From 5812eb27a40fe31c68e1fb37779485bf0e53b076 Mon Sep 17 00:00:00 2001 From: Vikrant-Khedkar Date: Mon, 11 May 2026 12:47:37 +0530 Subject: [PATCH 1/2] docs: migrate company-info SDK cookbook to v2 API - Client -> ScrapeGraphAI (auto-reads SGAI_API_KEY) - smartscraper(website_url=, user_prompt=, output_schema=) -> extract(prompt, url=, schema=model_json_schema()) - Response shape: response['result'] -> response.data.json_data - Fix broken async example link - Update dashboard URL: dashboard.scrapegraphai.com -> scrapegraphai.com/dashboard Co-Authored-By: Claude Opus 4.7 (1M context) --- cookbook/company-info/scrapegraph_sdk.ipynb | 1888 +++++++++++++++++++ 1 file changed, 1888 insertions(+) create mode 100644 cookbook/company-info/scrapegraph_sdk.ipynb diff --git a/cookbook/company-info/scrapegraph_sdk.ipynb b/cookbook/company-info/scrapegraph_sdk.ipynb new file mode 100644 index 00000000..1a8e4505 --- /dev/null +++ b/cookbook/company-info/scrapegraph_sdk.ipynb @@ -0,0 +1,1888 @@ +{ + "cells": [ + { + "source": "## 🕷️ Extract Company Info with Official Scrapegraph SDK\n\n[![Open in Alph](https://www.runalph.ai/badges/open-in-alph.svg)](https://www.runalph.ai/notebooks/scrapegraphai/scrapegraph-sdk) [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/drive/12d7LycLAYO2bFsBo_jtPHXSaIg7AqR3O?usp=sharing)", + "outputs": [ + { + "data": { + "text/plain": "## 🕷️ Extract Company Info with Official Scrapegraph SDK\n\n[![Open in Alph](https://www.runalph.ai/badges/open-in-alph.svg)](https://www.runalph.ai/notebooks/scrapegraphai/scrapegraph-sdk) [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/drive/12d7LycLAYO2bFsBo_jtPHXSaIg7AqR3O?usp=sharing)", + "text/markdown": "## 🕷️ Extract Company Info with Official Scrapegraph SDK\n\n[![Open in Alph](https://www.runalph.ai/badges/open-in-alph.svg)](https://www.runalph.ai/notebooks/scrapegraphai/scrapegraph-sdk) [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/drive/12d7LycLAYO2bFsBo_jtPHXSaIg7AqR3O?usp=sharing)" + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "metadata": { + "id": "jEkuKbcRrPcK" + }, + "cell_type": "markdown", + "isExecuting": false, + "stdinRequest": null, + "executionState": "completed", + "execution_count": null, + "executionEndTime": "2026-03-26T00:04:40.205Z", + "executionStartTime": "2026-03-26T00:04:40.205Z" + }, + { + "source": "![Presentazione senza titolo.pptx 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fCwYfGyytazJw/o2Hd0144xA6et7+AdWEXP0wExvX6Q15uzfp+lhYO6rt22gyeNrf1nzl3i4dt+4qJN7QICm0seWlTY83TW7AUegV2njx8VFjPE3cVi7uIVnr5hoybPac53GTNmQpv2ffasWlFZz9PmCjopC1a269A9qH1X74DIHv2G/CjzKTy1CegxM3lYQFj3CZNnqKgZrFi/zcsndNjYac151qNHjSUNM7L3aeXqP2bCtH/9wpN4XBXD03+35K/oc6Gjx4RWhsGzup+P8Zi8esANI4Ouy3pf6OA+89dBd2WFs2/pJkT/1Uo/bH7v6//zww/ze13XUa7jmKfzrdJW+L69tjr7j025dzdl37lctDX63cvrBSfGZ+Rmlmzr/uH97fxpxmlPT+fP0U2dZ5Z6aWPuvc3ZaW9Ldke9e/aw6MyUjLd/Fq7zSa9Jz1MZ0Qiwm7ft7tZzoLWDd1hk7OJl6xpn2FOEpwAAAE2aioJefaINQxMrb79AO8fWUg9ZAOD781XCU1VFwzp/QiI8FWro8DRu0Ahbe48pM+ZFdoydMi1lyPBx8QkjOnXuNXTkhOGjJsrI8YcMH0+erli5Xrb82z6hoendzjW5rcsgBSWDZgq6jpb92rsma2o4RXiOU1LRl1e1D3MfYW7Y3ts60slh0vY+u9o4J1jqesoIN/QJ9xjlY9VZVJWxt8OgUNdkCz2vlio2UR4jFFWMFFVtO3mPszXt6m4Z2tZnz7Tw1f5Ogww0bGVVLIJdBioo6gW7jbI2DG3nOlhGUdBcQdvaPMbfNtrDcaCNvkfzxpp7BKBJE83ppC8v6u7XQkFHRdtGiWespG6ozDcVzcamLTB0VFQzVlDVb6Gor6Bm+LOclo6Js5yKXktVo5YqZFsDbSOHFvICGUn/4uhHhDLfjD4gm8gq68ooGyiqG//UQkND306ZZ6jIN5NR0lcUjg2qp8Qz+lmWL6tq1CpmpL+7b4tKwlPSYAVV4RClqppmotnk9OTUTeRV9H+UFeiaONl4RY8bO765cPZ2Sdsq6vF0bbUNbX+U1ZRXN26prPefFppahva/kP0q6zZT1Ocbt163eC45FRI7h9KJ9XSNnciO9EydPk0tJVovq2IoMLQX6Fr+0IJPCv+7GY+cmWZyArILGWUjgb5NCwU9slULUZ/Wmox5SnenwrNW07BRVjP9SU6LPPhRltdSxVhV1UqV57Wux8HmcnxSRkHNsqWSgZKaBbleymoWYteidj1PLdIWu6QvcUpPMRY+mG+Xvsw9fYFt2oeXRUuc0oRDmlqmLXb6NLDpHLO0JWSNXVqKRdrDSwXzjNPmWwhrqNGYp6ID/L+f1dqGd126Yn2Hzr1/lJHYWfjrQ3gKAADQpMnJa9Qt1NDUMTp1+myZaFm3YZPUQxYA+P5ww9Os7Gx55S8+rxRVNX38g3r1jes7YGD/uEFxAwfHJyQNHDSESEhMTkwaSiUljVo4cutnI7bMH7ZZaOgmYm7yxjlDNs4etG563Jr+flPEPiERngo19JinSjyTrj3iBQZ2K1Zsndwrb07yu/mTry+aenvuyKeTexZuWXVT38QhvGNPGydfds++KHARDrrHuZH/02M6aQnNX8jKZvIarZ2n74/b20JBk21LXuIUE25In35eKbop9Wc5QQf//bMiFv4kx29eXvjTJoo6rHAL0WNWCcJTgGp98W9ZlJ+Kr1EUX9P8yzJVzJNeoaqq6hHtXdvKrX184uiY6O5yynoyta2TTjpU+bxD3I8aThnhGvLzFyXD2P7D+/Qfos4zqPqIPn1YsQPnHBH3bHD3wj6yqqjZwy5WpkJ4+uXnoWhDFevubRbHBS/R07St4mywemoVnn5mJYpHLdOOz876fW3O1oi3NBWVKMU87eTMrDkGqXQrNv0UqbmKnqfszNAJuBrtQxvhKQAAQJNW51AjZe6CsvIF4SkANARueJqdnaOgwue+mpCY/OzZ87dv37179/79+w/c5eOXS1ZGbjZH1sccJvODUMb77Ix3Wf/ceT6p9wruJyTCU6GGDk+JH2U1yZfYVu6hcxLzZyU/H5m4Y+SgX6cPvZWSUDR2xOYWijo/txTQ7/+1r19HXtVCk28jymJqta2wYYpqNuo8S4nf/wHgO0A/gn6R0/pPc95PLbVoGFq3Sj49qP2GP7TQoP1GG/9PL8Lw1FbY87TqXX/6oG7J+6ElryZpo/CUymtVHp4azLF8OdcylWagLPQ8iDu4AAAgAElEQVT8hAajxqmzDFLnWUgqwC1mkiaWnAr7sVqmLrPO1VH1lhieshZyL1wjQHgKAADQpNU51Dh77nxZWdnDR4+sbJ3FEg0AgK+iivBUVkHt1evXxcXF5KWyr7GQekpKSi8evhlpkcw+IRGeCjVoeMr9KttMXtvayUNNy/Tfzfg/tNCUUdIhT39ooVGfL7ds2zoFr3XfFgCgCVDUszeP4PHtyYOqe+zWlqbAyUDPi1YrtsdfFDTHm95g4WlDmG3xTFHJXKZ2fzBrWAhPAQAAmrQ6hxq3b98tKyvb+eseqccrAPC9YuEp+ZmdnaOoqsleUuFpvX37jqwv/XpLSXHJxcM3o6yGsU/IGfFrPrzJRHjaSOFpeVegz32CZBq3ZxAAwH8V4V+tFLTdbbsTbjbdvhYPu1hXm64tJI1kIlqjp6xk1UFnXm+DbQ2hk+5iJSWLb+13B8JTAACAJq3Ooca9P++XlZVt3rJd6vEKAHyvuD1Pc3PzlNQE3FdT5i748OFDSY2W0ppIf/l+/tBNgYI49gk5HT1PAxorPAUAgEbGBgBVUjNTUjP/WhRVzZopaFUxfqvwvn4FwS8Kmg1DUNn4s1KE8BQAAKBJq3Oo8fz5i7KysuUrVks9XgGA7xU3PM3JyRULTzV1jKI6dx00eGi1FozYsrBaI7eO7Lwg1DCR+wk5M2EtwlNhePp1b+cEAIBvjN7XJvUj+rYIVJyk/tscAAAA6qxuiYa2vglNNEaNGS/1eAUAvlfc8DQvL09ZXUusgKyCmryyRrWCtOOCdeKrVfETEuGpkD+/r6yKPgAAANSNlhp6ngIAADRhdYgzwiI6nj5zjsYZDs5uUo9XAOB7xQ1P8/PzVXji4WkNteH3r9sn5OxB6zLeITzV7MfTtwUAAIC6MdLxlvpvcwAAAKizOsQQGRkZdP6WxKShUs9WAOA7xg1PCwsL1fg6daunXuHp+2yEpwhPAQAA6g7hKQAAQJNWhxiChqdkWbp8pdSzFQD4jnHD0+LiYnW+bt3qqXN4mjJ4Q+aHHISn/TQM7AAAAKBujHV9pP7bHAAAAOqsDjGEtZ3ztu07aX7q7Rco9XgFAL5X3PCUPBDoGtWtnjqHp/OHbc7OyEV4ivAUAACg7hCeAgAANGl1SyJUNbQLCgrKysrGT5wq9XgFAL5XFy9dKS4uZuGpX0BI3eqpW3gaKIhbP2tfcVEJDU8LEZ4CAABAHSA8BQAAaNLqHGo8efK0rKxsxco1Uo9XAOB7NW/B4pKST9klebBr9966zRlVt/C0m8uYa2f+LN9/adbHnIm9ljfE5zDCUwAAgO8ZwlMAAIAmrc6hxr0/75eVlW3esl3q8QoAfK9cPXzz8vJofkp+ZmfnJCQmq2po17aeOoSn4aZJm+cdzMspKI9uSx/cfNrfb0pDfA4jPAUAAPieITwFAABo0uocaty6faesrGz3nt+kHq8AwPeqpaL6kWPHi4uLWefT1LS0JctWePkGqvF1FFT4cko8UoaQVVAjKqunsvA0UBBHBWnFBWnHB+vEh+gOjLIcOjpm0dn917Izc1m304L8wr1rTrXVS2iIz2GEpwAAAN8zhKcAAABNWp1DjdNnzpWVlaWlpUdERhuZWks9ZAGA71Jwu/APHz5wb97Pzc1LTUt78uTpg7//+fP+X3fv3rtz5+7NW7eJGzdvXb9xs6K/bz39+9aziv6585x4ePf5oz9fPv7z5dMHr58/TEt9/u7j28yiwmKWnJLl9dM38QHTGuhzGOEpAADA9wzhKQAAQJNW50RjyrSZZeXLug2bpJ6wAMB3SYWnNXb8pKzs7BJullkepHJD1SqXUonEti2VtJDV2Zm5DTRVFIXwFAAA4HuG8BQAAKBJq3OioaQmWLNuQ05OLsJTAGhQ2voms+fMS09/w404yxpy+ZycFpc8+/v1vKGbGvRzGOEpQPV4+rZiT8XWNAkV29wIR0HPlaqOlbKWJUEeNNGzB9B0ITwFAABo0uqfawh0jfjahlKPVwDgO0Y+Z/oOGHj+wsX8/PzqOpnWoudpZYqLhZvkZOadO3B9dMyiIK24Bv0cRngKUCka8xFqutbqejYaBrZ0pZquDVnTVEJAYSP1bUn7aZvZykY7ChVtq9h+SaMmzBg1fka3Polkp9U2mLRWVcdKTcdaVcea/OQ2kl0RVfpqdYfAra0ywlebzgUFqC2EpwAAAE2a1DMRAICGVtmEUd8IhKcAlaJpmrKW5dDRk3+/dvN1alpa+punz14cOHy8c2ycKE6VfiOrPQS+ob2MmpGjR/DSlRv+efgkNS2dePzk2fZf93WOjW+ExFCBb3bm/KXS0tKioqLjJ88qa1lUd87tvIOjlq/euHTl+sUr1k2bvVAsb1XWtkwcNp68RIyeOFNJUFWFhKtf2LLVG5esXL+0UhvGTJyJ5BS+VwhPAQAAmjSphxoAAA0N4Wm9IDwFaRHdbG4dN3hUevrb4vKlqKiI/nydmi4wdpB6I6s9BDVda4+AiKt/3MgvKBAeQEkJ51iEXH3DNBojPL0sDE+Li4+fOld1eEqo69mcPH1e2MLydgZHdONzBhmQ1zA9cPhEYWFRYWHhpSvXWvJMqq6wc2wcO96iomKxM0DX3Lx9D+EpfK8QngIAADRpUg81AAAaGsLTekF4ClJBc7QOXfqWlpYWFxfTXpPPXry8/9c/qWnpJSUlqanpAiMHbvmK46JKrJM9qLa8xJeqHbeUuxd1PZvoHvHZ2Tmi1PTTqM0fPmZ8+PCxsLCQPBeGp37tq2jJV2lqFeGpxH6vumYub9+9586jt3PPAW7nU3kN0/2HjtMA9OKVP+RE4anY6eXqHBsncUo+7nLj1t1ahadiIwnU/HoBND6EpwAAAE1aQ+QULRXVldQEhJwSjzxVVNWkT6UeoEB90IuooMInj+WVNehTWQW1Gm7OfRuIvUO4u7B3cvUPbOfq4avG15H6IdcZOT9mVvZ+ASEe3m00dYykcqXEzm215ckFquJVckQ1v47fIISn9YLwFKRFgW+2Y/d+OnBxUVHRwOQxSgJzOQ0TFR0r76Conbv3s56nEgMysViQ87jS2+TZEKvVpqUs05QY2jLGNu5v370vEoW/hYWFZ89f9g6OoqGqvVtQXNLoG7fuuvmHizWJZ1B99ld5UyXEiBXCU8sqTpSqjlXvuKE00GR9fp89f8ndqmJ4KtYMsacGVq4+wR19gqN8Qzp16jaABaZLV23wCRGuJ6+6+oRxL1DFSuh4Al+sqfzMVDwJAFKE8BQAAKBJa4icImnoCDpj9czZc8nTl69e0adNOg77L+fo4k4v4sVLV8jTbdt30qcRUdE1rOHdu/d0EzklXtzAwfTx/IVL6KvqfN2Vq9ZmZmWx6c7J1+QDBw/b2LtI/dhrxcjUeunyldwDIcvV3/8I79C50RpAd7p8xeqalPcLaMva6dTas7LrvvPXPTW5jt8shKf1gvAUpEWOZ3Lh8u80oXvy9LmKjiXf0J6+xI0O6a3xPAPbXgOSl6/etHbTjlXrtnTvO1jTyN7I2r1Dl74dYvpGdunHN7IPDO+yZsO2abMXquvZqGhb+rftPGXm/DUbt63ZuH3spFlmDt50JnryqqWzb2SMcMOwTr2UBObOniHzFq9au2n71FkLzB282bxPtLCOmcvg4RPWbtxOKk8ePVnLxIkOxkp+HjxygvXfJLsga8RaXn7Dvq2RtVvHbv3JTqO69jewcnVvE75s9UayO0VNMyWBhVdQ5PgpKaR+0tRJM+ZbOvnQphJWzn5RXfuJNuwnMHYkT+cuXEGaOnPeUgsnX1JM48vw9MTp8/J8047dB6xev5Xo1idRSdP8y3jR9tadezSzTlmw/GNGZnGxcKiBgPZd1PU+dT6tGJ6SQ/MOiiItnDFnCb1MYhNMUeQle9dAFp5OnD6XRqUCI4eImD7kYpGjIGebnhmBkSM5J+QqRHXpZ+caSHZh27oNKUDWhHfuRcp06TWQnPZBQ8fZuQaQSyy60H1JMUePkIVL15CTMGbyLG1TZw3kpyBtCE8BAACatIbIKRCefn8aNDwlay5dvlomacnIyLB1aCX1w68hT5+AtLR0iQdClmEjxjRCG2obnm7esp21sOImCE8bB8JTAMmECd3h4/SefbKs2bDNwNJVRVvY/5Gbx6nqWCWNmPji1esS0XCiRSLkcXBEt9COPenK3Ly86bMX5eTkksdPn72wdPJ9+Pgpzf5oAfKf9+8/Dhk5kVY4YPAouv7lq9T+iSMzM7OKiuh99yVv3r7r3ncw23vc4NGvUtM+11Nc/Pbt+659Bqnr2WibOpHCdKu//n6kZexIU0Xyk6KPyU9NI4eQDt3pAAWk8OwFy0R/RSy+cetuM2X9azduFxYWsl2Qn/n5BSPGTVPVsSYbDho2rrxzbvGchSuyc3KLioromrz8fHIgqrrWn8PTImF4unn7bjp0LO3Se+DwCS0TR9pllbTH3T+clCQvkaqsnP3u3LsvbFhJyZHjZ2j4qyEpPNW3aJ2a9oY2I2XB8sqGVZUUntrxDeyMbT0KCz+d4gVLVtOSJrYe5DzQvYybMptcl1HjZ9CzRC7WjLmLyWkhTw8cPj55xnx6OHl5+dNTFpPrxU7X3w8fG1q7NcKsXABVQHgKAADQpDVETtEvLoFGKuMnTiVP//7nIf1fX3bnLzQ5Zlb29JqeOHmaPF29dj19GtQ2vIY1PH/+gpTPz88nj2N79qWbT5+ZQp5Gde5Knx4+eszdy1/HwNTN0+/0mXNisd03TqBrlJ7+hraZNL5r917kKCKiog8fOUZXkn8CVrbODd2MWoWnPE29nJxcblStwtPiFqgYnlZxHb9lCE/rBeEpSAXt1JmQPJY7LGZmVvbYybONyrMwatiYKSx2LCws/PDhY0ZGJnnctkP30KhY2vGTvEo+uWiZR4+fOrgHkQcZmVlPnr148M+jl69SaUKXnZNj3cpfVceqf+JIukdSjHzMZWfnfPyYQdeQYhmZmaZ2nmTXkV360hSS7Pfh46ekZmECKEp73fzbewV2oAObkr3GJY2ifUWNrN2tnP2snH0pS2dfC0cfTSOH4IhudHdk86ysbFFaWnL91p3myvrpb96SA3/67MX9vx+SporaIDwo35BOWiZOA4eMYcdIHuTm5r3/8JG0ivYzzcvPd/IKURKY0/CUFiPrWRm6bcfuA8qTaMupsxbQYucvXZXTMBk9YWZJ+XCtlk6+NO2tGJ66+bUvH8W16MDh44qaZhIvq8TwVONTeFpI2zN34Qpa0lgUnorOScnoiTPJCRw+diotQ46LXlDydO/+IxOmzSkfGLdYdIGyyK83uovCoqJ1m3ao6ljX8w0JUB8ITwEAAJq0hsgpWrv70EilY3Q38nTP3n3k8YO//+GW0RDot+/QqVffuJDQCL62YcVKWiqq+/gHxfbsGxEVbWRqLfaqrUMrgo4m6ekT0LPPgKC24WzgRdKAHr37twkK5Q7jaGBsSTYxs7IX7l3LoHOX2E4x3bX0jCvu2sLGsUPHmN794iM7dTG1tOO+pGdkTiqhEZgKTyu8Q2eya0cXd1aA1E/bxt1KWV2LrtTWN6n27JlbO5CShiZW5LG+kUV01x7dYnuTB2LFyKGRAyTnh7zqH9iODkVKqWpo093RIUpDw6NII1u5edNXyVkKbhdONiRnqeLeySkNi+hIypPKxcLujIwMch0XL10uw+lcTE4IvVh0j/SpRAcPHSHlb9++K8OJ5Lr36EOeTpk2kz71C2jLyusYmNJvrC9evhKrytjMmly+Hr36+QWEcBtJGs9OvoubFzlGblhZxWW1tHUiW+kamtErSFpFThr3lHKvL3nbkJpJ/WIvLVu+ih7FqjXrxF7atXsvfWnUmPF0DXlLkz2aWNiSx23DOpCrzN6KVVxZ8pgeoDpflzx19/InJ8HLN5C7L7Hw1NnVi1xN8kYlb8KKh5OYNJQW/uPadfqgf9wgboGK4WkV1/FbhvC0XhCeglTQLE9dz2b1hm2l5XNGlZQIg7OPGZnTUxap6VrxDe11zV3eiaY2IktOTm5Yp15aJo5k5fgpKf7tOreLjOXOerRo+drQjj1nzlti5xq4cOkaA0tXnmhHyloW9x/8Q1O5keOmK/DNuOHpw8dPrZz9tE2dp8xcwFYOHzuVNPLV61QaWa5ct0VVx0pJy2LVui20zIYtO6O69qdtLioq8gqKJMeipmu949f9eXn5XI+fPNM0tKc9T2lKSapctnpj+069RoybJs8zmb9ktZm9F8/gUzfbs+cv07Oxav1W0oaBQ8bSYyQ/7/z5l6WTr5ax4/ipKeyoSZPkeCZny8NTsoyZNEtg5NApdgDLT+cvWaUoEN68ryQwv3n7Hq1/8sz5pMFG1u6ZWVl0F30ThtMRCcTDUw0Tcg5//e0QKUN+K7QJja6sp+fXCk9Jc7Kzc0ZPmNG5R3zisPETp81l75Dd+w7pWrSydvHLyMykzX73/r22qZPU39Lw3wzhKQAAQJPWEDmFggqf/G92fn6+hY0jeTpuwmTyeMeu3azA+IlTc3PzWH838n+/4yZO4dYQ2akL7eDGuuxt37GLp6lHX1VSE9D1s1LmHjt+khW7dfuOibnNocNH2Zp7f943MLakW7EMt1ts76zsbFqANCMxaSjbr7K61r79B8u+XMgaFsKu27CJdtALi+j49u07VoY0j06dRAuQxdMngFU7OHk4Xdm1e69qz96jR49Jyf0HDpGzRL5H0A0LCgqSh43inp83b95yG/nhw4f2HTrRV0nb6Mp+cQm0Nrps3rLd1qHVXw/+Zmt+23eAO+MT2QU7M2R5+epVYEh79uqJk6fJdSR1ksc+/kHk8avXr+lLWnrGdBNy+JUd18TJ08gmGzdtlRGFreQckqcOzm7k6ZBhI+nmly5f5Z43Uq0aX4fbQlUN7e07f+Ue+IuXr9hwoqPGjKcr4xOS6APyvYm8G6u9rPRW9NVr189bsJgmtmQhR0cOk/uu3rBpC3u1TDSSqbHZp1ifHBG9Inl5eRX/GGBoYtUmKFRDoM/W0O6opAb2hjl67ES1V5aFlYMGDz1+4hQrc/nK7yy2ZuHp+o2b6XueLk+fPnPz9BNr2I2bt+hZsrR1oodGmsQtUDE8reI6fssQntYLwlOQlvJxRe16Dki+dedP1v9R2MO0qGjbzt9UtK36DxpB15Pf6J4BHdiM8OQBERLRnW0yacY8ZS0LdT1r2glRUdPM1N4rIqZP0siJi1ese/rsOY1o127cLs83peEp2SozK9vIxp0O1kk2efj4Ke0ceuzkmcD2XWiZnJxcV78wKydfSyffXnHJtMvnlT9uRMQI++fTzpjegcLwVF3Xevuv+z7d/y9aSFUvXr7WNHTghKcl67fsVBKQptrQpirwTU1sPSKi+wwaNn7BktX0VJDCp85eVNKySEgey85Mu6geGob2fHL4ejakGA12r/x+/ScFnbMXrtD67z/4R0M0UICsutG1m3doALpj934FvhnZsG1kd3rXPyns7NlWWcvyZ0Xd02cvlh/1WSUtYcZasecpPe3Gth56Fq3Y3f0VfZXwVFistDR+yGh6lVW0LafNXsgGNLBy9iPbkgZs3bmXReeGVq5swFyAxofwFAAAoElr/BSDJVwZGRkXL11+//4DC7xogU4x3VlE9fz5i+zsHPr4+o2btBceC0/J/2aT70rHjp988fLTsKp0NLPTZ849fvyErmHdAGmQRGojXwrITm/dFn5foGVYOLVi5Rq2r8NHjrHxKxMSk2kBGnWRGvLy8v568PeJk6dZCtyjd39SwLdNMH3KHQXyzNlz9HjpHOVVe/ToMSlMQ8xLl69evHSFVkjOiYm5DU3HCgoKaIWkkZev/E77ebxOTaU1sPCUnJ/UtLSjx06wSJScH7LV8ROn2GlnfQZ79hlA15BNSAHaz5SUF+ukKVFNwtMq6BtZcENb0oAdu3b3i0uoOE89uwX+5atX5M1DzwO5Fk6tPLhvLXZRaMZX7WWl4Sk95KdPn9GBJsjy8eNH1ueXpZz3/3pA3mD0zXPnzl3a39neyZW+evbc+ZocMj0Q7i3zffrHV3tlWZRJm3r79l12LFeu/kFTZhaeir7yZ508debuvT/pmj+uXee2wdnVi3vVyJuZPiXrWZmK4WkThfC0XhCegrSwG/Npn83oHvGXr14rKCgs7/5ZGh7de9mqjTQ1e/HyNe0UybZVLw9PaabWyidUozyQNbR2W795J+13yT6IaXi6fddvrOcpefr4ybMWqoa0TmVtyz+u36Lrr167OaA8YC3vEssIs9279/5q7RNK20YWUiE5BNLCxGHjtuzYs3Hrrn8ePaYvVQxPO8T0FRg50GPXMnZctGwt+d8X9v9GLHk8e+EyC0/ptlbOvnxDO9qBdNeeg3Ts19t37/8gp03D0yJRAKqsZUHKtFQ3vnDp03xcu387pKBpRpq3a+9BWltuXt6yVRsWr1i3cNmam7fv0WMkv19tWrXhG9pLDk9FEbNGlbMzfa2ep1lZ2QaWrTXKpwtj4SlpoZG1O23G9JRFdHwDcs5E4an039LwXwvhKQAAQJPWyBGGCk+LRVQ6BqYyopEiX6emkjU3b92WEfXvowNH5uXlBbcTjqepqKq5Y9du+n1h5OhxMl+GpzQ1M7GwZd99Ynv2lRHN3k7zuDt37tJds154585fUNXQJmsCgsPoNxEWKi1YtPT3P66tXb+RPjUwtqSbrF67XubLBG3L1u10Ta++cXQN2ZauodHb8+cv6FMtPWMatLFqq/bo0WNaYdzAwXTN+o2b6ZoOHWNkRPnsgYOHnzx5ymaiX7NuAy1Akz4WnpKW0O66vfvF0zU5ObmWtk5kTWBIe7pmybIVtBIaQJO9a2gZyIhujf/wQRiwrly1tiaXNWXuAqJzl9i6vTH8AtqSt0TZl0tBQcHc+YtaKqrTMj7+QXT9/gOH6N36bM3CxctkOOHp8xcvHV3cza0d6G371V5WNgkS2R1dM3nqDO4aaztn+v361z2/0YwyIjKaFqC9iUNCI+jT7Tt2sYOydWhFTwuTNHQEfYmlwMeOnyRXzcs3UI2vU+2VZVEmaQx9M5B/HUePnaAraQ9cFp7m5+eTZsuIBmr45+EjuhV3SNPlK1bTkm2CQsnTHr360acrVq5hZRCeNg6EpwCS0f6eLELVNLKXUTVMWbCcRZYLl67ZvH0PTc2ev3ilpmvD52yuxglPc/Py7N2C6Hp5DdMDR06w9bt/OzRqwoxzF6/SVHTbrn3c8PTh46csPFUSWHyaPam4+PLV69zxWMsqLI8eP+UZ2GVmZdMd/fnXPzRSpEGwkpbF1p2/sdj3y/C0lDwWGDkID0HHatfeA4WFRTT/3Xvg6OgJM1ev3yoxPC0qKrJw9KHnTVFgvu/gMTrJ1c1b937khKfHT52jszmJhaeKmubKAgvSGDZDV2GRcCksKmJrSG2jJ86sLDxlmWmdwlP3ggrhqUnl4emHDx91zFzojioLT2fMXVwenpYhPAXpQngKAADQpDVyhMEyJjqXFAtoaJ9Kon2HTrQAHVuT0hDo0/6ndKRFFp5eunyVlcnIzCRr3r59x9Zcv3GTrHnz5i19ysJTb7/PY0Sy4IkmuYy8soabp9/Y8ZPo/3KzRIyFpx7ebegaY7NPWRWLU8dNnELX0DvQ2Yzk3AE9q/Do0eMyUc9TFhqyfFZsPEoZUZ/Nzl1iL166TAvQrJCFp7NS5tJirdy86RpyEugaNb4OXfPrnt9kOMPUTp0+i1W+dduOMk4K3NBUNbQTEpNPnjqTn5/P/frJIs6Zs+fSNdy76b18A1kHVRaect9dNbmsn3qeZmayG/kVVPg05b//1wPydMSosbTmgOAwVhuNmzdvEV73oLbhtMCBg4dZgYioaLGv0uQ9SV9i4Sn3WKq9sizKPH7iFCtJ3mZ0JY25WXh65NhxVoaFsGz4YPKP6OPHj2WiP2PQNcrqWvQfEflJ/7ogg/C0sSA8BZBANBSpZbvIWEVNczVdazo9vZaJk7NnCO0FSZalqzaMHD+tuHzAU9vWATRvJVR1rFS0LUMiuomHp/q2OqbO795/oH/YdPVrTzYhJY+fOichPC0pISVJVaRCTSN7FW2r16npNDFctW5LZNd+NMjLLyhw9w+3cvG3cPQmLJ18zey9TO08SbNv3r7H7hyfOmsB7d1JalPRsdqyY0+l4WlEN4GRAylm7uAl2ltJXl6ee5sIdV0bUsPSletpmskNT+lePAM7aJk4CowddM1d0t+8pSuPnDjTXFn/7PlqwlN5DdOwTr3YPfuFhYUFTEFhacmn8FQ4ixTPRJ5vVjE8Vda2pGe+DrftG9l8Dk/XbNimaWgvMHa0cvYrQ3gK3wWEpwAAAE1aI0cYLEmkN7lXlDxs1KcCvfpx19+8dbtM1B1VhhOesiiQoPcv37p9h62hN7y/e/eePmXhKXfmnEVLltGVrh6+MqJwLSEx+dz5C2RH3Mxr+85faXkWntIJnWREXVzpmm3bd9I15CX6jYzeuU/z2SdPntbwFD169JiUf/joEVvToWMM3QXri2rn2Hr12vXPnj0Xy+ZoT0MWnrJ+jrYOregacrx0jZwSj3sOY7r1pE8LCgqys3MoNuKqxLmGGg7ZXbv2kZu3bKffd8hXITq0KDnDYidfDAtP6UxlTLWXlYanv/9xjbsVeS+ViVJsGU4nTfKljJ0f7iChNvYutMDdu/dYDQHBYQ/+/oegHT/LJIWntJ8vU/WVZVHmnHkL2SYaAn268tDhozKc8JSFzsTipcvpSjYIAxul4e69P8kblSLvUrpyQHwiLYbwtHEgPAWQTI5ncvzkud+v3Rw0dJxvSEcXr7b+odH7Dh1jM0AljZjg6BGck5tb3rvz7+CIbqZ2ntYu/mMmzvRoE9FWNGEUNzzl6duSV/Py8ouLhR/ifm078Q3t3duEv3v/gQ7ryQ1PaU63d/8R21ZtbAcF8g0AACAASURBVFr5b925l64pKioK69TTwtGH/Fag9W/b9RvZr6aRg5aJo4WDT4/+STpmzmR37SJj6S8MmqAePXEmbvDo0KgesX0H37l7v5Lb9j+Fp5pG9ratAz7ls/n5weHd+AZ2noEd3oomyJIYnh46dsrK2Y80bOXazexe/sTh4xUF5mdEE0ZVEZ4q8E1JhbSqDx8+kkqMrN0NrdwIHVPn+UtW05cyM7OMbT0qThilqmO1dNWG9+8/Pn32gpzVyvLTysJTcryvXqfSNr98lUoO3NzBe/nqTfQQEJ5CU4fwFAAAoElr5AijX1wCzWIGDhoisQBLV/v0j+eu//P+X2WiPnEynPCUG+jQ8JQ73U1l4anEO5fpXDr7DxyiT69c/WPajNlBbcNpDFqx5ymbG5114WThqUx5YPr8+Qu+tiGNIKfPTKnhKXr06HGZaKortoZ1YKThqY9/EB3T88OHD5u3bO8fN4iN6SnW83TQ4E9zYbHwNGXuArpGLDzt2r0XfXr79l1yEsRwZzpqCKvXrj90+Cj3hne2nraKDkpLDpabJFbEwlPuPFc1uaw0PBUbEpRcgjLRILnk8cpVa2kNp06fFTs5y5avIgVkFdTo6BPkO5qji7tYwzS0DOjmFcNTbrFqryyLMtnwAjKcAWdJnTKc8JS8t1mZiuHp2XPnyypfWI6M8LRxIDwFkEyOZ3L0xBk6FCZbWL/I1LR0fYtWPH3bvfuPFotCMnZ3OV1CIrq1i4qlkSj3tn0VbauXr1Jp1kaKvU5NL08tJYSnbI/cp0+fvdAwtFPVsZo9f1nRp0nehWVevU5Lf/OWPMjLz9c1d6H7mjxjfpHo/vnSL1tYUr6Ghad0vNTPPU8N7AysXGlX0JLyqaW4lYjdti/xLP15/291PVtyRFWEp2QXe/cf0bNoxc7D6bMXSQE2BgLf0N47OIq2hBzIrHlLyKX5HJ5eFvY8be0bRp8WFBQcPHpSQdNM4jVl4SltIQ1PaeffVeu20lFo2eGwUFgsPCV7ef9leDp11gJOeOomFp6WlmLMU5AyhKcAAABNWiNHGN5+gTSL4Q4AOnvOvNNnzi1ZtkKFp9UmKJQWWL9xMytgYGxJJ9I5f+GiTL3DU3bHPStDFj0jc6fWnvQxHUCTuyMWjNYwPGVZpFj4VROPHj0uqzI8/W3fgTJRJ1w2wXrK3AW0AB3PtA7hKZs7iJvKmVs7NE6f07t375WJYkfa/5ch15e2qm1YBxnOeAjcbsvHT5w6eOgIHQyXhad+ASGsQE0uKw1PP3z4wG7bV+fr0hzzrwd/k6dDh4+mm9BxRSkbexc2tAIxf+ESWubQ4aN0XFSGHBd9SSw8JV/0uMWqvbIsyuTeks+Gwli5Wjg3Wk3CU1Ib7YiTkZFB3mlcmVlZtKSLm5cMwtPGgvAUQDJ5vrB7Y8VkkCw3b9+zdwuiY6FqGNqtXLf5y+iQhqfdwzr2pBlcXn6+o3uwhiinU9O1Hj1xJrf8s+cv/7hxi5b8de8hFp6Sp2/evjt19sLnOK+09M69v0ztPOmutU2cVq/fyo1Ey0R3THz4mKFr5qJRPudVRHSfJ89eVDwKsmRmZk1LWaRp5NAuKpblhu0iY+mEUep6NrH9kvLz81nlf97/e9uuffTp+YtXlQTm3Amjrvx+g3u6XqemOXu1pWeSDupKXj1z7hINT2XVjS9duUYDyl/3HuwVl8xOXfc+iZ/Obfm10DV3yc7JoZWnpb9R0bY8fPQU3ZbsVI5nrGfR6t37DzTvXLR8rZJoFxXxDe0d3INYC6fNXsTOkqG1O6mZe3JIPeWHVjph6hwVHSt64UpEE0bpcsLTWfOWsi7Gxjafep7OWbiCVWVYnqgCSAXCUwAAgCatkSMMOSXey1fCkSJzcnLDO3QmT739ArnjmcoqqNGJg8g3kfiEJEVVTRMLWzpbfVn5ZFD1DE9Jbep8XbKmU0x3+k3kxs1bMsI5i0JoATaH0rgJk+maHbt20zU1DE9Js+l09rT+y1d+r/kpevTocVmV4emp02fLRPfX6xqayYhGCaCbkIVONFSH8JSd9o8fP9I5uKztnOmNhnt/219tm8n5pN0wBycPr8O7YvTYCbQxr1NTB8QnOrt6+fgHLV2+kq7MzMqiQ3DaObama/55+Ig8bqmonjhkGF1DR8iVGJ7W5LJWnDBq4eJP4znQecDMrR3opbx2/QZf21CmfHol8n2W5rYyotvn6SioZaKUv1tsbw/vNhGR0es3bqYdXcuqC0+rvbIVJ4wiZ4b9AYCuqUl4mjJnPn3KBnZgxo6fRF+iUWytwtOQ0Aj6Nmjl5l2Ht0GDQnhaLwhPQSo+pZOmzm07dB8zaeai5WuXCid/Xz9m0qyAsBg1XRs2kZSGKD5z9w+fMG3OkpXrl67cMHPuknZRscIZh+w8u/cdTMT2G6xr7sI2UdezCe3Yg9Y5ZOREHVPnwPZdSBlS0r9dZ2UtSzZh1PMXr1qoGMQljVqyYv3iFet6xw+l9+OzqkhhjzYRYyfNXrJyA9n1nIUresUlWzr5srbR3ZEHge27jp00i9QjPJDl60hrI2L6Glm7KWtbkldJU3sOSO7eN7FH/yTymJ0EcmjkeOcsWkEObeT4aUbW7mR39KDaRsaSAgOHfL5tv7VPaJ+Bw0g7Sf0DBo/SNnHilc9H3zayO90qpEM38lTY2VPHKqxTT9HKRHLUXoGR5AHRtfcgLdGGYteifXlh0kJNI4fg8G7kabe+iWGdeqnqWAl30aH70pXrp85aoGveSix75dI1c6Et6dF/SCvvduxMEsa27sPGTCXnZ/6S1eSKkMKic0IuX5KzZwg5jU4eIWTvpA0xPQdqiiYT0xDNwdXaN5Revti+gwXGjrQ2V9+wWGFh0UrRBFwA0oLwFAAAoElr/BSD9cosE3XOoA/I15OwiI60QEBwGBttkxUoK5/aSKbe4SnZV15e3qvXr1nNdNfqfF0Wop2/cPHa9RusAbTHq0yNw1Ni2fJVrP7EpKE1Pz80L6siPGUdMFPT0g4fPfbx40d2lujt6nUIT2VEw56yHjNPnz6jXX2LioratY+sts3sznFyfurwliAXlJ5tiQt3hAd2+zz3vUHOAx0UVWJ4WpPLSgvQiPP9+w90JqUyUV9UOs0994Lm5+ezsUHJu44VkBF14H3+/EVlB5Ke/oa9ySWGp9VeWRZl0qa+fPWKTa516fJV2t212vCUXHo6wgD5V8bexgw5HFo5nTaqVuEpG3ODHea3A+FpvSA8BWmh0Zimkb26no2ytqWylqWKtiV5rCnqlSmW7vEN7dVIMS1hMTrFE9tcxKFCeTsVUZ10vWhKKOEwo3Q2p8/h6ctXLVQNNQxEhUUpp1gm+HnXogIqol2TyiuGj6R+0ni6U1JSTdea7I5bIW2A5pcxH62fVEu2oiEsnb2KNpUUHjhkDAtPnTxDBEYOtH4W3bJK2FYSV3LOlX3F6JNbmJ5MsQppeXpcFc+SWFWsngq7sFPXt2GnkZ40WpjzfnBgbeAeo9iF/nKlfRXtAWgECE8BAACaNKkEGd179Hn+4iULlR78/U9kpy7cAu5e/hcvXaFZHlnevn03acp0dit0PcNTsi+WnL5OTe0W25ttEhAcxubqyczKGj12Ak3rioqKaMxU8/CUzV9fUFDApoOviUePHpdVGZ7KK2us37iZnZyLly77BbSlKRudD6pu4SnRpXsv2v+ULn89+Jt7l3oV6hmeyogizoWLl7HUki53797r3CWWW6ylovqMWXOysrNZmZOnzjg4u9FXJYanNbmsNDwlb5hxEybTu/XLRJOPObX2ZJWQt9+0GbPpfPR0OXX6bMXRV7X1TVLmzE9Pf8OKkUtz/cbNEaPG0v7OlMTwtNory6JM8nT7jl20JPn5274D7D1WbXhK3v/08cFDRyRei8NHj7H3W93C05DQiLq9DRoOwtN6QXgK0lUx9pIYhFUM+2perVhhVU54+qI8PK15eyrrdFnDA6lYpoqmVgxP2c3pVfT9bOgrVef9VnGkAE0awlMAAIAmTYpxhpWts7uXP7fjnhgtPWNXD19rO2d5ZY36746Fp3JKvJaK6s6uXg7ObuSxWDHyEtljKzdvNvxl3ZAa6O72HzjUEGdPU8eInBza4/LrsrBx9PBuY2Ju0xDNrpqsghp5V3j6BJCzJ9CtNHFWUOE7tfIgZcSmqq9C1ZeVhacyojScnFgzK3uJ9ZC3InnbkAIV+2yK0TU0a+3u4+jiXtvptqq4sizKnDl7Lt2Fm6efjoFp41+pytDRXe2dXKXeEjEIT+sF4Sn8txGGp4NGlIqmV3peITz9plQRngLAtwPhKQAAQJMm9VCj0XDD04bbi4IKX0Ogb2Zlf+nyVbq7iKho9qqrh2/K3AWV4c6DBI2JG55+y8TC02+Nlp7xseMn7//1QOotqQjhab0gPIX/NqKepyNEPU9L6hOecoZYFeEM0lrbSsjmPEmbi8LTsWySqK8Snn7a45c3xQNAfSA8BQAAaNKkHmo0msYJT63tnLk3nl+7foP7qoOz26gx4ytDJ/yBxofw9KtITBp6+/ZdK1vxoQy+BQhP6wXhKXzHePq2AmMHTSMHgXAkTYfyCYhsjW3cvQI7+AZ38gqM1DD8YshU+kAg2oRsW/XgnoSJraeTR7Cje7C9W2Btw1M2kKiDe5CxrQed6EmsDFlPGkla6x0UqWXi+FXOiZLAwtrF39rFT4Fv1vi3/wN8fxCeAgAANGlSDzUazbLlqx49eky0VFRvuL0oq2vR+XZKSkqOHDtuaGIl9QOHav1x7Tp5Y9RkWE/psrJ1pu/h4SPHSr0xFTXonyXqCeFpvSA8he8VzQRjeg7sOWBIz/5DOnYbQOdZolS0rchLPfonkVejuvZjwaW6no2lk2+vuGSynrzK5l+SSFXHatGytcJOrCUlr1PTBMa1nvNdXd/mxq275P8q8vLyBg4ZQ5vBJrkSdUq1YeofdNIadu09WFhYSP6H5sjxM+p6tU572RRSSF0BKISnAAAATZrUQ43vT0tFdW19EwUVvtRbAgAUwtN6QXgK3yuevq2iptnZC1eKhUtJ+pt3LPIjzB188vLz6XCi2Tm5RtZudBMVbctJ0+fRTV6+SlXVsapiF5/D0+K6hKdkd3rmrbKyc4qKigoLi46eOEMqJCvJT00jByePkPDOvb96QKlt4pSRmUUOj+w0Lf0N38COX7OmqosapmvuEhTexc41AMkpAIPwFAAAoEmTeqgBANDQEJ7WC8JT+I7RJLS0tJSGpN5BUSw8HTF2KhtLlCwR0X00RR0q1XStz10U5q1k5bmLV1W0hWkm78tqWW7IwtMSST1PeVW2jVZCWnj2wpW8/PyPHzN8QzrR7qWjxk9/8fIVqfbm7btkTbWV1PxVYTKrazVu8uw80bJ89UaeaI+VbcV9rGfRevuufUVFwjPTL2GE2OirVVQC8N1DeAoAANCkST3UAABoaAhP6wXhKXzfgsO7svB08ox5bJaki5f/4IanKQuWq+vZ8A3s9C1aZ2Vn0/Ljp6bQXpmkPN/QXrOcRnk4WDE8/VzM6HMx9oCsZJWwm98Fxo5mdp6G1m48feEd8ZpGDn/9/ZBUWFxc/Pu1m/zykhIqMfr/2XvPqCiydmH777fe8573HGaU2E030Ikm04Em5xxEgkhGCYJEBURRgiSzYEYwB1TMOZLMjs6MOeecMZPl210byrIJBgYZeO5a12JV7bp3rOJ58Jpde3eiL9X41CqMZD6uJy91xLYIMoUsE6fI9BQ30tR2CB4x9DN2zEQNHZMuG8b/qu8AMOABeQoAAAAA/Zo+lxoAAAC9DcjTHgHyFBjAMIkNlxoaG7EMPXzsJNagbF2z169rUUp9fQNeyLzmyIlBqjpqWhIrZ1/sBxsbm6ycfHE5NI5QbOnqFxITODJu6PBwnqElXpz0a3n6XI1vrCmw8g6MRGEew0aoa5uQC5WiE3VtYzt3/4ARseiuT1CUwNyZQRhGQzNnsYWryMKVo2/BM7BEJzdu3Wkhyjx7/pLAzMnQzIksBGVx8AgIGBGHyrFxHcZol5vtVZg4eLRV4R0QiTIyOswkRehK7FF3UKX6xg7oUkPbRGTuIjRzFpq7oBLQ+Lj5hEpLCIzk6JnjLgjMnN28Q7BoRm0bn1mA2qlrZIcLVGEL2XpmTp5BqGHSvvuG4SFigEIF/jMAeQoAAAAA/Zre8BS/K9AVaeoIvIGMgooavuwmCw7o1a2cvgfU4G829VeW0/OB7XSc8Xqsg5UY+PI3eRo1hqGhaW5t7+LuZWJug2L69on0BCaLjzsikpj/4lfrR18AMr7TdpLPvate9NL79ovp+evdDSBPewTIU2AAg5XiydN/NTdL5enz5y/xx+Y2rn4NDVKjevnqjdbW1ubm5nsPHskz9dCtyLhxnz9/bmpuvn3nnhLLEKWoa5usWFP+mXK8ffc+JDJRRp4+fvzUJyiKOpv1yrUbYks33AxX75B79x9+/vowtfOkc8VPnj7HlxMnT8ubPudzh+Pd+/c0jlSbWjr5oDKpt06d+VvP2IFB7HPlMWwEWRQ+GhobhRYuMmOCIs+ev4wDrt+8jVI8h4eTWUZEj715+w55+fjpM2NbDzRoT54+69iwE6fOKBN7cI1KSHv+4iX1VlNTU0p67j+yyRUA/PsBeQoAAAAA/ZrekCCp4ye2EsfM2XPQ5aPHj/EljcnuNN7eyR0HTM4t6Ft9s2zFKtwSrpb+D2Vka+omJKX0vJx/dmBlMDG3wfEnTv6BLss3bsaXfgEhOMBQbLr/4CH0z5nW9gP9c2xx6VKGOq9vn8uPMjIi+syff7VSjtra2kWLS5ks/q9pwKo1ZbheDa7298TXHD6K43fu2tPNcx+bMr7T7L30vv1ievh6dw/I0x4B8hQYwOBJkUnjsvDM0/cfPuoZ2auwBXhLKJSSlT8LzzxF/+9o5jBUUV1/YWmbDN2yY6+Cmr48U/fU6b+J/aOka33in+huXX19UHi8CkdIytO6uvq6urq2uZmEQm1sbDp/6YqCur7Y0u3Dh484L3kXHWb2Q1V5osdPnuLGjM8syJ1W1NFRvnn7js4VOXsFf/z0CbWTLAE3+8atO4oaBrZufp8+1clUUd/QILZ0lRkTVNQpqU2WRl68fA2lePiOQOF4iF6/rqWWgMo/VHVkEEO3U3l67MRpeTW94qWrG4m5vagT1LzocvP2PSgA5Ckw4AF5CgAAAAD9mn+DBOnv8nTCxKy3b99W1xzpYTn/+MDK0L081dYTvnr1urWz48KFS/1lVuMgRdWVq9d22gt03Lx1m8XT+QXN+CF5qi80Rv+ExPHoH6E8LYOunjvI058G5GmPAHkKDGxUeWI9if2Hjx+J/eWbvfwj6FzR+YtX0Hldfb3Eyu3CpatS8dfSMmXW/EEMnUPVR7FYHDcpH0UWzi/FVvHd+w+u3iG6RvZZ+bPQ/5o3N7fcvnOPzhMtKl1FysTbd++PiB4bFJ5w9MRpUiMGRyQsLFmJxSIqxMrJR9/YwcLRe9bcxUaWbqiKx0+e4SrGZxRYOvmMHZ/98NETnPfm7bsJKRlxyZPoPPH1G7dww7bv2i80d5FYuaNeYGWZP2Nu0fwluJBHj5+a2XmiKqycfFEVhqZOMvtWUeXpJSxPKcvCPn7yNCp+XGhU0o2bd3DhtbVv2HrmoxLSsvJmkj1dump90riswJFxeNYqdq9/nb0QGpkUFB5/qOoILvBTXZ2LVzC9w55UADDAAHkKAAAAAP2a3pAgsQljsPXIyZuKLm/cvNVKfPHW1Tfg/x556untl5GVg1BW1fj+XPX19ajxVHn6c+X84wMrg55AgrNXVtWgy+UrV+NLj6HD0OXC4hJ8WThnvkhiztXS9/ELvH//Qffa7t9GXsE03OC3795NmTbTxd0LvV3oQbx+XYvT163f+Aua8UPydFbhHKrhzc2fJhPwTXnaS+/bL6aHr3f3gDztESBPgQGPorr+7Tv3iQ/3W6bOWiA0d8ZzSP8+d1FBXX/i5On41vmLV1Dww0dPsFi0cxvO1Td/+/Yd9oDJE3LQXQ1tE1We+NnzF01NzR8+fNQW2WB5SqyR2ug4JFBNy1hdyxhVgctEx5r1W5auXE/ONh2dlI5yMfkSJZahKlekwhZQ5Sm6ZGiKr167icXlmb/OYfNo5eRT39CAGlb75i3P0FJd20RNSxIRm4oz3r57f9GSVbiCuvr6UQlpfKE1roLGkRWX3cvT5HRpN1GWhNQMnIgiLRy9UWkSa3dSnsYkpaMUBTX9pavW4cF88fIVR8+c2PBKomlo2di+zuy+g9V0LphTYIAD8hQAAAAA+jW9IUEsbRyxBAkMGYkut+/Yhc6v37hJjREamY2MiB4eGKrCYHUlT/UEkqDQ8Iio0ebW9h1rGazEcHIdEh4ZEzoyysbepdOWaOsJg8MiIkfFOrt5UhWMIk1dbGyBQLVr6QpRFagNKJ3D18PpeHFJeWUmvqQzOegS1YKKwpHUchoapJtJnPrjDDrHExtlyiFRVeN6evtFxcSjn+icemuQoirOgj8tl5haoVbh8fnOgUWNxCXIlEzl7du3KMuixaVyFCWHpyseOXoMnaN/y1DbjMYWx2wo3yQz+C7uXqgjfgEhOgZi6i00nqgNOHGoz/CQEZGkQFRQUXP18Eb9Qo8eZcdLr2K+OdQyLxh67qhkHX0RNV1T2xA/C9RNVBT1lqmlHfqHG7r16tVrXG9X7wBGnaPl5es/anQCen8srB1kakG50MspR6wPiwLQWyojSanylMZk+weFRUbHiSTmHfuCRvvxkyd4VuybN2/Qyf37D2RWof2mPO30fUNtG+I1DD0jVLtAbNbVK0HFytYJjSrK4uMXiLJ3E4nukjWiVxeNFXoi31lLV3zP/278NCBPewTIU2DAo8IW7D9Ugx3f8ZNnIuNSsRZcWLpSQV1f18i+rq6+ubnlw8ePjkMCsbV89OQpS9fM0NSpvr6hmfCe7969f/P2HaL27Vv8lT36/yQLB68FxGf7KOXGrbukplTTMkYlYHtYffiEg4c/+ck/+vnp06cDFTXaIhsGsWpqB3lqJCNPVTjCmMQJ7d/CN+NmIN6//4BVJmpJwIhYLDpxzIcPH3fuOSitQlN2ydHu5ambT6gaX8LkG/kERbUnfrZ19VPTkpGnE1AfBzF0ao6eJJY0aEEjPIihS9Zy6cp13ODHT56q8Y37/B0AgF4F5CkAAAAA9Gv+ETEhg7wyE/29Xl9fbyAyQZeTcwvQ+aYt2/BdRZr6xk1byHl2L168zM2fJiNPUQlryqSTMMiw02f+1NYTklXExCU+ffaMOl/vzp27VIWqwmBt3LyVGvDw0eNhw4PxXWs7Z5w4KXPy23fv8Lmdo5vM58/kd+5jU8ZXVFaTRZ364wwOIMshj3kLiuW6+Iw6r2AaGhYyEp2jFPKulq4Qp+fkTd26fSd1fJzdhn7PwJKiMyqmy8daWVWDssQmjEHnji4e6Pzxkyf41o6du3H2VWvKsBmUI5Qui6cjM5/RLyAE+z58oMeEhpr8rn//gUP4eZEC8eChSpTuHxSG+kIdq9raWt/hQTjXN4caw9cRoBRqIWXrykkJmzYhAycWzV3Qse9uQ3xEEnPSS3b1DqBbU6fPqquro9Zy+cpVfaExzkhKvZER0e8/fMABnz7VJad+MZtk30eNTiAXQ0D/QlyydIVMq4YHhpLPnZwL7OMXSI350c/2UR/nL1z88eMnahdqDh/tZskCQ7Ep6iM1vrGxkfp+ykA2aajP8Nu375AdXLl67U9PFO3+9e4hIE97BMhTYGCjyhMzNY1S03OxHHz+4uWWHXuxAQyKSEABv9G1pPNSm5vR/zJK528SCnLl2o3KLIGJzRC8rxT5DT71aGpqsnMbvrBdnl65dhPvL49Q40sePX6CwyprjqmwBYnjsp49f4GVKCEbW54+ez7EbySdI/qmPKWxBZMLCrtqBo5k6ZqmTsx99bq2LYXoBSrZzn044+st77uXp+5t8lTiE9i9PE3H8vTkH381ESoZjergdnmKqvvz7/N4pQLUaxTZ568BAPQqIE8BAAAAoF/zj4iJH6J0yXLSnVVUVj979pz0NaQ8Jd3T1WvXaw4fxXMGL168hLfhlphaYa969tz5hcUla8s2YE/08uUrcp4mVnjoePT48YmTp/CExLq6OlMLW6o4+/SpzZHdvXuvo4QijR6esHnhwiWytX+c/vM3eZqVrRNuGzZH6Bxru47ylPwoHsXcuXOX3JRpcelSHEDK0/cfPqBWVVbVXLt+A6fcun37ewb2e+RpN5AWDx/Xb9xcumwlSqTOD5Uj1ljAXUb/hDx95k80bjh+46Yt1JGnmruYuETUO3JOKAo49ccZvMrnk6dPca5vDrUcMd0VvQ94qNEzPXf+Ag4gjSQpnV09vL/Z367egbDwUfjy3r37e/cdIJ8CafGwPP3w4SN6iK9f156/cJF8B0gXTL7A6EW9cvXagUMV5ICQBh+ze88+3CMdfZGjiweO2bV7LzXmR+XpmOQ0fLlv/8H5Cxfv2bsfX2KL3SnYnKKOVNccQe8eOSYyE3g7Ngk9r/r6+r/PnkMDglM6Ndd9DsjTHgHyFPhPQGzpWl/fQEwXbXz67DkWhQIzZzUtiYKaXkX1USwK7957gF1k4Mg4OlesKyEmpRLBBTPnBUckhEQmSolKwiccfXNSnj589ERNy5hJmEddIztyZ6cVa8qJ2aMCroFF6qS8miMnUEuktz5/PlBR8ztdu3t5qsoT07iiyLjUFqK02jdvw6KSQtsbEBIl/RkckYhy0ThCVMX4zIIjx/8ga993sJpUupjvlKfe3crT0YQ8lWfq7j1QhXfTOv3nWTzzFOVV1zZ5+eo1LvCPP8/CgqfAgAfkKQAAAAD0a36xwlDnaGFv+OjxYw5fD6Uw1HmXLl3G2gXLU6GRGTZrW7fvxNbMzz8EB4wIH4UuE5JSuJ0nbAAAIABJREFU8CX5PbVfQMiG8k0ZWTm4TFJC7d6zD8+DI1MWLCqRo4gz9Mf88MBQtqYunrXalTxF7UFhcsSH5wcPVcpYsI5rnsqUY25tj3t04+YtPKmTryO4dPkKjkGNkaPI07q6OlSvHOEKr9+4iRPxx+zdg3IVzpmP6HSVg+8hOXU8qcDI4/nzF6NGJ5AxlVU1eNwcnKUfuaMHhAfk48dPuLOktj5UUcXTMrB3cqcx2U6uQ/bs3X/37j3y0/UVq9bgMLw/0vcMNfncU8dPxIXMnb8INwYXcuLkHziA+v04CsbDQoKFYFfvQFzC2JrDR8/8+ZcSXQN3EPtT9OxwgVieouPoseNY1rsN8cE2/8+//sYxpDxdU7Yep0THJuKUwqJ5ZNvQiOFfhyNHj+EUvNAnStTUNqR2Aef9TnmKtwJ79uw57gJict6UpctXjUlOk1kQAIP6vnHTlitXr+EpyYjIUbG4wIio0Z3WSDbp6bNnhmJT/Eo/ePgIpTQ0NHT/yX+fAPK0R4A8Bf4TUFDXO3fhEnUz+jv3HuBbTL4ku2A2dV7n+/cfdES2WAK+rpXuPt/c0nL5ynUlDQNiTU9jJZahMstQU2BF4wixPMWiMCU99ze69v9T5OZMKSQTg8LjvQOiUKQyW4Dy/rcid+bcxdiNnjr99/8o85487Vyeoha9eftWUcPgd7q2kZX7p7o6HBY+OlleTY9Y9tR4MENXQ8cEtcrJMxA1D2VH6f+jxJtXvLypSdrZv89dVNIwpA7FT8tTY2sPUp4WzJj3G11LToWfM7UIh6GfASPiUPflaHyfwKjW9v/snEbsu9XnLwAA9CogTwEAAACgX/OLFUZwWAR2LjNmFZGJ5EYxWJ5OzMjGl25DfMiYh4+kW2/j3X58hwfhgE+f6vbs3T9hYpaZ1Ve6cObsth14HF08yER7J3c1thY+J8UZ3jqpKwlFGr2Kymoyxs7RDScuXbYSp3xTnhbNXYAv8WKOGE9vP5yIVyAl5emBQxVkzOq163Ai+c14b4OakT9l+rnzFz637/9OlWhKdI3GxkaZcdPRFxmZWJKrbZLylDr4VHhaBug1OHHyFFV0fs9Q7913AItF8sNwA5EJDsDW7/iJk/iSukrp32fPtX59+AWEdPMOUBEamSUkpeB3j1zfgJSnWB9jSM/L1tSVo8hTWwdXHKCpbYhT0C0yF3rhqe1HkEtYUD+Z/1F5Sr5vz5+/KFtXPjo+ibrkRfeoqnGHeA1bW7YBl5A4JrXTMLJJk/OmkInZOfk4Ef9Hjn8VIE97BMhT4D8BRXX9kmVrSffX3NxSNL9UhS2QftTPl1g6+ZBeFR2kV6XzxKPi00ixeOfu/d37KjZv2336r3PPnr8YHhqDSsDyFB91dfWXr16/cesOnvjZ1Nx87sJlJQ2DtRu2vHjxqvrIiZJlazZv3/PqdS05KRU1jDrzVJlo0tad+8j23Lx998KlqzSO8PipMzgR/V/13+cubtq2e8fuA5cuX7t89YYcjV+6vOzZ85cV1UdLlq/dtnPfG2KfK9TNxcvW/NCap13JUxTG1jN78fIV9qToT7TzF6+g0dAUWL16VYv729DYeOXazStXb6C7OC9quTLLEDUAJp8CAxuQpwAAAADQr/nFCiMlLR3rlchRsWSis5tnm4gh5Cn5XT/60/rDh48YPLPv9Jk/5YjJgIcqqmSM2J07d8lZcnjmHTr4OoJOm0GKMywuu5JQpNGjfonMUOfhxH37D+KUb8rTnbv24EvqdEJVNS5OxB9Tk/J05eq1ZMz8hYtxIp7c9ytR52ihZ0TqSLx0AGpGx0bKQMpTmemHRiaWy1euvn//gcyDExp9JU+7GWpyUU7yrSDnyRbOmY8CNm3Zhi+DwyLIQrbv2HX9xk1EbW0tvisjT2XeAYSPX+COnbtfv66ltpNcYYCUp+S8TjnKsgxWtk5yFHmKp8TKETss4ZSydeVkrpu3buNENDLzFhQjyFeXum3Uj8pT9Jp1HOcTJ0/hOc5dPe7pMwsvXLjUQlloGB1JY8d1Gk82iVypABEQPAInTsqc/Itf128C8rRHgDwF/hNQ5YnDR6eQirChsdHJM4icEYlObty6g7eBwk4Tyz70U0nDYEHJiob2vePJ2akoeFhwtApbWLxkNdaU7969v3f/IV4AFMc8fPTEzSeMwROXlW/FspK8RXznfk5XYk/jCB8/eYb3XJqQNUWZJZWnJraeePVSqYFtaq598xa1UNfI7vSfZ8lG4pY0NTXdvnNPToW/dOU6snDcHhR55PgfXH0LGXeJijrz1zlczuWr11HKEEKe4oLdfcPUtIg1T4kNo/An+XZuwxmaYtS2vGlzsCeVOtympsPHTiqpG1g5+UhHr+XLgVdcPX/xiqWTD/PrFVcBYEAC8hQAAAAA+jW/WGGQX17HxCWSiR5Dh+FELE+XLluJL6trjuzes49KSekynGWQompswpiaw0fxSprkgad2rlu/kSrmOkKKs2kzZncjoUijN2feQjJGg6uNE/cfOIRTvilPSSNG3ZiexdPBiXv27pejyNPSJcvJmHkLinFib8tTA5HJ+g0bKyqrM7Nzqem/ydPIpQOUVTX0BBJ8vnHz1q6KIuUpNdHRxQMvo1lbW4ueTlzC2CVLV+AwmZmn3Qw1XvAUjbbMW4EYk5wmRyw7gOO3bd/ZsWGLFpfiuzLyVOYdSJ/UNvH5zp27KEtwWATeoqrjzFPqPlqk8ceCkpSnqAs4oKM8dfXwbu32IL3kj8pTBJPFzyuYdv7CReoM4vcfPqDXrGN2FHzv3v1WYh3bffsPohEgV0395sxT6hKu5Kq7GVk5vfq6/gQgT3sEyFNgwIP3jNI3cdi6Y++GzTvWb9q+dsMWdW0T8q6ShkF69lSUju5u3LrLzm04Fo4YRQ19J8/AfQer7z949PjJswcPH1cdPh6fkiFdjZQjjEkcv3HrbpR3ycoyfWPHAxU1KOj+w0eoHL7Ais4VoTBU4Katu27fuY+yo7vHT50ZO36yClvA5EtoXOGKNeW46mEhUhuLK3UZGnzijz8fP3328PETVDVKV9OSoJ8p6Tl/n7v4+MlTVNSt2/dQRhevYBTv4BGwZcfeu/ceoPSHj54cO3E6buxEXAXVXaJz1KRpsxds2LyzfMvOovmlKNHMbui2nftQAzZv32Nq68nkSyMtnXy27dy/ftMOlC6ycFXlSRNR3uz8WTdu3UG1oLpypxbhdQZQw7LyZ509f4no4NMzf58fNykP3wJzCvwnAPIUAAAAAPo1v1hhkN+q47VHMZPzpuBELE/Hp2d29DIiiTn5Ybgc8em3s5snOlGkqbu4exWXLMFZ8Hf9ZIGR0XFklorK6r37DuA5caQ4k9lPvCt5Sv2UnuzC0uWrcAremb0beTpl2kx8SV08NGREJFXe9a08ZfF08JTDh48eq6pxyXR5ZSZeyBLdVVBRG6Soijc+unnryx5WgSEjT5/5c9WaMomplVy7PG1ubqaWj+feooEi7V7hnPnUrn3PUO/avReXTK4Ai5pKtYFsTV2saFFr7Z3cqQ0YrMQg5//KyFOZdwBPUP3zr7/x7mQI1LtWYpVefEnKU/KTfDnKcqu4g98jTzeUb8IpaDAvX7lKcvv2HZy+e88+HPmj8hT9phiITPBaFmpsLf+gMHKmNrk+AJW0CRn4LorEKT5+gTglISml0xrJJmVNziMTyeUyRkZE9+rr+hOAPO0RIE+B/wSoMpRKN3e7ukXvoqhfBJegm7tddKT7cfghfmgE+vzRA8AvAOQpAAAAAPRrfrHCkFdmYjn1/sMHZ7ehcsS6luT31Fie6guN8XS5v/4+y2Tx5dq3r6mvr8fqk7ROfv4huFiUBafgzeuNTCxJLYWX40weNwGn4G+0f1SekrsYqTBYpCbDKYh379+3EtvTM9R5+MN8mXIMRCa4R0+fPXP18EbtcXTxwFISdQpvIdVzeerg7I6nYX7PXvMd2X+wbcbon3/97R8Uhvru5euPt4dCx+EjR3HY5q3b2x5W3hRlVQ3U7IsXL7USkxZZPB25LuRpdc2RVmIrIbyjF19HQCpCvIXU9wz16PgkfLli1Rr8SfvylavR5dt378j1VckFc9ELNm3GbDQUaFhS0tLJD+Rbu5Wn6NHgucznzl/AVbi4e+FlXtGzwzGkPEVjgjVuUGg4fr5nz53HMd+Up+gSe95nz56TlhajSFN/8+YNHkP8Ov2oPMWv1uvXteRSp3EJY3EAdUEDEjQC+C7qCP4l3bN3P07BU3o7Qjbp8ZMneH43+vn8+YtWYlFavLiws5snfiHxf+dAXcaXZC/QCU75ng2m0JCiSOqqDj8EyNMeAfIU+A+ho0bs5lY3wV9ivlVm91X8s+nd3+p+HDotpKu+dFXjd9YOAAMSkKcAAAAA0K/5ORPRE5LGjiM1FtaO2PW0tstTREnpMpxSX19/9+49fP7s2XO8gqS5tT05wfDEyT9OnDyF1778+PGTsZk1LoH89h+H4ZOnz55hnfSj8rS5ubmVmHuIv9BHx8lTp8klKc+dv0DWtX7Dxo7lIHLypnZsDzpS0tJxQM/lKfnRdFTMzzxWoZGZzCqf5PH+wwdLG0cchlqCn5pMR2bOnoMDOpWn5Fxg9Aj2Hzz05s0bMq+7p+93DvVgJcbZc+dxIirhydOn+PzY8RNkRShywaKSTnuBj42btmDj2dU7UFFZjdOvXL1WXXOkkVjFrpUwvwoqanIUeYqaWldX9/jJE7JwH79A0vThlK7kKbn478Liko7Pgnx786dMl/txeUp+dI8eXGVVzfkLF/GoXr9xE3dBBkcXDyx/UXcOHKpAv3Hk05FZ04CEbBJeE+/Bg4fk+gCFRfNwTHhkDE5BJ+gStQ1fotZ22uzuQa9Ea/uqxz8ByNMeAfIUAAAAAHoCyFMAAAAA6Nf8nInoISlp6eRs01N/nDGzssfnpDz9TZ42bcbst+/ekVqquuYIdQFTK1unffsPYiVElkP9jPp3BfqMWUXvP3wgA6qqD5Nq9Ufl6cLiko2btmA9hH7u3LUHz63DhI6Mwl/ut7avztmpFYqKib91+8v8x+s3boaMiCTv9rk8lSNmyO7YuRtPtCTVWEVltamlHTXMwtrhzJ9/kTGvX9dm5+STdzuVp4OVGKvXriP92omTp5zdhmJDh+3hdw61Okdr05ZtTU1NOLihoWHVmjIaky3TEb+AEPS4qct9vnr1GhVr5+hGxnT1DmjrCVHzyO6vLdtATtsMCB4hR5Gn/kFhpDl98vQp9Vv1b8pTUriTVpqKjb0LvvvgwUP0u/ATa56ixvx99hzZfTRQm7duJ3ev6giqgvxluXfvvu/woCtXr6Hz8xcudhWPg5NTx//519/4/OPHT7OL5pL/UaE35OmJk3/83LsN8rRHgDwFgH8/3c9jBQCgbwF5CgAAAAD9mp8zET1Hia5hZmWPv1jvisFKDGMzaytbJ9JAyUBnckzMbSxtHPEH4x2RV2aaWthaWDt8z3fBHSGNHp5WyeHrWds5szV1O0Yq0tTNre272p+Kio6B2MbeRUdf1Fcj/00UVNRQx+2d3NHQUfdEkkFT2xB1RF9oLPPVeTeosbXQ0yS/Jf+5ocbPHT101LyO2pQKescEYjPUSF1DI9LofSdaukLUAKq3JSHlKer47wp09Bqjt/T7B+FXgn4vvmegyOEytbQzMrH8npJJeerp7SdHzEdGv2XfU0tP2Lf/4NbOtgL7HkCe9giQp8DARlW6W5SEhNHZB+bd3O2mqO6L7Y1ecHWsETxdG4am5Eerw/FqfAmTQvvllwAAAH4CkKcAAAAA0K/pc7/zb0bG6AEw1HJfy9M+b0xfISNPfwFBoeGNjY0/vRUVyNMeAfIUGMAQEzZFPF1bHX0nDFvbUmYKJ50n0tJ3xHdZ2hbosqui6F8XhdHWd+QQZaKKetE/8sRisXdFTkNFTv3xKZ9NJf7Y2P7QUKCfhqZOhmZOAjNnEpSiaWilyjOicYQ/usUTTIYFAAzIUwAAAADo1/S5hfk304+MXn+nHw01yFO5Xy5PBysxbt++UzB1xk+XAPK0R4A8BQY2TE3jPZm1Z6a3npnRenpa6+xRB1Q4htSAQRr8QzmP/5jWimKihs5Q/vouFUWWbknCUWnkjC+cnt56JL9ladI5gXAInSvsLYcolac+lbmNlTmNJ6b+pDzVEtngReU7Htdu3I6KG6egps/kf++cVulkWL6EzhXJ0bSUWYY/Kl4BYCAB8hQAAAAA+jV9bmH+zQjEZrdv30GkT8ru88YMbPrRUJeULsNN/V2B3ueN6SuiYuLxIDi6ePyaGuWVmT3JDvK0R4A8BQY2ZsaBx6d8rshpIMxjQ0VOnY6BM4MyU3KwhtbW9AeHcuorcxpHeEztTp6ydYuiqw5NrqvKbazKbTqc34xAuVDJ1bmNhya/HWqfyuilOZiEPEWVtsvTgJ+Qp3yh1bv375uapHsBNhMHOm9samohDnR5+ep1c/uh3+NPsSp1HBJYuqLs7PlLZy9c7vMHDQB9CMhTAAAAAOjX9LmFAQAA6G1AnvYIkKfAQEWVJ1bmGIzxK63Kba7Obd6f9QH9PFrQEuiSTZWDgzW0tk18UJHTUJXbNPJb8nROTBX2sOvG3YrzWTB2+JKFccdRsSgvSi9LvTZYQ5vBa6u9Y3u6azCvk8VYqXdl5Kka37hjZDcltMvTDy0tLZ8/f7546WrNkROHj526cu1GfUPDZ+JAt67duCUjT5kIvDRqezn4Lp0r2n+oGuVqamq+fuM2jqFWyuQbdUwEgAEJyFMAAAAA6Nf0udQAAADobUCe9giQp8DAZtOE+5W5DTV5LTMiDx7O/1yZ0zBv9GEFli4Z8HPytDC6WoGlo8oTy7O0i6KrUbGIvVmvVDjtH7DzxHSuiKkpUeObIOhcIaPdPGKTSCO+8VfnmyAYPKmLJG+RYSiXGhFA54mMvpKn/ige1YXA5ZDQOAJpIkeACyQbT8pT6bzTls9B4fH/q8L/na79G13Lc3j469o3WKo2NzcvX72hLS8qjS1ttoaOKYIpbbOI0dYwkaKGwc49B4gsLddv3FZB9bIFZDPQuZqWMZHRhGwJKFRgoALyFAAAAAD6NX0uNQAAAHobkKc9AuQpMFBhakrcbROP5DdX5jaUp92zNQs/MeVzZU7j/qz3fD17PD+U0TN5igpR4RgmDivGawLsyXypzDZAiTSuUCL2XZJ49kD2q4qctweza9ekXHGyjKG3bSolCXMvWJZ0bnfmU3QXsTfrxbzRxzjaVnRSPnIMw4dM3znpEbp7aPKbDWk33GwS8ZqnJ6d+tjINK0u9vjX9wbb0B4XRB6UtIVqIyl+b8jdK3zrxAeo7jSsgG/+VPP38OWJ0Co3zxedaOHo3NDTg7/ffvH3H0TNn65pNnbXg8tUbz56/ePP2LUp8/uLl4WOnWLqmdK5oRPSYO/cefPj4EU9ZbWhovHvvwc3bd83sh4osXcu37EJ3X72uRbnevHn78NGTeYuWKarr9/krAQC9BMhTAAAAAOjX9LnUAAAA6G1AnvYIkKfAgAR/sz8z6lB1XnNlbmOib7Ea33hXxuuq3MbD+c2xPvMZ7dM8f1aeVv6urqnCFWhoma1JuYpXPl0x5rw8S4fOFQ21T0Globqq8xpRfE1eI/Fd/zsX61hUKVvb4tiU5sN5zSi9krgrXTU1r2nLhLt8PTumpgS1fELgKkL7Sm3p4fzGw3lNuzNfVxKNPDH1s5HYd4xfaYV0Cdf6XRkv8BZYqGRDwZCKnLqKyfX7sl6ztMxJQczoIE/DR6eoELNKSQ4fO4nlaUNDg5GVu5GVG/6Qv0m6OGqLdKVUYsrqvQcP+QLrmKQJ+O7n9gPdRhmtnH0TUzPxZduyqm35Pq/fuB02lQIGKiBPAQAAAKBf0xue4ncFuiJNHYG3I1dQUcOX1Bh9obGrh7eFtYMSXaPPxcpgJQZqHmpnb1eExwFvfYMrRfwmT/vO7Gg8cZaO4wkAQDeAPO0RIE+BgYoSW39XxtOKnIYj+U2mkuE0riA9qAzv9bR+3G06V4TDOsrTTgUfSiTlKYpclXzF3zkz2C13VfLlmryWSmmx712s49T4JjoGzvuz3xHOtGVi8HqRyCvWe35lTj2KOTj5I1fHmq1jWZnzJm/kLlebBInRMFfr+G0Tn1VKrW5LmPsUGldoJPbFiha1dtP4B6kBK6dF7q/IqSc/2zeTBKJij+RL1SpKdLQchbqDOhjtVUQY2+YFsSfIDpLt70qe4s/wswtmYXna1NTkPDRYZOH6uvbN5m17wkaNcR4aFBk/7tXrWmxL41MmufuOOFR15NGjJ1ihvn33bu+Byr0HqkSWrgkpGbfu3Js9t8Q7MBKVs7B0VSNhXj98+Khn7NDnbwUA9AYgTwEAAACgX9MbniJ1/MRW4pg5ew66fPT4Mb6kMdno8jd52o6du1vbj6PHjve5WDlUUYVaUl9f36u1mJjb4C6fOPkHuizfuBlf+gWEfGcJq9aUtVIOsbFFnw8dAPQLQJ72CJCnwICEzhV62iVX50lt48HJH1jaFkxNY1NJQBUxl7Mi55OugUtXM0+lK4dyBTSukIqMPJV6zNxGDCpz56SX1qZh+Kv8FP8Vh/NbUNiC2GOKbD1U1O/qvNKE0xU59cenfLaziGRoSjjalqiFCiwdVDuKifdZiLKgovJH7lBk6RZF19TkSas4nP+Zryudi4qKjfdddDiflKfSDaPWplyvzm2qzmssijmsyhOhYtePu42n1rpYx8kMSPczT+lcUVpGfps8bW529Q5V0zLWFFipsAW/q2ojBjN1l6/egKeUrly7UUFdn8YR7Nx7SJrS0nLj5m1G+4IDXAMLlFdJw1COpoXC5NX07tx7gGeh+gZF0b5WugAwMAB5CgAAAAD9mt7wFN3L08CQkfjy3fv3V69dL5wzv8/FCshTABjYgDztESBPgQGKZG3Kjercppq8psLoKgOBu0A4BLE38yUxW7Mx3ncRjdjESUaeqnAEqjyjLRPu7Mms3ZslBZ0Ux5+UZ2krsfWo8rRa+t19Mzo5OPlTqFs+XaovjRRYOovjz1QSAUsSz04MXp8RUp4etG5j2v3K3Maj+Z/9nCahenX0neJ8Fs6JqVk59ty2iU8PTP5IfNffUBhdoczW3znpFVF+0/SIA23LpPKMDAzdpdNR2zaMCkApHrZj8ETamrwGnq6NWOxzrOAziilPu0107av5s9+YecoTlSxf0/bZfmOjsY2HKldkbj90QcmKqppj5y9cfvb8RX19A5anO/YckMpTrpCUp9dv3mby2yqic0UhUYnlW3YeO3H6xq07r1/Xoiz40/7I2FQVtuCfeLgA8O8C5CkAAAAA9Gt6w1PEJozBdi8nbyq6vHHzFjpHfxgPVmKgy/wp0/Fdj6HD+lypYH6NPNUTSHDHK6tq0OXylat/dBywPP348RNXSx/xuwK9z4cOAPoFIE97BMhTYEBiKBxycmor/qq9Jq/lWAHBlBbsPatyG3dMfK6uZcroKE+5AgbPaHfGM2KB0UZipmrDsqTzVHlamdu4IO4EX88+I2RjFTH59OTUFl/H8XSeCJW2JuVyZa60NKxuMdV5jdW5jUfym8Pcpxgb+VXnNkunmuY07M96s33iw52TnpPylMYVVuR8IlZBlRpeOhdv62Skre94IPsTKU+ZmhIFlu6m8XdRrhNTWy1NQ4Pd8o7kt6BK0wJXK3MMZAakK3mKp99q6Jg8fPQEy9MPHz/yDC0Dw+Ox8Wxqbq598/bBw8cvX73+pjxVZgnmL16Bv+5vaGhAWW7evov+AmuTp3HjZBZaBYCBAchTAAAAAOjX9IansLRxxFowMGQkuty+Yxc6v37jJjoXG1usWLUG3/UdHoQu8QKgGC1doZ9/SETUaCfXITJmkKHOQ8EIFQaLTNQXGqMUPYEEX6qqcXEMXr3U2W1oVEy8q4d3x0VFUYD3sIDI6DhTC1u5LuTpYCUGyotKQE1CtVNvoXaiWnQMxOh8qM/wkBGRGlxtMhdqfHhkTOjIKBt7F5l63759iypatLhUjjI/l6ulL0csFIsbjy87BcvTDx8+9rmKAoD+BcjTHgHyFBh4qHAMozxnVxPTQvEUUSrkyqEWJsFMvnGHmaeGqjwjI7GvsZGfsaQNgdCTzhMpUuRpUXS1IltfQUN7TkwN/nIfpesZuCqydZclnSNSmubEHIkaOjvaa047RTFecyVi3yWJfx3KqT+c35Liv0Kepf27umaYe8ERYtJoYXSFCkdwIPsj0ezGzNBNdB5hG9GfSYRypcpT1KS0gNWoHFR7rM+8mVH7UAnHp7SYmwShuzJjIiNPI2JTaRzpVFk1vkReTW9CVgH2my0tLXsOVCppGFy7caupqQmlzJ5XMkhV5/8pcmfNXdytPJXWaGY/FG8Qhf6gcR4a9Luq9v8ZpHH1+k2iTpCnwIAF5CkAAAAA9Gt6w1PIKzPfvX9fX19vIDJBl5NzC9D5pi3bBimqtnY4TMxtUAydydm4aQv6c5pMf/DgYUDwCLLMhKQUnO7jF0gm3r59B6VcvnIVX0bFxOOYkBGRFy5cIos6f+Ei1UgO8Rr2/PkL8u7GzVuPHD0mI0/dhvigBpAxnz7VjU/PJO/uP3AIJZ4+8yf5Hf3BQ5UoPSYu8emzZ9Te3blzl6pQK6tqUC2xCWPQuaOLBzp//OQJvqXB1cZZUJldDSzIUwD4OUCe9giQp8DAQ5UnWptyjfChzSvGXgpxyx/hMRUT5l6wO+MV1p2pASuUOQadrnlK54pkoK55irIXRlcrsHSYmhKx2Lsipw7PUV0Ye2yQulbuiB01eVLLuXLsZWK9VAGdK1ThGOJ4trblnsw3eHsogdBTjW8ir6E9M+oA1q+Fow4psHTXEIuZVkk3mHrP0bFCjVRk682IPIhXCSDlKcJI7FOV24Ayrkq+vC39SWVOw+rkKwxep2PylTyDQupFAAAgAElEQVSNSZzA0jXlGljYuQ8v37KzsbEJi9Gnz57zhdaIjx8/oUiUaGrrqa5tIqfCrz5yoqWlpaM8RYkvX71mahopquuPHpNOuNOWBw8fYznL0beorX3TAvIUGNCAPAUAAACAfs2v9Be/K9DxqlbYEuK9AYzNrAcrMc78+RdORH+K37//AJ+jyNCRUTjvD8nT9x8+PHv2/OChSvQTp6xcvRbH6BoaffjwESf+ffbcyVOnyfaQ8lRoZPbpUx3WlJVVNaRFHRE+CgdgeYqaSkrSmLhEiakVnkhx9tz5hcUla8s24ICXL19RZ8t2BchTAOg9QJ72CJCnwECC+AhdYmkackQ6H7PpaIF0/3oVrkCFY4gZrM6fNepgZY70Y/xN4++rdZh5qswx7KrwjvIUVafCEUR7FWJ5ivB1mGBpGlqVK/3uviavuTj+1DCnie62iQEu2QXhO6M8ZzE1jbalP0W1o7uzRlW42sSPD1yNZ8hieSqvoR3omlNNzF2tym1enXw5ya9kRuT+tjmzuV9mnjKkc2wN5sTU4Cbh6a4BLlmov/hjfJmRwfIUe8yPnz69e/ce/UXVQjnevns3KiENRXL0zWvfvMXTRXfuORgWPaasfBuemtomT9X0UVjJsrW4NHSgxJLla9MnT8NFoT9o8qbNiRs78fLVG5/bD5CnwEAF5CkAAAAA9Gt+vcUonDMfW0Jyv6Px6Zk4ZfeefcqqGijFyXUI+oMdm0dFmrrcD8rTa9dv0JkclKJjIMZu9Oy58zhmYXEJjsnNn4ZT4hLGyshTvJVTU1OTubW9HPGN/4mTp1DK1WvXcQCWp+g4VFHF0zKwd3KnMdlkCy2sHXCYX0DIhvJNGVk5HL7eN4cFdRyNDCI4LKKrGJCnAPBzgDztESBPgYGEKk9M4wrSAlZVEy4SoW/oJhMT6Jp9lFhv9Eh+s6t1gryGztb0B4cm16PgEe5TupWnekUxVQcnf6rIqZ9NyFOcrs433Zv5plJaXf3RglaOtlW876KjBc2VxJzQI/mfjxV8PpzfciinLsZ7rgJLd2Lw2sqceuw60S3UjLLU2zV5zQcn182WzjzVkdfQXjHmL7xgKyFGG1Detak3D2ZLqz4+pcVU4o/lKZ0ncrWJR5VK5WlOY2Xue66ODaPDN/sMUp6+e4/+AGpubm5qP4hz6WRR9PeHm08ojSNEkYOZutt3H2hsbCRNKPr56NETYiXTxh27D8ir6TP5EgePgMbGJvxfzlFRdfX1Fg5ejx4/RRmxLUUZ6+rq3rx9h+6iEiJgwyhggALyFAAAAAD6Nb/eYnSUp3jaKfpDmsXTIcNmzp6Dw/DCqT8kT7Mm55Exd+7cRSkPHj7Cl5cuXcaelDobFM91JeUpXpn06LHjZEB8YjIuGa+vSspTRxcPMsZ3eBBO/PSpbs/e/RMmZplZ2f+zQwfyFAB+DpCnPQLkKTDAUGLrFUZXrEq+jCgYuVO6AVT7LTwfU8/QtSz16urkq2tTrqb4Lx+krrko/sSq5Ctrkq/6OqarcLq0e0ps/YyQ9avGXl6dfGVS8DpFth4uE2FjNhIlElyK911E4wocLEcVx586kP2xJq+lOrd5+8Rn0yP3CoSeKJilbZEVsn5/9gd0a/vE5wEumSHu+WWp11DJE4PKFNm6qFiOjtX4wFX7st6hmL1Z79C5kdgXtRlVUZ52SyzyIQ0pR9vy0ORPxBqpTYvjz3Scc0r2nWdg+fe5ixcvX7t0pQ10/tfZC8tWrQ8YEcfSNVXlinF3ULyukd2WHXsbiWVPnz1/GZ+SMWXm/MtXb1y4dLVk2VpFdX28uEFkbOqjJ0+xKn3+/KXIwtXFO+Ty1es45fRf54xtPKoOH794+Sqqzj8slsaBmafAAATkKQAAAAD0a369xegoT2tra9HlzVu3qWH+QWE4LDsnX+4H5WlkdBwZc/bceZTy6PFjfPny5auOdVXXHCHlKfn5fHNz84cPHzF1dXXU2kl5ytDQJAv5TZ6GN56iHnfu3I2IGv1PDR3IUwD4OUCe9giQp8BAArs/FY6hMoEK11BGJkqVH0+kzDHAATSO9At35fZ4OlfYjXyUlswVtJVMZMTBWCOShdCIr+ZRLSocA46OlZaeA1/PXp1vosTRV+WJcC50jm4R6aY0rhDV297g9mJ5RuiSrW2BsrO1LZXZ+pR2GtCJclDVTE2Jpp5dTV4DlqfuNolkqzptv5KGYQcMFNT1UfsZ7XKZEmygLbLVN3Zg6ZqqsIU0jhBnUWG3NVI6z5cjVNOS6Ekc9Iwd2Lpm5PqwKJeuxB6fK7Pa6sKXff6SAMA/DshTAAAAAOjX/HqL0VGePnr8GF3eu3efGhYWPgqHpU/KlqPIU9/hQWTMg4ePOpWn5EqpiL/PnqPK007rOn7iJClP2Zq6uBAUuXvPPhmcXIfIUeSpTNcGKarGJoypOXy0oaGBqlDx5NmeA/IUAH4OkKc9AuQpMMDoaEt/KKAbu9dVZEdfSbrFrrJ3n7ebeJnyaVxBqHvB4byWipyG9eNuSCfDdrZbVPf96upu9w3opmHfP/gAMDAAeQoAAAAA/ZpfbzE6ylO82X1zczP+KB5TUroMh7l7+spRViYNa9+16XcFOt7W6Yfk6YmTf7QSSwSoc7RwioKK2tt376if7eOZsH/+9TdZiKa2IZPFJy+xPEUNlukaT8vA2c0TnSjS1F3cvYpLluD2rFu/8R8ZOpCnAPBzgDztESBPAaDfocwxGOkxfVrkvvmxx6ty6oitsZpD3PK6mnYKAECvAvIUAAAAAPo1v95idJSnsQljcMrJU6cNRCbyyszo2MTGxkaUcv3GTRxDfsW/c9ceOeIb+WkzZuOUH5Knmdm5OGbTlm3KqhpKdI2Vq9fiFFKelq0rxymjRiegSxUG6/yFi+jy7t17eB+qTuXphvJNOJeffwhO0Rca45TFpUu/OSyoZDy5NSUtvasYkKcA8HOAPO0RIE8BoN+hzDGI9ZlfldtQldtI7EnVNDViL0NTAvIUAPoEkKcAAAAA0K/59Rajozz9XYF+8FAl+ZE73rUVW0JbB1ccQ2Oy8T5O6KitrX3x4mVzc/Pdu/d+VJ4qq2rcun0bhzU0NNTX17cS20lR5am+0BjPRUXH4ydPyPPpMwtxQKfy1NzaHs+ERe0/cfKPEydPofajy48fPxmbWX9zWMi1VletKesqBuQpAPwcIE97BMhTAOh3qHANwzzydmU82Zv5dPOEuyn+yxg8SVcf7AMA0NuAPAUAAACAfs2vtxgd5akc8e38zNlzXr16TSrUw0eOmlraUTP6+AU+f/4C33346HFA8IjNW7f/qDxFaOkKUeGkn83Mzp23oJgqT+UIE3rqjzNkY16+fIXCyLtdfbZvZeu0b/9BlE5mRIWQ/rd7QJ4CQO8B8rRHgDwFgH4HsVOTQJGtp8jSVZLuJdXJ2qkAAPwyQJ4CAAAAQL+mz6UGlUGKqiKJuZWtkwZXu6sAMyt7E3Ob3+RpPaxLS1eIKlJW1egmhqulb2PvIjQyG6zE+P6S6UwOaqGljSOLp/PPjg/IUwD4OUCe9giQpwDQ72j3pBICagoAAH0AyFMAAAAA6Nf0udQAvh8sTz9+/CQ2tkDIKzP7vEkA0C8AedojQJ4CAAAAQE8AeQoAAAAA/Zo+lxrA94PlKXlQ1z0AAKAbQJ72CJCnAAAAANATQJ4CAAAAQL+mz6UG8P2ULln+4cNHEqGRWZ83CQD6BSBPewTIUwAAAADoCSBPAQAAAKBf0+dSAwAAoLcBedojQJ4CAAAAQE8AeQoAAAAA/Zo+lxoAAAC9DcjTHgHyFPhnkW773n7yy2qUOZHSbTPw3vQ/2kIc/wv69c2KOgaQKarfO1w/3P1fgGovN6zTgf03DwjQXwB5CgAAAAD9mj6XGgAAAL0NyNMeAfIU6AZCJ0mYfClqfMn32CUUQ2MbDmLoqP4qG4VqoXOEymyhjExEDaBzRZ14UpzCFdG5Ylnx2rV8lAbwxIrq+r1t2XBraUTLO48hAhTU9Bi8r9qP2qbKo1jUzg0skZepo8QSdlU+kVeCnnt7Id/13DsgJhvzXeBeswWKLAFZL1PTGMFok6pf2t9Zv9pazuy6tUSxIkW2HnVwcCPpPBH9x2U6AJCAPAUAAACAfk2fSw0AAIDeBuRpjwB5CnSFVCpxxbZDIwJGxg0Pi/MLjiTTZU6+8ok8cXjqlIS4MSosQYewTqrotECm9LwtpT3m66qJStvOuSJdm2E+rl40LtWTilW0rfwDgpVZQpROuDlpsaTUs/SJM7d1/rqzQjI7k+gItVUoRUHdYMykgt/oumR6p5NeOz3vMrizXPIagpExCUosQ3J4ySapEufKPNOMGfMUNARkRiV1/bhJBTQNbWp1WAhSZuBKI9mG9jMWLLe0saVz8YDIjL80C1fPw1IyjC4twdxMEqDCFTJ4Hfsi6fp9IMdT9m5XwShSjW8kGRo+JjJYWi9XZGIc6eMw3tsuRUvHkijHqN3nGtFQe9rNPoPyhtA4hnYWMSy+NJHBM+rYWrqmxVifJQqcdj9LFIXaaWKSKNGzoXdoG+hU4DsBeQoAAAAA/Zo+lxp8HYGDs7uRiWWftwQAgIEKyNMeAfIU6AosT81cAiNTZi0sLnb2CkSJalrGKF1d24SJJ/rxpSnt5xINHRM6V1S2oVxFTactjE/c0pJIw/gSpqZYXcsE32K0zwnFedWJktEJqkVdu+2cFJdtt9rFKJmIylHlCg2dQ8K8/VX5xsSUUlSdMaqOpinRE1mJ3cMmxIVh6aahbULWyBHYcfRMGahMPmqbhMYReoQVWNm7MAihqU6JxKC88mr6+XMW/4+KNsqCAuhEXWpaJmp8CZ0YCjxFt93W4YwiItgYz4RlkgOoY4p7Su84mHwjGkekZ2yHGqyuY4LyYpVMNonBN1bRsliwplxezZDRbh5VWAZZRSUq6proLh5JvmnoqNGxNK7RlwZIJ2Ya2fglTZkQRWOLUN72AZG2/Ev5PGH0sD2rYw8osHSVuK6TgzcPZrXNcmVqos62FaXONyUmh0oboIbSCbOJ54pKz7mCGJ/Vlgb2KKMa31RN05gcSTRieJSkw4WeFHGOXhuWjollUGJBahS6VGIbjAs6YWcSHeAya1HMGRbPUDoCfPTOGCmyTcf4rlZg6xMpptjqYuTZZlvSH/tbhRMNk0K2FrUBXdL5VlNCdytwpC4YoaYpTg3YJzKw5+jYs6WRIibfBDdVjd/WI/CnwPcA8hQAAAAA+jV9qDPU2FrVNUdaiWPVmrI+1ysAAAxUQJ72CJCnQFe0qy5jS8+kzKwsdT2rsq27MiZleY/MmLNgxZLSxUye5b6KfXMWr129cvn/qOgvWrZ+/uIltgHhh6qPx8SMGhaXv6hk+fryrfoGkllr9yxfuW54UMzBA1tWbNo3d+GS0uXrigtn0NjSOYDKXMniFRuWrttpZ2kZnzm7eNnajfuOmls4Fy1c/jtdJ3TC/EC/4QxNScrsdU52jv4J00YNH+oXPzUsKGjaku2LVm7OnjhB1yFo9arNi1ZsKp0/W13gikqbu6j4/1MzT08ZmzJ9xc6tm43F1mnTl85dtCo7PVWZ+DDcLWSWu5tjyoxlhXNKdx2odnQdsnb7iaXLlhtZuJTtODRvSfmU3Fz8CbkK13h66aaZ81Y6uw3Jn1v6X/K8has2L12zOWX0KB33iNKV5Ru27JFX4Sxcta1owYrDx09qGZgw2ict8k3dN+88VLxm19j4OLap1+7tO9PS0r2iMlYsW12+pyo1Js52+PiFJatXrFxBUzfatnfvnOLVG8vL/+9g7Rkzpxg7hs0sXLD/8BkPd4+pJVsXLt80afw4hq7tlp375y/dsGPXNnl1Q6lv1bHYsPfo/NI1O3bvUlHnL1+3deWGndFhQRmzN2zdvsvN3XPN1gOrN+4ZExON2qPMEmfPWbt9yyaxkcP8FZuLFq2aP30q22DIjv2HCovmsaV220iBpT8vfMdo77VWBhZKXJdJAesIeSphGwxfNPrCqpQXpoaOjrYFy2KOLRx9c4J3JscwZH7UkYXRJ3X4RkWx16eH7l8Wf1ZJw3JZ8t38oJX64tiZ4VWThhXLswyYfImFR9iGjdsO1Bzh64pnL9s4bc7iHbv36OiJvWLzl64oW7ezMitpJJanY/wr6RxDNU0jM7PkiS7xo33WF0UdK43Y6WCTXZ72aLTrhFG+B4uiTswbsVWZI13igMYVuLqW+9pOnB2+dzBbP8l/y6zwmtLE68Z6lq6OcxdE1ZQnntPQsp0SumfsyIumAmd9cfii8M3rxj3LGj7f3nqSg9DR3iZ3WdxfC8IPulhPXhh9Yn7oJiZP2Oe/hkC/AOQpAAAAAPRr+lBnFM6Z39p+gDwFAKD3AHnaI0CeAt2jpmVsMSQxIytTTddi7vSp8gxdA4uh4THJ6zfv1hXY7di6YjBda8LUZXLKOgtKV3t4DFNU11u+Zi1Tx2H1ujV0rsjSK35afuaCrdXmJtb65oELZ49X4JiUlq78XxX+yk3bdXSFDE0xjSv2DUuYkLdw0riExMlFro4uLJHH6JjoESlTrSQmpavKuFoiBk+s4xARG5uUNWf1oqLpBXNKHYeEHdizZVRC+opV67QtfMdGRA5i6k1avFFsEzB30RIbO7f/5dtnjh8jGBI5LSVcy8pvXfnWmLEZu/ft1dKTluYaMsvNzSF1WgmPpesYljYuNt4vtsTaxn54/ORQTw9Fhk76jMV6moZqfMmQyPGpCQk0rkheTb9gTjHLOqhkUUlc2pTdu3dpCOxCR6XMWbbZmK0zb/FKJlM7NHOxi4MHg5j7SWPpx4ybbWZiOoiuU7hgKc/YbUlR9mB1s/lLVg5iGHhGTpyYNJZv7DYiJnn1hl16huZbNq9RZGgl5SyVV+LOmDV9EF1LyzYkZcwYfdvAPTs3o54uW7bKJzbH2sRKUdNySfkWqTzliez84xP8fX9X1ZlSvEJZjecdmpCWM3/5kkU841Fjx45VZBt5hiQkZBYuX1IszxKr8Y3MfGJzx470GTsjMjhMhSuesnaPk2PYqjUrUGnEDFCBgfG4vIClIUMWF49Yo8R1yQhYL5WnmkZMvrWPfU5y8IEAi8iMkH3y6lqGphnjvPInRlxJ9JmXEXYg2XX8ovjretpCD6d5Dnr6aSH7LXTNHW2L0octF+g74oUXuEK7EaPTlpTX2Ni7ziheLU/TjEqfHTwicve+g+o8ocOI1ILUSIo8NUDjb2QSl+ORbCQOD3Ut2jbhtTLLNDdk3/9IP/KPCnKeXpJ4UZmlK/2iX9N8Q/pHL6vRRTF/c7h6qcF7nCRe+qKREU5j+QY+wc7TyybUGhsOmT5ir4J24CjHMT6uxRIdwdTIC4a6Zo72eaY6VtnBW+lsXaamyNt5QY7/Cn0dK+JXAGaeAt8G5CkAAAAA9Gv6UGccOXqstbX11u3bArGZvDKzz/UKAAADFZCnPQLkKdA9WJ5mZmcxdS2zszN/1xCXbDpgaeu2aMUmPaFdedlseVWt5KzFSgw+T2hXuGSdka5wxdp1ajq2qzdsZOuauIdNyEhLWri1QiK2ElgGzcwfpcgxmjdv8e90naXl23QIj2kflpOTnekZnJo5Pikpe7aFtb2GwD4hMUnH2q+4pDR5dLSSdPlU8SA14dylG8elphYsXl84fYqupd/qktnaIluxmZOBY/DEhHg636xo1VYWX6Jr6r6kbMt/q5pkTxgr8Bw1e1KslpXfrFmFPIGNsY0zgyedqOgWKpWnKVMWM1S1bYPHpMUlDY8vcXFx94nJSBoZSucIJxeWcDnSyZLOoalZE9LUtE2VWYYFcxczzPzTkpK0xPYSK5fcRRtDgkckFxSbsnRmzyulqWr5ji9ytR/CMbCkc0U0tkFE8rQhzq40rqRwbjFX4jZ38hgFDfNFy8poHFFYWuH4xOQFO454DPGZXbxB39C8bO18RYZW7PhiBWXOrMKZqtrWW3fs4uuZCu2Dli2ciXoqkNj5JhZ4OLmyxK7rduyUV5PKUxu/uEmjw2k8owWryrjGnoXT8t38x65YXqJlNmrChPEGtn4rFsyzGhazbFnJYEKeWg5LyE+NdI3OTYyNU9Mxm79hj7VtSOmSOcocCTF/U5IffS3UKX+YfU5xwi01TY/MwA2DWXpMTaG/W2mq5xR358VBllGZoYcYHIGtXeF477yU0NNmoqEGAi++lsXC2AvafANn+9nOBoZpoQcdBS4sLQuhOHxOxEF5dS0aSz85rzg8JCRz7lYbR7cpC5b/L017ZGpB8Mio3Yeq+HomAYl5eckRWJ6ODahS4xnzdJ3SAg9wWDpzI6vNxKHrUl8os80LRlQO1tBdk3jVXBQ0M+aMstR4GgmMokvCNw23nxzttSbDMzM1aKe5yENfOCzIbnRWaIWdJGj+mPsmhp4zRx74L4ZGZsC2iX5lgzR400ZdMjG0d7LPN5PK010cTWOutrU639zYOHp32h2+gaUGseJBn/8aAv9yQJ4CAAAAQL+mD3XGhQuXWltbN2/d3udiBQCAgQ3I0x4B8hToHiZfYuQQHhOXwNQxHx0br6Cm7x+ft6Zsw6zCRToC2+nT0hWZOmGxOdLPtMu2z5g+W0FNL3faTDrLQOwctmbD9in5U5Q1DCYVLTMQmOuaeCcnBSlxjMan5w5m6k2eOZ+vI115k6Fru2Tdjhmz5o+KigyJSzcytVE3sA4MGSmvIVyw7bAe8RW8dIIqSz8pc7aliZl5QOrwYQHKbFFQ8oyyjbsS4+K1rHyy8uet3bjTd6i3iUvs2s27sydl/g/XKmZUJEPXZs32Cjtz+4CE3HXl28bGx9C4QlWuyMZrgo2dTdjYHAZT12RoRGRoJNtkyLqNWwVi8/SZK1GxPj5+dJ50/VNlluGoCYVrynfZ2bsmTsz/XxXN8VNL123cHhEcJPEYta58e870eSKOfurEPBpT1yUqw9TKa/aCkt+Yhgy+kaqW2cylm9Zt3GFj48Qz8RgfH45Ks/IavW3XwalzSlLix7qMmFC2YfPMWcU6huZTpmUpqen4R+Uo0flJycn+CTnLVq5DnfLy8Q8bN2tt+a640XE0nvGiNdtmFi7KnlbYtmGUpiR3UXlJ6fLMgpl0jkFp2c6iuaUZ2TlKXMmClVuGDxu2tHzv9DmLJ2VmK7Cla55K3EYkRAQoquuPzV24et1WL09vdT23zMmTVDhokCUcvSGFIzYSm1OJLC2zbMTBo4YUKrAMmJoSbcOgkvgLY33XeJkGCSQxK8dcTvTdkeaVQ9N0nhvzR1HEQW2+8aTgbTxNQyuLdBsDibHp+KLIQy62ixbHnw21T1GRrogqthwatWnb3oJZJcaWjkkZUwcx9LzCk109vE3co9Zt2pUxfW5CRBCdK1bhCEZ6bVgUe2ZR9FETQ2dVnmG0b/ncyKopIw4yecKRXmU5voXRvjuKIg6l+ZersPVoHANv57n6fBGTb6qubV8UVRU1tFhs6KRlMMTHOtzdcVZp7MnskZUCfdexvqXKPGGI95Z4l1Qm38TSMrtwxGYz0xhLQ3td4cjiuHOzQ9YHuS4pjT8zwjomJqvIw82Dye/7X0PgXw7IUwAAAADo1/Shzrh85Wpra+u69Rv7XKwAADCwAXnaI0CeAt3StusRnZitSSe2s6dzRdJplVycQvxsuytqu6SE0SlhX261nYvat/ohCuQI8d32neKNnPzjl5Yuomy+RJTZ/pOYJikkW0JkF5HQKC2hcb40D5/jSr+0QfpThH7SOV8VRTamLUXazi+XqChcEbpsL0S6tT3PdKib5zDV9kVjiWAhOYAqbJGjV4SZvffClZud7BwZRBs6G0zpblSq7c2gUTqF6pUZK2qD0ZjghhGFoHo7xHPF1F60V0oZee7XQ8Rrv5QGC1H5KhxDS9Noc6OAnJHHh5oHMzQlRDlC+ld52xpP533pPuUpSNtDvhv09mBqO+nEW0f7MnREOV+yiNpThGS8avvmUTiA8i61tRz3VEvfc+bICj5fumcUNZIYYSGtvSIa5QXu619D4N8OyFMAAAAA6Nf0oc548OBha2tr6ZLlfS5WAAAY2IA87REgT4FvQkooRvs+SG1QUsh08pKaokrZEl21Qy5qmV+EIFfs5hfO0sKXHUsWy9RIzY7bpkq9235JreLLLekW81/V0s0JtT1fqqa0jS7Vi6KOw4KbTeOITB39/UJjzaycaV+Juc4HRLYBX3e2Y/fJ0truEnR8NNSWU8dTdnA6q4jOEwpEgV72qRZGvthdfuljZ+P2rcGUrauz2tvGvOsXjHyUMmMuWymdKzY3ixcZOpHOVGbEiDCyLtlnAQCdAvIUAAAAAPo1feUyWDydlpaW1tbWjKycPhcrAAAMbECe9giQp8C/EqnJYvIlMh5tAID7pcaXMPn9VcwRzZYwNY2ZmpJ+1wXceIZmfx184N8JyFMAAAAA6Nf0icjw8QusOXy0tbX18+fPxmbWfS5WAAAY2IA87REgTwEAAACgJ4A8BQAAAIB+TZ+IjLdv37a2tra0tCSnju9zqwIAwIAH5GmPAHkKABhiTqh0gyzqF9y9XaP0BH+oTk3pWYGUpQ+E9J+auivzaTxTOs+UnGQ60OYCA0DPAXkKAAAAAP2aPhEZWJ6iY3Hp0j63KgAADHhAnvYIkKcAwMCikCtW05KoaRmrdrCZMktqdlh2EwV3sqIr5aRtXVG8sCmDEky4WqOOXrL7lUO/atjX7dES26tr4aYKTR2Gaxl0V+yXBlPHoS1R0mZ1eUZqmsZqmngJha9XegUAgADkKQAMGHy0UsItspM8pk/wn5s9YlFOxGJEZujCNL+ieJepocaTPDlj+ryRAAD84/SJyBAamZVv3Iz9qYOze5+LFQAABjYgT3sEyFMAQDD5RgpMyabte/KLlm7bvEVNuhW7WJktYGoate23jrek50o3vmdoilXYAgZxC6HCFqq2b22PT+9eGscAACAASURBVFSJWyi9PQbvbi+S7l/fHk/MDDVauPVU6HA/FY7QZEj46KF+yhxpFmxaVdiGqm17HIlobAE+R4XQ2EJyU3tyO3j8E4X5RiTz9Y1dg+NoLO3EifNsrI1o0jK/iF1iP6u2hrU3Q9oqonDcMCMFlt7M0X95m3gzNYVu9nNKo6sLoy+Ndk41t5vqqC+mgTwFgK8BeQoA/ZoQo4kZIQu2La26f+NJS9vxublZ+hMf0oTmtvSmxuYrf95eOWNHqs/sYbqpfd54AAD+EfrKZagwWA0NDa2trTl5U/tcrAAAMLABedojQJ4CgBS+kTxTMm/OrP87mD1m6kqJ0CY6NS998gwbSzufiGSx0NTUN8HByVXk4O9m7+AXNT67oHCIu6fELSQpLT9sZJiqpsRiSISfr58yS39U0gS+oXV6XmF2QZGFpb2JY6RQYqKu5xyXlKpv4zt6XG54xChljnSJAAOb4atK5i8rLaZr6JkMCY/18lPhSueiMjVFFl6RqIrUMckMHYuEcbkpmdPHjklhaJqPSc9LnFCQNiGTyRWiSL6JZ3jk6EFMYXxCMp1vnjI+IzB+koN74PYjp1PGJCVNmJuWnjpl9kKRxFo6t5QnZoucx2XNyMidpW9o6hoQIxGYqepaBfuP1LMPjIkf7+UXrMIRMTQluuK4KaF7l8YeZWoKhzjMC7OL+G9V3ozQLSaWmY4GIE8BQBaQpwDQTwkUTqja+sfH93WNDU1fXOnnz61dHGQAikVZal+8WzVzp7fm2D7vCAAAPaQPdcbdu/fQ/7wsWbqiz8UKAAADG5CnPQLkKQBIIeTpqrVlfiPHrly7KXzS/LhRo1iG9gcqDvpFZ4wZHT1tyfascUkhSXkGIvv58+ZIHIbvPnDIcWR6Zto4JekMUwlL7LGouOS/VI2zJ04IT5vlZGOvLnCdO3+BjfckW1tztnDYsuVLjTyj/3/2zsOtieUN1H/Bfe7ld86x0lsSQi+hg4JYUEBFig0LiL333lCPXWyI2LCAvfd6rGAv2BWkqTSltwDmTvLBuAYSAgkuwrfP+/Dszs7MTlmDeZmyeM6cdvpW4mGe+hbDZqz28XBbt+eUm6ubY58RY/v6G1i623XyMjZztOnaz87V69KD1+Z23WOOntQwsFwUeax3rwHHL97lm9oNm7Z24qih2kZ2HYxcN0bu1nMZdOb0OXefoRvC5i7becLBwWn5/tNaBsaTF+4YNWyQeY9xM6eOa2cgIJms3XW0h0d3I/veEeuWj5i+3NOxs4ZltxVzFjoOmD5vUqhkSKytFtd66uAb3g6BS0JfW5o5eXfdvHRAZGifmLG95jm5r+huIWjcOqoI0oJBeYogfxwz/DfEX3lRWlwGzhTEKAwuLSwsevPm3bXrtw4fObFnb+zefQePHT9z505cUlJyWVk5U7CCRf2elX/+wO0g27msVwpBkEbDos54/eYt+TyJPXiEdbGCIEjLBuWpUqA8RRAxEnkasWWTuqHV35qmS6KOuju5a/IE0RdvWzn1jtoTs375woXL1i1ctqaj3aDFC+b28g9x8fDxDJ0/2H+wpmSPqXY6ZhOXbvEauaKTi/u8tTv/aq///zqaLlu7tXPvOS6dnLUt++zavdOp37iAQcM0JWuMttGzjT5xfdveI9HHLi2YOc3GO2RsX39z5z59+odYWzisiDgwZ86CQ9cf2jj0XL9+8996Vn6zNw7pH7on9nBHjsDDf8qiuVO0jezIQ8ct3Lxo3b6Q6cvCN23v5uIYtuO4vaPz8v2nNA344mn7brYa/H7Tp41rpy/ooGO6a1+MjoF5Bz2LvTt2jJoR1t3WuT3fbdnsBQ6BU327dyI5a3Ft2xmYR09KCh8Rt2nUs4mekz27bBjVbYq6gUUHA5POHqu6W9i21TVHf4ogTFCeIsgfRJDdvJM7r1dW/BxnSo68vPwnT55HbNvp2y/IyNhez8DCkGvNNRJQDDhWJNDc0iVkxITYg8dev3lfUlLKGIhaVSGs3DLvkJ8JTuRHkD8SFnXGi4SXIpHo5KkzrIsVBEFaNihPlQLlKYIAbbTswjesbatjQc75Lv7hkdELVmyaMmF8Ox3zsIjDHk5Ow+ZsXrlwXjtDu7Xb9i5Yum7W9JndQ+YM8hsokae2Wlwbu17D429e0jOy6eQzYsfO6GUbdo4YPoLv3G/37r2LV0ZFbd/i6DvGf8AQTfESq3adAqcsnj+3g6HgHx2rdZu323TtP7qPf3sDK3VD67ZaJmHhe+YsXHHmzmNre89DZ67OWbxm27Yojqn7kXO35i1ZvTlih7mFvXj7Ka5NJ99xpw9E6Fn1iDlyvL2W8ZLII472jhOW7Vg4d+7k2Rs6d7JVN/KdMmVMWz0bErnX0Bkbt0QtW7fDt3dfJ5/Q/ftj56+K/Hf2PIeAyX26uXbkCDQ5VpYOs4Z7jO9gaK3OsY0ac6ufx/rhHqO0uLaaHItOXVa4G5lOX7re2NSO9f5CkOYDylME+VOY6LUqL6eAMUH/R1FR0eIlK41NHYyM7Tg8G6YwlQWJxjextxZ03rf/ENPAVlVWpX7M6G8xk/VqIgjSUFjUGTdv3RGJRJmZWQH9g/im1qzrFQRBWiooT5UC5SmCaNXsMq9rbF+93bx40yc7jrlTB8nmTlp8O02eeDFQbckg046GNhwLlw76llpGJIRuQC/oGjhhxqgh6oY2GoY2WnwHAxP7jobizZ10TZx0jOx0jB0kOVTHJ5faPHpuT8J1GJvdq3MEhubOJBMtiy7r1m3RMHYSbxXFc98TE6tj6qLNtdGoialFii3JU5tvpyGuAnmKeP8oQzNHHb69ZKsoWx1SfsjWwErH2MnA2F5dstOUjomTJtdGR1wpO+2aTaV0jBy1qjO31TVy0uGRctrV1NGe3CLZauLIUwRhgPIUQZo/3voTY8LPM7Vp0qfkOfOWWtl0UtCZ1mlR3bp4b94SlZeX/3MQ67fCf8fuYr2+CII0CBZ1xoqVa+jCynv3x7CuVxAEaamgPFUKlKcIAoANZP7U4tkyLKGAmk0ah3np1Dtk46atbbTNmWJRk8eUjALJWFGB5q85My0k41mQ3FbTtNOU6fPbGdiQSw2u64JlqzU4Ai1GtlLF1mRmyJV6iqCuelU/6JdAiTmViqxZXXLpMiMIgvIUQZo5fibT4y6/oOa0sLDo4OHjFpYujXOmtens7nXv3v3y8uoVUSsrq3YuP+FjMJH1iiMIoiAs6ox26rp79u4vLi5BeYogSJOC8lQpUJ4iiJJQt6ghGQeqQrHI9LNSsF5rBEEoKE8RpDnjazT19eOkqspqdfr9e27ffoNVpU2ZE/nnLVhWVSNoK4SVMRvOs153BEEUhHWpQdA15GvrG7FeDARBWiooT5UC5SmCqITaw0hVnm0TPQJBECVBeYogzRZv/Ym3zz6hY05fvnrj3sVHteaUqVCHDB39/XtezS5SP6JXnWa9BRAEUQTWpQaCIEhTg/JUKVCeIgiCIIgyoDxFkOaJj8HEq8fuV1X9EIlEP378uBf3QN/QqonMKcXRuXt6+mc6/nRJSCTr7YAgSL2wLjUQBEGaGpSnSoHyFEEQBEGUAeUpgjRPVk+KrhBWgsd8+PCJtU3npjanQE+vgMKiInhucWHpxF4rWW8KBEHkw7rUQBAEaWpQnioFylMEQRAEUQaUpwjSDBnv+W9xQSkYzNTUdCeX7r/HnAL+AcPy8wtgxOv75yn9+FNZbxAEQeTAutSok3/aa7VT1yX8r426mmRrKUKbDtqsF0w+zHJKVUER2nbUgSTk/K+2GnD+dztNckkygUsCiVbnc2naZgizhKT8pHFUmDlpokbUndm88hsfaQGgPFUKlKcIgiAIogwoTxGkGRJ/5cWPH+IJ+wWFhW7u3r/TnHIl658uX7GuoqICFj+N3XiB9QZBEEQOrEuNOjl1+qxIcvT2DbAUOML502fPWS+YHByc3aCccfEPyOXhI8fgMmBAkII5fPv2HZL83U5zwqRpcL5pyzZyK3T0eFHNUV5e3kFTj6by6O4lYhzOnT1YbwoptPR4olqHUChMSUldH76ZWZfGsWvPXsiTwzdXMAmJCUlI2nobH2kBoDxVCpSnCIIgCKIMKE8RpLmxbNQOYXkFDPxctnwth2fzm+UpgccXHDtxBoa+5mYX+PKmsN4sCILIgnWpUScoT+XIU3L0CxhIUy0J+/dPlKf0uHnrzl9tNZTJH+UpUi8oT5UC5SmCqBiuQJMr0OLaNjc0oWCstw+CtDhQniJIsyLQfGbO11ywli9fvjazcPr95hTo3sO3rKxcMvi0inwl8NKdwHrjIAhSJ6xLjTqJPXgE7FU3T28u3wLO78XFs14wOZhZ2UE5r9+4SS53R++DS+8+/grmkJaWTuKXlZWR85DQMZB81Zr1arXk6eatkTTVzVt3/hR5+vbd++ARowljJ0yOjNopFAohfMjwUGXy7+0bMH/hEoLig1hJTEhC0tbb+EgLAOWpUqA8RRCVIbGTEmw0uFYaXOtmBSkV+lMEaQpQniJIsyJsZFRlRZXk61+5R7c+bJlTmLz/78r1oHGrqn6M67GC9cZBEKROWJcadTJ3/iKwV1p6PHKZk/ONDhL8u52mwN6FoK1vRC7tHDuFhI4JHDiko5a+VCZtO+r09PYld4eHjPL06stcMpVEhkxgiVJf/wGho8e7dO4Kd8kjfPr6k4Subt1ql03HgN8vYCCJTzKXWrszPz+flDMiMoqcT581lzkc8q+2GvBEOaMjL1y8TOInJLxSY4xjDR4xWo0hT5OTU8jPV69eQxJS/tLSUhKSlPSpTnnayb170LARJDkpMzQmTQjlIU3BN7UmlfXo7sVM6NTJgzx6yPBQclJnaUkJSc4kAjmR35tUnt65e48ZvmjJMgjfHrWLGU6anTyaZG5ibsMMl1VmQyMzCIcRrIq8IbQ7SNp6Gx9pAaA8VQqUpwiiKqg5teL5TTO7Otv89pzmASnJBLNThlz3GnmK/hRBVAnKUwRpVrx+nAS+Mi7+Id/EjkV5SjCzcPok+ZJfVVWFK58iSLOFdalRJ55efcvKyj59SobLy1evkcup02eRc76pNYitJWH/njh1ho64zM7O6dGrD82h/6ChJIQ5JDM3N9cvcBDc7RcwEALHTphMtSM5Yg8eEdi7vHv/gYacOXueuePTzNnzC4uK6N3PX7549fajd6/fuEnKSfIk5908vcn5l69f4ZYexxiS7N0fI6vWYctXkiQHYg6pSexefn4+ubR36qzGkKf7DsTCCVg/7z7+NFspeWopcHz95i2zBYRCIXkE3O3cpQcEzluwOL+gAM67dOtFblnbOj199pyZ8MnTZ+bW9rScNnbODx89ZkYgl6TdZNVLljwlfQThBw8dgRAjE6v7Dx4xc46JPUytt6wyS03bV+QNqT1tX07jIy0AlKdKgfIUQVQFzNbn8zzXWaRttMzcaJnVnMhcZ5Gqx3URT+FHeYogKgXlKYI0H6b2WVtVVQUz5YeHjGdltVMp9uyJAZmbkZbTmzOZ9SZCEKQ2rEuNhkLVWGFRUUlJ6fUbN6nrTExKonHKy8tJSH5+/qXLV+8/eATb6H3NyIAIVJ4KhcKMzMwrV69TJVpcXEJSXbv+3/fvuRBChx9Sg0mSkAgwzpTEN7W0rbfYishTOdBH05MRo8aR8LXrw8l5Ts63OfMWSclTMKeVlZX/3bxNWom0FUQAy0lFJA1PTk5Rk4jOz1++QAjJ4dnzF3D+6VNy2446JAKpbG5udcuQ51JDTVqDKViZ1ClP/26nebLGbK5cvY6E/NNe6+279yLJmt1x8fefv0iAuzt27oEkssosS57KeUNqy1OkZYPyVClQniKIqtDkCnR4Dm5GEyIs8yTyNHOTVVZzQFKYjK2Wuca8XihPEUTloDxFkObDxYP3qqrEduDtuw/6hpasm1OCSyfPiopKkXjw6Y+lodtZbyIEQWrDutRoKFSNlZaWwoTxf9prvf/wEQI1tA1JSPeePucvXEpOTrGxc4ZUe/buhwhcvoUaQ55++JioqcMhIaPGTqTy1FLgSEK8evtByLbtOyCT9M9iq5iU9AnmvxubWYNG3Lkrut5id9DUWx++mTB4aEgjak2daW/fAFCBMbGHSfiDh+IRoKdOn509dyFTnhrwTI8cPf7m7TsYBksYMXIsRAgJHaPGEJGVlZWBA4eQ+G4enmqM7acWLFoKCSGkqqpq0JBgcnn23AWIQMIhwszZ8yHk4qUrdRaeytPs7JxjJ04dP3n62vX/6AZNFRUV0OB0m6bps+ZCwo2bI6CE0GuyyixLnsp5Q1CetjZQnioFylMEURUgT92NJkZY5v9mcyp5nHisq5wIEZZ5JihPEaQJQHmKIM2E3oaTPrxIgWGem7dEsa5NAUOudXz8I/jWfevsY9ZbCUGQ2rAuNRoKVWOXr16jgXQye+3Bj1y+xeChIXHx9yGClcBJjSFP164Ph2gunbtCyKnTZyFEXdsAQk6cOqMmWYgTLv9dtZZmfujwURKSlpbe1LVmytOdu6JFkhUDNHU4FRUVYBul5CkTEs2nr/+BmEMQYeLk6WoMEQnbW1Hi4h+AQabLuZJ2cPPwbK+hB1nBE18kvKydqrKyUteQX7vwVJ7WPsrLy8eMnwTRYNVRkj99tIWNA0QDBSyrzLLkqZw3BOVpawPlqVKgPEUQVcGUp/W7TuusTTZZm6yrB6jWjFT9KUCpfv3Vw/6M/8vAUovMcItMWCsA5SmC/GZQniJIMyHAdEZhXjFoymHDxzbUcnJ4NsbGrl2dZjgJgqXCTUzcujvPsbMO5PAa40/Dlq2BxQSS3372NZrKekMhCCIF61KjoVA1Fr3vAA3cvDUSAmEMI8HWwXV39L7U1DQpW2dt+4s8pYMcBfYuELJ123YI+budJlOnDhkeSn1fUVExQPeLB7fYdDDl6dDgkXC+cHEYnDg4u9WWp7qG/FVr1ickvCIfwswWmDRlhhpDRML2VhSYs0+nt0vh6NoFUu3Zu58ZviViO4TDqqlSUHn6/XvupctXCefOX4w9eGTpspW0v9Rq1hkgB21eAoSsD98sp8yy5KmcNwTlaWsD5alSoDxFEFWhoDzdaJkZbp651/fbual5sX1yqkWqVeYmQdZW+xqLai32qoQtdjWXNfKUEOEI+lUcTk42C7L29Pt2ZvS3cAsceYogLIDyFEGaCbMCwuHrMfnp4NStoea0m/PsFaE/lgZXLRpWZGHWg3l3XlAGCQ8LrhrZ+yqf79JQeTooaCQULC+nYJDNHNYbCkEQKViXGg2FqrGoHbtp4KYt25hqrJunNyyLmZubG3vwyLgJU3bs3AMRpEaeTpk2C3Kg8hQ8nVoteTqsRlkmJLw6d/6iFFq63CatNVOe6nNNYAlXWJU1J+cbiSAlT7X1jVJSUkWSRV0vXroyZ96iyVNnQgSpkaew3iglLS1dxFgcVgrSvJAKNlai0OZ16dy1dipZG0ZJAQuelpWV1W5eUng5ZZYlT+W8IShPWxsoT5UC5SmCqApF5CmMEt01MPfz/bIbKwseriwgIVFdsrfaZZ5fWRi/Jo/cJWxzyd7eKWv/9MJb/+ZvEmTt6JK9xTZzq0NWpEtWZI+cDxeLws0yIztnR7pmhVtmbu+SfWp2wfOo/A0oTxGEDVCeIshvxltvgq/RVH/T6QRf3hQv3QkQfnDTRZizn57+WfGtooz4jn3c1k3v/yFMrEd/AI6CoTSCqYnb8pAfNbeq5g/5PszrpIWZp+KPcOviA/K0Qlg5pusy1hsQQRApWJcaDUURNXbm7HmRZMlLsGmE9eGbmREaIU+dOnnAZfimrfS55tb2TT3mFGDKU3L56vUbUc0BxZOSp3Qd0v6DhkIOtMoTJk1TY4jIsOUrmQ+6dv0/kWTLJtLOEGJoZPbq1eujx08GDhzSTl2XtCqJ8DEx6a+2GjTVy5evRJLJ/h219GsXXkF5CqupVlZWwrKkapJVAmgx5JQZ5SlSLyhPlQLlKYKoCgVHnoabZ35Oq9zrmXV2Rv7pMd/vxZY8jCzMeFb+9Gzpp/PFEZaZ682zv8SXXZied2NfaeLl4uOj8u6GF2beLnkYVZJ8ofj80oKcd+Wnp+Ylny7+FFd2Zmxu+Wfhh/vCp1tRniIIO6A8RZCmxpc3ZbLP6g0zDpzceePds+SSorIqxlGYV/wi7v3+defogqcnTp415FrX4zTFk/Hde7jMmz0oHbTpshARgZwsGJJrYdaTxuQZ2U8NfEvjgEVdFlI1yPOArVUg18i2Xnlqau5YUVFBCkZKe3DTxc1zYo9vv/bw+suk1+mfP2WlvP/67O67CzF3doQdXzlu17juy/typ7De5gjSqmBdajQURdTYfzdviyTz6w2NzMilkYlVUtIniABbSDVCnv6vjTqM5czLy3N0cSch1rZORUXF5MPt9Jlz9RZbQ9sQBlFOmzmnEbWWkqeRUTupPIWVB6TkadjylXAJuzy16aB9/sIlCJEaxSklIkmDQPjZcxf0OMYdNPVgXVdyDAwaTiLEHjxCtaOWHk9Ll7t1W/Wc/d3R++osvILydMz4SRBtz979pLVJCMmQXOYXFHTz9JZT5qaWp6TNoe/qHFeL/BGgPFUKlKcIoioUGnkqkacPL5dfGP/94Mi84gxh+ouKe6sK4jcVnltaeGth7gbJpP6LiwvenCnZFlpwcUru1Y3Fl6bm5r0pfRRdcqp71kan7DfHCg/PKHh7oPB2eOHd7UX35307OrXg2XaUpwjCDihPEaTp6G8x89CWS/nfi8rLhLBsqCLH4qUruUbyhoVyjGx6dQpbPKxw6fCqGhkqsaIhVZMCEsxMu3IZa5tyeDZGRg6B3XeHBZcz/WlYcNXiYaUj+1w15rvKl6eGPJvk5FQoW2VllZyKkFtlJeWkvoe3XiZ1Z739EaSVwLrUaCiKqLHFYSvgMiMz89KVq3l5eXTdT6/efmqNkqdqkmVPYb48yS0lJbW8vFwk2eCor1//eoutxzGG3Pbuj2lEraXk6aAhwVSewobyUvK0m6c3FLW0tPTy1WvJySm0BWDOuywR2bajzouElzRzmurO3XukQdQk2jEt/TMEwqc3nH9MTNLS49VZeAXl6T/ttZ49fwExSZd9zciA87v34iACW/J0wqRpEJm8Nuy+/EijQXmqFChPEURVKDTyVLKk6UarrDcXSxNvlCXsLTw+Pf/lsZK49fm7+ucmni+JInetsx/uLnq2v2hjp28fL5fcDC9KiC1Oulh8c3Xh0S5Z662z3t8oOzfpe+KV0ifRRbu8ctKflL8+V3prcS7KUwRhBZSnCKJyfHlTNs2OfXbnrcSZ1mEYpQ7md1dyEjxivByVaWLiNjXwJZ2hDzJ0abAw2Pu8i+0IOYuiWpj18Oq8fF5Q9q+jUKsWDs0VWPnJeaIBx+ruvfu0hPTLNq0LvaR3SViFsPLl/Q9715zxN5nOeo8gSMuGdanRUBRRY/+019p3IJZ+sMTF3+/Rqw94QNgPqnHylDA0eCSMP4Xj3fsP/oGDFSm2auWpjgEfapednQMRam8YNX3W3MKiIggkZfYLHPTm7Tty/iLhpZpsEQlFPXHqTGVlJUQQCoXR+w5o6xvRCFy+xdHjJ8vKyiACOYmJPUyKJKvwCspTNckmVyTniooKiF9eXk6aS13bAO6yLk+h8ZE/EZSnSoHyFEFUBVOeijd0krPsqWXmeuOM1YYZ4ebi8zWGGeuMxSdruRlwVxxiQk6y1nAyNphmkJ9rjcRJNlhIovEyNpiJI5Nw8SUnYx0/Y72JRMtaojxFkN8NylMEUSG+vCkrxuzM/pILRrHGJFaR76UfPyZdvXpz777YGbMW+voFuXXxdu/i4x84bP6CZYePnIiLf0i+P1dUVpL4JFCOyhRY+S8ZXg6T9CX8mOj/WGDpx+HVN9O/Zo3UoJ6HlgwvY+bg13WbnCVQDbnWFy9dIzUi38MLCgpfJLy+dOna4aMnt0XuXrt+y5atO2Jij549eyk+/mFqajr5nkxFKoxULS4o3Tz3IA5ERZCmg3Wp0XToGPA7uXc3NrNWec4WNg7uXXuamNuwXkf5tNfQc3TtYuvg2oi0WrpcV7dudo6dZC3q2lFLn2Tu6OJO5aaq0NA2JI9uipwbDXmRyC8m0hqslwRpHChPlQLlKYKoihp5OkG+PAWVyRSpkvPMTZITZkhtE8q4+3Moa825THMqXmjVMgPlKYI0EShPEURV+JtO//TmMx2IKZJMliwsKtq8NcrCytXU3JHDs6nTUZJAHt/WzMLJs6cfSejnP1SO/awtTxcM/WZj6avgBlA8vsNQrxNhwZUNkqfnL1z58CHR1y/IxMzR2MQeKiIFVIFEiIqKLioqghGpVKGWFJbOH7yF9T5CkBYJ61IDQZo5ehzjq9duvH33nvWSII0G5alSoDxFEFWhyRVo8+w7GY3ZapkLlrP5EG6ZQUrF53qiPEUQlYPyFEFUwsReK3O+5tI57OXlwouXro0eO9XI2E4Rpwk4u/YgOYSMmCAnjrGx6+SAZ2HBVctCmAuY/hjd97ab/Xjmaqe/+lmBhXmvwT1j5wd9k9o8an5QjqW5l/xp+/fiHsTGHlWwFuJVVo3tQkdNOnbstFAopJP6S0vKD2w472MwkfXOQpAWButSA0GaOVOnz0pIeGUlcGK9JEijQXmqFChPEURVaHIFBF2O4wrzt+GWX8PFyrKZIJ7dv8zilTbXThPlKYKoGpSnCKI8wS6LykrLa7ZUqnzw4HFPrwDFnSnFybk7yWFp2Gr5w0gNuVY9XRdP7f9maXAFaFBqQif6P3ESDOMa2TLi25ibdR/QPXpZyC/LpIYFV80P+jbc6yTf2KVeGZqWlnb4yImGVock5JvYnz5zobikBBqnQlgZPvMA6/2FIC0M1qUGgjRzYKcs5I8G5alSoDxFEFUB8pRgwOnU3WhGT6O5PY3mNRPcjSZqc+ygeChPwquOngAAIABJREFUEUS1oDxFEOW5fOgejDmtrKycPXcJ38S+EeaUYGLmKBQKT5+5YMCpZwFT8ehOvpOTYPi8oEyJD/05knTxsGJL8140Js/Ibu7gDBhtWmNOybkwoFuUqYm7IqUyM3citYvcvqdxleLxbfv4DsrNza0ek1smHNdjBetdhiAtCdalBoIgSFOD8lQpUJ4iiKqg8pSgzrVsZlhpcm1r5Cn7bYUgLQmUpwiiJH4m04vyq0dW7tq9v3GGETDgWH1M/JT++YuCC5hyJRtAeXdePr3/e+ZEfkfBz1VTTU3cl9eMOSUsHJoX2H2nhVkPxR/h3sWnqqpq4aIVja4XeVa37r5ZWdmSdWB/nN7zH+u9hiAtCdalBoIgSFOD8lQpUJ4iiGphKtRmhRYOO0WQpgHlKYIoyepJe2DYaWlpqZVNJ2XkKYdnc+jwcZKbk0uPBiU05Fp2c541Y0Di0uHC+UE5ZqbdmHenBL5cOrxiftC3EJ8LRnynhpYqaOjoysrKIcPGKFM1QuT23aCYP75MZb3XEKQlwbrUQBAEaWpQnioFylMEaQIEzRjWGwdBWhooTxFESU7suA5O8MHDJ/qGVkoaxomTZlVUVAQHj2+EeDXiO1tb9LY06yl1i2/sYm3Zp0GjTZksX7GuqqrKtXOvRqRlMix4LGklkUiUm13Aeq8hSEuCdamBIAjS1KA8VQqUpwiCIAiiDChPEURJTu6slqf37z/SN7RU0jB26+FbUlIasW1XI3PgKfX02hhwrB49fvr69Tvls/IPHA7ytDCvmPVeQ5CWBOtSo07+aa/VTl2X8L826uQSztt00FYyW5IbM9t6+autBsSHLYPadtSBS8WfyCy5VKVInnBZJ6x3AQBVJiVvukdY2zr16NVHYO+ieHs2dbs19D1p6nxqt4CcPazqjdBESL0qzH8sUv+OWAHlqVKgPEUQBEEQZUB5iiBKsmHGAZi2X1hYZGrmWK9DNLNwEti52zt0tbV3N7cU73TPHBDK49t++pTyMTHJkFvPnlG/B1jwdHjwWKlwUmYeX8A3sSOQE0XGtM6ctYhkJRKJvqbmsN5rCNKSYMtlyOfU6bMiydHbN8BS4AjnT589VzLb4BGjIStyokj86bPmQvw168LJ5ecvX+BSXdtAkeQOzm4QPy7+Abk8fOQYXAYMCCKXm7ZsE8k+9DjGrPcCoaysjBTm6rUbTZF5N0/vd+8/0Cq///Cxaw8vOfE5fHM5LdagrpFP6OjxkNuQ4aHK5NPQ961eaAvs2rO3zgg9evWGCFE7djdFl8lB6lX59u07lOTvdpoTJk2Dc/LO/+ZSUVCeKgXKUwRBEARRBpSnCKIkfibTy0rLyTeKHz9+rF23RY49nDV70cuXrz99SsnMzCLfSTKzslNT096+fX/i5Fk7Bw8abcCgEVVVVaNGT27cLHvVEhNzJDk51YDzczkCCyuXzVuiXiS8IiX/8CGRQE7I5eQpc+QIX1KXm7fuVg/RvZrAeq8hSEuCLZchH5SnLV6ekgrmFxSQzPPz80+fOZeW/hnO5VQc5SnK00aD8lQpUJ4iCIIgiDKgPEUQ5bl74SmMqczNzRs5erKUNLR38Fi+Yh35EgIDVKW+JZKQKslx6/a9ufOWWlq5GnCsnz1LuP/gsbGpA7vm1MzcKSUlbcfOveBMZ89ZcuXqf5WVlVIVASVKAgsKCjduinT38JHSvnwT+1WrN0I0knrT7FjWuwxBWhJsuQz5xB48Ah8R3Ty9uXwLOL8XF69ktg2VWWMnTIb4S8L+JZcfPiaSc/I5puA0djMrO0h+/cZNcrk7eh9cevfxV2PI0zXrwkl5pFB+jQKV0HTydMjwUKj+8JBR5NKAZwq/CkNHy3wn26nrMpuouLiExP/+PZcZqJKJ4aqSpzZ2zvMXLiGQE5U02h8kT9PS0sklCSTnIaFjoFSr1qz/zaWioDxVCpSnCIIgCKIMKE8RRHkm914jLK8An0i+Ot65G9/d09fGzm3AoBHPniWAWKw9uOZHrYNEKy8vnzNnyYp/15eWlnp078vu4NMVK9aT8nRy85o1e3F5uRCcqdRRZ40ePX7axaO3uaWzuaWLnYPH3bv3aQXTEzNZ7y8EaWGw5TLkM3f+Ivhk0NLjkcucnG9UGLVT1xXYuxA6aunzTa1DQsd4dP9lrjcJDOgfRMK79/T5q60G85YseWpmZTdoSDBJ4tzZgxnu6tYN4g8MGq5WMx72/YePcFdD2xBKoqnDkVWR/Px8kiQiMkqNMY6VwzdXY8jT3r4B9TaIg7Nb0LARQ4aHkhOpW1y+BRSDhvzdThNCDI3MIIQ8kVxaCZzIeQdNPf/AwaGjx9fOiqDPNSGVHR4yimdsqSZDnuoY8PsFDCQ59PT2lfLI1rZO5EEkE/KUocEjSTRZFtirtx/TA3bu0gMuBw8NUfAlgbb9/OWLrAik+0hHk3YzMbepM4JTJw8SgbQqOWGGM+UpeYV6+fQbOWYCeZ2YcUinQyO37aijJraWfaBBmMub0jeEnDDTauly/QIHkTxJ12vrG0mVimRI8iFvI+kFT6++zAZUoTwlHUeeQspM/rGQ8tSOoGvI7+vXnxSS9IhL564NfVUuXLxMLhMSXqkxhmCragRuI0B5qhQoTxEEQRBEGVCeIohKmDtoc2lxuZRSlGMYq6qqKisrS0vLcnPzsrNzSkpKhEKhZEyn+CgqKiJxUtPSTcxYG3zq5R1YXi4sKCwkxZOUtqqioqKwsOjtuw/PX7z88iWDfMuC0krVkemChcIKpmnN/pIb4rqY9c5CkBYGWy5DPp5efcmnxKdPyXB5+eo1cjl1+iw1hmWbt2AxzPsmR5duvdQkrurI0ePk45F+pKSlpQ8YPIxmW1uetumgvT/mIPNvVA8fPTY2s6Z3yecYebSFjQO5XLx0OTk/evwk3KVjJ+UMlrx+4yZJMnbCZDXJEp/k/MvXr3BLQXlqY+dMisT8RUAumaqUrgZAt0vim1pLGbS9+2NEkknx/QIGgomGgzQXU/bNX7gEFBg5yK8V0sK15enM2fMLi4poDp+/fPHq7UfvFhUVk8DIqJ0vX76CCIuWLKuzXn+11YCRvOTYs3c/aWdykpiUpPimT3LkqZGJ1f0Hj5iNFhN7mGkhrW2dnj57zozw5Okzc2t7uEvlKSn8q9dvaJx7cfE6BnypOEHDRiQkvKJxXiS8BDle5/tGWBL2b0lJKY1PWmxx2Ap6t/+goeT3JrNgubm5foGD4K6q5Gkvn34wMhQOUp5ZcxYwI/y7am1paSmzGK/fvKXto8irErZ8JQk5EHMI+pp0Frm0d+qsYOeqHJSnSoHyFEEQBEGUAeUpgqiKFWN2fnrzmY7OFP16gEwsKS29ceP2nuiYIUNHG3KttXVN9Q0t9Q2tdPXNtXXNenr5b4vcfe26+Is6xF+5OpwVc8rh2Zw/fxnc6KtXb/bHHO4/IIQUUs/AgtwiGHCsSIFNzBznzFt6+PCJj4lJlZWVsioOs/XfPEkKdVvCejchSMuDLZfRaKg8pQYqOTlFTTKS7tHjJxBSXFySmppGP0bo5OvaMgusIjnevnt/89YdEK8vX75SZPa3IvJUDlSerly9jmTFhA5UNLW0zc3NhWg5Od+oVsvPz6cmS3F5WlFRUVpa+u79h+s3btLWGzFqnFR1ysvLb92+8/7DR/pRTI0YNYYZmZnXrv8H+pK0NiknRAB5SjMnjU9v1aZ7Tx/mx/6z5y+otlYEWfKUvAmkN+HpcfH3n79IgPx37NwDEbT0eHT52tdv3pLnwvmnT8kwjJRWk/wW+/L16+Wr18hPCAnftFWqKQqLijIzs65cvU5+Qkj0vgOy3rf5C5fQHiRl+/69unMnTp4OHUcaH+5eunz1/oNH0D5fMzIguUrkqbWtE3QQ6SzyJlCLOix4JEQYGjwSQlJSUi9cvEw39ar9ZwM5r0pzA+WpUqA8RRAEQRBlQHmKIKplftCWrynZMApVxBhnmp9fELFtp66+OY9fj7gkEcwtXT5+TJKsLvqjs7sX1+h3T97fEB5Byky+E/YfGKLg0gGunXsmJSWTr2FMhSr2xUVlOV9zFwdvY71rEKSlwrrUaChUnpJPucCBQwx4pm4eniR81pwFEH7u/MUOmnpqEjcH4xlzcr6BWJSSWda2TvCBc+LUGRiAGdA/SEokycHB2W19+GaC1GR/BZGzYRQdWHr23AUIgUVX1SQDPyHk4qUrEKK4PCXHwUNHIGTkmAkQsnlrJIS8SHgJv3d69OpDLkmDHIg5JGXE0j+LnWNS0idYTsHYzBrc7s5d0RAB5Ck5Vq/doMcx9vTqK6v6pNFevXpNqywUCs2s7BrUgLLkKd2eaPqsuRCycXMEvDBcvoWaZOwnRFiwaClEgBDyS2fQkGA1hhglJYQdqCxsHCoqKkjIg4ePIQmN8+79B5DdJhYCeJ2ePX8BcaTeN/JaQplTUlLJe6smmRr/NSODhDx/kQBv7PkLl5KTU+gaqXv27occoOQqkafwwpDqwHvbtqNOXPx9keTvBxBh3IQpN2/defT4SXsNPXgTwJ9++Jio+KvS3EB5qhQoTxEEQRBEGVCeIojKGem2NPntFzqfnXzZW7J0la19lwYtYGps6jB2/PTS0tLPn7+6uHr+TnPqHzCsqKjo5KlztnYNKzOJ7Oc/5MaN23RHKXJyYsd11nsEQVo2rEuNhkLlKezCRIFhp0KhUJ9rQgPXrAuHyLBoqZTMoiur9vLpR5OAH4w9eKSpK1KvPNXU4YCwe5HwkpkwLv4BqEBdQ/EU8gbJU/euPSHE2Kw6DuhUkhVcxsXfpw+iG16BEaMrwP67ai2Nc+jwUZFkeQS4BHlaXFwif08t584eMPeffM7TgZ/k0X+301y6bGXY8pVde3jJSQ7Ikqew2iZpOloGCxsHeASsnwANyCykuraBm4cnuEI1hhhduDiMZvsxMUkkEcdy4nz6lCxujfTPcCn1vvX2DYBLqsLVJAq+ziVZuXyLwUNDQGuSA9arVYk8hXa7c/ceDRk/cSqkqu2vrW2dJkyaBv8oYMUJRV6VZgjKU6VAeYogCIIgyoDyFEFUy7geK76m5tABp/fu3bd37NpojzkoaOT377mPHz9z/l3+1NcvqKCgMHL7HgOOVeNyMOBar1wVnpefX9MIP07tutHbcBLrXYMgLRXWpUZDofIUdmGiwBDIj4lJzMD+g4ZCZFh5U0pmRe3YDZclJaVFRcUArH/68NHjpq4IlacBA4LUtQ2YQARH1y4QYc/e/cyEWyK2Qzis9NogeWpkYgUhGtqGEEKSk0t7p851PgvsLRgx5mRt2lxCoRACwTyCPIVtguRw479bkGrQkOB/2muBzSTH7uh9xcUl5ATWypSPLHn6+s1byI0Wko6HXR++mUSAOfuJSUmycqZiNCR0DA2EhU1TU9Ok4tB1DwgggmmRpN43OiSWmUQKWwdX0gh00Ql6WNuqRp7qcYwhQmVlJW0curxpv4CBEI2cnD5zjq4qAAesHqDIq9IMQXmqFChPEQRplgiQPwTWXxX2QXmKICok2GVRZeXPLen37juovM10cOxaWFj47NkLA451U5tTHl+Qn19wIOaIIVfZZzm7ejLGn/44tPkS672DIC0V1qVGQ6HydOXqdcxwMGIpKanMQLp645x5i9Rqyaydu6Lh8r+bt8+dv8hke9Supq5IvRtGWQocIYKUSdyxcw+Ewx7oVJ7SgZPm1vZSBo3KUz2OMYSoaxtACMjTOp/1V1sN+BwGIzaspjETEl5JNRcBdmwHTXn3XpycinfU0odsb92+AyGGRmZ0EVI4fPr619uAsuQpLHhaVlZWu5CTp84kEWCVT7qQaG2oGKWr5arJlqfMOLAJlSx5OnbCZLicNGVGnc/t5ukNq5Hm5ubGHjwybsIU2teqGnlqwDOFCKSQtdune08fEof8Y4E4nz4lR0RGDR4aArtvwchTRV6VZgjKU6VAeYogCKvUODgu0iJolVIV5SmCqAp/0+lJr9PpmNNVqzeamDkoLzQ5PBv/wGFZ2dlv376XrH+qSlvKYTwlcEBwYWHRxk2RyptToLtnv6KiIjr+dNOsGNb7CEFaJKxLjYZC5WnY8pXM8Nt37ook4+mYU4+3R+2CyLAjvJTMosuk+gcOpkls7Jz/aqvxGypSrzxtp64LQwI/JiYxiwQb2RcXl3TU0ieXBw8dgXzoegXdPL0bKk87aOrBGFJYfBPo2sML4oARc+rkAZd00yQ1iail0latRp7+d/O2nIpTA3jpylUa6ObhSXdvf/XqtSINKEuewkKx5E2g+25p6nD4pj+3orp2/T+RZMlOGmhoZEYeevT4ycCBQ9SaTJ7S9qQ7ShHWbdh489adbdt3kC44c/Y8uUs6nTQR3F0fvhmSWAoc1VQ0bR/GaD9+8pSG8IwttfWNakeg26Y9fPSY1kuRV6UZgvJUKVCeIgjCEhK/BrqNS05sNQk8AfInQjpRU9KJElqdQkV5iiAqobfhpKe339Ysc/pja8ROHt9WhZbTs5f/u3cfwjduE1/yJKhUnloLOn/58nXR4n9VZU4Bvok9+ZoKbVJeJpzQcyXrPYUgLQ/WpUZDkSVP6bC++PsPLWwc2nTQHjV2Ilie9x8+QhwpmWVubQ/D5Z48fQbyaMTIsSLJoMV5CxbXW5KuPbxgvF5Pb99GVKReeUqIPXiEyjItPZ6WLnfrtuo5+7uj90EcOot/9tyFapL5+JevXmuoPCVcunIVQmbOnv+/NupcvgVpFqYRI4EpKankMi8vz9HFXU2yICYsdHD6zDnIRBF5SkhK+gR+k3RE2446PGPLyKiddLdAqB1dhUAWsuTpmPGTIJM9e/fDPmAkN3KZX1DQzdObXE6ZNgsinD13gTRIB009WLlVVLM2bhPJ07/bacIA2+LiEv/AweSSvELMhQ5Iu4kkqyIYGpmRSyMTK2gocsAWUorLU5IVaQcpYH+nmNjDEGfkmAlqkoHAsAFUcnIKeXn+aqtBCgBuFFrP06sv/DvKyMxU8FWRD3nh4R8ODJ3+PaA8VQqUpwiC/F5+jjPV/InNL3CQPwqp7qvp1l/HorL+4jUhKE8RRCWsn76/qmbCvsrNKYwMNTFzMDK244jPVSpPedX5G5uqYJxsbTy69YGv0+Tn56SsALMZrHcWgrQwfpu8UBWy5OlfbTWuXL1O7RssXSqSLHxJd0mSkllqjKGpZWVlyckpcJ6ZmQWbm8uHrgEaOroxzaiIPOXwzdPSP0M0+B0B5x8Tk2C/ezWxL+tDa/35yxdS34zMTNiOqUHy1NHFnY79LC4uIQ1YWlqak/ONacRIlemGfikpqWDZKioq+vr1hwgKytPBQ0OYqpQe+QUFsHQmOTZvjZSfiSx5+k97LboJVV5eHmxnL2IsJtC2ow7oQqlX5c7dezDWsonkqRpj6QPmcysrK2Gx0cVhKyCE9OClK1dJ4WkcGDqtuDyt84C+Nre2J+0MIV++fqXnq9ash0xgZC453rx9R7pSKBRCMUh3k6ZT8FWRA137lS6x+htAeaoUKE8RBPmNSGlTqkoFGmJskD8cwa86VUqhsv76NRUoTxFEeSb7rBaWCeFb8fMXLy2tXRV3izy+reI72v+MqSp5ypOoWCpS6y+twIBj1dC9pEJHTiJf0ujmUaz3F4K0MH6bvFAVsuSpmkSKrVkX/u3bd2qLbt2+4+jahUaoLbP+10Z95ep11B+JJOIPNuepl98gT9Uku64fPX6SuipyEhN7WMeAz4yzOGwFjfDw0WM7x06ZmVmiBspTsWDy9k1MSoLwtPTPvv4DwAYyjdjQ4JEw/hSOd+8/MBc9UFCeEgIHDqE7O4FAPH/hkoWNg09f/4zMzDdv39GNs2QhS56qSXaEJ41GPWx5eTlpAWaGpB1OnDpDHgoRhEJh9L4DdOp608lTCKRCXCQZFt1/0FC49U97rX0HYqlWjou/36NXHxCXW7dtV1ORPCU4d/aAZUzhyMn5tmDRUpqJsZk1eTTtlwMxh8ZNmAKXAwYPU/xVkQWVp/LffNWC8lQpUJ4iCPJbqB5w+lObSiwbw7tZIy2C6g5lWNQahdpy/SnKUwRRnvgrL2BzpNzcPHMLZ0UcqIWVax/fwdOmz//vv9tv3364dOnaxEmzfPsFWQvcyN06dao4vK6hoyS8AXPteTYGHKva+XNqqPu5PBtvn8CQ0IkXL13LysrOys45c+bi8JBxXj79FRxje+Hi1erFTyur5gzYyHqXIUhL4rfJi9/G3+00beycO7l3p6KwXv5pr2Xv1LlBSX4zHbX0HV27OLq4y1KKGtqGnbv0MLW0VfJB/2ujLrB3IQ+CKduysLBxcO/a08TcRsnHGZtZk3xIy8N+U4CWHk/5nKFNXN26yWk08lASwc6xE3PZ1t+DlcDJzcOzzgHOOgZ80iCkZZq6DBy+OSmDta0Tef9r3+WbWpM3SkrTM1HwVakTUkGRSERa/rc1OMpTpUB5iiDIb0HanIoVG7cubWqI/IHIUaitwJ+iPEUQJVk2Kgom7FdVVa1Zu6lejWjAsYqKis7PL6isrPzBOEhyEpKXl9+9hy/XqG55WjvQkGt9L+7B5y9fp06fp67JpxaV80sqcUI9AwtdA4uNmyKzsnOCho6qI38Z8tTM3DE7O6e8vPzHrwcpMAn88uVrd89+9Q6eJRGSU1Ih4bO771jvNQRpSfw2eYEgCKImGfZ79dqNt+/e/86HojxVCpSnCII0PXWZU7FZk6NNrRiwbQaRX7CS2Tt1KdRf/Cm8DOy/kCoG5SmCKEOA6YyvqTngBF++emNi6ijfIQ4KGpmW/hmGqUrNxSMhhYWFo0ZPluVJ6wwcM3Yq5EZ+VlRUpKamW9l0kpKnHJ715Klzv3/Ppbq2uLjE3rFrnSNM6yw2j2975ep/zDLTZUzJUVZWdiDmiLWgs/y6z1+wHFJVVlTNG7yZ9b5DkBYD6yYFQZBWxdTpsxISXlkJFFocQ1WgPFUKlKcIgjQxv5jTmgGnvwhTdUOragwskT+Vmk6UFqncn/60pa5/ivIUQZRhSUhkZUX1JgwBgcPkqEMe33bi5NlUX4o3Zyguy/r8HZZCA3Paz2+I/MGbtQNX/LuO6TRJbr79gmonPBBzhO5ZAY/zDxiq4MjTmkysL1y8CqKWHBXlFWkfM+glOW7dumdj6ybfn7558x4if8vI68udwnr3IUjLgHWTgiBIqwJ25frNoDxVCpSnCII0MVSeSsac/pyqb6NuYKln7NBB16Kdtmk7bbN2WsgfDulEbdOOepa6xvbqBlY/x5/+9Ke2KE8RBJHi7dNPYAM/JiYZm9rL8Ya9+w4qLS2tMac/yH+yhzstfHn/IzjNioqKnl4B8s1jnYwcNZk5jrW4uNjETHr0K4dnM3d+GI0GZRDYuTf0WabmTm/fvod8Kiuq1k7ZO9Fr1bfMfKqDHzx4TOLIycEvYJhQKAT3OsNvPevdhyAtA9ZNCoIgSFOD8lQpUJ4iCNKU/GpO6QqnktnfeiaO/2vP+79tDP5fW0OkxUA69O+OfB2+nXhSv/T8fbr4KetvpipBeYogjWaS96rKyuqhl8EjxstZ99Pdwyc/v4AO0vx37E6SfM/KUyQ5DBddvab+xVLrzJ9vYh+9N5YOaJ0ydW6daY2MbY8dPw1lLSoqHj9hRh17Rsmetk+xFnROTKr2xYmv0kgtBtnMkeyXJQ4hxSAVkbN7laV1p+TkVDCtJ3feYL0HEaRlwLrUQBAEaWpQnioFylMEQZqSGnlas87pz6n6HCsNQxvQbWrtOEiLAfpUi2tbPYW/xp/+Mnm/ZQ0+RXmKII3mSMQVsJ8fPiTpGVjKdo42x4+fAeFYUlQ2zXctSRvssqggtxgCb9+OkyMc5ctTCLe0du3lFcDhycuERLO1c/cPGMrj28qKUK88JYSOmkRXWT267Qqpi7/p9JT3X2lgPz/pdQOYj4iI2Akxv2Xme+tPZL0TEaQFwLrUQBAEaWpQnioFylMEQZoQLshTxrDT6gUxxXsNqetbozltkfzfNgZaHIG6gaXGr/5USyxPbVCeIr+BSd6rrh9/cO3YfZzX3Mx5cvsN2M/9+w/LsY2Dh4yCuepVVT8Ob70MaQ9tvkguRSLR9++57h4+iphTfUNLrgJys9EY8mz0DCzqjcbj2x48dJy64GCXRaQ6/S1mZqV/h8CLF6/J0bgunXrStQum9F7DeiciLYPNcw7ev5pwaPOlwYK5rBfm98O61EAQBGlqUJ4qBcpTBEGajJ9z9pnDTn9uD1VLnuJA1D+R2l0G8rSjvoVk8Cn1p4zBpyhPkaZkYq+VZSXldGOfK0fi+3Ams14qpE4y0r7BpPvpM+bLcoWm5k4vXrwCXZj0Ot2XJ94labBgbklRGQTu3n2gXl85PGTc+QtXVq3eqMjI0EZja98lNS09fOM2CysX+THtHDyysrIldf8RsfAItMbW+Ydg8r5QKPT26S8rrb6h5YcPiZA2evVp1jsRaQFErzpNPzOF5RVrJkezXqTfDOtSo07+aa/VTl2X8L826uQSztt00Ia7cEm3nSEnENKgR0hlosJit+2oA5ek8MxaNKhgUFmpdlAE8nTaGn+11WBWs3HlYQVmM9IuJtVhvWByIF3GfEub7WvZOkF5qhQoTxEEaTLAnFJ5CqudSrQp7M/+qzyli2aybgORBlG7437KU9LL4E9b9Mx9lKfNjRdx70W/Hinvvox0W8p6wRApehtOqiivgP2XvHsPkOUKu3bvW1xcDE5ndv+NkDZq6TEYdlpUVCR/mylyd9nytRUVFVVVVemfvzSdOSX08g4sLxeKH5T+2a2Lj3xRe/bcZVClSa/ToVJeuhOyPlcPPr1zN15O2mMnzoB0Jt80WO9H5E9nsGBuZUWV1Mdma/uzE+tSo05OnT4L3dHbN8BS4AjnT589J7c4fHO43LVnL0QmJxBCbimYv3NnD0jy76q1Kiz21Ws3SJ6GC4Q+AAAgAElEQVRlZWVwGTxiNDyFnCiYg4OzGySJi39ALg8fOQaXAQOCFMzh27fvkOTvdpoTJk2D801btpFboaPHw+WQ4aHyM3Hq5BHQ/5cntumgPX/hkt/T+x7dvUghnzx9JtWwUkVqbrz/8JEUkvyEy2b7WrZOUJ4qBcpTBEGajBp5KjXs1IDKUytq3KiAa69rLk7CQ/4QuIK22qZS/lQiT2066JmDPIXFTzXJCyB5GVCeIk1NQW6xqNbROsdSNXNGe4j3rye9U1lZZWHlWqcl5PBswjduA5+Y8zXXz3gapH1w7SVsfH/y1Dn5QnNLxA5YIRSWE+3Ww7fp5OmG8AgoFXlQZmZ2l6595ET29ukPpSLVH99jBdRr2agdUNjv33OdXXvISrtm7WaQzi/vf/DWw2VPEaWY3X9j7c/M1vZnJ9alRp2gPGVLnmpoG+7cvZd8koctX0kD+/r1T0xKqqys/D29v2DRUlLIzVsj4fJ/bdTzCwpIkbT0eL+nAI0D5WlzBuWpUqA8RRCkyahXnlpLydN22mY1g1UFWlw7ba69MpAcaG5Ik9JG00RKnpJO7wjy1MDq585RKE+R30Lc5Rd1igByXDp4r1WNpWrmLB5ebUXT0tJlbfdkwLF6/fodeM9Tu35uLv81JRsC580Pk2UYOTybYcPHCoVC+gKQJMtXrGuimfvWgs45Od9AnkK9bty4bci1khWfVC01NQ1M6+5/T0G9hjkuyP9WSAJLS8t8+gyUlXbajPngnZPffvYxQHmKKIWf8bSyUmGdn5llJeWt5M9OrEuNOok9eAQ6opunN5dvAef34uLV6pKnvX0D5i9cQuigqadg/r/HUtnYOUPByImCOZhZ2UHBrt+4SS53R++DS+8+/grmQH6t0DKEhI6B5KvWrFdTTJ7CqE9yMOUp1Ou3ydPzFy6Rxw0MGg6XLp27ksuEhFe/5+mNRkqeNtvXsnWC8lQpUJ4iCNJkVM/Z1/w5Z98azGlHAwvxnG7GyFPwpxoSswapTIy8LI38lMGU56NRvcIm603RYoH+Uje0lpq2XyNPLdQNLdV/WfZU0PL2jEJ52twINJ/5/nmKLH+a9jGj9YylauZsnnuweor6nTgDTt2S0dTcqaKyEqLNCgyHhL68KcKa+f59+g6SZRitrDt9+ZoBjpXEB61ZUFhE8mwKf7px47bqgbQVlXSga/+BIXKSnDhxFuTp3QvPoGp+xtM+J2VB2lFjpspKGDJiAjwrM/0b/j0AUZ4Z/huKC0plfWy2hj87sS416mTu/EXQBTDYMCfnG7WlteWpoZGZwN6FAGti/t1OEy619Y3IpZ1jp5DQMYEDh3TU0qf517ZU5EGQysLGgUb7p71WT2/f0NHjA/oHaelya5ezbUcdX/8BI0aNc3RxV6tlqTS0DSFPcgIh5tb25NLIxIqcc/kWQcNGDA8ZRU6Yeebn55NMIiKjyPn0WXOhnDB6kVQQMpQzmPHCxctUNdJxrDD0lSlPSVa9fPqNHDOhe08fmlbHgE/KA3FIAciDSKNZ2zrFxd8HeUpCTCwEzOYi+ZAG7+vXnzzCSuBUuzwkvn/gYPLofgED9bkmzFuyqgODZ/U4xnA5c/Z8crk9ahfpAohPFxIl7Q8hpOQ0OSkGCTG1sJV1i29qTUNIX5AQEk76vc5bpPo0hLxRkGed64dKydOmey0Jrm7dSIOT98fE3Kahr2XrBOWpUqA8RRCkqajRoL8seCpXnoKJ0+Ba9zNZGWGZv92yWBkiLAuGmEZqcG3Yb4oWjbjLODa15WkHPTPS0TD4FJY9hTHI1fK0BUltlKfNkN6Gk87uvSVLBJSXCf8du4v1QiJ715yBCfWHj5yUNfK0S9c+1EgGmM6AhAuHboVAoVBoZuEsyzAGBA4rLy8n+ZeVCleM3VmUXwJO8+ix0zy+rWrNKd/EPlsy7JQclw7ee/88Bc7fvf8o51krV4VDtNePEmEAqbf+xA8vqtMuX7FWVsL+A0LABedmF/ThtnCrhfwegp0XfnyZJvPPTomZLfvPTqxLjTrx9OpbVlb26VMyXF6+eo1cTp0+S02Baft8U2u4XBL274lTZ2hXZmfn9OjVB5JIWSpdQ/6Hj+LN6MjHS+jo6jbp5dMPRnHCUVJSOmvOAmYhffr6w/Z3cBw5duL2nbsiudP2k5I+kctz5y+SstHJAeTjeubs+TTb6zdukhzGTphMzrt5epPzL1+/wi09jjEk2bs/RlbThS1fSZIciDmkJrGT+fn55NLeqbMaQ54uWrLs1es3tOT34uLBMM5fuETq/Q8YEFRU9MuKQLB4ArW6ffoFQqWg9aL3HfinvRaURJ9rcuHiZfjEhoNUeXvULrrvU53VsXPsRELevntPQ6AThwWP7NKtF8QfP3Eq3BoyPBRC9scchBBjs+reX7MuHDT0ocNHaXmgMMnJKTRzKDxpgStXr5OTtPTP9NbrN28hKyoo9x2IhTeBaTwp8qftq+q1NDKxuv/gEbNHYmIP012qFHktWycoT5UC5SmCIE1F3fJUPGG/oz7IU+kNoyQTum05vC4bLTPDLTMAct5QahJmRFgWmPF6a/Hs2G+NlotMeaprVr1nFMpThCVWjNlZUihzLNWVw3EtfixVM+dIxBWQp5Hb98gaCjpgYLUlLMgtogljNpwHvfjxY5KsIavMxVK/pmT340/dt/YsLCdaXFwyKGikCgefWlq7PnnyHJ5VUV4xrseKJSGRlRWVpNjFxcWunXvJSjhp8mywwKkfvtK3Me7ycyjnvv2HZBWyj+8gaJbCvOK+3CmsdyXSMhD/2Sn6pqzPzJb9ZyfWpUZDUVyeFhYVlZSUXr9x8937DxCSmJQESZiWqp26bvz9h3A5beYciGBt60TSisRb8xWTHKhFHRY8EiKYWtpSq/j02XOSA7WE9cpTUjDykySJi38AEcjnYZ1DCKVQRJ7KgcpT8rgvX79evnqN/ISQ8E1b1SQDfisrK2kccu4fODg/P59WjYQ8fPRYjSFPQc6SFqCtsWHjFnjc0eMnRRLVGBN7eEvE9idPn0GERUuWyanOpCkzmJ1LgELC+NzPX76IxEt+n4FbO3dFQw7Uh06eOhNCSBcfOXqcnGRlZcMt0nf0HzW0to2dM1zOnrtw4uTpcA6i2YBnSiOPGjuRWZJz5y/W2bwKylNlXst/2mu9fSfeGpT0SFz8/ecvEiDCjp17FH8tWycoT5UC5SmCIE1FnfLUkMpT87rlKc+Oz/OMsMwTa1CrzE1WWY0m3DIj0rLI2ihAm2fPfmu0XOqXp4aWUvJUE+Up8rto5WOpmjknd14H4bg+PEKWXhw/cQZ858lIzaEJb519AgmvXL0hS57qG1qB0CRffc/tv01S+ZtOLy0pB11LfvbuO0gl/pTHt90Wubt6nn5l1abZsb0kL17+d7EXKC8v7+c/RFbaocPGgDzN/pLrazQVancm+iYU8vqNW7JqB5tNib+QF5b25aE8RVRJPX92OhLfIv/sxLrUaCiKy9PS0lIHZzc1iXICsUUOmEFPLdWqNetPnzkH50vC/qVPgZ2aKioqSEw1yTxomLpOR0Ru3bYdUi1dVr026LgJU6QslSx5So4Jk6ZBCAxmJEfgwCH11r2Dpt768M2EwUNDGtF0VJ6+evVaXduAhFjYOJA6kpAHDx9DHAXXPKXyNCMz01LgqCYZEZmW/hk+/GGxBRCd5y9cgiR/t9M8EHNo4+aIgP5Bcqpz6PBRkmrEqHFwSUooYujFqB27yWVeXh4MX6XdKqrxobBeKrhUOi61k3t35nsiqvGhc+ZVrw5hYiEw4JnCb6V5CxYz+05UM6wVll4VMVyqFArKU2VeS7oDGGl/CCHtCV0DclmR17J1gvJUKVqfPBXU/ERaAKy/TohcuAJNns1PeVq9W5Rlx5/ytI5p+1Sehltm/DShYpGatdFKPKpUEkJPsqhjhRCmbyU5bBfL08Da8hQWQoVVAmqKWsddZhxcO1UWsuRpe4k87SiRp+ogT7koT5sv5Nvyi7j3LZKE+Pc5GXkiGYewvKIFj6Vq5pzYUS1PN8iWp3Pnh8EXuaTX6TTh0ztvQS8eOSpzvr8Bxyo9/Ut1/tP3Q8JR7ksL84ohMDk5tZd3oJL+1MjYbueufTBGiZTo5f2PMPt+gOWsrM/i5erIF/KgIaNkJe9fM672e1a+n/E0KOSelaeghC9evNQ3tKxbnvYeAAmLC0pQnrLFmeibrH++NRFvniSVFpXJ+thskX92Yl1qNBTF5enlq9doKuooza3t1RiWClZTJceFi5eZT4EZ33fu3qMh4ydOhZhmVnbk8tWr1yCkmDO4YSs8RUae0qnrI8dMgDjjJkxp6qaj8nTh4jAa+DExSfyLJukTXDZUni4OW0EDFy1ZBoEwPvfR4ydw+e79h4jIqIFBw+tcN1aKlJRUEWOm/OhxE0WMWfneffwhz+49fXjGlnCekZkpkjjNNh20YVTvpi3bSGTSNaWl4j+HgEmEmkJkyPDGf+JljmAhAsK9uHhySQLJ+Z69+2lkULEkE/jVBouW1kZBearMawkL2pIy0LURQC6TA9Z5UOS1bJ2gPFWKViNPf5VuXOTPBxVq80d18lQ8E98sY71JZrhF5hqDjHX8zE3WmWu5GWs4GeQk3DRznZF4dv86fsYG81+8ap3yVCz7DK3/0jSp3iley1SDI6BuVFOyI/xfmqY/d5PnWLXTtfhpWpFfqV+eGqA8/QOIWnpM1IqPnctPsN4FrZBjkVfBEm7ZukOWxAxbtgbk6etHSTThi7j3EHjw0HFZ8lTf0PLjxyTIf+eyn/27df4hYZkQwr99+z567NRG+1NHp24xMUcra/azSn77eZDNHHjKYMGc71li6SAUCgP7B8vKIXBAMLyBudkFVJ5unHkAMkxM/KQnQ5727jsQ5GlRQQlO22eLVw8T2fvQYvkoKSob12MF612gQliXGg1FcXkave8ATbV5ayQEwjBJaqnoUVBYSLctotPJyadcUVExABqOHP0CBqrV7GH1MTGJWbb/bt4WKSBP6ThKQuDAIRCHjkVtOqg8DQkdQwMTEl6RkNTUNLhsqDz1CxxEAwcMHgaBMHizt28ALH1Aj/Ly8qPHTxrwTGWV0MjEikRLS0unIXv3x4hqzKCaZPgqbCe1eu0GqM6Hj4nbtu8gJwdiDvXpFwgP6ubpDfFhIGpc/H3IWSQZs0l+pqSkdtTSJz0lYgzthIGoJLCDph70FIkMv3FMLAQwif76jZuyCq+gPG30a6nGWIaVvpZ0kv768M0KvpatE5SnStHS5elPW6opjQ3yx/JLVzJEKuvvG/IrUvKUo9TI0/0j8q7N+H51VeGHK6XxS/N2+n5/e6n0/eXSEwNyYsblvTpUvJaTcTeq6LB/1ibrLPnylGDh2vvMhSuGxva65u47Dp41s3Zqr2fRTs+SlLmjgbW2aafr105qcSw6Sra30jYPWL54RVs9q7Y6ZuqGNh31LUk5O4h/2nTQt+pgYNVO11yjFatVufLUHOXpn0Irl6fkGO2xjPVeaG0cibhc75qny5avBU/66mEiTXj/agIkPHf+suyRp9aXLl+HGfoPb7xiPnfjrJjKimrjSe4eOHBE1gBPWZDS2jt2zcjI/FFzkHyCXRbRR4x0X1paLP46Sr6n9fTyl5XPkGGj4RtpztfcfvyptHiQZ1JSsp5B3QXr6zsY1zxlndYsT0WShXpZ7wIVwrrUaCiKy9OoHbtpqk1btkFgbUsF8/FFjOGNdL3Lz1++nDt/UQrYnh7mpKekpDLLBkMX65Wnr9+8pUkCBgRBnN8pT4cMD6WBSspT/8DBNJBOk5+/cAmEWAmcSC/AyEd6PHv+4n9t1OssIbQY3eJJrcZIMveaPxBziIQ8efqM9Bc52bl7b/9BQ6EvYNL614wMGhkGrlZUVMyYPU8kGQOrpceDORMzZ8+H8gjsXSCyiYUAQqZMm0XfKFhXdPbchZCK3JLVvArK00a/lgRY8JS8YLVfy8lTZyr4WrZOUJ4qRYuWp1LOVPKNnfMTidARaFSfIH8GzB6UcqloUZsdKpWnh6flx4Xlpr+rOOSTHW6WmZVRedg3O8Itu7yg4uzywvzPFTfGf3t+sfTUsOx65am2kZ1dt8A7dx8O6Nu364DJF2/GWdg4DRg5Y9zk2drGTmOnzRsYOjnu7vleA0d7+/gPmbRw9KQ165avMnLsPWnWkoDAII9+IzkcixETZxvbdB0UNHjkhJmjpy50c+veaoemypanpihP/yBQni4avo31XmhtHFh/DhxoTOxRWQ504aIVIE8/vEilCY9uu1K9Sf2bd7JWBSXMmx8G0b5n5Q+wmkWT+xhM3DDjQElRGfWen5JTVq4KNzFz5PHr0abkcX37DT5+/ExJSWlN8h8fElKDnRcyqybZnEpctYKCQiubzrJyoxtGpSVm0nUkdyw7ATm/evVWltUN7B8M8jQvp7APtwUuQPlH0MrlaXmZkPUuUCGsS42Golp5euv2nTYdtI+dOCWSbMIDi2MScnNzScjjJ09pDjxjS+Z8bdjrSSgU6hryIaRtR538ggLRHy5P6Y72THkKO9HXKU+ZKwCsWRcOgcNDRpHLduq6ji7uppa2apKNjEaPmwh7x4tqlj6ozY6de8jdSVNmwKU+10T0qwwlgColnZWdnQN10dThwMqtELJzVzSNrGPAh1uZmVn0lSDdSiPTRWwBUKUQGbopfNNWGpn82mKOA5VChfJU1mt59twF6AhYI5VA6k5ybtBr2TpBeaoULVSe0tGmkhm44nMbrWpzKtDgSpDScMifQLVClfRgTaBEi0N386g/Zf0NRCT8Ik9tlJCnmZutMg9Ny3+0Li/CPScjqfL+v7lFORURdlmbbbPyi6oubyl6FFFQWilKii87PVwheerQc9CBiNU7Nq+bs3Tt6BXbzG0cRkxZsv/0NZeuPSO3bWmjK4h78Dhy8xpr98F71i3nOg9fuyp8+6nrbTvqr4k8NGj4lNAhw45evDxx2uK+PT0OHoox6ux35sguDfI5w3qbswHKU5SnLeAoKSoLMJ3Bei+0NrYuOAyW8Nbte7Ic6Jx51WueJr5KowkXDt0KCclXIwsrV1lqskdPP5jKVyGsXD56h9TTFw3flvL+C+xrD0duXv7efQeHDR/r7dNfYOduZGxnyLXh8GxMzZ06u3n5BwydMXNBwsvX5CsoiEtxAcorbp197GcynZnzIJs5xQXVavXQ4ROyvDBhQ/g2iPbyQfViqb0Ya54+fy5zzdMRoROhWTLTv7XI3Xv+CFq5PL1z7inrXaBCWJcaDUW18vTfVWvVJGoPZnDHxd+H+DGxhyHCyDET1CSrZ75IeCmSLH8J3mrBoqUQ4ejxkx009dpr6EXvOwAhTSdPyaNhmCHdfr1BKCJPXd26QZz9MQd1Dfngi2GpTZFkaU6QoVSefvn61drWiYSQn1lZ2SLJME8dA76VwAk+q+PiH7TpoA2ZHzx0RCRRkHoc4zqr8/KluDC2Dq5wOWiIeIGX4ydPM2vRTl0XFjYVSX4ZgSW8/+AR/Rfa2zeAGR8mrcMBO1Ot27CRhqxZF86MHLZ8Jb0VGbWThPT1609DSF1ozB69ekPhyQmEqFCeynotx4yfBBH27N0Po3d3R+8jl/kFBbBSgSKvZe2SkyKRS1qw2hFaAChPlaIlytPqNTF/DjiVHrporYG0BH4djsoYhYr+tLmgGnmaSYgZmJsYV3bSPzt+V9H93cVZT0rjDpW+P13yJLYk8Xjh6VVFTyMLtnrkFOZWnRyavcmmfnnq2HPwuf3h87eeWrVoXuj62K5+o3dH7d5w4IJrd58tW/7VMHV/9vi/3YdOBwVPvHbp/KTFkVvXbli47Xhw6Pi9sUdNbbq8+JAWMHTy3fv3/08bg4Ox0dwu/S+e2E/qyH6bswHKU5Snf/pRWly+dMR21rugFTI/aAtYwvz8fB7ftk5LuHFTJJjKhPgPNGFvw0llpeUiyTfGgYNDZalJvon9h5plT4sLSl8/SoxefZpuak/wM5l27dh98KeQGzkqKytLS8sKCwuzs3M+f/7y5UtGbm5eYWGRUCisYqhWclqQWzTDf4O33gSa4WSf1Q+uvcxM/wZxSktLLaxc5AxivXX7nkiy09S14w9oJqsnRcODyHNlpV0athoe8fFlqo/+RNa7snXSmuVp8tsvQXbzWO8CFcK61GgoTSFP1WoGGIpqRk2aW9vDeD2RxA/S81Vr1kP8Dpp6iUlJEFheXg6SC7abbzp5Shdj3bs/phFNp4g8pUM14YBtrLZEbKchpI5qDHlKfnGQz+20tHT4bUKO9Rs2QVZHj5+kDXj12g3aXDGxh+usjpYul2SVk/ONlg2WBKU7y1NOnjoDCV8kvIQQ0i8Q8v177t/tNJmRp82cA7dI5qR2aoxdp8jh6taNGdneqTO9NWDwMBLSXkMPOpccc+cvojFrd67K5Wnt1/Kf9lrPnr+AkLy8vK8ZGXB+916cMq+lVMlrR2gBoDxVihYnT+vSptxfnakhxQp+ir/V/8QaaTZYacjpGklvatZYVPSnzREVydONVpk7PXOODfu+wTQzNuj7yTG5EXaZG8wyDw3/fnzE943mmdu750T3zA43z4wd/D3SWRy/3jVPDSxc3bt5Gdl5mtp0snD31eHbdus7xNXTn2Pu7Ojuqcmz7+Xbn2fX3dXD27nn4M5d/Rw69dQ2du4zYKTAsYsG19az31A9Y6cuvQLb6Fp26tZb28zFvUcfnLaP8vSPZqj9/Nn9N7ZI1kyO/pqSI5JxfE7KannbRv8pBJjNqCgXfzsl3zZDR06qrQgNuVYvXryCmfUXYu4w0ya+TocvgRvCI+pck9SAY+XRre/p0+cljlEEupNQXFh6/2rCxF4raVYTvVadiLpWWlxG1Si8G9ST0rcFSkKO9KTMTbNj+1vMhBz8TKYf3nr5S3JWVWUVPEj8xCpRSkranLlLzSyc6hSg1oLOxcXFklr8WDl+Ny3PIJs5tFlmzlpYZ+1Is0DC22efsN6PrZYJvVay/vnWRBxYf768TCjrY/PKkfiWN96ZdanRUJpInmrpcmGznbS09PYaehCHOZ6R3F2waCmzJORBt27f+f/snXlUU1fb6P+5d33fWvfe733rgMyBQOZ5TgiBEIbEgVEGZVJwQEVEFFBEQVEGFRWcZ6tVa7VOrbWt1arVt7a2tlbb2tGptY6t84ACufucnRwOSRgkQALsrN/KOtlnn332OTlg+fV5ng33PnnyFOyFZ+nR8pR8r4zm6qVSRSAspmnElzDq5+JJyNPpBTNhFjx4PX36bGnNcqKeqYu7T9mCKmju4Ov+/fugwyAPX5uXkzgiDWy/f+gwMRM4sjo4zOJCxo6fBA9cuXodbBkSGQdbCDNLwOKK4T9n57+7AFvABOBKVuSrJoAmEfx7R/FjwRbiWyZXG+geeWr9WFLpnHf3HSAEd11dHbh7nj40ex5LJE8dDpKn3YzNgFOyM8VUaRM0iBjh3Ji/KdJ3Z2FRmytUVP/UOei8tH3wvlKKyVAsqlR2Z7nkNrEN7eoKvGUlvouolApGaEmeemPxp2BDiX1kK8FHX47Sh419BO1gGr6mbaUJ/BBfDjYOtpejgoeAbbCXeHf8PXcESJ72DnnaW6mctOn50zpjC69Pdp/pfQqgZ/Hbxevwz7lLl37R6iKJZaPAhkgStOudfURZUovoYPDdwVzICxe+t8iLZ3EUQ4YlHj124vmz+r+uNv520Xj+lPH7L4xXfzbeu2VsqMecY/2rhjWle8hBo8mSoi1VB388d/nmtbvPn9U1DzLFPj34+/GVSze+PvHj7LSV5APHBM39+fxV2Of5U+Ofvxt/+sb49afGi2eM135uvH8XCyBdUF4NLoe8KBbYXly9Ao7/5OGzBG4++eq++/xneFtu3LgJroV8lECkefvtd+Hs6usbysauc/iXiOhNxDDyDu843dLvzLoXL6uyNzt8kl2Bw6WGk8PgCHXhQ6SKwIFuFJsdOHypNtTg7u3n8Kl2Ij7+bHBRbJ6EaOk/yEuuClIHh0H1SchTmCMvlquDQiLICo+gn4snVyAF9xAcbhETakGYfti8+RXkVPHZJfNK5y1oaXWpvoyXDz1Yp1cHhdq852/00sfSHpA8tYveJk9bM6cSKi/Ajxfox1MjegdUrqo1f4o9Er3HzvRI7JOny8W3ySa0A9SKb61rQZ4iOhEkT5E8dU76rALoWSzLf4uwlE+ePNm958DQYUmBQYOXLFl589ZtuKuhoeHLoxcjqVPIB85KWUHsTRyRQQpWlVYtqnnxvO7XC41LpzZWjDeWjzUuGIMBNiqzjNsWGp89wYI6X72s/2TPGYtho/ymxDGnjRDOmBhePjOpdk76qtlpK6fFVGcEliRw82PoUy3mnyqbde/WAxhq+sUR4+LJxopxzc84oXHPysaXdQ13794LDY8m5ikUay799Auc/3tvnrAYdm7Gmvp6032pq3t59uy5nNwZMXGpK1euv337LjgdDAjqZUUnEQ5njKb0yqUbLf3a/OP32704Tt/hUgPRE7GQpwiEk4PkqV30LnlqDju1Mqfgr3Q/ntrR00N0Pn68QEzH0KXmr7u5mulFdqZH0jF5ylTQWNql4j9qxTfN3Hp9TAeuFj/gsIaaIkwRXQOSp0ieOiF9WQH0LKL8pry77pNXL+sbbb2gIrz60400ebHlgf65v+JRq+D1xZdf8wQBMOZ09ZpNz5/WH36rsTILc5fWLBhjrJlmvPS1sbGhse7Fy2X52zs8+XTl7D9+v4UVP/3H+HaN7dPBM64pbrx5tfG33y6HhkXD+NOU1HF1dVhM9MsXLwvil1qMHEmdsrF8/4vndeRirBavG1fuZAaWOvwbRPQaKidtevb4eYtx+r0xVZ+Mw6UGoieC5CmiZ4HkqV30InlKVDu1NKfgj3Z/fiD+F3vv+VsdgYMpGyo3wJMmJsefmoNPFYPcjP8AACAASURBVBRU/NSxdEieAjyZkgjO9MWiy8vEf9Z0FHDsYtGVKO48L6YU/ex3KUieInnqbOQMqXr84GmLCgCl6jsZ0bTcPWs+uX/3kbUffFX36syR7yzWsieYP249tK7Pnj0fHp/OYMlS08a/eP7yyNuNLXnMJqGZafz5Wyx/v+7Fy43l+9eW7lk3913A+nk4ZXsBG+ZjbFywD6N8/6YKE5srDmyuPLCl6uBXx39oaGioe2HcuaSN00FuXW/85pvv+EK1UKy5fv1PGHZ69ee/Ylp4IGsKt9+6fs/6toA5f/HJhXjO9I7dcATCGvBg9/E4fYdLDURPZPzEnMuXrwDgIu8IhJOD5Kld9EJ5Sg47xc0pgMbX9Oi1XHrQzLt3qpiy8eOpPfzFphWlmgefopWjHExH5SkEW+rNbojRHH83ei9IniJ56mxc+uZKX1YAPZTRAXPeXHjw/t1HcEWmF8/qPtl9ZlJEuXWmPEEiv+DezfvQJ16+ck2hCnv06NF3/2nbnEJq842vXhElTTvygqf+aGe7TgfYWgnO+Cpz7OSFi2rgsfWv6icPrmzltowQzliQteHHry/Xv8LO+Oj+k8PbT4FDWrktCMTrkiwpQnH6DpcaCAQC0dUgeWoXvUeeYn5EQap22mROwd/tUJ46fpIdQd7c/sidGEX3iyqzPBXhS0hJmgWfsmRInjqYjspTSpOFV9qHgtKj/t9DDwXJUyRPnY0H9x5bK4BrP//VRxRAjybKP3eEcEaypKidcnBB1gYi5f/b8xdevmzcVNZeebpgjPHwW9gqUld/Ml65ZMWPzbgM+MGS3783XjpnXJbXXnkKzvjDWSx5/86du1Danj7c3qKlsYy8BG4+uD8O/44QvY8ZSTU2zenHuz7vO3H6DpcaCAQC0dUgeWoXvUuemnL2vUkJ+3C5dv8eK0+hS/JhK2XBUarQOCdHro2Ca453292G8tTdT+hJk3iSgk+9e6Og6XnYIU8RPQgkT5E8dTaO7TtroQA+6ksKoK9x4sBXRD77o/vGlkqdtmQz52e2lwVWmBrHvMYZty001tdjzyRWbeDx80kR5Q6/gQjEcNY0i//n9LLuVXXeVodPrDtxuNRAIBCIrgbJU7voVfKURRQ8hfJUggk1zNSIeq48hasecWQ6pS5OERIr18YoQpwUfG6xfGVEd8Z7kuSp2CRP6aaVoyjMHhZ5ihVp7eyeDgbJ074BkqdInjobKdKiP367BRXAk4fPFk/tWwqgr5GhLnn25AVcX+riGcxmtt+ctl96dtY4q4qML55h5vTVy3p71qpCIDqX0tGrX9W9gr82r1y60Qfj9B0uNRAIBKKrQfLULnqLPMXDTlny5jn7Uhh26uEv8ucHWhgZ+NGXtE2MA9592aYKqoR6M/VhK7xZiu78mx+6JLbUJE+dHDBJniK82yNPA9z9BPh3LSFXPnVmQQPtJ/FuDxajORdInvYNkDxF8tQJSRIU1s7YUVO4o6W1hhC9iXlj1j5/+sJoNH528DVU5oLOMKevS22+8eljTJ5+8cmFOOY0h986BIJgUkT5xvL9s9NWOnwmDqH7LcYAV++o2ERNSLi7t5/DlQoCgegLIHlqF71anko8TY7GUp7ia9HI/VlyBUfBZCm8zJ4UW+abIWcJJXKliMppWmoGX4dK7i1VeavU3qxuLeuJX5eCLQ1pXZ7KtVjgpyw4GoZ/wo/SoCi40fvlKVVgFjRSUuY+FolMcY7g09Y9qT3DtqRTncKlInnaN0DyFMlTBMKxxHOmX//tVmNj4+eHX0eedl7kafs97PIC47PHxoaGhplJNQ6/bwgEgqD7LQbFjwVDfR8+epSbV+Bwq4JAIHo9SJ7aRW+Sp1iaNkPeJE9pEsLRkOUp/KNdxVVeD9HVh4Xe0IVG8JQU0+re8nAd7499//30yP/6ccf/4YklplKqNLnPJL3v2VG+50b5rB9uErXd8pe/TXmKKVHwHhKj1IH3WIUWaxSqho6bPEscGInZUtBZl1BStjQgtPlR2hhlc+WKGU/4Ed8r1/ZIeepGFWBrRpky9yWWZU8dJ08tbObrOk0fNkYHzugsFhXJ074BkqdIniIQjiXKb8ov311raGi4+pOzy9N1c4wvXxgbGhrT5MUOv28IBIKg+y0GIU+xIrMvXzI4QoeLFQQC0btB8tQuepk8JcwpLHjqgRc8tZanLgz5x4Hae6Ghf+P8ptV5MeU+LDmdL72x/79vHQT8182D/72rwsWNpsA8aaDa92Sq76k039NpvmfSfUqGdttf/i1Fng5JnRIZn54zs3xo8tShCeOKFyzThsYsWLq5sGRxkDZy8qxFE7Lyc/JKV+78YPq0gtTJc6fnFyswVTq8sGz56IwJqZNK51fVaMJTp82pLp6zYNaC2pjhaXKzTu2B8pRPyFNP55CnHYkwJalSqE2tgbsobRnVTgxutQskT/sGSJ4ieYpAOJx9G441NDQ8f2ZcOrXd3nOMcXm+cd86434L1ltyYENzNhoPmtm75jWWqFow1njoTcyc3rx21+F3DIFAkHGIyKBQmbNmz4X+NGlkusPFCgKB6N0geWoXvV2eYjn7Hn5Ci7T9QQz5Ra3uXmjoP6Gh4P22TufLUlDZcr5E/ODD/33r4H/dfu+/wPvZTf/jQcfkKSU2xPdMOmZOAf9J81kT5013bNp+jDY+p3TBsrf3HiqrXltRs35u2aLy+WWVi1Zrh46uXlZTtWz18JETdu04MGfVttRxU7dt31G78R390ITErFnJSWn6kdPmllWGJk7NnlxWVlk7a/nbUYmTZsypEGuie2javhuV7wm+aLzsqcPlafutJVmJdoz2jOBIi4rkad8AyVMkTxEIh5Olm1//qr6hvnHX8vaGlIJul84ZGxsaG+yg7rlxXclrhKnev4sd9fGuzx1+xxAIBBlHuQyuQArl6fiJaNEqBALRtSB5ahe9Wp6aCp66+1lGng5iyDergv7G5SngTFAIjDylsmXfbfu/t9/D5el7/7VwqhcWecqUe/MUvh8lE5GnlHHhDk/bFwYMW7l577D4rHUra7KLF48blx02ZGTtqrdSxs+cWzwjelR+9YoNW7bsyV+4ccLUotpVq5Mzc4fEZSRkTC/InxmdPGXR0jUZ06tHZcwqKC7PrdqojUjPn1Uu6qHylGuKPG2Sp3jZU6zmKaP75Gk7M+VbEp1WQaZyW1hGobZ/fMfEototT5vVHe5Frq2XgeQpkqcIhDPw+UfnGxsb/7ljrM5pl8fct87YUI+t3fT8Wd2zJy+ePn7+7PHzp4+eAZ48xHn07PHDp48fNPHo/pNH958+/OcJ4MHfj+tevGxsaLz2S3vN6WfvYaerr28oGlnr8NuFQCDIOMpl+DN5UJ5mT8lzuFhBIBC9GyRP7aIXyVMZWZ5CR+PZgjwFf7TTWfK1yqBfQ3Q7AoIZrCY7Q+dJd1W4fL/9/y7J96SySWtGhWl830rwfW8EZXy4N737VE6LNU+Do1Whw8FGgC4OvAcZRii00aqweI0+URocEzQ4SRkSGxger9DFgXdlaLwmPB7sVYbEBEYkqUPjQEtQRIJcGwsGAe1gBFVonP2rSzlentKb5KkXvmBU98jT9nhJm1qzJVXqy7H8aNFC1qntPFc759mZdIY89WLK06fOCwiOQPLUaUHyFMlTBMIZKExY9rLuVUND468XjFUT24g5XV9qvH8XW7jp0jeXh7M6uOr94qlbwenA6+zRtsNd364xvniGhZ0e2/tlJHWKw28XAoEg4yiXMcjDF8rTwqLZDhcrCASid4PkqV30LnkqbyZP6eAvdihPBRZp+1DQuON/vXs2BbWZNjwZ2LY7rXnUGwMH9OlGc0ppueYptJzkd0VIDHkXOcff1I5j0dM8gs0DOyZPwxwhT3m4PBWRI0+7R56+ro40q1KFtSHtMM3HsTyd/XPuOHbKUyZ2ObyA2M92r6fxVEieOi1IniJ5ikA4CSuK3q5/Vd/Y2Hj/bmNtvm1tWjHeuHOp8dVLzGP+ffvh6IA59pzxwObjDfWYQL32i3GxrYhXcMbK8cYjb2Mxp+CMVy7dSOAVOPxGIRAICxyoM+7cuWs0Gt/a8bbDxQoCgejdIHlqF31Angqt5SkFxp/a2JabXZulIW0WuNqNl9aSPHVanESeene9PH1NZ9qK+pS1BNVMK31aGblzL6Ej2B95ylLEjZ25NDvLky5z2LJXiLZA8hTJUwTCSYikTnlrySFYjfTJQ+O3J41vVmDusmy0cX6GsXoKttzT5R8xcwpet//8e1pMtZ1njGXkfbjzdD3uT+/fM549isW0VozDz5iJLUh1ZJfxxmUjPqWGn769khlY6vC7hEAgrHGgznhn97tGo7G+vn5BxUK+WOFwvYJAIHorSJ7aRe+Vp9LW5WlPAcpTmkCjDo+HgaLOjCp0OEMU1BfkKVHelNI8uhNuEy1go3nGfVML5ka5Ml8udKBYCxXCleHIbYO5VKwbeRAqaRAirJUUkdpsbjavpav8aWcsGBUeP3lLRa4HTdo9TxSiAyB5iuQpAuFUVGVvvnH5DlSo4FX3wvjgnvHRfWN9PQz/bKh78fLcyR/H68o664xrS/f8ffshccYXz40P/zY+fWRsbIDatPHp4+fH9p1NkRY5/OYgEAibOFBn0NmCb89/B5P3582vcLheQSAQvRUkT+0CyVMnB7okcFF+3ACGMIgh1DgxQf48NbjzvVuetjNas4VKptaxpU0+FOJH2raGtJcISrUxrK0o1NZuQlf5085I2xcGJh3cPNOVKuqhP8J9ASRPkTxFIJyQzZUHXjyvw9wlHhbaAF712NvVn//KH760K864d91RvOhqQ73pjNipAd9/+dvY4HkOvyEIBKIVHKgzxHL19et/IHmKQCC6GiRP7QLJUyfHXHQVF080fBUs58UkR3qxPG2POW3LmdqwpX5cmQ14zbHRx+RSyb61HRa17avrtC+oMyJP/QTaAx9/EqjVo7R9pwXJUyRPEQjnJJaRNzpgzsSI8ilDF+YMqcrSzU+RFEX6deFiTXHMaRnqkknYGasmGyrHBs9NEhQOozr+ViAQiNZxoM748KMjRqPx0ePHozLHe/nQHa5XEAhEbwXJU7tA8tTJ8W7yp1AFOjnEVLvp/nSbPG2HNm2jninhTHFbKrcwpP58EgIc8obFNl/mx7chVUlOto1Y1JbuSSdXQbVfnuIfB3iy3fwlPfRHuC+A5CmSpwgEAoFA9GgcqDMeP3liNBrXrNtAtBQVl35w+CPAQDcK+EjxY8GP0/Jnwg5gA7aAXTY7IBAIhDVIntpFn5KniN4H+MapXS9POxBwajM3v1mQKQ8XoM2FKY0vowmkbdGWRW3K65e36k/buNhO+MFkdkLkqekj1k78sLdr9TbiIbHobH1UUzers5v3tn26vow3kqdIniIQCAQC0ZNxlMvw8qHDhH2y99y9Zy9sdPWkgo8MjhB+3PzmNtgBbMAWsMtmBwQCgbAGyVO76CPylC4I8mWrEL0PH5bSn6fuUnlqtzYlOVOe2ZZCVWr2oXSA0ASjLYiezXSqTZFqK5e/PQq10+JPO0OeNp8YtteHpaCylFSbPpQp92RIKeZuvoQYxd9pHDU4kDgFeYPCVOJjKq2VK8CXG0ATqPEnqvf4vk4EyVMkTxEIBAKB6NE4ymUQ3nNSzlSikZCnA1y930DyFIFAdBJIntpFX5CnmKPxE4M/5v810B/Ry/h/A/w8/ERdJ09fK1XfVoZ+U24+dKZNwpRQpSIMpkjCag6bBEuMY97FNIEfazaqxMgmkcqzTue3rVDbTOHv+A9mZ8tTeM/TtBO36fM2R4x3A6NhJk7uhQO2B9JEk7XZ/fx4PkxFdEBGrX48HNCTIR1EE1XFLvwgsdyFIYOOFb867CgvpkynGrczZvHBpEpP/NdIc38q3bLr+KqaxS6+Qkf/onNSkDxF8hSBQCAQiB6No1wGTySH3nNcVja5fXbJvLt37zlctSAQiN4Ekqd20TfkqcCLJiX/YY/oNfzLhebpL+4iedq6PWwp4JTKlZm0KadZbj6N3xRkCp0pk+RMTZ5UbIHUDKkR6tRmItVkUTEhC/2pgBSI2g5/ajMEtRPiTzs98hR/F4uGxUuHDpUNHqYcczRt9dYhU/TK0Z8mr/lx7JsTwguuTj54IKWWzQ3alryuTJfoQRcXG0o/TV2l5oLLD9kbXzmQIZmgK/g0bU2mTB8fmP1R6toCdSyHr49SJowKHOFO5VfVrlcq1D6sJnm6bev7Ip6cXDEA0fxRQfIUyVMEAoFAIHow3W8x+rl4hoQNrl2xGsrTuISRxK4Aje769T82bUFhpAgEojNB8tQukDxF9Gi6Tp6235ySA079yNGmfFM2vZUzJQlTsYQDkEi4AKmEJxVzpWKerEWwvVgf7BAAoVMJkUpYVJtRqOaQ2JZCUF/7PrRBp0eemgvdejCxcFG9ImVpVPGNCe+kaHLWDcnSKUfT6fK1sYv+24fpy1IESEZsGjx6AD1wY2TBv/2FPuAS2MHvDq/4Xz7sz0ZtKI8sOpJYlhKcvSGqNEE2BIzmyZB6YI+NTBRooLKbRZ5u2/a+iOfw33LOC5KnSJ4iEAgEAtGj6X6LQfFjGc2vJ0+e+viziV37Drx38L1D7t5+DlctCASiN4HkqV0geYro0XSRPG3FGLaap9+0GFSTNm3uTGHcqEmY4iaUJxPzAXIMAUDRhBBHYIHc1JkPjSruW00i1RyU2mRRYS4/3xyISopCbX8Kf8f9aZek7ZvwYAhrYhYvCJvwZ9bOVM3kqtCRvizlQJpoeczi0YEjWZzAqfoZhxNn+zPkuxKWTgjKELJl8ZqMk+lr5FzlxthFk4MzspSx6YHj8sLyP4ib7YW5PGxYdyp/7qKVcnmAT9PlS7dtfU/IRZGnLYLkKZKnCAQCgUD0aLrfYhDy9MdLP8UnpZB3ubj7OFyyIBCI3geSp3aB5CmiR9MV8rRVV9iSOZVZBJwShU3x3HxpU5ypKcgU955QmOKGVARQAkQAsQkxCVOjyESTVAUj8AiLag5HbQpEJXL5+dKmRH58tuQQ1HbGn772D2aXyVOikinY9jIv8WRulPmyleDUviylDwvbcKdLfVgKTwZoUfhgyD2wRaUUHnQs1BS0uGNSjzyCFJY9NZ9L8s47R8OD9d6kRoTF14HkqcP/NUcgEAgEAtFhHCIyWFyxqyfV4T4FgUD0EZA8tQskTxE9mk6Xpx2LOSXKm2LFRs1J+tCZskihpqY4U0KYEqpUJZKoRNIAEzK1ECBvDmwk+oD+4ChCpwoVpnBUmNrPlTSl88MoVFMiPzkEteUU/lbiT1/vB7MrI0+b2TfzUfjhptkSuyhMc/+miTXbRWEqSKpUTu4M56MdljY0doQHTWrP4mO9GCRPkTxFIBAIBKJH43CpgUAgEF0Nkqd2geRpN0hV5G27js6Vp69lTpsWhjLn6dNIefpMkjblmnPzTZn4uDCVmISpyZMqAoXKQIFSI1BBgoSAABIqjRDuwroFCkB/zKgGYDqVLFIFhEXFc/mxQFQrhWpaTopnQ6F2cv5+V8rTbsPCqyJs3iIkTx3+rzkCgUAgEIgO43CpgUAgEF0Nkqd20ZflKWjpZhyuGnsfnShPX8+cEqn6VuVNiST9Jm0KQ02JIFM8thQXpiZVGhAkCAwWaLQYQVp+UAg/2BbYLi0f9AGd1cGCgGCBKgjzrcpAgRwLShVCISvGAlFNFtVUEZUchUpaSwrzp7zX8KdOK0/hIT5spRO6174AkqdIniIQCAQC0aNxuNRAIBCIrgbJU7vo4/IU/IXvRZNx5eFdiCzc3U9svzztFPfa0jQ6S+y2NLj947c0SKfLU+v2Fsyp3LQ2FJ6qT8NT9bFVofB6o2xzkj5cA0qoEMNQUymuTbEgU40wIAgToJpgQZBWgLtRnhag44XoeDqcUBI6M2Av6AN6gv5BIXyNlg9GCAzC9KtSg4WjwlhUscqUyy8wV0Ql10IlFpIiV0HtEn/affJUJgqJqSifRWGhsqQOAMlTJE8RCAQCgejRdIWncPWkEgx0ozjcmyAQiD4Okqd20cfl6b9dGdKgKLk2pksRqYf+z0C/TlGH/T1YHaafO8tmDCxpcLY94//bljwlztjfveMjg4m15E87S5625ARbM6fNY06bAk7x9aCIJH2RWZvCUNMAjUCNx5kGaXFharaiYaHc8FBuRBhHH8YxhHEGhwO4gCH4O8CAt4O9EXjPMB2XcKkwKFUTjI2M5/UL8UBUUy6/UCkiaqESWfxNKfyEP+W2y5/6sF/Hn3aDPMX7D6Lwiua/qVZo8F8FvUfJ9RSQPEXyFIFAIBCIHk2nSwq+WGEkvXbv2etwb4JAIPo4SJ7aRR+Xp+BdFhwNFaciJLYrACNLAofZKU8h9lghb/x9oBenpeBQdz+Rt7lbxwYf5CNoaXBXH4GdX7EnTdJ1kaftMadUcrY+ucipucIpGwacSk0Bp0K4GBRe1VSO1zMlcvODddCZckNDueG4Dx0czhkSwRkWwYnUc6JwovXsaAM7xmB+10OwXaAP6DkUs6vYseGh2DghOi5uUXlBWjyjvymXH1O3RC1UWAgVriXFxP0pplD5Uv/X8aet3DFLuivy1E8aunbz7oHunE76fYJ4PZA8RfIUgUAgEIgeTadLCiRPEQiEs4HkqV0geQrlaReZ086Up25MoqRjh3GjClvym5hwtG9wD5rk3y40m4N72j04oKvlqXV785hTOTnm1A83p1iqvlAKc+HZWIVTCQ8POBUpRDDgFK4EZdamWKhpiI4XGsoLD+XqwzhDwjENGhXBidZzYg3s4QZ2goGdaGAl4YxoDmhJxEkwsEDPWMyoYiJ1aAQ2jsmimgJRcYWK5/LDRH5zIVRsblgIqjmFnymSwhR+GEJr9qey9vvTNn4wuyfyFPz4c9UrN+0ZMIjp6F9EfRQkT5E8RSAQCASiR9PpkqL/IC8GRwh4+OgRkqcIBMIZQPLULpA8RfK0j8vT9plTy2x9zJwKTebUIlUfBpzKAjBtqtLghU2xqqa4NtXxIvA4U8yZ6jkxJmGKidGRBmaygZlqYKQZGOkGxigDY7SBnmFmNPYRawd7QR/QE/RPMovUGIPJohrCORFhmEINwXP5NXgUKpiDQt1UCNXkT/EQVGIJKawEKhF/2mL9Uxv3rQ1/2j2Rp1jaPn/23DcH9qN6mxePQnQnSJ4ieYpAIBAIRI+m62zFw4cPkTxFIBDOAJKndoHkKZG233XYL0/x8qx0D38xJgQZHZKPDOzm9Pdgt1Tz1NVH4G3H4ICB3tyWap4O8OJgxsSOmbv6Crui5mmbCfsmc8q1ZU5JRU55MjxV37wwlEyN5emrg7D1oIJD+DDaFGrTSDzOdDgeQzoCF6ZpuCfNNNDHGWhZBv8JBv+JBr9sg99k0zsVbk8y+IF2sHe8gTbWQAP9RxnoabhIBeMkGFhxeCzqsAjsLOBcTQo1GF9OKlAAZiUxLyQFZmujBGrb+fvtuntNdI88ZSm86JKYzMKt68opLJmjfxf1RZA8RfIUgUAgEIgeTdfZCiRPEQiEk4DkqV30cXkKkGgiu1qeCgOG/M9Af3vlKc6/XGgdhhjEpjy1c3Bi/BZnPqgTBu8ieWrRaGFOfWHMKV7qFF8eCs/WF5my9a3NqUJtCjgN0vK1IVi0aXgol6RN2XicKQt3poyxBnqWwX8SLklzDdQ8g+90g2++wacQoPeZoafMMFDAO9gu0PuAdrB3qsEX9JyMuVR/cOxYPC411cAYaWAm4oGomELFK6KC8+p0PC2Wxc8PDDIvJEXypzwLf0qsH8XF40+5NuSpD7vtG9hEd8lT/CiZi4+wY4cj7ATJUyRPEc7JCOGMBVkb1pTs3lb9/rq5787NXDtSNMPhs3IgUf6502OX1M7YsaXq4NZF760q3lWYWBPLyHP4xKwZEzR3Quj8VNmszh02iV8IhoWMDylrvTPoQHRuOkpXBuYGJhZDn2rzqARuPtF5lGqOw+8kAtFOus5WIHmKQCCcBCRP7QLJUxcvHoVhip3sIgZ4cmyKv9f1p/YcTr7krhv8tU7aKTO3R56+TsI+7hPxwqC05tn6TeYUWxtKhFU41TQFnIaFcg1hWDQooU2TDcx0AyPTQB9voE0y+OXgwrRA7zMjgjIrwnt2uFdJmFdpmNfcUM95zQEtoH1OmFdxuHdRhDfon6/3AceCESYa/MBoGXggKlmhDo3g6MM5YdhyUlgIaiBM4Q/EU/gxfyoi+1Mm7k9pAovgU7ldwafdJU8p5mx94liLDSKQ2dyCmTvc31l2th7B4hTkbhYn7SKan0vRpnPEeyq7c2JIniJ5inA2xgbP++KTCw31Dcbmr/pXDac/+HaMptThM+xmUmWzDmw6/uj+U6PV6+mj5wc3H08SFDp8kmT+unoXzO3jXZ937rAnDn5NvvZJEeWtdH7y6Jn17SJeDQ2N137+q6Zgu8VRlZM2EX3OnfzR4XcSgWgnXWcrkDxFIBBOApKndtGX5ekbpLjIbsB+O4noCnlqEUppK2HfFHOKh53aMqd4kVMpZk6xBHlY4VSHlzcdEo7VNo3VsxP1WFXTdANjDB5qOtlAnWrwzdf7zNRTZodjtrQs1HOBzqNC514V4r4wxH2R1n2x1g0j2A1ugBbQXhniXqHzmK/zmBfqWYKL1Jm4RQWjZRuoYORMqFD1zAQ9C5w3Ut8UggpmBVP4W/GnWPJ+M39qc/EoG7fRtj/tRnnafEpyL6bcjx0AMGtTk1L0Z6vIRSH82Wo6J4AsQ72ZSj+WCnajWAlTP24glaMGGx50sQe4FobUj6Om2FKuMBjWAzOGsqZG0p2x7k8cBQ/BVaOp0Zetghs+7ACfJnsLraUUnAU7UdNVyPx5QVTL62q2QSG+Mmaz+9Zsg9k0vpeNCTcpaSRPkTxFOBX5w5e+eFZHFqb37z56/rSp5dmTFzOSSo+OigAAIABJREFUahw+z26jYuLGJw+bPODjB0+v/XLz8o9/Pvz7MdF4589/JoTOd/hUCbpCniYJCutevCQL0INbTrTSv3V5SrxOH/42ym8KcRSSp4geStfZCiRPEQiEk4DkqV30cXmK6Ol0WJ5a+D5CoeJ+UAHlKaZNzaVOaXw5NKdMcTNzKlKaYk6VgcIALFVfoMUXhtKHY4Gf0XpOvJ6dpGel4tGmhDYtNPjMCvcuwZ1puc6jKsR9cbB7dZDbsiC3Go1rrcZ1eeCgFYGDVuKswAEtoB3sXaZxBT0XaTHNWm62qEXh3gWYQqVmG6h4FCqWyA/OO9zAgiGoEWF4Cr+Op9HCEqhmf6oUkeufMmHxU4HUX4AXeMXy98GtgCoZOmXbmftOJU8B/fzF749Ysy/5TQ86f2LwRAZT6M1U0vlRHyZVuzLlIvHIbFXsAIZ0QmjuxczN7n48H5aynz/fnSFj8GP2xFR/mLJiAF3q4S/2bFKfSm9WwPtLfqotOS6XBMzMWpeTuTw9bvaRlT+4UNleWCirrL8Pm6QpZSJlfMH41TERaR506QAfthsdezhd/PiD/Hhe2AJrAhc/IYWp8GSI+/uyCQvpJ4jQBo0EIxgM2b4sGTjQiy4qnLhdzFf4sBTJY3eOCIl3p0vNs5IrNJOmjV2eO2aFRh7q7i8YSBW40wQzphxYXbh7EE3izZQO8OXgPWUDfNngcsCFuFC5rv4iH7ZyoC/bHf9V6eYvGOQvAN3c/PmD/IUUs3EG31pwRMG00UtY3AA3mhAMhVlUpqwfdqUyX354omF0P18u6D/Ah4XkKQLhDAxnT39wD3OCdS9e7l59ZJx2XiTVJLbGh5TtW3+soaER7H10/2mKtMjhs+0GluVvh5f86mX94e2ncgZXkvfmDlt4+vC30PTdvHY3kV/g8AlDukKerpv7roX3fPLwWRxzWkv92ylPMSu06mPiKCRPET2UrrMVSJ4iEAgnAclTu+jL8rQ7w04RnUWnyNP2rhMFS53yzKVOhVKmSMoWSdhiCU/aLFtfGShUB5nMaZiOawjHUvVjDewEPStZzxxlYIwz0LKhNtX7FId7l4Z6zdd5VIa4Lw5yWxrkWqsZtFw9aGXAoFUql7WqgRuU/Tcp+23BeGOz8g34DlrWK/uvUQ0EfVYEYP1rAl2XBrktCnYD48zHFeosXKHmGnwnGfzGGmjp5hDUGD0bzEePrSLFxUug2og/5UrF4LqaFo8SSGHwaUvFT63vp40fTIfJU7krXZwYkJKgTpcIh381bufW+DIRV10wpHhdZGF/mmzLyA1fjlozQ5vyBpW7JqbSncpVS5I2xlUuDM/2ZGmiFAnpgSnudEnu3CVDDEMIWQyuMSV22jBDNoMt8RPGlY9d7c+LOLTy5pLCj2JCk4dGlZdM3j08PNPTrEGpHDWVoy8bW+3NNZRN3r5gwtrh0UWrZhypKT4xOHR08eR3q6a+y+YGZY3eXJqzhy8IMt1JcVLR2DVSVUx14Z7B+ryyyTvSBmdOGb+lZvrexZNWx6dt2FB8dHnBPqo5jNSfq01LqRkTN4XCkEwds6lk4jY/psSLG1KZu93FXzQisWbBlF1xIfGRMZVlObviQ5OYsuSKaQcmJcxhKMYuyN07K7NGpMlYlLenfPJbHv6S2RN3zMla78cQY1GuLCVTGnNi2UWJLJLF19fMOrU4/3CiPnN4fO2CvPdShk2blXtw69xjo2NyRar02ePW/BvJUwTCCVhVvAt6q/nj1tvsQBi0XSs+cvhsu5rcYQtf1b0CF/vwnyf5w5e21G1z5QF4T95d+4nD5wzpCnl6+dINa++5dPpbLfUny9PK7E1FI2oBxakrKydtOrDpODmI9dmTF0l8U90DJE8RPZSusxVIniIQCCcByVO7QPLUxZuH6BFYf4N2ylOLRutSp37mUqc0AeYT4SJRbLGEKxXzZWJBU51TQZM5DcXMaWSEKVU/xcDIwANOpxio+XqfonDv0jBMm1ZpsTjTmkBX3Jm6rFUOWK8csFI5qELhlS/3z5ByoqVCnVgaLJIBtCJZqFgaJxFkytgz5H4LFR6rlC6g/1rVQHAsGAHGolZq3efrTFGo0/U+OVgIqv9oAz3FwEzEU/iH4SVQbfpTAb5+FFciMflTInmfTxQ/Jfyp4jX8qePS9rHMeoYU4EYXVA2dzWUKvZgKV4bqneHlAxlyrXryguDkAXTpv6mc1dEVLr7sbSk7yg25+0eudKWJvJgycCCYvFAzlCloyt/Hs/WxBwxs9GeElqRXu9I1R1ZdocpG5mau3VF9PSV+fvmEVQP9ROb+sn95y0rHLPbmhk1Mrthe+c3UzOUZcaszU1fOmHxo55z3Z+YeiQ1Nzhv/TkZCGYunwZL6mQoPVuSi3MO7K79bOGF5ZcHH6XFFW2buL8zaopZqdy25nDl+R1rYyKwpx4QinQ9bCe65L0s5PL5i5JAMD2HSqsK9k8dsSdfGerCDK6a89T8UzvbyL8YkL1pdsH1E0or80TVBqsjy4h+kgkB3mnTZgl9odF525saQ0HHRuviUEUuHhY1fnLNuzpR39Zqh5ktQDI2aV51/2BA8+r1l37v4h1Xk7l477+x/ufmX57xJ4w/Oipvcz5et1k6aOar6X0ieIhBOwIc7T0NX2FKHSOqUezfvgz6/Xbzu8Nl2NZfOXTbi1TlnJS9vvef5//xsxOufxjjH+lGdLk/zohcTThM8HsQ2uEUtHUKWp9ZLPxWNqG1sbCQ6zBuzFrYjeYrooXSdrUDyFIFAOAlIntoFkqd2LjGP6DY6K/K09bBTX7MlpMKEfaLUqchU6pQrFfOgOVWaV4jCzCkfmtPB4ZxIPScOS9VnpmEVTmmTDNQ8ve+MCMqcMFO06RJMmw5aoXZZrRq4TjlgjWJAgYIWKpVTeYFuLJU7tsgYeJghcjPYR/B4uzEUbqwAuiBwiFQ6R+G7VjEAjADGWa52MSnUEPeyUM/ZYV6FEZSpet+JBr8xBjqews+M07PA3AxhnNBQc/4+tn6UAFyFCPen4LqaFo8iJe9Df2q+M69T+dRxafukWUmKB5euGpLH4QSkabPOZmwME4WpZOnHRi6NUwwLUyQeG7V5hCJ6mqGsPCInT5vlxpCaKpMyJCU1m+KiIi3KFMBfOP+mhZSmVw+iaz5afpEqT84ZtXT2tOMJkTOGRWR50KXYqRkSRWBWeuKyguTZ2oi58zMWvLPw+6mZy1NjV6UmLp+QvmpD8UdpCYv44uis5Jqpk48O1cR74as8DaJJ3q66qAudujlv48T0TRnR+amRU6ZmbSscXbun7NPE9C2Ls9/cVXHBn6M0PbcsRRwuTwf5axblvjM8spjFVUbHFG+df1ouDK4s+Dg1pmhkeGZKwpIxKSuW56wfPnJbSdbG1Mj8mNQ9+aNqq/MPKbQTizKXV+d/6MvSLsrZmhwzh8821TZliQwzMmpnZO8bN7z4g5V/5Y7fNTmxdNGcCxkjV84aVeknjt1e8lF4cHygJicqfByKPEUgnIFj+86Cv9JfPH/Z0mLogC1VB4/t/dJm5GlmYOnu1Ucunbt8+8+/79z45/zpn1YUvR3ln0vus3/DsUNbT04IWzAhdP7XJ3688+c/F7/4tTpvK9EhVTZr6+L3vz31081rd+/ffQTeQYedNYfTFcUWpwPdwFAzkrAl78H2L99du3fz/m8Xr3+48zQYv6X5J4tnbl303oUzv9y6fu+P32+DOdTO2GEtPfOHL4UK7/j+r9q8b2Vj1z178uLLoxdHBzRZwlXFu8D0wK5EfsHHuz6/9cffYG5vLTk0nGVKdQfTXj5z55mPv/vjt1v/3HkIbgW4BHDIlKELLcavzN4E2sE8wfbi3DfP/+dn0PnaLzdPH/52dtpK6/mQ5Sm4t+dO/gjODg755rNLS6e/Ra4x2k6gVYevmsId4HshPmYbKmwe0ro8BYCLJTqsKdltulIkTxE9k66zFRbytKi49IPDHwEGulEcblIQCESfAslTu0Dy1OFVOxHtpLMiT21qPtthpzw87JQvhQn7LFjqVIqZU5FSJFGJFGohXCFKG2I2pxGcOD1rhB5bG2qswT/bQJ0GA05DPctDPBYFuy/TuK4IcFmlctmkeKNK6WWQymhcFbH2jrnWZItSyZvV1AfA4KmiZZIapftG5RurVAOXBwxaqnFdFOy2IMSjJMxrZrj3ND22kNRYAy1Nj5VAjdOzwQwN4bg/xdePUmkEcrUQXAvhT2HwKVb8VGCOP4XJ+81XjrIxN2eUp3A0JZsb5MNUMDkasEFjKbFbx9EwOCo6JxC0MDlqL6acxdUQi0fB74LKU/vaWrMehmTC1ajo/CBvlpLKCQBnYQpCqKQFqSgsFWjB13dSMAU6f24QlaP2ZQMCfNkqP3BegZbCVIB2BhiEWHkJy8TXeDOV/txAOKYfW+XDVjNAZ3B2torBD6Hil0CADYi3ULka0A3cajpfC7r5cVQUVgAYwZet9OUEMvla+PCAvX74JTP4Wh+mTDd01nBDpi9+Of7cYAY/mDS4gs4Pwbqxwz+ovcDiB+E/TSp8KOw+0HjBNGyeKjovGPuN6konfjCRPEUgHML6eaas/P0bjr3usevmvguT3C1eP5+/OlI0g+gG155aOm3b37ceEH2++/wXuLdy0iby4lTk1+MHT6fFVJPPeO3nv0D7tur3f7t43aJzQ0Pj2tI91pOcm7n22ePn1oPfuHJnnHYeueeBTcfhrlYS9gmi/KZY6+azx7434rn835y6RJzo2ZMXw9nTwd6J4eU3r921eaVg8qtmv0Me6tDWk0Z8baWPdn1u3f/4/q+iac0MNZSnJ9/7mnxq4nX+9E+tyHFrhrOmPX1kumng24nnTN+/8VNitPe3nrR5VJvyFHzpRAfiy0LyFNFD6TpbYSFPwQb8AXH1pDrcpCAQiD4Fkqd20ZflKaIX0AF5SmHZWCqKLE+pzcNO6XjYKV7qVMrFS52KFCKxSiRXC1UazJwGh2ArRBlM5pQNzek4g3+OgTodr3A6L9SzEs/Tr1UPWolFm/YvV3gPFoupHJUXEVvagcceP9CTqaByA6IlwoUKj/XKfitVLjWBg8C5KrTuc0M9Z2H+1Gcy5k/900zxp0T9Ux6YeSDuT2VqIbgioRJP3peSkveFNoJPX6PyqaPlqXkaCh8sqFPug8VpKuFq9dgGPlvYgu817Wq6vXh7C79wTLn8PthCUnLzs6SkmEeA7/C83kx4FmXzQZQw7968QV7OXokf0jSm9YblXTJrYuws8OpAN6a5f9OGHM7ZNBT0yCI9BzezxAikZa/AFw1nHhCmS/Mx3xZiKApLaf7q5SjyFIFwBpIEhXDBKPD64/fbO5Z9kDvMMgrSJiuK3oZHXf7xz6rszeNDyqbFVL+/9SRMzf76RJMFg270zo1/wPv3X/524uDXf129uyx/O9iVM7gS6terP/1Vmb0pSzd/jKa0MGHZ4e2n4ODXf71JPimUpy+eY9UzwX8xTx5cGc+ZDs578ctfYf9FU94k9y9OXQlXf7px5c7SadvAJCfpKzZV7H90/ylovH/3UbJ4JtEZxkWC2VpEzrYfKE/hlYKbeXz/Vz+fv/rJni+G4Try1h9/G/Glt9aU7gEzzwgsmTJ04ebKA/D+vHpZn66cTQwF5Sm80t++/6M4ZUUCrwDMn7gzH+48TT41lKfwdencZXB7ZyUvXzlrFzwpeG1d/H77L6SmYDsx2qf7zsJvimh58ugZEUtLpnV5Cm71sycviA5lY9fBdiRPET2UrrMVLcnTAa7eDjcpCASiT4HkqV0geYro0byuPH39daJg2KmELZJyJBK+TCxUYkVCZQFCZaAgMFgQHMIP1fH0cIUoPFvfbE598/U+xWFeZTqPhVq3pRrX5QEuq5UDVikGJsv4Hhw1npvfGf4IxqsyZFSuerycvUYxYLVqADjXEo1rlda9TOdZHO41vbk/hfVPI8K4IZg/5atNxU+F4paS9/m4PzUFn8pb8qc2QnodJ0+bu8gW+3i33KGVEWBIZuuDE93a7NPsnWQtmzZszKrTFLNpHPMVtdINStWW9oLvF8lTBMJJyIupJidlQ6v42aFv1s97N2dIlc1DRopmvHhWBz2dxfLru1cfgYNMj10CW4jA0m3VTf4OCkrwX72g/eHfj1NlsyxOceLg1/CoDHUJ0QjlKXiBveTOsYy8Xy9chzOHYZ6wEarDW9fvEcsTQcYEzYWXDM0mBMZa/v7DHx2+k1CegtdXx38gDCwM+Vw95x24qzhlhcVRhIZeOm0b0QjlKSZhf7uVyC8g94e7Ghsb86IXE42EPP3o7f9EUpuS9JMlRdBpXrl0o/0X8sNXvxMPw5y0VbDx8o9/Eo01BdutjyLL04zAEnAHAEmCwgmh81cV77r+601i74vnLwltjeQpoofSdbbCuubp7JJ5d+/ec7hGQSAQfQ0kT+0CyVNEj+a15Gl7qp2Sw06xhH2BOWFfLIWlTk0J+4FCdbAgKIQfouNFhJnMaaKelYZn6+fgy0MVh2NFThcGuy0LdF2hclmr7F+p9ObBBYjMieGd8/yTMrgl4oBqhccaZf8VAS5LA12rgrESqLPCvaZHYP50jIGWamAk6tkxevbQCE54KOZP4eJRWPI+XvyULxfzpGK2pCl53yRPSStHkeUpuSSoc8pTbxt7FRRmM3HZ+gg2djHb6EN0a3EXacPme2vytC0n280geYrkKcLZGB0w59DWk+TAQOJ1589/1pfttQjG3Fi+H+61DlNN5Bc8f1p348odoqoplKfPHj+PtSozenjH6UvnLu+sOWw9pcpsk1PLI2XuE5Gn1rK1OGUF7A8OhC0VEzfClrkZa6zHh/UKXtW9SuBhajKSOgV2JuoJWDAreXnJqNXWTIooJ/oQ8rQg3jLxf03pHjDyV59+bz1ysqQIHrW58gDRSMjT+ePWW/QHE4a39NC2z4hGKE8fP3gaz5lu0f+jt/8DdtW/amjnwzAhdD7x7f996wGhYjfM30u0//TtFesDyfK09Rc58R/JU0QPpdMlxUA3ilwVBHj0+DFZngZodNev/7FpyzaHaxQEAtHXQPLULpA8RfRo7I88JZaPb7ZOFCnsFFsnSizhSiV8ORZ2KiES9oNNpU6HhHOi9ZwEPSsVWyEKq3M6nYg5DXZfFjhohWrgOkX/LDnLl6Py7lxtSoKomMniKacp6OsU/cz+1G2ezmNWuNc0vc8kAzXTQEvRM+P1rCg9B8wczB9cRaCWlLyvEPNlePK+zeBTrryVyqfOIk+Zcje6LDUwPVmTSbHWlEwFjRMk4gWBiaUHZTJZMHoXHghDLLENbARVUnpgmitdYr4W0zheTEVCXEns4HyJJMyPq/HnBHgypNbTAE/giISFfKGGwjLl4MOnEapGb5bSn6v2ZGqi9Nle+NlpgsETkma40SSG8Inu4GGmiyPCxlOYIkpToQmlnygyLjJn1PACiunZdvjvXvM9QfLU0f+aIxDWDGdNm5u59uDm41cu3SAvjG7E0+2hZIRAS/jX1bs2x7FYngiavi+PXnytySzM2QJPXZiwjGiE8tSmggQ8foAl43+y+wz8eHz/V8aW0/AJRVg5CZOthDwFV2pzcPKK8+QXeYF7eFuePnr+WlearpwNawu8teQQ0QjlKRjK5uTPHLlgxCNqiRYoT23emS1VB+FULWKEW2Lf+mPE1e1dd5RoT5EW1b9qIHblDK60OLCd8vTil7+SV+tC8hTRQ+l0ScEXK8g/KYQ83XfgvYPvHXL39nO4RkEgEH0NJE/tAslTJFU7ne68pR2IPLV4eIjl46E5JYWdysjrRPHxsFOxUiRtStjnheq4WKlTPWe4np1sYGYaaJPwFaKKw7zLQjwWBrktC8SKnK5V9I+XCjyYys4xg61ArDrFVo3DU/hXqAYuw+NP5+k8i8K98/S+Ew1+GQb6SAPTtHhUGEen42LJ+8ECcF1SYuUoqSl5n2FeOaqV4FMyTiFPWfJ+/oINMZVrY2s8GFKtNHqYItaTIVGLInzYarUgJNtQ9k50kU6s+yB1c6oyTsEL8mGphykTAgQ6Gi80WBI1WB75//zEG4cUbI6t+Le/kKsawpMGE3MDj1btvLPzcw8P1g7fW/vL0qITyUPGssVREWFj2HytIjBZE5gUqE6g8UOyM1YLBIFM0WCVeqRKGYl7Q3wBK2nSxtLT83P28EVRK6Z/4CcaxhVqA7Vjs0cU9fcVVEz9QBGQ5McQzs7eE6yOFYp1/vyw8NBMiSScochaNG3H2/NO+GBlHxz+i5f40pE8RfIU4eyMFM2onLTps/fPvXpZD/+SB9vEXpiC/cUnF9ozFJSnh7efaqVPhrqkbOy6DfP3Htr22TefXSLKsNqUpzuWfWBzkEvnLhvxxZHgx5++vQLlKWixhiiTSsR7Qvd37ZebNgdvvzz947dbrVxpkqCwOGXFquJd+9YfO3PkArlWqbU8vXDGdhjs7lUfG/EyqUQLHOfou19Yd15fZooYtQ5KtSaalkuu4ZBtqCDv/fLoRWIXOe6VfANbeYGvdevi9y2WrkLyFNFD6XRJwRPKnjx5SrBt+07Y7uLu43CBgkAg+iZIntpFH5ensBFbJBrReXSnP7VTnvqwFb4cRVPYKb6sPBF2yoDVTrGwUzFfLhEpxTBhPyBIEKQV4An7XDxhnzVCzxploGcZ/PL01KJw77k6TzxbH8ac9gtXBHgyFV1uTs3AE7kz5WlywQb5GytVA5cGulZq3Ut1XjMjKLl63/EGv3QDPUnPisGLn4aHcrU6fpCWH6ARytVY5VMhnrwP5SlLLKETwafg/nDl1JbLnoL76QzyFIq5gTShC03gSpcNlcZOCS8K5il3xs4VCmJ268cmhsxYPyRHzAv8eMz+uWFTvkpdsiFp60R18qdpW3iKSR/Ez18Xu4TizxpIl4BBfFjy4bkVo0ekeJNu70BfziA/vgdTub/m4tSsPeNipwQGZ0uCckomvrmm6tq+mmtvlZyS8GTzS38OlYZGJdRWZy7YVnaKyRbBGTLF8Xuqf48PTx9ED1tVdHpH1Xk6J0CkHvVR5ZmBvoJV885HBGVUjq+em/dpZmTOvvKTMllCsCbt09VXfBkicN4BVA6ezu8s8hHJUyRPET2ICWEL/rx820Kl3f3rvtG8lFCbQHm6Z80nNvfOH7f+8qUbFpatoaGROKm1PF095x2bQ3194kew97eL1+HH23/+3brLg69964/B/lC21r9qIKqmkkmRFqXKZpGBVV+t5anNlHYAuHtfffo9DDIlv8CVwjhfa3kK/iqwORQRTJrAzYctUJ6SJ0PwWvKUrDLB62XdKzIN9U2Rp08fPbe4UWR5urniwPKZOwE1hTsWT91aOnp1lm4+uRirzTMieYroQThcaiAQCERXg+SpXfRleQpawF/4Hn4SlliH6CwYwmDnlKcWBU9hpU7yUlFNYac8mb9A1lTtVCLhWYWdakP4YTpTwj5W6lSPLRI1RU8tjKCU6jwrtO5LAgetCHBZq+gfKxV5d6M5hZhPp0yX89Yp+i1XuVRrXMtD3EtCvQoifHL02OJRqQZGgp4dFcEZHM4JDeUFh/DAdeErR5GCT8VY5VMs+FQoBfeECD5tb+a+w2ueMhWuTN3e+KrFMZXBAs1bMSUh8lFbw0aHqnNWRIxzY4g/SN0k5wYdTar6MH27hK3aOHyZNGBydkC8N0tF2D2wIQsfoQoM925elhRbaJ6t3r/06zl5R2JD05eVnBuZuLg8+62qmadrZx2dN+kdLoszZdqZYLF2SOziMI5oYcE7HK4YRgdTucFMXkjOxJNJhpwNpefXzXqfCp5G/uC98473o/DKc/f385FWjVtSNGGHD423vfTIlMwtU1MXHF991Q9WFWhrrapuBslTJE8RTsL02CUHNh0/cfDrEcIZrXQrTFgG3daG+XthCzSbpz/4tj1naUWeblywjxBnNy7f+ez9c9uq35+bsQbMhziptTxdW7rH5okufoEFk357yhR5Cn3iL+evVk7a1ApE+vm7az+BZ7QuM9rKdbVTnoKrePH8JRz//t1HXx69uHvVxwsnb84IxJbDglLSWp7+58PzNk+9s+aw0Vbkqf3y9NzJH9vUzcSrdsYO8rFkeTpKNaedDyGSp4geisOlBgKBQHQ1SJ7aRR+Xp/92ZUiDIuXaGERnoQiJpXIC/uVCczZ5SmHZyNm3KU+JaqdY2KnIVO3UFHaqxsNO8XWi9Pg6UTBhP8NAy9ZTp0f4zA71WhDiXq1xrQ0YuFbRb7yM9VrZ+uZ1n+CGzIspNSNr5wrvFkP5sJWFCv/Viv41AS6LNG7zQzyKw7yx4qd66mgDbaQeS94HVxERxjGtHKXBVo6ClU95MjFHKsYrn0ph5VM/PpG534Y/NW07Tp4SN8GNoawYNrt66BwlX5OvL1weOSdLGUVlBy+PWTA1KGGWoYDPUc8NnyiXJK6LK58alMaTpURJBnuxzEVO8QDPiLTpMZFx3lY335ulKhxf68sbPCpu5vD46umZ69OiC0ePXDI+pSo5ZlaIJrNs6u7C0QsDtFlyjmx00hw6RwqNIVc+oiT7rZIJG1i8iLEJZarQmeGBiRmpKyrzduu1I9KTlxdN2CQRaeNjK2ZP3KzXxOnC82ZP2FQyfo2vUwpHJE+RPEU4CVXZm6G0mpO+qpVuccxpsNv2paZ8+e8+/wV6SZv986IXT41aRCyn3pI8TZXNelX3Cuz64/fbk60KaJaMWt2SPCUX4iQD42GJ1HW4ZPzvP/zRzruRM6QKnvGHs7bLnlrwWvIURteCQxZkbbDYFcvIg+e1lqct3eFP950Fe2//+TfR0inydHTAHOvA2FZeFtND8hTRp3C41EAgEIiuBslTu+jj8hS8y4KjCeuHsBN4J+n8ICeUp9ZhpxRTwVNF01JRHFPYKZazL5Ky8Zx9U9ipSiQNEBHVTrGw0whOdAQnSc9KN9Cz9H5mUMQSAAAgAElEQVRT9b5FRKlTtcsKxYAShS+FE9AeG2h2ppge9WKKvZgSP1Y4h5Mq5k2R8KaJeJPZnGQqKwS0A7zNNradw7pzAivkniuVA5eqXaqC3ebqPGeGU3IjfMfr/dIMjEQ9KyoCWzkqNJQbrOOp8eBTCR58ypdjwadsc/Bp07JRVsGnxP00n9e87QTyFODBkHhgJlruyZB6MGSepkapG0Pmgek8sI3VD3VnSMzOutkcYKN5pS/LwT3xEbAFo8A44Nlj4peJPX4AiTtd4k4TwVKnsCeBO13kYW4Hj6gnmCT4fQV+a+HHutHE+OpV+AZ2Lpk7DTwY0m4OYW7/fUby1OH/miMQgLHB82DC+NcnWpNWeTHV0G1V522FLXvWYEGar+peJfELrftDkUesENWSPF08dSsctmLiRutBtlW/35I8/dmWUszSzbeY5P4N2MJHDQ2N6crZ1v0nD648tvfLnbUfToooJxqJmp7khe9tEkmd0v60fTABOCx5lXmCgvilLclTm3cYnPrezfsWp+4Uebpj2QeEx/zt4nVwoDVgkmR/OmXoQuJwJE8RfQqHSw0EAoHoapA8tQskT6E8dbh27B30FHkKIYed+pKXihJIYc4+G+bsy8VChUiiEsnVTdVO9WGcSCzslJWsZ2Ya/CfrqQURPiUwYV/tslw5cK28P5+v9G7HkuhmZyqhMFVi3tRw0Y5I8dFo6WexstMxUhOxslPRkpPDxB+HCt8UcLPw/lIYoNrm4BSmTCVSrJEPwJL3AweVa93nhHrlR/hk66kZBloyDD4N50SEcWHwqUojkJGDTyWYPGXiy0Zh8pRvU542j8d0GnlKaR4rSkzMlH1vQo7/ApGbvwu5Kea02Rdke1bNs/hbnQZLTg5cbb5hu3pp07CkszuhOaUgeYrkKcKZ+OrT76G3OrDpeDTNxsLuCbyCn89fBR2ePXlBZPcTQZo7aw5b9C9OWQF3rSreBVtakqcrZ+2CPcvGrrPYBU4E/SB4FY1cTrRDeQpeM5JqLA45hgdjgnMl8gtgS27kItjZ5jJK0JM2NjZm6eYTjZmBpU8emgzg7lUfWyxtRJAzuJJYb6o98pQQu/s3HGvlK9hZ+yHRCOWpkRTtS1BTuAPuAreaaLRfnkZSp5CrxBIO2ppfL1wnupHXAUPyFNGn6ApP0X+Ql6snFTDA1Rt8HOThCz/CvS7uPmDbIetHDXSjwJn0c/EEH+F2+2fitNf1WoBrB/MEt4JoAR/BtTh8Yj2dTnkAyA+YEwKvsQMHtv6z0w0geWoXSJ4iedrp/tQJ5am1OaWY5akvR24OO22Ws88yLRUFc/ZFkgBsqSh1sCBYxwsNxaudRrBNYafYOlG+s8K854d4LNa41qpcViv6R8kkbXpAc4a+jMrSKfllw8RHYiSfx0hPDROejJWfmpJ0rqb015Vlvy2d/UtO4rlY2WeRopOYS5V8PkT8vow3k8JUtS1nYXQkUzFSyl+j6L8swGVhkOu8EI+icG+4clSagY4Hn7Kxyqc6XnAIXx2EB5+qRCIFFnwK7gCeuU8sGyW3kKd49K6cQornNZcX6D556o2dXemcYrEvgOQpkqcI5yFLN59YR/7GlTubKvZPjVqUKpuVIi3KHbZwY/n+Ozf+gXu3VB0kH3jm4+9AY0N9w8pZu4jGaTHVsD94J1YTakme5kUvhiNf/OJXstebFFFOXkKKHJdKyNN/7jzMj1sCG6Npue+s/Bi2E1VZIZ8d+ga2H9r2WQLPJFXBuQg1ae1VZyTVPHv8HO69d/P+ztoPi0bUjtGUghsyeXDlquJd50//RMzt7l/3yRq3JXkKZgid7P27j8Zp5xHtyeKZJ9/7mhiNHJdKzBDcYXJp0cpJm2DtVCKwF2K/PJ2TvoqYCfjKbK6aBVk95x2iJ7hXxLBIniL6FF3hKQpmFpv+78XSWvDxxl+m33iePjTw8ZdffwPb4L371c/B90wh5zHDk8RyNdz+9vx3nXJdly9fAds/Xvqp9UFc3H3mlJZZNAZqw5NGpnfPTZg3vwLMc/nKNfBjuCESfPzm2/Pd/3X0Mtr5ALQCgyOET9TmN7c5/HKsGeDq/fjJk/r6em9fxuse2/rPTjeA5KldIHmK5GlnmtMQp448tXhsLOUpXCqKL6MLsRKfzZaKUolkapFKI9DgYacRYdxhEZw4UthpYTgFCzsNdlsagCfsyynurABKq3qIiGdkc0bg2vQ/0ZLPoiWnYuWnK/N/+PPqw2vXr5/+/PSRo598fubz69f/vHH9cVXBDzHSUwDQE1eohxnsmHal8DPl/hzlCoXLCuXAajUefKrzzI+gwOBTovJpeChXq+NpggVKjUAaIBLDZaNk5sx9KE8Fcixzv51lT7tFnuLrzit82a9RWxbRuSB5iuQpwqmYGrUIqrdWXgc2Hbc4KllSdMWsOP+58/DCmV/+vHwbVsx89vj59NglRM9WFow6c+QCHOHxg6dfHr346b6zP5+/CgYBgP6wIio5mR3K09t//g1XWLr601/gvIT8PXHgqyi/Zuu5J/AKfjj7G9z74vnLH7++fOmbK08fmdwo2LbpEycPriTbW5uv+lcNH739H4uc+lZqnhIG89XL+vOnfzq27+y3p34iNCiM5QTtRH8oT589efHg3mMjLqO/+/yXW9fvwUHA9FJls8jj2y9PT3/wLXF1YHqt9ARXXffiJdF5xcydsB3JU0Sfois8BZKnLRGXMPL3y5fr6+uJFi8f+qYt2xoaGhZULOyem/DxJ0fBPEekjIIfS+ZiKQUrV6/r/q+jl9GeB6B1nFye6sKHYP/Ef3ehA8ciedo6SJ52D0ieOgXOmbZvzpi2fGxIOfuW8tSUsy/F5KlQIW7K2Q/h63Q8QxgnKoKToGelGejj9X5TI7Cw0zKtxyLNoBqVyzp5P61YRmG0ERMKU+8V/JJoySmTNpWdSgr8z4/nH3597nyEPo7GkNKZUgZTBt7BdlhE7Nmvvvn1h0d4Cv9p4igJb5oXU9yOEFe5QSZfpRhQYw4+nRnuPUVPHaf3SzUw4vXsyAiOgVg2KghfNkopEipEMHOfbc7cpwlkZnkqs5CnPuxmwafdGXnKUQ0+8Mkxf3++9beM6AaQPEXyFOFsxDDyNlXs//XCdVgClawIv/ns0qzk5TaPSuQXHNh0nIjTNOJZ8F99+v14XRm5WyvyNI457dDWky9xSQpfDQ2N35y6NC2meph5WSowK6I/lKfH939VMmo1YRLB6+9bDyxiTpsujT51c+UBuJYU8Xp0/+nbyz+MZeS1dEOi/HOr87Ze/PJXaGnJr7+u3gVXnRlYan1UK/J0GB6wCU0o8br2y83FuW+CXduXYsVG6168TJYUwc5Qnt67eX98SBlRIgC8Xjyre3/rSSKKlsBOeZosnvmK9C3MSWttATHAiQNfEZ2JLwjJU0Sfois8RfYU0/JxZQuqwMdff8NWvauvr4ep4g6Up2/v2gMnph8SxeSI4PbnZ77olOu6fPmKsS13dvTYcXgI0QIDP8Gre+RpPxfPBw8egH/jfGkc2HL4QyzjISU9s/u/jl5Gex6A1nH39ptTWgaIGZ7k8MuxZtbsueAC16zb0IFjW//Z6QaQPLULJE9lwdHEmlEI+5FpY2h8jXPJU6bcerUo3PRh1o/KtSx4ysDkKaYLuVIxzNmXYktFCU1LReE5+zF69gg9c7SBNklPzQ+nzNF5VQS7VatdlisGzpT7erNVrYSdmqckC+BXxkg+xzUoRpzi9KXvHi5fsZ7BkgGYbDkZ0MLmKpfVrP7h23+StZ/j8acmFPw5bThHWMeTHVAld1+OB58u0LrPDvWaFuEzQU8dZaAl6ZnRepi5z22WuY8vG8WVkDP3m8qewuDTZmtGOUKeYuaOJhw2sjharvRkmEqLohDU7gTJUyRPEU5LirQoL6Z63pi1ZWPXgQ2b60FZEE3LnRq1qHT06qKRy5PFMztw0gReQdGI2oqJG4tTVhD20CaEPIUfpwxdWDJq9SR9hc1qrRaM15WB8edmrMkZUhXl33Z/SDxn+rSYanA3FmRtKExYNjqgvU6wpXsF7ioYCkxjbPC8VnoS8hR+HBM0d076qrzoxQnc/O55EhAIROt0hacI1umhKIFKDsZ7Era0JXnK4UuTRqaPHT/JMDS6/yAv62Fd3H1i40eMmzBZExIOPvozeXJVkFQR2P5xiufMhROj+LHAx3v3sPrIRJQfnS0AAwJaqjjZ+nWR3RmbJxkzbuKozPE0Fp84HEz1zBdfQmcEzsITyX1pnMyxE+CYa9ZtAI0eFH/QUyxXg20wH7AtkCjBUMMTk62LaQ50o4BrhCfShQ+x2GvzctTBYeBcP/x4iWj5+2+sRo0fg0vukzZ6LLiBw6LjbValBOcdEhk3fmJOUnI6uAryLnCN4Izgq3H39hs9Jis+KYWY9iAP36FRw8Gw4JLB4eTLAV8HnCr4vsBs4xJGgouSyC2/WXhqMAh26pHpFCrzdR8ScMPhicA26AAmQz6LNtSQnjEODA6mDZ8QgvZ8I20+AG2eCFw+nB48UStwBVLwHY3Lyh48LMamf2zlp4B8T8ANAeOAqfKEMrjX25cBHm/QCC7TYsz3Dx0GFwhm3vrcOvCz0w0geWoXfVyegr/w6YIgsSYSIEF0BiL1UBcvrvXddqA8hTVPLZ4ZKE+bwk45chh2CuUpLHjKk+I5+0qRLECo0gjNOfucoeH4UlEGxliDf47ed0YYZW6IR5XGdZlq4Dr5GzoxOLWsrYR9mYJfGiM5A+0nNKEnDt/avGWHD5VvU55CaAzJgYOHDu++MVTwWZN1lXwp4ma3Uf8U7GLIkqW81fJ+SwNcqoJcS0M8CsMpkyN8xxj8k/WMOD0LXBeWuR/CC2yeuc+VNs/cx+UpEXxqc80oSvfWPAVfsTpq7A9ffMTkY/n7FCRPuxckT5E8RSA6hoU87cVYyFMEAuFsdIWncHH3efT48YsXL8DfEm/gRTbB9rv7DsC91vLUy4e+59199fX1RPj2H3/8mZyWQR4zMibh5q1bRIeD7x1atwEL9wYjt3+cIZFxoP+VK1fhxyNHj4GP0wtmwo8bNm6BR3H40g5cF+HOyhZUvXplCoF/8uTppJypsAPYNpJe357/bk5pmbH5KykZq3wKheaWrW8tX7mmocGUN/DXzZv6IVHEZCZOzr11+zb5WHBdZIVq83KmFxaBlk2bt8KPSrUWfPzp51/gR3D499//QB7zwYMHk6dMI98EMEMwE6IDmN6evfsJxwqvEXw1xDhzy8pB+8jU0Xfv3iOPfP/+/YQRqfAoIqc7Nn4EvI1GPAVk61s7yGZwWHQ8+EKJEZ49ez5zVslrPSTEDc/NK4AbDx89Al+rWK4GXxx5ei9fviTHArfnG4Ezb+UBeAOXsK2cqD1p+x4Uf3DDySP8eeOvxBFp7f8pWFa7EjTW1dWlpGc+fmKqFwT6g3sCuoFvnGiZXTKPfOo7d7DUkDbFbgd+droBJE/too/LU8i/BvojOg0XGryrTi9PiZx9TAKS5SlTZF3wlJSzH86JNOXs0/CcfZ9ZoV7zte6LAwfVKgeulg/w5ygp4Gls4VmF5pTFjifUJ5SnY4edBb+1heIgGGTa0juAQuX/+svl8VFnY2TECFgJVAY71pvZ8qJJuE9k8NU1CpcapcvCwEFlWo+iMO/cCN9xev9UAx1cEbguvSlzn68KEsgCRODaYdlTcDdIZU+xzH2ryFOHylOmOC6lNIwrcvcTTlu0eU7eOPDtO/qXUh8CyVMkTxGIjoHkKQKBcBK6TV4QWMjTgW6Ur8+Z1sR7+vTZ9et/EO5sVOZ42IcvVjx89Ag2nvvm27Nfnauvr3/27DnZi7VnnNZpU562DnRnDQ0NYG5fnv369H8+hwVkwAxhjvzDhw+JkjKgz1dfnyueM5eQXPBAaMGgqgP9wfu1a9dhjrMRV5lMjugNXHpChXf+uwur167fsfMdcMnYL9t7f8PY1ZYuB3q3MeMmwo9TpxUSqq7/IK8/b/wFZdymzVvXb9gMP4JXmH4Y7B9uiIQTfvnyJZj/1avXYIc97+6DHaA8hV8NvPnguwMTqKurg1f08ZGj4ObA+3Dz1i14FCFPQQdwu749/x0hmmuWr4J9pIpAOCzY9enxk4RFzRiT1f6HhJCnxAzBrQPtUGiC/idOngKDE3thjGp7vpH2PABtnqg98hTcQNjnxl9/nfniS3hjnz9/rg4KbedPAZSn8Eu89NPPJz87Def5En+BQ46f+AzKX/CRK5AS99/ooGobnQKSp3bRl+XpG+bMfUTn0p13tf1p++QHhsjZN8tTU86+vwAWPJVAeco3FzxVBArVWM4+P1THHUzK2Z+op04P95mDLxW1JMBlhbz/eAUHSsOWnlWwl8oKicLLlcZIT8XKTgOGCT/bvena3HkL/eliU9gpS0FjiugsKdimsyQ0hpDJMslTGkOyctX6I/tumw8H45yOlnwWLtrZRvFTptyDpcyT+dcqBmCZ+8Fus3VE5j49Uc+Mxsue6nB5GhAklKuxzH2hWZ6yRRKGSAruj39T2VMb8rR52dNukqf+Ak3V6h0yjtiTG7Rq+97E6CFInnYnSJ7+f/beO7qJYw/Y/vf7vve898bgblmSVVddq91V79W9YmxjYzqmGgwGDNjghjE11NDSCSQkpCckpNNJQkm9uWmU5KYXEiD1Ur7ZHWktVwzGFr6MznN0dkezszOjlTk85ze/QfIUgbgxkDxFIBC3CANvMTrI05oFi6DKeX7Pi4lcIShJzcg5f+ECVIEwpHHjpq2wzsK6enjVxMnTYQnrxXrTTs+UlI2+c+0GwA1sJh4VcmfgNWnqDFjy0M5HYEnB8BGwpJc5T6GqA6+16++CJS2tK8JLKmdWw1O7yw8rFI0o3/Xo7rrFjWxgYJfD+fI/9C6CchUBT8El4HTCpGlRTFAkbHNBbXCSlRry2ef2tC5fBZfAA157fR/svz8tK4rJoPryK69BTydVaKPComtXrFojlCrTs/LhF7Hnhb1nzpyljDbYzv0PPgSrQfPIytNvv/sOdCOKWfYOu/rXX3/Bhe2PPkanvf7vf/8LOxOXlAJzILBhs715SFh5Cho329xa0kTorWKZ+rHdT3z074+nVlbBahMqpsJq4ydO6eU30psH4Jo3uqY8DaRnsw85jMllS8Dwe/krYOXpY48/2aGf77//YUIyfdWyFathSdmocbDO9BmzwekD23fc8A8/siB52iduc3kaFRd51YjoDd1Fs/ZdngpC8lSkZneLgglPCTrhqQEnTLjRqrE6tA6XyudRZvgU+QH5iIB0bEA8LSCY6+MtZtbsrzbFrtNHa3Frco8L9pMxwqRuyiH2Z+H7SxyHpxQcmz3ynUm5b5/9/LzdkQH1qAQjKF3B6MxHK/JeF0pU43KeLUm9W6fJlDIuVa40FBSOOvvZxdGBo1OHHRuf+dYw08Es7f5c4hChqu5BPtIfSakMHX6XPmqVObbFHr/IxZnj400NCMakiksCWC6T9tTrUTncKotDY7C0pT1VkLrgnlGd5Gn4nlG89vJ0wCJPpaQnb3hZopjkyowSjSVJco3duhA3FyRPkTxFIG4MJE8RCMQtwsBbjA7yFAbK/f333yJMxdZZuXotdDcwQyJcA/7bb7+HO9DPT50K92K9aadfge7swsWLbIpJVo1NnByc5+uSp7+ePx+XlAJLYhP5MOwRusLC4jJ41e+//7Hnhb3zFy62On3X7KEK14NLzpw5y5acPfsFKIH5LpP5EhhveOXKlSNH32xdviozZ1j4qvmEZCGYXlDhtdf3tbWppQxmBztkKE/BN9XdRkCYAh85ejz0nuAFU46y8rSheSlbs75xCSyEsaVw+AcPHWYrQJ0HXjA7Z28eElaewm2LOsNNkebkD9+xcxesNqNqTi+/kV4+AD3f6JrylH2ew9MFgEeIjWztza+Alad5w4phBbgTFHiBLwKWFI0ohyWz586HJbCrrBcedCB52iduZ3nKLtu/I1aMuNUJfVl9lKcddoti5CnVJk/DEp7Su0UZQrtF2TT2YMJTZSaT8LQ0VTo+IKr0C2o83AZn4jJr/J3GmOX6+AS5tcd9ogxCmTdbt3+E4/Crz3wL/gE7f+H8V9+c/fX8ue9/+FGlMcO1+SPSti+dcKUi73Wl0gFOddrs6YXHQUm2a6lEpgN1TBY/+McA/Kt84cKv4P2vv/9+9J6zwy0Hs4nXeDJTT78UTK9VGzbro0BvW63x9a7EuV7udH/KuIBoRKokPyBLp+Wp0ulm0p5atYQ5tGdUUJ4SUi2d2YCWp8qu5Sk7zwMpT7kyQ4rCyF6LzOkAg+QpkqcIxI2xc+0Lex85vHbejoj3pL9ZMeN+MNLHt7wS8Z4gEIguGXiL0UGenjt3Dpx+9vmp8DolZaOhu4EZM2G6zI8/+TS8zgsvvhTuxXrTTr8C3dmnn33OlpSWj4V3Z7NeXpc8PXb8RHj7773/AXRzUUzIJ2wq/HX69Bk2UrJLYCTmw488Bk/lKuIqkxCTrdC0ZFmHNn/55ZcVq9bALafY0NQewg+hPH3//Q87lBvMjvse2M6uImdfcNsiVp6yWVABI0aOgYW1ixqEUiU8BlMHbgH544/gmvdhRaW9fEhYedpBpgskiuUr7wTdZvOZwtfMWXN7+Y308gHo+UbXlKcw/PZqWOxwB3rzK2DlqdnmhhVmVdfAEjY1am5BESxhdSocXeddpAYLSJ72CSRP4/kajpSVO4hbDvrbkVBxPPXNlacpipA8VYbkqaaL3aJwI53w1NQmT4MJT8tSJRMDwhn+FDrhqSNhuSVurSG6huInSrs1d7AnpKL2rubPL5z/rb6h1WwNyJVGTKaXYOSs6oUqjQWTG6Qy/XD/1qaxv1Xk79NpM6Qy0kAUVRa+3Tj2zwxHvQSj5anTnVkzv0GpNoPLwbvTnbX6zru++eqXJVUfKhRl3G4yrsIOCBTGZfqENYaYZdb4BkfifE9yJZ32VAhGNCwgy/Qze0a5VTYnLU9Js7ZNnurC5GlozyhWnoL57DDDAypP6RsZksD3jraKigRIniJ5ikAgEAjEoGbgLUYHefrV13Qk/tmzX4TXGT2uArobuIQc7lAE3sPrHDx0ONyL9aadfgXaJbjZOqSP8vT4iZPh7cN0mRcv/gZPo+O5Uyur9u0/CLNesq8eYmzvvf9BUGH6jNnwdNyEyeB016O7w+tk5RY++fSz7K5B8HXXZnpJuIYwwlN2uXdnoDw9dPhIeGEgPRsm9zx37tzDjzw2rXLW3ffcD5vqEHkavvHRqLETYWHd4kaxTA2Pwbf8/J4XO5CakdPLh4SVp2CYbB2+SA4jcP/+++8X974MHpWq2fNgtQ6Rpz1/I9d8AK55o2vKUzB7sAKUzp3pza+AladsRldWnkINHdVJnsKO/eerr/v7R9R/IHnaJ5A8Dck1xK3OTV22r2+LPFW2LdsPylMdI0/hblFBeap1uDRutyrgVWT7FcMDWHmqZJJfUOXn17o5zfaElebYDfohY0kZeAK7e0pBNziYJsfy2H++/J4g3SKJTqYwyBQwkyk5vHis050lwUgmq6lWrysck/UEvWxfqhqX81Rp2g6dNlOC0RlRwVUlpeNHjpqkUJkwuZ5pxCAQ4yUjxv/y098eYgtXRjvE7rqRLDNW6cVrDdErLHFNjoSFHs5Mf8rEgLAsICkMYPSeUR4ls2eUxmTTkGYtmAF6zyhGnsray9MOe0aF5jb4PqDyVEqRnvyqKvDXrNv5R/QfXCRPkTxFIBAIBGIwM/AWo4M8PXDwEPSJ4UFtW7fdGy659u0/CE+NFiesIMJUcHcg1ov1pp1+5ZruDAAzhIbLU28gszt5eu7cOXaReDJfAv0jG1mJKfC0zFxwEM8RpGflb956N2yHDSztzEf//jjcu0GDyQZXAnhCmcefwRNgQ2I5VqdvYV09lKEwOjU6ngu3pQoPbARjfPvY8Qcf2gm/Glj/jX0Hwu/77HN7rjKbGsG8qFFh/g5mOGXl6eKGZvYqdrH52PGTokIxleH6UqbU8UVy9rQ3DwkrT+HUQebNr4OFJWWjYcmwolJYUjmzuvffyDUfgGve6JrytKF5KawA09RCXn3tjRdefKl2UUMvfwU3IE+hfu1Bmt/6IHnaJ5A8Dcq1yA8B0S03S54yq/XhQVCeChh5KmwfeSrHw+Up+LdMa7bD3aJUqV5FdkBeFMBGBcSTmN2ial1JS+zxK02xd1FRGTqc303UJxwFX24qDxz47LPTHK5CpjBIMFJvdPtT8wnKiRP22rpmoRiHK/eZDaO0IqkaHIN3MYZLZXqMyYgqkujqG1rVWotKY7Ha0zRaK2gHtEYZPBfP/3eYZb9AboebNXXZDQ5mKKQ0a/XRK82xzfaEhW5OlY9fERCWB8TDaXkqD3iCe0aZbBrKotWZcI1ep6aIoDzF6VkShSJPQyv34XwGJ5kXkqfcAZCnTP04vnrR0odSeAouWrMfCZA8RfIUgUAgEIhBzcBbjA7ydGplFdQ0R998G6fMsYn8SVNnwNyabB24KTx4ffjhv4pGlBeVlJ84+Q4sYb1Yb9rpmRlVc2Ako0CiuIFx9UaewlXk4KUlTWqdAZQ43AFY8tDOR8B9oQ3svD0RuxvShru2RIU2egIvMBWwAmgQlmzZdk+Xw0kRK65cufL99z+w3YNJQg1mBzxlU4iu27AJloA5hDlDwbTDkseffBrWaWhemsgVKtQkbIRNstmlPAWnV5mtn+BmVnIVAecKvOAWUqw8/fqbb6DbBe+gq1eZHaJgQs+dDz8K61RMqQSnSTwRXDV/5szZZL6klw9Jl/K0uSWYrABujgRGveeFvbCkavY8WOea30hvHoBr3qizPJ1VXQO/RLhrFviyYIXPPj8FU83Onjsflmzasq2Xv4IbkKdQzc+eU8MODUwg7BicSdA9eAqa6rLnPfPgQztBzTXrNq3xjWUAACAASURBVN7A766XIHnaJ5A8ZQMbIz0ERLcMqDzFGXlK0PJUa+xCnuYG5EWp2OiAeIpfMNvHq3NxWmwJK42xG6ghFpzqUZ5SckVxlvbA63u+PXz0cMvSVcdPvHP+/AXwzxj4d+jddz947/0PdYRDpjAw8pRRqPK2dwg45qWoHn/8mdde2//9dz/89ttv4NoDB49UzV6w96XX3t7/Yx75FqbI42LGLh9prsyQjOk9BLlOP3SlKXaJLaHWlTTLx5scEIwKiMG4clh56lKDUeuhPDXowGwo+i5PJf0iTwFKd/6Ohx8fkqjgIXkaCZA8RfIUgUAgEIhBTf/Ziu7oIE+HxiXDeEz4YnNBXrz4m8efwdY5cvStq2GvX8+f77AXUG/a6Zltd98HL1GoyRsY1zXdWVSYcbvKbPgexThNuE0TfE2rnBUVUnWXLl0C7z//fI5dRH/u3Dm4Pb3N5YNhj2CYYGaOHH2T3anJZHV1OZzi0lHg+OlnnoOf8gQYuPbHH39ie5vEE8EphaN4Y98BqC/D+w/+fwi3bg+fYfBauXotrNClPGXjJb/97ru9L78ChsNeC2MhWXkKhgw++vLL/1y5cgWW3LlmPWxES5pgGOlVxrGyx8tX3tn7h6RLeRpIz4a3++OPP1565dUzZ86y3Vu2YjWsc81vpDcPwDVv1FmewkwL4MUG7d5z7wPsANnLwcQqNWQvfwU3IE/fefe9q2E5UqNCOR/ACxz0suc9ALMNvH3seB//tvQAkqd9AslT5n/ykV+TjrgG0p7lqZojwjliXbKYMacSigu+VqkemjUevX7cwA/JUz69uRCDHC7Yp+WpSKUXafQSDYXhlBwnFQSppgjcoCOMOoMFt9i1DrfG61aleZW5AUVxABsTkEz1C6u9KY3WrBZb7CpjzHp9tEZjAo9id08peEQpVU0ucWiY6dC9q0/99+/Lr766r2xkBWXwKNUmk8U3Z+6iNWs3pQi1rCcNBxZKpMSGjdumTKs2mLwKlUlv9IweM+X1Nw6AfxIeuut0gfFgHvmmWjm+hx9LMqbX46a1VPRKU9wSW0KdizPbx5/iF44KSIsDshy/AozR41Y5XBowar0FJ0w6rYFQUYSSIMHMgPkBsyRWB+eNkaf6FGZiU9jNuEIKlYfBgdNfH/ONUDyJ0SOrTBRpE0WamyhPBbjrrrsfi42XR/oP0W0KF8lTJE8RCAQCgRjM9J+t6I4O8hQQl5SycvVaNrgPvPYfOGhxeMOv4vDFd23e+vU33/z22++vvvaG2eaG+UN/PX/+utrpgQGQp6TBCj0ReJ2/cGFILAcUrt+4me1w3eLGqJCqO3L0rYamFihJweu99z8IH4vTk/ri3pehzoOvN986Fq6JOwxn7fq7wPG8+XXw0+HFI8Hps8/tCR+CRK6574HtrB69ysR1wkhPFrvLD7d0h6+ffz4XvhlXl/I0JoG3fcfDrA89cvTNtMw86PVgNlVWns6eU3P8xEl4DL7o1WvWwSmC2Fw+MEb21j/++NOi+qbreki6lKewAxcuXoQfnT37RWFxGUxxAOYcVujNN9KbB6DnG/VGQQ6NS16xag3bCHi9/sZ+1pj35ldwvfI0mS8Bjxn4osNnrD/kKZjeG/jd9RIkT/sEkqdxPDUdroi4tYnlKrvZMEqULCKSBHiyiEwWU1yxnifR86QGntTIk5r4GMScImuHUM6gMIkUJjFAaRKrTBK1CdMY5bhBgetVhF5D6XUGijSRRgtps+tcLtzr1mZ4NXl+ZUlAMTaATfVLqr2JzdR9S7VPLKcc66hYpdrcszy1albmkodKXUd++PbPVas3pgjVMGMpTF0qwciCYeWL65eKpUTQmYYFnEJ/Oq1yrsHkATXhKbw8mae4557t7739cw5xII88olPN7ME/go90WvMaMnaFMWGJjVPn5FV7BVP8kjF+rNivyPWr0j0aMFKnU2e168DYwQzgBkpDUUpCD2ZGhhulGqNEbQQzJmYmUMggkJsB7AwLZGYw7QwmvtTEozHyJAbwqyxVrl+kfcsiHQe+spuV8zQ+RVNbfz8nAUPL9iMCkqdIniIQCAQCMajpP1txvUTHcymjzelJFUqVHT4yWV2gHC4MZ4EercPeOD23cyswNC5Zb7JbHF42e2YUs5UQ6DC7hTqr6qIYIQg+6m6X82S+xGxzO9yBDpPTmdHjKhqaWlRaCp56A5ngtINDhMQm8nV6i9uXrsL13bUmU+pABS1pArPdy4GniBVgIDBAsgOsPM0tKIpi4lvtLj8YeJftSBVacGvSYI1J4N3wQ9KZhGQh+FLYJAYd6P030scb9RLwHVnsHjBL3S2Kv4m/AkyBg0dlQsXUPrbTMy/uffnJp5/tv/aRPO0TSJ4iBhcdv8RYiRkb26r5pFn7QTtwhg6n7VnSnpZwdAzEB0tDtBLv0ZDvLiPeWUacWEYcb9W93ao7ulR7sEX9QaPqVItmo1JDB11295SCR9SuWZ+hPvDyU19v3vIAFKDgPUWotTnS2YX5dHgpRookuiSuPLR/FJGULIdGlV3Fr1CZXZ4scK0EI8BpilCza9eTLz/1bS5xmFRV9yxPtZqMRtWLzepXWjT7lmoPgVG0Em+DES0jToLRtZL0SJfS430fjh3MQ3BCwqYITlpz2EEXdJh87QdLtB82a99fg3+9mbiwQHswXqS64+ZsGEWmjpz5+vPb+DIy0n+LbkeQPEXyFIFAIBCIQU2/CpGbBZss8rnnX4DKLLegCGZyfObZ5yPevZtOuKq7HeggT2+Mfn1IbrdvZIApGzUOfFNwZ7B+AsnTPnE7y1PW13RZjril6NKcRjGOhg5gFOi4IibsVGzgSYx8qYnBnIKZUjDwbkmRWQRhCOU0IoWZjTyVqExSjQnTmOS4SYkb1YRRSxkIg54y6U0WymYnXS7C58YzvNo8v7okoBzrl0/1Sau9yc3U1hZ893LSv5aMv2bkqQ1fuXDi+x9//BlfoIEOtHXZmtOnvv7zj7+2b3+EjTCVKQxjxk49fvyd/IIyCUYWjxj39rGTaRmF0LfSFeT6x5945r//vfT55182L1khFOPgEpPF/+OPv0zIPEH0KvI0boUhcYk1uc7Jn+0VTvFLx/jlxX4lGF26RwtG6nQRYNRGCwVmQGfQg9kAcwJmRo4bMY1RqqZnTKKAwadgGs1wSsMnmZ52GnOK1MynMfElRvDbLFGuqdUccWJTwFd2syJPobxLDiV5iPSfo9sOJE+RPEUgEAgEYlATcW/SGzSEEe7zfpXZmwgasatMSse0zLyId++mc7upupsiT/v1IbndvpGBJCaBd+rU6ZbWFf16FyRP+8RtLk+ROR0A+nWSmZynBONo6JynHCbnaTKT85TZMErPbFsUTL7JbhgVynkK3vXBDaO6ynmqbZfzlN4wisl5Ki8OYKMDkilMztMGS/YS65AVhpi11NBr5DyVURrp3COv/lzf0CpTGMRSYsbMmi9OXXxww+f7DxzmpahgzCnUo2ZrYNejTxKUExw7XZnPP7+X1LvCt5BSqE1nznyxaenHpz/9pWTEOBis2rL0zke2fC2Xjuvhx5KM6SmtaQ01dLkxttmaUOvkzPLymJynkqIAvWFUqlfpDuU8NQRznupUFKFgcp5KmZynovY5T+FuUR02jKKHDCaf/m2CHyb92wRfCl9i9Mmq4kXKRPqHid8secoLrdZnr+1wEEqea2CPeWE3Cj/oXNjhFqFqHet06ECXfeuue3RnejGoLiuEPu1q3kKf9jyl1+x5b1pA8jTi/5ojEAgEAoG4YSKuTnqJy5v26mtv/PFHMN3kpUuXDh85mjesOOId6w+Onzh56tTpx598OuI9GRgmTp4OxgsIpGf3pZ3+e0hut29kgIlN5Pf3LZA87RO3szxlV4KD/+cj+o/ugkZvnjzVJQhU9O7tYpxOkCph9owCjwEtT6lwaxYmT4PKT6CggvJUSYk09D7yUpyU44ScIFSUTmvU6Yw6vUVrtmscbrXbrUr1KnIDsuJUbFRAPNkvmO3j1jo5S6zxK4wx66ghZpzi9+C5ZHoet/CLz38zmvxMhlPq7NkvC80Hz3x6MTOrWK40YnL9qNGTt2y9H+pRkZQA1eCxUKwD7wIRftfme12eLLicPy19+Ptv/zJ12LHLV/9SqMyggt2R/uVnf0pleTyZses+YHoOpncTFJSnTdaEha6kWT4eGEt5QFyUSsvTgEfhcqvsLjUYNRi7zoRraHmqU+gIGU5IcXqWRGoKzFhInlKsP+WFyVPGWeu5Mgr6Mhr6V0l/O0liHf193ZQNo7oZJrj1EJF6qEgFjpPAw8A0y5ES/xCqeLRBJhOZneKGitT/V6jihklGLkYOFWuGiDS8Tm6Urs+XxaQoOfTjZOTLjbxwt4jp7+BKuZ0kJrwwUYzDgwSRMkGsC5eSyVIiuZtRg0K+zNidWmUbB3UAXdpeMJwhfBkP69Z+whaSJLouZx6UpMhNsA89TziSpxH/1xyBQCAQCMQNE3Fvcl0MieWIMJVQqgzfRwiBCAc9JIjOIHnaJ5A8TRBoYUwcoj9IEhP9Gnx6Y/KUMX3dyFMtLU8VOlqeagxh8tQVlKfZAdnwAFYeEE/yC6p8vIXOpCZb/HJjzHryjnQdzgfPYTdPKVemTxDoP/vsS7nSqFAZ8wpGfnjylxxi/2efnZHK6GhTgnJ9/dWP33zzHRthGh5qCq7yeHMunP/tp59+MVl8MoWBw1V89unpMalHrl696gvkgRK11vrDD+dEKjt9x27MFAczFJKaO8mhy0yxjbaE+S7OTB+vwi8cGRAXBrBsVp461SabhrJodUYoTwn59ctTbgd5KqXlKUes6295Chgi1O4ctvrB4ZsTxarprmlSqZaLGfkKb2varCTMoCNKp5vyo6VEmqHoueI7E4VqnoyKEqriJIRElXlPVvPuopUxtPvTJkmoMNFperjlrda5z6mVmuzcpQ3Tt1v0fnDhUL4sUULGCdULK7bwpfSzx5QQSWJtTIoiXoQniPGlVU+CY1BidFc6zTnJmD5eqBzKVyQIlTb/AilfmkA7Ze0QvowjpUImFzwz9uqKe8BDlSTRxQlVMUINmMzoFHmcSMvMLT3DAlXuwmkPzSpvBcexAkV0ipKHGTgSfChfniTVDxEYKstXxwk1CSI1uBD0iislwEfRAiU3ZFSH8oSzxq6/gysGDcYIFDECVfC7ozGWlqyvn3o/gbsSRWpwIUdKxjICOh70QUoO4WFJ4OeG5CmSpwgEAoFADGYiLjUQCASiv0HytE8geRpyBIh+AXw70RzFLSJPWVh5msLIUwGUp+qgPJXhtCgMyVOcsmhNdq3dpXG5VQGvItsvLwxgIwOSiX7BTB9vgYvTaEtYZopdQw4ZRcrAE9jDg/rPRNkLe18TiLQKlXHKtOojr/0wJvXI0TffEohwqYyaXV37zM7/3L/m8717X1drrewSfrivlEpjOXDg0I5NZ74+88eoMZPlSmMiR3b8xLszSo79/P2VYcPLYZjqs3tejhfg3O61VLLMWEmJV1FDW02xDfaE+W7ODB9/gl9YFpCAcWX55X6Psk2emkPylNQF5amWniUhI08FIXkKJzM0t8H3LiJPB0yeYvp4iW6YeUSBZSSuzT08bvuWvDqt0lwZmLMmY1a0RL+5aNOBketnOkr+IZBtyGlJFKic1IgNOQ1LfdM4MmumYViZZUSSlJi8YGnAl9qWggAzlORWZQamYSrny+s+cVlLlBq7P2PJomk70xzD0rMbV858kCvBTa7pc8dvHZNT6cloWDDhnvljVni8s1/b/E3NhPVKKnvxjKc8Fm+y3F037fH5EzbrTYUbGk42Ttpq1ntKi9dWj9+K4w6Y7oAvM1jclevnPJ9pTUvLbmqc+tCGubsJc3ndlIcWTdyUIgtmHpDpZ1QXN9bMPoxhugml62onPyjFtKVFq+un3Geh/AX5TXUVm+IEynkzdjdOf3T68Hm+zObaKTvWzd0dx0TXgp9JRubip1Z/NKO8VSSz103ZXj/lQZkSelUjRmS/seZfNksRprQXFq6pm/5orn9C08wno4XU5OJGh3f2nPHbitMmJUlIJE8j/q85AoFAIBCIGybiUgOBQCD6GyRP+wSSpzdH1iC6Ak5szK0kT1m1B4MlGXlKdYg8DcpTkpanOJSnNo3dSctTv0eR5ZcPC2BlAcl4v7DSx69xcertCUtNsauoodUkL6HH9dFJYmLOwiaFyqRQGWdW1Rx8+fsxqUffevsYlKdjxk478NJ3qYo3jh/6+e2330nPGC6WEiIJIcGorJySL7748sXHv05T7vvp+z8Lh4+C8vTkO+9PLzz2/VeXi0vGyhQGUDisbGKiiOiuAwCBwrSESlhJRbeY4xbbE+e5OWAUYCylAUlBAMv0y31updOtsjk1RquWNGvBDKj1jDzFCaydPGXDTilmJm8leRq24j5BrG5Jr1VhOOhPAmZ+tKAFfEdW05QljhExUipapN6c25ooVD008uFt+YtfH3VPggjny5i4XYDCxMPCI0+DB8kYhVsm3tP4TmlaxZ4Nn8amMJGnKdiW2pfAoJbXHps1ds3m+U9m5N8pT+Ysmr6VI5Q8suzdWIEiWazRmubmeTI4Mnfr3H0VwxYkixTp+euUfEmsUDNh1LbacRswpRU+sRyxasrYByxU+sbp64pKNhVb0zIyZs2vfH7lrAd2rPhYqbHzGaUrJSY/sfr0o02vJ4h1o0tWrpr/EqU1t0y9+/9L5INe/Z9k6fxpu4bwZOvq35TIfFvnPzmv+mRF8Z3LJt+dIA0a0iHclJXVT/yTw7OmrvBTLkvqgorMCTwmDwD4yszuWduXvJtuL8jIql9U9cTcMStKyh52+BYOT5uysfGT6aPWbK7eES9UIXka8X/NEQgEAoFA3DARlxoIBALR3yB52ieQPA2PkUTcXG5BecoLqb22yFNFSJ6qKRErT3FCSerUjDwlzbjRqrE5NU6X2udWZvrk+QHZiIB0nF80zc+f605e5EhcYo5doY9eQsYnKqzdKSE4G6Qt3e7MTOYp163f/Ppz32fr9n//3TmN1iaSEqPGTPj2Pxf+9c6vi6e83zjj/dOf/frVV9+c/eI/X3/97elPLtSMfWd13Ueff3Txh2//Ki4dIxTjQrHu7JnvC4wH/nXiwryaxQlJmMOdKVSZe/pSML1GZVhPRi3XRzdb4uocSdWe5Km+lLEBUUlAkh/A0n0Kr1vpdKmsDlqeEmYcylNlB3mq6ihP2chTyK0jT3kYWR2oe6qwWaMwz0ub/3HFw8VkGkWUvDVq21Rb4QhHxcmJu2Y7yyd4ax8rXLYhvSZeQgYvlBCL1t6dn52dIu/YZorK0zpj99I5r8wYVl0z+3DT9F15/tKCYUte2vhFceq4vOEb6iffM2N4Xc7wzVqBZEnVfTyJctOSzxdMWEcYclrmHFg/dzthLGqZ+dSO1o+MpDs1s/nOmY8YyMC0MQ/UzXipwF3MYcRitJBaPusZj2fczuUfzpy4o9SWLVCYfBn1d81/oaXyMRGT1paJPJ1ZmT9v3MSnSDz3vvqD6+uO2fTOljmvN019wGPKGFaw5NFVHxemjrir6aRWm3vfwmcWLXj3zuony7KnJYXyA3DEmnWLjs0d3SrX5m1b8MLampdJjQWOVK5LXz5j19qFh0ZmVT278ccVNQcXV6xNUWfvXXcKk+snj99VM2HLuIIF8WIdkqcR/9ccgUAgEAjEDdMfnmJoXHI8RwCIjueC07ikFHgacYEywMQk8ODAYfJNeHxde+PASyCgtYiPCIEYpCB52ieQPGX+Jx/55e3/s9DL9uW3kDxlaC9P25btAyRaEgvKU0Kt1+EGnDDR8tTq0DpdKq9bmeGT5wVkxQHpGL94ij+l2sOtdSQ1W+KWGWJWkUM1Omtyj3ujJ4p0LSvWvfHGwX+//9Ok3LeztPvffeuXGTNrWpdsvrvxr6UTr6yeeeXdQ1c2t36yYOI7axZ9tHHJx6vr/gWOd24+ffiFyyumXWmZeOXBZX8uXrSmqXnl849+la7aNyb1zVOfnHv72Ik5C5t6kI9c5geShmvXEne0GmOarPELnUmzvNzJ/pTRATEYUW5Alu5VeNwqh1tlcWgMFi0YO5SniqA8JcH8iDQULU8VXctTfptqjKQ8ZYfMSDqjSZcmkBn0eMCA+7VKKwejcI2PVDvAu1EXMGg9SVLKgKfqVI7wp1eM2wWKjqHETIMGDZVFUOngMeNI9aQxV6Qwq6lMXJ+l0flACWXKk2ucQpWTLyUxjRPMQIrCoTfmiJQ2vSmXMuUKFWatPkeDe5i/PwbSlC9RmjE8oDdmsXdPxoxStSNRopNqfZjGLZKbuPSeVxS4NU4E2Go8uVWqsvHkFrHCqCYz1ERAqDCBQtKYw8corT6LMGRpCY8c9/FlJrnWvXXpp9PKVt1Xf2RoipydIqHSRRmzwXCUZIYSd7N/FXkyo86Qg5MB8BdVovFpyTSxyg6ecJXOy3xqMpjzMbWdi3KeInmKQCAQCMRgpj88xZyahXC785Wr14LTr77+Gp5y+OIBsCRWp6+opDzisgbw9DPPwYHnFhTp9BZ4fPKdd3t5uUJNXg17oa3eEYgbBsnTPoHkaSxXlSQmEP1EfIoGzvMtK09TaAnIbH9ER54G5akMJxQELU+1Bh1hwg1WrcXB7BnlUqZ5FTn0nlHScr+4wp9S5eEtcCY12OJbjTGryaGjqbZ9eLpDpHRPH34iC9+fQxzIIw/MKj3588+/7Fp/ecmEK0vG0yweeeXQc1dOvH7l5L4g4PjAs1eax12BdRpGX358819//fnfyXnH8qgDueTBbGJfWfpTCSJNh5G2A9MnYsappGgFFb3UGFNvS6hxcWZ6eRV+wciABIwoxy9P9SpcLhUYqdmu1TPyVEvvFqUDs8HsFtWFPGUTyLJzCw8iu2FUOFx6P3r6rwR454eV8DEGppDbdsCGrOrb3js1yAvb4D60GT1dEmrcGN5IWzXmnakPPjXCCsH67dvkheYB3iu8KfYuPNYO09uRwQEa2clnjvX8UK/oZfgyumaKyp+TMV2Du9gHFepgtg+8sEnoYqSh2YM/K7YEydOI/2uOQCAQCATihukPTxEpeZrMl9xz34OXL19ublkWcVkTheQpAnHLgORpn0DyFDEwRFCeMo9Hx2emkzzVC1WhPaNwMihPKVqe6ky43qI12zV2l9rlCu4ZNSyAlQYkE+i0p7x5Ls5iewK9cp+KXkVGCxXGHqwQ9IkKZUkucTCHOABIV+178fGv18290syY0+Zx9MHisit1I9qxeCTz0bigYL2n6crOLaeztPthI3nkEZliGBczdmseGcsmUVtaydhl+phmc+wie8Jcd/J0H38ck/B0WHC3KFqe0rtF2TWUGddBeUqG5Km2TZ4KupGnYSONfOQpoovHDws+DDAw/GY1i+RpxP81RyAQCAQCccP0h6eYWlkFfV9jcys4/fSzz8HxpUuX+nvhuS81C973FpGnDz/yGOxPID0bU+Dw+PCRo728nJWny1asliq0PAEW8REhEIMUJE/7xO0sT1lf009eDzEAM9x7edpl8ClcdU4v21eEydP2e0bpjDhl1ppsWibtqcrnUWTQaU+xkoBkjF801QdX7ic2meNa9TFriX86cfrWPfvTZIw0qutzicM5xIFc8sDyef86+OyVxjGXoTxdMuHKB2/9fXz/7ycO/n7iAM3xA79/8u6l5VODkaeLR15+46lLE7PfytYx5pR4E1dO52JkT9oR03OlVCGhupOIajXENFriFjqSZnm4U3z80X5RcUAKRgTG5XUrHS6VzaEx2jSkGQdj18CEp7qgPAXzI1IzgbqMdA6Tp52HGTF5ChtJkpJJtK3rokFWIIIKyV1X6LaF4EcSXRJ40jAKBnjyOkZrhsWEtr+WCeRkPpVSHLg6vvsh0DPGcBNFZ3+A5CmSpwgEAoFADGr6w1M43AFo/UrLx0aFAjA/+fQz+KlOb9Gb7BK5BhxrCOO4CZMLho/oMhOo05NaPmbCxMnThxWV8oSy8I9IgxU0IsJUiVzh6HEVoAJocOz4SfC+m7ZsA58m8USgppY0gWO5igDHmAIHDYJq4KDz7UBnykaNGz9xis3l6/BR59uxHVbh+uHFI2EnQYXwqxbW1cP+wM7/+ONP4Pje+x+En4IOgzYBMDNsZ1h5Wre4MeLuCYEY1CB52ieQPEUManq/bJ+Vp/z2e0YJlDD4VA9X7kN5iuFkcM8oPbtnlNZKr9xXedzKdK881y8rCkjLA/TK/Zle7nwnp94a32KMWU5FV5EpXCY9ZQ+5Rxl/SljUy3OJQ7nkgXzDwSOv/fjk1ssbaq7c23zl1Ed/zS47CcoBMLAUsGjKe+8e/ntb/RVQ56WHL7/23LeZobBTo7r+Gs6REVVcubmBiAc9XGKMXWxLmOfizPDyKnyCkX7x8ACWE5CleeVut9LuUtMJT63Mmn24WxRBwN2iJLQ8pWcJzBUTdqrvIE/br9mPYOSpPkFClVnLR9jG8ujHQM9pl9rYIJTbcaWNg5Ej7WMkzJ8Oenf7tjpUMka3UGoqKreOjJcQbQlGQz60MH9Rbno1QXplGidPZhQr6Vy30HImY0Yc9zLHBr0hgyNtuzyZDv51Y2oHeD5lZJ7LksORtslEblsL9FzxZJTJNirNMc5tLwDVIv03tieQPEXyFIFAIBCIQU1/eIrYRP75Cxf+/PNPnDKD04amFnC8+4mn4Kc//fTz1atX73tg+7oNmy5fvgz94NfffBNIz2Zb0Okt//ro3+GL1v/+++/weNKLF38DhVu23fPBBx/CCi+9/MrV9q+iEXTm01OnToPj5/e82NjcChqBH/3111/z5teFd/ihnY+wnQGvt48dV2rIHm5X37hEhKleePGlK1euhHdy67Z7h8Ylw6vSs/LBwE+fPgNPX3rlVXA6e04NPN12933wKoWa7HIaVj1JqwAAIABJREFUkTxFIG4WSJ72CSRPEYOaXkae8mQdI08BKQpWntJxlLQ8VVHiYNpTWp4qSEJFhaU9tWuZlfvKVK88i1m5XxaQjPcLpnv5c9zJdfaEJnPcMn3MGuIOmxY8jdewXdCf6tW1eeSRHHJ/hmb/0uoPj7z+3e77zuSSB5mI1IPhgJJS15Gnd35x+NXvFk58N025L4fYl0e+qVPNvEbMaeh2PkK/ihjSqqfDTmvtidVu7jRfClyzX+CXBdfsu1V2pwYmPNUZGXnKJDyVw4SnGkaequgsB+HyFBzwgj6avV2E5WmUSLW9YNX9hZs4UsKApweojHgpqVO7+DKTTmWfnt68O3eBR+d+smRzPpmJYfpYMe7R58lkerHSqVR5HDrf/xERO7LmPzxs1T9EGrHGKVKbucHUorRm3dr60Yo5+/JTx3/55FV7oHHHoofjpHa/d5RAZnCnVj8wa7vJlGOwV+xdedBlywdfEI9JqGp0Tn+85eim+S+ptXa/fxJOeFMUNq0+B9P4MJWVr3D63KWJElKmDVgcpSmYvrR42ayy9TOLqxMkBIo8vZVB8hSBQCAQiEHNwFsMKE9//fVX8H727BdwUT94/fLLL2xAKDSnly5demPfgdde3/f773/AOnqTHVaANpMtv3LlyopVa0B9eHr58mVwPLx4ZFRInl64eBG8H33z7SNH32LrqLQUbO3Bh3bCwn9//Mm+/QdhOx988CEbE9r5dmqdYfcTT8HCnQ8/unHT1hMn32G9am/mAclTBGLAQPK0TyB5ihjU9EWehtKe6oMr9xl5KlLT8pRNe6qiQiv3LbjJpgmu3HcHV+4X+6Wj/aLJvpQqD3e+I4kOPjXELCeHziG4iXJzz3ooFIpIKRVlGbo9ueThLHw/BMaTdjCnELqC9kCWbn8eeThN9zQmH8YGLfb0A8H0YoVxKQH6xoSdWuNrnJyZHu4kX8oovxiMIs8va7dm38okPDXiGma3qHZr9jX68N2i2MhTXid5Cu8bwWX7QrlZKDfFS4gSy6iVOS0mpfGBnFq1Jme7f+wY74L7MmdbtI49ox6Z65r0atGSjQUbJ1pG7CpcozVOfjCrZlnmYo5IAS4XMd+jv2xWTmYeN7xxpQ2gINI3z3pm6fSdcyruVupHDx++cvHEDQb7xE1TtxJUms5U/uSSvWZTJo+22/SfKa1p9JbaN8oywF9dc1r6rGmFs3Bn1a6mA3fP21s7ek3D9EctzulT8+ctn7ffY5+4YOTsJKk+RW5KYQKZI/039hoTjuRpxP81RyAQCAQCccMMvMWA8hS81q6/C5a0tK4ILxHL1I/tfuKjf388tbIKVphQMRVWGD9xCiyBNhO8VqxaI5Qq07Pyo7rJeQrlKXhVzqyGJdt3PAxLiktHRTFL8mH06JNPPzsklgNKikrKYYUx4yp6uB3cCGvPC3thneh47o6du9Zt2AQu7808lJSNvnPtBgA3RdplBSRPEYibBZKnfQLJU8Sg5mbKU8afwrSnklDaUyVJwJX7RNjKfbdbmeaVZ/vlhX5sJL1tFBN86kqutSU0meKW6mNWEEPSCOKaHpD1pwKZ06xpydS9lEscyqE3ktrPcKA9sPAgqJOue16vquVhht5oU+YWhgKdaqUuCvStwRy30J5Q7U6e5uWP9wtKAxIwCjCWVK/c7VLZXSqLPbhmHzcwa/ZJXdiafVKk1ofW7FNs2CkrT0PjCrt7hDaMCu1Zb4iXOl4q2fBQ8QaHxvZQXkOuccyDvtEey7StadOkCsOesnsMSvurRa3PlN7n1Lg25y2jzNOnmAqSgov0g03hzgLK5GmfxtTIlxtVVGlLyXyDIW/WxIdrqw/OmbxjdeV9icq0uyZvFCksAqX/ySV7MZWF3aBJqHLJNb71Tf9Ks2SZHKNmj1ig985dN2VrTfnqxRPub5p6N1+VNbuooW7SI0P4qvpx8+JFunbDuVVB8hTJUwQCgUAgBjUDbzGCkafnz8clpcCS2EQ+DET998efdKjMTZHm5A/fsXMX1IgzqubAcmgzf/vt9/BNqHqQpxcuXmRX01dMqYTVplXOigrLTJqZM4y96j9f0WL04Uce6+F2x46fgBd+/Mmnm7ZsKy0fe3P3dELyFIG4WSB52ieQPEUMaq5LnnbaM0of8qdUW/AplKea0Mp9Aq7cxwkTrrdozXaN3al2utR+jyLTL88PyEr89LZRk30pMz3cGkfSYmt8szG2lYxepYvCVCZeWAe6A2bhTMbIZIwiVLPT8GfziCO5xJEwiwqdKSg8nIo/rlFWJGMEM7RrOzWoqHRaI+jPUiqmyRi7iA47TZrh4dFhpwFRsV+az4Sd+jxyp4tes2+yaSiLVmeiw07hmn0ZLU/pORG1JTylUtrtFqVvf9PQceTkKduBeAl5Z97Se3ObLRr77NQFD+Q2TTblJmPmrcNWt3rL69LmqeWWRv8UTJn5+IgNk83DNPqROURacjDnQNA++8tmZTORp+37pse0OaWB8jgRUZJbl5bZuHzGE2NyqhMk5OzJj9aNW5YoxseOurd1+iaeVMt8ERRpm7Bx4Ut1Y1bIdOlrF76ycfFr+elzKgrmFaVNL0wdnZ2zZEPNc0KZoXxYY5wQL80alSghIv2ntVcgeYrkKQKBQCAQg5qBtxhQnh47fiK88L33P4CKE54KJIrlK+98//0Pw/OQgtfMWXNhBWgzQYXwRnqQp5+fOsWWFJeOCo9FZZfP//77H6BZCLzv28eO93C73IIidiE/fP3111+7n3hKLFPflIlC8hSBuFkgedonkDxFDGpuTJ6yMZJM1KShTZ4qmJX7GmbbKDwYfMqu3Cfp4FMNu21Umo8OPh3ux8r84vE+wTQvv9qVvMCe0GCmF+8vI4ZWkzy+wtwbGxi2lxENX2YRyzOUytG4cjqhqsKV0xSKkSJZKh+zdKjZm2Y5SusCXRLozxJDTL0lboE9cZY7eaqXP84nKPUHw07praJc9Jp9K71mX0uYcdyIa/Q6FRlas4/DsFOY8LSzPO1w39BxpOVp2E5NbZtBdZjD7mgbQvuruvvWOjVOdXO7sJ5IO33aqSTSf1p7O89Inkb8X3MEAoFAIBA3zMBbDChPj584GV4Ik5xevPgbOOaL5GfPfnGV2X/pxb0vL6itr5o9r8vI00OHj4Q30oM8Be2zJUUjysPl6T33PgBP39h34Pk9L4azddu9PdwOQOit2+6+74svvgxXqO+8+x5c/t9HkDxFIG4WSJ72CSRPEYOa3stTXvuV+6Hd4duCTwVMHs/wlfsYTm+UFFq5r2sffKrye+R05lN/MPNphS9lhoc315lUa0toNMW2UNErdVEjCYzTm8X1IWAUKgwpZWJRCUjIuAXr9LIp8Ivgy41TSdFy3ZAWfUyDKW6hLWGOi1Pp5U30pZT7RUWhbKc+j4IJO1WbbRowRjBSrQFXUToFSchh2CmzZj8UdhpMeNpl2Ckv3FNHWp4iBgYkT5E8RSAQCARiUDPwFgPK03PnzrHL9pP5EhjC+fEnn4LTefProDQsKRsNKwwrKg3XnVEhm/nGvgPhLXsDmTcgT2sWLIKncIMpCGW0scv8u7tdPEdgsXvUOgM4Bu+Tp81gN7/SEMa+TxSSpwjEzQLJ0z6B5CliUHO9kac9rtzXt20bpaHgyv0O20aRZm0w+NSp9riVqV55ll9W6MdK/ZKxPuFkL7+KXryfWGeNbzTGLiWjV+iiMggdb8CjCKGZ4sqMw0nVCt0dLWQ06E+dNWGeI3Gmm94naoxPOMIvKfDLsmC2U3db2CnJbhVFBtfs02GnWmbNfjDstONWUe1vHYHIUzYV6a28Jf3/MEieInmKQCAQCMSgZuAtRucNozZu2gpLNty1BZw2tyyDp2WjxkUxGVH3vLAXllTNngcv6dJmOtwBWO2hnY8IJAq+SB7VC3mqJU1ww6gTJ9+Bl8D9qf7888/aRQ3d3Y7QW+HS/iNH3wI9hIWP7HoMlIByoVR5zXmYUTUHxreCrnZZAclTBOJmgeRpn0DyFDGouanylF6NHly5zwSfSuG2UXTwqU6tJ+hto0y4wQqDTzVOl8rnVmT45Ll+WZFfOjK0eH+2izPfnrjYEtdkiG0hhy7TDfFShuTriT/tI1BLJWHGIlK1Ar8D9KHJGLvYEl/DLNif4uWP9QnK/OJCvzTHL0v3yb0ehYMJOzWxYadGeqsoBUGPXda2VRRtToVK/a0mT2lzJyGHclU8FLUaIZA8RfIUgUAgEIhBzcBbDChPL126BN5//vncL7/8AhXhuXPnMAUOKgTSs6HN/OOPP1565dUzZ86ymU+XrVgNG+lSnqaIFf/973/Z5fNwP6hrylPA1m33wpI///wT3A4ef/fd97A/3d1u9xNPwZpff/PNK6++/vmpU/B058OP9mYe2FyrCjXZZQUkTxGImwWSp30CyVPEoOZ6l+13kKe8YNrTjiv3hWranzIr95ngU1374FObxkIHn6rcLjr4NNMvL2AW74/yiSb6UqZ7eNUuzgJbwmJzXJMhpoUYukwXlYWrk2XGfvenoWSaPLlxBCFv1Q2hzakhdpE5fr49YbaLM83Lm+ATwAX7cJ8ov0fucintTjUTdqohmWynar0OjFfOyFMps1UUvWZfxa7Z73arKF773AgDFnkqM/g3b98lk+JInkYEJE+RPEUgEAgEYlAz8BYDytMjR99qaGphN1x67/0PLA4vW2dOzcILFy/Cj86e/aKwuOyjf38Mq8EKXdpMwPqNm1l5Cp1jb+TpkFjOshWrfz1/nr0WtEwarOwlXd4uNpHf2Nz65X++Yq86d+7c6jXr2HQEPYPkKQIxYCB52ieQPEUMaq5LnvK68qd8uaF98Glo5X4o8yncNgpmPtUacJj51GTT2JjF+97QzlHD/NgIv2SMX1jhTZnu4VY7OfNtCYvMcU36mBZy6Ar8jhJCwZeH/Gk/aCN2iyGx0jSOlDKr9Yc2GmJoc2pLqHYlTffwJnpTRvlExfSCfQwu2Pe4lWAUYCxGm4ayaHV0tlMdG3aK4YQUhp3CNftgfpS9DjuVDVzkKVeiTS2YN8xi4wQvRyGoAwqSp0ieIhAIBAIxqBl4i8HKU3DM4YudntQuM4QmJAstDq/B7Lje9vkiOWhTriKu98KYBJ7J6gLX9mbRPcuQWI5SQ7p96XqTPTqeexMnCslTBOJmgeRpn0DyFDGouYHI067kqaFNniopIe1P9UIoT5nMp3I68ynJBp/CxfsWh8buoHeO8nnk6T55jl/G+FPxGJ9wkjel0g39aeIic1wDHX8avUwXtYhIwjRW8JTyer3vUy+BwwQtq3Frgy5uKR1zGt0AY05tCbNpc8qt8KWM9glL/OJhflk2XLDvZvaJcmjMdg0YEcGGnZI6uY62xnCrKJGGYtbs64Udw06DExjWjchEnvJlBkN6+U9fnpBrjQkp6ngRieTpQILkKZKnCAQCgUAMagbeYoTLU0QPsPJ0zbqNepNdptRFvEsIxCAFydM+geQpYlDT98hTXheZT/XhmU+ZxfuEHCcVJKGmdFojrjPhlBmnd46ik5+qXS6l3yuHyU+ZzaNof1rh5Ve6ubOdnBpbYh3jT5vJ6KW6IU14dL5OxVVY4BPL66tCYkZHP/l6kcpcqpMtwYcuJYY0U9ENxtg6S3wNa069tDkdAVOd+mhz6vco4IJ9C21ONaRZG9wnimLDTkkpm+0Uhp0y22p1t2a/Czc9UPKUh+lyimszdHrQ5riaFXWzKqChRgwMSJ4ieYpAIBAIxKBm4C0Gkqe9hJWn8PX4k09HvEsIxCAFydM+cZvLU1B4XUTcFV4v1zvAQTfG65WnkHDBFwqfDM982m7xvkRDSvHg4n0VvXOUDmcW71Nti/fp5KeBoD/FwvwpvX6f9qf2xFpLfL0xtomKXkIMXYbfMZdIdmp1AoUxOcyf9l4atm0uD555TC9UGH1afKEuYTl+RzMxtJGKXmyMXWiJn2dPnOXiTGtvTkEP09tSnaqsDo2p/YJ9JUGPVMYu2IfmlMl2SstlZU/ZTjuK6YFZti8ziNTWhjX3kQoiSWlbtvmBYVlpyf9DYu7WB8lTJE8RCAQCgRjUDLzFOH7i5KlTp5EKvCYype7ixd9YerkPFQKB6AySp33idpanQVcYJ42JV0bHK2K6gflICaoNOrfI+tDoeHkPA4RjHBIvCw1wMI3xBuRpN4v32wef0ov3GWmopsRqsm3nKCK4cxRuxAkznfzUbNfYHRq7U+VxK4L+1Ccr9ElH+MWjGX86zcOtcnHm2hMXWOIXmeIa9DFNZHQzEb1C+49aXYKL0PMUZkahBnVSj/ZQz9bhSelo0xSlJZUgmnQxy/F/NhNDm+il+jF15rgF1gRwR3DfqR7eBDrPqXCET1zox3J9GOhhwCN3uxQOp8pm15jsGjAKwsQs2DfABftEcMG+JiRPlWzYKcXur9Whb13O6oDlPBVq7HqrnwO+cSk1hKNgevK/I+ZufZA8RfIUgUAgEIhBTcSlBgKBQPQ3SJ72idtansZL7ogTC+IdkniPJMEjTfB2CfgIVBDGOwadPI1iBpgUR9IDjO92gNJ4L6wQF6e5beUpT9Zh26iOO0dJtRSzeJ/ZOSqU/JQ04waL1kL7U7XDFfSnmWH+dJRPNMGTMsXDm+FOnu1ImmdNWGiOW2yMbdBHN5HRS4ghLXhUPR4zQSd04oREbUmSm5MwA22XpOB5bgeX8Y+JmIEjN2Nqsw/XTcVTGvDopXhUC61NhzboYxbBgFNbIrhXpTt5ioc/ntkhis5z6pOCXkFzCvoJemtzaMw2jd6qIcx4pwX77feJYsNOb1V5ysi7Nu/MHET8j9JtBJKnSJ4iEAgEAjGoibjUQCAQiP4GydM+cVvLUybsVBLvhurwmkTFYYNOnv4zTsyLN/VmdNJ4LyeOuh3kKa+3mU9paH9KB59SEm3b4n3an+p1WtafWjUd/CnMfzrMJy32i0f6RGO9gkke/jQ3t8rJmWNPrLEm1JriFtEKNaaRjG4ihi7VRbXidzToYqp03FE6abZW5dLiRg2pV1MQk4b0aLU5uHKsTlKt4zTpopfhd7TohjQxi/TroTY1x4GWq+1JVS4OuFeFhz/WJwB3B30o8GE5/qA5dbuZmNPQJlGg/10u2JfAmFN10JyGwk4puLlWr9bsywYu5ymUd/FC3Q2mTEX0DSRPkTxFIBAIBGJQE3GpgUAgEP0Nkqd94jaXpwAoT7uNyoTBp0F5Kh3U8rTnMd6G8vQ6d46i2MX7jD/VBf0pvXmU1mil1+/bGH/qdtP5T9N98my/rMCHFfkkpX7xaK9wgjdlsodX6UqmFaotqcaasMASV2eKW2yIqddHN1LRjUR0k25os27IUvyOZfg/V2j/EQ4oacGjwKeNxFBQs5GEzjSm1hi3wBw3D2pTJ2e6mwvuQgeceoXgvsN9knwfBnqS7qXznAZX64ebU2PInJJgXPTopDidpkCsJoXsPlFK1pz2OtspZMDkqZTSufIWLJjFk6F9oiIAkqdIniIQCAQCMaiJuNRAIBCI/gbJ0z6B5OltIk+vYU5vM3nK69b36bvbOUocXLxPwsX7dPJT6E+NOPSnBqvGHIo/dbsUfo883SvP8snzfFihT1riE5f7RGO8goke/hQ3bzqjUKvtSXOtCfMt8QvNcbWm2EWGGChSGygGkjakEHAMSuqZINPF+pg6Y2ytMXaBOa7GEj/Xljg7TJtO8PDBXeiAU58Y3DfPJ8v00SbX51G4XKHV+rQ51ZDQnBpxxpyyC/YZc9p5n6g2eWroIE+7M9E0AyRP9fF8zYL6exMTMO717LuFuFkgeYrkKQKBQCAQg5qIiIyhccnxHAEgOp4LTuOSUuAp/DQ2kQ9PIeB0IPs2JJYT3rdwYD/B+829Y0wCD94R3BqcRmTUCMT/Nkie9gkkT5E8vT3lKS9k/fjydoWdF+8LQ4v3Q8lPmeDTkD+Fm0eF+1ObQ+Nwqlwupc8jT2VSoOb46BDU4T7JCJ+43BtUqJPdvGlu7gxncpWDU21PnGNLmEeLVDqMdKGJppYxpCywcD4jTOdZ40F92pk6OJWuZNDOpJA2LfeJSnx0wCm4YzaT5BT0wetWOF1KuzOY57RDzKmK7CrVaXDBPiVQ3GjYqWxA5Cnz/aq9hY/semJokjLSf4huU5A8RfIUgUAgEIhBTURExpyahVeZ18rVa8HpV19/DU85fDE4ff/9D6+2f12+fPn773/Y/cRTKlx/0zsTm8ivW9zInpaWj4U3bV2+qkPNixd/A+VffPHlze3A0888B++YW1Ck01vg8cl33o3IV4NA/E+C5GmfQPIUydPbXJ52Lr+GP9WSEi0V7k/VhuD6fZLZP8pk11jtGrtT5XQp6RSobSGodBbUIkahjmSiUMd7UmiL6uFNc3Gnu5JnODhVjqTZ9qTZtsRqG61T51jbqKYjTBNn0cI0aaaTA+pPdXMnu3mghXHelNFMtOkIvxi0z+wNhWX65GnMUn2PS8mYUzXolcmm0VuuZU7BMFWdU51ezz5RLAMiT+n6KtvGex6LiZdF+g/RbQqSp0ieIhAIBAIxqImIyLheecq+QE25iriJPckvLPn81KlLly6xJUieIhD/eyB52ieQPEXy9DaXp9fMfJrCLt5XBoNP6c2j2sef0v7UiMP9o/QWrcmmsTo0dofG4VK6XAqvR5HqlWfQClWW58OG+aTD/ZISn7jMKxrlFY7xCMZ5+BPcvElu3mQ3b4qbO9XFpXWqM5nGlQwPQAkon8II0wo3b4KHB64C15Z7RaXMIv3hIW2a5aN1LR1wGlyqr7Q71BZoTq1awozjnVbrh6U6DcacChVtC/bDzOktKk/j+OpFDff/v/9PIlq2HxGQPEXyFIFAIBCIQU1ERMbUyiqoCBubW8Hpp599Do4vXboUk8CLCpOn4yZMBkyeNmPJ0uXff/8DLNx29303sSevvPo6vDVbMvDy9OFHHoN3DKRnYwocHh8+cjQiXw0C8T8Jkqd9AslTJE9vW3nKkwWtXy92jmpLfkr7UzXjT/H2/hTuH2XECTNOWbTGsCX8TpfS7Vb6PXQoaIaPVqi5Plm+T1rIBKKW+MSlPtFIr3CUVzjaKxjrSRnr4Y/virG0LU0Z7RGAmqD+CJ8YXAtaAO2A1nLCtKmP3hsKBpyqrEySU9Af0CvCRJtTTXCHqC7MaedUp+xUXHfYqWzgNowC33igeNralbVow6iIgOQpkqcIBAKBQAxqIiIyHO4AVISl5WOjQqGXn3z6GfyUlafhl3gDmbDww399FF4+NC45kJ49fuKUohHlCjXZ+V4xCbzUjJxxEyaPGjvR7UsP/4g0WI8cfRPKU73JDnMC3IA8BfctKikHfQA3Av3p3IfYRH7esOIJk6bZXD5wKsJU4Hbg7vDThXX18I48oQyc/vjjT+D43vsfjLhvQiD+Z0DytE8geYrk6e0sT3nXs3if9qeKkD9tH38qD/lTmAKVgEv4rUwIKtxFKrSK3++RpzIL+TN98mzaomL5Pikdi+qTFPkkxYwPHeGjg0nLaIQh6JIRTD7TYqZmIRNnms+EmsLcpmleecBDbwzlDstwCgNOg0lOQ+ZURemUJO18ZXC1Pk5KNGHmVHEzFuxDBkqegktAy1Ec9Y1djugjSJ4ieYpAIBAIxKAmIiIjNpF//sKFP//8E6fM4LShqQUc737iKfhpl/KUmyKFhV/+5yu2sKRs9Jdf/odd1H/p0qXHdj8BarIVJk+b8e1334Uv/D99+gyrUKEMZV9wpfx1ydNkvgTcEdyXbQT0Z8TIMeFXZeUWfvPtt2yFp595bsu2e8ABGDKskJ6VD45Bx+DpS6+8Ck5nz6mJuG9CIP5nQPK0TyB5iuTpbS5PedfrT5n4UyHjT5n9o+j8p7RC1RFKklBRtELFDfQSfsIEQ1BDCtWpphOhOpVul9LLWNQ0xqLC5fzZPgyKVEABo1M7UMAAPs0LCdNMH30tHWrqoXObgjZD0aZKm0NjDWlTykL3BCY5heaUDjjVQXNK+18Jk+dU2GZOu9wk6nr2iWIZKHnaqW/6cNqVyJgS0HOsx2phhV22ydZnP+3w3mWvumzteofWsTPdT36723UzMz13qW1EYLpkwSQJnWsieYrkKQKBQCAQg5qIS43OdClPaxYsgoWHDh+BJWWjxl2+fJlVlqwJPfnOu3CreqPFCSu88+57d23eumPnrt9++x2c/vjjT0k8Eajw66+/XrlyhRWvbx87HhUmTw8eOty6fFU4f//9d7g8jUngHTt+AlYGLYNyeAzaHDV2Iqyj1hl+PX8eFh4/cfKtt4+DG/3++x/h8hSBQPQ3SJ72CSRPkTxF8vSayU8BAiXrT6m29fsaUszEn2Iw/lRHKEL+FIagMrtIafWhVfxWeiE/rVBhLlQPkw7V55EHvHTcaDqzqD+TIcsnY4xqEHjK2lK4Nj/gZZ1pKLcpE20K7gLX6Qf3hgpbqh/cHkoHd4iiey7utFr/mjGnPcxYR24NeZog0SUzB+CdI6XA88CRkvG0yNOnyIz8kEXtfGEHPxgieAz+yIRflSTR0YXStsLODYLhJ4jweDBwWiB2aj90wM4er5OQZW/RVQ/bvhr6t9C+GugeuDVoky838WVtQ+ZBodzN2MF3x3SVoluTBeUpaIH5k9tu0pA8jfi/5ggEAoFAIG6YiEuNzrDy9PEnnwbsfemV06fPsJGbk6fNiGJiV2EW1D/++CMnfzgoiUtK2f3EU7BO7aIGUFI5sxqe2l1+2HLRiPJdj+6uW9wokWtgSQ85T7t7sfKU9bnP73kxkSsEJakZOecvXIB+Np4jACUbN22FdRbW1cOrJk6eDkuQPEUgBgwkT/sEkqdQnvagF+Gng12e9uxP6U9vY3nK650/7bh+X9luCT8WlgJVSeqgQg1mQTUFN5Iy2rRmG1SoGpszaFHpjKjMin6vW+FzMy41iCI1BCzxM/g9sRzfAAAgAElEQVSYmqC+izawSgcMNXWqraFdoQwhbQoznGqhNoVL9XVtSU5pcxoec9qNOb3BBfuQCMlTwBARvqNg1f2FdyVLiUr3NFJp4mNGhSZzZXp1olRv1ZfPsA7ny4zZ5rI9JXcmCdXJzKPCkZJiVda2zKbHilbE0I8QNH2wP0YuZtrZfHRp9TNqpUagzhhTMBcMBM5DsswyZcx6nkSXkzY+XqSlS6QkL8y00kgpk71s2ug1M0avyc6oapy4mhu6KQ9MESMowbOazEwXR0p1lqTQgRbkNehxuz2rdULGJC7dq+DcsnX4MkNB/hK7JTuF/pQRo1KqpHjZ9PJVfnuhzT3u7rpXJWItl75vsJ+MU6Z48qyq3BlxIh0vpGsxrS/Xmy/Es3N94xIZ9ZkkIT2pc3c17eNj9K8M1OEEZ8mA5CkCgUAgEIhBSsSlRmdYedr5dd8D22GdwuIyWLJpyzb2Qp4Ag/GnoIXwOr///seeF/bOX7jY6vR1uFcP8vTcuXOnTp0OB4apsvIUhp3+/fffIkzFXr5y9Vp4OUzn+sEHH8K4VOhSIZ+fOoXkKQIxkCB52iduc3kaFScVh+Rpz4BqUXHYIJSnIm5InvaMNN6bdBvLU14vFu93sX5fSZvHoD/V0FtIBRWqLriLlIoJQW1TqCZcb6FzobIWFcai2pwqu5N2oE7GpUIr6m4PLHSGbCkjTFX0tXaNxU63Bto0WLRUWLQpvU6f0aaqsL2h6CSnzFL9oDlltGl3eU77ZE5lkZOnmD5eQuSainNNpSai7KMpT7xcvlGvtCzPX35/7vwoMfXc6Ic+nLh9lX98lFC5KXdpolBlJIpfKb9nS1oVR2ZL0+eXmEsSJcTc1g3ZGRl8edvAh2dPT/NVCKX42LGPbF7wsk5loKM4AQr3rtU/ZtpzaitWy43jty0+NLFg7vSKHYkSqmD4ioA9FwZ7JghV5syVLq1Layl7euW/drWe1GjdMyqeuL/5GIE7p47feXf9UacxdVbFA3fWvF6RWzl7/L0JAvXauc8JZCRUjcnKtJVz31g5ZZ0tvfnh5pPbmw4Jld6VNW9sq32dK02bOWKW1jk13TXlkdWfb19yaLi7OBmjd9DiSol19UdNxjFbq3fFCbDGyicxkUpMjdlQe6Bl8pZoIblq3iurZz2SKAnMzJ4+u2KHWm2hY1RlRtxU2DKuSmGd0jh27aSJzzzQfHy4f1SSRPdQ00GeROtLr91Wf7g8YxJuGXvX/BeQPEUgEAgEAjFIibjU6AwrT/e+9Apgzwt7H3v8yTvXrE/PymfrzJtfB+tMqJgafu27770Pw1HB8ZBYDnSj4a/Tp8+MnziFrd+DPL1mztNz586B088+PxVep6RsNLy8vnEJOP3hhx/B8ceffBpe54UXX0LyFIEYSJA87RO3uTwFJMWRonjnNYFicXDJU9jhmDhFbwaYEm8NhdYOpjHedHnavT81dPKnFNw/qs2fBpfwh0JQdW0hqLRCNdKJR3UmnDDjFLOW32DVGG0ak01rpgUoE47qYNb1M0v7OwM/Au/QuprpOFOtyUonNmVCTbUEq02NOnadPugDG3DKJjkVd8xz2g/mVBb5Zft0TKUEX5W5mFQY+JghReHcXbA0DjMEbDNa3eVcmXGIULUpd2mCQHl/2Y4nSla+Wr4pURyKu6Q7b+SFIk/Dl+3zZNZdy94bW7a5clglX24CJclK3/0NR2on3rtowrJF1QeaZz585+xdk0fde1f9v1bOeMaMW/nBXa1wV+7aVH065RizctqWzBEPjsqpf27dv5fPf2V80bqGijX/l0cuKm2aO+n+BIHCYy8sHr6qLL1yau7URCZFALhXWt7K6rKmXas+9+WumpY9xZG7euGEPcN8+aRtVo55wtzyuWrntCxH5qTxD3ptefy2yFNifeOJCUWtG2Y/EsuXNlY+JRUpZVTJkpmP3dOwX22vSHcWJUp0fHnOC2u+zfeNZMJsGXlqHHb3vK0lpRvXzti5uWb3UAHVOGVjFF/9UNPBBJF+Q+O/6yt3rpu5TUEUrJ27B8lTBAKBQCAQg5SIS43OdJnztAPskny4ip/lo39/DAp/PX8enkbHc6dWVu3bf/Cvv/4KV6gwLDSqb/L0q6+/Bqdnz34RXmf0uAp4+YJaep3+1998A47Be3idg4cOI3mKQAwkSJ72CSRPr5eI68LrIO5GxnjbylPetf3p/9/efYc3VTYOH//7ff94H0HoTJom3XtkdFH2BlmylCmgTEH2aNkIogiiIDgeFBfiQpANiiLKKkO2iDiZPiiICijqeyd3cnqapKU0LSdpv70+V6+Tk3NOzklKnp/f333OudX5+yUSqll1Fr/zQqjyRH77tVCzM805jjtK5dpvKuUIqfbroubkS+m59qJql1ffOZHrmCkXyHYFUznO1JJjb6aZ2a7RplmZqVbHefpmsyqb2k/Vj3Wdqu825tRYjnJa9vvjnXan7av2wTKi2fil7cYlJ+UMajr8874v3mNuYTV3X9f9yd65Hdrl9t7a57/987o+2GTiknaFU5sODY2zOm/BFGceMf3J1i1byZGn6m+bZNt9Tw5b2rnj5CceWREUbRYz9UlN/zt1R36zSUvHvdy6wxMj+8zve8+I9l2eebDd8GWTPzLEpst1dbEZDds92dzWylq/z6MDn27d9cX2Tfs/Nm7L0L6Lsy3tZ45aN7D3c52adBszcFmwKVHsRkx6u1VPfROX6LjDlVg9JrXg4fd6dxw97uEN93dbvHDUO3PHbs5uMPixESunDF8Vm5j/xOhVM0ZtbpzXunXHJ+YMf7lBdhtn+Y0zz5+2d3ivBTMHPVu/0dBlM/f0bDO4030rpwx88dnCbXXimjw+YsWD3abr4lo90mFswZAVKSk5zpGn2fdO7vmQyfbAtP7PPjV17+iHXnvw3rHNW49Z9eTRNg3v69f7pSE9nujSeogtb2C/rtPvCi7xD5N4CgAAAoXmUcNTeeJpm3b3ymVefX2FMjMhOVNGUuWmUvFJGa3adhATITpT63s6LX3+RbnWijfflgts2fpRhePppzs+k+ummbOVZZ5/YZlc/Z4OXcTDT7bvkA+z8xrKBaLjU+QtpIinwB1DPPVJTY6nteyn7TtyYTkUL6Z1Lrwdt3GAxUtqv9uaxVPDbfbTEglVDkFNs0an2od22hOqYwiqTKiJZteJ/HIgqqyoWRkZynBUx3VRLbnFOdWTmG/NdS5mVgXTDMc40zSb89qm6rtCyWwar2TTNKtzwKnHqfrlLKe39w9T63jquk6oxZSYK3YmOjHXlJATZb9Mp/32R1GJ2VFiTmJOdGJOWJzZmJBjUN3HyTFQVH3N0+Jtit/64rszKbdOytbbrxyaJb55TMn15GVA5aVUS95byXnbJbm6mA6LzYxOztPbLydqjkrKdlx+VN6/Pqtl68LHhj6nl8NgXWNpHc/a31VjYq74m7f/qcfb86gcZOq8hmmsOTIx13nNU9fumZJyQqMzTIl5pqTcqOS8sBgxnSOO0XE/qCyj40UjE+w7YLIPpy1+RfmPKDQmw5iYJXbSmJRnTMwRGwkXe56S79gBiympHiNPAQBAgNI8angqTzytHaT77rvvZbscMXJscLgxJcO2/VNnqZQn5q986x35sNt9veVa6ZYcOee5F/4r58gz6MWPeCo1M6vW7cTTocNHyiV37d4r/ksmKCxy0NARf/75p5hz8qtTcplHRo2Tyxw9eqzb/b3Fnuw/cFDOKU88jUtKX7d+ozBwyHDNPxcgcBFPfVKj46mr1zjGWpaHBnHQ97Gu1fsAKz2eGirST21uQ1BLnsVvz5eJrlGorttJmVNdp/PLM/odDdQRUl0t1ZOspa5gmiHWsg8ydZyen2p1naHvGm2qvjFUiXIqB5zK20Ml3145Dbh4aij1JvKe1Bm0xIoV3WBJpa+rzFduYR/hvH+9LSGtsXjHbm//E8q3mPv0rZV97PpYK/EUAAAEKM2jhqfyxFOhbfvOslSKn7///ls5JX/V6g/kAvmNmv3xxzX57M5de3bu2i3r5++//5FTr5FcZvGS55UVf/jxTK3biad3B+vlwFW3fRCLNWneRllGvPS/qp8rv/5a/htGZdry5FoLFi7S/HMBAhfx1Cc1OZ5W7LR9TfiSJh1iND8Er/4TFCP4coBVEU8N5e6nbqfwm5KcXdIzoTruJeUaheq4HKq9cjpyp30squukfrssZ1H1yplKbSWCabLFrAw1dTtJX7m8qXs2Lfep+mW/G7fgB/E0QHkM/NR+l8reW/H5Ek8BAECA0jxqeCpnPBUaN2u9c9eef/75Ry7/v/9denTO47WDdMoCDZu03Lhpy82bN5V2uXtPkVI2BUtWPXnpUvHz69WrYt3yx1MhONw4b/7CS5d+Vra//dMdeQ2aqtfSRcY8u/T5s+fO/f77Hx9+9HFufmN5oVXlwqxlUOKpeBXNPxcgcBFPfVLD46n4L/zolPzMem3NQr7fSbY282VspgyUocb0zLw2/niA9dpm5LUJM2X4EoirKJ4ablUMvQ9BtZ8Lb7OTCdWRLKPTHAlVdTspWVGdITXTzjUiVXKcel8KmUplLXUGU9fp+c77QamGmhZn0+IbQ93eqfq3fB9uQaN4Kjeii7PqXKfhez7rXCbeywLFW4i3ei7gfCrWYv+qcZxiL4/UUQa9b0osFi7+LJ3jSa1674s5F1Z+e9kf+22jxEFZHBN+FFWJp8RTAAACmuZRw3dRcckNm7S0ZNWrG2rwuoA+MjY3v3GDxi2i41M8n707WG/LqZ/XoGlwuLFiO1AnJMKanS/2QeyJ21M59RqJ+W6vu3tP0b8ed5oqTe0g3ZUrV0aPm6j5+wwELuKpT2p4PBW/rQ3a2xp28E9ZjTrqS9al2/X/6kYnZDb252NMy2n1n6AYfxt5KpXWDeUdhEr2U3kKvL1LmpIdZ/En26KLh6DaYuwJVRmIao3LsMZnWBIyBedwUVdItSRJZm9czyaq1nJsxOLIplZVNrW/nHhdmU2ji6uuTem8Ym/lnjsOofi41BM+ldMEDUee2kJjbQMaPNiv4eDIOJsxIcfkuPqnvKyn+B2dWC8pqZ4xwfZgw4eSE3OMjhc12SfEPmcZE7LF8qFx1gF5PQc26B8Sa470+MPo2f3xbu0KbdbmEXEZtQzxdUyp3e+dbEzKlUsaE3Nd72SOMTE7zdZh5ojlySn19PHW+s2G52W31sfbHE/lKLVUfF+FxmSIieCoVENCtnjK8XebbbJP2F/RmJTX//45seYO93caN/C+QkO81ed3qdIQT4mnAAAENM2jRvU2a/ZcOXR07boNsu12uLebvNrAmg/W3XL14HDjkwsW3rhxIznNovmxAIGLeOoT4qkSFrMadfQfNkHsUuNOusqIp354gFmOA/TzeGq4nfGnnneRUl8I1VlR05wDUWVFVc7olyf1SwmKTNfA0kzVzOJ7QDmvZyqDqTLUNCbN6nZtU88bQ3kMOC3rIqcVL6cJWsbT2tFpS9o/uqjj/LA4c6fcXg817B0ak9Hc0saYWL9pepMp7R9f02VW96w279//wiMN+uanNtDF5wxo9GCT9CbxaS1bZ3Xrldf1/0ZlPtdqzAsdHr0rOj29fkdzdiNl38Sf1vypu6c/vKZF/Y6Tx2wf1uuJzs0HL56+p3uniRmZjePSW/fuOtVqbZGQ0SKvXq+WjXuFx1n6DtpY39w8Kq35wD5PZVmbhMda8xsN6tzqwQjHeFVDQk5aw2FD7pta15g4eciy+PRWvTsXxCTlxKS17NG5MDU1PyIh/96OhZsWfZuc9dBjI197beqHhniLwZePplIRT4mnAAAENM2jRvWWZs7+/fc/ZD/90/GjXCC1VduOt1w9O6/hufPnu/foo/mBAAGNeOoT4qmfxlO5SzUjnt7lx/HUUI7Rl6Ul1BIVNblkRU0trqjqlurMqekWJYzGecxRloxNUwVT9en5xdnUVnY2veWp+j6V0wSNT9s3OATHmoc1Gvp85ydzk7Ne7zA1Na39ihb9BzQvfOWesQ0zGq3r+2Zhk2Hbu89Z2nnJsPxe73V7OiNn6Ir2hXPbTtFFJ9vrpGNTzXuNat+2U4TYsut2TI4Xyo7NaLV69vawmPTg6IwX5hzv2Gbi5AHPJNu69+kya9GoFQ2aDZs7cEHhkDeTEyz391/TwNLCmJx/f7dlXZq3S8sb+Nq0bfMKDnZo1FVsxxCfnZA1cM7QFQtGLJsyYP7Mh1c2bjRoxgNzxg9a2bJx/5cL3hv2wEu97xm+/unTUfaDch2jb3/YlYh4SjwFACCgaR41qr1GTVt9+NHH165dk9n05s2bn+/c1bFz93KuHhQWqfkhAIGOeOoT4qm1fjvNT10v47T98KhMH+NpfGYjfz5tPzW7hZ/HU0P5YmKZCdXmPhZVhtRU13VRlUGp9glLTOnsz6Y6x5Z6D6aO+0FFuV7xdrOpwfdT9dW0u2GUcyPxtuD4xtt7LFrQ8bEGafnL209ubu35ctM+zeo9vLDZg/p48wc9X8hJbri56+y1PZfnJOUu6TjPkjt0aG6XkDiz/U1wbSqj4b3W3CYRqo07tp9tTGm6bfE3pgTxbucvmb47KL7J+D5PDRq0tl/naUvHrsxvMqhZXpvgqNTQmIzOfVflZTTRx1tyGk7p0LhVVqOxrxS837fbDLPZvlnxWlFp7V+dsXvcQ6tm9n1+5pBl4dF5cx5cOGXoG2HRmcsKV08Z+mZGaoOPnv0uynVc/nPBUwPxlHgKAECA0zxq1BC1g3TR8SlRccnq+1kBuDOIpz6p4fFUMMTZUrNbpma18DvZLWJT6/tyMyW5bl19coqtmfaH402ytVmQPtk/bxjl6Xb7qbdRqMpAVJvSOksMR1WF1BITbtNKMFU1U9c401tn0/KU00CPp67DsYXFWUc0HT6y8WBzSr0e9R8a12RIV2uriITcsS1GP5TbcUDDhxITcwfV75mQ0nJqq7H3WtsmZXZqnNE0wrnzzo3ktunboFHLCI+NCylZ9w3r+1TT/K5dOxWGxeW1atIvLbf34Psf7dZmUKq1XWZGQ328Nc1638j+Cx/uNTvdds/I/otG9luQmtb43g7THu71REJKvnzb9Qm5vbsUGNJat23as17DgcP7zEtOyzfn9hrRd0GWtWVKVrdhvZ7o2anQ6DejTd3eCuKp5v9rDgAAKkzzqAEAVY146hPiqSD+O99v+RIWlWPU/Ciq7gDvZDw1VGgIqltCdRuIanLdx6m4gZaMqu6FtJhjLdcWvDZTLbOp5AfxVAiNzQxx3Ow+LM4sJsIdfxX2mXGWMOd8i+ME/0yd2NV4iy7OWrwPji3Yv1IcM932Tf51hUSl6eIs4bGZ4mG4vQ9aQsTXTqzFfsiOVXTidaPTBfEOhESli+XFfPHtZJ8T77wOgH1dxxZ09hXti9lnxlmLJ+zbNFfu+1OJ7zPxVPP/NQcAABWmedQAgKpGPPVJTY6nSq+pcLm7A3zfvep9gHc4nhpuJzJ6hstSQqqt5Hn9NlO5WF211H2bt9VM3Q6qkv9hah1PcWcQT4mnAAAENM2jBgBUNeKpT4inft4Wy58ga+YB3vl4aqjUfuq6m5NNFVKtphJR1bOZ2jxHmLp4ebnyl9PAjadyFaqrVoinxFMAAAKaJiHj7mB9iM4k1AmJEA+Dw43yoeeSQWGRpT0l59cNNahnig3K+W73WRKLeW5HPMzOa9j6nk4Nm7TURcZUeCcB+DniqU9qcjxVTtvXvAxWSlgs4wDvCgnsY7yr9GPUJJ5Kt9UcVeX0FmNRvV0mtdQFvA4yrUAzrfxsKt2ReCqWj0zKiU/Pd3zi1afHBRDiKfEUAICApknIGDuhQN56ft78heLhmbNn5UO3ghluiP716lX51PiJk9VPRUYn/vPPP2L+kSNH1fN3fPa5XP7c+fPq+Z99vlPOT0wxi4f6yNj/LluubFz8/PXXX+s3bLJm59/uTgLwf8RTnxBPQ03pEarLDgYicdRBESml9dM6uiTN99B3IcY0/xl5qna7/TEyUYZU74NSK6ZkkHV/ubL3uaqyqRR/h0aeJuW2WrF6XXxcekQFdhI+iyCeEk8BAAhkmoSMcnbJocNHKnHz2PETbhs5euy4mP/333/rI2PlnLCIqBs3biirWLLqyfl3B+t/++13Mef06W9qOUan7tq9919vP1euXLHl1L+tnQTg/4inPiGeap4FK4WulOsS3BUUExqVofnu+U4fb/PPeCrJBKm0SM+CqfCcaUzKMjovXVpaD/XyrEupW/bcDfWuqieqUPwdu+ZpZofuUxpGJ4TFVmx1+CSCeEo8BQAgkGkSMpQqOmPWY+LhV6e+FtM3b950OwffLXG2bNNe/ex/ly2X89t36irndO7WQ738yNHj5fz8Rs3knFdfXyEe3t/rAflw05atjZu1jklIbdS01Sfbd8iZ765afVs7CcD/EU99QjxV8pzWh1Bxt4inpoxqcIAR/h1PDapyWvZwTq9B01AysLq4jTD1HmHLuX3DnRxwqrhz8dTaoMPAD997KSbljhwXSiKeEk8BAAhomoSMBo1byC7Zo3c/8XD1mrVi+uRXp9TLZOU2kMvs239ATry58m31AgMeGiLnz5o9V855etES8fC640edQUeOHi+XHDxshHg4Z+48+bBV247K1mISUv/++28x88czZ8u/kwACAvHUJ8TTgI6nEa6wWJ54GohnNCsH6P/xtHifb6dRll1Cb+mWLdVtT+5QM1XckXhqXyUuo133wiYJqeFc9lQLxFPiKQAAAU2TkBEUFvnr1avXr1/PsOaKh9NnzhbT77z3vnqZRc8+J9tli9btTn51Skxcu3YtMjpRWSAp1aIMIJVzDh0+Ih5+sn2HHEZ64cJFOf+1N96US6ZmZomH4yYWyoe7du9t2qKtssGouGRdZEztIF35dxJAQCCe+oR46vgvee1PS/eRLsZcejwN+Iu62pVMM/4cTyW3hFru+0oVT5ShAq+uzT/M+Ds08tSUnDt7yRvmhHR9NepxASSCeEo8BQAgkGkeNbyqG2r46af/KVcpnTHrMZk7J0yaol7su+++FzMvXfpZTJtik+QtpKbPmiPI5bPzGoqnjp/4Ukz/8OMZuVZ8UsbV335Tzu4/f+HCO++9P3T4SGNMkuYHDqAqEE99Un3jqbmc8bSOPik0KiMskIWaMmqHxXveMErOqR0aH2pKD+hjFAd4ty7R6x2x/DaeSuoT+SvQMSswLtXztTQrpwl3buSpKTU/r0lbXZy1AuEVviOeEk8BAAhomkcNr/r0e0iWzTlz59VyDDKV59QfP/GlerE3V74tF7Nk1Xug/0A53aR5m8bNWsvpMeMnRRjj5Lpvvf2usmKrth1leFX/3LhxY+Ezz94drNf88AFULuKpT2pAPLU3mjLiaXXiZeSp1rtU1QfoiqepbvFU7x/xVKEumJU4LLS08a1ajjZVu1MjT8UqkfL8fc0PuUYinhJPAQAIaJpHDa+2frhNBs10S46cs+3j7a4LlXZQFhsxcqxyMdOXX3lNTFy+fPnuYH3tIN3PP/8iHq5es7Z9p65yGbGw+iXCDdEjR48Xm5UXSFV+Xlr+quaHD6ByEU99Uo3iqfhPcasST/Wy0USXFU9RDbjH09jieBrhT/HUjdcRqRXjtk3/Uunx1ON6DtofI4inxFMAAAKc5lHDU0q6VY4VvXLlyjOLl0qffb5Txs2Vb72jLGnLqS9nLnv5lW+++VZMrF23QT4l7+906dLPs2bPlctYs/O9vlyoPqpTl/tWvPm2POtfvHRymkXzNwFAJSKe+qTaxVNbiXha5shTVAOOeGp2xdPMQImnklsArUAz9cdgqlYF8TQywZbRrNurr7+RYqlPPPUTxFPiKQAAAU3zqOFpztx5/5b+c+3aNfXFSeWlUS9cuKicpy/njxozQc45ffqbf1U3jxJeWv7qxk1b3n7nPbfXFfPlKl2699T8TQBQiYinPql28VQ98tTMyNNqzz2eytP27efsWyPirAb/jqfVX9WMPI1MyGo2fFp+w2Z6P2/HNQbxlHgKAEBA0zxquKkdpPv++x/+/fffv/7669jxE2rnL1yQcXNiwVRl+Q/WrlenVVtOfTk/w5qrnr9q9QfKKkePHhNz/vnnn4ZNWqpf+t1Vq+XCHTt31/x9AFCJiKc+qWbxNKLEyFNzuHPwKfG02lLHU2egUcVTPx95Wv1VzTVPI2LMWf3G5TdoSjz1E8RT4ikAAAFN86jh5t6u98uCuXrNWrenmrZoK5868eVJZeakwmlKIT1z9qx6efUtoZQRqcKUaTPlzHPnzz88YnS9hs1atG733Av/lTN/vXo13BB9y/185bU31q3f+NTTizV/xwDcEvHUJ9UunlpL3DPKddlT4ml1Ja95GmZKc9wtinjqZ6osnlofGEM89R/EU+IpAAABTfOo4eb91R/IiHl/rwc8nz1+4kv5bKu2HeWcRk1bKYV0xZtvqxde/urrylN59Zso80N0pv0HDpZ2WYBHRo0rz36eOXtWLLy3aJ/m7xiAWyKe+qQ6xdMI8dszntozTbqYL/5jnn5azYgP9P/VjRYfblhUmivQWOQFT5V4aiCeaqhqTtvXmdKS7h9OPPUfxFPiKQAAAU3zqKEWFZd848aNfx03eqobavBcQBk0+tbb78o5dwfrf716Vc4cOGS4euEH+g+U83/++Re37egjYxcvef7y5cvqbHr06LFefQeUc1dlPN25a4/mbxqAWyKe+qTaxFNDKfFUDj7Vx5pDjem1QuNV6S0egak4ntYOjddF24eaOi54mqGLcQw7dcVTxwVPrdUp0ASeqhl5mta403OvvJGZ3dDf75dVYxBPiacAAAQ0zaOGhmoH6cy2ek1btK3fqLkpNul2V9+4aYv6UqoA/Bbx1CfVJZ46h6RFKPeMinNe9tR15n56WFS6MTHLlJRtTMo2JWYZpQTBZpeokuOsPjQAABn3SURBVAA/4OUTcX5qpsRsU5Ljo0zMCo9Kd5VTec6+xfnpK3eLKnegcfz9ZDlWEX9O2fCm+L0q77/Kqhh5GmOurU/Rx906s+LOIJ4STwEACGiaR40A1bNP/z///LPfgEGa7wmAWyKe+qRax1Nl8Kn9sqfhUelhUWl2plTxn/ShxhRFiDHZLhJ+yfHpFH9eJiFVfIiOTzPdnmbkraJKxFPVBU/LF2hkM9WJdRPMlvQu7cwFXS2zu1rmQNHGPD4jrWNYfFp5BocW/6v0LZ4q095m2hh56ieIp8RTAAACmuZRIxDVDTWcPv3N7Mee0HxPAJQH8dQn1SeeJshhgyXuGWUffFpi/GlGmCqhOiuqfSJFCoWfUX00qc5m6symXsupo84o8VTeRqwcFzxVgt09GQXjUrfOiDs8PerwdOMhlBB1eEb8oTFpG5umD3e8aeUYf+pzPBVrJVibGOVFjatRa6tmiKfEUwAAAprmUSNABYVFar4PAMqJeOqT6hRPnYNP44pLjdd+6hyFGu2qqAgw6eGubKoup454Kgcdu9WZW9263XG2fmxS40Lb9qnGg4WReyeb9k0x7a9mxEHZGVW/y8lY4neBce8M05FhlpW6OPOtg6bP8TQ8xtxv6vwNrz4j/i1Xp9ZWzRBPiacAAAQ0zaMGAFQ14qlPqmE8VQ8+VU7eF//d7rp5VLg8iz863XEiv0PJkBoO/1D8oUQ7Pyl1NnVe57S4nFqKy6mzzmTdMp7Ks/WjkvInZXxcaCyyJ0JHJdS8dVZJPDU6FRh3TTLunGT6vDwKjLuVFQX7phwTk6wfRSZk3+LE+cq45mlkcqPD27foojLLM4gYmiCeEk8BAAhomkcNAKhqxFOfVKN4mlVGP1WPP5VkvtEVt1T4O52ccH2CJbKp6j5REbc57DQsNn1wxhtTjPuVOFj9KGNIJxh3jDVuHWPcbGcqH+NmscpE447i8aoypEbu75Y5N9wx/rTUd7gy4qk+IWfD5we6dGmvi60+ra2aIZ4STwEACGiaRw0AqGrEU59Ur3iaZUhwxVNVr3H1U1dCdVZUR0iNVZU4+LNY5cNyfHbObFqynMYr5dTqKqdlDju1/7VYk1NbTY3dP9lY5OyMjjJYaHCJ3KeOqq5uKOeUmKlMK78rLX26vXrxSzhTptsrus1RcucE4ycym441bXH8tk/IaTnTbdrBMW0U8zdNMG5XD0EVHk06kpLSxhCfXWo/rYR4mh2Z1PDAxnU6U0Z1am3VDPGUeAoAQEDTPGoAQFUjnvqk+sVTj8Gnrn7qGoLqSKjOc/lLtlT4sdgS3LNpibP1yzns1P53oo+3Ds1aIYedKqlxasz+d0d/83ynE8/de+KdUd8UGpyp1P47qqgg4sAr970hfrs6prMkjqm1Z0zt3TK8VuIgVrmpsbX3jPrP7onhRdMTDohXtCfdyH3jg/cW6O2XGhhbZ0+BQXVOfeS+Sfqi4szqvFbpbueAU+PmYXXWj4ncPNqwafBd60aEbpAzh969bkjtdWK+mB4esmHwf9aOitgkfotl7PPty2yaZNxZot5GHuyc8ahevuFe3+3KuGFUyz6P7N/0VoT9mqeaf73AO+Ip8RQAgICmSci4O1gfojMJdUIixMPgcKN8KJ8NCosU02Km21q1g3RyMTEhHsrp0m7cpH62bqhBvX1lOwqxP6XtqlxAbMHzKbHzZayuPii34wVwhxFPfVLt4mmWa/Cpc/ypl4RaPBDVkxn+pPRPSv1pVqicGhxXOzUm5M7K+MJt6OgTuYfeHfXNknbHX+hy4uiGn5VWWGjYPz1u99apj+99dtLSVqvVYzDfHPr1ia2XD6/7eXzw3vfGfjs+aO/EsKLxQXsmR+4TExNC9xZE2GvmxLC9hYZ9k3RFhYYi8VssJgexTjbZnxLr2iunvmhSeNGEkL3OMbAR+17qcfL0zitfbrssXmXlsNOzUg6Il5gWu3/7knMvdD4xxbTv5CeXn8w/LNaybye8aGn749/uuTquzh75og77xxs/dgwg3fz+9OPHPrw42rBp1dTjhzdfWDHq8CjDpglxW/evPnf8458Wd90zLmaLmD649tzcxp8d+ODcoQ3nj265KEeqjjN+pA7NBZFFQ9JWhsSmui4v6/E+V0Y8zWzcPiEjV3/Lm1NBO8RT4ikAAAFNk5AxdkLBv46fefMXiodnzp6VD3WRMeLhgYNfyIftO3VVr9Wjdz85X0xExSX/9ddfYvqPP67JtdSGDh8pl1z+6uvi4eo1a+VDW0598bD/g4P/9fj55Zdftn64rdv9vdXbyc1vLJ99d9Vqz6P4ZPsO+ewHa9d7Pnvp0s/y2TohEcMfGSOnn1m8VPOKBNRAxFOfVMd4mqUaf+ocgqpKqB4hFQElwjlR/Gmqs2k5L3XqiqfZ0YkNnkg6Xag6Z78goui5jsefrHfYPqQ0ct+hNZemxzkGgUYVPdv8g2NvDF/e/Y0ZCTvXj3vqy7eGKiNPL313/ZV+XxUa9q2f+cPPP15/td9Xmx77ceeyC4tbHds458dPFp97qtGRyaZ9H84/M7/+kdcGnHqmxdE1hd998uy5WckH7ee/px3c9vTZXcsvPtX4yMs9T66d9v1nL55/POvQlOj9j6YevHDyjxkJByaE7J0as/+NgV8vbX/ilx+vi23uffOn1/qfmp5wQLz6082OfrjgzITQvZ8+f/7lXifFnB0vnF8x+Guln8pLnY6N2vzaw4d+/enGlIxtp3Zempb98fiYLfL6pxPit7437dj6J756f/rxNbNOTLFtGxO5+eGg9SvHHdn01Cnn6fzGLVNMB1TxdO/YlM1BsYkR8Vney6bP8dQ+nZjtnND+iwXeEU+JpwAABDRNQkY54+nJr06pB5aq46l4uGnzVvlwwEND3La/aYvzqTbt7q1Vvniq/Mx/6mllO2XE03RLzj///COf/euvv+KTMtwWIJ4C/oN46pNqGk+zHHUsyxFislSjUG2OkCrP15Zc9Q1+rDiVuj4451P2a5t6ZtPyFBlnoYspGU/lSe4zkw/uXH5h5dDTRW/+tKzHSddp+PsnhB5ePeLZx8yfjA85snXq41Oj9iojT+dkHLz03fVjm34ZV2fv4bU/j6m9Z1GrYzteOL//7f99+dHl5zudmKSzR8zv9l19rsOJD+effanHyZ+/vz4r5aDYeEFEkVhy1bhvZyYdOL75l/fGfvvm0NMbZ//w8eJz02L3v9Dlyy+3XRZPXTx1bfPcHz9edHZO5hcntl6ekXhgzxsXb/zx97WrN+3/J0jzo9/v/21c3T2//Hjj1f6nfvr62oj/s+vHL36bGu0YVGvcr8TT6daPf714/YW++y6fv7bn7TNfbv9plGHTWNPmA2vO3fzz74Uddp387NKJj386c+zX53oUDQ/ecHrvL8UXQnWLp8a9Y5O31o1NjEgoZVhoZdwwCv6PeEo8BQAgoGkSMpSRoTNmPSYefnXqazF98+ZNeXa8Ek/Fz6zZc5W13OLpgIeGyIfr1m9Ub9xgir9x44aY/8OPZ+Sc0uLpe++vEdMPDX54wqQp765a/ffff8v5Pfv0lyuWEU+fXLBQnVxnPjrXbYEffvhRzL9+/bp6Vx+ft0DzigTUQMRTn1TfeJrlGl2oDEF1JdR4r23OBj/mUVTjS4w2dYaYco05dXCtZYzPnZ1+uMQdmSL3Pdfx+JF1P78+4NTuVy5ODLOfC+94dl9h5P4VfV/eXDhv+2Ozdi2cMiHskPNeTKZ9i1odmxq9/7uiq3OtX3y57fKSe47/9PW1NQXf7XvLHk9nZ3whtlAYue+rT6+83Ovk7lcvvtb/1OO2Q4fWXHq27bECXdGnz51fP+P7BQ2OHFp96f2J373Y7ctV47/9ZPG5qVH7Zybbs+mT+Ydf6nFy1/KLHz9z7omsQ19tvzIv7/CB9/73cs+TYocvfXd9YdMj5479Xmgo+vXin6/2O3Xhq2ti+szh3+TuOU7b3ybj6VTztl9/uj67/qfHt/1UmPHRxdO/TYjbOinpw8npH73Yd/+BNec+XHz6pQcPbHzy1Kppx5/usLvo3TMjQjeOMdn7qftp+4a9w1LfDo5JdhVPjzefeFozEE+JpwAABDRNQkaDxi3UGVTGzZNfnZLPquPptWvX0i05cr5bPA2LiLr6228yUBpM8crGBw0dIRdbsHCRnFNaPFWXWaFv/4Fy/qHDR+Sc0uLp3cH6s+fOifmnvj59+fJlMfH99z/IK7EqNmzcLOYfPnxUvR3x0ppXJKAGIp76pFrHU8nmraKWbKkIGCU+QUOJZno7Ica1ui7OMsL2jj0Imor7aaFh3xzzF4taHntr+OkCvWpQauS+hQ02vtj+nenxu17v9WqB4YByOdRtz5zd/87/5InzO1+68N6Ybw68+7+PF51dXfDd5sd/nJV8QC62qPWxojd/2vHC+SX3HP/0ufPbl5ybHm9/afFye16/uO+tnxY0PPLKA1893fToSz1OvjXitD25GvaJhQ++d+ng+5eW9Tj59shvHrN88e7obz59/vzqSd8ubn1MbHbX8gti5rpp3+98+cL+t/+3pN1xsSnxQm8O+bogwnlhgUnGXWOMm8aathSkfLTz9R9GGzavmnZ8z1s/PtZwx4G152bX/1RM71rxw5wGnxYkf/jZa99vW/rN2OgtywcfXDZgv/0uUo54Osn4ufqGUVMjD3RNn6uLNZcvnlrKE08dZY1+Gkjk56WLtXiLp2nEUwAA4P80CRlBYZG/Xr16/fr1DGuueDh95mwx/c5778tnZTxVTorfvPVDOd8tngor33pHzhk8bISycVktxU9e/SZyTjnjqfDFocPyqYTkzFqlx9PuPfrI+TNmPfbS8lfldOduPdTLiI2Lg3r9jZW1HLH1ypUr4mFOvUaaVySgBiKe+qQGxFOFzV08ApDn51iBPwZXPdfHWTJTO0yNOSBHaKrHn8oT6t3uJTXFVDQlyjEWNUq5F5MjTeqLJgS77goVvlc8nBhmvyWUMDG8xJITQvdO0tlvGzUhZK8c1uq8YVS4/b5SYqJAXyRfWmzE9er2tezPGh03m4osEs+K1R03nnJsM0zMFKvYF3Pck8r+6uOD9xZGFodOYZxj8OmYyM0jQjeIidGGTWJiRMiG92eceCRso5gWv8ea7J1UTIzUbRxj2iJ+j4rYJE/bH2/8eLJxv7I1+6VaE45lpLR3XBnD6ns8FRNCiDHd4//JgQAQZEiRn6BHPM0gngIAAD+nedTwJOPp8RNf7ty1W3bJ3g88WMtbPO3crYecs2XrR3JOhDHu+vXrYs6RI0eVDZY/ni57+RX5lLxzVGnxdN36jTLvpqRbW7RuJ5dZu26D5m8dAK+Ipz6pSfFUzWuDQ2Dx4Q/AWXzsVwAIiUl5JH11oaFI6afOOOiaLh556ro9lKMhOrOmc3mTOrDud6MumKU95ba6Pap6bFP9bHHnNbrvp9vGla3ZM6tx+xjjJjmMdIzJOZ7UyaSao54Qyxs3iRWdVwBwHXKBYU/vzEVhsenFLczzQ4n3jKeWsuOpEEo/DSxx1uDIVOXjKz2eWoinAADAP2keNTzJeHrs+Inc/MZ//vmnmD5z9qwuMsYznt4drL9w4eK/jls2mWKTxJwHBw2Ty0ydPkvZYPnj6bz5ziuZDnn4kVqlxNO4pHTxcmLmpzs+k3PkNVvFTDleFYC/IZ76pKbGU9Rszu4jbxdmS0psWZj6eWHkXq99sxpQ4qn9ogTGPRONn0807phocjCqfnszyfi5WEUJysqw08KMT6Pi6umLL0FbSjyNLxFP9bFmXaw9pTniaYYu2uJ22n5xgAuNR2Bw++BU8TTMEU8d5TRTL0eexhFPAQCA39E8anhS4qmYfurpxTJfLl7yvGc8FZY+/6KcOWLkWPFw7boNckxoUqpFWab88XTBwkXqrXmNp9NnzpYzhw4fKefMfHRuaRsE4A+Ipz4hnqJGKo6ngi7WnJZ0z4y04hPSq2dCVQ7N7rbXUhufvjXCXkItMoe54qnH+xyvfp+V0/blmfte4qmS4dRzEIj+ExRjkPE0xhFPY8xu8dTgtbYHLOIpAAABTfOo4UkdT8Mior7//gfx8ObNm3PmzvOMp02at5EzP9m+QxcZc+3aNfWYUKn88VS5gGnPPv1rlRJPT319Ws4UCz+zeKnw1tvvyjmet40C4A+Ipz4hnqJGKj7jWB8v7wJvCY1O7WGZPyfl+PTIw4WGogLDHqgVGvbNMB19LPX4PRkTQqPTZDm9xSjC4nhqKx55WiKemkml1ZIznkZ5jac24ikAAPArmkcNT+p4KtzXs69Mk3/8cc0zntZy1cybN29OmDRFLvDwiNHqBcofT+VLi5/UzKxa3uJpm3b3/lvmT5fuPTV/AwG4IZ76hHiKGsmmuuypzT4uMtbe9cJi0mPiG9RL6tsxdVq31Me7pT4BRfuUyTlJvUxxuWHR6TKEuYad2ko/BVv9Jst46hh86jhzXxedoY+xMtS0+hEfqCOe2sKj04vvFqXUdkaeAgAAP6N51PDkFk9ruW7QpPy4xVNlROpvv/0ufl+/ft0QlaBeoJzxtH2nrnL+ocNH5BzPeLryrXfknFNfnxZ7qDh9+hs5X+yq5m8gADfEU58QT1FT2VzVz3VSuaPr6R13NAqJTgmOSoJaaFSKeGccldkSEVdi2Kn3C56q3mR5snZxPI0xO+4ZlR6VnFM7NF65YiaqjTrhiZEJWY67RWXYxxor8dTxx+Cq7cRTAADgFzSPGp4842lKulWGUa/xNNOWp06rq9esddtgafF0zQfrhjz8iDB2QsHLr7x2/fp1Ob97jz5yRbd4aohKkKNfL1y4WCckQv0SITrT5cuX5QDYW942Ki4pfd36jcLAIcPlnBdefEk8FL/lw1ZtO8gFxITXBQDcFuKpT4inqLlk10twXZQz3jk0Up5d7ri1EZz0TvZsGqGMOb3FsNMst3jquEyqVefsp/Yz98Oi0qKSc8KjzKHGdJUM128EBOUjc9JHW4yJ2cXn7Nv/hCzOocrEUwAA4H80jxqePOOpMGXazNLiqVC0b7/yrLxcqVpp8dTrz+PzFigrusXTMeMnyYfPLn3ec7f/u2y5fPbROY+XfYBK7V2wcJGcc/KrU+Kh+C0fKnsoJrwuAOC2EE990sY4rIVxIAAAqJhWxsGa/685AACoMM2jhiev8bROSMTRo8dKi6fjJ06WT/3yyy9BYZFuz94ynv75559nz537YO36Dvd2U6/oFk+/OHRYPmzQuIXnbjdu1lo++8MPP5Z92yglns6bv1DOIZ4CVYp4CgAAAAAAKkLzqFEz1Q7SXblyZfS4iZrvCVATEE8BAAAAAEBFaB41aqDgcOOTCxbeuHEjOc2i+c4ANQHxFAAAAAAAVITmUaMGys5reO78eeW2VACqGvEUAAAAAABUhOZRo2byvDArgKpDPAUAAAAAABWhedQAgKpGPAUAAAAAABWhedQAgKpGPAUAAAAAABWhedQAgCpVu65e82/ashFPAQAAAADwU0FBJs3TBgBUnbCgOM2/actGPAUAAAAAwE8ZgtM0TxsAUHVMIRbNv2nLRjwFAAAAAMBPpYY10TxtAEDVEd9ymn/Tlo14CgAAAACAn8qP6K552gCAqlM/oofm37RlI54CAAAAAOCn2kQOrVPXoHndAICqEBRkFN9ymn/Tlo14CgAAAACA/4oNzdY8cABAVUgMra/5d+wtEU8BAAAAAPBfDQ297qoTpnnjAIBKVie8qaGf5t+xt0Q8BQAAAADAr0WFWrXPHABQqeJCczT/di0P4ikAAAAAAH6tqWFA7bp6zUsHAFSWOnUN4ptN82/X8iCeAgAAAADg79LCm2keOwCgspjDW2v+vVpOxFMAAAAAAPxdG+MwU4hZ894BAL6LCbFp/qVafsRTAAAAAAACQMvIQfrgZM2rBwD4QnyPtY4covk3avkRTwEAAAAACAwtIgeGBcVp3j4AoGJ0QYnie0zz79LbQjwFAAAAACBgNI98kH4KIBDpghJbBlo5bUs8BQAAAAAgsLSMHGgKydS8gwBA+YlvrUAsp22JpwAAAAAABCJzeOs6dQ2aBxEAKFudukbxfaX5d2aFEU8BAAAAAAhIzQ0PpYU3CwmK0jyOAICnkKCY9PDmATrgVEE8BQAAAAAgsOVGdIkOtTEQFYA/EN9F4hspV99Z8+/GSkE8BQAAAACgmmhqGFBP382ia5upawUAd5JVd09+RDfxLaT5N2HlIp4CAAAAAAAAgBfEUwAAAAAAAADwgngKAAAAAAAAAF4QTwEAAAAAAADAC+IpAAAAAAAAAHhBPAUAAAAAAAAAL4inAAAAAAAAAOAF8RQAAAAAAAAAvCCeAgAAAAAAAIAXxFMAAAAAAAAA8IJ4CgAAAAAAAABeEE8BAAAAAAAAwAviKQAAAAAAAAB4QTwFAAAAAAAAAC+IpwAAAAAAAADgBfEUAAAAAAAAALwgngIAAAAAAACAF8RTAAAAAAAAAPCCeAoAAAAAAAAAXhBPAQAAAAAAAMAL4ikAAAAAAAAAeEE8BQAAAAAAAAAviKcAAAAAAAAA4AXxFAAAAAAAAAC8IJ4CAAAAAAAAgBfEUwAAAAAAAADwgngKAAAAAAAAAF4QTwEAAAAAAADAC+IpAAAAAAAAAHhBPAUAAAAAAAAAL4inAAAAAAAAAOAF8RQAAAAAAAAAvCCeAgAAAAAAAIAXxFMAAAAAAAAA8IJ4CgAAAAAAAABeEE8BAAAAAAAAwAviKQAAAAAAAAB4QTwFAAAAAAAAAC+IpwAAAAAAAADgBfEUAAAAAAAAALwgngIAAAAAAACAF8RTAAAAAAAAAPCCeAoAAAAAAAAAXhBPAQAAAAAAAMALezx98dFVAAAAAAAAAAC108fP/H9zvSZ6HVHdGwAAAABJRU5ErkJggg==)", + "outputs": [], + "metadata": { + "id": "3Q5VM3SsRlxO" + }, + "cell_type": "markdown", + "isExecuting": false, + "stdinRequest": null, + "executionState": "idle", + "execution_count": null, + "executionEndTime": null, + "executionStartTime": null + }, + { + "source": "### 🔧 Install `dependencies`", + "outputs": [], + "metadata": { + "id": "IzsyDXEWwPVt" + }, + "cell_type": "markdown", + "isExecuting": false, + "stdinRequest": null, + "executionState": "idle", + "execution_count": null, + "executionEndTime": null, + "executionStartTime": null + }, + { + "source": "%%capture\n!pip install scrapegraph-py", + "outputs": [], + "metadata": { + "id": "os_vm0MkIxr9" + }, + "cell_type": "code", + "isExecuting": false, + "stdinRequest": null, + "executionState": "idle", + "execution_count": null, + "executionEndTime": null, + "executionStartTime": null + }, + { + "source": "### 🔑 Import `ScrapeGraph` API key", + "outputs": [], + "metadata": { + "id": "apBsL-L2KzM7" + }, + "cell_type": "markdown", + "isExecuting": false, + "stdinRequest": null, + "executionState": "idle", + "execution_count": null, + "executionEndTime": null, + "executionStartTime": null + }, + { + "source": "You can find the Scrapegraph API key [here](https://dashboard.scrapegraphai.com/)", + "outputs": [], + "metadata": { + "id": "ol9gQbAFkh9b" + }, + "cell_type": "markdown", + "isExecuting": false, + "stdinRequest": null, + "executionState": "idle", + "execution_count": null, + "executionEndTime": null, + "executionStartTime": null + }, + { + "source": "import getpass\nimport os\n\nif not os.environ.get(\"SGAI_API_KEY\"):\n os.environ[\"SGAI_API_KEY\"] = getpass.getpass(\"Scrapegraph API key:\\n\")", + "outputs": [ + { + "name": "stdout", + "text": [ + "SGAI_API_KEY not found in environment.\n", + "Please enter your SGAI_API_KEY: ··········\n", + "SGAI_API_KEY has been set in the environment.\n" + ], + "output_type": "stream" + } + ], + "metadata": { + "id": "sffqFG2EJ8bI", + "colab": { + "base_uri": "https://localhost:8080/" + }, + "outputId": "f6b837cd-0f00-49cc-cb6f-f2bca57544f5", + "executionInfo": { + "user": { + "userId": "10474323355016263615", + "displayName": "ScrapeGraphAI" + }, + "status": "ok", + "elapsed": 6877, + "user_tz": -60, + "timestamp": 1734532300517 + } + }, + "cell_type": "code", + "isExecuting": false, + "stdinRequest": null, + "executionState": "idle", + "execution_count": null, + "executionEndTime": null, + "executionStartTime": null + }, + { + "source": "### 📝 Defining an `Output Schema` for Webpage Content Extraction\n", + "outputs": [], + "metadata": { + "id": "jnqMB2-xVYQ7" + }, + "cell_type": "markdown", + "isExecuting": false, + "stdinRequest": null, + "executionState": "idle", + "execution_count": null, + "executionEndTime": null, + "executionStartTime": null + }, + { + "source": "If you already know what you want to extract from a webpage, you can **define an output schema** using **Pydantic**. This schema acts as a \"blueprint\" that tells the AI how to structure the response.\n\n
\n Pydantic Schema Quick Guide\n\nTypes of Schemas \n\n1. Simple Schema \nUse this when you want to extract straightforward information, such as a single piece of content. \n\n```python\nfrom pydantic import BaseModel, Field\n\n# Simple schema for a single webpage\nclass PageInfoSchema(BaseModel):\n title: str = Field(description=\"The title of the webpage\")\n description: str = Field(description=\"The description of the webpage\")\n\n# Example Output JSON after AI extraction\n{\n \"title\": \"ScrapeGraphAI: The Best Content Extraction Tool\",\n \"description\": \"ScrapeGraphAI provides powerful tools for structured content extraction from websites.\"\n}\n```\n\n2. Complex Schema (Nested) \nIf you need to extract structured information with multiple related items (like a list of repositories), you can **nest schemas**.\n\n```python\nfrom pydantic import BaseModel, Field\nfrom typing import List\n\n# Define a schema for a single repository\nclass RepositorySchema(BaseModel):\n name: str = Field(description=\"Name of the repository (e.g., 'owner/repo')\")\n description: str = Field(description=\"Description of the repository\")\n stars: int = Field(description=\"Star count of the repository\")\n forks: int = Field(description=\"Fork count of the repository\")\n today_stars: int = Field(description=\"Stars gained today\")\n language: str = Field(description=\"Programming language used\")\n\n# Define a schema for a list of repositories\nclass ListRepositoriesSchema(BaseModel):\n repositories: List[RepositorySchema] = Field(description=\"List of GitHub trending repositories\")\n\n# Example Output JSON after AI extraction\n{\n \"repositories\": [\n {\n \"name\": \"google-gemini/cookbook\",\n \"description\": \"Examples and guides for using the Gemini API\",\n \"stars\": 8036,\n \"forks\": 1001,\n \"today_stars\": 649,\n \"language\": \"Jupyter Notebook\"\n },\n {\n \"name\": \"TEN-framework/TEN-Agent\",\n \"description\": \"TEN Agent is a conversational AI powered by TEN, integrating Gemini 2.0 Multimodal Live API, OpenAI Realtime API, RTC, and more.\",\n \"stars\": 3224,\n \"forks\": 311,\n \"today_stars\": 361,\n \"language\": \"Python\"\n }\n ]\n}\n```\n\nKey Takeaways \n- **Simple Schema**: Perfect for small, straightforward extractions. \n- **Complex Schema**: Use nesting to extract lists or structured data, like \"a list of repositories.\" \n\nBoth approaches give the AI a clear structure to follow, ensuring that the extracted content matches exactly what you need.\n
\n", + "outputs": [], + "metadata": { + "id": "VZvxbjfXvbgd" + }, + "cell_type": "markdown", + "isExecuting": false, + "stdinRequest": null, + "executionState": "idle", + "execution_count": null, + "executionEndTime": null, + "executionStartTime": null + }, + { + "source": "from pydantic import BaseModel, Field\nfrom typing import List, Dict, Optional\n\n# Schema for founder information\nclass FounderSchema(BaseModel):\n name: str = Field(description=\"Name of the founder\")\n role: str = Field(description=\"Role of the founder in the company\")\n linkedin: str = Field(description=\"LinkedIn profile of the founder\")\n\n# Schema for pricing plans\nclass PricingPlanSchema(BaseModel):\n tier: str = Field(description=\"Name of the pricing tier\")\n price: str = Field(description=\"Price of the plan\")\n credits: int = Field(description=\"Number of credits included in the plan\")\n\n# Schema for social links\nclass SocialLinksSchema(BaseModel):\n linkedin: str = Field(description=\"LinkedIn page of the company\")\n twitter: str = Field(description=\"Twitter page of the company\")\n github: str = Field(description=\"GitHub page of the company\")\n\n# Schema for company information\nclass CompanyInfoSchema(BaseModel):\n company_name: str = Field(description=\"Name of the company\")\n description: str = Field(description=\"Brief description of the company\")\n founders: List[FounderSchema] = Field(description=\"List of company founders\")\n logo: str = Field(description=\"Logo URL of the company\")\n partners: List[str] = Field(description=\"List of company partners\")\n pricing_plans: List[PricingPlanSchema] = Field(description=\"Details of pricing plans\")\n contact_emails: List[str] = Field(description=\"Contact emails of the company\")\n social_links: SocialLinksSchema = Field(description=\"Social links of the company\")\n privacy_policy: str = Field(description=\"URL to the privacy policy\")\n terms_of_service: str = Field(description=\"URL to the terms of service\")\n api_status: str = Field(description=\"API status page URL\")", + "outputs": [], + "metadata": { + "id": "dlrOEgZk_8V4" + }, + "cell_type": "code", + "isExecuting": false, + "stdinRequest": null, + "executionState": "idle", + "execution_count": null, + "executionEndTime": null, + "executionStartTime": null + }, + { + "source": "### 🚀 Initialize `SGAI Client` and start extraction", + "outputs": [], + "metadata": { + "id": "cDGH0b2DkY63" + }, + "cell_type": "markdown", + "isExecuting": false, + "stdinRequest": null, + "executionState": "idle", + "execution_count": null, + "executionEndTime": null, + "executionStartTime": null + }, + { + "source": "Initialize the client for scraping (there's also an async version [here](https://github.com/ScrapeGraphAI/scrapegraph-sdk/blob/main/scrapegraph-py/examples/async_smartscraper_example.py))", + "outputs": [], + "metadata": { + "id": "4SLJgXgcob6L" + }, + "cell_type": "markdown", + "isExecuting": false, + "stdinRequest": null, + "executionState": "idle", + "execution_count": null, + "executionEndTime": null, + "executionStartTime": null + }, + { + "source": "from scrapegraph_py import Client\n\n# Initialize the client with explicit API key\nsgai_client = Client(api_key=sgai_api_key)", + "outputs": [], + "metadata": { + "id": "PQI25GZvoCSk" + }, + "cell_type": "code", + "isExecuting": false, + "stdinRequest": null, + "executionState": "idle", + "execution_count": null, + "executionEndTime": null, + "executionStartTime": null + }, + { + "source": "Here we use `Smartscraper` service to extract structured data using AI from a webpage.\n\n\n> If you already have an HTML file, you can upload it and use `Localscraper` instead.\n\n\n\n", + "outputs": [], + "metadata": { + "id": "M1KSXffZopUD" + }, + "cell_type": "markdown", + "isExecuting": false, + "stdinRequest": null, + "executionState": "idle", + "execution_count": null, + "executionEndTime": null, + "executionStartTime": null + }, + { + "source": "# Request for Trending Repositories\nrepo_response = sgai_client.smartscraper(\n website_url=\"https://scrapegraphai.com/\",\n user_prompt=\"Extract info about the company\",\n output_schema=CompanyInfoSchema,\n)", + "outputs": [], + "metadata": { + "id": "2FIKomclLNFx" + }, + "cell_type": "code", + "isExecuting": false, + "stdinRequest": null, + "executionState": "idle", + "execution_count": null, + "executionEndTime": null, + "executionStartTime": null + }, + { + "source": "Print the response", + "outputs": [], + "metadata": { + "id": "YZz1bqCIpoL8" + }, + "cell_type": "markdown", + "isExecuting": false, + "stdinRequest": null, + "executionState": "idle", + "execution_count": null, + "executionEndTime": null, + "executionStartTime": null + }, + { + "source": "import json\n\n# Print the response\nrequest_id = repo_response['request_id']\nresult = repo_response['result']\n\nprint(f\"Request ID: {request_id}\")\nprint(\"Company Info:\")\nprint(json.dumps(result, indent=2))", + "outputs": [ + { + "name": "stdout", + "text": [ + "Request ID: 87a7ea1a-9dd4-4d1d-ae76-b419ead57c11\n", + "Company Info:\n", + "{\n", + " \"company_name\": \"ScrapeGraphAI\",\n", + " \"description\": \"ScrapeGraphAI is a powerful AI scraping API designed for efficient web data extraction to power LLM applications and AI agents. It enables developers to perform intelligent AI scraping and extract structured information from websites using advanced AI techniques.\",\n", + " \"founders\": [\n", + " {\n", + " \"name\": \"\",\n", + " \"role\": \"Founder & Technical Lead\",\n", + " \"linkedin\": \"https://www.linkedin.com/in/perinim/\"\n", + " },\n", + " {\n", + " \"name\": \"Marco Vinciguerra\",\n", + " \"role\": \"Founder & Software Engineer\",\n", + " \"linkedin\": \"https://www.linkedin.com/in/marco-vinciguerra-7ba365242/\"\n", + " },\n", + " {\n", + " \"name\": \"Lorenzo Padoan\",\n", + " \"role\": \"Founder & Product Engineer\",\n", + " \"linkedin\": \"https://www.linkedin.com/in/lorenzo-padoan-4521a2154/\"\n", + " }\n", + " ],\n", + " \"logo\": \"https://scrapegraphai.com/images/scrapegraphai_logo.svg\",\n", + " \"partners\": [\n", + " \"PostHog\",\n", + " \"AWS\",\n", + " \"NVIDIA\",\n", + " \"JinaAI\",\n", + " \"DagWorks\",\n", + " \"Browserbase\",\n", + " \"ScrapeDo\",\n", + " \"HackerNews\",\n", + " \"Medium\",\n", + " \"HackADay\"\n", + " ],\n", + " \"pricing_plans\": [\n", + " {\n", + " \"tier\": \"Free\",\n", + " \"price\": \"$0\",\n", + " \"credits\": 100\n", + " },\n", + " {\n", + " \"tier\": \"Starter\",\n", + " \"price\": \"$20/month\",\n", + " \"credits\": 5000\n", + " },\n", + " {\n", + " \"tier\": \"Growth\",\n", + " \"price\": \"$100/month\",\n", + " \"credits\": 40000\n", + " },\n", + " {\n", + " \"tier\": \"Pro\",\n", + " \"price\": \"$500/month\",\n", + " \"credits\": 250000\n", + " }\n", + " ],\n", + " \"contact_emails\": [\n", + " \"contact@scrapegraphai.com\"\n", + " ],\n", + " \"social_links\": {\n", + " \"linkedin\": \"https://www.linkedin.com/company/101881123\",\n", + " \"twitter\": \"https://x.com/scrapegraphai\",\n", + " \"github\": \"https://github.com/ScrapeGraphAI/Scrapegraph-ai\"\n", + " },\n", + " \"privacy_policy\": \"https://scrapegraphai.com/privacy\",\n", + " \"terms_of_service\": \"https://scrapegraphai.com/terms\",\n", + " \"api_status\": \"https://scrapegraphapi.openstatus.dev\"\n", + "}\n" + ], + "output_type": "stream" + } + ], + "metadata": { + "id": "F1VfD8B4LPc8", + "colab": { + "base_uri": "https://localhost:8080/" + }, + "outputId": "8d7b2955-1569-4b3a-8ffe-014a8442dd12", + "executionInfo": { + "user": { + "userId": "10474323355016263615", + "displayName": "ScrapeGraphAI" + }, + "status": "ok", + "elapsed": 339, + "user_tz": -60, + "timestamp": 1734532533318 + } + }, + "cell_type": "code", + "isExecuting": false, + "stdinRequest": null, + "executionState": "idle", + "execution_count": null, + "executionEndTime": null, + "executionStartTime": null + }, + { + "source": "### 💾 Save the output to a `CSV` file", + "outputs": [], + "metadata": { + "id": "2as65QLypwdb" + }, + "cell_type": "markdown", + "isExecuting": false, + "stdinRequest": null, + "executionState": "idle", + "execution_count": null, + "executionEndTime": null, + "executionStartTime": null + }, + { + "source": "Let's create a pandas dataframe and show the tables with the extracted content", + "outputs": [], + "metadata": { + "id": "HTLVFgbVLLBR" + }, + "cell_type": "markdown", + "isExecuting": false, + "stdinRequest": null, + "executionState": "idle", + "execution_count": null, + "executionEndTime": null, + "executionStartTime": null + }, + { + "source": "import pandas as pd\n\n# Flatten and save main company information\ncompany_info = {\n \"company_name\": result[\"company_name\"],\n \"description\": result[\"description\"],\n \"logo\": result[\"logo\"],\n \"contact_emails\": \", \".join(result[\"contact_emails\"]),\n \"privacy_policy\": result[\"privacy_policy\"],\n \"terms_of_service\": result[\"terms_of_service\"],\n \"api_status\": result[\"api_status\"],\n \"linkedin\": result[\"social_links\"][\"linkedin\"],\n \"twitter\": result[\"social_links\"][\"twitter\"],\n \"github\": result[\"social_links\"].get(\"github\", None)\n}\n\n# Creating dataframes\ndf_company = pd.DataFrame([company_info])\ndf_founders = pd.DataFrame(result[\"founders\"])\ndf_pricing = pd.DataFrame(result[\"pricing_plans\"])\ndf_partners = pd.DataFrame({\"partner\": result[\"partners\"]})", + "outputs": [], + "metadata": { + "id": "1lS9O1KOI51y" + }, + "cell_type": "code", + "isExecuting": false, + "stdinRequest": null, + "executionState": "idle", + "execution_count": null, + "executionEndTime": null, + "executionStartTime": null + }, + { + "source": "Show flattened tables", + "outputs": [], + "metadata": { + "id": "JJI9huPkOY9t" + }, + "cell_type": "markdown", + "isExecuting": false, + "stdinRequest": null, + "executionState": "idle", + "execution_count": null, + "executionEndTime": null, + "executionStartTime": null + }, + { + "source": "df_company", + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "
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\n" + ], + "text/plain": [ + " tier price credits\n", + "0 Free $0 100\n", + "1 Starter $20/month 5000\n", + "2 Growth $100/month 40000\n", + "3 Pro $500/month 250000" + ], + "application/vnd.google.colaboratory.intrinsic+json": { + "type": "dataframe", + "summary": "{\n \"name\": \"df_pricing\",\n \"rows\": 4,\n \"fields\": [\n {\n \"column\": \"tier\",\n \"properties\": {\n \"dtype\": \"string\",\n \"num_unique_values\": 4,\n \"samples\": [\n \"Starter\",\n \"Pro\",\n \"Free\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"price\",\n \"properties\": {\n \"dtype\": \"string\",\n \"num_unique_values\": 4,\n \"samples\": [\n \"$20/month\",\n \"$500/month\",\n \"$0\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"credits\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 118819,\n \"min\": 100,\n \"max\": 250000,\n \"num_unique_values\": 4,\n \"samples\": [\n 5000,\n 250000,\n 100\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n }\n ]\n}", + "variable_name": "df_pricing" + } + }, + "metadata": {}, + "output_type": "execute_result", + "execution_count": 12 + } + ], + "metadata": { + "id": "SWpCvl53OgyQ", + "colab": { + "height": 175, + "base_uri": "https://localhost:8080/" + }, + "outputId": "c256f5e5-227a-4df4-da16-d0021aaf03a1", + "executionInfo": { + "user": { + "userId": "10474323355016263615", + "displayName": "ScrapeGraphAI" + }, + "status": "ok", + "elapsed": 312, + "user_tz": -60, + "timestamp": 1734533059550 + } + }, + "cell_type": "code", + "isExecuting": false, + "stdinRequest": null, + "executionState": "idle", + "execution_count": null, + "executionEndTime": null, + "executionStartTime": null + }, + { + "source": "df_partners", + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "
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partner
0PostHog
1AWS
2NVIDIA
3JinaAI
4DagWorks
5Browserbase
6ScrapeDo
7HackerNews
8Medium
9HackADay
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\n \"ScrapeGraph\n

\n\n\n- 🚀 **Get your API Key:** [ScrapeGraphAI Dashboard](https://dashboard.scrapegraphai.com) \n- 🐙 **GitHub:** [ScrapeGraphAI GitHub](https://github.com/scrapegraphai) \n- 💼 **LinkedIn:** [ScrapeGraphAI LinkedIn](https://www.linkedin.com/company/scrapegraphai/) \n- 🐦 **Twitter:** [ScrapeGraphAI Twitter](https://twitter.com/scrapegraphai) \n- 💬 **Discord:** [Join our Discord Community](https://discord.gg/uJN7TYcpNa) \n\nMade with ❤️ by the [ScrapeGraphAI](https://scrapegraphai.com) Team \n", + "outputs": [], + "metadata": { + "id": "dUi2LtMLRDDR" + }, + "cell_type": "markdown", + "isExecuting": false, + "stdinRequest": null, + "executionState": "idle", + "execution_count": null, + "executionEndTime": null, + "executionStartTime": null + } + ], + "metadata": { + "colab": { + "provenance": [], + "authorship_tag": "ABX9TyO57uo4LpNqAm10rmE0B6Q5", + "collapsed_sections": [ + "IzsyDXEWwPVt" + ] + }, + "kernelspec": { + "name": "python3", + "display_name": "Python 3" + }, + "language_info": { + "name": "python" + } + }, + "nbformat": 4, + "nbformat_minor": 0 +} \ No newline at end of file From 55c031fc7d2628bc66b1a265f05e955647d2298b Mon Sep 17 00:00:00 2001 From: Vikrant-Khedkar Date: Mon, 11 May 2026 13:36:22 +0530 Subject: [PATCH 2/2] docs: swap banner image in company-info SDK cookbook Replaces the old "Presentazione senza titolo.pptx" base64 banner with the updated ScrapeGraphAI banner (163KB -> 87KB). Co-Authored-By: Claude Opus 4.7 (1M context) --- cookbook/company-info/scrapegraph_sdk.ipynb | 3766 ++++++++++--------- 1 file changed, 1910 insertions(+), 1856 deletions(-) diff --git a/cookbook/company-info/scrapegraph_sdk.ipynb b/cookbook/company-info/scrapegraph_sdk.ipynb index 1a8e4505..cf207c9e 100644 --- a/cookbook/company-info/scrapegraph_sdk.ipynb +++ b/cookbook/company-info/scrapegraph_sdk.ipynb @@ -1,1888 +1,1942 @@ { - "cells": [ - { - "source": "## 🕷️ Extract Company Info with Official Scrapegraph SDK\n\n[![Open in Alph](https://www.runalph.ai/badges/open-in-alph.svg)](https://www.runalph.ai/notebooks/scrapegraphai/scrapegraph-sdk) [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/drive/12d7LycLAYO2bFsBo_jtPHXSaIg7AqR3O?usp=sharing)", - "outputs": [ - { - "data": { - "text/plain": "## 🕷️ Extract Company Info with Official Scrapegraph SDK\n\n[![Open in Alph](https://www.runalph.ai/badges/open-in-alph.svg)](https://www.runalph.ai/notebooks/scrapegraphai/scrapegraph-sdk) [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/drive/12d7LycLAYO2bFsBo_jtPHXSaIg7AqR3O?usp=sharing)", - "text/markdown": "## 🕷️ Extract Company Info with Official Scrapegraph SDK\n\n[![Open in Alph](https://www.runalph.ai/badges/open-in-alph.svg)](https://www.runalph.ai/notebooks/scrapegraphai/scrapegraph-sdk) [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/drive/12d7LycLAYO2bFsBo_jtPHXSaIg7AqR3O?usp=sharing)" - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "metadata": { - "id": "jEkuKbcRrPcK" - }, - "cell_type": "markdown", - "isExecuting": false, - "stdinRequest": null, - "executionState": "completed", - "execution_count": null, - "executionEndTime": "2026-03-26T00:04:40.205Z", - "executionStartTime": 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- "outputs": [], - "metadata": { - "id": "3Q5VM3SsRlxO" - }, - "cell_type": "markdown", - "isExecuting": false, - "stdinRequest": null, - "executionState": "idle", - "execution_count": null, - "executionEndTime": null, - "executionStartTime": null - }, - { - "source": "### 🔧 Install `dependencies`", - "outputs": [], - "metadata": { - "id": "IzsyDXEWwPVt" - }, - "cell_type": "markdown", - "isExecuting": false, - "stdinRequest": null, - "executionState": "idle", - "execution_count": null, - "executionEndTime": null, - "executionStartTime": null - }, - { - "source": "%%capture\n!pip install scrapegraph-py", - "outputs": [], - "metadata": { - "id": "os_vm0MkIxr9" - }, - "cell_type": "code", - "isExecuting": false, - "stdinRequest": null, - "executionState": "idle", - "execution_count": null, - "executionEndTime": null, - "executionStartTime": null - }, - { - "source": "### 🔑 Import `ScrapeGraph` API key", - "outputs": [], - "metadata": { - "id": "apBsL-L2KzM7" - }, - "cell_type": "markdown", - "isExecuting": false, - "stdinRequest": null, - "executionState": "idle", - "execution_count": null, - "executionEndTime": null, - "executionStartTime": null - }, - { - "source": "You can find the Scrapegraph API key [here](https://dashboard.scrapegraphai.com/)", - "outputs": [], - "metadata": { - "id": "ol9gQbAFkh9b" - }, - "cell_type": "markdown", - "isExecuting": false, - "stdinRequest": null, - "executionState": "idle", - "execution_count": null, - "executionEndTime": null, - "executionStartTime": null - }, - { - "source": "import getpass\nimport os\n\nif not os.environ.get(\"SGAI_API_KEY\"):\n os.environ[\"SGAI_API_KEY\"] = getpass.getpass(\"Scrapegraph API key:\\n\")", - "outputs": [ - { - "name": "stdout", - "text": [ - "SGAI_API_KEY not found in environment.\n", - "Please enter your SGAI_API_KEY: ··········\n", - "SGAI_API_KEY has been set in the environment.\n" - ], - "output_type": "stream" - } - ], - "metadata": { - "id": "sffqFG2EJ8bI", - "colab": { - "base_uri": "https://localhost:8080/" - }, - "outputId": "f6b837cd-0f00-49cc-cb6f-f2bca57544f5", - "executionInfo": { - "user": { - "userId": "10474323355016263615", - "displayName": "ScrapeGraphAI" - }, - "status": "ok", - "elapsed": 6877, - "user_tz": -60, - "timestamp": 1734532300517 - } - }, - "cell_type": "code", - "isExecuting": false, - "stdinRequest": null, - "executionState": "idle", - "execution_count": null, - "executionEndTime": null, - "executionStartTime": null - }, - { - "source": "### 📝 Defining an `Output Schema` for Webpage Content Extraction\n", - "outputs": [], - "metadata": { - "id": "jnqMB2-xVYQ7" - }, - "cell_type": "markdown", - "isExecuting": false, - "stdinRequest": null, - "executionState": "idle", - "execution_count": null, - "executionEndTime": null, - "executionStartTime": null - }, - { - "source": "If you already know what you want to extract from a webpage, you can **define an output schema** using **Pydantic**. This schema acts as a \"blueprint\" that tells the AI how to structure the response.\n\n
\n Pydantic Schema Quick Guide\n\nTypes of Schemas \n\n1. Simple Schema \nUse this when you want to extract straightforward information, such as a single piece of content. \n\n```python\nfrom pydantic import BaseModel, Field\n\n# Simple schema for a single webpage\nclass PageInfoSchema(BaseModel):\n title: str = Field(description=\"The title of the webpage\")\n description: str = Field(description=\"The description of the webpage\")\n\n# Example Output JSON after AI extraction\n{\n \"title\": \"ScrapeGraphAI: The Best Content Extraction Tool\",\n \"description\": \"ScrapeGraphAI provides powerful tools for structured content extraction from websites.\"\n}\n```\n\n2. Complex Schema (Nested) \nIf you need to extract structured information with multiple related items (like a list of repositories), you can **nest schemas**.\n\n```python\nfrom pydantic import BaseModel, Field\nfrom typing import List\n\n# Define a schema for a single repository\nclass RepositorySchema(BaseModel):\n name: str = Field(description=\"Name of the repository (e.g., 'owner/repo')\")\n description: str = Field(description=\"Description of the repository\")\n stars: int = Field(description=\"Star count of the repository\")\n forks: int = Field(description=\"Fork count of the repository\")\n today_stars: int = Field(description=\"Stars gained today\")\n language: str = Field(description=\"Programming language used\")\n\n# Define a schema for a list of repositories\nclass ListRepositoriesSchema(BaseModel):\n repositories: List[RepositorySchema] = Field(description=\"List of GitHub trending repositories\")\n\n# Example Output JSON after AI extraction\n{\n \"repositories\": [\n {\n \"name\": \"google-gemini/cookbook\",\n \"description\": \"Examples and guides for using the Gemini API\",\n \"stars\": 8036,\n \"forks\": 1001,\n \"today_stars\": 649,\n \"language\": \"Jupyter Notebook\"\n },\n {\n \"name\": \"TEN-framework/TEN-Agent\",\n \"description\": \"TEN Agent is a conversational AI powered by TEN, integrating Gemini 2.0 Multimodal Live API, OpenAI Realtime API, RTC, and more.\",\n \"stars\": 3224,\n \"forks\": 311,\n \"today_stars\": 361,\n \"language\": \"Python\"\n }\n ]\n}\n```\n\nKey Takeaways \n- **Simple Schema**: Perfect for small, straightforward extractions. \n- **Complex Schema**: Use nesting to extract lists or structured data, like \"a list of repositories.\" \n\nBoth approaches give the AI a clear structure to follow, ensuring that the extracted content matches exactly what you need.\n
\n", - "outputs": [], - "metadata": { - "id": "VZvxbjfXvbgd" - }, - "cell_type": "markdown", - "isExecuting": false, - "stdinRequest": null, - "executionState": "idle", - "execution_count": null, - "executionEndTime": null, - "executionStartTime": null - }, - { - "source": "from pydantic import BaseModel, Field\nfrom typing import List, Dict, Optional\n\n# Schema for founder information\nclass FounderSchema(BaseModel):\n name: str = Field(description=\"Name of the founder\")\n role: str = Field(description=\"Role of the founder in the company\")\n linkedin: str = Field(description=\"LinkedIn profile of the founder\")\n\n# Schema for pricing plans\nclass PricingPlanSchema(BaseModel):\n tier: str = Field(description=\"Name of the pricing tier\")\n price: str = Field(description=\"Price of the plan\")\n credits: int = Field(description=\"Number of credits included in the plan\")\n\n# Schema for social links\nclass SocialLinksSchema(BaseModel):\n linkedin: str = Field(description=\"LinkedIn page of the company\")\n twitter: str = Field(description=\"Twitter page of the company\")\n github: str = Field(description=\"GitHub page of the company\")\n\n# Schema for company information\nclass CompanyInfoSchema(BaseModel):\n company_name: str = Field(description=\"Name of the company\")\n description: str = Field(description=\"Brief description of the company\")\n founders: List[FounderSchema] = Field(description=\"List of company founders\")\n logo: str = Field(description=\"Logo URL of the company\")\n partners: List[str] = Field(description=\"List of company partners\")\n pricing_plans: List[PricingPlanSchema] = Field(description=\"Details of pricing plans\")\n contact_emails: List[str] = Field(description=\"Contact emails of the company\")\n social_links: SocialLinksSchema = Field(description=\"Social links of the company\")\n privacy_policy: str = Field(description=\"URL to the privacy policy\")\n terms_of_service: str = Field(description=\"URL to the terms of service\")\n api_status: str = Field(description=\"API status page URL\")", - "outputs": [], - "metadata": { - "id": "dlrOEgZk_8V4" - }, - "cell_type": "code", - "isExecuting": false, - "stdinRequest": null, - "executionState": "idle", - "execution_count": null, - "executionEndTime": null, - "executionStartTime": null + "cells": [ + { + "cell_type": "markdown", + "metadata": { + "id": "jEkuKbcRrPcK" + }, + "source": [ + "## \ud83d\udd77\ufe0f Extract Company Info with Official Scrapegraph SDK\n", + "\n", + "[![Open in Alph](https://www.runalph.ai/badges/open-in-alph.svg)](https://www.runalph.ai/notebooks/scrapegraphai/scrapegraph-sdk) [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/drive/12d7LycLAYO2bFsBo_jtPHXSaIg7AqR3O?usp=sharing)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "3Q5VM3SsRlxO" + }, + "source": [ + "![scrapegraph 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+ ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "IzsyDXEWwPVt" + }, + "source": [ + "### \ud83d\udd27 Install `dependencies`" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "os_vm0MkIxr9" + }, + "outputs": [], + "source": [ + "%%capture\n", + "!pip install scrapegraph-py" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "apBsL-L2KzM7" + }, + "source": [ + "### \ud83d\udd11 Import `ScrapeGraph` API key" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "ol9gQbAFkh9b" + }, + "source": [ + "You can find the Scrapegraph API key [here](https://dashboard.scrapegraphai.com/)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" }, - { - "source": "### 🚀 Initialize `SGAI Client` and start extraction", - "outputs": [], - "metadata": { - "id": "cDGH0b2DkY63" - }, - "cell_type": "markdown", - "isExecuting": false, - "stdinRequest": null, - "executionState": "idle", - "execution_count": null, - "executionEndTime": null, - "executionStartTime": null + "executionInfo": { + "elapsed": 6877, + "status": "ok", + "timestamp": 1734532300517, + "user": { + "displayName": "ScrapeGraphAI", + "userId": "10474323355016263615" + }, + "user_tz": -60 }, + "id": "sffqFG2EJ8bI", + "outputId": "f6b837cd-0f00-49cc-cb6f-f2bca57544f5" + }, + "outputs": [ { - "source": "Initialize the client for scraping (there's also an async version [here](https://github.com/ScrapeGraphAI/scrapegraph-sdk/blob/main/scrapegraph-py/examples/async_smartscraper_example.py))", - "outputs": [], - "metadata": { - "id": "4SLJgXgcob6L" - }, - "cell_type": "markdown", - "isExecuting": false, - "stdinRequest": null, - "executionState": "idle", - "execution_count": null, - "executionEndTime": null, - "executionStartTime": null + "name": "stdout", + "output_type": "stream", + "text": [ + "SGAI_API_KEY not found in environment.\n", + "Please enter your SGAI_API_KEY: \u00b7\u00b7\u00b7\u00b7\u00b7\u00b7\u00b7\u00b7\u00b7\u00b7\n", + "SGAI_API_KEY has been set in the environment.\n" + ] + } + ], + "source": [ + "import getpass\n", + "import os\n", + "\n", + "if not os.environ.get(\"SGAI_API_KEY\"):\n", + " os.environ[\"SGAI_API_KEY\"] = getpass.getpass(\"Scrapegraph API key:\\n\")" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "jnqMB2-xVYQ7" + }, + "source": [ + "### \ud83d\udcdd Defining an `Output Schema` for Webpage Content Extraction\n" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "VZvxbjfXvbgd" + }, + "source": [ + "If you already know what you want to extract from a webpage, you can **define an output schema** using **Pydantic**. This schema acts as a \"blueprint\" that tells the AI how to structure the response.\n", + "\n", + "
\n", + " Pydantic Schema Quick Guide\n", + "\n", + "Types of Schemas \n", + "\n", + "1. Simple Schema \n", + "Use this when you want to extract straightforward information, such as a single piece of content. \n", + "\n", + "```python\n", + "from pydantic import BaseModel, Field\n", + "\n", + "# Simple schema for a single webpage\n", + "class PageInfoSchema(BaseModel):\n", + " title: str = Field(description=\"The title of the webpage\")\n", + " description: str = Field(description=\"The description of the webpage\")\n", + "\n", + "# Example Output JSON after AI extraction\n", + "{\n", + " \"title\": \"ScrapeGraphAI: The Best Content Extraction Tool\",\n", + " \"description\": \"ScrapeGraphAI provides powerful tools for structured content extraction from websites.\"\n", + "}\n", + "```\n", + "\n", + "2. Complex Schema (Nested) \n", + "If you need to extract structured information with multiple related items (like a list of repositories), you can **nest schemas**.\n", + "\n", + "```python\n", + "from pydantic import BaseModel, Field\n", + "from typing import List\n", + "\n", + "# Define a schema for a single repository\n", + "class RepositorySchema(BaseModel):\n", + " name: str = Field(description=\"Name of the repository (e.g., 'owner/repo')\")\n", + " description: str = Field(description=\"Description of the repository\")\n", + " stars: int = Field(description=\"Star count of the repository\")\n", + " forks: int = Field(description=\"Fork count of the repository\")\n", + " today_stars: int = Field(description=\"Stars gained today\")\n", + " language: str = Field(description=\"Programming language used\")\n", + "\n", + "# Define a schema for a list of repositories\n", + "class ListRepositoriesSchema(BaseModel):\n", + " repositories: List[RepositorySchema] = Field(description=\"List of GitHub trending repositories\")\n", + "\n", + "# Example Output JSON after AI extraction\n", + "{\n", + " \"repositories\": [\n", + " {\n", + " \"name\": \"google-gemini/cookbook\",\n", + " \"description\": \"Examples and guides for using the Gemini API\",\n", + " \"stars\": 8036,\n", + " \"forks\": 1001,\n", + " \"today_stars\": 649,\n", + " \"language\": \"Jupyter Notebook\"\n", + " },\n", + " {\n", + " \"name\": \"TEN-framework/TEN-Agent\",\n", + " \"description\": \"TEN Agent is a conversational AI powered by TEN, integrating Gemini 2.0 Multimodal Live API, OpenAI Realtime API, RTC, and more.\",\n", + " \"stars\": 3224,\n", + " \"forks\": 311,\n", + " \"today_stars\": 361,\n", + " \"language\": \"Python\"\n", + " }\n", + " ]\n", + "}\n", + "```\n", + "\n", + "Key Takeaways \n", + "- **Simple Schema**: Perfect for small, straightforward extractions. \n", + "- **Complex Schema**: Use nesting to extract lists or structured data, like \"a list of repositories.\" \n", + "\n", + "Both approaches give the AI a clear structure to follow, ensuring that the extracted content matches exactly what you need.\n", + "
\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "dlrOEgZk_8V4" + }, + "outputs": [], + "source": [ + "from pydantic import BaseModel, Field\n", + "from typing import List, Dict, Optional\n", + "\n", + "# Schema for founder information\n", + "class FounderSchema(BaseModel):\n", + " name: str = Field(description=\"Name of the founder\")\n", + " role: str = Field(description=\"Role of the founder in the company\")\n", + " linkedin: str = Field(description=\"LinkedIn profile of the founder\")\n", + "\n", + "# Schema for pricing plans\n", + "class PricingPlanSchema(BaseModel):\n", + " tier: str = Field(description=\"Name of the pricing tier\")\n", + " price: str = Field(description=\"Price of the plan\")\n", + " credits: int = Field(description=\"Number of credits included in the plan\")\n", + "\n", + "# Schema for social links\n", + "class SocialLinksSchema(BaseModel):\n", + " linkedin: str = Field(description=\"LinkedIn page of the company\")\n", + " twitter: str = Field(description=\"Twitter page of the company\")\n", + " github: str = Field(description=\"GitHub page of the company\")\n", + "\n", + "# Schema for company information\n", + "class CompanyInfoSchema(BaseModel):\n", + " company_name: str = Field(description=\"Name of the company\")\n", + " description: str = Field(description=\"Brief description of the company\")\n", + " founders: List[FounderSchema] = Field(description=\"List of company founders\")\n", + " logo: str = Field(description=\"Logo URL of the company\")\n", + " partners: List[str] = Field(description=\"List of company partners\")\n", + " pricing_plans: List[PricingPlanSchema] = Field(description=\"Details of pricing plans\")\n", + " contact_emails: List[str] = Field(description=\"Contact emails of the company\")\n", + " social_links: SocialLinksSchema = Field(description=\"Social links of the company\")\n", + " privacy_policy: str = Field(description=\"URL to the privacy policy\")\n", + " terms_of_service: str = Field(description=\"URL to the terms of service\")\n", + " api_status: str = Field(description=\"API status page URL\")" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "cDGH0b2DkY63" + }, + "source": [ + "### \ud83d\ude80 Initialize `SGAI Client` and start extraction" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "4SLJgXgcob6L" + }, + "source": [ + "Initialize the client for scraping (there's also an async version [here](https://github.com/ScrapeGraphAI/scrapegraph-sdk/blob/main/scrapegraph-py/examples/async_smartscraper_example.py))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "PQI25GZvoCSk" + }, + "outputs": [], + "source": [ + "from scrapegraph_py import Client\n", + "\n", + "# Initialize the client with explicit API key\n", + "sgai_client = Client(api_key=sgai_api_key)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "M1KSXffZopUD" + }, + "source": [ + "Here we use `Smartscraper` service to extract structured data using AI from a webpage.\n", + "\n", + "\n", + "> If you already have an HTML file, you can upload it and use `Localscraper` instead.\n", + "\n", + "\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "2FIKomclLNFx" + }, + "outputs": [], + "source": [ + "# Request for Trending Repositories\n", + "repo_response = sgai_client.smartscraper(\n", + " website_url=\"https://scrapegraphai.com/\",\n", + " user_prompt=\"Extract info about the company\",\n", + " output_schema=CompanyInfoSchema,\n", + ")" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "YZz1bqCIpoL8" + }, + "source": [ + "Print the response" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" }, - { - "source": "from scrapegraph_py import Client\n\n# Initialize the client with explicit API key\nsgai_client = Client(api_key=sgai_api_key)", - "outputs": [], - "metadata": { - "id": "PQI25GZvoCSk" - }, - "cell_type": "code", - "isExecuting": false, - "stdinRequest": null, - "executionState": "idle", - "execution_count": null, - "executionEndTime": null, - "executionStartTime": null + "executionInfo": { + "elapsed": 339, + "status": "ok", + "timestamp": 1734532533318, + "user": { + "displayName": "ScrapeGraphAI", + "userId": "10474323355016263615" + }, + "user_tz": -60 }, + "id": "F1VfD8B4LPc8", + "outputId": "8d7b2955-1569-4b3a-8ffe-014a8442dd12" + }, + "outputs": [ { - "source": "Here we use `Smartscraper` service to extract structured data using AI from a webpage.\n\n\n> If you already have an HTML file, you can upload it and use `Localscraper` instead.\n\n\n\n", - "outputs": [], - "metadata": { - "id": "M1KSXffZopUD" - }, - "cell_type": "markdown", - "isExecuting": false, - "stdinRequest": null, - "executionState": "idle", - "execution_count": null, - "executionEndTime": null, - "executionStartTime": null + "name": "stdout", + "output_type": "stream", + "text": [ + "Request ID: 87a7ea1a-9dd4-4d1d-ae76-b419ead57c11\n", + "Company Info:\n", + "{\n", + " \"company_name\": \"ScrapeGraphAI\",\n", + " \"description\": \"ScrapeGraphAI is a powerful AI scraping API designed for efficient web data extraction to power LLM applications and AI agents. It enables developers to perform intelligent AI scraping and extract structured information from websites using advanced AI techniques.\",\n", + " \"founders\": [\n", + " {\n", + " \"name\": \"\",\n", + " \"role\": \"Founder & Technical Lead\",\n", + " \"linkedin\": \"https://www.linkedin.com/in/perinim/\"\n", + " },\n", + " {\n", + " \"name\": \"Marco Vinciguerra\",\n", + " \"role\": \"Founder & Software Engineer\",\n", + " \"linkedin\": \"https://www.linkedin.com/in/marco-vinciguerra-7ba365242/\"\n", + " },\n", + " {\n", + " \"name\": \"Lorenzo Padoan\",\n", + " \"role\": \"Founder & Product Engineer\",\n", + " \"linkedin\": \"https://www.linkedin.com/in/lorenzo-padoan-4521a2154/\"\n", + " }\n", + " ],\n", + " \"logo\": \"https://scrapegraphai.com/images/scrapegraphai_logo.svg\",\n", + " \"partners\": [\n", + " \"PostHog\",\n", + " \"AWS\",\n", + " \"NVIDIA\",\n", + " \"JinaAI\",\n", + " \"DagWorks\",\n", + " \"Browserbase\",\n", + " \"ScrapeDo\",\n", + " \"HackerNews\",\n", + " \"Medium\",\n", + " \"HackADay\"\n", + " ],\n", + " \"pricing_plans\": [\n", + " {\n", + " \"tier\": \"Free\",\n", + " \"price\": \"$0\",\n", + " \"credits\": 100\n", + " },\n", + " {\n", + " \"tier\": \"Starter\",\n", + " \"price\": \"$20/month\",\n", + " \"credits\": 5000\n", + " },\n", + " {\n", + " \"tier\": \"Growth\",\n", + " \"price\": \"$100/month\",\n", + " \"credits\": 40000\n", + " },\n", + " {\n", + " \"tier\": \"Pro\",\n", + " \"price\": \"$500/month\",\n", + " \"credits\": 250000\n", + " }\n", + " ],\n", + " \"contact_emails\": [\n", + " \"contact@scrapegraphai.com\"\n", + " ],\n", + " \"social_links\": {\n", + " \"linkedin\": \"https://www.linkedin.com/company/101881123\",\n", + " \"twitter\": \"https://x.com/scrapegraphai\",\n", + " \"github\": \"https://github.com/ScrapeGraphAI/Scrapegraph-ai\"\n", + " },\n", + " \"privacy_policy\": \"https://scrapegraphai.com/privacy\",\n", + " \"terms_of_service\": \"https://scrapegraphai.com/terms\",\n", + " \"api_status\": \"https://scrapegraphapi.openstatus.dev\"\n", + "}\n" + ] + } + ], + "source": [ + "import json\n", + "\n", + "# Print the response\n", + "request_id = repo_response['request_id']\n", + "result = repo_response['result']\n", + "\n", + "print(f\"Request ID: {request_id}\")\n", + "print(\"Company Info:\")\n", + "print(json.dumps(result, indent=2))" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "2as65QLypwdb" + }, + "source": [ + "### \ud83d\udcbe Save the output to a `CSV` file" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "HTLVFgbVLLBR" + }, + "source": [ + "Let's create a pandas dataframe and show the tables with the extracted content" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "1lS9O1KOI51y" + }, + "outputs": [], + "source": [ + "import pandas as pd\n", + "\n", + "# Flatten and save main company information\n", + "company_info = {\n", + " \"company_name\": result[\"company_name\"],\n", + " \"description\": result[\"description\"],\n", + " \"logo\": result[\"logo\"],\n", + " \"contact_emails\": \", \".join(result[\"contact_emails\"]),\n", + " \"privacy_policy\": result[\"privacy_policy\"],\n", + " \"terms_of_service\": result[\"terms_of_service\"],\n", + " \"api_status\": result[\"api_status\"],\n", + " \"linkedin\": result[\"social_links\"][\"linkedin\"],\n", + " \"twitter\": result[\"social_links\"][\"twitter\"],\n", + " \"github\": result[\"social_links\"].get(\"github\", None)\n", + "}\n", + "\n", + "# Creating dataframes\n", + "df_company = pd.DataFrame([company_info])\n", + "df_founders = pd.DataFrame(result[\"founders\"])\n", + "df_pricing = pd.DataFrame(result[\"pricing_plans\"])\n", + "df_partners = pd.DataFrame({\"partner\": result[\"partners\"]})" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "JJI9huPkOY9t" + }, + "source": [ + "Show flattened tables" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 153 }, - { - "source": "# Request for Trending Repositories\nrepo_response = sgai_client.smartscraper(\n website_url=\"https://scrapegraphai.com/\",\n user_prompt=\"Extract info about the company\",\n output_schema=CompanyInfoSchema,\n)", - "outputs": [], - "metadata": { - "id": "2FIKomclLNFx" - }, - "cell_type": "code", - "isExecuting": false, - "stdinRequest": null, - "executionState": "idle", - "execution_count": null, - "executionEndTime": null, - "executionStartTime": null + "executionInfo": { + "elapsed": 199, + "status": "ok", + "timestamp": 1734533012061, + "user": { + "displayName": "ScrapeGraphAI", + "userId": "10474323355016263615" + }, + "user_tz": -60 }, + "id": "vZs8ZutKOT63", + "outputId": "1278a9b9-2ab8-4150-8d37-328d4eb27e49" + }, + "outputs": [ { - "source": "Print the response", - "outputs": [], - "metadata": { - "id": "YZz1bqCIpoL8" + "data": { + "application/vnd.google.colaboratory.intrinsic+json": { + "summary": "{\n \"name\": \"df_company\",\n \"rows\": 1,\n \"fields\": [\n {\n \"column\": \"company_name\",\n \"properties\": {\n \"dtype\": \"string\",\n \"num_unique_values\": 1,\n \"samples\": [\n \"ScrapeGraphAI\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"description\",\n \"properties\": {\n \"dtype\": \"string\",\n \"num_unique_values\": 1,\n \"samples\": [\n \"ScrapeGraphAI is a powerful AI scraping API designed for efficient web data extraction to power LLM applications and AI agents. It enables developers to perform intelligent AI scraping and extract structured information from websites using advanced AI techniques.\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"logo\",\n \"properties\": {\n \"dtype\": \"string\",\n \"num_unique_values\": 1,\n \"samples\": [\n \"https://scrapegraphai.com/images/scrapegraphai_logo.svg\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"contact_emails\",\n \"properties\": {\n \"dtype\": \"string\",\n \"num_unique_values\": 1,\n \"samples\": [\n \"contact@scrapegraphai.com\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"privacy_policy\",\n \"properties\": {\n \"dtype\": \"string\",\n \"num_unique_values\": 1,\n \"samples\": [\n \"https://scrapegraphai.com/privacy\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"terms_of_service\",\n \"properties\": {\n \"dtype\": \"string\",\n \"num_unique_values\": 1,\n \"samples\": [\n \"https://scrapegraphai.com/terms\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"api_status\",\n \"properties\": {\n \"dtype\": \"string\",\n \"num_unique_values\": 1,\n \"samples\": [\n \"https://scrapegraphapi.openstatus.dev\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"linkedin\",\n \"properties\": {\n \"dtype\": \"string\",\n \"num_unique_values\": 1,\n \"samples\": [\n \"https://www.linkedin.com/company/101881123\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"twitter\",\n \"properties\": {\n \"dtype\": \"string\",\n \"num_unique_values\": 1,\n \"samples\": [\n \"https://x.com/scrapegraphai\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"github\",\n \"properties\": {\n \"dtype\": \"string\",\n \"num_unique_values\": 1,\n \"samples\": [\n \"https://github.com/ScrapeGraphAI/Scrapegraph-ai\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n }\n ]\n}", + "type": "dataframe", + "variable_name": "df_company" }, - "cell_type": "markdown", - "isExecuting": false, - "stdinRequest": null, - "executionState": "idle", - "execution_count": null, - "executionEndTime": null, - "executionStartTime": null - }, - { - "source": "import json\n\n# Print the response\nrequest_id = repo_response['request_id']\nresult = repo_response['result']\n\nprint(f\"Request ID: {request_id}\")\nprint(\"Company Info:\")\nprint(json.dumps(result, indent=2))", - "outputs": [ - { - "name": "stdout", - "text": [ - "Request ID: 87a7ea1a-9dd4-4d1d-ae76-b419ead57c11\n", - "Company Info:\n", - "{\n", - " \"company_name\": \"ScrapeGraphAI\",\n", - " \"description\": \"ScrapeGraphAI is a powerful AI scraping API designed for efficient web data extraction to power LLM applications and AI agents. It enables developers to perform intelligent AI scraping and extract structured information from websites using advanced AI techniques.\",\n", - " \"founders\": [\n", - " {\n", - " \"name\": \"\",\n", - " \"role\": \"Founder & Technical Lead\",\n", - " \"linkedin\": \"https://www.linkedin.com/in/perinim/\"\n", - " },\n", - " {\n", - " \"name\": \"Marco Vinciguerra\",\n", - " \"role\": \"Founder & Software Engineer\",\n", - " \"linkedin\": \"https://www.linkedin.com/in/marco-vinciguerra-7ba365242/\"\n", - " },\n", - " {\n", - " \"name\": \"Lorenzo Padoan\",\n", - " \"role\": \"Founder & Product Engineer\",\n", - " \"linkedin\": \"https://www.linkedin.com/in/lorenzo-padoan-4521a2154/\"\n", - " }\n", - " ],\n", - " \"logo\": \"https://scrapegraphai.com/images/scrapegraphai_logo.svg\",\n", - " \"partners\": [\n", - " \"PostHog\",\n", - " \"AWS\",\n", - " \"NVIDIA\",\n", - " \"JinaAI\",\n", - " \"DagWorks\",\n", - " \"Browserbase\",\n", - " \"ScrapeDo\",\n", - " \"HackerNews\",\n", - " \"Medium\",\n", - " \"HackADay\"\n", - " ],\n", - " \"pricing_plans\": [\n", - " {\n", - " \"tier\": \"Free\",\n", - " \"price\": \"$0\",\n", - " \"credits\": 100\n", - " },\n", - " {\n", - " \"tier\": \"Starter\",\n", - " \"price\": \"$20/month\",\n", - " \"credits\": 5000\n", - " },\n", - " {\n", - " \"tier\": \"Growth\",\n", - " \"price\": \"$100/month\",\n", - " \"credits\": 40000\n", - " },\n", - " {\n", - " \"tier\": \"Pro\",\n", - " \"price\": \"$500/month\",\n", - " \"credits\": 250000\n", - " }\n", - " ],\n", - " \"contact_emails\": [\n", - " \"contact@scrapegraphai.com\"\n", - " ],\n", - " \"social_links\": {\n", - " \"linkedin\": \"https://www.linkedin.com/company/101881123\",\n", - " \"twitter\": \"https://x.com/scrapegraphai\",\n", - " \"github\": \"https://github.com/ScrapeGraphAI/Scrapegraph-ai\"\n", - " },\n", - " \"privacy_policy\": \"https://scrapegraphai.com/privacy\",\n", - " \"terms_of_service\": \"https://scrapegraphai.com/terms\",\n", - " \"api_status\": \"https://scrapegraphapi.openstatus.dev\"\n", - "}\n" - ], - "output_type": "stream" - } + "text/html": [ + "\n", + "
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\n" ], - "metadata": { - "id": "F1VfD8B4LPc8", - "colab": { - "base_uri": "https://localhost:8080/" - }, - "outputId": "8d7b2955-1569-4b3a-8ffe-014a8442dd12", - "executionInfo": { - "user": { - "userId": "10474323355016263615", - "displayName": "ScrapeGraphAI" - }, - "status": "ok", - "elapsed": 339, - "user_tz": -60, - "timestamp": 1734532533318 - } - }, - "cell_type": "code", - "isExecuting": false, - "stdinRequest": null, - "executionState": "idle", - "execution_count": null, - "executionEndTime": null, - "executionStartTime": null - }, - { - "source": "### 💾 Save the output to a `CSV` file", - "outputs": [], - "metadata": { - "id": "2as65QLypwdb" - }, - "cell_type": "markdown", - "isExecuting": false, - "stdinRequest": null, - "executionState": "idle", - "execution_count": null, - "executionEndTime": null, - "executionStartTime": null - }, - { - "source": "Let's create a pandas dataframe and show the tables with the extracted content", - "outputs": [], - "metadata": { - "id": "HTLVFgbVLLBR" - }, - "cell_type": "markdown", - "isExecuting": false, - "stdinRequest": null, - "executionState": "idle", - "execution_count": null, - "executionEndTime": null, - "executionStartTime": null - }, - { - "source": "import pandas as pd\n\n# Flatten and save main company information\ncompany_info = {\n \"company_name\": result[\"company_name\"],\n \"description\": result[\"description\"],\n \"logo\": result[\"logo\"],\n \"contact_emails\": \", \".join(result[\"contact_emails\"]),\n \"privacy_policy\": result[\"privacy_policy\"],\n \"terms_of_service\": result[\"terms_of_service\"],\n \"api_status\": result[\"api_status\"],\n \"linkedin\": result[\"social_links\"][\"linkedin\"],\n \"twitter\": result[\"social_links\"][\"twitter\"],\n \"github\": result[\"social_links\"].get(\"github\", None)\n}\n\n# Creating dataframes\ndf_company = pd.DataFrame([company_info])\ndf_founders = pd.DataFrame(result[\"founders\"])\ndf_pricing = pd.DataFrame(result[\"pricing_plans\"])\ndf_partners = pd.DataFrame({\"partner\": result[\"partners\"]})", - "outputs": [], - "metadata": { - "id": "1lS9O1KOI51y" - }, - "cell_type": "code", - "isExecuting": false, - "stdinRequest": null, - "executionState": "idle", - "execution_count": null, - "executionEndTime": null, - "executionStartTime": null - }, - { - "source": "Show flattened tables", - "outputs": [], - "metadata": { - "id": "JJI9huPkOY9t" - }, - "cell_type": "markdown", - "isExecuting": false, - "stdinRequest": null, - "executionState": "idle", - "execution_count": null, - "executionEndTime": null, - "executionStartTime": null + "text/plain": [ + " company_name description \\\n", + "0 ScrapeGraphAI ScrapeGraphAI is a powerful AI scraping API de... \n", + "\n", + " logo \\\n", + "0 https://scrapegraphai.com/images/scrapegraphai... \n", + "\n", + " contact_emails privacy_policy \\\n", + "0 contact@scrapegraphai.com https://scrapegraphai.com/privacy \n", + "\n", + " terms_of_service api_status \\\n", + "0 https://scrapegraphai.com/terms https://scrapegraphapi.openstatus.dev \n", + "\n", + " linkedin twitter \\\n", + "0 https://www.linkedin.com/company/101881123 https://x.com/scrapegraphai \n", + "\n", + " github \n", + "0 https://github.com/ScrapeGraphAI/Scrapegraph-ai " + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df_company" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 143 }, - { - "source": "df_company", - "outputs": [ - { - "data": { - "text/html": [ - "\n", - "
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\n \"ScrapeGraph\n

\n\n\n- 🚀 **Get your API Key:** [ScrapeGraphAI Dashboard](https://dashboard.scrapegraphai.com) \n- 🐙 **GitHub:** [ScrapeGraphAI GitHub](https://github.com/scrapegraphai) \n- 💼 **LinkedIn:** [ScrapeGraphAI LinkedIn](https://www.linkedin.com/company/scrapegraphai/) \n- 🐦 **Twitter:** [ScrapeGraphAI Twitter](https://twitter.com/scrapegraphai) \n- 💬 **Discord:** [Join our Discord Community](https://discord.gg/uJN7TYcpNa) \n\nMade with ❤️ by the [ScrapeGraphAI](https://scrapegraphai.com) Team \n", - "outputs": [], - "metadata": { - "id": "dUi2LtMLRDDR" + "data": { + "application/vnd.google.colaboratory.intrinsic+json": { + "summary": "{\n \"name\": \"df_partners\",\n \"rows\": 10,\n \"fields\": [\n {\n \"column\": \"partner\",\n \"properties\": {\n \"dtype\": \"string\",\n \"num_unique_values\": 10,\n \"samples\": [\n \"Medium\",\n \"AWS\",\n \"Browserbase\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n }\n ]\n}", + "type": "dataframe", + "variable_name": "df_partners" }, - "cell_type": "markdown", - "isExecuting": false, - "stdinRequest": null, - "executionState": "idle", - "execution_count": null, - "executionEndTime": null, - "executionStartTime": null + "text/html": [ + "\n", + "
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partner
0PostHog
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2NVIDIA
3JinaAI
4DagWorks
5Browserbase
6ScrapeDo
7HackerNews
8Medium
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\n", + " \"ScrapeGraph\n", + "

\n", + "\n", + "\n", + "- \ud83d\ude80 **Get your API Key:** [ScrapeGraphAI Dashboard](https://dashboard.scrapegraphai.com) \n", + "- \ud83d\udc19 **GitHub:** [ScrapeGraphAI GitHub](https://github.com/scrapegraphai) \n", + "- \ud83d\udcbc **LinkedIn:** [ScrapeGraphAI LinkedIn](https://www.linkedin.com/company/scrapegraphai/) \n", + "- \ud83d\udc26 **Twitter:** [ScrapeGraphAI Twitter](https://twitter.com/scrapegraphai) \n", + "- \ud83d\udcac **Discord:** [Join our Discord Community](https://discord.gg/uJN7TYcpNa) \n", + "\n", + "Made with \u2764\ufe0f by the [ScrapeGraphAI](https://scrapegraphai.com) Team \n" + ] + } + ], + "metadata": { + "colab": { + "authorship_tag": "ABX9TyO57uo4LpNqAm10rmE0B6Q5", + "collapsed_sections": [ + "IzsyDXEWwPVt" + ], + "provenance": [] + }, + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" }, - "nbformat": 4, - "nbformat_minor": 0 -} \ No newline at end of file + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.12.11" + } + }, + "nbformat": 4, + "nbformat_minor": 4 +}