ml-finance-python

python scripts for finance machine learning

git clone https://9o.is/git/ml-finance-python.git

capacity_analysis.ipynb

(487228B)


      1 {
      2  "cells": [
      3   {
      4    "cell_type": "markdown",
      5    "metadata": {},
      6    "source": [
      7     "# Capacity Analysis\n",
      8     "By Dr. Thomas Wiecki\n",
      9     "\n",
     10     "Notebook released under the Creative Commons Attribution 4.0 License.\n",
     11     "\n",
     12     "---"
     13    ]
     14   },
     15   {
     16    "cell_type": "code",
     17    "execution_count": 3,
     18    "metadata": {
     19     "collapsed": false
     20    },
     21    "outputs": [],
     22    "source": [
     23     "from IPython import parallel\n",
     24     "c = parallel.Client()\n",
     25     "view = c.load_balanced_view()"
     26    ]
     27   },
     28   {
     29    "cell_type": "code",
     30    "execution_count": 108,
     31    "metadata": {
     32     "collapsed": false
     33    },
     34    "outputs": [
     35     {
     36      "name": "stdout",
     37      "output_type": "stream",
     38      "text": [
     39       "0.7.0\n",
     40       "CERN\n",
     41       "DLTR\n",
     42       "ROST\n",
     43       "SBUX\n",
     44       "HMSY\n",
     45       "BWLD\n",
     46       "IRBT\n",
     47       "IPGP\n"
     48      ]
     49     }
     50    ],
     51    "source": [
     52     "%matplotlib inline\n",
     53     "from __future__ import division\n",
     54     "import matplotlib.pyplot as plt\n",
     55     "import pandas as pd\n",
     56     "import seaborn as sns\n",
     57     "sns.set_context('talk')\n",
     58     "sns.set_palette('hls', n_colors=7)\n",
     59     "import zipline\n",
     60     "print zipline.__version__\n",
     61     "\n",
     62     "import pytz\n",
     63     "from datetime import datetime\n",
     64     "\n",
     65     "from zipline.utils.factory import load_bars_from_yahoo\n",
     66     "\n",
     67     "# Load data manually from Yahoo! finance\n",
     68     "start = datetime(2009, 1, 1, 0, 0, 0, 0, pytz.utc)\n",
     69     "end = datetime(2012, 1, 1, 0, 0, 0, 0, pytz.utc)\n",
     70     "large_cap = load_bars_from_yahoo(stocks=['CERN', 'DLTR', 'ROST', 'SBUX'], \n",
     71     "                            start=start,\n",
     72     "                            end=end)\n",
     73     "\n",
     74     "# Taken from http://www.forbes.com/sites/brettnelson/2011/10/19/fifteen-small-company-stocks-to-buy-right-now/\n",
     75     "small_cap = load_bars_from_yahoo(stocks=['HMSY', 'BWLD', 'IRBT', 'IPGP'], \n",
     76     "                            start=start,\n",
     77     "                            end=end)"
     78    ]
     79   },
     80   {
     81    "cell_type": "code",
     82    "execution_count": 109,
     83    "metadata": {
     84     "collapsed": false
     85    },
     86    "outputs": [
     87     {
     88      "data": {
     89       "text/plain": [
     90        "126731320.05025575"
     91       ]
     92      },
     93      "execution_count": 109,
     94      "metadata": {},
     95      "output_type": "execute_result"
     96     }
     97    ],
     98    "source": [
     99     "(large_cap.loc[:, :, 'volume'].mean() * large_cap.loc[:, :, 'price'].mean()).mean()"
    100    ]
    101   },
    102   {
    103    "cell_type": "code",
    104    "execution_count": 110,
    105    "metadata": {
    106     "collapsed": false
    107    },
    108    "outputs": [
    109     {
    110      "data": {
    111       "text/plain": [
    112        "11952436.55884986"
    113       ]
    114      },
    115      "execution_count": 110,
    116      "metadata": {},
    117      "output_type": "execute_result"
    118     }
    119    ],
    120    "source": [
    121     "(small_cap.loc[:, :, 'volume'].mean().mean() * small_cap.loc[:, :, 'price'].mean()).mean()"
    122    ]
    123   },
    124   {
    125    "cell_type": "code",
    126    "execution_count": 112,
    127    "metadata": {
    128     "collapsed": false
    129    },
    130    "outputs": [],
    131    "source": [
    132     "%%px --local\n",
    133     "\n",
    134     "import zipline.utils.factory as factory\n",
    135     "from zipline.algorithm import TradingAlgorithm\n",
    136     "from zipline.api import order_target_percent, record, symbol, history, add_history, get_open_orders, get_datetime, set_slippage\n",
    137     "from zipline.finance.slippage import VolumeShareSlippage\n",
    138     "import numpy as np\n",
    139     "import math\n",
    140     "from pytz import timezone\n",
    141     "from zipline.api import symbols\n",
    142     "\n",
    143     "def initialize(context):\n",
    144     "    set_slippage(VolumeShareSlippage(volume_limit=0.5,\n",
    145     "                                     price_impact=1.5))\n",
    146     "    context.eps = 1 # change epsilon here\n",
    147     "    context.init = False\n",
    148     "    context.previous_datetime = None\n",
    149     "    context.i = 0\n",
    150     "    \n",
    151     "    add_history(30, '1d', 'price')\n",
    152     "    add_history(30, '1d', 'volume')\n",
    153     "    \n",
    154     "def handle_data(context, data):\n",
    155     "    context.i += 1\n",
    156     "    if context.i < 30: return\n",
    157     "    \n",
    158     "    current_datetime = get_datetime().astimezone(timezone('US/Eastern'))\n",
    159     "    \n",
    160     "    cash = context.portfolio.cash\n",
    161     "    record(cash=cash)\n",
    162     "            \n",
    163     "    if not context.init:\n",
    164     "        context.stocks = data.keys()\n",
    165     "    \n",
    166     "        context.m = len(context.stocks)\n",
    167     "        context.b_t = np.ones(context.m) / context.m\n",
    168     "        # Equal weighting portfolio\n",
    169     "        for stock, percent in zip(context.stocks, context.b_t):\n",
    170     "            order_target_percent(stock, percent)\n",
    171     "        context.init = True\n",
    172     "      \n",
    173     "    # only execute algorithm once per day\n",
    174     "    if context.previous_datetime != None:\n",
    175     "        if current_datetime.day != context.previous_datetime.day:\n",
    176     "            new_day = True\n",
    177     "            algo_executed = False\n",
    178     "        else:\n",
    179     "            new_day = False\n",
    180     "    else:\n",
    181     "        new_day = False\n",
    182     "        algo_executed = True\n",
    183     "        \n",
    184     "    context.previous_datetime = current_datetime\n",
    185     "    \n",
    186     "    if not new_day or algo_executed == True:\n",
    187     "        return\n",
    188     "        \n",
    189     "    # skip tic if any orders are open or any stocks did not trade\n",
    190     "    for stock in context.stocks:\n",
    191     "        if bool(get_open_orders(stock)) or data[stock].datetime < get_datetime():\n",
    192     "            return\n",
    193     "        \n",
    194     "    # compute current portfolio allocations\n",
    195     "    for i, stock in enumerate(context.stocks):\n",
    196     "        context.b_t[i] = context.portfolio.positions[stock].amount*data[stock].price\n",
    197     "        \n",
    198     "    # Bring portfolio vector to unit length\n",
    199     "    context.b_t = context.b_t / np.sum(context.b_t)\n",
    200     "\n",
    201     "    # Compute new portfolio weights according to OLMAR algo.\n",
    202     "    b_norm = np.zeros((context.m, 28))\n",
    203     "    x_tilde = np.zeros((context.m, 28))\n",
    204     "    for k in range(28):\n",
    205     "        b_norm[:,k],x_tilde[:,k] = olmar(context,k+3)\n",
    206     "        \n",
    207     "    s = np.zeros(28)\n",
    208     "    b_norm_opt = np.zeros(context.m)\n",
    209     "    s_sum = 0\n",
    210     "    for k in range(28):\n",
    211     "        s[k] = np.dot(b_norm[:,k],x_tilde[:,k])\n",
    212     "        b_norm[:,k] = np.multiply(s[k],b_norm[:,k])\n",
    213     "        b_norm_opt += b_norm[:,k]\n",
    214     "        s_sum += s[k]\n",
    215     "        \n",
    216     "    b_norm_opt = np.divide(b_norm_opt,s_sum)\n",
    217     "    \n",
    218     "    #print b_norm_opt\n",
    219     "    \n",
    220     "    # Rebalance Portfolio\n",
    221     "    for stock, percent in zip(context.stocks, b_norm_opt):\n",
    222     "        order_target_percent(stock, percent)\n",
    223     "    \n",
    224     "    algo_executed = True\n",
    225     "\n",
    226     "def olmar(context,window):\n",
    227     "    \"\"\"Logic of the olmar algorithm.\n",
    228     "\n",
    229     "    :Returns: b_norm : vector for new portfolio\n",
    230     "    \"\"\"\n",
    231     "    \n",
    232     "    # get history -- prices and volums of the last 5 days (at close)\n",
    233     "    p = history(30, '1d', 'price')\n",
    234     "    v = history(30, '1d', 'volume')\n",
    235     "    \n",
    236     "    prices = p.ix[30-window:-1]\n",
    237     "    volumes = v.ix[30-window:-1]\n",
    238     "    \n",
    239     "    # find relative moving volume weighted average price for each secuirty\n",
    240     "    x_tilde = np.zeros(context.m)\n",
    241     "    for i, stock in enumerate(context.stocks):\n",
    242     "        vwa_price = np.dot(prices[stock], volumes[stock]) / np.sum(volumes[stock])\n",
    243     "        x_tilde[i] = vwa_price/prices[stock].ix[-1]\n",
    244     "    \n",
    245     "    ###########################\n",
    246     "    # Inside of OLMAR (algo 2)\n",
    247     "    x_bar = x_tilde.mean()\n",
    248     "\n",
    249     "    # Calculate terms for lambda (lam)\n",
    250     "    dot_prod = np.dot(context.b_t, x_tilde)\n",
    251     "    num = context.eps - dot_prod\n",
    252     "    denom = (np.linalg.norm((x_tilde-x_bar)))**2\n",
    253     "\n",
    254     "    # test for divide-by-zero case\n",
    255     "    if denom == 0.0:\n",
    256     "        lam = 0 # no portolio update\n",
    257     "    else:     \n",
    258     "        lam = max(0, num/denom)\n",
    259     "    \n",
    260     "    b = context.b_t + lam*(x_tilde-x_bar)\n",
    261     "\n",
    262     "    b_norm = simplex_projection(b)\n",
    263     "    \n",
    264     "    return b_norm,x_tilde\n",
    265     "\n",
    266     "def simplex_projection(v, b=1):\n",
    267     "    v = np.asarray(v)\n",
    268     "    p = len(v)\n",
    269     "\n",
    270     "    # Sort v into u in descending order\n",
    271     "    v = (v > 0) * v\n",
    272     "    u = np.sort(v)[::-1]\n",
    273     "    sv = np.cumsum(u)\n",
    274     "\n",
    275     "    rho = np.where(u > (sv - b) / np.arange(1, p+1))[0][-1]\n",
    276     "    theta = np.max([0, (sv[rho] - b) / (rho+1)])\n",
    277     "    w = (v - theta)\n",
    278     "    w[w<0] = 0\n",
    279     "    return w"
    280    ]
    281   },
    282   {
    283    "cell_type": "code",
    284    "execution_count": 113,
    285    "metadata": {
    286     "collapsed": false
    287    },
    288    "outputs": [],
    289    "source": [
    290     "def run_algo(data, capital_base):\n",
    291     "    sim_params = factory.create_simulation_parameters(capital_base=capital_base)\n",
    292     "\n",
    293     "    algo_obj = TradingAlgorithm(initialize=initialize,\n",
    294     "                                handle_data=handle_data,\n",
    295     "                                sim_params=sim_params)\n",
    296     "    \n",
    297     "    perf = algo_obj.run(data)\n",
    298     "    return perf"
    299    ]
    300   },
    301   {
    302    "cell_type": "markdown",
    303    "metadata": {},
    304    "source": [
    305     "# Run large cap universe"
    306    ]
    307   },
    308   {
    309    "cell_type": "code",
    310    "execution_count": 141,
    311    "metadata": {
    312     "collapsed": false
    313    },
    314    "outputs": [],
    315    "source": [
    316     "test_vals = [1e3, 1e4, 1e5, 5e5, 1e6, 5e6, 1e7]"
    317    ]
    318   },
    319   {
    320    "cell_type": "code",
    321    "execution_count": 142,
    322    "metadata": {
    323     "collapsed": false
    324    },
    325    "outputs": [
    326     {
    327      "name": "stdout",
    328      "output_type": "stream",
    329      "text": [
    330       "   7/7 tasks finished after   71 s\n",
    331       "done\n"
    332      ]
    333     }
    334    ],
    335    "source": [
    336     "perfs_lc = view.map_async(run_algo, [large_cap]*len(test_vals), test_vals)\n",
    337     "perfs_lc.wait_interactive()"
    338    ]
    339   },
    340   {
    341    "cell_type": "code",
    342    "execution_count": 143,
    343    "metadata": {
    344     "collapsed": false
    345    },
    346    "outputs": [],
    347    "source": [
    348     "perfs_lc = perfs_lc.get()"
    349    ]
    350   },
    351   {
    352    "cell_type": "markdown",
    353    "metadata": {},
    354    "source": [
    355     "# Run small cap universe"
    356    ]
    357   },
    358   {
    359    "cell_type": "code",
    360    "execution_count": 144,
    361    "metadata": {
    362     "collapsed": false
    363    },
    364    "outputs": [
    365     {
    366      "name": "stdout",
    367      "output_type": "stream",
    368      "text": [
    369       "   7/7 tasks finished after   71 s\n",
    370       "done\n"
    371      ]
    372     }
    373    ],
    374    "source": [
    375     "perfs_sc = view.map_async(run_algo, [small_cap]*len(test_vals), test_vals)\n",
    376     "perfs_sc.wait_interactive()"
    377    ]
    378   },
    379   {
    380    "cell_type": "code",
    381    "execution_count": 145,
    382    "metadata": {
    383     "collapsed": false
    384    },
    385    "outputs": [],
    386    "source": [
    387     "perfs_sc = perfs_sc.get()"
    388    ]
    389   },
    390   {
    391    "cell_type": "markdown",
    392    "metadata": {},
    393    "source": [
    394     "# Analyse results"
    395    ]
    396   },
    397   {
    398    "cell_type": "code",
    399    "execution_count": 155,
    400    "metadata": {
    401     "collapsed": false
    402    },
    403    "outputs": [
    404     {
    405      "data": {
    406       "image/png": 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KghXHJgHYw4G7QjbnvQ13TSKKZGyodlm9Pf5N4CdvtutLUK7jmFD9LL8t5hIM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MGWrbjKRH9guSdUM3Eddin9Aaw38ifAGd5YKOXcFrGKXmzfcmBIpsmNMfcBZ2MF3stAhYjcKyJ9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\nTkSuQmCC\n",
    407       "text/plain": [
    408        "<matplotlib.figure.Figure at 0x7f658342c4d0>"
    409       ]
    410      },
    411      "metadata": {},
    412      "output_type": "display_data"
    413     }
    414    ],
    415    "source": [
    416     "ax1 = plt.subplot(2, 1, 1)\n",
    417     "results = [(cpt_base, np.cumsum(np.log(1 + perf.returns))) for cpt_base, perf in zip(test_vals, perfs_lc)]\n",
    418     "for capital, rets in results:\n",
    419     "    rets.plot(ax=ax1, label=capital)\n",
    420     "plt.ylabel('cumulative returns in %')\n",
    421     "plt.title('Capacity analysis\\nIdentical algorithm with different capital bases')\n",
    422     "plt.title('Large cap stocks')\n",
    423     "ax1.set_xticks([])\n",
    424     "\n",
    425     "ax2 = plt.subplot(2, 1, 2)\n",
    426     "results = [(cpt_base, np.cumprod((1 + perf.returns)) - 1) for cpt_base, perf in zip(test_vals, perfs_sc)]\n",
    427     "for capital, rets in results:\n",
    428     "    rets.plot(ax=ax2, label=capital, sharex=ax1)\n",
    429     "plt.legend(loc=3)\n",
    430     "plt.ylabel('cumulative returns in %')\n",
    431     "plt.title('Small cap stocks')\n",
    432     "plt.savefig('cap_rets.png')"
    433    ]
    434   },
    435   {
    436    "cell_type": "code",
    437    "execution_count": 152,
    438    "metadata": {
    439     "collapsed": false
    440    },
    441    "outputs": [
    442     {
    443      "data": {
    444       "image/png": 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TcDFJoJFp3Mi01prMAhBMC4qAnkCv6Cv1515ZtyfpSZICCrY/Zpcd2nb3lwi7mDGzLwEf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\nAAAAAElFTkSuQmCC\n",
    445       "text/plain": [
    446        "<matplotlib.figure.Figure at 0x7f6582cdfa10>"
    447       ]
    448      },
    449      "metadata": {},
    450      "output_type": "display_data"
    451     }
    452    ],
    453    "source": [
    454     "ax1 = plt.subplot(2, 1, 1)\n",
    455     "\n",
    456     "results = np.array([(cpt_base, perf.iloc[-1].portfolio_value) for cpt_base, perf in zip(test_vals, perfs_lc)])\n",
    457     "slope = (results[1, 1] - results[0, 1]) / (results[1, 0] - results[0, 0])\n",
    458     "intercept = results[0, 1] - results[0, 0] * slope\n",
    459     "y = slope * test_vals[-1] + intercept\n",
    460     "ax1.loglog((test_vals[0], test_vals[-1]), (results[0, 1], y), label='expected')\n",
    461     "ax1.loglog(results[:, 0], results[:, 1], 'g', label='actual')\n",
    462     "ax1.loglog(results[:, 0], results[:, 1], 'go')\n",
    463     "#plt.xlabel('Starting capital')\n",
    464     "plt.ylabel('Ending capital')\n",
    465     "plt.legend(loc=0)\n",
    466     "plt.title('Large cap stocks')\n",
    467     "ax1.set_xticks([])\n",
    468     "\n",
    469     "ax2 = plt.subplot(2, 1, 2)\n",
    470     "results = np.array([(cpt_base, perf.iloc[-1].portfolio_value) for cpt_base, perf in zip(test_vals, perfs_sc)])\n",
    471     "slope = (results[1, 1] - results[0, 1]) / (results[1, 0] - results[0, 0])\n",
    472     "intercept = results[0, 1] - results[0, 0] * slope\n",
    473     "y = slope * test_vals[-1] + intercept\n",
    474     "ax2.loglog((test_vals[0], test_vals[-1]), (results[0, 1], y), label='expected')\n",
    475     "ax2.loglog(results[:, 0], results[:, 1], 'g', label='actual')\n",
    476     "ax2.loglog(results[:, 0], results[:, 1], 'go')\n",
    477     "plt.xlabel('Starting capital in $')\n",
    478     "plt.ylabel('Ending capital in $')\n",
    479     "plt.title('Small cap stocks')\n",
    480     "plt.savefig('cap_capital.png')"
    481    ]
    482   },
    483   {
    484    "cell_type": "code",
    485    "execution_count": 121,
    486    "metadata": {
    487     "collapsed": false
    488    },
    489    "outputs": [
    490     {
    491      "data": {
    492       "text/plain": [
    493        "<class 'pandas.core.panel.Panel'>\n",
    494        "Dimensions: 4 (items) x 756 (major_axis) x 6 (minor_axis)\n",
    495        "Items axis: CERN to SBUX\n",
    496        "Major_axis axis: 2009-01-02 00:00:00+00:00 to 2011-12-30 00:00:00+00:00\n",
    497        "Minor_axis axis: open to price"
    498       ]
    499      },
    500      "execution_count": 121,
    501      "metadata": {},
    502      "output_type": "execute_result"
    503     }
    504    ],
    505    "source": [
    506     "large_cap"
    507    ]
    508   },
    509   {
    510    "cell_type": "code",
    511    "execution_count": 148,
    512    "metadata": {
    513     "collapsed": false
    514    },
    515    "outputs": [
    516     {
    517      "data": {
    518       "text/plain": [
    519        "open          8.35\n",
    520        "high          8.35\n",
    521        "low           7.70\n",
    522        "close         7.98\n",
    523        "volume    97800.00\n",
    524        "price         7.98\n",
    525        "Name: 2009-02-17 00:00:00+00:00, dtype: float64"
    526       ]
    527      },
    528      "execution_count": 148,
    529      "metadata": {},
    530      "output_type": "execute_result"
    531     }
    532    ],
    533    "source": [
    534     "small_cap.loc['IRBT', perfs_sc[0].transactions.iloc[30][0]['dt']] # + pd.Timedelta('1d')]"
    535    ]
    536   },
    537   {
    538    "cell_type": "code",
    539    "execution_count": 123,
    540    "metadata": {
    541     "collapsed": false
    542    },
    543    "outputs": [
    544     {
    545      "data": {
    546       "text/plain": [
    547        "9.193332196356657"
    548       ]
    549      },
    550      "execution_count": 123,
    551      "metadata": {},
    552      "output_type": "execute_result"
    553     }
    554    ],
    555    "source": [
    556     "pd.Series({p['sid']: p['price'] for p in perfs_sc[3].transactions.iloc[30]})['IRBT']"
    557    ]
    558   },
    559   {
    560    "cell_type": "code",
    561    "execution_count": 162,
    562    "metadata": {
    563     "collapsed": false
    564    },
    565    "outputs": [
    566     {
    567      "data": {
    568       "text/plain": [
    569        "<matplotlib.text.Text at 0x7f6583145a50>"
    570       ]
    571      },
    572      "execution_count": 162,
    573      "metadata": {},
    574      "output_type": "execute_result"
    575     },
    576     {
    577      "data": {
    578       "image/png": 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ItUptRPVvwGnufmXi2M1m9kYsqzFRJTxq9c74OgXMA1Jm1pOwXdfHibJn4uvB\nwD31C11EREREaqPUEtWewCNZjo8GLs6lAXcfDgyvpkqxL9gSERERaRZKLSn7Etg+y/FfxTIRERER\naSJKbUT1FuBGMysHXozHdgJOAi4sWFQiIiIikncltZgKwMyOB4YAP4uHPgcuc/cbCheViIiIiORb\nySWqaWbWEcDdfyh0LCIiIiKSfyWbqIqIiIhI01Zqi6lEREREpJlQoioiIiIiRUmJqoiIiIgUpaJP\nVM1shpmtHl/fmV5EJSIiIiJNW9EnqkA7YOX4enB8LyIiIiJNXNGv+jezV4B5hA3+zwGuAH7MVtfd\nz2/E0ERERESkAZXCk6kOBy4G9ovv9wIWZ9QpA1KAElURERGRJqLoR1STzGwJsLa7f1XoWERERESk\nYZVUoioiIiIizUcp3PpfjpltAgwBNoqH3gMud/f3CxeViIiIiORbKaz6X8rM9gAmAOsDY4FxQC9g\ngpntXsjYRERERCS/Sm1E9ULgKnc/LXnQzIbFsidrasDMKoBjgU2B9u7eOqN8IHAu0BV4FzjG3d/K\nT/giIiIikquSGlEFNgRuz3L8DmDjHNuYAdwAnJhZYGY7ADcCRwOdgIeAJ82sQ52iFREREZE6K7VE\ndQbL5qYmWSyrkbuPcfd/AZ9kKT4SeMjdx7n7Qne/HJgP7F3XgEVERESkbkrt1v/9wK1m1oXwAACA\nnQj7rN6Th/Y3Be7KOPY20DsPbYuIiIhILZRaonoGYRT4RqBNPLaAcCv/jDy03wH4PuPYLKBjjud3\nrUVdERERkaZoUr4aKqlE1d0XACeb2dmElf8Ale4+N09dzAZWzTjWGfgox/OnAG3zFIuIiIhIKSrL\nV0Mllaimufsc4J0GaHoi0Cf9xszKgM2BB3M8vwcaURURERHJi5JMVOvDzFoQpg20ie/bAmXuPh+4\nDXjKzO4GXgZOAFoDD+fY/PT4JSIiIiL1VGqr/vNhIDAXeIpw/fOAOWbW3d1fBo4hJKwzgX2A3d39\nx0IFKyIiItJclaVSqULHICIiIiKyguY4oioiIiIiJaAk56iaWUvC5vz9CMn2C8CNcVcAEREREWkC\nSjJRBa4grM7/F2E7qMOBzYDBBYxJRERyVDm4ooxlW9iUZXxlO1bb4w1Vt7H7K+bY9LPQzyJr3fLh\nI7YiT0oiUTWzbd39tcShPYGN0yOoZvYU8EpBgkuoHFxxZZbDZVmO5UuubeezXlkVr6sra0qviyUO\nXVvtXheCBshzAAAgAElEQVRLHI11bcX+H52ISE5KIlEF7jOzR4Ez4jZSU4HBZnYvYfuoQ4CPCxlg\ndHKhAxAREQFSie+ZX7U5rjZKK75iaiMvSiVR3RS4BHjHzI4EjgbuB26O5e8CgwoUW9KYKo7n9Q8t\nj23X9dxUFa+rK2tKr4slDl1b7V4XSxyNdW3F8B9VMbRR7PHltY3y4SMyPxciJa2ktqcys+0Ie5w+\nDwwhLKRq4e6zChqYiIiIiORdSW1P5e6vAFsQNuN/G9hWSaqIiIhI01QyI6pmtgfwC+Addx9rZpsB\ndwATgZPc/fuCBigiIiIieVUSI6pmdiVwJ7AVcLOZnePubwPbAJOAt8zs94WMUURERETyqyQSVeBQ\nYA93ryAkq4cAuPsid78U+C1wSgHjExEREZE8K5VEdQ7QM77uDsxLFrr7JGDnxg5KRERERBpOScxR\nNbODCav9vwfaA4Pc/ZHCRiUiIiIiDakkElUAM1sdWA/4yN1nFjoeEREREWlYJZOoioiIiEjzUipz\nVEVERESkmSmVR6g2GjPrAlwFDABWAp4AjtWDBUREREQal0ZUV3QPYcFWOWGngS7AvQWNSERERKQZ\n0hzVBDNbGfgB2Mzd343HdgLGA93d/bMChiciIiLSrOjW//LK4ldypLll/L4ZoERVRJq8isqRZXlo\nRm2oDbXRPNtgRPn+eZsuqUQ1wd1/NLPxwFAzGwy0Ac6IxR1rOr+icuRP5OkPWeqkmH/2xRpbscYF\nik1EpFTl7d9IJaor+hNhMdX/CE/AugroC3ybw7ltGjAuERERkWZFiWoGd/8CqEi/N7M9gPnAazWd\n261Nx0EdWrZt34DhraAMCjDJuKxkJzYX5ufVvJWV6OelpD8rZfWLvb5/Znn42dU3/np1Xt/46339\nZQX/+efhZ1DYv/f1/gyX+N+h+n8GiuffbS2mymBmvQijp7OAPsB9wL3ufkFBAxMRERFpZrQ91Yp2\nAt4DZhOS1OuVpIqIiIg0Po2oioiIiEhR0oiqiIiIiBQlJaoiIiIiUpSUqIqIiIhIUVKiKiIiIiJF\nSYmqiIiIiBQlJaoiIiIiUpSUqIqIiIhIUVKiKiIiIiJFSYmqiIiIiBQlJaoiIiIiUpSUqIqIiIhI\nUVKiKiIiIiJFSYmqiIiIiBQlJaoiIiIiUpSUqIqIiIhIUVKiKiIiIiJFqVWhAyg2ZtYFuAboD7QB\nJgAnufs7BQ1MREREpJnRiOqKrgPWBAxYC3gDeLygEYmIiIg0Q0pUV7Qp8KC7f+/uC4E7gZ+b2WoF\njktERESkWdGt/xU9AhxoZg8DPwJHAS+6+4zChiUiIiLSvChRXdGlwGjga2AxMBXYPcdzuwIdGygu\nERERkVIwKV8NKVFd0VjCAqo/APOBQcCLZraJu39dw7nT45eIiIiI1FNZKpUqdAxFw8xWJ4yk/sLd\nJyWOfwsc5u6jCxaciIiISDOjRDWDmX0KPAr8DVgADARuJCSvUwoYmoiIiEizolv/K/o9MIwwN7UV\n8BGwv5JUERERkcalEVURERERKUraR1VEREREipISVREREREpSkpURURERKQoKVEVERERkaKkRFVE\nREREipISVREREREpSkpURURERKQoKVEVERERkaKkRFVEREREipISVREREREpSkpURURERKQoKVEV\nERERkaKkRFVEREREipISVREREREpSkpURURERKQotSp0ACIi+WZmBwInAga0Br4EXgPOd/fKRoxj\nCXC2u18U3w8FznT31o0VQ0OJ1/KMu7/YQO0PB7Z39w0aon0RKQ0aURWRJsXMTgb+CbwBHATsDdwA\n9AQ2LEBIqRrel6pzgB0buI+m8rMSkTrSiKqINDUnAfe7+3GJY+OA68ysrEAxJRVDDPnS0NfSlH5W\nIlIHSlRFpKnpDHydrcDdl47Qmdl4YCHwd+BioAdhFHYwMJMwCrsH8ANwjbtflTh3G+A0YOvY3xTg\nbuBKd19c3wswszbA6cDBQHdgBvACcJS7/2BmvQgjmjsAawKfAQ8DQ919XqKdJcC5wErA4cDKwFPA\nMe6e9WeUOPdU4EigGzAH+BA41d1fje0CXGBmF8TXg939nvjLwKnAUfHc6cA/YmwLE+13BM4D9gHW\nAr4iTCU4rJqYzgHOAA5y91Fmtg5wOfBroBPwDWGKx4HJP2sRKV1KVEWkqfkvcISZfQKMdvdPq6iX\nAjYCzgLOJEyFugZ4AJgFvEJIovYFrjCzCe7+XDy3O/AmcCchkd0CGAp0ISSw9fUgMAC4jJCgdgJ2\nB1aJ/f2MkByPJCSxGxIS1x7AgRltHQV8ABwKdI1tPgxsX1XnZnYIIXk/B3gZ6Aj0iXEA/Ap4FbgZ\nGB6PfRy/XwqcAlwBjAW2ie2sC/wptt8WeAbYALgAeCvGtncV8ZQR/mwOA/Zw92di0T3xZ3Ei8AWw\nTvw5laFpAyJNghJVEWlqjgFGAdcC15rZ58CTwPXu/l6iXhlhNHRLd/8SwMy6AtcD17n7OfHYeEKy\nuj/wHIC7j0w3EpOoV4C2wN+oZ6JqZv2APYEj3P3ORNFD6RfuPh4Yn+j/VeB74H4zW83dZ2Rc557p\n0Uwz+wZ41Mz6u/vYKsLYBnjH3S9JHHs80f/rZgbwmbv/JxF7F0LSeKO7p38O48xsMXCxmV3o7h8C\nhxAS337u/myij39mxJEys5aEZPi3QN9kf4QR7dPd/V+JYyOquCYRKUFaTCUiTYq7/w/4JbArcCXh\ntvjhwBtmtltG9ffTSWr0Ufw+JtHeEmAy8PP0MTPrZGZXxlHbn4AFwCVARzNbs56X0C+2N7yqCmbW\n1szONrNJwNxY/5+EpDRzlfxjyVvuhITzJ0IyWpX/ApuZ2bVm9msza5dj7NsSdlm4P+N4OnncIX7v\nB3ySkaRm0xZ4hHBrf6eMJBXCVI0hZnasmf0ixxhFpIQoURWRJsfdF7n7WHc/1d1/RUjKFgAXZVSd\nmfF+Qfw+K+P4QiCZrN1FuA19LSEh3hI4n5Ao5prUVaUL8E1MkKtyKWHKwr2E0detgP+LZW0z6i43\nFzXO3fwGWLuqxt39buAvhMRyHPCtmd1lZp1riD1dPj3j+PSM8i7A5zW0BbAaIal9zt0/yFJ+IGG0\n/CzgAzP7xMyOzqFdESkRSlRFpMlz9zcJCVe9t6eKo4t7Ape4+zXu/py7vwXUexFV9C2wpplV9+/z\nAcAd7n6Buz8Tr29eFXWXG+GNUwXWIOwtWyV3v8nd+8TzjyPM172mhtjTiX/XjOPp9+kpCd+SGKGu\nxnTCvNX9zOyGLDF+7e7/5+5rA70Jc2JvMrNf59C2iJQAJaoi0qTEeaaZx1oA5dSQnOWoLdCSMMqa\nbr8lYc/WfCzgGUu4fT6omjorJfuPBlZR93dxF4Gl7wnX8Fouwbj7d+5+F2Hx08aJogWsOHr8ajz+\nx4zj6QVe6YcDjAV65JBQptz9KWA/wgK5KhNld3+XsIiLjDhFpIRpMZWINDXvmdm/CbeEPyOMHh4O\nbEIYGUyqzT6dZQDu/r2ZvQ6cambTgdmx3da1bC8rd3/WzB4DbjSzdQmr7lchrGY/192/AJ4GDjOz\n94BphCS1ZxVNLgEeN7NrWbbq/xV3H1dVDGZ2K2H6w2vAd8CmhF0IrktU+x/wBzN7jvAz+NjdZ8Rk\n8lQzm0tIbrcibJH1D3efFM+9F/gzMMrMLgQmAKsD+7p7cteC9M/8CTPbH3jQzBa5+ylmtioh4b0X\n8Fh/ECFRHl/VtYlIaWm0RNXMLiPsSdgN+BF4AjjN3WfG8sGErV7mJE4b7e4HJ9rYEriR8Nvyl4R/\ntO9LlK9J2C6lHzA/tnd6ej+9OOpxKeEfs3aEBRNHu/t3iTYGEv5R7Qq8S9hv8K28/SBEpKGdRbg1\nfxnhtvVPwETC3pvJFeEpso+AVnUsefwgwr81txKStLsJi5nuqCG2qvrMtD/hOg4h7Kf6LfB87AtC\nYtwSGEaYcvAQYU7pE1naupUwAnsnIeH9N2FnhOq8REjuD43nfEr4eSbn+B4DXA2MBtrHuve4+9/M\n7DvgaMLDF74k7HU6NH2iuy80s77AhbHOGoTb/E8n2l/uZ+Xuj5nZAcADZraQ8O/0BELC250wwjyR\nsMNBcncHESlhZalU42w1Z2YXEfYnfI8wof4eYKG7/yGWDwbOcPdeVZy/KlBJ+If5GmBnwl6A/d39\ntVhnLGGLlkMJv50/RZjHNSyWn0kYediVMFfqTqC9u+8ey3eI5+xF+E/hROCvwAbunv4PQkSkJMSN\n+c9y94sLHYuISF002oiqu5+ZePutmV0H/CujWnW3zfYBfnT3y+P7cWb2MGEz69fMrCfQF1g/JpWz\n4yjuWYTkllh3qLtPATCzIUClmXVz92mEp7A8lLgldrmZHUuYzH9P7a9aREREROqqkHNU+wJvJ96n\ngG5m9iXhFs7LhNv2U2J5b8JtnqQJxCedxPLv3f2TjPIeZrYK4Vq7EZ4mA4C7f2xmP8RzpxHmYd2V\n0cfbsVxEREREGlFBVv2b2b6E+UsnJA6/AGwStxnZijDHdKyZrRTL048OTJpFeLQfQAfCbf/McmKd\nDvF1tjo1tdEREZES4+4tdNtfREpZo4+oxpWbNwO/c/elI6rJkVB3/8rMjiQkidsSHls4m/Ac66RO\nLEteZwOrZilPl7WMr7PVqa6Nzix7Wk1N9GxpERERae7qvQNKWqMmqmZ2KHAFYVXmqzmelr7YiYRF\nTklbsGz6wERgVTPrmUh6tyA8pm927H8q4fnS78T36xNGS99JtNEnEW8ZsDnwYI6xQlioNaUW9UXS\nehBWPeszJHXVA32GpH56oM+Q1E+PfDbWmNtTHQ+cAwyIT1HJLN+DkCh+ThjFvJTwmL/0ptQPA8PM\n7BTgemBHQuLaD8KIrJmNi3UOI2x3MgS4JdHNrcBpcd+/mYRFVk+5+9RYfhvwlJndTZgjewJhb8SH\na3GpU4BJNVUSqcYU9BmS+pmCPkNSP1PQZ0iKQGPOUb2GMAd0vJnNjl/JOac7A68Tbr+/R7gl39/d\n50LYZJuw4fX+hCTzZsIeqK8n2jiYcE2fx7YeTm9NFV0KPAb8l7B4KsWyxVi4+8uEvQFvi33sA+zu\n7j/m5ScgIiIiIjlrtH1Um4kUYOi30JzEPR6vcvdT4vtTgJXd/bwG7HMK8Ia77xff7wfs4e6HNlSf\ntdCL8IQdfYakrvQZkvrSZ0jqqxd5/OwUZNW/SLQA2NvMusT3jfVb0xZmtmEj9ykiIiK1VMh9VEUW\nEuYNn0R4MMNSZtaD8OSwLoS5yoe6+zQzG07YQmxLwmNuh7j7Q/GcUwlTQ9oSpn0MzdJnCrgSOJMw\n7WPpykQzWy322ROYCxzl7u+a2VDCIxp7xu/XuPv18Zw/ER5n2YYw3eQYd19Sj5+JiIiIRBpRlUK7\nETjYzDL3qr0euMvdewP3Adclyrq6+/aE57lfCmBmA4Byd9+asFNDHzPbsYo+RxJGVdfPOH4e8Gbs\n8wyWfxpZL2AAsDVwrpm1jKOyBwDbufvmwBLCPGkRERHJAyWqUlBx67B7gOMzirYF7o+v/wHsEF+n\ngEfiuf8D1orHBwADzGwC4eljBpRX0e1i4HLgdJa/9b89cG9s+zmgi5l1iHWecPeF7v4d8DVhNLcv\nYTuzN2K/vyGMuoqIiEge6Na/FINrgLdY8fG1VW0YvKCKOpe4+6059JciJKSnE3aYqG2fi1n2d+du\ndz8jhz5FRESkljSiKgXn7jOBB4DDWTbC+QpQEV8fTHjEbnWeBg4zs5UBzGwdM1sjvn7GzNbO6HMR\ncDVwcqLPF2NfmNkuwDdxxDdb8poCngH2S/Szmpl1z+WaRUREpGZKVKWQkrfdrwRWT7w/DjjUzCYS\nkscTqjgvBeDuYwlTBV41s3cI81BXMbMWwPrAjCzn3sGyR+sCDCXMbZ0IXAwMSpyzwu4AcerBWcCY\neM4YwpQAERERyQPto5pf2ke1yJjZxoQdA04pdCw50P6FUl/6DEl96TMk9TJ+5uiddun8+5ruguZM\nc1SlSXP394FSSFJFRERK2pDKinYtaPnPXTr/fp18talb/yIiIiKSD39ewuKf5bNBJaoiIiIiUi9D\nKis6EPYgzyslqiIiIiJSXycSFkUvqKlibShRFREREZE6G1JZsRpxPUjHlp3vr6F6rShRFREREZH6\nGAJ0BOYM6LL/LflsWImqiIiIiNTJkMqKrix7DPrVW3f8zYzq6teWElURERERqaszgZWAWYSH9+SV\nElVZgZntamZ526y31JnZDma2pNBxFCszu8TMzi90HCIi0riGVFasCxwd3142rHzErHz3oQ3/ZTlm\nVgZcDRyTODYcOAj4KR6aAfyD8PhQgG+AE939H4k2vgYmu/u2iXbOA/Z09z5mNhg40903yBLDLsCz\nwBxgCbCQ8KSUh4Ab3D2vKwold2Y2BTjD3ZOT5S8DJpvZze7+RUECExGRQjgXaA18BVzfEB0oUS2Q\nysEVbYBujdTdtPLhI3JN7gYArd19fOJYChju7kcBmFkvYDwwxd1vM7Nngd8QkleA3sDsUNU6uvsP\n8XhfYGyOcSx29w6xvzbAToQEej8z29ndF+bYTs7MrFXsN6/PFTaz1g0Rb4GkgLLkAXefZWb/JvxW\nfW5BohIRkUY1pLLCgEHx7UXDykfMaYh+lKgWQExSHejRSF1OqRxcYTkmq3tRQzLp7pPM7CVg43jo\nGZbf5LcvMAboCewMPGZmqwBbAUNrGTtxBHWcme0NvEv4i3F7Luea2abANcBmwEzgTuASd19iZj2A\nj4EjCNtq9ATWNbNVgduALWL58Iw2WxFWOA4C1gTeB05w9zdj+XDCb5gLgN8DI4Bjs8R2F+Fn1QmY\n1rt379sfeOCBdNkuwDhgIHABsBYwEjgJuIrw5/QDcJK7P5xo88/ACUBX4H/Aqe7+UiwbCmzv7v0T\n9ccDY939okSfBwEXE/bDexo43N1/NLPHgO7A7WZ2M/Cyu+8WmxoLnIwSVRGR5uJ8whTSqcCtDdWJ\n5qhKps2BD7IcXzqKZmYbAzsAL8VDzwDdzGz9+P438dhzhEQMwojoEuDFugbm7pXAm4k2qxUTzrEx\nlrWAPYDDCAlV0h+BXYAOwPfA44SEeA1gP+D/CCOJaecBvwN2BVYjJL9Pxf7S9gOeJCR7p1QR4ouE\n0edVgfMnTpx42eTJk5PlLQg/t42BDYHdgdeBke6+GnAJcKeZtYvX+0fCPxyHxLhui3F1r/qnRCrj\n2loA/YFNgV6Ez8PxAO7+O8I/SIe7e4dEkgrwHrBJTOJFRKQJG1JZsRlwQHx73rDyET9VV78+9J9K\nAZQPH7GgcnCFUZy3/jsTRuqSyoBDzGw/wmdmZWA0IaHD3SvN7FOgr5lNJSSxg4BPgTtiG30JI3D1\n/TB/TkjCcrEH8JO7XxTff2hmlxES1SsS9c5z968BzGwbYF3CSORPQKWZXUH8bTHOvz0O2MPdp8Tz\n7zSzE4E9gfvisRfdfWR8PS9bcO5+Z+Ltv3r37n3m66+//sv1118/We1Md58PTIujn+3d/d+x7F7g\nJmADQmJ9KHCzu/83EdcRhBHSS6v7QWX4m7vPBeaa2SPAljmc8wPhc9IJ+LYWfYmISOm5MH6fBNzT\nkB0pUS2QmDhOrrFi45tJGOFLSgH3JOaodgFuBJ4ijERCGLXsSxhZ+9TdvzWzWYSR1jUJo6z/ykN8\nPyckwLnolqXux6z4C8KUjPa/jslhtvLVgVUI0xmSI5GtgHWqOGcFMeE9j/AbaVfCz3jlmTNnJqst\ndvfvEu/nEkZ8AXD3uWYGYSQ4HfuIjK4mx+O5ytZnh6oqJ3QkXEPeV3yKiEjxGFJZsR1hIAjgnGHl\nIxY1ZH+69S+ZJgAbVVchJjL3AjuZWed4eBzwa8Jt42divUWE29sHEm4lj6tPYGZWTpg3+myOp0wl\njI4mrRePJyW3nvocWNPMVkoc65F4/S1hN4K+7t458dXB3YfFOpm307M5CDgc2MfdO7l753bt2n2Y\nStW4jqusmrJphHm2SevH4xAWuK2cUb4OtVPVNl2bAO/FP3MREWmChlRWlBHWMABMJKydaFAaUZVM\nj7DiFhNlLD9HtRNhHuQ0d08PAT5LGG08mmV7qkGYp3oGMMvd38hs18zasnzytcIUhVhnB8Kq/7eB\nuxNlS4DB7p7t1sMTwDVmdgZwOSFJHQLcnKVu2quEUdjLzGwIIZFbOqfV3VNmdi1wpZkdEac9rAJs\nD7zj7l9SfTKZ1gFYBHwb53UOBH5Rwzk1tTscuNbMRhN+4TiE8AvCgbH8DeAiM9sCeIcw97ZHDrEm\nTSfMXc3Un/DZERGRpqsfYZE0wFnDykc0+B7jGlGV5bj708AiM9s5cTgFDDKz2WY2G/iIMDK3e+K8\nrwnzJFcHnk+c+yxhIdNzGV2lCInjPMLt5fTXKbGsZezve+ALwsr3e4ClW1PFRUKLgJeruJYfCNtt\n9SPs8fYUIcm9OiOO5DmLCSv1NyXsBfsgcEtGvXOBR4FHY3yTgKNYlkjmMqJ6N2FhVCXwGbDhyiuv\nnJnIZ7ZRbbvu/k/CdIJ/EEZ+jwZ2d/dpsfx5wo4BTxF+pmuybEFcrn1eCPzJzGaY2ROw9BeX31L9\nLwAiIlLC4mhqes3Ha4TBoAZXlsOtRsldCjBC4lKyzGxXwqbuO9dYuYDM7FBgC3c/rtCx5EkvwrZl\nJfUZMrOLgUXufk6hY5HS/AxJUdFnSLIaUlmxF5DeDvE3w8pHZA5ApfUij5+dRktU42rrPQgLWX4k\nZOKnJW4dY2YDCaNVXQmjc8e4+1uJ8i0Ji3g2Br4EznX3+xLlaxJGdfoB8wnbBp2e3sDdzFoSVj8P\nAtoR9vo8Orl4pKYYatAkElUpGP0HIfWlz5DUlz5DsoIhlRUtCVPvNgGeGVY+ol811fOaqDbmrf9F\nwMGErYV6E1YiD08XmtkOhCT0aMIWNw8BT5pZ+ulEqwL/Jkzc7USYX3ezmW27rAvuIyz2WAfYBtgb\nODVR/jfCbd2tWbYS+t5cYxARERFphioISSrAmY3ZcaMtpnL35IV9a2bXsfx2RUcCD7l7emX45WZ2\nLCHZvAfYB/jR3S+P5ePM7GHC3MDXzKwnYXuk9d19NjA7juKeBaRXYx8FDE3vfxkXy1SaWbc4j6+m\nGERERESajSGVFa0J6x8ARg8rH/F6Y/ZfyFX/fQnDyGmbAndl1Hk7HocwCjsho3wC8KdE+ffu/klG\neY+4KrsVYdrBm+lCd//YzH6I506rJobeuV9Woz0WVZqeHhnfRWqrR8Z3kdrqkfFdmrm123Q/4MsF\nU9cHUtt07Hs72Xd+SepBHm/9V5moxm1/klIsvz1O+n3K3VvWplMz25dwe32nxOH04yuTZhE2Ek+X\nZz4xKbM82/nEOukYa+qjuvJcPF2LuiLZ6DMk9aXPkNSXPkPCwiULmLv4RwA2W2W7sn3XPHJ0jqfm\nsk1jTqobUT0o8XoNwrDvY8Ar8Vj6yQRDa9Ohme1PWPD0O3dPjqjOZsUnInUmbIWULs/cvL0Ty5LX\nbOd3SpSlE9VsdaprIxlDLnalhqcSifw/e2ceJueUNfBfJenIvpBIEHQoOWLfZhhiYohlDCMMoxik\nkVhi91ETQixjkMZYhyCSIKgZYxmMZWyJ3VgixHIo0WRBguxE0kl9f5xb6TeVXqrTS3Un5/c8/XS/\n99733lPVt7vOe+5ZqqAY+3DwPeSsLsX4HnLqRjG+h5zADdOGlcxb9sMFwLIurbr9lvwqQxbXpwxV\nKqqquqIUo4g8DIxQ1VsiQ24XkdOxCPtbcu+vjJBO6FrgIFV9Pad7MrBzZGwM2BHLYwl2BH9Izj07\nUeE+MBnoLCK9I8f/OwFfBJ9VQh36nbFk54jI5pi19P08ZciHMjxS0qkbZfgecupGGb6HnLpRhu+h\ntZpkOtERGBwuxxzY7ehnCyFHvj6q+2MVfXJ5BhiZzwQiciYwAthPVd+pZMidwNMicjeWwP0soIiK\nnF2PAKUich5WOWlPYCCmKKOqX4jIc2HMCZgVOIkla89yB/BnEXkRq2lfCjytqtmSmjXJ4DiO4ziO\nszZwFqZLLcGK7hSEfNNTzcOU1Vz2Y1Wfzqq4AfMBnZCtcBQCmQBQ1VeBoZiyOAeL8j9QVReG/nlY\nJaQjQv8oLAdqNPrsT+E1zcCq/jwSqb8OlkP1ceAtLHgqQ0UwVo0yrC2IyP4i8lKh5SgUIvInEXmv\n5pF5zXWAiEyseaTjOI7jNA2S6cS6VKT3vLU0nppWKFnySvgvIudiSt59VPio7oH5sV6gqtc1mITN\ni2af8D+4O3yIFTqYENrGYb/rn8OwH7AynReF69nA2ao6PjLHLOBzVd0tMvdlmNvHziJSAgxX1S0q\nkWEvrPTqIiwv7lIsAfVDwC2quqT+XnHDIyKvAdeq6sM1DPVE205d8T3k1BXfQw7JdOIqLPf8ImCz\n0nhqVi1ub/yE/6r6N+CosPjI8BUHjnIldY1jP6Aoq6QGMsA4Ve2oqh2BfYHjgcGh6tcLwN6R8dtj\ngWkiItGMCfsA+fq4LAvrdQY2xKqFHY9Z5ItW43XlRQPNPQY7QnEcx3GcJk0ynehJxWfWDbVUUuud\nvPOoqupDmEXLqQfSkxOtsbyujcG0+PapfK2QA6lBmVTVT0XkFayULcDzwIWRIftg5Wl7A/2Bx0Mu\n219QyywRYb0lWIGHQ7GytoOA0TXdJyLFwFSskEMS6AFMAIao6uwwpgy4C1O0dwEGi0hbItbeoLye\nDxyHKc2zsPK/D4X+IcCZ2O9zauiLvofPYcGHXaMlgx3HcRynCXIh0BZLz3ltgWXJv4SqiLQRkcNF\n5M8i0iW0xUVkvYYTb80kKKkKpBvpS8Oa+bAj8FEl7StyoonI1kA/4JXQ9DywcciiAKb0PQ+8iCmt\nYDlzlwMv5ynHKqhqGivYsE9NY3M4Fgu+2zjIMD6nfzDmutAR+Hcl91+B+T8frqqdMOX7U1ihpCaB\no4wpjDcAACAASURBVFW1C1Za7uHIe0GohLYIe28dx3Ecp0mSTCc2xUrUA5SWxlNzqxvfGOSlqIrI\nZpjycifwV2Dd0HUqcFXDiOYUiK6sWlghBhwrInNEZAFm1fwf8ASsUCC/BPYJ1sd+mJL6AhVK5T7A\nq6r6M3VjBhX7L18uU9VZIU3Z+cC+ItIz9GWAO1V1MoCqLo7eGPxthwLnqeqUMGaGqn4QhpwFXJ69\nVtWnsNeeyJFh/mrI7TiO4ziNyQgs29Es4KYCywLkf/R/A2YJOxGLhs/yGHZs6tSC+PapJenJCaFp\nHv3PYdWiBxngHlU9CSBY0W8Fngb2CmOex5TRKcCXqvqdiMzFLK3rY1bWf9TpVRi9yC/hcJSyyM/Z\ne3sB31TSn0t3oD1VO4b3Bv4uItE/6JZYVokonbAgNMdxHMdpciTTCQFKwuVfS+OpRQUUZwX5Kqq7\nA/1UtVxEou1fARvVu1RrAUFx/LzQclTCJGCr6gao6vcici/wWMTv8jns6esjTGkl7JeXgSOB7TBf\n0dVGROJYEYextby1N5AtAlEcvk+P9OeWC44yG/gRCySs7PdVhhXDqNJ/W0Q2xZTdekl55TiO4zgN\nwGXYSfs0Vs5BX1DyVVRbUbmbQE/M985Zc3gUK6gQJcbKPqpdML/PaZHgoBeAbsDJ4SvLi5hj9lxV\nfTt3XhFZh5VrAq9i+Q1j+gHXY8re3ZG+5UCJqt5TzWu6SESmAIuxjBXPquo31YxfgapmRORWrJDE\nV5givhHQNRz3Xw9cJiJprMJZG6y62WxV1TDNvsArquoWVcdxHKfJkUwndsCMSgCXlcZTdXXTqzfy\nDaaaSI41LPgiXkj+6YacZoCqPgOUi0j/SHMGGJQt1AB8hlkID4zcNwvzXe2G7ZcsL2DR9i/mLJUB\nNgN+wiyW2a/zQl/LsN48YCZWFeMeoL+qLgUQkU2AcqyKWHWMx1xXvsIeuo6tYXwmfGUZDvwTU+Ln\nh9eyeXjdo7EKZ2Oxo/0vw/joQ+AJwI01rOk4juM4hSJbeeozIsagpkC+Cf/7YBHenwC7Yb6J22DW\no91DVLOzBiT8B6tMBVyoqv1rHFxAROR4YCdVPaOK/mIsXVQvVZ3ZmLJFZKjNe+mJtp264nvIqSu+\nh9YykunEr6go5nRUaTyVquOU9ZrwP6+j/5A3czssyn9BuO8+4OZgSXPWIIJV9ZlCy1ETqjqW2vur\nNirN5b10HMdx1j6S6UQMuDJcvo+dHjYpapPw/xusOpDjNCdqPjJwHMdxnLWTfajI3nNRaTxVXXBx\nQahSURWRX+Y7iar+r37EcZz6I7iktCy0HI7jOI7T1Mixpr5JyI3e1KjOovpGnnNkcGXAcRzHcRyn\nOfF7rLQ5wIWl8VSTPIGsTlHdrNGkcBzHcRzHcRqFZDrREisPDvBCaTz1QiHlqY4qFVWP5Hccx3Ec\nx1kjORLL3gSWUrHJ4j6qjuM4juM4awnJdKIIuDxcPlYaT+Xr6lkQ3EfVcRzHcRxn7aEEK1qTAS4u\nrCg14z6qjuM4juM4awHJdKINMCJcpkrjqfcLKU8+uI+qswqhmtJwVf11oWUpNCJyEbCPqv6m0LI0\nRUTkNeAiVW2yjviO4zjOCk4BegHLaCa58WvyUX1XVctr8ld1H9U1BxGJAdcDQyNt44ClqjokZ+xK\n7SJSBmwC7Kqqb0XGHQk8AEzMKnwishkwEugHdADmAG9jDt67Y/ncfqmqH0fmGYL9YW2rqnPq8WU7\nNVBNOdpLsf2yfQHEchzHcfIkmU50AC4Ml2NL46nPCilPvtTko9oTmEX1/qruo7oaJNOJ1sDGjbTc\ntNJ4akmeY/cDilR1QqQtQ+UVnnLbM8BHwBDgrUj7EODjnLFPAk8DfVR1gYhsBPwOiKnqRBG5BRgv\nIruGh6XNgWuBwxpCSRWR1qqa73tUm3mLVHVpfc9bQGI5188BXUXkN6r6YiEEchzHcfLiLKA7sAT4\nS4FlyZvqFNXewHfhZ/dXrUeCkqpAcSMtWZZMJyRPZXUg8Gwt5s5VXO4GLhCRc1R1UbCcbg/cBuwJ\nICLrAX2Agaq6AEBVZwB3ROa5GNgXuFxELgbuBe5U1efzFUxE/oD54mwKlAGXquqjoa8EuAgYhf3x\nzgW2FZHfAddgDxETgM9z5lwPKA2ytQFeBM5Q1Vmhvwy4C9gb2AU4kZzaySLSCxgN7AS0xuorn62q\nCwH22WefM6ZPn74VZmE+HmiB5bt7PNy3M/ApcIyqfhLmbAdcBRwKtAVeAc5U1WmhfwLwrKr+NSLH\ncqCfqr4mIpdiv583gMFhyG2qemn4eXL4riKSAa5W1b+q6nIReR7bN66oOo7jNEGS6cS6wPnh8rbS\neOqrQspTG1pU0/cI0Dn8fBwwW1XLKvtqcCmdxmRHzCqaS65CWlXbTOAl4KhwPRhTMn/ODlDV74EP\ngbtE5FgR2Sq4HBAZUw4cDZyOuQ20BS7I90WIyO7AeCAJrIsddzyQ48ayKbABEAd+Eay2D2FKYWfg\npiB/JswZAx7FfHu2DvcvAO7PWX4wpnh2BB6rRLwYcAvmJtEDeBd4eM6cOdG/xz2xh5kewDHA3zAl\n9ZTwej4O8mW5HvglsGuQ6zvg8cj7WpVVPMqewJfhPfk9cGF4HwG2C9/7qGrHqMILfIAp3Y7jOE7T\n5Hzsc+1HzKjRbKjOoro10A7zHbwUszwtagSZ1nhK46klyXRCaJpH/12B+TltMeBYETk8p70dZkGN\nkgHuBC4RkbHAIGAA8IeccXsB5wJnY0mH54jIzVEFSFU/DcFM12N+qbU5Qi8B/qWqz4TrJ0XkEeAE\nIOtTvRQYlp1XRBLAm6qaVTyfFZFHgQ3D9c6YQrZP1k1ARP4MzBaRDYPvZgYYraqTw2tYnCtYsHJO\ny14Hi/GZo0aNKr7gggsiw3RM+PlpEZkNPKGqGu55AFPEEZEW2MPkQar6dWg7G/gBU17fzPM9U1XN\nWrXfFJH3MKvwa1T+UJJlAaY8O47jOE2MZDrREzgzXN5QGk99W0h5akt1iuonwNXhWA/gSBGZV9lA\nVb2n3iVbwwmK4+c1Dmx85lBhSc+SAe5R1ZOijUERrUyBeQo76h8BfKGqH4vISgOCVXU4MFxE2mBB\nVHeKyExVHRsZ+j6wXFUrs/JWRy/s6DzKVMxinOXrHOW3F2ZRjFIGbBR+7g2sA3yb83p+wqyjMyP3\nVImIdMMspP2BLsBygBkzZnSNDPsm57Yfga9zrjuGn7sHub7Idga3i1nYw1C+imrumouwQLea6IQp\nxY7jOE7T40LMsDQPi/VoVlSnqA7FjicHhuvSasa6orrmMAnYqpL2fI/+CX6LYzA/0+NrWjBYHe8W\nkTOov+jxaZhiGWUzIOqXszynfzqwf05bMRVH5l8Ci1S1K9WTO28uV2GBir9U1W9FpAMwP5PJVGe1\nrI7ZmGtFb0wZJ8y5PhWW2wVElE4R2ZDaUd1r2gZzX3Acx3GaEMl0YlPg5HBZWhpPNbuMOdXlUX2V\nYH0KQRfFqlonc3E4Wj0N83drp6pFkb4SYAwruxc8pqp/iozZBbgVc0v4GrhEVe+L9K+PuSgMABaH\n+S5Q1ayPYUvgauw4ug3wX+DkYN3LznEclgKpJ+Z7N1RV16YP4UeBm3PaVkeBugHzVX01t0NEumK+\no+OxoKAMcAim8OTlOyMiewEvYPuyMqfwu4HnRORe4Hksm8GhmBWzKlLAiLBP/4W5JxxCRQaDt4DJ\nInIztvd+EJHumCtAKh+5Ax0xi+jcoFBW9xBYI+HB4B7gLyLyEfbUfB3mx5p1c3gHOxX5G6bU/rXS\nyVYmRsXvfjamrPahwnKcdTvYG3O1cBzHcZoWI7Cg3VmsHNfQbKgumCrKZtgHVV35AbPSnl1FfzoE\namS/okpqZ+xI+UHsuPQUYJSI7Ba5/z7sw3QjLKjkUCqi3ACGYUEiv8SOecECfbJr9MMU4ZPDGg9h\nvo0dWUsIPp3lIhJV6PJNTxWdZ66qvqCqP1cy9mfsuPph4HvsD+hCLHr+oSrWyWUT4DNgRhXrv4Y9\nkFyL7burgT9Fcv6uIruqfg4cjv1hz8GyAYyO9GcV6hjwjojMB14HalsYYQRm7fweeA9T5ssj/fkE\nPmXHZTkHc3V4C7P89gB+n31Iw/x8P8bcTd7F8tTmphbLXXNFm6r+hFnIHxCROSKSdaYdAMz11FSO\n4zhNixALMyhcXlkaTy0spDyrSyyTyefzsH4J1rBnK7GoDlfVLaq453hghKr2jrTdA5Sr6gki0hv7\nEN5cVb8I/SdgVXM2C9dfYimKxobrzYA0sKmqThORuwFUdVBkjbKwbj7uDRlAMCthsyVUprpQVauz\nPhaU8Lt6rArFtrnSB4v0bzZ7SEReBS72ylRNhma3h5wmh++hNYRkOpHC4j+mA1uUxlOrBPc2EH2o\nx71TnY9qY5MBNhaRr7Fo7FexY/uy0L895j8ZZRKWuifbPy+rpEb6i8PxaisssOSdbKeqTg1Wse0x\nX77tgGggD5jFqzZ+k8W1GNskCe/hEGyzNUki2QGarIyrQXHO9yaPqmZ9kNek30Nzpjjnu+PUluKc\n704z5F+z7tgSU1LZoPWmo87ZZOQmjbh8MWuoovoSsI2qpkWkB3ZU+6yIbBeOHTuwatqkuVjEMZjf\nX25WgrnheycqqmdVNqamOTqRP8/UPMRxqsX3kFNXfA85dcX3UDNmQbmpP+sV9eTMjf96BZYfvDFZ\n3eDgVWgyimrUEhoioYdgSuJuWMWbBaz6hNeFCuV1AaumVeoS6csqqpWNqW6OrpgvZL7sTw3piRyn\nCoqxDwffQ87qUozvIaduFON7qFlz3zc37vDxj+/+A6B9iw7ntoy1+k8ji1Bcn5PVqKiKSGssQnlH\nVf2gPhfPk6xWPpmKVFlZdsKO5rP9nUWkd0Tp3QnL47kAQES+wpK2vx+uN8espe9H5tg5O3mo6rMj\nFgGeL2W4X49TN8rwPeTUjTJ8Dzl1owzfQ82SyQtfHxV+/OCrn9M3UnPKxCZNjYqqqi4RkWzFnToR\nUtm0Dl+IyDpATFUXhxrrk7Eo7q7Y0f9srPY4WEnXUhE5D0uftCemuA4Icn4hIs+FMSdgUeVJ4PaI\nCHcAfxaRF7Go7lLg6Uh6ozuxKkB3Yz6yZwFFYW3HcRzHcZwmSzKd2Af4Tbi8qDSeatZKKuSfnuoG\nLL9kmzqudxxmnX06rP0TsEhENsXyW76JHb9PwY7k91XVHwFUdR5wIHAEpmSOwnKgRqvu/CnMOyPM\n9YiqRnNUXg08jqXwmYYp39lgrGzu2KGYwjoHOAw4UFWbZUoHx3Ecx3HWDpLpRAy4Mly+iek7zZ68\n0lOJyFPAHsAS4ENM2cySUdUDG0a8ZscakZ7KKRieFsapK76HnLrie6iZkkwnDsGK9gAMKI2nni+Q\nKAVJT/Utlpy9Mho/EavjOI7jOI4DQDKdaEFFZP8LBVRS6528FFVVLWlgOZwmREj4P1xVa1txqdkj\nIrdhRSTOqIe5rgKWquqIukvmOI7jOFWSwMqQAwwvpCD1Ta3SU4nIzkAc+I+qLgyJ9H9W1aUNIp3T\n6IRMB9djvrrZtnGYwjUkZ+xK7aGK1ybArqr6VmTckcADwERV/U1o2wwYCfTDcuTOwUqAHgnsjpX4\n/KWqfhyZZwhwCbCtqs6px5e9AlU9tR6nGwl8LiKjVHVmPc7rOI7jOAAk04ki4LJw+XhpPPVGdeOb\nG3kFU4lIdxF5DQtCuh+rUw7wN+CaBpLNKQz7AUWqOiHSVlXt+dz2DPARVtUqyhCsznx07JNY0Fsf\nVe0I/AoLsoup6kTgFmC8iLSCFanErgUGNYSSKiKtgpJeb6jqXOAp4OT6nNdxHMdxIpRgRkSAiwso\nR4OQr0X1b1jFph7A1Ej7g8BN9S3U2kAi/WBrrKRrYzAtFT9iSZ5jBwLP1mLuXOXubuACETlHVRcF\ny+n2wG1YSjFEZD3M2XpgNsetqs7A0odluRjYF7hcRC4G7gXuVNW8/G5EpAS4KMx5Nlbw4V5gmKqW\ni0gxtpcHA+cBvbFyuyNZ2UrcHcsWMQDLRJEGjlLVT0WkHXA5lh2iM/A/4HRV/TwiyrPAuZgl2HEc\nx3HqjWQ60QbIupelSuOpyYWUpyHINz3VAOACVZ2d0/45dtTr1IKgpCqm9DTGl4Y182FHzCqaS2XW\nxsraZmLlcI8K14MxBfHn7ABV/R7LHnGXiBwrIlvlWjNVtRw4GjgdcxtoC1yQ52vIsgn2MNAbs9ge\nDJyfM+YoYC+sfO5sIlbikPf3MawoxC6q2hl7cl0Q7r0TU7h3xR7i3gSeyFqBA1OAbXLaHMdxHKc+\nOAXoBSxjDTWI5KuodgQWVdLeFXD/1DWLrlSUlM0SA44VkTnRL0zJy3UJyGAK3Eki0hIYFK5zldq9\ngAmYtXMS8LWIrOQArqqfYlbRPwB/Wg1f6OXA+ar6s6pOxQo8lOSMuUxVZ6lquapmEyNnZd0Fq1R2\nQvYhTVU/UNWvRaRbeP2nqersoFhfDmyAKa5Z5of5uuA4juM49UQynegAXBgux5XGU2tkOrF8rTxv\nAocDV+W0nwa8XK8SrQWk4kcsSaQfFJrm0f8c7Bg7Sga4R1VPijaKyFgqt6o+hR31j8BK2H4sIisN\nCFbV4cDwUEjiSOBOEZmpqmMjQ98HlqtqZVbempilqosj119iT55Ryiq5L6t8F4c5FlQypndWvpzX\n1ipnjU5hvrn5iew4juM4eXEWVoVzCWYoWSPJV1G9AHheRPpiJUXPF5FtMd/Dfg0l3JpMUBw/r3Fg\n4zMJ2KqS9nyP/lHV5SIyBvMzPb6mBYMyebeInIHtqfpifRFpq6o/hetirCJZlOrKy5WFOTpWoqx+\nGb7Hg9JdFdsAU4LF1XEcx3HqTDKd6EqFK9uo0njqq+rGN2fyzaP6PxH5FfamfI6VO30HOGk1LV1O\n0+VR4OacttWJhr8B81V9NbdDRLoCSWA8Vr0iAxyCKXW5VvtKEZG9gBeAYlWt6g+0BTBSRJLAhsD/\nYcFe1RGj4vW+BbwLjBaR04Hvg4yzw/H//cBtInK2qs4UkS5YjeX/qmrWVWZfKiqFOI7jOE59cD52\n+vkjFWVT10jyDvBQ1SmYv6GzBqOqz4hIuYj0D2miIP/0VNF55mKKZGVjf8aOKx7GfDrLgS+AM1T1\noSrWyWUT4DMsxVVVfAlMD3O3xBTj0hrmXSGnqmZE5GAsBdt7WL5XxYK8wNJuXQhMEJGe2PH+S8Az\nAEFx/S0VSZgdx3Ecp04k04ke2LE/wI2l8dS3hZSnoYllMpVXQBWRvKP5q7ForW1kWAPqI4fKVBeq\nav9Cy1IVInI38FgVim02PdVwVd2iUQVbWYYrsSpX+Vam8hrbTl3xPeTUFd9DTZxkOnEjcCaWNrR3\naTzVIAVw6kAf6nHvVGdRLcu5zlD5EXAGs1Y5awiq+gzBKthUUdUmb91X1QtrHuU4juM4+ZFMJzbB\nUlIBXNMEldR6pzpFdffIz5thVYHuBF6L9J+I+Ro6TlOjSrcEx3Ecx2mmjABaY3m/byywLI1ClYqq\nqq6oFRuOMM9T1fsjQ54REcX89O7Pvd9xComq3k3NgVOO4ziO0yxIphN9qMgFfmVpPLWwgOI0Gvkm\n/N8NKw+Zy9uhz3Ecx3Ecx2k4LsNcLacDowosS6ORr6L6DXBMJe1HAV/XnziO4ziO4zhOlGQ6sT2Q\nCJeXl8ZTi6sbvyaRb3qqi4B7RaQ/5qMaw3xU9wSOayDZHMdxHMdxHPhL+J4GxhVQjkYnL4tq8E3d\nFZiJ5YU8ADM976qq9zWceI7jOI7jOGsvyXRif+DgcHlJaTy1tJDyNDY1WlRFpAi4HfiLqv6p4UVy\nHMdxHMdZu0mmE20xS+q5oWkKkCqcRIWhRouqqi4FDm8EWRzHcRzHcdZ6kulEP2AyVvo7BnwEHFka\nTy0vqGAFIN9gqqeB/RtSEKfpICL7i8hLhZajsQglY39daDmaIiJygIhMrHmk4ziOU1eS6UT7UHnq\nJWALYBlwJbBTaTz1UUGFKxD5BlNNBP4iIttjaaoWRTtV9Z/1LZhTGEQkBlwPDI20jQOWquqQcF0G\n9ADKgaXYk95wVZ0YuecI4HRgB2A58C3wPHCDqn6W7zyNhBcGYNXfM4CqPi0iI0TkMFV9uHDSOY7j\nrNkk04m9gLuwIksAHwDHl8ZT7xRMqCZAvorqzeH7yeErF1dUa0lidLo1sHEjLTctNTi+JM+x+wFF\nqjoh0pZb5SkDnKiq94tIG2Ak8LiIbKSqC0TkEuAs7MjiMVX9XkR6Yi4k+wOf1TBPL1Wdv5qvtUpE\npCi4stTnnK1VNd/3trkyBvt9uqLqOI5TzyTTiY7Y59+poakc+CuW1H9N/3ypkbwUVVXN10XAyYOg\npCpQ3EhLliVGpyVPZXUg8Gwl7bHKBqvqYhG5EzgDiIvIHCyd2aBoJTNV/Qa4papFc+bZHJhUk6Ai\nsh5m/d03ND0DnKOqc0J/GfZ0ujewC3CiiDwV5DgImA9cWsm8A4GLsafar4Ersq9FRErC6xuFKW9z\ngW0rmeMsrB7zRsAc4D7gIlVdHvqXA2diVUa2BN4bNmzYsGXLlnH99ddPLC8vLwJGqepFkTn7A6WA\nBLmuV9U7Qt9ewLOqWhQZfymwh6ruG1nzNOD4sOaHQImqqogkgaPDuAT2ENFZVTPAc8DtItI1+946\njuM4dSeZTgwARgObhqZJwAml8dR7hZOqaeEKqJPLjtgRfE3EAESkPWZlnwt8illkIX8re1Xz5MN9\nQGdM6eoLdAPuzRkzGDhbVTsCjwE3YIpwX2B74BCs0gdBjn2xfxpnqmpXYBBwi4jsGZlzU2ADIA78\nogrZpgEHqGqnsMYJQZYoRwO/B7oDP1977bX3//TTT0yYMGFvTLk+T0R2D3L1Bp4C/g6siym4V4lI\nbQMdBwGHYe/VNMJpiaqWYu/nOFXtqKqdgpKKqpZh7j471nItx3EcpxKS6UTnZDpxJ2YY2hRzf7sI\n2NWV1JXJ9+gfEfktcAGwVWiaAlytqk/XYo4EZtHZDmgXtf6E/uOAS4CemG/GUFV9N9K/C3ArsDVm\nUbokmsdVRNbHLF0DgMXYkeUF2Q9cEWkJXI19WLcB/gucrKrf5ytDfZAaHF+SGJ0WmubRf1fM0lgd\nMczCdgvwM/Y+/U5VF4lId+A7VS3PDhaRUmAIphC+rqr71zRPTUKKyIaYUryFqs4LbecCn4hID1X9\nFrMKjlbVyeG2JZhyeKCqzgr3JDErcpazgBtV9VUAVX1LRO7DClu8HMYsBYZV50YQ9edU1fdEZDyw\nD3BHZNh1qjozyPHQsmXLRp5xxhkAy1T1YxGZDOyMFdk4CnhHVe8J974pIrdjyu+/anq/IlyjqtPD\nmnezsmIfowrLObYn1q3FOo7jOE4lJNOJ32KfBb1C09uYL+qUwknVdMlLUQ3HnaMxK1n2OLc/8ISI\nnKiqd+e53g/YsWs7Vv7ARkT6YUroQCx462zgSRHZIvg9dsYsSqXAHmH9R0Tkc1V9I0xzHzAPO27t\nhmUr+CHcAzAMs2D9MrSPwT6oD8xHhjxfY14ExfHz+pyznpiDWSmrIwOcFD3aj/Ad0F1EWmWVVVVN\nAkkRGY49ROQzT01klfwvIm1TI33fhp/LIv3dgXVy2qI/A/QG9gpKb5aWWARmlq9r8nUVkaOw3He9\nsb+z1sDrOcOi5Yd/bNWq1fdAh2gb0DH8vHElsk7FrLW1Ibrmosj8UH1QWSfsb8ZxHMdZDZLpRFfg\nb9iJGJiB5hLgutJ4qryq+9Z28rWoDgP+rKrXRdpGicjboS8vRVVV/wsr/OlyGQI8pKrPhetrROQ0\n4FDgHuy4cqGqXhP6nxORR4CTgDfC0eg+wOZBqVwgIiMxU3pWUT0JuDQcZWataWkR2VhVp+Uhw9rA\nJCqs5qvDM5jCcyT24BClKmvd6jAtfO9NhcK/WU4fWMaBLN9hVtXeVCi4xTnzlgFjcvZ6LtXmsROR\njYHx2APPU6paLiLXYtbR1eUrwgNVhM1CO8ACoGVOwNiGtVyj0tclIpsC7QE/jnIcx1kNkunEwVjx\npA1C0xuYFfWTwknVPMjXR7U38Ggl7Y9RoRzUle2A3BQM74V2MH/C3ACbSaE92z9PVb/I6S8WkQ4i\n0gWzSq1YQ1WnYkea2TmqkmF71h4exRT+KHkrmOEh4CrgZhE5IQQ8EVwCtqEWqaBEZIKIjK1inZmY\n68Z1ItJZRLoC1wFPhmP/yu5Zhp0IXCYi64tIJ8wVJMoNwLki0k9EWopIaxHZWURqo2R2wN6z74Bl\nIrIbcCy1T4MVPYp/ANhZRI4VkVYi8kvsweuu0P8psBAYIiItwunAH2q55jfAZiFFWZR9gVdU1S2q\njuM4tSCZTqyXTCfGY/rSBphb4v8B/VxJzY98LapfY8ftuUfVv2Llo8S60BE7to8yFztyzPbn+k7m\n9ld2P2FMNmCmpjWq68+H4lqMbXKo6hfbbrtti6FDh/7p1ltvfQtg3XXX7RiLxcqBPgCtWrVqtdVW\nW/XMXlcyx/gjjzzyB1U9dfHixTf17dt3eVFR0ewuXbq8fthhh12Z7zytWrXabMstt3yyqv7S0tJL\nrrzyygsWLFiQBujUqdMrI0aMqHb+sWPH3nzuueeOmDdv3qctWrRYsOWWW948ZcqU3w8YMKAX0EdV\nvzz++OMvfffdd29esmRJb2B5mzZtPtt9991vBBZsvfXW63/66aetqpIpvP5lAwYMuGnGjBlPAEXt\n27d/s23btk8uXLhwy+h9BxxwwMbZ66233nr9qVOnZv8eiwHatWvXplu3busGuTj11FNPeu21185f\nsmTJ31u2bDm7d+/eNz3++OPvZ/uPPvroCydPnjxs2bJlpZ06dXqpTZs2/164cGGfqtbce++9e73w\nwguZ7PXpp5/+/OjRo3+3ZMmSOX379mXy5Mm/bN26NW3bth261VZb3VXda3aaDMU53x2nthTn+Wut\nFwAAIABJREFUfHdWk9umX7pvC1pcupzl3QBax9Z5Z/fO+19wYLejv8SCetdUisk/KLpGYplMzQYX\nEbkAGI75VmQDSn4NnIOl7sm1StU0316smkpnEjBWVW+KtP0b+ExVzxORG4BNVfXQSP85wDGqunNI\nKTQ2RGpn+3fELKSdMUX1B2AHVX0/MmZumOOJmmTI46WtEYnjX375ZW6//XbGjx9fMBmmTZvG6aef\nzr///e+CyeA0jb3gOI7TnFi4bD6Pzh7D+wstfKYotg4HrncUv+q8Hy1ia02ypXpz9cs3j+pVIrII\nSGI+nwAzsMjnKnNj1pJshDOwokLSjlRENL/HqoEjO1HhNzcZ6CwivSPH/zsBX2QDoUTkq7DG++F6\nc8xa+n5kjupkyIf9WTXopVmx5557sueee9Y8sAHZeOON10YltRjz8W0ye6gp7AWnVhTTxPaQ0+wo\nxvfQalGeWcqoGZcfOG3x5yMyLO8K0DrW5o09uxw4fI8uB0wvtHyNSHF9TpZ3eqpgZbwp+PWxOpWD\nRKQFFv3cOlyvA8RUdTFwJ/B0SJnzKpYmqAh4JNz+CFAqIudhuR/3xIJVBgR5vhCR58KYE7AI7yTm\nvJzlDuDPIvIiFt1eCjytqtmAlJpkyIcy6tHk7ayVlOF7yKkbZfgecupGGb6H8iaZTvTEsgZlT30X\nAucvySy+Y//1/lhtAK5TPXkrqlnqWNryOCwlFNgx+U9AJlhBXxWRoZiyuAFm5TxQVReGdeeJyIFY\nwvPLgZlYDtQ3I/P/CcujOgNL+3BXSGSe5WosT+hbWJqi/wLHRF5btTI4juM4juNkSaYTMSw/901U\n5Jp+FhhSGk99WTDB1iDy8lF18iaDlbf0p1BndeiDldb1PeSsLr6HnLrieyhPkunEhphx7ODQNB+L\n6L+rNJ5am5WrPtTj3qm1RdVxHMdxHGdtJVhRBwHXA11C81PAyaXx1LQqb3RWC1dUHcdxHMdx8iCZ\nTmyMxb78NjTNxapY3rOWW1EbjCoVVRH5AcvP+J2IjAHOrqN/quM4juM4TrMjWFEHY4VlsqWnHwdO\nKY2nZhZMsLWA6hJ6tcHKJoLVpW3T4NI4juM4juM0IZLpRDEWfH0HpqT+gAVvH+JKasNT3dH/e8AY\nEckm+D9PRCqNflfVy+tdMqdgiMj+wHBV/XWhZalvRGQT4ENgC1X9po5zdccySOysqt/Xh3yO4zhO\n0yCZTrQATgFGYqWxAR4GhpbGU5WW6nbqn+oU1ROBK4HDw/VAYFnOmBgW6e6K6hpCKHJwPTA00jYO\nWKqqQ8J1GdADKAeWAh9hiu3EyD1HAKcDOwDLgW+B54EbVPWzfOepb0LO3I41Dsxvrtkicj9wCXBm\nfczpOI7jFJ5kOrE5MBrYKzR9B5wGPOi+qNWTWbqUWFFRzQPzpEpFVVU/JiSuFZHlwJ6q6k8Qaz77\nAUWqOiHSlmHl8rAZ4ERVvV9E2mBPm4+LyEaqukBELsGKJfwf8Jiqfi8iPbGHnv2Bz2qYp1dD+EOL\nSJGqLq3naccAk0TkQs+36ziO07wJVtTTgauAdqH5H8AZpfHU7IIJ1kxIlyR2irUqemDz0fdKfc2Z\nbwnVtaY4bWNxZSLdGti4kZabdmEqviTPsQOxZMW5VFq3V1UXi8idwBlAXETmYGV2B6nq/ZFx3wBV\nltvNmWdzYFJNggaL7F2Ycr0D8Alwqqq+HfrHYZXFlgC/B1Iicg0wFeilqjPDuMOAC8O6i7FCEReF\nvj2xf1h9sWpmt6rq3yJyp0XkO2BfalfBzHEcx2lCJNOJLTDjQ7/Q9C1wamk85f/bayBdkmgFDAMu\nyZQvrdeMUnlPJiLbYCVJtwpNU4BrVPXD+hRobSAoqUo918OthrIrE2nJU1ndERifx7gYgIi0B07G\nUnR8ijmYA/wzT9mqmidfTsaSLX+AWXCfFJHNItbNw7HqYydgAYE9ojeLyG+BcUACeBoLINwu9G0F\n/Ce8piewJMZPichsVb03Ms0HwE64ouo4jtPsSKYTLbEUU1dQETg+Hji7NJ4qaPxBYnS6C3AU9jnX\nJIPaWy/7ue3625+8VdGypZ0AlrVo+XNpTTfVgrwUVRH5HfAo8D/M2hYDfo0deQ5U1SfrUSansHTF\nqmtURwy4XURuwUrVfgD8TlUXhQCj71S1PDtYREqBIUBL4HVV3b+mefKUNYNZP7PW15GhBO5BQCq0\nvayqD4affxJZ5TTiDOC2yB5eALwafh4KPKiqj4drFZG/Y6WAo4rqfCpK5zmO4zjNhGQ60Rezou4W\nmmZiKacer/quhiUxOt0C6I/FCv2BJqqgZlnSch2md1zpgHid+pw/X4vqFcDfVPXP0caggFwBuKJa\nCy5MxZdcmUgLTfPofw7QuYYxGeCk6NF+hO+A7iLSKqusqmoSSIrIcGBAnvPkS1nO9VdAr2r6c9kU\neKiKvt7Ab4JrQJYWYY0onTF3AsdxHKcZkEwnWgHnAZdSoViNBc4tjafmFkKmxOh0Lywd6PHAZpGu\nnzFj4ZcFEKtS2i9Z2HHLHz75bbvyH4sBymOtFpZ1Ln7q6w4bfrFe+1Zd63OtfBXVvsAfK2m/Cwua\ncWpJUBw/L7QclTCJCveO1eEZTAE9Ergvp69SP9c60jv7Q8hYsCkwPdJfU3RmGXakX1XfGFU9vYY5\ntsaeyB3HcZwmTjKd2AZTSncJTdOBIaXx1NONLUtidLo1dqx/IhZsHI0JehfTsx5IDY7PaWzZKiNd\nkogBRwN/p8KolQJOi49L/RCuq/pMXS3yVVR/wJSXz3LaJfQ5aw6PAjfntOWtYKpqmYhcBdwsIusA\n/w5R/92BbahZcVyBiEwAvlDV46sYEgOOF5FHMJ/pc7Ajkv/kuwb2x5YSkReB57Aoz21V9VXgVmCi\niDxNhQLeB+imqi8FGeNA93Cv4ziO00RJphNFWMDPxVigLcCdwPml8dS8xpQlMTq9NaacHgt0i3TN\nwYw8d6UGx99rTJlqIl2SWA+4DTgiNM0BhsbHpVJV31V38lVU7wfuEJH1gGwBgF9jeVbvaQjBnMKg\nqs+ISLmI9I/kM81NT1XTHCNE5EMs59wNIb3Z11ge1YtqIc7GVG+pzGCVQm6iIur/d6q6oAa5V7Sp\n6pMiks0Z/A9gEfaP61VV/VBEDsLcW8ZiT7ppLI1WlhOAsZE1HcdxnCZGMp3YAfs/vkNo+hIYXBpP\nNZqRITE63Qk7bTwR2DWn+znMevpoanB8cWPJlC/pksTvsLyyPUPTM8CJ8XGpGQ29diyTqVn/EJHW\nwNVYcEnr0LwESzd0QQPkpmyuZDArc22i1pscoTLVharav4AybAY8rKo7VDPmC6xAQF18XFebBqhM\n1QfLBtHs95BTMHwPOXVljdpDyXSiNWYguYAK49ytwLDSeKrBDQyJ0ekYlu7qRMwS2S7SPQ1Tnsem\nBsfLGlqW1SFdkugAXAecFJp+xDLs3B4fV2Xhgz7U497JN4/qEuBcEbkYyzUJkFbVH+tLEKfpoKrP\nYE9LhZRhKhVPvk0SVZ1N46UYcxzHcWpBMp3YGVMEtw1NU4ETS+OpCQ29dmJ0egNgEHbqtkWkawnm\nYncX8HxqcDy34meTIV2S6AfcTUVg1xvAcfFxqVw30AalVklZQ9qg9xtIFsdxHMdxnDqRTCfaACOw\n3O8tsdPOm4DhpfFUvukPa01idLoIOBCznh4Y1s7yPqac3pcaHC9obtaaSJck1gEuw96/GFbi/BLg\nmvi4VHl19zYE9Vo9wHEaE1XtXfMox3EcZ20hmU7sillR+4amz4ATSuOpVxpqzcTo9JaY5fQ4Vi4q\nMx+L8bkLeCc1OJ53rEehSJcktsfyhGet0B8Cx8THpQoW2OWKquM4juM4zZpkOtEWuBw4Fwt8XQ78\nDRhRGk/9VN/rJUanO2BpO08A9sjpnoAppw+nBsebhYtkuiTREjgfew+LMCv0dcDF8XGpggZ3uaLq\nOI7jOE6zJZlO7IFliMnm7/wEOL40nnqjPtcJgVG7YUf7RwIdIt0zsHLcY1OD400xR3qVpEsSm2O+\nqFmFuwwYFB+XeqlgQkVwRdVxHMdxnGZHMp1oD/wVOBPzpVwOlAKXlcbrzwqYGJ1eHzvWP4EKlwKA\ncuAxzHr6TFMOjKqMkLx/CGZ5bh+a7wLOiY9r+IwI+VIrRVVEWmIvagBmWn8JuDVkBXAcx3Ecx2lw\nkulEf0ypymYimoJZUd+uj/kTo9OtgAMw5fRgVtaXPgpr35saHJ9dH+s1NumSxAbYa/htaJoFDI6P\nSz1eOKkqp7YW1WuBnbHE6Otg5u8dsNq0juM4juM4DUYyneiA5XU/LTSVA1cBfy2Np36u6/yJ0ek4\nppwOAjaMdC3ASoXeBfyvOQRGVUW6JHEEMApYNzQ9DJwSH5dqkkp3tYqqiOymqlEfj4OArbMW1FBa\n8rUGlM9xHMdxHIdkOrEPVh2pODRNBkpK43WLSE+MTrcDDscU1NxCN69gyumDqcHxBktt1RikSxJd\nsUJNR4em+cDpwPhqkvcXnJosqveJyL+xKkWLga+AEhG5F4sKOxZLoOusQYTKVMNV9deFlqUxEJFy\nYG9VbRKO400JETkAqz5XsCpljuOs3STTiU7ANVRUR1oK/AW4ujSeWq3KmCEwahfsZPgooFOk+xss\nuGhManC82VfnAkiXJPbF0nZtFJpeAI6Pj0t9VTip8qMmRXU7zKT+vogMAU7GcoKNCv0fYOZxZw1B\nRGLA9Vi53GzbOGCpqg4J12VYrrjy8KXAJaGiFZWMyWAPOX9V1QdEZE/gyciy7YGfw1iAl1T1d/X+\n4qqmyT5JNia5v2cAVX1aREaIyGGq+nDhpHMcZ20kmU7sD9wJbBya3sF8UT9YnfkSo9PdgGMw6+m2\nka5lwBNY9oAnU4PjjZ7YviFIlyTaAyOpcJVYDPwZuCU+LrW8YILVgmoV1VCJ6kwR2R3bKBOBvbFA\nqhaqOre+BAkfkkdjCkuW81V1VGTMcVh1hJ6YkjxUVd+N9O+C1fDdGvgaU57ui/SvjynZA7Bf1hjM\nWpQJ/S0x35dBQBvgv8DJ9VTHfSXSiYmtqfjDa2imxVP98w142w8oUtUJkbYMKytzGeBEVb1fRFpj\nUZcPiUivyJ5YMQZARA4GHhaRd1X1ZaBjdjIR+Qz4i6reszovLl9EpEhVV+vpu5o5W68FwYRjgLMw\nPybHcZwGJ5lOdMGi0Y8PTUuAS4FrSuO1q46UGJ1uCeyLKacDsRPhLJ9iR/v3pAbHv6mj2E2KdEli\nN+AeKkq4vo2VQP24cFLVnryCqVT1NRHZCStJ9h6mIP63nmXJAONU9aTKOkWkH6aEDsQU5rOBJ0Vk\nC1VdICKdgaew1BR7YH4mj4jI5xE/2/uAeZjpuxvwNPBDuAdgGPB74JehfQxWoeHA+nyhQUlVGq9O\nfFk6MVHyVFYHAs9W0h6rbLCqLgkPGf+HRV++U8W4x0VkDpbaQ/OSugZEZD3M+rtvaHoGOEdV54T+\nMuwf0N6EIx4ReQrz0TkI88+5tJJ5BwIXY/WNvwauiCjcJcBF2APPWcBcVn4qz85xFnAKttfmYHvv\nIlVdHvqXYylVSoAtgfeGDRs2bNmyZVx//fUTy8vLi4BRqnpRZM7+2F6VINf1qnpH6NsLeFZViyLj\nLwX2UNV9I2uehv3j3xKrOFKiqioiSYLfkogksL/HzuEh7jngdhHpmn1vHcdxGopkOnEQcDsVwUxv\nYtWlPqrNPInR6d7Y/7sSVjYMLQL+iX0+vNacA6MqI12SaI19hl2IGRaXYa4SV8bHrZ6rRCGpUVEV\nkd9hH2rvq+pwEXkQuCt8mJ2jqvPqSZYYVShDgSHAQ6r6XLi+RkROAw7FnhgOAxaq6jWh/zkReQTz\naXlDRHoD+wCbq+oCYIGIjMSUjqyiehJwqaqWAYQP77SIbKyq0+rpdTZ1dgTG5zEuBiAi7bDfzQ+s\nqoBmx7QEDgHaYU909cV9mAV+y7DWeOzB4qDImMHA71V1soi0Af6OKdR9Mav6OCL1mEVkX8xZ/xBV\nfVVEfgE8IyLTgiUYYFNgAyBO1Xt2GnCAqn4pIjtgD0VlwB2RMUdjD0ZzgCeuvfba+0855RQmTJiw\nd79+/YqA/4nIk+FBsTf2IHZKeJ2/wB7UflDVf9XiPRuE/a3MCvPcDOynqqUi0hc7+l/pYVFVy0Rk\nEbY3XqjFWo7jOHmTTCfWBW7EjubB/kdfDFxfGk/llaM0MTrdFtMLTsSMFFFexwxQ/0gNjjeZPKH1\nSboksTWmE+0UmhQ4Nj4u9VbhpKobNUX9X4dtmBeBoSJyt6peLiK7AucB74rIOar6WD3IkgH+ICKH\nAd8B/wYuC+4HYP6yY3PueS+0A2wPTMrpn0TFht8emKeqX+T0F4tIB+y92JiIRVBVp4rI/HBvvSmq\n8VT/JenERKFpHv13xSyN1RHDLGy3YA7oc4DfqOrCKsa0wY5aLlXV6bUTvXJEZEPMTWGL7MOSiJwL\nfCIiPVT1W2xPjVbVyeG2JZhyeKCqzgr3JDErcpazgBtV9VUAVX1LRO7Dkj1nFdWlwLDq3Aii/pyq\n+p6IjMcelKKK6nWqOjPI8dCyZctGnnHGGQDLVPVjEZmMpYN7DXP2fyfiHvGmiNyOKeK1UVSvyf4O\nRORuTLHPUt3D4nwqUpk4juPUK8l0YiB2UtUjNL2KWVHzCmZKjE7vhB3t/wnoEumajSluY1KD47Wy\nyDYn0iWJFthJ85VY+lAwpf+C+Lj6LyHbmNRkUT0es7a8LSLrYub3y1W1HLhaRB7GrE/1oajeDCRV\ndbaIbIUppXdSkUahI3ZsH2UuFZF6HVlVwcrtr+x+wpisVa26NfKhOJ9B8VSjBlEX5zuwTZs2P/Xq\n1StORSk61l133U6xWKw829aqVauWW2211YgHH3zwifvvv79baWnpzeuss85fgGT2nugYgGuvvXbT\ncePGjdpnn316PP/88zdH1ywqKioSkZ7RNWvioIMO2u6JJ57g3XffbZW975VXXmnZr18/DjnkkD2A\nKa1atWrVt2/fxdn+yy+/fL0RI0asc/rpp8dy7xkwYEAvoE/r1q1l6dKlv+nbt+952bVisVjL9u3b\nvwX02XrrrXuo6ncffvhh7+rk++Mf//g7VT1+yZIlvYBWsVisqG3btpOir/GAAw5YIfvWW2/dcerU\nqfOxknzFAO3atct069atGOjTrVu3bcrLy7+P3r/lllsumjp16uZAn7333rvXCy+8QLS/V69e682Z\nM6ddVWvuvffeXV944YWO2et11123Y/T3HCUWi3Xp379/u8r6nCZFcc53x6ktxTnfG5R35r/U9fHv\n7rkYCAG0scXrF2143am9Lh3fvmVHqOZ/zptfLOz04Ds/HPztgqVHsHLFqOVti1q8tOl6rR885dfr\nT+zZqXXWqNCs/n/9+MGc9gvfmN1rycwfey1fsLRnJlNx+hcls3ReZzK7HsyyHzcFINZqfssOWzze\not3GC4HhX/5f4xpTW3Vtve5GF20/tOaRec5XQ/8ioDd2XLsJsJJWrqqfBr+5OhMNilLVj0TkbGCi\niAwKlqsFQOec27oCn4WfF2BHslG6UKG8VnZ/l0hfdgNUNqYmC2OUZ2oe0nQZOHAgmAX54mzbXnvt\nRcuWLQH+CNCjRw+OO+6464Drjj76aHbffXcOOuignd5+++1DdtllF3LHAJx33nksW7aMV1555XQs\nb9sKNtxwQ4499tiRWGRiXiSTSf7zn//w/ffff9K+vVV+W7hwIbFYjGQy+VBWhkGDBl2DpTXh8MMP\n54orrmCXXXZ5PjvPjz/+SCwWo6Sk5D6AX/3qV+y2226ccMIJuUvuBegxxxzDqFGjoBo/26+//poP\nPviAv//97/z617+mVatWjBw5kilTpvwqe18sFmPQoEGp7D2ReSHsoW222YY99thjV+Dc4447jokT\nJ4K5UADQv39/unfvDqCnnXYaL774IkuXLtWiInNT3X333Zk+fTpVrVlSUsJLL720ov83v/kNLVq0\ngPB7zjJjxgxisRgjR468u6rX7DQ5mvX/IadJ0OB76P2Fb/DE9+P5cbkdxm3Wpi9H9Di5zXpFPYcD\nwyu7Z3kmw4czf+JFnc9bXy5i6bIK99IenYrYq09H+m/RqcW67Vvthf3fbrJkypez9LufKZ/1E0tn\nLWbprMWUz1rM0tn28/IF+bqTFlFx0g9Ap2Vz+NOyOT/Wv9B5sHTGjxDJHFRXalJUhwF3i8hNmH/h\nKqmoshHzDUj2KDJ7DAqsSKO0IxXHnu8R+RAP7BTas/d3FpHekeP/nYAvgs8qIvJVWOP9cL05Zk19\nvxby7o/5IjZLpk+f3u/NN9+8+LLLLts/2/biiy9e3aJFi6UE5fXbb799/p577rn+4IMPfgKguLiY\njh07XjFkyJCNJ02aNCgy5oaDDz74cYAbb7yx17333ntnhw4d3sdSY6xg5syZ/7333ntvHThw4KPR\n9h133PHeNm3aTH/99dcvyJWzR48etGvXbvRhhx328zXXXPPnJUuWtBg+fHhp+/btY926dTu5Mjlb\ntmxJhw4drjz11FOLhw8ffnrPnj1/Pvfcc6/KZDL7jRs37phf/OIXb2cymd2vvfbakZMmTTr78ssv\nnzR//vyWt912Wx+Aq6+++sPx48cfOnPmzFMxt4NKGTNmzGbLly9/8vHHH0/069fvvXPPPXf7p59+\n+rZ11lnnM8LfUCaT+eTuu+8+aqeddpoEMH78+ENnzZp1JhY8sD9QNmXKlHu/+eabV0855ZRR5eXl\nG7377rtP/uEPfxgxatSoJ0aOHLnVf/7znzt32GGHS4Bn5s+f3x54+dBDD732H//4xwPDhg3b6bnn\nnru1bdu2H2LHYausOW7cuF+Wl5ePxbJk8Prrr58zd+7c7UeMGFHSunXrFa9n6NChR7Rp0+aQLl26\nHIPT1CnGFIxm/X/IKSjFNPAeemPec+s99f0Dl/y0fNH+ADFiP67futc1x2+YfGCdFm0r1SkefW/O\nBi/ovMO+X1R+2LLl9Mq2x2Bxh3VaPC092/7rrL17vlXUsrpQl8Zl+U/lsfkTvun+0yfzepXP/nnj\nZQuX9lr+07JemSXLemXKM71YlumJBTvVRDktY98QI+LCt7wlyxd1J7O0nV3HltOi/WxirQtelCDW\nqkVRzaNqMV8mU72eKSLdsOjnzxoy4jcEZz2lqvNEZAss2e4MVT0i9O+BBaQcgvmunAWcg/koLgxR\n/59hgVE3A3sCjwADVPXNMMd/saP9E4DuWHDKXapaGvovxHwRD8D8LscAbVU136j/DBaR3awTBIvI\nR8CpqjoxXI8lEmQjIl9gBQHuj9xTjL3u/VR1QhjTE8uNGsNcKJ4EzlPV+TnrVZqeSkQ+x/yUK01b\nFfZmZVH/P1QjZ0csoOogbC9cgrmvDMgm/BeRAzGlXIDlWA3pEar6kogMCnNWe4QkIhcDZwCtMR/v\nMmB7Vd079C8H+qnqa+F6UFFR0aVTpkwpDut+KiIvYpH8V4Yxe2FWZ8ESUt+Qk77tD9j+7479rUwH\ntlHV/apYcy/gv6raOlz3Bh6g4nhsPVXNiMhrwLWeR7VZ0AezkDf7/0NOwWiwPZRMJ2KYv/1NwHqh\n+XlgSGk89UXu+MTo9DrYZ/6J2P/5qBb6Fha1n0oNjtdXUHetSScmdsFOnjcL33tHroup8Betia+x\nAkpfRL6y1zPiqf4rgsnSJYlDsawI3UPTE8CQ+LhUU0mv1Yd63Ds1KqqNRfhQ3g77pc7CcjZeGg3Q\nEZFjsXRCG2BWzlNVdVKkfxdMCdkWmIkpF1ElpTvmrL0vFi1+l6oOi/S3wBSBkiDHf4GTsopPHqwp\niur+WDWyglUjEpHNgIdVdYdCyVAAmpyS0RT2glMrmtwecpodDbKHkunEBtjn7+9D0wIsKPvO0vjK\n5TsTo9PbYcrpMawcxPk9lq3krtTg+Gol/K8t6cTENphbYWWKaG9WDtyqjnmsrIhGf/4ynupfY8BT\nuiTRGQuQyp5uL8QCqMY0sRKoa6aiuoawRiiqTsFwJcOpK76HnLpSr3soWFGPA26gQql7BjipNF5R\nvjMxOt0Zs7aeiOW9zpLBjEZ3AY+lBsejRYHqTDoxsSXmclWVIrph1XevxM/YyVlliugX8VT/Op1I\np0sSv8HSKW4Sml4GBsXHrWqJbgLUq6KaV8J/x3Ecx3Gc2pBMJ3phR9RZ97l5mMveuNJ4KpMYnY5h\nxXlOBA7HUhlmKcPc7+5ODY6vdj36dGJiDHMzqEwJ7Y1ZS/Pxqcxg7lSVKqLA1/FU/3orSZouSWyC\nuTDuCfQjxBJgaRaHA9fHx+WXW7a544qq4ziO4zj1RrCinoCVQM2md3wCOKU0npqRGJ3eKDEhPSiM\n2Txy68+Y299dwIupwfG8FL90YmI7qlZEexMp2V0D31O1IvpVPNW/Xq25WUIO1L6srJhuUsnQycAx\n8XGpKQ0hR1PFFVXHcRzHceqFZDqxKVbYJJsZZQ5w5sw3zvln+eL1DkpMSJ+IBSxHo90nYcrp/anB\n8VWOyNOJidmCPFUpoj1y76mCn6hcCZ0KlMVT/WuTinK1CSVOd6JCMd2DyguqLMby178cvl5sjiVQ\n64orqo7jOI7j1IlkOtECK0N+DVa4BODR2VOOuv6n77b+PWZd7R65ZS4WGDXmiudmvAesD0j6uf9v\n797jI6vrg49/fmduuW32wl5A7kvgWxEWhYIU5LLPq1Cv0NqnZSoUUrFYQUVrRR/K84jYWlx84auC\nilohSMVQirUqClRZgrCI3OQq32WAhQ23XXazu7lukpnz/PE7s5lMJskkmWQmu9/3i3nNmXN+55zf\nOZyd+eZ3faVUIHoAlB7svkgWP4vkeL3nN7W0nzLnHXMyrekm4I8YKS09HqgvkbQLP6pRPjB9tKWt\nfVZKcecTC1SNMcYYM22XZNIr8cP8rQbIDae2bl1/xn/2bVq1ClwHQHI4x+L+LG/pHnx1fpgkAAAc\nIElEQVT88E0DTxy6ZaA7HnIQfhrng/FjtZfjDUoHoS/ipwsfruS1TUemNb0cH5DmA9N3UDrQ7mQk\nKP018ExLW3vF2rnuLixQNcYYY8yURaWoFwFXuqGgIdkp1Ok736jfvPfiwweyFywe6GJx/zBL+oZz\nDcNhvqr/qOg1nm7GD0Q3tLSfUvUB7QtlWtMOH2gXti+VcZL/ntGB6cs1NqxUTbJA1RhjjDETyqQ7\nAvwkLiuBg3cs3nHMaXv/STrV27iiactimnqT+UanK3zn/lEK26MOAS8xfqelLdWoni9XpjUdA45g\ndGBaagirYeBRRoLS+1va2t+cq3zuTixQNWNEg7z/o6qeXO28VJqIHAA8jZ/RbEazeEQTSDwEHKOq\nWyqRP2OMqZZMusMtPnP/A1IrF7Cl/cUPD73Wv4CR9qIHUTDLUnNXM81dzSWPszPmtsdy4bPxkPWM\nLR19tXCWpVqXaU2ngGMZCUpPBBaWSNoHPMBIYPpgS1t7TZX+zlcWqJpRRMThpyW9sGBdG34K1b+N\nPm/A97Icjl4KfEFV7yzYpzBNCLwM/LOq/lBETsJPp5rXiB+WJN+26F5VfV/FLw5Q1Zcpf6iSyY61\nWURuxk/D+slKHNMYY+ZSJt1xIL5t6Wpgddd/b9w/2vS58fbpj0NXfYKt9TG66uNsT8UGsoH7Vd1w\n7objN/bcfsyNJw3MRd5nQzT70wmMBKbHUXoa1DeB+xgJTH+3J/bInwsWqJpipwMJVb2nYF0YvQo/\nn6+qN4tIEvhn4DYR2U9VtxWnARCRDwA/EpFHVfXXFASLIvIc8CVV/f6sXZU/T0JVK/1Fcj3wmIhc\nWjjdrzHG1KJMumMffFD6v6L3lcVpXMIRhrzAcKjDARvX75Va9Mx+4alvJBYu76qPM5CIavJd9j7C\n2HeA29o/0tI3h5dRMZnW9D6MrsZfxeimCnkbGN2+VK196dywQLVKonHU9p80YWVsbGlrHywz7Z8C\n/1NivSuVWFUHoxLXz+AHbn5knHQ/FZEu/KDGWmZeJhSV2n4PH1y/HXgW+JiqPhxtb8PPODKIn1+6\nXUSuwlc/7aeqr0bpPghcGuV/APieql4WbTsJ+Jco313AN1X16oLryojIm8BpwH9V4rqMMaZSMumO\nZcCpjJSa/kGJZH340sG1TScuf275x+Q/r7130+fXvdBzOuTOgWBXj/wg2Z1LprbfOti932Xt50tm\nLq6hUqKOT4cyOjA9pETSEHiKkaD0vpa29s65yqcZzQLVKoiCVMW3+ZkLGzKtaSkzWH0Hfmy7yTgA\nEWkA/hbYytgANJ8mBpyJH37k4XIzXaaPAh8AnsQHyz8XkZUFpZv/GzgHPwNKHUUDQ4vIe/DzJ6eB\nO/DNEFZF2w4HbgfOxs+qchjwCxHZrKo3FRzmSfzgzRaoGmOqKpPuWISfljRfanpkiWQ7gXXA2uj1\n28v+eN+FwHHLmuLvSf24k85tg//hkwbgstTv9Sx1S567M9n0+of+9eivbp2La5mpTGs6jh9hIB+U\nvovSkwMM4fsb5APTdS1t7WMmHjDVYYGqKbYYmGx2Dgd8W0SuxU+P1wWsLqr6LkxThy/ZvFxVK/lX\naYgv/Xws+vwVEbkQeD/QHq37tareGi33i4wZNeQTwLdUNd9mths/4DL4drq3qupPo88qIt8AzsWP\n/Ze3g9KzihhjzKzKpDsW4AOwfFX+0YytARvGz3C0Frh77cELHv3VIc2HA+/EDy91I1ETgM09I8OQ\nxhs20bTPIzQuf7wzluo5f01L+12zfT0zkWlN1+OvKR+YnsDI5AOFuvGBej4wfailrb1/rvJppsYC\n1SpoaWsfzLSmhdqs+u+idI/GQiFwQdRGdW/gNuAS4K9LpQEQkUOBn4hIXFUvn1LuJ7ah6PPLwH4T\nbC92ID7/pRwMrI6aBuQF0TkKLcQ3JzDGmFkVzWt/AiMlpscydjD5HL72am3Wcc/1Ry/d9NLi1JH4\njkFX4UsZS/z+h2Gibnt33ZL1zQ0rHiXZ3IlzXAd8bk1L+5xMLzoVmdb0Enwv/Hxg+of4QpFibzC6\nfekTLW3t82bkgT2dBapVEgWOz1c7HyU8BhxebmJVfV1EWoGnReTbqnrfOOmeE5HbgQ8Cl1cio5GD\n8wvRiAUH4mf7yJussfsGfJX+eNuuV9WPT3KMt+E7VRljTEVl0h0pfClhvsT0eCBZlCwEHgfWvtEY\nf+SWI5cMb2pKHBnt93eMU/gQxHv7ks2vZOsWvdiUbN7okk2vuiA+2AwQI9aZhfPWtLTfPUuXNmWZ\n1vT+jG5fesR4SRkdmD5vHZ/mLwtUTbEfA9cUrSvZkSovCkK/D1yB/zIds5+IrATeh28HVBYRuQd4\nUVX/ZpwkDvgbEfkvfMP3T+ObGdxe7jmAb+A7Wa0FfolvR3ukqt4PfBPoEJE7gDvxPwaHAUtV9d4o\njy34+at/OYVzGmNMSZl0RwJfMpgvMT2B0vPCPzPsuPfZZXUbf3lIc/BmY+JIfEHAp0sd1wVDw8mm\nV7OphS+lks0bSTZ3Ek91F09b+kYqqNfVi844+cB6+cAh9Yf/roKXNiVRx6e3MhKUnoQviCiWwwfp\nhR2fZjRGtqktFqiaUVT1ThEZFpFTVLUjWl08PFUp/wSsF5FTC4a2+jcRuQ4fUG7Dj536D1PIzv5M\nXFIZAt8Bvs5Ir//3qWr3JPnetU5Vfy4i5wNfBm4BeoHvAver6tMi8v7o2m7AV/tngK8UHOvDwA0F\n5zTGmLJl0h0x/PdXvsT0JEq0qwzhue5k8Ngzy+u3rjugqWFrQ/xIfEfWEnPI58JE46ZcqnljLNm8\nkeSCThKNm+POhYW/+S/ga9B2vda0tL+G/2Nc8SMBzJlMazqBb19b2PFprxJJd+Lb2+YD0wda2mqv\nWYKpHBeGVhpeQSF+jt/11c7ITEQzU12qqqdUMQ8rgR+p6tsnSPMifgatm+cuZ6POX+mZqfI/EPP+\nGTJVY89QjYumIj2CkeGiTgEWFafLQeebjXF9Zlld36NvaVyytSG+inEmK4mltoWp5o0uuaCTZHMn\nyQWvEsR2DRmdxc8xXxiU/m5NS/u2Usdijp6hTGu6Cd+MIR+YHo+v0Sq2Dd/BNR+YPtLS1r5ztvJl\nKuIwKvjsWImqGSOaYerOSRPObh5ewJcy1CxV3czcDTFmjJmHMumOenxb+lPwpaanAkuL0w073nyj\nKbHxmeX1uSdX1O+ztSG+H6M7hgLgYgMkF7xCKqq+Ty3oJJbqyTez6geeYHRQ+tSalur3aM+0ppcx\nUlJ6Er70tERpMK8wun3p0y1t7bm5yqepPRaoGmOMMWXKpDscvgR0BbC8jPeSpaBDAd2vNCc3P7u0\nLvXssrp93myIL8W50QGsy5JofJ1UcyfJBZ2kmjuJN7yJcyH4ksZHGR2Url/T0j5cfK65FrUvPYjR\n7UtLTTQAvslWYWD6knV8MoUsUDXzlqoePHkqY4yZWNSBaSnlB5+lhkCa0GDgBjoXJnp+v6xuwfNL\n6lKbGuMLcG5UEBur6yK1ICopbe4k0fQqQWwYfCnjY0Wvl9a01EZAl2lN55szFAam+5ZImsUH1/mg\n9P6WtvbNc5VPMz9ZoGqMMWa3k0l3NDISXE4WeJbqtFOWYUe2PxEM9iSDbE8y5nakgnh3KpbqScbo\nSQb0JmN0pwK2NMTrQufq8vu5eD+pqE1p/j2W7A2B5xjbyammgrlMazqFH5kgH5SeSIl2tvgOWb9h\nJDB9sKWtvadEOmPGZYGqMcaYmhd1QlpM+aWejdM9V3/cZXuTAd3JWNCTirmeZEBvIqAnFaMnevef\nA4ZiQYzSw0eNcMMkm17ZVX2fbO4kXr9lyLnwaUZX3z+xpqW95kYQybSmm/HDZOUD0+PwQwEW2wLc\nx0hg+lhLW/tQiXTGlM0CVWOMMVWRSXck8UFlOYHnMqb5m5V10JMM6EnG6B317ks8e6LlnmSMvkRA\nLnClOvkAvjNTkOghFu8nlugjkegjSPQRRJ+DRD9B3K+LRdtcbOc253ia0SWlT69pKXvGwDk1vG0b\nr1979bsHMusvwgemR+GH5yv2EqPbl6p1fDKVZoGqMcaYiog6GjVRfqnn4umeayDmJgg6R9b1JGMM\nxB24onlL3HAUSO4giPf7YDPRT1MUZAajA9AwiPfvCBJ9W12Q68JPNT3ea1vR5+3V6OAUdWhqwN/j\nJdGr1PLodc4txQ9b+a8lDvsUowfW3zjLl2GMBarGGGPGFw1Iv4TRQeaogDOEFSHs7WC5g9R0zpMD\n+hLBruDTB55jg87eaP1QLNi1ZxAfiILKnl0BZiwKPusTfTT6gDPng82BbbFE7xYX27nVuQkDzsLX\njjUt1SkpzLSm4/j2n+MHl+MvF0+1OrmRsdWHgIcZCUzXtbS1b53+lRgzPRaoGmPMHiaT7qijRJV7\nCMuzjrfknNsXWBGE4dIYLHKTTKPsKJ1g2OGDzlTUxrNE1Xs+KO1PBITxoZJV57tKPOP92Xh8oGdx\nfGB7kOjvChK9b8YSvZtdkNtK6dLMwld3tXrJF5RulhNcFq9rrmBWBoCt0aur1HLqkENTS//yQ19z\nqdQxdQetfLKC5zZmWixQLSIiMeBK4Dx8Y/G7gI9WaOYhY4wpS9R5KIb/ns6/x0us2/XevHrvlQtO\n2ZstP3zh9N71O04biAcHZR374djHkdsnlmNJIktzYpySNgfEQwpL1cbojxdUuec7GI0p/YS+hkGG\n6voJksVtN/uHg9jOPhcf6A7iA9uCeP/W5mTv5sXJ7jeC+M43mbg6vbc42IyCwAT+mkq98h2wUhnS\n46UZ75WaYvrx9qmjcr+3YXQ/Jgw4Syx3tbSVNfD/YcDX8FOVGlN1FqiO9XngDHyvxq34ueZvAt5b\nzUwZszuJ2jKWCsQmDcxyjthQ4FJDgUtkA5I55xI5RzLnXDJ0JEJI5hxxIJkLwmTowmQYhInQhSkg\nEbowFToSQALCBI4EIQn8POgJ58+VICTm8nkIiTuiz359zIXEgJgLXRB9DggJAghcSCy/TOhcEBK4\nEOdCAkf0HuICv845CpZ9+omLMMexY+3r7Fj7OsA1MaBxaPLa6hyMaeM5Kuisy9LfMEhfw04GmvoJ\n63zJZiwY2BkLBvrjwUBv3PX3JunvSYW93Xtlu7sPGOzrru8Pd9b3srOhi6HGboaatjO8YDvZ1AAB\npQO7ZfixNycMBKNgszAYnPKYpjWin/KDzMLl7dZhyexJLFAd6wLgclXdACAilwAZEdlfVSvWcDz6\noc5zAE8tr6NxMOcA6mM7XFdD4ACyqf6gLx5zAMlh53oahgOARNb3DhhIZYN4tDzkAhc4vz2Wcy7r\nApeLDbtYzrksgcvFs9GyT+9cLgAIcS7IOZeLZV1IQBD67dkgFwQ5vxyEuGzge34GIS6Hc2GQc0HO\n5z8X+B9bgBzOOcJdx3YhjiB0LkdBLWKYP43f5Hz6IOscLudCF+0H5FzoXJTYhbjQ5fMR+lO6MP+f\nT1N8bpdzhfnYtVxw/6NjB2GUDxf61aELA/IZdTgK9sufx4UQOudwYbQ933Mj3JXe+b3z585vDfLb\nlyxtXnHYqgN59rEXP9y9pWcHkHShSzkfNCXBJV1IAlzChSRc6BIuJB59jrvQxYF4ELoYEPfBkou5\n0MWdD64CF7qYC6PgKtwVZAXR5+jlnAsJov85QRAFT1Gg5YKC5XywFYTRhYX+2fDvLv+ZKB27XhP8\n25hMEEIqG5LKTrcWd8w/vd3OUACF43j6d+itz9JfP0Rf4076GwYYrO8Ls6neXJK+sC7bT/1wH41D\nfTTt7HNLBvpiBw700zCQJbkDUv2QGvCvWJYYviq7gRmMQVpFO4HBglfx56m8ytl3J0WloC1t7QOz\nf5nGzH8unKCKZ08jIovwXyJvV9UnCtZvA85R1Z9NtP9z55095mbunj+DxtSeufomq/3z2LeOMaa6\n5MZ/r9gXkZWojpafzm570fptlNGg/dAbf2C/EMYYY4wxFTKTGrjdUX5GkIVF6xcBO+Y4L8YYY4wx\nezQLVAuo6jbgZeCY/DoROQRfmvrEePsZY4wxxpjKszaqRUTkUuBc4N34HpbXA/Wqar3+jTHGGGPm\nkLVRHetK/Lh7D+GHQLkLOKeqOTLGGGOM2QNZiaoxxhhjjKlJ1kbVGGOMMcbUJAtUjTHGGGNMTbJA\n1RhjjDHG1CQLVI0xxhhjTE2yQNUYY4wxxtQkG55qlonICuBHwCB+uKvPqur91c2VmY9EZC8gA3xc\nVX9Q7fyY+UVE+oHfRB9vVtXvVjM/Zv4RkaPwQzgmgQ2qen6Vs2TmERE5FlgTfawDDlXVpZPtZ4Hq\n7NsMvEtVQxE5GPgBcEKV82Tmp8uAe6udCTNvdarq6mpnwsxPIpIErgL+XFW7J0tvTDFVfQhYDSAi\nfwWcWM5+FqjOMlXNFXxcDGypVl7M/CUiLcAS4NFq58XMW3uLyD34Gff+XlVfrHJ+zPxyPNAN3CQi\nC4GvqurtVc6Tmb/OA75QTkJrozoHROQgEbkPP8vVl6udHzMvfRG4vNqZMPPagap6KnANfmpoY6Zi\nX+Bo/BTjfwasEZEF1c2SmY9EZG/899GD5aS3EtUyiEgauAhYBTSoaqJoewzfbuc8fLuLu4CPquoW\nAFXdALwrqvr/7+g4Zg8yk2dIRE4AtqjqiyLi5jjrpkZU4Htoa/R+t4h8ey7zbmrDDJ+hLcBvVHVH\nlPYJoAV4bO6uwFTbTL+HImcDN5d7TitRLc9W4FrgU+Ns/zxwBnAcsF+07ibY1a4nrxvfocrseab9\nDAHHAKtE5Bf4f+CfFZF3zmJeTW2ayfdQY/QDgogcgTVB2lPN5HvoQaBFROLR79pbgQ2zl1VTo2by\nDOWdDfx7uSd0YRhOMY97LhE5FfifEn9BvARcrqo3RJ9X4ntnHwTsj6/uz+F7Sn5JVe+Yw2ybGjKN\nZ+hAVd1YkO4LwHOqWvZfo2b3Mp1nCNgHuA7/xzLAJ1X18TnLtKkp0/0eEpGzgI/jf8uuy6cze54Z\nPENHAt9U1ZPKPZdV/c+QiCzCB6OP5Nep6gsisgNYpao/A06pVv5M7ZvkGToK2Fiw/otzn0NT6yZ7\nhqLvoaOrlT9T+8r5HlLVW4BbqpRFU+PKfIaeBMoOUsGq/ish35h8e9H6bUDzHOfFzE/2DJmZsmfI\nzJQ9Q2amZuUZskB15vJVaQuL1i8CdsxxXsz8ZM+QmSl7hsxM2TNkZmpWniELVGdIVbcBL+M7vAAg\nIofg/3p4olr5MvOHPUNmpuwZMjNlz5CZqdl6hqwzVRlEJMA3Hj8ZuB1oApyqDkTbL8WPLfdu/GDa\n1wP1qvre6uTY1Bp7hsxM2TNkZsqeITNT1XiGrES1POcCfcAd+HvWD/SKyAHR9iuBnwIP4Tu+hMA5\nVcinqV32DJmZsmfIzJQ9Q2am5vwZshJVY4wxxhhTk6xE1RhjjDHG1CQLVI0xxhhjTE2yQNUYY4wx\nxtQkC1SNMcYYY0xNskDVGGOMMcbUJAtUjTHGGGNMTbJA1RhjjDHG1CQLVI0xxhhjTE2yQNUYY4wx\nxtQkC1SNMaYCRKRNRH5R7XxUiohcLiK/r8BxDhKRnIgcN0Gait47EfmCiJxSqeMZY6onXu0MGGPM\ndIlIPXApcBawH37e6eeBm1T1mijNdYCo6uoKnTMN3KyqxX/of4Ld64//q4Cv5z9U+j4W2d3unTGm\nQixQNcbMZ98CTgEuBh4HmoGjgf1n42QiMu53pqp2z8Y5q0VVe4HeOTpXRe6diPwF8HlAgItFZAPw\nPVX9RiWOb4yZexaoGmPmszOBz6nqTwrWPZlfEJHLgQui5Vy0ulVVvy8iFwOtQAvQA9wDfFpVX4/S\nnwrcDbwP+H/AO4CPAjcUHa9NVT8sIm3AClV9T7T9HuBZ4DXgY/jv2x8Dn1DV/ihNA3At8OfAIPBd\nYC/gsIlKLkXkUOBKYDWQAhT4e1W9R0QWRcc8CVgGvAx8R1WvLti/DVgRXd+ngIXA7cAFqrq94N6d\npapvncl9LMd07l2JYxwG/BBYA/wGeATYDiwvNx/GmNpjVS3GmPnsNeC9UXBWylXA94F1wN7R6z+i\nbSHwGeAI4M/wTQfaSxzjq8AV+FK6tcDfRevzx7u44Hhh0b5nAY34oPFsfED66aL8nR6lOwlYHC0X\nH2cXEdkHuB+oA94DvA34YkGSFD5YPxN4a7TtchFpLTrUCcDx0fnfDxwDfGec01biPk5kOveu2CrA\nAf8X2ARkVPU2Vf3WFPNijKkhVqJqjJnPPgL8ANgsIk8DDwK350tYVbVXRAaAIVXdVLijqn694ONL\nInIh8LiI7KOqrxVsu0JVd3X0EZEd0f6jjocPklzRuudV9ZJo+TkRuRX4Y+DLItIEnA98RFXviI59\nEXDaJNd8EbAT+KCq7ozWbSi4rjeArxRd2x8CHwLaCtaHwLlRFT8i8gngZyKyn6p2Fp6wQvdxIlO6\nd+Mc42F8qfRXgaYSxzPGzEMWqBpj5i1VXSciLcBxwB8BJwO3icgvVPWMifaNqvb/D77UcREjNUwH\n4ktq8347zeyFwO+K1r0GnBgtHwIk8dXUAKhqTkR+iy+xHM/RwH0FQeooIhIAlwBpYF98yWuCgmA2\n8lQ+SI2swwd3fwB0UqYp3MepmOzejaGqG0TkNOAf8aWwZ0VNCK5Q1YenmQ9jTJVZ1b8xZl5T1ayq\nPqCqV6vqn+LbS75fRE4abx8ROQD4OZDBVzEfg2+LCj54LDSTDkWDRZ9DJv/enawkMJwkzWeAzwFf\nw5dAHgV8G98kYCrnmdQU7+NUTfneqep9UTvXq/DB+jbg7qi5hDFmHrJA1Rizu3k2es93ohkEYkVp\njsUHbhdHQe5zTFyKWWgQQERmGug9Hx3r+PyKqDT02En2exQ4UUTqxtl+MvAzVb1RVR9X1ReAwxjb\nBvRtItJY8PmEKM2zlFbp+zjbngEuxDcDeHuV82KMmSar+jfGzFsi0gHcjO/hvRnf8/zLQBe+4xPA\nC0BaRA7Hd7LZAayPtv2DiNyCL3W8vMzTvhi9nyki9wN9RVXoeaXaXe6iqj0i8m/Av4jIZuAl4JPA\n0mh5PN/Ed+j6kYhcEV3TkcB2Vb0HH2ieLSInA68D5+KbRXSVyN+NIvIF/OgA1wC3FbdPLVDp+ziR\nCe9dKSLyJ/jmBz/BB9SL8aWqO4GnKpAnY0wVWImqMWY++zm+R/jt+ADtevxQTSeq6tYozQ34Tlbr\n8AFWWlWfxA8yfyG+5O0z+CCxuNRxTO97VX0MuBq4Dh8IXlOQtjB9qZ7sxes+C9wF3Archw/+fooP\nrkqKOii9CxgC7gSeAC4D8sNGfQn4dXScB/AB29dK5G0dvv3tL/H37xGiIajGyWtF72OJ7VO9d8U2\nAO8EOvBtZn+Ib4bwF6q6cZLzG2NqlAvDyb4/jDHGzIWoOcETwK9U9VOzeJ42CsYt3d1EpcRrVfXe\naufFGDMzVvVvjDFVIiJH4HvxPwDU40smBfjrauZrN2HDUxmzG7BA1RhjqifEB6fXRMtPAaeravHQ\nTLNx3t22Ok1Vvzh5KmPMfGBV/8YYY4wxpiZZZypjjDHGGFOTLFA1xhhjjDE1yQJVY4wxxhhTkyxQ\nNcYYY4wxNckCVWOMMcYYU5P+P72J/emIgwWOAAAAAElFTkSuQmCC\n",
    579       "text/plain": [
    580        "<matplotlib.figure.Figure at 0x7f6582c14910>"
    581       ]
    582      },
    583      "metadata": {},
    584      "output_type": "display_data"
    585     }
    586    ],
    587    "source": [
    588     "ax1 = plt.subplot(2, 1, 1)\n",
    589     "price = {}\n",
    590     "for i in range(len(test_vals)):\n",
    591     "    price[test_vals[i]] = pd.Series({p['sid']: p['price'] for p in perfs_lc[i].transactions.iloc[30]})\n",
    592     "    \n",
    593     "prices = pd.concat(price).unstack()\n",
    594     "prices.plot(ax=ax1)\n",
    595     "#plt.xlabel('Starting capital in $')\n",
    596     "plt.ylabel('% of order filled')\n",
    597     "plt.title('Large cap stocks')\n",
    598     "ax1.set_xticks([])\n",
    599     "\n",
    600     "ax2 = plt.subplot(2, 1, 2)\n",
    601     "price = {}\n",
    602     "for i in range(len(test_vals)):\n",
    603     "    price[test_vals[i]] = pd.DataFrame({p['sid']: {'price': p['price'], 'order amount': p['amount']} for p in perfs_sc[i].transactions.iloc[30]})\n",
    604     "prices = pd.concat(price).unstack()\n",
    605     "prices.plot(ax=ax2, logx=True)\n",
    606     "plt.xlabel('Starting capital in $')\n",
    607     "plt.ylabel('% of order filled')\n",
    608     "plt.title('Small cap stocks')\n",
    609     "#plt.savefig('cap_filled.png')"
    610    ]
    611   },
    612   {
    613    "cell_type": "code",
    614    "execution_count": 166,
    615    "metadata": {
    616     "collapsed": false,
    617     "scrolled": true
    618    },
    619    "outputs": [
    620     {
    621      "data": {
    622       "text/html": [
    623        "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
    624        "<table border=\"1\" class=\"dataframe\">\n",
    625        "  <thead>\n",
    626        "    <tr style=\"text-align: right;\">\n",
    627        "      <th></th>\n",
    628        "      <th>order amount</th>\n",
    629        "      <th>price</th>\n",
    630        "    </tr>\n",
    631        "    <tr>\n",
    632        "      <th>Capital</th>\n",
    633        "      <th></th>\n",
    634        "      <th></th>\n",
    635        "    </tr>\n",
    636        "  </thead>\n",
    637        "  <tbody>\n",
    638        "    <tr>\n",
    639        "      <th>1000    </th>\n",
    640        "      <td>    30</td>\n",
    641        "      <td>  8.010001</td>\n",
    642        "    </tr>\n",
    643        "    <tr>\n",
    644        "      <th>10000   </th>\n",
    645        "      <td>   307</td>\n",
    646        "      <td>  8.010118</td>\n",
    647        "    </tr>\n",
    648        "    <tr>\n",
    649        "      <th>100000  </th>\n",
    650        "      <td>  3075</td>\n",
    651        "      <td>  8.021833</td>\n",
    652        "    </tr>\n",
    653        "    <tr>\n",
    654        "      <th>500000  </th>\n",
    655        "      <td> 15375</td>\n",
    656        "      <td>  8.305833</td>\n",
    657        "    </tr>\n",
    658        "    <tr>\n",
    659        "      <th>1000000 </th>\n",
    660        "      <td> 30750</td>\n",
    661        "      <td>  9.193332</td>\n",
    662        "    </tr>\n",
    663        "    <tr>\n",
    664        "      <th>5000000 </th>\n",
    665        "      <td> 48900</td>\n",
    666        "      <td> 11.002500</td>\n",
    667        "    </tr>\n",
    668        "    <tr>\n",
    669        "      <th>10000000</th>\n",
    670        "      <td> 48900</td>\n",
    671        "      <td> 11.002500</td>\n",
    672        "    </tr>\n",
    673        "  </tbody>\n",
    674        "</table>\n",
    675        "</div>"
    676       ],
    677       "text/plain": [
    678        "          order amount      price\n",
    679        "Capital                          \n",
    680        "1000                30   8.010001\n",
    681        "10000              307   8.010118\n",
    682        "100000            3075   8.021833\n",
    683        "500000           15375   8.305833\n",
    684        "1000000          30750   9.193332\n",
    685        "5000000          48900  11.002500\n",
    686        "10000000         48900  11.002500"
    687       ]
    688      },
    689      "execution_count": 166,
    690      "metadata": {},
    691      "output_type": "execute_result"
    692     }
    693    ],
    694    "source": [
    695     "df = prices['IRBT']\n",
    696     "#df['price'] = ((df['price'] / df.loc[1000, 'price']) - 1)\n",
    697     "df.index.name = 'Capital'\n",
    698     "df"
    699    ]
    700   },
    701   {
    702    "cell_type": "code",
    703    "execution_count": 168,
    704    "metadata": {
    705     "collapsed": false
    706    },
    707    "outputs": [
    708     {
    709      "data": {
    710       "text/plain": [
    711        "[1000.0, 10000.0, 100000.0, 500000.0, 1000000.0, 5000000.0, 10000000.0]"
    712       ]
    713      },
    714      "execution_count": 168,
    715      "metadata": {},
    716      "output_type": "execute_result"
    717     }
    718    ],
    719    "source": [
    720     "test_vals"
    721    ]
    722   },
    723   {
    724    "cell_type": "code",
    725    "execution_count": 172,
    726    "metadata": {
    727     "collapsed": false
    728    },
    729    "outputs": [
    730     {
    731      "data": {
    732       "text/html": [
    733        "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
    734        "<table border=\"1\" class=\"dataframe\">\n",
    735        "  <thead>\n",
    736        "    <tr style=\"text-align: right;\">\n",
    737        "      <th></th>\n",
    738        "      <th>BWLD</th>\n",
    739        "      <th>HMSY</th>\n",
    740        "      <th>IPGP</th>\n",
    741        "      <th>IRBT</th>\n",
    742        "    </tr>\n",
    743        "  </thead>\n",
    744        "  <tbody>\n",
    745        "    <tr>\n",
    746        "      <th>1000    </th>\n",
    747        "      <td> 0.975610</td>\n",
    748        "      <td> 1.000000</td>\n",
    749        "      <td> 0.972763</td>\n",
    750        "      <td> 0.977199</td>\n",
    751        "    </tr>\n",
    752        "    <tr>\n",
    753        "      <th>10000   </th>\n",
    754        "      <td> 1.000000</td>\n",
    755        "      <td> 1.000000</td>\n",
    756        "      <td> 1.000000</td>\n",
    757        "      <td> 1.000000</td>\n",
    758        "    </tr>\n",
    759        "    <tr>\n",
    760        "      <th>100000  </th>\n",
    761        "      <td> 1.010976</td>\n",
    762        "      <td> 1.003478</td>\n",
    763        "      <td> 1.000778</td>\n",
    764        "      <td> 1.001629</td>\n",
    765        "    </tr>\n",
    766        "    <tr>\n",
    767        "      <th>500000  </th>\n",
    768        "      <td> 0.505732</td>\n",
    769        "      <td> 0.501826</td>\n",
    770        "      <td> 0.500389</td>\n",
    771        "      <td> 0.500814</td>\n",
    772        "    </tr>\n",
    773        "    <tr>\n",
    774        "      <th>1000000 </th>\n",
    775        "      <td> 0.101146</td>\n",
    776        "      <td> 0.100365</td>\n",
    777        "      <td> 0.100078</td>\n",
    778        "      <td> 0.100163</td>\n",
    779        "    </tr>\n",
    780        "    <tr>\n",
    781        "      <th>5000000 </th>\n",
    782        "      <td> 0.050577</td>\n",
    783        "      <td> 0.050183</td>\n",
    784        "      <td> 0.030992</td>\n",
    785        "      <td> 0.015928</td>\n",
    786        "    </tr>\n",
    787        "    <tr>\n",
    788        "      <th>10000000</th>\n",
    789        "      <td> 0.010115</td>\n",
    790        "      <td> 0.010037</td>\n",
    791        "      <td> 0.003099</td>\n",
    792        "      <td> 0.001593</td>\n",
    793        "    </tr>\n",
    794        "  </tbody>\n",
    795        "</table>\n",
    796        "</div>"
    797       ],
    798       "text/plain": [
    799        "              BWLD      HMSY      IPGP      IRBT\n",
    800        "1000      0.975610  1.000000  0.972763  0.977199\n",
    801        "10000     1.000000  1.000000  1.000000  1.000000\n",
    802        "100000    1.010976  1.003478  1.000778  1.001629\n",
    803        "500000    0.505732  0.501826  0.500389  0.500814\n",
    804        "1000000   0.101146  0.100365  0.100078  0.100163\n",
    805        "5000000   0.050577  0.050183  0.030992  0.015928\n",
    806        "10000000  0.010115  0.010037  0.003099  0.001593"
    807       ]
    808      },
    809      "execution_count": 172,
    810      "metadata": {},
    811      "output_type": "execute_result"
    812     }
    813    ],
    814    "source": [
    815     "txns"
    816    ]
    817   },
    818   {
    819    "cell_type": "code",
    820    "execution_count": 203,
    821    "metadata": {
    822     "collapsed": false
    823    },
    824    "outputs": [
    825     {
    826      "data": {
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ZfUex2JMnDI8vOQkVS09M/Wz3nriKZduaEbTW8j3zmD/7LwCfa3QsMnyF/AI2mHcHa4zb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\nAABJRU5ErkJggg==\n",
    828       "text/plain": [
    829        "<matplotlib.figure.Figure at 0x7f65819aff90>"
    830       ]
    831      },
    832      "metadata": {},
    833      "output_type": "display_data"
    834     }
    835    ],
    836    "source": [
    837     "plt.figure(figsize=(8, 4))\n",
    838     "# ax1 = plt.subplot(2, 1, 1)\n",
    839     "# txn = {}\n",
    840     "# for i, test_val in enumerate(test_vals):\n",
    841     "#     txn[test_val] = pd.Series({p['sid']: p['amount'] for p in perfs_lc[i].transactions.iloc[30]})\n",
    842     "    \n",
    843     "# txns = pd.concat(txn).unstack()\n",
    844     "# txns /= txns.iloc[0]\n",
    845     "# df = pd.DataFrame((np.asarray(txns).T / (np.asarray(txns.index).T / 1000.)).T, columns=txns.columns, index=txns.index)\n",
    846     "# df /= df.iloc[0]\n",
    847     "# df.plot(ax=ax1, logx=True)\n",
    848     "# #plt.xlabel('Starting capital in $')\n",
    849     "# plt.ylabel('% of order filled')\n",
    850     "# plt.title('Large cap stocks')\n",
    851     "# ax1.set_xticks([])\n",
    852     "\n",
    853     "ax2 = plt.subplot(1, 1, 1)\n",
    854     "txn = {}\n",
    855     "for i in range(len(test_vals)):\n",
    856     "    #factor = 10**i\n",
    857     "    txn[test_vals[i]] = pd.Series({p['sid']: p['amount'] for p in perfs_sc[i].transactions.iloc[30]})\n",
    858     "    \n",
    859     "txns = pd.concat(txn).unstack()\n",
    860     "txns /= txns.iloc[1]\n",
    861     "df = pd.DataFrame((np.asarray(txns).T / (np.asarray(txns.index).T / 1000.)).T, columns=txns.columns, index=txns.index)\n",
    862     "df /= df.iloc[0]\n",
    863     "df.plot(ax=ax2, logx=True)\n",
    864     "plt.xlabel('Starting capital in $')\n",
    865     "plt.ylabel('% of order filled')\n",
    866     "plt.title('Small cap stocks')\n",
    867     "plt.savefig('cap_filled.png')"
    868    ]
    869   },
    870   {
    871    "cell_type": "code",
    872    "execution_count": 194,
    873    "metadata": {
    874     "collapsed": false
    875    },
    876    "outputs": [
    877     {
    878      "data": {
    879       "text/html": [
    880        "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
    881        "<table border=\"1\" class=\"dataframe\">\n",
    882        "  <thead>\n",
    883        "    <tr style=\"text-align: right;\">\n",
    884        "      <th></th>\n",
    885        "      <th>BWLD</th>\n",
    886        "      <th>HMSY</th>\n",
    887        "      <th>IPGP</th>\n",
    888        "      <th>IRBT</th>\n",
    889        "    </tr>\n",
    890        "  </thead>\n",
    891        "  <tbody>\n",
    892        "    <tr>\n",
    893        "      <th>1000    </th>\n",
    894        "      <td> 1.000000</td>\n",
    895        "      <td> 1.000000</td>\n",
    896        "      <td> 1.0000</td>\n",
    897        "      <td> 1.000000</td>\n",
    898        "    </tr>\n",
    899        "    <tr>\n",
    900        "      <th>10000   </th>\n",
    901        "      <td> 1.025000</td>\n",
    902        "      <td> 1.000000</td>\n",
    903        "      <td> 1.0280</td>\n",
    904        "      <td> 1.023333</td>\n",
    905        "    </tr>\n",
    906        "    <tr>\n",
    907        "      <th>100000  </th>\n",
    908        "      <td> 1.036250</td>\n",
    909        "      <td> 1.003478</td>\n",
    910        "      <td> 1.0288</td>\n",
    911        "      <td> 1.025000</td>\n",
    912        "    </tr>\n",
    913        "    <tr>\n",
    914        "      <th>500000  </th>\n",
    915        "      <td> 1.036750</td>\n",
    916        "      <td> 1.003652</td>\n",
    917        "      <td> 1.0288</td>\n",
    918        "      <td> 1.025000</td>\n",
    919        "    </tr>\n",
    920        "    <tr>\n",
    921        "      <th>1000000 </th>\n",
    922        "      <td> 1.036750</td>\n",
    923        "      <td> 1.003652</td>\n",
    924        "      <td> 1.0288</td>\n",
    925        "      <td> 1.025000</td>\n",
    926        "    </tr>\n",
    927        "    <tr>\n",
    928        "      <th>5000000 </th>\n",
    929        "      <td> 1.036825</td>\n",
    930        "      <td> 1.003652</td>\n",
    931        "      <td> 0.6372</td>\n",
    932        "      <td> 0.326000</td>\n",
    933        "    </tr>\n",
    934        "    <tr>\n",
    935        "      <th>10000000</th>\n",
    936        "      <td> 1.036825</td>\n",
    937        "      <td> 1.003652</td>\n",
    938        "      <td> 0.3186</td>\n",
    939        "      <td> 0.163000</td>\n",
    940        "    </tr>\n",
    941        "  </tbody>\n",
    942        "</table>\n",
    943        "</div>"
    944       ],
    945       "text/plain": [
    946        "              BWLD      HMSY    IPGP      IRBT\n",
    947        "1000      1.000000  1.000000  1.0000  1.000000\n",
    948        "10000     1.025000  1.000000  1.0280  1.023333\n",
    949        "100000    1.036250  1.003478  1.0288  1.025000\n",
    950        "500000    1.036750  1.003652  1.0288  1.025000\n",
    951        "1000000   1.036750  1.003652  1.0288  1.025000\n",
    952        "5000000   1.036825  1.003652  0.6372  0.326000\n",
    953        "10000000  1.036825  1.003652  0.3186  0.163000"
    954       ]
    955      },
    956      "execution_count": 194,
    957      "metadata": {},
    958      "output_type": "execute_result"
    959     }
    960    ],
    961    "source": [
    962     "df = pd.DataFrame((np.asarray(txns).T / (np.asarray(txns.index).T / 1000.)).T, columns=txns.columns, index=txns.index)\n",
    963     "df "
    964    ]
    965   },
    966   {
    967    "cell_type": "code",
    968    "execution_count": 131,
    969    "metadata": {
    970     "collapsed": false
    971    },
    972    "outputs": [],
    973    "source": [
    974     "def orders_to_df(perf):\n",
    975     "    def extract_order_info(orders):\n",
    976     "        if len(orders) == 0:\n",
    977     "            return np.nan\n",
    978     "        return {order['sid']: order['amount'] for order in orders}\n",
    979     "\n",
    980     "    orders_tmp = perf.orders.apply(extract_order_info).dropna()\n",
    981     "    orders = pd.DataFrame(orders_tmp.tolist()).fillna(0)\n",
    982     "    orders.index = orders_tmp.index\n",
    983     "    orders.index = orders.index.tz_localize('utc')\n",
    984     "    orders.index = [pd.tslib.normalize_date(idx) for idx in orders.index]\n",
    985     "    \n",
    986     "    return orders"
    987    ]
    988   },
    989   {
    990    "cell_type": "code",
    991    "execution_count": 206,
    992    "metadata": {
    993     "collapsed": false
    994    },
    995    "outputs": [
    996     {
    997      "data": {
    998       "image/png": 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YBfpalrVc1/WzgQmIkvEnYJxlWT/G7T+0c1rHyZtqNndvn9o2nJ7a6daRAx7+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\nAhK8eUvA1OqqBDqaV4iVd1/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dgKnxzLXL3l6/uuaW78jdrVda1TxPdWQvb6bvJsCOpvuG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p+p9vPrxjJ7HWMQDvd+nWzmY+zsVkewg/zbfKbyI/zPYkTKcDoxObBbiAXl/0HkM+d1JJW3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\nxtbE5Pbc0uCKsu4CoxwTsgGNMMyNYdUX8UAuRoymMKH4k1z3ky+M9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orRPm/wFAL631T63crHaFUur/gGeAKmA+0A84Wmv9cas2rI2jlNoNGAH8I6xLYsmOMcSv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\n",
    999       "text/plain": [
   1000        "<matplotlib.figure.Figure at 0x7f65830b4590>"
   1001       ]
   1002      },
   1003      "metadata": {},
   1004      "output_type": "display_data"
   1005     }
   1006    ],
   1007    "source": [
   1008     "ax1 = plt.subplot(2, 1, 1)\n",
   1009     "for val, perf in zip(test_vals, perfs_lc):\n",
   1010     "    df = pd.rolling_mean((orders_to_df(perf) / large_cap.loc[:, :, 'volume']).dropna().abs().max(axis=1), 20)\n",
   1011     "    df.plot(ax=ax1, label=val, logy=True)\n",
   1012     "plt.legend()\n",
   1013     "plt.title('Large cap')\n",
   1014     "plt.ylabel('% of total volume ordered')\n",
   1015     "ax1.set_xticks([])\n",
   1016     "\n",
   1017     "ax2 = plt.subplot(2, 1, 2)\n",
   1018     "for val, perf in zip(test_vals, perfs_sc):\n",
   1019     "    df = pd.rolling_mean((orders_to_df(perf) / small_cap.loc[:, :, 'volume']).dropna().abs().max(axis=1), 20)\n",
   1020     "    df.plot(ax=ax2, label=val, logy=True)\n",
   1021     "plt.title('Small cap')\n",
   1022     "plt.ylabel('% of total volume ordered')\n",
   1023     "plt.tight_layout()\n",
   1024     "plt.savefig('cap_perc_vol.png')"
   1025    ]
   1026   }
   1027  ],
   1028  "metadata": {
   1029   "kernelspec": {
   1030    "display_name": "Python 2",
   1031    "language": "python",
   1032    "name": "python2"
   1033   },
   1034   "language_info": {
   1035    "codemirror_mode": {
   1036     "name": "ipython",
   1037     "version": 2
   1038    },
   1039    "file_extension": ".py",
   1040    "mimetype": "text/x-python",
   1041    "name": "python",
   1042    "nbconvert_exporter": "python",
   1043    "pygments_lexer": "ipython2",
   1044    "version": "2.7.6"
   1045   }
   1046  },
   1047  "nbformat": 4,
   1048  "nbformat_minor": 0
   1049 }