUy/P500+NczZ8H7TB86uY8uRU7nnwv1Q2bIRXXcdr78yiuS1HKp2irq6abGcnYHAYwMOi8TyD56XIZDI464hChzGVDBuxEelMNUprTvjUsdSkNXPfm8PvfnMjqXQDFdV1ZKqrWNYacOWvr8NGjl0n7MzmW2xOZCMiG+Ew5Ase3/v+1TjTQGXNhlTXDCOw8eIpxTpwLmLbcZtz2SXfpqF+GP/4xz1854KfcdsdU7j29/+gkHdM2n9nzjv3NGzYwmabDqcipflgwVxSvhff9BVIMqggCEK5oktiNpbfbWvd07vkfmlz4dKC+z1RJUHbg705nzAwONWtkJDUS3VBiHWOYRtuwJ9vuJXXXp3FiPpNiYI01/3pFjqySSU+F3coccQJ6m0d7Rxx8D5U+Jq33pzO9PcXk6msozMXonSKTTbdmhtuuJsgF7LxyEp2nTAebQyjNx+Nco7/u+IqtFeLTmVQKUOmejjzFnxIFJY2tNZsMXozKqtSRM7ymdM/wzvvvcwrrz/Ma289wdQ3nmWjkfVEUcjEXSeQy2ZxYXn0iluXDKiHRDkVJ+y4iJCAgtXU1G/Or6+8nqOO3osxo7fk7nueYPbsRjJVtRhl4tK3Li7FhnVsOGIDfK1IV2R4/fU3GD5iONZZjBeXTdtoxEj++9/nOWSvXWloqKWiwpDNBTgV4nDc/K/bqamLK2cVggAvVUGuMxeXJlMK19XAxUBSKlgrjdGGqBDF5docFAp5giBApVJks21sv+1WuCjH/Nnz8IgbPWrjcKTwTMDs2XPJ53NkMvVsvvlo3pu1AK1SKFXJ+zPnsWhRKzqdwboIpYv1tF2PbRznCPKdHHf0IWyyYQMzZy7kl7+4Hj/TgJc2/P2mB9lqyzF85rQjOevMz9DevpgddhxHR0fAM0+/iC6WM1NFC5uw5lnPdhRBENYSpSXfi56RiP7uMX2pNas3nohuZaT4WFEZKVVSut91zY1BWH/pnvfaOZyNVZNCIcB4Ffzpr3dy5RWX8uyzb/Hci69jfA+IuvNvAZQjjAJ8BVjNksVLaO/ooDqTxvM8nHNEYYS1sWfS2ZBMpQ84PM/DRhG5XBuOEJe0ZVCmE6UDwqiARsfylVLsuOPO+KaCQj7kmefepGANVnlEUYAjiD082mPBYsWIYRuQ6lUkZ31gYBUSdMnGpHHapxCGdBYcf/7LHXzr/PO55IdXkMnUopTG2gijTexXcfFG5wCUxoYh1VVV5HI5/OpKlHYUbISLLA01daAirAvI5tqwBFgXEEQBra1t8ViUivOQVbE7iU2S7m0yGzQ40xVC4JL8C6MNWmu08XCA54FVAUHYiVYhNgIbRJh0RBBalE5jPA/fT+Gn0uQKlkIhil9NKTCK5uYldGTbqa+sQmsVa/K2Z2BVpIhrZKuI7caPIZdtorOznSC0pD1FISig08P4yc/+xLjtxjBx5/FcdMF5OON49vnXePnV18HUYa1LSt+tk698iNJz4+iRk7OGr6tLvFlq0JhOivO2d6jJ+rLFCsLaoCjwF5UBFTeKW8V8wDVhguoW60q9IvH/u1d47zXvlnP+0CtpKqxLEjkNiEvkaDw/w30PPMXRR77KX/56B2HkobSNA7yUjr10ymJdnDLQsqwTtGabLbeiMpPBOYcxJq5QGuWprctgPE3kPGbPnocDcoUCDZU1bLPNVrw3+3k8PwMoOgvNHHDQ3qTTKayz6MRZOGXKFKz9PL7ncckl/8v0GU0ovwZHXJzJEbCsdQkVNZvQUFmLV2xRofR64ykZ4JCtkt7pzuCiCExEurKGW26bwmWXX0Nn6FBenICkUHhotNOxd0U5WlqyNLe1owwctP9EOloXxh0utY/nQ1PjBxxz5CdBp5g17wM68jmKqoxSuqQCkuv6WyXxr0o5TOIU1C72kGin41E7sE5hnUI7hWcitKexEWid4uFHH0dlNLvvvjP1NRobGJxTRFGB5qXLOOCA/dFK09TYytvTZpBKVcQKCSGoiCDKxW5JF9d8KzbOKb1yURSitGbu3PlUpNOM3HgEO+28De0dbYSRQhuN8y2nfe4MWpsbSfmWzmyO3159LWEEYRTF5YNFGxkUxKWyFdYWUFiM80oOg0YnQZB9HWv+uy7OH6PjOe6cwUYKrXXPDlA9mo+uv3NOodZZE1phTRHvp8YzKKfQVqGt/sihiocrhix9fOJ1H699h8bhxR7zKMJgMMpH020sW9vEBqz4vax1OKtIpyqIIktQCNHKgCttJhcrIh+9Ijr5PIKwusSzJy7jmzQ2BIwypFL1nH/B//Lam9PRJulT12vPjcKA+rp6bvjnHRTas4zfZiSnn3wQSxpn4ukOch2LaFz0Npf84Kt4mUqmv/cB09+dAdrj/dmLCHBcftlF1FV5LP1wEcuaFhIVsnz9a2dSma4kDAqgoZDPM2/eIhZ/mEUpxR9+93M2HFZDPttOZYVPa3MjddVp7rzzz3zujNPIF0KiyCUFnOz6UWKLAVZIihYUl1hPjfZwRCjj40yae+6fjEml4saGyoFWoBJPhfaJXERN/XAuvPh/yeazHHLoRP5yzWWE+YXMeGc2BJ3cc9df2XRUAx35FN+++FI23HgTIqtB+2A8tOfFMYXJobVB2TgiDBRGGVTk0E5Dop54NvbuZKpqyObyaB1x3DEHMG/OVBoaLJ5XwZ33Pse8uR0MG1HLTTf+ik1GpGlsnI/nNfK1807ki185nch63Hffo3ywqDEuDQeAwSY5K9bFMY7FoxTtwFMaz0/xj1vupb3d0lDtc/Uvv8PB+4yjoTLP8KosmwzXXHv1r8ik09ggR5XvceAB+9KZbUVrjbMRWq8fk31t0lsYcG7tJOQqF4ErgM2ioiwq6kBF7SibRUU5VBQkHWIBS6y8r2UloGiVDaO4brq1EUEY4JyKwxCdIbbkFpJ/1z8RROukEZd1oogMSuL1HIUhCxfMZf6s95jz3tvJ8Q6z35seHzOmM2vGdGa+N30Ni9rx/FEojDOkjGLxgpm8P30athirvg6MS9ZajDZgHZ5RGKOwocVGIQs/mEXz0g8B8DyTNHYr9Z4UFar4gPXVV1qaX7N2jUVDmeJUj83GflcVUu2KV9IQOhOXAVIWpWPvibWxUm8xVFRUopXjtRlz+Nf9j4Jy/OjCL/PQ7b9j281TfOGUSbz67APsu8/+tLYrfnnltfi+TypVzbV/vJVswVBdGTD53j9y9S++wZU/PY+X/nsPE3fYEgqOtPaw+KA1FZX1/OiyK3EFjx3Gb87UZ2/lkfuu4v8uOZ3nHv8rb718N4cfOAmtFNY5IgtWmeRzrR9zY0BCtrqsK04ROkvkDMb42CiOxFI61mRTmQxQjJp1WGPIRYrQahwm3t604YUXp3Pb7Y9w0klHcMLxn+CoTxyJcz7KFLDKkkpX83+X/5Y5CxpJVVRhvBTGqya0PmGxgWZRHdAGlI/DAzyM8iEIUU7jorgzfBiFWGspBJY3p73HdluN5ujDJ9G88C0Ck2Hv/U6lqVnz/R9ew89/ehbb7bAxk/9zLZ35ClJpjfEdNvT494OP87tr/s7wDUYQRC2xo9sZnPOwXdVUVrxdK8Aqj/fnLuEP19/CuWeexhZjN+JPf/gJnTmDMg7PV/h+BU1NLbw+9UX22Wd3Tv/cp3n1zZlMefw1vFQaFbn1Zb6vM5yKrTZrGuUsO24zmg0bqlHOoIoNLgG0Jggtzc1Zpk+fSxgY0lW1BDbuGLu8mbQmwiaUUnGyII5sawuHHjQJz2jmzPmABQuaSKUyhC6HVQEOG+eADbRzdh1jrSWKQiDJnUN11RkqtTh/fIZgIIzr3gkVA2csDIM89TWKp95+iLqqFFoXS9CXBCQpCG2cKPvpU37Mh0ua4vvZx0A5HecyOpc0BVaE2SbmzXyRfOBx+NGfoaMQx6vHwsxy+iLx0RVX/P+qzJKiOpT2HWhLGGqsjUNg0ukUYdjMW9OeYNpbMzjn7O+TqapPxO5eeY99jqg3ZTh/XS+nb7/pyzA0BNfuWsXFhmUqcNRgTCVdZu5iG7Bkpy0+ppzCRR7WVmFtBc7FOcFeRSU//sV1FKzi5E8eyoRdt+OOu28hzOUICxHz5yzl+5f9imdfeAsvncJpzWNTXuX7l/6C/7v0AoY1VPPZzx6Dsx5NSzv40eW/5Mwvfo6RozbGuQoUCj9VxdPPTOPSH/+O88//Hxo2rGD3vbdn9313BDSFfIEXn5vGIw8/Tl1dDU6lQNViPA/PSw/IFV7XDGgOieenaO/UFKyKE76jCGMMURR1WRR7YDQdQUB7AdpyEWgde1VMPT+87BoeeexFvvyl09lm7JZUZjyybZY3332fq666mlffmk66ahgojVYplrXEGSKFQqxpxwnjDm0MnYU0rR2GQqDRRmGMoS2Xpy2IyFkLRqONIYoK/OnPt7DZxpuzzVZj0L5jcfNSwiBAmzRP/Pd1Tjr1Ys4750tM3G0HauvTBFnL9Pfe4/77H+fmf9xJqqKOKCxgXUS+YGhtN7RnHb5XwapoCcYYjFfJNX+5nZffeI+zzzyNLbccS0UmTa4jx7LmVp57/hX+9LdbmT17Gn+87jfsvfckvnb+d5j7weXMnDU7ts0out5P+pKsmOVZPSMAZelqhrhccWDN0N66jO988xL233sXNF5iDkrENRXhopCObES2w3LDX2/nxn8+EG/K2uL6eY/rnXjae0UWX85aizGGsFCgceE8fvPLHzKsoZqfXvEbfnfNrQwbtgGeMYTWUaxvsr7hnCMMO5PqgH6835TNOluekFQ+tutyKLmhUCin0TbEV51Upj068ykiWxEXP6FbIUEprNOJ19smYZTxq5TSu2pi73fs+sm5+MACGqci0J1UpzuIAkUYdAB+1zj7Fv17J5ov73vv+VhRGQmDgPa2eaAVVZWj0NojsgW0rqC+Ls1mo2oZ1rArWjuMUoRJknHXden6PPH7xKnvvSpH9nFFygXV6+diCv+aH/uqzvrS73x9siw6Un4ljz02lYULAt56e3qXYWdFRgtrI5RJc/e9j1FRkWZx4zLAYqM0xvj86Irr+eP1t3PsMYez2aabUMgXmDtnHjf+/Va0VxlH7NjYoFRbO5yH/vMCTz3xOc4441Q22XQEi5c0c+vt9zFv7iw2GjWOYRsOp7k5m8i0CuVn+Pudk7ntoUc49dTjGD16FGjDkiUtTH7oP7z++kyqh28EUciHjS3ccdfTRM4jlUqtu8s6gPw/e+cdZ0dV/v/3OWdmbtu+2WwS0ghdIPReBBFBBCnSQapSRASUzg+QpogU6V8QAUFEOtK+dPgigopI7y2Qnk223zYz55zfH2fu3bubTQgYEqI8vMLu3jvlzJlTnvJ5Ps8SNkgGfCXGGubM7WGjTXfCCIXf0A5IrBEIoXA53LWhaEU6CLj3/ge4667bkDbL6NGj0VYjVUCmcRTP/uNdnvjLcQTKIq1yXkl8VCpNpq6NJPGDdKaBbb+1B0ZrVLoepVIIYxDCwca+veNBYGJEqoV0OoOvWvnx8Se4ZHiRoW1kOwZQXsD0GZ0cdOhxCOEgX6XIkso1ozyDDLJ8PKPIcSddhE+IUCWi2KK1wvPSpNPNSKmwApRMc+fdj/CHP9yD8DLUNzUk/NUL7klwESUDiKCev/z9TR5/5mg8JZFSu83Jehjhkcq0kGucwI+P/TlRFAGKXLYZIUQyie1S2/WXDPnjp0GWFqaADXy+qJtOhQtncUsqSCNsHmPyTJ3Rx2uvvYkUzjOaCjxGtrcyesxoGhtzHHvMIay00ioce/JZpOvrsNp54oV1zDyDnfK1FBODZUG9VlVyhOtb5XmgLJhehImxtoj0FBrtgs5CVckoPp8s6B0tqqd16eSuWAFhucjuu25PQ2MLjz7xPLNnd1RbsnhhNhU4iEvaXMQWUptDNzjxWHypVJ0Bqs9KlM1+pmTuf+++Hp6ypJVEx4Kfn305b70zjVQqNQCvxeV6hFFIZ3d3AocVzMc2JWp/WXjPOsMlwZELwFqkjMEUUfhY4QwVt9474wUxnFlRec9D4L9UIJU6OcLlowwkrFu01nTO7eDDj56lGJZZf709yNU1JRBNSxQKPvxoBjOmzwMEWhtnjAhR89RJLolIetTOP58XNW765TGXB+bMwtszALkbnOxfC/f9vE9lP3UU6c9x1S+ziMQPFwQZrr3udvK9N9DU1oqfaaqBxQ44v4xNNAwL6VQ9Z519AYVimbrmNvwgneicFt+vZ25PzMWX3UQUlclmM3jSI9fQhuf56DiqptALQPqNlIzPry+9gTAq4KmA+oYmsvWjOP0XlxPriNaW5VBSEVtLZA0yU4dWPtfceB/FQp441kjl09LcQn1Lu3tAJZk+cx4/PvbnSClpbmsn/rcic8uGeEKIJTizk6lYSYL106SCZgwlYpNwSQ9qjBw4zVokCukFBKkAoVMYAzpZfLXV+OkU0m9xTFzCQSI8qdDGYKyublq+n0EFWQBimyzmAkcXrBSB14rneZTjCIjB91GqDoVG4MJ8ItHfhQwI6nJonMczm4x7Yxw7lx94BCkfJQRClkkJidE+Qgi01ugKi5f1sCIgW9foYGyLsDjVqg1YCFJpsrm65KMogcY4XGUcx5gYAr+ZwKf6HpSqeGprdrAvxaBf3H7RT+vPT7+XheFX/WFONQlka3ErcUIo4jhEeZI3PpjBgT/5JelczhkT2hKW8qy26jjOOv1oNlh7FXbecUM6uo7m/EuuQUh/SKOT7BJbafNC+nwhWqkjXkjGkY0RJkZajRQKA2hhv2Bm6YUr3o5Bb+kO6qjUwyH7787yk1biny++xuzZHV/QnT5txNW+iPn7JHHwVzCAmEHzZumZJBU+qQF8+NKQGEuEsRpEwGtvfsBb701Heq6eE0KAlOjY9ZoSEqV8nPFvsbaGEcvKJC9xflXSeXcdBNJ9FSfnKQcDFRZPOBILz1NYMWD0uHtYBooVujXDWoO0umqkClR1ThhhAA0iSiJBUOurlEn0dVR7M4EqoHyPQGbxRCPadmLw6M/DZpt8j1wuR+AnzjQcxGz+Z3TPLbFYWbP/WI/BJknN2BP/jiNj8UnlSQYyPmrBl4sissbYc2IHzS9R8/tncWstHWfL0hYpFdlcK5lcC1ZodJLHONQMrrwrhEAjyTW2kWuAyFbMycgdkexjDQ2NeL5Xk15gKUflxG9rqxcWQmBsiaamRqCxqvsZbWluHlndeyyOQEhKx4ZnrCGTzpJOZZBqQM+16OowN3i0jBiJUopyHCOTtWRZQxjY2jW7punDPYU3/MRYMiKQxMZghI8jk1qY1lIZGGBi4Xink4+rWOzEMjbWVC8TDqLLTa6BTSzmAakszlJ6xAJiHVdD8QKBtQKEdJ1rrdsErHQKl44Htzr5ozrQSAwnHVQPGA437tqlP59nXbh2al3xhVTu7f4eYEX5sgTFF7x42upI+BJOvAU2acn0a3XMWDChpj5oJeNn0VpjBAR19Xw0pYcfHX0WN19/IZNXHsk+u2/FLbf9mWmzOqhVVKR1C63neUTxQLJ5pd8rm65jzrIJnbp0xkfyHVJW7OEFt9m6e1VGZhXmIB1+11gzaFxKIRN/rsVog5AV765L9vN8D2MMUkriOKbSIVUWFWuruH1rqR4rhHsiay0mgYU68m6ofQJrEsrHmuXIGOOePzmm4vSI4xgpZRVmWt2AKspepd90ibZGDxH3QxyCMQjlrjFok/t3pZZjf/gDan4f/riBtbGivHrDHBuzNER9GbyEtvo/PN9346hiyYmByKOwmtmzZwDQNnKkgyFbp1IoYYijEt1dXVhjGTFiBFJKlJKEcUg+30d/sR8pBXUNjc4JJ1JUJ5uogYFVoiYionPudOJY0DxiDMJz9RIECkxEV9d0wrBIc+sofK8eqdy7FULR05MnDPOUwwJ1dTkaG1uJI6dJBIFkxszptLc14AuFjiOi/FyKhV6ssjQ0tZJKCYrFovMmZxXaOCMME4O1xGFIsVSgWCwghSJXV08qk8ZTzkniHIYRhXye3p4eRo5oI0ilKJVL9PT0YK2lrqGRTK4OrQ3IgXVsaYohICVTFE034FbXiumkhKqx/937MokDtJL5N9g0Ge73hT2nM9iSEn/uzgua+tZdp6Kw/yeITZjcrASn/SjsEBdK9ViAml437pRho9NCCJSnhofVCoa8M7ePVUmHbKIvioF3O/QelWsKKZBJlpXRZr72WEiYVg1KSYSEL4369pmk1jhcsDMMhkC2lrQX0QhZ3fKSTz7lDEtFTVq872XgakoNtwAIICnKWEG9DhjJX0Ar/lNlwJPnRCf7asV/4ZbVEU0Bc7tDFn+U5PPLoqp4lU+cb0smNW0Wn2gpqgqwxRLZCJ8YpEESIzD4MkN/dx9X/89tXPabk6jLWXb89qZcdcNdqISxQ1qDQJPxPXzPLeWlMKQcRqTS2Wq9E09B4HsUCiWMBU/6pNMpYh2jEMzr7CaXzaGlYsCjN7hHaqEfEoMnwQuCaqJ3X6EXqVKkUxkwhsb6LGFUQlooFHRScMrV6tFa09iQRkcRfpChp7eHVMpRsSIE+XwvuVwOpdzYmdfZi++lECiCwEdrZyBoYdAWhPBcuxJFAVw01ZMSLQzWGAI/RV9fPsHxeghrUELjBz6+8sj356mrzyEFKM+jv7/gKMFRSGHI1aUZ1zYBX2l8FdPSlCGX9vB8jzCMiOIFjaPPIxVFNcYOMQEHcO4VH2IFEjvEKz10A02K74n5NugvgphgcJjWJuu9rcZIlpYfeMASckanRsch1hiESgxR3MxXUlAOC6y9xmpcddl5WCE47Yyz6eouQFIDIY7KrLz8WH52xbmodJpTTz2TuXNmYmPNnrvvxnrrrU1zazP5Yj//+OfLPPjgE/TlTaJM1TIyWYyxGAu9vZ1cdeWvGN0+idN+fiGfzJpV9eZ3dc/jsst+RXt7M1ddfSv/fOEtgsBSyHcwZmwbx/zkhyw3po1Mup6p0zq48677ePudD0n5WWZM+5g//ekGWpoknvBIBzF333MNxbDI7K4+Djv8dFZecTQPP3grcztK/PTkM/H8NFaXE9a/EhuuM5nv7rwjY8a0E4YhUz6ezg0330pHZy+eSiOFpBznOeig3dhxh+158rFHufaaaznmmJ+w4YYbEEeW1994l5v+eCdzewrOyFqq4t62oEjRFNlgjTrGTpzAPQ+8QSWPR9uKt7sa34MEDierhmTlx4Aff/A9Fnb/WudDUqBggaeEABgTD3OfZVMGHJeVx15KK8NQ5/YiruSVvGVgWOILR4qTOMWtTaKO/9nisUQhW0PlswygmrDmUqFZGfDSDgolfyWfUWrfnUHbPCSwta3XgvOPXoF3Zlr2P/1DEBUlNznPDpw38A4WNhYSQ3LQsUPeXXX8Dw+fcFJZ+hYkTpl1MLsQVJRADET1u8UhwlLxgznaZ2sxxEBcJSWwSLARqZTHE088RUfnYbQ1pFh77bUpl/5IfS5NOV/km1uvxU+P/QETx40jk/HQxEyfOocbrrubO+57HC1TzJk9i0suOob999uZAw88gtXX3IBDDjmI1hEZLJruuT3ce8cj/PZ3dzAvbxEqCYnrAcSyAKzRIIrouI9zzz2DHbf9OnWBAs/D5Au8NudDLrn4Jh57+F+k0vWMnziCP/zhXIQJ+OY3DmX6zF6kZxF4lPI9nHz2QXxv5x145a0+1tvk69xy8znss8vuXHvddYwfvxxbf31zfF8Ra8ErL3/IkUf+mD333pFDf7AfLS0jiWLN2++/zzHHns+MGUXHXkRIWC6z2hqj+H+nH8fKK6xMfUqglGb6rC5u/dP/8rvrb0X5TXR2Tud3N/6CrbfanCsuvZ6WpiZ2/d72NDUqjIa5czWn/fwqnnn2ZXp6e7j2mnPYYpPlkWGZMM5z082/JDYeM2f2sf9+RzJzVjdCBYtpRbGARghNLTbdAlusAbtutxGnXvQaRQDpYDpUQs2VN2bt4L+Tn7aK+a987+ahCjLosMjCUxJr52ytVONlNe0f/DzaDnwvvTjJdVoae0DF5HAM9CtOGktnZy+pdCphUDMuZ8L6lH2fD95/lxWXr2e5saPYYYdv8PvfP4iSAuH5xFGR3Xbahq2+vg5/ffk9ZnR3842tNuO8049hRFszGvCUxLOG7b+xEXvt9h32OvAYinmFULU0sS5yp/CR1rLBuisxYewYfBU5cJhwRikAYaEAACAASURBVF0cR6y//ljGjV2RO25/FEGKGdPe4+57f88G661IEEiUTOpdacve39uaa667k0suvYFCocx6a69NNtWPjkIQsOaaaxJazcyOTkqlGCk0G683kY55DjYjfY0UglzO8uvzT2HLTTdHCIXne0hPEYaT2X2vr3Pt727jyiv/RDY7CoxlwrhW1l13DH3dE9nq61ez/nqbIGUJTwm22HwtNttiUw494hQ6e/tQnsQau0SHggaMFCjhUBGTx8JZP2llq43Hc90dXdxTHSG1Ygb9rM6CBUx4H8gxsHNVTQ6VBKSFCxD5PlgDKglgCgfioJK25HvuHCXdzIyA1lw3+j9fr10mpbbo9nzfJeicLyVqZDHKUmXZSmJtX/w5i0UqBsmC7j/Ys/eVLEwq8CBLm+phg83gpB9N4mtjekipuRQ682w0AWJvftexScisHBQHtLbEMQnV5eDejyLrwvuJ2JpzrYUwhMg68IlFJz6kzydxzY09rzsZDYs/lbBiiy/QdKo8XPJl17xOxrZNZETrCFIyhY162XuPTTjlpMPJZUfw4QezmD51Ntlcig3WncRZpx8BtsQf7nqawFN4SqKjiNNPO5qJK6xBd1fERx/MoK5O0dwU8MNDd6altZXjT7/K1fVJIF21IogJwzk88tgdtLa2okzER+99SKFQoH3UKNaaNInfXnIuv2j/LTfe8gjP//UF5szqY2RLM0cfdQhHHXMmjU2N+L6kPmP4+qYbgIGLL/0NI0aPQipLHHbx/f12xZcpOjt6scYwalQzG06eyJ03X0376DEYAdOnTCPXmGH11cbzy3NPZa+9jieV9lGqxBZbrsLFF59NkPKYNaOLF96dxsjWFGuvNYkTT/w+uWyKX/7qtyghiUolrOlhjz22ZszosfT19fPJlE5aR7TQ2ORx9lmH8aOjL+LVV1/jhX/+FVvuZKN1ViSba+Cxx/5BMbT09pXIF0t4fkC8mJQEIyK0cMxOypkdbDQefnH8SDZeHZ57cyqCQnLwZ7u2B6SSf34C9zcGsEVIQRDEeAtyXCfj0VMQBE6xApLEZqjkNvi+U6IgGcbCEbArZTAaWuo/QNh+pE0tYV+ai/5VUup1HHP5b85AKOMK2lYSzxHgpXno4cf5/kGn8MTjz3DIQXuz07e35rY/PIEQAdJavJRg229uCEZw190P09kT0jSynVSuiceeeJ4rr/kjHXNnsc/uO7D/vruwykrjOemEYznjjOuS6F9tu5whYY3FExKMTYrsVr9NHAMGayOUcjCtclhm9a+tzty587jzznu56/Y/s/Kkifzs2EOZvNZKHPXD/bjrrgeRns+3tv8uG64zjst+czbFkmHnXQ6is7eIEQXGjptEudDt8N/aoDwPg8WXJX59/ul8Y+tNKBUD7rvvAS7+zUU0Nzdz5plnss56Yzj6yH2Z21HknnuecwaL52K4W26xGaWyz5/vf5LXX32TlVcczR577Mgaq0/k+/t/l4sv+x3Kc3mgSzJHTAgwYTcbrQbn7DCOnbaIaJCzkKqfb2/QyPK/Wp50tgGlHOTHDwKCwMf3PTzlOYNBSmTyU0mJEgpXLUNjTYywZZRnHcRPekjlIRDEsUngpwopJZ4vicISvuchVeL4SfKUKvwHSavBy+B7cwnDIg/8pWeJ9NWSkP8k22pBxsaCzZRlR6xJIt4183Q4l/LSNUg+lyylcKP9tBDxlwde9GWXgfC04KSjNmfLdQrU2ddJWQlWsPH6o7n7+gkuB8cGWATW2ETPFdSq4xXyAIFFWMd/4XJ+jPMmSZEUvUzuOZ/3t8IyJhEiwfQnxxlkklrqoh+OHCGZSEm41VpLHBpsLIisxeufRUpNweUbLbnlsprjYRMlzzqoVb6/DwAlBfm+XtZYrY0Tjj2YhqzPDTfexfEnXUxYiihGfVxz+dn88JDd+OGh+/LAo/+gr7fXUXELwfIT1uDJx1/mJz85ndiCNSFnnvkD9t3rm3znu5vz25sf5qPpszGxrkZrBAKlJMV8P5dech7jxyxHV4/g0CNO4sV/vMic2bMZP248v7n4VLbZZh1O+tkB/N+z/+KDjyOuu+aPnHnacWy+yTrUZ32XgxL2s9H6K9Pe1sLH0zp57MnnUJkAD4EnJRafm/74ABecfy19PV3ccsulbLnFWrSPHcn7783kgIOPprN7LvsfsCNnnvETVllxOVpbm9Bak02FnHP2z0in4H8fepLDfnQmBZ1FiTInH7sPxx9/KPvstzN33/MYb7/5Fr70EMYydrnxPPDAc5x88nnkC2XGj2/h1j9ezoTxo9ly83V55ZWXueBX1zFxVAuPPHAtsS5z3i+u5uU33kEKxYgRI0GoxbZyaAGaAKxkxYlpHt1nTdZdtZ86fyo+knVXzfLPP29KoJqRwkerCCEEUoAULkHXgT8s0lZgKSS0swMREmsd3M5aC9IZDrpSSCqBfQV+gJAywWKbJB/IFaLVuMrnxlqsjfF9gedJrNUY6xRqi1P8pQF0mUhoyHQiCfFNjkgtWXWkCiy2Ft/3eef9jxPYn2t3JSoqRcCUj+fi5+p44OGn2W2n7Zm86ljWXG0cL7/0IUFKsM5aKzB6dDuffDKL/3v6Weqz9Uz5eBY773Mgb7z8Oo0N48Fofnb8eUz7cArnnnMq3/j6JhzTfQEtI1oYvA8msA9rq+4yZZ0ZMgBlESip8ITEmBhjoKW5mbvvuZ9zzroY30+RTqV56v9e4YH7d+H5Z+9n9bXWY5ddt+OiK26mZFK8N2UaUjlleubMDoRXj/CyYASBp7CxRln3zoSSrL/eqmy+8eoUimV++rMLuPv+BxjZ3krv7BK77HkYl158DHvs+k1+fMS+PPzQ83T3adAaYSCMJNf89lbOOfcqmhvbiMtzyeYk3911JyZPXgVtdDVfdElVqHd9DLmUYeP1xrDmSs1kVRdSe6Ah1ZijsdiAMYpYxwgEUblEVC5Ru1/FsSaONVrH7qexaC3IFyPnZDMRpajonG0GtBYYDf39ZYyBOJKUy5r+/tBB9fqgFIE2EJsB51zFeYeFvIK0gVOOXIWUygClJdZnX8lXMpwMt+ctgwbJ0pKhi95wi+D8m8RXMlgsYIWkQt/5/676GyOCmNOOnMgGawrSqTx/frKTX/52qmOpqjhQk502qZkJwv2uFHgSlIB0CjJpyKTADwRSuEhBEDhlRyYhbykEQgrnjVMSKQVSglIS5Sn3u1QEQYDvSefJEo4hQyZJqxXMpxACgYcnA6Tn02xDVm3LIpLCmksi+Xd+4JpFCU1cLjB+zCgAunt68FIe39tlB5py9egyTP3kXfbe89tYDFGcp7tvGoVSJ+3LtTB5rdWY8smMJFHb0t8vOOywE6lvbAFTxNLGKadexiYbb8BKK9Wx7z57csyJpyfDvgIsA4HBT0V8Y+v18ZXkl7+6nOdffpdsyxjaG0dhlOKAw37Gc0//gQkTx3H4kd/nx8eczZ9uu48fH3EAbSNb2Gmnb3HvvU+gRJHddt4OhOD551+iWNLU5WxiP6aYOquHM867gvqGFWjKjeaSa25i622vQOFz7oXn0hdlyDQsx9NPv8DRR/Xh+wJBRH++n622XIfWEY2USmXmzOhg9512pmzLCBOj+/uIevtIZRrYbIuNefGFFxFWoGSGKVN6OfOsa5D+aFK5iE+mz+aFf/yL0W3fYsxyIzDSUp8bT/uoJnwvwCLJ5Vpob5+AEAn+3+gheRz/jigEHlZDoVRg6qwiK45pIdc4EqvmEIUer74ynbLowQiwtoyOYoxx1K7a2KpNYS1obYhjSxzHRLFGa5vk/hhibZIohkexWERrgzHOuDfaUCzFRFElkglRCPmCU54sLjppaiKWxg4cK8WAB83g1oEghvN+vgmxqKcsbZV6cxCsc9CsWHxScTcJ3PphhOWEU37NO+93gBAJNj9R/4UijAx+fSMvvPw2b739PhtsOIntvrUhr7/yBl1zZ7Pv3ofiBwEPP/wAxUI/GV/x6r9eJV+cw047bMv6a09mncmTGTduHA05jyDl0Sh9sBY1iC2vIqbijWAAHpfEaZP8KpdCC8KWsDamubmB8885k9VXXZNJK05kxx23Y+L48YxsbWBES45iocjy48eh44hSSZIKWh3TpTCUyn1kUymEyKKUwvdTOFoWjRSSUjlk/Q3XJp2Gd96bxkMPP0HziOUwArTRNLeM5sYb72bX72zNyNY6VlhhDP94aS4V/oqenjLX33g74yasihSCsKSZ09EJcZlcKgC7cBDtFyUxln7RwiW/n8GZV83ggJ3h4J3Hs9KkRh55oZ8jz31lKbSqVoaHHjtuJs3swhgwHV+Bzj9VKqvLoo6yT4OPf375b3pXXxkk/5YMp0RUsNVfyYKk4sezCIjb+MuUWXznuClsuTocefCaTClkeXXG3/GEIrbDwZ4WNPHtQn4f7jrR52r/p8krt68IPA9Vfv8vXlxeiXBJ6zYGE7LChNGMaKpHiBQv/utV8qU8a01eHWliYmM47bQTieIY5SmEEhhTxtqYWCjGT1iecjlKIi+WF198g3xBk643WKWJ44jAb2XKlCksv3wja621OsViGVkt+mcSL3rE2mtPIhMI4tDw/PP/IlOXw6BBWmJjEF6GF154gRVWGsNKqyxHb28ngWrgwYce44ADdmPH72zJ3Xc9SC5j2GzTDSmVYi676nramtvImx60MVgUb771AbH2MUISmYh53Y6mcV5Hnmf/9gKZxlZirZHKUaYGno8UHtoINthgHXzPYnzJwQftia8yKATYmEhrtIkxKiDX2EJkfAQCTwW89PKrzJnXRX1jA0a6Kt3FfIhHkEQrNL7UCJwH3ZGSaTDWMflhE9D34hGJRdgINEyfmeGyO95llaapHHvoaLbeajWmz6vj0DOeJ7/Y7ri4pDbfq6IMVCCyigr1bcGsiOE1EMm8ErWJ9hVF/YvZwmvZvWJjKMeGUizceFJe8hpd5DTwBOU4RgUN3P/Qk6y33grstvN2/ObCq2hvy7HhRmszr6eHO+55EGE9pCmw1uQVOO+MKxg/thklfIqliP5ikTlzZ1LXMBHwXKTeyiFLoB3yr0IvDCDRNsaYCN8DYQyKCKVAhwVOO+EwDv7BgaQy9UShobs7T19vD6VyRCqoIxWk0ZFGoNCxxSZud5ukcrpoiIcxOoHhGbTRGCvI5tIIH+bN6SDf102moQmjkxONYd7sAv29vTQ1O4iTKz1mkFIwY/pMivkyuQYHp0VBHIUoY1DoJHq35EWiUKKOWOboI8+Vf4ab//wJ39+1hXTT14CPIGGlE0MU2oH6ObVG46KO1UqEkk85fvjrVcw3997EwE+oRtb/e2QR+jyZy4Phx8MZKMm1BPNBlb8Y0o//bFmGDJKBHI3Ku3dwHPfZUJE4b3astTtucTfHUp3FIrnjwmmLv5KKDJRxEniJVy+WAU++EfHM8a/RVO8jSTm2IzznAa/0a2WhWMjVgYSZaQAa5j5bGBLT0fQ5atfBqM3adWY41dFU7+OUAFOxQap1Br54EUJgjcAYjUdMuTiPI4/4Eem6Ovr6Dc888zf8VIA2BhkEfPDGm1x27X0I4WOMQkgfbUtoW8Tzc3z8cS+pVLryIHR0zKC5tdHVC1IpPC9DIe4mk/EARX9/NxhHolt9uwkbEVbjKdcXURhVa0nUsst6ysNqjVQCIaGhYQS/ufRa9t17JzZcfw3aRmTYcP3VaGhq5vW3p/Hh1A4aG8Zg44TCW1jCsIzn+a7mjnWeWoCoXEYpj0ibKjePsAJPKiwSoSQ6ClEmxezpXVx+6eVYk8EIQ8UPL4ShoEt8MqNMJteIRCKspaur051vDY6EAVJ+gJSiqkLIhC9YCOsickIgpEQYUV2bFt+qkWDRrSWM3UB8vxuOvGgmY34/k803X428SIMVeCJKiBKScc7Q+VFRqeSgzwZ+s9X/V75ZsEtggJZZ4Ay1CnxSKonRSc2n6sUdX38Fe1xhQNNWLuZCkp9NqruQtSAMyrMoLzEyAYszxLGClLVYmeGBR/7CDw/anZUmTWTTjVZl5ZVXoKm+mSeeeYWps7vxvABP9HPxBScycsRI/v7869x1x6M89dTfmdfTwZ67b8EFF5yWGGED9NyD22WTHAIDwiBEjBDaqb+ij+XHj6C1IYs0MdIqCvkCPzp8H3501CH09Ze4+uqbePmld3n22b9gbC/33XcNK6+8Cp4nEkhfMgqsrarajv47RFiJIKZaiNNasIJiqYiJY9pGtJHL5hwNrk3Y7axg9Kgx1OWyhOWIMCxjRUIVDBQKRRAOZqatS9y3LmFpqURGBkQgqwVeAeFRUj5X3tOJ4FnAzXcHGVYu+jloH6p9f5911v/7q0S1knmleOYXWyDqc0klD1Iqt6cuqFSBlK4uR2UjWbSnWPBq65jyTBIFJck5dZ9UKOOHF+Hg4hWmvcSOqTL0D1Pi4SsZXpYhgwTAJa8FvkcYRWhtEq5vN6kGB+4tNjagY7xMimgxU0tYa5HSGTxKVRJ5a3MTXBu+koWJINah6zqjAUWMZW6frsZQXOHImn5c5C6tLDwDC64QQ8pu2arJkTTHDlquRHJOUtrC+bUs8yle7tiBzBjP8xPWnYDFLTZpZ0WMMRijMcYisUjKxOFcDj34u2y3/aZg4an/+zuvvf4u6XSOf774IlttvArtI9t55bV3mDWrB99vJIwEQcpSjrpYY801mTptLgjHW2+MRXmaKCziZ5tcUncZGhsyTFp+HFiPZ555mvaR7cz4aDae8kAohFAoT/Hyy28RliSplGabbTbmltsfJpvKulkiBKlUmY03WQ9rff72/Os0NjWhtSXfW+K5v/6dLbfYlH333IHxE9tIZXLc/Kc/k841DWRGMzDjpFSO390IZ5BIkRAbiCH/1fap4JVXX4W9d6Ax28wHH8zihZfeJ9WYwQBxFGF1mVVWGUt/0UdJsDpODKtKHhIJ0YJOCuclxfAYqExtIalFYYnDyLGSLQknhoCUSDFjbsjt975V/VhbEhLowSrT/K0ZYAeqXLDihEkun3xvqz8rRk5tTzvfkRg85wCjrTPmhngjBzsc3XWUWnoAhlpjREqJJyEs9ZHN5apD0Zi4msPlCYGxKfp7Y5566p+sOHE0++79bUa0tWGs4k93PIqVacphmQ0mr0VzXRPGSM485zKmfDSLTKoV5eXYYsvNQUSAQogSQjj6DYsdKN4uXN2rMIrAhGy11Wa8cOVNNNQ10tvzCSee8TMygQUbgQ3o6Ohg0002IooLdHTmOf6Uc5g4bhWydXUEvmLC+PGuiJu05Pv7aGluTLgyHO248jyiOHZ7YFzE8weUbYEhk8rw0r/eJDpwN5Zbbgw77bQNTzzzV5QUYDSe8thvv51JZz0+/riXadN7EEri+17icHYPFpkYkii5q3q/dPdUUfMPABsTJjUkpEq2MRu7d1PBPg46e+jVlqwIIb70yrFSyu2f1tCf7xmmH91fgZ8hlco65xDKOTkWKsNEjqxBKkmxUMT3fZRydUGs0ZTzZWJryTY1YfUAQHR+cbl3cRhSCkOEVORy9VVDKgzLCCHwPA8hlq5D5csuy4RBMrDhuUThbMZDyZiWljF88MHHZLPp5KABb52Ji0wan0WIRqZM70rqDbAY2Djc+VJJpDIsN6YBa6FzbkQUDmDnB1viC4MYuTCu8wxZ/u3mLWMSVvrL1nq/BOZzwqkGtqyhRafmN0Dm62o7+E1VvB21fw97HriFJkl0l0ki/RcRBxeVRGOhUWhaGhTptFO6UynF2NGj+OGBR7HVFhuigixvvT+b8y+6AhH4BNby0CN/5cB9dqOtrY1rr/0VF/z6Sv7+9zeor6+nsTHDft/fh2/vsAM77HAAsrp4Wr693TZ0dhW5/sZbKZULjGir55yzTmfMqFF09WpuueUhpHRwsWphuCTZR1uPhx59hl12+gYnH38w06dN4+/Pv0ihUKChqYlLLj6JkWNGM68LLrviZurrm7HGkMk1cdXVN7PZxuux1x7bk8oqZs/t4tEnnyGdrkdHGlmtBZZwpAlXCRkpCVIBCIVJxpiyEoVAWgX4WBRWgFIBTz/9IlOmfsLEsaO57JKTOP/C3/H6m29SCst4Xpq99tyXXffYhRNOuYwp73yIUCkMCpNA0yojz1IJ87tkbawCCeUoQhtBKpBMmjSaF156jTFjx1Msh5RK5UFFVBe3WAtlGzHUQEc4AxsW7DcU1W9r58aCPJIDx7n45PwKpB3ahhpzSMjBfeCiI8k/4ZR8IYY4KJaYOEptiwShkAi+8+0tWGvynIS1quJ5dsn7YRTxxBMvUiwKfJXhD7fcxz57f5Ottt4EbQLe/XAOL774hjOalccHH35MX3+RtpEpTjzhcK6+5nqKhZDDDzuJbb+1btXdutEGqzNzTg+FgkGLBPiTrJ3awquvv8mE8Vtz2GF701vsAilYZ/KqfGe77YjiefjKwxhFU1097777IZtuOonm1gxnnHEY99/3AFtssQmH/fAHpLM5NCH1DYqVVhhPuSwohxajBUoKzjnvWK67+Ra23PQbXH31bZi2HMaESXHfmFzg8bfnXuXxx//JtttswYUXnshtd9zGXXffTWtLK/vvtx+bbbIe/QXN9b+/m+6eAgqb8NoarHDFh42tGPWiynlrSSBHS2EUDBVJJRIMtkoKmcyP+cbpgmfYgr//omTpG3cLEmMM5VKJ/ffZhW22WBsdOSixqMDchKBcLvPh1Dnced8jzJjeTeA3J07BhTmeRc165tacOC6z5Zab8M1tt+TGG+7gw/enYdGsu96q7PHdbxKR5egTzqa5oX4B3SXcfA8LHHzQTqy11mReePFDbvj9rdTV1RFHISedeCBKZbjggivwUvXOAfNfJhXkiUOh1ERZh8gyYZCAmz4GQWfXPA47+Accd8yh9Odh5KjVWGHFlYdsmRbfh/vvu55SKc03dziA3v6K12LxGCRg6O/r4Nln76BcNnx//+OZ8vFMlKzZRD/VIAGERsdlrLV4XsB/G+5wAERT+14+/R0tzMcgqv8fbrG3Q45bdFmYWTmADU6iFbISSq7UAl8ci5BAxZaUUGDKbLjuCjx8x+XEcexoJQNFS3Mj6UyGcsny1F9f45jjz0ILHyEVvoCPpnZz1q+v56xTj2TFFUZz2aU/p7urF5A0Njbhp3P05TVKeQk9pUxqE4Qccehe7LP7dvT2dlLfmKO+qZX+ouHs8y6iv9+gUhWl3MFGNAakoL6+hVPOuoAJEyew/npf48arz+Ldd9+jr6+PFVZaieb2HH15n3N+dQ2d3SF19QHGaIQIePXVj/jk41msuFI7whP86c4n6esuUFdX5zzVVrtUXakTP1ViDBiTrIJlhJ94bq2sEKBiMJgkguF5Pt09Mb84/2p+ff7JLD+xhcsvPo3+nn7iKKShsZF0NsucvphCvgxSYaRw9Loeru+lT6g1Aon0Ug6+IgyQAhvwxpvv0dlborlVc8oph7DXfrugRY6TTj6bWTO/WMaboYX0KlKJ+iVDa0AG7JX5ZtHgwz77mK5Gr2sdNwJgGEiEcMadizS574wxn+u+/65YXBRCExDbDMZ4HHzAHni+SeZ3jbkmJN29vfzjHx9SLHfjBT5Tps3hxVfeY9ONJ6OCJu5/6CGKxRIqnUIpxayufv7n+ts59qhD+NY3NmHrrTZGCo98f4GbbryBfffdm6bGJu6541b2PuAw3nhtJlZm8NMphJBEOiTI5PjNFdez1uQ1GD9hOc4+/WhCo9Fhhof+92mWn9TAGmushRYeLS1NXHjRFay/0cqstfZqnHDS0Rz30yMIggwv/et17r3/bXbe9VusufZk7rvvXjbf/Lu8Nu8Tpk7pYPkVJ7LHrt9mtz13Yvr0Xi665Ca0bSWydRgZ43ueM0pFlnN/+T+EoWLbbTdjv7325Pv77YUvFdoYOrt6ufyqu7ntzsdJZ9PEhR4MKSwpDF7V8HBGs0Djg8yADKrjYUkHGSwMghAJQJiB6ue1pUgX7WpLVgYiJHbplqBbiAjhHGzrTl6Vb225NlWdSDDg5LMGKxU77fQtTjnjIl5+6UMEPki5CEaJK4YLglIpz2GH7c2ak1eimI8479yrsEYwdmwb39l+IyLVyv4/OI7mhobqOUNFCkkh38+aa45lx+03QthGrvvdLWAFI1qaOODA7dFxjsuv+B8i7WoV/Xfl7OAQAxWYYBL9rOhptV2xzBgklUHp+4DtR+gOfC+N1Xlc7dHBFpeJiwRSY6QhjgpIkaoaI58W9B9qEgwe3sJ5cGyElEVSqgxYhHZVWd2QrQVAMPTs6qcCi6dCVl5tAlKleeutqUTxss03/dnlsxpgC7KtocrslOQODG98LtysWBxSKQMihGX+BNTPLwKLiDWeqANZR7ZBUN9oE3pPS6g1xdDw6uvvcePvb+exp/8Ofg6NdZhYa5F+ivseepZCvp/DDt2XVVedxNixo4jimN685q/PvMill/2WYimuYmFB8OBDj9HbW+B7u3+X9jFjCCPJG293cPnVN/HUk8+SztYTxRqEjxV1FEKfGJ8ojrGkkX4D+xx0DKcd/yN23Wlbxo2bRBAE9BdKvPRKB7+46Gr+9rc3yWRzGGvwgoCopBE24Kqrb+CiC4+nmDfccccDZDONaO2qVgvpYeKAOAyIjUwMQYM1lkK+hDWOuUkgEUphrCACjFBY4QOGMCriBxme+esbHHz4GRx/3OGssdpq5BobkBL6evt45fW3OeuX1/LutF48X1EKNaEWjgLZWoy2jh1KZojjFLH2wPooEWCtJMg0cuFF13HOz4+msSnFOq0r8dJrH1MOC3xa2c3FM3iE06gHjfOBlYjkPUs5AOkQCZORsQPGw6KvTosArRLUHJMYkLV7vq29hhg4bqmskNYp/sbntTemU58NiE2E8CqR+wFnlzGSfLFEb74fI5x3X6XT3HLHo6Qb2imXOnj4ib/gpRwtof5q6wAAIABJREFUsrGabK6ZG/5wH8899zI/PuwAxizXTld3geuvv4XnnvsLH33cx1577UchD/lCjOfX8be/v02QrkMJHxWkCEUDU6bm2feAn/Gjow5npZVXYl5nJ48+8hy33non5/3yJ5TiLHN7+oiIyeSaOfCQn7LLrjux7bbb4Hser73+JlddeR1BUIeRTUxcfhzvvPMJqZRHKt3K3gcew0+PO5qJK0yiEIY8+49/0tAwAkuOf73SQU9/hJApZzhaj64eOPHUi1jr1gfZffcdWW65keg44p133uOmP9zO9Jll0ukcURziqYCp0/t46fXpvPveJ/i+Xx17BsnUGd3865WPeOfDWUhVA+1aosPAOTsq9/33774ITssvTL680KEojFDCgDK88sq73HHvo/ipLFpHBL7H+uusyze2WpeJyzVy8s8OZ98DjkMgsVZhxGCjZLAmJlzUOnEiGC145513WXmVSXz88XSE9UAYpLUoC6UoQvgpDCKhQ58/58/zfALfQ1jwhEToMsVSTGOTYPbs2XTNLaCUR1jWCE8mJ/93aXmLKmL8GhtaYRxv+ZdV3IBSaCR9fTP42VHf4/ijD6UU5WgaNZmxk74GwlafQWBRuoO3X7mbcphm0232oVjKYKxOPGyf3yBxhek0QoSUSlN5+6UnseUUu+1zOu99MgfhxUnVCjHIoB94DoFMNn9BSK4u5MEHbkXrFN/b43DmzOtLoAuyZqlahM19GRErBKHwKM56n8cvO5HdTzifD2d0VL+f349bK5UeXLhB4s5fsv0lhec2KzQv33Y125/wW9INKWTkmJX0YmiPG0+GhkxEKhNQMhIba6RxHufQRoSxpntuP7lMM346RzEMSaU9MA5KZQCrDXE5RFlLNpsmCBTlsARC0tnVR66uAV/lmDt7Bpdc/GP23mt7bv3TX/jxMacyZsw4UukMFpjb1YUfZEj5HloDwoOwRFtTFjxBZ28RKyRCaLQ2+J5H97wOMumA+roG/CCgL1+iv2jw0mmUctuIFB6ecIBsG3bznW9O5tLf/Jz3P5rNN7c/gHRuNNa6ijNITUtGEIiYfCzoLhqEyAEhqaBExguRIkO+7KHxCeMSUpdprg9QymPWvCIqCAiQeMJSjiNKcUjKt2SCAE8qioUipf4idU3tFK1AYMilDaiISPvEkUQKRTEypDxFU9oibYF+EdBf8FFaI5UmLhXIBJZsnU+MpL+oQaSwn1rjaFEkwSsLC32dnPf9Hbnzyae4/2+vAyqpB1KpEzJ0XFVyQRLDqOJ8rsK5FjR2F6zQ2IWeN2R+J9A+IWsMEptAkawzBCwSbMyfLjuPG265lym9FY682ivVsmwt3pxBAQgJ1mhmT52KCWNQCusrDEkV5QT/JqxEKsHoMe0u0ojAEGNM6KhrraJt5MgqRM2xc5lqjkZv11zy/XmEpxg5qg3PExQKRTo7+8B6TJgwCRsXmTP1XfKlMhNWWA1jBdpolOdhraajex5huUwq8GjINZLLNtMx5z16e8uMGDmWbCbn6JtNDMR0dc0DDOl0QEvLSKxJMW9eJ/35XoLAZ8SIVjwlUR50d3XS19UNQFPrSPxMM+iQaVPeRyqf8ctPrKR1AtIRSsQR3T0dRHEJrTW5bD2NDS1IApcHh8ZTllK+n08+mcao0e3k6ptAOnITQxmpQzpnzSTT2Eo614gUrvigI7f5Ytd7kRjLcecMrjn3ZH5w3AlM6y/M59FdWBbD/G6HRW3zv2/8JK4FrjznZF741ys8+mYHgRJJ/N4i7JfHOBFC0Nfbx5UXnsjuu2zEnfc9yw9//HOyDc3EcUTK8+ic08ElF/6Ug/fZju5ezcFHnMc7772PkGmM9RLXSYV6fohBUvlpFRDhp0I8T9HbY/FVlnLYyZ67bcMvTvsBJdlC48RNmDBmNJ6tGCRDvPoyoLdrOldc9hN23vE7PHj/S+x/2KmMWW4UmDK+skSxpRRGSD+FkDJhiRM1Y2K4sbA0jdXFIwOFnC2eNUhjWCELRxz4HXY59lwsHrZm1ixDERKTbJauVoQj1hHJPzvMO0s2WZGAaawCGyEE6Ag8z8NYVwdAKYUQEcbEKJWpYcawtVdyA9HReyGRqDhAWZ8Q4zj9BXhKYYnBGKxWCKOcpS8UXuARhaWE9dDVUpYY6lKWeXP7UMLHGInneVgh0cYibIjEuOJguCKAUgaAwgpTxccvO1KpQGKqhl9lwaiF3X22KTj/ZB7OaPmiksnMMEreFyEV2EhPyceWk/FpZfKkCitcheS65jqElWijSQU+Vhuk8BL2EhBCEaRdwn3ZQrkMkAEL9Y2p5G7OIK54frVIkW0ejcw0UjaWOArJZBsd95E2rlK0sKggRU8hdoaP8F1yswEhfWJjqWt2dVEKGigarEyRzlXityYpbum2SUk/heJUjjjsfLB13HnnPUjVRKUGgaupoOjJx9WNQknPKd1CEEeKfJhF4DiQjAgd45WXprdogRg/lUqKX1pCY7FegO+7OgdFjSM28utINdURCou1GiElhVBgEwXYbX0xMqGg7SsYBB6hsEgZIzEIKfEz9WgL+ULC3SUExooEg/7FjqGkJM98q4WomXnV+MdC9aTPMocWfOygWE1yU2Fq/3ZHWZJ1XlTqkSxxn3i1SdY4x1j7uIlDPKWCQfqcazTCushlnLxbKwPa2perHmSxjuUscVC5TwX1TW3UN7Ul1zbEGvyUT/voRkBQiopIY2gfsyIWR06AAKmUqyMjPVqa26tvVQJhHNHUMp6mFgFJzgPSUVeDT9vIsdWniWKAmMbmRhqbGytPj0UQRpZsXSu5utbkyQUGjfAUyyfQaSGFiyIIgU6ovxGChua26hiTCLQFQ4wVbj7HRuBn6pm0yteomLM2ScxQwgflMWK5FaoK4YJzNZacDI05LvKY/5Rjhzv3v0kqhVGRAjxJriVHKpNFhxqMobWtnddff4NYfwspPPoLIVYKhIixuhcbB/jpOuIE4umCwxHYPMJ6WJtBSIsvBMXeAr6fQoo6RJUZLdFDBukMLtdXCuOKJOvE+S0CpBEI40hgKmuokoo41uSjItZ6+Kk0XiqDDkvosB8QKC/tnO3a7VnaGDxPunLMSVFZ1w5XkDSOY0d/LT3AIKVfU8sK0uk02uhhCUGWBVmGDJLKEiSxCfWjtQZrTGJwDD3ep8Ih47YwhbFlpDJY40EckA40VoUUin3U5TKUIouiESsKNSE/ibICiBFSY7DEseP6V2GMsj5axBhRQlBExAZBjDExvpBYEzsGFC9Nf39MOu08U0JGeCrClzEpaUmrkFRQxPMjrLEu7GgUUoRIW0RZhRBlglSWKIzRWiL9NCTVxJclcQbIcEbEoviMPn+06IvbuJbkhJfzKY0Dil2FdDf5VFBVdM2QZ/+0CNLQb3WsMbEmCkPHFGVstXxGxdMrsM4wZ4iHXFSifcP1U6JeJIcqpFvwo27QvRx1xCGsvMoqzOsu88gTf0F5QVXRgso7ldV7yWSuOmCPhxEDzzOQY1Jxb1SMX+mOT1h8asdhxWGvE3iRkqKqVNV6PK0dYAEafG0LQlSTx53nWCTtEjXP8MXJYIP/045ccjKfv7i6+Q52StS2fWlvrQPjwg76dD5MeCW6ZAdaLuaDzA1/h/mU1kH+toGBVMmNHUjwFsPUlBhYD6rjtdrPtU9Ue2zl88EtqV1DbPXogc+q9qRJvL81hlalj+YjGhk0mxnyV80nybXm672lPSA+oyxjzV26IqUb49ZDl4TLNzUWT2li289G662FFGlefWcKn0zrQAZ1xIUudt9tS7LZVh5/+nVmdnQkQ8gQxT3sseum5LLNPP/8FD6Z2kkhP4/ddvk6rSNyvP1OF8//4x0gPagZzuntI5HEUZEo6mOVlcaz5uQVqMtJCr0pnn78/1BW4tWMUB3H6KjM3vtuDjRw+52PUSwLyv2dHLrfriileOB/H8WYMptuui7to1ro6szz2utTeOfdGeTq6jE2BAzCRJRLfYwdO4INNlifXCqFQPDGG2/y/gcfsMOOOxJGKW674z6ydfVDOnLZGXXLkEECA8tg4lU0SfLqoogxjBpZx/3338QH73/CvnsfxBmnn8wWW25EJp2ip6efe+95hN/fdD/FUgwy8R3aCMscdv/eLuy3366MGTsSYSRT3pnOnX+8HWW1Y++xCs96eLrEqPY6vr3D5uywzRasOG40mXSOj6bN5OGn/o+rf3cvhaIFWea2237LhPY6fGVpH5HlttsuQQSNvPnGdA48+CcEfgp0H1/fdA0OPehAVlypnUymnpkzOnjyyef4n2v/TL6skHLZM0oqImr+DW+mLDsi5mv/srMQVKQyw4xNohQqwMqk8JtULhJiKlS2C77G5xUhIpTt5+mn7qKpTpFOpykU4Lrf38YHH31CNlvPoIToYe5uRO1fn62Nw0UIapXhTzOHLRXjZeBaQ40XI4ZTvL6SilR5++3gz4AqvGvZ6LsFKfuLRxZlnC8pWdr3X3IyGAD0lXxxYq3AaEvWE9SpmOacU/Lb2uvYdadd2XXHbZjy8Swuv/JmPD+H0SFGa0489ghydc188MF5fDJtBl7goWyKYh6OOPRwxo6dwE+Ou4D33+9i6tSZ7Lbbtmy2+Zr87rrHef75V7B2KMOnq8MjdEwuZTjkqAPZf79dyWYtgaexGvqO359SsXugBlkinjWc8/+OJoyauPvux/C8gM6ebk49/iiCwIDu4eCDD2K5cS14XoS2gnzh/7d33nF2VeXCftZae58yc6Zl0hNSIQRCCEhABCkBAghKUW4+uKIoUixIk+9Drl4FFC9iuRcLCoIKXNELcpUqvddACCEBhIQSQnom0+eUvdda3x9rnzNnJpNJgJQ5k/38fjszmXN2X+V919t8vvWtn3L/A3NJV3l4niGbbefE42fz/e+eTSZdFdXYEuTzOd5YvJhdd9+NNWsF1113E1XVvRWSyqHCFJJuiq4Gm7O4aATOTG3yeLKDsaMT3HzTf7HXjBk0Na2jqyvP6BHVnHPOZznok9M4+f9chJfOuGMHeX7y84s5cvYxaA0dHa1ILLvuMo7Lf3ghkEOFKZRNoEySlvUr+cstv2L6nhNpXrOadevWkqktMHbCCL50xhzG7zKJc8//D6xRvL9sOV6hhtqJ4wnzmvffXU6OlaxY1kzKT9OVa+O8c7/IWaefgA66WP3+OtYG6xgzdjJnffl09tjjY5z9te+S154rLrZ1H/lWYbDk5LYl/1IoTVglwbSypuuiDQFP0dTSwopVq1jf3Ewi4aOjEbcYSN/fMT7oXQtAWB9jErzz1lKG1FfRmTfccecj/OlPd5CsqnbpQC1saZfnzbnezbmfvlWkD36uHR3bazU+ZkMGitVoR0OIDeMY4za6BTEWaSwSiacEsw7Zi0Xz70IbjZSglERYQ8v6Fv7+9zt4e8m75IMUaT9EC41SSdDgySyiaK+2AZ4IEWGICfIIApdCHIkQHtZUERQCBBqLs0qUNqGxpkA228w3v3E6X/rSiYQ6z6uvLOGtt5ZSV1fPfh/bj9Fjx24wMUkrMFmPMDB4XoJcUEASUMi34HmWC84/G2NTPHDfU2SzXczcd3dGjRrNj35wLo8/Poekl6CQb2H2ofvyo8suxFchK957n1deeZ1CIc+06buz+65TXWZPd6OUimJVIBWrkIShi/dQqphysf91Sys0UgqksTRU1eFNaOTSS3/PSwuWEIZZjpi1GxeeewrTd5vEJRefx/ev/BWJpOKM047m6CNmkTVw7bW38uD9c9HaZ5cJtZz/tROZOmV0VCAtwIgsRoVkteK3N9zDXXc+zMJX36S+ppETjtuXi771aQ4/5GPsNWMaL728jDPOupxDPr4L/339f9DSVeCc837MsjWtLiuLl+DYY/fmzC/PIchLrvrZH/nDLXdT6Ohi9kEf46qrvs3ee+/B2V89jZ/+5/Uk05lNPIOYbcWgULKEpaGxgat/8Td+/OM/U12TIZFI9MhU1x8fpiUW9wl1ks9/8TvOTcwavGQCP1Hl6hL09F/ZYmyrnhP30JgtQayMbGfiB79VsFGwdyggNAahNbnOPOvWr3NeIMLVK8pUVdFYO4SLzjuLTx17DOf8++94760WsBYtC1ip0aaAUiqSzwwJZUkp8CUUl4U8z7nyKxmAsC5BheopFltjkRYmTRzJyXOORFHD7//4KD+7+hq8RIqurjyTJw7nd7+8gKm77gLQ7UEgQIkA5QVYLMYqLC7phVQe0mvgzDO+zdy580kmqmlsEDzx+LU01PrMmnUgjz82j0K2g0v+36mIMMuL89ZwxhnnEwYum5j0C3z3O19mzslHRa7R3T4nUvRMz7StYl37whpXLFdYi7HuPTu36p6pHipWIbFYjDGEYejct/qY6otKotNzrXtBxiCVz+9+dxM3/PFP1DaOoBDmeeXq59ll/CROOP4QZh9+MJdf9TsK+QJzTjoBT9Vz+63388vf/AUpkyjP440lzbz26jweuvdPGBQWjRWGxqEjufjbl/L20neQSEaMqieTNMx//lHWr9yfqvEpZh1yIM88dyPV1Rk8XxKGecJQ4/sZkokQ6Yd0drTy1S9/kSrp8eq777Fo0avstdcUlPRpzq3nhQUvcPTRKQ6ffQBX/vQaqpSH0R+umOBAQWxSsaxARGXek40CvaXnUZXJFFNKbIPzgvQ9VMLHxy34FKt+b45lYceq4hMTs/1Gl9jSF7MlKbeKuqQlLlnQc3Nf57QzLkYkatBG4vke48eN45B9J/N/z/kc03ebwAXf+DznnX9FJJQbDIowSlhUiufCOqFceC7JkbAgQlfMNErC4Ba9JGBc/SOrQYfkuzo5+shjqKvJsOy9lVx73Q0k0lXg+yQ8nwWLFvHG4iVMnbIrCOHiLHEZ4IywICHQIVamMZHdRiiPO++5myeffYbGxpEYo1j46nxCHaKUx/BhI2hubefA/fZm7NixGKO45N+/h5dOQ0JhrCTQlrvuvZ8TT5rt3KyjOjOVqi9XrEJSRIgoE0GvN2CLmQdwHymlsNZl2cllNTfe+Fcah4wkEIASDBm5E1f/5rd89rMHUdeQIZ2qoyvbyqjRw8jl8/zxD7eSTtUThF1YEZKoyvDuipWEQkU+4a7ugNFZ2ltX8qUvfIrDZu3PuJ1GMqS+loznoWwAeGSqqygEWapsikIIqDRW5CmEBUKrkaGhbtgQJo8ZhjIdTN15BH/78y9QCIRIg2ewoouC1owa1QBEKTP7yzk4wOntM15pVPr1b0ikBLgSq9v+7JtpiYmJ2ZGJ+8f2J34HWwcrwSpJwSqsylBT3+hchgWsa23mL39/iGH1gnMv+CL77D2akSNHsHxpU9kBKDnPWGvwvSgteNHSTnfNJaNBCFefpPgTJNY69ycTZtlt10koaWlqaqZQ0MikTyEMkUJF8iUIpUrxsNhuuUBagdUaGU2nbnqTzJs3n2QiTRi6zF5BoJHCQ0mXuCmXy7Pb1KlRxjrLitVNyESNszYoD7SPNR6SJEQV+Sonxm5DKk4hcX76CoRC+h7VNRmQAhtV9VVIhLGMGDYUTEgxnLQYBC+FJJsr0NqWpaaxgVBblOeBLIAXEogs0qtGa4PnpVHKki10EIZ5tA1BhBjt48mQ6owCUcA9RoOgQKZac/PNv2TC+NHk8yHLli/nrcULWL96LR+fsRcTdx6N5ymsDTFo/EQSqXwKYTu+n0JQwJqAutoa0olaTJDnsSeeY8k7y0l6PlqkyFmDIecsCl49Q4aPIJetbOtIzOBhaw+FdoNMQj3PvTH9qUd8T0xMTEzMwKCP8dwCRgpCAozowvc1IgixgCdBJSUL/7kY4SlS1RqlnHXDFhUNYUpxncZYdt15F6oztWggFGVJITbpf2zQhFirCcIAlVDk8nmSvu8sOdLDQzBkyBCM1lgMUlpcHvON+BZYF7Tf3t6F8DxCY1AKAmNAKlfjSAqUkuTzBVwuSoNMJCiE2iWYMYZcNs/4nSZESlTly4AVoZCU+8v6XoIFC99CI5G+ZcrUnVnXlEd6GoEl6aVYu24NF339mxijKeg8K1euJVMbxZsIsCLE0IH0QmSowEg6WjuYfdC+JFJVNK3rpLMzi1SSbD7A9z32nr4r9zwwH99PU8gV0LQy67C9UdKQNy7Nbz7bxrmXfI3dd5/Am68t5dxzLuetd9fT2bUOjy7u+fuNCOUhZAKLchl5TIBUBikFQRCgpMCIkPeXvkVzezON9fUsfms9l3znJtINadeJjAUMQuUZMqKKXD6F0QJPiY0KajFbl2JQ+47C9kyg0F8b37QbyY7zjnYErO2Zrz8mJmZwIABp3QJzQvnOQ0QpwjCgq7UVT+Q4/rjDETJB+zqD1iGuzKOHn1QMH1qPMu8DkjXrVnD4mSeRzlQTRrOEEVFto7JzWmyP9OMCAUpRXVvPU8++wOzZM5k8eSf23msKCxe9QSqVISxkGTWsjt2n7oI23S7GQBS/0n10otABKT2XxVL6COEhhIw+d/XnvMhtLJ1O88DDj/JD/XUSCcuRhx7I/9x2PzWZWpSfR4ZNfP7k4/CkJSofW8H2kahIbOVM0ZbqdDVPPjmP1U2r0WYdf/vrNYwaqlBBOypsweZW8C/HH8znPnsA0qvh+effprkpQBsT+fVBbU2CSy+9EBO2EQbrCfMr2Wf6SH50+cXku3I89dQCjNGkUh4LX3mHqkSK7118DmOGSgpdq/FlM3vsOpzLvnshXlFBsIYwDBg1ejg6KJDL5nh5wUt4XoFUIs8Jxx3GlMkTwaTwEAirkVinURtLMqmoShva2pdjTBZlJHfc+yBWWU499VNccMGJNNQUyKQ6qc3kmDA+zeWXnc7Prvo+hVyWVCIZKyMxMTFlxBE1MTExlYmIasA11qfYY7fhjB+bZvzYFHtNH8Wckw7hlpuv4DPHzSZX8Lj3nqdYuWIFxmhWrVkONse5Xz+NfWeMZuLYBN/9t7P4yldOwkuARZc0BSFFKe6iu+ZPVFYiugqkj/VSPPjI06xa00Z1tcfVP/8uRx+xD7tOruPQT07gnr9fx9AhtWWKhcNGWa+EjFIHA4XAyaOFICwVxpVRUS8hPcIoANwAiZRHc2s7jz0xnyAb8OPLLuK0k2ax2/ga9t9rDDdc9z322nNyKTyh0vEqRSEpvmIpBKFWXPe72/neJWczaojivjtu4I03ltDa3sS4saOZPGkiflrw3jvtXPR/L2Xc+AmEdLtzSAK+/MUTOPqYw1j42kLqaqvZd8Z0PJngnXfXcOWV15CpSRHqLL/65Y1Mn3Ipw4dkuOv23/L08y9RV1fN9GlTkCKkUAiRKoXAUpOp5oH7n+bQgw9i0qSx/OGPP2Hu808zc58ZzDrgIGyQx+Z8dt15FKeefAz3P/gk776zFB1K6uuruPSy85m3aDGNQ8dy5RU/4epf38LMmTOZNmUsl37nLM48419YvGQJ9Q0NjBu3EzUNKR569GU8K8BUhrmuPN5HRh01+qBitfqYmJhtRTxKxMR8ZMpW7gei/Gdxma0INfvP3I1/3HMT+UK+lL7K8xS+hGyX4omnXuf66/+Mn1DoIMXNN93Bjy67iJ3G+lz3u8sRQqI1zJv/MuMmjKV++FhAddeVEuAKeQqMtVhjCbVFa0sonOdDEBraCnl+9p+/5bLvf5PRo9P818+/g7WKVDLN8mXLuO+BBzjyUyf2GKEMrgiuta7AYjFtsfQ8hPKQSjmFRcgosF4SGosVAmsthSBHbaaWy3/wc276/U+ZMMbw46vOIwgUvpchCAr84977OfyoI5AVmkCnnIpw2SpHG011JsONN9+LJ9J84ZRPM3ZkPfvssxtCCQqFHJ1d7Sx6YSnfv+xquvIGLQOQUYVnC20teW6/8x6OPfF4Zh1yKEoYghzMfelN/v37PyZXEAihqUonmT9/MZdfcQ3nn/sVxoxt5JijDyYIYNn7q/i3736fX/7iZyRSCYQSSOlx++0PsNNO4/nc547gyNmzOHr2LIKc4Pprb6TQleOc885ij92mcPbpn+eeO++hINPceccDHPuZ2ey/30xm7HsAc1/8J6FWaJPi3Asu55JvncUB+81g1IihjBkzHB1q2ju6eOzhedzw+9tI+AmMDkGo7f16YmJiYrYicW6nmJgPTo8qoxRLVgxE/x6Ls1y0tuVYuzZHoLMUTBtIH6SHMZaOjk7efPMt/nHvUzzzzKsIz7k9+X6a2257FKmrmTPnGBob62hta2HevAVcffVvuOqnP2GCHkJYEM4VzPdoacmxdl0nHR05nEuVoStXYNX6AtmwhYSyCAzSS/Dgw8/S0tLMKXM+x65TdieZquafr7/Ktb+9jqm7T2DPmVnaOvLIKMhdW8HqJo22OaTnEYQFjIWVqztIJH1yeRNZZywIi/I91q7L09ElyeUDp0xZQVtHnlO++E0uPP9sZs7ck+rqIaxc9h7X/fo31NdLjjrmSKyVUbbZAfZCwVmjbOnXHj97fG3CHvtZYfr3yx6IWGMI8nlSHhw1+wDq62ux1pLNZnn33fd44aVFVFXVg0pikBhjGTca7r/jt7Q0afbc5zPsNmNPPj5zOsIalq1Yw4MPPU5t3RCUSriAqCguICjkqKr2OODAvamvq6atNcfcFxfR1pblyKMOJl3l8cjDz9HZUSDUIVrnmDp1AnvstjNCSFa838Rzz80nmfA56KD9GTp0CCtWrebpZ+YipcL3BDNn7sXwUSPoyAe8u3Q1r732JhKBCQtIQqZN2YmJkyaSTqcpFAq8/c5S5r/yOn4yg8GLrI0Dca2jJwZLiCK3ZgmP/PLf+NzFP+btZaujT0VFFnd047pEItCEvHLrtRx10bWk6lLIwCCEqcj7iqkkXAsrCAvt67niC5/mr488zl3PvYJAIYXEojfIRV8JcU+CYtFXzW2/uIIb/vR33mlzIZzWmrIYkiiLjgtj3U5XGzMYKWZLCtev5LorLuGMCy5Bx6wkAAAXVklEQVRiWXsnPj1b2rZKj/5BKfof/Oryi3lh3gIefG0tSSVASoTtLxXINrvAHqUblJLkCl0E+SzWuhpyxTjNYhYr30tghUdCpZGexGAQViCsweiQfD6HMS7IPJn0SSR8gkJILq+prmlACoWlk7DQSi6bJ101BOVn0LaADXPoQgHP8/GrMwShRloXp6HDkCAoABBqg9GQSqZIJtJ0dXUhPIGfqMbYEF8YCnln2UmkUwQGlIB8ZxfaGBKpanw/6bJuCeOUoY42CmGBVLqaZCKD1Tnq6qtobl5PIRdEbmEgjSHs6uTCC/6V8y78Ev98K8e+nzyOMTuNi8w+Pd/p9qhDUqwTKbB41iCNYXIVfPW0Yznh/B9i8ZwLXUTFWUiKCClJpNMIpbjz/mcJghApJVII/IRPKjOcwLicC05Q7w5fMghkoopV67q45dZ7XV4G36N+6ChCXdRYve7X6aXoDOHuB+dSyGfxvSTpdDVC+fztrgcwRlNdVYtAgUogleLNJStY+NpbFLTBT1aRqq4ha+HOR58lCAJSyTSJRA3WWkI87n/iFQpBHk+5jub5bnL1kmm0Dlnw5grmLnwHrTVKKhLJJH66oacSEgd2xsTskJSvOg22UaD8fnpOswNT+IuJifmICEkiUU0iWe2yZpWtrgtEWRKLEGEFuiRsu8J7CI+qTCNaG5SSaK2xgJ8U+EmBMQZtCwghSKTq8ZMCaxXGuOKLUqVIZKoR1rpUvNGZLS61byqRcQslxrrUwIBQHqnqJMZohHCV5q2QpKpTGGMJQg1SoA0kq2qjOJVoEbbouY4kkaomrWrR7kZY39zMt//tPOa98DxPPPYchXwYGVQK7LbzBOacfDzaejz86JPU1dVvk9eztfCErTzrSDlaaxKpNMlU2eQU/aqkKpPR3cu1WEIKhCJPYAokqqqiSVyirXSrbUXlpXhI5WOFIZGsIpGsio7jHAPT6brolGU55IRCCEWqKoGPwAjhOgmQTKVJptLROQ0I0MaSSmVIpaqBkLJwqihVsUIm0niJVNmdd9e9cMeq4JcYExPzkSmO41bYQTselI2M9FZPYmJiBgcmWngVRcEpkopKK+7CLTJbKzBoigk8LM57BqTLulWKzXDxq8VxUQgiS4OPKRkOXEyrC2p367sWnHU5UnhstLMxZdaGaOANo8LUQjqh2h1foK2zTkjpCiJSLBlnbRQSU5aHy4JUiei8AmPc3xoba/jBDy7mrcVv8MRjT2K1S7p00uc+TePQRpYuW89/3/JXampqonuszHHRq8zL7knPhtZt1Ctp0dYihKvSGVqP0AYur7ONGmVp7i42usjkX5rgKbbE7nP2mvBL5xK2WwmyTq9WlpKS0XO9r8zfrxjgIrqTxpXXe9xQvLBRju3KETx6+K3uQOyI9xyzLSkbA8pSWZYvkggBpoK8mCx9p9HWqKiSctHMX5RQ7OAzDcXEbDEGuO1UbOg+6jJH9UzM29MJxKXJLc8mKADhqbLPDX1LT2wo0wkol8fKQ2z6PoLu+X+xYXSELT8QJRtLr+OUZeUqX2SJ1sQTqRSPPPoE06ZNZtr0XZgxY6obzC1oa3h54Vtc8R+/prm5E7xkyWIzoN/3RvAsFhk1hQqarzaKtZaeOemLAUMCI9N0hrUEQjnXLDRYESk0kSmQorJRJupv5L32+Wfb92fd/y9vjOXNXbufvdyu+ruGSlJGYMeVyXfU+47ZlhQnRJfVRYiek14xkWQlxIz0hxEC22PiL7eWxMTE9IWrz1FZqWGddNNf6vIN+3xv6WlTMlIP0b3sq+XKSNGDpn8+yPiz8WuyvT4XAmoyNfz1tvt4+qmXmH34LKbtvjvpZJL2jlYWLHyFBx56mM5sQCpZjTYbHqOS8KJomkG/imsMLF/ezCcO/DR+Iklj4/CSyaxkSNkuL7H40AeDOhhTRGAQkYXLDuJ+FbP9EdHqokAgBS74UvacQI2pfGVkQ8rj5+KaKzFbGeFW3CvLL8FRXGyVQrrieVHQs7BioNtOtir93Xe5UrLt6GNBWkiqMw00re/if267B2vvppDPY6yhKlOFkB6e70cxJwN/HAx12GvBrJuKDWrfPLrNX0JIpKzC8yTGaIwxyIH/7gYtzsNi8AyDvY2wkbeoy/yxna4pZsegmDZSRGKHilxYezqH9u0CVZkU3TBs2f9V9DMe1GO2BpEyIgxgXME7Kk+Q78p24ZXc2kVpzKi0+9hWbO/nUu7MpXyvFK+S9JV7a1KVvlMpseBV1VV0dHREzng95yTpVs4GM0U/QoMxhkIhRIcGpXxA0ld6tJitixUursYISyGojIKO/VFyHClmyhAWz1fur8LEw33MNiDyTrYWZaK2qIqBnoOn/eVyOTKZ6ijItDi2w8Y8vWNitgwGISyeEmgbEpgQoMx9cGBTvMq1a9YyZuRopIoV90qiOwLZJVQSUiKlopiUqhKUkWJYROPwWtasa3b/Fz1tIlIIOYjFcdv3FuUUF8TKyLbE0h04NqyhnmygyWazg0aMKJohW9taqW+oK/tksNxhzEDEmGLCDudAnFSKZCpNc3tb6TuDxTqyZu0ahgypw9hiwGu5QhITs3WwUWKcTKaKbLaTQliZC2nvvvsOI4cPJ9uVRcrBMSbsSJQrIL2VkIH+NovJp4Y11rCqyc1N2hZ6fEfa7VAsJWbHxKIQePhoMj7kCoaW1uz2vqyPTFGt1VEao7Xrmhg5rBETVlYQYUylIsA6i5ywFl8IqqqryOcLm9yz0lizejWjR48mDHWUXydWRGK2BRZrDQ31tRgdUAgry2WraCWdP/9lJo0fj7FgbTFDVWwtGQwM9LZotCYMQqbsNIalTa0ALrFUGVKKuDHGbFkEbogT2Mgjrlj+x3WZlIK66iTtuYACA1+z3xTdziKuc61tWsfwESMI+gneionZElhR5ioYmfJ1vou6hlreW7YMGCTWEeHu4oUX57HLzjsTFAp0W0gG+lQcU/EISRhqajIZ1je30BVGf66QpmexCOmzsilLIQgZNXJUWdrbTeeQihn4bD+n1aLEB+XjscAlWBFRBlnP86iqTjKksZ6HnnwGVV58PEIqHfY45CCYujaJtc7FobgNJh/r7YtAIPEsKGtwaoiKPrGln53rVnHCccdy690PAEWxQlZ0njEnFLpO+eATT7HPhAyeyeGKN8XtK2bL4sZrgbIKaQUqEtiTNmDq5HGsbG5hdVclj+flobYuHboA3nzjHep8TW2imFXMc1OgKG5FV66YmI+KgMiqn9QJZJhn1if24YWXXwEolUuoBGw0D7UDcxe8zIkzJiLxMaXifLZi7iVmIFGujBT/79JMCwTKghelIg50jn3HDWdVUxur27LIPtRgOSwtMDYoBWfFjTLmw9NtCQmFIhAKI4o6s0BgSIgCw6oVEyZP4OmXFpY1ycoW2k2Z6+NzL7/JlPGjqfNDRKkaXey+FbNlsViE1UgLROk8w/YmDthvT+59+Mke36w0irORLa37WayQrA7h/eXLOXjfGZggX1aMDHrGlMTEfFRc0gSDJI+gMWGYOKqe+x5/FnApSkWF9C2BAOsWn6/7820cevB+0LkWQYCUBinKc5LGxGwuxRp6Gtd6PECVKl+FQqGFT8JCowj51KEzue3eR6M9N4zDkgfNmIZnA9cg7UaCwOMt3jZzsxgCAYFwCohvA5QFFz8C2ZYmDj9gJq+9uYR317RigcE1DApW5OC1hfM5dL/pGB1gpEAIC0JHOTK2/3uKt8rfim1JAliBDPIMzySYuvsUHn5mbsW7YZQrJQJKFYivuf4PHHv4gYggjzAWa3HfieeveNvCm7PxF/CD9Rx54H68+vZSlrVmUWWjeKWxqqWVx554jNNPPop8VxPaGhAgRXFMge393OOtkrbiIlDRx0qDCLDCYISLa1RdLRw8YypdhTyPv/AKHgLnQ9MTedhB+zMk6QpqCVl0r3EIIWIf+JgPhBaSULjc2L4N8Y2OzHeKhAkY21jLsccdx5X/9SvUoGtaFnD9549/uZ0jPvlxGqt9RJDHCoEpFdaKiflolKYCAUaCJMQLOjn88EN4cu4Clq/rAKj4WkvdSolBCoEUgkUrWli+9G1OOeYQ0AFCFCdCgbSV40YTM/AQG2wGT3cwrs6y//4f51c3/jX6Znetn/JtoONJj4Tnc9UNN7HfXjvziT0mkst3EkSu6+V9KSZm8ygmRjAIQopFoZWNZMCwg12GV3PkYYdy5TW/J2DjfUXe/ejDfPmEo/F1F9poMN1Nsej7HislMZuLW7E1KDRY0MJHIyHMQtc6zjn9ZG665RbWtBfQ1u0xuBBYJVi0ooMXXnyJzx55BEIH5ITFSpylJFZKYrYAFtBCE9g8Juhk0tihzNx3Jn/471tLIoUxlS9cdM9HBmQCCXzvh1dz2MydmTZxNDYMUEhcCvtYIYn58BSVEDeHhfi2QCJs45R/+TQPPvYoK9e1IoUAIaNRvGinFH2s9w4sBAJtNEEYkAfO/OZFXPiNs9hvynh0tpO8gYDY6THmAyIsVmiscC1HWR9lPBJo/PxaJjVKvvHV0/n1zX/iteVrUZHtvq+yG2ruwn9e+pkD92DPXSbz+j+XkCfhBMhIh7EloVEQx+bG9IdLqGWQ1oCxaKvQWpBUllTYwtmnHkdbWxNXXn8rvpJIKQdnwLewIOGFFxcy56iDGdtQz5vvrMCIBMiod1kG/AQWM7ARCJRWJMMCo6ot3zz98/ziV9ey6P3VeFH2RGcWr/x2VrwHl8teUcDwxqKX+cZXTmXxksW0tXdipcIY7RJMDMrFjpitjSVaVLOahMlTY9s559Q5tLRmufy3NyNxBekQtoLlIdebmrMh/1z0Mhee+RXa1q5m1eq1hNpEGe3ivhOzebhoEdcZpPFICA/fhIigmYmjazn9S5/nrvsf5s/3Px457vfevxsFXPrEk/M4/qhPMHPPaSx84y3yoe0VLBi5b23RRrqhcXT7btuDgXhNH57uK47MvlagTJ4Gr4svzTkGz1d8+4e/RikIdCUP6JtCgFIE1rLwpWf48qmnUCUlby5fTig8LBYZCU3xwB/zYRCAZy1JU2B4lc/XzzyNux56gP997Dm86BvFaWIwtbHyuJmlzV20r1/FN7/yBdasXsGKprUEaKTw+1x9i4nZNAKBxSdPncxx1inHkUVxwY9+gZQ+NkqcYGzlK/pKwtJV63l9wVzOOu1fGVadZvWy99HaoHFWoEqVRWK2HVbg4vuMQOgQEXSS9nIc9PHpnHDcsdx08/9wy31PkJSSsI9+Uy4GCoGwEosHXPK1U5k4eXf+995HeHv5OrpCkH4KIyQGTbGIokBtoLCUDmiLJ+lb2hR9/LZt6O98Lg/Uh5OPP/x9dL8Y91vP81eOtF58csVgOImGfJYqT7LLhFGceMwhvPb6In5y3Z8REgLTfXeVPqiXU/7GpBAIZTAhjGlI8aPvXMLiFeu4/R9PkNUaoXxAYo1ASoUQFmu180Xu8epFr59lnwjx4SxMtu/W3p9r5qbO069b50bOt1n7buLc221fRL9d/6M8rw33tQihEMJzFXoJQXdRQ8gu40Zy0onHc/cDD3HTnfc4GSJyuy36tQ+mPlZ0jBF059Q6aNokvnr2mbz86us8+uw8WjsMwq/CSp/QOL/4kmomorxItv/RdvA8sZiN4axtzo226GpswoCMZ5gwsoZTj5vN24vf4JLf/MUJ56WkCd1sqPhWyrzt7t0lM4Ia4IKvfpHpU6fx3IKFPLfodZo6QwphZM03pvS8eh8Hyp5A3HF2CGxRUBECKd1oLHTIsLoqdh43ilmH7M/adWu5/vc3sXh1G1XKJ6uD0lxUcsOlD4XEHc79+dj99+SkTx9PVzbg6XkLWfz+WlqzhShmJcQaSTHhXY8L7HGxts9Bf1NszbYsNyEAFLvaBx9OPvpVCwRCVM5Q1hdSSdAGHXQxephi/MjhHLTfx/FSaW6/+x7uj7L+GGS/wungotspq9aHi846g10mTuKRF+fx7Cv/pD20YFUpH7eQAoNAW1smlDohSvYTnbwpoXtzlZatpZB8JGVmE/tvr303tf+W2rc4YEsESkNCCgjamTSqhiM+uS8jR47kmj/ezJOvLHFjSK/TDiZlBLpdanr/bUxDLad99kT22XM68156iQWL3+W91W0EwkdbgbHlLsi9j9mHch6NyTGDG20NnmdRtsCQ6gRjh9dz6AH7k6mq4rb/vZ2Hnl+IAQoAQrq210Mw712NpJIiMFxvKs5TBpg6qo45nz2GqTvvTD6neff9VbS3d9HctJ5CUECHuo/+YnqMZ3HM8eBHSonWmlQqxdCGOhrqqxk+bCi1tRneePsd7nv0SZ5ZtBQATylCbUqqu5vP+k4EIURk03BFpiC0hgxw1MH7c9QRh1FTW0NTcwttTa2sX7eWQj6P1u5QQoAxBqNNyWW3WDW45Ic4QNqm6K8ifZlCsj0Z8B3Zll9f2e9CkMlkGNrQQCrtM2b8UN57fxVPPTOP+594ni7Ai4btKJeHO9y2vPbthkBGbiYGmDlpDHNOOp6Ro0fz5tvv8fqSd2hpaSXXWaCtPUtXPkegw0go3TCphPu9uNoLQ4cN2wyhs1u56e+pbz0Bu/waPti+mzr39lNI+hdYt5wyI0Br0r5iSE2K8WNHsveM3Umn0tzzwMPcft+jtGtQnkAa4cZjBqcFEvpoRSVziftkz7GjOPn4zzBx/BiMELy9dDlBIc/6dU3kslmkUtGBNmP0EYPt6cX0JlObYUhDDY1D66lvGML6lhYefPQpHn5yLm0GktInLPYp4ZQRN4raaDitfIWkL9knI+Bj08YzYdw4hg4ZwqgRo0ilk9G41dsiVJyneh8l7j2DFWudEprL5mhuXs/KlatZtmot8xe9zrp81LJKi+xFs0d3O9uYJFJSSMq/VO6CM6LaZ8bu0xheV0tdQx0jRg5FKTBGo5R05jxrul21hFszGGiI3ivMZcL15ru9lO0jeu5jN/hGrz3txgeqojVp4MdU9B3nIoSgvb2N5StX0dzRxosLXmVluyt6owAlJAiJNqbH4Dfgb3cL0dcd7z1+JPvO2JM99tiD+roM1akUVekUQmiUtFHMluuL1pruxayIorJvtekWsvo8d2RtcVH07m99NTSxGUJyPy9MyH6l837bdv/7bkKp6G9fwJpNKCT9nbrffelrBt6sfT/IsxZItBZ0FUJasl2sXLWah598mudffp1O7b4hhHCJJHC7lY80g02k7vFUe3gzRkq6cSNMBvjYtCkMHzqEuppqRo4cQU2mptSWbA8r5KZGosH1DGMcSinWr1/PihUraG7r4KVXF7OqswuLm7MMLulKt3tJtBBb/L3iFZK+sajo3sLtfSkxFceG7osfZA7qoZD0PMyOIi7GbA0ECidOGUTkELijJrvtTwXzo80Dkj4oBZ5yvr19Hsv2XNw11gUnbglltv8V/4+wb+mfD77vps69vfbdlPH3Iz2vXvt25qDTRG4jZUjpIwxYQjb2gAdbJreNWkjKv2H6twTGxGwMiUs6YtGAdAtDpaZUXK61JY+QwaiQQHGF29n2i4PVxkeSaDFkMyahwe5iuy333dT+W3PfnscRlJywbDGyr+xYm32kjSgkvb6CFKIU0G4AodQGF1xarIpWnkrbVp4Yuqee4kMpekNCcdWsJNxZU/ok5ftUZzLU1tZSV1NDTU0NyUQSz5MltxhjNFobcrkcra2trFqzFoNl/fqWPibGaKWyt5lfgNEm8u/+aI1v+xPN/ranhaQ3Lji7fPVxU/ajHYM+hSlrS8Lph1Uq+oodiBk8uJ6mKAZml//d/dy4EDQ4xKO+6dNa0seHzpjVbc3tEaOzGR1nILjzxmw9RGRlLJdX5EZdvItyDYNaIemmd8RWX2xe/+grjtf06H+93AB6XMXG5SMLkXy6cfmi97n7DtDv++gbbwtg+j3vhvtaNt8jp7+4Z1Ny6e77O1v6WZuPIGB8EKnv/wNo6/ow4eSVzgAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from IPython.display import Image\n",
    "\n",
    "Image(filename='Screenshot from 2024-05-16 16-02-47.png')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "7effa4bb-c46a-429b-b1f5-0041db370353",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.12"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}