doowonee/ccc.ipynb

## ccc.ipynb
{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Commision Calculator for China\n",
    "\n",
    "중국에서 요구한 최소한의 커미션 지급을 위한 데이터 분석 노트"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "\"\"\" 공통으로 사용 하는 상수 \"\"\"\n",
    "# 거래 금액 증가 단위\n",
    "MONEY_UNIT = 1000\n",
    "# 최대 거래 금액\n",
    "MAX_MONEY = 1000000\n",
    "# 1000 위안 ~ 1000,000 위안 까지 가격 단위로 숫자를 선별하여 리스트로 만든다.\n",
    "PRICES = [p for p in range(MONEY_UNIT, MAX_MONEY + MONEY_UNIT, MONEY_UNIT)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "def requested_price(price):\n",
    "    \"\"\" 중국에서 요청한 커미션 퍼센트 책정 방법 \n",
    "        5만 미만 8 프로 \n",
    "        5만 ~ 20만 5 프로 \n",
    "        20만 이상 3 프로\n",
    "    \"\"\"\n",
    "    if price < 50000:\n",
    "        percentage = 0.08\n",
    "    elif price >= 50000 and price < 200000:\n",
    "        percentage = 0.05\n",
    "    else:\n",
    "        percentage = 0.03    \n",
    "    return price, percentage * 100,  price * percentage"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "def our_price(price):\n",
    "    \"\"\" 우리가 제시할 커미션 퍼센트 책정 구간\n",
    "        8만 미만 6 프로 \n",
    "        8만 ~ 30만 4 프로 \n",
    "        30만 이상 3 프로\n",
    "    \"\"\"\n",
    "    if price < 80000:\n",
    "        percentage = 0.06\n",
    "    elif price >= 80000 and price < 300000:\n",
    "        percentage = 0.04\n",
    "    else:\n",
    "        percentage = 0.03\n",
    "    return price, percentage * 100,  price * percentage"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "def our_price_5stage(price):\n",
    "    \"\"\" 5단계로 세분화한 우리가 제시할 커미션 퍼센트 책정 구간\n",
    "        8만 미만 8 프로 \n",
    "        8만 ~ 15만 6 프로 \n",
    "        15만 ~ 30만 4 프로 \n",
    "        30만 ~ 50만 3 프로 \n",
    "        50만 이상 2 프로\n",
    "    \"\"\"\n",
    "    if price < 80000:\n",
    "        percentage = 0.08\n",
    "    elif price >= 80000 and price < 150000:\n",
    "        percentage = 0.06\n",
    "    elif price >= 150000 and price < 300000:\n",
    "        percentage = 0.04       \n",
    "    elif price >= 300000 and price < 500000:\n",
    "        percentage = 0.03\n",
    "    else:\n",
    "        percentage = 0.02\n",
    "    return price, percentage * 100,  price * percentage"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "\n",
    "df_requested = pd.DataFrame([ requested_price(p) for p in PRICES], columns= ['거래 가격', '퍼센트', '지급할 커미션'])\n",
    "df_our = pd.DataFrame([ our_price(p) for p in PRICES], columns= ['거래 가격', '퍼센트', '지급할 커미션'])\n",
    "df_5stage = pd.DataFrame([ our_price_5stage(p) for p in PRICES], columns= ['거래 가격', '퍼센트', '지급할 커미션'])\n",
    "    \n",
    "# 요청한 방식의 데이터 프레임\n",
    "dataframes = [\n",
    "    (df_requested, 'suggested'),\n",
    "    #(df_our, '우리 1차'),\n",
    "    (df_5stage, 'divided to 5 stages'),\n",
    "]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
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ixowZu13PZZddxuDBg2nevDlfffUVV155Ja+//jpXX301l1xyCRdeeCFPPfUUwPbfxfduvfVWpkyZwieffALAiy++yIQJE/j0009Zs2YNvXr1olOnThx88ME/2rYTTjiBEAK/+c1v+M1vfvOj6XfeeSdjxoyhQYMGZGZmsnXrVm655RYmTpzIgw8+CMCGDRt44403KF++PB9++CE33ngjL7zwAo8++ihVq1bls88+Y8aMGXTv3p1NmzaxYMEC7rrrLl5++WWqVKnC4MGD+ctf/sIVV1zBSy+9xIQJEwghkJmZ+aNtBcjOzv7RPvJTsrKy9noZ6ae4X6mwuU+pKLhfqTBEUcRHS3IZOnMbKeUhqW5UYverIi1YURTlAekhhBrAyyGEdnuYfVdHnqI9jO9pmZ1zPAU8BdCqVauoV69eP5g+c+ZMUlNTC35IrgDlCvnXklyBCt+vfxcmTpzIeeedR7169QA4++yzqVixIqmpqSQnJ1OpUiVq1qzJKaecwtixYzn//PN59913GTx4MKmpqYQQqFq16m7XE0Jg3LhxPyg4W7duJTU1lXHjxvHKK6+QnJzM5Zdfzh133PF/v4uEqlWrkpSUtH18woQJXHTRRdSoUYMaNWrQq1cvZs6cSYsWLX6w3Oeff06DBg1YuXIlJ554Iunp6fTs2fMH8/To0YMBAwbQp08fzj33XFJTU0lJSaFChQrb3y8zM5NLL72Ub775hhACOTk5pKam8tVXXzFw4EBSU1M56qij6NChA1WqVGHatGnMnj2b3r0LziTdtm0b3bp1o2HDhlSuXJnf//73nHbaaZx++ulUqFDhR38eKSkpdOzY8Wf90X5v7Nix7LxfSfvL/UqFzX1KRcH9SvtrY3YON4+ZyuvTl3FM8zo81DeNGRO+LLH7VZEWrO9FUZQZQhhLwbVTK0II9RNHr+oDKxOzLQEa77BYI+C7xHijXYzvuMySEEJ5oDqwdr/CnnLffi2+r37OmY19+/bl8ccfp1atWhx55JE/KkK7W09+fj41atRg0qRJ+/zeOyo4U/OnNWjQAICDDjqIc845h/Hjx/+oYD355JOMGzeON954g/T09F1mvO222zj22GN5+eWXWbBgwfa/bLvLEUURJ554IsOGDfvRtPHjx/P+++8zfPhwhgwZwgcffPCztkWSJEmFb8qSTAYMzWBp5hYGndyKq35xGElJgRlxB9sPRXkXwbqJI1eEECoBJwCzgFeBixOzXQy8knj9KtAvcWfAZhTczGJ84nTCjSGEronrq3690zLfr+t84IPo5376L0Z69uzJyy+/zJYtW9i4cSOvvfbaLufr1asXEydO5Omnn6Zv374/ez3VqlWjWbNmjBo1CigoIJMnTwage/fuDB8+HCg49W9XUlNTf3AqXc+ePRkxYgR5eXmsWrWKjz/+mC5duvxgmU2bNm1fZtOmTbz77ru0a/fjA5jz5s3jqKOO4u6776ZOnTosXrz4R++3fv16GjYsOCv02Wef3T5+zDHHMHLkSABmzJjB1KlTAejatSufffYZc+fOBQqu1ZozZw5ZWVmsX7+eU089lYcffni3hVOSJElFK4oi/vnJt5z3xOfk5uUz4oquXH1sc5KSSuTtFH6gKI9g1QeeS1yHlQSMjKLo9RDCF8DIEMJlwCLgAoAoiqaHEEYCM4Bc4OrEKYYAVwHPApWAtxJfAM8A/w4hzKXgyFW/ItyeItOpUyf69u1Leno6TZo0oUePHrucr1y5cpx++uk8++yzPPfccz+avqf1vPjii1x11VX86U9/Iicnh379+pGWlsYjjzzChRdeyCOPPMJ55523y/etXbs23bt3p127dpxyyincf//9fPHFF6SlpRFC4P777//R9VcrVqzgnHPOASA3N5cLL7xw+yl7Oxo0aBDffPMNURRx/PHHk5aWxiGHHMJ9991Heno6N998MzfeeCMXX3wxDz30EMcdd9z2ZX/3u99x8cUX06FDBzp27EiHDh2oXr06devW5dlnn6V///5s3boVgD/96U+kpqZy1llnkZ2dTRRFDB48+Cf+ZCRJklTY1m7axg2jJvPBrJWc1KYe95/fgRqVf3zZRkkVSuABn/3SqlWraMe760HBNViHH354TIm0r/Ly8sjJySElJYV58+Zx/PHHM2fOnF1eV7U39mV/8PxzFQX3KxU29ykVBfcr7Y1x365h4PBJrN20jf857XB+3a3JLi9XKY77VQhhQhRFP/lw1wNyDZZUFDZv3syxxx5LTk4OURTxxBNP7He5kiRJUuHLy48Y8sFcHnl/Dk1qV2HMxUfTrmH1uGMVCQuWSqzU1NS9eoCxJEmSDrwVG7IZODyDL79dyzkdG3LP2e2oWrH01pDSu2V7KYqivb6bnkqfsnbKrCRJUlH6cPZKrh85mS3b8njggjTO69Sw1H/mtmBR8NyjNWvWULt27VL/B67di6KINWvWkJKSEncUSZKkEm1bbj5/e2cWT38yn9YHpzLkwk40P6hq3LEOCAsW0KhRI5YsWcKqVavijqKYpaSk0KhRo5+eUZIkSbu0aM1mrhmeweTFmVzU9RBuPa0NKcnl4o51wFiwgOTkZJo1axZ3DEmSJKlEe2PKMv740hQI8MQvO3FK+/pxRzrgLFiSJEmS9kt2Th53vTaDYeMX0fGQGjzaryONa1WOO1YsLFiSJEmS9tk3KzYyYGgGs1ds5Le/OIzrT2pJcrmkuGPFxoIlSZIkaa9FUcSor5dw+6vTqFKhPM9d2oVftKwbd6zYWbAkSZIk7ZWN2Tn8z8vTeHXydxx9WG0e7pvOQdW8EzNYsCRJkiTthalL1jNg2EQWr93MDSe15KpezSmX5KOOvmfBkiRJkvSToijiX58t4L63ZlKnakVGXNmNI5vWijtWsWPBkiRJkrRH6zZtY9Doybw3cyUnHF6Pv53fgZpVKsQdq1iyYEmSJEnarfHz13LtsAzWbtrGHWe04ZKjmxKCpwTujgVLkiRJ0o/k5Uc8/uFcHn5vDofUqsyY3x1Nu4bV445V7FmwJEmSJP3Ayg3ZXDdiEp/PW8NZ6Q2495z2VK1odfg5/C1JkiRJ2m7s7JVcP3Iym7flcf/5HbigcyNPCdwLFixJkiRJ5OTl88A7s/nHx9/S+uBUhlzYkeYHpcYdq8SxYEmSJEll3OK1m7lmWAaTFmfyy6MO4bbT25CSXC7uWCWSBUuSJEkqw96cuoybXpoCETx+YSdO61A/7kglmgVLkiRJKoOyc/K45/UZvDhuEWmNazCkf0ca16ocd6wSz4IlSZIklTFzV25kwNAMZi3fyJU9D+WGk1uRXC4p7lilggVLkiRJKiOiKGLUhCXc8cp0KlUox//+5kiObXVQ3LFKFQuWJEmSVAZkbc3l1pen8p9J39Ht0No83C+detVS4o5V6liwJEmSpFJu2tL1DBg6kUVrN/OHE1ty9bHNKZfks62KggVLkiRJKqWiKOLZzxfwlzdnUatKBYZf0Y0uzWrFHatUs2BJkiRJpVDm5m0MGj2F/85YwfGtD+KBC9KoWaVC3LFKPQuWJEmSVMp8tWAtA4dlsCprK7ed3oZLuzclBE8JPBAsWJIkSVIpkZcf8cTYuQx+7xsa1azES1cdTYdGNeKOVaZYsCRJkqRSYOWGbH4/chKfzV3DmWkNuPecdqSmJMcdq8yxYEmSJEkl3EdzVnH9yElkbc3lr+e1p88RjT0lMCYWLEmSJKmEysnL58F35/DkR/NoWa8qQy/vSst6qXHHKtMsWJIkSVIJtHjtZq4dnkHGokz6dzmE209vQ6UK5eKOVeZZsCRJkqQS5u1py7hx9BSiCIZc2JHTOzSIO5ISLFiSJElSCZGdk8e9b8zk318uJK1RdR7r34lDaleOO5Z2YMGSJEmSSoC5K7MYMHQis5Zv5Iqeh3LDSa2oUD4p7ljaiQVLkiRJKuZGT1jCbf+ZRqUK5fjfS47k2NYHxR1Ju2HBkiRJkoqprK253P6faYzJWErXQ2vxcN+OHFw9Je5Y2gMLliRJklQMTVu6nmuGZbBwzSauO6EF1xzXgnJJPtuquLNgSZIkScVIFEU89/kC/vzmLGpWSWbo5V3pemjtuGPpZ7JgSZIkScVE5uZt3Dh6Cu/OWMFxrQ/igQvSqFWlQtyxtBcsWJIkSVIxMGHhWq4dNomVG7O59bTDueyYZoTgKYEljQVLkiRJilF+fsQTH83jof/OoWGNSoz+7dGkNa4RdyztIwuWJEmSFJOVG7P5w4jJfDp3Nad3qM+fz21PtZTkuGNpP1iwJEmSpBh88s0qfj9iEllbc7nv3Pb0PbKxpwSWAhYsSZIk6QDKyctn8H/n8MRH82hetypDL+9Ky3qpccdSIbFgSZIkSQfIknWbGTh8EhMWrqPfkY2544y2VKpQLu5YKkQWLEmSJOkAeHvacm4cPZn8CB7t35Ez0xrEHUlFwIIlSZIkFaHsnDz+/OZMnv9iIR0aVeex/h1pUrtK3LFURCxYkiRJUhH5dlUWA4ZmMGPZBi47phk39W5NhfJJccdSEbJgSZIkSUVgzMQl3PqfaVQsn8QzFx/B8YfXizuSDgALliRJklSINm3N5bZXpjFm4lK6NKvFI/3SqV+9UtyxdIBYsCRJkqRCMuO7DQwYNpH5qzcx8PgWXHt8C8ol+WyrssSCJUmSJO2nKIr495cL+dMbM6lRKZmh/68r3Q6rHXcsxcCCJUmSJO2H9ZtzuPGlybwzfQW9WtXlwQvSqF21YtyxFBMLliRJkrSPJixcx7XDMlixIZv/OfVwLjumGUmeElimWbAkSZKkvZSfH/Hkx/N48N05NKiRwuirjia9cY24Y6kYsGBJkiRJe2HVxq38YeQkPvlmNae1r89fzmtPtZTkuGOpmLBgSZIkST/Tp9+s5roRk9iYncOfz2lP/y6NCcFTAvV/LFiSJEnST8jNy2fwe3P4+9h5HFa3Ki/8vy60Prha3LFUDFmwJEmSpD1YmrmFgcMy+HrhOvoe0Zg7zmxD5Qp+jNauuWdIkiRJu/HO9OXcOHoKuXn5PNIvnbPSG8YdScWcBUuSJEnaydbcPP7y5iye/XwB7RpWY0j/TjStUyXuWCoBLFiSJEnSDr5dlcU1wzKY/t0GLu3ejJtOaUXF8uXijqUSwoIlSZIkJbycsYRbX55Gcvkk/vnrIzihTb24I6mEsWBJkiSpzNu0NZfbX5nOSxOX0KVpLR7pn0796pXijqUSyIIlSZKkMm3msg1cPXQi81dv4trjmnPt8S0oXy4p7lgqoSxYkiRJKpOiKOKFcYu45/UZVK+UzIuXHcXRzevEHUslnAVLkiRJZc76LTn88aUpvDVtOT1b1uWhPmnUqVox7lgqBSxYkiRJKlMmLlrHNUMzWLEhm5tPac3lPQ4lKSnEHUulhAVLkiRJZUJ+fsRTn3zLA+/M5uDqKYz6bTc6HlIz7lgqZSxYkiRJKvVWZ23lDyMn8/GcVZza/mD+cm4HqldKjjuWSiELliRJkkq1z+au5roRk1i/JYc/nd2OXx51CCF4SqCKhgVLkiRJpVJuXj4Pv/cNj4+dy6F1qvD8pV04vH61uGOplLNgSZIkqdT5LnMLA4dn8NWCdVzQuRF3ndWWyhX86Kui514mSZKkUuW/M1YwaPRkcnLzebhvOmd3bBh3JJUhFixJkiSVCltz87jvrVn872cLaNugGkMu7ESzOlXijqUyxoIlSZKkEm/+6k1cM2wi05Zu4JKjm3Lzqa2pWL5c3LFUBlmwJEmSVKK9Mmkpt4yZSvlySTz96yM4sU29uCOpDLNgSZIkqUTavC2XO1+dzsivl3BEk5o82r8jDWpUijuWyjgLliRJkkqcWcs3MGBoBvNWZXHNcc0ZeHwLypdLijuWZMGSJElSyRFFEUPHL+Lu12ZQrVIyL1x2FN2b14k7lrSdBUuSJEklwvotOdwyZipvTF1GjxZ1eKhPOnVTK8YdS/qBIjuOGkJoHEL4MIQwM4QwPYQwMDF+ZwhhaQhhUuLr1B2WuTmEMDeEMDuEcPIO451DCFMT0x4NIYTEeMUQwojE+LgQQtOi2h5JkiTFJ2PROk579BPenr6cm3q35rnfdLFcqVgqyiNYucD1URRNDCGkAhNCCP9NTBvqfaTpAAAgAElEQVQcRdEDO84cQmgD9APaAg2A90IILaMoygOeAK4AvgTeBHoDbwGXAeuiKGoeQugH/BXoW4TbJEmSpAMoPz/i6U++5W/vzKZetRRGXtmNzk1qxh1L2q0iK1hRFC0DliVebwwhzAT29Bjts4DhURRtBeaHEOYCXUIIC4BqURR9ARBCeB44m4KCdRZwZ2L50cCQEEKIoigqgk2SJEnSAbQmayvXj5rM2Nmr6N32YP56XgeqV06OO5a0RwfkGqzEqXsdgXFAd2BACOHXwNcUHOVaR0H5+nKHxZYkxnISr3ceJ/F9MUAURbkhhPVAbWD1Tu9/BQVHwKhbty5jx44tvI2TgKysLPcrFTr3KxU29ykVhaLar2auyeMfU7aSlRPx6zYVOLbRBjLGf1bo76PiqST/e1XkBSuEUBV4CbguiqINIYQngHuAKPH9QeBSIOxi8WgP4/zEtP8biKKngKcAWrVqFfXq1Wsvt0Las7Fjx+J+pcLmfqXC5j6lolDY+1VuXj6PfjCXx77+hmZ1qjC0fyfaNKhWaOtXyVCS/70q0oIVQkimoFy9GEXRGIAoilbsMP1p4PXEj0uAxjss3gj4LjHeaBfjOy6zJIRQHqgOrC38LZEkSVJRW7Z+CwOHTWL8grWc37kRd53ZlioVvem1SpaivItgAJ4BZkZR9NAO4/V3mO0cYFri9atAv8SdAZsBLYDxiWu5NoYQuibW+WvglR2WuTjx+nzgA6+/kiRJKnnen7mCUx/5hGnfrWdw3zQeuCDNcqUSqSj32u7Ar4CpIYRJibFbgP4hhHQKTuVbAFwJEEXR9BDCSGAGBXcgvDpxB0GAq4BngUoU3NzircT4M8C/EzfEWEvBXQglSZJUQmzLzee+t2bxr8/m06Z+NYZc2JFD61aNO5a0z4ryLoKfsutrpN7cwzL3AvfuYvxroN0uxrOBC/YjpiRJkmKyYPUmrhmWwdSl67m4WxNuPvVwUpLLxR1L2i8ed5UkSdIB98qkpfzPy9MolxT4x686c3Lbg+OOJBUKC5YkSZIOmC3b8rjz1emM+HoxnZvU5NH+HWlYo1LcsaRCY8GSJEnSATF7+UYGDJ3I3FVZXH3sYVx3QkuSyxXZPdekWFiwJEmSVKSiKGLY+MXc9dp0UlOSef7SLvRoUTfuWFKRsGBJkiSpyGzIzuHmMVN5Y8oyerSow0N90qmbWjHuWFKRsWBJkiSpSExenMk1wzJYmrmFG3u34rc9DyMpaVc3mZZKDwuWJEmSClV+fsQzn87nr2/Pol61FEZe2ZXOTWrFHUs6ICxYkiRJKjRrsrZyw6jJfDh7FSe3rcdfz+tAjcoV4o4lHTAWLEmSJBWKL+at4boRGazblMPdZ7XlV12bEIKnBKpssWBJkiRpv+TlRzz6/jc89sE3NK1dhX9dciRtG1SPO5YUCwuWJEmS9tm67HwufPpLxs1fy7kdG3LP2e2oUtGPmCq73PslSZK0Tz6YtYLbPttCftjGgxekcV7nRnFHkmJnwZIkSdJe2Zabz/1vz+Kfn86ncWoSz15xDIfVrRp3LKlYsGBJkiTpZ1u0ZjPXDJvI5CXr+XW3JhxTdZXlStpBUtwBJEmSVDK8Nvk7Tnv0E+av3sSTF3Xi7rPaUaGcdwmUduQRLEmSJO3Rlm153P36dIaNX0ynQ2rwSL+ONK5VOe5YUrFkwZIkSdJuzVmxkQFDJzJnRRZX9TqMP5zYkuRyngQl7Y4FS5IkST8SRREjvlrMna9Np2rF8jx/aRd6tqwbdyyp2LNgSZIk6Qc2Zudw85ipvD5lGcc0r8NDfdM4KDUl7lhSiWDBkiRJ0nZTlmQyYGgGSzO3MOjkVlz1i8NISvJGFtLPZcGSJEkSURTxzKfz+evbs6hbtSIjrujKEU1rxR1LKnEsWJIkSWXc2k3bGDRqMu/PWsmJberxt/M7UKNyhbhjSSWSBUuSJKkMG/ftGgYOn8TaTdu484w2XHx0U0LwlEBpX1mwJEmSyqC8/IghH8zlkffn0KR2FcZcfDTtGlaPO5ZU4lmwJEmSypgVG7IZODyDL79dyzkdG3LP2e2oWtGPhVJh8G+SJElSGfLh7JVcP3IyW7bl8bfzO3B+50aeEigVIguWJElSGbAtN5+/vTOLpz+ZT+uDUxlyYSeaH1Q17lhSqWPBkiRJKuUWrdnMNcMzmLw4k4u6HsKtp7UhJblc3LGkUsmCJUmSVIq9MWUZf3xpCgR44pedOKV9/bgjSaWaBUuSJKkUys7J4+7XZzB03CLSG9fgsf4daVyrctyxpFLPgiVJklTKfLNiIwOGZjB7xUZ++4vDuP6kliSXS4o7llQmWLAkSZJKiSiKGPX1Em5/dRpVKpTnuUu78IuWdeOOJZUpFixJkqRSYGN2Drf+ZxqvTPqOow+rzcN90zmoWkrcsaQyx4IlSZJUwk1dsp4BwyayeO1mbjipJVf1ak65JJ9tJcXBgiVJklRCRVHEvz5bwH1vzaRO1YqMuLIbRzatFXcsqUyzYEmSJJVA6zZtY9Doybw3cyUnHF6Pv53fgZpVKsQdSyrzLFiSJEklzPj5axk4PIPVWVu5/fQ2/KZ7U0LwlECpOLBgSZIklRB5+RGPfziXh9+bwyG1KjPmqu60b1Q97liSdmDBkiRJKgFWbsjmuhGT+HzeGs5Kb8C957SnakU/yknFjX8rJUmSirmxs1dy/cjJbN6Wx/3nd+CCzo08JVAqpixYkiRJxVROXj4PvDubf3z0La3qpfL4LzvS/KDUuGNJ2gMLliRJUjG0eO1mrhmWwaTFmfzyqEO47fQ2pCSXizuWpJ9gwZIkSSpm3py6jJtemgIRPH5hJ07rUD/uSJJ+JguWJElSMZGdk8c9r8/gxXGLSGtcgyH9O9K4VuW4Y0naCxYsSZKkYmDuyo0MGJrBrOUbuaLnodxwUisqlE+KO5akvWTBkiRJilEURYyasIQ7XplOpQrl+N/fHMmxrQ6KO5akfWTBkiRJiknW1lxufXkq/5n0Hd0Orc3D/dKpVy0l7liS9oMFS5IkKQbTlq5nwNCJLFq7mT+c2JKrj21OuSSfbSWVdBYsSZKkAyiKIp79fAF/eXMWtapUYNjlXTnq0Npxx5JUSCxYkiRJB0jm5m0MGj2F/85YwfGtD+JvF6RRq0qFuGNJKkQWLEmSpAPgqwVrGTgsg1VZW7nt9DZc2r0pIXhKoFTaWLAkSZKKUF5+xBNj5zL4vW9oVLMSL111NB0a1Yg7lqQiYsGSJEkqIis3ZPP7kZP4bO4azkhrwJ/PaUdqSnLcsSQVIQuWJElSEfhoziquHzmJrK25/PW89vQ5orGnBEplgAVLkiSpEOXk5fPgu3N48qN5tKxXlaGXd6VlvdS4Y0k6QCxYkiRJhWTx2s1cOzyDjEWZ9O9yCLef3oZKFcrFHUvSAWTBkiRJKgRvT1vGjaOnEEXwWP+OnJHWIO5IkmJgwZIkSdoP2Tl53PvGTP795ULSGlXnsf6dOKR25bhjSYqJBUuSJGkfzVuVxYChGcxctoHLezRj0MmtqVA+Ke5YkmJkwZIkSdoHoycs4fZXplGxfBL/uuQIjmtdL+5IkooBC5YkSdJeyNqay+3/mcaYjKUc1awWj/TryMHVU+KOJamYsGBJkiT9TNO/W8+AoRksXLOJ605owTXHtaBcks+2kvR/LFiSJEk/IYoinv9iIfe+MZOaVZIZenlXuh5aO+5YkoohC5YkSdIeZG7exo2jp/DujBUc26ouD1yQRu2qFeOOJamYsmBJkiTtxoSFa7l22CRWbszm1tMO59LuzUjylEBJe2DBkiRJ2kl+fsQTH83jof/OoWGNSoz+7dGkNa4RdyxJJYAFS5IkaQcrN2bzhxGT+XTuak7vUJ8/n9ueainJcceSVEJYsCRJkhI++WYVvx8xiaytudx3bnv6HtmYEDwlUNLPZ8GSJEllXk5ePoP/O4cnPppH87pVGXp5V1rWS407lqQSyIIlSZLKtCXrNjNw+CQmLFxHvyMbc8cZbalUoVzcsSSVUBYsSZJUZr09bTk3jp5MfgSP9u/ImWkN4o4kqYSzYEmSpDInOyePP785k+e/WEiHRtV5rH9HmtSuEncsSaWABUuSJJUp367KYsDQDGYs28BlxzTjpt6tqVA+Ke5YkkoJC5YkSSozxkxcwq3/mUbF8kk8c/ERHH94vbgjSSplLFiSJKnU27Q1l9temcaYiUvp0qwWj/RLp371SnHHklQKWbAkSVKpNuO7DQwYNpH5qzcx8PgWXHNcc8qX85RASUXDgiVJkkqlKIp44cuF3PPGTGpUSmbo/+tKt8Nqxx1LUilnwZIkSaXO+s053PTSFN6evpxerery4AVp1K5aMe5YksoAC5YkSSpVJixcx7XDMlixIZtbTm3N/zvmUJKSQtyxJJURFixJklQq5OdHPPnxPB58dw4NaqQw+qqjSW9cI+5YksoYC5YkSSrxVm3cyh9GTuKTb1ZzWvv6/OW89lRLSY47lqQyyIIlSZJKtE+/Wc3vR05iw5Yc/nxOe/p3aUwInhIoKR4WLEmSVCLl5uUz+L05/H3sPA6rW5V/X9aF1gdXizuWpDKuyB4CEUJoHEL4MIQwM4QwPYQwMDFeK4Tw3xDCN4nvNXdY5uYQwtwQwuwQwsk7jHcOIUxNTHs0JP63VAihYghhRGJ8XAihaVFtjyRJKj6WZm6h31Nf8viH8+jTuTGvDuhuuZJULBTlU/ZygeujKDoc6ApcHUJoA/wReD+KohbA+4mfSUzrB7QFegN/DyGUS6zrCeAKoEXiq3di/DJgXRRFzYHBwF+LcHskSVIx8O705Zz6yCfMXLaBR/ql89fzO1C5giflSKVGfh5EeXGn2GdFVrCiKFoWRdHExOuNwEygIXAW8FxitueAsxOvzwKGR1G0NYqi+cBcoEsIoT5QLYqiL6IoioDnd1rm+3WNBo4PnnQtSVKptDU3jztfnc4V/55A41qVeOPaHpyV3jDuWJIKS14uTBoGj3fhoJWfxp1mnx2Q/92TOHWvIzAOqBdF0TIoKGEhhIMSszUEvtxhsSWJsZzE653Hv19mcWJduSGE9UBtYPVO738FBUfAqFu3LmPHji2kLZMKZGVluV+p0LlfqbCV5H1q+aZ8npi8lYUb8jmpSXkuaJXLgmlfsSDuYCrR+5WKh5CfS70VY2mycBSVspeTVaUpG3IrlNj9qsgLVgihKvAScF0URRv2cIBpVxOiPYzvaZkfDkTRU8BTAK1atYp69er1E6mlvTN27Fjcr1TY3K9U2ErqPvVyxhLu+WAayeXL8c9fd+KENvXijqQdlNT9SsVA7laY9CJ8MhjWL4L6afCLh6ja8hSyP/64xO5XRVqwQgjJFJSrF6MoGpMYXhFCqJ84elUfWJkYXwI03mHxRsB3ifFGuxjfcZklIYTyQHVgbZFsjCRJOqA2b8vl9lemM3rCEo5sWpNH+nWkQY1KcceStL9ysiHj3/DpYNiwFBoeAac9CC1OhFJwtU+RFazEtVDPADOjKHpoh0mvAhcD9yW+v7LD+NAQwkNAAwpuZjE+iqK8EMLGEEJXCk4x/DXw2E7r+gI4H/ggcZ2WJEkqwWYu28DVQycyf/UmrjmuOQOPb0H5ckV5by5JRW7bZpjwLHz2CGQth8Zd4czH4LDjSkWx+l5RHsHqDvwKmBpCmJQYu4WCYjUyhHAZsAi4ACCKoukhhJHADAruQHh1FG2/fchVwLNAJeCtxBcUFLh/hxDmUnDkql8Rbo8kSSpiURTxwrhF3PP6DKpXSubFy47i6OZ14o4laX9szYKv/wWfPwqbVkHTHnDe0wXfS1Gx+l6RFawoij5l19dIARy/m2XuBe7dxfjXQLtdjGeTKGiSJKlkW78lhz++NIW3pi2nZ8u6PNQnjTpVK8YdS9K+2roRxj8NXwyBzWvg0F7Q80Zo2j3uZEXKh0ZIkqTYTVy0jmuGZrBiQzY3n9Kay3scSlJS6fs/21KZsCUTxj8FXzwO2ZnQ/ET4xY3QuEvcyQ4IC5YkSYpNfn7EU598ywPvzObg6imM/G03Oh1SM+5YkvbF5rUw7kn48knYuh5angK/GAQNO8ed7ICyYEmSpFisztrKH0ZO5uM5qzil3cHcd14HqldKjjuWpL21aU3BaYDjn4ZtG6H16QVHrOqnxZ0sFhYsSZJ0wH0+dzUDR0xi/ZYc/nR2O3551CHs4VmZkoqjrJXw+WPw1TOQsxnang09B0G9tnEni5UFS5IkHTC5efk88v43DPlwLofWqcLzl3bh8PrV4o4laW9sXA6fPVpwZ8C8rdDuPOhxAxzUOu5kxYIFS5IkHRDfZW5h4PAMvlqwjgs6N+Kus9pSuYIfRaQSY/1S+OxhmPAc5OdChz7Q43qo0yLuZMWK/6pJkqQi998ZKxg0ejI5ufk83Dedszs2jDuSpJ8rcxF8OhgyXoAoH9L6Q48/QK1D405WLFmwJElSkdmam8d9b83ifz9bQNsG1RhyYSea1akSdyxJP8fa+fDpQzBpKBCg40VwzO+hZpO4kxVrFixJklQk5q/exDXDJjJt6QYuObopN5/amorly8UdS9JPWT0XPnkQpoyApPLQ+TdwzHVQvVHcyUoEC5YkSSp0r0xayi1jplK+XBJP/aozJ7U9OO5Ikn7Kqtnw8QMwbTSUqwBHXQlHXwvV6sedrESxYEmSpEKzeVsud746nZFfL+GIJjV5tH9HGtSoFHcsSXuyYjp8/DeY/h9IrgTdroZu10BqvbiTlUgWLEmSVChmLd/AgKEZzFuVxYBjm3PdCS0oXy4p7liSdmfZFPj4fpj5GlSoWnB9VberoUqduJOVaBYsSZK0X6IoYuj4Rdz92gxSU5L596VHcUwLP6BJxdbSiQVHrGa/CRWrQc8boetVULlW3MlKBQuWJEnaZ+u35HDLmKm8MXUZPVrU4aE+6dRNrRh3LEm7svgr+OivMPe/kFIDjv0f6HIFVKoRd7JSxYIlSZL2yaTFmQwYOpFl67O5qXdrrux5KElJIe5Ykna28IuCYvXth1CpFhx/Oxx5OaRUiztZqWTBkiRJeyU/P+Kfn37L/W/Ppl61FEZe2Y3OTWrGHUvSjqIIFnxaUKwWfAKV68CJd8MRl0HFqnGnK9UsWJIk6Wdbk7WV60dNZuzsVfRuezB/Pa8D1Ssnxx1L0veiqOBI1Uf3w6IvoGo9OPnPBc+yqlA57nRlggVLkiT9LJ/PW811wyeRuSWHe85qy0VdmxCCpwRKxUIUwdz3Co5YLfkKUhvAKX+DTr8quPW6DhgLliRJ2qPcvHwe/WAuj33wDc3qVOHZ33ShTQOv3ZCKhSiC2W8V3G79uwyo3hhOewg6XgTlveFMHCxYkiRpt5at38LA4ZMYP38t53VqxN1ntaVKRT8+SLHLz4dZrxcUq+VToUYTOPMx6NAPyleIO12Z5r+QkiRpl96fuYIbRk1ma24+D/VJ49xOjeKOJCk/D2b8Bz5+AFbOgFqHwdlPQPsLoJzXQxYHFixJkvQD23Lzue+tWfzrs/m0qV+NIRd25NC63nVMilVeLkwfU/CA4NVzoE5LOPdpaHsulPMjfXHin4YkSdpu4ZpNDBiawdSl67m4WxNuPvVwUpLLxR1LKrvycmDqqIIjVmvnwUFt4Pz/hTZnQZJ/N4sjC5YkSQLg1cnfccuYqSQFePKizvRud3DckaSyK3cbTBkOnzwI6xbAwe2hz7+h9emQlBR3Ou2BBUuSpDJuy7Y87nx1OiO+XkznJjV5pF86jWr6vBwpFrlbIeMF+HQwrF8MDTpC7/ugZW/wsQglggVLkqQybPbyjQwYOpG5q7K4+tjDuO6EliSX8/+OSwdcTjZMfL6gWG38DhoeAacPhuYnWKxKGAuWJEllUBRFDP9qMXe+Op3UlGSev7QLPVrUjTuWVPZs2wwT/hc+exSylsMh3eDsx+HQYy1WJZQFS5KkMmZDdg43j5nKG1OW0aNFHR7sk8ZBqSlxx5LKlq1Z8PUz8PljsGkVNO0B5/0Tmh5jsSrhLFiSJJUhkxdncs2wDJZmbuHG3q34bc/DSEryw5x0wGRvgK+ehs+HwJa1BUeqfnEjNDk67mQqJBYsSZLKgPz8iLfm5/DSu59Tr1oKI6/sSucmteKOJZUdWzJh3D/gy79Ddia0OAl63giNj4w7mQqZBUuSpFJuTdZWbhg1mQ9nb+OkNvW4//wO1KhcIe5YUtmweS18+QSMexK2boBWp0LPQdCwU9zJVEQsWJIklWJfzFvDdSMyWLcph4sOr8A9v+pM8PoOqehtWg1fDIHxT8O2LDj8jIJiVT8t7mQqYhYsSZJKobz8iEff/4bHPviGprWr8K9LjmTVnAzLlVTUslbC54/CV89AzhZoew70vAHqtY07mQ4QC5YkSaXM8vXZDByewbj5azm3Y0PuObsdVSqWZ+ycuJNJpdiGZQXF6ut/Qd42aHd+QbGq2yruZDrALFiSJJUiH8xawQ2jppCdk8eDF6RxXudGcUeSSrf1S+DThwseEpyfC2n9oMf1UPuwuJMpJhYsSZJKgW25+dz/9iz++el8Dq9fjSEXduSwulXjjiWVXusWwqeDIeMFIIL0C+GYP0CtZnEnU8wsWJIklXCL1mzmmmETmbxkPb/u1oRbTj2clORycceSSqe138InD8HkYUCATr+CY34PNQ6JO5mKCQuWJEkl2GuTv+OWMVMJAZ68qBO929WPO5JUOq2eC588AFNGQlJ5OOJS6D4Qqnsarn7IgiVJUgm0ZVsed78+nWHjF9PxkBo82q8jjWtVjjuWVPqsnFVQrKa9BOUqwlG/he7XQurBcSdTMWXBkiSphJmzYiMDhk5kzoosrup1GH84sSXJ5ZLijiWVLsunwcd/gxmvQHJl6DYAjr4Gqh4UdzIVcxYsSZJKiCiKGPHVYu58bTpVK5bn+Uu70LNl3bhjSaXLssnw0f0w63WokAo9/gBdr4YqteNOphLCgiVJUgmwMTuHW16exmuTv6N789oM7pvOQakpcceSSo+lE+Cjv8Gct6BidfjFTQWnA1auFXcylTAWLEmSirkpSzIZMDSDpZlbGHRyK377i8MolxTijiWVDovHw0d/hbnvQcr/Z+++w6Oq1jYO//ak0UvovffeklAEEbsogtJUiiLYxYYez+dRj13BguWoKB0BERSwd3qH0HsndAikkjazvj92UFTKJJnJniTPfV1eSXZ2ecEB5sla612loOszEDEUCpdyujLJoxSwREREApQxhrGL9vD6D1spVyyM6cOiaFdTP00X8Yl9S+xgtXseFCkD3Z6DdndDoRJOVyZ5nAKWiIhIAIpNSmPEF+v4desxrmpcgZG3NqdUkVCnyxLJ24yBvQvtNVZ7F0LRcnDVi3bL9TBtzC2+oYAlIiISYJbvPsnw6WuJTUrj+RsbM6hDTSxLUwJFss0Y2PWbHawOLINiFeHa16D1IAjV9gbiWwpYIiIiAcLtMbz/205G/7qd6uFF+PL+DjStUtLpskTyLmNgx8/2VMCDq6BEFbh+FLQaACFqEiP+oYAlIiISAI7GpzB8ejTLdsdyc8vKvNSzGcXC9M+0SLYYA9u+s0esDq+FktWh+9vQ8nYIDnO6Osnn9De3iIiIw37fdozHZ6zjTJqbkbc259Y2VTUlUCQ7PB7Y+rXdbv3oBihdE256H1r0g6AQp6uTAkIBS0RExCFpGR5G/bSNMQt207Bicd6/rRV1yxd3uiyRvMfjhk1fwYJRcHwLhNeBmz+CZr0hSG93JXfpFSciIuKA/SeTeWh6NOsOnOaOqOo8c0NjCoUEOV2WSN7izoCNs2DBSDi5A8o2gF6fQtNe4NKfJ3GGVwHLsqyOwPNAjcxrLMAYY2r7rzQREZH86dv1h/nXrPVgwYe3t+a6ZpWcLkkkb3Gnw/oZsHAUxO6G8k2g9wRo1ANcLqerkwLO2xGsscCjwGrA7b9yRERE8q+UdDcvfLOZqcv307JaKd7r34pq4WoRLeK1jDRYNw0Wvgmn90HF5tB3CjS4QcFKAoa3ASvOGPO9XysRERHJx3YcTeDBqdFsO5rAPV1q88TVDQgJ0htCEa9kpEL0ZFj0DsQdgMqt4bo3oP41oIYwEmC8DVi/W5Y1EvgSSD170Bizxi9ViYiI5BPGGL5YFcOzczdSNDSYCXe24/IG5Z0uSyRvSD8DaybZwSrhEFSNgO7vQN1uClYSsLwNWJGZH9uec8wAV/i2HBERkfwjISWdZ2ZvZM7aQ3SoU4Z3+rakfAltbipySWlJsGo8LHkXEo9C9Q7Q80Oo1UXBSgKeVwHLGNPV34WIiIjkJxti4nho2hr2xybz+FX1ub9rXYJcemMoclGpibDyU1jyHiSfgFqd4dZxULOT05WJeM3bLoIlgeeAzpmH5gMvGGPi/FWYiIhIXmSMYdzivbz2/RbKFgtj+rD2RNQKd7oskcCWEg8rxsDSD+BMLNS5Ajo/CTXaO12ZSJZ5O0VwHLAR6JP59QBgPNDLH0WJiIjkRaeS0hgxcx2/bDnGlY0qMPLW5pQuGup0WSKB68wpWP4xLPsfpMRBvWugy5NQte2lrxUJUN4GrDrGmFvO+fq/lmWt9UdBIiIiedGKPbEMnx7NicRUnu3emDs71sTSWhGR80uOtUPV8o8hNd5us95lBFRu5XRlIjnmbcA6Y1lWJ2PMIvhj4+Ez/itLREQkb3B7DP/7fSdv/7Kd6uFF+PK+jjSrWtLpskQCU9IJe33Vyk8hLREa3QSdR0Cl5k5XJuIz3gas+4CJmWuxLCAWGOyvokRERPKCY/EpPPL5WpbsOkmPlpV56eamFC8U4nRZIoEn4ajdEXDVOLv1etNecNkTUKGx05WJ+Jy3XQTXAi0syyqR+XW8X6sSEREJcPO2HePxGetISsvgjVua07ttVU0JFPm7+MOweDSsHg/uNGjW2w5W5eo7XZmI31w0YGkkxDEAACAASURBVFmWdYcxZoplWY/97TgAxpi3/FibiIhIwEl3exj10zY+nr+bBhWK8/ntUdQtX9zpskQCy+kDsPgdWDMZPBnQoj9c9hiUqeN0ZSJ+d6kRrKKZH/Uvh4iIFHgHYpN5aFo0aw+c5rbI6jzbvTGFQoKcLkskcJzaB4vegujP7K9b3gadHoXwWs7WJZKLLhqwjDEfZ378b+6UIyIiEpi+23CYp2atBwMf3NaaG5pXcrokkcBxcpcdrNZNB8sFbQZBx0egVDWnKxPJdd5uNPwG8BJ258AfgBbAI8aYKX6sTURExHEp6W5e/GYzny3fT4tqpXi/fyuqhRdxuiyRwHBiBw23vA3zF0BQKLS7GzoOhxKVna5MxDHedhG82hjzpGVZPYEYoDfwO6CAJSIi+dbOY4k8OHUNW48kMKxzbZ64ugGhwS6nyxJx3rEtsGAUbJxFOVcIRN0PHR6C4hWdrkzEcd4GrLM9Z68HphljYtUpSURE8itjDDNXx/DsnE0UDg1i/J3t6NqgvNNliTjvyEZY8AZsngshRaDjwywzrel49c1OVyYSMLwNWF9blrUVe4rg/ZZllQNS/FeWiIiIMxJTM3jmqw3MXnuI9rXL8E6/llQoUcjpskScdWgtLBgJW7+B0OJw2eP2qFXRMqTPm+d0dSIBxdt9sP5lWdbrQLwxxm1ZVhLQw7+liYiI5K6NB+N4aFo0+04m8dhV9Xmga12CXJqxIQVYzGp7xGr7DxBWErr8C6LuhcKlna5MJGB52+SiN/BDZrh6BmiN3fTiiD+LExERyQ3GGCYs2cur320lvGgo04ZGEVm7jNNliThn/3KY/zrs+tUOU1c8AxHDoFBJpysTCXjeThH8jzHmC8uyOgHXAKOAD4FIv1UmIiKSC04npzFi5np+3nyUbg3LM7J3C8KLhjpdlogz9i62g9We+VCkDFz5vN0ZMExboop4y9uA5c78eAPwoTFmjmVZz/unJBERkdyxcm8sw6dFczwxlf90b8xdHWuiJk5S4BgDexbA/Ddg3yIoWh6ufgna3gWhRZ2uTiTP8TZgHbQs62PgSuB1y7LCAPWpFRGRPMntMXw4bydv/7KDqqULM+u+DjSvWsrpskRylzH2FMD5b8CB5VC8Elz7ur1JcEhhp6sTybO8DVh9gGuBUcaY05ZlVQJG+K8sERER/ziWkMKjn69l8c6T3NiiMq/0bErxQiGXvlAkvzAGdvxkTwU8uBpKVIXrR0GrARCijpkiOXXRgGVZVgljTDxQCJiXeSwcSAVW+b06ERERH5q//TiPz1hLYmoGr/VqRt921TQlUAoOjwe2fWd3BTy8DkpVhxtHQ4vbIFjrDkV85VIjWFOB7sBqwADn/itkgNp+qktERMRn0t0e3vxpOx/N30X9CsWYOjSK+hW0aF8KCI8Htsy197E6uhFK14IeH0DzvhCk0VsRX7towDLGdM/8WCt3yhEREfGtmFPJPDwtmjX7T9M/ojrPdm9M4dAgp8sS8T+PGzZ9ZQer41uhTF3o+TE0vRWCvF0lIiJZ5fWfLsuymgM1z73GGPOlH2oSERHxiR82HubJmesxBt7r34obW1R2uiQR/3NnwMaZsGAUnNwB5RrCLWOhSU9w6YcLIv7m7UbD44DmwCbAk3nYAApYIiIScFLS3bz87RYmL9tH86oleb9/a6qXKeJ0WSL+5U6H9Z/bwerUHqjQFHpPhEY3gUvNn0Vyi7cjWFHGmMZ+rURERMQHdh1P5MGp0Ww5HM/Qy2ox4pqGhAbrzaXkYxlpsG4qLHwTTu+HSi2g72fQ4HoFKxEHeBuwllqW1dgYs9mv1YiIiOTAzNUxPDtnI2HBLsYNbssVDSs4XZKI/6SnQPRkWPQOxMdAlTZ2u/V6V4O6Y4o4xtuANRE7ZB3BbtFuAcYY0/xCF2ROK+wOHDPGNM089jwwFDieedq/jTHfZX7vaWAI4AYeNsb8mHm8DTABKAx8Bww3xpjMzY4nAW2Ak0BfY8xeL389IiKSjySlZvCf2Rv5MvogkbXCGd2vFRVLaj8fyafSz8DqibD4HUg4DNUi4abRUKebgpVIAPA2YI0DBgAb+HMN1qVMAN7HDkHnetsYM+rcA5ZlNQb6AU2AysAvlmXVN8a4gQ+BYcAy7IB1LfA9dhg7ZYypa1lWP+B1oK+XtYmISD6x6VAcD06NZt/JJB65sh4PXVGPIJfeZEo+lJYEq8bB4nch6RjU6GR3BazVWcFKJIB4G7D2G2PmZuXGxpgFlmXV9PL0HsB0Y0wqsMeyrJ1AhGVZe4ESxpilAJZlTQJuxg5YPYDnM6+fCbxvWZZljDFZqVNERPIm4/Hww/ezGbEkiKJFizJ1aBRRtcs4XZaI76UmwMpPYcl7kHwSanWBLuOhZienKxOR8/A2YG21LGsq8DX2FEEg223aH7QsayCwCnjcGHMKqII9QnVWTOax9MzP/36czI8HMuvIsCwrDigDnPj7Ay3LGoY9Cka5cuWYN29eNsoWubDExES9rsTn9Lq6sNTkBEquGc11GSvZUvxB6ra+kpT9G5i33+nKApteU3lLUEYSVQ5+S7UDcwnJSOBkeGv2NRhBfMlGsDcD9s5zukRAryvxj7z8uvI2YBXGDlZXn3MsO23aPwRezLz2ReBN4C7sNV1/Zy5ynEt8768HjRkDjAFo0KCBufzyy7NUtMilzJs3D72uxNf0ujq/rSt+ptS8RylvToAFj3Sri6tdV6fLyhP0msojzpyCZR/Bqg8hJQ7qXwudn6RM1TYE4hitXlfiD3n5deVVwDLG3OmLhxljjp793LKsT4BvMr+MAaqdc2pV4FDm8arnOX7uNTGWZQUDJYFYX9QpIiKBx+N2s3zKf2i3+0OOusqx76pPqfXzEFxeLw0WCXDJsbD0A1j+MaQlQMPu0HkEVG7pdGUikgXebjRcFXgP6Ig9SrQIu5tfzEUv/Od9KhljDmd+2RPYmPn5XGCqZVlvYTe5qAesMMa4LctKsCwrClgODMys4+w1g4ClwK3Ab1p/JSKSP504coDD4wfSPnUNq0t0pd6QsZQI9sDPgFHAkjwu8TgsfQ9WfArpydD4JjtYVWzmdGUikg3eThEcD0wFemd+fUfmsasudIFlWdOAy4GylmXFAM8Bl1uW1RI7pO0F7gEwxmyyLGsGsBnIAB7I7CAIcB9/tmn/PvM/gLHA5MyGGLHYXQhFRCSf2bDgKyr99gh1TTLLmz9PRM/hWC4XJJ20T9DP1iSvSjhiN65YORYyUqDpLdD5CSjfyOnKRCQHvA1Y5Ywx48/5eoJlWY9c7AJjTP/zHB57kfNfBl4+z/FVQNPzHE/hz8AnIiL5THpaKqsmjCDy4CT2B1Ul4dZZRDZu++cJZ9tSawRL8pr4Q7B4NKyeAO40aNYHLnscytV3ujIR8QFvA9YJy7LuAKZlft0fe3NfERERnzu8bxtxUwbTPn0zK8K70+zujyhctPhfT7Jc9kcFLMkrTh+wNwdeM8l+3bboB50egzJ1nK5MRHzI24B1F/amwW9jT+9bAvik8YWIiMi5on+aQp0lT1LceFgVMYqIG4ae/0QFLMkrTu2FhW/B2qn2161uh06PQumaTlYlIn7ibcB6ERiUuWcVlmWFA6Owg5eIiEiOpZxJYt3Yh4g8MYsdQfUofNtE2tZpcuEL/ghY7gufI+Kkk7vsYLVuGriCoM1g6DgcSlW75KUiknd5G7Canw1XAMaYWMuyWvmpJhERKWAO7FhH2vTBRLp3s6xCP1rfNZrQsEIXv0gjWBKojm+HhaNgwxcQFAoRw6Djw1CistOViUgu8DZguSzLKv23ESxvrxUREbmglXP+R5M1z5NqhbL2so+J6uZlU1hXkP1RAUsCxbEtsGAkbPwSQgpD1P3Q4WEoXsHpykQkF3kbkt4ElliWNRN7DVYfztPxT0RExFtJCafZ/Ok9tIv7gc1hzSgzcCItq2Zhsb9GsCRQHNkA89+ALXMhtBh0egTaPwhFyzpdmYg4wKuAZYyZZFnWKuAKwAJ6GWM2+7UyERHJt3ZtWEbIV3fRxn2IpdWH0m7gKwSHhGbtJn8ELO2DJQ45FA3zR8K2byGshL05cNT9UCTc6cpExEFeT/PLDFQKVSIikm3G42HFFyNpuXkk8VYxNl89hfYdu2fvZhrBEqfErLJHrHb8CIVKwuVPQ+Q9ULi005WJSADQOioREckVcbHH2TX2TiKTFrKucDuq3TWRpuWrZP+G2mhYctv+ZTD/ddj1mx2mrvgPRAy1Q5aISCYFLBER8butK3+h5Lf30szEsqzeI0T0fxZXUFDOb2y5FLDE//YusoPVngVQpCxc+V9oNwTCil/6WhEpcBSwRETEbzxuN8s/e452uz7gmKscu2+cRVSbrr57gAKW+IsxsGe+PRVw32IoVgGufhna3gmhRZ2uTkQCmAKWiIj4xYkjBzg0YRDtU1azpngX6tw9nsqlyvj2IQpY4mvGwM5f7RGrmBVQvBJc9wa0Hmi3XhcRuQQFLBER8bmNC+dQ8deHqW+SWN70WSJueRTL5fL9gxSwxFeMge0/2sHq0BooURVueBNa3gEhl9j0WkTkHApYIiLiMxnpaayc8CSRMRM4EFSVhFtmENkk0n8PtFzgcfvv/pL/eTx2m/X5b8CR9VCqBtz4LrToD8FZ3DpARAQFLBER8ZEj+3dwavJA2qdvZkX4DTQd8iFFivm5u5oVpH2wJHs8Htgyx97H6tgmCK8NPf4HzftAUIjT1YlIHqaAJSIiORb90xRqL3mS4sbNqnYjieg+LHcerCmCklUeN2z8EhaOguNboWx96PUJNOkFQXpbJCI5p79JREQk21JTklk79iEij89kZ1AdCvWfRNu6TXOvAMtSwBLvuDNgwxd2sDq5E8o1glvHQeObweWDLQNERDIpYImISLYc2LmB1GmDiHTvYln5vrS66x3CChXJ3SI0giWX4k6HddPtYHVqL1RoCn0mQcMbwR+NV0SkwFPAEhGRLFs59yMar36OdCuY6E4fEXVlf2cKUcCSC8lIhbVTYeFbELcfKrWAflOh/nUKViLiVwpYIiLiteTEODZ9eg/tTn/PltAmlB44iVbV6jpXkAKW/F16CkRPhkVvQ/xBqNLWbrde7yp7SqmIiJ8pYImIiFd2b1xO0Jd30cZ9kKXV7qLdoNcJDnG4jbUClpyVlgxrJsKidyDxCFSLgpvegzpXKFiJSK5SwBIRkYsyHg/LZ75Jq02vk2AVZfNVk2jf6Sany7IpYElaEqwcC0veg6RjUPMyuOUT+6OClYg4QAFLREQuKO7UCXZ+eidRSQtYX7gtVe6cSNMKVZ0u60+WS/tgFVSpCbDiE1j6PiSfhNqXQ+cJULOjw4WJSEGngCUiIue1bdVvFP/2Hpp7TrKs7nAibnsOV1CAtbPWCFbBkxIHy8fAsg/gzCmoexV0eRKqRThdmYgIoIAlIiJ/43G7WT71v7Td+T7HXWXYdeMXRLXt5nRZ5+dygXE7XYXkhuRYWP4RLPsIUuPsboBdRkCVNk5XJiLyFwpYIiLyh5NHY4gZP5j2KStZU6wzde4eT+XSZZ0u68I0gpX/JZ20R6uWj4G0BGjY3R6xqtTC6cpERM5LAUtERADYuGguFX55mIYmkeVNniHi1sexAn2/IAWs/CvxmN24YuVYSE+GJjdD5xFQoYnTlYmIXJQClohIAZeRnsbKiU8ReWA8B4KqkNDrcyKbRjpdlncUsPKfhCOw+F1YNQ7cqdD0FrjsCSjf0OnKRES8ooAlIlKAHTmwi9hJA2mfvpGVpa+jyd0fU6RYSafL8p4CVv4RdxAWj4bVE8CTAc37wGWPQ9l6TlcmIpIlClgiIgVU9C/TqLXoCWqYDFa1eY12N93ndElZp4CV953eb28OHD3Z/n/Zoj9c9hiE13a6MhGRbFHAEhEpYFJTkokeN5yoYzPYGVSH0H4TaFuvudNlZY/2wcq7YvfAordg7VTAglZ3QKdHoXQNpysTEckRBSwRkQIkZudGUqYNJMq9i2XletNqyLuEFSridFnZZ1kawcprTu6ChW/CuungCoY2d0KnR6BkAG1gLSKSAwpYIiIFxKpvxtBw5bO4LRfRHT4g6uo7nC4p5zRFMO84vg0WjIKNMyEoFCLvgQ4PQ4lKTlcmIuJTClgiIvlccmIcGz+9l4jT37EltDGlB0yiVfV80jhAASvwHd0MC0bCpq8gpDC0fwDaPwTFKzhdmYiIXyhgiYjkY3s2Lcc1awht3TEsrXon7Qa/QXBIqNNl+Y4VBB6301XI+RxeDwvegC1fQ2gxe31V+wegaABvXC0i4gMKWCIi+ZDxeFgx6y1abHyNRKsom7pNpH3nHk6X5XsawQo8B9fYI1bbvoOwEtD5SYi6D4qEO12ZiEiuUMASEcln4k6fZNendxKZOJ/1hdtQefBEmlWs5nRZ/qGAFTgOrLRHrHb8BIVKQdf/g4hhULiU05WJiOQqBSwRkXxk+5p5FPt6GM09x1la52Eib38eV1CQ02X5jwKW8/Ythfmvw+7foXA4dHsW2g2FQiWcrkxExBEKWCIi+YDH7WbFtBdos+M9Tljh7Oz+Be3bXel0Wf6nfbCcYQzsXWQHq70LoUhZuOoFaDsEwoo5XZ2IiKMUsERE8rjYYwc5MG4QUSkrWVPsMuoMGU+l8HJOl5U7LEtNLnKTMbB7Hsx/A/YvgWIV4JpX7L2sQvPwfmoiIj6kgCUikodtXPwN5X9+iIYmgeWN/01E7xFYLpfTZeUeywUm3ekq8j9jYOcv9ohVzEooXhmuGwmtB9it10VE5A8KWCIieVBGehorJz1N5P6xxARVJr7nVCKbtXe6rNynNVj+ZQxs/8EOVoeioWQ1uOEtaHUHBIc5XZ2ISEBSwBIRyWOOxuzi5KRBtE/bwMpS19L47o8pWryAdmpTwPIPjwe2fmN3BTyyAUrVgJveg+b9IDgf7aMmIuIHClgiInnI2l+nU2PhE9Q0aaxs/SrtetzvdEnOUsDyLY8bNs+x97E6thnC68DNH0Kz3hAU4nR1IiJ5ggKWiEgekJaawpqxw4k6Np1dQbUJ6TeBdvVaOF2W81xBCli+4M6ATV/CglFwYhuUrQ+9PoEmvSBIbxVERLJCf2uKiAS4g7s3kfzZQKLcO1le9hZaDHmPQoWLOl1WYLBcYNRFMNvcGbBhhh2sYndB+cZw63ho3MMOryIikmUKWCIiAWzVt5/QcMV/KG65WNP+fSKvGeB0SYFF+2BlT0YarJ8OC9+EU3uhYjPoMxkadoeC1IVSRMQPFLBERALQmaQEWDqatqm/sTW0MSXvmEDrGg2cLivwWJamCGaB5UmHlWNh0dsQdwAqt4JrX4P619q/lyIikmMKWCIiAWbP5pVYM++kszuGpVUG0XbwSEJC1RL7vNTkwjvpKbBmElHLXoO0k1ClLXR/G+peqWAlIuJjClgi4n/JsfD5AKhzOXQe4XQ1Act4PKz88h2ab3iFRKsoX9f6Dz0GP+50WYFNAevi0pJh9QRYPBoSj3CmZGPC+n4KtbsqWImI+IkCloj4V9JJmNzD3kunSLjT1QSs+NMn2TF2CBEJv7OhUGsq3TmRklt3O11W4FPAOr/URFg1Fpa8B0nHoeZlcMunrN2bweV1ujpdnYhIvqaAJSL+k3gcJvWwu5MVKmnvsSP/sH3NfIp+PZQWnuMsrf0AkXe8iCsoCBSwLk0B669S4mHlJ7DkfTgTa49UdXkSanSwv79vnqPliYgUBApYIuIficdg4o1wah/0nw6/PK922n/jcbtZMe0lWu8YTawVzs4bZtA+4iqny8pbFLBsZ07DijGw9ANIOQ31robOT0K1dk5XJiJS4ChgiYjvJRyxw1VcDNw+A2p1ht9eBE+G05UFjFPHD7N/3ECizqwgumhHag8ZT8UyFZwuK+8p6AErORaWfQjLP4LUeGhwvb3OsUprpysTESmwFLBExLfiD8GE7nbIun0m1OxoH3cFa4pgpk1LvqPcTw/QyMSzvNG/iOjzFJb2HsoeK6hg7oOVdBKWvm+PWqUlQqMb7WBVqYXTlYmIFHgKWCLiO6cP2CNXSSdgwJdQPerP71lBBX4Ey52RwYqJTxOx/xMOuSqxv+cUIlt0dLqsvM2yClZwTzwGS96FleMgPRma9ITOT0CFJk5XJiIimRSwRMQ3Tu2Did3ttSADvvrn2g9XUIGeynXs4B6OTxxA+7QNrCx1NY2GjKFYidJOl5X3FZQpgvGH7WC1ajy4U6HprXawKqfNp0VEAo0ClojkXOwee+QqNR4GzoYqbf55jisI0tNyv7YAsO63GVRf8Di1TCorW71Cu5sfcLqk/CO/B6y4g7D4HVg90R4BbtEPLnscytRxujIREbkABSwRyZmTu+xwlZ4MA+dC5ZbnP88VXOCmCKalprBm3CNEHZ3GbldNgvtNpF39C/z+SPbk14B1ej8sehuip9i/vpa3QafHILyW05WJiMglKGCJSPad2GlPC8xIhUFfQ8VmFz7XCipQa2UO7t5C0tSBRGVsZ3nZXrQY8j6FChd1uqz8J78FrNjdsPAtWDcNsKD1AOj0KJSq7nRlIiLiJQUsEcme49vskSuPGwZ/c+lF9gWoi+Cqb8fSYMX/UdxyEd3+XSKvGeR0SflXfglYJ3bCwjdh/ef2n5W2d0HH4VCyqtOViYhIFilgiUjWHdtihyssGPwtlG946Wtcrny/0fCZpAQ2jL2PiNiv2RbSkOJ3TKJVTTUh8CvLlbfbtB/bCgtHwcZZEBQGkfdCx4eheEWnKxMRkWxSwBKRrDmyESbdBK4Qe1pgufreXZfP12Dt3bIavhhMhGc/SysNpO2dowgJDXO6rPwvr45gHd0EC0bCptkQUgTaPwgdHoJi5Z2uTEREckgBS0S8d3gdTOoBwYXtaYFZ6WSWT9dgGY+HlV+9S7P1L3PGKsT6y8fR/vJbnC6r4LCsvBWwDq+D+W/A1m8gtDhc9hhEPQBFyzhdmYiI+IgCloh451A0TLoZworDoLkQXjtr1+fDEayEuFi2fzqEiITf2FioJRUHTaJ55RpOl1Ww5JX91Q6uhvkjYfv3EFYSujxlTwcsEu50ZSIi4mMKWCJyaTGrYXJPKFwSBn0DpbMRIvLKG2Ev7YheQOG5Q2nhOcayWg/Q7o4XCArWX6m5LtCnCB5YYY9Y7fwZCpWCrs9AxFAoXMrpykRExE/0bkBELu7ACphyi/2T9kFfZ79dtCsoX4xgGY+HZdNeps32t4m1SrPj+ulERV7jdFkFlxWgzVP2LYH5r8PueVCkDHR7DtrdDYVKOF2ZiIj4mQKWiFzYvqXw2a32wvtB30DJKtm/Vz5Yg3Xq+GH2jRtM+zPLiC7agdpDJlCxTAWnyyrYAmkEyxjYu9Aesdq7EIqWg6tetFuuhxVzujoREcklClgicn57F8FnfaBEJTtclaiUs/vl8TVYm5d+T9kf76exiWdZw6eI7PsvLJfL6bIkEAKWMbD7dztY7V8KxSrCta9B60EQWsTZ2kREJNcpYInIP+2eD1P72tMBB30NxX0wSuMKCsypXJfgzshgxaR/E7FvDIddFdnfcw5RLTo5XZacZWWGXGPsjoK5yRjY8bM9FfDgKihRBa4fBa0GQEih3K1FREQChgKWiPzVzl9h+m12l8CBc6FYOd/c1xWc56YIHj+0l6MTBtI+bR2rSl5Jw7s/pViJ0k6XJef6I2B57GmoucEY2Pa9HawOr4WS1aH729DydgjW3mciIgWdApaI/GnHzzD9dihbDwbOgaJlfXdvy5WnAta637+g2vzHqG1SWdHyJdr1eEBTAgPR2VEr4wH8HLA8Htj6td1u/egGKF0TbnofWvSDoBD/PltERPIMBSwRsW37AWYMgHIN7XDl6/158sgarLTUFNaMf4yoI5+xx1WThD7jiWjY2umy5ELOHcHyF48bNs+2g9XxLRBeB27+CJr1hiD9MyoiIn+lfxlEBLZ8A18MhopNYcBXUNgP0+DywBqsg7u3kjR1AFEZ21le5mZaDPmAQkXU/S2gnZ0W6I+A5c6AjbNg4Sg4sR3KNoBen0LTXvbrWURE5DwUsEQKus1zYOZdUKkl3DHLfxuguoLtN8EeDwTgVLvV34+n3rJ/U9yCNZHvEHndnU6XJN7wxwiWOx3Wz7CDVexuKN8Eek+ARj0C8rUrIiKBRQFLpCDbOAtmDYWqbeH2mf7dBPWPkQY3EDhvUlOSE1k39gEiT85mW0gDit8+ida1GjpdlnjLlwErIw3WTYOFb8LpfVCxOfSdAg1uULASERGvKWCJFFTrv4CvhkG1KLh9BoQV9+/zzk6p8rgDpiHAvq1r8My4k0jPXpZWuoO2d75FSKi6wOUpvghYGakQPRkWvQNxB6Bya7juDah/Te63fhcRkTxPAUukIFo7DebcDzU6wm2fQ2hR/z/zj4DlfKML4/GwavZ7NFn3MilWGOu7jKV911udLkuy42zAyk6HyvQzsGaSHawSDkHVCOj+DtTtpmAlIiLZpoAlUtCsmQxzH4LaXaDfNAgtkjvPdWX+deNwo4uEuFi2jR1Ku/hf2BTWgvKDJ9G8ck1Ha5IcOHejYW+lJcPq8bB4NCQeheodoOeHUKuLgpWIiOSYApZIQbJqPHzzCNTpBv0+g5DCufds65wpgg7ZsXYhhecMpZXnCEtr3kvEgJcJCtZfg3naX/bBuoTURFj5KSx9H5KOQ63OcOs4qNnJvzWKiEiBoncWIgXFik/guyeg3tXQZzKEFMrd57ucC1jG42H59Fdove0tTlml2HbddNpHXZvrdYgfeLMGKyUeVoyBpR/AmViocwV0fhJqtM+dGkVEpEBRwBIpCJZ9BD88BfWvgz4TIdiBRg4OrcE6feIIe8YNJip5KWuLtqfmXRNoXLZirtYgfnSxgHXmNCz/GJZ9AClxUO8a6PKk3TVTRETETxSwRPK7Je/DrUpiPwAAIABJREFUT/8HDbvDreMhONSZOhxYg7V52Q+U+eF+mpjTLGswgsh+/8ZSu+385XwBKzkWlv3PDlep8Xab9S4joHIrZ2oUEZECxW8By7KscUB34JgxpmnmsXDgc6AmsBfoY4w5lfm9p4EhgBt42BjzY+bxNsAEoDDwHTDcGGMsywoDJgFtgJNAX2PMXn/9ekTypEXvwC/PQeMecMtYZ9ujW7k3guXOyGDF5P8jYu/HHHFVYN/Nc4hqeZnfnysOODsyajyQdMJeX7XiE0hLhEY3QecRUKm5szWKiEiB4s8f5U4A/r7I4V/Ar8aYesCvmV9jWVZjoB/QJPOa/1nW2XdjfAgMA+pl/nf2nkOAU8aYusDbwOt++5WI5EULRtrhquktcMs45/eeOjuC5ec1WCcO7WPLyG603/cR0SW7UeKRpdRTuMq/zo5g/f4yvNPM/qFC/WvgvqXQd7LClYiI5Dq/BSxjzAIg9m+HewATMz+fCNx8zvHpxphUY8weYCcQYVlWJaCEMWapMcZgj1jdfJ57zQS6WZb664oAMO81+O0laN4Xeo6BoACYDZwLTS7WzZuFa0wn6qRsZmXzF2jzyBcULxnut+dJADj7s7j1n0OjG+GBFXZnwAqNna1LREQKrNx+11XBGHMYwBhz2LKs8pnHqwDLzjkvJvNYeubnfz9+9poDmffKsCwrDigDnPj7Qy3LGoY9Cka5cuWYN2+er349UoB5jOHjdakEuyz6104PjNeVMdTcO5Wa+2ZwuOIVbCvdFxYucroqAMod20YTYMWKZSQXPeTTe7sz0nFHT+bqpDnsohqLm75E8fAazF+wwKfPyW2JiYmB8boKYMHpRalc63aOl+vEmSKVYdMhwLevr/xErynxB72uxB/y8usqAH6sDcD5Rp7MRY5f7Jp/HjRmDDAGoEGDBubyyy/PRokifzXyx60sP7KLxpVKUKyYG8dfV8bAr/+FfTOg9UAqdR9NpUBq6LA5HjZDRJtWULGZz257aO82EqYMoEHGNpaX6UGLIf+jTpFiPru/k+bNm+f86ypP6E5tp0vII/SaEn/Q60r8IS+/rnI7YB21LKtS5uhVJeBY5vEYoNo551XF/hFkTObnfz9+7jUxlmUFAyX555REEb/4et0hPvh9F5Zlj2Q5zhj46Rl7gX/bu+D6NyGQwhX4ZQ3Wmh8mUHfZ0xQ3htWR7xB5/Z0+u7eIiIhIduT2O7C5wKDMzwcBc8453s+yrDDLsmphN7NYkTmdMMGyrKjM9VUD/3bN2XvdCvyWuU5LxK82HoxjxMx1tK1Rmm4NyzsfsIyBH562w1XEMLjhrcALV+DTNVgpZ5JY/t4gWi8bzpHgqsQP+p02ClciIiISAPz2LsyyrGnAUqCBZVkxlmUNAV4DrrIsawdwVebXGGM2ATOAzcAPwAPG/LFZzn3Ap9iNL3YB32ceHwuUsSxrJ/AYmR0JRfzpRGIq90xeTekioXx4RxvCQoJwexwMWB4PfDcCln8IUffDdW9AoPZ6+aOdds4C1r5tazk0sgORJ2ezrOLt1ByxkCq1G/mgQBEREZGc89sUQWNM/wt8q9sFzn8ZePk8x1cBTc9zPAXonZMaRbIiLcPD/VPWcCIxlZn3dqBc8TBcloVjA1geD3z7GKweDx0egqteDNxwBedMEczePljG42HlnA9ouvZFUq0w1nX5hKiufXxYoIiIiEjOBUqTC5GA99+vN7Fibyyj+7WkWdWSAARZ4DYX6sfiRx4PfP0wRE+GTo9Bt2cDO1xBjjYaTow/xdZPhxIR/zObwppTfvBkWlSu6dv6RERERHxAAUvEC1OW7eOz5fu5p0tterSs8sdxl2VlThHMxXDjccOcB2HdVOj8JHT9d+CHK8h2k4ud6xYTNvtuWnkOs7TGPUQMfIWgYP3VJSIiIoFJ71JELmHFnlien7uJyxuU48lrGv7ley5XLk8RdGfA7Ptgwwy4/N9w+VO5+PAcymKTC+PxsPzz12i99U1OWyXYes1U2ne43o8FioiIiOScApbIRcScSua+KaupXqYIo/u1Isj115GioD9GsHKBOwO+GgYbZ8EV/4HOT+TOc30lC00u4k4eZffYwUQlL2FtkShq3DWBJuUq+blAERERkZxTwBK5gDNpboZNWk1ahodPBralZOGQf5zjcp1dg+Vn7nSYNQQ2z4Er/wudHvH/M33NyzVYW5b/ROnv76OJOcWy+o8T2f8ZrEBsOy8iIiJyHgpYIudhjGHEzHVsORLPuEHtqFOu2HnPs7sI+jlgZaTBzDth6zdwzSvQ/gH/Ps9fLrEGy52RwYop/6Hdno846irHvh6ziWrVORcLFBEREck5BSyR8/jfvF18s/4wT13bkK4Ny1/wvCCXn6cIZqTCjEGw/Xt7j6vIe/z3LH9zXXgE68SR/RwZP4D2qWtZXeIK6t89liolw3O5QBEREZGcU8AS+Ztftxxl1E/buKlFZe7tUvui57osC7/lq/QUmDEAdvwEN7wJ7e7204NyydkRLOP5y+EN87+k8u+PUMecYUXz52nXc7imBIqIiEiepYAlco6dxxIYPn0tTSqX4PVbmmNdov25y7Lw+CNhpZ+B6bfBrt/gxtHQZrDvn5HbrMzQlDmClZ6WyqrxT9D+8CT2uqqT0PtLIhq1dbBAERERkZxTwBLJFJecztBJqykU4mLMgLYUDg265DVB/mhykZYM0/rBngXQ4wNodYdv7++Uc9ZgHd63jbjJg2ifsYUV4TfSbMiHFC5a3Nn6RERERHxAAUsEcHsMD02PJuZUMlOHRlG5VGGvrrOnCPowYKUm2uFq32Lo+RG06Oe7ezstcw3WkVVzKHpwBMWMh9URbxJxQx6f+igiIiJyDgUsEeD1H7ayYPtxXu3VjHY1vW+u4HJZeDyXPs8rqQnwWR84sAx6joHmvX1048CQ4rYoBFQ8+CM7gutR5LbJtKndyOmyRERERHxKK8klbzAGdvwMaUk+v/VX0TGMWbCbAVE16B9RPUvXuiwfTRFMiYcpt8CB5XDL2HwXrnYdT6TPpK3s85RnWYX+1BixiCoKVyIiIpIPKWBJ3rB6Anx2K2z9zqe3XR9zmqdmbSCyVjjP3tg4y9cH+WKK4JnTMLknHFwNvcdD0145u1+Ambk6hhvfW8SBeDe7bltE1H0fERpWyOmyRERERPxCUwQl8J3aCz89Y3+eccZntz0Wn8KwSaspVyyM/93empCgrP+8weWyMIbsbzacHAtTesGRjdBnEjS8IXv3CUBJqRn8Z/ZGvow+SGStcEb3a0XFkgpWIiIikr8pYElg83hg9gP2hrsAHrdPbpua4ebeKauJO5POrPs6UKZYWLbu48ps456tTu3JsTCpBxzfCn2nQINrs1VDINp0KI4Hp0az72QSw7vV4+Fu9QhyXbzlvYiIiEh+oCmCEthWfAz7FkHXp+2vM/dQygljDM/O3sSa/acZ1bsFjSuXyPa9zoaGLOerpBMw8UY4vg36Tcs34coYw8Qle+n5wRKS0zL47O4oHr2qvsKViIiIFBgKWBK4TuyAX56HetdA68H2MZPzln0Tl+zl81UHeOiKutzQvFKO7pWtEazEYzChO5zcCbdNh3pX5qiGQBGXnM69U1bz3NxNdKxbhu8evoz2dco4XZaIiIhIrtIUQQlM7gyYfR8EF4Kb3v1jD6WcjmAt2XmCF7/dwpWNKvDolfVzXObZgRmvA1bCEZh4E8QdgNtmQO0uOa4hEKzeF8vD09ZyLCGFZ25oxF0da+HSqJWIiIgUQApYEpiWvAsxK+2W5cUr2hvwQo4C1oHYZO6fuobaZYvydt8WPgkAWZoiGH/InhYYfxhu/wJqdsrx853m8Rg+nL+Lt37eTuVShZh5bwdaVCvldFkiIiIijlHAksBzdBPMexUa94Cmt9jH/hjByl6Ti6TUDIZOWoUx8MnAthQvFOKTUr2eIhgXY4erxGNwxyyo0d4nz3fS8YRUHpuxloU7TnBD80q82qsZJXz0+yoiIiKSVylgSWBxp8NX90JYCbjhLcgMMLgyX6rZCFgej+GxGWvZfjSBiXdFULNsUZ+Ve3YQ7KJd2k/vt9dcnTkFA76CahE+e75TFu44zqOfryMhJZ1XezWjX7tqWJamBIqIiIgoYElgWTAKjqyHvp9B0bJ/HrcyR7BM1gPWe7/t5MdNR3nmhkZcVq+cjwq1nZ0ieMERrFN7YcKNkBoHA2ZD1TY+fX5uS3d7ePvn7Xw4fxd1yxXjs7sjaVCxuNNliYiIiAQMBSwJHIeiYcFIaN4PGnX/6/dcLsDK8hqsHzYe4e1fttOrdRWGdKrlu1ozWX9METxPwordbYertEQYOAcqt/L583NTzKlkhk9fy+p9p+jbthrP39SEwqFBTpclIiIiElAUsCQwpKfYUwOLlYfrXjv/Oa6gLE0R3HoknsdmrKVFtVK80rOZX6awXbDJxcld9rTAjBQY9DVUau7zZ+emHzcdYcQX6/AYGN2vJT1aVnG6JBEREZGApIAlgWHeK3B8K9w+CwqXPv85rmCvR7BOJaUxdNIqioUFM2ZAGwqF+GekJeh8TS6Ob7cbWngyYPA3UKGJX56dG1LS3bz63RYmLt1Hsyolea9/K5+uYRMRERHJbxSwxHn7l8Pid6HN4ItvuusK9mqj4Qy3hwemruFoXCrT74miQolCvqv1b6y/74N1bKsdrsAOV+Ub+e3Z/rb7eCIPTo1m8+F4hnSqxVPXNiQ0WHuTi4iIiFyMApY4Ky0JZt8LparB1S9d/FwryKsRrJe/28KSXScZ1bsFratfYDTMR/4yRfDoJnsTYVewPS2wXM43MnbKl2tieGb2RkKDXYwd1JZujSo4XZKIiIhInqCAJc765b92M4hB30DYJbrRebEGa8aqA4xfvJe7Otbi1jZVfVjo+Z0NWCWS9sCEIRBcyA5XZev6/dn+kJSawbNzNjFrTQwRNcMZ3b8llUoWdrosERERkTxDAUucs3s+rPgYIu+FWpdd+nzXxUewVu87xTNfbaRT3bL8+/qGPiz0wizLoom1h65bX4WipWDw1xBeO1ee7WubD8Xz4LQ17DmRxMPd6vHwFXUJDtKUQBEREZGsUMASZ6TEw5wHILwOdHvOu2tcwRfcB+tIXAr3TllNxZKFeP+2VrkWDMJPbWRq6MukBxUl7M5voXTNXHmuLxljmLJsHy9+u4VShUP47O5IOtQpe+kLRUREROQfFLDEGT/9H8QfhLt+hNAi3l1jnX+KYEq6m3smryI5NYPP7o6kVJFQHxd7AQdWErnoTg6boqyq/xK98mC4iktO56lZ6/lh0xG61C/Hm31aULZYmNNliYiIiORZCliS+7b/BGsmQcdHoFqE99edZ4qgMYanv9zAupg4xgxoQ/0Kl1jH5Sv7l8GUW0kPC6dv4gjuDS2XO8/1odX7TvHwtGiOxqfw7+sbcnen2rhcvt8rTERERKQg0QILyV3JsTD3ISjXCLr+O2vXuoL/MYI1dtEevoo+yGNX1efqJhV9WOhF7F0Mk3tB8Qqs7jqFw5TB/GOn4cDl8Rg+nLeLPh8vxbLgi3vbM6xzHYUrERERER/QCJbkru+fguQTcNvnEJzFqWh/G8Gav/04r3y3heuaVuTBrrnUtW/PApjaF0pWhUFfk37QAmL+utFwADuekMpjM9aycMcJbmhWiVd6NaNk4RCnyxIRERHJNxSwJPdsngsbZsDlT0Plllm//pwmF3tOJPHQ1DXUr1CcUb1b5M7oy67fYVp/u5HFoLlQrDwu6xgAl97+2HmLd57gkc/XEn8mnZd7NuW2iOpYlkatRERERHxJAUtyR+Jx+OZRqNQCLns8e/fIbHKRkJLO0EmrCHJZfDKwLUXDcuFlvPMXmH673fVw0FwoanfZ+2Oj4QAewcpwe3jnlx18MG8ndcoVY/KQCBpWLOF0WSIiIiL5kgKW+J8x8O2jkBoPPb+BoGxOSXMFYTxuHv18LXtOJDF5SATVwr3sQJgT23+Cz2+Hcg1gwBwoWubPkjJHgAJ1iuDB02cYPi2aVftO0adtVZ6/qQlFQvXHXkRERMRf9E5L/G/DF7Dla7jyv1C+Ufbv4wpi77E4fjl6jBd6NMmdvZq2fgczBkKFJjDgKygS/teSAjhg/bTpCCNmrifD7WF0v5b0aFnF6ZJERERE8j0FLPGv+MPw3RNQNQI6PJSjW8We8RATm0i/dtUYEFXDRwVexJav4YvB9rTGO76EwqX+ccofUwT9X43XUjPcvPrdViYs2UvTKiV4r39rapUt6nRZIiIiIgWCApb4jzF2S/aMNOj5kd0FMJs2HYoj+eQZShcK5b89mvi/OcOmr2DmEKjSBu6YCYVKnve0s701PAGyCGvPiSQenLqGTYfiubNjTf51XUPCgrP/+y4iIiIiWaOAJf6zZhLs/BmuewPK1Mn2bU4mpjJs0mpGu4KpX74Iof4ODBtmwpfD7E2Qb/8Cwi68efHZ7oWBMEVwdvRB/u+rDYQEu/hkYFuualzB6ZJEREREChwFLPGPU/vgx39Dzcug3dBs3yYtw8N9n63hRGIqDWqUJtRK9WGR57Huc5h9L1TvYO/VFVbsoqcHwhqs5LQMnp2ziZmrY2hXszSj+7WicqnCzhUkIiIiUoApYInveTww5wH78x4fgMuV7Vu98M0mVuyJZXS/lhTfGAZnkn1U5HlEf2bXXesy6D8dQi+9binIcnYN1pbD8Tw4dQ27TyTx0BV1Gd6tHsFB2f/9FhEREZGcUcAS31v5KexdCDe+C6Wz34zis+X7mLJsP/d0qW13wNscDJ4MHxZ6jtUT4evhUKcr9JsKId6NAJ3Njrk9gmWM4bPl+3nhm82ULBzCZ0Mi6VA3F7oqioiIiMhFKWCJb53cBT8/C3WvgtYDs32bFXtieW7OJrrUL8eT1zS0D1pB9uiYr60cC98+BnWvhL6fQUghry91Yopg3Jl0/jVrPd9vPELn+uV4q08LyhYLy70CREREROSCFLDEdzxu+OpeCA6Fm96FbHb6O3j6DPdNWU318CK827/VH63QcQX5fgRr+Rj4fgTUvxb6TILgrAWV3G7THr3/FA9Ni+ZIXAr/uq4hwy6r/UejDRERERFxngKW+M7S9yFmBfT6BEpUztYtzqS5GTZpFWkZHsYMbEvJwiF/ftPXAWvp/+DHp6HBDdB7gh0Msyi3RrA8HsMnC3cz8sdtVCxZiBn3tqd19dL+faiIiIiIZJkClvjGsS3w20vQsDs0652tWxhjGDFzHZsPxzNuUDvqlv9bBz9XMBi3D4oFFr8LP/8HGt0Et46DoJBLX3Mef+6D5ZuyzudEYiqPz1jH/O3Hua5pRV67pflfg6eIiIiIBAwFLMk5dzp8dY+9X1T3d7I9NfDD+bv4Zv1hnrq2IV0blv/nCZaPRrAWvgm/vgBNekGvMdkOV3DOFEE/bTS8ZOcJhn++lrgz6bx4c1PuiKzu/02WRURERCTbFLAk5xa+BYfXQZ/JUKxctm7x29ajjPxxGze2qMy9XWqf/yRXcM6bXMx/A35/2R5lu/kjCMrZHwF/TRHMcHsY/esO3v99J7XKFmXinRE0rlzCtw8REREREZ9TwJKcObQWFrxhB5bGN2XrFjuPJTB82lqaVC7BG7c0v/AITU7WYBkD816F+a9Di/6Z+3MFZe9e55aUOYLly96Gh+POMHzaWlbsjeXWNlV5oUcTioTqj6qIiIhIXqB3bZJ9Gal218AiZeG6N7J1i7gz6QydtJqwEBcfD2hL4dCLhB5XUPbWYBkDv71oTw1sdYe9P5cPwhWcs9Gwj0awftl8lCdmriM9w8PbfVvQs1VV39xYRERERHKFApZk37xX4fgWuO0LKBKe5cvdHsPD06KJOZXM1KFRVCl1ic19XdnYaNgYe1+uJe9Cm8Fww9t/7g7sA75qcpGa4ea177cyfvFemlQuwXv9W1G7XLFLXygiIiIiAUUBS7LnwEpYPBpaDYD6V2frFm/8sJX524/zSs9mtKvpRUDL6kbDxsCP/wfLPoB2d8N1I30aruCcKYI5CFh7TyTx4LQ1bDwYz+AONXn6+oaEBftmhE1EREREcpcClmRdWjLMvhdKVIFrXsnWLWZHH+TjBbsZEFWD2yKre3dRVtZgGQPfPwUrPobI++DaV7Pd3fBi/pgimM3r56w9yP99tZEgl8WYAW24uklF3xUnIiIiIrlOAUuy7tcX4OROGDgXCmW9s936mNM8NWs9EbXCefbGxt5f6O0aLI8HvnsCVo2F9g/C1S/5JVxB9rsIJqdl8PzcTcxYFUPbGqUZ3b/VpadIioiIiEjAU8CSrNmzEJZ/CBHDoHaXLF9+LCGFYZNWU7ZYGB/e3pqQoCxM2fNmDZbHA988AmsmQsdH4Mrn/Rau4M8Zh1kJWFuPxPPg1Gh2HU/kga51ePTK+gRn5fdBRERERAKWApZ4LzUB5twP4bXt4JLVyzPc/H979x1mVXUuYPxdMwNDzdBBAQEFEUGpElsUSxRLgi3GGMVoEks0RaOJLd4bY4zJNZqb2I1XgyUaFWyxFzQ2FAakCAqIAtJEitSBmbPuH2ejI1KmnDNnyvt7nvOcfdbZa+2P8RPnc6299jn3FLNy3UYeOmcf2rYorNwAIR9S25jBSpXBYz+DSffAARfBQZdltbiCcg8arsAiwRgj9701lysff5eWTRpx9xlfZ/9e7bIanyRJkmqWBZYq7tnLYcU8OONpaNy8Ul1jjFzxyDQmfLScG08eRN8diyp//bwCIKZnqTbfrCJVBo/8BCbfD8MugWEXV378KqjoEsGV6zZy6egp/HvKQr7Rqx3XnTiA9i0rWWBKkiSp1rPAqq/KSmHdMmjRITPjzXweJtwF+/4Mdtq70t1HvfERD4yfx3kH9eSoPXeoWgybnl0Vy4ByBVZZKYw5C6Y+BAddDgdeVLXxqxJSBZ6DNWneCs67r5iFK9fz6+G7cdYBO3+++6AkSZLqF2/8qK+evBBu2T8zY61bDo/9FNrvll52V0mvz17KlU+8y6F9OnDBN3etehybCqzy92GVbYSHf5gurg797xotruCLJYJbmsFKpSK3vTKbE25+nRjhX2ftwznDdrG4kiRJqsecwaqPln0AxaMgptJTK9W9D+mpi2H1YjjpXmjUpFJd5y1by7n3FrNzu+Zc/90B1Ssu8pJ03VRglW6Ah8+A6Y+ndwrc96dVH7uqIW3lQcOfri7hlw++w9j3PuHwvh350/H9KWrWqMbjkyRJUs2ywKqPXv6fL7YzT5VCfjV+sZ/+RPq+pgN/DZ0HVarrmpJSfjxqPGWpyO0jh9CySTULjLBpBqsMSkvgwR/Ae0/C8Gtg73OqN3ZVQwqBEL78HKzXZy/lF/dPYsW6jfxuRF9O2bsbIcubbUiSJKl2sMCqb5bOShdEhUVQshLKNlS9wFqzNL3leac94BsXVqprKhW58MF3eH/xKu46fSjd21VuU4wt2jSDtXEtjD4TZj4DR14LQ39c/bGrE1YIpCKUlqX464uz+NuLM+nRtjl3nr5X1TbzkCRJUp1lgVXfvHwNFDRJFx3/uTY901PJHf+A9NLCf18A61bAyEehoHGluv/txVk8NXURlx/VhwN2bV/562/Jpp0D/zUS5r8NR/8FhpyembGrIT8EPl2f4uS/j+OtOcs4blBnfjeiH80L/ddLkiSpofE3wPpkyQyY8hDs9zMo6pxuK9tQtbGmPgzvPgqH/Bd07Fuprs9MW8T1z7/PcYM688P9e1Tt+luyaQZr/nj49g0w6NTMjV0NeXnwxoIymjVeyZ+/05/jB3fJdUiSJEnKEQus+uTla9KzVfv+HN5/Ot1WWlL5cVYtgn//EjoPSW/LXgnvLVrFBQ9Mon+XIq4+do/M3nvUrB2EPBhxIww4OXPjVlObZo3JT23grjP3Z5f2LXIdjiRJknLIAqu+WDwNpo1J3yvVvC3kJ0v6KjuDFSM89jMoXQ/H3gL5FU+R5Ws28KNRb9O8sIBbTx1Ck0b5lbv29ux2FFw0G5q1yey41fTUzw9g/JuvWlxJkiTJAqveeOlqKPwa7HNu+vOme6YqO4M16d705hHDr4F2vSrcrbQsxXn/LGbxyhLuP2tvOhVVbjv3Cgmh1hVXAEXNGn3+PCxJkiQ1bD5ouD5YMAlmPAF7/+SLAiS/MP1eVokCa8Xc9DOvuu0PQ8+qVAi/f3I6r836lKuO7cegnVpXqq8kSZJUX1hg1Qdjr4EmRV9+FtSmGayyjRUbI5WCR89LP5z4mBu/2LGvAv41fh53vvYhp+/XnROHdK1E4JIkSVL9YoFV1308Ad5/Cvb9KTRt9UX7phmsii4RHH8HzHkZDr8KWnev8OWL5y7n8jFT2a9nWy47sk/F45YkSZLqIQusuu6lP0DT1vD1s7/cXrBpiWAFNrn4dDY8dwXscjAMrvhzpRatXM9Zd0+gU1ETbvjeIAryTSdJkiQ1bP5GXJfNewtmPQf7/RwKW375u/xG6fftzWClyuDRcyGvUfrZUhXcVn39xjLOuns8a0tKuX3kEFo3r9yDiCVJkqT6yF0E67KXfp9+NtReP/7qdxXd5OLNm2DuG3DMLV88nHg7YoxcOnoK78xfya2nDqZ3p5bb7yRJkiQ1AM5g1VUfvgYfjIX9z4fCLTx/6fNt2rexRHDJDHjhd9D7KOh/UoUvfcercxg98WPOP3RXDu/bqXJxS5IkSfWYBVZdNfYP0KIjDDljy99vbwarrBQeORsaN4dv/aXCSwNfef8Trn5yOkf068RPD+5ZhcAlSZKk+ssCqy764GX48D+w/wXQuNmWz9m0ycXWZrBevR4WTISjr4MWHSp02Q+XruG8+4rZtWNLrv1Of/J8uK4kSZL0JRZYdU2M8NLV0HJHGPyDrZ+Xv+k5WFsosBZOhpevgX7HQ99jK3TZVes38qNR48nPC9w+cgjNC719T5IkSdqcBVZdM/tFmPcxKxU9AAAYJElEQVQmHPBLaNRk6+d9XmBttkSwtAQeOQeatYUjr63QJVOpyPkPTGLO0jXc+P1BdG2zlVkzSZIkqYFzGqIu2TR7VdQVBp667XPzt7LJxct/hMVT4Xv3Q7M2Fbrsdc+9z/PTl/Dbb/dl313aVSFwSZIkqWFwBqsumfkcfDweDrjwi3ustiYvL/1sq/IzWPPHp++9GnAK9D6iQpd8YvICbnhpFt8d0pWR+3SrRvCSJElS/ZeTAiuE8GEIYUoIYVIIYXzS1iaE8FwIYWby3rrc+ZeEEGaFEN4LIRxern1wMs6sEMJfQ6jgVnh1UYzp51616gYDvl+xPgWFX8xgbVwHY85O37s1/OoKdZ+2YCUXPTiZwd1ac+UxfanPP15JkiQpE3I5g3VQjHFAjHFI8vli4IUYYy/gheQzIYTdgZOAvsBw4KYQQn7S52bgTKBX8hpeg/HXrPeehIWT4MBfQX6jivXJb/zFDNYLv4NPZ8KIG6BJ0Xa7frq6hDNHTaCoaSNuPmUQhQX52+0jSZIkNXS1aYngCOAfyfE/gGPKtd8fYyyJMc4BZgFDQwg7AF+LMb4RY4zAqHJ96pdUCl76A7TZGfas+AOB0zNYJemHEr95E+z1I9jloO1221iW4px7i1m6uoTbRg6mQ8ttbKYhSZIk6XO52uQiAs+GECJwa4zxNqBjjHEhQIxxYQhh08OZOgNvlus7P2nbmBxv3v4VIYQzSc900b59e8aOHZvBP0r2tfvkdfotnsL03c5n8X9erXC/r28sY/W8mbSYfjo06cj4wkMpq8CffdS7Jbw1t5Qz9yxk2axJjJ1VjeAbiNWrV9e5vFLtZ14p08wpZYN5pWyoy3mVqwJrvxjjgqSIei6EMGMb527pxp+4jfavNqYLuNsAevfuHYcNG1bJcHMoVQY3Xwxte9HnxN/QJ68SS/WmFNF06bj08elP8o1u+263y33j5vLi3CmcdcDOXHJknyoG3fCMHTuWOpVXqhPMK2WaOaVsMK+UDXU5r3KyRDDGuCB5XwKMAYYCi5NlfyTvS5LT5wNdy3XvAixI2rtsob1+mTYGPpkOwy6GyhRXkOw0GGGfc6ECxdVbc5ZxxaNTOXDX9vxq+G5Vi1eSJElqwGq8wAohNA8htNx0DBwGTAUeA05LTjsNeDQ5fgw4KYRQGELoQXozi7eS5YSrQgh7J7sHjizXp35IlcHYa6B9H+h7XOX7N2sL7XrDwZdv99SPV6zjnHsm0LVNM/76vYHk57ljoCRJklRZuVgi2BEYk2z5XQDcF2N8OoTwNvCvEMIPgbnAdwBijNNCCP8C3gVKgXNjjGXJWOcAdwFNgaeSV/0x5aH0zn8njko/16qyTrgz3a9R022etm5DGWeOGs+G0hS3jxxCUdMK7lIoSZIk6UtqvMCKMX4A9N9C+6fAIVvp83vg91toHw/0y3SMtUJZKbx8DXTcA3b7VtXGaN52u6fEGPnVw5N5d+Fn3HHaEHp2aFG1a0mSJEnK2SYX2p7J98OyD+Ck+6o2e1VBt7z8AY+/s4BfDe/Nwbt1zNp1JEmSpIagNj0HS5uUbYSX/wg7DIDeR2btMi/OWMyfnpnBt/rvyDkH7pK160iSJEkNhQVWbTTpXlgxFw66DEJ2NpuYtWQ1P//nJHbf4Wv86fg9CVm6jiRJktSQWGDVNqUl8Mq10HkI9PpmVi6xct1Gzhw1nsYFedw2cghNG1dy+3dJkiRJW2SBVdsUj4KV8+CgS7Mye1WWivzsnxOZt3wtN58ymM6ttr3DoCRJkqSKc5OL2mTjevjPn6Hr3rDLwVm5xJ+emcHL73/C1cfuwdAebbJyDUmSJKmhssCqTSbcBasWwnG3ZWX26pGJH3Pryx9wyt47cfLXd8r4+JIkSVJD5xLB2mLDWnj1Ouj+DehxQMaHnzx/Bb9+eDJDe7ThiqP7Znx8SZIkSc5g1R7j74DVi+GEOzM+9JJV6znr7gm0a1HIzd8fROMC62pJkiQpGyywaoOS1fDqX2DnYdB9v8wOXVrGOfcUs3ztBh4+Z1/atijM6PiSJEmSvmCBVRu8fTusXZp+7lUGxRi54pFpTPhoOTecPJC+OxZldHxJkiRJX+ZasVxb/xm89r/Q85vQdWhGh777zY94YPw8zjuoJ0fvuWNGx5YkSZL0VRZYOZYadyusWw4HXZLRcV+fvZTfPv4uh/bpwAXf3DWjY0uSJEnaMgusHPpsxVJWv3Q9H3cYBp0HZ2zcecvWcu69xfRo15zrvzuAvLzMb/kuSZIk6asssHJo2sPX8DXW8GyHMzI25pqSUn48ajxlqcjtI4fQskmjjI0tSZIkadvc5CJHVn66mH5z7+Gp1F7MK+yVkTFTqciFD77D+4tXcdfpQ+nRrnlGxpUkSZJUMc5g5ci7o/9Ay7COG1InUFJalpExb3hpFk9NXcSlR/bhgF3bZ2RMSZIkSRXnDFYOLP9kIXvO/ycTWg5j2cZebChNVXvMZ6Yt4rrn3ue4gZ354f49MhClJEmSpMpyBisHZoy+iqaU0O7oKygsyGNDWfUKrPcWreKCBybRv0sRVx+3ByG4qYUkSZKUCxZYNWzponn0X/AgxUWH0G23wTQuyKNkY9ULrBVrN/DjUeNpVljAracOoUmj/AxGK0mSJKkyLLBq2Kwxv6eQDXT81hUANK7GDFZpWYrz7pvIopXrueWUwXQqapLJUCVJkiRVkgVWDVq64CMGLHqI4laH07VXfwAKC/KrfA/W1U/O4NVZS7nq2H4M7tY6k6FKkiRJqgILrBo0e8yVFFDGjiOu+LytcX5elXYRfHD8PP7vtTmcvl93ThzSNZNhSpIkSaoiC6wasnj+bAYueYTiNkfSeee+n7c3Lsir9AxW8dzlXDZmKvvu0pbLjuyT6VAlSZIkVZEFVg35cMyVQKRLudkrgMKCPEoqUWAt/mw9Z989gU5FTbjx5EEU5PuPUJIkSaot/O28Biz86D0GLn2cie2+xY7de3/pu8rMYK3fWMaZd09gdUkpt48cQuvmjbMRriRJkqQqssCqAfMevRIIdDvmN1/5rnEFZ7BijFw6ZgrvzFvBdScOoHenllmIVJIkSVJ1WGBl2YIP3mXQp08yscMxdOra8yvfFxbkV2ib9jtencPo4o/5xaG9GN6vUzZClSRJklRNFlhZ9vFjV1JKPjsf+9XZK0juwdq47V0E/zPzE65+cjrD+3biZwf3ykaYkiRJkjLAAiuL5s2awqDlTzOp0/G037H7Fs/Z3oOGP1y6hvPum8iuHVvy5xP7k5cXshStJEmSpOqywMqixY/9lg00ouexl2/1nMJkk4sY41e+W7V+Iz8aNZ4Q4PaRQ2heWJDNcCVJkiRVkwVWlnw0o5hBK5/nnR2+Q7tOW38QcOP8PFIRSlNfLrBSqcj5D0xiztI13HTyILq2aZbtkCVJkiRVkwVWliz995Wso5Dex2/53qtNGhek/xFsvlX79c+/z/PTl/Cbo/qwb892WYtTkiRJUuZYYGXBnGnjGPjZWCZ3OYnW7XfY5rmFWyiw/j15IX97cRbfHdKV0/btns1QJUmSJGWQBVYWLH/yKtbShN2Pu3S75zYuyAf4/FlY0xas5MIH32HQTq248pi+hOCmFpIkSVJdYYGVYbMnv86gNa8wZafvU9S243bPL79E8NPVJZw5agJFTRtxy6mDKUyKL0mSJEl1gwVWhn329O/4jObsftwlFTp/0xLBNRtK+cm9xSxdXcJtIwfToWWTbIYpSZIkKQsssDJo5sRXGLj2daZ1O5Wi1hXbmGLTDNZ/PzaNcXOWcc3xe7Bnl1bZDFOSJElSllhgZdDaZ3/HClrQ77hfV7jPpgJr3JxlnHnAzhw7sEu2wpMkSZKUZRZYGTJj/Av0X/cW03v8gJZFbSrcr0lyn9WBu7bn18N3y1Z4kiRJkmpAQa4DqC82PncVy/gaex53UaX6DdypFZccsRsnDd2J/Dx3DJQkSZLqMmewMuDdN59mj5Ji3u/5Q5q3rNz9U00a5XPWgbtQ1LRRlqKTJEmSVFMssDIgvng1S2lF/2N/metQJEmSJOWQBVY1TX3tcfpueIdZu/6Yps1b5jocSZIkSTlkgVUNMZUif+wfWEIbBhx7fq7DkSRJkpRjFljVMPXVR+mzcRpz+pxNk6bNcx2OJEmSpByzwKqimErR+JVrWEQ7Boz4aa7DkSRJklQLWGBV0eSXH6Z36Qw+6vsTCps0y3U4kiRJkmoBC6wqiKkUzV77IwtCBwZ++9xchyNJkiSplrDAqoJ3XrifXqUzmb/nT2lc2CTX4UiSJEmqJSywKilVVkbLN//E/NCJQUefnetwJEmSJNUiFliV9M7z97BL2RwWDvg5BY0a5zocSZIkSbWIBVYlpMrKaDXuz8zN68zAI3+U63AkSZIk1TIWWJUw8ek76ZH6iCWDfuHslSRJkqSvsMCqoLLSUtpNuJ4P83Zi4PAzch2OJEmSpFrIAquCJj75d7ql5rNsrwvILyjIdTiSJEmSaiELrAoo3biBjhP/lw/yujPgsJG5DkeSJElSLWWBVQET/30rXeMCVu59EXn5+bkOR5IkSVItZYG1HRs3lND5nb8xK38XBhx6cq7DkSRJklSLWWBtx8THb2LHuJg1+/2KkOePS5IkSdLWWTFsw4aS9ew05UbeL9iVPYedmOtwJEmSJNVyFljbMPHRv9GJT1i//8XOXkmSJEnaLquGrVi/bg093r2JGY12Z48Djs11OJIkSZLqAAusrZj0yP/SgWWUHniJs1eSJEmSKsTKYQvWr11Nz/duZVrjPei779G5DkeSJElSHWGBtQWTxlxHO1bAsEudvZIkSZJUYVYPm1m7eiW9Zv6dqYUD6LvvkbkOR5IkSVIdYoG1mcmjr6UtKyk45PJchyJJkiSpjrHAKmf1Z8vp/cGdTG6yF7sN/Wauw5EkSZJUx1hglTN19P/QmlU0OczZK0mSJEmVZ4GV+GzFp/T58C4mNd2bXQcNy3U4kiRJkuogC6zEtNHXUMQaWgy/ItehSJIkSaqjLLCAlcs+od9HdzOx+f707L9frsORJEmSVEdZYAHvjr6almEdRUc4eyVJkiSp6hp8gbVi6SL2nHcfxS0OZOd+X891OJIkSZLqsAZfYE1/+Pc0pYQ2Rzl7JUmSJKl6GnSB9eni+fRf8ADFRYfQvc+QXIcjSZIkqY5r0AXWzNFXUcgGOhz9m1yHIkmSJKkeaLAF1tIFHzFg0UMUtzqMnXYdkOtwJEmSJNUDDbbAmvXIVRRQxg7f8t4rSZIkSZnRIAusxfNnM3DxGIrbHEGXnv1yHY4kSZKkeqJBFlgfPnIVeaToMuK/ch2KJEmSpHqkwRVYqbJSBn7yKMXtjmbH7r1zHY4kSZKkeqTOF1ghhOEhhPdCCLNCCBdv7/y89cuAQLdjvPdKkiRJUmbV6QIrhJAP3AgcAewOfC+EsPu2+jRNrWFi+xF06tqzJkKUJEmS1IDU6QILGArMijF+EGPcANwPjNhWh7XNu9H7pKtrJDhJkiRJDUtBrgOops7AvHKf5wNf3/ykEMKZwJnJx5LW7XeYWgOxqWFpByzNdRCqd8wrZZo5pWwwr5QNtTGvulXkpLpeYIUttMWvNMR4G3AbQAhhfIxxSLYDU8NiXikbzCtlmjmlbDCvlA11Oa/q+hLB+UDXcp+7AAtyFIskSZKkBq6uF1hvA71CCD1CCI2Bk4DHchyTJEmSpAaqTi8RjDGWhhDOA54B8oH/izFO206327IfmRog80rZYF4p08wpZYN5pWyos3kVYvzKLUuSJEmSpCqo60sEJUmSJKnWsMCSJEmSpAxpUAVWCGF4COG9EMKsEMLFuY5HuRVC6BpCeCmEMD2EMC2E8POkvU0I4bkQwszkvXW5Ppck+fNeCOHwcu2DQwhTku/+GkIISXthCOGBpH1cCKF7uT6nJdeYGUI4reb+5KoJIYT8EMLEEMITyWfzStUSQmgVQngohDAj+XtrH/NK1RFCOD/579/UEMI/QwhNzClVRQjh/0IIS0IIU8u15TSXQnoTvHFJ+wMhvSFezYgxNogX6U0wZgM7A42Bd4Ddcx2Xr5zmxA7AoOS4JfA+sDvwJ+DipP1i4I/J8e5J3hQCPZJ8yk++ewvYh/Sz2Z4CjkjafwLckhyfBDyQHLcBPkjeWyfHrXP9M/GV0fy6ALgPeCL5bF75qm5O/QP4UXLcGGhlXvmqRj51BuYATZPP/wJ+YE75qmI+HQAMAqaWa8tpLiU5fVJyfAtwTk39PBrSDNZQYFaM8YMY4wbgfmBEjmNSDsUYF8YYi5PjVcB00v/BGUH6FxmS92OS4xHA/THGkhjjHGAWMDSEsAPwtRjjGzH9b/GozfpsGush4JDk/8YcDjwXY1wWY1wOPAcMz+IfVzUohNAFOAr4e7lm80pVFkL4GulfYO4AiDFuiDGuwLxS9RQATUMIBUAz0s8SNadUaTHGV4BlmzXnLJeS7w5Ozt38+lnXkAqszsC8cp/nJ20SyVTzQGAc0DHGuBDSRRjQITltaznUOTnevP1LfWKMpcBKoO02xlL98BfgV0CqXJt5perYGfgEuDOkl57+PYTQHPNKVRRj/Bi4FpgLLARWxhifxZxS5uQyl9oCK5JzNx8r6xpSgRW20OYe9SKE0AJ4GPhFjPGzbZ26hba4jfaq9lEdFkI4GlgSY5xQ0S5baDOvtLkC0stvbo4xDgTWkF5yszXmlbYpuR9mBOklWjsCzUMIp2yryxbazClVRU3kUk5zrCEVWPOBruU+dyE9Fa4GLITQiHRxdW+McXTSvDiZpiZ5X5K0by2H5ifHm7d/qU+yBKOI9BS6+Vh/7Qd8O4TwIemlyAeHEO7BvFL1zAfmxxjHJZ8fIl1wmVeqqkOBOTHGT2KMG4HRwL6YU8qcXObSUqBVcu7mY2VdQyqw3gZ6JTuKNCZ9g9xjOY5JOZSsz70DmB5jvK7cV48Bm3ahOQ14tFz7SclONj2AXsBbybT3qhDC3smYIzfrs2msE4AXk3XFzwCHhRBaJ/8X8bCkTXVcjPGSGGOXGGN30n/PvBhjPAXzStUQY1wEzAsh9E6aDgHexbxS1c0F9g4hNEty4RDS9yKbU8qUnOVS8t1LybmbXz/7amo3jdrwAo4kvVPcbOCyXMfjK+f5sD/p6eLJwKTkdSTpdbsvADOT9zbl+lyW5M97JDvbJO1DgKnJdzcAIWlvAjxI+gbOt4Cdy/U5I2mfBZye65+Hr6zk2DC+2EXQvPJV3XwaAIxP/s56hPSOWeaVr+rk1G+BGUk+3E16VzdzyldVcumfpO/l20h6VumHuc4l0veuvpW0PwgU1tTPY1PQkiRJkqRqakhLBCVJkiQpqyywJEmSJClDLLAkSZIkKUMssCRJkiQpQyywJEmSJClDLLAkScqCEMIPQgg75joOSVLNssCSJCk7fgBYYElSA2OBJUmqk0II3UMIM0II/wghTA4hPBRCaBZCuCKE8HYIYWoI4baQtksIobhc314hhAnJ8YchhKtDCG+EEMaHEAaFEJ4JIcwOIZxdrs9FybiTQwi/LRfD9BDC7SGEaSGEZ0MITUMIJ5B+YOa9IYRJIYSmNf3zkSTlhgWWJKku6w3cFmPcE/gM+AlwQ4xxrxhjP6ApcHSMcTawMoQwIOl3OnBXuXHmxRj3Af6TtJ8A7A1cCRBCOAzoBQwFBgCDQwgHJH17ATfGGPsCK4DjY4wPAeOB78cYB8QY12XlTy9JqnUssCRJddm8GONryfE9wP7AQSGEcSGEKcDBQN/k+78Dp4cQ8oHvAveVG+ex5H0KMC7GuCrG+AmwPoTQCjgseU0EioHdSBdWAHNijJOS4wlA9wz/GSVJdUhBrgOQJKka4hY+3wQMiTHOCyH8N9Ak+e5h4L+AF4EJMcZPy/UrSd5T5Y43fS4AAvCHGOOt5S8WQui+2fllpGfNJEkNlDNYkqS6bKcQwj7J8feAV5PjpSGEFqSX+gEQY1wPPAPcDNxZyes8A5yRjEkIoXMIocN2+qwCWlbyOpKkOs4ZLElSXTYdOC2EcCswk3Tx1Jr0Ur8Pgbc3O/9e4Djg2cpcJMb4bAihD/BGCAFgNXAK6RmrrbkLuCWEsA7Yx/uwJKlhCDFuvrpCkqTaL1me90SymUVF+1wIFMUYf5OtuCRJDZszWJKkBiGEMAbYhfTGF5IkZYUzWJIkSZKUIW5yIUmSJEkZYoElSZIkSRligSVJkiRJGWKBJUmSJEkZYoElSZIkSRny/0bUj0ZKGjSJAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 864x648 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# 2,1이면 2개의 그래프를 2행 1열로 나타내며 fig와 axs는 배열형태로 받는다.\n",
    "fig, axs = plt.subplots(1, 1, figsize=(12,9))\n",
    "\n",
    "for d in dataframes:\n",
    "    axs.plot(d[0]['거래 가격'], d[0]['지급할 커미션'], label=d[1])\n",
    "\n",
    "axs.set_xlim(0)\n",
    "axs.set_ylim(0)\n",
    "axs.set_title('거래 금액별 커미션 비용 추이')\n",
    "axs.set_xlabel('거래금액')\n",
    "axs.set_ylabel('커미션 비용')\n",
    "axs.grid(True)\n",
    "axs.legend()\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "50만 까지 요청한 대로 계산한 커미션 금액 총합: 4177250.0\n",
      "50만 까지 5구간으로 나누어 조정한 커미션 금액 총합: 4477700.0\n",
      "50만 까지 요구사항 대비 절감률 -7.192530971332815\n"
     ]
    }
   ],
   "source": [
    "total_commision_requested_untill_500000 = df_requested.loc[df_requested['거래 가격'] < 500000, '지급할 커미션'].sum()\n",
    "total_commision_caculated_untill_500000 = df_5stage.loc[df_5stage['거래 가격'] < 500000, '지급할 커미션'].sum()\n",
    "print(\"50만 까지 요청한 대로 계산한 커미션 금액 총합:\", total_commision_requested_untill_500000)\n",
    "print(\"50만 까지 5구간으로 나누어 조정한 커미션 금액 총합:\", total_commision_caculated_untill_500000)\n",
    "print(\"50만 까지 요구사항 대비 절감률\", 100 - (total_commision_caculated_untill_500000 / total_commision_requested_untill_500000 * 100))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "50만 부터 요청한 대로 계산한 커미션 금액 총합: 11272500.0\n",
      "50만 부터 5구간으로 나누어 조정한 커미션 금액 총합: 7515000.0\n",
      "50만 부터 요구사항 대비 절감률 33.33333333333334\n"
     ]
    }
   ],
   "source": [
    "total_commision_requested_after_500000 = df_requested.loc[df_requested['거래 가격'] >= 500000, '지급할 커미션'].sum()\n",
    "total_commision_caculated_after_500000 = df_5stage.loc[df_5stage['거래 가격'] >= 500000, '지급할 커미션'].sum()\n",
    "print(\"50만 부터 요청한 대로 계산한 커미션 금액 총합:\", total_commision_requested_after_500000)\n",
    "print(\"50만 부터 5구간으로 나누어 조정한 커미션 금액 총합:\", total_commision_caculated_after_500000)\n",
    "print(\"50만 부터 요구사항 대비 절감률\", 100 - (total_commision_caculated_after_500000 / total_commision_requested_after_500000 * 100))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "전체 요청한 대로 계산한 커미션 금액 총합: 15449750.0\n",
      "전체 5구간으로 나누어 조정한 커미션 금액 총합: 11992700.0\n",
      "전체 요구사항 대비 절감률 22.37609022799721\n"
     ]
    }
   ],
   "source": [
    "total_commision_requested = total_commision_requested_untill_500000 + total_commision_requested_after_500000\n",
    "total_commision_caculated = total_commision_caculated_untill_500000 + total_commision_caculated_after_500000\n",
    "print(\"전체 요청한 대로 계산한 커미션 금액 총합:\", total_commision_requested)\n",
    "print(\"전체 5구간으로 나누어 조정한 커미션 금액 총합:\", total_commision_caculated)\n",
    "print(\"전체 요구사항 대비 절감률\", 100 - (total_commision_caculated / total_commision_requested * 100))"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}