12_gradient_boosting_machines/10_intraday_features.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Intraday Strategy, Part 1: Feature Engineering"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In this notebook, we load the high-quality NASDAQ100 minute-bar trade-and-quote data generously provided by [Algoseek](https://www.algoseek.com/) (available [here](https://www.algoseek.com/ml4t-book-data.html)) and engineer a few illustrative features. \n",
    "\n",
    "The rich set of trade and quote information contained in the Algoseek data offers various opportunities to add inforation, e.g. about relative spreads and demand/supply imbalances, but since the data is fairly large we limit our efforts to a small number of features.\n",
    "\n",
    "> Note that we will assume throughout that we can always buy (sell) at the first (last) trade price for a given bar at no cost and without market impact; this is unlikely to be true in reality but simplifies the example).\n",
    "\n",
    "The next notebook will use this dataset to train a model that predicts 1-minute returns using LightGBM."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Imports & Settings"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-01-20T01:09:03.350026Z",
     "start_time": "2021-01-20T01:09:03.347904Z"
    }
   },
   "outputs": [],
   "source": [
    "import warnings\n",
    "warnings.filterwarnings('ignore')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-01-20T01:09:04.058323Z",
     "start_time": "2021-01-20T01:09:03.351702Z"
    }
   },
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "\n",
    "from pathlib import Path\n",
    "from tqdm import tqdm\n",
    "\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "\n",
    "from scipy.stats import spearmanr\n",
    "import talib\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "from matplotlib.ticker import FuncFormatter\n",
    "import seaborn as sns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-01-20T01:09:04.061160Z",
     "start_time": "2021-01-20T01:09:04.059324Z"
    }
   },
   "outputs": [],
   "source": [
    "sns.set_style('whitegrid')\n",
    "idx = pd.IndexSlice\n",
    "deciles = np.arange(.1, 1, .1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Algoseek Trade & Quote Minute Bar Data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Data Dictionary"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The Quote fields are based on changes to the NBBO ([National Best Bid Offer](https://www.investopedia.com/terms/n/nbbo.asp)) from the top-of-book price and size from\n",
    "each of the exchanges.\n",
    "\n",
    "The enhanced Trade & Quote bar fields include the following fields:\n",
    "- **Field**: Name of Field.\n",
    "- **Q / T**: Field based on Quotes or Trades\n",
    "- **Type**: Field format\n",
    "- **No Value**: Value of field when there is no value or data. \n",
    "  - Note: “Never” means field should always have a value EXCEPT for the first bar of the day.\n",
    "- **Description**: Description of the field.\n",
    "\n",
    "See [docs](https://us-equity-market-data-docs.s3.amazonaws.com/algoseek.US.Equity.TAQ.Minute.Bars.pdf) for additional detail."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "| id  | Field                   | Q/T  | Type                          |  No Value | Description                                                                                                                                                                                                         |\n",
    "|:---:|:------------------------|:----:|:------------------------------|:---------:|:--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n",
    "| 1  | `Date`                   |      | YYYYMMDD                      | Never     | Trade Date                                                                                                                                                                                                          |\n",
    "| 2  | `Ticker`                 |      | String                       | Never      | Ticker Symbol                                                                                                                                                                                                       |\n",
    "| 3  | `TimeBarStart`           |      | HHMM <br>HHMMSS <br>HHMMSSMMM | Never     | For minute bars: HHMM. <br>For second bars: HHMMSS. <br>Examples<br>- One second bar 130302 is from time greater than 130301 to 130302.<br>- One minute bar 1104 is from time greater than 1103 to 1104. |\n",
    "| 4  | `OpenBarTime`            | Q    | HHMMSSMMM                    | Never      | Open Time of the Bar, for example one minute:<br>11:03:00.000                                                                                                                                                       |\n",
    "| 5  | `OpenBidPrice`           | Q    | Number                        | Never     | NBBO Bid Price as of bar Open                                                                                                                                                                                       |\n",
    "| 6  | `OpenBidSize`            | Q    | Number                        | Never     | Total Size from all Exchanges with<br>OpenBidPrice                                                                                                                                                                  |\n",
    "| 7  | `OpenAskPrice`           | Q    | Number                        | Never     | NBBO Ask Price as of bar Open                                                                                                                                                                                       |\n",
    "| 8  | `OpenAskSize`            | Q    | Number                        | Never     | Total Size from all Exchange with<br>OpenAskPrice                                                                                                                                                                   |\n",
    "| 9  | `FirstTradeTime`         | T    | HHMMSSMMM                     | Blank     | Time of first Trade                                                                                                                                                                                                 |\n",
    "| 10 | `FirstTradePrice`        | T    | Number                        | Blank     | Price of first Trade                                                                                                                                                                                                |\n",
    "| 11 | `FirstTradeSize`         | T    | Number                        | Blank     | Number of shares of first trade                                                                                                                                                                                     |\n",
    "| 12 | `HighBidTime`            | Q    | HHMMSSMMM                     | Never     | Time of highest NBBO Bid Price                                                                                                                                                                                      |\n",
    "| 13 | `HighBidPrice`           | Q    | Number                        | Never     | Highest NBBO Bid Price                                                                                                                                                                                              |\n",
    "| 14 | `HighBidSize`            | Q    | Number                        | Never     | Total Size from all Exchanges with HighBidPrice                                                                                                                                                                  |\n",
    "| 15 | `AskPriceAtHighBidPrice` | Q    | Number                        | Never     | Ask Price at time of Highest Bid Price                                                                                                                                                                              |\n",
    "| 16 | `AskSizeAtHighBidPrice`  | Q    | Number                        | Never     | Total Size from all Exchanges with `AskPriceAtHighBidPrice`                                                                                                                                                        |\n",
    "| 17 | `HighTradeTime`          | T    | HHMMSSMMM                     | Blank     | Time of Highest Trade                                                                                                                                                                                               |\n",
    "| 18 | `HighTradePrice`         | T    | Number                        | Blank     | Price of highest Trade                                                                                                                                                                                              |\n",
    "| 19 | `HighTradeSize`          | T    | Number                        | Blank     | Number of shares of highest trade                                                                                                                                                                                   |\n",
    "| 20 | `LowBidTime`             | Q    | HHMMSSMMM                     | Never     | Time of lowest Bid                                                                                                                                                                                                  |\n",
    "| 21 | `LowBidPrice`            | Q    | Number                        | Never     | Lowest NBBO Bid price of bar.                                                                                                                                                                                       |\n",
    "| 22 | `LowBidSize`             | Q    | Number                        | Never     | Total Size from all Exchanges with `LowBidPrice`                                                                                                                                                                   |\n",
    "| 23 | `AskPriceAtLowBidPrice`  | Q    | Number                        | Never     | Ask Price at lowest Bid price                                                                                                                                                                                       |\n",
    "| 24  | `AskSizeAtLowBidPrice`  | Q    | Number                        | Never     | Total Size from all Exchanges with `AskPriceAtLowBidPrice`                                                                                                                                                                                       |\n",
    "| 25  | `LowTradeTime`          | T    | HHMMSSMMM                     | Blank     | Time of lowest Trade                                                                                                                                                                                                                             |\n",
    "| 26  | `LowTradePrice`         | T    | Number                        | Blank     | Price of lowest Trade                                                                                                                                                                                                                            |\n",
    "| 27  | `LowTradeSize`          | T    | Number                        | Blank     | Number of shares of lowest trade                                                                                                                                                                                                                 |\n",
    "| 28  | `CloseBarTime`          | Q    | HHMMSSMMM                     | Never     | Close Time of the Bar, for example one minute: 11:03:59.999                                                                                                                                                                                      |\n",
    "| 29  | `CloseBidPrice`         | Q    | Number                        | Never     | NBBO Bid Price at bar Close                                                                                                                                                                                                                      |\n",
    "| 30  | `CloseBidSize`          | Q    | Number                        | Never     | Total Size from all Exchange with `CloseBidPrice`                                                                                                                                                                                                |\n",
    "| 31  | `CloseAskPrice`         | Q    | Number                        | Never     | NBBO Ask Price at bar Close                                                                                                                                                                                                                      |\n",
    "| 32  | `CloseAskSize`          | Q    | Number                        | Never     | Total Size from all Exchange with `CloseAskPrice`                                                                                                                                                                                                |\n",
    "| 33  | `LastTradeTime`         | T    | HHMMSSMMM                     | Blank     | Time of last Trade                                                                                                                                                                                                                               |\n",
    "| 34  | `LastTradePrice`        | T    | Number                        | Blank     | Price of last Trade                                                                                                                                                                                                                              |\n",
    "| 35  | `LastTradeSize`         | T    | Number                        | Blank     | Number of shares of last trade                                                                                                                                                                                                                   |\n",
    "| 36  | `MinSpread`             | Q    | Number                        | Never     | Minimum Bid-Ask spread size. This may be 0 if the market was crossed during the bar.<br/>If negative spread due to back quote, make it 0.                                                                                                            |\n",
    "| 37  | `MaxSpread`             | Q    | Number                        | Never     | Maximum Bid-Ask spread in bar                                                                                                                                                                                                                    |\n",
    "| 38  | `CancelSize`            | T    | Number                        | 0         | Total shares canceled. Default=blank                                                                                                                                                                                                             |\n",
    "| 39  | `VolumeWeightPrice`     | T    | Number                        | Blank     | Trade Volume weighted average price <br>Sum((`Trade1Shares`*`Price`)+(`Trade2Shares`*`Price`)+…)/`TotalShares`. <br>Note: Blank if no trades.                                                                                                        |\n",
    "| 40  | `NBBOQuoteCount`        | Q    | Number                        | 0         | Number of Bid and Ask NNBO quotes during bar period.                                                                                                                                                                                             |\n",
    "| 41  | `TradeAtBid`            | Q,T  | Number                        | 0         | Sum of trade volume that occurred at or below the bid (a trade reported/printed late can be below current bid).                                                                                                                                  |\n",
    "| 42  | `TradeAtBidMid`         | Q,T  | Number                        | 0         | Sum of trade volume that occurred between the bid and the mid-point:<br/>(Trade Price > NBBO Bid ) & (Trade Price < NBBO Mid )                                                                                                                       |\n",
    "| 43  | `TradeAtMid`            | Q,T  | Number                        | 0         | Sum of trade volume that occurred at mid.<br/>TradePrice = NBBO MidPoint                                                                                                                                                                             |\n",
    "| 44  | `TradeAtMidAsk`         | Q,T  | Number                        | 0         | Sum of ask volume that occurred between the mid and ask:<br/>(Trade Price > NBBO Mid) & (Trade Price < NBBO Ask)                                                                                                                                     |\n",
    "| 45  | `TradeAtAsk`            | Q,T  | Number                        | 0         | Sum of trade volume that occurred at or above the Ask.                                                                                                                                                                                           |\n",
    "| 46  | `TradeAtCrossOrLocked`  | Q,T  | Number                        | 0         | Sum of trade volume for bar when national best bid/offer is locked or crossed. <br>Locked is Bid = Ask <br>Crossed is Bid > Ask                                                                                                                  |\n",
    "| 47  | `Volume`                | T    | Number                        | 0         | Total number of shares traded                                                                                                                                                                                                                    |\n",
    "| 48  | `TotalTrades`           | T    | Number                        | 0         | Total number of trades                                                                                                                                                                                                                           |\n",
    "| 49  | `FinraVolume`           | T    | Number                        | 0         | Number of shares traded that are reported by FINRA. <br/>Trades reported by FINRA are from broker-dealer internalization, dark pools, Over-The-Counter, etc. <br/>FINRA trades represent volume that is hidden or not public available to trade.         |\n",
    "| 50  | `UptickVolume`          | T    | Integer                       | 0         | Total number of shares traded with upticks during bar.<br/>An uptick = ( trade price > last trade price )                                                                                                                                                                                                                               |\n",
    "| 51  | `DowntickVolume`        | T    | Integer                       | 0         | Total number of shares traded with downticks during bar.<br/>A downtick = ( trade price < last trade price )                                                                                                                                                                                                                            |\n",
    "| 52  | `RepeatUptickVolume`    | T    | Integer                       | 0         | Total number of shares where trade price is the same (repeated) and last price change was up during bar. <br/>Repeat uptick = ( trade price == last trade price ) & (last tick direction == up )                                                                                                                                         |\n",
    "| 53  | `RepeatDowntickVolume`  | T    | Integer                       | 0         | Total number of shares where trade price is the same (repeated) and last price change was down during bar. <br/>Repeat downtick = ( trade price == last trade price ) & (last tick direction == down )                                                                                                                                   |\n",
    "| 54  | `UnknownVolume`         | T    | Integer                       | 0         | When the first trade of the day takes place, the tick direction is “unknown” as there is no previous Trade to compare it to.<br/>This field is the volume of the first trade after 4am and acts as an initiation value for the tick volume directions.<br/>In future this bar will be renamed to `UnkownTickDirectionVolume` .  |"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Notes\n",
    "\n",
    "**Empty Fields**\n",
    "\n",
    "An empty field has no value and is “Blank” , for example FirstTradeTime and there are no trades during the bar period. \n",
    "The field `Volume` measuring total number of shares traded in bar will be `0` if there are no Trades (see `No Value` column above for each field).\n",
    "\n",
    "**No Bid/Ask/Trade OHLC**\n",
    "\n",
    "During a bar timeframe there may not be a change in the NBBO or an actual Trade. \n",
    "For example, there can be a bar with OHLC Bid/Ask but no Trade OHLC.\n",
    "\n",
    "**Single Event**\n",
    "\n",
    "For bars with only one trade, one NBBO bid or one NBBO ask then Open/High/Low/Close price,size andtime will be the same.\n",
    "\n",
    "**`AskPriceAtHighBidPrice`, `AskSizeAtHighBidPrice`, `AskPriceAtLowBidPrice`, `AskSizeAtLowBidPrice` Fields** \n",
    "\n",
    "To provide consistent Bid/Ask prices at a point in time while showing the low/high Bid/Ask for the bar, AlgoSeek uses the low/high `Bid` and the corresponding `Ask` at that price.\n",
    "\n",
    "### FAQ\n",
    "\n",
    "**Why are Trade Prices often inside the Bid Price to Ask Price range?**\n",
    "\n",
    "The Low/High Bid/Ask is the low and high NBBO price for the bar range. \n",
    "Very often a Trade may not occur at these prices as the price may only last a few seconds or executions are being crossed at mid-point due to hidden order types that execute at mid-point or as price improvement over current `Bid`/`Ask`.\n",
    "\n",
    "**How to get exchange tradable shares?** \n",
    "\n",
    "To get the exchange tradable volume in a bar subtract `Volume` from `FinraVolume`. \n",
    "- `Volume` is the total number of shares traded. \n",
    "- ``FinraVolume`` is the total number of shares traded that are reported as executions by FINRA. \n",
    "\n",
    "When a trade is done that is off the listed exchanges, it must be reported to FINRA by the brokerage firm or dark pool. Examples include: \n",
    "- internal crosses by broker dealer\n",
    "- over-the-counter block trades, and\n",
    "- dark pool executions."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Data prep"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We use the 'Trade and Quote' dataset - see [documentation](https://www.algoseek.com/old_static/files/documentation/equity_and_etf_etn/AlgoSeek.US.Equity.TradeAndQuotes.OHLC.Bars.1.5.pdf) for details on the definition of the numerous fields."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-01-20T01:09:04.069208Z",
     "start_time": "2021-01-20T01:09:04.062034Z"
    }
   },
   "outputs": [],
   "source": [
    "tcols = ['openbartime', 'firsttradetime',\n",
    "         'highbidtime', 'highasktime', 'hightradetime',\n",
    "         'lowbidtime', 'lowasktime', 'lowtradetime',\n",
    "         'closebartime', 'lasttradetime']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-01-20T01:09:04.078592Z",
     "start_time": "2021-01-20T01:09:04.070175Z"
    }
   },
   "outputs": [],
   "source": [
    "drop_cols = ['unknowntickvolume',\n",
    "             'cancelsize',\n",
    "             'tradeatcrossorlocked']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-01-20T01:09:04.087754Z",
     "start_time": "2021-01-20T01:09:04.083055Z"
    }
   },
   "outputs": [],
   "source": [
    "keep = ['firsttradeprice', 'hightradeprice', 'lowtradeprice', 'lasttradeprice', \n",
    "        'minspread', 'maxspread',\n",
    "        'volumeweightprice', 'nbboquotecount', \n",
    "        'tradeatbid', 'tradeatbidmid', 'tradeatmid', 'tradeatmidask', 'tradeatask', \n",
    "        'volume', 'totaltrades', 'finravolume', \n",
    "        'finravolumeweightprice', \n",
    "        'uptickvolume', 'downtickvolume', \n",
    "        'repeatuptickvolume', 'repeatdowntickvolume', \n",
    "        'tradetomidvolweight', 'tradetomidvolweightrelative']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We will shorten most of the field names to reduce typing:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-01-20T01:09:04.096735Z",
     "start_time": "2021-01-20T01:09:04.090319Z"
    }
   },
   "outputs": [],
   "source": [
    "columns = {'volumeweightprice'          : 'price',\n",
    "           'finravolume'                : 'fvolume',\n",
    "           'finravolumeweightprice'     : 'fprice',\n",
    "           'uptickvolume'               : 'up',\n",
    "           'downtickvolume'             : 'down',\n",
    "           'repeatuptickvolume'         : 'rup',\n",
    "           'repeatdowntickvolume'       : 'rdown',\n",
    "           'firsttradeprice'            : 'first',\n",
    "           'hightradeprice'             : 'high',\n",
    "           'lowtradeprice'              : 'low',\n",
    "           'lasttradeprice'             : 'last',\n",
    "           'nbboquotecount'             : 'nbbo',\n",
    "           'totaltrades'                : 'ntrades',\n",
    "           'openbidprice'               : 'obprice',\n",
    "           'openbidsize'                : 'obsize',\n",
    "           'openaskprice'               : 'oaprice',\n",
    "           'openasksize'                : 'oasize',\n",
    "           'highbidprice'               : 'hbprice',\n",
    "           'highbidsize'                : 'hbsize',\n",
    "           'highaskprice'               : 'haprice',\n",
    "           'highasksize'                : 'hasize',\n",
    "           'lowbidprice'                : 'lbprice',\n",
    "           'lowbidsize'                 : 'lbsize',\n",
    "           'lowaskprice'                : 'laprice',\n",
    "           'lowasksize'                 : 'lasize',\n",
    "           'closebidprice'              : 'cbprice',\n",
    "           'closebidsize'               : 'cbsize',\n",
    "           'closeaskprice'              : 'caprice',\n",
    "           'closeasksize'               : 'casize',\n",
    "           'firsttradesize'             : 'firstsize',\n",
    "           'hightradesize'              : 'highsize',\n",
    "           'lowtradesize'               : 'lowsize',\n",
    "           'lasttradesize'              : 'lastsize',\n",
    "           'tradetomidvolweight'        : 'volweight',\n",
    "           'tradetomidvolweightrelative': 'volweightrel'}"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The Algoseek minute-bar data comes in compressed csv files that contain the data for one symbol and day, organized in three directories for each year (2015-17). The function `extract_and_combine_data` reads the ~80K source files and combines them into a single `hdf5` file for faster access. \n",
    "\n",
    ">The data is fairly large (>8GB), and if you run into memory constraints, please modify the code to process the data in smaller chunks. One options is to iterate over the three directories containing data for a single year only, and storing each year separately."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-01-20T01:09:04.108378Z",
     "start_time": "2021-01-20T01:09:04.098299Z"
    }
   },
   "outputs": [],
   "source": [
    "as_path = Path('../data/nasdaq100')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-01-20T01:09:04.117862Z",
     "start_time": "2021-01-20T01:09:04.109961Z"
    }
   },
   "outputs": [],
   "source": [
    "def extract_and_combine_data():\n",
    "    data = []\n",
    "    # ~80K files to process\n",
    "    for i, f in tqdm(enumerate(list((as_path / '1min_taq').glob('*/**/*.csv.gz')))):\n",
    "        data.append(pd.read_csv(f, parse_dates=[['Date', 'TimeBarStart']])\n",
    "                    .rename(columns=str.lower)\n",
    "                    .drop(tcols + drop_cols, axis=1)\n",
    "                    .rename(columns=columns)\n",
    "                    .set_index('date_time')\n",
    "                    .sort_index()\n",
    "                    .between_time('9:30', '16:00')\n",
    "                    .set_index('ticker', append=True)\n",
    "                    .swaplevel()\n",
    "                    .rename(columns=lambda x: x.replace('tradeat', 'at')))\n",
    "    data = pd.concat(data).apply(pd.to_numeric, downcast='integer')\n",
    "    print(data.info(show_counts=True))\n",
    "    data.to_hdf(as_path / 'algoseek.h5', 'min_taq')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-01-20T01:09:04.133889Z",
     "start_time": "2021-01-20T01:09:04.119663Z"
    }
   },
   "outputs": [],
   "source": [
    "# extract_and_combine_data()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Loading Algoseek Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-01-20T01:09:04.149080Z",
     "start_time": "2021-01-20T01:09:04.135021Z"
    }
   },
   "outputs": [],
   "source": [
    "ohlcv_cols = ['first', 'high', 'low', 'last', 'price', 'volume']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-01-20T01:09:04.166497Z",
     "start_time": "2021-01-20T01:09:04.150181Z"
    }
   },
   "outputs": [],
   "source": [
    "data_cols = ohlcv_cols + ['up', 'down', 'rup', 'rdown', 'atask', 'atbid']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-01-20T01:09:29.663196Z",
     "start_time": "2021-01-20T01:09:04.167601Z"
    }
   },
   "outputs": [],
   "source": [
    "with pd.HDFStore(as_path / 'algoseek.h5') as store:\n",
    "    df = store['min_taq'].loc[:, data_cols].sort_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-01-20T01:09:39.537432Z",
     "start_time": "2021-01-20T01:09:29.664613Z"
    }
   },
   "outputs": [],
   "source": [
    "df['date'] = pd.to_datetime(df.index.get_level_values('date_time').date)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We persist the reduced dataset:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-01-20T01:09:41.400003Z",
     "start_time": "2021-01-20T01:09:39.561620Z"
    }
   },
   "outputs": [],
   "source": [
    "df.to_hdf('data/algoseek.h5', 'data')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-01-20T01:09:47.759859Z",
     "start_time": "2021-01-20T01:09:41.401432Z"
    }
   },
   "outputs": [],
   "source": [
    "df = pd.read_hdf('data/algoseek.h5', 'data')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-01-20T01:09:48.545400Z",
     "start_time": "2021-01-20T01:09:47.760872Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "MultiIndex: 31355463 entries, ('AAL', Timestamp('2015-01-02 09:30:00')) to ('YHOO', Timestamp('2017-06-16 16:00:00'))\n",
      "Data columns (total 13 columns):\n",
      " #   Column  Non-Null Count     Dtype         \n",
      "---  ------  --------------     -----         \n",
      " 0   first   30955838 non-null  float64       \n",
      " 1   high    30955838 non-null  float64       \n",
      " 2   low     30955838 non-null  float64       \n",
      " 3   last    30955838 non-null  float64       \n",
      " 4   price   30386944 non-null  float64       \n",
      " 5   volume  31355463 non-null  int32         \n",
      " 6   up      31355463 non-null  int32         \n",
      " 7   down    31355463 non-null  int32         \n",
      " 8   rup     31355463 non-null  int32         \n",
      " 9   rdown   31355463 non-null  int32         \n",
      " 10  atask   31355463 non-null  int32         \n",
      " 11  atbid   31355463 non-null  int32         \n",
      " 12  date    31355463 non-null  datetime64[ns]\n",
      "dtypes: datetime64[ns](1), float64(5), int32(7)\n",
      "memory usage: 2.4+ GB\n"
     ]
    }
   ],
   "source": [
    "df.info(null_counts=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Feature Engineering"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "All of the features above were normalized in a standard fashion\n",
    "by subtracting their means, dividing by their standard deviations, and time-averaging over a recent\n",
    "interval. In order to obtain a finite state space, features were discretized into bins in multiples of\n",
    "standard deviation units"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We will compute feature per ticker or ticker and date:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-01-20T01:09:58.642570Z",
     "start_time": "2021-01-20T01:09:48.546430Z"
    }
   },
   "outputs": [],
   "source": [
    "by_ticker = df.sort_index().groupby('ticker', group_keys=False)\n",
    "by_ticker_date = df.sort_index().groupby(['ticker', 'date'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Create empty `DataFrame` with original ticker/timestamp index to hold our features:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-01-20T01:09:58.645884Z",
     "start_time": "2021-01-20T01:09:58.643530Z"
    }
   },
   "outputs": [],
   "source": [
    "data = pd.DataFrame(index=df.index)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-01-20T01:09:58.930687Z",
     "start_time": "2021-01-20T01:09:58.647120Z"
    }
   },
   "outputs": [],
   "source": [
    "data['date'] = pd.factorize(df['date'], sort=True)[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-01-20T01:11:02.174348Z",
     "start_time": "2021-01-20T01:09:58.931900Z"
    }
   },
   "outputs": [],
   "source": [
    "data['minute'] = pd.to_timedelta(data.index.get_level_values('date_time').time.astype(str))\n",
    "data.minute = (data.minute.dt.seconds.sub(data.minute.dt.seconds.min()).div(60).astype(int))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Lagged Returns"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We create lagged returns with respect to first and last price per bar for each the past 10 minutes:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-01-20T01:11:02.304471Z",
     "start_time": "2021-01-20T01:11:02.175299Z"
    }
   },
   "outputs": [],
   "source": [
    "data[f'ret1min'] = df['last'].div(df['first']).sub(1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "1-min returns have rather heavy tails:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-01-20T01:11:03.715747Z",
     "start_time": "2021-01-20T01:11:02.305522Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.kdeplot(data.ret1min.sample(n=100000));"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-01-20T01:11:05.023016Z",
     "start_time": "2021-01-20T01:11:03.716935Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "mean     -0.000%\n",
       "std       0.086%\n",
       "min     -12.448%\n",
       "10%      -0.075%\n",
       "20%      -0.041%\n",
       "30%      -0.023%\n",
       "40%      -0.009%\n",
       "50%       0.000%\n",
       "60%       0.009%\n",
       "70%       0.022%\n",
       "80%       0.040%\n",
       "90%       0.074%\n",
       "max      13.392%\n",
       "Name: ret1min, dtype: object"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.ret1min.describe(percentiles=np.arange(.1, 1, .1)).iloc[1:].apply(lambda x: f'{x:.3%}')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-01-20T01:11:05.509529Z",
     "start_time": "2021-01-20T01:11:05.024093Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Skew: 0.63 | Kurtosis: 399.53\n"
     ]
    }
   ],
   "source": [
    "print(f'Skew: {data.ret1min.skew():.2f} | Kurtosis: {data.ret1min.kurtosis():.2f}')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Intra-bar price moves with the highest returns:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-01-20T01:11:09.688204Z",
     "start_time": "2021-01-20T01:11:05.510441Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>date</th>\n",
       "      <th>minute</th>\n",
       "      <th>ret1min</th>\n",
       "      <th>first</th>\n",
       "      <th>last</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ticker</th>\n",
       "      <th>date_time</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>TSCO</th>\n",
       "      <th>2016-12-22 10:01:00</th>\n",
       "      <td>498</td>\n",
       "      <td>31</td>\n",
       "      <td>0.133921</td>\n",
       "      <td>68.1000</td>\n",
       "      <td>77.2200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AMGN</th>\n",
       "      <th>2017-03-06 15:46:00</th>\n",
       "      <td>546</td>\n",
       "      <td>376</td>\n",
       "      <td>0.132842</td>\n",
       "      <td>158.7600</td>\n",
       "      <td>179.8500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>LILA</th>\n",
       "      <th>2015-07-02 09:39:00</th>\n",
       "      <td>125</td>\n",
       "      <td>9</td>\n",
       "      <td>0.121998</td>\n",
       "      <td>50.0001</td>\n",
       "      <td>56.1000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BIDU</th>\n",
       "      <th>2015-08-24 09:32:00</th>\n",
       "      <td>161</td>\n",
       "      <td>2</td>\n",
       "      <td>0.119729</td>\n",
       "      <td>111.2300</td>\n",
       "      <td>124.5475</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NXPI</th>\n",
       "      <th>2016-09-29 13:10:00</th>\n",
       "      <td>439</td>\n",
       "      <td>220</td>\n",
       "      <td>0.119144</td>\n",
       "      <td>81.7500</td>\n",
       "      <td>91.4900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>HSIC</th>\n",
       "      <th>2015-10-26 15:38:00</th>\n",
       "      <td>205</td>\n",
       "      <td>368</td>\n",
       "      <td>0.105501</td>\n",
       "      <td>135.0700</td>\n",
       "      <td>149.3200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CELG</th>\n",
       "      <th>2015-08-24 09:35:00</th>\n",
       "      <td>161</td>\n",
       "      <td>5</td>\n",
       "      <td>0.100645</td>\n",
       "      <td>93.0000</td>\n",
       "      <td>102.3600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>LILAK</th>\n",
       "      <th>2015-07-02 09:38:00</th>\n",
       "      <td>125</td>\n",
       "      <td>8</td>\n",
       "      <td>0.098778</td>\n",
       "      <td>50.0101</td>\n",
       "      <td>54.9500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CTRP</th>\n",
       "      <th>2017-12-11 10:51:00</th>\n",
       "      <td>741</td>\n",
       "      <td>81</td>\n",
       "      <td>0.097899</td>\n",
       "      <td>43.3100</td>\n",
       "      <td>47.5500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>LMCK</th>\n",
       "      <th>2016-02-23 09:30:00</th>\n",
       "      <td>286</td>\n",
       "      <td>0</td>\n",
       "      <td>0.095641</td>\n",
       "      <td>30.7400</td>\n",
       "      <td>33.6800</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                            date  minute   ret1min     first      last\n",
       "ticker date_time                                                      \n",
       "TSCO   2016-12-22 10:01:00   498      31  0.133921   68.1000   77.2200\n",
       "AMGN   2017-03-06 15:46:00   546     376  0.132842  158.7600  179.8500\n",
       "LILA   2015-07-02 09:39:00   125       9  0.121998   50.0001   56.1000\n",
       "BIDU   2015-08-24 09:32:00   161       2  0.119729  111.2300  124.5475\n",
       "NXPI   2016-09-29 13:10:00   439     220  0.119144   81.7500   91.4900\n",
       "HSIC   2015-10-26 15:38:00   205     368  0.105501  135.0700  149.3200\n",
       "CELG   2015-08-24 09:35:00   161       5  0.100645   93.0000  102.3600\n",
       "LILAK  2015-07-02 09:38:00   125       8  0.098778   50.0101   54.9500\n",
       "CTRP   2017-12-11 10:51:00   741      81  0.097899   43.3100   47.5500\n",
       "LMCK   2016-02-23 09:30:00   286       0  0.095641   30.7400   33.6800"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.join(df[['first', 'last']]).nlargest(10, columns=['ret1min'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We compute similarly for the remaining periods:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-01-20T01:11:29.888488Z",
     "start_time": "2021-01-20T01:11:09.689224Z"
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 9/9 [00:20<00:00,  2.24s/it]\n"
     ]
    }
   ],
   "source": [
    "for t in tqdm(range(2, 11)):\n",
    "    data[f'ret{t}min'] = df['last'].div(by_ticker_date['first'].shift(t-1)).sub(1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Forward Returns"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We obtain our 1-min forward return target by shifting the one-period return by one minute into the past (which implies the assumption that we always enter and exit a position at those prices, also ignoring trading cost and potential market impact):"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-01-20T01:11:38.252695Z",
     "start_time": "2021-01-20T01:11:29.889828Z"
    }
   },
   "outputs": [],
   "source": [
    "data['fwd1min'] = (data\n",
    "                   .sort_index()\n",
    "                   .groupby(['ticker', 'date'])\n",
    "                   .ret1min\n",
    "                   .shift(-1))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-01-20T01:11:40.237588Z",
     "start_time": "2021-01-20T01:11:38.253634Z"
    }
   },
   "outputs": [],
   "source": [
    "data = data.dropna(subset=['fwd1min'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-01-20T01:11:41.059317Z",
     "start_time": "2021-01-20T01:11:40.238638Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "MultiIndex: 30875649 entries, ('AAL', Timestamp('2015-01-02 09:30:00')) to ('YHOO', Timestamp('2017-06-16 15:59:00'))\n",
      "Data columns (total 13 columns):\n",
      " #   Column    Non-Null Count     Dtype  \n",
      "---  ------    --------------     -----  \n",
      " 0   date      30875649 non-null  int64  \n",
      " 1   minute    30875649 non-null  int64  \n",
      " 2   ret1min   30612848 non-null  float64\n",
      " 3   ret2min   30302846 non-null  float64\n",
      " 4   ret3min   30220887 non-null  float64\n",
      " 5   ret4min   30141503 non-null  float64\n",
      " 6   ret5min   30063236 non-null  float64\n",
      " 7   ret6min   29983969 non-null  float64\n",
      " 8   ret7min   29903822 non-null  float64\n",
      " 9   ret8min   29824607 non-null  float64\n",
      " 10  ret9min   29745431 non-null  float64\n",
      " 11  ret10min  29666821 non-null  float64\n",
      " 12  fwd1min   30875649 non-null  float64\n",
      "dtypes: float64(11), int64(2)\n",
      "memory usage: 3.2+ GB\n"
     ]
    }
   ],
   "source": [
    "data.info(null_counts=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Normalized up/downtick volume"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-01-20T01:14:31.900039Z",
     "start_time": "2021-01-20T01:11:41.060317Z"
    }
   },
   "outputs": [],
   "source": [
    "for f in ['up', 'down', 'rup', 'rdown']:\n",
    "    data[f] = df.loc[:, f].div(df.volume).replace(np.inf, np.nan)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-01-20T01:14:40.991354Z",
     "start_time": "2021-01-20T01:14:31.900947Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>rup</th>\n",
       "      <th>up</th>\n",
       "      <th>rdown</th>\n",
       "      <th>down</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>3.008378e+07</td>\n",
       "      <td>3.008378e+07</td>\n",
       "      <td>3.008378e+07</td>\n",
       "      <td>3.008378e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>5.115708e-01</td>\n",
       "      <td>7.005788e-01</td>\n",
       "      <td>5.133731e-01</td>\n",
       "      <td>7.195690e-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>1.574588e+01</td>\n",
       "      <td>3.330319e+01</td>\n",
       "      <td>1.715537e+01</td>\n",
       "      <td>3.393822e+01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10%</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>6.575102e-02</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>6.686489e-02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20%</th>\n",
       "      <td>9.647853e-02</td>\n",
       "      <td>1.111111e-01</td>\n",
       "      <td>9.905957e-02</td>\n",
       "      <td>1.129661e-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30%</th>\n",
       "      <td>1.980198e-01</td>\n",
       "      <td>1.521226e-01</td>\n",
       "      <td>2.012931e-01</td>\n",
       "      <td>1.546516e-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40%</th>\n",
       "      <td>2.859422e-01</td>\n",
       "      <td>1.957295e-01</td>\n",
       "      <td>2.914713e-01</td>\n",
       "      <td>1.992032e-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>3.702796e-01</td>\n",
       "      <td>2.457865e-01</td>\n",
       "      <td>3.758913e-01</td>\n",
       "      <td>2.500000e-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60%</th>\n",
       "      <td>4.582528e-01</td>\n",
       "      <td>3.063010e-01</td>\n",
       "      <td>4.637681e-01</td>\n",
       "      <td>3.122179e-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>70%</th>\n",
       "      <td>5.554740e-01</td>\n",
       "      <td>3.860160e-01</td>\n",
       "      <td>5.598733e-01</td>\n",
       "      <td>3.939394e-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80%</th>\n",
       "      <td>6.797847e-01</td>\n",
       "      <td>5.042373e-01</td>\n",
       "      <td>6.824063e-01</td>\n",
       "      <td>5.152091e-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>90%</th>\n",
       "      <td>8.663207e-01</td>\n",
       "      <td>7.783313e-01</td>\n",
       "      <td>8.666443e-01</td>\n",
       "      <td>7.998253e-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>4.860000e+04</td>\n",
       "      <td>9.947025e+04</td>\n",
       "      <td>6.020700e+04</td>\n",
       "      <td>1.051000e+05</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                rup            up         rdown          down\n",
       "count  3.008378e+07  3.008378e+07  3.008378e+07  3.008378e+07\n",
       "mean   5.115708e-01  7.005788e-01  5.133731e-01  7.195690e-01\n",
       "std    1.574588e+01  3.330319e+01  1.715537e+01  3.393822e+01\n",
       "min    0.000000e+00  0.000000e+00  0.000000e+00  0.000000e+00\n",
       "10%    0.000000e+00  6.575102e-02  0.000000e+00  6.686489e-02\n",
       "20%    9.647853e-02  1.111111e-01  9.905957e-02  1.129661e-01\n",
       "30%    1.980198e-01  1.521226e-01  2.012931e-01  1.546516e-01\n",
       "40%    2.859422e-01  1.957295e-01  2.914713e-01  1.992032e-01\n",
       "50%    3.702796e-01  2.457865e-01  3.758913e-01  2.500000e-01\n",
       "60%    4.582528e-01  3.063010e-01  4.637681e-01  3.122179e-01\n",
       "70%    5.554740e-01  3.860160e-01  5.598733e-01  3.939394e-01\n",
       "80%    6.797847e-01  5.042373e-01  6.824063e-01  5.152091e-01\n",
       "90%    8.663207e-01  7.783313e-01  8.666443e-01  7.998253e-01\n",
       "max    4.860000e+04  9.947025e+04  6.020700e+04  1.051000e+05"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.loc[:, ['rup', 'up', 'rdown', 'down']].describe(deciles)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Balance of Power"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-01-20T01:15:08.659752Z",
     "start_time": "2021-01-20T01:14:40.992286Z"
    }
   },
   "outputs": [],
   "source": [
    "data['BOP'] = (by_ticker.apply(lambda x: talib.BOP(x['first'],\n",
    "                                                   x.high,\n",
    "                                                   x.low,\n",
    "                                                   x['last'])))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "###  Commodity Channel Index"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-01-20T01:15:40.860709Z",
     "start_time": "2021-01-20T01:15:08.661044Z"
    }
   },
   "outputs": [],
   "source": [
    "data['CCI'] = (by_ticker.apply(lambda x: talib.CCI(x.high,\n",
    "                                          x.low,\n",
    "                                          x['last'],\n",
    "                                          timeperiod=14)))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Money Flow Index"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-01-20T01:16:13.276922Z",
     "start_time": "2021-01-20T01:15:40.861641Z"
    }
   },
   "outputs": [],
   "source": [
    "data['MFI'] = (by_ticker.apply(lambda x: talib.MFI(x.high,\n",
    "                                          x.low,\n",
    "                                          x['last'],\n",
    "                                          x.volume,\n",
    "                                          timeperiod=14)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-01-20T01:16:20.871800Z",
     "start_time": "2021-01-20T01:16:13.278140Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>BOP</th>\n",
       "      <th>CCI</th>\n",
       "      <th>MFI</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>3.061285e+07</td>\n",
       "      <td>2.851777e+07</td>\n",
       "      <td>3.087372e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>-2.087998e-03</td>\n",
       "      <td>3.296217e-01</td>\n",
       "      <td>4.997376e+01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>6.266554e-01</td>\n",
       "      <td>1.088812e+02</td>\n",
       "      <td>1.969084e+01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>-1.000000e+00</td>\n",
       "      <td>-4.666667e+02</td>\n",
       "      <td>-1.116565e-06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10%</th>\n",
       "      <td>-9.000000e-01</td>\n",
       "      <td>-1.376036e+02</td>\n",
       "      <td>2.396008e+01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20%</th>\n",
       "      <td>-6.633333e-01</td>\n",
       "      <td>-9.977407e+01</td>\n",
       "      <td>3.241035e+01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30%</th>\n",
       "      <td>-4.500000e-01</td>\n",
       "      <td>-6.911730e+01</td>\n",
       "      <td>3.886505e+01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40%</th>\n",
       "      <td>-1.818182e-01</td>\n",
       "      <td>-3.690746e+01</td>\n",
       "      <td>4.454481e+01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>7.306860e-01</td>\n",
       "      <td>4.992163e+01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60%</th>\n",
       "      <td>1.672241e-01</td>\n",
       "      <td>3.807433e+01</td>\n",
       "      <td>5.531387e+01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>70%</th>\n",
       "      <td>4.438265e-01</td>\n",
       "      <td>6.977712e+01</td>\n",
       "      <td>6.102497e+01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80%</th>\n",
       "      <td>6.551724e-01</td>\n",
       "      <td>9.999456e+01</td>\n",
       "      <td>6.754293e+01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>90%</th>\n",
       "      <td>9.000000e-01</td>\n",
       "      <td>1.376381e+02</td>\n",
       "      <td>7.610819e+01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>4.666667e+02</td>\n",
       "      <td>1.000000e+02</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                BOP           CCI           MFI\n",
       "count  3.061285e+07  2.851777e+07  3.087372e+07\n",
       "mean  -2.087998e-03  3.296217e-01  4.997376e+01\n",
       "std    6.266554e-01  1.088812e+02  1.969084e+01\n",
       "min   -1.000000e+00 -4.666667e+02 -1.116565e-06\n",
       "10%   -9.000000e-01 -1.376036e+02  2.396008e+01\n",
       "20%   -6.633333e-01 -9.977407e+01  3.241035e+01\n",
       "30%   -4.500000e-01 -6.911730e+01  3.886505e+01\n",
       "40%   -1.818182e-01 -3.690746e+01  4.454481e+01\n",
       "50%    0.000000e+00  7.306860e-01  4.992163e+01\n",
       "60%    1.672241e-01  3.807433e+01  5.531387e+01\n",
       "70%    4.438265e-01  6.977712e+01  6.102497e+01\n",
       "80%    6.551724e-01  9.999456e+01  6.754293e+01\n",
       "90%    9.000000e-01  1.376381e+02  7.610819e+01\n",
       "max    1.000000e+00  4.666667e+02  1.000000e+02"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data[['BOP', 'CCI', 'MFI']].describe(deciles)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Stochastic RSI"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-01-20T01:16:53.792314Z",
     "start_time": "2021-01-20T01:16:20.872801Z"
    }
   },
   "outputs": [],
   "source": [
    "data['STOCHRSI'] = (by_ticker.apply(lambda x: talib.STOCHRSI(x['last'].ffill(),\n",
    "                                                             timeperiod=14,\n",
    "                                                             fastk_period=14,\n",
    "                                                             fastd_period=3,\n",
    "                                                             fastd_matype=0)[0]))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Stochastic Oscillator"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-01-20T01:16:53.796959Z",
     "start_time": "2021-01-20T01:16:53.793216Z"
    }
   },
   "outputs": [],
   "source": [
    "def compute_stoch(x, fastk_period=14, slowk_period=3, slowk_matype=0, slowd_period=3, slowd_matype=0):\n",
    "    slowk, slowd = talib.STOCH(x.high.ffill(), x.low.ffill(), x['last'].ffill(), \n",
    "                               fastk_period=fastk_period,\n",
    "                               slowk_period=slowk_period,\n",
    "                               slowk_matype=slowk_matype,\n",
    "                               slowd_period=slowd_period,\n",
    "                               slowd_matype=slowd_matype)\n",
    "    return pd.DataFrame({'slowd': slowd, \n",
    "                         'slowk': slowk}, \n",
    "                        index=x.index)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-01-20T01:18:47.548905Z",
     "start_time": "2021-01-20T01:16:53.798363Z"
    }
   },
   "outputs": [],
   "source": [
    "data = data.join(by_ticker.apply(compute_stoch))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Average True Range"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-01-20T01:19:19.579945Z",
     "start_time": "2021-01-20T01:18:47.549900Z"
    }
   },
   "outputs": [],
   "source": [
    "data['NATR'] = by_ticker.apply(lambda x: talib.NATR(x.high.ffill(), \n",
    "                                                    x.low.ffill(), \n",
    "                                                    x['last'].ffill()))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Transaction Volume by price point"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-01-20T01:19:38.071315Z",
     "start_time": "2021-01-20T01:19:19.580885Z"
    }
   },
   "outputs": [],
   "source": [
    "data['trades_bid_ask'] = df.atask.sub(df.atbid).div(df.volume).replace((np.inf, -np.inf), np.nan)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-01-20T01:19:38.123711Z",
     "start_time": "2021-01-20T01:19:38.072197Z"
    }
   },
   "outputs": [],
   "source": [
    "del df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-01-20T01:19:39.129372Z",
     "start_time": "2021-01-20T01:19:38.124661Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "MultiIndex: 30875649 entries, ('AAL', Timestamp('2015-01-02 09:30:00')) to ('YHOO', Timestamp('2017-06-16 15:59:00'))\n",
      "Data columns (total 25 columns):\n",
      " #   Column          Non-Null Count     Dtype  \n",
      "---  ------          --------------     -----  \n",
      " 0   date            30875649 non-null  int64  \n",
      " 1   minute          30875649 non-null  int64  \n",
      " 2   ret1min         30612848 non-null  float64\n",
      " 3   ret2min         30302846 non-null  float64\n",
      " 4   ret3min         30220887 non-null  float64\n",
      " 5   ret4min         30141503 non-null  float64\n",
      " 6   ret5min         30063236 non-null  float64\n",
      " 7   ret6min         29983969 non-null  float64\n",
      " 8   ret7min         29903822 non-null  float64\n",
      " 9   ret8min         29824607 non-null  float64\n",
      " 10  ret9min         29745431 non-null  float64\n",
      " 11  ret10min        29666821 non-null  float64\n",
      " 12  fwd1min         30875649 non-null  float64\n",
      " 13  up              30083777 non-null  float64\n",
      " 14  down            30083777 non-null  float64\n",
      " 15  rup             30083777 non-null  float64\n",
      " 16  rdown           30083777 non-null  float64\n",
      " 17  BOP             30612848 non-null  float64\n",
      " 18  CCI             28517773 non-null  float64\n",
      " 19  MFI             30873719 non-null  float64\n",
      " 20  STOCHRSI        30871639 non-null  float64\n",
      " 21  slowd           30873302 non-null  float64\n",
      " 22  slowk           30873302 non-null  float64\n",
      " 23  NATR            30873719 non-null  float64\n",
      " 24  trades_bid_ask  30083777 non-null  float64\n",
      "dtypes: float64(23), int64(2)\n",
      "memory usage: 6.9+ GB\n"
     ]
    }
   ],
   "source": [
    "data.info(show_counts=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Evaluate features"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-01-20T01:33:21.260575Z",
     "start_time": "2021-01-20T01:33:21.254077Z"
    }
   },
   "outputs": [],
   "source": [
    "features = ['ret1min', 'ret2min', 'ret3min', 'ret4min', 'ret5min', \n",
    "            'ret6min', 'ret7min', 'ret8min', 'ret9min', 'ret10min',\n",
    "            'rup', 'up', 'down', 'rdown', 'BOP', 'CCI', 'MFI', 'STOCHRSI', \n",
    "            'slowk', 'slowd', 'trades_bid_ask']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "sample = data.sample(n=100000)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-01-20T01:36:43.324658Z",
     "start_time": "2021-01-20T01:36:33.616959Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 2160x864 with 21 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axes = plt.subplots(nrows=3, ncols=7, figsize=(30, 12))\n",
    "axes = axes.flatten()\n",
    "\n",
    "for i, feature in enumerate(features):\n",
    "    sns.distplot(sample[feature], ax=axes[i])\n",
    "    axes[i].set_title(feature.upper())\n",
    "    \n",
    "sns.despine()\n",
    "fig.tight_layout()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-01-20T01:19:47.292886Z",
     "start_time": "2021-01-20T01:19:39.133687Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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fzjZuI/lZDaVw7/N04jkWxNL17Ct2o/G9RGObgP61KxKxHq2f19kazPHC6YrmzziW+9do/lzPFOM2fEymWHSYkjt+yNvTm2iLwUi2R4xdfibhRWN/G02fDxCZ9kRj7A5lW/qKy5H6ufQl0m2J9HghIvdqL7HqbLRHTWwAkY+PYNHUnqGK3aF6z9Ecl9Fw3aOhDQNhuK5F9NfpjmFj4T2diVh8X8Gxy+cRtiNW2hELsRso0p9XsGhrDxCdbRposRa3A20kXOPh+h6jPXaj4XOPdBsi/frR0oZgvT2nDWR7z+aeiJbPje2InnZE41qEaMj3z8XQuoQo2to0pOtIQ9Tnng3H0eqoGMNEy+fBdviFi91ItytQtLQl2tsx1M8p0TBeUBJN12nCqOSI97vR9HmwHdETu9G8diuK9LViO+T6sw4cbfNlokh/dsHYnr6pI/XCaWlpqK2tlf67rq4OaWlpIX+npqYGAODxeGCz2ZCUlAQAqK2txerVq7Fp0yZkZQ2/BY5IGp9iwebl02HU+cPDqFNj8/LpGJ9iiXDLiE4f45lGCsY6DTXGHEWbcDFpEewRbhnR2RmfYsEjiwvY31JU4TiAYgVjlaIR45JGAsb58MFrSbGKsUuxiHFLsYqxSyTHe4JocPDeooFmFuyMKaJhjN8b0YfXhKIVY5MGA+OKBkrETvicOnUqTpw4gZMnTyItLQ1vv/02Hn/8cdnfmTdvHl599VXMmDEDf//733HeeedBpVKhvb0dq1atwo9+9COcc845EXoHw5darcL8wjGYvGYO6m0OpMYZMT7FArVaFemmEZ02xjONFIx1GmrBMacXnJieM4YxRxETrh88dKg10k0jOitqtQpT4px4h9/xFEU49qRYwVilaMS4pJGAcT58BF7L47XNmDAmmdeSYgJjl2IR45ZiFWOXSI7PQ0SDg/cWDTTB62VMEQ1j/N6IPrwmFK0YmzQYOF9GAyViCZ9arRb33HMPbr75Zni9XixZsgR5eXl48sknUVRUhNLSUixduhS33347Lr30UiQkJOCJJ54AAPzxj39EZWUlfvGLX+AXv/gFAOC3v/0tUlJSIvV2hh21WoWc0VbkjLZGuilEZ43xTCMFY52GWmDMlZWVQa3OiHSTaIRjP0jDleD1MrYp6rDPpVjBWKVoxLikkYBxPnyI19LZeBI5o7Mi3RyifmPsUixi3FKsYuwSyfF5iGhw8N6igcaYIhreeI9HH14TilaMTRoMnC+jgRCxhE8AuOiii3DRRRfJfrZ27Vrp/zcYDHjqqadC/t33vvc9fO973xv09hERERERERERERERERERERERERERERERERERERENBXWkG0BEREREREREREREREREREREREREREREREREREQ00jHhk4iIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiCjCmPBJREREREREREREREREREREREREREREREREREREFGHa/vylL774AtXV1fB6vdLPFi9ePFhtIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIhpR+kz4vP3223Hy5ElMnjwZGo0GAKBSqZjwSURERERERERERERERERERERERERERERERERERDRA+kz43LdvH9555x2oVKqhaA9FOUHw4USTHXXtDqTFG6HuTgImioTAeDTq4iEIPqjV7Kso9rGvpVjAOKVoJ8boKbcFhoYOjE+xcJxAMSG4fx2fYol0k4jCUopX9rUUjdi3UjRh30nkx7nd2MHna4pVjF2KRYxbilWMXaLBw3kEGqkY+zRcca9NbGPfRBRb2OdSrON8S2zj9aOB0GfCZ15eHhoaGpCamjoU7aEoJgg+bNtfi3Uv7YbDLcCoU+OnVxWh/UQTUiwGdkI0pJTicdMS4BtF6dBq1ZFuHtEZC9fXTvQIjG2KGh6PgLf31eCOV/ZIcfrI4gLkcXMmRQFB8KGy2Y4vKlux/tW9UoxuXj4d8wvHMEYpqimNAzYvn46JBk46U/RRiteHr5qKmVmJXCihqMK+laJJb31nVjITkWnkUO6b1Xxmi0Lhvkd5rSjaMXYpFjFuKVYxdokGz0i9v7gpdng6nSSpkRr7dPaiPRlPKba51yZ2sG+KLdHeH4wUkRzXsc+lwTbY/Qy/d2Ibrx8NlD4zR1paWvCNb3wDK1euxC233CL9H408J5rsUqcDAA63gLte3Yd/HmrEFU99iG37ayEIvgi3kkYKpXi845U9+G95E+OQYlq4vpaxTdFCEHz4b3mTlOwJ+OP0ztcO4ESTPcKto5FOfFD+25fVUrIn4I/RdS/tZoxS1DveGDoOWPfSbnRqrBFuGVEopXHr+lf34m9fVqPMZuDYlaIG+1aKJr31ndv21zJhnkaMcH3z8UY+s0UbXiuKVYxdikWMW4pVjF2iwaM0jzDc17vEtb4rnvoQK/+8l/vRhonA63rtrz/p87qOxNins3e6cRYJSrHNvTaxg31T7IiF/mAkiPS4jn0uDaah6Gf4vRPbOF9GA6XPhM9bb70Vv/jFL/Cd73wH3/72t6X/o5Gnrt0hdToih1uASuX/303byrC3uhUfHWtEeUMHB8c0qMLF466KZmkwIwg+lDd0MCYppjC2KdqdaLJjV0WzYpzW2xyynzFWaaiJEx2CD2FjlHFJ0ayi2a4Yu41dPsYuRZ1w41bBh5CFEsYvRVK4vvWU3cd4pCHXW9+57qXdsKt5yicNT8FjgcowfXNlMxc5o02471FeK4p2jF2KRYxbilWMXaLBE24eIXhNdjgZqE3NnJOOLqd7XcPF/uE6G68nhdWfOAvsGxy6+CGPpZHYrw8nvH6xYyiTpMR+5ZTbMiK/o3obc0U6WY337MgzlM8AQxHfjOHYxvkyGijavv7C7Nmzh6IdFAPS4o0w6tSyzseoU8PnA9ITjFhRkoUVWz7mscM0JMLFo1cA6m0OjE+x8ChsikmMbYp2de0OCD4oxmlqnFH6b7GKEWOVhlLgRIdSjI62GhmXFNUseq1i7FqNOsYuRZ3e5gjESeac0VaOCSjiwvWtB2o68KOX9zAeacgIgg8er6/XvrOlyxvBFhINDqWxwLP/e47ivWDW97lkRUPMagjzjGLgtaLoxtilWMS4pVjF2CUaPOHmYAPXZIeb3jY154y29ut3cE46+pzudQ0X+3ur2/GDrbt5PUlRX3Gm3DeohzSWRmK/Ppzw+sWOgRhP9MdIH3P09f6H6jqEw3t2ZBnq+3Eo4psxHNs4X0YDJewJn9deey0AYMaMGZg5c6b0f+J/08gzPsWCzcunw6jzh41Rp8Ztl02C1aDBD0rz4PR4kWTWA+Cx0TT4xqdYsGlJsSweNywoQIJRA5NOi8pmHmVOsWl8igU/C4rtH16Sj7f2VCM1zhjxykdEafFGvPlVNdbMy5PF6U+vKsL4FItUKemfh+txqLadYwMaUuJExyufV4XE6Obl06HVAAdr23HznBysnpeLJLOecUkRFVxdbkyCAWtL5bG7tjQPRq2K3/8UdbKSzCHPZGvm5eFvX1TJJpk5fqWzdbaVONPiQ/tWMVYZjyNLpE92ONFkx92v7w0Zp25YUCD1nUkmzZC2iWignG4V73vf2IcNCwpCxr1p8YaItJ/CM+s1uP3rk2TX6vavT4JJz/6Kohtjl2IR45ZiFWOXaPAo7dN6+KqpUKswbE+PEtf6AgXON/dnfodz0kOnv/NtfV3XYEqx39853UjPAVLk9BVn0dA3KK2tPbK4AONTLIP+2rw3zkzg6Y1qFUL6ps3Lpw/J9RsKwylGTvd750xFQ78SSX29/6G6DkoEwQe1Cnj4qqlh+9zhFPM09PfjUMS30ph48/LpyEoyK8YuYzq6cL6MBkrYFOG//OUvAIAvv/xyyBpD0U+vVWHV3BwIPkCtAlKsevz8g8OoaOqSJlde+LgCNW2OIa3EQSOPWq3CN4rSkWTWY09VK3JGW7FpW1l3LB7Bw1dNRZJZj5q2nqPLGZMUK8wGjayvNXVvAB2fYsEnx5siWvmIaHyKBXfMn4JN28qw8sIcaNRASXYy0jXtABBSKYljAxpK4kTHupd244WPK7Bqbg5yR1tQODYR2clmvLHnFLbsLA+JT8YlRUK46nIFY+Nk44C8NCuabZGtfEgUTBB8eK+sDpvfPySNB6aMicev/nkULZ0u2UJJpCt3UmwbiEqcWckW5KVZsWpuDjISTahs7pLGpwDjcaSIhirLde0OVDT542/lhTlQqQCfD7A53GjpdGHz8umwCLYhaQvRQDqTKt4VTV0YHWcIGfdmJQ+PzVHDidsrINmsl12rZLMebq/Q9z8miiDGLsUixi3FKsYu0eBRq1WYXzgGk26dg7Ladhyus+HRvx+S5hGG4+lRgWt9gc+YYuHh/szvcE56aKg1mn7Pt/V2XRV/d3fsT14zB4frbNhb3d6vOd1omAOkyOkrziLdNyitrYl7bQY7PnlvnBmlz+2Z62bg7VvnoKHDgdQ4I8anWIbFZzjcYuR0v3fOVKT7lUjr6/0P1XUIFhjPSd3PqvlpcZgyJh6e1lNQq1XDLuZp6O/HoYjvwDHx8dpmTBiTjKwkM94rqwt53cumpCn+nDEdOZwvo4HSrzNh29raUFNTA6/XK/2ssLBw0BpF0elEkx2r//xlyNHCKy/MwS/+cRQOt4CndhyR/pvHRtNg02rVuDB3FBJMWqzY8rGsMsf6V/di1dwcPLX9qPT3GZMUC8L1tW/fOgdqtUqqDBP854xtGirSg+SYONTbeiYwDx1qVKyUxLEBDaXAiQ4xPt0tpzAxNRPlDR1Y/+rekPhcNTeHcUkREa663Nu3zsG4JIusj/2q/BS//ymqBMbvL/7hf+Yy6tT4w02zMTrOAHfLKWnSmONXOhvh+srJa+b0e2FGrVZh3qQ05IyyoqHDiXvf2M94HIEGIpbOltgf1rQ5QvrOd9bM6X6uah2SthANpL7ur3BjgYmjrMgdbUW9zQG94MT0nDQuOkchrwDcFfAsDfiv3x9XnhvBVhH1jbFLsYhxS7GKsUs0uNRqFVQq4LaXv5LdZ0M9rzFUlDY1i8k05Q0d/Zrf4Zz00LCrLf2eb1Naw+0rSUqtVkm/5wdbd/frekbDHCBFTl9xFum+Idza2p+/WTykrw3w3ugvpc9t9Z+/xDtr5uC8nFERbt3AGm4xcibfO2ci0v1KpPX1/nsb1w2mwHiuaXPgqe3+PYvvrJkDoTsPZrjFPA39/ThU/Yw4JnY2nkTO6Kywz0RbV53HmI4ynC+jgdJnwufPf/5zvPrqqxg3bhxUKn8npFKp8Pzzzw964yi6BFc/SE8w4vpzs5CdYsHT185AdWsn/vDfCqhUPcdGD3YlDhpZBMGHE0121LU7kBZvlOLL4RZw85wcAMArn1dJp8jlp8UhO8WEBcUZ0KiBWdn+6hZE0SQ4rpvsTumkD6Anphs6HJiYeuaVj5TuH26iG9nOJibEB8ngh8FwlZL6OzZgnBJw9nEQHJ9ljf7JunDxmZ8WN6BjVsYx9TcGwsVkQ4cD5+WMkvWxZsE+ZJUPGcMj1+lc+3Dx64MPOaOtUt8LDF0FVcbu8DRQlTjF8UGkKsn2RRB86NLF46NjjYzfQRINVZbDxd+s8cmDdr3ZN9JQONMq3hNGWaT+uaysDGp1xqC0j/fB2WnscCI/1Yqb505El9MDs0GLX+88hsYOZ6SbRtQrxi7FIsYtxSrGLtHgC/fcVREFzzqD8cwVvKlZfJ0Gm1Nxb1Dw/E60zgEONy2d3l7nAwJjIz3BCK8A1NtOP05O53r2NUfBOYLhobfrGG4vCxD5viFcfLZ0ecP8i1BnGsNDNT8+3O6xgfjcYuUziYY1lIEW2B8M1nWIdL8ykAI/I7NeC5fXixSLodfPqj/vX2lcN9h6i+eEfvydWI35/gi+F9QaTaSbNGD6ez+eSX8Q7t/0Nu4YLOFiV3w2Cv55rMd0rHyPKuF8GQ2UPhM+3333Xbz//vvQ6/VD0R6KYqlx/uoHSWY9bjw/GwkmHR5464D0xbi2NA/fvSgHhWMTcPWMjJjqVCn6CYIP2/bXygZjz1w3Ay6PD+te2o0ksx7LSjKx7tJ81NsceGnXSRSmx2PdpZNwxyt7eEQ5RaXguM5OMWFNaT6e+3e5FLNr5uVh665KxcpHgZVhAKC8oUNxYKt0//BeGNkGKybCVUqakztKNjYIl8DPOKXB7K/CxeeUMfEAwveh0dJ+ig2nEwOnU11O8HoHpDJcXxNhjOGR63Sv/enE71BUNuyt/RTbBroSZ6QqyfamJ345dzGYoqHK8lBVehXxe52GyulU8R6K2A/E++DsZaeYcP152fjxX7+SPsP7ryxEdrIp0k0j6hVjl2IR45ZiFWOXaPCFe+768mSrdGLR2TzrnOnG76F65lJ6nTXz8vDCxxVo6XSFzO9E8jl0JEk2a8LOBwReM3Gf4ZPbj5xRnPR3j4xao+l1joJzBMPD2VzH4FjSC05Mzzn963+miQfh4jPJNPh97lDMjw/He0zcLx38uY229u9zi6XPJBrWUAbLYFyHwH5gUloctq2dg2M10bHueCbCjbW27qrEHfOnhP2sonXM1Vs8O53+92vWa7CmNBeCr6eQyHCJ+XCUrvMjiwuQJ/gifs0GQn/i8Uz6A7VGM2R9eX/GGOHiOz3BNOz68VjfB8T5Mhoo6r7+Qn5+Pmw221C0haKcRg2sv3wybjw/G11ur5TsCfirADy5/Qga7S7oNKqoGLRRdBMEH8obOvDRsUaUN3RAEHy9/v0TTfaQ48b3VLVJk4M3nJeNLTvLcftf9+DpHUdx67w8eAWflOwp/pt1L+3GiSb7oL8/GhqnG0fRJjiuFxRn4CcBR7g73AKe2nEE9y8sVKx8FHj617b9tbjiqQ9x7a8/wRVPfYht+2ulz0Pp/uG9MPiiOT4HKybESklGnX+IGXhiTc5oq5TsqRSvxxsZp5EULfE6mP1VuPjMTjb32odGS/spNpxODISLyXDVHoO//89k8bGvWGcMj1yne+2HOn4Huv0UO0431vpDjMexWvugxOPpYvwOjcGIpTMx2P1hIMYWDZX+3F9DGfuBeB+cvS6XgHvf2C/7DO99Yz+6gipFE0Ubxi7FIsYtxSrGLtHgU3ruWluah5d3VQE4u2cdpbWDMpuhX+tkQ/XMpfQ6T+04gmUlmX2e2hMtiQfDkVmwh50PCLxmV8/MlJI9gZ442Vvd2u+16f7skSmzGZCVZO5XmwLbwTmC2CEIPuytbj2r6xgYSyZ3+6Cst4YTbg7NIvSv7WcTw0MxPz4c7zGNGlhbmhfy/avpc9e9X7jP5HijPSr25wSKljWUwTDQsRncD3zj6Q9xoMaGTIMjKtYdz0S4sdaC4ow+YzZSc/+96S2exeS9FVs+xlPbj+I3H5bjhvOykZ1iGjYxH47Sdb7ztQMx3U8H6ysez6Q/sKstA96HKN1P/R1jhIvvwvT4YdePx/rYgvNlNFD6POFz1apVWLx4MfLz86HT6aSfP/vss4PaMIo+DR1OjI4z4uGXduPmOTmKRz8LPuCDg/WoanVEZSUaig5nUiUj8Bjy9AQjrp6ZiYwEkzQ5+NQO+eTg3a/twy+vn6kYp7F+RDn5xVIVrHDEuBZjesIos3Lf6nH1Wrkl3MB28po5yBltld0/gb+X98Lgifb47E9MnE5VQkHwoUsXj0+ONyEzyYQ/rTwX7Q43spItmDCqf/HKPjtyoile+9tf9eeUQvHPTfoEnGjsQE2bAwXpcXj71jlo6OhZ4O2rDx2M9tPwpTRmVan8z1JKpxyL1R5r+9h0oNZozvoU2v7EOmN45DqT/re3+B2ImB2o9icM2qvSUOitEueZVtGWfvcQx2k47HuHxlBWGT6b2BzIuGRs0VDpb9Xk3u6LweqTeR+cvbp2p+JnWGdzRqhFRP3D2KVYxLilWMXYJRp8wc9dKqjwg627UdPmkP7OmaynAeE3fhdnpfT53HS6z1xnOmcS7nVmjEvERfmpZ31qD50ZwesNOx8QeM1UKihev+0H66UTap+5bgYmpFhRb+s9NsQYarA5w8Ztf9oU2I7e5gjOdg6aBo54bx+sbR/SuZ7gGPD5cMZ7C8LNoR061NqvtoSL4Yome5+xORTz46dzj8XKvVXT5sC7e2vws6XT0OXywKzX4tc7j2FGViLGj+o73sJ9Jgfr2vGjl76Kqu+paD2pcSAM9BxxuH0Xz90wE7qGjqj+3MLde+E+I/E7vKy2Hbe9HF0x25ve4lkpee+pHUfwx5XnYnpmYtS+p/7qrX8dqeslgZ+JWqVCklnf53NUoJZO74B9br09q/R3/2JwfI+JN8IrAJ9VNPd7D1qk9XccEOv7gDhfRgOlz4TPO++8E//v//0/5OfnQ63uZ2kSGnYEwYdTrQ6cbO6UOh+lo58teg2yk804WNuOjEQTpmYkROWXBUVW8MAkyazHwdp2GHVqjE+x9HoMuXia51M7juD2yybBqFNLDxaBm+oBIM6gHXZHlFOPgUzQOVtnOhGVFm9EdooJK0qysHVXJe6cP0UxZjU6A17fXY2XdlVBr1Vh46Kp0GlU0mv19TAm3j+8F4bOUMbnmcRfXzHRn4Uw8XWb7E6canVIJyobdWqsmZeHrbsqccf8KZgwytKvB2cL++yIiWR/Ghy/6Ql991fh4vOyKWmobOlUjMm1pXl4/qMKtHS6QmJZqQ9NMuvRYHOeUb/OOB45lPpfpTGrwy3gNx+WS3H6XlmdYv8KQLE/FwQfymwGPPH6p1hQnAGNGpiVnYzzc1Kg1fb/Gb0/k7eM4dgSHINqjeaM/+3Z9L8F6XHS97pYHbDMZsCdL3w4ZIs+vcWuk3OlUed0x69iJc7gzWr92bgV7rXEvnUo4zQc9r1DRymWgp3tRpPTeZYa7LhkbNFgCRfD4e6vvsYQqXFGlHeZ8MNB6JN5H5y9eKPyfE2coc/lRaKIYuxSLGLcUqxi7BKdnjOdewh87ipv6EBLp0v25/2dzw1ej+hyn/kG5tQ45Weu0dbQZ66zScQM92yX3c8E1v6se8ZK8lG0CTcfELheNiktTvH6ebv/Mz/VCrfHh9e/qobgA978qhp3zJ8ixUbgtfF4fbj79b1YOC2j17jtrU39nSNg8nDkKN2P4r1985wcxes4Jt444MXElGLgsaXTzjjpEujfHHU44WL4y5Ot6HILfcbm2bz22bQv+B6LpXsrPcGIy6em4/H3Dkrr9N+9OBfpCf2bWwz3majRs2/qTPfnDNT3ltLvGW6JXwM9Rxxu38VHJ1rxmxe+iNp47u3eC/cZGbVqrCnNhd3pwc1zcvDK51WoaXP0GbOBcZWe4E9GO+W2wDCECbHh+rxwyXs7jzSg3uaMymvXX331ryNxvUT8TDZtK5P68XsWFuBX/ziKPdXtAEL3zAb3iclmTdjP7XT74t6eVU4nIVeM7/Eplpj5ThWdzjgg1vcBcb6MBkqfEWM0GnHjjTcORVsoCgVWxtr8/iHcfUUBjDo1Xvm8Cmvm5UkbmI06NdZdmo+0eAPWdVfy2LKzHA9fNRXnZCdiXBInwqhH8MlHgZvhw315i8eQH6xtx1M7jiDJrEf2KDPWlubB4fZKSXOBv6dgTBweXzYdP3q5Z2Dw8FVToVb5Y5sxGduipeLM2UxEjU+xYOOiqVj1wi6svDAHj2wrC+lbNywowJ1/24uWThd+csUUaDVqrHphl/Tnm5YUIzPRpDgwNOk0+OhYI8YmGrFpSbEs+Wnz8unShnwaeEMVn2caf2KfGvzvxJjoayEs8HVXXpiD5/5dHlL56tGl0/Dbfx9DVrIJh+s6sP7VvSHJd2JyiFGnRlqcIaRNm5YUo8nuhM3hgcvrRYrFwMW1QRCp/jRc/D5z3Qys/vOXYfsrpfjctK0Mbq+AO17ZoxiTT24/gp8tnYbDdTYcqm1H4dg4eAX/ezfr5Q/X6QlG3Hh+Nr75u09lsTg20dhnDPZ1b9Hw0VviceCYNbgf3brqPMX+ddKtc3Cozqb4+/bXtKG+w41Vcydi41sHpD//6VVTkZls6nffGG4ibLS1ZwE0PcHIGI5igZPFqXFGHG/qkPWXjywuQF4/nnMGsv9d99JurJqbI1Xh3rx8OrKSTShvdoQs+hSsnQPBh0HZMNNb/3uocUBeggbIQC3k92fjVl8VMu987QCSzHpcf24WRlsNEHw+HKhpQ0H60BYv4/gheqg1mrOOz9N5lgoXl+K/TTLrUdVsx0fljXB6BGQnWzBhVP/7TsYWDYYz6cf7M4ZYW5qHJLMeAHDj+dkQBB+2H6xDzijracV9MN4HZy/epMO9Cwtx/5v7pc/w3oWFSDDpIt00ol4xdikWMW4pVjF2ifpvoObG+vOsE+5ZrGDtHByo6VmPWFuae8YbvzVqYG1pHp7c3rO/YW1pHjQKtSrPpgDt6Tzb1bU7kGTWS8XirQYNPF4fDtfZpN8V/Fl7PALe3lcTsp9CLDY71AkKw8H4FAueuW4GjtR14LH3Dobsg1kzLw8vfFyB9AQjVszOwg8Dru2aeXnYtK0MU8bEAQA+r2zF3a/tlf25Wq18UEVvcasUR73tIRuKoslMNA4Vrp8cHaeHwy0o7ll95roZsn6tt7418DM36uJ73T+oFANH6m1nnHSpdL0BoEsXj4+ONfYZA0oxLN5Leq0KGYlGdLq8A5rwejrx2d++OpoOeOiLVwBe/KwyZE/qpiXF/doPPT7FErJfb828PDyyrQxXz8zEL/5xFMDp78/pbS0DUC4yrSSakm8Huj8MTjgcyDnicPsuJqXF4eY5Odi0rQyTx8RFXTz3du8p3b8/vCQfSWYtqlodONnSBY0KuGVuDp7dWY6aNkevJ7qLcZVk1uPG87NlY8VNS4rxjaL00ypuPpDCJe95BWDTtrIB60sHIqYHMplQTA4Mvs6PLC4YNusl4QpGbNpWFtKPb1hQgIYdR6WDI8anWML2iXlmh2IfkpVkPu0C1b2dMHomCbmRLnZzJr/ndNoc6/uAOF9GA6XPhM+SkhI8/vjjmDdvHvR6vfTzwsLCQW0YDb6+OtrAyga3XTYZ6y7Jh9WowX0LC3Hfm/vxwscVWDU3B7mjrTBqNfCpgLUvfinrhNe/uhdPLJ+OI/UdmDcpbcRPSpBf4MDk6pmZUgKnOOF6qLYdBelxGD8q9BhysQLcXVdMQVOHCxaDBnmpVkzLTMT3/vyFfBDw8lf4zTdLsHFRAVRQo7KlE7//z3GcaEpFfmocpqTHn9WGIYqsaKk4EzgAFU+Z7e8px2q1CjqNCg63AJUKqGjqwgsfV2D1xbkYbTXAbNBCr1VjtNV/fySZ9bjtr1/J4vyOV/Zg9cW5IQspDy4uwpoXv4TL48ON52fjxc8qsfriXKTGGTAmwYhxSeah+ohGpKGKzzN9aFOrVbhsShq2rjoPNW0OpCeYUJge3+uJh4ETjOLrJpn1mDwmDt/7Wi4mjLKgurUTHU6vP7mjtRNLZmbhvQN12LIzNPkucGOnP3HZjKxki1SxyO31YcPre1HR1CU9aL/6RRm+feHEqK5CFIsi1Z9WNttxsLYdN8/JAQC88nkV1r20G2/fOgfvrJmDeps/oSl4jKoUnwuKM6RJ8jijBisvzJFO/BaTjY7W2/DMjqPITjFhYqoVR+s7IPiAeIMGDy4uwt2v7YPDLWBZSabUnwI9fe3Plk7Dh0caez1ZURyvTO6l/TQ89Pb9f9mUtJB7CvDHklilM/jnlc3+ScbA2N20rQxWg1YqDLH5A3lc3vXqXjy6dBr+faQRUzMTZM9bgacw6zVqdLq8YRcygpMGn7luBt5afSFOtnTCrNciLd4w+B8o9UlpcllMjBDj6s7XDqA4K6XPxaPg8UOSWY+Dte2YnpmIravOh9vrRbJCInG48YHgg+w+EHw+/PNgPb42ORXrLs1Hvc2Bv++rxReVrbICEA9fNRUzsxKRlXz2/WRv/a9ao5ElNXsFSBPm7KOHXn8TNftaGOhPwYpwsW7UqWHRa3H+hGQsn5WFstp2nGztwptfVeOaWVmobXcM6RyWGL9jvlkMl9qA0VYjNGrgk+NNjNMhZldbzjo++/ssFfga4gJyTVtPsjwA/LA0F3EmPT453gzBB9z/5n7Z6QZ9GayxKTeijWy9bRgOV9ihtzEE4O+fu9xerLs0H4kmHWrauqT5r+wUEzYumgqdRtVrvIWLSz6jnb1OlwevfF6Jny2dhi6XB2a9Fn/4bzlyRk2OdNOIesXYpVjEuKVYxdilkU7pBKNw84+Ba6y97Y/pD71WhVVzcyD4ALXK/9+BghMfAf+aWV27U/Zc99KuqtC9BosK+1VIvabNgec/qpDWNnw+4PmPKjAjK1F6P+Lnc7jO1ud8Xjin82wnFnZ9cvsRKcngmX8cVUzkFIsr1tm6pHVGsV3rXtqNLTeUyIpxR/tpOYMt+NlbrdH0+jw+IcUqrT+98LE/TjRqYG7eaPzo5d2oaXPg+xfnSsVOgZ7i0mtL87CrogUnWzpD9ho8teMIVl+cG5L0JyYs9Namy6ak4cX/dx5OtnRCBRW27DyGJ7e7Fecews1nNNv9xwkNxAb5aEm0iibh5p62rjoPRp0aNW0OWTyVTk5FvFGHV3dXh+w7CN43E5jcnWTWY1lJJqrtNZiSHo/sZLPUL4jXVSkGXtpVhYevmipb7xKTLls6XWH36iidMDYrOxkCBNzz+iHZz/rai5By02x8eLQRPh/wwscVAIAVJVlYseXjAYul/sSn0r3Wn746Wg546I96mwMLijNCCj3f8coeTM1I6FcyTeD+FfGa1bQ5pO9m4PT354Rbywgu6tBXLIS73ybdOgcTRlmGbB3gTPtD8TMOLsyg9PsGcg+EUgLShgUFqG7thEYF3HxhDprszqiL577uPfH+rWt3wKzTwOMT8OnxFul7WNyfIO5DFQ8iCUxgP9Fkx4kmOw7VtkvjUKX9V0lmPS7MHTVkCWaBzIJdMXl+276aAetLw8XghBQr6m3+gwnafHG9FhQ5k/si3DWua+/pXwvS4/CHm2aj0+VBVrIFntZTw2LcEe7zSosz4HsX5eJUW5dUdPTqmZmoa3dg8/JpGBNvRHb3NShv6FDsE//8zWLF77e+9o0D/r2RwftklA5KEX/n6San9/c7ta/i8mcS62fad4drc0Uva3yTbp2DymZ7zO1h43wZDZQ+Ez4PHDgAANi9e7f0M5VKheeff37QGkWDrz8dbWBlg8feO4gVJVnY/MFhfPuCCdKkIQDYnW6kJxrRYHPKvrjEh5KTzXZ0uLzIGRV6PDqNTIEDE5XKv6kn+JTP7BSLbOOvOOBQwX+k+iPvlkmJbKv/8iW+97VcxUFAbZt/4PKvw43QqtX47tdy8ci2MimBaCA3GdPQipYK/eIAtDgjHitmZ0mT0Vt2lvdrACsmWgGQ/letUuHe7qoe2SkmfP9rebjnjX24eU6OYpw7PP4qdusuyUNuahwcHgGdTjeumZWFZLMep9q6kGDUQa1S4Z439p/1Qyn1baji83QmQoMXG3ub5AuXADgm3oijdTYcqrPhB5fkQatW4/buTZjiBMibX1XjxvOzkT3KirUvfhkSt+I4IS81Ds9cNwMnmzux+f1D0GnUmF84Rmr3FU99KBtX1LU7sLZ0Ep7cfigqK6HFskj0p4LgwxeVrbKJQXECrbHDCcHnC5mYE2O4y+3F2tJcvLSrSpr8GGXRYfXFuRiXZIJbAH7+gXyBZeuuSni7w/CaWVmobumSvfb6yyfj+W/PxolGO0x6rRSzgeNatQr458F6AEBLlwuF6QmKhSPUahVyRnPcO9yJ/W/wafXi939WsglrSnMh+HqSjo06NdITTFIBEzG2NCog2awPqSi3Zl4ejtX7N0CoVFDs7w/V2fCbD8uxtjQPE0dZ4etum8frw5PbD2He5DEhFW7fvnUOGjr8k3gaNfDKF/IF0I1vHcC6SyeFVLLmmCGylBbcntx+BCsvzDnt6q+B44fgGBav98ys5H71v/7EOY3sd2SnmHDL3Fzc/1bPuHPDggI8uf2wrP3rX92Lx5ZOw77q9pBiPEpJy30t2Cj1v4LgQ5nNgDtf+FCxgihje2ANRKJmfxcGwo1XVfAvxgRvxgiOdfE5K7hy/IufVeL2yyajosmOCX3cS8ELIxq1f5PbmSwuqtUqmNztmD5pMjf5RFBLp/es47Ov2Ay+B9ITjLhudrZsAfmHl+TDpFPD7UNIjP7238f6rC6sdC8O5KkDjNGRTakfTzLrQxasAzfQqlUqxfvC50PIfJq42J2fasXlU9MRb9L1urlWEHyKC+aBf4/PaGfH4fZiYXEGjtbbIPj8zy8LizPgcHsj3TSiXjF2KRYxbilWMXZpJOvrBKPgZxgxCTPc/pj+OtFklzboiow6Nd4JSDQKTHwMfN5yeeXzH2LS5gvfno06mxOH62x4/P0j0mk3vT3zp8UbZYmmqu7EUzFpJfiggb4K0ColFIrEZztxc/Unx5tg1mvh8nqh12jg8nqRYjFABUjvWSnJYN1Lu/G7b83CnX/bg4qmLmSnmPDDSyYpzgntqWoN+bfReALdUFCaE3rkqgKcPFQXdrN4va1nDqGmzSGtZZyfk4I75k+R9owpffbjksx49L2DuHVenuKfp8Ub0WR34rGl06DXqpEWb4DZ1QwAvZ56915ZnezP7po/GW7BJ5t7EPeRjVGY58tOMaG61YH/fe7Ts54bi6VTDodSuDWETpdX2tNQ0+bAc//2r8kWpifgjT2nQvYdvPBxBdq7XPjqZItUBN3l9UqJRsH98IOLi/D0jiPSfsLNy6ejID1OigFx34BGDeSnWfGHoKRLcd0s3DpdZbMdFU12rL44D1UtnXhpVxW27CzHQ1cV4brZ2Xjig8NSWzYtKcbC4rGKMaVWqzA6zoDffNiTCP39i3NDEhKVYqmvNY1AfcVnuHniy6akwecDOl1eNNicUKsQsv/T4/WF3Y9U3tARVacqp8X7P6f+7ssSBX4+N8/JwXP/Lg95v+Jb6+/+nMDrJwhaWeKSuE+7weY8rX4l3P12tMGGg7U2/Ojl3bK4HJtoRIpC0eCzdSZFBntbqzjeGPr7+rMHor+JhIGFKI41dAA+4HhjBzqcXmhUgM/ng17puPMI6+swgMCx1rb9tRAEX8g46sntR/C7b5VglDUvJDFSr1XJxgRr5uXBI/gUY6y2rQv/PFyP8SkWZCWFJtwP5qm0gteL+YVjkLHqPGw/WA+v4O/HxYOLBuJ7Wako8ZG6jpDPZ8Pbn4Yt9BpcKCbO6C+08a/D9f5nB4XPLTVO+RoDgMvlxQeH6kM+u4mxkzvXq3D9SOCBJHfNnwyHR5C+c7fsLMemJcXI7u5/w/WJLV1exXWmJrsTKy/MQZxRgzijLmTfuF6rwp6qtj4PSnnmuhnw+YDPK5uhVqHXoj7B+nPIR3+Kywd/x/enLzzdQt/i2CPcmuGROhtcXh9GxxlQ1dKJcUlm6docqgvd5zzRoAlpU7ThfBkNlD4TPl944YWhaAcNsf50tHXtPRVqVl6YI/3vT7cdlCYqM5PM6HJ54PH6UNXciewUk+LR1xq1Oiqr8FBkBD70NHT4H+6DB8vrX92L6eMSMT7FguONdpTVtONIvQ0v7apCS6cLa+blwWrQwO7y4v6FhchK6dlUD/g3q7d0utDc4YQgQHFip6bNgfWv7sWquTmYPCaem9NiTLRU6E+LN/o3tX8t94wmY8VEq03byrBmXh60aqDD5ZUSL1KtejTZndi4qAhp8Qasv3wSfvdfeYUXX3fcewRIJ92KA/Ofb+9ZjOFk8dAZqvjs78mMwQ9ua0pzQx4mA+NBKQHwmetmYP+pngm9O+ZPwgsfn5CdSFvT2olrZmXhye1H8MTy6XC4BZh0atkkePDE+Zp5eXB5fLLXD5dIJY4rmqOwElosi0R/eqLJLm3GBXqqsT6xfDq++bvQBTIgdHFOrHiVkWhAvFmPTX/fi5UX9kyWi4suDo8XD181FVVNdjx97QzEm7T4zgufy1774XcP4lfXz8Q9b+zHzXNypIS84Pi7d0Ehnt15VLbQw/HDyCT2v+EmfQMn58Sk4zvmT0FhejyeuW4GjtR1yDZZzMhKkp16H2fUIDPRDK1Ghdu/ng+NOvwmeXFCsCA9Ht/54+ey/nLLzmOytq3+85d4Z80cnJczCoLgw2u7q0PGySoVFCtZc8wQWeEml8+k+mvg+KGvhYtwk7/Pf+SvVLy2NA9ewYeXPz+JlRfmwKBVY8a4RNz9uryP3/jWAVlyqvjzw/U26V4J7vPFAlTByain0++eaLLjztcOSO9VaXMPY3tgnG2iphi7/d3kojReXVuahx9s3S09/0xKi5PF+tZdlVh9cS7S4o3ISDTiLoWxyMoLc3C43gaHx4uMBBP0euWFgr7uDW7yiU3JZs1Zx2dvsanXqvDI1cWyohDXn5uFP39aEfJcNTHVipV/2BUSo5uXT++1uvBgJ2QyRkmpH19WkhnyfCeehLLh9b1Yds44PLi4CCebO6W53fWXT4bLK2DV3Ik4Um+TLSxvL6vFmkvy4XB5pZM+A39vyk2zMTrOgKwkM94rq8PB2vZe5zjo7MQZdTDp1ci3xsHu9MBi1KLT6UacURfpphH1irFLsYhxS7GKsUsjWeBzcn/mH9PijVhWEjonK+6P6a/+FAX2ClDcpL/1/50X8lzX0umCQavGo38/iAXFGVhyTiYAYNO2MkxKi8PEVOWNv1lJZtw6Lw93v7ZPOi1v3aWT4BN8UoEeMcGpuqUTd82fjJ9uOyibsxATXBQTChcXIC/glFGlvyOuwawoycLWXZW4dV6+9IwZLpnwo/ImrCjJwgsfV2BBcQaON3YozgnljLYiPcEo7c1wuOUnJI0kSnNCd756AKvm5oSN+d7mgs+dkCLtGQtMXBP/jl6rxoqSLBh1GsVCqi12Jx5595BUPO2hdw7gB6V5aKloDps01NblxsHadtw8J0cq1trU6QqZU1j/6l6suyQPeWPisWlJMcobOqT5jI2LpkrJoUrv+XTE0imHQylc3KTF98RN8OlaSvsO7r5iMo7U27Hh9X1Sf3H/lYXIT7ViTn5qSD9892v7pHUs8bq+fescaT9X4HrVlp3l+P23ZvlPQgaw5JxMaZ+i0jqdWAw7cG1Y3LtY0RR6im1fp0cGz0H3JyEx8HRTsQ0PXFkAq0GHyubuE49NJunf93ZKHBA+sTD4ZOS1pXnIS7Ni3qQ0qNUqnGiy4+7X90p9t3Sy6fhkHG04+9PGBtr4FAtmZSf3a19WoMA+85XPq0JOJBYTii+YmNKv/TlK33/rL5+MLrc/cUn8Dq5td0h9HNCTDNrQ4Qx5jd6Sb90eX8i87B2v7JH24wSu6fbW5v6ewqhUKPP6c7Owp6oNxwL64OATEjdtK1Psjyua7SHxu6A4o9c9EL2trYjXNPi95Iy2osHmCLm/15bmIRqTefp7GIAYv/cvLFTsB5o63FLfKv5s3Uu7se6SPOk0WwDYuqsybMEPs16Ln7y6Dy2dLlnCfXaKSfHU7eC29fY93FvsCYIPXbp4fHK8CekJRkweE39afWl/Bce00nPCUzuO4NGl07BpW5niwReBhWLEsa54X2anmKQxeOC1tBj88RcYjz+8JB93/m0P7r+yKOzplcNBuO8twddz2INRr0Fzp0u2HhX4nRtuDJJk6tkvEBhfLo+At/ZUY0FxBn7+gfK+McGnHFczxiXixVXnYky8/9CWbzz9oWzPY+Drv7NmDsanWNCli8dHxxphMWjh9ghoc7iRM8qCBxcXyWLhwcVFyEoyS7/jdIrLiwnfYrLxspJM5KfGhRRw7+0z762Q8trSPLy7tyYkTv1rhj4888GhkDHEhBRrzMYu58tooPSZ8KnklVdewZIlSwa6LTSEeutoxYfhLrcXE0aZ4XD3nCgjnsb4va9NRIfTIzvVa/3lk7FhQYGsipzD7d/Y+esbSjAmvu+NpzRyBFaEaWh3KsZjs92Jg7W2kMnabftqoFUDZoMWD7/rT0C+ec4E2Wb1taV5MOs0sDk9uOcN+QOGuIlTnKQRfOAmoBgVDRX6x6dYsHHRVOyqaO7XQ5+4sFHX7oTL60W8QYdEkw5PXTMTOg1QVtuBzd2TkdkpJnz/4jw8/O5BWWx/96Ic/Opf5WjpdGHDggLYHG6sv2KK1CeLrx04MD9Y287J4iE2FPF5upMxYgyEe5isaLKjweaE3eXBpFQrtq2dg8YOJ3QaNZo6XDhc1yY99I7tPokmsNLg2tI8pMYbkGTWwyP4kJ1iwmiLHhsWFGDjWwcUk0oC+2QxHntLpNr41gFsXXXeoH2mI9VQ96fhxqJlAX1V4MQc4F9UXluah6xkMwQfoNOo8IvrZsAH4PrffIIksx6Tx8Th5jk5sBo0UEEli88HFhWhprUT1a3K8S+eVi9OuDs83pD4u/+t/SELPRw/jExi/xvu+1UsQiL2c39ceS7cXgGVLZ0Yn2wJeWb6orIl7GStUafGxkVF+OlVRbjr1Z5JOnEhUPwdgfeV2F8qJdiJfW24BdDHlk7jmCEKhZtcDqz++sjign6dzhw4fgi34SUwTpQmf3953UwcqrPBrNPAqFVh1dyJspO5xDHqH7oLlYiLJIGMOrV0+nJwn7/upd1S4aneFmz6Enhf9PVe6eycTaJm4Pi1v5tcAgtWVDTZ8eXJVry7twZXz8yEQauG4POhpq0Tv76hBE9uP4T8VEvI2DVcnHoF4O7X9mGU1YC5eaP7XbEy8PmLm3xik1mwn3V8irFZsHYOqlu7UNXShQ6HB9+9KAcajRo3/f4z2Xd5zmgzbjhvPB57r2cBa92l+bA5PIqvdTDMeFl8/cFOyGSMklI/np8apxgXx+ptWH1xHja83rPx987LJyN3tAWH6jpkJ3IGjm2vmjkOq//8BW6ek6P4ez882ojffFiOLTeUSFXyGZeDx+sT4PWpZM8n9y4shNcnQAjYeE0UbcLFruAT+v7HRBHCuKVYxdilWObxCNhf04YqVzxcJ1tRmB4PrbZnIrOvZIXTnX8cn2IJ+wxVb3MgoZ/t7k9R4MDTFQNfp9PtxTPXzcCeqjbplJGpmQlo63KHFOBbMy8PNW2dmDDKErJZ9+GrpiI/zYqnu4tZBhdRfea6GWjv8oRsOF9bmocutxelk1NRmJ4gfb5mvSY0ofC1AyjOSul13uOpHUew+uJcODxefO+iXJxstuOmC7Lx8LuHpM8l+HPyCpDWqA1aNf7yaaW0nh343jdtK8PVMzOldRZ/gkL0nyQzGHrbRB/8MzHmA4ufi0ldU9LjUdVqx4RRFsVC1NkpJmxYUAiH2wunx4tOlxs/vWoqatsdsli6b2Eh7rx8EjqcXvz50wosO2cc7np1H+5fWChLDgWAnYfq8UVlq+I8hNK+iSSzHhajDt8NKLL6wJVFcLg98ArCgM1BnE5x7/4mTUU78b2EO8FREHzw+YDHlk6THQohztEq7WkQE2ICr/krn1dhYmqcNBcL+K/TvW/sx2NLp+FgnU3xOmYlmbB6Xq70O+ptDv8pcIlGqQgf4I+RPdVtIfsUC8bGwecDPjrWKLtW4dZkV14YPhFEKaYCYyEzyYQ/rTwX7Q43ki0GWdIoII8lQfDhv+VNsmS3/FQrvD4V1r0sX48eN9aLqrYudLm9WFuai5d2VXWfkOovWNDW5cZXJ1uBMN95gXvnxHWTVXNzkDPKKhV/r2jqwrZ9NSFri72dNhYparUKs7KS8Oz/noMvKlsg+IA3v6rGHfOn9LomG1jk/uqZmfAIPjy6dBqSzBrEGfXodHkh+IDZ41P6dT8Hfv+JvzPZYsBtf/1K8Tv4h5fkw6hVS0UWfvNheUgC7fHGnuTb4CL85Y2hCZMOd88e8sA1XSWnmzwZ2B+GO0hg276akBMSf3hJPgSfD3aXP7lSvG8tem1I/9pXMl+4tZVJt85RPFlO/CxdHh9e/KxSluj44meVKMro76hu6PT3MADx1EKTQYNnrp2B8kY7XF5BSmz3CoLs/YoJxhajDps/6Llud82fLCWfBRaDXDMvD4++dxA3nJeNFz6ukBLu//ZFFVaUZMmSxoPj9kwSzEIPGtgjrVdMSovDn1aei88rmpGeaD7t5O5AgX20Wa9FdooJFU1dAMI/Jxypt2HV3Ilo6XTJ5toFwQezXisVigneN7GgOENK8BN/l5hg+PKuKun6qFWA4POhoqkLX1S2KLahpSv6kpPPRHqCEWtKc2HWa5CRaMbxRju8goAUS2gfGbxHIHjsGhw/FsEGIHzxmXAn2Yrj5OwUExYUZ0j3zJtfVSM7xT8WLm/okH5fuDhpsjuxt7pNVrRBLES9rCQTr++ulq65zwc8veMIZmYlyQ5/C9eni7JTTDDpNPiysgUHa9vxva/lIi/Vike2lYUciiFKtRoU75nRViM8HgG7q1pDiq2I+yme/6gCq+bmYMa4RJj1Wnx2ohnPdO/FFNsnjiHUKlXMxi7ny2ignFHC59NPP82EzxgXbtLArNPgtd3VWP/qXuSnWnH7/MlYU5qLvNQ4ZKeYMD0zAalWPZLMejR0OGUd8cPvHpRO8wrkcPs378cbtdwAQCHUahWmpMcrxqNOrVacrN28fDqqmu1o73Lj0aXTMMqqx51/2xPy4HTDedlweJQn21QBG6MnpfmTQ3hiHCnpa/JUrVZBp1FB8CkvFqigQnn3RCUA7DhUhyN1HXjxs54qkwuKM2DSqTEzOxFPbT8sezi7J6gikjiQ/enVU+Hz+XDfm/tR0dSFNaW5sokdMcat3UfXh2tf4ATfcJkkHu6Cr9VlU9LwTh+TMUoPbkrx4HAL+O6fek5XfOa6GdLpm+ICy8bFRWjtdCEtwYg7/rZXMT6XlWRCp1Zh09VTcayxE1t2HsPKC3OQlWyS/n5grE5K848zxHgcn2LBpiXFONbQobwQ6ep5YBMXYv2TzKaQhViKTuHGot6g51lxYk6jVuHbF0xAp9uLHwUsOqy7NB95aVasLc1DvEmHx97zVx7OTDSHVBy85/V9WDU3B+OSzLKJNcA/cWE1aKUFnG37anD9udl9TngoLbawPx0ZxMnwjEST4gKaL2CB2+EWsPNIA17eVYVlJZnIS7XKnqMA//f0shL/6XM/umwyfhwUvxte34e1pXn41fUz0Wx3oaK5UzqxXnxNp0L/OnlMnKz6dOB3f7gF0HCniY62soBPJIWbXA6s/upuOdWv/kaM30m3zkGdrQu/+TD8GLGxwxmyYFPT5kBDhxObth3CxfmjcOMFE/DdP8lPTt74lr+yt7hQ09Lpwv9MHIWisQlosbvQ0umCSafBszvLpdd1uP2Jy2qVCjfPycG4RJNiP9zXIndavBFZSWZUtnTKFqTF93amizTUu34lwmk0ONFkR5JZh62rzofb60WyxSD7ruzPJpfg6201avHyrip864LxsoTOH16Sj/cP1GDFrGxo1Grpz8S2KcXp5DHxePafR7G2NA8AsP1gHXJGWftdsVK8V4IXF/s7Nujr/XOcMfgmpcXhl9fPhMWgRVqcAVnJpx+fxxvtKKtpl21KemL5dPxQYY7r+W/Pxg+2yr/3N79/GL+5seS0xst9LdqdSTwq6e9GNCWM3+Ej+D7xCsrfsVPGxuOOV/aEbDpaU5obcnKBWM0aAB5776D0Z0q/16hVh2wgGy7j12i8Tzxe4Nl/HZWNCZ/911E8cnUxTjTZOZ9OUau32CWKVoxbilWMXYpVHo+A7Yfq4Pb4YHd6cbKlE7XtXSidlAatVt3rhnFxnJ6eYMT6yychPdF/gkpgcgwQ+szc2/6Y1DgjnM7+tb0/RYF72xdmd3nw+m7/aTQ+FWDQaGA1aBQL9z5/02zFJIj1r+7Fqrk5WFGSBZUq9DTRPVVtIc9+T3xwWCqYNjdvFN4rq5N+r7jfIZC4wRnwz3l0ub2Kf2dMvBF3B5zi98CVRchOMeGVz6tCTo9ZMy8Pnx1vws+WToPP58OYeCP2VTfDqtfINkqLazBiIUPx37qDJ2dGiL6KUgb+TIx5tVqFwrFxikld2ckWjB/ln6vKTDTi5yumI9GkQ0VzJ5795xHceEEOxiaakJVsxrH6jpD4uu/N/dIpSGvm5WFcsglJZj0SLXrc9D/jsfn9nnnin6+Yjp++WxZy6tjVMzOhUYXOKSwryZTaK77ePW/swy+vmwmDVoM1pbkQfD3rJb3Njak1Gpxo7EBdu7/odnayRZpr7s99HK4fKkiPQ01b9Mwd9EdffarSnz981VTMzEqUzdEGS08w4sbzs2X3+T0LCqRDTcT+GPD/t9WoxeQxcYrx3Nzpgs/nTwx7cHERki1aqNUqdLrkfc/VMzOlGAN69spsuaEE33j6Q6kdP1tSjPREI2xdysX9xBNrz3TOWTwlc/3lU/D4sun40cvy07h8vp65puBDDG6eO1FxPTozySQrWiiexHX51HTpM85OMeG+hYW47bJ8ODyC7F5Qmr8WfAgp/j4nPzXkPgt32lgk5548HgFv7a+RnZz28FVTMS9vdK9zeGnxRmSnmGSFFEqyE3Dt7PG4+fkvTvt+DkwgFedZxSJ4SoX0n/jgcMgJzJu2lSEj0YhOlxepcUYca+hARVMXXvi4Qvb9Z3O44RUExbj0BRS9Di5UEXgARrvDjUO17SEJvAVr5+BATWjy5GVT0qT+MNxBApuXTZMSlIPf5zM7jkrxKh5KFPz939v4S/yMlfZOVDbLx0BJZj0O1rbDqFN3Xy8Bd8yfgoO17VJC8IqSLHiFyI8XwiXZ93YYgMcjwO70IsGogc3hCfn+TjHr0OnySqcQiuMjlQqyezrJrEen24tb/9KToLthQQHau9x4/iP/GCvwgAiVCorXft1Lu5Gx6jx0urxITzCGPZVWvI69Je6qVJBOLVRKKv71zmOKp/EGnkbf28mhwd9hjy2bhrZOF7RqNdITjSH71MQ+U1yvrmt3yhJTN20rw+qL86Tvi8D3LH7HBcfruCQzbjw/G26vDxNGWVDd2omMRDPSE4xh9w4Hnl4ZjfqzZiIIPhyoseH13f77L/Ags/sWFmLrf46H3SOwdVelbOwamBQ92mqERg0cO+WGrqEDvu6DpYL7py03nKP42Vr0Ghi1anz/a3nSoVViErR4Amfwuq7S7/F4fSEnFIvfmYIPqGjqkr47xf1iR+ttsDk8cHm9IQnI4u8tSo/H6nm5+PhYA755wQT891gTxiQYoQLwl08rpbGG+Fy0aVsZMhKMaHRboK/vQEWLPaSvXXdpPnRa4LWvqmXfnWLi/mWFY5CdYsH6K6agurUTcUYtki0GuLzKeR6CD7AYQpP4YyF2Ac6X0cAJm/C5cOHCsP+osbFxUBpDQ0dp0mDjoiLUtjulZM87r5gMQQAmp8XBYtDiocVFeP6j47i0YKxUHWZZSSZ+dFk+LAYtKprssBqUvxjGJJiw/VA9qtscsslPIgCYMCo0Hn961VTUhak4WNXSidzUOOyuakVzpxsWQwK+M3ci/m/nMakq3D0LCmE1qNHa5Q37ACo+iDz8ThlaOl3IS7ViJpOSKUB/FnEA/0TNm19Vhzz0PXBlIb482YK/fFqJtaX5mJJuhcPVM+AWT/BSqko1Jz8V+akWxQ32Zr0GahWwq7IVy0vGQa1SIdmsx/rLJ8EXdKLdhgUFSE/wt++hq6biJwFVC8WHB49HwH/Lm7CrollWjYz9dfTpLSZ7m4xxeeSTcUqLWxsXFeGRbWWyyReHS5CS5tITjFhRkoXVf/5CtugWnGRs1muQFm/E6HgdOl3+xI0lM8dhwigLBEHA2tJc/ONgPb5RPFYWqw8uKoKty40dB+uQnWzB5QVj8PnJFsVEKrXKn0idmWDCG3tPyR4QH1xchMXTMpj0GcUEwQe1Cnj4qqmySqqblhRj8/uHZH9XnJizOdxo6nSFLAz/6ZMKrCnNR5fbKyXSB05ui8Q4zUgwoaqlExsWFODZfx7FjRfkwOcT4BUgq175w0vy4fZ6pQU7AFK1OqNWje9fnCstwOg1allif3++N2h4UKtVmJqRIC2gBU50P/9RhfT3jDo19Bq14qSxeIpRvEGDrGQLjCUaHK1Xriprd3nx3T99gdsuy8eEFAuWlWRC8AFWvQaFY+PR5RHwp5tno7XTLVXuPlxnwz0LC/DSp5WYOi4Rk8fEocXuwo6mWqSYDSGL3mtL85CVYgq5P9eW5uF4U0dIwhMNnd4qbo4f5R8DlDWGr2AXPBGemWDCvlNt2Pz+obALFy6XF5XNXbIFmx9ekg8V/BUl15bmomhsAr48GVoNMj/VinOyk1Db5sCmJVNR29qFH7/yFVbNnQibw40utxcJJi1GW/0LEXFGDTITzWjrcqOsph2vfF6F5SWZsvFLcPXgwvR4qNWqkEVuvVaFW+flycYH4oJ08PhH6WR0OjP9SVQssxlw5wsfyj7/mVnJEAQf9la3oqbNX5U6uF8NXkwL/q7dtKQY370oBw+/e1A2Tnjig8PYvGwaNv39IH789cm4eU4OgJ7nKnGRYOuuSvzkiinw+nyIN2px5xWTcbSuA7cEVHAXN2boNRoIPgE6jTpkY092ign5aXFYd2k+ckZb4HR7cbyhA2W14Sv/Buttk09/n0/pzCjF6KYlxcjs3rB5osmOJrsTm5YUyyqo9hWf4vf9yWa74vN9U4dLcdzaZPcniQZWTn3oqqlosjmwel6uVDF5WUkmOp1eaTwq3oviQq9Bqz7jeFTSn41o4T5fxm/sUSqoELgZV7xPLi8YExIXa+bl4Y5X9mBFSRYEnw9PdZ/4Ij6XiQVQAMjmFB577yBWlGThhY8r8MrnVSHjlPWXT8boOCPunD8Z08YlYOJoCwxaDe5ZMAUPvFUW0+PXaL1POpwe3HxhDho6nNLpPzdfmIMOpwcqnqJKUay32CWKVuHitsvtCTkliCiasM+lWHW0oR2dLi+ON9ql2M1NteI/xxowLtkCFXo29IrP6wdr25EWZ4AAH0ZbDThS3wGvD7JNxeIaQeCpdIGU9sdsXj4dahVwqnvzrEYN1LT554G1GqC2TZ4sBoQvWiU+yynNY6yZl4c1W7/Eyv+ZgOtmZ8vXahcXKSZHubwCDta2h92A+9SOI/jldTND/jzw1DqlQsA6jRqbtvUk4YkHEQQXbD3Z3IUbnvMXLF5bmqs4B1nZ0imbF7znjX34vxvOwVcn2zB7fDJeWnUePjhYD68AfHa8CZcVpkuJTtkpJty7oBCtXW5o1QhJ2J06NgGr5+ViUlocHnvvIOYXjUGsGYjiQkpzQo9cVQCrqedkn+C5zBNNdhyus6G+3YH8VCvm5Kd2Jyx40dThQmaiINsMvqY0F/892oAlM7Ok62PUqfHI1cWKSQ1i8sPWXZV4cNFU/OCSPMQZNPjTJxVIMutx4/nZyEo2Q6tR4Za5E3F/QNLKvQsKkJ5ohMMt4N6Fhbj/zf3Sn+WMsirGu83pwS//eQTn5ozu3pdWgOf+fQzXzB7vTwao70C9reczBoDyLhNO7KsNWZcQn/X7OmktXOLKqrk5eGr70aiZO+iPcO9FPMExXGL5O2vm9PrevEJowvkD3YkcN56fLSUWpScYcdP/jMctf/wcSWZ9yHrR/QsLMH6UFTVtDiRbdPjjx8dxWWEGjDotUuPk6x/hTuCqbevCzXNysPNQPebkp+JoQwe0GhWqmjvDJkynWPR4cFGRLGl905JiaDXAJ+VN8ApeOL3AlwGnS4pFLJ/acQRrS/Owv6YdRWPj8eebz0Wny4NPT7TgYJ0Nv/9vOdaUToLD7cX0zEQ8uKgArV0eODwCVFB+Dyeb5f2pP5H1HKx64XPZvqHv/qknaVFMPP1B6ST86ZPjst8pvs/A4u+bl08P+70SWHy7t2TqoXKgpi3kFL31r+5FZpIJP9tWhhsvyEFlcyfq2h04Z1wS9N2nQI9PsWDjoqnSSYXpCUZ8+8KJp3U/B58WaNSpQxLijDp1SDwG7o1ZPS8XOw/V47LCMUiLN2LHwXopYfieBQXS966YKJSdYsLtl02GD76QvvGu+ZNhc3qwel4uNCogLc4Ih7MnIflYQwcaO5x4IOi0bDFRyOEWUNfuVPwM3lkzR+oPD4c5gdfdxwl6Yrz+z8QUFKQnoGBsHB5bOg12lwcWvRYJJk2v629xRn+B+C0B+48fXFwEjQayuezAPR/ZKSasLc2X7avYsKAAr35xErMnJA1kKJ62/s41B8ZZeoIRe6ra8ONX/AfviKd1Aj2fb7jipo8tnSa7PlfPzAzpmze+dQArL8yRxlniPS+ur3Y5PSGF0x1uAZ+UN6HN4UVWsgktdhd+csUUPPROz1rAz5YUS9+74YqiltW2I8Wih8MdmiSdZNbD4fHi+nOz0eX24Inl09HucCN3tBWj4vT4vLIZBo0ate1OuDz+fZA2hwdVLZ3weH3ITjajy+MNSQw+2dwp/565shC//OdRac1PvD/EOF730m6k3DQbRp0Gv/23Pw4Bf0EZk14j+x6xGjQhxQ7WluahpbtQyl8+rYReq8Id86egvKED9ywowKtfVuJnS4rx46A1TvH0ymik1mj6FcfiGCL4JFSHu6dIiNjPiT8Xn2O23FAie14Tk6LHp1hCXvupa2ZIzy6pcXqMshhgc3igUqlkSelicQCDVo1DdTZs+vshWZvufm0fZoxLwsRUq2yPhdKa2JMrpqO6tavX70zx34c7IXnHwVrct7AQ+0+1w+ER8PGxBnx/Xh66nF4UpMdh3qTR+OR4c0iRHHGsEXgC74pffyyLuXf31shOlM1OsaC6xYG7X9snG7+rVcBNF07AXX+T70Nr7HCheGwizs9JAYCQoiqT0+Jg0Sv339EcuyLOl9FACZvw2dTUhOeeew7x8fGyn/t8PlxzzTWD3jAaXIEnepTVtuNwnQ2b3z+Mmy7Ixm2X5SMjyQyHW8D93SfHZaeYcOf8KVg8fRwO1dmQn2rF/KL0kC+Gu1/fi1vm5uLZnfKBSZPN4d9IH/CgTgT0PDRkJhnxy+tnYvfJVoyJNyA13gCnW5ANRq6emQmNGigcG4/1r+5FRVMXSrITcH5OMjoc7pCqcBsWFMDn8+Gu+ZPx020HpZ/fs6AAFr0Gq+bmSBM7AHDHK3swNSOB8UkSpQnF4IpXGjXQZHdi3aWTsPn9Q1h9cS4yEv0LFFWtnehyefHtCybgz5+cwI8umwwfgCevmYEEkxYl2YlosDlx67xc/PHjStS0ObB1VyVWzZ2ILTuP4Za5E0MqIu04WIsEk16aTBMHvz/ffgTLSjJDkqHEijRGrQZ/+eQENi+fjqP1HXB6BDy94whKspPwVVVbyELPpm1lmDwmjvfDEAicPBFjSqzeptbIK9H0NQmu9Ls/PtGEe97YJ3sgbOl0YVKaFb+7aRZONnXCpNfC6XbjmllZyEwyw+H2ItGkQ117l/RQVjg2Hieb7NJGebNeE1KRLjvFhHsXFsLpFqCCGlUtnVJMirH12u5q3H1FAW598Uv5w2z36XWbth2CUafG48um49LJqSELkWtL8/CDrbvR0unCT6+aiqeDHtTvfm0f8lKtmDYuspNnw92ZLgwGTiommfVYNTcH+WlxmJwWh+q2TlwzKwsvflYpTaCWZCdDowZaO13IS40LSdRYUJyBp7YfxtrSfFwzKwtdbi9unpODaRkJWH/5JLQ7vbAaNFB1J8OLBUvcHh+unT0eP/7rV1L118A4+vOnFVhbmo8t7xyUxV5Gkgmtdhee+UfPz8ckmPDsv47ijvlTMCkt7rTuUYqc/sZwX39PEHwQfAJWzfVXTrPoNcgZ3ZOMqVEByd3VC4MntJ/acQSrL86FRq3C5g+O4JlrZ2DrrkrcMX9ySBJRSXYCZo1PwrjEQmSlmFHdKu9f118+GV1uIaTog0oFnGyy44risdjwurx6mlbdoThJLxLfk88HaXPKO4zls3K2myr6qrjZ2+sGT0b/6vqZ0verWLlVowZKJ6dCo1Jh2/4ajLIa8PQOeYVisVLqrX/5EtkpJv9pcT75JPK6S/KgUqvwnYDx6n0LC5Fg1EkLOc/9uxzrLs3H+iumYE9VK+KMOqnIhJhY+vaeU1h3aT42v39Y2pwROMn86NJiqFVqWWKgWEE0ePH1ye1H8IebZiMt3oDLCsagoSP8yegjzUCdJNZXEtiJJjvufO1AyHdk/uoLsbuqVZag++jSYry1+kI02p1IjfMnGB1vtKOi2Y4kkw4Ha9tlY4I7XtmDLTeco7jQoVapcN3sbPzs7wcDCkQV4Ff/PIrD9R04JzsRYxOMsvhbd2k+jFq1bBPSsYYOdDjd6HB4kGQxhPSpOw7WYlmJfCPSmnl5OFRrC+lrexsb9LbJp7yhg+OMQaQUo+LJhC6vF6v//KX0zLPlhhJ4BQFmvRbxJg2+qGxGS6cbCSYdNgUU0RG/79eW5sFi1EmxEJhADwDrL58El9cHwQfkpVrx3L+PAfBXkr//yiK02R1IiTfhJ91zYeLmCqdXkBVu2Lx8Oi6ZlIrffWsWyhvtIXNkrV1ulDfYQ6pqn04M9WcjWrjPl/EbW5TGD1tuKAm5juJ9csmkVPxx5bn4uLwJWSkWnGrtxMJpGdi6qxLfuyhXsWr2Dy/x97dv7qnGjRfkoNPlwcNXTUVNayduPD8bm7YdwgsfV2DdJXmYnB4Ph1tAu8MtbSgJ3FB267w8rLskD+1Ob8yOX6P1Phlt1eN4o132/LHu0nyMtuoRZ9RHrF1Efektdomi1WiLctzCB1z7609iakM/jSzscylW2Zxe2Lrcsp+12F2oaunCd/74BR66airWXzEZo61G2F0enGzuxEu7qrBlZ3n3HDvQ4fKGrM8/uf0IHl06DUfqbchKMuFkiz0kYTP45JjjTR2Y/2RPEar1l0+Gyyug2tyF0VYDDtW243f/9T/nbFpSDK1ahR8FbCgOLFoV+CyXnWLCc9+chU+ON8Er9Jxa2WgPLbJ692v7/Bvcu9wwG7Ro6XTC4RZw8/O7cPOcHMVkJV93UmdjhzPkz8VT65SeBx9cXATB5wspjn3vgkLZfrM75k+RPSe9tKsKGxYUhMx5PLOjZwO3+H7q253IS/Nv1M9IMONwfQfufm0ffrZ0mjSHV5wRjxWzs/C9P/ckLgUm7K6/fDJ0WjXiDVqoVMBtl02STuOJJI9HwP6atu4kNhMK0+PDFkM+k+JC4eaMg+eE3C2nMDFnHF5adR5OtTkQb9JibLwRZTVtKKu1yeZ8g6/tuGQzfJDP5Zv1Gtxamo/PK1pkyTVmvQar5+WGnDIG+BObrpudjf/XnVTlj5vJyBltRlWLAz96WXkt+P63DuBX18/EsYYO/ONgHZ5cMQMen4A4gxYHTrUrxvup1i5cNXOcrB0bFxXh7a+q0WBzyNYvNi0pRnFGAsrqO0PutcBn/d7WfcTroDTvHZjgFA1zB/0RLgmnrt1fTCrcn/d1wmN9mMMkBJ8/EVRMprvx/GxpLrWmzYHnP6rAqrk5mDEuEQlGLY41duKbv/tUuob3X1mI9/ZXw6hVQ6tR4fFl09DU4URmkhmCz4cXVs7G/up2dLg8UuFoq1GLj4814NrZ2bj/rZ5EuR9eko+HrirCT17dJ+u72rvc+NW/yqHXqvC7b83CR+X+vnrz+4dwy0W5+MfBGiyfNR4Ha9qRlxqHmtZO3Dl/Cp779zHceH42ACDFYpCdGra2NA8vdxdHvWVurpRwmJ1iwi0X5Ur7HMIl0KclGLF6Xi6AnnXqZntP0cJwpy/+3w3n4Onth/H9i/OkhJI3v6rGNbOykJdmldaKxL4kI9EUpvh7z/8feAJapNSEicvGDieuP3e8bE1o46IizJ6QhFOt/r5Tq1bJPrfgJFdxL2zOKCuevnYGfr3zmHQS4YRRFumEvwXFGUgwavHbb5WgweaU+kcxMcjp6TkMRSnZJ7j/FZN4HnjrAP7vhnPweYU/mTjVqkdWigVfdCcXf3ysAT9fMR3VLV0oGBuPE02deCZg/+24ZDNmpJik7xixrw1M8HF6vLjvykLc98Z+tHS6YHcqn3Yr3ufiva4Umxq1SvHn+Wlxspj94GA9jjd1ItGslR1qlI84FI6Nx9u3zpGtEwP+sdPB2nbpdMDAz2/DggIp0Vrw+bB1V6W0j25SWpxU9EN8LxvfOoDNy6fDHuFknsC55vQEI64/Nws2hxsflzci3qRDl9sLk06Dw3UdWP/qXiSZ9fjJFVNwtKEDN8/JgdWgUbxW3jCJt6qg04rDJcaHJHVb9fje13JD1lfFMWt2iilkfe2BRUV46toZKG/oQKfLC03AeCY9wahY2P9wnQ2lk9Ng1KkRZ+w51d2kU8Oq1+Kn2w5K+xEC1x/WXZoPg0aN3/73OFaUZGHrrkp8+4IJONbQEXKytLj2lp5gxF1XTAk5RfneN/bjZ0un4Wi9DZPHxOPZfx6V3uPUjAQ8unQa6m1OtNidWHpOFu4LSLhed2m+tAc+yaxHdrIFZd3r5WJf/eR2//6jZ/5xFGtL82SnURp1/qKyCWattA9IrQL02uieW7KrLYoFeDKTTIg3atHQ4YRapUJNm6PXuNUEDZMDn2O0apXiuDd4vSbJrEeT3YXn/l2O/FQrrj03W5bged/CQvzp5tn46FgzutwCfD4BP3p5L773tVzFNh2sa8eEURbZHouaNgd2HKzFr28oQUunC2a9Bi6PvxhDuGexv33Rc+hL2BOSl0+XCjWUZCfgmtnj8d0/9jz/PHPdTMX9bGKibFaSCeuvmBLS3734WSXu+PpkHKi1IcmkQ2ayGV0ur7TPIjjHaP3lk3HbZfmIM+hgNmhR09qJ9i4X3t5Xg7sCEufFdb9rZmXhoe7DvJ65bkZI/33oUOtAhtug4HwZDZSwCZ9f+9rXYLfbMWXKlJA/O/fccwe1UTQ01GqVf0Lq5Z6Tu+JMelllFvGkuflF6bKBzDPXzZRO+AJ6Kmb96LLJOFpvw4OLirC/ph02hxdbd1XiocVTseWv/s2kFU12NNjkk5lclBqZAicWxUnV/FQrrj8vGyv/sEuqqBV4YleS2f9Ft/riPAiCFxqNBiv/sEuxqoyY6DZ1bAL+74Zz0NrpRrJFj1PNdhxpsOOZHUeRnmCUTukCgGa7M+onwWjoBE8oipXKVmyRVyp5/qMK6LUqbFw0FRa9Bp+e6Kl4kp1iwj0LCrBiVjZu+v1nSDLr8d2LclDe4JU9+N27oAB/+bQSc/JTsfGtA/jJ5VOkCoNAz0D6uW+WYOUfdoUsGq28MEdWJVPkcAvIS41DdWsnzps4WpoMEqvWnGzpkjb7Az1Vi753US4aOpzSQ4zSpD6dPaUFlsBFpEcWFyAv4OTh05nkFgQf9lW3osXuRkVTl5TMEWfUIDvZApvTi6+q2qSTsNZdmg/ALatA++DiqUiPBxLMBhyr78DEVCt+9Q//5vj7FhZi46KikEp+3/tTzwmgwYsX4sNgc6dL8X0kd/fxDreAH728G2/fOgcLi8diakYCKprs+PJkq3Rq3soLc3C8yY7bLpuMh98pk1X3auhw4pPyJo41BsmZVIIT+43ACZGaNodUqXDrqvNwz+v7ccN52fjBJfk40WjHS7uq8Pruajy0eCoaOlyyRUExEeicrASck50Ij1dAYloc7n9rvzRRvbY0D698XoVlJZl4fXc11pbmId4kTzYSJxSD43FBcYZUhQ/o6Wuf+2YJHn9PXnnr/u5qYJu2leHhq6ZKk0gerw8Oj//vcXwRXU4nhpX+3mVT0lDR3ImKZjusei1u/+uenoULqGDWa2HVa9Du9OK13dW4/txsqFRQrD6clxaH/afa8L2v5cJi0OCG88Zj07aDsqqRHx2tQ/6YRFny3P1XFmL9FZNRb3Phlc+rFDdniLGuUQObP9gX0h8/GlRlUfwzu8srtU9s75JzMvHK51V9LqpSeJE4sUnshxtsodVSj9TZQk6aA4CsZLOsvxWrtQo+f+X56tZOZCSakZ5gxLfOHw+TToOCMXF4bNk0NNgcMGjVONnaFRKP9725H0+umI7v/PELqd/90ycVGHvZZKQnmqXxhzhRb3f5K8TWtjmwam4O8lJDF8yO1HcojjXCxbYPPuk01ImpjGNgYOOyrySwcOPY4032kATd2/+6B39ceS7GxBvR0unCf5o78XllC0ZZ9ehw6mHVa5CeaEaXy4MHrizE0zuOwOUVFBfwEsw6/HlbhbQIt6A4A2W17Vh7ST68PgGCAKnasPj6m98/jB9/fRJWzM4K2bzj9XnwzD+OyO6frbsq8cjVxfiovEm2sNZbPAb2p+K9esptgaH7lEalTT5nuuGFwgscr3aE2Wiwq6JZ+v/TE4xYUJyBXRXNyE+Lw/P/PYFLCsfIKj7fOX8KXvqsEgUZiVKMjE+xhFQ8/vOnFbj9ssk4Ut+BvDQrHnm35yTP4A0YD101FR0ONxZOy+g5GbSz57s/cJEz0azDvqpWxTkycQwcXFW73uaQxuqBcRiuHziTAgSM39ggrxqvCRk/7KpoDnuf6DQq2Lo8SIs3orbVX9larfLfEwadSla4IfD7fsKoBHz7f3JwsM4GwQecau3CxFQrpo8zozgjHm0ONxLNBqx64fOwm4aumZWFu1/bF1KlGQAqmuwxU+AhWu+TTpcXf/qkQvbd96dPKlA0Nh6Jkd/nTBRWb7FLFK063cpxu3FREYDY2tBPI0unyyslUAD+edAOpwe17U6U9/F8QRRJHq+g+POc0f7T/Z7afhir5k4MKTojnnTyxPLp2F+jfELZoTqblISY3l041OXx4cbzs5GdYkGiWYv0eBNmj0/B8Ua7VGgKENfr5UWe1pbm4Za5OXjliyoca+hAXmocHl06DdWtnfjDfytwxyt7kGLVY0ycUfYs5/L4UNXSiae2i23x74/JSDAptrustl1au9uwoAB/+uQ4HG7l02bEz8KoU6Pe5gz58/y0OPxsSTGONnSEbDy++7V9eP6m2SE/v/+t/fj9TbOw52QrxiSa0eH04PbLJiE7xYwOpxfJFh3UamDzsmk4WGeDVwDcHi9aOl2y95KdYoJBp0FZTTuMWg06nR60d7nx4OIiqNEzz3PL13JDnn3FhF29Vo2mDoeU+GKvsyE31Yrqtk5kp0Tue9jjkZ+KKSZFLZ6WoZj0eSYFpXubMw6cEzrUArxXVicV+l1W4k9cSrHoZUWbk8x61LR34XsX5eJkaxde+byqO8F4mvSMH2fUYJTVIFsLe2BREUZZdThU2xGyCV1Marj+3CypGKr4Z5u2HcTPl0+X5nbDJZ18XtmK33xYjg0LClDR1AEAaHd6FeP9ngUFSLEasDaoqPWG1+VJxOLPxSKF4fbwhHvWD5yb8Xh9OFxrC7vBv7ffdzpJwUMl8AQrkVGnhtvrw4nGDqhVyslco61GlDd0SKccurz+JKVOlxcujxcGrQa3XZYPh0eQnQglJnJkJZuxel4uJoyyyH63uFfht98sgccHqcgj0JOY8383nIPaNgd++c+j+NGl+QCAo/U2WLoLnAb20WadBpu2HcSd86eEzAU/8cFh/ObGEqwtzUOyRY9muwstdhccHkFag/2ovEnqq4sz4pEap8fXizKk/bliv/vItjJ8Z+5EGHRq1Lc7pWRP8bXE/WMApKRTwL//QdwTDPgT6INPOX3gyiI8vf0wdlW0SXsyksxajEkwSesveo1aMaabO1yYN3mM7OTPh66ainPGJQAqFT453iRLpJmakRBSRHTdpfnwCj6snpcLnw94escRzMxKiuizT4JJJxUvEOcjNSp/EeiDtbaQ/uCxpdOw+i9fwqhT49c3lEgxrVIhpIBucGLmQ1dNhdWgQWOHE5XNdlQ22fHtCybIDjlZMy8Pb35VjdXzcrH100q88HEFbrogGw8tnoqfvLZXMdnn/rf2Y/XFuejqbofT45VOv61rd2LLznIp0e2WP34ue62fvluGuy6fgo/KmxQLRTx/0yyse+kz6T0qFXnYsKAAd8yfhCSzDkadNqTwtVGnhlGrwfsHamHUaTAmXofnvjkLVS2dMOu1+MN/y3FpQTqaO5zYuKhIVpD13oWFePy9g7I9QoD/0Jfff2sWnlg+HV7BPxYSk4Y2LSnG5QVjUNXWhc8rm6GGCgdr21E4NgGT0+KkBC7xfYprK/7TpIuQZNFL9/+a0jCJXLXt+J+Jo4YqTBWJc83pCUasvHACHnvvkPRdnZVsRkaiETavgBNNdqy/YjK0arWsOO6GgBNgRUadWvrf4L66srlTStJaUJyByWPiFP9eYFL32tI8TEy1huyDFfcWPvfvctx3ZRG+2x2X4p/f8/o+rJqbA4tei5e7T6wdbTVgTKIBe6rapFjNTjFh46JCOLv3bQmCgP+7YSZOtTrx8w96ciTWluZJ93jweGPz+4extjRPyou47bLJOFJvk+4bsV+oa3fgpguy8bv/VuCG87JxtF75pNrD3c8IRp0aKy/MQZvDjXWX5qM8IIFUab/l5vcP49c3lOCpa2fA5vAoPp8A/tMVb56Tg6KxCbj7dfmet5+8ulcqghB4Tf78zeKzjLbB09LpRZJZj+vPzUJavBFVLT0FeO7+xhToNGrc+0bPtdy4qEg6HCKwj5mVnSzFs9h3tHa6sKbUX6C/usWOU61ONNldONlix5zc1JD1mqtnZkrfo7dcNDGkr7jvzf343bdmweERUNNiR36q/5kyN9WiPJYT/OP0nNFWFKTHYdXcHJj1GsQZdbJCJmtL8/CPg/W4a/5kNHW6pIMHclOtEAQf7l1YgNFWA3553Uy4BEG2BifOLVY12wP6g4kh45Q9Va2K8SqewGsxaGEPOoFX3CccmPQauOc5+DTgJLMedpd8v/yGBQWIN+lxolFerFg8Nfihd8oA+PcI76lqw2irEbPHp8TU/BLXKGighE34fPjhh8P+o8cff3xQGkNn73RPqjlcZ5M64cAvJKBn8KQ0MVFeL98cuvNQPeYXpcsqbfzwkny8tacaq+ZOlCbXxC+u7/6ppyISK5GOLOE2DnV1b6y7ee5EKY7Eilo/uWKKVHHnlrk5aOp0ocnuRF5qHB54y59kkZVkkg0ogJ6KXR1OD+56sacCxIOLi5Aapw85mc6oUyMv1YqZAclVNLIFTzgqTYyIk2W/+MdRrHphF577ZolsA9uKkix8FfAwefXMTMWkjPu7K2fp1CpkJhpgNuikPw8chLs8gjTAFYkDbED5obqqpVM6NXHNvDyo1T1/dqqlS/Y6wRMvYmKLOFEf+POJBvnpk3T6lBZYAmPqztcOoDgrRZrADDcJnhpnlP3ewIUYseJqTZsDf/uiCjeclx3y4C/4fDjWYFeYoNsrK/IgPmw9s+Mo7ntzP+5fWCjF+l1XTMHR+p5xRbjFC5UKMOu1iu/DbNDK/m5lsx0TU61SRcenth9VjNPg6l4tdre0MMqxxsDrz8JguMXAJLNOMS6a7E6sKMnCY+/1LF6Lp73srW4LmVR74oPD/gXfqjbZgndgLIj30iirHnfMnwKbw41TrV1IMutDFvaC41GjVo7fT443Y0VJlvQa4s8njDLjutk9BStuPD8bz/zjKMcXUaq/i9vh/t6WG0qkaqiblkxVXLgQF1tWlGThT59U4CdXFOD7F09Evc0pTcCtmTcRTo9XmgzOT7XihY9PhIxPH75qKp7cflg2YXyqtQsFYxPw8DsHsWZeHjxhKilOHhMXtspip8sTdpE4zqgJOU1xbWkexsTLv2+o/4b6xCZB8GHHoTrsqWpDRoIpZPI1uBKmWJE+MPFO7C9dXv9z1dF6G5LNejz23kHcMjcHYxKNaOhwhi5q6+WVE8WxrMvr664YrMHF+aNwRfFY3PbXr3DznJywi5sPLCqC2e3F8cbQKtbhxhrhYjt4vEQDH5fihh8xcSxwAT81Tnkca9QpV9osb+jAwVoBGrUa97+5H/mpVmxYWICyU+0w6jQ4Uu9PDKpu7cLKORPgdAuyyohrS/Ng0WukE8G37qoM6V8fXFyE5g5nyOsnmfXIS43DZxXNsntnw+v78PS1M0J+z5p5edhb1Spthgscj/QVj6eTdNvfZwHqn+DPPlxFc6/gr0QsnvgQ2Oc9uLgIL35aIStStqwkE4tmZKK2rQt/6F7U+unVU0P6xRUlWbLF88C4ub97rusX3ePJn7y6FysvzMFbe6qxcXERKhrtmDDKIhVFC+w7t+z0b1ILN28gzveKv9+oUyMtzjjoRQkYv9Ev+J4I3KwifpdnJJiwtjQXL+3qmX816tQw6TQ43mjHA28dQH6qFd/9Wi7Katsh+IBHtpVhbWk+MpNMYb/v711YiNd3V8s25lj0GnzzfyYg3qDFg+8ckOZ/b52XK1XcDpynSDLrYdLJNy4adWp8ebIVLZ1uzMxKRFZydCcaROt94vR48e0LJsg2E3z7gglweQTUtjukghpE0aa32CWKVuHi1iv0xK3DHfliAETBbA6PNHdp0Prnwx/ZViY9J3ONhqKVSqWCPeCEzp6kHf+zxYLiDGkeAAh9pnZ7BVj1GsVxfH5aHNaU5qIkOwl//Pg41l9RgBa7S3ZSzwNXFqKmvQsalUr2HH/1zExZErW4fry2NC9kbkJMBH12Zzla7S6oAdw8x5/os/NQPZbMzIRF70+uMOs1UEGFJz44HPbETjEH1uHuSXD4xT/8pw+JxYUnj7HiSH0HXvjYP+/xw0vy8fv/ngAAaR/Z5LQ4PPh2GfRaFe6cP0Vx/u9kS5diocy6dicMWo1s/1ng5uH7ryxEskUPr+Bfy4gz6WRJS+IpdoH//qGrpuKdvaewq6INz/7vTBh1asXT1sS2Ham3YVpmAtq6PCHxkZVsRnbK2cffmdp/qi2kgN7dr+1DXqoV08Ylhfz90y0uVNFkx8HuE6MA/zVZ99JuZK46D3aXV7YXUTx1Kcmsx7cuGC8lXmanmHDH/Ck4Wt8BjRohz/Fr5uXhs+NNGBVnwI/nT8KJRjs8Xl/I+xITOsYlmRXfg8MjYFyScvKyO2htLDDe0xOMWFaSKa2dbNl5DIumZ2Bckhm5aTq8+VW1FO8qlf8ErNR4fxKJ0mt1hSkk19blkU66Dfzz7BQTTFoNPjrWKCu2XtlsxxeVrVJRYqPOX5Tzh5fkS59t4P0gztdo1IBJp4XQvRbdW1JwJI1PsWDT1cW44297ZLGw4fW9uP2yyahq7cQ9CwqkAo1GnRqPL5uOiuYO7D7ZJo2PMxKMaHV48KdPKhTn6sXT12xOD9aU5iItzoj39p/CrOwkWbKd+NmZDRo02ELXCRxuAa2dbmQlm7FpSTHauzywuxzocntDiu2JCcgVTV0oC9OvfHqiGWMTTBibaIDgg+xAFjFJDfDPQ197brZsn5n4O8TvoAfeOoC1pXkYZTUovlacUYOMRLPsPg7eHyHuyfzldTNhd3mQGmfEo38vw66KNun3/PnTCqyaOxHfCjj59Inl0xW/PzKSTGiwOfDo0mk43miHy+svnPDAoiIcONUOu8sLjQqYmpmAeZPSQoqIqqDCD7buls1pA5BOgI0Uk1aDJ1dMg+BTSfOdr+2uRnaKBWa9fM+cv1/ySgePHG2w4fFl0/Cjl78CALz5VbWUTK60//Anr/r3ZwWeNCsmogUmway8MAcb3zqAZ66bifJ6GyamWtFoc2LV3JywBR3GxBtx9+vyE2ZvuiAb93T/TCnRTXyto/UdyEpW7ofrbC7pu3x8ihmblkyVDg0Q/87Gtw5g3SV5sLu8sjGMeL/eclEu1m79EhVNXSjJTsDykizc84Z8vGTUqvDjv+1DklmPVXNzMGGUBRmJJtz+16+khETxXnz2+pn41fUz0dzpQmVTp7RO85MrpqCty41jDR3YdbIZv/9POc7JHoUnPvDvwzCdr0GX26v4Pg1aNVaUZOGzihbZfRmYxCsSx1NtXfJiFEMtNc7o/z7++mSse/mrkD0t2Skm3Dl/ChKMOmQkmvH9oMOfxJNKgw+w2LLzmKwogvh77C4P0uL1SI3Px92v7fWv6wadyn7PggJY9Bo8fe0MtNidaHd40GRXPjAiP82KR5f6T1ZW+nPBBzzxwWGsvjgXf/qkEs2dLjR3umA1aPHkNTNQ194Fl8eH1X/5Utb+cclmPPuvoyF9uPidr/Rao60GaVwpJiwr7RHauKgIN12Qjc0fHAk71hYLNjjcArKSTVIiaWBcadXKifVfVbWiyy2EnFr+1A7/d5BGrZIKaP8mKBFUHG9PSotDeoJRtt/tlB3QnGyNiuIQIjHHQKvX4dZ5uXjgrQPSGuy6S/NRb3PA5vCE9FsbXt8nK34r7g+4+/W9WDV3ImwON3w+/8mm4r/dsrMcD101FU6PgFN1NuSlxqGstg0WgwYvfHs2WrvcSDBp0Rkw3gseZ4qv32R3IT3egKKx8dBr1HjgygKY9P5Cv4Enf99/ZSEsRg2a7E4AwOE6G17eVaV4Mqz4HOjwCCGnRP7uPyfQ0unCxkVF0GtUMOg0ijkRGxYUSCf9Ko1TwvVlFr0G3/9aruJ6dl/76I81dMh+n9L3TG/Fig/W2QAAt8zNgdPjRXqiGYdq29HhdGNWVjKq2rr6VcQ40rhGQQMlbMJna2trr/8wMTFxgJtCZ+tsTqpZMy8PapWqXxMTxRnxSLIYpFNixMHK1s8qZJ3xEx8cxhPLp8Pt9UKlUuGmC7JhMerwyLYy2d9b99JuTLp1jlTpordEVYptvW0cMhv8yT/B8VbT5sDBOn/FkxvPz0an2z/hvvLCHByrt+G62dmyia17FhSg3eHGH/7rf1iz6DUwBWwgFSc7f3ndDDy4aKpUDUP8szte2YOpGQlcKCUA/gnHwIfXcAlA4gKEwy3AFhDD4sBW3MQOQKrapfR7GmxO6UQCrdqJ7BQTrpmVJZ1IFzgItzncAACP1weX15/Q0Whzhjwsb1hQAI9HkB7WxER+o06N2y6bhEa7UxqwKw3E1720G1tXnae4ETyaK/zEinALLIExFbjYEhyT4nd98ImrgZv3dx6ql+JC6Ro/teMI7l9YiJOtXYptCaziIz5s/WzpNByusyE90Sg9KAYvmln0Gjxz3Qxs+dcx7KluB+B/GCxMj0eDzRFSLXBtaR70WrUUq0adGma9f6gqCD54vD5p8U3pPYgPgPcsKAyZiGLV84HVn4XBcAkkW1edH2aSQBdyXZ/44HCvk9KVTZ0hC96BC+0Ot4D8VAu8PsjumQcXF2HiaAvUKsCgVcOs02DjoiKpElhLpwtFYxPCTswGvkZP+7W4+4Pwk+EcX0SX/i5uh/t7gScbmfVaLCsJ3y+J/2sxaGBrCN0Y4Pb6pKImHS4PFhRnKEyKHcZ9VxaiKeik2wcXF+EHl+ThL59W4iffKFA82S7OqIVBq1aM5wabU7Evfv6jClx/bpaUtNzTjiO4rGDMwF6MEWSoT2yqbLbjSF2HLOYCJ1+VNir96vqZsjbeeH624oann149FT6fD4Kgwsa3QgtXPLp0GrJTTFh2zjhkp5jh8vrwk4ANCg8sKsQtF0/Ecx8ew8+WToMg+PDMdTPQ0O7Apr/LT1G+p7sabqI5tFiE0kYJo06NZrsLDy4ukt0vSuMlGpy4DDc3VTg2TrHPiTcqFwIx6rWo6l7gyk+14trZ2Whod8Lh9sLrQ0hcThxtlSVnvvhZJR5aPBXtDg+yk02y/lXczFHb5kDJ+GSp0ufOQ/W4fGo64k3yypk/vCQfgs8Hu8uLOKMOW3dVhtw/P1s6Tfbf4thUqa/dtKRYisfTSbrt77MA9U/wZ//Srircu7BQttFGXAy8fnaW4okPd7/WU8E/XOVqm8ONuu7nm+C5gsB41KqBzcunobq1C3XtDmjUKunP4owazMhKRGaSSVaM5/avT8KU9Dh8XC5PTt741gE8tnSatBgmjgsCF5JV3X3ohgUFaO50DXpRAsZv9Au+J8QFXqXYDtxou2aef0OauOC+YnZWSJGpJ7cfxsZFRWGf6Z/911Hc8fXJOFDrj9kXP6vET6+eCoNWA5fXi+9elCvbFL3u0nzZRqeNbx3Aj78+CQVj46Ux8ZtfVeO62dkQfP6NAXqtGkcbOqQNZdEoWu8Tq1EHj69T9t17+9cnwWLUItlsiGjbiHrTW+wSRatwcWs16qS/IxZbEDf0E0WDRLMON8+ZgEe753XENcjn/n0cNW0OrHtpN1Jumo3RcQbuA6Go4vH6FE8N/OX1M5GeYERWsvL6lPhMfbShAxfkpISsz9+3sBDP/7cc5+aMxq6KFlw7ewIAn/RcI/6ee97Yj1Vzc2DSafDdi3Lwq3+Vo6bNEXaz+SirIeQEuie3H8GquTm46YJs2Jxe3PbXnjktfyF0/7+paOrC+ssnocPlP5nF1J1IFpyEt21fjZSoAgDxAQWga9oceO7f5fjtN2ehRt+Fa2dnIWeUBT748L/nZeGPH1dKxaVWXpgjFR9EmHnczGSjYuHJurYujO1OVLIaNPB4fehye/HIkqkoq2lHW6cLE0ZZYNKpkZFoxmPvHYTL48Pa0jxkJpkB+IsXis+NSWY96tsduHnORKyaq4JJp8ZPr56K4432sJubp2cmQqdRK8bH1IyEAYi+M1fdprymf6KpE1MzEs+4iJwg+HC80Y59p9qgQs98kriucKS+A+WNndCogXMnJGNsggk1dn/Cw4ZvTJFO95FO+wlKEAm8HvFGDRZMz8ANz/UkNW1cVKT4vgQfUNXSqfgeJqXFwdKddB18+l6KRSftVXjl8yrpPhUL9wafLuQV/EkCv/tWCR5bNg0tHW44vQJ0GhUsBg3q2rqQl6p8Wll6ovJnXNfehdFxBqwtzcOLn/lPPDPp1JiSHo813clN4rO/xaCGrcsrJXuK7/+n2w5ibWmelIgyJ3cUbE439FqVbDP/lp3l0h7R/TXhk4L1ZxBzA8XjEWDo7h9UKsDng7Sx/3C9DU9tP4rsFBOeuW4mXB4vUuOMUKt9+KS8RTY+9p8+XKG4pvrUjiP4+fLpsDndSLEaYHd60OZwY2lJNk4227Hu0ny8t78GV80cJ/XbW3aW49n/PUf52iYYsaeqDY+9dwiPLp2GJ7fL93+JHG5/AjKAsOuyXgG47839eGzpNGkOujgjHjfPnYgulwfjUyx4YvlUjEkw46PyprB7JMTviGSzHi12Z8j6sF6rQorFICX9SPuC1VC8Vw7V2fDk9iP4/U2zUDplDG76nxz4ACSadPD5fPh/Qcl7j2wrw4OLimTJg2tL83CisQM+qPDYewexoDgDGjVw5/wp0Kh9GJdkht3pgcWohdPtRWWzHeNHWaFWq/xjQxVQ1dKFuy6fBK1GjaP1/oTRN7+qhkUf2YMIBAjocAmydU5xvvOBRUV4+toZ+PVO/54o8fO9+989n809Cwrw5DUz0NDehVvn5ePpHf4EtXCJ7MH7swKTZ8SfiTHQ3OGE1wd8VdWG13dXY9k54zAmQbk/qmzplP3ejW8dwJYbzpF+Fm7soVEDU9Lj4OrerxWylqdTY/W8XKl//ckVU2SJxuL8bW5qHL4XtI/rqR1H8LtvzcKdf9sjJW1+/+JcfHmyTfY77nljP55cMQMOtyCdzOs/ubEIC7sT2cXXSjLrUW9zyhJG71lQAI/Xh/GjLCg71QatRoOvTrZh8YwsHKptl+6JFz+rxG2XTZbuqZ2H6jEnPxUaNXBOViL2n2pDbqpVltS881A9Hr5qqixRX1xXuigvsid8ajXALRflory7qHLwutSKEv88/soLc9AW5nS/8oYO/PL6mfB4Beg0aqx/dR9q2hxo6HBh5YU5iDNqMNpqlNYDxJMpk8x6zC9Kx5adx7Dywhxo1MCs8Uk4UteBU20OWPUajB9lRqPdBRWUT3c+1tCBp7YfxZ3zJyE7xb/OK45P3/yqWjrFOT3BiO9elIMDNe1SMlWKRY/0BBNuDTqVWxw3LyjOkO4p8c9UKsCkU+6/K1s6pTgpSI9HWU274h6hDa/vw69vLIHDLSieFh6YgGnUqRFn0MLl9cGs18gO38pLsyq2IyvFgsN1yieHjkkwhnz3b91ViZ9fMw2VTV2yk3HvW1iIJIserXYXWjpdONnShdv+uqfXE+OHUuBeA3G9PVyCbW/fk0/tOILffqsEbZ0eLJk5DvXtDlj0GuSlx4ecGisW3n3u3+VYW5qHjCQ9Wjq9OHCqHdkpFhysaUdeWhx+tqQIf/y4EqOsesVrlGTW4bagEy/VKjWe3XlUelbpdHrQYnehrdOFlDgjjjd0IC3e/1wU7mTYzCSz9L0u/mzz+4el74cNr+/DL6+biaqWTjy4uAifnWiR9aNiYuVoqwEnW7tC2v7mV9Uh+2s2LPCfHLom6D4S90V0uXr2yAceZiQmFWenyE82Dfc9I/58665KbFoyFfU2J4w6DeINGpyXkwSnW0Btu1M2rnn4qqlotDnQ7vTigb9/ijvmT4naImNco6CBEjZirr76aqhUKvh8PtTU1CA+Ph4A0N7ejvT0dOzYsWPIGkn9czYn1Ty14wh+fUOJ4peQmIgnDpCUNjhteH0fNi+fjurWA7LqD06PAKtRi41vHcCt8/LQ6fLIjnkX/15Zbbvsi45VHqNXf0+RVRJu45DDLeDXO4/h3gWFsChs9hQ38gYOXFQqYPwoa8iA4oG3DmDV3BzceH42LHoNEi16xJk0KM6IlxKOxImW3WGqr1Wc4fujgXM2cTaQgiuKmXRaWUUdoGciefW8XLz5VTXiAvrMwIGqOLEzKS1OWgQKeUBs9k+wGLRqfHCgFrfMzUVNe5didZPbLsuHSa8NqeD57t4qrJqbg6xkM1Ksejz/nxP46HizLAFKowIeWzoN8SYtfvfv49JkQ1aY6ofiBEzwz1u6vGE/u2i5hgNhMN9LuAUWcSNu8GJLcEyOthqhUUN2epJarZI276cnGPGN4rHSJMqEUWbp54HVUhMtepxqC32gEyeeAzncAhwuDwDgwKl23H9lEW7p5UH43oWFwCcVOFzfgfuvLIRaDeSMtqLL7cWquTkQfP6qmGadBg+/cwA3nJeNrbsqceu8PGjUwIdH6hFv0OHu1/dizbw8ODzKFdUKx8bhyRXT4fYqn4I7EqueD1bs9rYwKAg+dOniURFwinzg2NDt9YZsYH3k6mLUKixOiqdrWcJURzbptWEnA8S/Y9ZrQybx7n5tH36+Yjpe7k7uXHdpPja/fxgtnS7cs6AAHQ43PF4Bt102CY+917NBRZx8Eye2xeqvE0ZZkGjWIT/Vij3V7WEnKUZiDJ6pwf4OCRfDKqhQ3l39q7e/l5sahzsvn4TsZAscbi/OyUrq9RQtjRoQBChuDPjV9TPx2NKpgEqFlk43TEGvl55gxLcvmACHS1BcnN3wjSl46KqpaOpwyRbgxVOR7vrbXui1Ktx/ZSHufSM0geXbF0zAj78+CZmJZsSZtNBpVPAKPowOUxG23ubfbBILldKGWl9xO1AnNvX3/qhrd8pOnb96ZiYcHi/WXzEFNa2dsgVdwB87jR0uWRuVJo6f3H4E//e/56De5sTJgMVBkcMtoL7dISVmiOOBwN9xz+v78avrZ+La2eNx35v7pU0NGxcVKd5LnS4PHB4vttxwjrQ5yahTIy8tDo8vm44fvdzznfLwVVMxMysRmYlmzMxKQr3NAb3gRPH4tGEzNh1Ig3GSWLi5qT/cNBvPf1SB1RfnYrTVALNBiw6HCx5BwANXFuGeN/x9XHaKCfcsKMSRug7kpcYhyazHzXMn4vH3DuL2yyYjPVE5Lh9dOg2/+bBc2pg2vygdNz/v3+C2tjRXKt4T7rT4j4814Npzs1HTFvr8JRaheGbHUek1gk/7PtFolz4Dh1uAqXsRucPhRmayGVtuOAdtXW7Em3RwuQWcaLJjfIrltJJug58FUuNGdiyf7Xihrt0h9YVxRg0mjrZCEHz49Y0l+Oqkv0qu/7kkH6OsenxR2aJ4rcQFLaUkto3dc1QpZr0smTQ4HsUKszf9/jMpLh9cXIQflubiF/86hutmZ+M/R5tCKro/+vdDWDU3R/F02cP1Njyz42j3PVUAl1dAo82J9AQjWjpdKMlOglrlj+tlJZmDPn5l/A6OgRw3B/dHYvGounaHYpXex5ZOQ1mtDVt3VWLdJZPgcAu4/tyssKffHKxpx70L/KfXBI93V5RkSRtDxUT7RpsTP35lr+JYYvP7/o1Rj713WPpZitWAPSdbpWTPW+flwefzYcPr8tMSckdbo/ZEymi9T7yCICVvAD39z+9vmoWK5g5kJ5sjvgmESElvsUsUrfqKW3HMt+bFL8NuZhpOazMUO7QadUjsPvbeIdx2WT4efNufTPbh0Ub85sNy7gOhqNLl8krP59efmyXNWZl0atz29XxUNiknmalVkJ1q+fIu//r8xNFWjE0w4tcfHsWlBemywuWblhQrPnsLPkibz5eVZOKp7UfDFrobZdUr/g6zXovicYnSCWziz+9+zX864oqSLGzbVwOLUSedSicmZj9z3QzsqWpDXmoc/vDfcswvSpfNmz24eCqyU0zSnOyaeXm469U9+M7ciRhj1OJUaydc3QWq71lQgOf+fQzzJo/BCx/7Tx+878pCNLR34cHFU3H3az3JEPcuLMT+6nbFdZPVF+ficL0Nr3xehRvPz8bLn5/EguIM7K1qw7TMRLQ73PjP0UapiOuGBQX4YH8t1CpVSILTtn01+Ebx2JDTEcckGDEnbxQ2vVsWkrD7wJWF0GpU6AhzamOH0zNgMXgmRlkNYRMjTjTZ+1VE7pnrZsDnAz461gizXgvBJ6CyuQt3vCI/efGFjyvw1A5/fI6OM6CiuROCD/j0eDOyUsxItviTJw8GJB/0dtrP376owi1zczA20RyS+BMuqdPnA14KSNgU27dhQQEefqcM37wgG+svnwy7yytL4owz6iAIAr59YQ6aOpz416Fa/PK6mQAQ8tob3zqAX1w3E/mpVpxqc6A+YH1FjNdxSWZoNL6QgnEbFxWhtcsZ8vMNCwoQb9TCoteiw+jCrfPyZfdA4Dzeupd244nl03FYYZN/klmPzCQzDtXZoFEBafEGzEpOxmirASu2fBwyDz/p1jlh9/fUtDmQHcHcuT2n2lBW0y6b5wH81zkv1Z8cUNHUhdV//gK/+t+Z6HR54EPo+qqYtBBuTV6tVkGn0eBIvU3qJ+5dWAidWoVJY6zIGZ0nFdUT/829b+yT+inxBLGJ3feSIAhS0oT4b5Riddb4JNx5+STkjLaGnFQqFgb8wSV5sBq1uHlODlLj9NBpek4zzk4x4d4Fhahtc8CgVaOty6X4OuIJ0lkpJuw/5cGWnfKk+cnpcfjuH0MT635zYwl+trQY1S1dsvj+4SX5yE+1ot7mP2XsRwFzdPcuLAxZt6to6kKcSSft9fH5gOc/qsCykky8vrs65FSxBxYV4Rf/OCJ9j9y7sBCNHQ60dblhd3jhhQ/HGzrw3H+Oh/zbexcWSnunIsXjhZTsCcjnOz870YLffFiOexcUYsyhGlw7ewL2n2rDrfNyoVap4Pb6MCrOAL1GjUSLAXEGDf7fhROgUqtR3tiheH31Gvkcm8MtINmsw1PXzoDD7cWYeAM6nR6sLc1Fa6cLqfEG6DRq3HxhDtxe/17tjYuKZMldDywqwhPvHw75vbVBhSqV2jNjXCIO1trw4meVIclrDy4uQpxRi73VbfjBJXmw6LU4XO8v6KdRQTqBXK9VoTPMyZlNHS4snJaBVz6vAgA02d2ypBhpvKXy4S//71zUtDlgMWhxsrlTOkk0sE9dVpIpJXuKr/FAd5/x8LtluO2ySTBqVHj4XXnBC6tRgxUlWdI4IjvFhFvm5spO5Ft3aT5aOlwhxTIykvTYcsM5/lOAnR60dLrwg9J8dLkjO16obXPi/jf3S4WaA/eEBn5XiweXKF3/6eMS0drphlmvgdWohV7rf4araXPgF/84ijWlufjJaz33h3gASuDv/8U/jqI4Ix5p8Ub8LKBA0P1XFuL13dVS0Y7gAiDv7q3BHfMnITPZf3J74HfsvQsL8ZdPKrr3k5twrMEecvJhp1t5HCf4APE2Czzt+dwJSdCo/OPAwIThh6+aCqfbgwcX+/tnr+DDOdlJaO10K/5+u9MDo06NmjaHdFq4WCzjifcPSQdgbFoyFRXNnRibYMTYRBOO1ndICateQQg53fuu+ZP932NpysUngk98FtddlNYW73tzv2xtceOiIjx5zQz8eufRsCfGDyVxr0GSWY/xKeaQmBLfR29jR8A/hjrR2Cn7Pt64qAj1rZ2yBFtxX6NB6/9dL35WibR4Y0git/9zm4i1l+ThD/8tD9mD9cCVRfjDf8tl+3Acbi9aO11weXzw+SB7VrlnQQGabA5kpVig12rw4meVWF4yTvE9OcPslRXfQ5JZD6/Ph5zRFtS2O2X3w13zJ8Pm9GB0nAHpCUa8/HlPfx445slMNOJX/zsTX1a2wisAW3Yew+qL8xRf1+HyoMPhkfbDi3svxMIqG74xBXEmHX55/Qzc/+YBVDR1hX3G9fl64jWwX193aT7GxBtxtKEjJIbXB+xLXjMvD5u2lWHymLio3JPJNQoaKGETPsWEzrvvvhuXXnopLrroIgDAv/71L2zfvn1oWken5WxPqimraQsZKGxYUIAOh0uqRHL1zEwcVDjS2eEWcLC2HVfPzJSddlTe2AEAWFGShad3HMEjVxdj05KpMOu1suo2gZUnxEkInsQVffp7imw4wbEXWMlkT3U7xhyqwaq5udh0dTHKGzukiZcUi39jXGBVCABweYSwA3NxIvjhdw9i1dwcXDM7Cw07jkqDZkEI/7Dy5clWaUAba4tOw2Eh92zjbKCp1SrkjLYip3vzZ/Bk+NrSPDz8ThlaOl342ZJiCIJ/kvfZfx3FpO6JNoNWjc3Lp6GiqRO3d5/8oTTB98yOo0hPMCI/zQqPkIr739oftjrcmASTlCgv/kzc6HyozoandxzBqjk5mDUhBQfrOpCVbJI2dmpUKuytaYdGDfzv+ePx9lfVWDV3YtiEv/QwFcCSTMqzwdF2Dc/GYL8XpQUW8aQMo06NRxYXhJzkIMbk+BRL2LaJm/evPzcLT3xwGElmf61Gg1aD9ZdPgg8q2ff9vQsLMWlMnOJCxJadx2Svb9SpMSbBiHf31mDquETYHMqTGOIE+/1v7sf/3XAOPj3egl/+8ygWFGfguX+X48HFRZiVnQSb0wOjTgO314drZ2fhL59WYv3lBTDr1dh5pBFTxsSjotGOiqYuvPBxBdZfMUUxHg/W2qS+W/wMxYlno85f9fyjY41IizdCrYlsFcChMJixG+7Ukawkc/drhi4Git+/yRYDpmcmYcsNJdhT1YqsFAuSzFrsOtEiu67pCUbc9D/jcftfv8IPLskLmeBbMy8P1a3hJ2/EuPb4fIrxeaCmZ9wauFn4gbcO4Nc3luDJDw7hu1/LxaNLp+FIvQ1eAbL3UZyRgMwkM+4JmCgXk5vFdgS3a6TF4Jkaiu+QcH3vD7buRkunC5uXT8dEg0bx721cVITn/1uOSwvSZScXKfU7Ph+QnWLCrPHJ6HAoTyg7PQI6nML/Z++846uqzz/+vufumb1ISCALQgbTWUQFRbSRoYirbkttRXC1jgKWoXVV66zaWltXHVVRaGtV0KI/JyB7JQQSErLn3evc3x8n5+Se3BsERcCW5/Xqq+Zy7rnf8/1+zvN9vs/4PGg0GjpcAUbnJqrwc96YHNo9Ado9gbjfT7IauPava2LeuUdWVnHr5GLFkdjtCfCny8fR5Q1iN+nY1thDZUU2b6yrZ0pZFnf/a6sqiDZvUmFcHAfDIm+vb1Ds9B/q/n6o5UBweyg6Nh3M++HuPTvFK25bOr2Mn5+arwpmzZtUhDcQ4jfnlipM8/3PXyAXYIZZ8PZmrj0lPy5ORgxyKEVLAwXc19Z1xRTOLXh7M/MmFeHyh1UMnfVdXmWPX1A5ArcvSEG6HbtJS0gUVQQSKTY9YRG+qu0gw2Hi+CEpVFVX8d625v8K2/RQS26SJYatcen0MnJ7mfC/jQzkc/IEQhh0GgSNhruWq4tvvqxp58GZI9HrNDh9IaVbu/zvEVGksiKb+k4Pqfb4Beka4BenFZKbYuGXZw1TsU5LnRtHYNIP3C1e7tI40PlLZsiWr5cJdWQCiAy7kTkTC5XC+4qcBG57Y5NCLmHRC2gEgV/+vc9Ouu/8igHPWgMV3UafT/+X5VDYC1kJElvqK1/Vccnxedzwt69V5yCdL8i0Udl0uHwI+wl4D0owY9ILA+q7wUkWzAYtdpOWP10+jjZXAJ1Wo8Kj3BU8Gpfzl23myUvHsHRaGT99Ye0BY/OBmSOpbnFi0mtVLM3RAbIUm4G73tmskPIN9GzR9uuh8C8dw++hlUNtN0eTAGQlmBQG7l+cWjhg4oJGA5UV2XR4/OSlmMlwmOJeqxUgO8mCXicwJNWiCs7G08tyof3+bIk0W19nSZNeSmwNiygB3sdWVTFtVHaM32xMbtJRW/AJR+d70u2NbxP2eEM0dXv5ZFcb4wtS4xZ9/jf4qo/JD1f2h91jckyOVtkfbp/+yVg2NnSrCgOGzz2FISlWRdem203sbncx5+WvD4l9cEyOyYFKm8sfF7sZDjPQ2/2nN3nyWB7IMTmaJMmqZ9bYLM4uz+brvV3s7fKyfEMDFx2Xi9Wg5cPtLTHFDQsqRxARRQYlWrhlcjHJFgPJFj3eoMiuVhdaQcOlJwzhZ/2KbWpa4xd2yN2JxAiUDnLwh0vHkOkwMjjZovLZzZ1YRFWzM+49itNtfLqrLe57qBMEle8rekwPvicRSb2+Riqs/PlpRYpfTr5m/rJN/OWq4/h0VztmvZawGOH8MYNxmPVY9AIF6XY21EvkO/e+u425k4r52xd7SLMZmDupCE8gTFaSmdZuH09eMgZ3IEyqTepcvbczvh8xEBYxaAXuOKeE5z+tYfaEAlWh39yJRSxb38BlJ+bxwue1LFmxleevPp7L/6wueB3oueUC2wSTjguPy+PVr2qVLjWDEsz8+ZMaPtvdwV+uOi5+joTlSPZIlAr+Fk8rU8UoZT/7yQUp+yWR63BLHXN2Nrv48WMfq+wFudgTYn2ghWk2tjc5Vcnj8yYVkWDS88jKKm48o0jpiDYswz4gSapcVNETJ2b22prYok75uTo9AXq8QWZPyKcw3UaK1UCPN8iiqSPQaDTYjDolJiH/nozve15d3+v3LufdzQ2cNjwzLu421Hcxd1KRgpHoey1avoXfzxqF1aQjyaLnj5ePQ0MEf1ik3enHFxR46j9S56bBSRY0Gmhx+rjnn9V0egIsnV7OY6t2Dji/vqDUKMNi0Kq6Na7e0cLZ5Vmq4oDiDAfAgEWd25p6GDRAx9E0uxE83wp2h0Saenx8uL2Fh2aNYnuT1Int812tXHdaEXvb3Tw0ayRNvcVcNqOOfV1eDFrtgL6mgXyam/d1xxDkLVq+hT9eNo4IEdpdvhhS1NU7WshJMvHclcfR0OVV6d+FlSP4bFc7pYMcmPRC3K5tt04exmMrd3L1+AJ2Njk5MT+ZP142jqYeH5kOE4+s3EFDl5/LT8rjuhfXUpxu445zShTcVmQ7uPD4XKUYWb7n4qkjaHcHSbYYFPzt6i0KancFFfJqeV4eWVnF7y8cFXfOvtzTwZjcJH61Uv2uP/zBTv50+Ti+3NMRU1CxKKooKHqOrQYtr6+RCvTOG5PDxcfnMmpwAqWDEpjXj4x74dubVViX84fW1rYrxU1DUq3cPqVE8WNH//6zV4w7VBD8VjJQjF4rQFjsHeeKLTxz2VgeXbmTy0/Ol/aTRDNvrd0r6dj3+3Kzlk4vo8Plx2zQxhCQy4TOWQlSfOi8MTmY9QL5aVYVge6iqaVkJ5ow6XUkW6Uuc03dPuV38lLMPHHJGAJhEZNOINGip9MTUD2DSS/Q4vQreThvrK2PyclZNLUUg07yVd46eTiiKPL4JaPx98aK0+xGbntjY18XcX+It9c3UFmRTUQD6QkmbjqjkHBEM6ANs63JybOf1LCgcgSZDqNSnCm/my9/WctPTxlKmyvAvFckfMhdJPvrVLk5RtwYoqZvb5g3qSjmu09fNpafRcUVKyuylWJP+bqH3u/zWUd/9+VrT2BHW7cq7n7n2cPJS/n2sdZDIZ7eOL/LF+C6CYWqnND+PvflGxriFPSWs6fNxRMf1SiE47ecOYzfvb+D2nYveSlmhmXYY+a7f7xsoAZTd72zRdENz39Wy+wJ+QzPdJBs1fPal3Vc8aMhGLVadjY74+qmB2eOJCRGcPpCuHxBVTfDl76o5f7zR8atUxA0UJLpIC/FzNUnD8UTDJPhMOEPRli0YiOBUITZE/LJT7WRZNGxo8mJCKAJsOQf25T5efKSMXExva/Lq+xzRp2AXtCQZDWyqb6bn04o5OR93ZyUn8ymXuKTO88ejlYrxNhYaTY9T1wyGp1WwO0PkWjR89B70l4SL39uZ1NPTJ7Ro6sG7kodHVtc8LZEEjNzbC5uf/CQYfDbikzYe+XJQ5SiznhxotfW1MfkOUR3Ub1gXI6Smw19z/qHn4zlrhXbVN95dU0dhek2KrId/Py0wpj9SLbblqzYypOXjOH8sXk0d3uV841O0PDsJ7v42YRCLjtRS3WLk1S7idp2Nw6Tnp+fms+z/7dbpd+eXr2LaaOyue7FdZj0UoF7klkXs76/PGvYgB1Fx+Ym8ucrx6JBajBg1BnocPm58YwiQuEIYkTSxX/+1zZlD1k8rYzXvqqVbHmzXpW/vnhqKccPSeLz3Z3SmdjYZ5vKhbEmvUC7O0Cmw8SdZw8n2WpkZ4uT26cMw2LQqQqmbz6zmHmTimhx+jFqhbiNCl74vJZLT8iNiRPKOlcuJI+WaD0mr83R2IRDFCPHYhTH5JDJN/aE3bBhA0uXLlX+PvXUU3nwwQe/10Edk28n39SZQQ6uC5r4bdC7fWHeXFfPnNMLyU40MyjJRKcriNkoXfvStcdL7Dp+yXBOMOnJSbbQ5Q5gNenocPlpcweU+8nsRIOTLNz/7+1UVmTzWU27cqi+q7IUw7o6LjlhCA/8e4fqWXzB2ELV6OQAk96BKEaOBacOsxxoF9mBpD9GG7t9vLqmjkcuGo2ggR5viJ88+6XqkFuQZsXlDxMIhTEbtIzLS+Ca8QVotRocJh23TRlGssWAxaij0+PH7Q+TbDFw7Sn56LQaxUBdvGKrkvSWZjeyt9MT1wmzsHIEr3xZ962e70jLf0uR3XfF2fcp0c7w2nY3X+/t4vnPpEPCNePz8QbDtLf6Kc12MHtCgcrx+siFoxVjvLHbxytf1vHEJaPxBkTCokia3ciiqaXYjDq6vQFOyk/BYtCSnWhRWDNlMeklVq94bDM7mp1K8nyKzYhOAw/NGkmry8/9Mytwev2EIn0O0I31XUwbncPPXlxLksUQl5GrJMMRt0DBKkrMXP2TtwQNR+0aHqx833gcqGPn6NxE0u0mgp37Bnx/BxpbwhXjMOm0vUyxYYrTbVx4fF+XjXjOr0XLt/DbGWUkWfRcMz4fu0nHcUMSaXMGuePsEiwGLVv3ObEZBfLTbHS4g1x9Sj42gxZ3IBxjV+SlmCnu7XwL4O3tCHruyGwlyDN/2WaevGQMN7/W957Mm1TEtePzSbDoqO/0YtQJ7O1wk5Fg5q5zS3hm9W7u+ee2GJzKhVby88iBOtnmWDq9jLmvfK0cXu+dPoKi/3I74lBjt/97Prkkg3/OPYXmHh8Wg5ZAWGRLY3fcLvIyq9I9M8oRNFDf5WHB25u4cFwuv/r7Bu47rxyTXqsK4l1+Up7ikP7rp7VcNyGfB2eOZF+Xh8xEC3va3GRY9fzp8nE0dHmxGHQs37CXC48bgkaIcGrx8XR5AthN+hgdmpdipiTTQUiM8NjFo2no8jAo0ayM+as9Hcwcm4tGAxEijB6cSFWzpO9kB4dRr2Xh21/HvEcPzhzJ3f/cFuOA+V/E4LeVw2EHDLSfy8Hnm19bz8tXVKiua+7xoRM0fF3XyRUn58ftLte/w9aq7U3cfGYx2/Z1M2JQgiqBXg5q2406/vRxDScVpFCYYafDHeCFa46n3RkgIIokmvU0dvmwGHUKlqO/n2I1cNtZw2j3SI7XV9fUKcXMiRYDD77XF0BaMq2MTIeR2nY3Tp9UUPfTCQU8+J50Vot2oL22JjaoM29SkVK8JDvefqj7+6GWA8HtoejYtKfdzX3vblPZgDJb3ZAUK169g892tZFuN5HWy/Idr4hCZnbvj+GnfzIGX0jkj5eNo9sbJDPBSF6KmcqKbDQasBm1WPRarEYtS6aVkWKVGEvX1HYiRmBnUxdX/aiANldA6fIMfUkw543JwaiTApPhsMSIHI1ZX1BkUKJZxSIuM3TK45SZm69/eR2zJ+ST4TDx+hrJDs5KMGHWa/nZC30B8YdmjSLLYvuvsU0PtdR1enisd6/WaCQm5sdWScUw39ZesBh0cX1Og5MsLDq3lLt6O7/KGH7lqzoqK7KZ87ev49qpj6yUmKe1bW6+qGnnZ6cVqO4vF1z6QmEMOg0dLj8JJj0PzxqF2aBF27ufO0x6/ni5xLArs0vmJFnw+EO0uf2ARBJhM6qTauQCzmgWaTmYLxcM9teVFr2WrY09yr7y0Ps7+eNl4/jpC2tUz3bbGxuZNymW2OJgi8H/F2UgvTvshlPQaIgpLIq2ZdPt0pmrptWNLxjmgrGDFTIc+V6yrnniw2rmTCxEjPjiBrwXVI6gsdvDkmll1Hd6VDoTpCB5m0tiRh+cZCHNLpBiNdDi9POXq47DEwhh1heSk2RRdRvNTrSwu00an9ibFH2g2JR9ArdNGc5vppayZV+3opMbe5M+Hrt4tMo+jucf62+//hD9S//tcqjtZpmc4r53t3HL5OFUtzg5d2Q2bW5/XL1e1+lViB/vqizhjrNL2NbYo9r3NRopaevE/CR6vGG8Aclvu3R6GY+tqqKyIpviDGtc/5aM9YGwbzfplLHItun5Y3NU51Ax6v2Q58gTOBZEPVgx67VMHpHKpScOpdMdJNmq58XPd2PSCwzLdLC3w8WnNe2ML0xV6Yj/Fl/1Mfnhyv6we0yOydEq+8OtoNHw5rp65ZzhC4p0uP1sb3LGkJrJRRb97YNjhfjH5PuSgbBrNWhVZ+WsBBON3b6jMhHvmPxvitUkcOqwTL7e26UUndx4RjGtPT6SbUZmjs2hxxfivvPKSbQacPpCtDl9hERURTlygcbzn0mFaYunlXHS0GRmjB1MIBQmw27CEwzx4MyR7GxxKr+VbDHw1OoaTHqBIckmUiwGmp0+gmKEoakmqQjRH8JilBLVW12BuOS9i1Zs4dyR2XHPbiMGObjxjCJk31e0+IIieclS4ereDg+eQCimCEo6gwV5fU09l52Yx+O9fty8FDM3n1nMrlY3YgRsBinOt73RyR1nj6Cuw8Ocv32t+OGifV/3zCgnL9lMTlL8HLeSTActPT7anT6uHl8Qc/Zdtb2JxdPKaOr2cd/55Tz3ye4Bi98E4icIixHo8oZ4/MMqJV4ZHUu57rQCBCHC/TMrVB2XCtJtWA1H1p4cnGSl0x3gwZkjcUfho9MTINVqjLvfg+T7beqW/FR39utWN1DjB42mr1DwV/0KQmW/bXG6jbxkK9uaegD466c1LKwcQVWLi0BYVM7xJwxJptsbxG7Wsa62M67/wKiFF645Hrc/THOPjzaXn/JsG1ecnE+HO0hushlvMExTt59kq56WHi8pdhMtTr/K/yWPMbqYYf6yTbxwzfEEQ5G4iethEUJihH1dHpXvWR6fSS8wf9kmxVc2b1IR6Q4jgxLN/HrZZi47MY8Um1HVVVL2V8xftknxNfafX+gjXtOgURV8yOTc0fO0s7mHhk43Pf7YHA2TXmq4MTTFwhOXjFGKsZdvaOC6UwvRH2G7LzvBROXIQTFEux0uH0NSrTR0ebEadexpc6HV2ki0GBSi5/7POWpwAvUd3phObDLB5KMXj8brD2E16fj5qfksfGcrnmCImlY3g5MtLDx3BPf2Fj/kpUjd46587islryEa64tXbOXpn4zlsVU7lXyGdzc38uDMkYiRCEkWA0kWPdlJZix6LRU5Dna1uGjo9W/Vd3q44uShGHRazL25BpkJJnzBMNeeko9ZLzAs086cl79WrbXTF2RYho2F72xVOnDlJlsYlGjm72vrEQYgSbMa4vvSTspPocUZn6Sj0xMYsKBieKZd1el58dRSTHqB3180ErcvzPr6LgJhuWCoQCmKj+6cbdAJih3oC4p0eQKqwkCTXktggA6QHn/4kODv20qiWR/Xzh2dm8Sdb25SxhmJRJgVtZ/kpZi569xSqptdSsdPjQZMOi3ZSRYiQHaiidkT8tEJAkNSrezr8tDuDvDgBeXs7fApBL0mvcBtU4YzKNEs5WkbdSRZdHy6qxOtACfmp/DSF7Uq/Gys7yLFaqDZGSDBpOXuGeVKp9L+RVEPXTCSxm4fZTkS8YTLL5EzCIKGDleQZKuBpi43GYlSMWWHP0Cry6/soe9ubqRkUAKPfLCD+eeMoMMTwGLQsbfdTXaShef+rwa7UR/TeXTJtDLS7AY+3mljyYqtPH7J6Jgur3MnFpGXYuH6qPcjO8EcFyslmQ60Qvy8+EjUfpDcj7jBF5QKb6K/MxAJYTx/szcYjinkevb/dvPAzIpvC7tDIg6TRGySn2ZnT7ubcUMSGZxcxitf1nLckCSlGPLDbU3cNqWEmlYXD8wcSWOXh5xkK3/+ZBcnF6YxZ2IhYVHE7Q8TIcIDM0fS7Q1iM+ro8YW48+xhBMIRfCGRJLOe568eR0iUOlGm2Q3otRoau/yqgkxZF+Qmm7n97GFKYVqSRY8nGOKiE/LY2+lR7OZ4a7Gzpa8pxF3nlmLSh2lzB3hoVgXegMiGvZ1kJVqobXdz8+Rh2I0CvlAEo06g3RXg9xeOotUZYE+bC71WYGtjDwsrS2no8tDiDPDwBztYOq2chz6QYg1/+7JatcZPflTF3dPLlQ6nJr3A/B+XYDZoY3w0D72/U+lKn5NoIiyCyx9i/jklFGXauOLPatKKR1ZKRchb90lFofIecNlJQ7Hotbz8hVQgW5BqRa8VCIRFMhNM3D+zgl/1Eg9rhb552987If/m8Ew7f/6khtumlHyPqDwwsRh0XH5SHg9/sJPidBt3zyjDqO3b21bvaOGU4nS0AtiMUoFkWIxQkuVg8Yotim03NNUaFztf13Wq5vvVNXXcd34FXZ4gv5wyHLc/foFebpKZa0/Jx6gT6Ojxq4q8bzqjmKkjszHqBZz+IEUZdva0uchLsdLq9JOfZuNnE/JZ3K/QVBBQikxDYoREs56CdIE/Xi7l6zhMOnRaDXe8uSluncPzn+7h+PwU5ayVl2JmYWUpLl+Qxm4fEWBbYw+3TynhDx9Vs7Ghh4Vvb+aFq49DqxH4qKqVX5xWyNBUKw1dHhq6vOSnWTkxP5FgWMqPsxi0RCJw85nFtLv8JFv02M0GdrW6KEy38dtee2rupELufVdNRPHQ+zul7uOZdjQaDfUdbm47axhDUq24/WHqOz0Mz7BROsgRV0fIOveb9LpWgDRbfDLtIyl72t3HYhTH5JDJNxZ8pqen8+STTzJ16lQAli9fTnp6+vc+sGNy8LK/jiHRwfUkiyFOErrEJtXY7eOlL+q4YWIB62q7eOWrOhZPK8PpDWDQaej0hFTGv1xg0emRHIujcxOZO6mQk/JTuP3Njcph76YzitEQodsnHcJ8QYnd5vmrj8di0MZlkYnuZhA/OUA4lhxwmOVAu8gOJPEwev2pBbS7/EQiEYUFRb7v/GWbeXjWKG7qxe1tZxVx+clD2dvhJjvJTENnKIZZ6NlPdiu4W1A5grwUM1aDlmvG5+PxSwk9DrOe1Tubaez28e7mRoVVJSxKzBkXjsul1RVQDIfmnh9G0OloLpQ8GPmuOPu2IooRJUl+f4FumWm/ucfHoyur43ZNevzi0UrRkjz+LY3dKsfw5NJMur1SUEgQBF74fA8zxgxm7itfqw4DjV0ebjpjGE3dXv7aq29/d8FIenxBxdEo4/2tdXsVFtBHV1Xx4MyROCxGhRVOdphEImGVo3jp9DJ8QakQ9YXPa5UD6rAMOw++t50xuUlxCxR27OiKq5/vmVEel7XxhxjA/b7xOFCChdxtYlvbwM7Lgcb2WU0Hf/q4hjvPHk5xhj2GeUhyksQG6ywGHVaTDq0Axek2Gjq9/O79nYpD7aShyfx45CCujuok99vzyslJNHPf+RXUtEqdmQ06DddNKFQFxhZPK2PFxgZFP8vOw/X1XTFOi9kT8ml1+RXHzMLKESxbV0/54ERumVxMc4+PVdubeGjWKLSClEiwfm8354/NUR36SrMSeO7KcSRbDMx99WslodkXFLl92VYqcmMZTv+b5FBid6AkzcklGWxvcio6Zu6k+J1fhmfamT0hnwf+vUPRYbedNZztzU5umFiIGIkoTqo7zx5ObooVj18KKsuBgESrAbNegydo5Fd/38BJQ5P5yUlD+HJPB2IEWrrdTB01mF0tTuxmA79Y/rXi9IrWoQadhp+fWhjTmVGr0XB6cSqf7e4gLMJvlkssjDuaunn2kxrmTSrijrMlNiqLUUubKz6TIxp4YGY5dpOeYRl2rCYdVoOW619e9z+HwW8rh8sO6L+f9/+9Tm9YuS43ycK6uk7mL9tMksXAjWcUxR1jdoKZ311QQU6ShQ17O/nphEK6PX4GJ1vZuq9bSWy/+uShtPcGzjY1dHPh8YPZ3ebhFy+tozjdxsUn5PHh9kbOHDGIBe9tprIiG60ACytLefWrPYwanKLYHc+slvApB+sWVI4gLErYruvwqHSszMyXk2RhxcbdKp0sRDl8QSJmef6zWp65bCxhMUJVs5NAOML5Y3MAdWHpD3F/P9RyoLj9rh2b2t3+uIGuHm+Ad7c4VR2W5/+4hMW9BUjfFJCSkxb84QjtrgDzVkjnr+tPy+f604pY+M5mitNt3HpWMc09AWb3MpzKrHypVgOZCWaGpFi46i9fKfr35jOL6fEGWXzuCNo9wRimyeW9XebDYl+wYVerS4XbRcu3cOvkYjY29CifyUE2MYKqKOu8MTkxzNv3vbuNu6eXxXUQH8OuhN3adq8q0QT4TvbCfe9u46YzilXd5OdNKmJPhxurNhKD4QWVI7AZtMyZWIhOEOLitccXoiTTwUn5ybj9IeX+0QljSRYDPz81H19IVAor5SBfusOANyQSIUKmQ2IUDoqoCHrumVHOuLyEmKSaeZOKyEky09LjV3XwLEy3c+c5JXEJAH511jCcvrDqGToHYIF2B8K8sbae2RPyKc+yUZCRQG6S5VgS9jfIQHp3W1MPt77et66yzdq/y2+0P3PJtLK495ITuawGLVajjouOy+WVr+q4Znw+WgGGZzp46qNqJgxLx2bUkmI1cP1phaoEowdmjsQXlLoiF6fbuPTEPBVz6dLp5dS1OxmTl8jlJ+WxclsTM8YMVmFz6fSyAbGZ7jDS6vQryTJygEvSf9tjyCjkblBy0C+6OHXV9iZenX0ibV1OUhPtSrGnPB/3vbuN7EQTnkD4GC6PEjnUdrMgaJhckkEwLKrO83dMGR6j12WixzkTC1m9owW7WY/LH+K1NfXcMWU4nmBY2ZPH5SWQnWhh4Tt9yTx/umIMcycV88WuFgrSrKzY2BBl847g2U92IWgkGyUe9q0GLUlWPXMmFhKJoHT76B/gjRaZICASgZpW1zEMH4RkOAycUTJIYbmXkvvKSLYauP7ldVx/WhHdXh972t0q7P23+KqPyQ9XBsJuuv3IdmQ6Jsdkf7I/3M5ftlnqOhUI0e4Jou1NjO5PDPXKV30+G+izD4akWFm1o5mN9d1K0Up5TgITh2Uc1XvisSLVH4YMhN3MBCN/umIc9/9rOztbXMybVIQ3GMYTCCs2GfBftcYyZvcFrRiP2Z1HvQSC0ONV5yr5AiH0WoFbX9/AoqmlfLShgTNHZHHbm5uUWNjb6xuYc3ohmQkm0u1GujwBMhPMLJ1Rik4jIAgRpo7KVp2tbjqjGKtRqzrf3HRGMQadhkcvHkW3J8Tlz/WRoy+ZVsbjH1Ypfvy7zi0lK8GIVhD43QUjsZl0CIAnKFLb7uWNtfUxZ7ffnldOc7eX7ESL0hWmf4Fdu8vPPf/agUkvcPf0cu44uxhBo8XdWyh10xmFpNr0XDBOIhaUv18+yI5ep1Xm7W9f1XHRcbm89EUdgbCoPGc8n+2db23i4VmjpI6g/RKX755RjtsfYMu+TmaOzWNfv0LOimwH54/JVekbmezyvvPLSTDraezyRu2VQtwE4eEZdtIdRm6cVMQdb22OG0s5MT+ZHq+6y1GPN4j6JH74JRQSqWpxq4pmFlSOwGHS0erysaPZxS2vq2O6Bp1G6QAeL547UKdEQQOLppbS6ozvg3D7Q1x6Yp4q7rp0ejl7O9wYdBr0Wi23TRlGhsNEIBQm3WGkzeVneJaDRy4cSU2bR5WgvnRaGVXNLqXTkFww1djtwxcIsycictsbmxRfsMWo4+cv9hVfR/u/+hNUr97RQnWLW1UwLXd0unBcLq+uqUMrSI0MxuUlcNqwDDIcJjrdfgLhCOv2dnH7lBJe+6qOEdmJeINhjDotep3AdRMKWBTVHUn2m/ztyzoevKCCDneQJIuej3c6lFiHSS91v547qZDCNBt6rRDTTWrJiq3MOV0qFIt+T5ZMK8NkCKmKp/JSzNw2pYTGLi87ml1KUa98/ftb95GbbCb5+wTnN0gEFMJn+Rkf/7CK604t5Ocv9a3jbVOG09jlY+k/tsXNcX1gZgVdnhD3/Gs7SRaD0tUv3W5kze42ppRn8bteslutAKNyEpk1Ngu3P9yv+LyMDIdUeNPi9PHwhaMIBMNxc2m6vEGu/NFQHvi31B3QYdZza5SOXzS1lJc+r2Vni4snLhlNhyeo0vdLppVhNWjp8YZIMOvZ16Uu5ltQOYKThiYz67hctvV2P122voHsJAt3njMcb0BU6fe7zi0l0aKP8fF+vquV+i5fjC8t02Hid+9t54qT81Xvuuwv02sFygY54jYjsBh0LJ5a1lsYLaLRSF3Eur0h5i9TFxA+s3oXV52cRwRNTIzougn5PLW6BoNOQ1aCmbkTi6nrcCsF0k9eGr9bXpJVf1jwOZAYtHDuyBzW9pLfatukv5MtWoVY1BsIYTXqqO/qUop4bQYdi5ZvUXA4MicRbzDEra9vIMli4KYzCvEFDRSlS0Vxb66tI81hRSuARiPwh/9U94t3bufhWaN46YtaKiuy8AaMSs7gM6truHtGOUkWHTpBoNsbJKHXX5udaMblD2E363jh6uNpdvqxGLToBXhoVgXdXqlzIMC62i7VO3LXuaV0ewPc++42bpk8jI313apupTedUczLX9aydHo5Wg1cMC6XG6JyHudNKqLTE+DXPx5BVYubxz+s4tbJxaTaTNS0uZQiuMVTS/GFwtiNel5dU6c6367a3sS4vBJunFRMXoqFe9/dppBcROcTWU06DHoNDVGF4HK8enCShRanRBzc6ZEKZqNFLrqJh7949kNFtoNTitMVWwoiXHbiEFW31lsnD8MbOLLFyiJhxg1N44rnvlTiqe1OD784vUjB8/INDfzitELue7ev+9/dM8p5/as61tR2c9mJQzHqBYJhkXfW7+a60wpp6fHj9ofocPkYmmbHl2CmptXFG2ulfMFfnFaoxMHyUsxKrkH/vbrTE6DV6UcraBRCkei9ee6kIk4uSCEQEuOuRVG6ndOLU5kxdjDeQIhhWQ5G6gRq2z00dXuJoImJAydYdGgFDSk2A/u6fDhMenJTrITECO9taeLxD6tZUDlCyWEIRUSeuUwiEy4bVMK9UfP063NKyEo08uDMkfhCYRJMemwmLXs7vNwwsZAXP6+jsdvHIyurmHN6IVpBQ5rNSI8vyLXP98WxF08tpTjdpmAKpH2nufe7SRZDTF7y0ullGLTgD0W47c2+Z1xYOYJHLx6NPxhWip/jEb7Om1TEvzY1cv3phQqObUYdP51QgDd45AkzxYhIVoKZ4nQbV/xoCIFgmNp2j0Iyc9WPhnJHlJ0j2127Wpw8OHMkezu9pNkM6HTxzwHhKJM2K8HEheNyufK5vtzqxy4aHfd77kCIx1dVI/QjsE6yGNAQwWzQqfJolk4vo7HLgwhSR8wEEw/NGkljl490h4nGLg+jcpOoyElgb4eXBLOecESkxx/BFwiTYtUBUjfN384oR6uFRy4cTVWLk9wUK01dHq4aP5S9HR6WTi8j02Giw+3n+ihiogWVI9BooLbdza/OHk6b009Dlxd/KEyz0xdzNk2zGXD7w3gCIk09XlKtBrRaQcmDl3OA7313G4FQhAvG5TDn9CJanD60gibueWFIihWdoOGRlTuZOjIbm0mv2H3j8hK4+IQhKjswWkcIGnh9Tew596YzivnLp3uUtRmVkxgTEzwapN3tPxajOCaHTL6x4PN3v/sdjz/+OHPmzAHguOOO43e/+933PrBjcvCyv44hNa0uVcBHjES4+Ywi8lJsmAwCj63sK+g4b0wOTT1+3l7fwIXjcnnp89389JRCIpEIP39L3clIZpPY1thDU7eXgjQLI3MS6HAHOHdktpJM+fAHO3nmsnHc9sZGZby+oMjuNjdPflQd01q7fzeDY8kBR4d8UxfZgSQ6GDcsw867806hqceHzSh1cPvtv7Zx85nDBkzWk1u0W4wSM4TVoEXQCPx6mRoTd72zhTmnF+LtTcxr6fFx94xyXL6QwiQhG63XnFLA6qoOTilOV2ELUFjgn/hQSooLhiM/iI6yR6pQ8lDLt8XZd5G+YqaNKj3Uv6g8GssWg05xnvXvmrS9yTmgk7z/QUwKCtWxsHIE17+s1rEPf7CTP10+Dp1Wg0Gr4f7zK0iw6PAEwny6q13FUrhkxVae+slYdrW4lGTP+i4vnkBIdc8Fb0uF1NGf7e3wKHPe2O1TsH/N+Hxq270KhuIVKMTTz3e+tUlJLJXl+17D70u+TzweTKeDeEkNA41NTvC951/b+etVx9HjC6qusRm1MUyqd549nA5PkHmvqpOgLzoul0dWVlGcbuPaCflc89e+rkTF6TbMei1f7O6gIN3G6MGJlGQ5SDDrlQJAkMay8O3NzDm9UOk09+gqqbAzLKqZMQEK0qwq5s3FK7by5CVjVEy5S6aV8dH2Ro7PT2PeK31jjj70FWVIeP1sV5vKKS3f94emGw9WDiV2B7LDXp19ourz/sFAuesVQFG6nStOzuOfGxup6/Co8PfLs4bxh5+MQafR0OIKcN2La3nkotFc9aMhKofxw7NGsfBtqeDunIpBipNiXF4CN55RzKbeANlT/6nm12eXkGwzYNAK2M06dIKGh2dVoBUELvvzlzH27OwJ+Vx60hBOG5bOU6trSLIYECMoDF2vfFXHtFHZhEV49pMaHp41Ku78plj1NHT5uPb5voP6PTPKCYTUVH//Cxj8tnK47YCBfi/JLCUqiGKE9fVd1HV4uPGMIjRo2Nfljfudhm4vYVHqapyfbsNi0NLmQiEvufykPO49r5z1e7tVjrOHZ43ila/quHVyMTlJFlp6fFx24lDqOjzcNqUEh0mHLxRG0MC1pxRyeRwMy7arxH45hvtnVvCn1TWKkxYkx7AYgYVvb1aul3XyAzNHxjxTpydAjzdEokVHSCTG0S4IP9z9/VDL4cKtQSvE2J2Prqri5IIT2d7UoypqXPqPbdx8RhElWY64Y7MaJIzL5CWvrqljWKadxSu2KvZqiyvAM6ulgPkVPxqC2y8qyQPy77/0RS03TCwiHA6RbpeCGukOIwAtPX6yk0zoNBoWPvdVzLivGZ/PkhVb+cNPxpCXYuaWycNo6fFx33nlWIw6Gro8/PXTWjITzDHFTNE2j4zx/myrsoM+WidH2wrHsPv92QtiJMLsCVJnNZNO8q5vrO9mfGEqr65REz31Ja1AebYjxpa4YFwOnkAIu0naY016LS9/Wcuc0wspHeRQAgDnjcmhzR2I28n+0QtHY7ZoCIY0+EIhclNsXPmcWpfe+dYmnr/6+Lg69ldnDWPJP7YpNrJFr+VPq3cxe0JB3GLiZKuRZV83qOZUGIBV2KQTaOyWyAeevbScISnWY93QDkAGwu7OZqdq/eLZrP33zvrOvvNwdBftskEJ3D2jDA0RDFodDpOO355XTqc7iEYjndGvn1iEyxfC2Pvb/fFX1dL3WTQRj/w7vkCI88bm0e0NMDYviTG5iVzRT1/OX7Z5QGzOOb2Qxz+sVgrsUm1GJXGhsduHThCU62W9++wnNSRZ9NxVWcqiFVsUX9nS6WWUZDjY7PfQ2O1TnaFkfXrhM58fw+VRJN+H/VHX6VE6bYOEnd++u515k4qYPSGfoSlWkqwGHl+1k9OGZTA4yczNk4chRkQCoQidngBOf0ixGwEuPzlfSXLOSjBxw8QCDFodWvxceFwevpDILycPJ8VmICSGeeGzPcyZWIwnEOKhWSNj/AtyB5EeX4g/fawmQnv1yzplHkblJNLm9Cm+uP5+kGMYPnDp8YaVpBzo9fO8s5m/XHUcl52YR32Xh9IsB/WdUkeg4RkOdDqBdrc/bvfWY2fhY3K4ZCDsvnD18Ud4ZMfkmAws+8Pt7FMLCQRF9FoN7Z4gy9Y3UJxh55Lj81RJT7LPRhbZPqjrcFPV7IpJ/i5MsykElLLsr8jycBZgHusW/cOR/WG3scvHTycU8MfVu0i1GVUFSvfMKGdQgonboojEj+QaHyy++1+fm2SJIRw6htmjW4JhEX8ootKNt08ZTnlOAteekk8wFOaWycO5/c2Nim07anACFdkJ1LS6MOq0bKzvZliGne2NPTjMBjITdGiAO95aFxP3nz0hX/ksyWLAHQhx+5QSkswG7u5Hjr6gN7b60hdSIb/TG0AnaBRSqdkTChAjEdIdRt647kQae/wkmHQ8c/kY3D4RdyBEstVAMBTGatDS4Q7wzGVj2dPmjulGI/sR/vblHn46oYBgKIJWq8Fh0qHXatBqBE4YmkRZ1mgErUTG2+MNUdXs5PXeQp27Z5TR7Qly46QiLEYdSRYDaTYDY3MT0cTxn21r6qG23auQUWsFOH5IMu1uP1lJVtAI/PKNDdw6ebiqG+O1EwqUM6Y8V49/WMWSaWUQkTo0Wo1anvl4NwadhrF5STFdUedOLOKB97Zz3YR8CtLtEom2WYdRpyEQlvJuHCY9AuD0hWL2ziNdwLFxX3eMn14mRtQKxPinbn5tPQ/OHKkQdkfHc2UflcOojem8tnR6GdmJJtbWdlHR2/WtxxvEYtTx5tq9nFSQgsOsV/ILQMJ1XYeb4Zl2HCY9W/d1U93q5uEPdjJ3UjG2kEiG3YQ7EMITDOMw6ShOtzFjdDZD02y4/GF6vEGlQ+DVJw9l/d4udIJAfpoVQQOPXzwapy9IU1RnJflZH10lFROJYoRkm1FVdP3EJaNj8nEeXVXF/TNH8rv3tnPnOSWk2gwEQhGu/FE+6XYjFr1Am9vIujqpMObed7cx5/QiOt1+VmxsBMBmTFKKPaPX48GZI7l9Sgm7W13Mf3urkuPwz437KB+cSEGajSSLngVvb1a6IkX7eOR7DUo0x3RkXdAb51uxcTePXzIGbyCE0xfi5tfWc834fB54b0fM9Q/NGkUorL7/4ZZWV2x3ycqKbOX9hL7CtkcvHM0fLxtHKCJi1mv5/YWjsJt06LQCXZ4A1S09CqZlwrtnLhvLCQVp3PnWphjiyaXTy8hKMPL0T8bgC0XY3eomzS51bt7a2KMUPt04qZifn5qv0pPzJhXR3O2lLCeBu6eX0+kJotdquO2sYbR7gtiMko79+WmF2Ew6LHoBbzDMjWcUMTTVhihGCEci6HVa9rW4EASNkjcjP/OSFVt59opxfLG7QxnLheNyeeLDKn59zgg27+tWCgkFjYbGbi8lmTZumFisFF3mpZi597yKuL60v151PDefOYx9XR4WVo7g6dW7uOi4XBItBpV+XDS1lNfX1HFCfppSpNji9GLR6+nyRkgw67nrnU1UVmTHdEJ9dFUVf7xsLEadlk5vkOeuPI5OTwC7UepOFgiL/P7CUbQ4fbQ4/azY0ED54ER+NWUYZr2WDpcvJn946fRy7CYtR1K0Gi2dbjU5RKc7QG6SBZCIRaUCziKe6c0zkbqxGrhhYhGPraqisiKbDfVdjMlN4slLRhMUI3S4g6rmDfefX4HTF6Sxx091s5PfziinzRUgzW7EFwrjD4rotBpuPWsYLl+Im3sLR+Vcq7p2N4MSUtjV4qIo00a7M4DTF6LOEyDJoqe5x0dushWtRsPmhh7CokiK1cCH21u4avxQnP4Qvt6CZ4DzxuTQ2O1l9OBEHrxgJG5/WOkcCH22zQtXH48vGKbbF2Zfl5fidBtnl2eRk2TBHwozOMmMJxDGrNdyx9klWA06hbRVlic+quaB86XGF0umlVHd4sJq0GE36xhfkMzauk6CYek9un1KCTaTluOHjKXVFaCu3c3vV1bR6QlIMY5BDnyBIC9fewI1bW4Vnu46t5R0uwG7Uc/Tl43BoteyrdFJQboNdyDAw7NGKQXXn+9qVWIo0fbDXz6tiSH2HJU7Vin2lOfmwfd28MI1R9j/FBGU/KrfTC1FL0CXw8QvXlIXg3V7Alx0XC5f1rRz5XipA92NZxbzi9ML6fAESDIb6PIGmTupGKNe4KmPttPQ5eeqHw1R4layTWnWCzR0eZXYqdWg5YmPqnrJdS14/CE6PVIXzlZngCSrgUc+2NGbk1igdGa+/rQC3L4QX9dJDavumDJcIVTXaiDZYuDB97Zzy5nDaOj04A5I+BuSauW5T3Zz2vD0GHvozrc2MW9SEYAqTrCgcgT/2dHEvDOKqWp20dLjY2HlCD6rbiE70czG+m4K0m1oNRp+ddZwjL1Fpal2Iw+9t0OJk5j0Wna1uEiwGIlE/Nx7XjmCAN6AiN2kw+kLYtBq6HCpu50+8VE1sycUqArqbj6zmCGpVh6YWUGqzRij1+cv28xfrzqeK/rFuhev2MrTl43FpBNwmHTcM6OcO9/axAuf93YETbORaNbR3ONj5lgpri6ThDt9IbISDEQiR75qTito8AeD3HhmEaEw7Orxx9jjsg3gC4o8s3oXD10wCk8wTLs7QKJZRyAssnxDPc9cNo7Gbi9pdgPhMPhCYZJtBsbkjqXNGcBh0XPvv/rOYUkWA7vbXDEdxO86t5RhmVYeu3g0ADdMLOTfm5s4uzwLh1nSsS99WaWcGW1GLa1OP4OTLegEjVK7IBN01Hd4KMlKYEtDN0NSrWQlGDHqtDT3+NnV6mLj3i4ml2Upe3ReipnfTC2jtt3NsAw7u9tc+EIR3IEwz3xco6qLiNbjzT2+3g7fPiK93VGLMh30+MLUtbtVxcaRSIQEi5GXvtjNpScOJcliJCvBFIMzOQfYbtTR7glQ2+FBq4GiDDt/vmIsu9s8pDtMNHR6yUk2IwgajHqBO84ZgdMXwG408MxlY/EEwthNOlUusmxPSKTHJqwGLVednEeSVc+DM0fiDoSwGnSIkTCXnpBLICwyJjcJnVaKTw45/HDdr9iM2v36y46R0x6Tg5FvLPjs6elh/vz5h2Msx+QQyEAdQwbqBGI1CjR0+VhT201DlxSAL06XWllXVmSzansTl500hDW1nQxOtihKJ7o4w+mTlOjfvqwjO8lCIBTmiQ930ekJKMmUAL5AWOkII3dEMBt01LZ7eWxVFa/OPhFvMKwqVJXlv6WQ7Ycu++siO5DsLxi3u83N1sYeKiuyqWl1Dciocd6YHB7+YCd/uHQsX9e1c+0phbS7AyoHpJw4MizLzg0v97EFpTtMPNPbtVNmcpMLlR+cOZIIkbj3sRm1ynuy4O1NPHfl8Uc91o5EoeT3Id8GZ99VDqSoPB6Wl04vo6k7Vj8VpNti1mL5hgYWVI6QOolFJeqLEfjZhHxcvlBcPbd1XzdFmQ7QgEGnobHbF7fArbHbx5raTv70cY3CdjQsw4YvJCpBGvmeIVH9O6+tqY85qMj3/SYMDaSfizPsSlLdBeNyKE63E4nwgyiejpbvE48HSmawv+6KD80axX3vbotihUtgd5ubORMLsRm11HV46XQHVHgMhSOq5EtfUOos9Ei/gMgjK6t48pIxJFkMXDV+KG5/mMcuHk0wHCHZqmNfl58bX12vrHFBmo2sBBNd3vjdizIdJgWLvqBIQZoNpzfAlScPiekUkmY3qq7t3wl0wdubefaKcXEPfbMn5DM806Gs0eHQjUcjy/ihxO5A73ljP/0XzQyWZDHEFGzOm1TEDROLFFY/+T4P/HsHT1wymu5AmF+/JbGy2ozaGIbPvR0ekiwG7jinhN+9t11xlJyUnwxEKMtOwBMIM29SsRL4kp0eBp2GYDhCqyv+s+gEgZpWF4OTLPxmaikdbqnwNFonCoLk3EmyGLj33W0xgc+5E4tYv7c7LlPxoSyCPxrxdijlcNsBA/2eVXTG6N+5vUxtSRZDXBY8i17LRztaqMjJxajTIGgkprOThiZz6UlD2FjfRSDc19FWZv0UIxEWVo6g0+3HbNCSkWCm1RVgSS9z7QXjcihMs5FsNeDyB+NiOD9Vci42dHnwBcNkJ5ioHDko5h006SR9qNGov1/b7o55Jjnp4bczKuIWGT44c+R3Xpv/FjwfLtx6AuGY9U+yGKhuVSdsynZcjz/MnjZ3DPvxvElFlGc7eossh9PU5WH2hAKqW6RCqfPG5PDqGil4cv/MkWgADbC3w63oXjmonGwxkGDS4Q6EuamXlS4vxcxvzi1DK2gIhSN4w7Hj9gVFhqZauPYUyQ5+9MLR7Gh2KkFueZw/PzUfi17gvDE5PPtJDQsqR+D2BXnikjE88sFOqZCutwPY8Ey7as8/b0xOXOz2txX+W3D4beT7sBeyEkzkJFnY0exUWIx/++723oBLjer8An124vzeZDU5oGoxaBE0Gh56X+rkuWhqKXUdHgpSrVw4LhdfKMzXe7sUBt+83jFHB7jNeoE0mwG7WUeLK0iyRc/uNg97Oz1xWbobOr0qrMp+ghSbkV+eVcy/NzfhDYbJTbYw74xiFkcVy0UXE9e0uThteDobG3pUzOr9kxXkvUNmFU4ya/d7RhiSYj0qkq6PBomH3XtmlPPAv3eorpNt1njrLf/3a2vqlSSX/r7TxVNHoNEI3PrWBorTbVx+8hAlQSPBpKVkUAK7W91AhMI0W4zfNDfZwgMzR9Lp8WM1arn2lHySzHoKM6wEQxGJGb43UJaXYmbR1PgdiaPfr+jn0Gk1FKfbSHeYpETJDg/LNzQohfxF6TZumzIMd28iosOoZd6kIjrcAbo8Aa4+eShPra6hsdvH/GWbSbcbWVvrwtCP9fbSE3Jj9OkxIr4jL4dSh8s6ZGezU0UuBtJ6p9uNCL0M1L9etolrx+fT6vLT3OPHapQSgLMcJp68dAytTnXyXkQUuWZ8PnaTljS7kXBYJBAWSbIa2dPhVc6Asl/hpxMKaezysLPFQ3G6VVUwuHpHC6cUp9PQ5SXdbuRvPz2BunYvSVY9L36+myllWXT7gtwwsQh3IEiy3agkk/TvyHwMwwcu7e5A/O4WniBF6XYWvrNZSa68+cxiurxBQmGRSETDio0Nqr3y1TV133gWDoVEtjR209jtIyvBTGmWVEAKxzpmHZODk4Gw2+4OEAqJCq6OyTE5mmR/uG3u9ilnK5Ne4DfnltLp9iu+dVD7bEDyQd53fgU5CWa+quuI8Vs+srKKMblJqoLP/cV1gUNagClotdS0ugY8xxwjhP7hyP6w2+L0oRc0XDM+H6NeoDjdxsaGHsV3Pm9SEbdPKaG23UN2kpn6DjebGropz044aFx9F1vhYAuM411/3/kVPPT+jmOY/QGJGInw3Ke7VYm53t5E4ZMLkrHqdXiCIX45eTg7W5zoBAF/KMKzH+9i4vBM5ZwxLi+Bm84cRnOPn1A4EkPGCxIeshPNzJlYyL4ON+eMzGZjfRdbGntYvqGBWyYXk2Yz0eryk2E30ez0kGYzMSo3gS53iAjQ0OnhpKHJTC7NUnWWWzy1lDSHkRc+383pw9WJwb84rVBFqts/QfrhD3YqpL23TC6mrsOnKmK46Yxi7vnnNq4/vYgPtu5j+uhcNtb3FSTdMrmYVJuBNleAbm+QP/YWWi6aWkogJJ3/xuYlEhGhJNOO2x8i0WIgGBb52+wTcPpCaIBIBLzBMIkWAx3uIHaj9E419/g5KT+Fhk43CytHEOjna5ZJqqK76dx1bik3nVGIRqOhxxtCK2h45rKx+IJhdja7lBw2pz+sKlS469xSnvpPtXKGefonY3nlq7qYTtoVOQmHCaHxpcU5sK9LjBAXeztbnFx2Yh4vfF7LG2vruXXyMF74fI/iC0uyGLjq5Dye+slYxIiIxaCjpcfPpvpuEkx6OtwhXL4AyVYjTn+In55agEUPTT1BxWd1+Ul5pDuM1LZ7qG5xk59mJTPRjMkd4DdTS+lyB7EatKyv7+KBf/d1QbtnRjmhcJi73tms5Dz8dkY5VpMGbyBCiteI2x+ivsNDmsPInz+pYerIbKkIKk68ZFiGg5AoKkSBIBFZO33x4xQmncB955XT5Q3h8YfZvK+HYDiCQScgilJabUmmA4tBy/iCFP78f7u44uShFGXY+XpvF05fSHmnou8rk7MXpNl46idjePLDah7/sEoVx5aLQA1aTYw/DiRbLtVm4NpT8lm9o0UpovL4QyRY9Hy8s4WN9V2Myknkl72FWP2JMeXxbG/qYXxhKvg4YmIx6Jg1NovpY3Jpc/pJsxtpc3lVXfpsJh0WoxYNGjo9foJh+PUytQ57/rNaJSf13c2NSqFCjy/UW4g5nO39fFzzl0mde3MSTeQkWxmcbEYraHlz3R6KMqSuUAsrS2ns8pCXYlHWVC6aGJpqwx8U+c3yLaqiitU7WqR4bFS+y9LpZXxa3cqssYMRxYhSQCZ30rMYtDHv8OodLTh9IbITzCRY9IwvSKG6xcX950tFUcUZduo7PQjA8CwHLn+IQDjCK1/uYc7phWQ4TKTZjXiDobjkWxvqu7AadSRbDBjCIW6YWITHH6Kx26vyR9/1zhaeuGSMqjvYXZWlPPDhdqWT141nFJNo1vPmuljcO/0hHlm5k4nDM2P87BE03PWOmuT91a9qFZ/SoqmlvP5VHwlARU4iXW4f3d4jW2TvC4Ux6tUduhf1dqS0GrT8ftZIUmxGajs8/P7CUbgDIX79llyU3aCKOci5K5FwmKZurwpnDV1eVQ7B1X9do9qfwuEwNpOBFKsg+VbjdP3LTrJQlGGjpcdPdYtL6Z4qFY9Z0OsEWnr8DMu0ExEjhCIRrvjRUKXwXCo8LScQjsTEsoLhSFzd0uryc9+721XEkvmpFtx+kWZnmLAYIRgW8fQW8nV5+2ykrAQTl56Qy6BEMx2egERu5O6zJzo9ARZPK+OVr+qU+y+sLGFvZ1iVAyHrgroOD0kWPWIEBCGsPIM81qf+U80NE4tYvGJr3HXx+EMcPyQJjUbD8Ew7mQ4jL11zAvVdXhItOnwBkcHJ+VS3OFW2VFWTk5OGJivFkslWPc99shtnvy7hh1taXX4uHpfNj0dm4w6E8QfDtDl93HbWMFLtJqX4Mj/Nhi8Y5srxQ1n49mbGDk4k1ZaDyxfGFxLZuq+N19ZI3Ttvn1LCFScPJdVm4PY3Nym6zKgTyEuxEAyLqoL5pdPLmHN6IW2ugKrb5m/PK6eh00t1q4s5pxcTQeTrvd1YDFqsRh1mg47cFCNdnkDvtWp/yE1nFJNg0tPQ5eWVr+qorMgmogGTXsstk4tp6o4lGPAFRYZn2hX7QI63BYJhrjg5n6/ruvCFRJZvaGBYhp3S7GRVztjS6WV4/FKx4KBEM0atwBUnD1X2X1lfPvhen74sHeRAJwh8VtOu7AMXHZerdEP9zbmluAMhDDqBX04eRk6yBVGMEAz36b2GLm/MsyRZDHS44+dmtvb4eezDKn511nCGpFh48tLRmPU6ujxBjDoBg04gzWGksSu2iNJh0uEwH3lfu8sXZFimnepWLzaDVtGNMtaGpFq5e0YpekHAZNDiDYTY0+FRxZqGpFj5cUUOL35ew4zRuXR7Q+xp6+sqHW1P3D2jHJtRR2uPj7AY4bfvblflLIRFeGNtHT8/rYjadreCk3mTpI6Yjd0+Sgc5GJ7pYHtTD0adgEWv5dn/263YtnKX+OOGpnDza325tkNTrfhDIkkWPdUtLtrdQcqzEzhuSBLXPr9W6mR+ylCsRh0/j8LjvElF/O3LOjo9AYUMdWNDD4+slIolIxF4dY30bnxW005JpoMXPqvhouOGsLWxh62NTlq63cw+tYCdzU5Jb2rAYdZxTnkO62o7eW1NPReMy4mLv5GDE2l1+kmxG6nv9OANhOlw+REtOvJSrWys70KMwAP/3s5lJw5BJ1ho6/FRkGFnV5ubhb25lgMRngxOtmDSCVS3uki16kkwG+j2BclKMElEJ351w4JFU0upyDYeTpjuV0Qxwu42N1XNbgw6YUB/2WV//vIYSdgxOWDRRCKRyP4u+MlPfkJTUxPl5eWMGzeOcePGMWzYsEPy46tXr+buu+9GFEUuuOACZs+erfr3QCDAr371K7Zs2UJiYiIPP/wwOTlSweDTTz/N3//+dwRBYP78+Zxyyinf+Hvbtm2jpKRE9dmhSoiKd+/DJQfy2xv2dios7LKY9AKv/vREPMGwwgJRke3gspOGUN/pIQKUDkqgtt3NQ+/v5IaJhby2Zi+XnZjH0FQreq1AU48fi0GLLxgiIsKCd7Ywb1IRLn9Y6RAntyTvn2A6KNHEsnUNbG92cd6YHMqzHRRn2MlNslDX6VGtyZ52N+c8+nHM+P95BJzjh3utv+vvHerxyu9M/y6yA0lNq2vAtWvu8fF/u9qV1tv9D6JLppXx+IdVSrfY+2eW0djl54NtjVw9voAH/72d60+XDpU6QUOHJ0CG3Ygn4OdnL25UfkvuYCB3bwB46idj2N0mMcv9ZvmWmKS+JdPKaHP5ef4zKRH1ldkncGJ+6iGbx28r+1vP6MBSdJFdSZaDoamHP/nlm7D3Tc9yMDj7rvLZrjYu/uMXMZ9Hr/tAWH752hP4aGerwnizekcLV/xoCC09fpXeu2dGOS9/sYcLxuZy25ublHssnjaCskEJ+MMiV0V18gCYPCKVS08YgkajoaPXKRCOiFgNOtbVduMKhFi+oUFhT4vuTPvwrFEsXrFVVXwvd0V67srjuPm1DYohqdXAIIeRDm+InCQz9Z1SJw9vMMxxecmclJ8SNwFm27ZtGFMHx52Xf9xwCloB1tV1qRzW3xQcPRqSlPtj8/vC44Hgbn9z/M+5p5CbZOEfmxu57Y2NMR0r7jxbstdS7EYVHudOKuTRldWK88KoE8hPtTLnb1/HjOX+88sJhMJkJpjp8YWobXfz4fYWfnF6oVLsecPEAsUeyEm0oNFIBBS17W5c/rBC8iB39Iy2DwJhUcWqJT9b/2uj9bcsD8ys4Jd/39h/yDx35ThOLU5XJb/3D7rfO30EU0fnHpJ1PFpYxvdn535X7A6k/16dfRIXPvOZ6vO8FDMPnl+GiFbF8iR/Z9HUUl76vFZhZ5NZYM8ozaS5x8emvV1cetIQ3P4QVS0uJQiRlWDi4Vkj+XpvF1oNhESUAORTl46i3ROiutnJsCwHP+sN6p5enMp5Y3No7PKSlSgxCOYkmdm2r4d2T1C5t6wzkyx6Pum1S+Lh8sGZI9nZ4iTDYSIsihSmS4GdVqefFqef97Y0cekJeSodL8vjl4zm1tc3fGcMfl94OxrOMtFjONx2QLzf27Fje4z+nTOxkMdXSboouuBiXF4SOi3Qy87qCYTQINDlCdLl8WMz6ZWAwtxJhby+pp7rJuTjD4tKIdMF43IYkeXAZtQRAX76/BqSLAauGT+Udzfv4+of5RMIR8hwGNnb4ebhD6qVIJqM4ZteW68kUc+dWMyjq3aqunNFXyef2WQ74NSiNLY2duOwGKlrdzM8y8FLn+3hw51t3Dq5mAff2xkzb/317beZ90OF5yOB4f7YPRy4jaeP5ULkeHspoDCfy3iNRODNdfUsmV5KlyfI/GWblfPSjWcU4QlIxWzpdgNdniDVrW7ECIzLS6TNFVCwnJdiZvG0MkQxgl4ncG1v4PH04lSuGj+UHm8Itz+EPxRmSKqVjfXd+EKiSvfKxBWzJxRQlGHj8mdj943ZE/IZnZsodTHRCSzqF0wvTLdh0kvsyc3dXiJoePnLWiorsslNNnPbG7E6ORq7h3sfP5L6dqDfP5T2wlV/+TLmbC0HTKJ1VrRtJ69zf59AdJH9dRPy0ekEnlm9i9unlOAOhEizGbEYBb6u61YVhba6/DzTy049OMmCoAGnL4DTL9LjC/LM6hoWTxtBgtlAMBTB7Q+RZDOg02gIiRESLXr2tLt48bM6ppRlqQK+100ojGHzjT5nzZ6Qj0mn5YXPa7npjCJMBi0uX4jFvays4/ISmHfGMJq6pU6lf1y9i50tLmZPyGdIipX8ZCOt7jA/fWFtzPz+7acn0OkJHpaka1mONF6j5UCwK2hgyiOxNuvfrzuJj6vaYvySAPe9uwOTXuCRi0YTDIlKsqQs0ThcPLWUpf+UEgFWbW/iZxMkdmOLQUdjl4fhWQ5mv7A2JtFCTq68650typ5fkukgwaxTkjYqsh1c8aMhtDv9ZCVaiEREUm1GtjU66fEFOaUolXv/tS0mUebuGWUEQpGYLhWvrqljQWUpT31UxcmFaUrSzJJpZbzw2R4Fd2a9VpkHgJvPLOaNdXu5q7IUTyAMGuhw+7EYdNz6evyzl0mvPeTn96MJe99Fvs/nOJT2R7y9sL9+e3DmSOb87WvuPHsY+Wk2mp1+FeP0b2eU4wuG6PKGyEmyUN3i5LU19QDcMrmY+cs2M29SEWWD7Gg0Gro8IWwmHde9uJbidBs/P60ArSCgEzS4A2GSrXpEMUyrK8idb20eUA8vmVZGu9vP376s47oJhbyxro4rT85nX5eHcARKsux4AiJufyiu/+BvPz2BDIfpe/VD/RDx3H/MG+o6aOjyYDMZFP+kyxdgUKKFi/74Rdz9UNY7/f/tL1cdT7vLT6bDRPmgBAwGrcofmGozsqPZqTo/L51exvSR2QiChjV1bYTDGlp7E0O12gjjclOPWDD8aFhfUYywvmYffo3xiJM+HOn5OBjshkXwB0UyE48eH/SRlqNtPPD9j+loiEccDG6rW1387r0q1dnquSuP45n/7OJHRalkOMxYDVqCYgSbUaDDHSI32UwgJNLUq2Nf/6qO00oyiYgiiVYD2/Y5Kc92YDFq0WsFXP4woigqdqosJr3AijnjEQTNIYvXi2KEd76u4/ZlWwc8xxxIDOVgfu9wrrf8e7sbOxialXxIf++Hht2L/viFKpnyrspS/vZlLRsbeshKMHHPjDK+3tul6ma1ansTcycNQydosBp1BMJhUqzGmGeNnov03gK5Dpfkk7KadCRbdWTYLbQ4v3mu9pfTEA/fA10vF85Fy8FgNvqZLIaBn31/39/d5mZXSzcJFhOZCUZCYQ5oDg61xPP5H20x4I92NJFk0eEPamh2+slwGPmsqplARItWgDG5SdhNWmpaPSzo7ZAkk9V0uP08s3o3aTYDFx+fpzqrRBfLyGLSCzx92VhqWlwMSbXxm+VRxRXnleEPoyIZXTKtjOwkI3vavIpvyaQXuHt6eVzf/3NXHkcgHMas09Hi8pNiNWDSC9z46npq271KQd7gJAsRoK7DzYuf1wFw3/nlbN3nZExeolIAGX3vOacX8vravdwwsUhVAHLTGcW8/GUt00Zl83pvQvCQFCsOk46aVhcikJdsJRgW2dfllZKfjToyHSYMOg16rQYQaHP5SbDo8QdDaDVaIoh0eUNUt7iUTk4F6TZ8gRA2k4GwGCLVZqbV6SfDYeLZT6p5b2ubasx/unwcITHCzqYeevxh6R5pVvJTrQRCEXxhkc97k++jfday37Ii28H8c0uIiBAIRXD6Q6RY9XS5/RgNOk4blvG94bS/9I9FfF3Xwec1HXF9Xe5AmD993BcvyEowccG4HPKSLRj1Wsx6Ab1Wg1GvJRCM0NjtxekLSZ2HepPbf35aIdt6k9XtRh33/Ev6/OIT8njqP9VcdFwuQ1Os+MMidpOWcBg8wTCDEo10uEJsaexWdPrVJw9VYmHRPt/+GPvzFdJ61fUm0dtNegYlmLCbdLj8YVz+EA6zRDhFREOPL4jNqKfLG8SkEzDqBbzBEFaDnhanhP9gOMyD/95JitXA7FMLpKKn1zbEdBFzmKTOOzqthgSLli53GKc/RHaSid2tbpZGkbPmp9pItRnQaODh93coXRBLshz84cNqNjb0KM/0l6uOo77Ti8sXxBuUOnUOSjBx37vbaOjy9+VppFkxaAXsJi0NXT7VO/abc0sJhMK0uQOMy0uiqsWlKpb9zbml/OE/1Zw7MluJX86ZWKjCgDyeOacXUjrIQWak47DZ/f117q6WLqpbvATDEWWvlgprI+xpc2MxaEm2GtFpNSRb9Ri1WlbuaFFyseS8EznGmWDSkmwzMn/ZZqVoOclq5PEPq6II0xNp6/HS6QsxJjeJ2naPStfePb0cg06iPfUGggxOttLhlroqmvUCXd4QTl+QdLuRsBihxRnArBfY1+WlzR3gRwWpcXMinr/6eDyBMD3eADqtQE2rm5IsO03dPpKtRkx6gapmJ899KtlHi6aW8uRHfQXnS6aVMSTVQm2bi6aegFQ8n5uISa+lxRnAatDS6vSSnWRlT5ubZJsBg1ZAqxX4urcjrfwOeoJhhqZaSbTo6fGFSDTriESgqcdPTauLD7e3cNrwdArSbNhNOgRgTV0XNqOWUDhCICxywtBkalrd3P3PbXFjP7KuKR2UgMOko7rFSW6KFa8/RKLVgAYN/7erLUbnPjxrFD9/aZ0ybw/MHMmOZqey1n+8fCy+oMiZIzIPC2Zlicbu13UdXPzHL2LW+IVrjkdAmsdbev1YeSlmFlaW0tDpJS/VQrsrgMWgRaPR4PaHSDDrVUSi98+swGHS4wuG0QsaXP4Q6Q4j6/d2KySOcrH30FRJV2gFsBn1VLe66PYEEAQNdqMei1GKU5j0WtLsJkKiSIrVSI8vSLLVQLc3yKYGqYi/NNuByxdC0Ei5tml2IxBhW6OTnEQLD7y3ncqKbKUwZfmGBhZPK1PycKLn4clLRgNSoaZJr6Xb4yfRamRfp0eJdWQmmOlwBzDrtSSYdfjDIl2eIHaTnlanD0Ej0NjlwWLU4fSF8AbDjM1NxB+M0OkNkJtsoaXHg0Gnx2bU8lWthHEZowAnDE0mKIr0eEOY9ALd3iDzXtmgyukYlmHnl3/fIHXrDobRCQLDM22A1IG2zelD0GhUBYv3zCgnyaqj0x1S5T4unV6GXtAgCAKF6RbqOrxKzNHa2yE9N8lMyaDE7x+wvdJf525v7KK2w0ubK8CSFVtJshj4+alS/oDc2VGrgcJ0G0lWPRFRgycYJtVqoKbNrdKVi6eWkpFgYm1tn36ZO7EYk15Q8C/FrMqx6LVAhNe+2svx+Snkp1qxGnVoBWjs9pNolro1r+m91+e7WrnxjGJAQ6cnQIJFh06Q4qsJZj2d7gA3RhFBydj742XjCIlS59uv9vSNa96kYgYnm9jR6GRwihWPP0ySRUePN0xEE8Gi19HpDZBmMxAIiXR4gkohoEGnYUFlKVpBoxTXyZKXYmbptHLaXH6yEk20uwKk2Az4g2H0Oi2NXT6yEo2IoogY0WA2CNS0elREKjKxdfngRFp7fPzu/Z1UVmST5TBQmGFXuvo6fUGqm11EgBSrgS5PgEA4gi8kkmTWMyTVgjcoKj706Hl57KLRWI0CvmCE6hYnVpNeFctZMk0qyt5Q302HRypKlnXuQxeMJNVu5PihKd8rVvtLjH9hbycJZg0tPWHa3H6WrNimEN3K+/uILAdtTh8mg450u5GWHi/pDhNaQaDNGcBm0tLlCRBBo7KtFlSOICyKuP1hBidZaO7xERZFMnq/GyFCqs2ILxjCpJfONENSrTh9IbY19ig4uevcUkJhEbtZTyAUxqiTOno6ejGbnWimsdvHr97YqNInj6zcSSAUUeLIso1ZlG4nJ8mILxih3RUg3WHEZtRS0+ZBLwjMe/XruLadNyiiFaRGGb5gmG5vmOwkqaC7ocunPkfOKKfd6UMELHotealW3L4QzU4fRCDVbkSDhvrezpxGnUCiRY/LF8LlD9PS42NLQ5dCXGQxaIlEINVmpN3lJzvJIunHf2ylsiIbs15gbF4S3kAIT1DEqBXY3ebioQ+qlKLrO88pUZG1ys8m5y/dfGYxmQkmpcO0HI/8/crY8/BfrzqeE/KPLHZFMUJdh1uVL//2L04a0F82/cnP/mfqoL5J/lfG8118Y9/Y4fPFF18kEAiwadMmvvzyS372s5/h8Xj48ssvv9Ogw+Ewixcv5rnnniMjI4OZM2cyceJECgsLlWtef/11HA4H77//Pv/4xz948MEH+f3vf091dTX/+Mc/+Mc//kFzczNXXXUV//73v9FqtQc1hqMlQf9wSLxOIL6giCcYxmrUsnhqGU98VMV1pxUqxWILK0egFzSK46UwzcINE4t45ctazh+Tq3JY3nVuKcMyrBSn20i2GHAHvMpvZCWY+HU/xpRHVlbxq7OGcdqwdE4sSFXYR/NSzDFOwuguZoez498xiS8DdZEdSPbXnTXdbmL5hgbmnzOCZzw1vPC5xNRk1AmUZzsw6jX8/NRCGru9XHVyHkatjic+2sLdM8oIi2Gu+lE+ezs8Ume6foV1j11Uxg2vSDiSGczkg6ip14kps38srBzBTf0YYhe8LSU+y06GH0KXTEHQMKU0kxHzTjmoIrujUQ4WZ99VDqQDYDwsyyxbsmg1KN3rpCINiTlN0EBhupUrT84HDcpvVWQ7sJv0fLG7g1e+qmNh5QgW9x6yrz8tn7JsBzub3arOm4umlmLWB7n33e3KQSQiiuqOykERX1DqqvzG2noeXVXFnNMLefzDam46o5hAOKwqDDTpJQb+ogwbEwrS+NfWJm6LOnDsDz8DdZQYmioV68s4lMc1EJPt0bwnf194PNDOk/vTo5EISrHnHeeUUN0iMRVuqe8iP91OKCRyY+++LuOxOMNOXopZlYx/+5RhMWPJSzFLjj9fiDl/6+uc/NhFo9nd5uKa8fn8qCCJ3e1e3l4vBeGj2WTnTixi+YYGLj8pj0GJJv6zvYXTSzKZO6mQUYMT+XhHM0k2c9xn0wkCYkRmwBrBU6t3qa4x6QUGJcSfv7x+hrCsG4fPPYUWp49Mh4nO7h6+2N1+SILKRzPL+KHC7kDveWmWI+bz26aU4Ah10aFNVq2N7EjNSzZz8Ql5/Orv6uTNx1ZVcf3pBeQmZzMnijFS1m3njcmhyxPkkZVVPDBzJL/8+waSLAZ+cVoB1W1eHl25kwvH5bK2tlNxVBZn2Gjo9hGOoGKLu+mMYlXno0uOz+Ped7dxz4xyyrMT6BqACS0sirzey/b10KxRXP2XPlbFO6YM58cVg9jX7Y2Ly5JMB//sxWC63USwc9+3wt2hxFv0IdKkdxxVHZgPlx3Q/yB9/JAU1RzE07/y+jZ2+3hznZTA0O7yk2430ukN0dTlVIKLcvD63nf7WN3FCFwwLgdPULJfi9NtXHdaIfUdbtrdAW58dT2Lzi2V1vaMIvyhMBeMy+XmKEe5zE798AfVSmAzEA6TZDHw6Koqrhmfz6+XbYoplvcFRZy+IA/MrMDlD/PIyj77wmrUYTNq+e0/t6mK8bY3u/CFxAPStwcrR7P+/DZyOHAr6+Po7t7j8pJ4PQ57dEGajW5PAE8gTKcnoMKCSS9gNeiY87Jks+YmmUmySAFXOdni2SvG0tDlUwqdSrMcCq6zEkxcffJQtu6TWAJlzJ43KotJIzLZ0vu5TEYRza4uFyJdN6GQP3+yi8qKbJas2MrTl42Nq3vFCHxd16UEzZMsBq4/vbD3jBdGK0gF0krA6dwR/GxCAYtXbOXaU/LjYjfZalCw+9+Gw28jh9JeuHtGuVL8C33+n2vG5/Pmur7C4+GZdqWrpcw6ecc5JYp9kJVgIjtBshPPG5NDuyfA2+sbuOT4POXsLuvDl76oVQrsNu/r5u31fUkMsm0qJxL9cvIwbp1cTIbdRFOPXynA6382WjKtjDmTCrn7H9uUZ6msyFb8YPKzyTr3iV4GyaJ0Ow1dHgw6jcTo3O7m/t4EnIpsB1ePL+CrPR2qJNbWz2vJSTTzwL93YNBpWFhZGhe3FoNWIWuTf1/GKvA/ieP+2BXFiMo2zUsxs2Raee+eF9vJaM7phb1JJBVERCkQ37+zodwV4dITcunwBKisyJZ02KmFStd6ObmlqdvL3TPKqW13K+esrAQTt08p4abeM5lsf5rGaUmxGRRs3PnjEhq6vIQj8OB727lwXC6/eqPPp5NmN3LFyfk8+N521XPUtntUSXLRuOx0B7hmfAGtrr4ujQve3syc0wvZ2LATMQKPrKzikYtGc/3phb2JrIkkWfSqzh8PzxrF9qaeuLj8em+XUtR1tJzf/9fkUOjweHthtB/pjinD0Qoabj97GMk2IxsbumNw1+r0gSaW8BFg/jKpg3NOkpkWV0AhpFp0binF6TbuOncE9V1e9rV7VN//7YxydAIKW3o8PbzgbamQ9MJxuTy1uppbJg/vTZ4y0OkJ4PSF+eXfNwxoE/iCYa76y5dKktUxHMcXvU7A6Re5+fU+m27R1FIMOqlDV//9UCdIpHHRWPL2+uY9/hB7Oz3sbHbS0O1l8rAMVlW1qvwK/TsOzV+2maLexKOm7oCS9L2r1UVBuo3tTd0Mz5Q67MQLlB4txQXfh4RCIp/WtLOm1oUYcbF8QwO3TSk57Dg+Wjuv7g+7Ln+IW/6+QfHxHHv3//fkaI1H7A+3yb1s8PL53hcU+aymnR+PzOaVL/eoCg5cfqnoYmezS0nSzEsxc1dlKbXtbjITzCyM6uKyeGopvmCYZ/9vN3NOL4p7Pt/W1EOKNbaTlhyrOFh7ZE+7Wyn2lO9z82vryZ59Ip5AmAyHiax+MQA5kdwTCEtJdwdRAHc417v/78lnE71W8533oh8idqN9A098WM2iFVt4+rKxbGvswWHSKx1Wov1Gt00pYfYLa+J+Lj9rvLmILpaQyXeu/svaA5qr/cXi4uF7oOszEyTsRhdnp9kOLM9gIDKW/s9+MN/v37HwSODlaMUtwNBUE1/UOHniI6k4qKrFyajBKWza287DK3cribGPf1gVt5PWTWcUMyTVyrze3ADZ91XV7FSIaxW/5dQyRffmpZhZUFlKdbMLVyBEmsPEVX9R+9QWvL2Zv151nJKkK38+kO9/V4sTraBl0Yp1qndiQeUImrp8GLQafCGp06Oc4H/DxAJC4Yjiv33uyvg+2mEZNiorsmM6ZcndQXVaTczc3HxmMWatoPLlzZtUxDMfV9HpCTD/xyXYTTp29RIOajWQbDHw509388DMChr2OWO6Do3IsvP21w2cWJCq+MlMeoHF08o4f2wu1S0uXvy8jsZuH5/v7mD5hgZun1JCVYuLsCjS4wvh8of4em+36vwZTVSj0UBFtoPrTi2gpSdAc49PVWC3dHoZealHtntMICTG9XXdOrmYN9bWM29Skco/H/2sd0wZjlarwekLKR2x5KT5k4Ymc0ZpprJmMk6XTi9jcJKZLft6uGXyMNz+sJJ/IN8/yWJgzsRCVUHB3IlFSiwsOkYWD2PNTj//2tTARccPYeu+HjIcOmrb3ZgMOh5bVcUFYweTZjeS6TBR2+7mD/+pUYjPX11Txy/PGoY3IPLzt/v8dUumlbF4WinVrW6u+stXFKfbeGjWSLq9IVWc+q5zS/nbF7UYdBouGJerKsyYN6mI4nSbihhQ/vzSE4YoyeZy3k7rqr643c4mJ39fW8/Z5VmqNfjNuaUEw6KqcE5+jmvH5zNvUhGZCSZMOi3PfrKLySMyCYvQ2O2jxxtUnZd/s3wL14yXindkm2n1jhaWTi+L6c5nNWgZnGQm2HF48RotLn+EDk9QRV63aGopRRk2gmGRQDgS07347fUNUXpzBHXtHooybCxesYXKimwe+mCzQhqZYjPyQK9vNXq97jq3FLNOyyfVbSqfVpLFQG2Hm+wEM52eABkJJpVu6V+EubByBK98WcfOFhd3nVvKR9tbgAEw3eOn0+3H26srkywGrvrREFVXwnmTirhuQj5Pra7hrne28MDMkdzTG6dd8LbUkTQ70czra/cSCEUw67UxOV7Zmgg2k542px+LUada9zumDMcfFmP03atr6rjouFye/0zCvUywFt0VLcmsR6/VcM8H21XjlTuenjcmB28wzEOzRrK3000oDE+v3oVJp1XN/dLpZXhDPu54c1NcnRuORJSYH0CnJ8CfPq5Rrml3BSnOOLK5wa1Of9zOXC09fuo6PFh7O7YCXDgul8UrtnDJ8XlKcaQ8d/07004uzSQQEvm6rlPpOHfTGcV0e4PqTp/j89nd5mLR8q2KfrEatPx9bT2VIwfx4Ht9mFpQOYIUq4EebwC7ycDnu/u6Cl53aqHSedbtD8UQ+i2ZVkZRuo22Hh9XnzwUrQD56TYCoQilWQ7MBuldin5/bzqjmPpOr6pA8q5zS/H4g0qs45Lj81SxDnn8/fX4RcflIooRtL1NY2xGnep9uXt6Of+3vZGRuSlK7Pryk/JUHd6i53np9DLG5SWoSDTnTiokyWLAYdYP+F7I6ynr2Tvf2sTDs0bF5D7OX7ZZ8Z+/OvtEOtxq3XbXuaVkJ5qPFGwB8AcjiCLKOp83JgdfMEw4gsrGuvnMYjQaDQ/8W9KfW0LhGP//wne28KuzhhEWUboVPvvJLk4uTFPiXNdOKMAbCGG1GXjx892cUzFIRZgyJMWKSS9Q3eJicIqVj7a3sLPFJdl9XVKH+WiCCVmXX3tKflw9+8WeDv70cQ3zJhUpeVxzJxbx8hd7uGXycGwmA9v29ZBs0bOn3R2z5r97b4dKFy6sHIE3GGZTfRdmg1blh7j8pDwcZj3z395EZUU2u9vdjMxJRKOJ0NwTYOE7fbr3rspS3lhXxzXjCxSbQh7zkhVbuWZ8Plc99xU3n1nM1ScPZfnGBs4fk8uVz32luscH25qYVJLJi5/XcnZ5VgzW/7WpUbH5onVABAiGobrFSTjSt/7yGBa8vZmHZ41S4tfRelkQNLj9R7YzLUCyTcNn1U5eW1PL9acXccG4HF5dUxezvy+oHMHv3ttJpyfAAzMraOr2szAq9u8NxmJ5yYqtPDxrFPf8s++MMv/HJfT4QrS6pGYnekHAFxKpanYRCEdo3t3ByJwEEsx6bpsynESLjrve2aLyOzz5kYzZjap16q9P5k0qIruXNPWGiYXYDDqFdOXiE/IUPZKXYlaKSqEvTiaLLyiSlWDm18sk3fTMaknvaIUI1S1uGru9Mc/+67c2cevkYkxaAXcgrNqn7jx7OM09fh58b4fy+7ecOYzqFldMDsWSFVsIhCIx54x5k4oYNdih5OrE080LK0coe+ZlJ+bx109rWFA5IuYM8cLntfiCEmnM7An5que4o/c5lv5ju2o+ur2Bw4LPgUT2e2xv6lHm/vTi1P36y+SxN/ccvF/1mPzw5Lv6xmLbdfWTNWvW8Nxzz/HUU0/xn//8h9NOO42FCxd+54Fv3LiRvLw8Bg8ejMFg4Mc//jErV65UXbNq1SpmzJgBwFlnncVnn31GJBJh5cqV/PjHP8ZgMDB48GDy8vLYuDGWofmbZKDEvj3t7u/8fEebyEUl0WLSC2Q4TNiMej7Yto/7zx/J9qYe5ZBS2+4hEBaV+Um2mZi/bDOXn5wfk1yxaPkW/KEIsycUYDVKTEDybwxKjF/M0eEJ0u4JKMWeQFwn4c2vraeu08OU0kz+OfcUXpl9Ai9fUXFUOICPyTfLQNhLt5vQCnDRcbl0evw8PGsUF4zLwWIQGJIiJV8GQhFSrAby06wMy3TQ7PRTWZENETBodexodtLmDsQ4M+98axMZDhsV2Q5MeoFIBNX/3zOjnD98JBnBjd0+qlpccTGq6S3M+yEVFwuCBjFC3CK7/0bddqhETp6XsRpv3eNh+aqT86jvlAzkx1dVs2x9AxHgmvH5nD9Wcva8sbae19dICaM6rYZ9nR6WTivDpBe4dkIBu9ukQ2VtuxebSccjF41mzsRC0h1mvKGIUuwJ0lre9c4W0h1m5e8lK7aSnWzlq93tquChw6zn812tXHZiHkkW6T166idjKEizotUIMe/NQ+/vZGiKjfpur1LsKf/b/vAjF9PJ+vmfc09R9PP+gqP95X9pT5blQHAH+9ejtR1uJcD4q79v4NGV1dK6nzSEmhYn3lBY0XVPfFjN46uqufsf27jr3FLlEAwQAeZNKlJ+R+6csbGhm1/30yeeYAirSc+KjQ34QhGWrJCYeaLv5wtKSX2VFdk8srKKfV0+zhmZzS97x/iLl9ZRNjiZkTmOuM82enAiJxck88hFoxmcbGHepGLmTSpUEjzmTSpid5uLpdPL9jt/ohihptXFF7vbiUQkR8y6ui4u/ssGLv7jF5zz6Me8u6UJUaaF/BZyMDj/ocpA77lOJ8T9XAyHVbjNSjBx2Yl5rNjYQCDc14EI+pyhFx2XS5bDwvxlm2JwdN6YHLIcBsTez3a3uZUi51aXn1+/tUnBoMWg5fKT8shMMOMKSEnw/fXdwx/sVK6/97wKzHqB2nYv7a4ABq0Gi1EXF5dpDoldqjjdxvamHtU9ZZv25av+iwABAABJREFUtTX1zJ1YpMLl3TPK0QrSO39ifir5aTbEcPhbrcWhwpt8iDzn0Y+5+I9fcPFfN37nd+GHJqIYYdWOZpatb+D/drXz9voGVu1oVs1BVoKJuZMKmTNR+t/qHS2KrpQdu8+sruGW1zfy0xfW0tDpZXCyVXWe6R+8fmNtPYOTLKTZjSRZDFx4fC43v7aebl9YcWJZjDrG5SWgETQkWowxjuBFy7dgMej59Tkl3D9zJM9/Vsttb2zi0hNyFRvWF5SY3KLFpJeKNOs7vTHv4UPv76SpR2IUlj/b3tTDHeeU4DBqWTJNrW/vnT7iW9vHsm7e2ez8r9ef34cUp9u4ZfIwdIIU8Jr9wlouPymPrIS+xDGTXqDbIzH+Dkm1srByhGr9bjqjmE5PQLEh9nV7uWBcjupsbtD1BY7PG5PDtii9Jxfgyf8uY/bcUdnsaHaqvtdfBz+6qool08p4anU1J+SnKXht6i00jhaTXkDQQFiEdrefk4YmM2diIc9+ItneT6+uoanbrziFfUGR+u4+psI31sbq5JvOKCYUjvDZrjZqWl3/E/v4txX5XZXn6pv2iFBIJCxGuPaUfOZMLFQw6QuKGHUCl52Yp6zdra9v4IaJhTx+yWgiosjZ5VlUtzh7gxOS3dDtDXDblGEUpdvITbZQWZGtwqisDysrsjlvTA6PrqpCjEh+pWh8gqSL5SDug+/tpNsXVnRrPJwueHszJp1W8j/0iozVaJF1Lkj42t7k5PcfVHH9aUV8srOZNLuJJIuB26YM4ycn5nHza+t5dGU1f/q4htkTCtAJ8Osfl9DuDijFTItXbInB7X3nV6j8c9G/3+H2s6fdfQzHqG3Wv193IjefOYzZL6zhk+o2BVvXny7t6deekk9hmo1HLhqNJyAlqd325ib+9HENl53Yp1O1GhiXl8CIQQ7SbEa0Qm/xb7999JGVVdR3+chJNFKcbldhuccXVLAmn5Eku1VHXoqZS07I49Nd7YrdGu9stfQf26jv9KgwCQMnyWkF2NPu4abX1mPR61TvY2aCibwUM5He96LbE+DZT2p4dGU11z6/Bpc/pNKr25p64tq4CypH8HpvB8ej8fx+sDrscMnROK6BCM7KshO4Z0Y5GQkm7n13G05fmPnLNsfFXVaiRUnAgb73YliGXSLkOa2QqhaX6nyWaDVwyQl5NHb72dXqjtHFd7y1iSSLSbFPB9LDaTajwuzsC4Ro6PZy25ub+P3KKuo7PSRZDHFtgrkTi/jN8i1cdFwu158u6YUdTT3UdRw9OD5axBm1b0Kff9LpCzN3UlHMfliUblPrHYdJsQF+8fI6RBGWrW+godPLpsbuGH/gIyurlHWXP2vq9tHuDNAQ5Yd9enUNDZ1ePqlq41+bm1i1o1k548r+nlBIVJ19D4Uf6GgRUYzwj82NzH5hjWJfXDgul/ve3XZY9XG0f+GalzcdVXO8P+z6QxGum5BPksVw1O1hx+TwyNEaj9gfbnVaQdG3IOncsAjzl23i6vEFik1306vraXMFaHcFlWLPrAQTF47L5Rcvr2PRim3c9Np6LhyXS1aCCV9QSt50B8JUVmRT3+mJez7XCQImvTBgrOJgZaDz+MrtLYrO3tro5PFLRsf44q7+y5qD0jeHe72jf0+e+9kvrDkke9EPEbvy3zJ+fUGR5m4fTl84ppBNPjP197/Ln9/82no2NXTx2a42NjV0xczFXe9sUc5NlRXZMWPa31ztLxZ3MNe3Ov38+pwS5kwsZN6kQu48e3iMn3YgGYiMRX72b1rneN+XfSfy30cCL0crbgGae8I88VEVF47LVfToL15ex+BUh6Ij5RiUfK7vH2/SCxrFzyrbvb9fWYXLH2bepCLmTCzk/pkjeeKjKqXT5oXjcpnz8jrufXc7f/q4hk5PcAC/T/zP4/n+B6dYY/K47npnC56AyNJ/biPFbsQdCKvs6W5vCF8wrOgrm1EfF9eJFgNaIf6ZLN1uZFCiJWZuHnp/J+2egOoz2db3BUU8/hD7egkH5fF4gmEuOi4XXzASt6BRoxGYeVxuTP7Ewrc34w9FeGxVNVeePIS8FKnr9YXjcrnptfU89P5Onl5dg9MXItxLgNX/PTtvTI6SU3T9xCI0Gg0tUcWe8rXzl23G5VfPw+GWgfBiN+rp9ASw6LXMOb2Qu6eXKUVD8rk3xW7E45eKPaNxf+Or6zmnYhDPrN6l2r/mvLyO3723k3V1Xdz/7x3saHIpfrFov+p5Y3JiCgoeXVVFssUQM9a4urPHx1ll2fzipXU8+N5Ofvn3DWgEgVe+rOWS46WCntve2MTPXlyLOxBWbHlZR+o0gmL3yL+/4O3N1Hf2dcw8pTgdDZoYv96i5Vu4dkIBl5+cH7NvPLKyimsnFMTg+5GVVexud3Pr5OHMmSgVEC1ZsZX5Py7hmvH5PP9ZLff8azvXTiiIwdtvlm+h1eWPmauLjsul1eUn1WZkT5ubdpeP604rJNFq5NlParjtjU08vVrtu5T3V9nvkZdiZkpZFh0uP7MnSH766PF0eUOHDIffRtyBcMz83/XOFvZ1+tje5IrJS1nYu6/LeLz5tfXc++52rn95HbMnFFCcbsUXFLn8pDw8wTA7W5xxfauLlm+h3RNQ+bRk3+0zq2sUP1JTt0/lF422K3xBkcUrtnLdadJ6y7gRI/Exvb1JymeUYxrnjcmJ6ztr9wQUvVjV4lTW1xeUCFHlMcSLYzz0/k6+3N3Jja+up80diMm3bfcEYn4zOofnvDE5CsGavI89s7qGm1/bwAPv7cAdCKvm45GVVVx+Up6y3z26spqr/vIVkYiGN9ftjTv385dtZnebO2YMss61GXXK3vmnj2uwGXXcdtYwfKEwv/5xCS09XrqPMG4dJj2Xn5SnGuflJ+WRbDXwyMoq2tzSGsp2wgVjB8fEsqL3v0dXSQ15Hv+wmltf36i810kWAw9/sJM2d1/89pGVVdz46nrVNfJvXn96Ycz6Llmxld1tboIi3BQVj7pwXC5P/aean04oJBiBDfXdcYvANtR3o9frSLLqsJr0bNjbzXUvruXnL63j8me/IhIR+f2sUcydJOkWMRJRij3l+8h5DHKsI95cyHPWH5Nt7gBZiRYuPSE35tl+vWwTZ5dnK/tUvHdCnucki4G6Dg/XjC/AH+rDsUzMHW+/ih5Df79kSIzE3XfTbBIhkieOblu0fAtO35HFbo8/pIrvazSSHz+eLtnb4VHe4YHiTklWQ5/f4bX1XHhcHqk2AxXZDi4+XspZvO2NTcx+YS0XHjdEKfaM1i03v7aBkAj3/msbFx6fS5LFQFWLS9l/r51QoJxfovVJPD0bicS+X6+uqWPGmMFc9ZevuPHV9fx+ZRXBCLzyVd2Aa375SXmKzXjzaxt4enUNdpOevBSzsldIhYO7VLbT9S+vw+0XlWJP+d6LVmzh8pPzVXMfPY9ynEO2lePWYvTeQ7ZD4mH9lOJ0nv+sltkT8rnvvHL+cOkYnlm9i9kvrOVnL64lHIF0h1HBf/QYtsU5b18wLocEsx6rUf/dgHcIpLFLOqNdPb6A3yzfwuAkS9w9ZsmKrUqOVH2nVzkjyPphICzvanWp7uPxS6Qwb69vQBThxtfWc9+72wlH4PEPq3l9TT07m13c/+8d3Pjqeq57cZ3iU5P9DvHG1z/OIecqyPm9j62qxhOUdJSM/Wg7/BcvrePGVzdw6+sb4uYD1Xao99dFy7cwKMHCouVbBnz2QYlmBifH6oE2d0Ap9gTJn1Ld6oq5bsHbmwe0Sx5ZWUU4oonx80S/o4tXbOWCcdKe+eqaOiYOz+SZ1bu4Znw+cycV8tCsUby7uVHJgZftof7PkeFQF9TLZ9YjKbLfI3rurxw/9Bv9ZSa9RPx9TP775bv6xr6xw+fll19OaWkpP/vZz5gwYQIGw6F5KZqbm8nMzFT+zsjIiCnabG5uJisrSxqoTofdbqezs5Pm5mZGjhyp+m5zc/M3/qbf72fbtm3K3/uC1rhKbXdTB/62vQf1PD6fT3XvwyGCVotbsNLuN+OrbsAiugdMHhe0Wu6dPkJhypSTdIOd+wA4pzSTug6PkiQvK+O7p/d1Fmh3Sc44rz8Ud97a3QEiREiyGvh4Z4vC1NPm8iv3kEU2uuTEfZAO07lJ8YtDo9ckAWm+d+zoOUQzeXDSf62/7zbC/XF7sHIksBkt+8Nevc/EvzY18pMT1V06nrhkDL97fwtzTi9SjP/fnldOik2PVpAOYB29zhiIb5w0O33MmVjE7jY3L39Zy9LpZTi9Qe6fOZLf9TJ6NXT5aez2EQjH71r0o/wkTi0cS4/bz4aafft9xw6XHMh6HohuOxztr78Ju0cam/2lwKjlxZ+U0h3Q4LAa8foCqnWPh+XiTAfXvbhWMbavPnkobS4/z37Sx4Q0d2IRDpOWNldAcRrcefYwZk/IByIqI89m0ClJ8k9eMobmbn/ctWx1BlR/f13XyfljB/PhzjblNxev2MJtU0q4791tXDAuh+1NTnKTLbS5/AN2fd7T3AEDGPz990Z5D1q5sY5kixaL6CYhHMbvhx1t0jUmvSPuu2UQY7FxoHvy0YDdQykFRi0vX1FBpzdMklmLVXSyY0eX8u8+nw9dTzO/nVHGHW9tjtGjRiGBC8b1BRizEkzMGDOYX7y8jmvG5+MOuGPWoNMTwNsPA+5AmDfW1vPAzJFUtTgpTLfzq94uGP3XJdFi4LY31nLN+HzW7+1SOSSiJfpzdyDM9ka1w+DXb23i6cvGxjBO3XRGMdsau9FqBXQaDb99t48NbkHlCHq8QZ7/rJbzx+ZQnm3iz1ccR5fHT7pNT0LEyY4dEoOPoNWyzWlUvbPxmNdufm09mVdUYA5+O7viQHF+tNsLByoJoHrP433u8/kQOvdx74wR3P7WVuWgfuG4XNbUdsbFyuAkC/u6vXH/bWxuAm3uIDt6OwsZdBouPymP6l4W4mishcIRHv+wmicvGcP6+q4BnRjy9fWdXpKsRkx6Ab1WIBiOcM8/t8Xgcu7EItz+EA++t53rTi0kGFLbA/LvNHb7lI7lGg0Mz7DT7vJzxXNfctPEAkrsfsRw+FvtgYJWi16XeMB6dX/i1Tu4+bXY4v7+78Lh1LmH2y4ImBKpanbHMESnmSIYfF0EQyF21LXH/HteioUFPy4hO8mi2ADQ56h6cObIGMxFr1ljtw9vIER2kkUVUIjWow1dHm48cxjX/nWN0jkxWiS9GmJvp1e5J0CazagiOanI6cOLzLZW2+4iGI4flBAjkJ9q5bYpw/AGwxSl22ns8nDPv3aQl2LmoVmjqG5xMXawA7u/RdG3ByPRunmgTkvfhGfZBun0hBUb5HCf0eDwYzfevragcgROXxBvIMxVJ+dxz7929BaHldPU7VeCaHkpZh6/ZAzeQIgEs55Od4AUq5GrTs7joQ+kTrNXjR+qOpt3RnU71mhQgtYyXqP1q4zZL3d3qD4fyD7o9ASpbfeiFaRiTjkZbu7EohiW7HSHkb99UYvNqOXaCfl8sbtD1YFv8YqtPHLhaGraXLgDEm5lhsNonZybbKbV6cesF7j02S+U33j60jGHRK8eyPodiP/maLEXovEmM68WplnJtQuYw66YsesMBjZ2GRUWyWj2xU5PgPxUq8LMDX3JEQ9dMJJEixFPwMPwTDsmvaDYDZedOISXPt9DZUU2Y3MTqRM8cfEk+wjkf+v/tywXjMtRkn6i/Vr7w2m85Ll4vq3o9zHJYmDhOxI7aqpdz8LKEfT4gjR0eVUsnjKL60Ovb+CuyhFUZDvQaKC23auyJSIRSDJG0IV8Mb+fl2Jmb4eHPe2e7wXHPp+PHTt3xujc/ut/NJ7RBL1DRWSUl2KOy/za08uWHY1NuVPdio0NjMlNZHCylV+8tI7F00ZwwtBkvtjdMeA+2uUJKQnycoLHAzNHYtILCtbk/2/o8rCgspQ5L6/j2lPylfsMhMlkiwFv0Kv6XKuJj8vhmQ7Fxpjfy9a7q9VFICxiNepYPLWU29/czAXjcmKSJB9ZWcVjF49mQ303b6ytx6gT6PQEVLgUNBAIhmPYZL+NTz2eRO+t8fb9b/LNxdsz750+QrHFZTncOvdAx3Ugcijtj/5nWrmYQrZ1ZZ0uRCX39sedNxA/XtDq8nPBOIk4or8fVxQj/Gb5FhadWzrgua3bF4wpbOmP97pOD7dOHo5GAxkOI009fuZMLOSNtfWqTlLRNkFdh6RrgRhG98HJZvwd+w6ZD/j7sBUPN3ZbAglx16fF6cdu0qn2w7kTi7j33W1KBzp5jeLp2UdWVvHQrNjzk6wLZTHpBZItWpwDdGx+YOZIbnl9PfMmFan+7ebX1vPCVWPjBlAPxA90IPrnSPq3vf32uui5PVT6+EDHcbT5F2TZH3arWpzYjDouPymP+97dcVjnTBnLURYfOdrGA9/vmI6WeMTB4FYnaBCiCuyjGe/7F8ctWbGVJy8Zo3wWr0ipf4fmNJuRYNjH376sizmfL6gcwb3vbuPe88oHjPluazu4vXMgv3pv8wJFn/ztypG8fEUFXlHHNS+s+1Y6/VDmhByIRP9evLn/LjGJozUGvD/sQt/5Wf5vk0E34NlH9hf1/1y+fuX2Fh5dWc3cSYX7tSMGuv9A676/nIZ4+Ba0WpZOK2X+2+ouRyadoOpOdtMZxdS1duFt/WasDbS+8rN8E2b3hWzfaFt9n9jvL7IeP1p0LsRitzmQEDc59863Nql05ED+Jl9QxBMMq2K18ueLejvvPfFhNXMmFlLbLp3p4+mFaN+rLCa9oNjb/T8f2c/3P3diEc098fMK5POaNxC/K+QDM6Xcu8tPysPpD8bsAXMnFuH0BxmVEz8+le4wsbG+e0BfSf/PZDxmJVr4ZT9/oTwe9wA5ae5AiGAoPima/JwPf7CTh2aNoqbVpXRCir7/Q7NGDah75I64Y3MTWb+vm6JeUq/+17a5jkwMWH6nrMbUuGuRkWDimvFSt8BOT4Al08ridqZdUDmCC8YOjsHhgrc3K5iNxml0Qne0bh3ov6PnytoPw9EdSKMxFghHYor9lqzYyv0zRyrdOOXPH1lZxewJ+cq5U6NhwGIcd0DtB+7xxi+W9QZCA+bJDOTzECOwo9mp6kbo8oX6dd+Nn5fT/92I13Fu6fRy9kV1zpO/G23DyfurHAv59Tkl3Nqb4/H4qmr6S1OPj+ywhKMjoXM7gvHtBXcgtN98k3h6c8mKrTzY63fNSZL0ybWn5A9YnC5G2SEyruMVZkR3UI63h25v6unDHmAzagfsTHX+2JxvfEfECEozirCIsr7PflKjFDNFk2YM9Fzx9qhvypOIvu+Bzoc819HX3fXOFu6fOXJAot94e4FWoLcTrvocc+dbm5g9IZ9HV1YrdpTTHzpiMWAAjTE97v75l6uOI8liUNZQ/je5CLD/M0dfE4/cRJ5rMfLN5zcxAv4B9sN4ayR/Vy9oWLJi64AdE+UGI89cNpY1tZ0x3eEWr9jGAzNH8uhKCRM3n1m8X937TbiPnhv5c48/NOAcfr23i8qKbEX3x7tGJqDtb8u88Hktb6ytH3DM0WPo75dMMMe3xyxGqfRCzqnvf892d+CI5oy5QokxNuZAe1qazYhG02dLxnve/sXbC97ezOOXjOHnpxUqed/yv22o7xpQt8h4lOOkFoNWiT3ZejusRq+vTGoQb03le8prVlmRHVPQK/+Oen/uW/N474zcBXJbU4/SZTTemUHOmew/n95AaED7PhIVJxEjDFiLIa/VQLaERiPt//LZuKHbq5w3ou2lC8blKO+sPIZ45+2hqVa6vVJ3zyOpc0HyL8hEULXtXlqcvgH390yHiawEk4pkJBo/8dYgtx+xvXwuuWZ8flz7dyCS8wdmjlTei28ijob4BefyXhuNg4H25Oj9cUHliBhbT9Y7+3v27U3OA7IZ+ucDxXumeP/W0Bk/7zP6O7nJFuqiisx9QVF5P016gWvG57OxoUf5u39PuP7nZFkndHqCRxS70X4PeWyd7iBaIf473uL0KzlRbn+IHTt3HtbalKMtFvC/MJ7v6hv7xoLPzz//nHXr1vHVV1/x/PPPIwgCo0aN4sYbb/xuIz8CYjQaVRNhbHXFVWpDM5PJT8s9qHsfrsOwLN+mtWuRGKEiN4XmHh8Wg5ZAWERvTWFIipUiYP3eTtpcftXm1OMLcc+Mcu58axMWg1YxVuM68mxGRCKIosiNZxSztq4Lu0mPKEbiOmxe+LyWWeMkxp7oziIHsiaHe76j5XD/dn/cHqwcybmSRcZei9NHut3EkBQrgqBB3+ritOHemOSyDfXSAU0u9rzy5CFc9+Ja7jxnOKNyEnH7w1iNWrRRgc3+mMmwm/CFwozIslNZkc1jvcws7b3JxdEH4XhOxYdmjcIdFJnz8tcH/I4dDjmQ9TyUuu27yDdh92jAZn/ZsXMnXToHH+/qRIxIyZPlOQlMHJaBIGgULNf2dlBp62Xeq8h2cMtZw3B6QzGJzI+uquLZK8ZxzV/XKJ8/92mtwvQXnaAZFCOk2Y29DpAwyVZ93LVMtRlUf4dFCEciPHbxaLY3OXnh81oau31sb+qhsiKb3CQLv3t/J52egOJoi3vfRLvC3Lk//BzoHiSKER6aJcRcNyo/E0FQdyY5WnAL313vflcRxQh72t009/gwGwLUBgR+v1JyQGgFGJeXzMn5Keh0AsY2F0Oj2F2j2TM1GpROLNGOj8VTS9EKmpj57vQEuOef27jsxDylwxLE6thWp1+5fzRj4f4S4AUNMQdmX1BkbW0nr6+pVyUOa4jQ7Qvz7CfSYTWeI6bTE8Bq0OL0hZn3Sn8c5iMIGmpaXdz+wseq7w/EoBUQjIz5lmt+MDj/PuVI4zZatm3bxrDiYgpCIqkOC+3OgHJQH6jASxDAYohvY+q0Agt7bYK5E4uI9LLvXntKvqJD5Wt9vY5tdyCs6PH9YTPdYaS528dNZxRz77vbuKuylMZun8KEVpxhZ1ujk1fX1LFkWpnCfnjn2SNUzxz9O3JHXdkR8ewnNVwzPp/bl23ln3NPIT/NdtB7oKx373t7c8w7/W3w9tmutkP+LnxbkbF7uO2CL2raeWSl2vH8yMoqxlx1PCNLSlhX3cDt/ZJWH1lZxa/OGkZmgpl1dfGLl61GbUzwun+gLyfJwqIVW7jxjOIYbPqCIn/9tJY7zynBFxQHPHtZDTql86HymVHH3IlFCl6f+khKXvAGwtR2uMlwGFnw9mZuP7tkgHtqqe1wYzPqeH1NPZ2eAAt6i5BOKU5ne1MPJVkOspOteFt132q9onVzPOf8N+F5IBukwArDiosPejzfRQ43duPta/K++OwnNVLxztnD8ASkLsu3vdGXHFHb7mXJii3MnlDAL/++UZm7JdPKKE63MaUsi+buvmKy88bksKufbbZ8Q4OyXqDWe3/9VEokiKd34/oO7FJx8vBMB/e9u00VlLlmfD7F6TbJVjEIPPVRNbOOywNRVOzpaJ9CY7ePLY3dmPVa3lgr4XbepCKe/6xWKfqU9bBWgHv+tZ0ki4HzxuSg0UgJGfefX8Gv3tj4nfTq/uTb+G++LzlQe0HGW7yEoHhj37C3k18v+zzmHDR7Qj6ZDhNhUR14zkqQOrY5/SE6PQEEjYb73t3OgsoRNPdInS5f+HyPUqD3psXAwnNHxMVTRXYCvpA0tjfW1rOwcgTbe0kionXxLZP7dG5/3RrvvkkWvSp5bvmGBu6qLFVYVuV3yG7SMW9SEY+vqqbTE1CwGQyLVLd4FDbO/riNDv4sWrGVh2aNoq5DImuRbQl5LOfPPYUhKVbF5pSLcEsyHWxv6uHD7S2HxD7oLzt27mSX3/6Dwq4s0baOvBf3L/hZsmIrD8QhavAFRYamWpg9oYC1dV08s7qGJIuBUFhKdrh9Svx9VNCAyaDFYtAyb1IR3t4gbEOXp7cIKayyW//6aS3zf1yi3CfGru2/Txt1lGT2JcVLQUkLN59ZrLBdS8lgZbz+VZ2K/dQdCClJjtKZsAyDTkNBWvxkYLc/zOe7WrnsxDxsRq3iM5Nt3HmTigj2iwib9AJDMpLRaJJp7vGR4ejz/x2syHvrt9Wf8fbMaFv8cEl/3B7KcR1K+0MUI9wzI6KQI10wbuDgtaxr++uczARTXNx2uAPkp9qobnXF+HGrWlyKvTvQuS3VZkTQOAHJFlk8tUxhzI4Oap8/Noc/fVzDzWcW87cv61T62KiT3qtom0DWsXMnFcYE2Ocv23JIsXI0+j+/Sfpjt2d3+4A2XYc7wNLpZRh1EsnW4hVbaez2KcmKS6aV8dD7O1X3j94D7QP4IaMLmu6eUc7o3FTe39YcV2d5epMhkuOwlbd74ifEfNPZ90D1z5Fc34HO9VqBw+pPPRr9C7LsD7vbm5w89P5ORbcdCR/00aYfjrbxwPc7pqMlHnEwuAUoHZTA3EmFhEWUs4UcI4oW2T8q3+ubEs9MeqlAvyjdHpfso8crxVZd/jBTR+fGjfkerIhihHunh1TFddH+AXmMfo2BEwtSv5O+OdzrHf17A839t9WTP0TsymeI5z+rVc4sf1q9iwnD0uN+Z9TgRBYt36L6vWifvoz3b0qglf8+mLkaKKdhwHloczF7Qj5iRCJsEiMRhcQUpLV++IOdvDr7REoG5wx4H+V+A6yv/OzftM6BvV0HNCeHCy+yHj9acAux2HXubqeqJX6BSrSOHJ7pUEhJ+z9Hms1AKPzNxbb70wv1nZ6YfJV5k4rQ6zQx569bJw/jxc/2cP/MkWiABLOOBW9v5tbJw+OOz2yQ0gIHKqL0BqTuUzlJFnSCwKtr6lREZHK8QYzE5n3Nm1SEzajFoI2NO0fb9dGfyXgcqODA4w8xNM0a934pVgNhMbLf5/QFRapbJNKrePe39YvhyN8/bkgyu1td3D6lhEBYSsC3GuJfazFoKSk+/Dlj8ju1oa4z7lrUtbtVvhubSRe3GHnJiq0smhqfbFQmwNtfMedAftV4c2XSCyrfVacnQLrDKCU2B8JEIpJNc8G4nAHxGe/z6CI5k07ANkBxdP/Yc/8CVPk6s0GHZoBnsA4Qv5ZjdNG+cLn4R74myxHfX9L/3YhXADB/2SaevHRM3OeXn33R1FKe/EjycXR6AoQjUuGruXfuY/ZlmxGT33TY7P54OjfeuOy98zbQHjaQPVXT5pb8sL04keMDA83561G5MwdSmBFvDw2LfdiranHy6Mpq8lLMPHnJGNrdAfa0exQ7vf8z7Q8L0WQuWqHv7+g5OFi755vyJKLve6Dz4RngnfT17iUHuhcUp9sJiiL3v7sj5l7RpHEPf7CT568+npKhR86/8N6WprjP3NDp5YJxffadbJsOFNuPJj8ZiNxEni+RgddDvkaIk/Nl0guKn6z/d7WC1Ahgf3iUi4w73cGBiS4CIUx6Kde7KN22X7050O/0z3GIzitrdfnJS4lvB4RFVESt8a4ZkmqNIQqIzhFu30/jov54lc+oIVGMu+/Wd3oAqYviQGehw4nd/jrXtaed5e82sHhqKQvf2cIba+tZMq007lhlf4BJH9//P1Bx2cb6rrgEGfL78E3NI4w6AYdJz+8/UM+tGOmz92RSg9kT8ilKt1PV4ozRs/L7NVBRYDyCX3nNB3pn3IEQ2Yl9zavi3XugM6nZoGP5hoYBCQHk6wRNbMw6+h4mvUDGAPiK1ikVOYksWLY55hnECAxJtijfl9fymdW7YubDrJPim4JGQ0nRkfXpdte0oW3pm98XP68bcH+v6/Rw3picGBtvf1hu6vKoft8bp0j9QIhNqlqcStxW/s2B9kCTXiA32TLg+xCNg4F+LzvBzNxJhRSm22nq8tDpCaiuMekFEi36AZ9d9sucPzbngGyG/dkRA9klA+V9RuPVatBRnGEfkChCfl/lc0Sa3ajC8LxJRYTCopL/U5hu53fvbeeB80dSkn/ksCv7PSRdW8aCtzeTbNVj1Mc/U6bbjVwzPp/nP6vlpjOKyBwy6LDGsI+2WMD/wni+q29M+KYLHA4HgwcPJicnh7S0NOrq6lizZs13GzVSV86mpibl7+bmZjIyMmKuaWxsBCAUCuF0OklKSjqg7x6ISMlSo1QK96FZoxjSryDhaJRv09pVEDQMSbHS6Qky95Wv+WhHG8vWN/B/1W2IYoQki4FBieoOm+5AmOXrG3j+quOwGqUktr9+WsNdlaWqeVs8tQyzQaC62YkY0dDqlDrcmfUCrS4paf7BmSN59KJRzJvU1+WhPCeBh2aNUpxMcmHKD3FNjsnAIgga8tNsnJifSn6aDUHQIIoRIhEoSrdz7Sn5qpbjYqTPSD5vTI7SmeYPH9VgN2tJsRkw6iSHborVwLxJasz89rxyPqlqxhMI8/Xebp74sFrpIBPNkiIbB9FOxccvGc0/bjiFEVl2pdhTvv5g2icfSfkh67YjLT69napmF8+sruHxVdU8vbqGqmYXezvd1LS6+GJ3OyDN8U2vrae5x8e4vAQuPj6Pn72wlu0DGKJt/dicGrt9OH1BNJoI+WlWBcO721wkmiXDu6XHx4uf72bR1Fh9+9a6OuXvBZUjWLGxgVSbATEi8ua6elWQXytITH1yUvGeNrdi1Effd+7EIua+8jW7213cf37FfvFzoHuQIGiYUprJP+eewiuzT+Cfc08ZMDHzGG4lkRPKznn0Yy7+4xdc9JcNVDW7CIQiPPFhNY+urGb2C2uo6/QgihHCIpj1WuZNKiQrwYRRF1vEKSdnzJlYyOwJ+SRYDPzp412qvXz5hgYWTytTri/O6HPkLOg9NIO0Lqk2g+p7cycWKf/fH1MrNjYwb1IRKRZDzIFZxqic0P74Kun5kq1G3lxXr3LmyiLr7gWVIyjOsDF/WWy3zk0NXXy2q4097e6Y9zG6QDV6HOl2E/1FFCPUtLr4bFcbNa0uxP6D6ZWDwfn/mtR1erj2r2uoanWhFSR2UpNOSviUMWvSS8GoTneAv35aw2/OVeu8RVNL6fIEVY68wUkWJWiTbDFw85nFCgZlh0NLj4/lGxpItsTaCTf9P3vnHR5Vnf3/1/SaZNITEhIISUhIQgIELKsooIj+QEDAuogufll3RVh7BVSwoNg7dt3VxV5YCyvqoosNCx2SEJKQkJ5Jpvf5/XHnXuZmJurawF3O8/g8OElm7tx7PudzPuec9/t9QjFrt7Rw46ll7Ot2kqjXEAqHaex20+0UCiIiE1o4DE98Us8Z1XlYnT7uixBIiOrg4nummrQx175oYpHky2JBpsPukd2jH+pnYtyNVv1aNKmQNQuO/FH+lhlpMEbbQGvhv9WcAw0TRBpS1gEGg01aNbvabKSZtTxw1ihWnlbB/WeNYmROYqRQFeamqL3b6vKRqFcLCjZnVHHVScOxeQI0drvpcfik34vem1v7POjVQjP2sQ17WNbPt5ZNK8Pl85Nm0vLq181SUSszSUdusp7LJpegVSvY1NjHpS9+S3qCFr1axZI3tjF1ZA5KhSJmXSyeVERRppmXNjVz1z9rOG200FxfvnYHfzmxGLVSaIResuZbtu+3o1SpftR9b7d5pPsarb746O9HSzn453u7B1wPA+UgTuV/f74Qfe9Ei44vS9/cjt0T5L71dbTbvCQbtVw0oZCFE4X/5owZHDMwsOSNbfz5+EI8gSAokPb8aNIIMR84c2weazY1ccfsSlKNGgozzJIftfZ5SDZqYuKuSKzTP657AkFumVmBSglXTC6RmjIiEKOmw8HCF75h4fPfcERBOkvf2EZzn0d27fd9UMtpo3OlfOLe9bWS3967vlZqsuo1Sm6dWc6E4WlUDbZIAMYnPhHy/bver0WlVPCPiwfex39orB7IBvLbvV2H7tlS9LeBlEj65/2tffH9M9diIBAMoVQqWTRJ8MWROYnSM7jqla24fEHu+mcNvkAYty9AaVYipdkJnDn2gBpja5+Hhz+si4mHl5xQTGufhzveE8CiVpePhz+qIy/VKPM9q8tHkl4j/f9jGw7kwvH8dPn0cnqdXh7+qJZ7z6hi4cRCLp9cwitfN3H77EoWTixk/jEFdDu9/GXNtzi8Qeke3PeB4H9KhUICe4r3Q/Rb8XOi6xO72myEw8TU28QzkZhzvrv4WK44aTirN9Tzp799zaMb6pk1OheDRskdsytZOauC5/4w7mfJR51K039cezxULDrXae3zUBcBlkVb9HBCtOk1SrRqFas37JFqVteeUsqjG/bgC4Rp63OzfHp5zD46NM3E0je28fC/6gGozk9GrxGAnTnJBkxage1dbPJaXT7aImd3Ma9dPCn+2WrZtDIMWiVuv5+Fkdg+/5gCOu1envp3A3dE+eX9H9QyIsci+z5NPXJ1vaVvbmPlrEqMkSZT/+9f3+Xg3KMFJtsUk45nPz1wphSbT4OSjTG+urfbwSn3fcylL27m9W9beHtrK3s6/vO4KdqPqX/DwHtm/1z817ZD9bqUSgWj8ywsGC8845wkQ9zr3NvljLDkCnWDS08o4tk/jGXV7Ep0aqUsBxbXRYJejVmn4q3NLaSZdbI6rnimemzDHoakmmLruzMr8AUCHDk0hatPLmHqyBw8gYCsvmFz+7G6fNIwUnQeK8bjgjST9J7LppaxdkuL9P8DgZ7bbb/MM/mpOcXBskS9KqY+eeOpZSTqVWQk6LC7/Vzx8hb2dDqkmuTwzAQWjC8gP80Yd/BAHKgJhUMxMe/SE4sxaFQsmlTII78fw7TybNRqeT0q+r06I4NaJp065mfZSYYfdfb9sfHn17SBzvXV+Sm/aj31UK4vfJfvivUat08gvf1fq0EftkO3H/FdfqtWwQ1vbsegUfHEJ/VSzL15ZoW0v4mm1yhpt7ljYmz/3xHj8U2nlvPSpmZae13Sfv/gh3U8/nE9erVKAuoNjZxN+vd8f4wplQpKE7xSXX3NgiNZs+kAcYl4jWI8+Snx5td+3vE+L9p+Spz8Lfrus38YR/WQZOZU5/LwOaNZt30/W1pscXuVK2aUs/bbFs4cmxe33yTW3IG4f3/TqQfyPYEwJP4ZeyD7T/07L8VESVYij39cz4Mf1knEP9EmnD1/mEpDvOcrfvcf8px9waCgMtrvPBmdAx8MfzlU/RYgQa+SlCujLTpGLp5UxCMf1aHXqGJ6pjdMK6PD7pXAA/3fQ3Shtza3xKyRaHvhiyYyEnXSuWzB+AKMGhXbmm2s2dTE3adXcemJxSwYL6hz7Wp3cOXLm2m3uel0eDlzbF7cOa5lU8t4PDLQbXX54l5jslHIs13eAEatijPH5km10yc+qefMsXkk6NSoFApMWlXMNV720mbSE3WsmCGvlVxyQjGpRq3stcWTiqSeRoopfn7f4/Lh9gViem43TCvD5Qvw0pdNMWs7+nvqNUoCoQOD3v3f36RVx+2PbGvpY+mbO7hp7Q7MOmFI36xXxf1do/bH9Ud+LrMY1eQkG2TPYpBFj06lYNXskcI1alTs63ZKPdVo8/hDEiA/2vQaAXQfz0/Ff0fH3ui6arwa680zKwhGEPGXTy7mnjMqWTC+gGf+3QAgxU6ryycblo/+zEEDnOmUEVKKRROL0KoU1LTZYj5/0cQiHtuwR3aNLq8/bs/t8Q17eGZjfexszvRyEg0qbopTC0w1aqU9yeMX1IpaI/MQ4uffu3533LiRbtbJXhvoOXXZ48eW0YMtLJ5UhCIcZs6YwZIf5FgMkfsTvw+o6/dev7ZpVYqYe7xsWhkOj5/tzb0xMezGU+V7WLTpNUq8gRDPftrIkDQBHNba5+Hhj+pi7vmlJwrxSKxpLRhfINVu+79nNDCjfx1J3JOVCkGd8qVNwvNv7Hbz5+e/xqA9kKcDMWvk0hOLY55JfqoRg0YlI3MpzkiQ5mrFexBvjYkxtf9niT/PSzVyxUnD4+YV4t+K+1M0GeFA9+PyycMlH+v/e1lJhrh17Xh7wU3Ty+lxekk1aQesGYkmnNv9Mb70a1rqAPtVa5+HvBQjGQk6qvOTSTVqWDJ1BK0RAsiB9r/l08vjnt+UCrjkhGLSTNrvfB5i/Fn9rz0SAEr8+aKJRXQ548eNqlwLXY4D/Yh4813iNSabNANeQ6fdy+JJRcypzuW2CKlv9PusmFGOy+eXeh39c9PFk4pkMw7RPlmQZuKlr/bR0uuK+93WbmmhJLJfDLQm9ve64sZTEZxk0qlj9oHoa8hI0GHQqKReyJpNTexuc8TkQCbtgXOyQSOcqWV+fmo5hoMcc40aFQsnCGSkC8YXcNa4PCxGTcyetmiiEM8au+X1/wXjC6S8YnCyIe56DYaQAGbR9tbmFm6eWTGgH4l5dkGaiZviKB5qlApZLLe6fBg0Kh7bsAe9WiVdS//1NSoqj4n+vP6gvOhnPtCa0atV7LO6JX+Ll6u8tbklJgdeNrWMZzcKOXSqScND54wWyC9Or5JqHmJMzU81DpjDP7tRUBBv7HZ+Z0y5OTJzEe/5iCDqB88ezb2RPGzNF00x5+0bTy1DoQjT6/KSqP9eDblf3BL1aipzLdK+Ivb/+58BRN9VKSFJr47JS2W+PGck9585ite+3sfgFJPsfZL77VOiDfRv8f+DIbjt3Z2smFEedw+8fPJwzFoV90YwM+02z4CxPd5cWP/fa+lzo1eruHPdLjIS9XHzin1x1vHdZ1Ry9+lVEmF6vD0gP0IwLL721uaWuH2778pLbphWxjMRvx3IX5dOHYE/GCQ9QcvovPi52NghKTz6+9HcNaeS0qwEdGqlLP5mJem5b30tT3xSj0mr5s51u1g4oYgk48E9o4l1D6vLh9sf4NG5Y1Aqw99ZLxPPQh1270HvFR+2X95+am1swOh8xRVXcMcdd1BSUsKxxx7LmDFjOOuss7j11lvRarUD/dkPtoqKChoaGti3bx+ZmZn84x//4M4775T9zsSJE3nttdcYNWoU7733HkceeSQKhYKJEydy2WWXcf7559Pe3k5DQwMjR478j69BHJYqWXTsT2ah/LXtuwZEvgvl3dDtZOW7OyWVBBH1vnLWSAZZ9GTFYYT4dG8P5x8zlPve28W5Rw/l6MJ0/KEgq+eOoc/tJz1BRygcwqxT8OBH9Vw+uZieiKpGp92DSqlEq1aQYtYSCAYpG5TFqDyLdL8B6TOjh34VCji2MI2xQ1J+E8/k17Ro9befwph/sCweQ3a00sVbm1tYGklkoxkrWvs8PPTBHq6cMpw2uxeLUUNbn+DzD509Gm8gRJpZi1Yd5ppXt/LQ2Sl4AweKuVW5Fu55v0b6/8KMBO49s4oUk5Zkg4ZRg5OlezkQU+z3rbFDwX7Lse1gm8OvjFEx+PuXTWQm6iWlA71GyS0zK0g2avnrZ03cPmsk//fcAfXO/jFUr1GiVcUy6Ll9Qb7Ya2Xrvl7+eNwwnpxXjc0TIBAKsWxaGY/8q465Rw5h/c5WHp07hl6Xn8xEPWYdJBmyyU1JIBAK4fT4ufC4QkKhEHs6ncw9Mp81m5o4o1oYyr9qSinL1+4gO0nPnOpcspP0/P7IPMw6FfeeUYVSoaCu0yEl9Quf/4ZLTyiKUZOM9p//ZA8Sm6Pft24O+61g8QbK7l1fK1Og8PhD9Di97Gqzy+Lo4klFFKQfYFCLZusR2TxvmFbGYxvqmFiSxStfN/HYudV02Dw09rj466cNrJ47hk2NVvb1uLhqSgkr392F3SMU4wZZDJh0ah74oFZiixT9bOrIHNRKeGLeWNy+AIkGDX1uP1eeVEJTj4snN+7lqiglHLGQ+cCHtbLvr9coJYCyXqOkJDOBhRMLeeWrZlmBW6tW4vDGb5yv39XBfevrWDypMGbdxWPQipc4/6dKMj/Uz//XTIwVG3Z3cPlJwzFoVDLWuyVTRzA8M4Euu4cb1+7kmpMFIJzIiK1UgNcflIorYq4Y5kAR/ZEN9Zx7VD63zKzA7Q+SZNCQkahn9YY9zD1yCE9u3MuZY/NYNbsSlVJBqllLW5+bFdMreO6zemaOyuPGtTskBqvowV69RolZp5IKuXPGDJZAx2lmDatmVxIMh1EqFDy2YQ//N76Au06vZFebPYZlX1IUjRrk+U/8rD9ITowHRw9L/VFxUjxE9v/sQ2HA4tey/JT4zJB5KcI9SDHGZ9ky6dSkmbVoVCpJ1VuvERqSaiXotSp6I2ehFKMWs16NxajhiU/quWN2JVa3n163H71GyeOf7OWSE4q5+/0aWvs8rNnUxMO/H8P2lj5a+9zceGoZy97czgufN3L36VUEw2FSTVq0KgX1nU48/iB/mVSESaem2+Glrc+D1ennyY17uWxyCSDExT63X/LH/BQDHn9AAm6ILN3PftrIWePypCakyNjq8Yf4uqmXxz+ul/L1y176lufn/efnbzgwnBftz098Us8/Lj6W3e32710PA+UgVvcPG5r6LVv/ewfyxmd0syo9Qcu5R+XLYu6KGeVx7503GGL1hno8/hD5qQYeOHs0vkCQx/speqgUcP0pI/CHQmg1Kp7ZuJf/G1/IE/Oq+XxvDy29LhZOKOKBD2uluKtUQlainmf/MJZupx8VClZ/XMdFE4QhjO37bZRlJ8maMtEModGA1oFIIETVKPF3xZ8VZybw1HnV5Kea8Fv3M3zIYOo7HXEZzS97aTNvLzqWIwvSYu77z6HOOZDf7myzMTTt0Mx3RX8biEGyf94vgin6+2eKWcueDie3RMVLkTlU/N1QGAmIu2pdjez3ko1aKS5tabHRub5WiocWg4Yd+/u4+e2dePwh1nzRxF2nV1Hf6WBQkp7sJD2rZlfi9AYYlGzg3vd3S7nxlhYb2q+beGJeNVann8wkHX+dP45uh6A2mmhQ8Zc1W2jt83DkMBuPf1zPgvEFTCzJ4ta3d0r7+/xjCmS+J96fkqwEXL4gFxxbIOWx4s/EddqfxTUYghSjlpe+auKv84/AHwzF1HuUSgWhMNLZFIR75/IHZet95ayRjPkZ/GAg8oPfQl2kf64TDIXi+min3RvDcHrTqeXYXF7OqM7jiijfvWZKCZ5AiJXv7SY5As7MSzWSpNcQDIXwhwQCEYCV7+4mO0kv7fM9Di9D08x4AkGunlJKgl4YDvCHQhK78iMb6jn/6HxuPLWcUDjEs38YR6/LT6fdw+BkA/t7XXQ7/axad6CuNf+YAqwuH7va7FJ+CMjYT5dOHcH9cZiXN+7p4qVNzdLn96/P/eWEIjx+Qb1cHPiPvnelWYm8HXV+Vypgyr0/XBn4h9iPrX8PtGcebPDRoXpdcGBQ/dIXv+WCYwviXqc3EGJDfSdPzKum2+nD6w+x4LmvpOd888xyLp9cTGaiAZUCkowaLn9pCwCXTS7m/g9q+eP4AqoGW3jqvLFsbe5l+fQylryxnaf+vZeFE4t4dO4YvL4QmYla/vZ5A3Oq89nZauO2d3ah1whNXbG+sWhiEX//silu7iD+Oy/ZSJgwK2dV0NLr5oUvGpk6MkdSK8tLib9/eQMhQqHwz7pHH0qK3/+paVWQkahl9dwxWF1+ko0aguEQGjWs/bIZk0GHxx+SFLcvOaGYVet28efjC2nocsRlMl+zqYkrThrOjla7NHgwarCFvBSTRF7XvzZo1qtiYtYlJxTz/BeNwrCb+UDtQLy/ZdmJP+rs+2Pjz69p8c71K2eNjKnjHozrOFTqC9/lu2I+NzjFyCCL/pBfh4ft57dDtR/xXX6rDii59pQSDBoVd59ehc3tp8flIxgM8sfxw6Qhyejauy8QZsH4AkZkJ3LLzApZn2vJ1BHYPX4WjC/A6RVIFKoGJ+P2B3j2/HF02L3URJQzrC4fd86p+tljYCgYlOrqoVCYq6aUDhhPfkq8+bWfd/TnNXf1UjRrJFe9suVniZO/Rd9taXOTlSQMTvuCIU4ozWZDbY9UD33w7NG4fAHUSiUPf1THlhYb2UlWVs8dg0YlKOn5gyF+V5jKor9/I52xxb9fs+BI3P4gaqWSF79s4Kbp5fS6/FiMGv6xuZm/zj+CQCj0i9yr/s/DoFFLdTbR9BolmYk/LOePfr92m0f67lPKs37QtaeadDz/RSMLJxSSbtZh1Knpc3m5/8xRuPzBg+Yvh6rfAvgCYYw6RUyMvHVmBZ12DwsnFGLSqqjpcLDl3d1S/bTX5aPT7mVwigG1Usmqdbtj6gsrZpTj8gZYOLEQpUJYIw+fM5radnucHLmYFz5v4IiCdBQR1asnN+5lxYwKplflcNPaHTIVowXjC8hM1GP3+Om2exmRnUB+ihFTBGTdafeSZNRwzz93s6VFUCbNtui5eWYF10V9z2XTyrg/onqVZNTw4peNHFOUKevT5VgMpCYoufntGs7/XQEpJh01HUIf7JENArDpute2cekJRTx09mi+3tdLOAxPb2wAYP4xBYzITsCsU7O7zcasMbmCslcYbp1ZwTVR13PjqWXkpRgJhsK8/JVAvOb2BTBo1Ty7sZ4rp5RSnJ1EQbqBp88fS6fdi8Wg5d71B77nLTMrSDVpCITCMd/3punldDm8cfsjs8YIJG2tfR7qOx2ce9QQmrqdDLLoZfcjK0nPwfbcNpuPO9ftls63wRDc9c8apo7M4dWvmzltdC5D00wYtSp27I+vTKtUICnPyGpCGxt46OzR+IIhyU/Fge5719dKsffu06to7HFRnGmS1DpVCnjk92PwRPq1vkCQPk8Ahy8okDKrhZkt0e4+vYqdbTaCIXj4o7qYNSTUqOpjnuPiSUXkJBsYbDHQbvfS5/Zzz/u1XDi+gMWTikg362iyuqQc5gKLngfOGoU3EEKjUqLXKHhiXjVdDh96tYoEvZIFxw2DMLh8fu49YxS+YFDyrU2NfeSnGnh07hg6bAJIra7DLvm/eE/TE3T4AkEWTiyUlEtb+zz8eUIhz/5hHB02LwCrN+yhz+PnvjNHgUK4LwMp13bYvTHxYvn0chy+APmpJla+u5PGbrcUc1ZvqOWWmRU0dDt5aVNzjJ8PSzcz+CDij3pcPrKSdELdPrK2H9+wh5oOB7fPruTOdbtk1/zSpiYum1xCW68rvr9GnrHLF+D6/1fKin/sZEuLjb4Ne7jnjCpq2h1oVApKI/X6x+ZWs7m5F7c/xAMf1MS85xUnDccXCEnP8JWvm7hlZgWf7+0hGBIUjxdOKCI7SccVL2+VEZV4/CHC/ZSQrS4fuckGnjqvmnabjw6bW6qdKYBOuweHOyCr7d94ahlmnYqrTy4hzawlTJirp5Ri9/jJTNTx+LnVfNHQg1alxKg5AHqyunyYtCounywoYSVHAK6Dk408dPZo6jodVOZa6HZ4WTp1BHs6HFI8thg0eP3BGF9bMaOcQUl6cmdV0GH38sQne0k3a1k2rUwiu9RrBGDSXz+r5+oppahVwvrqsHnZ2+3k6Y0NaNUKHj5nNC5fJDYEg+zY7+GpT/bGfKaoPiaaXqPEoNX82q4qswSDMiZPEOtRV08p5c51NVhdPh6dO4a6dgf5aWacXr+0d5i0KkYMSuTKk4aTnqDD7Q+yYPywmHtdkGaKkDOoGKlVkWMxyGpgN51aRpJRS32ng0c21GN1+ehzCwSRWUl6LEYty9duxxeIVeRePr2cVLOGuo6QNH/w3GeN0hzYnk6HtJ4uPbGYUDjMkDRTzPtcPnk4z33WwOWTh6NQKGRk5eK6NWvV3Lh2B+celc/lk0sIhUI8ePYoAsGwpHLWYnWxZGopyUYtbn+Aq04qEWbWPmvg6imlKJWgUChk+8SaTU0smliMSadk1exK6iOkupdPLibZqKXDLsTY3GRj3Hg6PDOB+ccU8NBHe9CqFTxw5ihs3oBwRgkEuWJyCRaTGqvTz4p/7JTNh2pUCqxOgZzA5vGTqNfQafdE+pga/MEwSQYlT503li6HlzSzDpvbiz94cMn+up0+1nzZyP+NL8SgFRTh399h5vKThkv+Ke5XVpePUXkW+lx+6XukmLR4A0GyLXogNq8Sa7zji1MlvxJ/duH4Qt7b1sIZY/Pj9qDWbBLq+iHCcWuweakmDBolD/9+DN80WdGqlFJO3hmpJeelGAWRAbWKvBSjBDyNVhYX11d2kp67T6/C7Q+SbtbR4/Jy9ZRSUkwarE5/bM54ahkpZg1vrWuR8pOHP6qLiX9njs1DqxRymkAoRIpJSzAUYuHEYrRqBU//u56SbIukBr1sWhnBUBijVsX2lj46bF5OqRhEZpJwlu6we8mIxInjh2cKNfTJJQzP0krrQRtpAIoxvMPm4b71NdwwrYwboq5NzJfSzFqueXUrvkCYOdW5zD+2AItBzRPzqmmxuslJNpCgV2P3+PE5w9i9vjje9OuaPxBCrUSaPRFnmPPTjHF993fD0mjrFYhOxJ+rFPDg2aOwuvzo1So0aiUr3t7BgvHDSDGpefr8sWzc000wBPd/UCvFdfF5R+e/0f/un4e09nlI0Kk5c2weg5L0rJ47Bqc3QKpZR1ufGxRKuu0eqW8c78yYnaSnLDuRrEQ9T58/FpsnwIoZ5Vz/+jZZHM9LNdDrCjD3yHz++lkD844ukJ1TzDo1oXCYNZuapHtWmWvh4Y9qOXJYupQzRKvm5loM5KUaUSsVaFTCOdOoVVOUYebhj2qZVJolzf14/UGC4TDTq3Kke/zI78fQFZlVe/mrJmaOHszqDXukvakzEpvnVOdSlp3EYx/XcdHEYjz+IAatMmbtLZk6ApfPT6fdi16rYeV725j/u6FU5ydj8wTIMOtQKMNcePwwFCjY1+PkjlmV+EIBuh0H13ej6x49Ti9uX4hQ6LvrZWIf/9ENezilIvugXv9h++Xtp9bGBgR8bt++nfb2doqKirjjjjuk110uFy6XC4vF8pMuXK1Ws3TpUi644AKCwSCzZs2iqKiIe++9l/LyciZNmsTs2bO54oorOPHEE0lKSuLuu+8GoKioiJNPPplTTjkFlUrF0qVLUf1IhZHf6oD+jx0Qabd5mDoyJ2bA8apXtvDX+UfwyleNsiTrrc0tLJ9eTp87wKbGPhJ0zfzx+GF0O3woUGAxalAoFOhUClr7fFhdPnKSBfYhrVpJj8PL6ohyQn2HHb1WTXqCDpVSgd3j5/O93WQm6ilIOzBwLQ6x6zVKThuVc0gUeg8l+y0Ph4gWD9B0X6SQ/MQn9SycUMRfP21g6dQRErOF+Lsf1nRxzpH5/O2zRq6YMpzMRAOdDi9mnYYuhwen18/9H9Zx46llaNVKiR3ihmllPPRRLVPKs+nz+LloQhHPbqxnUmkWezodFKabKctOlK7xUB7C+iH2W41tB9tccdS+po7MkQ3Uevwhrn1tKwvGF3Df+jpaowaAogF20Ylop93D1VNKuO3dXdLrKUYtOckGVm+o58OaLkbmJLIoAtqwGDWsmFGBxx+kbNAwuhxe0hN0aNVw0fObpaKtqHK4/K0dXHBsAS9tasbq8nHXnEpWvreLRZOKefITgc2y/9D/4klF3PDWDqwuH5ecUCx9X48/hM0blIY59Rolby86VuZL0esjO0nPaaNzUSnBoFH/pIG4w3773epdouk1SjQqZVxg6CO/HyP5oNhwuev0KkLhMDXtdp7/vJEzx+Xx6IY9TB2Zg9cf5LrIARFg1Xu7OeuIfB75Vx1/OHood59eRVufmwSDlrv+uZtrTxnBnycU4fMHWTq1jKZuJzfPqMARYX3VqxUYtRr2dDq5/vXtsnXw5Cd7eOq8sREVGxUqJfzpuMKYgoPIgrZ4UhE3v70Tq8snFXwuPK6QEGF0agX7erxx43Qw8r8vboo9cJ85No81XzSxYHwBxZkJlGYlxgVaDKTkUNJvLRy27zYxVhxbnEFdhyMGUL987Q7uP3MUgbDQhEg167jyla0xz/T6U0pYNrWMG9cKvtLa65KKdK19Hu5dX8vD54ymrddNMCSwfU2vykGrVnLbaSPpcfpIN+vQaZXUtQuKI3f+s4aFE4p4+COBLUmpQAIyi5+7eFIRu9rsPPFJPZecUMzTGxvQa5RU5yfT1OOWFSwXTyqitddNMAx6tSqmISmuxR+ilhzPz37uvKT/IVIb8lJV8NvJJX8OG5oWf0hsaEQByBhysrLfMNblk4eTaFCjUiq4pN+zu/Gt7dx7RhU799tJMmi56tWtAFw0oVBin39mYz1zjxrKbe/skmL10xsbWDC+gKIMM1mJely+ANkWA9e9tpXiDDP3njEKfygkFag77G5ueHOXFBsf+lcdl00u4cmNe7l6SilPbtzLheMLZWzWYRTSMGtzr5u8FCNatSIGuBFNlCKCCMV/R+frD35Yh9Ud/FEkNAMN56mU/KD1MNBaSDYcXLa2X8Pi3bv+gDGlAm6aXs7eTmdMzN3X44p77/Z0HlC9a+x2s/D5r3nw7FEsnTqCm9bukIEqlr65nXlH56ME5h8zDF8gxJZOByatmqVv7uCooSncPKMCuydAgl6NTiP4w+Mf72Hdji4pXta22ynKTGBYuonHPq6TCs6lWYk8/FGdbEhCBMz3dy29RsnY/BT2djlk4HrxZzXtdqZX5lCQbma3Feo7HXQ7vRRmxFfyGmh4/+fICQby25p2OyOyEw/J3EL0t91t8QeC+u8/ZdmJMY2HFTMqaOp2cff7NTH7fzSZCRAXiLt87Q7pzCWa1eUjGAqzz+rCadSQkXhAhW5Li43la3dw2uhcbJ4g7X1uclOMBMNh9nY6mDUmj0f+JfhbmknDiEFJEomZVqlgc3MfT/xbIIqAAyAApQJWzCgn2aiRhuui11+074n3Z1ebnfvW18l+T/y7MXkWxvx+NDe8uV32Xms2NTG9KoezjxhCmllLXkr8mNr/vHDa6NyY9X7VK1uoyEn6yb41EPnBb6Eu0j/X0SiVGLVqyR+jzx5atYLVc6vRqBSoFSFWvlfDoknFEpANhPva7fJJg7utfUJzTq9R8tjcMWzfb8eglRM9tfZ5eP6LRh46exT+UBiXP8ht7+zitNG5JOhVZCcZuPGt7SQbtVx50nAGWQwYtSoMWhVhlNhcflZvqOOsI4ZQ3+lg6Zs7WDSpEJA3gOINwYzJT2bRpEJKMhPosHviMvtqVQKBSpJRG7dBatCqJX/uf6666/Qq8lOMNFldkv+LKrcDKQP/mLPUj82BD1Xw0aF6XSBfMw3dDikPiD7TZyfpGJpmZP4zm6QabvRzvu61bSwYX8ATn+xk7pH5FKrMWF0+PH5BTVdQqQ/i9AWobXdgMWp54MM6rju5lLQEHTqNErNWjVEbZPk/dnDG2HyWr93B+OEZ6DVKbp5RQZpZw12nV6JWKdnf62J6VQ42t1+WO+jVB5hROx1eKnMtrFq3hTOq84Qh7cgQ8F2nV+EPhuOCEZe9uY2nzhv3s+7Rv+U6g9uPoGATVqJU+NGpVaBQ4PHDC5tamH+MABIeNySZqtxRBEJhlk4dwb3v10YAG3qenFeN1e0nHILmyLPTKBU8/qkQc4almzmuOEPa+4akxd6TovREmnrc0gBNkkFDbbuD6VU5FGWaGZufIgOiRytk/6cN1N9CbyD6u+1t62FoVspBB3AczOuIZwP6rk94nrfOrCBMiMHJBz8OH7aDY4diP+K7/DZMGKvTxxXvHOgz3TyzAodbIP8Sz9YlWYkEQkGpv59m1vLSl000WV08c/442mwe9nQ6eOCDOqk/9PSnDdx1ehXVUSTMoVCYEd2JHD0s9VcBZ31fzP6pQzG/9vMWP8/btY9jRpZQkZP0swHdfmu+a9apMWjUjMqz0Nrr4sGPDtSCqgZbMOtVPPxRLZsa+6T3s7p85FiMDMs48B3jgYKvmlJKRY4FpVJBIBCioTudP0aRkqyYUU5VrgW1+pdDt0Q/j1Ao/JNz/p/yfIekmuICp8sj9+hg2qHotwAqpQKrM4BZp+ahs0fj9AWxGNSkJWgjBKIenN4Al08uxmLQ0mR1seT1bVhdPpZMHcGW5j7W72zjoglFPPhhLXfMrmR3u10AV21s4NjiDBQKGJOfTCgUIkGvFsBvwO2zK2nochIIhSjMMHFyxSDueG+3DHjk9gVltTE4oCTYaReABEPSTNR3OikblMS3+6z0eYKkGDU09biYd3QBc8YE6HR4ue2d3cw7Ol8GyrC7fWxpsVHT4eC6U0o5oiCdT2rbmTE6j26Hl4wEPS6fh20tLiaWZPHGt/uYMWpw3GuyeYNo1Eoe/1gOen7ik3qemFdNMBSiJDtRGnJVKMI8+MFeicCtJDtRAqpcdHwBZ4zN58ooIq7l08tp63Nxz/s13D57JB02DxmJevRaJYsmFWPzBEgyaNjb5aCh28mRBSl0O7w8Ma+aHqefVLOWu9btkoad+/dHolXsEgwCuMikVeMLBinOSMDpC2DSqnH5/KgO8npy+gI0drtl3wEEIk+RZPOeCKghM0kfU9e5YVoZbb1ujHqNBJopyjBzWwQ8OGZICi99tY8zx+Zxx+xKXN4A3kCQ5/4wjv19HrodXlJMGna2BdjdJgDqBkeIo32BEDaPj1A4jAIFNpePowpS+arRSopZz0Mf1XJEQTrBUJgUs4ZBSQZpVqDP448Q/QdJNGjwBoIUZ5rZ3+fmgbOEs6ZRq0KnEYgKm3vdpJk1pERUAh/ZUM9po3NRKLwUZySwdOoIAPzBAL1uP/d/UBsjjiHWbrVqBbeeNhJnTwCDVskrnzUy98ihXDShiF6Xn/REHS5fkCVvbJPIzqKJLG+ZWUGnzc1Na3fGnCP1ajVXvLyZK08qwahVseC4YSTqhYH8dpuXZW9ul8jl+gMJ1mwSVLgWjC8gP9VEok7NoxvquHhSMXXtDi6bXEJDlxNvIESfy8+6HV2ML8rgiCEprN5QH+PnCXo1HMRZeLNOwxd7eyRCO7mF4/r10YV2shMNvL1lf1xw2qKJRTzwQS1nHZEv1TjLsxNp6nbiC4bwBuDKV7aiVStYOWskFblJOL1BjixI4cmP66WYqFcrUSsU3NEPJJeoV3PMsDQ+2dPF1JE53PXPGmaNyY1bb03Qa6garOWxc6uxe/w0drt4bEM9x5dkUJRhJjfZSH2XkzSzhmarRyIWXDC+gGHpZnQqJQ99VEdNh4NFE4u47Z1dMlDpytMqsLp9ZCbqWb52h/S3eclGet0+PP4gg1NNpJu1uHxB9nQ6CYZg7ZYWzjkiH38wiEqpINmgpTAzAavTR1aSHrvLy/CsRPrcfp49fxx9bj9mvRqPP4hKJQBAHviwDo9fALEmGdQS6D7JoKGh20lJtoVAKMRt7+7GFwhz7lH5FGUkcMkJRVgMWmrb7WQmGVCpFDR3uqX329XukPLC8uwkWvvcsrW1aGIRve6Dq/Dp8obITdZKwLNgCJ7/opEzqvNkhAxfNlglUrr8VANXTymltsNBTrKRna02wmFINKhRKiDdrOPOOZU4PMIeff8Htdx0ahlalYrWPg/pCTqCoZAMNKpVK1n8928k/xSFJMT5wetOKeW6k0fgDgTJStLxt/lH0OnwYtSqUCkVtPR6uOUdAXA0/5gCdGol+SlG9FqBdP+scXkEQiGyEnUk6lUkGyIzjXPH4PGHUCsV1HTYOXNsHoFgmIZuB3qNUkZWrtcIoEery8fKd3dL91CvUfLYudU0dTtJNGjRqtV02b0EQmHuXLebuUfmk5tsZOHEYgLBEGqVglA4TDisoGqwBa8/RNXgJEJhuPO9GqaUZ/PQR3XSvbhmSgnBUJj0BB37elwSEWf0Wl61bpd0ry45oZglb25Hq1ZwxeQSajudhMPw6tfNAhj0rFHCPmXS0ufxs+T17cw9Mp9b3vlWds4IhUL4gyHMOhWeQJjt9d2EwlDb4WBYugmN6uDmCx5/kE2NfWx67iuyk/TcMbuS2g47wXBY6k9F36OV7+ySarnCfgpHD0uhqctJRqKBFJOGh88ZzTf7eiUQ7oXHFbK5qRejViUj6nh8wx62tNiYXDZIOv8ZNEpG5VnY0+lkzpjBFKQZBTBenBpss9WF1RWgeoiFowpS2d/rIdui46nzx9JidZNi0qJRKnB4g2xv6SMYhsteqmXVnEoqc5N47NxqHF4BHObyB2izeWTzPeLn3DG7kotf+IbsJD0LJxSSYzGQZNBwYyQnPfeofP7+5QHwXG6ynmfPH0uX00eCXkMoFMIbDGPRa3D6hT5FdK/85pkV5KcYyU8xkpag4/71NWxq7GNkTiIXjB+G1x8kN8XAvm4nqWYdGpWSTY1Waf530URhbvKscXno1QryUoyy9xeJvKaOzOH5zwUQd26ykSSDGo1KwdbmPl77qpmrp5RK4Om7/rmbP44fhs3jx+4J8uBHddwyswKPP8QzETGPg23BMNg8fvJTDayYUYHTG8CkU3Pz2p1MKc+OyeVu/scOji3OIEGv4uhhqXTYvNR1Orj+9e1YXT5umFZGmlbL8unlQs7kDkq9fNE6HT5OG51LYaZZIkHLStJx3xmj8AZD6NRKHjhrFFta+mIEIJQKBW5/kNpOJ8ouJ+lmHa99s49zjy6g1+lneFaCFC9FkLxKKQg87G61M//1TdL3uWnaCAHwrBbipvDdVeztdDLvyS9lvhUMBhibn4LHH8SoU0lr4cyxeeSlGNndbufe92s4tjgDs04lAyyLqrlqlYK6djtmvZacZIEwos3mobXXxf8dOwxPZIbskY8Ego4751QybkgKNo8fvUbFsje3SbF10cQi1nwhiMZ4AiFyLHoyE/W09rrpsHu55Z0dXDyxmAc/qJEIVVbNGckz5wvk8WadigSdmm6Xj/xUM8kmDcunl7Op0Uq73cfaLS2cOTYPk1aF0yeQYa+YUU4gHOLZjQ1ccGzhwXJZyaLrHj5fkE/3dn1nvWzV7Er297q4akrpIdErPmy/vP2U2tiAgM8zzzyT8847j+bmZmbNmiW9Hg6HUSgUrF+//sddbZQdd9xxHHfccbLXFi9eLP1bp9Nx3333xf3bP/3pT/zpT3/6ydfwW7UfOyCSmahHpYyv0NDj9FGcZWFTQxfPnj+OT/Z0EQyB0+snLcKO/GFNFwDnHTOU1j43Bq2a1l4bWRYDz27cy02nlnPVKwfASIsnFXHm2Dx2tNoAeODtXdx35ijqOhwxTO8PnD2Khc9/8x99n/9F+y0Ph4g2EKBpRHaCwP7m9VPf7aTP7efYojQG90tWEwxqPt3bw/xnvuKSEwpp7vWgViopSDOhiCjPhBXg9oe49bRytrXYJLa5bfvtEjPYkv83gj2dTmlgT/S7KWVZh/QQ1mH75SzdoJAdJLOT9OSlGOL667CIkqJBc2AINpoBpTgzgbY+N06Pn6wkA5lJOqkosL3VxiMb6kk3ayUmsC0tNlw+oXB23lNfkmzUctroXDITtAxONXHNq1sktp28ZCOdDi8mrYrlb+2gpsNBh90jFZKcviDXnFxKZqKWeUcXYNKq+PPzX8eAA8VB67vfr2HhhELcfkEpqSgjgewkvTSw2X8AXlwf/RWjV2+o/80B0A81G2igLLrJ9MDZo+h2+OL6ZbvNIzH1iM26le/u5Kbp5YzNT2FEViKZSTqWTy9nR6sNu1cOct7SYoPPG7n1tJH84WnBDxdOLKTH4WF6VQ7NPS4K0k385cXNko+G2uwMTTex5I0DhzhR2cPmCVCSlciTn+xhUmkWCsDtD3DP+hqunlLKy18JDKC1HUIzqDjTzKUnFrPP6pJUZwHu+6CWe06vIsWspSvSwPyktnMApk9h2Lm1z8OznzZKRatxQ1PISTIwKs8SAbdlD+invwUlh9+CibFiV5ttQEXWQChEskHDtSeX0GmP79cpZj19Li9PnTeWZqubgjQjLX0eGVNVt9PLIIuRPz//NclGLecckSexXyeb1DRZXdz/QS1TR+agUsI1J5fy0IdCw2TFjArsbh8vRVSRXb4ATT0uMhJ1GDVqFk8q4umNDVhdPm6eWYFSqZDAnuI13ru+loUTCvEEBMIUsUFdmWvB6vJy35mjpMET0f4TP/sl8pLoQ+TOnTtRKnN+9Hv9Fq3/kFi6WTgnfdUksKJ2eQ1kRxrh4tDE/l4Xrb0ujDpN3GfnDYQwalXs73NLsVyhQGK3vPYUQdHLGlFOXDihkKxEPU1WF7e8LYA4b589ErcvwKrZlTR0OwmFw2hUwrB6TpIetVLNnOpcqYh+9rh87lwnkDz4QyGWT6/gvig265uml/P4hj2yGGl1+XjonNH8+W9fx4Be9BqB9fCpfzeQn2rgqiml1HU4JLVlUZkuxaj+USQ0Aw3nfb63+weth4HWgilk/3kd5BC0/gz/3kCIZW9ukwrJd8weSXaiDl8AnP5YEpMXNzXHBW88EEf1rc8diCh3V0vMxWLR+oUvmlg8qZhLXvyWB84axb3ra0k2aqXmoMMTINmkocvhw9XrR61SUpJtoTjLglIhNCVBYAzeZ3Vx7tEFNHQ5JQbKmg4HcKCRu2ZTE0unjsCsV0vrSrz21j4XD/+rPsaHRV8/elgq+SlGWkNJfP1tC6EwZEQpP4n2XcP7P0dOMCTVFMP+G32Nh2JuIfrbiOwE8lNNsmuPt/+o1UpmVOZQnGGmtc+LWS+wDwtqxLH3Lz/FIJ03XvmqmcsmF8f9vbwoJl6x4bi/14XTJ6j6jsiOrxp8zxlV3PLOLq49pYRh6WauemULxRlmLptcgi8QJDNBH1Fi8ODw+mnodhEKw/SqHExaleRXy6eXk5mo46lP9rKr3cE5R+QxOMUoGygRm+qAzBfF7xBNbrViRgUPRlR2optrIjO41enljvd2o1UrWD5dYA3uD6jvf174oSqsP8aMIedvui4SnevUdzp4/otG2QCPSgG3zCwnP9Uk3eMNO5o5oiCdXpc/5r6GwvHvdZfTxwe72jjriPyYwaw/H1+IPxTGrFOjUgRlA4VinjEk1UQwFCYYCtLpCHLf+hopZ/3z8UU4PD7JJwszElg0qZBRgy209bmZM2awjMldrxEY1e9fX8Os0XmsfG8XZ47Ni7muxZOKpO/w4Ae1nDUuXyJXEd/j2Y31LJtWRp/bhxJ4fF41KoWC7CQ9gaBARlfbYefFSOP5sbnV6DU/XBn4h9iPzYEPVfWYQ/W6RBPXjFIBde2OCKgujFIBLVYXqYMS+fPfvpFy3IFqZWKue+OpZdKZvcPuw+MLoteoKM1OjMofhpBo1LCzzcZHuzo4viSDgjQTl00uoc8p5AUXHjeMu0+vIkyYO9fVcHxJhgSqjxeDxX9fcdJwtColbn+A6VU5mPUqVs8dQ587QF6KkdLMBD5v6MHp8ctqKGLO83Of/3/LdQYF0OsK4A+EcfmCdNq9aNQKzFqNlK/dPLOCUDiMTq3ikYgCimhWl4/MRANHFqSxt8sJCtjXI+znc6pzqc5P+UGqlGq1kknDM9ne2ken3YNRq2bEoETZXhmvUfpjGqi/ld5ANJioID3vf/46+tuAvmvR8PT5Yxlk0ZNrOXTi8GE7bPDdfhsKh/H4gzweGVxMM+vYsb+PJzfulSl8rXx3J9OrchicHKYky0woDHPG5pGZqCcv2Uhzr4usRD2jBltIMWrxh0KcOCIzJi85GOCs7/vMQxUw9n32W73u/8S+y3cVCuhz++jzBDDqtFx38gjsXoGAqaHLyctfNXNyRTbb9ttl+65IzCfa9+XTYm2iKMNMi9VFTrKRsuykXxTs2d8ONhHCwf7836KpVcJ98wVCWEVAnz9IMBTG6Q1idfklwIAI3rj2lBI67V5sbj9uf5A/HV+EWgU3z6ggHEYGeBTr9L8bNpZmmwCImFOdJyMUXTJ1BHavj/QEnazvlZ6gI9GgjlvLtBg0svmZq6eUYHX7UamUPPFJLRccWxADvNRrlMJQdxQo4/Fzq7nvzCrqOh04vAG0KsiymNi4p5twGKlv8df5RxAMhanIKWBTY8+AvWzxXNa/BtHW50avUbO73S4BV6oGW6jpcEgEbvt7XSyZWsaW5l5abT5q2zt4fF413Q5fRAUlzL4eN/OPKaDH4WXVOuG5jMxJ5IxxeTIin9tnj2Rfj5tlbx547daZFVx78gg2N/fGVcxxePwsnFiIxaCOqLYKNZVBFj17Oh3ScxmSaiQUzf52ECw/xRT3GQzPTGDxpELyUgUSvMFJBi5+4Rvm/24oD5w9mi3NAkDj4X/VcUZ1Hi993cyFxxcxyKJHo1Jw0fGFgjhEIERjt1sG1gFBRW1cQTJmnZqGTgf5qSaZIs+lJxYTDIVRKMCoVaNVKRlkMWLzCESnK9/dyZwxg8lK0tPU4+KRD/dw1hH5PHXeWD6tFxSWrnv9QM/j0blj2LG/D08gRJfDR1VuEltb+rj/gzrZd89PNXDzjAque32rRGC5YkY5WpUChUJJS6+Xd7a2cubYPIZnmXn2D+PY1+OiseeACujiSUVs3tfLvetrWT13DKPyUrnylQMKjsJAeqXkO+JM0LB0Mw6Pn0FJOjodvhj/v/HUMjRqmHfUELKT9Hy7rxeHN0hJVgIa1YF+szjXICotNfa4WbOpiQXjh2H3CGA3s07Nird3sGhSMUsjcxnRz3/+MQUAtNl9aNWuWBXGaWVYDAcX8KlUwIjsxLj+q0AR9/XCjATuXLeL6VVCH/v1r5uZMzZP1iu96PhCcpMN6FQqnN4AHXYPySYdd72/TRaLLlmzGavLxz1nVLGpoYdP9/ZIc7AQec4RFatdbXbu+mcNWrWCVXNGkmsxsvRN4f3e2tzCTdPLWfqGHHTT5/axp1NQVwWBrPH4kgyOHJqCwyvUhvNSTdz69i60aoVExqJSKHjlq31UDLZwwbEFZCXpueLlzTKwp16jpKXPLanEPXDWKBzeIPVdDu78p6AwuXx6Ob1OLz1OH6s37GHOmMFkWHTcMK2M1j43W1tsKBTgDYZRK0GjVrGn04FKqeQvL30hfZelU0cQArwBP0atEafXLyncWgwaHL6ANNM2pzqX/BQjPn0Iq9MnKVeKZIm3zKxAqYLSQUl4/EEIhxmWYZbWktjTueSEYpa9tR2ABeMLyEky0GQV1sHtsyp/Sbf8XjPrlexo9dPW66YoIwEAlTJHqiFC7EzXhccVysCgoj149iie+nc9J47IlgESb55RgUIBapWCph4X17++TZrHUihgeGYCnkBQlickGdTccGoZ3Q4fTT0uHvpojxTPgqEQ727bz3m/K8AfCNPj9EFkjfUHaD43fxxqZZCCdBOZCTpaet2c/fiB5zss3Uyfy4cvGCLNrKOpx8VT/97L1JHZMSq5iycVcevbO+MC2K9/fSsLJxShUwskk0oF5KcamV6VQ687gNVl59WvhV7DHbMrSTKo+fPfvpLFhMWTCiWFR7EvXZxp5tZ3BMKCxZMKeXRDvdS3ViiEe+X2CYp4aWY99V0O2exPiLCUM4n7h06t5Po3tjGtMgez9sBsR/R79ji8JJt0JBmEmrJWpZQRRKiUcJDTBRINGtk86y1v7+Tco/K54c3t/OHooTJ/SjFppB59tFhTok5FIAQ3rP1ayodvmFbO9v19zBkzmGAwyIhBifgCYdlcKgj+lWMRAHsi4Ovyl7ZI+/zlk4vRKGNzx0UTi3jiE+EZHTWsmqYel7Rf5qcauGhCkWzO5eaZFbh9AVbPHYPbH2TeU19GxbNShqQaSTVr4yoKt/a6pO+8al0Neo2Sa08u4bLJJXh8AYamGxmVZ6Gp24Veq+be92uYWJIl5Q9Pnz8OCNBu99Dn8lGQYZbUztPMWtptXkKEyUrS4wuEOOuIIWzbL8wIX/nyZpZMHcHqj/ZQMdiCXqMmK1HHnk5BgTmaoDUQChEIqdhY28nj51Zj9wQw69XY3H7Zd5oShlXrdrFkahl//WwvM0flkWLWYTGqOaogFavLR9mgUplC+KKJRdS02fEEQpx79FDMuoNPtB4MC+rwn9R1k2bWUZRhRqEIS+t/4YRChqSZqGm3S7FYPHc9ePZonv10L8cPz+TaU0pRAPusLgk7oNcoefic0QRDobgzBmKPaXCyEZcvyKI131CcYeascfk8sqEuhjzkkhOKae1zU5yRgFYt4Bq27utlWuVgrnttK43dbpmyZ/TnqJQKbo2IB4HQL1r61g4eO7eaMKBTK3D7INmoxThIzaNzx+D2BdGqlDz3aQMjciy02X2Mzkum3eYRiIUiazqMAOyOJkG9ZkoJV540nKwkA0kGNUaNin29bla8vUsWAwcn6+m0++l1+fEGggxONXLu0UPQq1UYtUr29ThptXmpyElielUOORYDLb3umGehVMBLm5qlveTMsXk8u3Evx5dkcOa4fNr6PKx8ZxfzjxlGa6+bwkwz+6wukoxa7l2/m7lHDUGlFAiM05N0XD65hGarMB903f8r5cqThksq2zedWk44HBrAow6OabUqkk3a762XTS7LGpAI/LAdtmhThMPfnVosW7aMG2+88de6nl/Udu7cSWnpL8NA8Eu+90AmKqr8J8XaUCjMv+u6+L/nNsUkWH+dfwStfW40SiWBUJiFL3wDCANIt51Wzu52hyR3Xp2fxKJJw+m0exhkMeAJBDBrNVz+8uaYosKq2ZXsbLOjUMADH9Tx5LzquAnePy4+FoWCHzTwcjDu98H67P6f9+meLs567POY3/v7giM4siDte//+ULD6Tgen3PdxjA8sGF9AfoqJcDhIKKxk6ZvbWDihkIwELclGHX0eP2lmHTa3F39IwXWvbSXZqOXco/LJSzFi1KrQqBQoFAoe31DPp3t7WD13DFdFFeIAFk4s5IEP6rhj9kjp4Bl9HaKaobjGDqUhrEPxeQ5k33eth+J32V1Twx5vApe++K3kWx5/kEc3xDZE7j69ip1tNtLMWgwadUwRIzNRYN5RKZUogb9EBoRG5iRy1hH5UnH17/83DqsrwM42GwaNitH5Fjbv65PirZhwu/xBBqcYSTfrhMNcMMzqDQJ7iqg8Jx5MVs2uxB8M8dS/97KlxSb5fH+Lfn3V7JFcH/UdokEh0Qqf4rrodnohFGZu5KAcfW/6K4L+1uxg+uZAKs4jshNos3nIStSzo9XO7jZbXL9cOKEQpUIhO1yKQ+ci22x6go6OPg8dDi8KiPs+N04rk9TpRuYksugEgb2yqcfFxrpOZo4eLG+czRpJS68bpy+ISatieJYZuzuASqmkudeFyxekMMNMIBjk3vV1LJpYjEYFHRHwptMXRKkAg0Zg4Ynnr/19dPn0ct7esp+KwRZKshKwGLRc89oWKQ/JTtIzpzqXnCQD+3rdvLW5hafOG8eQVBPf1u/Hq9ANqEg30D51KPv2oRRTo68lFAqzo7WPfVY3l6yJZUy754wqDFoloTB829Qb1x9Xza7kjghRw8IXvmHhhEKJ9TH69246dQQqpYrrXt8q8/93trYydWQ2xVmJuHwB2voEoJTbH6R8UBJtfW46HD7CYYHhcsX0CoLhMDtbbbyztVViYA6HYWRuEk5vgEtf3BzzvS+fXEzZoES277dJzLdZSXpyknXoVOqIgpKGBK2adqudNEsCi/7+dUzuPJCf/ZJ5yaGQWx8Ksbc/kYHYoNaplFKhTa8RmCnPfzp2/1s9dwwLnvuKZKOW844ewt3v18gGKxZOLOStzS2cPS6fu9+viVFGEt/nmT+Mpc8VoNflE5rrUfmAQgGDUwS2w+wkPb5gkOYeN/mpRi549itZ80epgOOL0/mkrhtvIMSrXzdLOfGlJxbjDYQwaJSMHZJMMBymxerB7vGTk2zE6w9g9wZjit4qBWQmGRiaoqPJ6sPpDdDl9PLXz5picob/xP6TuBtvLezevetX95+D5bvR/ioCgo4qSKXH6eeyl4Q4Kza0+t/Pp86r5tP6HknFLUGv4p73a+P6cjAkKGrv7XbL/ODmGRW8t72F2aPz0WoUdDv9sqGOm04txxcIEEYhMcfmp5gIEyYcFgAjgyxG9ve6uKvfZ+enGiKkFHZKsxPY3WojN8XEk5/s4dLJwwmGoK3Pg0EjFJNVSgVfNvZSlp3Ivh4nNm9QYmC1uny8u/hYNjf3yZR6V8woB8IyJfKVs0YybeSguDH158oJGrocvPpNi3TvxWv8tXOLH+OvP3T/iZfHPja3Om79acH4AgwalZSjPvL70Vz419g6UTQpTWlWIg6vny6HT2r8XXvycFAoZGenK04aTl6Kkb1dTv72eSMXHTeMIArZcMtNp5bx4qYmjihIJ0mvojSi9rmvR2jsuf1BRg220Gn3cPf7ctXZxyJsxu5AEItBGDbz+ELYPH4SdGqW/2NnTBP/3jOq2N/nJtWkQa/V4PYFSDZqUSoEJYkUk5bla7czqTSLgkjzPDr+RwPq+9/ngdb7z+FbO3fuZPjwkkOiLvJTY208/1w8qYiiTDMTh2dK9/aNb5u55rVtcQcjB7rXT58/Fpc3KBGPRO/DBo0Kk07F4BQjgWCYXpdfVju4YVoZGYlaWvu8LF+7g+IMM386vpBAKEyqSUt9p50HP6qXhg8SIkoJd0TYqOHAuac0KxGLUcOeDjutNh+f13dy4fFFOL0BSVlUzGlf/bqZWWNypXNXdX4Sl00uobXPQ26yAbcvgEKhoKHbycMf1Uu1hncXH8uOVntctWmtWsGlJw6nvtPxk32y/3niUPDBH2O/xV7Ed60Vo0bN2Y8LNemFEwvjDg8vnlREQZqZQDhEgk6olV0+uYSWXhfZSQYW//1bbp9VQRhkQxorZlTQ5/Zj1KgIhML0uX088GEdC8YPw+b2S/vFgvEFlGYl4guGMGlV3Le+VnZee/XrZv5yQhEtvW6KMsw8s3EvV5xUwu52OyqlUpbTrJw1kuc+3cv8Y4bFZff+ufZo8Vn9luoM/f1rW7OVTocXlVIpqfEEQyHSzTq6nD5c3iDL/7GTu06vJDtJz9dNvTFkEdHEMD/Huv41cvAfcp2HSi3m8HXE//zv8t2SrF8XABTPDvb96m+H2vXAoXlNP7f9J367v8/Lnk4HaSYtV7yylRf+74i4cXfFjHJKshIoyUw86H7+ffa/+Iz/W+wH+26CDo8/xMUvfBtzVn7h/44gM1FPh13ofQVD0On4efL+Q+G+H+xrONiff6hcQ3/rf03/3N7GO1v3M3usoGiZatbx8pdN5KaaGJmTxPJ/7GDOmMGkm3UYdWpae13oNSra7T5JVfnJT/ZEAAAK1m1r5cjCdBkI6KZTy8lK0lLb7iTbYuDJT/Zw/PBMMhJ0gkKlRkljl4P1u9o558ih9Lr8WIwa/vbZXmaNyae+0xEDoEzQqeh1B2KuS6lU0GH3kqTXkGSUg0JvOrWMBz86oAQmEj+CAErKSzFwz/u1zD9mKKvW7ZbtK1oVLPr7FokYctGkIlmtbfGkIuk8l2LWsrfLKQ0bp5m05KYYJAIh0fJTDRIwSDo7zKnEYtTQ6fCRnagnTJg2m5eMBB1P/XsP63YIwKzsJD3nHpUv3Zf8VAM3nFqOyxfAYtDgD4bi1hqfOX8c+6wu/v5FI+ceXYDHFyA7ycCTn9RLoC+xju4PhgmFQ9g9QWo7DgA+C9JM5KUYGJ2f+it4rGD9exEDnd3Fs/OtMyuYNnIQXzb2cNZjn3PRhMK4vajH5lZz/RtbJZ+4ZWY5FoMWlVLBH//6Vczvzz+mgMrcJFLNAimqwyvMBXTavaSYtFz96oG5LFEdLD9FAC9+Xt/Jn48vIhgKo1UrcPsERU+TVk2SUUWz1SvzqRUzKli3vYV1O7oQQc2CApYLs14jq6/dPLOCgjQjH+7ulOrvH9d0cHJFdszaefZToYb1lxOKZX6aatTy5Ma9XHhcIcFgEF2/+Z+bTi3jrxHS6T9PKGRHq01STrzwuEKSjRr6nF6yLAZBWMMXRKNUYHP7ePBfe1g8qRiNKoxWpcHh9ZNq1mH3+Ln4hW9jnvdD54yiqceN3ROQ9fVWzqqgqcdNmkkTcw/E+lxrn4f8VAM3nlrOsje3SaQgYg/89lmVJHo7frXY3D/mft3YQ6fdjcMXlvWVbplZgUmrxOYJDvi97pg9Epc3wK3v7pKAaHnJRtpsHv72eRN/Or6AdLMA0M5LNWFzeRmabsbhDZCo1wjD9m4/Zp2aQCiE1eWnrc8j85FLTyxmkMVArkWP1R3A5w9R3+VAq1LySW0n5x1zIEa/8XUzp4wchMsXRKNSctu7OyU1uOj3XDJ1BOFQKManFk8q4ov6bs46Ih+dRonbFyQhoqq5p8NBIEQMoKRsUAJdDj/1XQ5e2iQoES6dWoYvGCTFKKzdDrsPtVJBMBRmT6eDUXkWro0ATkQT4+G8p74YsFctigdkJ+m5eGKhjEz25pnlpJl1ODwBEvRq2UymuPZLsxOwOnw4/YG4fcj7zhyFNxDCFwhiMWq5ae12mbiMGM9uOrWMEdmJlOdafnF/jbZo331/ZxsaJeg1GjrsHgYlGWjodnJd1B67YkY5+alGuuxeLEYtTl9AEr2J/t6LJxXh8AZJ0quoyLXQ7fBi1Km58S1BTfD8o/PJTDSweM23suu5fHJx3PmYhRMKeemrfVx/yghpplZBmKVvbudPxxVi1Kkwa9XoNEqufW1rzBzE8unlPPdpAzUdDpZMHcFrX+/j1Moc8tNM1Hc4SE3Qc2ecXkSuxUB6gg6jTonTE+Lb5l5KsxLptHvQqVVYTFpCoTD7rC4qcpKwReK90xfkj899JX2H7CQ9c4/Ml13TkqkjcHr8lGQn0NrnlZFk3D5rJIFQWHb+vfbkEnzBEIl6DYNTDDR0u2NyFFFsYGROIn8+vhBvMMSezgPr6OoppezpdFA9JIVely+iEBxGq1KQbTHSHAGLRT/vXIuBPk+A+k4Hhelm7v+glgvGD5MpXF48sYgTy7J+QU+VW/+Y+2VDN1ua+2QK8kunluLyBclOMpBu1tFu91Db4eCjXbH75i0zKwgT5r71B4j1S7IS8fr9pCUYcHkDKBUKDFolTm8Auycom+lbMnUENrcfk06FwxOMO8eoVStYMnUEhMHlC1IXeS6iuuUHu9r40/GFqJRKXD4hnj/xcT3nHDVEIrJYu6WFM6rzJFXsYEgAWGYlCrM0WpUg5LK/z0NdVE5XlGEmGApz9atb4+ZTS6aOIN2kY9Ga2LUsCaycXikBoIuzEnF6BXEB8T2i9zExfx2Zm4TdEyDRoCYUhi8i5Ntrt7Rw7Sml9Dj9Mh9eMnUE6WYdy97cLuV53U4vLl+IysGJuH0hWV6yYPwwXvt6H2eOE2aeh6SZ8PmDOH0hLAY1178Rmx9MHZnDE5/U89T51RjVairzkn81v43nu5/t6eKqV7fIrrO2vZeTy3O4JrL+q/OTOGvcENl84JKpI3h/exvn/m4oXXYvWYk62u3eGFXUYChErsVAj8sv+9klJxSjIEySQUuT1c3HNR1MrRzEXf+soTjDzILxw9CoFCSbtLTbhLUT7a/vbmvlypOHo1Qo6XX5sLoOAHKjlZ8DoRCFGWa67V5uXLsz5n6smjOS+z+oZfGkYlxeP/lpZhq7hPxmwXOxOfpj51azt9OBLxjCYtTS1OOS4ts1J5cSCodJ0GvwBoLUtjt49tNGiTgjXg6weFIRFTnC7IRBq+LGtw7s0StmVHD/BzUSkHXukfms2dQUs7/cMrOCrEQd3U4/vU4fCkWYnGQjPU4fiXoNIcDlDWAxargh6v2XTy9HqxZIW177ah+zqgdz+UubY67xtpnlKFUqPL4AOckGPtzZyrTKwQfdd/tbfacDl9c/YK13xCDLQet5H2r1msPX8/02oMKnaP8tYM//RvsxrLlKpYKjClJZOWukbOhx2bQyLnvpWylwPn3+WInBoLXPw53ravjjccNYPKmIwnSBDdTtD5Js1GLzBHhsQx3nHV0gOyCCwDqgVAqJweWTS8hPNeD0xVd46nR4OLIg7ZAbcDjUbCD1t4EUSQ5Fi8eQHQ0uu312JVe+LGzUnkCIu9+v4/KTimnqcZFj0aNUqDCpQzxz/jhq2m0Mjwx+hsPg9IV48INaQaUO6HL4uOaUUmraBdWftza3SMx2WUm6uL4oMqv/LzCuHja5hYJBifm00+5l3lNfkGzUxlURfPijOqaUZ3PL27tYOrVUYj4Kh5EObnefXsW+HifZFqPka6KC4u2zK1Erodcd4KYIc6XTF6TF6uGpfzcw/5gCEvRqSrMT6HX5KEpIoMfhIRgO4fUH0apVnPe7oRg0Km57d6c0gHnLzAqSTWpWvrNbWgeqCKNm/7ghUj7oNUqarC7p5x6/oESzYHwBQyJqJxA7+LdoUuF3rqHD9p9bf4ZiQYlSGIobkiYo04iA5P5+KSpb+AJhFowvoCQrgV1tdplS5vK1OyLMkHoK0sysfHdXzPssn15ORoJO8pktLTaWvL6di44voCQrkfvW19HS65UpYCQY1Iw0J9Hr8tPr8qHXqHB5g6Qn6PAGQujUSrItejrtXpZPLycQDPFVUx+KyJnlla8ElsNrTynF7QuweFIhL25qlg3X9/fRJW9s44GzR7Pf6kKpUHDXP3dx1ZRSdrXZSDFqyLEY2bq/TwJ7nlGdh83t493tdi598UAOFE+R7rei5PBbMKVSgUGj5rZ3dsb42tKpI7j1nZ0snTqCna2COtBNp5bJAA6LJhaxesMebphWzg1vbeOSE4qxGOOrK4ICrVrBc/PH0WX3SWpwuckGkgwavIEQKUatwNDsC9Jl9+INBLnlnV2yokOIEDq1ir9/2URjt5stLTapeN3r8pGdpCc/1RDTGBmTn8yeDoH5bOrIHKlAuWhSMde9tilukXDFjHLu/6BWysG/y88O5yW/nDV0O7n0xW+Zf0yB5KMg+NVd/6xhwfgC2Wt3rtsVw9y6bGoZDd1O6fz09MYGFk4oZHCyMMB+/etbeeWrZs49Kl9SGCvJSojry5v39ZGVZEAXabhbXb7IcFQAvUaN0xcgN9lAW6+LO9+v5YzqPJ79dK+kICgyLi6aWMSmhh4e+khoAGUn6bloQiEqJRRmmFi+Vsgf7j69kpZeN75giNKsRB78oJbJZVmyxpHHLyjZPjmvGrs3wL/re2UFf5F84sfmAP9J3P1fXwuiv3r8IYmBFWB1FLjmxU3NMWyYy6aV0eXwcd/6A38TzSYYHXeXvLGNS08sxmLQkKAXlI7TzTqarC7MejXrdnSxbkcXj/x+NMZIU0PMCf76WQPHFmcwMjeJoWkmbB6hga5SgdXppzgrkQ6bG41KGcOkeUZ1Hle9slVgWD69ipLsJHa12vjT8UXUdzhotfkkxsNhGWZMGhVKBdR3OUjQqSUAqeg/wRBS3QMEP77+9W08ePZoHjx7FN/s6yMcRjhjDlBI/blygrwUEyVZib/J3OKHrrlo34TI/X5ja0z9Kfrs/8z54/AGQty3fveAyu1iPvjg2aNY8sZ2GTNvklEbGUQ74IOPf7yXeUfnC2D9mSPZ1tJLfpqZO+dU4vAECIRCZCXpOH54pjQUt62lj3e2tvKXE4px+gJYjFp6XV5snqBMOfGWmRUEQmH2dgkstyatmpvWbpcanUcOTZF+XzS9RsmeLgc5FoNsqE4EUB1XnMFXTT1MG5mDyx9k+/4+2Xr2+ENc+uK3lEQAQeJ5IfX8cXxc14Veo+KSE4plbNA/p2/9t8RcpVLBiOyEuOd2EWzV0O3kmteEvX3D7o6YGJWXaoy514smFtFh89DU45ZygOjYvHBiIR5/kFve3kVxhpllp47gntOr8IfCmLQqGrud/P2LVv44vohH547B4wuSaNCwubmXZquLYCgsMfl22z24PGrc/sABxQV/CKvLx+BkI1q1gi8brBSkm0g0aABY8vo2Zo3JlSmLQizj+MzRg9nX48TqCsiGJRZPKuLC8QU8skEAfbb0umPWuahi++CHdeRY9FTmJv0gZeD/5Nn9N/jgb8XixfJ719fyj4uPxeENSHWCV75qjlkjiyYK55zLTizG5vHTEgxx5tg86jrsPLpBUF8WzvZuPtvTyd2nVxEMh0nQq9GpISNBR6fdS5pZB8DUkTk88EGdDBhQkGZmX4+T8twkbO6AxE4sml6jpKnHLeXDd59exeZ9veSmmGK+11WvbGH+MQU8/FFdjAr6L7FH/5brDM19HtZtbWX22DyUClCrlLz+dTMnlQ8i2azmmle3RVQ89QxJM5OXYqJqsGVAoORvZV3/Vq7zsA1s3+W75bmHNgjusP3v2nf5bZJRzbOfNjJrTC56jfIHx93Ddth+Dfsu300za+KelTMT9TF77bCMw/vuYft1LT1By9vb23n121bpNXFeatV7u+ICI5IMGmyeAHmpJpp6nBxRkM5t7+7iulNKeXt7O1aXoITWGxnmTNSrqO9yc8e63RJIaXCKkVSTFr1GyWUvbcYXCHPe0UP4Y2SAVxxGrm2387fPm2S1L/Hc9UCUEsvNMytI1KsxaFVkJerpcfpINWt5/Nxqepw+NColdo+Pq04qAQUoUXBjlPLYgx/WsXBiIVaXjyc+2StTsPIFgjR0ewFh5sDq8tHnFhTEUoxajDo1zVaXpDj9xrctXDyxCKvLh0ErgFFt7kBML6Sx202CTsXtsytp6nYyIjsRp8/P5uY+7l1fy19OKMLuCaJQwP5eN2Py09hQ2yPVQowaFYsnFTHIYiArUceVr2xhWmUOb21u4c/HxZ9h+LKhhwSdmjPGDkanUtLlDdDl8PLp3h7p2d80vRyDRk2P001mgo4L/xo75P/XP4z7Rfzxh5pYH0z7wzg67F5q2uXzANe8tpXKwRZptkyhIO79aLd7mDNmMJ5ACKUC+lx+7nivhktOKJT6TdFn/jWbmgD4vL6Ts48YQmO3UyL9uv+sUbJYL6oXPXXeWBL0Go4YmsyuVpsMmCwCLkbmJPHKV03cPrtSAsqs3byPeUcP47TReShRsKdLUIM9ozqP175p4I7ZldR22AmGYNV7u2XEZqJ1Onw8dm41HTYPjRHwhXiP7nm/hssml9DQ5WRImolOm4ebppdLJJQf7WpldWQdpyfoqG23M354BioF2Nw+tColnrDQD37kX3XMGTOYVetqJLCbQgHjhqSg1Si44HcF3PHebpZOHYEnEKDD7iU32YBScUB5TTS9RokSBfdE6o/Rrzf1uHnik3rmH1PA0582sGbBkbh8QfzBMEve2CrNC51RnUe3w0djt1tWDwQEsMzP4IM/1vQaJTZPiAc+FOqJSQY1I3MtePwBup1+HviwVvZsxf6AXqOkodvFq183s2p2JTWRn9/5zxrp510OHw9/VM+5R+WjVkJagh63P8j6Ha2cNiaPXpefbqePW98RlGbzU40MSzdz9+lVBEJhEg1q6jsc7Le6uPkfO2UABpvHH6MGqtcomT46lytf+EZGAqhSwH1njMIWUTPvdfrYZ/WRqlRw+eRispIMqBUKFBFQpkqpwOMPcuFfvyY7Sc9lk4uxeYO8tblFFvuf/6KRyyaX8OQn9RxbnMGsMbmUZCbQbnMTCIYxatV81WjFoBGEMiwGLb5giJXvCGrF/dXzbv7HDhZNLMITiD/DK87xWF0+QQF5QiGZiXpSTVoCoTBmrRpvICT9jmji2r/ypOHctHZn3D7kradVkGzS0G7zkmLW8eAHNVKPpSrXQpgw15xSQrJBSyAcxKz/3vH2X9QS9RqueHmzBDza1ebg8/pOnjxvLBv3dKNUQGcEULR8ejk3rd3MheMLYvq0V5w0HF9AIDgtzEzAFwiyz+rm7182cflkgbCuzxNEpfTGxAZfMBT3OQ1JM7FiegU9Li96tQpv5P3FZy4SSeYZ9Jw5No+/fynkFCqloLablajn+JIMji3OkOqw2/bbWTypiJxkI25fQDYT09rn4b71Qs6w9M3tPDGvGpcvQElmAoFQCI1axbJ+YMs2mweby8+t7+7igmMLZN+ttc/Dmk1NPDa3mi8bBdDb6g17uPC4Qpa8sZ2CVBOr546hz+0nI0FPbZuVRJNBigNalRKnL4jTF8TmCZCg13Df+gM9w+GZCdzy9gGS1i0tNrbut8UAnC558VseOmc0u1ttUj6jUsLwzCRSTBqSjWoeOnu0kH9o1TT2ONFrVBII6aU/HkFNh4NFEXElEGJEmln7i/jkDzWnN4BaoZDFzfs/2CPFzfnHFPDq182cc0QefzxuGKkmLY+dW43d4yfFpKWxy8FD/6qXfD8YgpXv7mR6VQ51nW6B9GB8IY9sqGPqyByGZ5pYNbuS+i4n3kCIBz6ow+ryMf+YAtZuaeGhc0bjC4RI0KvZ0twn9b6WvL6d1j4P959VhVal5LLJxRg1KvzBEPOOLqAmAlC79MRi0sw6Pt3bQ7fTx4XHF7KrzcbUkTms2dTEn48v5KGoPuyNp5bJ/n/lrApJhEIglxaULJ+YN5ZvmqwMSxd6D+J1PfBBHXOqcweMkXqNkr3dTv5v/DBUClj25jZ8gTCnjc6VYvQd63ZJ/tcaIRm4+/QqLonMJvX3xcV//5bFk4pk8f+BD+q47v+Vct3/K4WwsEbEnkh+qoFrTxlBcUYCapWC44rS+HaflXlHF/DMxnqOKEjH4Q0wyGKkqdtJdkEKiycVx+R4z33WiMcfosvuI/NgJgoRc3gDcfOYaZWDWD13DG19HtLMOlRKZH1f0ecuGF8gkSxkJ+kPxL2sRPZ2O3H7g+QmG0k3a3jo7NF8GwEPP/9FIxceV8hD/zrgN6lmLdedXIo2QqiWatbxdWMPwzKF2kV/NdYv9lpJNWoJhcMUZpi5Y3YlLm8Au9dPQ7cTXzDE8MwE9Bol6QPgQPZ2uWjsdnPta1t5+PdjuPf93cwanceSN7bFnRW+/vUDBC63zx6JQaNi1phclArw+IOolAr6XH4uf/kAcDIUBpUy/hkh3azjipe3cNroXJmPCrM2W6WecGufh+c+a+S00bkUpJt4dO4Y6todEWJuBx12D7kWIxaTlhSThi6HV0aWcMkJxTz1772cOTaPYWlm1CoF10XUv8WcutnqkubtxL9bMaOctAQdXzRYCYbgwY/quHB8IWEOsqxyHBuSamLdzrbv6FEcrt8eth9uBzcjPmwHxdRqJZW5SdJmV5yZIGNjSTZq6bR7ZQePmg4HJp2SUXkWFISp75KzoSybWka7zRN3AzLp1Pzh6KGsWreLi44vxOHx/eYBiwfTfsvDIaL1H1AUkx4xwfX1KyhYXT467V4MGhXhMPQ4vTh9QbRaNXZPkHOf/CKu+oJeoyTZpOFPEfY+Mcl5LKKKmJVUFhewcdgX/7dNHOZpt3mkgc3nPmuMWxDodAgH00SDlmtf2x7zXi5fgL990cTy6eWyuLelxcad63axcEIRvkBQNnwpNlP6D2MuGF+AXq3i5rd3S2tl0aRC0s06rj9lBFv39xEMwb3ra7jo+CK0aoX0tyMGJcYCU6aV8cLnjdK/71tfK7t2j19gsxmdd4BJpP/gXygcH0h6eA39NIseKNu5cydKZY70s+/yy1e/2sfVU0rZ2SYwN9V3OmWgDhCeq1qppLnXg1Gjwury8dxnjdwxuxJvIIhRq2ZlhH0wOg+wunzYvUG8AeGAGD3IrNcoUSkLuG/9AYDRZS9uobXPI6l+3Dyzgkf/Vcu6HV3kpxr48/EHmET1GkG1zhsMcUXkcBmPOat/k8bjD7GluZfCjASaup1MLMmSqfNe/PdvYppQ44amxAx5Rg/QRz+DaODt4UGZn2Yddg+N3W6Zz+rVStITdEyrzMEfDFOSlYDV5SPJqJUVZMSiiMsvFHSe3tjALTPL48ae7CQDbn+Qy1/aHNOE7w8aEX3ziXnVXHnScNLMOhL0ahlzVDSIuj8b57KpZTyy4UCRZ9HEIvrcfh6MKCCJdtGEQomhFA4MTIsFkOtf38aaBUfi9gcP+9lBNDG2DtT0DvWrC21q7GPZNDOrZlfijGJpnFCSISPNWbWuRmj+zx/HY+dWR9hZVZi1BSQZNaQnaOP6ckG6mYXPfy3z31vf2SXzrUd/P4Y2m1cqYF88sYicZC0LJxTiCYSk9QNIwOL+6+KSE4p5/otGLEaNxIQnfl4gFI57L1p6PeyzumLASHe/LwBjf2wOcDju/nAT/TXaQmG577b2eXj200aeOX8cLl8Ao1aNLxCkpt0Rt5G2eu4YNjVaZQ30q17ZypPnjWXt5gbOOmIotW02CjMSIiy2wns89GEdl04eHtOMqOlwsHBCIavW1QAHYu6T543lmle3SLFz1ZxKnpxXTafDx55OhxTzL588nHabR6asu2JGBRWDdDx09miarS4aupwyVcdl08p48OxRbG7u45hhaVQPSeHzvd1x/Xhzcy9j8pN54AMhd5k1OoeB7OfyTfF9suaNxKfU/Vf6eDzfbOx2k2PR88wAZ/8wYY4pTCPHYqCtz8VzfxhHp8PLrja77Pf0GiVGrSoGUDfQ2cnlC3Lb+t2sml1OilnH4qi8cMnUEWxtscVlQ/62uReA3w1LJYyC5z5rkJpAI3Mt/O3TBj7d28PiSUVkJel5+CN5bH0j1RBz7hKZV3ud3sggiYlko4Yci4H8iA9oVUq6XT5Wb6jngmML4vptNKBeqVSQnqCTaiDRzapJJRlU5Bw8NshD2cRhhP4m3lvRh7OT9Ewpz2b1hj3Sfa3KtdBsdUmkDWKjdc0mYRjDEwjFH9BSCAPL4pDcA+vr+H+Vg2SMsYsnFbG/z8OqdbvwBcKsnFURl/V8/jEF2LxBHvigjmtPHs4DZ4/G6REGldQqBRc9f8DPl08vZ+2WFlr7PLy1uYVlU8u4cW2Uyu30cpwePwsnFjJ6sIXrXt/GtaeUsvTNHTF564LxBVJTr9nq/s7mdopJdxh08Bu3eLHc4xeIGlVKhdRMbu3z4PT4457dMhP1mPVqbnxrBxeOL0ClgCVTR9DU7WTxpCL+/qUwLHdJVG17ydQRpJl1XPS8MBSzcGJ89ZHWPjfhMFzz6lb+ckJxXMIgMQf2+EPUdgisxrvabHG/l0opDID6AyHpuygVSDW1n9N+y/muxaCJOwR/+rg86todWF0+WX/iMFDysB0q9l2+e9gO26Fq3+W3t/xjJ1aXD6WCw3H3sB1y9l2+2+X0c/uskVz5ipyI87c023DY/nut3e7j+lNKWfH2Tsk/rz+lFLc/yPHDMxmWYeaxudU4fQEAHv94D3PG5El1z2hr6HJKdaEPa7qkGryCMPlpJp46byzdDh+JBjW17Q5q2h3o1EppVuXpjQcIoYszzDz0US3zjxkWt/aVbdHz1Hlj6XJ4STJo0KoF8tXNzb1kJhpQKhXSjEx+qoElU8uwe4IYtRoMGiVmXSwQ+63NLXFJJR/dIAz66zVKhmWYuWpKCU9v3MsZ1XkyUEd0H27pm9u57pRSfMEQo/KS6XX549ZN0hP0WF0+ijMSaLa6uOWdXRLZW47FKPWNQSAvXDC+gLwUI1q1irZeF8WZCZh0ChzeAIsmFvPCFw1cOL6Q/X3uuJ83dkgK+6wujFoVdo+XBL2Gv33ewO2zKyV1mG6nlzMf+wyPP8Qds0fGPUu22b0/0fN+uimVCtLMOr7Y2xN3HqDD7mHckFRWzChnX48r7v1o6nFJ/f3Fk4pQRhBeS9/cwYsLjuTu06ukuQMR+CY+4z9PUJNoSJIIlFp6XTED6IsnFXHpi5slAtyRgy00drm4Z30t5xyRx+BkA7nJRrqcXiaVZkmiAGJtq9vpZVCSHn8wxOAUI9OrcqTPv+XtnbLebTwCdKvLh83tZ2+3K2bOoLHbTU27XXpdr1Hy0Nmj6fME+du7OzmjWhiqn/+7oXgDIRl58PLp5bz01T4ZsZ9JqyI7SS/VrvUaJdX5ydzzT0GsQAAsCgCDgjQz21psfL63k+XTy2Wqj5ecUIzN44sBion9vP51D4C8FANPnDuWXe12atqFuvq8o/LjPvO8FBO+7p6f0RP/MwsEw9L3jZ41eeb8sWQlKrh5RgV2j5/MRL2MZCx6bqTb4SVRr5EpEd92WgXJJgFY5fAGWfmuMIvl9gcYmp6I1enH4fVRmpXAihkVAngsUcdXDVacviDhMLz6taDQ9dA5o6UZmjnVAoAhw6wjJ9kYo95sj4DZ+5MALppUKFuXYm1XVMxcOasCq8tP1WALOo2SXqdfmsFp6HZJZOb9VQ9vjcypiT71zB/Gss/qwukL4vIFKcwwc+XLW6TYf/WUUoammrB7/Nx9ehW+YIiadoe0jjodPq49pTSur4TDB0DwHl+Au96XE2jf/PYOkvQa5v1uSIy/rphRTqJew6JJhYTCoFbCI78fQ027nbwUIx12D3Me2QwcUATVqZWMybfQ4/Sxq80hPY/H51WTl3Jwc8ZAKMifjy+UKU3eeGoZj/1rD5/u7WHRRKHeefPMCrKTdFhdPh7ZIICP74gA2S0GLQ3dDtLNOtpsHm58azvnHTUElQKWTy8HkPV7+sfTylxL3OeUZNDg9ARQoECjEsBI+3vdVOZaWDrVREO3k1Xv7SbHouPco4YyvSpHmnvwB8O0271x9xCnL4iCMCadekD/8PhDuH1BLCYtDk8AwnDf+loWTiiUyFabrS6SDGoMGhWr546hodsVQyL45+MLcfr8ACgUML0qhxSThmtPHkGvy8eW5j7+9nmTBOw/rSqbM47Ix+ULyOrCl5xQTI/TG3f+MtoGAjj1uvwS2FMEN654ewc3TS+nLdI3j7bsJL30XV74vCkmni+fXo5Oc3DJxgYlGVj25nbOHJsXE1eXTB2B3SPc9wc+rBP2Mp2aLruXJquLj3Z1MHVkNhdPLIrpZw1ONtLc62LqyBxe+KJRumcpJi0ddp9ERq7XCKQkFoOaYwpT0agUXPzCt1x0/DApZoim1yhp7Haxal0NiycVSoQS0T/XaVQ8/GGddN+Xr93BnOpchqYamTNmMH/7TLiWIalGGrpdvLSpiWVTy/AHQ1iMGnrdftz+ICAIXdk8AfyBICDkdft6nKSY9dz1/oG5mdLsxAF7f+KePKc6l1AYKacX/U8E8Uffv+XTy3H7/Vw9pYQely+uL7r9wZjcPxSGtZv3cUJpNjUdDun1iycW0dzjIjNRz41v7SDHouP06nxWrYslrrn25BL2drkk0gVRsfWRj+okEHBth4PByRk/lwv+aBuaaop733e1uaht388FxxbybZOVtAQdBo0qhgQdwlKOKhIRXHJCMYlGNWle4W96XV70ajU9Ti9jh6Rg9/g5YmgFvS4vc4/MJ9WkI8mokalbLppYRIJBRbbFiNcXIj/VJFMsXzGjnMHJBq58RZiHEWdk+n+PBeML0KqUaFWKmLmC/rme0xtgUmkWWUlabjttJH1uv3QOTNCrBVKCySUkGtQEQ2FQCPcPBdR1OFj57m4A/jKpSHYdr3zVzNKpI+Le506Hl9Y+z4DxUhUV2sT7+9DZoyXyovxUA1dNKaWuw4FJp5LmMPNTDTwxr5quyGzQ0xsbsLp8/N6kI8mkwukR5pP7qz/npxp46OzReAOCqnpth0NaV6LduHY7axYc+bP4389pSqXicI/isP1sdhjw+T9q0UNOV588XEq8QBjAv+LlLTLVhHFDBLYtt9fHkUUZpJg0EluCPjLg3OmILTosm1bG7lYbvmCYxm43S9/czuJJRTEHk8NF/R9uv+XhkGjrP6AomlDYPaAs98pXzSyaWMQLXzRx1ZRS6jsdZCcZ6PP4SdBpWLNJYB8y61Qxh8Jl08q4IXK4AyHhuPGt7cw/poAtLTZufGv7bx48e9h+OYtW040uzC4YXyBj33nik3qePK86bgLcYfcKB6j1Ndx4apmsAHT1lFIuiYDTohkS39rcwg3TyrghqkFy06ll9Lp8PLVRPvRcmJFAi9UlAdtEW/rmNh6dO4YvG6woFQKQ/5a3d8oGUx/5Vx0rplcIrDg9zrjsuoNTjLT2eQiFBbB5/8E/cX0ejue/ng3kl/OPKWBEjkUamASheBXPLwszzNR1OHjm00bp+e1ut1OSmSADQz77aWNEDdRAslGLNxhkv9Udo3xxw7QyUkxaFk0qjGFaHJNnwTSpiG67h60tDi6aUEhesoH9vW6SjVpa+wSfEgfc+w8XP3T2aJy+IDqNMq6PBkPg9gXIjmr6nTY6V1Yc8vgPqM50ObzfO0Av2uFBmZ/PEvRqqaAPsGF3BydXZHPxCweG0q87pZQVM8pp7HLEFGQWTyoiUa+RGh2+YDgm57x5ZgVWl4c7/1nL2eMOKCjmpxho7nXHgEaUkaHjle/sYkuLjUWTClm9oZ5ko5aLJhSiUEBbn5vbZ42ky+Hjspc2y/OJtdu5fXYlNe12adh/elUOc6pzZUVxlRIZqycIsVP8t1iwO7Ig7Vd7Hoct1sTYCvGJDPqn2XqNEoVCQZ/HL8s9Z43OjVH+uvTEYnqcfmwePwoUBEMhOp1ebn5nJ8UZ5pg9/9qTSzDrlAKY1Bsg2aTl5rcPMG2Ln99h89AXYbeeXpVDj8NLXooxLoBpcIqBKyaXcPnLm2X+6PIFZAVEOBAz75hdGfde6DWqGHCh+HfFmQmyHCAUCtPQ7aTd5hFUJ77nzHI47v4wy4zD9DfQMEN6go6C9FQA6jsd7Gy1xcTPM8fmYXX64jf0vAHOOmIIf/rrV7LBmitOGs4d7wlq8s9/vjeG7VtUfIUDa2jZtDKae5xS7UGpgB6Hl1STlrwUQYk5J8lAp8OLPxjiuc8OMNcD3P9BDdOrcghGvmJ/NsEb39rOHbMruW99HaMGC2C3ePdKzB86bF4pd81LNlLf6RjQV38u31QqFRj8NkaXlv6k9zlUbaD7nWISlNrinf0zEgR11WEZZoZlCGr2l78sEDdEK2sumToCrVoZ8/5vbW7h5pkVsmbKpScWU56TiFZVTHqigfvX10gs3RajBp1awRUv74k5xyyZOoJgMIRGpWDzvl6CYSG+5loM5KUa8fiCnDZmMHOPGkKbzU2CXs2k0izc/iAXHFsACHv8gx/WynKE1Rv2MHVkDk98Us+C8QWEgQue3cRdp1eRH4mZLl9QFlvjDsCZ9TI/zUs2SvUM8Vx61+lVh8Ge32ED+ahIViD+/LTRuZJvRA8ePXj2KC6eWCxjEV00sYjWXmEIp79PLZ9ejtXp5da3dwFw++xK6jrspJq13HfGKLzBEIkGNa1WFx5/QGLdXvXeblbMKJc1gUUCG3HAsiLXggJo7HIKQ0Lv7ZLFzAc+rOWyySV4fAGae928EAVUVSqg2+Fl5bu70WuU3DG7UiBY8cWqbXj8AvFFkl7F3adXEQqHB8yVDoMO/jvs+9aJWIdVKCAYBrNOLSNgWDJ1BNtb+yjJSpSGm645pZS2Xhf5aWacXj/Tq3JQKmHV7Er8wRAZiTo67F72dh4gpohXb1oxo5xOu1dqdu/tcjI8M4GnzhtLp8NLXYcj5twXCAlEKEadSnYmfeUrYWisOj8FQCKZiP7Ob/cjhvo57Le6NgwalZT/ic/jipOGY9CoKMpM4O1Fx/4m+xOH7b/fvst3D9thO1Ttu/y2psPBLTMrGJ1nIS/lcNw9bIeWfZfvKhQhxgzOoDwn6Tc923DY/jst2ajhlrd3yHroj31Szx2zKlm1roarTx5OfoqJnW02qY955LD4YMLS7CRa+1wycr2nNzZIPdO7T69if68Lu1fLHRGg0uJJQi83um7v9gXocng49+gClIpwTO11+fRyHF4/NndQBiy48dQyHv6oXjiL/X40d51exa42G1qVkvoOOykmHVqVkutfF0is+5+5Fk4oQqMKy1RuBLLJYuxugQRbrHHMqc6lMFMgxfQEgjT1uGTnMbGuZ3f7Wf7vvcwanRtTl77x1DJ8wSDb99tRKKAo3SSrbTy2QV6/E4Z/DSToNfQ6ffiCYW5au50bTi3joucFhb3rTimV+iD9v99N08u58pXN0sD20qkj+Gj3fhZNKqbD7iXZqEWjUnLly1ujanSqAc7Iul/cN3+IDUk1DQgCEuuuJVkJ9Di8MbNUt8yswKxTc+mJxXgDIQlMt2B8ASVZiTh9QW5au4NrTymltsPO1JE5shkApzfEqnUR5cAzRmHUqrj+DUHxJy/ZQEufW6aoef3r27j3jFHs73NjdflkoOnq/CSuOXkEq2ZX4gsKqkI9Li9KFIQIY/cE8QcENS7Rt6wuHxmJOu45vQp/SABI5fUbur988nD2WV1x+yfRvT/RP3qcHkZkJ1CaVUKCXs11p4zAqFVxwbObZL2IJW9sY9XsSnZF6r/R9y4aQNvU7eTY4gxqOhxcM6UEfygsWwM3TCtjzZeNMsJBlTKMUaPG6bVxx+xKPP4gZp2gJnf55BJueXsnAOcelc+8p76QzehMGZHFiOxEjh6WSlainsEpJi57ST4LNzTNxO7uX9Qtv9OcvvhqklaXn0EWA/t6XNz+3i6uPWUE954xCk8gyP5eN3q1kqumDKe+y8kjG+rRqhXcdXoV9Z0OCtJMmHQqCWQg2pI3trFwQiEqpUJGOnbLzAo0KgU1rTYSDZqYmYQkg1oi/M1K0nP/+hrmHV3Agx/WyvaKBz+q5fLJJXF9a1ResvR6f/CG1eVDq1YBfrRqJY9tqGNUXqq0Rl/5qplzj8qXKTFW5loIhEKynsk1U0rY1mKTz0vMqODSE4rwBMIMz0ogFAoTDIcpzkpkyz4r2RajrLfWGiEh7L/PLJ06ApvHz0Nnj+ahj2q56uRS7ppTid0ToMflIxAIcva4fO5+v4ZV79Vw/tH5PPL7MTi8AZxeP3mpBr5t6pP2TbFvUzk4iYYOB0NTzTH3LRAS/v3Mxr1sauyL1AIrOHJI6kHPGbUqFet3tsrUuztsbs4+Ip/zjymgtl2Ikave2828o/OlZynW31fMKCcQDuHwBXlqYw1Wl49FE4t4+tMGLjxOACS293mk5yCS9d51ehV1HQ68gRBrvmyI24u98uUtMrVGcX5s9dwxstmx00bncuc/d8vAjKvW7eKqKfF9WFQtHZZuYvmMcpa8HgtG0msE0E2KScuyN7dzcQRcGR3f9RolV540nKIMM01WN7e8vZPkCAF8YbqZBL0AKL361a2ya7vl7Z1MHZkj68+EI3Xdt7e3Uz00hRyLQfI7tUJBQ48Tmycgm9V4a3NLDGHgiAEAfHqNkguOKeDmKBKQW2dWoFEK+228PnxusoGHzxmNVq3k2te2ylUZP6zljlmVv6Rrfq9p1Urm/26oRKghKqPv6XRISoiLJxVh1Kh4ZEM9t82q4PqouZEtLTbyUw08+4dxdDt86NRK/KEwrb0uGWmpCEIPhwtI0Ktkvag0k4alb26XC6J8tIfLJw+XAfdFYL9eIxCMLJtWJhOjWjp1hCRotavdIZsFE9WeQSClfnTuGPQaFeOGJtPY5eThf9Vz2uhc1m5pkfnZPe/XcP0pI6jrFEgjC9ITef2bJp6cN5bP9najVSmxu2LxEEumjsDm9kv7/1EFqfiDsaSwVpePoWlGnphXTbPVjVGr5pmN9Zw2ejAVOYn4gmHZnCQIvliSdcBHxTUnAv57nH5Wzx1Da59HIqWv6XDw1HljuWxyMekJOu5fL6iY+wJBHp07hvoOB8VZCWhUSs598ouY3uf8YwoEhdrI2j6qIPXXctEBbWi6mTvnVMnymGhymXlHF6DXqHB4AqgUSCInuckGvt3XS49TzaMRUt9opeypHnlcEXM30fq/lp2kZ051LjlJBpqsbtZsauL2/Er++LJArBNNyFyWnUQwHGJ3m52FE4pY8sY2XvmqmUtPLJb10ERS6fbIvJdeE2DB+AJyLAZa4sw2NnQ5USkV6DUqPq3vlghYP64R5i77K3iv2dTEgvHDsHv8stmxfb3yM6wwW7AnBqwuzlmsnFVBrsXwg/KcFTPKMekPzLgZdWoe+aiOmg4HC8YXSGDoxm43n+/tYWNdJ+ceXcBfTijCoFXz7MZ6/nx8ETqNgod/P4YOm0c2V9zY7ebPz3/Nk/PGgiJMdpIhbj7p8gV/IY/8aXa4R3HYfi47DPj8HzVxeCPZqCVBr5GSMLFAGA0kAQEUmptswO7RMu/JL0k2ajn/6HySTToZy5ZZp5apyvS5fTi8BwKpxx+iMMNMslHDmgVH4vIFf9Dw72GT2291OKS/DUk1xRxIF00soq7dIR2AxYPsDaeW4w+GcPpCErgtP9UgY5LJTzVwzxlV+AIhWnrd9Ll9MvVOOKA8IP67rsMhJXfHFqYxdkjKYV88bMDAarpatUKWtN51ehXZiYaYBF084ImNhFOrglLTIz1Bh83tl5JPhQKZkkBmkpZ7zxjF9tY+tColvkCQZJNOVsBbNq2MO9ftYlplTtwktq3Pw+Mf13PDNEGBubHbLWMAAuhx+ahpd7B2S0vcZtHVUQpMd51exfDMhJjkf82mpsPqdL+ixfNLUbmtvy+88lVzTPNm0cQiVr67kytOKpGYCUXQfDAsV3MTySFWzRnJ3i4HYRTc/X6tVIAryjBjMWhxev2olDA42Sg7BC6ZOoIHP6xl1pg8Xvi8Uca+0/8wPhB46Ot9vTz+cT3X/7/SWJXaqWW88nUTJVkFNHY7Zesp3nuplMJh/LuGVw/bz2+hUJiadoesoL9k6ghWb9gja47d/PZObphaSmWehXabVxYTjRoVz31aLwHn93Y5SDVqZMyy962v4eKJRSybNoJQGK6eUkpthwOPP0heilEWP5dPL6fL4eWBD+qkQkkoLAAz+/tpZqIeh8cf16fqOuySOpzoz1dOGS7bI44YmhIXwCraYf87NEyMrSvf3RkzBHDJCcXoo0BG4p5o9wSw91M1EpuMYiGr0+FFp1KyKJK7Lp5UyL/rOvn9kUPx+ENsabHB5408GiHSyU020Gn3ctUrQlNDpYS0BG0Mc6IY96OZ5J7a2MiyVFMMKP/mmRXst3rY0+WM6+PLp5fjC8glTD3+EK29rpji3qKJRbT0DtwcL81KlHKAUCjMu9vbYvKoKWVZh/OEn2jxcoGK3KTvJbIZkmpikMXIzf1IQJ79tHFABl+PP4TXLW/At/Z5ePzjvdwxuxKXL0BLr5u3vm3hgbNG0ef2k2TUsnztdqnBuGJGOYFAEK8/yCMb5CrI955Zxa5WG55AiNxko8QIf/XJw+MqNQ9OMXDL27uYNSY3fhHXGyA/1UCKUcune7rITtJz68yRXPPaFtn7rNnUxB2zKnl70bHkJRtZt7P9sK/+DDbQ+Un0wx9CtiSeW6JVwcNhsHv8bG/piwtYHpZmlAjJbB4/qSYdXzf2smpdjcQAKTa2q/OTmHvUEM4cmycbmBg12IJBo6Sm3YEvEOapjY0SW/C9Z1ax6r1dbGrsk65Tr1Hy3PxxMQMhYj4QL0fw+EMUpJl5PJIDRavMZybqpdg6EKnO3m4HC6MUHO86vYrJpZm8/RsnA/s17ft8dEiqidtmjKC+J77CYZfdx0tfNUkDk+Lg46JJRVw8sYj7P5Cz4r7+TRPHD8/CGmHpreuwc9/6Ohmjq+ijazY1cd5RQ3jo7NF4AkEGRwYFvtl3YMDywvGFvPJ1EzedWs6+Hid3vy/ksgPFzP29Lp7Z2MjCiYXUdDikpnt043zxJAGwesvMCgozYgdt9BoliToVaQl6ibCq/zo8DDr477LvWydXTSmV/eyaKSUsnlTE0DQT4TDc9u5OGrvdXHvycMlXohUzspP03DCtjK37+wgD96yvIUmv4bKTislK1ElgZ7HedM8ZVdS0OwiEBMb4Zz8VhuP657SXnFBMmkkrO/eJwyqvfN3M1MpBsjPp4klFFGWaOboglUAoFHfNxyOG+l81T8BPeoJOdk5PT9DhCfg5YujBZ/w+bIdtIPsu3z1sh+1Qte/y28fPreboYWmHc67Ddkjad/muSqFGrVb+V8w2HLb/PrMYVFx0fKEMCHDTqWVYXUINMxAMs7PNJutjxqvdXHJCMde/sZUF44fRMYBa1vZWGw98UMejc0dz7xmjsHv9pJm03DWnksYeV4ya39NR5/4F4wsYmmZiUJKehi4HLVY/t0cGRsX3XxYh31cqFOjUSpa9uZ2pI3PwhEO4/fC3L2q5akqpVKdYs6mJh84ZTWOXk2A4TJJBw4LnvmJkTiIXjB+G2xcQhsX9Qs13ZdSAql6tYvW/6pg9Jo+H/1UXl7xtn9UlAf76PHu5ffZIiehXo1Rgc/tQoOCJTwQy1oUTCyUgkljb+GBXG4/OHcNXjVa0KiWBYIjFfz9QH4smgG/t87Cr3S79O7q+OG5IMkve2CbNDnn8IW5au4O7T6/iqle2SjXrRZMKZefDxzbsYdnUMm5cK/ePMPIz5MEypVLBUQWprJw1kqsGUFEuyUxkV5tdVrcaNdhCqlnLqQ9sjHnPUYMtHFecQUO3E61aQbPVFaMKtmhiEY9t2MMZ1UKN9YzqPEkB9L4Parng2IIYRU2PP0Rth53MRF1MbWlyWTaeQJB9VldMP9ViVNPa6+atLS1ceHyhNG9j0qoJhgQyNYc3iNMbQKNSyPYhjVLBu9vaOPfooTGfedWUEkqyzAxLr0KhUODx++mw+7nvA/n3LEg3xa0Z7IqqdYiWazGwcGKh1Nt++F/1XHtKCfOPKcAfCrFqXY1szd7w1nYWTiiUwFF6jZJ/XHwsCgWsfO/LmBqdSEy/aFJhDPn1pS9+KxFXiXttXoqJ0uxDq3Y8ENHY1hYbf1nzLXfOqeK200bS7fRx+UubKc4wc8H4YfgCQXKS9SQaNIAA1FkZUWJd/o+dMapVINyXjASdFN/F1659bStPzKsmUa+mz+2X+czgFCNdDh8LX/gGQKrdNnY7485btcZRtl00sYiOXhcLJxQyyGLAoFFx27s7ZT2zxk47WclGtrf0UTU4lXvXH5jBKY7MZJ05Ng9nBLjQ3OMiy6KX90y8ARmQw+MPcd3rAuDs1a+bY2pnS6aOwOryxvR+z6jOIxAMyvrd90cBwWaOHszlL22WzV7qNUouPaGIB88ejccfpLXPTWOXkycj6s8mrU+anROv7a5/1rBqdiUtNi9luRapLx9PyfSEEVm4fEFKsswH3WcBNColo/JSJVCxGJ8GJRu47MUtMmCOyxfk7S2tsjmW+z+oZf7vhnLk0BS0KiV5qSb2R9QRH/lXHdOrcsixGCjOMvHM+ePocnhRKBSsjNRZxRps/xinVx+QWBNnYUVgnNUpVw5UKIjrw+19nhhy6sWTikjQq3nwwz0SSG7hhEKyEvU0WQWCB6vLJ81EisIXf/2sKZZs4VRBPOD/nvtKJjwEAvn6or/vZuHEwrjXJirI9e9pXD55OI9uqOe20yrosHkwaDX0unzS7Ht+qoEHzh7NrlZb5N4EpVwiGIKHPqyLu25XvruLs8flc+kJReSlCrXuYDjE5mYbezttMeSzS6aO4P71NUwsyWJommnAmcyDaa19Hh7+Vz0LJxRK9fvLo9TTAe6NqLK29nnYud8eE0sbu9102L30OLyS2nV+quE7SUv7Kx7fMrMCmztApy8gATmf+GSvlN9anT4UCAqERp0ar9+PSaeW+XuKSSOB6EQS3JtnljMk1STLQRdNLGLpG9u4fHKJjAhgoDXQ4/ThD4YpzkhAq1Ywa3QedreX7CQDN761XcJIPHzOaKwuvxTTxbV5yQnF1LTZeWtLS0zOePuskTR1u7mm31z8oxv2cMXkElZv2BN3pvORj+qknK0wI0ECewJsauyj1+WXCc6smFFObbudW97ZxV9OKGJiiVw1fdHEIna12klL0MXdK/NSDMw/pkBa25mJB39+TalUcNKITDLnH8GG2s4Y8ZFmqxubJxBDhi+qw8abi4omX4ADhLfR5vGHGJZ+oFdqdfkwaFTcs74Wq8vHsqllPPJRnQQsF31x2bQy6rscvLO1leNLMqhKEZQsnd4ARq2aK08ajkmrxqRTk6BXsc/qlmKWqAou5hz9z1R2jx+7J8itb++SATzj5YP3fVDLqtmVpJg17Nxvl82OvbW5JQZIPbksm3AoJFtrqWYt17y6lcZuN9lJ+hiBo8snD+fBD2p4Yl41n+/tIRiCv3/RyBlj82X5xeJJRVyQbJAIg0QLhQU/3tT4jex1tz9IjysUQ7osPnePX8CDCCIhsQBrcb7zULTDPYrD9nPZYcDn/6iJwxu72mxS0gBC4G+2umICotsXRK1QcuNbW6QC2S3v7CY/1SApFygV4PAGZMWIBeMLUEZYMcTXLAYN1UMOPhPEYTv4plQqGJ1nYcH4AtRKQXVu5bs7mVaZQ2IoJCtW3L1uN1ecVCKx8ICQiPc4vLLCw41v7cDq8kl/G29zF1l/9Bol3kBIYjg6bVTOIVEsOGyHhg2kpgvEDNUCFKSbWDypiBSjFpNOTVaSjg21XZL/PfxRvewwcXUEFHTa6FyueXWrzE9Fpbno1/JTDayOMIaZdSoe+qiOqSNzGD04PmtjbrKBu0+vIiNBy4barri/k2rSsnZLC2eOzWNMvkX6XgaNikV//0bW9Lj0xW95d/GxMYN/V00pPawi8ytaPL/MSzYyOi+ZTodXppzU2ufB6fHLYql4ENKqlKyYXs71b2yTYuAjvx894IFocLJRYokUgaB6jZJnzh9HrztMwBfi7S37DwBBjVr6XD6unFKKLxDk+JIMyfdBrrr54Id13wEeSmDB+AKyk/TctFbOsPvIhjqunlLKwx/V8acJcjXTeO9VnZ9CWfb3A2IO289rDd1OCUwOwrNfHnmW0cU0jz9EolHHv+u6STNrGZGdyI5WoQj+5Ma9nDk2j3e3tnLXnEpMOjU7Wm0sfWuH7Dlf//o27jq9iic/2cP8Y4YxNM1EkkFNl8PD4+dWY3X5SDPr2N/rkhU+QFDHm1OdG+OnN63dweq5Y+L6VHFGAgsnFkpry+rykWsxsGbBkTi9QXxBgb2rf5FFLJoe9r9Dx6TYmpVAj9PLX6MKh6JK4YLxBYwabCE/1cSQVBMN3U5e+EJgR+tfhL357Z3MGpMbYW88oBb04iaBldWsO8AKvaXFxpcNVh7/WCi2i0XJaGa5v80/gtVzx+DyBUnQq9nT6WB6VY6U/4r+Z9SquPWdPTLGV38giFGnpqHbGdfHl7yxLS5z3RFDU+n1CM28dLNOauBo1Qoumzw8pjkuMgOL1tDtlKlGi7lEyS+glPS/Zt+Vo2bNG4lPqYvbvFcqFZRmC2pb0fFXKIq74jYUHtuwh0tOLI6JgVaXj11tdtZuaWHxpGIAFkZUm7OT9Jw2OheVEo4qSKW2w05RRgJXv7pFBvbUa5SYtCoWrxUYqbOT9JJf5UQpd8OBvOHu06tkjdP+cdnpC3DxxCLOeOwz6Xs8ed4YHjpnNN/ui2alL2J0XjJqtZL6TsdhX/2ZbCDfFP1wSlnWd/ooHBj4iCYg02uU0pDCdf+vNIYUYsU/dnDOkUNosrp5/ON6ijPMXHbScOl9nvusUWhGJ+nRq1UxascA/mCYr5p6CIfh1a8F1bdwWPhsm8vPpNIstkUaneL6cHgCMfW0+z6oZcH4Aon9tH8Dyu72C2B/5GCiIakmKnKTpDXw3GeNEsPxkFQjCXoNJ9/38fcO8Ry277bv81GlUkFpgpehGZlxWXVNOjWbGvto6d0h+c/UkTmkmbQYdSqunlIqDXGI+WggFOKO2ZWolQqCEXXM6MFQEdR21ZRS6jocOH1BVq3bxZwxg3npq30S2/DUkTk8sqGO22dV0uvyUN/llZp+uRajrEkv+uLtEeXO6DOhXq1EpUBSZ8hI1NFh85JsVFM+KCmGMXfxpCJG5CRxwTObpLPgs58K/plrMTA8K+FwPeC/zL5vnUwuzWT13Gq2NPeSl2rC5vJSNdhCIBTm/6IUL57a2MifjiuI1AgOkIe19nnYur+Pxz+WN92vfmUbc6pzGZ6ZwOq5Y7B7Auxut3PjWztke//8YwRF5f457d3vC2rOl08uJivJgEmrorbdziMb6plTnRszZHbv+lrWLjyGJqsLEAYBXtzULPusw8Q8URZWcee6bTIG9DvX7eb2g8xSf9gO2/faYd89bL9F+w6/DYWDh/Ouw3bo2nf4bpfTe7Cv7rAdtgHN6gqQnqDhmfPHSWegYDjINa9uA8AXFAaBo/uYYr1JBOY0dDklJc/la3fw9PljB5xR0WuU1Hc6WfnubulnS6eWxvSR7n6/hvnHFPDEJ/XkWIzsarNz+7u7mTUml1e+aua6U/4/e2ce3kSd//F3Jmeb3nftBaUFSmnLDSqwayuIUORWV0Vl2a3uikXRXV130fUWRVTUVVnxXA+8/amIrCCLrKCLolzlhpZCD+idpGmu+f2RzjSTTNKkTZpJ+3k9j88jaTLznZn3fL7X58gTddgeFK9FZaMeR+t0uPlXOQKHXmcH8nFZsXh1x0mMSIuBTAakd65b7D3TivLOYCeN0l6ZNClK5VL586pxmXj7+0qUFqZBwQCv3jgeP1Y2AQAsFptg/6Bs6hA8sekQJmYn8vu8n+89g/tKR+ChuSNR1WgQXWdbc+UoVNS0CqrscGscw5MjUd1scEkA7/icuD3wESlFoonij9brBGvWNla47rz3TCtUP1XhtSUTcK7NiPgINT75qQpZ8Vk9VJz/USgYzC68AAVuqigrFAzmFqUhNykCtS1GpERrkJ8ajSoRv0CNkkFmnH3/q6XdxAdWxIarsHphEY7UtwnWO1uMZjy+oIj3IeCCbIenRIoeOzvR7g92z8wRWLOoCFYWUDAynGrQ43i9DlqVXLD2q1XJoVUpkBipxp2X5eF8WwciwxSormnHSaMBH/1UjUXj0pERG47zug6XvV+N0l5pqNHQwVd/MnQma33tu5MoLUzD4Phw/O3T/XhiYREf7Al0afD1JRNEr8V5SKZRMojUKAG0w2qzJ4htMpgQHabE+h0ncP/sfNF3NjFCLfj3OZ0REwbFi/ozjEiNxEVD4mFwUyXTOXGVFAtJZMaGiwYJcQkT73j/Z3xx6xSkRmv4hPXl7+zhgx5So9UYmxWLFoMZcKg6e17fIfqcEiLEg1sa9Wb8SWSf4HSjAXqT1cXe/3WWeNLUC2LCwYLFmkVFOHZOb6/E6BDwlBqtwfUXZuHO6cMhZ2SICVPAaLHiUE0HzrQ2wcYCn/1yhrdrVps9uPOd/1UJxlSvfHcSf7psuKA657LiHNFrkzP2ao7Oa2cPfn4QTy4qQkKEEi9cNxZ7qpoECQ0TtCo+mIsLIGrUdaDNaBa1nxlxWpxpMiAlJgyrNx9BbLgKf5mZhz9/8Itbves7LBiSGIHhyVEYkRqNtBgNrlq3y6WdZVOzoVHIccvbP+GuGXlBT9Ba12pfE3dOprsyfoQgMOf2S4fCxrKYOiwJDCNDmFKOwQlaTBwcC6PZhtMNeiRGCgvrPDBnJIYkaGEwmXG4Voe/fmy3R6u/quA1wLKAwWzFox/sddGgY1XP4cmR+Oficfjzh3uxYGy6qGZd/F1SonDPx3ux7JIcJEaoEa5WoKbZgDajBTUtRj5IjkuwOn9MOhaMta/hnmk2CKr2OiZbyIyzV6obkhiB6uZ2Qb/Msaw4x2PbxmbFYsW0oWBk9nHY7ZfmorKxHW/uOoWrx2fiwNlWPpDescre+Kw4HKhpEVQa5QKpuPeixWjGP68fh/+dahT0a9was8lqw8hUe6LrhAg1LstPQXp0GHITtaht7UBMmBL1bUZclJOIN3dV4omFhaLXEKEObmhGUqSGr7r6yLx8qBRy0XfTaLF/pjNZRK8jSqPA2SYDnlhYhHaTBQkRaug6TC5jw6vHZ/IJG7nfWm1Ao96M1ZsP4YkFRWhqN2Hd4rE4WNOGQXHhMNtseKDTV4DjlktyXKpxPvqlvfqzo1YTI1R46T/HXZK03lo8FK9/d0IQ2OvOJ7GqqR3rd5zAA3NG4onOCqJZ8WF4cE4+XlsyAd8dP48WoxX3fGwPNM2KD8Md04ej3WRBVWM770s0f0w6zDYrXl8yAdVNBiRGanCsvs0lQQvnJ3nivB57z7Ti3NZj/B7Kodo2XovcXnJ5SY6Lf0V0uBJPXzkKOpMF6bFhuOvDvTBZWCydnI2CtGgsfX23yzlXLyxCZJhC9B6caW7n7YhU/NdsNhabK+qwalMFX1HacdxwXtcBk9U1ked7u6v5IEduvjY4QYuECDX+9sk+l3spNp5r0HXw9j45Qo3hF0QiXquCprOi6t4zrTjRoMdLi8eirsWIysZ2rN1ylD/23jOteHJRIe54/0fcckmOoO/mzvHS4rF46spROFqvQ3aiVuDTwNmysVmxuPtDYZvP6Ux4YmERjta3YWhypPj7bLbijvfsQcKp0RosuyQH2YlayCBDQqQSz/1mNNo6LGjSmxAdrsTaLUdRWpiGMCWDvNQovLDtKJ+MoabFiBaHOAyWBdbvOImaFiOaDWZMGBSHBp0Jk3PiseS1/wl098yWo1h79Wi+n+Rw9y7GaVUux3D0K9YoGYQp5bDYbPjwx2pRfzUpaFcU2qMg/AQFfA5QOOcNZ+MJ2Ds+5wn2kKQItFtcFw0qG9oFWbrLS+yDcc4pSKuSQ6tRYPVXR6BR2jOshamoFDHRRWacFsNTorCis1LAonHpGJkWDZWcwc3/+lGguYqaVhcNtnZYXTKnAfZMP+/vds2u6FzJgPv/VQsKpdvpE0HD3SKo2GfFw5KRnRAhCMJrN3VlFHHe/AlXMrj/inyc6VzccESs2mFlQztqmo14estRqBQy3DR1CB74/CC+TYpwycDywJyROHlOh5pWEwbFh+M9kXfhwTkjcbbFgDmj0pCbHIGMWC1/vTuPnxddtKttNQoc/1S2DozKpupHfY2YLjlHcefF/7zUaPz+zd0uE6XkKDVqW9oFgTxVja4ZCO+bnQ+TxYo9Vc2iE8XvTzbinR+qMH9MOgoyYpCTFIlHNnZlKHz1xvH46yf7cWuxeFZFLjA/JykCD88twF8/EWZEO9NkwKTB8WgymESzbWmUDO6ZlYfUaA2fvVRsYvfIvAJkxYfx45/ugg0I/1HXKl4hSc4Iv6dRMjhU28oHE/9lxnAUpkVj75kW3Dl9OK+rb46cR2FaFJZMHix63GP1OlyUkwh9hwW1rUa89X0VmgwmLLskB299X4XrL8zCkMQIl+yVucmR6LCIV3ZpaTe7fP+huSPRYbXyQdbcAsLYrDgAwI5j53Hzv37E76Zkix4zOyGcryx3qkGPulajoOq9zcaKfk4EDkfbarOxqG5ow92fdAW/DU+Jwq+GJvHPITM2HLcW57okH+GCL1nWPh51fP5ckMQzvykS2Ckum1pNi+uYwGi24b/HG7D9SB2uv3AwmgxmrN9x0iXj6X2z8yEDsGhsBkxWGyYOjsM9H+/jF6VXTBsKs5UVPX5mXDg/XuG0HB2u5IPmuA2cRePScWF2PJ7cfAgleSlYvbAIckaG3CT7fXPUqLt3/0hdGwCQpnuJuzFqmLkVY/Ly3P5ucILrWIGbEy25KAtlU7ORFhOGqsZ2fkOhskHv0q9yWTpvuSQX8VolzNYwwYYe11/bWODlb0/g+WtG884hjmPR5nYTr70mgwmRGgVeuWEcGpwyzwJ2/Zg7s/W56+uHJkdg4Ys7BQvBv33tR/xt5nDkJEXCaLLgsfmFGJthD/YE3Gu1skFPNrkHeHIiYRhZtxoVG89yDh9NBhOsVhusNvCL4VzV2N9NkeOzX87wY9m7P9zHb+jUtBjx3DfH8JcZwwENRDeWn1xUKOjTOY2XF+fi5f+ewG2XDsU/rx+HX043o73Teek3EzLd9PERWPef47g0P0UQRL28JBc6k4X/rmMwEcPIUDwsGYkaFmOWTECj3oRTDXo8+uUh+2bswiKvnHh6ykDSeHeOTjarFQVp4kliMuPCRAOS5Yx9HPDhj9WYPyYdkRo55o3J4CvLapQMHl9YiNZ2s0tQb2ZcOGo7HUK5zeJbi3NR1WgQnf+caW6HwWThndQ6LFbI5TJRfVQ16HHf7HyYLVas+Vq4LqZS2DfaV391BE0GEzaUTQIAqJUyQSKr+AgVWNZ1PLN2yzE8f+1ovwR7iumPCC6e3pOqJgPKOtcYOEeZJa/9z8WRi8sefs/MPJxpFiaW+OyXrmzX3LuQFReOhEg17u2suMJlNXaEm0eKrZkZzXZH3X9sO4bVC4ug7nRSfXTeSJht4mPgQ3VtuPP9LgerFdOGwmpj0W62YnxWHDJjw0Xvz0CymRzndR2iNum8joI3CGlD2iVCEU+6zYoT75sIQgp40m56bFiQWkUQ3dPcbsbf/68rsdOhWh2+PVKPh+cW4IdTjchNisTqzYfw24sGY8W0oXwyGa7aS0NbB976vop3xDWabThwplU0ud6G3VV4cM5IrPn3EUEbGg1mt/to5cW5gn1XlgUfgCHmKGu1sXjsy8PQKBk8fVUR1t8wDud1Jhyp07k4kK9eWIidJxvxzRF74uh7Lh/ushe2snQEXth2DL+fOgSrNx/CHdOHg7WxKHUItOKOt/Zq+36BY6W6zLhwRKgU2PC/KiydPISvlsolpG5pt+DdHyqxaKz4OtuJczoYLUJ/C87h96krR6HdITALsK/NOD4nbh1ErWRE75fFJjznZ7+ccfGVu3JcJu768Be+ktP9V+QjSiMtn7fu1rsUCgZFGbEoyuj6TGwdds2Vo3CyQYdlb+/hA465+/7wxgpcf2GWU5XMPOj0Bpe9gdRojcs7sLzEHnBcWpiGk+d1iNeqBVr7y4zhLnNrlgVue+9nlE0dArmccalKplEymDg4Dk/9+zCuGp8lqiGGAYwmKxIiNXySScd3ctHYDCydnA0W4msH+8+0iFb0TY3pqlTJ7XcYLcJ94wfnjERVgx63XzoUWo14kEW4QzAQt17sKRnXoIQInDinEz2Wc+IqKa5fVDUZ+GqzmXHCvSigK+h1UnYC0mPCkRChxt7qZmQnRuCVHccxb0wGHvz8IH43JVsQQPGvXVUu7/6Dc0biSH2b24BdsX2CZcU5+OyXM4JqVk0GExp1Hbhz+jCs3nxYYB8jNXK0GC1Y4bC+9PfZ+XjhP/Zj1rQYsWqT3SY/e/Vo3PH+Xjy2oICvhPvZL2dc9nsfX1iIaydmCa7lkXkFsFgsgvfKXcAEl1RbTM+H69oQro7BG/89hYKMGAyKD8d9pfnQmSxY/9+TWHZJDrI612ZtNhse+dJefVHsPPvPtuL5b47h7su7kgQf6ayy7C4At9FgwuiEGPyvshHJURq3wctp0WF4ujN4RgoJWsNVCtFkulFhCj7whksizfXXXIDKmiuLcNBN4oIRKZFQKRkUpcdgc0Ud1m6xvxs21uaii0fnF3j0t1pekguzzYa6tnY0GUz48Mdq18puTtUH778iHyfP6fiATkc4/2/uWp374LKp2QhTygV/B8BXuyubmo0ojRI/VjYiN1k8CQBnjsQqp983O59fJ+bWbaPDVZA3t+OBK0bi7o/24Y7pQ0X3pl+4dozL+IBLvPnUlaPQ2m5GVVM79lQ1i64/c2vM6xaPw+ScBAxK6NJeYUYsCmFPbPHlgRqEKeW4rbMatfO+NVelOpjIGfDtkssY1LUaPT4LsQqA983Ox792ncTc0Zl8UOXz246hvGQo5AxQcEE0Woxm3H/FSDTqO1yqbW7YXYWxmfn4w69y8NAXB6FSyPCHX+fCYLKgpd0sai/kjHg1zma9SVCIat3isdh5shGH6nT8WH7OqDQkRijxm4mDsHbLka5A4MFxiA1X4bFNXYHtD88rQIRajn8tnYgwlb0iZ4PeXoQlQi1Hc2dFT8fnetW4TDzamfzdsR/i3o1XbhiH6HAVyt7c7dZXTM4AHZYuba7dcgzP/ma0aGDgqPSuIjDcPb33U3vg2PodJ7B6YVdSk+e/OYZI9XDRc7Jg8dqOky46fXDOSKTHalB4wWhkJ0VJYqwACJPL21gWqxcW4VBdG++PBQD3lo5w0U6TwYSkKDVevG4sfupMbPB4Z6Id53Hs7ZcORZjDHIHr25/bekwQZFmYFoXFFw4SBOtfNS4TLQYT0uPCBJXEAftzUyns9lEmE9/L2ldtD0rnxsBiFUMP17S6BEty/jQTBsXBaLaKvs/ndB18+zkfCa6ifGq0BveWjuALE6VGa/gEwe1mG575+gimDE3ik/m0GS2I1CgEgZjceWQAzutMuPujvW61fqSuzcW+Z8aHu9iZh+YW8FU8nY/B9XP3X5EPo8WCMKUcC8amA7DbtyEJWuQkR0pGu2LQHgXhLyjgcwDDMDIMiteKdnzDkyPx+pLxqG5qR3S4CmebDEiK0oh2Eo7VEocmReLpq0YhIUIFo9kKhgE0SjnunD4U4SoFKhv1aDNanJtCDGDcLVb9Ut3ksgiYER/uOsh3s4hRlB6DddtP8I5DQxIj0Gowo91swV8uH452swWNejNffSktRiPZTp8IDcQW0i/Mjuczz3GLgRqFHE98dQgPzBmJC6I10KpdF3c9ZRZqMtirbb37Q5V9oyQ2HDbWhldvHI9GvQkKRoYYrQKnztuzED3RWdWDywIjk9kzIg5KCIfVxmJcVrzLoDfZjb3nFpi566yoqADDpAX4zhLe4q76p9hmjcXK8hn6uECeOK0a63ccElbR/M8x/Omy4bDabKKasNhs/ITz/ivy8eTmQ/wi5qPzCgDYUDZ1CM63iS/qjs+KRVHaaLy0/RievHIU1i0eh92V9ixq67YfR9nUIXjsywpcNtI1SYVGaa9SW5gRCwDIiNXy2UtTojSYlpeMQ3VtOFLXhie+OowmgwlrrhyFGfkp3QYbEP7DnT0ZlxUnWDjhAo4A+6T90U2HsLwkF4PjtThW3yZYyNh7phV1LeKLkYXp0Wg3WfHYpgp+AXh5SS7kMvtixjNbjmJ5SS6+3FcjcLKXAYgSsccaJYOj9TpkxYdj3eKxUDAMUqLt71Z1swGvL5kAg8mCzDgtBifYbemJczrsrmzkjyN2zJRw+2bqpgO1Lu/n9LxkbK6oc/k82NkrBxJchS/nit6O95/blLx6fCaSozSCMesj8wqglMsgk8lE51oHqlsRruzKVKxVyXFBjNpezXu7SNbjBC0UTAo+31uN3148BMsuycVz3xzlF6jzUqLAgsUTXx3mnSv+ce1oQRXQ9d+exB8vEd+Uy02MwBe3TsE5Xde1fn+yQXSTBAB2V7Zgd2UL//uN5VME98ZmY2GxsqLn2nemFbdt+Jk0HSQYRoYRqZG89jQKBhoFgzumD0WjrgNalQJnm9sFGwovbT/JV+gKVykwIjUS7WYr7rk8D+fajLjpX/vxuynZbjeIbr90KM40teP/fjmDxxcWwWiyIC02DDabDfvPtmHZJTkwWmxgWeD5b47jNxMykZscIT4WbjTwWS6TolT4fNlknNd3iOqWw2i2obbNhL99epA/zkaHzWF3/dSezsA+ssl9CzeeHXbrFFTUtuJIXRsf7FlenItqJ30Cndpo0OOqcZnYsLsKSydnIysuDCaLFU9dOaqr4uJ3J/H32fmiz5tzQlMwdpurVjJ4fEERWoxmPDqvEKcbdDhSaxJsepus4uNjrUqOgowYJEepcef0oWhut/AZnxeNS+e/55xpkmFkUBmbEZmQwWfF5zjqxjElMaL31edsNlZ0PDIjP6XXxw5VPFVSdhc0v2BsOu/0ccslOXj6a2EG9T9/sBf/uHY0jtXp+CzIiZFq6DosfHVv+/GGYtP+M1g8SdyuJkaoIZerwbLAzhP2qrRx4UrR704cHAcba0N1s1FQHSElWoNHNh7kx8oPzR2J/NRonGrQY9nbe1yOs6HsQtHjR6qVvb7X7vQ3RC0tx0miC8dECY7VAsQcM5oMJhytb8PaLceQFR+G9TeMw/cn7fP9d37oylQ8NCkSNrB4dssRlBam8ZnYxXR3YXY8TBZx+5udoMXyklw06DrwcKdD9LtlE5EZKd7Xc05ogP09XfPvIyibms0nIRLr7z3ZzP48LkiKVLtZJ1R7+BVBBB9P2rXZ2H793hKhiyfdDk+JEnxXik78xMDFk3bzU6OD2DKC8EyEWjyIQ84AYUo5Vm8+hKvGZeKV707inpkjBMkf39hpX7Pigjq43zYazPhox0ksnZyNMCWDgvRoHK5pxRMLinCo1tVx151fwPisOPzt0338vqvjPtrpJoNoYEF8hBKr5heg0WACI2Ow9PXdLoFR3PFrW438nrBGwSAnOQJymUxwjc9tPcY7Fs8uSkNtswEXxIaLHi9CrcQbOw8LKtU9ufkI7pg+FJfmpwgSYz00dySGJNrXWv5+xUgYTOIOy4Pitah2SiLE/Z4FC61KLvib3ReDwT+vH4valg5olHJUNxnwzNdHXZyN/3TZMMQ4rKlolAyunZiFN747haWTsxGpUSA/NQoqJYvHFxShttWI2HAlmvUd0JmsflRhcBBb/2JkwIxnvoXRbINaIXweXELT15dMAAuW90P4ueq86HpAQoQaLy0eix8rm6CSMwhXynGkXoe9Z1qhUTJ4/prRAq29uP0EVAoZHl9QhP8ePy9I9vfg5wexvCRXNNl/uFKOq8ZnoUEn7ougVSugM1kxwk2VWm7t+ZUbxon+vtFgxud77XsbRzoDDd7+oRI3Tc3G451rfGEqBaI0cpitLN5aOhG1bUYcrm3Dmn/bE609sbAAGTFhou9sTbOBP5fjerGnIF53wbqOa81SXfOtazXyDu/LisWrXnFr3s5Jx7jqkUazzSVArMlgglrO8MnOa1uNaNB34J0fqlx089DckTjjpsLt2MwYFKVHo73DjKevGoWDNa0oSIuGrsOCc61GUft4b2kelk7ORl5qJCI1Cjz51WGXamQrS0fg2a1H0WQw4VxbB38Niydl8XsacgYoTI+Bvr0DYFlBRdpnthzBY/ML0dJuxqs3jsfOEw3QKOV8gIijploNJoy8IMqNH0UMntp8BEfqdRg/OB4dZgt+rjYgWqPEQ3MK8Et1MwBg9eZDuHP6cGiUjGgwHhcQAwCvf1eJm6dm83t3GiWDf+2qcmnbimlDkRihxl0f7uXXpf+5WPy9q2pqFwQB+yvxZU8JV8lF399wpRx/3bwPN0/NEQRScklMNUoGZ5vb+ftiNAuDJjeUTeITKs7IT0FajAZbDtWDkTG8Lji/LXe+MWMyYvDS4rEwmm345/ZjuGZiFv582TBoVQokRavx/DVj8Eun3fvwpyo8d80YNHf6LWbEhsHgJmAoLyWKf/5i165VyXFBbBge/PygqD5a2818Fbis+DA+eb9AD53zB8dgzKP1OnRYbHjn+0r8afpwHKprAyMDkqPU0ChkmFOUBr3JApVChthwlWjb5TIZ4sJVLu2+ZkIWHvj8IBaMTedtkNjvuSTxuysbkR4bJqo9hYLB5fmpOFDTgrrWDsgZGQbFhwv2YQbFh0OtCO78nOu7l07ORmKkGv/4zzHRJAY2lsXjCwpQ3dyOd74X+pZmxYVhbFYCVm2q4Nfu75qRh0adETe89wt/rqz4MDx91Sg8d80Y7HWq+hkdpkR1swFThyVBq7JX7zWabXyQvXObRmfEiD6bRodg0vtm5+OMw3iYe6+Wl+RCJpNhrcNew6iMGHy0+zSKMmIFzwhg8ff/O4inripCXkosTjXowQKCPcHBCREoTI+GocMKK8vi0S/t+w6f/XIGD1wxEvf+X1fyigeuGAk5AxxyCLp393498PlBwWdxWiUenleAv368T2BL/rHNXvH+xDkdMuO1eLRz34MLJHTeP3ZXpTVMKcec0enIjAvDy9ePw9nmdtS3deC5b47irhl5GKLWITvxAn9LsMc47kPpTVYcqmvjk2pwrN9xXOCTzd2zBz8/iLtn5EGjkAt0dUGMBi9cNwZ7quz6fPuHSpSX5OLVG8ejvs2IeK3dJjnP1Y7U69Ck7xDYZK6a95P/PuISvOg4vnM3zxudGYs7pw9FdmIEVm2qgMnC8tVIkyLVONNo/71YApUjta1QK+SQy2Uudu7JRaOgVnb5qDn2SYDdJhyt1wn8wB7ZWCGogHykXoeH5o6EQg4o5MDpRr0gEYZGyeC+0ny88t8TWDp5CJZOzsYwN4H9RekxqKhp4ecEXCJiACibms0nqUiJVkEGV986jZLBhEGxGJk6CpnxYTh+Ti+43ofmjsTgMAOyE1P9pr1AQPtrhL+ggM8BjthCwENzR+KWd36CycLi+gvtxvzq8ZlgWXislvjQ3JFIjFRB32HB/rMtaDNa8dFP1XyAxWObKjBnVBqSo3rvkEb0L8QWq6LDVFi3/TjunD4UCREaKBgZXvjmmEvWrLhwlctCwYNzRiI6TIF/Xj8O7SYrwpQMbGBx/JwOVhvw1g+H+cU7boF8wRgKWiP8j0LBIE6rEAz6Od3tq27Bj6caMXdMmku2ucRItUv2yJWlI9BmNOOlxWOhkjNQyRkkRmlQ22xAXmo0Wo1mNOg6oDdZ8cyGoxiaFIHVC4sQp1WKTnATI9TIjNPiVIMe359sEDgEeLNITEgTZ3tqs7EYkRrpEpS27Ui9SyBParQGd0wf6qI7fbsJ2Ylal4kit/CzrDgHkwbHQa2U4f4rRkLXYUG4So6n/30ElwxPwic/27O0Ok9EuUyXj2yswF0z8pARq0VGrBbpsWGobNBDzoDPnHR5QaroQqLZyro4tkwYFM8H3XHVOji4DIBE3+HOnlyUHc8H08kgw20bfhZkyTKabWg3W5GbHIGi9Gikx4YLMr2mRGtw14zhWOWQge3O6cPQZjTjkY2H+Axu3Kb7PTPzsHpRIbLiwtFkMOPaiVk4p+vAk5uPCCqAOo917y0dgSFJETBbrEiNDueDOgFgUEKEIKMfR12r0R5I5WYTZM2Vo6C1tQmyknHXvOK9n7GhbJLo58HOXtnfcbYlgHhFbw5uU3LVpsOCbJxTchKQHKXGDa/+IGr7yotzse7bk1ApZHh4rt3xQskwaG23wMayLnopL86FSskgLUaDzLgMdFhtSIhU4pF5BWgzWqCSMzhW34ZXv+vKgKtRMrDZ4JKV8v7PDrosej6+oBD5F0RDoWAwJKnrWt0FwVmFsXSiG22nGvT426f7RK/lzV2VpOkAwOn3rFkL9TmdRydPLlOkI6nRGqxeVAiT1QazhRVkfW0ymBAfocaIC6JwptmI1nYL1m0/jiP1OntfLrK5rlHaK85nxYehrrUDaoUcSycPwfFzOhSlx+DO9/diwdh0l4V5biPthW+OuWST57KALi8ZioK0KGTG2a8xB5H8793plktSBbhqtruKkmST/Qsjl+PEOZ1Hh2SGkWFIUgQGJ2iRlxKF4SmROHC2jd+McNbandOHIVzFICFSgwfnjER9mz0b4t8+PcgnNpHJgNLCNACsy6bEXTOG4+nOjJWADZFhClTUtCI2TIW7PtrHt8t581dso3vVgkLEapUoGZ6E8nf38FlVAbsWS4Yn4aIh8R6rzItVnX1vd7Xopo5zxfSe4G480h/HzL44xLtzqnJ0hHMcwzraQXcZW5sNFuhMVhzudFLQqhVQymVYt3gsGnQmqDrXDy4ZnopnthwWHUP8+cO9aDKYsPbq0bwNTY3WiPa5MhkwPisBbYfrBG2J0yrx7NWjUdNiREq0Bvmp9nGAu4rHZqvVxSGjvDgXKz/dh1dvnNArW+hOf2/fUNjjYxKBxbGvddS6mCPXY/MLkRKlRm5SJOK0Spxr6xCMQbhEJc9fOxqs2Yo7LxuO7443wGoDnvjqkKiuV7z3C1QKmej7oeys3s05hNo3TDWiff0j8wrwxFeHBddmNNtgY7v+X6y/92Qz+/O4wGy14O+z8/F3B8eFv8/Oh9ka+k7ORP/Gk3Y3Hajt98HaRGjiSbcKRdcEYKAmISCki7faJQipEa1RuqwV3X9FPiJUCswsSMGYzFiYrVZcPGQ0alpd11UB8OsznM/Us1uP8slyuSo8K6YNw4GzLVj37UmXuU5cuMrl/eEchf8yIw9qJYPMOC2OOiRHfeeHKtxWMlTgtJ4UpcaK9+zrBlxSSndrt5yfl+OeQtnUbPx6aCIi1AqB38KKaUNRUdOKl789gYfmFsBms7qs3d43Ox9KuUw0eFalkPN7z4B9HvW3T/Zjw+8nIf+CaGyuqMOqTRUubXxkXgFONxmgN1nBsuATB07JScDYzFgcrmuFVq1Ai8GEZ64ahbYOC9QKOWqaDdAqFVj56Y+CdY4WoxlrFhVB12FBdXM7Xv72JADwgVbFw5JwXt8hCEpcWToCH/90GhOzE/k9x8/3nsGrN04IiB77Guf1r53Hz/P3bHCCePEIjdJeLZQbi4g9u+Ulufj7/x3AonHpolXthidH4pmvj2LGyFSXQLzTTQbRimvZCREw22xYvbAIJ87rYbHZkBKtwW3v/QyThcWSi7LwwJyRuNdBl8tLcqGU28dF+8+0oig9GiNSotBusWLOqDR+D+DBOSNx7JzObWXeP/46B09uPiRINPzs1uMu78/cUXafs2vXfy+4b3/6YB82LZ+C3OQIwTubmxyBnMQIFGbEeFwvFntu7iqAcpxq0GPVpgr+ngPAqk0VGJ4S6eaofYPjupI723SyQYfBCVrBWmVNi1GQuKumxcgnvM+KC0NlY7tgPWjp5Gx89L1rQOXwlCi8/78q/HpYkqjvy98/O4A7pw/Hk1/b/WRzkyJhttigVSugiAnHre/scbmmsy0dWL/jBF65cTxsNhZH6nU4990pLLskBynRGlQ1GvDc1mNQKWR46spR0KrlfJDbm7sqMX9Mur1tyZFY+cl+LBibzgdTOvLf4w14bqu9oiZXcc6xmnJaTBhMVhvu/XQ/TBbW5foemVeAtBg17r48DyoFg3azGfVtZqzb2OVrsbJ0BNrNZtxySS5Wb+5am+MKbQxO0EKjkKNBZxRUD3vlu5NYe/VomK02fh35te9OCX7DMDI+CSHQ2Rd8us9l3dkxuQEgXr22r6nXdfBBc47+J4MTtCgtTMM7P1Tan3eUBlVNBkESU3f7WmuuHIXoMKXAV68gLQZnmo1YtakCN/8qRxBAdM/lw118CJeX5KLFaMbgeC1UcivKS4Zi9VeHMWNkKh7/yv7brPgw+75ZawfkTCJWfrKfb1tKtBopURo3lbFleOt3E3G8XofUaA3unD4UkWolwtUKVDcZ8MJ/TuCGiwbhT9OHQyGX8f5o+g4rn4iPo7KhHWkxGnxx6xRUNeqhUjA4cKYFr3Ymx+ACC0816Pkq6BqlvYJqRkwYGg0maNUKTMlNAsPIYLHY+HGTWLApIwefqGP1wiLoOwOnX/vuFJoMJn7PWGyPzzFYVyVnPAYbc9WzT5zT4cQ5Hb45VIu5YzJxXteBhAg1PvmpCmkxgwMrzm5IjtLwY7O7Lx+GsqlDsG77cYF94u7L6oVFfP/LrdsDwLBrRuPtHypRWpjGJ/RYtcnu4+cYVLbsklw0GUwwdNjXi7lqm2kxGjz65UHsrmzhn1FsuIrfV3O203kpUWjQGV30fv8V+WgxmLCsOAcsC6zdchQqhQx3TB8m6FvTYsOwsrM6rGNClrKp2Xhx+wl+zxgA6lvtFUmdi584MjgxAoMTI7Dz+HmseO8XXDsxk3/X/7XrFF+ESCVncK7NiD9/uM8ebOjGV+ze0hFoazcJKqE+Nr8Qx+t1iNOqsHphEepajchNjsShmhZMzE7Eqk0VfGVRrp/jdPze7mo8cEU+X2VSrJrvw/MKoDdZkBkXjsLOIPNTDXrUtxkxsyAVg+K1OHy4OYBK9B1nnw+xwODFFw4WjC8dfbL1JgsYBnh8YRHMFiviI+wBd80GM6bkJKBBb0JeSiRONxmw+qsj/H1dcWmuSwDnimlDoZYzWL/DNfFBTYsRL/7nGF+BlJHZEwrpOixYVpwDrUruouWH5o7E2PQYWG0sDtW04I7pw1HVoEdeahT0RhP2nWnBOz/Yq9CnahSCsW9SlBr1rR14cfsJAMCSi7Lw8vXjYLbaeH9gANhYPgVH6tpgtrJY3Vm4hcO54AsXdP/qjeNxutGAMJUCr393AgvGZuKd7yuxcGw6wlUM1t8wDmea2qFRKfDGdydQPDwFDToj5AxwRiRBz8PzCvC3T/ehsqEdqdEaQVCpRslAo5Dj5W+PY/GFg3G2yYgv99WIBpau7ix68G7ZRFyen8oX9eD2t48ePQypQ/trhL+ggM8BjvNCQJhSLnBK4yoQJESoER+hwvodx/ksVVEaJc61GXHf7BHQquX4+MdqXBCnFZ14njins0+GkyMoYIjwikHxWtw1Iw+Halvx5q7DuHP6cByp12H9jpN45qrROFDT0pmBqBqXF6Ri9cIiQAYoZDKYbTbsOtGI3KQI/PPb41heMgw3vSlc0F271V4Vaf2OExTIRvSK7pxGY8M1WL/DtUrGkMQImKz2CgJXj8/EU1eOgsXGQi1nEBEmR2u7hR+0d1hsfIa4tVeNxt2f7RMMxldMG4rtR+pQXjIUZZ1a33umFcve2YOs+DD8+bLhLovH6THhHh0CulskJqSDOw26c/oYnKBFVpz4Jk1mfBhevmEcfjjZiCiNvdrhXz/ej3suH44hiRGCihyvfXcKALBoXDpa2s2IYpUwWWw4UteG93fbEz5cNzETf/hVDv7+2QHBgnO0RomXth/DRTmJeGx+IcZnxfH6yk6MQGZsONqMFn6Ro91sxfu7q10WUYenRLrVsTuH5fo2IyifdN/hyZ5wfe+5tg6XLFkaJYPhKVG45e2fcNeMPMwemYq0mDCcaW5HSpQGz2w5jDPNHVi9sAhH6ttgtQHrd5zEdZMyRTeUtSo5FIwMlY16NOrNgkXrO6cP4zMMbthdhXd/PwlNnQvHTQYTvjt2Hu/t7kpiIlblxfEdTIrUCBacuE2Q3KQIjEiNxuAE+4KZO43WtLjXbn92Ig4mYvbysbkjkOuh4ofjIqNjNs75o9OQGWcfx65472fe9g1JjMDZ5nY+6/fyklz8fLqZr+qVGq3BPTPzXDJ2bthdhcfmF6JZb0KYisHhGnvGNq5S3blWI7QapWBR+E+XDYNSwbjYeZVChqFJEVi3eCxqW4yob+vAk/8+DIWc4XXN6blB3+GyybZqQSHW/Fu4YCa20cYFw3KbrZlxYahqbOcXWAHStC90N9b01clTLCiyyWBCanQYX3n4pe3HBRsrL2w7hhajGbddOhRymQy/Hp6EKUOTUN9mFGxMc78ZlxWL6iYDqpva8dePhUGbJxt0WDQuHeFO2dedAy25TIlhSgZjs2KhkMswsyAFVpt94dnGwuVeiAV0dLc5zPVT8Usm4Ntj5wWbAQDIJvsJm43FyfN6HDaE43jlGY/9qiOH69pwuLZNkOmb61eHJkfiSF0b1u84iSaDCY8vLISMBaoaDRibFctr03FD71dDJyBNzuAf145Bu8kKlZzBQ51OBkfqdSgvzsXdH9rnWstLcpAVH8ZvYkao5YKN7yaDCeFKOZZdkgOT1YaSYUkoSI/hN5wfnFOA3ZWNsLH2jai7ZuTx2Zo94e4dbW03u4yFR2fG8MknelrdZ6CMmcVs5XPXjMbg+AjUt3Xds+5w3PQ9cU7H97+cHSybmo1R6eLZh882t8NqszuCThwch+PndHik06GGIys+DH+dOQJ//HUu2oxmPHPVaJisVhyt1+HNXZW8YxALlt8c4sawa64chWOdGbA37K7CjJH2jP2D4yPAyGTQqhVIjlTzAfOFGcJrcxc0H6dVgwVEN005W+hv/TW10yaXFLHZWLAssHphEY7Wt0HlMN6saTHyjlzpMWFIiQ7DoIQwfLG3lneaWV4injX95Dk9Vm8+gnFZ0bhm4iA+OUlL5ztgAwurlUV1swFpMWrcUjwUp87Zq+We7Fwz27C7Cg/OKRA46HDrve6qlojNQVkWgmQB53QdAj17spn9eVygkCuw9dApvLR4LJoNZsSEK/HWrpP43ZScYDeNIDziSbsr3vux3wdrE6GJtzZ3oCYhIKQLjReIUKXDYsM/th0TzHn/se0YbrhwEFKiwwTrVpHndKJzmslDEjA6IwZx4SrYwGLt1aNhMFkRrpLDbLVhxsgUNOg7cLTevo7w5q5KPLGwCIc7qwW+uP0EbrgoC8tLchEXruKDKZ7/z3GUFqZhSm48hiRFICsuHOsWj0NtSzsqG9vx6n9PYsrQJMhk9mqkCVo1VpbmIS0mHPmpUajqrGDnvHablxKF+lajYE9heUkucpMjkBCpQmKkWuBXoJYzePG/9rW5Z7ce4YMFHI83KCEMFiuLx+YX4u6PhAmjzjYbROdRWw7Xo8Vo4fdRZDLgCQdftMgwBT8/dLzf80enQaFgkJcaja2H63Cm2egyFyxMj3FZJ75mQhZWfXUIK6YNEwQUcmuHFw2JR/GwZGwsn4K6ViPMVhZrtxxG8fAUlyCd/upb5Lg2dKbZIJqIydyZFdRxLOKor+HJkahsNGDB2HSM61yjdd5H+8e1Y+xBcZ1raZmx4ahtNaKt3YzhqeKVCU+c1yE9NgxH63WwsfbzPNEZhAkAj3x5GFnxYQKH+6QoNdZsPoyJ2YmIDVfheL0ODMPgpe32d2vRuHSMzYrF0bo2NLdbEKG2r/XaWKAoIxoVNa2YMyoNHWYrFo3NQGKEGhEaBcJUDFSdVdsc359B8Vp8f7JBVO+1rUYUD0tGdkKE6365SHLh7vBUARQAGvQduGpcpsvza9R3IJjqddzDEavqx+2hbiyf4nat0jFAYf2OE4Iqy4D9fstkXQEMa68ejUa9CXtON+PBzw+ipsWIQ3U6LLkoC/+4ZgzOtXXwwWA1LUZUNujxx1/nCAIOVi8qREKEeHUmRgbcV5qPNZsP4fdThvCBHas3H0FWfBj+NnMEcmdGoMPC4vZOe8cFmXHXsGLaUDz4RVeQnLvzAMKKmlziMpkM+KW6GQyAR+cXoMNsQ5RGiffKJkFvsgrWvrk1cs5f0nE+8eDnB7F6YRHu7Kyk+uauSkFg2Ks7TuLXw5MwJDECd88Yhtc7n9dfLs9Dh8UGXYcFhWnR+HzZZJxuMkCrVuBPH/yCyoZ2LCvOESTIBOyBgPFaJR8smBEbjlONekH/JAWbGxeuEvU/iQlX8p/tPdOKrPgwrL16NEZnxGDP6WbBXuOG3VXYUDYJ7WYrEiM0ONmg4ysqO+7rzshPwfCUSDQbTIKKsi/8x14F+bUl41Hd1I54rQpH69rw+KbD/F5bblIEb1sdAyk7zDY8+81RlBamYcHYdN7/YMbIFGTFa/nk/3HhKmjVCsRHqDA+Kw7/q2zEnz/ch2XFOaIJfIclR+IPb/0ouIZYrVJ0zTVOq0Z2YgSGJNkD5x758jB/3zjKS3L4799+6VAcqmnFBbHhGDcojk/KbrOxqGoywGJlBb4I3BguSqPA2q/t11p5XoeESA3ucwiw4RJzAPa1Ya1KjlduHIcGnYnfg+H8OLQqOVKjNd0msa1rNULfYcGQpGj89rX/CYLI63Ud/pJhj3C0ua9/V4mH5uVjzqg0GC02nGvrgErOYNG4dJQMT0KESiG+dn9eL9qfvOgwfr4wOw73fGwP7LpkaAKWTB6MlnYzEiLUeHLzIeyubAHQZWfKpmZj7ZZj/Bh10bh0ZMWFIzFSg6N1bUiK0qDJIKyo+NauSswYmcprkWvHy9tPYMrQJMgZ4NLhSWgxml1sjdFsQ05iBP8ec89HBharFxaBZe17H572tLjg2XazDX/7tCuRCZckpGxqNhQMg8qGdryw7RjvA8HtG2YnRCBCLceDXxzkqzkOSYzAoGg5zhmBuz86JLiu1V8dwuUFqRieEon8C/JQ1aDnn4ljMLk9cbcKz10zBi0GE8JVCqzfcZz3schLjcIDnx/gk1asWlCIC2I0iNeq+WIaUsRRux/+WI3rL8zCu/+rcvBFicNF2fGoajKIVgs/ed7AP+v1N4zj9cklQDjf1oFHvjwkOKfRbENrhxU2dNlfjcJetOfpr48Ikke8uO0Yb98rG9phMFkwNjMGcobByk+7znX7pUNhtVjxj2vGQG+yIiVKjdEZsVAoGFyUHQ8A2F1p98F94PMDuHZiFjburcHV4zP5xA6LxqVjaHIkkiLVWP6usJDGI18eRnlJDoanRAmKV3DjwyWv/eDy/saFq1wC/f/46xzc/VFXBe7y4ly8+J9jmDMqDTFaFc40tcNg1uGCmHDsrW7GxOxEbD1Ui6vGZ2Hd9kN8goGnrhyFdrMV6bFhkMkgeBdtLIv7Z+cjMVKNw3VtfPKhuy/XQCWX497/O4AGvQkvLR5rr2qtUuDl7cf5d4wLzI7UKGEwWRGpUUpWv87QehnhLyjgkxAsBOw8fl5gaLnqH48vKMCp8zpcOS4Tf+6c2GmUDB64Ih+t7SY8+qV9QcRdGeoJg+KQFNXlVEQQ3cE54ygZGdZuOYZHNnZlhvv7Zwf4gdxV4zIFC7j3lo7Auz9U4Ui9Di9cOwbTR6Rgz+lm0UW1zLiwzvLgkaRLokd442Cfnxrlkq2lvDgXL2w7hmsnZfHVwQCIZjRZXpKLd36wO0Q/PK8AD395UDB41ygZ5KVEgpEBuyubXLRe2dCOM00GjMuKg1Iu4xchunMI6G6RmJAGnjTo6RkPTtDi8QWF+LNDIM/tlw7Fn97fizmj0gTZNsumZiM6XIWyN38UaDQ2XIXrL8wS2ODHFxTiwux4qOQMhqdG4sQ5Pd76vmuTpzA9BmebDHh261G+0jJgXxxxrEq67Wi9YBEzLzVKdBE1LlyFq/65S/Qa3W0CJEVq0BHcdbUBh5g9cdSu48aGY0asF7cd67SRFUiLsQfnZMaFQ99hxkU5ibCxgL7DItiY/dcu1yqdK6YNhQ0sjtbrEBOmQEKESrBZrZJ3bcrdNSMPIzszCv/hrR9cgpCcHafcBQ/cNSOPz5zquODkmM3cnUZTo8PcapcIDGL28u5PDqIwM95tP+iuei0jA36sagQjg2CzLSZcgZEX2Ddp9pxuxhs7K7FgbLpgY/KRjRUu44AV04bigmg12s1W/Hy6GVYb8PneKtz8qxy88d0pTBqSgLd/qBRoLSs+DOfahAGbWfFhuLU4Fwtf2inQtcnC8rrmgv24a8qKD8O6xeP48UNmbDiUcqbbCuCctrkN/GXFOaILraTp7vFmrOmrk6enSu58QERKJI6f02HfmRY88HnX2PPpr4/gzunDBeMEzuY6bkwbzTZo1Up7ps1L7AuVIy6Iwj++OYppI1KxbvsJwcKvxWZDdVNXQPSaK0dhRGokalu7HB8AdHsvuPYPu3UKKmpbcbrRgHClvNvNYYaRITFSLbphmRrtfjxBeIeYjt31q45w2o4NVwn69iaDCRqFHOv+cxxThiZhwVj7RseTmw/BZGExf0w6mvUmUYekfdUtePCLCn7z7f3d1Vg0Lh3DUiIRqVZi5af7+CyeRRmuFcYfX1iI926ahFPnDTh2TocXt5/gNcsFe9psLDZX1Amud9WCQkzPS/Zq3UHsHeUC7p0rhnI67E11n4EyZna2lbHhKhyt02HZ23sE92yIWu71MZ2fVZPBhOQoDepa20WrFDs6eDy5qBDrd7hW9SibOgS1Le144T8n+O9mxYfh2d+MxtjMGJzXm3G7Qz/9wnVjIWNZME6biGuuHIXMWPEkT5lx4g4ynvoHAG778kDoLzbM++dA9A1iz/nJRUWCdQXOPj/19VE0GUz44lZh9Yrxg2IRrhJWAXV0Tthd2YLrLwReXzIBLQYzIsMUaGk34/YNXZpfdkku/vCvHwW//3CvPaj+oux4bHSTuMx5TmqzsaJJIr7cVyMYj7/87QmBnj3ZzP6MSi5DSV4qn1BRo7RnVefm0gQhVTxpdyAEaxOhibc2d6AmISCkC40XiFCFcwp33H8EgEaDGY9/dViwbuVu3jwmMxabK+r4/Uru84mDhU7UjolCD9e1CdYiX/+uEtdfmCUISuCqCy4YY68aqFAwmJyTgH1nWvgqPnvPtCI1WoPrL8zCTf8SBl1Mz0sWBFat33EC983Ox2ObKnhH89ykCKREaZDYmSAKAE6e10PJRMLKsjhSp+Or5gFAaWEan8DPMcnaF7dOwbBkLc40G7G8JBeJEWq+ytmV49JF51FWG7C3uhmx4SosnpTlskf48o7jLgkDHdcpGEaG4mHJyEmMwJjMWBhMFr6yjWPin7pWI5RyBm1GE9ZePdptQINzdSebjUV6bBga9R3YUDYJ55t1GJwS26+TZDtqXNdhxWe/nHFJUMolGHOuvsjpYVlxDp7banewv3jIeJf93+UluahuMvBrBVYb8OS/j6DJYMLSydm4+6O9LpWVyovtSR3TYtQoLxmK+rYO6E0W0eAxg8kClZxBdoIWSgWD3ZUt2F3Zwvs4bNh9EqWFaQhTMhg/OBZnmoxYvVm4TvH+j1XosNiwfscJPDhnJP598CxGZcQL3s9H5xUgMVIFpVyOZAdfSE/rBn3pf6OSM/zaBmAfJ67dehQbyiYF/NyecHw3T9Y2IkKrxW0bhMELAFDfZsSEQfECm/vZL2dc/K5Wlo7Auu3HBb/VKBloOpOUcUkYAaDVIdl4k8EErUaJ+zuDYBx/mxmvRbOhQxBs9/AXh6BSyFwS5T5wRT6iw1V4futR7D3Tiv1nf8aX5VOwoWwS6lo7EBuuxJ6qJqTEhONvn9h/V9NixBs77QFAGbHhqGs1QqNg+LaJXeftlw7lr4mrqMlVkMuM00LOQLCf5s5GnTin4++nWsGIzidYsIJ3u91sr8rM2WrnSswZcWHYU9WM2za4rg0D4BMkc/fX+d344VQT1m45Jui7NnbqY3BKnCRsrtlqdbFL983Oh8li5a/JWW/WzvJ7NhaQy4CC9Gg+IeiJc137EoDrvi7nvy1WVZxlgdykCFy1bpfgXq5472d8cPOFvM3lAp2Wl+QiKVKNFdOGCbTruC/sLhids2diVQpXLSjE3z/b73INX5ZPcXlPnPdl3dnJkmFJuDA7nk+YEadVC56/4/r076ZkC3wRuGMsuyQHe8+08oGk7988SbBenBkbjtEZsahq1CNcpeDtd2WDHkfrdXxA7Bs77ck3o8NVLtfivO+RHKWBjWVx10f7BPfjqa+P4F+/DW5FcGebm5MYAZ3R6nJNBWkxqGrUu/TZ983Ox4v/OcaPG/NSolBR28rvdXGBWNOGJ/FjtvGD4/lCJeUlOXywJ4fRbMOQxAheA9yewurN9rFA2dRsNBrMUDCue1ItRjM2lE1CTYsR+84I2wHYk3ekxYSL6mtQfDgflJmbFAGD2SJIWt3dnhY3RjpU2ypqO4cmR/Ln2numFee2HuP9d3KSIvHoxgoAwLUTMzEkKQJRGgUuiA5Dc2srlr39i0t/vbwkFywL/MkhTuOReQVIjdbg7o/28nvZ5cW5+NsnB+zJYheNwslGPe9LNyhei1ve/klw7Ls+3CsokOTNPl4wcNbukNQ4TB+RgnM61yIT7pKBa5T2KpMHzrRgdlEaPvyxGjUtRtzz8T68euN4UZ0wMvu8zLG/G5cVjXtL8/FLdTNykyKxalOFy9ihsrEdGXHhmDg4Hq/eOAGVDXocqm2DRsHgvs8rBLZzbJb9flc1GVD25m5BG9b8+wheXzIByVFql+s91aAXDai32iDqb8EV2+L8FsOUDMYPisMvp5tgZYFll+TAaLFhwqBYviou0KXBpZOzMTojBlNyElHZaEBVox5RGiUuHZ4EvcmKX+fGYvGrXQW4Khvacft7P2N5SS5GZcTw7RMbP9x+6VD+7xqlHLWtRj4I9e4P99l9kR0Sb3ja8/ZlXz9Y0HoZ4S8o4JMQ4G5QHaFR4lBtK++YCdiN+73/dwBLJ2ejsqEdcgYYlKB1meSsuXIUxg2Kk+TggJA2DCODViPnJ2mOmeGGJEbgsfmFWNKZHQewa/KBzkwwM0am4u+fHeCrcYjpuqrRvnh/0ZD4HmVNIwhvHOwVCgZzi9KQGq3BzhONgmoYU5vaBdqcPybdZeH1mS1H8eJ1Y6GUy6BgwGdxcZyonDyvQ2KkGqedjgfYtd5itKLszd3Y6NAucgjoH3jSYHfPODVGI9ik4bIWcsFJQFfih3fLJrrY4ryUSD67H3fsP3+4F1/cOgUzC1JxXtfBZwRyXGR7YmERSgvT+OxoVhsEujvVoMfe6hbBmCM1WuOSYWjNlaNgstncXqPzJoDjYuLh8wF5HIQPOGrXcWMjPzUae8+04Lmt9oxYqdEaXDUuk1+01igZPDhnJL/AvaxYWCWGy9b56o3j0dJuhlatgFYlx+3v/YzKhnbcckkOHvnykIudfH3JBCRGqt0GxHMLGs9/c8xFr87fXfb2HmxaPgWv3jjBY5Vkd84B+alRHp3tCf/Tkz7RuVKQYzZO56yogF1nG8unQKOUCzZoxPS7bvFY1Ld1QKtSQM7IYLHJkKVpR/zwJNS2GPGr3AQ89MVBTBmaxDvMO9rZjeVTMG5QPMbYWBSkRaO+zYgwpVyw+SOmawACPVc2tLuMHxwXVt1ttDlrW2xzkjTtHd6MNX3Vb3eV3DmngyN1bS6bidxCL6dbx4p2adFhONPSjgtiNLDaWKjlMhRlxMJstSI2XI3qZj1uvChbMHbgFn4/XzYZ+RdEY3RmjNvM1o4b0e7uBdd+mQy48337eVKjNfwcsmR4ktsKi+5tcjTZ5F7iS7/qCKdtx/GnTAZMzU3gs0Jzm3jlJV3ZoblAczGHpDunD8fykhyMSI3C0ORIFKWE8bYMgKDvZlngj299KxzrfrAXG8unoLTwApxq0OOiIfEu75DY9d714V4UpEV7Nc8Se0e7C7jvTXUfT0F+/WnM7Gwr549J5+fVQNc9e/uGQq+PKTYW4JxrUqI0+OLWKahq1Ltk8+bmVVeNy+Qre8sZYHRGDBIj1Nh25BwWjE0HAHz4Y3Wns5oVGXFa3PSvbwU29A//+hEbO5M2OI89fdUFdz0pNxTCxKi73TTldBII/WltbV4/B6JvEHvOd7z/CzYtn4LX3VTJPqcTVq8IVyn4RCXZCVpUNupd3g0FY3dwG5ocCZaFYN23tDCND6Tm2sA5K3L9u7eOk+7G8u3mJJd1OUc9dxcY3V/RdVj5yhaA/b7c938H8PL144LcMoLwjCftDoRgbSI08dbmDtQkBIR0ofECEapkxWlF7SnLuq6xultX9WZe7OxwG6WW4+F5BfhrZwXLJoMJEWoFnr16NPadbYHVZl/LumtGnmC+wTAy5KdG4cXrxuKnqibYWECrkouucWwsn+Iy71HIgeyEIpfgSEem5CThVIMeNU163OW0zyFnILoWfU5nhEwGPuAnNVqD+WPSsWhcOkZcEI1H5hXw1To55/RN+2vwh1/nYNE4V/+IBz8/iKWTs9FmNKNsqt3ZOCte67Ifwa0hi/n6uJsjiiUAcpck0PH3FbpaZCdmuNVSf8BR4436DuQmRbgN2nE3FmHZrsSL47PikBqtwZjMWLQazdh3pgVv7LQnfXJ2/HZMlmbosODJRUWoqG3j1xoAYGJ2IoxmK7ITtDCYrKLnHxyvQWZ8OL++67yXsWhcOtKiw1DV1I7/nWzCc98cc1lneP6aMTha34alk7Px3DdHRf3S/vLxPsHeGYfYusFjc0f0+bqBwWQVfVcNJitUfdoSV7h3q+P8aagj40SDF7gAWWebK2NZQSDmhh+qRP2nJgyKw8yCVIHNmDUyFUmRajToTNB3WGAwW3Dn9GH40wfCqsRcUI6zRrlgRG7fVQaZS7Cq0WxDXZsRk7ITAICvZLisOEfwPDgfHK5y4nPXjMY7NxahQ6YSBKVV1LbiSF0bXvvulD2Yp7MaqsVmg1Ihw6+GJvHX543PI7dGnhqtQW5ShJv5hLCSqUxmvy4xX7Z7Pt6H1QuLeB8e7nPHPtCTTeGCchx/x71XHedPIzsx0wdlBY4ItQof/ngEj3dWoQ5TKfDGdyewcla+aPI5m42FycLy/k6cfji82dd1Z2PtCSfFf88l1nXcF3tjZyVGZ8ZgduEFvHa7S5TH4WjPuL3gocmRyEuJQqOhQ7SKYl2b0eO5nI/reH+4pKrucBxviQWhcsn8brkkBzKZPdA2MUKNQQnCaxuSZK806khtq9FlT/yWS3J4vXLX5y6o6khdm+gzaTSY3V5PX+Foc7PiM5ERqxV9PpzPlqN+3vm+Eo8vKAILlrdNLCBItFxenIvyDXtw14w8PHv1aFzp4I9iY8X9tfNTo9zuKWTGhuPZb47iL5fn4ZF5BXhmyxF7ESoGGJ8Vh/zUaERqlPyY0/G43PWI6avDauOf8S2X5LhUOO5uT4vrk9JiwgS+jNy581KicLbF4JIoe3mJvV/hfN/kjIxPcKlRMnh8QYGodtJjw/lgT+6zez7ehy9unYJXbpjA9w+OVWn//tkBLOzcW8yICYPeZBE9NmfXvd3HCxaO2h2UYO8PnN9d57GCgpGhQW/GHdOHIiZchQcdqps6jjUVctckDmuuHAWVQoZ120/wNi8zLhzNBhPONBmQmxQJlrVheclQl3nNht1VmD4iiW/zoHgt5AzDB3RycyMu4XpBWrRbW86C5ft0x+sV0zZ3TWK+QY6J3rn3va7VyFdY5lg1v0DUnssZICteC4WCEbWbW/ZWibY/Iy6cH/dyQdLO44envj6C5SW5YGQyfHv0PF/NlLM/chnwXtkkGMzWbufcvuzrBwtaLyP8BQV8EgKcO4as+DDcPSMPlQ32TkvMSKs7swgNT44EZMCrO0565VBJEN6glsv5IB9uMLyydATCVAwO1YhnTUmLDsPTW+yDZzkDvL/bdaLHDXhoA5ToDd462CsU9optzlWDPvvljGAC4W6TZHdlE17+9gTuvyJfdIFmwdh0DE/V4B/bjrlofWXpCDy39ZjXC0T0PoQWnjTY3TOO16pFA5Kcu2yNkkGEWuFiix+ZJ77wcE5nX8Q+1aAX/fvR+jY+o5xzdlrummys8F2oaTHi1f+ewutLJvCLSdyEzt01dhfQQgQXZ+1yGxuv3jhOoEuxzYPqJgP/3MUWc68en4kV7/2CJoMJf5uVh7yUSNxanIvTjQaEqeRuF026C57iEkg42kl3361ttb8HnhbHPGmUtNu39LRPdNwAcczGyS2SOiJmm8X0e/OvchAbrsJ5nUlQwev+2flQK63ITbZX9T5Sr8PUYUkexyGO7dt5/Hy3uvZmXOO4sOpuo81dsNKYzFjStI/0ZtPPk369CYhwV224ptngUm0xNToMTe0mhCnlaNKbcU7XARsLVNS2oSA9GgkRatz05k/43ZRs0es5r+/o1mb6EtjqLrv4RUPi3eqObHLg8KVfdcRR29xz1CgZLByT5pKNOC8lSqDXD3+sdqlEf8/lw1HZoAcLIFylQEZsOIxOtszxvXBnNznNuXuH/JFYR+wd9aTD3pxzoGjc2Va666ub2q0+HVfsWTk61wxO0KLNIXu8Rsng3tIReGn7cZgsLK6/MAvpseEwmCxIiFCjurmddzRznC950087t6OnCS3CzK0Yk5fn8rk7nQRCf4cPN3v8HdH3eJr3JEVqRKtki1VH4bL6x4ar8OcZw7BoXDqf6X5QgharvjrEb8CvXlgkOKa797bdbO2RzXJ+fwcnaMHIZN2OrweCzXRG1yHuHKLrsASpRQThHZ60OxCCtYnQxFubO1CTEBDShcYLRKgyOMG946yndSvWIXlug76D37sHwFePEQ0WdXC4tQf0xKCywZ4s6h/b7FXq5o9Jh5wB1l492sXXymZjsbmiTtDeR+eL79e6Wy/Iiu9+rp6dGAFz01mXezMmM9btWrS7NdnykhzMH52GDWWTsOVQPaw2u2P//DHpeGxTBZZdkivafjkDtBmteP4be2JifzmjD9R5nbc4zpVHWWwYFB/eGaQQhvzUqK7gMpGxyKoFhUiL0WDBmDRBUsdBCa7V6t7cVYknFhbhaH0brwmuWlVylAYVtfYquLHhKlw7MRPJURpUNxlw3/8dRJPBhL/MGI7bLx3KJ0XVKO2Vr6IszRg21F41yDm4l6sixvmSlZfkiGrvwNlWrPn3Ef6zlnaz12tfYvoyN53tc315ChbrkFCSv+7GtM5rNzYbi+EpUYLvL1Ir+CpVjgFuYs+myWDmk5JqlAyeXDQKG347Cu2sEhFqBb49ep5PxLdpf41owLnjvrC7YFUO7jlwf3N+HlNyEjB/dFrneughjHZYkx2SFIHBCVqMSI3CRUPi+WSDsVqlz3bLZmNxqkEPXYcFy0tyoFHK8dimClHfMq3cIngm8s59HHfrcu4CisT2qh0TFbsLmJVigYJWowlzRqXjWH0bv445Z1Q62jrMKMqMdWlvd4kgvNnX7e7dEPt9arQGTQaToGq52Bqtt3jqL2XnxNvgzbkYRobpecl8pUbn/sUdzuMMLlFsVlwY6ts6EB+uxOUFqYJ9wWEpUXwFZk+IPRN3/ptiQVValVz0fnDvv5Rw93ySo8T1kxipdtmrTHMa09W0GLHivZ/xz+vHCsbE2w/Xu9iZx+aO6LQNer6fnz8mnQ/yGpJoT246KF4Lm42FnJG5BOU5VrF3fj88JWjhnpEnX57u/LsK0sQTRQ9O0EImA/72yX7+HmgUDLQqOd9XLBrnmoj2+Dlxn0elXHyfgvPH5PqH0Rkx2HO6GW/stD+Hc7oTWDQuHZFhChysaXObnMPbaw4FnPvm69b/0Jmg3zV5KJe4P16rxtjMOBSkRaNR3wGlnIHBZA8u3LR8Cmpbu5KEOie1z4hT84GMXJKeq8Zlwmy1CdrEPcPCtCjc/OscHKpthY0Fyt/9CXfNyMOI1EiffHw4bSctGYvtx5tcxs9ivxN7353P2WQwibZjXFacxzXGuHBxu5eX0mXPZ+SnuNVyRmw4Ht5YgQVj0wW+IBzvlk3kE2gA7vcofd3XDwa0Xkb4Cwr4JARwHcOwW6fgVIMO9W1djsb2SZ+rkc5NisBfZ+Zh1VeH8JcZedh7phVH6nV8yXexQTM3maxrtTs90wIa4Y6ESBWGJGqxZlERrCygZGSICVdi9eZDWDp5iKgmq5ra+cFMXkoUmgwmPvNGdkIEalrsWY2aDCa3G6CkUcIbvHWwt9lYsCywunPR+r3d1WgymHDXjDxMz0vGoLhwbDlcj7zUKPFFAIX9M3cTbEYGZMSG464ZeXhlx3E8vrAIRpMFqdFheGXHCdHBfSAdAuj96Ts8aVDsGT93zWiwrN2BPSlSg+euGc0HKDlmLOKOyX3WZrTAauvKmKhVyRHuZtEqXCnH8XodlHJG9O8TB8ejvARus9MmR2n4hWPnSabzYpLjNcaGq7BoXDqGJtkrgdhsbI8WLom+wZ12M+OEuhVbSH1vdzVWlo7Ag58fdKiIOA5GsxX7z7bwi1mp0Rq0GS24dv0PvJ4fnDMSWfFhggxV7jZfnNvGyOBiJ73pB8RsIoc7jZJ2+xZ/ZNx1XmDyxjZz+n3umjHQG8043dSOtVuO4umrRvFZ4bgqtze/9ZPALj93zWjsq27xehHQW137KxmEmIZJ077jj02/npKfGuVSmfWhuSMxNjMWDfoObCibxC98n2zQ4f7PDmB5SS50HRZB1trlJbmIDVPx19BTjfkS2OqPIG5vPie8w5d+1RF32s6M0yI9Jhyx4SrsrmyE1Qas33FcoNcmgwm5yRF8hcWjdW1oN9sEgXSPzCtATmwMP2b0tt3d6ShQiXU86bC35xwIGnfWk9h8Q6NkEBsm9+t5GUaGmSNTERehwtmmdoSpFGgxdODW4lw8u/UoWBZ8ll7eZoarUNNi5Dcg1y0e16N+2t9a9OQIQPrr//i69uCuOopjVv+zzUbBmGHFtKEwWezeBkazPVmU2Dn9bV8d2zcoXry6j+M5BqJmnas7AJ0OPxHqILaKILrHk3ZHZ8bSejUhSby1uRSsQkgNGi8QoYqjf9SBs804dk7PV8pxntfYbCw2HagVzH2eXDQKcgZ8IlONUpi8yflcYmvmg+K1aO9czzKabVi/44RbXyuxIJJT58UdxcOUcn7dqyd79zarVTSxo68BKOOy4pAZZ//7mWajYP+vsqEd9W1G0d8NT4nCg58f7PG8z9M1D8R5na+IBRevuXIUZuSngGFk/LuTclhEA/wAAGd3SURBVEMhTIzaZSxis7E4cU7H3//UaOG6Qk2LEas3H0LZ1CF48PODgvdHpWTw2S9n8JcZw2EwWwXBO1xA9qObDuGZq0fzgX6MDBiTGYP2c238NTiOl+pajTBabPj7/+0X+JKJaW9QghbLinMA2BO4u0uO2Z0uHQPD+xpPazWHJRTw6euY1nltCZBh14kGGC02Ptje3bMRs593vG+vDDUhOx6bDtS6VArNTY4QVNF0xJv1MO47q0SCK9dcOQrjB8W5HFvMdrlLNugNYn3XytIRMFlYPmCOKzaQGKmGsqMVM/Jz+WeSEqVBVrwWlW4SsWtVim77IMfn50vArFQIVypgstoE65h/umwYwpTibvfdJUj0Rjue3g13v89PFQ9E681+sTfVP709F6fths51YecgPq5/cYfz+jRXqGDp5Gw8/80x3Dl9qEvVZm8rGIpdz/isODfzG42gfxsUr0WsVoXlJbkuNiQuPNg1lb3HlzV+g8nKJ3FIjdbglktyEKmR41ybyWVMvPVQLVYvLAJkQF5KFCzNZ3kdP3fNaByt07kE6RZl2NfsTjXoRausvr5kAoYlR/KBed5UrXW8PqDn+wzdvZtcwktHH80vbp2CczqjaPXt93ZX45F5BYKKkWuuHIXcJO+CATssNtgcxhtcoYUNN03CZ78cckmOwY2jfLnmUIJ7zodqxYtIyZku3wTumR2qbXM73h2coOUrOatsHRiVnYJTDXrctuFnlBamQSYDSgvTsPVQLSYMjsOm/TV8EHtylAZZ8WG4akKmS3KhVZsq8MoNE3y2owwjQ6Sl2SX5hbe2Xuw9z0mOwJOLRuGO9x2SuMwvRFZ8GL4/2eB27hhu07sNfnZsb5RGKarlcJUcC8amY1hyZLc+nID7PUp/7+sHAlovI/wFBXwSLjCMDEOSIsCyLG7pDAIBhM71jh3QY5sqcPX4TFw9PhOp0Rq8WzbR4yRcbDLpzcDdExRc1D+x2VgcONvmsvAgl8swMTvRbcap57Ye4x2FGAZ8gBIAxGoVKEhLwejMGLc6DYRGfblm0nLo4M2EV0xPj8wrwJjMGD6TlMFsnwzfNWOY6CIAYB/o2Vgb7pw+DKs3H3ZZaMyK1yIjNhxmqw1/dnAYLS/OxYkGvUtQXaAcAoL5/gxEPGnQ+RmnRGlwsKYNs579VvBd50UQAPyE1THbVbu5a9Hmlkty8OiXrjb43tIR+Pl0Mx758hBiw8UXtdJjNUiNTkN9m1GQ4dPxmgrSo11+68lhdMTyKfipqtllEYR0J13caXdwghaDE7S8bsOUCn7xnKPJYEJRejReXzIBBpMFmXH232w7Ui/IDjt/jGuGtJWf7sdL143FTf/6sdvNF092u7vr4I7nziYOUUt/0WEg4Y+Mu91V7nS2zcNunYIT53XoMNtwtK6ND1TWKBlBNlSxKrcr3vsZX9w6BTmJ9v7f2faJLeZ5o2uqDiE9fN30O1nbiMEpcX4Z0ykUDOYWpSE3KQK1LUakRGuQnxoNhYLBYKeNMW6x+2xzO373xm6BXp/ZchTrbxgHjZLx+G7441705LtE4PGlX3XE03yFYWSYnJOA9NgwfkzprpJwfZsRLUaroIK40WzDPR/vQ9nUbFTrIDpm7KmOgqE/0nz3iM2NholsiGltbd0fzEcUCgYXZSfgVIMe9W1G5F8QhczYcOQmReCqdbtcbCbnoMB9ppTLetRP95UuSH8DA1/WHjytL3HOFgBwXWdiHsCu9TX/PiLQv7Ozw2e/nHFJRuFvrZGe3cBCdH2HVlsIyeNBu7ReSEgWH2wuBasQkoLGC0QIw/lHWZrPYuSoNFw0JF50XnPyvHiwUNnUbMFnzsmbvDm/45yKcyYWG6+IBZGIOYqXF+ei/N09fPJpT4F73bXNua/xJQBl1YJCXJQdL6jywlWF4hzZ/7WrStTn58Vtx9BkMPmcnBPwn7+Co++ORhnlNnFcf6S7CnWAXR9h5laMcahKCLi//86JqFdMG4Y3d54UBJxt2F2FV26YgFdvnIAGXQcWv/KDy/vFrR0cONsCjUKOz345g7tm5CEzTovD54TX4ajhU+d1mDMqDTbWfq4Xth1z6bsemDMST24+hMqGdmiU9iSYecmRXq8ViF37Y3NHINcL7fjTVyyUkoP4OqZ1F6DBBds7+0VxeKoMJab3Z7YcxRe3TunR/oXjd6bnJSNCrcChmhY8vrAIVQ16FKbHCGwjRyB8rcSu7cHPD2L1wiIcqrOvhX/4o71gwRe3ToGpoUn0mZxvM7r4DK9aUIjIMLnLe+TYB7lreyitwSkVMjzx1WHBPXziq8N476ZJot/vLkGit++npyS17gLu++q993Vv2lHbXIU9XwMz3Y0z1vz7sP04FpvoO+5NBUOxe+cuycXJBp1LUYXi3EScOK/n/ZMZGZAWG4ahSZG+3Nag4ot+OI3HhquweFIW3zc//fU+lz77hevGYnB8OL8fXNFg5c83OD6Cv5fcbxy14M5uf3vsPF7+9oRP9tE5YcCQhHD85eOe7TN0926K3cMhSfZAd2fb0GQwYUxmDDZ2JqcIV8lhsnYFJorZSLG+ggvk5KulR6qxsnQEzja1o2xqNhSMvajXY5sq+O9I1eb2Bu4ZpMWEufgZapQMSoYnCZLqdDfedXzWFRUVYJg0l8DerPgw3HJJLq5b/z3/PB6aOxJXFFyAB+cUoOzN3S7vxdLJ2TinM/bIZosl5fHW1rvTKADkpdo/S4zQoLpZjw9/OsNXtS5Ij0bxsGTBObxtR3KUWnSt6Fh9Gx/jcd/sfLz4n2P8+FtMm+7GDYHY1/c7tF5G+AkK+CTcck7XIej0alqMaDOaBYst3EAhPTYcAIv8C+wOoJ7wZmHIFyi4qP/ibuFhw+8n8Rn/nDNORarl+POMYbggWoOkSA0yYsORmxQpOpD25by90ai3kJZDD28mvGJ6uufjfdhY3rU4yE2G9SYrPvyxWqDpN3ZWYtG4dJQX5+L+zw7i2gmZWHZJDpIi1UiJtms8q/OcYtmN1m49ig1lk0SzgAbCISBY789ApTsNOmfJE3s2G8unYFJ2guC4YtmuHDOYyWTiNlirkuOuj+yLvDUtRryx015dOS06DGda2pGbHIGMWK3AyVPsmoqHJSMnMQJjMmMFAX3uHEZtLPiNTMdrI91Jl+60y2nQZmNFJ+0jUqNd9JAVJ6zGIpO5Vgc1mm2wsaxLULPz5osvDsuevuvOJr59Q6H/bibhF5z7xIrzVp9+77jA5Fh5VimXiWaPHpIUgcEJWpeMsWuuHCXQsjsdn9MZMSk7AZlxWozKiOm1Vr39DtG3+Lrp13H+NLITM/12foWCQVFGLIoyum9ndmIEjp/TierV0GHl3483d9nHBkOTI5GXEuW2fxc7R09tsycnKSLw9CYo2dN8Rexv7qoPilUMt48J4HbM2FObGAxbSvbbO5w1kxmndblnhw8398m5AYhm8+X6fg6NkkFylG+OII7n7AtdkP4GBr6sPXiDO2cNR/07Ojs4OtqIBff31XUOVGpa7es7zuuVmXHhwW4aQXiEtEuEIqRbIlQh7RL9AZvV6nFeU9mod7u+5PwZl7zJW8ScicUQCyLh5k4bOgMprbYuP64V7/2MDWWT/Lp33xMnd8fvFKTF4EyzUVDxznHNeHhyJBRyGYYkanuUnBPwj7+CuO8OM2B8d7qrUOcJd/f/i1unuMzxlXJGNDkww8g8rh1olAysNnj0hXEmM07rUhGpPDmCr7wVppSj/N09fIUho9mGv32yH2MyY71eKxC79rs/OYjCzHiP9y0QvmKB8AWSCmL3uTsteKoM5U5r53RGj76F3tzjqiaDINiDO+9GEXsUCF8rd9d2xCHQgisyMDhBi8MNrsfIjNMiPU6LVZsqsHRyNuQMMC4rjg9azYrTYmxmLHYcP+/SB7lreyitwZ1vM4newwadSfT73ibz7c376S7gvi/fe1/2ph217c73obv+xV1QJtePAD2v2uh4PZ6SXDAyYMYz37q8ox/cfCGa9UI9NOtNONva7nNV3mDirX4cqyhyCTvcPVeNgnF7D+rbPI813Nltlu2ZfXS8vkhTg0efsZ7i6R6K2YbH5o5AZpzdNhyqbcOS1/7H/82xOqhjG8V8P7kgwvU77IGwmXFaWG0QBNSmRmuwaFw6RmfEICteK1mb21vs8w3xisfOY4SejHedbZGCYfhgT+73f/tkP3KTIqCUy0SPL2dgtyk9tNm9sfXufuuYIOXg2TZBVevlJbnISYxweZe9aUdmnBa5yRGCgHitSo4X/nMCgP1+3P/ZAWz4/SS0W6we/aHExg2B2tf3J7ReRvgLCvgk3CI2aGo3CasiAJzzkRpjMmK7DfYEercwJAYFF/Vf3GnFYLbygUc1LUY+87tGyeDxhUWoazEgJUrDV57xdYDjb416C2k5NOlu8OqNnrhJ3eHaVjQZTLymAbuuc5Ii8ehGe5ad3ORIhKnkogNcd+dqN1v7bJIWrPdnIOPtRK43z4ZhZLgwOx6rFhTirg/3AoCoDX5iYZFLsoi1W47hpevGYPxg35z7ByW4ThYDcW1E8PBGu74s9g9OEC6QyWXii7rhKoVX5/V2/ODpu56yhRL9i55sTHnKoMZpGfC8OeEvrfryHaJvCaVnEh2mFNVrTLgSY7Pier1x21O9e3KSIvqGQAUle4Nz4hIOx01Bd2PGYGy09JRQshVSIdj3zN1mNWcauWq4vXEE6atrDPa9JPoGfz5nb/XPZf7uLrjfn5CeXYmLUImuV8ZpVUFsFUF0D2mXCEVIt0SoQtolBgJalcLjPMbxMy55k79xF0SSGafF9ycbsHbLMcH3uQS9fbWH6tO+X0okGvUd2FA2CQaT1SVxJrdH7GtyTsA/+8YD3Xenuwp1nvAUPDcpO8FjMI2jBjytHXCVrHzxhfG0jzckKQI7j5/ngz0d283pJpD+GANdb77SE78oT5WhYmKjexUo1pO2imkiED4v7t4jq63r+F5XM01xLbYB2O015xfkS9tDZQ1Oqxbv/8NV4m73oRTM2lc4a7un75unoMzq883I7fRncxdo6yvO59t5/Ly474/BjEe+PORyTcNSokIq4NNbOI2LPUfXmAL3z7W7sYaY3eb6f6B39rG7RC+BQMw2cIlNxII4l729R7SAh7u+ojAtChvLp/D2xjmglrPT75ZNlLzd7S3e2uGejncdbcOm/TWiz6O208db7PjjsuIkW121rrWDL1gAdI0TxmTG9sieMYy96Et2QgTq24yQQYbbNtiLKHAYzTa0W6wuWhc7ViiMG5yh9TLCX3QfnUf0S2w2FifO6bDz+HmcOKeDzTntHLoGTRqlXSYaJYO4cBVuv3So4LP7ZucjKVLtVbAn0NVROtKbibKnCS8RWjjrMilSXCvJURpcmB2PR+cVCLS4snQE3vjuBL8g3FP8rVFvIS2HNu7sqjd64iYa80an4REnXZcX5+Ll7ccxf0w6yktyEKdVY8IgewZAdxMRT+cKNFJoAyGOO5vq7bNRKBjMLrwAG8un4NdDE7BqQaGLVs80G0TPkZsciUHxWpxq0Hsce/QU0l3/wJ0d5Sbt3CZgd5sNG8un4N2yiZg2IhkrpgnHrctLcpEcpfbqvP7AnTZjw+R+OwchHZy1CqBbbYnpm9PyhrJJiFLLsbJ0hEDHqxYUii4ABlLLxMCjJ3pKilS72N0V04YiMVLdo/eDIDzhrUYdE5c4j10/+qnapzEj2VmiO3zRiNi66+2XDkWYUo5lxTkom5qNMZndVycgXRJSR0yjPdU/6T04qBgZ7pud77InpJIPXEc1IjQg7RKhCOmWCFVIu0R/hpuHKBgZlpfkuqx9jkiNEnzW2+ACTzjvg20sn8JXAHS3H5UaLfw8NVqD8pIcGEzWoM2ruLXicYPiUZQRiwuHeN7/8xV/7BsPdN8dsXm7N9q22ViEdwZHO+Lu/nvaAxZrw8rSEQhTyvkKgj31B2BFZO8P3fT0GANdb77Sk/vsaD/f+f1EbCibhMRIFQyMFpmx4T3Su7/bGgifF7H3iNsb4eACsj3h6V21v/dylJfkYFlxDlKjNX5pu1RIjlK79P9iPieOeOvfMlBw1PaHP1ajvDjXb+8bd68T0cb7szmPkTh6u7bs7h01mq3iBW1Mlh5dUyjAMDIMitf26rl2N9ZwtNuv3jgOZVOz+f6f+35f25jeasjZNtis9sQmvowD3OkwNzmStzf93S57gzd2uKfjXUdSo8NEn0dKtEb0+KsWFPIVsqWI3mRxa88c9W9URnmtf8dnkRipRpNBWBHZnS77y34grZcR/oIqfA5AbDYWmw7UumQtch7kcoOmYbdOQUVtK47UteHF7SegUsiw5spROHFOh7zUKISpZEiPCcep8zrUtXZAb7IgK06LwQldWRFsNhanGvSoa7VnTHjumtF8yfDeDtx7k1mMkA5iunzumtGiGba4jBuzRqYiJlyJPaebYbUB67Yfx82/ykFChAqMzH5MXwdHNhsLlgVWLyzC0fo2vLe7Gk0Gk6hGHXXtnHGwJ5CWQxdPdtVdpjhnPXEVDTPjtBiVEYO6ViPMVhZrtxzGjJGpWLvVnj1l3fYTojYbcJ+VjjuXvzUrhrfXS/QtNhuLkw06LC/J5TPxePNsxDTDZcsZY2NRkBbNa3Xlp/tgsrCi58iMDfdq7NFTSHehhZiuAPhFI44ZnWw2FrWtRpRNzYaNBRgZkJtst7OObQmGNrW2tl4fm+hbfO1De6sthpGhIC0GZ5qNWLWpAksnZ0POAOOy4kQXAAOtZSI06enYr6d6yozTIjtRK7C72Ylagd3tzfGJ0IeRy3HinK7X8xFfNcQlLhl5QTS/vvXmrkq3c31/nJPof3RnU33ViGOGWcc5VWVDe9c8Kq57JzrSJSEVfJ3n+ap/0nvwiAtXITqsA6sXFkFvskCrUoBh7J8ThJQh7RKhCOmWCFVIu0R/xXEeEhuuwh9+le2y9vnr3CRs7MMqXu4qm7jbj8pPjeY/jw1X4foLs1z2cXsyr+rJ2nNf+CoAvds35trIyGQD2nenJxXquPdl1aYKlBfn8v4tvgSLOuvDsQ2JERqcbNDhwc8P9sgfoLt1BX/4G4gd46E5+W7910hvPaOnz4p7zodq27Dktf85/JbB9Lxkn2y5t/bMsa2x4SosGpeOoUmRYFlXTfhyXd6e3/ldDlPKUf7uHkFlrd5oTey9Ki/OxYbdVbhrRl6/8NdJjwlHemyYoP9Pjw1Dekx4sJvmQl/1s77iqO2aFiM27K7CusXjoJTL/NpOT9Xf/LG27O4dze4MfHS24d3t74Q6vX2u3ow1uGc6KF6LdrONDxTjAuca9B18WwKtdTENrVpQiFkjU70ulOV4rFMNepw1a6F2KIrkzTjAG9/g/m6X/YU/KjLnp0bhobkj8bdP9neN/eaOhIKRYfPBWmTGheHzZZNxXt/h97liIGx+Vpy4PcsQ9ftlfJ5HejvW6U/7gbReRvgLCvgcgJxq0LuUAF/x3s8YXj7FZcDLMDIMSYrA4AQtMmLDAABWG/Dg5wf5bFmfL5uMbUfrcbROJ7owCIg7dmxaPgW1rb1f9KQgj/6BmC6Xvb0Hm5ZPcbuoUt3Sjj+89ZNggHH/Zwew7JIc3PrOHp87ebGBwiPzCjAmMwaZcb1z5PMG0nLo0p1d9WVy4BysFB2mwFXrdnlts92dq68Gwv6YDBH+51SDHsve3oPYcBWWTs6GTGZfiByRGun22XSnGWetPjVvGEyMGilRGkwfkYJzuq7n78vYoyeQ7kIHd7oalhzpd40wjAzFw5IRp7TCxKhFdREsbR4+3NzrYxN9R0/6UH9oi9dPSiRO1jZicEqcW9sWaC0ToUdvxn491RNnd7MTIjxqlvQ6MLHZWFS0qXH3m9/2ej7SEw05rm+NSI3CRUPiobJ1YFS2d+cn3Q5svLGpPdWl45zq1RsndNvnO0K6JKRCT+d5YmsK7ubzpPfg0Wq0YNWmQygtTINMZq+E8vneM1h71ehgN40gPELaJUIR0i0RqpB2if6K4zykpsWIF/5zAovGpWNsZgyy4rX83MVdcEFf4mmvlPv8XFsHbnj1h17Pq3qy9tyXTrs93Td2DvD1NZFyf8NXbTu+L2/uquQTmZYMT0JBWkyPk6g6tmFwgrbHAdbdrSv4w99ArLDGk/8+yicedNQ76a3n9OZZudPBRoe1qu7wxZ5xbR2xfAp+qmrGPR/vc/sbb6+rJ4kHHdfg7pqR5ze/RLH7uXbrUWwom9Ttex8qVDUZsHrzYX6ca7UBqzcfRv4F0UHv+x2RcnCMFPy5/Oq74XQdFosND8wZiXs/7Qr4emDOSGTEhAXykoKOv/pNb2yvNwlUA611MQ3d9eFexIarMDknoVf+6Z6KIjnT3X0fCHbZn/R2LqdQMJhblIbcpAjUthiREq1BVaMBC17cKQgAnVuU5nNgsCcCZfMHJ4jHLyjkMr/sz3lrN/rTfiCtlxH+ggI+ByCeSoB7ckAymKxYu+WYy+9ONxmwt7oF67afcDGw8UsmQKNk3E6WJ2Un9Pp6pDApIHqPO13Wthr50ure/sZosfWokxcbKNzz8T5sLJ/SJ4MK0nLo0p1d7enkgLO9vthsd+fqy4GwVDa2iC44jda0GPH8N119+UVD4jEoQfw5+ZogIszcijF5efxnQ5K6vtOTsYevkO5CA3e6+se1YwKiETFtOkLaJLyhJ32ov7TF6afj/GlkJ2a6/V5faJkILXoz9uuNnrzRLOl1YHKqQY+7Pznol/mIPzSanRiBiooKMExawM9JhD7e2NTeasTbPt8R0iUhFXo7z+tu3gaQ3oNJdXM7KhvaBetJ3OdFmbFBahVBdA9plwhFSLdEqELaJforzvOQmhYj1m45hnfLJkpyHuJuP4r73F/zqp6sPTv+JjVag/lj0nGothVpMWEoSIsOSNCnr3tzzgG+b+ysRNnUbIzOiEG0wuJ14riBiqO+HH0SLhoS77ekZr3Zc/VG//7Y02UYGWQy4M73fxGcz/l63OmtIC0aURolkqPUPW7DQKCnz8ofdtBXG8gwMthY8MGenn7jzXX11vdrRGokXl8yAQaTBZlxWgxO6Llforv72W629ht7WddqFB3nSm1NUurBMcH2mfG374bjbyrqWvH8N0f54gssCzz/zVEMS45AUUb/ngv15XPlzgUAM9d+GxCte6qY6E5DuysbkR4b1qs+pLuiSM54uu8DwS5LDYWCQVFGLIoygF9ON+FPH+wVPN+/fbIfuUm9twc2G4t2ZRR2Hj+PcJU8IDbfXfzC9ycb/LY/543d6E/7gbReRvgL/4WMEyFDcpS9BLgj7kqAe/M7rUqBcJVc1MB+e+w8thyqd2t8/QXXCXCBgTQ4CT16okt3v2FZ+/876sxmY3HinA47j5/HiXM62Gysy/E8DRR6811fIC2HJj21q315bEfNpkZrcMslOfjdlGyc03WIvg9E/6InOvKnneutjr2x4URo4E5XWrUiYHbUE75qk7Q4MOmJPQzk2EAK5yOkT2/68UDrifQ6MJHS2LInkG4HNt7ol3RJDGT6Yp5Heg8ecVqV6L2P06qC1CKC8A7SLhGKkG6JUIW0S/RX+ts8JJh+B9xvUqM1WDwpC+t3nMDaLcdw1bqd2HSgVhL7be4CfMNUcoSZW8l3pxt6o69A+V/5q33OdLdf7M31uNPbvjMtuGrdLsx45lvJvBv9CX/ooLvnK6YPf2q8p8fiqoHNeOZbXLVuF/7w1k84XNfm8/kd6W/9pBihco19YUdDmUA+x5qWrqDg57Yew/PfHENlQztqWujeB4JAaZ2zkTPXfovf/PN7zFwr7Ifdachqg0/n9lQUqTc+41zfw8hkIWGz+is1LW6eby/tAafPa17fi9/88/uAxuSIxS8EwoZ6Gk+HSt/rDbReRvgLCvgcgAyKt5dd5oyIpxLg3f2uvDgXf/rwF0RplMiKF5ah5wLvbCz6jfElAkdPdOlOkx/9VM3/OylS0+2AnMOXgUJ/GlQQvaendtXbYz82d0Svj81p1nET5bmtx3DDKz/QQvEAoCca9aed68074q0NJ0IDd7pKjlQHzI56whdtkhYHLj2xh4EcG0jhfIT06U0/Hmg9kV4HJlIZW/YU0u3Axhv9ki6JgUxfzPNI78EjUq3AfbPzBff+vtn5iFArgtwygvAMaZcIRUi3RKhC2iX6K/1tHuKv6+mJ3wH3m/lj0rF261GXajSnGvS9v8BeQj5AvaM3+uqLe+8v/XuzX+zN9XgKHAGk9W70J/yhA0/P150+kiL9p/Gevi/uKkD2RmP9rZ8UI1SukfowzwTyOSZFqkXvfWIkVWoOBIHSenc2clC8FqsWFLr4qX++94xP5w5U4BzX99y24WcsL8mVvM3qr6RGh4k+35Ro/+qzr2Ny/G1DuxtPh0rf6w20Xkb4C1LMAMRd2eXuskJwv0srm4Qth+phtQFv7qpETYsRD3x+EE9dOQq3d3Yq3IDmzV2VAIDy4lx+0S6UjS8ROHqiS8ffnKxtglKtwcpP96GmxSjQmbsBuXMJc26gsMJBx+606st3if5PT+2qt8fOi+zAxl4em9PsodpW0U0U5/eB6F/0RKP+tHO9eUe8teFEaOBOV5lxWmTGaQNiRz3hizZJiwOXntjDQI4NpHA+Qvr0ph8PtJ5IrwMTLpHN3Z8cDOrYsqeQbgc23thU0iUxkOmLeR7pPXiYrDbIZSxWLyyC3mSBVqWAwWSG2Wrr/scEEURIu0QoQrolQhXSLtFf6W/zEH9dT0/8Dhx/464aTbD32jyt/xw+H9SmhQS90Vdf+F/5S//e7Bd7cz1i33H0s+SOLYV3oz/hrAOVrQOjslN80oGn5+tOH5uWT/Gbxnv6vniqitdTjfW3flIMoW9qIwanxEnyGsmP1TOB1uryklw8s6XLN355SS5V4goQgdJ6dzaSYWSYNTIVseEq7K5shNUGbNhdhbtm5Pl07kC037HvqWkx4o2dlSibmo3RGTHIitdK0mb1V/JTo/DQ3JH42yf7+ef70NyRyE+N7tVxnfX54Y/VfRqT44/xkyPdjaf70/iC1ssIf0EBnwMUruyyrxM2hpHBYLJi7ZZjgs+5TuP1JRPQajRj35kWPhgUsA9uNpRNQrvZGtLGlwgsPdEl95uO86cxLCcdr944waWT93bRwpeBQn8aVBD+oad21RtsVmuvj81pVqNkJLuJQgQWXzXqbzvX03ckEAvPRPDoTleBsqPdtcmb85IWBy69SZjTl5ru6/MR0qa3/Xig9UR6HXj4K5GN4/H6WkOk24GLtzaVdEkMVPpqnkd6Dw7N7WY89fUxzB+TDpkMYFngo5+q8ci8kcFuGkF4hLRLhCKkWyJUIe0S/Zn+Ng/xx/X0xO+ALzAQE4Z1208IfieVCmTkA9R7euOL2Bf33h/692a/2JsAMedrDlPKUf7uHt7PEpDOu9HfcNRBRUUFGCbN59+706s7fdS2Gv2m8Z6+L1xVOX/b3/7WT4rh6JuanZgZ7OaIQn1Y9wRKq83tZryxsxJLJ2fzc6E3dlZieEqkX89D2AmU1r2xkQoFg8k5CUiPDUN9mxELxqT5fO5ABJE79z01LUas3XIM75ZN7Ne2WYooFAzmFqUhNykCtS1GpERrkJ8aDYWidyHgzvqsaTH2eUxOb8dPjng7nu4P4wtaLyP8BQV8Ej7jbnCTFa9FdmIEbDYWZiuLJoOJ/9tdM/JQkBZDkwgioLjr5H1ZtPBloNBfBhXEwIFhZBgUrw3IIh7RP5GCnQvUwjMRPKSgq55AWhzYhKpuiYEN6ZaQGv5IZEMQwYJsKkF4ht6R/ktWnBZNBhOe/6YrCahGySAzjioEENKGtEuEIqRbIlQh7RLEwKMnfgcMI0NBWrSkK5DR3DZ4hMq993a/2JsAMcdrttlY3DUjT7LvBiGkJ/6J/tR4T45FFSD7P6FiR/sbNBfqewKhdW9tpL+Sp/gziJx82aSFQsGgKCMWRRn+O6aYPkM5JmcgaZb6CMJfUOVwwme4zkOjtMvHeXDDZaHYWD4F75ZNxMbyKZiR3/PyzQTRW7rTLEEMJOh9IEIN0iwhFUiLBEEQBEEQBEEQxEBjcIL4XHhwAs2FCWlD2iVCEdItEaqQdgliYNKTfTPyJyNCnUDtF9O70T+Qsj8BaYwgAgPNhfoHoWwjpdz3EP6B0+fbNxSGnD7FGEiapT6C8BdU4ZPwGW/KilPGGEJKOGq2vs3YJyXMCUKq0PtAhBqkWUIqkBYJgiAIgiAIgiCIgYY3+0EEIUVIu0QoQrolQhXSLkEMTHq6b0b+ZEQoE8j9Yno3Qh+p+xOQxgjC/9BcqP8QqjZS6n0P4R8YRoYwcyvG5OUFuym9ZiBplvoIwl9QwCfRI/xdVpwgAk2oDsgJIhDQ+0CEGqRZQiqQFgmCIAiCIAiCIIiBBu0HEaEKaZcIRUi3RKhC2iWIgQntmxEDEdI94QnSB0EMPGguRAQb6nuIUGMgaZb6CMIfMMFuABGa2GwsTpzT4axZixPndLDZ2GA3iRjA2Gws2pVR2Hn8POmR6HeQvolQgHRKSB1u7EoaJUId0jIRapBmCalDGiWkCOmSGIgwcjnpXsLQfhARqpB2iVCEdEuEKqRdgiD6I2TbCFqnI0IB0ilBBBcaLxBSgvoEItTo75qlPoLwB1Thk/AZm43FpgO1WPHezzCabdAoGay5chRm5KdQmWGiz+nS417SI9HvIH0ToQDplJA6jFxOY1eiX0DzMCLUIM0SUofGCIQUIV0SAxGbjUVFmxp3v/kt6V6C0JiOCFVIu0QoQrolQhXSLkEQ/RGybQRpgAgFSKcEEVzoHSSkBOmRCDX6u2b7+/URfQdV+CR85lSDnjc+AGA027DivZ9xqkEf5JYRAxHSI9GfIX0ToQDplJA6ekZLGiX6BWRviVCDNEtIHRojEFKEdEkMRE416HH3JwdJ9xKFxnREqELaJUIR0i0RqpB2CYLoj5BtI0gDRChAOiWI4ELvICElSI9EqNHfNdvfr4/oOyjgk/CZulYjb3w4jGYb6tuMQWoRMZAhPRL9GdI3EQqQTgmp02SwkkaJfgHZWyLUIM0SUofGCIQUIV0SAxEaM0gbej5EqELaJUIR0i0RqpB2CYLoj5BtI0gDRChAOiWI4ELvICElSI9EqNHfNdvfr4/oOyjgk/CZ5CgNNEqhdDRKBkmRmiC1iBjIkB6J/ow7fYcp5bDZ2CC1iiCEeNLpzuPnceKcjvRKBJV4rYLGCkTIw8jlCFeRlonQIimS5mqEtKExAiFFSJfEQITGDNKG1t+JUIW0S4QipFsiVCHtEgThb2w2FifO6XDWrA3aXjPZNsKdBhIjSAOEdAiWreLsNPkEEX2N1LRH4wXCHcHQKumREENqdtOR/q7Z/n59RN9BAZ+Ez2TGhuOhuSN5I6RRMnho7khkxoYHuWXEQIT0SPRnBsVrsebKUQJ9lxfnovzdPdh0oFZSg29i4CKm04fmjkT5u3vwm39+j5lrvyW9EkHDZmNRo7NieUmuQKNrrhyFQfHaILeOILzDZmNR0aZG+bs/obyYtEyEBoxcjpMNOrK/hGShMQIhRUiXxEDEZmNpzCBxaP2dCFVIu0QoQrolQhXSLkEQ/sRmY7HpQC1mrv0WS9/eF7S9ZrE9cJqrDizENLC8JBcnG6TlKE8MbIJhqxztNPkEEX2JO+0xcnnQ2kTjBUKMYNlJ0iPhjNT77P6uWVovI/yFItgNIEKPqiYDnt16FEsnZ0MmA1gWeHbrUYzJjEV2YkSwm0cMMEiPRH+GYWSYkZ+CxCVj8e3xJlhtwJu7KlHTYsSK937G8PIppHMi6HA6TbmhECZGjTClHOXv7kFlQzsAwGi2kV6JoHGqQY/bP9iP2HAVP1ZgZMCI1EgwjCzYzSMIrzjVoMfdnxyE0WzDm7sqsXRyNuQMUDI8CQVpMaRlQpLoGS2WvbmH7C8hWWiMQEgR0iUxEDnVoMeyt2nMIGVo/Z0IVUi7RChCuiVCFdIuQRD+5FSDHive+xlGsw1A8PaauT3w4eVTcLK2EYNT4jAoXktz1QEEw8gwIjUSZVOzYWPt/dsbOyvRZDBhI/k+EBLB0VbVtxmRFKkJuK2Sip0mBh7utPf2DYVBaxONFwgxgmUng9EnENJG6n12f9csrZcR/iIoAZ/Nzc24/fbbcebMGaSlpeHpp59GdHS0y/c+/vhjvPDCCwCAP/zhD5g3bx7a29uxfPlyVFVVQS6X45JLLsGdd97Z15cwoKlrNaKyoR3Pf3NM8Hl9m9GtAbLZWJxq0KOu1YjkqP5lkAcCUn5+PdEjETwctaRRRsFmYyWjJanCMDK06oxYu0WocaPZRjonJAPDyBBmbsWYvDzsPH6eD/bkIL0SwaKu1Qij2YaaFqNgrHDRkHgMSiA9EqEBp2MAAi1fNCSexlGEZGkyWMn+EpKGxgiEFCFdEgMR0r30qWs1wmTpyvYskwEmC0vrPITkIe0SoQjplghVSLsEQfQEd35IjnsiHMHaa2YYGbITI9Bx/jSyEzP79NxSZaD5/NS0uPrqAOSTRvif3vhmcraqrzQpJTtN+IaUfYC9wZ32mtqtQWqRHRovdBHqGvMXwbSTfd0n9HdsNhbtyijsPH4+JDUdCn12f9YsrZcR/iIoAZ/r1q3DhRdeiLKyMqxbtw7r1q3Dn/70J8F3mpub8dxzz+HDDz+ETCbD/PnzUVxcDJVKhd/+9reYNGkSTCYTbrzxRvznP//Br371q2BcyoAkOUoDjZIRdAIaJYOkSI3o97mS0FyWAK7k8oz8lJDq+AYqUn9+vuqRCB7iWmIkoyUpExcuJ50TIQPZZUJKkB6J/gDpmAhFaPxKSB2yrYQUIV0SAxHSvfRJjdbg+guz8MyWo/ya7vKSXKRE0TMipA1plwhFSLdEqELaJQjCVzz5IdE8UboMRJ8f0iPRFzByuaR9M52h9yI0kboPsDe4015smDyIrSI4+oPG/AXZyf5Bl6b3hqymSYvBhdbLCH/BBOOkW7Zswdy5cwEAc+fOxddff+3ynR07duDiiy9GTEwMoqOjcfHFF+Pbb79FWFgYJk2aBABQqVQYMWIE6urq+rL5A55B8VqsuXIUNEq7fLhObFC8VvT77kpCn2rQ91mbiZ4j9efnqx6J4CF1LUmZcJuedE6EDGSXCSkxKF6Lx+aOID0SIQ3pmAhFaPxKSB2yrYQUIV0SAxFaQ5A+Vhv4zWjAvqb7zJajsNq6+SFBBBnSLhGKkG6JUIW0SxCEr3jyHaF5onQZiD4/pEeiL9Az2pB6t+i9CE36gw13pz2tLXSuoT/THzTmL8hO9g/6g6ZJi8GF1ssIfyFjWZbt/mv+Zdy4cdi9ezcAgGVZjB8/nv83x/r169HR0YE//vGPAIDnn38eGo0GS5cu5b/T2tqKefPm4bXXXkNGRka35/3555+hVqv9eCVdGI1GaDTBibgOxrkZuRx6RosGvRnxWiW0Nj1sVqvod8+atVj69j6Xz9dfW4ALFD3r+KR0v/Py8gJ6vt7qtrf3KhDPz98wcjnaWA1aTEBsmNyjHkMdf2k/0LoFXLUbCloKpm3xhNFoRLhWCz2jRVO7VTI6D8b9CoZ2g4lUNSmGY1u5cYKU9OpIf9Qu6dY9ZosFlrA4SelRavfIXXv60uaGyj0JFlLTsdTuT1/P0QBpaldqbZHK+FVq98VTW/r7eEFKzwIg29od3ranP83RpPAMgq1LKdyDvmpDKNtcKTwnf9Kf13YD8az6WrtSXNOVyjtA7fC+HbQf4YpUnhuH1NoDSKNNZHMDixSecaDpj3sRgPS1KwVtBbsNwT5/T9oQ7PUFKdyzgdSO7uyGLz5pfUEwx7pS2ouQmr13JlD3qDe+D1J4bo5w7SGbK612VHeE4ffvHnD5vK/fLV/uRyB9gqS2vsAhFb0APWtLf/HhFtOeQa+XxLORwnhBjL56Tt1pTCrvUF+1ozs7GQr3Y6CPF6Q29u3p/fB3nx3s5+JNO4KtXQ6paYhDKs+Qg9rThTvtKgJ1whtvvBHnz593+fy2224T/Fsmk0Em8720scViwYoVK7B48WKvgj0BQK1WB+wlrqio6BMDIclz5wzy+B31OZ1oSejBKXHITszs+XkHyP3urW57295APL9AUFFRgXEFwdFEXxJM7fuKs3ZDQUtSvb8VFRUYNnRosJvhglTvV28J5HjBV0LpHlNbgwvp1j0VFRUozEkLdjMESPEeBas9nHbpnnhGajqW4v3p6/ZIUbtSa4tUxq9Suy/BbEuwxwvBvn5nyLZ6Rkrt6SvtSuGag61LqdyDYLfBH/TXvYhA0V/XdkPxWYXCmq5U7iu1Q1rtCAXtOhLs++WM1NoDSLNN/ibUdOtvBsIz7q/XKHXtSuG+B7sNwT6/VNrgjKd5mlTaO1Da4a3d8MYnrS+gfbTOtkjM3jsjhXvkjNTa1JftIZvrPcZjZyTxbknlfgS7He60G+x2OdKTtvQ3H25qhxAp2NzuNEbPidohhhS06w6pjX2DfT+oHUK82QeWmoY4gn3vnKH2dA8TqAO/9tpr+Pzzz13+u/TSSxEfH4/6+noAQH19PeLi4lx+n5ycjNraWv7fdXV1SE5O5v+9cuVKDBo0CDfeeGOgLoHwE1QSOrSh50f4C9ISQRAEQRAEQRAEQRAEQRBE6EBrukSoQtolQhHSLRGqkHYJgvAVshuhCT03gggM4TY9vVtEwCEbTgQa0hjR3yBNE72FNET4i4BV+PREcXExPvnkE5SVleGTTz5BSUmJy3cmT56MNWvWoKWlBQCwY8cOrFixAgDw1FNPQafT4eGHH+7TdhM9g2FkmJGfguHlU1DfZkRSpAaD4rVgGN8ruxJ9Dz0/wl84a0ll68Co7BTSEkEQBEEQBEEQBEEQBEEQhARxXNM9WduIwSlxtD9AhASkXSIUId0SoQpplyAIXyE/pNCEfH4IIjDYrFayiUTAob6XCDSkMaK/wWk65YZCmBg1aZrwGVovI/xFUAI+y8rKcNttt+GDDz7ABRdcgKeffhoAsG/fPrz77rt4+OGHERMTgz/+8Y9YuHAhAOCWW25BTEwMamtr8eKLLyI7Oxvz5s0DAFx33XVYtGhRMC6F8BKGkSE7MQLZiRHBbgrRA+j5Ef7CUUsVFRVgmLRgN4kgCIIgCIIgCIIgCIIgCIJwA7em23H+NLITM4PdHILwGtIuEYqQbolQhbRLEISvkB9SaEI+PwQRGMgmEn0B6YwINKQxor/BMDKEmVsxJi8v2E0hQhRaLyP8QVACPmNjY/H666+7fF5QUICCggL+3wsXLuQDPjlSUlJw+PDhgLeRIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiir5CxLMsGuxF9xc8//wy1Wh3sZhD9DIVCgdzc3IAdn3RLBIJA6xYg7RKBgbRLhCo0XiBCEbK5RKhC2iVCFRovEKEI2VwiVCGbS4QqpF0iFKHxAhGqkM0lQhGyuUSoQtolQhUaLxChCNlcIlQh7RKhCo0XiFCEbC4RqpB2iVDFnXYHVMAnQRAEQRAEQRAEQRAEQRAEQRAEQRAEQRAEQRAEQRAEQRAEQRAEQRAEQRCEFGGC3QCCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIIiBDgV8EgRBEARBEARBEARBEARBEARBEARBEARBEARBEARBEARBEARBEARBEARBBBkK+CQIgiAIgiAIgiAIgiAIgiAIgiAIgiAIgiAIgiAIgiAIgiAIgiAIgiAIgggyFPBJEARBEARBEARBEARBEARBEARBEARBEARBEARBEARBEARBEARBEARBEAQRZCjgkyAIgiAIgiAIgiAIgiAIgiAIgiAIgiAIgiAIgiAIgiAIgiAIgiAIgiAIIshQwCdBEARBEARBEARBEARBEARBEARBEARBEARBEARBEARBEARBEARBEARBEESQoYDPbmhubsaSJUswffp0LFmyBC0tLaLf+/jjjzF9+nRMnz4dH3/8Mf/54sWLcdlll2HOnDmYM2cOGhoaAAAmkwm33XYbpk2bhkWLFqG6utqv525vb0dZWRlmzJiBWbNmYfXq1fz3P/roI0yaNIlv0/vvvw8A2L59Oy677DJMmzYN69atczmPpza/9NJLmDZtGi677DJ8++23/OfdHdPb77k793//+1/Mnz8fs2fPxvz587Fz585u770/zltdXY3CwkL+2Pfeey//m/3792P27NmYNm0aHnroIbAs6/a6/UWgdCoFAqFLqRIIPQab3mqT4+abb0ZpaWnQ2+TJtvYUKWo8EDaZcI/UNCmGFHXq77aSfn1DKrqVmjalqL/e3CMAOHv2LEaPHo3169f3ui1SGxeQjv3bnkDpWAoalpJ2paBbKWlWSnqVglalAGnUf+3pz3Y1mARLo1LQpRS0OND15wv9ab1XCvr3N/1xHdcT3u7z+Iu//OUvuPDCCwVjZ3fvBMuyeOihhzBt2jTMnj0bBw4c8EsbampqsHjxYsycOROzZs3C66+/HpR2dHR0YOHChbjiiiswa9YsrF27FgBw+vRpLFq0CNOmTcNtt90Gk8kEwLu9x95gtVoxd+5c3HTTTUFth7f0tXaLi4sxe/ZszJkzB/PnzwfQM810N7f0hL/eH3dt6MkeqFibnn32WUyZMoW3h//5z3/4v/m65+xOh6FMX2s3UPjrnZASgX7HQpm+0i2NE+xIZYwQamMDR7788kvMmjULw4cPx759+9x+L9Da9nbul5eXx/ebN998s1/O3ds5uj/pri3u/Nz8iZh9caQv+yp/jpX8wapVqzBjxgzMnj0bt9xyC1pbWwFIy3cuGOMnd/1BT56fP5HyGCxY49yePKtA4sszChQnTpzgr3vOnDkYM2YMXnvttT65J1IYz/kKaZd0C5B2fYG0K4Rsrm+Qbkm3QGhqV4y+1HMw9yekti/R7/YkWMIjq1atYl966SWWZVn2pZdeYh9//HGX7zQ1NbHFxcVsU1MT29zczBYXF7PNzc0sy7Lsddddx+7du9flN//617/YlStXsizLsp9//jm7fPlyv57bYDCwO3fuZFmWZTs6Otjf/OY37LZt21iWZdkPP/yQvf/++wXHsVgsbElJCVtVVcV2dHSws2fPZo8ePepVm48ePcrOnj2b7ejoYKuqqtiSkhLWYrF4dczenvvAgQNsbW0ty7Ise/jwYXby5Mn8b9zde3+c9/Tp0+ysWbNEj7tgwQJ2z549rM1mY5cuXcrf90ASKJ0Gm0DoUqoESo/BprfaZFmW/eqrr9gVK1b47RoDZVt7ghQ1HiibTLhHSpoUQ4o6DURbSb++IQXdSk2bUtRfb9rEceutt7K33nor+/LLL/e6PVIbF5CO/dueQOhYKhqWknaDrVspaVZKepWKVqUAadR/7enPdjWYBEOjUtClFLRI+vON/rLeKwX9+5v+uo7rDm/3efzJDz/8wO7fv19wr9y9E9u2bWOXLl3K2mw2ds+ePezChQv90oa6ujp2//79LMuybFtbGzt9+nT26NGjfd4Om83G6nQ6lmVZ1mQysQsXLmT37NnDlpeXs59//jnLsiy7cuVK9q233mJZ1ru9x97wyiuvsCtWrGDLyspYlmWD1g5vCIZ2L7nkErahoUHwma+a6W5u2R3+eH88taEne6BibVq7dq1of96TPWd3OgxVgqHdQOGPd0JqBPodC1X6Urc0TrAjlTFCKI0NnDl27Bh7/Phxj3OnvtC2N3M/lmXZUaNG+fW8/pij92VbxPzc/I2YfXGkL/sqf46V/MG3337Lms1mlmVZ9vHHH+d1KhXfuWCNn9z1B74+P38j1TFYMMe5vj6rQOPLM+oLLBYLe9FFF7HV1dV9ck+kMJ7zBdKunYGuW5Yl7foCadc9ZHM9Q7q1M9B1y7Khp10x+lrPwdyfkNq+RH/bk6AKn92wZcsWzJ07FwAwd+5cfP311y7f2bFjBy6++GLExMQgOjoaF198cbdZmLZu3Yp58+YBAC677DLs3LnTJdq4N+cOCwvDpEmTAAAqlQojRoxAXV2d2/bs3bsXWVlZyMjIgEqlwqxZs7Blyxav2rxlyxbMmjULKpUKGRkZyMrKwt69e706Zm/PPWLECCQnJwMAcnNz0dHR4XWUdG/O6476+nrodDqMGjUKMpkMc+fOFb1mfxMonQabQOhSqgRCj1Kgt9rU6/V49dVX8Yc//EESbfLVtnaHFDUeLJs8kJGSJsWQok4D0VbSr29IQbdS06YU9dfb8cXXX3+NtLQ05Obm9rotgPTGBaRj/7YnEDqWioalpN1g61ZKmpWSXqWiVSlAGvVfe/qzXQ0mwdCoFHQpBS2S/nyjv6z3SkH//qa/ruO6w9t9Hn8yfvx4REdHCz5z905wn8tkMowaNQqtra2or6/vdRuSkpKQn58PAIiIiEB2djbq6ur6vB0ymQxarRYAYLFYYLFYIJPJsGvXLlx22WUAgHnz5vHPJJDaq62txbZt27Bw4UIA9izMwWiHtwRDu2L4qpne2nZ/vD/u2tDTPVCxNrnD1z1nTzoMVaSi3UDR13bU3wTyHQtl+lK3NE6wI4UxQqiNDZwZMmQIsrOzPX6nL7TtzdwvEEhpXiOVvq+7MYsU+qre+uf1lMmTJ0OhUAAARo0ahdraWo/f72vfuWBpyF1/4I5grnNIYQwWzHfd12cVDILVHwDAzp07kZGRgbS0tD45nxTGc75A2nXPQNItQNr1BdKue8jmeoZ0656BpFsg9LQrhhTmun21bim1fYn+tidBAZ/d0NDQgKSkJABAYmIiGhoaXL5TV1eHlJQU/t/JyckCI3/PPfdgzpw5eP755/nFr7q6OqSmpgIAFAoFIiMj0dTU5PdzA0Brayu++eYbXHjhhfxnmzdvxuzZs1FeXo6amhqvjuOuze5+680xvb0Gb+7XV199hREjRkClUvGfid17f523uroac+fOxXXXXYfdu3eLHjMlJaVPOvxA6TTYBEKXUiUQepQCvdXmM888g9/+9rfQaDSSaROHmG31FSlqPJA2mRBHSpoUQ4o6DURbHSH9do8UdCs1bUpRf71pk16vxz//+U8sW7as1+3gkNq4gHTs3/Y44i8dS0XDUtJusHUrJc1KSa9S0aoUII36rz2O9De7GkyCoVEp6FIKWiT9+UZ/We+Vgv79TX9dx3WHVJ6Du3eiL/ZkqqurUVFRgaKioqC0w2q1Ys6cObjoootw0UUXISMjA1FRUbzDteO5vLHlPeWRRx7Bn/70JzCMfWu5qakpKO3wlmBpd+nSpZg/fz42bNgAwHftBqLd/mqDv3X+1ltvYfbs2fjLX/6ClpYW0TZ1t+fsSYehilTsrr/o7TsRCkjhPQ82wb6mgTpOCPYYIdTGBj2hL7TtzdwPADo6OjB//nxceeWVfnHs9dc6gT/w9j47+7n1NX3dV/ljrBQIPvzwQ0ydOpX/txR854LdDwHC/gDw7fkFAimOwaTwnADvnlVf4O0z6gu++OILlJaW8v8Oxj2RgkbdQdrtgnTrCmm3e0i7QqSgXdJt95BuhUhBt4C0tStGMPQspf0JKe5LhOqehCKgRw8RbrzxRpw/f97l89tuu03wb5lMBplM5tOxV69ejeTkZOh0OpSXl+PTTz/lo5Udz11TU4Nrr70Wcrncb+cG7Nn8VqxYgcWLFyMjIwMAcMkll6C0tBQqlQrvvvsu7rrrLlxzzTU+H1tKHD16FKtXr8Yrr7zCf9bdve8NSUlJ+OabbxAbG4v9+/fjlltuwRdffOGXY7sjmDolpI07PUZERPTJ+QOlzYqKClRVVeGee+5BdXW1JNrEIWZbiS7EbPJAhzQZOpB+uyDd9j1S0t9zzz2HG264gc8S7i1SGxeQjvseqejYVw1LSbuk275DCnrtqb0NJqTRvkUKOgVCS6uk0cAQTC2Gkv58gdZ7Bx7BXsftL/TUfvcEvV6P8vJy3HPPPS7Pqa/aIZfL8emnn6K1tRW33HILTpw4EfBzOvPNN98gLi4OI0eOxPfff9/n5w8V3nnnHSQnJ6OhoQFLlixxqRrWl9p1hxTaAAC/+c1v8Mc//hEymQzPPPMMHnvsMTz66KPBbhbhZ0LhnfA3/fGaQo2BNE4I5hghVMYGnuZcl156qSTa4Ygn3XzzzTdITk7G6dOnccMNN2Do0KHIzMwMRHMliZif2xtvvBHsZvUKT7oIxljJm/flhRdegFwuxxVXXAEgOL5zUsS5Pwj2WHcgjsG8RSrPSkrPyGQyYevWrbjjjjsASGOuNpA16g4paJd02z2kXVdIu0KkqF3SrSukWyFS1C1A2hVDSrpxRgrPSyra7QkU8Angtddec/u3+Ph41NfXIykpCfX19YiLi3P5TnJyMn744Qf+33V1dZgwYQL/N8Be3rm0tBR79+7F3LlzkZycjJqaGrz22muwWCy4+OKLsXHjRoGYe3tuAFi5ciUGDRqEG2+8kf8sNjaW//9FixbhiSeeQHJyMmprawXH4drueK6amhqkpKTAYrGgra0NsbGxHn/b3TG54/b03Nw5li1bhlWrVgkWNN3de3+cVyaT8ZnsR44ciczMTJw8edLlmLW1taLX3BOCodNgEyhdSpFA6LGgoKBP2h4obe7Zswf79+9HcXExLBYLGhsbsXjxYrz55ptBaxOHmG3tCVLUeKBs8kAnVDQphhR1Goi2AqRfZ6SuW6lpU4r6602bfvnlF3z11VdYvXo1WltbwTAM1Go1rrvuOo/nlNq4gHTcd+0B/K/jvtSwlLQrZd1KSbNS0msw7G0wIY32TXuA0LarwURqGpWCLqWgxYGiP18YCOu9UtC/vwnlddyeIJXn4O6dCOSejNlsRnl5OWbPno3p06cHrR0cUVFRmDhxIn7++We0trbCYrFAoVAIzuXJlveGn376CVu3bsX27dvR0dEBnU6Hhx9+uM/b4QvB0C53/Pj4eEybNg179+71WTPdjUN6gr/a4E+dJyQk8P+/aNEi3HzzzaJt6m7POTY21q0OQxWp2F1/4I93IhSQwnsebIKt24E+TgjGGCFUxgae5lze4C9t93bux7UFADIyMjBhwgQcPHiwV2tFvV0n8CfetEXMz62v8fe77K0+ezNW8md7PvroI2zbtg2vvfYa79uoUqn63HdOjGD2Q2L9QU/Guv5EqmOwYI8XfHlWgcaXZxRotm/fjvz8fP5eBOueSEGj7iDt2iHdikPadQ9p1xWpaJd06x7SrStS0S0gbe2K0dd6ltr+hNT2JUJ5T4IJ6NH7AcXFxfjkk08AAJ988glKSkpcvjN58mTs2LEDLS0taGlpwY4dOzB58mTemROwdwLbtm1Dbm4uf9yPP/4YAPDVV19h0qRJLpHLvTk3ADz11FPQ6XS45557BL+pr6/n/3/r1q0YMmQICgoKcOrUKZw+fRomkwlffPEFiouLXdoj1ubi4mJ88cUXMJlMOH36NE6dOoXCwkKvjgmgV+dubW1FWVkZ7rjjDowdO5b/vqd774/zNjY2wmq1AgB/zRkZGUhKSkJERAR+/vlnsCzr9rn5m0DpNNgEQpdSJRB6lAK90eY111yDHTt2YOvWrXj77bcxaNAgr4I9A9kmwL1t7QlS1HggbDLhGSlpUgwp6jQQbSX9+oYUdCs1bUpRf71p09tvv42tW7di69atuOGGG3DTTTf12qFeauMC0rF/2xMIHUtFw1LSbrB1KyXNSkmvUtGqFCCN+q89/dmuBpNgaFQKupSCFkl/vtFf1nuloH9/01/Xcd3h7T5PoHH3TnCfsyyLn3/+GZGRkUhKSur1+ViWxV//+ldkZ2djyZIlQWtHY2MjWltbAQBGoxHfffcdhgwZgokTJ+Krr74CAHz88cf8M/Fm77En3HHHHdi+fTu2bt2KNWvWYNKkSXjyySf7vB2+0NfaNRgM0Ol0/P//97//RW5urs+a8TQO6Sn+aoM/90Ad96q//vprwf65L3vOMpnMrQ5DFanY3d7ir3ciFJDCex5sgq3bgThOCPYYIRTHBj2hL7TtzdyvpaUFJpMJgP3Z//TTT8jJyenVeXszr/E33rRFzM+tr+nLvspfYyV/sX37drz88st44YUXEBYWxn8uFd+5YPVD7voDX5+fP5HyGCyY4wVfn1Ug8fUZBZovvvgCs2bN4v8djHsC9P14zhdIu6RbT5B2xSHtiiMV7ZJuxSHdiiMV3QLS1q4YfalnKe5PSG1fIqT3JFjCI42Njez111/PTps2jb3hhhvYpqYmlmVZdu/evew999zDf+/9999nL730UvbSSy9lP/jgA5ZlWVav17Pz5s1jS0tL2ZkzZ7IPPvgga7FYWJZlWaPRyN56663spZdeyi5YsICtqqry67lramrYoUOHsjNmzGCvuOIK9oorrmDfe+89lmVZdvXq1ezMmTPZ2bNns9dddx177NgxlmVZdtu2bez06dPZkpIS9h//+AfLsiz79NNPs19//XW3bf7HP/7BlpSUsNOnT2e3bdvGfy52TDF6eu7nn3+eLSoq4q/xiiuuYM+fP+/x3vvjvJs2bWJnzpzJXnHFFezcuXPZLVu28Mfcu3cvO2vWLLakpIS9//77WZvN5va6/UWgdCoFAqFLqRIIPQab3mjTkdOnT7OzZs0Keps82daeIkWN+9smE56RmibFkKJO/d1W0q9vSEW3UtOmFPXXm3vEsXbtWvbll1/udVukNi4gHfu3PYHSsRQ0LCXtSkG3UtKslPQqBa1KAdKo/9rTn+1qMAmWRqWgSylocaDrzxf603qvFPTvb/rjOq4nvN3n8Re33347e/HFF7MjRoxgp0yZwr733ntu3wmbzcb+/e9/Z0tKStjS0lJ27969fmnD//73P3bo0KFsaWkpb/u2bdvW5+2oqKhg58yZw5aWlrKzZs1in332WZZlWbaqqopdsGABe+mll7K33nor29HRwbKsd3a0t+zatYstKysLeju8oS+1W1VVxc6ePZudPXs2O3PmTP58PdFMd3NLT/jr/XHXhp7sgYq16c4772RLS0vZ0tJS9qabbmLr6ur47/u65+xOh6FMX9vdQODPd0JKBPodC2X6Src0TrAjpTFCKI0NHNm8eTM7ZcoUNj8/n73wwgvZ3/72tyzLsmxtbS37u9/9jv9eoLXtzdzvxx9/ZEtLS9nZs2ezpaWlftsL9scc3V901xZ3fm7+RMy+vP322+zbb7/Nsmzf9lX+HCv5g0svvZSdOnUqb/NWrlzJsqy0fOeCMX5y1x/05Pn5C6mPwYI1zu3JswoUvj6jQKLX69kJEyawra2t/Gd9cU+kMJ7zlYGuXdKtHdKu95B2XSGb6z2kW9Ity4amdsXoKz0He39CavsS/W1PQsayLBvYkFKCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAjCE0ywG0AQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBDHQoYBPgiAIgiAIgiAIgiAIgiAIgiAIgiAIgiAIgiAIgiAIgiAIgiAIgiAIgiCIIEMBnwRBEARBEARBEARBEARBEARBEARBEARBEARBEARBEARBEARBEARBEARBEEGGAj4JgiAIgiAIgiAIgiAIgiAIgiAIgiAIgiAIgiAIgiAIgiAIgiAIgiAIgiCCDAV8EgRBEARBEARBEARBEARBEARBEARBEARBEARBEARBEARBEARBEARBEARBBBkK+BxgtLa24q233hJ8tnTpUowbNw433XSTz8erq6tDeXm5v5pHEG5x1m5FRQWuuuoqzJo1C7Nnz8bGjRt9Oh5pl+gLnHV75swZzJs3D3PmzMGsWbPwzjvv+HS8ffv24aGHHvJ3MwnCBbHxAgDodDpMnToVDzzwgE/HI+0SfYWYdvPy8jBnzhzMmTMHN998s0/Ho/EC0ReI6fbs2bP47W9/i8svvxwzZ85EdXW118cj3RJ9hbN2d+3axdvbOXPmoKCgAF9//bXXxyPtEn2FmN19/PHHMWvWLFx++eV46KGHwLKs18ejsS7RF4jp9oknnkBpaSlKS0tpXYyQFL7sQZw+fRqLFi3CtGnTcNttt8FkMvl0rt///vdobW3tdZsJgiAIgggezz77LNavXx/sZhBEjyENE6EEt2d2xRVXYN68efjpp5/4v+3evRsLFy7EjBkzMGPGDGzYsIH/27PPPospU6Zgzpw5KC0txZYtW4LRfIIAAJw7dw633347Lr30UsyfPx+///3vcfLkSZw8eRK///3vMX36dMybNw/Lly/H+fPn8f333/fIJ5Ig/MWwYcNw55138v+2WCyYNGkSr8uPPvoIkyZN4vfX/vznPwMA7r77bmzatCkobSb6By+88ALvWztnzhwsXrwYc+bMwbRp0zB27Fhecz/99BNMJhMefvhhTJs2DdOnT8cf/vAH1NbW8sdyZ3urq6tRWloqOK/j+Pjuu+9GcXExP/7YuXMn/71vvvkGc+fOxRVXXIGZM2fi3Xffdfk9QfjK4sWLsW/fvl4do7i4GI2NjX5qEUF0jz906wiNfwmif6EIdgOIwMCyLFiWBcMIY3pbW1vxzjvv4Nprr+U/+93vfof29nbBYp23JCcnY+3atb1uL0FweKtdjUaDVatWYdCgQairq8OCBQswefJkREVFeXUe0i7hT7zVbWJiIjZs2ACVSgW9Xo/Zs2ejuLgYycnJXp2noKAABQUFfm8/MXDxZbwAAE8//TTGjx/v83lIu4S/8UW7Go0Gn376aY/OQ+MFwp/4otu77roLN998My6++GLo9XqX33iCdEv4G2+1O2nSJN7eNjc3Y/r06bj44ou9Pg9pl/A33mr3p59+wk8//YT/+7//AwBcc801+OGHHzBx4kSvzkNjXcKfeKvbbdu24eDBg/jkk09gMpmwePFiTJ06FREREV6dh2wu4Q/8sQexevVq3HjjjZg1axbuvfdefPDBB7jmmmu8bsM///nP3l0EQfiAO80TBEEQBDGwoDEBEco47pl9++23WLNmDf71r3/h3LlzuPPOO/H8888jPz8fjY2N+N3vfofk5GT8+te/BgDceOONWLp0KY4fP45rrrkGO3fupPeA6HNYlsWyZcswd+5cPPXUUwCAQ4cOoaGhAffccw8fWATYHd0pWIOQAuHh4Th69CiMRiM0Gg3++9//uviJzZw5E/fee2+QWkj0R/bs2YNt27bh448/hkqlQmNjI8xmM5KTk/H999/jlVdewUsvvcR/f9WqVdDr9di0aRPkcjk+/PBDLFu2DO+//z4AuLW9KSkp3bblz3/+M2bMmIFdu3bh3nvvxebNm2E2m7Fy5Up88MEHSElJgclk8ikJNkEQBEEQrrS2tuKzzz5z8fv2hY8++v/27jy+pjPx4/gnEUkjtt4axB5brLUkEaZRSxB7EJRp0RGNscyUQQRtLIMmUVMdWwc1xZQXQ8TOMEOZMTIJWg1qCRJLokWKbLLd3x955fykoZME9yLf9z995ZxzT54n/fbpc895lnBiYmKeSt/0UX2OPO+99x4LFy4sMO9n8eLFlClTBn9//yf+/U+zLtakJy8vkWvXruHj40NgYCC9e/dm2bJl+Pn50adPH2MAz8KFC4mPj8fX15fQ0FAA2rVrh5OTU4H7de7cmYULF+Lr68uAAQM4ffo0/v7+dOnSxdiV7uEVWsLDwxk/fjz+/v5069aNsLAwC9VcXnTFya6Liwt16tQBcgepmUwm40GdsiuWUJzc2tvbY29vD0BGRgY5OTnG/Vq1akVoaCi9evXi3Xff5dSpUwwbNgxvb29jhcyHV15ZvHgx06ZNM65Zu3athf8C8qIqbn8hJiaG27dvF5i4oeyKpRQ3u4+j/oJYQnFye/HiRbKysoz21snJCUdHR0C5Fct50jZ33759tG/fXtkViytOdm1sbMjIyCAzM9P4Z6VKlQD1dcUyittfcHd3x87OjjJlyuDq6srhw4cBtbnybD3NdxBms5ljx47h4+MDQP/+/Y22NSgoiJkzZzJ48GC8vb2JjIxk2rRp9OjRg6CgIOMeeSttX7t2jR49evDBBx/Qq1cvRo4cSXp6uiX+JPKS+2nmGzdubJzbu3evkcegoCCCg4MZMGAAPj4+HDx40FpFFjH8dJeNzz//nMWLFzNs2DDmzp1r7NB16tQpK5ZSSqrly5fj4+PD0KFDuXz5MgBnz55l8ODB9OnTh3HjxnH37l1u377NgAEDgNwBxa6urty4cQOALl26kJaWRlBQEHPnzmXIkCF4e3trFyR5Jh7VD/5phkE5lhdLcnKyMbDyyy+/pH///jRt2hQAk8nElClTWLFiRYHP1atXDzs7O5KSkixaXhGAY8eOYWdnx9ChQ41jjRo14sqVK7Rs2dKY7Ang6elJw4YNrVFMkQI6dOjAoUOHANi1axe9evWyboHkpffDDz/w6quvGuMUTSbTYzekSEtLIzw8nOnTp1OqVCkA/Pz8sLe359ixY49te93d3YtUplatWnHz5k0AUlJSyM7OpmLFigDY29tTt27dolZTSrjU1FQCAgLo27cvvXv3Zvfu3fnO79y5kz59+tC7d28WLFgAwJ49e/joo48AWLNmDd7e3gBcvXqVIUOG5Pt8eno6o0aNYtOmTRaojZQUzyq3hw8fpnv37vTv35/9+/dbsEbyPMlblPensrKyrFCan7dy5cpCb/JW0mmHz5dMXFwcoaGhJCcns2/fPjZv3ozZbGbMmDFERUUxadIkLly4UOhdjpydndm2bRvz588nKCiIDRs2kJGRQe/evfN14POcPXuWiIgI7O3t6d69O8OGDcPZ2flpV1NeQk+S3VOnTpGZmUmtWrWMY8quWEJxcpuQkEBAQADx8fEEBgYaD1NSU1Np27YtU6dOZdy4cSxatIjVq1cTGxvL1KlTjU76wy5fvszatWtJTk6mR48eDB06lNKlS1us/vLiKmp2c3JyCA0NZcGCBRw9ejTfvZRdsaTitLsPHjxgwIAB2NnZERAQQJcuXYxz6i+IJRQ1twcOHKB8+fKMHz+ea9eu0a5dOyZPnmy8XFFuxVKe5Dvarl27+PWvf53vmLIrllKc7Hp6euLl5YXZbOadd96hXr16gPq6YjlFze2//vUvlixZwsiRI0lLSyMyMpL69esb91ObK8/S03oHkZSURPny5bGzy31NVbVqVWPAD+S+lNy4cSP/+Mc/GDNmDBs2bKBBgwYMHDiQs2fP5pt4l1euP/7xj8ydO5f333+fffv24evr+/T/AFLi5GW+ZcuWtGrV6rHXXb9+nc2bNxMfH8/w4cP55S9/iYODgwVLKlJ46enpbNu2jaioKKZPn87OnTutXSQpQWJiYti9ezcRERFkZ2cbE4wCAwP58MMPadOmDZ9++ilLlixhxowZPHjwgOTkZKKjo2nWrBnR0dG4ubnx2muvGQtNff/996xfv55Lly4xZswYunfvbuVayssor09gZ2fHtGnTCmQYUI7luZeeno6vry8PHjzghx9+YM2aNQBcvHiRfv365bu2WbNmXLx4scA9vvnmG2xsbDCZTJYoskg+Fy5cMNrcwhwXeV707NmTZcuW0alTJ86dO4efnx/Hjx83zu/evdv4efjw4fj5+VmrqPKSeOONN1i6dCk+Pj60a9eOnj170qZNm0deGxcXh7OzM2XLls13vFmzZly4cAHgZ9vYvMX/8ty6dYuRI0cWuO7IkSPGeJ2KFSvSuXNnOnXqRLt27ejYsSO9e/fW7uFSJEeOHKFy5crGIiX37983JjrdvHmTjz/+mPDwcMqXL8/IkSM5cOAA7u7urFq1CoDjx49TsWJFbt68SXR0NB4eHsa9U1NT+f3vf0+/fv0K9JNFnsSzyO2DBw/48MMPWbNmDbVr12bChAnWqp5Y2cOL8trZ2eHg4ED58uW5fPky+/btY+zYsSQmJvLgwQOGDx/OW2+9BcCWLVtYsWIF5cqVo1GjRsaCEXfu3GHmzJnGwmXTp0/Hzc2N//73v8ybNw8AGxsb/vrXvxboR+RJTk4mICCAuLg4PD09mTVrFra2tnTu3JnNmzdjMplYvnw5ERERmEwmnJ2df7bfsWnTJjZu3EhmZia1a9cmLCwMR0dH9uzZw9KlS7G1taVcuXJ8+eWX+T536NAhli9fzvLly1+45xma8PmSqVatGi1btiQ0NJR///vfRkcjNTWVK1euFHmgTt7AtYYNG5Kammr8x2hvb8+9e/cKXN+uXTvKlSsH5K7qdv36dQ0OkkIpbna///57pkyZQmhoaL4vfMquWEJxcuvs7MyOHTu4efMm48aNw8fHh0qVKlG6dGnefPNNIDe39vb2lC5dmoYNG3L9+vVH/v4OHTpgb2+PyWTCZDJx+/Ztqlat+szqKy+PomZ3/fr1vPnmm4/Ml7IrllScdvfgwYNUqVKFq1evMmLECBo2bGgsEqH+glhCUXOblZVFdHQ0ERERODs7M3HiRMLDwxk0aBCg3IrlPMl3tPPnz+Pl5ZXvuLIrllLU7MbFxREbG8tXX30FwMiRI4mOjsbd3V19XbGYoubWy8uLb7/9liFDhmAymWjZsqWei4nFPO13EI/TqVMnbGxscHV1pVKlSri6ugJQv359rl+/XmDCZ40aNYxjTZs2fWw7LVJUeZn/X3r06IGtrS116tShZs2aXLp0qUBORZ4XebvJeHh4kJyczL1797SatlhMdHQ0Xbp0MSa5de7cmbS0NO7fv28MQO7fvz/vv/8+kLsLzPHjx4mKiuI3v/kNR44cwWw24+bmZtyzS5cu2NraUr9+fW7dumX5SkmJkNcn+OKLLwpkGHIHaSrH8rx75ZVXjMV5Tp48ydSpUwu98MMXX3zB9u3bcXJyYtGiRdjY2DzLooqIvFQaNWrEtWvX2LlzJx06dChwvmfPngQHB1uhZPKycnJyIjw8nOjoaCIjI5k4cSKTJk0ydp5/mmrVqpVv8b/FixfnOx8WFsYnn3xCYmIiGzduNI7PmzePc+fO8Z///IfVq1dz9OhRQkJCnnr55OXVsGFDYwOLTp065dt19ttvv6VNmzbGpJ4+ffoQFRVFly5dSE1NJTk5mYSEBON4dHQ03bp1Mz4/duxYRo0aRd++fS1eL3m5PYvcXrp0iRo1alCnTh0A+vbtq51pS6iHF+WNjIxk9OjR7Nixg5o1awIwf/58KlasSHp6OgMHDqRbt25kZmayePFiwsPDKVu2LMOHD6dJkyZA7v+rR4wYgbu7Ozdu3MDf3589e/awevVqgoODcXNzIyUl5WcXPz116hS7d++mWrVqjBo1ir///e/5Fjl73OKAj9O1a1cGDx4MwCeffMLmzZsZNmwYy5Yt4/PPP6dKlSoFxkPs37+fv/zlL6xYsYIKFSoU++9rLZrw+ZIpU6YMAGazmYCAgAJbjF+7dq1I98vbgcDW1taYrZ3386O29334mlKlSpGdnV2k3yclV3Gym5yczOjRo5k4cWKBARfKrljCk7S5VapUoUGDBkRHR9O9e3dKly5tvBR5OLe2traPzeNPc/s8brsuz6eiZvfkyZMcP36cDRs2kJKSQmZmJmXKlGHy5MnKrlhUcdrdvJ2Ua9asSZs2bThz5owx4VP9BbGEoua2atWqNG7c2HjY4u3tzTfffGOcV27FUorb192zZw9du3YtsKOhsiuWUtTs7t+/nxYtWuDk5ARA+/btOXnypDHhU31dsYTitLljxoxhzJgxQO7LGxcXF+Oc2lx5lp7WO4hXX32Ve/fukZWVhZ2dHYmJicb3N/j/XNrY2BQrxw8ePCh8pUR+Rl7mf+qnGfvpgHcNgBdrs7OzIycnx/j54cwqr/IicXd35/jx49y4cQNvb29WrlwJQMeOHY1rHu4HiDwrj+sTFIZyLM+jVq1akZSUxJ07d6hXrx6nT582dt2C3EGX9evXN35+99138ff3t0ZRRQwNGjRg3759BY7Xr1+fqKgoK5RIpPA6d+5MWFgYa9eu5ccff7R2caQEKFWqFJ6ennh6etKwYUMiIiIeOeGzVq1aJCQkkJycnG93rtOnT9OpUyeAR7a9hRUYGEj37t1Zt24d06dPJzw83Djn6uqKq6srffv2xdvbWxM+pUhcXFwIDw/nq6++YtGiRbRt27ZQn2vVqhXh4eG4uLjg5ubGli1b+PrrrwkKCjKuad26NUeOHKFPnz56biZP1bPIbVHnBknJ0bx5c2P8IcC6devYv38/AAkJCcTFxXHr1q18E4179uzJlStXADh69CgXL140Pp+cnExKSgqtW7cmJCSEPn360K1bN2OszaO8/vrrRhl69erF8ePH8034fNTigD/nwoULLFq0iPv375OSkmJsRtCqVSuCgoLo0aMHXbt2Na4/duwYMTExrF69+rG7kD7vtP/5S8rLy4stW7aQkpIC5G7zfPv2bZycnIxjIs+jwmY3IyODcePG4evrm6/hF7GGwuY2MTGR9PR0AO7evcuJEyfyDcgUsbTCZnfhwoUcOnSIf/7zn0ydOpV+/foxefJkaxVbpNDZvXv3LhkZGQDcuXOHEydO5Hs5LWJJhc1t8+bNuXfvHnfu3AEgMjJSuRWrKurzhV27dhm7xYhYU2GzW61aNaKiosjKyiIzM5OoqCjq1atnrWJLCVfY3GZnZ5OUlATAd999x7lz53jjjTesUmYpuZ70HYSNjQ2enp7GYKGtW7f+z5d4ItZWqVIlYmNjycnJ4cCBA/nO7d27l5ycHOLj47l69aqe+4rVvfbaa9y+fZukpCQyMjI4dOiQcW737t1A7mCKcuXKGTt9i1iCh4cHBw4cID09neTkZA4ePIijoyPly5cnOjoagG3btuHh4QHkTpTbvn07tWvXxtbWlgoVKnD48OF8OyOKWNKjMgxQrlw55VheKLGxsWRnZ1OxYkXefvtttm7dytmzZwFISkri448/ZtSoUVYupUh+bdu2JSMjI98Ocd999x0uLi6cPHkyX583KiqK8+fPW6GUIo82cOBAxo0bh6urq7WLIiXApUuXjMkaAGfPnqVatWqPvLZMmTL069ePkJAQYzHIiIgI0tLSaNu27WPb3rx+b2G988475OTkcOTIEVJSUoiMjMx3v+rVqxfpfiI3b97E0dERX19f/P39OXPmjHHu9ddfJyoqijt37pCdnc2uXbvyfT9bvXo1Hh4eNGnShMjISOzt7fM9H/vd735HhQoVmD17tsXrJS+3Z5HbunXrcv36deLj44HcMTsikH/xssjISI4ePcrGjRvZvn07TZo0+Z+L5+bk5LBp0ya2bdvGtm3bOHLkCE5OTgQEBDB37lzS09MZOnQosbGxj73H0158MigoiODgYHbs2MH48eONscFz5sxhwoQJJCQk4OfnZ4ylqFWrFikpKVy+fPmJfq81aYfPl5SXlxexsbHG6tplypRhwYIF1KpVi9atW9O7d2/at2/P1KlT+dWvfsWlS5dITU3lzTffZN68ebRv397KNZCSqrDZbdSoEdHR0fz4449s3boVgJCQEBo3bmzN4ksJVdjcenl5ERISgo2NDWazmZEjR+pBnlhVUfoLIs+Twma3a9euzJw502h333vvPU2cE6spSps7depURowYAUDTpk0ZNGiQNYsuJVxRsnvt2jUSEhJo06aNlUstUvjsTp48mWPHjhkrtLZv314TjsRqCpvbCRMm8PbbbwNQtmxZFixYgJ2dHvWLZT2NdxBTpkxh4sSJLFq0iMaNG6vfK8+9SZMmMXr0aEwmE82aNSM1NdU45+zszMCBA0lJSWH27Nk4ODhYsaQiuTt+jxs3jkGDBlGlShXq1q1rnHNwcKBfv35kZWUxf/58K5ZSSqKmTZvSs2dPfH19MZlMNG/eHIDQ0FBmzpxJWloaNWvW5KOPPgKgRo0amM1mY4Cbm5sbiYmJVKhQwWp1kJLtcRkG5Vief+np6fj6+gJgNpsJDQ2lVKlSVK5cmQULFvDBBx+QkpKC2WxmxIgRekYmzx0bGxuWLFnC/PnzWblyJQ4ODlSvXp3p06fz2WefMX/+fObPn4+dnR2urq7MmDHDGOgrYm1Vq1Zl+PDh1i6GlBCpqanMnTuXe/fuUapUKWrXrs2cOXMee/2kSZMIDQ3Fx8cHW1tb6taty9KlS41JGY9re4vCxsaGMWPGsGrVKpYuXcqqVasIDg7mlVdewdHR0eg7ixTW+fPnCQsLw9bWFjs7O2bNmkVYWBgAlStXZtKkSYwYMQKz2UyHDh2M3ezd3d1JSEjA3d2dUqVK4ezsnO+5WZ4ZM2Ywffp0wsLCCAwMtGjd5OX1LHLr4ODAnDlzCAgIwNHRETc3N20OV0L93KK89+/fp0KFCjg6OhIbG8vXX38N5E40njdvHklJSZQtW5a9e/fSqFEjIPdd8Lp164zFoM6ePUvjxo2Jj483dumOiYnh8uXLj11U/dSpU1y9epXq1auzZ88eBg8enO+8h4cHQUFBjB49mqysLA4ePMhbb7312DqmpKTwi1/8gszMTHbs2EGVKlUAiI+Pp0WLFrRo0YLDhw+TmJgI5C4AP2XKFH7729/y6aef0qBBg8L/QZ8TNmaz2WztQoiIiIiIiIiIiIiIiIiIvGiCgoLo2LEj3bt3t3ZRRP6nYcOGERgYmG+CkoiIiIiIiIiIiIiIvNgmTZrEuXPncHBwoFKlSvz5z38GICMjg7Fjx3L9+nVcXFy4f/8+48ePx9PTky1btrBixQrKlStH48aNKV26NMHBwdy5c4c5c+YQGxtLdnY27u7uzJkzhz/84Q9ERkZiY2NDgwYNCAkJwd7evkBZIiMj+dOf/oSTkxNxcXF4enoya9YsbG1t6dy5M5s3b8ZkMrF8+XIiIiIwmUxUq1aNJk2a4O/v/8j6rV+/nlWrVmEymWjRogUpKSmEhIQwfvx44uLiMJvNtG3blhkzZrB161ZiYmIIDg7mzJkzTJ48mc8++4xatWo9038HT5smfIqIiIiIiIiIiIiIiIiIFIMmfMqLRBM+RUREREREREREREREnn+a8CkiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiJiZXbWLoCIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIg8/86dO0dgYGC+Y/b29vztb38r9j1nz57NiRMn8h0bPnw4fn5+xb7ni0o7fIqIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIhYma21CyAiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiJS0mnCp4iIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiVacKniIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiJVpwqeIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIlf0fVOQaWnS+EuYAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 3780x180 with 21 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.pairplot(sample, y_vars=['fwd1min'], x_vars=features);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-01-20T01:32:09.862694Z",
     "start_time": "2021-01-20T01:32:07.541788Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "corr = sample.loc[:, features].corr()\n",
    "sns.clustermap(corr, cmap = sns.diverging_palette(20, 230, as_cmap=True),\n",
    "              center=0, vmin=-.25);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-01-20T01:24:31.542206Z",
     "start_time": "2021-01-20T01:19:47.293886Z"
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 21/21 [04:44<00:00, 13.54s/it]\n"
     ]
    }
   ],
   "source": [
    "ic = {}\n",
    "for feature in tqdm(features):\n",
    "    df = data[['fwd1min', feature]].dropna()\n",
    "    by_day = df.groupby(df.index.get_level_values('date_time').date) # calc per min is very time-consuming\n",
    "    ic[feature] = by_day.apply(lambda x: spearmanr(x.fwd1min, x[feature])[0]).mean()\n",
    "ic = pd.Series(ic)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-01-20T01:24:31.548273Z",
     "start_time": "2021-01-20T01:24:31.543301Z"
    },
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "STOCHRSI         -0.015177\n",
       "ret4min          -0.013636\n",
       "CCI              -0.012663\n",
       "ret5min          -0.012534\n",
       "ret3min          -0.012235\n",
       "ret9min          -0.010546\n",
       "ret8min          -0.009978\n",
       "ret2min          -0.009834\n",
       "ret7min          -0.009678\n",
       "ret10min         -0.009596\n",
       "ret1min          -0.009468\n",
       "ret6min          -0.009047\n",
       "rup              -0.008965\n",
       "BOP              -0.006312\n",
       "slowk            -0.005720\n",
       "trades_bid_ask   -0.005406\n",
       "MFI              -0.003847\n",
       "slowd            -0.001772\n",
       "up               -0.000832\n",
       "down              0.000038\n",
       "rdown             0.010978\n",
       "dtype: float64"
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ic.sort_values()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-01-20T01:24:31.817830Z",
     "start_time": "2021-01-20T01:24:31.550903Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1008x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "title = 'Information Coeficient for Intraday Features (1-min forward returns)'\n",
    "ic.index = ic.index.map(str.upper)\n",
    "ax = ic.sort_values(ascending=False).plot.bar(figsize=(14, 4), title=title, rot=35)\n",
    "ax.set_ylabel('Information Coefficient')\n",
    "ax.yaxis.set_major_formatter(FuncFormatter(lambda y, _: '{:.1%}'.format(y))) \n",
    "sns.despine()\n",
    "plt.tight_layout();"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Store results"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-01-20T01:24:32.789106Z",
     "start_time": "2021-01-20T01:24:31.818814Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "MultiIndex: 30875649 entries, ('AAL', Timestamp('2015-01-02 09:30:00')) to ('YHOO', Timestamp('2017-06-16 15:59:00'))\n",
      "Data columns (total 25 columns):\n",
      " #   Column          Non-Null Count     Dtype  \n",
      "---  ------          --------------     -----  \n",
      " 0   date            30875649 non-null  int64  \n",
      " 1   minute          30875649 non-null  int64  \n",
      " 2   ret1min         30612848 non-null  float64\n",
      " 3   ret2min         30302846 non-null  float64\n",
      " 4   ret3min         30220887 non-null  float64\n",
      " 5   ret4min         30141503 non-null  float64\n",
      " 6   ret5min         30063236 non-null  float64\n",
      " 7   ret6min         29983969 non-null  float64\n",
      " 8   ret7min         29903822 non-null  float64\n",
      " 9   ret8min         29824607 non-null  float64\n",
      " 10  ret9min         29745431 non-null  float64\n",
      " 11  ret10min        29666821 non-null  float64\n",
      " 12  fwd1min         30875649 non-null  float64\n",
      " 13  up              30083777 non-null  float64\n",
      " 14  down            30083777 non-null  float64\n",
      " 15  rup             30083777 non-null  float64\n",
      " 16  rdown           30083777 non-null  float64\n",
      " 17  BOP             30612848 non-null  float64\n",
      " 18  CCI             28517773 non-null  float64\n",
      " 19  MFI             30873719 non-null  float64\n",
      " 20  STOCHRSI        30871639 non-null  float64\n",
      " 21  slowd           30873302 non-null  float64\n",
      " 22  slowk           30873302 non-null  float64\n",
      " 23  NATR            30873719 non-null  float64\n",
      " 24  trades_bid_ask  30083777 non-null  float64\n",
      "dtypes: float64(23), int64(2)\n",
      "memory usage: 6.9+ GB\n"
     ]
    }
   ],
   "source": [
    "data.info(null_counts=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-01-20T01:24:42.993197Z",
     "start_time": "2021-01-20T01:24:32.790098Z"
    }
   },
   "outputs": [],
   "source": [
    "data.drop(['date', 'up', 'down'], axis=1).to_hdf('data/algoseek.h5', 'model_data')"
   ]
  }
 ],
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