python/notebooks/ch10_robust_optimization_simple.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "LaTeX macros (hidden cell)\n",
    "$\n",
    "\\newcommand{\\Q}{\\mathcal{Q}}\n",
    "\\newcommand{\\ECov}{\\boldsymbol{\\Sigma}}\n",
    "\\newcommand{\\EMean}{\\boldsymbol{\\mu}}\n",
    "\\newcommand{\\EAlpha}{\\boldsymbol{\\alpha}}\n",
    "\\newcommand{\\EBeta}{\\boldsymbol{\\beta}}\n",
    "$"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Imports and configuration"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "scrolled": false
   },
   "outputs": [],
   "source": [
    "import sys\n",
    "import os\n",
    "import re\n",
    "import datetime as dt\n",
    "\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import statsmodels.api as sm\n",
    "import scipy.stats as stats\n",
    "from scipy.optimize import brentq\n",
    "from scipy.linalg import sqrtm, inv\n",
    "%matplotlib inline\n",
    "import matplotlib\n",
    "import matplotlib.pyplot as plt\n",
    "from matplotlib.colors import LinearSegmentedColormap\n",
    "\n",
    "from mosek.fusion import *\n",
    "import mosek.fusion.pythonic   # Requires MOSEK >= 10.2\n",
    "\n",
    "from notebook.services.config import ConfigManager\n",
    "\n",
    "from portfolio_tools import data_download, DataReader, compute_inputs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "3.9.7 (default, Sep 16 2021, 13:09:58) \n",
      "[GCC 7.5.0]\n",
      "matplotlib: 3.4.3\n"
     ]
    }
   ],
   "source": [
    "# Version checks\n",
    "print(sys.version)\n",
    "print('matplotlib: {}'.format(matplotlib.__version__))\n",
    "\n",
    "# Jupyter configuration\n",
    "c = ConfigManager()\n",
    "c.update('notebook', {\"CodeCell\": {\"cm_config\": {\"autoCloseBrackets\": False}}})  \n",
    "\n",
    "# Numpy options\n",
    "np.set_printoptions(precision=5, linewidth=120, suppress=True)\n",
    "\n",
    "# Pandas options\n",
    "pd.set_option('display.max_rows', None)\n",
    "\n",
    "# Matplotlib options\n",
    "plt.rcParams['figure.figsize'] = [12, 8]\n",
    "plt.rcParams['figure.dpi'] = 200"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Prepare input data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Here we load the raw data that will be used to compute the optimization input variables, the vector $\\EMean$ of expected returns and the covariance matrix $\\ECov$. The data consists of daily stock prices of $8$ stocks from the US market. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Download data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Data downloading:\n",
    "# If the user has an API key for alphavantage.co, then this code part will download the data. \n",
    "# The code can be modified to download from other sources. To be able to run the examples, \n",
    "# and reproduce results in the cookbook, the files have to have the following format and content:\n",
    "# - File name pattern: \"daily_adjusted_[TICKER].csv\", where TICKER is the symbol of a stock. \n",
    "# - The file contains at least columns \"timestamp\", \"adjusted_close\", and \"volume\".\n",
    "# - The data is daily price/volume, covering at least the period from 2016-03-18 until 2021-03-18, \n",
    "# - Files are for the stocks PM, LMT, MCD, MMM, AAPL, MSFT, TXN, CSCO.\n",
    "list_stocks = [\"PM\", \"LMT\", \"MCD\", \"MMM\", \"AAPL\", \"MSFT\", \"TXN\", \"CSCO\"]\n",
    "list_factors = []\n",
    "alphaToken = None\n",
    " \n",
    "list_tickers = list_stocks + list_factors\n",
    "if alphaToken is not None:\n",
    "    data_download(list_tickers, alphaToken)  "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Read data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We load the daily stock price data from the downloaded CSV files. The data is adjusted for splits and dividends. Then a selected time period is taken from the data."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "investment_start = \"2016-03-18\"\n",
    "investment_end = \"2021-03-18\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Found data files: \n",
      "stock_data/daily_adjusted_AAPL.csv\n",
      "stock_data/daily_adjusted_PM.csv\n",
      "stock_data/daily_adjusted_CSCO.csv\n",
      "stock_data/daily_adjusted_TXN.csv\n",
      "stock_data/daily_adjusted_MMM.csv\n",
      "stock_data/daily_adjusted_IWM.csv\n",
      "stock_data/daily_adjusted_MCD.csv\n",
      "stock_data/daily_adjusted_SPY.csv\n",
      "stock_data/daily_adjusted_MSFT.csv\n",
      "stock_data/daily_adjusted_LMT.csv\n",
      "\n",
      "Using data files: \n",
      "stock_data/daily_adjusted_PM.csv\n",
      "stock_data/daily_adjusted_LMT.csv\n",
      "stock_data/daily_adjusted_MCD.csv\n",
      "stock_data/daily_adjusted_MMM.csv\n",
      "stock_data/daily_adjusted_AAPL.csv\n",
      "stock_data/daily_adjusted_MSFT.csv\n",
      "stock_data/daily_adjusted_TXN.csv\n",
      "stock_data/daily_adjusted_CSCO.csv\n",
      "\n"
     ]
    }
   ],
   "source": [
    "# The files are in \"stock_data\" folder, named as \"daily_adjusted_[TICKER].csv\"\n",
    "dr = DataReader(folder_path=\"stock_data\", symbol_list=list_tickers)\n",
    "dr.read_data()\n",
    "df_prices, _ = dr.get_period(start_date=investment_start, end_date=investment_end)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Run the optimization"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Define the optimization model"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Below we implement the optimization model in Fusion API. We create it inside a function so we can call it later."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "def EfficientFrontier(N, mu0, gamma, GQ, G, deltas):\n",
    "\n",
    "    with Model(\"Case study\") as M:\n",
    "        # Settings\n",
    "        #M.setLogHandler(sys.stdout)\n",
    "        \n",
    "        # Variables \n",
    "        # The variable x is the fraction of holdings in each security. \n",
    "        # It is restricted to be positive, which imposes the constraint of no short-selling.   \n",
    "        x = M.variable(\"x\", N, Domain.greaterThan(0.0))\n",
    "        \n",
    "        # The variable s models the portfolio risk term.\n",
    "        s = M.variable(\"s\", 1, Domain.greaterThan(0.0))\n",
    "        \n",
    "        # The variable sq models the robustness term.\n",
    "        sq = M.variable(\"sq\", 1, Domain.greaterThan(0.0))\n",
    "        \n",
    "        # Budget constraint\n",
    "        M.constraint('budget', Expr.sum(x) == 1.0)\n",
    "        \n",
    "        # Objective\n",
    "        delta = M.parameter()\n",
    "        wc_return = x.T @ mu0 - gamma * sq\n",
    "        M.objective('obj', ObjectiveSense.Maximize, wc_return - delta * s)\n",
    "        \n",
    "        # Robustness \n",
    "        M.constraint('robustness', Expr.vstack(sq, GQ.T @ x), Domain.inQCone())\n",
    "                       \n",
    "        # Risk constraint\n",
    "        M.constraint('risk', Expr.vstack(s, 1, G.T @ x), Domain.inRotatedQCone())\n",
    "                    \n",
    "        # Create DataFrame to store the results. Last security names (the factors) are removed.\n",
    "        columns = [\"delta\", \"obj\", \"return\", \"risk\"] + df_prices.columns.tolist()\n",
    "        df_result = pd.DataFrame(columns=columns)\n",
    "        for d in deltas:\n",
    "            # Update parameter\n",
    "            delta.setValue(d)\n",
    "            \n",
    "            # Solve optimization\n",
    "            M.solve()\n",
    "            \n",
    "            # Check if the solution is an optimal point\n",
    "            solsta = M.getPrimalSolutionStatus()\n",
    "            if (solsta != SolutionStatus.Optimal):\n",
    "                # See https://docs.mosek.com/latest/pythonfusion/accessing-solution.html about handling solution statuses.\n",
    "                raise Exception(\"Unexpected solution status!\")\n",
    "            \n",
    "            # Save results\n",
    "            portfolio_return = mu0 @ x.level() - gamma * sq.level()[0]\n",
    "            portfolio_risk = np.sqrt(2 * s.level()[0])\n",
    "            row = pd.Series([d, M.primalObjValue(), portfolio_return, portfolio_risk] + list(x.level()), index=columns)\n",
    "            df_result = pd.concat([df_result, pd.DataFrame([row])], ignore_index=True)\n",
    "\n",
    "        return df_result"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Compute optimization input variables"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Here we use the loaded daily price data to compute the corresponding yearly mean return and covariance matrix."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "# Number of securities (We subtract fnum to account for factors at the end of the price data)\n",
    "N = df_prices.shape[1]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now we compute the same using the factor model. First we compute logarithmic return statistics and use them to compute the factor exposures and covariances. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "m, S = compute_inputs(df_prices)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Next we compute the matrix $G$ such that $\\ECov=GG^\\mathsf{T}$, this is the input of the conic form of the optimization problem. Here we use Cholesky factorization."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "G = np.linalg.cholesky(S)  "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We compute the parameters of the uncertainty sets."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Uncertainty set parameters\n",
    "gamma = 0.02\n",
    "GQ = G\n",
    "mu0 = m\n",
    "\n",
    "# To get back the non_robust case, we have to zero the bounds\n",
    "gamma_z = 0"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Call the optimizer function"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We run the optimization for a range of risk aversion parameter values: $\\delta = 10^{-1},\\dots,10^{2}$. We compute the efficient frontier this way both with and without using factor model. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Compute efficient frontier with and without factor model\n",
    "deltas = np.logspace(start=-1, stop=2, num=20)[::-1]\n",
    "df_result_orig = EfficientFrontier(N, mu0, gamma_z, GQ, G, deltas)\n",
    "df_result_robust = EfficientFrontier(N, mu0, gamma, GQ, G, deltas)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "scrolled": false
   },
   "outputs": [],
   "source": [
    "# Set small negatives to zero to make plotting work\n",
    "mask = df_result_orig < 0\n",
    "mask.iloc[:, :-8] = False\n",
    "df_result_orig[mask] = 0\n",
    "\n",
    "# Set small negatives to zero to make plotting work\n",
    "mask = df_result_robust < 0\n",
    "mask.iloc[:, :-8] = False\n",
    "df_result_robust[mask] = 0"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Visualize the results"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Plot the efficient frontier for both cases."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
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JBvBvSXvekRoqoq8vd1zLAD69oO05hhF4k8DDF3b+dYRKSpUuuT82nf990MaDVbp1+XptK60Ne9znN7VyQ4lWbijR+II03bNgmqYMyezRGk3TVGW9p7m7PdDZHhwtX9GgQ8ca5I3zXPkMp03Dc48H7qFd7kVZTjls1rheHwAAAEDfRiAPAAAAAMBAc2h9dGF8E09d4HnXrDzeKW+aUtnWYPd7sAO+vjz6mnLGBAP4udKIM6SMws49r2ha4E0C0b6epNTA86Lt+O8nVm8v0+Kl61Tv7tzI9m2ltVqwpFhLFk3XnHF5Ma3F5fG1CNn3tRorX9vojen1WrNbLRqanRzsck8OdLkHQ/dh2SnKTGF8OgAAAICuI5AHAAAAAGAgMc3AmPqudJRLgec99XVp5g2B/d/3vC3VlUW/TvaolgF85pCu1SMFOvavWdn++P1Q+ScEOuMHaBi/8WBVVGF8k3q3T4uXrtPyxbOi6pT3+02VVLuaQ/b9lQ0t9nI/UtMY7UuIWn6643jIHtzPfXhOiobnpqgg3SmLZWBOSQAAAAAQfwTyAAAAAAAMJHtWd2/PdUmq2Cmt/H50z8kaIY2cExhBP3K2lDm0ezW0VjRN+lZx4A0Cax+UNj8vmSGBs8UmTZwvzbgucP0BOqbeNE3dunx91GF8k3q3T99b/rFeunlOi73Rqxo8LUL2wH7ugeD9YGWD3D5/rF5CWKl2a/MY+ab7wONkDc1OkTOJsfIAAAAAEoNAHgAAAACAgWTt33rmOpnDWgbwWcPjf03DCFxv1BzJVS3VHJYaayVHmpReKDkz4l9DL1e8qzzinvGdtbW0Rjc9/pG8fjMQvJfXq9oV37HyVouhIVnJzSF70zj5pgA+OyWpxRsEAAAAAKC3IJAHAAAAAGCgcFUHOsfjIWNIywA+e2R8rtNZzgwC+DCWrdkbk3We++RwTNYJNSjNrqHZxzvbhwdD92E5KSrMdMpmtcT8mgAAAAAQbwTyAAAAAAAMFNWHWo5x765x50uTLgoG8KMG7Bj4vqLG5dGqT0sTdn1nkqVFyD4sZKz8sOwUpTr4NRUAAACA/oefdAAAAAAAGCjcdbFd78wfSEOnx3ZNxFSNy6NtpTXafLhGa3aVy+c343YtiyEVZiY3B+zDc1I0PDeluet9UJqdsfIAAAAABhwCeQAAAAAABgJ3vbT7zdiu6UiL7XroMp/f1N7yOm0pqdGWw9XaXFKjLSXV2l/RELdrXnryEJ06Mru5670oK1l2G2PlAQAAACAUgTwAAAAAAP2VaUqH10sfLpU2PCU1VsVubYtNSi+M3XrotMo6dyB4L6nWlsOB+62lNXJ5/D1ax7fPHqOx+ek9ek0AAAAA6GsI5AEAAAAA6G8aKqVP/iV9+KhUuiE+15g4X3JmxGdtSJI8Pr92ldVpS0m1Nh8+HsCXVLsSXZpsFkMFGc5ElwEAAAAAvR6BPAAAAAAA/YHfL+15K9ANv/k5ydcY3+vNuC6+6w8gpmmqrLaxudt9y+EabS6p0Y4jNfL4ur/nu81iaExemiYMTtfWkmptLa3t9przJg9WujOp2+sAAAAAQH9HIA8AAAAAQF9WdVBa/5j00VLp2N4OTjak0WdJR7dJ1Qe7fs38E6SRs7v+/AHM5fFpx5FabT5c3WLsfHmdOybr56U7NHFwuiYVZmji4HRNHJyhMfmpctiskqR3dx7Vlx98r9vXWThzRLfXAAAAAICBgEAeAAAAAIC+xuuWtr0UGEm/81XJ7GDv8Mxh0rSvSCd/RcoaLh1aLz18oeSpi/7aSanSJfdLhtGl0mOhxuVRSZVLdW6fUu1WDc509rpubdM0dajKpS3B4L0pgN9VVit/95veZbdZNL4gTRMHZzQH8BMGp2tQmqPd580anavxBWna1o0u+QkF6Zo5OqfLzwcAAACAgYRAXpJhGMMl3STpIknDJTVK2iFpuaS/mKZZH4drFkraLCkz+Kk3TdM8qxPPyw3WeomkkZIMSbsl/VvSvaZplse6VgAAAABAL1G2NRDCf/yEVH+0/XMtSdLEi6RTvhroirdYjx8rmiZdtUx6YmF0oXxSauB5RdO6UHz3mKap4l3lWlq8Vy9vKpUvJNW2WgzNm1yghTNHaNboXBk9/GaBukavtpbWtBo5X60alzcm6w/JSg50uxcGOt4nFaZrZG6qbFZL1GsZhqF7FkzTgiXFqnf7on5+it2quxdM7fGvMQAAAAD0VQM+kDcM4yJJ/9TxYFySUiTNCN6uMwzjQtM0d8X40ve1umaHDMOYIelZSYWtDp0UvF1nGMbFpml+EJsSAQAAAAAJ11grfboiMJJ+fydGjeefIJ28SDrpSik1N/J5Y86RrlkprbheKtvcuXUvuT8hYfzGg1W6dfn6iF3dPr+plRtKtHJDicYXpOmeBdM0ZUhUP3J3it9val9FvbaUVGtzU/heUqO95bF5H3+K3aoJg4+H7hMHZ2hCQboyU2Lb/T9lSKaWLJquxUvXRRXKp9itWrJoely+tgAAAADQXw3oQN4wjKkKdMGnSKqV9BtJr0tKlnSVpG9ImiDpBcMwZpim2fV5bi2v+3lJl0s6Iim/k88ZIuk5SQWSvJLukfR88PB8SbdKKpL0vGEY003T7MZmgAAAAACAhDJN6cAH0oePBMJ4dwc/jtrTpCmXB7rhh0zv/Dj5omnSt4qlPW9Lax+UNj8vmSEBrcUmTZwvzbgusGd8ArqiV28viyo43lZaqwVLirVk0XTNGZfX5etW1XuaA/emAH5rSY0aPNF3lbdmGNKInJTAuPmQrvdh2SmyWHrmazxnXJ6WL57V7hsdQk0oSNfdC6YSxgMAAABAlAZ0IC/pjwqE8V5J55mmWRxy7DXDMLZL+p2kiQoE3j/v7gUNw0iT9H/BD78v6dFOPvVXCoTxkvRl0zT/FXJstWEYHyjw5oICSb+Q9PXu1goAAAAA6GF1RwPj6D9aKpVt6fj8YTMDIfzkSyR7ateuaRjSqDmBm6taqjkc6Mp3pEnphZIzo2vrxsDGg1VRd3FLUr3bp8VL12n54lkdBsgen1+7j9Y17/HetOf74SpXd0pvluG0aWJhhiYNTtfEwsB+7+ML0pXqSPyvZKYMydSqm+dqza4KLV2zR6s+bbkVgM1iaN7kwVo4c4Rmjs5hTD0AAAAAdEHif/pLkOD497OCH/69VRjf5G5J10iaJOlmwzB+Y5qmp5uX/rWkYZJeN01zqWEYHQbyhmEUSFoY/HBVqzBekmSa5r8Mw1glaZ6krxqGcZtpmqXdrBUAAAAAEG9+n7TzdemjR6UtKyV/Bz92puZJU78UGEufNz62tTgzEhrAhzJNU7cuX9+lfc6lQCj/veUf66Wb5zQHyWU1jS32eN9yuEY7jtTK7fN3u16rxdDoQanNoXvTyPnCTGevDrINw9CsMbmaNSZXNS6PSqtdqm30Kc1hVUGGU+nO2I7LBwAAAICBZsAG8pIuCXn8cLgTTNP0BwPz30jKViDAf6WrFzQM4zOSvi3JLemGKJ76BUnW9moN+ocCgbw1+JwHo68SAAAAANAjKvdKHy2T1j8mVR9o/1zDIo39nHTKImn8+ZK1/4ekxbvKOzVKvT1bS2v07X9+qGqXV1tKqnW01h2T2nJT7ZoUDN6bAvix+WlyJlk7fnIvlu5MIoAHAAAAgBgbyIH8nOB9naR17Zz3Zsjj2epiIG8Yhk3SXyVZJP3WNM2tUTx9TsjjNyOe1bZWAnkAAAAA6EUsfresm/4tffqEtOtNSWb7T8geGeiEn/ZlKaOoByrsPZat2RuTdVZuLOnyc+1Wi8bmp2liYbomhez3npfuiEltAAAAAID+byAH8pOC9ztM0/S2c17opn2TIp7Vse9LmipppwJj66PRdN0q0zQj/ibBNM3DhmFUS8pQlLUahjG0g1MGNz1oaGhQQ0NDNMv3Oi6XK+xjAAA6wvcQAEBXePZ/pCkHlmlYxTuyf1zX7rmm1SHfhPnynfQl+YefHuiOl6Q+/nNYNGobvVq1sWd3YRuc4dD4gjRNyE/ThIJUjS9I08jcFCVZLa3O9Pf5n4kB9B38/AEA6Cq+hwDRi9fPeoZpdvBu/H7IMAynpKav6Aumac7v4PxaSamS1pimOasL1xstaaOkZEnzTNN8OeRY0x/Am6ZpnhXh+SWSCiR9aprmlA6utVHSZEklpmkWRlFjp/9D+Nvf/qZBgwZ19nQAAAAA6DNsvgYluytk9bvkszjVYM+R15rcxbXqNbRyjYaXv6ns+t0dnn8seYT25Z6pA9mz5LGlduma/UVJvfSbj+PTQ2C3mCpMkYpSzOZbYYqUyqR2AAAAABjQjh49quuuu67pw2GmaXawv1znDNQO+fSQx53ZkK5OgUA+rYvXW6JAGP9kaBgfhaZ6O1ur1PVaAQAAAGBgMU0Nqt2sUUdf1eBj62SRv/mQXxYdzpquPYPO1dG0SZJhdLhWbt1WDS9/U0WVa2Uz29+z3GNN0f7s07Uvd66qUkbG4MX0bV6/tL9OWnukg69zlE7L9+uErED4PsgpWWK7PAAAAAAAEQ3UQN4Z8rj9344ENAbvo26LMAzjq5I+K6la0i3RPj+oqd541jqsg+ODJa2VpLlz52ro0I4m3PduLpdLb731lqTA63E6nR08AwCAAL6HAED/YpR8IvsLN8pydGvY4xb5NeTYWg05tlb+QRPkvug+mYNPanti7RHZNj4p64YnZKnY2eF1fcPPkO+kL8s3/kIVJiWr0+PN+hmPz6+Nh2q0dk+l3ttTqY/2V6nB4+/4iVG6/YpZGpM3sKcOAOib+PkDANBVfA8BonfgQEwa4tsYqIF86GYZ9k6c7wjeR7VxgGEYgyTdHfzwx6ZpHo7m+SFcklIUx1o7GrlghHSBJCcnKzm5ayMbeyOn09mvXg8AoOfwPQQA+ridr0lPLJQ87e/p3sRydKucj10qXbVMGnOO5PNKO16RPnxU2rZKMn3tPr8hKVv7c2Zr+MU/lrNokqyxeA0xUOPyqKTKpTq3T6l2qwZnOpXujM/8dq/Prw0Hq1S8q1xrdlXogz0Vqne3/3XrLpvF0Ij8TCXH6TUBQE/h5w8AQFfxPQTonHj9PRmogXxNyOPOjHZveht9Z0bGh7pH0iBJH0j6S5TPDVWjQCAfz1oBAAAAYOA4tD6qML6Zp0564svS5EulHa9JtSXtn2+xSePPV+OUK/XKDq9Mw6ph2SO7WnXMmKap4l3lWlq8Vy9vKpXPbzYfs1oMzZtcoIUzR2jW6NwWb9COltfn18ZD1Vqzq1xrdpVr7e4K1cU5gG9t3uTBcXuDAQAAAAAAHRmQgbxpmi7DMI4qEJa3O3vdMIxsHQ+593f2GoZhFElaFPzwNUkLOvglRr5hGFcFH+82TfO9kGMHJBV0VGtQ0+j5TtcKAAAAAAOKaUorro8+jG/iaZDWP9b+ObnjpFMWSVO/JKXly9/QIHPny127XoxtPFilW5ev17bS8O/j9vlNrdxQopUbSjS+IE33LJimKUMyO7W2z2/q00NVWrOrXMU7y7V2T6VqG71R1zhxcLpG5KZo1aelUT+3tYUzR3R7DQAAAAAAumpABvJBmyXNkTTWMAybaZqRfkMwsdVzOit0vPwPOnH+JEmPBx8/Iik0kN8kabqkTMMwBpumGbYFwzCMQkkZXagVAAAAAAaOPaulsjj8yJSUEuicP3mRNHym1I3O8nhZvb1Mi5eu6/SY+G2ltVqwpFhLFk3XnHF5bY77/KY2H65W8c5AB/z7uytU04UAfkJBumaOztGsMbn6zKhc5aTaZZqm5v3xrYhvHIhmXQAAAAAAEmUgB/JvKxDIpyoQdr8X4bwzQx6/E++iInhbx7vtz5T0ZITzekOtAAAAANC7rf1bbNcbcmqgG37yZZIzo+PzE2Tjwaqowvgm9W6fFi9dp+WLZ+mEwgxtOnx8BP17uytU44o+gB+Xn6ZZY3I1c3SuPjMqR4PSHG3OMQxD9yyYpgVLiru0z3yK3aq7F0zt1sh9AAAAAAC6ayAH8v+WdFvw8TUKE8gbhmGR9NXgh8ckvd7ZxU3T3COpw5/6DcNo2qjvTdM0z4pw2n8k3S/JEqw1UiB/dfDeH3wOAAAAACCUq1ra/HyMFjOka1+Rhs2I0XrxY5qmbl2+vkvBthQI5a/66xpZDKm6CwH82Pw0zRydo5mjc3XaqFzlpbcN4MOZMiRTSxZNj/qNBCl2q5Ysmt7pUfsAAAAAAMTLgA3kTdN83zCM1Qp0yV9rGMYjpmkWtzrtewqMkpekP5mm6Qk9aBjG1ZIeDn74v6Zp3hGnWksMw/inAl3y8wzDuMI0zada1fJFSfOCHy6NNNYeAAAAAAa06kOS2bVQui2zV3fEhyreVd6t0e+SotoLfnReqmaOztWs0bk6bXSO8tOdXb7unHF5Wr54Vrv73oeaUJCuuxdMJYwHAAAAAPQKAzaQD/quAqPdkyW9bBjGrxXogk+WdJWkbwbP2ybp7oRUeNyPJZ0vKU/S44ZhnCqpqa1jvgJvHpCkMkk/6fnyAAAAAKAPcNfFdr3G7oXcPWXZmr1xXX/UoEAA39QFX5DR9QA+nClDMrXq5rlas6tCS9fs0apPS+Xzm83HbRZD8yYP1sKZIzRzdA5j6gEAAAAAvcaADuRN0/zIMIwrJS2TlCHp12FO2ybpItM0a3q0uFZM09xvGMbnFRi1P1jSD4O3UCWSLjFN80APlwcAAAAAfYM9NbbrOdJiu14c1Lg8WvVpaUzXHJmbEgzgA7fBmbEN4MMxDEOzxuRq1phc1bg8Kq12qbbRpzSHVQUZTqU7k+JeAwAAAAAA0RrQgbwkmab5nGEYJynQLX+RpKGS3JJ2SPqXpD+bplmfwBKbmab5nmEYJypQ6yWSRgYP7Zb0rKQ/mqZZnpjqAAAAAKCXO7BOej3c+7C7yGKT0gtjt16clFS5WnSTd9dj152m08cOitl6XZHuTCKABwAAAAD0CQM+kJck0zT3Sro1eIvmef+Q9I9uXjuqOXqmaR6VdHvwBgAAAADoyL73pDd/K+18NbbrTpzfJ/aQP9bgjul6KQ5+lQAAAAAAQGfxUzQAAAAAoH/a87b05u+k3W/GZ/0Z18Vn3RjZWlKjJ9fu11Pr9sd03TSHNabrAQAAAADQnxHIAwAAAAD6D9MMBPBv/k7a+07k8wyrZPq6fp38E6SRs7v+/DipcXn03MeH9eQH+/Xx/mMxX99mMVSQEf/94gEAAAAA6C8I5AEAAAAAfZ9pSjteld76nbT/vcjnpeZJp98kDZ0hLbtc8tRFf62kVOmS+yUjqh3I4sY0Tb2/u0LLPziglRsOq8HTjTcadGDe5MHs3Q4AAAAAQBQI5AEAAAAAfZdpSttWBfaIP/Rh5PPSBktnfFeafrVkTwl87qpl0hMLowvlk1IDzyua1p2qY+JItUtPfXhA//rggHYf7cIbC7pg4cwRPXIdAAAAAAD6CwJ5AAAAAEDf4/dLW18IjKYv+STyeRlDpNm3SCcvkpJajVofc450zUppxfVS2eaOr5l/QqAzPoFhvMfn1+tbjmj5B/v1+tYy+fxmu+fnpzt0+fSh+uL0obp+2TptK63t8rUnFKRr5uicLj8fAAAAAICBiEAeAAAAANB3+P3S5melN++Sjnwa+bzM4dKcW6VpX5ZsjsjnFU2TvlUs7XlbWvugtPn5lnvLW2zSxPnSjOsCe8YnaEz9zrJaLV+7X09/eFBHaxvbPddqMXTOxHxdeeownTUhTzarRZJ0z4JpWrCkWPXu6Efap9itunvBVBm9ZEw/AAAAAAB9BYE8AAAAAKD38/ukjc9Ib90lHd0a+bzskdKc70tTr5Ksndzr3DCkUXMCN1e1VHNYaqyVHGlSeqHkzIjJS4hWXaNXL2w4rOVr9+uDvZUdnj86L1VXnjpMl54yRPnpzjbHpwzJ1JJF07V46bqoQvkUu1VLFk3XlCGZUdUPAAAAAAAI5AEAAAAAvZnPK234l7T691L5jsjn5Y6V5v4/acoVkrUbP+o6MxIWwEuSaZr6aP8xLV+7X899fEh1HQTnKXarLjqxUFfOGKbpI7I77GCfMy5PyxfP0q3L13dqfP2EgnTdvWAqYTwAAAAAAF1EIA8AAAAA6H28bumTJ6TVd0uVeyKflzcxEMRPvlSyWHusvFg7Wtuof390UE+u3a/tRzoOyk8enqUrTx2m+VOLlOaI7kf7KUMytermuVqzq0JL1+zRqk9LW+xFb7MYmjd5sBbOHKGZo3MYUw8AAAAAQDcQyAMAAAAAeg9vo/TRMuntP0pV+yKfVzAlEMRP+oJksfRYebHk85t6a1uZnly7X//dXCpvSCgeTm6qXZedMkQLTh2mcQXp3bq2YRiaNSZXs8bkqsblUWm1S7WNPqU5rCrIcCrd2clx/wAAAAAAoF0E8gAAAACAxPO4pA8fld7+g1RzKPJ5hVOluT+QJlzYZ4P4/ZUN+s9b+/TUugMqqXa1e67FkM4cn6crZwzTORMLZLfF/jWnO5MI4AEAAAAAiBMCeQAAAABA4rjrpXUPS+/cK9WWRD5vyHTpzB9K486T+uAIdZfHpw/KDK05Ymh7cXGH5w/PSdGCU4fq8ulDVZiZ3AMVAgAAAACAeCCQBwAAAAD0vMZa6YO/S+/eJ9WVRT5v2GmBIH7MOX0uiDdNUxsPVuvJD/bp2Y8Oqaax/T3uHTaLLpgyWAtmDNPMUbmyWPrW6wUAAAAAAG0RyAMAAAAAeo6rWnr/r1Lx/0kNFZHPGzknsEf8qLl9Log/Vu/Wvz86qCc/OKDNh6s7PP/EIZlaMGOYvjC1SJnJjI4HAAAAAKA/IZAHAAAAAMRfwzHpvSXSmv+TXFWRzxt9VmCP+JFn9FRlMeH3m3p3Z7me/GC/Vn1aIrfX3+75mclJuvTkIVpw6jCdUJTRQ1UCAAAAAICeRiAPAAAAAIif+gppzV8CYXxjO93iYz8nnfkDadhneq62GDh4rEFPfXBA/1q3XwcqGzo8f3ymX9/87ImaP22YnEntj7AHAAAAAAB9H4E8AAAAACD26o4G9odf+zfJXRv5vPEXSGf+P2nI9LiWU+PyqKTKpTq3T6l2qwZnOpXu7Np4+EavT69sKtWTa/fr7R1HZZrtn1+U6dQlUwdrUM0O5Tql86YUEMYDAAAAADBAEMgDAAAAAGKnplR6917pg4ckT33k8yZ9PrBHfOHUuJVimqaKd5VrafFevbypVD7/8eTcajE0b3KBFs4coVmjc2V0Yp/6LSXVenLtfv37o4OqrPe0e67datHnJhfoylOH6Yyxg+RudOnll3d0+zUBAAAAAIC+hUAeAAAAANB91Yekd/4krfuH5HVFOMmQJl8SCOILJse1nI0Hq3Tr8vXaVhq+O9/nN7VyQ4lWbijR+II03bNgmqYMyWxzXrXLo+c+PqTla/fr4wNVHV534uB0LTh1mC49eYiyU+3dfh0AAAAAAKBvI5AHAAAAAHTdsf3SO3+UPnxU8rnDn2NYpClXSHO/L+VNiHtJq7eXafHSdap3+zp1/rbSWi1YUqwli6Zrzrg8maap93ZXaPna/Vq58bBcHn+7z0932PT5aUW68tRhOmloZqe67QEAAAAAwMBAIA8AAAAAiF7lHmn1PdL6xyR/hPHthlWaepU053tS7pgeKWvjwaqowvgm9W6fvvnoOn3x1KF6a1uZ9pS3M24/6LRRObpyxjBdMKVQyXb2hAcAAAAAAG0RyAMAAAAAOq98ZyCI//hxyYwQelts0rQvS7NvlXJG9Vhppmnq1uXrow7jmzR4fHq0eG+75+SnO3TF9KFacOowjRyU2qXrAAAAAACAgYNAHgAAAADQsbJt0urfSxv+JZkRRrhb7dLJi6TZN0tZw3u0PEkq3lUecc/47rBZDJ0zMV9XzhimM8fnyWa1xPwaAAAAAACgfyKQBwAAAABEVropEMRvfEaSGf4cm1M65WvSGd+VMof0aHmhlq1pv7s9WqPzUnXlqcN02SlDlZfuiOnaAAAAAABgYCCQBwAAAAC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wY3r7FWxIS5sNBcX86smZPD7ty4S13Owsfn56N4Yf2ZEoitKynyRJkiRJkrS3M5CXJEmSqprceuntV7t+yi1mLFrLdePeZ8HKTQlrXVrU445Bh3Jgm/TeFl+SJEmSJEna2xnIS5IkSVVNwzYQZafntvVZtaDBPhU+vbQ0cP9b87n5Px9RVBIS1gf0bcevzzqQurn+VwtJkiRJkiRpW/6rmSRJklTV5DWE7mfC7KdS79XtzAo/P37FhgJ+OPEDXvtkecJag9q1+ON5B/OtXm1SnVCSJEmSJEmqtgzkJUmSpKqoz2XpCeT7XV6h096cu4LvT5zO8vUFCWuHtGvMHYN6065p3VSnkyRJkiRJkqo1A3lJkiSpqinKh8n3pt6n5YHQ8ejd27qklFte/IS7X/+MsM0d6qMIvn1cF77/zf3Jyc5KfT5JkiRJkiSpmjOQlyRJkqqS/HUwfjAseCO1Pjn14Jx/laXoSfp85SauGz+ND75Yk7DWokFtbhtwCEft1zy1uSRJkiRJkqQaxEBekiRJqio2LIeHz4clH6TWJ6ceDBwDbQ5J+pSnP1jMLx6fwfqC4oS1Ew5owd8u7EWz+rVTm0uSJEmSJEmqYQzkJUmSpKpg9QIYfS6smhev5zaAk38L790Dy+fsuk/LA8uujE8yjN9UWMyvn5rFI1MXJazlZEf89LTuXHpkR7Kykr/SXpIkSZIkSVIZA3lJkiRpT1s2C0afBxuWxut1m8OQx8rC9T6XwoI3y54tP+dZCCVfH5dVC7qdCf0uL3tmfJK3qZ+1eC3XjZvGvOUbE9Y6Na/HHYN6c1DbRin8wSRJkiRJkqSazUBekiRJ2pMWvgPjBkD+2ni9cXsY+iQ061L2OYqg0zFlP/nrYP0SKNgAtetDg30gr2HSW4YQGPX2Av70/EcUlpQmrJ9/6L785uwe1K/tf12QJEmSJEmSUuG/sEmSJEl7ysf/gUeGQ3F+vN7yQBjyODTcZ/vn5TXcrQB+a6s2FnLDIx/w8kdfJazVy83mD+cezDm921aotyRJkiRJkqQ4A3lJkiRpT5g+Dp76TvzW8wDtDofB46FOk7Rv+fZnK/j+hOksW1eQsNZz30bcMag3HZrVS/u+kiRJkiRJUk1lIC9JkiRl2tt3wIu/TKzvfypc8ADk1k3rdsUlpfz95bn849VPCSFx/apjO/PDkw8gt1ZWWveVJEmSJEmSajoDeUmSJClTQoCXboK3bktc6zUIzroDsnPSuuUXqzbxvfHTeP/zNQlrzevncstFh3Dc/i3SuqckSZIkSZKkMgbykiRJUiaUFMOz34NpYxLXjrgWvvk7yErvFerPz1jCTx77kPX5xQlrx3Rtzi0X9aJlg7y07ilJkiRJkiTpawbykiRJUmUr2gyPjoCPn0tc++Zv4ajvpXW7zYUl/PbZ2Yyb9HnCWq2siBtOOYArjulMVlaU1n0lSZIkSZIkxRnIS5IkSZUpfy2MGwQL34rXo6yyW9T3HpLW7T5auo5rx07j0682JKy1b1qXOwb1ple7xmndU5IkSZIkSdL2GchLkiRJlWX9MhhzPiybEa9n14YLH4BuZ6RtqxACY95dyO+em0NhcWnC+tmHtOH35xxEg7z0PqNekiRJkiRJ0o4ZyEuSJEmVYdU8GH0urF4Qr9duCIPGQ8ej0rbVmk2F/OSxD3lh1rKEtbq52fz27IM4/9C2RJG3qJckSZIkSZIyyUBekiRJSrclH5ZdGb/xq3i9XksY+ji0PjhtW703byXXT5jOkrX5CWs92jTkjkG96dyiftr2kyRJkiRJkpQ8A3lJkiQpnRa8WfbM+IJ18XqTjjD0CWjaeaenr88vYunafDYWllAvN5vWjfK2e5v54pJS7njlU+54ZS6lIbHPiKM78eNTD6B2rewU/jCSJEmSJEmSUmEgL0mSJKXLR8/BI5dCSUG83upgGPIYNGi13dNCCLwzbyWj31nIi7OXUbJVwp6dFXFKj1YMObwDR3RuRhRFLF6zmevHT2fSglUJvZrWy+WWC3txQreWaf2jSZIkSZIkSdp9BvKSJElSOrw/Gp75LoTSeL3DUTBoHOQ12u5pM79cyw8mTueTZRu2u15SGnh+xlKen7GU/VvV58I+7fjHq5+ydnNRwrFHdmnGrQMOoVXDvJT/OJIkSZIkSZJSZyAvSZIkpSIEeOvv8NKvE9cOOAMuGAk5dbZ76htzl3PV6KlsKixJaqtPlm3gD8/PSahnZ0X84Jv7c/VxXcjOinZrfEmSJEmSJEmVx0BekiRJqqjSUvjvjfDOPxLXeg+BM/8O2dv/K/fML9fuVhi/I/s2qcPtg3pzaPsmKfWRJEmSJEmSlH4G8pIkSVJFlBTB09+FD8Ymrh11PZx0E0Tbv1o9hMAPJk5POYw//eDW/Om8njSqk5NSH0mSJEmSJEmVw0BekiRJ2l2Fm+DRS+GT/ySunfx7OPK6nZ7+zryVO3xm/O4YengHw3hJkiRJkiSpCsva0wNIkiRJe5XNq2H0uYlhfJQN59y1yzAeYMy7C9Myyph3P09LH0mSJEmSJEmVwyvkJUmSpGStWwJjzoevZsXrtfLgwgfhgFN32WJ9fhEvzFqWlnH+M2sp6/OLaJDnVfKSJEmSJElSVWQgL0mSJCVj5Wcw+hxYs81V6XmNYNAE6HBEUm2Wrs2npDSkZaSS0sCydfkG8pIkSZIkSVIVZSAvSZIk7cri6WVXxm9aEa/Xbw1DH4dWPZJutbGwJK2jbShIbz9JkiRJkiRJ6WMgL0mSJO3M/Ndh3GAoXB+vN+0MQ5+EJh12q1293Oz0zQbUr53efpIkSZIkSZLSx0BekiRJ2pHZT8NjI6CkMF7fpxdc/BjUb7HbLVs3yiM7K0rLbetrZUW0apiXch9JkiRJkiRJlSNrTw8gSZIkVUlTR8EjwxPD+I7HwPBnKxTGAzTIy+GUHq1Snw84pUdrnx8vSZIkSZIkVWEG8pIkSdLWQoDX/wbPfA9CaXyt+7fg4kchr2FKW5x60D4pnb/FkMN373b5kiRJkiRJkjLLW9ZLkiRJW5SWwgs/h/f+lbjW5xI44/9BVmrPbJ+7bD1/eHZ2Sj0ADmjVgMM7N025jyRJkiRJkqTKYyAvSZIkAZQUwZPXwIyJiWvH3gAn/AKiKKUtpi5czWWjJrN2c1FKfermZnPLRb2IUpxHkiRJkiRJUuUykJckSZIKN8LE4fDpfxPXTr0ZDr865S1e/fgrvj1mKvlF8dvgR1HZXfKTVTc3m7uH9uGgto1SnkmSJEmSJElS5fIZ8pIkSarZNq2Ch85ODOOzasF596YljH9i2iKueHBKQhh/aPvGjL38MPZvVT+pPge0asDEq47gmK4tUp5JkiRJkiRJUuXzCnlJkiTVXGu/hDHnwfKP4vWcunDRaOh6Uspb3PfGPH7/3JyE+gkHtOCfF/ehTm42L1x/LO/OW8XodxfwwqxllJR+fcl8rayIU3q0ZsjhHTi8c1NvUy9JkiRJkiTtRQzkJUmSVDOtmAujz4W1X8TreY3h4kegXf+U2ocQuPk/H3PXa58lrJ3Xuy03X9CTnOyyG1ZFUcQRXZpxRJdmrM8vYtm6fDYUlFC/djatGubRIC8npVkkSZIkSZIk7RkG8pIkSap5vpwKD18Im1bG6w3awNDHoWX3lNoXl5Ty8ydmMHHKooS1y4/uxM9P705W1vavdG+Ql2MAL0mSJEmSJFUTBvKSJEmqWT57FcZfDEUb4/VmXWHoE9C4XUrt84tKuHbsNF6asyxh7aendeOqYzt723lJkiRJkiSphjCQlyRJUs0x83F4/EooLYrX2xwKFz8K9Zql1H7t5iKueHAKkxasitWzIvjz+T25qG9qYb8kSZIkSZKkvYuBvCRJkmqGyffBcz8CQrze+XgYMAZqN0ip/Vfr8hl2/yQ+Wro+Vq9dK4t/DD6Ubx7YKqX+kiRJkiRJkvY+BvKSJEmq3kKA126G//0pca3HuXDu3VCrdkpbzF+xkaEj32PR6s2xeoO8Wowc3o/+nZqm1F+SJEmSJEnS3slAXpIkSdVXaSn8+8cw+d7EtX6Xw2l/gazslLaY+eVaht8/iZUbC2P1lg1q8+Bl/em+T8OU+kuSJEmSJEnaexnIS5IkqXoqLoQnroJZjyeuHf8zOO4nEEUpbfH2pyu4cvRUNhQUx+odm9Vl9IjDaNe0bkr9JUmSJEmSJO3dDOQlSZJU/RRsgAlDYN6r2yxEcPpfof8VKW/x/IwlXD9+OoUlpbH6QW0bMurS/jSvn9pt8CVJkiRJkiTt/QzkJUmSVL1sXAkPXwCL34/Xs3LgvLvhoPNT3mLMuwu58amZhBCvH9mlGXcP7UODvJyU95AkSZIkSZK09zOQlyRJUvWx5gsYfS6snBuv59SDgWOgyzdSah9C4PaXP+XWlz5JWDv94NbcOuAQatdK7Zn0kiRJkiRJkqoPA3lJkiRVD199BGPOg3Vfxut1msLFj8K+fVJqX1oauOmZWTz0zsKEtYsPa89vzz6I7KzUnkkvSZIkSZIkqXoxkJckSdLe74vJMPZC2Lw6Xm+4Lwx9Alrsn1L7guISfjjxA579cEnC2vdO7Mr1J3UligzjJUmSJEmSJMUZyEuSJGnv9ulLMGEoFG2K15sfUBbGN2qbUvsNBcVcPXoqb366IlaPIvjNWT0YdkTHlPpLkiRJkiRJqr4M5CVJkrT3mvEoPHEVlBbH6237wsWPQN2mKbVfuaGAS0dN5sNFa2P1nOyIWwccwpk926TUX5IkSZIkSVL1ZiAvSZKkvdN7d8O/f5xY73IiDBgNufVSar9o9SaGjZzEvBUbY/W6udncM7QvR3dtnlJ/SZIkSZIkSdWfgbwkSZL2LiHAq3+E1/+SuHbQBXDOv6BWbkpbfLx0PcPuf49l6wpi9ab1chl1aT967ts4pf6SJEmSJEmSagYDeUmSJO09SkvguR/C1AcS1/pfBaf+GbKyUtpiyoJVXDZqMuvy47fBb9u4DqNH9Kdzi/op9ZckSZIkSZJUcxjIS5Ikae9QXACPXwGzn0pc+8Yv4ZgfQRSltMUrHy3jmoffJ7+oNFY/oFUDHrysP60b5aXUX5IkSZIkSVLNYiAvSZKkqq9gPYwfDPNf32YhgjP/H/S9LOUtHpu6iB8/9iElpSFW79uhCSOH96NR3ZyU95AkSZIkSZJUsxjIS5IkqWrbsBwevgCWTI/Xs3PhvHuhxzkpb3HP65/xx+c/Sqh/o1tL7hx8KHVys1PeQ5IkSZIkSVLNYyAvSZKkqmv1Qhh9Lqz6LF7PrQ8Dx0Ln41JqH0Lgz//+iLtfn5ewdv6h+/Ln8w8mJzu1Z9JLkiRJkiRJqrkM5CVJklQ1LZsNY86D9Uvi9brNYcij0KZ3Su2LS0r56eMzeHTqooS1K4/tzM9O60aU4jPpJUmSJEmSJNVsBvKSJEmqej5/F8ZeBPlr4/VG7WHoE9B8v5Taby4s4dqx7/PyR18lrP3stG5cdVyXlPpLkiRJkiRJEhjIS5Ikqar55AWYOByKN8frLQ+EIY9Dw31Sar92UxEjHpzMlIWrY/XsrIg/n3cwF/Ztl1J/SZIkSZIkSdrCQF6SJElVxwfj4clrIJTE6+0Og8EToE6TlNovW5fPsJGT+HjZ+li9dq0s7hx8KCcd2Cql/pIkSZIkSZK0NQN5IIqi9sB3gTOA9kAB8CkwEfhnCGFTCr37AscB/YADgRZAU6AQWAy8C4wKIby6iz4LgA5JbLkwhNCxovNKkiTtMe/cCS/8PLHe9RS4cBTk1k2p/bzlGxg6chJfrolfed8wrxYjL+lHv45NU+ovSZIkSZIkSduq8YF8FEVnAA8DjbYq16UsQO8HXB5F0ekhhHkV3OI24Kjt1HOB/ct/hkVR9AgwLISQX8F9JEmS9k4hwMu/gTdvTVzrORDO/gdk56S0xYeL1nDJA5NZtbEwVm/VsDYPXtafbq0bptRfkiRJkiRJkranRgfyURT1ouwq+LrABuBPwKtAHWAgcAVwAPBcFEX9QggbKrBNAfAa8DYwB1gKrKTsSvlewNVAJ+BCoLR83515CvjlTtYLd7ImSZJUtZQUw7PXw7TRiWtHXAvf/B1kZaW0xZtzV3DV6ClsLIzfBr9T83o8dFl/2jVN7cp7SZIkSZIkSdqRGh3IU3b1el2gGDg5hPDOVmuvRFE0F/gL0A34AfDbCuxxSgiheAdrL0RRdAfwMnAEMCCKoj+EEGbspN+aEMLMCswhSZJUtRTlw2Mj4KNnE9dOugmOuh6iKKUtnv1wMd+fMJ2ikhCrH9y2EQ9c2o/m9Wun1F+SJEmSJEmSdia1y432YlEU9QOOL/84cpswfotbKLuqHeD6KIp2+16pOwnjt6xvBv6+VenY3d1DkiRpr5O/FsacnxjGR1lw1h1w9PdTDuNHv7OA68ZNSwjjj9qvGeOuPNwwXpIkSZIkSVKlq7GBPHDOVu8f2N4BIYRS4KHyj034OsBPt41bvc+rpD0kSZKqhg1fwagzYOGb8Xp2bbhoNBw6LKX2IQRu/e8n3PjULEI8i+eMnvtw/yX9qF+7pt8oSpIkSZIkSVIm1OR/iTym/HUjMHUnx7221fujgf9WwiyDtnr/USX0lyRJqhpWzYfR58Lq+fF67YYwaBx0PDql9iWlgV8/PZMx736esDb08A7cdFYPsrNSu/JekiRJkiRJkpJVkwP57uWvn+7itvJbB+Tdd3jUboiiKAtoAfQAruPrq/U/Bl7YxenHRlH0IdAFiIBlwCRgHPBUCNteByZJklRFLJ0JY86DDcvi9XotYchjsE/PlNoXFJfwgwkf8NyMJQlr15/Ule+d2JUoxdvgS5IkSZIkSdLuqJGBfBRFeUDz8o+LdnZsCGF1FEUbgXpAuxT3XQB02MHyQuD8XT1zHui0zeeO5T8XAW9FUTQghPBlBWbbdxeHtN7yZvPmzWzevHl3t6hS8vPzt/tekqRd8TukYrK+eJfcx4YRFayL1UsbtadwwERC446Qwt8vNhYUc+2EGbw7f3WsHgE3nr4/g/rt6/++JO1Rfn9IkirC7w9JUkX5HSLtvsrKP6OaeEF1FEUtgK/KP04IIQzcxfHLgJbAzBDCwSnsu4DEQL4Y+C3w9xDCuoSTvj73E2AO8CIwE1gLNAaOAL7N178sMAc4IoSwdjdnS/r/EO677z6aN2++6wMlSZKA1mvfp+/8O8kORbH62rx2vLPfDRTkNE6p//oiuHtONl9sjF/9nh0FhnYtpXezmvf3XUmSJEmSJEm7Z8WKFVx++eVbPrYLIez0wu5k1cgr5IG8rd4XJnF8QflrnRT3PRnIBbKAZsBRlIXpvwS6RlF0TQhhww7O7R9CWLOd+v+iKPoH8Gh5/+7Ar4EfpDirJElSytqtfINDPh9JFqWx+op6B/Be5+sprlUvpf4r8+Ffc7JZnh8P42tnBUZ0K+WARobxkiRJkiRJkvYcr5DP4BXyO+jdhLLnxvcDPgSODiGsr0CfRsBnlAX9G4GmIYRkftlgy/nJ3LJ+MsAnn3zCvvvu6vCqLT8/n9dffx2AY489lry8vF2cIUlSGb9DklfrvTvJ+d/vEuol+51C4Vl3QU5qv+v4ybINXD5mOss3xP/K07RuDvdc3IsebRqm1F+S0snvD0lSRfj9IUmqKL9DpN23aNEi9t9//y0fvUI+RVsH3vWTOH7LpVs7unq9wsqfUT8cmA30BH4G/LwCfdZGUTQe+A5l8/YF3t6N83f6f1BR9PVVZ3Xq1KFOnVRvFlB15OXlVas/jyQpc/wO2YEQ4L83wtt3JK4dcjHZ37qdOtmp/TV08oJVjBj1Puvyi2P1fZvUYfSIw+jUPLUr7yWpMvn9IUmqCL8/JEkV5XeIlJzK+v+TrErpWsWFEPKBFeUfd3qpd/kV7Fv+RfeLSppnDjC3/OMFKbSavdX7tin0kSRJqpiSYnjymu2H8Ud9D86+E1IM41+avYwh972XEMZ3a92Ax759pGG8JEmSJEmSpCqjRgby5eaUv+4XRdHO/lW423bOqQzLy187pNAj2vUhkiRJlaRoM0wYAh+MTVz75u/gm7+FKLW/rkyc8gVXjZlKQXH8mfT9OjZhwlVH0Kqht1+TJEmSJEmSVHXU5ED+zfLXekCfnRx33Fbv36q8cf7vivZUbot/4FbvF6fQR5IkafdsXgOjz4VP/h2vR9lw9j/hqO+mvMVdr33Gjx/9kJLSEKuf1L0lo0ccRqM6OSnvIUmSJEmSJEnpVJMD+Se3en/p9g6IoigLGFb+cQ3wamUMEkVRP76+Mn5GBXs0AgaUf9wETEnDaJIkSbu2fik8cDp8/k68XisPBj4MvS9OqX1paeCPz8/hz//+KGHtgj77cteQPuTlZKe0hyRJkiRJkiRVhhobyIcQJgFvlH8cEUXREds57IdA9/L3fw8hFG29GEXRJVEUhfKfm7Y9OYqi/lEUHbqzOaIoags8uFVp9HaOOTWKojo76dEAmAg0Ky+NDCEU7GxfSZKktFj5GYw8Gb6aFa/XbgRDn4QDTkupfVFJKT969APueX1ewtpVx3Xmrxf0pFZ2jf0rrSRJkiRJkqQqbmfPTq8JvkfZbejrAC9GUfRHyq6CrwMMBK4sP+4T4JYK9D8QeCCKoreBZ4DpfP2s+LbACZRdnd+ovPYS8MB2+vwUeDiKoscpu9X+Z5Td2r4xcATwbaBd+bEfAzdVYFZJkqTds+QDGHM+bFwer9dvBUMeh9YHpdR+c2EJ3xn7Pq989FXC2i9O784Vx3ZOqb8kSZIkSZIkVbYaHciHEKZFUTQAGAM0BP64ncM+Ac4IIaxPYasjy392ZhTwnRBC6Q7WmwKXl//syOvA4BDCqt2eUJIkaXfMfwPGDYLCbf6K1LQzDH0CmnRMqf2aTYWMeHAKUxeujtWzsyL+cn5Pzu+zb0r9JUmSJEmSJCkTanQgDxBCeCaKop6UXS1/BrAvUAh8CjwC/COEsKmC7ScAi4FvUBbItwVaArnAOmAuZVfojw4hfLiTPj8CTqTsavgDgOaUXR2/qbz/e8A44MUQQqjgrJIkScmZ8ww8OgJKtnlCTuueMOQxqN8ypfZL1+Yz7P73+GTZhlg9LyeLf158KN/o1iql/pIkSZIkSZKUKTU+kAcIISwEflD+szvnjaLsyvYdrW8GXiz/qbAQwhRgSio9JEmS0mLqg/Ds9bDtTX06HgMDH4a8Rts9LVmfLd/AsJGT+HLN5li9UZ0c7r+kL306NE2pvyRJkiRJkiRlkoG8JEmSdi0EePP/wcu/TVzrdiacPxJy8lLa4oMv1nDpqMms2lgYq7dumMdDI/qzf6sGKfWXJEmSJEmSpEwzkJckSdLOlZbCi7+Ed+9MXDt0GJx5G2Rlp7TFG3OXc9XoqWwqLInVO7eox0OX9WffJnVT6i9JkiRJkiRJe4KBvCRJknaspAie+g58OCFx7ZgfwjduhChKaYtnPljMDyZOp6gkxOq99m3EA5f2p2m93JT6S5IkSZIkSdKeYiAvSZKk7SvcBI8Mh7kvJq6d8ic44pqUt3jw7QXc9MwsQjyL55iuzblrSB/q1favq5IkSZIkSZL2Xv4LpyRJkhJtWgXjBsIX78XrWbXg7H9CrwEptQ8hcOtLc7n95bkJa2f23If/d9Eh5NbKSmkPSZIkSZIkSdrTDOQlSZIUt24xjD4Pls+J12vVgYsegv1PTql9SWngxqdmMva9zxPWhh/RgV9/qwdZWandBl+SJEmSJEmSqgIDeUmSJH1txacw+hxY+0W8ntcYLn4E2vVPqX1BcQnXj5/Ov2cuTVj74Tf359pv7EeU4jPpJUmSJEmSJKmqMJCXJElSmS/fh4cvgE0r4/UG+8DQJ6Bl95Tar88v4sqHpvLOvHj/rAh+d85BXHxYh5T6S5IkSZIkSVJVYyAvSZIkmPc/GH8xFG6I15vtVxbGN26fUvvl6wu45IFJzFq8LlbPzc7i7wMP4bSD90mpvyRJkiRJkiRVRQbykiRJNd2sJ+HxK6CkMF5v0xsufhTqNU+p/RerNjF05HssWLkpVq9fuxb3DOvDkV1S6y9JkiRJkiRJVZWBvCRJUk02eSQ890MgxOudjoOBD0PtBim1n7NkHcPun8Ty9QWxevP6uYy6tD8HtW2UUn9JkiRJkiRJqsoM5CVJkmqiEOD1v8Krf0hcO/BsOO9eqFU7pS3em7eSyx+awvr84li9XdM6jL7sMDo2r5dSf0mSJEmSJEmq6gzkJUmSaprSUvjPT2DSPYlrfS+D0/8GWdkpbfHirKVcO24ahcWlsXq31g146LL+tGyYl1J/SZIkSZIkSdobGMhLkiTVJMWF8OS3YeajiWvH/RSO/ylEUUpbTJz8BT99/ENKt7kLfv9OTbl3WF8a1clJqb8kSZIkSZIk7S0M5CVJkmqKgg0wcSh89so2CxGc9hc47MqU2ocQuOu1edz8n48S1r55YCvuGNSbvJzUrryXJEmSJEmSpL2JgbwkSVJNsGkVPHwhfDklXs/KgXPvgoMvSKl9aWngD8/PYeSb8xPWLuq7L38892BqZWeltIckSZIkSZIk7W0M5CVJkqq7tYtg9Hmw4uN4PaceDBgN+52YUvuiklJ+/OiHPDHty4S1a47vwg2nHECU4m3wJUmSJEmSJGlvZCAvSZJUnS3/GEafC+u2CcvrNIGLH4V9+6bUflNhMdc8/D7/+3h5wtqNZx7IiKM7pdRfkiRJkiRJkvZmBvKSJEnV1aIp8PAFsHl1vN6wLQx9AlockFL7NZsKuXTUZKZ9viZWr5UV8bcLe3FO77Yp9ZckSZIkSZKkvZ2BvCRJUnX06cswYSgUbYzXm+9fFsY32jel9kvWbmbYyEnM/WpDrF4nJ5t/DjmUEw5omVJ/SZIkSZIkSaoODOQlSZKqmxmPwhNXQ2lRvN62T9lt6us2Tan9p19tYNjI91i8Nj9Wb1w3h/sv6ceh7Zuk1F+SJEmSJEmSqgsDeUmSpOrkvXvg3z8GQrze5Rtw0WioXT+l9tM+X81loyazelM87N+nUR4PXdafrq0apNRfkiRJkiRJkqoTA3lJkqTqIAT435/gtZsT1w46H865C2rlprTFa58s5+rRU9lcVBKrd2lRj4dGHEbbxnVS6i9JkiRJkiRJ1Y2BvCRJ0t6utASevwGmjExc638lnHozZGWltMVT07/khxM/oLg0fuX9Ie0ac/8l/WhaL7WwX5IkSZIkSZKqIwN5SZKkvVlxATx+Jcx+MnHthF/AsTdAFKW0xQNvzec3z8xOqB+7fwv+dfGh1KvtXyklSZIkSZIkaXv811NJkqS9VcF6GH8xzH9tm4UIzrgF+o1IqX0IgVte/IR/vPppwtpZvdrwtwt7kVsrtSvvJUmSJEmSJKk6M5CXJEnaG21cAQ9fAIunxetZOXD+vdDj3JTal5QGfvnkDMZN+iJh7ZIjO/KrMw8kKyu1K+8lSZIkSZIkqbozkJckSdrbrPkcRp8LK7e5cj23PgwYA11OSKl9flEJ3xs/jRdmLUtYu+GUA7jm+C5EKd4GX5IkSZIkSZJqAgN5SZKkvclXc8rC+PVL4vW6zeDiR6HtoSm1X5dfxBUPTuG9+ati9awI/njuwQzs3z6l/pIkSZIkSZJUkxjIS5Ik7S2+mAQPXwj5a+L1Ru1g6JPQfL+U2n+1Pp9L7p/M7CXrYvXcWlncPrA3px7UOqX+kiRJkiRJklTTGMhLkiTtDeb+FyYMheLN8XqL7jD0cWjYJqX2C1duZOjISXy+alOs3qB2Le4d3pfDOzdLqb8kSZIkSZIk1UQG8pIkSVXdhxPhyW9DaXG8vm9/GDwB6jZNqf2sxWsZfv9kVmwoiNWb16/Ng5f1o0ebRin1lyRJkiRJkqSaykBekiSpKnv3X/CfnybW9/smXPQQ5NZNrf28lVzx4BTWF8TD/vZN6zJ6RH86NKuXUn9JkiRJkiRJqskM5CVJkqqiEOCV38EbtySu9RwAZ98J2TkpbfGfmUv57vhpFBaXxurd92nIg5f1o2WDvJT6S5IkSZIkSVJNZyAvSZJU1ZSWwLPfh/cfTFw7/Bo4+Q+QlZXSFuMnfc7Pn5hBaYjXD+vUlHuH96VhXmphvyRJkiRJkiTJQF6SJKlqKcqHxy+HOc8krp34Kzj6BxBFFW4fQuCf//uMv77wccLayQe24vZBvcnLya5wf0mSJEmSJEnS1wzkJUmSqor8dTB+MCx4I16PsuDM26DP8JTal5YGfvfcbB54a0HC2sB+7fj9OQdRKzu1K+8lSZIkSZIkSV8zkJckSaoKNnwFY86HpR/G69m14YKR0P1bKbUvLC7lhkc/4KnpixPWrj1hP3548v5EKVx5L0mSJEmSJElKZCAvSZK0p61eAKPPhVXz4vXcBjBoHHQ6JqX2mwqLuXrM+7z+yfKEtV9/60AuPapTSv0lSZIkSZIkSdtnIC9JkrQnLZ0JY86DDcvi9XotYMhjsE+vlNqv3ljIpaMmM/2LNbF6rayIWy7qxdmHtE2pvyRJkiRJkiRpxwzkJUmS9pSF78DYAVCwNl5v3AGGPgHNuqTU/ss1mxk28j0+W74xVq+Tk82/hhzK8Qe0TKm/JEmSJEmSJGnnDOQlSZL2hI//DY9cAsX58XrLHjD0cWjQOqX2c5etZ9j9k1iyNt6/cd0cHrikH73bN0mpvyRJkiRJkiRp1wzkJUmSMm36WHjqWggl8Xr7I2DQeKjTOKX273++mstGTWbNpqJYvU2jPB4a0Z/9WjZIqb8kSZIkSZIkKTkG8pIkSZn01u3w3xsT6/ufBhc+ADl1Umr/6sdfcc2Y99lcFA/792tZn4cu60+bxqn1lyRJkiRJkiQlz0BekiQpE0KAl34Nb/09ca3XYDjrDshO7a9mT077kh898gHFpSFW792+MfcP70eTerkp9ZckSZIkSZIk7R4DeUmSpMpWUgzPfA+mj0lcO/I6+ObvIIpS2mLkm/P53bOzE+rH7d+Cfw05lLq5/rVPkiRJkiRJkjLNf5mVJEmqTEWb4dHL4OPnE9e++Vs46nsptQ8h8NcXPuaf//ssYe2cQ9rw1wt7kZOdldIekiRJkiRJkqSKMZCXJEmqLJvXwLhB8Pnb8XqUDWfdDr2HpNS+uKSUXzwxkwlTvkhYu+yoTvzyjO5kZaV25b0kSZIkSZIkqeIM5CVJkirD+qUw5nxYNjNer5UHFzwA3U5PqX1+UQnXjZvGf2cvS1j78akH8O3juhCleBt8SZIkSZIkSVJqDOQlSZLSbdU8GH0urF4Qr9duBIPGQcejUmq/dnMRVzw0hUnzV8XqWRH86byDGdCvfUr9JUmSJEmSJEnpYSAvSZKUTks+LLsyfuNX8Xr9VjDkMWh9cErtv1qXz7D7J/HR0vWxem6tLO4Y1JtTerROqb8kSZIkSZIkKX0M5CVJktJlwZtlz4wvWBevN+kEQ5+App1Sar9w5UaGjpzE56s2xeoNatfivuF9Oaxzs5T6S5IkSZIkSZLSy0BekiQpHeY8C49eBiUF8Xrrg+Hix6BBq5Taz/xyLZc8MIkVGwpj9RYNavPgpf05sE3DlPpLkiRJkiRJktLPQF6SJClV74+GZ74LoTRe73A0DBoLeY1Sav/OZyu54qEpbCgojrdvVpfRlx1G+2Z1U+ovSZIkSZIkSaocBvKSJEkVFQK8eSu8dFPiWrcz4fyRkJOX0hb/mbmE746bTmFJPOzv0aYhoy7tT4sGtVPqL0mSJEmSJEmqPAbykiRJFRFKqfXqTTD57sS13kPhzNsgO7W/ao1973N++eQMSkO8fkTnZtwzrA8N8nJS6i9JkiRJkiRJqlwG8pIkSbspCsUc8vlIcla9lbh49PfhxF9DFFW4fwiBf7zyKbf895OEtVN7tOa2gYeQl5Nd4f6SJEmSJEmSpMwwkJckSdodRZvoP+/vtF73QeLayX+AI69NqX1paeC3z85m1NsLEtYGH9ae3519ENlZFQ/7JUmSJEmSJEmZYyAvSZKUrM2ryZ0wIDGMj7LhnH9Cr4EptS8sLuWHj3zAMx8sTlj77jf24/vf3J8ohSvvJUmSJEmSJEmZZSAvSZKUjHVLYMx5ZH81O16vVQcuehD2PyWl9hsLirl6zFTemLsiVo8iuOlbPRh+ZMeU+kuSJEmSJEmSMs9AXpIkaVdWfAqjz4W1n8fKoXYjoosnQvvDU2q/amMhl46azAdfrInVc7IjbrnoEM7q1Sal/pIkSZIkSZKkPcNAXpIkaWcWT4MxF8Cm+JXrm3OaEF38OHntD02p/ZdrNjN05HvMW74xVq+bm81dQ/pw7P4tUuovSZIkSZIkSdpzDOQlSZJ2ZN5rMP5iKFwfK2+o3Yq3u/yYY1p0T6n9J8vWM2zkJJauy4/Vm9TN4YFL+3NIu8Yp9ZckSZIkSZIk7VkG8pIkSdsz+yl47HIoKYyVS1v15I0WV1KY0zCl9lMXruayUZNZu7koVm/buA4PXtaf/VrWT6m/JEmSJEmSJGnPy9rTA0iSJFU5Ux6AicMTwng6HUvBoMdSDuNf/egrLr7v3YQwfv9W9Xn020cYxkuSJEmSJElSNeEV8pIkSVuEAG/8DV75feJa97Pg/PugqDSlLR5/fxE3PPohJaUhVj+0fWPuv6QfjevmptRfkiRJkiRJklR1GMhLkiQBlJbCCz+D9+5KXOtzKZxxC2RlQ9HmCm9x3xvz+P1zcxLqJxzQgn9e3Ic6udkV7i1JkiRJkiRJqnoM5CVJkooL4alrYMYjiWvH/hhO+DlEUYXbhxC4+T8fc9drnyWsnde7LTdf0JOcbJ8kJEmSJEmSJEnVjYG8JEmq2Qo3wsRh8OlLiWun/QUOuyql9sUlpfz8iRlMnLIoYe2KYzrxs9O6k5VV8bBfkiRJkiRJklR1GchLkqSaa9MqePhC+HJKvJ5VC869Gw6+IKX2+UUlXDt2Gi/NWZaw9rPTunHVcV1S6i9JkiRJkiRJqtoM5CVJUs209ksYfS6s+Dhez6kLF42Griel1n5zEVc8OIVJC1bF6tlZEX8672Au6tsupf6SJEmSJEmSpKrPQF6SJNU8yz8pC+PXbXMb+TpN4OJHYd++KbX/al0+w+6fxEdL18fqtWtl8Y/Bh/LNA1ul1F+SJEmSJEmStHcwkJckSTXLoqnw8AWwOX7lOg3bwpDHoWW3lNrPX7GRoSPfY9HqzbF6g7xajBzej/6dmqbUX5IkSZIkSZK09zCQlyRJNcdnr8D4IVC0MV5v1hWGPgGNU7uN/Mwv1zL8/kms3FgYq7dsUJsHL+tP930aptRfkiRJkiRJkrR3MZCXJEk1w8zH4fErobQoXm9zaNlt6us1S6n925+u4MrRU9lQUByrd2pej4cu60+7pnVT6i9JkiRJkiRJ2vsYyEuSpOpv0r3w/A1AiNc7nwADxkDt+im1f37GEq4fP53CktJY/aC2DRl1aX+a16+dUn9JkiRJkiRJ0t7JQF6SJFVfIcD//gyv/Tlxrcd5cO5dUCu1sHzMuwu58amZhG2y/iO7NOPuoX1okJeTUn9JkiRJkiRJ0t7LQF6SJFVPpSXw7x/D5PsS1/pdAafdDFnZFW4fAtz52nz+8b/5CWunH9yaWwccQu1aFe8vSZIkSZIkSdr7GchLkqTqp7gAnrgKZj2RuHb8z+C4n0AUVbh9aYDH52fxxrLEMH7I4e35zVkHkZ1V8f6SJEmSJEmSpOrBQF6SJFUvBethwhCY979tFiI4/a/Q/4qU2hcWl/LQ3CymrcxKWPveiV25/qSuRCmE/ZIkSZIkSZKk6sNAXpIkVR8bV8LDF8Di9+P1rBw47x446LyU2m8oKObqcR8khPFRBL89qwdDj+iYUn9JkiRJkiRJUvViIC9JkqqHNV/A6HNh5dx4PaceDHwYupyQUvuVGwq4dNRkPly0Nt4+O+LWAYdwZs82KfWXJEmSJEmSJFU/BvKSJGnv99VHZWH8+sXxep2mMORRaNsnpfZfrNrE8PsnMW/Fxli9bm429wzty9Fdm6fUX5IkSZIkSZJUPRnIS5KkvdsXk8tuU5+/Jl5v1A6GPA4t9k+p/cdL1zPs/vdYtq4gVq9XKzBqeG/6dTGMlyRJkiRJkiRtn4G8JEnae819CSYOhaJN8XqLbmVhfKO2KbWfsmAVl42azLr84li9ae3At7uXcFCbhin1lyRJkiRJkiRVbwbykiRp7/ThI/Dk1VAaD8vZtx8Mngh1m6bU/uU5y7jm4fcpKC6N1bu2rMfQdmtplJtSe0mSJEmSJElSDZC1pweQJEnabe/eBY9fnhjG73cSDHsq5TD+0amLuHL01IQwvm+HJoy+5FDDeEmSJEmSJElSUrxCXpIk7T1CgFf/AK//NXHt4AvhnH9Bdk5KW9zz+mf88fmPEuondmvJPwYfCiWFKfWXJEmSJEmSJNUcBvKSJGnvUFoCz/0Apo5KXDvsajjlT5BV8Zv/hBD4878/4u7X5yWsnX/ovvz5/IPJyc5i8+YKbyFJkiRJkiRJqmEM5CVJUtVXXACPXQ5znk5c+8aNcMwPIYoq3r6klJ88NoPH3l+UsHbVsZ356WndiFLoL0mSJEmSJEmqmQzkJUnSnpW/DtYthsKNkFsPGraBvIbx9QkXw/zX4+dFWXDG/4O+l6a0/ebCEq4d+z4vf/RVwtrPT+/Glcd2Sam/JEmSJEmSJKnmMpCXJEmZFwIseAMm3QsfPQeh5Ou1KBu6nwn9Lofm3WDsBbDkg/j52blw/n1w4NkpjbF2UxEjHpzMlIWr4+2zIm4+vycX9Nk3pf6SJEmSJEmSpJot44F8FEXNgCOAzkADIHtX54QQflvZc0mSpAxZPB2euBqWz9n+eiiB2U+V/WTnQElRfD23AQwaC52OTWmMpWvzGX7/JD5etj5Wz8vJ4s7Bh3Ji91Yp9ZckSZIkSZIkKWOBfBRFLYFbgQsqsK+BvCRJ1cFnr8D4IVC0Mbnjtw3j6zaHIY9Bm0NSGmPe8g0MHTmJL9dsjtUb5tXi/kv60bdj05T6S5IkSZIkSZIEGQrkoyhqArwJdAGiTOwpSZKqmMXTdy+M31b91nDp89AstWe6f7hoDZc8MJlVGwtj9VYNa/PQZYdxQOsGKfWXJEmSJEmSJGmLrAzt81NgP8rC+BeBU4EWQHYIIWtXPxmaUZIkVZYQym5TX9EwHqB2A2jaOaUx3py7gkH3vJsQxnduXo9Hrz7SMF6SJEmSJEmSlFaZumX92UAAngshnJWhPSVJUlWx4I0dPzM+WSvnwoI3odMxFTr92Q8X8/0J0ykqCbF6z30b8cAl/WhWv3Zq80mSJEmSJEmStI1MXX3evvz1zgztJ0mSqpLJ9+3RPqPfWcB146YlhPFH79ecsVccbhgvSZIkSZIkSaoUmbpCfgNQG1iWof0kSVJVkb8O5jybnl5zninrl9cwqcNDCNz20lz+/vLchLUzeu7D/7uoF7VrZadnNkmSJEmSJEmStpGpK+RnlL92yNB+kiSpqli3GEJJenqFEli/JKlDS0oDNz41c7th/LAjOnD7wN6G8ZIkSZIkSZKkSpWpQP5uIAKGZmg/SZJUVRRuTG+/gg27PqS4hOvGvc+Ydz9PWPv+Sfvzm7N6kJ0VpXcuSZIkSZIkSZK2kZFAPoQwERgHnBtF0U8zsackSaoicuult1/t+jtd3lBQzKUPTOb5GUtj9SiC359zEN87qStRZBgvSZIkSZIkSap8GXmGfBRFxwL3UXbL+j9EUXQeMBb4CNi0q/NDCK9X7oSSJKnSNGwDUXZ6blufVQsa7LPD5RUbCrjkgUnM/HJdrJ6bncVtAw/h9IN3fK4kSZIkSZIkSemWkUAe+B8Qtvrcp/wnGYHMzSlJktItryF0PxNmP5V6r25nlvXbji9WbWLoyPdYsDL+u371crO5d1hfjtyveer7S5IkSZIkSZK0GzL1DHkoe4Z8RX8kSdLerN/lldpnzpJ1nP+vtxPC+Gb1chl/5RGG8ZIkSZIkSZKkPSJTV56fkKF9JElSVdTxGKjbDDatrHiPlgdCx6MTypPmr2LEg5NZn18cq+/bpA6jRxxGp+Zpfoa9JEmSJEmSJElJykggH0J4LRP7SJKkKurDiamF8Tn14Jx/QRS/cc5Ls5fxnbHvU1BcGqt3a92ABy/rT6uGeRXfU5IkSZIkSZKkFGUkkI+i6P7yt/8OITySiT0lSVIV8fm78PS1FT8/px4MHANtDomVJ075gp89PoOS0hCr9+vYhPuG96NRnZyK7ylJkiRJkiRJUhpk6pb1w8tfJ2RoP0mSVBWsmg/jB0NJYbxevzVsWLrr81seWHZl/DZh/F2vfcaf//1RwuEndW/JPwYfSl5OdgpDS5IkSZIkSZKUHpkK5JcDLYBlGdpPkiTtaflrYdzAxFvVH/ZtOPVPsOBNmHwvzHkWQsnX61m1oNuZ0O/ysmfGb3Wb+tLSwJ/+PYd735ifsN2FffblT+cdTK3srMr6E0mSJEmSJEmStFsyFcjPBo4DOgDTM7SnJEnaU0qK4ZFLYfk2V7F3PRlO+UNZyN7pmLKf/HWwfgkUbIDa9aHBPpDXMKFlUUkpP3nsQx5//8uEtauP68JPTj2AaJtnzEuSJEmSJEmStCdlKpAfAxxP2a3rn8rQnpIkaU954Wfw2cvxWssD4fyRkLXN7eTzGm43gN/a5sISvjP2fV756KuEtV+e0Z3Lj+mc6sSSJEmSJEmSJKVdpu7p+gDwMnB2FEW/jrx8TZKk6uu9e2DSPfFavRYwaPwug/ftWbOpkCEj30sI47OzIv7fRb0M4yVJkiRJkiRJVVamrpA/BvgbZc+R/xUwMIqiCcCHwGqgZCfnEkJ4vdInlCRJqfv0JfjPT+K17NowcCw06bDb7Zas3czw+yfxybINsXpeThb/urgPJ3Rrmcq0kiRJkiRJkiRVqkwF8v8Dwlaf9wduTPLcQObmlCRJFfXVR2XPjQ+l8frZd0K7/rvd7rPlGxg2chJfrtkcqzeqk8P9l/SjT4cmqUwrSZIkSZIkSVKly2TQ7W3qJUmqrjaugLEXQcG6eP24n0DPC3e73QdfrOHSUZNZtbEwVm/dMI+HRvRn/1YNUplWkiRJkiRJkqSMyFQgf0KG9pEkSZlWXADjL4Y1C+P1HufB8T/b7XZvzF3OVaOnsqkw/kSbzi3qMXrEYbRtXCeVaSVJkiRJkiRJypiMBPIhhNcysY8kScqwEODp78IX78brbfvAOf+E6Osb5KzPL2Lp2nw2FpZQLzeb1o3yaJCXEzvt6Q8W88OJ0ykqCbF6r30b8cCl/WlaL7fS/iiSJEmSJEmSJKWbz2aXJEkV98Yt8OH4eK3hvjBwHOTUIYTAO/NWMvqdhbw4exklpV8H7dlZEaf0aMWQwztwROdmPPTOQm56ZhYhnsVzTNfm3DWkD/Vq+9cWSZIkSZIkSdLexX/ZliRJFTPrSXjld/Fabn0YPAEatGLml2v5wcTpfLJsw3ZPLykNPD9jKc/PWErTerkJz4sH+FavNtxyYS9ya2VVwh9AkiRJkiRJkqTKZSAvSZJ235fvwxNXb1OM4Pz7oPVBO3wO/I5sL4wffkQHfv2tHmRlRds5Q5IkSZIkSZKkqi8jgXwURa+kcHoIIZyYtmEkSVJq1n4J4wZB8eZ4/eTfwwGnMfPLtbsVxm/PD7+5P9d+Yz+iyDBekiRJkiRJkrT3ytQV8scDAdjZv6pv88TY/zt227okSdpTCjbAuAGwYWm8fuhwOOI7hBD4wcTpKYXxrRrWNoyXJEmSJEmSJFULmQrkX2fXwXo9oCvQqPzYT4AllTyXJElKVmkpPH4lLJ0Rr3c6Fs64BaKIdz5bscNnxidr2boC3p23iiO6NEupjyRJkiRJkiRJe1pGAvkQwvHJHBeVXQp3BvB3oClweQjhzUocTZIkJevlm+Dj5+K1ZvvBRQ9Bdg4AY95dmJatxry70EBekiRJkiRJkrTXy9rTA2wtlHkWOBooAZ6IoqjtHh5LkiS9Pxre+nu8ltcYBk+EOk0AWJ9fxAuzlqVlu//MWsr6/KK09JIkSZIkSZIkaU+pUoH8FiGEJcD/A5oBP97D40iSVLPNfwOevT5ey6oFA8ZAsy7/V1q6Np+S0l09oSY5JaWBZevy09JLkiRJkiRJkqQ9pUoG8uW23Kr+jD06hSRJNdnKz2DiUCgtjtfPvBU6HRMrbSwsSevWGwrS20+SJEmSJEmSpEyryoF8Yflrmz06hSRJNdXm1TB2QNnr1o68Dg4dlnB4vdzstG5fv3Z6+0mSJEmSJEmSlGlVOZA/uvx10x6dQpKkmqikCCYOh5Vz4/UDToeTfrPdU1o3yiM7K0rL9rWyIlo1zEtLL0mSJEmSJEmS9pQqGchHUXQE8CsgAJP28DiSJNUsIcDzP4L5r8XrrQ6G8+6FrO1fud4gL4dTerRKywin9GhNg7yctPSSJEmSJEmSJGlPqZWJTaIo+lUSh2UBTYC+wGHlnwNwayWOJkmStvXuv2DqqHitfisYPB5q19/pqUMO78DzM5amPMKQwzuk3EOSJEmSJEmSpD0tI4E8cBNl4XqyIqAY+HEI4b+VMpEkSUr08X/ghZ/Ha7XyYNA4aLTvLk8/onMzOjWvx/wVGys8wgGtGnB456YVPl+SJEmSJEmSpKoiU4E8lIXsOxOA9cB84DXgnhDC7EqfSpIklVk6Ex4bQcLv0J17F7Ttk1SL9QXFFJeUVniEurnZ3HJRL6IoPc+ilyRJkiRJkiRpT8pIIB9CqJLPqpckSeU2fAXjBkLhhnj9G7+EHucm1aK4pJRrx07ji9WbKzRC3dxs7h7ah4PaNqrQ+ZIkSZIkSZIkVTWZvEJekiRVRUWbYfxgWPtFvN5zABzzo6Tb/O7Z2bz+yfJYLTc7i8Ikrpg/oFUDbrmol2G8JEmSJEmSJKlaMZCXJKkmCwGe+g4smhyvtzsMvnU7JHnr+AffXsCD7yyM1ZrVy+WJa47kyzX5jH53AS/MWkZJ6de3w6+VFXFKj9YMObwDh3du6m3qJUmSJEmSJEnVTkYC+SiKSoFSoGeyz4WPoqgLMBcoDSH4iwOSJFWG126GmY/Fa43bw4CHIScvqRb/+/grfvPMrFgtNzuLe4b1oX2zerRvVo8jujRjfX4Ry9bls6GghPq1s2nVMI8GeTnp+pNIkiRJkiRJklTlZDLoruhlb14uJ0lSZZjxKPzvT/FabgMYPBHqt0iqxSfL1nPd2GlsdeE7AH+5oCd9OjSN1Rrk5RjAS5IkSZIkSZJqlKw9PcBObAniw06PkiRJu++LyfDkNfFalAUXjoKW3ZNqsWJDAZeNmsz6guJY/bsnduWc3m3TNKgkSZIkSZIkSXuvqhzINyt/3bhHp5AkqbpZ8zmMHwQlBfH6qTdD15OSapFfVMJVo6eyaPXmWP3Mnvvw/ZO6pmtSSZIkSZIkSZL2apkO5JO62j2KonrAdeUfP6u8cSRJqmEK1sPYAbBxebze7wo47MqkWoQQ+OljHzJ14epYvVe7xvztwl5EkU+bkSRJkiRJkiQJKukZ8lEUzdvB0otRFBXt4vTaQEvKflkgAM+kczZJkmqs0hJ4dAR8NTte7/INOPXPSbe545VPeXL64litbeM63DusD3k52emYVJIkSZIkSZKkaqFSAnmg43ZqEbC7D5R9F/hLytNIkiR48UaY+0K81vyAsufGZyf3V4JnPljM//vvJ7Favdxs7hvel5YN8tI0qCRJkiRJkiRJ1UNlBfIPbvN5OGVXuz8NrNnJeQHIB5YAbwOvhBCSus29JEnaiSn3w7t3xmt1msLgCZDXKKkW0z5fzY8e+SBWy4rgjsG96b5Pw3RNKkmSJEmSJElStVEpgXwI4dKtP0dRNLz87S9CCLO3c4okSaosn70Kz/0oXsvOhYFjoWmnpFp8uWYzVzw0lYLi0lj9F2ccyDe6tUrXpJIkSZIkSZIkVSuVdYX8tn5T/vpVhvaTJEkAyz+BicMhlMTr37odOhyRVIsNBcWMGDWZFRsKYvXBh7XnsqM6pmlQSZIkSZIkSZKqn4wE8iGE3+z6KEmSlFabVsHYi6Bgbbx+zA/hkEFJtSgpDXx33DQ+Wro+Vj96v+b85qweRFGUrmklSZIkSZIkSap2MnWFfIIoitoCrYG6wJQQwuY9NYskSdVOcSFMGAKr58fr3c+CE36ZdJs/Pj+HVz6K3+CmS4t63HnxoeRkZ6VjUkmSJEmSJEmSqq2MBvJRFDUAfgRcBrTZaulgYPZWxw0EzgPWhhCuyOSMkiTt9UKAZ78PC9+K1/c5BM69G7KSC9Iffm8hI9+MB/pN6uZw/yX9aFQnJ03DSpIkSZIkSZJUfWUskI+iaD/g30BnYOv724btHP4OMBrIiqLowRDCmxkYUZKk6uHt22H6mHitQRsYNB5y6ybV4s25K/jVU7NitZzsiLuG9KFDs3rpmlSSJEmSJEmSpGotI/eajaKoNvAc0AXYBPwFOHNHx4cQFgKvln88q9IHlCSpupjzLPz31/FaTl0YNA4a7pNUi0+/2sC3H55KSWn8d+b+dF5PDuvcLF2TSpIkSZIkSZJU7WXqCvmrga7ARuCYEMJ0gCiKdnbOv4GTgCMqezhJkqqFJR/A41cQv/lMBOfdC20OSarFqo2FjHhwMuvzi2P1a47vwgV99k3bqJIkSZIkSZIk1QQZuUKesufBB+DvW8L4JHxY/tq1UiaSJKk6WbcExg6Eok3x+kk3Qfcd3pQmpqC4hKtHT2XhyniPU3u05kcnH5CmQSVJkiRJkiRJqjkyFcgfWP764m6cs7L8tXF6R5EkqZop3ATjBsL6xfH6IUPgqO8l1SKEwM8fn8mkBati9YPbNuLWAYeQlbXTu9pIkiRJkiRJkqTtyFQg36D8de1unJNX/lqU5lkkSao+SkvhiatgyfR4vcNRcOatsPPHw/yff732GY+9vyhWa90wj/uG96VObnaahpUkSZIkSZIkqWbJVCC/5Wr3VrtxzsHlr8vSPIskSdXHq7+HOU/Ha006wYAxUCs3qRb/mbmEv/zn41itTk429w3vS6uGeTs4S5IkSZIkSZIk7UqmAvnp5a8n7sY5l1H23Pn30j6NJEnVwQfj4Y1b4rW8RjB4ItRtmlSLGYvWcv2E6bFaFMFtAw/hoLaN0jSoJEmSJEmSJEk1U6YC+ceBCLgqiqIOuzo4iqJfA4eVf5xQmYNJkrRXWvgOPH1dvBZlw4UPQov9k2qxZO1mRjw4mfyi0lj9p6d245QerdM1qSRJkiRJkiRJNVamAvlRwBzKniX/WhRFZ0RR7KG2IYqirCiKjomi6BngV5RdHT85hPB0YjtJkmqwVfNhwsVQUhivn/5X6HJCUi02FhQzYtQUvlpfEKsP6NuOK4/tnK5JJUmSJEmSJEmq0WplYpMQQkkURWcBbwHtgaeBTVsd8gxlz5evW/45AhYDF2ZiPkmS9hr5a2HsANi0Ml4//BroNyKpFqWlgesnTGf2knXxFp2b8rtzDiL+O3OSJEmSJEmSJKmiMnWFPCGEz4BDgOcoC9zrlS9FQOfyz1H5z4tAvxDCF5maT5KkKq+kGB65BFZ8HK93PQVO/n3SbW5+4SP+O3tZrNapeT3uGtKH3FoZ+6uBJEmSJEmSJEnVXkaukN8ihLAU+FYURT2As4G+QEsgG1gJTAOeCiFMyeRckiTtFf7zU/jslXitZQ+4YCRkZSfVYsLkz7n7tXmxWqM6OYwc3pfGdXPTNakkSZIkSZIkSSJDgXwURe3L324IIawKIcwCZmVib0mSqoX37oHJ98Zr9VrA4PFQu0FSLd75bCW/eGJmrFYrK+JfQw6lc4v66ZpUkiRJkiRJkiSVy9R9aRcA84GBGdpPkqTqY+5L8J+fxGvZtWHgOGjcfvvnbGP+io1cPWYqxaUhVv/9OQdxZJfm6ZpUkiRJkiRJkiRtJVOB/Oby18kZ2k+SpOrhqznw6KUQSuP1c/4J7fol1WLNpkJGjJrM2s1FsfqVx3ZmYP/kAn1JkiRJkiRJkrT7MhXIf1n+mtwDbiVJEmxcAWMvgoJ18fpxP4WDL0iqRWFxKd8e8z7zVmyM1b95YCt+cmq3dE0qSZIkSZIkSZK2I1OB/Ivlr0dnaD9JkvZuRfkwfjCs+TxeP+h8OP6nSbUIIXDjkzN5Z97KWP3AfRpy24BDyM6K0jWtJEmSJEmSJEnajkwF8n+n7Lb1P4qiqG2G9pQkae8UAjzzXfjivXi9bV84+06IkgvS73tjPhOmfBGrtWxQm5GX9KVe7VrpmlaSJEmSJEmSJO1ARgL5EMJcYDBQF3g3iqLBURTlZmJvSZL2Om/8DT6cEK81agcDx0JOnaRa/Hf2Mv747zmxWl5OFvcN78s+jZLrIUmSJEmSJEmSUpORy+OiKHql/O1yoBMwGhgZRdFcYDVQspPTQwjhxEoeUZKkqmHWE/DK7+O13PowaDw0aJVci8Vr+d74aYQQr9960SH03LdxeuaUJEmSJEmSJEm7lKn71R4PbB0LREBt4KCdnBPKjws7OUaSpOrjy6nwxLfjtSgLLrgfWu/sK/Nry9blM2LUFDYVxn/X7YZTDuC0g/dJ16SSJEmSJEmSJCkJmQrkX8dgXZKkHVu7CMYNguLN8frJf4D9T0mqxebCEq54aApL1+XH6ucd2pZrju+SrkklSZIkSZIkSVKSMhLIhxCOz8Q+kiTtlQo2wLiBsGFZvN7nEjj829s9ZVulpYEfPjKdDxetjdX7d2zKn847mCiK0jSsJEmSJEmSJElKVtaeHkCSpBqttAQevwKWzojXOx0Lp/8NkgzSb/nvxzw/Y2ms1r5pXe4a2ofatbLTNa0kSZIkSZIkSdoNBvKSJO1JL90EHz8frzXbDy56CLJzkmrx2NRF3PnqZ7Fag7xa3H9JX5rWy03ToJIkSZIkSZIkaXcZyEuStKe8/xC8fXu8VqcJDJ5Y9pqESfNX8dPHP4zVsrMi/nnxoezXskG6JpUkSZIkSZIkSRVgIC9J0p4w/w149vvxWlYODBgDzbok1WLhyo1cNXoKRSUhVv/NWT04pmuLdE0qSZIkSZIkSZIqyEBekqRMW/kZTBwKpcXx+rdug45HJ9Vi7eYiRjw4hdWbimL1y47qxJDDO6RpUEmSJEmSJEmSlAoDeUmSMmnzahh7Udnr1o76HvQeklSLopJSrh37Pp9+tSFW/0a3lvzijO7pmlSSJEmSJEmSJKXIQF6SpEwpKYKJw2Dlp/H6AWfAiTcl1SKEwE1Pz+KNuSti9W6tG3D7oN5kZ0VpGlaSJEmSJEmSJKXKQF6SpEwIAZ7/Ecx/PV5vfTCcdw9kJfeVPOrtBTz83uexWvP6tblveF/q166VrmklSZIkSZIkSVIaGMhLkpQJ7/4Tpo6K1+q3hkEToHb9pFq8+tFX/O7Z2bFabq0s7h3Wh32b1E3ToJIkSZIkSZIkKV0M5CVJqmwf/xte+EW8VqsODBoHjdom1eKjpeu4btw0SkO8fsuFvejdvkmaBpUkSZIkSZIkSelkIC9JUmVaOgMeHQFsk6Sfexe0PTSpFsvXFzBi1BQ2FBTH6t8/aX++1atNmgaVJEmSJEmSJEnptsceNhtFUSvgIKBpeWkVMDOEsGxPzSRJUlqtXwZjB0LRxnj9GzdCj3OSapFfVMKVo6fw5ZrNsfrZh7Thuyful6ZBJUmSJEmSJElSZchoIB9FUQRcCVwLHLiDY2YDdwD3hhDC9o6RJKnKK9oM4wfDukXxes+BcMwPk2oRQuCGRz9k2udrYvVD2zfm5vN7Uva1KkmSJEmSJEmSqqqM3bI+iqImwBvAPykL46Md/BwI/At4PYqixpmaT5KktAkBnrwGvpwSr7c7HM66HZIM0m97aS7PfLA4Vtu3SR3uGdaXvJzsdE0rSZIkSZIkSZIqSUaukC+/Mv4p4Mjy0kpgIvAesJSyIL4V0B+4CGhefuxTwHGZmFGSpLT5359h1uPxWuMOMPBhqFU7qRZPTf+Sv788N1arX7sWI4f3o3n95HpIkiRJkiRJkqQ9K1O3rB8MHA0EYCxwTQhh/XaOeyiKop8CdwJDgaOjKBoUQhiXoTklSUrNh4/Aa3+O12o3hMEToF7zpFpMXbiaGx79MFbLiuAfg3tzQOsG6ZpUkiRJkiRJkiRVskzdsn5w+etrIYShOwjjAQghbAghDAdeo+zK+SGZGFCSpJR9MQme+k68FmXBhQ9Ay+7JtVi1iatGT6GwuDRW//W3enD8AS3TNakkSZIkSZIkScqATAXyh1J2dfw/duOcO8pfe6d/HEmS0mz1Qhg/GEoK4vXT/gL7nZRUi/X5RVz+4BRWbCiM1Ycd0YHhR3ZM06CSJEmSJEmSJClTMhXINy1/nb8b52w5tulOj5IkaU/LXwfjBsLG5fF6/yuh/xVJtSguKeW6cdP4eFn8JjLHdG3Or848MF2TSpIkSZIkSZKkDMpUIL+2/LXNbpyz5dh1aZ5FkqT0KS2Bx0bAV7Pj9S4nwil/SrrN75+bw/8+jgf6XVvW586LD6VWdqa+riVJkiRJkiRJUjpl6l/4Z5a/Xrob51y2zbmSJFU9L/4S5r4Yr7XoVvbc+OxaSbUY/c4CRr29IFZrWi+X+y/pR8O8nDQNKkmSJEmSJEmSMi1TgfyjQAScG0XRTVEURTs6MCpzE3AuZc+dfyQzI0qStJsmj4R3/xmv1W0GgydAXqOkWrz2yXJueiZ+dX1udhb3DO1Du6Z10zWpJEmSJEmSJEnaA5K7dC919wLXAt2AG4HzoygaBbwHLKMseG8NHAYMB3qUn/dR+bmVKoqi9sB3gTOA9kAB8CkwEfhnCGFTCr37AscB/YADgRZAU6AQWAy8C4wKIbyaZL9m5bOeA3Sk7Bcd5gNPAreHEFZWdFZJ0m747FV4/oZ4LTsXBjwMTTom1WLusvVc+/D7lJSGWP3mCw6mb8emaRpUkiRJkiRJkiTtKRkJ5EMIRVEUnQa8AnSiLJj+y05OiYB5wGkhhOLKnC2KojOAh4GtL2WsS1mA3g+4PIqi00MI8yq4xW3AUdup5wL7l/8Mi6LoEWBYCCF/J7P2A54C9tlmqWf5z+VRFJ0dQphSwVklSclY/glMHA6hJF4/6w7ocERSLVZuKOCyByezviD+NXfdN/bj3N77pmtSSZIkSZIkSZK0B2XqlvWEEBZSFhrfAqylLHTf3s9a4G/AISGEzytzpiiKelF2FXwjYAPwC+BI4ES+vjL/AOC5KIrqV3CbAuA14E/AMOBkoA9wKvATyq5uB7gQGLWTWdsCz1AWxhdT9gsNx5b//KW81gZ4tvxYSVJl2LgSxl4EBWvj9WN+BL0GJtWioLiEq0ZP5YtVm2P1M3ruw/dP2j9dk0qSJEmSJEmSpD0sU7esByCEsBG4IYqiX1AWSh9E2e3bAVYBM4GpIYTCDI10G2VXwxcDJ4cQ3tlq7ZUoiuZSFnZ3A34A/LYCe5yyk6v8X4ii6A7gZeAIYEAURX8IIczYzrF/AFqVvx8cQnhkq7U3oiiaQtkvF7QCfgdcVoFZJUk7U1wIE4fC6vnx+oFnwwm/SKpFCIGfPjaDKQtXx+q92jXmlgt7kZUVpWtaSZIkSZIkSZK0h2XsCvmthRAKQwjvhBDuDSHcXP5zb3ktI2F8+e3fjy//OHKbMH6LW4A55e+vj6IoZ3f32dUt90MIm4G/b1U6djuztgKGlH98YZswfkufR4AXyj8OKz9HkpQuIcCz34eFb8XrbXrDOXdBVnJfqXe++ilPTPsy3qJRHvcO60NeTna6ppUkSZIkSZIkSVXAHgnkq4hztnr/wPYOCCGUAg+Vf2zC1wF+um3c6n3edtbPArakNNudtdyo8tfs8nMkSeny1t9h+ph4rWFbGDQecusm1eK5D5fwtxc/idXq5WZz3/B+tGywvf/4lyRJkiRJkiRJe7OaHMgfU/66EZi6k+Ne2+r90ZU0y6Ct3n+0nfVjtnr/2nbWt7dWWbNKUs0z5xl46aZ4LadeWRjfoHVSLT74Yg0/mDg9VosiuH1Qbw5s0zA9c0qSJEmSJEmSpColrc+Qj6Jo2Jb3IYSHtleviK17pVH38tdPd3Fb+a0D8u47PGo3RFGUBbQAegDX8fXV+h/z9W3nt7Zl37UhhKU76htCWBJF0Tqg4e7OGkXRvrs45P8Sp82bN7N58+bdaV/l5Ofnb/e9JG0rWvohtR+/gojwf7VAROG37qS0cVdI4j8PF6/NZ8SDUygoLo3Vf/zN/TiyY8O9/j9Taxq/QyRJFeH3hySpIvz+kCRVlN8h0u6rrH+rj0IIuz4q2WZRVAoEIIQQam2nXhGxXukQRVEesOV/os+FEM7cxfEbgHrAuyGEI1LYdwHQYQfLC4EzQgiztnPeUqAVMCuEcNAu9phJWdC/NISwz27MlvT/fu677z6aN2+e7OGStNfKK1zFsZ/8hjpFq2P1WW0G8GmrM5LqkV8Cf5+ZzeJNUax+ZMtSLupcShTt4ERJkiRJkiRJkpQxK1as4PLLL9/ysV0IYVE6+lbGLeuj8p8d1Svyk24Ntnq/IYnjtzzjvX4lzFIM/Aroub0wvtyWeff0rJJUY2SXFHDYvNsSwviFTY/l05anJ9WjNMDouVkJYfz+jUq5oJNhvCRJkiRJkiRJ1V1arzwHOu1mfU/J2+p9YRLHF5S/1klx35OBXMp+EaIZcBTwbeCXQNcoiq4JIWwvdN8yb2XO2m4X662ByQDHHnss++67qzvcV235+fm8/vrrQNmfJy8vbxdnSKpRQim5T15B9uYFsXJJuyNoOWAMJ2fnJtXmLy/OZebqL2K1Ts3q8tCIPjSqk5OuaZVhfodIkirC7w9JUkX4/SFJqii/Q6Tdt2hRWi6IT5DWQD6EsHB36nvQ1g/LSCZVqV3+mtKDA0IIn2xTejWKojspe278UKBXFEVHhxDWb3NcPlC3Mmfd1S0Xoq0u46xTpw516qT6uwlVR15eXrX680hKg5d/C588F6817Uz2oLHUqdsoqRbjJn3OA+/Ew/jGdXN44NL+tG5aL12Tag/zO0SSVBF+f0iSKsLvD0lSRfkdIiWnsv7/pDJuWb832DrwTubW7luSk2RuGb9bQgirgeHlH3sCP9vOYVvm3aOzSlKNMH0cvHFLvJbXCAZPhLpNk2rx1qcruPHJmbFaTnbEXUP60LG5YbwkSZIkSZIkSTVFjQzkQwj5wIryjzu993oURU34OuT+YmfHpjDPHGBu+ccLtnPIlqvXk7lP/JZbz1fKrJJUrS18G56+Ll7LqgUXPQTNuybV4rPlG/j2mKkUl4ZY/Y/nHszhnZula1JJkiRJkiRJkrQXqJGBfLk55a/7RVG0s1v3d9vOOZVheflrh+2szS5/bRRFUesdNYiiaB+gYfnHypxVkqqfVfNg/MVQWhSvn/436Hx8Ui1WbyxkxKjJrMsvjtW/fXwXLuzbbgdnSZIkSZIkSZKk6iqtz5CPouj+dPYrF0IIIyqh75vAMZRd/d4HeG8Hxx231fu3KmGOLdqWv27vVvNvUvaM+S3zTNhBj0zNKknVy+Y1MHYgbF4Vrx/+Heh7aVItCotLuXrMVBas3BSrn9KjFTecfECaBpUkSZIkSZIkSXuTtAbywCVA2NVBuyEq71cZgfyTfP289kvZTiAfRVEWMKz84xrg1UqYgyiK+vH1lfEztnPI08C/KLujwaXsOJC/pPy1tPwcSdKulBTDI5fAio/j9a6nwMm/S6pFCIFfPDGD9+bHA/2D2jbk1gGHkJUVpWlYSZIkSZIkSZK0N0l3IP856Q3kK00IYVIURW9QdpX8iCiKHgwhvLPNYT8Eupe//3sIIXYf4yiKLgEeKP/4mxDCTdus9weKQwjv72iOKIraAg9uVRq9nVmXRlH0MGVXyZ8SRdEFIYRHt+lzIXDKlh4hhKU72lOStJX//ATmbfP7Vi17wAUjISs7qRZ3vz6PR6YuitVaNazNfcP6UTc33V+1kiRJkiRJkiRpb5HWlCCE0DGd/TLge5Td2r0O8GIURX+k7Cr4OsBA4Mry4z4BbqlA/wOBB6Ioeht4BpjO18+KbwucQNkV743Kay/xdcC/rV8ApwItgHFRFPUFni1fO5OyXx6gvP8vKzCrJNU8790Dk++L1+q1hMHjoXaDpFr8Z+ZSbv7PR7FanZxsRg7vR+tGeemaVJIkSZIkSZIk7YVq9GV7IYRpURQNAMYADYE/buewT4AzQgjrU9jqyPKfnRkFfCeEULqDWb+IouhblN1qvzXwk/KfrS0FzgkhLEKStHNzXyq7On5r2bVh0Dho3D6pFjO/XMv3J0wnbHVvmCiC2wYewkFtG+34REmSJEmSJEmSVCPU6EAeIITwTBRFPSm7Wv4MYF+gEPgUeAT4RwhhUwXbTwAWA9+gLJBvC7QEcoF1wFzKrtAfHUL4MIlZ34ui6ODyWc8BOpYvzQeeAm4LIays4KySVHMsm1323Phtfwfq3H/Bvn2TarF0bT4jHpzM5qKSWP0np3bjlB6t0zSoJEmSJEmSJEnam9X4QB4ghLAQ+EH5z+6cN4qyK9t3tL4ZeLH8Jy1CCCuAG8t/JEm7a8NyGDcACre58cnxP4eDzk+qxabCYi5/aDLL1hXE6hf13Zerju2crkklSZIkSZIkSdJeLuOBfBRFTSl7bvpJwEFA0/KlVcBMyp+jHkJYlenZJEnVXFE+TLgY1nwerx90ARz346RalJYGvj9hOjO/XBerH9apKb8/52CiKErXtJIkSZIkSZIkaS+X0UA+iqKrgL8BdbeUtlpuC7QBTgZuiqLohyGEezI5nySpGgsBnr4OvngvXt+3H5x9Z9nD35Pwlxc+5oVZy2K1js3qcteQPuTWykrXtJIkSZIkSZIkqRrIWCAfRdFPgT/wdQi/FpgGLC2vtQJ6A42AesC/oihqHEL4S6ZmlCRVY6//DWZMjNcatYOBYyEnL6kWE6d8wV2vfRarNcyrxchL+tGkXm66JpUkSZIkSZIkSdVERgL5KIoOAn5HWfC+BLgBeCSEULTNcbWAC4G/Una1/O+jKHouhDArE3NKkqqpmY/Dq7+P13Lrw+AJUL9lUi3enbeSXzwxI1arlRVx15A+dGlRP12TSpIkSZIkSZKkaiRT99a9FsgGlgNHhBDGbhvGA4QQikMI44AjgK/Kz7k2QzNKkqqjL6fCk9+O16IsuOB+aNUjqRYLVmzk6jFTKSoJsfrvzzmII/drnq5JJUmSJEmSJElSNZOpQP4bQAD+FEL4fFcHhxC+AG6m7Ir6Eyt5NklSdbV2EYwbBMX58fopf4T9T0muxaYiLhs1mTWb4r9HdsUxnRjYv326JpUkSZIkSZIkSdVQpgL5tuWvb+/GOW+Vv7ZJ8yySpJqgYAOMHQgblsXrfS+Dw65OqkVRSSnffngq81ZsjNVP6t6Kn57WPV2TSpIkSZIkSZKkaipTgXxJ+evuPLN+y7GlaZ5FklTdlZbA41fAsvgz3+l0HJz2F4iiXbYIIfCrp2bx9mcrY/Xu+zTk7wMPITtr1z0kSZIkSZIkSVLNlqlAfstt6nfn9vNbjt3lLe4lSYp56dfw8fPxWrOucNGDkJ2TVIuRb85n3KT4V1CLBrUZObwv9Wrvzu+XSZIkSZIkSZKkmipTgfx/KXse/I+iKDp4VwdHUdQTuIGy586/WMmzSZKqk6kPwtt3xGt1msDgCWWvSXhp9jL+8PycWK12rSzuG9aXNo3rpGtSSZIkSZIkSZJUzWUqkL8NKADqA29GUXRDFEXNtz0oiqLmURT9GHi9/NiC8nMlSdq1+a/Dcz+I17JyYMAYaNYlqRazF6/ju+OnEUK8fuuAQ+jVrnF65pQkSZIkSZIkSTVCRu65G0JYGEXRVcADlAXtfwb+FEXRAmAZZVfCtwY6UnYlfVReuyqE4C3rJUm7tvIzmDAUSovj9W/dBh2PTqrFV+vyufzByWwqLInVbzjlAE4/eJ80DSpJkiRJkiRJkmqKjD0EN4TwUBRFK4G7gLaUhe6dgU7lh0RbHb4YuDKEsM0DgCVJ2o5Nq2DsRZC/Jl4/6nroPSSpFvlFJVzx0BQWr82P1c/r3ZZrjk/u6npJkiRJkiRJkqStZSyQBwghPBdFUSfgXOAk4CCgafnyKmAm8BLwRAihePtdJEnaSkkRTBwGKz+N17udCSf+OqkWpaWBH078gA8WrY3V+3Zowp/OP5goinZwpiRJkiRJkiRJ0o6lNZCPoqhn+duPQgiF2zumPGh/pPxHkqSKC6HsmfEL3ojXW/eE8+6BrKyk2tz60ic8N2NJrNa+aV3uHtqH2rWy0zWtJEmSJEmSJEmqYdJ9hfx0oBToCczeUoyi6Fflb/8ZQliR5j0lSTXVO3fC+w/Fa/Vbw+AJkFsvqRZPTFvEHa/Er65vkFeL+y/pS7P6tdM1qSRJkiRJkiRJqoEq45b127uv701AAB4FDOQlSan7+N/w4i/jtVp1YNA4aNgmqRZTFqziJ4/OiNWysyLuHHwo+7VskK5JJUmSJEmSJElSDZXcvXyTV1T+WifNfSVJ+trSGfDoCMp+12sr590NbQ9NqsXnKzdx5eipFJaUxuo3ndWDY/dvkaZBJUmSJEmSJElSTZbuQH5Z+WufNPeVJKnM+mUwdiAUbYzXT/wVHHh2Ui3W5Rdx2YOTWbWxMFa/5MiODD28Q7omlSRJkiRJkiRJNVy6b1n/OjAYuDmKoi7AJ3x91TzA2VEU9d3dpiGEh3Z9lCSp2ivaDOMHwbpF8XqvQXD0D5JqUVxSyncefp9Pv9oQq59wQAtuPPPAdE0qSZIkSZIkSZKU9kD+T8C5QCPgR9usRcDvK9AzAAbyklTTlZbCk9+GL6fG6+2PgG/9HaIoqTa/fXY2b8xdEasd0KoBtw/qTXZWcj0kSZIkSZIkSZKSkdZb1ocQZgHHAi9RdmV8VP6zRVTBH0lSTffan2HWE/Fak44w4GGoVTupFqPems9D7yyM1ZrXz+W+4X1pkJeTpkElSZIkSZIkSZLKpPsKeUIIU4GToyiqBTQH8oB5lF3pfgowN917SpKquQ8nwms3x2u1G8KgCVCvWVItXv34K3777OxYLbdWFncP7Uu7pnXTNakkSZIkSZIkSdL/SXsgv0UIoRhYChB9fRvhxSGEhTs8SZKkbX3+Hjz1nXgtyoYLH4CW3ZJq8fHS9Vw3dhqlIV7/24W96NOhSZoGlSRJkiRJkiRJiqu0QH4bvyl//SpD+0mSqoPVC2H8YCgpjNdPuxn2OympFis2FHDZqMlsKCiO1a8/qStn9WqTrkklSZIkSZIkSZISZCqQf7X8dWOyJ0RRlAf0BwghvF4ZQ0mSqrD8dTBuIGxaEa/3vwr6X5Fci6ISrnxoCl+u2Ryrn9WrDd87sWu6JpUkSZIkSZIkSdquTAXy/wNKgZ7A7J0f+n/abnVepuaUJFUFJcXw6GXw1TZfGfudBKf8MakWIQR+/OiHvP/5mli9d/vG/OWCnls/TkWSJEmSJEmSJKlSZGVwr4omHyYmklTTvPhL+PS/8VqL7nDB/ZCd3O9o3f7ypzz9weJYrW3jOtwztC95OdnpmlSSJEmSJEmSJGmHMhnI764ts5Xs0SkkSZk1+T5471/xWt3mMHg85DVKqsXTHyzm1pc+idXq167F/Zf0o0WD2umaVJIkSZIkSZIkaaeqciDfsfx17Z4cQpKUQZ+9As//OF7LzoWBY6FJx6RavP/5an70yAexWlYEdwzqzQGtG6RpUEmSJEmSJEmSpF2rlGezR1HUfgdL+0RRtGEXp9cGugC/AwIwK52zSZKqqOUfw8RLIGxzY5Sz74T2hyXVYtHqTVz50BQKi0tj9RvPPJATurVM06CSJEmSJEmSJEnJqZRAHpi/nVoEvFiBXg+lOIskqarbuBLGXgQF29wU5dgboOdFSbVYn1/EiFFTWLGhMFYfengHLjmyY5oGlSRJkiRJkiRJSl5lBfLRbta3Jx+4PYRwfxrmkSRVVcUFMGEIrF4Qrx94Dhz/86RalJQGvjtuGh8vWx+rH9O1Ob/+1oFE0e58/UiSJEmSJEmSJKVHZQXyl27z+QHKbj9/I/DlTs4LlAXxS4BpIYRd3d5ekrQ3CwGeuR4+fzteb3MonPMvyMpKqs3vn5vNqx8vj9X2a1mffww+lFrZyfWQJEmSJEmSJElKt0oJ5EMID279OYqiB8rfPhlCmF0Ze0qS9kJv3QYfjI3XGraFQeMgt25SLUa/u5AH3loQqzWtl8v9w/vRqE5OeuaUJEmSJEmSJEmqgMq6Qn5bJ1B29fv2ni0vSaqJZj8NL90Ur+XUg0HjoUHrpFq8MXc5Nz09K1bLzc7i7qF9aN8suUBfkvT/2bvzMDvL+n7872cmM5nsISEkJEAgrCERkEUJAioqIItiF6otbhUFW/vrt2hb22rdaxexi7ZKwWqrfrV8bd0QAXcii+xIQlhDWBIIYcs+yWTm+f0xwyRPMoRMcs6ZmczrdV1znXN/nvu5z4dLM+eP99z3AwAAAADUS6PO8f1ykq8keVeDPg+AwWzZ7cn/vmerYpH85mXJ3kfs0BIPPLk6f/D129LZVVbqf/ubL8lx+0+qUaMAAAAAAAA7r1E75PdJ0pzkjgZ9HgCD1aplyTfekmxaX62/7uPJYWfs0BLPrN2Y3//KLVndvqlSf9+rD8pvHL1PrToFAAAAAADYJY0K5J9IMiPJ+hebCMBuoH1Vd/C+cW3SOiYZPz1pG989/sabk9WPV+e/9K3JCX+0Q0tv2NSZC756Sx55Zl2lfsZLpuWi1x1Sq/8CAAAAAACAXdaoQP5XSX4jyZwktzboMwFopLJMlsxPbro0uecHSdm5+VrRnBx2VrL2yeTxO6v37X9ScuZnk6LYgY8o8xf/e1duXvJspX7kPhNy8W8flaamF18DAAAAAACgURoVyH8hyW8m+ZOiKL5RlmVHgz4XgEZYdkfy7QuTFYv6vl52Jou+u2190oHJuf+VjGjdoY/5t58/mP+9bWmltveEtlz6tmMzqrW5n00DAAAAAADUV1MjPqQsy58m+XSSI5NcURTFvo34XAAa4MGfJl8+44XD+BfSMib53cuT0ZN2aPqVdz2ef7j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\n",
      "text/plain": [
       "<Figure size 2400x1600 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = df_result_robust.plot(x=\"risk\", y=\"return\", style=\"-o\", xlabel=\"portfolio risk (std. dev.)\", ylabel=\"portfolio return\", grid=True)\n",
    "df_result_orig.plot(ax=ax, x=\"risk\", y=\"return\", style=\"-o\", xlabel=\"portfolio risk (std. dev.)\", ylabel=\"portfolio return\", grid=True)   \n",
    "ax.legend([\"robust return\", \"return\"]);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Plot the portfolio composition for both cases."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2400x1600 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2400x1600 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot portfolio composition\n",
    "my_cmap = LinearSegmentedColormap.from_list(\"non-extreme gray\", [\"#111111\", \"#eeeeee\"], N=256, gamma=1.0)\n",
    "ax1 = df_result_robust.set_index('risk').iloc[:, 3:].plot.area(colormap=my_cmap, xlabel='portfolio risk (std. dev.)', ylabel=\"x\")\n",
    "ax1.grid(which='both', axis='x', linestyle=':', color='k', linewidth=1)\n",
    "ax2 = df_result_orig.set_index('risk').iloc[:, 3:].plot.area(colormap=my_cmap, xlabel='portfolio risk (std. dev.)', ylabel=\"x\") \n",
    "ax2.grid(which='both', axis='x', linestyle=':', color='k', linewidth=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.7"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}