{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Portfolio Analysis\n",
    "by Samuel Ching, Maxwell Margenot, Gus Gordon, and Delaney Mackenzie\n",
    "\n",
    "Part of the Quantopian Lecture Series:\n",
    "\n",
    "* [www.quantopian.com/lectures](https://www.quantopian.com/lectures)\n",
    "* [https://github.com/quantopian/research_public](https://github.com/quantopian/research_public)\n",
    "\n",
    "Notebook released under the Creative Commons Attribution 4.0 License. Please do not remove this attribution.\n",
    "\n",
    "---\n",
    "\n",
    "In professional quant workflows, it is critical to demonstrate the efficacy of any portfolio through rigorous testing. This is fundamental to understanding the risk profile as well as the performance of the portfolio. As such, quants and developers often have to build in-house tools to measure these metrics. To this end, we have created a package called pyfolio. pyfolio is a Python library for performance and risk analysis of financial portfolios, available on github [here](https://github.com/quantopian/pyfolio). It allows us to easily generate tear sheets to analyze the risk and performance of trading algorithms as well as return streams in general. \n",
    "    \n",
    "\n",
    "## Issues with Backtesting\n",
    "\n",
    "It is often tempting to run many backtests while building an algorithm. A common pitfall is to use the success of backtests as a feedback metric to fine-tune an algorithm's parameters or features while still in the construction phase. This leads to the overfitting of the strategy to whichever time periods the user ran the backtests on. Ultimately, this results in poor performance when deployed out of sample in live trading.\n",
    "\n",
    "As such, running backtests and generating tearsheets should only occur at the tail end of the algorithm creation lifecycle. We then get a picture of the algorithm's performance, aiding the user in deciding whether to move forward with the deployment of the algorithm or to switch to another strategy.\n",
    "\n",
    "There are two main parts to a full pyfolio tearsheet. First, there are the performance statistics in table format. Useful metrics such as the annual return, market beta, and Sharpe ratio are all listed in this table. These metrics not only represent how well the strategy has performed during the time period of the backtest (annual rate of return), they also show the risk-adjusted return as measured by the different ratios. We will go into more detail about the meaning of these metrics. \n",
    "\n",
    "Next, there are plots which help to visualize a variety of the performance metrics. For instance, the user can use the drawdown plots to quickly pinpoint the time periods in which the strategy performed the worst. In addition, it will help the user to see if the strategy is performing as it should - if a strategy is market neutral, but suffers significant drawdowns during crisis periods, then there are clearly issues with the strategy's design or implementation."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Setup - Getting a Backtest into the Research Environment"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "First, we import a backtest into the research envrionment. In this lecture, we will use the backtest from [this forum post](https://www.quantopian.com/posts/how-to-get-an-allocation-writing-an-algorithm-for-the-quantopian-investment-management-team)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "import pyfolio as pf\n",
    "import matplotlib.pyplot as plt\n",
    "import empyrical"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# Get benchmark returns\n",
    "benchmark_rets = pf.utils.get_symbol_rets('SPY')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "100% Time: 0:00:07|###########################################################|\n"
     ]
    }
   ],
   "source": [
    "# Get the backtest\n",
    "bt = get_backtest('58812b2977ca4c474bbf393f')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now, we want to understand the returns, positions and transactions of the trading algorithm over our backtest's time period. We can get these data points from `backtest` object attributes."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "bt_returns = bt.daily_performance['returns']\n",
    "bt_positions = bt.pyfolio_positions\n",
    "bt_transactions = bt.pyfolio_transactions"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now, we are ready to use pyfolio to dive into the different performance metrics and plots of our algorithm. Throughout the course of this lecture we will detail how to interpret the various individual plots generated by an pyfolio tear sheet and include the proper call to generate the whole tear sheet at once at the end. This function is built into our backtest object, removing the need to write out all the code in the long form presented here."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Performance Statistics\n",
    "\n",
    "With pyfolio, there is a wealth of performance statistics which most professional fund managers would use to analyze the performance of the algorithm. These metrics range from the algorithm's annual and monthly returns, return quantiles, rolling beta and sharpe ratios to the turnover of the portfolio. The most critical metrics are discussed as follows."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Risk-Adjusted Return\n",
    "\n",
    "The risk-adjusted return is an essential metric of any strategy. Risk-adjusted returns allow us to judge returns streams that have different individual volatilities by providing an avenue for meaningful comparison. There are different measures of risk-adjusted returns but one of the most popular is the Sharpe ratio. In this particular backtest, the annual return of $2\\%$ for $1\\%$ volatility is an example of a relatively low absolute return, but a relatively high risk-adjusted return. Then, with a low risk strategy, leverage can then be applied to increase the absolute return."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The Sharpe Ratio of the backtest is:  1.29850718492\n"
     ]
    }
   ],
   "source": [
    "print \"The Sharpe Ratio of the backtest is: \", empyrical.sharpe_ratio(bt_returns)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "#### Market Beta\n",
    "\n",
    "The market beta of an algorithm is the exposure of that stategy to the broader market. For instance, a market beta of $1$ would mean that you're buying the the market, while a beta of $-1$ means that you are shorting the market. Any beta within this range signifies reduced market influence, while any beta outside this range signifies increased market influence. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The market beta of the backtest is:  -0.00165873783566\n"
     ]
    }
   ],
   "source": [
    "print \"The market beta of the backtest is: \", empyrical.beta(bt_returns,benchmark_rets)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In the case of this strategy, the beta is 0. This means that this strategy has no exposure to the broader market, it is *market neutral*. To institutional investors, market neutral strategies are very attractive. After all, if the investors want a strategy which is highly exposed to the market, they could simply buy an ETF or an index fund."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Drawdowns\n",
    "\n",
    "A drawdown is the 'peak to trough decline' of an investment strategy. Intuitively speaking, it refers to the losses the strategy has experienced from the base amount of capital which it had at the peak. For instance, in the 2008 Financial Crisis, the market drawdown was over 50% from the peak in 2007 to the trough in 2009."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The maxmimum drawdown of the backtest is:  -0.0113644622693\n"
     ]
    }
   ],
   "source": [
    "print \"The maxmimum drawdown of the backtest is: \", empyrical.max_drawdown(bt_returns)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This is another measure of the financial risk of an algorithm. If the net drawdown of a strategy is very significant, this generally means that the volatility of the algorithm is more significant. Good strategies try to limit drawdowns. A good benchmark is to have a maximum drawdown of less than 20%."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Plotting\n",
    "\n",
    "In pyfolio, there is a `plotting` module which allows users to quickly plot these metrics. These plots can be individually plotted using the following functions:\n",
    "\n",
    "- `plot_annual_returns`\n",
    "- `plot_daily_returns_similarity`\n",
    "- `plot_daily_volume`\n",
    "- `plot_drawdown_periods`\n",
    "- `plot_drawdown_underwater`\n",
    "- `plot_exposures`\n",
    "- `plot_gross_leverage`\n",
    "- `plot_holdings`\n",
    "- `plot_long_short_holdings`\n",
    "- `plot_monthly_returns_dist`\n",
    "- `plot_monthly_returns_heatmap`\n",
    "- `plot_multistrike_cones`\n",
    "- `plot_prob_profit_trade`\n",
    "- `plot_return_quantiles`\n",
    "- `plot_rolling_beta`\n",
    "- `plot_rolling_returns`\n",
    "- `plot_rolling_sharpe`\n",
    "- `plot_turnover`\n",
    "- `plot_txn_time_hist`\n",
    "- `show_and_plot_top_positions`"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Returns Plots\n",
    "\n",
    "Plots of cumulative returns and daily, non-cumulative returns allow you to gain a quick overview of the algorithm's performance and pick out any anomalies across the time period of the backtest. The cumulative return plot also allows you to make a comparison against benchmark returns - this could be against another investment strategy or an index like the S&P 500."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
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hubkZra2t0vxwpVKJ9PR0eDweOJ1OxMfHY/ny5dBoNACAkpISLFq0CM3Nzairq4PFYkEg\nEMCKFSsgl8snfG8G5F+ybu66cTPZ0+XkOeQ9PT2w2WyIi4tDdnY2fD4fPvnkE5x11lkoKirCL37x\nC4RCITgcDjzyyCPYuXMn8vPz8fDDD+P666/H7t27sWbNGilwLy0txTPPPIObbroJPp8PP/nJT/DA\nAw/gF7/4Ba699lps3boVdrsdDQ0NEAQBgUAgKn1AREREREQ0Ezo6OtDQ0AC73S5tS0pKQm5uLrKy\nsqTAWhTFEYejq1QqzJ8/H2lpadi7dy+sVivKy8tx9tlnQ6lUTqgNDMhjSFNTkzSk3O/346GHHoLd\nbsett94Ko9GI6667Do8//jguvvhiXHrppbj66qsBADt27Bhynccffxy33HIL3nnnHRQWFmLr1q14\n5513UFZWhm9961sAIJ2blZWFG264AQkJCUhISMC3v/1t6HQ63HvvvZgzZw42bdo0s51AREREREQ0\nzaxWK/bt2wcAUCgUMBqNyM3NRUJCwrBjx5sbnpCQgLVr12LPnj2w2+3Ys2cPVq5cCbVaPW47GJDH\nCKPRiAMHDoy475vf/Kb0+fnnnw8AWLhwIW644YYhx7377rsAgOzsbPzlL38BALzxxhvS/rvvvht3\n3333kHMuu+wyXHbZZUO2rVmzBp9++umUXgcREREREVGsq6urAwDk5eVh0aJFUChOLTTW6/VYu3Yt\n9u7dC6fTid27d2PVqlXQarVjnsd1yImIiIiIiOiM0d3dDbvdDqVSGZFgPEyn02Ht2rWIj4+Hy+XC\n7t270d/fP+Y5DMiJiIiIiIjojBHOjufm5kYsGA9Tq9VYs2YNkpKS4Ha78a9//WvM4xmQExERERER\n0RnB5XKhs7MTMpkM+fn503IPpVKJVatWISUlBV6vd8xjGZATERERERHRacdisaCmpkZaQSoUCqG6\nuhqiKCI7O3tCRdemSqFQYOXKlTAajWMfN20tmEXGe2pBs5/X653WbzgiIiIiIoodXq8Xhw4dQigU\nQmtrK4qLi1FbW4vu7m7I5XIUFBRMextkMhmWLVs2avFugBlyqNVqBmrjOHr0aLSbcMr4dSYiIiIi\nOnOYzWaEQiEIgoD+/n5UVFSgu7sbWq0Wa9asQVxcXLSbCIAZcgiCAI1GE+1mxDz2ERERERERzQah\nUAhNTU0AgLPPPhtdXV1oaGhASkoKli1bFlOJupjKkB8/fhznn38+3n777WH7fD4f7rnnHmzZskXa\nVlFRgdWrV2Pbtm247rrr8Pjjj89kc4mIiIiIiCjGdHR0YGBgAHq9HmlpaSguLsYFF1yAVatWxVQw\nDsRQhtzj8eDpp5/G2rVrR9z/zDPPoKSkBPX19UO2l5WV4fnnn5+JJhIREREREVGMC2fH8/LyIAgC\nAEClUkWxRaOLmYBcrVbjlVdewauvvjri/h07dsDhcOBPf/rTkO2iKM5E84iIiIiIiCgGiKKIQCAA\nr9cLn88Hr9crfe7xeGC326FQKGAymaLd1HHFTEAuk8nGfGqh1WpH3F5fX49bb70VTqcTt912G9as\nWTNdTSQiIiIiIqJp5PP50NbWBrfbjYyMDCQnJyMQCMBiscBqtaK/vx9utxvBYHDM6+Tk5EChiJlw\nd1Sx38Ix5Obm4vbbb8dFF12ElpYWbNu2DR999NGs6HgiIiIiIiIazHg7HA6YzWZYLBaEQiEAQEND\nA3Q6Hbxe77AAXKFQSCspqVSqIf9qNBqkpaVF46VMmiDG2Jjvl156CUlJSbjmmmuG7Wtra8Ndd92F\nd999d8Rzv/nNb+JnP/vZmIuvj7UGHBEREREREc2MQCCA7u5uOBwOeL1eabvBYIBGo0FPTw/8fj8A\nQK/XIzExEVqtFiqVCnK5PFrNnpLly5ePuH1WpZJFURwyZ/z9999Hc3Mzbr/9dtjtdjgcDqSnp497\nndE6g0Z24MAB9tkUse9Gx745Ney/yWF/TR37bvLYZ1PHvps69t3ksc+m7lT6LpwNb25uRldXF0Kh\nEAwGA1JSUpCTk4OcnBzodDrp2J6eHqjVamnbbDRWUjhmAvLDhw/jgQcegMPhgFwux65du7BlyxaY\nTCZs3LgR27dvR0dHB9rb27F582bccMMNuOiii/D9738fV111FURRxCOPPMLh6kRERERERDHG6/Wi\ntbUVZrMZLpcLACAIAtLS0pCbm4u0tDTIZENX5RYEAUlJSdFo7oyJmei1tLQU77///qj7f/Ob34y4\n/eWXX56uJhEREREREdEp8Hg8OHLkCDo7O6XRzhqNBtnZ2UOy4WeqmAnIiYiIiIiI6PQhiiIOHjwI\nh8MBQRCQkZGB7OxspKenS+uDn+kYkBMREREREVHEtbS0wOFwQK1WY/369dBoNNFuUsyRjX8IERER\nERER0cR5vV4cO3YMAFBcXMxgfBQMyImIiIiIiCiiqqur4ff7kZqaiqysrGg3J2YxICciIiIiIqKI\ncblcaGlpgUwmw5IlSzhffAwMyImIiIiIiChizGYzAMBkMiEuLi7KrYltLOpGRERERERE4xJFEaFQ\nCIFAAG63G4FAAMFgEIFAAAkJCVCpVAiFQmhtbQUA5OTkRLnFsY8BOREREREREY3q+PHjaGxsRDAY\nhCiK6OrqgtVqHXJMXFwcvvKVr8Bms8Hr9SI+Ph6JiYlRavHswYCciIiIiIiIRiSKIhobGxEIBAAA\ncrkcCoUCOp1O+nxgYAD9/f04dOgQQqEQgMHsOOeOj48BOREREREREY2or68PgUAAOp0OX/3qVyEI\nAg4cOIDly5dLx7jdbnz66afo7OwEMBi0m0ymaDV5VmFRNyIiIiIiIhpRd3c3ACApKWnUjLdOp8Oy\nZcuk/ZmZmVAqlTPWxtmMATkREREREc2I/v5+HD16FI2NjbDb7QgGg9FuEo3D4XAAAJKTk8c8Li0t\nDUVFRdBqtSgoKJiJpp0WOGSdiIiIiIhmRGVlJbq6uqT/a7VarFmzBjqdLoqtorGcnCEfT35+PvLz\n86e7SacVZsiJiIiIiGjaORwOdHV1QaFQICcnB3FxcfB4PNizZw8GBgai3TwagdfrRX9/P+RyOeLj\n46PdnNMSA3IiIiIiojOAx+NBe3s7/H5/VO5fW1sLAMjLy0NpaSnWr1+PxMREuN1u7N27Fz6fLyrt\notGFs+OJiYmsmD5NOGSdiIiIiOg0J4oiysvL0dfXB5lMhvT0dBiNRqSnp0Mmm/4cndPphNVqhVwu\nl4Y0KxQKrFy5Ert370ZfXx/27t2L1atXsxhYDAkH5OPNH6epY4aciIiIiCiGiaIIp9OJ3t5euN1u\n+Hw+iKI4qWuYzWb09fVBoVBAFEW0t7dj//79+PDDD3H48GHY7fZJX3My7a+pqQEAzJ07FyqVStqn\nUqmwatUqxMXFwel0oqKiQlrvmqJvMvPHaWqYISciIiIiilGhUAj79++X1nc+mVwuh0KhgEKhgNVq\nhc/ng0KhgE6ng8FgQFJSEgwGAwKBAE6cOAEAKC0tRXJyMtra2tDW1gan0wmz2Qyz2QytVotFixZF\nbP1oURRhsVhQX18Pp9MJmUw2YsEvjUaDVatWYffu3XA4HNi/fz/KyspGzNz7/X4oFAoOn54BoVAI\nPT09ABiQT6dpCchdLhf0ej26urrQ1NSEZcuWzchQGCIiIiKi2cbj8UjDuXU6HfR6PVQqFURRRGVl\nJTo7O6FQKKDVahEIBKSPYDCIYDAIr9cLj8czpHp5mNFohFKphNfrRVJSEjIzMyEIAgoKClBQUIC+\nvj4pOHe73Th8+DBSU1OhVquHXSsYDEIul0/4dR07dgwNDQ0AALVajeLiYmg0mhGP1el0UlBus9lw\n8OBBLF++fEjg3dfXh88++wzZ2dlYsmTJhNtBU9Pb24tgMCi9H2l6RDwgf+yxx7Bw4UJ87Wtfw5VX\nXoni4mK89957ePTRRyN9KyIiIiKiWSk8bLyxsVFa5/lkCQkJ0Gg06OzshFwux6pVq4ZkKUVRRDAY\nlILzQ4cOobCwED6fD/39/ejr60NHRwfa2tqkc4qKioZllg0GAxYtWoSFCxeioqICVqsVra2t0jrS\nwWAQFosFZrMZDocDS5Yswdy5c8d9faFQCC0tLQCAJUuWIDs7e9xgXq/XS0F5e3s7vvjiCyxdulRq\nc2trK4LBIGw227j3p1NntVoBMDs+3SIekB87dgwPPvgg/uu//guXX345brvtNlx//fWRvg0RERER\n0azk9XpRVVWF9vZ2AINDz9PS0iCTyaRg2ul0wul0QhAErFixYlhQJAiCNFwdGMwwp6SkDDnG7Xaj\nuroaFosFJpNpzMJcgiBg7ty5sFqtaG5uRn5+PoLBID777DO4XC7puNraWuTk5Iw7+tVms8Hv9yM+\nPn5CAXxYfHw8Vq5cib1796K1tRVxcXFYsGCB9AAj/LpCoRBH4E4jURSlBypGozHKrTm9RTwgDxeD\n+OSTT/C9730PALiEARERERERAIvFgqqqKmm+d2FhIUwmkxRYA4NZaYfDAbvdjqSkJKSlpU3pXjqd\nDsuXL8fixYsnNOQ4LS0NGo0G/f39sNvtsFgscLlciIuLw7x589DQ0IC+vj4pwB/vdQJAVlbWpNud\nlJSE5cuXo7y8HA0NDSgoKIDb7UZ/fz+AwXijv78fBoNh0temienq6oLb7YZWqx32oIciK+IBeV5e\nHi6++GIkJyejsLAQf/7zn5GQkBDp2xARERERxaRQKARBEIYMD/f5fKiqqpIC1ZSUFJSWlkKn0w07\nXy6XIzU1FampqRFpz0jzwUciCAJycnJQU1ODI0eOSEuknX322VLwe/jwYTQ2NsJoNI5aWC0YDKKj\nowMAkJmZOaU2p6WlISkpCd3d3WhtbYXX6x2y3+VyMSCfRuHseHZ2NgvoTbOIB+SPP/44ampqpHkn\n8+bNw09+8pNI34aIiIiIKOa43W7s2bMHoVAIJSUlSE9PR0dHByorK+H1eqWseG5ubkwGOjk5Oait\nrUVfXx8AYOHChVLgazQaUV1djZ6eHnR3d486BN5msyEQCCAhIQF6vX7KbcnLy0N3dzcaGxulvjIY\nDOjr6xsyjJ4iy+fzob29HYIgIDs7O9rNOe1FPCB3OByoqKjARx99NGQtw7vuuivStyIiIiIiihk+\nnw/l5eVwu90AgIqKCiQkJMDpdAIA5syZg6VLl46YFY8VWq0WaWlp6OzsRGJiopRkAwYz97m5uait\nrUVtbS2KioqgVquhVCqHPFwIz/WeanY8LDMzExqNRno4oFAokJubiyNHjjAgj7DOzk7s27cPc+bM\ngU6nQygUQmpqaky/V08XEQ/Ib775ZixcuJCT/4mIiIjojBEMBrFv3z5pKHV2djZOnDgBp9MJuVyO\nRYsWIS8vLyaz4l9WWFgIlUqFBQsWDGvv3LlzUV9fD6vVKlXhlslkUKvV0ofdbgcwtfnjJ5PJZJg7\ndy6OHz8OAEhPT0d8fDwAMCCPsLa2NoiiOGTpPGbHZ0bEA3KdTocnn3wy0pclIiIiIopJoVAIBw8e\nhMPhgEajwcqVK6HVapGRkYG2tjZkZWWd0tDtmWYwGLB06dIR92k0GixevBhtbW3wer0YGBhAIBCA\nx+OBx+ORjktMTERcXNwptyWckQ8Gg8jIyJD60eVySUu/lZeXIxgMSvPuk5OTWYF9krq7uwEA+fn5\n0rr3GRkZUW7VmSHiAXlpaSnq6+uHDG8hIiIiotktEAjg6NGj6OnpgSiKEAQBixcvxpw5c6LdtKgS\nRRGHDx9GR0cHlEqlFIwDkJbsOt3k5uYiNzdX+n8wGITX65U+fD5fxCpzq1QqFBcXw+FwID09HTKZ\nDEqlEn6/Hz6fD11dXdI67k6nE3V1dZDL5ZgzZ44UoOv1+lkxMiFavF4v3G43FAoFioqKUFxcHO0m\nnVEiHpB/9tln+O1vf4vExEQoFArpB/Ynn3wS6VsRERER0QwYGBhARUWFNBc6rKqqChs2bDhjgx1R\nFFFVVYXW1lYoFAqsWrVKGlJ9JpHL5dDpdNM23/jLDwD0ej26u7vhcrmkau65ublQKBSw2Wzo7e0d\nMqReq9WipKRkysvHne7CDzQSExPP2O/laIp4QP7LX/4y0pckIiIimpXC2dNAIACj0Yi0tDTI5fJo\nN2tSXC62P3JkAAAgAElEQVQX9u7dC4/Hg7i4OJSWlkKpVGLfvn3o6+tDS0sLcnJyot3MqOjq6kJz\nczPkcjnKysqQmJgY7SadEcIBeTjwBgZXdgo/EBgYGEBXVxdsNhtsNhs8Hg/27duHsrKyiC0ldzoJ\nD1dPSkqKckvOTBEPyJ9++mm88MILkb4sERER0azT1tYmrefb3t4OpVKJzMxMmEwmJCcnz1g2yuVy\nwe/3T/oPblEUcejQIXg8HiQlJaGsrAwqlQrA4HJYhw4dwokTJ2A0Gmfdg4ZIqK2tBQDMnz//jB+6\nP5PC88ibm5sRCARgMBiGZOc1Gg1MJhNMJhNEUcSRI0fQ1NSEffv2YeXKlfxafUk4IB9tGTuaXhEP\nyHNycvDuu+/irLPOkn5gA6zSR0RERGcWURRRU1MDADCZTOjr64PT6YTZbIbZbIZWq4XRaITRaJzW\nYc4ejwefffYZQqEQNm7cCLVaLe0LhUJjFr9qa2tDT08P1Go1Vq1aBYXi//50NBqNaGhogNPpRE1N\nDTIyMhAMBhEIBBAIBBAMBqWPzMzMWVXUbCLsdjvsdjuUSiXy8vKi3ZwzSvi9FF4ObaziY+FaB8Fg\nEC0tLdi/fz82btx4Rj5AGkkoFJKmonCER3REPCD/n//5n2HbBEHAP/7xj0jfioiIiChmtbW1ob+/\nH3FxcVi6dCkEQUBfXx/a2trQ1tYGt9uNuro61NXVIT4+HkajESaTCRqNZsr3FEURnZ2dkMlkSEtL\nGzJkHhicKxpeG/qLL75Aa2srEhISkJKSgpSUFCQnJ0uBSiAQQHV1NYDBZbBODsaBwb/vCgsLsXfv\nXul1jKalpQXnnHPOaVX5OvywJT8/f1jf0PT68sOd8aqBC4KA0tJSOBwO9Pf3o6+vLyLBpyiK6Ovr\ng8FgmLVzr3t7exEMBqHX64ckU2nmRPynx8cffxzpSxIRERHNKidnx+fPny/9sW4wGLBo0SIsXLgQ\n3d3daG1tRXt7O3p7e9Hb24v6+nqcc845Q7LYE+XxeFBZWSnNqTWZTDAYDLDZbNIx3d3dyMzMRCgU\ngsVigSiK6OnpQU9PD+rq6iCTyZCUlISUlBQMDAxgYGAAiYmJMJlMI94zNTUVeXl56Orqglwuh0Kh\nGPZvZ2cn+vv7UV9fj/nz50/6dcWi7u5udHV1QaFQMDseBTqdDoIgQBRFaDQaJCQkjHuOIAhITExE\nf38/ent7hwXkgUAAhw8fhiAIMBgMiI+Ph8FggFarHTXYbmxsxNGjR7F06dJZOxo4XNCN88ejJ+IB\n+Y9+9KMRtz/zzDORvhURERFRzPH5fDh27JiUHR8pmBUEAcnJyUhOTsbixYthtVpRU1MjDWkPB66i\nKCIQCECpVI56P1EU0dzcjOrqaunYUCiE1tZW6ZicnByYzWZprmh3d7eUFSsuLkZXVxfsdjucTqc0\nFDusuLh4zOzf4sWLx+yP9PR07NmzB7W1tTAajdNWiXum+P1+VFZWAgDy8vLG/NrQ9JDJZIiLi4PL\n5UJGRsaEs9MJCQloa2sbtloAAFgsFlgslmHbFQoF9Ho94uPjkZiYiOzsbGmkR/j7yel0xmxA3tjY\niLq6OsTFxcFgMAz5UKlULOgWAyIekK9evVr63O/3o7y8fNSnqkRERESni2AwiEOHDuH48ePSGswL\nFiwYN1iQyWTIyMiATCZDeXk5zGYz5s2bBwDYv38/bDYb1qxZM+IQW5fLhcOHD0tZrszMTCxZsgR+\nvx8HDx6E0+mEyWRCUVERzGYzenp6EAqFpIA7JSUFaWlp0nJQfr8fdrtdWts5NTX1lAs9paSkwGg0\noq2tDVVVVcjKyoLP50NqauqsWyIsEAigoqICvb290Ov1KCgoiHaTzljJycno7++H0Wic8Dnh91tv\nb++wfeHvIaPRCLVajb6+PvT29sLr9UqjSMxmMxQKhXTP/v5+AIDb7T7VlzMtRFFEbW0tvF4vBgYG\nhjxoAwaL3/n9fgAMyKMp4gH55ZdfPuT/W7duxc033xzp2xARERHFFIvFgvb2dgiCgKysLGRnZ09q\n3ePU1FRotVq43W50dXUhGAxKaywfPnwYX/nKV6TMXCgUQkNDA06cOIFQKAS1Wo0lS5ZI88PVajXW\nrVuH7u5uqZq7Xq+Hy+WSsuAApAcHYUqlEhkZGePOyZ2soqIidHZ2DlkbOiEhAevXr4/ofaZTKBTC\ngQMH4HA4oNVqsWrVKmbHo6i4uBj5+fkwGAwTPufkgFwUxSH7wpni/Pz8IQ+/fD4f+vr60NTUBIvF\ngt7eXhiNRoiiCJfLBSB2A3KbzQav14u4uDgsWbJEesjQ19eHvr4+DAwMABj8eTGZfqTIinhAHgqF\nhvy/vb0dTU1NEzr3+PHjuOOOO3DDDTfgmmuuGbLP5/PhwQcfRH19Pd59911p+5NPPinN97jvvvuw\nZMmSU34NRERERJMVHiKelZWF5cuXT/p8QRCQm5uL48ePo7GxUaogLZPJ0Nvbi4aGBsybNw/d3d2o\nqqqSht1mZ2ejqKhoWEEmmUw2ZHmnpKQkuFwu2O12KfiYqeWfNBoNSktLYTaboVKp0NbWBpfLBVEU\nZ0UxrPDyb1arFSqVCqtWrYJWq412s85oCoVi0kGkWq2GRqPBwMDAkCDa6/XC5XJBLpcPG7WhUqkw\nZ84c+Hw+WCwW6fvS6/UiGAwCGKzfEIvv5ba2NgCD9SRSU1OHrMEuiiI8Hg/6+vqg1+tjru1nkogH\n5EVFRdIXVBRFGAwG3HTTTeOe5/F48PTTT2Pt2rUj7n/mmWdQUlKC+vp6adu+ffvQ3NyMXbt2ob6+\nHvfffz927doVmRdCRERENEHhrLZcLj+l6s3Z2dk4ceIEOjs7AQxm9AoLC1FeXo6amhp0d3dLWXOd\nToeSkpIhf2SPJSkpCS0tLWhqakIwGER8fPyMVlXOyspCVlYWAMBqtcLv98Pn802pgN1MEkURVVVV\nsFgsUCgUWLVq1Wm3hNuZJCEhAQMDA0PmkZ9c2Gy0lQC+vNRaODsODE5l8Pv9MVWl/OQRNiMN6xcE\nATqdbtbXdDgdRDwgLy8vH1bpsKWlZdzz1Go1XnnlFbz66qsj7t+xYwccDgf+9Kc/Sdv27NmDjRs3\nAgAKCgrQ29srFVAhIiIiminh7HhGRsawobCTodFokJ6eLv0hXVxcjJSUFJhMJrS2tqKjowNyuRx5\neXmYP3/+pJbbCs8F93g8AGYuOz4SnU4Hp9MJt9sd8wH5iRMn0NzcDJlMhrKysglV9KbYFR8fj87O\nziHzyMMB+Vj1EuLi4iCTyeB2uxEIBKT542FutzumAvKOjg4EAgEkJSUxNopxEV0MMhQK4fbbb4co\nigiFQhBFET6fD7feeuv4DZHJxnwTjzQsqKura8g3TlJSErq6uqbWeCIiIjrt9PX1weFwoLe3F263\nG36//5QC5pGIoigF5JEoZJufnw9BEGAymaQ53sXFxUhLS0Nubi6++tWvjrgu+Hj0ev2Qc6IdkAOx\nO/c2rL6+HrW1tRAEAStWrIhqn1FkhB+onJwhD0/hGCsgD1d2Bwaz4ydnyIHYey+Hh6tPpugdRUfE\nMuR/+ctf8OKLL6K5uRmFhYXSdplMhnXr1kXqNmOa6C/YAwcOTHNLTj/ss6lj342OfXNq2H+Tw/6a\nutnYd6Ioor29fdQH9TKZDHK5HEqlEtnZ2WNmaUOhkFQESi6XS+eGPzweD5qbm6FUKmE2myEIwin3\n2Zw5cxAMBodcR6FQwO/34+jRo1O+7smBhNlsHnGZp5kQ/tpUVlZKowHCovl+CyeVgMGALfygJTs7\nG62trUOWkotFs/F7daZ5vV50dXWhp6cHRUVF2LdvH+rq6iCKIhobG2E2m0c91+FwwOl0Yv/+/ejp\n6UFfXx+USqW0FF57e/sMvpLRBQIBVFdXAxicHhIeARBpfL9FRsQC8k2bNmHTpk148cUXcccdd0Tq\nsmNKS0sb8ovWarVOaB7VVAqtnMkOHDjAPpsi9t3o2Denhv03OeyvqZuNfRde8gsYrFyemJiIQCAg\nzfMMBAJDjtfpdFi6dCmAwYDM7XZDo9FALpfD6XTi0KFD42a/UlJSMG/ePBQWFsZ0n+n1etTU1CA+\nPh4rV66MWjuSk5Nx5MgRGI1GlJSUSNuj2XeiKGLPnj1DloZKSUnB4sWLkZeXF5U2TUYsv+9iiSiK\ncDqd0s+D+fPno6OjAwkJCSgrKxvzXIPBgBMnTsBoNEImk0GtViMnJwdmsxlGozFmiktbLBYpLpqu\n73O+3yZnrIcXEZ9D/p3vfAdvv/02Ojo6sGPHDhw+fBiLFi2KyPwgURSHZMHXrl2Ll156CVu3bsXR\no0eRnp7OwgRERERnKL/fj6amJjQ2NsLr9UKlUo04zFgURWkO6Oeff462tjYUFhZCrVajvr4e1dXV\nkMlkMBgMUmZcr9cjISFB+iM+HNiH/1UqlcjNzY3SK5+4rKwsNDU1Rb2tsThk3Ww2w263QxAEaSTE\nvHnzZkUwThMnCALi4+PhcDgwMDAwofnjYeGq7uEpMIIgIDU1FWazOabeyxMZgk+xI+IB+Y9//GMY\nDAbpyfTRo0fxxhtv4LnnnhvzvMOHD+OBBx6Aw+GAXC7Hrl27sGXLFphMJmzcuBHbt29HR0cH2tvb\nsXnzZtxwww3YsmULioqKcOWVV0Iul+Ohhx6K9MshIiKiWcDlcuFf//oXfD4fgMG6MsuWLRvxQb0g\nCFAqlUhMTERaWho6OzthNpthMplQU1MD4P+yaACQl5eHwsJCyOXyEe8dThbMhmWDDAYDLrjggmg3\nI+YCcq/XKw3xXb58ubSeO52eEhIS4HA4YLFYpJ8ZEwlew5XWu7q6IIoidDqdtC1W3svA0KrxFPsi\nHpA3NDRg165duO666wAAV199Nf7617+Oe15paSnef//9Uff/5je/GXH7jh07ptZQIiIiOm00NDTA\n5/MhMTERixYtQkpKyoQC5Llz56KzsxPNzc1wOp0IBoPIyspCaWkpenp6oFKphq1L/GWzIRCPNeFi\nvbGyfnN1dTX8fj/S0tKQkZER1bbQ9EtOTpZG0ni9XigUigkV7AtXWg/XGYiLi5MeLkXzvRwMBiGT\nySAIAoLBIHp7eyEIAgPyWSLiAXm4emf4zeh2uzEwMBDp2xAREREBGCy6Fi6mVFpaOm4AfbLU1FTo\n9Xq4XC54PB7I5XKpgnm4wjlFnkKhgFqthtfrxcDAwIir6cwUh8OBlpYWyGQyLF68OOoPB2j6ZWZm\nYvXq1Thy5AhKS0sRFxc3oSXLwpXWw2uRh1cuUKlU8Pl88Pl8M76MX09PDz7//HMsWLAACxYsgNPp\nRCgUgsFgmPRKDBQdEf8qXXjhhbj++uvR2tqKxx9/HJ9++imuvvrqSN+GiIiIZoFQKAS32w23243+\n/n5pDd9gMAiVSjXmUPCJstls8Pl8MBgMkwrGgcEEwty5c3HkyBEAwLx581iPZoZotVp4vV643e6o\nBuRNTU0ABpeb43rNZwZBEJCSkgKDwTDpLLLBYJAC8vD7RavVwufzwe12z3hAbrfbpQrx8+bN4/zx\nWSjiAfm1116LkpISVFRUQKVS4ac//SkWL14c6dsQERFRDLLb7Whra5MC8PAwztEEg0GUlpae0j1P\ndQ3w7Oxs1NXVQalUoqCg4JTaQhOn0+nQ09MDj8cTtTb4/X5p2bVoF7qj2SFc2A34v4Bcp9PB6XTC\n7XbP+DDx/v5+AIDP50NnZ6cUkHO4+uwR8YD8sccew4MPPjhkCQsiIiI6/blcLuzZs2dIAC4IAnQ6\nHXQ6nTTfUqVSQRRFHDlyBGazGXPmzJlyMB0IBNDZ2QkAMBqNU7qGQqHAueeeK1XXppkRC4Xd2tvb\nEQwGMWfOHI6MoAk5OSAPF3SL5nv55Hu2tLRIxSgZkM8eEQ/IlUol9uzZg2XLlkGpVErbZTJZpG9F\nREREMaS6uhqiKCIjIwO5ublSID7W3wCVlZWorKxEQkLCkD90J+rkgOpUhj1zruXMi4WAvKWlBcDg\nKAmiiQgH4TKZTPqZc3Jht5kWzpADgNVqhSiKUCqVnH4xi0T8t8/vf/97/Pa3v5WqDIb/DS8lQURE\nRKcfu92Ojo4OKBQKlJSUTGgeZU5ODhwOB1pbW1FVVYU1a9ZM6p6iKEoB1VSz4xQ9kwnI+/r6UFtb\ni/z8fCQmJk75nqFQCB6PBzqdDm63W1pul8uc0UTp9XpkZ2dDp9NJBQDDgflMP1wSRVF6CJCamgqb\nzQZgMDvO4oSzR8QD8gMHDkT6kkRERBTDRFHEsWPHAAAFBQUTLmokCAKWLFmC9vZ22O12uN3uCQ8b\nDg95t9vtUCgUDKhmoYlmFbu7u1FeXg6/349QKIQVK1ZM6j7hNeVbWlqkdafj4+Ol+2dmZnKEBE2Y\nIAhYunTpkG3RGu0RrtGh0WiQm5s7JCCn2YM/fYiIiOiUtLe3o6enB2q1Gvn5+ZM6V6FQICMjA21t\nbWhra8P8+fPHPScUCuH48eNoamqCTCbD2WefPaEliyi2aLVaCIIAj8eDUCg04tQGm82Gffv2IRgM\nAgC6uromvNazx+NBW1sbWltbparYACCXy9Hb24ve3l4AUy8GSBQWzpDP9Frk4eHqcXFxSE9Ph1Kp\nhN/vZ0A+yzAgJyIiolPS2NgIAFiwYMGUMo0mk0kKnObNmwdBEOB2u9Hd3Q2Px4OBgYEh/3q9XgCD\nmaoVK1ZwvfBZSiaTQaPRSF/bL4+OsFgsOHToEEKhELKzs6VRFE6nc8xh6+3t7WhubpaCdwBQq9Uw\nGo0wmUwwGAxoaWlBfX09NBoN3z90yhQKhTQNore3FwkJCTNy33BGPlyro7S0FN3d3XxPzzIMyImI\niGjK+vr64HA4oFAoppxpTE1NhVqthsvlgtPpRCAQQHl5OUKh0IjHC4IArVaL4uJipKenn0rzKcq0\nWi08Hs+w6QrNzc2oqqqCKIrIz89HUVERqqqqpEB7tIDc6XRi//79AAYD/oyMDGRnZyM1NXVIBj43\nN5fLnFFEJScnS3UJZjogDxdwy8zM5PSdWSjiAbnT6cTLL78Mm82GZ599Fh9//DGWLl3KxemJiIhO\nQ2azGcBgUbWpzsMVBAFGoxENDQ2oqamBw+FAKBRCSkoK4uPjodVqodFopH81Gg0LFp0m9Ho9HA4H\n6urqkJycDFEUUVdXJxUDXrRokTRqIiUlBc3NzbDZbJg3b96I17Pb7QCA9PR0LF26lFMZaMYkJyej\ntbUVDocDeXl5M3LP8JB1Ltk3u0V8LbIHHngAmZmZaG1tBTC4SP0999wT6dsQERFRlAWDQen3fU5O\nzildK1wlvbOzE36/HxkZGVi1ahWKi4uRn5+PrKwsJCUlSfOO6fQwf/58qNVq2Gw2VFZWoqOjA9XV\n1VLBv/nz50tf7zlz5gAAHA6HNKf8yxwOBwAgIyODwTjNqHDy0eFwSFMlptvJQ9Zp9op4QO5wOLBt\n2zZpDfILL7wQAwMDkb4NERERRVlHRwd8Ph8SEhJOaSkqAEPWIU9ISMBZZ53FwPsMoNPpUFZWBrlc\njpaWFthsNgiCgLPOOgtz584dcqxarUZCQgJCoRC6u7uHXUsURWk7R2bSTNPr9VCpVFKti+kmiuKQ\nom40e0U8IAcAv98v/RLt6uqa8SUAiIiIaHqJoojm5mYAiMhcXEEQUFRUBKPRiLPPPpvLUJ1BEhMT\nsXz5cgiCAEEQUFZWNuq68uFiVV1dXcP2hYvDqVQqBig04wRBGJIln25+vx+BQAAKhUJKhNLsFPGA\n/JprrsEVV1yBuro6fPe738Wll16KG2+8MdK3ISIioigJBAL44osvYLfbIZfLRw2eJistLQ3Lli2T\nlhCiM0d6ejrWr1+PhQsXIi0tbdTjwgG51WqFzWZDS0uLVHU/nB1PSkri6AqKipkMyE8u6Mb3++wW\n8cfPF110EZYtW4ZDhw5BpVLh0UcfHfMHKxEREcWOYDAIl8slfTQ3N0ufK5VKxMfHo7+/H263G3K5\nHEuXLmU2myIiPj5+3HnfycnJkMlkcDqd2Lt3L4DBueWrV6+WgiCuwUzRMpMBOQu6nT4i/ht0w4YN\n2LRpEy655BIsWrQo0pcnIiKiCBsYGEBtbS2sVuuwaWZOp1MaDun1emGz2QAMBk/Lly+HXq+f8fbS\nmUuhUCAvLw8WiwU6nQ5OpxN2ux0Oh4PzxynqEhISIJfL0dfXB5/PN62FBVnQ7fQR8YD8nXfewd/+\n9jc8+OCD8Pl8uOSSS7Bp0yauE0pERBRjQqEQampq0NDQIFWtFgQBer1e+tBqtVixYgX0ej18Ph96\ne3sRDAaRkZEBuVwe5VdAZ6KioiIUFRUBAGpqanDixAlUV1ejt7cXgiCccoFBoqmSyWRITEyE3W5H\nd3f3tMY/LOh2+oh4QJ6RkYHt27dj+/btaG1txa9//Wts3LgRVVVVkb4VERERnYK6ujrU1tYCADIz\nMzF//nwYDAbIZP9XYqa/v18KcBQKBbMxFFPy8vJQX18vZccTExP5oIiiKjk5GXa7HTabbVoDcmbI\nTx/TMumrpqYGH3zwAT788EMkJibioYcemo7bEBER0RQFAgE0NDQAAMrKyjiSjWYlpVKJvLw86cES\nh6tTtGVmZqK2thYtLS1YsGDBtAxb93g8cDqdAJghPx1EPCC/8MILodVqsWnTJrz22mv8BU9ERBSD\nGhsb4ff7MWfOHP6uplktPz8fjY2NCAQCLOhGUZeQkIC0tDRYrVY0NjZi4cKFEb1+IBBARUUFAoEA\nUlNTuSrFaSDiAflLL72EefPmRfqyREREdApEUYTf74dSqUQwGJSy4wsWLIhyy4hOjUqlwpIlS2C1\nWvlwiWLCvHnzpIC8oKAgYitRiKKIQ4cOobe3F3FxcVi2bBmXPDsNRCwg/973voef/exnuPHGG4e8\nMURRhCAI+OSTTyJ1KyIiIpoEp9OJo0ePwm63Q6fTSQXakpOTMWfOnGg3j+iUmUwmmEymaDeDCMDg\n1Ink5GQ4HA40NzejoKAgItetrq5GR0cHlEolysrKprWKO82ciAXkDzzwAADgd7/73bB9Ho8nUrch\nIiKiCfJ6vThx4gTMZrP0gNztdkvFgObPn8/sChFRhAmCgHnz5qGiogINDQ3Iy8sbUixzKlpaWlBf\nXw9BEKSVL+j0ELGAPCUlBQDw0EMP4de//vWQfVu2bMEf/vCHSN2KiIiIxhAKhdDY2IiamhoEAgEI\ngoD8/HzMnz8fvb29sFgsUKlUSE1NjXZTiYhOS2lpaYiPj0dvby9aWlqQm5s75WvZ7XZUVlYCAJYs\nWSLFXXR6iFhA/t577+HnP/85LBYLzjnnHGl7IBDgcDgiIqIZIIoiOjs7cezYMWmN2vT0dBQVFUnZ\nlJSUFP4xR0Q0zcJZ8oMHD6K+vh45OTlTGpHU39+P/fv3IxQKIT8//5QCe4pNEQvIL7nkEnz961/H\n/fffjzvuuEPaLpPJWGCDiIhomvX29uLo0aPo6uoCABgMBhQVFSEtLS3KLSMiOjNlZWXhxIkT6O/v\nh8VigdFonNT5fr8fFRUV8Pl80sNVOv2c2mSGL5HL5XjqqaeQmJgIQRAgCAK8Xi+2bt0aydsQERHR\n/+fz+VBZWYlPP/0UXV1dUCqVWLx4MdavX89gnIgoigRBkAq61dXVQRTFCZ8riiIOHDgAl8sFg8HA\niuqnsYgve/baa6/h5Zdfhs/ng06ng9frxebNmyN9GyIiojOeKIqoqKhAd3c3BEFAXl4eFixYwMq7\nREQxIjs7GzU1Nejt7Z3U0nwNDQ2w2WxQq9UoKyuL2NJpFHsimiEHgA8++AC7d+9GaWkp9u7di2ef\nfRb5+fmRvg0REVHMGxgYQCgUmrbrNzY2oru7GxqNBhs2bMDixYsZjBMRxRCZTCZlyWtrayecJbfZ\nbACA4uJi6HS6aWsfRV/EA3KtVguVSgW/3w8AOO+88/Dxxx9H+jZEREQxyefzob6+Hp9++ik++ugj\n7Nu3b1LDFCfK7Xbj+PHjAICSkhIYDIaI34OIiE5dTk4OVCoVuru74XA4xj1eFEV0d3cDAItjnwEi\nPvYhMTERf/7zn7FgwQLs3LkTBQUFUoEZIiKi05nP58Pnn38uVTgHAKvVOqlhihMhiiIOHz6MYDAI\no9HI4qlERDFMoVAgLy8PJ06cQF1dnRRkh0Ihqe7WyVwuFwKBALRaLTQaTTSaTDMo4hnyp59+GitW\nrMDOnTuRm5uLjo4O/PSnP430bYiIiGJKMBhERUUF+vv7YTAYsGLFChQWFgIAjh07FrGh66Iooqqq\nCl1dXVCpVCguLo7IdYmIaPrMnTsXCoUCVqsVPT09aG1txQcffCCtL36ynp4eAIOJTjr9RSxD3tLS\nMuT/XV1d+PrXvx6pyxMREcUsURTxxRdfoLu7G1qtFqtWrYJGo0EoFILZbIbL5UJzczPy8vIicp/W\n1lbIZDKcddZZUKvVEXoVREQ0XVQqFXJzc1FfX499+/ZhYGAAANDa2oqioiIolUrp2PBw9aSkpKi0\nlWZWxALy66+/HoIgjDhPThAE/OMf/4jUrYiIiGLK8ePHYbFYoFAoUFZWJg0xlMlkKCoqwr59+1BT\nUwOTyTTkj67JqqqqQmtrKxQKBc4++2ykpKRE6iUQEdE0y8/PR2NjIwYGBiCTyaBWq+HxeNDZ2QmT\nySQdxwz5mSViATkLtxERzaza2lo4nU4UFBTwKXoUNTc3o66uDoIgYMWKFYiPjx+yPz09HXPmzIHd\nbofFYkFubu6ErhsKhSCKIuRyOQAgEAigpaUFgiBg1apV/JoTEc0yGo0GhYWF6OjoQFFREXp6elBV\nVQWLxSIF5IFAAL29vRAEgQH5GSLiRd1+9KMfjbj9mWeeGffc48eP44477sANN9yAa665Zsi+3bt3\n47nnnoNcLsf69etx6623oqKiAnfddRfmz58PURSxcOFCPPDAAxF5HUREsSwc3AFAe3s70tLSUFJS\nAl5l1fEAACAASURBVK1WG+WWnVmsViuqqqoADFY6T01NHXaMIAgwmUyw2+3o6OgYNyB3u91oamqC\n2WyGQqHAhg0boFQqYbVaEQqFkJyczGCciGiWys/Pl5aE1mq1OHLkCGw2G/x+P5RKJZxOJ0RRREJC\ngvRAlk5vEQ/IV69eLX3u9/tRXl4+ZAjGaDweD55++mmsXbt2xP1PPPEEXn/9daSlpeHaa6/FBRdc\nAAAoKyvD888/H5nGExHNAg6HAxaLBf+PvTOPjSS77/unqu+L7GY3m/c1PObi3MfO7K60q9XK0jqO\nEMOAIyFBkj8s2JBkBHAQB3AcOwiQGPlDOQBDiRTAfyQIsnAQwPZGXik6dneknZ2ZHc4s5+QxHN7d\nZN/3VdVV+aO3a4bLY0gOucPhvA9R6Gb3q/deV1d31/f9Lr/fT3t7u5HF++7du5w9e/ZZT29PoOs6\nqVQKk8n0xEUKXdfJ5XIkEgkqlQr9/f3I8pNznqbTaUZGRtB1ncHBQbq7u9dt29LSgiRJxGIxVFXF\nbF7985tMJnn48CHhcNgI/1IUhYWFBfr6+giHwwC0tbU9cW4CgUAg2PvYbDb8fj+xWIylpSW6urqE\nu/oLyI4L8t/8zd9c8f9v//Zv87u/+7tP3M9ms/GDH/yAH/7wh6uem5+fx+v1GmVdXnvtNa5cuWJY\nxgUCgeBFoVQqcf36dXRd58CBAxw9epRcLsd7771HPB5H1/VV5VNeRMbHx5mcnDT+z2Qy+P1+urq6\nkGWZTCZDIpEgHo+TSCQol8tGW4vFQm9v74b9F4tFrl27hqqqdHR0cPDgwQ3b22w2vF4vyWSSWCxG\na2srUHNLD4fDTE9PG0l8JEmio6MDt9vN+Pg4s7OzdHd3E4lEAIx9BQKBQPD8097eTiwWIxQK0dXV\nJRK6vYDsuCD/bFmXcDjMzMzME/eTZRmr1brmc7FYjKamJuP/pqYm5ufnGRwcZGpqim9/+9uk02m+\n853v8PLLLz/V/AUCgWAvMzU1RblcxuVyGSW1XC4XdrudUqlEPp/H7XY/41k+W8LhMJOTk0iShMvl\nolgsUqlUuH37NhMTE2iahqIoK/ax2Ww4nU6SySRLS0sbCvJKpcK1a9colUr4/X5Onjy5qUWQlpYW\no//W1lbi8Tg3b96kWCwCtYWAnp4eent7cTgcaJrGzMwM2WyWiYkJVFWlsbERp9P5VMdHIBAIBHuH\n1tZWbt++TTQa5eHDhyQSCUAI8heJHRfkR44cWZFt3ePx8K1vfWtHx6j33dvby3e/+13eeust5ufn\n+Uf/6B/x05/+dE1XwMcZGRnZ0fm8CIhjtn3EsVsfcWy2hqZp3L9/n2q1yuDgIDdv3jSey2azpNNp\nPvrooxULmM8LmUyGQqFAc3OzETNXLpcpl8urkqRtRKlU4sGDB2iaRltbGw0NDXg8Hux2O8vLy8Ri\nMaBWfsblchmb1WqlWq0Si8WIx+PIsozJZCKfz7O8vIzL5cLn85HP5wmHw6iqis1mIxgMrngfNqJY\nLBKLxUilUpRKJSYnJ41+AoEAXq+XQqHAvXv3jH0URSEWixnzNplMz+RzIz6rW0ccs+0jjt32Ecdu\n6+yFY1YsFsnlcnzwwQdA7bt+bGxsz3u87YVjtx/YcUE+Nja2010SDAaJRqPG/8vLywSDQYLBIG+9\n9RYAXV1dBAIBlpeX6ejo2LC/M2fO7Pgc9zMjIyPimG0TcezWRxybrTM3N8fS0hI+nw+Hw7Hi+Pl8\nPu7evUswGOTEiRPPcJZbJ5/P8/7776NpGoVCgbNnzxKNRrl37x6apnHkyBEjZGkjNE3j0qVLNDU1\n0d7ezunTp42LmZGREb70pS+RTqexWq3rWpmr1SrxeJyOjg7a29v55S9/id1uN8Q61OL6/H4/p06d\n2lISPV3XKZfLFAoFCoUCXq+X5uZmXnrppXUvuorFIj//+c+NhegvfOELeDyeTY+5E4jP6tYRx2z7\niGO3fcSx2zp75ZgdPnyY+fl5FEVBVVVaWlr2fL6QvXLsnhc2WrzYcUG+vLzMT37yE7LZ7Ir47u9+\n97vb7rOjo4N8Pk8oFCIYDPL+++/zve99j3feeYfZ2Vm++93vGnGAm7loEwgEzyeVSgVVVQ13Y0mS\n1tzMZvNT1Xreq8zOzgLQ09NjxBPXqbu21WPPnhd0XefWrVtomoYsy2SzWd5///0Vvx+hUGhT3+3T\n09Nks1lcLhcnTpxYJXI3U0Km7kq+tLRkZLutJ91ZWlrCZDJx5MgRurq6tmy5kCSJlpYWpqenyefz\nWK3WJ7q7OxwOWlpaWFpawuVyvfDhCAKBQLAfcTqdT8xFIti/7Lgg/9a3vsXRo0e3LIxHR0f54z/+\nYxKJBCaTibfffpvf+q3forOzkzfffJM//dM/5Q/+4A8A+I3f+A16enoIBAL8s3/2z/jmN7+Jruv8\n63/9r5/ori4QCJ4/FEXhxo0bq0ToRpw9e3bPry5vhVQqRSqVwmq1GpnVH6exsdEQtJVKZd2cHHuN\nxcVFYrEYVquVL3zhC9y7d49wOIzFYmFoaIi7d++ytLREtVrdsPxLqVRiYmICgOHh4W3/FrS2tnL3\n7l0ikYgR233gwAEGBgaoVqvIsvxULoR1QQ5w8uRJ7Hb7E/cZGBggFovR19e3590XBQKBQCAQbI0d\nV69er5c/+7M/2/J+J06c4J133ln3+bNnz/L222+veMzlcvFf/+t/3fJYAoHg+aFQKHDt2jWy2Swm\nkwmbzYbZbDZyVXx2q1arlMtl7t+/T2tr674RMPXkmF1dXWsKU1mW8Xq9JBIJUqkUwWBwU/3qus4n\nn3yCyWTi+PHjOznlJ44bj8eNeOkjR47gdDo5c+YM8Xgcj8eDzWZjYWGBdDpNNBrdMLv4/fv3UVWV\n1tbWTb/2tXA6nTQ2NpJOp0kmkysyru9EPdhAIEBvby9ut3vTC9c+n88IzxIIBAKBQLC/2HFB/uUv\nf5m/+Zu/4dSpUysuXtrb23d6KIFAsE+JRCIsLi5SKpVIp9MoioLH4+H8+fNPzDCtaRrvv/8++Xye\n+fn5DWtDbwZd15mdncXtdhMIBIwxLl++jNls5vz585uqWf00hMNhFhYWgJq7+nr4fD4SiQSJRGLT\nojSfzxt9HzlyZFe9jHRdN2qoh8Nho9SY3++ns7MTqLl1148z1H470uk04XB4TUGuKArz8/MsLCwg\nyzJHjx596nm2traSTqeBWvLQnTwmkiRx7NixHetPIBAIBALB882OX3lNTk7yzjvvrIjTkySJ999/\nf6eHEggE+5C6xfbxutDNzc2cOXNmU3Hhsixz8OBBbty4wcTEBJ2dnU8lmOPxOLdv38ZsNvPlL38Z\nq9XKwsKCEas9MTHBoUOHtt3/k1haWmJkZARd1xkaGsLlcq3btqmpiampqS3FkcfjceN+oVDYUkbz\nzVAX4eFwmFAotOJ9dblctLe3c+DAgXU9Gdra2rh///4Kt3Vd14nFYszPzxMOh41ymwMDAztSEqy1\ntZXx8XFMJhN9fX1P3Z9AIBAIBALBeuy4IB8dHeXjjz9+buIXBQLB3qJe6spisXDmzBnsdjtut3tL\nruft7e1MTk6SzWYZGxvD5XJRqVTo7u7GZrNtaT5zc3MAqKrKw4cPOXjwIFNTU8bzDx48IBgM7kqp\nsUgkYojx/v5+hoaGNmz/eGI3Xdc3dcx2Q5Druk4ymTQs4aVSyXjO6XTS3t5Oe3s7DQ0NT5yjy+Uy\nXMjn5uaoVCrMz88b8d2SJNHc3Ex3d/eO5QxoaGjg5MmT2Gy2LZ8vAoFAIBAIBFthxwX58PAw5XJZ\nCHKBQLAtMpkMUBNFzc3N2+pDkiQOHTrExx9/vEI8VyqVLbk0K4rC0tKS8f/09DQOh4NcLofT6aSt\nrY2pqSlu3rzJF7/4xQ0t+Pl8nuvXr9Pd3b0pq2s0GuXjjz9G0zQOHDjA4cOHnyhebTYbLpfLqJ29\nUcw1YFia6xQKhSfO60n9RSIRxsfHDZdveCTC29raaGxs3HJcf91t/c6dOyv67Orqoqura0ulxzZL\nV1fXjvcpEAgEAoFA8Fl2pezZG2+8QX9//4oY8v/5P//nTg8lEAj2IXUh19jY+FT9tLS00NvbSzab\nxWw2s7y8vEJ8boZQKES1WiUQCCBJEtFolNu3bwO1zNs9PT1Eo1EymQzvvfceAwMD9PT0rJn86969\ne2QyGSYmJujp6dnQjT4WixlivLe3lyNHjmxaxPb09HDv3j1u3bqF1+vdMIt3Pp9f4UJetzpvB03T\n+Pjjj43s7zabjc7OTtrb27clwh+n7vGg6zptbW10dXXh9/v3TcI+gUAgEAgELy47Lsh/7/d+b6e7\nFAgELxCPW8ifhseTZ1WrVX784x+TzWZRFGXTNcrn5+eBmrXU5XIRjUbRdR2r1Up3dzeyLHP27Flu\n3LhBKpXi7t27TE1NMTg4aDwPNYFdt7RXKhUikci61ut4PM61a9eoVqv09PQwPDy8JeF54MABotEo\n0WiUmzdvcuHChXX3r7urm81mVFV9Kgt5PB4nEokY5crWW5jYDk6nkzfeeAOTySRKWwoEAoFAINhX\n7Hhq4Gq1uuYmEAgEm2GnBPnjmEwmvF6vkWBsM2SzWZLJJGazmba2Nnw+n5G5vK+vzxCbLpeLV199\nlXPnztHQ0ECpVOL27du89957zM3NoWmaUdqrnpCtntX8syQSCUOMd3d3c+zYsS1bgSVJMuKfY7EY\nDx48WLdt3WOgXgXjaQR5NBoFahb6AwcO7JgYr1MvdycQCAQCgUCwn9jxq5vvf//7xn1FUXjw4AGn\nT5/m4sWLOz2UQCB4jlBVlXv37mG32xkcHFyzTbVaJZ/PI0kSbrd7R8f3+/0kEgni8fim6j/X6353\ndHQY4vLUqVMsLS0ZJbrqSJJEa2srLS0thMNhJiYmyGazjI6OMjY2RrlcxuFw8NJLL/Hee++xvLxM\npVJZkWsjlUpx9epVVFWls7OT48ePb9sl2263c/LkSa5evcr4+DiBQMBI+FanXgccah4Ac3NzFAqF\nTSeD+yx1Qf54yTKBQCAQCAQCwcbsuCD/H//jf6z4Px6P873vfW+nhxEIBM8Rqqpy9epVwzqdzWaN\nUlWPk81m0XUdj8ez4xZWv9/P5OTkiqzi6zE/P8/MzAySJK2oY153VV8PSZKM5GWLi4tMTEyQz+cB\nOHToEC6Xi+bmZiKRCKFQiN7eXqAWf33z5k1UVaWjo4OTJ08+dXx0MBikv7+fqakpbty4sSrpXC6X\no1wuY7PZ8Pl8htu6oihbTspZLpfJZDKYTKZdyTYvEAgEAoFAsF/ZcZf1z+L3+3n48OFuDyMQCPYo\niqLw0UcfkUgksNvtmM1mQqEQMzMzqKq6ou1OJXRbC5/PhyRJpNPpVeM+TjQaZXR0FICjR4/i9Xq3\nPJYkSXR2dvL6669z6tQphoeH6ejoADCs6/X4dKhlb8/lcrhcrh0R43UOHTqE1+ulUChw69YtdF03\nnqsvTNQT1tXrd2/Hbb3u+t7U1LTjCykCgUAgEAgE+5kdt5D/83/+z1dcTIbD4Q2zCQsEgv3NrVu3\nSKVSOJ1OLl68iKIoXL16lVgsxpUrVzh//rxhkd2N+PE6ZrOZxsZGUqkUyWRyzZJq6XSa69evG3W/\nN1OebCNkWV7l3t7a2orZbCaVSjE7O0tLSwsTExNArWzkTn5fyrLM6dOnuXTpEqFQiEAgQE9PD6qq\nGuXg6sfB6XSSyWQoFotbXoSou6tvt0ydQCAQCAQCwYvKjgvyl19+2bhfjwN95ZVXdnoYgUDwHJDJ\nZAiFQsiyzMWLFw0r7CuvvMJf/dVfkUwmuXz5Mi+99BIOh2NXBTnUPHZSqRTxeHyVeCwWi1y7ds1w\nGz98+PCuzMFkMnHgwAEmJia4desWNpsNVVVpaWkxksbtJC6Xi2PHjnHz5k3u3r1LU1OTES/e2Nho\nLBjUa3lv1UKu67qIHxcIBAKBQCDYJjsqyOfn5/nN3/xN4/9iscjy8rJxoScQCF4s6pbf3t5eQ4xD\nTST29/dTKpXIZrN8+OGHXLhw4XMR5FNTU6syrdet9qVSCb/fv6Nu42tx8OBB3G43t2/fplwuI8sy\nR48e3bXxOjs7icVizM/Pc+3aNYrFIpIkceLECeN1btdlPZfLUSqVsNlsu/a+CQQCgUAgEOxXdsw3\n8qOPPuKb3/wm2WzWeGx+fp7f+Z3f4c6dOzs1jEAg2INUq9UV8clQc/8Oh8OYTCb6+/tX7WOxWHj5\n5ZdpamqiWCzyy1/+ElVVsdls2Gy2XZlnU1MTkiSRTCYN4alpGh9//DHZbBaPx8O5c+c+lzCbjo4O\nXn/9dXp7ezl16pRREm23GB4exu12G5nUDxw4sCJWf7uCvB4/Xo9FFwgEAoFAIBBsnh276vzzP/9z\n/uIv/gKPx2M8NjQ0xH/5L/+F//Sf/tNODSMQCPYQuq7z4MEDfvzjH/Pee+8xMTFBOp0mnU4zNjYG\n1OpS2+32Nfe3Wq1cuHCBYDBoJFrbTSurxWIhGAyiaRpXr16lUqnwySefEI/HsdvtvPTSSysyke82\ndrudY8eOGXXAdxOz2czp06cxmUy4XC6GhoZWPF8X5MVicUv9Li8vAyJ+XCAQCAQCgWA77JjLuq7r\nqy7wAAYHBymXyzs1jOAFRtM0FhYW8Pl8KxZ+BM+GYrHIzZs3jWzd+Xye8fFxxsfHjTYmk4mBgYEN\n+zGZTJw7d47R0VEWFhbw+/27Ou9Tp05x+fJlMpkM7733HpVKBbPZzPnz5/d9eE1jYyNvvPEGJpMJ\ns3nl1//jFvLN1iIvFArEYjFkWd5UbXeBQCAQCAQCwUp2TJBv5OaYSqV2ahjB58DMzAwzMzOcOXNm\nTwnfyclJIya5ra2NoaEhEbP6jFhcXOT27dsoioLNZjNirufn50mn08iyjMlkoru7e1Pu57Isc/Lk\nSQYGBnC73bs6d4vFwksvvcSvfvUrI5b67Nmzu1JqbS+ynreC2WzGarVSqVSoVCqbet/m5+fRdZ32\n9vYt1y4XCAQCgUAgEOygIB8cHOR//a//xTe/+c0Vj/+3//bfOHHixE4NI9hl0uk0d+7cQdd1RkdH\n90yG/EqlYtSzl2WZcDjM8vIyr7766qaFlKqqxGIxIpEIuVyO4eHhF17Qa5pGqVSiVCqhaRp+v3+F\nZfSzllJFUbhz5w4LCwtArYTX8ePHDfH2NG7LkiR9bgtAdff0+/fv09XVJdytP8XhcFCpVCgUCk8U\n5LquMzc3B9TCEgQCgUAgEAgEW2fHBPkf/uEf8p3vfIe//uu/Znh4GE3TuHHjBm63mx/84Ac7NYxg\nF9E0jZs3bxrJuZLJJLOzs7sylq7rLC8v43K5NiXCpqamUFWV5uZmTp48yd27dwmFQty6dYtXX311\nTfdaXdfJ5/NEIhEikQjxeBxN01b0eerUqR19XXsNTdNIp9OUSiWKxaKx1f8vl8srkrGdOHGC7u5u\nAEKhEDdu3KCtrY1Dhw5RLpe5efMmhUIBk8nE0aNH6e7ufm4TeXk8Hs6fP/+sp7GncDqdpNNpCoUC\nPp9vw7aRSIRSqYTL5aKpqelzmqFAIBAIBALB/mLHBHlzczN/+Zd/yUcffcTk5CQmk4m33nqLc+fO\n7dQQgm2gqiqLi4tomobFYsFkMiHLMpIkrbpdXFwkm80aCZ9u3rzJ/fv38Xq9OzonTdO4ffs2c3Nz\nWCwWXn/99XXdaAHK5TLT09MAHDp0CLvdzokTJ0gmk6RSKaanpzlw4ABQy/Zdt4JHIpEVoRSSJOHz\n+WhqamJqaorl5WU0TftcMmo/C3Rd58qVK0aM91pIkoTdbsdisZDNZpmenqarqwuAsbExdF0nFAqx\ntLSEruvouo7X6+XUqVO77lou+PzZSqb1+mJdT0/Pc7soIxC8KGTLWaYSU8iSzMHAQWzmzVeyKKtl\nwtkw6VIan8NH0BXEbDKTr+RRqgpNziZkaX/+jgoEAsHnwY7WIQe4ePEiFy9e3OluBdugXC5z9epV\n0un0pveRJImTJ0/S1NREOBxmaWmJUCi0I/PRdZ1yuczo6CiRSAR45AJ99uzZdfd78OAB1WqVlpYW\nY3HAbDZz7Ngxrl27xvj4OLquE4vFiMViK6zgVquVYDBIMBikubnZiHONRqNkMhlisRjBYHBHXt9e\nY3l5mXg8jtlsJhAI4HA4cDgc2O1249ZutyPLMpqm8bOf/YxMJkMikUBVVfL5PE6nE7/fb7ioDw4O\nMjQ0tG8XMV506t4qn63T/lkymQyRSARZluns7Pw8piYQvNCU1TLTyWlmk7PklTyVagWlqqBqKlWt\nSlWrouq1+6qmoum130G72Y6OzlJ2yejLZXXxWt9rDPoHkSUZTdfIlrNkK9na7We2eDG+qqzl4/id\nfr4y8BWGW4ap6lVSxRSpUm1LFpOkiimy5Sxeh5dB/yD9Tf04rc5dP2YCwVbQdZ1QJsRseha72U6L\nq4WgO4jF9PlVXlmLSrWCLMmYJJNY/N7H7LggF+wNcrkcV69epVAo4HK5aG5uRlEUqtUqmqah6/qq\nW13X6erqMtxPh4eHDZEbDodpa2vb0hyKxSJLS0tks1ljUxQFqAnl48eP88knnxAOh9ftX9M0I071\n4MGDK55raWmhra2NcDjMvXv3jMe9Xq8hwr1e75pfYG1tbWQyGUKh0L4U5LquG2XHDh06RF9f34bt\nZVmmp6eHiYkJpqenqVQqAPT19XHgwAEGBgbQNO2Fj7nf7wSDQSRJIhaLoarqqkzsUMszceXKFXRd\np7Ozc9dqxgsEzwuqplJUiqiait1sx25e3+Nrs4xHx7k8d5lsOUtJLZEtZw2R/bTkK3n+dvxvd6Qv\ngHghztu33sZhcVBSSxuK95HFEQAcFgeNtka6vd282vsqfufuVtcQCB5HqSrMJGeYTc1ya+kWd27c\nYTGzSL6SX9FOkiSaHE20ultp8bTQ4q5tfqf/qb1CdF0nVUqxmFlkMb3IfHqeSrXC4eBhXu5+mVg+\nxrsT7zKdrHmIypKMxWTBIluwmq1YTVasshW/088X+75I0L3/rmVfJIQg34ckk0muXbtGpVLB6/Vy\n/vz5bV00OxwODh06xNLSEnfu3CEQCGy6RrOu61y9epVsNrvicYvFgtfr5dixY7hcLsrlMrdv3+b2\n7dv4/f5VmZpTqRSqquLxeNZM3jY8PIyqqoYlvLm5eVOvta2tjfHx8X3rtl4PP3A6nZtOuNXT08Pk\n5KThnm42mw33deGe/mJgs9nwer0kk0mi0eiqRbJUKsWVK1dQFIVgMMixY8ee0UwFgs0xEZvgRugG\nuq4TcAUIOAP4nX6aXc04LGuXOdR1nUg+QrKYJFlMkqvkKCpFSmqpdquUKKklCkqBslpG0ZQV+0uS\nhDlnpvNgJy3urZUDVKoK7068y9X5q9t+zWshSzLd3m6SxSTp0ua95qD2eoKuIE2OJpLFJNF8FA0N\nl8WFoimU1Vpp26JS3HSfRaVIUSmylFvi+uJ1jrYcxWF2UFSLTC1MMaqPolQVKloFtaqiaApKVUFH\n50DTAV7ve532hvYtvQ7Bi4Wu66RLaWKFGNF8lHghTracJVPOEM6Ejc9tLB0jYAms20e8ECdeiHM3\nctd43CybaXY1GwK92dWMSTYBYDPb8Nl9eGweSmqJVClFppQhXUqTKqVIl9KkS2ki+ciqBQCAxcwi\nv5z5pfG5qqPpGmW1TJkyVB49PpeeY3RplC/0foEv9H5h3e81wd5GCPJ9xvLyMiMjI1SrVYLBIGfO\nnFnTyrVZent7cTqdlEolxsbGNn0BXreM2+12+vv78Xg8eDwebDbbCot1T08PoVCIeDzOvXv3OHny\n5Ip+YrEYAIHA2l+WdrudCxcubPl11eeTzWaJx+P7Ksu2pmlGLfCtuJfb7Xba2tqMEIXu7u5NL8AI\n9g8tLS0kk0mWl5dXCPJEIsHVq1dRVZW2tjZOnz697xayBM8Xn60C8TjxQpx3x9/lfvT+uvu7LC78\nrpo4P9x8mKHAEAuZBd65/w7hbPip5hUuhvn+le/z+oHXaXY1U6gUKKklytVy7aJaLRv3K2qFcrVs\nCP5KtbKqT0mSaHW30t/UT8AVwGayYTFZMMkmzLK5diuZkWUZi2wxXNHrCwYt7hYcFgeqpvLxwsfc\nCt+iqBap6lUkJDw2T22zeh7d/3Tz2r0rYs7rlnpZkikqRS5NX+Ly3GVUTUWSJBpsDXjtXnwOH16H\nF5/dh9vmZjGzyERsgnAmTFWvrujv9tJt4/9YPkYhsX4ei7vLd7m7fJfOxlq4TFWrcjh4mNf7XjdE\n0YuOruvGYkm+kidTzpCr5NB0DQkJk2zCbrZjM9mwmWub3WzHZrZhlndPGqiausL1OllMMhGboKyW\n8Tl8NDma8Dl8OCyONT/bmq4xn57nQfwB2XKWQqWAoinGvuVqmWg+SiwfI1aIoVSVVX1shMvqYsA/\ngKqpLGeX1w3XUDWVcDa84feEJEkbeotsxONiXJIkZOQVn5nPoukaH0x/wAfTH+CxeWhxtzDcMsxw\ny7AQ6J8z9RCgTClDpvzpVsqQLWfpY31vVSHI9xELCwt88sknhuv58ePHn/qCWZIkOjo6SKVSzM7O\n1i4KWltXlcd6HF3XjXrhg4OD9Pb2btj/8ePH+eCDD5ifn6e9vX2FC/mTBPnT0NraSjabJRwO7ytB\nPjc3R6FQwOPxbDm+t6+vj1AohCRJT3RzF+xPWltbGRsbY3l52RA88Xica9euoaoqHR0dnDx5Uohx\nwa5SVsvcDN0kXojXrKlq0bBSF5QCJaVEVa9yoOkAX+j9Av1N/QBE81EuTV9idGn0iS7eeSVPPpVn\nLjXHyOIIDotjS1beOrIk47A4MMvmmuj+9GJa1VR+9uBnW3/xn3K4+TBv9L+Bw+LAaXFuKRHbephl\nMxe7L3Kxe/u5fh531XVYHHx16Kt8qf9L5Ct5PDbPuoLuUPMhvtz/5VoFFCXPUnaJS9OXmEpMSUKR\nOQAAIABJREFUbWseC+kF4344G2YhvcA3jn9jR47TXqOklAhlQ8TyMUpqydjKannF/7MLs/w482NK\namnbIQ5m2UyjvZGOhg46Gzs5EjyCz1GrujGfmmc6OU2DvYFB/yAuq2vFvrquo+kaqqZSUApMxia5\nG7lLKBOirJap6lUssgWfw4csyytyGzyOzWyjydFEk6OJRnsjlWqFbDnLQnqBvLLaqrwdAs4Ag4FB\nkqYkZ4+dpdHeSJunbWWp16pCNB9lKbdEJBdhKbfEcnaZTDnzxP43I8ZtZhudDZ3GsS6qRT6Y/oBE\noZbH5XDzYb429DUCrgBVrWrkjqhUK1SqFfKVPL94+AvmUnNGn/XcDw/iD/i/Y/+XocAQB5sPMugf\nxG11i0WrXUCpKvxq9leMLI6QKqXWfe/7/EKQ73vm5+cZHR1F13UGBwc5ePDgjiV/cDgcBINBxsfH\nmZ6eZnp6GovFQlNTE4FAgEAggMfjMcaLRCJkMhnsdrvh8rwRbrebgwcPcv/+fW7dusXrr7+O2WxG\nVVWSySSSJOH373x8WXt7u+GifezYsX2RLENVVWMxZDvngM/n49ChQ1itViPjtuDFwu1243Q6KRQK\nJJNJVFXl+vXrVKtVurq6OHHixL74rAj2Jrqu80n4E34y+ROy5ewT2z+IP+BB/AEuq4uKWlnlPg5w\nuv00fU19xAtxw3U1no+vavu4GLfIFnqbevHavTTYGnBYHNjN9hW3DrMDm9mG1WRd8ZmI5CL855/8\n520fA5fFxZsDb3Ku89xz81mzmqxYHdYnN6S2EO+2uhnwDzDgH2AuNcdsahaLbMFhcfBg4gEnhk8Y\n8bL1W7PJTKaU4dLMJe4s31l10TsRm+CHH/+QrsYuw81d1VRUTTUS4KmaSqVaoapVkaVPK81IspE0\ny2V10WBrwOf00e5pp6OhA4/Ns+33Qdd1QzxJkoRJMtXGkk0rLMX1RYpcOWcI6VQpxYP4A6biU8QK\nsU2Nl1Wy2JSnW5BQNdVw0761dIt3J95lyD9EuVpmJjljtJMkCa/dWxPg9bACTXmiEFU0hUg+smGb\nemb/p/FUAXBanARcAZpdzQScARrtjXhsHpocTXgdtSTBI/kRDgcPr7m/xWShvaF9VXhEoVJgOb/M\ncnaZSD5CopgwXndRKZIsJikoBSwmC422RrwOL432xkebrRGfw4ffudq4dbr9NJOxSVxWl+EFAmCS\nTThkxyqL94B/gJHFET6a/4hYPoaqqcZzqqZyL3KPe5FHeZYsssXwiLBb7IZnRFktEy/EyVVyNW8c\nfz/djd002Bvw2Dy4LK7n5vvo80LXde5G7vLjiR+TLCafqi8hyJ9zdF1nbm6O27dvo+s6hw4dYnBw\ncMfHGRoaIhgMGpnXc7kcy8vLLC8vA7UkbX6/n0AgwPz8PAD9/f2YTJtbievv7ycUCpFOpxkbG2N4\neJhkMommaXi93l1xnfZ4PFitVsrlMuVyecPSa88L09PTlMtlvF4vra2tW95fkqRdOX8Ezw91L5iH\nDx8yNjZmfA57enr2zcKVYO+Rr+T5JPwJNxZvsJRb22r2pP0/S5+vj68NfW3FRW2dx+NLpxJTfBL6\nxLB6HW05yltDbxlWwa0SdAf5ez1/j0pzhcn4pCE06wLe2Exr3DfZsFvsL1QZsW5vN93ebuN/NaQy\n4B9Ys63b6uYbx79BspgkXohjNVkZi47xwfQHACxll9a1um4XSZKwmqy19+ZT8VJ/rywmS034Vz8V\n/p/Guj9uvd7IUl0X6Zqu7VjSvjpm2YzNbMNhdhhC1CSb0HXdWJh43NK+3nx1XWc8Nr6qf13XtyxC\n6qEUdUySiQP+A/idflLFWlb+RDGxoau52+rmcPAwbZ42XFYXEhKpUso4Hx4X4J+14O8UTquTPmsf\nfb71LZ5KVcEsm7f8mylLMgebDz654adIksTZzrOc7TyLpmskCgnGY+PcDN1cc0FD0RSUikKuklu3\nz/n0PPPp+RWPWU1WmpxNNNoajUWsucU5Ji2TtcUtJCRJQtM1lKqC1WTlfNd5eryby2P0vBHOhvnR\n2I+MpHuPU1/Ya7Q30mBroMHWgMfugQ2+moQgf47J5/PcuXPHKCF25MgR+vv7d208r9eL1+vl8OHD\nFItFYrEY8XicWCxGsVg0sqVDLTlUd3f3E3p8RL3c2qVLl5iZmaG9vX1X3dXrY7pcLiqVCoVC4bkX\n5IqiMDVVc/07dOiQEE6CbdPS0sLDhw+NGvZ9fX0cPXpUnFOCHaOslrkXucfDxEMWM4tE8pFVljWP\nzcNLXS/hsXlwmGtu23aLvXZrtpOv5PnV7K+4sXjDsHZbZAv9/n6+2PfFDS8EJUnC6/DidXgZ8A/w\nlYGvMJuaxWay7UiyMFmSeaXnFV7peeWp+xKsxufwGQsm3d5uvHYvfzP2N9uO2d0IXdcNwboZV+Wt\n9q3q6hPbyZJMi7vFEKGGhfPTBYL6/bG7Y5w/cx672b6tWPC6RT+aj7KQXuB+9D4P4g9WzONI8AiZ\ncob59Pyax1uWZMyyGYtsIegOcrTlKAcDB2mwN2CSTJTVMoligqJSpL2hfZXFV9d1cpWcUTIvVUph\nM9uMfAafdSvfqzyLcmmyJNeSV7oCvNLzCrF8jLHoGOOxccLZ8BOrIGxEpVpZteAVy8XILq3vyXRr\n6RZfHfwqr/S8QqVaIV1K0+xq3tb7l6vkUKuq4ZX0rFzv44U47z98n5vhmyuOpdPi5CsDX+F0x+l1\nP3sjSyPr9isE+XOIqqo8ePCAqakpNE3DYrFw5MiRLQngp8XhcNDV1UVXVxe6rlMoFAyBnk6nGRwc\n3HIyuYaGBgYGBpicnGR0dNSIUd0Nd/U6TqeTZDJJoVAwyr09jxSLRSYmJlAUxQgjEAi2S1NTExaL\nBUVRGBgYeK4WeNKlNPPpeUKZEMli0khuU1ALfDj7IZPxScyS2Ug4VU8i5HP4diT2tH5BW4+X1HSt\nFi+5zy2euq4b5bnSpTRFtVYG7PEM2XVLYqacYSw6tmbyMqiJ6ovdF3n9wOsbvic2s42vH/46Xxv6\nGrlyDpfVtcp9fLPIkryhtUuwtznfdZ5eXy9TiSlMkgmTbHrk6i6bMZvMj+7LZiwmi2GVfjzuuR5/\nG8lHWMwsEs6GV2W73ir1MlW6rte+EzTN+G54HIfFgcfqMYSGxWSh19fLoH+QrsauTQm8sDWM27r9\nqiiSJNXimhs76Wzs5EL3BWL5GDfDNwE413HOcPUuKkVylZxxPOvH90lCyW6x025Zf9FLkh4lGXzc\nc0KwdQKuAK+6XuXV3leBlb9Pj+ceKKmlmgXc0YTD4mA2NctUfMrITJ8up7f1OdB0jXcn3uXD2Q+N\nxazOxk7+/rG/T5Nz42tuTdeI5qNMxCa4vXSbxcziiufNshmbyYbT6lwZDvBpSECjvRGHxUEoE2Iu\nPUeqmDJCV1rcLRwJHqGzsXNTvxe6rjOfnufawjVGwyvzk8iSzIWuC0a+j+0iBPlzhK7rLC0tcffu\nXYrFWqxbV1cXhw8ffqa1gOuWZpfLtekSW+sxODhIOBwml6u50siyvKtCuR4nXSisn9F1L5NOp7lx\n44ZxvEBYxwVPjyzLnD9/nlKpRFvb3rRG1AVgvYRMOBvmXuTeqh9tgJ8++CmxWIxAeuOFKqfFScAZ\n4FjbMc60n8FmtqFqKnOpOW4v3WYsOoaqqbR6Wml1t1LVqxSUAoVKgbySp1ApUFSKq2KTPTYPXxv6\nGidan+/4e13XieajTMYnWUgvGCV81ssMvhUkSaKroYvTHac51nIMu2XzHkt1V0rBi03QHdyVWsxG\nuanHMuPX3bxVTcUkm7CarIYYtcrWmtX60/jc9axl9YWAql41rMp7kYArwFcGvrLqcYdldTyzYG9T\nX3CxmW000LBuu3qG9jq6rlNQCsQLcfKVfG0hC5179+5x6NAhNDRjgau+6PXhzIfMpWvJ5h73LFlI\nL/D9q9/nzf43MctmimqRglIwSiEWlSJ5Jb8qHv6z1HNC5JU80Xx0S8dhPDbOpZlLNNgaONZ6jJNt\nJ2mwN5Cv1PI45CqfbuUc2UqWxfTimnkPBgOD/PrQr+/I987e/PQLVpHNZrl79y7RaO2ka2xs5Nix\nY/h824tx26uYTCZOnDjB5cuX0XUdn8/3VGXbnsTzLshnZ2fJ5XKYzWb8fj9dXV377pwQPBt2eiGs\nLqA/myG4Uq3Q6m6l2VWrdLCYWWQ8No4syfgdfhwWB5lyxhDe6XKadLFWz/VpReBnKSgF5tJzzKXn\n+NmDn+Gz+4jkI6ssWQ8TD3mYeLjpfrPlLP/79v/m44WPGW4ZptXdikk2kavkKFQKlKtlI3Pu4xl0\nlaqCSTbhtddcq/ub+ndFcEDNHfDD2Q8JZUJUtSpVrYqqq1S1KvOL87xXeI+yWqag7Nx3ZdAV5ETb\nCXp8PbR72vdldmzB8089i/5Oi896/LgJkfVasLeRJAmX1bUqJr+8UOZ42/E19znUfIi/Hf9brs5f\nBR5VZ9B0jaJS5J2xd7Y0h3rSxXK1dt2wE+EpmXKGD2c/5MPZD7e0X39TP1/q/9KOelUJQf4cMDs7\nayRts1gsHD58mO7u7ufa0rIRTU1N9PX18fDhQ1paWnZ1rOddkNcXaC5evIjX633GsxG8iNTrtS7l\nlljOLZOv5I16ymW1TFGtlap60g+o3+nHLJtZzi0/1XxMkokeXw+dDZ002huZSkwxEatVHjjQdIAT\nrSewmq1GfGKimCBZTJIupVesxpfV8raSi0HNla5uGasvPgDMJGdWZCneDt2N3RxpOYIsyVS1KibZ\nZMSQuqwuo470Rq7bdUt3vTxLOBvm0syldV0SM0oGa/HJGbStJisem4cGWwNOqxOrbH3kKvzpbd21\ntauxi/aG9n37OyYQCAQvMmbZzNcPf53znecNN/Gl7BJv33qbVCm1qT4a7Y20e9o5HDzMkeARY1FM\n13UUTaGslslVco8W7B/bUqUUBaVAwBmgx9tDq6cVm9mGpmtMxiYZi45taYHZarJyrPUYZzvO7koo\nhRDke5xKpcK9e/fQdZ2enh6jJNV+58iRI7S1te26yNxLgrxQKRDKhnBanLR6Wp8Yc1ooFCgUClgs\nFhobGz+nWQqeJ8pqmeXcMsu5ZaN+aiQXoaJVDLcyt9VtZAL12Dw4LA6SxSSRfISyUq4JKNMjIWU1\nW7HKNbG3mFlkNjm7ZqmprRIvxLe8j0W20Gh/VFLmQNMBDgYOrrBkXei+gFJVGLkxwoWzF9btS9d1\nMuUM49FxPpz9cEWZoSZnE0OBIYZbhvHavYQyIaL5KDazDafF+Wiz1m4fF8Nltcwvpn7B5bnLO5JF\nuW7BfxIW2YLb5sZt/XSzuXFZXei6zr3IvS27+NWxmW0MNA3Q7+8n4AzgdXhxW91YTJZ9HycvEAgE\ngq3R6nlU8afL28V3LnyHX83+ikguYnieOCy1pJ31ahROi5MmZ9O6Xin1ygf1ReA2T9uW5nS89Tia\nrvEg/oDR8CjjsXF0XTd+Kx+/rS9y9/p6d9WLSwjyPc7U1BSqqhIMBjl+fG23kP2IJEmfS5I1h8OB\nJEmUSiU0TTMSyX1eZMtZrs5f5X70Psu5ZcOCaDPb6GzoNCxNTosTl9VlXPS7LC5CoRAJJYGvwcd0\ncrr2ZWJzE3QFhdXpBSBdSfP/Jv8fJbXEUGCIQf8gmXKGO8t3mE3OspRb2rAkTb2sTLacfepar5tl\nrczAULMc193PLbKF4ZZhnFYniUKCkloysus+nrTFa/fisDg2da7XFxM2QpIkGu2NnO86z7nOc4Qy\nIVRdpdXduupHeCvlsGxmG28dfItznecYi46xlFsikqvFormtbiNjssVkMS4w6gsfFrlWUilVTBHK\nhBiLjlHVq5saV9EUksXklsoSBZwBvtT/JRpsDZhkE2bJjCzL3Ltzj1MnTtUWcGxuIbwFAoFAsC2c\nVie/Nvhrz3oayJLMUGCIocDQs54KIAT5nqZcLjMzMwPAwYObr0m421S1Kjr6nk1AUqdea1PVVCOz\notvmxmp65GEgSRIOh8OwNrvd289OqlQVEsUEmVKmVvvT4qCgFlA1dcWxqmpV5lJz3AzfZDQ8umbS\nirJaZioxteF4sViMfD5Pk97E1etXjcebXc2cbDuJx+YxXGXrbqQNtgYa7A17/r17HsiWa6U+3Fb3\nlhdAcpUcyUISjVqGX6elliX0SauvSlVhIjbByOIIH05/SCBbS1J2df4qNrPtqbMBbxefw0d7Qztt\n7ja8Du8K0e2wOIz76wk5paownZxGqSr0N/VvKaHXbiBJEh2NHTvaZz3b7dOQq+S4tXSLWD5mZJJW\nNIWKWqklwqnkyVay5Mq5J3otWE1Wuhq7kGUZs2RmKDDEmY4za2ZIDllDImmaQCAQCAS7hLgq32Ms\nLS0RjUZpaWkhGo2iqiotLS074rpdVstky1kkSUKWZEySybgvSzISEslSkmg+SrqURtd1dHQm45Nk\nHmYoKkXmU/OEsiFUTcVj8xjlgnwOHz67b8X/u2ml1XSNhfQC47FxphPTRmbjugCvl9r5LBbZwsn2\nk7zc/bKRHMnpdJLP51lOLaNbdCPOcaPSHUWlyOW5yzyIP6CklCiqtfIfn42RjcVi/Dj9Y6wmq+GK\nkyqlDKH8OLIk0+ppJVfObarWaalU6+Oz9dOj+Sg/ffDTDfd1WVx47DWRXndXtpltZMtZUqUUEhI+\nh48mZxPtnvZNudB/3mi69ijDdSVvZLmu3xaU2n2LbKHZ1UyTo4lUKUUkHyFdStf2qeQBjOy4Ztls\nCB2zbEaSJCPBlcVkwWPzIFFz1a6/R06Lk4ArYLgq1927rbLVsHpqumaUgwplQ+taLW1m26PzTzJh\nNpkN13KTZGIxs7jmuQOsKcZlSabZ1UyLu4UWdwutnlZa3C04LU6qWpVKtUK2nCVTzhhboVLAa/fS\n7G7GY/PUylV9ulWqFSpaxVjg8tq9HGg6sCWL8VpYTJY9s0q9l3Fb3bzc/fIT29VL22TLWfJKLWts\n/X5ZLdPt7WYoMLRicVIgEAgEAsGzYU8J8rGxMX7/93+ff/JP/gn/4B/8gxXPXb58mf/4H/8jJpOJ\nL37xi3z7298G4M/+7M8YHR1FkiT+6I/+iGPHju36POuiaycFp6ZrjEfH+e/v/XfixTgSNaHsNXv5\nu4f/LiWltGWrUV2AL+eWGV0aZTw6vmEJgfWIxWJMM73q8Xq9zrnU6nhGj83DkeARBv2Dhrhocbfg\ntDrXHEPXddKlNNF8lGghSiwfI1fJccB3gDMdZ5AlmU/CnzAaHiVRTJAupbcVj6loCh8vfMzHCx/T\nYGsg4AqwEFlgJjrDz6/9fIWFXJZkLKZaXU2rqVbGJOAM4LK6GA2PriuM1qKeNTlNetVzXY1dvNzz\nMgcDB7GZbei6bsTw5iv5VWWV8kqeZC6JU3Jid9gZaB4wxPJiZnFTmafzSk3ALmU3l7TKarLS0dBB\nt7ebbm83nY2d69Y61XWdVClVi1vOLhkC2GaqlYExy2ZkSWZ2eZbQWAgZ2VgYenyBqKJWSJVS5Co5\ngq4gR1uO4rQ4uRm6yZ3lO5tatNgsT5Otu6AU1vwMbIeyWqbM5q3cBwMHCbqDjIZHyZQzmCQT/f5+\njrYcpaOhg2ZX84beEE6cRk1Zwf7h8dI2ATYu9SYQCAQCgeDZsmcEebFY5N//+3/PK6+8subz//bf\n/lv+4i/+gmAwyD/8h/+Qr371qyQSCWZnZ3n77beZmpriX/7Lf8nbb7+9K/NTFIVYLEYkEiESiaBp\nGhcvXsRkN1FWy7UC9Z9eAK2FruvkKjlDxGYrWeN+rpwjlA0Rz8eZz80jSRJmsxlFUdBsGj96+CN+\n9PBHRgKhx5Mf1JMJqZr6yNJVypCtZHfVfVWSpA0zJtdjo+vlDqBmnT7TeYZzHecMS2E0HzW2ekzr\n49xdvst7D9/DYrJsKRayjlk2GwsCkiQZbsaAYRFMV9IouoKirBzfqD1KmTw1S+pGAlaSpFp5IrsX\nRVMoKkWycnbNY+W1eznYfJBjrcfo9fauWNyRJIkmZ9OGLqIPHz7kbv4unZ2dnDp1yni8rJa5H73P\nZGwSCQmbpSbwc+Uc6XKaTClDrpLb8mJGpVphOjnNdPLRwozf6ae7sSbO2xvaCWVC3I/eZz49v6lz\nL5aKEZlbXddxLWaSM1xbuLalOe829cRd2/mcWWQLAVfAiGvOK/lVWb7Xw+fwcaLtBCaPiTdOvwHA\nrw3+GolCApfVJerCCgQCgUAgEDxH7BlBbrPZ+MEPfsAPf/jDVc/Nz8/j9XqNElivvfYaH330EYlE\ngjfffBOA/v5+MpkM+Xwel8u1qo+tous62WzWEOCJRGKFqMpX8/yHd/8DpYYSJtMj1+aOhg4ONh80\nyvfE8rGa6N6ECKoLQovFQltbG6qqrui7rJYpq+VtCdM6XrvXEIiarlHVq8Z9TddwWV0EXUGanE01\nl10kHmoP6e/rxyybafO00eXtwmF2kC6la0mDSskVJYSi+ShFpbj69WkKV+aucGXuypbmnKvk1ny8\nwdbAgH+Ag80HDUugRbYYIrzuclxH13VmUjNcnr3MeHTcSI5Ur3Nu0ms1DpWqgqIpT6xxWE+A1OZp\nM0oOfdYaOTIywunTp6lUKxSUAkWliNVkxe/0P5WHRSxWywAdCKy0ftnMNk62neRk28l199V0zXCL\nry/gZMoZI3mWz+GjqlUNK/1CeoF0abVlP16IEy/EuRm+ue3X8TRIkmRk46wnunNZXSvvW5wU1SKR\nXIRUKUWjrZGAK4Df6TeyT0uShKIpaJqGqqlU9WrtVqui6Zrhzl73OFE0xXABl5BIl9LEC/EVtaTr\nNaQVTTEWmjy2WqbOoCtIi7tlVUhEvU53PedBVa/WbrXafBRNwW110+ZpQ5IkRtIjxr6yJBNwCUuo\nQCAQCAQCwfPGnhHksiyvW84rFoutyLjd1NTE/Pw8yWSS4eFh43Gfz0csFnuiIF9LCFXUChZTzVqV\nSqW4fv06xWKRr3/962v28a3//i0KpQL2sp1gy6Os1t+5+J012//RT/5ozcf/3Vf/3ZqPx/NxSmqJ\n8dg49yL3WMouoenauu3X6t8sm/k3X/k3a7ZfT2xuVLf2szQ5m/C7/Gu2fxh/yN3IXaL5aG1xo5wl\nko9sOH+nxUmzq9nYNF3jtQOvrdm+rJbXjH/caP6SJNHn66PP12cIzmZ385rtNa22WFGPRVeqCrlK\njh5fz7r9r8XZs2e31H69+afTaVKplLFlMjV37e7utWsh7sT7u1H7P/npn6xpzV3v/Z2MTaJqKkWl\niKqp6LrO2PgY//gr/3jN9j978DNMkslIEDYVn+Ju5C7/4rV/sSPz/2x7G7Yttd9q/5tpL0nSKuv2\ns5yPaC/a17l+/fqemo9ov7/bi/NNtP8824vzTbT/vNqvd67BHhLkW2G9F/8ki+ZG/NO//Ke0Odpo\ncbRQSBYoZUsUpdVWXmMsSadSqVAqlTCpJpwuJ8Xq+u1jsRg22YbT7Fyxrcf0/ZprcAMNXLBcQPfp\nVLQK/461BU8ffTjNTlxml9G3Tbbxb1hbkI+MjKz5+HpstX1iOkHbp39IoNt0FqoL67b/9cZfN0og\nUfp024Dbn9ze0ny2Ov8bN27sav9bbf9//s//WfG/JEkb1h7f7fn8nca/Q6wcY7m4TKQUIVFO4Las\nn6E+PfPIwi5Ti3c/6ju6bntvqhbXXE1WyZOnlVZaXa3rtt/t17tX2292v706f9H++Wi/1X322vxF\n++er/Vb32WvzF+2fr/Zb3WevzV+0f77ar8dzIciDwSDRaNT4f3l5mWAwiMViMVx3ASKRCM3Na1s8\nH+cPf/SHhpvy45QoMcssoVIIBYW21rZ1LdsAQ+1D+JN+uhq6ePPNNympJb79xreZTkwjSRKt7laC\n7iCN9kY8Ns+ayZW+rX/buH/lyhWi0Sjnzp2jtXVt8bHVRYedaD8yMsKZM2eeuv+znH0m839Se13X\neffdd6lWq3zta1/DYlm/XvFW+79+/fq6x26j/q9du8by8rLxuNPpxOfz4fV68Xq9NDQ0YDab99zx\n/Ff6v9p025GRkT03/+ep/Vqfy+dp/p93e3G+bb/9er8Bz8v8n0V7cb5tv70437bffqPrtWcxn+eh\nvTjftt9enG9ba7+ReH8uBHlHRwf5fJ5QKEQwGOT999/ne9/7HolEgj//8z/nt3/7t7l79y4tLS04\nnetbneuckk9x7PgxUuUU4WyY+dQ8sUJN2KuqiqIoa7rQ+xw+Wt2ttDW00dnQyYB/gJ/99GeUSiUK\nhQIul4vjrcc53np8W68zl6vFSns8nm3tL9gekiThdDrJZrMUCoUNLc/rMTMzg91uX3chZSvouk4i\nkQDgzJkzBAKBdcM5BAKBQCAQCAQCwfPLnhHko6Oj/PEf/zGJRAKTycTbb7/Nb/3Wb9HZ2cmbb77J\nn/7pn/IHf/AHAPzGb/wGPT099PT0cPToUb7xjW9gMpn4kz/5k02N5VJclENlXj71suHjnywmmUpM\nMTY7hjluxuq2cqLzBK3uVlo9rbS6W9csO+b3+wmHw8Tj8adKJqcoCsViEVmWN7WoINhZtiLIM5kM\ndrvdEMnZbJbbt29jMpl48803n1o85/N5FEXBbrfT1ta2q/XcBQKBQCAQCAQCwbNjzwjyEydO8M47\n76z7/NmzZ9csaVYX6VvBbDazuLiIzWZjYGAAm82Gz+HjbMdZ5GWZRm8jw8PD9PX1PbGvxwX5egm2\nNkPdOu52u4UAewbUF0EKhcKG7RKJBJcvX6apqYmXX34ZeJTxvFqtMj8/T39//1PNJZmsZdH3+Xzi\nXBAIBAKBQCAQCPYx8rOewLPg5MlaSaiHDx/y05/+lOvXr1MqldB1fd1yUuvh99eyjMfj8aeaUzZb\nq48t3NWfDW53LSHZxMQEk5OTVKvVNdtNTk4aLuXlcq3+9OPv/czMzFMlF4RHgvzxygLEOL4CAAAg\nAElEQVQCgUAgEAgEAoFg//FCCvK2tjYuXLhgxPuGw2FGRkbIZDKUy2Xsdrsh0J6Ex+PBYrFQLBaf\naF3dCCHIny1dXV20traiqipjY2O8//77hMPhFeI6lUoRiUSAWpx3NFor6VYX5FarlUKhsCIB4Xao\nx4/7fL6n6kcgEAgEAoFAIBDsbV5IQQ7Q3NzMuXPn+PKXv4zdbieRSBilrgKBwKZdhSVJ2raVvFwu\nUyrV6nuJhG7PFpPJxLlz57hw4QIej4dCocD169e5cuWKUfP7wYMHANjttVwCy8vLZDIZKpUKDofD\ncFWfmZnZ9jwURSGXyyHL8raSywkEAoFAIBAIBILnhxdWkNdxOBycOnUKSZIMUbxZd/U6WxXkuq4z\nNzfHz3/+c37xi1+QTCYNC/lmLfOC3aG5uZnXXnuNY8eOYbVaicViXLp0iZs3bxIOh5Fl2SjxEI1G\nDWt4IBCgu7sbWZaJRCLb9pZIpVLouk5jYyOy/MJ/PAUCgUAgEAgEgn2NuOKnJqYGBgZW/L8V6rG+\nmxHkiqJw48YNRkdHqVarVKtVrl27ZmRYf5pM7YKdQZIkent7+dKXvmQk9ltYWABqru1NTU243W4U\nRWF6ehqoLcpYrVba29vRdZ3Z2dltjf14QjeBQCAQCAQCgUCwvxGC/FOGhobo6uriwIEDOByOLe3b\n2NiI2WymUChQLBbXbZdIJLh06RKhUAiz2czJkydpbm6mUqkAIsP6XsNqtTI8PMxrr71GMBjE7XYz\nODgIQEtLC4ARclBfxOnp6QFqAn47yd3q8eMioZtAIBAIBAKBQLD/2TNlz541siwb2de3iiRJBAIB\nlpaWGBkZ4cKFC5jNjw6trutMTk4yMTGBrut4vV5Onz6Ny+Wira2NDz/8kMz/Z+++A6qu98ePPw+H\nPWRzGLJEBRRRQFTcM3dqall6zbpp17T03sxvWpnXhuXIkZqVVq6cSZkDt+ZARRRRceJAQA4yRPY8\nvz/8nU+SDfWWhzivxz/pORx8f159zuf9fr3nnTuyfryGsrOzo2XLltVec3NzIzk5Gbh7ZJq+E8fR\n0RFbW1sKCgqUDeAelE6n4/bt28rvEUIIIYQQQtRuMkL+J2ncuDFWVlbk5uZy9OhRKioqACguLiY2\nNpYLFy6g0+moX78+bdq0Uaamm5qa0rJlS/z9/atNmxc1m5OTk9Lpcu8SB5VKpZxHn5KS8lC/s6Cg\ngPLycqysrJSN44QQQgghhBC1l4yQ/0msra2JiooiNjaWnJwcduzYgZWVFaWlpZSXl2NhYUFYWBiu\nrq73fdbS0pKQkBADlFo8KhMTEzQaDWlpabi5uVV7r27dupw7dw6tVvtQ+xHI+nEhhBBCCCGMi4yQ\n/4lsbGyIiorCzs6OyspKZcTTzc2NDh06/GoyLv6+mjRpQsuWLZXz7PUsLCxwd3dHp9MpSfaDkIRc\nCCGEEEII4yIj5H8yGxsbOnbsSHl5OSUlJVRVVVGnTh3ZrK0WMjMzu290XM/b25ubN2+Sm5uLTqd7\noP//+g3dJCEXQgghhBDCOMgI+V/EzMwMOzs77O3tJRk3Qm5ublhaWlJaWqok2r+nrKyMgoICTExM\nsLe3fwwlFEIIIYQQQhiaJORC/AVUKhXe3t7Ag23upt9d3cHBARMT+VoKIYQQQghhDKTlL8RfRJ+Q\n37x5k/Ly8t/9WVk/LoQQQgghhPGRhFyIv4iNjQ22trZUVlaSnp7+uz8r68eFEEIIIYQwPpKQC/EX\n0ifYvzdtXafTKVPWJSEXQgghhBDCeEhCLsRfyN7eHjMzM27fvs2dO3d+9Wfy8/OpqKjA2toaS0vL\nx1xCIYQQQgghhKFIQi7EX8jExAQvLy+g+ih5cXExsbGxnD17lps3bwIyOi6EEEIIIYSxkYRciL+Y\nj48PAKmpqVRWVgJw+fJlsrKyuHLlChcvXgQkIRdCCCGEEMLYSEIuxF/M3t4ee3t7ysvLycjIoKKi\ngtTUVAA0Gg0qlQqVSoWLi4uBSyqEEEIIIYR4nEwNXQAhjIGPjw+nT58mJSWFsrIyKioqcHZ2pkWL\nFhQVFVFeXo6dnZ2hiymEEEIIIYR4jGSEXIjHwMvLC7VaTVZWFsnJyQD4+fkBYG1tjb29vQFLJ4QQ\nQgghhDAESciFeAzMzMzw8PAA7m7oZmlpibu7u4FLJYQQQgghhDAkSciFeEz0m7sB+Pr6YmIiXz8h\nhBBCCCGMmWQEQjwmTk5Oyrnk9ybnQgghhBBCCOMkm7oJ8ZioVCpat25NZWUlFhYWhi6OEEIIIYQQ\nwsAkIRfiMTI1NcXUVL52QgghhBBCCJmyLoQQQgghhBBCGIQk5EIIIYQQQgghhAFIQi6EEEIIIYQQ\nQhiAJORCCCGEEEIIIYQBSEIuhBBCCCGEEEIYgCTkQgghhBBCCCGEAUhCLoQQQgghhBBCGIAk5EII\nIYQQQgghhAFIQi6EEEIIIYQQQhiAqaELcK/p06dz6tQpVCoVkydPpkmTJsp7u3btYvHixVhYWNCr\nVy+GDh3KsWPHGDduHA0aNECn0xEYGMjbb79twCsQQgghhBBCCCEeTI1JyOPi4rh+/Tpr1qwhOTmZ\nt956izVr1gCg0+l4//33+f7777G3t+ell16ia9euALRo0YJ58+YZsuhCCCGEEEIIIcRDqzFT1mNj\nY5UkOyAggDt37lBYWAhAbm4uderUwcHBAZVKRYsWLYiNjQXuJutCCCGEEEIIIcTfTY1JyLOysnBy\nclL+7ujoSFZWFgBOTk4UFhaSkpJCeXk5x48fV95LTk7mlVdeYejQoRw+fNggZRdCCCGEEEIIIR6W\nSldDhpinTJlCx44d6dy5MwDPPfcc06dPx9fXF4AjR44wb948XFxcsLOzw9/fn379+hEfH0/Pnj25\nceMGw4cPZ+fOnZia/vZM/Pj4+MdyPUIIIYQQQgghBEBERMSvvl5j1pC7ubkpo94AmZmZuLq6Kn9v\n1aoVrVq1AuCdd97By8sLNzc3evbsCYC3tzcuLi5otVq8vLx+89/5rUAIIYQQQgghhBCPU42Zst6m\nTRu2b98OwNmzZ9FoNFhbWyvvjxw5ktzcXPLy8oiNjaV169b8+OOPLFiwAIDs7GxycnLQaDQGKb8Q\nQgghhBBCCPEwasyUdYBPPvmEY8eOoVarmTJlCklJSdjZ2dG1a1d27drFokWLqKysZNSoUfTu3ZvC\nwkJef/118vLy0Ol0jBkzhnbt2hn6MoQQQgghhBBCiD9UoxJyIYQQQgghhBDCWNSYKetCCCGEEEII\nIYQxkYRcCCGEEEIIIYQwAEnIhRBCCCGEEELcR1Y3P7yqqqqH+nlJyIX4HxQVFZGammroYtRYEp9H\nl5eXR3l5uaGL8bf0sBWhEI8iOzsbkPvtUSQnJxu6CH9bp0+fNnQR/lb27dvHpUuXAEksH0Z5eTkr\nV66koKAAlUpl6OL8LVRUVLBgwQLy8vIwMTF5qPtNEnLB6tWr2bZtGyANi4c1fvx4pk+frjTMRHUS\nn0ezZ88eXnjhBc6cOWPoovxtZGVl0bVrV3Jych66IhRSDzyMqqoqvv32W8aOHUtZWRkmJtKUehjf\nf/89//73vzl06BAg99vDOHz4MK+++iqbN28GJHZ/5MyZM0ybNo0ffvgBQBLLh3Dw4EHmz5/P+vXr\nAenMeBCXL1/myy+/5PPPP3/oz0otYuR0Oh0xMTEsXLgQQBoWD0hfCdrZ2VFRUcHZs2cpKyszcKlq\nDonPo9FXeJaWllRWVnL69Gm0Wq2BS/X3kJOTQ2pqKl999ZWhi/K3I/XAwzExMSEtLQ2tVsu3334L\nSGP1QehjZGdnh5mZGdu3b6ewsFDutwegj521tTUODg5ER0dz584d6Xz8hV/GQqPR0LhxY/Ly8oiJ\niQGkE+OP6GPo4eFB27Zt2bdvH+fPn0elUknsfoM+Zo6OjnTv3p2dO3eSkJDwUDGTp6CRU6lU+Pj4\nUF5ezhdffAFAZWWlgUtVMxUUFCh/1jcgfHx80Gg0HD582OhHgSU+f57MzEw0Gg1lZWUyPfEP6Cs7\nKysrhgwZQkxMDCdOnEClUsmz7AFJPfDgKioqgLsNr3feeYe9e/dy9epVVCqVJEa/Q6fTKaOTaWlp\n9OzZE29vb6Kjo5X3xW/Txy49PZ1hw4bRvHlz5bsq7qqoqFA6/vX3U0pKCiYmJnTv3p0DBw4A0uH4\nazIyMiguLgZ+vtcSEhJo1qwZAwYM4JtvvgEkdve6efMm6enpQPWYtW3blvHjxzNr1izgwWMmkTUi\nFRUVHD9+nNLSUuBugysnJwdvb2/mzp3L2rVrAVCr1YYsZo20du1aXn75ZZKSkoC7sSwoKCA3N5fJ\nkydjYmLCwYMHOXjwoNJgMyYSn0ejj8/27duBnxv7zs7ODBgwAEdHR1JTUzl16hS3b982ZFFrlOjo\naH766Sfg58ru1KlTNGvWjDfeeIN58+YB8iz7NVIPPJxLly4xefJk8vPzATA1NVVet7S0pEePHqxa\ntYqcnByZDvsLN27coHfv3pw9exaVSqXsieHk5IStrS2RkZFcuHCB/fv3k5mZaeDS1izZ2dn069eP\nHTt2VHvdwsKCjIwMnnnmGc6dO8fmzZtJSUkxUClrjtu3b9O3b1+mTp0K/NxRa29vT1hYGM2aNcPZ\n2ZmpU6eyb98+wxW0BkpNTaVnz55899131TpifXx8UKvV9O/fn5ycHKZMmcLx48cNWNKa486dOwwZ\nMoR169ZVG2zy8vLiwoUL9O7dm9LSUl577TX279//QL9TEnIjMm3aNObPn09cXBxwt8Hl5OTEqVOn\nCA4OplevXgwePJiZM2cauKQ1z7Vr12jYsCEbN24E7jbKbG1tsbS0RKVSYWZmxowZM9ixY4dRNsok\nPo8mOTkZrVbLypUrqaysxMzMDLi77q1OnTq0bduWbdu28X//939kZGQYuLQ1Q25uLosXL+bYsWPV\nNoby9/cnKyuL7t27c+vWLTp37qysURU/k3rg4cTHx7N7925iY2OVUbeysjICAgKIioqiefPm7Nix\ngzfeeIPi4mKZ0nmP1NRUSktLlWUk+udbSkoKTZs2xcXFhYSEBGbPni0j5L+Qnp5OeXk5sbGx5OTk\nKK/fuXOHiIgIrK2tycnJ4ZNPPpE6lbt7iISHh3PixAkuXLigdCimpaVRUFBARkYGR48eZf/+/djY\n2AAydV0vJSWFkJAQ4uPjlRFf/euWlpbExsaSkpLC0aNHCQ4ONmBJDU//nLp8+TIeHh4UFBRw8eJF\n5fWMjAzc3NxISEigpKSEuLg4IiIiHuh3S0Jey+mn7+Tn5yuV4Llz57h16xZwd92lj48PFy9e5OLF\ni1y/fp0GDRoAxj1l8fTp02zfvp3KykrKysqoqqqiT58+5OXlsWvXLgC0Wi3p6en861//4saNG/To\n0YPAwEBl2k9tJvF5dImJicqfY2NjeeGFF/D09Ky2CYivry+bNm3i9ddfx9HRkU6dOikjc8bozp07\nyn0THx+Pr68vZmZmnDhxQnlOXbhwgczMTGbMmIG1tTUAbdq0MViZaxKpBx5ORkYGpaWl6HQ6SkpK\nePbZZ9mwYYPSKWZubs6lS5d47bXXmDZtGpGRkVhYWGBlZWXUUzrLy8s5cuSIMmKUmprK7NmzuXTp\nkjILCO6OIk2cOJEJEybQrl07mjRpYvQj5OXl5ezfv5+rV68Cd0fIJ02ahFarZffu3UryaGtry6RJ\nkxgxYgQ9e/YkMDCQ69evG7LoBqHVapk/fz6HDx+mpKSE/Px8xo4dy6BBg6p1JtatW5ft27czZcoU\nnn76aYYPH37f7Cpjc+TIEebOnausqbexsWHBggU4ODjwww8/KPWFl5cXc+bM4dtvv2XGjBmEh4ez\nbt06QxbdYI4cOcJHH32k7Bni4eHBvHnz0Gg0HDlyhLS0NABcXV1ZuHAhS5Ys4csvvyQyMlLZm+WP\nqKfq53eIWkWr1fLpp59y9OhRPDw8cHd3p0mTJnh5eXHq1Cl0Oh0NGjTAysqKjz/+mD179vDqq6/S\ntGlTli1bxpAhQ4zyYVVRUcH06dPZunUrWq2WhIQEHB0dGTRoEBqNhuLiYnbv3k2HDh1wcHDgypUr\ntG/fnjFjxhAcHMyePXto1qyZkhDUNhKfR3f+/Hneffdd9u7dy+XLl6msrOTpp5/Gx8cHb29vlixZ\nQps2bahTpw4nT54kIyODiRMnMmzYMI4ePYq5uTl+fn5G9b2srKxkxowZrFu3jvj4eBo3bkxQUBD9\n+/cnOzubixcvYmNjg4eHBxUVFXz55ZdERUXx4YcfEhsbS3JyMq1atTL0ZRiM1AMP59ChQ4wZM4bL\nly+zc+dOunfvjr+/Px07duTQoUNkZWURGhqKWq0mNTUVlUrFm2++yVNPPcX27duxt7fH29vb0Jfx\nWOnXhh89epQ33ngDrVbLd999h5+fH507d8bd3R1nZ2cWL17MkCFDALh69Sru7u68/fbbdOrUiays\nLAoKCggKCjLw1RjG6dOnGTNmDIWFhaxYsQJPT08iIiJo0KABTk5OrFu3joiICOrUqUN+fj7u7u5M\nnDiR1q1bY2ZmRkpKCs2aNTP0Zfzl9PfaiRMnmDZtGj4+Ppw5c4YdO3YwfPhw7OzsiIiI4Msvv8TF\nxYWAgAByc3Np2LAhEydOpFGjRpiZmWFra0u9evUMfTmPlT52u3fv5vPPP6djx46sWLGCgoICoqKi\nlGfXqlWrCAwMRKPRUFlZSceOHfnnP/+JRqPBw8ODOnXqULduXUNfzmNx7/32ySef0KdPH7Zs2UJa\nWprSbtNoNOzevRtbW1u8vLxwcHCgbdu2vPjii9ja2hIeHo65uTn+/v5/+O9JQl4LFRYWMmnSJIKD\ng7GxsWHnzp1UVlYSGRmJu7s7ycnJpKWl4eDggIuLCxEREYwZM4a6desSHByMWq2mcePG1TZhMRaV\nlZXs2rWL9957jyeeeILc3FxWrlxJ7969UavV2NjYcObMGdLT02nWrBmRkZHUr18fuLtzbPv27Wt1\nsinxeXTR0dE4ODjw0UcfodPpmDlzJp07d8bW1hZnZ2fS09PZs2cP3bp1o3HjxnTt2hUHBwcA6tev\nT2hoqFElRwAHDhwgKSmJ2bNnc/LkSc6ePQvcXdvm4ODA2bNnuX37Nv7+/vj6+jJw4EAiIyMBaN26\nNc2bN8fCwsKQl2AwUg88nDt37vDFF1/w2muvMXz4cKKjo8nNzaV+/fpYW1vj5eXFypUrCQ4Oxs3N\njcaNG9OxY0dl+mvbtm2VZ50x0d8bq1atIioqivHjx1NVVcXXX39Np06dsLKyIiAggJ07d5KWlkZk\nZCQNGjQgIiICc3NzpVOocePGBr4Sw4mOjqZhw4ZMmDABZ2dnNm/ejK+vLxqNBm9vb+Li4rhx4wat\nWrXC3d2dZs2aYWFhQWVlJQEBAYSFhRn6Eh6LkpISzMzMSExMJDc3l0mTJtGxY0eWLl2KjY0N/v7+\nmJiY4ODgwGeffcazzz6Lk5MTAQEBwN0p6m5ubsrfjY1KpWLr1q34+fnx3HPPERISwubNm3FycsLD\nwwNXV1fS0tI4fvw4nTp1wtHREU9PT+DuYIy7u7vRJONwd9aKWq1m586d2NraMnz4cEJDQzlx4gSF\nhYX4+/vj4uJCdnY2p0+fVjrN3N3dgbsz0+zt7R8oGQdJyGuVW7duYWNjw82bN9m+fTvTpk0jLCyM\noqIiEhMTsbe3R6PRYG1tzZkzZzA3N6dBgwaYm5tjYWFBaWkppqamSsVoDI0wgE2bNrFz506Kiorw\n9PRk+fLlPPXUU1hYWODr68uxY8e4cuWK0rh3dnZm165dpKamkpiYSL169Wp1o1/i8+i2bt1KVlYW\n3t7eHDx4kKCgIAICAvDx8eH69ets2bKFXr16UVVVRUBAAD/88AOenp4kJSVRWVmJs7MzgNLoN4bk\n6OzZs5SXl1OnTh22bt2KSqWiXbt21K9fn4yMDM6fP0+jRo1wdnamqKiI69ev4+zsTG5uLg4ODpia\nmqLT6bCyssLCwoKqqqpaH7N7ST3w4O7cuUN0dDTu7u44OjqyZcsWfHx8qFevHvXr1ycmJgYnJyc8\nPT3RaDSkpKRw5coV/Pz8iImJISQkRPlOGtszLjMzk2XLlpGbm4uXlxepqamUlJQQFhZGo0aNOHLk\nCLdu3SIsLAyVSkWTJk2YN28eYWFhrFmzBhcXF5ycnFCpVMpyHGN4vsHd7+iiRYvIyMjA09OTgoIC\nkpKS6NSpEwEBASQlJZGWloafnx82NjYEBgayfv16bG1tWbZsGW5ubri6umJiYqLEqzbHLjExkTlz\n5hAbG4uHhwdlZWXk5eXh6+uLnZ2dcgxcu3btsLS0pGHDhhw8eJAjR46wZcsWSkpKCAoKQqVS1doY\n/ZaYmBimT5+uzCZzdHTk0qVLNG3aFC8vL7Kysjh79iz169enTp06tGzZkjVr1nDq1CkWLVqEv78/\nnp6eRjUYsGPHDqZOncr58+cpLy+ncePG7N69m1atWuHh4UFRURHnz5/Hzs4OT09PQkJCOHDgALt3\n72b69OlKG+9hN0Y1ngjXYhcvXuTVV19lypQpzJkzBw8PDywsLNi7dy8A4eHhODk5ERsbS1VVFQ0b\nNqRly5bs2rWL7t27s2jRIgCja1BUVFSwYMECtm7dSmBgIBMnTiQzMxM/Pz9ll2YrKyueffZZ4uPj\nycrKwtLSkry8POLj49m6dSthYWHUqVPHwFfy15D4PLorV64wZMgQDh8+zMyZM4mJicHZ2Vn5TgK8\n8cYbXLp0iZMnT6JWq9FoNLi6ujJ8+HD27duHl5fXfb+3NjcmCgoK+OCDD5g6dSqff/45c+bMoV+/\nfiQlJZGTk4NGo6FJkybodDpiY2MB6NKlCxUVFUycOJFXXnmFlJQUVCpVtYaqsTQkpB54OFu2bGHU\nqFHExcWxaNEi1q9fT1RUFOnp6ZSVlREUFETDhg05cuSIsqZy1KhRrF69mueee46MjAyj3Yjs5MmT\n/POf/6SsrIzNmzfz/fffU1xcTEVFhbKW8oUXXmDLli3cuXMHgHr16lFeXs6IESMwNzf/1VHK2vx8\n00tKSmLUqFFYW1tz6dIllixZQnFxMa6ursr+Iv369eP8+fPKZm5eXl7cunWLyZMn4+LiQqNGje77\nvbU1dvp9Qbp06YKnp6fSyZ2fn09qaioAXbt2RafTsXnzZiUOlZWV7N27l6ioKPr162fISzCYEydO\nsHr1asaOHYtGo2HHjh1kZGRgYWFR7V67fv268r3VarVcvHiRs2fPMmHChAfekKy2OH/+PMuXL2fC\nhAl06NCBmJgYkpOTqV+/vlKXtmnTBp1Op+x7odVq2b9/P2lpacyYMYO2bds+0r9tHC2VWm7OnDl0\n6NCBjz/+mJycHL755hueeeYZtm3bBtzd1CIgIID8/Hzy8vIA2LhxI6dPn2bUqFG8+eabhiy+wZia\nmpKYmMjYsWPp1q0bL730EkuXLuX1119n06ZNaLVaADQaDXXr1iUjI4PMzExmzpzJmDFj+O6772ja\ntKmBr+KvI/F5dAcPHiQsLIz333+fiRMnsmLFCp5++mnOnDnDsWPHgLu7Ww8cOFDZYGbSpEncvHmT\n1atX88EHHyij4sbi/PnzaLVa1q9fz7hx40hKSiIlJYWwsDBlI5kGDRpga2tLUVERANu3b2fjxo30\n79+fPXv2EBgYaMhLMCipBx5OYmIi//d//8fs2bNp2LAhBQUF2Nvbk56ezsmTJwHo378/P/30Ezk5\nOdy+fZt33nmHsLAwli1bxrhx44xyxA1g3759jBw5kvHjx9OnTx8uXrxIt27dSE5O5uLFi5SUlBAc\nHIyvry8rVqwAYOrUqTRr1ozNmzfz8ssvG/gKDOfkyZMMHDiQMWPG0LNnTwoLCwkODqasrIzExEQK\nCgqoV68ejo6OfPfddwB8+umnNGjQgB9++IGxY8ca+Aoer4MHD+Lm5ka3bt0YPHgwJ0+eJCoqCldX\nV+Lj45UN7UaMGMHOnTsBWL58OSEhIezdu5dBgwYZsvgGtW/fPp544gnCwsKIjIzk+vXrtG/fHgsL\nC2VpoZ2dHSEhIcoJOVu3buXVV19l9erVNG/e3MBX8PidPHmS9u3b07RpUxo0aICJiYmyJO7MmTMk\nJydjY2ODt7e3ciRhXFwco0ePZuXKlf9TzCQh/xvT6XSkpKTg5uambAYVFBSEubk5DRs2xMTERDlT\nNjQ0lKNHj6JWq7lx4wYRERFs3bqVgQMHGvgqDKewsJChQ4fi6+sL3F2X6uHhgZOTE7179+bDDz8E\n7iacWq0WFxcX3Nzc2Lx5M4MHDzZk0R8Lic/D04+Y+fr6EhgYiE6nIzIyEmtra8zMzBg6dChffvml\n0rOqn/YP8NJLL7FixQrCwsLQ6XRGdyRLcnIyHTt2VP7u6OiIRqOhXbt2nDx5ksTERKytrXF2dlbO\nu/f29mbTpk3861//AjDKM+6lHnhw945oZ2dnK2v9bG1tSUpKomPHjtjb2xMfH49Wq8XV1ZXQ0FC0\nWi2mpqa88sorLF682Og2btPTx69u3brK2tIOHTqQmJiIn58fzZo14+TJkxw5cgSAyMhIZfOsV155\nhRkzZuDm5kZlZaXRzi5wcnIiJCQEgKZNm3L69Gm8vLyIiIhAq9WyadMmAFq1aqXMkho2bJjRxE5/\nVr3+dIcePXowcuRIdDodzs7OODg4oNPp6NGjB3l5eURHR6PT6cjOzqZly5YAPPvss4wdO1Y5Zs9Y\n6O8LfeyefPJJevXqBUBwcDAlJSXKcaqlpaUsXboUuDuLTL/56QsvvMBTTz1lgNLXDG3btlU2n/Tw\n8CA7O5s6deoo+zd88sknAJSWlhIaGgpAnz59/pSYSUL+N6ZSqfD09OSVV17Bw8MDuHtci4mJCb6+\nvgwaNIhly5aRnJxMSkoKXl5elJaW4u3tzfPPP290D6tfJjg2NjZ06NABOzs74A5xFtcAACAASURB\nVO5UMv2aj8mTJ2Ntbc20adMYOnQonp6e2NnZodPpauUU2F9LACU+D+beuOlHyzp06ED//v1RqVSc\nP3+e/Px8VCoVQ4YMISAggC+++IKPP/6YLVu2KFP69VM4KysrlWnXtZk+bvrGQ9++fZVKzcLCguzs\nbKytrYmIiKBdu3a89957HDt2TFmLD9CoUaNqjVRjPBpO6oE/tmDBAq5fv45KpVIa/DNmzFDilZWV\nRcOGDbGysqJLly6UlJQoU/+vXbuGn58ftra2RrkZlP77eW8SOHjwYGUk6MiRI0ri2K9fPwIDA1m2\nbBlvv/02a9euVTY0cnNzA+5+79VqtVHMLNA/4+6NXc+ePZUd0RMSEtBoNNja2hIVFUWXLl2Ijo5m\n0qRJLFy4kPDwcOBu56T+99Xm2N26dUvpbNW3NaysrAgODkalUpGbm4tWq8XKygp/f3+GDBlCRUUF\nL7/8MmvXrlWOuTSGZ9qv0d8X+tgFBAQo987Ro0exsbHBysqK0NBQhg0bRn5+PqNHj+b06dO0a9fO\nYOU2hN8a9PD29lbaZOfPn8fS0hKNRoNGo2HUqFE4Ozszbtw44uLi6Nu3759aJuNrvfyNVVZWVtsk\nQN8A1Wg0ymtarZZOnToB0Lx5c4YPH86qVas4d+4c//73v3F1dX3s5TakrKwsCgsL8fX1xcTEhLKy\nMszNzYG7lZs+6SkrK+PUqVPK+ZWlpaW888473Lx5k9u3b9f6dTT6qZdXr14lOzv7vmk3xh6f36O/\nh5KTk/Hw8LhvF/nz589Xq+xeeukl8vLyiImJ4ZNPPrlvrfjDbgTyd2ViYkJBQQG2trbA3YaX3vnz\n53FwcFBGMIcNG4aTkxO7d++mdevW983AMJaYgdQDD6OiogJTU1O0Wi2zZ89m/vz5SmPdxMSE8vJy\nzMzMuHLlCk888QRwd1nEuHHj2LVrF1qtls8//1y5R42Jvn7U32tFRUXY2Ngo95/+/TNnztC5c2cA\nrK2tadeuHSEhISQlJfHuu+/elxzV9o5G+Dl2v3Wt+veTkpKUTe/06+o///xzzp8/z7Rp04wmdvp4\n5Ofns2/fPg4fPkyvXr3w9fWt1vmwf/9+mjRpgqOjIyUlJdy5c4cJEyaQnJxslJ1lUL0dW1paypo1\nawgNDVXuK/1mfwcPHlTaIVevXqWoqIgZM2ag1Wqr1R3GQt/mvXHjBiYmJtXaYfqY6Y9aVavVXLx4\nkdzcXKZNm0ZeXh729vZ/epkkIf8b0FeAarWa4uJizp07R3h4+H29pKmpqZSWlhIeHk5eXh47d+5k\nyJAh1b6wxmbevHkEBATQq1cvvvrqK27dukW7du3o379/tZjk5ubi7++Pm5sbs2bN4syZM8ycObNW\nP+R/2bDfv38/n332GaNHj77vZ40xPr/n3tjl5+ezYMECsrOzeeedd5Sf0T/UMzIy6NChA1evXmXh\nwoX06NGDrl27MmbMGABlF/DaOurxeyZMmEDfvn3p3bt3tes/c+YMUVFRAHz55ZfY2Njw3HPPKdPv\nAKN7rkk98PD0MyamTZumrAdv3769EgszMzMqKyvJzMykWbNmJCQksH79eoYMGUL37t0NXHrD0t8r\niYmJfPXVV+Tl5fH1118rr+v/W1BQQEBAALGxsaxatYr+/fvTtWtXZSnOL+sZY6CPzYEDB1izZg0N\nGjRg5MiRyr4g+u9sTk4OjRo14sSJE3zxxRd07dqVQYMG0bp1a6D2x05fR+rjZW5uzrfffktISAhD\nhw5VfgZQOi3Cw8PZtGkTa9asYcCAAYSGhhplO+Te2Onvk+zsbC5fvlxtUzH9zzk7O2Nubs4XX3zB\noUOH+Oc//wlgVMm4PhZVVVVUVVWxYMECYmNjqVevHr169bpvloB+8O6bb75h7969PPfccwB/STIO\nkpD/LegfyImJibz//vsUFxczYsQIunbtir29vdK4qKyspLy8nM2bNxMdHU2jRo2oqKio1Q/0X1NV\nVYVOp0OtVtO3b182btxISkoKjo6OdOrUiS+//JLy8nIGDx6sjKBYWVmxceNGzpw5Q4cOHVi4cGGt\n3lRLP/UNUHqXMzIyKCsrUzbGuvcYFWOLz2+5d9SorKwMExMTrl+/zokTJxg6dGi176M+docOHVJ2\nNO3YsSNdu3ZVfp8xTPG/t0EFcOPGDWUNbvPmzZUpdfqf1XdO7Nq1iwMHDmBvb6+sEb/3Z2p73PR+\nOVIp9cBv+7UE5tNPP8XR0ZE333yTWbNm0b59e+Xe0e+Ua2Vlxbvvvsvt27d5/vnnadKkiSGKX6NU\nVlYyffp0MjIyiIqKYvr06ezdu5dOnTop9WZRURGnT5/m4sWL2NraMnToUKUjTc8Y7jv4+Xuq0+ko\nLCxk7ty5lJeXM2zYMJYtW8bq1avp06dPtTOKU1JSlE3Lnn/+eaOK3b0dhHFxccTExDBgwAD+/e9/\nk5uby4ULF4iMjKzW4Xj48GG2bt3KgAEDmDZtGvXr1zdU8Q3ml+0LrVbLq6++ytKlS/H09KS4uJjY\n2FgCAgKq3ZP79+8nPT2dJ598ks8+++y+mXy12S9jZmJiQlZWFpcvX2bp0qXk5+crR8zCz22Vc+fO\ncfDgQfr27ftYYibnkNdAOp3uvjMlx40bx4ULF5g2bRrh4eEcPHgQa2vralN6rly5wtq1a6moqGD8\n+PH07t272k1oDPQNT/10WH9/f65du0ZCQgLDhw+nWbNmuLu7s3DhQp566imlBywzMxM7OztGjx5N\njx49lNdrk8TERC5duoSPjw8qlYojR47w7rvv8tNPP1FWVkZERAQlJSWkpKTcN/JmDPF5EPqYbNu2\njf/85z+kp6ejVqsJDQ1lz549dOvWTWlEVVZWYmJiQlpaGtbW1vz3v/8lLCwMqJ541mb6GKhUKkpL\nS8nOzmbMmDFYWFgQEBBAfHw8+fn5NG3atFoDbdu2bUpyNGzYMGV/AmOI2S/de72vv/46586dk3rg\nFyorK5k3bx7Xrl0jMDAQtVrN+fPncXFxwdbWlo8++og33niD/fv3k5OTQ7Nmzap1dCxYsICePXvy\n9ttvKyO7xuTe9kZFRQWHDh3Cw8ODrVu3MmzYMHr06IGrqyuzZs1ixIgRSsePhYUFFy5coFGjRkya\nNEnpaKvNZ2L/0r0znMrKyjA1NaWkpIRZs2bRtGlTBg0ahI+PDwkJCVhbW+Pn54dKpUKtVnPp0iVC\nQkJ48803jSJ2N2/e5NixYzg4OGBpaYlKpWLDhg0sWbKE8PBwbt68Sbdu3Thz5gw3b96kfv36WFlZ\nKfWIr68v4eHhvPjiizg5ORn6ch6rkpISTE1NlXsjLi6OgwcP4u/vT1paGvHx8bi4uBAaGsquXbvo\n0KEDpqamSuycnZ0ZPHgwPXv2NLo19vqYHTt2jMOHD2Nvb09mZiZpaWm0aNECFxcX1Go1aWlpmJqa\nKvGxsbFh0KBB9OjR47HETBLyGuTexqtKpSI1NZVTp07h6+uLmZkZ3333HS+88ALe3t4kJSVx69Yt\nvLy8lE23LC0tiYiIYPjw4Ub1sMrIyGD37t0EBQVhYmJCRkYGkydP5tixY6SmpjJgwADi4uLQaDS4\nu7vj7+9PQkIClZWVNGzYELg7BaVFixa1Nm765Ob69eu0bduWsrIyvvrqK8aNG0eTJk2YNWsWkZGR\n2Nvbc/HiRezs7PDw8FDuydoen99y5MgR7OzssLS0BCAtLY3Zs2eTm5vLa6+9hpWVFZs3b6ZJkyYU\nFxdz8+ZNGjduXG0GQtOmTenUqRNmZmZGMT29rKyM9PR07O3tMTExobi4mPnz57Nu3TqaNGlC69at\nSUhIYM+ePTz55JOsX7+enj17KutSVSoV9evX59lnn1XWdRnTdGv9d+5eCxYs4MKFC7Rr147Vq1dL\nPfAL3333HTExMZSUlODu7k5cXBybN2+mcePG1KtXj8uXLxMXF8fYsWP58MMP6d+/PxYWFpSXl2Np\nackzzzyjbLRljO59HsXHx7N582YKCgqwsbEhJyeHoKAgQkNDWb58OeXl5YSHhyud3+3atVM6Go3h\n+fZL+mtdt24ds2bNIi8vT9m1evXq1Tz99NO4u7tz9OhRtFotUVFRlJeXo1ariYyMVI4Grc2xq6qq\nYuHChSxYsICysjK2b99OfHw87du359ixY/To0YN+/frRrFkzbG1tMTEx4fLly+Tn5wM/bwjo5ORk\ndKPiVVVVHDhwgISEBOUYrvnz57Nx40YsLCyIjo5m4MCBWFtbs379eoqLi/Hz86N+/fqYmZkpdYmv\nr2+1UeDaLCcnh6qqKmXgqKKignnz5rF9+3Y8PDxYtmwZ4eHh7N69G29vb7y9vSkoKGDVqlU0adIE\nc3NzZbPUx1mHSkJeA9zbu+/v74+5uTkLFy5kyZIlVFVVsXbtWkaPHs3+/fvJz89XHlpxcXGUl5cT\nFBSESqXCyspKOYrEGFRWVrJkyRKWLFlCUFAQwcHB5ObmMnv2bPr06cPQoUMZMWIEnTp1Qq1Wk5iY\niKOjI56enmzatIlu3boZxeZGOp0OKysrMjIySElJobKykqioKHJzc7l+/TqrV6/G2dmZ/Px8Onfu\nzK1btzh+/Dht2rQxyl2r9bKzs3nxxRe5cuUKcHfHUgsLC7766itcXFwYMGAA3t7e3L59m5MnT9K1\na1d++OEHWrRoUW0TKH0MjSGpzMnJYfjw4Vy4cIFOnTpRWFjI22+/TYMGDQgLC2PevHn06NGDPn36\n8P3335OWlkZxcTFdunSptgmSPrm8t5Oytvu9UV5ra2s+/vhjXn/9dWJjY7l9+7bUA/do3LgxTz/9\nNGfOnKG4uBgPDw+Kioq4efMmoaGhREZG8tFHHzFw4EC0Wi07duzgiSeeUDrNavPU4F/zy47GGzdu\nsGzZMsLCwnB1dSUrK4tbt24pu9Kr1Wq8vLxITU3l+++/Z8iQIVhYWCijufplKbX9+QZw/Phx3n33\nXS5cuIClpSWenp5s27aN48ePM3nyZOLi4ti/fz+DBw/m7NmznDp1irZt25KWlsbly5fp2rXrffdb\nbV+6tHLlSmUPlS5dutCqVSulHj127Bh37tyhVatWVFVVceHCBYqKirC0tGTJkiVYWVkpG5QZI5VK\nxbVr15Td5a2trVm+fDnffPONcl9lZGTQvXt3nJ2d+eabb4iPj+e5554zupFwfU6wYMEC4uLiSEhI\nwMXFBScnJ3788Ufmz5/PzZs32bFjByNGjMDa2prdu3dTUFBAbGwsp06d4sknnzRY3CQhrwH0vful\npaX4+flhbW3Nnj17eO+999DpdGzatAlzc3Oee+45pk+fTv/+/fHy8uLq1as4OjoSEBBgdA+r/fv3\n869//YugoCBef/115XgQlUrFgQMHUKlUrF69msjISJ555hmCg4PZt28fBw8e5NChQ9jY2NC3b99a\n+8CKiYlhw4YNBAcHY21tTVlZGTdu3MDf35+rV6+i0Who0aIFa9asYc6cOQwYMIA333yT7OxsTE1N\niYyMxMfHx+gaqvcqKyvj2LFjdOnShS1btqBSqQgODsbBwYHDhw/TunVr7OzsMDExITk5mYiICLKz\ns3F2dlaOU7qXMXxHraysOHDgACkpKTg5OREYGEhubi7NmzcnOjpa6dxo1aoVkZGR5OXlsXLlSoYP\nH46FhcV9v682N1J/6fdGeQMCArh8+TLHjx+vNspr7PWAXkVFBSYmJkrd2bBhQywtLbl06RIajQYP\nDw9OnDjB5s2bmTFjBpaWlspxXMbmtzoa58+fj6OjozLTTL/7sI2NDT/++CPbt28nMDCQkpISUlNT\nadGihXK/1daR3XuVlZUxe/ZsYmJiGDx4MJ6enqjVaurWrcvmzZsJDQ3l6NGjJCQkMGbMGPz9/fHw\n8OC9995Dq9Vy+vTparN+7lWbY1dWVsbnn3/O6NGj0Wg0FBUVYWdnh4ODA7GxsfTt25clS5YQGhqK\nu7s769ato6KigqeeeooePXrQtm3bWh2fX7Nt2zY2b96sHMHl7OzMjRs3yMjIwN/fnyNHjmBiYkJA\nQADOzs6sXr2aFi1aKB1qderUoXnz5tWmuNd2+pwgODiYN998k4iICLKystiwYQOBgYEcPXqUmTNn\nYmtrywcffEBlZSWhoaG4urpy+PBhysvLmTRpkkH3RpKEvAa4t3dfq9VSt25d/Pz8WLx4MadPn2b4\n8OFs2LCBYcOGcfr0aY4cOUKXLl0ICQmhYcOGRvOFu9eFCxc4dOgQ8+fPr7bRQmpqKpcuXeLQoUO8\n+uqrDB48mO+//x61Wo27uzvl5eW8+OKLBu0FexzOnTvH3LlzuXHjBuHh4dSpU4dTp06RnJxM+/bt\n2b17N506deKdd96hS5cuFBcXU1JSgq+vLx06dCAyMtKok3H9rIKjR49iZ2fHE088wapVq6iqqqJX\nr14cPnyYpKQkgoOD2b9/P1evXmXYsGG0bNnyVxtctVV6ejrHjx/Hx8cHExMTqqqqKCgowN7enqSk\nJCIiIvD392fx4sX079+ff/zjH8yaNQsbGxs8PDxo2bIlaWlpqNVq6tWrZ+jLMaiHHeXdvn073bt3\nN+p6QE/fcePu7s7ly5fRarUEBgaSk5NDXFwc169fR6PREBAQoNyTxurXOhobNWqEvb090dHRREVF\n4efnR2xsLBkZGXTq1EnZxXrkyJFcunSJpk2b4ufnZ9gLecwyMzPZunUrixcvpn79+vj7++Pt7Y1K\npSI7O5s33niDgQMHMnHiRJycnNixYwetWrVCp9Nx7do1Fi1aZFR1g55arebgwYNYWVkRFBSknKNe\nr149li1bRmhoKCEhIWzfvl3ZgLd79+54eHhUOwrTmFy4cIG5c+dy9OhR/Pz8cHNzw83NjXPnzlFU\nVIS7uztJSUlERkbi4uLCTz/9hIeHB35+ftSrV4+oqCjMzMyMqk7Q5wTz5s3D0tISe3t7mjRpQkZG\nBtu2bVM6dqZOnYq1tTVz587FxMSEqKgo2rRpQ7t27ZQZQ4YiCXkNoO/dt7GxYf/+/Xh6etKgQQOO\nHTvGpEmTaNy4MRs3bmT9+vX06NGDRo0aUa9ePaMaPfqlevXqcfHiRc6dO0eLFi3IzMzk008/JTU1\nFY1Gg7W1NXXr1qVu3bosXbqU+vXr07p1a1q1aqVMh63NGjRogKWlJYcPHyYzM5O6desSHh7O/v37\nCQ0NJTk5GRsbGyIiIpg+fTo//fQTTz/9NH369MHFxcXQxTc4fUVWVFREcXExvXv35tq1ayxbtoyq\nqioGDBjAqlWruHr1Kjk5OTz//PO4uroqO5oaS0W4YsUKpkyZgomJCZGRkZiYmHDgwAF0Oh1BQUEc\nPXqUtm3bMnXqVKZOnYq9vT1nz57l0qVLODs74+npSUxMDE8++SR16tQx9OUY1MOO8lpZWeHv72/U\n9cC99Gtw69aty9q1a2nTpg0REREcOnSI9PR0Ro4cSatWrQxdTIP6vY7G3r17c+jQIbKzs2nWrBnn\nzp0jMzMTPz8/wsLCSE5OZvbs2ajVaqOcDmtubs7XX3+NhYUFKSkp7Nq1i61bt/Ljjz/y/PPPc/Dg\nQSIjI2nQoAHLly8nMTFROf7t66+/JigoyOiWksDPJxncunWLhg0bYmVlRWFhIebm5uTl5XHx4kVG\njBhBREQEderU4d///vevzjAzJvXq1cPGxob8/HysrKxYtGgRbdq0IT8/n8rKSlxdXUlOTmbr1q0c\nP36cjIwMBg8ejJ2dndG0PX5JnxOcPXuWli1bKvv42NnZkZCQQJMmTUhPT2fjxo3ExsZy/fp1nnzy\nSRwdHWtMHSoJeQ2gvxk0Gg1Xrlzhxo0bVFZWcvbsWWxsbDhw4AAdO3YkICCAQYMGGf1IEtxNmLy8\nvFi6dCmpqamsXbsWf39/Ro8eTVBQEMXFxXz99desW7eORo0aMXDgQEMX+bFSqVQ4ODiQkZGBs7Mz\nFy9eJCkpiUaNGhEcHIxarWbDhg288sorREZG8vLLLyu7vIqfnTx5ktjYWI4ePcrJkycZNWoUq1ev\nxszMjMLCQuzt7ZkyZQqurq5GuQt448aNuX37Njt27KC4uJimTZvi6elJdHQ0HTt25Pjx4wQHB1NW\nVsZnn33GDz/8QMeOHRk/fjwNGjRgz5495OXl0blzZ2XkxFjJKO//RqVSkZmZiUaj4fTp01RVVdGi\nRQs6dOhAjx49jHa07V6/19Go0+no378/MTExLFiwQNmlv3Hjxpibm2NtbU27du145plnjC4Zh7t7\ngbi4uLB8+XIOHDiAn58fOp2O27dvk5CQwPjx44mOjmbZsmXk5+fz4osvKrv8azQavL29cXBwMPRl\nPHYqlQobGxsSExO5ffs2wcHBymZbMTExREVF4ePjg6WlpbRt/z8TExPs7Ow4c+YMo0aNAu5OyT52\n7BiWlpa4ubkxcOBAqqqqsLW1ZfLkyUYx0PR79DnBV199RevWrZXvWmFhIfv372fUqFHKsYJ16tTh\n7bffrnbkak2g0ul34xAGpd/wKSMjg6lTpzJ+/HiuXLmiTCn78MMPjX4E6dfMmTOH6Ohodu7cqaxB\n1ccyPT0da2tro6wE4W4cNm7cSEZGBk899RSjR49Gp9MxZ84cNBoNu3btonv37tJQ/R05OTl069aN\nZ555hokTJwJw5swZqqqq0Gg0vPTSS7zzzjs0b968xvSyPm6JiYksW7YMNzc37O3tlc0VAwMDOXXq\nFBcvXuStt95SzsRu1KiR8tny8nKjbNz/ll/WA6+++iouLi7Mnz+f0tJS3nrrrRrXiKgptFotH374\nIWVlZRQWFjJ58mSCgoIMXawaac2aNRw4cABnZ2cuXLjA0KFDWbp0Kd26daNVq1ZYWloSEhICoGzY\nZsydZfe6desWrq6uFBUVKcvl+vXrx4oVK6hTpw7JycnKFH9jmi31R/bu3cvXX39N586dCQoKYvXq\n1ZSVlfHOO+8Y5cyBP6LT6Vi5ciUlJSWMHDmS4uJiFi1axObNmwkMDGT27NkGXe9cU82fP5+0tDQ+\n/vhj4O7Ms5EjRzJjxowav4mzjJDXEPf27p86dQq1Wk3fvn3p0KGDckSLuF+DBg04cuQIDRs2xN3d\nXTkHFKi2i6wxUqlUuLq6smvXLiIjI2nXrh3nzp1TRo6CgoIkGfoDarWa7OxsnnzySdzc3JREXKPR\nYGtri6enJyEhIUbdqeHg4KB0fjVp0oT333+fO3fu0LdvX9zd3Tl37hzBwcE0b95cmUkAKGfxip/J\nKO+js7W1pWXLltjZ2TFu3Dg0Go2hi1RjeXp6Mn36dMLDw5k7dy6BgYE0bdoUZ2dnWrRooRwzpe8g\nkqTyZzY2NspxeQBLly7FwsKCLl26oFarlWOSjOFUjYfh7+9P3bp1SU9PZ9euXXTs2JE33njD6Ed2\nf4v+2K2dO3fi5ORE3bp1ad26NeHh4YSHh+Pj42PoItZIAQEBbNiwQemMnTBhAv7+/nTv3r3GP8dk\nhLyGkN79R7d+/Xq+/fZboqOjDV2UGmnr1q0cOnSIDz74gLy8POzt7Q1dpL8NnU7HsGHDmDBhgnLW\nrv71mv5wf5wuX77MkiVL+O9//0tMTAxffPEFgwcPZsSIEdV+TuL2+6QeEI9DWVkZH3/8MQMGDCAk\nJESSx4dQVFTE3LlzycnJITMzk4YNGzJy5EjpAHoIUg88uJiYGPbt28dHH31k6KL8baxfv56pU6fS\nqlUr+vbtS//+/Q1dpAciCXkNkpOTw7Fjx+jcubOyxkb8sdLSUn788Ueeeuopo1vD+yCKioqIjY2l\nc+fOEptHkJOTo4x6iF+n0+n49ttvyc3NZezYsZw/fx53d3dluYg0+B+c1APir/ZbHY3iwWi1Wk6e\nPImnpyehoaGAPOPEX0Pabw+vtLSUDRs2MHjw4L9VHSoJuRBCPADp1f99Wq2W9evX8+KLLyprKyVm\nQtRM0tH455FkXAjxv5KEXAghhBDCCEmnmRBCGJ506QkhhPjTSB+vEH8fkowLIYThSUIuhBDiTyMN\nfCGEEEKIBycJuRBCCCGEEEIIYQCSkAshhBBCCCGEEAYgCbkQQgghhBBCCGEAkpALIYQQQgghhBAG\nIAm5EEIIIYQQQghhAJKQCyGEEEIIIYQQBiAJuRBCCCGEEEIIYQCSkAshhBBCCCGEEAYgCbkQQggh\nhBBCCGEAkpALIYQQQgghhBAGIAm5EEIIIYQQQghhAJKQCyGEEEIIIYQQBmCQhHz69OkMGTKEZ599\nltOnT1d77/DhwwwePJghQ4awaNGiB/rMgQMHCAoKeixlF0IIIYQQQggh/gymj/sfjIuL4/r166xZ\ns4bk5GTeeust1qxZo7z/wQcf8NVXX+Hm5sawYcPo3r07OTk5v/mZsrIyvvjiC9zc3B73pQghhBBC\nCCGEEI/ssY+Qx8bG0rVrVwACAgK4c+cOhYWFANy4cQMHBwc0Gg0qlYoOHToQGxv7u59ZvHgx//jH\nPzAzM3vclyKEEEIIIYQQQjyyx56QZ2Vl4eTkpPzd0dGRrKysX33PycmJW7du/eZnrl27xuXLl3ni\niSfQ6XSP7yKEEEIIIYQQQoj/0WOfsv5Lv5dI/9Z7+tc/+ugjpkyZ8lD/Xnx8/EP9vBBCCCGEEEII\n8b+IiIj41dcfe0Lu5uamjIgDZGZm4urqqrx369Yt5T2tVoubmxtmZmb3fcbc3JyrV6/yn//8B51O\nx61bt/jHP/7BihUr/rAMvxUM8evi4+MlZo9IYvfbJDb/G4nfw5F4PTqJ3cOTmD06id2jk9g9PInZ\no5PYPZzfGxR+7FPW27Rpw/bt2wE4e/YsGo0Ga2trALy8vCgsLCQ9PZ2Kigr27dtH27Ztf/UzHh4e\nbN++nTVr1rB27VpcXV0fKBkXQgghhBBCCCFqgsc+Qh4WFkbjxo0ZMmQIarWaKVOmEB0djZ2dHV27\nduXdd9/lP//5DwB9+vTB19cXX1/f+z7zSyqV6nFfihBCCCGEEEII8cgMmQI4DQAAIABJREFUsoZc\nn3DrBQYGKn9u3rx5tWPQfuszv7R79+4/p3BCCCGEEEIIIcRj8NinrAshhBBCCCGEEEISciGEEEII\nIYQQwiAkIRdCCCGEEEIIIQxAEnIhhBBCCCGEEMIAJCEXQgghhBBCCCEMQBJyIYQQQgghhBDCACQh\nF0IIIYQQQgghDEASciGEEEIIIYQQwgAkIRdCCCGEEEIIIQxAEnIhhBBCCCGEEMIAJCEXQgghhBBC\nCCEMQBJyIYQQQgghhBDCACQhF0IIIYQQQgghDEASciGEEEIIIYQQwgAkIRdCCCGEEEIIIQxAEnIh\nhBBCCCGEEMIAJCEXQgghhBBCCCEMQBJyIYQQQgghhBDCACQhF0IIIYQQQgghDEASciGEEEIIIYQQ\n4hHcKb1DvzX9OJ5+/JE+b/onl0cIIYQQQgghhDAKB64fYNOFTdR3rE9zz+YP/XkZIRdCCCGEEEII\nIR5BZmEmADcLbj7S5yUhF0IIIYQQQgghHoE+IU/PT3+kzxtkyvr06dM5deoUKpWKyZMn06RJE+W9\nw4cPM2fOHNRqNe3bt+eVV1657zNvvfUWISEhnDx5kpkzZ2JqaoqFhQUzZszA0dHREJckhBBCCCGE\nEMLI/K8J+WMfIY+Li+P69eusWbOG999/nw8++KDa+x988AELFixg9erVHDp0iOTk5Ps+8/777wPw\nzTffMHPmTJYvX07Tpk1Zv379474cIYQQQgghhBBGKrPo54Rc9//YO+/4tsp7/380LMmW5T3iFcdx\nSMgmcUgCAcIIUGiAFkqasnqBFuhlFW5Lb+/9XUIHUFpmmzA6GKFJ2IFAIAkhA5I4y9nDSTzjLdvy\nkGVZ8/z+OH6Oj/Y5smzJ8ff9euX1ciQd6TlHOuc8n+fzHRwne/thd8hLS0uxaNEiAEBxcTG6u7th\nsVig1+tRV1eHlJQUZGdnAwAWLlyI0tJSmEwmv9u88sorAACO42A0GlFSUjLcu0MQBEEQBEEQBEGM\nUphDbnFYYLabkaRNkrX9sDvkbW1tSEtLE/6fmpqKtrY2v8+lpaWhtbU16Dbfffcdvve976G9vR03\n3XTTMO0FQRAEQRAEQRAEMdphghwAmszyC7tFve1ZMFs/0HPixy+99FJs3LgRzz//PN544w3cf//9\nIT+zrKxM/kBHOXTMwoeOXWDo2AwOOn7yoOMVPnTs5EPHLHzo2IUPHTv50DELHzp2PA0dDcLf28q2\noSejR9b2wy7Is7KyBHcbAIxGIzIzM4XnWltbhedaWlqQlZWFuLg4v9ts2rQJ11xzDQDgmmuuwYoV\nKySNgULb5VFWVkbHLEzo2AWGjs3goOMnDzpe4UPHTj50zMKHjl340LGTDx2z8KFjx+Pm3Oj4skP4\nf2JOIkpm+B6XYIsXwx6yvmDBAmzcuBEAcPz4cWRnZyMhIQEAkJeXB4vFgsbGRjidTmzbtg2XXHJJ\nwG1WrFiB8vJyAMCRI0dQVFQ03LtDEARBEARBEARBjEI6+zrhdDuhUWkAhFdpfdgd8lmzZmHq1KlY\nunQpVCoVnnzySaxduxYGgwGLFi3CsmXL8PjjjwMAFi9ejMLCQhQWFvpsAwDPPPMMnnrqKcTFxQlt\nzwiCIAiCIAiCIAhiqGH549OypuFA04GRIcgBCIKbMWnSJOHvOXPm4L333gu5DQBMnTrV72sJgiAI\ngiAIgiAIYihhgnxm9kxekPfIF+TDHrJOEARBEARBEARBECMdJsinZ02HAoqwqqyTICcIgiAIgiAI\ngiAImTBBnmvIRXZidlgh6yTICYIgCIIgCIIgCEImTJBn6bOQa8hFo7kxaFtvf5AgJwiCIAiCIAiC\nIAiZeAtyq9OKLluXrPcgQU4QBEEQBEEQBEEQMvEQ5Im5AOS3PiNBThAEQRAEQRAEQRAyMVqMUCqU\nSItPQ44hBwAJcoIgCIIgCIIgCIIYcowWIzISMqBSqpBr4B1yuZXWSZATBEEQBEEQBEEQhEyMFiOy\n9FkAIAhycsgJgiAIgiAIgiAIYgixu+zo6OsgQU4QBEEQBEEQBEEQw0lbbxsA+AryHhLkBEEQBEEQ\nBEEQBDFkCBXWE3hBnpmQCZVCRQ45QRAEQRAEQRAEQQwl4pZnAKBSqpCdmE1F3QiCIAiCIAiCIAhi\nKPEW5AAftt5obgTHcZLfhwQ5QRAEQRAEQRAEQcggkCC3uWzo6OuQ/D4kyAmCIAiCIAiCIAhCBn4F\neaL8SuskyAmCIAiCIAiCIAhCBoEccoAEOUEQBEEQBEEQBEEMGSTICYIgCIIgCIIgCCIKtFhaoFPr\nkKhJFB5jglxOpXUS5ARBEARBEARBEAQhA6PFiCx9FhQKhfBYjiEHADnkBEEQBEEQBEEQBDEkcBwn\nCHIxQsh6DwlygiAIgiAIgiAIgog4PfYe9Dn7fAR5RkIG1Eo1OeQEQRAEQRAEQRAEMRT4K+gGAEqF\nEjmJOSTICYIgCIIgCIIgCGIoEAR5QpbPc7mGXDSZm8BxnKT3ioogf/bZZ7F06VL85Cc/wdGjRz2e\n27VrF2699VYsXboUr776atBtmpubcffdd+POO+/EPffcg/b29mHdD4IgCIIgCIIgCGJ0EcghB3hB\n7nA70G6Vpk2HXZDv27cPtbW1eO+99/DHP/4RTz/9tMfzTz/9NJYvX441a9Zg586dqKysDLjNyy+/\njCVLluDdd9/FVVddhTfffHO4d4cgCIIgCIIgCIIYRQQT5DmJ8iqtqyM3LGmUlpZi0aJFAIDi4mJ0\nd3fDYrFAr9ejrq4OKSkpyM7OBgAsXLgQpaWlMJlMfrdZtmwZtFotACAtLQ0nT54c7t0hCIIgCIIg\nCIIgRhGhHHKAF+QzsmeEfK9hd8jb2tqQlpYm/D81NRVtbW1+n0tLS0Nra2vAbeLj46FUKuF2u7F6\n9WosXrx4+HaEIAiCIAiCIAiCGHVIFeRSiHpRt2DJ7oGeEz/udrvx61//GvPnz8f8+fMjPj6CIAiC\nIIjhhOM4rDy8Ek3mpmgPhSAIgvCDsZcX5NmJ2T7PyRXkwx6ynpWVJTjiAGA0GpGZmSk819raKjzX\n0tKCrKwsxMXFBdzmt7/9LYqKivDggw9KHkNZWdlgd2PUQccsfOjYBYaOzeCg4ycPOl7hQ8dOPoM5\nZqe7T+On3/4UdxXfhUcmPxLBUY0M6PcWPnTs5EPHLHxG87GrbKoEAJwtP4smpefiaWd3JwDgSNUR\nlOlDH6NhF+QLFizA8uXLsWTJEhw/fhzZ2dlISEgAAOTl5cFisaCxsRFZWVnYtm0bXnjhBZhMJr/b\nrFu3DhqNBg899JCsMZSUlAzFrp2zlJWV0TELEzp2gaFjMzjo+MmDjlf40LGTz2CPWUdVBwBAm6wd\ndceefm/hQ8dOPnTMwme0HzvrXitSdamYf6FvhPa43nHAt4Aj3iEco2CLF8MuyGfNmoWpU6di6dKl\nUKlUePLJJ7F27VoYDAYsWrQIy5Ytw+OPPw4AWLx4MQoLC1FYWOixzbJlywAAq1evht1ux5133gmF\nQoEJEybgySefHO5dIgiCIAiCiBjdtm4AgMVhifJICIIgCH8YLUa/+eMAkBafBo1KE7sh6wAEwc2Y\nNGmS8PecOXPw3nvvhdwGgN/XEQRBEARBjGS6+roAABY7CXKCIIhYw+V2oa23DZPSJ/l9XqFQICcx\nZ+QUdSMIgiAIgiAGIIecIAgidjFZTXBz7oAOOcAXdmsyN8HNuUO+HwlygiAIgiCIGKLLRg45QRBE\nrBKs5Rkj15ALF+dCq6U14GsYJMgJgiAIgiBiCHLICYIgYhepghwAmnpCt68kQU4QBEEQBBFDUA45\nQRBE7CJHkEvJIydBThAEQRAEEUN028khJwiCiFWkCPKcxBwAJMiHhaqOKlgd1mgPgyAIgiCIcwRy\nyAmCIGKXFksLAHLIY4KvK7/GeX87D09upd7nBEEQBBFJrA4r7C77oN/H6XbKen2TuQkPfPEAmsyh\n8/6GCnEOOcdxURsHQRAE4QuFrMcIRosRd669E27OjbPdZ6M9HIIgCII4Z3C5XZi8YjLu/uzuQb2P\n0WJE9vPZ+NOOP0ne5quKr/BG2Rv44vQXg/rswcCqrLs5N2wuW9TGQRAEQfhCRd1iAI7jcPdndwvh\nChRSRhAEQRCRo767HrVdtfji9BeSergGYmPFRpisJuxt2Ct5G5aG1tnXGfbnDhbmkAM0xyCI0UqT\nuQm/2vQr9Dp6oz0UwgujxQi1Uo0UXUrA16ToUqBT68ghHype3/86vjzzJRaNXwQA6LH3RHlEBEEQ\nBDE4/m/L/2HeP+fB5XZFeyioMFUA4IXpidYTYb/P5urNAIDW3tB9YBnMkY6mIGc55ADNMQhitPL+\n8ffxQukL+LT802gPhfDCaDEiMyETSkVgKa1QKJBryCVBPlR8eOJDAMDKH6xEvDqeqqASBEEQI56t\nNVuxt2EvKjsqoz0UQZADQGldaVjvwXEcNlf1C3KLdEHe5+wDMBA2Pty4OTfMdrPwf5pjEMTohDnj\nNZ010R0I4YPRYgwars7IScxBc09zyIVuEuRhUN1ZjZzEHOQYcpCoSaTVa4IgRgwfnfhIVvguMXpg\nIvBoy9Eoj8RLkNeHJ8jL28oFZ4Ll+0nB5oyuQ262mT3+TyHrBDE6Ydei2s7aKI+EEGN1WGG2myUJ\n8lxDLtycO+Q9iAS5TJxuJ+q66jAuZRwAQK/RkyAfpdR21uKFXS/ERHgnQUihvK0ct354K3799a+j\nPRQiBmFC8KgxBgR5By/I45RxYQty5o4DQEdfBxwuh6Ttou2Qi/PHAXLICWK0wtJnarpqojsQwgOW\nAiVVkAOhK62TIJdJfXc9XJwLRalFAIBETSKtXo9S3ih7A7/6+lfY17gv2kMhCEks37scAGCymqI8\nEiIWYQ75MeOxKI+Ed8gNGgMuLbwU5W3lYf1mWf743Ly5AIB2a7uk7aKdQ+69EEBzDIIYnbC2j+SQ\nxxZSKqwzpFZaJ0EuE5bHMS55HABQyPowYnfZ8dyO51DfXR/toQAYKLrT3ittkkcQ0aSzrxNvH3ob\ngG9ILEEAA85stB1yjuNQaarEhLQJuDj/YgDAnvo9st7D4XJga/VWnJd2HkpySgBIzyMXHPK+6Drk\nBo0BADnkBDFaEULWu2rBcVyUR0MwwhHk5JBHmOqOagAQHHJ9nB4Ot0NYxSKGjp1nd+K/v/lv/OvA\nv6I9FAADk6RoVuIlCKm8dfAt4TcrLhhFEAC/4MnuYxWmCqH1VzRo6mmC1WnFhLQJuKjgIgDy88j3\nNe6D2W7GovGLhEmT1ErrUXfI+xcCcgw5AMghJ4jRCrsW9Tn7ZNXBIIaWShNf+JSJ7WCQIB8iBIe8\nP4c8UZMIgG6YkcZit+DPO//s4eQxMRErFyVW/ZIEORHruNwu/G3v36BT63Be2nnkkBM+iH8Tbs49\nqFZjg4UVdJuQNgHz8+cDkC/IWf74ovGLkJmQCSAMhzzKOeRsIkcOOUGMTpggB3iXnIgNvjv7HQDg\n4oKLQ76WBPkQUd3Z75CnDOSQA9QnNNIs37scv9n8G3x88mPhMRa6IzUPcKhhk6RoTdoIQirrz6xH\ndWc17ph+BwpTCuFwO4TziSCAgagJ1lM1mmHrYkGeFp+GSemTsKd+j6wCmvsb9wMALiu8DJl6XpBL\nXcxlgrzb1h2Vop3sniIIclrwJ2IEm9OGfx3414g0IkZiyLf4Pk2tz2IDjuOwvXY7cg25KE4tDvn6\nnEQ+0okEeYSp6ayBAgoUJBcA4EPWARLkkWbd6XUAPI8rmyTFjCC3RyZk/f+2/B8KXioQHHeCiDSv\n7HkFAPDIvEeEvFQKWyfEMId8RvYMANFtfSYW5ABwUcFFMNvNslz7tt42qJVqpMenDzjkUkPWRZNg\n74rnw4HgkCeSQ07EFpurNuNnn/8Mq46sivZQZLHz7E7E/SEOpXXhdWyIFh4OORV2iwlOt5+G0WLE\nZYWXQaFQhHx9kjYJCXEJJMgjTU1nDfKT8qFRaQCIQtYjdMPccXYHXt//ekTea6TS0tMiXDTFEyN2\nYYqVImqRyiFff2Y96rvrcbr9dCSGRRAeHDMew5bqLbhi3BWYnj0dBm2/IKewdUIEW6C5KJ/P2T7W\nGr1K6z6CvH9Mu+p2SX4Pk9WEtPg0KBQKwSGXG7IORCcCinLIiViFnQ8jzSHfUr0FLs414rriiOfA\nFLIeG2yv3Q4AuGzsZZJer1AokGvIpSrrkcTusqO+u17IHwciH7K+bNsy/GL9L0a1477+zHpw4EOL\nxBOjWAtZZ472YCZsTrdTcH1YkQiCkMpLpS/hns/uCfqav+75KwDg0XmPAgA55IRf2AJNflI+xiaP\njbpDHq+OF0L9mCCXk0febm1HWnwaAIRd1A2IjvCgHHIiVmFzMqszekUfw+GM6QwAPnJmJCEuGE0h\n67HBt7XfAgAWjlsoeZtcQy5aelqCvoYEuQzquurAgRMqrAOAXhPZkPUmM7+CMtJWHyPJulPrhL/F\nglwIWY8VhzwCIeuVpkph8lfVURWRcRGjA7vLjqe2P4W3Dr0Fh8vh9zXtve3495F/oyilCIsnLgYg\nEuTkkBMi2AKNQWPA9KzpaOppisq1luM4VJgqUJxWLIQDTsmcAoPGIFmQuzk3TFYT0uPTAQDp8elQ\nQCFZkHs45FFofcYWedmCBAlyIlZg3RdGWoodi7oZaYLc5rJBrVQjSZtEDnkMwPLHMxIyMDljsuTt\ncg25gtEYCBLkMmAF3VgPciDyVdZZ0ZnRKsitDis2VW6CWqkG4OlUsL8tDktMFKSKRMi6uHBSZQc5\n5IR0drftFpy0QG7FPw/8E1anFQ/NfQgqpQoABkLWySEnRLAFGoOWF+RAdAq7tfa2wmw3C+HqAKBS\nqjAvfx5Ot5+WtEhgtpnh5tyCQ65SqpAWnya5qJv4/hITDjmFrBMxAlusIkE+PNicNmhVWhQmF6Km\ns2ZEFqY7l6jprEF9d73k/HEGqwcSjKgI8meffRZLly7FT37yExw96nnD37VrF2699VYsXboUr776\nasht3nnnHUybNg1W69CHz7BwEbFDHsmQdYfLIYRjR2NVPhbYXLUZVqcVi8YvAuA/ZB2IjbD1SLQ9\nO2YcyNMkh5yQw9eNXwt/++sZ7XQ7sWLfCujj9Lhn1kBYOznkhD+YCDRoDJie3S/IoxC2zlJ3JqRO\n8Hicha3vrt8d8j3Y/YEJcgDI1GeOnBxym1cOOTnkRIwwEgV5V1+XEB0z4gS5ywaNSoNxKePQY+9B\nR19HtIc0qpGbP85g1/JgDLsg37dvH2pra/Hee+/hj3/8I55++mmP559++mksX74ca9aswc6dO1FZ\nWRlwm08//RTd3d3IysoalrFXd/Q75KIc8khWWRdfKEarQ87C1ZdMWQLAU4SLJ0nRDlt3c+6BHPJB\nLJ4wB0qn1pEgl4jL7cKSD5fg30f+He2hRI0+Zx++bflW+L8/h/zT8k9R112Hn878KVJ0KcLjse6Q\n9zp6ccmbl+DD4x9GeyijCiFkXWvAtKxpAKLjkHsXdGPIySM3WU0AIISsA0BmQiZMVpOkNmaxkEMe\nr46HPk4PpUI5qmvKELEFu9eMpBxydk0BRqAgd9qgVfMOOUCV1qNNOPnjwEC0UzCGXZCXlpZi0SLe\n/SwuLkZ3dzcsFn71t66uDikpKcjOzoZCocDChQtRWloacJtrr70WDz/88LCNvaarBsBAD3IgslXW\nWywDCf+jsbe1m3Pj89OfI0ufhcsK+dWnPpfIIXfFjkMudiQHFbLechRp8Wm4YMwFqO2qhdPtjMTw\nzmnqu+vx4YkP8bN1P8OptlPRHk5U2FixERbnwDXHn0POirk9PM/zGhnrDnmFqQI763biy4ovoz2U\nUYUQsq4x4PyM86FWqj0ieIYCjuPg5twejwUS5PPz5wOQJ8i9HXIOnKR7R9RzyPu6kKxLhkKhgD5O\nTyHrRMwwEh3yES3IXXzIOjMCqbBbdNleux3J2mQhrUsqMSnI29rakJY2cJNMTU1FW1ub3+fS0tLQ\n2toacJv4+PjhGzh4h1ylUCEvKU94LJIh6+L8ttHokO9r2IcWSwsWn7cYCXEJALzanolD1qPskItv\nRjaXzWMCJxWrw4oKUwWmZU1DcWoxnG4n6rrqIjnMcxJ27G0uG+5dd6/PhH408MGJDwAAl469FICv\nW3Gw6SC+O/sdri2+FudnnO/xXKw75Ex8DFX/Z6PFSAtffhA75BqVBpPSJ+GY8diQ5iwu27YMeS/m\nedw/T7Xzi2znpZ/n8drU+FRMzpiMvQ17Q7rc7P6QnjDgkGcl9FdalxC2Hgs55EnaJAB84diRHrLe\n6+jFle9ciU9OfhLtoRCDZCQKclZhHeAF+UjKw7a77LxDntLvkFNht6hR21mLqo4qXFZ4mVCTRypD\nIsjtdjuamoL3UpNDsBMj0HPROplqOmswNnmsUHAMiGyV9aEW5L/c8EvM+fucmBUwn536DABw46Qb\noVPrAPivsg5E3yH3niCF832daD0BDhymZ01HcWoxACrsJgV27JUKJXbW7cSKvSuiPKLhxeqwYt2p\ndchLyMMlYy8RHhPz1728O/7IvEd8to91h5xN9IZCkDd0N6DgpQK8VPpSxN97pCOusg4A07Onw2w3\nD+kEcMfZHWjuacaRliPCY+Vt5dDH6ZGflO/z+ovyL0KPvSekcx/IIQektT7rc/YJ4e7RyiFP1iYD\nwDnhkB9tOYqtNVvxxekvoj0UYpAIbc/8RGXFKswhn5g+EQ63I2YXo/0hLuoGUMh6NNlSvQUAcFXR\nVbK3ZR0zgqEO+QoAb7zxBrRaLX784x/jlltugV6vx4IFC/DLX/5S9qCysrIERxwAjEYjMjMzheda\nWwduli0tLcjKykJcXFzAbQDIqnQHAGVlZbLH3efqQ1NPE+akz/HYvs7CO5q1TbVhva/HuCoHtj9V\newplCYN7P29WHVqFNlsbPtn+CYoMRaE3EI9tkPsmhfcPvw+tUov0rnScOMr35m41tQqf3dQ6sBB0\npOIIyjD0YwpEpdlTOO8s24lxieP8vjbQsfuijp+cJPUlQWnn18a2HtqK1I7UyA00xgnnd3Ww/SAA\n4KaCm7ClaQue+PoJFNoLkZeQF2LLc4PdrbvRY+/BD/N/iA4jX+Dl8InD0LXyi1gmmwmrjqzCWP1Y\nZHZl+hzjs91nAQBVDVXDcl7LhYmzJlOT5PEZrUa8WfEmbh13K4oNxQFft3HPRthddmw6vglX6q6M\nyHhHKr3OXrg5NxLj+Civuhb+XlZ1sgptmjakOXgxu3bXWlyWfdmQ/FYqW/nr6Ff7v4LWqIWbc6O8\ntRxFhiIcPHDQ5/W5bt5leG/Xe3AWBo5yOFrJ57631bWhrI8ft7WdFxC7j+6God0QcFs354bD7UCy\nKhntaEd1U3XY+x7Odg63A33OPijsCpSVlUHpVKK7rzsmz1Wp7GjeAYD/jUndj5G8v9FmKI9dQ0sD\nAKC9u33EfEeHzh6CSqFCkbYIp3Ea2/Zu85kvDPe+WJwWtPe1Y2zi2KCvszqscNlc6KrlFwYP1RyK\nueM+XOM51nEMOQk5SNemh37xEPDhQb6uzRjrmLD2Wa/WB31ekiDfunUr1qxZg08//RRXXHEFfv3r\nX+Ouu+6SPRgAWLBgAZYvX44lS5bg+PHjyM7ORkICH56cl5cHi8WCxsZGZGVlYdu2bXjhhRdgMpkC\nbgPwjrkc17ykpET2uFmu6oyCGR7b5/XkAVsBXZIurPcV84HpA+FvXfLg309Mk7kJbV/wixqWFAtK\nLpD+3mVlZREdiz8qTZWo+qIKN0y8AZfMu4QPSfwK0Og1wmfrq/QAfy+ALjWyx0curgYXsH3g//nF\n+SjJ9x1PsGO3pn0NAOD7c74PDhyeOvwUnAZnVPdrOAn3d9Va0QqUAhdOuBC3lNyCO9begVeqX8Hm\nOzfLXpwbiRw/fBwAMFY/FiljUoDTQEFRAUom8cfyme+egcPtwK8u/RUunHOhz/YZnRnAt5G/xkSK\nM8fOAPsAt9oteXwPf/kwPqr9CJuaN+GjWz/C1cVX+7ymrKwMY4vHAruAHlVPWPv+wfEPoIACt069\nVfa2sca1/74WRosRB+/nha/qOB+Cd+m8S6FWqtGY2IhXT70Kq4EXspH+rXAch7aN/fekBAtKSkpQ\n01kDm9uG2WNn+/08XYEOfzzyRzQqG4OO593WdwEAF828CLNyZgEAzmjPAMcBQ7Yh6LZWhxVYDxRm\nFKKqpwqKeEVY+x7u9a2ttw34EsjPzEdJSQkyDmWgqqcKs2fPHrHXt/379wMANIkaScdkOOYc5ypD\nfewSKhOARoBTcyPmO2ra2oTClEJMK5yGjY0bkTM+ByV5A2OPxu/t/s/vxzuH30HNL2swJnFMwNc5\n1juQkpSCqy66CvFb49Gl6Iqp4z5cx665pxnzX5qP26ffjrd/8PaQf543HMfh0LZDyNJnYcnlS8K6\nFueVBjeNJIWsq9VqKBQKfPvtt0JxNbc7vLDnWbNmYerUqVi6dCmeeeYZPPnkk1i7di02b94MAFi2\nbBkef/xx3HHHHVi8eDEKCwt9tlm2bBkA4MUXX8QNN9yA1tZWLFmyBE899VRYY5KC0INcVGEdGKiy\nHomQsqEs6lbWNLCas7dhb0TfOxJ8fvpzAHy4OsD3jVUr1YGrrEc5ZJ2F1cYp4wCEF7LOKhhPy5qG\n8anjAQBVnVRpPRTs2Os1etw2/TYsnrgYW6q34B8H/hHlkQ0P7LdmiDMgXs3X0RDnkB9s5gXWLVNu\n8bu9kEN+joSs2112rDm2BknaJPQ5+3Ddquuw8vBKv69l1+mzXWdlj8vNufHzz3+Oxzc9LnvbWOR0\n+2kcbTkqpDCZbWbo1DohJWuoK6132bqE7/pEKx8RdbL1JADg/PTz/W4zOXMykrXJKK0LXtjNb8h6\ngrSQdVY81KDlz6/hDllnv3txDrmLc8Husg/rOCJJc08zAOqnfi45/O1PAAAgAElEQVQghKzLqLJe\n11WHN/a/EdA4+6bqG6F6daTptnXDaDHivLTzkJGQASA2CrvtrNsJm8uGXXW7Ar7G5XbBxbmgVWmh\nUCgwLmXcqC3qdqj5EJxuZ9Ry6E+1n0JTTxOuLLoy7IXRUHnkkhxyg8GA++67D83NzZg1axa2bt06\nqJXaxx/3nNBMmjRJ+HvOnDl47733Qm7DHvP3+FDgrwc5AKH4WKznkJc1DgjyfY37IvrekYDljy+e\nuFh4TKfWBe5DHuWibmxikWvIRW1XbViTtmPGYyhIKkCyLhlJ2qRzovVZn7MP7b3tHoUPIw2bxCfE\nJUChUOD177+OqbVT8atNv8J1E65DQXLBkH12LCAW5Lo4PkxdnM/Hjg+b0Hsj5JDHaB6d3KJuX535\nCu3Wdjw2/zHcMvkWLF6zGA99+RBun367T+EVdmyazE1wuByIU8VJHldVRxW6bd0jqiBQMHodvXBx\nLnRYO5CekA6z3Sz8NgCgMKUQiZpEPl97XOQ/v767Xvj7eCsf9VHeVg4APoUIGUqFEvPy52FT5Sa0\n9bYJE2xvAvUhB0IXdWP3HJ1ah2Rd8rAXdWNV3VkOubiTi1atHdaxRApBkI/w4nTEwL1GTlG3P+/8\nM5bvW47ZObNxYZ5v1NZPP/0pNCoNqh6N/Pyn0sSnxUxImxAzgrzP2Sdc6/bU78HNk2/2+zq2OMjO\n+8KUQpxsOwmzzSwsrI8WjrbwC8NssXW4+abqGwDAlePCT3ULJcglOeQvvPAClixZgrfffhsAoNFo\n8Nxzz4U9qJGIvx7kAO/kJsQlREyQx6vjEaeMGzKHvDC5EIeaD3mI22hjsprwXe13mJc3zyN0R6vS\nerQ6Y3+rFCoPh7y8rXzY94dNLNgJJnfSZrKa0GhuxPRsvnWCQqHA+NTxqDRVjugJ/++2/Q7n/e08\nNJkjV/jRG7EgB4C8pDy8eO2LMNvNuP+L+0f08ZNCh5XPG0+KS/LrkLPjw57zJk4VB61KG/MOeY+9\nR1IBypVHeDf8rpl3YcHYBbj5/JthtpsFkSeGnbccODSaG2WN60DTAVnjinXYcWYLwd22bo9JnlKh\nxLSsaShvK4fD7Yj45zd0Nwh/13fXo9vWHVKQA6J+5EFccpPVhDhlnCBmASBL319lPZRD3n8v0aq0\nSNGlDHvbMx+HPIJReNGi2UIO+blCOFXWWZVzf5FJHMehtbcVZ7vOSu5+0evoxRXvXIE1R9dI/uxY\nEuQnW0/CxfGdIvY07An4OvG1CMBAYbdRWGn9iJGvLRMtM25LTX9Bt/HyC7ox7poRPNVbkiBXqXiX\nYevWrfjoo4/Q1NSEXbsCh1mci/jrQc7Qx0WmLUmLpQXZidlI0aVEfFX+QNMB5BpysXjiYjjcDhxu\nORzR9x8MX535Ci7OhZsm3eTxuLdD3ufsg1alRXpCunBS1nbWYtqr0/CD938wrJNkdjMKV5Cfbj8N\nAJicMVl4rDi1GF22LnT0dURolMNPTVcNrE4rdtfvHrLP8BbkAHD3BXfj6vFX46uKr/DukXeH7LNj\ngU6bKGQ9rl+QeznkOrUuaFsOg9YQsw45+345cCEn8CarCZ+f+hzTs6ZjZvZMAMBFBYEFm3gSWdct\nr8XgwaaDkscV63DcwD4wQW62eTrkADA9azofJtgT+Qlgg5kX5MzFPtl6EuXt5VBA4dPyTIwgyIP0\nIzdZTUiLT/OI5GNV08WRaP4QO+TsXjyci3xsMV5cZR2IjLv84fEP8WLpi7K2eXn3y/i68utBfS45\n5OcO7Pywu+wh2w8yWMqnv0XQPmcf/16cS/Ii6eHmw9hWsw3vH38/5GtZhXU5IesWu2VI55PirhL7\nG/cHPI4sTYU55KO5FzlzyKORrupyu7C1eivGpYwT0kvD4doJ1wZ9XpIgv/fee7Fy5Urs378fZWVl\nwr/RRHVHNTQqDXIMvqXrEzWJYTnkp9pO4VDzIQD8BMloMSJLn4VkXXJEV+VbelrQYG7A7JzZmJs3\nF0Bs5ZGvO70OwED+OEOn1vn0IdeqtUiPTxdOyoPNB+HiXNhQsQHL9y4ftjGzyWyegQ/NlivI2evZ\nJBGAcKKzEKuRCLtZi2sWRBp/glyhUOAfN/wDiZpEPLrh0SF16KMNc8gD5ZBb7BaPY+MPg8YQsw65\neNIeKmz9/WPvw+F24K6Zdwnia37+fADA7gbfRSGxkK7rkinImweqfg9Vj/ThwuaygQMvMo0WIziO\nQ4+9xycMcnoWH8FTYa7weHzH2R1YvHrxoO5TzCFnLWROtJ5AeVs5ilKLhLaX/piXPw9AcEHe3tvu\nEa4O8JEhqbpUyTnkOrUOydpkoer5cOEvhxyIjLv89HdP4zebfyP59VUdVXhs42N4YP0Dg1qUoBzy\nwWGymob1NxgM8Tik5JG7ObcgINkinBjx3ElqSy/WHlaKMGWC3J9DbnfZ8Yftf0Bb34BAbzI3Ifv5\nbNkLV3JghtjkjMmwOCx+o7kAUci6t0M+ylqfOVwOoc5In7NPVnRGJDjcchgdfR2DCleXgiRB7nQ6\nsXLlSjz77LMe/0YTNZ01KEwuhFLhe8jCEeRHW47iwn9ciEUrF4HjOHTZumB32ZGlz4q4Q87EUUlO\nScwJcpvThq/OfIXxqeMxJXOKx3NatdbHIdepdUhPSIfJaoKbcwtFgBRQ4ImvnwjZnzZSeIesy52Y\nsklXsi5ZeIz1Ih/JeeRsAWW4BTnA51c9t+g5dPZ14j+//M9zNnSdXRsS4xIDOuQhBfkIcMiB0Hnu\nK4+shFKhxG3TbxMem5I5BUnapIg65BzHCSHrUsYV64iPg9FihMVhAQfOxyFnhd0quj0F+buH38X6\nM+uxuWpz2GNgOeRXj+cr4u84uwNGizFouDoApOhSMCVzCvY27PUb4urm3Ojo4/PivcnUZ0rOIWch\n60Dka7oEQ8gh10XeITdajHC6nXC4pKUgbKrcBIC/J4UbVcdxnCDII5HaN9roc/Zh0vJJ+I9P/yPa\nQwHgPz0qGE3mJsHp9eeAewhyiaHYzLSQIsjPmM5AqVCiKLVoQJBbeQG+/vR6PLntSbxfM+C0H2g6\nAIvDEjSUfLAwh/zeWfcC4PPI/cHmUxqVBsDodchPt5/2SJsa7rB1VnDwyqIYEOQTJkxAR8fIDaMd\nLD32HrT2tvrkjzP0Gr2sld+G7gZcv/p6mO1mtFvbUdNZI4TRZeuzkaxNhtVpjVhVVVbQrSSnBBPT\nJyJJmxQzgnx77XaY7WbcOPFGn0KBOrXOJ4dcq+IdcjfnRldfF8rb+ZzDv1z9F9hcNtz+ye3DspIs\nOOT9xctYGLFU2KRLXHhLcMg7Rq5Dzr6vssayIRPEgQQ5ADww5wEsLFyIT8s/xc66nUPy+dGmo68D\nSdokqBSqgDnkbBIfCIPGgB57T0S+o3cOvYPivxZHLCpBPMkL5kSfbj+N3fW7cfX4qz2KpSgVSszN\nm4tT7ad8CsCIRY2cSuuN5kYPZ3WkO+Ti+1Vrb6sQLeFdCJDVuPB2yNk1ajAV2JlbxlrUscKegSqs\ni7ko/yL0OnqFMEYx3bZuuDm3j0MO8JXW263tQcNR2SSYOeRA5LueBCOUQ/7qvleF9Ak5cBwnOINS\nK2QzQQ4An5z8RPZnAvz+sHuyzWWTHOZM8DR0N6Cttw0fnfhIWNiIJuL5lRRBzsLVgdAOudRrMrv+\ndNm6Qi6WVZgqUJhcCI1Kg1RdKhRQCOfByTbe0KnpqRFez9IJ5dYYkQrHcTjcchjjU8dj0Xi+a1Ug\n8e/jkKeMzhxydp9hCxPDHbbO2l6z++FQIUmQNzc345prrsHSpUtx++23C/9GCyw8xF/+OMA75A63\nQ5KANtvMWLxmMeq76wVH+HDLYbT08C3PmEMOyHddA3GgmXd2SnJLoFQoMSd3Dk61nxr2YjX+WHeK\nD1e/6fybfJ7TqrQ+VdZZyDrAhx2dbD0JjUqDR+c/ivtL7seRliP4n2/+Z8jHPdgccu9JFwAUp/EO\nOSsgOBJh31drb6tHFeVIEkyQKxVKPDDnAQB8ntm5SGdfp3CN8OeQWxyhQ9aTtElwc+6IhH5trdmK\nqo4q/PvIv2Vv63K78MHxD4QwfEB6yPq7h/laAXfN9C2UwvKMvZ2HcB1yFq7OjutIF+TeDjlz/L0d\n8oyEDIxJHINKs+ciYaQEuT5Oj8LkQuQk5giTrFAOOQBcXHAxAP9h68w9EacDMbL0WXBz7qCVegWH\nXB0lhzxIDnlVRxUe/PJBPLX9qbDel7lM4utFIJxuJ76p/gYFSQXQqXX4+OTHsj8TgI+IpDxyeTAR\n6+JcWHVkVZRH4xWyLuF3JJ7PiAs5MgYTsg4Ed4t77D1o7mnGhLQJAPgizKnxqYIgZ0UkxTUymCD3\nN9ZI0NzTjLbeNszInoGpWVOREJcQWJA7Pausj0kcA41KM+oEOYsoYPf14XbIWTviQBowUkgS5Pfd\ndx9WrFiBxx9/HI8++qjwb7QQqAc5g1VyDRWO5XQ7seSjJTjUfAj3l9yP569+HgAvHLwdciByk4Cy\nxjJk67ORk8jnv8/N5cPW9zfuD+v9tlZvxfaa7YMeF8dxWHdqHVJ1qVhQsMDneZ1aB6fbKayoi0PW\nAV6Ql7eVY2L6RKiVarxwzQuYmD4RL+1+adBFaELBJhVZ+iyoFCrZixveky5goE9utHusDwZxzv9Q\nha0HE+TAQOg/yx071+js60SqLhUAfBxyjuMkh6wDkQm9Zr/Xfx+VL8if3/U8fvzRj/H3sr8Lj0lx\nyN2cG+8eeReJmkT84Pwf+DwfqPCXWAzIySFn4epMCIbKv2/paQkYhhgL+Ajy/v3x10pnetZ0NFmb\nhO/C7rILTpY/h1oq9d31yEvKg0KhwNSsqcLjUgR5sMJu/nqQM4Re5EHC1j1yyPvDxodz8TqQQ95j\n78GZdr5idDh1RsT7LMUh39uwF922biyeuBjXFl8r5PjLxUeQUx65LMRO7duH3456Kpa/FpvBEDvk\n/lxncfTJ2W6JDrlJmiAX548zMhIyfAR5XW+dMM88bRpwyIfiWDNxOTN7JtRKNebkzsFx43G/9xRv\nh1ypUGJs8thRF7LOFn4vH3c5gPDmyEdbjmJL9ZawPr/SVInMhMwhbzUnSZBv3LgRc+fO9fk3WgjU\ng5whpS0Jx3F4cP2D2FCxAddNuA7Lr1+OmWP4qsCHWwYEuYdDHoEwuVZLK+q661CSWyKEhA82j/z2\nT27HHWvvGPTYDjUfQl13Ha4/73q//YDZqiC7KIlD1gH+JDXbzcIETq/RY/XNq6FWqvHTT386pKto\nbGKfqEkMq1etP4ec/T2c4ZGRRpxiwFIlIk0oQc5uvhUdQyvIPz/1ObbVbBvSz/DG5Xah29bt65D3\nT7DtLjvcnFuYxAdC6EUegcJu7Dw70nJElkCr6azB77b/DoBnKyqPHPIA4/uu9jvUdtXi1im3+v0d\nsMJf3tX+2XunxaeF5ZAvLFwIILRD/siGR3DJW5eEzFeOFlIdcmCgsBurz1HTWSOEfFeYKsISWDan\nDW29bchPygcATMkYqB8iRZBPypiEFF2K3zoB/nqQM1gv8mCV1qOeQ24LkENutwgCo6qjSrZYEJ9j\nUpxNFq5+TfE1uGXyLQDCC1snh3xwMKc2WZuMY8ZjHsUlgzEUrWA5jvO4x8sR5MWpxTDbzT7XdLkO\neY+9By2WFqGekxRBfl7aQNeGjIQMtPfyaStMkDvcDuF9mEPucDuGxBxhgnxG9gwAwLy8eeDA+TXI\nvKusA3xhN6PFKOkcPlc42nIUYxLHYFL6JADhOeQPf/Uwrl91vexUYKfbidquWiGCdSiRJMjj4uJQ\nWloKm80Gt9st/BstBOpBzpDikP9555/x9wN/xwVjLsD7P3ofaqUaOYk5yEjI4EPWLXzIenZitnAj\njsQk4Luz3wHg88cZgiBvlC/Ie+w9aOppQn13/aBXulm4und1dQartCvkn7GQ9X6HnOUIi1uHleSW\n4PeX/x5NPU34+ec/H5Y85nCK8Pkr6hanikNCXEJMpBKES5+zT3Bto+WQp8anIi0+bcgd8jvX3omH\nvnworG3XHF2DRSsXyb6pssm6IMjVniHroY4NQxDkEXTIAWDVUWkhlRzH4eGvHhYWEsSTNPF1JZDw\nXXl4oPe4P9Li0zApfRL2NOzxyBdmx+f8jPPR1tsm+fgfbDqILH2WMCEIJch31e2C0+0UJnexhlgU\nhXTI+/Pm2GILc6dUChU4cEL1Wzkwp4x1qWDpW2nxaULhpWAoFUrMz5+Pyo5KH3HNHHJ/IeuCQx6k\n0ro4hzwagjxgDrljQJBbnVbZ+cRyHfJNlZugUqhwxbgrsHjiYqiV6rDC1tk42XdNDrk82Lny8NyH\nAQBvH3rb4/m23jZsr9mOV/e9igfXP4j7S+9H1l+yoHtahw+OfxDRsYjFOCBRkPfPn1l0kXceuXcO\neag5Gyt6y+a0wVL8AjnkLs6F8rZyj/vfqfZTsNgtHql2QxG2zvppiwU5AKw+uhr7G/d7zP+8+5AD\nAzrkXA9b31CxAW29bejq60JtVy2mZ00X5v7hLJS09rbC5rLJTgmt766H0+0cVLszqUgS5B9++CHu\nuecezJw5E1OmTMGUKVMwderU0BueIwTrQQ6EFuTvH3sf//3NfyM/KR/rb1svTHoUCgVmZs9EVUeV\ncOGIdA75in0rAEBY4Qb4QmQ5iTlhOeTiH/Ngq4GvO70Occo4fG/C9/w+zy5CNqeND13nXHzIev9E\na8fZHQA8BTkAPLHgCVxWeBnWlq/FmwffHNQYA8EmFfo4PZK18h1yJqy8iyglaZNGtkPutCE7MRtj\nk8eirGloCrsxMRGsNdKEtAmo6qgasgJCFrsFXbaukC2UAvG3vX/DN9XfyK5czHKtU+P7Q9a9HHJ2\nbCSHrEfIIS9KKUKyNhmrjq6S1L/1s1Of4YvTXwhVvMUTo1Ah672OXnx44kOMTR6LywovC/gZ8/Pn\no9vWLXRiAPjvTQGF4JhIqXPQ3tuO2q5azM6ZLZyvwQS50WIU3jdWCzSKj3Frb6uwP/4ccvYdsbBB\ntk/s2IeTR86Oj7cgn5wx2ae4ZyBY2Lp3FETQkHV96JB1cQ75cBd1O9N+BjvO7kCiJlGYV3g45KKo\nH7m/LTkOeWdfJ/Y07MH8/PlI1iUjNT4VVxVdhQNNB2SHyzJBzhwmqrQuDyZg7519L7L0WVh1dBUe\n/vJhXPnOlch+PhuZf8nE5e9cjge/fBCv7n8VB9oPCPfGryq+iuhYvH83UhZ2qjurkWvIFQSNd9g6\nmztlJmTC4rAEre8ADCwIsnaJbH7uD5bi4SHI4/kFPzZ/ZIusp9pOCfNwBRR+xxoJDjcfhj5OLxyP\niwouglKhxD8P/hMX/uNC5LyQIywEsAUQVswMGNmtz5xuJ/Y27A05LzvRegLXrboO8/45D5+f/hwA\nv4DB5v7hOOTsuiN3kZz93lgq5FAiSZCXlZXh5MmTKC8vF/6dPHky9IbnCNUd1YhXxyNLn+X3+WBt\nSXac3YG7Pr0LBo0BX972pUc1YIDPIwGAb6q/AcAL8kjlkB9uPowt1VtwZdGVQng8Y27eXDSaG2Wv\nAIrzgQYz2bQ5bTjQdADz8+f7iFKG2CEXrxSyVTK2IOAd4qhSqvDuD99FsjYZj254VLgoB6Pb1o27\n1t4l+WRl33V8XDxSdCmwOCx+W/AE+zzAV5AnayPbg364YXn+JTklMFqMaDA3oNXSik/LP42YOO91\n9CJeHe+3BSFjQtoE2F32ISssxyJaTFaT7P2y2C3Y17gPgPxcUHZNSNHyi3ZalRYKKHwccilV1oHB\nO+SsxVReUh5+NOVHqO+uF1qEBKLH3oNHvnoEcco4/OvGf/mMI1Tbs8/KP4PZbsadM+4M+hvwJ9hY\nfv3Y5LEApFX1PdR8CAAwa8ws4XwNdtzEqRrh5PoOB+JjbLKa0NHX39vej0M+JXMKFFAMCPL+fWK5\n++HkkTORwULWLxhzAXISc3BN8TWS34MtxHpPTNlkLWgOeTCH3BWeQ/6H7X/A+FfGh73I1WHtwOI1\ni9HZ14m/Xfc34bftzyEH5C+Iy3HIt1RvgZtze3wfTACx80EqzZZ+Qd4/oaWQdXk0mhuhgAL5Sfm4\na8ZdMFlNWL5vObbWbIU+To/FExfjiYufwDs/eAf7f74f3133Haof5ees4VTjD4Z3B5tQDrnD5UB9\ndz2KUoqEua/3nJOdW2yOGsr5ZfPOC/MuhEFjCB6y3lEBBRQe7iaLwGGC/KZJfEHh8rZyYf53wZgL\n+LH6qQo/GOwuO062ncT07OnC+Z1ryMV3d3+Hl699GRcXXAyr0yrMs72LugEju9L6xyc+xrx/zsOG\nig1BX8eu6VUdVbhrLR8FN1iHnF2Xz5hC6wEx7Do7HA65WsqLXnnlFb+Pj5bCbjWdNRiXMi7gyn0g\nh7y6oxo3vXcT3JwbHy/52G/JfHYRau5phlKhRHp8esRyyF/e8zIA4LH5j/k8NzdvLj479Rn2Ne4T\nWndJQeyQD2ayyW7K/nrFMgSH3GXzmCSJQxEVUGBSxiSfbccmj8Vr338Nt31yG27/5HbsvGen3zx1\nxteVX+PdI+8iIS4Bry9+PfT47RZBFIojGoLtj5iuvi7o1DqPlU+AD2EfyQU7WJ5/SU4J1pavxYq9\nK7DyyEo0mhtRem8p5ufPH/Rn9Dp6Q+ZIT0jtzyM3VQg3sEjCuiI43U6Y7eaAi0r+YOHMgPxFLSac\nmEOuUCigU+uECbbkkPUIOeSdfZ1wc26kx6fjjhl34F8H/4VVR1YJxVf88bttv0Nddx3+99L/xZzc\nOT7jCFVlfeURPlz9zhl3Bh0bc0XEkypWgb4gqQCAtErrrDXO9KzpkhxycapGrDrk3mHDbNLhzyFP\niEtAgb4AR1uOguM4waW9adJNeHTDo2E55GxSzu49Bq0Bjf8lz41i911vgSeErPu5FrNFdUkOuUor\nuajbnvo9eGr7U0Je6oV5F0rcCx6Hy4FbP7wVp9tP44mLn8B/XPAfwnNscc1sM6OqowpKhRJuzi1f\nkMtwyMX544zsxGwA8t0pwSFngpxC1mXRYG5AdmI21Eo1nrr8KczPn4/ClEJMzpjs9z5Y1lQGlVKF\nGdkzUNZUJqT6RQJ2bqgUKrg4V0hBfrbrLNycG+NTxwvRMIEc8hlZM7C5ajPOdp3F7JzZAd+TzTsn\npE3AuJRxqOmsAcdxfufnFaYKjE0e67H/3oL8hkk34C+7/oJT7aeEhdrLx12Og80HI+6Ql7eVw+l2\nYkbWDI/HLy64GBcXXAyLw4JddbuEc8S7qBswsnuRMyMjWA0P8fOXjr1USLudnj19wCGXKcg5jhMW\n0eU65MMpyCU55CqVSvjndruxZ88emM2DD3UcCXT1daGjryNg/jgQWJCvOroKJqsJz1/9vNBr1Rvm\nkAP8hUKlVEUkb625pxmrj67GxPSJuP68632eD1bYzea0BXSVI+WQswtOMOEgdsjFYYTiiVZhSmHA\n9/jJ9J/g9um3Y1/jPvx++++DjoddADZUbJDkeIpFYTg5/922br8iLlmbzC9ADEFBluGA3fxLcvn8\nrj/t/JNwU4uUWyilirhQ2M1PHnl9d31Y1YLFsBsLgJAhdt6IC8HJPYcEh7z/GgHwURpsgi3lvAKk\nOeQ7z+7ExyeC54yK3cjLCi9Denw6NldvDvj6Iy1H8NLulzA+dTz+99L/hVKhhD5O7+OQs0mTt/Bt\nMjdhU+UmzMub53chTozgZts831uv0aMguV+QS6i0zsaQFp8mLGRIEeQKKGJWkHu3bWTjDFRFtthQ\njI6+DjT1NKHSVIkUXQoKUwpRlFIkFCmSA1skYZP0cGC/cW+BZ+qTELIuN4fcFvjabnPacM+6e4RU\nDTnFAgF+svjIV4/gm+pvcOOkG/HMVc94PM/uM+Xt5bC77MK9ezAh68GEFMdx2Fi5ESm6FGHBDBgQ\nMqxCtVSae5ph0BiExRByyKXDcRwazY3CeaLX6HHLlFswJ3dOyEXp2Tmz4XQ7hWKMkYDNw9iCcKiF\nHTZfLEopEhbfAuWQCw55iFBs9rsfnzoe41LGodvW7XfuZbFb0Ghu9AhXBwZ+x2xsF4y5ADnxOTjV\nfkqosM4WlCMtyFkrVpY/7g27prHz069DnjxyHXK2P96RFt6w+dUTC57AqptX4eezf46Z2TORqElE\nnDJO9qKg3WUXTBDZIesdMRay/tBDDwn/HnvsMbz77rtobIx8bkUsIlRYD9J/Tggp854Y9E/UF4z1\nbenFmJw5GXFK3rnN1vMr0JFotfLavtdgd9nx6LxH/YZ1shutP0H+YumLmLR8kt+2PWJBPpiiWeym\nHCy0Vqiy7rR5hKyLJ1qhKvKuuH4FCpML8cyOZ4QVUX+wyUptVy1OtZ+SNH42dhY+LEeQd9m6PFqe\nMYTvfgTmkbMKrDq1DnNy5yBOGYdsfTZ+s+A3AORPVAMxWEF+59o7Mfcfcwd1fjGHHJDvGG2v3Q6l\nQgmVQiX7HGK/Mdb2DOALu7EbuOSQdQkO+aMbHsWSj5YE3T+2Up0enw6lQomLCy5GTWeN34mMm3Pj\nF+t/ARfnworrVwj570naJEHgsrZtYxLH8OPzWjBYfXQ13Jw7YDE3Mf7cbIvd4hGyLuU3yRZaEzWJ\nkkPWs/XZKE4rjvmQdbbQzFyAQJEeEwz8+XSk5QiqOqqEycn07Olo7W31OB+kwFJJWMh6OIhDucUE\nC1lnk3FJVdbFOeRBrhVPf/c0TrSeEI6J3DSZ5XuX4/Wy1zEzeyZW3bwKKqXK43m24M8WPq4YdwVU\nCtWQhaxXdlSiprMGi8Yvglo5EEQZrjvVZG7CmMQxAedJRGA6+jrQ5+zzSXWUwqwxswBAclV2KbDf\nDfsthHLIWURlUaooZN2PINeoNEIud6g0osqOSmTrs5GoSQzqFjMhJa6wDnhGzuQn5SNRk4jCxEI0\n9zRjf+N+qJXqgAXoBovQ8swrhZThnf7qzyHPS8qDSqEakTU7iYEAACAASURBVA65UKDZFdxwEreB\nvm36bfj7DX+HSqmCQqFAWnya7GuQ+H4djkOuVWmRY8iRtV04SBLk3jidTpw9K61f4EgnVA9yILBD\nzm7i/oQXQ6PSYHImnwvHVpClrMoHo8/Zh9f2v4ZUXSp+OvOnfl+TokvBxPSJ2Ne4z6cIU1lTGThw\n+MeBf/hsV91RDYPGgGx99qDcHynCwSOHXBSyrlFpBIfPu6CbN8m6ZPz7Zr4/8p1r7ww4sRJPVkLl\ntwD8pIJNMMQpBl9Xfo3Mv2SGdI2COeTA8Pa9jRRCiw6VFhkJGdj383049p/HcNv02wBIy9eVghRB\nzgoI+Wt9VmmqhNluHlQF2nAdcovdgr0Ne1GSU4LClELZgo0VdfNxyOWGrEtwyFl7q2DnAxM/bJKz\noIBffNx5dqfPa988+CZ21e3Cj6b8yKOQo0FrEBYGbC4b3JxbWJz0dqJXHlmJOGUcfjz1x0H3DxAJ\ncvvAe/Q6eqGP08sKWRcLcnbcAjnk4jaTxanFaO1tjUjhvEjDJnzegtxfyDoATEjiBfmGig2wuWzC\nghdriSY3bL3B3ACVQhWwLosUArUbNVlN0Kg0fu8tGpUGydrkoA45mzTq1DokahKhVCgDLrYeaTmC\nZ3c8i4KkArz6/VcByBPkGyo24Jcbf4lsfTbW/WSdMJcQw/aDjeH8jPPDunZIDVnfWLERAHDNeM98\n/nAccpfbhdbeVl6QB6m1Q/jHuxuBHGbl8IL8QNOBiI3H2yEPKchFDnlGQgbilHF+Q9aTtcmScqMd\nLgdqOwdaUAUT5P4qrAPw6OLADJ1CPf/ZbGEtPT4d8er4iDvkrMI6u2564+2Q+2t7plaqkZ+UPyKL\nurF5vFSH3N/9IT0hXbYJIr4HN5gbZC0KVnVUoSi1KGi9mkgh6RMWLlyIyy+/XPg3f/78UdOHPFQP\nciCwIGeCWjx59gcLW2c5WoMt6rbqyCq09rbi/pL7g4Y1zc2bi25bt8+KERPa7x9/3+OHy3Ecqjur\nUZRahOK0YtR21sLhcoQ1RimhteIccnFeHzAgAEIJcgC4ZOwl+O0lv0VNZw1+s/k3fl9j7B1wTKRU\nJhWLQnGKwetlr6Otty1oqK/T7USvo9ej5RljuKv6RhJhNbf/5jFzzExkJGTIEj+hYA5qKMGZmZAJ\ng8bgM2nlOE6YmL55KPwK/OKWQ3IEeWl9KRxuBy4fdzmKU4vRYmmRVXVYcMjjPR1yIWQ9QlXWex29\nwir0F2e+CPg+3i2mLhl7CQD4RKO0WlrxxNdPIFGTiJevfdlzLBqDsDDAJiIGrQH6OL2H8D3cfBhH\nWo5g8cTFkmo1eDvkbs4Nq9OKhLgEGLQGJGuTJYWsCx0VNHqolCqfcYlh4eolOSWCYxqLYeuCQ548\nzuP/wULWAeDT8k/5//fvGwu9lFvYraG7ATmGHB83WA4BHXJrO9Li0wLWfMnUZwbNIRe7UgqFAim6\nFL/XY6fbiXs+uwdOtxNvLH5DqBQvVZCfaD2BH3/0Y8Qp4/Dp0k+FqA1vdGqdUPUZ4AUGu3bImVhK\ndcg3VfH5495pduEI8tbeVrg5t4dDTlXWpcNqLYTjkE/Lmga1Uh1Rh5zNw1j0SajigIIg7xc0OYYc\nn6JuXbYupOhSkKXPglalDSrIz3adhYtzCdefYILcX4V1wEuQp/cL8sSBOjMT0ydCoVAgLykv4m3P\nDjcfRmFyod+5HzBwTfMOWfeuNVSYUohGc6PsntpSONpyFGNfGiu7eKMUJIes9wy0gfYmPT4dnX2d\nsjroeF9zpEYmdlg70NHXMSzh6oBEQb569WqsWrUKq1atwurVq7F9+3Y88cQTQz22mCBUD3IgcJV1\nwSEPcPIxWEXHrAR+NYhNJMNxSTmOw0u7X4JaqcZDc4P3SJ6byy+q7GvY57E9EzE99h6PvqPt1nb0\n2HtQlFKE4tRiuDhX2K6n4JAHWTDwW2W9X+wxARAqZJ2xbOEyJGmThN7l3rDJyuSMydhesz3oyi+b\n2LPvnX2/TeYmwU1khSj8EajCuvixaDrk931+H57c+qTs7cTOkpgUXQoSNYmSxI8/eh29Ql6/3WWH\nm3OHFJwKhQIT0iagwlThUROgx94jjHN3/e6weigDng65nPCp7TXbAQALCxcKEwU5oaesqNtQO+Ri\nUbGhYkPADgJCyHq/QC7JLYFGpfE5z57Y/AQ6+jrwxyv+6FNE0qA1oNfRC5fb5RE5Y9AaPIRvqN7j\n3iTEJUCpUArvwYQWu+YUJBdIc8gdAw45G2+ghQzmRpXklAguTjhh6yarCa/sfgUzX5+JG9bcIHv7\nUHiHrDMCOeQF+gLo1Dphssz2LRyH3M250WBuGFS4OhD4vmuymvz2IGdkJmSirbctYHs+7+tYsjZZ\niEwR82LpiyhrKsOdM+7EdeddhzGJY6BUKCUJ8rbeNtyw5gZ027rx5k1vBi12qVAoPO6TE9ImCAWG\n5Fw7xEI6kEPucDmwpXoLJqZP9PltJGmToFaqZV3v2MKlh0NOIeuSERxyGYV3GTq1DlMyp+Bw8+GI\ntf9kvxs5IetxyjjB4c8z5KGpp8nj3Ovs60SKLgVKhRIFyQVB55Te+bxSHPLz0j1D1v065F6CHOAX\nQYwWY9imkzctPS1osbQEDFcHfOti+AtZB/j95sCFPacKxtaarajrrgvZLSUchJD1EDWSjBYjkrRJ\nflvbpiekgwMny7Bk8xx2DZIatj6cBd0AiYL8ySefRF5eHvLy8pCbm4ukpCTcfvvtQz22mCBUD3Ig\nSMi6zX8lbW9YP9epWXxvd5VSBYPGEJZD/nXV1zjeehxLpi4JeRH3V9ittbcVZrtZcO3fOvSW8Bz7\ncRalFAXN0ZWCFCePnYw2p81nkpRjyIECCiHcPxRxqjik6FICTqRbe1uRokvBDRNvgM1lE4STP7wX\nE5g4+uDEB8JzpfWlAVcvgwlyJu6DFY0aalYeXol3Dr8jeztxnr8YhUKBgqTgN9pAVHdUI+PPGXij\n7A0A0gUnwE9crU4rmnqahMdYbhJrf/TWwbf8bhsKcc6sHId8W+02KBVKXDL2EmFSIeccCpRDbnfZ\nPQVtiII/gkMeQJCzG71KoUJnXydK60r9vk4IWe+foLH6AYeaDwnXw+012/H2obdxwZgL8ODcB33H\n0i8Ce+w9HpEzSdok4Xx1uV1YdXQV0uLT/Bap9IdCoYBBMyDqrS6r8N4AUJBUgG5bd8jFL8Eh77+Z\ni3PevWEO+eyc2bIdco7j+DaZa+9C3ot5+OXGX+JIyxF8cfqLiBd5ZNdfceSXUqEMeF6pFCrBAQYG\nJsTnpZ+HeHU8vjv7ncfCV6+jF6fbT6O8rRwnW0/iROsJHDcexzHjMew4uwNOt3NQBd0AXzcJ6G/D\nZ+3wmz/OyNJnwcW5At5fvSN9JqZPRIO5wSMN6XT7aSzbtgxZ+iy8dO1LAPhQ0pzEnJCLPHaXHbd8\ncAuqOqrw/y79f0JKT9B97f/tGTQGZCZkyhbkFrvFYxE5kLO5u343euw9PuHqAH8+pceny3LIxYI8\nUFV8OXT1deGjEx+FFILnCiyHORyHHODzyK1Oq6S6OFIQQtZ10kPWxyaPFSJh8pLy4HQ7BQOEFexl\nc6jC5EIYLcaAC0ZCT2ivkHVxbSOGv5ZnAATxDwwI8nH6ccLzYkHOgfNYfB8MbNHSu8K6GClF3YCh\nLezG5jZyi9VKQU7IeqB0pnBqWbB5BDM/5QrymHDI161bh2uvvRZ79+71CFlfsGABnE7pPZdHMtUd\n1UjUJAa9wQcqVtLV579wlzdzcueg+tFq3H3B3cJjgcLkQvHSbn5y4K/VmTczx8xEnDIOexsHBDm7\n4C0avwgLCxdiW8021Fv4FX9xgY7BhmN6T3L9wS5C4hxyJvaevepZfLzkY4/VzlAYNIaA4XJGixFZ\n+iwhtzVY3qx3uD27mbAVxXl589Dn7PPoRywmWG2BaIesO1wO2Fw2NJobZa+qB1rNBXg3sqOvQ7Y7\nsrVmK6xOqxA+JVeQA56Clwny26bfhvT4dKw8sjKsFfBwcsh7Hb3YU78Hs3NmI1mXHJaDGsghB/jz\nRLZDHmCBiomKGyfdCABYf2a939d5O+QAcEnBJXBxLuyp3wO7y45frP8FFFDg9e+/7lEkShiLaHFA\nPH6x8G0wN6DF0oKrx18dcoFTjPg9+lz8JIBdc6QWdmPXDHZMgwryxjJkJmQiPylf8vdrsprw8u6X\nMfXVqbj0rUvx7pF3UZBUgL9c/RehR67cQmGhYMeZTewAfmE5UJg34Jn3yM4ttVKNmyffjApThXD9\nc7ldmP/P+Zi0fBImr5iMKa9OwdRXp2Laa9Mw/bXpWPj2QgAQUlnCRavSQqlQelxTOvs6wYELer9m\ni3GBCrt5L/4+Oo9v7/rczucA8KL/3nX3os/ZhxXXr/D47RckF6ChuyGg+85xHB744gF8W/stfjTl\nR/jdFb+TtK9sjjEhbQIUCoVw/5UqyFmaDsvTDSR4/LU7E5ORkOEhyDmOw6HmQwE7k3g45AFSDKTQ\n5+zDi6UvYvxfx+PWD28NeyGV4XKHH9031NR31wuL+YPJIQcgtA872HQQNZ01WPDmgpCdM4LhHbIe\nTJD3OnphtBg9Fv1yEz0Lu7G5ELufhbomezvkqbrUgL3Iz7SfQX5Svo/LytoLAwOCPFOXKSwYMUHO\njnmkwtZDVVgHBu5NgiAP4pADoSvShwM7Z4dCkLPfTzBB7ubcaLW0CnVkvBEEuYw8cnYPL8nhu/+w\navqhEFf0Hw6CCvIbb7wRX375Jb7//e8LIeurVq3CRx99hE8++WRYBhhNOI5DTWcNilKKgk5UBIfc\n4ZVD3h+KI4VxKeM88umSdcmyHfKTrSexoWIDLh17qUe7kkDo1DrMyJ6BQ82HhJU48QXvnln3AAC+\nqOdzSMUFOgYTjgnIC1kXtwFjIn1a1jT8cPIPZX1moibRryPo5txo721HZkImFoxdAH2cHhsqAwty\n74J0YmGdn5QvLIYECvmR4pBHK2SdHR+n2xmyV6Q3gULWAWBskvSq1mLYogY7FwTBph6cIC9IKsAd\nM+6A0WIMKDaD0dLTInzvUldqjxmPweF24KL8iwAgrEWtzr5OqJVqD8Edr+YFudVpldz2jJ13oRzy\nu2beBZ1aF1qQi0KEWVeJnXU78WLpizjZdhIPzHkA8/Ln+X0PcaE08bmVpE2C1WmF0+0UBKlYQEpB\nLJ79OeTifQ1Ej70HCXEJwvXZoDEI4xLT3tuO2q5alOSWQKEYcGaCfb/fVH2DvBfz8NjGx1DZUYml\n05Zi60+34tRDp/Cri3+FaVnT+DFGqEMBQ9z2jC2SBApXZzBBrlPrPCrO3ldyHwDg7wf+DgD44PgH\nOGo8irl5c3Hf7Ptwf8n9eKDkAfxizi/w4IUP4qELH8Lj8x/Hw/MeHtQ+KBQK6OP0HgLPu6aBP4TW\nZwHyyL0jfb434XuYkT0D7x17D1UdVXht32vYcXYHbp58M3405Uce2+Yn5cPhdgR87xdLX8Rbh95C\nSU4J3vnBO5ILBbF7DbumSfltiWHjYYInkEO+qWoT1Eq10PbJm/SEdHRYO4TF2vVn1mPWG7Pw+enP\n/b5+sCHrLrcLbx96G5OWT8J/bfov4b44GNeywlSBhW8vROHLhdhSvSXs9xkK6rvrMeGvE/Dbzb8F\nEBmHHOA7eyxevRi76nbh9bLXwx6fnBxyVleCVU8HBkLv2UKDdxtPwfkNIDSZ8Ga/f4VC4dGLnNHr\n6EWDucEnXF08jhRdinBcFQqFIMTFDrl4rIOFFXSTFLLOqqyHcMiHotI6O7eG0iEPVmXdZDXBxbkC\nO+QJYTjk/fMcVldhxIasq1Qq/OlPf8KZM2ewdetW5OXlweFwQKkc+opz0cZkNcFsNwfNHweCh6yH\nyh8PRIouBd227oAr7f5gq9s/m/0zydvMzZsLu8suhOOJQ4JumXwLDBoDvqj/Am7O7eGQC2LHTxVr\nKUgJWWcTInEfcn9iTyoGrQF2l90nlLzD2gEX50KmPhMalQZXjb8Kp9tPB3QfvFu2iRddfnj+D4UU\nhEB55Mz9jkWHXOyYynXlAt08AAh9n+W6EiwEmDnDkXLIM/WZwnny3M7nJPWeZ/Q6emG2m4V0Cak3\nLnbzDHdSDfATmFRdqscCIXPIrQ6r5LZnSoWSX6AK4ZBPTJ+IK4uuxDHjMb+TJO8q6wCEljEfn/wY\nv9/+e2Tps3x6K4sR9wsXXxfELj4Tzex3JBUmyDmOExxyQZAnSys2KG5x6D1eMeKCbuxzchJzggvy\n6m/Q5+zDExc/gfrH6rHmljW4fNzlwvcrddFALuKFGzbxCVTQjcEWB8anjvcQkpeOvRST0ifhoxMf\nwWgx4g/f/gEqhQrv3fIe3rjhDby++HW8tvg1vPr9V7H8+uX42/V/wwvXvhCRSY5eo/cQeOxclOKQ\nB6q07n2vUSgU+M2C38DNufFfm/7r/7P33uFxVefW+DrTq0a9N1vu3ZYNNu6AsYNppsWAaUnwLwnh\n+0JuCASCCQFuCvfCDQEufHApFwPGoQYcMOAGuFvGTe6SZTWrtynSzGjm/P442nvOOXPaFFk2YT0P\nD6CZU+aUvff7rvWuFw9seABpljQ8d/lzUdsWOrm6eKmx8+NjH+O+L+5DvjMfHy3/SNMYRsBnyAGo\nStaDoSDWn1xPe1CT30oSo1KBVEdvB3Y37MZFRRfJPguZtkywYOl4TIIuuQAqXoacZVl8fOxjTH5h\nMu786E40e5px30X34dNbOMPVeIzhWJbF87ufx+QXJlOPi0+OyxtWDgV21u+EP+THO5Xv0B7k4lav\nsYAEfy/tfQmVrZVgwGBr7da4S2DIc6OFId9ez5U58f0RaOuzAdY5KiBXcVqnCTfefFOaWgp3wE2f\nSSDyXoxIExq6Ebxy1Sv45KZPBPPor2b+CvdccA/yHFyykTLkSWp9dqD5AKwGq6L8WVyGw+9cw4cW\nR/p4MagBuQZTN2rolkSGnMzVqZZUlKWVUcM/NZC5W8nUO5nQFFU/+eSTAlb8448/xuOPPz6oJ3Yu\nQEsPciDaiAHgHrhAKKBJsi4Fl9mFMBuOaeIhk18sCx1SR767kTN24zPkdpMdN46/EU29Tdh4aqOg\nBVyGNQMp5pTEGXINbc/8/X5FObRWyCVOyGKFLNR+MOIHACLtX8SQk6wDXECe58xDWVoZvqn9BiE2\nWvZ9PjDkQBwBOa81nRjxBBb94X7sb+ZkXlEMeZwBObnX2fZsTmUxZhl21O/Q5KxPQCaMEekjoGf0\nmicusUGk3WRHniMvphryzt7OKNUNnyGP5frw3c3FIPe+KKUIS0cuBSAtW2/vbYfD5BDIyDNtmRiT\nOQYHmg+gt78XT132lKJSiG8wJ5asA9z7QoLmWGXOKeYU9If7uU4NIsl6LAw5vx2VVH9zIKLmIAE5\nwCU2a7trZf0kyGJvZflKytzyoTVpECtIpwKGYWhALteDnGBy7mToGJ2glhzgAtaV5SsRCAVw499v\nxJG2I7ht8m1nZREjZsjJOKGUCFdlyEPRicUbx9+I0tRSfHj0Q3gCHjy9+GnkOnKjtiVGdVL366fr\nfgqzwYyPln8Us0kXeWbJYt5lcSHDmiFI9rAsi10Nu3DPP+9B/lP5WPLmElzx1hWC30oZcgnJ+obq\nDWDBStaPE5DFMJGtk+dXLsjmB+RS6yQp7G7YjZ9s+wmuWnMVjrQdwZ1T7sSJe07gL4v+Qs8/1oC8\nrrsOi1cvxt3/vBsWgwWvXf0aTHqTovlqssCyLN7Y/wYufPlCWS8OAlKa1eBuwP7m/WjoaUC+M19R\noamEFHMK7cO9uGwxfjb9Z+jt7xX4BsUCEkg5zU7oGb2mgJwowoDoIFcckJP7K5e47/Z3w260C0qf\naB15Z6SOXM5hnWBq3lSq5CK4ZdIteOYHz9BrnUyGPBgK4nDrYUzInqDYWSKqhjwk7bJelFIEBszg\nMOSDWEOupQ857UEu4bAOxMeQk/HCaXZiVMYotPe2awroqzurkefIiyl5mgg0BeS7d+/Gs88+C7ud\nmxTuvvtuVFZWDuqJnQvQ0oMciJjh8CcJrQ7rcqC9rWMIzEhmS2qhIAexsVtVZxX0jJ4OjKSu/dV9\nr+JU1ylk2bJorWFZWhmqO6tjYhcJNLU949eQ98sHe1ohVzdLBgCyMF1cthgAZGXrYrk9WchmWDMw\nt2QuAM6or9vfjSp3dMJCk8t6DAy5UmnD2wffxo8/+rHmenB+kBFrQC5uTceH1npdPg63Hqb7jCcg\nz3PkwWqw4kRHJBsqvte/X/B7AMCqTas0P8f0PbPnIt2arjlTK5XgUwvYxOjq6xK0PAMi16I32Ku5\n7Rmg7BZe11MHl9kFp9mpHJD72iXlwaQf+cXDLlY1reK3YOO3GBME5ANBc6zO3Px9EHYnVoZcHJDL\nOdRThjyfF5CnlSHMhmUZRLLYk5OkDhZDzm8dSBKRapL1XEcuNty2AU9d9lTUZ7dPvh0mvQlbTm+B\nntHjobkPJfV85WAz2gQBHnmelZIL5N1XYsj1jF6w6DfoDLjvovsAcBJ2Oad/8kyJx07Cds7In6Gp\nnEwMMUMOcGNHTVcNqjqq8NiWxzDmuTG48OUL8ezuZ6FjdCh2FeN092nU99RHGPKBcVgqkFKrHwci\nDtVkzCO/Uy5AbvI0gQGDLFsWdIwOVoNVNZhe+tZS7O/cj6tHX40DPz2AV65+hV5XOTPKkx0nJcdQ\nlmXx+r7XMeG/J+CL6i9w+cjLcehnh3D7lNtxQcEF2Htmr+wYmAi6+7rR4m3B6a7TWP7ectz24W3Y\n1bALt7x/i+LvJwloAPjo6Edo9jbH5bDOx13T7sKi4YvwzvXv4NLhlwLgvFniAZmPrQYrbEabYj/7\nHfU7kGnLFBBEcpJ1QlypmZV190WrTsn++cZucg7rsSCZAfmx9mMIhAKK9eOAhGRdIjlI/j/PmZd0\nhpxl2bMiWVdkyBV6kANxMuQD44XT5KQlCfx1oRSCoSBqu2vPmlwd0BiQm83cw0AyR6FQCKFQctoo\nnMvQ0oOcwGFyCAZamvkza6shFyOeXuTkQZaTekhhdMZoOE3OSEDeUYWS1BIY9UYAnPy02F6M94+8\nj9NdpwUPZ1l6WZSLtVbEWkNOgz0JObRWyDLkXiFDPixtGEZnjMaG6g2Sk7xYsq7X6fGHBX/A04uf\npou4ucVcYL63fW/U9krJGnLftbqsb6nZgrQ/p+HFPS9Kfv4/3/4PXtn3CpUuqoG/OImVldMiWY8l\nsOCb4pH3IJaAk9Tx8rPI4oB8Us4k3Dj+RlScqZCtgxSDZJBzHbnIsGVoZ8glEnwj0kcoBmx89AZ7\n4Q/5NTHkai7rgDJDXtddR+9ZSWoJxmeNx8ZTG6MW8u297ZI9we+ccidmF83GC0tfUGV35Bhy/t8p\nQx6HZB3g3ifKkA9cGxLcq5VReANewfWUZcjPVCDTlilg8dV8Ahp6GpBuTadlB2IMNkMOQLNkHQAW\nlC6QvAcZtgxaT33LpFuox8hgw24SMuT8hZccqGRdoYZcagxbWb4SL135ElYvWy37TJNnShyQk4Wo\n3H1WQ4mrBGa9WdBVZHjacARCAYz42wis2rwKtd21WD5hOdbdvA7199bjp+U/BcDJoNVqyFmWxefV\nnyPdmk6NwKQg7kVOGXIZ1rvJ04RMWyZdTzhMDkXJepgNo9XXiinpU/Dh8g9p5xkCqTm8pqsGI/82\nEn/+5s+C7zZ7mrHsnWW446M7EGbDePnKl/HJTZ9Q/4O5xXMRZsPYVrdN9nziwV+2/gXpf0lHzn/k\noPSvpVhbuRYXFV2Eu6bdhVNdp3D/F/fLbru/eT/SLGnQM3q8uu9VhNlwwt0I7pt9Hz6/9XO4LC7M\nL50PBkzcATkJwK1GLiCXY8gb3Y2o7a7FrMJZgneFBLnk/RAz5Gpjcrc/2iiZJLj55RskIJdjyLWA\nyuuTIFknJaGke5EciFFllMu6BMlRmlqK+p562Zak8aCrr4uueYfK1I0y5HKS9XhqyAfWtQ6TgypG\n1OrIT3efRpgNn7W5DNAYkE+bNg0PPPAAWlpa8Oqrr+KWW27BBRdcEPdB//jHP2L58uW46aabcPCg\nsH/ptm3bcMMNN2D58uV4/vnnFbdpamrCrbfeihUrVuDee+9FMJicfoEEWnqQE4ilc7ROOFGGPAam\ntMnTBKvBKmBz1KDX6TE9fzqOth1Fo7sRzd5mQY0LwzC4suhK9PX3IRgOCpITpD4nntZn4qBWCvwa\n8mRI1uWYLSpZ50lGl4xYAm/Qi6210X3L+SwewcPzH8atk2+l/0/qyPd17IvaXpNkXeN9/7bpWwDA\nr7/4teQkRuqqvqn9RtP+BkuyTifaHu015Hsa99D9dfZ2gmXZmBhygAsmu/q66MQvbnsGcD3qGTBY\ntWmVJs8Gmvhy5CDdmo6O3g5N7HpNVw0yrBmCwCcWYzeplmeAdA25Voac9P/mw+13o9vfLQgsl45c\nir7+PoEJEnF1l2TIi2fjmx99o4mh4DPkSpJ1s94suG9awDeME9eQWwwWZNuzFYPdQCiAYDioKlnv\n6O1ATVcNyvPKBQtQNfPLBneDomGTy+yCw+SQXaD2h/vjUyjx6uJpQK7CkKvh4XkPY9mYZXhs4WMJ\n7ScW2I129If76SJSaWwlION8i0/eZV1qDDPoDPjJtJ9IJqAI5ALyWMctMR6/+HEc+NkBAWs0v4QL\nri4edjFevfpVNP+6GW9f9zYuH3k5jHojrd3d2bCTznEFKQVgwEQxm8faj6G2uxaLhi9SlNSKJeta\nGHK+Yk9c8y8G+cxhkF7DkGeWfzyS5OUzmYFQALP+ZxY+OvYRFpQuwMGfHcSPp/1Y8G6SOTqZ/ZY/\nOvoR7v/yfuTYc3DDuBtww7gb8NRlT2HLHVvwtx/8DeOzxuP5Pc9Lmsl19HagtrsWFxZeiNnFsyn7\nGa+hmxTSremYnDsZ2+u2q7aekgLfX8FqtMoG5ESa1C7xqQAAIABJREFUz5erA1xAlGnLpPOdOCA3\nG8zIc+RJJqhZllVmyPmS9QH2MxF202q0Is2SlhSGnATkagw5wzAC1Y8cQw5wSbr+cH/STOcAoVli\nZ19nTB5WYrx3+D0UP10sOD+SYFDyMCCERzLbnhHDbafZSdckanXk1NAt9RxjyO+44w4sWLAAs2bN\nQlNTE370ox9h+fLlcR1w9+7dOH36NNasWYPHH38cTzzxhODzJ554As8++yzefvttbN26FVVVVbLb\n/PWvf8Wtt96K1atXo7i4GO+9F387BymQHuRaAnIxQ67U2koLyAAVE0PuaUauIzfmeqMZ+TPAgsXa\nyrUAonvuLS1YSk18xHJbID6n9Vj7kCdDsi7HkEsFaUrtz7Sc+/C04chz5OHbjm+jFsxKpm6kb73W\nUoUzbk6d4Al48NNPfhp1LPL8EBMbNSRi6qYkWbcZbci0ZcbGkJ+pgEFnwMzCmQiGgzEzwABQ6ioF\nEDEdavG2wGV2CSa4cVnjcNPEm7C/eT8+OPJB1D78/X6MfnY0fvnZLwEITUcyrBkIsSFVRQPLsjjd\nfTpqLImlF7lUyzNAmiHX8p7w+3/zIVWvfcUorhZ13fGIbJ1IxuI1HBKfhzvgFiTqxJL1wpTCmMc2\nSYaclwQsSilCfU+9bFAr1Z6Rn0Ag2HuGU8Lw68cB5YSLJ+BBj79HkQFjGAbFrmLJpEFXXxeynszC\n41/F7uciyZAnGJCPyRyD93/4PmVhzwbELUfJPVFi+1UZ8pA/7sRvniMPDJio+5VoQJ5iTqFSS4Kf\nTv8p/L/zY8NtG3DHlDuikhDT86eDASMIyLNsWZzUWMSQa5GrAzzJem87gqEgHQulWO/eYC+6/d3C\ngFxEXIhBEsJyXTT0On2U7J2Mvfy61FZvK051ncLissXYcNsGyTXcRUUXQcfo8FVtcgLyg80HseKD\nFbAZbfjnLf/E2hvWYu0Na3HvrHth0BlgNpjx2jWvQc/o8aOPfhQlleezqKRMCIi/5ZkcFpYuhD/k\nV61nlwI/IJd6jgh21O8AIDR0IxiTOQanOk8hEArQtRB/TiPjnThRTEgh8XNOSKLqLiFDXphSmHDt\nb0FKQVLanpFSBLWAHIBAeaDGkAPJbX1G3meAU6vEW87Bsiwe3fIo6nrqBOrMWCTrcjXkZL0Rj6mb\n0+SkCS61LkK0B/m5wpDv2bMHc+fOxZIlS/Bf//VfuOOOO/Db3/4WLS0tuOWWW+I64Pbt23HppVwd\nS1lZGXp6euD1cgN0XV0dUlNTkZOTA4ZhMH/+fGzfvl1yG4/Hg127dmHhwoUAgIULF2LbtuRKj2q6\napBqSdXUuiwqIE+QISfbaQ3Iw2wYzd5m2YdYCaSOfM2hNQCiH8BsazatqxYE5An0ItcSWPFryJMh\nWZdaSAORhZmYfbAYLJJ15FoM6RiGwbySeWj3t0cFW2osjsvs0syQN3q47OPE7In49OSnePvQ24LP\nO3vPIkOuIFkHuOCnrqdOE6NHDN0mZE+gC7quvq6YF7Zk0iKyddJvXoxV81ZBx+jwyOZHorLC2+u3\n43j7caw5tEZQY0UYckBd3tXkaUJff19U+UssSS0tDLk36IXNaNPUTkmuHlPK0XxW0SykWdKw7sQ6\nev+kWp7FA37QLMWQt/na0OxtjlmuLt63uO0ZwP3Gvv4+QW9lPsiYrsaQk/IKsdyXMKZSLIZa/Tg9\nx5QidPV1RSVOqjqq0NXXhed2PxeTbJEoTeKRrJ9rEPft1SJZNxvMcJqcijXk8SZ+jXoj8px5UWMn\nlfoa4pOsKx1PDk6zE+Ozx2NP4x40eZpg1BmRYk6B1WiNYshJQL5o+CLF4/El62c8Z8CCGwukGHIp\nTxs1hpzMzXaD/NwqXmuRe85f5JP/LnAWyI6FKeYUTM2dil0NuxRrobUgzIZx/d+vhyfgwWtXv4Yp\nuVMkvzc9fzp+O+e3ON19Gvd9cZ/gM2LoNiV3Ck2AAsllyAEuIAfiqyMnATipIZdlyOu3Q8foMKNg\nRtRnozNGI8SG6PgFCAPyklSO+SWGgARyRIbD5ECWLYsGUL3BXtT11CUkVyfId+aj298dU6s+KRxo\nPoCilKIo/xcp2I12gakbA0bgZ0EwGK3PxNc8Xtn6zoadONjCKZml3stEJOtGPTeOxdP2jCg0AHkP\nEQKyJjtnasiffvppvPbaa9i5cyfuu+8+rFq1Crfeeit27NiBv//973EdsK2tDenpEUYlLS0NbW1t\nkp+lp6ejtbVV8u9tbW3o6+uD0chNSBkZGWhtVb7AsYDfg1wL7CahdE5qoIkFsZq6dfZ2oj/cH5Oh\nGwEJyHc27AQQzZADwINzH8T4rPHUFASI1OfEE5BrMXUT9CFPosu6Fsm61WjF/JL5ONB8IGoxLSVZ\nlwKpIxdL4sjEIhuQW1wxM+Rrb1gLm9GGB758gH4WZsP0OazrqdPUcoyfrGhwN8QkWVKSrANc8OML\n+jQN8sTQrTyvnPowJBqQh9kw2nxtkgH56MzRuHXSrahsrcTfK4VjG1msNnubcaLjBJ20cuyRgFxt\nciCTJmHsCcg7dLT9qOpvkRtTxAy51msjZ3IoxZAbdAYsHrFYkPGWankWD+Qk6+TvR9uORp2PVijV\nkPP3KSdb1xyQSxi68X+bFCtImBc1BkzO2I28R83eZmyo3qC4Dz7IoppcB7LgTzSxMhSgva0Hrq8W\nyTrAjfWx1pBrRWFKYZTqIlGGPF5cWHAhfEEfvj3zLTJtmWAYBlaDVcBs+vv92FSzCWMzx6omvci7\n3uZrEzCHUs8332GdwG60wx/yyyaQyP2TY8iBaDNKsg1/ka8k9eVjXsk8BEIB6qETT/kHwL2bx9uP\nY9mYZbhh/A2K3314/sOYmD0RL1a8iC+qvqB/Jyzq5JzJGJs5ls5diZq6iTGvZB50jC6ugFwgWTdw\nknXxNQuEAtjTuAeTciZJlk+SvuRH245KB+Qyxm5KqtPhacNxuus0QuGQasuzWEDGxlh8ku76x124\n9YNI+WKbrw2N7kZN7DgwYFQ58D4FQgGYDWZJZdhgtD4jSTSSSI43IH+xIuJpxE92Ucm6gst6s7cZ\nJr1JcQzPsGbExJB7Ah7oGT0sBgvSLGnQMTrZJDwBUVyczYA8Ou3Cg06nQ1kZF5xdcskl+OMf/4j7\n778fixYpZ1FjgdIAKPeZ1N9jGUgrKipUv9Ph74Av6EMqUjV9v9/LTTDf7PoGLpMLlVWcC31rfSsq\n+tW3F6OlhcsSVVZXokKvvn21m3t4dD6dpvPlg2VZZJgz0O7nHnB/kx8VPuE+rK1WvH7h6+io7kAH\nuJc0zIZh0plwoO6A6jF3tu5EmbMMmZaB7FRXK/SMHgf3HZTdpq2Pe2EaWxsR6OESHdUnqmFqMclu\no4TWRm4BdvjkYcE9qWriEgq1R2txRhcZeMebx2M91uPFDS/iqqKr6N9P1nKMd111HSp65H93ppf7\nrR9++yGmsJGMeUMbt5A5UXkCeia6Xs8QMqCzt1PTfTzVegouowve016MTRmLivYK7Ny9EwadAe6g\nmzIYAPDGljewpGCJ4v6O13JGF1nmLLT6W7Fh+wakm7VJkk+c4mpy6k/XoyIQfe4WPxeor9+xHqNd\n3KQs9xv/UfcP7jyCWWjq5RZ22/dtx8lWbdeeoLeLmwx2Ht+JCewEhNgQTEGT5HGXpS/DamY1Hlj/\nAIb1DaP35qODH9HvvPHVG6hqroIOOpw+ehp9ndwCZeeBnWDOyMupNzZwNYN6tz7q2AW2Amw7vQ27\n9+xWZLb31nOy6J6WHrqPiooKNNVz1+foyaPo8nTBAIOmZ8fXyQUJu/bvgi8twnTsOsYtTnubewX7\nGWfg2l29uPlF3DniTuw+w7VK9LX5Yh5z+Gjwce9DzZkaGHVcgrXmRA1a+7j3dUcVJ380+LT9Lj7a\nGrkx5NCJQ5Qhr62qRUUHtx/Gzd2zTXs3gc2NnkMOdx0GAHg6PfTYZ9q4MeJYzTFUmLi/bavZBpfR\nhbaTbWhnIgsF0vawqb0p6ty31nNlJP1d/Yq/S+/lnsONFRvhy4rcJ77p4TObn0Fmd6bClYigK8At\ngv0ePyoqKpDOpuOBiQ9gum664nkkco8HC94ubuG6e/9uuF1u1JypAQDUHK9BX508C2Nn7TjtPY09\ne/ZELXZ9AR/SDGlx/157yI5AKICuQBfdx4FOTo7c095zVq9jbj8XDIfYEByMAxUVFWBCDNx+Nz2P\nPW174Av6MMU5RfXc3EEuEK46U4Wv9kUSzc2dzdHPdxP3fAe7gvSz/l5unbR111Y4jNHBWkUb9z2b\n3iZ7Lvp+Pbp7u+nnR6qOAABaOlro3452c0m87vZuxd9U0M8Fu89ufhb/GfpPfNb4GZ4sfxJzcubI\nbiOFrS3cb80OZ2u6v/ePvh+3t96OW9+9Fe/MfwcOowPbqrfBrDPDfdqNvbV7cWnWpVjtXg1/g59e\nF61QO4cxKWOwo24HtuzYInkf5NDUNjDXVB6l93Lb7m2w6CNJ+MquSvhDfpSZyyTPw9DNhR0bD2zE\n6XYumDx15BSaDAPs7AAXsfnbzTC3RBIqhzq5RHBfd1/UflPZVATDQXy27TN676291pjeNanv6jzc\nfLxxz0Z0Z6iTJMFwEK/vfx394X7clX8X7AY7drdx82Q2q+3ZQBDw+r2oqKhAl7sLekSvGQDA6+HG\nvoqTFaiwJ2dM2XeSU2kUmApQj3rsOLAD0JCL4J+fO+jG2wciSs0jJ4+gws997unjEtxun1v2WtR1\n1CHNmIa9e6MNkQmsrBWN3kbN97elqwU2g43uM8WYgrqOOsXtDzUcgkVvQf3RejQwyelFrwbFgFw8\nUeXl5SUcjGdnZ1NGHOACz6ysLPoZn+Vubm5GdnY2jEZj1DbZ2dmw2WwIBAIwmUz0u1pQXl6u+p2d\n9RxbPLV0qqbvF9YWAs3AiHEjUOwqxkc9HwFHgPLx5SgvVd9ejP76fmAX4MhwaDp+9ylusJhQOkHT\n98WYfXI2/nGMC4KumH2FILNZUVEhu8/hO4fjjOeM4jHruuvwi09+gZXlK/HCFS9wf9zNsU5K23X2\ndgJfAjanDS6HCzgFTJ04NaoPrlY0pzQDe4G0nDTBcft29SHVkoqZM4T1TvYSO546/BSO9h/Fo+WP\n0r+72l3ACWDahGkoL5A//6nsVKzcvhKVnkrB8cJ7wrAb7bhgurQxYt6hPBztPopJUyYpShIBoPPL\nThSmFqK8vBzDqoehor0Cw8YNQ7Y9mzM5Wc/VbB1tO4oGfYPqs2Fv4hinSfmTsOHUBmQMy1B03eVj\nY99GoBIYN2ocykdFH6e8rxxra9bCWeBE+ejyqOfqVOcpvHv4XTAMg21urvxk2cxl2HRqE1AF5Jbk\nIhWpwAlg6oSpiteeoNhbDHwD9Jn7kD8iH/gcGFUwSvI6lKMcd3Tdgf/59n9w3HQcKyatQLuvHUc+\nOYJ8Zz4a3Y2oY+rghReZ9kxcMP0CVLAVwDEgozAD5RPkz2e9j+tpP2/SPJSPFH5vYe1CrD6wGs5S\nJ8ZkjpHdx47QDmAfMHn0ZJSPj1y/GmsNsA/ILshGsCqITFumpjFghGcEUA0UDi9E+fDI90P1XBB5\n8fSLBXWrJWNL8Mi+R7DPuw/l5eV0MpsyegrKJ8U+5tD9+kqAjYDJaeIYxFpgxpQZnHRtB1Dn55jh\nC0ZfEPPY1pLSAuwFUnNScaqKM/0pn1iOiTkTAQAnzSfxzJFnYMo0Se7bXeMGvgHKCsvo5+GGMLAj\nMjZ39nai4ZMGLBq+CNOnR7e0sqy3gDEzUfvf0Mex2rPGz0L5aPnfdUB3AC8efxGWbAvKp0W+t5vd\nTf97S8sWjJk4RpO3Qm13LfA5UJBdQM9JbiwiUJoDhhLDuoYBp4CSESUoLy6H6QSXrL2o/CJFeWjp\n8VIc7DqIsvFlUd8LfhpEmjMt7t87sWUiNjVtQnNfMy69iFOUdZ/qBrYCwwqHndXraCw04omDnOdO\ncWYxysvLkbY7DV1dXfQ83tvAee+smLUiamwSg2VZ6D/Xo9/UD3MWj302Rq+rdu/hns8LxlyA8onc\nZwU1BUAzMHL8SEkpdv3RemAHJ1mXu05Z+7NQ7anGtGnTwDAM/tHzD+AIYLab6Tb+Oj/wNVBSUKJ4\nvUt8Jfj1nl/j3dPv0r994/0G/7f8/ypeBzG2bN8CALh08qUoH6d+f8tRjhO6E3h0y6NY3bIazy99\nHjWf1mBy7mT6Lr4w9QX8R+A/Yi571PKu3uK7BQ9tfAhb/FuwauYqzfu2HOUC75nlM5Fbmwu0AmMn\njhX4iGzdySUnrpp6FconR5+Hs92JX+3+FTwWD1gzC4POgNkXzKbxRqOjEU9WPgl9ul7wOzqqOoCt\nwKji6Pm7vKsc6xvXw1HooLrfBZMWoHystndN7pqVh8vxyslX4Mxz0mdYCXvP7EUwzJlLh7JDKB9W\njq93cL3uF09erLhGIMg6lIXKrkpMnTYVuh062Pptkuc2NjgW2Ax4jJ6kjSm6Bu7izSybiZ1tO5FZ\nmKl6zuJr99yu5+AP+zEldwr2Ne1DTkEO/Tz0Obe2COlCkufMsiy6PuvCuKxxir+p6EgRDncfxthJ\nYzWpjvq/6YfL6qL7zNuRh1Zfq+wxWJbFmc/PYETGCMk5PREoJQE0mboRxGqoI4XZs2dj/XpucVpZ\nWYmcnBzYbNwFLSgogNfrRWNjI/r7+7F582bMmTMnahsSjM+aNYv+ff369Zg7d66mc2BZFle+faWi\nGQ6VmGowdANAs4xESkXkNfFK1skiQassg9+KKR7MyOdqfXLsOTG5tJellaGzr1NR2lLbXQsWrED2\n4w14VV8kIjdLtmRdqu2ZlHvz6IzRKHGV4IuqLwQSO62SdR2jw+T0yTjVdUpQU9jj71GcZMlnci2p\nCHqDvejs66RtXMT9GYkJ2MWlF8NqsGqqIyfHHJvJtdeJxYSNL2eTApHe8qXzLMvi69Nf49p3rsWI\nv43Ab778De774j58Wf0lrAYrJuVMou9CPJL1TFsmbEYbarpqJM37xPjdvN/BqDPi0S2Poj/cjw2n\nNoAFi5+W/xRpljR8Xfs1mr3N9D3TajBCHGClSmCIE61a+x1yP9Vc1rVeG7IfsRyPyLfFPb8zbZmY\nVTQL2+u3o93XHpGsJyh15kvnpdqeEelrrD3IgYh02e13y9aQA/KSder6rCBZlzN0I5Br9URKYVQl\n6zLnSPwhyvPK4Q16aUJVDVJGdecrokzdSA25Sj08NXYT1RGG2TACoUBC5qHkfjX3RgyShkqyPj5r\nPL3PpCRLXENOaj3FjthSYBgGGbYMtPnaBHOaVA25nGQdkG+TpmbqBnDvU4gN0TWBUg252n3MtGVi\ncdlilLhK8OrVr2J42nB8XvW5ZLtTJRxu5ZQ0ZN7UggfnPojJOZPx8rcv4792/BcCoYCgLZZep4/b\ng0gN91xwD7Lt2Xhy25Oq5lZ8kFIH4rIORPe0314v7bBOMCx1GAw6A5Wsu8wuQWxBTCHFJXZkvJW6\nJkRWXN1ZTR3Wk1FDTsZmra3P+KolUgah1WGdgIwRvqBPsXzGZrQh256dVFM38s6S5zhWyXqYDePF\nihdh0Bnws+k/A4Co8hj+v8XwBDzo7e9V9cKirc80xkeegEfgK5Jpy0S7rz3KOJCgvbcd7oBbsnx3\nMKEYkH/77bdYsGAB/Yf8//z587FgwYK4Djh16lSMHz8ey5cvx7//+79j1apV+OCDD/Dll18CAB55\n5BH86le/wooVK3DFFVegpKREchsAuOeee/DBBx9gxYoV6OnpwbJlyzSdw7H2Y/jk+Cd4dd+rst8h\nPYO19CAHIsY4pAajy8/JAuN1WSeTWJO3SeWbEBw3HlM3IFJHHqujIK0jVzClIufGr4v2BX2qAa1U\n27NEFkpSbc9IXTG/fpyAYRgsGbEEnX2d2N0QYaNi6YU9NX0qAODr01/Tv/X4exTrY8gzo1ZHTgZP\ncQ0oqY0hC/ZsezZmFs7EoZZD9G9yIAklokKIxdhNLWlCJtq6njoEQgGsq1+H6S9Nx7zX5uGDox9g\nau5UvHr1q/j4po+xetlqbLp9EywGi6DjQKwLW4ZhUJpaKgjI5dppAFwC7sdTf4yTHSfxxv43aI3f\n4hGLMbt4Nqo7q9Hj76GGI2RiUJu4SMcGUvfFB1m4qLneJruG/KKiiwAAX1Z/Kfh7XU8dMqwZkvtZ\nOnIpwmwY66vWR0zdEqwhNxvMMOqMnMs6L1gUvyPx1JCTwCzRGnL+NmIzPLn6cQK70S4ZsJBFnlqN\nqFwNOUnQ/OKCXwAAVh9crbgfgqEKDgcDUjXkVoNV0gSJDzLei+vISSCWaA05ALT0RQKdobrmpK0p\nEElCWA1WBMNBmmTu7usGA0Zz8EcWs+T5TTGnSCaciL+JZEAu47RO5h+1gByIvJvUZZ23yNcakAPA\nZys+Q80va3DHlDuwdORS9Ph7NJugEhxpOwI9o9fU5pHApDfh9Wteh0FnwP1fcr3J5czgkg2n2YmH\n5z0MT8CDJ756Qn2DAfT198GoM0Kv09N7JA7Id9TvQIY1QzYgNuqNGJE+AsfajqGzrzNqPpOrjVbq\nTsMPyImJbjKCKbK20tpajMwFQMSTaX/zfpj1Zs3PBt+oUq3jQ4mrhPbLTgaavc0w682UiIw1IP/T\nN3/CwZaDuH7c9XQfJPkXZsNUPSBn6qZm6EaQbuGIkLcPvS0bVPPh9rsFSdosexZYsHQOFWMoDN0A\nFcn6Z59FO0wnA7/61a8E/z969Gj639OnT8eaNWtUtwGArKwsvPLKKzEfnwy21Z3VUTeKIFaGnCyq\niNEJNaCIM8PpNDlhM9qiXA/lIJWNjgUXFlyILFsW5hXPi2k7vtO6lKMmEGHv+Y7x3qBXMTACuMWE\nUWeEv9+fFJd1KYa8s7cTITYky5ouGbEEL1a8iM9OfoZZRbPouQPaGKZp6Zzc++var3HTxJsAcBOL\n0otOA3IVp3XCbOY5BhhykjXsFTLkadY0zCmeg001m7C9fjsuH3m57D4pQ57FZUhjCsjVXNYHmKP3\njryH1/e/jiZPE3SMDteNvQ6/nPlLzC6aLanCIRN2Z19nXAvb0tRSHG49TCdqtefuwbkP4pV9r+AP\nX/0BoXAIaZY0lOeVY27xXHxy/BMAkcSXVlO3U52nkGPPkTzviTkTYTfaKbMgB5JMiQrIB5iKzt5O\nsGA1t4SbmjcV2fZsfHbyM4TZMHSMDizLoq67TnbxsHTkUjy08SGsO7EOJj0nD06GGZjT7ESPv4fW\nkFsMluiAPBGX9UAPHUP49yDPmQcdo5NVgmgxddPCkEuN4w09DdAzetXe6nIMOVkszSqchWl507D+\n5HpO7SORXOTjuxSQk9/Ab3umxS1ejiGPJZCTg1RATl3Wjcl1WdeCmYUzseX0lkhAzlPUOM1OdPu7\nkWJO0dSZAeAC8iOtR1DbXQsdo0NZWhmOtB2J+h4hE8Qu64A6Qy7XhxwQzuOZtkxJhlypXZQSrhh1\nBf62629Yd3wdLh52saZtWJbF4dbDGJE+go6JWjE5dzIenvcwHtn8CP3/s4WV5Svx9I6n8d97/hu/\nnPlLTeQTvwMBeff4aosmTxNqumqwdORSRUXt6IzRONp2FAyYqJK4VEsqUswp8qZuEmtqcu6nuk7h\nZMdJ5DvzNc+DSognIDfpTUi1pGJXwy70h/tR2VKJCdkTVJOEBGKGXEllW5Jagt2Nu9HsaaZKyUTQ\n7OE6NWklGvj4vOpz/G7j71CYUohnljxDxwTyXvITZsFwkK45BMf3KvcgJ7h54s14bf9ruP/L+/Hm\nwTfx6tWvypZWBkNB+EN+wRyeaR3wsvK2Utd1PmgP8rMckCuOwAUFBYr/nK/gZz8rWyslv0MYcs0B\nuUjaouakrQaGYZDryNUckFOGXCWzJAeXxYW6e+vwxCXas6WAtrZNlCH3CxlyLQtCs8HMMeRJ6EMu\n1eaJLMjkBoCLh10Mg84gaH8WSy/sMa4xsBlt1Gnd3+9HIBRQZsgt2hhyMkmQgJz2iCWS9d6IxHlO\nMWdSo5b5d/vdsBgs9Lmvd2sPyNUWs/nOfBh0BpzsOAlf0Idbht+Cqv9ThXdvfBdziufITuCJMORA\nxLV1d+OAuYrKYF/kKsLKaStR01WDup46XDL8Euh1eswriSSryHumpe1ZKBxCbXet7ILHoDPggoIL\nUNlaqdjmkKhuxDWvhCFv6+WUEVqvjY7RYcmIJWj2NtOWO119XfAGvbJs9KScSShMKcSnJz6l2exE\nGXKAGyeJZN1mtIFhGEH7NpvRFiXV17pfQMiQ86+PQWdAvjNfXrIukXyzG+1gwNCAvOJMBdIsabJz\nhd0kzZA3uhuR58yDXhdt7MiHzWhDujU9WrI+kHBLt6ZjxcQVCLEh2rpSCbEkFM910AAvGJGsa+mn\nLseQxxvI8UECcmJGCQxtEmTJCM7Ik0hm+YoagJtnYiEOMqwZYMHiUMsh5DpykWpJRV9/XxRT1eRp\nosEJQTIYcnF3CPLveCTrYswvmQ+70Y5PTnyieZtmbzO6+rpoEjtW/HbOb1GeVw6b0aZZ1pwMmPQm\nPLbwMQTDQazarK2OvDfYSxM6UpJ1ovJSK38gXiksWMmAs9hVHCVZV2LIC1MKYdAZcKSNSxQlQ64O\ncIl3HaPTJFkPhAI40HwAE7MnYlbhLDS4G7C5ZjP8IX9M95WfZAyEAopjEenakgynddLSNdeRG1nX\n9GkLyE93ncbN790Mo96I9258D1n2rKhxRsyKS8nWCXmnFsfMKpqF4784jjun3ImDzQcFrvZikLmX\nPy+Q8V/OaZ32ID+XJOvfVWyt20r/m9R3iFHTVYNMW6bmempxJq27rxsOk0NzVkwKuY5cNHuaNUky\naCumOCXrABf8as2SE2hpfUbOjQQbgVAA/eF+TQGtxWCBP8RjyJNcQ65WV5xiTsHsotnY3bCbvrwk\nu6+lp6xBZ8CswlmobK1Eu69dU6JGM0M+IAk299RIAAAgAElEQVQUS9alGPKZhTOhY3SqAXmPvwdO\nk5PuM5mSdYPOgNeveR3PXf4c6u+tx73j7tWU8CKBGD8gj6WfLzkGqelSC8gB4Ldzf0sXc5cNvwwA\n12OaHJdK1q3qmeRGdyOC4aDibyULGGImKQXy/ogXJGRhRBIxsSz6fzDiBwCAT098CkC65RkfDMNg\n6cil6OzrxOaazdAz+rjLcvhwmpycZD3opYt2hmHoJFqUUhSXhwnZnvQhN+lNUWNyUUoRGnoaJMdZ\nKYacYRjaeqm7rxsnO06iPL9c9vwcJkdUq6cwG0aju1Fzj+GilCLOi4PXTYSvmLhp4k3QMTpNsvXv\nEkMurklWKwciIGPAYDDkZN89wUhbvKG85gtKF6Dp35pw1WiuUwifIQdAGXKtIInfHn8PCpwFUUkR\ngiZPE3IduYL3Qs7HhUBrDTl/H1SyHopPss6H2WDGorJFON5+HCfaT2ja5kgrxwSOy4zPbNaoN2Lj\n7Rux7//bFzeBEy+WT1iOKblT8OaBN7G/ab/q96UYcn5AvqOe64hB1IRyIK3PAGmfpRJXCXr8PYIE\ntRJDbtAZUOIqwbdnvgULNiktz8h+c+w5mhjyypZKBEIBlOeV0xLQl/e+DEB7/TgQLVlXUl0QeX8y\nepF39XUhEAoI2rlqYcj9IT+uW3sd2nvb8cySZ+hvF48z4lZnUrJ1LWWFBHnOPLxy9Su4YtQVONx6\nWJYUlPIVUetFTuKZc4oh/67iZMdJyioebI5uuxVmwzH1IAd4kvWBTBoxq0gEeY48hNiQqhwW4DJL\ndqM9JkO2ZKA0tRQ6RkflwFIgDHmPvwcsy2rqQU5g1ptpDTkDJqEEh81oAwNG0MOUMCRKMs8lI5aA\nBUvrib1BL2XxtID0I/+m9puIMYnCs0EmZTWGnErWnULJuriGPM2ShhRzCiblTMKuhl2yhhoAN3il\nmFNg0puQY8+JLyBXKCu4eeLN+PmMn2uSlRKIGXKjzqjqPs8HCYTJu6llsM935uO+i+6Dw+SgEn+T\n3oSZhZwTP0l8kaSb0jtKJkul8YQsYORk643uRtR218JhckT9dpIkIOegtJgV47Kyy6BjdPj0JBeQ\n057fCvLwpSOXAuAWDOnW9KSYfZIAV2z2SN6FeOTqALfYtRqslCGXGnOKXcUIsSHJXrNSpm7kvHr8\nPapydUDayKrN14ZgOKhq6EZQ5CqCL+gT1Lx19HbQ5yHXkYtFwxdhV8MuHGs7priv71RAboosXsNs\nmDPviUGyLja0SoZ5qNVgBQNGYGZE/nuornmOI4e+p3zmimVZzmQ0hrUKX+JZmFJI3w3+882yLA3I\n+VCVrA/MzXaDfLJeHJAnYuomBTK+rTuxTtP3qaFbnAw5wI0nsdSfJws6Roc/XfInsGDx2w2/Vf2+\npGSd95xvr98OHaOjJsFyGJ2pHJBLGbspMeQAJ1snbV6TeS0LUgrQ0NOg2lqZ7yVyYcGFAID3j7wP\nILaAnFxXT8BD+5DLgaxtkmHsxlfZkhIWfkAu9/ufPPQkKs5U4M4pd2Jl+Ur6dzFDLl53SvUij8cL\n68pRVwIALScUg4wp/PZ+tGTJKx2QV3dWgwGjWSGdLPxLBuQA8KOpPwIDBgdaohnyJk8TAqFATDcj\n05YJo84YqSH3xyYDkwI1dtMgW2/2NifEjscLk96EopQiRYacyFDIgolKvjVIJi0GC/z9fvj7/bAY\nLAkt/nWMDnaTXVKyrlTHSSR/RLbuC/piknsSqfPXtV/TIFuLZJ0E73IQS9blXNaJxHlO0Rz4Q36B\n8YgY/BrMwpRC1PfUq05EBMlgl6QgriGPdVHLf491jE7QokUJjy54FO2/aReYbl06nGtjRJQhDMMg\nw5qhmEnWUv5CAn2+03qTpwnP7noW816dh8KnCnGy46RkxlbMkMdSO5duTceFBRdie/12nOo8hV9/\n/mvoGB0uK7tMdpuLh11MA5ZkyNUBjskOsSF09HZIB+RxGLrx90ECcqn3Vs40DZA2dePvk7xLSq0B\npVhBrQ7rSufY2dcpeJZvncTJ9lYfUGbJv1MBOU8CTYK8mCTrg8CQMwwDu8kOXyjCHMaj7Bks8Gt/\nPQEPwmw4Zsk6QYGzgN4D/vNN2LaogFxFst4T4Oa8eBhyqYA8Hs8ZkoDVGpCTWtl427EONS4ruwwL\nSxfi05OfYnPNZsXv9vX30WdYzJAHQ0HsadyDCdkTVJNiWhhyQBho0oBc5lkdnhqZG5MlWQe45Lw/\n5Jc1ACMgDuvleeWYnj8dDBhqYhYTQz4w1xB1gJqpG5AchpzfqUnH6JBmSaPrmpMdJ+H6kwsvVbwk\n2OblvS/jw7oPMTV3Kp67/DnB+pwy5DKSdSWGPJbS26WjuATax8c/lvycStYlGHIlyXphSmFCnlXx\n4F82IL+s7DKMzBiJg80HowIOpRZFctAxOuQ589DobgTLslxdVoIMOZnMiDRZDmE2zJkxxFk/nijK\n0svQ6G4UmHvwwU8okBpVQFtATmrI+/r7kvJyOE1OwcKBZMiUWNPJOZOR68il5lfegDemoOfCwgth\n1Bnx1emvFFt3EMRs6uYU1ZCLJesDkm+1OnKWZQXtIQpTCtHX36dJoQEkp/5SCka9EXajnT47iQTk\nmbZM1ZpdAoZhouRiv77o19h0+ybqUA5wQa1SQK6FIc+0ZWJUxijsbNiJF/a8gIWvL0T+f+bjnk/v\nwTe132BeyTw8d/lz2HjbxqhtaQ25L7YacoIfjPgBwmwYC19fiLqeOjwy/xHFANNusmPhsIUAkmPo\nBkQmS29Q+G6RgDyelmf8fRDJutS1UWp9JiVZByISe8qKaGHIeUEISdzGIlkXn2Nnb6egrv6aMdfA\nbrRj9cHViq67Wts2ng/gM65kbNUi+5VjSNSMKbXCYXLA1x8dkJ8LSRA+c6XGOkpBliHnPd/UZNYu\nz5CHwiHc9N5NePXbSLebuBjygW34DFwiXVnynfmYljcNW2q2CNR0ciAMOT/IPJ/AMAz+fOmfAQD3\nf3m/YgK+t7+XXlPyHJFne3/zfvT292pqn5dhy6DPkdSzJ+W0rkZm8JPVSQ3IHdqM3SrOVMCoM2JC\n9gS4LC5aJ5/vzJc0DpMDGSPI+k1pLJJzpI8HYnaav67ZUrMF7oAb//b5v9F4ZE/jHvzin79AijEF\n7934XpRhJXlOqKmbBsm6VlM3PvKd+SjPK8eW01skVaVUsi5RQy4lWff3+1HfU3/W5erAv2hAbtQZ\nMSN/BiZmT0RnX2fUi0bYXq0tzwgKnAU44zkDd8CNEBuKuwc5AWE+1Rjyjt4OhNhQ3A7riYLU6xAj\nBDHISwZwQWYsixNSQ67W/kErHCaHYJKlNeQKknWGYXDFyCvQ4m3B6/tejzkotBltmJ4/HXvP7KXP\nWjJM3c64z8BldtFzcVlc0DG6aMn6AEM+u3g2AKGHAh/eoBcsWBockSBAq2xdi2Q9XqRaUqlkPdZA\nIssWMRiJZaCXgklvwoLSBYK/kYlLLggiMnA1xc2swlno8ffgZ+t+hs01m3FR0UV4ZskzqP9VPTbf\nsRk/n/FzSUaaTIS0/jLWgHwkV0d+uvs05hTPwYNzH1Tdhsg6taoN1MCfLPnnL34W49r3gIN7X6hP\n8tlRYshJkCElWQ+EAthWtw2pllTFyVuKIdfa8oyeo0t4jsFQEO6AW2DwZzfZcd2461DTVaPY0/5c\nCg4TBT/ZIbXwkoPVaIXdaB8Uhhzg7rlAsh4cWsk6H/zaTlqXG2dAXpAizZDLdX3h36+qziqsObRG\n4HvgDrihY3Qw6+TnEHH7UpKICYaD1Aci0fu4pGwJguGgKmMMcAx5aWrpeZ3gmlEwA9ePux67Gnbh\ng6MfSH4nzIYRCAVka8hJ/ThRe6mBJDBikaxbDBbZmmr+ej2ZAbm4g5IUgqEgZ+iWM5Guf0gtdaxG\nfTQgH1i/Ka17U8wpSLOkJSUgpz5UdmFAzrIsNb92B9y474v70OZrw3Vrr0MgFMBjUx+TjJVo4i8o\nI1mXMXVjwMSUwAA42Xp/uB+fV30e9RmVrPNd1hUY8pquGrBgz7qhG/AvGpBPz58Oq9GKidkTAUQb\nu5G68vFZ42Pab0FKAfrD/bSe+mxJ1rU6Ew4WiNO6VB05X6IOcEFmLAwNrSEfkKwnCqdZxJBrkKwD\nwKr5q+AwOfBvn/8bevw9MTsUzy2eixAbwvqq9QCSY+pGXJoJiBybz5Cb9WZ63QpTClGaWoqttVsl\ng0cycPEZckA6UJFCMoz35MAPyGNd1JJe5EDiAbkUMmwZCLPhqBKD6s5qXL3marx96G1k2jLpIkMO\nd8+4G1eNvgpPXfYU6u6twzc/+gb3XHiPKouqY3SCRUqsz+a0vGnId+bDZXbhzWvf1OTTcNXoq2A1\nWDE2M/66ST7kAvJEa8jJPnxBH3r742fIxdeUnFdtdy2m5U1TLKWRqrGNW7I+cI5EzihOiBDZ+hv7\n35Dd13cqIOcZitHxS6M/RZY9K5ohT0INOTDAkPMl6wNs+VC0PRNDkiGPRbLOSwrK1ZDLBeT87xJm\nmZTaAAMlUyanpvfJE/DA3++nsmAgcv8SDshJmdpJ5da/nb2daPI0JW0cHEo8cfET0DN6PLjhQYEB\nJYG404247RnxP9HCkAMRp3VFybqIIVdKHJGkaK4jN6leSlpan1W2VsIf8guUUqSOfHJObK3syFxD\n2Gk1gqMktSQ5NeQ8yTrAzS2BUAC+oI++qxOzJ+LNg2/i4tcvRm13LX6/4PeYnT1bcn/kOYlVsh6L\nipHgilFXAJCWrUtJ1uXaXgJD1/IM+BcNyGcXcQ8QyVwdbBEaux1qPQQAmJA9Iab9ksUVeXiTJlmX\nMBviI9Ee5ImC34tcDHEygS9Z18qQ94f74Qv6ksK8OkwOeINeGpCSF1ItI1fkKsITFz+Bzr5OzQ7x\nfJA68n+e+CcA5WeDMuQKAXkgFEB7b3tUsJZhzaALnK6+rqgWWXOK56C9t13S+IkElCQ4IhOmEtvG\nh7/fD4POEPNgqgUkIBebfmkFCcjVEi/xgPYiH7juvqAPj2x6BOOeG4d/HPsH5pXMw6bbN6k+vzMK\nZuCj5R/h3ln3xizR5temxnp9dIwOm27fhN137VZNGhAUu4px4p4TeHThozEdSw78BBU/+CX9QmMp\nH5Lbdxhh5RpyhYBcfE35k7uSXB2IBI0ChjxGyTp5HgizLi5HIVhYuhD5znysPbxWcsEDfMfanvEM\n82JhyAEuOdfqaxVIdJPJkPeF+ui+z6UkSFIZcp7LuiaGnJdAoQE5ryTKHVDvI88PyMVJUHL/Er2P\nMwtnwmlyCtqdSuF8rx/nY1TGKPxk2k9wrP2YoIyAgARWcm3PttdtR7o1HaMyRmk6Hhk3ieyaj1xH\nLgw6QxRDrpQ4IgHUyPTkmuOJWxpLYf1JjmjhzwU3jL8BN4y7AXdOuTOm45ExgiRd1XrbZ1gz4A16\nEQwFFb+nBinJOsAlBg63HkaBswCvXP0KGDA42HIQl4+8HL+b9zvZ/TEMA4vBEuWyzoBLtslJ1uPx\nwiKkwj9P/DOqW4rUvEAUUlIM+VA5rAP/ogE5qaWdmCPPkBemFEYFM2ogi6tkB+SqDHkczoTJBG19\nJtF2gGTdSBaUL1nXWkMOcMFiMphX8lKSbH6LtwUp5hRNwf7dM+6mMqRYF1azi2eDAUMXH0oMuRaX\ndfJMkLIGgkxbJpVPi2tMAc7YDZCuIxe3h7is7DI4TA68U/mOJmO3ZJUVSCHNmoYwG0YwHEwoIB8M\nhjzdMhCQ97bj/SPvY+xzY/GHr/6ADFsG3rr2LWy+fXPMyb1YwWfe4rk+ozJGxexMW5BSkDQDP/4i\nnH/+D8x5AGuuWyNw5Y0V/HdN6tpk2bNg1ptlJetWgzUqyZRiiuxTLSCXqrGNVbJO5hYSyBP2RMyQ\n63V63DzhZnT1dWHdcWlTqnMpOEwUtGdvMLYacoBLzgVCAUFQJ2YB44XdaEeIDdFF6DklWefV/sbF\nkPNN3VIKlGvIZSTrnoCHymClGHIl8ANyvkErELl/iaq1jHojLh1+Kao7qxU7yFCH9e8AQw5wSkCr\nwYrfb/m9QNkIRCc5+JL1Zk8zTnWdwszCmZqNd+8qvwtbf7SVdqHhQ6/ToyilSGjqpsKQp1vT8cpV\nr+Avi/6i6fhaocaQ13bX4rGvHkO6NR3Xjr2W/j3Tlom1N6yNee4iSStaQ67yDNP1Io/AeevgW1jx\n/gpNLZMJ+C7rQGRuqemqQV1PHcZljcP0/Ol4bOFjWFC6AKuXrVZtk2w1WKMYcnK+4pryQCiArr6u\nuJS+pKy0vbc9qlONlGQd4O6PlMs67UGe/r1k/ayAOAgPTxsOm9EmYMg7ezvR4G6IawEtZsgTrSHP\ntmeDAXPOS9ZJJkmKIScvOakXIiwnoE2yTgZ/fyh5knUgEnxKtWaRg16nx0tXvgSz3oxSV2lMx021\npApqiZQWQHajHXpGr+iyLnZYJ8iwZSDEhtDV1yXLkAPAN3USAblIsm41WnHV6KtwqusU9jTuUfp5\nAIQtUZIN/rsUz6KWSOAGS7IOALe8fwuuW3sdzrjP4P7Z9+PYL47hpok3JaUtmBr4DPn5WMvIX4Tz\nE3UlqSX44YQfJrRvfvAsdW10jA6FKYUCNobAE/BIyh/5QV95vgpDLlFj2+huhMPk0Bw8Wo1WpFvT\nIwx5rzRDDgC3Th5wW5fpSf5dCsj1Oj3MejPHkMchWQeEssVE3Ln5EPsGkGs+WONjLOC7H2tpwymG\ny+KCntEjzZIGm9EmXUPu1c6Q9/b30oQFabupBC0MeSKmbgRKsvVgKIiXKl7Co1s4hdBgJ1zPFvKd\n+fjlzF+i0d2Iv+74q+AzuYC8t783Uj9eoK1+HOB6fF9UdJHs/FjsKsYZzxnaZccf8qsmju6ceqfm\nGnatoMlQCYacZVn8fN3P4Q168Z+X/aeiF5FWkOtKJesqAbmU59DqA6vx5sE3aYcXLWjyNMGsN9P3\njwTkxHOIqEAemvcQNt2+SRNhaTVaI+/kQLKMnK+YIY+lB7kUiGxd3P5MSrIOcOP/9wz5OQAyIekY\nHSZkT8CR1iNU7kGCc1JfHgsI20EZ8gRryI16IzJtmaoB+VBL1p1mJ7Lt2ZKZZJIsIDKm7r7YTN34\ng1FSJOvGyGQeDAXR5muLCmqVMClnEqr+TxX+47L/iPnY/Eyw0qKDYRikmFMUJevE6VJKsg5w7UJC\nbChqwT42ayzSLGmKDDn/3H44nguG1laulT0XAn+/f9DaRKSaEwvIiWv4YEgLycR1suMkFpctxsGf\nHcSfLv1TUuvY1JAoQz7UkGPIkwEBQy7TTqnIVYRmb3OU0Yw34JW8j+R8XWaXqvmLnKmbVrk6QYGz\nIIohl1oUTcqZhEk5k7Du+DoB+0hAJevnYeJGCnaTPWZTN0DaaT2ZknVAGJBbDBZVRulsgG+2RCXr\nMaxVdIwO47PHY2reVADSHgnUIEqk2iPBu9vvpmaXAKcuCoQCCIQCqgkV8rkn4IlyQU+WZB0AFpct\nBgDq+wIAoXAI/7v/fzHmuTFY+clKtPna8NDch6hy7ruA38z+DTJtmXh0y6PYe2Yv/TtJmpDnh6+0\noPXjRdrqx7WASNnre+rjShwlC+nWdJj1ZkmGfG3lWqw7sQ6XDLsEt0++PSnHi8VlHYhcE35yisjd\n5YyWxQiGgqjrrkOuI5cmSMjakawVY/XUAiApWSfnKw7IEyUWLxl+CSwGS1Qdudy8kGnLRG9/r2Dc\nArhr5jQ5k9ZBJhYM/ewwxJiYPRHBcBDH2rmaWmLoFldAPsCQkwxLMgaPXEeuag35UEvWAa6O/HT3\n6SgzEDIxE4a8298dUw0jf0JNimSdMOR+N71ufGM0LShIKYjLnIfUkQPqskqXxaUoWRe3PCMggwhJ\njogX7DpGh9nFs1HdWR01wUgxTIvLFsNldmHt4bWqsvXBlKwnypAvKluEI3cfwbIxy5J5WgA4JmXZ\nmGX48Icf4tNbPk1IXh0vEqkhPxcgZ+qWDAjq02WCUFJHLmZBPAGP5DZkn2qGbvxjkok/nkQgwI07\n7oAbbr+bLtbkXO5XTFyBYDgomUj7LjHkADeP+IK+uCTrgJAhT6apGxAJyOUMBYcCfIY8nrZnALD5\n9s344IecG7dcDXmKOSXqN5NjH2o5JFiQt/vaoxRaciDX1h1wRzHkyTJ1A7iAcEzmGGw8tRG9wV6s\nObQG458fj9s/vB31PfX4xYxfoOr/VOHxix8/Kyqos4VUSyreWPYGAqEArlt7HU3+KUnWd9TvAAMm\nqYkJvrFbvM9pMsAwDPKd+ZIB+W++/A0sBgteuOKFpD0DZF2sxWUdkDYBjjUgf3TLo2j2NmPR8EX0\nb3IMeSyQkqyTtZw4+Z0oQ24z2nDp8EtxuPWw4HfLSdbJ+M9nyVmWRXVnNcrSy4bknf6XD8gJc/bV\n6a8A8BjynNgDcsJ4EMOwRBlygAu4evw9UfU8fIjbFQwFRqSPQH+4P0r2SSXrmdGS9VgZ8mTI/fiT\nOWGZY10Yx4u5JRGGXG1icZldigy5nGSdGO6c6DgBQFrSSurIt9YK259JZRLNBjOuGXMNartrqSxN\nDoMpWecnFuRYTjWMyRwzKINsaWop3v/h+7h6zNVDtjDjJ4jOR7MufhIo2cytFvZdrvWZmmRdqV87\ngTg4I8G0VAs7JRQ6I8ZuSpJ1ALh54s1gwEjK1n1BHxgwg5Y8O9uwm+xxSdbJwu9sMeT8pNlQIlGG\nHODGY/IO8FuZEciVgukYHexGO018kfexvbc9Yiqqcv/4EnmxqiuZDDnAJaR9QR9GPTsKN713E6o6\nq3DXtLtw4p4T+Nvlf4tZ5XK+YMmIJXh43sOo6arBbR/chjAblg3I3QE3djfuxvjs8ZqTYVrAb30W\n73OaLBSkFKDJ0yQgnPz9ftR212J20eyktlmLkqyrMeQSknWydtQSkG+p2YJ///rfMSx1mED5SQJy\nEtzHFZAbrVFtz+Qk68kgFq8cdSUAoWzdE5SWrJO1Mj8h2+xthi/oGxK5OvB9QI6rRl8FAHj38LsA\nuIBcz+jjMumwm+yCQCvRGnIgIkMncg4pNHub4TA5hlSCSGSbYtm6uIZcYOoWQw05kBzJOgk2PQEP\nZZnPltQ/15GLkekjYdAZVH+7y+KC2++W7W0tK1m3iRhyqYC8WNrYTW5BRGTr71S+o3jOgypZT5Ah\n/67je4ZcHnIO7nyQxR/faT0QCiAYDkoG5PNL5mNW4SzaZkwJYtMrtWBaDvx+uEqSdfLdS4Zfgm11\n26LMNr0BL+wm+3eG1bMb45SsD9R7EmYGiCwaB6OG/Fx5L5PBkPMh/q394X60eltl51X+3EdaZLX7\n2jXfP71OD6vBKqghJ2yXOCBP9D5ePvJyAFwC/LbJt+Ho3Ufx/678f5q7UZzPWDV/FS4ruwzrTqzD\npyc+pdeUStYHnqOd9TvhC/o0tzvTCsqQdw0tQw5w66wwGxaMFYRZTUbdOB+xuqwrMeRSvk58dPZ2\nYsUHK6BjdHjz2jcFCQ+++irPkRezyTUQYchZllU1dSPXNhFicenIpQCE7c/klDdSDDk1dBuCHuTA\n9wE5ClMKMatwFrac3oJmTzMOtRzCqIxRcQ/kfNfcpEjW7cqtz8JsGGfcZ4aUHQcijoTixV+TpwkG\nnQHD0ri2Rd19sUnW+fchqQy5/+wz5ADw0pUv4X+v+V/VWkKX2QUWbFSNHEG8knUAmJ4/HWa9OcrY\nTW7gumT4JUizpOGDox8onnOyjPek8H1ArozzvYZczQl9sPdNe5HzGHJqPikxThWkFGDbj7dhcq56\nj1mx6ZWa3FwO/PY7WvZBkgWrDwhZ8nMpOEwG7Ca7wDE8Ecn6YDHkvcFzSLLOZ8hjvGZS4Bu1AZzi\ngAUrH5Dz3ifiq9Leq12yDnDXl19DToIiklDx9/th1BkTrtlfNHwR3rn+HVT+vBKvX/P6kDgvDxX0\nOj1+Pv3nALgSAyI9Ju8G+TchXZIdkJOkx+nu00POkOc7hF0uAF5AnuRWqmScCLGcQ3qspm6kdzig\nzJCzLIuVn6xEfU89Hpn/SFT9P39uidd7h6xLAqEADcCJH5BcDXkixrsFKQWYljcNW2q20GSdO+AG\nAyZq/KUMOU8hNZQ9yIHvA3IAwA3jbkCYDeOZnc+gx98Tl1ydgM9YJkuyDsi3Pntk0yNo9jZrkk4O\nJmjrM1FGrtnTjGx7NuxGOww6A7r6umKqYRysGnJPwBNpHRZjDXkimF86HzdNvEn1e2SBtL95Pw40\nH8Cuhl3YUrMF60+ux4dHP8Sx9mNwmBxR7J0WhtxsMGNGwQzsa9onCPjFbc8ITHoTZhfPRm13raQr\nJcAlhgKhwDlbQ/5dx3nvss6XrCdZcq8pIB+QrPNLbkiAkag532Aw5HJ9yPm4duy1sBlteOPAGwL/\nh+9cQD7wvBCGJRGX9WTVkPP7owMDkvU4fEcGA3x3bLKITyQgFycf5FpyEpDxyWKwYHr+dAAihlzD\n/XOanaoMeTKSwwzD4MbxN2JM5piE93U+ghItnVVRySodoxPMO8l2NxdI1oeYISdjL7+OnKyFSGCX\nLBj1Rhh1Rvr/Wk3dyDXiS9erO6tlvX9e3fcq3j38LuYUz8GDcx+M+pwfkMdj6AZEnpXe/t6zIlkH\nONl6MBykveFJ2ZlYEUbGf/6alhCK3wfkQ4jrx10PAHhm1zMAgAlZ8bewICwGkDxTN0A6IH993+t4\n/OvHUZZWhueXPp/wsRIBkXhEBeTeZurcSOqiY3H5TXZALqgh95x9hlwryEJ7/mvzMfmFybjw5Qux\n4PUFWPLmEix7ZxmqO6sxLHVY1HZkciC/TU5mNKdoDsJsWFAXrsRQTM7hmMD9Tfsl9xcIBQAkp6xA\nCvzA47sUTCQL5ztDPuSmboQh50nWSYCRaIJAbHpFg+kYJYBkbqnvqUdHbwcYMIpJX4fJgWvGXIOq\nzirsbNhJ/+4L+s5LnwE5kOtL5shzzTTcoeMAACAASURBVGW9P9yPYDh4zryXYsm6w+SAXqePe3/i\n5INaKRj5/pjMMZQNi5shHwjiBysg/1cHv6Wt1LtBnqVUS2rSzUytRiuy7dnnBkMu0YucJPKSHZAD\nwnlKcx/ygWvEl673+HtoeRMfx9uP455P74HL7MLqZasl33/+/BQ3Q85T45Dnh8RFyTZ1I6Dtz05w\ndeRuv1syySdVQ17dNbSSdcOQHPUcQ5GrCDMLZ9LgJBGGnCyaGDCaM/VKIJMakVcTbK7ZjLs+vgtp\nljSsu3ndoAwKsSDTlgmnySmoIfcEPPAFfVRO77K4htzUTaqG/Gwy5Fqxsnwl3AE39IweVqMVFoMF\nVoNV8N/zS+dHbSdu1SDHoM0pngNs5erIF5VxzppKDAUNyJv345Lhl0R9nqyFrBy+Z8iVQSa+89Ws\ni78AGQrJusvsgsPkkAzIE2XIxQFLwgz5gKlbqiVVVZJ766Rb8dbBt/DG/jcog+UNer9T7xC5vmfc\nZ2DUGTUnBe0mO6wGq5AhH4QacmJqdK5cc7GpW6LEgUlvgkFniGLI5QJycm3GZY2jiq72XhFDHlI+\npsPkgNsfcVmnknWey/r3AXnisBltyHfmo6qjKtL2TJT87ejtwMzCmYPS0q/YVYyDzQdpTfSQMeS8\nciGCwWLIAe66kt+s2dRtIBAn2xFUd1YLDEQDoQBufu9m+II+rLluDW0vJ4ZBZ0CKOQU9/p6EJeu9\n/b2RtmcKDHmKOSXh93Za3jTkOfLwzxP/RCgcgjvglvTzkqsh1zG6IfOI+D4gH8D1Y6+PBORxtDwj\nIIumFHNKUgYowt7yGfJjbcdw7TvXAgDe/+H7Q9JmSQyGYVCWXobj7cfBsiwYhonqRZpqScWxtmMR\nU7dY254low+5qIbcrDfHvDA+G5iYMxGvXfNazNuJa0rlWLiLii4CEGlpAUj3ISeYlDMJABeQS4Eu\nZM+CZP18lGQPNsgi+3w169IxOsp6Jfv+ajF1YxgGRSlFkjXkiQbkRr0RJr2JBixqhmxyyLBmwKw3\n0xpyLdtfOvxS5NhzsKZyDZ5e8jQMOgP6+vvOmeAwGSC/pdXXGvNYnm3PFjLkoeQz5GS+O2dc1o2R\n/tHd/u6ETU0ZhqHGeoB6QE7e73GZ42gCOartWa/yMR0mB0JsiCZTCKvGZ8i/nyeSg7K0Mmyt20qT\nH/x3g7x7MwuSK1cnKHGVYE/jHto15lxiyAerhhwQJu+0tj0j94cE5Fm2LLT6WlHdWY0ZBTPo9x/e\n+DAqzlTgjil34IcTfqi473RremIBuQRDLu6IQNDibUmKF5aO0eGKUVfgpb0vYUf9DngCHlqSxocU\nQ17VUYViVzGMemPU988GvpesD4DI1u1GOzUgiwfkxU3WwEEl615ukmvztWHpW0vR2deJl658CQtK\nFyTlOMnAiPQR8AV9dEImJg3EmM5ldsEb9KLb3w09o1d1jwSEQXhS+5APSNaJnP67AqPeKAhA5Bao\nadY0jM8ajx31OxAMBQFwA7q4LoxgRPoIWA1WWck6rb0cJMn6YJp+fRdAFtnn87Uh6pWhYMgBjo3p\n7OukgTiVrCdhYU+SDQA01X9LgWEYFKQUUJd1LaZwBp0BN0+8GR29Hfj0xKfnHFubDJAkS5gNx6xK\ny7JnocXbQussk5VYlArIz5VrbtabwYChNeTJYB35z7dqQD5wv8ZljUOKOQUGnUHAkGupZyfXlygH\nxZL1wTQY/VdDWXoZwmwYR9uOApAOyMWGYMkCYSoPNB8AkJjXQSIg6/qzxZDzE8eqLusyDDnxleKX\nkW6o3oAntz2JsrQyPLPkGdXzmJ4/HeV55TG36CQga8m+/j46ttI+5DyX9TAbRqu3NWG5OgGRrX90\n7CP4gj7JeSHNmgYdo6MJWV/QhzOeM0MmVwe+D8gpSlJL8PPpP8fdM+5OiNkm0pZkSWuIhKPJ04S+\n/j5cs4arCfzd3N/h9im3J+UYyYK4jlxs0kAGjjPuM7AZbZoCYf7gn0yX9R5/D5o9zeekXD1R8CcI\nJRZtTvEceINeynq7/W44TU7J+6LX6TExZyIOtx6m9eJ8UMm6fnAWQXqdnr5T58rC9lwCmfjO52tD\nJs1k/warwUrHdKXgmvYiH5CtJ0uyDkDAIMZbQw5w8wuZC7QG9CsmrQAArD64Oib/jvMF/N+itX6c\nIMuWBX/IT+/1YNSQE3fqc+XdZBgGFoMF7b52hNhQUsgD0gseUA/IC1MKoWf0mJo3FQzDIN2aLmTI\nNSRVyPVtdDdCx+jou0QW/d9L1pMHsq6rbK0EIFR6uMwu6BgdLiy4cFCOTVqfkWTAUEnWSUvjs1VD\nLmDIVUgOq8EKg84QqSEf+DcJyIlzeLuvHbd9eBv0Oj3euu4tTe/Z2uvXYsdPdqh+Tw4CUzciWTdH\nS9bJWJSooRvBpcMvhcVgoa16peZwHaNDhjWDJlZOdZ4CMHSGbsD3AbkAzy19Dn9e9OeE9kEk68no\nQQ5wk2eeIw+N7kb8+B8/xta6rVg+YTn+sPAPSdl/MiHuRU4l6/aIZJ38XeuCkM9UJLMPeW13LYLh\n4FnrQX42QWSARp1RUSYp7kfuDkibXxBMzpmMYDhIJ0c+klV7qQTy/JwrC9tzCd8FhpywH8k2HGMY\nhu5b6foQYzfitJ4sl3WyD8qQ98bX9gzg5hcWHJurNaCfmjsV47LG4eNjH9MF5fn8nIjBf15iZdDE\nTuvJUvpQI7/guSdZB7jxgiTMB4Mh1zE6WSnvQ3MfQsXKCpSmlgLg5qv23nYqudWSVCHfafI0wWly\nCpg40vP4+4A8ORAH5Pzr+pdFf8G7N7w7aFJyUt8cDHMqvqGSrAMcS342XNaB2CTrfMNkIMKQT8md\nAiASkK/atAqN7kb8YcEfcEHBBZrOg2EYGHTxVzbTGnIVyTo1dLMlhyG3GW24ZNgldC6XG1Oy7Fl0\n7B/qHuTA9wF50pFjz8H/z96dx1VV548ff917gcu+7wiIuOAGIu5LLrnboiUt1tg20zJWNr9WnWns\n4Uxji85MpTWTNTOYaaVp+UXTTM00UREVXHIvEBAE2Xcu3N8ft3O4uAIC98p9P/8R4d7LOR/uPee8\nz/v9eX+Ghw5nXJdxrfaaga6BZJdms/LwSoaFDuO/d/7XKsus1aXPfl06QC1Zd20oWQea1XG2rbqs\nn7x4ErDODus3Sikv8nLyuub75LKA/NcM+dVcq9N6ay0XdC0SkF+dOof8Ju6e3VYl69C0YF/NkBc3\nzpC3xpi6Org2NHX7NUPekkDIfBUPb8emBfQajYbfRP+G6rpqEg4lAOBs13E+Q40y5M0tWb+k03pr\nZ8jLa8qtrmQdTMcLpZdBawTkLvamteDrjfXklOXg5+x31c7tHo4exATGqP/3cfahsLJQDSiakyGv\nM9bhrndXb6BUGaow1BuoN9ZLQN5KlKXPrjSHfFDIIKb3nN5mv9u8uZaDzsGif9MQ9xAKKgvUaT/5\nFfl46D3aZL5xoy7rTbg56OHooWbGlYA8wCWAELcQzhaepbymnBWHVxDiFsKLw19s9e29GnUOuVmG\n/Eol66215Jm527vfrn59tetaX2dfCisLMdQbLL4GOVggIDcYDLzwwgvMnDmT3/zmN2RmZl72mPXr\n1zNjxgzuvfde1qxZc83n1dfX8/bbbzN0aNvMYWkunVbHrkd38edRf26111QC2i5eXfjq3q+s9kRj\nvmYlXKFk3ezE39SLXPODUWvst73OHr1Or94V65AB+a8Z8uuVtIZ7hBPiFsKujF0YjcbrZ8gDGzqt\nX6qtu6xDQ0bQmi5srUVHyJCP7zKeIZ2GtEkWpDkZcqVkvbWauoHpAqvSUEldfR2FlYV46D1atNRU\nJ/dO6tfNKXl/oO8DaNCQkJqgbk9HYX4uaUnJOphlyA3VaDXaG8oKgXV3WYfGnbJb4/Pm6uCKESOV\ntZXklOU0q/LMx8kHI0b1c9fUZc8Ubno39bxTXVetnotuxtUmrNGlGUPz905bU0rWwXLl6gplHrmy\nOk9+RX6brW7UnAw5mM5vl2bIPR096eLVhXMl51h5eCUl1SU8GvvoDR/bmsM8Q36tdciVDHlrNHVT\nTO0+Vf36aufwEDdTxdmujF1q3GJTAXliYiIeHh6sXLmSJ598ksWLFzf6eWVlJe+//z4JCQksX76c\nhIQESkpKrvq8ZcuW0blz5/bejXY1rss4unh1YcPMDWqJnTUKcQvBQefAmcIzGI1GkrOT0aBRD2Qt\n6ZTd2l3WofEd+I48h/x6F+wajYYRYSPILc9V54Zf62JI6bSuNFgx154l69ZU+mktOsIc8rkj55L0\nWFKbLJ+jZsivcdxRsjGXZchbqakbmBrHFFQWtGj+ODTOkDenKVyoRyijO49Ws/M38/vkUuZ/n+aW\nrCtNhJQLwtYqdXbQOWCnsbPKpm5w+TzgG6X8DS6UX6C0prTZATlAelE60LwMOdBoqaQqQ5WaebPW\nxMXNxtvJu9F7pD3H1dvJW/3cWLJcHSDY9dfGbiVZGI1G8srz2iwgN7/J2KQMud6Dspoy6urr1MDc\n09FTbcj3151/RYOGR2MfbZPtvRrzqSRKAK58ds0DcqWatrWauoHp5nVsYCxw9WPKnMFz0KBh9sbZ\n6lRMJbFoCe0ekCclJTFunKmce9iwYRw4cKDRz1NTU4mOjsbFxQW9Xk///v1JSUm56vNmzZpFfHx8\n++5EO/v9wN9z5tkzRPlGWXpTrkmn1RHhGcHpgtNs/XkrB84f4K6ed6mBlPkBtakXJ629Djk0Ppnb\ncoYcGsrWvzn9DXDtC1p3vTsRnhFXzJC3R8n6wzEPMytmltqnQTRQ7kR3pMxna7qn1z2MDxp/zfen\nkn1uq6ZuymsWVhW2eKlF8/d+c+egK83dwLqCwxt1Qxlyl8Yl69V11a12DHO2c2687Fk7Zhavpy0y\n5NBQHdesgPzXKVaZJZk42jk2KYPXKEPu4Kb+zcwv/CUgbx3KkraK9hxXjUajZsktnSFXjr3ZpdmU\n1pRSW1/bZgky8+NzU1YjUj7DpTWljTPknqZsb0ZxBuO6jFP7NrSXS9ch1+v0aDVa9Dq9msSBtilZ\nh4ay9audFwZ3GszjcY9zLO8YW85uwcvRq9X6f7VEuwfk+fn5eHubLiQ0Gg1arRaDwXDFnwN4e3uT\nl5d31ec5OVnPSU6Y5pEXVBYwb+s8AF4e/rL6s5aUrLf2HHJo/OHsiBly8znk13NpQH697ERMYAwX\nyi+oDfsU7XERdGfUnSRMS2iTDOrNriNkyNvSnCFzWBi38Jo9FZztnfFx8mkoWW/lpm5gmj9eUVvR\nOhnyZr7GjF4z1M/nzdxr4FKtMoe8omEOeWsdw5x0TlbZZR0ab0trzSGHhv4xLcmQGzE2+YaK+ePM\nM+TmJesSkLcepT8QtP+4KpVLFs+Qm61F3pYN3aD5JevKZ7i4qpiiqiI0aHDTuzUqv/5t/9+2/oZe\nh9pl/dembkq2X2+nv3JTt1bMkINpnydGTmRKtylXfczCWxeq5wFLZscB2nQywerVq1mzZo16EWQ0\nGklLa1zuWl9ff83XUNYHvdT1nicsQ5lvlJydzK0RtzIwZKD6M/M7T03OkNu1bpd1kAy5ub7+fXFz\ncGNn+k7g+hmmaP9ovjr+Fak5qQR2bbjoao+SdXF16hzyDtSsyxJCPUI5efEkRqOxVZu6Ka+RWWLq\nfdLSDLn5DcTmvoa73p07e9zJ50c/t6rg8Ea1SobcbA55ax3DLs2QW9OYNypZb8UMubLCSksy5ND0\nGypXm0MuGfK2YT6PvL2njFlNhvzXm6FZpVlqRY2vk/WUrINpLfKiqiLc9e5oNVo1IPd19uXOHne2\nybZeS6OmboZq9TPpaOd45aZurTiHHEzn800PbrrmY7ycvFg0YREPffUQ3by7tervb642Dcjj4+Mv\nKyefO3cu+fn59OjRQ82M29k1bIa/vz95eXnq/3Nzc4mNjcXf3/+az2uOlJSUFj3PljV1zBzKG8pr\n7g64u9HzsosaloyoLKls0mtmVzQ8J/1MOilFN/63M1abbvJo0JBxPINsbfZ1nnFj2vv9VlZgCiTq\nSuqa9Lv7ePQhKS8JgPKC8ms+x7XcdCG0IWUDvsUNJ6MT504AcD7zPCmapu+vfBZvjDJ++eWmO/bG\nUqOM6TVcb2zcjG5U1Fawfc92svNMx4VTx06RbXdjx4jSAtMayzvTTDe+6sqa9tm8Em8HbwpqCsj5\nJYeUgua9xmTPySS5JOFW4tbs32+t76ufS39Wvy7MLWzWdpYbTFUQp7NPk5KSQmlVKZ4Onq2yr046\nJ7Irsjn1yykAMn/JJKXCOsawqqwhO3X+l/OklN3YdhXnmeatpvxsep2KCxVNHsOi80Xq13Z1durz\nrvX8rItZ6tdVRVUcO3wMgNz8XA4ePmh63YtFVvuebWutvd+6koYGlEdSj7RrlZpduek631BmaNO/\n5/VeO7/SdI49kn6EUIOpAWh1YXWbbFNBboH69U+Hf+Kc/blrPr6i0HTTb1/qPvJK83DWOpOSkkKt\noZYQ5xCmh03nSOqRVt9OxdXGIOOiadmxs+fOUlpRisaoISUlBU2dhpLyEvV5P1/4GQetA6eOnLLI\nClK9jL2YHzOfaK9oix4z2q/d3q+GDx/Opk2bGD58ONu2bWPw4MGNfh4TE8Orr75KWVkZGo2GgwcP\n8sc//pHS0tJrPu9qmfQriYuLa5V9sRUpKSlNHrNc91wWHV3EgOABPDnhyUYfLveL7mBaYYvwoPAm\nvWZwaTBsM30d3SuauE43/rcLPhMMeabymMEDB1//CTegOWPXWvob++MY4MjkbpObNM90SvkUkrab\nAvJu4d2uub2eBZ68lPISF+0vNnpcsjEZUiEqMoq4vk3bX0uMTUdiPn5xxHGg2wGifKOsaq6qNWnK\n+61vTl925u7EOdQZ3UnTRejwgcNb1BHdXNeKrnAadF6m1+ke2r3F7/3OKZ0pOF/A8P7DGy0L1BRx\nxPHQuIea/Tut+bPqV+wHO0xf9+nWp8nHHzBdNzh+50iNfQ0OnRwoqiliePjwVtlXpyQnquur8fDz\ngOMQ0zOGuM7WMYbB6cHw66yjQdGDiA2KvaHX+6HmBzgJ+fWmoGVY9LAm72t5ejn8eg0c4BlAXFzc\n9d9v2YDplEVkaCRDBw6FzaB31dOlWxfYBeHBTbvG6Gja4rNa6lPKX9P+ioPOgYEDBl7/Ca3oJ/uf\neP/E+3QJ6dJmf8+mjFltXS2arRoq7SvxDDZVe/br3o+42NbfpmRjMvxk+nrwgMHXrfaIqoqC0xDY\nOZCKAxV09uys7k/m4MtXsmpN1xq7+qx6SAJPX0/qz9fj7uBOXFwc7rvdKa0pVZ9XtrOMANcABgwY\n0Kbbei3t9buvFfC3+2TMKVOmYDAYmDlzJqtWreL5558H4MMPPyQ1NRW9Xs/zzz/Po48+ymOPPcYz\nzzyDq6vrVZ/38ssvc/vtt1NWVsbtt9/OBx980N67JMyM7jyaB/o+wNIpSy+709WSkvU26bL+a1lj\nR5w/DqYeCw9EP9Dkpk/KPHK4fslnhFcErg6ul61FLiXrlhcbFCvB+A2aEDkBgMVJiymrKcPJzumG\ng3FoKLFVOri3dA45mKaZuOvd1Xlvtu5GStY1Gg1+zn5cKL/AB/tN1w6/6/+7VtkuZ53pHKfMN+3I\nJevKPP4WNXVzurGSdXe9O/ZaezRoqDbIHPK2oJSsW2KFk5iAGDRoLlt+rb3Z6+zxd/Fv9znkTWnq\npjTjLagsoKS6xKKNycwp1yNVhqpG04Ec7RzVa0aj0UhueW6rN3S7GbV7hlyr1bJw4cLLvv/444+r\nX0+YMIEJEyY06Xlvvvlm62+kaDFne2dW3LXiij8zP/G3pKlba3dZ74jzx1tiUMgg7LR2GOoN170g\n0mq0RAdEszdzb6MGSO3RZV2ItnZHjzsYFDKINcfW4Org2ioN3cAsIP+1YVxL55ADvDPpHV4b/Zrc\nfPnVjSx7BqZ55EcvHGVF2go6uXdqtH7tjVCCF6VhkTX9vRp1WW+Fubnmy/rBDcwhb2pTN7PzlJuD\nGxqNRm0UJQF56wtxD0Gv01tkTPsG9OWn2T8R4RXR7r/7UsFuwZy4eELtOdHWAbmd1q5J0wOUa2ul\nR4m1BOSXNXXTXd7UraymjCpDVas3dLsZSbti0W4cdA7qB7RFTd1aucu6BOQmzvbOxAWZSoeackEU\nExBDnbGOY3nH1O/JRZDoCDQaDW/c+gZgulBorWXkLmvqdgMZcg9Hj3ZfvsaaKUvpQPO7rIOp03p1\nXTWlNaX8rv/vmrTsVlMoGXLl4t1aM+QtuYlxqUZNqHT6ZgX55pVcTQ3IL82Qg+ncIwF529BqtIyJ\nGEN0QLRFfn8P3x5NyhS3tRD3ECpqK9TmhW1VpaR8npp6zat83tKL0gHrCcgbNXWra9zUrcpQpWbH\nofUbut2MJCAX7Uo5UDT1Qler0WKvtQdav8t6Ry1Zb4mRYSOBpt3xjQmIAWhUti4l66KjGBMxhvFd\nxgOts+SZ+eu0RoZcNKbRaNQL2OaWrENDp3WdRteqSwNdmiG3qoDcvmGZRHud/Q2/nvnnJNA1sFmN\nmRx0Durfrak3VBpNU/j1OUrnZiUgl3NR69owcwObH9xs6c2wqGBX09Jnabmm1aLaOkPe1PewkiHP\nKDE1UbN0R3qFcpwprSml3ljfqGTdiBFDvYHcMgnIFRKQi3alHCias5SQ+Ye4NSgncMmQN5g3ch7/\nmvovRoaPvO5jYwJNAblyUgIpWRcdy99u/RvQehc2yg1IZSm1G8mQi8sp49uikvVfs1x3Rt2prjXc\nGpx0l5SsW2D+7dUo29La729o2Y1upWy9qTdUdFqdug/K31yvM5XBKuciyZC3Lq1Ga5EO2NZEOT6c\nLjiNTqNrs7XR1YC8g2TIi6pMKykon0llv6oMVW22BvnNqN3nkAvbphzAmpMtcLRzpKymrNWCvZFh\nIwnzCGN059Gt8nodgZeTF08MeKJJj+3r3xcNGlJzGzLkUiYoOpIBwQP47O7PCPUIbZXXuzTTLhny\n1qVmyFtQsh4dEI1Oo+O5wc+16jY525nOccrFqDVmyFsroLg0Q95cPk4+/FL0S7P+fq4OrlQaKtUg\n3tHOkcKqQjkXiTYT4m5ai9yIEV9n3zZb/k25wdXcDHl6sXUF5MpnUDkGKtfwyverDFUNJevS1E0C\nctG+mluyDjRqBNEaYoNiSX8uvVVeyxa5OLjQ1bsrqbmpGI1GNBqNlKyLDufePve22mtdWhHU1BUQ\nRNO4OLig1WhblIWeFTOL27rf1urlp0qGHEzNmVqjNLy1tHqG3Oz9HejSgoC8mRlyMN18yavIazSH\nXLqsi7ZkXkHTVuXq0PIMudJU0VoCco1Gg16nbwjI7Rpfy1fXVUuG3IyUrIt2pRw4mpsh12l0rdZs\nR9y46IBoCioLyCrNAqCqTi6ChLga8wyiBk2blTraqtu63cb0qOktKqnVarRtcnGtZMjBusrVwToz\n5NC8CgfldyrPkS7roq2FuIWoX7dlQK42dWtigsPFwQUNDcc+a5lDDqZjzaUl6446swy5zCFXSUAu\n2lVL55BL5tW6XNrYTc2QyxxyIS5jXhHk4ejRZqWOtur1W19nzT1rLL0ZjZhnyK2pXB0atqct5pDf\nSEDenB4ASkDeKENeV01lbSUg5yLR+to7Q97UzvJajbbRZ8daMuRguhmp9E6RkvVrk5SjaFfxveM5\nX3aeXn69mvycYZ2GtWqzHXHjlMZuqbmpTO0+taGpm9w4EeIy5hlEmT9uG8wz5NYWkLd2ybqTnRMa\nNBgxtigg7+HbA6BZy/lNjJyIXqdX90W5yC+tKW30fyFai4+zD/Zae2rra9tsyTMwZZWbOwXHw9GD\n4upiwMoCcvuGfVCbuikl6wZTybpWo1VvytkyCchFu5oQOYEJkROa9ZxldyzDaDS20RaJllAz5L82\ndpMyQSGuzkHnoF7ISYd122CeITe/KLUGrV2yrtFocHFwoaymrEUB+RNxTzCuyziifKOa/Jw/j/oz\nfx71Z/X/Svbt0vJYIVqLVqMl2C2Y9OL0Ns2QazValkxeQlfvrk1+jvnNNasKyM1uKlwtQ+7r7ItO\nq7PI9lkTCcjFTcHWl9uwNmEeYXg6el5Wst7UEishbI2LgwtFVUWSIbcR5hei1pYhjw2MZXLXyUyL\nmtZqr+li3/KA3F5n36xg/Eou7egsAbloC+0RkAM8NfCpZj3e/OaaNfUoMb8ZeekSxkpTt07unSyy\nbdZGJrIJIZpNo9EQHRDNqYJTVNRWUF1Xjb3WXubGCnEVStm6ZMhtg7POekvWPRw92PjARkaEjWi1\n11Te35aaC6pc5CtluxKQi7agLH3m59J2JestYZ4ht6ambuafw0vXIS+uKqaoqkgauv1Krp6FEC0S\nExBDvbGeIxeOUGWokgsgIa5BaWTp7ShLntkCa+6y3hbCPcPp7NnZYueBS0vWpZ+JaAvBrqZ+Rm2d\nIW8uJSvuYu9ilUsswuUl6+dKzgHS0E0hJetCiBZR5pGn5aZRbaiWCyAhrkEy5LbFmkvW28LKu1aq\nzT0tQc2QV0mGXLSdB6IfIKMkg2Ghwyy9KY24O5i6rFtTuTpcuamb8m9GcQYA/s6yBjlIQC6EaCG1\n03pOKtV11bLMjBDXoCwNJXPIbYOy1i7YRkBu6SyXlKyL9jAoZBDr7l1n6c24jBKIW1NDN7gkQ/5r\n0kb5N704HbD8scNaSMm6EKJFevv1RqvRkpqbKiXrQlyHZMhti06jUwNxWwjILe3Spm5yg1jYEmXe\nuNUF5PZXL1lXM+QukiEHCciFEC3kZO9Ed5/upOWmUWWokpJ1Ia5BDcglQ24zlL4BtjCH3NKU80+9\nsR69Ti8rswibYq0ZcvNKoUubuikBuTR1M5GAXAjRYjEBMRRXF1NQWSAZCSGuQQnOJENuO5SbMJIh\nb3vmFVpyc1jYGiVDbk0d1uHa44G36wAAIABJREFUy57llOUAUrKukIBcCNFiSmM3kDl7QlyLn7Np\nmZwg1yALb4loLxKQt58rLa8khK2w1gy5eXXQpU3dFFKybiJN3YQQLaY0dgPJSghxLc8Pe56hoUPp\n7d/b0psi2okSkJtniUTbMK/QkoBc2JoQt5BG/1qLK80hv/RaUQJyEwnIhRAtZp4hl5J1Ia7O38Wf\naVHTLL0Zoh1Jhrz9SIZc2LLYoFg2PbCJoaFDLb0pjVypy7r559Nd7y6f119JyboQosWC3YLxcfIB\n5CJICCHMSUDefiQgF7ZuYteJuOvdLb0ZjVzpc2n+PWno1kACciFEi2k0GrVsXUrWhRCigbL2vHRZ\nb3vm5x+p1hLCOlyxZN3s8ykN3RpIQC6EuCFK2bpcBAkhRANXe8mQtxfJkAthfa5Xsi7zxxu0+xxy\ng8HAK6+8QnZ2NjqdjoULF9KpU6dGj1m/fj3Lly9Hp9MRHx/PjBkzrvq848eP85e//AWtVouHhweL\nFy9Gr5fAQIj2ogTkchEkhBANpGS9/UhALoT1Mc+Qq+uQm1WzSMl6g3bPkCcmJuLh4cHKlSt58skn\nWbx4caOfV1ZW8v7775OQkMDy5ctJSEigpKTkqs97/fXXefnll/nkk08ICwtj7dq17b1LQti0QSGD\n0KCRA6sQQpgZGDIQHycfevj2sPSmdHjSZV0I69MoQ66TDPm1tHtAnpSUxLhx4wAYNmwYBw4caPTz\n1NRUoqOjcXFxQa/X079/f1JSUq76vA8++IDo6GgAvL29KSoqase9EUL09OvJvt/t48XhL1p6U4QQ\nwmrc0/se8l7Mo5N7p+s/WNwQyZALYX2ulCGXpm5X1u4BeX5+Pt7e3oCpIZRWq8VgMFzx52AKsvPy\n8q76PFdXU0lYRUUFX3/9NRMnTmzHvRFCAAwIHmB13T2FEMLSNBqNpTfBJphf5EuDUSGsw5U+l3Za\nO7QaU/gpTd0atOkc8tWrV7NmzRr1hGQ0GklLS2v0mPr6+mu+htFovOL3zZ9XUVHB73//ex577DG6\ndOlyg1sthBBCCCFuFuZBuKNOMuRCWAOlZF2r0WKnbQg5He0cqaitkJJ1M20akMfHxxMfH9/oe3Pn\nziU/P58ePXqomXE7u4bN8Pf3Jy8vT/1/bm4usbGx+Pv7X/F5dXV1zJ49mzvuuINp06Y1abtSUlJu\ndNdsjoxZy8nYXZ2MzY2R8WseGa+Wk7FrPhmzlmvu2OVX5atflxSW2PTY2/K+t5SMWctda+zOlZ8D\nwEHr0Ohx9tgDkPdzHil5MvZggS7rw4cPZ9OmTQwfPpxt27YxePDgRj+PiYnh1VdfpaysDI1Gw8GD\nB/njH/9IaWnpFZ/34YcfMnjwYO66664mb0NcXFyr7lNHl5KSImPWQjJ2Vydjc2Nk/JpHxqvlZOya\nT8as5VoydkVVRfCd6euwoDCbHXt53zWfjFnLXW/sAksCYbtpLrn545y/d6a4tpixg8fi4ejRHptq\nFa5186LdA/IpU6bw448/MnPmTPR6PW+88QbQEFjHxMTw/PPP8+ijj6LVannmmWdwdXW96vNWrlxJ\np06d+PHHH9FoNAwZMoTf//737b1bQgghhBDCAqTLuhDWR2nqduln0tHOEb1OL72HzLR7QK7Valm4\ncOFl33/88cfVrydMmMCECROa9LydO3e2/kYKIYQQQoibgvkccmnqJoR1uNLa4wDDw4ZTWFkoTS/N\ntHtALoQQQgghRGvRarQ46ByoqauRDLkQVkINyHWNA/JPpn9iic2xau2+7JkQQgghhBCtSbnol4Bc\nCOug1WjR6/RStdIEkiEXQgghhBA3NUc7R0prSiUgF8KKPD3oacI8wiy9GVZPAnIhhBBCCHFTUwJx\nCciFsB6LJiyy9CbcFKRkXQghhBBC3NSUsthL56sKIYS1k4BcCCGEEELc1CRDLoS4WUlALoQQQggh\nbmoSkAshblYSkAshhBBCiJuadFkXQtysJCAXQgghhBA3NcmQCyFuVhKQCyGEEEKIm5oSiMuax0KI\nm40E5EIIIYQQ4qamBOKSIRdC3GwkIBdCCCGEEDc1Nwe3Rv8KIcTNws7SGyCEEEIIIcSNmDdyHqPC\nRxHkFmTpTRFCiGaRgFwIIYQQQtzUuvt0p7tPd0tvhhBCNJuUrAshhBBCCCGEEBYgAbkQQgghhBBC\nCGEBEpALIYQQQgghhBAWIAG5EEIIIYQQQghhARKQCyGEEEIIIYQQFiABuRBCCCGEEEIIYQESkAsh\nhBBCCCGEEBYgAbkQQgghhBBCCGEBEpALIYQQQgghhBAWYNfev9BgMPDKK6+QnZ2NTqdj4cKFdOrU\nqdFj1q9fz/Lly9HpdMTHxzNjxoyrPm/r1q0sW7YMe3t7fHx8eOutt3BwcGjv3RJCCCGEEEIIIZql\n3TPkiYmJeHh4sHLlSp588kkWL17c6OeVlZW8//77JCQksHz5chISEigpKbnq81asWMHHH3/MJ598\ngpOTE1u2bGnvXRJCCCGEEEIIIZqt3QPypKQkxo0bB8CwYcM4cOBAo5+npqYSHR2Ni4sLer2e/v37\nk5KSctXn/fe//8XFxQWDwUB+fj4BAQHtu0NCCCGEEEIIIUQLtHtAnp+fj7e3NwAajQatVovBYLji\nzwG8vb3Jy8u75vPWrVvH+PHjCQ8PZ8CAAe24N0IIIYQQQgghRMu06Rzy1atXs2bNGjQaDQBGo5G0\ntLRGj6mvr7/maxiNxit+3/x506dP58477+Sll15iw4YNTJ069Qa3XAghhBBCCCGEaFttGpDHx8cT\nHx/f6Htz584lPz+fHj16qBluO7uGzfD39ycvL0/9f25uLrGxsfj7+1/2vPr6enbs2MGoUaPQarXc\neuutJCcnXzcgT0lJaa1dtBkyZi0nY3d1MjY3RsaveWS8Wk7GrvlkzFpOxq7lZOyaT8as5WTsWke7\nd1kfPnw4mzZtYvjw4Wzbto3Bgwc3+nlMTAyvvvoqZWVlaDQaDh48yB//+EdKS0sve55Op2P+/Pms\nXr0aPz8/0tLSiIiIuObvj4uLa8vdE0IIIYQQQgghmkRjvFpNeBupr6/nj3/8I+np6ej1et544w0C\nAgL48MMPGTx4MDExMXz77bd89NFHaLVafvOb3zB16tSrPm/nzp289957ODg4qMue6fX69twlIYQQ\nQgghhBCi2do9IBdCCCGEEEIIIYQFuqwLIYQQQgghhBBCAnIhhBBCCCGEEMIiJCAXQgghhBBCCCEs\nQAJyIYSwQsXFxdTW1lp6M25K9fX1lt4EYQMuXrwIyPtNCNGxSbux5mvueUECcsGqVav45ptvALmw\naK6KigoyMzMtvRlWS8anZbZt28YjjzzCkSNHLL0pN438/HzGjRtHQUEBWq1WLiCaSc4DTVdfX8/K\nlSt5+umnqampQauVS6nmOnPmjKU34aZ1+PBhS2/CTeX777/n1KlTgASWzVFbW8uKFSvUZajF9RkM\nBpYsWUJxcXGzr0PkLGLjjEYjmzZtYunSpQByYdFMzz33HAsXLlQzJaIxGZ/mUQ7ejo6O1NXVcfjw\nYXJzcy28VTeHgoICMjMz+c9//mPpTbnpyHmgebRaLVlZWeTm5rJy5UpALvSb46uvvuIPf/gDP/74\nIyA3gJpj9+7dPPPMMyQmJgIydtdz5MgRFixYwNdffw0ggWUz7Nq1i3fffZfVq1cDcoxritOnT7Ns\n2TL+/e9/N/u5cta1cRqNhrCwMGpra/nwww8BqKurs/BWWT/lJOjm5obBYODo0aPU1NRYeKush4zP\njblw4QIBAQHU1NRINuQ6lPeak5MT9913H5s2beLAgQNoNBo5ljWRnAeazmAwAODl5cWrr77K9u3b\n+fnnn9FoNHLBeh3K+Li5uWFvb8/mzZspLy+XG0BNoIyds7Mznp6erFu3jpKSEqkGusSlYxEQEEDv\n3r0pLi5m06ZNgNzEuB5lDIOCghgxYgTff/89x48fR6PRyNhdhTJmXl5eTJw4kS1btnDo0KFmjZkc\nBW2IwWBg//79VFdXA6YLroKCAkJDQ/nnP//J559/DoBOp7PkZlqtsrIy9WvlAiIsLIyAgAB2795t\n81lgGZ/mKywsZN68eWzevBlouNj38fFh+vTpeHl5kZmZSWpqKkVFRZbcVKuybt06fvjhB6DhvZaa\nmkq/fv148cUXeeeddwA5ll2JnAea59SpU8ybN4/S0lIA7Ozs1O87OjoyadIkPv30UwoKCiT7dg1G\no1Edn6ysLCZPnkxoaCjr1q1Tfy6uThm77OxsHnzwQQYMGKDePBMmBoNBvfGvvJ8yMjLQarVMnDiR\nnTt3AlIBdCU5OTlUVlYCDe+1Q4cO0a9fP6ZPn87//vc/QMbO3Pnz58nOzgYaj9mIESN47rnnWLRo\nEdD0MZORtSELFizg3XffJTk5GTBdcHl7e5OamkrPnj2ZMmUK8fHxvP322xbeUuvz+eef88QTT3Ds\n2DHAdOAvKytTAyqtVsuuXbvYtWuXGlTZEhmfljlz5gy5ubmsWLGCuro67O3tAVOZnbu7OyNGjOCb\nb77h5ZdfJicnx8Jbax0KCwv517/+xb59+xrNQ42IiCA/P5+JEyeSl5fH2LFj1ZJY0UDOA82TkpLC\n1q1bSUpKUi/ya2pqiIyMZOjQoQwYMIBvv/2WF198kcrKSskgmTl37hxTp07l6NGjaDQatUmlt7c3\nrq6uDBw4kBMnTrBjxw4uXLhg4a21LhcvXuTOO+/k22+/bfR9vV5PTk4O9957Lz/99BOJiYlkZGRY\naCutR1FREbfffjuvvfYa0JAF9/DwIDY2ln79+uHj48Nrr73G999/b7kNtUKZmZlMnjyZL7/8slFl\nVFhYGDqdjmnTplFQUMCf//xn9u/fb8EttR4lJSXcd999fPHFF42STSEhIZw4cYKpU6dSXV3Ns88+\ny44dO5r0mhKQd3DK3cLS0lIyMjKIiYnhp59+Ii8vDzDNuwwLC+PkyZOcPHmS9PR0unXrBkjJorlf\nfvmF7t27s3btWsCUJXF1dcXR0RGNRoO9vT1vvfUW3377rU1mSWR8mi4tLU39OikpiUceeYTg4OBG\nc47Cw8NZv349zz//PF5eXowZM0bNzNmikpIS9e59SkoK4eHh2Nvbc+DAAfU4deLECS5cuMBbb72F\ns7MzAMOHD7fYNlsTOQ80T05ODtXV1RiNRqqqqrj//vtZs2aNelPMwcGBU6dO8eyzz7JgwQIGDhyI\nXq/HyclJMkhmMjMzqa6uVvs6KDcclfegr68vhw4dYvHixZIhv0R2dja1tbUkJSVRUFCgfr+kpIS4\nuDicnZ0pKCjg73//u82fU8HU1LN///4cOHCAEydOqBU+WVlZlJWVkZOTw969e9mxYwcuLi6AlK4r\nMjIy6NOnDykpKWrGV/m+o6MjSUlJZGRksHfvXnr27GnBLbU85Th1+vRpgoKCKCsr4+TJk+r3c3Jy\n8Pf359ChQ1RVVZGcnExcXFyTXlv3mnI7SXQoubm5vPfee+zdu5egoCACAwPp27cvISEhpKamYjQa\n6datG05OTrz55pts27aNZ555hpiYGBISErjvvvts+sLi8OHDHDp0iIiICAwGA7t372by5MmkpKSg\n1Wrp0qULubm5bNy4kbVr11JTU0OvXr2IiooiMjISBwcHS+9Cm5Lxab7jx48zf/58tm/fzunTp6mr\nq+Oee+4hLCyM0NBQPvroI4YPH467uzsHDx4kJyeHl156iQcffJC9e/fi4OBA586dbepzWVdXx1tv\nvcUXX3xBSkoKvXv3JioqimnTpnHx4kVOnjyJi4sLQUFBGAwGli1bxtChQ/nb3/5GUlISZ86cYciQ\nIZbeDYuR80Dz/Pjjj8yePZvTp0+zZcsWJk6cSEREBKNHj+bHH38kPz+f6OhodDodmZmZaDQaXnnl\nFe666y42b96Mh4cHoaGhlt4Ni6mtrSU5ORknJyecnZ3Zs2cPM2fOZM2aNXh7e9O1a1fAFGy++eab\nfP/99wwZMgQPDw8iIiIICAiw8B5YTm1tLbt27cJoNOLl5cVPP/3ELbfcwp49ezAajfTs2RONRkNm\nZibz58/nu+++Y8KECdTW1hIWFkZ4eLild6Fd5ebm8p///Ie6ujr8/PzIyspi7Nix2NnZ8cUXX3DH\nHXcApnPI0qVL2b17N/Hx8URFRXH8+HGGDRtmszcy9uzZw5o1aygqKqJr164UFBQwc+ZMDh06REZG\nBv369UOn01FYWMhf//pX8vPzeeWVV7h48SI5OTnExsZaehfa3Z49e1ixYgUZGRlER0cDMGXKFLKy\nsjh79iyhoaG4u7tTWlrKq6++Sm5uLosWLeLs2bMcP36cESNGXPd3SEDeAZWXlzN37lx69uyJi4sL\nW7Zsoa6ujoEDBxIYGMiZM2fIysrC09MTX19f4uLimD17Np06daJnz57odDp69+7daM6XrTAYDCxc\nuJCNGzeSm5vLoUOH8PLyYsaMGQQEBFBZWcnWrVsZNWoUnp6enD17lltuuYXZs2fTs2dPtm3bRr9+\n/dQMXUcj49Ny69atw9PTkzfeeAOj0cjbb7/N2LFjcXV1xcfHh+zsbLZt28b48ePp3bs348aNw9PT\nE4CuXbsSHR1tU8ERwM6dOzl27BiLFy/m4MGDHD16FDCV0nl6enL06FGKioqIiIggPDycu+++m4ED\nBwIwbNgwBgwYgF6vt+QuWIycB5qnpKSEDz/8kGeffZZZs2axbt06CgsL6dq1K87OzoSEhLBixQp6\n9uyJv78/vXv3ZvTo0Wq2bcSIEWrAaUuU98fevXt58cUXyc3N5csvv6Rz586MHTuWwMBAfHx8+Ne/\n/sV9990HwM8//0xgYCB/+tOfGDNmDPn5+ZSVlREVFWXhvbGMw4cPM3v2bMrLy/nkk08IDg4mLi6O\nbt264e3tzRdffEFcXJx6wR8YGMhLL73EsGHDsLe3V4Oojk55rx04cIAFCxYQFhbGkSNH+Pbbb5k1\naxZubm7ExcWxbNkyfH19iYyMpLCwkO7du/PSSy/Rq1cv7O3tcXV1pUuXLpbenXaljN3WrVv597//\nzejRo/nkk08oKytj6NCh6s3ETz/9lB49ehAQEEBdXR2jR4/mscceIyAggKCgINzd3enUqZOld6dd\nmL/f/v73v3PbbbexYcMGsrKy1ERKQEAAW7duxdXVlZCQEDw9PRkxYgSPPvoorq6u9O/fHwcHByIi\nIq77+yQg70Dy8vJwcXHh/PnzbN68mQULFhAbG0tFRQVpaWl4eHgQEBCAs7MzR44cwcHBgW7duuHg\n4IBer6e6uho7Ozt69+4N2ObyEHV1dXz33Xf85S9/YcKECRQWFrJixQqmTp2KTqfDxcWFI0eOkJ2d\nTb9+/Rg4cKB6Eebm5sYtt9zSoYNNGZ/m2bhxI/n5+YSGhrJr1y61QiAsLIz09HQ2bNjAlClTqK+v\nJzIykq+//prg4GCOHTtGXV0dPj4+AOpFvy0ER0ePHqW2thZ3d3c2btyIRqNh5MiRdO3alZycHI4f\nP06vXr3w8fGhoqKC9PR0fHx8KCwsxNPTEzs7O4xGI05OTuj1eurr6zv8mJmT80DTlZSUsG7dOgID\nA/Hy8mLDhg2EhYXRpUsXunbtyqZNm/D29iY4OJiAgAAyMjI4e/YsnTt3ZtOmTfTp00f9TNrqjR/l\n/fHpp58ydOhQnnvuOerr6/nvf//LmDFjcHJyIjIyki1btpCVlcXAgQPp1q0bcXFxODg4qFUayvvN\nFq1bt47u3bvzwgsv4OPjQ2JiIuHh4QQEBBAaGkpycjLnzp1jyJAhBAYG0q9fP/R6PXV1dURGRtpM\nxrKqqgp7e3vS0tIoLCxk7ty5jB49mo8//hgXFxciIiLQarV4enrywQcfcP/99+Pt7U1kZCRgKlH3\n9/dX/29rNBoNGzdupHPnzsycOZM+ffqQmJiIt7c3QUFBaqXB/v37GTNmDF5eXgQHBwOmZExgYKDN\nBONgqlrR6XRs2bIFV1dXZs2aRXR0NAcOHKC8vJyIiAh8fX25ePEihw8fVm+aBQYGAqapYkr1T1NI\nQN4BnDx5ktdee42tW7dy6tQpxo4dy+bNm3FzcyMiIgIXFxcyMzPJzMykf//++Pr6YjAY+Oabb/j7\n3/9Ofn4+I0aMsNk5quvXr2fLli1UVFQQHBzM8uXLueuuu9Dr9YSHh7Nv3z7Onj2rZtt8fHz47rvv\nyMzMJC0tjS5dunToizEZn+Y7e/YsTz31FOXl5Xz99dd4eHgAsG/fPsaNGwfA0KFDee+99+jduzfB\nwcG4urqye/du3njjDZydnZk6deplpf0dOTgqKyvj7bff5rPPPiM9PZ1Dhw5x991389lnnzFq1Cj8\n/PwwGo2cOXOGmpoaunXrRpcuXdi5cycffvgh69evZ+TIkfj6+qLRaNSx6shjZk7OA82zYcMGXn/9\ndUpLSzl8+DAXLlwgJCSE4uJievbsSUBAAOnp6Zw+fVrNckRHR/PCCy/wf//3f3Tq1InBgwcDtvMe\nM3fhwgUSEhIoLCwkJCSEzMxMqqqqiI2NpVevXuzZs4e8vDxiY2PRaDT07duXd955h9jYWD777DN8\nfX3x9vZGo9Go7zlbuOEIpptm77//Pjk5OQQHB1NWVsaxY8cYM2YMkZGRHDt2jKysLDp37oyLiws9\nevRg9erVuLq6kpCQgL+/P35+fmi1WnW8OvLYpaWl8Y9//IOkpCSCgoKoqamhuLiY8PBw3Nzc1GXg\nRo4ciaOjI927d2fXrl3s2bOHDRs2UFVVRVRUVKPzgq3YtGkTCxcuVKd3eXl5cerUKWJiYggJCSE/\nP5+jR4/StWtX3N3dGTx4MJ999hmpqam8//77REREEBwcbFPVed9++y2vvfYax48fp7a2lt69e7N1\n61aGDBlCUFAQFRUVHD9+HDc3N4KDg+nTpw87d+5k69atLFy4UE26NHelEtsZ4Q7sH//4B6NGjeLN\nN9+koKCA//3vf9x777188803AHTq1InIyEhKS0spLi4GYO3atRw+fJjHH3+cV155xZKbbzEGg4El\nS5awceNGevTowUsvvcSFCxfo3LmzumySk5MT999/PykpKeTn5+Po6EhxcTEpKSls3LiR2NhY3N3d\nLbwnbUPGp+V27dpFbGwsf/3rX3nppZf45JNPuOeeezhy5Aj79u0DTN2t7777bnX5rrlz53L+/HlW\nrVrF66+/rmbFbcXx48fJzc1l9erVzJkzh2PHjpGRkUFsbCxffPEFAN26dcPV1ZWKigoANm/ezNq1\na5k2bRrbtm2jR48eltwFi5LzQPOkpaXx8ssvs3jxYrp3705ZWRkeHh5kZ2dz8OBBAKZNm8YPP/xA\nQUEBRUVFvPrqq8TGxpKQkMCcOXNs8gIf4ODBgzz22GPU1NSQmJjIV199RWVlJQaDgaysLAAeeeQR\nNmzYQElJCQBdunShtraWhx9+GAcHhytmKW1hLI8dO8bjjz+Os7Mzp06d4qOPPqKyshI/Pz+14eed\nd97J8ePH1WZuISEh5OXlMW/ePHx9fenVq9dlr9tRx05p1HnrrbcSHBysVp2VlpaSmZkJwLhx4zAa\njSQmJqrjUFdXx/bt2xk6dCh33nmnJXfBYg4cOMCqVat4+umnCQgI4NtvvyUnJwe9Xt/ovZaenq5+\nbnNzczl58iRHjx7lhRdeaHJDso7i+PHjLF++nBdeeIFRo0axadMmzpw5Q9euXdm+fTtgahZrNBrV\nlSFyc3PZsWMHWVlZvPXWW02aL34lEpDfxIxGIxkZGfj7+6vNoKKionBwcKB79+5otVp1Tdno6Gj2\n7t2LTqfj3LlzxMXFsXHjRu6++24L74Xl2NnZkZaWxtNPP8348eP57W9/y8cff8zzzz/P+vXryc3N\nBSAgIIBOnTqRk5PDhQsXePvtt5k9ezZffvklMTExFt6LtiPj03xKp83w8HB69OiB0Whk4MCBODs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LOzU8fOx8eH+Ph4tXLFlihjtm/fPnbv3o2HhwcXLlwgKyuLQYMG4evri06nIysrCzs7O3V8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\nIAiCIAiCYAf/Aa7miDl7lK/0AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7ffa08c9c990>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Cumulative Returns\n",
    "plt.subplot(2,1,1)\n",
    "pf.plotting.plot_rolling_returns(bt_returns, benchmark_rets)\n",
    "\n",
    "# Daily, Non-Cumulative Returns\n",
    "plt.subplot(2,1,2)\n",
    "pf.plotting.plot_returns(bt_returns)\n",
    "plt.tight_layout()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "With the annual and monthly return plots, you can see which years and months the algorithm performed the best in. For instance, in the monthly heatmap plot, this algorithm performed the best in June 2014 (shaded in dark green). In a backtest with a longer period of time, these plots will reveal more information. Furthermore, the distribution of the monthly returns is also instructive in gauging how the algorithm performs in different periods throughout the year and if it is affected by seasonal patterns."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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fcys+3vpzfEKSTh07pkuXLuVEvAfExcVZ/87r711WkClzjpYHAODYKE4AALR3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\ny8tLX3zxxVX1EZuaI283qX3TX34VqsTIiUvlutR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      "text/plain": [
       "<matplotlib.figure.Figure at 0x7ff9fd39ad50>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(1)\n",
    "plt.subplot(1,3,1)\n",
    "pf.plot_annual_returns(bt_returns)\n",
    "plt.subplot(1,3,2)\n",
    "pf.plot_monthly_returns_dist(bt_returns)\n",
    "plt.subplot(1,3,3)\n",
    "pf.plot_monthly_returns_heatmap(bt_returns)\n",
    "plt.tight_layout()\n",
    "fig.set_size_inches(15,5)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Return Quantiles\n",
    "\n",
    "These box and whisker plots provide an overview of the return quantiles broken down by the return timeframe (daily / weekly / monthly) across the entire backtest time period."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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IT1W6FOiQNv3hPguhAYD9UllrghYsWJDhw4cnSQ4//PBs3Lgxzc3NSZLVq1en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\nAABAoQhBAABAoQhBAABAofx/jYyZBGdCMWEAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7ff9fd3bc090>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "pf.plot_return_quantiles(bt_returns);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The center line in the middle of each box shows the median return, and the box shows the first quartile (25th percentile) as well as the 3rd quartile (75th percentile). While a high median return is always helpful, it is also important to understand the returns distribution. A tight box means that the bulk of the returns (25th - 75th percentile) fall within a tight bound - i.e. the returns are consistent and not volatile. A larger box means that the returns are more spread out. It is important, however, to take note of the scale to the left to put the quartiles in perspective. In addition, returns over longer periods of time will have a wider distribution as increasing the length of time increases the variability in returns. \n",
    "\n",
    "The 'whiskers' at the end indicate the returns which fall outside the 25th and 75th percentile. A tight box with long whiskers indicate that there may be outliers in the returns - which may not be ideal if the outliers are negative. This may indicate that your strategy may be susceptible to certain market conditions / time periods. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Rolling Plots\n",
    "\n",
    "Below, we have several rolling plots which show how an estimate changes throughout backtest period. In the case of the rolling beta and the rolling Sharpe ratio, the rolling estimate gives us more information than single point estimate for the entire period. A rolling estimate allows the user to see if the risk-adjusted return of the algorithm (Sharpe ratio) is consistent over time or if it fluctuates significantly. A volatile Sharpe ratio may indicate that the strategy may be riskier at certain time points or that it does not perform as well at these time points. Likewise, a volatile rolling beta indicates that it is exposed to the market during certain time points - if the strategy is meant to be market neutral, this could be a red flag."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Rolling Beta Plot\n",
    "\n",
    "The plot below shows the rolling beta of the strategy against benchmark returns over the entire period of the backtest. In this instance, the benchmark return of the SPY was used. Thus, the lower the rolling portfolio beta to the SPY, the more market neutral an algorithm is."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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PR48e1aZNm7RmzRqFh4dLunAPtTt48KCuvvpqpaam+ldR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\nqampeF4eaFbL7t/K0aNH2bJlC4MHD8bHx4f4+HhaWlp49dVXu0Wk7Nc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      "text/plain": [
       "<matplotlib.figure.Figure at 0x7ffa066fe410>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "pf.plot_rolling_beta(bt_returns, benchmark_rets);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Rolling Sharpe Ratio Plot\n",
    "\n",
    "The plot below shows the rolling Sharpe ratio over the period of the backtest. This allows you to understand the performance of the algorithm at different time points."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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gqtJoR0S6ZoXcuQyxi3M9tqFFGo5mme0eJ5ntcmWQRCQ4FCCJiIiIb+4V7Gw2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\nK/8G9ucX39L5X2oAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7ffa066feb10>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "pf.plot_rolling_sharpe(bt_returns);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In the case of this strategy, the Sharpe ratio is above 2 for the first 4 months before dropping toward the end of the year. It would be helpful here to check if this algorithm is exposed to other risk factors. This may help to explain the end of year slump. In addition, it would be helpful to understand the market situation at that point in time to see if the strategy was in some way affected by market events."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Rolling Fama-French Single Factor Betas Plot\n",
    "\n",
    "In this plot, we see how exposed the strategy is to the 3 classical Fama-French factors. A factor model can be used to analyze the sources of risks and returns in a strategy or of any return stream. By looking at a strategy's historical returns, we can determine how much of these returns can be attributed to speculation on different factors and how much is a result of asset-specific fluctuations. This allows you to find out the sources of risk the portfolio is exposed to. For more information about Factor Models, check out the [Factor Risk Exposure lecture](https://www.quantopian.com/lectures#Factor-Risk-Exposure)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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ccUWkzalTp+J0OikpKeGhhx7i9ttvZ8eOHfh8Pq6//np27dpFaWkpV1xxBY8/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      "text/plain": [
       "<matplotlib.figure.Figure at 0x7ffa044574d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "pf.plot_rolling_fama_french(bt_returns);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "These classical risk factors measure for small market cap, high-growth, and momentum stocks. The SMB curve represents small-cap stocks minus big-cap stocks, HML curve represents high-growth minus low-growth stocks, and the UMD curve checks exposure to any momentum strategy (i.e. stocks which are trending up perform better than stocks which are trending down). The idea behind these risk factors is that even though they may provide higher returns, they are able to do so because they are riskier. Therefore, low measures of these in your strategy may indicate that your strategy is less risky. \n",
    "\n",
    "Similar to the beta exposure to the market, a high exposure to a fama french factor ( $\\geq 1$) means that you are simply buying these known risk factors. If an algorithm's return is made up of *known* risk factors, such as the Fama-French ones, then the strategy is not as valuable in generating alpha. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "#### Drawdown Plots\n",
    "\n",
    "In this plot, we visualize the drawdown chart described above. This chart provides an overview of the worst drawdown periods in the backtest. These periods show the time windows in the backtest in which the top 5 drawdowns occurred. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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k29FWk53Hzfj7MtaN8eIlVnfFXQ2w4zD4QnrfzhQKikRERIQ/HOnkJ7/ZR162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\nCCGEEEIIYdUkKBJCCCGEEEJYtf8Pvfa6IK3FbXYAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7ffa02eb7690>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "pf.plot_drawdown_periods(bt_returns);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This, coupled with the underwater plot, allows for a quick check into the time periods during which the algorithm struggles. Generally speaking, the less volatile an algorithm is, the more minimal the drawdowns."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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7tMU6C0Ck7A2OH4CpQ1HUC+2r0V+omvwMzSHRePBn3wuxuBBZUYL1KnITdfXR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\n82veTupHLOXasyiwaHGLxpx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UrgVtkNCjdL9smxbqZimqtZA1Q70eGTJNUEuFyW5fiT/c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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7ffa02122a90>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "pf.plot_drawdown_underwater(bt_returns);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Gross Leverage\n",
    "\n",
    "Gross leverage is the sum of long and short leverage exposure per share divided by net asset value. This plot allows you to see the amount of leverage being applied to the portfolio over the backtest period."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "collapsed": false,
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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YzA2aBkWCJCAZawyKUvGUqY030ZoUeWMXQoIgOgdREhGPxRHjYg1KAYIg2hsKioiOQZIl\n7Dm9p+GxGBez7FOkzhTxIo9ELOHbGInwMLNmJwiicxBlEXGOmrcSRKdBQRHRMZT5MqpCFcu1Zduv\n4aXGIEibOSLaB8oUEQQBnJHPEQTRWdBVTzBR4ks4On807GE4osgX8YaRN+DQzCEAAMdxlq/hRb4h\nCFKa+hHtB2WKCIIAzsjnCILoLGh1RzAxXZrGS5MvhT0MR5T5Mt646o04NHsINbFmSwan1BCpsRNM\nEa2FLMuUKSIIAkBjpshKYk0QRPtAQRHBhCiJEGUx7GE4osgXsa5nHWbLs5guTWMoN2T5Gq18jmhP\nqmK1Zc9ron2hxXg4qGuK+rJ9mCvPhTwigiCCgIIiggkZMkSpNRePZb6MfDIPYKVx60jXiOVrBElo\nMFog2pMSXyKXKSJy3Lf3PlSEStjD6DjU8jnqVUQQnQMFRQQTkiy17O5lkS8im8wixsVwcvkkhvPD\nAFbkEUaBniAJ5ELUAZT5MmRQUEREi5pYQ02shT2MjkMtnxvMDTb0tyM6ixJfwoHpA2EPgwgICooI\nJiRZalmZkZIp2tS7Cc8ef7YeFPWke0x7FRHtT4kvUfBLRA5RFsGL1Cg6aNSGOgO5AQqKOpj5yjz2\nT+8PexhEQFBQRDDRDpmi8wbOw97Te5FL5gAAhUzBNCiiQtv2pyyU6+cDQUQFURLBSxQUBY0kS/Va\n0sHcIGZKJJ/rVGRZbtmNYIIdqiAnmGjloKjEl5BP5jGYG0RXqqv+eCFdwEJ1wfB1qXgKNbGGTCIT\nxDCJECjWisgmsmEPgyAaoExROIjSmUyRMv8TnYkkS1Rv2kFQpohgQpZb12ihxJfqNUUfeP0H6o8X\nMgUsVIyDomQ8SQuTNocyRUQUkWSJMkUhQP3oCAUZcstuBBPs0FVPMNHKmSIA9RvdjnN31B+zyhQl\nY0lamLQ5SsBMEFFCkATakAkBSZaoxpAA8FqmiEx4OgYKiggmWtlowYiedI9ppojkE+1PiS9RpoiI\nHJQpCgdJluqW3ERn0+obwQQbFBQRTEiy1LLyOSO6Ul0o8kXDv5N8rv0p8ySfI6KHJEu0IRMC6poi\norORZZLPdRJ01RNMtKO+luM400JKks+1P1WxinQ8HfYwCKIBQRIgSELYw+g4ZMgNQVEumUOJL4U4\nIiIsKFPUWVBQRDDRjvI5K/Tkc+RG035wHBf2EAiiAcoURQPqVdS5tONGMGEMBUUEE628a+I0kCH5\nHEEQYSBKZMkdBQZzgxQUdSidaMndqms8L6CgiGCilYMip5B8jiCIMBBlat4aBaiBa+fSaWue5doy\n/vX3/9rwWCdJRykoIphoZaMFp/IoyhQRBBEWNPeED2WKOhdZljvKknuqOIVTy6caHvvbx/4Wi9XF\nkEYULBQUEUx0ohMLWXITBBEGlKWOBt2pbizVlsIeBhECnZYpmipNYabcmBVd3b0aP97345BGFCwU\nFBFMiLLYkkYLVprgZDxpGPjoLUw4juuoiZIgiOChLHU0sHIoJdqXTjNamC5NN7SnkGQJg7lB1MRa\nR2SLKCgimJBluSXlczWxZmq5XEgXDC94vYVJIpYgq9w2ghY8RBRJxVOUKSKIEOm0TNF0aRqDucH6\nvxcqC+jN9OK/bvmv+Mm+n4Q4smCgoIhgolUniCJfRDaZNfx7T7oHC5UF3b/pyeeSsSQFRQRB+Eoi\nlqBMEUGESKuueZxSESrIJXP1zzxVmsJgbhCDuUFUxSqWqsYyUkmWsPf03qCG6gsUFBFMyJBbUj5X\n4kvIJ/OGfy9kClio6gdFevI5krUQBOE3VFNEEOEiy3LHKQl6M72Yr8wDWMkcDeWGAADXve46/GS/\ncbZoobKA/zf2/wIZo19QUEQwIUpiS+6alPiSaaaoN9NrmCnSC4BosdI+dNoNj2gd4rF4S8637Ug8\nFm9J6Tjhjk7LFAGNbotTxSkM5VeCoqH8EMp8Gcu1Zd3XzZRnUObLgY3TDygoIpho1aJDq0xRT7rH\nMFOkK5+jTFHbwEs8UvFU2MMgCCLC9Gf7MVueDXsYRMDI6CxLbqAxKJopz2AgO1D/23VbrjN0opsp\nzaAiVAIZo19QUEQw0ap9ikp8qcFRRYup0cJrWSF1MJiIJShT1CaU+BLyKeOAmSDChDKZ0SCqvYoE\nScBUcSrsYbQtrbrmcYIiFVSf67zIIxlP1p8znB82zBbNlGdavtaagiIf2D+9P+wh+IYkS4hxrXfa\nWAVFmUSmKe2rLEYUpzlBEpCIJQCQ0UI7UeJLyCaMpZUEQRAD2YGm/i1RYLI4iR++/MOwh9G2SLLU\nMZmipdoSutPdGMwNYqZkfK5ft+U6XSe66dI0+rJ9fg7Rd1pvdRtxZFnGLw/+Muxh+IYkS+A4Luxh\nMGMVFOl9JkmWEOfi9R4VgiQgGVvZMSH5XPtQ5sum50Yr0IqSVsIerTjftiNRzhS180Zs2HRSw3rF\nVMGqFcBwfhhFvohirdjwuOJc18r4HhTt378fV155Je67776mvz311FN4//vfjxtvvBF33HGHrddE\nHV7iDYvQ2oF2zRTpwUuNaWNtpojkc+2BlQlHK3DX7rtIZkUQPhLVmiJBEnBs8Vjg1z8v8jgwfSDQ\nY4ZBJxktTJem66YKVueTnhNdO9yDfF3dlstl3Hrrrbjssst0/37LLbfg9ttvx/3334+dO3fi8OHD\nlq+JOmW+3PKFZmbIstw5QZHI14MgjuMag6IIZ4pkWcavDv8q7GG0DGWh9TNFk8VJSHB34+ZFvslQ\nhCCIFaI65wuSgLXda3G6eDrQ485X5vG7478L9JhhIKNzLLmnilMNjVvNlEEjXSNYqi6hxJeCGl4g\n+Lq6TafTuPPOOzE4ONj0t4mJCfT29mJkZAQcx+Hyyy/HM888Y/qaVqDEl1rektCMVs0UaYsFbb1G\n4utyubp87rX3iLLRgiAJeOH0C6EcuxV31NQBs9Ob3xNHn/BwROwsVBeYv/s9p/Y0/Ps3R3+Dbz3z\nLfzTrn/CPz73j/j3l/8dL02+RIESQUQYQRKwdWQr9k3tC/S4Jb6EqlAN9Jhh0EmZIqVRq8JceQ59\nGeMaoT9Y/wcN95F2kPr6urqNxWJIpfStbqenp9Hf31//d39/PyYnJ01f0wqUhTbPFKE1M0VOLlZ1\nEKT8uxWMFsI8B+/+/d2hHNcNitECB85xQe3zp573eFRszFfmmZsqa5vsCZKAG19/I/7npf8TH3vz\nx3D5xssxU57Bv+39N9y7514vh0sQhEcIkoDzB87H4bnDgR63xJc6YsOkk4wWamINmUSm/u+p0pke\nRXps7N2I8YXxIIYWGImwB6DgNj05Ojrq0UjccXjpME5Ongx8PEEd79CJQzhZCv7zsaA3trGxMYzC\nfMxj42PYhV31AGqyPImxxTGMFkcxPj6O3eXdOLJ8BKNLozi6fBQz1RmkJ9O+fAYWtJ93tjqLVyde\nDeU3eunVlzAqh3NuOP28L558EenpNMZPjWOXvAtxLs78Hq+MvYLRZHjXxNGTRyEOi0zfweGxwxhN\nnHn+/lP7EZ+MYzIzWX8sjzwuwkX48ZEfY1SI7jWvJcrzEwtjY2MAYDl36dEu34FbnHwPRveLsfEx\njHLR+l73L+yHIAk4vHDYcu718pzYv7Afr8y8gtF4tL4PM5x8/gPTBzAxO9F215Pe5zk6drR+3k8e\nn8TjU49jODuM0Rn9zy7LMvaM78E51XPASzyOHTsGURYdzVdRIbSgaHh4GFNTZ7z1T58+jeHhYcfv\nd8kll3gxLNdIxyWsWV4T6HhGR0cDO97hzGFgLjrftxaj72IU1t/RS4mXcOEFF9aL7o/OH0V8Jo5L\nNl+CUYxiy1lbkJnP4JKzL0HvbC+OzB/BJWeH+z3ofd7xhXH0LfcF/hvJsoz/KP1HKOeGm2vgpT0v\n4a0XvBVjL47h4osurmcDWfjZ4s9CvSbi++OQZIlpDI8WH214/ti+MVy84WLdncFd8q5IXfPLtWXk\nkjndrHWQ86HfKIsL1s/TTt+BG5x+D0b3i13yLlx88cWRkgmJx0UkYgmUjpVMx+b1OVEaK2E8Od4y\n55nTzz97eBZTx6Za5nPawei7UM/zU4Up7J/ejyu2XoHhvPHaXLlWTi2fwqU9l+LU8qnIf1dmAW5o\nOqi1a9eiWCzixIkTEAQBTzzxBN72treFNRzPaIeibTNa1ZLbDj3pHixUF+r/VhstAGgZS+6KUAml\nrk3p5dRqVIQKMokMOHCOteNh1hHKsgxREi3lc9q6p6rYWA+glodGnV8e/CVOLwdbWE4QXakuFPmi\n9RMDRLluV3WtCtRsoSyUO0I+J6NzLLnVa7uB7AAOTB9Af7bf5BVnmCnNYCA7UO/r2Kr4egfcs2cP\nbr75ZszOziIej+OBBx7Ae9/7Xqxbtw7bt2/H5z//eXzmM58BAFx77bXYuHGj7mv+7d/+DYVCwc+h\neka7N4JUeve0I4V0AYvVRazqWgWg2WiBl84ESVE2WqgIlaYFbxDwEt+Sk6HiqBjjYo5lvGE68JSF\nMrpSXZY37l0nduGKTVfU/62tOzMLiqK2EVITa23d+oCIJkqvoq5UV9hDqaNct1uGtmDf1L76/ctv\nSnypJeuLWekUowXtvW8wN4jTxdOWG2XJeBJVoYrp0jRGukaQWcigzJfRne72c7i+4WtQdNFFF+EX\nv/iF4d8vvfRSPPDAA0yviTpOrJ9biVbNFNlZ7BYyBcxX5uv/blWjhYpQqQdzQcKLPESJrdg/Cijn\nM8c5N1ooC+FlihYqC+jP9ptmigRJaArctM5RrZQpqgpVCoqIwBnIDWCmNINNvZvCHkod5bo9q/cs\n7BzfiXec9Y5Ajtv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YcUNhAyYWJ+wPNADKfDl0+VwrBUeeyOckHulEOtQaFTP5nG5Q1OqZ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7YSmPoUHTt2DH/6058AALt27cLf//3fO35iVuAVWpBCzfr47RJ6v2jeRU1GUa6Uo3pa1aFYnhde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\n4mo/AJ5J+V8FgJNNAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7ffa03708390>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "pf.plot_gross_leverage(bt_returns, bt_positions);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Monitoring the leverage of a strategy is important as it affects how you trade on margin. Unlike discretionary strategies where you could actively increase or decrease the leverage used in going long or short, algorithmic strategies automatically apply leverage during trading. Therefore, it is useful to monitor the gross leverage plot to ensure that the amount of leverage that your strategy uses is within the limits that you are comfortable with.\n",
    "\n",
    "Good strategies generally start with an initial leverage of 1. Upon finding out the viability of the strategy by examining the Sharpe ratio and other metrics, leverage can be increased or decreased accordingly. A lower Sharpe ratio indicates that the strategy has a higher volatility per unit return, making it more risky to lever up. On the other hand, a higher Sharpe ratio indicates lower volatility per unit return, allowing you to increase the leverage and correspondingly, returns.\n",
    "\n",
    "For more details, take a look at the [lecture on leverage](https://www.quantopian.com/lectures#Leverage)."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "### Positions Plots\n",
    "\n",
    "#### Top Long and Short Positions\n",
    "\n",
    "The tables below list the top 10 long and short positions of all time. The goal of each algorithm is to minimize the proportion of the portfolio invested in each security at any time point. This prevents the movement of any individual security from having a significant impact on the portfolio as a whole. The bigger the exposure a strategy has to any security, the greater the risk.\n",
    "\n",
    "Generally, the biggest failure point for many strategies is high portfolio concentration in a few securities. While this may produce significant positive returns over a given time period, the converse can easily occur. Huge swings in a small number of equities would result in significant drawdowns. Good strategies tend to be those in which no security comprises more than 10% of the portfolio."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "collapsed": false,
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>Top 10 long positions of all time</th>\n",
       "      <th>max</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>DNR-15789</th>\n",
       "      <td>0.60%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PPG-6116</th>\n",
       "      <td>0.60%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>WPX-42251</th>\n",
       "      <td>0.60%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ATI-24840</th>\n",
       "      <td>0.59%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>HP-3647</th>\n",
       "      <td>0.59%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CNX-24758</th>\n",
       "      <td>0.59%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>INTC-3951</th>\n",
       "      <td>0.59%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TRIP-42230</th>\n",
       "      <td>0.59%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AET-168</th>\n",
       "      <td>0.59%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CIM-35081</th>\n",
       "      <td>0.59%</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Top 10 long positions of all time   max\n",
       "DNR-15789                         0.60%\n",
       "PPG-6116                          0.60%\n",
       "WPX-42251                         0.60%\n",
       "ATI-24840                         0.59%\n",
       "HP-3647                           0.59%\n",
       "CNX-24758                         0.59%\n",
       "INTC-3951                         0.59%\n",
       "TRIP-42230                        0.59%\n",
       "AET-168                           0.59%\n",
       "CIM-35081                         0.59%"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>Top 10 short positions of all time</th>\n",
       "      <th>max</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>THC-5343</th>\n",
       "      <td>-0.45%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SHLD-26169</th>\n",
       "      <td>-0.45%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BBY-754</th>\n",
       "      <td>-0.45%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SPLS-7061</th>\n",
       "      <td>-0.44%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>WTW-23269</th>\n",
       "      <td>-0.44%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GME-23438</th>\n",
       "      <td>-0.44%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CPB-1795</th>\n",
       "      <td>-0.44%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PFE-5923</th>\n",
       "      <td>-0.44%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>T-6653</th>\n",
       "      <td>-0.44%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MAT-4668</th>\n",
       "      <td>-0.44%</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Top 10 short positions of all time    max\n",
       "THC-5343                           -0.45%\n",
       "SHLD-26169                         -0.45%\n",
       "BBY-754                            -0.45%\n",
       "SPLS-7061                          -0.44%\n",
       "WTW-23269                          -0.44%\n",
       "GME-23438                          -0.44%\n",
       "CPB-1795                           -0.44%\n",
       "PFE-5923                           -0.44%\n",
       "T-6653                             -0.44%\n",
       "MAT-4668                           -0.44%"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>Top 10 positions of all time</th>\n",
       "      <th>max</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>DNR-15789</th>\n",
       "      <td>0.60%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PPG-6116</th>\n",
       "      <td>0.60%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>WPX-42251</th>\n",
       "      <td>0.60%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ATI-24840</th>\n",
       "      <td>0.59%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>HP-3647</th>\n",
       "      <td>0.59%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CNX-24758</th>\n",
       "      <td>0.59%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>INTC-3951</th>\n",
       "      <td>0.59%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TRIP-42230</th>\n",
       "      <td>0.59%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AET-168</th>\n",
       "      <td>0.59%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CIM-35081</th>\n",
       "      <td>0.59%</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Top 10 positions of all time   max\n",
       "DNR-15789                    0.60%\n",
       "PPG-6116                     0.60%\n",
       "WPX-42251                    0.60%\n",
       "ATI-24840                    0.59%\n",
       "HP-3647                      0.59%\n",
       "CNX-24758                    0.59%\n",
       "INTC-3951                    0.59%\n",
       "TRIP-42230                   0.59%\n",
       "AET-168                      0.59%\n",
       "CIM-35081                    0.59%"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>All positions ever held</th>\n",
       "      <th>max</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>DNR-15789</th>\n",
       "      <td>0.60%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PPG-6116</th>\n",
       "      <td>0.60%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>WPX-42251</th>\n",
       "      <td>0.60%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ATI-24840</th>\n",
       "      <td>0.59%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>HP-3647</th>\n",
       "      <td>0.59%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CNX-24758</th>\n",
       "      <td>0.59%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>INTC-3951</th>\n",
       "      <td>0.59%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TRIP-42230</th>\n",
       "      <td>0.59%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AET-168</th>\n",
       "      <td>0.59%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CIM-35081</th>\n",
       "      <td>0.59%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>IPG-3990</th>\n",
       "      <td>0.59%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BIG-22657</th>\n",
       "      <td>0.59%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>HRL-3668</th>\n",
       "      <td>0.58%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MMC-4914</th>\n",
       "      <td>0.58%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MWV-23380</th>\n",
       "      <td>0.58%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GMCR-9736</th>\n",
       "      <td>0.58%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>LRCX-4537</th>\n",
       "      <td>0.58%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AVB-18834</th>\n",
       "      <td>0.58%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ADT-43399</th>\n",
       "      <td>0.58%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DUK-2351</th>\n",
       "      <td>0.58%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MSFT-5061</th>\n",
       "      <td>0.58%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CTSH-18870</th>\n",
       "      <td>0.58%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>HRB-3660</th>\n",
       "      <td>0.58%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NTAP-13905</th>\n",
       "      <td>0.58%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NRG-26143</th>\n",
       "      <td>0.58%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>APOL-24829</th>\n",
       "      <td>0.58%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BCR-779</th>\n",
       "      <td>0.58%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>LH-12909</th>\n",
       "      <td>0.58%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>WIN-27019</th>\n",
       "      <td>0.58%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>FLIR-9156</th>\n",
       "      <td>0.58%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MPC-41636</th>\n",
       "      <td>0.39%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PCAR-5787</th>\n",
       "      <td>0.39%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>COG-1746</th>\n",
       "      <td>0.39%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DHI-2298</th>\n",
       "      <td>0.38%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>WY-8326</th>\n",
       "      <td>0.38%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>VRSN-18221</th>\n",
       "      <td>0.38%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SNA-6976</th>\n",
       "      <td>0.38%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>VLO-7990</th>\n",
       "      <td>0.38%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CAMP-1244</th>\n",
       "      <td>0.38%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RSH-21550</th>\n",
       "      <td>0.38%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SIRI-11901</th>\n",
       "      <td>0.37%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DO-13635</th>\n",
       "      <td>0.37%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>D-2071</th>\n",
       "      <td>0.37%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ESRX-2618</th>\n",
       "      <td>0.36%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>LM-4488</th>\n",
       "      <td>0.36%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>HSY-3695</th>\n",
       "      <td>0.36%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MUR-5126</th>\n",
       "      <td>0.36%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NOC-5387</th>\n",
       "      <td>0.36%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>QCOR-20914</th>\n",
       "      <td>0.36%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NLY-17702</th>\n",
       "      <td>0.35%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PCLN-19917</th>\n",
       "      <td>0.35%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ACI-88</th>\n",
       "      <td>0.35%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>UTX-7883</th>\n",
       "      <td>0.35%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BHI-858</th>\n",
       "      <td>0.35%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ECYT-40814</th>\n",
       "      <td>0.34%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>FRX-3014</th>\n",
       "      <td>0.34%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TJX-7457</th>\n",
       "      <td>0.34%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>JOSB-11321</th>\n",
       "      <td>0.34%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SWY-7254</th>\n",
       "      <td>0.32%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>LSI-4553</th>\n",
       "      <td>0.32%</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>517 rows × 1 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "All positions ever held   max\n",
       "DNR-15789               0.60%\n",
       "PPG-6116                0.60%\n",
       "WPX-42251               0.60%\n",
       "ATI-24840               0.59%\n",
       "HP-3647                 0.59%\n",
       "CNX-24758               0.59%\n",
       "INTC-3951               0.59%\n",
       "TRIP-42230              0.59%\n",
       "AET-168                 0.59%\n",
       "CIM-35081               0.59%\n",
       "IPG-3990                0.59%\n",
       "BIG-22657               0.59%\n",
       "HRL-3668                0.58%\n",
       "MMC-4914                0.58%\n",
       "MWV-23380               0.58%\n",
       "GMCR-9736               0.58%\n",
       "LRCX-4537               0.58%\n",
       "AVB-18834               0.58%\n",
       "ADT-43399               0.58%\n",
       "DUK-2351                0.58%\n",
       "MSFT-5061               0.58%\n",
       "CTSH-18870              0.58%\n",
       "HRB-3660                0.58%\n",
       "NTAP-13905              0.58%\n",
       "NRG-26143               0.58%\n",
       "APOL-24829              0.58%\n",
       "BCR-779                 0.58%\n",
       "LH-12909                0.58%\n",
       "WIN-27019               0.58%\n",
       "FLIR-9156               0.58%\n",
       "...                       ...\n",
       "MPC-41636               0.39%\n",
       "PCAR-5787               0.39%\n",
       "COG-1746                0.39%\n",
       "DHI-2298                0.38%\n",
       "WY-8326                 0.38%\n",
       "VRSN-18221              0.38%\n",
       "SNA-6976                0.38%\n",
       "VLO-7990                0.38%\n",
       "CAMP-1244               0.38%\n",
       "RSH-21550               0.38%\n",
       "SIRI-11901              0.37%\n",
       "DO-13635                0.37%\n",
       "D-2071                  0.37%\n",
       "ESRX-2618               0.36%\n",
       "LM-4488                 0.36%\n",
       "HSY-3695                0.36%\n",
       "MUR-5126                0.36%\n",
       "NOC-5387                0.36%\n",
       "QCOR-20914              0.36%\n",
       "NLY-17702               0.35%\n",
       "PCLN-19917              0.35%\n",
       "ACI-88                  0.35%\n",
       "UTX-7883                0.35%\n",
       "BHI-858                 0.35%\n",
       "ECYT-40814              0.34%\n",
       "FRX-3014                0.34%\n",
       "TJX-7457                0.34%\n",
       "JOSB-11321              0.34%\n",
       "SWY-7254                0.32%\n",
       "LSI-4553                0.32%\n",
       "\n",
       "[517 rows x 1 columns]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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WUzy1AJWI895v96B0KKmupLKikGgSujonxnNQkkAJIYQQYtxIJNPUnXXhSlg4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lChbzTLheEpBpN58sWZqVGRoM3atghrWyO0N4fpXXvzKbKyeDzPYzCZYzpfpmdNjIzvImbNpGMF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\nIYQQoo2kAyWEEEIIIYQQbfR/3faXsQiy0j4AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7ffa02337f90>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "pos_percent = pf.pos.get_percent_alloc(bt_positions)\n",
    "pf.plotting.show_and_plot_top_positions(bt_returns, pos_percent);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "#### Holdings Per Day\n",
    "\n",
    "The holdings per day allows us to gain an insight into whether the total portfolio holdings fluctuate from day to day. This plot provides a good sanity check as to whether the algorithm is performing as it should, or if there were any bugs which should be fixed. For instance, we can use to holdings plot to check if the trading behavior is expected, i.e. if there are extended periods in which the number of holdings is exceptionally low or if that the algorithm is not trading."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "collapsed": false,
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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JiVGdOnVs/dy4cUOjR4/W/v371ahRI40fP14ZGRkaMWKEcnNz5ejoqIkTJ+ab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\nRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7ffa15187550>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "pf.plot_holdings(bt_returns, bt_positions);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Transaction Plots\n",
    "\n",
    "#### Daily Turnover\n",
    "\n",
    "This plot reflects how many shares are traded as a fraction of total shares. The higher the daily turnover, the higher the transaction costs associated with the algorithm. However, this also means that the returns and risk metrics are better able to capture the underlying performance of the algorithm as the higher quantity of trades provides more samples (of returns, risk, etc.) to draw from. This would in turn give a better estimation on *Out of Sample* periods as well."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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5eXlJKulZmTt3rtauXauQkBA9+uijkkq+qHt4OE6n9/b2VvPmza94vbLKlisu\nLpYkJSUl6YMPPtDnn38uX19fjRw5ssLy99xzj9avX6+kpCTNmjWrwv3K9hJZrVaH50rPTZLD0D6b\nzSaTyWSvl1QyT8lkMikqKkozZsxQ+/btdccdd9hfZ8mSJWratGmFr18Rs9l8xTY/P79y264686ka\nGkIRAAAA7GLuurnaw95qs/8vrVu3ThMnTtTzzz9v3xYdHa3Tp0+ra9eu+tOf/qTMzEzNnTtXkhQR\nEaHt27erX79+2rBhg0JCQtSmTRt770ROTo48PT0VEhKic+fOaf/+/bJYLGrbtq327dunwYMHa/v2\n7ZJKepRMJpN9mFlcXJx69erlMMTtpptu0r59+xQZGamdO3dKki5duqTrrrtOvr6+OnDggJKSkmSx\nWMo9v/79+2vp0qUKCQlRy5YtHZ7z8PCwB6CAgAClpKRIknbt2lXt9uvYsaNiY2NVXFys4uJi7d27\nV4899phCQ0NlMpm0bt06jRs3TpJ066236quvvtL48eO1Y8cOpaWlafjw4bXu2enQocMV78Vtt93m\nENKuFaw+BwAAAJdZv3697rvvPodto0aN0oYNGyRJ3bp1U1ZWlsLCwiRJs2fP1ttvv62YmBitXr1a\nkZGRki73TjRp0kS33367Ro8erddff10PPfSQFi1apHvvvVe7du3S5MmTlZaWZu/5mD9/vmbNmqVJ\nkybpxx9/1I033uhQl5iYGH366ad66KGH7EPkIiMj5efnp/Hjx2vdunUaO3asPbT9kqenpzp16qRB\ngwZd8VyzZs1ktVo1Y8YM9enTRydOnNDkyZN14sQJe/2q6nVp1aqVRo8erYkTJ2rSpEkaM2aMWrRo\nIalkKOKuXbvsQ+6mT5+ur7/+WpMmTdKyZcvUtWvXK45Ruqx4dVT0XnTs2FFjxoyp1ms0FCbbtTjo\n7xcSEhLUo0cPV1fDZYx+/mUZrS2Mdr4VoR1og1K0A21Qina4rLK2yM/PlyT5+vrWZ5VcIikpSSdO\nnFDfvn21e/duvfHGG3rvvfecftz8/HxNnDhRK1asUEBAgNOPd7USExO1b98+jRo1ytVVqbWKPteV\n/V9g+BwAAADcXmBgoN5//33FxsZKkl588UWnH3P37t166aWX9Mgjj1wTgUiS8vLy1K9fP1dXo94R\nigAAAOD2AgMD66VnqKyuXbtq7dq19XrMq9W5c2dXV8ElmFMEAAAAwNAIRQAAAAAMjeFzAAAABlZQ\nUODqKgDxzcvVAAAgAElEQVR1qqCgQD4+PjUqQ08RAACAQfn4+NT4y+O15sCBA66uQoNhlLaozeea\nniIAAACDMplMhliO2wjnWF20RfnoKQIAAABgaIQiAAAAAIZGKAIAAABgaIQiAAAAAIZGKAIAAABg\naIQiAAAAAIZGKAIAAABgaIQiAAAAAIZGKAIAAABgaIQiAAAAAIZGKAIAAABgaIQiAAAAAIZGKAIA\nAABgaIQiAAAAAIZGKAIAAABgaIQiAAAAAIZGKAIAAABgaIQiAAAAAIZGKAIAAABgaIQiAAAAAIZG\nKAIAAABgaJ7OPsDChQu1Z88emUwmzZ49W126dLE/99FHH2nt2rUym83q3LmzZs2aVWUZAAAAAKhL\nTg1FP/zwg06dOqX4+HglJibqhRdeUHx8vCQpOztb7733nrZs2SKTyaRp06Zp7969KigoqLAMAAAA\nANQ1pw6f27Fjh6KioiRJ4eHhyszMVE5OjiTJ29tbPj4+ys7OltVqVX5+vho3blxpGQAAAACoa04N\nRampqQoJCbE/Dg4OVmpqqqSSUPTb3/5WUVFRGjhwoLp3767rr7++0jIAAAAAUNecPqeoLJvNZv85\nOztby5Yt0+bNm+Xv76+pU6fq8OHDlZapTEJCQp3V81pk9PMvy2htYbTzrQjtQBuUoh1og1K0w2VG\nbwujn39ZtEX5nBqKQkNDHXp5UlJS1KxZM0nS8ePH1aZNGzVu3FiS1L17dx04cKDSMpXp0aNHHdf+\n2pGQkGDo8y/LaG1htPOtCO1AG5SiHWiDUrTDZUZvC6Off1lGb4vKAqFTh8/17dtXmzZtkiQdOHBA\nzZs3l7+/vySpVatWOn78uCwWiyRp//79atu2baVlAAAAAKCuObWnqFu3burUqZPGjRsns9msOXPm\naPXq1QoMDFRUVJSmTZummJgYeXp6qlu3burZs6ckXVEGAAAAAJzF6XOKnnnmGYfHERER9p/HjBmj\nMWPGVFkGAAAAAJzFqcPnAAAAAKChIxQBAAAAMDRCEQAAAABDIxQBAAAAMDRCEQAAAABDIxQBAAAA\nMDRCEQAAAABDIxQBAAAAMDRCEQAAAABDIxQBAAAAMDRCEQAAAABDIxQBAAAAMDRCEQAAAABDIxQB\nAAAAMDRCEQAAAABDIxQBAAAAMDRCEQAAAABDIxQBAAAAMDRCEQAAAABDIxQBAAAAMDRCEQAAAABD\nIxQBAAAAMDRCEQAAAABDIxQBAAAAMDRCEQAAAABDIxQBAAAAMDRCEQAAAABDIxQBAAAAMDRCEQAA\nAABDIxQBAAAAMDRCEQAAAABDIxQBAAAAMDRCEQAAAABDIxQBAAAAMDRCEQAAAABDIxQBAAAAMDRC\nEQAAAABDIxQBAAAAMDRCEQAAAABDIxQBAAAAMDRCEQAAAABDIxQBAAAAMDRCEQAAAABDIxQBAAAA\nMDRCEQAAAABDIxQBAAAAMDRCEQAAAABDIxQBAAAAMDRCEQAAAABDIxQBAAAAMDRCEQAAAABDIxQB\nAAAAMDRCEQAAAABDIxQBAAAAMDRCEQAAAABDIxQBAAAAMDRCEQAAAABDIxQBAAAAMDRCEQAAAABD\nIxQBAAAAMDRCEQAAAABDIxQBAAAAMDRCEQAAAABDIxQBAAAAMDRCEQAAAABDIxQBAAAAMDRCEQAA\nAABDIxQBAAAAMDRCEQAAAABDIxQBAAAAMDRCEQAAAABD83T2ARYuXKg9e/bIZDJp9uzZ6tKli/25\n5ORkPfPMM7JarYqMjNQf//jHKssAAAAAQF1yak/RDz/8oFOnTik+Pl7z58/XggULHJ5ftGiRpk2b\npo8//lhms1nJyclVlgEAAACAuuTUULRjxw5FRUVJksLDw5WZmamcnBxJks1mU0JCgu6++25J0ksv\nvaSwsLBKywAAAABAXXNqKEpNTVVISIj9cXBwsFJTUyVJaWlp8vf314IFCzRhwgQtXry4yjIAAAAA\nUNecPqeoLJvN5vBzSkqKpkyZopYtW+qRRx7Rtm3bKi0DAAAAAHXNqaEoNDTUoZcnJSVFzZo1k1TS\nA9SqVSu1bt1aknTbbbfp2LFjlZapTEJCQh3X/tpi9PMvy2htYbTzrQjtQBuUoh1og1K0w2VGbwuj\nn39ZtEX5nBqK+vbtq9jYWI0ZM0YHDhxQ8+bN5e/vL0kym81q3bq1fv75Z7Vt21YHDhzQiBEjFBwc\nXGGZyvTo0cOZp9KgJSQkGPr8yzJaWxjtfCtCO9AGpWgH2qAU7XCZ0dvC6OdfltHborJA6NRQ1K1b\nN3Xq1Enjxo2T2WzWnDlztHr1agUGBioqKkqzZ8/W73//e9lsNt188832RRd+WQYAAAAAnMXpc4qe\neeYZh8cRERH2n9u2batVq1ZVWQYAAAAAnMWpq88BAAAAQENHKAIAAABgaIQiAAAAAIZGKAIAAABg\naIQiAAAAAIZGKAIAAABgaIQiAAAAAIZGKAIAAABgaIQiAAAAAIZGKAIAAABgaIQiAAAAAIZGKAIA\nAABgaIQiAAAAAIZGKAIAAABgaIQiAAAAAIZGKAIAAABgaFWGIpvNVh/1AAAAAACXqDIUxcTE1Ec9\nAAAAAMAlPKvaITIyUkuWLFG3bt3k5eVl396nTx+nVgwAAAAA6kOVoejgwYOSpF27dtm3mUwmQhEA\nAAAAt1BlKPrwww8llcwtMplMTq8QAAAAANSnKucUHTp0SP/zP/+joUOHSpKWLl2qPXv2OL1iAAAA\nAFAfqgxFc+fO1Z///Gc1a9ZMkjRs2DAtXLjQ6RUDAAAAgPpQZSjy9PRUhw4d7I9vvPFGeXpWOeoO\nAAAAAK4J1QpFp0+fts8n2rZtG/cuAgAAAOA2quzyef755/X444/rxIkT6tGjh1q1aqW//OUv9VE3\nAAAAAHC6KkORl5eX1q5dq7S0NHl7eysgIKA+6gUAAAAA9aLK4XOPPfaY7r//fq1bt04Wi6U+6gQA\nAAAA9abKnqJNmzZp//79+vLLLzVu3DjdeOON+vWvf61hw4bVR/0AAAAAwKmq7CmSpM6dO+vZZ5/V\nRx99pJYtW+q5555zdr0AAAAAoF5U2VOUkpKizZs3a+PGjUpLS9OwYcO0fv36+qgbAAAAADhdlaHo\nvvvu07Bhw/T888+rS5cu9VEnAAAAAKg3VYaibdu2KSkpSf/973+VnJysTp06qWXLlvVRNwAAAABw\nuirnFH388ceaPHmy1q9fr7Vr1yomJkarV6+uj7oBAAAAgNNV2VO0Zs0affnll/Lx8ZEk5ebmaurU\nqbr33nudXjkAAAAAcLYqe4o8PT3tgUiS/P395eXl5dRKAQAAAEB9qbKnKCwsTPPmzdPtt98uSfr3\nv/+tFi1aOL1iAAAAAFAfqgxF8+bN04cffqjPPvtMJpNJt956q2JiYuqjbgAAAADgdFWGIj8/Pz38\n8MOy2Wyy2Wz1UScAAAAAqDdVhqJ3331Xb731lnJyciRJNptNJpNJBw8edHrlAAAAAMDZqgxFn376\nqb744gvuTQQAAADALVW5+tz1119PIAIAAADgtqrsKYqIiNDMmTPVq1cvmc1m+/b777/fqRUDAAAA\ngPpQZShKSUmRt7e3du/e7bCdUAQAAADAHVQZiqKjo9W/f/96qAoAAAAA1L8q5xStWLFCVqu1PuoC\nAAAAAPWuyp6iwMBADR8+XJGRkfLy8rJv/8tf/uLUigEAAABAfagyFA0YMEADBgyoj7oAAAAAQL2r\nMhT17NmzPuoBAAAAAC5RZSh64IEHZDKZZLPZVFhYqEuXLqldu3Zas2ZNfdQPAAAAAJyqylC0detW\nh8dHjx7VJ5984rQKAQAAAEB9qnL1uV9q3769Dhw44Iy6AAAAAEC9q7KnaMmSJQ6Pk5OTlZmZ6bQK\nAQAAAEB9qrCn6IsvvpAkmc1mh38RERF655136q2CAAAAAOBMFfYUffLJJ7rnnns0ffr0+qwPAAAA\nANSrGs8pAgAAAAB3UmFP0U8//aT+/ftfsd1ms8lkMumbb75xYrUAAAAAoH5UGIoiIyP117/+tT7r\nAgAAAAD1rsJQ5O3trVatWtVnXQAAAACg3lU4p+iWW26pz3oAAAAAgEtUGIqeffbZ+qwHAAAAALgE\nq88BAAAAMDRCEQAAAABDIxQBAAAAMDRCEQAAAABDIxQBAAAAMDRCEQAAAABDIxQBAAAAMDRCEQAA\nAABDIxQBAAAAMDRCEQAAAABDIxQBAAAAMDSnh6KFCxdq3LhxGj9+vPbt21fuPq+99ppiYmJqVAYA\nAAAA6oJTQ9EPP/ygU6dOKT4+XvPnz9eCBQuu2CcxMVG7du2SyWSqdhkAAAAAqCtODUU7duxQVFSU\nJCk8PFyZmZnKyclx2Ofll1/WzJkza1QGAAAAAOqKU0NRamqqQkJC7I+Dg4OVmppqf7x69Wr16dNH\nLVq0qHYZAAAAAKhL9brQgs1ms/+ckZGhzz//XA888IDD9srKAAAAAEBdM9mcmDpiY2MVGhqqMWPG\nSJKioqL0xRdfyN/fX5s2bVJsbKwaNWqkgoICnT59Wvfff78CAgLUrFkzjR079ooyFUlISHDWKQAA\nAABwEz169Ch3u6czD9q3b1/FxsZqzJgxOnDggJo3b24PN9HR0YqOjpYknT17VrNmzdLvf/97/fTT\nT4qNjdXYsWOvKFOZik7QCBISEgx9/mUZrS2Mdr4VoR1og1K0A21Qina4zOhtYfTzL8vobVFZR4pT\nQ1G3bt3UqVMnjRs3TmazWXPmzNHq1asVGBhoX0yhOmUAAAAAwFmcGook6ZlnnnF4HBERccU+rVq1\n0sqVKyssAwAAAADOUq8LLQAAAABAQ0MoAgAAAGBohCIAAAAAhkYoAgAAAGBohCIAAAAAhkYoAgAA\nAGBohCIAAAAAhkYoAgAAAGBohCIAAAAAhkYoAgAAAGBohCIAAAAAhkYoAgAAAGBohCIAAAAAhkYo\nAgAAAGBohCIAAAAAhkYoAgAAAGBohCIAAAAAhkYoAgAAAGBohCIAAAAAhkYoAgAAAGBohCIAAAAA\nhkYoAgAAAGBohCIAAAAAhkYoAgAAAGBohCIAAAAAhkYoAgAAAGBohCIAAAAAhkYoAgAAAGBohCIA\nAAAAhuY2ochms7m6CgAAAACuQW4TiooJRQAAAABqwW1CUVExoQgAAABAzblNKComFAEAAACoBbcJ\nRUUMnwMAAABQC24TioqLXV0DAAAAANci9wlF9BQBAAAAqAW3CUVFdBUBAAAAqAW3CUVkIgAAAAC1\n4T6hiOFzAAAAAGrBbUIR9ykCAAAAUBtuE4q4TxEAAACA2nCbUMR9igAAAADUhtuEInqKAAAAANSG\n24Qi5hQBAAAAqA23CUWsPgcAAACgNtwmFNFTBAAAAKA23CYU0VMEAAAAoDbcJxTRUwQAAACgFtwn\nFNFTBAAAAKAW3CYUMacIAAAAQG24TShi+BwAAACA2nCfUMTwOQAAAAC14DahiOFzAIzi4JlLrq4C\nAABuxW1CEcPnABjFln1nXV0FAADcituEoiKGzwEwiLSsfFdXAQAAt+I+oYieIjQweRarvtpzxtXV\ngBtKyy5wdRUAAHArbhOKGD6Hhib5Uq6S0nJcXQ24GZvNprQcQhEAAHXJfUIRw+fQwCSn56nAWuTq\nasDNWKzFys4rdHU1AABwK24Tihg+h4YmOT1XfCxR1/IsVnmaPWTjQhAAAHXGbUIRPUVoaLLyCuXv\n7enqasDN5FmKFOTnpcKiYldXBQAAt+E+oYhL8gAMILfAqpBAX+UWWF1dFQAA3Ib7hCJ6igAYQJ7F\nqpAAH+VbmK8GAEBdcZtQxJwiNCTM94CzlIaiPAs9RQAA1BW3CUUMn0NDkplXqCB/L1dXA24oz1Kk\nkABf5RXSUwQAQF1xm1BUxJV5NCDJ6bkKa+Ivk8nVNYG7sfcUMacIAIA64zahiJ4iNCTJl0pCEVkd\nda1koQWGzwEAUJfcJhQxpwgNyfmMPDVv4ufqasANlfQU+SqPhRYAAKgzbhOKyERoSPItRfLjHkVw\ngqJim4L8vJRfSE8RAAB1xW1CEat9ATACm03y9fZUbgE9RQAA1BW3CUUAYBQ+nh6yWAlFAADUFUIR\nUMeKbTZWnYPTmEySiQ8YAAB1ilAE1LGLWfm6LtBXkmT2MKmouNjFNYI7YsQwAAB1x+mhaOHChRo3\nbpzGjx+vffv2OTz33XffaezYsZowYYJeeOGFapUBGrrk9Msrz3l7eaigkFDkToptNn17KNllxycM\nAQBQ95wain744QedOnVK8fHxmj9/vhYsWODw/B/+8Ae9/vrrWrVqlbKzs7V9+/YqywANXek9iiTJ\n29PM3A83cym7QD+eSHV1NRiiCQBAHXJqKNqxY4eioqIkSeHh4crMzFROTo79+U8//VTNmzeXJIWE\nhCg9Pb3KMkBDdyEzT6GNS3qKSibE01PkTi5k5ik7v9BlxycMAQBQ95wailJTUxUSEmJ/HBwcrNTU\ny1dYAwICJEkpKSn69ttvddddd1VZBmjorEU2eZlL/mvRU+R+LmTkq7ABBF2G0QEAUHfq9e6S5d1L\n6OLFi3rsscf0xz/+UY0bN65WmfIkJSUpISHrqut4rUpISHB1FRoMV7fFuXNZ9s/i6eR85aaadT7I\ny2nHc/X5NhT11Q4/nshRUX6Ry9o9Kank81X2c1aKz0IJ2oE2KEU7XGb0tjD6+ZdFW5TPqaEoNDTU\noZcnJSVFzZo1sz/Ozs7Wb37zG82cOVN9+vSpVpmKtGzZUj163FyHtb92JCQkqEePHq6uRoPQENri\nQNYR+2ex+FiKAny91LF1sFOO1RDOtyGoz3Y4kHVEwZJLft9YrEU6kndCPXq003+zjzjUgc9CCdqB\nNihFO1xm9LYw+vmXZfS2qCwQOnX4XN++fbVp0yZJ0oEDB9S8eXP5+/vbn1+0aJGmTp2qvn37VrsM\n0JAVFhXL03x50ocXc4rckqvm9eRZiuTvbZbE8Dm4j4TEC9UeFQIAzuLUnqJu3bqpU6dOGjdunMxm\ns+bMmaPVq1crMDBQd9xxh7744gv9/PPP+vjjj2UymTRy5EiNHj1akZGRDmWAa0VKRp6aBfnZH/t4\nml06KR/OU2yzyaOe01FegVV+PiW/tk2mkuHF3MgV17odR86rQ+smauTjvGHGAFAVp88peuaZZxwe\nR0RE2H/eu3dvuWVmzpzp1DoBzpKcnquw4Ms9m970FLklfx9P5RVY1ci39l/iEo5fUI+bqh4aXFae\nxSo/r5Jf2z5eZhVYi+XrZa51HYCGICuvUJm5hbUKRT+dSNWtN1xX7xcoALgfp9+8FTCS8+l5Cmty\nuafI29OsgkJWn3MX1qJimT1MCvTzUtZV9gB++t2JGpfJtVzuKfLzNivfYr2qOgANQVZ+oTJyC2pV\nduNPp5VXwP8DAFePUATUoYtZ+bou0Nf+2NvTQ4VF9BS5i5L310cBvl7Kyqt9KMotsOp4cmaNy+VZ\niuT3/3OKfL08lcuXQbgBs0lKz7HUquypC1lXfYECACRCEVApi7VI+05drPb+NpschnH4eNFT5E4u\nZOarWZCfAv28r2quWMncM98ah5o8i1X+3pd7ivIsfLZw7Qvy91ZmXs1DUcnCNh7KruEFioTECzU+\nFtDQnU/P1bFzGa6uxjWNUAS3l1tg1c6j52tVNiPXoj2n0mp9bG9Pswq4eavbuJBZEmYCr7Kn6HxG\nrm654TqdT8+tUbk8i1V+paHIx1P5hTXvKTqbllPjMoAzNfb3VkYteopOp2arQ6smNb5A8fd/H1Mx\nq93Bzez7OU27T1b/Ii6uRCiC20vPKdCRpNpdPcnOK7yqeRvenh4qZKEFt3EhM1/NGvuVzCmqxZXt\nUikZebrl+hAlp+fVqFzZ1ef8vGs+fC6noFCvrNldozKAMxUV2+Tv41WrXs+TKVnq0jakRqGo2GZT\n0qUcpefUbg4T0FCdu5TLardXiVAEt5dTYK31Vf3s/ELlVTMU5Vms8vV2XAnM0+whaxFXJN1FvqVI\nft6eCvD1uqo/Puk5FkW0bKLzGTXrKcotM6fIz8us/Bp+kfzXf88ptLEf94RBg5FTUKgA39othJuU\nlqOIljXrKTqXlqvI1sFKzcyv1TGBhqrYZnPZPfTcBaEIbi87v7DWX2Cz8gurfQXzfHqemjf2q3pH\nXPNK5orVvgfQZisZMpSZW7PPZaG1WF7mkl/bft6eyqvh8LkzF3PUuW1IrSe1A3UtO69QAbVc2r7I\nZlOQv3eNFlo4npKpXu1DdYFQBDdkEqnoahCK4Pay8wuVX8vFDmoSpn55j6JSXLlBeWpz01WT6XI5\nPx/PGg05Sr5U8vlsEeyvpEvMK0LDkJVfqEC/2t/vq2Rp+ur/Pzidmq0eNzXThcyaDV0FGrKsvJL7\nfPn5mJVTwBC62iIUwe3l5BeqkU/thmdk51X/D3Zyeq7CmlwZigBn8PM21+j+LNv+e079IluoZXAj\nnbtUs2F7gLNk5RUq0M+7xuWy80u+BJpMJtVkNGhhUbFCAnxq3EsLNGSnLmTphtBAtbkuQGcuctGr\ntghFcHvZ+dZaD8/ILbi8BHJVMnMLFXQVVzwbmpqujObuLNYieXle/a9Mi7VInubLvUS1nd/jZfaQ\npZqLeNhsNmXnFyrIz1uhTfyUksFVcjQMWXkWBdbi9/PJlJIvgVLNe+Nr00sLNGQnUrJ0Y2igWl/X\nSGdSs11dnWsWoQhur7wFEKrLppr9AS1v32t1Tvs/vk10dRUalAuZ+Wpa5sa8V/M6zYJK5p4F+HnV\n+saTJpOp2l8G95y6qFuuD5FUEqZY/AMNRdb/98Z7mk2y1OD2BaVfAmsiJ79Q/rUcNQA0ZGnZ+QoJ\n8FFYE3+dq+GqpriMUARD8DCZWHGrhs7SBe/gQmaemjW+HIpqe7E5JSNPzZuUhKKwJn46fxV/wKr7\nkU5ITFX3m5rV+jiAs2Tnlyy0UNOFR1Iz8xQS4COp+v8PSoJUUG2qCTRstpILZZ5mDxUVXzmC4GIW\nC4tUB6EI17yt+85WuY+ft6dyr+J+Q1Vxx8DFuGRHFzIu9/BIte8BTMnIU+j/r1LYvLG/kp08TDE9\np0CBfl4yezBkCA1PUbFNnmaPkhu45lZvVcTz6bny9/Gs8TC4EymZuql5Se+Sh6nk2MC1rjrfP97a\n/F/FbT8qaxH3TawMoQjXvK/3nqnyKkjJzTadN7E2qwYLMlwLLNYiZecXlnvFyahSs/LVLOhyT5Gn\n2VSrPzCpZYbhhQX7OT0Ubd2fpLs7t3LY5udtrvGNXwFnatzIp9qhaM33JzWq1432x9XNRmnZBQpu\nVNK71CTAhxu4wi2kZuWraZm/TR4mk4p/EZTaNg3QgM4t9dbm/yojv3ar8RoBoQjXFGtRsRKOX3DY\n5u/jpT0nL1Za7mpCkYeHqcpwUNnKc9finN6cfKtaBPtzP5syCq3F8va8PDettjdwLb0yLkmNfLyU\nV1D9P1C/vCBY1WfLZrMp7Rd/MCUpLNifFejQoDT281JGbtUhZcfh8+p2Y1P5eF3+v2izVb+3vrR3\nqVmQL/cqglsou+iIJDUN8i335sStQhrpN1Ed9d3JXP10IrU+q3jNcJtQ5Iajl1CO7f89px2Hzzts\na9O0kX6uYrWVQN/ahyL/atwHIzk9T2FN3OfGrdn5hWp9XQBXUisR6OelTCf2Pv7SvlMXdWNzx4nl\nVf3e2/dzmrr8/wILZbUM9tc57lWEBqRxIx9lVtFTlG+xau/PF9WrfajD9pKbKVf+O7rYZnO4sWWz\nID/uVQS3cDgpQ+3CGtsft74uQKcvlv+dyMfLrOgOgUrNzNcnO45f0aNkdG4TiuD+bDabjiZnKOgX\n97Sozh2cA/28a3VVX5J8vau+SWZFN269VuUUWNX6uka6RE9RhWrbU1Rb3x4+r74dwhy22VT5H7Qf\njl1Qz/DQK7a3CG6kJHqK0IAEVOPC1Wc7T+jeMsPmSgX6eSk7v/LhoOfSctWizO/opvQUwU1YrEUO\nPaetQxo5LJRkLSqWxy+GFQy6tbW63dhUb2/+L0Opy3CbUHQtDlFCzew5eVHdbmjq8F6XDploFuRb\n6b1XSobP1ewLfkFhkbw9PUpuklnFIg35liL5VXA/o2vxQkxOfqFahTSip6gSgX7eNf5MZecXXrE8\nfHV+dx04naYOrZpc8YfN18us/Ao+m5m5FgX4epa7wIK/j2eVn2mgPpk9TKps3YNTF7LUyMfTvkhJ\nWdW5QHE8JVM3Nb+88lygr5ey67GnF3CG9JwCNfZ3vFDcuJG3wyiGXIu13KXow8OCNOb2cK1POOX0\nel4r3CYUwf39kHhBPds1cwgZ+YVF8vM2q+sNTcudV1RUXHKFpDpXIX+pdKlYP29P5VcxNONaUd1l\nti/3FBGKpPLvdVWbL1X/OZSsPjc3d9jmYap6ztq/DyXrjo4trtjepmlAhUNH/3f/WQ34xQILQENS\n3XlANtv/sffewXHeZ57n5+0c0d1o5EiQIMEIJuVISZRk2ZY94zBje2TL46CZuZ2r3b27qru6qq2r\n272rjVe1dbd3u+Xx2DOWPLZsj2c8tmxZEkmRIqlAgjkARCBy6Eajcw7v/fF2zg0CDGB/qroINt5u\nvN399vv+vk/4PiJvDU3zmYO9RX9v0FSe9zWz7KO7SZ/+f32Aa52NwPmbyxzoa8q5L38ESSAUQ68p\nHrS1GjUEI3H84XqAAOqiCIAb8y5uzLvu9G7UKcOcw09no74gUu4LRdFrlHQ06phbKVzw+0MxDBoF\naqWcSKw2p7CUKNLcolOXINw9lt2/+GiiKrczXyhKU4OmYi/V/YLdHcxxnoNk9rHG8rk5h5/uJkPO\nfQ0V5rMMz7nY2mYqmvHpbTYyZS8URaIoYveEikbV69S5WwhH42iUlQdrH708x9O72tMGJfkYNIqK\nAYpoPNcopU6djcDNPJOFYvjDMXQlKlkAPrW/m9+dm1nrXbsnqYsiYMkdLLqgrrO2zK/4uTC5OseT\nU/qndWUAACAASURBVCOLPLFD6qfI1kW+YBSjRpmO+uWLj5RoWg2+UBSDVsoUlSs1Sohi2RIouUy4\na+ZhROMJLk2Vd+oD8IclQXiXaLk7jt2TO6MIQK+p3MeQjcsfxqgrPBbNelXZjNyJa/M8vauj6O/a\nzMXnHF2dcbK7p9BgIZtqevHq1FlPPFWMMvAEI0wt+9jVXfp4Xm1/Xz1ZVOdeJrXeqZT1DITLr4Na\nTFp8oWi9pJq6KAIgEI6x4quXCa03vzs/w5Vp56oe6wtG0wYLcplAJCZlMHzhWPrL3m7RsRLIzWz4\nwzEMqxRF3mCyfE5Z3n1uxRtOT1YvhkohJxy7OzIuLQ1a5lcqZ4pCkeoiuPcLdk9hpkguE0jUIHZP\nDS/y5PbCEjizXl3S+nx0wU1fS0PJwatSH0bhPnwyZuPB/uay+6OpoleuTp31RJrvpiq7zS8/usmX\nHtlcdhuDtrwo8oeiRXsqZIJAtD7Mss49yvSyj03N5bNEkMwUFTn+s3l+bxfHrsyv1a7ds9RFEdIB\nU5/Hsr7MOfw0NWhqWkSmmLZ7c0qOsp3kfFmRxr29ViZWcj/HW84UaZSS+1y09OKx3IwiALVSRiR6\nd1x4a4mMCoJQj6QmcXjDWI2ayhuWYckVLOpQaNGrShpaHLsyx7N7imeJ0uR9pTzBCDqVArms/Ond\nUkaM1alzO/CGIjlBK0EgR+S7AxH0agUNuvLCSa9W4i9T4nzT5qWvpaHg/v2bmzgzalvFntepc+c5\nN7HM/rx+omIEwjH0FURRZ6N+3QeJ3wvURRHSAaMoEYmtU5yEKDK+6Kl6+99fmOFT+7pX9bc+vLHE\nYwOZ5nSjNtPg7gtF01/2NosOZ16myBeKYqhwMiiFLySV5mkrWHJXEkUqhTyd2bobaDVrqz751cvn\nJLIHrmZTyRI7hcMbwlIim2jWq3EVmc8yvuiht9lYUdxoVLkOdMeuzPPM7gpCCqlsr+4uWOdO4s0r\nnzPkmZeseENVjTqolLW9afOwubUwor6j08y12dVVL9Spc6dx+cMlryvZ+MMx9OrKweFybqb3C3VR\nhFSXuR5ONNU6fd2L3Fzy8psqbRxTWSJ1mXKsa7NOzk0ss+gM5DhxiaKIPxTLyfYYs5yGUn0/2WT3\nFflvKVMk/d38RWc+NneQZlPpLIJKISNco8nDepCyGB/stVbVVwSFkdv7lWrFTykk97i2or/TqxX4\ni5T+HL0yx3N7KrvHZTvQiaKI3R2ktYxIT2HWq+8Kd8HxRTdTdu+d3o06dwBfKFcU5Qt1VyCCuUKW\nqBpWfGEs+sLFoyAINBo1OLz1eUV17i0isTjKEsYj+QTCxctH8zmwuYlzN1fX971R2FCi6G5x+Erx\nn9+6xIcjS3d6N9aFS1MOqk2uvX1hhheTWSJ1iUjE6eFFlHKBi1MOfnJynB+9f4MfvX+Dv3rvOlva\ncssepJlD0iIyPwLSbFAwkyVGfaHV9xSJoohcJqCUy4jFSx9bsbhY1tVIrZATvQsyRS5/GLNeTYdF\nV1VfEeRm5eoUItlpVz7vOIoYNaQQBKEgIzdp89LZqC/ptpVNtgPdtVknO7oslXec1AL0zpfPTdq8\nHL+6cKd3o84dIL+nyKJX5wyMdvsjBTNYSlEprlkq8PnMrg6OXpmr6m/UqXO3cG3Gya4yZjpyWaZf\nLhJLoFJUvpZs6zAzMnd/OzGvrq7oLkQQpMFv8rukCi4QjvFgfwszDh+N82oGOsx3epfWFHcggklX\nOW076/DRYspkidotOhZdwQILSZVCzp5eK3t6rRWf06hVpReBiYSY04S+uVHFxUkHPckepGAkhjY5\nX0apkBGJxW+7LavyLskUuQIRzHpVchEuVpUhTWUTKtX0b2TKBVusRg0rvtKCBypnEovx3qVZvnFo\nW1Xbtpl1HL08h1kvcvzqAn/2ws6qHmfSVVc+J4oiV6ZXqvpurgZPMIorcOczVnVuP+FoHHXWYs2s\nVzOZlTV0BcKY9ZV7JqB0qW9CFMs6LVoMatz+yLpVjNSpsx5cmXHyR4+VNiAxaJT4Q1HMyQxpNcd2\nauRJQhQLxp/cL2yYTJHsFst8FPK1daGZdfjosur58qOb+eDawoZqYIsnMhbUld7z31+YTWeJQBJF\nC87c90KsYGmdT7lBfSatvKAUInUyyM4w3U6kGUl3T6YIpP6rJVew4mMq2UXfD3hDpR2yWk3aiu/j\nyesLPFHEdS6b7ON/etlHm0VXtXhPOdCdmQ7y4r6ukk51+agU8rIZ0BQXJx385ORYVc+5GvyhKF1W\nA866A+h9hyjmLtYsBnWOUPcFC8uja2XBGaC9Ql/SlraGovO+6tS5W4lWCPBmD6yvZWm8vdNyX2eL\nNowoqtUeNx+LQb2mF+VZh59uqwFBEHj1mQF+8eHEquYo3I1MLHnY3NpQ8T2bWZayRNlf3GJzVTzB\naE2ZCL1GQaDCe1ksum/UrL0oisUTFRehKsXd4T7n8mfq8wd7rVysoq/Iolfj8t35Eqs7id0dKrDj\nTtFq1rJUIeDh8keqaoZN8fGNJZ4pMZeoFKFIHH8kwZY2U02Pq4Yz43YObmnGXcQMYi0QgYf7Wzgz\nXncBu9+I5QUi8wNXCZFbjlinrlflaGrQ1sdy1LlncPnDmIr0yGVj1Crxh2tf7+zvs3Jxsrqe443I\nhhFFslsckGm5xabjSCzOYlYGZD4rOqWUy3j10AB/c2xkQ8xEuDzlYLDXSptZy5K7dJT8nYu5WSJI\n9qjkCZplT5DmGuyOZYJQtu29t9lQNOpn0JbOMBUj+1Jc6rpscwdpMZUunYK7Z05RdqZI6isqbgQi\nlZtIWPTq+760SZpRVPwzbjFpsXlKN2nPrfhpb6xsepBNIBKrbA7id8PNKzD0Llw9xTNGF880BSCy\ntp/V9LKPzkY9+zZZubROF0pRhE6rfkMb09QpZCaZEc1GVqS/rlpKnaNnln10N+nLPtakU+G+z89z\nde4dzk0sc6CCFbd+lUFgjUqxIdapq2XD9BTJheJDDKvFatSwXGZxU4nTI0vcmHfx2vNSPX88kchp\nkjZqlXzpkc387bERvv3c9nu6dtkTjGLSqWg1aRlf8rCzSGO3lCXSVlUCZPeEaCoRiS9FuY96sNfK\nyesLBX1LDVpVTZ9xNUfToitIm7mSKJIRvQt6iiKxRLq3S5pBJBStow9mDXoz3KGSw7sJuyfE1vbi\nGRiVQl72sz09vMiL+ytb0WuU8mT/W5FTsiiCywa26czN787ZZBswvzAP8x+DRgfGRjBYpFtD8mdj\nI2gNNQ2rOnZ5jq880Y9SIePk9UWe3Fm+DPBWkMtkxOKJqswl6tz7HLsyX7YnAmqbq5ZqLM935IrG\nExWvQ5IoymRC44kE12dd7C7TyF6nzp1iyu6tOHbBoFFWrGKoU8iGEUWyWy2f06sZXXBX3jDJpM1L\nc4MmHdEdX/RUPPG2WXQ8saOdX3w4wZcf27LqfQXg8gcwMwxKNZbZOQjNgFIFSnXhTaECVd59ckVt\nV5wk2f1ELWYdp0u4671zcZavP7216O/yBY3dE2Jbx9qV/UjN74VRP6NGyU1b9bOVqmHJHeDg5uay\n29wtmaJ82szaogNFswfe3krkdqNQ7SyIYniDURpK9CNlY04OUtUo5cjiMViayggg+wxE8sS8SgPN\n3dDUKf3O5yTmCYFCCaGAdLPPFv4hhTIpkCTBZJ33wZwgCSa9GeSZc5g7EEGtlKeF9HodBqnzyc5u\nC9dmnQyuk6FDnbsHfyiKXCagKRYEWCWpGUer+a7mu2yu+ML8l99d4f/97pNV9+jVqbMWTC/7mF/x\n88i21qK/T7UGVAqsGzQKfKFYcttb26e/+2CUWFxa+1mNGtotOtrNOppNmopz9O41NowoSjUb10qq\nJ8SsV1XdU+QPR/nVmUmsRg2vPLWVZU8Iq1FNNJ7AG5T84EvVQW/vNDO+6GZ62Zd2SFsVM8OwLNmI\namzzIK8x9S+TSWIpX0Cp1MXvV6pBqeLirIcDZi14nWiUaiKRwj6D6SqyRNkZiuyyrrVCViRzWIvR\nQrSKXiEAhzeMtULpn2S0cOczRfmk+oryRZG/iunX9xPiKvsaJm1euqv5jocCtHmniH78Mb6gjYfH\nxmAub9CkwSyJoJYe6WZuKbjS2Ru20XPgAAR94F0BnxO8zqyfVySx5LJJN6B7ykEiell6fYIAugZJ\nIBktDE0FeWlwKzgWwGjBatSULSVcLamv6WBvIz87PVEXRfcB712e47nByjO4akE6v+f274Wiiarm\ns8iS7rUpXP4ID21t4eT1BZ6usb+vTp1b4dyEHXtyhEP+OBKAKbuvoAqmGAZNYatCteQvpWNxkW8c\n2kZCFHF4Qyw6A1yadnBj3s2zezqLVgvdq2yYlU+180LyCSRLhRRyWdWPf/PkOK8e2sbRK/PMOfx8\nNLrEc3s6WXAGuDqzwqZmY9k+k13djdxc8tyaKHrhm7CyCLEIzgvn6NjWD9Fw8hbJ+jlc/P54TIow\n50egy5AQReITdg5saYFL0n17Jx0w35KTiZocXeGl3T1w4kyu2Er+3BNYxjUaxWJuAKUaRdCLLBqW\nxFgNUYd4orRw2dzawMRiblZIp1YQCFc3rdmXN2m9lN5OzTIqiSiiEkSioeR7nUhAIg5iAuLJf7Pv\nS8Sr2CYBehOYm2uzlcmj3aLjnYuF2YRbGXh7P5IacJsvnD68scTnHujN3VgUJaFizyqFcy/T4QsR\nCMfwygRMWiU0tknip7kHWrqlz7vandEZpVtrb+HvI+GMSPI5CQnDBMxgiHqlkrzkLT4/jmVqBVPk\nevqhT8VlzJ3T0Lx9c1o4pcvydMZbDkeq7pJ5XnXWl0RywHBbmQHDoigST9RmC9xokCoEepozC8Yl\nb4y+zeVNFoqx4gvx2EAbx6/O89TO9nu63L3OvYU7EOHbz23ne+9ex2rcUhAwPjdh59kqhnqnSrvX\ncn6nTBBobtDS3KBlT6+Vx7e38duh6boouhspZrQQyOqNKEX+8M9KfHB9gd09jZj1aj57sIcfHh1B\nIZdh1qvRa5S8eXIMuUwoGyHutOo5PbJY9d8sikIpLZaA0IIL+vfX9vh4PCOQYhmxFPD7UIsx5PFY\ngai6MDJL3+5W0Ajp+0RBkBbryZIddyBCWySAYqG0U9U2p5/ohAySEeedkw6wWTOvq0iGKv8+6/wS\ngWtu2jwumE8KqUQctW0SJjXsI8yHH85hjcZhxA2JBIKYoGnqJlxaLCI6kmIk+XPU5Wez0wdeM8Tj\nbL4+D+HmnG1IJBi4sQArTYXPkyVg1KLItukVuLn2EfA2mx2WzoGpWRJJpuTNYK4oMFMX+vy+In84\nlpP9EtetcGpj0Jh0Ycx5z0SRQDiGXiUHx3xuP1AwzwREoUTZ2cF8xIhL38ajjx0Ec+0LuapQqcHa\nLt2AiGwzSxY9hrYG6Rj2u8G7wtnzw/R0RkARSWeZGohwc2YaNEXq1OWKjEhKCSVj8l+DWfp9EaQe\nosyx12zSVmVeUufe5cyYjQf7W0r+PhW8CkXjmPTVu5I2GTUMzzlz7lvwxjjUWjmqDrma3ukL09fS\nwAP9zZwdt5fd3zp11hqZIPC1J/v5/fmZglYLdyBSU2WNNLi1ttmM2YG+SCyOssTgV71aSSBSXaD5\nXmHDiKL88rlQJMZfvXedf/6ZPWUfFwhHqy4VWvaEmFj08OozA4CkxAd7remLulIuI5YQmXH4OVym\nNEApl915dw+5HOQ6qSk7i7966zJWoyGnP6upQUNrq5YriRUOHBrI2f7y+yMMPt6HLBaFaJjfHL3C\nl1/uhEQsV3BFMuJK43Qzb3fR0qyHaJiIOiyJnVgEYlHplr9wzKNryoHoNdLnCcFKZgHZuDAP9ssY\nAdPokjQNPZyJYrRPLgOFri3BSAy7J4gzOcRPLhPobzPBjNQz1eBykFj0F0Qu1UEXeMufcGRyOQmZ\nXHqNMhkIMpDJpZ+z/82+v9w2giAtVF12hPi8tOh2zOf+UbkCTE1pkZQwNaEJeKSFrzzbIr2wr8gf\niuaIeoHihgx3I789N82nD/Ss2fMlqpih1WLSsugKSKIoEoblWeaHr/HY9Di8+UspQ5uNRp8pg2vu\nhsZ2NCJMfHSTSCxOw3oJoiKYs90F5XJoaEQ0WrhwLcLDz2cNgRVFhJCf8XfOsm+3pbA8L+QHl126\n5ZMuy8sSTEkDCC+6nIzsQ/0tfDJm47MHi2S56mwILk46+O7hHSV/b0nORovEEtL5u0qsRjXL3twy\ncm84jqXKBWR2QN3plwZdNzc08b13r9dFUZ3bgjsQSfegGjVKgpHczLkkUGoTOP5wtKoS0mxSPXYN\nOqmtpLFcn55YGFi9l9kwoii/fM7mCTGVNRm7FP5wDJ2m8tuQEEV+dnqcbz23Pef+Rwdym+HUSjnL\nnmDF5upyE7bvJBa9mleeyhgkJESRZU+IuRU/X3qk0CnIYtTgDCWwGvVM+0VM3b2oOssvaIzxBBdP\njbP7qa2Iosj1hlEePLRNuiolxVXJsr/kzSdOYTcoSBhD0KRJC4lQVAm9W0GQ4fQ2orHoYXNr+vcB\nhQ3vpmaMei0IMk6P2nEFohgaNfTtNLPbakCuUOaKELmc2QszbN3Tg1ajSguWUFxk4uIcex/eIi0o\nS4kaQeDy8RvsfWor08s+epuri1xWw+KHp+jY0i0tRt3Jm8sOAY9UXrkiZSQj0Th7bB5wvCu5kSXF\n0gGZnqtXlml7bDAdzfeFYxiyyucMWiW+UCxn8Xo3Iooi//DxzTUVRW5/pPzCLOClyzeF7fwwXAyA\ncxFEEceUQyopiMqgwZoRQS09kijIu4Co4I44FJr1qoJBfRcmHezflBc4EATQGgiYO0hs3lpY1hQJ\np0vyCvqYssryYDLnYbJAmF1hAZY2gdFCi7GR+IgLOkVJROkabr1LuM5dw7Rd6rMrt4AyG9Q4/RFi\n8UR6rlo1aFQKwtHC8svVLNaiWdH1Xd0WLk+vsKfuRFdnnRmZczHQaQaKH7dXZ5zs7q6tVC2wih5h\nk06FKxChQadipYIoamrQYPeENkx2f0OJouzsht0TRCGXVVSw/lAsxw661PZvDU1zeLATjbK8St/R\naebnH05U3N9S9qHVEopI5QVraVCQX8oC0vvaYtKWPOBbTdKsIqtRw9vnp/nmMwNFt8smO1PmC8Uy\nE8sFIVkqpwLKCwe/fIaRuEhvswG6Mxcr59AQHDwIgLltibAgwNZMlK+ly80FV4And7QTTyQYdYzy\n6hcr73NiUUXA0oo2q0Rqye7F0tEpiYwKuPxhvvfudTzBCN89vGPNPjdRpckstrOIBPyo/M60SPLN\nTqMIz0tlfVkR/WZELJMOmGyWFuumZgwzYfSWvWBphQYrjXo1Tl/orhdFS64g0XiCSIVJ37WQYywg\nitL7Zp9JusJNg9dJcyKBY84lHYcyGWJjOwvhLgafe1zqCdKWn5GSw22uVJTmUOVmss6O2/l2XvAn\nRVODNLqg4HygUkt9UI1thQ+KxyWRnhJKnoxgCvnn0BDOyXb2TTmIRy5KrkYyeW6GKSfbZJbKbevc\nMxy7Ms8fP9FfdhuLXs2cw08ssYphxKIIHgdEQiQ0emSJ6nvUZCV6Ax/b3sb337teF0V11p2xRTdf\nejQTfM5fil6dXuGPHq/euVgQkoH/GkWRWa/G7Q9DkwGnL1xW8GzvtDAy56qLoruN/PK5ZU+IXV2W\nigrWH47So5ZKhUpFxCdtXiKxONs6zBX3Y3uXhZ7mygYKnY165lf8q84anBpeZGTezX/3qV2renwx\nHN5QRSe1fFrNOsYW3HgCEQZ7rVUvRlNzWWod3JrCqFFxbdZZtsHv4a0tBWvMvtYGTo8s8eSOdq7O\nONlV5YVOq5QTyktlL7oCZZuFs+luMvDC3m4isTi/vzDDHz9efmFwK7gDEf7tL6/w7155GJq7AJhr\ncsA+oNMoLRqSWSXBZSe0dAUREcHjAI+DpikHCm6mn29rREnMYIX+zbl9S6q1dQy8VcYW3Ty6rRW7\nO0SntQYhUop4DPfkGN3RZZhbkcRQOG9YsVKNormbWZnA7hceh6ZORpZ8GLaEoaeIQCiDKxBm0xpm\nEatBp1bgD2VqwlPDWks1uHc26plb8dd2AZQnhY2x8Ls6PrxAi0YEXTwtlEzGaaZ9Tvo0yTJa97J0\nK/oCssryzM1SOWJ8Y9W4bxR8oSgKuaxiYNGiV3NleoWEKFbOFCUSkpPi0hTYp9n58VmYkY7NQCjK\ns5Pz8OZZaT6XxiCVrmoNmZsm87NeJccXKrTQlwkCfS0NjC+6axdpderUQDSv/yffIyGeEGsK+Imi\nFPiv1TjJpFMxlxzu7vCF2d5Veu27qcXAhyOLPMn6zbDLx+ENIROEVY/KKMeGEUX5RgvLnhAHtzRz\n0+apIIoyqcVGg5qVvIh4JBbnN0NT/MWL1YkPjVLOa2XqpVP0NBuYtq++lGo6OQ18cQ2Hc9mSNpC1\n0GrS8s6FGQC+U8XrTrF3k5WLkw7kMqHmwa0gCdgFZ6Bs9kIQCosUs8XzxUkHX6kQtUyhVSkI5jUU\nLrqCDFQhlAH+4KE+QFqEhqJxQpHYms7oyOb6rJP+tgYuTznYk7Q3dvrD9LUYpSxcVqM9gMs8zVK3\nmTZ5EFx2lsRz0KuRFqIeB4aYn5VZB0TyzEF0DbkiydwMDU0FfWq3iym7j4e2trDoDqxOFIWDmSyQ\nbRoc8xin7TS1NEBqIadryC2FM7eATIbt/RvQtgmAM2N2/riGaF4Ktz9Cz45bcKRcBflZ8aOX5/hq\nme9EZ6OeD28ssb/CNPVq8YZibG6zglmXNo7p3J3gxx+M0ndoQCqdLSjJS5XluaQMVMAjLYqTtC0t\ngfMatPRm+rbuMgF/P/LepdmyvbYpGnQqPIEIImSqCFLE41JG0T6dmeWV5aCqjARA0wS6BlzzNrRq\nhfS9DgeBIv1uWey1eUmMNEKTlb5JLyi3pgXTMwYdvzg1zJbD+6T7lOp6WWedNSUhilTqqlhNKWgg\nHKVdV9v10KxXcXVGMi1xByKYdKXPn3KZjPhtHmb4s9PjbG03cXiwa82fe8OIInle+Vw8IbKlrYFf\nn53i4a3Fh2BBst4yqaJTLlIpoRKKxPjJyTG+9Mjmmga4VXPgdln1fHSj+ODTSqQsFl/a383PTo2z\ne436su3uYM1DVNVKORcnHfyff/JQTY/b1mHmjRM3aG7QVuW5n49Ro2TB6V+VdbRWpcAfjhKNVV++\nqFEpCObVq3sCFfpNSnB4sIt3L83xcr5dcxHiiQTvXJzlpf3V98mMLXr4xqFt/PDoSFoUuf1hzPri\nC9nBXisXp1do29cNllaWplXw9LbkDsRROGyMfnyZvl5Npm/JvZxZkM6P5z6hRp8rllKCSaNf14VE\nLJGgy6rnzFj5xQ8ghdB8rtwBqcnZPWkEAZfKgnrnQcneuqVHssYu8hrMehVXplfY2W0hGq/d7QfA\npFdVlWVeL9wBaXisukwkv9GgZiWvmf1W8AQjBZH51HgEURQRlCqpjNNS5ByeSEh9SimhtLIAtmmE\nhXlpwZwSSoIAlqTFeepz1N6593mjM+fw02zS5HwH4gmpN7W1isy6FLiSPjZZPCYNIbYlP8/lWanv\nNBuDWRLArb0MN0cZfPFBBJmMi0NT6IKL7Hpgj5RxDPmkf1O3UO7PGqWfiNcDsigNKw4Y96f/hALY\nP+/Cs3xUOl7lCs4tBNne34XOZM7JOOVnoOolnnWqYc7hp7OxtHiRSjtre85U+Zy+ir75bBq0UmAC\nIJGoMHYEaf0tjUhZ/0GuDm8Ii17NonPtEgLZbBhR9L//fKjgvpStYD6vH7/BGydG0///m2MjAHzu\ngV784RgXpxyIIqgUMg7t6uDdS7M526d45amtfD21eCzz/MW2Vynk6b6aarbP5v/57RXeOjfNT09l\nLUZ/+9Yt7Q9I/ROPb2+reX8ObG7iy//p3aq3r/X5S22vUcpRF7GKrPT8O7vM/ObsdHowWjX7o02W\nVuRvn/24Wvd/1uErmoEstv1//s3lmp7/9eM3eGpHWzpb5M2au1Rqf2zuYOHzy+X8/TUPP74Q5f+6\nEAU0QDfQzSsPd/H1HZqMuYNnGdx2Xl808cZIc/IJ7KQitK802vj6FjHPPryJ188s8sYHYwX7U+v7\nubvHwitPbWPFG6pq+1dMc3zdnOXaJ1dAUyevO9t5YzRLAL8HMMMrT2n4+tOFmcFiz//mqfGa9//T\nB7qLOmWt1fel1PaXphy8+G/eSv//h8nzYbHtBUEo2P5W9kcUpe9W/vZvnhrnzVPjBdvnPL9MBkYL\nr5+z88aJRaQwa690m4JX+mV83TwnZRZWFqTb8Me87urgDXdhxmK9z1e3e/tUf8zdsD9nxmw8lOzt\nLLv9I91gn6H95in07nmYifP6Slvy82oi2zn0lT0NfP35wZwZXhrXJN8/MswvPsqU//67Y8ey9mew\n+P5fzNofFyDAK0YDX++XpUXT5iYPQ1duMhrt4Q1nUqRfztp/02ju+ST1/J6s7bNf724DX3+oIyOg\n1DqQy++Kz2vDbv/bt2rb/jbu/wNbmvjvX8p1S1YrZfzw6HDOWu/15GPXe3/29DTyJ1mmW5W2d3hD\n/PPPlvh+reH7+fb5GT734CZ++fHEqp9/Z5mY2IYRRWtBg07Fq88MoFcrcrI9J4dvcabQGrOWJXPZ\nRGKJslHiUihWaRZxq4iszgZyW4eZf/+PF/jenz9d9WO0KgV2T/WDbqthYtHDqeFFHt9eW+9JtXQ3\nGTg9soQvFCMhUnEQYqkhbyXfY7UWurdBd5ZRhSjCe5fho5nC7eNRsCVn9mTj6QGKZAJqTMmrFXLk\nMkFK5UcjsDwnldlM2IEiZaFypbTvqSGp1nZJGB2/AaOFJ9n1ptGg2TC2prWwbq+5Yws8/ZKUWbDP\nZkquPCWmvE9ehRandDxYWmsaJH038tOTY7y4r/tO7wYgCe9yNtwAjJyF6Z+AKNIy45DuszaB0SAA\nGwAAIABJREFU1gjuIttbWguGGlsNaiZtlV1nq6KxHfZkFlVKYNYygd8bhI8nC7dv7YWe9sKMVKJE\nj9vMCHiP5d6n0YGrEyhSlu11gtOWFFDaevneBiMaS+SMxgDJ8GDFt3aZ+fXEtsbro2J4g1FEUcSo\nVa6bg/OGF0UKmSzpqlbdBc6winKs1SKXyYgnarfhDRWxHS3Hiq+6g/U2l4XeMrpV9uSolXK+c3hH\nTY4sWpW8oKfoVhncZEUmCPzt+yN89Yn+NXNMSyEIAn/2wk7O31wmHKt8zPhCa/D6BAFUJXrEdj4K\nu/Q5WSXJCa/E371yEnzv55XiNZU8UJtFH5x5m63nP4FZpPIqAG8HUKSXYddjcKiy8+BGp9aJ52u5\nFrst6zqFEtr7pBuAcgSKZCZx2+HMxeQ2aqkXqaUHfLX3PN4NTNq8zK/4K2+4ztjcQdrMOmkJ43Wm\nxwQUEPKBTgbNnSzF+wiYO9j7mafgwylYrC5IYTVq1vw8nc1L+7v5Fz88XfyXbX3waF5kWhTh6DU4\nPVm4vaUN2nUZERXyJ4eg+ykmilYufYK48ltpMSiTZTJMditSBj+PcEAKDilrL/Guc/vZWcRq26RT\nFbWZvxsJ3YYhrm9fmOZTyVYCyUdg7cdYCGKtV8S7kKGhIfbt389PPhjjlae34Q1GeefiDF98ZDPv\nX51nU7OxZN/K68dvFE2x3Q6OXp6jv91ET1P19e2RWJyfnZ7ImSV0/PQZ5uJmvvZkYarT4Q3xiw8n\n+O7zO6QF+LGR9PDZfH70/g2+cej2vhdHLs3y3Cqb5f7Nz4f4V18+mHPf0NAQBw8eLPGI1eMJRDh2\nZY7PJw0TfnZ6nM8c6FlVT1M+NneQn50e5w8e2kSXNXMsfO/da3z38A7evzrPltYGepK9br/8aAIE\ngU/v7+bq5Ys5r/efzkzy+Pa2ml0El1wBfnpKek0f3lgq+E6s67ER9OeKpFTfUqBExFcml2b/mJtB\npgD7DB99fJ7927pQK+RcmFxm3+aWTB9JqtleV/wcsOIL0WjIvF8XJpfZ3d2IIAj85INRXrlD54da\nWe2xv+gM0NSgqTpw9M7FGfb0WGm33LqhRrnj6icnx/iDhzahrTH4UfP7kLJxtk2nXczwOnO3kcnB\n2pHpSWrpKS3+8/h4dImDm5tva0Z9aGiIIzNy9m6y1pwtcnhDnBpe5HMPbmLZE+KTMVtVs7+yry0/\nev8G33h6K7jsXDpzjqagjY5osg8xG6UqKT6lniCaOkGu4Efv30AQqPnabHMHGZqw8+K+bn58YpSd\nBm9Nx8Lrx2+wpa2B5gYtW9uL99eeGbNxYHMzcpl0Pf3GoW1rk+1MJCQhk9fzZF+yc/bKTYyE2dmk\npFEeyzGXqIjBDI3tjCx7GXj0kHQc3wYznEmbl1+dmeSxgda7Yvjteq0NbpXfnpNK+YuZNl2fdeIL\nRXmwv4XfX5hh3yZrVX15KS5OOnj9+A3+0ysPJefEiYDAhUsX2bdvf2YYvCAAyX9lMkDgjQ9G+dpT\n2/i7k+O88vRA1nbFef34Db76RP+6nedC0Tg/+WCUP31WGhdx5NIsA53mnDVTtZQ7FjZMpkjKukj6\nLnu2SF+LkZtL3lU18683u3sa+YePb/LNZwaqKlsTRZH3Ls2xuyc3omBQy0j4xJy+EYBwNM5PTo7x\nncM7KpZO3SlWK4gANreukcNEFWhU8pzp0tkGHbdKi0nLn7+wk59/OEGbWcu2djO/HpriyR1tCIJA\nm1nHoiuYFkW+UIwX9nbxdyfHCDj97B6Mp48fpy9csyACyVr9z17YyUc3lui/3bazWr10a80znoiE\nMlmlbLHkc0mmCFnGCGHkqLu3QksP05YEOw8/ikpb2Ulx0Rngv7x9hf/jqxmjkGNX5pm2+3h0oJXG\nVbyX9xr5JRuVSNly54uieELE5g4yv+JnbsWPyy816soEViUs9/c1cX5imcfWqbw0jSBIGUhTE2w9\nIN3n92RmUdmmwbkkmXHYZzKPMbckBVLKhEM6H/nDUfTqzLnh2JV5uq0GOso0Ua81CVGkxaRdVclv\n9qDSRqMah7fyc4iiCGJCKlm1TdN79UOwxSAUQJh20NJlSWY3dFKpamtSBFnaipYpalRyYvHao8Ap\ns6QVb/I8KNZWSieK0jl0W3tpV9HsBX6zSYvNHaxpoVoSmSxjzoD0Gb41NE1Q284X/vLzuAMRTibF\nKvFYcdOIkD/3voBXOl/6XBgX5iEwK/2tpFDC2pH5d42F0snhRb7y+BZOjyzx4PpNoLinWXAG8AQi\nJV1sTToVs46kNbY3VNmCWhSlz965BK4lWiducuDqOfjJe9KMwiQtC/MwcbzsU+2ZdBCZNPOAzQMz\nWWtOQcgVU8n/H1rxszwsp82iTwur/G1yBFiN21y76eBzrQ3w/kUQBHY4A3ivxaCrMe958vYt+3n0\nDdKxXoYNI4pSiKKYFEXSYqazUc8H1++unqAULSYtX3xkM3/13nW+/OjmkifWaDzB+1fmmbB5eKi/\nhb1JR7FsXjrQw6/PTqazRaIo8rfvj/CVx/tz5kJoktbS+dFXfzha84CvO83Xnrx9Z9rsgbPxhLjm\nZT8KuYyvPtHP2XE7Z8ZtfOvZgXQ5XZtZx+jCApApdWqz6PjWs9v5/Qk3b5wYpdWs5YW9t2ZPqVHK\nObSr+AlDIa9t2PCaDFBVaSSb5pa8SHc0khFKsQiitZNT8mGefv5ZAAyyOWyBOF1VuMu/d3muwPGn\n0aDGE4gwuuBOn0fqZOhs1HP82gIPbJHMNOKJBG+cGEUuCLSYtXRY9Dy5ox2zXoUgCPzu/DRTdm/R\n8QPlvkfbOkz86P2l9RdFxdA3QN9u6QaSQLfPZGygl+ekhYdzCUbOSNsYzATMnXzvgo9/+e2XpWym\nIODyR1hwBW6rKHIH47RbdCy5ghW3jcYTfP+967z2/E7kMoEpm5endkqW/TJBKF1WHY9J78PSFM6J\nER6bGINZ6UtndjgQjY0IOhPL1kYUjz0miSFzc1U1kxa9uqqS33wUchmxuMi800+HRUd8peanwOWP\nYNZXV3I20GHmxrx7bURRFkuuAH//0U0OD3am5yNajZqMQJUrJGFjqDASIpGQnEJX5vF/fIJPHH52\n6MIYk0KJ6euZbfWmXJHU2F7b4Oks4glpiHarWYcnGKn8gA2C0xfGqFVWlS1JiCK//HiibK+dSa/C\nFZB6imLxvBlFsagUJEydh5JCiFCm59wQimKJukA0SceKTA6iSNzplT5vUQTEZKm5KP0/GeAQ5Qr8\nMdBo1JKoSJWqiSKIhd/Ndq3A9TkHbeswwzUhijC7jFXVDMkkfnM8gXPeBZFVDFXe9XLJX91bq+AK\nNCcjY3ZPiC2tUrRbIZfhD0fXdMr9WtLUoOG153fwxolRDvQ1sS9r/oc/HOWdC7Os+MIc2tXO82UW\nvVajhi6rIV2O9osPJ3hmd2fBDKCeJgMzy76CQbR2d+ieWwDezqZ0IWtxcHPJs25Zqge2NKcXmynM\nelU66p5/wW7SK3jx4Ham7V5+9P4NutZiaGkRzHp1xcnWKaLxBP/650M52Zc1RamSLtrJiM9vzk6x\nozWzX61mLYuuYMW0ejASQxRF2sy65CwGlRQcUCn49IEe/pc3PuZ//Nze9XkN9zAmXcauNRSJ8cNj\nI3z2YC/dJcqAn9vTyRvHR/nWc9tr+jvSgjxpzX2nM90qDXRulW6QEQTpkrsZ8Lm4eX2Cx0JREv84\niUyrJ9Hczb5gDOcksMl628wb7P44g5v0VYmin50aZ0enhWNX5jg82IVICVOWSDg5xytljz2Xjj67\nljy0GDWSEGztxWtVYt87SEtnB9PHb8C22nr3LAb1LfUozK/4ObC5mZkaRZEgSEGvakuANrUYOL3G\ngyvfvTiL3RPkO4e3F6xZZIKQdhWsCpkMLC1gaeHqZJClZhPeZgPP9WokN8ZsZ0a/W7rlC6WUSLK2\nQ2NHVULp3MRywXUMpGyHPxRNVz1sNP72/REe7G9JmyfFEwl8oVjR0R1vDU3zwt7usutSnUpBMBQD\nn4sGxwRcWpSEj3NJKvktFrFQadJjDOR6Kxew8dJXXszpLbMNDdFdoZRw6swkTq1SqrpKDbkXc4VT\n+mdEFIkEF94fZs/T20puQyKR+Tn/92W2+Wh4gY49OmgypB+jFEXGz9xk1wO9hc9T9O8mpPl2jkKH\nyGw2lCjqb2tgbNGN0xfOSTN+/oFN/OLDiaI9N3cDKoWcbz27nbfPT/O9d6+hVSnSUfkX9nZVHYV6\namc771yc4f97+yp7N1mL1kT3NBu4NuMsFEWeYG1T6u9DlAoZZ8ftzCz7eGZ3+RTsWpK9ICwVce9p\nNtY0PLdWGg1qnP7ioigSi+P0hdPH6ZkxGwmRmgxOVsvIvIuEKNJjyZzwW006Ph6tPAPsvUtzPLun\nE5s7yKTNy95NVqbtPnqaDeg1Sr757EDNpWX3A6kAwaTNy2+Gpvjak/05PVn5qBRyTHoVNnfuOSYc\njaMqYqmfTV9rAxNL3rR9/lpwZXqFLqsecxH786qRKzIlYHuehESCsH2BiXdPsllw4Yos0xgKEBi9\nwgOuAP6Tn8DSEWjqypTcNXet2wwbuy9Gd5OBofHlstt9dGOJ7iYDT+1s53vvXsPhDdGQKsEO+sE+\nTcf4KfAdA+di7iJMEKBR6tu7rE3w8meeTvftmaZXmAnH0YVjOaWE1bK725IzjL1Wlj0hmho0FPHA\nXFPkMlnOfMRbZWzBTSyRKLlW6Wtt4OYqvg+haJwL8yH+1Z88whsnbsC+HrC0kNg8SDAcQ6+SS4vs\nlEhyzEufd0oozQxnnkzXkAlKlRBKl6dW+OazhUL47LidUDS+IUWRzS2VuI/MudKi6OT1RUYX3AXX\n5rkVP4FwrHCNFo1IZeHJrI/gXGL30FWYMdA36QB/VpWQTCaV/JpbM7PcLK3S55NcM2hEEXH4/KrM\nNkw6FROLnty1Yk5fUaGYUzeY8KLGqFu781pCFLl8NcpjB3YW/M45pYTNqzBLGioc4ZNiQ4miTS1G\nzo7bSYi5w6baLDqaG7RcmnIwmFV6lhDFdTL1Wx0pV41UidRqoqMv7O1moKP4whmkUqwjl+YK7re5\ng7e1R+de5KtP9PPuxVku3FzmDx/uuyP7MGX38nSJErf1pNFQ3BpUFEV+9P4NgpEYf/nSbgRB4Pqs\nixcGu5hZ9tGXd0zF4gmc/jArybr/FV+Ire2mApFeDddnnRy/tsCfPb+Dc+ccmX01qnFUGDAaiydY\ndAXobNSjUyk4cX2BvZusTNm97E9maw9uLox01pHwh6OcHbfzFy/uqmqw9af2dfPDYyN0NupZ8YX5\nxqFteIIRjNryF+uDm5t5+/z0moqi49fm6WrUp01T8hmasHPiqlQe+OTOKjMAMhnvzsbY/9JnSIhw\nYd7Fs5t0TJ69gMm/gGP4urTgWZiQbsnHYO2QyspS5g1r1NcRiCZo0KrQqRX4Q9Gi/Y82d5DhORff\nTJojfGpbA3/3o7/ni31y+KffSeWpQNviCjG5GYVCmuOVNkVo7pasoQGXfwRZlpFJt1XP8avzqBSy\nVV1XNKt0Fk1RzQiCtUIQBOJVDLgsRjSeQCaQHnr5wfWForNhUgz2NnL0ynzN34efnRrnqc16aR+z\nNNzVGSfnxu2SQYY5OT9uSzI7nkhIQiklklJCKTW0u6hQasenb8Yki6bff5VCTjgq9b0uOAN3bX/z\nrfLOxVn+8KFN/OrMZLqvcHTBjSzvuEiIIv/48QSvPdouZeWyy9+8halNeSwMmha8Fh3s3CsJH3Or\n9FnJy39PBEGoycgrG7NexU2bh8ZKfUxZ7O9r4uLkMk/sWLvM6SejNh7eWtqoY60rCTaUKFIp5ERj\nCYopncODnXzv3etsaW1IXyCCkRjau7CP5lY/4FKCCKRp4cUMB/Oza3WK8/zeLp7etXZf+FpxB6K3\nFuFeJRaDmrFFT8H9//jJJE/saMMXinFmzM72LjMGjZL+9gauz7rSoujXZydx+SPIBAGLQU2jQY3V\nqGZru4m//2iCre2mqo57URQ5M2bn/M1ltnea+e7hHQWPkwkCIqWjt+FonL8+MpwWthaDGpdfElE2\nd6ieMa2CP39hZ03nKb1Gyece6KVBJ5WCHrk0y7YOcyYrUQKjVpkemrwWhKJxzDo1yyVE82/PTSOX\nCfzLlwc5O27nB0eG+dNnB9Kv9YNrC2zrMBVk7+OJBAvOAJ892Es8keDE1XkY7OK6tpdPP/Ykx4w3\nefjhDqncLlVy51xMzk+ahWtJm2dzc8aIoKWncs9IBdotOhacAfrzItKxWJx/OnKWV3eo4eQ/gG2K\nHp+Lp1cctBkapWiwQglNXcRMu1nqH6Bz20DRiHM4GkeZl/Ez6VS4A1HGlzwl+xTXC7lMWFU/Ekhr\niFp7YPpajfzqzCSH93TSUKRMqhy/vzCDwxvi1UMDeIIRNCpF2XIqs16dLl1NcfTyHDKZUPJ9Hpqw\n09NswBiSTCfkyf5YpVzGpUkHkVKGFjJZRihtTg7lzBdKqdK7LKE0v+DiRYseHEfA2s5OrxrbVQ/d\nA9vuqiB0KX51ZpJYPMEXHu6r+hwXCEul2HqNkse3t3F6eIn+tgZ6m41EAj6Wx0ZoirnBucTlC1f5\nityP0l7kc5bJk+95JvNz9YqHwcN7mTgxxhMP1G5YU05kl8OsU7PoCtbk/rmlrYFjV+bWTBSJosjF\nSQevPV+8CsaiV+PyR9Z07Xr3KYJ1QhAEvvJEPz89Nc63k7Xt/lDsnjMXWBOKfM9vZ2TtXudO9Kbp\nNYo1XRzWiiXZU5TNhyNLmPUqtndaEEWR//bONZbcQZ7e2U6LWcuRy5mM5LInlLbSzOfA5ibO3Vwu\nm5mJxRMcvzrP2JKHB7e08NrzhWKoGvzhKD88Ks2FKubSt9qBwPcbq3mPUiUzZr2a9y7N0mzSVswU\ngTQ7zhOM0FDFtpUYGrdzcEszkzYPsw5fuu8sFk/w4xOj7O2zsm+TlCl8YEszkVicK9Mr7Om1khBF\nTlxfIBiN8UKeKDpxbSFtTiCXyaQBwuS5VGoN0LtTuoHUo7M8m7EBt88m53bZYTRZ3qE3ZbJILb1V\nGxWkaLfomHP46W81SpFo2zTYprj88RBfbpCj9GW9pyoNg48/mhRkvVIviVyOZs7JbCBCZ4kSnLFF\nd0EZUOr4cAcitz2I02hUM7PsW9VjTTplurG9Wp7c0c6cw8/vzk/TatbVJALt7iC9zUbOTSwzafdy\neLDIPLU8BEFyzdSqFfzm7BRb2hq4Puss+ne9wShD43Zee34nQ0OSWc/mViM3l6SyqEgsjqqWEudi\nQillaZ8USQuOs2wzCmmh1O0L4x07ReScjn0rMdzaZrAcyJg5FBmV4A9H+a+/v8afv7Dzts6OBFjx\nhnh8exvfe/c6rz4zkGNUVYp3L83y/O4OcNnp9S1x9ewZZoIOnmkVCK44WHIHaWozEYnFEZZdWHut\nUnYtu+zN3Cr15Mlz/17sxg08oRimVZakrfZ6ZtariNU4B0gmCPQ2Gxlf9KxJdv/KjJPdPY0lX0N3\nk4EZh68uisph1qtwlJgAbNKpGOxt5IPrCzy5o126YK2i3vleR6OUE4rEbrlEoc7to82sY9EZKJsB\nWU8UcllOjf/EkodJu5evPiE5AAqCwNO7Onjz5BgvP5C01k5u7vKHizaapnhgSzPfe+96SVH08egS\nl6dWeHpXR9UW7jJBIBDODXq4/GFeP36DVw8NFI3oiqK4blOy6+RyaFcHrx+/kS7dKsfBLc2cG1/m\n0Cr7+LJ7mUbmpXKxLque35yd4itP9OMNRvnR8RH+4ME+OvOMSh7Z1sr337vOnl4rQ+N2PrW/mytT\nuSUuoihyY8HNM7tLL2gNGkXByARUaujYIt1AMm9wLEgCKeVy53fDzcvSDaRytfTsrR5pYZm3iPIE\nI+jkIthm6Jwfx/bxObgYhqh0XZxb8WOWxTFZmzMCqKVHshgvYgTRZtZxY95d8rWNzLk4XOR7eafO\nVVaDZlV23gAmnZpGfe3Bp06rnj9+vJ8fHBmuWhRFYnGUchnP7O7g+0ekUrTUKJFyfGpfNxcmHQQj\nMZ7c0ZbuYylmwPDmqTG+8kSuS+tAh5nTI4s0NWjSi0mXP7x68ZplaT9l7COs3AmDXemMkmFxhrGh\ny8iDXtrVCXDcRLzozpxrdcYc17sZ0cg/XXVwoK+JKbuXXd2rcBdbJalr1bYOM4IgcGbUVryENuhP\nGx7EVxaxfnSRthsK6TsMbFpyEk8kUDRYMRr1XPJr6N+6j5OzMfZ+dSd01VYqu+INle3bXA+MWhVN\nqxhJ8dyeTn54bGRNRNGZUVvR3rQUvc0GPri2kNMWc6tsuFXxljYTLJY+gT/Y38LfHhthZ5clWfe5\n4d6CinQ3GZjOcqArVvda5+6izazl6oxzVTOI1hqXP8w7F2cLUto7uywFbm2iKHLhpiPHVTEfQRDY\n2mbi6swKy54Q44sevvZkPxqVgvkVP+OLnppNJD5zsIe//2giPfzR7gny5qlxvv3cjqLZ4eYGLTdt\nXgya++98cCfobzchQlXlRn0tRo5cnuPJnW3p3otKJESRT0ZtXJx0oFHJ6Wky8OSOduQyAZkgYNAo\n8YdjzCz7+PXZKV49NFA0Ip2KfE7avJy/ucx3D+8oEEVnx+08kCfoTTpVuiQTkkENVwCjVooWR2OJ\nwj4fuSJjQb/rcSkC77LlltwFPDAzIt0gWeLWKQmkxjZwLuEdvsbTwxch1IEa0NiWQdcERgseYztn\nFXI+/9lDYGysKutk0mXcL/OJJ0QWXcGin6NGmSxnv830tzfQ0bi63iyTXoUvtPqoszTPrnDkRTGu\nzjjZlYyCf/WJ/oKyuFK0mnW8uC/39fW2SMdodv/WB9ekPsn8DKvVqGHFG2ZoXMrOuwIRxhY9Rd3i\nauXk9UW+8EhfjlBS9e1hONzPmAy+uNPE1Q/P47fEMASWpSBAwAsB6Ziecfhw+cP8xUAvvukmrg1r\ngX2SaCoxfHstOTNmT8+h6msx8snIPLQJuZbXziVpFlCS2WUvAxoFxLVSuaullU0DVhLmFmjrAmMj\nY8dHOXhwC5PBMZ7tr82FU6mQseAK0Gi8vRlXuUwo24pRCoVcRrdVz6Tt1ueDps7XpWg0aEomQVbL\nhlsB7Oiy0Nda/oP44yekiM7BLU1lI9gblZ1dFn52epxPRiWXsKYGzW2d+VOndtrMOn5wdKQg6ne7\nicTivHFilG8/t73oySp7cdRmkYbO3rR5KvZhPb2rnR+fGOPRgVb29Dby/SPDfPu57fzy45v82QuF\nrjOVaDRoaGrQcGPehV6t5J/OTvLa8ztKlj5uajFy/Or8mkac6pTnf/r8XoxVlMYIgsBD/S383Qdj\nuAORsp9jLJ7g/FyQsyvXebg/U2b523PT/PDYCA9mLfz29DTy7qVZ/uyFHWXF1jO7O/gP/3iBB/tb\nEAQBg1aZk/U5d3OZ1/JEe19LA0Pj9nR0ty1Zxra13cSJawucHbfzly/tLl8aJAiZ0pqBByWR5Hdn\n2YBPS6V2i5PSLUlw0Y1RkZBKnFp6mdaI7PvM08S1Bl5/5xrf/vIOqKIkKLMbxRcl8USCHxwd4bMH\ne4r+vrNRf0sOcqul0aChcXW95WxrN7HpFpzRHtjSzNlxO09W0VNxdXqFP3pcyhIaNMpbKhPb22vl\n/avzaVHk8IaYWPJIBgolmHX4ODzYSaNRzVtD07csiuKJBOFYvKQgjMZF1E2tGHYcYEajZEeXRTqm\nvSvE7XN8cGqIdrObPW1BCPowBr1oJh0QTFqEaw25c5TWUiiJIgS8eEav0CXTw3UbCucSOy8Ow3SR\nTJVSle77OYefP/zUo1KmVSV93/Ml+bYOM//1nWt8cRUGTSadikmbl2fLZKLXi3IzlMrx3GAX33/v\nOgaNklA0zrO7O6SERQ14g8UNYvJRyWVrOnJnw4kiuUyoWBKnUcp5brCTHxwd5p+9uOs27dndg1mv\n5rXndxKJxQlF4jU3h9a5/eg1SiaWPPQ2r/JqvwaIiLxxfJQvP7q5qkjollbJIh8q1zXLZTK+cSjT\nRPqVx/v5t788z3cO76h6YGw+L+7r5v9+6zIGjZLXni+/8O1tNvAff3WBlx/YtKq/Vad2aukR2rvJ\nyt5NVkYX3JweXioopQtFYvz+4ix2d5BWg4KXn80V0p8+0MPb56fZ05tZ4Dy0tYWHyrgapVAp5Dy/\ntyvtSrijy8L1WScPbW1heM7JQLLUJpu+ViO/+GiCLz2yGZCCGmfHJTe3abuPf/ap3fzNsRG+89z2\n6suYBSEzsDPVzxEKZDJJLhsuVQMfiAkGtzbBY08A4AyNgL6BX5wa5+WDvVX1SFQinkjw/SPDfHp/\nT8n5VI9sa73lv3O7UchltzRGYGu7iZPDi1WJomg8sWYLuWyzGFEU+dnpcf60jCDSqaUeVUGQ1kvB\n8OpnQqU4N1G6L1QUxXQ1ijSM3C2JIkHAq2zgjbFFPvXiFyVjnqRQEhwL2GMfQ5tCMnMI+mD2hnRL\nkS+UUj1K5a43sWjG9jor+xMPBeifXkEIZAJjAiJiQyOCpS3T92Nplb6DgsDwnJNGYxBaypdM7t1k\n5cS1+VVZkZv1Ks5NLPOlR2+/wZJ6lecKpVzGXyTX1glR5Ndnp7gy4+TlB3qLBlNDkRj/+MkkQDrw\ne9NW3TzI3b2NXJ5eWTO32A0niqploMPMo9taMd/HjmsqhfyuHGhbpzhb201r0my+WrQqBTu7LFXP\nzeptMfLzDyd4sL/2k1VTg4Z//ZUHa35cNjJB4NvP7UCvUVQ0EdGrlWiUCqy3uUShTm1sbTdx/Op8\nWhQFwjF+fXaKUDTG84NddDTqGSoxgyI18mA1PLw1s8Dvb2vg56cneGhrCyevL/KnRWreG7QqZpZ9\n6SCGTq0gGIkRSloTG7VK/uTJrXz/yHDZzFdFNDqinds4uqJnhm7a9DpeeLmJxZsZu2QMaUesAAAg\nAElEQVSFTMaZMRtWo3pN5sPE4gn++sgwnz3YW9CDlc16zyi7GxEEAblMqDijzeYO0rzGLpeypDX4\nuxdneHpXR1mxPbjJSihSnUPfyLwLazLzXo5Ss4lAcpFsSvZLtZq1fHBdMn0QRZEfHB3mW89uz/Tb\nCYJkONBgZX5KCYcGkkLJmbEGT7nelRJK2SIJwLWE5dKHMHNasr0u4sC7FBAxb94GW/vTGdqFiSAd\nA50lHUlLff/z0akV/M9/uL/idsUw6VTYPcF7dq0mEwQ+/+Amxhbc/LffX+OPHtuScyyNL7p579Ic\nX3ikj7eGptP3T1TpXLmru5Gfnhyri6K14A9KzKmoU+duZD2Hs1bDHz22pabtlXIZ8yt+9vfduf02\nVrB8zubVQ9vqznP3AC0mLYuuAK0mLa+fuMGXHtl8W3vtVAo5sXiC6WUf7RZdyQzknp7GgvLsc+N2\nDm6RMk4Wg5o/fnwLf31kmO8e3lF0Ef32+Wm2tpuKlp6Eo3HeuTjLkivAc3s6eXFfd/p3izcz27WY\ntHw8auMvX9q9mpcLkJ53pFLK+esjw3zugV46GksLovuZwV4rl6dX0pnFbERRZGJJGnr81TUuhd7S\n1sDJ6wu4/BE+td9SdtuBvLlwGpWiwJgmNQduoMPE8KyTZW+Yza1GntrZXnDMS6VOpYNPjw60pc/F\nKoWcaNIIY2zRw4G+ppLn6QatCncgIn2PGhqlW1/yOM4WStkW4UEfzI1Kt+zXaJsHeUdy6GlzgfPb\nkTMLfOXJrZD1PeyPuhlbdBcVRUuuAE0Nmqr7HFeLWaeuWsDezfS3m+hqMvDmyTH62008vr0NmzvI\nkctzfPf5Helez5TTqNtfnXOlUi4raqziD0XRqRU1X9Pva1FUp869xGqHsN1JvvnswF1hDlEN92K5\nz/3Iod0d/O7cNM0NWh7ub7kjx5dcJvDOhZm0kUcx/sVnBwsuyCPzrpw+j+YGLZ9/cBM/ODrMt5/b\nkTMA1OUPs+wNs+haBEgLo2AkxtvnZ3D6wzw/2EV3U2/ZfX1iR1vaLny1tJm1zK74OXp5jj94qI92\ny9oMmd2I7Olp5Genx7kyne9SKImi3mYjrz2/o6b5L9Uw2Gvlf3vzLP/hG4/U/NjNrUYmljzs7mlk\nbMHNkStzbG0z8d3Ducfk8JyLHxwdQaWQISAQjMb48qOb+XBkiad2lo7qlzpezk3Y+ewDpY/f3mYj\nU3Zv8V5PQSgtlLJFkiCAuRVXo4OOx56RDCCKDD2NJeYLSrV7mw2cGbPx2EBbwfbvXprjDx/aVHLf\n1wqTXoXZsDFaHDRKOa8+M8BHN5b4wZFhApEYryUFEcDuHgvXZpw1X4tbk+68rWYtV6ZX+HjUhk6t\nIBSNI5cJ7O5pZLDXWlUpfl0U1alTZ91Yq5R2nTopGrQqXIEI0bjIs3tuf/MxSAJlyu4tW3Mvz3P0\nlAsCyArnwXU06nlxXzd/e2yEbz47kP79r85M8oWHN6PXKPjxiVFOjywBUo3+i/u6aauyjHUtFt9t\nZh3fe+86/8PLg1X/3fsVhVzG155c3cDMW6FBp+I/fuORVZUt9reZ+OmpMT68scSmZiPfeW570QzI\n9k4z2zszWaZgJMZPkgYonzlYXpwXo9JYlN5mA6dHFqs3wMkWSpty+8WDQ0OSQ2MRsmeWZaNSFHdQ\n9IejkBzWut7o1QraTBvrO/fItla2d5pRymU5ZYH9bSZ+enKMB/ubC86f5XhgSzM/ODqM1ahhd3cj\nf/rs9vTjY/EEV6ZX+OnJMaLxBN1WA+VM3uuiqE6dOnXq3FN84eG+O+oc+vC2Fh7aWpvgbzXraC7R\nl9HbLJUl/dV713lpXzdymQyTTpUuKyqXkbod9LUa+V+/sP+2D2KtUxur7eOyGNTs7m7kkYHWmoxt\ntCoF33puO4EajRpUCjk2dxBTheOp0aBmZY0tl4vxyZidZ0vNQSuyNn/v4iyH91Y3M+9WEQSBP3nq\n9ovs9abYuUQhlxFLiMws+4uK1FK0mLR885mBogEbhVzGvr4m9vU1IYoiMw4/9qmlks9VF0V16tSp\nU+eeopohl+uJTBCqmvGTzeHBzrL17f3tJlrMWj4ZtTGx5KlqsO3tQi6T1QXRBqfokNIqKTb7rRyt\nJi2/OTvFC/vKC4tK/SCXpxzs7Lbccl+Pu8zw2kaDGoc3lC7TjcTi2D2h25oxLWX0sBHRquRcnVlh\nT09tQ3ur+TwEQaCnyYB9qvQ29589TJ06derUqXObqabht0Gr4vBgF689v/OedZuqU6cS7RYdl6Yd\nVWcDxCJucaFonN9fnOWHR0f49dlJQpHCbNXQuJ2bS56yz+0LlZ+H099mYnTBnf7/W0PTvHQLTpZ1\nyrOzW5of11lDpmgtqYuiOnXq1KlTp06dOreFdouOnV3lHfJSmPVqXP5Iwf1jC24O7ergO4d3cGBz\nM2+eGufNU+O4A9K2528uM2n38vaFmaKiKsXQuL1s7+u2DhPnby7j9IXxBCJ4g9GyVvR1bo2BDhMK\nmaymnqK1pF4+V6dOnTp16tSpU+e2YNarqx4x8ei2Vn78wShfebw/Z77N8JwrbUPf2ajn1WcGWPGF\neGtoCl8oikknWd5fnl7h/avzlBoDOrHkKevOKJfJ+NNnBvj+kWHUSnnNoynq1IZKIedffHbPHfv7\ndVFUp06dOnXq1KlT57ZRaaB2ihaTlu8c3sHfnRjlqZ3t9LdL1vS+ULRgvlGjQcPX/v/27jyu6ip/\n/PjrXvZ957LvIAiigCi4r6m55Ea5jVkz1jhW2kNzzO9UjjNlmZaampla7qYmZYS4oJIIAqIIiiig\ngoBcdmUVuHx+f/i7n4GyxiYVL3ye/ySXy+2ccz+f8znr+/T3prFZJQaM6OZiyebjV/A3+WUUOVWL\ngFwm+69LW/V1tZk5yIfL+ZXtGuCls/g9QRYeNWn5nEQikUgkEonkqaQ+3+anK7fF136rG6OrrdWm\nozO+lztHrtWQmlvaZildVmElvk7mD/qIXzA10CW8i3SWXUcndYokEolEIpFIJE8tLbkMXS05DU0q\nSu/WY/Ur4e0fxNpUnzF+JjS3tPDNmVzx9Ys3y+nhZv04kivRUFKnSCKRSCQSiUTyVAvvouDsVSVZ\nhVX4OT7cDI+aTCajt/f9mZ6q2vtnHzU2t/zmAcySzkfqFEkkEolEIpFInmoeClNyiu9ws6QaN1uT\n/+kzRgY5cyTtFiV36n/1MGVJ5yV1iiQSiUQikUgkTzWZTIaZoS5Vtff+5wNbzY30aGhSEXe5iF7e\nto84hRJN99g7RcuXL2fKlClMnTqVjIyMNr9LSEggIiKCKVOmsGHDhof6G4lEIpFIJBJJ5zOgqz1W\nJn9shmdEd2fOZpdgY2rwiFIl6Sgea0julJQU8vLy2Lt3L7m5ufzf//0fe/fuFX///vvvs3XrVmxt\nbZkxYwYjRoygoqLiN/9GIpFIJBKJRNL5KMwNmdbf+w99hp2FIe9MDn5EKZJ0JI+1U5SYmMiwYcMA\n8PT05O7du9TW1mJkZMStW7cwNzdHobi/8W3gwIEkJiZSUVHxq38jkUgkEolEIpH8EeZGeu2dBMlT\n6LEunysrK8PS0lL82cLCgrKysgf+ztLSktLS0t/8G4lEIpFIJBKJRCJ51J5ooIXWh2Y97O9+628k\nEolEIpFIJBKJ5I96rMvnbG1t28zylJSUYGNjI/6utLRU/J1SqcTW1hYdHZ1f/Zvfkpqa+ghTrnk6\ne/5b62xl0dny+2ukcpDKQE0qB6kM1KRy+I/OXhadPf+tSWXxYI+1U9S3b1/WrVvH888/z+XLl1Eo\nFBgaGgLg6OhIbW0tRUVF2NracurUKVatWkVFRcWv/s2vCQkJeZzZkEgkEolEIpFIJB2YTHjM69M+\n+eQTkpOT0dLS4t133yUzMxMTExOGDRvGuXPnWLlyJQAjR45k1qxZD/ybLl26PM4kSiQSiUQikUgk\nkk7ssXeKJBKJRCKRSCQSieRp9kQDLUgkEolEIpFIJBLJ00bqFEkkEolEIpFIJJJOTeoUSSQSiUQi\nkUgkkk5N6hRJJBKNcOfOHZqamto7Ge2upaWlvZMgeQqUl5cD0vWQm5vb3kmQSJ5KUsiA318/Sp0i\nDbBnzx4OHz4MSA/Auro6CgoK2jsZT0xny++vOXHiBC+99BKXLl1q76S0i7KyMoYNG0ZFRQVyubzT\nP+w6c53Y0tLC7t27ee2112hsbEQu77yP8e+++44333yTM2fOAJ3vWmgtIyOjvZPQ7k6dOkV2djbQ\neTsETU1N7Ny5k5qaGmQyWXsnp100Nzezbt067ty587ufl523NtUQgiAQExPD+vXrATr1AxBg/vz5\nLF++XBwl7eg6W35/Tl2Z6evro1KpyMjIQKlUtnOqnryKigoKCgrYunVreyel3XX2OlEul1NYWIhS\nqWT37t1A52sAqvNrYmKCjo4OR44coba2ttNdC2oJCQm8/vrrREVFAZ2zc3jp0iWWLVvG999/D9Bp\nOwTx8fGsXbuW/fv3A52vbgDIycnhyy+/5Isvvvjdf9s5axANIpPJcHFxoampiU2bNgGgUqnaOVVP\nnrqSNzExobm5mcuXL9PY2NjOqXp8Olt+/5uSkhIUCgWNjY2dakRUfR0YGBgwZcoUYmJiOH/+PDKZ\nrFPWA9C568Tm5mYALCwseOeddzh58iQ3btxAJpN1msaPIAhig7ewsJBRo0bh7OxMZGSk+PvOQp1X\nQ0NDzM3NiYyM5O7du51iNvnn+VMoFPj7+3Pnzh1iYmKAztU5VJeHvb09/fr149SpU2RlZSGTyTpN\nOajLwMLCghEjRnDs2DHS0tJ+VxlInaKnSHNzM+fOnePevXvA/Qd9RUUFzs7OrF69mm+++QYALS2t\n9kzmE1NTUyP+Wz0C6OLigkKhICEhocPNnnS2/D5IZWUlS5Ys4ciRI8B/GoFWVlZMmDABCwsLCgoK\nuHjxIlVVVe2Z1McmMjKSn376CfjPdXDx4kV69OjBW2+9xZo1a4DOUQ909joxOzubJUuWUF1dDYC2\ntrb4ur6+PiNHjmTXrl1UVFR06JHxW7duMXr0aC5fvoxMJhP3FlpaWmJsbExoaChXr14lLi6OkpKS\ndk7tk6P+zouKipgxYwY9e/YUBwo6submZnGQUN0Qzs/PRy6XM2LECE6fPg10/Fnk4uJi6uvrgf9c\nC2lpafTo0YMJEybw9ddfAx27HG7fvk1RURHQtgz69evH/PnzWblyJfDwZdBxS0oDLVu2jLVr15KS\nkgLcf9BbWlpy8eJF/Pz8ePbZZ4mIiODjjz9u55Q+ft988w2vvvoqmZmZwP1KsKamRmw0y+Vy4uPj\niY+PFxvOmqyz5ffX5ObmolQq2blzJyqVCh0dHeD+0ghTU1P69evH4cOH+fvf/05xcXE7p/bRq6ys\nZOPGjSQnJ7fZQO7u7k5ZWRkjRoygtLSUIUOGiPsoOrLOXiempqYSGxtLYmKi2PhrbGzE09OT8PBw\nevbsydGjR3nrrbeor6/vsCPCBQUF3Lt3T1w+qq4X8vPz6d69O9bW1qSlpbFq1aoOPUNSXl7Oc889\nx9GjR9u8rqenR3FxMS+88AJXrlwhKiqK/Pz8dkrl41VVVcXYsWNZunQp8J/ZIDMzM4KCgujRowdW\nVlYsXbqUU6dOtV9CH7OCggJGjRrFt99+22am3MXFBS0tLcaPH09FRQXvvvsu586da8eUPj53795l\nypQp7Nu3r82gsaOjI1evXmX06NHcu3ePN954g7i4uIf6TKlT1M7Uox3V1dViBX/lyhVKS0uB+3sJ\nXFxcuHbtGteuXSMvLw9vb2+gYy8ZuXnzJj4+Phw8eBC4P0JqbGyMvr4+MpkMHR0dVqxYwdGjRzvE\nCGlny29r6enp4r8TExN56aWXcHBwaLMe2NXVlUOHDrFgwQIsLCwYPHiwOGqu6e7evSuO9qWmpuLq\n6oqOjg7nz58X7/GrV69SUlLCihUrMDQ0BKBv377tlubHqbPXicXFxdy7dw9BEGhoaGDq1KkcOHBA\nHATQ1dUlOzubN954g2XLlhEaGoqenh4GBgYdZkS4qamJs2fPig2dgoICVq1aRXZ2tjiLDPcbP4sW\nLWLhwoX079+fbt26deiZoqKiIpqamkhMTKSiokJ8/e7du4SEhGBoaEhFRQWffPJJh3tOqJWVlREc\nHMz58+e5evWqOEtcWFhITU0NxcXFJCUlERcXh5GREdAxl9Hl5+cTEBBAamqqOFOifl1fX5/ExETy\n8/NJSkrCz8+vHVP66KkHPnJycrC3t6empoZr166JrxcXF2Nra0taWhoNDQ2kpKQQEhLyUJ+ttVTd\n3ZY8UUqlks8++4ykpCTs7e2xs7OjW7duODo6cvHiRQRBwNvbGwMDAz766CNOnDjB66+/Tvfu3dm2\nbRtTpkzpMA9AuB85Jy0tDXd3d5qbm0lISGDUqFGkpqYil8vx8PBAqVQSHR3NwYMHaWxspGvXrvj6\n+uLp6Ymurm57Z+F36Wz5fZCsrCzee+89Tp48SU5ODiqViueffx4XFxecnZ3ZvHkzffv2xdTUlAsX\nLlBcXMyiRYuYMWMGSUlJ6Orq4ubmprH3gUqlYsWKFezbt4/U1FT8/f3x9fVl/PjxlJeXc+3aNYyM\njLC3t6e5uZkvv/yS8PBwPvjgAxITE8nNzSUsLKy9s/HIdPY68cyZM8ydO5ecnByOHTvGiBEjcHd3\nZ9CgQZw5c4aysjICAwPR0tKioKAAmUzG4sWLmThxIkeOHMHMzAxnZ+f2zsb/TL1XKCkpibfeegul\nUsm3336Lm5sbQ4YMwc7ODisrKzZu3MiUKVMAuHHjBnZ2dvzjH/9g8ODBlJWVUVNTg6+vbzvn5tFo\namoiPj4eQRCwsLDgypUrDBgwgLNnzyIIAn5+fshkMgoKCnjvvfc4fvw4zzzzDE1NTbi4uODq6tre\nWfjDlEolW7duRaVSYWNjQ2FhIUOGDEFbW5t9+/Yxbtw44H59un79ehISEoiIiMDX15esrCz69OnT\nITqIZ8+e5cCBA1RVVeHl5UVFRQXTpk0jLS2N/Px8evTogZaWFpWVlfz73/+mrKyMxYsXU15eTnFx\nMUFBQe2dhT/s7Nmz7Ny5k/z8fAIDAwF49tlnKSws5Pr16zg7O2Nqakp1dTXvvPMOSqWSlStXcv36\ndbKysujXr99//X9InaJ2UFtby9tvv42fnx9GRkYcO3YMlUpFaGgodnZ25ObmUlhYiLm5OdbW1oSE\nhDB37lycnJzw8/NDS0sLf3//NhtONVVzczPLly8nOjoapVJJWloaFhYWTJ48GYVCQX19PbGxsQwc\nOBBzc3OuX7/OgAEDmDt3Ln5+fpw4cYIePXqIo+dPu86W398SGRmJubk5H374IYIg8PHHHzNkyBCM\njY2xsrKiqKiIEydOMHz4cPz9/Rk2bBjm5uYAeHl5ERgYqNGN4NOnT5OZmcmqVau4cOECly9fBu4v\nfzA3N+fy5ctUVVXh7u6Oq6srkyZNIjQ0FIA+ffrQs2dP9PT02jMLj0xnrxPv3r3Lpk2beOONN5g5\ncyaRkZFUVlbi5eWFoaEhjo6O7Ny5Ez8/P2xtbfH392fQoEHiSHi/fv3w8vJq51z8MervbdeuXYSH\nhzN//nxaWlr46quvGDx4MAYGBnh6enLs2DEKCwsJDQ3F29ubkJAQdHV1xU6zv79/O+fk0cjIyGDu\n3LnU1tayY8cOHBwcCAkJwdvbG0tLS/bt20dISIjYCLSzs2PRokX06dMHHR0dsaGsidT38fnz51m2\nbBkuLi5cunSJo0ePMnPmTExMTAgJCeHLL7/E2toaT09PKisr8fHxYdGiRXTt2hUdHR2MjY3x8PBo\n7+z8z9TlEBsbyxdffMGgQYPYsWMHNTU1hIeHiwMhu3btokuXLigUClQqFYMGDeLPf/4zCoUCe3t7\nTE1NcXJyau/s/E9aXwuffPIJY8aM4ccff6SwsFAcQFUoFMTGxmJsbIyjoyPm5ub069ePl19+GWNj\nY4KDg9HV1cXd3f2//v+kTtETVFpaipGREbdv3+bIkSMsW7aMoKAg6urqSE9Px8zMDIVCgaGhIZcu\nXUJXVxdvb290dXXR09Pj3r17aGtri5W+Jj78f06lUnH8+HH+9a9/8cwzz1BZWcnOnTsZPXo0Wlpa\nGBkZcenSJYqKiujRowehoaHiw9/ExIQBAwZoVAehs+X356KjoykrK8PZ2Zn4+Hhx5svFxYW8vDx+\n/PFHnn32WVpaWvD09OT777/HwcGBzMxMVCoVVlZWAGJjUNMawZcvX6apqQlTU1Oio6ORyWT0798f\nLy8viouLycrKomvXrlhZWVFXV0deXh5WVlZUVlZibm6OtrY2giBgYGCAnp4eLS0tGpX/n+vMdeLd\nu3eJjIzEzs4OCwsLfvzxR1xcXPDw8MDLy4uYmBgsLS1xcHBAoVCQn5/P9evXcXNzIyYmhoCAAPH6\n1+TOcUlJCdu2baOyshJHR0cKCgpoaGggKCiIrl27cvbsWUpLSwkKCkImk9GtWzfWrFlDUFAQe/fu\nxdraGktLS2QymbikVtPqhQeJjIzEx8eHhQsXYmVlRVRUFK6urigUCpydnUlJSeHWrVuEhYVhZ2dH\njx490NPTQ6VS4enpqdEzAw0NDejo6JCenk5lZSVvv/02gwYNYsuWLRgZGeHu7o5cLsfc3JzPP/+c\nqVOnYmlpiaenJ3B/uZytra34syaTyWRER0fj5ubGtGnTCAgIICoqCktLS+zt7cXZs3PnzjF48GAs\nLCxwcHAA7g/C2tnZaWyHCO7PlmppaXHs2DGMjY2ZOXMmgYGBnD9/ntraWtzd3bG2tqa8vJyMjAxx\noMDOzg64vxzbzMzsoTpEIHWKnohr166xdOlSYmNjyc7OZsiQIRw5cgQTExPc3d0xMjKioKCAgoIC\ngoODsba2prm5mcOHD/PJJ59QVlZGv379OsweikOHDnHs2DHq6upwcHBg+/btTJw4ET09PVxdXUlO\nTub69eviSLiVlRXHjx+noKCA9PR0PDw8NKoR0Nny+yDXr19nzpw51NbW8v3332NmZgZAcnIyw4YN\nAyA8PJzPPvsMf39/HBwcMDY2JiEhgQ8//BBDQ0NGjx79i2WDmtLwqamp4eOPP2bv3r3k5eWRlpbG\npEmT2Lt3LwMHDsTGxgZBEMjNzaWxsRFvb288PDw4ffo0mzZt4tChQ/Tv3x9ra2tkMpmYb03J/891\n9jrxxx9/5P3336e6upqMjAxKSkpwdHTkzp07+Pn5oVAoyMvLIycnRxzlDAwMZOHChfzwww84OTnR\nu3dvQHOvAYALFy7w5ptv4urqSlJSErW1tdTW1tLS0oKdnZ04wr1x40ZGjRqFvr4+FhYWbNu2jb17\n9xIaGsrw4cN/8bmaWCalpaVs2LCB4uJiHBwcqKmpITMzk8GDB+Pp6UlmZiaFhYW4ublhZGREly5d\n2L9/P8bGxmzbtg1bW1tsbGyQy+Vi/jWtc5iens6nn35KYmIi9vb2NDY2cufOHVxdXTExMRHDjvfv\n3x99fX18fHyIj4/n7Nmz/PjjjzQ0NODr69umjtREMTExLF++XFxCbWFhQXZ2Nt27d8fR0ZGysjIu\nX76Ml5cXpqam9O7dm71793Lx4kU2bNiAu7s7Dg4OGr2S4ujRoyxdupSsrCyamprw9/cnNjaWsLAw\n7O3tqaurIysrCxMTExwcHAgICOD06dPExsayfPlycbD190Ym1dwS0yCffvopAwcO5KOPPqKiooKv\nv/6aF154QTyR3cnJCU9PT6qrq7lz5w4ABw8eJCMjg1deeYXFixe3Z/IfGfUpw9HR0XTp0oVFixZR\nUlKCm5ubGGbYwMCAqVOnkpqaSllZGfr6+ty5c4fU1FSio6MJCgrC1NS0nXPycDpbfn9LfHw8QUFB\n/Pvf/2bRokXs2LGD559/nkuXLpGcnAzcjyw2adIkMRz122+/ze3bt9mzZw/vv/++ODukibKyslAq\nlezfv5958+aRmZlJfn4+QUFB7Nu3DwBvb2+MjY2pq6sD4MiRIxw8eJDx48dz4sQJunTp0p5ZeKQ6\ne52Ynp7O3//+d1atWoWPjw81NTWYmZlRVFTEhQsXABg/fjw//fQTFRUVVFVV8c477xAUFMS2bduY\nN2+exjf8AE6dOsXs2bOZP38+Y8aM4dq1awwfPpzc3FyuXbtGQ0MDfn5+uLq6smPHDgCWLl1Kjx49\niIqK4tVXX23nHDwamZmZvPLKKxgaGpKdnc3mzZupr6/HxsZGDETz3HPPkZWVJQZYcHR0pLS0lCVL\nlmBtbU3Xrl1/8bmadH2oA8kMHToUBwcHcVVBdXU1BQUFAAwbNgxBEIiKihLzplKpOHnyJOHh4Tz3\n3HPtmYVH4vz58+zZs4fXXnsNhULB0aNHKS4uRk9Pr821kJeXR2FhIXB/39W1a9e4fPkyCxcufOig\nAk+rrKwstm/fzsKFCxk4cCAxMTHk5ubi5eXFyZMngfuBhgRBEAOrKJVK4uLiKCwsZMWKFQ+1f+hB\npE7RYyQIAvn5+dja2oobxn19fdHV1cXHxwe5XC6esxEYGEhSUhJaWlrcunWLkJAQoqOjmTRpUjvn\n4tHR1tYmPT2d1157jeHDh/OXv/yFLVu2sGDBAg4dOoRSqQTuH8Lm5OREcXExJSUlfPzxx8ydO5dv\nv/2W7t27t3MuHl5ny++DqKPBuLq60qVLFwRBIDQ0FENDQ3R0dJg+fTpffvmlWLGpZ88A/vKXv7Bj\nxw6CgoIQBEGjIwjl5uYyaNAg8WcLCwsUCgX9+/fnwoULpKenY2hoiJWVlRiW3dnZmUOHDvHXv/4V\noEOEYu/MdWLrUNHl5eXi8g5jY2MyMzMZNGgQZmZmpKamolQqsbGxITAwEKVSiba2Nn/729/YuHGj\nRgdTUFOXhZOTk7jUZ+DAgaSnp+Pm5kaPHj24cOECZ8+eBSA0NFTcG/K3v/2NFYT6WXsAAB+OSURB\nVCtWYGtri0ql6hAhuC9cuMCkSZOYO3cuo0aNora2Fj8/PxobG0lPT6empgYPDw8sLCz49ttvAfjs\ns8/w9vbm+++/57XXXmvnHPxx8fHx2NraMnz4cCIiIrhw4QLh4eHY2NiQmppKXl4eALNmzeLYsWMA\nbN++nYCAAE6ePMnkyZPbM/mPzKlTp3jmmWcICgoiNDSUvLw8BgwYgJ6enri03sTEhICAADFabXR0\nNK+//jp79uyhZ8+e7ZyDP+7ChQsMGDCA7t274+3tjVwuF/fWXrp0idzcXIyMjHB2dhbD06ekpDBn\nzhx27tz5h8pAWj73GMlkMoyMjAgICBAfgOp1keqN9KtXryYsLAylUsnNmzfp06cP9vb2YiSRjqS2\nthZra2v8/PzQ09OjtLSU5uZmBgwYgFKpJCYmhlGjRmFkZMS+ffsYNWoUCoWCqVOnEhAQ0N7J/906\nW37VWu9zUf/Xzc1NXNZw5coVjh07RkREBAEBAWRmZpKSkkJiYiI//fQTffv2xd3dHUtLS+D+SGDr\nJSGaQF0G6rR7eHiI0XJaWlo4ePAgI0eOxMfHhzt37rBp0ybc3NyIiooiJCQEf39/bGxsMDIyQqVS\nIZPJOkR90BnrxHXr1qFQKDA3NxfXxw8bNkycAU5ISMDCwoLevXtjZmZGZmYmBw4cICcnh8zMTKZO\nnYq5ubl4P2gq9b2g7sTIZDJxqSzcj75XWFjIqFGjxFnCPXv2cO7cOU6cOEFERIR4T8D9+0hLS0uj\n6oVfU1hYiKenJ3Z2dtjZ2bFu3Tr+9Kc/IZPJyM7OpqioiG7dulFfX4+WlhY9evTAx8eHcePGtakj\nNKks1PeC+rpwdXXF09MTa2trDA0NOXnyJP369cPd3Z3U1FRycnLo3bs3Fy9exNjYmF69etG1a1fC\nw8M1sl5QUy9xVJeDjY0N3bt3x8DAABsbGw4ePMiECRMwNjYmNzeXxMREBg4cSGpqKn5+fvj6+hIU\nFNShwm6bm5uL2wlMTEzYu3cvo0aNwsXFhcLCQr777jtGjx7NuXPnUCgUBAUF4ePj80jKQJopeoR+\nfkaGIAhoa2ujUCjE15RKpdjg7dmzJzNnzmTXrl2sWrWKadOmYWNj80TT/Dj9fGTfyMiIgQMHYmJi\nAtxfMqCuzJYsWYKhoSHLli1j+vTpODg4YGJigiAIGrEu9kEzGR05v79Fnf7c3FxxKVhrWVlZ9O/f\nX/z5L3/5C1OnTsXY2JhPPvmEIUOGtHm/Jj7w5HI5NTU1YtoNDAzE32VlZWFubi52CmbMmMFLL71E\nbGwsffr0ISIios1naXLDrzPXieqZPaVSyapVq4D/HDoql8tpamoC7u+3Uz/Mvb29mTdvHhMnTsTK\nyoovvvgCa2vrdkj9o6OuF9X3Ql1dndgIbP37S5cuife+oaEh/fv3Z+nSpfTt25cDBw78osGjqfWk\nOr+tZ7hGjRolRopLS0tDoVBgbGxMeHg4Q4cOJTIykrfffpv169cTHBwM3J9tVn+eptURpaWl4ox4\n6zpSHWK8srISpVKJgYEB7u7uTJkyhebmZl599VW++eYb8Yw29f2kydTfm7ocPD09xe82KSkJIyMj\nDAwMCAwMZMaMGVRXVzNnzhwyMjLaPEc10a+tAFGH1ob7z0t9fX0UCgUKhYJXXnkFKysr5s2bR0pK\nCmPHjn3kiZL8Qc3NzeK/6+rqhNTU1Ae+79atW8Ibb7whCIIgVFVVCfv37xcEQRBUKtXjT+QTUlpa\nKty8eVP8+d69e+K/W+fz3r17wsyZMwWlUikIgiA0NDQItbW1Qk5OjnDu3Lknl+BH7Pr160JKSsov\nXu+o+VVrfQ/cvXtX+OCDD4QFCxYIVVVV4ustLS2CIAjCunXrhIyMDOH69evCggULhGPHjrX5LJVK\nJb5Xk7366qtCVFTUL17/6quvxHt/06ZNwq5du37xHk2vE6Q68T9aWlqEcePGCXFxcYIgtM1bc3Oz\n8OqrrwrV1dXChQsXhCVLlgjp6entldTH6uLFi8K8efOEWbNmCYIg/OIe//DDD4WMjAwhISFBmDt3\n7i/qhdbXlCb6+TX98/yrf79r1y7hyy+/FF+/e/euUF5eLpw5c0ZobGx8/Al9jNR5zM3NFVavXi1s\n2LChTXtBLTIyUli2bJkgCIJQX18vXLx4URAEQcjJyXlyiX2MWl8LDQ0Nwtdffy2cP39efE19baxc\nuVLYt2+fIAj32xaXLl0SBEEQiouLn2BqH7/8/HyhoKCgzWvqMti5c6ewfv16QRAE4erVq8LZs2cF\nQRDatC0eJc0M3fOUUffw09PT+fe//019fT2zZs1i2LBhmJmZ0dLSglwuR6VS0dTURFRUFJGRkXTt\n2pXm5maNHAn/NWvWrMHT05Nnn32WrVu3UlpaSv/+/Rk/fnybkb3Kykrc3d2xtbVl5cqVXLp0iY8/\n/lijQmiqVKo2311cXByff/45c+bM+cV7O0J+H0R9bWtpadHY2IhcLicvL4/z588zffr0Nte/ekTs\nzJkz4obRQYMGidHnAI2bKRNaLQUCuHXrlrjno2fPnuKIn/q96iUux48f5/Tp05iZmYl7hlq/R5PK\noLXW1wN0rjrx5/UB3N/3YWFhweLFi1m5ciUDBgwQv1vh/28SNjAw4L333qOqqooXX3yRbt26tUfy\nHxuVSsXy5cspLi4mPDyc5cuXc/LkSQYPHkxzczPa2trU1dWRkZHBtWvXMDY2Zvr06YSHh7f5HE28\nJlpTf++nT59m7969eHt7M3v2bHE5oLoOqaiooGvXrpw/f55NmzYxbNgwJk+eTJ8+fYAHX2dPu5/X\na7q6uuzevZuAgACmT58uvgful4Ouri7BwcEcOnSIvXv3MmHCBAIDAzX+edm6HNTfY3l5OTk5OW0C\nA6jfZ2Vlha6uLps2beLMmTP8+c9/Bmgz065p1HlraWmhpaWFdevWkZiYiIeHB88+++wvZr/UEWe/\n/vprTp48ybRp0wDECLaPmtQp+h8IgvCLxtu8efMwNDTks88+o6CggKioKGxtbenfv7/4vvLycrKz\ns4mPj2fJkiUaf4OrtbS0IAgCWlpajB07loMHD5Kfn4+FhQWDBw/myy+/pKmpiYiICPEhaGBgwMGD\nB7l06RIDBw5k/fr1GhVdTL1kAe4vE/P09KS4uJjGxkYxSpj65gc0Pr+/Rn1tHz58mM8++4yBAwfi\n6+vLjBkziI2NZcyYMWLYZPVDICwsjJqaGt58801xWVnrDoOmaN04uXfvHlVVVeLhm6NHj6a5uZmc\nnBz69OkjdgIAioqKEASB6dOn06tXL0Az8/8grevEBQsWoKur2+HrRJVKxdq1a1EoFEyePBldXV2y\nsrLw9fVlyJAhzJs3j+joaKytrdm2bRsvvviieD2o9xC9+OKL4sNek7Wu85qbm0lMTKRXr15UVVUx\na9Ysevbsia6uLsuWLWPw4MFoa2ujUqkwNDTE398fOzs7XnrppQd+niZSf8+CIFBbW8vq1atpampi\nxowZbNu2jT179jBmzJg2Z6rk5+eLQQdefPFFje8ctq77UlJSiImJYcKECbz55ptUVlZy9epVQkND\n23zPCQkJREdHM2HCBJYtW6bxBxP/fGBQqVTy+uuvs2XLFhwcHKivrycxMRFPT88210xcXBxFRUWM\nGzeOzz//XKPPKPx5GcjlcsrKysjJyWHLli1UV1eL5xDCfwYJrly5Qnx8PGPHjn0iZSAFWvgdWm/4\nlslkFBQUcPHiRVxdXdHR0eHbb7/lpZdewtnZmczMTEpLS3F0dBT3lOjr6xMSEsLMmTM1ftOsmnpU\nV72Hwt3dnZs3b5KWlsbMmTPp0aMHdnZ2rF+/nokTJ4q9/pKSEkxMTJgzZw4jR478xfkzT6P09HSy\ns7NxcXFBJpNx9uxZ3nvvPX766ScaGxsJCQmhoaGB/Px8goOD21TympjfBzl79iwmJibo6+sD9zcI\nr1q1isrKSt544w0MDAyIiooSNwXfvn0bf3//Np3I7t27M3jwYHR0dMSABJrS8GlsbKSoqAgzMzPk\ncjn19fWsXbuWffv20a1bN/r06UNaWhonTpxg3Lhx7N+/n1GjRqGlpSXm1cvLi6lTp+Lo6Ai0bTRo\nGnWd2Nq6deu4evUq/fv3Z8+ePR2+Tvz222+JiYmhoaEBOzs7UlJSiIqKwt/fHw8PD3JyckhJSeG1\n117jgw8+YPz48ejp6dHU1IS+vj4vvPCCuJ9E07W+j1NTU4mKiqKmpgYjIyMqKirw9fUlMDCQ7du3\n09TURHBwsPgM6d+/v3jgqKbVCz/XOv2NjY1oa2vT0NDAypUr6d69O5MnT8bFxYW0tDQMDQ1xc3MT\ng6lkZ2cTEBDA4sWLxVlnTesc3r59m+TkZMzNzdHX10cmk3HgwAE2b95McHAwt2/fZvjw4Vy6dInb\nt2/j5eWFgYFBm6ALwcHBvPzyyxpbL8D9Q2i1tbXF7y4lJYX4+Hjc3d0pLCwkNTUVa2trAgMDOX78\nOAMHDhQHCuRyOVZWVkRERDBq1CiN3z+lLoPk5GQSEhIwMzOjpKSEwsJCevXqhbW1NVpaWhQWFqKt\nrS3m18jIiMmTJzNy5MgnUgZSp+ghqFQq1qxZw82bN3F3d0dXV5f169ezefNmWlpa+Oabb5gzZw5x\ncXFUV1fTo0cPjI2NSUlJoampSYy6ZWBgIEba0WTFxcXExsbi6+uLXC6nuLiYJUuWkJycTEFBARMm\nTCAlJQWFQoGdnR3u7u6kpaWhUqnw8fEB7k999urVS2MqPPXSlry8PPr160djYyNbt25l3rx5dOvW\njZUrVxIaGoqZmRnXrl3DxMQEe3t7sXLTtPw+SHl5OS+//DLXr18H7m8I1dPTY+vWrVhbWzNhwgSc\nnZ2pqqriwoULDBs2jO+//55evXphbGwsfo565kjTOgMVFRXMnDmTq1evMnjwYGpra/nHP/6Bt7c3\nQUFBrFmzhpEjRzJmzBi+++47CgsLqa+vZ+jQocjlcjGv6g6BJkbVU2tdJ3bp0gUtLS2ysrLEyFEf\nffQRCxYsIDExkaqqqg5dJ/r7+4tnbtXX14sHC96+fZvAwEBCQ0P58MMPmTRpEkqlkqNHj/LMM8+I\ngwSaNvLf2s8HSW7dusW2bdsICgrCxsaGsrIySktLkclkYrQxR0dHCgoK+O6775gyZQp6enpio1+9\nhEqT6oUHUd/T+/btY+XKldy5cwe5XE5YWBh79uzh+eefx87OjqSkJJRKJeHh4WL5hIaGikcxaFrn\nsKWlhfXr17Nu3ToaGxs5cuQIqampDBgwgOTkZEaOHMlzzz0n1gdyuZycnByqq6sBsLW1BcDS0lKj\nZ4daWlo4ffo0aWlpYkjptWvXcvDgQfT09IiMjGTSpEkYGhqyf/9+6uvrcXNzw8vLCx0dHfH6d3V1\nbTN7okkqKipoaWkRB4Cbm5tZs2YNR44cwd7enm3bthEcHExsbCzOzs44OztTU1PDrl276NatG7q6\nushkMhwcHJ5ou0nqFD0E9UjgvXv3cHNzw9DQkBMnTvCvf/0LQRA4dOgQurq6TJs2jeXLlzN+/Hgc\nHR25ceMGFhYWeHp6akyl9ltUKhWbN29m8+bN+Pr64ufnR2VlJatWrWLMmDFMnz6dWbNmMXjwYLS0\ntEhPT8fCwgIHBwcOHTrE8OHDNTKSlCAIGBgYUFxcTH5+PiqVivDwcCorK8nLy2PPnj1YWVlRXV3N\nkCFDKC0t5dy5c/Tt21fsAHQEjY2NJCcnM3ToUH788UdkMhl+fn6Ym5uTkJBAnz59MDExQS6Xk5ub\nS0hICOXl5VhZWWFvb/+Lz9O0e8LAwIDTp0+Tn5+PpaUlXbp0obKykp49exIZGSl2FsPCwggNDeXO\nnTvs3LmTmTNnoqen94vP0+SG32/Njnh6epKTk8O5c+fazI50xDoR7j/s5XK5+Fzw8fFBX1+f7Oxs\nFAoF9vb2nD9/nqioKFasWIG+vj7u7u7tnew/7NcGSdauXYuFhYU4aHbr1i3kcjlGRkb88MMPHDly\nhC5dutDQ0EBBQQG9evVqE8JfE6+Lc+fO8d5773H16lX09fVxcHDg8OHDnDt3jiVLlpCSkkJcXBwR\nERFcvnyZixcv0q9fPwoLC8nJyWHYsGG/6Bxr2v5KgJ07d3Ljxg3Wr1/P0KFDCQsLEwfNkpOTuXv3\nLmFhYbS0tHD16lXq6urQ19dn8+bNGBgYEBQUpJHf/8/JZDJu3rwpRtAzNDRk+/btfP311+L3Xlxc\nzIgRI7CysuLrr78mNTWVadOmafyMkLqduG7dOlJSUkhLS8Pa2hpLS0t++OEH1q5dy+3btzl69Ciz\nZs3C0NCQ2NhYampqSExM5OLFi4wbN67dykHqFD2E1iOBSqUSJycn3Nzc2LhxIxkZGcycOZMDBw4w\nY8YMMjIyOHv2LEOHDiUgIAAfH58OcZPHxcXx17/+FV9fXxYsWCCGBZXJZJw+fRqZTMaePXsIDQ3l\nhRdewM/Pj1OnThEfH8+ZM2cwMjJi7NixGnPDx8TEiGFgDQ0NaWxs5NatW7i7u3Pjxg0UCgW9evVi\n7969fPrpp0yYMIHFixdTXl6OtrY2oaGhuLi4aPQocGvqjmFSUhImJiY888wz7Nq1i5aWFp599lkS\nEhLIzMzEz8+PuLg4bty4wYwZM+jdu7e4TEzTFBUVce7cOVxcXJDL5bS0tFBTUyPuAwkJCcHd3Z2N\nGzcyfvx4/vSnP7Fy5UqMjIywt7end+/eFBYWoqWlJR482VH83tmRI0eOMGLEiA5VJ6qpG652dnbk\n5OSgVCrp0qULFRUVpKSkkJeXh0KhwNPTU7xmOoIHDZJ07doVMzMzIiMjCQ8Px83NjcTERIqLixk8\neLC4Z2z27NlkZ2fTvXt33Nzc2jcjf0BjYyOrVq0iJiaGiIgIHBwc0NLSwsnJiaioKPEA4rS0NObO\nnYu7uzv29vb861//QqlUkpGR0WYpbWuado80NjbyxRdfMGfOHBQKBXV1dZiYmGBubk5iYiJjx45l\n8+bNBAYGYmdnx759+2hubmbixImMHDmSfv36aVyeWzt8+DBRUVFiOGkrKytu3bpFcXEx7u7unD17\nFrlcjqenJ1ZWVuzZs4devXqJs6qmpqb07NmzzXI7TaNuJ/r5+bF48WJCQkIoKyvjwIEDdOnShaSk\nJD7++GOMjY15//33UalUBAYGYmNjQ0JCAk1NTbz99tvtut9a6hQ9BPVIoJGREXFxcTg4OODt7U1y\ncjJvv/02/v7+HDx4kP379zNy5Ei6du2Kh4eHxo3y/JarV69y5swZ1q5d22ajW0FBAdnZ2Zw5c4bX\nX3+diIgIvvvuO7S0tLCzs6OpqYmXX365XXv+/4srV66wevVqbt26RXBwMKamply8eJHc3FwGDBhA\nbGwsgwcP5p133mHo0KHU19fT0NCAq6srAwcOJDQ0tMN0iOA/D+i6ujrq6+sZPXo0N2/eZNu2bbS0\ntDBhwgR27drFjRs3qKio4MUXX8TGxkbcMKqJlfyOHTt49913kcvlhIaGIpfLOX36NIIg4OvrS1JS\nEv369WPp0qUsXboUMzMzLl++THZ2NlZWVjg4OBATE8O4cePEMxc6it87O6I+b6Qj1YmtqZc5OTk5\nieeohISEcObMGYqKipg9ezZhYWHtncxH5rcGSUaPHs2ZM2coLy+nR48eXLlyhZKSEtzc3AgKCiI3\nN5dVq1ahpaWl8SPjJSUlREdHs3HjRry8vHB3d8fZ2RmZTEZ5eTlvvfUWkyZNYtGiRVhaWnL06FHC\nwsIQBIGbN2+yYcMGjR00+jktLS3i4+MxMDDA19dXPDvJw8ODbdu2ERgYSEBAAEeOHBGDMY0YMQJ7\ne/s257hpqqtXr7J69WqSkpJwc3PD1tYWW1tbrly5Ql1dHXZ2dmRmZhIaGoq1tTU//fQT9vb2uLm5\n4eHhQXh4ODo6Ohr5rFRTtxPXrFmDvr4+ZmZmdOvWjeLiYg4fPix2fJcuXYqhoSGrV69GLpcTHh5O\n37596d+/v7gUt71InaKHoH6QKxQKrl+/zq1bt1CpVFy+fBkjIyNOnz7NoEGD8PT0ZPLkyR1uVBjA\nw8ODa9euceXKFXr16kVJSYkYVUqhUGBoaIiTkxNOTk5s2bIFLy8v+vTpQ1hYmLiHQpN4e3ujr69P\nQkICJSUlODk5ERwcTFxcHIGBgeTm5mJkZERISAjLly/np59+4vnnn2fMmDEaf9jib7lw4QKJiYkk\nJSVx4cIFXnnlFfbs2YOOjg61tbWYmZnx7rvvYmNjo/ER1fz9/amqquLo0aPU19fTvXt3HBwciIyM\nZNCgQZw7dw4/Pz8aGxv5/PPP+f777xk0aBDz58/H29ubEydOcOfOHYYMGaJxhyv+N511duTXyGQy\nSkpKUCgUZGRk0NLSQq9evRg4cCAjR47sEI2+1n5rkEQQBMaPH09MTAzr1q2jubmZ+fPn4+/vj66u\nrngw6wsvvKDRHSK4Hy74q6++Qk9Pj/z8fI4fP050dDQ//PADL774IvHx8YSGhuLt7c327dtJT09n\n2LBhuLq68tVXX+Hr66vxe+rU1CHmS0tL8fHxwcDAgNraWnR1dblz5w7Xrl1j1qxZhISEYGpqyptv\nvvnAZdWaysPDAyMjI6qrqzEwMGDDhg307duX6upqVCoVNjY25ObmEh0dzblz5yguLiYiIgITE5MO\n82xQtxMvX75M7969xQBLJiYmpKWl0a1bN4qKijh48CCJiYnk5eUxbtw4LCwsnpoBM6lT9JBajwTu\n37+f4cOHY25uzqFDh7h9+zYzZ84UI+d0RDKZDEdHR7Zs2UJBQQHffPMN7u7uzJkzB19fX+rr6/nq\nq6/Yt28fXbt2ZdKkSe2d5D9EJpNhbm5OcXExVlZWXLt2jczMTLp27Yqfnx9aWlocOHCAv/3tb4SG\nhvLqq6+KkYI6MgcHB5YvX05wcDCrV6+mS5cudOvWDUdHR0aNGsWGDRvw8vLC3t7+qank/lc6OjpY\nWVmhVCrR1tYmMzMTbW1tnJycxNHd2NhYFi9eDMCECRMYNGiQOEPo4uIiRhPqKA+91jrb7MhvUSqV\nfPDBBxw6dIiioiImTZqEtbW1xt8D/82DBkl2796NIAiMGDGCESNG8Kc//QkTExMxiIKVlVWHGTjS\n1tbG2tqa7du3c/r0adzc3BAEgaqqKtLS0pg/fz6RkZFs27aN6upqXn75ZaytrTE2NkahUODs7Iy5\nuXl7Z+ORkMlkGBkZkZ6eTlVVFX5+fuIm+5iYGMLDw3FxcUFfX79DDhzL5XJMTEy4dOkSr7zyCnB/\nOVlycjL6+vrY2toyadIkWlpaMDY2ZsmSJRo5YPxb1O3ErVu30qdPH/Harq2tJS4ujldeeUUMMW9q\naso//vGPNmf5PQ1kgrqmkvxXJSUl2Nra8v777xMQEMBzzz1HTU1Nm8haHd2nn35KZGQkx44dEzeP\nq6OIFRUVYWho2GEq+ZaWFg4ePEhxcTETJ05kzpw5CILAp59+ikKh4Pjx44wYMaLDjQL/lsbGRj76\n6CMmTJhAQEDALyLInTp1iqCgoMd2sNqTdu/ePXbs2AHcnzn65z//iY+PD//85z+pqalh9+7d/PnP\nfxYbeT8/zLWjU9eJy5cvx9vbm8mTJ4tnkXU2FRUVJCcnM2TIEI0Nuf97VVRUMHz4cF544QUWLVoE\nQGZmprihXk3TIk3+XqWlpdjY2FBXVycuL3/uuefYsWMHpqam4ll2oHnhtX+vkydP8tVXXzFkyBB8\nfX3Zs2cPjY2NvPPOOx1mVuzXCILAzp07aWhoYPbs2dTX17NhwwaioqLo0qULq1at6hDnE/43a9eu\npbCwkI8++gi4v9x69uzZrFix4qkPtiXNFD2k1iOBt2/fZsKECVhbW3eah5+at7c3Z8+excfHBzs7\nO/EMBqBNaNaOQCaTYWNjw/HjxwkNDaV///5cuXJFXBrj6+ur8cs/fi+5XM6mTZsICwvD3t5efLir\nH/Rubm4d6hrQ1tbG1NSU48ePM23aNCwsLDh+/DhaWloMHDiQfv36iY0gTV8u+Ht11tmRX2NgYICX\nl1eH2kv432hpaVFeXs64ceOwtbWlpaUFW1tbnJyc2ryvo98TRkZG4rlTAFu2bEFPT4+hQ4eipaUl\nhhTu6J1DAHd3d5ycnCgqKuL48eMMGjSIt956q8PNijyIOoT0sWPHsLS0xMnJiT59+hAcHExwcDAu\nLi7tncQnwtPTkwMHDuDr6wvAwoULcXd3Z8SIEU99XSDNFP0OnXEk8EH279/P7t27iYyMbO+kPBHR\n0dGcOXOG999/nzt37nSYWZD/VUVFhUaft/R7CYLA7t27qays5LXXXiMrKws7OztxRrQzNHR+jVQn\ndm6CIDBjxgwWLlzYoZeP/zd1dXWsXr2aiooKSkpK8PHxYfbs2SgUivZOWrvq6LNivyYmJoZTp07x\n4YcftndS2s3+/ftZunQpYWFhjB07lvHjx7d3kh6K1CmS/G737t3jhx9+YOLEiZ1iZLyuro7ExESG\nDBnS4fP6e3SmB55SqWT//v28/PLLv5gZkkg6s842SPJrlEolFy5cwMHBgcDAQKBzD5h0ZlKb4X47\n8cCBA0RERGjUgJnUKZJIJBKJRPKHSIMEbUkdIolE80idIolEInlIUsNPIpFIJJKOSRrGkEgkkock\ndYgkEolEIumYpE6RRCKRSCQSiUQi6dSkTpFEIpFIJBKJRCLp1KROkUQikUgkEolEIunUpE6RRCKR\nSCQSiUQi6dSkTpFEIpFIJBKJRCLp1KROkUQikUgkEolEIunU/h+GrEaRa2uvAQAAAABJRU5ErkJg\ngg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7ffa01e39450>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "pf.plot_turnover(bt_returns, bt_transactions, bt_positions);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Likewise, the Daily Turnover Histogram gives you an overview of the distribution of the turnover of your portfolio. This shows you both the average daily turnover of your portfolio and any outlier trading days."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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AALZFoAEAAABgWy6rCwDyyTRNRSKRnI8Ph8MyZeaxIgAAAIwnAg2KSiQS0WPPvaeKCl9O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\nRK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7ffa030127d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "pf.plotting.plot_daily_turnover_hist(bt_transactions, bt_positions);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Similarly, another plot which allows you to gauge the number of transactions per day is the Daily Trading Volume plot. This shows the number of shares traded per day and displays the all-time daily trading average as well."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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aNGlSW4wHAAAAAJJKxDVNn376qT7//PO2GAsAAAAAJJ2IlaaPP/5YU6dOVU5O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\nCMINiKBJEARBEARBEAThBv4/TdfiOPPudL4AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7ffa05a975d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "pf.plotting.plot_daily_volume(bt_returns, bt_transactions);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The transaction time histogram shows you **when** the algorithm makes its trades during each day. You can specify the size of the bin (each column's width) as well as the timezone in the function's parameters."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "collapsed": false,
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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AACggmAAAAAoIJgAAgALNK/0NJk6cmNmzZ6empibjxo3LgQceWH7sxhtvzO23357a2tr0\n6NEj55xzTqWXAwAA0GgVDaYnn3wyCxYsyNSpUzN//vx8+9vfztSpU5Mkq1atyrXXXpv7778/NTU1\nOe200/L000/noIMOquSSAAAAGq2ib8l77LHHMnDgwCRJ165ds2LFiqxevTpJ0qJFi7Rs2TKrVq3K\nunXr8vrrr6dt27aVXA4AAMBWqWgw1dXVpX379uXb7dq1S11dXZK3g+n000/PwIEDM2DAgBx88MHZ\nZ599KrkcAACArbJNL/pQKpXKX69atSpXXXVV7r333tx///35/e9/n7/85S/bcjkAAAANquhnmDp2\n7Fg+o5QkS5YsSYcOHZIkzz33XPbee+/y2/B69eqVOXPmpFu3bg2+5qxZsyq34O3QzjLvggULGn3s\nnDlzsnLlygquZtvZWfZ3YzvbzOatbuatbuatbualsSoaTH379s3kyZNz/PHHZ+7cuenUqVNatWqV\nJOncuXOee+65vPnmm2nRokXmzJmTfv36bfE1e/XqVcklb1dmzZq108zbpk2b5I5FjTq2R48eWwzr\nHcHOtL8b7Gwzm7e6mbe6mbe6mbe6vdtxWNFg6tmzZw444IAMHz48tbW1GT9+fKZNm5Y2bdpk4MCB\nOe200zJixIg0b948PXv2TO/evSu5HAAAgK1S8d/DNGrUqHq3u3fvXv76+OOPz/HHH1/pJQAAALwj\n2/SiDwAAADsSwQQAAFBAMAEAABQQTAAAAAUEEwAAQAHBBAAAUEAwAQAAFBBMAAAABQQTAABAAcEE\nAABQQDABAAAUEEwAAAAFBBMAAEABwQQAAFBAMAEAABQQTAAAAAUEEwAAQAHBBAAAUEAwAQAAFBBM\nAAAABQQTAABAAcEEAABQQDABAAAUEEwAAAAFBBMAAEABwQQAAFBAMAEAABQQTAAAAAUEEwAAQAHB\nBAAAUEAwAQAAFBBMAAAABQQTAABAAcEEAABQQDABAAAUEEwAAAAFBBMAAEABwQQAAFBAMAEAABQQ\nTAAAAAUEEwAAQAHBBAAAUEAwAQAAFBBMAAAABQQTAABAAcEEAABQQDABAAAUEEwAAAAFBBMAAEAB\nwQQAAFBAMAEAABQQTAAAAAUEEwAAQAHBBAAAUEAwAQAAFBBMAAAABQQTAABAAcEEAABQQDABAAAU\nEEwAAAAFBBMAAEABwQQAAFBAMAEAABQQTAAAAAUEEwAAQAHBBAAAUEAwAQAAFBBMAAAABQQTAABA\nAcEEAABQQDABAAAUEEwAAAAFBBMAAEABwQQAAFBAMAEAABQQTAAAAAUEEwAAQAHBBAAAUEAwAQAA\nFBBMAAAABQQTAABAgeaV/gYTJ07M7NmzU1NTk3HjxuXAAw8sP7Zo0aKMGjUq69aty/77758LLrig\n0ssBAABotIqeYXryySezYMGCTJ06NRdeeGEmTJhQ7/GLLroop512Wm655ZbU1tZm0aJFlVwOAADA\nVqloMD322GMZOHBgkqRr165ZsWJFVq9enSQplUqZNWtWjjzyyCTJeeedlz333LOSywEAANgqFQ2m\nurq6tG/fvny7Xbt2qaurS5IsX748rVq1yoQJE3LiiSfm0ksvreRSAAAAtlrFP8O0sVKpVO/rJUuW\n5JRTTsn73//+fPnLX86DDz6Y/v37N/gas2bNqvQytys7y7wLFixo9LFz5szJypUrK7iabWdn2d+N\n7Wwzm7e6mbe6mbe6mZfGqmgwdezYsXxGKUmWLFmSDh06JHn7bFPnzp3zgQ98IEnSp0+fzJs3b4vB\n1KtXr8oteDsza9asnWbeNm3aJHc07jNsPXr0SLdu3Sq8osrbmfZ3g51tZvNWN/NWN/NWN/NWt3c7\nDiv6lry+fftm+vTpSZK5c+emU6dOadWqVZKktrY2H/jAB/LCCy+UH+/SpUsllwMAALBVKnqGqWfP\nnjnggAMyfPjw1NbWZvz48Zk2bVratGmTgQMHZty4cRk7dmxKpVK6detWvgAEAADA9qDin2EaNWpU\nvdvdu3cvf/3BD34wN910U6WXAAAA8I5U9C15AAAAOzLBBAAAUEAwAQAAFBBMAAAABQQTAABAAcEE\nAABQQDABAAAUEEwAAAAFBBMAAEABwQQAAFBAMAEAABQQTAAAAAUEEwAAQAHBBAAAUEAwAQAAFBBM\nAAAABQQTAABAgeaNOeiNN97Iww8/nNdeey2lUql8/2c/+9mKLQwAAKCpNSqYvvjFL6ampiadO3eu\nd79gAgAAqlmjgunvf/97pk6dWum1AAAAbFca9RmmfffdN6+88kql1wIAALBdadQZpkWLFmXQoEHp\n2rVramtry/ffeOONFVsYAABAU2tUMH35y1+u9DoAAAC2O416S97HP/7xNGvWLHPnzs0zzzyTXXbZ\nJR//+McrvTYAAIAm1ahg+v73v5+LL744S5YsyeLFi3PhhRfm6quvrvTaAAAAmlSj3pL3u9/9LlOn\nTk2zZm/31bp163LSSSflK1/5SkUXBwAA0JQadYZp/fr15VhKkubNm6empqZiiwIAANgeNOoMU48e\nPfLv//7v+eQnP5kkefTRR3PggQdWdGEAAABNrVHBNG7cuNx9992ZPXt2ampq8ulPfzpDhw6t9NoA\nAACaVIPBtGTJknTs2DEvvvhiDjrooBx00EHlx/72t79l7733rvgCAQAAmkqDwTRp0qRccsklOfnk\nk1NTU5NSqVTvv++///5ttU4AAIBtrsFguuSSS5Ik11xzTbp27VrvsaeeeqpyqwIAANgONHiVvBUr\nVuSFF17IuHHjsnDhwvJ/nnvuuYwdO3ZbrREAAKBJNHiG6amnnsr111+fZ599NieffHL5/mbNmuXQ\nQw+t+OIAAACaUoPB1L9///Tv3z833nhjPv/5z2+rNQEAAGwXGvWLa+++++5KrwMAAGC706jfw7T/\n/vvn+9//fnr27JlddtmlfH+fPn0qtjAAAICm1qhgevbZZ5MkM2fOLN9XU1MjmAAAgKrWqGCaMmVK\npdcBAACw3WnUZ5jmz5+fkSNH5uCDD06vXr1y2mmn5YUXXqj02gAAAJpUo4LpP//zP/OFL3whjzzy\nSB566KEMHz48559/fqXXBgAA0KQaFUylUimHH354WrVqldatW+eoo47KW2+9Vem1AQAANKlGBdPf\n//73zJ07t3z76aefFkwAAEDVa9RFH8aMGZPRo0dn2bJlSZKOHTtm0qRJFV0YAABAU2tUMH3kIx/J\nPffck5UrV6ampia77bZbpdcFAADQ5BoVTPPmzcsVV1yRefPmpaamJt27d8/pp5+eLl26VHp9AAAA\nTaZRn2EaO3Zs+vXrl8mTJ+eKK67IIYcckjFjxlR6bQAAAE2qUWeYdt1113z2s58t3+7atWumT59e\nsUUBAABsDxp1humQQw7Jr3/966xduzarV6/O/fffn4MPPjilUinr16+v9BoBAACaRKPOMF111VWb\nvYz4lVdemZqamjz77LPv+sIAAACaWqOCaePfwQQAALCzaFQwrV69Otddd13++Mc/pqamJj179szI\nkSPznve8p9LrAwAAaDKN+gzTeeedl1WrVmX48OE5/vjjs3Tp0px77rmVXhsAAECTatQZprq6ulx6\n6aXl20cccURGjBhRsUUBAABsDxp1hmnt2rVZu3Zt+faaNWvyxhtvVGxRAAAA24NGnWE64YQTMnTo\n0PTo0SPJ2xeBOPPMMyu6MAAAgKbWqGD67Gc/m759+2bu3LmpqanJeeedl06dOlV6bQAAAE2qUcF0\nxhln5Iorrshee+1V6fUAAABsNxoVTB/84Afz85//PD179kyLFi3K9++9994VWxgAAEBTa1Qw3XXX\nXampqUmpVCrfV1NTk/vvv79iCwMAAGhqDQbTqlWrctVVV6Vbt27p3bt3Tj755Oyyyy7bam0AAABN\nqsHLil9wwQVJ3r5K3vz583PVVVdtizUBAABsFxo8w/Tiiy/me9/7XpKkX79+OeWUU7bFmgAAALYL\nDZ5hat78//VUbW1txRcDAACwPWkwmGpqahq8DQAAUM0afEveU089lcMPP7x8e9myZTn88MNTKpVS\nU1OTGTNmVHh5AAAATafBYLrnnnu21ToAAAC2Ow0GU+fOnbfVOgAAALY7DX6GCQAAYGcmmAAAAAoI\nJgAAgAKCCQAAoIBgAgAAKCCYAAAACggmAACAAoIJAACggGACAAAoIJgAAAAKCCYAAIACggkAAKBA\nxYNp4sSJGT58eD73uc/lj3/842aPueSSSzJixIhKLwUAAGCrVDSYnnzyySxYsCBTp07NhRdemAkT\nJmxyzPz58zNz5szU1NRUcikAAABbraLB9Nhjj2XgwIFJkq5du2bFihVZvXp1vWMmTZqU0aNHV3IZ\nAAAA70hFg6muri7t27cv327Xrl3q6urKt6dNm5Y+ffpkr732quQyAAAA3pHm2/KblUql8tevvfZa\nbr311vz4xz/OSy+9VO+xhsyaNatSy9su7SzzLliwoNHHzpkzJytXrqzgaradnWV/N7azzWze6mbe\n6mbe6mZeGquiwdSxY8d6Z5SWLFmSDh06JEkef/zxLFu2LCeeeGLeeOONLFy4MBdddFHGjh3b4Gv2\n6tWrkkversyaNWunmbdNmzbJHYsadWyPHj3SrVu3Cq+o8nam/d1gZ5vZvNXNvNXNvNXNvNXt3Y7D\nir4lr2/fvpk+fXqSZO7cuenUqVNatWqVJBk8eHBuv/32TJ06NZMnT87++++/xVgCAADYlip6hqln\nz5454IADMnz48NTW1mb8+PGZNm1a2rRpU74YBAAAwPaq4p9hGjVqVL3b3bt33+SYzp0753/+538q\nvRQAAICtUvFfXAsAALCjEkwAAAAFBBMAAEABwQQAAFBAMAEAABQQTAAAAAUEEwAAQAHBBAAAUEAw\nAQAAFBBMAAAABQQTAABAAcEEAABQQDABAAAUEEwAAAAFBBMAAEABwQQAAFBAMAEAABQQTAAAAAUE\nEwAAQAHBBAAAUEAwAQAAFBBMAAAABQQTAABAAcEEAABQQDABAAAUEEwAAAAFBBMAAEABwQQAAFBA\nMAEAABQQTAAAAAUEEwAAQAHBBAAAUEAwAQAAFBBMAAAABQQTAABAAcEEAABQQDABAAAUEEwAAAAF\nBBMAAEABwQQAAFBAMAEAABQQTAAAAAUEEwAAQAHBBAAAUEAwAQAAFBBMAAAABQQTAABAAcEEAABQ\nQDABAAAUEEwAAAAFBBMAAEABwQQAAFBAMAEAABQQTAAAAAUEEwAAQAHBBAAAUEAwAQAAFBBMAAAA\nBQQTAABAAcEEAABQQDABAAAUEEwAAAAFBBMAAEABwQQAAFBAMAEAABQQTAAAAAUEEwAAQAHBBAAA\nUEAwAQAAFBBMAAAABQQTAABAAcEEAABQQDABAAAUEEwAAAAFBBMAAEABwQQAAFBAMAEAABQQTAAA\nAAUEEwAAQAHBBAAAUKB5pb/BxIkTM3v27NTU1GTcuHE58MADy489/vjjueyyy1JbW5suXbpkwoQJ\nlV4OAABAo1X0DNOTTz6ZBQsWZOrUqbnwwgs3CaLzzz8/V1xxRW666aasWrUqDz30UCWXAwAAsFUq\nGkyPPfZYBg4cmCTp2rVrVqxYkdWrV5cf/8UvfpFOnTolSdq3b59XX321kssBAADYKhUNprq6urRv\n3758u127dqmrqyvf3m233ZIkS5YsyaOPPpr+/ftXcjkAAABbZZte9KFUKm1y37Jly/LVr341F1xw\nQdq2bbstlwMAANCgmtLmKuZdMnny5HTs2DHHH398kmTgwIG57bbb0qpVqyTJqlWrMnLkyIwePTp9\n+/bd4uvNmjWrUkuliS1YsCBX3rEou7Xr3OBxq155MacfvWf22WefbbQyAAB2NL169XrXXquiV8nr\n27dvJk+enOOPPz5z585Np06dyrGUJBdddFFOPfXURsXSBu/m8Nu7WbNm7TTztmnTJrljUaOO7dGj\nR7p161bhFVXezrS/G+xsM5u3upm3upm3upm3ur3bJ1kqGkw9e/bMAQcckOHDh6e2tjbjx4/PtGnT\n0qZNmxx66KG57bbb8sILL+SWW25JTU1NjjnmmBx33HGVXBIAAECjVfz3MI0aNare7e7du5e/fvrp\npyv97QEEoRb8AAANC0lEQVQAAN6xbXrRBwAAgB2JYAIAACggmAAAAAoIJgAAgAKCCQAAoIBgAgAA\nKCCYAAAACggmAACAAoIJAACggGACAAAoIJgAAAAKCCYAAIACggkAAKCAYAIAACggmAAAAAoIJgAA\ngAKCCQAAoIBgAgAAKCCYAAAACggmAACAAoIJAACggGACAAAoIJgAAAAKCCYAAIACggkAAKCAYAIA\nACggmAAAAAoIJgAAgAKCCQAAoIBgAgAAKCCYAAAACggmAACAAoIJAACggGACAAAoIJgAAAAKCCYA\nAIACggkAAKCAYAIAACggmAAAAAoIJgAAgAKCCQAAoIBgAgAAKCCYAAAACggmAACAAoIJAACggGAC\nAAAoIJgAAAAKCCYAAIACggkAAKCAYAIAACggmAAAAAoIJgAAgAKCCQAAoIBgAgAAKCCYAAAACggm\nAACAAoIJAACggGACAAAoIJgAAAAKCCYAAIACggkAAKCAYAIAACggmAAAAAoIJgAAgAKCCQAAoIBg\nAgAAKCCYAAAACggmAACAAoIJAACggGACAAAoIJgAAAAKCCYAAIACggkAAKCAYAIAACggmAAAAAoI\nJgAAgALNm3oBsDVK69fn+eefb9SxXbt2TW1tbYVXBABANRNM7FDWrlya8f9dl1Zt5zd43JrXlmTK\nxBPTrVu3bbQyAACqkWBih9Oqbcfs1q5zUy8DAICdgM8wAQAAFBBMAAAABSr+lryJEydm9uzZqamp\nybhx43LggQeWH3v00Udz2WWXpba2Nv369cvXvva1Si8HAACg0Sp6hunJJ5/MggULMnXq1Fx44YWZ\nMGFCvccnTJiQyZMn5+abb85vf/vbzJ/f8Af5AQAAtqWKnmF67LHHMnDgwCRvX+J5xYoVWb16dVq3\nbp2FCxfmfe97Xzp16pQk6d+/fx5//PF07dq1kktiJ9HYy4+/9dZbSdKoy4+7TDkAwM6nosFUV1eX\nHj16lG+3a9cudXV1ad26derq6tK+ffvyY+3bt8/ChQu3+Jp/+ctfKrLW7dGCBQvSpk2bpl7GNvH8\n889nzWtLtnjc2pXLk9Rs8bjlL/053/zeM3nPbu0bPO61xc+lZev3bfG411ctz/939mfSpUuXLX7v\nxtqZ9neDnW1m81Y381Y381Y387I1tullxUul0jt6bGMrV658t5az3dtnn312mnn32GOPXDXumEYc\n+YlGvmJjj9s67+Z+7Ez7u8HONrN5q5t5q5t5q5t52RoVDaaOHTumrq6ufHvJkiXp0KFD+bGlS5eW\nH1u8eHE6duzY4Ov16tWrMgsFAADYjIpe9KFv376ZPn16kmTu3Lnp1KlTWrVqlSTp3LlzVq9enZde\neinr1q3LjBkzcuihh1ZyOQAAAFulptTY98K9Q5deemmeeOKJ1NbWZvz48XnmmWfSpk2bDBw4MDNn\nzsz3vve9JMmQIUNyyimnVHIpAAAAW6XiwQQAALCjquhb8gAAAHZkggkAAKCAYAIAACjQ5ME0ceLE\nDB8+PJ/73OcyZ86cPPfccznppJMyYsSIjB8/PuvXr693/Ouvv56zzjorI0aMyAknnJAZM2YkSRYt\nWpQRI0bkpJNOyv/5P/8nf//735tgmi3705/+lKOOOio33nhjksate+Of0R//+MdGP297sLXz7uj7\nm2w6c5Jcf/316dGjR9auXbvZ51TTHicNz7uj7/E/zvvyyy/n1FNPzYgRI/KFL3why5Yt2+Q51bS/\nW5q32vb3qaeeyoknnpiRI0fmS1/6Ul555ZVNnlNN+7uleattfzd4+OGHs99++232OdW0vxsUzVtt\n+3vOOefkmGOOyciRIzNy5Mg8+OCDmzynmvZ3S/Pu6PubbDrzunXrMnr06Bx33HE59dRTN/u7pt6V\nPS41oSeeeKL0la98pVQqlUrz5s0rnXDCCaWvfvWrpYcffrhUKpVKkydPLt1xxx31nnPnnXeWfvSj\nH5VKpVLpxRdfLA0aNKhUKpVKY8eOLU2fPr1UKpVKl156aenmm2/eVmM02po1a0qnnHJK6fzzzy/d\ncMMNpVJpy+ve3M+oMc/bHryTeXfk/S2VNj/ztGnTSldccUXpiCOOKK1Zs2aT51TbHm9p3h15jzc3\n75gxY0p33XVXqVQqlW644YbSxRdfXO851ba/W5q32vb3zDPPLP3tb38rlUql0pVXXlm6+uqr6z2n\n2vZ3S/NW2/6WSqXSG2+8UTrppJNKhx122CbPqbb9LZUanrfa9nfs2LGlGTNmFD6n2vZ3S/PuyPtb\nKm1+5htvvLE0YcKEUqlUKt1yyy2l3/zmN/We827tcZOeYXrssccycODAJEnXrl3z2muv5X//939z\n4IEHJkk++clP5pFHHkmSjBo1Km+++WaGDRuW0047LUny0ksvZa+99kqSPPHEEzniiCOSJEcccUQe\nffTRbT3OFrVs2TJXX3119thjj/J9ResePXp03nzzzU1+RitWrMiqVauqbt5q2N9k8zMPHjw4p59+\n+ibHVuseb2neHXmPNzfv+eefn8GDBydJ2rdvn9deey1J9e5v0bzV8Gd4c/Nefvnl6dy5c0qlUpYs\nWZI999wzSfXub9G81bq/SfLDH/4wI0aMyC677FK+r1r3N2l43mrc382p5v3dnGrY32TzMz/wwAM5\n5phjkiTHHXdceY53e4+bNJjq6urSvn378u327dvnwx/+cB544IEkbwfVhrd7XHrppWnRokX52OHD\nh+db3/pWxo0bl+Tt04wb/vDvvvvuWbp06bYao9GaNWtWb4YkWbt27WbXfckll6RFixab/RnV1dVV\n3bzVsL/J5mfeddddN3tste7xlubdYEfc46J5mzVrlvXr1+emm27K0UcfnaS693dz81bDn+HNzZu8\n/falIUOGZNmyZfn0pz+dpHr3N9n8vNW6v88//3zmzZuXQYMGpbTRb1mp1v3d0rwbVMv+JskNN9yQ\nk08+OaNHj86rr76apHr3N2l43g12xP1NNj/ziy++mAcffDAjRozI6NGjs2LFiiTv/h43+WeYNlYq\nlTJy5MjceeedOe200/LGG2/U+wO9salTp+aqq67K2WefXX7uxq+zI2rMujd3TDXOW43721jVtMcN\nqaY9Xr9+fb75zW/mkEMOySGHHNLgsdWwv42Zt5r297DDDsv06dPTpUuXXH311Q0eWw3725h5q2V/\nJ02alLFjxzb6+B19fxs7b7Xs72c+85mMHj06119/fbp3754rr7yyweN39P1t7LzVsr/J2+vt2rVr\npkyZkn333Tc//OEPt3h8Y+77R00aTB07dkxdXV359pIlS7L//vvnmmuuybXXXpt99903nTt3rvec\nOXPm5OWXX06S7Lffflm/fn2WL1+e1q1b580330ySLF68OB07dtx2g/z/sKV1b+5n1LFjx7Rq1aoq\n5622/d1YTU3NZu+vtj3eoGjeatzjc845J126dMnXv/71TR6rxv1taN5q29977723/PWgQYPy+9//\nvt7j1ba/W5q3mvZ38eLFef755zNq1KiccMIJWbp0aUaMGFHvmGra38bMW037mySHHHJI+eIWAwYM\nyF/+8pd6j1fT/iZbnrfa9jdJ9thjj3zsYx9Lkhx66KGZP39+vcffrT1u0mDq27dvpk+fniSZO3du\nOnXqlB//+Md56KGHkiS33npr+f2FG8ycOTM/+clPkrz9lr41a9akffv26dOnT+65554kyfTp03PY\nYYdtw0neuT59+pR/Bptb9z/+jDZs8paet73a0rqrbX83ViqVNvuvGNW2xxsUzVtte3zbbbelRYsW\n+cY3vrHZx6ttf7c0b7Xt7w9+8IP86U9/SpI8/fTT6dKlS73Hq21/tzRvNe1vp06dMn369EydOjU/\n/elP06FDh0yZMqXeMdW0v42Zt5r2N0nOOOOM/PnPf06SPPnkk+nWrVu9x6tpf5Mtz1tt+5sk/fr1\nK3fD3LlzK/b/0TWlJj73dumll+aJJ55IbW1txo8fnxYtWmTMmDFZt25dPvGJT2TMmDFJ3v7A6UUX\nXZRSqZRx48Zl0aJFeeONN3L66aenf//+Wbp0acaMGZM333wz73//+zNx4sTU1tY25WibmD17ds49\n99wsX748tbW1adu2ba699tqMHTt2k3VvmLdFixab/Iy6d+9etfPuyPubbH7m3r17Z+bMmfnrX/+a\nffbZJ717984FF1xQtXu8pXl35D3e3Lzr169Py5Yt07p169TU1GTffffN+PHjq3Z/tzRvte3vhAkT\n8t3vfje77LJLWrZsmYsvvjjt27ev2v3d0rzVtr833HBD2rZtm+Ttf5G///77k6Rq93dL81bb/p5x\nxhn5r//6r7Ru3TqtW7fOd7/73ar+87uleXfk/U2K/145YcKELF26NK1bt86kSZMqssdNHkwAAADb\nq+3qog8AAADbE8EEAABQQDABAAAUEEwAAAAFBBMAAEABwQQAAFBAMAEAABT4v6t4XJcRfL1HAAAA\nAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7ffa05a97b50>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "pf.plotting.plot_txn_time_hist(bt_transactions);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Round Trip Plots\n",
    "\n",
    "When evaluating the performance of an investment strategy, it is helpful to quantify the frequency, duration, and profitability of its independent bets, or \"round trip\" trades. A round trip trade is when a new long or short position is opened and later completely or partially closed out.\n",
    "\n",
    "The intent of the round trip tearsheet is to differentiate strategies that profited off of a few lucky trades from strategies that profited repeatedly off of genuine alpha. Breaking down round trip profitability by traded name and sector can also inform universe selection and identify exposure risks. For example, even if your equity curve looks robust, if only two securities in your universe of fifteen names contributed to overall profitability, you may have reason to question the logic of your strategy.\n",
    "\n",
    "To identify round trips, pyfolio reconstructs the complete portfolio based on the transactions that you pass in. When you make a trade, pyfolio checks if shares are already present in your portfolio purchased at a certain price. If there are, we compute the Profit and Loss (P&L), returns and duration of that round trip. In calculating round trips, pyfolio also appends position-closing transactions at the last timestamp in the positions data. This closing transaction will cause the P&L from any open positions to realized as completed round trips.\n",
    "\n",
    "Before the round trip plots, there is a table of summary statistics which provide useful information about the strategy. For instance, the `Percent profitable` statistic shows the percentage of all trades which are profitable. This allows us to calculate the probability of the strategy making a profitable decision. This probability is also reflected in the round trip plots. A quick check of this plot tells us if our strategy is performing better than chance. In addition, the `PnL stats` also break down our average net profit for each trade and allow us to see how much of a role our short side trades play versus our long side trades in contributing to our total profit. These statistics give you a quick overview of the profitability of the strategy.\n",
    "\n",
    "**Note**: These plots are not included by default in the `create_full_tear_sheet()` function. In order to plot the round trip plots, you have pass in `round_trips=True` as a parameter to the function."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The easiest way to run the analysis is to call `pf.create_round_trip_tear_sheet()`. Passing in a sector map is optional."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "collapsed": false,
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/usr/local/lib/python2.7/dist-packages/pyfolio/round_trips.py:211: UserWarning: Negative price detected, ignoring forround-trip.\n",
      "  warnings.warn('Negative price detected, ignoring for'\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>Summary stats</th>\n",
       "      <th>All trades</th>\n",
       "      <th>Short trades</th>\n",
       "      <th>Long trades</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Total number of round_trips</th>\n",
       "      <td>30776.00</td>\n",
       "      <td>15939.00</td>\n",
       "      <td>14837.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Percent profitable</th>\n",
       "      <td>0.50</td>\n",
       "      <td>0.39</td>\n",
       "      <td>0.63</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Winning round_trips</th>\n",
       "      <td>15440.00</td>\n",
       "      <td>6140.00</td>\n",
       "      <td>9300.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Losing round_trips</th>\n",
       "      <td>15336.00</td>\n",
       "      <td>9799.00</td>\n",
       "      <td>5537.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Even round_trips</th>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Summary stats                All trades  Short trades  Long trades\n",
       "Total number of round_trips    30776.00      15939.00     14837.00\n",
       "Percent profitable                 0.50          0.39         0.63\n",
       "Winning round_trips            15440.00       6140.00      9300.00\n",
       "Losing round_trips             15336.00       9799.00      5537.00\n",
       "Even round_trips                   0.00          0.00         0.00"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>PnL stats</th>\n",
       "      <th>All trades</th>\n",
       "      <th>Short trades</th>\n",
       "      <th>Long trades</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Total profit</th>\n",
       "      <td>$21301.65</td>\n",
       "      <td>$-40678.32</td>\n",
       "      <td>$61979.97</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Gross profit</th>\n",
       "      <td>$360298.83</td>\n",
       "      <td>$141049.77</td>\n",
       "      <td>$219249.06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Gross loss</th>\n",
       "      <td>$-338997.17</td>\n",
       "      <td>$-181728.08</td>\n",
       "      <td>$-157269.09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Profit factor</th>\n",
       "      <td>$1.06</td>\n",
       "      <td>$0.78</td>\n",
       "      <td>$1.39</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Avg. trade net profit</th>\n",
       "      <td>$0.69</td>\n",
       "      <td>$-2.55</td>\n",
       "      <td>$4.18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Avg. winning trade</th>\n",
       "      <td>$23.34</td>\n",
       "      <td>$22.97</td>\n",
       "      <td>$23.58</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Avg. losing trade</th>\n",
       "      <td>$-22.10</td>\n",
       "      <td>$-18.55</td>\n",
       "      <td>$-28.40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ratio Avg. Win:Avg. Loss</th>\n",
       "      <td>$1.06</td>\n",
       "      <td>$1.24</td>\n",
       "      <td>$0.83</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Largest winning trade</th>\n",
       "      <td>$1864.24</td>\n",
       "      <td>$1864.24</td>\n",
       "      <td>$1227.73</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Largest losing trade</th>\n",
       "      <td>$-1959.84</td>\n",
       "      <td>$-1952.77</td>\n",
       "      <td>$-1959.84</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "PnL stats                 All trades  Short trades  Long trades\n",
       "Total profit               $21301.65    $-40678.32    $61979.97\n",
       "Gross profit              $360298.83    $141049.77   $219249.06\n",
       "Gross loss               $-338997.17   $-181728.08  $-157269.09\n",
       "Profit factor                  $1.06         $0.78        $1.39\n",
       "Avg. trade net profit          $0.69        $-2.55        $4.18\n",
       "Avg. winning trade            $23.34        $22.97       $23.58\n",
       "Avg. losing trade            $-22.10       $-18.55      $-28.40\n",
       "Ratio Avg. Win:Avg. Loss       $1.06         $1.24        $0.83\n",
       "Largest winning trade       $1864.24      $1864.24     $1227.73\n",
       "Largest losing trade       $-1959.84     $-1952.77    $-1959.84"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>Duration stats</th>\n",
       "      <th>All trades</th>\n",
       "      <th>Short trades</th>\n",
       "      <th>Long trades</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Avg duration</th>\n",
       "      <td>19 days 01:26:31.028073</td>\n",
       "      <td>22 days 03:14:09.988518</td>\n",
       "      <td>15 days 18:10:00.573768</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Median duration</th>\n",
       "      <td>13 days 00:00:00</td>\n",
       "      <td>15 days 00:00:00</td>\n",
       "      <td>11 days 23:00:00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Duration stats               All trades            Short trades  \\\n",
       "Avg duration    19 days 01:26:31.028073 22 days 03:14:09.988518   \n",
       "Median duration        13 days 00:00:00        15 days 00:00:00   \n",
       "\n",
       "Duration stats              Long trades  \n",
       "Avg duration    15 days 18:10:00.573768  \n",
       "Median duration        11 days 23:00:00  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>Return stats</th>\n",
       "      <th>All trades</th>\n",
       "      <th>Short trades</th>\n",
       "      <th>Long trades</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Avg returns all round_trips</th>\n",
       "      <td>0.00%</td>\n",
       "      <td>-0.00%</td>\n",
       "      <td>0.00%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Avg returns winning</th>\n",
       "      <td>0.00%</td>\n",
       "      <td>0.00%</td>\n",
       "      <td>0.00%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Avg returns losing</th>\n",
       "      <td>-0.00%</td>\n",
       "      <td>-0.00%</td>\n",
       "      <td>-0.00%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Median returns all round_trips</th>\n",
       "      <td>0.00%</td>\n",
       "      <td>-0.00%</td>\n",
       "      <td>0.00%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Median returns winning</th>\n",
       "      <td>0.00%</td>\n",
       "      <td>0.00%</td>\n",
       "      <td>0.00%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Median returns losing</th>\n",
       "      <td>-0.00%</td>\n",
       "      <td>-0.00%</td>\n",
       "      <td>-0.00%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Largest winning trade</th>\n",
       "      <td>0.18%</td>\n",
       "      <td>0.18%</td>\n",
       "      <td>0.12%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Largest losing trade</th>\n",
       "      <td>-0.19%</td>\n",
       "      <td>-0.19%</td>\n",
       "      <td>-0.19%</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Return stats                    All trades  Short trades  Long trades\n",
       "Avg returns all round_trips          0.00%        -0.00%        0.00%\n",
       "Avg returns winning                  0.00%         0.00%        0.00%\n",
       "Avg returns losing                  -0.00%        -0.00%       -0.00%\n",
       "Median returns all round_trips       0.00%        -0.00%        0.00%\n",
       "Median returns winning               0.00%         0.00%        0.00%\n",
       "Median returns losing               -0.00%        -0.00%       -0.00%\n",
       "Largest winning trade                0.18%         0.18%        0.12%\n",
       "Largest losing trade                -0.19%        -0.19%       -0.19%"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>Symbol stats</th>\n",
       "      <th>A-24757</th>\n",
       "      <th>AAPL-24</th>\n",
       "      <th>ABBV-43694</th>\n",
       "      <th>ABC-22954</th>\n",
       "      <th>ABT-62</th>\n",
       "      <th>ACI-88</th>\n",
       "      <th>ACN-25555</th>\n",
       "      <th>ADBE-114</th>\n",
       "      <th>ADI-122</th>\n",
       "      <th>ADM-128</th>\n",
       "      <th>...</th>\n",
       "      <th>XLNX-8344</th>\n",
       "      <th>XOM-8347</th>\n",
       "      <th>XRAY-8352</th>\n",
       "      <th>XRX-8354</th>\n",
       "      <th>XYL-42023</th>\n",
       "      <th>YHOO-14848</th>\n",
       "      <th>YUM-17787</th>\n",
       "      <th>ZION-8399</th>\n",
       "      <th>ZLC-10069</th>\n",
       "      <th>ZNGA-42277</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Avg returns all round_trips</th>\n",
       "      <td>0.00%</td>\n",
       "      <td>0.00%</td>\n",
       "      <td>-0.00%</td>\n",
       "      <td>0.00%</td>\n",
       "      <td>0.00%</td>\n",
       "      <td>0.00%</td>\n",
       "      <td>-0.00%</td>\n",
       "      <td>0.00%</td>\n",
       "      <td>0.00%</td>\n",
       "      <td>0.00%</td>\n",
       "      <td>...</td>\n",
       "      <td>0.00%</td>\n",
       "      <td>-0.00%</td>\n",
       "      <td>-0.00%</td>\n",
       "      <td>-0.00%</td>\n",
       "      <td>0.00%</td>\n",
       "      <td>-0.00%</td>\n",
       "      <td>-0.00%</td>\n",
       "      <td>0.00%</td>\n",
       "      <td>0.00%</td>\n",
       "      <td>-0.00%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Avg returns winning</th>\n",
       "      <td>0.00%</td>\n",
       "      <td>0.00%</td>\n",
       "      <td>0.00%</td>\n",
       "      <td>0.00%</td>\n",
       "      <td>0.00%</td>\n",
       "      <td>0.00%</td>\n",
       "      <td>0.00%</td>\n",
       "      <td>0.00%</td>\n",
       "      <td>0.00%</td>\n",
       "      <td>0.00%</td>\n",
       "      <td>...</td>\n",
       "      <td>0.00%</td>\n",
       "      <td>0.00%</td>\n",
       "      <td>0.00%</td>\n",
       "      <td>0.00%</td>\n",
       "      <td>0.00%</td>\n",
       "      <td>0.00%</td>\n",
       "      <td>0.00%</td>\n",
       "      <td>0.00%</td>\n",
       "      <td>0.01%</td>\n",
       "      <td>0.00%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Avg returns losing</th>\n",
       "      <td>-0.00%</td>\n",
       "      <td>-0.00%</td>\n",
       "      <td>-0.00%</td>\n",
       "      <td>-0.00%</td>\n",
       "      <td>-0.00%</td>\n",
       "      <td>-0.00%</td>\n",
       "      <td>-0.00%</td>\n",
       "      <td>-0.00%</td>\n",
       "      <td>-0.00%</td>\n",
       "      <td>-0.00%</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.00%</td>\n",
       "      <td>-0.00%</td>\n",
       "      <td>-0.00%</td>\n",
       "      <td>-0.00%</td>\n",
       "      <td>-0.00%</td>\n",
       "      <td>-0.00%</td>\n",
       "      <td>-0.00%</td>\n",
       "      <td>-0.00%</td>\n",
       "      <td>-0.00%</td>\n",
       "      <td>-0.01%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Median returns all round_trips</th>\n",
       "      <td>-0.00%</td>\n",
       "      <td>0.00%</td>\n",
       "      <td>0.00%</td>\n",
       "      <td>0.00%</td>\n",
       "      <td>0.00%</td>\n",
       "      <td>0.00%</td>\n",
       "      <td>-0.00%</td>\n",
       "      <td>0.00%</td>\n",
       "      <td>0.00%</td>\n",
       "      <td>-0.00%</td>\n",
       "      <td>...</td>\n",
       "      <td>0.00%</td>\n",
       "      <td>-0.00%</td>\n",
       "      <td>-0.00%</td>\n",
       "      <td>-0.00%</td>\n",
       "      <td>0.00%</td>\n",
       "      <td>-0.00%</td>\n",
       "      <td>-0.00%</td>\n",
       "      <td>0.00%</td>\n",
       "      <td>-0.00%</td>\n",
       "      <td>-0.00%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Median returns winning</th>\n",
       "      <td>0.00%</td>\n",
       "      <td>0.00%</td>\n",
       "      <td>0.00%</td>\n",
       "      <td>0.00%</td>\n",
       "      <td>0.00%</td>\n",
       "      <td>0.00%</td>\n",
       "      <td>0.00%</td>\n",
       "      <td>0.00%</td>\n",
       "      <td>0.00%</td>\n",
       "      <td>0.00%</td>\n",
       "      <td>...</td>\n",
       "      <td>0.00%</td>\n",
       "      <td>0.00%</td>\n",
       "      <td>0.00%</td>\n",
       "      <td>0.00%</td>\n",
       "      <td>0.00%</td>\n",
       "      <td>0.00%</td>\n",
       "      <td>0.00%</td>\n",
       "      <td>0.00%</td>\n",
       "      <td>0.01%</td>\n",
       "      <td>0.00%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Median returns losing</th>\n",
       "      <td>-0.00%</td>\n",
       "      <td>-0.00%</td>\n",
       "      <td>-0.00%</td>\n",
       "      <td>-0.00%</td>\n",
       "      <td>-0.00%</td>\n",
       "      <td>-0.00%</td>\n",
       "      <td>-0.00%</td>\n",
       "      <td>-0.00%</td>\n",
       "      <td>-0.00%</td>\n",
       "      <td>-0.00%</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.00%</td>\n",
       "      <td>-0.00%</td>\n",
       "      <td>-0.00%</td>\n",
       "      <td>-0.00%</td>\n",
       "      <td>-0.00%</td>\n",
       "      <td>-0.00%</td>\n",
       "      <td>-0.00%</td>\n",
       "      <td>-0.00%</td>\n",
       "      <td>-0.00%</td>\n",
       "      <td>-0.00%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Largest winning trade</th>\n",
       "      <td>0.05%</td>\n",
       "      <td>0.01%</td>\n",
       "      <td>0.01%</td>\n",
       "      <td>0.01%</td>\n",
       "      <td>0.02%</td>\n",
       "      <td>0.04%</td>\n",
       "      <td>0.02%</td>\n",
       "      <td>0.03%</td>\n",
       "      <td>0.04%</td>\n",
       "      <td>0.02%</td>\n",
       "      <td>...</td>\n",
       "      <td>0.01%</td>\n",
       "      <td>0.02%</td>\n",
       "      <td>0.00%</td>\n",
       "      <td>0.01%</td>\n",
       "      <td>0.02%</td>\n",
       "      <td>0.03%</td>\n",
       "      <td>0.01%</td>\n",
       "      <td>0.01%</td>\n",
       "      <td>0.02%</td>\n",
       "      <td>0.05%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Largest losing trade</th>\n",
       "      <td>-0.02%</td>\n",
       "      <td>-0.02%</td>\n",
       "      <td>-0.04%</td>\n",
       "      <td>-0.01%</td>\n",
       "      <td>-0.01%</td>\n",
       "      <td>-0.05%</td>\n",
       "      <td>-0.01%</td>\n",
       "      <td>-0.01%</td>\n",
       "      <td>-0.01%</td>\n",
       "      <td>-0.01%</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.01%</td>\n",
       "      <td>-0.02%</td>\n",
       "      <td>-0.02%</td>\n",
       "      <td>-0.02%</td>\n",
       "      <td>-0.02%</td>\n",
       "      <td>-0.02%</td>\n",
       "      <td>-0.03%</td>\n",
       "      <td>-0.02%</td>\n",
       "      <td>-0.00%</td>\n",
       "      <td>-0.05%</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>8 rows × 517 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "Symbol stats                    A-24757  AAPL-24  ABBV-43694  ABC-22954  \\\n",
       "Avg returns all round_trips       0.00%    0.00%      -0.00%      0.00%   \n",
       "Avg returns winning               0.00%    0.00%       0.00%      0.00%   \n",
       "Avg returns losing               -0.00%   -0.00%      -0.00%     -0.00%   \n",
       "Median returns all round_trips   -0.00%    0.00%       0.00%      0.00%   \n",
       "Median returns winning            0.00%    0.00%       0.00%      0.00%   \n",
       "Median returns losing            -0.00%   -0.00%      -0.00%     -0.00%   \n",
       "Largest winning trade             0.05%    0.01%       0.01%      0.01%   \n",
       "Largest losing trade             -0.02%   -0.02%      -0.04%     -0.01%   \n",
       "\n",
       "Symbol stats                    ABT-62  ACI-88  ACN-25555  ADBE-114  ADI-122  \\\n",
       "Avg returns all round_trips      0.00%   0.00%     -0.00%     0.00%    0.00%   \n",
       "Avg returns winning              0.00%   0.00%      0.00%     0.00%    0.00%   \n",
       "Avg returns losing              -0.00%  -0.00%     -0.00%    -0.00%   -0.00%   \n",
       "Median returns all round_trips   0.00%   0.00%     -0.00%     0.00%    0.00%   \n",
       "Median returns winning           0.00%   0.00%      0.00%     0.00%    0.00%   \n",
       "Median returns losing           -0.00%  -0.00%     -0.00%    -0.00%   -0.00%   \n",
       "Largest winning trade            0.02%   0.04%      0.02%     0.03%    0.04%   \n",
       "Largest losing trade            -0.01%  -0.05%     -0.01%    -0.01%   -0.01%   \n",
       "\n",
       "Symbol stats                    ADM-128     ...      XLNX-8344  XOM-8347  \\\n",
       "Avg returns all round_trips       0.00%     ...          0.00%    -0.00%   \n",
       "Avg returns winning               0.00%     ...          0.00%     0.00%   \n",
       "Avg returns losing               -0.00%     ...         -0.00%    -0.00%   \n",
       "Median returns all round_trips   -0.00%     ...          0.00%    -0.00%   \n",
       "Median returns winning            0.00%     ...          0.00%     0.00%   \n",
       "Median returns losing            -0.00%     ...         -0.00%    -0.00%   \n",
       "Largest winning trade             0.02%     ...          0.01%     0.02%   \n",
       "Largest losing trade             -0.01%     ...         -0.01%    -0.02%   \n",
       "\n",
       "Symbol stats                    XRAY-8352  XRX-8354  XYL-42023  YHOO-14848  \\\n",
       "Avg returns all round_trips        -0.00%    -0.00%      0.00%      -0.00%   \n",
       "Avg returns winning                 0.00%     0.00%      0.00%       0.00%   \n",
       "Avg returns losing                 -0.00%    -0.00%     -0.00%      -0.00%   \n",
       "Median returns all round_trips     -0.00%    -0.00%      0.00%      -0.00%   \n",
       "Median returns winning              0.00%     0.00%      0.00%       0.00%   \n",
       "Median returns losing              -0.00%    -0.00%     -0.00%      -0.00%   \n",
       "Largest winning trade               0.00%     0.01%      0.02%       0.03%   \n",
       "Largest losing trade               -0.02%    -0.02%     -0.02%      -0.02%   \n",
       "\n",
       "Symbol stats                    YUM-17787  ZION-8399  ZLC-10069  ZNGA-42277  \n",
       "Avg returns all round_trips        -0.00%      0.00%      0.00%      -0.00%  \n",
       "Avg returns winning                 0.00%      0.00%      0.01%       0.00%  \n",
       "Avg returns losing                 -0.00%     -0.00%     -0.00%      -0.01%  \n",
       "Median returns all round_trips     -0.00%      0.00%     -0.00%      -0.00%  \n",
       "Median returns winning              0.00%      0.00%      0.01%       0.00%  \n",
       "Median returns losing              -0.00%     -0.00%     -0.00%      -0.00%  \n",
       "Largest winning trade               0.01%      0.01%      0.02%       0.05%  \n",
       "Largest losing trade               -0.03%     -0.02%     -0.00%      -0.05%  \n",
       "\n",
       "[8 rows x 517 columns]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>Profitability (PnL / PnL total) per name</th>\n",
       "      <th>pnl</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>CLF-1595</th>\n",
       "      <td>0.12%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>UNXL-31156</th>\n",
       "      <td>0.10%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TXT-7674</th>\n",
       "      <td>0.09%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>VFC-7949</th>\n",
       "      <td>0.09%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NFX-10231</th>\n",
       "      <td>0.09%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>APOL-24829</th>\n",
       "      <td>0.08%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ARNC-2</th>\n",
       "      <td>0.08%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>JCP-4118</th>\n",
       "      <td>0.08%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>WYNN-24124</th>\n",
       "      <td>0.08%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DO-13635</th>\n",
       "      <td>0.08%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BRCM-18529</th>\n",
       "      <td>0.07%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>HAL-3443</th>\n",
       "      <td>0.07%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>HP-3647</th>\n",
       "      <td>0.07%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MNKD-26524</th>\n",
       "      <td>0.07%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>LNKD-41451</th>\n",
       "      <td>0.06%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NUS-16059</th>\n",
       "      <td>0.06%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MU-5121</th>\n",
       "      <td>0.06%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NE-5249</th>\n",
       "      <td>0.06%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>UNP-7800</th>\n",
       "      <td>0.06%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>LSI-4553</th>\n",
       "      <td>0.05%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DPS-36118</th>\n",
       "      <td>0.05%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AET-168</th>\n",
       "      <td>0.05%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>FTR-2069</th>\n",
       "      <td>0.05%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TDC-34661</th>\n",
       "      <td>0.05%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RRC-19249</th>\n",
       "      <td>0.05%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>IGT-3840</th>\n",
       "      <td>0.05%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>EXC-22114</th>\n",
       "      <td>0.05%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PSX-42788</th>\n",
       "      <td>0.05%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ETFC-15474</th>\n",
       "      <td>0.05%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TWX-357</th>\n",
       "      <td>0.05%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>FRX-3014</th>\n",
       "      <td>-0.03%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>VLO-7990</th>\n",
       "      <td>-0.03%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MO-4954</th>\n",
       "      <td>-0.04%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MAR-25920</th>\n",
       "      <td>-0.04%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CELG-1406</th>\n",
       "      <td>-0.04%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AN-410</th>\n",
       "      <td>-0.04%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MAT-4668</th>\n",
       "      <td>-0.04%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>OKE-5634</th>\n",
       "      <td>-0.04%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BIIB-3806</th>\n",
       "      <td>-0.04%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PCLN-19917</th>\n",
       "      <td>-0.04%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CA-1209</th>\n",
       "      <td>-0.05%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>FFIV-20208</th>\n",
       "      <td>-0.05%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MAS-4665</th>\n",
       "      <td>-0.05%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>EA-2602</th>\n",
       "      <td>-0.05%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NFLX-23709</th>\n",
       "      <td>-0.05%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SCTY-43721</th>\n",
       "      <td>-0.05%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>WEB-27762</th>\n",
       "      <td>-0.05%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SE-33030</th>\n",
       "      <td>-0.05%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ANF-15622</th>\n",
       "      <td>-0.05%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DNR-15789</th>\n",
       "      <td>-0.05%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AKAM-20680</th>\n",
       "      <td>-0.06%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ALXN-14328</th>\n",
       "      <td>-0.06%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DISC_A-36930</th>\n",
       "      <td>-0.06%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>APA-448</th>\n",
       "      <td>-0.06%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>APC-455</th>\n",
       "      <td>-0.09%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P-41579</th>\n",
       "      <td>-0.09%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>QEP-39778</th>\n",
       "      <td>-0.10%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ZNGA-42277</th>\n",
       "      <td>-0.10%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SHLD-26169</th>\n",
       "      <td>-0.10%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MCP-39960</th>\n",
       "      <td>-0.13%</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>517 rows × 1 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "Profitability (PnL / PnL total) per name    pnl\n",
       "CLF-1595                                  0.12%\n",
       "UNXL-31156                                0.10%\n",
       "TXT-7674                                  0.09%\n",
       "VFC-7949                                  0.09%\n",
       "NFX-10231                                 0.09%\n",
       "APOL-24829                                0.08%\n",
       "ARNC-2                                    0.08%\n",
       "JCP-4118                                  0.08%\n",
       "WYNN-24124                                0.08%\n",
       "DO-13635                                  0.08%\n",
       "BRCM-18529                                0.07%\n",
       "HAL-3443                                  0.07%\n",
       "HP-3647                                   0.07%\n",
       "MNKD-26524                                0.07%\n",
       "LNKD-41451                                0.06%\n",
       "NUS-16059                                 0.06%\n",
       "MU-5121                                   0.06%\n",
       "NE-5249                                   0.06%\n",
       "UNP-7800                                  0.06%\n",
       "LSI-4553                                  0.05%\n",
       "DPS-36118                                 0.05%\n",
       "AET-168                                   0.05%\n",
       "FTR-2069                                  0.05%\n",
       "TDC-34661                                 0.05%\n",
       "RRC-19249                                 0.05%\n",
       "IGT-3840                                  0.05%\n",
       "EXC-22114                                 0.05%\n",
       "PSX-42788                                 0.05%\n",
       "ETFC-15474                                0.05%\n",
       "TWX-357                                   0.05%\n",
       "...                                         ...\n",
       "FRX-3014                                 -0.03%\n",
       "VLO-7990                                 -0.03%\n",
       "MO-4954                                  -0.04%\n",
       "MAR-25920                                -0.04%\n",
       "CELG-1406                                -0.04%\n",
       "AN-410                                   -0.04%\n",
       "MAT-4668                                 -0.04%\n",
       "OKE-5634                                 -0.04%\n",
       "BIIB-3806                                -0.04%\n",
       "PCLN-19917                               -0.04%\n",
       "CA-1209                                  -0.05%\n",
       "FFIV-20208                               -0.05%\n",
       "MAS-4665                                 -0.05%\n",
       "EA-2602                                  -0.05%\n",
       "NFLX-23709                               -0.05%\n",
       "SCTY-43721                               -0.05%\n",
       "WEB-27762                                -0.05%\n",
       "SE-33030                                 -0.05%\n",
       "ANF-15622                                -0.05%\n",
       "DNR-15789                                -0.05%\n",
       "AKAM-20680                               -0.06%\n",
       "ALXN-14328                               -0.06%\n",
       "DISC_A-36930                             -0.06%\n",
       "APA-448                                  -0.06%\n",
       "APC-455                                  -0.09%\n",
       "P-41579                                  -0.09%\n",
       "QEP-39778                                -0.10%\n",
       "ZNGA-42277                               -0.10%\n",
       "SHLD-26169                               -0.10%\n",
       "MCP-39960                                -0.13%\n",
       "\n",
       "[517 rows x 1 columns]"
      ]
     },
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     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7ff9febbe350>"
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     "output_type": "display_data"
    },
    {
     "data": {
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HDig5OdnM4+uvv9b+/fu1YsUKvfvuu5o+fbok6f3331d0dLRiYmLUqlUrxcfH68cff9TX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\nQXmfF4reT0ePHq0JEyZozJgxatWqlZo2bVrifqz0zWuuuUaPP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RoAAAAAAJMI\n1wAAAAAAmES4BgAAAADAJMI1AAAAAAAmEa4BAAAAADCJcA0AAAAAgEmEawAAAAAATCJcAwAAAABg\nEuEaAAAAAACTCNcAAAAAAJhEuAYAAAAAwCTCNQAAAAAAJhGuAQAAAAAwiXANAAAAAIBJhGsAAAAA\nAExqYO8BVNThw4c1ffp0PfjggzIMQ/7+/po4caLmzJkjwzDUqlUrrVy5Um5ubtq+fbs2bNggV1dX\njRw5UiNGjFBeXp7Cw8N18eJFubq6atmyZWrbtq29ywIAwKHQbwEAqBqnCdeS9Mgjj+idd96x/n/e\nvHkKCQlRcHCw1qxZo7i4OD399NNau3at4uLi1KBBA40YMULBwcHat2+fvLy89NZbb2n//v1avXq1\n1qxZY8dqAABwTPRbAAAqz6luCzcMo8j/Dx8+rKCgIElSUFCQ4uPjlZCQoK5du8rDw0Pu7u7q2bOn\njh07pgMHDmjgwIGSpN69e+v48eO1Pn4AAJwB/RYAgMpzqivXiYmJmjJlirKysjR16lTduHFDbm5u\nkqSWLVsqLS1NGRkZ8vb2tu7j7e2tS5cuKT093brcYrHIxcVFeXl5atDAqQ4BAAA1jn4LAEDlOU2n\n69Chg15++WUNHjxYFy5c0Lhx45SXl2ddX/wse3nL8/PzK/Rzjx07VvnBOrC6VA+12E92drYuJGer\ncRPPEuuSzicp93q2vmuYKU/PkuudibPNS1nqUi1S3avHkdBvzaMWx+SMtZTWb5POJ0kS/dYBUUv9\n5jTh2tfXV4MHD5YktWvXTvfcc49OnjypW7duqWHDhkpNTZWvr698fHx06dIl636pqanq0aOHfHx8\nlJ6eLn9/f+uLhIqcRQ8ICKiZguzg2LFjdaYearGvrKwspd9KkodnsyLLk84nqUP7DsrJvqru3TvI\ny8vLTiM0zxnnpTR1qRapbtXjiC9c6Lfm1LXnJ7XYl61+W9BrJdFvHQy1OKba7LVO857rHTt2KCIi\nQpKUkZGhjIwMDRs2TLt375Yk7dmzR3379lXXrl118uRJZWdnKycnRydOnFBAQID69Olj3Xbfvn0K\nDAy0Wy0AADgq+i0AAFXjNFeuBwwYoFmzZmn06NEyDEOLFy9Wp06dNHfuXH366adq3bq1hg4dKldX\nV82aNUsvvPCCXFxcFBYWJk9PTw0ZMkT79+/XmDFj5O7uruXLl9u7JAAAHA79FgCAqnGacO3h4aF1\n69aVWP7hhx+WWBYcHKzg4OAiy1xcXLRs2bIaGx8AAHUB/RYAgKpxmtvCAQAAAABwVIRrAAAAAABM\nIlwDAAAAAGAS4RoAAAAAAJMI1wAAAAAAmES4BgAAAADAJMI1AAAAAAAmEa4BAAAAADCJcA0AAAAA\ngEmEawAAAAAATCJcAwAAAABgEuEaAAAAAACTCNcAAAAAAJhEuAYAAAAAwCTCNQAAAAAAJhGuAQAA\nAAAwiXANAAAAAIBJhGsAAAAAAEwiXAMAAAAAYBLhGgAAAAAAkwjXAAAAAACYRLgGAAAAAMAkwjUA\nAAAAACYRrgEAAAAAMIlwDQAAAACASYRrAAAAAABMIlwDAAAAAGAS4RoAAAAAAJMI1wAAAAAAmES4\nBgAAAADAJMI1AAAAAAAmEa4BAAAAADCJcA0AAAAAgEmEawAAAAAATCJcAwAAAABgEuEaAAAAAACT\nCNcAAAAAAJhEuAYAAAAAwKQG9h4AgLrHMAxlZWWVuU2zZs1ksVhqaUQAAABAzSJcA6h2169na8+B\ny/L2blnK+hz9rv9D8vLyquWRAQBQd5R3MpsT2UDtIlwDqBGNG3vIw7OZvYcBAECdVdbJbE5kA7WP\ncA0AAAA4KU5mA46DcA0AAADYgWEYunr1aqnrs7KyZMioxREBMINwDaAEmj0AADXv6tWr2v7lKTVp\n4mFzffqlVHl4esnTs5YHBqBKCNcASqDZAwBQO5o0Kf227pyca7U8GgBmEK4B2ESzBwAAACrOxd4D\nAAAAAADA2RGuAQAAAAAwiXANAAAAAIBJvOcaQK0zDENZWVllbtOsWTNZLJZaGhEAAHULvRaofYRr\noJ4q6+u2avqrtq5fz9aeA5fl7d2ylPU5+l3/h+Tl5VVjYwAAoKbZ86st6bVA7SNcA/VUWV+3VRtf\ntdW4cemfRg4AQF1g76+2pNcCtavehetly5YpISFBFotF8+fPV5cuXew9JMBuSvu6Lb5qC4AZ9Frg\nX/hqS6D+qFfh+siRI0pKStKmTZuUmJioBQsWaNOmTfYeFoBieJ8Y4LzotYBzoNcC1a9ehesDBw5o\n4MCBkiQ/Pz9dvXpVOTk58vCwfasO4Mzs+T4vs3ifGOC86LWob+z5GSZm0GuB6levwnV6err+/d//\n3fr/Fi1aKD09nYYPh1ReODaMu826tDPKWVlZ+upEspo0sf1Grtp4X7UZZb1PrKyz7eUdl/LWS3fP\n1AOoGnotnE1N9tu62msL1kulHxeueqM+qlfhuriCPwoVdfbsWSX/fLHU9R3v76AWLVqYHVaNyc7O\nLvf2H2dRH2rJysrS7v0/qlGjxjb3y7ycLhcXV3k1t/2cy7ycriaezUoN15KUm5ujnOySLyhyr1+X\ni2sDm+vKWp97PVs52VervH9F12ekp+m//3bBZu0VOS5lrb9xI1eD+vy6XjzHnJUj1sOVndJVttcW\nlp6eru9P/lDqep9W96ht27ZVfvya4IjPz6qqL7XUdL8trddKVeuHBb22vP1rstdKZR+Xgl5akb+N\n9eV55mwcqRZn6rEWw0zXczIRERHy8fHRM888I0kaOHCgtm/friZNmtjc/tixY7U5PABAPRQQEGDv\nIVSryvZaiX4LAKhZtdVr69WV6z59+igiIkLPPPOMfvjhB/n6+pbZ7OvaCx4AAGpaZXutRL8FANQN\n9Spc9+jRQ507d9aoUaPk6uqq119/3d5DAgCgTqHXAgDqq3p1WzgAAAAAADXBxd4DAAAAAADA2RGu\nAQAAAAAwiXANAAAAAIBJ9eoDzYq7c+eOFixYoPPnzys/P19/+MMf1LNnT50+fVqLFi2Si4uL/P39\ntXDhQknSBx98oD179sjFxUVTpkxRv379lJ2drVmzZunatWvy8PDQ6tWr1axZM7vUc+jQIc2YMUPL\nli1Tv379JEkhISG6ceOGGjVqJIvFovDwcD300ENOWYuzzkuBbdu26Z133lH79u0l3f1E3ZdeeqlS\ndTmyZcuWKSEhQRaLRfPnz1eXLl3sPaQyHT58WNOnT9eDDz4owzDk7++viRMnas6cOTIMQ61atdLK\nlSvl5uam7du3a8OGDXJ1ddXIkSM1YsQIew/f6vTp0woLC1NoaKjGjh2rlJSUCteQl5en8PBwXbx4\nUa6urlq2bJldvzO4eC3z5s3TyZMn1aLF3e9QnTBhgvr16+cUtaxcuVLHjx/XnTt39Pvf/15dunRx\n2nmpDhWpadeuXfroo4/k6uqqwMBAzZgxw2GPRUXGlZWVpZkzZ8rT01PvvPOOpNL7gD1VtRZHnJuK\njMnW75yjzUtZ/TQ+Pl5r1qyRq6urfvOb32jKlCnl7mNPla3FVm9+9dVX7VjBv5RVy61bt/Taa68p\nMTFRW7durdA+9laRes6dO6e4uDhJtl83OcPcHDx40Po869ixo958881y9zHFqMfi4uKMhQsXGoZh\nGGfPnjVGjBhhGIZhhISEGCdPnjQMwzBmzpxpfP3118aFCxeMYcOGGXl5eUZGRoYxaNAgIz8/33jv\nvfeMqKgowzAMY/PmzcaqVavsUktSUpIxdepUIywszPjyyy+ty5977jnj3LlzRbZ11lqccV4K++tf\n/2qsWLGixPLK1OWoDh8+bLz00kuGYRjGuXPnjGeffdbOIyrfoUOHjGnTphVZFh4ebuzZs8cwDMN4\n++23jU8++cS4fv268dvf/tbIzs42bty4YTz55JNGVlaWPYZcwvXr143Q0FBj4cKFRkxMjGEYlath\n27ZtxpIlSwzDMIxvv/3WeOWVVxyulsJ/Awq2c/RaDh48aLz44ouGYRhGZmam0b9/fyM8PNzYvXu3\nYRjONS/VpbyacnNzjaCgICMnJ8cwDMMYOXKkce7cOYc9FhUZ14wZM4zIyMgif2dK6wP2VNVaHHFu\nyhtTab9zjjQv5fXTIUOGGCkpKUZ+fr4xZswY49y5cw7bg6tSi63e7AjKq+WPf/yjERMTYwwfPrzC\n+9hTVepx1rkJDg42UlJSDMMwjGnTphlfffVVjc5Nvb4t/He/+53mzZsnSfL29lZWVpZu376t5ORk\nde7cWZI0YMAAxcfH69ChQ/rNb34jV1dXeXt7q02bNjp79qwOHjyoxx9/XJIUFBSk+Ph4u9Ry7733\nKiIiQh4eHiXWGcU+EN4Za7l9+7Z+/vlnp5uX8lSmrnPnztl5tKU7cOCABg4cKEny8/PT1atXlZOT\nY+dRla/478bhw4cVFBQk6V/Pm4SEBHXt2lUeHh5yd3dXz549dfz4cXsMtwR3d3etX79e99xzj3VZ\nRWs4duxYkXnr3bu3XeuyVYstzlDLww8/bL2616xZM12/fl1HjhzRgAEDJDnXvFSX8mpq1KiRtm/f\nbv0+7ObNm+vKlSsOeywqMq4333xT3bp1q+2hVVpVa3HEuSlvTGX9PS/eD+ylrH564cIFNW/eXL6+\nvrJYLOrXr58OHDjgsD24srUcPHhQkuPMRWHlHeNZs2apf//+ldrHnqpSj+SccxMXFydfX19Jd/Ne\n8d5S3XNTr8N1gwYN5O7uLkmKjo7WU089pczMTDVv3ty6jbe3t9LS0pSRkSFvb2/r8pYtW+rSpUtK\nT0+33rLYsmVLpaen124R/1/Dhg1LXffuu+/queee08KFC3Xz5k2lp6c7XS2ZmZny8vKy/t9Z5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      "text/plain": [
       "<matplotlib.figure.Figure at 0x7ff9ff3b3f50>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "pf.create_round_trip_tear_sheet(bt_returns, bt_positions, bt_transactions);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Help Function\n",
    "\n",
    "The aforementioned functions are all available on the Quantopian research platform (as you have seen). If you're stuck on any particular function, you can directly access the help page with the `help` function as follows."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "collapsed": false,
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Help on function plot_rolling_sharpe in module pyfolio.plotting:\n",
      "\n",
      "plot_rolling_sharpe(returns, rolling_window=126, legend_loc='best', ax=None, **kwargs)\n",
      "    Plots the rolling Sharpe ratio versus date.\n",
      "    \n",
      "    Parameters\n",
      "    ----------\n",
      "    returns : pd.Series\n",
      "        Daily returns of the strategy, noncumulative.\n",
      "         - See full explanation in tears.create_full_tear_sheet.\n",
      "    rolling_window : int, optional\n",
      "        The days window over which to compute the sharpe ratio.\n",
      "    legend_loc : matplotlib.loc, optional\n",
      "        The location of the legend on the plot.\n",
      "    ax : matplotlib.Axes, optional\n",
      "        Axes upon which to plot.\n",
      "    **kwargs, optional\n",
      "        Passed to plotting function.\n",
      "    \n",
      "    Returns\n",
      "    -------\n",
      "    ax : matplotlib.Axes\n",
      "        The axes that were plotted on.\n",
      "\n"
     ]
    }
   ],
   "source": [
    "help(pf.plotting.plot_rolling_sharpe)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Creating a Full Tear Sheet\n",
    "\n",
    "To put these all together, we use a single function call to `bt.create_full_tear_sheet`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false,
    "scrolled": false
   },
   "outputs": [],
   "source": [
    "bt.create_full_tear_sheet(live_start_date=\"2014-08-01\", round_trips=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "*This presentation is for informational purposes only and does not constitute an offer to sell, a solicitation to buy, or a recommendation for any security; nor does it constitute an offer to provide investment advisory or other services by Quantopian, Inc. (\"Quantopian\"). Nothing contained herein constitutes investment advice or offers any opinion with respect to the suitability of any security, and any views expressed herein should not be taken as advice to buy, sell, or hold any security or as an endorsement of any security or company.  In preparing the information contained herein, Quantopian, Inc. has not taken into account the investment needs, objectives, and financial circumstances of any particular investor. Any views expressed and data illustrated herein were prepared based upon information, believed to be reliable, available to Quantopian, Inc. at the time of publication. Quantopian makes no guarantees as to their accuracy or completeness. All information is subject to change and may quickly become unreliable for various reasons, including changes in market conditions or economic circumstances.*"
   ]
  }
 ],
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