Live_BOT_(1)_on_RSI_.ipynb

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  "metadata": {
    "colab": {
      "name": "Trading Live BOT (1) on RSI  .ipynb",
      "provenance": [],
      "collapsed_sections": [],
      "include_colab_link": true
    },
    "kernelspec": {
      "display_name": "Python 3",
      "language": "python",
      "name": "python3"
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    "language_info": {
      "codemirror_mode": {
        "name": "ipython",
        "version": 3
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      "file_extension": ".py",
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      "name": "python",
      "nbconvert_exporter": "python",
      "pygments_lexer": "ipython3",
      "version": "3.7.3"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/ashishkumar30/Zerodha_Live_Automate_Trading-_using_AI_ML_on_Indian_stock_market-using-basic-python/blob/master/Live_BOT_(1)_on_RSI_.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "B1n-UkuCuSGt"
      },
      "source": [
        "#       BUY-SELL  BOT on RSI  "
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "o5yryLf7uSGu"
      },
      "source": [
        "* This is the automated BUY and SELL code for zerodha , it will buy order and sell that order on indian exchange based on buy/sell strategy implemented on code."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "Ds5kl7RDuSGv"
      },
      "source": [
        "BOT STRATEGY:- \n",
        "* Place an order when RSI is greater then 30,when high breaks next high,place BUY SL order on current high when BUY SL order implemented on ZERODHA place an order of SELL on lowest lowcand if  RSI cross70:cancel the SELL SL bid place MARET order of BUY bid.Full strategy mention below."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "f47ipfMtuSGw"
      },
      "source": [
        "Import All libraries required for BOT"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "kOrIloxAuSGw",
        "colab": {}
      },
      "source": [
        "import time\n",
        "import secrets \n",
        "import threading\n",
        "import webbrowser\n",
        "import numpy as np\n",
        "import pandas as pd\n",
        "from pytz import timezone\n",
        "from pprint import pprint\n",
        "from datetime import datetime\n",
        "from time import gmtime, strftime\n",
        "from kiteconnect import KiteTicker \n",
        "from kiteconnect import KiteConnect\n",
        "from IPython.display import clear_output\n",
        "from IPython.core.interactiveshell import InteractiveShell\n",
        "InteractiveShell.ast_node_interactivity = \"all\""
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "ucsfQi6VuSG0"
      },
      "source": [
        "#   LOGIN TO ZERODHA "
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "is1IdTVSuSG1"
      },
      "source": [
        "\n",
        " Enter api key & api secret"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "0hFcbLHsuSG2",
        "colab": {}
      },
      "source": [
        "# API your KEY and API secter \n",
        "api_key='******************* @@enter your api key here@@@**************' \n",
        "api_secret='**********************@@enter your api key here****************'\n",
        "print(KiteConnect(api_key,api_secret).login_url())\n",
        "#webbrowser.open_new_tab(KiteConnect(api_key,api_secret).login_url())"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "nIRRGNcSuSG7"
      },
      "source": [
        " Insert token generated from link and pase here : "
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "4a8dlbWRuSG8",
        "colab": {}
      },
      "source": [
        "link= \"fghjnbvghjnbvghujq\""
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "c0N8KKWuuSG-"
      },
      "source": [
        " Getting Details of Account"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "iFHmLF3NuSG-",
        "colab": {}
      },
      "source": [
        "''' \n",
        "ao=link.split(\"=\")\n",
        "o_o=min(ao)\n",
        "strin=o_o.split(\"&\")\n",
        "n_strin=strin[0]\n",
        "''' \n",
        "kite = KiteConnect(api_key=api_key)\n",
        "data = kite.generate_session(link,api_secret)\n",
        "kite.set_access_token(data[\"access_token\"])\n",
        "data"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "q_ZQkfahuSHC"
      },
      "source": [
        "\n",
        "* *  *  * * \n",
        "\n",
        "\n",
        "#  Enter  All Inputs for the RSI BOT\n",
        "\n",
        "* *  *  * * "
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Z38kx6p_Rd02",
        "colab_type": "text"
      },
      "source": [
        "Finding \"Token\" only if required"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "rOss23USRd04",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "print(\"input token name\")\n",
        "token_n=str(input())\n",
        "print(\"enter exchange\")\n",
        "exc=str(input())\n",
        "pd.DataFrame(kite.instruments(exc))[[\"tradingsymbol\",\"instrument_token\",\"name\",\"exchange\"]][pd.DataFrame(kite.instruments(exc))[[\"tradingsymbol\",\"instrument_token\",\"name\",\"exchange\"]]['tradingsymbol'].str.contains(token_n)] "
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "NOz9dfqiRd09",
        "colab_type": "text"
      },
      "source": [
        "* *  *  * * \n",
        "\n",
        "\n",
        "\n",
        "* *  *  * * "
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "ZcknUkzrRd0_",
        "colab_type": "text"
      },
      "source": [
        "Example:  ( Inputs are case sensitive )\n",
        "1. Trading symbol             ... ( \"SUNPHARMA \")\n",
        "2. exchange                   ... (\" NSE / BSE \" / \" CDS \")\n",
        "3. productt                   ... (\" CNC\" / \" NRML \" )\n",
        "4. Quantity                   ... (1 , 2 , 3 etc ! how much u want)\n",
        "5. Instrument token           ... ( Ex SUNPHARMA instrument token is 857857 )\n",
        "6. RSI in condition           ...       ( 30 )\n",
        "7. RSI out condition          ...       ( 31 )\n",
        "8. rofit booking RSI condition...       ( 70 )\n",
        "9. Time frame of candels      ...   ( \"minute\"/ \"10 minute\" )\n",
        "10. starting data of Data     ...   ( \"2019-06-05\" )\n",
        "11. Ending data Of Data       ...   ( \"2019-07-02\" )"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "NxSDVBuSuSHD",
        "colab": {}
      },
      "source": [
        "ttradingsymbol =\"SBIN\"\n",
        "eexchange      =\"NSE\"\n",
        "productt       =\"MIS\"\n",
        "qu             =1\n",
        "RSI_VAL        =30\n",
        "RSI_VAL2       =30\n",
        "profit_booking =70\n",
        "time_frame     =\"minute\"\n",
        "sdate          =\"2019-06-05\"\n",
        "todate         =\"2019-10-02\"\n",
        "#Do not change here#\n",
        "buy_add=.50\n",
        "sell_add=.50\n",
        "ttoken=int(pd.DataFrame(kite.ltp(eexchange+\":\"+ttradingsymbol)).iloc[-2,0])"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "zJ4OKRJDuSHF"
      },
      "source": [
        "# FOR TESTING "
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "NnaSNg4HuSHG"
      },
      "source": [
        "* Testing  and Status  (Only if required)\n",
        "- To check that the above BOT details are filled succesfully or not by placing an MARKET order  :- (remove # before code )"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "Hnz1MucbuSHH"
      },
      "source": [
        " Place Order"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "Zrkl41mnuSHI",
        "colab": {}
      },
      "source": [
        "kite.place_order(variety=\"regular\",tradingsymbol=ttradingsymbol,quantity=qu,exchange=eexchange,order_type='MARKET',transaction_type='BUY',product=productt,tag=\"abTST\")"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "jlfUjpg1uSHL"
      },
      "source": [
        " Order Status"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "zYxU9fBEuSHM",
        "colab": {}
      },
      "source": [
        "display(pd.DataFrame(kite.orders())[[\"tradingsymbol\",\"instrument_token\",\"status\",\"order_id\",\"quantity\",\"price\",\"trigger_price\",\"order_type\",\"exchange_update_timestamp\",\"exchange\",'tag',\"validity\",  \"average_price\",\"pending_quantity\"]])"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "Nsr-UMpmuSHP"
      },
      "source": [
        "# Position\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "afYNiybHuSHP",
        "colab": {}
      },
      "source": [
        "display(pd.DataFrame(kite.positions()[\"net\"])[[\"tradingsymbol\",\"average_price\",\"buy_m2m\",\"buy_price\",\"buy_quantity\",\"buy_value\",\"close_price\",\"sell_m2m\",\"sell_price\",\"sell_quantity\",\"sell_value\",\"unrealised\",\"value\",\"day_buy_price\",\"day_buy_quantity\",\"day_buy_value\",\"day_sell_price\",\"product\",\"quantity\",\"realised\"]])           "
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "F7dmjHPEuSHR"
      },
      "source": [
        "# Holdings"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "B0kTMikiuSHS",
        "colab": {}
      },
      "source": [
        "display(pd.DataFrame(kite.holdings())[[\"tradingsymbol\",\"instrument_token\",\"pnl\",\"average_price\",\"close_price\",\"collateral_quantity\",\"collateral_type\",\"day_change\",\"day_change_percentage\",\"exchange\",\"isin\",\"last_price\",\"price\",\"product\",\"quantity\",\"realised_quantity\",\"t1_quantity\" ]])      "
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "xtfAs0YEuSHU"
      },
      "source": [
        "Historical Data"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "jT8n9euMuSHV",
        "colab": {}
      },
      "source": [
        "display(pd.DataFrame(kite.historical_data(ttoken, sdate, todate,time_frame,0))[[\"date\",\"open\",\"high\",\"low\",\"close\",\"volume\"]].tail(10))"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "Qpvj-m_GuSHX"
      },
      "source": [
        "* *  *  * * "
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "9pX2viAOuSHX"
      },
      "source": [
        "#       \" Do not change anything in program from here \""
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "nfK42qrxuSHY"
      },
      "source": [
        "#  Problem Algorithm"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "CZhZ360vuSHZ"
      },
      "source": [
        "1. Place an order when RSI is greater then 30\n",
        "2. note all candels when rsi comes below 30 and again goes greater then 30\n",
        "3. when high of high hits\n",
        "4. place BUY SL order  on current high \n",
        "5. if BUY SL order implemented on ZERODHA\n",
        "6. place an order of SELL on lowest low which is stored when rsi comes below 30 and goes greater 30\n",
        "7. wair for conditions \n",
        "8. if RSI cross70:\n",
        "    cancel the SELL SL bid \n",
        "    place MARET order of BUY Bid\n",
        "    and run programe from starting\n",
        "9. if sell SL bid executed , run program from starting"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "HPnMwih0uSHb"
      },
      "source": [
        "# Design Algorithm "
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "ZchjffeTRd18",
        "colab_type": "text"
      },
      "source": [
        "# Flow Chart "
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "pn_THdC9Rd1-",
        "colab_type": "text"
      },
      "source": [
        "-NA-"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "XoCqLyd3Rd2A",
        "colab_type": "text"
      },
      "source": [
        "# Verification of Testing "
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "4eRFLGIuRd2C",
        "colab_type": "text"
      },
      "source": [
        "Tested on All Cases (SUNPHARMA, ADANIPOWER)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "iqhywNMOuSHd"
      },
      "source": [
        "# Implementation Of Coding "
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "5HoNC5kYuSHd",
        "outputId": "88d56bd2-8a90-435d-ccc2-6be9e9a3b384",
        "scrolled": true,
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 818
        }
      },
      "source": [
        "InteractiveShell.ast_node_interactivity = \"all\"\n",
        "changesver=[5]\n",
        "a=[0]\n",
        "b=[0]\n",
        "hh=[]\n",
        "ii=[]\n",
        "ggg=[]\n",
        "firs=[]\n",
        "inpu=[]\n",
        "glkk=[]\n",
        "akki=[]\n",
        "ame=[21]\n",
        "check=[]\n",
        "bii_by=[]\n",
        "orprice=[]\n",
        "datalow=[]\n",
        "progrun=[]\n",
        "rsichec=[]\n",
        "datarsi=[0]\n",
        "buyprice=[]\n",
        "beak_high=[]\n",
        "sellorder=[]\n",
        "org_price=[]\n",
        "limitprice=[]\n",
        "sellorder1=[]\n",
        "orderplaced=[]\n",
        "prog_starts=[]\n",
        "high_to_high=[]\n",
        "rsi_strategy=[]\n",
        "sell_strategy=[]\n",
        "rsi_condition=[]\n",
        "orgtimersicondition=[]\n",
        "sellbit_execute_limit=[]\n",
        "buy_order_sell_status=[]\n",
        "buy_order_info_buy_orid=[]\n",
        "buy_order_info_buy_symbol=[]\n",
        "buy_order_info_buy_status=[]\n",
        "buy_order_info_buy_status=[]\n",
        "buy_order_info_buy_orderid=[]\n",
        "buy_order_info_sell_orderid=[]\n",
        "class ThreadingData(object):\n",
        "    global app_z_status\n",
        "    global app_z_order\n",
        "    global app_z_order_type\n",
        "    global app_z_transaction_type\n",
        "    app_z_status=[]\n",
        "    app_z_order=[]\n",
        "    app_z_order_type=[]\n",
        "    app_z_transaction_type=[]\n",
        "    def __init__(self):\n",
        "        thread = threading.Thread(target=self.run, args=())\n",
        "        thread.daemon = True\n",
        "        thread.start()\n",
        "    def run(self):\n",
        "        access_token=token\n",
        "        api_key=api_key\n",
        "        logging.basicConfig(level=logging.DEBUG, format='%(asctime)s - %(name)s - %(levelname)s - %(message)s')\n",
        "        clear_output(wait=True)\n",
        "        kws = KiteTicker(api_key, access_token, debug=True)\n",
        "        global app_z_status\n",
        "        global app_z_order\n",
        "        global app_z_order_type\n",
        "        global app_z_transaction_type\n",
        "        tokens = [ttoken]\n",
        "        print(\"Tokens length\", len(tokens))\n",
        "        def on_connect(ws, response):\n",
        "            logging.debug(\"on connect: {}\".format(response))\n",
        "            ws.subscribe(tokens)\n",
        "            ws.set_mode(ws.MODE_FULL, tokens)\n",
        "        def on_close(ws, code, reason):\n",
        "            logging.error(\"closed connection on close: {} {}\".format(code, reason))\n",
        "        def on_error(ws, code, reason):\n",
        "            logging.error(\"closed connection on error: {} {}\".format(code, reason))\n",
        "        def on_noreconnect(ws):\n",
        "            logging.error(\"Reconnecting the websocket failed\")\n",
        "        def on_reconnect(ws, attempt_count):\n",
        "            logging.debug(\"Reconnecting the websocket: {}\".format(attempt_count))\n",
        "        def on_order_update(ws, data):\n",
        "            z_status=data['status']\n",
        "            z_order=data[\"order_id\"]\n",
        "            z_order_type=data[\"order_type\"]\n",
        "            z_transaction_type=[\"transaction_type\"]\n",
        "            app_z_status.append(z_status)\n",
        "            app_z_order.append(z_order)\n",
        "            app_z_order_type.append(z_order_type)\n",
        "            app_z_transaction_type.append(z_transaction_type)\n",
        "            print(app_z_status)\n",
        "            print(app_z_order)\n",
        "            print(app_z_order_type)\n",
        "            print(app_z_transaction_type)\n",
        "            print(data)\n",
        "        kws.on_connect      = on_connect\n",
        "        kws.on_close        = on_close\n",
        "        kws.on_error        = on_error\n",
        "        kws.on_noreconnect  = on_noreconnect\n",
        "        kws.on_reconnect    = on_reconnect\n",
        "        kws.on_order_update = on_order_update\n",
        "        kws.connect()\n",
        "def ashi():\n",
        "    while(True):\n",
        "        InteractiveShell.ast_node_interactivity = \"all\"\n",
        "        km=datetime.now().minute\n",
        "        ks=datetime.now().second\n",
        "        if km%1==0 and ks==1:\n",
        "            clear_output(wait=True)\n",
        "            z=kite.historical_data(ttoken, sdate, todate,time_frame,0)\n",
        "            za=pd.DataFrame(z)\n",
        "            rsi_period=14\n",
        "            chg=za[\"close\"].diff(1)\n",
        "            gain=chg.mask(chg<0,0) \n",
        "            loss=chg.mask(chg>0,0)\n",
        "            avg_gain=gain.ewm(com=rsi_period-1,min_periods=rsi_period).mean()\n",
        "            avg_loss=loss.ewm(com=rsi_period-1,min_periods=rsi_period).mean()\n",
        "            rs =abs(avg_gain / avg_loss)\n",
        "            rsi =100 -(100/(1+rs))\n",
        "            za['rsi']=rsi\n",
        "            def bidatrema(df,period):\n",
        "                df['hl']=abs(df['high']-df['low'])\n",
        "                df['hpc']=abs(df['high']-df['close'].shift())\n",
        "                df['lpc']=abs(df['low']-df['close'].shift())\n",
        "                df['tr']=df[['hl','hpc','lpc']].max(axis=1)\n",
        "                df['ATR']=pd.DataFrame.ewm(df[\"tr\"], span=period,min_periods=period).mean()\n",
        "                df.drop([\"hl\",\"hpc\",\"lpc\",\"tr\"],axis = 1 , inplace =True)\n",
        "            bidatrema(za,14)\n",
        "            p=za.iloc[-1,6]\n",
        "            o=za.iloc[-2,2]\n",
        "            a.append(p)\n",
        "            b.append(o)\n",
        "            def avg_ha(x):\n",
        "                a=list(modf(round(x,3)))\n",
        "                d=str(a[0])\n",
        "                aa=str(d[0:2])\n",
        "                try:\n",
        "                    ab=str(d[2])\n",
        "                except:\n",
        "                    ab='0'\n",
        "                try:\n",
        "                    ac=str(d[3])\n",
        "                except:\n",
        "                    ac='0'\n",
        "                try:\n",
        "                    ad=str(d[4])\n",
        "                except:\n",
        "                    ad='0'\n",
        "                c=aa+ab+ac+ad\n",
        "                b=0\n",
        "                if a[0]!=0:\n",
        "                    astr=c\n",
        "                    a0=astr[0]\n",
        "                    a1=astr[1]\n",
        "                    a3=int(astr[2])\n",
        "                    a2=int(astr[3:5])\n",
        "                    if a2>=0 and a2<25:\n",
        "                        a2=0\n",
        "                    elif a2>=25 and a2<75:\n",
        "                        a2=5\n",
        "                    elif a2>=75 and a2<=99:\n",
        "                        a3+=1\n",
        "                        a2=0\n",
        "                    aint=a0+a1+str(a3)+str(a2)\n",
        "                    a[0]=float(aint)\n",
        "                for k in a:\n",
        "                    b+=k\n",
        "                return b\n",
        "            InteractiveShell.ast_node_interactivity = \"all\"\n",
        "            print(\" \\n \\t \\t \\t \\t  ZERODHA RSI 'Relative Strength Index BOT'\",changesver)\n",
        "            print(\" \\n \\t \\t \\t \\t  ZERODHA RSI 'Relative Strength Index BOT'\")\n",
        "            now_utc = datetime.now(timezone('UTC'))\n",
        "            now_asia = now_utc.astimezone(timezone('Asia/Kolkata'))\n",
        "            now_asia = now_asia.strftime(\"%Y-%m-%d _ %H:%M:%S \")\n",
        "            klp1=now_asia\n",
        "            prog_starts.append(klp1)\n",
        "            print(\"\\n \")\n",
        "            print(\"Zerodha RSI BOT start Time             \"  , prog_starts[0])\n",
        "            print(\"\\n \")\n",
        "            print(\"BOT working succeesfully on time:      \"  , now_asia )\n",
        "            print(\"\\n \")\n",
        "            print(\"Trading symbol is\",ttradingsymbol,\"Token is\",ttoken,\"Exchange is\",eexchange,\"RSI condition is\",RSI_VAL,RSI_VAL2,\"and profit booking RSI level is\",profit_booking,\" \\t \\n and product type is\",productt,\"Quantity is\",qu,\"time frame for Historical Data is\",time_frame,\"Starting and Ending Date of Historical Data is\",sdate,todate)\n",
        "            print(\"\\n \")\n",
        "            #display(data)\n",
        "            print(\"RSI condition Occured but high Not break\" , len(progrun))\n",
        "            if 2 in rsichec:\n",
        "                print(\"RSI condition's occured at time    \"  ,*rsi_condition,sep='\\n')\n",
        "            print(\"\\n \")\n",
        "            print(\"\\n \")\n",
        "            if 2 in high_to_high:\n",
        "                print(\"High-High breaks condition time    \"  ,*beak_high,sep='\\n')\n",
        "            print(\"\\n \")\n",
        "            print(\"Current  ATR status is                 \"  , za.iloc[-1,7])\n",
        "            print(\"Current  RSI status is                 \"  , a[-1])\n",
        "            print(\"Previous RSI status is                 \"  , a[-2])\n",
        "            print(\"Current  HIGH is                       \"  , b[-1])\n",
        "            print(\"Previous HIGH satus is                 \"  , b[-2])\n",
        "            \n",
        "            print(\"Lowest-Low when enter in RSI Condition \"  , datalow)\n",
        "            print(\"RSI at ENTRY in Condition Rough detail \"  , datarsi[-1])\n",
        "            print(\"\\n \")\n",
        "            print(\"\\t  \\t \\t   BUY & SELL details and Number of Order Placed \\n \")\n",
        "            print(\"Orignal Price while placing order is   \"  , orprice)\n",
        "            print(\"BUY bid trigger price is               \"  , buyprice)\n",
        "            print(\"BUY bid price is                       \"  , limitprice)\n",
        "            print(\"SELL SL trigger price is               \"  , sellorder)\n",
        "            print(\"SELL stoploss is price is              \"  , sellorder1)\n",
        "            print(\"Number of BUY/SELL order till now is                   \" , len(orderplaced))\n",
        "            print(\"Number of time BOT complete RSI profit booking strategy\" , len(rsi_strategy))\n",
        "            print(\"Number of time BOT complet with execution of sell bid  \" , len(sell_strategy))\n",
        "            if 0 in check:\n",
        "                print(\" BUY bid Order Symbol              \"  , buy_order_info_buy_symbol)\n",
        "                print(\" BUY bid Order Status              \"  , buy_order_info_buy_status)\n",
        "                print(\" BUY bid Order id                  \"  , buy_order_info_buy_orid)\n",
        "                print(\" BUY bid placed of                 \"  , buy_order_info_buy_symbol, \"and order id  is\", buy_order_info_buy_orid)\n",
        "            if 0 in sellbit_execute_limit:\n",
        "                print(\" SELL Order Status                 \"  , buy_order_sell_status)\n",
        "                print(\" SELL Order id                     \"  , buy_order_info_sell_orderid)\n",
        "                print(\" BUY Order executed on zerodha and SELL bid placed Order of\",ttradingsymbol,\"status is\",buy_order_sell_status,\"order id is\",buy_order_info_sell_orderid)\n",
        "            print(\"\\n \")\n",
        "            if 0 in check:\n",
        "                if 0 in sellbit_execute_limit:\n",
        "                    lll=str(buy_order_info_sell_orderid[0])\n",
        "                    kneww8=pd.DataFrame(kite.orders())[[\"tradingsymbol\",\"status\",\"order_id\",\"quantity\"]]\n",
        "                    zc898,=kneww8[kneww8.order_id== lll].index\n",
        "                    in898=int(zc898)\n",
        "                    if \"COMPLETE\" in kneww8.loc[in898,\"status\"]:\n",
        "                        print(\"YES Order Already Executed of SL \")\n",
        "                        a.clear()\n",
        "                        b.clear()\n",
        "                        hh.clear()\n",
        "                        ii.clear()\n",
        "                        ggg.clear()\n",
        "                        ame.clear()\n",
        "                        a.append(0)\n",
        "                        b.append(0)\n",
        "                        firs.clear()\n",
        "                        inpu.clear()\n",
        "                        glkk.clear()\n",
        "                        akki.clear()\n",
        "                        check.clear()\n",
        "                        bii_by.clear()\n",
        "                        orprice.clear()\n",
        "                        datarsi.clear()\n",
        "                        datalow.clear()\n",
        "                        buyprice.clear()\n",
        "                        datarsi.append(0)\n",
        "                        sellorder.clear()\n",
        "                        org_price.clear()\n",
        "                        limitprice.clear()\n",
        "                        sellorder1.clear()\n",
        "                        sellbit_execute_limit.clear()\n",
        "                        buy_order_sell_status.clear()\n",
        "                        buy_order_info_buy_orid.clear()\n",
        "                        buy_order_info_buy_symbol.clear()\n",
        "                        buy_order_info_buy_status.clear()\n",
        "                        buy_order_info_buy_status.clear()\n",
        "                        buy_order_info_buy_orderid.clear()\n",
        "                        buy_order_info_sell_orderid.clear()\n",
        "                        print(\" Cycle complete with execution of SELL bid   \")\n",
        "                        orderplaced.append(1)\n",
        "                        sell_strategy.append(1)\n",
        "                        ashi()\n",
        "                    if za.iloc[-1,6]>=profit_booking:\n",
        "                        lll=buy_order_info_sell_orderid[0]\n",
        "                        print(\"SL order Cancel id is : \",buy_order_info_sell_orderid,kite.cancel_order(\"regular\",order_id=lll, parent_order_id=None))\n",
        "                        print(\"Market order placed and BOT starts again\",kite.place_order(variety=\"regular\",tradingsymbol=ttradingsymbol,quantity=qu,exchange=eexchange,order_type='MARKET',transaction_type='SELL',product=productt,tag=\"RSImkt\"))               \n",
        "                        a.clear()\n",
        "                        b.clear()\n",
        "                        hh.clear()\n",
        "                        ii.clear()\n",
        "                        ggg.clear()\n",
        "                        ame.clear()\n",
        "                        a.append(0)\n",
        "                        b.append(0)\n",
        "                        firs.clear()\n",
        "                        inpu.clear()\n",
        "                        glkk.clear()\n",
        "                        akki.clear()\n",
        "                        check.clear()\n",
        "                        bii_by.clear()\n",
        "                        datarsi.clear()\n",
        "                        orprice.clear()\n",
        "                        datalow.clear()\n",
        "                        buyprice.clear()\n",
        "                        sellorder.clear()\n",
        "                        org_price.clear()\n",
        "                        datarsi.append(0)\n",
        "                        limitprice.clear()\n",
        "                        sellorder1.clear()\n",
        "                        sellbit_execute_limit.clear()\n",
        "                        buy_order_sell_status.clear()\n",
        "                        buy_order_info_buy_orid.clear()\n",
        "                        buy_order_info_buy_symbol.clear()\n",
        "                        buy_order_info_buy_status.clear()\n",
        "                        buy_order_info_buy_status.clear()\n",
        "                        buy_order_info_buy_orderid.clear()\n",
        "                        buy_order_info_sell_orderid.clear()\n",
        "                        print(\" This Cycle completed with RSI strategy \")\n",
        "                        rsi_strategy.append(1)\n",
        "                        orderplaced.append(1)\n",
        "                        ashi()\n",
        "                    else:\n",
        "                        pass\n",
        "                if 0 not in glkk:\n",
        "                    kkkstr=str(buy_order_info_buy_orid[0])\n",
        "                    kneww=pd.DataFrame(kite.orders())[[\"tradingsymbol\",\"status\",\"order_id\",\"quantity\"]]\n",
        "                    zc89,=kneww[kneww.order_id== kkkstr].index\n",
        "                    in899=int(zc89)\n",
        "                    if \"COMPLETE\" in kneww.loc[in899,\"status\"]:\n",
        "                        print(\" YES! BUY bid Executed \")\n",
        "                        xel=min(datalow)-(za.iloc[-1,7]*.25)\n",
        "                        triggerpriceis=avg_ha(xel)\n",
        "                        sellorder.append(triggerpriceis)\n",
        "                        xelm=triggerpriceis-sell_add\n",
        "                        stoplossis=avg_ha(xelm)\n",
        "                        sellorder1.append(stoplossis)\n",
        "                        print(\"Buy Limit order executed on zerodha and now SELL order placed\")        \n",
        "                        print(\"Sell Stoploss order placed and SL trigger price is \", triggerpriceis,\"and stoploss is\",stoplossis)\n",
        "                        listt1=int(kite.place_order( variety=\"regular\",tradingsymbol=ttradingsymbol,quantity=qu,exchange=eexchange,order_type='SL',stoploss= triggerpriceis,trigger_price=stoplossis,transaction_type='SELL',product=productt,tag=\"RSIsel\"))\n",
        "                        listtt2=\"STATUS\"\n",
        "                        buy_order_sell_status.append(listtt2)\n",
        "                        zkak=int(listt1)\n",
        "                        buy_order_info_sell_orderid.append(zkak)\n",
        "                        print(buy_order_sell_status)\n",
        "                        print(buy_order_info_sell_orderid)\n",
        "                        sellbit_execute=secrets.randbelow(1)\n",
        "                        sellbit_execute_limit.append(sellbit_execute)\n",
        "                        glk=secrets.randbelow(1)\n",
        "                        glkk.append(glk)\n",
        "                    else:\n",
        "                        pass    \n",
        "                else:\n",
        "                    pass\n",
        "            if 0 in bii_by:\n",
        "                if 0 not in akki:\n",
        "                    if 21 in ame:\n",
        "                        orgprice=za.iloc[-1,2]\n",
        "                        orprice.append(orgprice)\n",
        "                        exx=(za.iloc[-1,2]+(za.iloc[-1,7]*.25))\n",
        "                        cur_high=avg_ha(exx)\n",
        "                        exxx=cur_high+buy_add\n",
        "                        lim_price=avg_ha(exxx)\n",
        "                        buyprice.append(cur_high) \n",
        "                        limitprice.append(lim_price)\n",
        "                        org_price.append(orgprice)\n",
        "                        print(\"Congrats ! One Limit BUY Order placed Price is\", lim_price , \"and trigger_price is \", cur_high)\n",
        "                        list_buy_symbol=ttradingsymbol\n",
        "                        list_buy_status=\"STATUS\"\n",
        "                        buy_order_info_buy_symbol.append(list_buy_symbol)\n",
        "                        buy_order_info_buy_status.append(list_buy_status)\n",
        "                        buy_order_info_buy_orid.append(kite.place_order(variety=\"regular\",tradingsymbol=ttradingsymbol,quantity=qu,exchange=eexchange,order_type='SL',price=lim_price ,trigger_price=cur_high,transaction_type='BUY',product=productt,tag=\"RSIbuy\"))         \n",
        "                        print(\" BUY ORDER SYMBOL \",buy_order_info_buy_symbol)\n",
        "                        print(\" BUY ORDER STATUS \",buy_order_info_buy_status)\n",
        "                        print(\" BUY ORDER ID IS  \",buy_order_info_buy_orid)\n",
        "                        biiiii=secrets.randbelow(1)\n",
        "                        akki.append(biiiii)\n",
        "                        p=secrets.randbelow(1)\n",
        "                        check.append(p)\n",
        "                    else:\n",
        "                        pass\n",
        "                else:\n",
        "                    pass\n",
        "            if 0 not in bii_by:\n",
        "                if 2 not in firs:\n",
        "                    if za.iloc[-2,6]>= RSI_VAL  and za.iloc[-1,6]<=RSI_VAL:\n",
        "                        rsichec.append(2)\n",
        "                        rsi_condition.append(now_asia)\n",
        "                        fiss=2\n",
        "                        apa=1\n",
        "                        firs.append(fiss)\n",
        "                        inpu.append(apa)\n",
        "                    else:\n",
        "                        pass\n",
        "                if 1 in inpu:\n",
        "                    datalow.append(za.iloc[-1,3])\n",
        "                    datarsi.append(za.iloc[-1,6])\n",
        "                    if za.iloc[-1,6]>=RSI_VAL2:\n",
        "                        print(\" Programe satisfied RSI condition \")\n",
        "                        if za.iloc[-2,2] < za.iloc[-1,2]:\n",
        "                            print(\"High breaks High condition satisfy\")\n",
        "                            high_to_high.append(2)\n",
        "                            beak_high.append(now_asia)\n",
        "                            bii = secrets.randbelow(1)\n",
        "                            bii_by.append(bii)    \n",
        "                        else:\n",
        "                            progrun.append(1)\n",
        "                            bii_by.clear()\n",
        "                            firs.clear()\n",
        "                            inpu.clear()\n",
        "                            datalow.clear()\n",
        "                            datarsi.clear()\n",
        "                            datarsi.append(0)\n",
        "                    else:\n",
        "                        pass\n",
        "                else:\n",
        "                    pass\n",
        "            else:\n",
        "                pass\n",
        "ashi()"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            " \n",
            " \t \t \t \t  ZERODHA RSI 'Relative Strength Index BOT' [5]\n",
            " \n",
            " \t \t \t \t  ZERODHA RSI 'Relative Strength Index BOT'\n",
            "\n",
            " \n",
            "Zerodha RSI BOT start Time              2019-08-31 _ 21:26:07 \n",
            "\n",
            " \n",
            "BOT working succeesfully on time:       2019-08-31 _ 21:27:05 \n",
            "\n",
            " \n",
            "Trading symbol is SBIN Token is 779521 Exchange is NSE RSI condition is 30 30 and profit booking RSI level is 70  \t \n",
            " and product type is MIS Quantity is 1 time frame for Historical Data is minute Starting and Ending Date of Historical Data is 2019-06-05 2019-10-02\n",
            "\n",
            " \n",
            "RSI condition Occured but high Not break 0\n",
            "\n",
            " \n",
            "\n",
            " \n",
            "\n",
            " \n",
            "Current  ATR status is                  0.41822857770302235\n",
            "Current  RSI status is                  50.23005471188229\n",
            "Previous RSI status is                  50.32567294164271\n",
            "Current  HIGH is                        273.6\n",
            "Previous HIGH satus is                  273.6\n",
            "Lowest-Low when enter in RSI Condition  []\n",
            "RSI at ENTRY in Condition Rough detail  0\n",
            "\n",
            " \n",
            "\t  \t \t   BUY & SELL details and Number of Order Placed \n",
            " \n",
            "Orignal Price while placing order is    []\n",
            "BUY bid trigger price is                []\n",
            "BUY bid price is                        []\n",
            "SELL SL trigger price is                []\n",
            "SELL stoploss is price is               []\n",
            "Number of BUY/SELL order till now is                    0\n",
            "Number of time BOT complete RSI profit booking strategy 0\n",
            "Number of time BOT complet with execution of sell bid   0\n",
            "\n",
            " \n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "l9CBD27NRd2P",
        "colab_type": "text"
      },
      "source": [
        "# Analysis of Program"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "OHvkqL7TRd2Q",
        "colab_type": "text"
      },
      "source": [
        "Absolute Analysis ="
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "B9I49ODWRd2S",
        "colab_type": "text"
      },
      "source": [
        "Relative Analysis ="
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "qHy5FNEARd2T",
        "colab_type": "text"
      },
      "source": [
        " * *  *  * * "
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "93oxWfsXRd2U",
        "colab_type": "code",
        "colab": {},
        "outputId": "64942b97-7b7f-4b79-d503-fc6ca1ad1ea4"
      },
      "source": [
        "print(\" \\n \\t \\t \\t \\t \\t ---- ALL THE HOLDINGS YOU HAVE ON THIS ACCOUNT----     \")\n",
        "display(pd.DataFrame(kite.holdings())[[\"tradingsymbol\",\"instrument_token\",\"pnl\",\"average_price\",\"close_price\",\"collateral_quantity\",\"collateral_type\",\"day_change\",\"day_change_percentage\",\"exchange\",\"last_price\",\"isin\",\"price\",\"product\",\"quantity\",\"realised_quantity\",\"t1_quantity\" ]])      \n",
        "print(\" \\n \\t \\t \\t \\t \\t ---- ALL THE POSITONS YOU HAVE ON THIS ACCOUNT----     \")\n",
        "display(pd.DataFrame(kite.positions()[\"net\"])[[\"tradingsymbol\",\"average_price\",\"buy_m2m\",\"buy_price\",\"buy_quantity\",\"buy_value\",\"close_price\",\"sell_m2m\",\"sell_price\",\"sell_quantity\",\"sell_value\",\"unrealised\",\"value\",\"day_buy_price\",\"day_buy_quantity\",\"day_buy_value\",\"day_sell_price\",\"product\",\"quantity\",\"realised\"]].head())\n",
        "print(\" \\n \\t \\t \\t \\t \\t ---- ALL THE ORDERS YOU HAVE ON THIS ACCOUNT----     \")\n",
        "display(pd.DataFrame(kite.orders())[[\"tradingsymbol\",\"transaction_type\",\"order_id\",\"quantity\",\"order_type\",\"exchange_update_timestamp\",'tag',\"quantity\",\"status\"]])"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            " \n",
            " \t \t \t \t \t ---- ALL THE HOLDINGS YOU HAVE ON THIS ACCOUNT----     \n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "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>tradingsymbol</th>\n",
              "      <th>instrument_token</th>\n",
              "      <th>pnl</th>\n",
              "      <th>average_price</th>\n",
              "      <th>close_price</th>\n",
              "      <th>collateral_quantity</th>\n",
              "      <th>collateral_type</th>\n",
              "      <th>day_change</th>\n",
              "      <th>day_change_percentage</th>\n",
              "      <th>exchange</th>\n",
              "      <th>last_price</th>\n",
              "      <th>isin</th>\n",
              "      <th>price</th>\n",
              "      <th>product</th>\n",
              "      <th>quantity</th>\n",
              "      <th>realised_quantity</th>\n",
              "      <th>t1_quantity</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>CRESSAN</td>\n",
              "      <td>131169028</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.200000</td>\n",
              "      <td>0.2</td>\n",
              "      <td>0</td>\n",
              "      <td></td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>BSE</td>\n",
              "      <td>0.20</td>\n",
              "      <td>INE716D01033</td>\n",
              "      <td>0</td>\n",
              "      <td>CNC</td>\n",
              "      <td>0</td>\n",
              "      <td>5</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>IDEA</td>\n",
              "      <td>3677697</td>\n",
              "      <td>-2.510001</td>\n",
              "      <td>11.786667</td>\n",
              "      <td>11.3</td>\n",
              "      <td>0</td>\n",
              "      <td></td>\n",
              "      <td>-0.35</td>\n",
              "      <td>-3.097345</td>\n",
              "      <td>NSE</td>\n",
              "      <td>10.95</td>\n",
              "      <td>INE669E01016</td>\n",
              "      <td>0</td>\n",
              "      <td>CNC</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "  tradingsymbol  instrument_token       pnl  average_price  close_price  \\\n",
              "0       CRESSAN         131169028  0.000000       0.200000          0.2   \n",
              "1          IDEA           3677697 -2.510001      11.786667         11.3   \n",
              "\n",
              "   collateral_quantity collateral_type  day_change  day_change_percentage  \\\n",
              "0                    0                        0.00               0.000000   \n",
              "1                    0                       -0.35              -3.097345   \n",
              "\n",
              "  exchange  last_price          isin  price product  quantity  \\\n",
              "0      BSE        0.20  INE716D01033      0     CNC         0   \n",
              "1      NSE       10.95  INE669E01016      0     CNC         2   \n",
              "\n",
              "   realised_quantity  t1_quantity  \n",
              "0                  5            0  \n",
              "1                  2            1  "
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            " \n",
            " \t \t \t \t \t ---- ALL THE POSITONS YOU HAVE ON THIS ACCOUNT----     \n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "text/html": [
              "<div>\n",
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              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>tradingsymbol</th>\n",
              "      <th>average_price</th>\n",
              "      <th>buy_m2m</th>\n",
              "      <th>buy_price</th>\n",
              "      <th>buy_quantity</th>\n",
              "      <th>buy_value</th>\n",
              "      <th>close_price</th>\n",
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              "      <th>sell_price</th>\n",
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              "      <th>day_buy_quantity</th>\n",
              "      <th>day_buy_value</th>\n",
              "      <th>day_sell_price</th>\n",
              "      <th>product</th>\n",
              "      <th>quantity</th>\n",
              "      <th>realised</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>IDEA</td>\n",
              "      <td>11.2100</td>\n",
              "      <td>11.21</td>\n",
              "      <td>11.2100</td>\n",
              "      <td>1</td>\n",
              "      <td>11.21</td>\n",
              "      <td>0.0000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>-0.31</td>\n",
              "      <td>-11.21</td>\n",
              "      <td>11.21</td>\n",
              "      <td>1</td>\n",
              "      <td>11.21</td>\n",
              "      <td>0.0</td>\n",
              "      <td>CNC</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>EURINR19JULFUT</td>\n",
              "      <td>77.5100</td>\n",
              "      <td>464955.00</td>\n",
              "      <td>77.5100</td>\n",
              "      <td>6</td>\n",
              "      <td>465060.00</td>\n",
              "      <td>77.4925</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>780.00</td>\n",
              "      <td>-465060.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.0</td>\n",
              "      <td>NRML</td>\n",
              "      <td>6</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>GBPINR19JULFUT</td>\n",
              "      <td>85.7900</td>\n",
              "      <td>517215.00</td>\n",
              "      <td>85.7900</td>\n",
              "      <td>6</td>\n",
              "      <td>514740.00</td>\n",
              "      <td>86.2025</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>3990.00</td>\n",
              "      <td>-514740.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.0</td>\n",
              "      <td>NRML</td>\n",
              "      <td>6</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>JPYINR19JULFUT</td>\n",
              "      <td>64.0100</td>\n",
              "      <td>384060.00</td>\n",
              "      <td>64.0100</td>\n",
              "      <td>6</td>\n",
              "      <td>384060.00</td>\n",
              "      <td>64.0100</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>765.00</td>\n",
              "      <td>-384060.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.0</td>\n",
              "      <td>NRML</td>\n",
              "      <td>6</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>USDINR19JULFUT</td>\n",
              "      <td>68.6475</td>\n",
              "      <td>207015.00</td>\n",
              "      <td>68.6475</td>\n",
              "      <td>3</td>\n",
              "      <td>205942.50</td>\n",
              "      <td>69.0050</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1035.00</td>\n",
              "      <td>-205942.50</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.0</td>\n",
              "      <td>NRML</td>\n",
              "      <td>3</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "    tradingsymbol  average_price    buy_m2m  buy_price  buy_quantity  \\\n",
              "0            IDEA        11.2100      11.21    11.2100             1   \n",
              "1  EURINR19JULFUT        77.5100  464955.00    77.5100             6   \n",
              "2  GBPINR19JULFUT        85.7900  517215.00    85.7900             6   \n",
              "3  JPYINR19JULFUT        64.0100  384060.00    64.0100             6   \n",
              "4  USDINR19JULFUT        68.6475  207015.00    68.6475             3   \n",
              "\n",
              "   buy_value  close_price  sell_m2m  sell_price  sell_quantity  sell_value  \\\n",
              "0      11.21       0.0000       0.0         0.0              0         0.0   \n",
              "1  465060.00      77.4925       0.0         0.0              0         0.0   \n",
              "2  514740.00      86.2025       0.0         0.0              0         0.0   \n",
              "3  384060.00      64.0100       0.0         0.0              0         0.0   \n",
              "4  205942.50      69.0050       0.0         0.0              0         0.0   \n",
              "\n",
              "   unrealised      value  day_buy_price  day_buy_quantity  day_buy_value  \\\n",
              "0       -0.31     -11.21          11.21                 1          11.21   \n",
              "1      780.00 -465060.00           0.00                 0           0.00   \n",
              "2     3990.00 -514740.00           0.00                 0           0.00   \n",
              "3      765.00 -384060.00           0.00                 0           0.00   \n",
              "4     1035.00 -205942.50           0.00                 0           0.00   \n",
              "\n",
              "   day_sell_price product  quantity  realised  \n",
              "0             0.0     CNC         1         0  \n",
              "1             0.0    NRML         6         0  \n",
              "2             0.0    NRML         6         0  \n",
              "3             0.0    NRML         6         0  \n",
              "4             0.0    NRML         3         0  "
            ]
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          "metadata": {
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        },
        {
          "output_type": "stream",
          "text": [
            " \n",
            " \t \t \t \t \t ---- ALL THE ORDERS YOU HAVE ON THIS ACCOUNT----     \n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
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              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>tradingsymbol</th>\n",
              "      <th>transaction_type</th>\n",
              "      <th>order_id</th>\n",
              "      <th>quantity</th>\n",
              "      <th>order_type</th>\n",
              "      <th>exchange_update_timestamp</th>\n",
              "      <th>tag</th>\n",
              "      <th>quantity</th>\n",
              "      <th>status</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>SBIN</td>\n",
              "      <td>BUY</td>\n",
              "      <td>190719001131173</td>\n",
              "      <td>1</td>\n",
              "      <td>SL</td>\n",
              "      <td>None</td>\n",
              "      <td>RSIbuy</td>\n",
              "      <td>1</td>\n",
              "      <td>REJECTED</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>SBIN</td>\n",
              "      <td>BUY</td>\n",
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              "      <td>1</td>\n",
              "      <td>SL</td>\n",
              "      <td>None</td>\n",
              "      <td>RSIbuy</td>\n",
              "      <td>1</td>\n",
              "      <td>REJECTED</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>SBIN</td>\n",
              "      <td>BUY</td>\n",
              "      <td>190719001143372</td>\n",
              "      <td>1</td>\n",
              "      <td>SL</td>\n",
              "      <td>None</td>\n",
              "      <td>RSIbuy</td>\n",
              "      <td>1</td>\n",
              "      <td>REJECTED</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>SBIN</td>\n",
              "      <td>BUY</td>\n",
              "      <td>190719001191209</td>\n",
              "      <td>1</td>\n",
              "      <td>SL</td>\n",
              "      <td>None</td>\n",
              "      <td>RSIbuy</td>\n",
              "      <td>1</td>\n",
              "      <td>REJECTED</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>IDEA</td>\n",
              "      <td>BUY</td>\n",
              "      <td>190719001278642</td>\n",
              "      <td>1</td>\n",
              "      <td>SL</td>\n",
              "      <td>2019-07-19 11:24:04</td>\n",
              "      <td>RSIbuy</td>\n",
              "      <td>1</td>\n",
              "      <td>REJECTED</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>ADANIPOWER</td>\n",
              "      <td>BUY</td>\n",
              "      <td>190719001279199</td>\n",
              "      <td>1</td>\n",
              "      <td>SL</td>\n",
              "      <td>2019-07-19 11:24:10</td>\n",
              "      <td>RSIbuy</td>\n",
              "      <td>1</td>\n",
              "      <td>REJECTED</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>IDEA</td>\n",
              "      <td>BUY</td>\n",
              "      <td>190719001322367</td>\n",
              "      <td>1</td>\n",
              "      <td>LIMIT</td>\n",
              "      <td>2019-07-19 11:32:24</td>\n",
              "      <td>RSIbuy</td>\n",
              "      <td>1</td>\n",
              "      <td>COMPLETE</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>SBIN</td>\n",
              "      <td>BUY</td>\n",
              "      <td>190719000730248</td>\n",
              "      <td>1</td>\n",
              "      <td>SL</td>\n",
              "      <td>2019-07-19 11:44:36</td>\n",
              "      <td>RSIbuy</td>\n",
              "      <td>1</td>\n",
              "      <td>CANCELLED</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>IDEA</td>\n",
              "      <td>BUY</td>\n",
              "      <td>190719001368836</td>\n",
              "      <td>1</td>\n",
              "      <td>SL</td>\n",
              "      <td>2019-07-19 11:44:36</td>\n",
              "      <td>None</td>\n",
              "      <td>1</td>\n",
              "      <td>CANCELLED</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>ADANIPOWER</td>\n",
              "      <td>BUY</td>\n",
              "      <td>190719001388194</td>\n",
              "      <td>1</td>\n",
              "      <td>SL</td>\n",
              "      <td>2019-07-19 11:44:36</td>\n",
              "      <td>None</td>\n",
              "      <td>1</td>\n",
              "      <td>CANCELLED</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>10</th>\n",
              "      <td>ADANIPOWER</td>\n",
              "      <td>BUY</td>\n",
              "      <td>190719001393518</td>\n",
              "      <td>1</td>\n",
              "      <td>SL</td>\n",
              "      <td>2019-07-19 11:44:36</td>\n",
              "      <td>None</td>\n",
              "      <td>1</td>\n",
              "      <td>CANCELLED</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>11</th>\n",
              "      <td>IDEA</td>\n",
              "      <td>BUY</td>\n",
              "      <td>190719001691092</td>\n",
              "      <td>1</td>\n",
              "      <td>SL</td>\n",
              "      <td>None</td>\n",
              "      <td>None</td>\n",
              "      <td>1</td>\n",
              "      <td>REJECTED</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12</th>\n",
              "      <td>IDEA</td>\n",
              "      <td>BUY</td>\n",
              "      <td>190719001700301</td>\n",
              "      <td>1</td>\n",
              "      <td>SL</td>\n",
              "      <td>None</td>\n",
              "      <td>None</td>\n",
              "      <td>1</td>\n",
              "      <td>REJECTED</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>13</th>\n",
              "      <td>IDEA</td>\n",
              "      <td>BUY</td>\n",
              "      <td>190719001697624</td>\n",
              "      <td>1</td>\n",
              "      <td>SL</td>\n",
              "      <td>2019-07-19 12:54:45</td>\n",
              "      <td>None</td>\n",
              "      <td>1</td>\n",
              "      <td>CANCELLED</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14</th>\n",
              "      <td>ADANIPOWER</td>\n",
              "      <td>BUY</td>\n",
              "      <td>190719001706115</td>\n",
              "      <td>1</td>\n",
              "      <td>SL</td>\n",
              "      <td>2019-07-19 12:54:45</td>\n",
              "      <td>None</td>\n",
              "      <td>1</td>\n",
              "      <td>CANCELLED</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>15</th>\n",
              "      <td>ADANIPOWER</td>\n",
              "      <td>BUY</td>\n",
              "      <td>190719001709108</td>\n",
              "      <td>1</td>\n",
              "      <td>SL</td>\n",
              "      <td>2019-07-19 12:54:45</td>\n",
              "      <td>None</td>\n",
              "      <td>1</td>\n",
              "      <td>CANCELLED</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>16</th>\n",
              "      <td>ADANIPOWER</td>\n",
              "      <td>BUY</td>\n",
              "      <td>190719001711914</td>\n",
              "      <td>1</td>\n",
              "      <td>SL</td>\n",
              "      <td>2019-07-19 12:54:45</td>\n",
              "      <td>None</td>\n",
              "      <td>1</td>\n",
              "      <td>CANCELLED</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>17</th>\n",
              "      <td>ADANIPOWER</td>\n",
              "      <td>BUY</td>\n",
              "      <td>190719001725812</td>\n",
              "      <td>1</td>\n",
              "      <td>SL</td>\n",
              "      <td>2019-07-19 12:54:45</td>\n",
              "      <td>None</td>\n",
              "      <td>1</td>\n",
              "      <td>CANCELLED</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>18</th>\n",
              "      <td>IDEA</td>\n",
              "      <td>BUY</td>\n",
              "      <td>190719001759893</td>\n",
              "      <td>1</td>\n",
              "      <td>SL</td>\n",
              "      <td>None</td>\n",
              "      <td>None</td>\n",
              "      <td>1</td>\n",
              "      <td>REJECTED</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>19</th>\n",
              "      <td>IDEA</td>\n",
              "      <td>BUY</td>\n",
              "      <td>190719001782460</td>\n",
              "      <td>1</td>\n",
              "      <td>SL</td>\n",
              "      <td>None</td>\n",
              "      <td>None</td>\n",
              "      <td>1</td>\n",
              "      <td>REJECTED</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>20</th>\n",
              "      <td>CRESSAN</td>\n",
              "      <td>SELL</td>\n",
              "      <td>190719001731860</td>\n",
              "      <td>5</td>\n",
              "      <td>LIMIT</td>\n",
              "      <td>2019-07-19 12:55:01</td>\n",
              "      <td>None</td>\n",
              "      <td>5</td>\n",
              "      <td>OPEN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>21</th>\n",
              "      <td>ADANIPOWER</td>\n",
              "      <td>BUY</td>\n",
              "      <td>190719002505971</td>\n",
              "      <td>1</td>\n",
              "      <td>MARKET</td>\n",
              "      <td>2019-07-19 15:12:10</td>\n",
              "      <td>None</td>\n",
              "      <td>1</td>\n",
              "      <td>COMPLETE</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>22</th>\n",
              "      <td>ADANIPOWER</td>\n",
              "      <td>BUY</td>\n",
              "      <td>190719002150751</td>\n",
              "      <td>1</td>\n",
              "      <td>SL</td>\n",
              "      <td>2019-07-19 15:12:35</td>\n",
              "      <td>None</td>\n",
              "      <td>1</td>\n",
              "      <td>CANCELLED</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>23</th>\n",
              "      <td>ADANIPOWER</td>\n",
              "      <td>SELL</td>\n",
              "      <td>190719002521645</td>\n",
              "      <td>1</td>\n",
              "      <td>MARKET</td>\n",
              "      <td>2019-07-19 15:14:33</td>\n",
              "      <td>None</td>\n",
              "      <td>1</td>\n",
              "      <td>COMPLETE</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "   tradingsymbol transaction_type         order_id  quantity order_type  \\\n",
              "0           SBIN              BUY  190719001131173         1         SL   \n",
              "1           SBIN              BUY  190719001136838         1         SL   \n",
              "2           SBIN              BUY  190719001143372         1         SL   \n",
              "3           SBIN              BUY  190719001191209         1         SL   \n",
              "4           IDEA              BUY  190719001278642         1         SL   \n",
              "5     ADANIPOWER              BUY  190719001279199         1         SL   \n",
              "6           IDEA              BUY  190719001322367         1      LIMIT   \n",
              "7           SBIN              BUY  190719000730248         1         SL   \n",
              "8           IDEA              BUY  190719001368836         1         SL   \n",
              "9     ADANIPOWER              BUY  190719001388194         1         SL   \n",
              "10    ADANIPOWER              BUY  190719001393518         1         SL   \n",
              "11          IDEA              BUY  190719001691092         1         SL   \n",
              "12          IDEA              BUY  190719001700301         1         SL   \n",
              "13          IDEA              BUY  190719001697624         1         SL   \n",
              "14    ADANIPOWER              BUY  190719001706115         1         SL   \n",
              "15    ADANIPOWER              BUY  190719001709108         1         SL   \n",
              "16    ADANIPOWER              BUY  190719001711914         1         SL   \n",
              "17    ADANIPOWER              BUY  190719001725812         1         SL   \n",
              "18          IDEA              BUY  190719001759893         1         SL   \n",
              "19          IDEA              BUY  190719001782460         1         SL   \n",
              "20       CRESSAN             SELL  190719001731860         5      LIMIT   \n",
              "21    ADANIPOWER              BUY  190719002505971         1     MARKET   \n",
              "22    ADANIPOWER              BUY  190719002150751         1         SL   \n",
              "23    ADANIPOWER             SELL  190719002521645         1     MARKET   \n",
              "\n",
              "   exchange_update_timestamp     tag  quantity     status  \n",
              "0                       None  RSIbuy         1   REJECTED  \n",
              "1                       None  RSIbuy         1   REJECTED  \n",
              "2                       None  RSIbuy         1   REJECTED  \n",
              "3                       None  RSIbuy         1   REJECTED  \n",
              "4        2019-07-19 11:24:04  RSIbuy         1   REJECTED  \n",
              "5        2019-07-19 11:24:10  RSIbuy         1   REJECTED  \n",
              "6        2019-07-19 11:32:24  RSIbuy         1   COMPLETE  \n",
              "7        2019-07-19 11:44:36  RSIbuy         1  CANCELLED  \n",
              "8        2019-07-19 11:44:36    None         1  CANCELLED  \n",
              "9        2019-07-19 11:44:36    None         1  CANCELLED  \n",
              "10       2019-07-19 11:44:36    None         1  CANCELLED  \n",
              "11                      None    None         1   REJECTED  \n",
              "12                      None    None         1   REJECTED  \n",
              "13       2019-07-19 12:54:45    None         1  CANCELLED  \n",
              "14       2019-07-19 12:54:45    None         1  CANCELLED  \n",
              "15       2019-07-19 12:54:45    None         1  CANCELLED  \n",
              "16       2019-07-19 12:54:45    None         1  CANCELLED  \n",
              "17       2019-07-19 12:54:45    None         1  CANCELLED  \n",
              "18                      None    None         1   REJECTED  \n",
              "19                      None    None         1   REJECTED  \n",
              "20       2019-07-19 12:55:01    None         5       OPEN  \n",
              "21       2019-07-19 15:12:10    None         1   COMPLETE  \n",
              "22       2019-07-19 15:12:35    None         1  CANCELLED  \n",
              "23       2019-07-19 15:14:33    None         1   COMPLETE  "
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "LBh_KuEqRd2b",
        "colab_type": "text"
      },
      "source": [
        "* * * * * "
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "pbcUFQSHRd2d",
        "colab_type": "text"
      },
      "source": [
        "# Program output when an order is placed "
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "05BKCAJdRd2f",
        "colab_type": "text"
      },
      "source": [
        "* * * * * "
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "xnjFY3TPRd2h",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "from PIL import Image\n",
        "img  = Image.open(\"C://Users//ashish//Desktop//uplod/order_information.jpg\")"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "jQmcECmBRd2n",
        "colab_type": "text"
      },
      "source": [
        "* * * * * "
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "d9HfvPPHRd2q",
        "colab_type": "code",
        "colab": {},
        "outputId": "48228387-4f20-4245-a3fa-2ed6502a11d8"
      },
      "source": [
        "img"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "image/png": 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mmmuuOfPMM3/3u9/19PQoVl78iOwprIqstUprDy+Q1KZnn3324089+bOzfjLi8bEmX3kVbXzt+X6NW0Fr3oS2rdCLH3qRyrxOo17uq2HtW00deTHXnbYOW9JhzTsw7Cyvbiz4i/1tXY5AHeFp0k4fVV5a52BEa+QBHfmk68JBvffcdsYtL3TtrxS/QrwPgeojX2CXCHbRxb8swkDaBFo5NTJvI25p7HfoYdW4xlmiBEuXD/76qpv6Gy1TUalI3Ne3MmlMrK5iREAEjggVeIZAHEgHtsdrp3cholLeIyJrbRgPA/MJ8QkhTLakVeWwOewn1hy1RvyTiFhrgxK39rwQIi7CFg1KoNMXly7KKDn4Ta+Pe8bA1NEzGajkPlKMDbIGWq9s2ngpWfjQi7f9aYP37Nc5vpdK3mWXXbZ69eojjjhCa71q1aqf//znb3vb26ZPnw5wnuePPvroww8//KY3vamnp2fZsmWXXXbZbrvtFsfxlVdeuXjx4o022ugd73jHjBkzvPe33HLLokWLDjzwwPArgEWLFl133XW77rrrlClTfvnLXy5durTRaJx11lkbbLDBm9/85jiOReTee++96aabXnrppS222OLwww+fOXNmeLS///3vp06dutlmm/3iF7/YZpttDjnkEOLhYlIx6wDe+0qlYq197LHHxowZMzg4qLXO2IUdcmcjZax4xWyd1WsdZ6hLETyyqBr397/kHKJC73MiEsiPiA8TuKzFJv7iHKlZO3GGFGkW71lBKcUC+FAueA03OZFRyd9oLIFElDGNpN97H8exE++c00ok2GClqO4rkFC+mEeZQEWEQFmWJUlSqVSIKJDmkD48HGAYbwjKnydvnYt17PBqlK7kCuW1dDIPjEQjRv51LZ4hwYm3vVwhomILRuAoI24Z8XTDGtl50nVkJOUROs84IndcLyo82nfXZc+178OwRmIdmN9oN3D4c1mj0xbsj4ilTdOJSMSVX/feW2uVGTXef91pdxdddPHPBGnjmeVy5z13zn/qqWXNRCq9LUuulfYqds1mmrKTSMWVVY3BPqVWpsmyZj9az4tXcdTX17MB6yjwPNKM4PtWuPQPFXEoffvKsSvEKiilgi04SGAvv/zynXfe+Y53vKNs2LChdbRxspxQSn6Z53mapkHwKqewzm+VhmDO0NPyY1dkG+4+5/h4o/3tuJ382C2c7hNtiJ0QbKUnHzcdG+1a2fs9k1934sKFC4O34DCKOnfu3DvvvDvPnQjlufvTn/7c3z8Y0uZprRcvXjx37tzBwcHAgufOnXvTTTedeeaZg4OD06dPv/feez/3uc/Nnz8fQE9Pzx//+MeHHnpI2g5811577S233FKv1xuNxrJly1asWNFqtV5++eWVK1fmee69v/TSS3/wgx8opXbffffHH3/81FNPXbhwIYAsyxYuXHjPPfd85StfefTRRwPjJoLAe+9IQCRUxO6QiLAyXviKq6/Zabc9b73nnnpf359uu+30H33nU594q84fvO6q8488/vgjP3qiYh6j47PP/E1TuAW2ePnDHznURKoeRzVWp//wMu2rsbVsW8n4cS9V0AAi+EhSxcthn9tl2+mxrqrKRkccc4LinOzjv7/6D7MPe/vzNhX0c7Oxz8Y7P3DZzdxY9edLL3zfBz/4vuNOMhVlIvXNn5y/iFlhmXL2D1f+kWJV6TEfeO+RcT4mS5Q3A4l+6b/O+bJWVGeqGPrAhz864LDs/nkTx094evXyVCVOll599e/3PuDQhle5UEZZk1opt9i3bv79JRVtVE8v9e288NGFdVk1XporVjWOPv7k3jFjI1X57rkXD3oQA2nr+QeejHlixD1xzL+99VE44iznhP5w6S2KeivEY3qq819cvRjoV5V6vRXJ88DKb597FveNv3fBU+QUD+R7z9y8wjFFvUd87FP9ivszC5e7F1/cbuKGfdUxZvL0+QN4SU8gn4BcSgQiynMS64iWk6xkOALSjBwxsWcW58nllPUzeeRS5Jd0XhzlaQYkRE2XDXiXM8N7K55FWFnWVpBlgBciAbmcyAO50mAi65HkaDnk3lsGcdbkloejhGSABkGOPTNxQkmLkiRLKSNyQr6VkyREDE+wmeSeIQQFxcLw7FilSolSJMxWWEDwjn1OzlKeU+LJWScgspQ7anlqCsETWWGQUooKt1FhEGXeCbx3ubOZJ8qY+9kl7AQJ+4RtzknOxAlziygHwQvllsSKzxDeBMBa7yGW4ViIPSEnn5MFCZGQc2K9A7nct0CW2DF7EWd97uEcwTJbYrJPilvlma1TipRzuUNDqElwZMkJ5USAJ98kn5InYW8phyJHbIVyZ4FUbCs8VuvzDE2H3GY5Z6xFE3Km3FJDlGMlLJ7B8OIIKZBDZbkA8D4XBkUxyUCeNTOiAU+ZEJFQEAvDf1Jo121y+g9Ya7uLLrpYZ4RkxSiqtDkU9qki5NJ5AA7IiBKlVrP+w42P/fHOJU+tGvtiOm7xKr9qIBtsyMvL8xcGZIl1TUrhByfoVk/r5Yn0ch+en5TdN7Z1Vb35B27dBTcA1kI5kACAwAvaedBgCU0KEQKOSBhEnuDFw+UsLcCT0gBhZZVfHGg984pNl7HKYcEtpQZZmuJJAkNhm3OWKzUAlTM76Se/jLlJ3gpzw0lKNMicsffUfOa5Ry+78rcZfENIQnwCckgGeFvepGA4FeRG8+zttnbwnqAUIFZJTj4xlGmVa3ZaCRQjruoxEzfeeOMoiojIdXjIMXOe50FsDAvuOI6zLCtZZ8htGEhulmXGmDvvvPPd7373qaeeevzxx5922mnGmPPOO29wcHDnnXeeMmXKww8/3Gg0AKxevfqxxx6bNm3azJkzN9tss89//vM777zzTjvtdNppp33kIx+JomjJkiXXX3/9u971rk9/+tPvfOc7v/rVr9br9RtvvDHP82q1aoyZO3fuNtts893vfveQQw4JKg6CSEDFbWj3mUBncdhhh915110777prM0/333+/3OekPJwl6F/97IJ3/Pu7vM/uve+uz3765Gcf7zeCjx77IaPjLB8YbDUvv/SSL3z+K08+/hRcLj6HWG+LaF/xCoiO/chJJ3z8k6sHB1rJskpszjzze3BZpJTW2pPJibxYipVjB0qclov/+7/f8vZ35lk2744/n/apTy9/zKHfX3fFFe993zufW/7MiubL2++124JFC+IoQoYzvvndP115pfWDzXT5vfPu+NWvf3/TTY9P2XjqjI02eOCBB3IYqHG/+v0Vp57+5dAJYqHIuwrUkw8/ccRRR7+49OWVzcatd9y09967otlvSR68d94RxxwzODg478H7PnfyJ5e/uMI3Wk89cu8e++y2YsWq1DWfX7z4/Ud98OlFT8OuWvjEvPe8750rW4ODibvt9rt223kH20BPrHzGhDHf/s4PL7vsipX9y3fdesM8W7XdDrO/95OfJS1r00E3mF3wswvqMb344qKtd939zJ9elLTS22+58eKzvq7ilvcutNY7J3n6k7PPfGrh4wasQ+k5TXBJltvcgo2GYqoYeMsRAS7NWr//wyWsEFViIhaBjmpXXXk1k6lE9XHjJj2x4AUk9pTPnJJ75yAEcTZXJCDoCNY7gnYeClqBivD0Bp/8yePBmQJH6PWO4FvwCSG23lRiDZ0jd7mrhWXgIw8+cM455xhWhWBKCIm/H3/siaefeMJaRwoePkiNGqydNRDlxXpPmhMrDC3eKTB5p3IYB8XIbJ4LHHDfg4+ede6PIqXztMVMSikBMu8jGI+cYCE5JBWyv/rdpQxEAHlLzNDGW5Ayic2sy1yeagVF7JzzUIlzoODFAp87QLQOniJsVMULCdh7iAiDKHiuekckkN5r/nT9tddeo5XAiTGxo57MRi7LQFYxICBS8EqS/LJLf6O8xKxzIEfQVz0ANgYKzQxKxxHptDWojYGG9+KdA2DIKIiIFfLWpQDEigIMIYp0q5Uym2uuufqGG669+g9/uP322zOLSIXXfE16N1z465K/Lrr4P44R84OFsZcoGK0A5A7PP7/k8eefQTWyUYSolnqd2KiZRTn1RdUprTzOUWklzjknyCtV5dHKW42IQT4dXLU8ZMYQIpAqcuEW3vwh4bMo2DXa0DHaMEAEl+fwQFwxxvTU6yLwQgy2afqlU0/dc689P/CB4xqNVpZn73zHv++8++7f+945t9w+Vylz6qlf3n/vvY/94DFe8NRTT138q99ooutvuP622277+c9//p3vfOfOO+/UZXGuUVy8WInXEMlSHTMrgIRYQAJvIQ7iAO9FLEjIIKqGXCel5lf6Jwbza57nzFwmLQycD+2gjTzPA3EkosmTJ++zzz55nlcqlc0222znnXd++eWXX3rpJWZ+wxve8NBDD/X39wN47LHHVqxYsf/++xtjmFlr3Ww2RSQcPIqihx56KIqinXbaCYDWuq+vb/fdd1+4cGF/f3+WZWmaOuc+8IEP1Ov1YerrUIcAQGClrLVE0IprtVpPTz3LnfdSGVPJXArDkantesDrdtvnNTnsllttusXGU1959ukoz3/yk5+cdc5PQBVWZsddtp8waYZSNYh4n6WN/roO6ZxZiJMUJupLM1+tRmnqf3TuOZ/42CfgsyxPBputnNihyrVqww061YJrkVG77r/fnvu/xsLssO2O206emi9aCK5f8uvffvuMb9V6xqQwHzruuM1mbByLY6qe8h+nXnv1VTZvIjLbbLvD1EkbGp8jske//12XXfaHwRa9siy/4/YHttxyc2WsQxOSG9KUyre/debXvv6tcePGGdidth338qqXUFNW/G6HvG6n3XfJIVtuMnOHTTdd9MB9bFf/4Jxv/Payi1VVecaEyRuce9Y53/3O1+FWffe7X/rGt76SAIh5m+13WLn0hQ3q8IMDRqq//vXVX/rKdy659CoFUPLsDTf/cedDD97x3w70Gsrj+6f/17nf/Eb/8oX3P3rX9J122OmQ12WMnbfa7LNf+JjiBpuKdaQBJkeUaWVdlnoPAkgc7CCkZYxSGg0rqYfzuRUrECt2+YoVjz7+2ECSeYGAvMdVV/3xT3+6wXuX5/nDD8x/8xvf0upvpEk+0GyBRWCNsoxU8laWtVirzMFQVfvIZUTCmXeo1oiRpANWrHgoUnAW3mmwhiYIJIXSbJACg9KcvdPOx5/wMXjRUCSw3oqG9f62m26MwLFi7z0Z7cSzUi7POW8hbSlSmqMcgKZWkmqORTxsBmcpy32SsY4tqxzYdqdtjzvuw95mkdJ5q+kdCIiYCRJ7YQY4hbIrWoMLnny6mcEmrxiyyDKbOopM05HSkVGk4ZAmcBZKW8CyFmjXTKHIS+YlA6zLbZYBYGdVIHwiEjguiYAsw67s97fcPvewf9tXUROuYR0ywGujohrEictzL14Ajh546KGly1+BIwg7cEpIBcwMm/o0sx46hhUhoGZiAFYhiwlMWZoyyKUtQk7stFFCMIo5h0sBQMXVJPc+95TbQ9/4xoULn2o0BxMHxSBmESttxwUpp4IuuujinwMd9eaH08DCUAkASmHlquWeOfF+Rf/A6kYC1uK9IS9Za2DV0r6Kca2VsfT3oH9yPdt5yylVGYBdTRj0diDPVsElgCcKPuHiCA6+XdlBGJaRrXn28IMATjNLBNYKRMit0VGr1TIMghao226/fcutt7jrrtuPOPJdf7j093ffeccJJ5x47913r1q1GqAbb7h5q622uvHmm9/xjrf95le/jLUxxqRZRkRKmfe//5hPfOLkvfbaSxFEoJSySQYfDGFrNIe1j+CYlEGah7vjYCwZmF7oukdkyTiKPFTm4TzKdMeBzFE7S02WWQBRFIlIkiRpmlar1ZDbzzlXq9VK1hU8HMePH1/mdgaw9dZbp2m6cuVKa+2uu+46duzYW265JcuyRYsWee8POOCAEK6R57mIhJCR8MUXXnjhueeeO/nkk4844oi3v/3t73nPey6//PKoDa31lClTQoRLZ7WPwgQ+lHWPAGitQxv7+/tJYK1lphUDK1KfQHEzybNcwVATiYqlQrlpNSEOufOOvv6d76m4MnX6ZsufWWIzB6WqtbhWq1gHDaR5TmQqcc+xxxz3yU98qlKJ3/DGwzzBOgXDniWqV4UpgW8mSVwhsS1EyL1zxE4j9YBQHc6sWob+Vx548N6NNtrYQhvUY8RzXrNnJBnSJpwTXb38zzeQ6jO69vxTT4zVHjHtO+e1Tz/xeJXM0udWve6Aw6dNnGDgTIhj9h6EO+++a9bmWylSFW9jBfhBsM+Zc1KioEBVBW40xxCQrJ5753Wve/2beydOqOreWiU+5oi3kliQ3Hzz9VtuPUtF8IC1tsLQQG/ce/0NNx911AeOet8HtKowCC595JFHLvzN76qTJqiaiaLa5tOnr1789BhqPvzgbZO2mNmoo8lQyPfcbmuTJKkUNk7yFtmAQqpZDEMDTHh5yaLNNp1qIo515eY7786VPuYDH+wdM17Fle98/8zPfuGLXzv9tJ+dd74DBJRb/6c//en000+HBRFmzJz0+Py7qz1jqnH1e2eeXalUJkwa0xpYiXzg+I+8v7evFtdrTz7xDHs8cs/jfXFfvdpz3PEfhVjvI/jqNVddueHkSa8sXvqZ4z93zLs+FDHN2X/PPHMLHlqk41hX+/Y76BCi2t0PzDvzzDNdao858n2bztzExNH+B8+56+47Tjr+o/vsttuyl5Ycf+IJjy96EkoB0EqvePm52TM3rXFFs7n21jtaQFypei+XXXH5d8/4r76q2XTqpMWLF9cnTKiPHbdg4XMPLnjynHN/qCDHH330VpttXqlU9t3/EJfhCyd/Jl/dD9u6/IrfX3fbnz900glf+erXfvrT31Uit/M2s2qVeNIGU5eutk5RKk4kW71k8ZYbbxgbU6tWrrzx+pzUpVde3TNm/Pi+vq+f/rVFC5/I89b222/f2zM2iic8+/wS5wQcsntyGO4UeUZ6421z/+3w1+dZ0njp+W1nTo/jqK8y4Yrr7kCOTx33MZsmWsn3zv7Ow/PuPvZDHzn2wyfec9W1D99zf0+lPr5nwuve+LZGc+CxRx7u6+kxpjpu0owVq/pfefnlmdOmaiZTrV92+13/9e1v3XHHHchdMjjwzne8tZmsfu/7j4iiytjqhCcfeUIr3H/fo3GlZ8L4yQ/Muz9igvd77r3Xr371K+/hgOAoQkMOH0Olmrrooov/86Ah5W8N5jcUFYHgIS9A1kqaq/olyStajalw7FaMpZe3m5q+db/J75mz4aG7REfN2fCIfScefchGX/nwQdtt4PrSxRE3YVe5fFkcpZKvBnJACUTIe/JS5ChT8ETCKhic1xpgGKhEOsuEtIYDoPIsi5TWABGs8y+99PJee+2V5cl222+9bOmLTz7x2EYbTmXBnP3n2FSef/6FAw88CMBue+z+3HPP5TZtDA7ERldM1Gq1ACilCOTbUqOOY3CoUTysGcxF2hAl4NJMrgQMUgIt7ehRYXgewX27CETQOjAza22tVqvVaqtWrQo7KKVWrVoV3AyzLNNaa60DTXTOOeeSJEmSxBijlNJajx07dosttrj55pudcwsWLHjNa15TqVTQzucSPgSbcjAiT58+/dhjjz3llFP+8z//8wtf+MKpp5565JFHxnE8ODhY0r7A9pIkQYfNt3gqbTd/ay3IW+drtZq1tqcaixdTNdV6Dc5HUc2LygWAslnTNVfXJEez8ePvnlmrT77q6j83W+my5U9vNHVaxMo1Gq0kU7rSypADxtSIGIndcbfdm0nr2WeeeOTRh2pR/UMnfgomSsV57xkgSKSZROq1CEkauFlqAQYi0+xfNbZuEGWNpKW4pqVOiJRosjZPVgONP113pan0vevI45YPtERk1sZT7MArQLTjTrsseX7Rc08tvPGGG97+5rcbgYgjaC/GeyeUC1mQwEFlIf0MQXPmXOo8GA4peVS81MHQ8OQuveZXi5e8tNoOtJJkYNWzZ3z3v5BztW9yq5WKTTVsxXCeI7fIMvRWKksWP33T9dfcfsttXgAfmajvTe9535MvPj+Q9afSXJUsf6l/uaqb3ipHMTeAHMjhGquaVdQzLwJYB8Ah9iyp2NxZBEE5aa5a+OT8RmP13AceOv/ii59dumzjTbZasaqZpPlHT/jkqV89/aSTP3Pc8R/2hCTP4jjK8jyKNJTA53AQARwWL35xvwP2byTZf3zu0/Puue2Gay7bZYdtWmn/KytXHH3MsctfSo896sMLHno8y1q5d4/Ovw8UXfK7a19e8uKyZU+NG9t37x1PfOmUr3s7+Na3HnTjDbe++9+Pe/yxZ/uTZSd96oRzfvoLrlTAypB6eN4DN/z5z7mzm2652QZTNzjr+9+77447Jk+efPbZZ26y6ayGS/M8h9DK1cseWfhYs9W666EHL/zVrxq5eMCzEqMeX/REf7rqRz855+gPf+CZpUt+cemlV113XeqzuGJsM5l393233nhzs5nMnj378QWPae8pzZBnOlIp/Pd/cM7HT/nssce+/Yff+uqZ3/5GM88fnf/EBz58QuLBpInklRcXP/7Uk2nSuuf+B39z6RVLVqw674ILmo1k+dJlf/zjVSD7ve999xOf+MTgYP/Cp577wudPTbKQL0pBIFKMI4LsltvnbrXV1lrrl55/4dHH5rey9Kb5D19y+ZUugXYcRVEqSdQbV+qV888//+yzzt1tn9ce/+Hj73t0wUuDy4/54Acu/uUvb7nlpkcffTB3raVLnx3XN2bFK8sXLlxoxc195JFf/P53Bx88578v+qXP7fk/O++4j3zw+huu3WuvPVqN5sqVyz/4gWOXvbTixBNOWvLCsuXLV7z4wgt5lkDx+PHjX3zpJaUggDFKtfM9iQDwnTrBP2QR9i666OKvRxn3V2r8BDBBA5pVRTQyq/IMySsmff7Yd+z8nx/Z6z37xu/djz76uuqHD45PPLzvbbvIVuMX96bzo9YToH6g37l+kQZRK2RCE5BvLyUBhhAEJIrRLmM2RDaK0cYDUURwDkwwMZMW5zMbUrmZCRMm3nPP3cbwggUPT5o0fvr06SuWL1eEBY/OHzNmzIYbTr35ltus9w8+8vCMGTPgZdyYsZp4wYIFxhgIMzNEXOaYkGWZtc57ZHk2LDqTM4LVPnEtidjCOwgBBqAcyKzyufE5w4YsIh5FrprwsyzU4T2IqFarJUkScnYAaDQaeZ4Hs+/KlStDyr0oivI8z/P8xRdfLB0HK5XK/PnzmXn69Okhdct22203ODh4xx13LFq06PDDDw+kLaQDDOXdgmRojNlyyy1Xrly57bbbbrvttttvv/0222yz/fbbb7755saYvr6+UFY4hL2EYF5qO3u3u0aRECVUnLPWKsXWZQAGW0mkiEGtNANHaZLHJrICC8+Gx/RWlEvRaPzmV7+7f94Df77uGii0koa2LQ2n6vWo2tdo2d4qMg8HwAuMhveAbDBp4gsvPH/XI49e9Ks/rBhoKRVXIDpzNSitOcuT1HlUepNMarWaCHJA8qw+tqfZ6oeRvfd6zaInFiuQiGR5fsc986J6DJX+6pcXXnvlH1e9tKJmKlnaqI2pUoURTQTMx455/3XX/uG/L7148122cYQaVYLFjHVMLt9zzx0XPr0AAHTFesATVGQqVXK2SqjCIHcKKk0ddG2P1+z/8GNP9vREGmARBUSVGszY7Xbc6/lFz/dGrJGQy5SBZ0Cb3fbcZWyf/vY3Tn3PO98xMABUx02bufniRx+bZirG2hy+ZZBrA6puOWu7Rfc/OMYjAhQqz724MrNGKW09tAIUwTsRqVWr7GEUnLUzNp91/EnHV+tj9t51J1J6/ORJfb2Te+oTYu752U8vrFZ7oriWWeReIhMnLqv3VJJ0EJJDeVDy5FNPILGbbjpr+512bEmy7bZbt5LGoqef+OTJX4rjvrH13gceeHDpy8v32eu1M6ZtlLXsD37wg2122P6aP/35A0cfBe/gvTKV3XbZfeMZMyRLD9x/vycWPHbAnIOmz9gQ0DM22eShhx5yIOuRZ3a/ffedPn2ah9966y2zLCFn2TvYTIgsJFKxNgbgzbbf4sMf+kBPrbrHrrs7hjGUO3hRTqnD3v56h6av0Ovf+mavzITJG+g4MrHqbwwq0ofMed2GU6azVrNnb12NWcOx92BjPVvWg0mqjAbhyQUPv+mN760as9H0ja+66qpG4nN4eL/Z9tv+x4nHV+PqbtttJyJLXl52yL8dKiLi/FHvPSJttXp6el772teCMX58fdGiZ7MsC299eIeCu4uItTlCHe9Zu2x/0gkfi3V1/532Ik9KoxJLnrWYqrlUPEcCF6kc4D333HPmtI2dw5Zbb3X3/fe96e1v3es1+0QcbzBuI5tkM2bMOPGTHyel9t51N2K9y447ViqVV1as+sMVV+6++64LH19w0gkn99X7qrUxjz/15GNPLpi+0UYbTKgqjze8/k3VegXMSqmnn37aWljrc5sDCC94O6S7NP9Kl/110cU/IUI+r84kKQAD1dgIkxBy24JrHbDHtjvMrNRa8/vSB/rS+2vNu6KBW03/7VU7TwbuV3ie49U+H4DyYEmzBiIGMhQ5MEAggiKootibB8FIZ1GDobN3NkXBirU488wz99v3wF12ec1//ud/HnTI6+bNu/81r3nNeT/76ZFHvPuQg+d84/TTd915j0ULn0qbrQMPOOiRhxccMOfgn1/wize94Y1bb73lj35wzp577PbQgw9WourYseN//MMfz507NzLKC5RS2hhWqqxeUYJTiAV0pFu+4dAUJEAmzhdRcORBVksrQtMgo7xZVuMI33fOEamQpcY5FxIV1mq16dOnX3HFFc1mM03T+fPn33TTTaGMMYBA3V588cXrrrsuy7KBgYE77rjjwQcf3GabbaZMmcLMWZbtueee48aNu+iii2bOnNnX11cmrYnjWGv95JNPrl69Ok1Ta+1OO+2ktT7vvPMajUaj0UiSpL+/v9FohJLJoamBAhbhySh0vlKMFREvpJTKnTXGEGCMcc5Votg6QU6RqsGperUKn7EHQTknjeaANoCJly8ffHnJckVwmTvkkENeWPKkUgSvB/rTnrieWZCAwfAeWfLJYz94/g/O9t4z1B//+Md3v/vdY3unbTF91kM33Zy8/BLnzT9de/X8Rc+5Sk04El1pNgdjDQPkzqbOI9Lg+JTPfP6UT3+22d9QZH/w0x/e//SCARuEWXrx6edrjApw3HEfuf/R+Q3yzmkk6g0HHPyFz3160+1n8HjtALGkoAGFTKD0f3zqpM99/tP9/auF8fLSxqxNtnn+yRez1EfwksDlKUzNQVGlDq4dd9LnT/ncl+fPf5o8lPijjv7A2T/4CWr1kz72yVM/98Xm8kFJfGNgcKPpm89/8kVLOVig9eGHvu5tbz78syef1NLjD3v965MXnj3vm9+KueLAV9x06y4HHdpQ4w466N9XL3zh6ZvuqFk8uODRU77wn3kw+Ia+5ixYpw6NwVak4Cy0jn/64/M+9elTXN686Y7bFcEAnzzpY43B1c1s8IILLliyZAngmUFEDmKU2XPvvb74xc+DAbErVix//Rte98Lzzw82GkprTRyChGZsvMn3v/+VVqs/ye3AwLJZs6bee+89AkSxPvvss//4xxtfd+icVf0vzZs3b+FTL8Djrntvfeml50nXb77pzlmbz7z9juufeeZFm6mlLy2bvc1M4mLxF1Y+Ifgd3mmtNBOICQLAwgIMa8/68bmfOfUL/Uly97331XQUA945Ikpz5yCIjIuUV8rmtl6puiTJbatSibxHmjqKq0rRYNIvSAcHVryyfCkEC+Y/BTFaRwRnCNtuO/uyy37eyrNMVq/of76vxhUoiFz04x9/8lMnt9LBux96QIM2nrrhn669mg0DOP+8C+r1ntWrV998881EWL06mTFjRvDBlXaaJBTpe9gQR9rkrvnTc8/8j1O/NJAlf7rlLiOSp6vvnndrM2k0nNx934JcoriivV0JpW6/Y+5zTy2sMpa8sHjLbbeZMGXDxS+84G36y/PPO/+nP77wol8c97GTWk5uuusuynPJ80MOed0FF/9q1lZb13v7Zm0664dnfb/VaiZ29fNLFu+y+84vLn5mYGVuCI8//nh/s4E8z7Jsyy23rERgZqMNxGu1Rv6XtvmX/n45vLvooot/IFBH+VkSEJDnvq+nN6pWclgdK+9aO83epCIDKl2i3XKi1eRWagzY/GXIcqcH8yhrSJJJ5GzsuU9H46GqBbUD+5C3LawepRwTQ71ZQlD+CNQeZYpYDK1ADI9ttp59z5133nX7DfPm3falr3yF2Zz+jf+ae/vcCy64gEjdcN2fP/OpTz0w765tZ29DLEqpr5729dtuvfO8835er9cZ+PO1195z190/PPvcnXbaefKkDa6//vrX7L03E8iLUipkTCbQsHg2jjIVe3r+sUdrLomyVUYGDPKcnTWUsXJsPImXlN1KbjxHSxcsXrzYWhsooPde6whrJuuKoqharR5yyCH9/f2f+cxnTj311AsvvPDoo48eGBgI+4RcejNnzrzrrru+8Y1vfPOb3/zxj3+86667Hn/88aFNxpharRYkvV133bWnp6ezKPBOO+20evXqU0455ZJLLknTtF6vf/jDH16yZMlJJ5303e9+9/TTTz/11FOfeuopBMs3UZqmYdLFSOnZQlZG6chW7QXeOoaH80Skc61cFVRpNgchjbqBgtGmgtiksKhUfnfplYccfFhV9UzZYNJFv/jVZrOmX3nt1aBqzFWV5zWPxQufHTe+b3X/alTjz37p1C+d9o243leJ46uvuPSc75/GvmfXbXf81pe+PHvG9N547FNPPfXOo96zwkoe93oVk/MRQSSJensSSK4VovGbbjP7ol/8bKNJ43viKG01t9tuh6bzXvd976wff/4Ln61EUTVS//72tx951Ht/c8kfXARwtOm0mdtvudm7jny7Y/Gh6HToB1EF0Jttvc1PL/jJ+MljWccbbzTzZz//9fRNtzOsY2S9Wmo6gkem1SAI9fFbb7/3RRf+ds/tt6tF9aqu7LrH/h/5yEkAdth5hwvPO3/KxKl9PRuMHTfpFxf+eLstp4Jbrdw6z9DRWd/95tWXXXj1LbfGrG6/7tqzv/d9o6q1qOe/Tv/WjX++gdR4mIn33nrPMW95S5+JPvmpz37ic1+AS8RDA9Zn0Bqmlnuz8y67V+J6T7XvgP3nTJo0fevZ+3JU+8E5Z/ZE+pWXXtlowyn1SqWnUv/QB943YXzvD8496/gTTiB453ICveXNbz3k4MM0x5W4Z/r0ja+99rpp227i4AieAAfxpA96w1vuufeRiumrxPH4cZMz5398/g96JvToKH7q8ScOP/ywzKZK+6997StvefPbli5btufee/zHFz4bR5WHH3703/7t4Asu/MlWW285fuyEb371tE9+5Lik2erp6ROmNMuCX4F4F8dxf3//jjvv/ORj8084/qNPPPWYhs5tDqOnbbzxNtvvWa/3nvGtb1ettY1Wb6RcbmOl+/rGWvhmmgIYazQ3WjWSio5YoOKKZwXxmc3rPTGxPewNr9thxz3H9Wx4x9x5VVVXns894zsnnXjyMcd9/OTPfs6YyOgxhx/6Dm/hxUJFEzecuu2Oe5m454xvfysm6Y3jDx1zjI7MuHHj3va2t9scn/7UKWeeeXYU9Wy62canfvmLlYpRIUCsFMtEK4oPPGDvu26/jRDP3Hy7mVvO7q2N+/FZZ1TZsXKvf+tbJ07ZaMr4Ka8sW+EhqU0//an//On5P/vpeT/bdaftJtTHfeNrX/3IR4//3tlnR9UxPVH0gfe8+4Pvf++kKRtsv8tu1Wr1u9/4xvgoIsJue+5x1rk/+MSnPgOqHH74m+68/c5KVGfdO3nqpEa6+oc/Omv8xDGVSs/cO++IalUotWLFigkTJmQeXmxHKZdiKF4jb1aX+3XRxf91UPlj2HYvRTI8MFA1PHPG9PG9sfFNtFbp1vJJsTfJcuP6gRZcmlqfIXJRb8rVHLVUegfzXssbrk4nZG5639it4fvgY4ImUKgWQCFGlgqqV8IP+xdgCpm6PIQQ1SDknY2C2Zg55DwAlIDyzO233wFnnnnmDjvucOfcm/bZezciAmmQzr0K8xrEkzgvPjIVgAmKCRCvFJVldQGsWekNJC2By/qfm//Qg7duv9NWfdOmQdVRGQupJKmtVKMsWRFRC4PLF917R2v5K1u/+4uhcob3CEv/ZrNZq9U+8YlPrFix4oILLgikKs/zxYsXP/HEE5MnT950003jOF66dOn06dOVUs8+++zXvva1zTff/EMf+tDChQtfeeWVTTbZJGSQ6Sx7cvbZZ8+bN++rX/3qhhtuGOTAYOodGBh44oknBgYGpkyZstVWWwFwzi1btmzp0qUrVqyo1WoTJ06cOHFiX1+ftXbZsmUAJkyYUFYBDmN/kfBlTSNP0AJ9IQ0WaML2oKl8BlSbXM+ACLaGDC0P0RCGVk4py2DvlTRz3ROLAKs9OOFeARmBoRwQ8QXRBClXeAd4RRDP5ABk4BRMluoOpAAHyUEeiJDFkpKvwBof5wDDC4fERcJggvJWrDCUgAv/AvasLZARenKP/v4D/23Of990XbVnfA3QuYeCZRZAA0WKNIngowSICIx+S5xRlcBVJ3CAZadAGqHimhOwB8OuVrruoP0ghEB1L2ACCJZzx57hlSCEZ4T8SinVY5/DOVEmYe0F2gOAMIxAWQ8P0dzQcICCrUF5eIFTsCwOTnnElhQRFDwjB4uDstBeiDwqnECMBwl5T06gBJohgpwg5LVCKPrg4dsurgaZthY5w1YAeAXR4MgHfwZXlODzLJ6gIGKJDTy3vHiV9pz80S989+yvodYUZCQ9sFqATMGxU1AOMALjEDxphbyDZxH2FBaIXlEOBmDA7OF4KaNOvqd4jAIGhGApE6QEx4gFVQFIoICEoAXGCjygfK6dg1PwJoSdkQGrjJQDM6AA7VYAxlPVkg6d0AAKKVwOAjjOBBbqlVde+fjxJ/7qol9Ejvbd97VXXn1l38TxAm5lLo6Uc2AF8h1LWHiCB7kly54+72cXf+4/viTgzHkxmghsYaQFeMe1VJEAGi6ShKwD+kDOETwrRxBYhdwIyBoIg3OvfEbGQ4fhsOL6hWoWGgRNCUFgI3jlGU55phZ7TT4G4LVYNKO09ekvfu2kU77cN3ZMhaAl89YqU/FgRrEWDq7QBAAWGDUpdBdddPEPj1HKwUvpb8ce4tvj1lOv4LeXXt3fWJqsevKTR712o/i5KHkCWA2tGk6rSo+1lpyNVLWROtJ1yWqeqdq7QXXMVohmwY8RomDYI3hiR8gFDDGhGSKOWHvAi9eQB+6/b6eddxVw0RTk5B3gQdpRFBLDGDgWB5CAhZjFQhy8FxV7UgJh75gIpBxAEBI/VHeDmEDt8l4QIWnXrApb7rvvvl122SW422kw4FzfhLFjjLntyst7+2pbbDarXu3tGb9BRWt411j+8uMvPff8omfG1Xv3OvCgLM+jqFIm7WPmer2+YMGCNE1nzpwZeGGwz26yySabbbYZ2kmup0+fHqzDIQo4z/Nx48btuuuuZcHfkCAwxGfcd999999/f6jqEXaOoihYlnt7e3fZZZdwWAB5nhtjpkyZMmXKlPD1sJoPLZk8eXIwtAXmOyw79rAKE6E3EERoyDOyAq1QAymADHLAMLQIUewAhmgQuAg+JfJVK1DwWmJmVRUvxAQP78HsQsSNgARMUOIIaY4aAMXgEIDkFZNASAEKZEIqY5AjQ0wuTHmwTAIfISwdOJfCOMqePJGQV6FoMJPzsOLxwjMvbLXNDmNqY4tqwmyFrYcWH1kArAWWYbVEmoPHQkzkNSxBgRQ0WQWrwALjAYEmCAuoCFACDIhCSFDoZxqs2yZBBwEci5ComAiioZGSskAsiCxAzirOSZSyAImwAjSgQSwe5C2cgwYZUppAKvhvePYUAyKwCtaIIgdQBhEmduIIHoRQZpFIGKChWsoMCgmSw8cwYGgPxaQgKvhxEATKFqnTwSxEnJGPXSZcIUst1nVhnaTQtVSQGfRCQATNqQGzqIQgAg/hdtwUhWAz6oj7LwcoAiMK/INCpFXIFCVsmDy0gAhKtVcwgFVKK0CYiK1nT/DB9USIiRhgCGuBIk+hGgtVBcoRC0QJKYGCgJX1ThuTO0ciNa02njRxr912rtersTff+NZ/9Y2d6K14kjhSXrxSDIC4MKAU7w0UoCZtMHH21rNvvP6W1+x/gI40AHHQGl4UxBBRVOS+9yAF1sVrSZYhIppIKXiS4DLjQF4IACsgNNUrIiFVJGrRRAJWoaMxLOCKmjMUnrG69o9XH3zwwWPGjHEeosDEbMzonn0jTRtddNHF/3UMzfyewCooJ8Bm43Dy0Ye+/Mqy3mpjUv2V5NkHEHk0B6FrcRTpWh1ewQFUHdszBtF48GQIIxoLtQHc2FDYQyRYVRkhJx6skAg0iWZmJ16ImTj4/3nniDkUASlaJgrC4FBEwaFdLSSMzRANCEgE1sMFVyGIEikidRFs2YAXEiEBiIkgAtcuNzeEIr1zqO0rkSUWmN7t9ttvwyl9T91/x1O3Xjsl4uXNhs9a3phWpWcVVafN2Hr27gdg2uZaRyFXQhnwccMNN9x9993Lly8/8cQTQxZApVQwtqJNztCuwxsyv4RYXXSEjwTSprVutVq33nrrJZdcMnXq1KOPPjpogcaYkFmQO4TLwPBKd8AQsTHsIsuMMGUVlNEyO7Sz9RRPo4zPVhTuPoBMIwcEEnlRVIqDAvEgWBEhr5WxJAAZgAlMXrxYEU9M5UMFwO1Z0wLEEA/FrGAgxJ64vXohATE8Gw9YgihUxAsxCCE8OBD9kGyNJPQ/AEoAR+Lha8iPPuqYP19509MvvSDMaCc9V/AaOftIgIw5B2tiRYXu4aF8+BfkSXuChRMwERUJzDkDKQsVIUSRaxBLWIbAKwGg4BUgIEsU4qEUwQTWANIKIMAIQBbsBOLhnGLlNAsiB2FoUuG6BeIBgiECCUCeQCDywXmTtEJOYiEKhU8FM3kJfIuKHO8UHr50+P8yRAASFSJWQQ4GoEC8iEDkhL2HAEoJk8ABSkMpsuI0VYXpjLO/5BVyYRCLuMAvGUwCeJjQIiZfOIAwkx8KkQAh0HEwAA9RMO2EAWASIRI48aIEDPbCxSOiYHF1RrQAQl7ICVkBMRhQHqQKf0KweGmnP3BU9QShoJSVvFeT0RmsEGLWEO+z7NOfPvmTJ39c5bGIgOEdeeQKislbn0UcFe8ItZXbokfXDnv9G7WugXwuwsLkAEZKwmRjaLYAwSp2EKXCc/UgB4EGIMRQEFt0aBYCazD78EJYS1AEBryHQDmSQN8hYBEJ9XvYA8wgBf63N7zBUzVnCJCnNoqFAJvnbOIRx4EuuujinxthEggDovJWad54g7EMkvQl0ZFkGSnJGiu9SrNGK7esTK2ZVqpj+3rHTIBMgxhwHdIX8kWQBoV5REr/9GDfDS4l4r0Hc8k7uM1JijmAVcHoCByynhZjcts5K8glXNQjUmiXJgIQKgZQoBZcVKWnMKqH8AZfqowKIdZhqHycboK1jrKBgXQgmbjNzhMnjut/6qElj9zjXKOvFqWkJm244eydXosZO6B3Q1AFbdoY6B0z//KXvxw7duyXv/zljTfeGEAo+xHHceCIZRbossgHEU2dOnXSpEmh1EfYgjZdI6KLLrpo9uzZ73vf+6rVakgNU0aZlBph2HPI5bztuxOuqm2Y9kFW7GwGtX+GW9GpBZZW4KH6H2jnuSENWEjOwkFX9qxL4zCJL+45U4ycSENYhEXgQQQNthDHFAoMaIISgSMiaBUOx3AwXhQD5Dwzg4vaUxCQB5MiCoyOScgTLFsUMo9hgLwjkaBQCoklJ4DAcDbw81/+Ek4PJik5aIXMgVVEEC0O4ogUAA8lMCBAUiEFcCkdO4TclZZBGhEIIAeCh7NQFZ8KyJN2RGHRQ0HXklD1gUChXysbjN0CJZ681QwSAjRIgwnIQxdWSiBehbdIikdAYCLtyh7sLVShboqApXjNwAIfAwpU6j8sKDKdF12EIOIEVkBEEQWOBhBIwL6gakVnIHgH70IuO7Haa1Ea5K1NyRgJFuQo0PyKQAsJBRYkBiLwnlV7dQZq9zcqxwgREWEqPEYEgHgjpHwwnRdcFWDPxOQUgwXFAT17B2gHInjyoQRJoLQiYU8QOYgvPBqEAXhVritDTfJiaZh4p1krZvGWvGdjIFBsYEBC1oqOSGCarcFqNdZhFSvt9glLezxyEhlFcKloUkQsDAUvYSlijWTsIwBM5FmFB+oR3ufSaYGLeDjiQjMP2wFAgrIXuGDQBsNYrgP3FBJiH5w6ICwEYedd6IxxrMWlBDEm6ob1dtHFvyo8lXqYYm9zMWzBJu5LdM1ZrjIiYyFJnqZR3KunTJQVnCGC7wH1ejKgahDu1DBlTTRIpDA9a3ggVHgrNAdvbQ6Bd8KagsSnEOQfIhEiH4rIB09qLwi/swBMXpxHmC4IIl6oMPpCuM09PbV92iAobMdOSAMQAYkEuhUYlCZwnvpr/njzyiXPbb/1Znu+due+GZv27XsIvEWzBVNFrQ9UcarGRhNIvARGFUVROMSZZ55Zq9WCwhe4V5D3OlW6wMaCpXjy5MmnnXZa2D/IfgACRXPOVSqVr33ta1OmTDHGpGkaSGTJ5LAm5+v8GeqOBCNvmYY6aIGdiQlHTFI44j7tRNDhJ0CKRBgkPOQRGFQkIkcAUTDpOqAQnQr2xIoBiFXeh8xyQuKJPVgQRc4KeWHlQD5wAuWlnaeSioxBIGGikFJIScjcTaEmlmFvSCDQnmzoCkSW4BVicvDKZHkaxTqm2CiE6T4DHDQDTBbkPJihFIgsoDyJEgILexKA2zzYKzCJQ5hIBSAWSOGax3DwQesjH2ZnD2JikIQEN0wKHjCwIB+CKzyYoAgEUcoTOCeQV0TwFGzFha2SFLQXbut2nlhA4QVrc63APgiALt4FUsLhRpLAEzOJgDw8CTmPnEg5ZFoUEUGYIa7NydqeoUIcovfbjiTkM+u01swMaIHyHszI8oyjYPkXsAvKa2Bo4rnDz7ctPKJc7YQPVEafe2ECiMWBHABohlXkHUQxkwSnADgSFxo1JFIHxzUGmIW581RExQqlbewo6FTb7OAFhpUA3guc01rDeU8M8mJZGWhF1lrWqlatCYRJRILTIsQrCUaGkO+d2HtWShNskjSrsYEDGShoAcRTSK3HJE6UgHVbMFwjB6kwSPl2RT0aCp8jgRIMVcljCgNs+BYRmfI4IgJP8N5EUe7gBEajsN6XpX06hwKsva2LLrr4J0QxxQvBs9HxgE0jXc18nKteR5VYR3ljlfFWnCZXR+o96lFlA6HxxDHBOCgKxmMAHeIBELQ55YNvksCLJY6lUPlozcDTtuNfkTAruNODoEDthXkBApiIKXgGDZkFqXPQKiSQwhJYSAwMduUk0PZuC2ZYHXvkmUcikR6zvN9LdcMcklacBWSMUTAAHHwNqCCHT5l7Qibn4Nunta5Wq8H5L2h7ZW23wMACUQs7B9c9AEmSRFFUxnCUDyPsPG3atNLaG0hk6RcIwLdRSobhZ5nGJuSOLvXCMhL51THcHXBoaswFGkIkJggWbRIfvmQ9OQfPwSEsWOi5MPqF3iACgajwzESBhMgxeUHkAhVUQiKeTNkUD+QQAmnyCoAnSPDmkkyBAVVQUAp+9gCE4FkHxgQggiIheMBUlWIHGA1kFs6TNtqQhfLEpHNfeL4pU1yZCjNkcHETgoMoEIvWIZgdAqJgo9OgUDMr0BAOpt+ia3ohB2G0twSirBA6MLngn8WsBeQC+9cg8WALKDgFD4EXRaSVELcfSEGOCoOyDhSboNr3nNsZvLmo4eABYhIH4vJ9Gnrc5AFFpEIGdEGQnELY/pDvsCr0bmim4OvJUD68UR6RiXyoGS5FMyRQEehiZGg3XcpE8wJqq32BNAKAF0/MEO0hDBtCNKAUxMI5Urq9VLGwADQUlCuGFWgF9gg6aDhHydEhxKWWyoAS39a5w+tBTMisjbVWHNs81SbmYH8w7bgUDUCshdbK5rnRJGQhHLRMIYC8J6tEiGMnIOhqpZZnTWNq4hGxFjCFzPPkAFFirAdYuNBclR8apAK7DxzaCRXZpCGsCjbtg29vSI0uaDuewpNAEYt4EgiYtIZQpOAA66CtVbHBWuSveNKlE00XXXTxfxBrLOHai9thvxXuIcIinjyDUdUxIWceF03c7JXFS5rWRrrSSjypuvW1fLmmeOKEsZuCJ8BpR/DsSUBwxKoYYCFc2JXWGEOYFQi5FWYQS6Q1rCPNzsNzmNcp2GVFRMiRmEDfBIW65wASJkBIA05A5INYEMQkHdKVkoinwuceACQEM7KQhOUxQ0gky7Iy/pdEMp/ZJ+c/vWL56i23nT1mSl/elgcA+CIaEgZQLlfwUHFJxQIzG0ab0La9Agh7lvSLh4UaAwBKCtiORmbn3DD3vqIik0g4WnnGQDGDTTnsv3Yyl9LyO2ILR/h1GFGkVKAAXZgHSSSIsEVHywXWA4BmGALgAOWDKsNghFJ/ZBUxfEHYwCngBVUrMNZCeTAByksRdehILEAQDaeA4BAqJELWwVAQlKXUkwSig79fuYkLwuEdAGLnnSJSRfsohNgyQAhholGhmvkMSgNtbVMARrgW5YfujHChuwAQeB9kaUixWmkrhcHhwLVDKVkCG1VBvRNCCiKQEbBAyBEJhCGFaV3BwzvLWvmSMQFkhz8hYYgSQFgcvEawYgdYDs4TaG8LbSQRygHyCOV1GOBCYwc46I5Ogm9ieP0AKIDgm3BVmKKKD0F86awn7c7nw2unwEogcENRJtTm5qX9OrgsBu8/LwiU0TkQieIskD8PcOoAwCjHEEAjhSUggvZoMgzEAPDtkS+4xxU+KMRDaUZFMiIF0dLuP4WLKZEHM5x3ilURkCJkMyusjYEgI4jzrNgEVwaQBRyEIJEg2MW9INfegNgSMpsZ8kZFzrJSAOVBtwY0hbdCgmHag7yAXOiehYW98O10FMK0lRJFxRArEga/Ip2CCguS4JDaocmLhFWGawDVXKkwjimxcBY6akf4eqCImy9emS7566KL/7OQTpPucPIXFLr2kt63l8gEwDnvlbKQlaDlsK+g1UgbFrpiKnWnjKlOAib4pMJRJUSWESx7R2CwySEE0SGDBFgYDlASzDMiKg6nEp8ueOghBZOk4jU7zohFec3OACycCrfIV5VnAiycVd4RtBTu5p7gyXOYEbx45TxLTjE7p8WysCPtOPJghVz5FsN5godxpOFJwynx1d6+TTfdNChluoXllai25Y5b2lRrDZcjApgBb+E8hKBN8NphNoUDUpuBlen3wpZye0mk1t5S0sFgeA55AQGEr6OjhhvanKxkZp07dDag/FByxPLg5Z/QziATPo8Y9jtKZ7JhfldD24ZoRGHBbPevttrHgC/idMGKg0mr3SPbd4LgNRiagxCC4KofiKSidpZtD3gIhNgROVBcnNSj8I+HR4PJklQRkpKUfZ0BtJTUATArD2SwDCvwGloFRkCakBdNVxCVEaKhN0cAAVNhXiycxXQpkwBATgg5RCj4qVHHGxd0m1JtIoEXCbO6cLDZARDylpyHV0WgCpMDa1gK/nJU+LOGO0+dCdM94EEmeLo5kAf5oWwdHhAPzwWX7XAiDJcxxOBDH2hbFkO8Vcc6hTp+Bi287VWBwrrKQ1mE2j62RCFaCBSeYDukY421aeGiW5hsCYXtlOARhEtVsEUBlw4KaOf4CeNYXvRNAQfWxoC0c45iDcbJJApBQwv2ghB0RhTiIwDNKneWVRFubCItQY4kL/CK2xZ/QcGxSaOtMAIesMhjRHBwWouG8q5tgEYKyj1qDlp7DlpxkXMHIKgy/s6j7dxc3J+w1Bh6dgRy8D6w/sLiUkQycanZExXu0kLBfbbw4/QeQw7XXXTRxb8U/NDHIt9CLt4Ts2IjmSIzBdILvSF6Ke6JnBjPnpB6gFHhqBLGcmIAQlz43BCoCKQkjyLAwhNZIIeqEME5CHyk1Hbbbw+vwFoKVcUraHiQhOwZLZJaOW47soWIEFbE3F6jBsbBVuByxApQsMHwZtt+hCqkPgAExoIBGABirUMwwxYpUUqNbe1MyP+MaBva/557/vVYc3HSsQnD/zDCnl2sEzpe+HV8mn/RTWBdHsM6PTC/1pZutpEuuuiii7871h5s0ZHj0w+ZPKVTYqAianCEChEjlo1YQ67oHM87+dVarmjl/gojYLSdS4w6a5SnE3EiwqzLNutOl7hhxtAuuvgXBa31upWvxbpbBtc+SBdddNFFF6OgkxL9f6MigsKXvW21khG5VCc7GrFtI24cLdh0rZ1f/WKH/VWtr6JBRERaxJXnDVlVh37ptM920cW/NEZ7D9br/fjLO/OI69Euuuiii381/K/QDwYVLjKk2r5NAml7taPwtGkH446MzgzC7TQORa6CtS+K2gU5Ore96kSwtopAr/rXtfYuzshlyhQRKTK+lE0ZMSbjnwt+fSxr67XzX4ORhaRRLIZdf/S/Fv8/LPh/D/yP97cuuuiii39VvLrB1A/9LNmcFM7cRCFqcV2to8Gm2kmo/tHc6tol4drG3yD+de2/XXTRRRdddNHFX4F1Sa9W4v8D2ehozxr8r1PPa1MgwSjtp6Ka0KufaEgC7EyH8r9i0V6rbWtc1NryYxddrCP+r8hpfz26QTZddNFFF/+kKIpuDssF2AkaLhauB/nrzE/8P4R1VxPLPcsP+qWXXhrGTLuaXxfrgBGimf4vgoYqZAxh7S3AUPW/Lrrooosu/gr8f6YZf/l0XspqriIkw/YMhcuLbLkSKmmtrZcF+XBY7dmQb640okoRQfyqjfmb0RnCMeKWTrsuNRqNoEwGy2835qOLdcM/LfnrMr8uuuiii/8JjKZUlbUYSgrVWbth3bE2+/kL+4e9mKTDt8+3ay8VeXfb5A8ARHeeq+RLaZpqHQXCF3IMj9RyX37xf8Li2nlXnXPllo5sL9Kp/LExJtx0rXX43Hk4Zg6l20pfwDKZcyjFMcyl8W+Hc7nW7L231rZPGgztTKQ6K3x4b6ljTpY2Xv347e/6Mi90KHUSLqSzlMiIXyzv4LCT/g3P0jOvUWKYOWSEHrHr/IXIUGttqJgMIKTCXt/WDCvHYq1tN4bLrJCdawgRCXcyfFiH/rD2pXnAizilqNP3tKgJsp4ggVF6qIINEZg8inoPw/YM3edViF1IEu5yW67krHc6MujIbQ6EEtxS3hAASqncWQpVnUeK9g/lB8NXhgVddWId+zPa0fqhfPZoD6J08EX7FQiFs7uqfxdddPH3RckZ0J5NnHPe+yiKmDmMUaHyQjkKEVGSJM45a204wrDZORwnjJnl8QMVCRNf2J5lGYrJC8xczgWd9cCUUoHADDWy4AZFoXVmZtJZlrE2URSJJwgLIYzq5fiZp5nN8kgbozjPU2bEsVFKWeeIOXCnMptyWZNM1ixXFiYXZj3yrVzTXBu2FCxZSMAlYyYiEtg8JXjNSikVimikaRrFFWIdmF5oOSVJsrbmR2tWyAhULI7jNE2NMXmehxuttbbWBsLx92OyHoBzEkWR9z7LsjiuliQjSZrVajVN0yiK8jwNDey8QeXnV29PePxl6bnwIVwIM2dZJiJRFAUC2nn3yxv197pe7227iwNFxeXOMicl22svGtrVadfmRWVlPBEpO+j6FysNtAnW2kqlkmVZHFfyvHgVg3Yd7olzOREx6zRNa7ValmXhlmZZVpZdHgllcY6hMwLQWjcajWq1TkThtouQ1tq5fD2bLwCc+JJdeXTkZ+p4aJ2fO29m2wRQ1IlRxIFREZFm5UiyLIvjGF7Cm9yu4CwASBWx9L7tPaKIh3WV8GsoPw1AKeX9UO9Cu2g01pTuR+tvoQ3lSFTy0aJt4RLCq97Rb8NY2Wq1wiPurHzzP7Ek7aKLLv6lIEPmzoL8iYhzLkzfaZpWq9WSeOV5rrVm5pKuKaWstUF7qtVq1trwlTzPRURrHWhiqXTEcZzneZ7ngTYACOQk0D6tdRjlwriX5zmAMDyKK+aIsmpVOfI756IoiiItkP7+/mocEZEHGWNajWatVkuSRGutiAGEJTepoUsAk/cengKvdc4RDZUxC6SwXPYzc0i9Ehbsw/TLciUfPoRTBPLKynjvvXPGqHAWrSjcIhGxTsLGer2+avVApVIhFIqDc64gf+FMw4jO0E5EgVhEURTufjhx+VCHJJBResC6g0istXFcDdNtUIDCk2Nm74vLzrKsWo3zPA9kbO379Sqd0nsfx3FYHJTdorzk8GDC1ZUkfdjB/44CidYFW2qzSnJOQscFsDb5444M4MPtle3lkdAQe1hf8hfygCulnBMRqVQqzWYSRdGQoJWnaPeQKNKhtWmaAoiiqGR+oVuPhJHJX7tq35C6TKScc+srKzOIiJwUxzTGBB5WuGL8JfI39EEkiqIsSUUk0iasUAUOSotIlmVGFaOVIrbWhluUO1vUHlRtju7Cc+Syl5Y9KoqiNE3DZdKQmWD90v4FYof2WIC2JBm4Xedq2BiTZVk4UejhgfMxc5Ikw+pf/xVvbhdddNFFQLnU7JRLAqMKypOILF68OGyJ4ziMWmHZHxSEoFGFgTf8KcxucRyHka0kHoEqMHNY8AcehpDHWOugSgTe6b2fPn16EHqCctHpigegtEqZyDjnm81mtRanaVqv1wPzCfTAKB0YpLU20gZUXJfzXillra9UKoPNRhRF5HWWFxNoMG01m82enp4gMJXmx6B0ENEwsaMkM744smXmSqXinCtkS9be+8iYMC9HUZRnSbjheZ6bqNLWFJjDuVyOkuClaTpsoG/vjZKcdlgAUalUgvBmrQ2cOtDz0RjY+k4h3ltjTJIkWkdBgirVx3YHsiLCjCBA/sVk3CP+NXQ4AEmSVCqVkmgGhTnQl+JxOjfacUbEaOcdXbnJ2wudYr3ifSHbhPvR3tEXR/ZrloLr+K2QM7UK6nph+xuF/I3WHsXeufYd8IEzcbupLqwnWAeS6qy1RumghDFzEIaB8tGMiPJ5dSRValuNw2sgIkEAL5WwdYe4wuCrjBYR6x3ao0DYYZipt1harUX+ANgsr1arNsuJyBjVHByM47jlXKVSERGX27CIZBQ0TkRMHIXF5WCzUalUvPckazhHdr4gIuI9wo0qV3jre71rJO0kKq0M4WEN89AIjy/QwVK211qHQRNrKX9d/tdFF138FQgLWqw5F4fVeDkELVu2bOrUqSWtMcYEytIWenz4U5BpoigKRqFwqDzPK5VK20YkxhhrbTgO2k410mHPDNPTokWLZszYRCkVjm+tDYQMaylfAdVqNclSCIuIgzCzAuU21VrDSxRF4u0pp5xy2mmnGWP6+/t7enqc9957J75aqbaSlkLFGJVmaUmG202lMNOFEZioMIIbU9DWslWdg3A4RFstkiiKBG3xKJgQQdZlgdIws7NCipVSSVoQYoIvZwpdzjrloyoRCHjJ/MIRg1IYqHeYZgJJB9bD6vqqnSYXkVqt1mi0iIhoSNgIlIJInHMAGWOcc0RDd2pdoJRJkla1Wm21WmEZISLWZsYY59DpyBi4Na3pETbMHjfilvWCVsoVixUTniuz1sbkeV5wveKuhgr2kFHIX6DIzjmXF0pyePzer1/DvLMArM2MiW3uPaRarZcm3XCjk1bGCsF1o1y3BQIdiHVQiEc8foeZfg3yF2R8rbVzYoxJ07Rtt12/9jMJc7H+IyKBaK1t7m3uQ+jWGuSPilD/tc2+DDLGZEnqxUZK28zFJgo8L3R+AGXPL1+HNE2VUqV3BDOLH2K3nYtgY0ySZGHhFB5cm8Ct3/W2GbME9lwaHcK6JYykoVVKqSRJwno6dI/S33e0h9VFF1108VegdDgexl1KV37nXKvVCuNP4CVZllUqlbBPUOwqlUo4VCBMYWYJO8RxHKhkGNzQnvKCiSOMh+EgQUtSSmmtjYmDeSowRWOMh4NrD8vOEwuBRDwBkYn7+/ujKDKRGWw1q9Vabh0gRscgb51NkkQrCqpeliX1ejXPUzDlNldaJ2milBIrrVZqIoXCFYettc7l3lMQOAKNc84GW1AQ8DrvWPgQBvlqNW42W8GNTwRp2hLogk0yMbPLbaBtQYMwxrTSJM/zaq2ephkA5qHHUcghnTNTmITC1Bvm9dCsZrNZq9VKg3qapuU0tvaz/6uVvyjSWZaVGpLWQ453bTrvKpVKaXwswxrW8YwiqFbrxqhAZ621adoKvDYITpVKJbAQIMygeecKhv7eTlHe5aH7e+8ANsa4Dp8/KorDeECVfp5rXE7HtYaZPnc2vCHhHopbPyWJIFQ4MThtFJMOb13gFqHESHhtnMuVUl4KV9bw1gV6EYSlUc7AQ6ca+onyK+Ep1+s157z3fznGZRgUI89TJs1EzCzeeYfSEQTkh8gfeYDF09rRvsGHNgiotXrdpqm3rlgsiq9Wq8WiyIkxJrxvnbq4h2jSURQ552goyWexAA0Xm6ZprVYPq89O0W59rzcMkUHnC69k25pMwZ+vXOaWhpLSKFAeITDXtd+gV1fQu+iiiy5GRDmYyFqOUmGoj+M4yAd5ngfj7/nnn//ss88Go1OtVjvxxBPzPA+22jB6B5YDIFhIATSbzXKgDiteAHmeO+fCPP7www9PmDBh5syZwfQZ/ALLBbBzTmltKQtjopBnIQK883EcJ3ly9VV/3HzLLbbaets4rubWARRYGivUarU0Tb13RJSmrdDOEOdXqVRya4tCukTGGAIJXMmsiKStaxRTbbBDZlmmFJc0rLyB7QmimOJLKqK19qIKNTHPAW+MyW0aaNvcuXPvufu+zObjxk2Yc9BBwd5dHk1ENNbSrkoxI4qiyy+//K677gozllLqyCOPnDt37hve8IbLLrvszW9+84QJE4K6EOa5ER//+k4eTz755IUXXgggGM6r1fpJJ50UdAtr7VVXXbXjjtsvWbKEGbNnz37ggQd2331PrJ/oyCLSbKZxHAcLugj/6Ec/Ouigg2bNmhX82+6///7FixevXj3wzne+M47XoLbDpOx1t5GN1irv8jiuNluthx9+mEhtv/32caUWVioYyjBZyH6A7ww1x5rk79FHH91iiy10ZMJ1IcR7j6L8jdaeSCFLEw968MEHL7/8SvHkBCeeeOKUKVOYtPV5aTGc9+CDeZ5OGjd+4cKFc+bMCcwvvM9pmq4darrWeddQ/owx8+fPX7Ro0WGHvT7P84GBwbPPPvttb3vbzJkbj3ic0ZAkaRRF4nH33XcrpXbceSdjdJvNr03+AOHhN0IgbXNqtRYvfvbZubfd/o53vMNl+dOLFv389789eM6cXXbZJYqib3/3W/V6/X1HvjeKorASfeGFF66//vqj3v/+VtLKsiyqVHxu2xdeRK4Fc/m8efP22GMvtJ0rALSd84ZWMutCwqrVarPZNMYMDAzUarUVK1ZcccUV73//+7Ms897fcccdAwMDBx98sFKq0WiEPi8iF1988Vve8pbgBViv1wNZXK/zdtFFF12sIzqNmEFKAGCtLamYc+7YY491zl199dUHHXRQFEVhNRucUlqtVrVa7Yy/DL5nWZbdeeed++23XxzHRBTWscFIhXbcamEAdU4pCn8t7c5UhtkR2iYXTyCIczZ7cN79d9999wMPPfiWt8r2O+0sAigypEP7265iXAavJElijH560dMXXnih0gVPfc1ecw499NAsy6JYG2OazUEAc+fevueee95zzz0A77bbbiGQxXsfluvtNNGuvG9SeOy4YP/03p9xxhkrVqzo7e392EmfrlZjFJHRRaKZNE1/+ctfLly4cJ+9Xztx8qQnn1z405/+dM6cOa95zb6CocwSQ1F+5XMK36/X6wMDA1rrY489dtq0aW0bK2222WaBW5Q236B2rK30/HUimdZ67733PuCAA3p7xwwMDNRqPeExh5/hWe66666Af/bZZ1euXFm6JJZs49WtwEGk0VqXsULe+wMOOODxxx+fNm1apVJ1zj388MPvfve7o6jCzIG/D2PGnb+uI8cdbYdKpeKcbwfJmiDPlGS6/S0q/gdhTR8+6ohOffjhh6fP2HjymL5WqyXtaOXRfP5Ga08QRG+/be4jC+Z/9atftblvNFrfP+vME044od7TZ4yxNgFAWjUajXq9HvwzQveo1WqtVguvmmVmNFKYJElwHAweHueee+7xxx9frVbXVwkrIpSjaqfrwpDyN+J9GOlOeO81q8HBwQ022GDhwoX9/f091dr8+fNnzpz59NNP77nnnkuXLjXGHHXUUZUoDvuH98I510paaK9TY60711vhDqdpunDhwr322ieMIH4ouLujVe0Pr87A0jQNrgt9fX3BkyGMidzOIxDGuGCdLyXGYDiw1gbmF2wEI57376tzd9FFF/8iGHHoGGYFLq0QwXwRiBQArfX9999/77331uv1jTbaaOONN954441vuummbbbZJkmSc889t1arve51rzPG3HTTTWmavva1r/3Rj340ODi47777HnDAAUmSnH/++UuXLt18883333//MB5a64clpyMiB/EFhyjUtsBtLr74YmLe/4B977jz7htvvHnrbbcnxZBiOPVOlC5CWCqVKEiPcRwBUErttddehx5+WCCIPzz753vttdeECeOarWYcx5VKZcmSJc8999xuu+2W57kxMTOH1XtYipcxpiJDuTVKe1GILLz55psPOeSQHXfc8bbbbrv55psPP/xQa22gB8HCc9NNN73wwgsnnHDC5ElTwLTddjvssOOOv/71r7fccuspG0xAmyOVbvVtVqSICKzIu1wxsrThJWPls7zJzErpX55/0Rve8CbJUNW1PM2++73/ajQaUVw/4fiP99THCJxSAFlnsziqOsfrPnmHbpG3mkp8PY7SJERTN01Uue3226+99loR2XzzzZWO5t5xV60aX3vttXmeT5gwaa+99iqdrkpiukYv7PzNO80k4oxmiIM4Jpkxc/olf/jdPvvsA2BgoBHHcbVaP++884444ogli5/9yXk/01pvsskm7z/qmJ/+7Gdz5hzc29t79jnn7LHHHgcffPBFF1287777brLJJoEcr1UNZujq1n4ZRCTLkwpB+1asMtfTu9Kbn59zXrL0ZZuvHDd1zPs++MFlL6z8/QW/bzablYm1I497ryxb/rOLLklyzN5qxlHvfttTzy259KqbVq5avtWmUx59aN7yVY2jP/TRnmrV+MEst071su905xrtWQxtt6rqhR9a8NS/v+MIxcb6xoSJfZ//zMfjeu3xBQvO/8UviPW06ZscfcwHSVdF15pJC0xgYlKDg4PBkj7sSjvd2IxPU8UZa+WV9gCJcK69rXpX8T7J8lTpc7935vEf+FDdKEF2473zrrn0shrz3rvtNeffDjv/ol+tbgzmtrn37ts9dN+dr7y81CN68zuOmL3jTrfeeds1f7o6cvbA1+x+wGtfS8gz0zfIccyIbEvBWYotYoU8lhaJT6naVHHV5WVNHyoeShHoDUEURcqYLWdvs3Tlcl2NV7YG33rAPn+4+s/O60cWPL3JJptd8dtfvfUtbxJd+cb3f7iqkWyx2cy+iGvI7r1v3mXX3NDyeqsZG+9/wN5J0vzv//61tXbLLTd/z5FH/OLCSxY/v+yKy6/ZfqdZP/3ZD+DrcTT2hBM+OmFSLcmCGu10eB9JiTgu+zMplHlkhAFEYshZqCxP+40xTG5wIFFUI4bz3knmqQndnHvbXddcfaN4fcD++7xmnwNsFkem995771zw5P0LFz6huHb4oe/cZafdlIZ1FtwiELxmioFslD7TRRdddDEyRluvSkfWErSnRa11cEHu6elpNpvBypfn+ezZs/fee++7775bikRvCTM///zzn/jEJzbccMNgw913333nzJlzww03HH300RtssMG9d9/z3DPPLlu27PBDD5u1xeZ/+MMfSsukkJCChxMJ+V9hna1QxXIEyZKkUasYya3L+Q+/vQyoPvLYMxvNqh3y5vdsO3sLT7YiVjnLecVWfKJyK7Wai8lxq9WyMfsUVTZIBjgdFMVNHxtWEeU2aS1+4elf/u7WYz5wXObU97555rSJPU8+ef+dk6qmd+xDTy3+w59vS5utd77x0L123Hr+3XMvuP5eyvp32GrWO9/z3p//4pfN1a+sXvaCrtSPPelTlZ7eaizi07323gOk4LJeaq00ceYUoOIYeTbAumFhH3zozn32OnBc30bOIslatT6ascmUqdOn3nf/A69/3aFAUBZl1KSCSZLUe3qI6Kc//WnwXg9cpwyJEJHLL7vsoIMO2n333Re/8PKvf/3ro953TK0eZVkaxVorsrl3TrR+tVwdnbJZ+Fyr1e64447bb7+dtEkze+CBB87eboc777zzi1/8YpZlZ5xxRlgi5Hl+5JFHPvDAA3vttVcZhRr8nEqb6aucsRR7wqmZaLvttnvssce23377W265ZYsttmi1WuEyL7nkki9+8YvGmLvuuuvqq68Ou2222WYTJ05cvHjx6tWrV69ePWXKlCA4AxihOmDHede+Xq0iSCH/9Pf3i4jL8iOOOGLWZhv84OfnrFq16qGHHjrq6PdP23BqavKWTi487+cf//jHx42beOcdN914y80bbrRZtVo9/qOfl3wVMx106FuIyGjKGzmbuMjQXGA48+t4PxXaajARJY0m2s6XlUpl9YoVfX19rUbjd5dc8qlPfWrc+Ik333rHddddN2bcRJullZ56WAy1Wq16tdapzK8XWBdy+hlnnJE3WgB0FD27+JkH5t3/la98pQJcc8XV999/v1LqkEMO2XKrTe+9+6a+sWM+/olPPvnEszfddteUjabPnz//86d8rqbomssvefjhh5WKMu+tQ8Sw4s1IjeLOFH0dgTVh0VaJYue42WzOnj378ccf7+np6e/v7+vrU0otWrRo1apV2289+97br0+S5IZbb5wzZ84ue+56z533Pv7gXa8sWzZ37tyTTz7ZR9Uffvd7eZ5fc801H//4x8eOHXvXXXdce+21b3zjG2+68Y7DDjvssqt+eeyxx240dcs04TjmZnPQxNXwcNBegzIzrdl/QEPNVoaz1Hpno1hbL9baVatWffGLpzrx2ojzjf0P2OeVV165//4HTzvttKTlrrzikkcffdS5PE3TsCD+2te+tvTl1Rf+/JLdd90tSUQbhMFXheVK1+rbRRddrCc61//r4j0SdhgYGAiJAHt7ewFMnTo1SZJgt02SpK+vLwhA//3f/71kyZLDDjtsl112CVrDypUrzzjjDKVUnmbvec970jTtGzsmSZIZM2aUkpCXofjfcsy34rXWadbq6enNmoMs+M1vfxPp3qfmP2mtH+wf2HzWZlmSjh/f6/Img9grImHWLEyEEEfCAh1FeZIqLyaO7r77ntvuftjnFs3mO9/xtlmzZl17w5+azeYrLy+ZPHny4YcecMMN7sADD7z1nnlZln32s/+x+Nnn77nl+m02mXrdddd98lNfHl/V11xxybx584ho77333nPn7f9wxZWPP/74bnvtzchtZgFFpL75ja8r23r/SV8kAjGyDOJ9XIkHBpp57uo9NaXgBPV6VSQ1xowZM6YkHiK+UP7WfGgscACMMUmrBfD7jzpmxszptVqNQEmaBLNgtRrnedrf33/JJZdcfvnlAvZOO+dCcmAQNCvnXKVSs/bVlIO1+0Sz2XzNa16z3377mUqVlcmy7PnFL06YMAFAFEWzZ88Odi6tOYT5BMU1GLBWr15dq9XC8yhjwkfpmwwKgbSFNXXHHXe88Yabt9122xdeeGHOnDlh0l26dGmSJKeddlrwqdxo2sa77bH7vHm/j6Jo5513fvzxxx944IEtttiir68ny6yIQGS0Tr62/a709MrTxMQVpdT43nEM6u3tnTZtmrXJhhtumCTJPvvs87OzzlPEqUnffeyRjUbj29/+NhApTmZOnzxzs21mzZoFoKenp9Vqaa2rVW41WpHRgf2MpvaNYhwnhq/W4p56NXinOea+vrGLFi00xjjnv/3tb2e5I2W22HLber2HdRQuqtls9vb2NgcbIRjiLxYXaRsXh9KghPD4+fPnH/vRjyrPl19++Tve/mbv/fPPPXf66adzltlWusc++1cqlanTNzKG8zyftdkWSSsJpufVq1cvfWnJ1778lYqmmFwt0rVxU9gwAGOgoVHkTxrhbgzrhNSOLgqWaOfzcePGvfTSSwsXLtx0001NT9+sWbMef/zxxx57bN+99/REzDw4OLjVxPE2x6xNN33msQf6+/u33nrrWq1GUTRr1qw0yQcHB7/zne8453SkNt100zL71AH77f+dM/7Lu7gaj//MZz4VVSJXhO46H/J5OhsqT679poQtaZpFcZRby0qLS5l5ypQpJ33syGqVkzyfd//cl5cuXrWyf/ny5af8x2cVx9pAcSXI5NVqdauttrLWjxkzZsMNpyxd2j9ufJ/W7D2UUnCg9Y097qKLLrpYE3+R+ZUOKsERi4oiAoVTWXBN8d4vX7582223HT9+/AknnMDM1157bbPZDFbjqVOnzpkzZ/LkyVmSxpXK3XfdtXLlygkTJixdurRerw9rDLXT0Ab9L8lacRQ1Vw9UY/P73/+eSN330APClckbbvChD31QRapeQaPZUshJ6+BVJyTkxTnPJCJira1EkXPOVCoQ2nnnnQ8+/G0RmLK0Wqs0mgN77LHH/PnzFzyy8HVzDhEqKtdpFe268y7O+XFj+wI92HjmJmP7ethlEyZMWPHKcgXZcsstvffTpk3LmL11rbwVgeNKnKTuC5//ok/6v/PTiz587PEkRGIrtZp3g9Vq74QJE1aseMV5sIK1rpH0x3Hc398/pm9im/4yEY2k/AmDitQ7SqlKpaJV1Gqmzuchz22j1bTWZs5OnDhxp12333rrreNKDRI5izzPe3vradIMdQvyPF9fGajwlKrVRaTZbMZxXK/XV65cGcTb5cuX+wIIOp/WOuwWfM5KfXj0aNM1+hxAIa/wpEmTrLVPP/30tGnTenp6rPVENGnSpHpf7wlHf2zs2LHhmYfk0k888cRBBx/85JNPLlmyZI899ujvH6xUKii43foFWIhIZOI8aeXWp4ODIs6LBUvpyDhlypRTv/afaX/rngX33XP33fW+3uM+fmJv31iSVGzjyadfSJMm4AcGBowxtVqtNZhVI45MZbDRMtU+jMKBO727OpuniJMk2XDDDS/+xUXHHXdcq9UabPSff+Ev3vWuf+/p6TnxpI/V6r0i5ETddfc9kSlC9EPFi+BgF/z/1rhGGrL8lplq2v/6sFEpFpGddtqhXq9rUTNmzLjplpt33WPXjTba6Nij3tsbV7WOk1b+i9/+Ls/TRorIxPWIK7Uar2oqpXp6enp6ek794n9myWBvTJJld9z/SOZyw7AZJM9iNdQRfRnw3tE5O/spdWR5DOkGiOjee+895JBDXJJsudU2t1/82+nTp0+cOCFN00q1XqlUVq9ePVVkcLA/+Ms+/fTTuzUGkPc89dRT22+/TaVSO/74EydNnpzb1FlZtrTfOSfixowZ8/XTvuG8uf3Weddff/1Bh7xWmVjEmZC9nVnEMyvxFoC0VdyiHjF5CMdxlOUtYmolLSIKpU204SyXKCpCcCaMH7/hBlPee+QxPfWxgtxZvviiXwd2++TTC3bccYckscuXL580uS9NnZZiaaiIxHeVvy666OLvhuEeQR3130QkxMyinak+mGsnT558wQUXiMjkyZObzeadd955++23i8hb3vKWCRMmDAwM3HXXXbNnz/7Zz37W399vlH7f+963zTbbnH/Bzy+66KLp06dvs802JaHsbEDhgS02rkbIMsPmjtvvHD92wh333MuR6e0b86EPfUCxN6Rag2kcGRNFSdI0ygDERRaOwiFPpJ2a1znvEcexeOeBijFps6k0bbXVVj/56YVjeydvMGXSwPKXokocsvmmzWa9wq0BYYZz/pVlK1avXj2przo4ODh23KQlLy/TWpMyznpiAIijKkv+u99esuG0jfbeY9cVy1dqxZA8iiMSnacN1uQtdtppl2uvvmnrrWZPm76RiO/p6Zs7d+6iRc++/vC3BNkHgMDpYXek+CCcJnkUR2UavyiKREye59qYSiUKJP3w1x/6zW9945JLfq903Nsz4SMfPj6K9cBAI66oZrMZx1WA18qgPWonCB+Y+bbbbrvtjjuJCKSMMR857vh99tknyG9TpkwhIqOLWJ7rrruu0Wi8+c1vDobg0kU9eJ6tS1/0IoGbKDZbbLHFxRdffMIJH/PtqtJa64MOOuj73/9+mqZ5nu+73wGvf/3re3t7Fy5cNHXq1Hq9/swzz2y88cZRFIn31jljzPr6xyulAWabGRNLFEUhizIzaZUkmYhcdtllD8y9XymVG/uJL568/KlnvvGNb7CK4FsH7r/PzE23zPM8jrXoqnPuK1/5ymc+84UoihqNVVrH6+JvOexBtJqD9Xr9oDkHxSb6/Oc/HxZJH/7whydvMPHfXnfY1756uo6M99j3tftXe3rFK5fbSBvNKtQKC7FIfq2C3B2VMxiFvbUsWEcQFi8qisKfeqrRnvvsff7PfuQge+6yy+lfO80IRVHl4ENfL+JMpILvQWqlMdhko7Ms22ijqfvve8Dn/uOzcUVR1nrLmw4HIgYZDeSoVCqSZyFjTmerSkq6NsMp3G+JBwcH+8aMmTVr1k033TR58mRlor6+uNVqbbzxxlmWh6iaw97w+jPO+vFvfndpX09l8xkbTp6y4fbbb3/GGWckjrfabHNS+i1vfftZZ5/baAywwr6v3X/PPfZ77rlnfvOb38RVd//993lnItP7sY+d0FOrN7MihxEzK2Ib7hIpyBqtbD81l1oiZmWMtzakCsrzXClkmU+aeV9vb5Y2K5XKTjvt9PWvf907Btm3vfWdWZ4wwxhTqVROP/3rjcH8hI9+Ost8HKssa0UxO+vBYUX+l7tQF1100UUnRpvfy1+H7VAWGZozZ06Yvvfcc88QPjhhwoRTTjkF7doBU6ZMOfTQQwEEN6H3vOc9AAYHB0855RTfLmdqrT3xxBODDSpwFWutKlPVylCZNQc3MNCsG2OiytIly1at7n/LW9921XXXH/WBD0aVKDbapVZp7Z1NU4HSkncWifLCKmSu9d5XTAVZM7U5s2bmilGt1YP1aiza9/b2bjBp8rjeiUQU8loMpo2NNtmib/yYNC0KPYwZP263Pfc447vfjny+8bQpBxx4yLPPPp+maT02eZ6rqLir4unQw19/ztk/uPKyS3sifs+HTlCa8zQlEq041rVm1tx1l92ffebFH/7orE02m1WvV19ZsXzx4sVve8e7x48fH/LOEgszU5JkAEIUcREtIcXjYWbrnXN5mT7bORcxESnv2EGIHWvy3nlhQgxhYjiXMYVyVdpZIl4/8qfhUltUAMytr1QqzhfpbdA2VipGaE9wFCWiUPIliDQhyUWn8tcZ8EFO2tXPfOepQwKOWq1mrQ+nU8pkWVat6NCHnJWoEjebzeBfCFJl2cGk1QrasrV2tHJkw2y+5a/epex9pGCJmqLZ1JQFZ86Y3GmbeUHOMWIFyo1rSLOPlDK9q1c3azX2tsWmJhznuWNJiMWYnmbiYgMgYTKtjGI9SoqZUvde84lUYpVlNs/zeq131ar+vr6+PM/BQSsOfhIqzbPIVLIsi6KK+CzkGanX6977ZrM5ZsyYMnXI2lDiLbMHWJjgAQ/yJMJevMARq7jiMkfeAfBwOorF5shdFFUGk1TX6808jSMdSe7zPDYms2I9e49qNU6ThJSvGnJJKyfjo97UImahvBEpdqQdDMMZSQFYMhlFkdiOOzAUYR3uT6SNc875PGiBURRp8a1cYKo6Ip95gzxpDUa1nkx07qkacd7sH1j+8pVXXvnvR75fdPUHZ5593Ec/rHVI5kiskKW+EtezFIIsqrg0bVUrfWkCrZUgzbyodvZKEpT5CIaR6bJ2cEXHg4MD2ghr0lq3WllkerLU1WpRkqaCNI5DAcMIYgL5Y4oASpLkgQfvYWN32mmHOK4nTWKKAGHlctuoVip5JgQz2vvbRRdddDEaRpvfixlcKe/9888/v+mmm4Yhrp3r2IUPgYqERX6Z8z8cM8uykFYiJFgJuk+1Wg1WjlBy3cRRWcA32I5DLv1nnnlmytQNqZ1U1VorMWJhSXPt+U/XXPvAww/1Thr/7iPfa6qVKKq4JCMg0sZ6l4sHU5w7yz5T0GJ0ToroC1855fNfPlVrLc20qhViszpJSNd8anviWFzLsQfRLy7+9T577L/1Fpu6LGFKrViYamINtBHnq0oidr6VtKK6gjUsuQ1paG01MkluRccC9i7VELByVgwTS2459t4rTUbpNE3hpVqvNAb7K5XKc889d8ttt/avHpy60fR99n7thMmT0jSPFZdPoWRIPKxOWocZPnbOaR3qVsXetkhImGJjkjQXJ8wMARFlma1UtUjBH621ED2acDAaOXAgY0yz2axUKkoXyb6lrYe1C5j6Wq1WlBczJs/zkAgmOL2VaX5G7pRUnnqNSOQir147KYa1lkiMMXmeFQlyWUKNv8LKLD5inaTNSMeVSkQkI+a7+YsQcFSJQII8VKqB0tBQ3qUiFGnlhTVrlzsiiZXxuc+aSW9vzdqWMnFuLavIKEXQApckWRRFWdqKYwZQiYz4pH2qNe7JWjEx7RpuWUreR0pnWTZ23JhWkoa3MXgAGmMAiU3kvY2M8S4HJLx74Un19vY2Go2QqHPE6/UhhXJhtSw3k/OetNKsszQNLglRHCdpU5xlZmVYREwcpVlWr8aZTUHsnEOlatMkrsZ55tJWFkeVXFpZmmtlYhMPWKdYESGOY7E5ECymEBCNYJ0f6gzlYBQuCgCrIkmN8z6OK4NpLmTgXKSpVqtn3rNi9i7Pfa1Wq+kNxowb9/Wvf9163n/fA5h0vV7N85zYhZBwaxHHaKVORGq1WquZxFGPCLIs1yYq2Z64okbf2jeTUeSmTrKsp683y5vOZUTK6BiAMSbPi2JubTkc4v8fe98dJ8tRXX3uvVXdM7v7kp4CEhISSiggAQKEhQGJYJNtbOAztjEmGhDRgAFjggzGZBASkkCAsInGYIIJwiQDxkSBEUgokqPyC7s701117/3+qJ7eefsCEllizk9hd7anu6q6uuvUucnMrRJpU3bHcDhQ1RApxtg2KYRBMWPkrMXawhxWV4+eYYYZZrgW2EW07w4/L6UEiswUQigpz1aZ76YLT5TEVcXKVFafrnCcW6yrYq4sHoSF+fVXZ5BPBfmlpqmrQakJf/f73Pdu97pXhpf9dzseRRGYJ22ZQwAbmMg4iHhZI5gccC5mojULC2lxq2oezA2T8XBhkJbb4Vw9Xtpy8qtfvXb97occemDbemRmCZFYEUIITbJhzZrHTZvrOHDL1SA0y6PBYJDVDVaKTWRzgw2roVpiCgR19xDn1HJkENtotDSohjlbO9a6HrbteP8D9vnrAx+8tNRW9TzAS4vjwbDOqe2Vr17585I/UIprlDkRtTmVgSvpFkuyNEICpCsyxs7iqkoIxAPNYIFqSzBmMFemAF0r8+vU7NCuYhW6RGWqGmJdxLzxeFxF6eN3yjcKOZtOjDdt48cq5c9XNGeflFItTqDoyuN2ia+7E/qkghYBQJmgqgqepGezlXRo26vZK23Y0RJORGa5Ysqp5apqjBAG1mjNEEqttyyBEa3RGEKL1gNELcj8uEmxIvPWlEOcyzkRJ3cPMsjZmR1oTOGohKfHf2eceOXzyEmzicQ2G3MwuHBUSyCKlWjKRXMl6ooE8oSg97byuq77Ws87vckrXoAd5eKSbxNw74hX8fI0TZUEy65uXNUtrDUVRjSTsoEBG4ggQoHULBp7Rs4U68XWq8FA2zYiEbkjKAV2C94CUAqZYvCVVDj9TaRJ7j13z22akCE2s0CajKmac3fLSSh5TrGeV0ijOozSjhfnh/VoaSkO5xVkirJxyjoWthCCW3QLqhorpLwIWB3nR8uFQLdKkzkfguXO73Cnb1ICOZvlEAF4zlm4AoKVQoWWRNxRamGLZhoO50ZLS6GqNWM4DFsXt4boJDAlpoEZEVEI1IwXq6rK2YIMzGepXmaYYYZfFNPO5b3yd9BBB9lUVfFifixr/cobOOdSL7QP1C1Lf19BPqXUl2zAxF+wlNns04CU6373u9/db7/9MF2mIaglZedKKssOIiOoZzCVOhwiYtnV0Klgni1wNhNIdIHrs577Dy98yYtEaHHzlrVr1rWpGatJrCijDrFpt4ZKHOAw0Ba5TXM157QIpuwVxzl1uGdBDmYwyoGoRCUDBCkJ+IjIeaXmbwjBS7rBrBzIkQBnsJu4BSIizhJz0ywRCXFNNJezxhhbTRVPZR1ZWh6HldjMroruztYbJ5C1RIFQ8o2pIxMRIZhHdKxaqYsyYEJ0XLeyoSVPnu+Upvw8WEX+tsOqkvY8/Wt//PZFwHZ4tmkiiG2zGa06rDuPO8HYzQiZgiOIE7szsnI2d/IQXAAo50waneCBSAwKyvAAD+AyAwweyNnJQC3A5IFIp9rDO2nPSmZE9jGcADYwwE5AOSHQl8fYxbDsENsTXwYZVgeFbDuePGmZswNGDs6MJAaAHcG60BEjGJgBNmZn5VzGU4mVKgcRNHgXMOFgkLGbwJWCUtg2D+KuMCkNosaxME4hEzgsJ3VIcBZ2I09cKvlQMGLTri+OBErkRKjhkQigFpTIAQi8SO/mU4Ep1ybUtvSI3PqCJUAolchBBuSpzxlgmLqTORERixGrwdyYqerGnDK5TW7BTvN07sxxe/Wg/bxpon/uL84wwwy/zehLul155ZV77bVXScu/C2PdL4he1lHVH/7wh/vvv3+RdbqUFEWcKq9NgJzZDWRG5oCTGTGc2ZmcyQmUnKDEXJYThxGsFP5Ui8TgoFTMpuTZ64G3OYHIjJnqKKy5Ec4GOGpFABykjMwOtqDcc6f+vT2p40Ddr+jdv51BLcgAJWd43SXvowwegZKD4DVsMPHd1qLZuLu7BgnkMFMtVvC+jt72FRGKlY7diAwOJ7hrlzDF1W1SmZTMOt8pwHUqncfqW7L9y52IJtXIrltdh13DaSrGZ9pfcxtG0jNinWZmxYHUt43iLb+S7ziyd9fkbwf6H6wQXpA5zBxws1LKmUBuGcQwNwMsO3Phx2QGB5SdYXC2SalagLITACM3oCd/MvXzqvbYlPhnZa7ZVE93Tv4mvPBnob+cOTF5V2QG/UlgDgbIe0pnhfiRq4LhZGTmpuplJrpJabeSGqlBgoEMBivj6W5AdmJyU1i5gd6NthngUC/fuC4gJ7dukjq5ujnMACFiuBdbdonFdTN34lCq+hJNHA6M4TBXkDm0G0l3IsPUvL+WSVacCoc2wMgZUMC7u+mTRD8rFnYTYoAmaVbdtXuRqJYvWueICUwGbFfkb/vJvLPPfz6sOtsO5fMZZpjhtx8+KelWVVVVVcVd74c//CF+ea+LXaCUPiqG4N6/0N2ZzMsCBANYzOBGMJA5mRGUDc6wQA5xMs7mAZis1IA5myPEYFDmCBbVFkAQUqOUxizcpiRSu1vT5BgoWylvAMCNjKk1lKuYIxflixxc1ilidPGR5sSGwjvNiR002fYbOeAGd4DKJyBzENxg5l0eEmNywIhAxKHYmHqpr3C+IsCuGj7qMuJZURG6XBlM7g5nkABUnJEmMZWFDgqwWieYnHAHt3w6/fcvC6vUqeuUu6yk1VjV0MJ4yFdvVrocHNcJTOQCVwe47CeYAKGOqzMABgHCzkRlWhSJC05F8UK3FwHEmbxE4oC9/Om6uiF2946dnXjSG+6CTbfRUFc2JdceTixmDBiZEwgCsDk5A27sCCgEkAr54yJZOYNgjEgGIjEO3YcGBggEEDGDmUNhMOWR5q5OIgOg8gnEnbsDALquGrN5R53KZYnYA8TdsjrBFbAgUui1mYkYQSYqsk10ZRAxCOWp6SZS6Sn3QdDXcjz7H7ln5OgeLpncMOk/dzUiMImhkFiHE5hZChnnftZhmx9+w5gJgTPMcANAqUVegjBufOMbF7eWYqj9FV1xRXcwK1bNrhYXUYyRlJSgNFlbCWyTVY8ZZN69qFkM7OTMjMJ/iomJASZC04xijG1O5jlWYpabNtVxLhsLcxBhETc2cxJnE+9sWsREZSGBMygESgp2BHZjAGCjABh3OdEYYPGyOrAREwIooyyAxhMLGoNC13gvFryiVxXdo0Poi6EJy6TLXTj0NiM4LX25T9QFL5HDcIf7NoIBGZy81x52dEtWaWPl53L1Vcf8gvCd//ozl1jf/vuYqJNdFpup7GvbH7vDc24ztl0QbfkDoLbyx27QFT7Rh8i42G7Vy+WcO1c5EGDuDi/SITlQbsB1ak9hEF1XVj7vhbpeI+RO99y5j+NUD1dutLN4lw3bjYs+BwcrwHBxdzcjOLHB2Ynd4WQlZMHdScnKvsvh5EwKVzI2Zlf3QhHIy9A5AC2tLI2CdwK2YzI5r+MEczi5FgO6TxwGAHSxwKGUn27cLISqqkKTxvAAZ0Lh6TwZM5tIa8X0P3ms+sl1bdvTjfHUL72GvQoGwM2Y2T1PWCMXSbLTvFeL2dct1HdnD+wv/iDPmN8MM9wAUBLBlvgBMysG3+Lh9yu6Ik3KKxBRid4rPuslxEScfMqM5w4FpDifOybrCBPUwOSqbt3iCnPKcDZUTp2TInEMJGaJyUMdXbXrcqhzdndlQdu2IbJbH3OoZT0rvjoEL43xskyCtFPUnN1BZYkzdjO4ggU+8aAvjMBohbKUfhCgsGKjU5mwO3cPvbm9T8y7wzxt2w2orFrdd/Rytl34DBH1y24hf9M/b+M298sF9UokFePpjg3BvhILEld1YZKjZZoYXbddyzbBKBPxhjpCUMBT/wVgq9o5aUkRhEEOUPnVeJsV+1q1bdv2TB8/fQdt2w8BL9KaTRqz03NSKVLhk19I2EwnfydnA8HJik3U4UDmooRNkkJv039ncnbehp2SdR6KHXhiwVwxLm/f650Z7ncBmngdg2Cg/pMSFFJy3IQqBpGc83hxsa7jRJksIiSh5OskcjKUDV8378vkzDu6ZeWT7R8lm9577AL9yJTnmsp2k2giz5uuWHivw2SepvWYuuk7+3yGGWb4XUZPLUrgQvlwFzFt1xXbv3PKJyVMs23bbY5xGAkALvt4GAgOKMDgQv2m3oamDGYu60/J8dwZpgC1XNVh3Hpu09xQTHPTLFdxgZlhgYiE2ZxEyMEgmsqv0pto0SlBBCMmTGfDwIQt9ity9+bvyAPKcjlZBDtjl6+Y6sjKCUuNuzII9IMffT+E4L5SyKkk11k9qL0B0BNBinckkEvAB1zgVTeklEDlQy5xNju7PdMSYx9iOR188MvCNrxkla22M+BuL070C23Y9lfbUahHb3H7OcygU22ZeLw54MS9WbnLP+cQSCsWDOLIjMwshuBmQGZ2QjAThxIyQxzBTOm6EdOJDx9vw4m3YVFAiZwAA0Q2FQ3K23R+xb+QVj5RqaqsQZOxqhBcyEMiygyCDUyjqTJaFkcQY/ZcNEFjGKlzK+5BKWgFlyzehlZZAYoagrJy4a9GK+5rpYQvr7SKuph2gk2GfFfkdVtwt7sig7PBqWTEzFmEmIO6mQIAsQuxWgMbAgwagUfwAFuAB+IMHgOTCUnWxe5QO7nK9BV7TOWjmRRHwcRHZPtjpl8Q5U9sXf1G7x60PgbIsXrv8ZvEDh1nf8NtmmGGGX5h+FT4beGCv0Sb7842nH2i4kFVF2+/zmJTQi4wCZhDxwcmK2DHz5w6T3gjY6u4RFpAAYIPAJPKGs2OShDdxsLK4JyYxCarQ02QbElCSZASySM5QA145AT3Gl5HX04czaNAxXNJSUHQysYEzRSVgngOrkqSUTO08/DrHLGmfPdXb+ZXEpuUvlO2xMTmViqWuPu0qkfTitxkGOGdLxFNLHBwIZJOiSGnzgmdDRNtajv0O4Ci9/Y/OwLB+vb1d/S6vvqnhUkvNvXu85Vj+lPSdgvMVGES2XYAfjb526E5e+qi2zKkqVs05WvPJRde4e4TjzGCQwViDoczlEjQKb6ZCYWomoE5F4cvN0fZo/zM9nQLv3Zeht2wdE1ceTCKTMX9F6RXQGkb10jfbqCLlJ2JawM0QwxMJdA1A5lAQA2DKgQKcbBMjbNTUTSTQMkEFovrQRbNUAIqBLKyYesbb3ADTRwji1bvnfbGVA6Yeu9ciynmDphN4py4j+Uwy0yE4ks32dkBIORJBJYBIyDA625LRhmAuwBG5ECYGuqf9TacHNnz2qm2b0f+pv5ExVFy20u4l2d5m2/9rHHY8ZTexVS/TpiFeswwww0SJRHb9OP8My2NvzR07j/ev08yEwHSaWTdG9UAnqwPHQhOpiie56Ez01ECpLzenZKBDAGGwCAkOIDoUCIyK5Ih1MFsDidIsTeDDWgAcwwNLN441VqWcjcQF4c+QYJnUFQEQYYrKCpWj9ouX5FW2FY/+KEwP1Ul7qqU8MrqP/UqX2GB7nC3wim8JxZEK7xqRzESkz/9LN+dMjMYO2Yq259qZ0vCKv7a2/d8IoOsNJicsMqd3Ka+vuv2dsdvP2LbsM+pxuw0TBJejIn9rygEw7szlCHtHBPc3MPEQaCopztq6JRZ0536ubxde2xXK+vUlmhXduTSiCnD34ryVz4pAitg5lw8+KYavdNp0fnwTfzjyNx9Ei5cOuiduwY6943tRmLCWd3dp9pP/flXGtGLZD+banjxe1xt6CyOGt1zAXe3iWOhd/3w3gI+NUO6fvTW8enx2Ea4xspXHZ2q59S5pwArZ++PLz6l3Wmpc9hFcW6ZbNhK83oqXD7a1aO6/ZTe9efTo3RdMXP4m2GGGwx68tHVw51IP79SdIsRyM2Id2RdnPA/AxxsfSXQyYJigMFWh8FOQH20J8NKKgoCrIuIZS7ud2CGuXExx6221ezSR2v7V6Cbb2fW2wkPmDR/26EmT5sRFhrjwFBdJokZMQLBAMpQRahdQQwntHBObcl2WG5b27ZVVaWkIU7GyospqmtswJJjkDSIQAwoadVIYJQjZbh5qqkiODwxOax2xjhZJSwEuMET2J0ogQQVDEKAw5CdIWB1KzGtAnhWZlE1MFHxZZ8Y09s0lqoSdysx2kzlHmS1IMHNmDinFGIsN7PrXajGyaRmhpEnJs6gBAZomKnzyAzIYAWRk5iXqaXqIlSyQ1Phl6XIAhN3ypkxODvVRGgyIhu7QdwRAVgGtWBqWquqeQApqUQqSpsTGoIDA2dSAqEVJCAClcMNJHAFAYkRCMU9lIVgDndwcDei0LSpruK2c2RE3faizF1TJIAdQTomnBytgeFREFpKgsgGKhJ4SAoHAqFsJhRQEBySSRQYOGAOpuyqLABK0rzi/JYAh1clgt0BQqaSh4/VQyBiwDSJGADX6M7gIi97qQWSnKviuCFoAABiKTAlzSTCxQasjCAluUxWlHhoAwIyqcEEQbQ4h+YETsbWohKrYgJiN/7FS8FdexeWyQ8TMbDss9gJ4sXfr3yVdPKQlkBmTOZbBhSod/zw/uphXSyI+3bV5HxS76dkup7euPfHu7uZsUjTpLqOliEBjhYAgX1S7MfhoOwAIaIoo+VxmNqSli2oapdJiin09H2m/80wwwwz/OIICOLuQlDTKDEV0orOFIogWT0wAWhTS7Eqb//C/EppDQAhiE/cE6msmn1+PzeiiTpZzFOqMCBGM3e2QCHlNAgRxFmbwLUZqsjkMHXmIr65wRhRTaU7PQikUClOS1S4FLEIHBJYzam4dJkzs+e2qioFuoJdRG1OHNhBQUKhZSxcmJ/mzEGKFz+SDypWQM2lLFIOohBRhB+H5tQwqiAEpywSVJ3ImalpmrquAbQ5xRDNtIRUj1ITY2SwujIFd6cQ4J6zIpAQe8oEQCKgIUbvosBFkQXFSkiMLuAA7mAyy8JB4WoQIQeIgWxB2AwEsEhq2xgDiFJqYxyAUNdRDTDIxLhNXfSPMXNx4ROwwsi9TV5X7EBSjcIgngjAKMfBAWdZsSAayAGGO/FkL5QSx2gpIXCRIksURDdZtlOtSqBTcSzQwisluo/cnakiRptADAldwTohggJtxjAAUKgAAAcJjeeagruRUM4mgU3BDC+Cl4MoABlC1kVSF7ZrABNEqHTFwVSqj2zevPmaa67avHlzIUDFrQTgvhglEZFgPG6DVOWRMsvEykxm3idkBgDKoAw4ofoFH+mfDyGE5eXlubk5n1RVKo95EfB8kvupFNAstXY2bty4sLBwoxvdCF1VaxaRJrV1XU2H7k2bBSa5DqfMxBPttHf8KORSS2m7zhXEAV9lKpphhhlmmOHnRvjS5z5Hca3RgClBG6mqZJVliLVRNJObxSDimjlI4zrgsLCwsGHDht133x3dyxpbtmy54oorUkpNGvdJdMqbOvpiQu20pmlzoFxRS2oxDDWE5dyu2W3t3nvusXZujZk5VCQubln6wY9/tGnrYiXBUiueY8VJW1RhlDRQHblO40aEYs3LaSRKg/mFraNlIqpYKg5VCFuXlurhoElt27Zr5xY0NQBceDk1a+ph2+RsWg3qnLMTCVHxA11aWqpjBaCqKieUyKAAbTMGwzXLzdZ6wCk1MQzcYm5V2NQapmowXJtNF0eb6wEPZG5paWm33Xbbe++916xZU9bRGOKWrVt+9KMfbdmypZQmzDkHqcyMarPlNMd1MreKGtggVhinaDCysTZzaxZGo0Yo1MOButvy2IlcSAlGiNkrhRGSQAN71lpCSZuURs0gCA/nR8vL69at2ffGey8sLJTFNVbVpk2bfnrZFZs2beoqJufsriLinHLSGOZh1DajeiAkUDOiCOc2jauKHTmEanlruzC3buRjcoijK3NHpR6HgUxcxUEmjqCMzFC2dVynpokxtjBjatu2AnM2EcmMrt6FI5QMQkTmLQfOaiS1qQiR6XhuGFJKakI0hPBovGXtXL20uDishou5XRvnkLUVLENjjEOidrRcDQejPKZs6xbWbd20eWH9htG41WQxDrIvO6sgQgNy65KIK7OKYELLoDZTZT4UD8F1fv1cP/kvv/zyG91oz40bNxZuNCmNI4UaljpFJCYS3SSlNKhrd1Vruu3TtuSPWAF3u87loX8pKKIaMxd61wcF97FfpY+FC5Z6SgB+8pOf6CQ/fPlKCGHz5q2XXXbFlk2bibUof8ziFktPibUof+4CZ+YELxFm3J9hbm5ujz02btiwYZL+aqWFv5HBmWGGGWa4gSEce/vbmw2JGWpuyxzrRmMlxUcoOYmCUcQ/Kl5CUNXvfOc7u+22W3nji+Caa6467LBDi92HqIhHMLiZBYzMa6XaGQwEmLcNxaEZlJEtfe87311/0Do4mIJDv/e97xxx1M2L82SU4vOosOQiLRBQc6d3IVumAPGQS74bQIA0br596aV1XR911FHZNEiw3Ba9LZtSYB1rVdfmlk1jiIZioadS8ze3KcQ4Wl6+4KILjz766KqqgAR1SDAzL3EC2dkB4aQtxbpNzqBBAMgMreVQ6gleeuml8/PzJZpdVX/yo58ecdjhDuRsRFRqKJtBeblCBQ0gZPcsrqmZCwMyKoZB9ZaJCfyVr/zfkTe/5SBKMRVOAkNWwnOzK7E0ua1D5ZYCCxxqJEKudum3Lj7ooINYhEXU8dPLLzvo0JutxHCbBiZ3N3J1jxR7071ZAhG4mNDNXQOLqgtHZE+RCB5KMEbn+lqcF3IXodHV/UMuWdTbfMkFFx559NFtaj0SE0d0B4I9EwHMZlxUPwaSQRzsrbtQhOGb559/0EH7xRhDHGaFAkFMSuiGIgkiGAaFZyEHokHgVgRQ029+47xjjzuuaVOItTA0QWI2V3gsnQTlUiy41EoBtJime9fF8847b+3atVVVjcfjtWvX9kJ4lzJ+Uhu6MJWk4yCVmjPNE5BSW1UDdE5+XLzuymkBdTLy3wz5w8RUvbCwACClVPLgl2qbhZb1RTYXFhZU1cy2bt1amF/vxAOmyy677NBDDy5mX3TVHakLZ0Fn4LbON4DMGuHieNAZf1VTCOHSSy9eu3atSLeN9B3E488wwwwzzPBzgqFOzDmDmDlEZK0n3j5N02hxFCQy1T6zHTNfeeWVmHLEvuKKK8ysuP70zkKMQhmZubPFKZDhKpRTMgMTKombr7lGiJm4vOKL3sYMEWjOsIQ2QQRgLhEwkyUkhDDtIKmu5lbV9Wg0ats25xwkACYhlLAI8+zwqqpBMEMMsVXLWoooUzYtpaPhPpybI6Ji0XbArIUtmY01uyZmF7DDU4hx8zgjllAZtE1D4BC6xHhFVCtrpIgsLy+bQbO5IjDBkBoTKi73VjpAQgSWGLvIWUdWdxL17MjMXNdiDtPilWpQdTVzK1yCDeYWQpWhxJK1dc9CVIy5W7cssYg7qQPE12zeSgQHxs1YPQk7oG5J3YUEyKPRUqe4mDAH01SCUpmDqktxlAtdfscuXqEbr5VwBICnisW5waqq2rq0VG4xl8ienOAKy9BcLIJEJRnSxPBbKn4UR03GaDQazi2EWJuBCEHg3rapgTtKeRRNmFAZQqnq6Dmbwzspy6yqKmaYmcQEN4Zwx79gEIZ4VxxNDMGdJnEa6u7Fz1VVt27dWuhRbxgNIUxrZmYWJJgXxzWYeVVVADdtQxN+2P9Tku/9BlEEaUwqpq+kfxcp6RjKE9E7fpTUWTSxC5c/MXUvh8LTbCdZxmkSHF6YX6m8WQzERV/csmVLiZ4pbSgtvPbvtRlmmGGGGXaBULy9osDbRNzFm1iGMOrBoIE3WeeCMImpMktKKYRQFrliErJuKWXA3M3U3Kcsv0kRuhIpY8eQRIRE2EtcDRmXwFZ1MJjZPI9HozgcluWwc0br4iQoZa1INIMFJGhSM6BKgijAxAyCg5mbpolRsiUAgaW4bcUYDfTpT3/m3HPPDVU87PDD73Tn4wkwh5oGCSRwd83KzKPRiLrEN5FiCzSs/p73fuSaq5pm66aFYR6lpVSt2eMmh93n3n9QCeCoquhmEzpq7l7CYsrKWHzYmbm4LLojBkZJ6GItnEBSEk+reyRYshCZmAweSAhoxsvkXeQNSvEymHMXt+zLYx4O3NGQOSBAkKCmMlkxc86FLTGxAqGKSTWKDOoBIblmgrGQIDIsWzMYVg5kRYhsloOIeSKKBGlTlprgnk0plHJq1GX1KUt6929xt/OJXx8FBAdijGaJmYs/4CQbC+BWqhkSlcx8UIcYENmhQShrNg8gATjnHAKnbIwU2E06OqGeRGIJsFW4dJsPENgAdx2PxyByV3MPHM2vYZrzZadBKOkxS+g3kSsRQAIp3BMAIDnnwpNEZO3atWVsaRLqq6rMHf/rbj3M3YVDzhYCA0gp1VW9DV3uRqyLafjVPOk/A0TUs71C8op3bK+3lWiPzmV2EqlX3gBEVDqbUopVVVWVdTl2nCfxaJa7IGjukqo6JjkBvMu/zxOex4ULMnc7B/fO5+83MjIzzDDDDDc8BIMBrplCiJ/76Nnv++CHvvujq9Zv3HPd+oUty1eHNQvPO+mfgw+CMIsUSQBAb+HFZNkwMyYnIhLqEiO7wW3zZZc94anPuskRt33mSc8gQuNpSNKaB6JCRJgIZiwMogxn5uFwmOFmJCLQBsxueblp6uFCDMFLFKEj51zHmp2T5gwPUi7q4/F43Ya1WClYZ5qzxEhEb3zTG8/90vnPe97z5ubn//EFzz/2uN8bDmp3B1HKydXqugYTmIrnu5mBREiRti5vbd/8utc+7GF/e6d73rtpr/DKPvmlr5786lff7a5/MBgAmkIUYi55qpmlrutiDeylEe9y/8KtJPFmN8ueowS07de/fsFBt7gFxRgotqrDSpyQEmIMTbtUhzA/P2+OLrcvOU9K5xkgzm9507985rOf+6dXv3zuRrsT2OBenKgcpsoiJf6g5HMjTBXQhaGLGadPf+Qjt//DP3GosL3zPW/74U8Wn/i4xydHZAcaAmm2IKiqOucmxBocgEwO86lKx5S7YjVF2oOCkgOOWNihxODuIiU23gDzxS2Pf/zjF1NqhYiDZScPxJJNn/msfzrssJtU0QJzFHaDiJiDOJghCsMUlonE3M7+r0/8x/vfPrp68+2OOfavH/PYRdMY4+7za8wAwbht56tqOBwWuszMObcU0tYrLvvBpVcecextjJHg//vxj93tbndJQAaTgwxCcKykQSeiIn0VjtJzo6L8AdxHxRaC240zMxxZLYTQtOMYYxdY1SWFQX/yX9nDfq1QqFhRN6f5X6G8pRZncXAEUP7qk6ytVVW1OYUQmEGEUoMP5kTM0tVOLyg1TwB4xyMjEZXNCRF6J8I+ynhG/maYYYYZfokIBHEgBCDn7337O0978t8+6nF/265pX/ziF7/t3W87+ra3fc3ppz/h0ScO5+aIEFjKklYsQZjoAZPsgARYl3aNuui+rZs2f+tb34ob9h01CDUqii00gEoyFBaHGpjdkN04dOkzQMwMTVmCIKUXveRFXz3vPIP8/TOfd8xRR6MkhmD54Y9/sBDndttjd7XcZxacmxssLi6iMzmZEEtVWUr/+va3HHTQgSEPN+y2W9EVzjvvm2Z5MBjst9+NN27YgIBeqysmYCIq3mfgEKmlPH7Nq1728he/BLW3IS2lZt36PciySGBEAG4tcVUUnZSKt1OnoAiBGGaJSEhKKGkmV6HgKb3gpOe97wMfOe5u9zrpxS+rqjAUKdGmHOBAXc0T8tLSVmZTYyfv00F3GaDd3/ee947H7aZrtqy50Z6GYjRFdosTPpFNicgc6i5MblaJoBSNKUmKl7aefsopP766fsD/u7Px+PJNl3/vx5u3JsxHqGsg23TV5j970CO3XL2kNpbaD7/FLU4+7cz56EQghBIdTqUSr7u5F7GNGASbyIAwoG1bCQGlOi8cTMtbt/z0Rz+8anlp2cxIXFkoSIiN2g82XX1IfQAQ1VqGE1U5qxWZzwHNIECTen7U45/wjfO/c697/P5eRxz1qY/993vO/shw425/93dPv+vtfw8ZDlRVBaBpGpQyNm4hBAexNc9/zrOe8Pf/fIvjbyOBPvvZj37j/z534lNPyoxQ0ijCncTh7ElCpd4FuY/H445SA8x88cUXP+95z8vZqqo688wzh8OhmRllpk4qA0sIbGann3764x//eLgTOSF0dwug61iO5ZeLaXZVmN+LX/zic889t/AwVb3FLW7x93//9+UBoS7TTWftxSRbewySUiqB0qYmQiCY2SUXX9yMc8qtU54oekyIWZdDCHvttfdee+wp0vk79hvLVZjEX88wwwwzzPALgdUtW2dsqwcxRjEz11wMOgcccMCjHvU3Z511lpmhC+ZYedFj2xJtJf0zALjCDO7IqppKBeUY4UDuMg2Sdf5ZYOZSNaPLwuZKkzWwXOuqK67YunXrO9/5zn/5l38566yzrrrqGjcsLi5+6lOfmh8Mv/GN89vUMnO2XBKFFH2iSG1MbKpQ/dCHPvSWt7z1ta993Ve/+tW2TQDOO++8iy666GaHH7a4vPTtb39bp5axvl9EZEgOAc9p085HTctXkDAPN77mtW/+/Be/8Mf3vdtrX/PKdgwipOTE7ugWqH71Ko0B2aQMi8EzyODZkUfL+QUveMHHP/GResCf+cyn/ukFLx6PXB1qqrCppY7ruoZrsW23aQxyaAKD4Dk169atU/UYq+Iplyb+mSCQMKjvEUJ/UivfBgxIOagtVIOXv+Tkd//7uxwtWFU4McYGkJkuN01zn3ve9wuf/+yXv/zFL3zh87e8za3/58vnFFVTNTmBCJozOQgQZlVXhYHH2pbp0kWOcpf5w1Ey3kECARiPxznn4jynqqNmTERpWLVAgyxMRGzaCZ4OpCaBgJzyqHnjG9942VVXvusD73vec573mMc85o1vfKOI/OQnPwkhqK4wBofHUGNS3FBVM0CUkJef/KSn/s/nLjQ3y5vf8fazXvSSV40aMINDC7JUsih7U+5syWtUDKDu7mZXX3XVq175yte99rXvfOc7TzrppFNOOaX4ybkaE7l70aHdUOIkAMQYJwraxO3vN4ri8DdR2uDu97///csnKSV3f8ADHuCToetzAfbzvOsJwJOEkN3TRKaqZ5999n777Xf44YcfeOCBhx122E1vetODDjro4IMPvtnNbnbQQQe9733vc0LK2u0Jt83C2v/6Gx+iGWaYYYYbBgJToOJjNU7FpnPkkYf/8KdX/fVf//VeN97jnvf7043r1q5bty6lJMO6uP3t8ERm1qV8I4LI0pYtD/jT+2/atGmQl2Nc+NrXvnbccSdkyn907z/85+c8V91jsQtth55+mZswQ9PG3Xc/8sijnvn0Z9z29+64uLh40UUXfXnT1t877ra3uMVRl156yfHHH5+6gsvsE+8xn6CUblXVpaWld7/73es27CYWsuKkk0564QtfeOl3vj0/P7/HHnv84AffW6U09L8yqM1acxAKabx1bkCLhuVEcxv2DqHaf989DjngZmecevpjHnviYK4Y8Ahdx7Ypydq2LWAsbJpZCJ5z24a6fvVLT/vIRz7SjDbFwRrmuf/+5GeEB8986uM2LBCYHRWK4NGlM1RzMmgdK8/j3DbPfPo/JPOXvvClo9GoTYk5fPAjH3vxi1/8lje+8bCDDuCdLJYMCIhL1TsDTCEBhtHysmp1+umnN/TjJjUUq4wSRJuDYDgYaCZTcBTFCIGd47e//d0vf/mLf/GgB7Xt+J//6WXPedazX/j8F37/R9/+4pfP2X2PG7/9ne9eWDdXhYEha04VR52M74qp07JlFebAosLq7ihJg5mIkvAIqEBqWcDMVFWdM+KgjsgJDlL70Ic+9PDHPXXtbuuSjgZV9e53v/smN7nJRrfBYNDPSppM1H6mMUhBObdwCzL/9Kf9w0te+sRB7UT2nvf+59a89gXPeASqnHNGFdQhPMnUXXj01Gy54IILHvawh61dtw7OBx100Iknnjgej7/73e8++zl/RyRP/7t/uPUxt/3MZ/73tNNec6O9d7/xjfc2s0/+98df99o3Nm1++tOfeatb3SpGEflNsptViZ1jjIcccsgRRxxxwQUXVFV1+OGH3/SmNy189zpYYCdFa4bD4fe+971xM2rSuGmWdtt942U/vaptc6y8ruvxeExEIUpWD0I5574SzwwzzDDDDL90sPdFoiIbsNvuG178kpe89R1vece/vf2f//mf1w7nMwAFM0OVZcfMDyUGsPAtVRiKhJNzdqaiKKiqMFtWAjApU9EpYbTClFYiB4to544Y//Iv//JJT3ryIYcc8tCHPvTHP/7xYYce/JMf/ujqq68+5phjzCxGyZbb3BJRTokmpQiCVO5dWrLySdLUNvaP//j8pPnD//WRbMnM2nY8NzdHJTAUOl0a1d0N5CQAxSiVsGdVGELkEN3QLC3/76f/+4c/+M5rX/c6VfQlYbbHYDAA4GYspNqCCGQvf+mL3vueD+yxxx73v/+fuOsDHvCAI464+Yc+dPYb3vAGkPdlkUvEpLu5uxCbGUEpBIU27ejTn/zE05/61Ca1LvK2t73tZf/8UjK67KdX5NyV+jJMpNkulracM3cdLRl4nUE0NzcHoG3b155+xuc+9/lQ1bnL3e0AqeGDH/7IbY+9w+1ufevb3e52F13yrdv/3q2XFpOZOZoQqWkaN2obe8iDH/K1r375T+7/R9+88JtOAgggVYilI9tRBzZ4VgVT7x9JRMTu7uqWzQTCHIpiZ67mCAK3Uk/Gzaxpmt02brQS5tLmh//NY/7lX970pje96RZH35x5R7VxJqEpDI6xJhYzy5pOet5zzvny/1XVwFw//rGPnP3h/4IiVlWjJTQHun3JMgBTVv7xaOTuJRfMG9/4xrPOOusd73jH29/+9s2bt55zzjnveMc7nv3s5+ac27b9yle+8i//ctZ73vMfX/7yl0uI684mz68HfakSIso5F3eFovaZ2Z/8yZ+UFJVFMd3+697dHbPpFM8lXhjUjsbD4fAHP/jB7rvvvu+++y4vL++///63vOUtP/vZz4rImjVraJIsxqdExBlmmGGGGX4VCAzODjgEUNefXnH5a173EpGFnNt6odrUtMff+Q+7pCoi5sa9g1IPIjB1Va04kCvU1q1b9+73/EcV4qXnf/lRj3/6EYcf9urXvV49z9VMQBTu11Db9mwd+aPuZzhDddPmTW9729vOPe/Cffc94M53OP5Tn/rUfe5z73O/+bX99t83hrptc6hCiZUsykSxGzpBWNwhEkViFQdR6q3Ly4NB/Yy/fUYynV8zx0CMsWlGDvWurElx8uoIU3auJULHbU7JSClkuGO0PNrMvNdfPfjhaWl53Nh7PvBhiWhaVFVped+dsvyxmrmVWAsSiYAZ+E4nnPD5L1z8+te+6APvf6ta3meffR7yyKf/3VOeut+N9yZywMinB7v8yJUEhzksVPEF//j8f3jmP5zzpS8TqkbpAx/8oIfwrH941p1+/7a0rfa46izuTozOOi8RllS9abUaRDN70fNfeO6l3z3v29dUERFgsKkr/L5/fJ8nPO7RjPSXD/uzk57z3NYwN5hjIQDjZnHNmjXtWNctrL/97X5veXnx8MNvVmzNY80VdwHBmPgjOrxrIBlB+gEnIiqlah1qOZjXzAQtMiXUPWvHX13JHSzEYWHt+h/98IdHHoNMNqgqZBAhSid9ZvUiqpXMQyAC2NzIAU6q0np0zmuH9PozXvehd535nv/8kHPzhBMf9kf3vjsoOYhYAQFFIvJtWVqnMZfwDrPBYACmb3zjG3vttdcBBxwwNzcXJBx77LEXX3zJ2rXrAeyxxx4iUjTshz3sYcvjpoqD+9znPgcccBPbxe7hV4y+thsAIiq+CmZ21FFHHXnkkSmlo446qrC68tednWc6J0uJ1C0Pw9zc3L777LPXXntlbZzyxj12r+Kcqj/taU8bDofnnvuNnLNwZC6eE51xefq0v8rezzDDDDP8biFky+BoDhEep5YD3+n44+9813vWVQXGd3/y4y+ec25q2nJ0iViEr7yLt309k5kxAcKedWHdOs95MD+XNM/Pz+esCwtdaj7NJsLe+W6VDCelYG8XO6zuRCQhILXati9+8Ysf8KAHPfmpz3juc59/5JFH3vG423/hC5+/7e/d9v/+7ysHH3DY7nvt0VpW1VoCk5hZMhWRbOpwFqHgS0tLX/rSOXNr1yxds6Sqc3O1E7K7E4xKYrkuwxyhhCtMVkEihrmrOnG1prGtYcDgdr5mcoQwjPNhbo0RjdtxWw0mtbnIpxVEAKoOKuqOaXYJsarkVre67TvfdZfAyykpgecG8xvXy1lnnVwL2EcEKVldiFGKnIJCzsYsxO4AV3HD7ru//KUve8Ljnnz+BZeG4VDNXvSCf7rTCccBSFmjEG8TQ7DCLkIInQzIDDM4KFYUq7Euv+SfX3jCHY75+oVvWr8wjwwKEDBRyDpurM1AXcVTXnnqc59z0kkvfaW7f+kLX/x/f3bf5eXFLVu2DGppmibnPBwO27ZVNOo+CJV0gz3xhvQ+hZtP6k0Ht5WI4ckegAfm80DOrQkzgjOVfI9mKkQIEWZhOPzzP//zV7zmtFvf9vjd99sDRs3S4uvf+pY/+cu/WL9+fXCIkHdBSCum+XIVVuK40FCcX8AZbzj1wAP3+Y+2Nhr87ZMf95AH3YszNMcsuRJKNgqodlg3m4iOOeaYZz7zmUcddVRdDc//xnmvfOUrTz755AsvvLBtWxV85jOfvcfd7/vZz36uafLS8iZ3X7du3cEHH/zEJzx5OLcAoGnUt9tV/fqxjfI6iWJ+0IMe1DSNb1fwt4dPpV8uqQr7P5kZw818PB5fddVVTUr/+7nPbF3a1KR2OFiz++57HnHkwe4eY6xipeohsDvKpC2NAbCreuczzDDDDDNcd4TAUQFipLadW5hPmpebcQlmBFCFuhmN5wdDMk9tK3WcXqHcV4IbsuYggbt0aAYp6aODQYfDYdM0gyixUA/1IF0KDMektGeJqZ3a4ruD3CGSlrOqHnjggZ/+9KcXFxf32muvWviud73r93783dFo9PnPf/5e971PCCFwEMCyElGpPTVxsbec7aEPfbgSNi8tXvnjK9evX59SdqYQJMNUO4MddfWMO0wSFcLdONTmPDavFhZGzRgZlZgqlMBgtsSWUVK5wKbXqt7cKhKJpIv8DexmRBzj0AFt09xwgblaXl7OGcMabspMAEtRRh2TNMnMXZxMGFsbmWE6t2bt6aef/pgnPeXC737/Jf/04tvf7vcCY9TkYR0E1gdeoyM+VlZ2K4nXmFzNNXEVc8Ot4wUvOume97iDtZvWDdd9b/zTiuAZLBFkoUotJamBjN332Of//ckD//E5zzv5pJN++tOfHnPMbY4+8pg9Nx6QFXUMmhLHqqrmqK6JWdEwIAhIQA3AQMSdywEBDmFnApNPXAHdS+pG1E2qHBIiewkjL+TCGOYk5ObuVFV/+qcP+Np53/rz+91///33WFcPf/Dt7+9xkxvf7Y/uu379+i5hdikSATPPk9FgYhANWluiufq0U192swP3pcBJ498+7e///EEPSO1SFeddSu2ZVogw4UbT97gUtFm7du3Tn/70Bz/4wUxhfn7+1ae8eu3atU960pMe8pCHEIXnPPsF69Yt3ObWxz7y4Y+48X57D4YsIscee9uHP+Kh40bXrll/2mmnxXru53mCf0noI5xKSpcu1N2MiA477DBMfCW9S5GTdyH+rVbsiEOg73znOyeddNKoacxTNZBsasox1u9575KI3OY2x5Y8iGZghpqucvmb5pczzDDDDDP8gggpJwohKwZVdaN99nrms56FuPDe9304jxoJRNVwaay3P/a2cRBAyKZMOzZMlTR7xc8vxmiWS+KGg4888pOf/qTL/EiRMmIAgzwZVYydKB2qyhIBmBozxRgf+chHvuQlLzn85rc8+eRXRqDIUfvtd+P9D9iXPDgVTz0j7zLrprZtmqaqa3OQURwMAOTUbli/IVjYtGmTmaWsW5fGEGzduhXCwEqNeZpKeEuFg4xszV77/ucnPtW0qRrMnfUvb7v6p5fvtnY3FxdrK1JNVtexyT4IAIxWeYY53Ci1HquQswHo86WZQarqmGNufetjbnvUUbcY1HCgYsK0IyT5RGOV4sHWphyq2pHBDpd6bv7U00/9wWVXH3rwTZEBw6AOgGVtgww6gr6iRJo7SwwpKzOLsCM0TVPPzz/rec895NbHtrlB9j037nlUXDcU1A6AgWrNhvVPfepTmlLrz+gOtzvuuDscF4G3vvXNIiDUlgI7nvKsp4EbEN/xDnf2gMZdAEDbpqlCvW2UDwEOjsPB/P43uenCxo1Wx6zOEHI2JzAdsPFGISNEBpSI1B2uBGcWN3MmSHBXd/qnk/7xLx74kI984oNX/OBHD/nzv7rdCXes1y54F2DrJXn5RNudmnhaZ4xecdorD93/YGSH4sEPecRNDr2J2WhQMcyNyR1CFVNuvWWqd8hCJISDDj74He94Rwi15iwxADj44IPf9a53AaWyLe7w+8cef/yxbbKqhnm6y53vcsc73imEIYAyK9Rcdhak86tHH8Pbu9yVH/qCH23blm3hLnzypjwmOikdBIi8/JWvQPF1COiqtRRHDaiqBqn6VAEAhHfsATlL9TLDDDPM0OMX2RUHESkVGLLm4+50x+OOP8G8Ni15WpEUzsUhH0ZZYoDv9FxqGrgz+kgIRdxCyakGRAEDmlzCSjUIoKR6KwnrgKm0DmYQEWiW4fCwI4986Ute2hpxHyTqEJFsKVCnQBRJzLKKCJHUdZ1NheMkqR7FWBmwfv2aB/6/+5977rlSxaQtBaqq6ogjjijSWrFMTo+lIQOMah5qYC2G3T/9oz/+7vd+cPHFF7K46JhT+oO73I2AGAhQAts0+Zv0K0aCIwgDUHURSamLoTnsiJuffubrM+Zzd7itfHcSFlNUMVMwo6qqBslhgQhNi3puEOTAg2/qjkAAoYUxNPR2utV3zdq2lSjmKJJtLYOc0tG3PmYZIJI4WHvfe9+vcaFij88EpsBhGamWWGz1QUpJ3lLZ1t2pq6VCBleAgmCkiEKORECs5zDu8n8DXYGLLtnP3NyrzjwTllFHA5FzyeJnDtHONaBpmnqwICXiF5ZSinFQ7ryTCYllP+JmB93syCdxa0SMiEXzUAq/EBlKLhrqbZfucINY2H2PPcK6eVCGBTAOPPgACoioPI0o1kmJy9Q1lVKtZEWcnr7LDqIQo6tJCJhwppLNmBiewaUknjBgTJxyiqHKlpgiBwbwG2R+mErXV2S//rXS53UviRJL2d+dvXH6snWFBgJexHOYQ7pCiGZGHFC4INNk3wjmzkVwxvBmmGGGGa4Nfm7+FzJVwXNdkqfJWnMmAhelSXMkV0QVmCAgELL5Str9El0rIpoyAUIMUAiVu5tN/OWwGxHCZNH3gJIxjYg0GxFXMkckJX2GsIQ4NAOsKy0AETPLjVZVVZWlkYDOKM2B6/IBm3VZx4I0WlzXiSFlJfFJqCwzO+Gwww7dfiBSm2JVOZxA42bcr+sVgpdsy7yy7K/fMH+L9Teb9m0vxwfAjLV0vkuK0Vkqq5rV1KzLD0zkZt5lVfQBwgAOgU8UFUFHal1A7gyqCZEY5mpE5FRTdA8O+NABBOZQxkJKs3kSWYFSkSzEGt04Q0SG9cBzhvtkaSeWCPDAjFhK5ysCysQKAkgA1qKLHKZIKCZcMGHQ3ZdOrGRgrnww1/VnoRzgA2eQWTlrpAnVyFIYRuwCRamzwTPcAwAQcazmysRrmoYQqxgn90hKonISOFxAqLqo1fmJGb+EoUYWVSUOWXMIgcmNzGMg0PpqLSb9GXQ3NCCsccegK8fnQhWBVDWAIrGq1nXtTqWUSr9j6JXxie9E3X0+Yb3cDRHHEAGE3zJ/tp4c7yz50XTxN1UtHLdE9IcQCF3aTnMDmEiKd8G02x5PxkIYXaAYFfG9fDIJ91FnZjNn7kvA/Yo7P8MMM8xw/UGmJIi9adBMOZACZZ0hB4opEGIQp20CCtlhMAc7Qkht6w4rvmYACM6dlYyBQr2KMrd27dryOi72oDVr1vQxj5iK+NtGGimnnMDdQwilPPzi4mIxNpXqCz1zKqxFRIrk4BP0Z+sCcnMuK5aqquqk0PDKclXMuKXlO0MpaQDAzAaDwXQyix2uOaULXcq3bZtU+jUYDEqBYCIajUal/FeM0czati3tKR3sMT1EqlqIUXHAcncRGY/HfUf6I8snthPsbJxLLbIYo7u3bUuTKg6rbtOqXvc93f7OXhsQUblZRLS0tISiCqvGGMu9wzbSr/V9TymVI0soSZkn06edbvCqO1JQpgQzl7Icy8vLxeze96VkMCnYWYUJAGXcJiZ76zI5/4YK8v4GUfwrdt99d0y2nr2NeP369aWCTv/EbZP8ZVusmma97rh27dr+69guB+EMM8wwwwwMLqZKbR0Al4Lypii6R+d/syoMrwN98SvnDIRtNGJmJfZQj1utgoglIBtBORZbYkASaJNp48aNc3Nze++9dzmFmV199dVXXnllSqlt2/5FT5Oav6svOVmhc84bN27cuHHjbrvt1vsbXXnllZs2bbrqqqsKXymlBcpC23+9P0NhVACapqmqqhCFubm5tm3LFzFFJvo1froZBSXeUFXLedq2Xbt2beEHcUVhwvR5aOL7P32qcq2maXbbbbfdd999t9126/nrFVdcsWXLlssuu2wwGBT20DTN9MlXjQ+mmEoZxqqqqqpaWlraGRnd4eQwsx2O8+WXX760tHTZZZfJpOxvoYBlIZ+yjf6SaU0ZovF4vG7duq1bt4YQSoa8wu8xNbx9+5k5hLC4uDgYDEr7QwiFqW/ffdpWi51G6VpVVaPRaH5+vmmaQi5Lk/qtRT9vp1vS/zwYDPbbb7+y+RmNRt///vc3b978S81LV0Z+p2xp6hhciyN/UdBOdnGqum7dug0bNuy1114rTTErU+uaa65ZWlrqOXThgju7RHm0eyIeQqiqas8999y4cSOmSr2VebuzeT7DDDPM8LuGjEzOgi4NCxggW638kQNizuqIU69hStqyGxOByAxOsaScYHdCdoIhooiAnuGqHvulrhTALb/2y+f0W34X1GH6+F6D6X9AqQA7qX5VysyvogX9+XsKiMnyUxb1/kLThGD7k5TPm6YZDAarOMf0AauuS9slxdj+4P4kZXnrAypXBUtOs9Lps/WH9TR3NBqVZNE7HMzrOs79aUurejVrml5Pn2eH598Zdtae/oqrmtR/a3pUy1iVH3xS9q18fYc9nb7uqmOKzlqc1YqmWMyX2/d31Xm2Z/yF35fJeYPnIruYV/30LhO1bDPKXqXXd33nCWKmLzH93GGiB6+i1P1D90vo1QwzzDDD9Q3bSxuJskA8cWCAkHMKlSRYcdUqbl9wA8gplkxvK0tbm0dRxPMYYJKBQRpFCGDPBAORgQFmGKsC6jzovzz9Wi+p/4utZ7p9u14dyyu+qDiFG4lIH1Q4/a7f4ZLcX6g/sl+ep3/d4Rm2H9ayesUYaWJs3fW6tTMbd9+G0q/CqHrigm057vRY7bBr09R2Z+3fhWWtN4ivGufeMu6TAG1M0U3sZKh/KehJQ9M0dV0XRtsbCvtjptuPbQn3qs+v5UV7Q235ZIednZ7bO1T+ps/pk9zO2//pBo9+x1LuVD+SqzY220/1a3Pm6edl+tbMjL8zzDDDDD222OKQhwFiCSIAwamsncw9+UNJ+BZWFRGgZV+KcEUKiITKEZMiCMyTkBVnPwMLnEpRegrT6lTbtiUyY1p7Kz/s8E3dv8p7wrEK/da//5WmAg+xLSnp9apds5ZVtGyHg9gfXFjIqovuoiOrrtJztWlJCVN5NDDFfnaoY02rhn2/ChldRQR32P5VKP74O/zTtLI4bfHsP8F2Llm4dpx+h5juZt+RfpB3NtpmnfK3tLQ0N7eA7cgxAEzFZ++sXe7eE/pya3aRr277O9L3uheVS6vK8K7SiW/AWNlxprTKUt/f0+K72Wu32E5Hn8a0VXfVZJv+1vQ8+dX0bIYZZpjheoPyJmw5tTnNhwW2UkEBDjUicwYgbkxerL+OkG1bs+81fvUobZ2LNUMGWONWCyNZDuyCEvjLBjCM3OAAh1WKV0Fv6LlOtGD6nb6K2fQkDDtnBqtOtUNL4rX8euEBPRvoLVm/+KI+zTmmWfLPbGExdu/wr9emRzs8fnqct2d425PsX4Wg1VcS26Euux3ptGneDHA/LDvr6c7+tEMW+zMP2MUIFOa36/bcsDG9w9mhWH6dZtEqzX56nkz//CvoxwwzzDDD9Q/X+JYhzZFTNDHVUBEARalGCgYI5padAFROoKk3Nj3rjc9mMTaNNnj4A/8m6pwZmM2RAggqBlIyYg8GVleRkq+kOE6tsmNOL94/s939iq6qJQaifF540nQ8LKZ816aZSrmWiBQdwt3bth0Oh6PRqAQxrPrKLqI4y7VKtMcq0eJn8qGenZRvrbJi926IvaBY4nBLiMn02aa1DZ+4uJUjm6YZDofFyXKHx/8c49x3s6hi5U/XdXHd2fE7a5WZFVbdN2za13D6hJN7t8Lpy8QIoZqycW9PzXds/u510zL4veC6Skfc9eztT9JvdW7wmt8uZld5XsqWZpoClulaNlF9CPkulL9pybkP/uinYpkwZX6WoO9fQS9nmGGGGa5PKG/mM9971l//xUOp5dpDIFZrzJ2rOqkFjmQ6Wt6ydcumcdswD6tqQMg0iXEMec6Mk5h5m6libjgQKzWRhU0YwYiNs5Gxc2Am7hbXPhoDu8z4f21Qvj79Wu9PuDOT5SqUem5EVAJCdxgV8TPbWfSbVSrOz9G1VWfok4xsf86fuZL1BwyHQ1zr0dgZth/na/OnXxA7pFPbj8bOx9mmD5t8u//6tSV/+CX1sZykv8W/1Djf6xl6ejf9YRmQ6Qdw1wO+agB39miUX38LFdbt3T9mmGGGGX6l6F87HChbqrkWiBAcDPfeIENEc3Nz12y6SkTgJX+F9yJLGMXGKDM5eXCBiIixcHBkARGEAIeAyMFOQpR+o72e4XqGX3hRXPX1VUzCt/vk+r4G70LUnOG3DjPON8MMM/yasfLaYdRzw4HVGOWcTYJEEQNlK2lWAZ+YuVxEhNAV8CSikKNlSgGUgyNQTCIsBnVGIBGNRoCoi4mxcCzOgzPM8OvCtJK3Mz7068t796vHjPz9JvEzA8JmmGGGGX5LsNyMsyWSmmMMgsCAcKsWOHSeOG6MUqhDAguoS8nCzMEDnKDknsHEzEEMYIZAIAIhggUzJiERkpXyVTPsCNd18fhtO/66Yhfn/5kRFdfu/NeNA9H1fn5OD9HPz/+uLyTmNzg/rxfnn2GGGWbY2WK6sHZeYnB1IiaCanY3EDMznCDO1kXNCgszO2jF54/hxCA4ETGEQcxswkbuTGREBCIXciJnlDrtM+wUv6yAid/U8dcVOwx/wXbpD3/uZvzuLaK0k5+v41l+Q+Pm1/GyfF2/cB3x65//M8wwwwy/XKwK7uxfO63mlJoaQUKIHmAEYQqxzXCDEIO6kEQREWYnWVH+xDl7t8owhFnYAWFnhxZmCGY4kwDBobNouxlm+DVh18+aXYtjft24rlxu5kUywwwzzPDzQT1LjDWGEUJqboBatsShcoAJ8K4GQSfH0JTyF5zUyckZRCAp1mFmg0K4rC8sBKiwkM0qrM8ww68N1+ZZ++16Hmfkb4YZZpjh14BeCFRoylYphBgxCHFyOEAEIiYiAclUbYKCEFwykbkQCU0WkqlaY0B5QRMAx+xN/bPw2+bD9+v0SZq+1vY5CH++K17Xig4zM1zB9cUX7Qbjk7d9VZhf7vlnmGGGGQr6ZMAhhPKiCSGIMMyh2lqOVZUIzCBwUfyYmUB9DhhmDsamgbObMzkSiwNgEKESF7CDjL1ir51gldJ1dMD/bQN5qxSNWBxsLdydJVMAIbgS1CGZBEBwkCd3cSiIiIRAVoqosBNlh7tVMDAAhpODGlY2CmACwAY4wQGCcVI4AQKCOXkwMAhJcoCHTHB24ZahMIZVrmwMsBHAZLCSr1tcQQoYIPBYqvYRkhPgEU4ggFJH4F1IxYIZtQZmD2LKZE6VgpwgSOwJVsMlMzIjIIkzOTtRJhg8do1A4u6qwQxuYE4Ex3LAAhmBnHgMMNkAgKNxTo7gCGLMbACZM0GdDAhkRAqQQppEIaMCEOABDVmEizOcWtbQ8UjCap2InOAEczg5wxlE1/sNigcngLx0lYr2Pum3QboJCCc4uWcKQGI4IOQCANQCLYHhNbpP4JQMACK7XhuxkCZBx4kQQOQMteKhp+IGJ7gA7IABzmCAyQFOW1zqzHXJwSMOUOtIjACr4GSMRM5AcCIFRB3sIPey0zRyOAHEk5aUa8CJCQQtxoh+Skwa7NtEeTuhfEsywQEYmI1C12BGIkj3hALsiS3ASD1JIxiQxdIMZzdkdHOLS21Mp8lZnIy0lNFkJ4J1L2UwqDw0AMBQdoMzQKDsBIUAItbdWAcywygxVGBsEQgAjE3LC7yMgzk5+sdhG5/arszh9X/+zzDDDLuEEwjk7nCIcQ2q4cHJnMEgcBUcrkGgEFYOGBAsQ1G7ZOn3pTsobFowebcQiIru16uGv5YO/qLYYf0GACBi4qKIrnSpHNV9NPUbyDkTiEw6XlVIHnJZoItJ3QAQCEbOoIq5vIANDLjDGQTqq+q5ExmImTqCRu4AgQkEAgTMJRNjaU/HHqlTYEkAAsxd4H0vQn+HAAARyACD2Ans7DQAWlADFljdd5IggBQyQJ3wu21y3a7NkxaU/5cgoO6AlehaAnmZmg5wuYgwZJspQ0SQ7s5wGW9hdM4E5SugyUXKNgTlbOUOdjfLvbTIu154P0uvf/NzG9GIJ70q6Loz8fPtJ2c3RiCYd3eJC2EkECHA2behR0wgoJRRuRZD1LFGW2kLE9yIiAHv20jU/Qag7Eh4UAKuJy1OBCUU2tTP8HKnrEwAmny/n+nTIzDVYHI4lxFbudE2ddjKwK6AArg/rXdTnsGAwyCAsxNxeRDEqDw4K2M9Ge/pU/avj54j+2QqEsHZV+7XNBczQECBJp8Td82fvIoY8FJOHU4Qo27LV1o7efluOyVW4foy/2eYYYafG46VQpe0w/f55L1Z3Pz6t0Wf4ZmIVsjfdbWv/ZZj+5dgT/GmP+r/YGVAp453B7k7KSOgvOYJRupQgjGkWyAZChBUYB2bcwdpWdXhABQeSnXlblVxBinggHaLIlNhcmU5mHCgiX6Hid8m+kWDV/rnE5nEJ80mAKHTAtjhJN0fFRTggIPJFNkRyQmUjFrGgB3aLUJYWdCA3vA/GTfAuKgNXBaqCZsjdJzDHSAhFMLgDodv5w/WLevc35WOkZYLe5GsCl8pdLIIGzRp0rbc5no1f6fn5/ZpcSZbr+mcfys8YPpDgrIHBxmhzMzggAYQEUOpmw7sImQOBX52kZiVmDIj8BRZnNoOrmw1Jm+WyXcCiMkhVJ6MIkKHntVSJwcCMHBpj3V7BUxJWR3dmR4T856RdZ8bymPr6FNQEVnXh8KtCM6k4FKd3FkUZjCGMUwRnLrpp+WxKLOxY1tllHnqRvhkNvYwXmm8A+wrvLw0u799AHGnGMIc6g5y7qY2AMjkHdCNjyETgpeHyXfwTuv3Wt2Oa4YZZvgdQHnot/mEJu/6VZvfnuNMoj36RBzXbxvuz4VuO+/e/bvNH31iTe+MO3BoIS6FqTCMYAxzeCmbDICgjlIwl5wAygR3J3h0lyK/kfeUSp06taaoIDQRt7q/Y6pVZE62Im9s29Tt4RP+Z1PaEVBOQIZJbT6fHApzgpEbzKGkAKSLCZoSQct3GFMm/+4PXGrATJgK99MMxUbmsZdPinTpIAf55PJwcmcClZM73DpB2+EOI3SUBYC5O3X3wcgN7j0l2m50rmfoH8ju1+0OcCefjEv3CVAMjmVAARhMS8kTD3BxsCIrtNt1OBNsuxNPX8L76sblB4MDpFPaXt+8iUDF6DJFmcG843PgYhEGA8ERHezuHb8qs9vKXmByRdd+RkyGotj0t2leZ9vtmZ873LcjPWVr1AnPABRQwGAEOFQ7XqdwN1iGA2ADOxRgCE2e6unBn7i72CqaPlGsMaVBYjuS1gvT5RSTASUDJVDuH2YGT37sDNLTt2blqZ7co237fX1+AGaYYYbriB3K/Nde+w/96x74XQno8F4dKzty92Jr6WyNU5Y1ELFLJ0QAcCewdKQQgBXJjcHu7uROTkjFWFMWnk5562UNJEcGRYCKzT2Uvf6KkuEEnshpVu6kwhkyMXet9GJixetWCCMHmbtPEh13igAmxNURHWFyBhEIwUBZQYYYtrv7NJEc+tODgGI2c3culK4Y8Yre6aXXDhDzynI0JRg5qOPM1HmvdfTR1QllFWYCFRnV2SfqDlB2N5joPdq38fqf2LkDTYzpk0fSp2QuxuReOHUuCA4URZoc0k1H8m1ZAMFoxTS/q83ezt8avdI3GfNpwt01qdwRMiQCyCNQiH5FgLsRq0NBRh7JIxxOsi17MfedtXBKe9tRG6drVm7b6L65WbpJJCAwyrW9jJh0OxMXMvJA5N5fzolWxtO2baeXISe3iRm6sOEd9cADYCADMXUqaCnFacXE0KuN7iAykHpnAt7OjW9l31Sea/KJh+j1ev8zwwwzXCdcG2vtDg9x9xWz7w3M5rtL9OtWZ6zqltmOFPrEWNs5fAMCkm6hIOLe5Q6uIC7GdxBIALNOF+w8wn2y4/duRXSn1gGsMLkwRY/MoRNb77TpBwAZXLrraifAkU00PkYnV2TAigg3WbHcKDI53MSh5XbzpLcASAtVLWoceQKiF9uZOzm487svbo0mK9yOOmri3I0iWemiY2KT9c6GDSomddt2aTQvFq/C6zpbsXQSSTGSez88hev4ynd9ZbEvP/vkuOs7uoCHYvVGeXx5qrPKHSFgA9iluLKRI1IoelHJ2+Sg4s4p3o+0XMvxWWWJdvfOJgugo/39ods8QUAviE/0XiuCljplh4O4UENyODF1s6RchTB5F/HK49mLa07FbW66kVA4T7lO0qQtNJm0KnApCjEROaqySeEIVyleF11Hc4CSDxzmpAZi8JRzK7mzITERnCdvB4VV4AQ4vPMDKduSMtRORlAgwMlJCFk9E0Vy6h0HQQSYoDymcIb3oVYmEAhoavQBbKuITj65Acz8GWaY4VeB8m5cRfN2GvBxw8Mk4AMoZAfFQiNwZ7i6KzkXU9TELOrlld2723VegZNvG/XLHoGMBBC35OSwjiQ5YEj9ekUI7qTd7h9U1tQic5l1Z6RJkIcRGL2XW2/0dGDiiZ+L7W+lj1Dq1lx2uLt14dnO5MZknVxEUHMnD0agoKSOol1O27qsj7gsDLfYAL3IF8Uk2xGVwvz6TnpxoBRHER2LYQ/uVCi0g6BOWQEgMKiEAqMYgUEOBaw0RuEE4Y5i9Et778fK24QX3HBAfZ/6e1I2CETFtZR1JT7CCQoHmTAho9tDCCAu5A5kEBzRwLvWSKfeDmWuTXYKJbLE0XPu6deIE6wL+iUguk8mfxfaM2F3FAwARCZUhsis8P7Oz4+06xBABFNQ0dSBySy3yVahXHZib+WVZ7s03rtQFSfjsoFiAwl84m1bhElzLmYAdsComM0JBnPwCtOklZnePY2FHZe7ZEasAMFlooDCXYhAnc05lOuBNJMHV/JABidxKtzdiIydJq8AUKGeXmzbWImBce/eD79D2/UZZphhx+jW1qlXt/sOqrD1NqVp/K6Qv21N26vdJd1diAwd+aGe9UwZWeETBcutGIM6hggndhCxF+0LQCDiot54iQvu7HcCi0QkPjHRAl16DsCgZG1RFBQysTZZIUwTs6qXwN4J/+OSTwMuXmg9scO4MD8jd1ZJAYGMQS5lGSysTBQAeYBDiDJaEIMm0QCuAAhmPolTKf6R1vGzLlClE0nhhfwZMcEn0c80FQbaLWg+rdwU6+1kbDERd6j8yTAxC/rEYapz0WQCOZXEH5PYz4kh37BLy+ZvM1ai0XsxbYIVdkMGNydziLsoIAYnRYmoNSlm+QTnonQVCiRuhIl4vOrEPbpE8Ji6G5Ofvf8QgDsxrXhOTATeovCCPLpDPRsZgRlCRTafOAiW9CaxbBjczEEw6Sa3oIR4s6OjUAoEA3fp5lcGadW4OTH1HrzeSZUOILHXxmWWJnIQYmlvRO5SvRggJbkMWei2K3CFC3pVUkpXjViKfdmxUpmOzL0EdU3eEp3fcJH90Od7AkBgImckMMhjMdqDGRiDHVYVL0mCdt7b7iDyHYh9K7ewM/7OrL4zzPA7iRVH8NXu2dtgJUC4D/jorGbuDF55qd+wsGI1g6iWvGgdeTKDEHJuCaLqBIFlwFwzwEIw8wSYwMwYSlAm9/J6FsBVoAw3gwMimZCnGEgAonnvJtX5rGtqtISSqLVtdhAzMYwITEyCDFhJ5gViFNZW8p6QO7mL5kIEgykD0ExMlVuACYHJmRGE4xgNiYFSoa4EASOXVINGIORcJkzM2cHU5gyYu4FhZkLMxF4uTQ6deP51IS0GM7ArPJkyM4jcFXDzTGIgA1QtgZiILbfJQIS2bcuKZW5MxWBuIMruZmDAtMluKmCHFKnDAC8pYTpH/rbN6nAgZ3OHed6WzVxPsU0XJiFc5JMRKBza3dQ6xapE9YJkEhhTxCc3LXocLY/HVkJQtxsed1fVnHMf52Fm1sXLAoBbck2FSKlbNmfmts1UdgbUfYXBrlboJnPJWckMdldQYXIEE3PKBieM8xgAjIWjsBSZ2czcPZeWmKHzumUmNEk7vYtgBHOaGKadJjWHiJCt80cVKSUsYZ2fa1CjFupkyi0qa/LYyE0cUUqmIEM0rmBwV+q8NsjdYQnWmhapmx3UttnUzSznVlWJgqoSk8OZwVS5ESgLqZu5gUt2QgLAYhVB2jwGZ0PyXOJ1yJAcLdg8Fz9gIYIRpn0btt3clwdysu+/4WnfM8www7UDTaWB2kXAx/QLBNdfmeQXQZCQtSWisuwBZmZRgpqyiJoKi6uJxCa1njLIiJFhSqkz/aoZuQnUNASgaZGTCJygejV4nLRtDQ4yJTZyqxyklrPlkm+tihWDyzoXY1BTuBJ1+W6TQgnJzTy3zYiAyNzFegI5OZEzc8oOMBO1GUGQM4Qjs6S2ATkM1iJifowG0QD2XFk2IBMlISFIVgsVuZNm4VDDmzqEpm2ytnAj86xugMFVM8woCDOXKSSFtDFG4yVCIJKUFFqS6rqQQFvkZVBSMwePc+YqCmN5eVxVESCDhc7y5xBxZzNEhqWRiBDHZQMTXLMmEMEdanAgm6oZB2HitjWAmcHEfv0nf1qE/GK6X9mxwIr8lRqkETwLUxC0CcgjMzUKo5wRAQUDFQKgUQjuCKiGa5uJI6X1AbYAACISEREh8kL6ei7lhGQQ9iBknlvLxDGG6I6qCu4QIe/iYIlBkSNSCYZAQh5rzmYwQSr57UACJoC19VGoYjvKcFF42zQIBFdhYmZmIpBZmXeuptlQVVFVTVOR6piRUlJVuI9HI2JWVTWEANWyH8jo9D8u6V6AEFEltBzcdFzHIKDGdWuzZJ7NLCsyusySVozCEC6JqsnMnIDFpnVAYmAhMwtBgmgzbkIYptwQt+ZQA0vl1gBN27bCAzOECCKokxjcILHKyCzgADSduD3ynBGCgAwMT7Bm29fzJJD+OgT0zTDDDDPsEL9z5C/l1LajINLZqoRTSkyulphZzXM2NxPmtm3rqkaohCnppohRLQai1ChEyJoK44qz5oRq6C6pHbMloqWP/Nd7z3j9ay6/4so/e9Aj8xi5gTDMmTmEEJqmJQUB45RAsfizMQsTIzVoGxCxlKoCwsSDetA2rTmIKVtOLVicKBPnEDhnmIMI5ggBpm45x4q1XXJtOHQ+Tq0lCJlCmA2pScspWSBI4FEeu6MqFsEgWW1QxRgElohZhNRhLBKCp/S3Jz7u/PMvMELOJRWLgoyYM8AUQ4hgJiKFtc0YyPDxaa9+yf9+7rNjtRgGWTMBc3MD1+RuMBhMcwshTZohLOSWLY0f++i/uePd7joyEJJ7w2JM4IkwTSzEUZ2SIVSc1AxQS9ezXH/bYgcrugOAQUsRCXdwVUEY1qonA2IEglrOGcSxggDBRGBpNAAxFNy2rssAIVguLphdnqdppzECzIyZzaxpEjOSIWUXhtuYkB0WOKj5qFUQUutl10TkpimllEYtXMgjs7fWMsVKBgEk7AgMmBk1YzVzAQKFDKvm6iJVVnUNc2gC4KDlUZsdRGRt6+RJHYxG3QkcAgjZME4WQhVihPtgONCcATCjzUhmIhRC6EKPbFx8DL11JK3AucTIt6DMkeq6HjpyIK8EjQHWwtrWMlCpwzQjLcFTiJQVsRqMcmLinAEmhYJSXQ80uyMRZfWSOgZBPPnicFC3Y2WCWpPyCB5K4p0GbgiqY2QFA9ZmgGlNds4toApdbm2sRVidTI/tTb9T+bFnfHCGGWa4DvidI38xxBgjzGAqIgRm5psdfMiwHg6qam648OhHP5qZLbVViDljkdBaO08a8iJ5SiAdDrKRWOa8jLRk8JY5hVCxhHbE5k27xMGVXZ1iRAwgQJ3HSm3Suq4AWOY6DjOSqbZq6prSGFU47VUvD1TV1dyGvfa5atM1KacPve/9a+cWqjhcv3GPrYvLl1/x0/0PuBHHisNw7br50WjJecWNX4Qc6eRX/dPCwvo1C4O5EC66+DzC8MfXLO554/3mFuZ2W7/hmiu3fupjn9qwUIsEjvXcwvozz/rXZmypUUeohM3VtDVNEDKDOrQXiQ1zg6EqYiBoBru247oaApwMBFhKxdtvUA+gLahp2sU25yZ1XLszGodAzpGrK37y4wNusk8UmVu7rpLBCXe5u2kKg3jG6a/58Ec/Ng5wWwpiTJqSq0ICRm1KlltNIkENOaOuOWUXluu78WuSbnzFw84mWmbxDUPTQAxkF1xw/gl3udumRUCXHv+Ex5x2xmsXVZfdEAxIcyH6aARrEpKzKJCBMPHv9U72t04DNHN3ZlZVZm6aZu+9b3yPe9yzaGnM+p73/vtgMAxBTjn1tBgEgAhVMQDWtMtB5OwPf3jdmrVrZW7vdXtsXdrSKAzBXQMlpM3gxkNMRLGS0HnikYGzAYSUFAByu+Xqaw468MDA8kd/8ifLy8tEdP7554sMFtauOfGJTzEAzFdfc/Ve+xx093veS4QNntr2UY96VOQqxvrTn/50q2BGFVnVVVU1EVPlzWMe/vBBGFz23Z9WLhF89ofOXlOv2W2w8fWn/kvbFue9Bnm5HS8KA6wf+OD71wzXLswtzA3XnPHa0xBx6qtewiyDwYaFeuHzX/ySTaJwsmWwwyxn++AHPxAHC1WMrz3jzURINjrzdacxz/3vZz/nBiLEEJkBtOQwiwl41KMesX4Y9pqnYTW45NJLv3L+RXe+8x8DANJjH/fQN5511mJCMYVvO0u2ifb4nXuDzzDDDL8M/M69OhxuVpL5c7ENBZGLLrmoHS+Px+PTTjvt1FNP1ZwvvPBCFl6zZu2DH/N4B2/9yRWPe/BDXvJPL6jqONy4+9VLS2js2P0O2q3auHbd+nO/9Z0RoON8xyOPWTt32F89+HFbR1uo4no4eN5zX1BVdMc7/p45HHLzo29VSbUQ15528hsUUDQcRISFJAZG26wZDi644Gub2uWn/8M/vPu977n00ktf8bKXjZaW2tHoisuvWL9hw433vdH3f3jJi1/ylE99+l1bN18zNz9gQqDMnE0VruSZuf3of/3r4tJlX/3KF1/z6lctJ9z13g/68Kc+NU6b/vVf33TSc178hyfcc7zlyve8582veM1rLlscP/yRfz0c2qCmbGjTmAlmylV8yF/+ZaiGc8O1Z3/0Y+d+4+sL8+vOPPP1hx9++EJVnfi4J4LwNw960HB+DVfhsY9/MjG+//2f/M0jH33S855X18Pddtvw/e996/BD9nvW37/8nve49+673+jOf3if1pQcTTOCJnBIyW60514/+tF3fvTDb9//zx505Xj88U/+V4j82Ic8eM3cxhOf+MQWMFt8/Zknv+D5z9p99zVvf9vb6rk1n/rMf4P5UY95dBwO1qzbcPEl3+/IaFfB7AaILr+cAZGRWtf2W5dess+Nb3T5lVdcc8VPjjz8ZkIsLKec8VoKsebq7WeeESKdcdqpb3v3Owdz9W7zu338o5+DA6ZW3NCALhPyVHJpZr7sssse/vCHv//972/bloiY8Y1zv/ya15y8devVTU5vftvbzv/mt9oGzMgpuWldRc35fn/8R8tLzVU/vermhxy91LRbtzZ/9eBHuRraq0875aSPfezdn/vaOSe/9m2HHXH8IKx72hP+zhEUYmIIVsWgOYPlXe961wc+8IHlJu237/5f+cr/XXbZZX/xF3+xefOVS0tLV2265jP/8z8//smPH/vYx/7nBz6ojjYpE3/4wx++xS1ukdJINb3vP9+/vLxcKmg0ObGIxGCqT33S4x7/mL+5/S2P89YB5HHzkQ9+eNOVW753yY9OO/l1aWwCy2n85Ec/6u1vfUtSxdImJnv5q1919eLSpi1bH/e4E2GjnJtPfPKTm7Zes9Qu3u7Y41pVZrzi5Fed+PjHlfRE3/vet88444zFxSvHKZ31pjeed96Fp5566gEHHPDYR/9lM1oEwCRtat0BMWJEFkaYm5v72rlfuGzLVRd+80tPeMITvv/t7+215z4XX/L9n17x/ZsdcaiqRu7M9D3dnI5Am2GGGWb4ufE7R/6yaZAAMh2PQgiThM5MzF//+tdvcpP9h8N5AKefdtp4NF5c3HLU0Yd/7GOfIK0+/Ykv3O7YO1wzXn7u85/75S988fWnvuH1r33b1aP2c5/9/GMe+yhVPfGxTzr1lW/YsnnzW//1zOHCMKt/+EMfuctd75R88zG3Oeyiiy8gwXnf/HozHi0ubnn3v334mqtb7YI4MWpGIEJOBHNXA5Ro3wP237B+7RWX/fTbl35LBBLQuuaUiJyDtmk5aZokVbZsSUTcSGLF0LZdhODSiy+5zVFHXfqtn9z81sfve+hBidI9732vr51zfrs1oV2qQ0qOZUMDOJZNWzfUsUppHKL853vec/vb3z7n0ZblLXe/+x8cfuRRS6l9xCMe/pWvfKXR9pRTT7Z2fOZb39LmpdG4VQ8XXXxZXc2fffbZxx9/QjNO//Cs5/zge9+94MKvv+zlTzr7o2dv2nrlBz70QQk1Eeq6BgD1GGoWhmcKZhyaDCZ4Gp1x5hn/99XPGmMMSNDFrVdcftn33/yWN771bWe98Y2vu/TSi//jve/687/8i/Fo/J3vfO/5//TClGEGNb3hUD+fxDBPl3grRWHcSIgZJ9z5zp/73OfOOf9rxx53O8rNhRdc8I3zzx/l1PjiaSe/9McXfyNr89o3nnXZ4vLnvvLV9//Hu82AKFNsbyqsA3AzItprr73+/d//fTC/wMwSpGntM5/6+HOf/fd1Fd/1rnd94/++fsUVV0mEKkKMxJxzI4HhjuQR1UAGHuBSZRMbZwQV3xIGjsHgmc866T/e+6HR1s1f/cKXNl2zBaDWFaJqMDO4P+LExx5x1FES+NDDbtam9MUvfvGJT3r83NzcRZd86/3vfs/5F160z977vfOd75ybm8vZmFlNzWx+ft6Ay6746X/9139997vfNQcBVVWpJQIc+rJXvuLmt7hVs2XsSWAIg+qUV70szM+t2W1hwx57tk1OlkLAcloaty2TYCgld3o2xAqqGTYO0Zg5BCRHjFUUAUNLpJhX7u273vO2pz/z70KY/+AHP/zVr33xsst/8JQnPf0P7nbP0XjrYK7UKwlVHDBlMOWUghvGowCJgzWQwZbl5TReapeuvs+9/uCc//vqeRddfPSxtwVQMWg6yfQE2xaD2WFJkRlmmGGGXeF3jvxJMZGaS10DZgZmhrtnfcMb3nCXP7hLEHzta18788w3rlmzLobBC//uqVUYJll3mzvd+453+sMFkqef+Kh73vWub337+4641Z2h8ZY3P+oORx+xfNnlC/O73fK4E5ClqurReClUw7vc9V7H3/F4HW/ab9/1P778+0n91ae+tBqE+YV1F573PaHKMJc1G1DXQ6gClpvx0Ufferd6bs36dSeccMKee+75jW+c98f3+eO6XvPRj/23E4UYCZxSijESCRMsg8CBY2qdiAEys/vd73Hr5/d61MMf9dA//+vROCUJrcPAAP/+cXeoSVDFwJRgqEpVK2IpieRyjBWI73in3//Hf/zHRzziMd6FRjvMBlUdQjAgMDPLZz7w/ljNDxfWvOXNbxWu3Okef3CP29/u9wLJU57ytN+/0x0QECKYWR11hAGqyNpCBBSg8DaV4MaUjQVjBQUBsmVV4gTAFwdDus997w5Kz/qHZ8zNV0r6sU987D73uPsgxv1vesBPf3p5cQQUjnYD1UNKcp+2NZBDyHJrlg866KCrN286/1uX7rHHhk1XXv7xD3/k/z3wQa0Bpi960fN+8INLmrZ99nP/MbLsvcee4y1bx8nbKS+xEqXrUwCQUmLG8vJyjHE8buuKx6NFt/bgQw/6zGc+8853v/uCiy7OGcww1ZybEASuSBnMSMZKCOM2N/BYUYWUIymYlhV/+pCH7bvfggC3ueXRm664CgBRbF0BxKoCEXKG++WXX3n++ecfe+yxMcbl5eVHPOIRT37ykz/+mc987dxzM8yBrUujEGMpTX3f+973Va96VYzDP/t/f36b29xmYc0aAFlLamYCICJcDZB4UK2RemgCh4WBoF386Cc/eb8H3X+3PaqKQ4Ke+Za3/tUjHhkZsFY1PfXJT9lzzZ7r1+974YXfRBTzfMIJd1oY7L3bhgOu3rK1BFU/5SlPOf3U0+GRyOcWKKV0+OG3/OhHP/7u9/zbRRd/00BVmBchx9izuQJgQwMOoRLJo2FNzfLo4Jvdqp7b/W53v88H3//ve66PN9l73ZWbrz7nvIv2vsnB3//hjzivngk/I73fDXT+zzDDDL90/M6RP4K7Z/BEVilpLSyfccYZT3nKU3I2NaydX3j4w/96vLRsNh5v3XSH379jjmvGMqdUUbs8b5pH4zBc18QhAkhpzvLoqisvv+waiwCHtm3m16xpWiMfwCFRQJp1dNG3znv/B/4ttZcvbdp8+M1uqQkAwGyAIpU0LnVdn3fe//33uV8755xz1I1ZIHLBhRcuL29969v/7aMf+ygcaiYiqsoc3MEBau6gUMqFqBPR2WefuWnTjy+55FuPffTjx22Kg7oFFMHM/vd//jswME6aVCKPS+oZN3hJVMGlFOqGjRt/ctllf/vUp62b2+3kU18bOHhKKSXmYAZ3bLn6mmc+/Rk//OG3t27d+rBHPbppkpmraggVUaHVALJq2rq85NZFUIbinuhaXNmJu8pdVnLBlXJWau7F5QyALi9tnl+otW3MMhG1bcPM51184VJKW7de/aEPvbeuC31MTNf7+bwjy3W3pFcVA0DTsNAll1wyHo8PvOnBxjSYqweBIrMZhIOZtu0yPMdBVOMmQQxCTkSZYG5mpqq9MxlRibFlVa2qKiUdDoeqGmNUw9zc4I/+6K8+/vGPv+IVr5BYHXDAATGibUFEIUQzhRlihWyoYztOyZYoUF3NIzOSabK2SVwNGzUIwB45qeVGiw9oJQxop0Fe9pOfHH/88a94xasWFuZyzk9/+nMe+tCH/ucHPxAH9W1uc5tSq3AwGIQQl5ebEp5yzjnnpDT6xCc/ttdee1VVBYIIclfxxd29AeCsGW02C8hISEuf+PiH3/vB9/3NEx5SHr0q1GOkWM+3BpD90f3utzxqrth6+Ze+eM7jH//4tLzlSU97mrtvXv7J29/5b8961rMIKJ6KALnCvGnT8gMf+KD3ve+Dp7z6FAl+4IE3YYTU5BBEglIgImgGISdIM15GcLSLday+ft6l47T8k8uuXJiPF1/4Vfflm970ph6G9dy6NQvr4rbpDPtI7VmG5xlmmOEXBGdGXyiUsVJGQbBStcFoEnH2G2rlLxEhM2HY+rzywDxFWvR20wUXXpCl2me/A8UQgI0bN3zqs5+5erxpCSnRYL6Werx1nbZBFdW6LYgyHw49aP15Xzobqf36xRd98twLNh566HmXnPPTH313y+hHj3jMk/LShtis4ZY4AbkdDjXGzaldPPDA24P2+NrXfvqNi79YDZcFP1ZqI5qhO9pgvnG53ntR+Zib3WQ3H1/9ne9brkBzCEyUDz/ywHrN/DhtVo2U92bdGxpUVQCYmybiBrys8Oy7j9KeGtduocU2yO2POOCSj7w7f+s7Q+DDHz37sGOPaDYMloZrx2HdcNQeoFiTlWhOqSJGygFew8QU46SHHnHw/37pS9+56CIgpZj2v/nB3/n+d2pHNLQJR97mduv23Htx86YPvvNNC3VSQstrGh0AoKAaFpZ8n/1udqfLf/TjIdqQwRlkyyKSdeAsiO6BDXPZqyqNdrO8xpBTbOs9x1jYx3CLxpD3Htb7tmPhyI6WkQaxOuzAwz74vg/DLRKEciCQI1CEx591/3/bwWAnU87K2QkMrkCVt8EbUHKWNm5Ismes19/8kP0ecPdbPeXRjxtW6xYbusn++374PW+ufexUPe35r9x44M3MsGBYB5CNkl1VyaY53XLu175cV+F/vvDZMXGS2HJYdlESNWPK0HElOaJJzRLchHG74+/z4Ic+eP99D5oLg+f83VOPPuxQGEIFJzMHc50zzv7g2YmwNacf6xLi2gNqH5/70bB8xYWXbHry897pee85Gnv9/eVhysHCOKxXmhe00AYYAZCArVt+fMF5tzrq5p/90pcHu823jtsfc4tH/dm973TbWwbhl7/6tJsceEjQhOVN3CzbaMtcYGKnIDQctPCXv/qUzUuLe++zl2ZXs0AEmLsCFnC14koLW7IvJ2AZ+s9nnPofZ3/wjDNPYcHY4dDUbn7qox555imvFIfW+7RYR1nWEi698CsHHnYbzB01xp5jNLFqLvzGp445+uYOZBm/4rSXP+zRjwAz07p7/sGfPOTBDzz8kBuh1Rc+++QD9rm5ass1Wq2vuqbOoLECAYrAyetqAT6febckldHVFBoWV9udwz4HH3LIPe567NMfe2IYV6NNI2UEkDgYXZA2mJy6JNcrqc97LngDeEHPMMMMvxZc75WSa4/OUYYBgBlWCteKuPv973//Jz3xifPz8xs3brzzne88Pz//4he/ePeNG9csLKxfv+H88y9ebkYK5xjb1A4kAnjNGac/9Rl/N79meMIJd/rP971/MKjf+e5/P+Somx18yC3e9e/vTe2oHqAaqNSAV80oWKqOuvktP/s/nwrVujPecPLDH/FXOTthkFy7NsWKY1xcXI4xmtmJJ574iEc84ktf+tKgruaHg+Fw+IMf/OB2t7vd1qXFQw455OlPf9Zd7nK3DRs2jkYjAERS6so3TSoSzn3ve7+FhYVDDzns2c9+9vx8fNvb3nb4YYfGUJ1yyimvfvWrAQsh5JxjFFWNQbJmc7gjlIJcHD78oY/Mzc3N1WtOuOMdn/+CkwgUQ33CCSfc5773CqE68cQn7r7PPrGaG8bhAx/4wGc+4xlmBlO1XDLOMBjguXr+94877hnPeMZ8Vd/73vfOeZtKBWa5pKutqrrcIGK4+1E3v8Vxxx13+hmnz83Nffazn9u6NAYLc1UyU7r6k570t29+05vn47CuhyeeeGJZ+1hwgzD7MkEmN7SUxCuRGVzS11VxoOp1PWyaRlVBsW3zJZdccv/73//ggw6NMoxx4cw3vP7gQw7L2UajkTmIaFAPx+MWIocddtiRRx5+zjnnQK2L+yj1L4iIOaV05BFHHH30rb70pS/NDwaf+ORnjrnFbfbff/+qmh8MBi9/+cv33HN3YhThkInbtgnV4Mb77buwdmGvffY6+eRXbhxupLq+3wPvv/s+e/3tU5/yjGf9fQhhtLS8bm5BNalqNT9Mqim1A0gEA0gpYW7+BS966dVXL+6zx8bd67X3uMfdd7/xvn9493uvW7/XXBXv+Pu/d9c7/35Kervb3f52tznm85///IYNGz72sY9dfvnl++x1o+Fg7tJLLz311FPhEKHArKaTOGY74/Qz12+40XkXfvPoWx914qNPvHrTNaeccvrr3vAWrgbzcf2bz3qTwR0hZR8Oh3AkTWefffawjoPB3Cknv/pVr3qVw1/x8pcNB4O5OPjWJZc+8hGPSJ4ChEF1VQHIKd385kcffPDBIaxZu3btS17ykkNvdsjZZ/9XVe1+1lnv+LM/+7N7/uGftm3nk8rMIJSs2iEEEsEkKyEzj0ajuq6zZnf/0Y9+BLVp977tBb9VWVtnmGGGGa4l6IkfemoTGwDrltb+/f3+bp2uJeEMFRAZgwAyA8GJr+flszokR6BicY2UYCNXJa6VBwpmQAC3hkUSkBxCIZYynw73nCMIzFBuFcqIkhmJIRC0ufIARuLWhZOFmFCxgzdDXLHQuAQyUReNYCRBojaA3HJtbG3iGBFjY9k5AgigAKDNYEbgFpaBGglOTMHURSS1TuwhMGBqSSZW1LZJRBSrOikCh66EKhrmikApKUsW5nGjMQzcTYISoiqCmOZWCG3WUM8lo9Y9CgWoa4oSigkRBiJDarWuCo22BCIERlaECEciZABNbqswZ4ht61VFQMOI5hBis+xQYR43zaBeANC2rQiJUGrbGOcAgLaUCmWANG2K1TA71JCzDesagDsCQdWpVI29nmObNdwnldOIcs4snZdCV36NISRki+BBtmAc3b0iJyTXMQCS2jFIDiYwnKy1PDaEv3nMYx704L+6y13+sMnGzIFBjkiWUxOE4Z7UYjXXlcC1TYGjIxKqrBBBzggBcCUyAJpVuEYJtslYGi7PK5AYTOoq9UAdLdEmpCGq9Q5saVDHPOAWJiADDWG29RqeGwCxkUqBCgh5DHIwjz0mZgYqbSPlTHNdqRyCeUtE3hW6ZlMOgpTyIAZCBkplkSUfR/K1iNCAZV+qCawiNGgUiIhoBCO4jBsJgzlYIxzdmQiqIEG2NjC1liJXQFB3JmRkIAE21AVIdiwT3L0iDHOLUEFtiUQJVc4DJkBgbk7LwRaYAYdqm1IzGAzcjZjdzAlM0mYliUQE0Khp5qo42QZ0Nnr0vgHbEr5Z5ucZZvhdgHf/dXd/6dtf8Td/+bAFzNUYmDFxeTV0y4SB2fDD736fYB7JK4oWucdvshO/ERABUHUmOBwcKUSIMLFllKJVLF3GuEAhac5ZS9VSihzAaq2pIgZQxv9n770DZTmKq/FTVd0zu/e+qCwhsgRKJMFHMBgDQsIkY382NslkBEgEIbCN04f54YBJAiUkgrHJ2BgRJFACLCwDJguUs5AQyi/dsDPdVfX7o2f37r3vviAhEfT2cHnanZ3p6TTTp09VdYsTucAZkMiIZa+lwNCK1aCgDKlzEy3HiphhIi2CmsEyBBWDKo4K534PEkyVKTAc8JxTSgkxlHVeyRHADFHVYqV3IMayewHMoNnN3cEpW1X3JEZVF5GyCrS7C0tKDYAYRVjUtaoqEYTQrXojAtV5ZoJUVT1NIIL2hQKQkhNqgzAclEjM1RB7ObWhbArhCAI1BCnhx+oONa9Dz8wIXkeCgRAc3u0zzSXzUsUeADOLMYoIwCABIeUEE6BqGjWluprK2ciokjhV16ogwLMCAFnZcOJX06nuGhQ1F2B3CqGCc5Cq/LkTIQCiObhDmBgIRFnLLh2RUANV1iwEM+QEd77ggoump1ccfPDBhz7pEAdiYHdngAlmJiJgVtVY9cxMzXP2wLUaEdjMREquACCbppyzqoRQNqHTXLiUOAkCI4rUVTZl4pzb1ahqILUZ0zUiUdn3EKjKAtD1FKjO5uzGAOCQCAqeKTKzWwSCVJrK3tkwc8CY2MzgVramDIKUvYoBwGDQwh0ga5nqKUSYg4HKo6AWqcDlKwCoh6RU96bgYCLNWbPCwIyy5w6Dao5Zk5kyCO4VpEKsEHPxVzQ4SLPDESJMnSUSmEAhwB2ewTBBdFczU1MJodebKu1c/ubnBw4PIaTcEKjNba+ux5lf1yuWY34TTDDBBLcLYdun3M3AcKAOxaGR4A5wajNEYgwpey0EJ4c54NBKgghUlRmmxkIVh7KDGepgpiySVA0qHMucPggnqDhxiE7uSUM9BUebAM4QB7szQoADWRNLJaGCO5hcORBnt0hsZDEEABkuZoG51exCIVToQlWECCFAM4i5qnqAqWoMdQkHhnA2JQgIwgSgilVKKoGY4AYRBmBuIhFAzogBAJuxA8yITFq0kBCIQECb5qsomrOEPgx1x9sQK+TWy24K0CQSQLDUcCA4MSirMbF7WcdYQeTu3h1hswyAiAGen5/v9/tmRuTgCiAWsFQAu0FC0OQxUmSYIkZxOHPZ261ohL/ZWPDgIhDRcNNdZw6lWVNOMdQoDRenQepwd0uJ6krUWjYn6eVsxORIwpGZTMODH/bwpmkM7k5CZStqStkr8W4eqFliDaAEfCQACDLylDADMRHMLUgAAtxTyjEECpAAz9Ccq1AVPtOYVRzg3iMpM9VYB08ZxJZyFWPpCYO27dVTAEIMgLG3ZoBUbfKqigyLUOSEUHM1pQZmiFBOrQQSLvsxhja1AMcYAKScer2eW85NG+uV7jByJxJDQAVD6xmW61hpyg5InKJA7rDsIQ53OGfAYO5RQtY2SBDjEEvv4qxtEJpv5qfqenZ2fnq6BizEmJocq1CU2hhiyipsEspTBlWNXBGRmaWUYggAE6EZzNe93vTUdEpq0H6sk6cqSNn/upssTdjeBBNMcOdhx1P+ACI0TXJTAoEYTrGqgoSsqISIMGgapiAgIWGgTS0LqZtTUVNNYWoKorIXcBQpawcmT2AAJsaMKEzEgWN0S3BUAZVUjmCgokOQtxVFArU5OUkeio4BZCkFCdk0m0oMxOzwioVABEk5FY2MuewXBWa0bQuwGQCOsW7bjG7bLpjB3IqcGbsBDEGCw1WdiZm4bEvf2RkZTsgZBAuMtmlouCpcjBEwCWxuKsg5m5m7asohUvGyL/uYQhGrPnEQEXd3VxbAGSi2aSMiJjEnB7t72bDVHf1e3x1FmU7JAI6hb4aUtI5BCFUgTcULHu5FCylk/m4yQI4P9ERwJyJqmhRjbNs2hqimAJjYjc3doUQeYqGLQqEGkFoTJocNmoEZhMnNiVlYmDhlBeBAFYiJ3T21LTh4zs1gEGPM2QC4MyClLzGjTQ0ziKhkwN1jrNVUNbsbBe+H2kEDyxmFmbm7Rw7REME5Z8RAwjGKp9baBHiv13NCk1zVAdO2jcJqiFVoWiOgIsTAZsid7Ac3izEycUqtsBA8xljFQICrxxBR+GvdhwVHYCEWN/fu+ZFQxQBkCUwQgA2UDFUkzZmZhQUOUyt+BMLRDDFGAjQb3KMEd5+qp919enraHFnh8FiHQdM6WQyVmocQiUizwcHETGUP5eyuMUbzbj/lujcFcEoaQqhjBSAQE8iQx7rBwnLcS+y74z9NMMEEE2wPdkTyB6CuR2GhAg5tSgCqoWbU6/XcnYnV2pxTFSsAwkIkDi8OVMKhaVtHt6uYmjI4krSWCQYDOVmGKQzuZK4tHDlpTuQQZ2TNQsoUCBxDnd28vMHNYR5DhLuwePFqcmPQaB2QGGIhQ+5g7nz2JVQGDzGqG4Cqqty9CtIMBkFADgJMlYAiz7Vtw6AgZKo5JQYJAyBzTwp3hACoWdPWdRSBGYxAoNw0AIg5K0IIZhARiZzzPAdH4WVdttiyu4KIREQ1EZVRkAGn4Vb1RGARB0i4bN5awsuJXWJVDNw0dFEoC8101jSzsq1HMaX9cjrPXY3NF+0lghnqOqakVVW5Fw6NnI0IORlBBG65Lafn1mHo94PDBTRVV8xQBVGlObuTmtZB3Lv+5HAzi1UFd2Kue72y1W9kEIk7VVVVWH6MUgJphSPAYMmmpfXBDlYACoJEgFw1sDCz5oxsUAshtJoNCnMKgauo2gJIColETIBXVTBVZjQJVcVmBjNXLQeZQYSiUzZtU8WqW6LA3RxZTYQI0GQh1pYSAGY0OTlchFThWsRhNc2ACbMXkV/VAQkBQMkVM0BkqmU1HFe42nB1BJAzQCWyhCkyRTdSTb1exQyACYEgRB4CE5nmHDiWnlyWagKYOIAERgCHUBFRSsUh2eCZ3bAYVNaqGrcCT2jfBBNMcPux45E/BgACAhNQDK9axQpelIxiTuWibVQcQohwcwMBDAJY4USkOddVTSjMDIED3AgQ4axJOMLAAhIkcyYmZhhCqGOM5hBBFIaVFz0U7gQiTqYYEh1NGQCIFObuo1hWtQTAoUXDKwNBzsYMKjSRWN0ccIKZ9Xq9tm2ZodlFxF3d3Qx11TfLqioiMdbDCiKUyNlORxOOPWu1VF0JEA11Pyc1AIKcLQRWTeY5xKA5IZR6IlN3A4s4oQh7IjIatkb78I6OJG2FpdyCBIYyKHsuvlRAjKLmZfh3AxwhcIk8FRZhuVtE+wKb8T8ilFYbqbYipOohsBqqqkdA0raKbJoIMcRYoqpdjUDmGe4icIeEiogCS9YsxUZugLmIuJUokqDFAZRRxD+A3CmEQOxMUOvWUzQ3AglLLiog1GHQzlIp4MiV5SGjEkEXlE1dkYqRXip3KgdyVlMrlMgMZQtuLyKwBBHxDFUj6sKN66rW4tVgTkSBug1z3CEhuBlLBEMNMcSyIAqxSYBpIgcTAciqRYuuK8nd5S4hmGcSzppZoqoXtl1WRHSz8tUNzCVWt6TBzFxaqqyIOWRyGUAYbq5cclIcLYhIVcseHkUFjDGapcIveTGx23wnjwnzm2CCCe4YdjyfvzG4E0As7F6cq5wJTmRwgBjkVogbsQMGAikZIASwMBQdJSQ2eIDA4IwgAWYggUMB5mAAk5TNVV2srOcMGDhC4QwQOUgBYeZuJ1cPIeRu4UVipjJIQ8omJcYMh4JKrAUkUFkFtwzM5V8CgcRdqypgbPgBhuUtoRqL3MmlRGNw8XwCw8AsZRcNYncnAoUQi84WAgMQEcAAlxA6VudelrFwYHgXcyhR5XBCcbhHUS4BOLyYoQvvcccwbMkgKOIhSn7dO+dAAF5uXW5pv9GLPA/DORfaopCl8pmEfciYC28SBtw5FKdADkyOhjh2C3R29k0CnAlAco8+RhZEpNAQYicnwEfaqoQAsLuLsBu6rgQnkI/2yBn2MQDFuAyCw4grABFMDqhz9zSBzIuXZ+mUAEBIQGFAUYqaK3B3cjh4aMkHB0eGExGEu03upLjDuQuF0o2txH0HRiGWDoKArJPpHESsUGY4knQrmjJAIQhK6BHgVN4JGD4aFkpMDHPJk8NL7JfDicrTZGXiNAyes7IkQjkYQuVuIAeUIHAG2Ui/Zx49O90dy8LzpZcToTwpndA4bLgJ4Ztgggl+cexw5G+BVJSvBICdQPASgQDwyMm64xlll1UvAzEvcbmh4fcy5ABl5CoxDQJ4V8kLC9w5lQ3VwGVRYvKFjR26kXHLClZnpxtZ7Ma2fsUCOaCxn7rBbBg6akReYiyG9TFKuCwsIgRh2FB3IEDAXkzO1KUpIMHi60d5o87zboGH+UJVU+GrRGUUXZAyhguNl9KNrvMxN75RBfJCMy7K/W8w89syuvZd6D2br+RLgDOXlY1pQUk1pLJWE0EdcDLyYat5pww6jSqYl/Sl4kfmjiH/G95qmUyOXzv2xQEiQzH6dyvHjMriXeAPC7pcFgOqg0BMPuwbRI7o5MVvYfO7EwAwFda4tHLYyvNc6B/IkBlG5SkmdjAVUj0stXe8lHy4rJUTaOzhHS6+42NP1jI1sjSTm2dtyQkLqRAggJW3ELZx3QQTTDDBHcEOR/7GYETsIANx9/a3bm/coYWXaORwXcbKsat9/IdOXcDCOLr4JB/nOGMcxYe6zu03wNPYcAvn8cWTfThEAUaIQHHkC+gUMxvGDo4IH40FycaheoGuGroMGnfDXlhS9rH70pCWlfz4kPEtyndJmUZrRjpAI5WrqF/lTCq2x2G2ATI4OxlhoepG/PHuMUaOq7DjbUoLLeHjHdFADB5Xg4hK2HPZk5mG0xUlkBEEvEjoHfVQH6cnpRUWOu0QhdexL8ra6CdHFyhLXeCQdzn3sXRGXWrYydjhI3Zlm02wvFtclIiGGwEuxdbju43A6KikYeHRiHAZZm3Y2xfKaMPjjEIqhy+AzWOKhjOr8arYIra7l3Lhf1v6eXzZv/HPE0wwwQTbg7ulWLI1jLas6yyFoM6iu+T3gnGZhQCCYPGRRf8dcUAADMiCJkAKKiJWWdlEOrYz3EGPvFzo1JniukQFo4iIsq0Tht5Fi0BlrVvHMoNyKUdxEvdxbrHMmUQ+HKHB0O7kYWYIiwQQALKoukrGSkZG9NAXj5Y8ZtYcU5NQik4AgzrLb7FbEpjAI3kVXcA1nKxcsYNsderdNl7u2EJhl4pEQ0LjGIpfJXr3dtZVpxB2urcXy+iwh9KiW/Lo7O5vfEIyJPTjfZeXKMe08PwsgXVq96K+BOeFOcAYPx4lh7Jmu7sD5mVS5EBZekhAI8JUjpdJBdGW2SQVKZqKN+pCVhdRdncb/tKl7zxSysdP21ZbLPOkb57I1k+YYIIJJlgWO6ryN5ToFg0XbgCVeb4B0olRIwLUiViL7L5DqgSUi3x4gIaWSDIqq5/Y8G0uJXgVbkMTXWeFtYV0RmLYlvasKLLOEm2g2Olo0RhZbMrdcnHYLO8AnIjdxsRN91IN3hnuxk7tyAcV2zaBDaMY21INMkx84UZD61X5SYkWKLS7AqBuaOws0j4MqATAYyOxD5e8GyvbgvixoyofDADmpeZpoReOC8wECsNYpzHD8Jidd8msgYdkEZ11vvzMxTi7JAddnx8SxPGj6GYzw9DuMdG4myss3jRIQFqcIrqJRycgjyVa5km8pLGJiqF2LPul75p1fpQ04omsIKFu2gdikI0mM04j/U+3T6cbufrRwq3hXqjkQt9GeQn4QkUXLr60FDvghHyCCSb45WNHJX9jsI6wbG5OAhb8AYHRcOYAwQggL/F3hS66L7zYF4jWcMjxsifa0BbX0TNapH0wQG4+Nt76+NBIY+vZYcQORz+OuFu5GQ+dk7pjNDJuj7K4VCihItp0ufZO69MFvbMjZ2VYCxhXRnlY4C71oZWtfPOFyMUy5DovnE7mDqISbUrkDspW+LCzjLmbdcyDF/gHLSkRlhbqNxC3b+wv+/YR2VAGY/CIN8ko/qCkPK5HFdo9/EbjgiKNuagNldpxs/JoweFFPoLjrd99ozK9WohaGAeVaI+ido+6KUzgDnPiMg9zOA9VTF9CqTKECAABAABJREFUFbdWK8OzjImR2QkQgFyMoGAMOzAAp6AwgaFEOG0mIJZg/9GEZeEWo+lRZ5MeeXHQkP8tETqXf8mM5XupdL/17ryjTngmmGCCXxQ7JvmzEWtYNPHufHvIhvRr5KJeVjqREdvw0ZA1NH06QG6AlCrtlJORCRhdhAONdDRC8b4f0krqMrb0bT4+ejhGwzLBxz29hs5zwx9LeMYwqEJGEsPwis0Nx6OqsS5bZS+H7iAExXpVmIHzUCck9kVi6Ch7o/SAxUPYIlWSYA7vpBkCCGUvO6ahJ9iIhowkTPgid7ShYxnuFtie4XzpKoCFF2M4r+jI+eKTuhYbIyibLSOC5VoLS+jWsBWWydaQJRKRFQF62Bm9k+uwkNRCX+2WWBoKhcVfkYjIuxijzr5qtORxHTqOLuRzPI+jL1SSoOJC50yEsiDhiPwN405sial6CyboxeiqYnlWt9kMywhheGixBFh2+NnubrzYy/Nu0vknmGCCXxp2OBPD7fZ4Gg4P1i1yN1QLAB2lNuSI4yOAAwSlYu+CeGfmWupTOIZtqAJ3AOPCQydPbNdwNmQSY+7xY11laGte5PQ09nUo4YxHqtLohGUMXWNDl3dBpgSikX/Y5kbs8b8de3uDBdK+0FSLIoE67cw3+2kRtt73hk25qH23nity0KgHyJY4jS/8dzwHIyeFsd8XOOfte066bmwY6e5gW/TkjnXkZQu4zfJ2nrvLnjest80l6vETgKGwP8EEE0zwy8AOp/x1utyQyoRFvwQANDpIQLeUF6rRWdS968N4Uoxi31o4bfxuHTbj2bQwdI9EkZHMsmAjxeLTZLnrsei0RXeksZyMfR4SK158Whwr+9ICjBZ8WzhHlqS85O5jIR0LJ4RFx4cBpIuPjCczHom55eFxpFuNGZTHPcU2/36XWIk3JwDbfYNFhvuhdrcsoRjXk8LovwstOb6cI4A4Si1suUOWBBdHJZTFg3ihECMJ1ocn0JLTF1LbxhbLNPo3YpHvbRj/fZjuQh6WJrtw03EZcKxLVwBQl0So46FTo3vE7pYBcARfYKmLei/ROOEc9+EbnTked7JMCgulW/jMY/9usa0nmGCCCe4K7HDK350B3uzDL4rF5tu7N4YD89JRcMmRHaAm7igmAtFdgc3mUuOY9MYJJpjgboUdTvn7DcPdf5xfsCYv/grgFy0+LRbJlv31TsadnehEEFoOvxIqdpffdNRRJy0+wQQT3NWYzGh/1Ri+6WnMFHZ3pnwLI9uyvlvLHtzOXrq5griNmvz1reex8X9JJn/5eV56R1r+h19WxrbSGZZaYH9DQWN/E0wwwQR3BSbK368at2cEvTsMBptbe7eB2zWWL12nY3ncpYvCjBzj7uwkfyVY/tZbyNDdoX9OMMEEE+wAmJC/O4a7QF1YtGrfnZ/8rw2WrNS2ZK24ZY/cSVhCy37NKeBWLNa/VNxlzfHrhrvJOpETTDDBBNvG3f2F/kuBj/3d7itv1/G7A5YsfmGALlpJpDu45Mj2wpd82bxVfpmj+4RJ3Dmwsb+7BnfnJ26CCSaYYCkm5O9XhCEp2fqgcwc55W88fqESL3Pxr5D//SL49Wr47SJe299d74yOvXVGeFeSxQkmmGCC32TsiORvfHPSnPPos+pom1qYLR023H10cPNfl73Lkl1QFxaudXiXgpa9clV9YTAcu8rczG2U4DZHSx/D9mRp2XO28+CSn8brZ8kmvIu2vR/u7TA8VHYHYXcHdetol1UPzewXYmmbZXnRQtRjLThq9/Jhm1X0y8NY8c1svNeVz+MHR9nens65LNq2xXLF32xL5YXj449MuTlK716iwG5+7WY/banaN7sF0JXRluRNdSGN0XNdaqMkUj47oG7qi2vJyxbEZdc7K5eb2Xiuxuu1HF/SKJsXIaW0bKHGs72lGrjD7TjBBBNMsE3scOTP3YloNDaEEDB87YpIeeHmnJl5+PI1s6yqRMTM5Xv5MMIwNM/Gd5tabueJIXsjIwHIQOSEZC4y3LfXSnpo29YBJubhcsxEtHR7jM1AY7hD1bP8VlFbSa3s9JpzLvUzzo9HV5UP3WmIOWfAiMrAyWbdss/uygyA3QRg5m3vhbo5lr+g7AzhZoC5qRtJV6s5ZxEp2SsfiGjJqP9LxRZCPZm5VG/puqUHjg6mlEolb945txNmVlVV6eebT3JKay7hmkRUagwdcex+pc02q9hK/3H3QjqX3BFA0zTDkjLA7gSwZoyKn3Mm8pITACJEQwrYPddQBsEhIuU0M8uay2Ol3mW425WbCMP+HAKXqhjWKtwxXq+le5T6LzkZdfhR51HVGGPOecQUxytkNBMjosJNR7VU6vmOteMEE0wwwfZgh3u/lFdtGRvG5+VmpqrlhVt+ZWZVdYCYWSibjmlzmzODbdMUywoAZG6WU6O5dcsOCJMastrCHrnuVVWhE1E6uC6z8+8I26PY3RU7oZUxLIRQuN1oNC21V85R1TI0hhDcSvV2PFczmAAHkRO5uwIw7cZ487zFG9/efAIgLvyv8OlmMABQcj4amFV11A22mM6vAqWvljo0s5GKWVhCjHG8A98u0ai04JA/yajtSmpqaUQHC9cZMRUdk9qqKizhK1upqPGfmFFVATAiz7kdJaCqdV1jjBIVFiUCd7Rta2YhsJqWbtO2uTwqwmWW5Kra7XrsrikXvsXc7YidNRMRMS8Un2Cq5pnIzUyEyiUdoyWo+qgtukSGAmEIgZlL/y+3GM0lQgjl5ELTNWU4RpPJUociMpqOOuAEYm5S+2sjQU8wwQR3N+xw5K/QDndVTTGKu6bUEDkzRGj0a7H+lKGoGF6FqXwm5s1I2HaMtQ4JAVBTBSzEKEGIqcQ7gBECu8NSIYhUBnsHOTpzL21VCbi9it2dhZHgV3hJoSblSBn8ygdmXmwC64QrEagWQZPNOvNcCJBt7A62FFsxdo+QLBMxESdTB+p+b7wINBR+RGQ0ui9/r18FBYwxllwZnJjNLeUEgJmLcjZSocY11+3BSCou/GNUD4WaCAtgZTo0pF9iZu4QkXLyEuFqGWylytx1TIZXVbMM2EiGB2DwQduEGEFkBiJUVcXMDh+JbVUVyv21e4BoxETdXUIo20aXEplbkNDJk0TMXKYuHISJ1ZS5FMqGvA3u5f3QtUU5HgKXt0TObc5tCMzcGY6HMxnLuR1/n0hkkEnXUHmUpojY0FzOxFlzFSvzX50CPcEEE9ytscORP1Utg9ZopIwxYrGTUJm4o8gbcBCrKYCU08gIe3vhZsXOy0LEZJrN0siPqLMGMzhK+VJyZW4jI5r/UnyA/Hb+leGNu32JTTUxo/w7otFl5ItRzDKxwZFbdw2uACACIsDAFAJXJVHNGQ7efLfkDkt9+UcMxqFWfqVhNAAZYAYLzI01CmUmg7lr2aa5CDaFwRTGUyp/eyrqTseWQnzcvch7BDI3IoohZjcHOIgPFSN1KxbMLbfX8ijyVTE4jhSyjr57p+aG0FFkEINgZm3blgeqo8vuy/fRLTAYA0AugUcud2WeMDKqFo2TQHVVAzADM3LqMuzuTOTw4TQDAEbOEURubnCnwt3GGCEROdzc1LTcuExdAKjlco4ILcifqiPlb+RtOTJzAyjTnvJ5ZNItimlR/sZZcts0IxNzl08zEBE6T4jsIAkGgHhrlHqCCSaY4I5ihyN/Q91iwc6VUkopjbSN0fAAIKVURj5iaS3HEAFkzYULFvhw3NoS3AHzotuZJu+8zpVZVFsDCutUg6kDSE1bclLsWKMoj5Hn3HK3uB08ZBtBIcsHy24t/c4Q6V54AAARKQPnuFsYuuF8DkAQIQcRzBrzOfcMLxIo3LP5jETVbL6Mrz9Gnv7uuu2CD1tn0A4MCBwztCPc1A3kxWY3yrNsQXVcUmMjRfYuwnhIxEJMQHFeNHNQMh2pdKVDljOZ2Lti346uUqyWhXgV+lKUWs3Z8oIGpqpJMxHMQMxVVYmIu8YYTdXMxh0Vto6uFTrK1ln889C63dFxLjd1ADkbM8xQWBZz5w5b+t7oKSy6fOcZSeSpOBBYals43F1Ny4TKzISFQGo6iv8QFgLa1BZOWdTDoTPoQtWV4zy0GpfcjtvBMRY/ZEOICFyrOgKmOY9M58Td9JJYunkgoECT7zS3hwkmmGCCcexY5G+kKGAsADCEICLFdhZCKLatcbf6pMnhzJzd2tQys7As5U/daLsAM5S/Mo7rMMGcE2AiPBjMnnbaae//4AcNKO58RATH17/+9brqXf3Ta1JKTOzubWoBgMhzxmL2NsrDcAhciBwso87mJ2/zuLmNeEMRSIZj6zJ/4+HShVj/4Ac/CCFMTU194AMfGDlFjSIVTj/jC8y02y77rrsNmgFKp59xSghx7Zq9b7mpVJUx56xzEth183rdCuAOGyc9Y7VRV/WPL/jx4Ucc7u6ttg6o6k9+8pMQwhlnnKGqhfqUTBaXspEMtqhi4Qt14q6+9IRftItinF8uDgsFmLjIfgsZMC129ja1TCwsg2awuEoW/S3bfwoKiR+R4JH8GWIsPbDIYEFCzosiQkZEn0VG8yWHL8TNFC+85XJFxNp0UcY5NSFGVW2aptDxlJKaunvOxoG1i8pAOUctl89ElFIWQdNYueEw4MNJRAcNgFhVplrcD4rmRyKlKQuPLA6Uapo1VzGqatu27p5SMrPBYIChM2vnkjFs8c6aLFLk0vImGffqw9AoP7okp8SMkj4RpdwIS6s5a3YHCIOUyqsJmz3Loy59p/S3CSaYYMfEDkT+RuOoDw1Mo7fqi1/84n6/X1XVypUr169fT0RnnHEGkfR6vaOOOsrd3/Xud/V6vSrGXq83NTV16mmnjpIlX3qXZSEh5JTMLFYVADOt65oZg8HAzLK7mRPDsj7pSU+an5+/973vHULIrgCqWLk7zEi2aANawlR8qDdsKT/LAmMkcpx0bSWAoPhpjUIEVPUDH/jAJZdcsnHjxpe//OVlwCsjX+EWhx72hLYd7LvvfoM5lwBmHPLkxzfthgc+cH8m5BZEyDYXxJtBZt4i+Ruv8BFPM9tsRBye3KS25KRpmiBBXZn5oIMOaprm0EMPLZ4AJcgg51xV1ZZut2wTj3ewXxA25Jcdy8TCLdS0Y37AhRde+KQnPalQ1Ze+9KXHH388Mzdto6a9ujdqxC1R2GXLAiDnfOONN+69996HHXbY3Nxc4TRf+uIXp6amQwjHH3+8dosSLXi9mtmpp55aHp/Vq1blnMs5PtYDl6207qaqUlXIetNNNz3gAQ9gksMOPbQ4OP7wvB9NT09HqY466iiFN226+eZbdt11zyc+8dCUUl3X7v6iF7+o358WkXPPPTclryomQtMUf1k3s8Hc3MEHH1zX9c5r1mzcuDGldNZZZ8UY67o+6aSTkioT55zNLWsGEzN/6UtfIq6mpqbqXv9DH/pQjFFVzzjjjGLb/epXvxqj+FAZdfcSMH7KKacwh7quTz755FLkY489lkjOOeec4k/ZTZOI3KxMMl/7uiN7vR6RrF279uJLLr7wwgsPPfQpTWrV7Mgjjzz55JNTq8vW3p3Y3yaYYIIdEzsQ+Rs5hZEzkTRIiQbCG2Ww/v79FZefd9ENg/Y9p/z7iZ//zPd+8oP3vevtSTduSpuuy/n0b33v6Df+hc6vO+Yf3/BfZ3y8mb/1KU//3Xm4UjEENfBNF57/reNPOCGZNOCc+QMnvO/Gyy48+z8/Px1rqeW5r/uTdbTh2tl1z37+S9/2lretjL3d16yc3XizJVB/d3P+4pf+q95z12s2XnfW6V+4x9TO91950Pr1YYZx0y2XvP1vjjj8hc8JYcVjnvD0lITothOOeWtPmHmaq3u84/2fnjUCaQhgCBO73UJ07StefmjVD7G35vNf+9oc86vf8MbLLvou883nXnTu773utesoyLw8bp+H9WXV9G573zB7G9NgcONt9129b7Vi76ccepikm3j+2le+4DlB1sZV+1x0yfXczvHczx+9770Cr5ZVD7hhA1HSq7/7tcAx9HZ77KF/OB+y8q2xHVz97Zt2xb7R+hTn3nvin3/9a/9GdNtN11/x7Oe8bGMOSXrS+G4D2jMTMgbIGteEZtXOgzVr00yQm774lc8dfsSHmnYnonDm1z747hNPbgxG7MwKRtvyYB3P3PiYBz6wll36q/a5+PyfShr89dEv+9AnTw57rK133+fbl12fnaEME89O7K3e9vojn/dbjzj4Y//28V122ae/6r4/vvTnF110wYpYhf49f3zZxY7bNt588T8d/frfvv+Dj3rha1763Ncd9oQXYFYu+8FP+yKhlhcf8dJEZCCevfi97/2bl7zpqJ+zbGAxMFMizBP5mF0wO5Ij34HBOWSwm8ISyEHizKQiKZdYFGfON1V+yXVXnLXrPXa54NrB4NYrHv7wh8wJzcrgne9/awxhSlZ++P3vF//5R05+yxc+9x8x7BpX7PrZ/zlnI3FypqalpATKOTuZsxI3zA2TImN2XTr69X/3n6ecnXiq7fXmxC8977vHv/f/rZ+5dC6vP+4DH734ik1qJT5m4N4ATM6//3v/t715Nv1Mn3TfJyP9/PqbN/zhC95gg0FIl37kva846+ufPudHP37HcR9/6AFPrmSvl7/iLxOxU0OeonMOmnSAwF/47Oe//KUvp5z3vvd9vv5f565fv/GP/+hPrv3Zz+ddb2vmzzznG7esm3n96950ytfPbnvTWXrzKZ926uce9YgDtZ2b29B8+Utnz84O1OGEuo7azBHmxW955VF/9v63v7O56daPvv/kV/1/b7s4xo+f8z/t+txcdOsn//lfZ2+chc9WfsPLXvDU4z948k0g8huYB+/84Ik/bWyj+eEveAFm269/8axPnf71m8zmsz7pUY8F0JC//eR3vuyI5zE3wNyFF3333e99y9zg5pmZwUc+/NkrLrv6hOP+cb/9dnrRn/5egEAlhEokggQO4koh0dNKa6/+yQ99sPF7557xpsP/5KbLL9tl9b0uvvyG62+99oEP3XO9zm+Iktwy3JhYBExgB3kJKCFywLbXqXOCCSaYYAw7EPnrQAKYWkMgIAARZrNz60FWMV94wWUPOughZ5/15b/+mz8XlmR4zWte87GPfay4Vk1NTZkh5+RmXKIwigDivsvOu918881Ng9cdebShueqaK9fPzf/H57+0fsPM7NxML8Rz/vtr7SB953vnHfyox62bvfWv//bPf/C9/xU01uInP7r+uGNPvPmmW3ZavdNTnvHUG29av88DHzBIxhDh+sP/8m8vfOELU5598IP3veqay88/77xLL7240cFPf3rtc//0+S9+0XNLFkw7jzmW+pTP/edv//bj5+c3NXnmKYc8uW3cUw5maOZXSlzdn06KFx7xqn8+8X2DNHPbTdfvPL0Cmh73lENO+/a5m+ZvOOusM5DtG2ec+eIXv3A+b7jsisv++Z/+yQfz//7hj3zmM5/JeeP/nPvfb37zXwN41atffcutN8zOrjvzzFPI6cQT37969drvn3fePvsctMce9964af3c3EyM0ZtBXfdFZDBABXHoXJrHVOf2VYHcoVCEHrj/xCc+8Uc/+ubMJpjh1FO/9qIXvSznbO5ZjRlcCVL+yLEnnnD8SRs2rj/33G+87vWvQZpbv379N7/57WtuXHfyJz75ta99zQBLGQQwZc116J944ok//P65L3z+C2669aYNG6898IH32u+BD5hvb3zt4a/qU+WABfnkFz//b5/99He+993n/uEf8nxad6N++MMfbpo0P7/xYQ9+yFe//o0SXutlaTpHAJiL+9ud7JVPS1L0sg4i3AERJGMOhx122He/853//p/vPeIRB/Vje+GFF1115W3ZfMPMzz72kROuuvSajZv0uPcfvzHf9u0f/fiUT54mDmIgMkK3nhFBBm1jAMDuBsaanac/8cn3T031zYwBgnz5y6e+5S1vqeLUl0479YrLr/zpT6+Cg9gBwIdCtCbUwTXPNW2r2gvRBgMAqKvkGkLo9aff/Fd//dH//ExqbrjwJ99bf9tthuhOMDhCDBGmrzz8xfvttx+zHPTgg2dm5r75zXNf99pX77HrLj/40Xmf/tgnr7zy6l13W/uZT/0rALOcs8cYq16fSEC0YcOGz37uP352/fXMUEXOJlUFt5tuvHE+tb/1tENR+f9769/9/McX7TGPf3n720NFtOsq3nkFreg1ZA1TNdWf5rhyHiASh843Bp31Bv0eVL9x1lnvffs/NuqZQFM9MzgMaiTBVEIIXzn9C2972z/069WfP+WLPzrvO1dffeXrX3/0oU9+Wl3XbZolxmDeicjQWNu2bcsEMDvIPILqILULNm665fee9dRLL734vPN+/MhHPnrVqjWjyQSP+QOMbPfDvjGmFE8wwQQTbB92PPLnsJyFwSCDAD1r5kPt+x904MremrNPP/eRD3+UBDPMmlvFU/e5570euO8DHNCUUqsiEkIIHAK4aRtTBYlni3UF4OKLL9XBzetuvW7dxg0XX3nNQ/7PY2Ov6sf+6w4/8uqLL6+ofujDHvnkpx4m1arXHf2Gxz/x0RXP/u3r3/xXf/HXX/z8fwQAyGAHcs7tVJ8BaAq/9ZjHP/axj1Gf3+cBu1951ffVcojsuZHgg/m5ugYxiksiMVQd5k94wiFvPPrvjj76TTnDFNM1RcK0CJRkkAeb5mcSZkwf+YTfbrP1CVXOF/34/Ec87rd2eeCe5iAiCH/q058+9CnP6Ner973XPX92/bVtzu885j0Pevhje71Vj33EQ4VsMJh77vOft8eeu133s5+ZQah+zZFHb9g4+6CDHnTpFeffcOM1a1euXr169ezsLEmVkzGFyGg1caDEbVnUOiKqzVCVTNo2M3JvZX/Fy17yf2+84WfrNmxYs9N9Vq4M/V6I7EHMkYAMkn//7Bce9JCH93o48MC9H/Sg/Tdu3NDv9//6L/4mMt3nPve+4IKfEIGr4DlRCA5qc8vOlowcBKjDDIEFEmxmjpOmrA3JgY//rdX33vu3nvD4Qx/3O3Wbr7zoohNOPiH06unpVW94zRtSSkZArI4++uiTjj+pR8hlCxJmjMUcuG8jPmb7ML6bBFBmGVSiiwjERHKf+9zn5ptvvOZn1++9x27rrr/+nDO/8X//74tmUlv1+W/ffNQNP72uV69841/9uVLeZeXq9tb5PDDFPGCwlFNyp2Teq6ZU3eHErGlQhCS11C2eDAo1zbdp//0OOvMrX//0Zz5zyUUXgEBwM2IOqgA70CIa2EOMJj1tBnusWuVqmlqLcX52Lqn/wctesdcDdlXHQ/e/7/ymjZuaxFIByIgOgjeoCELXX3/rt771w2f83tMImdG86EXP/cu//Ktv/O8Pv//D8wVwbYTZVcsKKU984hPf9773TfX6z3n+cw455JASU6tqITDUYdTvTVub/u0/PhV3XvuJ//w0bZxfvTGvMGTHl849++l/+ie9VTUhqNAHPvgvL37eC6cBT96T+LdH//k9plfvude9vn/+RRjM/+h/v/WVz/773mvXTPdWfens/1JDAP3ZUW867rgTWSrzxAHr169/4AMPOuuss7/wxc9dceUlhiBhSlXdEwi9mhxQTSxSVQFQsM/Ntg866P/06tWPesxv/+cpn91p11U777Lip9dceeH5F+21x95XX3E1OXjL7+jOBtxNPwsdn/C/CSaYYLuwI5I/rsTQAiAEVfCK6dbmL77wh7duXP/udxz353/25qadMR8IiSmuvurKn//s2pSSxEpV3ZGzOVxd66ouy1tQ3ev1eps2bbr6mitf8oLfv/CC74c6tCQaanOQMSUNyWqOVbXixnU278wStZnrR3310X929RXX5gx3RERoMhvEOgwGUANLb3rFWuYAaknmQz13r3vt/YlPfKrfX32/+9337//h74gg3auf3UDE4Gr1qp1vve3Gl7/k8Ol65w999GOtwrIiK8xEJPTjILWtazMY1BXDQdIteS0CITgUajvvvtePfvK9QbNh49zPTz/9VA6y82673XLrtXPzGzcNbjj2ff/UXzn1kiOO3LTptre99e922Wmvdes3kAtiLwSue2BBRp6bG0xNrQSobXPOuaowJVPmqbe62pAaVBBwIM/NuoRGI4NjSu1vPWq/c8455Ufnfe9Pnv8KcqiaITlytgauZkoxkIQmoWkA8rruMVXz84kVhGw5GZBzoiq2qRWRECJBqlBFYjHUJZaSCClNsfQoVNLzqm7rar6i0KvzYD6a9Zhf+bJXNikP5tukdsihh5SladyIQQ5EHj0/w11YRnLMHeZ/C7ZjG65Tx95F9YKZkA0eL7/ymtnZ2f3323cur189tbpqa0mYbzdRFDMWk4i21U0WAlFYXa2Y5tyT5JDCJkKMWV2YskK4KuG0zDDKRLA8ECIGOzAYDP742c8/9dTT3/ve4yLLQQ/aLzCaZk5Y2saIQOSIDEuINNCUEKaq3qabfibkUq8C93q9PpgHxDkia7O673Mzm6q6nwE0LYEMDlK0szdcd+0TnnTYCSd9eH4ATYO/eNObn/ucP/riF79Y9VYcdOCD4WCxQCA3chWQqv74/As2zGz8yhmn173e7nvt3mSvKlZ1MINlMGi//dVzfvDt78y0s/fcb58DH/EQ6Qc0OPP0r5x66hePfM3hKWsFnkIPjmpFr61gCE/+3We0G2c3zM6c/d/fPuLoP0OIG2/6OeY2rdu44YIbb/rXT/07CeecHHBEt0wkhPDiF730C1845YQTjm+bvO++D2QWTW3OVk9Na0ZKUEWQCiJNO+9QU125eqfzL7h0Znb+to2b6n51/gU/nJoO97//fXu9qbWrdpmue9Vyr2farGc5AUxOXTD4BBNMMME2seORv6JaIBhcAOFogwEJnFAJpmKfnZ/1+89817veOT8/x45/+eCHnvG0p/diBNiJsiGE2uFCAkA9wxzu/f7UfDNYt27dox998Cc+/m+77rbz/R/wgE995j/KpgAnHnfCAfsdmJpMJCtXsRMnM6nrtm3vuedunz/lP577nOdZygZNmrnfn0tz09NwAzwM5pM6MVFOM1Xt//WNcz57yn8M8szc3Kb73GdX6yb8DiJTsAAIOZGrPPjBB3/nu9879/vfVsb99rn/NT+7Hs5Pf/Yfhl5cvaraeXrFhd//AVpA3Szv/7CH/vBb37rh4mtjiYOOcZc99jjzrK8yEAhCIOEHHnjQ/37ve6qZDEEwmJ9zcyL60Ic/+LznPe/WW25x93Zu1qhts0NghoMOeNhFF16RW7zt7//hhhuvaxPSoOUYb569hfoMQs4qpqEfE2cVZEACP+yh+/3wB+eef/5P9tz7fgzAWlUlSOQawrxixb3uc6/vfP/bVYWrrrr+hz/6SahW5OSBJTDYVNiyaagiCFJVyZQgQmHP3fbcsG59dDBQR7hnuNXCg7k5dWyYHWSIi2ya2xSmKnfbdbedzz77zNtuXU8c1cFA4cjve99xhx/x8mxlgw1s+SHiX2Asdh6Jf1Q2ECtLZDuMEftucuABD3r87zzyDa8/kqlng2rf+933jLM+a8iaqr9/6zv2vufuHBqHeMKmdbeR3ipoBNWPfvBdlt453zhHhFJCEHYnkZBToihtmjPVXq92V1cLwO//wR/+yXP/+AH77ieg/++tb73HnnuaoVf31LSqWAQ551NO+WzKg5lm9raZ9QgrV62eXnfb9TMzm37044vf+KYT3MhMSTgZqhqV5CpyMTYjsgIM8XZwzeWXH3TQQf/zrW+uWsNVhUOe+KQ/+P1DnvqUQ6PIP/zDPx1wwAFQtfk5YY6BU9MCNtVfITGEWL/v2GMVOjU1FQPZqO7Vd93zns/5vWe9/uVH1JAvnHbqhp7PrcIxHzrhtC98/kMnHBcdFQmpYU5f9fyXvev4E28RSOwjKyQGx+WXXrXvAw5AlN99xmHPf+4fu/sNN9xkCAZUofe+9x135OteOz+YAapDn/yMZz/72ffb914S6R/+/h2777F3SgNnnVqxen7WAMQaxEaooE5EBGKJg9zODOZDBahzrDlWe+211+8+5dDXvOrVqWnaQeNpYels8u5v4U222YY9k0UBJ5hggu3EDkf+1FDGcUbICodyryau9tv/YSund//txz7mbX/3lgfef7+nPe2ZK1bs0qvWHrjf/r976KFZDaoEqaoewAQxWLY2hAAiTQqO++677//+77diPSWhXrtm54ccdMCb/+Kofm8lixz8sEc86UmHqibNDTICELlGZshUFZoDD1x75Ktfvtuuuwza9oTj3792zYof/eSHa9fs9tojjyJiDj13CGKQ3txs8/jHP/55z3tepBUSePWaXa++4qcEMAc4iyAlwPHVs8/p93YRiYcccuj73vV2U33GM5/15Gf+0do97vOWt/3jYH627/jnv/vbF/zxH9f9uGq33dcPkqt96mMfffQBD6yletrTnta0dtSb/uLkD32wEpmup4488tVc1X/3j2//k+c9v9+r1qxa9f7jT3DCgw9++NTU2n5v6kEHHbjvPvsCqFbWyQeh0pRyxVMPP/hxb33rO9au3uNRj3rMHnvuGiJOOO7k6RXT3/vJj1bvtuo1r39ToHD8e09c2d/pe+d9f9Xuu7zuqKOZJM3NHbj//lMrp6oegKaKEiWmNhvInaDtSR/78Gvf8JoQpx73uMd97j+/BFQh9smVHWI5EojKbinZAeZIELCsWrVm9fSKNatWrZra7bJLrvz85z+/YtVex3zomIc+8uCnPf1Z5CKZgqHXr0E6oGan3Xd673uP2fse9wix6vV6l19xGcFB0ZwCM5nHoTUWHDYTXX6hYZhK1G9JxgnOMUQ1BzuqXp7Xqf5qbVMd4Qgp5SuuuuoZz3zavfa6x9rpXm+q/873HLPnPvtz6FvbMGHl6kqE4U7w/Q484MADH/C9730HgEhZY4jcnYhUWxF+0IMPfPBDDjj3v7+xemrq61//xj77Pej+99s3xjX9fu/tb//Hfe+/txDUVFhSTg6EEO57/31Wrd5513vs9r73v7uqVyLgmX/4lHve6x5Hv+7Nf/vXRxMqt1Zs4C1YeGZuEyjXjHKxAGpKof9P//TPMzNzu++8dkV/l0MPe1pd1y94/ovrevV0v/9bjz740Cf+HyZ/2EMOfsSBB/33f52z+x67ffkrX77lllt22WW3UNWXXXbZMcccoz4M9i4cKFSe8Vd/9/+eftjvTlHvg+9//zvf++5rNtz6tnf807985ANTwlMxnvzhk90Niumqz8wtYIhnfuWMFRVN84oPHXfice97D/q9N/3Nm/d70P47TU0d8rjHn3zCsW5IZiwhZ52amjbDQQcevP+BB/b7K0XCO9/9ngP2P+DMM09fuXK3k076t2c+8w8Oe8pTmtSaWemOVezlbJDAMcQeg9FqypnqeiUQAjHBGX7d1VcFA4N48QqDo8Udx79iwvwmmGCC2wN63WlvbGIDYPXsqr/8/T9bratIOEMFRMYggMxAcCrbm/2m88WyKFq2lCGBGWkuWANT1DvNOpsAwArMkDWglUpVAwhQAYR5ICGbUd+lLptGRDAcoARotkgc2WfNskilGogjA8naIKogR4/KJvHa1lFhAzC1vqa4zSsAJLTzFa+yFu0UDGCzHghE6g1owNQe895jDn7Qwb/9+EMkrn3r299z8CMfecgTHtdn01ZDjADcM9ksQuXWTw7h1qiyjIqzeZMkKiqYTpMjG0I1IADoIcENKh5CzvMxwCwRanCdM4SNKbs2FCpVZikrwLXwhqivGpRA7NANUWo0fQCo4JTMVFDDAc85sEGqbM7ZmBwxZ+0FQ56DRoSpxhCjs62H6Zve+Ld/9bZ38IrplZwYlLOG0E+mFRvyJgjDapV+MvQAGEA5kyeODdADGIacQqgMBBhZK+5dfA+hMUhAwDxsDnlnVMhIjaHmSBndEs8tIIABESaw4lmFNub1CNNzmM4AK6aLHKwKiXAhBwhOSmVVvjvwsBjApmgAFtRF/nPyTEqQAEceQLKbqaxqwb00x1IBbqCGnUvFm8JyhlroA7ECQ800mTgDL335y5/33Bc88UmHGXEQEJyh3QozgJmz1AqogwkBCWgAALUjmkIYIDNPADEFAG0aVLHyBJIww6ihbBuEa2gfUAgGiPNADUyZArPJ0coqAdAoagnWBCicQLUyJ4cAERl5Hiyt9AysjpjainxAVQzk6sQq5A4zJ1BV2FHKXgWCQUgBBbLSlGSDtahkI8gQVgBBDYAKz3maIkgzC64br5uKpzAIJrDohEZgiikobFaZsqxsFRXDDRBTZAb1QYDPNbMhcJQps+AOJpjPB1EzZpoqreoOMNgyKABOpNo2UvVTSmWPIaByRAOARGiSVUxVpEVLumzO8HzoY9BFoN3uDjfBBBP8JsG7f93d3/HJdx/+/JeswFSNnhkTlzdAt7ywgdlw3dU/JZhH8oqiRR7hV1mIXwWYi9d8jMyOHKIgRFSrS+BmZ9pDDUyVzXQZ6PSEYuALNUssE3Hutr0ygB1dZSpNgfsACzvDTJWFMyiDHAZHRahF4AJeYTot1GhuuEg8jqqagin3QECCBgbckSFUM1a4TT/lsKcd9pRnr5jeiYjOOuusJzz+cRUjpxRiTMm9rBQdKhipggViHs2jwD2I9CvjaNpnA6mLt4RUbg3K0BSym8UQgcDcJ5bUtjGUrafYODpIRODulgnkCGV7VWYwKEqAJcQMLotaC7zuNqjjIDBDA2Li4KCMNoZitK4Rp5IiRGSdfde73tWvdn3m7z17eno6chJEAocQ1FLZXhlSAQJiMwQuoY8ZlgOLeWF+CPAqRIIDSKrCARwAgKAZIZQiAyxaYdYaBaY5hgQBwGrBtUbhIACIYA5HDnBwBNiQGQgCIoKBJYxPimg0BN8hx79yEQ/7HAAnMNi8rKct8EhSG4wApik4jMwZFSI53BXMkOkQVrGroGm9gbCbXHbBRRL6j37Ubx1y6GEgqwSaU+GpjmJfJuYAmJsKQdUAAYLDgewKIZjCDEwgsqwtgCr23IkiGywCCcmZ3YHMSNGNGLlyVF6obRQJEZbNuRZCEhaYADXMGYgEcgUxuIZUAgC5JkQJ4LoOlNssQkzcpASwljW3gayIgbw4LxaqBVaghSIKsq5yWgG4Q9kUyrA+xQxv61oj14FXZQAC6sJrWdEXQAixD+kRbIUgZEQBwIJQQVQFsF4dRGog5GwiYLYgtVvFLKCkWlbohvqAOLgVN73AVQQ0RlZTNQKiKcjKzS0ycbdh3da2mZ5gggkmuAMIv+oM/LJRFqgVgQEEcyh5hAkEQaDlte+REAAHEiMywYfKJ7wEjIJhww06A2C0sMwWMVUocalwDqKAQQAQXFC2vzI4mUcHCJtiiJ3xkIK7kaCY+npwgkEEXRifMKb2P+Ahbd4ErxyxHW7hKhLdLATu9lNwArEEZAdIHQoLDMCYiSOZAQ5zFgIqQLy4FLHBI7G7O5EBAqqqAC97oTK4AuDuhLJbnTkFuBQm5eSAgAnuCCYuAAkP64XgcIHCYMwgY5DD3EBSw0EMtySsb/qzv3jTG98KhCxlS2MGGJSYHcgAgSKcQaVdCmPxskFYRSBAAAI5ip+eRwnuRh0bgIRO5lIQQxIgLAxH7pJHZRlUljERBeBkxFzKluDioABxoGx8W1z7qPtf18cMd3BeVYQcAjkc7h1JdXIyJoY7mOEEB1Pxb3NQMAqGLGgCiNAzAJQJENQOMJmhlUr23/9hZQ8Xc2eGI8VADoWzO8G5bDDr7mUiE6TwIClVw4USCYr7GeAiUsJNnTr2GA1gUYhQt0EIIQS0kRJpBIsjOlxgPQ4dI4IQVx1ndmWge8KkAsDINZyQyyJ5cNRVAMzLZsdOREJwhwfppK9htI3DhQkUoqMlYRiEkckzSMTJPEDBlCBW+lHZbJgCARRQAe7qgFJwWICTqbAUDh7AAkNXRUxgd8TIDi0TCyKBq5OzdC0rFNydudun0YkcToCweOlRZb4CL6FERMOp52g2MbatyCjUd9hzfGHWMcEEE0ywVexw5K8wAHcQKQHuQpCyUT3DHMYI5IV9GVEmhGEEZnG/CUvfsGWgGok0JfHyKoYD1oVqlnPL254ITgQYgyEAl4iNLl02JyO4wxxckit5hgMU4IyyMRYVYzGK43dnWoITcZcXp4YDAVE7i70zWrBDAyR4Jy2U9IVGdIVHsQYjbUExJJqgEopiRA4CZfLAAJxAATAQ4OZUPJc6d6VhJXTxsWVfXwZAUoonAoIAAWBIcBQax8MMMJF2LA8ClwVDFzIod4kCASi7xA5dosbavRRw6CIFsIEyVOCy6JgzTIsYJgY3eAheGJcRh8K/fGEpPi6SlqCjuaU/3MFxmEuxhvG9AHwhLS91OIxqIDgkuVcwMAdCSxTcS0uVkJFoXZbmQR3PBzHBiqOBD3MMMLgs38eAkcPJGDRcw7DqQknLP1Rsm+xOw55vZYYjjgqi6DmYpJsPMRiewQ6PikAAl/lSNyuADZ8RQrFgd1UKDK3wpcsMlzUZPSpl57iFa4egoTOmdGkCgDMyuXZdC4DBmYc03amsmkQKl452td3SiE5OQkggBRkQuxQMTgowqAYM5XPXm8ojJ2S80IsRnBTO5OQMDB8G7xrUwEw+7Mi+jYChbrPvMZvvBBNMMMF2YgckfwBAVBzqiSgMN2nHwuIaQzioG9HL2ABB5+Q3Glyl++oEApdxmtRBhCJJLShAUkYcNnhHRBiA12UMK9c6DT394YIitYy91wlFIaAFCluYQhkVzRdWe2DAiKWBVGAiL4xBUXSLGOAwGzJLg4OcAnjMYkneRRe6L6w6PLRJuhGK7NYARF7qKQxd0wtXNCCOLFOEILChdXSMaHZqZREsIwAjLyvoCWR4ORPIO8ZAcC9lGkY/MuAow2ypgU56Abx4qRbaRyM2S52iEggW4FyqLaDwmSHhgMOIfCjqeiaPVOTFjqiChtrciJN0IugdRMnuImfBjnTJkCN1PgLo2tiIIFaIVByrDhikTEACygzHIV1/GjaTobsXd4GjQw7mUAIIrsgMJgd82DfIOq+HUsMweC7/cYhQIpNA0QkmoI4jl6CFDCL26OWIGxnA7AQjL/MAOJcVrZWKxmU8okY0KreVGU7p/oThrs6Q4aSnuLwwiLQ0U3lIyQwsICkdh0v4bFEdO2WewOzk5IpsyIwgZTJUqoPKri0hdvzTQA6Pw6c0AbF7J7ABCgvDxzcv9EMYuHRN4a5riVECkoBBQhArDqM+pOvo9gXe3AQ8Rvts2PgTTDDBBNvAjkr+umhKKUoLCO5a9AwuBGooLZDbSH1wUNF/OjMluiV9FwgauSAVluEkAJd5eaEwC3JFx6MKTZFRnhZW9yjryhDxUJWEO3WZlM51HIaRVtelTyB374gqERGsLmZjNnQDOEJxbHMCCbjIFaVKOpWEhoRmobYWPo1Gn6GqAwMNSbB3VVk2pACAYtRb0GnGHeO4E0fJ1F1A7kwWQOasxZNwgXA4uZegksJqFF42rIB7MfMWR6oEhI4RFxEU3Ti/uJ06xYsh0mmZ3QJ4WhZN8+KTD4MutD2LF5MymEsXci7qkY3EpQUMh/k7OBgPLYVDi+pwOjFKXBkwmIILvyBDlggoUyr9ykkU6JRqjyAHZ9dAQwmvsyGWFUPGsu8jsXn4D7l0FJezQQ1CiMNG9lGeDAC10OlSgkQqhGACZ2e2Mrspqm8nlBZWxQukd8GQ6VYmY85j9dnlFyO5qxNIfZjPIUEkKwL58MHksiwPA+JgZ5CVkJCOCHbsMAGR4HArHFeB4NQ9l2HkdDnUxsmH2RtrtZIz546ajrWZAYZiWRh2DO+eHgBASb4qUyZaJGYa0dY70hZ3355gggkm2Bw7HPnzTi4q3j2jPdLVyQAW5+Eg6EQ0dHXvRl90Dm8dXVz8wi00EUM9iovGRU400qcW0UoARjAvQsjCSXAQOZMTFwMxATAiK7yHEIcSjZPbUPMbEs5uZKTRsFdngN1ZvXgCGtdlO1BBZhCMYYVVZCYfKnUdeyKMb1i7RIUsRQCEuq2lhqUcFyfIynakWEqCumoigGDEZiVopFOhFDBC8eEyoPNl7IrZFV7JAQgBTuLFIQ95oUsTxhe9dcJQQvIirVEn/VHHuQmFDTDAvmAg9iJCdVUa4AFkNArIcHfyxTXUMZo7BkdRp0acqlDzscrzEavtfhY4GQFgh1Iph5Tao0JfikMAe6YyhVjMSTyAhhOKQmqH9UTOVFbi62DeGYsXSPTIxu2dVb17YlxgMEZJlwyisDjGtIYTmC6f3IUOYVTzpV2cmEqLlQoHd85y6O7WSdcLNdbZfA0EQhgqvQ4iCHeXkoMd1tloS4ZJDd3zT52lPQBxNGtwgiEAEo26jLDDBVAicxT/VwclAJ0cCIBKnyzdMgPeScOFsY4UWBmR4DFssxstuP1NHP4mmGCC24Edjvx1KP78zgQf2nq7MWZo/CqqBxMZbDTWLtLAFvja6CAROt888iUXLLCjxYykG+06Jlfc4TFOuQiAdZYsggNCBDcmGJmPjNZDtYYgnbmWFOQwLsOMlphb8854GMo4w0V7dCyIdcX83RGihYG+yHTuC2UrNSedfOFDha+Ej3YOYRj+Myy1Z+ZQFiwmLpShsCUnMRjDQM5EGEZsoMumDc3cnZugjo91hUYSuLvEdUGMK/TDSYfZITcqcSROIqOsdPqLgxRdeA+Xu1BH3LmEgnZ0Z9zKRgu5WGSJu90wWOfpuMCwhkElm4GHJs6hMTcV5geTUSYEABIodVSmZNeL4Be6II+FYIE8kkiHpnzu1NduiWHu9gLGsMc5dQZwgMkzQuChFN1NkDIQAWZEGtMUlSASvIuix+LWLJcPNT8eXuNc+kCR3MmGZ5bGpk4r7AI3Ot/UIuh2On83V6Kh5jfkWk7FxzEDFcFAna28M22XBd1BDhGE7q5sLVBtNiEiKI2E264XGnWeBb5QMcTF5bGEnjFC15C+UHFCi7ngclj8ophgggkm2C7scOSPyAjcRQ5SkaY62akETTjp8D3Ko2toJPQx2JZ9zY6CLgJhSCIX/V5OKiNrWVmjMzkS4MhDF3UUx7RReMXw6i7WYah4UNGfUDhJ0XMWsgIAcAYpgoOKisZF8BtZ/eIw5RKrOHSN6nzPueMyPDKMo3Ow51GBAStK2CgaxYtOWdJcaqgywGA2VJhKJg1EAlK4d3yOyYhZjNQp04ivcLkLe+eZX0JfbcEEh0glPLdk0q3z+RuGT9NY3QzjBIYaU2k6hxCcpOWufhYu4vJrZ0kcL9jIWe5OXmW365+FLg0d2hwLwcUoWRfqMqSERgBCVWyRXCYoKDVkAElpIPJh2Yc+rIvumrslj2gk7BVHVQM5gQmsIBmpj97VIhGAnBBFQAYmyNgPDFhHag1sBvbiegDjbt41UteAbsGVElPRybG0UCfl/8OWXJieLNWmO02bugRHEiE6/10HL3SD8jR515idHaBLkFGWO2WEMQ9Cz0BNAIk7o7PxOmG47k+XEwG6x4ohVqhhCS0hECm8vAqAQivd0Pkm2jbdBkrML+70vjfBBBPc3bEDegcrgLEBr4gCQ3NLZzc1G9p6R2cWs1E37AzftGPL648S7MQn7qjS0HenG7Rs6GW/AEMeKhvl62hYW5JzIshwGYuFuJCFHxdO7G7H4IY1k4+OKcFlGCBRYiSMOtORDW2MY5UxLPvQyrkkQ93PDDhGBvNR3hyLiUU5vhAW3R1c8JqykRRDxWtx4Y5WjGslNmUkTg2FpSGchz9SV/Vj1TJMy2jkJDbMpi2uVB+10yjhofh1+7ZP9W2fsvw1iwnZZlLieNaGXJ6tNO9Cv/DSCUsVDZeF6eYWRqBxf7UhM7KFmy9pO9JRSAF17ZS7/9qo6twK/yYAxiApgSZu5AvBO0X482IEHT+2uLqGZTYvu+gN87/QP0frGi9+FEZfiKA8xh1t2DkcQGflVxor74IV1sYKBaesQ5fBUUSWlch2yqW3MQhIZfoHlDjp0ldLJZefuKv2YagWw8B5ofgd27ZRl9wmNt/kbYIJJphgm9jxlL9u3d7RgeGqDcOfiwzWHRmG5AKQcWcyAIhFOxuTt3jR74vvOkTY/JgsPihYEhqBkVkNw3CNcTPlKK2FbNPCkXoh/8vlh1C8jbBwU8a4kZFG/7AsSKFjF9BYuTqSEja7duycEAHUo2NcisZhdEkY1QOPndhlbsELfuy+4/Uw1qGL+rJQfBk/Pla9NEqWAQQCegs/9sfKNV6cYdkXFXgkMo2ycLsnV1XpnwvXheUabqRnoV4oTgRWd+dI99/Q/TbdXb24pcfbplNAx1qmnDIs2shrbbwmw5LvhDi8ExZ1mFFxOhGQq4XbDNt72FvGyzvsBgtflnaw8e43VmmbJbXkhPLTMk/0MP2wuIcEGTXEsPIEYeWiyzFSqRfKzKPP9fD5DSXbw9aJo6+ykFSoxhPZLuyA0/gJJpjgjmPyyphgggkmmGCCCSbYgTAhfxNMMMEEE0wwwQQ7ECbkb4IJJphgggkmmGAHwoT8TTDBBBNMMMEEE+xAmJC/CSaYYIIJJphggh0IE/I3wQQTTDDBDoLJPngTTABMyN8EE0wwwQQ7EmxCASeYYEL+dlC4+1a+/prjrsvtwm7P4xv2LnfwVwh3/8Vzcqck8puIbZZ6vGZ2hFpatqvvAPjVU8BS23ddf9uRWnOC240dbpHnrcPdd8zl8nfMUm+OZethbB+Xu08t3allGR9Eb998cnt3pr3zdrDdZsHHT7g7tfiWsKSMO9g7cBsb6N2l6HaGHO7RdxelP8EEy2Ki/G0Nd+OZ0533XrC7dA69bBP8Ipnfzja9696bd2xy74v2bv4lvdO3L593TtNv7U6/9Kfw103r/aXhjnWt3/BaMvyqizA+vdx6E9zefP6GN80EdyEm5G8Rljx4d+IouwM8hHe5GeUXt4n8ai8vuFM2Y73DKSxbhDtGRt39zm3x5TNxJz03t6vz/OJa751Vz7cf9gvOx+5AkX/zFSb7zS/C8ri7lmuCXxwTs+8vCXffh3A0xmznROL2jUk0tnfydtZhGWLHTx5Zsn7BVvgVNuKWb33H63ObiRORO5b9kYjudK7vcNqm+Xezxt3m+b8Sq/3W/Qd+WfhV2jTvCuxgJull8Jte/Ns7+/nNLu2vNybkr8P4a2V7Bphlz/n1eTeNNIZtlmJZknSHUEaaOzjeLHtrdye6fRbPcYNdOblIPsWxZpwFbi7DLKmK7bndnYjxO27p7kuOl/rZ5jnlw/aUZQu9uvvv1tMZXrvNmyy+avFwsHwPLDnYrHXGsXnbbf2ErZRiC/3wF5IA71hzbCk1bKufjGG7nsfl+tVC+sv+tKWMbSs/C+ffpQ/X7a/nrVXUHSjddp68pKqX7cbbfA8se2Tredv6U7ydSf1a4Tc3578q7Fjkb+tml9sV9TbiE5u/1pe8KUYP2yi2a1yF2h5L0DYHNiw3utyugozOvN2WKSryD5W0SpILR5bJ59ZysqWfzGzcWro97bik0saxzZrfnBOXI7+ga/Z4mmaGLZiARwbK8awy89YNl0u63+ZlHJGz8YZe0hU35xbu5YRlboTNeNvmB7fZZOPkb/mRz4efS7ZpmZO3kr6ZMfP4Y1gOisiyV5Xzsbh+RgeXLdrWSrfcVGT7H/wtpYbF75Px/DgUAHw8t+M3oiWHR0LwkjnSkvJuvVNh+2pjK8VZNvHNf8Vyk7rtvMv2pL+VV/T4a3z8zb+lmlmS2y2VelkqtvVzNn9ORzfavEq32TO3hM1vuvXzt4nuUfJFFvaR0u9b0gRv/223p19NCCJ2KPK3nYxh8/f1kms3f96WXDX+ZC55QS8Zv7fSBZe8Ybf5EG7+nG9+5jbVju15mW4ln9tD/tyXtxVuvSqWvGG3UodLOBA2e4thjHItKe+W8mBmhasVxnC78r95ZxjxifEBZklhl+2Nmxfch8rfeDfbUjcYr73NO/nWh8ZRdrZSQF/U+lhSw1t8+hZXmxMw9kDRFseE7RUwSsMV6jz6aUlNYnEtbd4u4w2x9SdxdHBEnkb5XLb3bqUIy95l2a/LvR+UMOqrBpTij/G5YTK0XJdYluwuufvo1uXD6PztfIEseaK3VMARNq92M3P3LT2Sm7/KtofujD9BmzM8LNefl31Rb6m3bH7V9hPZrYwC2zmObE/TLHmstv6UbZ6TZbElcYGItsfT43Zhe/rVklfxDosdiPx1IFVT4ehwBsEcTnAzB8eQYIlMEBigpo1UzQdEdqJZwBl91whHJjinCEVKFPoZ0hIHIKZ2Pg6E+sGiqENyNgKF5E0vqOYUaA0SEIBgik0OD7R6kFMIkTwLAnIGKYIYIBTaxmNN2REIZEA2qlJGyEY9Zqhl4QGgQAVQplpgCokZaNVjphioBSy7g6I5AoHhDhINDIANULggEwUiSuoVFzevPHB2YzImQXBlEUqaSThBIyI7vHEBo5dbmCJGhOBAO4debFwzMWO+gkmuQXUStGh6aNmnNAsJjDXDHBFA34E0T6EFRctTJCCC+UbNq5yYgzEaAiH1iMhBLgAy08BgwJRaEAObUcUAUjuoKgGAbMQ1CJ7hRE6klIisuHgTCcGyCktIAKGp0SApyYpE0R2VwZt5mYoq0WBQiyYQyg6XNsCB2hJEAHdwCxe34GRgd4VAiChnl0gg+HBMVTcRIXJkBcHcnEzIkzbMU0YcMpExBHM0yEF6kCoruc9FbRHFdaVHaGoDLKdemFJXYXPKmqpKgmZAzJHdKyoDPDLI1MAQYnLPsEY4wKsEMkKruS8eGLmd55oNpNZjkxAazcShIsBNiR0Oz06hMkKTGwriIKCKgGVUZLPUGEUAERKQAwxZWQMQUdEcEByhBUfA5yBkWTlOaWZmQAFGSw5KlSkgABuRcYCBEqROMEWjiLWHkIEA5MZi5EQwAiFXCORksAZNPwQAMCUIzJyZhAjsBgLAcHKCE5nDFR5RzSMRqHLl5OAA4gSQsMIDKGagMQgh2CBopZUZJMABIyRQRSBN0BbuxLU6uwBAQDadF66yiiLUAiiQZlAJOLoHMlgGYiLJDTKjhlUEimzu85kCULElThupjhnTjccpIlJD0Ma0oh6VCgOpUmRBAhggV2pbdkZgIHqAAoKWcoYRqsqJORvQQmuQgMVCAuWMXgBZAw5KoskrIbiBNTtISSRAzGFmykagCE8Q8gzyCKEMgCEEy/PCARYBQNRonoiAijzCQEytznPoN4ppJnOAnaAEd89EwY0Ank8WIzduNXEAhKSjsGZQNyWuGAZXp0hwMoYRmOCAKioCuSIZYmyBigFAfaAcElC5qHooL8V2njlAFVUP3mRNKhKpj2RCigB1YWLKgGSCZq4VcJjQjLerYpVBc5wDbMorbIAxmIkiYDbfE4LWGHDuUSO51kHIfShT32fQZvc16NE8oY9M2dyrzCACWaMNVdMMpHa+X1ew0CSgRouGECtmMrRpUNeuICDCtCbiNkIbnWoacsJKAUctQv4A7I7YIpgjEpDmQ+Ds7tIzQJGnAHKDunEkZrVGGI0bUx+ANAMJ4iRMDMtwRUAGZXBA0KapJYI5mymTM4KlQB48geKMGUvFUHatUCMDTAo3sooFMJiaG0ucIwSgckabQWZiKk4gdmYIIKYKJvUcJWjOHipNbS0CCDR5RGNtpJ5QgMKkUSJFFYDggDeg+pdGPX7dcLdyB94eEKDqAAjUti2IYAqwhGBuDA6QrBnmMVYQCCPnLOiL9+HscCdjNoLnlEn6MB94mvMGAElk9BgsbKAMioFFBMxsqCRMgYEAGHLrjD5BoG0tbMiNmhM8BA91Y8bEcKtYqc2RkJKqAYHdxDwHtjYnCKfs2UwAN9QRmVtEyykgTTEkUMNKYtSjULtMIYizphQQSACGww2WNCECZElbsIFd24zQA9XMQVUdxpIBCAeASSMA0yy1o45ZyY0DoiYHgLqCuxATEoMFESS5NXHk1iSD3Lyb8YlrYsuVo8lA1QdPwZiDaXYlZF5BEVEg7mjNWiBQbsEKm3NyNvTcalauAGEosQEpp6qqTKFZQQ5uss1QSE07ywy2yFYH9AN6nmkWEiVIQg8msAxGrKEUFd6qs1O/3yYxBbtGUQi1rbopO7dGADggK8AKJyBAQTCGiUhWQD1EKpIWmBzI6kVKzK12tNEyE7UpR6kzhWxOgSGwwXwdKgHcMpIC3EclsEDBGU5SQWqZUoUQq2aAY5Ss4Ai1ASExZ3eYwz2oBuGoqqrOBBHABqbzQjCgkpCyAhTqvoMMZHASbPKsISTz+fmmBIskbRCpRSJQP1Q9SN+pNrAiCmDco1ghCdRhObObgCKEIaTmBBCDa8AVUsGFYy+pgdwzXIEyVJJAouXspk5QgxBE4GYgRl1BQtsaAe6IFYMBmMAIsKzaZmYOVkPNs5oq3CCiqpYhBCIQI2ct0mCbWgIJyH02ILMrU+3oQULL7AK2VOUmegYbxOC5zaYmRAgBpjDzpCmStXnAHKE10AcAHgADR6sZgpVtm0IIUdC0UAC9HjLQGimMgBrMyHNND1WhL5EKtwlA1aYszBQCwA4ERmuAGFJbczBDNkCNQQCc4IzcZBCEJUKKypFTAmNudpZBAmaDaSKYwyKiG8OAQKlFFWEZYDGzlJWIzBxKaiCGRC/28IwIrgCHD7KrUwBXXVenTGRqKtL3xK4NaOCeCbWjciOzBE+AhtADUFS8nDNMCUg5EQUzMid31IEB7zFZblS1SDmpbTVnBOGK03wGgyJ1oUMEMystXAlSMpAgUJvNBY0BDmEJnmpzJoRAjUJgHBk6QBUaOAzuTFQ7IMJQTa0qsRLAQJsBycCcO4CIqqpSyu66EhmIjVoqjeXIjrlaxLVGS6iJxQnBbMqZIdl9fgXSGgXmgYg5Q4sgFAEACWirqo4Acu7XU4PGFQg1oLkPqtE9VnXdA4g0V3ABzWfNnNCvJU9P+XRfB5JbMGYTWuo5TH1jjdxXBAMkJJqNUqWUGtWA4HAQQcTM1DSwqKtQyFAAUveQctPMu5lmg0jWXB5u1VzXtasCCMIEZ0+BCepIBlAtUa1lMKsUZ0tikJCwJM2mCncW1twATODUtogBzCxB1QmBiFNKAFgEQJCQc5YQBu1cFSvNAgJFBVLNPaYwP5hHMEJgVFCYedM2wI7L/LADkj8zVLEq1qQYo7YtSABAtR00BphacKqIAOQ2NdYGZliAxqZRFsqkQEM2iJF0bua88y961ev/TKke5HT6aV9YKbtdfdnVQAs2mKl6To2wZCVFdGiyASJClLnGHTWoDHQcWMzNyRUuXGU1aJECcm4TR0FAdhBCJMmeOMSZJnOgiy+88HWvfn2foLkltPO+QSJAYAJhI3M0o9NPO60vcc+d99p448aa6ty0qlBCY9mJQxTAZjatP/ghB7748FckN+mFlMxAg2QkkjSpZsDgICAwyBCEbX7WCUQ98X4wqityUicoOWuaco4JmgUSuGI2rMp9tILWY0A7SAAC9XscKOdexHzyOYvKFUhDTI3n9dkUTZNm4CCuueony6EPiMc+mTIQhGrPDAMIJpoxMDIHm0WRnoHMByG0io29PrkZFDoAKWAI8MIa0Ca4vv3db/vy17/iIDCDvO4RkQ5SQ0JBEIkMrXmqKo5BmELgqjUYFak1w6lIEZdceBFTddZXz0YFxJzzfDGYFvUWZFGCO4UYNRuIJARXq2Ldtj4D18LJNfGKflbrIdZFRGszKfeUWm03agNhSgSFENyVyD2Z5xIik4UpaavWGpAM2QGmuaYNUTq7cx7A5jgayAloslWhZ8lhDA8GZg7qYKocMMv9fg24ub332GNOO/NLhUq4wRuFE7shu7aAIA/ma6h4DpBahCx4NqOcqGWhHgHISuYCz2aoFIEkOEABVEGzMRxAm+0Vr3ntIc94+iCnMAwlIpZBk7MJCIAJYOaD1LS5cW08peDEIlIFHXg0NlWCcYwQUbXAIoC1IIcqQpDA4mZ17KXU5tQSzbM1AsrAIGBj60xgV7ckQTxnyylDs3DViz2WpA7AzEWoEnK0VejUCChcs5C3NhvhQQIcVVWZZSVYjRSQlAGBVBCYuFIGKKI66qWvvvziK+cBnW0e+tCDX/36P5/LVMfouX3PO9957jfOdYgVtmTtV7745bW91ZdccolFMNP83JwTKWABYSqAqBm07A53gkCCAVMrpl3VNUUgRtI0+4XP/sfalTtdfsk1mhywqQqeIQwgJNMQhAPcCUwqMo/GkeE5tWbA3EDBAOeMPJMcDE8AAcytbmISGMiFxCGp1VlA3KIqsQDBzDKB2mRmUPOqCsxoUxNDzNnBQiyAEzQgs6XIJCIQKCPWgUQAaKNp0BzyuCfNbmx06FrCzEGY0aQ0V9UMgjuUswFWyGMmphCYKLsYegI1hbkBTu5k111wyfTU2l5v+pjjj0Oau+THP5meWv3ls746MAcMTXrty4+46pqrhUhh8Ai0LJGZIGyDmy+86IevOuLouYSAENA62pwNFRWObg5xIoFGbssrLAdsyo992O9s2jRIwGybnQmBXeR5L3rJYx//FErJHRlsDHJUZsEpuiNbKbV4rKQmzYFFQk+r4gQqmE3IWTxrhlRFpUbOA6SEFsgQjgkJjU3FyC7ZYQaow0AkBHE4jF756ldOr1r1kle+0gFUdb9fEbPECnCWCJCqVxJyaiiQO1QR2YWyWnaqUa1w8Oc/f8qa/qo9d9lr460zyECGGQAky0GYGWCaW3fbIw464GWvfGWGx7qydgBo22bi2KoCHKvKPbtnZmTNDoVrv4pt6xJgjpwbtQHBNVuoooPbRIOB1gJYW9fxLuYav+7Y4cgfE6mpg5q2ISKJ9Q033XivvfeOMaxZs1Md41MOPaw2QoIlp35kVIEFaR7c9HohKYiiqQR2zN0ilWcKA5vKgBN+9+mHpJn1+97r/pYyGOpZAgcRAYmEBFMijmxuTqirShGzBgc3barYxGdYN7IPshlJSAiIPUgvVJEA08zcQmfNNFA90Mx1aAEzC9TmNAiBFRUoqs8AM0jzgjUNoSU59KlPXbd+43323qfHKwCJsQoCc0SJRWPX2ZkVMfzkO9896QMfBstAG6paFuUgQM08JdJ3RUrz8CwE06SD5utf/TpHDtK7xx73W3/L+ve88x/P/OqX57UB7Nhj3v6NL3/xqFcc8fojjsrqWfPjDn4CrcerX3H06v7U2kD32HX64ksvHji98og3Cghpdt1N173i5UfMNJyN//nd//y03z2kHwJjZsNg005735f6a4jkhOOPST77p4f/6alnngHg4h9fsfPae964fm6e8b2f/HjV6v4VV1yhBnWIIGe410xTrdrb3/72INP9XljRr9esnDrn7K8AMwiztc85oNNxoIiuK6UlNMo5MTk4tbkXKmE35NYSI6DEXSS4Yr7JxFBYKqyHxTUT+X777Gfmv/07T2wBoAkR2gwANFmzK7HknBkEggu1aaBtc8w73zVVTdf19Kve+CaR8KUvfjH0KwqhV02d+L4TLdlBD3rwypWrV4S4Uz39ute/xkW+eNrpa6rpqbjmkCc9cdBumJndeM+97l3HFVO91Yc95ZkD5Re+6OUxTscgq9bs/oTDnjlQ69WaHWCoJg6G2L73XW+JFfd7K1ev2eXMs74GZ2Rnim7caFZGz6ly74WYsikJiIRshZjYgGANWOu6tQQxFgsRmbyuKijVqKMjzQMEqqURVaG5piWHZzW0oJYi5SJrACLkKQFm3pJbQHCpjv3gh794xtkh9l0H5AO0s1lT7E2ZcDJUVTBVEYpVjIGrwK948Ytec/irYJYG7e885klzt2DjuvX3u/d9AgsJnfnVs0E4+ICHruxNV9XUqjVr19220RVMAUAVqwDK8/Onn356tXJ17E1PrV7z86svD838+uuuvud970NVzVOrz/6v/zWP+x3wQGKKQlMrV1x0yaXErt3gGwggzuABZI4CzKXHazUTmgY5ISObzsBaoDWLzOAI14E3CdlzQjIYSGqAIyCh/fa3z33nse/LXHwEcr9fz80OyNkcQALsqU/9vXW3zd7vfvvOQQHr15WwJGAm6YCQzeu6dkVFwkCTU4YbHOY9iVBYMy9o/+gP/2DjzRv2e8A+UlU5DyzNiwGAKkKsDDlllQBPABiQG26+/p577LFq1Zreij1+ev0NAHR+7lVHHrFqxcqqv/vFl1zdJBvAK6ncoRlguNkB++/T7+8cYjjzjK8HEc36pS98NlY9Fvr4xz9e/IHdFfAg5HCRaAoAObdEBk2eMhHnnA2YbQeaWwrSZJNa6lgNBq2CnOEEJ6gmtyZwriRnHTSOWQ4xhhrre7TR3RKH1qMjsCjlRjQLxznqWb3S4WLrj3nP8Zeef/ns7PwbXvNa1PLABx3YpuawJx9SM8EziABObdt6k7I5SU5sgBEQM2OucMFsaBMEEbnl2MIVgeEIDuEB0oCJM61sMA0NmLPd62pFnhXMVxW7ENRV/SP/9rHTvnGG1P2cvF8LHKaZpMI8ISFSU2OWcksuniOoNjPxbFq4VGvUPObgR6+oVq2uVrz6Ra9ETg5630kf5ZWrZeXK337iYWlu/pzT/mttb5VQb9Wqta981ZHqBA5uECFmaDIhPuH9J5/zrW+jqloAxNnm3LNncyeFZ0MlotmEDEOzfG7nBUlY1JGZWqNnPePp7czcAffab2VcAwABzDBH4GCwlFobzE1F+eEPvnPyySczqM0NRyAIh8gUhev5VlWVGMSsbkHCBRdcwFwFqfr9HlUrz/raORKmzjrj9CpUvb68/6R/aRUUeaonphoQzJBdf4nU49cOOxz5K1K/weqqhpETdtlt159e+7ObfnbTH//RszdsnP3aWV/NM83jH/p/PvWpT4W6Xrlqt0suuhTtpgfvc48QpI7Txx/7iYDK5tLrjnjFdH/nRzz6kXMqjeOMs8+ajqvuuWr/TbfMMcUbb7rxLW95y0v+9MU9iU94wuPm241tnn/38ceGqh+rHlN1/AkfNocykiMwe5qFzni74SEHPbDfq2O98pLLr/nPz3/p5Ye/Sg2Dpj3zzC+ffNJxJ5707n9+x9/3+vVnP/vvq9as+Op/fV0qadrZI171EuL48le+JqIn1D7oAXtN1yumZdeLrrhVWTK8PzVVhV6ggDmgkytMXRlMBKnkMQ864B4rdj/+xE/OtiAhp/bFr3xhL4Yer/jqWf8LR9vmug5uDSHFSJdfcuk73v7udfO3JR9c+9Mr1+68RkJLMidiCfPgebb5XVeuvs897rl+wy0suRci5sC9NReef9m6jTd/65tnH37kK27d1LYa2rkG2q6I1MzNq2KQeMXU9O8/7WnXXnpJADbNzr7g8Jevb2ZvuXnDB4//wG233ZZF/+c75wbBzy66/P8+4/em10y1jG9+91tf+dJpZ3/tvznUWZEdIiCGWQy86q/f/P+17fp/+Pu/Oe3Ln5nLN//OIY/JG2959IH77RxX9qZW/+CyG1IIK/oVz200m3nXiccc8ntP2zA3d/kll/dC7PXCyw9/EchuuvHWv/zb/3f44YdXdXz6055W1dxgvvVGpOcqqR1Q1IvO//7qqVW7rd7zkkuvaOGtbcrt3MMPfphQWLPT2kuvusIBgFmoTU4sVax+ct6Pfv7T62Y2zbWNhtjbsGkWsBNPOr7RnLQ94sgjKMp5F56/aTCYmUmf+dgnDjrogJs23vjJj318/S1zg9n1z/7DZ11z7RWzs5ue8NuHpNnZudkNXzrtK8z1xz76adOUcv7GN/9nn/32N0qKeTjMISLIc0jrRZozz/jC+o0bZzbddtihT7r0kkv22n2vW25Zz1y96ogjjz/5Q5J4/c9u3muX3ao6PP7JT5xpZ62dv/maq/bZa3eW+LVvfnNdGnzp7DNCjP1e2Gl61c2brr/p5tv+4W/f/bLnvCJy/axnPrNpcwt9x4nv6U9XK1buFHn6Xz/8L/C55//ps3uhqqd3u+DSaw3IDgoMa2MVUtvmJr/ila9esXbN8179CgXEHXn+8svPj9VUf3r145/49LkWAERILSVvFUnbwe477XLve+w9s2F9DEE8hIQnP+FJXz/rq20zSOZPPPSw3Nra6dUbb1k3GMxtmFm3YtUqcrhZm1PKiYlDIDP7zCmnXDs38+nP/ecx7/gHzG187rOedcZZZ17fpvWpedyTHy8VX3bZZZ//wqc+dPJ75uZm7nu/e4t4YBIIGRHIfOC26fQzPh9iHaQ+4YQPBa8geOxDH7hT1d9plz0u/ulVm6BvPOr1n/jgB3eqQ72yuuiaqw3x4kuvnK57a1ZOf/JTnyIJOeH/7LfH6rUrP/Cv/2qEW2+7+Z732uOoN/zdM57xh1P9lYceeui8Np//3Bf2WLHbfXa634Z1A4Mg51NPPTUITU2vOPrP/6wFzrv44mNPOPGA/Q8SCq86/NV1XTnIQcxsqkxgtrNOP3W1rNhzp71vui5rRohy0UXn7bRqZR1WPvl3n9p4Ns8hsDooQOEG3nmnXa/9+Q3NYON3vv3dl73k5Wjak9//gYc8+OBNzdx3v/vd17z2SDAbpEkKQGJRbfknP77I8qarrrri9Ue9dsOG2R//+Pzjjz9+0Ny6ft2Nxx177BWXX8dCBs+amYteiFO/8PmKac3K3nSvWr9p4423rvt/b/n7I498bWD6oz/4XVVV4LQzTpdQ7brLLpdefJk5Z0f27PCkmVm9XfeB4//5U5/8WG9qpzW7PeCCC8+jwc0fPO4fP/ThD+x+n4PqVbv/87Hvg86fc+YXV1SRQ/3y175xDnDLcbD+wouu2H2nPUMC1H/04x/Iium6v/KqS66hhIt+8uOp1Ss//smPPfygg3ZdseoNR71p3hG4z4TsCptHiOScLR3+qjesWbX2iJcdzhSYef8H7xcDr5re47ILboZv2nDTdbvtuvuKeqf+2gdsmgF6Vd64cbpWx/z9D9rn2Pceh8Ze+dLD+9MrXvLnb0kAV/TDH3z/mPf8/UMfdiBL9caj/wYKzNz8qAfdZ2Vdk6ysV+598ZXXO0GQKxNCbnFbrtLjD3nqhpvTzI3rfnrB93926Xmnfekr51983bXr59bpxv/6ny9Xdf3UJzx73c0bf+vhj/359TeddNIJQQJUwZyywRFCVDWBSAjJXAE3BKbTTzt1qjcdQ33CiScb8eMe88SNt64j8qz5cU948oYNm2KFl/7pn8RYrV671w8uvE6JmUxajVa1s4oWIICQy6gEjVVg4Uc//GG7r9rthJP+da7NHNjZX/byl8ZQVdw766vfqKtOt5ubn2GCQx/6kIeYD1KTWm1e8rIX7rX3Pc/78QXHvve9MzNXz82u+8DJ/3r5lTerIutA4MxCxMS/aAjzbzR2OPJnuXghM7o1LEhCcHcGtfNtXVdkiEYY5I3rN97WNJ/69MfPPPN09Ho/vvzijZtuaG32U5/87Mx6nHjMvz32kU+anbvuf/73nN6qOFA89SlPnd103YP2f3AgNleW6gMf+OifPv9FTZ5/6IPv99OfXnrVNVf/6PyfzCf92c9vevZzXvCil7zMgCAQAoOK8eLYE45/53uPHbRprtm0z773ftbTnnzZRT/cuGFDVVVnfu2cP3juc+ZtcOVVF33hc5/44PuP+8AHT7r4sguTtp/5zGf+8i//ukmbqp5efNn573zbuz968mdnm/zdH3z7ZS95pSWtmdLcbI+qdqOiAphUE9iNSOFZG1j7rR/87yc/c3Ls1dkMoM994fMPfujBg+yzeebJT35UzqjrCPcgVcoZjl13Wfuzay+//torW4NHGOUQWte5gCQwo0Gs3HL7lCce8smP/ZtbQzAoiDUDqKfm4dKT/hRPVbHiGiSbZmeJpFfh8vMvOvD++z71yYecffoZSHGFVKtqEYXNV494yBNW1Wt3WdHfa+2KDdfdaIN2r51WpdkbSNfl+fnffsyh5/3wUs0IAQa0DmKYO1OVsotwVXtdNUgbYfaJj/zHu/7pA+tnbvv2t79z5CtflQczOc2G6eqUr5xx/sWXnvaFz01XdOKJx9+ycePMID3soQ//+llnVgEnn/SpZz/7T1LaeM97rL7kiouAOlDfHMQcqwhr9j/gARvW3facZz9HYr+FMesHP/T+d/zT29s2r9uw8T73vW/rWYhdEQI5MN/O3/++9z7zjNNnN82tWz93203re72eszXNwN2ToWUog4XQArPte9733he+6Pm7rdr58vMv3nDFjdbiQ//y0T33vidz6MVKW0hArACCasqpdfcTTzr5ta8/qpJaUBngBiomaM4xKEhDICF4xn777/+Rj3zk4x/9xA/P+//ZO+9ASaoq/3/POfdWVfd7E8kgOTMgmHXNEhVzXMUcACWJAbO7uiYUVFRAzIoBFRMCIlkwg5JzRuIwTHrvdXfVveec3x/VbxhRd9Wfu4apzx8wr7u67q1b1V3fOvEyDmHf/V49Uzd7P/Pp5513rqmdeebZRdGL/fjlr37u+huuuuiiC0742jdY+em775Wnlw0HUyd84/ivfvv4QeZPf/bbr3jFa9JoyZbbLrj1jhsvuuLqa6695d6Z5pbf3fmc57zgFS/Z58xTv7/fK142Gg5uufWOt7/7P1Jr8tEGAtNcFGWUcNxxnz7tZz+jXumA5eRN8+pXvezepbcvXbH8tDNPKSvUdULr2qPgUIkSQE967BO//Y2ve079sm81HvGwh515+ukcYwYSuzBT4zpIRKgzRODZiTmGKO2zgg9IR/1YVkwzjT3wYY8A0QMfuONPzz1nEjJq4N7mRyFlSymbE4eidVrVo2lhI6iqX3PtTR/92CeWr1ycrHnt/i+H2FEf+MgnPnz00unRuWed+/r9D0Wt2tS//c3Plq5c/L1vf/PMs865acWyXZ/13NuXLV8+GPz7C56XchMjLrj6gm9/+3PTo+nsWHudtX93260f+tAbzzj7tBUrVpx95hk9KZ/5jOfcecvibbbccd7c/pTa0hX3nvDtE+rhcGrFytFo9OOzzkqCQ974xpNOPXk0M7r0N5fMLJ8pGE3KLELCcEB89z13XTG1ZNE2O/Z7IQN1Gh78uv1/d/NNdT11yo9/5MQgns3KzFArUBbSQ05wpNFw0bbbeWPfOeHbr3jpq5qEDx/+wYt+8+vhsHagjJOqauagrDqSWIxq7fXm7LzzzlVVnnfeuYceeigR/fSnP7/8kkt+d9ut2Q3EJEHHmdr+zCfvmZsVM1NLvnniN772re/WNHH05776zGc9x216200X3nTTjRde8tsjP3XU9MzM0iX37rjDTmpAAItkS72yBDJhqM2K44//4t0rl/78vJ8dtP9riBuIf+H4r159zeU33nbbLy785S333PGZ47+0YmZFynVu6nPO/ukRHzl87blb/fzXF6297rpbbLTViuXLd3rgLsM0fPWrXxEJbNh+h0WDevqFL3n+ZZdcPDNVf/KTn2gM7sOmjZZFhAlb/NaXv/KO/3zTcHh7QenWa27/8Ac/c+THj0k2+tlPz3r9AYfWo+a9H/nwueedM6qXfvMzn3/Xwe/GAGFOde9o5tWve+3nPv3Z1x94MJg+/+UvnPnrX82klBjJwYW86z/f9a3vfqeumwsuuDDPTH3uuE988uOHL19+1w9PPeN9Hzlq/U02AoWsI0Q02hRSiCMNawERQVOz3nrrbbnlll//xjdVlYBsGQCIUSNCYoxNhgMGJmYAZo6UQ4gGGzW1VIUB2fS2O2/99QW/GDbDqZnB9Tfdet21Nz79aU+76rJLYX7RxZfusGinycmJ035w4mte9ZLh9Iqrr7/pPR84IiMHcWguqIwsKKFqamAihwKWcw3gl7/59Te/cWxRzskOAn33+9/ZZZddkulMHu262+PUQcKAF0U0NwKpJfcM2GWXXakuW2+3xelnnHLIIQcWVf/UU0+78uorbrz5BjCCVGCG53Fy2RrMGnfwHKI5HExEKaU2UoKI3KnX6zVNYgeyL5yc+7KXvayG77334w865LUw+/iHPzZ/wfoFx6uvvKKZwe23LH/Bc18F7hOZ+kwRYDZCiJrFuDFJdQ67PuFZT3zsE+Ert9xs3u9uuWE405RlqcjMhWuP24TWZgDVICEnRSx3e8rTn/yUZ33qM18xR0E5YPCKFz/vrttuumfJsnJyfm/++sr21GfsxVz/17vfNqffI3YK9KKXvmLTLbaPIptvvs7N11559im/WLTlY6Gy9aJNH/uQRzVTM3CNzJ5yrxTMAIAIZc8OKIhDUMroFyh4WA8kMkCPe8Ju//XeD+332oPdkQwhwjkDlLPH0INh4XprXX7dpc9/5tMnQjzz/AuUaWY43Q8s8MaGiGISkumO2+9w2403LLtncUo1Sngzvd2OOxW9tR75xD2+fuJXJwo98+QfrD133sLegs233e6WO26zjMt/c9GDFz1w2623ueqqKzCqgvHnPvHxBb3JRTs8+FNHfbZXTspIH/fQBx//+c+uu3DephstHCy95dZrLlq0zdaBscM2O9160+9GzShIzTJjqIlVPccQzbN5bT5CEWDxK1886VEPeRqK/k47bPu4hz6M64EjP2b3V590xrmfOOqYPsu1V/z2mOOOm7fe+mWYeMNBb5zoVXU9tdeeL3nMYx6DsGyXh2x2ww03ZHADOJnTyD3DA0KEjWLUbAqIIT/uMY9+1jOe/cXPfcEJyREoEIOoDadBVRRz5vTPO+fsnXfc6dnPfvbxxx1dRAHZYW9602RVzlmwznV33LE8p+xAwDk/O+8FL3txVcQ+/Ffnnv/sZz13w/W3PPus88tynhqfccYZCxbO5VB8/OhPND4solhurrnmGtW09bYbAsiJicEMU4UU0Fw3w732ePZk0euVC88+51x43vMpe1x55eWPf+ITPvChDyWzq2+7Zbtddtpq++3UFKAEm6ln3vruw1BgvfXWG003Eyhm7rpnh002W7uc86xnPXPkWSbXeeQTnvqIRz8Scdl2Oyy85qbLSPqcJguPUKOQYxid9O2v7bXr83vFWptuuuk999yT3YlAgUEgYaQMQwQkBIlxqEMJkYri2c99znobbXTDDTcUjJxRFNHMAFbLArKUnGiHHXa49tprly+7dzQYSsTRn/lMSkk47HfwAU6UkqW63nzTzXq9+etssNHK6ZoCwT25EhFU4aPg6al7PXmdYsGZZ/3k5fu/FnPmfOzzn7dRM1fknW94QxDUbgkaykn1HguESVg0515VAHW2UVH0Tj35rMPe8p5+fw4wCtLk4YozTj3zITs/HkXcZaedH7bdLrF25PrAg16F0Gyy/rpXXnnNTbff+7p3vKuYP7dJdVEKM4YAUItgouo5wUFgIqJcN2XJqu4wSKBYgOLUDErh83/x80c/+tFBpMd80OsOuOGmGy3wi/d99ZZbbxNCePTDH7n4tju18SoGNR3X5rGEIoCFnFOCMYrYe9aznrHpRutfd91NJCCEgKA5EQHQSsSze5POOe3UKshTd9/zyA8eTizkfuVFl6/VX+ulL97nxS954ZLFd1mGuYUgALllKfnyKy7p9+dvsdmid7/rfVUvGAY51zs/8KGnnHzmd773g6uu+C2A7KpwdYhEqM7ce+eOm244t1r72c9+4UwiK+c9fvenP/bxT4ANdtxqvd/ddstNt9z8tne8U2Iw1SBR1Q1QaGBWV7cMHZVB3/TmN5YFtt50HVjKmpesnPrgEUcIY+158fgvf+4Xv7nokbvuKVXfNb/xwP2vu/ryww47bMnUzY/c6d+W3b30ljuvX7BwAblEYvOmsUQCSA/1oFe4UxsAiEJAIYU2ZJUiFHWdXvSa/TfZdAPHyp122PLm627/4Q/OedCDHqVodtxx+50X7XjTnStvWXzvJltsGgzP2/ux6/ciLF1/z11rb7nFU5/zwsf/267jaGbUsZCKOWUYYUj8/Je/8gFbbEmERz5857tuu5mIakMxZ+6wGTrUCRmwUNaASYCV0oRfnHHaRutMbrDhul/59veLeetus8P2t9xw+S5bb7l2f+HvrrsLYIQG5u6UkkpEcnCQrDkEFiFNNdwDWETaZIsY5cILLzz88A/HSJMTc485+jimYu8n7/Xtb51ghvN++svnPP95IeJ73/7mU3bfp9+ft8lGG9215N5BPQISotTD2hyeIZGZ4e6qObSahIAYJfhwVAcJDn/CEx733ve9Z7/9D3SDZjAh5+zQIAGAo61MaRD71CePfcOhbwmA+ZAC7bToQSeffPo3T/jqTTdeExma4QaIgvT/vmn4PxRrnPhDNiZ2uJnFooCzAxByd1WNsTUmE6uPRiMHMY2aPLjqqqt/fNY5K6dWzNTN9ttuawkXXXARIEgmFPOwcfXIhDRoUgoVKaeMQDTPFaiXalo6UYVNHrDxd7994mRVbrD+Ju9+94fKCiOsDEUQkZxSKHqom+233bZJef0NNpzsLfjJ+ech4t8e/fDzf3reBRdc8MIX7iOQxuu11p6XhgNrmkDUNCN3r+uayA3sFnvlhI1SEQo4nHtNGoUg8ITgmW2kwCQ8p6ypZGlT1rJmEfGmzqZl7JGDgPlzJ+++886DDjpksljr05/+SkogSLYsgQ3eJm+C+fILLh40zVe+/rXTzjm7iJOSGTn3eU6jYTqTxH5dp92esNsVl14hZTU1wkQVr7r06uFgOHXvyslSyJqn7PXkJUuml04Pbr/tls0323BQ4z0f/MgmW27fn5z35S9/9tbb71AuXvqq/aZG0896/jPvWT59x50zi5fZNose8r1TvrPLw7foL/CRj04+/Yy99n4qFfPe9IY3nP7jH/WKggEGGOxOTAEgELlrnRt4BpwFqopscKwcDM0psnzo/ftde+21yc3gBhxwwP4rlq4Y5WGdR//2yEcWsdfUvRgF6Z6cloYQ2iJjDCfkrAoXOCFaaqbNzAFB2H77RTNNWmft9Sb6837yk/NtttYhMxpPhua6a69+yYtfdONN1x999NFbbLDt8nuWPf3pTxusvHc0PfjJ+efvs+8rXTgQkPCW/3jXs/Z5fiFhZtmSxz7qUWf9/Pyrr7t00U473nDTreust+Fti+9YOb1yODP82tdPuPHGm3O2IlTHHv3pN77p9aZIGWXstwl8DgEYFAopTj3123UerpxZuttuT0AArIll2GOPPYhImFm9jIXnDMAAgVRVQW4IPBqNDF6rvfmww774pc8vWXnXqT/4bohzlg2s4ehRQUubdEdR+cK565zy7dPnV+tuu+3W//lfb1cbze31rr/i4uFoML3i9rPO+GEllDSBBZDZAmjwBLjW9agnFZxhOPgNbxpOLzv88A9tsO52K+8dGQFMlr3kCgaW6Agcisc/7rG//c2v+5O9rID7/occqqq77bXnq1/32lByr6xuuOGG6Znldy2+fWJO2ebceJsBIAIjA5100vevv/uu5XffmUejdr0OPOCQQa17PWXvfV97AMEKwM2c2AAzmEGkMHWCMAegrT9nDnKwOkKsmlHd1i0kgmfSYb3e/HnsDTiV/TgYNbfdfo8iTjuoX9Secm4KABTIGLVRggHqUWLVBkhFITa3qSkgIyoFEKBuIGIW13H5uGFKxtK4AWyqrB7aKmhMDnJkCm14LKsqR5AguR940OvvnZ766Mc+snDhekuWrzBwESJBAVDyCCe2J+61+6jW22+46Zl7PW3FssXLp5a9+13vGKy4d689HsNB1l5vnSrAkdzBBBIxHWy3/Zaa8+K77/7McZ+/+prLWep9XvzSb33ze0d/8lNEtNPOW5sZKGQQt4mumt952Js/e8wnVo5u+9aJX1UKFnjlMIcioBkUNCDzm26+uTFlJgAppaof1eHQ7InImQHRNJoi8gRQwI47P5CD9yd7y5etDARSVFQIw9XgTo6iKkFkBASRLMPhAKE1SSnBHZlKcgZSAmM0XCFFSAShNq2X1dtkpAyg3y9G9TScxStNYDROg1hFs8Izi1tkqkIMQmDMTKdlzQAlr7/BwkMOOWDxHXfk1jhFZGYlAYNRGZCAmjmFfpCeaS02zdxste0Oez3tVST9jx915P77Pl8INTBwqjFiMKgAwp577H77PXe86z3/ce2NN5GUEbLWnDl333LL1L3Lnve8F15x9VVeEMqoqhwkKZiQLVlrFASkqpCzWsOgwJLNzUAkR33iiNQMVOsVK6c233yTHXfa/re/vWAwNXP9dTc9cJedzJsF8+Zefsm5Ta6nR0t+dNrxVRWADE8SRRlUImmTPBVCJQe1hohAhJwa06Ko2tHnzJtz9113H3DQIZPVOsce9/U6I4bo7o3WTDxbM58vu+Jqg2+/7UYA3P0FL3zZid//wWc+85kQwtabbzYubC4MCMyF/neb0f+DswaJv3GdVZG2DkD7rMFMBsCgqhgX0gTczayqKm/D+AMnxsZbbYVQXH3ldddfff1EH1tuu9nPf/2zpmn2+feXz+G5JSjAEVIxV6ZT7SgkFHWuiYCimCiLZrjip+ee9a1vfKsZaTNcsuUWc9pZjUAJCEWEZhCzgy0//Wm7ffP73//ZhRdC4ubbbXfplVdedsml22+zBVkCdDhIwv2yrIJQIUVRFBIclFKTv//dsx+8y2O33X6Tiy4+HQnXXHHPby+9KM4plL3hJhfexHHNV2bAc3SIe0ECBHJ2pzR0dhByoMxI22+35W8vu/Lyy65jgTuBsiE1NqPWgNrCXbEItN2iHZpM22y7yze/cRJkYpT0C1/6zlbbPXSQWZ332Gvvr3z1m0tXrIwTMCVSF0WBPAcBZnUWo1YKTYvOXHXtNa9+/WF3Dwcz9fQ3vvrZU844adpp1J8/CnjNQS854pPvsSI+YNEjcn/hWb88hxek5aPFUyguufneO2Zmkq/43a3X/eJn55FzPXLBBCwKiyrUwYjqMcQKxPB6hwduccGlZ6OuL7r02ouuu8l68yzxY3Z+yBtft/9Bhxw4Day9/uannXw2JSWYkHEomnpcn7m9WgJxk+EOg40fPYO0WqCqqiihjd1niaDwjGfsfeKJ373qqqsINHuxtaqDb7zp+mc842kIvGjRli947nOXLb3Xck0iInzTLTduudVWTPDsp//4x6987b7F3EmH3nbjjY9+9KOwAPM3nDjk0INuufUOogAzEFasmFm5ol64YIMovSsvuT7VadttNivEYshQa+ubikRkAlVqhRubIzCYDHnmYx//yLOe9Yx3vvOdb3vb28x9l823ufj8X9983Q1OlKAOslEuTeChqqqR2TDC5/bW23wTCH/7xBNHw1RUgQqCMOCAB+TLLvzVCV/+yvTyxStWLt586y2k6j9g023OPOfnSIiOisEAS2hyUlB2BzMaFfceSwF2z2iLJHlIqI//wude8MxnLV18DwCHwBkOMoGUmXl6NNjrKU/57re/ddtdv7MSYEbO2XTLLbeUKNlAwjFGEmSDAsysNm7fgqxoIsVJK8OCueWTHv6g35x1BnKN7CaVB2y41VbEoQSkaTgnEwXAPO6TwVSaRUapmh79hIcd/uH35pwJE66ToN6WW25+2aU/Q/JLLrnm8qsunzNnznBqugwRdVMLILzFAzb67le/YSn/8Kwzjvv6l4uiKA2giUC9CekHYHoE0MRGD9js+uuvN8uACRMXAZWNeIoLFa+33377r3/9681wyIxPfvKTixYtUsvETkQUQERmBhmXYzcYRSgcYQIOKlAr1KFGkAK5/tTRH33JS1907+J7CTADkYGjaQqUXYcQgNArYFnnzJvc5xUvfM9/vKMXcNGFN1569VWxDKvSKc0wWwEeRBRLDOqRuT/2sY/fZ5/nLlq0Y13jnW9/+2abbRYkJE0CSapuBOY5c+ZtueXWaJof/OAHIYTRCP1+P6UMQdM0zLzVVludcMIJzjj22GOuuubqmWGbk8KRgpsRANUYYwhBHSef/evalWM0bfpVIQxmCGiLDTY85cRv5ZlBCOFDH/nYZtvtkABwdkIIwRVMY4+pWWa3lAAAMW6/w3Y33HhdILQ/BbBJIgDJfQTBqJ4KkkqCNfO/+fVTHvGoRVtuO/nzX5/rKC65+Lprrrpy3TnldRf99qZrbkjA9y/49dIqoCc0nPqPA17725/95Oe/+mmt8OwBIeTcQ85tmSxCPRprMuKkaXj6j8+6d8ntpumcs09mgQgIiBQnUEU4MEKwlaoI1cte9rIvHPcpqmcCmKnvLLGHhz1yp6ootQkIoMg5N1nNASLnIGrqanCDZXZEAptGIiast+6G3/rWN8GKVqYCHPzd//H231x40aMf/fi1F84J4ptuuukZp59jSUMAFAURYDkPrCBjjBJImL1NgwQ5ixRgcZbM3IxqAA4PLAC2227r31x22eWXX84MhTMxM6u1dYjMTI/+9Bff9KZDAwGme+7x9Oc//wXbbL11tvSed79ny822lrbAk8IRiAIw+l8UHP/4HHzKG/c7/cD9Tj/wsO+9fZkvs6zunjybq6u7ubuqm1pbhFz9n51s5p7GR2Zq3ph78qm7lr/g2f++fGbk5n7n4JkPfPzUkunF7iNf3ujKwWhq2522R6CXvWy/tx7yvuW31stuXbLFegsW9vi0H5990LuOXJz9g0e8f35AxAKW8sWvffn1d97zwhcd6FPuM7cf+5HX/OSsTy++9/r5a6/HNA+Y25tY/zdXX7vSdeRNch+NRt7M+PSdR73/bWUZIZMP3/2pI9c636O29PAPv//jnzo2uWf3I45+61nnfueUk775o5O/c+IPTzzi88f+5OILEBEZIfDJZ56T1X3likdutsnaYV5VbHL3cp/SmQ98/K0oEMLcMmyw76sPyTrKOuPeuGsaTruNlvzu2k3X6S2IgGwcJ9e9/NqLf3DqVyBAKKXaaPESn1rp7m4+Sj6TfJR9dNmlvy0ZkwRQeOlBb5pxr0fTr33xcyuABB899lODYX7j/m9tliSbaU754ckTca2pO/z1Lz3wtstu95G7rch+d7Lh617zNp9yn5pacc8Nz3nuMw7/xJd/c/2yFdnNR8vuvubfX/Dsq++66+DDP36X+5Q1L37pS77w9R8e9sHPrnR3X+HDKz/1ybd85HOfeO/nPr/MfeTDnJsDDzzwssuuyMndvKlds5t7sqH59AcOf+vZ53zHdanbSp9eusvWm68LLJi/yU0rfcr9Ix94w6/OPX6U73nHxz7w8CfvOlM3J3/nFEEPDK5w9TWXLLv73r2feXBukustRx912A9PP2mF+4x78uzeZJ1xH53+g29NAJNUopi7y15PXdHc9ImPv68EB5p8wpOfea/moatl9+yN+chzY8vz4I5HLtoyACFMvnz/N4+ynn7qt+cAEXjE7nvc6Trtdtetdzx4m11uu3PJtDcjX2mjJfu+4MU9zBfgibvvtqzJ1992x4brrjdBPaHJK2+4feSea3/Yoodfe/mNyX3ah9mTJx9p3bRfYlvm6cZPfORQAsAT4Or0M075wXe/uPeejxnV01OaX7jffi/a/7W2Ml91wUUVwEX5sF13nfbhkUe85Rc/+rxP3XjPkjuf/Yp9b6+b75363YmIdSp863PHffTrx11x54qn/fvBK6Zr998d9fFXn3H65+687YbNH7Cl0CS4iBO9a66/xNLKBy3aucDCIpT7vPpVQ/cVzdBck+tMGrq6TzcP3HoH9Ev0hKviJ6f8yFeuXLTtVqjAQY4+6iuuXquNcnJzz+6qqRkd8LpDmplk0ytP+8431ptY756b/YFbbT3BEssC8yd/N5wZDvLDN915ISaBsr/BAxavnHFzM5uxOntySz5zxw9/+I0fnvvjadPbb7n5IdtsNnXHjdtvvmksJiCTmLvu7StWmNY7bbVpwUAZuJy4/OrrVN3NR4Pa2h9MnbG87IMffIcUAIVjjvmSzrhP1Q/fYOOJMLlgwUZ3r0yD2l73ypf97opfut7z89+e86KDD1zi/s4jj0ZRvWT/Vx557Mcuv/qaxXev2GKjXskAJsO8LS+85u6h+7333LTeenOKifLfHv9oz4OjP/CeCVAMPZTFqw7et05Lv/Odr1VlBMKHjz72HrefX3/NC/Z7dXJvZupDXnPQTVff3Iy0brK5qje1DbNPfejwt/SBCcwHrfPqg9+ycjR48A7bTgKBcMTRnxi6J/OmyaozpsnNPQ0vu+S8yT4Cwjza8KZLf+d5uetdO2y9ecDkWvM3X7JiZuB5WvNI61Gtmty1ufee69ffoAcCZPLU036aTd2nP/7R/4gMAp9+xrm1emNae2o8Z9fcJB81Z337G/OBdfr46lc//ZFjPn3t4uZpLzpgUJvVt3/6iH3POfOUGc8v2G9fisWnP/Kptx70riXLbMp8ZZ7O3jReu9/rzeWfOfJVoQSqdR/4xGdO53vNr/rox15/2plnLZv2Ort57T743re+2mcw84eP/uwS89pHMzPXPemBTx7dndN0dtfvfP8bYHAEwLs9aU+rB3lw15WXnQcCpHj5aw+eMvfktfnAh+73+ujWq6/6GaqA/vqMtX9z+tme71k5uGHnRz0ImL/WxJbDxeb1spm7bt14vfUQqh2esPe0e1qWnvrQXdLyGwd56UbbbPexT37BmrTV5huCgTgHRf/755z5y2sueeF++9XuOdtBr3zx4qsvPP97X10YIAA4PGr3Z90z9IF78sazu49G6a6Z4eJDD3lDvdR84J898sOf+djh3z3hRKI5VM2H4KOf+rCrnfKd0+ejL+ghzn3loW9aqXXyJludTd2yp1GeWrrd9lsiCqoKMfzo1JPdR4d/8K1VABCLiU0WL8/1aGrZHTdstclmF19649A92wpdefPDt9u4Fwtw74WvfeuMz7zvQwdVAfPL9Qlrvfq1B83k6aQjTdlNPc+kZub22256wIZzJwqgXE/mrn35NZeedPLXwUCouLfBHctsZe3mOqqnzJtstXlKeXDSSSe8dL8Dp5sm58ZdUx58+OPvRQAYZ55xfhq5qie32rzOblndp/5OKuT/C3M3d3XLph/46oeX+D0jn3FXVR/LNFd3Ndfsbuq33nDL72646dZbb77lrlvuuOOOu+66a/HixUuWLKGDT3ljHWsA82bmvu2Zb56nc0k4QwVEbblQMgPBiQl/Zpvwf2jMnceV8MnciND2uWgyqpAIwUAjoFbMk+WMOZh2lEBUgADRJIjIgMDqAfeiu9TCCeiZhjxEnKwdzlB4aRZMMFiOiSF46vAjjnvYQ5/5+Ec/lhgfOeqI7Xbe4Ym7PWUuZupEZezDDakG84yKlEGBwqaCz1jKb377B97+7sN7k3NEEHRahIhCNmSOBnbkCQQky0gWmYBYCxIjACU0g2MDTKXMhSxoGsQSbYUIVTeFhHHdN0JWaxpfqwiAjoKYeXAqxvXxBU095EDKCFQBKpaJFBaUQ00cAE51EIAwMrCUohAHEoY2qCb6MGAEYoBgASo1YeCjEGkOFIgpYcRxTq1gRiAEJGiC9EdmDXMBBGT3QIRhjX4Jr5eH0mBh6BMkQkD2QWlETsJlShqLAHdFI2yKTACB3IVRIjuygwM4JwRnuDURyznGBpMJoYQHmGsAIwFMDasxFTVzUJU8A6EUyhoMo2CIBBFr8nQhFXIPilxhAFS4N+aK8oQycjHuxRK8jVLByIYVG1lC4yjnzdSOSjg1vZDQJOeqiVUNTMK5cTjnEiOMCKMJBNgkHE6NclEbIqOAIRtCGGYPAdEJI6BAwwmEgMCJLKq6sENoZKMl3JuEz1GSbCh5CB2aM4WJGqLOTG3nGCV3ZUlCQNPDADYAV8DcaQ2RUPoIWoMYVK4MFBApoWDAR+LLYaNjjj5uy+0fvNtez3HiD3/kow962IOe8Pgn+ij3QwBbEmtgATGAGk0iUhghAznlftEAwbRQRs5WSublnCcDCgAakN2jEQMguJsRpzpXhSGPgLkIgDYIoTGtQ1RgroMbgJAjGkJu8pwYnDxDBYx6JHFkxh7mMpgy3BtEdoiPIJFqmIgKEmVGqOq2A4mD2zQaMfWsORexaPsHOaAwNSupQAMocglVZyYO7Y9RE4gM1CBkQMAElGjTUKg2r8IAGszKHJEAMpQ+I8KNc6RoMzPCBCm1iINc9wMLMozVWTnOmIlw2+0hZGsLDebsUhDQdpbJiSnpzIREeOlNyAVWjNL8XuTRiAMjeEYcJS4ZUZDSCo59TxaCgOoGKjpHEsHh1QyoIUx6Ha3ECA5YhBByaCufs6V6KlZBwWoVEzFguQ4xwzK474hNQogALFsTWdgZLsgJYtAZFD1FrzEIIwLQ5cQD+IJpF5aCUu5ZgGBGISUCssAB0maZNHd/+phPbfGgPR62+7N7QIGhYSlhEpjHBjZ1aQzCVAwHo36/mL1GmoiG6sm2J5NLYzE5QF6KBsAcQw/qDqFeSkaxbIA4HHGvcsCGy4uKHVTTnNowj4BmAK4R+1MplsKFw0fIhcYg0FoDFBGJCvesM9yThErAonAk0DA1VBZzhtxe+GrKAQEOkdpWLNn98bv++PQzwlprJ+k95FG7/ejUM9ZfSOxD8p7mGY5GVDSNiIkEQh5ABFSC0ShcmoIZLpopELJjSIgBWUfFuKRrRa6AAZazeuy1TotIlrUJkgBKzYRHAoF1JpDDJrPDIyKm4Qm5AqpRJAciho7lEZOpmcMRyRAkwSxQaanmSK0hvU7TwmmG16kIbMPIah6NSgXUUDAspxgcIAcDcEvCNEIhTtFheciFJhChdA/RAbiZeRBvK8NDgfzP2OFjto2mu/uHv37kvvu8YhL9ElXbGoIAwNrNDMyG226+lWAeyQuKFnkVf8+D+PvR5q05gVZ1ii/GP8YGIAI9gXoBEAIQ3aEORRJJ8BoBIHDVhxlxQ6gLtB3HJtuCf9peW1TDEvrz4RM5x6c97Rm77/akqlxYxP6PTv3+HrvtSgbAi0BNTmqUUSjKsgyE9tctf+aYo+dObPy0pzx53rw5MUANgSaJek024shg9UQOKJA5kBBGjpycEIEA9SWiICdyiVLUtbLAHQ4f1rVIwUGYJTk5lUqVShkEljxwBSsZRZ4thGRuZVkyh0BVk4wg2RSeweaeIlyAEAJgTk7M0i6yAxXiRKnIYFAFcFJGFhiiooxlD9IKIg5xAkBQlIaABCdw3zKCprmoK9QBHBySMacAN8NQTEIXwOf2SCqHZOtTX0QkBJAROcjA2qaAZc2EAJSmsWkAERQBjBQCAQVQSuDYH6FwxOAQKLIaPDvcwRAWgaqhFiGEueA57KEAKvYytNFxXoQ+nAFH26nMmoASHFCABDAI0OTGVD0bAQWXgIACyr6ZFqUAKGLhtSJWFAsBJh2sgBkEUK8QSpS1e2O1EkBiishgoKlrUE6pLoIzVLVB0ZaWdrhSe6VrpvYJjgJX86ABLtpA2M0UEjmUGcYAmxbAyjTMgSgGciKFIGSQogCiu/QE0QBIe3sEhRKRm5lKahYQV8Ba0GLPXZ/09Gc8P5QSY/jx6T961KMfN3KEXjAA1oibgAWuplEiOYOobcjB0ABEFjBQto6mEEKAwhQED0RtnLc1mYQNiGUAM4rSgynGrQ/MLAJF63sUwEEOAXpFIAKBGOxwKSsoOJSeasoAY8RSIzRKEgi1lp4EjSIrAw4yqAKAGZxgUCaKMcKDJ0ZiNziysBpqOEBQQYwUgzV5VAMNVTVK8li5FhhFpGBKhlY5SiCHgMHBoAhoGy4UZm2OAXMoUPQhMSnKUDII2cEMFidUwgEI8OgWAntuzJwCNdq6D4koOLiUiawwcxMwYW4vEsBlBWH3bN5UsfXbIsboyMTsFhovgB7EUQAFFGLowyMVAKA+ZLAaCFa30RLOsajMlAHmNkIBwtGSgrktwxACNCkDJQvBc85t4D+4RJz0bFpP99gKAO6ZSqd5cOpJYZqrGNqf5ThOGXACck4iBU2ug2JuDD12lDVgzpin6NWNEgHBnKwG14BUVUrJm2HpFoybtlVjCQTUdc3wbIkpOACBQgER6uWUYxQzDYCURkiWtKjmwyaJ5hDQ46yYRnT4BLTstfkNBKpMo2TAzcTqwqYLDBBhvYlpxAbMBmrATMxclAHZKSEaAriUQG0zv6bhOfP3eckr11l/k7n9OQXTK1/8wnUXEDKIAjhL0SPrIXMRSCpHAKq+UQEB3AvPJYqcKLkhWrYkEb0AS1ZJ0YZDqClIoKapCbGIIMogV7UED3CBWhCyjKxwsnFsK2ZzN0yQCYEiIIomp4BeMnCBrIgCAny2BzecmjqpehEnSCohZEXkCA9MrGoEOJAVMURqWw2CqQ1BcAIaJmhGW3HaVc0kENwNnDmIju9ohnFR7jWXNc7y5+6g8e0Ps83j2zcUnsgDB66Vg4DQMMRABCckZIFFOBpGiE5wNEyKnGuOxFUwcI1cwQAmA5oAgTHMIeponFgbCVIRQ00zQ4l71rTtFsVbA5xlcHLEAPaavYGZSaUo2SEEKNRhAe7uZNmt4sgpkzIKVsbI6opEkiMiaR15Um0EaZh6oyRFZMBUR1EqAsNVNbFEVeJA5nXSqgpwTQyHtK2siABLapZjGQxscAFL24GR3R1MwSwJUbZEEhxCzmwMhXJGcIda1lJipoIAhyWrAwdTYaUYoHlAEpzK2S5UrZGwMFUuHdCsxghM0d2MGmGBRxs5E6HAsK57VQmzTAogcMw5BxYQ5VxLCERkbRIexM2IiEDtP0Bkhqw5BHDb29O1aZqJcoIMICgapRw8cC6aOIyIlAMYTTIp4K5MzsQGIohnZSEA5jBmQYJzblxCcGnDxlMlEUDWTALNdSQmsEswkgFQuUVXt6wcAkdkwBRBnKDmIp6RCAyINlYWaBKpM8h7kQGr61SUZcqp4AhA1Tga4G5EHkhSXYOKKATkoUg0DRAQWU4zUYKRNDAAJVWkUDFTCxzM4QxA2WrmtotLVRuiwPIwBoYLjFVYvAHVTWKJE9IAOo2iceFBoirOAXjUdo0CSgc8G1km1pzLUDZ1jmUks3G/Nk/OBLA4uRMYoJQTAkUSGGnOuQhl+yxsDmKowvKwKESNiCO39xXhYW5CKCLaLitwxiDVVSzH8k3INEdue2MzwFAzVS6igl3BBhaArcEoQgiSasQiqEMYqi5Cw3pUlJXmupDZKcGMeZjrfijFgAwvoPCUhxIKRXBHbjBRgtEQUho1MUyaBo5k3vYeSjR+jo8ztfXKAKuJiKioR01VFgCGw1z0gwOCTEkRpDZkSBCCgT1Hac0F7hQNaAUwAZobDYVbUzK7UzZ3djIKElzhliU2gAyaUBaSR1pWOaNxLSMXSphuhpNFEFDOZiAO0ZOGgNqHxFERAkQwY1pGBG0gVXaaVrDZHGlbdCPDhhQKUyaJrUU/5xwC4KZGpiEU5A43FXFA4exZjQUiBo/uycwQCmmb25qUbA7ymgAhdm2gAyqiot9Q0VOoNxQSo3BEAxqtWZhAMGGm8VNrhnum0N4agjlYDBgCIdXCMZhnpkY4qkLdOLBAyBlkTT2IZUEoBgPEiBDNMGQQMlEilyoHOEBmUdIMFVVue0zVHqBgGAtLQlagsCDaJupMSdHPGgKZwTPElEoBwaBDEMEiQhyN6hhFRNr2vWqedaaMPTchc4Ts5Ku+F2QOUjjD2QnGaGwoHFklMIGQdMRCcGEEIqRUx8gA5aGHMjojeR29JE6AWS6UiRiEmuGkFQhJVUJDzqSFMWVPhUSnJqNWD6HtEQykNChCqdklBLPEElNKIUqto4x+TyA5AQYRI1GQA6lu+mWRmqYoCgfqpi5jIKKEhr1gY3I4N8TkkJS8CALAPIPJIJ4RaOyG+qejs/z9lbQ+zvv+9PGrAFhEWBrPXoqzp9RIygLAAG8CMrnBS0hskmVquO0R5qHgqpUVaB9ichNQe0rwCBIEjFI2mkOYiEUgybM9JSWgMS5r5aSWcw3PgLEOq4CkyagAz/EwL5kEgniGKtyJwYTIJJb6LIasnFEoMsRQcUmUUazIOuQwqQyEQlE0DmI2IGkdpbC20IiaSCDnQMxGkjkGAGAW16a1KBJAjhikLEpyOBI8mTZwhsbs3ibJAFA3kcLQ9pl0Yji7hOBwc40B5rkG6twEpB4zIUDYCwIgMTADqJVgBoQKHJBGXLiDZ4xJeswRlkksMQ/cFcaRPKIhSK8cWxo5EMe6yUGCg1wRpMxJNDO1vyGAUyZqki2HTAM5pdEQ7kVwBIwA1YIQy4na4Qmok1BDyGoAAU4OysiAx8DiHBCZglpuM86ys5M6hszmIwfE3WMZIJ41k1sZYpMaAAwShCglOBpHkIzqJlomd7BQKAPHeti02RCjlIwgDAKzizoAL4sAeAi5V2gVyBW5obIoLaNo9WV2iaya1TXZkKRGymUZrc11CCUQmFuvpcVYZWWiIlDFxKYKg5hJym0LXc8ILmwFRgyqCDC2BGsCDwGnoM5sALE7QoSbIgDlJHgOoezFnps7UBICgLatrjqcBVyEikFVETFOtTbLiYzEhYhqVwjMVLOEGJVcYTAvgqimRmuFMWM4GAVBLHtGwiJuKWsmYTerQgzwNpsLbHAthQXGDBHynKMENXMpRjXlbGgzj13FLJi7oCGMwIQSEFWPBXuThGGWmU3dirIyQELp3nieBtVuOTVehtIBRY1ihhTj2ilABRQZc4rWCsFp1MSi3/afTQRnI09kMae2Z4ROlkEA4UiImi1GUUvZtdcLrCBDbaM2a7mQUAgFILhHIjjUs8KzNtwmVDvMjIK4oeSifRY2yoE8CsiQFRxD64GoApmhqMQUMBNic0AxWfSanBweAgeOYohBiDwyBaCE6Lj5qphBCgAgBEEpTObj/HsKVRoqc7SMooQpQghNk9scnFhQSiCCsAABEDOlwCJiagHi2aKEUrhJjTNCwQwEQuA200tJSirnA32mEIGskFCwiw5myHNSuJRALICCstXDDCSHAiQBaQTyxpIJDASLyIhFAIMkMFduzswSSnfRbEhNTlwUBdmoyanot7bMmp3dKkVETyjWbb9mDmw6rNAIFLUjlAOUQ0SC0CgXrhW0sVHbC15C3yFZyHPNFIQpRDgBliAlPKqwMsp+68R0T0M1daGyKAExByLVbRIHwIBl1KkB8ageJ+6QWUHibSUAAzIiC2PcQhdt2RfADKGMMKSmAbWGNIExkQcGAGs9JQzPiEHcGVy2HuEiCAyWmNBnKgEEQEd1ESozkxgaTe0TT4zRHFH6hYABsCAbAHIjGMGrsqhHoyIW7miaXBUlkaQ6M5xJ1TMErgUchLqIZIaUkawmjAQpjL0LXbbvmkQr9n7/sAl+X8UfIa6RlDyWQZgdYAY7BxSBqnqU4Yhl2yUSyAIp3WFAowqBK8oYYBZDBUDNG4CLidQamt1MczsPJkQYtyEsIiGWrgAxxxKwQiS0QUOOQoLNdj5ydxK4OnkKLK4NwUkCKILhCjG4CtCn0Etw8TbxrSooFm0coASHEwkICJJSAyIQNINCASBngxOFPiCENuJEs2a033wUQmWQQusMhlApHHNi4cgsGU4oBEIkDmeh3LhYKNv8T44E9EKACbIQxsGXIAfESRqGw1gMDlXTXqWuAPdbAxgACSmnCC4oGHHDamJCOSKnugFJW3ArFMFbEckwQ4wQaYvVCwCmwpyilAQ28hhlQpwdTkARkMaOTHJQBKI4jMEiAoJQ4RAOBFbiDGvduywcQGoABQKIKMARI+WkxMFhgBXCAQ7XoggAWCSNRkSBOBBznbUqi4pZWGpFBqt6WRZweACX0Vu7tTlTIGdPuS1YxCTuiWDECJEAMMENIJBkIAcpmMoi9BQZEtydZfxcmLK2gpjJc8ohlNre+UDCBEOyhquiThYYsc3flYCydIMBJTHDIiQitiGURKZKhh4QA5sRRgpDzFkZxCTiEEO0upTEYgjRncb1ZxyWEjmIxZi5iMRtVVoXYUNm0kBj82PbgTk1tQgktK1+0e9VABq1DAIg7CEEM2NidmK3nGoSpJTg3nb1bZ8GQwi5UZGoQFVIkJCzuRRN+/sQSBhkuYQxaEazSnQDcQQMrkTONA7vA0AkFCu4SAhFQQpkwJkdAoebBXAEPGsQkMObzOBQTYIFRE7gtucBFAbiKkPMre3K5mAHBWERcXGwN7mVRxbYECMx52xoXAzire8mg8mJggTPSq3xhCkBoT2nag4NHBgOyyDEiLbROSwzGzGygyUG6jFz+/wphl7oNymZgQFyWNNqgUCNiaOKUA8E4jZGDgHeUwNgrdnBNMBjrPoA1LIARDBDUVTw1jZhBG0f0R1IHkyiE7t7JCEHhQA101SEaK2vF+aW2+gWIVY1IBqK7MxwiUgGRSG9SaiWArQ2sATUWhQljX3rbYpplQEJFABPDiogEQAy2NAoKwcjYiCCAwiFS2xvL5MSYgMkR5Aeec/BHlrbr5u14h8cmCFgQUnqBozjZyABVppTDAUIYANTMg8AFRUInjMjEeVE4hw0RhfKqBvNHIM6URFFSNoz6C4Cc4RYgFhYcjYRFGXpQNkr6zQyU2YIcQOV+26HlHOuih5ajUTB2ioZBgCtyS0EwBkkRE6wZEOHOBjjyD0QYhstSASowSEhAKLjm7CFWCI5OzsgIYK4lWRu5AoGNGcYIZYYl0fIQHZoVVUA3FAWwR2WPRaFIAEuIWhrqnc0MyM4iEERIZQEuKVx3NeaZ/xanTX34Gd/KcbQOIajfTSSBPPWKcy1WU0Intkzyiog5IzawGoBXAHsBIbFQO2DLdoe9WpwEJMjtDYjdTAFltBKOiIQjBwRyGYJsBiM2IkdTp7hGarkIBgTOwskUGBzE8mAQTOLE0wRnNrCbXBvm0j2HaJYDgNlkLUNHUCwdkPiNooRXBRKUAYKKAFILO18GR7UjGCOUQgZZELiBleQQwoZt0d3SJjtAI7YyqZ29ZwQIzGxmxPEgYgRwWABFBiIyIIENyCMEAzRkIAaaYQYZgBwiZQpQwBXOCGGUuDBFYCzOEwwJB3GGMantb2dKSSA2DgkpwaUg4zLj+QEQqFaAf0RFSAg11HVCCMGyhLZg6WSoQYnI5SMSGOv8dh3DDho9hfMoUpCBGQi13b1VNswqazZgOwZsHFJEQBQALGsAKQMdcQg5kCysWwBhMePJe2TQ+NGzCDSbJElhhKmbIC3ZQuonYl7Q5JIDJRZTJHcmZ3c2wAwEKgt75vMYpAQYaogCqEA2styFkYKMgKkYACt/jYgEzS0Tm4U5oUjOFO79FSziFMgFGbJySgiE0KIsDxOjADIMrwBkhtm3VQEyxykbbqk7XMakedsQNvytg09SQoicZibxaJwqMEM6uP6JR5avy3Ghv22qFMblxdidFiIQuRwI559+ncPMbZHBwCNBi5G4JriiEkdcIukpCNBwxJqANLeBY0lupOaMoxZHQkQpAALMAISYUCogeheQcDEUYkUHMjdoF5IIIUhNgiJIQyBqSclgYGFDMwks4+PIGpPtAKqsNjWb4ImjACoegwchcYHY5mFFKZwhzLL7JVC3l5nBoCY2KDjhTdH+3slAubx8wEAZ1hh2WmVu8xRxD5zGF8vhcAdSiy9NupLKKolUEJQOOAiXALqGBEBTvC2EkwqiuAOInDb6YvEzOAaI5l6G3VNBIMouI3agCpUQcws7u5tza62nS2RNhnMIkVWtHqa4WbujETsFECBPPWRCyJQQKgANhtbRiFoOCS4QeFZiAE4MciEwQ4RJHhutWkDsKgnYBomyOMcJJldVGYjJEMGKkb725Acmj04AQFMownMVBhAxyutVJg5YC7eQCNLMGRwyhYEjMbRuITh+PfBAnIhUECFMoIhEzILg6n9XjPgMIVz4Dx7G0w5lbESEVNtddz4S65tS7eAsWOsvZoY4NZSDcBab0t7KyUCtODQZmC4OxgwZ2IACe0tZWwbNJ9VHg6YgwUs478I7fc1cNv0ytqz2bqnTTPBHSYgm62W2t5MeXzB195ev4yUGpAV1Twoz7pK2TwwCzjlNb3G85oX89fR0dHR0dHR8c9IF/PX0dHR0dHR0dHxF9OJv46Ojo6Ojo6ONYhO/HV0dHR0dHR0rEF04q+jo6Ojo6OjYw2iE38dHR0dHR0dHWsQnfjr6Ojo6Ojo6FiD6MRfR0dHR0dHR8caRCf+Ov4C3H1cSrfj70p3Fjo6Ojo6/mo68dfxl3G/5sgdfxe6s9DR0dHR8VfTib+Ov4B/Bs3xF/XqXqMbe3d0dHR0rJl04q/jX48/U9J1yq+jo6OjY02kE3+/xz9vTNsfnfY/6bH8Lfgfhd3fWPmtwUvd0dHR0fFPxhon/v4befff3L99lv+f/f/5g/6le2i3v9+n/vfkyJ+zGn+ryfzVcvx+H/zzz+BfN9Yfjrj6W//N9n/+lP5XD6Gjo6OjY80h/L0n8Pdh1R30fkFs93v9v5eDf9H+/9J79p/a/q/e4Z+5/z/FHx3X3f+bKMBV767SOkT0P477R3fYfurPiThcbf//wxn8g+3/3GngD1Zj9XX479fkj4775xzdHy77n78mHR0dHR0dq7OGir9V/CkV+N9s/xfdbv/mdpq/l+Hnfgf+P67D6gLlLzVk/qmB/nA/99vyr9j/XzQx/DEJ+0etfX/FEH/Op/7qyXd0dHR0dKxiTRF/9/nLvGEmOINi41CGABEJnsiFOMIIcLdkxEqsiavg5NMgh0u2EiEAYEqMBAAoHNEAR2IkzgwSUMwMhxuM4AyQm0BgDCcQjGHkQIZHaYyCOaVMRBCoBinMwMwwQBWsEHYDIZiCA0AZ7kA0AzMURtRKEAEMMMABBgS5cSkSEAwMddEMIsSQCQACGhoGZEaotZcEPQcIAoMDOo4KcFElUwAIQiQAXN1BzCuQSkhlDDPAwOwQcjAYWiOagpUigSMAz8gBgsxThlFESTaBLOOJSz2CGwoGRUAUsGQxBE+g5G6ZKkOEoZw9qzUhIUd4dGct2uV0gARDJEBKsCSHZOVGAUGJHFhgxOxK1JCXABtgDAIYiZxB4oBCGcoW21OmbIrpaPOckKBCCG4wEAjkmaAQgAMg7eRgCgRCtoZYGOzZWSQbSNqz5QIitPGHbtBM5iCBCBjIAFwDHC4wUoNGipQJDJA5OUFGQGWAG0QbSARTAghNgAKVgcwRco0cECWHNeYb39HR0dHxJ1lTYv6IqDWZsBTWKAA4QHCHu5M7SEDBlEFkScnBBILHCDMDVVC2hBACAHO0agUgwBzJoQADERLAAjg7CCRgBjGcW4MNtXfuVmeMXyAiwIlY3Q0uHAEw89iixICwwR0MBwcA6qYgalLD7V6cARC81RE0HgGAgo3co4MxHpLa+TlUHUBAIHCyHAShfXtszfLxPsaWJgKYZ4+ZSMCiIEEkGCiBDAhwAQHkYAMHoASiIwMJMGuo/bygcq8UhUMRxjt1D4RI8FnTlgPBVQG4G0igHoCiPVRGwwSgAEpVNoCBAsQgQBUBkcDZGoQMN0bJmEiZJCCrATAQNK5+jN5mgbi1/3JgLOQIznAYo2QG1AujADLihk0FSh6cS/PSIUCGJ7gCBLg7c4AD7iwCQKS9flado/FIREII92WieBhfNdyuSPvccN/qMMjbvwggNTcAZoAr2Kk9JgI4AyBEBq8asKOjo6NjTWZNEX8tRARnLvqAqGYhFIRIWS25wVzUAIAlgtlMHa7tPVsJ1OfYSyk5QAS4wCMQAdDY2MbwqMRG7gQCxCBOwUFmrafQCDZWN05uDKhC4SCo5khRUBBJzhmAJoUDRA5PcDABMEvuSsyAFwWrqTuYWyXhgBIMCO4CwKFgB8YywQgOCRACqACX5Ab2SCiEgsBKA8Mc6sQOBrVGR3NiIAAMdzJvzV0GyqAAkvHiAkROcHLnBFJTA9gc7XGrg6Nkm1ZLqiHQHKAEc7ZpUAIcLgJhMCM5UrvDKAHERJEgUQJld3OHN/BWnxXt2FnBGLXqlsDj82GRAU0gcQ+NIQYBEIOp10wMDiADGcGBbFCHgwjIjuwgbmUpZUNNIELpADuIGM7ZzSkmsFMYG0oN8FaD21jfkxCEHASylKzdb3sBQOHqag64kxMAdqjDvb2gjNGKPhghBRDAxDBztwwYgQTQnEHKxORMMEQHOzkIcHKwOlwQCNwKwY6Ojo6ONZw1SPy1lr+cHICrkQSCaxowsgiIyBkUMRy15jxjZgZnby0xAQaAJcSxqYgACLy9xbNABARHAiu4tR0RgRxQJxuHhbXiDwQiJ7LWmCaR4cYUGIEcZnBi9RyiIGeQJWQHGQgOFqhru7OUGxE395xbg58RZu/urUmILAPK7tIqEzawo1UnCZSpVYwW2QVm1DihJhicHORs4AxYawNkUGjNiz42VjlQoBFnR+GIznBWIDvETIzJYaAsEEJ04lHSEKKIiLRCFgZIKJXcaax94qzbNDMpI+cMMDLgkrNRIA7kakERgQC4GfIAhXtr62pd8ZSBGsgMBlXIQgRmqClgqi5Umpvm7GDAiGpHo9Cx/RSusNbUCgMoOTIAaV32QoDDPYKDG1lmkBN7IGc4IYAKkADkpqZuxhBtMsfIBCYkrQ26WuqutTY9Agg6PoM2XmeHA+rI7k1KyR3MRBwAwFuTp4MMQBhP19yJHeKrdkNr0Pe8o6Ojo+N/Yo27KYRIbkAIzHD3MgqgloaN5dY3GYr2ft8G0XFkMWv9kt7en1Ne5QhtdSERBGBvbS3wDLLWxTabTNIaB92d77sft2+aOxwAi5G4wROYECQYGGSQVj9yAzW0n7EgUc3MKYbYpIaFQuBVMhRgOFrt1nqaHVCgVQPipIDBHBlQZzStXPQAAzgBuppvsHVqezsyOcgBGMaTBgHsmXw2RJAUqMejMUsIjhxgAlFjBagU98KdUm41mhkoQUCFAyCwO3trM2MHEiNIgBE4ggJCGMHVjVnESRQCGBPKCHKHswMMT8qsASn5EAgwhpIbArK0J2Ac+GYSMXafIhm0DVpsQzQBslZ3jf2wDARyZIcznMngBBGEkgoCKVFDaGa1G/lY2wYWZoaTxMKTwd1NC4loPf3MJCBmZozjAtpAAKzytoNhhExwEMUo7ctu1g5DBBEBxCwRZWaYM4gwa/40CFqjsWPNifHt6Ojo6PhvWOPEXyvDQGgSyBkONDXHEEVGjgSQAGzIChPNSKkNo0vgBGvcEUMbKQh4q6PEbZXyy60x0GiVhjKIg4MTs4PdZewWZAMImRkK1JDGnAkiQAMzgFhVQYacABCK5AAj5QQwUwkPDsRYrDow93YEuq+AsbOMg/TABkpEagx1NG24YwP3ApkAYqSMgsZStTVSghWsbfKIQlqHNxlInZ3hAoW3OqZNDmnVJwxmgALNKBOIkIRycgwANwJRDALUwm02DGfDrLTFrNiysfUyt5kXMuU+AAgk7m1YXvsphsIz4Ek1EdqMiXZBCqrUMwyIYG41bBvtlxqtmQB39VVRdjSO4zSCiUPGnnRXWACq8eTI4UbmTAzClNYzsJFDgMJQGICxHx9wmMMNWdUMDERGm3njRM6+6oihq6UMB26/leO1BLsQPENHqB1qCTAQBQcMSmQ5ZzVnBrR2U+Jg91WwpjYyAegcvh0dHR0dY9Yg8Tcu1YFEYgCCgAloEpi8GdZWM8GA2hTIgLkiCCRAFbAMG4GUCCkh62xKgI8j+MjhaMB1hEorMwhOCsqAG8Pbm7mBDOyrjH8OYGR+0dXX7HvwocM6w/Cjk35UlfOuv+VWCMEGK5fd84J/f8GwqZngjhjK0ajZbvudXn/oYXUNgB0JPps86pGcfJy7YHDKHlsn4Ky7NpEPBIlAo5QBHXpTmzsBVZXUHbF1wbK3kw0OIm0TlgGokicxp8yeo2V49HFwGtDmcgAOzXA1VGUfdUIeXHb5ha899E1LM9ShipzBiIpkGO23/yuuv+bKceIKyMFt8KIgMTIEKnTBZVcc9MY3E1C2K5uSCyzCAUqK6eGbXve663938zLAIhDEFE3yfV7+siftsbsHAMiNBheh0DQNCYvw4Ye//9zTTiEHiFvxxojsABOc2qujPX3QSErwcQSjECOpjuoGZqH81bVXvvbQQ9pTTQmsyEA99oubzqw49PUHXn/z9SubrK1BT7l1+GdIAsyzuzqSj89i2a6jkytloM1M4SOOPvL0n/54pIPW36vWqlpW9RBIWAEzgplrzg4Fud1ne7bZXJb/xe9XR0dHR8c/C2uQ+GtRrxW5raACA0JEbo762Mf6c+bNrWjh+ussX3kvrD77xz8uyjKE+QvX2nQwGNx9z+IHbLxhLCY40NrrLhgMZqgtpLLKjzaO4VNyF1irXzJphiWy3KZrtDFdPs6FJXcHORKYRgjKMVYB2Z78tCcPplc8YONNaiREG81MTRa9XujlBu4weCji5Zdd9tEjjyiLaG6AOkbtjZ0M7gDVREMgw2WKkAgKU0YOcMpkQ8LoOyf9YGLe/CrENx/4mig+UKgheqGITgA1oARAIWYBpmQZls1pRFKDc5sp3XibY+IAQQWJvLV4ioOYAAWQkUYAZszqAOLEDBHOmcVDgFWhjjIieJsMkX3sziWMog8So2Y4i2d3hQJgRRVrhgKhTaLJ2TU1uW4D/UZmJFzG8itf+sapZ5wzciAgiJLX0CYWVUaoTYsCkYZwN3dFCRSzhW1gcAKkNTC2p2ws2RsHkhuEpSqzW4Ia0GRVms0fH59hb+3DYhrJp4YDL8LQ4BnIhAaBYBjn47gbuQNZgGxkBocaDRxN63bOCGYGykFmIzCJHKwwFsl5BpgG7IQTvt+fWNCr4meO+4SBWi3JUMB9HEjZ0dHR0dGxxoi/1Ys5u7s5uHWHuoLQ65dXXPHbuwbT73nPe0444YSrrrrqQx/6wNSKFalefu/SW+bN66+z9nq33XbbR454549PP3HZsjsm5xREgLWpoCDOWWfURp/85FHMZRXDT889Q+vpH55ycpzoF7F63QH7OfzXv7n4Y5845oE7P7yQ3gGv2U8oaINXv+ZVc4riiY96NHpVk/PpP/ze2r056y/cbHqgjeZPHHXkVlvsdMLxJ8wt5s2dmHv2T84ejoaLFm1fFMWxx36xPS7H6MiPva/qCUv/2GO+Qozjjjvi6yccVxRVWRSn/vqKQTIGMmNa4EGhU1dd8MvjPv/Fu5fPjAYrwnDq9B+frAG/u3uw2bqbx6L/hCc+djRayqh/eNJJvTBRVZOf+/SxqGdef8Brr7jm2iH4kptveNm+r0orZp7zb7se88WvFP0Fk3PXvuKyywj1aT/8lnCv4IljPnm8GaDTh77mZfP6Gz78YY/2UA4AJiOCGZjgymwumi6/6BdVwWXVu+q6u267a/Ts570yJ0cz/fmj3//9s898xX77/dvDH/GVz3x2Xq9fTE789porcuugbeW7EAJLVVx88cWbLVhnct1NLr/6GvP6JS9/QX+y/4r9Dm2slYyDT3z03f2yx1z2eut8+rNfEUqL775qs43XDkU89/wLh0OwwRW1JqdMNlp85+/e+Y7/fPV+r+v1yifv+nj4SOEnnvTdYqKiQg448ADPftBr9t19l4d+44tfCv2Jcq35l914vTIYiK2LnBm5zml4yZWXzl84b8H661971fVYMXrqY/b4wmdPmOzPnbP2Wlddew15Ou3HJwcpmOizn/l6Y7jsyosmepOFTMxdsPCia2+pTRhcMQH5vUe+f7enPDPbuNSLeVvZb/qiiy/8/Je+uWL5YGZ68ec/f/RFl11RZ7ADVhPcIPlv3M24o6Ojo+OflTVF/K3CwEIBMLPWBWtIdb9fqWrgwsy32GKrtdde+6677rrrrtskgICs4DYfmMxpZBgKtWF5sAaeDfAYcPoZp1522SWNW5NGT3jEg1jrL375+LuXTQ/SyNLMuef+WCb7b3j7f37jOz8YTk9ff9lFgyX3HnnEpx76sAcva5ozfvWbqemZEHiPvfdasmTFDtvtmJORhAMOPuD2269+xYtePrV0RWpW7rbbE2KUK6689KQffr8sy6aBMF16xQU33XLl9My9boPPfvazF1306yatOP5rn54Z3Hbhhb/88pe+0Q8sjVkGAW4NvDn/7DNfd8BBoSiJ/ZCDX3viD09cDuzxnGefdtY5o2Z41jln9Cq/4Dc/+fhRR6wczKR6er/XvAqUgnCIVQ2aSharSSRZfsfymZRWziz78pe/fP55504vvednPz3P0jDZ6Kqrrr3h+ls/8dEjH7rLzivSknPPPU8NArhxynV2ZUGQAC+GU4Ofnn1mXd994W/P//gnPiZFFWSBcJ8oNTO3s8gxn/70Ly684GX77buyGSybntpuu0VqmfO4KiFcs6Yly1f89Nzzbl98z3FfOv68n/+MiL72pa/99FcXTsxZSAWS2ZVXXHT9dVcMRkvvWrx072e+YN/99lVrvvLFY2664eLfXnLxl47/ZgxAAhFCKYlmiGYi6ee/cPwL93n5sF6yaMd1r7rywsVLV373+99btnLlTFMvm1p57rlnf+mzn7/gootf8rKXrpyZXj69fKvttqrVCG1tSEJOoLxy6dLzf/bTG5csPuMnPzn22OPAxZLb7x4OmnsHK7/wpS+fe+65K1Yu++Uvf246yjq6+JIrr7z++m132Ho0uN106bk/Pf+DnzpmSFRRhanhD0797k2Lb/vuqd9XBYMFMr44dea88899wxve7qDzzj7jistuWLZiRYhwB3kyZG2TPrTz+3Z0dHR0rDHib1VTLEKhRoE4BrgOwRkBS5beu9N2D1t73nz2uNuue62zwcYXXfLbpz5tT2Y6+5yfi0C1ccvmOYQQEBzODFNwAWJug7VOPPFbh73ljRmURgMq6Mcn/WC33faqyr7DDn7tay6/7LfTOf/7AQdvsOUGIfJDdtz+thtvnl4x87znPU8dMI8xJq9RBuTGs8YYGdFJAIwGdS9AG2RtooiQ181MXc+EgCbXPzn3zGc9+yksyQzvfe97ly9f5mgOef3+scDGm2wYZhLPANl7jAoQZgxniKiI/eyQUC3ccJ0FD1j34htv2u5hD1lnm82GyRlep2U//9lZ73z722KAWevFVdXUZIwaMFc5UeTe2nPXf9E+L8+OZzxrjwMPeM15557/qaM+P9mbG6n/5a98jszvuv2eFz1/H8xMLVxrgtgT4BZjKGNw9RE8Ifm8/sI3vP7NsLzeemstW3HvyunGXNJIAVTBozOAmTxcXk83QAT3ICUJB5hgukkAhf7kwjnzDjnwoCJgy202+cWvfknoKYp6pCumlwMIbE3TBKlAcTAYlP2ibpoY47ve+Z+h18xfOHcwymmEKGBGrcPICkwJ4wmP2/MhD3sUeLDNtvMXL775/PN/87jHPD4QVyG++53vvOLaq5fnUR2sMe0J9QwxoSec3FyCwRAjUr3xxhu94Q1vCFxutvmWixcvxvTMButt8JKXvMSBpz71qQfst//ZZ5/1gQ9+tOpXVVF98YtfLvo9InrwttvN54UPfciDm14cGDDM+zxjv1NPOeV9H/2wC8oAa7LCiACDK5o6U8QDH7jzySefdsIJn7niiitWTMMdJEWbQeI8LlDU0dHR0bGGs6aIv9UQYTFNgFEgzwlFXLDWOldfe/FPfvKzSy66jIlNIbG47IpLmzz95S999YwzzhQBBQZQD6EI1rZc8AQ4GCmTGk9MzBmNBiMgVhVS3S8iMswh4Dm9slcVFOJUkxsAMCGrivjj086IRY8Vwaxsm3U0DWAhiqbUWEMolAIzAygiggRHVmuKyEVkOMoQmmbE4uaZGICPRiNmrqoKsJnBip5aqhOKCIU2ClPMnV8bolPpGOV0xz1LF991T8xaBPIKMVJjozJWOTfMgEEbH2cMBzb43AKUuYx9y8xFP0YBOSEnbcz5Qx86YsWKqeyD5SvufMADHvDrCy+moocQRsMZNKMCUPesucm1EAEZAiZxRKAy4xDZfMA8KkrxoZn126XuV1UVuALEkJoMogwMzKoqAvDpkTdGJE5gykWI7qwqk5Nzq9jqnbzJxpt+58STJso522619VsPe0NVFMM6G0ogSZiVRAS4FxIcybwuishciLD5INtKCR5kwlIWY2SbWrGy6vUQMGjqGCWNMhSB2hLQlOFKrJox0V+6dGkaJgCDmRl3R1kkTU3TtPkr7lYV5Sc/+eGVK1YOpwczg99ttMlGH/noRw496ODlw8UXXHLxEBmCgsIR733ztVdey4gDKAhBBG3TEGOiOQD23usJPzrthx8/6tgyzt966y36EzCDDpHNtK1/2Bn+Ojo6OjrWKPHXGv/M235pDDeAjMWdl9y7nJ13XrTTvInJm2643RFQVBQoMO+0084AsjapHrqFqpwn6AtFwCQYPFnSGCOh2HOPvT91zLEAUsoAb7Hl1t/9zncKQoC8//0f2HzzzYVRBDFD0gSBUX7wQ3a+4NeXFIwXPfuZXI9KiogBQjmPiiBCYWbUTMxbcMvttyyfnjFDTupOgQvAmjRq6yJvu82ir331hEgxpeYd73jHNlsv0lxoDu7o9Sq1Ye5JIkuCohDnItW259Offfj731fU6HH1yY99+qXPfOEjNt/q0rPPvuvGW8gRuVLwrk/a67/e897hIFU9ArMzNt58s7vvvKMe4cXPe541yYSmUp3rQWBixCjV5ltt+f0ffg9MqgiMiUnZapvNfvHrC6DFi174il4IFcCiLKEIE01SEMHq2lKTCDL317+87PGPfdwmD5h/8y2XTE0vueHmOw97y+dmkEG+0fwFvmQ5j7IwUBQjwICKmVSRlSbnZkBENDmGuZSglpktNYMAkEKz/vLXv/rK14+fHkzV9fJF2zxAAELMxjCKwrARS5srQ2pmsMDFvcuWunu/hLuHohzVaeONN/7m174ZY6jdj/3sZ7bceNP5qLZdb8Ph8uWxCipoXJNZAQqGAKYQwQQKvVDNBS769YVPeNLjUbFGCyUT4OYM32zzTb5xwgkAh6JnhgIoQ2+rrRbB5bQfncKmBDjLFtts/6Y3vWX/g/cPbTKHO1NwU7cAm7PXXk99zb4v2XSzDSETh73lPRtvvDEcUkCqXuASyG0HwI6Ojo6OjjVI/AEgIm7D9dr6xBCgIpmYP2/tejTqRdn3Va969atffcnFl0WpROZI6N9w47W7777b9PKZzTbd+u1v+8CuT3rKnLlr37NkuYOIGeQU3QzEYffdnpIbWRCricl5Pz3vV1ss2unNbzh0QmKQ+KjHPOlJu+7ldQpp0AswQEOsXd/3oXe/4IUvXjC51peOOWazddd1zR8/8mML1l3420t+te6CeYcefGi/Wkiht/ezn77hA9YNMf7svJ/dfde9G2y40TOe8fw3v/nN8+evdfnlVz1t7+c+aJdHhnLdsiyPOuqoLTbfqq7LQAs0i1k2DGOPNbAxFFAU3Fu4+fY77rbrE9eaO1lJ9YidHrPnY/dcKPj+l7/w0O22mYjzdtt975zLXXb5t+c85/kL500wF8cee4zFuMfeez55tydsvuGG/3nYYQVAkXMPgRMbcoYjLNp55z2evEfZ65VhcsHc9e9ZuuS/Dv/Pl7zqFWuvvdHHj/j0BnMXzgGMsprCUMY+KDiLM++wy8OYe5/65HEvf/E+ZfR/f95T115n3YMPffNb3v7WMDlJ5hvNnbtBrz+/V86ZXHDdLbcMtFGkCAgcobSUXYqUUj/SnNj3Juc8WvTAbR/ziIcef8wxc2P/F+f//KEPffhLXvHyWM5h7i+cv/nVV94Qi4mhM3zCUnYfuhsJLKPgMqIP9PqT8wgpNXCt6lFfwtwH7rTFYW98Uyyqfr/a+UG77L377rGpN6gmF1QTUahcOPfKm64X4QBEdXImZgMa8wfvuMv8MOeoIz/68le9HF5rsEZHEYjuyGmHRYuevPfeE5PzolQLF6xVDwdPfNyue+79ovn9tTZYd72tN1y/UGsc5YK1nrL3s3bZetEznrzXcDQNEQcFNooVeHKnHR+49VYPqMrIEj/6sWO23XobhmZFUgBcQExTZ/nr6Ojo6ABAB5/yxjrWAObNzH3bM988T+eScIYKiIzbTgcGglPbWvafXS/mtidYakgELE1OMcB0wFLWWTjErOgJXBMLANSIAg+5AROI1YMzAAjgmpgJBHdq7YpmZhzYjD2DyImNaCy6EBJCoygE3uSycKBxWIM5hcMSiJWD50ETYh+ExEhAwRCYg5qcqxChgIz7CLtzajxEYh42OlVIH5jUGiKAIDcrQ8kAzCdVEQJGqiJiPiwJBhOUuaEQZFziWOCeiT1p2/92pJaEJgmU1SQkQw1ERcngnFAFwKAz4LntDsyQIgBnzcKRk0PIoEOhAkqQMASMUaIGmD3CAHcWNcvMAoopgwIEMBsxOVGA+j1SzAVKS1CAohFqhlDb96KtX6IwBWGkQiFaRhVAsNpViUsI1cqFfeyoD+6waNGeuz8DHt53+Ccf9LCdnrzrvzGGgJhLppLB0pbeyS7FAFBGb1zCOq+kCLVg3A9AoxAB4KRZWODucHCoLQcOAmijIUpbTpywjFIfVKmgIfQcGCREyQWPHJNkSENEVUTXKjjlgJSaXgywBkSKmIhr9x6NBEkRgZ67F+Qpq4QoOg3uAwyMnEaE0q1nDpfxd7Vt/NL2JYFzZ/zr6Ojo+OfFx/91d//w14/cd59XTKJfojJrOw8Asz0TDMyG226+lWAeyQuKFnkVf8+D+DthBpIAEjdIiGoQqeDeqp5CAIBF3NpyHSAQpAQKaGgbRbSrzxzbRSay1p/MFMTBzMaFcwQZIwNmCAoJjj4hOooiOEhhQANAE0TATJot9KpWXQdGYJij7RQcgrQN0ABWpbaHW1EQE8ylkAkDAZAAN8AQirkwghsnRAM16JEEaEnRXQRFglIh1pamEzSEEWdFDm2KKorAPXICIEIGtK1iGcqOqh2FIJNtUebsGDHgiECUwOZZKBtMZAIe2r4gBUPGdbHJXJnbQw4slZOo5xDAcDiEKqISDghNtE8bTAjjlmU9R8hKsAapabvPEcG5DDE7qmBQwFkoMgTecNGgGe6x+9577fncopgkjqed9t0nPukxjgDMgZVMLLBxHWRHYGKUhGpsIDaQTMImhPtws4ySQckCCCINWWZ3JnKrTEJ2MkgUne3zZgiQAIUYrO2yUQrYrb22HGBA1eEibfOZphcLV4ACQEJcOHpEBs4QggRH2cYxtpX7RIC2xKAQwrhNMMO1fT87TAH2tqt0+t//enV0dHR0/KOzxvX6DBirCcw25QXHVf9erRIuExcAxt3TaGxCWdUta/yihFX/bP9H4w+3f4+3ldV3MjsRwRy0/RzGY7BwsWpral8ebz+r0VujowgAuu+14r4CxbKquRlAE7hv5+2WgtmMz9VnNh6r7WDGbRMyBsZtxggkKMedJ2anRKutFCGE+4pdt3sN9x21jC10s8tb3XdABBkPwUI8Xr9Vh0wMoD+7XKD7Tg+zAOitPigB7v3Zo3QgwEIrzF1QyPY77GTWAICzu7dFt8e++3ZuNLuAABDuO1dy3/pH4nZMie2nWFadGsLq05H7/jkXPF68ifGhcHtaCgDEkAlgYvzRArF9WXjVoEzt2SlXNf9oV6wYXwG92esqtme1vfZEZtftviX6vYu3o6Ojo2ONZU20/HWsmYz7+7ljtdI/HR0dHR0daxqd+Ov4l8JXS2pY1dblfq+0yo/Q6b+Ojo6OjjWRTvx1/Ksx7qrrBLSljVd/r/2zu+w7Ojo6OtZc1riYv45/cZxAv2fwI4i7j/28nbGvo6Ojo2ONpzOBdPzL4TQr/8aXNxGtFuTHwP30YUdHR0dHxxpEJ/46/qVgatNdf0/q4b5sj9m0bCLq7IAdHR0dHWskndu3418cIgHg7qvyP7pU346Ojo6ONZnO8tfx1/OH6bR/xzn8vm/3/hvQavyfzq+jo6Ojo+MfjE78dfz1/CMIqT86h9Vf+0eYZEdHR0dHxz8Onfjr+D/G/pc2Xt2xuwoiatvxtda/v2Tojo6Ojo6Of0068dfxf8+fKen+Ipn4p3bxe3LQf1/+/SO4rTs6Ojo6Ov6PWeMSPu4r+fY/vfivwl8qof5vngfsfxro/0v5ra7qHN418+jo6Ojo6FjFmmj5u5+955/d/PNH3Z3/q2P9/w93v538bef/R7q64U/u/08d0f2m989+kXR0dHR0dKxijbP8/a34mxgLV281+0ff+lPv4s8WTH9qs7908n+omP/qw/+j4vsP5ul/8I/fY9XoqyfzAgCMiO+3t1WWvz8wAdr9CgHeb2KrH+O/tHm4o6Ojo2MNYk20/P2t+P+0Bq36+H+/nz+USn9fQ9TfZOi/lfH1T3zQaLUOHn/C52utZ/lPLea/mHm4o6Ojo6NjFWuc5c+oAUo2EBtc4ZGcnOBQUHILxgEAIQkADZAREIDowFgAUAIUBIAdQi6z9qAMt0xFwKy0YCjDAUINABBBgAHmEAWhAQuMwAwic1ACESAOzkQGj8isDBMIlHOCBhJBIAUAMJRay5iHNqOVspMqjBDYIylIxAm53QaJzOAACUgyQICAoQBg4gqLGS7eEAEoAWQFQYUykYCCOcFB0LF0okgA4IDN2ugI4LZ5Rvu3uxOczEEAxJmoFWc6PiUEp2AAw9kzHEBwjFdVYQQmWm1Nwe2+3cc9Oma7+ZpD2aJzcqgRA8JgwAjm7QKMp2ggbY+euVFEA7GD3eEOYgeIyZGApAiggoi4nbL8La/Gjo6Ojo6O/3vWOPGH1a2df2ASau/xq3qAtZ3Cxth9288ak8jvVz9k9T94/B8DHJHu0yw6ux8mMGAOmvVtEtwdbrT6Dsbj8nhn98fvn8MKX22iMDiPZ0xgkMMZ9Pu9bWl1L6uS8++lSJCtJnkIRO00CHLfxAGCs4+9sY5WbYHovjWR2dm2qo1m97NqCjze+WrrSKDVx1jt1K1uiWtD+mh2czi3apBn9zz+L92nF9sBnWbXaNW27cjj+jAAIgP2P6endHR0dHR0/NOwBom/1nPHNJv+6X+opZjGJiYfG+yAVWYsADT+ZCtjWgF0f/3Y6qhZSxVoLBp4Vqtk8NgEZuBW2TGA1UXUfX+MFVFbp25V1qpD2znczzHZ6kzHqqa1DqJWJNF9U+U/Ve6OHEQ8O23Q2GY3XgJZdaTeHhUbiByZlMAMcLuW5qsOWskdxGOd1e6Z/D5x1R5Qa0tUgnj7thvgPhaR9y/P5+O1IHcQjcXarE/Wx8qNyMerOhaDswcBYsyeWPZ2Fy4gBxqQADJ+lzIAch4rUijD1qgvS0dHR0fHvzBr0P2MiLy1Oa1yT2IsBWiVpAFjVpTNajjGWF7Qqg8BGItCn93ZeEsbG4jIZt2axgi62oDtP73VIqtcpWP1wk5wmt3HWAzNajGwrBry946h3deqknarBNtY/mFs0XI4wWjVdDFWlUbUGt3ag2iPxKkVV2DMGtFk/AmGM40FXruZk/t4QWh2BjT2xvrqutZhdD8b2my+BXRWbrevuI9NjrTalmOBCWIikP+e+CZaJXHvZ7DF79ntZs9Uu85OTEg+FqYyNhCuZuQld15lPOzyPTo6Ojo6/vlZg8QfWn3QaqfV5Z2vesvGHlM3InKwjsUH0+9JGKwSWH+YBWDIrUpbJSJ+XzO0A7dBbHBAIATDeIDWMzwr6bz1KwOAk5ODIU6ZyGe9uU6rMlDv86LyfRKKvPVtEsYxdbO6zPw+xymB2r2tcjQ7tcGEJCCGy+webGwqa2dJAGlYpat+zzvcRhO2f88uHjHIDEQQHsttW2XonBV5raXTARj9qSQLo9kjHRtzaZU6g43to+0ijFM6Zk+YjgcDt0ZCQhvYB4YQxMZVoJ1bAzGtej4YL914/To6Ojo6Ov6ZWQMjmXjWeQoFGXQcheY+KybGN3iFZwDeRoqtsvu1yaE89hu2L9+nCNjbHY+jxAIQgCxIgtRu0Mos+P2W3tCOdV9I2n2RfE6t/5XY27g1Bwy0ymdN42SIcYAdAzKrUQ1ucCUYua1mvOJVH55VZrbqwJ1sNqPDxkYwB8PGx7UqHK79tAHq7XoaqROc4HBXI3PyWf1JlOH5/tqpzd5ghjmyt+fCVi2IzWpDn9XePBuUpwQD2R8m4baeb/hsWvTY/rqq+IuNl9nHC6zI7iAPADuyIjkAF/f2uSjBDdaaP/8WLUc6Ojo6Ojr+3qx54s9XSxoY384NyDD3VeYnt1bwebu9c6sjVpmiZuuD/JHVm00N8Hag+0L9PBk8j9UH4OpIDqXW40n3CbNZmWGrhJlTm3PQahpyd/9/7L15nCRVlf79nHPujYjMqupumqUBQUCQfUdFQUXA3XHEYXBDUUcFEQUc3Edn/M2orysICIIrguIOiiyyqYPLuLEpO4rgwmo3vVRVZsS955z3j8isLsBBx3HGaTq+n/50V2VERty4Edn3yeecc6+TG3mb+ja3ZVxYy462bGVUA+vmbsBqB9JsJGPG1pbC1d3d5trQhol91KDxi207xxdlI1XmgI3ebTCFj5IF59cAuwNQjMXdXCHwnNpuG9CG0d3bKPA4atzK0PbkbdaeGfLooka3Q8f31ObaSve5WRgpQzJ115FGdIwD4eNWmkKNRvJx9K3AAIc5vC2b7ujo6OjoWJNZi8K+4/DfSMhYm/UPdSiRw8gtkKz2jlqtM6558HG571zAcV5iGEA0LjugCGTAgQxqu5fbAhKHWxvIdSPKo7IT1/YMrfAhANSWQoBgbXzaRrWzwCjZjx0MmjftsI1U031zEFvnj9pX52KY5siWYxEUDrDBuK2hMAdIeVTrQBBzJxpbkhRG/cJjRehEY7ns40gzjeSXezs/S6tIHT5vvpbx2+FMbXwXMOaRlGtD5URguM0lN2L1NowuWAkMyFy1R9vKVhWHkfLl8ab7vN0JMCcQzCE86nLy+SH6NgeQSOY7nTq+ox0dHR0dHWsua6Hz1/7Tpn85A0wKZIi0bpuqtSWzquoAych0IoFBiSilRETMrR3oRHAfxR/NjAC1VnkYkOHqCqAElQQ2N4eSqEHJEUEEc5ACzpwt5awCcjdrY86awJ41tzIrNwq0q1kwE7dyisiZWyEYvC28BRij9oOEmM2zu2sCABaEwObGYAHlbACYqL0WI3VXoeAuAJPAKBF5zkagJpvDVWv1BjCQNLlxcmJmolw35M4OJjIomCAEYRJOKTGIzXmcGKhmDjTqzCB3WCJQBpyhDrPsMANUE5ETuaoCcBtV+I4SGzkwj3L+iEgVBuM2Am4KM4CJg6oSEYhUtbVmhYkJBGaPRARKbjkNc0RBTuopoyFmaxjGIHNviODdLH8dHR0dHWs+a5/4Y+SU2mk83NsYsMEzLBtjkCCRwfDBsAwxOUwhQsyctTFPg+FMURSqmpKKjMw0VXVXdxeRYCBI9nbeEYU27WmHNYgQGcKmgIKIGW7u5kADDFxDjCEw1CJFodg0Q4qkuWFmA1Q9lMIMd1KDGgAwQ/MQcHMHmBlmsAwQhEBAygBIpCBzEbTxXiIyTa5QRRliMh2mmgRoZ6/m4GoMp7a0xAngGHhmWIcgBmcJzAwgpSRFBQ4pKUiKomcK1VFXGFTdHHD3IkSYM0hguUkAmNkIIdBgNrUVGoacHIMGLsQ8mkUwBG7qIeCuo4ITNQOM4ERuZsNBdndmzjmLgEAp1ZYGgIOlabIBJKyqua6JmEDZG9MGqlAwBVVVS8RUhcoaF5JWXTeNsVBbn0yRMnJn+3V0dHR0PARY68SfKkIhplktBRLVlGdXwjKYDUCAuiHVFCLchZDUHKjTMIgE4V5VtaHLEMQMRGRmMUrrLbk7qQvBOaZRRNNJkA2hQp1brUkKYS7hQE4gU9DVN9505DFvym7W1Bedf0FZVLf9+jckZKmemZk++EUvmR02JJRzMs2qutMue7zysNeBoSmHyGopSJgeDM0gAolwy44MGAV2BFNdtuz3O2y344oVM8O6IfIoQZiE0F5FGeNojkMPAiLO0GFbIyxcwGGaJiqu80xjNmyIEEEWo1k2NZUYZgazTkBgSACJu7sazMm8GdbE7O5mRvBAggwSzDZ5ttFeLyInH86ed955p3780xaAUcadicE0F2WEe4wh5zaZD9nz+z/0/ksu+RYzV1VAG8YXNsCgRRSOPLN82QsOfIEpZQUYEtiddt5p98OPOIKJiK2d1geOIIVI0ZatRKHc1AooJBTcFu1oygbwqIi7o6Ojo6NjzWatE3/tRHwsIizDugnCIfJJxx8rUvaqqcUbbLJiZhqwb3/z/DIWU3Fi/SUbrlo1c889dy1efx2SSkLRn+jPzMzQKOwIwNRSjELk7bphau4GoWjKCGKaSJAVIVAGN0oA58agGVAizsB0rctnBkTMEp6231MH08ONN354DJHFVi5fFjm6sQNSxJQHIcoVV1x+8kdPNIV5AyTmDHi/V6VkADw3uZkR9mzNICE5spmZiYi7lmWEG9S8BhSmYAoGqCVVcLvuSJ6BNICnIZDRDFvhM4gBkWNZiCssZ7VVQZgg2RB6/SGsAYauyY1IkF1IYF6WpebsQiqEPMo6bJIWRYiFmAJqJKKakmOYsXJYM0AwNrCQ5wau2uQgyA2IJFCIUWKMw0F2grqlnJhGs9U0aQY2nJleVRSFhMACgqvlWPWvvvrnJxz/EfUkZMgJBlcF2DWiIeSElKpYOkIDqpNZUhAQoiECcK//ag9uR0dHR0fHX4i1TvzRaNYOJaCQAFW4lYGuv+HqlfWqN73traedcdpNN9zwvve9b3rlyul65p577o5VueHGG99zzz3v/+A7v3nRObMzM1NTUzkbM1SVpa2l8JSbD3zgA2UZ+wV/91sXCfCN8y8krkJRveoVLykl/+jyK9933Em7PuoJpfTeePRRMEDtH1760smy/7T9n1otXGeo+fyzv7bBovU2Xv/hw+l62DQnnHD8Ntts8+Uvf3XxwnWj9M6/6PxY8A477tAvJz/9qS8YIRbiNnvCCcdKLALLJz/5SVM99ZQTzzr7iyH2e/0F3/v+1XVCEavhcNg0Q2KYZZBfd+01CyYmi2LRM5/5XHUolFmIwATLCiIMZ3bdbrt+b+GiBZv95pZfQ2tDfezxHyhDEWnhty75npDD6x233zlIXGfxequGs1ded+1LD3sVc8imrz70sN/ccut5X/7qR487frftd4xFfNVhh6kbhoO9dt19cqK3aN3Fd69c0TjqYdprtz0WFBsceOCLEIIKqqpMmog4MKwZkmC7bbeemprqFYtPOeXTd95x90Ybb3jMMe/af/+n9/r9/fZ9hqqGEABzBwNllJOO/8D222991pe/WpYLimrB+RddkHPeafvtY1GddtppgYigR7760JcfcNAzn/7U97z7/essXn84XWNmdu+ddgxMC9bdYNnKWYnMhXhKLJS8LVDpJnvp6Ojo6FjjWevEnwGNNYA7lIkghFQzjaYD8cDb77jDuustvvP23916y6/aGKbEYK6K5Ay1pDB3bZPe3J1ATOzQ888//+abb55prM7D/ffe487f3vz5s866t85Zm8LrSy88v+xPvuPfPvDZL31t5b3Lrr/8J3l69vgPf3zPPfe8t66/8e//MV0n4vDMZ/3N3fcs23yTLVQpFMURRxx+6y2/eu5zDpxetWKQB09+6tPqeuaqq64467xzl69ayQwgX3vdz6659uqcZmbr+rTTPn3TzdcNhis/c9rH7r33tiuu+MGnPnNmUcDgm2y66Q033bho0QIRqmenD3vlq+664+40XH7eN87m0RpsYAG1M9ooTj3hlA8f++GmXvGD71521OuO8FovPPeiW26+ZboZZFvx5Cc/HuYvO+TlHz7xxOTpzqX3xLKXTHuTExnGITjBmape7+3veMcPfvCD4WB41RVX1HV9+qkf/9KZn5ueHfz4xz9+/RuOYcIRRxxx3LEfXFnffsEFX6ubXLdFyCJWN1BwjACuv+mm2cFg1aplZ55x5uTkgjtuv+NDH/rnc8/9ullz8cUXuLvBdbQmsqnXRxzx6lt+cdOBBx40GK5cOb3yaU99ukGv+tk13/j6BYNBnXJdD1dd/qMfHf3aozba6GG9if7BBx989x13fvnTZ5z1uS/m7Jdddtmb3/6W6UENBUgUAEFN4Q/2aHV0dHR0dKwRrHXib274djVu56xjck077LDrwt7CXr//uL33WnfJkquuuebAAw+suH/hRd8CjEkIyLkRYQbUrQ37hsAOy9oQ6Otf//qb3/wmFUJqEOufXfn9nR+1e46SnI9+zWtu/9UvB7U95yWv3PDhG0xNhr122/62X9x62++mX/SiFxmAUCiFQACzD5qpiUVwcRAFERFyJhpNmderSg5S1/WCBYuaxs2bb337mwc977ntpDRve9vb7r7zDsvD1//jkVOTE0s2XLfJmJlFzgZhuLYmZVkVzz/oeRsu2ei2XywtIpqUGeywnJQIROwr81lfPn/PRz+WA7bbbrPtt9t65b2z55936WuP+MdiVKaSl95zT8ETe++3z3STo7CZTRT94fSMJWUglsUgNauGs+879oO9RQuLsvzxD3/UD8UnPvrR3XffZUG/2mmXncuqqg2T/f6ej30cUq7rmmJBjAQwiGNsi6Y95498+MMxxkULN7rh+pvMrElNXddlWdY1RFAURbsYXc5mMCEBKzOJSNOM5ripikoCp0ZDKGIIZVUJYZfdH7XeOhsefPDBYKuHsx/+wHH77LXfVKz23mNnDlRWJQhEXJsqMjNgXclHR0dHR8caz1on/gwQFoOxCDGQMgQicu21V1x2+eVX/uxn6g5yFMXVV1w5m2c//6UvXvqdb2c0AFVVZYRsOUgwcwCqmnMOElJOExO9nHMGoIZmJdmslKEGFDQRow6bqjc1NEEA8iAPVpHzTy6/gUjUEMsqq2UAzGTUDJuyDO2cMqoapHBrVxyDI2fNvV6vbhoJxETuxgyHFyGoqlkmtjKSepNSMnN1xNCmrDkImjPMXnvUUStXrHjXv7174cJNh8OhwcwtBDFPUCOLgfqCqHWSmJm0LHuCXqCYrSFpKDgRpQZD01CEYdJKxFV7oejFwszqlBC4mOzPNjXctGmExVNeZ+HC397ym5XDZjAYnHzCR5YvX7lixQqEAIZ5ZmYJ7ZyKhlbwpnzDddecddZXUk7Llt6x3XY7WMrM3O/3m6YpS7gjqQJQT0Vsl2VWCOdUE6RpIKOp+jQ1VlVVzplAsNSrKmTXTCLiSCFi4yWb3nDDL1fNDlcM6w8e+4GcHYAbhHm0vputdZ+Xjo6Ojo6HHmvRYEZERNSzzOAZVEMIYOAe8uKVst7KIuy4/cOnqPndTb8FLTLrcSk9ajbacSspvEopDrSYqYSWrOKJe8FJyK0RRpQiqRjLU5++93HHvVGR6l7l1RYPe/iTvvPlS6bSsKB7P3D8/7ft1lvrzHRZpVnBDFjKsuyteuQ2s5d+72d9xiHPetL61BTZYA0WZq+mlzezg9Br0Ftv4eTym66cWDmoFGqiPqhkmGbvKNncMZv7m2270xfO/rxj4Kn+t3/51802fxgVsyhWis9W5pZXVD04EppMHJKjDr3ZUJo1sJUfP/3YF73g2Xfdfg+8p141jMKjitnUcJvtJq/6ycVSxe9ct/SyG+8qev0D/uZJ7z3+XSuYlsNhzeKp/iakV3z7B4UikgjypuuH4dIbQ15+3lnnf+b08xOtvyKVXE6AXUqqm6XST7tuscn1N/4kyXRiJMyuvyjdeM2/33vrXXr7wiNe8m/Bs6LJNkRagGEJBsRmOWyx2+NnG9x44x03/uqW2RCV+ltvvNWtN900TWkpm4UgDQrI0Gcdk/B1gYWL1lv4y1v/o+rNWAY0UipimCX9bYkh+9SwWbKKFk/3pCpV6mFRA7FYsP0m3/vVlU5pgfpGKjEPVDCQJoAiQjLKsav37ejo6OhY41mLxN9omS93AhUQApkp3FD1IByJVdPhr3jVMUe//qc/vbKa6EtZhKK889bfPGGvJ9x1991bbb7FG978pqc8aZ+NN9hoOD0DWDYFwd2YueDwzGf+bWqwcLKoYnXhRd/efqftX/zSFy5cpx+L9Xbe7bGP2/9Zk1Wl00ungEKqQSOh7L3nA+859NBDpiYXfOLkj22w7oYU+MPHf7g3NXX5FT/ZfJONXnvoqwCmiYXPet7zJjZcEEPx/UsuGaygDTd8+EHPf8HrXntob8HiW3/z6/32efq2j9gxygaTExMf+NAHN9p0awpL0nBd2BJK6y2IwVKu1TyW5giMgIZTs9uuj1p3vY2qMu66x66P2HIzuAtDAGQTES6qY0/55KuPOjrG/rOf8aTPn/FpLop993+WN9hosrfeZP973/0O3P7pAx948SEHl+XEBovXvXfZsg3WW9KbWBCKdb5x3rkvfdlL3BI816k2dzjKclIg73jvvzznkBcX1dSCieLMUz42gQVnfOGirXbZY7ttH37el06NeVbAJRcUGhQYNkD2XXbc5dKLL5mYXHzSyce/4IUHxRgB2mOPR7/nPe9ZUJR/8+y/SUnBAvdI0Q0jy1CKg/7+eVMTkwsXrnPRxd+aHkxvsuFGzzng4COPPKYI1U03/YJjADBMTVEUoYhNTh889kMveclLiqqIRXHKKaf0e/2UkxADnlOKHOiPPGIdHR0dHR1rAHTkecfUsQawcGbBWw9440JdQMIZKiAyBgFkBoITj1bnWiP14ngRMJBrNvMQ1bTiAGS1nNmAQOACwTLMQRFuSXPjxUSJnJrZQiI4OkLjYAYDmusYmCAOJmSzIXNOJoQCWgaBMhJmgabKBeoKfV5BYGDKgRqQaY0zgkUZZa1wRxXAlpkAp2yeGcREBk9WhtiuOIamRskqIYEBECA+DKQwgHuNMRgM85Sil3CYQAVOMEXRzk1DA3j2pkAuqQdDJnZAVClnryIc2WCkxhwSuHbpBZIMZEMFRXLUnI1DqZpBUwCIoLkWScTmXuZcZocU7VppRjCoBSGYUVqJclGNiNSUQm4xE2ICkIA6S1wVS0LuI6GRGAry6cbc4lR0UIIxLCBA2QzmwxCGoNKpBzTNDJcBKD3VURxugDgXqW1FGhYRUIMUboEYlmEJoQdtGhEZzeKn6nASyaYGjyEa4KbC4qNV8joF2NHR0dHx12G8nqm7+/vP/NChB798Ev0SlRkTj8ZcjFakZTb89tZfE8wjeUHRIs/x17yIvwqqIQQGRQ4OqFtb9AvTmAwJDHBAo0osRVGWagRmKVyCmcKbks2boVuSEBvzDFJTgN0CMBG5gpFEmMPVA4QRVQJ6jIxJoHDNDRAAKQkBGIp75agETfLkAIWkxoGEjUCJSMqYPXsawBRFBSO4GRRAk4ytgk3AeqrObEMdJGSOgpgRjBiuybSOgpwd7UIZDipK6sEcxE4w9xyEqoLBljSDC4/9xmIQ7oeMlC05hKEkqgGRQy8jZCmdvZ1gJYaSuQSqrCwRvYgCcGuAnOHgwjSkBgjrIEtIVoYCEBKQoK6gJUFi4DiRtAAyAhdAquFcxCoAIHCEM6xdpUQBKkpwDxQJAIqyBGCmIZbmAouAEJHmTORSFE02SOGNEkFrZ4aUUFMpC4iAkFLjcAqhnROx/XRoToElp8RO1FX7dnR0dHSs+awt4q9N+AOAIJozA8O6UVMiYRCBCo7E0orqbICwA4PhgJibYQpS5WQsQm7wXAgHFnMELswgLGYQLjUJsoDJYCAEp6CRUSZiZ2RXtlyQhAJwgCKhBxCpQSGGKqIQmINjNEhyOBDgao2wUikIATYAVCiUEM/ej0wCU4BYDQQrxRlDxlBtxnSFMULgSlhcYyB3MiO4jL4cEBpHAxAxXJHTQD2DGFAFBwLYLUl0DoABZupUJ88oBzkTyAFhIDvUkE2NJMSUAIfqsGB1NAQiAoGKWEIDkgsYitk6GakgK2yawiCWcC6IeoBCHUaFwSOcBFY3dSLUngOzZYdEmGvjwcCOrE02BQjsBoAjQjQEAGUkR1JkhNikTLGEuwRyBwQurEB2bZeYoxBMlYMAcDVTLUK0rKH1BTvbr6Ojo6NjzechK/7m4rzzISKAWSTDq7JgEDuxuqYGGPmkYERBBA2bYVVVyXJRlXBEjp4yRFQV0k77QbnJkUnVAYCJwHDO8IzMPoQBximLIQy8CYURuZs12SEwRU4RymARhqXMaODJHbWiBogKwIPnEkqeIOwMFFACDKLoCWnTmFsWV4FEYYQSkRKpisgEFwvVQSBoDWuIkZmd++AKKSFnZ2SKDYrZXMMNOUNiEXumGgAiNApmcW8gGZIQnUNJsT9U9EIvejY3ECAEZkjJFNURI4ggqAl1AAy5STbq4WKIYHAYoeyV5CDTAkSttgQAQ5rtwROQqQeJ3ijBikJmvCEJ6h4kWNOAKQQSwJuhsAsLIA6pc3ZCUjghqyvc4QZmkqKoAAcRyCjADOqWXYmlTk2IsZWAOWczizG2T1G71C8cowWVOzo6Ojo61mQesuLvgblZcwUfSjCQA5SBbKwopQBQu6KEjzVIVZQESiIZyEOFE4WQU0Yoa2tXxPXIoo0HIWI2AzFAxlwkAEzwWTQNCTUjz6gGhuo5BNIMFlCMhgCHZZOC0QyIzC0XAijcASVhBjGIAK99aHCWmBOQAEVRBMeQeGhIWY0cOpQCk5yrZhAsc6NuYEiEKtKQCTMJdZs+GNEAMw4HlSFCGzCJQdVIghOyQgQGdjLYrKPJmgfGyREZYqAmMwmApkkwRVtrkQFDzgMSr9MqoCkhvchMgGtj92ZuGoczVOHK8DI0WOAoAQqAGAWCNQHVvTUSQEXpzbD2BlTMwIgImogcDM1AVolOnNUzIMlAEpoMDgBAQlmdUJqbwdwVlgF3s/FzIkKipiEWANo1mkMIIpJN27WbiRnugGMtTJPo6Ojo6HjIsbYMZnNGoMMBAWAABUbjPhjuucejbrzpZg7hrLPOeeIT93eHZwgk5ZRACQiVgNxTkthLYHBhZp4aBoVAw0EGzD0ROWDZDSiANHvXbZttvvETn/7cWQeDkVeee86Xq6oquP+Jj34iOVYBRgIGlwxzhPj1c84uejFSfPi6WwzubkpiUzixUTA0JdUGNsocrdWpufFAkZEDmkJyTkmEcqp32XnbhZOyZN2FK4bLMlDP6J477LZBNTFVTc1ma4R/u+yejTbZeL/9n1EQolnIg1e+6h+o11so/W9985LaKTEgyEDyzCB4Ts3sttttN9GbXHfhw2eWKQxLl6/aeOPNH/v4J3EMHsjJcrYyQggS4FaXkT70wfdWsbj0oosBBatq3HWHbdebLPoT6ywdNE0geANXZKSEYWpAet01N8awqFdMvOl1r20YpnrDdT+brCZe9YajBuAMAETsWY0EIMXMvYe97IVV0YvcX7DOBjfedMuNN1y7zxOfkCwN1Q9/3euPO+kkpsAgIk+mIKIYcs7CILjDhcVN1VREWsHXPi4swsxqOg74dkl/HR0dHR1rPGuL+JszAokIaNfrAgAUccWqmc023/ynP/0pO8/MzO6+++6DQXPRRRdxpF6v//JXH2rAlddc9+ETPrTtjjuwVIcfdowqzIyigAFFVQW4iyi4gZmAGLjjjlvf9NZ//OI5X2+kUIKgvv7qn5584skrl8/kZvZTnzzpZ9dfPw0YEyjDFQageOaz/0bTvYOV9+z08C0Xe/H725a/8EWHTGc0FI8/7tjvXXrO1Vde85GPnLDDzluS0Otefwy5wKJYgNaEJhTm0px/0VdOOfU9g9lfvf3NLz/zi6fP5Pyqw15/0gmn3r1s2ZfO/Nw/vuGNv/390qPf8sYvff0bFqrcoMjpkq99ZY89H7PUfLBy9tsXf2fp9HAAzBoIgDnckeojX334qR/9RF1Pn/7JT7/9zW+8++6lhx/zhvPOvZBDNas6hCZkCf6SFx9y8kkfBYxYjjvuuD122fXQl74wWAKZ+eyrXvm2Tx9/ysrpO79wxiePfMtbVlkGD6/72U8WrrvJvdOIInf/9rYDDnzB8hlPg5mF9T1fv+Q/rr725x879eTPffGzg0yNI7UV58GTZxPAGogt7BfX/vxnq5rZ7//wyte97qjrrrlqqy02vfH6n/9+2dJtd9iFuGJndnVTiawwdRMRwKhdTQQQFiFu7WEiMjdmdrjBSdhHweIu56+jo6OjY41nbRF/qyF3VYYz2qoLQxG22GrLmZWr7rztN1s97OGe9Y677jztc59ZsWpVXQ/LWF3yne+uyLNvftc/f/3C82dmhz//yTXNSi1CVEtgQAAHXFVrTTNQEqLaV2608QYfOeP0amqxQrKbY/p7l333qCPf0uv1zj7ry9f8/Kq7l94xBAwhm4IMIkBUuKOu2Kek8GkUkBBLD1HBg+Gs0IBl6i1ve8eXv/7l6Xr55VdcsfT3tQ0BRJLCU1bNxPa3Bzxr7yc+Dky7br9jpWlm5bQVvZ0f+zgU9Ja3v/X6a65db8Hiz33y9F5vIkGGABdCbJEYQLrz9q9+9av3LF85rRYZBAQSpFwvX0FNs9djH5cS/vWd77z+2msWLV70mc+e6cYSCykCQTKUYL0qgDIRK/zoo/9x/yc/pZ4dxEDwZuny32uqHr33E7F06Xve9a5f33K7KYHh4kocBZybK3/6o9cf8wYV/Ozqn3/+9C/d/Jtfb7vjdscdfywAlh4I5vB6iNzEGEaJhM10FSilJAFZ0TRNEOzzxMdcc+3V11x37U677RFjRQQeTQDoSjDi9q2tUqf2j6Ot550rD3KQgwA4jXfq6Ojo6OhYw1mLxN+c+SfEESSAMzzwKk+9hVObbLTxWZ/7wnqTC6d6/ct+8P0n7rdvrEoARx16+HXXXRen+s99yQs32uLhItjrUXsuu/0eUx1qneDNKAwJYZIYEGJtqSQGGgwaaxzmAgXqpNlCtc0Oj770Wxeee95nr7v2agEadbCoNwBSyhXFrDViHMwmrhBZcj3L2cVR9SYRi1qrvzvokG233KkXe3vsvuv0yuVcIg8zLJJMCU3AIxoHJtPy6n3vOfPlBx4sCasGM1+44GsTSxZ96oufDx7jdC6T02DWA6YZM+D9n/nMEz503HpxvQMPefETnrr/qumVC4QLwBWBS0gV1Fmbc885Z3JqyadOP0PdZgfT6qkoCs22arY2cFsy8/FTT3nNa45wBxCIChgmqqoZDiw3YGeqv3buORs8cvtTP3b67J3LsTxBix12e8yye369sABrYvGZ2d8ffdQRb3rbG779o0svv/oqIwCY6k9ZsiaBGVSWYBhstklOBGDl8hV77LZHPy7ZZ599zz777Il+tfFG669Y/vsrrrhis802u+3W34y0vsMJNCfiXFcrOh8lZrZbaSz7AIz0Xxf07ejo6Oh4SLAWiT+0+i8rE8PhCgca4Na7bv/Nnbc/Ye/HX3PFVY985DZN02S36XpAYGH2wbAqehlUszewQCiMbNiQaYzBQEqwVjcQ52xZB4FFXaECcD+GmBrJxugNnA584fO/eNaXP3LqxwazaZftdwyGUsgAEoAtRtLUFNJDJpmaWj6LjLSwDDHVnNA4L8tuZZxcuLiuHVkoaWpmVCH9yrkcDgUZMAYEM2mfff/uox//xuQ6S/Kw/o/vXPrjn3zv9yuXP3LHHbfebvupMmJQTzAXrgYMwR57V111lQ1+//Xvf0smqq222KSEScqFIyegMXJ8++ILL7zwvJXDux6x4+a77blnVcQJguYmFqGqSoMRyKFgwIwoWgIQYBg0TSgiF1WT/OILvnL+pd+6Y1Xaabcd933s3ksmKmQGSAoEAWIwsze94R0v+PtnnnvBuU2c3G3XHd0dRs3soB9D0ZpzphBJnnpFJA4oJ3r9BVdfddVsc9eKpTdP9Kobr7u2X1YbLdlw4dRkVcSqV7ijDfCS/yEH7wGyzjul19HR0dHxEGXtEn8AIAJ3qBJBAYXFsthhxx0XLFx46mc/6/VQhB75yEd+7WtfI6CuhyefcMK2W2+dk4YQYlvCq8PJqqAgl195eRXpO9/5QVtM4k4hTFAFhQeqkAJEvFlZWloQy+zVM/7275538PN22G7zusG73vPhjTbYaDHDDARSg3uG+zfP/yYs3Ll05W+XLZUFKBcUv/zldTqz6uYbbvynf/m3JFMDX7F85t6qrChzcIoFjFSB2YxYwR3IM7Mrfrvdzluc+eVPb7LlxAyFTR++5HlPf9rrX/6KaHLpJd/hIloBFJS1qVQXJEwAJD3u9xv3fznhIzXywipU5kLBEiQAMfK6iw/4+4Pe8k9vTY4LL/3BsunpXr9P9ax5LQQkwNzcM+wfXvmKk04+BR4EJRDd4EwZpEYbLNn0JS948Zte/0YGzv76t1YMViECkq6+9qowsd5dMw4Uj9ntUYc8/xlP2X9/dz3pxOO32GTjSgpIZDAPB32GKxAEYDg7YObIklycJWW4o1dyrzex6aabHXDAAYf+w8sjmTVDM7gTEAhxzgIE032mBBrfSADu3taCOJzg6KK+HR0dHR0PFcJfuwH/27gmkggJbggMB5Nmd0cUgGiqP2jqjTZYcvTrjqxCCMDxJ56yzxMe+5Nrb5DGCvjs7MpyIqyaXbahTz16t9232HqbX/7yl/TkvUyVJDoiw9i05BJS7fyIzW+7Y9lKrRbI5IWXnrPfkx61w1aPqFiY+hecf87WW2/ryOxBQEYRiKr+8M225LBYqDz3nO9NrQvT+LfPPWDxkg0etde+b3nz25yqsl/HorUaiRgpD0LgGpAAM3AA2D55xsdv/e2q7XZ9ZMqlb7Dwnmtufu8//9Oej9njpt/fvcu++118yaV1yrs9eo9bbvnVYChbLVz362d9frc9tt1x913vWbbiwMNe87ETPlyowgvUhsiNowyMXL793R/YatdH3bFs+lGP3/87F55bz84+Zredf3bL78DVegvX+ca5Z+335L0EMqwbkQgDc3nheWc/+zkHxRKf+OxX93/yk7/81a++/Z/+356773j73Xfu/ISnXPDvF9RIpTeA9dZZvDLbRhLWediWzzvo4CL2oDjtpA8998n7/u72X+/3mN1vv2tZHaa+eMbnfn7FD3ubLSliLDmawymCe+DJsui5IzqIDByaTGYchaPYTTdeC4KDiUA+ytJspZyPo7z3c/rIAVr93aj9Fd4JwI6Ojo6ONZ61ZW3feSQ3dwRmdneDKhnAAcQm7Qx/QwIJAjJpzlIY2AGGEVYVqDAMCAJamckPf/Wbn/PcFzzjaU9iTuYEBKHczgFIyDCFCmKZCQoEbwQMD2bw0AqJWsCmylK5wRwQA5KgRAYI5kohJwgQFADqhAxwYWVFDAUkG8ypaGcgDgzBIOt0kALegxcrGQsMaAxkuZQMIs2luzOph8DwGhQNogqqIQ2oAipz1IQAj6jREKxAIJOmaWJVZsAySgF0mEKESzCAYGwOdVD0AG0blCHawBn9JnkZiV2pSeDoUWYB89SHCxXDVmwZCsrZMqQKAJrhyhCmmL2e4dgDh2RgBjyD2MDkCACaBoGcYw1EAsMsNxIEqpCQAEIYlwgDGNt+ZAbQ/CJeB7yt6oW7r84OdKdxRmAn/jo6Ojo6/lp0a/v+uZgRs3NboWtCHMGEdk0wAKMVPhhggEVaryc4BFRA4A0KAjU33Xxjr1y0/XbbPevpTyKCwkEhZ8ACE4iyuYILhNLHa1sIFdCAgTNDgcaNwUDNQq3ozEACKwQwEJDBQRIkI2RAgBLEoIjAzJmAYO7KRGQZgDAMaFCSrA9f6LmAYwKAOlxRhgEow0p2mJIFMJKDSrRLxnG7Ti6MW+EZYQ6FOeqM3CAkUFGWlOuIXAQ4AIkECwQiuI6eSgJ7q5CEQexwRlQgRFKD0oxGQIQcESYUlQo0qMwqGwpbTcGkUmvU4LGqOGTNXFRQhWpkMABiBxPGC4NIAYpECAR4QzAJBZzBAXCGEoznF3aMf/Z5xRwj5k0JxGNP8IEThnd0dHR0dKy5rHVhX3CJdpZngIIAIHCc2xrQbpXxL2X7+kgGTDocZCDZauvdmiYD3E4DElAAkDh3lDDS1QRqf1+9hQAUQEGtwowAwKC5c923EQVCsbr1xSTm/QYmLgEwz/djeXTeODoMIiFGAFOjMzGKODpNq2rixNyPE63unfdXaN83PjBCubo/IKFtJbeLX/BqY3h8wYSw+vIZwIK5XQpwMf4JYKAaXzTus0UKYNRP7Wll/uXK6h8DACpW73f/7fdJ3KPRIiD33fqfvcCd/uvo6OjoeIiw9jl/fwEYo6ngpPOEOjo6Ojo6OtYsOvH3l8FHJaJ/7XZ0dHR0dHR0dDwonfj7rzFn9ZmZz2O89a/Xso6Ojo6Ojo6OP4FO/P2ZdAHfjo6Ojo6OjjWRta/g478NEbkzM8371Tst2NHR0dHR0bFG0Dl/fw6d1Ovo6Ojo6OhYQ+nE35/JXJ6fd1UeHR0dHR0dHWsOXdj3z4TmzQb8lz1yqyY7c7Gjo6Ojo6Pjf4JO/P1RDMCfZpH+6Xs+GJ3s6+jo6Ojo6Pifowv7/onYf3uHjo6Ojo6Ojo6/Pp34+9N5EHnXKb+Ojo6Ojo6ONYMu7Hsf7pdv5+5dDPaP8V8Vvg/2faObNKejo6Ojo+N/ms75W83/aN3u/IVA/uJHu99CI//77fnzuF8Dxkvk+X+2w/9QG/5gVzywe/+nW9LR0dHR0fG/w1rn/P1no/hfynB6cJUwbyG4+5/ufm98kPb8Qc30R4//J7bnf7p/7neWB17L/U70IP35P9Sk/6wxnSvZ0dHR0fHQoHP+/jo8iFf3p/hMD6L//ujx/6vt+cvyIGeZc/4eaAE+yP7/Q+35oz3c0dHR0dGxhrLGO3/3G5P/qDNDRs6eKSkQEIMS3C3kBBIKkgAHgmc2BtjYRQkRBpCBagcbhMEEg6NVz5mIkdkZLsQJEAcbjGEEwNkJGS5gVgJg4gkWwZzIo5EyDBSpgQlYrL2I5AB5hMHZM2VGFAPYiBhEDncoAFD7EhgEV3cHBwAOJ/gMUt8LygA7JAMCYxAyJQMEhTgSwYESQAJCBhhwB5xg4NH3A/fRJbO33W6jvo/iABncQHAEdTiBAZm7N4QMV8CBkjJZhAMEI2TKDA/tL8RKDkDgcCIjJ4BnYX0ygAGGwxxEyASDE6wAwckUDRAJIgbn5FADY3SnnGAOwAMchPZWKkDuwpwU0UDsYHe4g9gBYnIkICkCqCAidkAB+e88rR0dHR0dHX99HiLOH43//HEc5KO3rH7z/Q40T1M63N3hIznk4z/zNo87kQj3EaP36VuCEKg9OMEFTiAw/L7ydSSs7tek++zBABwKGMDwVozYqPDCBc6rfwULhNomsmurx0ZtIAaJg8btH0lZ57lrGZ+fCEQ0+vd+1+UOp/G72obdr8FkAAQkoJF4azWrzzWD287A/W4ij1tx37vbtgOjHpjrap7bDB/9yvP6jzDvaKN/2KlVg3PHIVB7+T5+MfJ9dujo6Ojo6FjjWePF35+q+ea/ASCQgEdqjIjudwxufTVaLRQIAPs8SQEATq0SBGycMdeKRXIH+chmat8L6JzOa6XbyLcbnRE+EpqtzvCR+ri/kAIM7goowWnUdBLYnKJytOJvpI0iBOSgBDIFKxhkoAywgMkV7jyngCSPzvgHo5w+/2nx9tqcoOPrhjs98H3j/iFA2re5o7XiAAJjtWK2totoro/nOmz0gs37u9XNPu6/VlwCo1xA4tbjW92DDMztAYBHkdyRem5AOk8nZkDJGR6AQDBG/gMd0tHR0dHRsQayxou/PwsKcxYWtdbUWH4QwFCYj+XPSAsB7aQvBJCD3AA4jd5GDmqzxwiA+H0kG7eaiQEgO7kzyJkBgjnDYHMClmEga1WV3j+gjZHoYRARt4oLcw0fWX3jNrsjtVtFAVdQMpjBFW7IDhMQOQAFcqtqHXCkscE5EndzYmkklUbdQXBuddVIiFEeGargVkr6XIPc4RmeBMZgImr7zckIkLbHwe1lc9t4X3072j2d5nrb5pzZkRk56n+ZewvABBlZrQ9cdmV0HjiN/qZR75mPLcZ5XU/kEGB87x9wTzo6Ojo6OtY01vicvz/K/TXUyAtinvdKu6PDQQQfxSYNdp8ML28Dh6uPN3IMCaDWsmrFpLTii0b2Xmx3ZjhgTu1RpBUYTtYGf2GtHegBRKPcurZZ1kYngfsHiOc3ZU6TrNajgLVadLSHGQwAj01Kx9zWkUXZyjW5r76h1b0zVoO0Otg6jhe7Q4kAi62ZSoDDjaiVxW06IJzhICYncnZyprGUHEecnXzk260W3eN7QwTAVpuC7UnGvdB2YpuJSCCAadR747kbgdYcdQDgsZRvE/vAEILYSPJ6myk4jhP7SMFT+1dHR0dHR8eazUPc+fP7/zoWRHPu3Mi9stV2zyhzr32lTXcbOYJz2W80l943lyE2z3gbvUTaCg9rd3BztPZb64cFwG1s4LVvlFaZMRw8r6Ji5CyOlBa1QdAw8tQwJ954TuMABASaE5DErcoXZIGREbUap82DYwa3B1eaf4kgemB1gzuMWi/zPhl0mMs1VKLWR6Sxldf+KKujxkQjmTWXmtjeEBKi+9huDjgEgJErdJx/OZd5OT6gzUlAs5FvOa5fHsXWx0FejCxbtF4ioMjuIA8AO7IiOQAX9/Z7UYIbjEeu4/27o6Ojo6OjY81jzXf+5us7+k+3YOycjcWfwxnkjpEUorYQ2EE0qu8YyUIaxUGNwCD2UZ7ZKN/PhGCtA2jU2nTzW7K6QWYOGZlm7KBR9SwEbq0SNScaVaMYw8ACHem70WEMRAYmuButPhU5ubSXZoS2FeTUXq8xACFnpkRI5NzWGbcJekSRHKBMbe6bR7vPVHZ+v39HZpi3NmerihtChEe4AzUowSMousPIGQ3I4AGIY1eylXGrs/pobFj6KBRs45THdndScrgTMQDy1nokWx2+nWd8jo4srZYcRY1XB7ENcCdTJ4DauwAyGsd12/usUKIg1pqjPnJECeZwyg+Fj0xHR0dHx9rNQ9z5eyAje2x+7UJbP+Fzm0EwGguLVpfYakXE8FEan7s6dGwpCUaeU3YYzN3GrmAbxiSBldSGVdtEQ2cg2jh9kAByg2lb9HFf5UrcxjHdcqv8TKyNFLd6cq5JUGunRRn/mimrw4zIhWBoC0qcyBnzAp1AQ+6k4g9Es1kGbC7g67R6ejxCbieGcSe4o227tfPQuCKhTWoElJAIPtK63E4k04q+1u8zkLvDHK5mWd0zCAhwdmKbcz/bYhonA+vY55srAnG40fiaxt0y796vbn8ruEfBeh8r59VCu3WJpY1Wt+99QCVzR0dHR0fHmsdaJ/7GIsFAlE2pDY46ckrMIIGmJEAA5UbBUPM2jsmOnBsQqcPgZpnJiZSI2ihtm6dGnIWMiIjEjQhKSO7qCExBRplqllVBwkAgae0mogB1aGrdtUZzOxMMRroQmjLGAWkWCszurXtHzXAIIvNsbgyGq6sys7u6OzFUxxW3msAOhTYuDjMkcyCPM9sAYgPMjIhgLgSRVte6uY8dNzCzmamqIABW1zUxAIEL1EBOo1lUCoCArF4b0AA6aiFRKxRN4TnlRIC6kzCI4CpCxOxEQqzqDJi2GnkUjTeQI2YzEoDbzjGHtdMrggBTmAFMHFS1jWOrajtjoDAxgcDskYhAyS2nYY4oyEk9ZTTEbA3DGGTuDdEoBt3R0dHR0bFGsxaJv1acNdoAgIipBgk5JTQ1QCJSJ9QNJBQEcs1FrJBAHFVd1dxSDMHBLGRmwu6o4VndnLgxb1ITuLWL1NGoJuagmhkwz8RwQmoyaTY342gGMnMzVReBNwnE4FA3dQailOqjiZzdQCQhRsASkC2BzN2cBBBVLaoSWjMxKAxTDXIihSmRuHI99BgBMDIhBrcaAZHJZyEZgZG0Big1NnLWnIKEnLOImFlT1yJCRMxc13XOjZkBMDMRgQa49nrcpCG8AHoAETVAzUaEIiekPAPOQ2AABGYGyGAZJIAmIBehDVvTsE5gh2fAa7MBAEMZRA1BwIDVDdhMM1N0wIlzBgxShJS0zVhMqbY0ABwsTZMNIGFVzXVNxATK3pg2UIWCKaiqWiKmKlTWuJAQETE3jbHQKN4fKSN3Ed+Ojo6OjocAa774o3l/HrDlAa9QIQEwN+MgDg9B4HrUYYf+8he/oggEjKbJMzrkpS97xrMPXDE9TUJuTet/ZUeTISG8+93/+v3LvsXkIqIg4aKIBRyWAqDuq35/7+0vetGLbEgwFpahJjUN1Oyx606vPuxIIwKDaUZVOZABJBH18OhDX3nLrbfWCgWYJGlGADEGgzo1DYiuu/Gmw197eJMGJMZMcIgIKEHQpIZAMZawBDZLDUNKkSKQtrPUSdHkZoCUUn7ink9JK8AOshQlOqLEwhkKCFNdpyihrmtmLsrSLRN7ynVRlhICCVQ1xtg0DRRMbAAXEdKugSFmSYgDIzceQhECX3391a844vAaUE9f+PwXN1xn49tuuR0ZKCXXM4e98uU33HCjGqSMZhnQV7zskGf+zbMTYKZZs/Bo0hguGJ6IHeDZxojAAXVqAMQYFWTQIgpHnlm+7AUHvsCUsgIMCexOO++0++FHHMFEbZPbuHOQQqSAOoAolJtaAYWEgsFAgKZsAIM736+jo6Oj4yHAQ9zLuM/ULAAAhrkTEZvDiWCKJgeRbDqTPYDEEAghxk+fdlqdgNIBFIXkZhXHHhEoYJjygsnezPS9RGagRsEMtxwIQsGzcqiLyod1KsoSyVASCwhJByuuuvLymTwxmzARk2AlsI4BwwEWlICIiMSyyIAAtelEUQ0HWlZS9UqCudfDrCRcRM6pQQwgNMO6kAaCIk5Mq/eEwcBwluPUcJAlBBYQMjlUs4TKYXWdrNaSgAwqqVEPxASoQd0lUFlGNyuLEq5NM4wx1nVdllXWxt2ZAwu7ewiByJqsGgoGqVkRjGBuBRBnZgYLJnvQhjgMa+Ki1wBE8vyDnvfCA16YayAAnoV1cqKEghgN0GO3evDJT31iqZcrgQ2CUTtjdQYxYAk2TbE31ByLkAFL1q8KZHduBR2aNFOyzEyvKoqilaoEV8ux6l999c8TqXodiZETrHBVCuLK1CRQAlCV5SyQAE9WmXMUhGigtv+Jyr/Gg9zR0dHR0fEXY813/v4YdL8/bg4FkwLZGjCDSVV/dPlP11287qIlD7vxl7e4+ktf9rIQe4cd/ebGPFujzewnTjk5hn7kqizWPfXUjzt02d13bLbJhoHpuz/40WzdiAjReMJnNNODVVU18Z53fGCi6j3+CXsNMGx88KhddlgYJ88447MokJFh07vttnvZW7B4vQ0nq8nbrrsRwLcv++6S9dZftM56v7zlVnUre5IMs0N1IJlKCCmlFx/y4rI38erDX5sVK1euPPQfXv5v//wvsYgbbrjh0nuXNrOzR73utVO9cp1FC3512z1mOPfcsybKONHrVVMTdy1fVlW9BVMTVudm1fS222zz0VM/rsbfvPDCGGjBggWHHvaanNvlggE1ARFzVZZJm2OP/3BvcqLslxdffHGdhhdccJ7EWFYTrzr8mCFw9Q1Xv/dD/2+XnXaIcfLwQ1+/YLIHmz7sFYdUceHeez1lts418PVzz57sTa479TCtgQbXXXvV5NSSj5748V122nmiv/jQI44w6Ote+5peOfnao4/OAFCbzr7v/e+anOqz0Kc/fiIKOvGE484666yp3npTvUX/ftm3AXV2VQcKBsooJx3/ge233/qsL3+1LBcU1YLzL7og57zT9tvHojrttNMCEUGPfPWhLz/goGc+/anveff711m8/nC6xszs3jvtGJgWrLvBspWzEpkL8ZRYKDkczqvnOOzo6Ojo6FhTeeiLv/shREysqkQQFqSErLlufnj55b9atvRTZ55xwSUXmdBpp53xo2uumVUTZmK+9pqrr7v2atXZW27/3QHPf8ErXvlK1/yZz3z8lzff8KMrLv/cF78ksUgpwc0zIIHBEnqXXPyd/Z6078zsqp122v4Xt97mVF597TXnnP3J6cEyBYTwseM++IEPfXDFqpVnfP5zH/jQhzbbeuvZ2dkf/+Qnv7n3nk+e+flLv/2dpF4rICgraSwbwcU+97nP/tu/vrtpBub5tttuy9p885sXPelJ+w2b4Zvf+sbLL//Jty+59KC/e96qlSt/89tfveEtb03uf/vsv5lZdcewXv7Fz3/hi186B46Vy5dy1Le+7U3HHn/iYa856p5lSz972qc9DWdmVn30oyeLcM6amgYiUhSpqYf18MILL7z++uump1fNzs4+9SlPXrFixemnnz6o76lzHib/5iXf9SjvfPe7PveFz+em+fnVP1/++xXHvvf9++y917Ae/ug/flJUPQDPfNYzpu9dtcfOezQziojtd9hmJt3xqle84Gc/+9m908uOO/Ej2e2kT33sJz/5roMHAHxwzbVX/urWX6xatcLS8GMf+8gt119pXp9y6sfvuPf3/3H5lV8+66vtvM0klAHA1Osjjnj1Lb+46cADDxoMV66cXvm0pz7doFf97JpvfP2CwaBOua6Hqy7/0Y+Ofu1RG230sN5E/+CDD777jju//OkzzvrcF3P2yy677M1vf8v0oIYCJAqAoPaHVl3p6Ojo6OhY01jjxZ8/ILD7R/b3rE0tQuqupggCy2VZHvHa1/YDPWyzza/8+TXMcTbVLsGrMgNqqYwEz21BqrdT3Lm98x1vD71qgw02WHrvcgOYGTS3bEaMsmC/fZ/x2D13Q16x1SM3++1v78lJ4GxpujdhDWBQNpJQcEA2iAjMJhZMHfba1wDYdPPNf3rFFRyEBcna5DQOHAf19CEve9kWm29FxI985BY3/+p6d91v36c+4fH7mts//uNrn/rk/b/0pa88+1l/1+8t2HjjDe9Yeo/Cf/ubW7d75BaTsuh5z31+pH5dQ23wsE0WPfM5z9r/qc8y8OLFiyb6xXpTC1aunBFGzh6DxBgBeM4ioqqXXHLJMcccIyKBQ4b98Ic/2PsJjyeZqj0d/cbDb7rt5mTh+S946Xbb7wjSx+65y1133HXv7wcHPvsgNNPggUJrIFDIOVdSFiJIAKyZvrcIzETCiExOhlQzLJkKgLzqsn+/+KCDniuk5ulf//Wff/ubX0igt771rUWF9ZZsuGzZMrWUcwbgBoMJCViZSUSaZjQ1YVVUEjg1GkIRQyirSgi77P6o9dbZ8OCDDwZbPZz98AeO22ev/aZitfceO3OgsipBIOLaVJGZAXuIp0l0dHR0dKwNPEQGswcudPafQcRSBABMRBQwHKAoiqKYrYerABdmEQAxlsPcKEEAZl5//fXPO++8j/BUXLTkhz++NpTBXd0yNPf7fZHYNDbdTG+76ZIVqyYWLRrc+KufDwYT6oxA6LFanbKHUMDLItKwuTcADt/i4Vs+7RnP0HLxXns96dKzPo+0XFWZWQFiDkVUuIDMYQBzqH0YCzGgaSxGYQHI2hVINClXMQCNDRctXHz1VVc/fKvNrQorue+Kd77znad98tQ9H//4c799xU2/mRZGr1cceeThd9x1e23GzDHQxz7xiY8d/5Gt9nzsJhs/7Jvnn6eZhNxdiRnkMcZVq1Ywc9IMGa18LCKMUsiGusI5Z2WmBcxBbWZmdpnW/h+XXRHe2gOZxEY1ByB7U0g1nK2jABEgKsqirZsZJmjEBEVYZuay7NUAYli16t7ArpYjg5GZKeemXWWlaZqyqswshqAOGS9VAuGcZgnSNJiYar8haG6sqqqcM4FgqWINYjcAAQAASURBVFdVyK6ZRMSRQsTGSzb9/vd/ik3WWVn5SqScHExukMiGzCAYd5O9dHR0dHSs6azxzh89WL3vauZmLB5YCUS4RW1EgTDp2XJOC8tYAQ24ATwNi+GKh3HTHy5jB8O++x/fOvNLZ1oarLznzq23WjcRBuXkSlSQAsM0McAi8GR/4q6Vd61qlt1x7y8WLvKi4KS9ITOwtEe/X9LM9msgl0tT1Y9bTNTozU796Ac/+d3Se5fddde/n/vlqgwZFcJURWXZADU0BzYK0EqyQTPgNNnLU6VJUSiGw6+ffv7eOz490AYeJgcuwYtCyyrbIx6x4NLvfgH9lHOjyUBNUVWbbroNsPCcr359SHlFiZn+pke9/r1XXfjdX1z4jUmdiQ7kAuWCX/zk5ytWzt7ZTOeI5BlSqBSehwXueeGzHnXcie9rwmRjVcjV5g9b8qWvfUoHJpk/dfzp2265bSPDmWpmFTJLuVDiEmn22HzxtT/6Hob2or998bpJNjSUWnHI0l91r6EOmGFPxYrNtl33V7feFh2VgzGr2QImp6abLTNW4uGP3G2fM8/8ApOAJv75n459+MbbKcqGCQmbxF5/kGaUVghqQmXZMQlfF1i4aL2Fv7z1P6rejGVAI6UihlnS35YYsk8NmyWraPF0T6pSpR4WNRCLBdtv8r1fXemUFqhvpBLzQAUDaQIoIiSjHDvp19HR0dGxxrPGi7//KpFgBs8ZHAAGE4qqdss5ByCmplcIguy4046P3G7HL372C1NF/3uXXfbEvZ904HMOmuj1qzA52Vv/F7/4JUCgCEhuhqAcGAAMiALSCFRaNxwGXiBx33himGeX3btsky02/fuDD33Nq169bn/j235x8z77PWPDdRcuXneqmlpv36c822I5Uzc5p16BKhpTcpiBAQmQAPQd0fInTz01xn7sT/7r+/51ch1u8jKi6ck+gczgHCcPPexNJ5z4uYrWW9jf+E1HH81uT3vms7bZ7bFTC9d7wpP3d62jwdN0WcYPnvLRV77hmA+ecPw9y5ZtvPHGU1U5MdX74Hv/v/UmFqYmx1gqo4FbYMSJpzz7+TPTw8VFMTW1zqXfuniXnXY9+vCjq37ZK6vH7L7bU5/4xAmOhQm756wuXAf8vw+97+9e8sKNt3j4R046ackGGwTDsSe/L/b737/ihxtutvjVr/jHCouhG++/7/Oe/Ywnr9df9JbXHl0PaLe99tn+0bt97BMfXTS5zkXfvvg5zzhgu222rcp+EH7/scc9fMttTTkSFQEzw1XJXFxCWzpsyQ2gduG84qC/f97UxOTChetcdPG3pgfTm2y40XMOOPjII48pQnXTTb/gGAAMU1MURShik9MHj/3QS17ykqIqYlGccsop/V4/5STEgOeUIodufY+Ojo6OjocAdOR5x9SxBrBwZsFbD3jjQl1AwhkqIDJuFyIzEJx4tNjtGqkXx4uwweAyWseVTUFkxNk8O1cDZydobirKlcggiUjIQLTpU49/36N3fdSe+zzDuHj/iR/bfqet9tt3j0lyy86y0I0N7SxwA8oBOouiAHqZMHAtqAkYCoqmUcSCqIxGyMDsqv33e/QXv/Od2FuPKOz9uP2+c+n5ixZUdR424Bgi3AMcRiJsyQshZENks2RmHMqhIxAiNYQh3EGlolJD0U6OokBADYhk9UGk0jIQQoIzpFRgBuhBQx6SE0LfCU0GCIVktOvQoXElMkKyelCW/aETqApA0IzcoBBQaY7sYEaCk2lkZncyBxxssLrOGssFgywhIGA5QVJDZZgczfMsyKmOgZHJk3sliVOCFuh7RgpAWjUZGd6uF+LQGiEOENykBARwxoyCSCc4Z5Se6ijt+iHiXKTWEU7DIgJqkMItEMMyLCH0oE0jIqNZ/FQdTiLZ1OAxRAPcVFgcTg6iTgF2dHR0dPx1GK9E6+7+/jM/dOjBL59Ev0RlxsQYr2LfLnrKbPjtrb8mmEfygqJFnuOveRH/i8yN2UwZsJQcAAucoABxQaAiaw8+GQJJmDHEGGDosUWO++7z9P2efEAvllXZ/+a5Zz9x772iF47CKaBd9Iug6jnDA1AshPbgSHk2EtU5EBZ4SkXBQuJOpoCqBz/w4EM2WLzROlOTCyfWOfTVhxVVZcghUD9wgAdoIBJhA6IQhhlGSA1TDCidwIxMMGdohAVL1uShMECAAKVlb4icgIIKWAhSeEaBzFhlkmwCCHAKEVEcTkhUI1AaDtvoZkooiOp6mhGpXCejJ1RCZ0lnwEBRaKOAkWc0dXCEOgVjAauSS1D25FklStmrc6oCBKBmIiuFgsCpXVJuCDQRyRsIiNnBhFJyn3MuJQegF3vucNX2u4ehp8riueScdZizkmFCULFkwExDLM0FFgEhIs2ZyKUommyQwhslgtbODCmhplIWEAEhpcbhFEK7eEn76dCcAktOiZ2oq/bt6Ojo6FjzeYgUfPzpENzcYixS4zFSqyccxKBCGPAm1xSiMAOQANKcm7TDro+e0QTzxpwlipB7QyCRYlDXoew5UAjBe9MY9jwKIQ2bqi8GI0R2mBRAIx4EEQEehdA/9MijX/P6Y4zKQQMIygDLiYMYALBq45SiRAZno1gEtCuwpYwQoBgkLStRCkyBAI4oPKdmRorSXRttJARBUQ9m+70egXXaYp+B7F4nGMlCNxSE4EiNomQvSihLQaBcZyqCePapchIQAydDwR6F4aRNpjKijDAn86IU1SGRMLEDErhRE2GQ1FYX3G8XcIOCEYOzYkgAFxi6KTWORFzkxkMZmgQBegxogGSYgUBUgBKImwSJkpUiuXlTxggXGLxWKlHDA7sBxBE8CpmXkTKSAgixSbmIFdwlkDsQ4GAF3DWwgIlCMFUO4u6uZo4iRMsaWl+ws/06Ojo6OtZ81hbnD2PzT8EOVkMsCFBmiDsas+xOZCBDEIQINoMDrjmUfVeBB0gsihCEyJyNrTF3kbJyOLHlbFAQKmOkhNgr4JaHw4KRHMZV3Tjc0WhyDIBZeAgBXnptEwV6QMh1Ic6w7MiOIlSFBMeAkJ1d3VAwigABLAvyVCUMNIbGMchwwC1XRYFhTSQS+kMIOfrVJAYNsknFqM1qCxRKIoGBMTTAPYppSjBSAYkkna2CM8CthZY9OgoDWwYICFxWjXlCzhkIop45sBTigmzIhiBMcPPU44JgBHVLLA6rOYhhotHYZC8ZBbQHhqsUMlSPBYp2mbiI2kKAM7GDjENdq4ukdq1eOLczdlsDTlwYzAMqh9Q5OyEpnJDVFe5wAzNJUVSAgwhkFGAGdcuuxFKnJsQIAphyzmYWY2yzBdqlfuGAdpM8d3R0dHSs8axF4g8AEWUEp8AMwMwSNCErEzHTqmFqQCFEcUjW2C79SgAxRUnZ1JK759yACBw4lgDBXACzFAKDRkXHsYTnIZIWRZEZM4RpeCz6SA04q7kBAREUkE0K1mzkDdiRE4NKCqJABiNoMoMxE0eGaNIGYkANSYQBQYVBglhgmEykgBOckJmyiBVJ4cYIBfIQcI1MxSSSQBk5z2bUjJobUB1EgstAkYBCItyQHWFcRJ1cVK1JdW21SwMEDgIgSgZnpgSvYQo0GcwgKKEJcM1JnBgEzQxFtaxOs+QQAhGRW6Ex5CJYAadCiDWBa8RBIkxnOElyTTk5FVSWznCg8QGBmUpSAgzNCuiMmQmQDCShaet5ABLK6oTS3AzmrrAMuJuNHwkREjUNsQCgqkQUQhCRbEpEZkbM8DaFce36vHR0dHR0PCRZ6wYzAwFwJEBZBGAfDPfefbebrruu7MWvfP3CvfbaHwoAblmRLRZKyIpYMBMBkFAkWPbkcE1aQEi15KBuiVA5coIDRLpy6V1LNt7ocU971oDAMMDOvuBC6U1N9qrPnHQickpgCDs5IlsIcJx7zjl9qUqKm633iBV3DpC4jJOqAGA2BM2ykHkDVoDdClcJABQEhMB19pwVrLvssGW/oE3XX2fZsGkIeVg/btcdJwtevP56d003Gibu+s0dW2655ZOf/qxZg8Ngs6942SESF01VvW+ef6G5QBlCdTIlIDioQTOz6667VgsWTa27ZMWKmgz33rVs3U0f+Zgn7a8QAzMYjqoAOdwSTIX8Iyd8OHD5nYsvCSHqcOh5+qjXvHoibHjDtUsDATmBHRydg2ViVeZ09TWXU9mv+vFNR77aCIBde91VoSxe9upjphXt4igJas5AgCXw8BWvenFRlJHWWbDOBjfedMuNN1y7zxOfkCwN1Q9/3euPO+kkpsAgIk+mIKIYcs7CILjDhcVN1VREWsHXZvexCDOr6Tjg2yX9dXR0dHSs8ax14o+ABHeYYxTBvHfFyi222PzKKy+3jGZm+JhH7TkcDC6+6HwJsV8VLz7slQ3w8+tvPO7YD2+77dYxxlce9ppMNLBspCEKGrDHNiDoDCZrXJWw4o7fvO2YI75y9ldzUSnQQ7r2qh9/8ORT7phphoOZM0898YZrr5kG3BsjH0KHRFni3zz3gNk03Sy7d7tNtlwn9u75zfIXHPQys1LdTzzxA9+99GtXXH3FSR89ecdddieqjjzyn8QRDYXD6swEF6EYz7ngax856d318PZ3HPOK0794+oqUX3Hka4876fjpFXeffvoZ//jmd95294pj/vmfP/PVL2uMIATLF3/9rD0eu/tdttxXrPj3S7+zbGWjHFLKRcHZE6CwmVe/9tAPnnzSoK5P+8Rp//LGN917x+//8fVv+dr5FyP2ZpI1rgQPwCEveumpJ58sDGZ8+Phjd9hh+3/4h4PdHe7C8oYj3v6Gw4/afZutFhalKxASaNUPrv5xufiRy1YAuVl6x63POej59wyamekVE83t51zyvWuu+flHTzr2s188s5FiWtubWEfIbONggiXkekG/d/31183O3vv9H175utcddd01V221xaY3Xv/z3y9buu0OuxBX7MyubiqRFaZuIgIYAQxiQFiEuJ0MkojMjZkdbnAS9lGwuMv56+jo6OhY41nrxB8b2A3I6qpKYJGJyY23fPjKVfcu/c3vtlyysdbDO5fedepnPjlTTw9mcyz6F337splUv/1f//ncb543MxhecfnV06tmyxCzJWBcM0OSc2OKgc5IIRlYuN7Ck07/xHqLFpqL1hryzA+/fckx//hmijjnnHOu+fnNv192z0rAAxJyAgyUQTAgZ+YwEXvNDEruF3FShIlkMFglkhCKN73tn7581tkzs83lP/3Z0ruzNQDlWHhTD52QQc8+4NlPeMq+0GaP7bYPuV4xOz0siu0e9xirwpvf+k83/PymRVPrfPr0M+JEbwAe1ghUBjMRysDM7+4++ytfv3Pl9LLUSCkEi/CcB8tX3j1tM3s+8YkDxXvf+Z6br7pmvXUWf+azZ2QjlrKMRUGluzGhX4ogw7NpffRRRz3lqU8dpqFEgRlC+NBJp2+1xTYTHGdWrAQA0uzTRS8oqwQHN5f/6LvHvOmtNeI111z/hdO+cf2vb992h20+dupHhLWR4AWSW3QCNJbkAjChTv3Yy41ygaxomiYI9nniY6659uprrrt2p932iLEiAo8mAHQlGDHQFmoTz00S7mjreYnaBUTgIG+t4j86jXhHR0dHR8cawtoi/uZW+CgA0kaRhYRFHFhe5/566270sA2+dubnNuz3F/f73/7+v+/91CdJrMT4iMNec921NxST/ece8vyNHrEpgjzuUY+99/a7gyu5ZjU1gJE1lyFWgihhRpMDCITc1DOzNttMlkKaPTVitNvOj7/w4ovOOe+Mq667xoGUjcGEHAE0CRKQM2I5M1vHgMChnpnOjSocRdEEGeb4dwe9aNutt+5V4VG7bT+98m4u4M0y0HQswYCAkADtYTq+792feNmBf1eaL58ZfOmCb/Y32OAznzszGsnAYp1s2IQQNcAp7Ps3z/7Iscc+rLfw4INf8qT9n3zvzKqiLByE7IwiSHCrQfVXvvalxets+KlPni6QVatW1ZYnpaKkw5lEIBA57NRPnHroaw5Hk1hKr5OlPDExMdCUAiVm1Wn0+pqFQ6FtFB2Tj3rkjivvuaXqN7DpIFTPzBx51FFvfNs7LvvxRT+9+gYG+ezyiZ5k6EyNglgg7K7AqtTAHR5WLFu12267lb2F++yz79lnnz3RrzbeaP0Vy39/xRVXbLbZZrfd+hvGaB1opzYzs30sdLWi81Exb7uVxrIPwEj/dUHfjo6Ojo6HBGuF+Jub4dndoShCFEiCu0GB39yz9Jbbf/v4fZ7485/+eJtHbu25GeThwL0xjQyaTVWsEtFQfAADcQDRbMPZBU6BB4SGEGKEGxp3YIFE94xQwKRX9nsBTcpaFjXxwQc+77yvfOUjJ59yb9Idd9i5zGhnHukBJaxioKlRVa4WFy66d8ac0tRkIDQONBRWGFExOblwcZ1q8gY2ndMK6Az1CsCT1gINyISAVbbfvn/38U+dve66i1A3P/7WD6744dX3Lp/Zeqdtt9l+y4UFY5DXp6JvpIqVTojVz6+42let+Nr3vi39/habbxJhnhuw5Ayvc+X47gUXf/fCC5etvHPrXbbYbo89qqleESD1cJJiv4gOOCghexssjX3URnGCi2IwGKj7rOkQoDIBDUAkoSE0jUF7yLFP4EJQFfDwpqPedMjfH/CN884ZlpM777pbapSqMg1myuBFgBmAyBQaszIWYEbR7/cXXPWzq2ebFSuW3jzRq2687tp+WW20ZMOFU5NVEate4Y42wEv+hxy8B8g675ReR0dHR8dDlLVC/N0HhsMNxAgOZEco4vY777JgwaJTP3sG6mkR2mrrbb52zjlgT8P80eNP3G7rbXI2ioHABEfSqbKHpD+78qrA8duX/cAJBgURmDhTUO8T2yDBJGcNyCSYhez3rOe89CUv2mmrDc3sn9/9/odttMn6DBjEENQpZyguPu98kP9u+e9/e+9d5UKemAq33HLNcLDqxptveuc736Vhss5YOT2oYh9qQhxj6SiBnnoRpccwS7Mrl9656247fupzn9pw6yWzOnj4RkteuP+zjnnJqwsPF156EfUMBcAIs2mqTlUGESFOoqgwqN914skN5UVVWXoOUgyyI4JC1Zva4JDnHvSOY94QgK9d+O/L0kB67Zq/uSBFNjVN3ijsFYe+8uSPfhTJECZQO4bq7qGIJfcckrRBPW02E3tkAShKuN56w42xWHLPNGpM7bzH417y9wc8Z999xdKxJ35wuy02L8sKyqYp5nqRABkwhnMAGczM4ZTcwZQN7uiV3OtNbLrpZgcccMCh//DySGbN0AzuBARCnLMAwTT3xQAA2p/dAbh7WwvicIKji/p2dHR0dDxUWCvE39zyHkSEDHggCIHAYIbmJiIwFygi+tX07MymG212xCsPX1BVEwvj4x6/15OesCc5UfIIGg5W9Xvl9PQ0CDvtutvW22//y5tuZoBhZhkMkSIYoMShv+Muj9lz771++O2LN1q48Dvf/eFW227/yK03C7Goyt7/9+5jt9lqm3YeFRFiZiDC5WGbbc5hatNHbPyhEz4wtRio9DkHPHP9dZe8+tDXHPPGd0BDv+QyRCA4IqhospMEaCmYhAncIfyZM07/5a/v2GGPHeIkL974YauWrfjQv/y/5+z/jMjle9/3/x17wvsGmN1j950f9/jHfv/SC7Zcb6NLL/rO7+5evslGm04uqK795c0nnPBh0SQUUpNJKMEhApRv/5f3PnX/py4IxcknfejEkz88Ww922nHHPR+z47cuvWDxoqnLvv0tJhLQsKmJI6RAwsUXf2dqwaIvfOErT9vv6fs/eV9r0sc+etrkovVvvPmKR2yzyT8cdkSCJGpWpumpddcbDMRRrbfxFi983sElyYT093r07s9+0k533nn3VlvueMiLX/Xlj310Sbnwd7f9OiuDpGKKIOKAyB5FYnRFcBAMHJpMZhyZo9hNN17brlAIEnISB48ln7ePxgNkXZv8x+NPCI2X1Ono6Ojo6FjTWVvW9l2NAQSj5IC6MZUGOFC0y9E6m7pGaqAlGzAgW5AAYwAgTPdQYjagIPNZBDn00Nf//XNe8PRnPBEyqxBHCXhwQgYog5oMzlIBiJ4ZNVHhiHVtZckGJMsVsfmQufAciABJihlFj1EGA6xBGMJ7maIChDqjJGhUFqHcTq+SQQAYICTLQRipIQAhZMtZuNICCSCkEgkA6p6BiKEEDk0DqeBAgMF0yJEAwF0pSnuzE4FgAlCTZoqyUCc3ESHzhqnImkXE4YACRiBCAQMAzRoKV61FCliA04CW9aiHXCHQNIFhJRI5ZRROEEdQuGcKAYCnQZKeCGCzwm0xcXSCOgAIQAbIwHwWVDTWIw9BwDDLjQSBKiQkgBDaBzfMLYs4erBB84t4HfC2qhfuvjo70J3GGYGd+9fR0dHR8deiW9v3z6SN7BGEYURGyAIEA4ggDAEXFAh9FkMimDKIIUAEehCYoyAwbvzVL6Wsdthmu6c/7YlwwNzBNaDwxgACTAAOEiJQGUSJwIANci4LJoXBlRneMFMGJ4YTtF1SAg0Bng2iAAORFKWjgAtmCzgJtcFPg1MwaI3cAMYSMhihglSWQ+Cq8gKNQaAlBoBD+wCRgdAEJLKiBLSd+YbAKB1wdZAJkoNg5AnwmmmaweUE8qxYCm4AlIqE7AKHMwBTARjkcCUogwpxQCRADUZQEMMpgEkVBSBgs5IpRJotUQdv58gOQ8rqIOoVBHM4V24MdaSagAbIc26cGZFkODMCA94QTEIBZ3AAnKEE4/mFHeOffV4xx4h5JjGPKj9WO8cdHR0dHR0PAda+tX3bNVrbRV/nXp3TwPPMnQJ9oC/3eXfPySEOYJutdrC61dftCmATYdSbDJk7VgVA2uOzAD0A/bbLBREUQeAK7Ru5fbkAitEBCm7fAoKMXqrKcVPGDSOAUJZzL8r4tdXCvsftpgVzu1B7gaNLFcGoVxCJUM4/NhjUB1ACo3OEhXMbC2D+IyRczXUnr9ZLAQhzh6ywuG2FzF0CA2BCf/xz23FhLuYa2w1czt2m/n1itRPjlrSvFPMaP7+jVvfW+Ee+/9P/wODv3E/c6b+Ojo6OjocIa53z95eCxvy1G9LR0dHR0dHR8V+gE39/GXxcIvrXbkhHR0dHR0dHx4PRib//GnNWn5n5PO63taOjo6Ojo6Pj/yad+Psz6XReR0dHR0dHx5rIWlfw8d+HiNx9rlC6/bXTgh0dHR0dHR1rBJ3z9+fQSb2Ojo6Ojo6ONZRO/P2Z3Ge94I6Ojo6Ojo6ONYRO/I34gxruQYTd/CXjOiOwo6Ojo6OjY02hE38j/qCA61RdR0dHR0dHx0OMTvx1dHR0dHR0dKxFdOLvf4kuNbCjo6Ojo6Pj/wKd+Pvf4/+U/vs/1ZiOjo6Ojo6O/zW6ef7uT6uK/vvZfv/3J//7S13pX5b/m636q7BGrBxzv28R92vqn3EJ8w/4X33X/+WO6ujo6Pi/w1on/v4zx6sdNuZP4PLnDSTzj//AAemBh/1TCorvt/9f5PU/fYeO/33u91T89+/Rn2L0/mfPz4Ps/OCH/S+5yw9ebv8nXv4aIZc7Ojo6/up0Yd/VtCPH3Fq9f6nA6PzFf/+M9vzPvf6n79Dxv8lf/Hb8iQf8r573L6L87rc69n9ztz97/46Ojo61irXO+aMMD6gJDCoAqIOQyA2IBDaQOxiZXECAw8g5K7IBgiAe4QAhkzuMIWKAAQCCKVQ8ggCCAgYHiIAAAxJgQHBEA9hBZEBtFAUMA1gNmlACVDpgCnK4ZIYjMVxQegYRgQHUDjgCXFqPg4hgDiigIAUCEGFITAwTOAFwBmE0HpoTZwBORQIARIBgyIxgGSkA0AJEygBMoAApggIFADMwMpiQGQwwAaNDO0AAmY86hhkgB8zhcDHc35jpvoHMw0EgtF8/5u7s/Xd54JscMB5tYYDdR/sRtUcwwBxGFsCcAQACkMPhTrk9lSPQ+LZB2segRPtkUSIAHuFtwzLIYZEITtkxZJSwmGiVIDKK9jEFJcDgAg8gAAYoHPAwujwhbx9aEHmg9kWGuhkZwRnMEKB9b8ooCWDk0eU5gwxonVEC2EA26hVjMNm4t7jzAjs6OjpGrKXjLmM8EhABICKZewV8v8GVEIESKAHB3KAKQjsmUTva6mjMHB+GAQIBGA3JxnBxwOHuaK1FuDsah4IYHlsBxgDIQAlucGInIAIC2Oo2gv/AvSMa/fljt9V9JD/by/9Dx2o7ifCAEfOPPzHUnuCBx/sDR+v47/OAzjbAVj8L4z73VpW7u/u8l//QoWi8IwiUMHrkA6Cg1B5r9L2RFNT+XDjaz5WMnpH2MXDAafVXjvYshFELRiqX24/CnFXnDqL24bvfs8nja7lP81c/WO3h7tMV7R7dk9fR0dGxmrVP/PFoQY7RlVNrrRBad6p95T46pR24mMEMBhlIW3NhvMRHBg/AjUPHCUcGWDuMERzIgLmLW4AzYCMnzBkIDgXa8RpwaVvlUHAeWRjenoodSshzZ3UAYKN5Yz/N/cOjX0b2izt0dKKxrzPfT7qfFDAQQeaGVAcM1jpR/gdcpwfwB7TIfejysf4489aPefAdR3fEaWyPeRvzvP9u7nBurd/RTqtPRdQ+j2jT+NovKG3c1gHzVkR6ax/q+CtD+5nR0VsQHeyuBGEwnN3g7fcQJzi1pvT4pA7ykUQcuZtCJHNr5Ywveiz1vG3VnDS9b4lJ+6yiPQuPPhiw8Qecum8dHR0dHfdjrQv7tpbGaHQxzJlbIxHo41DZ3CA5etP4x/E+glZMze1kY7Ov1XHMGAdA239opOsIraoLraojyNyQTND2IA4mBNDIWaTR8QGSsXzjOcFmNBr2xzKL5/2NVmOODkPw+7iTI8Y7PPC1ViU4QQgOgrSj/XhvgvkDx1Va3WHjI9vYDfrjS+F10nAE/6cdQQ8Q2LxaLamjdeNkbqu7ggzO7kTUWm0AxkkJc7feR0/32JYjmeeCEwEI7VNE8+pxW3+wffacGJDxs93+xa21Pl9uOuAwAbdvcxCPRds8W719YngUHQbgTBjt5+7t95rx0zLnNbZtmmtzJ/s6Ojo6/gBro/jD2BwDRhGm0aZxepDNDVSrteDcAOnzTUMAc6lTOk+QtYxdt3EsyufGKmtz7oBAkLEuTCAliCOaC5MAGWRM7MgMhweAQMlHIyLZHw7djQdCAIQAAsjnj9ftXu1oDQBO82pJnWx194zG9VY2tj/d55w8snP8/g0hOLjN8rvP8PsHGrz2ec8Pzp8mVmjOT3UHZJ5kal3n+0hoorFnRgzKIyOvtZVpfCgfBVhp7laDCNIadA4ACsgox5SyIxMCeTAArSeNCJC1CaxtEiKB25QKjBJABQxXkBlAUDbxue9E7cWM3G6m8cdltVkIwIRY3R3EBpv3TYLHFwh3RfcVoqOjo+NBWfuGXkJrGtB9RpV5Rtl9cqRa5WeMxEhAgjOMYQQkRm4rNdyCe8R4pJw7EQCMLAo2wGic6jfKcIc5rTYtSAlZ5oZBtOl/BmQeJU8RHOOg8/yxzQHYOGkKvjov0WHjRMSxml2tYV3hNicM5yLM7COXciQMbX6UrfUgffzT6ka4zosjjnrP4dQm+GMcl7v/zVj7Hr+/APbASPp82iw7n0utg41vO8PHdvU4fdRHMeJ5AdbVJ2C04t5BUHKMklbdgUzIPhKQIFirIG3uUzNWlvMa3ZYj+eoXMN57nH1K5EQ+9s7n/ESsTlbw1h1vP7wMjB56m6tiarf+Fzu0o6OjY21jrRt9xyFYmif+vB1G0I4lhLmxxN0BdWQgO9I4qjR3MB0pIYfb2EqBWptB1Vp+zrDQOhOGccTYGWROZkCbHegGuAAgGDucWkdN4QQPDnZnHw218wb+eZfgrvPntvC50XD1L67zhABGw+6oDLi9dL1vSK91XgymNhIF7k6jfDAfe5pzKfkKaLtlrsLS3anVme1lAgZyn/vzJ2QQdjwAn0ebGDqqk5gXpfXxA2hQg44LKkZfEmDj7xM+ZyLy6NEfR2wd7jr3/8P8wov2jKMgqzvcxBF8/kPXHmSUENG2RR1ORu5z5vfYfx6lwGL1RwQAjOYeZsKcIgSMYA6esyoBuJHOpWGQtZmK7ZEMq6Xh/N77szq+o6Oj4yHCWif+rPU12nQnGtd5jMcJbzMCgfHA5mZm5u5MCKNQGK2OMqEdI3lcWuGj8Fk7fYYjwQit/oGPijq8LYc0wMAg5HY0cxNYgAHkBijUWmnlIBN3ctdxTfHqoes+Ig8A2O470o1y+11bOWqjOLTOxcvmOsZdWwXrbejMR8FFd7eUR27iWHOMNITPr7s0mLu7mZuNpCiN6wba8XZ0NPicT9kNw/fjgX3i90Hn6XufM/Iw1vQ+L6Nh3m6ubj56g7vrXE2It5atAyP/193VoQZTdzI4GrjBCEYOMxqlD5IHAEbq7ZRHGmFkngjWyq+R7+sGd7PWvW5NO6a2HrlN/WsfS4ObmSdFVrh6bo8zr+pq7NXTnHfZbrA2rcEN5uMvH97WNrGv/nisfuT+Irepo6OjY41mbRF/86VG1gyyNveozQnPTXJ3ZgYTiAlkOQPgIMwQjowSWmjDIFOvATMFXNzNrTYMmbNbjgARqarCM1KbBGijf3PCrBHU4BYAN1cCCKRqziBmaA1ymAJQkBGZ5zYoxiStMAWgmoiQs68uUAEBxsxmBkebUWWW220whyZNuU3nao9jlttKDs2j6LYTOzhDCW6a2qhbNhOSWIiZQUAOoWAEb51ThwNJFYClDMaoS4UAZmJiolYzEGUHCEzcvgomYu5ys+4H/Sc1MURkZu0mVSVy5rn5UBwMM6g6gbNaW+BKBIcREYMZxMxEILBhNJOKk7llEHmTspoTCCRC5tmQeZSKCmZAra4TiJusADTVYDQpA0LSVnRAVYXIoRAgwl2ZoKoAWDjrILbfQUaHHYk3g7btcyjROAOwVbKmIDSN2ej7Szv5kbl7+8Wt/XYBtbkC5NFXI2bLBiKQjGe8WV093dIJwY6OjrWZtUX8zQ2oDg8SAKi1FoJBNRaFu9eaFTA3zakIUduBiyw1TTs3RYiSTZll2NQikUjcXdgJjdogBGidTZUlGNq5mD3VygI3ZMzG1rUQqHGrjdRAEGF2QG0GnKB1OwIqOANEpmkGbSa7CVEAEISzDkUoZRdGSgkwJnb3IIEFbkoEZqSUmuQgg4QQ2IEmQx3ELsQBbDAODCYzVW9z+WLdDEIwINepES7aEVMioAoOKSkgDjAzzBgIEjRnDuyaiJloFGUkwHMGCOSqytwGzn1uvhh/QEiu40Fw95wzEYmIuaWcCFSnJpsCYIaZKUSkyo7sMKB9KpIqQETe6i5hafM6s5kQkDKFyMytr+0pR+IArpsEhngBSyR1VQUAhAIgKUjTLHNwIGewAHkYgxCEQOo55xQCMywIgQyaCmGCh9CmfnoA3DIIgqBtxa9nhxrYXEhiq9Y0oywYoNk0S4HBgBlLrBOIoNlhCiEitA+auplluHOMap7m5lDCPLv6QXr4f+EudnR0dPwf4CEr/h74v/x8T8XMJIT/n733jrOsKPP/P89TVefc0GESYcg5Z1DXDEgQzGHVNQsMOaiY2HWNiCg5RzHurq4KknMQFdMSh4GBGZA8MLFnuu+955yq53l+f5zbw6Doht931XXu+9U00923z6lbVX3rc58IwKoIMNRU1TlfQcQ08yFVkaiOHoohc1AFYArHoRejy3JAy6Lr2CVRR8FzBmXnPXOo/bUJ1ospZA4GMmUkg9x535wPfOTj5mCgmKJnwFgVTHDOQCWsJOaoiAbAEcPlvijG1ZSZU0JKKlJ5Z8QxcxQjgnMKibFUVRUzhc+oih2DZaHhckpVhVgdccihs2c/4DyEwcQwmCgZi6Fb9Mi5++6fPeuwIyqTPMtMeqDonBOFKggmqUypsEpCCATq+9eknzLsHIGYvO92Oltvt93hhx/JTKqKSSe7mSUBvdCtudKD/Aerp6t8rNasuo2dc957VTUIEQUfRFMWGkRWxUoVcC5Gi4lMHROKsgCUyXP9TkNENSZEg5HD8m7XOwYxqgQzBSpDFCMGLBnUOScCTZDYA6LFqizADpWmpB0XHDhLAudgVQlPFktNIrBKjbJQpbLX6xJ5A8Mxw8g0RqgipVRUHWbuW46jgECeRVIUEXNmZKpm4jzKCAGy0BCppJiAI5g5RkwIwaVUSVnESkNAMk0pescwQzI4kn76k+kf+NNfJAF+wIABA1Yb/mbF3x/rUu9AakrMURIA8gGiqNKhhx4aMh4aah9xxBGpKL3zjl0EDAnWg+/BlUapTMKhSfBVinkjwNS7HMitZJSCmGAQiQki8C60+7XHuPKwBIV3+VBLDUC/vVXR63FdVkUSUjzvlJMD03B72pprr790+bKyKq++/Mrh4dG82Z46Y43l4+OLFi1Zb/11fd5yLhsdndLrdGpvr/fsOLCrn3VkEpFUllEBn2XWLdp5I8/zytArElA7x+qyHfCNZiHRnCcfPAUgUlBol8hU4ZhUo/PweUbeSYVY5xMTEIIBKQkxA5p63Va7ee+99555ztkGqCo5j1TBkvfMDnFSzaw8ietleuEpvJoLvj/69EXEzGr/7913300choaGmF2WZT+742dgnHrqaUPt0eGhaUcd+XE1NPIsprohhwfYNF191eVDeSs08tfuvmez3VIYNB1zyMHTG0MPPvQICOTpxmuuyX0rc/kFF1ykAu/hvHv43nuGW+1bb73DCNdcd20W1s4bo5kLZ5x1ERHmzpk77Boj7fbee+1eQSvHBezAQw5tt0enTZ8xtmJcVE868avN0Gg2mzfefKv3fPtPb2XO8uG1W1l28cWXmAKavONZhxyy7+vfNNGpABofH19j+sw9X/fGXgmCE4m77LpD040y++tuuL0ubUiGXXbcaajZes1r9k4it//idnKt4POs2Trz7POJnt9v/+m8D6TggAEDVh/+ZsXf77FSbZgqEyeo9U1TgMopX/961sgXdztjE50Lzrug6PY+8O73lmUE6KSvfeX222545vG5B3z43V/68uebrea0GWsuWrb8+uuvPe20k7fecstA2QEfmEUuoEgv337HodCYsca0Fb3xRxcs+OwXTnj/Pxw01OB99/y7ie74QYce9upddvv2xRc0slajPfL0089JtEYDrs63NAfhqaNTHpp7/7LO0k//48d/eOkP589/9KSvnzoxXvV6vUWLnps2bXjmWusseObZL33p2FtvvXLFirHRkXaKGpiZWFLSBGJUVeeoow9tt1uNxtC1N90y7+GHp05d+/yzL9hum22mtqZ88jOfTjEe/MEPDbk8UHbgIYeVJgccMuulL3vpd77xzabPWu324/Nmn/L1r9x6661MWLx4/AMfeP+K8aXQtNVmW7Vao+3W8IPz5pYp1lH7zGyqMEsp7bD99s1G4xvfuASAc85iPOTAg1r5CHG47qZb9IWivA5Ze2EdXl3Ng7Fs8mMV+vPjvU8pAXDO7bLzzqbVxIrxqDrr0ENmzlzrt3f++rHfPb5sbHzFimWN5vDSpWN1blMS9d5DiZnf/JY3jHVXFEXx+jfsf9o5ZxVSHH3Y4Z/5xCe33nKrkOcTCVWUa665ZnzZgmefe+Kcc86Z6EaJnTjROeLQoy688JJ2u9ktLaV09tknFr1u1HjMR2f1emnWQYctfW7Z+Njyc8855bwLLu4le/+sWe/90IdM7dkFC0emjj694FkCep0V/3Hn3SeddnoZq/GxsfPPP2vpimc7VXXkEbNERGJ5xZVX7bjDS7bYbHvvsmefW3TYYYdde+31ITQbObqx8lm494H7O53nli5b9slPHLdgYacoqle94u8u/fEPy1TcfvuN3vslSxedfe7Xo8Wi7B12xKFxMg9mZajfi0z3gAEDBqx+rC7i73msrj9HTE5VIYKivOKynxx//PHwri5ZHLuVM4oxGpDnWUxVu92+7rrrXvWqV433uv/8uc/dO/u+MskXv/DlO++8s9frzJ/30Pjipf/6ve9c9sN/nxif+MUvbv/YJz7eGp528Tf+7YCDDproLd1xu00XLlx4yfnfveXuu9936AEd6S4bm9hwg42ZDJpELEYl70Hc607EWDqGQDfceIPp06cvWbJs/rxHCHCOE5IJARKCxdRJUqHWWJCklfOeHaDp1ttu2nyLjcuiUIl77rXnxhtvPNZZesCH3zfngQcWdsdOPv0UVb3wGxdPVHFivNseGpn36CMXXXzJz37163d96IOdVPU6yzfceGaz5WKqzNDtFmbSamWnnXrSBeee3+su73UnNtt8C+89zGJCHT4PorwR7rrn7ksv/0lRFKqIMV511VW77bZbN3VN47577Ul/zCK7shrNKh7hP9+W+Kukn0++ynSpaggBAIFSjACcc3fffTegW2yx6QYbrX/rT2+rSl24sPfsgkXDw8MEc84F51UgYuwYkIZrqKpv5pttuYV34cxzz5m51sxGlvXKAg4+c6edc1beaEwdnTI6OmpmLuPPHnfct77xrSkjU8fHx70n8k7UiEKded5o+OC9RoXhqit/MvvB+SuKuPYGG73mNXuKGDELsM6663/y059h59ZZZ53hqVMqiSPDTbHUD4YQeOfmz5939dVXH3r4Uewaopg5c93vfe97zdZQTNztIQ8tBoOMs9Dp9LbbYaeRkfbcuXNnzTpw0803q6sMOVCe50SAGXiy9uDkTOrvTe7KnJHV+83GgAEDVk9WF/G38hBl50QEoFKj9x7sOstXbL7pZiMjI3WNMzXVJHkIzWazhKgliHlq7bX7fq99zZ7B+aOPPvIVr/g7x+GrX/16q9XyOd3+ixvbbTrv7NN33mW7dnto1513dRmXlb32tfvutttu8Gn99dZ47NHHFAyjUorKEAIzw3uGazhHWWCtekBlUu66864jWXt4ZPruu++5xhrTZ99/95vevH+et6+7/iaCJ58BAJIPzhGj30gOnn1ZFHXptu222eKMM0495JCDNYEA5xmahlvtolcyIQAhhJuuuHpalk+bNu2C8y9MsMpiaOQEp0BMFUgllcycFI28xcyi1V577bnP/vtcdNH3qoRkwmAwBw8isHOwRN4zc1VVzjkwsix7+ctedvxXvnzoAR8W7WcV44VmmFXzPwbUdUpWLeCCvkohvFAQ+xBSjCD6xje+ecQRRxCw5vQ1brjhhq222u6DH/jIxRef79iJChNXVSKC82wplb2Jgw45sNFozJ49+3V77cVgxIg8dCc63mepLtAYE5y//rrr3v/+949Oya65/KrX7bn7ultskAVynNeJwsd+4jji0GpNeWT+MzHi05/8xPrrrzltdMRxSEqPPPHU0wsXf2TWoc3G0Nprr79wWUegiALib333ex85+KBWozUxMXHkUR8bGV5jdGTNhx9+IlXxnHPOOeussySZaWCGiJFzZhRCTg4KJMjsu+7KwrTNNtvsi1/8YquJJx5/fMXY8lfstlsj4733eX0v9phx5JGf8j6bMmXG7AceLbQ/aYTnzX5mK99rDBgwYMBqyuoi/rAy4SNJcF5MAoc6ndcR33nnnWVZGuDhMelfizEyHDNnodEZT5kfLooUVQjIfRAxmIcRtAKV7FOj6Rc8s6jT6ZXl+FmnnWXkklK77SE956Gq0Ywc+8zVTatUISJIMIOYcGawotVq3nfvfT+/c/Zdd85WBbHAyUMPz+6WE9///g+uv+5WqAJqUNXUL/CrIJBZyhsNS4DZuuutN/+Rhw8++KBmc+S0c88n76HWmZhotVqVogSWLFly3HHHPf3UgvEVKz5y0EEKM3JlWbJ3BATvQMkQ8zxHXRcQwszb77hDGasZM9YcGR294447kglSvxND7BV1ZWcm9t6zdwDKspwxc63Hn3zqox/9aKvVuvCii4v4AgUzMLqsyn86Fc7VvZ4VgIoQ0b333lVV1eZbbmGwu+696/3vf/9jjz1w6qmnr7XWhhPdrmMHIMu8GVI0cpQ3mxdccEFVxaOPOeawI4+YTLWhOo+kwSACvL/x8suvvuLKQw89JEYc98nPvvd9H57enPHWt735LW95+1FHf3b//d44MbHAdOKXv/z1rEOOguH1b9x3YWfZ0uVLX7/3fjvttIvPGld+/wef+afPlmXn7HPP//Fll0cxeH/OqWeEEPbY/dUGvP2db4+xM1YsuuOXv/zoRz92xRVXXHzxdxuNGTNmrPmNc89dY8Zm8+bNA1FVVWUZ0W8N57bfccdKlq8Y75x++hkPzVsE4Gtf+9r1119bRNlvv/1uu+22/ffbX6rxsuzdctvtxx57bBl/f0r/2CQP9uGAAQNWK1YX8beyzp/6LtDNhTJh5gCPxkz+u1dt+t0Lz2qnnBRO3ehIeurJu6uJ7pw7n/j4sScWGE6NvIteqxmG1LUMGQoKyyzvVpwnGYGMGrmNd9jsZ7N/CU9GzqPTUGtIoKqHsKTj0eONWGiL0ZwW3JGnpaVhnFA41mBE0dkEAM3ai4iXO9lu+02muKEl85ZxkQHwVBGqbXbYkYdGYjVmIMNwtHa0LAlMYamJlINKhNIcFWUj0Dq7bv/Ku37587sffnZZqtAut95xo8fmzxliGLDc0tYve0VzeEp36bKbL/9xU6itfvNpM8LSp3s9qEyFrLvFlq++8+77iPGFz3/66SefgbmIMnLnje/e53uXX/mr+x4XCgiclXAKynNxAuqaLm34UoseKUIISSsJvPGOu910x92z75vvS4xDCwBGbOQUJFbnKAuQAMCR8WSxG61Wp+SP+s0JwzEc/ZEeZWZW13UxOPb+wosu+ehnvupjCNIde+7Bv3/PvsFjl83XPuT9H17w7BMVxufM+XXDu2tuunUiQyJBGm/0lipct7FGRxq5JVAFlSIMK7V80oauOO/U439w/Y1fueg7S8h6Tb3r4YcW9x5dUt7x/WvPuuymfzvtnOMbsEwESZ5+5OlNttx5eYaimZDp2IR/41s/ve9eu240Kv987MHbrjeVqFr41Jyt1x5uwR1w8DFlMz/i6AMDEqFtWAviRpFmP/XI1M022udd7+hWhVZLVix6+ugjDuotmL/V5uun4ilqLwvtXlPQLkDJRwK6RNDx0Ov58U02nPH1L392eK01jenBuU9sOXOrljSpVznHjz42f7NttvA5BSOnRqrcL6bZrzHZ7zdI/dLueLFohAEDBgz4W2V1EX8rITRSAiBgiNQNObLzvvmt8y86f2RoaDSfethhhyNvvuNd752+xtR//udPfv7znwUQfFOUOr0JsEChSoy8jMks+bqys2+cfNJp73nvuykfbrWGL77gew3voyzlVoY0nNGoQ+kZ09dYa6i9drs5fdroWnPnPAEQzMpYem4BGaOZ5y1SY2DWgR84+JAD777rrpF8qNWemofGw/MefNUrdi2KYt111z/uM199wxvePDIy2ulq7fYl7yEEkJnddtttzL493Hrla159yglfcORF/Ct23+MNb37jiG998piPrzN97Var0RppvOGtb/7Up46jpDnz9Bmj5N0aIzPyRj5/7rxddt7t5JO/PtRs7rTDjptsvHkSOvPMs1vNoUbWOOWrX/vYYQegLtXmIALHLqksXLxogw02euMb/v6Tn/x0qzn06KOPXnf1dSGMNrJs771fd+JXj89zeOLn2wvXK1IX3V25QlYXDaZJh/YAAKj7zBARMwNwzl166aXMvOH607xnUP7KV+x57rnnNxpD+fAaZTW+5eZbeeRMeRJttXIPSmqnnXx2a+p6jWbjyI984LvnnZ7Uzj7tjBlrrnn37N/uuu2Wxx59zKLnFp9w8qnf+ZfvzGj4ddaYcdH5FzlT8Ghla6lOoSjNhB/96EdDw+vlYfSss08/5+TPDhFOP+80ak9Ze4MZ117+443X32CDNdbfafsdhoaGmPO5c+fu/ro975s9+5uXfOtTn/pUHlzThdtuu/XHl/641Wp5DuedefY5p59sqgZO1sjZa3c5IVmRdtjp1bvs8PJf3HZze2j4+p/euHjF2AabbjW1PRKCe89b37Ltpptsv9NOY70i+GEX8l133mHrrTe+7sqrfGt6Y6h13oUXfPGfP9daJcbgj1XPrjs9DqTfgAEDVivo6KuPLUMJYLQzctxbPzkqI+Q4QRyIlEEA1YXe6kNb/+/qxb5nh4gQAYV5M2cKph6op0rmpwrgFSwFEBGa3egaoVdUzpA3Mrj+L4YqJvP9zvKZ5ZQMTky65Chx2wxMnAA15KiYKhgiNZL5jKBxPARfmQeFKGi7Egi9InlHIahZpZRNRGqGzCU4TlZ1Lc8TucokUMi1UiRiivAphjywRgSHWHZDo6UiYAOJxBRCG4oVjBbBo6dIgtyQlT0MNwEtk6gLTUnwDmYVWA1cImsCsNJi1JARMhKQg1AJJIb1CmdZkxgmaLtkhUOoYwVLoCRjUEvgoWBTlY45hmuWxjB4gzo4wJm6fnNXmKs7dhEBbuUxTGqAAP7/7H7730FrvPeAFmVh+VATQNVDxkkBzr0BgBAUKQAxxUjmXeZhrOiS+eQ8uyjqM7BGgoP5uvULUzIrI5Gi1S3jUB5CWSLLEgiAr1ussVYyEVxQbYKQCAWWNKA5hhCbEqJCTSRzmZoy8cpmiKXE4IL12x0Kg4h5BXwDICQ1cxR8AgBYlQjwGRuqXsxbrkRKog3X8OWEhpYyW4zBK7SoXAAamTIE4MoclTBDqLt+5C906a4a+ddPVPqDHw0YMGDAXy395EiYmX39X085+H0fGUIrR0OViesDtF9/V8GseOqxJwhqgSyjoIFX8pd8En8JksIQklZGEQRmwDzIs2eg1AgzqGsgNAALXBosy/KQwQCBplRqKrIs85wRMhUQJTjVKlFogh0QQSoRHggENQMaqSQWaxBUqhCaAHskD/MGaIQhzzLvg6ackAPaCuSgRBEwyltGIcE8MVDBiMgBWUqWBQbAXg0pNFoqYOeIPRGHzKtGKIYJpKi00RE2kAOGHZAAhgX0FOSABCJKUkVUjChaIhmFBhNJVdVtIQy5whGolYdckAGsSaSk3MBWaYpGhGBCAMcIAojZhdyRVygTAoMdPIxMVxr6fu/Eff4rY/wR1+fqSW35A7Dqn22e5w4pSoXQ1IoZLqZupKpCJAOLU2V2LnOBoGyM5AUh844FuSMDKvalqGmCKZOKqZJ3CB4YzYNPoCyHklPUYl0URU+DG1JAeEJJJKUG2ow8SokQLaZgnLlMVNTIwN1YJqjB2GAqHkRQx46IJKV2oZkimDkKAIQM1iupTN5HwBSNLIhVBMtdqDoVQs4MSlWAoBK4hsEnS2YKp8lQwSmcB+UAp98P5lu1zWOt/waab8CAAashq534M63bPQFQqs8AciBnIKg1fD/ZMooAiRGBPGlSIKkyAsxzCBJTSiAgc3lMEZy44SSJIZDCw1xQKLzCc55UXCN3LlgpgQhIMUURQFLuFDFBjAhJAYIIHDwDDNVU1tkcAjgEgBwc2BEFwNVrV1RdUCQWmFRlMkNKCqgiMTMcSCqNyTF5165MTQUMFNGqKCrEMEJd7jo4xwChcgw4pzFCLWTeEkSRAIMvygSDZ7Cg4ck5slSBzHGWkgEZ+YYqQgARil4JMLEzgQNUk2rhoM7qKhwKInthPY5VT2oC8+q3P/8YzFznJ9VNqOuCfwQyJCKLSdgHJg9AYEaaJNZtV0CZwQI8osFRk6gOrlSpACVQFjIKHo4TxJCckYPTaJzACZGgBgYYiAnwyJueoJIqhiutyrzPrRFSE+YTkuccyipGcI5dMmShUQ/bs/PsVIQMptpvWe0YAkMALEmPnUgI8E1AIbEf/EhOYQxqtTI1GMQswXuELEaYaSAkK4RS9M7AzjgoSMFkiuc/bCDzBgwYMADAaij+6kxb5kb/uYuRU4NVkkA+VnAOxCDnDOacF3hm9oieTZV9aJmqC5wxvIEBYlZUQGLvYN5ZHiVWNuFYU9egIOYIE0WdA6sQ7/Pgm0yMNI4Q4FyvBDNEQcyiSgDqHsQMwBgUk0I8IcAYAjVkPkuqjazBUJFKYtloegBEpGCqY5kUIITMa4UAeModO5OIhiPfyLnhADW4BqCIMXkgpRKAaWJHxAQx8itVGDfyYSSqrckEMTMKVMXKgCw0Y9QUlYhTQhI0mjlUkSxz3swCc8bEpoTnO2tNnsd988vvpVwODuuVTLp6oaopJe99kgTAwxE75wiAKYLPCaxA8FQVJRFiEmcZjOEYVeFT35tuWV5JmUEsSQIKoERypIAhkiMiBhzMSnIlWKEIDFLEOG7WC74FNAM1a+8CKBBahGBJwM6UiH0yiCmBTImM635upEbEANTUsQNixSgJgDWcVOW4wAO+AWmih9gDYAgBWVEVEXWqBpkjVYGyM87Jq0X2TogVTgwuEVKdIdyPH32+tBDhD619A/vfgAEDVjdWO/HnGRpNQUAmGuFF04RZDK4F8pxBFR7w0BjF4Ouu8Ek7DuIIaoi1qUpBEVrBMae6qqzxFT+5fFpjrd/NfzJQEK18DgDJoFBigZpRILRjJZAKlsAOzGqJA5LBBzDDcSAEWIDz2u2kYgKaGp5hkBJaVWBm4qKqPHMVE8Bm4nKXkhhBCWJSmYoIGGCGxUBCEYiIaggGKZc9s/jD7z0glpWaJgKcD6ENo6afIsnIA07OPPO0G266CYQqJoKIRFGGd2A1lECqT3EXcgPU4EPufU4EdqiFCkAPPDCXKdx8060AqqoErC50YwQxtbo8dH9xDGST7VgH5f+ex8zq3m6qysx1zRfnnMESIgNkULV6NQyOQJWmrBEIyL0jgqSE2EMgJCBgotTY97krm6ZkhaVabFtZwpMBVQkkZNSr0jJQL5ESwCqBxZBijP0gzrLfk8QTayTKgxqUuFtWTEwGlRTYEZGKQIS8V+2bMNU0hdAlTCgEClTBkVNkQJoYg1UIGqNBAbVGlhkpykpNjfPIGYjZecSUUVZKKjUx6jc5AAEO8mKRfKv2ku67gFe2VRlsuQEDBqwerHbijwhZIA+vYHYOVLAVsz74wTxrej/F5zMfevAJRIFaFhqVcQIcqMGeLKlIMpDPVRgRMDgVQBjNBB9jfMubXr90/LktN96ShR1F+NIYhODNoB0NqSCUQEAGVHCpdLnBJRDX5kYkNYmitePWKuPgdtlu23aW5a59+CGf9gxmPuXrX2em0eEpe75u35Tw3HOLZs6cGVxjytRWe6i1fPkyR5mnPKkRIYFACu06ghMjpsiCAOeCdDXnjEgEkgBNRJaRsEMjFV0gjnfG6hbEPoBRNZxLim5CcqwEkCLFJAqQKJggAjUViUQCJGilZbHNVlubxtftsaeKZlk2GYoKM1OY/FFXHPVNSqs9dYBa3dsDABFVVXXPPfeEkDFnjaydN7ObbrjhuWcXr7XuxoGzZt7cc/e9JJGBVfpz6ALgtLv4mXXX3YB9c+a6ay8dW+Y4O+PU05vNrNX2Rx5xmMKg4dprr/VMrXb7vPMvhIdYecsN12VhKM/d+RdfFA1UNY740FFT8vbIcPueOQ9TwJy7nxoKaww3h/fe51VjVSwY4vnwI4/wPqw1Y63OeNeSpCrOmTMnbzVvvPEGAB/+8Ie9b+R5Hnzz9fu+2RMS9CdXXdcanuqdu/6G6/1Q+6yzz/BuqNnKvnneRVQVDoayN7Z04Trrrnv6+RclowXPLtxonZl5o8mcvfmNb3XKJAiE0046c40pay5aMpZ+r6/HynpP+kc21qDa34ABA1YPVhfx93zct1Qw9F/8ySyVSHH68Oic++YuWj7227vuOfLII4uly1/3klde8o1vNfL29BnrzXngfiS97idXZMG3hlpnnndBr8Deu+9XLl4Oqgj0d6/Zc9ny6tqrrxtpNaeNbt1bDo7OqupHV/6Im4085B877HDW6j8euPf9R3x6IoKMPzVr1vyHHxqHf+8Bs/Isy5utW2++qfbwGjkB4EDMSPrG1+89sXRh1evcc+fdc+Ysu/LKKx99dH5MRbc7ccvN1zvO1l5rvUWLlpx88ud/+KPvjY8vmzp1qoGTIAuZKiowSJE6L9tykylDQ3lraM68h086/dR11lnn0ssvG262Gz675ac3qsWtt9mhEUYyP+P8sy/qdHrrrbvmF7781X33fz2HsOcer0298cMOPWjuw/Mrxm/mPHzQUUcmiY88+GCj0Qo+33fft3R6cAxmZge1qIhm8ZFH54U8jI7OeOSRx7zzUJZeZ5fttvc+HxoenjdvnlhfDHLdhqHuxDBZhm3g98WkU7IO+KtTPfI832mnncqyUK061diBHzlgk402DaH5mtfusazTi93yF7fdnmV5NNRFTFTLCkXS3pe+8Nnrf3pLKb0HH3zg7LPPNvgjjv5YL/ak7DqNP735F73Crr72+l5a/siTD57/jYueXZDunzP3zFPOrLrPdbrPnHXxaXMfefyCs//9tTvu2R1b8qvfXnfYsQcuGcMxh31y2eMLly99+pRzPnfed7+5IpYHH3nkW9/+zlTFsSVLpoyMMJGmdMThR5177rlJhF245JvfNqnKXjH7voe2XnedUeCGq6754RU3LO1KZWmPffb82f33/OLh33UsdotxT+XTv5uPXi9LdsJXPn/iSScLN4RARHvvtcf4+FLRdOO1N3LJuWDufQ89MPfBDx9ySNZqFZJsFV50bgFMWppXsUEPGDBgwN80q4v4ex42qQpHSAoFyActShbKvOeAXiqY2St3lk5YpCW94uKLL7zjZz9f/MyC+++5O0lvydiSBx6c99STz77r7e+4585fQ8s777pz+x12bbWbb3zT/iuWP7XN1i9LhQIyNjb2w8uuem75sl65ArFzy403ct7ukSkDiiChV8bLbr1q55e+vJOk0+2+8pWvBqguQ2tAEsA5qBQTndDIoSnL3drrTt10s43/7fv/2iu6zrEq8gzdToTBEBtN59hUNak656tKyYFBgFx09lmnnnpiZ8XiojOx9eY7fvTjn5j32Px3veMdK5aNi+g+r93Dk82ePbuoetXyxT/4/k8cNx578okTvvqpa2++ohuL2267LWNq544DTUSkrFEmkqQfOeADixctqVJ5zdWXh9CX1ClFRyRakufNt94yirz73e9m5rIUMzr/3HNO/NoJyaqJbmejTTZhZgJMzfp7UQGddMUNACbtVc45IqoD/vrZHkQEunfunKLb23TzzUViIvPemYAMtbOUCIhaR7v53JtG8WyE23/x81tv/WmSuviRSeoFdhutt1Eza5xzwflRelNmjDSHh7Kmv+266z79yc/AN268+aYHZj/45KNPfPeSf3nPuz4A5tNPPeWee++uUlSq4AvO5ZYbr5s9/6HFE8uHpo6+fr99mYH6FoqPfvSj559//nrrr99oNctYOedETMTOPf+8z37iYzQx9utbbzv9lHOLipJRGaP3LcqGuobE+NoZX3vkiflgufDkE9765jftsutLepX2EkAUq27ezKtSVdDI/fiipSd84YvnnXder4oTRQkXVp3J3yv4t+rn+sd/xlUdMGDAgL8kq4v4WzX0xwWnZMxISBaF85HxsfHNNt9s+sjU3ffe80c/+pFHtvb0mW972zvY4R1v3f/gg2bd9dvfnvCVrwfXnDI09Zvf/q5AXvPal//40h9A7Nabf/b2t79TDQ4G51WC80Ca+Pkdv3zZy17bzJqZq445+tB5jz450VPvnSlgYD/SGpq6/Q5bfe2kkw458tiYEHwOdbFKBiTAOVTdCSh++Ys7puSjU0bb3/zW+UNTsM0O28+ZM3ujjTZot4fuv/9RGFqtYCJEJBrrOnBkTECWsQkEooq993/9W9/+7u/+y7cZKKrECL7pLBh7RiKoAPH0M04lP2NodMN773mgqpznTBDL2HNwmsyipLJDHPMmegkcWj7L3/m2t8+cue68hx7NMlQFmBGrwjkHKDMDJmUPlpxzVZXy3DH5vffe+y1veef5551nICMGURXVMbENLH0vwsqiJPWXdcxfnfkRYwRw0YXf/vSnPw0TdnLrrTcPN0fb+ej5536rjk8FAMdEweDLWBxw0Id23X7rvNG8467/mLnhBgx1sdp5yy2zbOrW2++0xZabJUlWFs2sfeMtt773g+9tjWIIFlO5+Xbb//iqW35y6eWP3Hvv9FG68/5fDQ1PfedbDzzgHQd1xhYe+akPja7XajemuW62fHzFoiVLlo2NHTTrICY3derU3tjya6644l3vetc222473ulO9LohBBFR1QceeGBBZ+Em22yq3eKuW392/WWXrzl97Zafetcv7v+7rXahsWJaqz1t3fXe8J73YLT1wNy78qnuFa9+VUrqW20XQA6333ZLg9sjQ6Pnn/cdTfjSl7703W9e4kyJKDRb8geCD5PJRi+IBeRVjM0DBgwYsBqwuoi/F2AGaLTk4MnlKHVkdNqjjz26tFi2aNEjrYaHy7udmOeNItW5IQqvJ5/65WhVURVLljy32ebrbrX9ZnMenBN78tyzy3bdeZdGADykVxBEEeG5MTQaS6GkDJSm6hqZazZMvAEB42JVwibT13nikUcOnnXIlPYa3/7WD0SozttkQBRZnsPoVa/eY+nYs8ef8OXHn36YHZCqmeut88wzz3Q6EwceeOAD9z8RI8g5E01lIrjcB8cQrVMmLIAA3mibbRdNPDM8tR1c/suf/kYTyJlwVVkyhePwwH333nTTDb1i8fjyx7fcapuQDyVlAI08JFPHmSVjNtGqNDAoJTgKR3/8ExMTK77yla8Mj6ydUgTBe19bpByCSXLNJphS6rcJFrEttt2qp91111/PO/eLX/+qihICQ0EwmAB1uy0FVtOT+E80ma3tf8xcVVVKKc/yu+6+S1O+xRZbg+Maa40+/dTjZbG86Cw/76zzH5gzN3CElVBLiaMhD0NbvmS3VI4vHx8/+tjPrLfxZrCSMtw9e45IWmu9jc664ILgEzn85PIrfvijKw45bBYIWhb/8L4PXnbtVWeccwmKfOdttnjqmXs/f+InloyXr9/rTSPZWqND4W1//7qOLu1I962v/9BuO+/UDP773/7mxz72MTX53r9856JLvvGZf/rHvffZO2/kf//Od775TW896qhjwI7gLrzg4s8c/5lClENzxbMLdGxRZ/lzDz2++Nwzv22Li38955xqYvy55xaPbrgZhoa+fOqJx/zT8euNrLPrjjt+/tMff82+bxkeaT/69DNFLMaWjl3yne/+6Iprzrzw3PaU5uhQ65Lzz19r6tSbfv6z35tDGhiUBwwYMGA1FX9MBvLkkwgQkA/FhCVLl2YAG7IcAHGjAeamDxnAjtffcL0fXX5ZWZRVhcAgBrL0yX/69C9/c89OO75kzakt0Z5q6YZGG61S2NAYGh6ddv011zSIoP7Ek87cYNPN119nze7C53KT66+/4Rvf/66INEEAdt1xizt+85s7fvXLJMrOlVWXAM+IVULIXJ5z3njPB957zvlnJu2ATWPMfKOqZOcdd2q3myHANKqikQ+JcEpQheN+AF3tRQUcmu03ve3tl11+5WOPPsZEoyNDD82fU6XCBVg0U7fRhuuDMW/+Uw898lBRiRpvt/UOc+57sN9ztz206aabPv30k6z48Pvf60WqKKAQq+KSb1504IEfWbDgaU2QZARP8HWFv2LFCq2q9lBzYmJFSmBfl9eR/d6w/6VXX3HPPfeQYwBkK09l7VcnXy2VX80ftp2oPxdFUf/DOee9N9g3v/nNY478eBIDi8RxSA+CZctSVVWbbLiuQ7xv9t3NVvOGm26VFAwBUSGxnfm9Xrfvy1/+8oZ3kAoCmMvykWQpps45p59yzdU3XHD+N5PACPu88Z3/8P53br7BeharL37p+I222PLwow497jPHZj7Mnbfwl3f+dsZaU0UKUn7miYX7v+M9++3+uumt4U9/6jM7brNNkjT/0Ue33nabe+6fnczGOxOX/eQnN95442mnnQa1Bx96OCXddObaWchA+bve9a73/P2b2WHh2NjoWutyuwGLnvDDq6677CfX7rDdLv/67R8sW/74U8uW3HXPvZ/96pduvP7yLPMQIFnR7T63+LlX7b17aVUnyYrxziEf+cjTC5597ateXW+tlR+/N89/LBZwwIABA/7GOfrqYw+54chDbjjyU5f94zJbpknMLFpSExMzNTMRU9H6dVLs/yx1XyzTwix2YizNxNSqQpcuPfbQgx/53fwlqeyaxcqq58o9d95j0cKxCbOUKo0Tpiu+fuI/kQPy4aE1Nnhm4SKz7rJnn9h05saPPLRA1MTKk07+XOZAaDd46LCDDo2S/vVH/+69z9idc9bZ0WxFih+aNctxfsCHZx162BH3PzTnR5f/O3wGbuaj6yxaVqiZSlGlXimaxCyZLV/+ycMPTuVEZeUp55120jmnXHHpdxt1jULOzz73OzHa44/N32CdkUaAA2ZMW+uZZ5Z2K1GzoihUNZmodk8/+Yu1RfFVu+83tkIlqqXx4084zjcdiG++8RYpix2235oIB77v8I999EtLlqdSi6effXCtdaYzt/Z89euss+jBe25BAIann/ndfz/smGN63RXbbbV1owFyfOpZ5xXRTM3UYoxiWqXSrLj60u/lHi54uPy1r9tnfLxzxomfzz3A2O21rxxLaUKtVDM1EzUVs6gWxZKY6l96w/xF6O/SPyDGaGZmoprqzfvvP/zXQw49sKOmZlotX77siZnrzADy3E2bN+dxlZjSigceuMs5d93NP11RSdJ4zRU/yAHAX3b9zzpm491Fh3zgbSMAofX+wz42buXCRfM2Wmeo0cgQWvDZeRddaFX3rNOOJ4Zr8HU33iZFsuWL/27LjZpwzSlrP72i6Ek8/YTj28DI0Ohdcx8uzaLZDy+/DI7ZuwNnHZQ0RqmSSlGVV1591VXXXJ3EqirtsstuDzwwN1llYtbR4qknN1pzCI54xiZPLNVqothl8w0d42V7vfHZaMu1l9KYyQrrFrPn3P/5889ebPLUM49vMmP6EDDcmjr3dwuWJ+uoWKx02cQ/Hf3p5xaPj03O5x9iq/zoz7vCAwYMGPA/p39gmiaVE7739cW2qLBOXQ1s8rVMzERNkpmKPfHI408+8rsnnnjs8Wcff+aZZ5599tmFCxcuXrx4Nerti7qhU+paaEawAjlAVQQbHPckwTcckBmsq5SzEqJDjg7qeidkFUS1QWDPUO0FZqsCOTYD+WToiEWiKYjsiI0hrDFVTWoAKMy8N5MqcCYJFIggBEvi4agywJBTxZQIwRBIAAOkgtPEVAKOPQG5dUE+ikuSZRkYSHE8BIMANAKgSggZklTBeRhXEjMvQKoicWhHIAOcAdqDkwgiNE3ZK2AFhQo6IoROQiuos5LQrBvbgVeAJdFoR7nBcNJzFEy9YgW5hlFWd+btzzMBACFCI9gVFXyW1/1WEZfDB6GQEARISVueKcHVBbBJJwu8MINXY/Pfi6Oa6oTfsizzPACo4B3AWmrsubxp6oi8ChgCZyKRfCZ1sWMBG9hHKcgFD4JxmaT02iCXJYJR9ChNlXgoghnQqqj7c0C1ksplnlUpEijA6zLted9sgV0ExJDTMsLUeg8QFCYQBicTT85gDg4AzIhIte6sOPlBUIvsIHAVyAAPszLmIQehNDBbAKFrcBq9iQPBggiThzhl6on6jAF4qIsKeDgUjPxPdu81s5Xfnxz4gAEDBvz1Mujt+z8lcB1cZqh7ALg6yy/4jIGqqsxADVYBGA6A9TRGQyZwDHIs9QnCHCopKQMIkLoNGzEhoWSnEECRAPYBBKvQcJSkDM5AUrfVkqRI0RNSMkfwDJARTEW0394eIA9isGMOyZTgQCSSvMuyDKqIKYZAgIB8HTXnGSLmHRtENQYfAJIYs9AsIggQQyy66B94SSHg+lYeKGBQIAsA2NTXbd36zeTIiaDB8IB3SsTE8N7VEyLaPznrohkAYFQnAOdZQD+ZUuE9iBQqUACZZzU4Nyix+59TZ3sASCnleS4qBpMEUSMOLrQgSixGEXVHQPPMzmBiBQDHUEUP5IJHKSi6AhPXlJDB4BXOTABlX2nSZGzIQsMswQDikDUYBbHUKbRCaHp2iAQBAZ6EkAFIBjGoMIzBAiVyEQpQVEHdgUbBXDdc66d3J0bhQhfeQZs60URHIJTnSECFvO5hAyAjBOccBUhAxQwwqydzaGRMgMISDIFBgCHTF0n4WBUiAtFg6w0YMGB1w/+lB/BnhYgE7JSbBhASFcaJEWIF77xz0MxXEA+HunWbqaUZ7GCEqGBrZgpUQAOlK8yhQicgNxeMfYXcITfkatFBKLkGMwhJStcMJVjQqE0iIFQA+UxQqhF7GIwQnTGQmQn7STuEMTizpJ5S0zEsQocciUpMCXkWzIcqIfghAMQQq9jBU1ZFFwIljgoNFthPTQCHMgAOTn0rAmXEUCghXbi2eC/qHabBxQAKdTdXF2pjDQBgCNDc6aT1tw2qxV67bvzatwjXxfr60+1RD+z5fcagNoAAPF+Eg1Z+ZoAJq9xzwCoQkRnI4F2WYum9h4F8gjokBgU4StAiFkOhCYtQNfOOnFOAE8R7Bw+uJIWWB1re4GtxTxKDCFit1RL2AKwy8l1wi/pLRwAwBPTX0oEdmv2R9b+DNoBQL6er/3P9bcErPwGo33LS8z8h378GAR48TJi8dNb/jQbylTfi+sLI6zGttA+7/hXcKo/8L8zqf+ExAwYMGPA3xupn+YMDEwwQc+QZAdA8Y+9QRRUlA6lUziHGBGJ4S8mQkJP3DLChkTQWDkOEEVhGTOBe0iJDblUQFecC6gsDVVn6EASkQHCUBCCIqAkYSOpZhUxNhZHFBAg7ztUUgMY0qagU7MuYQE6igoidy7OQEmK04F1Z9YhhADswmWgZAomKIyIzTZFIyVKANwWM2KEq0QhQA5xT0xgB1P7awWn4V4r1HaYKUh9CVVW1HiSmCACKlLxxM7THEbtWAMoxQSBwFcE8NCKllGVeFZIqWAQJAHhnYILlxFa3l3EkKoOtMGDAgAF/k6x24s/gADWrEAzwpuzgYamqiiwwE1mi4Fi18J5jhNFiHypKQFVbpYokKyjzAGKBQLmkxEwZO2fIiXN2UneUZ9FUZrlXRW3mUODeOXM+fMCskLN3AoC46VjZYmCuYvIcwA5EBJaUXM7Qqju+zDs2gnIwsGOGqqRUxeQ9nCO1lGchxqgamaxKXcecpBKJgAS4EFir8ct+9MOpw9PmP/RkjAZCqwEImALgY0ohgBnWT7Ll1XBj/JVjZsxcl8erv2ZmU80pqMB5AyvKCr1kYEJuDDgFWTVRmKMIlwDO4Lwvq+QYnsVkAujCWxQAnuCgfXudwRy77C/8pAcMGDBgwP8Kq9cZb2YEMjMK3O+XBYIqJB12+CGBs3Zz9Oijj04xMoO5Dp6sIOPgiqgEej2pLBtS9pLQboCQnA9AU2JAqaiiNyRDBRgRZw5EYgkQgqakyt4NNQWRIVGkMkATVDXGjB0JjjzoiPFlHSYsXrrk/e9/X7fbedmrXuGbeR6ykSnTHpr3GKD33Xtvs5m3Wo0Qmg/Pm3vFlZdfd8PVIZBzOO2Mk2666UYgecfes0IhplWXLb7znW9fsWj5VltsFoJPMUqMEIFySuxDQ6ApKfGfln1/8KOBaejPxfNFXkJQEQC77LJLlmVMzZ/feAurAOWsjx/hp00L1PjtDbe1jTsTS7Z66Xb5WtOCb99+009hWmkpaiF4kajSoVCdceaJvsH5yHDeaN96822OQAxzLOySqBv0Vh4wYMCAv0VWI/FXZ/apVCAyeHLeIASB6alfO62VD4/1uis6Y+ede1ZvRfe973pvVSXyOOGkr97xs9sW/W724Qe86/NfOK41NGVoyvoLl8Trr7/p9FO/tu2WG2UcPvTBIz0DZXePHTZq+db06VPHuivmPfnUFz73lfe99715I999z5eXxcRhhx3+0t1ecsnFFwWfDQ8NLViwAARwcD73zqGqUMWGo+GRtiaLYgiZhPzO++Zc/O1vn3n++d3x5ZttvMHDDz/wile+bMGzT5VVJ6belltummXcbAXRSjT2er1Wq5U0iYqZqSkzMduNN1wx6hozp6238OkqKXxGc+fcM2N4OITGPvu/qdBoJt6v3AwvuitWhmitRnvmr4f+7lU1S+yciNw3e3ZZlk89vuDTR36sWrj40h//YMuX7fJc0e11ip9deq08vfCb37z4C2ed+EzZ/d3Cxb+94z88iD0zjAhgA4tUY1EmLr3ixys64+O9zu577AmgLKqooiDvPAbib8CAAQP+FlldDnKbrPhArAYSQ93yHlppUV7248s///kvh+C9M5NUdsuMW0lEgKyZxRhHh6dcf831r3nN7it6nX/+0ufuve/+qkpf/uIX7/rtf3S7Ew/Pe3DJks6/fedbV/z7v3VXjP/8F7cdfewxraGpF138bwcfcGhZLtxxh02ffvqpCy48/6e/vfMDsw6KKY4tXbHuzPUUSMIxgcg7JpQTmQp6XTIBuBdNfR7BU6avVZalpejJrrzqJ1dfc9n06SMEAZJo1SsmYqwM4thlWVZVleeMOXOcZ5RDAda9X7/H8vEl226xXauRiaGIxVFHzHrq8ceqXnHtddcb8Sq5kKvLlvi/Rb1AzEzMkpJzDoCZNDXsstPO2XBTvCkhA40t7Fx15dVjSxdvuME611x9VWHptt/8tjltVCx5JFYBoETm2GVZI3NDzVZSCCERRCVvZIEdg2OKg9SbAQMGDPibZLU46W2VWl+OqIwRhDIqAeRofNnSTTfebOqUqTFGsRgcO/KOvPdeLIpJEng39dWvftOee77ewT569CGveNXOgbITjz89b474nH7+y2taQ3LuOWfssNtrh4bau+2ykw9UVPbq1+y/224vC1xttOHU3z02Tw3eZyJicCE0vIMHnOfJKC4B4baf3jxlpN1oNDbccMPnnl1EcCKoqkpVg3fQ+PgTj2y44XpPPvX4+uvPZBduufUGInvDG96WZSPONz73uS8QsYEJZAY1BtQ0IgQwk3GZoIwQ8ne8/W0brLfOww/PIwYoMHysqv/MjfunTYMD/rcwszpKQTUBcN6LyJz778vz5vabbPHpf/6n2M7e+Na3feuMc0ep8Z73vGeXvffoDYU3veENb3nlnpuMzpj32KMfPnKWMkEAYoN1RQXBTC3qXnvsN3Vk2pS111s6sYIcpKpIQUDwATQw/Q0YMGDA3yCr1yluZkk1hGCAD2wAojL5++6+K5al9z5QHqOYJtWkqiBvnIfG6NLlRdacMjEeGc7DGgFqQsSAR79IWcxa2e+efnqi04vl+Dlnng7klfhmo4nYDRyJrIwgOI++kU0VhoIMjgEC2Bn7V+y+x7OLx8qYnnzs8bXXmEYx5gQSzbJMQOb8Jpts9NBDD62/3rpPPfXUV7/6RedcnudXXPHvkjoxdj/72c8CTHBlqQQwsVkiH5AigKTiPOCQIEceffTSiYlTTz1l6oyZS5csM0OWZfjP/XwDt++fm/qti3Ourt1ef9N53mqrraqqeGrR02decO6Djz5CoPt+9Vsti1tuv1JHMpoyfO75Fy574tlibMzDZh19pIERBVoRiF1uyGHhqI9+RiWOdZZe8q1vfeqfPpksuuCh0ASB2cDvO2DAgAF/i6wWB/nKKq/MTMjqQi8CITi45vDo6N+9/CXfuOQ8MySFc2Ha9NHHH3t4orPi7nvu+6djT6rEu5YvrGw020DmEaAg6nFIoAQlNQdzW267zT13/QYZqYgHMTM5Tkmh5gzE8B5rTps+tnipphQjDAhgSOUdAyouWLNVudwPjyRVgo7moW0SUmx5TjEaKMLvs/f+733v+8eXd1TRag0VvSpGIWOCq+MH62ognhkEM5hjA8E3AOKAqCgFBgY5xOL8C85+7/ves3jxUvQba/z+Yd+3Sv4R7I/3RV2pVOor/IlHDvivMzmNWud8mBlaADMXkiM3MBinnnGBVHGNKdPnPjR/j333VcWH3v3uznOLFIJG/tC9d/ngb//ZHZUS8TBKAzwBDz08Z/vtt2ViqILgXF3G8c+3aqtK2//r/M08kQEDBvytslqIv1Vx7EwF0ABKonXrtvMuOveiiy4YHhoaao4cPOtQBPf2v3/rGtNnfP6zXzzuCydWSilLyRfdsmBhSsgAH6RbLYMDXIOtEbL2V0857Z0fen8ewlBzyjfO+0YjWEwTWZORnKeWKUCYuUZz+tBQu9mYMm3koQfmegSoAholVdCumgQnAHkOjquJCS27O2+79Zv32/+TRx/THpkyd/4jW2+1wzcv+dfp09ZvNkaOOfoTjXyYKeR5K4kCcM4xiBk+QMRAYsxFlDPPPn9oaMov775jzZkzPvaxT3W6ve2223HajDVCFrbZaqutttiUGSCoVvWxtVK3EdGfOJVftGvCyh/VXVOZub7O/8pyrjbUHRu99wCqslyxYsUGG2zQaDSp1dhvv/2222LbRQuXbLbjttRw9z1w7zfOOTsTf+ABh2y2/U6t4fama834x6M+2oBLycg7GMeeBG5AwtlnX8zsRkPrkfkPHznrYNMIUIxmBIaqyp/tCf6xJhz/F/mbeSIDBgz4W2X16u0LQEwBBXHdaICkAgyqCawhNyA3WNEh55A1OgpjWIpBU8hyAzuAFCZVoir4IFVyITeDMbEYxOCCaYXgC7ApWgZgDK6KGCnQyAHtlo0mRVXvGiSAVcaI7BksAgeQQxINZmwGMFKFZpbAYuaIfAk4hYMksGOQCUqoeReqWAVvIpFdruLYO4JWxkDXQzkGcq3CYB4OyKRCldDMEnwyWEQzAChAjbqYMKAr+4n98UX/U/th5a+v/MfklQf8N6iVd0qJyLz3kpJzZGbEDFi0EACIJiqTcwLXgHOlAT3kViKLCGTIJhtUgybKqsHBk8CnLpgta/QAAQjdNjxZZoRCpOGIpIJr/KUnYMCAAQMG9Bn09v0fwqSOPFLdVj7CGcigzrvcFAYkE8pa9ZlHpEDKfcizpoHFzFSBSJ6DbxgCuQyAmYgInIer+6JlKUoAPAMWgab2nIECAEEjy0HGnACIAD4TDnXbU4/IiGyWOYZzcB5gZA0RAyQjs6oLBxhBzDkGYEps3rsQo3kORL62oHjPgCYtYM5T04TIh7r7LgFkCs6QZQDUoiNkGZJoHY5YKz8AxGYQtWT2ohag/yQgbKXJkJlTSv/v1vBP3fHPcJe/CCGEOsPXOaqtZLEqAYhpVSmYPftQ1xJXIBAcAxzArAgEMzEzSSqGLPMk8Ax4D58l7fdEayDTpCqWDMG5JBV49Wr/OGDAgAGrCaud+AMEgAmggCmQ6mQL1IkXUGKSWAdUgU09TLWqI988UZICRFBUyRRMRJYSO0cu1CbFUgGHEAJZCkjwBGVujjJ8khQcwAZVqKmWzqGXICBmdlBHYAJJZZqsLuUCRAOcA9SkCsGBAEdmpgICiEDkUlLnAnMoi8q5jOBiFAIROUcg9d41kiQ48x6klada0zHAnlhFDWDHAJuZSARgkFop8gsKwfw3cM6llMxMVWt/5f+q2e9vWPlhFRd8P1+IELJMRcAccoYZREkkgwMjEuCdSNKYgiIAjl00RWCzoArvADOQwJKJkYEMKZlzDTPzBELyzk/23x0wYMCAAX9TrHYv7gYz0bqKBREpDETwTgRmMJhAXcPX3w7sCcg5cwRvUNMQGhACe++CIRKLkiUlAqkJfHIOpaCskiOWooQZgktwqmg4B0BEQMG5hmNXWel8bXdxMAMIZd9CJipguAAljdBkwo5gBklSdciDPapoRBARZs+EWGneaKuQCELIDU6FnIEVAHvvASWrcgI0qRl5FiGGOaprvxlAgDrnRCNgogLAoHWdEQCmMMV/RWXVeR4hhDrPpr7Cyuv8N9br/3cewF8qk+BP3/e/O6pVQydVJFYVACJKdVieAcQMTbHq55KbOud9CMFBEgCQ46gKy5hhMNUOUIHNE3KADd4HIwBMKg5mqBtQ//8d+Z94+n/sUv/pvP0/X9D/wWVXffz/0qgGDBgw4H+J1VD8ZfX/wFAhQ16mSqTgUGfMOoIXS/Aay8SAQuoeb7UVD0AyZ4raOFilTt0HQQHn9JrL/q0xPPTwYw+5zJvAu7apKxETxLFDErVkzjQakgOMvUBFNTEgBphDaAIB7By7KGWSyjtlqBIMTqKCK5cpqDSrRBL64o9VETzHUgHnXJAEAgXf1ApQQLRuCMwALBITeTbAMRW9HrEqVExVmYiqqnLsVPXMM0+/9rqrUbsaAbP+R38m/yQrEz7uv/9+IrrtttvqyL8//Vt/yKr3+lPL+kc0xP/4PP6fjRN/oAP+K8/rTw+yFnz1KscYAbBzzjkVUdUhcqlMZhFOk6l3GQmcgk1NKtFYGsSjMGiSBrMjIkOVehwUVCGVbGYJjqFAUcERoAoVAq3qqv+vDPVPTOafuMiLfvmfzvMf3uK/9fj/8ZN60RV80Wf6X7/mgAEDBvyZWe3EnxqTAxChybkAODE64KAP+8DeN9tDM+bMfZgJKlXIvCZ49JUiCKImGp3rCyADmNkgjomAGIv937Lf+PjEJptuXMYeoR97aWCFqikZADAz+wBhAIJeYHOsAEyp79FjhpFYzB0/MOeec889Qy16+B9ffvmFl3x7bGzROjPX8DzkfL7hRusuWrQoz8M999zjfOZ9a4011npo7iMf++inlo+VKUIEr3j5mzpjBYjNLPgAAGZWlWaIil4vNRpNMxFEIyJmVc0yX8XSset2u3meq6paP7xvVfGH/0whMXNRFFtttZWZ7b777imllbnD/61D/UVv9yce/4eP+TOcxP8DGfHf+nXnKKUUQjBVADHGHXbYodlsDXHjlz//hQWKSLMOPaSR58G3brv1p5bk8FmH5KHRyFuN5vBr993HM6NSMoggC0ERFXF8bPGGa89sZq1Wa/qD859wWR1OTEgRsPT/wqZlq4i5F33W+APN9F+53f/PNf1j4/nTj/8vbtT/JyMcMGDAgP89ViPxV792e6sAFXbR+QRjWdGSpWs18eC993Sr3s9+/uvPHvpZesK9Zac3XfKNb/tp1J6x/j0P/gfc0huu+l7mfGhP/foFF3ZK7P/KPdzCFb4waPbyV71x8VK9/uqbprbW2DDsTM+FNmWw8Z9c+cPQzJucffLIg4x6tz469w0fP+5pdUj49KEHzn/wgQLDH/7IezOfh2b7qjt+M8EouAKXTL1ASAiWTS2kqSlneHLDK8QNTdnwmeeWH/+1Y266/dtPLrx36ozmvLlz9nrlbr1lv0tp4ZKxJVtuvVXsphYVwU2geGKatKRswDxJRoCQdaCUhSfv/I/1HK01kr9mj9equGbldttkuxa31nLrXnjqxeMTS9bdcPjzX/zy6163v8+m7vua3TH2xD8e9K6HHr7/WY8rfjfvHR89IsW44D/mtJzzrv3qff5+sXCPuQAzmIVZoWnZE0/OzkIYba83b+4SzrKEDpdzX7r12i2XtfL1Hpq/TJiNIziREikBZJSEICAhElICw+rgQyVEUAQURGaAAP3YTQAgRLKOEYy0bmBWfwAg4pUPn/xQQ1JEqCkkIiYIFIhQQwkIEYFIiIwSaUXRKJHVF1YiqX8IMqIeUQ9EZERCpEaIQioEMjKCEIRUSOuBgUipL/QJSkhUP1cSggEJSOhbk58vkagKZg+A2Jsiy/L77pvd6XQee6T3qUMPLZ575Pprr91qt716Vakrxm+84vKFE3LiJd8vpNC48Gd33LLNtruU5OAZbml0yxSJYuBe+/Of+dI1P71xsY7ffNdtV//88nH0UkhIDnGY4AyVEhn6KSb1kIjMSGvnv/Rzysz6UbSpBCLMUAJdWISAjECkVIEmiLr1F2aUiBJHFiYlo5RQCZSIyIjBBCMyIejz06WGglZhZQyCAWJqhHr1J+c5gZKgTEiCenSAoapTm81Ik6EqqKooERGBmLiaXACB2solAAxkIKt3aH+x6o9+DhWYrF7l/i/WLzr1BD0/P3+JV74BAwYM+H1WI/FXQ+QlJRAbQCByQcsEIGvk0UCOYyzBWDG2PMb4zIrOJd/4zq9+8auFC566+77/UOsuH1/+0Nx5Tz759Nve9o5f/+Y3INxzz9077rTV6DDvv//+y5Y+senWm1dFCUlLFy3+4aU/Xjy+vCwnUMabb7jBew/HlgBAY6qqdOWN1+66y0u6Ka3odV7zmr9jwHMmkmBGoCTS6/Xa7VYWuKxENDbzzHlEKVutFozUnKP8Rz+87IorrmqMjiapmBVAs5kDQFTvc1XNc4iAgwNAoMxlUlWHHnrwksVLV4wXt976U+8IlO6fc89Ep7toyXPf/8Fl3k/53e+ePfmkL99489VFtfzG224GN30Ydi4UMeaBQIlIZx1y0PJlYyK9q6/6ce5hgOe6mQigib3fdNNNYyzf9a53ec9lmQx24TkXnXra6UUqO71nNthgerdMgAOobh1CBEKdzgoHuBcmFBv1l/CFK1ovZJ0GwQoAbPR8JxIio74J9vmaxTzZqsRICcQgV9tpHQB4TDa647o+yqQVF0pkAMNWpsFGgAxhlcEoyNfPApzI8IfFcv6zv7oX+Xmdm18nTROjNqw654jKXV/ystaUNbplQahSibGxscuuvHbh2PKqLB0sFsV3vv29gw8/gqgebdtTW4yJAiCbb7XhT391U2W966+/duuNtmyiKeaQEXKYwEFXHcqqpiwCvdhAeXKVApD1J7WfoOKBAHiQglGXJCD42qYOC0BgAFDU3eWMzZht5V0UANUxG78Xbwcz9EsI0SoNCleOsP6WTe6IzOAAMKtjA+WgUCtYghG4v0mM0Ldy17chAuj3LHn2h2Ww3aoDWLlR+W+nhOGAAQP+NliNxB9NSgDnnMKUoAYk46y1YtnyTTbbenR06BWvfvmlP/4hDDNnznzr297G4He8Zb+DZx1y553/8eXjz2DXGh0e/t63v2dme+y51w8vvQzgm2+96S1ve71B2TmEEeQYaueI8qtf/eolr35Flrcynx156BGPzJ9fVj02zRiotNFoNtutHXbY4fRTzzjysCNFwEAyiCRHHuCYYuZcCP6Ig2YFH4ZajXe/7W0plmrqHUuyXlcyaveK9MzTC9dbd4NnH398k803Zeeuv/mmJcsXT50xbXRoaqOx9gMPzO0ViR1AIklVnSqco7e+483TZ0x//LGnVBgQBDnznDPz1tCU6TPvmf1wUQQVr5Z6ccIzgTwQqmgAhkKoukUgZqdveNs+02dMfeihR5oNVBEGqGpdoAauvqU4R3keUqpauQew51777fOG911w0bnw4AzN3BexNp9EIBqigUhBCoPRpPiz/mlMq+xY6x/GK09fYpAjkNUaEph8sNZTy+if5f1LmFEtDQEHJjAYRlb/mutfE0RwIAcmAKRgqdWnAkBSJACEgDpbhiPIYM8PkogYVmsC6lso61FbbVt8gZZ9EYWw0uFuZsLMqQ77Y7777rvzvLHppuse/fFjkQ298c1vueSCs9aYMvQP//APu/7dq8tE7TynKL97+LGiTJtvvn6RBKkwCYqMKYc5mBx29MHLO4tmTB3eZaed37D7PgEwpURIBjNqIvs9R/+L/2X14xsMZoQ4Wf3R1xq7L87gCJmBYfa8RjMHioCRga1eXAHFfrShgaherFibYolcXbOmf98XHxij/8fOMBYQG7FZAmKt7BIgFmEVYESsxEa1FROAMzh7/jrWf8PRfwNAMAUMDLCBbZXduOpgVorRFx3bgAEDBvzFWb1ejIgIRqpaV0MjAhBQ6pQp0x6e/8DyiYnxsWfbQxkkjq1Y7pwzWCphRuTdKaf9k8iKslcsWbxgiy3W23bHre65f3ZRpmefXbjLTtvlQcGQwlIsYqqgKWu1yyqpJJhTI3PczPI8pTYBjB5rkdJGa23wyCOPHnzQrKntke9+8/uBkJKCnUQJPo9JUlmdfcG5vaKbUvnjy38EjUQCaErabIz0Sm3mzc023fqhhx5ee+bM3/3ukRO+/gW1atq0Kc8uXLx8otfpdnfYaft224tNVoVh57lRpnj4sR9d0u187eSTp4xM7XTH773rV1dceVkVJ5YuWbDZljvlzaZAjFIjb0Z1qkFVLIigVEMTw6iYGUd85pCJsjzhhK+MTl0nlqUDPMPMLBogMVV51gBRWXWdp5Q0atxshx2LtGSd9db1HH72i98IEEKupoZkSFBbmXVMpoBRbSWiWus5rXOXn19R6+siqAE2qdkAaP8wrr3CtbM3MYytlh+1idFZ39DDMDETI+37jQVY6UE2ZnNkrLUt6XlrFgBv8Na3DNU/dehLllqt1iYrcL+HxfMjnFQLrCCzlbr2D/8kFVDVVFv7fAiSEoh23nnnsizGJpZc8u3vPDh3viO++1e3j08sufrG62dusNH6668vFSTxhRd99+gjj3GGhgcCEym0LtsYYPyxQ4/ccZvtxpb3/u3ffnDOuRenIgUHIrgAAkGYqLaST/759IfNtorJiwCivmQi1BU0J9PDrZ4EGKT+5soFq9UTiI1Wqt66EiWbka409AL1A7WfD48/XWCSQCt1GBHVW4IMVEv/SSdt/X9nfRmXQIa65I1RLd7VqP5//3666n3NyIgFrFgpjmsHsQBChn5pzOef2oABAwb8FbF6iT8AasrsGeSBqlQoIWsqhV6vo4gMgIE8NIba3nsHBAdH2GD9jS/7yTVFGasyMYMdxFWfPO6Tv/rN3bvs/LI1p69hVpmULm8MN5wiopW1pk+57prrgzCUTjz11A233GydNddIi5b5CjfcevN5//LdROyNVHi3XXf51W9+++s77iBDM8tU+jkpzrm8EYpuJ/NMEO+M+2FhCOxNXTMf7nZtr732ef/7P1hVURU+C8RcVD0ig8/Y5d3e+EQ3qppBiU0VEiXPhyAK03MvOOc973nPkkWLAWy+5WZR8ND87gMPP1TEngvYfPPN58x5CMbswK1sg03XffrpJ53iw//wEY4+pgqUYtm7+BsXzjrww8889ZhaVIvsiAKBOfjQK7opVsOtZtHtOscZZ5YiXLbv6/f7ybXX3n3vXWUVuR/WVRuHAtXFDlmJCBpW0RhsYO3nnMiqJzH12xLz75UmWeVUfkG4Fdnkb9dN9wCoTFoadVJmmJlMxhMqrH+LvjBAJFQGAnKFA6KhMjMzZ8pmBkSGKnzf2VyPZNIiuNKF+ELr0Z/qpLuyV4pKdN4XvR6ILAkY47EoJObEzTw31ZPOOfO5Zc+1HIYCZj/wu/FCd9p2iyHSgGREc+/6eZ7ztbf8NAYyye67+6HXvWJfMhx91LGzH3yQvIOWZBXM+jX+zKArZRj6tWD6es5eIAHJGTiYJwMgikohWOk0t4TaKEhupRXXkWit1ykS1cF43hCM2CgZUr/8kjoVr6qKEi9UU2STwQIv8Pm+wFldO5Kdkav1nVcwsVowB3AdKUi1g5tqW5+iP+aVYlcnd0tf+9ZzkfpPfOVdjVcZ3apZLGYDDThgwIC/IlY78WfegSgVRQAagZVDipqAdrvtoAYBGViX9zoAMsB7xBS32WaXPV+3/1B7+pSRKWuvtfbCxc86L7u9/KUfPuiQl770NYB3RKeffmqz0fzVr29bd/2Zhx512G67vWzWrFntvJEH/7JXvmqv3V8/td2e3mxMabV+8KMfvO+gjyjhup9c2Roa9hT22v21p518EvfNc0QhS0lVNTjvnCMYYEW3kwdesODZdWauf9xnTthrr7eutcZaZVlus83m3/rmd0ZG1s7y6Z/+1D8JjL3zWQCQUspaFgJlWd+nZlpl3nXGyx13fWlrdDhrNHfbbbf1199wx512+eWvf9tot08+86sfOej9LjAh7LjDS074yolDQ8O77/m6KlV77r3/Pvu+ca2pa3zmY0e3g6tK22G7l4+MjOZ5vvkWm2615RaB2BOZJTAsJYCvu+6GZt4+65wzdtl1pz1ft8d4Z+KUM0/P8+E8G/rqiScfdtghISNBAdSRf1l93BLVQgEwBwisbzQSmD7vya2j+4E6uh+ioFr8UW3b60uuF+7wF5zBtXXKAwAbqE63dgTUuQJG0NpmVAfx9/199aEugHJf19W3SOhbHwEoQQyiqIdXSyhaRSr1zUhauwht5WX7GR5/mFhamw3rjjxlUZRluc6aa7Xb7azZevPb3rzDdtsufOapjdZaN2sOP/DIw+dfeEY7IBY4cNaRR3z0ExqtAQlACe+DBA9AowCh9c9f+OrI0Bqj2dR9XrPPwbMO856IiIFancX+GLXOV9BJt/vvmf36UzuZA09EddbESq1UP+WVaRD1IpCh1lO1xKLJ1Aqpk2LIuP+WYPKPYqXIMl7VtofnfbKrGtrYjMzIWzQiYfRtjagEPUNkMCvMSAhA6RG5djZbPzlk8kokMIXVuSWTxkujSV24clArh0e1wfEPGCT/Dhgw4K+H1a63b8e0TYBAE1FWv2BXGnuJmEOzrKq2b6EHBCBghYwP+zYBFityJMZCwQDPSa0TqBGrnOt0Be4SDBKgmUqFhlYgRo4eMg+ENIEioEElZ46rFLnhEhDAEiUEVyWQgyY0AiQm5xyYDCiT5N4lqYJjNVFV73KzkkhVibgFAwlACovwroJPlprEmpJzWYri1YnANSGUqrS8GUZSDN4BrLHq+dAiIkmFYzHOoganEI9SrOnEQwxO4GPqNiCEYL7RBRzgTAMYCnAC+TrOy0EJ0cFJqS5zRpEgsFxKdhlHVXNVRh3RpnErAWJgKjMoLDpqQoMajEBcERI0o+ThKiOAnBAL6vg5pb6S8uib/QSgSD6CGhCASfuaADDjOOkEdrAA9L2LTBEkhgZBYcmIBJ6NGAJNYErkDM4Z2CIAI5+IvNZOxAQI4ATeQA6R+3MVYHAwsmSMhBAswlBLTOubqJRqhUesAFudS2B1mipbqJs2Arpq3BgRqSUmBqAiXFdqFtHQqEQCRw9DoZK1oiMxbdUZtgb28ACqCWR5CZ9jqVorWtMpPAPSE3LssqJEliEKfDCHRAZVcN2oetJlLYY6K9b6aTAvUH61fcuBwGIkBlJ4BzJDnb3dX4JJgV7LruhBMGfaN98S92PvAKpFHteu/XqOxJnDCzV83xm9StvoVU1uTEWipoCCgg3mugmRkHttQCAMcSmgIDigWQJ5LNWTUvD1zmKUMEYKAMTMUYJ3RixQh0gI/ThOA5SgeH4ML3Txm00qwv/br58DBgz4y9J3I8Fs0Nv3v0ftzTJlJlOk2ukTfBYaSWIry6CCBqJCBCO+qaYiRL4BduwscG0a8oQQVcmBGURQrc1UAIMDE4hgAgsNwCFFaSJPqcxyBpBl3pmRSQlxwUUFOwRC7qEK533dTa6qUu6dGZwLogKQd76qEiEAnjmImNRqXBXsRMgAT77S5DxVVccHB5dcAyIgojz4Kk14j5QAYxeCIcYojnNwrkaAkYMBuSODAFxWAiD3TJ7hXFmqAzzgNNZBelCIGPo6QGp7mwtB++VAGGaO+zH4RMHEOc5SMgY8oVYmjsKqS6SgfphX7YbTvsWFAQLxKke/9QXeKo1HTMh0ldRMInOTKRxeqZ99YCYKBRIZzEzIEoyN6i/rfCCAJ5229HzWAxkZkXqqrZL1DjKPuila7eg0gnkyrmu+TEqk573N6EsWNSOzVRJBzPD8yLlf9I5ghFr5JUn935W63o2ViuCcJw9hZLmjOtsAiQCHALAgRSAMFb0qByU0Tb0r1TMq6cag5gFD08FVaDgQqKrzJBiQgkD1OtT3VZBOOlh/L/zOjMwMqFSTKZsGNjKDoVKLAJlmps5MDIWhquvDKCIAMgcNBlZI7R02dZZIlVTV6hI/ahDfX+lVs33/SMno/j+owUCmdR5ySnDS/wogsIGMBXmdrx1qY6T1rXwr92N/aQymk7GdtWnx+XJDk0OaTJBZ2SDb+gZCGsi+AQMG/PWw2r0e6cpPBmZQv2uql1qdACIlGC4DUe1L9GUlk2I7JimIYAZHLc+eWJXqw8EB3hJBoYQeEoF8qr2YcCFnUNaXaZJSUlVPzoNiX44qASKJCaZgTynCUV8FEsjgmXxMyXsPGJRVCY6cg8QKDojqXD/o3jFUyyzPVATBYGACTAjEzGpwodYTxMQhuKRm8CAvYnWNFUZJWgCaZ7n17WYmVSfLmGr/38r8CvaOiYGqqhwcE0tVgYiYDY4ogFydxOkcqTGhVbdSNjMHmMIhV+HJWH+IwSxUyRkBTs0MREwMVdFahRikQu3arZ2CqYJUnmqTkhFUU6xzLVIywBGyGM1AVal1PBc7WplS2i1KQVA4M6SYiDy5TOGjJADMADklDyKVOmcIta3HjA3mYFT3WANLP7tBoQlEBEqqqgozVRihTEkBlagSqc5prvejkcaKiWKVzIhBZsbsaTIlWM1QR/6ZETOcgxH7bFKg+rIUGEGFRQCOMCARJRahgJLQaLSRRCwQB5+xqrngtE7RrhvAaX8wBGfktRbNBCJW1apKdWZyEtXJ9511DrJNyp3aLV2/q3QMACkJExn1YyuZwcSmiQlwRG5SvtczWl+nLqBixnXyyKTEZ2bWemcxM9cFw0Wk3/J4Uu09734lAlAIs4KkAEdlGAJZFpApVUBJJAFsCD31AiCW8AxmAyUBCCLmVlrzHDN717c1J5BINV7bqlc2Qa63q/XLIP5hEOdq93o7YMCAv05WuxcjV7fN1do5B1J1pCJVBRUOScVlWb8ahQPIRdVmw6sglQWRBecs9ZMPi6LHpP0SH5zHoiJ2UBijhBpcIEaFJKiACARyEJCJyxwcERJir3YfMkGt8s7qKmgqMDPvYYIYFQCTq5IQnFoFIpAj8jDECOfq2nQ+JSVAUKp2mQ2qXHcTtqQpkVkVk+OMGEWEAlIb50Sd52QQRSOwiJVl5eA8ZxpLQwTgKYOQC1ltlQoM8g4UTUpYHduFZpYlSabq8kzUUoJREKFYFHVNPRE4IlhmAoN4opRiYAdjUgd4SQrAORCBKTB5ZkG/4SwcO8+ssdSygIqmZIRKUZYRPsBxrAoCiE1jYs9QxCr5QDBIQvBZjPCemaGmWpuXYEip0WxVgMAxIwQvVaXgQs25AE0mKgZiVsA5qyqAgDgBAMhgGUFVOiBRY0dOk4ITQpKyIPOOPbGHkiRTwHuv0Fq+RBMiWtnumENQSyF4YsQozjkzW9lexbETFabaHMgQq1OgPZBgRUx5swUliHrH0jfIRaAHKwUQgwggEsgDEAf1VEbN0fDInPcIirwHnXCoMoIpkjE4sxg1VexclmUilgTe1akRdVXrmrpsDYgAzlJKseql2GMg864sxFEoqg4owSBJqbZImiiBzTsQYJpKZgZ8lYyNHRsIqSqJGfAq3mIiFgOJolcWIEopee9rh++qQYErHcFm1nAKEzBXphOpIFguStAIit7DEaJw1IwhAHxeaOp7ZxkAnCMHFYmqqlFUEaMRAU4Ru82MIsyAoqyMmNibmcVEzL8n+wbhfgMGDPirYvUSf3UapmMH7+AgYhq7gDIzIZRw4FyrEpbqV2sxKPcTAXzIAaemzvdLyTUbOaBm6PYAQ2i0QAn9yPIQLU4sXHr4hw5WRdG3XhBiBUCAColhmbeuIAFlquoDS0VUjRnOkSnqfmzJYAQm73zmHfW6HUz6OUMAalMkxDlKWjroaad//Rc/v1UlAojwLrDLQIY8tAW+klRHdwX2DEfMRayMQAyJcE5aISP10JwDi3WAoqoqoGlFXUUPlRagCj4uXvrkBz54QFlIVRkZgvNmJikxE3uUVWLnQtaIvR4IzkENYBBzcIGB3AdCMuldf+11uWs/Nv/Jvs2nNudJMkSQM3CsUlWWDgieOTBg7H0CiJHlOaoCZZFlPiWYsjElSWLJ594UBojBCH5lYWZNAFJSAoNJ1AicgE63g6p0PhOBZ1epeMfE5pi0XiOIOUAiYnHMYYfPffgJU1S9id123uawww4uBVHhHH/1hM/dfuv15B0DRSwIuP7aG1qtoQcemD/p4DXAmFhgLgDcz44QUwApWsg8gKqqmD0TiwoAx85gxD5WFZxb9MyCjdbfMA/N0888zQW2GJEYlJUggzgU0AiT6LkfmZkAB0ulESaidMXy0ER02gMIpVbGAiR0xrWKyoBDlUA+1CI5xljH4CkgaisDE1dtQ2KGlOBDIIseapWkCo28ESWGLIhWBHj2jrOyqtg5IWhC/WaAMxbTKJb5hiOPsrBi3AeviioBTGRAqowQVRp5AwDI1TOmqnUj6ZV/6ZP5MYxiGazqGpeU537IWQWKqZwgChGuSAZnjiqfSknoAuSyUsTUmFEWlSYhIHNBzDjLiREcSZWuvuLSodZok4d//os7oiLPM9T9l10g71c1+72wTPn/wovagAEDBvz3WY3EX302ZCAASaIA5MjnlJYtue6aq0678PyyNsKFDFXFrJWomAJWqJADxGlpKmQGsQSKkJIMTAg5xCBVodWy2r3l4RoUYiqTxrKMvj4DxBA8BS+IkKhazntg9lGfPK6r5n1DVWHCzhGRoh9KmCrJMoahjGpMMcVksdlqoR9FhzJONjEgEok5O0GXOBVFhz3DUNSGpVQhqUQXoznnk0ltLlTVKL0QfGkCwDsohAAUQKWQisgUyHwDkYnzfjc1ZoNINW4oDOy9yzJStRQjO8fMICRFCHUiLYdmLrGyutRbLABU0WBQMbOeae/1++1fdrubbrahiDokSdETgvME7SmiIWRZlvmi7IKAWNx09ZV5yBu+1RyaMXf+72A2sXzZ2mvMGGm2fN66/oZbQLTDztuGnNlTsz08f96jIiACMVQq71hilfnGyV87pZX5Zh722W8/VW232ggBoswQQ2CXJMUYUxQy5N4nJK37pJhznBuHKGpa3nX3XWedfUGZEAVMKc9DLyZ2ThIaIQdorz32jEVn2202E6CO2wNRUqnTdSQBnmMsiRkK7ylWmiLyPAcgKo4dgKKsI/AQQgaFKvbYY4/lY50jjzpKUY0vX7z5zPUajSntoSlPPvVErrLimQXrbbJpNjQyfcb6caxijyTFnbPv8ZmbNn362WedVQe+cc6VwXGDNMOy4hUveXlzeKgRsuGp07qdFYueemKzjTfJnMvz5l577ZOSmMExTeb22ip/X1ACAnpFb5eddx5uDA83hn71s18ajBwdOOvAPLSz0PzpzbemshsC3/vA/Vk+NGV42pmnny2JTAnEzpGqQS324q477NrMGj7PRmdMXbJ0DEm333gznzWbzfbwlKkLlyztW/tWcftOdlF7nnPOPj1rtdutcMShh5hEpnDKGadnrdHc0XlnnJ57Uq2gabtttm812nvt9eauxsw1vBEZ8kbGKqgiVK+97jrKMvbt6667xdj2f8t+E9WCU79+zIpOV80SsEpTmef/8acKEg4YMGDAX47VSPytinMumQEJiL4dzJTY16HZWhTI3HXXX9MIrpm3DjjqYLHiEx87qhhfzr7lXLZw0YITTvgcquWHHXRAI8uHhtaYN3+xAs7RS1+6U6OVNxrNBY89evopJ6+9wTrf+eG/jI6MDOftn9/6s55EOO6VBRmaLiONVeyUyglUqTh2SWXBM8+stfbaITTaQ8PLl49dcsnF99xzHxhwrLCPfvzjZVnWolS1tkfiuE8fO774WZh5nz3x9BPHH3+8d7ZgwWMbrLdm5uind/y6KCoI7bz1DqNDU9ddf4MlK5Y8t3jRP/7j5w6ZdXgW/B57vipBQE4VGo00ALWlqHfQwQeGbFpzaI1H5j+NFD/3jx+/5FsXt5t5a9paD8174syzz9xw4+2///1/b7TbnvMbb7jBB3f1FVeEkLPjCy7+hhF+cuU1Xzvh+B2327rVahx44MFm4EBJKudIBM4Robrh+stHGs2Z07dc+pxBZdHiJ7/8xX/+4AcOCsSv2/2VkUDOJxWFNfMGpEQsvbNrr792cdX93mVXHP+1E8V0331f94tf/KxTdsuY9tl/f/L+vvvv//cff/+sc87s9cY32XwT55AE0OTYCJKFxo3X3HDj1TePLVsusbr2qks96xNPPLX5Bps38+Zwq92ZWPHsooVfOv7Eww87cqjp99t3j6IYJ9B9Dz6cZ2GNkRkXXPidShNl9spX7DLSXvvCC7+rHkvHlqw1c8px/3j8/m/8e3Lh9fvsHqvyqsuumDF1+sy1Nli6tFdVyTl3xRVXMGXNRn7IEUdUgvvuv//UU07adsftQ7t1yKwjJCF49g4xipk5DnXtmkbeUoWK1Om3WZZVVeUdMzEQR6YPz3vuqfHu2O2/vPegDx8o4yu+/IUvXnvj7c90qwcenHvqScdDu3PnPXDMccctHe91x8aOO+ZoAhJVXU1KkAR0HGyomQ0/ueDZ5bFavPS5KaMt7/3uu+/e6XRijDfeeEMjd0RIsrKfXu1pVSIjNiIIpNFo3HXn7PFCFzzx9AEf/sBEZ8lPrvjhS1/2yqLQYqJ3xWWXVuWKBx6895AjD1/cneisWPrRjx3pnQN8mdRgjiJEgoY1pqy98JnFnd7E2Nii6dOHJcYNZ27yzDPPxFg8t3Dx6NQp5LlKGlP/LQfzyoA/hYlpUomHH/uPRbUi9hY3qrHf/vz2X9w957ePLlgh0eL4Gq731CP3VkzbvnzPH1x2o1WdO26+wnNTJjuymCo8I6UrL/3xZVdetbTTKavOfvvtqbBEydJERmVzeESJqqSo3c39CpEvMPENJOCAAQP+2lhdxN8qnUDrjguO65piFoFSIFVKUSAKbjQXP/vkBRedV4nEsuqU+vM7fr7BRms+u+CJ66646pqrr3/22WemTG1ff91VH/iH9xTdiUcemfeFL32+W+DrJ33tjFP/P/beO16WqsoX/6619q7qPuFGcs6CZHMOKAOGMYz56c9xZBRRMYdJz5nxPXUMIEoOYhhHHQMqoAgIKpgVQRGUjOR04wndVXuvtX5/7OpzzyU4M+/NzFNufz/NpU91ddXeu3bX/tZ3paNmtRnODXfdbud3vPXtd9xxx4tf+hJNg7m1s094wpOq/mRjua5rdiRtgAxtpTfdZORiTm3y+z/wgZ/+9Kfz8/Nf+MIX/upd79hyq81Xr1592eVXnHjySavXre1N9Hu9JW6s6hLhQNb5rbZbuW7dmrO/+tVvffP8ufXD7bbZPrfNZz/76Wuu+vWvLv/pv/zrl5iqz5x0+je/fu6qe9aefc433/nX73TwJ0779Aue/2c5zxxw4N6XXfFLB4TBUZnY0jx4/XfO/8pLX/rSYevXX7fqb/7672HDu1f97kc/++Gdg+aTn/7yty/68ZFvftutt17y3D97/szMTM7NM55xyD133PnjH/+waeaz5l9cdulV19zAJO9///t/+MOL5+bXX3XVVWvXzoFZAhuBAlJKIDr0GU9fu2bNXg/ZJxAxskj+xCmnvurlf57aZr99d736+t8lgFgAS7kBOQI1zTBpdsZckw581KOdsd/++377/HPdvTW0jgQkmAfz4IO2iRFmqARRwORpOI9sX/3Xr518/OnV5BLTdkI0Ih999MfOPPv8QdN85Quf+dt3v9UMp5zymec//0XD4bo9dt7ipt9dc8+adc974QvWrVl197q5v/zL1yHUivYnP/3BFz9/aqOuwGabr/zdTdd++Oj3fO0bX01q53/7vDpWz37Gs9bcdc+euz4ERv0q3H77nV/+8peH7fphm2abwfnf/S7F8J5/+IczzvrqqrlV11xzzfo1MwBACEFU1dwI5O6lsC+LwAxAzsYcKIDcBYAYQnbHdJzeY6eHSn/SA6rQ7xMu+uFPfnTZT1Kz9gcXnnPC6Z8UrtAALQAgkAQ4UAmAAJN+PcGwDBOKbaMlqKLEVQhDDQSEkpi5q55yL1umOTyEHhImYv9xj310v1eRoGmaKtLqe2bOOvNr99x12wUXnnviSSdJLBFQ8IymRQghWePFpyE5lIk4hEqh5lnbJJkh0iicKTA7EIOEEBwO2L2SIxYiqFTnnCjPTPd985UrpF6mNDVsvZ1bc8Kx77/26l/++sorDjv8LbvuuaMZOKchciiUtmQ2bFs06cc//NFRx3y0BSfAAYnMTJCkeXZ2bs4cMTCAlA2QBSXyPveg/8T72RhjjDHG/xU2FfK3gAw1VxAFYsCABMpgZ0jVZfjFjy/52UGHHOzu7PS2t/3NVVf/Zmo6zs3ede01v5mbm7vhhhsO3G/fL37hX5/9zBdN1lPbbb/ljbdcF3t43nOf/8xDX37csScRUQhBTdu2DaA0SL0ecWQFWJ0dYHYhEuqTr5sbGCEyp5zbtr377rs322yLquJDD/2TEELbtsR+8cUXq+rvbr5x+522z0ohVBIoZwAWxKoabRrceOONq1etu+bqG3fdZbec87ve8ZZ6qt5is+nVa9ap4pijjnvEgY9ZsmTp4x/3KBEGy9Of9ownPelJQLPjTlvdcvttCjQK5Dm1xLXB13/+C5/+k0Nf2uut2Hn73VetWgW3ycnJI9/0ZgW2323nn196GUtPte71egtGtx/9+Icf/vDR/YmJIPLZz37W3c31/e//35PLpplx8Q++t2LFZHLLUGYDIJHhitAjSM4mDA5mKT3tKQc/9UlPBHznHbe46ZbbW7UWaoRYIp1zjnV16DP+dPOlW5x17rmHvebVodc78dOfbtvhVC+++rXvcEJyB5wjK6WqiuZghkPVWlgb65436Zorr9t28x2QwGyEmbtX3XL7HWv22GMXOJ55yFMCDy3rE5508J8cfAh0fu89t739tptvu33V4a8/srdkCWyobpAe0JOKOSSpxBhZEWPMNpSKHAauSpwynMkpijQJl/zs5w9/+MOrWDXevv0d77ju+uud8KKXvWT33fZU+EMfus+qVaushAsDREJEDi8Z/kpuJjfDKOi10WFNIaIH06989Z/7E9NPe9RTj/6n4zzWrzritXvvtvty2e573/9Jvc1Kje0d11x+wXe+s3R6+fTEVqec+sUmd0XsoA0ICA6fX7X6jq1XbrZyatkRb3yHxpocF1100fT0krqujz/+FGZYl70aADBKbrJAdzKQ3W64+jdLJmnLrbf4x79/LyE++1nPOeHkE2LVf/lLX3LQU56WW7/qqmsuu/xXy3vLpieWn3LiJ3P2ugcHIvcDVTCB0Jo1d26z7ZZ1FQ8/4g1CdVXVMzOrttlqy6l+741vPLJRJ6Bpk4NK+PyGZCvonP6YuZ1f/ehHHFBP7rzHgQ/fdZ9993nIjnFufovppdvtsftBf/Y8j/G2a6+PzWCv3R8h1ZKDDv1TL4G7xTIPAgty+vHFP/iXz39hq623mYrT3/72j4yoRZvyPFPqTUw6IwMZCCOv0hJoNRb8xhhjjD9YbHLkj8BEBHPN5QbvYDPLIQQoyICUOIqRlZKmSdmJttpm2eo1t++ww7a33nprzjY/P1w2veyqKy+dG64dDGe+991vpWS77777uuHqHbfdLoTqvG9fQMJCzjlXHFpHAxhwynEnRA5xoj7+EyebpgkWkiARyRFDbNs251xVVc7IOYvQ9ttv++tf/3rLrTavenF2dhZAkKDF4BuQbEjI22239bXXXb3j9jutXr12MGhS8l6vV/ci8gCUpIrDQbvtVjv87oabh/Ozw8Hg6I8dnZMSiYi4NiEixtjVKojEkjzPwXTp9LLrr7ti9czqe2Z+d+75X0UI7hxjn4DsqckDeMVYYu5mVkIjVfXjHz+qaQeNppn1a/fYYxczq/o95MwxqjkRmGqHAWmUVkSQjDiSaQiADlkQpJcbWDMMkjywuhGE0WW5QxWaZvCt87955c03r5tZX2KN0Q6PPPKN86n5sxe8+LDXvpVJFObkqmrIRF0aEyYHM1IiqZpBe+dtd4AAz4Tk1po5l+IUNcUAVQOqnAHPTCnr8Lrrf1fV0zYcIBhgKcNB1ra9vrR5mBUsANiRsg9LbuOSuRFqMIOTCEQkVuLwQEHdkqnCSSQhCwKPvDlZkJIzE4HMTE1DCGbmCgoBhkJ3SDIy0Loy/uxFz8/NzG3X/erZhzz/rnXr99n/gDxsbe6Wv/27v95yj52lx7N33nrJL342N79mZv0dp37iszPzBjB76omYZ1QtllU/+sWPU2pn7l47O6vnfOfK5StX3nDd9U0zTG1z2mmnXXHFNUwQRhfc270wSkkDQmSSnXfbfv384J51Myced9JVv71eEC7/1aVz82vOveCbS6eWbrH5tsNBuuA7F941XDu/ft3pp58OUvMSOE9uDBYE/PTXv1i/fvVsk5rWL7jwe3C/8JKfzAwGg3aoqueddx6AqooAQggbZXge8VEzm5B86S8uGeaZsPl2x37i9J7hc8cdk9etvv72O5fvtfdWu+zW9/xPf/XWS3/4ncbWP/mZL/je9y9uWkV5MCSHmrdp/fr1w6a5+547b1m99rTTT2/ahsFSSRUopWQOAhaitjWVGbnJ3VrHGGOMPyJsEneoRf7g3rOarIKRhMCIcEHWJWmwWW6JcCvhnrq/7fa7nP2Zz3k7PxPmPvnRk/bZdr9dt3jId8//1g47bb7n3g/7xKe/vcMuT9hx993PPv/LqMS8ahUsTJGQ1/3p8w/63Nlf+dnvbpmnaumKJTde/8u5wR3ZPQPJ9Q1veVNK7mvsrX/xDpX+7TFtRsPJjGjeWl6+Yumt11xz+2+ujoRzzv/hwKpddthuze1XC61/wpOf8JF/On3PrQ+agSqbtaCMqBOuS3fbfucfX3zullst23anh37mjO9vuePDhq1YVlBNsqLXSi/aTntM/fRXZ1M9FOgkTdW6rLalQpRpptU7KmnQgggp10NUFCaBapedtj//O18Lcb5XQwBYDZvU7AM3n5xo4vK5VK9cvt0dv/5ZvyVvYUi77LPsM//6MdMULCABhKzWDGvwtCYRdkeGokIM7gGJcgsIQgTPozfTYtjKirW25Tqatilwb1DRzLznKlBIjWgg6Q84NXHW+lF8cpte/Yz9d//1eWdgVtBuCywj6JKddrGqx45eg7iGp/IypCor1LPCQZOqUwhLPFYv/PNDPnjym4Bhw0vuwQ7Ty3dbc9XP1l15JWBfOfv8VWDrT7ReN4JBNWjindEHB2y/35n//MVBPfXVH3z3+H/5aD/cWtuAsfXc6mUTw96SLsl0tffm+85cfhdnrAsAZ/AMeAaT1QyFgeXtdl7++TM+N28xp+r0Dx974O47z8LmJpYFTK4YSrRGaA4yk3kdV0NQ0twGxKDRE4OCCTJmIVlsosqbL52bEsF8pfOIDSagqBnLvZlqYK5Wz2rIz33EY16676HRttrlqYf+79e8bQK4c/Xt++y/zVSfkeXssy/q9ZZcd821CNxC2ypC0It2za8u2nvniRwkSQWub7/9nsHsuh23Wy5Il/7iZyzVBRf+yDwaAkBtGhKAFhOpCYlAEwiCKV+j6yYmJqyJlU+504dO+PBMncOK5fsd+Ji/ffObltjgjlnstvd+83nIZOeedeZUPXXVVTdktjSVUn+ulflJ4OZLfrPTltvaBKXJYZ+Mc7r0Jz/Y+yF7AJibm9/3gANe/drDk7NScA7g4ICV+nuMISaNlgjqLWSi37QStA3JY/zu2Rd/4/Rv7bTVvlvu9tC/+8gHlm7VE2vuvvGSHVZuVVV++RU/qifo3Au+o7FPW27+pIOfdNgLX7DccdN1t0xNL5uKoU6J09S6sG0v51oRgchwhhIQuAQnC2z0GiXFpt9zlxpjjDHG+O/DJkH+CkYZyRRsznBFzgyaAveThdce8fqtlmy262Zbv/Utb3zonnu9+91/PTG5dEk99dhH7PfUpz11q+13/txXv9GbWrLZiiU/vOg7W2y2/I1vedsxx5/Si9MT1dQRf/GmmvDhD31ketnOdT15zFFHv+bP/8Kyxbr/3Oe/cLPNt5ma7F100UWRJOeMLiEw3JlRf+HE47aYnJ6anDzooKeb4rzzzn/8k5/AoXfU0R886uiPrFix2de+dubSqSWbLV9xxa9/teNO2/VAMOIAcxgDYpttucOXvnTuZiu33mmnLc/75ue33Wrzid7m8OXgana4iknrifr9H/7gS1/xyl7Vj9w/4bgTiZu59i4IxbC04s3aYWaBEIi9AmurqCb/8g3v+OhRJy0Jk8snJl/zl4epDQbeVr26Jqa5QQ9aV/CYXvKyly1fuWJiYuV555+770MOfNGLX1ZVS0QmN9982/VrZ/r9PiiDIJEdDgQRaJejzikEB73/fR+cnFp66WWXrdhi+RGvfw1DmRp3aOMpTVamrhZi7WpQ7aF2rVj6OQ17gle+/BVvece759atedT++8YY+7F+xpMeffT739vOzz/ykY/8s5e8+PVHvn7p8uU33HBD4IASqixQgCS/8cgjLKeV/Yme9J/9zOcTyRnnfPNxBz95YiqccPxJxx11bJ+o5rYnqNDzPA3u7fyQbZ77vGdMTfS/+rWzPn7ccfOzc+tWrdlx2+1f/opXvuntb1ix2ZZXXXU1S3ziU5/69+/9n71e9aQnPTU1w+OPPmblllt+9wff3XGbrd7+1rfu+9D93v6Wt01V9dKJ6Uc+6hFPP+jpkYCcGYBUEkObjahyhDYbQCGEUjuvGJABY2LNSYLOzq7DBLLaoG0u/+2v+7HuTfS23HKrUz5xyuRmm3/5y1+rest6VX3Mx4466NAnWkqvfc0Rz3nOc1jkwAMPfPvb386MELDg0lem5X4HHCBSxRg/9IF/2mWXnVatWrX77rtXVb3LLrucddZZExMTBjvggAP22nOv3/72t6owMwAhBPeSEBt33nH7TjvtFKsqCL/0pS/dboft5+fnt9xyyyVLllzz26uOOeroWuLrXvPaFzz/+RO9ie233fY97/m7JUum1NRdGVRVFTPcfZ999lu2bCWzvO9979tjr91U/YADDqiqqq6qj370ozvvsKOZ9/v9l7/sf1xz1dXdA14pxAHAuaSHfMMb3iDSE6nOOeec173udSmlhz3sYSGE973vfeeff36/399nn33Wrl0bpKqq3kMf+tC99ngI4M5EhLquy1z9h3/4h4c97GGBJw4++Okf+Kf3AUAIIC7hOyWdNRNy9qzGxMU7c4wxxhjjDxabUG3fUbGshgBCZcpMME9saxEjMDWP4IDqYFqcFNmDhSo4VI04lUKsjLodoq4BSqrzIhPQCIKZGzVEZAxHnYGyeoMyYphzT+Q1cVCLXHkCBNlnKaSM5QACwA7LTSABszMrAPVACh1m8Zb6YqF2NJQjBWaowdizDfskaA2h1ySVnhggBthAQgLSvK6cEIM1IPYUXZi4VCF1pDZoQ5Gz1AmRXWtydBavEmDKQDAz9gwhB81k9xC5K9E6VyFxuwTE2UB1A8y4W6AVZiEbnGFqvcg5D0IQQ2idWVEFEBIAzVkCAQKLnkERmVKJKAgORgNaP4vNK4BSiiQQM59nRlILNKUaOCC1g2CQqg+HBqRSawVJm0Go+k5xkKyKrGpBOGt24sgsSPAhqMVsH5MT8wRV66dBiLWbWQwKIw9ssGyxnkdah7g0YcqA7ABlAdi1soDkIPKK54gIqJCjDuBAmGzAlQ/IAA2IcQgoTHxWQIGns0EI2TWzKNADYvJidFZrEQLAcIOpiOSBhl5MCpcmUibw2ttn3vrGvzr5MyeGiToTHMbwmAUGtIBk9L3USSMLnp16WW1OsDRnkyBOGLYQATMYaJu5uhIWKdfdXUCkgFgDiFtggZqzaNJWM15/xJte9KKXPuMZT1dLbTOY6E+0LapSs4bE3YgZRk5w92waQ8yag4SmHYQQAFPVKlaaggMhQn0oVJGzO9QySyIYPGgOQQSAWwtKzv1syszCMt+0AL73ve+dccYZxx9/fHm4EyJ3JQfIAKhqDNHcuoJ9vMFAnFKKMRb/CjMTEcCGCIKWtRHpaY7uCJzd5klq5brJCIyg88wzEPvYMcftus/Tn/a0p0IhAqHu5nivwncL90wfa39jjDHG/x3GtX3/wyjKn8JabwBlQs5gjohLFJJg3mo0LJFIEEhFEnLOTCkENq6HiIq6VVQ1msbanFl6cNY2wcHIoGhcO8g1h+TB4C6g6KCK0Stl3oXVFAIiCPcEkzUgDtNS1qKCcLbcWE6qcIUqJDIkEphghBpB81DRgFNGDtwzD4gV4HUl3iICDqUQkoljoshFOamrUWSmUkQtOeZDZApL4FOUIqNxtGqa4QayzNAKGnLOmTQLtZos25IQawAAw2owZwMzAkIFhqhWQtNaJD5GRaiEUx6EwOrZ4ZFQhSJfCSDE0SyoIltGdPNcaCVMU8pAjbykB2UghghT5JapNu8ResQeYmL3UPfR7ycMjbM4arRi8wQLdd3klJGryOyIxJ4tcgjMCZZAoB5SH9WENjkAPWGpJx2sQuaILtFhuY0V0Ah4y9RUBgzTTCQEhIAQLcIFXLJ+5wANAJwhQW3oqQ1lakh0iW1GJPQIkWPkXk6NAEwgV09NDaQEjYRIACRU5qwGJhYRtxz6kjNC6IJYUx4otd//0YX10t4xx35Ms7tygDhnCNAHQoCF1KpZhoBqcnPhukSKlJwkdQ1mBEbbtv1+v4QppJTa1BKVZz6oKjEDXlLzZM3XXnvtRH/y0Y9+9CGHPL1ts7BM9CcAxChOxa3SS/kNcBd2UQJyg4ScUq/qkyNwrGNlpiyQTpNFzo3DSw1DpphaJ+IQRRU5g0JlECIvucQBWMqPeMQjPvCBD3zkIx/ZyOeve8dEFEMs4TLMLCJElFJS1YU9SyUVEUkpqToBKSXmsKGCtDAxl0rLoUQCM19w3oW9uM273vX+SkIkxIDUtm3KakqA+8gBcIwxxhjjDxLh397lwYUMjlQ1eVhLDII2gSvOYAZPRoEC4Nw2oReZuA6AzjsRKBCF1pRJjMCBQ6jNWliSXg+WEajU4WUwE1gICSQEEXXNnpg5udXUUyqFEsiShxBBiIRS6kBAgKkQUQhAcCDD23nu1VzqfADQFCvJnhpNMfQCyKFqmUw4RHKogsQVytwnZyYn4lBNmQ2JEhDn1s1PLusRPCFXHJEhBDiBWEgaZEKkrp6qORIotkAtE2KAoWYkT5k0JA80iYC2basqZEWUJcmTmdYStEhXBgms0JI7Td3JskhU62JXzcBSiq05CIRoOUdhqtwcHuqAZJlhBGawwAheCQE675ad+0mjSiZRdkYGBdaWuBfNUMU6I8MSG4PEhw1P9VuYgQ0UQMQRChYzHQbppdZDxURsuTEQM4eaNLcS+kiIERlYEkNGZgRtPURGCzPjPjc2TxwYEoiz5VDVQOAEIskQZ5hrBWraQV3VDo8xwtzV2TEZBTCO3AJ9h7aZYgCBS9o4UmIHTAKrlmp+KYZq5ZaT11x3ddMndaqILKNNbR25bYdV7IFgyWKswa55KKEiYgdyGsZQO5CS1rUY0DTa61U5t8IAPFYVQO6eUq7rSLFKbRtDD4ycswTZdZfdzFSV3Et8qw2GgxBCDKFtDZKIJEjgIA60qQ0huFHOWZhjjG3bdgUJnWDkgHmKkSxrFWvAQ2DVJCIh9tw4Z2PiUAGASASRmUYJbU5TUxOXX/ZLhQdh62J8y4OvUJfRic0zAHdyNyIp5XxERNVjrAAQUc6ummKMABqgjjUhIytzMAOMShCJmpGwGgj+tGc8a27+bomTrfdVYZZ7dVWepO/D/DahB+wxxhjjjwWb3I2JEYFQhaqkYiU2RSrcB+jKboWq5+5qDSFDItwj0HP0WIQxUCDALAlBggAwodk0ZJbUlvoXQMpgWIIaiCVyJSAhMUBYzAxkIQosl7DXLuOGa86ZKLauaqXeCFNdp2YWblKoaWiHwzlC6IVeAJkmZhbucYiq4AgSy3BH0NTlNLQMOJg52dDQTi6ZcGVC5XB1L7wLCndvLNcQgiJo9ln4MIbixxVahylgIFjlWiMG9JHroWWpOGtLFuAQilHEoUEAAykEQhCh2mGBVCi7ezEKD0qqOSgjG4YAcovAgTIAGHkCFJk7QzQB7Ki41JgjpigsFAVAFnDJzta2IVR9Vy71FQKCuCBntI306nZ+jlwBc1BrcC657TwIESwKWQNxCLEEcnaFeKhBpSY0dNCSOtqW1KtC9yvk4AqtOUbnaA4kJ0vuAEiglt3dCTHIYDCoYw13zd5mdSaDizBUPbVZy6OHSR1YMGISsE7KciKIwN0JDJCroa4UJiQpgQhVrJrUSlUlhTk4CphyShIqg2fzzoOwc2iTnBEYdS0llBhd3Q4CkHOu69g0CV1+GVd1AASqYpW1mErVzBze7/WFI4AQOYaaiLLm8oOqYkVEIlTXcUS5ohBbdjgzM4vGKOZWxTprbtoBs7l7zuYuIGZhCl3wUFYvbXPXKKFNrQgF4qzGBF5kUnXqJFKmUCRAEWFmItpghHWUo8UYQ6hK9LQABgNEQWbdgDtLqRWXDUEQJAAi0ncTIYigFwPcmrZx21DsbowxxhjjDxabEPkb5YAVLZ6LTCQwH7oPBApY03YOb65K5IHF4SX1M2Xl1JbSZKpQRaknYG3OrhkUY0+RehWzGwDE4IqZubn/7+WvHM4Pk2oGqRsDSRsih5s2s6AWQmpoc8tCgAaSnDOTMGCl8hflWNfmrVlx+W97vT5DoM5wTxmZ8xDu4JiVhw0SIboGIQFDCwXL6RtfP3P58pVX/uYqELRVQSAEIkcEGMIVUSUckJXMHCqBjDOANGjEIQQLgABZa66otSKzOCugQYQBd6Ss2RvN7ZMf9/T5VcqOX1xyaawnvn3hRarqPrTB3JFHvO7a625JBq4ANsfw618/Y+n0it9eeV0MgKMs4wR3WF5w4md2joqRM5WzQRRK3oTcAG227BEckRxOXeqNQaskjBAhEfBqos8UGBSAwEiNZvf5tslwg77hiDf+7rpbCgVT0ExuFAyQ5uJnoXUdgF4MFef2yDe++bfX3bxezSJlJIA5MVTJ07Ef+9i3L/yugpOBGUzm7k3O/f4kDCXS/FWHv+bxTzsoaUbOaXb+wAMP7E/XHz/pJAiyDZO2DiVCVzbDtFDAti3yFaOkRMmlAjJRhBIULjGWurTMAMM8hxjVQZBSIw5EZnkUpQFVV3UhLtSHiwnWUGSwuo6as4RgcBEKgVMuZQBDyilGCYHdPSVlZlVlRuF0QYKaZs3mVuynZfYyExGBCUwGJw5EppaYAsBEVFdVym0IIYRQ+BsLgGyWQ+AQgpvFGIt7Xx0rcwNZJd19TDb41HFJP11+9UTkTiUOQ4TaNhNRGQQRMbOyA5EwEEZ3RWG0RSjmmDUzgWEEJMtAUBPiyk0FUFN371Wx+NFsUu40Y4wxxh8jNpWb1MKzOAGCUCSElLWO0iP/yAffW8eqv2SyXrpifTMD2De/fmav7gfpb7n1VvPz86vvWrXDttst6fd7TNtvvcXszDp3hxNX/QxymCMxMruym5s5wwKGzZyQ1VVFFAmVUKWuNQdmaDMv0b59zpcp9EKvP710yYknHufzg4fvu9/JJ55CjptvWvWavzzijDPPompK6ulQTVd1OO7E01evm99ii81jDFWsTjjuVFj/Yfs98uYbriNvFO3Xzj37dUe+WQ0BEAE0EditAQ+edcgz1t7TPmT3fUEIPahpREXkTq26OcPA5g4KmpKYwfGRoz7GobdkxeYHPfVplJRy1pxVpFGwxOIRxuBWh4BlVThicKHMoDzIlBmGhx1w4GBen/zEgyqphJyzVkwpNUPH0GDIBH3en/7Z7Nq0+y57uiGrAtlUHSpICaoMCEzR6siL3pAdCaW0cq69PeHoD/fqCa7i1IoV6+fXgVViUk9VJXOmbeAslBxeaFNGDUjbVkGJmn5vokWYaY0jkQ0AgGQICaGvMAKYgQAEha1HZhgoD8lT6ykFDNECTBpBxYnCBsM5diRNFEBQsmEgJ4TsMBe4JtdTPvGp8y64MFS1pRyr6tJLL/3SV77gNG9mIApCRArPKQ0I5MQOhqMK7JoBy9mu/O3VVT21dGLJX7z6LxRwRovcpTIEUnIFjKh1ZWJ3mJuhlJ9wIifA1INQkI4wMbG5+agShZvBIRK7ES8hGiGaw+ExSNaspkwcYywBE+5eipE4vDP+EhMV/oScDYRUFEhmYla3Yoc1gxk6+TCwqpqCGaUiMzNAataF0BKRqpqZmTExEZkb3+de5qBCKEvnVDWE4O5mqKrADLMy2FSIYGGBcCvEUUKlGVWERFZTkaCehGDIgQPAEnqmKJSaQUIo1VCIqOh/Y4wxxhh/sNhUyB+NIADMolQOSBD3Fmn9ysn6mt9eds/Mmr/74P867V9Ov+KqX33s6KNX37V2MLTb7r59atnyFVtucdOtt37wn9777W99bf2q25ZPT5jCqUqOwCzwiHTu2V+vOEzFic232OrW1Wvf/9Gjt99p2zO++Pl+rPq9Jd+84LsGCSRuGeYijjyr7aqPHPvxVYPBusHwiNe9gSg+4ZGPy/NDVkzUE/PD9pl/+pzZZuZzX/nMx0/46PxwePgRr06Z3vCGI3KevePWW48++uTZIb594QX/8I9vM5+Za4Yf+tCJ7/vfH3HLIhnukKgJIeZzz/zc1MTUTlvuPbMaObe33nXde/7xPa965WEVh2c88+nzNhgCDlQkEApSYVbP/9q3zv3Wd1e3unYwf9F3vx09rb/tlofsvmuo+8u23f6eubk1d97+4X/861cd9qqJetkhhzxdKDHrOd/6SozLJnuT1119cyC68dob6hiXL1l27dU3EehXv7p025VbnXrSyQfuv9eKFVsc/oYjFOmbZ509JdObTWw7XO/EcJn78tf+tar7vVC//vDDDOnnV17xweM+vc/Dn9KLS444/AgEeABCJEQHSBMsTSD/9spL1rTtX73nyM9/5VTD6q+f+ZnJ6SpO0F++6chZ4Ce/vfI1b31zApqBvetNb7vq0suQZh+z+9bTvX6s49T0yutuug3sP/vZ96ZirCeX/vb624YQ80RmxRaqmEeY+83l166op5ZOLfv0p06TYI3OfePbZ/divwr1aceffs/dq7fbYdt/eM+Hnv2s501O9p/89Kem4ex555xZsUzU/cklW69dNwuRw17z6umlU69527sSwCEgVBQrg8WQQEFYHApSkFaxyqpCFRdmSYBnQFevvueFL3zhPavWDmfWB+Lzv/e9Gdf51BBciMkQAhlcASqlQQhMgdApc51JlBfkcABwJ4IQpAhXJS6kYGFLUdHKRhFihqPTzAqndOv8+LhIt+4dewZCYHeUfI8KKODEAOAMMJzdi+JbTLQYtVAdmcjLFmIGIF0xXyaAQEy8wFlp5Pjn7ubmTsyhhHSUxlPXLsQYumK8ABGVTwMxRpKhjDyihQPAkSQQBO5wA0pqG4IRbKGs8MIQ3avW3KhtY4wxxhh/ENhUyN8CGCYucGguuoLBdEklmtpQVbnmbXbdcfnypXfecdudd97NAqc4lxoEgHJgF3YgiVAIocQGqoKhAn/205+ehrOzc2s+8cnTP3fGGW9+59t+d/ONL3j+c9JgMDc7e9DTngKUWhHsOYMIGFZVY32BICsAgslkPbHTttv/4Hs/ME+D1BgHRzQPrblICAS1NoCQWWhq/4c/LkxixVZLXvCiZ5520vGfOe2zb3/b3yxfMtUPCgwUbeuYDHAbHPK8p61fs2bXbR8qLUigtX/i05951ctflYaDXXfd+upbrpsvFa3a7GAkhdMF3zr/qI8dZ8xDB7uhHX7oA/941jfPWt82x3/iU+94999kt9NOPfG1r35d287usstO111/5eVX/OQjH3mvprvWrxnssft+pthp5x2bZv6Vr3gFe9CEffbe/9ZVN7/uta+84qpf37XmruNOOL7V9lnPfu7suna/PQ60RrMO7llzy9fPPmNmZm4434jpz35y8TzwV3//j//8pTPSYP2Vl1++dn44AzNQSg1DzBw6XNEPTDCQ1L3ttt9xzdrVX/zS51evvnPN3KB1+tZFF2sd5i037r0+C9JU1E9/7H+deux75+dX/cu/fv6oE07ecbed162fvfRnP5ydu/vzn//8uRd+f5AQqSZWFjhAbKvX3vynL37hLbfdtW527s9f/jJw07Tzl/z0F6nJ7Xzzqyt/c/f69Tf87pYPfOBvLjj3a+38/LfP/XbshUMPfpq265MOTvvkZ//1i2cAftppp573k59mpk4gUsugrG2g1gnDBHMImBwAglRZrTgbEECsg/m1l/zix29925snpsK1V/7ms5/51BVXXa0kdZwaNPNAKW4CAxnYAHTRDwC4FJ+914+iPBY5wenexXq9u0UYYGU3hhAEpfrZxgcBwERMxCUzUKFaG5MeIxgtHLx8Qwj3btRCnTZ3B8xhDvf7K5m28D3fqOEbzr74TyL6/UV2F2VitoWjF8EYKFSPHOSLLcz3PcWG825yN9gxxhjjjwKb3r3JWdXhEIEjARk6XHPP3Xvv9ail01Ot+qFPf+a222536SW/eNaznlHHyXN/+AOJtcPA2uRBWZe9BGc0wwBUAkZAsuHq1ftvvfnSieXPe97zIdzC1XMdBMRVBThK5g4AZgZ3uJq273rzESuXTa9ctuLoo05ArN39WYf8yZe++PkmD6aXTcdIjgpUSYhDHTq8CnrKiaf04pI9H3rgSaef0AiGNvucF73oxONO+fVlv37us55WEeAGNWYxBrUgBph5ejKoTlZo29ZD71GPf+qjDnwk0O691/bX33r9XBkcDqQZwsjzP/zZ97fbYWt3TBLgMrdm3er163bYeScHnn3IwYFjynjMk5/68AMfFbh6yJ573HjTVTf+7jf/8+/exeAqVjFMpAzAHA2TkyMIVAkYOBp3ZYYQ1zJVgmIicb8Xsg4u/vHFj37842JVk/tb3vj6y3/206H789905Pa7rgiOxx6w/7U3/c6YFToRawFz6MN99d237b3nw1f2pmNv64Oe9oKLLv7FU5546ES1NFDvTW94y1VXXWME52w+dG1dhyKt0azzeoQq1nHtzGo3TE8uf+uRb0E7v8dDdvzZLy81QQMkTWBLmtzzHbfc/MZ3vnVi+RI4xwBLsz+8+Lsf/ccP9OJknOh99oufa+DOfQ6S2nlxCy5o0sw99+y83XaRp1758lcaGGYCCbFePzuvAKQCBwP1qghtB0NUMQhVhUdpNoCDlFR3yLlhRt3j+cH6ucHM4a97/TvecuQPf/ijX/3yylJvt1cFQBfxEgHgyChxIy6LfgnWVWcjQgmnAY9eKGzvgerTUveyEf9bRLOc4dyVfVtEJO9F7dA5ct5v5jtefN5SZXHDN0dYfO8qgenkCw0DgxjO98fzRpzQF702bhoYKDmiFz5iG8WTEJw32nmMMcYY448Pmxz5c0MIYgoHYhB4gsiKzTa/6upffvcHl/z6l78FqqRKka+48pez7ewpn/mXb1xwHpDBJSIyKqrsYjn1esGTacawcYTe37zrnZ869cR1zfovnvHlpmkEREQcQzs/rxmREBlqDncJNVgQanj8wAnH3rZq9br1q9/2ttfrfHKjianefvvvedU1v5kbzM6sTxEUQz8lrSQIcnB+7WGHD4fpeS943vW33EQBxgKVww9//Ytf+LwKgDlZBE8AyGihAGJrZsM5kaHnLMxNU1Vxs8npHtJa91mQEpAUSBlgH86gZxrbu1bfWhE8AQ2cqrkmFwNYxQhUDVqKU1tOVnUpERHqcO11v3WYaU4JauYBCEQxpGZOgqeEUE0iOEUWCrmBWUmDJ/A261zWhoNMTC2db7XNJkEi09K6rup63WCuUQBO1nKUWegwDwlwBSBgWbZyxVVXXfKdy674+S+uGiYWmZ6bU0KogB6HyrKktk/c4wpgjnG+sT33eeQzn/M3xNPHHnfcW15/hDii9mze0Qvuc+bDFsgAS2zygNmE4s3X3tLaENJFhdfMMdNxJ57WDIZJh7ffc+sue+4+NEvZYhXgiAyYvfvdf/Xpf/5sY7OfP+NLTRqCyFwppWVT01CHqbsBsOyUOdZwoGnUnWFEJKpuQM4QQQgCzzCtQ3j3u//qZS9/yTnfPq/f7++/7/6WUVz6oOleU55gcC2C1SKGV0yunV5WaJx1+tkiXrUoPPbePyU43MnRSXNFmdtI9wIAWGcALfLeAiEbaWxhsXV0w1sqZ0dniYaM9u8a/wARtfZAtHVxjcf7McguiHYGL9cDBspw9S53SxdBs6h48CjR6gbQxsO7yd1dxxhjjD8WbHK3p+LlwwJymCV3RqzuWrPOEPbb6yHLe0tvvP4GsoCqdrbAeZ999oshEAg5p2wZkoCSuBbaEJsIYh3hLLHe/SF7eGq/9tWvCjy17YrNt/jN1dc4gR05IWdjZkiwUkhDK+apND/sS4gENyCI9AI8P+/5z/nosUfVE/XUZCQFWwmSdAG8mWIWw9zrjnzl8SccoxkBfYAG7Yz7AG4VERC0VfUcAAQ4QsVLPCDxOg7DKvYCpmfWDyFAO6ua+qHqmEpkINNUH4Ff/MI/+/AH/rcjmwARU0tW3HjNjXfcdAuAr3z9rEbT9JKV87OeUws4i6Rse+z+0C99/svkfOJJx15xzS8twMi1afv9fs5JHQYBy3bb73DNNddN1ugzFG6aEa03yTkPqzC5fPm2Z519LgmD7MP/9MGdttspwitGHQFSdwuMCjIR+nC25KqE0Gs0DJq89547xOi33XLTjjtuf9ZZZ+U0VE0f/dD/fvhee22/fGWzdi7Pp/PPveiEkz7rYbMzzvrJ726/sbX8rW+c43koCqbKUSGZpfkQkjmaDAWHUAmzJ9pt+/3OOPNLw6znnPutT376M+Jhp213/JdPfUZNzTxpFqDiasdddr3yit9ABAZwTaG3xTbbtwlf/tIXqijatpE45OyD+UoIQagScnjGdH9FSsiKqooEaRsTlpJaOQSk5GnYQsGh96hHPfrFL37Box71CBAdddRR+z30oUsrBDiDUaRfQLyz8i4mIrpYrRoZVrufBohA9yFNG70r/m4j7jP63oY9FolvtKjY2qJdGSRFjAZ4cVaUDbbgEi8C2mCCFUB85BR4fzAiJ/o3hLj75Yv3sg7DF5riXZL8hc12n7NTsa2TEztxKWcyzvMyxhhj/OFjkyN/TlBvwUYEsop8ArRkcsU2TauTEYe//OVH/uVrf/3rK6L0JPZ7/eqW31z5tCc++e677t5m253+9n++/9nPfM7KFZvfdfdqEKs7JDgwbFownvLMZ+287+Oml2/27Gc8czLGiVgF6T33BS+ZWr5kaqL3k+9/tw6U3BRsxG12VEuHTf89b3vX8onpiTB90smfRNDWG3Xdauutn/DEJ99xxx3DubYm5HZeRKzzN+pTrFAN99lv59zM/vh7P7EMkMR+FevIoJzgDql6gaQCEJCTH/OxE6anl//0Vz9ettXy1776NcGwbKrfaMaSZcJTGFrfS6rnbAI3A9dvOfKdSLR0cnJqcuIphxyq8Au+9e0nP+rxk1U4+eTjjzn+w0bGMCENwnODAWTiaU/7U81hcnILCunlr34+Kjvn/PMmp1aeeOJJ+x+w9yHPfMZc2yBO/ckznvecZz17urf8sMOOAPKHP3r09PTkRT/77jbbb3344Uc+fP8nvPovXzcxEatQPeLhj3nqoc8JKVXNDDnaNFQ28qZGdiC1WSoyuLrMexV702R4w6v/xxsOf9UuO+/w9re/dWJqaqJXPeYR+z/18Y/dfrMtaw9Lp5d/8YtfPuw1r1eePOSZL1uyxe5VL0xK/7kHP4cVSVutIqQS4p6kYM1UgKu4ASBCvev+j3vWMw7uT4RvXfTt93/4o8DEw/Z9xIv+7AW9idibqLfccsvB/CDlwcEHPf1/feBDkXtPf8ohyPzil/353vsduHKLlc849CmOVlX33mvvJ+534Jc+eVo/hHPP/dZdd925wzZbv/h5L37Nq9+ydMXyq666igipzXVdaTbAWMzhMVLsTYB7sLjF5tu86EUvWbFihdTTj3jEo57yhEeRQeDqBOlBSggqBFrSNKLz0lv8S7j3T6PQnI09+e5j9vUH/GP0BS+vxb842tjESjAGlddI4sNiptVhFIUMhCKqLeZVtLG+eK8//00GtsgF8P47WFJkbmiSjxq+0DJywBcfhDr+XD74/ecfY4wxxvh/iU2otm9BRhKYq5P2SGAODwNFEkyRMVMpOFt0C86wCLgLoWgimpLFWJekyFRS0jmYMtAAgAUwtzlz6JvDMioGM7QdQoAQMghgAQXAB3MUYxMqNkSCZkgAPEGzxjqBCQgtJMA4ZRDcK48wOJnLXAslTDCqABDMdYYkOKqcYyjO6K7gbKgYraZ5iaUMMcPhgsYRkYXmocl4OlGlySZiSlljqOAlrzGUMJ9TP0TWxC4wM6YmiAGUfEIIPjBS5+iI5MZooPMUJtwni+wjbJ6MQsiEDO/lBlKpkTI5GaEJUPYIrZGAGoNiF/R2gggKcJOpP4QEoAYITXYFVe4hAilBQmZOgDWYGIKWAmbGDFWFSJG2AshTphBArEB2D05PfdwTvv2Nb9Fypzzx5Cc+6+tnnTO9nOoA2BDia9AIpkh5mrvwT8tZOGTJQGYwo2obxBoOJTgQkgFw4Ww+L6gYfThgrbu1oTYiwGsYd7wk6ChcVHMrUgFshiRgaABR8VgjOOUMzY32qwkoAIW0gIN6agzuUpO4g8ncNHAseVIcCjKCbHB+o6QUeYFrAXAvtlXzDXyFi6SFQuFCyfoMOCDwrvnEJQu5lLMv/LwUUujjIpZUXPvu333QN9xPbDSSoPuYTe+lM96HWd2XpPp941o2xgPcxxI8QMkISaBwdkQloVIy2w2kxjBAnEsWngfoVzGxjzngGGOM8Z+J7s49ru37H0draFiIApDAjOw9oK8ltXAy6XziWZUYAdaQkwMKVi1uggaHgVpw6uzIDZAVoeXa4FWI4h4JMXaLklQiJYcE2EGtmwMUJ4GKgUhAYX5I8IwYDNQttgEwhWfAhQRW1l92TAb0CcOIRnOGM8lSgBUDDpYdmgEIVBUZgIReSeXcSS1qkUpOjhq0hL2qHXWEwqJEBw8gmQAHt5gOUdG4AKJgYpI+ILAQveUMVmYymHopgleTCJBAjZVUw8YkAZ3uY5CeG4sQUyI0irazFFpXa7DIQ1JsfhZgCPDKnIAWcCCQs+ZAaA2hKmlEuEUEqALQgI3RsHB0cAYD4u7EAKljaJgVmnNe98IXH7LZZtMTvSVT9cSrXvLqpUtJA5Ss5JuZRKzQ9MWRgFRCPUPJtEJwgydDjDAFYAY1IDIqJrdhoIoojoypDK6KOkTQjoUpIefCksxMQkDKsBLp0BIcMEsJKKzHGOjVlZWyYS5QQcnNzVBwdhcgkjFUOLYGkmLENYItYn4AbUiS3eH3M6T7t5P+/i91xteNz2IbLu29Xh1KPDJhoULbhjZgsTF5Ydu/gX+D+d27gRt9daNz32tLyZ1TAmXuI1WOMcYYY/yRYJOr7Rsw2b1joAcANQiIAECFjHWEOBQWyJPlEwHQJbwFAdXig9Ikil8SUD4pS490/6Ecn4C627/kPVv0QRztJrFsjAuNZGH0q1Hr0bWPgbocL2y4hv2APgDZ0ImJDS1eeEModRNk4UgorWWgX1bgPnVnp6oMUd19d3SuXvc1Bk1t6EVpIq3YaN/R8SMQISCQlP1KL/v3GtCJDbuXf6ZQLkuHGqhLrYpKFgYlVIs/Hw1UWGgDSYnuJsRuQNzf+Ka/ecORf13SuLg7kPpgAoGDwcMoWQkqKzZECQQglEkz6pcsNHWEwNOLhxoIizo3ytW36GfHHIANe/RH72j0fxp1lDZ8q/usm3KjPMYE3nisRrN6A3npbQj33Zgd8b3JEhdyudCt+3xrwyRb9NXwADcUvu8ZN/4uL/r3/ve4v782Pv5/CiLQFfmoy72BFn7EjIVey6g1D8QxH/iTMcYYY4z/99gElb8xxtiALhC11Au7P6Fr7L8/xhhjjDHGgwybnPI3xhgFIz/9jvwtpAIBFkWejpnfGGOMMcYYDzqMlb8xNhncN1PHv+0ZtgFjIjjGGGOMMcaDA2Plb4xNCTRy4i91vtwJgk72G1VwKNvvlxf62JVrjDHGGGOMP3qMyd8Ymxg2JBPuvPJ9ZPbdkLNt5AiIRYIflXplY4wxxhhjjPFHjrHZd4xNFETkXQ2xDfl+N8R/jEjif8g0PMYYY4wxxhh/+BiTvzE2XSwmdoujfe9l3L3/UhBjjDHGGGOM8ceJsdl3jE0Ufh/b7ob3RF4K1Y453xj/R1g8o8YYY4wx/tAwJn9jbIoYh+6O8V+KMe0bY4wx/pAxNvuOsclhgfn5AyzQPo7sGGOMMcYY48GLsfI3xqaFYo1bTO/GKuAYY4wxxhibFMbkb4xNCAssjxYV8Rin7hvjDxxjD8IxxhjjPxdj8jfGpoL/Un3vfvNCP2Cy6PvsVt7c7xEe6KP73fP/OT9YLKP+dzbm/2b8/9vwQI1c/Oe9dlj86e/vzh/IBBhjjDH+KDAmf2M8qPD7bLj3ty6W2N7/ulP/exbs33+E37MdD7zY/x/Ysv/TecN/Gx35P+jsf5QX/h/sj/vkCb/vDr9n+7/zdPedQvf7xQc63ZgsjjHGpokx+RtjU0Hx8/vvL9D2H12P/892+7/Hf4pO9h/lLv8P8V/N/3B/1+73cL7fo/n9e478ew41xhhjjHEvjMnfGA8qkCcnMRJxwGHsGTnCyJxMsoQhEIAeADVAgWiAEgSJXeEVnLOAACED3N0zKYGDByjgAKtLo2AgsgsTACNCBivgUO7OWEPZJRMEjkQwQgUjGJwSREBkIGQTT2ABB6eWmoCKnQAomaNlAkHggcgBBaCICjBASA1iHyAYETsAB8zAiYjNIxVZk5LCgJoNQ04BIRqADMAoascTGgGRRTiBAcoOVrB0VfASYAADEQvlkQHAgARkBzlqcgETYAQjY5AAUBgAAY++loDGAcVUBgJAXV8Ac8C6C8ldsxZzHAIALd9w8AL/6Voy+tONiBgEAiXAYRGJYNAazA2BoZGGMDhVLSIBFTIcAMPY2ZVQhGJBBhIQgOgAXAkJzvAKDCWQghigFgA8wolQ+pOA7C7kNQHOALJjyJCMmBEiIBkgKGcjFaKE0IIF6DuQEwQNcwUnhNI1I1WowwhCBAFgAmN4aTiMWgaRszuP+J8B5jAiBoKPRhcEIgNsvASMMcamiXGqlzEeXDAAUKBwGjaEhYwujMKZQtmNAOl0QC4MpxR1441+FYVHEAAa1QXulneUNXiBc7CX43B3MioHDSByUiLtVmkPDhFSokysABMiQwCAjBFowxLdkS1AiRTO8AgIkBkGwBGp8MHCUhdImTPcQb5IAOr6tNAJOC/WQDcSRN2xkA3HF/Mv2vD5hq1cXgxZNIij/Uqp5I39Lb0bqkWN2QAGNjA/3M8OD6xpEYEcGyr1AYDoiDo5gTwRFN3YwZkMgjL0ALHTRvdD71pO2Ehm6ybLqDZg2VXgglGpaHcHCAiEsKiTTKjL5elmDQOAgEKhvqOhhAHE5aMNjdnQBF40nqO3vjA3N9QqXDRko1qF4/v9GGOMAWD82DfGgw3eraM+0pPYCGRgWtgoQLemo6yWZRV2ACCD82iJZIcBVo7j7lSoXfki2OFdeeDyN3WyFYMB61b9bk1WdG8FBieAjGAAe0fvCpQ9EhmQgcCAuxApkFEYYaEsnEtXuMh3I+ZnTjyiAO5eCApt6OsiayAVkkYEkGPUMVvUEvgCR6EyTlKYiTscRiB3UMcm7m1lJO+G0N1BDKi7k9FI/uPC72Tjp8+OTkFGGmHXnhGfhmOBBNED20QNXERBcgcrjNzZieCdNNtdXDjDWQhO7k5OrvBIRCDZQLbYi3zqIC/syUAdKfTuyjK8cPeyrVypsGD6dtdRtZjoUAECoEBmiIMMBJhwmZxxoYkEgflGySiZYTbijV5GhhYYYDfoPpp093G5NIBpwwPMGGOMseliTP7GeJCgc7HnjvFIoSQ+Euq8k6QWyvcWmUYJ4g5kkHUCEXXMwgkGZthIODETJivkkrul3guvUhB1rJEIIAMLOvpZdKAFluNcWJmM1EYHSBwO945MbazPuIDI3QkdTSOXhSWdHSB3ArwQsqL6+GLxDF1fDRAa/QUwYIQNPOB+vSGJnQrZ2EAinLzbecT/OgssAU62kU5GBEAgMBuNPmsnaxU6tSBd3ZdDPpBOxQvXdtT8+2hdpVIzkTOIxJHhTN71fzTIBGIHDCTgjuKWr3d8r2ioXa9HKiajmxuF/ymcCq+mkfAHsNlILYaBFCD3UDaRExzMaAFyiPlISSQpFxSASGfpBQEGYiLAyalMyG4qOIEYbiAuDdzwMLLxUD4Q1/tvcicdY4wx/tAwNgOM8eCCkIMCEMq6xpSJi4RF1olsCUU5cTLYwtIOKDzDvbh/ebfVRrIgwQzZO3sf3e9vhzoOxAA5GARD62TukTwyhJCJEmBwhgcgOBm6jVAEAG5wZ4M6EsHdxDUSVeAMSYCTSbEhm7edxgPvzNO0QEWY4e5FZxQCExG8M3EuUpOMvbAyvl+KwHAid2IrPSrdXGQ+dIPbBhOpbRhOdoKW3nSjqSBzYi+21kX2yoUTj460cPR7/Y0Nw+4gXywAsnsxV7tDASvGz1w88zqKTlEhI74IJmNKI/ZJRrGQpsWG1KIDkoxaV/rFhuIwZ+yx8OKO+HUtZFrcKxAWpNBiRB7NLuVyTCFngm14Fi87uGPj3pPz6HTkYAcZgQK6qeq8+AAbNM4xxhhjjI0xvi+M8eCBuysYRXUbra++QDCMqSM6I52pWx5tkeZk3TetW+sZgDOs6DVaDIAL3lkjZ63RITuHLGKwd2t3dlcYyBfMltZVGPFi1TNAyb2rOjKy7gJGUCdb1OI8MvN21moik5Gp1smIHEWU8hEpokXsYSRk8SLFrBP/AAAK70ghWTGeczcQnTLlcIPey6NsxIYBAsy8MzQWecxKF92LdZO6hmJkNLW80NtR11HCcO5Xkrq3mLmBYI26aOTucHb37hIyvFwg7yaEOMjViZxCHlnqMZL1OifHRQbw0dtipsfITjtqabGes4K0+Ay4s1l3dUajF4mKWGtupSW6IfY8MIjgLgDK/MWCRDqaNKNeUjfc5O7Fo8GpY9oANlDMDd2lEYP0Dl0vx5rfGGNs0hiTvzEeDFhYzBjwIuB1nMnFCEYghpRIVheMFKKiwoz+6yhLWd/L0RwbXOeAspZv5KZWVLSOhSiK4lfcxLrVNzoRyBaRUQLY3UYHYpSWLYDgyN7xPFaGCRwZTnDxhYAKB6EqpuMROSickpyoCGDk5u5WWuledD4AWo6+QbVbYLSLW1FsxdaxB4ItECEHOdzNkBfUTnInmBbfyNFetqCGbmyW3SAQugLqrqPtrjAz7a7pwsvcfcNu99UDvdjFCQvypLu7U7Aido5cMBkgHbnikVgXbkwjPu/Qbi65u/sCH+3GZCOt0Rk+aogBCld4N6gjpqULnKv8r/OGJEO5qoCRg5mcg8PLlSkqHki7RwHHqCnu6KJ5nNU7B0NF8hL2Uwi62wL5I4LT4gCRjUbsvhvHGGOMTQRjn78xHlQgdybKcCOPIDInh4FUSAmAi0OcAHO4EYkt+LVxYXkbIjhswfCHEvxBYHJ1cHGbN7iOnMJk5MBGXeXgziXOSRhOyOBCLgKKgkTqxeMQ3DEzUsDB4uQGFTi6eAAwwWHk0SGZwNwI1K0yC0LQBXXNdcRfWeFhkR6mhfKSw41GZl8nkBdBS3wh7gWFqXVcLasTg+TeXmRdPCvM3Yg6GgPyDBFDcCp+gAIiYi7+d2QbhxgXYmdwJiaDOhgLLKmEmxRiSxuEuE56dABMI1Y6AgNePqTC580YQoWKl4gfBpXkKC40ouEAnIozJ6h41DkX9l5eDIzoezcVRpZj64aiuDsWeXQUXeMgNxArSuI9ky4DC+vIyc8MrmXaOMOyk5kbeWDu5M9CG6lMkM4qXWJoaHQVMmDuC2ExXnTBxQKtORWXxlEY8oLSPY77GGOMTRRj5W+MBwOo86UnQDTlsnQTkZvBCSzWxSU4uRV//pwzd9GbruDWjCGwjm948bN3ECFldyYFycIOagQaDOeIkEmVoEA2BbuZQn0hKqSxRCAy7oQ8oqRKIOLQqHU+eO5ImYgUDsru2qmUyA2GCmSYZofLKKogJxssWGwdnpCJABGYuQIgAqsqkQuxFnc9YZjBlAi5mEJdYS1Mi0dbto45LRaFQqgZRbrUTrAy66ydMCZyMvMGlMAGy4CQEAhtTgDa3MIzkaubk7gTj6KwzUaG4BL6Yc6mripElYRCF3PO3cm6/IjaMc6SsIUM7O2w6aItnJgYTsNBS0QwZxFLpUMZJTra1L0xZBApYA4iN8vmBiDlVHrkZOUcRRB0SzQiigRYcoaQlegbmJXEe5W7m7fMZq5EgDORuBuzumUq4T3ETlDTcjq488h1D8LMRkIc0XZ1ZwxwZrYSYVSukwAQ4i5XjgDmmYnL1O4eAwBmaIYqCMTE1HE+Wojzps75YIwxxtgUMSZ/YzyokGAhcHCPZm07pBhUKAPuYCASmxkIw2YYYyQX5uIpJcI1AUJBs6obCSjAh2pDhIoSQAht0s6tyhyu/V5tSCV1YHYPEtQSC0FIGwNgBmE3VQwJCFDOOgzirbXD7C4xF5mIWtQwA3swNAAYgeHujcAHUAfHWENTm4YZOoAHnlB1ZrgXj39OptCEwMJwhQEiAvN22ARBLhqPJRC3jTIj+0jbYsoZBgTmlJQYKWcAw2HbWak77uXq2jSJiQGFJmJ0xmXyYTMDbeB52Bm/UVUVgDoEKjZcokGbuqBUU8CcDC5FT3MzZmbmSiKymSoTt6kNMRYerW7uRkwOVzgR0yipSt2vUkqF5M8NGyf0+zUKuQSoJrOsqsURMpgHInbL8JahAfOpIQETs3vNBCQzJebiQKDmhGSeDG5OxLDkIZA1SsTupjlLYDOArM1JmN09BlEFACIWltn59Sxc3DSN4O7C1OYmBI5EllIJTDG4aRJgzpAiElABTEgpCZEmh4HEABiQM3I2WGZ4TUHNwIwAWpSpqG1NuhyGxYxsG1xaATxAfPcYY4yxKWBM/sZ4UEHdiAiDIdq2qqrWdOBZCU5IyWDOzENNsdcDBIMGnuCeC2Fxh5lIT1iAhHb+Oxde0J+cmJhY+uvfXKmuVeyB2ZMJEcgI2ZABGuS2yepQBmAJmiQsxHvqOWedvcWyLbea2mbtullnJBscfvhrJqaXvOFtf2dA1gzKoFykGC7yJDLSPHzw88t/9vq3vnOmhSZAssTcIDOmWo2rVq3681e+skktA24eOCgcyWyIyAB4mNtf//KypZNLzj3/e4lg8KuuvGJJmFi5cuU119/VJRhhg2XrkseBiHJSkQhwr9eDKtTgCVAHCcVe3TNViIENDjM3Y8D7dbQ0/NZZZ57yyX+eGbbZvUnDYTskN2bOqXFirmLbOtSEWmAAEXciYQCqjlJoJatIEJI7br/zNa95zfq5WRAbXFhUFVbSH3PKqVzu1A4BxBhzzmre79UA3NE0TYgRmpKDRQIzkUCBtkXbrL7n7q22225yatkr/vI1VjL9aO6qoeQET4BlAzMiO6ONYgCK2MaRbNByECDOzg3e+Y6/+c2Vv+WgmpsYA0DmYgAJ1E09Zc2TE0tVu0SNc01mYlgOoVxoRJK29URIwBGHvzZK74g3v3kdMKsucIfGUCNDQonsUIcZAYxe5CiAt6pZOA6TK4NATdOIUM5497vffdVvb2yaBWeADvdN/T3GGGNsahj/+Md4UCGwIOlgbm7nnXZkkjqEt7/57UnNAEQmZjfriRDcVFHXJf9wEHSecERuaNMQaEHN/3zPX69ftf7LX/7yBRecTyTZ4NkocPHhAnIAjjrmI8sml69YstkhBx+amjmIgR2C+SabIIGefeiz77r9nn0eurfU0UkE8bRTP3XxJZesmllnpcEGGNydHeq1sMDnQfOkbVUvT9rLGUIJOu+aGbUCxMGz5mYOTA4XULYsIQDEEZqgQAxxn/32H8zOH/z0JxNDgYfsvdf6wdqXv/Rlbc7OUGTAYFpVTIS5JsM5RGHmNrWd6x0bxJM2BJobmjs4EGwISSC3LIH7CmRNzKgCt07GkYQkxl5VMzHaJsTQuBpQRQIZ2RyjVeTWYZBsHqRCdhgBgoFCIRyTusSQ3bPD4SFGS7kxNRCHCkDOmTnklFS1qoK7p+xqDvK6jkAGI5ZsyBAQmzqqCOATn/jEJz/1mXvWrj391FMF5K5BApigChZGZ9xOCZZbYD7rrIPmGi/ZuVkCHPPz7cTUkpn1LTObDSk0TJYyM0FzSRHTmjfEQqiYohrMte4FOHI7FOD1rzu8pri86i9duvS3N9zceDr+uGMu+8X3G/c5QITgUEuaiwMBzBogN56SI2W0rcEzaRIOqhQrGiiytVUdARBhbm7Qtm1dy4Zgpo2UvvHNf4wxNl2Mf/9jPKgQ3D23w3b4lEOe3qR5zVqBb7rh5h/96vJXveH1DSDEb3/Tm3/5s0se9ajHXHXlVa6DKPKIAx531x13uVuRlOpYmc4aBpPTvdnB/K9+9cu993mIA6120a3mWbVNae6sb3792quunlk/O79+9vzzzw9wWDrsL17FErbYZttLr7zWEREi2gF5nhs0ihC4nzKcvVpatQYigcWUnUWEYZlzSsgzb3rt/zfZ3/lRez8yWVX3AR0++qF7TdXLt9lu17vWzh919FE7bL/DGV/6en96qo7Vdy68MGnebY/dJ3q95dXyT3/iXwz41RWXT4Z6+fSS31x98xBo4RDGcJ6Zq6pnJca3bfZ76J5V6PfqJTdc/7sQMBw0BucYiIiY29m1++y529Kl01Hi5z/3ZVJ8/OijvvKlz/Rouh+qH//w0pRAGvbbb7/pqS2f+9yXt8oINNDWoOaGrABfcslPTzjl1N33eVQIS9/5+sO1WXvSKR/9xvnnZMZda9e85GUvv+V3t/zD375n/133fPOrDn/T4W945tMOnV0/605HHfOxXr8+5NBDm7Zt54c33XDj1NSyKtZvetNbzLBmzbpXvOIVH/7QUXVdL1mybGZmJgYSprYdFtMotL3rlnW7bLPjRD01OTk9M2xVFW633HLLnnvs1Y9gQzCUMOZGrQUwHLLpQ/baY6KaXrl0qxuvvRoYnnDcR0/9xCd23n1PrvrHHnM0GFde9pvJqSWhil/+0plmcLRnnv0lkokq9k468Qum+MoZX/n4sR/Z/4C967r/l4e9AQ5i5+BuKPEfqnky1ldfdtmadeu/f/EPX3/kG+eHw9irzXOCdcluBs1+++07UffquPTTn/4cCzn0G9/6xkSvP71ss0+cdgo8I6X9H7LnRD01sXSrNfOJiK688kpmirH+0pe+tHTp0ra1xYG9Tgu5LTG+/48xxiaL8Y9/jAcX1CnWqtq2w2y5aQY///nPV2y2MvRqqqPBYd7ODZZMTf/t3/7tBd+5EJIu+8Ulb3r9m1auWJEthapSA+DsLdf+jr9+x7bbb/OYRz364Kc8tckJAqqodUgIICXYLjts+6XPfcGGmRTIxkG+ddZX//xVLx+k9oprrnnvP32wdaAFOEYJHCQr3BEDDaHJjRiaDEax6g2boRtCANw/efInHvvwR8/P3/qzK69Ut/kGnzztU2efcc5wPp31jW/+/T++5y1vf9Odt97xihe8av3c7Pz8/NOeelAv9q686rfzg2bN2jWnnnTqYDh86N77zM2uPeI1r4WXvNKElBADgGHbJHMCHfvxY4479uNNM5gdrH/oXrum5L1+DcCNcjaAqpov//Uv1q1fM5f01FM+MzODNjWfOO34YfrdT37y48/+87+64lV//roTjj1pZv1tX/vyJxHqNiFILEV2QQLXXq/6q3e8/V+/9NX5uXW/vuxS5Pn1s3fHfk8ZwybF2Af4y5//8plf+dpPf/jTFz73Bc2gbZr07QsuPPARj1w/aA46+E9+8IMficiHP/yRNWtnhinvtNNu5553IUG+992LDzzwwKZp3vOe9/z85z/ProZcV1G1sTRAwAfe+75vn3fBfNN8/gtffOs73vmt88/rT2x+8smfecjOu03WW9584x3BJUgoZdQkRBCOO/qojx/z0WQzF3/v+69/7WuQZjUPPvsv/3LtdVddc/31v7j0Z6vvuv2lL3nFmvWzq9vmxS9+CRHddc+dl156ielMm9pfX37l1dfdUvf7f//ef7j44osGg8GVv/nNqlUDAplrRTA3qSshD03qGSFErqMZelWl8/OhV1vgQcn3F+TyX102Pz+cX73uU6d/at2a1ZdeecnRHz/6zvUz69bfc8QRr0NqPnPqSV/94hlNO/fd733/3X/zt/esuuu5z/3TVatXN03zile8YmZmRoQX4n4XKi/bONJjjDE2bYzJ3xgPKrgr2rYf5Effu3jZkqUTU1P/48//v2XLp9o2B5DmjCDSq5TxpMc/YdUddxPj+9///uMe+ZgqBhFRuJlBM1gvu+RHHzvu6He8+12a23O+cdbJJ59sjMYggiYNhbmOcZ+99/rd9TfstMPOmy/b/KZrr7NmeM43zj7o6c/u9Xs77brLTXfe5khgoKXBfJ6YmsxIJXyYuMoIDEhgBDi0qntkMORAfONVt7/oOf8fzNu8jmKKEccdfcrD9n/0ZG/yqY9/dPJhztmVPUcwxVgzc/Z8zMc/1u/HFcuW3nDddW2THA6W+ZnZGKMDDAEzUqrr2t2jkMMPPuipz372C44//kQiZC3x0SAQM4cQYAbJJxz3sbpaPtWfvuLX1wzm08TExDve+WZQ2nrrrdeuGQwHWLF8yyc+8UklRYuCYo1GWwABjGGD3Krqyw47bM+9tjXDfvvsfc+dtwirem4c6qjqnkh42AEP33HH3Z/2pIOe9LgnWrJKqic96SlPO+ggJtlzr72vuOI311xz3adO/9TyiaW93pJ3v+OdzEEkPu5xjzv00EPd6W1ve9vBT3+au6smIIuAg6y567bbVq3aavvtLeXnPPtZkePBTzxoMFz9msNe8atrrl3b3LnltltRDFkzEyKz54x1s2d/7auPfcxjYDhgv90evv9+7fy6KP6uv/4rith+u61PPf3Uu+6647WvO6KeCIQqxhBC+MUvLnvve08O9XQV46mnnxpjbJr0/vd9cMmy5UH4exdduGJlnxmEQAoWaXNrWTHfPPphD18+ER/+yEd+4QtfmJCe9HuDNCCRniAAaNtjjjlmsj+xYsW2111zvVm+4ILz/upv/0qqIAE5pzyYO+HYY/c78GF1XP74Jzwxk69ateod73jH0qVLRWBmRCRd2WG6V3jHmP6NMcamjDH5G+NBBYoBIQTDUx73uDWrVjea1reD87/7g0pCHrY1B3ebz20iX758eTMzd/PtN4XAe+69k6k3eQCgqtibFpq+/4PvvuXtb33Pe/7u3e9+57EfP2aPPfYYthBGox5ipVDABLRi6bLVd9+2dtXdL/yzF9x68+8k8DXXXDY7HNyx6p7zz/1GRYLkgExNLl+zdl6EgESBQAHSSyWBnQ/Vm6wlEfE8QS668BehvwVAHBqOGY6lS7a8+Ya75obN6tm1xx7zMRHp1ZOWLHJsmgagyy+//Otf//qgTavvWrfnHntZFx6gdd0fNG0ukbE5wy2nJlRVcgC254EHrp9fs8MOO0z2l1944cUiIIKqq6qZgeXaKy//+te/qnnd2vUze++9b68Xh/NzsSJ46vf7QXqrV9ndd61OrSKEwOJOrYKZCaSmqCIkuGureZhQ9RCY2mZQ1QyABbHuzczMpFaXLl3ubRsopFbr2MvZqthrFQqUQODUtK9+9WGzaW5usL619qCDDlLVGOvhsA2BmZFyCsxRIoFcM6CmqZ6YjP0Jrqq5maZGqLjCoBHQoGkaB/fQAiKVGkgRXAAXpqZpvCt45+zm0LqumwQDQgg33XRTXddgJFgJJU6tnnjC+9pmnXlaP3P7rrtuCTAhAmxQETAjZ5Sgk2EzlFBBbarq/fLnP18zM5gfrt98Sd80oW0VXV1mB2678cavfvUrw3Z4z1237rbbbv1+P6WkbkQwBzmC0IoVK1bddttgsGbtzO0f+/iHr7zyClV1V9UScM1m9/9LGed4HmOMTRlj8jfGgwpmQOChq8RQhaBgY9d23e4r+xNzq5HmvnLmWad+5l+rOEXIT33qoz71z9dst+eT5hgWqBeWWmrVZmjClSeyTV199ZUUm09++guqmz/pMQdPMGrYhDjU2Ze0adp9SZNbVE2u1z/24Mevybz5Dvucdc5FNctSxzLF0hRSaJrN5u/mW/s03289ZxHH8vn1W627eyWjdVWZbtpQCXtAwhKH7rv/Npf+/PuWp17wrL+cHtCE+UP22/qSqy6CzE8D7OJUVUv8tjsvmrn7nqpmkIv6vnvsm4HLbr7q0msumTKtFKnurY8+FXyLxnrZUjWdqpUeSZq76twCy9q8mdKSZz/3GV/56j9fc8Pl80jOxtrWDLBmyfMRu+z1CGuX3PSbO2/4zeXNcDXVnrinXA+bdZHXbLuUb7ny1puvXrdu1eDlr/nzKVq3kjA5lAqc2TQWJtiLOpyOObVtDkvnbPedd33mdb/67co897dv+YfV9zReT93ZtrOT9brK2+itDqInGs7VmiL0G2d/7emHHLT5Nltc9KOL02A+ELKqEWbbFhIgoZTEqCWKE7sAETJhNLlsq12u/uWPr7/qWhvK9y/6XrZZTFZtb0XiqSlql6TBNEzc1DQgO5Ky2dJl2+6+95WXXBkNv/3t735w2WVNb2XrKzDXW+moDIbByl2mPnfmSTYY/vCssz//pY83ed3OO+31hc99U3MNQCSDzT3Bo+WaUIHUySSaw3JMseoxJrJMrp7q3VwBU1XP8hLXmkTD5iEv3Xxm/a5p2PN0U+OP2P8gMC6/8fqfXnvZHPmfPON5H/jb9y9zVMmF2ybUWz7kwB9d+TsFpMFK6O4P2edLX/kqGF/5+hdOOuWjVe1MYBCBCYHABDB1rzHGGGOTxZj8jfGgQknjl3M+79sXLpleOhHk2muu+ZODD16+bIWqTk9Pn3XWWYcddphqMrOHP/IRp5560oEH7AtA3QlUxVqkAsSNj3zjm0888eSJiYknPunxL37xi57//Oe1ranpsBmKiJlVsTrzzLOWLVvG3Ov1lu6222777XvAu971ro9//ONRQr+q3vCGIxHkxBNPXL58+aWXXrrNNtu88Y1vNLM999zzEQce+OlPfzownXfeeQAm6l7TNhiVXPjghz/054e9emJ66SdOPWWLzTfvV/S+D7z/xS/7H/04Gav+6ad8igF3f/FLX7bllltWVfXNc755wAEHnn/++RMTk8cee+zhhx9ORGd+/ezJyclTTzt5z732+JM/+ZO2bb/xjW8sXb7s+OOPf8QjHvGnf/qsufnBscce2+/XVVV98IMfPOyww4pzGMfo2QjUavuQPfa58ILvxrp3zMc+/Kq/eHmsg2bLiYUnwDxs5qXGyacd//CHH7jzzrueedY3yH0wSFwxADcVMIhEhEcJRoaplRj22Wefjx51dK839cQnPXa77bcaDOZioCqwaupN9hQKxg9+/IPJfn9CwoH77b/DtjtstdVW7/1f/2v5kiV1CCtWrLjqqt9MTk6WZMWqG2pVLK4jR8RfO+vMZz3rWdPTU0cdddQ/ffifzNzMsmmxfZsbEfEIRMQxnnzyqUe88ciqmn78Ex5zzjnnxjBJiL1ebDPM4JC9997v0EMPXbZ8yZlnnvk///49/f7E/vvtf8ghh0xMTEiQZcuWza5fH0LIOccQy5zMmh1eYqiZOOVUplCMESWJDNHc3Nz+++//2Mc+9vTTT5+YmPj+97+/7777nnfeeSFMHX/8sYcddljOee+99nnRi14kHPv9/mmnnS4iRx999Mte9pJeb8WypUuOP+7Yvfba65nPfGYM1cUXX3zcccc1TVOqgyz+ifwX/wTHGGOMPwLQm77x9iY2AJbOLfnr571zqS4h4QyVUpaAADJDyZ4PwMZ8cYw/TCyENJKljgu4taHOAMF6UHKYWaaQiVi9J3TdZb8868fXHP7aF0cB4KkZ1LHS3MbgYAcUELMecUgKA4gQWQlkqsycc46BSw1Yd5cQ1JSIiSpVdyYCAmApFculupGwKUjIHEwwNyY2zYVKtqmFVDVl5HmYIU40XLWKnoAGM6FmKDROtgABPc8YrMPE8lLX1d0JFQFtCyKE6KrJ3VPy/kTPHURwKFrjKg5SS8KRA9Qtp1BXDcyBCE7NfD9UACDIcEZyD/CKAFXEiJRnQ3AzhUehSZRxciBm6OCuML2CIK0hupGRZ0qqIgNhOE97hAFkWWzYzE9VdUN1GmKyBpXjAM3ssJ7ugTE/HPYneoWqMMxUCVAp/otIKVcxMDAc5n4dRvTGARD5QoleThUcBmcmBLQpV1VwoGkHdVWXehg558BCRAAzWqgDFUTSMIeeEic1tjwRYinbNscAENRYOBJy1kxEwtGBlFVE3B3MDKSUQghEo6obBIDVVFjapqmqqlBVUzUzESHm4XAYqkhETgQgGA8H3utzApLPV0JA8CwEBGpB6sbufQpoFYphHUjdhUJqUwiVsJg6EfGG2/b4Hj7GGH/E8O5fd/cPfe6o1778L6YwUaNnxtSVz7Sym4HZcMuNNxHMI3lF0eLCs+64tu8YDyo4GYFhZfaTakNSmSVQ8DZzDMwswF2r7nzs/g/bd/c9vvzt75nCGUzeqycI4BhA2axlljZZFUPKIEZkqGnnyuZORCICEKAswbQr34aSt9m7+r9wcIwAckqhig6IlOoaAODuTCAREQEQQuBSdtgMIYDYE+oIV8R+Hzo0cKka5wpEIAbzTEQEKQJPSi5CIgBRCBWAGNGktopV1szMEoKqhhCIWE0rEaIAgNxBpK79ugc1MKslYnHvMbG6MktgJG1D6JkbF6uha85WQkM8OYWpmqAGEc65oeBCAVVgtwoRxOalWpqRcBUCiAHECgTkRgMLBPXSnpmDqD/RKzwpta0RxRhVleBwN/cqhpKIudcLqs4LlX6J3As/VHeHlDJ9jkCmXlWhXKC6qsuEYeIooTA/AIAgCIxdc+iBWMwE7uYNqFbNQGShpE2UXsqpClSIe9JMREXqWyxDcqkgSHDLDjJ3IjK3uu4a4GYswiKaMxOFEMq3kisTw6zXl5TANQIqRTbLvRAJAEIzP6j70zC4IwQQKiCZmQjqqp4fDCf6E2YW46jQx1j2G2OMMQAAY/I3xoMK2XMlEeowoh5HoEWuOWqrIdaWE1eckLfecstbbrsNSYfiMRDDFuqcmkGNYqhTbqvYb9scYiCCmqbccBBhyWolwzCc3E2TijBAwmKGICFnA9Amq1mZY9s0Va9292zKzK5KITgQWdSUiDTlGKMQXAE4Yg13EHoBWQFA1c05xsqBCiBC1swSSyER1VKWA7HqeIeqi1DOmcirGFJuQqg0uwgJi8NzTnWIZsbMTWoLQ1XVDA8hmKqqk2RDTwTObshNGtaxl9WCVOYGmGkbKgEUzI6Qs9dC7iBBlKjW5pxCYbGWmQNRKZvG2raxqhzmUGZPSWMdkQ1qbVaughFZVnIPLFWIZmZmLFJqosQQy3CrGsBSTnpv++aolkUAFWLHnrNykFLUV1UBBAkAiMTdiciTEsVsGioA6h5MJQRQ1ajPBplQDQCYFfAYoiNVsZdNS76YYs8t9Lppml7dc6iZkYOFzUy4AuDwtk0iwsxEIbeJiErd4xDE4OYeKSq6WRkrDFKOkR0SWMzNssK17k/DiRglWMjMQE5Ehcb2ej0AMUqZDIvGZSz+jTHGpo7xLWCMBxWY2N0hETG4Qq2tQIAXLZBDNMsRlC0nzYihDm46NEtu2c28lEgVyUpB+jkjxmC5sAqbqCIzm1sIQSQyM5g0ewg1cUhJ3amUxwiBXb0XmUXMksRQSs0yMxPHEMldQADcXYirqjLLZkZuYM4OSFR1NwRCELAIh8rBbdNAodmCVMRRrRQ647YxIpiZqrq7CKWkRCRCbR6EwAQKgVGKzprFELPm0oAqVgxq2iaGWJgfi8QYg1RMIIDBTWrqWBuMJCZzJmYKICKQw3POHCgIC0CEpBnuQiHECCJVrTlEsJk7gZirqnKDgxxK8CAEbREMwWIdwKRQDlLFSlNG59inAOCZXBnIms01BBYGOprnxYpKVBKbCJGoZjfLmkEwMwmBQEFCSWfDzA5X9UIuAVCsnBCiNO18tiGRBIEqiIxJHS6MtnUhoSK4QZLmwqe7K0sUQ1TVXt1r2oYcgaXYgkvzsmYGhRAKTQQQQpAQQugexc2MidWU3CEEuJr2YjBzzVBzIo9RYqiBkJICELE2tZFDIK44ZM3FoyAlTUkXmF9XtWWMMcbY5DEmf2M82GBmqRnRGg4Et5xDVetQ4SjrdGAWEThc2yjiboUK5OwowohwHmXdCBFwY5C7E6ikTyOinE3VY12ZOsBEnXGteO+JkBnKYluW+WzKxFlz7mzEyJqjhMLYig4EctUsEtWJRYhR4leSeatuYBEhcglsZgYp3RGRqmIARC7iRK7qBBEpnxIBaskMENGUA0upNcvM7m6qcOtXPQY6jgUQUTMcCoEcBKpDDYg7AUbkCs/aBqkcooYwchMMQGCwBIy82dSdRDRncrAQCGoKL8RLAAOMmMAMApiTttmyQFRTdpMY3IyYQwiaMxNXsVJLQZiZTRWjNlNHADsJt6S14yAkXMIvJLB5dmi5BCX2giAxRmZGx42oJECuqzpwMENOYIHBCqPUhCoQADV3X9AOu4wqDieQuTGzmvaqutDW4pcJQE2L1sjM5aKraYlSatu27FzswsLSufCwE6taEpYYorAsJnCxqrINAa0Ct6kFoMV9kAhAFSVGsS7dS2fzHfO/McYYY0z+xnhQwWAsMfY7W17ZVoUIdamlMI8igzgBVPzyEVgIpKqxojY7c+dEVZz62jYzM5U8yXARKaQuBC4FWJ3K/gFgVSegilXKibmIVuSuMcYgodCCIKFIO4X5lV2AkntNJVQAA6xWnMRyCEFYosQiOpaNzFyUs4W13B2FNwBgpiIkmakQqSdhYYabSQhmxqAoQVW7KFdiuDlcJLKImwHo9XoEJTiBmAI5R4quGsgEyswAm7FwdIe7E5l37NndDGYsQeEEKrKWGQwQkWLMdniFECAlGsLdQAihEmaCR4lMXZRMIVWBhQBTLbHDDC+KWvGYNLh3bpYlT95C8IdlSxI4ay7CcJAQpMiUbG45d48KAEBEAickyyXqRyLMQBCAU9sWVRHO7l5GwNFxNXPrGCcxEwsxYGW3he3CskBYy8iLCAcBUFVV27ZFGwZgRYh2mCYmIvIyR2AlVCiDyBUo4wkl8jrG0hKACaKmZcwXqO1/1a9ujDHG+GPD2OfvPxPl9ro42cQY/7n4PSPcmfzADienUtMAQNHqmEJRhIKIQtEZiEeu+cQAE5mZdc70JWVgCWONwd0JAienssAXi20XeSVMXuJtuygQEND5/qNberv3xA5foDIbmj1yWHMpb5iJQHAYmB3GYAAOtsJama2ES4CJqHSk9LfwmwVCKCyGxJ0bGAofZnRRYczsJdWIO4PghTP5huhQMjjg0lEqFO+xchXgcAaRL4yHMgUrcWZEAMGdiB0Ec7iTQEEEZ2ZYaasBcKLCxUurBWTA6DSs5SG1uPWV745Guwydj6jeIpSAlK6MmbAAKDooES1c9mIp5kUM0kckXLhydH6ExGAEgKoqoqOIEqTGSOrrUuQsDPJooi7i5YXgO43U1tKLztZM3RGqqnJ3X7Bfg9wApjKwALpDdHEt3QzoYofgAIQEZf7DywTbcCXH96UxxhhjhDH5+8/EKNJwjP9WbDTmhMIbyuIJMJWllLpPAfDIAEZUBEAGynpa1BV1lJjgcnQADqOFc3T0aIE30gJPKRglJ+mUpI2bOtrvgdfhwgMI3v1TnPOpkB/AASUwHIbC4u49GvARI6LRes+j10ILuTv+oppfI2JRGKItbBwNQhlWIogjAyCX++tHaX05rmCBKXffd4PL4r2d0dlqO/FTCp8GQKQoV1NHJWmBRYEL7v5v8ZmFS32vjf8WyDeMGC3Mmg1U64EPPppotGjClSlaevrvLqtWTluoJe41xUbwEePvdlh8OccYY4wxHhhj8vefjH//4/V/rky4IIQ8uPF76PVoPDsyMVKqRmt3WTwXCX3dRhIYAeQjva8kSCoqHApBoi5adLR0d6egET/rjI2lsvCoOYtbBQDQkRwFd/eFNZuoYzjd6Z0XKFdxiIM7EDaiUFR8DNGZI8kLMyw8dURuqKNLVPZZaBah6Hk8alYXeoIRafPFQwWG80YbRiPTHW8k/LlTIaUb9hspeTz6h0ZUeSMeRaCup50g2WVt6QSw35OdhHF/lAiL2rrxpwuXfaNfyuLfzSgO1gv/BIFg7u5dlxXQBefO0Sk6zuVw8o0Pdx+CuDCBF7/ZODE1PRBBpPvfXNpAG2j3hlFcfE8YJ3kZY4wxNmBM/sb4I8N9Oe5Gaye4I0EbBBuAeINuRl3iD3ctWecWrdYM6EaJMMg7LkTc2fsKJ0Cx3mKBzAH496+vv4em+yJdyt2Ln5c7bUwsOipaeNeIKywiWrDOFjo65gLdMYDv7zlhgVh4140S5OAgwYbjL5zdF3GXxZ0SQAsbUjCPqPSIcY6+POrLvSS4+x0UBi9ES4xo4wYS5F7Y5wb6hRH3GXVnQQ3jRQPSbfw3n5YIcCioM3yDADJ3LglW7t34zmR8r+EtgTiwYsTeMFYPOA0Wc9Ni6N4gI96H/41m4UJrFjdrxKI3HHQkS4+zvYwxxqaNBy35u18l7A9KHvvDackfLP5D16vzu+ocxcqiRxv4Hy9eNst6bCghryOj6sie29kqF6xtDi1JPTY0bAONWJC3DOgUNRrJWxj5kI2a9297BXQaI9nom8Ubr/BLg7ExNuJcnX25W9S7iNdOq1tY6WnxQDoVUmDupBtx34XeLfA0LU2Hu0EJNNILF3OXhbMsBvuI+WEDs7RSh8Tw/7P33vGyVFXe92+ttXdV9Yk3kYNkCYKYFTGgoICYHXXUUUclJxHTJPWZ8VHHgAiSREVhMKDjoBhBUBQziohkARFBMvfec0531957rfX+UX0ul+CMz7zvM694+/u5n885p291V1fV7u5fr/QbVe2t+U/3NTGrruYNXYmcEBxQ8CgW+4Cs5mKnzJqz9yDLxRfjYDRaUWvJ6weIKQI5OXXaaFRfudZpW9zp4uZdHvrBdrrWhR7l4O+V6aOF/SeWiNBIf691hn0xED0KOvPaodzFW+4dfNhJ3fsGb8eMGbNO8xcr/u4nGtZ+n73XB+xPEBYP+gb9oHdcO417v5TunyJi/t9ngf/0R/gfEMH/Xx3O2k91ze9/7Ap2tfJgLGYRZbFVoBMARgAQ7q1gg95PDSzWWJE7LcZUHOSLH67kIwHX1RH6SCbCzHX0ZMjulYkPWDsP/Mh/0MI199EeuVNyZEROIIORM4/Sxz6KQsFBXXPKYsZy9Fnvi5pn7UjYYozqfrnO7ty6L4Y6wQ4CgxbPnrN3rTR0PyHBeICqoEXZCEDuPQtrQl/mxOQghy2Kclmz1ajTZZSB7sKJTqyji3ffEzXa3R9ZZj4S02tyqQ8WbXwQ/Tc6K93Gzp14XAwD32df/IBdU9cIs/a6XeuRu0l7a5bBA1+J99vBYnkAj8o0R9nctf6XnEcn6UEieYtfYLDWl4ExY8aM+csVfw/kgTLugXLtT3+otRXJ/W5/4CTVB26zZr9rb/Dfaxa5n9z8Ex/kf6Yx5YEq7T/f79qb/Snn8EG28a7UydZIMLdOqWkX5yP3UX0fdX2ma6VLu3gJ4E5mwKib0okMYKLF+rb7n2QbeSm6rRXeu3/tva/pDX6ws7TmwBer0rr9EO6zWIzpXhHQTTFZ8xjdDXDyUcdHZ3DXravFrtUH00h+bwDpQVpUVDORoBt0M9raFvc8yib7Yn81YbFBmrBYErkYjbv3KBxrwmhEDuO1ksL3Hsy9AmexFborcRyd/+4E3P+E3l9Gjc7Tfe4F3O88rC3R7N4+njXizwRwkC4KM77vXu9VVKOH9fu8uu8Xm7zv83kQ5fdHuL+w63qWafT8H/y6jgN9Y8aM+WOsQ+IPfyTi9Z+Hwe4nL/5YQHHtX9YWLmu04Nrf9dd+nAeMhLhXwz3oU33gM/ljQc0Hjb39J4fz/20Dyv34P9XWD/z9QcXfg96FugTuKDjW/S9AaxKXo6ZWcnfSxfonsa4dY7HRddSv6gCbuwPqzgATL37gdo8MB9zc7h/68rU3AP6rE3vvVwJfW/ZgMcpGWKvEsMPMDCaLzQf36rA1Wg4KsHcHv6gU7i31WksMjp6ko4vzKUG6qKajWBYBe1yTQzSgG9zSBdW6yJ0bgdVhTLJG+T3oJV8c40KLT3JRpo8U7ShfzN2JWHyU7rSvHRz0/7xv9r7Kb829/qvN73fbvS0oGB063ye7+qD361L/DxaONEDu29vxnz7Qf/kU/4/r9saCcMyYMR3rivhb822bkOAMEzdGBQNMUxBkSyI13MUjQKqmkYdwJq5gQRMTwJSADK8RoCWQaDJp6gKYU82AGyiVghCjQQtMPAoxyEADhak1NQdrhy5FYy+5TCB7rjiQMxKGUYm1RgFF6secERg0BZAVL0OuBIjQAMDJQcVQUEjQkFCmlmAwDlZDQRUlSlVphxRUejUgrbJINzhECzgiAcVtgozcixUNvZVYvRQzlcFRjF2htTdoCyooIVEQgPopRkYIA0fP1AWZyEE1CAqQgc0BTR5CRAYETiBBaq0SBiXIsKBJXjlBgAiQFe7Sl0WJJ9yQmQrrpCZQzwEmgw8GLC0aAmZR4Dll8qohoCLvuhMUQ+GgBSEE08zMzi5gAwtiNiW3IMipVFyVVkLNXTeBuQYSFIA1cetSi8ZQAKlSaFukGlyVoGxuLsTubmYhhJxLiJ1tazSDgxUemUrOMUZ2eCkUA3zUNUokTHAD0Sih7E4Am5PTmtaMANyb1ARgBuJgVnixx5jVGNQKRCUE6bcLsYmBK1vQMCEJ7AgVgieXGq2nmhhKkRnEycECRwoAubixMynBUMS5cVZFFnfWhhTuKBnSU6ZkqJgNpfP7JRMALlbIIpg0duFWWbtAEmsUxyhBLGvdGNa8BdG9P+/dYC2pEu77bvVffEn5P9Q4i5uv0VLhAf+3uP/7PHL8U/a+5i95wIZ/5B4Pdvua36hr335gvrn7cb95NGv+4v9TpThmzJi/YNaht4PR92xntAoQRWRThRVxg1dcSeuilRkVhwUGSg8loCUUZ3YWhxCoQchtCdKoxlDXWiwAgmxWQFDPMUYFKYgXa420mBoCSUUGhwWm2Kh6Z0MBwA1qipJZgFIQOqesKKPSK3hWqupcXDFqaiAjM8swhOBkKB4hpm4EJfcAN1QI4MgcGCgARXFP4KKaJCANjYGa2ExzzhTqBVgPPYWrdvktZbDCUAUoREkMAhRmRDbVBgC8mA61JVDWspgr5ZRLqLoPuwIGCYoi1gx1kKg3ZlEUDeAFQ4VxABHaPqAGaIAwAgo4aiklFVgpzowqAhFQUxjFqvGRu5eBqRQwh6JFQnCzbpquO4oWAqU8JNcgrOZVVQFgRnGGzdCDAAEAAElEQVSgJNIcWdQBysCwAgjRBCXApHUvgihUuxRNBTaK0kkIBg8x5mLCEQCDaLGMjSWmrICNysyI3F2ks9nolJ8B9wb6iP6zVyMRFS33zos2A3c+F+CA1OaJpiolmyH0JGfAs6N1uFSUMwJX3i0amKp7p9IRHKSqxChFCUZaRv0kAiIamIIYZl2YMGUQIavyWr0L932W/29eoGPGjBkz5n+IdUj8YZQMjagbOJkqWDNaeBYAhT2zKwwQRgQqIHiJyOYZFLKFzbfc7tCDDhdwLzZrRrOFANWFwMYMVWeyrMVAxVm6ASEEjsER4f7IHbatAn3sjNPvaBNJCApLhSJIENhqdrRD1EEVxaCq0TFBcIcJmVEITbI0Pzf3uJ0fc/gBh7oRIyiUBG4GD1EaJgaPNEdJCouRYpfuUUbm4sgSyFSryBGw3LdSrrr2N6895LAW7O4BJAwi/PqSX1RSn3/h95I6JJz75W/MSG/Z9MaFw9DMvJABwiSxkp511gsEqAJcxQqwPFyNClZyLuaMVPDNr36xkrDBis0Hq3INiKEXUDEIGA5b1BVCMEZbYIrKpDgJFc6rdtpphyOO/ruFYoa2RivMBXUBxFGzume4S0RxZolZC9hzzsTMxEGCWa5iCMKd/1VKCe4SWIAgIhw1gwgQxXD1eV/9+iknfWr1ECogKsGpRuNA66lCFSjAUEwNUFg/DWOIZuZmIGf41VdcziTnffcCRAEKhFLblmLMkrKjG5/CdL+V+V8u3c5DFhDLGcx33nLLFpts0tTTxx53YtWIWRsJZigKECriBkjDgROcYQ6YwwvgQagtmtQ7hS+hKmpVlGF/dRSCJlN3wqBY4Fq1HPehD003UxN1fd0Nvy2GKGJua0+X9vumQseMGTNmzJ8569ybduoiaQSWLozHVWsLN9+5xUYby9KZmc23uOOeAfWBeUMGSBSRKbopmf/2huuPP+GUogS4paFQNhsWFEhdEAaDLN1sCkECmFjNYKZtKYBx1Jx/9YuffOlLn7l7YSFXE13BDocKhJST5nnk+YMPeB0HicuWx+llv7/h97URDbwkQ6gKJGfqsUzNTP7s1z8/9pQTEKIAXDK0UCWtYm6YBBAvlAdmmaqYMrUZAWiTGjwKJZtzpM5OFKYBJUReOWhNesOCGVTsaEsG+S477+Lt8KlPeboGSik/67n7Ldy8atcdHtUf5swSAkNzKdlBA8ulK7OzApaUNZsP24U4wfCWK3JmIoCx9wv2ScP+TltsawvJFZoMmmIeSil1b3IB9byDUCYDKkLJobAASWK55Bc/fd+xxyqFHhxpZZsGKpQdKJkpk2cHtICIHcISHJAY3KDF2uHQvRDUYWZGQFVVYAKUcwu1VuEBDGC4AJF+m1pmVEhqRZU5tm4GBInIwNBzNgkxo2TXuppQc+ZAIKQC1e232dpd93jGMzIAb4FS1XUIwYEYyYBUMmBOZiNn3gdpmH2QpZtT9wvHujOyfcYz9lw5N3fIYYfk0vZXz22x8aZ13cSp5Tf+/hao3nPrbVtusQXLxPKNtli9aqGUsv/+b+hxJKIly5butc/eCirGbSoSOKXh5EQPlq++/NchcggThx75xhZwwhFvecvcyrtf99q/dfcuMR7W9Mx2BZDO45DfmDFjxjyEWOfEH8iHuUXXwGcsFoTqPffc69zvfWcu90889YT3/tM7MWcv2O2Zn/vUZ7ieqCc3vObq34n6LttvXcf6o6ec2oJAhW3143fcaLrXi7GOs0svverGf/y7f/78x8+YiUt6kxOX/ebGecf++x84K/VUrz7goDcNHVJVoNIEhKaXCEMFUECSssYqSGBonqyry6647Pb5u3526WWvf83+WJWe8aSnnPXZz4Ve05ueuf66G7W/8MhdHkExHn/qJwCypMH8rltvXbH+Rs3s0ue84EXD/gAlHXHwG0Ko6tmlV950M0cwMBGFzNxTzX7yxz76qysuz4SUh45yxBsPB8d+a0e98e9nePKgNxzKdfz5Ly+ebqZnqt711/ymELiJyJCq4tYsoy0FRDf86pLYNFVdHfnGowFOJSGQF4tRmKWpq1M/dtyZn/kEcVy2fMUvL7tWHS6AoTGqXaCQmr/xH19av9ebiXF66YpbV7dKvaSDR2y7WZS40YbbreoXHc49eeetli5dceLHP+sEL/0zP3ni2V/+UjOx3mRc/sPvfQdp/s47btl8i4fF2FS9pZNLlt1y2x+oS5VmE6nqpglCHzzmfSL11GTv+ONPyFm/8pWzjz3uw098xA4hNgce8eZCaFfd8ZQddnjYxKZ/9dK/GaIUxnW/+V2vXsKxOvyog+dT34yf96RnnXnq6bNT0zNLZ6+54TdZCxatY0sqCHzNpZfOTk4sW7L08quvTYB7m9uFHXfYnijGMH3pZb9xAofgsFEr7tpr8z8dxlHFysxMtUvCVlWlqmCHIEg1NTn9+9/dlPPwhz/98Wv+9rWD1fPvede7v//97w+t/8tf/fKDH/xgCNWpn/zUoAzd/Sc/v3irrbfNWYUphJDNYxVQhnO3/eHFL3ju6rm5udxvs1/0gx+DCaXAXUScUIBSrMs3Oy0ORVwzmXqsAceMGTPmocA6J/4CNFZSXEEIEGvpV5df8ahnPu1hO2wXTf/m2c+56vs/9Pn5O+ZW33rP6vm2nPXFr5537gUkfOXll3/x388i4S5w+LHjP3Tyce9fmP/dF7/6xX/+4DGbbb3VPXfP/fxHP109d+sXvvCF839wUSKcdMonVs2tHgyyG666/vfZDDpMaZ6ICTAGYFosBMklwwpS6yhSVyqYG/QbqW2u7a+c7/cHK+cXPnfWWeeee670mosvvvjfz/5SYDZHiLWb77333hdddNHC/D3f/PrXY6y//bWv/vUrXppz//prf/O2f3736tZNEYBAxJqRBhtusPymm39/2ZVXffL00+645w9TS6albr787+ccdfjR87cvXHvFVfek+R133WX1qjveePCRnikVDB1wRT/XJhXFXoirF1Z/7NSTU2oX2rTFw7b65rnnxhDgTsxWACDrcKG/8szPfGr13G3f+c533vTmowetkw+gSjQZpEcRaNt99tvn9pV3rh4unH766Wf9+xeHsP0PPuS4j56Yh/nOW6+ZnAjSCz+49KefO+uMflsCg3M7nLvnpJNOuuXuO35y6a8/+5kzgfzuf37nN77xteLDd/7zuz931lkbbLBRdnUgxgggp3T55ZddfdXlpnP9fv/Tn/70jb+9qZTyrnf900U/+mE7aK+47LI777j7yKOOOPHEE2+886av/ccX2cug4JgTTxkka/vz22295Y9/9IPWqX/XIA9Kf7hw6ic/cd5536pCBSBnhyNUFdy222mH+VWrXv7Sl8YYhw4SnHjSRz/ykY9oyaXM7fyIbdrsBNJuOgy6Eb7/tWgyMzUlIpaRH13OCrAIleIAQyJCBFDX1XbbbNurezDy4v2En/784p/9/GdtSg6glDan40/46Fve/rYQhAFmyGhuoF3805+8/S1vDYF/feXVX/zMmb/85a+o62lggRoJZ0MVGIvtzL5WU8r9xrWMGTNmzJg/W9Y58Seu7gUs7kAC19xWYbUgk1cFWJ32evyTnaleb/lrDzk0K567z5MPPfgAmCKwusO1Zli/Za/MKnjIWSfqpo6YaKrDjzwC4M033/ziyy5ZAM75xjc3mJ5Z1otf/NznEWRIhl5VCWubSvfhLySBqRuMoYqm7g8HOzx82w2nlz3zGc/497O+wM3k8iXLX/D8F0WR5z1nn8OPOMBAoYqRkPrzQshqv77m2ifsvttWD9s8GmpGiPGzX/rC3s99UR0nttp887vm550gBM9AURC5FXbEevLC7/2w35+/+447Nt5ko7bkV7zmtdtutRyMxzx61+tv/E1Got7kwly/Cb2R/20jKG0UJncFbrzxxhNOPa2q68lQ/cs//FOv1wO8pBaAMNhB7LHCUW86dHKyt/POOw8GbUoJGCBW/RyGGVAg5uE9d263xVYzE5Mvfv5zKtI777hdPTz+yU8DAdYNbC6IwZmqqjKDRGa2t7/97VWF2dnZkoY6mCPWuqnaBHWpm4nixQkE0q73wvGtc7/54pc8n2DM/A9//0/XX399jPFf/uVfwtQKqcJPv/+tjdZbSlLv/JSnI7IO56er6tprfnfGJz5ZVfVEM/X2I/+OHBllxdLlr3z5Kz3hRS980cEHHCxgd4hQl1EGHFEAizGqeiBo6T/72Xvtvfd+J5/8CXW0GSF0nclusLXm9WDNvMAHhZkJMhqUZwYCMxORqlehmyWnX/7CWVGqpzxp92M/dAzq+nVv+Nuddtpp+dIVF17w3aUrVkgMABCqSy691MBbPmwzIVg2AtqSutaTUmyQ2kMOO/yNRx317YsuuvrKqxwAM3Ixs1IKC9Sxxrfk3gk3fv8o5pgxY8aM+bNlnRN/TiwURmPTIjwr5xxVBcGDONMFP/6JEVvKOQ3BYHNCgTAkxEpQEhu4qrfaesdn7fs3kzMbH/vhj7zi5X8lDvMEIbRFhIuXVfP9t7797bfdufLuO+de8fKX5ZyNBICZTVX1lIAI6uqGYb/EUINrFEzOzl582aV3zt19zx03Tc82SMnAVa8hwABVZwQAhtxMNm12QgwUXb1qohHagjTMUxOTl/7iJ8WH8/25s//9zCaQEOAKiQAoVFttud0Vl125wbL1l08vXX3XnZZTr9dbGC50IzpKGkzWdYXYrp4Pvcl+sdFItzzAVN2WQWtDBbLq/n/7ipzKsKSVw7mnPOUpDgsxglASiEBuqV2oIrubu++8886TkzWIwVx0GBogws2OevNbPveZM1evvOcrXz9n2KZeM7UwN4xhrbEaMSCrmkf2yICaubCIMCLLcDiUELbccsvttt1xenrJjTfetPvuuxGxQADknAFIjJEphGCua8avqSoLEAK4DPJdd95xc2oJQ8A1ToSUUnB5yStf1ZZ22LZm/rTdn9agDAcpSEWhM64wgkWCEJihXfqzZIi0g35JWQAJ8eEP30613WDDDWNc9p3v/IAJ6mrQRc+J0aji/2QKNAB3cNd3a6AwmjPMzGZgIOUhvDz/ZS/Nbbrtdzc9e89nr77rjh0es+swD9v5O//p79+1xcO2YQltbpHttE+ffuRRbxymFAARoOQ6hAJHDE0zceRRf/+Sl770G9/4el3HR+28o0KhDuYQQtM0paxtGgFfaxgzxg4SY8aMGfMQYZ0Tfy2qDKbOXtSVyB6z3fZXnv/D39/wuzsZZ/z4wq2f9qRQT854qF2dLBCFEFRLm/qDwXxVsVmC2XcuuPD2225e6A/P//b3m6oZ5c3cEWpylOFCgD3h8U8CZLBy5YXfuaAXI0CGGOuJwer5CMCQnYjR6wU3wETBBRIDs6FhQA1NZYyUipoSCrGiiOYyRGk5GXlkbP+wh//0Bz/59dWXK8MFVYyP3PYRF557QUqtsfW62JRnCgQCpEJoNtpk81tuvDkqPXHXxxz3gWN33nGnfn/eUYwAKURa5ucDUDcTQ8CqoAZGBhTeUg9UkUFXrFjxwx/8eOXKlYRRiC6AvSgUIS76uBKZmZB89ZxzXC0wstUoZbKBIQ2BBa6ml62/0XrLEfSsz35GqZqempppmou///1uHmHwjOKoJqu6hzyIDsQ6UXCnMsTsRB2kUqXrbrhxMFw1HKw8/vj/rQqCFC8Or+sKDitlyy23/OIXv6iqavqe97xnyy23RCe8DKlkijK9ZPKKSy+95cY/lIX0yte9bqhpy403+sX3vnf3bXchVC0QWJriXoXkCoLDyTyCyyDDYJ1VHBPg8NI0TR2rkVUFh2L6ohc95+yzz77iiiu6/fJooh//idOviRanu/C9IktVu0YaEVYqIGPGhKCR2sSNlcg9Yc+nP3P33Xd3oIrhmquvXb1q/uFbbtFUESXB9ZyvnN1MNFdcdSUoPuKRj37xi1/w9Gc8UxjHvP9ft9tqSwIhRqgCGA6HIiAAqqMRRb7Gofc/mWE3ZsyYMWP+vFiHxF/ntJHgXbAE7t2YM1j5/Omnb7fV1utPTbz/Yye984PvRQ3AYAaUpNCMdm71lput/4q/fsXhhx06tWzJb6676pl7PnWzTTZpQjM1Mb33c15y1z05hl4TBCGa+ZKmt/7UFMyXbrjey177N69+zStY0+233LbVVts/53mvevtb37rh8i1++5vfEQeQweAZCBNUTSZzNo5mwYCKkw5b2MySaQK0tEx+zx13bLPNNi9/0cve9MYjli1bdu1V15HE008//ZGPfORkJfvsu8+g33/dgYcef9yJ09Ozk3U8+IDDGyEvGYxcMhAcYaK35Jwvf3W9JSs23WDjK399xYbrbbh0enp6smYCpOWKpure1758Tm9q6viPnbLro3d91l77MPykj3xo/Q2nL7z4uxtttsH+B75+4402efe737fBeuvXUq+3fIOrrrgyl0IhdKLNAeYgXD93nzfEavrkk08+7sPHRMbJp3xyYmLiR5d8b/1NVux/6CGQZrenP/2Rj91tw9kV++6771TdC4R/fff7Xvvq1zaRppZu0M6tvv2OuzfdfLv9nvOStx99xEyvd/VVVys1RDLToD93DwCKzRZbbj3Zm62kmm1WvPGNRzGIiAiiaiBwjPs97wXbbvPwmdn16rp597vfveWWW8YYc1JjQAIQY4wf+8SJj37C47bYdufPfeGrU5O9pRP48Hvfs9XmW0eperOz1159JasVMUTKSQloOKJoqGPnGyIhpJK/fu43m6llJ5x00mMeucu+z3rucFiOO/6jTTPB3Dv22GMOP3x/NQAg8NrTUoj+i2kvZsYMd/euS5wAoG3bpkIpEJIrrrwm1BMxVkun1j/t46fOLFt+zje/KaGeaGY+cuwH99rr6QWm5i975av+4R3vIKAChcCAsXslIUjlhqXrr//Xr3rVZDM5W/V2e9ITnr3XMxiMtkVdl1KIuvpCIHRDhonvO5twHXo3GTNmzJiHMnTE145uYwtgdmHm717wllmdIeHSDTizrrnBDATvDJb+jw2F/hxY2yKsMEcAakQEMsuJiUDkoe4DBkw4ZAgIckSfSmOhBrx/N00QWPqoGSJ5sO9uj/vGl78cNtx8znqPf/q+F3zz6xtVQKuYKq174lpASNpzoyoqYVC8F1zQtv1+7C0vBAMCIK6WRQI0FcSBSGhNKq7IgVSAYAqvOnOBDBTWXi4LVV0lN3gVmcgA90Hqx96kAaIqWiBsli1WCaGCBi/aFqknQRkoZpE9pNWopgyYR4zz1iwoQqTl3sJRvIgIIaiGVuBAjRx0iCHQm56HElMDk0FG0ytASxCgRiE1UOUGCnCsPvYD73j845+42+77GM2C4Q7kuwLPgkImFAajlP7CZD0BzajiggYQTRCsNam6jpjVHKW4FwRBI0iE1skNPbboBcLt7XfccPTb3vqpT53FaP6wuhx80N+edtpJM73a1SNVAMDFfeAoTJVqJRxVAVIRm1NqOESoY0jdLMQkaKrWikFFRTiYwAg1DJYxqAFgAkaa2kETJ9BaAXkjTih5vpFO1VXF2QQV7ipFRKZzEZJOE3ddvcogWuPkMXpxqSPe3/NrLbc3N2NiuMN85R13Hn300cd8+hNTUlkuocawtD3qQRmAV1agEdGGsAALMEsNV1C0hMywkmfEkQtCzO4kFVkrxIAU4lWDdqpXE4pZvymEjCOOftvr3/zWTbfeYooQPTGRQwws3pnTmRMIMm75GDNmzJj/e4w8S+Hu/v7PfOiAV/7tFCZqNN2Hw6KLZ2dPyWz4/W9/RzCP5BVFi7yG/z8P4n+KtU3WIxKhgMmywYVjL8fYBun7YEJtukD6QIVhhBIEQQiqRhOTMC7mAZw0g+T5L3nlik22r2ViZnLita986UwPCEDFBpihB6oNNTnVkskzMBkIpbhxPTHLALUIjmQgcokwg9QBJOZgJcuAGYJBlHsAQFAtRdVNUFUNilUUhbwA2QyEXt2QZgFYBDFqThyqAJTRWnGpauRiiqJEFHJGNT0yqTfnhmlJpCkAmkBEEgDJWeGoAAYUCnb0IggVEGFuiqanKY3cpgA1BzPUnWDwnErdmzUVoiAMBsgROELYOv8QHTJ0cmKyP0iQCqBJ8YbRb8E1g2DaV3WgKl4FaoRUc84FjlogMJcAiKzYYFOSJoSeiGyyYtmhhxw02fSslCiha0PNqRBVTE0uLiIASlERSUlFQjtYgBN5KE6FCU2lrVcUKpaqggSIg7tAsA4RgBpFTVWbqgcAVQi1kDkDIoE4gBhuTEitAg1LDaIQwAwmqBqPvEAY5mumheO/apjoun1HeVZmM/vud7+7ZKI+/vgTYgyqIYQIUSBDPBd1RC1gAQc1H0QOpQVcA4OBEAKIEQWqUSrVwhxdC1QFmO7VWUtbMjtOOfHE2amZT3/600LMi4WK3c/u7WM08wXjaX9jxowZ89BgnYj8rY1igVERInR0S0ZJnAOFAJJk4AoEY7SEAkx7clUKAU4Gy47IcRS7MUCQ3ImRh8OJukabtWFH1GR1YCD3tS2xqRBCRhDkMmSpRwPTavTJgw4CTxDgbswZBqB2AwlA2YGcvKqqUhIJM4WUFuqqB+eihQKXPKxjg+IQybBhGtQSKo4wd3ZlaiGM3IOhAB4R2MhNR42jaokCGYJlCINJiRWQAnJoBFsRB3mAow0wQmgHWvea5C07AtcwKNCZgkU3LoUkFoeLRih0CADcA1XmIAJZhhlCzAUUuFgJ0MARimweogyz9QJ3Z0CtFZZUlEPtjkimlrxbjCaBBKogVUZx1FzBMVAIQxhumUHk7O4cyDybmUgEQmfm0ZXdtfCKlOClEHEQNsAcoWTEgNK/KzR1likDKoDySvUlHFC8hG4+ijmKQ4IRiKGWhdEV85nBmWEtc0y5EESiqHlkIpi7k4/St04AHOSAAeFBI3+qykJuxtTp2QIQ3FNNniSASUBSUhoGDiKNE1QXxZkUhwoiZYaUrO4xOlDByBROkOCAWStEALuFhM6J1iq0utAP9RSknlNQQAUICqCEwC4AjNxgAiEfT3sZM2bMmP+LjCN//00KQoGhs7ZSQD2qTyIIfIgyV7kHwMEKMXcoaEgoWhwUrFQVVQxSQ5vhgqyIXCLSRONAQR3NkgGBGQaUfhNH+wkBMIuhZiK0gI08b6NEIwzViQEYskJB1LVXoFiqKtIyBMAU+v1cR4Fz25pzAFBHgWfX0qbsxHXdq4LADQBRKJ2RGEJbCgK75WKesTgzRDMxK0JRYpAwkZuaZ4W7BIThoM/iIhAgQFLSnK3uNQaPxMLsCgAOHUWviClU7k7igBsIVIEbOKU07CJWiojAsGFEJoA5EBFKggOQDITIqokop5Sc66yIofYCdrS5OMhAAGtXfJaGIAJVwlVR99RWAZFhWgLHbhgKyHLOTJE4AtymVuIoCFeyhuIEbT0ZiwDWUpuGGeYRyAhxAvDsaQAkA7imysFgZjU1M5AgCBiuxYsGFs3mBncHk5bMXJeCKlYQmJbITrCcMznDR32+izPzXP9o7M+Y4SMDPbKcEQJEEEI2DhU73EsfplU1gdBkNUIJ3pqbC5ISQWAFYrAcg3SjBVtDMkBCO1Q3CDNIASVG8G6DAniYmOieVxVGId5iZdRzcu90Ghq934wZM2bMmD971i3x5+4OIQRA4IaoqBRI6A+CU43KUc2ZQYCSK9LJLrjnLBx86AyoYqhI5qFGKimGQjCHlmJvPPzIa6+4MrIIwAKkAYTesP9r99hrj9bMALMMJhgwxHN3f+aqu+4aIicrBkggR0E7hMQ3Hfqmy6/4rRJaFGaYtcQWQlDFRC8qkpay606POvzAIxhQJLUhVVJX0YqbFYe7ZzC5IYBrAKokAYBVkoUKMDT1MoSYaSaQEEKAl2Iw5YolsIIcTVOrtk4oWsy0jk2UWg0tLEEJRFkPOeCAvfbay1AMptZ1t5rDFJ5UwXVpDSxVVTED7gKHWWkzOHryYBCir3ztaxPTS6+77vdkAAoHAkusKvNMEtwBNSGEWDmLkDC4qoKXhLoC3BwKiBBF0ZIJEGJXs+JgZ5EYo4PhwZ3rqgYAghtCFAncaTphcgJFqqsJgQlg7qAaCIFKha7Noqco2VsQiAUsTlA3ABICi6B4kIo4ZC0Ej0G0AMydB3IQAJZLG2NEFx+kxaw8oQuM/rGlS0SqCsBUOQo03X7z77babOOp3oqPHH9SqIrURVN/mGhoaJ0t9xEGIeRWAYiVQEygBXj2YV8AA4gZIQ6S17WQQ0uBFWhGKSLoD5NwBfdj3ve+pmqmJievvPI69878Oqwd4vvP5hOOGTNmzJg/P9YJ8eeLAHCwQJALGE6W0Q60f+ihB01zNU1x0+Ubrp4ffOYr5xx/2qmAynD+P778rZNP+eRuuz76uiuvZAYCvvLN8w487CBCqmN29A1aIBImSgEVwK0ojIAQkNtPnnrqt771LQIXB1exqBNgw+Rt7vV6GSVwcLjCHIoqImUrGmMFQBCSte7KTGZGhP4QRgTgyisvPfn447QUhauIwZDQMAWDQjWIugIIBh1Y5MAU+rk1IgMSABaKhNSGEEsGM2Doon8FyAphIDtKkcDDMiQhWayWNIAg3rVviJxwwgnnnfctwLqpw2oOJoMRIFLBOYQqp6SqgKkqoGomzRScAxGnPlyf9dwX3jm3aqstN40EsVTAQ3BSq0iLgwiRGcCgLaPuUjc4KARgNHMEgBngXgUpJTExMbOIqQJwp25OnhNUR+Gp0cwUylBHYXEkgjLUuBt3yBWBGQgVPGABcOVRxdtoj10ZhBDIRmE7lq4mL4ZYNAFGgi68brBO48UQR8OR1zLHWJR9D/p6tG4NBwndpYMZQqjrevfdd59bfc+hhx6s3r/zlt9svulGk1PLpiY2v/F3t3LkVbf/dr31Zyenli1btu3cygQ3z6seu9MOExPTQuGCCy70bsx2RWYghjBAuPyXlzRVZI5vetPRLZyI33T00cPB/Ctf+coqhM5brsBoTXrB7z2UMWPGjBnzkGCdEH+0CICeDwnzXnkiVsTYl17K05wvve7aG1w/8oXTP3XWKSEugLKjRrW06AJF+/evnfWeD70ddBf5/L++8x+O/dePWKngk8CM+gSBUrpTaPWvf/XDJTw5seFG3/vdLatNj3rdwY0se9Wb3nYbY8gFef6Cc/6D49SKTbe8+rpbVw2kRa9YFBDgCfniX3936fLJT5x23MN3eGQvbvLGA97au4te+Linf+LTX5CZFWHZxn+44ffSrt7pcTvQ1MQxp3wsUFUpA4MPfPRdYYpYlse4zanHfz7M3bHPDsuWBKI4ER+23cVXXxvatNdWO21EYbNly1b2V2bgaU947tdO/9ZSjstnq19cfc0qxlBC6xYx1+AepFtOPenvTvvCaTSx6ezsDjdfdQXsyuNPPPzkz5y+YrPH9HqzJx73r7kMDzrgaF5v2d++7R/NqmgIpb3rDzdvsv4WPVqxzx7Pp8EA7R1HHPzXs73exOTSi6+6aXUI86Cu0VoTXGCNf/WcM9YT2XH5VsM74Qlscv0ll67HE5OheerTnx0JxaERyVELC1gQGEJd+lcqkESyGiZskAhwCNUoqEZgiQATUTdVT4AgRJ1+6/5GhFQIAkLd9V8zgACE0QYSgckKkzVIgAqxQiVdH0VXmQkGGCzdz+7+BI7SEIJQNzkbEYEQgQgEdCNSBKO7jJ4byygybPf6pgHdRl2XiBrDA7iChbl5bXrLYhoQo6XZpRtse8sddwzTPRf8/HsHHnwI7tQP/N0xF174kzsGd19x/WUfPe5fgLs/8on3vvXjn7/B/cp7bj/3excwEKAFRUUBYCD5loXXvPSVt99z05ytasku+v4vWu1BBXlhOg4NcxSgjogqWGAzSPaQHQVwxlgDjhkzZsxDg3VC/N0Hks76KytyBuoAIifpD+YjcNmlv95p+51jrL2bqEbgWDl4o80e9qKXvPTEk0485phj3veB909ONt3AjW7YrYBirPvzg+9//wcrByt/+P2LPvyvH6pj9eFPffyHP/t+ZGEggq/+9aXv+cB7F+bn77775q222LLpVQwExsJ8KxBAHrPzk+6Zu33//fe/6spL54Y3n3DCh5F09Vy7sLp/y/zKz5312W+dew7HqYt/8vMvfe3LzUQsquDqiquvve7a60oeXn/jb170ipe8/NWvOuXkU//5gx9aOfjDWed86R//+Z92ePg2nzjllK99/Zt3zpdvfuu8f/r7d6Sh3nbrnatWLtzT989+9vM/+P73zFHMu4HBEIL2HeWMM878w513XHTRRQcffDDa1uCf+9znrrrq5zffeuvPfvYzVT351A9948c/SSkJA2T9fv/5L3zBueeem9Lq88//RgjhvPPOe/nLX76wsOrmm29+/3vfp4rAFCTAIAFEKCXt97znzs3f8bDNt2QCGCm3Bx16wB/+cHPR9N3vXLjQb7tYHRH+qxLVv5jF/CAHImsNUdECEGZnZ/OwpaYxIKDACgACpkNvy402xexk39pYVwL8+Mc/vfD7P0oLg603e9iXzvo8GS764Y832XwzhUJzBWJIUUNdfe+H3z/syMNmZpdcffU1nznttF9d/qsggCty6uoss6GUB33O48TvmDFjxjxk+Iv5vPxTMScKjZZSC2IENEN1mNrHPvaxKyZnL/rOD570hN2tONA1b6oi9lMxxd777nvKKafccMN1e+zxFOnqtRhBwA6HM3h2ZtmhBx2BCkuXzNh89lygg9jjYOgBVPR3t/zuXe99lwdAIYGGw0ECGJiZqhlwiEGgJgE5z7mDBYi9WM288hV/WwPP3vOphx5xILyZrHvDwaqFdl4qSaqWoUmzthPTVQmFp2WBEJesoKaXMIyhuJYTTzxx+112XjY1sdtuu7v6VCMbbrDZi//qVTA8Z+/nHPiGNwQGsRLcnLQ/DyRHfvPRb5noYYcdNplbWJ1LKyJvfsubYsT0ZO8zZ3ymaWpXTPYmNGUGYH7ttdfuuuuuO+60AweoAoE//4Wz9tzrxb3J2fVWrLjllptLBmC5ZBh1eeMYAuDmFurKDGaoer0XvvD5m2y28XXX3DAc5smJOgYyhwDM6NosiP6CQ0wMPFjPbDfghQCCBHhBSinnXCJZKcFVonz5nC9X0jz5kY/95AnH2XDhwKMP2W6HHZc1S3/43R9uvMkWVew9d5/nvfg5+244MXHHHfe8/nVvgBYBWJUcLgz2IqpuB7/+oCMOeeMFP/rRzy+92DQhBEilRhwrd/Qq5FZBXaFAF+ZEZ/wxbvUdM2bMmIcE65z4A0U3EqkYbqbOBpHJ2SU//elPVi+sOvYDx7z1iLd6ZjMDVIRCPQHUoCixfvkrXvHCF7/IvIiASAHLbXJTNwdEMyZ6s+AioAosIhArmiY5hoQQwuXXXDEog6pCVlCFuqEeYLl4gWWvUDkCQqOqvSbWAjggFUkVJRBQMwGKZDCrmKanJwelcKg22mCD75x3/mQ1u9lmm/3DP/xdIWyx/fZP2OPFsbfkuGM/cugbXs+mU5OzN998590r5wdpcNLxxw/6PmxzrAMUEqsII1hAcHCgnjQ1ak9pINLNw8auj9k11lVWBxAEIcDhsEwCbYeVsBncPcbIDAnIGSRw94mJiWuu+cWwDM3zl88+u4lwqIiACA5VONw0cRWZwRGqMNXDjjxs1cLqf3zHOzbfcot7Vq7KRVW1axYWls4y7gHX9S9kJd+rau8vpEbhz+7QSQArdRP7JccgXS3ivvs8p7TDhTtv2uPJe2TP2z1ip0G7MD+85+ij3rzN1tvB69M++vE7f3/TykF/7p7VRxzxpkoiM4G4JCdCX4dF7Kg3/91fv/yV3z73OyLxcU94bBSCZrhLaPr9YRDk4nUto7y0MznzWPWNGTNmzEOKv5CPzD8dAxEFmBOKsCk0mWdH0zQwpLlhI5NbPmybs88+e2Ew57DT/+3zD99p5wJSQzMxmXMS4lxaeIHlWIduYo4rufFgkOH+y0t+/sQnPc4FcKo8+CDVAVnTw7ba4qv/cQ4bPvFvn/zp5Re3ecDIwoEJVSBFBghEW2655XXXXu0KKHIacsVqLTsYjlwAeC6Vh+HKQXAR2M9+fNHHPnp8Su09t9/9iO02qgnfPv9bcws350H//G+cFxwTsdllp11//stLUUcnY6SmQlVTckCAbCW1AqiBUDEYpuBSvMRYu+Lcc3+YNaOeMCdmDgwtDngpxSxbasURCCGEbbbZ5oc/+fFlv77cuUvplu223/GrX/+apQJgapIrQURkYidbNDgTUIQhldQmqyqYGVcT5vjM58544Quff/vtt7prHYQZRUvRQuQPyP/+RS3j++i/RVVFa+YqE7wUEIg857ZTg2aAUYwT4t2oZQ8sWYtC1bHnHk/d/fG7AeGSX137rGc+TdRf/cpXz98zNxz0Yfr1L/3HeuttcNkV10sIj3zso174V/vt/rSnxUDHffjYbbfZCijuhtAM2jI7s8yyN4FMM8ic2IngXbreR094zJgxY8b82fMX9an5pzAqWOqaZmESYqh7q+bnt9/+ETMx7vesvf/13e975CMesc8++yxdsZwlTk3PPvMZT1H1IJUpYqxUcwxCzCCHu6oSyMxS1sc99vFT9XrHHPOB17zulW3pP+pRj33Crk858+RTl08v+9Z3z33B81+0sHIhhMoqe8VBfyM1TSFi1H+LACjUwM/ed7/n7ff8iaZ3yCFHxMneMA8cw4qMzMD1Havu3HLLLV/8vBe+5Y1vXrFkvSuuuOypT3783772byZDs2Ry6ZK43o1X/nq/PZ8xO7lJoIklzczez9gv9fG/3vXul736b6qpXt2TU045PnIe6lzhjAgATVVHcFjjNRuiDQe93uQzn/7sJVObf+iY9x9/4gkwAtdmxYEmEEAi8shH7vTM3Z78bx8/ta6a88/7dohyxhlnPPoxj2ma3tOesSeYDjns0I8cf8Lk9FTg+oD9DzVDVi9aiLUTf23Sjx53atNb9tNLfrTR5ssPOPhQDmGrLbcJ9USIcadHPHzbrbduYlW0pJyCcBAGUP5I3dlfOLbYp0wEM3evY8WpT/DM8stLr2ykCVU1tXTF6Z87TUL49jfOn+rNzMbqo8d+4Jl77e7Kh77p77fdZvuZycmHb7jxG1792sneBNxB0qYEgIk33WSzl73yFaE3Gbh5wuMfv/fuT3NkCgwwcZWLAeZuIt0E0S77TuSj1l8fi78xY8aMeSiwbjl8uPuAaMIBg1nfIxkQXYACooJeSQgOJ1CVHCoIA8SUMFOBkYouEEehBk5EpilJ1XMnQxYiDBxWoVpYkMo41shVHsAnEWTAKOhPwMRqeCyASiuIpVBTCAFmrVZwoAIjAxLNYerBHAEmJZOQoXIpUsSMSgSRG6juH3vsOx6zy2Of8uS/AsmH3n/Czrts/P5//YevnPONiSWb9Rfsmfs8/5yzPrtivRk4vMLKdtV0XQlCaSlKQAIqIFh2pIymYhi4/IGq1Sced+IW2z3ryXs8p6rQowVgpaFSrDAQO8TnmQVKA2kYiA4GSpoPde2IWQFC5AwMCAJUKRFXQYEAEDK8MEV3AYwowxlWqUIq5NzGWMPhBEPLiObGNFp13eiWzqJtkYfwgnwga8J+D6qjVLN0WVa1+XtWHnTggZ/+4plDEHFVg6hVDuIEuJFnCNThXAcHMhCseArigxxjDK7gkpgSVRPF2QkBVvIqiSFbTVw5oIae300e0fLBR7394Le8ZdttN5fSVgEGUlSd8R0kA+aIY4e3MWPGjPm/ytjh47+JAFoMahyiwoEACiAxFEJxRRCIgEBmcMQCTFQoCnJEqRiiRkTiRl1JnMGZuGhBHRABrmsWYMAwoAKJtt2ED85wc4DAhADJJYVACEBRjhEQQ0wWEKKZkiBU3QA5uC2O/1Xrg5QJrDBQgEOevuez99z7r3tTvVjPnPutc5617z7Pe84LNlh/i0rCkiUzf/XCF6xYMQMAbMVtop5Wg6vGigGghqlb8UhoKjaHGaia1D5yjhMTUyMnDCdgkjHhnX8vgbmGjXpQA0AOUw11XbQAEAEzumPtZvJVVTAFAaUFQZhMfUjkgLgFUACDWB05xjonqAGAI6+5cOampiIiIt3IxnUKdwVssVzSwVxKufDCC6vY++SpHwdIARcB4KaKhMBeXEyCqUOtUnUP0hhKEzknBEBCRbExM+tCd+6BAiM4WfclrwFI6Phjjpmanvn0Gf+mBgdCYPfOamWxxXfxaow7fseMGTPmIcG6FfkDMITGTEIMSi2pcC84QC2QM0Ss1/mTFk4MBkICCKgcsCGxEtVFQxidAzUnZ3YkQVdNJ97wUFuWzpuXhYMXoIYiFy+RepY1BtFSnMWEKm0BAsVC5N0IY3UWbTXVEski1BGpAGZakawi1NDGFRZcOCM55iMCY0oLCwPWBxNMIJXCYCwOcAGjIAzNG6agCQC46g7DVDlYykliTR5I54hbUF18ort3QBG4gwxdd6ezo/usLxTYu8SfgwtGbcvdZhlI5CA0ICldB4sBrMCAwPCaXLrKNnftHMLgwZ2MAHLGAqNZvHQPXHgP7aX4oPyxyJ+7diYf0uVc1ZALqsrFWgM4AIgOKQAVDz5AmUCN7CBvrUVVu6FxhvSLCkmPHW5gcufuvENgloccJYOTccMiCvBdsBo5oq6HBAN6KISUIYZaHMEBJLAZouM+IdkxY8aMGfP/LePI338TgkuEtUNwCFxbV0eVi7oCZAzrRsqBs6o71AdsygC5E7E7EUEVZijZiFlNHXAo2MDeNWMyiJwlBHOg7jo0A0DJBiGKtxALIjS0BDGQWxd5KWAHhAqcRdrcjoIpDgWYRU07Xy0nc9EMKChgklGnlDjA2ZThBjMvrskyM8AOZLOUtY1MBGhSgFIaJCARigNWqohSFrIVkgY06zkEFjODKxDMIxAAMJRgcIYHx307PdcKyC26VwgWjX7Z0XUHEAgIjrC4pRvcaTQnGIDduyqrP34l162lS0TuLiLa1Tsyo6rgnhCIAwOmYAMUIM7aMkKBIiU4cVUngJhgBTARb70sqBcARKaq3fy+UjhUcCLXhskKzACKcEeUUpANALJ7V9zHa67B4gpYty7JmDFjxjxkWefergnuVrjXaDGABeSpRWAmNlACIMhWUklRai+IRJFd05AIAJuZKVigilBFAMxCcIce+IbXXX/t1cImUmdEppAW5l//hlc/Zc9nrU4OUE1BPJtmS3jqE/daeXe/i6b2BwOwd1YQqTUHFNEQ6thAM5jalAlo1V2kMZSF/q67PvrAgw5SzRHialCqQpOSJXhhILCRBRbmUBxGVNyIEUS6zJ1Ugjx35OEH7fb0PVYrEKWbWB1DHSQUldQHhV7OObIJjaJ83oX3oOQAyImcmNywlv5zuMPJwfc1qFj8bU2esAIiwN33E4MZGBCyMLIMIxCI7xV/ay9U/otftw+snDMzIkopSQjdxbrtpps2WW+9pp7+6CknZaSegFqAgNacJNnAXD12syqDgwMcSJhfgCsTMjkEZmDzijqvO/dicAokljMRVJBVP3LMh6ZjXLpk5tprr1OAKQLMTms9SXYw4S96/OKYMWPG/AXxF/4h+kAITswg4xgMIBiJvf4Vf80y00xNzC5ffvOdd53z9XM+85nPmBszzv7yFz/04Q8+/vGPveG666BZRL7xjW+/5jWHhAru7nC1BHhOba9poAWlLUALKFCxnXbqSd/69rnaUAbguRKGUcmI3GsHCQAK9yZnFDoczomUOiiABORRMZygDOpaAJBQASQNJ+veJRdfdsJHT62FBSV0lYu5cw0TgIDMJcHBLtkwNEAqMwRwYDgcGMAGJ53y0W9994I+LcaIudZMSdWZq140BcEErlZKGQX1Fvs64eRdv2f3l3e2tUToTilAAEMWnw91wpHgoK5Rl21kamsgXbwyGFnxQYGyaBfGD1B+wLpnJMYcHFxV1Si2TBRj3Huffe6an3v9gQc4WvKCoV3786uryckLv/+9aY6c0mvfsH+9ZFlvYvbGK64jLYj2yZNO6FUz537v2ybcKXFyaClZUwxCgS+/5Jc1V7MzM6874IACEMcjjzp6bn7Va1/9iiBUFNlBFImI4SOL4u6yL857GTNmzJgxf+asc+KPwXBXLcNcALBl5MHs9MSVV126ar588t/O/OLZ/6GElStXqioLYpRer3fet899xzv/UVXn+wvvfu+7jzvhOHeUkggeOLjluqoqkl/+/JczcWJyYuqa3981yHr4Aa+d6E299pBD57oRM2X4rS9/pama9VdsfM2VV83OLDEIuE7J1KzXBKRVf/fmw07+2Mdmm2UbbrTdynsWML+w55OfcvonT6ulWm/9jS//9TUow8ft+iiJzcc+9nGGazu04nf+/g8P32K7qd70056xR78dkOUjDz6gYZqdXf/a629zhiGSR3JnIJUFcD7iwDdM9WYOOPyQzJh3BfCts7/Wa5ZMTM0eetjR6mABM0y14iqMMrRdcnr0GW8jtbamyv9BGz2JcG8Z2EgrLJYkkAPktDjOju4da7coIu4vJu6j/P5SlcZaafT7HKS5AQwSkIC5bVsAgZBsaD6EZZR82JGHnfSpT5RSqE0nH3vCk3Z/yp0Lcz/50cVvO+xNKPr+D//rLttv/bpXvwgKdCFWAiJLCLVU7nr7LTe/5EUvmp9fvXJu3gjnX/R9G2Xni2lKadBJeIDJmdyoKwS992vAmDFjxox5CLBuiT93FzCIJIQYgwNgR7u6CSQS51O56vrrt9h266ypaZo6RC1WionI7NKlL3v5y08+9eSTTjrhXf/8zsnpYOQS2aGmKXIgyN233fWDCy9aPbj9Rxf//D3vfT+5Hv+Jk3768wvRa4YGgl1x2c9PPOGkNCx3337Ljltv0Q76GQyDxBC4KqmPPL/q7j/86le/uHt49wknfvwd//DPyLLqzlW5tUFJp5566ne/fwGCXHTxT876j/+AAG6hrp3rfV/w4i9/7Zz5du47F3ynqapvffmrr//rVw2H6Zprr/2nf/7HFshdts6kFKUgID7uxFN+8sMfGNV9B5Gsvueuz33mswtzg+Fg/kMf/pACYMCUiQhsDmKgGzM8GuZm/ke6O8lBfu/EN3fyTtgBoyrVtYWCMyD3rkPvbll7gzXyZ51Yq/dRfveFiVWVum5f4mZyyp0ooGLMUEQp//jmo0799CcmlzQVk/ftK2d95cUvejmcTjruoz/70Y9XrVp95FFvfewzdnc1NibAAGN3uBYjMKtf+vOfvvXv3qLEl15+xZlnnnHJpT8niiABPFbEAjC6O1IXoiXrVoKPvhj8T56qMWPGjBnz32Sd+EDtGM0HcdZiWYt1t5BCsDC/6uHb7bjJ0vW/ce75T3na0wxucPPCbCJiZiKy7777fuT442743W/33HMPd5gXAhiIIu7mw3a95eu/5ai3IPDszNLBwrAJAh1alAU1YQjaP9xy06FHHd0WiKG2XHd5NxoJoyAB0KleOOqoQxcynrjbk/pzfW99trf85S/+GzO86PnPOezgN6CK1ExYjxfyapCmYpdedd0uT3jydo96OAIcKohf/eJXn7P383pNtdlWm9x+9x9adQOgQEEIIohIhjAJrUI1qYQWw5llM726WrFivZUrEarOnE2ZGSQlKREAZSiIAAHQTQNZ+7N+LV8K6tzb4HyvCORuGwcCYS056GtldbvIn7tDHORr4l5GMFoz4nid4AHH2t3QXUkQeSlmllLqD/MUAtrh+V/80nNf+sLNd9zcWZvIRMGL3HDNTUur6Vf+1cte+devWLV6dYIBubTDyoQV6m7QobYSKhgjZ9LctoMDDj3sjW9527cv+v7V11xuEDeDFSttXUfzzl+wCwAb3JzGE17GjBkz5iFG+K83+cvCFBICwRfUamGUAm17TXXVVVct3ebhP7v8moMPP/Tl+z1bVZngjmwjW1kKcsABB2y7/S4g8KhaLQuCmgozOGoqUEDL9PRMBA/7C1O1FPK2KAGmg6uu/vVOj3l2rACG5GEpZQi4wqVLhTIUcHXPVURdxw032JjqqcneEnjUAhMwWuOY4C1yPVm1OgRNm9QtcSI4WgV0kGanl136s1+s2HWn1SEMvVCnsxjIgCN5qWMP/WEMk6ksZlDFT/zkx449dXK7R++2+WYbnXPO5yejBoa1JVSNOXw01o3h3A2VG3WArAX9sczvfW5e+/uGw8kcSiAsPv5ogzWxwHu3d/f7PZqvM45i3ejxGGIpJbBQCCml2NShDoQ+kr7zHe/4xfU3DSKDtWpx6Mtf3V8obzry6GF/rjKc/7Uv96ZnGDVKnp2ZgTsbWKigxFCpQRxgCUJHHPX2fz/3m0955rOv+s3Vu+y8kxooVEh9cnPXbkrl/YJ8DqxR92PGjBkz5s+fdSjy18FALsOChSilMiDPglZwwznfCqCpN7Y0u/2Gm37vi58azv+hzzjjaxduvuNOoExWqpZnm2U+GuaS4QkoQg1yDz7dD2Xl9F1exx9edO7TH/WIKZ5Bf4NqtWwahpOYC9Jss81jP3faGeI45oSTfnbbranHDcpc5QBE4ZwxOYQMm4W8xPDJ0z6x/jabFcMg0dBdawSUXjFuF6bSPVOacu6pL601PHbT5ddc+B83XHm5oi5WT9TTWz58k6/98Oxi8wFceTVlmCoA0E74ahoQd5NXitDKFXbrBnn1MvRQliBPhojrf/RDvXtVnp8zLokSNw1spMgcxUiN4RTYUav1MlaDWiJXsALKOSUAIChZoWzkBFABFTgoIRQbEjCajg0FZ0au3CswLHQLkqyNSES5yx87AUzgLtNoayKB3b//vxbS/yW6cKfTYhx0jbevo5uHEySACGpTvQlrs8wTlUlML7vwul/c6bdaGnzzs18/95tf++Bn3/eiNz75Pe8/snZcdvktP7ryqiUbzFaYQ2/9WxdknmaHjAhMJvnhv5+ztJr65XW/ma/D1o/f6a9fuudz99g9Zn3/+z7ysK0fP0EL3q4uRFmWpH41AfSQxAdwOELLUREFYM3wjLBO2u6NGTNmzEONdU78AYghKgKjattR4vauu/uP2vXp609OP/PJj/7Q+//3I3Z55J57PWfpks2ne3Ut9IynPA2ovEXVm8hlIFCBOQRUOQKgZThEMDPbYfsnsSw/7vjjDzr09XA8caedn7bb004/4dRNZpZ++/xz997vuaWqaXIGU/KyV/1VMJ9AqFEUUAJJhRJTlp12fWIdZm64+sqD9n8V93wgg2YyRIerUmjm77p7m623ffFzX/qWI4+YXbL+1VdfhyCnn376I3fdeTpM7LvPCxYG/dcfdPBHjj9xemr5ZAyHHXKQENS7OSsWIQLSrLs94Um7PGq30z5+2sbLVnz3ggt+f9NNm26xWRUnZpcuec97//eSZUuTRkFPNTvB3BysaAwR5KAWVEAMYBIeAI8oBPUSY42i8K4xAdx1AQd4AAO1W5AwTK07mOFkIAKJmQFo29RdIOGoAIHWQSePP0anfFV19Ddzv9+fmJiIFUAwZUfVTcZJNnR2Ax94wOGHHnp43Zt6+h5P/vxZZwri17767ZnpjT/72c+/+PnP2m/v/QYpm2kiMnFhh+umG2z90pe8NoSpqSVTT3zCrvs8czdPQ2oqCmKGEKq2NYDMzLWUMhoomjV1FQJm6+L7yZgxY8Y85FiHHD46JUG5tciFKgKiA1q89KkK5pylmXM0hF5J4grhPpFSJV4aJWax0kLATO4AhwwGrAJgBlUEBhxEfQQH1cmDE9xLhImyDQJXCXUGYmcZUhyBzOeNp1L2CQytf9vRb3vbwW9+9+bbbIuCJgCekyJyhIMEBufcd1VqpobKBkwwYBmehlm5N+MAmVc2ALupe5xSwIo2QVJWj5KReghiiqJgtAwlrqiSri8DhAIwCkAB5hDKcGNi97hYgKeEoYBhPRQgDtpsVE0SEM2hCUG0QGKAq5MVBAUxULlBs4doxsxd0aQyxVIQAqtmEYGzO4jhKO7WzYi+b2L3gaG+h+qCfFAWh2PfH+vOGjCqfXQs3LNy/9e/4YTP/9tU6JGDYjGUAHEFrOVoBmOfQeEMeASQIpiyOHtmBQkD4k7mztS6B5agBACC1drWUsNz7XMAcovD3/jOQ9/099s9fCMyrdjgUR2FQSgCFQ9uQrzOpOHHjBkz5v8Pxg4f/12Caxl1GWgpCI6qBjcsDbvNkFVIQgyvgKqiyi1FBHcBwaqKhbuOhqRQwMFmBnIEwGFGaL0GAbCKIIqKSEizBW6gQNau60HJTNwdTA7LVSRIzb2lxeqBIiU0gsHgnkLJgmZrCSj9VLIh1FRNebZaEBhKKFZA3NSVeCKAmRAaTeDQCAqQomhKQ46i0AYVK5AJHBCqmquGpGhrpEkHQAZBDUKdXwkc0YmLJnJnG/X7KipF3U12A1lgjp2SHhUBssTga2bBuEvXJEIGzgAzI5fM5EQYDodBuMukmxc1B5CyA6xmXVfIOPqHzuEDKKUs9tN4v9//yc9+umx24pRPfkwCYKEUJPOkhWMNCFt0QwEoArBSAAQwEaMimM0DOekQAiNi5uAEB1oURSWVal9KhpdjPvC+ZcuWn3HGmUzVYAhhMTVA3eEw7SYy0lj0jRkzZsxDhnVP/LnFGIuCAQmsKYG5VSvFIgF5EFzhChaAUvboEgERFIOBHIKsMBbhAigAFji8OIiYGCGgdFIQSUqLZICEylVAUglNEiwnhTlzckCttEkMJWU4jv/YqTs+fNsAuKPXmygww8hLOAhXUdo2AUwcyMCE1hPHAHcQMTS1q1NJ5izVJJzgxuZCXFXBoV2nLikhBISQ1dwMalGkRZFYwRQMYifJxMgKdzAoCAOlazroMuXerRz2YllCoGyjoHAQEDQXuI/MxoiiQwyAG3tb1IAYJGsLoG4mOq88ESECCzlQBQI4SKU2ynKuU/rvj835AxBCcLibgWi9jTe+7sYb++3wdfu/AQQhNKFxr7jqteYwWCkkcIEBSUsVojuAgZfkzsyNwaoAQN2cwblb0BFeSgAFjiFU4PimN79tbtCfm797yy2X9xqoOYvAeY2Pr8HgToxxln7MmDFjHhKse+KPxN2jwA0wklgbEIRD4JJzFSsmBjHMYKgiVSLIsH5hRgHa4pAGkAwMPDnQdWFSrFQNrhBVBgzsqAjRLQBMyMypc2VV78WKEVIZVgJI09STVBDq2uqQLZF6E6AOBQOoEAhimhGoDOZjPQHAhwqDO4SCwh3u7YAIvboXQjVy2CCCOlEEOKdkphHSmXHAvW1zkACAmdSVELxrYraua7jMtW2ICIClAaCAKaOr5xeYAAZk8sD1yPqNYaQFDkAokHaOYaQoNjIGIQfHIG4KWJRa3b3bXgAjUwK6SkKQo6h1pQZYDHGvCyWAf2zOHxHlktH5vDGDqduCIERIagC8QBitQrgCM0cpuS1ANjRSwcwtg+cpikIclYGzDgBjSNdHgwCUQQxs2SNFtwCKcIGCuPua05m4uZlpAcCMyIhY48YyZsyYMWP+7Fn33q1ZDK4l80geqWpr1qbcDzHmbFDCMAFcWlVgMAQYHAIUBIQgwOi0VVQpjAlqrmAWAVEfhRkBiO6elBGQoAWFwFVTWoVTGioBTahIPaW82OHpKWvk8OYjj7jisqu6RlYxDmA3eBQjD01dXC3rLrvscvBBhxBBoepKIVDdQ4YbHJ5VQYAriEDsyjE0NQfAS0kIAKGuYslK5iAwRUYAWF1ARQIB6NV15+omFSMPAOtmsRgwyjaTF/ABrztk772f18IH1haYAFADAAU7GEWhLUohuItoDUCY2nZAILdAIAl2ztlnz0wuufqqG9xh6poBQ+SQSunMgrE4W3pd0H/Ag8/5iyE6ICJu5qXcdccdD9tkk15dn3TKSUEYbtq27mBBNqBNcEjnoMJdSaqLGMhTzsWRDeZUSYQvxrQJKANE97YVIQNyASwAARxKQTE4oNZus/XWVdU8+9nPH/SNIMNSQETUVTSMGTNmzJg/d9Y58ddaAXElEQ7khABoWnX3HVtttRWJVFPT519wEXJ4wtbbL5uebeLEhpttvHDXAPO+xxOfsTA/yF2ICrjkiisOPPSwGgzAoApr1WCBwGpD4VJ0eN63v9MLk3VdbbD+0rn5O0vRp+/2rOEdqaqk2AAwGMW61pLcO8PUygtcLdaxC5WJEoaZiJVYKbRtFnKFXnbt5R896UQHAmKk4CUhKULPEB0kbKZDkIN5mEEAlNAailIMxgp2ZEQTZyqmBaYGN0gIHgBkQQrWCmPgUNQIEWgjWgEc1CK2cEeOnk/8xGlf/No3tAoiUsEs9cFcHMaAI7pVlmElAYXIENRglpsqwoMgFE2lzD/3efusvGvVjttvZwUsRQRwaEYTqu6qjeJ+63Zd2dqRPwrBzJ66x9NX9vsHH3gwvNx5y++32GzjOk5MTa133fU3IDbzf7h90003n6xnlyzZaH7VSkBhw0suv6E3tawXZk456VOBKqByBbNTQYAh5Uduu32cnAh1s2z5poN+uvX3t2+26RaBq4mJib332S/lIsJXX3PlTTfdvN6KDWNgdTAFAKqZoP/FMYwZM2bMmD8D1iHxNzKkYgJYuynFTLDEJT3rKU/9zvnnry7p7jY9Y69nYEE3WrrBbbfevCqvvuWOWyZnexh4KEGMi+fM2lJhqryIAJotiBsKCcOpB4ma4PO//PXP3/Ph4++eb9s23X3375ZNBe/nJbIeDSoYiPMgD8FQKNWEGjBce9k1U3HipJNP2mGnHeuJ5oiDD7eF9Oyn7/WpT55e11OTS5f95sbf5zR85K47sVAn/gBoHn70+I9UzWSME3W95MTjT9R24bGP2SlwLRJnVmz2q19fjaKP2eERM83UkvXWu3XV3Vqw5257fOnML4jEZsn0lddcQ8UDYag+hJgr0sqPffTdn/3MpydnVtSzG137mxtRVn30mHf826dPXX+TLXu96Y+ceBJDD3nDq+PEisPe/vcFYC/QdM8dt2+08Uax6T1tn337gz5SeuPfvn5JNTE7Mf3Lq25cEJg5QQGy5G4Iwt/4+hcnY7PZhg9bfRfM3K294rJfNnE21hNPe/oeoxYSYgAjc7N1J/63Fg6PIaop86i2LqXUNI2WwmCGrFix4uY7btPS/9GPLjrkwAPzXP+d7/yX71zw/UG76jfXXn3shz+AMrz2yisOOPyd98wPB2n1YYe+1oDkwSWCSpDs/QVAlq+38W0rV61Mw9vu+v3kRNU0E0996lNT219YWDj3m1+NMTAYQCB2dxEwgZndfV3sHhszZsyYhybr3Pu1A2oqDDggAjMy3f0Jj/v2uecmogwMMyBNZRQYipbQVcFzzKRtAiHDlMjMJquJMoQwF5SMJCQgwJkjA2njTTa8/vobf3fT7SQAhsCg1zS5z9Hhw8LwKtZQJGhrGeSutv1Ouyy0fuDfvuGKq6+Y7w9POvEk7+s9t93TDstd8/Onn/n5b37rvIpxyS8vPufrX5a6MocVvemG315z1ZUpD6+57qYXvvjlB7zhgI+fcsJ73/2OYqv//ewv/ct737PjIx5+5qkf++bZZ/f7g2+ce94//K9/Gbbl7ltWrbx1zszP+MyZF154YROpHWoIxACTwwfOg9M/84nb7rjzou9efPABB6v2lftnnnXGNddcd9Otd/3sxz9JaXjKJ08555JfrR6UGiB1s7z3C/b71gXfHurg/PO+HkK44PzzXvXKl7Xz87f+7ub3vu+DKxUixExQZSJhpDR87vP2nlv9h6233Lbto6qoTf2DDnj93bfeYbl/4XcvXOgvtDl3107WtBisexDI4cKCrufXfWZmxnIRjqPe/sgoQ7jVgbbcYvPYNOYUQlVaXHrJLy/6wfestBec/62TPnaGA2ZgIABCkSmAFFyoDtrvm1My7zq1Q0TObVVVOecYiQgCpJKExd2JPGUQYKWMxhCuUxZ8Y8aMGfOQZZ0Tf4QgTKoGhzvDg1T1cR8/Jaf+iqnZ1x96tDJAfvfdty5db8myqamZ2enVc3NQryL16qZY97lJqplKEgLMDRzRAIBjaK1aAXjDZStu+PWVL37OftN1ffZXzjZQhreeC0BVYLBbNyS3F7lyM4oMLxjO9Soqqc8EVcQ4u97kile87FUese9z9jri8ENZqK6rQRoOyxBAHaS/epWVDJGJyZkQmxjDsN+fmZ4AQZ2UPKl+5NgP7frInXt1/dTddl/IuaqrDVZs8rrXvK4k7Lff8w7a/8B2qE0jhlKjlLZfYPM6PPKoI6YqPHr7h+XBMJu2VTjirW+ZqHnFRPWF0z/VVPVApelNmnoxSAiXXPHrXR//2O222642xIQqVv/2+TOfsc9Lpiem1ltvxa23/EENTFAta6zgQiWAm5c61L0eckavaV728hdvuNH6v73+1oVhOzkxWcUqmwIgkLq5O/3FDxZ5wPF1N5gqgBAj3FNKg8GgjlXJZppB+s2vf7Wp6ic99oknHHcCUA4+7MCddtppemLpud84b8P1NyolXXnFpT//2Y+WTK+YnFh63ImnJYVmx2gqD4FUZiduu+2mLTfbeFkzuf/BR/UTQPqd88+bnZkNMvmxU84shir0QMIMeAmMnHMVA4CcXTj+D5+nMWPGjBnz32CdE38GAkyiORsxjBpQhTI84k2H3z638Nznv+SQw//edLB8vdm7br9t9byuXjU3s3QaGKSyuqQBISoiwE1kQcsMBBLUxQgAopEE4grUY2pssPDrX/905dzKc79z4QU//NGgDENjxIDCSyAwGAms2RgOsiwZNVeiUSwBEEBDZb1AlQEFiJRh5G5ENDUzCYKpbrrxRuef9+3AceNNNvzHf/wHKHbdZZe9nvnSwDMfPeG4gw5+tXqZnp26+fY7BoO0MBicdPwpqUVRMkMIiBCH1T1Rc4LBSggS6mBmsakoQA277LKLxKZkVycJqAJgyQ1BejTs92IkRl+TVDWAWmJOIAGImnri6mt+MVcGKaUvf/mLvYDiysygAId1TbwooaoBYwYIxezggw9ePVz5T//0T5ttvsXd99ydS16T5x3l7v9yuTd0dt+jdHcCiYzcULoI9uTk5LBFCCyB4Gnv5+zdnxuuuvPuPZ7y9IXhwnaP2n5hOFfSPe/4h/+14w67iMhCf9UlPzq3379z5fCeT/3bF+9ZNajIkDO8UhMPAgyvvO7y1XfdPhguuPG53/nRehusd9111w5Lnls1f+KJJ//2+lt8NGVaHVpVqCIXTQBilHUvGz9mzJgxD0nWOfFXQVIaAJkEKQMknhVOaFOPsM0WW6oXbrA6r5IqKtgdORmo5dpZLDAToObsxXVgyKWgKISkaOveAplRlYEDEqcjatPg62+0RU5cE4n1YwQGkFAb04JlAepYIStgHoJR2mD9pbf87gY3U0MZZJFYSgHAUHgLDqUYM69evRIAqPz0Zz854YQTiqW2vWvbbdYjwje/cf7dd95UbP7rX/8qASKy4847/uQH30dAKkngoYZF9m54nw+LtsVATIAn7sEKUp8HqwNo4PjKd39QOMTY6xX0iDIwZ6oUoaiGmdp5RiKgJ/VOW2338x9efNmVl6caA0EpeZdtdzjvq9+COkVM9BAITk6II2nDIBK3CJNchm1xjlAFNxNwnPHZU1/4whfec8897h4kqLu5dQHDkQD6C+U++m+Nt++i5GUQVMEMIKVk8FEwVQQhhiCsYGYEAqx4Oxzg6U996mMf9wSnuPvuT33LYa+Jjjvu0M223GZmpgfxb3/1q5P11NXX/35IjCaiXaiYbFB+/pOf7vCI7dvBQOrac17oz1kuy5YtEyYUdfcY49zcgEDMbKqw8aTnMWPGjHlosM6JP3bvVY2ZujtXUEJ2edyuj5to1puOk8/c/Unv/8D/9hr39OdnlixbGibWm9ko5SGm6ttX3bl0+fLpWC9dst6N110fVD/x8U9WdVVPTu61576eTEBEXGuAiVRTl17+K+nVFKWZmbr597fv+ZQ9aw6rVt6x8WbrL1sxG+vmmhuukxjJgezdyOXWFLF53kte8qxnvXDF7MyBBxwZlsYFGxB5D2hAUL37jju33GKbF73wJW9745smpsINN/zm8U98wute97rIVWSZnJq94bc3PHuv/ZYt3azmqcne5J7PfhlB/uV/v/vV+7+2qcLyJdOfPPV4YgxtmBxgBLOe1M5wQoQkAJExXLXeZO/Zez5v+cwm//KhD3zgIx9Bqw2ELRdXEkkU2ePjdtzpmbs9+jOnnjDB8Qff/X60+Pl/+9wjH7nL1MzkU5+1JzEfdOjhJxx7wnQzGUJ8w4EHuufiuZgBAQxnDMrwI8edPDGx/JLLfrZi49mDDz0yxN42W2w12QSWaudH77rppptW8d6eX3PzziRk3cPNVBVEEAFgZoHFPQMw519ccnlspupqctmSDc4844x6svelr311ZnZ2embqQx983z777hXqide8+uAX7bPfZBW232bzd//LP1YBlgZmJjEko6RcCnbZ+THT9eSS6en3v/ddW262dLjQPmzjh9X1xFZbbfWVc740OVk7FORmcKOJXq/N2r2NuP8lK/IxY8aM+UtiHfL2XSTDDCxZ4RLarNORkApIPModxSYC99KCcABiGzh2nmSaQFbqmFkMCIbKjQSKzqUDkRDEirbBe2BkQtKFOjAhpKIhhAigBSxAoATE0mqKPCEAe4Zr9soDw3NFCa5FG/aKM0BARBFoSXVUWAWmYgomRSEbnnbCCTtut/1TnrV3Uv7w8SfvsM32H3jXu8879+vN0t7CcP6xe+//nf/41IZLumCbDJFEQOhRS+KAt2iSUtMi6tCma06EqvwefNvHjj1lwx33fsKeL2oCZlFgc4AXnmxRm2tPKRAjZe2RKcQDC7wMETlBCoSBBkZlCIpwyu4WSaEMqcGUCIEyq6NEZCoVtEJEYsC0IsewoNcMgQB0Sl1EpOsu0BJYcG8w7KG+IO/DmrDf/YJonbdvl/wF4Cmvuvueo45840fO+mQoYUKCE8zABUSAoPBQYeSx8gjCIPV7UWAEOKguggzkMj8TIkyKcQnsQC871BDEoBTIzVgDKEE4ZylEMQK6EJju/P3qo976rlNOO1kq1Ay3QgxzZar/h8/YmDFjxqw7jL19/9skMMMEHABUUYo5uIKLZUwFBpITAbHzmvACCBArxEpYGBCAyYjYCiVVIcSAICiliNQwmKK1EkKVPbuWnlSxuOeCIAhQgUYUpAmpYgK7d0OTidgzmGJxAnEgZwEaR4OcSlDUXJkznFw7p1cjaOTwhN2etO++L2l4qtdMnH32F/fbb58X/dVfLV+xQZR62fLlL3vpK5YumQYTUgtBLSRQ88RdNC0KihoMQN0wHFUBgiCVBYq96dkamARQEhAyTw0RGGmaSiCDAVUUL5GYHQA0VgksoJ6hUZibhuhCRh6jaOkLSosMMOCuhTq/ERc4QVAUAJhFU0EdyshBVgEECe7eDbpb0/O7Tg186ZQuUXfOQCKq+t3vfnd2oveJT5ya2tH8beqMBUvxkcWMuKNoauoIFpQAq5GTWBvQnwhRzXNJFLh4579MYIGBA6kOmIYAYASzWFGMcHjR4S477bTZ5pvdcsutAAKjlNK9Vnic9h0zZsyYhwLrXORvDpgyUAHEEmeQVHCoA4AEGLkTBEktGMQYFdQBNoeSCzILAwZEayk5AiMEBROUbYA8BUZxUDDCABo5kpu6gUMEZKgQBpU2SAYZdBoh+RwTCJN5QL2akFciEjChiM7QMlcFJ9SpMIeYgB5AVnwwpN6UMoqigpEbAg9KYhEhIJcgPSgQDW0BVwBKRIYxqHIiBdhACURaSKRqs4WKxVbDHRKGCAqpESyhiui6LqpYaQYJTGAYMDIwaRnMHKTk3I88CQRYp5FLVjAzUTEMBT2zKAUeYWTFUs0V3OAGInNhYjeQZYQMIisVkZArIGB4MQo8WoCdyCAD2LuvOYvfh4ICgi4TSdZNc4QSAEjnpELoJg0G/DkuZ4ctKijunu3i7QCgpqEzWdPRrQsRAjQlgwqIlev5AWYaEDLSAqqpTKEAhtKDcSke2FRYoipEYCWJsKZEdWh9GCkKahuSRIIgI8UcwBmCYuwUA8GsFQpFSQIXpKy5kp47RwI8gar/+ZM2ZsyYMesI48jffxMeuccazIQEMDeDGphV1eA559TmWhgAQheTAitrdhBL7E6sOXEBA+yuzAA8a44QczdTkBOj4SiqoVhjIQAZaGvOwRcYAIdSZjwkIFAVQGK511AqpYTG0cAgpG4DCVXG1HwrEqIgE1IuLTJTPQVS01QJiBgcSm6rIExuBSH0oApPpRTECimDTAAGM5DbFlBNAyVSiBEcXldsBYAYSSeeIkLKVkVosRilqsKwTVx1dmEWEVTV4RJFhMw9hArMuVUngNC2OQgz8WA4YHQ+woCAVBkQjgpuk44sagHVzlQ5QYvlTEFaghMVy2ZOkVW7MTvQzngO6C5Gt4hH3RFrB5/oAdnT+/HQiVSZGwBh0e6Lysi+GW3niMzdyqa2tV4PbQvPGTHCtRQQwGCHQ4SgRVtTz7mknDiEosZVzeCKoqacU5KKzJCLMRg2BMMUTJEJOWtnthKEVWGGSgKgZsUU8LHyGzNmzJiHAOuc+Aujn47AqSS4ETHMoerCzlxVsY5RB1mEQcjmyCCFWOVAcgcrmAduQGXgisQsO3uQioyIAlcR7ARYGgoJcYB7ABx2yVWXvfLA/YVjABoj5OKwnIy8IQi0VFUwqo1rhJjzkLm8Zv/X11NLD3/T37WGYkNBrgKj06ZE7gpXGDxriKNyqxgitCsWZBMCA70IJrXOupiqICiDww8/7El77LkSMKkIBrUoANfgqhgzxEpuAqdcJMBLq6Wtmyo7MlAzk0lNU47Oe8OJyMxyTo989K6HHHK4udV1raZFhxPNRFErqgCQM8hhlopnQOo6qQFwNQ5wKNfs2u6///5Pe9be8wAJJDLY1RxMTlBzDuI08nyDKy2KH8Z/qucWteDakcKHCl3aV01FyNQB3HLT77fabPPlS5aeeMIJMEMpIGJmKOoaxIBrTkmks/EFg6EJulBHFqG6DiFWQ82FYSS5NfFYm4h6ykYREDYAYmU4dItu3eBJGQ4HO++8M/PkM5/xHC3i8OyDIMyMsbvbmDFjxjwkWOfE3yhiFMXcqlAFkC0MBqtWb77pw2JdhYrPO/98n28fs+POQYTquGzF0vmVq7DanrXHs29fudoZxYsH/OKqK19z2GHqTg4WtJ4IVJmouXY1bamNXEHRWf4OcjLLgXiybsidikMIrLW3TdUrJcACcoG3bFmBIZBib6j+6VM/9dOf/DhbcUbLUZHUB+AhSGFchR6RgwZUG8BZo5sQMkLrnt3YiRPw/7D33nGSlVX+/+ec8zz33qrqnsQAQ84g0YCigIIoCJjWtGZZBCWDyKq7uu6ua1jXNYAgICjCKuaMJBFEUHTFQI4iOcwwM0zo7qq693nOOb8/bvUwoO73t+n7Van3q14z3dXdVbfq3qr7qfOc8/lMJwWTMAnczAGD1qedeeqFl185jdAAsBowq1Er9xXEpQMBxEAR3VOfSIU0oWkISkACGsaAGJzMtF0blygiN99yw6dO/aSqOuCuoHZhloO0ZaGEuiEEQshAAyCUAItQyqm2OtVThHzW5z7zvUsunmGoZ4MblGRUIqTHdpYREWDkaC8AfFTxbn/8p1TeW4vHvzAJ1KSmTfhgIRC63e7ee++9eMnDRx5xNMgXP3j/phtt0C27vd76t912L0SWLXlwq622KqVYtGjjfr/f5AYhfOqkD5exd9FFFzghAZBIXBgQiwIN+UD3fMYzJ3o95mLewnVXrpp5+MFlW2+1fVV1i2Lyec97wWA4U3XCNddc8/BDy9ZfdzOGOEKkjrqCgCduAsuYMWPG/CnxhBN/JZE7nGBMAMjBzPs+7/mXXnrp1HC4utG9n/tcSrrxOhusWr56kNKS5Y9MzJ+LZIPVfQmFgVikNmvgVMaCCIamP2QK5gYFQQA0qSEJ91x/45yqFzqdPffdF1EOPuiNz3jqU84563OTsTu36N332zsHuX7yk7YNHCfnLbr51ntQVO9+29u/cu4XyrLXXXej5TNDljnqNOz3Q7SBwVBViKec/PEidkIIp592FgxpOPj+978VuAixc+wx79TMlgZvPujV3V6HY+fSK340cEgpCjS5JlBkQj1z/BGHTPR6hx57XB+YgQL2g+98p9fpTsxdeNzx70yOgBCItRmCYN6gGfztO0/43OfPnpwzMXedjR5Z2keN/Xd99tmf/0qnqnoTndtvvz1n3fnJO7HQGZ/5tIhkzUHkvAu+w6EqY++TJ38ya0bTf8aOO8yJ5aINN128oj+VYU7ICiIJEoSI9fDDDu315r716ONmACYi8gsuuECYi05x8KFvSSmDqL2sZfj8+3xGHueT/Puu/KPk978qi1g0qQEAd01Nzo1Z7hSVCCCyaIMN7n3ggbru//QnPzv6yKOmV6780Ic+cNllP0jaXH/tDR/72CeY+aMf+eddd3zSWw5+WdErB9a2FFJjzahgNzRS7oVi6eKHkjWPLF86MXduEebuscdeg8FMk6auuOKSsoyBixjKprYQitTALTgiUzDL4PR/7TkaM2bMmDH/ZZ5w4g+OpqkN5rB2khTAU5/61Kuu/HGgYCARQQbqxI7VmpwYA4fTvF5XVafrmjgwc2OZ2LM6FEVnUttVR4YCDsQYfDBz+FsPW3zv/bk/+Mlll5Lpued+8efX/+p1Bx+0qt+f6vc32XjTsz55ysmf+kzO6Wc//vE73nZUWrFi2dJVl//sV8vrmbPO/cxfv+N4U3eTyXkLZlIdGA7cdPPVN91wbd2syOann376Lbfc3p9Z9aVzPz8cLl89M33yyR+tCjr/vAv22vPZ04PpZPVeez/fCApk1xCCw90yopx06ik/vupK5WIIMGTVyke+9tUvD6b6Kx555KMf/yQTmzrUpQhNGkoZUA9nVqz45a9/9cDqlZ87+5wP/tMHsbLOM3l6ut9v6m986+vfv/QHEopf/epX3zv/2+ZNq9quvubqk08+adBMmelxxx0fhL9x9mcvPv97q1dPX3jhxR/653/hgGSKEC2lbFmhIRann37qz67+SdHtDR11qlesWPHFr3yxX9dNk84667MQ1pHWe9zR286OAGsLPHrs8i499v8/RiH4+1+Sbc/fyPKQSIqiNX/Bmn5JIW2aGFAU1RZbbDEx2U0pubsqfvGLX/zkyp8w8zvf+c7d93yWaRpmrc0BBFDF0R0OoBNh1qvKCDWDAwkgRBapUx9kdZOIolkESAIRlBjCUIUpMTN8LP7GjBkz5k+AJ574Uy3KMrsSKLYriGX5qTPPnJqa6pTh8KMPzw4wz0xPz1s4b/0FC+YsXJRTg+CpnvGcumWZFBmoOkVTT0dpe96Q2ngDgjCGzdBgFOllr/iLrbfY6sHf3O8DI80ZeXUeeLdAQTBgWF/2jW8/+WnPcsNTdt5mx602hTbz1lnvqOPf1Qd232M3r1dHVVOsHubQnVB4CfzgkvNe+9rXknTc8OGP/MvSJfdNdjvdzpyF6204GNZGyBl7PuvZf//e9x991LFJUwNkBwEpJUAYTGxAjba/L1bt7PLc+fOKIixcuCAPvVsgG4QJ5gBiLHK/D4kTZefIw48YprTbnrs/smqlmy2YN/81r3mdqu6///7HHHVc0+SyrGYG0xzY3dXp5z//2d/87buEBWAC9Qf9kz5x4vY77TIxZ/LZe+6xevVqBgoRbYZcROGgpgC4UwCYml4VCEUsJiYmqlgtXLhwxYqVhDZdoh14dfvDnXv82K95LaXHf4LHPRO3Tw4wal1oxR8DqoAIiC6++GLhiefssedHP/pRMB925GE7P+Wpvd6cq668apNNNqnrOqkC0QyJyANlA6mK5khIbWWUffEDDyxad2EpcsTRbwOQ0L/0sgvnL5gbpDj7c18iJ1M2hXs2H8QCBoiAR0nZ42zfMWPGjPkT4E/uJPjfhhmAkJiPbOW8qVHE4447bjhsXvrSl77t+OMh3Ov1lj209JFVUyuWLZayxHAmBgqAK1hAAJt2ReAKRapRMmczcNKEXlExHFGOOOH4B1c88qEP//OiRYumB/1GhxOxsn5NDjBgedAMiFO77Fl2Jpumn5qpIBSAOtlWW20Vo5SCkgsdNiVGzW3CDDNzNHVuamPm0z9zxsMPP7z77nvu+/yXQLHOugvvf+C+Y447tjsx74zPfS4Q4OgUVXbKZjnVCIDlGEtvrANEABROPfuch5cv3u1pu77wgJfBPTUGCaqWYaE7gbrRRntVpxs7INpsi82pLAe5IZY1M+NFUWCU8epmRkQzMzOAMdgMdZ16ne6cefMXL1k8PegP65WfPeMkShAGx9A0GeDIFcyQDMBkVQVFalIZi89+9rMrH3lkt91223e/A9x9rcIdW5sPjNkZ2HYnr7XDCWv/ZPT1n2IrYNvwN3I3dC+KIuecG4jAVAG86MUvrpvpBx+464UHHrhyxYpdnvK0uh70+6vf9a53bbX5FiGEGAskJ47KMQMwSDImMlMnKBt65dU337C6aWamppumueSyq9ZZt3hw8V1N3TR1PvPT/3b9dffyGp8darL1HX1CRus9jbH4GzNmzJg/AZ4o4s/XQMjIBJA5AQ43ZpiBmUGbb7xJ0zTmykUEUevrQhVQFSGEigM5+jXMURpR0wgJCCHAHMzsTDGCHBg2cFeyzHbSGae96o2vv3/JQz3prBe71cph7AMRmKg22nHbm679KTN+fcPdP7/2pu5kV3y6opqAr37tOwsWbZK0EUJpqcjazvduucX2X//618FZ1f7pff+81TY7AQyvWfSaX19DWq1cOQAZRLfffvtf/fqmX11zralGVzITksAhRoI2AKlRkXVCwQpQBDkVfPOvfj2cnlq5dHkIDAGFSIieDFxWoUx1AvD5z39+vQ3Wg6h0hUFmJiwGSympaYxRVdXdzPbbb7+PfOSjZllVo8SU0nY7PPmqX/zCBU1GdFQy8haWUBAQEEERLgDyzMwkUITohsAxN3r7LbdPrZ52dc1OgJmru6qDyNuFUYKqEuBmbXmsjUUmAA7V2cqZOcz/N8Z91/hO//fTh90da7lYO/wxW0ykqszcxp44jT7VwBAjyrIEAGqNx7HP3nvtvvvuUYpshtCra3ILlhEcCHLp97472Stvu/N2CuzaABlAWcbrf33tNltsCUrMBPDih1dNTU1tvMn6DriDIIQYQ0nQ5H0Ra7dyzJgxY8b8CXDcBX99+CXHHH7JMe/69ntW+ArL6u7Js7m6upu7q7qptdJJ/U8TW4N7csuWsg41D92bQX/1dptt0gWJSLVg/vLVM82KwdM337GDiBhonfUfeGC59/3JG20bESlWRW/OTXf+9spf/DtKBqGM1Z577F2rDd1nLKXGXdXzjDWrnrT91iF2Y5x7ymmfGXrq25Rb89ZXv6mDcrKac9ON1+bmkV2etAiI89fZYelDM95f/rZDXg4C5qz78qPetsptWE/vvN32hBJUQvj8H5zvvuJjH3mXEIrYvejCnzZDX7743g3XpTICMnHhxddo8ssu/E5HwIJi7qI7poerzdyymw8aH6jmvNIH9+66wwYihGpdxHUuufyq++6/a515vaqMk5i45KIfJndV12QzdVO7Wpr25UtPeP1rSYBu+ZdHHJez2yP1Pk951kOPDGv35Km24YOLH1pn3XlgQNDpdW+67dbaZ/71k/8kBUIsTzrpZHcfPPDAxgvmcyDE8hOnnZHVUzM0y9m9Vs85N/3luzxpUQhADOiuf+kPvr/4wYc2WH/DInaDVBddfFlWT+6DZNm9vSTN5m7uKaX2OLWsbu7u5p5z1pTd3M1zzqNr1/72fxrV//rLxP7AN+0mjx6Vq9bDRxYv/ssXv2RgPkw+GE7deOPVwhCU3WL9G6+7XXXme+efKwFAvOxHP8/uTR5881tfWheIBHQWPHP/V83MuA8G3/vaF0KJG+68OXvy4eqnbLVJBQD47oWXNuZLl/x2vfXmAAjlvJtvu9fc1fqm6YF7Vv7VG9+2alVd+zB5v84z7n+6bw9jxowZ86fBmnNBNv3nc/91mS8d+kx72pk9Y6i7mmt2N/V7f3vPfb+96957775n8T0PPvjg4sWLH3744WXLlj2BEj7cHUBqG+eZZs2azcwCtb1LPDCNIkGB5ChIGVPwSZAM20wyoESCMojBAJJpYCa34XAYO70GqBRMhjSDsphutBO6NAQF1FIHgWeN0rUMBFAeEruSM3ebAcoSGC57+zvf/uZj373Rtjswo+PDCoBVgwaxA4KJTYMNLkBHNTjAAteBBIOFOpWhgADe1BQsu2gopoEuvGPZGueyGORchL5QhhFofpuoJgFwJfKUU9SOQX1kco2hwyj3smLYvP2II477wPvnb7FVUiwQSAYs5SImVeEcSVLWIMREDgG4zikGZB9GKt2DEA+HTSUR4kOvRYqmTlWIImRwdQkESxBpwAngJgeRyGbE3NSpKGNr7RyKtlALNTWzGB6z1OhwchAI7hkmLN4an6siiLoJMbLCgSD/G0u/a+Yw3F1VQwj/xz957PavtVFrfVOnpohhlPABwPHIkodPeNvxJ53zxW4lgZzRaDbyDnObYjIAJULHEZNCLVcRZlk0GXVXZ+lUiAnMGZIUPJ2aDkvBAndwcARv3XPIQHBwdjCBMWiaqUgTK5fj8CNPOPfLnw4VgDRqqXQFVf8zz+OYMWPGjPkdxgkf/0WEJaz1qMkRWMDtQAIimNposoJyVs+5Ax+mhGLUJmba+uclUvMMIlEkeO5UZbtTiGE5uYQMKorKsnMEMSqJDuJQJMsekV2JCA7jrgFl6bC+Q+oci05XYB04ZwWCA7GDDORmAOaUM6hAE4SANhQ3BG0AKssCcKg5FSWoAgsBsfW1dmKWpp+rEIiKpASOphoYgaEJIAKYIGAQjODD1LTne4EgCGChWw36/QD0BEkxbAYoSDMKEYHUTR0DM7EqctKmyWWI2bSgwuEMV/WqKAAy10KEkbtlISKq7k7ssNzKUPYMgAuJ4jA4CLGMOYMIMUKzCUNzFqYYBDDAHG5u7nDM+r8QCYsBxAxViFj74gDADBEATf4fm05tP1q4OzObmaoS0X9W+f0HFDGYW9v2B8BSMrMf//jH8+dNnHLap7MhqXMIPmtk2S7LZjMAURC47UwoEAsOMlkCQ7AAZO7Wr/u9WBVSQN3Nk9qafLw0aBfQs6NWrw3mxs94xjPW22DBilWL280xl5TN4aD8P/V4x4wZM2bM/x7/YyenPxVMs4hk08DilqnNejMjDimnIkQA5mhMq6K1Fc5OaJIVgdE0XHDwTCDTRLEkgsIJBmcBnOCqHCMsC9hcDYQQNBtUgxA5C7NlZTYLDNPQDq5SkhBhdNqpp1ugDDWQUdeVSMBmJRsVBVRjmItsYAULERJgoFgUOpzh2AFIhExrZhaKWVEJzM2cWKRgaJ1RFSZwEAtpbeqIHX7Uh7lxKqJCJQYHGs1R2Ny4CB/99GlOYegAIQhQFeY5SoAj5VwWBQE5aYilMAxwuEDUzMwkOMPbajKLuA+YuE5DhI6IkJvwrLwmdhdkE0HOLoWoQVWLKG3XmxDcchB3ywZnZjdyAtMorbdJGog5UOMuRO4gEQAgVoAd3LozNkmq//SAgs1aTT/ueicAyKZBghOYpa3BB/4fMz4morbypzlLjAvXX//2228fdCtXYiZHcLhEaAMRZDPARMo2wzcIm7dlezaDYBRnDaY6abeczCmHWKialBWDs4KgIh6r4N44mVDICpYYg1z9819JrFIy9ZoRmdippHafjxkzZsyYP3qecJW/KEFViSXDRzUhcyIaauIQU52RYQQOktygGsCBEUsGAxW3kwTkzkJOqkgCsQxkI1gAOLSzkwxDQTEUYdqyR1YHmaDJaBITBUIGDThYgrkqca2UEEFgNKQzAcGZagAERo1cA6iJMyJCBCVtmro2AjIIMKmYCMLUNI0hg9ShQmAfMrEHad3YhFmdgSqpwpKU7AW3/s9wx6jgA4Mr0HgqJMAyERBgWhO5OCLgBmYmYnMlIHAkANAQIxx1bUxQVXcSLoVZLROzZagA7mTmWntgJ8qAG8EN0KSZmB0socwphUiD3IDBkZucck5ERmJkCjdiF4arMoNBcCegdpMoJOQAiLRV5K0UJRhgs9O/HMTXngR6LH/o+GndpX/v9WoaJKSc2voiE8t/Xvn93jmUNdvT3qC0BUUz6XQiSxG5VqgxQZqmkYjU5CBBpATYzLNmQN1dFQ43yyAUFcBIOcVYMriMlSs4VHAmBztEvEnTlmtiAliNmALA7iRFAdMYqSxYMXSoCEwZVqy9zf/B0zhmzJgxY/4f8gQSf+1qoGWPEtRadxCHA8mapmGJCRpCaKs6CYp29TB7YFEfNnnGoACxB7CcePLHL/jB9xSaPXMowSXMBVlzJhFjdjAcMlqbRcEBYBSFR4IYAAEYJBHCIg4hKooAYVc9+sjjIsX11tlwpj8z00yDI4WOmgVOarBMQJSikIIaVwKbkzcOrVOaCdGDFFkdQGAEGIESABE09fe/893LLv1JDTAJGGbJGA1SEUSbGoAHSpoBZjCTDJsBkxMcDA2ePUfGcGDMcFDKOTCpjlrrcj2EuSvKgs0QJLR5JwQRFlD7V2gGfcAu+t55p3769Bn3QQYRISvgRG4AkcA5xGgAh6AAQBIiBzLPqakRcOLHP3LJhecDxkLQTOTf/tY3JiYm7rrn7mTWNOngQ99SdTtvPeqIZAZGfzjcfqedyiCnn3EGCCllCZz+cKXqD3bb4vEXczO3lJOwpJxE5JZbb2Gmiy6+yB47v/Ef8Li7/p1vR8PJWXN7FdxBBNVh7ivAAjgbUBQBjlgEVQfYHTFSFCaAiERAsBDYvC3T5RCiQNzYDdmZ2o6IjChQqBSBo6hp06iwtH2WIQKkIAERIE0zJJiqt4bTj3tE/3/09JgxY8aM+b/ME0j8tTCTqhKzt2YvxMi60047nfTpUxjy0EMPHfTa16es2tpZEABJzVAIMbKTETPAWjfuKgUBKiRwbgNlzbO7ZvgQRsxWN0jaEaEmwcmzDckGzH0oCJxyBWSCOwQIllVTgl193c0x9jynqeUPzpkTpSgahNoYgGB4zbW/7HR6ZeyUUpx2+klOzcmnnnTJJVcQVwg49VP/+ukzTt7zOXu7Fe6uPjzkr9548WWXEoCc0V994sc/8fTddifg/PPPL7kKsZi/7sLpwcxDix/YeKONOnFOiNXz99u/0Xztzde89fC3xhjZYdAG+fwLLzzjjDPM0OuwKhiIIaZcB+GclJhDUQAgQttKR4C7ty46qWlaP74MFJ0OZvpFiCDKjiKAGRCy3BCTzVo3103KQHY1eIZlT0zMxCEEeNtRx0Brvcie8stf/vLpqemNN944MEsIZ5312St//OPWfwdAVVXXXHPNV7797TonM7TdeLKWWPlPqbT2a1sLZjY3Znb37bbbTs3233//R81lfofH6aHH3cXad9T+2x6LQUJrIpPq+rZbbinLYt68eYce+hYAJNDRtK2BwCIAzEZ20GrKxGYASHNDDCPNo5AbbjOROUAdcPDINtEUGTDhoiw6ANwhbEAaJXkozLhT9IAs4sDvz9hb+zH+/32VjhkzZsyY/02eKOLv0dMqmwhFEKkxBaeYnfd/9gvKVeq1elEMAi+576HDXnNwv0krRT5x1t9dceW5Z5/0d6d96B/nxAXnfPVSmrPexb/68VCXrLjn+u03XlSE7rcu+ZEH+Mz087faaqLT7a4/cf9wepViv91eefHp31iXZGLdyV/cc+90wUjcBaQeAploNQ3u3HmbbWOYlM5mN92zijhGzcvvuXPLHXdYKVgJSCoqjW7DzIm5RLPOTNz4NW95Xa0P1IPVXz3n0lXLiibXHJdBHoFPN75iqx3Xee8/HHXGJz8mw/zgtTdMz3nybnvvS14j8i13L33Nm96woDN923W/+MSJX1i6yi371H23rFf1S8Lznv+qpStWr8rDK39wwYRNhTRV9ybvQ5jmknWmaO5FnHpI4hJGAgqtyevkzqGTCVJYxjRo8JFPvEdKKqri9NPPyurf/8F5J5384W2327pTzTvisLcRoTt4aI+tNlw4d8P9/uLIQbVR4joO73neFgvXldjZYNubcl4KvOhZL77oxG9tUM2bv6C85c77GxCBxTKlATQsvW/pZptueMLf/cMBr3oFxfn77vf6erq+4uILFsk6W/DOD0MGABsFB6rOdClDUO2ZTXtRQoRxTqwkZrkpYMzTbEN2J6Lj3n7UueecOq+SiV553d33rWT+4nmXSFnEjhz59jcSz5x56ok/v3vxaqDxobsecdQ7phsxCSyBkMUoDP2hm25Zh2V+xTf95q4ViKTLCTM7bLuVSCy7c2+944EEUiJwJm4IqZ1Nptk5lUzuZOQZnuEgUE004GGDlY4BmppzAlbOTN/1kle+8qEV7suWVN6/7MeXrvB6haEmMWEgE5SgQZwcTIG5yuDMMDgFgWswi4pg0ZwzwwiiEE/wBjEZKyMUXsELOI88BkkNpKiUKmOAIQ6xUhANqmQa4GSg0ZzwmlcfzbLWK9FmL2PGjBkz5v82TxTxt4bWHwSAELe5CCJSVdWmm2565ZVXikgZYntllAB4Hs4wIwe99Z6bv/y1f/vcp08655wzf3vz9UWQs88++54771pyz4PfOeeruhJfPeer3/3WBYNB/ZMr/v29f/Neq7FyxfTqfrN0df+LX/ziD39wITkCwzSV5aQ1Aan83Mlnn/bZM+v+1M+vuOLIQw+9f8nidTZY76WveeM73nb8/ND93Olnu7dzuBBIe8asBIElO5YsW7bZlputu0AqUaYapOAocTJQ3Hevve6/5+47b7n7DQcde9KH/nEywCk1OnP658/c7bl7JMfWm29x3523L31wWd1vYkfc8yA3bRlUAXAAjMk1N6MGN2NIkYeDABAwNQ2EiJwDjdxIsmUzu/HWG++99966nm6a5rOf/ewtt9wyGAw++MEPXn311cPh8Lrrr121YuVRh/71iSd9atlg+QUXfbVpVhPky1/83re+cdHSmXT5j77/7ne/3S0vX7ZqeqZ5ZNXMF77wbz+89BJ2uFmQACI0zbrrrnvnnXd+8pPv/va3v9w0w0sv+U7Z6Tx3n72XLF+27XbbpJTU0TTIGWWM9WCYkQMHiOSULGuv1zMYAAkh52ztLDNls1wP6l/+7FerV6346pfPveSH31+yuv7Gd783MxgOB8v6U6suv/yHW2217W2/+c3tt9522smnLF+6bNGiRRKBdooIDAICb7LVlitXLjnk4IPdPQYghH/+wAc+87mzUkqrV6/edNONmaA6K3qIRiJp9sOJtBP6aNd22/ozCDGDzZxCB+ZpeurnV//sne86fu4c3HXDTV/4/Fd+fcvdDZVBoqYkBmQ3qI1aOAEyoGZYAAiBEIlktG5LBswGnoiBdHSNCzwC1eO6EB00isejtct4zCCH0/9p4GNc/BszZsyYPwaecOIvzLpTMLOIEGBZYbrffvt9+9vf7s/M1HVdxcJULWVyNJqlLFb3p175mpcVVXrPe46Z7Lk1M6XI3//de0Gy3sJ177jxlrS6f9onTt31qU/novespz0zKvci5s1b59WvfxNC58Uv/ovjDj+8IjBq5uBgcGym/etfPv/JT31qIDz9yVvvuvMuiHTXw4vP/dYXTzr55Kbpn3Dkm4VgOQUuHEhmKGD11Dn/dlZvznqLNtnkTQe9IRC0XgEfmNWNcrIq1xIlvOXNhzx11z3/9WOfX9hBQG2ol0wtnbvhwq133L4qq8lO587bb3jpgXstWFBedtlFYAmxuOyyH8ydu9G8ap299nwOUhK3KOzAAIBUGOZuKHrCMBQ9gNmJCe4ONQ8cCo7nn3/+X7zspUEYZB/44D898MADnar7gQ98aKI3h8h/+tMr58ztTvQ2eea+BwIz04MHAzXR44kfO2unp+8+vxf33G0n9mGH47y56//lG16LiBe9eP8jDz88EFRVTREiikhlSRL6M8M1C6euiiK6Jo5UMEVCVbT5eXmy12sdGeEWYgQwMzND5mYGdwnBVAA0NmShiOJvjn0Hkm67zea/+NW/X/bjK3Z79l4kQQjv/pu/vuHa6wZ9nZjs/viKKyaKatniJQvWXQBBUoS2OzRnFwYBLOJgRwLgeMUrXrHXXs879bTTRMACc4iwjwZHHj87QlACQA5nAD6SWiGiZCrhQCzixERdz6xavfSggw//m+Pe/tOrfnX19b+pAYd3Q4ABFNuq2qjajYFhhpFEMXL+AQAGERigRJgtxTGB2BFGot9nx5gBhjPQRhvOijxvJaA7OWgUMLL2YyFa8++YMWPGjPnj4Yki/tacgdydAJCNzl8MEck59zrlU5+yyx133EEOuJIpXCMR9+bPNOh25rKxeV2HaS0bZbWcJ2IHOWUdYoKHnEIn3nX/Yrc0M9M//cQTWw+X6QYQmAbAkBtmAaTJSIqi2xFhb7vnEiRQWVUJCEWpqpGQa4MZh+jmDBbhlJrupB30xtcOZ1Zr9u9//6Ibb7mx7IZhqpk77FXB81QjhLfeYdunPW337bfbtijMbRBBX/7yl3fd9RmaACeJBKqvu/Xq6WbV2ed+8eJLr2CqDjzgBVOPPLB6uPzKq36GUALgturjABUI3YoKNANLMELjbfJbK1RUzRxUlqUQqzYhcKobgHO2pk4hBBFxpIeXPrB0+Wo4ctPvdcqSow7RKec9cP/yFcN+vz/1qY99DAqWXt20QqMpATNUMbq75uzqMGeOIrETO6O6VSFwp07Mkpv+TKtAmFGEUA/6DHM3a5rWAc/VAgdmBklWC1IA7BJqTYElUoS5EHU6pVRBCcOmYWcd5jkTc7bZertf/vzqjTdYVDgvX7oslsWg7W4khmooRAUIDIDRehAC7k/aceeUBptvvmWnM+fHP77KDNkyQP5oWQ4YuY7bSKqCRmpq9A2yZaEAA7J53RSd7t+9530HH/Sar11+aex0d3vK09F4CXLLcBjDwQwma29WHUqwx2gzMqfRHAmP7jcApSOO1mcJYDjBCSAlKGGUIkcghoMV3C5aEzmTg0bmoo+W99ZWfuOy35gxY8b8kfBEEX9rcDMiAqjVf5aSampPUS95yUs++YmPV2WcmJh46MEHm8Hwhhuu/7t3fdB5sh4E5KhOLqgpZ2ZHUQ8dLLfed/sOu+8i65ZPeuYO115zlVqKlCv2lGBxGCdhCQWjgAQp0ACGQGCB+vQ2O27265/+Aoprbr3tFzf8ulMV0VwyxVgmR6gYTGgy+Wg3xbKo8woJ8OTUeD2YjlVctOkW37vgUqCkHD972jlbb7OzUqi9ccpVwFBr4Tgz07/nlrv2f/bzuiHCg6tTIVLGBNp+510dE/BSh02nADs0G5ILxyjOjpKgmaBlM9SSuFtiakaNkM3VLBCChMDSpLTT9rt85Stfdfd+v/+BD7x/m222UvVudwJg88zCc+ZP3HrHTffedWd/4Ie++ShOYU6JnXfZ4errfgYbMqiHjtUwQ9GFDhKAkQ8xnEXATJEVlNW22fpJt9x0axTkBJiBKeW6tnr+5ISbAXDFYGa6FC4QhJxDUFUBFUWRLTdNdndmBqxOiSkGKaqqmBlOgXlqdV+TbbHJJl/60tndslDFKSefudmmW81fZ970ypVi2HPPPU//1KmbbbIpA1FgphCu61o1qxnKTtPk2XjfNiZHDjzwwG9961s33HAdCyJzG9zr/qg2IiIihweyAMTZshzgYDQdDmgNnENEKJ+26zNf9aqX7P6sZ+UKH/3kR5653ZYbRmptHlP0ITkQ2WI7t0FgQuletN8CBmQfpfUEgjAEBjNkh4Ns9GvJUTvByXmtJV3ytcuV1m7hrMhbI+9GGSePm1xZiyfcO8+YMWPG/PHwBHoLbs9PLILZjivNmWMUEWIHsN566+2zzz5LlizpFPGlL3rhBovWe9txx7z7ve+LmFDrIPZiqEhhfe3Guc6T+77kDdJd+Mxn7/H37/u7UMnf/8v7X3bIGzpFUUp59llnhAIqQ6PEAaZQgypAAQphhJC4shPPOPG9f/2uqtvd84C9v/adb3SlmENVkWBmDUOptSSGMDnQ5AyYYebss75UFXOrTvmUJ++8xZZbv/RFr6vrTiFzJzqTxx5zzCabbA5UxkQxNwqSToZc+aOf7vKkHToxQgHzG2+5k6TiWJXVnHvuWrzfPi9MQ//Rj66sJjoTcc6LX/xShLIxPvf0T287Z3JBnNxvv/2BSuLE2445fkGvt8mG677lsMMNAVxmHTq0aXIZe895zj7bbbtjtzt/wbz5H/rQhzbbdNMYYzNsFz+h2nQ6nTPPPmXnpz91u+2fcvZZXyu59Bof+NB733DwG3qTC6o48YVzzp3bQZOmMkE6UcHuFgMJKKXMLAawgEj22GOvD37wQ1XZ2X///XNuPn7Sx+cunPfzG36+0dzJtx97DAjbP2nbZz/rmV/+zGcneuHiiy9eumTJpptu+sq/ePkJbzt+wYKFt912GxExMeBl7AYUlvDIyuW9BR2QVRNzCyp33Xabf3jX26tARbngqU/d/Xn7HbBoo/W++9WvzZ2YnJycc+2112631ZaR4AALgSmWhRB9/+KL53V6Z57zhR233+7lL3pFNv/oxz7R6XQ6ne5HPvKRY445SjU51EGt8nP3UfFvdFDSmpXW9n+mmpGa1AeMGJaNQrlwnQ1e/ZevmzdnfuzOe8ZuuzzvWbv0spN6A1K4gMTbTzjtymwU75EJpF1WToAbYAjWZra1o7qzq7/tdgAwsBGA1hkGBCaM9Ci89ZvBbIciiNaYGrbS9g/JvjU8gd58xowZM+aPiidQtm9LTnWI0ZpkhBCjNcoSYQ4hMJqcSD1K60KSLYSINGyGnaICkiPnnGPotSZ9w6Yui3LQpKIoCTAdBiE0RkXM5v2hzemUyA5RMDIY4JDbVVRVTsxD8iHyogZIEclsLjllhZMWsQbM624ypmgUskAIApvGwx3MFysBKKBwYSIog1JtsQhOABqCwUpkSgI43nHCkR96/3sn5s4HiiZBitAu5wZksyxUweAOYmSCONxTZkvEjhiASgFPEG/Ia8DVutIhIBsKTuYkFDQPpS1OGRMKdYiQu+ZsMUYAbjVxcu26DQlMoRpZSnuCJkiZWRIgCUUCHOig5mHQKCMfkVyrRikZUKuZa0Zw7RIBnIDarSAUfUbUHJUgnAUZnqyZ5AIGc80MpxBAAjRNE4uCkGAxK4ggIQFDGNQrldhPWkSUcJgKx6ZpiqIYKgfPQYBkiMVAIQE5zZQxMOKsO2SCm0tnRtGTvjsRlQAPG0gAccNgc2ZnYidfS/mRUiqwJuwEAClQExKBgY7nYA6JNZCBwnNsQg5IZEoojIsEBIAM7ADBORGcvIACBGMwDYF2yTY6SKx9PSvIMrGCGSRwakuAgJGJZ4ITAiDeLlA73MxHdwO2AJCTO+U1oUHu3s6EtHO+j5OA40bAMWPGjPkv8D+V7fuEi3cLMcKdi8hAk1MRS6QMMMwzXEIUdjQNYmRyQ3bPVVFlMyYh1Sg9qCAHEKrYyQkVl2yw5LGo3J1ItTYpi6qL7AiBYMndEomgSK5RDUVJICCAOhDAYUDFjNQABDNyMDkTUREAhkII5GiawUQ5OawZBZIhCAoQDKlhjTWVlEHBBF6AkiNZ5NgEME488STn2ilnqBS9lFAGaAYEwpKamRC7bfeZqxkzKDIZI5EPozJQwEMyhXgBczHzBI9MMDRMpaqKVO2SYruqToBqAlmMUdVFiIgBJmHiEuTucAO1i4hcAqIZRYDEDCewqMG5EIGZtUWvKBFA9jZQxACmNVUoApgdYHiUtpfOYeqMDhfehrIwC4m1FsmOGAszCAsMQeAOAwjBGADBfG4UACnXMYgDoSjNvCQQB7OaRTSjEzCTUoiFAymnQkpodlMqorl1hAFxgpkKc1EAgMOanIJ0AMDJaTQ461C4rulNtXaaxpUJBAFiqhEjBNDsEoJmFYmlcjbnKLUrA8HBGa2ZduYGAIECRsEtTIC1xUB2Isz6+YEaR3awIwAEC7TG7I8yyMkITkYgdkcmB1kwCsaZoaAMjwBZ2/C4ZsHXxyJvzJgxY/4Y+dMu4/2neJxRrwMSokMRA0I7pMnJGrAjRrjnnBnouyeIuoAKCj1LBiMEuAIZgUbPIAtBQYkgTOQ0OnECBlDHEduzKYuhEMCdeZiDo2zgLGCFOCgGtYQYmRDMyDQjJ+TWUI0JsaigVeA4qBEErlmTAQglsbii79YAgCIPlZhV08iXgwunYghVqPuwiiAgBIDIACli9iFRYjQcePQnQAEuCSKM5BBykuQ1ITM8krADGQAM2s4uNEN1ZbgAYEBEzNShzG0em7gFB4xgbkQ2qxQAJhCKAHaHefu0koBAcGVyopF3XGt942umYFvjESJAMjQZwlqfi4Q4gEeflNrJ09EYwwgiwBkyGmEgREN0MKAFe3t/MZQAACMQMdNod0eQCMEMZWznZz2EAHewUIzeVrxa/QNiZlOww00FWgUma4el4a4gd2JVZWKgBtWOxj0BxsQpqaNwLWNsJ3lbG2aSEFJOUASuMiJIyE0UbHCHcYbVAU5ORu4Mh2YdQgMhgoUJTMassBpAk9UgAmYPMMoJbWeswDU1REzE2aBQQoZmtFoeIecGZCAMs6VZ02wARMTMj/X2a59zWnv66n/hhT5mzJgxY/4PPIHEX0s75evuilHtyc1g1hY3AgczgyrIizI6jLnbN1IJQ9AwExcdRMpWU+keXEkRcj1chZAQDAWaNOACQNLaNMMJpnAvHIVbFmaQK9MQkABYZqYmeWzX3hxWBhekpIGkJCF3BjMh1Z7VG5grBUEnohnkKEEi9weNU5N1pkSUHGBwRuhENxTcSToFhoOgZYXJCp1A5HmmrqeMUgPU4AwEhuUZIDWqDmeYa8Ntr38yBMq1FUwlyaCeEURTYkOUdrOdmXJGUUZiHvWEEcyzCJlpe4onZqKirQ6OZh3WOImQgvJoIhWhdTkBKaP+A7uR21GQta8htBG/s9DoH37sIuPaRzzN5vw6WZvnIrN63pEf3bpZ1QgAcLjCfHZuHO6+ZlPW+KKQM7lhrdXO1jxF2ACv86B9xpzAxFmzmcUQ1ROCgbP5UIiIPGuOsRr0G1PA23zmdj5dzZglgs0V0QMPKWYiRo6oBQk5cqDsgkCggc4YGRHBxFJbVRwyBqAhAmflEOeRV66RMjOTBAzywCkzchHFG21qSICDk9cI7SEFTVqEYFYP675Erh99sKOl3jVC8PeWAMd1wTFjxoz5f8ITTvwxMbV5CiAHj/qtCMTcaEqaiMi1gTvUcs6e4UYDoAY4kNYN8jCEesArBzRsJANadiKQa6tnoFR0LPc9PzLsL33Nqw8a1IDAWyMNFh/O7PSkJ735iKNm2sBamxKHwq+77c63HH1ccjC41hSiNKlxh4DYNNVNLAlCicg4g2Hq3U6AITVe9oqMYRDyAfZ51oHTK9BkA2WCo4FXRUPmDjZCTWgEHo0lVEWCG5FARvUwjsiiEDNzGwZkAoGK2gSMEBmWLDcT5SSjFKKlDz18yBsOWjkzxRSSZYlQU80ZjtS4KYjouuuu6/V6nU55xx13aYJmAGpwgN1mHaIJQHZkgqKdK0V7YBohY7bFgWbVHo/c5drKn4FsVuONnElGzsgY3QytkYF41Jm4VSOtlZ05Mtjar0zFwWCHKHmGKxxOUB6NQrQOfaNkZphAyAWQ1lKFYERt3B8BBnN6VDQCcLdsg5mp6Y022rQo5px22mczrNVGnzzlU6ecckrOCfCsKenANAeRbLnTnWifKIlwz2opSIeYDcg8cBrCUIToRDUwAIxcKCBR+6TmlAIX6jAmwClIY9k9ESnqIRqVWNZtj2AyZsCRtCliMAzrZgA4hbIo0CgUzsR5OHzGzrvfceuSEMShy5Yv3Xrbbcqyd9gxx7n9R3purPbGjBkz5o+BJ5z4m4Xbx07tGi0AIEqMEol8+dJlm62/KIZystd751Hv6Ak++uH3/eLnVzJcAp/2iX/59Kkf2f+AvRKG7cLgYW857OKLL3IWg2RnDkIhW36kLHK7RpeRFYk9azO88ebrTj79NBUoErihYQqBV1ueJndiT6kUqS1zURAzOVFqYgwgDNQMQdhynqZYq+esiIGgKcBVnXgC1vMaZcGug1bu1CgVzARmo0CQ4BYSVUOPhIJTLpCjN5qGH/34p7izaLIz70X7H2CDGRBy9pnGQiWWAAOaXITCGiMFMpiCu3Z787JnYgeySJbojhxLcsCNdt5559WrVx966KHuLgHCcDiDiKR1DXZSpzbceLRePLtnjEGC0tGKdUEruGYXD0eH7qh/zx1oHfLIZxfc16i92QKUz/7CY8IpKClBR54lGa4whke4OEyRHBkmMIFDoYrZcdfZTSAQOZERt3MTBDiNipejIVliULsFBHNLdT3ca6+9Na8++ui3qDqxMPHMzEyn0wmhm7O54WlPeWpZdMuqOPnUk5atXHbQoW9dtaox0xWrFh980EG/+OW1oVznuhvvFU/f//63Tz/lX3993Q3cnV/NmTtngo859KCYw1//9d+vHmYw0PcX7P7CmVVNBq96ZMkGGy266udXB65Q509/8lNl1eNizuR6GyyfWnXLrf9+4PN3tzSMRfGaN735tM+cU8WArIcffNDhh51AjAR1gJm73a4rNDkB8+fPv/Pue6/69TU5BgCzjx34wzW/MWPGjBnz/5AnnPhzg9kaowofzSS6q2prpas5FyG+YN99Z1Y9kuqaMLzrlus2nVfa8geCDZBmBnnmabvu+K63Hf25U07jVFx7zW+SV3s+9wUBRXQIo64TvCakKPkj//LeouB99nuGok55sOfuuxZx8tOf+awDZISZmeOPPKJbdvd9zrNzUTAhSNCUiGXgqmBL6YeXXlaKENExxx3rwOoH73vLIW/64Cc+GIq4/vobzizvS2ouvvi8qrMuVRO3/+bugoFhffRhh0Yu5s5f99bfLs2GUz710S99/pMbrtsJsfzwJz7XAIOGGShJMOhD0yUXX/yb+xYvnlnZDFae961vhxh2e/qut911T2bOwJ577X3/b+98/3v//inb7nz8Eccd9qYjXrr/X1qy2vKHP/yvnar7nL2fPdSZQVr1rx//p7KKzPLZz55lhiBFEQsiMrPUOAjurbccERkoj+p2HsmKdjYClEA1oEAgjyCarfyNwiXWSInZjFiFM3kgZ5lVdfZo0Bi7kzsRCa3FWv2fafbmADgoj4zrHAQjNK3pyezNJYeu5V2HtrkQs9eMXk4jQxRjOINHctQBAxEXgYNQGauVK2AGZlbX9pA0d3UOoXP00Ud/7CP/qml65cqHjz/2uKnp6UE9rHqRg2maNs8EOfaYv7755juJQDaTyjrNLV962KGLV68crl4xqfmKC78PKWuhrJBcdJpu4ZVD//3qn579hXMvvPiyDMp1mii7t956+yPD1e9+37u/+LUzli69bdEGnVtvu+HeB5c9c/cXDIYVnFcsWbLv8/aZnJxYsnzoCBlw9+FgALMYyVxjKLN5A9Q+ssx0I3f/Xdk3bvIbM2bMmD8GnnDir23Dx+yqoYzW/0hEDCbMwqKq5Ci6vf70zC9v+vW6683BzLIFpcAVVZCJcuXMqhe/4IB7b7jrrhvuO+KId33goydzVUG9ymBFWVZZG7D88AeX7/WMZ+Zm+cteeuDlV14Bkp//+pffv/CLqR4UADScc8oZOz71yVNN/7yf/bzgqm4UaoGJ4JEkuz+8cuU5X/r8TH+luw77gx/86Apv/Ec/umL7HXaaSfo3f/u31/zyF7fdfMNJH//4VH9pPZjebpttxHD5+Re+6bWvT9a//Tc3v//9/2KE1dNLPv+lU+9ffPv9D95z7Y3XzwzRKWFJAYFHDPOWW21+9r+d3Siio9OdsKT/+MEPX/iDyxvguhtuP+iNr+90el/+0je/9dVv/ezyn/7Vq16/YvHy6cHw0p/8dNen7zGo7VWveuXlV1z8m99e/9s7b2yaqZSHp5xyyl133QNQVk0phSCxHXH2MBtna4bW5iSSUau3nCzDDeqz4SK2dmRYWzyb9RAZLfuOdiaRt3uWndjATrz24e2P+crWuqw1BUIAc+bWJgXBENf0FbZ9f+0NUDuzArTeJ2SY9dQTb6e3R3/GayVejMLaXAEn8pTSxATcwLP2eO9593sOOeQQJ86uO++443e+/W1Q6FYTg5xD2eVQkVBdr47Ro1jK9aabb/7jf//p8KElzJwjr7Q6F3GYveCK1EzrrMPWKJqBpt+kfh+oH3jgwb323md1f7BixYrQ66RmkE2V0ZBvse2WU1NL93/BXjfceN3td9y9y9OewaFCo9f+8le7PX3X5+6z17XXX9cACZCy8/Nf/nTrrTfISYkYCCEEigElP07vrRn4ePTpX2v447/AWD6OGTNmzH+fJ574m01SIFB7GY01OpN5GLWO4cc/uqITy/lzF7zxLYfOX7huIk3IOTUKnkkpdipIPOLwY5+867P+6X3/snCdLgPMDdjYAdQhdJokB+z7suc994UY6NZbPOmWW+6BTEApNYNOpJShGQ/cv+wv3/KmARASonKnEAhDyCyzQ0h++surn7rHM0InQvM73vb2e+64E1Lt9Zx9X3rgywn8rnce9+y9d7/jntve9Z53RLIiQjBUy9/87nnPe8GrerG7+SYb3v/wvYM8U80J7/ibEzjKovXW+eI5J83pQJAlujaK2EE5d7vtd7zjjuu323LT+cW6d994M5fVU56x+31LloWAn/zkyn33fX5ZVrs/a68tN9/ugL322/Ppz5pf9YaD9Nz9D9jz2XsbsMXWW9x86/WX/vCC17zuZXWeEqEPfehDd/727pzBFMqyrJsBgJxrmi3dtTZyjgisOQzdIYTCUMJltrCGxxylvmZMAyMZv2ZlkdaM9LYNnSORSTQyJ55dMba1/wgUBR5a+zoKDYoGZDxyrWGPggABApwc4AA4KM0Goq05hJyISLh1mGHo7KrvaIy4XVUG4ArPrsrMg0HrL2NCkrKaWxEKwIT8+Lcf/+IDDyileu4++5ZhQjWaheHQiqIwayS4WVI0bz70oPO+d0G/NuXIIVz4b+dsvv5GXM7d8Rm77fPS/aZWPLDB5JyJYs7ChRvdc99dodCZqWWxnIyF7LXPc3917c9t5mFCf/udtl+3WlD01nv+c15SxMlF6268bOkjv7jm5+sumnxk9X1QXrp4ySYbb7jrM5529a9+qUBEaU0CQCWYoaoOqhsMNenoucWoq3ZW6v2+EuCaL34//8FL+P/P74wZM2bMmP+AJ5z4W/u08+gX7gCEBUBrs7f33nsPZqaaZrh85cwFV1w6w8hVIVXXICxFyjDQ1jvu/Ixd93zKU7YnB3liykCfCYBmqEivngE0gHqRuqBenQmxzPXQNBUBgfDvP/vFDKkBc6sJGmZXKLkCTCQKd1jgJHA4mAuWVGdIz1R0aJQdDmO7457fGFIhkqdWsw+JtexN3HLr9TNT04Nhff5FX4+Rhs0gxNmZ1OQRybBKUXNH4IBHuG+87rzli29Z8cjSN7zu9Xf+9q6Jeeso8NDDU255m623rOvaEExJHFBl01gWM3WuykiAQ0OEc1ZvQqCsqSxLVQsh5JxVNUowVRFa03DnTuZB1xT2OINH4x0EgQvIQdnWtPk9plEPs79Jj64Dr1nzxayB3azIW2ut+DEQEZwIxqMZZDZwHi30thMc0nr0gABqjY5HMRhKj96ZAtbmZPio0KcYGclgTbFqtG7N7TZp9rKEOxjcWIpB3ClbzkiAqg5f9LKX1ak+6RMn77ffi+rGictYMBHD8sz0qk43VlWx1bYbX/WraxqTXCP3h69+85vvXfzQ6uHw0OOO6/eXL1p3zmDZsv7U6mWLH9h8u81rnf73n/zoyCOOKav5b3r1K7/29S9yZZ0ebrzpmsuuv/Gaa24barzlpnt7nYWbbrp5p1vMWRCGumTVIyve8573LFy47oYbLfrwP//zdH+Q4FwUCEADFokS3CERZVnWlv1RX53fX+T7HxRtYwk4ZsyYMf81nkDir5UBmbNxNjYla2114TbropEJBneDKwwhGPzhSerHaoetdvj6OWcRkKaLL33+lo02OaCfS9jqOc1g/RrlEBUZYNBOBuBVcPO8vJjnNQPSOe+7F7zk+U+f4yuR6m5Ypwzr5wQRPGn7jW644rYi4yUv+YsGJgzRAgMOBISZSEufvF73J9/8piFMQT5++hnbb7UNxUH27CFoQMPGlWy5yTbf/erFw0wnf+HcX9/z2yHXT9p63csu+ho6ngO7IWvsdDopK6gyi1RQRmSsAy8oD8HT0KXIKtZh7QHYfv8DH+zEOTG9cqsNrjjtlO2ftPOygpu5pfPAlL1cCJTBhhPN0vlYrrwyZVxx8V0vePZBG2+w2de/8TX3CWjnhOPft8M2myEtLWzQyTFYlyBGwV0Nqm4AonsJCFphFIAoQGhNXEYpF1y0kRVYI57WGuYACKEVZGt+RETtjYS1nGDo0T/C7ETJ7IUCRvYuTEAFzAFKAAEoAsKoJgiA0LoGxgDutL/TTv1SEARZYzrICEABAAHcUfP2LiCjh5qsNIoIw2zGgIAr7pAikAQUldfIMxzi0DlLsc6GG663/oL1up0l19288tp7MMCvrr6pt2i75cXCxQipxGteuvOF535qIUJH5k1xZ1UABNwPXdq4yeuuUEYB6PQcb8Bzv3zZDb99+NZmekWzZObeX92ZZ8KyoaDoPnmbDReEfP9dvy0XrNfZYKOXvPxlxx1y8Jx+nDc9/6c3Xf/Jc7/6kPqUN+993zuv//lPOiD4DHgKnTZkZoIRYH1Jg/k2Xxy1owYcxN4QayJqFKRGOk3UdwY5UQMYGtTeVk0bIidzUiKQkzmStuPXAKDmag0wDSjVmZIhEWWCElEGGgM8A7UjZwDI8NSK8jFjxowZ87s8gcRfC7Uxab8LE3FQdQBFUfzoyivLshOKzr033Pn8Z+31spe8XEI3UHfe/PXfcvBfbr7xep1QSdnpY3rIcCAZZw0IQgxTBfWYOhdccMGcOb1Q8K5Pf9oWm221/JHprTbe/OV/+brjjz5s0Tqb3n33PR/+2MkHH/yaBZNzzzjt45ttsl6d4NmljIRYJwCdbXZ+5lvfemygak6n96RttznwgOc2yZhCJ0SYEcxzfskrXjVs6omJdZp6cNBfvRFMb37r4aed+dmCJ8vYfcfh75wjoR7CMCfnSIA4RHNA49q4BNeIat75F34/xKIMNGf+gp2223KnTbcAwh7Pf+EZZ39hj113FUNd1x5j5rrfrNSYh0xc9X70wyvmFfPndrtbb7PJtttv96q/OGSbLXeNMtkp53761I9tuvkm3zv/+52JBSd/5tQn7bzN8/fbPw1nrXUea/O71sjEnxvC0s6ltGNGADGzu4cQioJFACBnMCNrBgAwhd6bDzmiW/Ui09Zbbf8Pf/+hufM6nzn7xJ1323GyO/81rz3iox/9SBVWFdyHYY99XnL9zfenuig1+szqSYEDELKsQZQ4QwyduLKeWbXi4U0WzJnXm4wCZ7z05a+48qf/PnfeOiklN7z5TW888ojDPKMqOgZnkbKKt9xyyyXfvnCv3XaPcIIeuN/zL/7eBW4GD+AKgALJLVFiicOc2rpwZBBQD2pIcLAbpC06SwFIUw9b0WymDDHKGYoCanBCNlNLEEVwAK6wDDgTMXJdIBMCQZgC3AHP2QCMltuBUWulE9wBe8K9u40ZM2bM/z+eWNm+7iOfDwJakz92b1vPzHJmiyESgEEDAgJpkBmELkBpmcQKmLAMYhDXGbU2XPoEBB7QZppSQiIEmSHKQBcWm0aLygzuKMQc2rc89M46NVBmiE2jCBnFACxAAQSDZjiDAgSmw76EAlJkggJZvecEhjKy5lLaadcaggwnTELbpesG1MAiqFRB0jpwYgqwAsosbRhuViPmKilAHlkdmWDU76Yw5IKaWu+66b4f/+jHhx/7Fo3QNjpMMwywAMBy5o5Dake3yZxUqxLQJBYIAjaQNdpwLAwuCLlBGVgpE826pFjbDUbuo0axx7JmmONPGIeppcARznAH11mnHlq8/J3v/Kezz/qyM4QsRibALIlYshy5hIla4hCSMxNYwZ6hAQwTTPmUSRLMFUivWQGZC+eZDKvQACVyD061gzgzM7OnRkKAW/YUxEA9OOAGn4bQUKsmRAYKwOtBEcVgTcplnICC1REI1CRBA2NI6c5oQ6AlM4DkGA6AX9x+30c/9W/nfewDsSjaHdrG+qlpYBnZqxMAbq9vx3oGPlNRTzUEWWP72DAUQEocYtm+PAHAhohkKNTJ3QtW5IxQKLhJuRParMCogLiTZxA7ydhmZsyYMX9OPJph9d/L9v3TPrP+p5htD+LZCchHfwJ3jlFCObL9iFGzIsRGtUhgg8Se5qAGYhA15kNGCEWlISFYvx62N51zm0VWNLW4BwdCIQDllGFwIpfAnS4jlyMH4ABvBIm0LSCakpFABKowZykngKIeqABwFxkNllrjpQAwbRrnqA6BGBJxOygb1MRQmAJAKZG9YisZzILBcNoBBTsEgGWNTMk9OzKQ0cQQppYu22qLbY/5m3ceevRbQOZNIqDWdpw1oQRKUKeNUpOcaxZ0SjGVwBVJgCgsgYVCp3E3WI1BKGYttWcNW2brf2u6AB9X/ftzODgdLmteZdQmfnBVVZf/8Iput3vuuedKwe3EEQvqNHDmOmVkEipMnckMxgJQMEZNSEBPJicwWWiWrAjzc2Zn9EoUiklHAVMMUQ49mBAbYxhFRaEpaAfEltKwVgg7lylxDLEAItxTUxYdKAuHoizR+lVXhIBsGkEVQgEhYjX3KNkRHCHpzJJl22y46b7PeGYnsAjBMqsCMFBKHpjgyeDZuO2uFNEaQ4UBoaBg0LYCmjIAuGVYAhCiDJIpo0mwxsABTcNOTBAmd4JwaoYAitZf8HGdnWN/wTFjxoz5A4T/1xvwf5u1TwijPnwnwE29tiYUZTblrNLtaLtexSCCaXBmYrhl8gRmBSe3jgRY6kYCzI1DKWAAUpSVquWEohAgxEBEUM/OZE7BAfcQODkVXrhxJdGAjOSuwcsAFkE2MDSIlJXAwAyDmYsnCMNzIgZJ0brnGbJpJipJkJVDKAlkDQZeFxQLDjDAsnvudLvqyCaROTW5KoJlFQJLULiUAmDe3PXuuetOKmPOiZmEyR0cyBBIxDw3mjuhsDo5d1mMyVLyGEUz4JkFFCpTMCEwgARwo4kpitNsOC/WzIES/aFF3z95/cdwtIm36iwEIEhYsGDB4sUPuiEZANRNXRZlSk0Z4wCpihUyfGjU8cYHQtFREsEjADTWdFBEjZFgOjDrUIkEC8ilG6yAUAZqpII7mjGoQaUoXGIHNZCMYywLNOaRYywkIZM7XAsuYCAJ2WqlLCgC8wAW4BKDKpKqRHZXER6kQRk7biAu5s1ftOT+h/oUagquQ89OFEzZiYpI1jRcMIFIgDakjmsAjmCOQBEOhppTEZhhRAEQNyjDI/eBTgV2Rk4IRU7ugZKiEwWWYxEbT0ICetRjsT3C/tSXKcaMGTPmf48nypvjY6pKo6AtALMd5UQsFIoSABFxWUCViQFkygPP2dsylRGbEwghg4iEwIAQVPM0cwYhDR3AMPUNqawkZdSNE0nODZPXOmQSpuCZzM3I4BUjtpI0u0eOHJDVzMFsYFNLAMwcUIURQyKYlEIAB+IiJzAHgAupBCBDCEg55ZxZEEkMqA2ZkZkohroZkGnBbewHmwNg4UgOydmEjdgRY8EBMxQGQ86ZCZYkqxtlMIg7QXNezWXMBCfODmIFjEJChHKoM5jQdnNFRwERiU/AJiwfBRiPip7euos70awlijtCUWRtYgwGA5Jbg1xTYcweqTKLaG/CTd1KLqS93X7D1OGAYYMMVihChg1QO3mHMDGwPgV0SgQgW4ApOEOKnFQdYKo1AfCcAlHBAdYGX0M4ErkwmaFCJm1SUpcYihKKQETNoBtDk/IAyMKIhWWvyCs0wpFjiRBFyC05nGNp7g63PBqRIbihAeAOTpEtoEnMqj5UqBlBC6IygYfICm9gDjU3MAfWwAgRjRqYAYOuEXmzjkEYl/3GjBkz5j/iiXc2fiw0OwWq2QRwVyKCm+bW+5Yy2MliECZLqa9WO3L2OoA8extrAKYQpNEGjliSWqoir1ix5LWvfb2pl5FSNg5kyOS2/Q7bv/XwoykAxLDaHUb4+a9uOfSwoyOV2TNgEpzJzBt4LWLmyckInCyRZ2gNcTfLmUAUi8LdYZ5q7L37S1YtRxpYERCCK4FgaknZFUgMA5VFyQSvh3CwcHJQIDezpiHmBEyl1qYu/eu//ONPfnq5QhqABSAShyUwGNYE0aVL73/1a4/pN1BjiCisRl2jUUAEuYGQIyUCM0JryzFrybd2xsaj/Fk6d5hb++kCDgaZYeXKlRss2oR54qyz/o0IqhokfPzEj596+iklAjOZ912n3ZwQNLGqO03BVgfV6MipdkxRJ+g0HIih9Zku4AZ2hIItWC5KLoDVddNvZ58zBihXgFkKUQfBGQlIIUidkoENQdPId9tGGXZOdQo5l7FoDKv6GgIjJYBQ10UMmTEEBsQUC4aVPiBQSjSoM5DLoO6pNnMq4BpFs6I2c3gFcrMmA4lQA+pwI8LQEktEJqszgb954bcOfdshgIGcAp/3vfPmdCMz/eDyKxrXrApwDKU51l7EeNQgci2D8DFjxowZs4YnpPgbWXf4bIyXg5x51EHJ8OUPPrTdVluXRVFJOOyI42B04kkfvuji74bAzP6Jj37w7DM+eeC+z6XGiYEyvumQt1z4oytZKicMhyqMnKYGM9MiQkQpqwQyMDlXzjf86tenn3nqdEZWqzgaowbCRAdFaDS3q2AOAYw8BaLvfedbZVmGsnrrUUcKFyB1rx3JWCiEbICDKQlDVDgX6HsR2VPf0DiDUESOBRrGDKUBQ+BhODQuSnMDeSGmVhulE085WULVKbsHvPjFSgZNBUlqmrY9S5GhGYpgAKDOgGszE4gZgCBBpswNlQOETIbAaCMskDJ8FND7ONe9P3urNgKZzUoQdTALy7A/eO5zn9s004cc8lfuCMLJk7uKCGtMg8GTn7zz/HnrdmSyonkbr7vZ6qmVJ534icnu/HndYs5kOTOYplDtsv02664bOE7MX7DeXbfdxuY33nIPxXkUehMT6997611ifOInPjFnohdZXnjAfs6Db33nHJKKizlVMXHmmadHNP/6kfeVRdmbmOzMWWe6ThxBhGQeEBwK1pt+8xvpzSGWyW7v3e98h6lf8v2Lu+WcTm8yiJx2+qcIedcddjz7tDOQ8splSw96zau/c+FF3TnzOMRe2Tnj06eq8L2LH9pk0YKJEGLFc9ddb8WKmaMOPfyEY46DAA2ev/tzoNRkffORR0x2JojjcW87jotA8G4sKykdbqbE9uIX7bd6+s5PnPj+pHURIkhy2yfYCj73kbMirVXbHzNmzJgxv8MTRfw9Gur6mGiv2bOyg8hdU2tYbKl59rOeOZyeUm16tPCeO+70vHrunDKlBPciph232/idRx/5hTPPUsPV11/bVJ1nPffAqaREKDsCrwP53MlJcv7Iv3yo1w3P22/vJms9SM962tPnTc495YwzrQScMWgOPuxN3V7xzF13ygwiYSOYtLI0stx6/XWnnHzyzHCwqj8YNHr55T/uL33ojW983Qf+5Z9DWXbnrb9qZUOUv3feV8tyTmeid/vNv+0wYdgcfcQhIUyUvcnbf7vSnU766D987eyTnrTxwi6F0087J8eyYapdGUo+RJ6+6OLzbrnn7mXJpwb9yy85/+Gl92+84aJ//MePHvj8V6/bm/P8A5+nqhd/55sTJXWqSsruTMYnPv7JrTbd+Xtf/fKcaqLTm7zoRz+97rZ7j3rnuwCoTh1/zFvv++1vkOsjDzm07MwjLi79wY9tzbrnaGmOmHmN7cujqRt/XgQJAOAAE8wAlGXJgn4/AXB3dRUSVVVVUDd2etfedMPK5cPn7nrAqvseeeThexbMmwxS3nHr1f2ZOz7wwbd/7vNfnGnitTf/6pvf/fgHTjnnkRVLdthmnTtvueYZz9rn/lV5Smemp5dsu9nGp37sjDtufWi6PzOoV116yXmRLZblx84885GZ1YM8/ZaD/4p8OHdCbrn12qlBfvc/fOCsfzsXAp810DYApEuFXn/UoQPt96dW5MHUjy7/wUDto6eeuDLZUPXthx/Wq5sDn767LpuGItdDgdXGHzn97MFg0F9+34knffT7P/7JvPUWPvDAnR/90AnnXfCd5Y8s65ULF1bzttxwk9UzBoWBVw3qQ446bsddnj5d26rh8JOfPhmEAA9DkyGTCxEByjYArzRMSYXplAAOUo3CU0Z6T9dsexvt8v9ml48ZM2bMHzdP3DdHe/R/A8xVowR39VT3Op2qKJEyVH/9y1s22mADomGuV5exYAqaGk/1/vs//ze33nbjdbcdfvSxHzv51GnXIsacLZmDMnwIsx/84AfP2WPPZjhzwIEvuOSyH3aqiauvuup73/ySE2YaSMDnTvnUzk/becWgvuy6Xw41RSZNECYCsjaAXXXFFX9zwgkxSCzC2//6HV/98tfrQf2zn/37Drs8ebrWD3zww//+85/ceOMvTz/946tW/3Y4tXq7rbepBFddfPEbX/2XlqfvvuuBd7/77y1rt+RvfvHzd99+xwP3PfjDH13R5DyEiYiawjyEuOHGG3z+S+cuW72yB5Bhw0Xr3/fgfR94399dcekF0zP9yy66BK4H/MVLpof1MA/P/ebXz/i3z7/9He9a8uCNB7/qlVPLVwxnpp733D0cYfXMTD/3CyFYDat/+P2Lnvr0XetcJ9fn7POc0TjnY6t9f5aCbw2zj3PthLqR93CnE0OAMAlFB73rnX971JHH6AAASyxg4tPcyUwC90FZhcFMH0yAbbvDzojgkIfDu7QsG+sjDC74zte+8pWvdCcBBvnQh823vnHB+z/4cZZOKRVqAGWTtZ+NI8xQBganwDocDrJDit62O+1YG+qkwuIOgeTc9B0qAmJhS/XQXZtcc1W2TXXsZoPBOt3JrTbZ4scX/SCE0Ktkpm6GFsAViD954klf/ubXnQ06U4U0MdGbSSANpZV77f6sL3/tC2gQi+79jyxb1R8ce+QxycBRakLtjbi/9sUvP/tTp4mzUwAUAuhKs+lBMwwxEkvr4ywYxTuDjJEBwxo7oTFjxowZ8zs8Ad8fzdd0tq8FEZtnN6MYLeslF180OXd+VXRe/5Y3xk4BUk0DJq3rXHQWGlUoy7cde/Qzd3vmR/7pY91QTpI0qiEwEcEUMTSpv/feez/nOXtB4vbbb3/PPXflYR9lqU1KiqJAPdSH7rv7rw56y4wl5wpcZEOMjOxqGoVhaeWKJVUnJs+DnNdZuN5mm27BXOzz3P0OOPDFtdmxxxyy/wHP++0dN7/zXW+rqoIiYsE540vnfuHFB74h8sSmizZetvT+uplqTI9717tRTs5ftN5Xvnz2nA4XGDAapsKtdC123GHnO267ZY9dd5yQde6788FhzhS4KngwtTqijJDC0V+8eKuNNpGi+4bXvd4DN3mYTNmsV0ZJEEMpTSFNL3QMMRQ9Z9rxydt/+MMfPuyII4YKFXj4g119a0vAP6fw1rarYPTNmiA616ZphsNM1qZXaM7t1AJJheyakd2zqJICw4Yw7NfLnvzU53bCVr3uZvs8bx8jmA0ne3MyNcSMvj744OJtt9vkoSX3bbTR5Lxe99vfvXDjLbeoFnQvvvjiuXH9RRNbrHhweazoH97x1/OKhb1q4WmnfAqaB9NTT3nK7vMn5lOIz9xzNxLEUoB2NBdFLNaJ3S9/+jOdThVj55l77LnvfvvN6XaOPfSoiqkqi9M+dybPm7O0qfd50Ysu+eFlw+Hq4XCaAkkomyEgvU033XyqP9XYECGZDqenp8sIJiDJk3fe+aabf43VKaV8z4P3z1swl4DTTjxlspzc83n7ZQqWDAloTIEMy66oE6LFgqXgxq3J3k6KrzlSZqNc/pw/TowZM2bMf58noPgDfGQtMkqGbWUHE1OQEJBzNt1v//0HzbCu+w/X91/608sllDEIYDH2mtRLmGOm66y3zl67PvvZOz9zQlGi6Ym7ggmmDh/GgmOUpp2zdbHUSACQQohswQ0Ou+qnPxKfrLgQLcWL2O4NssgOZFDqdKJ5w7AQeMUjy+69916jYtCQaSiYHQhkv73jNiIyT+rN1HAlGOssWu/mW3+ZNA3q1Zde/u2q16tJtJj0ogeGGQR1RHJLlp04EFeRyg3nzX3oN7fPLF/+ptcdfNsd9wMgqjtVTOZkjLp579/+7ee+8JVV2j/rm9+C1TEISZXNhlMIhpgR8opSZhyq1lndJ0Ncf4NFd91z11GHHzvZnffpsz4//Ttybtbqhf48pN4f4tF4XxigDuv1OlECEZiJSMoQzRxgA4yyQ6lAUTiyIgbzVPXiNdddeeP111710xvadU0zDKcoeDYtUCzYcLNt7rrzN1utP++RB+58//s+sHDDDa//7c0r+ssOPHC/Rx5a/rQdduuUXePhh04+aflwWd0sO+rYY+FUVd0bb/zlT3/x81tuvSkGZG8nzQ2AqpqirJs3vPZ19SD1zQ898kgzINVnnvRhr4d13T/4rW99pG5yNeFVd8utt/jN7TcQW1XEZljHCHi4796Hnr3H7h0OIKqbXMVOTmCHE0B2wAH7XPOzayLCtltvtmL5faKD95xw7F13P7Dp5tsMMwgCUxFnRh8ZVKDsQHNd1xJKEEsgCNxHS9WPaeR4vJfnmDFjxox5lCfc++OaNiB+7LVwb3JyJ4RAIknVUjJQ6NWD3N9k022++pVveE5M4exzvr1osx0odjvzu65GfS8blEgBDRFyAscuEJqUzKyogpNccN4FB+y/n1OGaQaRecnolnG7nXe8+qpfosZrX/GXFYdmCKhD3GGAmtkLX/LSf3jfP5JDHCd+/GOvfPXLuZxgqZphgmkBkOdtt9n+q185j6lz6qdPveuB2+owXHejDc6/+Ae5TgGYVvQ9USwH9ZDIsyIUaMCOInIlwkhAk5iEPQhFBOy085NFekDYeOMN77rnboIEDmCpqmL9jTZpgK985SuRjEDdeevds/ieVrV1BOvPiz5cPRgOz7/g8q9948JagbIEZKcddrj2umuvveaXgdBm6/3OUq8B9jj99+exHGxgBwHsaz0ad08pmWczkIHM3SEczUCSgcyApTRTT6Nr0Bnmshl0VDtbbbdtUcqddy9nB3SirOZ1tRCIUeeFL3nVG179puGqacnm1KzKU3/xupf9wz+8VxxBEAso0ky/X7pGRj0AILDY6S4AePsdthXku++6NzcpCBMRg4Ujc2niRa+TQQRkgzMnHXIBcDZN4ujFng6ZGS9/+cs/fcbJSiSaJA/LgEeWrjjs8KOet+deAiBz6MwLUkWDA9yJLnjxCw749nfPW7bs4QWT3bnd8NnTP6l1LmNsaouBjRmeEai1B1RwM0zwspRu3dAwIysAEI++GD21gLbTz8Dv1PfHjBkzZgzwBBR/AJMzwAQZlQec4AQOEkonzlnBctnll3cnJ0PRufO2Gw543n6veOlrHGURFxJXRx59/BZb7zAE1chDmxZRCCQbg2EoAgBx73Ho/eSnV1Wdiars7bLLU7bdattHVq3eYuttXv36N7zzbcesN7Holptv+vsPf/iwQw7ecP4Gn/7EJ9ZfMJfFEQgGUyOPLBObb7P9X7zsNVXRmwjxqU/eZf99n7+6boylW3YiVJvVIH3hgX8Bn8NhAwR69UGv1CIf/a4TPnnamVWn26vmv+3tbweCNRQpgnIIagBQGrqDWmGGYGC98Fvf7lQTErq9ueUuT9l52y03Bqpn7b3fe/7+/b1q4vl7PR85vfiVL9vlaTuv21v0yhftzw5zYUy+8BX7z100Gav5P/rh5ZtuuAkSrb9gg+9+87zXvva1Bvredy/sdud2er3dn/G0E//lnysAs/p7rfGONdWaR5N//zyUX2tuY49Vfq3SzakuiuAOZhBRzg5w4MJhDDIHSSjmd7xoINkxQTa/11noVB95zOsPO+Sg4TR22Wn3l73ihHcdfsR6C9e74babNt1yqy+e9ZUN5m3ciYve8/73l/PwrhNO0IGW0pmzsHf19VcpYaKz3jsOf8uccnLu3LmfOvU0lPNWTWV4iGTHHf3WQ/7qjWWImJ1BIWfUWJUalKXBHSgD1JU75VuPfTfHiV6vd9bpn6ZBvaDq+QzmbbjRbs/e48EljxTk/3j8kSKTW++w0xVXXLXTllste3jZZlvucsLfnviCfQ/YaP0tpuvBapuuNQWXF7zqRUtXPMyWzz7j9M989syyW264aP2VDy/JQ3AAyrKpU4BUYLgWnS5qjmECXlYBJIAlEIqwxkdx1vDP/xyOnzFjxoz5X+KJle0LrAnGc2catVkZYMjIHkThJZjUoGoCExlg2AWJJpgjTMLYgcRI1I+gwjto0wqKbBnMEQFAAnLK0BSrKqi5CGHU6TVNREUxYcZAZq6RqlrBhbSpfAJLdY5FAcJw2K+qCCdogKAhGDIhpIRSEDkBNbJCenBxskxKKAhgGHn2zMRhIDDkEi7ITd0UsUNcDGstSyGH5iyBYdnUOZZqbpIZkR2qxiETCk0IAtg0LCFMKMcaKkhiMbhABvAOvJXQQ7i7VQwigpmr5xijQQEQJDUIcbTM7nCatc7Go2kff+JH11q0hUwb+Ro6WSto+8DM4ocfeccJ7zvnnC+zoG5yUQRmuIMoA569b2Ylzfc+HMoTMlCtWMhgzXLucIPJJoUJAfJQqbKYGSpetqMOkH4OqQGZFl2qOI+irFVmRAbmc1QLDnB18SEFVkNNBKKAaNljoJRTDCQWkDBdwqzpsDBEFYUkxxQZJSspFI4cNaAJMHgxtLhMdB1wxww5ewjk7S71LOTQUQ6Hec2SzJi5iyFAQJwyaohKw0RWtGlvBEBd1sR1SJ3T6uBLTvzU1zZ8+kt23+OZCwWdPCRml8IAQQbcIdq6UgKzacJjxowZ82fCONv3v8ljzwnuROIgG1ncOoKASOETiKIOCqDSlNvzqBAE0iBnDBENQkDkEKEAcpNzthBCp6oCCEB2V8tOJKHoZDf3mjkxQxEQmlKayAC0yf1sKYTCG2iDquyqBrfgBlPk3DgsATEiMKAJ1gAEDzmRmgBiyAlaW3ZiCgxD1GEX3GRPKKWccAJyXQUhgylUZEg8lMKLElCxPI1aYWggwgMvFAitPAtikeG1WFN4IgRiQQZQG2plKCFpQdSRVt25s1CIMTscRFAyFLMNlr9nf/xZlPp+l98ZLGoHUXHllVfGojr99LPKMjAjZ7iDwOQcqRu5CzYrwF1pDCwCAky5nAMExlQVZ3J2WCWxDqhVawAYOAAEqeGE0GFue0fNYQEiHSAy3K1pN0WdgSgcAyEA8FQGckUIDMCSglAquh4DTAB2A5QgoBhDBbDBVdwEFmCxSBB4gDmrFSUlgBneOCmZR2dONeBgyQlDZ4LBSyhnMLNzhtdQFwjg2czNmEwBAzIj54svOn+T8snvfMeH4CEGCIECg0bOQe2DAph+/1M/ZsyYMWNGPIGyfdtKTDvr4SCyUfcZ4FnMmYFctoVOJkCzZeE4rVJKTKYSiAFpIAlCaEgjV6AIBQJAjRMhRsNQjIQEqlloCESJhRpDoUYMDh2QOHwIMpRdOEWqh1pU4qHbeBbWKGBnNxImtUSFEqgAO2LHs5qokEmX0IGnQBoKgCQnoXbdmfo59Smuk4QrSvAqasEABxBlD1D1ukFVkYAKZM1ZQmFmEOrZhLtZOXCkHjqO2DDAMHSEAgRsISiB4Qwtk2De7MkWQRhojTfQymtqtSMYKNo19jUSjx4dyvzz/AQym2WSefaRu4Fown1i0foL77jrDuZAHLVtTxNjUkXOlEqf4CaCNMmg5g4ZigxitaBOBRCDAZSBjBgTGsIkOXJCmONAnSElJgi1kMORI3KEwQQpooR5MWt2mUJZtzVBCGUSMAkgaLIGoVgIFNEBJXh0wZC5QiW5IoZTnWym5IIQ6qJdEeDK10MWRCB6SinEaDCE5AATZbXQYQB1U4r0mOCOhlOMAdaD9dhQBmTXBuZBCOxAiO16Q1O77fvS19xnb9SGUBYZaFyFigCwJ5AB4ggABAbUTpxRxD/x0t8ofvIPXL+GR/Xu4xsMfi//9Vecj27z8S3Tv4/f85v/R3T2b9Z4Nz7ubn7/Ax8zZsx/kj/P8+7/ESJ6XFOQwxksxMi5deItQjRYFKS6qVgYDJgUhiq7DgquDCNPaE19JzZEMBp1KQI45TxweAA7ADBgIIPnUsScDZHBAgdRk1QqaQwGQC2Acs4AzAzu1DaBtQlYQB5kdyeg0aG5BSk0MYjqZjq0FUEHtBDqmubAcCqzWizADM2Nt5UXoW5JrajLniWEtlDH7A1chN0Ce5WSZYcx6pE1TiQPIHPOTgqAEf8v77g/QYJjNslXDGygpmmGRMLUNtiBCExIWjOUYECGAFaXwvBMBmHkJjMxDHXdvmozIrlDMZEdHFqRNOM5ATEhOHqmDq9DyIIE5CYboWISo1hnU0GAF67IBggFdoabBSBwwRRrNeecbAaSNZsRila7k+VmhiARPUK3zlBLAgjg1gb3Zod7FAWye2AWInKOHMxNYVIEktEDR/upTAGgXYcIJAEkIAMy0GDUv1eGgpBRr5aAJiMDgQSAe/59RT4GmJ9o2oAep/Z+79v7/+R7Pv1fl19rfXp8ou3dMWP+J3kiij8fpZa234z85BisllUVLFAbfWrNGsBVETw3rhbguVkJW06cUlY4HO7ScFklD7WhcS9oUpuhNytXz6x8zatfbwmFgwQIDHbkesfttj78yGOnajAo+gxgKcivb7vjoCOOJqATCm0aEXGCQS0NmNncas0JUCBUFUwBqyQIgRyBoM2giN7UM3s8c+/p5Q2aQFIF4ZzVUBCzmxFSCKbuSWlqplEDHCkNMZuI1V+1atcdnnTMCcf1U8PG7FEkJuRf3njDUce9zb0NzSKDGquTYTZGa8x/AM/azrkroECddWZ6ZsWmG28WpHvyJ88aHYamp3zqxJNP+wSDzRugD1GCFUSlQGsEKpFZuJ3bzbVqo4qAYTIH6uEMqAYJUXQHAY22YybT8FXQaTi6odNMJxtMUZAUODMImVL//2PvveMtKaq14WetVdW9wzlnIkkkZyQJooigkhEwcM2KKEiOkgRzvldyjpL0qqCiiImcJAmShmEYch6YPHPCDt1Vtdb3R+9zZkDBG777vu91zvPbvxN6793dVd1d9dRKT41YFZ2EmIxYreywoVCok5KMfMdcKh11IzRBU1cx7GqWilKDL7rsna+xZ0PohMpKqI5LUgN3YwIQLVlUGBCNDCGFlKoAWagFq0JTHMCmZikkASwmB+qGzu9v+NMXDj4oEBQEpZuu+VN/Y/ksy+++956gZoAiVvqCsKUDRqsMa/onGN1eV4seo8MXAQQdYz+25DP/s6DXvv4n8A+v2jjtG8c4/vv4Jxge/3NIS42RFf8byy117EQERIvnzF1lueU9+Ua9ceCBRwvpySd+86/33AB0XebOOfv08845bbdddmAk0y6L7L3PYX+8/l4DhLqqkMxRTiEUnjOJYEOy2DYFXOy2H3vs0dPPPit5xGhi6IQOCIOqwUmpoJgyn6kiwkSIBb+76konjWbfhEMOPTwBCG2XCYEUDpCy7MCXkqVQdD3VM24iMoS1O0KgXKQwgEFSWFgMBCEHcs1m5hgEzbwYWYkYU2g0sgcevP+k088mdmQJZYcZSo7qA11VI7ApLMI4waeezS+9QTeP43XQigACSa0ouiPbb7/jyEj7yMO+yAKNEJZut1uv54qc2EAjF114tqfGLddfSxQlx1OPPdXwTUe0x4fet2Bkgbrm9CdfZMmWm9g47NB9KaNgvizrG2z4jpqT97/3vbkgpc4FZ5zccFNvve0uoUwUOYcDDzuI2Q9MWu2xmS8iJiButO5qtay5wtQ1WkMBwZ5/+vF6g/vq+YGHHlGoSyR/ffyRRp8ccdzRTiDMB+y3X1+tf8JAf6Oe77r7HiMtzHjk2QHfnDqhb9v3vavtU4f4wccerzlaadKEgw88SCm7+trrs8z7jJt5Y7mB5WY985wXPPTIw9Js1OuNCy88X2N78aI5K640ua+/kWW1Z5961jQyWRmLrL/WQTIAMe2+6x7D8YmTTvn6wsULDGQwAULZBYtBbLR+ZwQMBJN/osWJwnrMb8mW0ZFsKcb3tw3mN/33v4b/4E7+K8fqlTrF0r/+5u8KNh7WOY5x/NexzJE/642jpkslGRCRaiKYhYgyeOd23nHH1uCiUBRq+aOPzZg8NR8cmUUoNYayiFu8Y7OjjzrkgnNP0ximTXsMlm/3/nc5BhC9IJZtIBJnnhsnff9fa57eu+M2pblOoG232qbu+n906QVKYBDanUMPPaSvUdt5m/dwnvuqBE1IIgIws814+IHzzzkrxe7gSKtThFtuu23Bgtn77v25b37juzXfmDQwudttAZ0//eFXkyctn+W1x6Y/zSrQeORhh3jKGrXJTz43r0zplJO/e9VVP1nlLVPF+XPPv6TbBQAtO2Y6WvVGN3vbBss3J599/iVOmISsbO/3xS/2+8Y279jKNfsAECKRGrGCq7wYIP7fuo7/W2AIQKiycGEeIHE0ZpLqFmBAXEqanNQ0EiEPGk8949/WWmuNfff+bMNR6M7RYsFee+21eP7CaMPf+95xv77m1y+8MvjBj3x61sJFxeAcDUN33HP7cOS3bb791Vdfl2Lxlz9fm8qF5519ymZv3+jz+364kyQm6HD3Jyd9e9Ott21r+Msdtx110KFa6sH7H3DuRRcUndbPL7vsK8cePzh/cLc9dp87b9bCzuJget0td86Y+dKp5553ye9+2dUR1cTRX3zRz0aG24OL5j304N1vXXVFAg784kGLZs8bGZx96Y9PP+WyM59fOO9jH9tr/pz5w3Nnle3Wn268fZcPfXgoDAXtjiwY2mK9Ld46abnHHrz7yGMPn93ptNrdQw46mDV8/YRjbr/9luH28P0PPHTzrbebWd1lRDYyMiQQEgfJoIRyPqho9DWNQSCD+syrLqlC0CuSaUJG/xxrk9HoN3st1dMlKsa9X29k+eOlXv99/Kd28p8+4uuten/XxjhO+8Yxjv82ljnyN4bXaUAJi5mRcxCpyo5kfX3dVvvRZ2ZOXmHqUGuo0cgAZed8nrU7Qx/Y9f1PzZjxzOMvHHzAkSef8m/eAwqxhilc5mNUQnbTDbds8653duPgHh/e7bY771Z19z78yB+uuUStIIIj/OSM8zffYrN57e7v777PiDshwRJENEGhinTjzX/6+te/CiCX/Kijjv7Nb6/WJNdee/32O7y3W7S+9rWv3HvvfdMfnnbu2WcuWvRyaLc32mhD5+iG31/3iU98MqTi2Wee+OZ3vh80idPLLr/oqaeffOWVV+675z7noMk4y4gcQyKiE374ob/+6sqL6/2Nbqno2kXnX/qOt79jKLRvuPfObtlVgOChslQcFY8ld4zjjUCIhBKo3JsEk6q6TYyxXofPoCiAJCzHH/uVL+57kEUQsmOOOWG7HXdgMg0dX3PstH8gC7Ft3aFbb7v5znvuvv/hacd9+WuTJjQfmzbj5z/99bTpDzz+5OOHHHnkOuu+FcYaUpbVDzvskK223cqsnWXOFAz5069/86FPHViWdu4p339q+l+efe7pxW173w57FJ3y68cf9dzTM/7859uO/fJX+wemPPX4U7/4+c+eePqpddbZ5NyzLzVHyoGZIESUQerJ6OLLL/nat46XKjVFI2n526uvmPH09HseeOiII4+fPDDh+admXHnFFU+/MHdxgUQBFK770/X7fu6ArF6/9+6bL7zo7EROyMUQYGmDdde+9ZabIux3N16/xrrrs/ik5cc+8MFLz7tIqqc1RThGjVLsBENIiAAhaUrErvLzVpzARivs/BNQBFvyWysBGBvbYDrGCl/36f/ZE7L/Sfr1N3t+/XFe////uKd7HOP4p8QyR/7+jvfAqgHUqjQLmKnqbbfdlovvH5j0sc/u2T9lkiIz4oSkoCIgz3MRPfTAQzbfdOsffOvEFabWnAQHUBRVhSXn6mUZP7Djrtttv72VnTXXXOOxxx7Lc1i3MKbKCVh20iuzZn3mM58xUwdx7GteLEWwVhILSUOzv1GmoizLpHjLW946dfKUpLVdd9vjne/egjkee9yXdtppt2eefvGEr35dHOA1piIE/OH31+68657NLF95leVnzXqVBJLJkUcdUas1Vlx+pZ/+5ELPlSSqmhrASGYW4YWgmkqogbKXnpvz6U99roSqdcwSAFMCxCwBJSESAFuGssX/q1BgtBZJVXnJzMyYXGsYAMwCwYoymImXumOA82R1gMWXahHBjPjYEw57y1unNhore+rPfC2koW639fnPHnn0sd+9885bZjzywAvPTU/dxeuvs7mX2o67fnS4Q1TrQ+jUXdIwAkMoQ0I+Y+YLE/sm7v2Zf/n0p/aYO3u2+ObPrvj9ym9d9Sf/flm7s6jVXlyUYe+9v3j44Ufdcscd02Y8LAIPioFC4tKixgACkj32xIsjHV1j9bXFld/5zpeWX3HCclNWRMxTq52LD0n32X+/I770pTvuvHPatOm5RwZBCqecetqHP/ZxkD315My7br915YmTan7g/LMugPOHHn1UUXT66vUN3v72bXd6fzT1xIyyDjZTgyFzhoBikSG5LCeBmTG4st+PhvCqYZQg0T8D+VsKfztWK0Z1o3tZZf+9ULh/wOv+9o3/UQq41O9/dJxx/jeOcfynscyRPx51IzCqQaU3qhAo8xmAqg7Me9///k63FVKxqDN06x13QCRZJDig6WRKt21IxQYbrvOuTbfa8u3v0giHkhERIMIgSVZmnsruCJjJ153zXiiURvWsUwaYZIBnuevuu0mtRtzPGTqlAZQ51VQFcgtjqDUszuW1mgDzX50zd/bsWt7XapfO+WjR2GIqX3zppbKM7GrdTpsZ4pA35ImZDwy3F6vazTf9kplb7bLZPxnkLYEMTCCBgUA+KdUls5QQAgmzEoM0pXvuu8c0UrRMsoyl52EyhZm3//Y8swzBAQIdpSMMYhMhMzaFEzC5qJpneYwRUOLSAjENGLgMLRYPN9Wob5c9dhlsz+2E1vu2+eBGG2yU5+VXj9l/38/t86dbrif2W262Rd3S977+5Qfvv7cbyl32/OjN99wTksJlZavb5xwDvq8xZ3j4Wycc1ykGt99pd7NsxZWWv+2ma2+6+U+zF81ef7PN3rn1tnm9duxRR3/xC3vdfvPNQrzFZlt46grMW+5QYxLOIrQVyu5Fl15x2NHfMBBzudMe71nUemX+wqEP7fz57Td/TzE4+I2jj/j05/b6ww03NvsH3rbBOqLw5v949R8+8blPT1g5A6WFi4am/fWhwcWLhoeHfvnLq+KCxYd/ft8NN9xouNArfvnrCy7+MYgdUQ6x0K0RqWrSRN7BuVq93m53AfgqWoM5LqEGSkvzv//9eM1jZq8drkf/Hf0Mw/5/s8T/v9B9f+cc3vC0xvnfOMbxn8MyR/5gxoCAYFZVm6gsB0lTqtbRzEpQGDsXTQlCxmuttdaVV14BcKvNP//JdWutsalBNbXE9ZalBqMldRaEiDR2GvVMo4Ibv7vmug/s+H4nQS1yrS9zdevCEdbacN177/mLi/jsh/4lC8ZAAjopEFUkVbbfYcdvff+7IUYhnHryKZ/62CeK2M7zWkoZUz1qYknrbLD2L391lUa+8MKfPP7kExGd1dde4ebbrlUzAAIQLGv0dUoC5aSVUCpSSsSZgUiJwJwM7LpJqeBGziblehuv9dC0B/ucfGL3TzoTBsgFILCxIOMkUAONx/z9Q+RqTCxAtfJIQGlm3uW9O8eyas4WISACHeKq8IkXqXdKSsGR5BEMX5/70rxPfXzvnXfc+d3v2HjPf9l1p/dtBsKZZ579tvU2XWOVtf/1O9/r7/dwmP749FXWXJlFUEh/860a68xIFD974OdO/tYxFHH/tOcenPHimmus/fE9dzrhyweb4Job75o3FLbbbvtPfmy3bbd9hyKcf875G66zseoij6LOohGlBSBqaD/7/HPdqCuvsUoEPAjahfCi+e1/+eDnd9pq+z123GGPj+62w/t3AJonn3TqRhuvIw5lmX544hkf+/RHE6O09M4ttz3umOPFOkOD5Rqrr82UPf30s+/eeptS05FHH3X//Q8yEEMiIPdZSkmIhUkrKZ5oIt4iAAh7GJiggGollqdWBVn+N5JCzUx1CZ9IKQHoeQaW+sx/ZD+oajYBS//x5p+sDjf2byUSiKS9Qav3HgCGobeuqMIKtFe7oPpZ7cdGsfSel/rYayIFqyr3VcuSjR29+koEae8967nZe1XxX9uQqqNe111LHV3NUkpVIOySU4pRq4b0RubqK7CgS0VuVm9Zbyllf0MGzWxsh+MYxzjeDEf88ZgDbzjswBsO+/LVX11kizQmMwsW1ZIlMzWzlEyTVgNIsv+1UFVVNUuqUVUtqSW1qJY0agpm0VKMpZXl4KuzV1luijDg8bGDD1lQtEpdcMAhe0Lg3dTzT/uVdsxsvtmCbTbfduFL1u1aYe2YOlaaJUs2ZDb/1ZceX3XKynUaAPici85rx+6rs59fcaW6qwEu9/nUFx9/vvPKsyuuNMW7xnXX3vv1b546kmLLRgoro1mIatY1W3TmOd8DAfDnX3RZO+j8OYs//OFPtoMNp1hYodbtFvP2P+AT3uPM08790oEnDM9enFqzN1pvUrNJQP2TX9i/sPS9E7927fVXaSosmUUzS2apKKOaabLuyHBn8exVp9YmOkCmSNb/1MxH573y/HKTJrp84h9v/euXvvGDtlm0MsWOhVQ105Kalf+3r+r/61Az1agaU1n1/LDZS7PnzPz4R/fujlgMptZ7hdgxGzZbbNb99a9/xYSah2PZbsfdhzrp5FNP8cDU5sDMGY93tNO14auv+XkNAOG8889UKzTaKSee46gPnJ104TnDVlzzxyuaghog0v+e7T5YFi0dfHaz9dZ0bkDqqy1aqFaMDL7y6FtXmQBff/uOHx8qzUJxwzU/yRyQ4cTzLm6ZLVg0c+JUjwzob6Ivn/nkNCtGNt9k0/tnPjPfbFgt2chZp387Y0zKJz794KsWrBvDlb+5SsB9VD/7rPMXWRw2O+nkU8894xyz1O4OWwo2MrLemquiBslWembGi9YtbrnmVyBgYAImrnDf9CfLkMzKZJ12akczs6RhJBULLN5z2hkn/ObmO+cl65ipFWYhmoWqu0PXrCysO2ytZNG6/+jqqL5+U9IUomnv3Rjj3/1iSFHNor7ZeJhSMrMQwj+8ScZQlmX1rSVnaBZCUT1vIWo0i2ahNNNkKVjomloZLJqNnrV1u0uaPdbAsT/+5qxSSsEsxRijpmTVENl7Vd8piqIaNqvxv9rVWM+klKotZfn3R4MQ0thxVXWsOTGWS+/EzGJUC6l6HqrzqdpbsUVTG7s0NnoJqv28bmKqjjiOcfxTopovkmnU9K8/PWm+zetaa/QRqVBNzymaabIXn3nhpWeee/HF51+Y/cIrr7wye/bsuXPnzp8/fxnS9rVK4aMy741VyKoW1WQRZpZq7KBAGeAJwhEo4HIAoeM8G0SDkwQIwO2gyaMfhOSQEAQigc0hpEHvEqGOslYmkjqCljkzISUrAglbMzMgKqQL9jBf9WtgJHQTzCWfsUvaIQ6q6qRJ5sto4skKsEdgAErVZTJlophKU+clhwLSAYqQnHKfYygSQwnQSI4cgGRlTCnL6ynBEUCK2AErzAIPuErETiMxw7gb4TxKhSdlTaKopFPVlN14wsebwcwMxKRmZJFYAG6VcdG8uSMnfPmUSy+5OCb4HICpwjtVtBhCxCGal4ZGmKBU4+qydZUQucaFRs+eYkma4PuShpRSltVCEck5FcTK2axdYQrBkZcyoSERGEKaGCMnRu5gxRB5mDSG4SLQBHIL0EIV0fcZECOabhCQMnGUhgK+jLm4FGK3JiVSBq2pCUlS0kieGFW5ZygSx6GuTKy1CQGpD2JFdBkZEishEiSVDmy5C4CWQEx5FsmVEQ0HBBWvI1oQZx4eZTdDhAPw3Mmn/WLtzXbd9r3bDGTIEFK0iIwdPACLSQsTCkCGhvyj4cp6itJLb4KpEpGZkTCAlJKIVD+tZ3Mig9Gohs1/ZOcVy/H+DYuiq+pYzSkbNcsx82hCPVsvxR4MWCVCpBHEMIU4A5JBAWdaiXbGGJ1zY+dfnczSp9RutxuNxpj5TcQDMCBG7en7KZir6vekGs1MRMyoOjEzU1URGTt/Zq5+VjY/55yZpWTV3qrPM3NPY2kpLe9q+2hHoFLCAZMBCaaqQsQgS8oiAJImFlEgWsp6tRoU4OrQVavfqJv/985f4xhHhdFAWLNxbd//HKoswGoAJBrVoTUhcezKKp7de6ga0NUS1oEGJ/UUvKmTnpQBwA3n+wMSHMpQGryCApKizFwWuookcCQ5ekOdQhOEcgepBEvhGHCVIyil3mRiUAGcOCI4yYXqlpggMWk1aLJUA74mBAAhGlkWIznJvEdMBYBUKCh3zisHQiJVAgOO2UGgZsI+z+spqlQhkKpgD6nFxM5AhqRIoJSSWawJKCIjAMzi4QhagIxZ/l8IDPp/Fr0pHNEwFlwAmCfUann92mv/UG9OvPSyS1KKIuQ9gYSQE9W7neCdt6DsoARxJlAySMacE2AZZxqJuA6uhQQWLyJA8Lkl7ZaV9yxCqGZg9mJAXdDpFEANys4jF7XQplqeUC/hCGgAlgoQzIR9nwBscBRReGjuOScgJHWZK1tJMudQ1mE5SNi32kUEuZzNRaSAYJYYpm4gizHANIckLX3OZRmJMhjgASIY9zrIZ8hqTC4pMgBdE0LU5DkHfKFllmWxKG/+3R/q2SZf+eoPBOQJAEJZimRj073FKOII5iEJ6P6jG/TvKEqbETOIiNmSVvym4j29a0o05m1M+oYeRlvKzaqqzjnv/Zu4fZl7mSsxxooFjg7OAbAiaaFqABlMlQmmCnZVmApSrHioEYhMNQJacaCyqhg/yvlsiQkwNRo1QE0VwBivTZqc45Qs2hKapDBmFhFVrXqmCCWISDiZVt7hioFV5+ycq45OROLYgJjMCCxipAaUMYAopGiV05qp+oxWTwz34rGrzvIsQkwgFqkcvlUNn8IiSIgoxlj1npk551TxBt08Hhc4jnEswbKbrblk5W4gojKFlEIzq0ENISJ3apqzV/WOkWIJJmKGJRBAZMTtEGrOzOB9pkBSy30vzCXL+5EkpCokKuQimkTIpdhxDu3UZWkAEPVMlBKiAxEY6lBNLVoG8yzEnHmBmTiJpmrqpRVj7lymyKv8AGJfaSiUZVnP6oBJnquWygx4WOnY9SwWjHZZ1HwOAAbWQCKAQchMCOJyD4UaSm17J2ZGqCFAHGJS4pRMHXtITYNy/n/r0v1vApMBatYLQDNj75qTJjXmL3hFjVWNhDrdTr1WjykSgYhreT/KRM5ACli05ImZtCy7WV6LmoTFCSNCC0kNJbATQbuNmvdeIqBAjVG0yqzPqSlFJqBeb3ZR5B6kCTGQcAyqPlfAAxLVcwYFOTEoTMksF49EgJhCBA1hNWR9AtUcWakls4C11vBG2kUSloy1KswSTUXUidPEmVSLrJDleSeowHJOmshbFgxZBg2BRBIsY3JVtUtNwr4Vu+I458w0umb/Drvt0QnzjSYU5piAWHjvNSUjYUEyFeegKswFEgB9Y8P037H5jW0HQKQpcfV0jHLEnsVrqSpRwvJGlKLatwipRmaOsXTO0ZtWna6sVmPmuh4d1K5yJtJMQAQySkwGMxIxgIxhJZhiKODzhN46Q2EEBeCzzAAjVKZKYh5NP0fSxMxMnHrkyY3aGkHS6xrtpcf1+C4xp0qw22dlKDOf9XqmirBcqnFFUWRZ792UTIQMFmLwTgB45wE4ccCSuD2R3vIopSDOGVRhlfCSYzFTItYYOPNEVCIwSaoiH6tz7h0rjRkjxzGOcbwJlj3LH1Ap5r52C0R8lmUAYD3LX/URIcRkyoVJUlQTawEqSwvsqRpyJMICPDNQFkktRg1dE6YMZUjVOlTNQGA1pJRJ1o4pjRogk6AUBCCk4MEZRFMpXghVeWCGmloJMiKAhpyzFGCGEJJjAgKRMbt6rZ/YAYAqsze4pDAlJEVMZFGtdFneUUsEKNgxtAMqA7QEd4LGVFmK4Z0FtI3MqnDwACdwHEEppGhMcBLj3ynyPBaX8Lq/lzUs1Wqqsop6qTdmAFdBTURqTCGmvFYH4ATMPSsKCNBo6IbUzSjzcBZiludBgzGpRVQerDoxJ0U0M+QNJFIgIEHBhjzPonEidjKa5YOkNgJWM4Jl4jK1riCSJS8MUAgGaDe1lAIzVAERAJ1QhUyAKRgKqCGR7+RsLqaoFALKaBwqDWuACIlVYYbkYJQUSTUEmOWenc/KpCQegIiWocveVz5WQIvQBcVKnK7pGjWwN1hMYCAT0EC7UEeAWuYYADOLwAAmRjKLCWCBi0DH/n5axhsxPwCV2W+U+QFLZSQs+Tospoh/ZPmrDl05Qysf6Js/C865sizHrIO9M2QjWIEy9Mo0ayzaIE2mWp0AGSw4JwqU1QlrIpCaVqcXYiCQWS9XJMQAgEBSJSGZCTExh9AlIgKVZUxqMWlSiykaSC2OJXYQEJMCcD4LmhSo7sbq2o3ZO/M8J5DGHnVWBYG889UpqWnVgTFFAhGoanSV8yHOVZ3A4GSp6oeKcLP3ABQKUISWCGqRmVNKqrFizGZvZPkbxzjGsQTLHPmrtD20Il7V+M89nxyDNfW4GpKqKgFlQmmJ2CVY10qjAq4DaSslNVaTVAYCcgFCpCTCdXKOM3p17kuf3GufZCyUqYEcG5KF7mYbbvTFgw4VJxFQKzQhEv7y2LS9DzuAhVO3gCUnroq4QpUASgyigKBAt7tg/Q3WrGV95551ee49Q8oiOpdBk1oJKJSAzMyXIXqulsVE7EAoQ8egIhSq4TqUqRg++JD9n3rmKSXyvjffqcYEA4QARYKrNGmDJiLyn//ivsx+YMqUblGU4Q2zfZee55ZZCgggQUZtSREUiKNqWLx48VtXfSuzXHrp5U6kW0SFnnbGieeef0aZgmoBbVtsESiTjIBQKFktFebYMYwISQ2MkCAoCbETSxCDpJNKD6sDaAOGSNZF6laqwsEyMJVDgGqejwQloGZJtHQkIaLbUe8ZmmpSI7giBuaIsquGvEYECArDSLQ2gG03eu8rT8ytJDTmLpy96mqrDjSn7H/4NwuGORjAyQRVSfAIAZyQeAsll6ohiDQKcEs1oZtlUmlMJ9OAcOOt151z3plJIwCncAEUwJIZrAuU6vIsI0AoGELPohgSYIYE8SR56obHHp1x4KFHdNPrVyCvD53uJYGNhmaMsoZp06Y5kZtuvDGEICJVKoOq/uY3v7ngwgtU1YkrQ1lVhn+j/T/66KNEcuONN1Yu0cqTa28MAIODgyussEKWZRdddFFZlgBQjpx8ykkX/uiiTihLC4C6XCyWTFwEZSGLBUhhoYymQNLQiw8hJqKYShFJmqq0jJjKnlZ4WRgSwWAJREhaNTOG4L0TJhEWJlUNMVTr4KQpaShTSqZFLAEIS0yx8kioaZX+MpbkawpmMgMzUkpVmq6wlKFkYhEJMYiImpahyhSBCFuMAFJKIYSqFSmlFKOlZDFajDHGmNIfrvvjwUcc0k2huoJnnXVWrVYbGBh48smnibAMRjONYxz/WSxzT0nqeRlotDwqMOrXUCgRQWT+rFlrr7lm7us+yw465CgIn3LO2X+66UYmB8RTTv7WeReesfMuO5cBBBafHbjPZ2+98XpxDlYLVchV7BRFS5GYSRORscGSlix0/30PXHTBha2EAAgbMyLANQdPQYNkOaISTA3O99byWpZWeUAQa7XmjEem/faaX/kMqjB1maunALXIFMrQqWZbS8i9D+gSCYhQdmHJOTaga3AVn0tB2Gp1N9JpR4UCoQS4svHkjLywBAqwCA9QxuYfeXRGY6AxkoYWLZ6bZZnn2tJ9++YMb9nkfwQisFWuMZRECdCi7Gy77bYxpX2+8AVT1HKXLCQtWaKIsCi0vcXmmzrf8C4779yzBucv+sJn92dkwdILrz7zub0/+8D9D02e8pZHZj4pij/88feX/vtlDz46zfc3J0ye1Jf5ow4+AglfP/yE4fZwB2VJafv3bVcOdyghjoxMmTrlmptulrpLqTz31FMb0vRSmzh1xajlE9Mf3GXHnbpFCnAHHnzQeRecDueips9/cf8DD9oPKAglJCFpjWpecySIZJMnT33hhZf/8sAjIx1NnAUokXoSREBNBBGxNO0WkUmI4UnIkAByzNCkwTsfY2QCgJGiJZ7FOU2pMlhWHRmBMBoaZwlCBEuqAUROJKVEIE3JikKIy7L0Pg/6dxYeSzO/lFKVZ4rRKiEpxhTjpptuWhTF9ttv78WVZZllWYxRRNhJjLEiPaNlQV+z27F/VXWjjTYqy+72228/lgzxJjF/VewagO233354ePiAAw7IsiyEkGLpPFfuYE8+WTj95JPq9b7rbrqOPZehfPqJJxvcX8sbO+68UzIw88yZM7PcMcuBBx4oIlUm7yabbOKd23nnnatzO/fcs0Wy666/rjp2KMuNNtqov79/hRVWWLhwUbcop017xLH09fUdccQRqgrixx57zLtaI8uOOuoo73y09Mj0R2p5fsghh1SUbL/99vPe53ler9d32G77GOP06Y8KC5PstttunU4nxjjtkWnNZpNZDjjgAAC///3vnXP9/f3euf7+gWnTHiEnj82Ykee1er1+wUUXaIyt4ZEVV1zRZ/mUSZMff/xxERGRoqiq5aNy8h5yyCGdTmevvfZ6kx4exzjGsTSWOfLnVRjcK29VVY6PkKRek6/WwdBYFttstXUYblmrnBDfOvuxRxrFE6v0Fb4dKeQDrJut2//Vwz/5swvO5YSHpj0xUpu62S67zAdGXFnP2VIJx8161kjxrB98t9GgbXd/7whGLA1us/G6K06desZFP1VBFg0j8/bf+6MT8vqOm+yc9K0FNyLnRgbEjAK0u2jwue9+58iDDtkn97WDDjs6IEO5ltCENg+3s5HIYFhszd5y0+WazTrLxLMuurpgRIk3XvfbPnaTacoZF10MZXTt3etsPEUGVuofkE5qB9w3Y3rfxOX76qucc8ZvpW/tQUYAMl8MMal2s+68vD1/+w23dLKKNNac+fiLkGg0/MRzM9bfcDOkuiVJHl0plp7wxtIVX7dlDP/Hr/b/ObyOYYw1WSpJD5hZBuRAYi68F5KBBYMoEogSa5nBI9TYJis4xnDAYYd8+7TTR0LZivMOP/QjUhscEltMEKpNBjfLtjP9zBcOe/jJ+cbP+/S8dRe0GpO33/+4WYOljSxoDC+8+da7F0xZfhi1qTEfmCvN4X5VK2Xw99Ouu/J3f3jgpsfrbUhHnGT3PfHYnNT9yplHnvOTI1945aYpU2Tm07NmLaQ1Nt5hmJcHzW8vfnzXbTaZ2L/iq/P7h8IKAX3IO4vwcrexGAJS8ugLqA1yESZ1gRjAQ+DSsXIbXBg6Foc232DdlSes3Mgm//i882EvXHLBUb++8qK+5qq+f60/3vGXwMOic9/7tnWm0MDnPnrMYFh+GD6Kjz4UWTGSlV0JouVfrrnKN8h5OuDo48380Autoz+53ynf+JZ4mrDG8s8NvwLXPvSgT0/qa2717q2GorY9pPPS+zfaeIAn9E9e8cVue16id2/5od+c99up4pu5e+zlVwedD8wJw8wFnAi1Xnzs/oneDQys+JeZr3SEhUbQmvWujdYnmrjnx/Yv8wldBJZUFT8wUiMQpPciIiqA9hNPTHPipkxa8bknZkkSpILDvMMO+JBwnbPmb++8azFRIjKjUq0gFJYcuXo71hMprBAEwDvfbfhSF9eLTq2DXPGjU096z8bLfWGvHQpwAMJI7bDPHTXv1YXzOvbDC84959JzyzmtT37gI/NmvdoqOx3iP93y59DFTu98//VX/N5Ku/nmmxMPn37Gl7fcZPlD9/rgFEZXFiMWx3z+Sz898cJi7is//unpR3zzkFcGhz/12cMXzAmp1dEw9+bbrnpl4Ysf/Min5883WzRtqL3wqr888peZT1563slXX/Xvg81Jj/naHF877/JTUprbSZ0/PzB9rXU2o8X4xueOXjx3bmnpq6eeeNrP/n1Oe+QTH/3YolmvpFQMQ399++07fvAjVsZy8YgNj2y5+ZYrrbH2Xx95+fCDj44LF2lHD/3iIabZt79x2LR7L4/lg3c+cN0f/nxnS4USBpzTLiX0mXpmzjMHM2c+o0yjAdEQFEmr8FUr1UooQ5e5+W4c43gjLEMPw9Lk47UMpReeXUXGIMaBgQERCSGA6C8P3brSaqskqy0eKVzdw6HV7ZrKrrvs/vQTTz94/8zDD/3SOWeeWnZDTmBkChCzFoFRv/Gm27beeqvOyILdd9v5xhtv89mUO+++77e//hlZtwTE0RVnX/T2d72nW3Rue+ghC90MCMUIOYaqqcFlrtZ3wQWXf27vfbvdbrc1dOuNN8BgToS1zhRCqTDXqD04bXrRHtYyXPWzq+fNjdOfmPmdk77d6g6WofXF/fYG4eeX/PQ3V/9uKHRvv/O2o448ZNGiRZ/ae+/nZ80daccjDj0whGECEoAkCerEIzYuP/PSH5x6eqnzZjxyz6EHH/DSrDkTll9tr0/uc9yhh04YyM6+8EyBZMjfhNL9c7O91+E/2thRI1OMsdnkPIOwEBEIXz7++P3339+iORc3etsav/vtbwI80DTUy2g5N7SD2CnJSvEuqKy7/nq333m9DjpPA5pnrWJxX86U0IkyBHVZIUOzm90RT2wZ2jkRcw5a8NzCd22+1XAs5iwuwK2JTcpSW4DFw2ntTd8TuO9De3xkxl/ve/KhB971zreXVAL6yEOPvPudW239rq0ffvhh8QA4Mu6f+ciq662WAkAEhQPqmUdMgNOkNSgjGgvgKbIDPTTtwQVDi0YWDl3xkyuLkVbb4kU/vnTughfvvPUvv//F76zEEYcf9d1TTlpYDP3kVz9hiR4QaCy6OcQl85AFC4cu/snPWkOLOsFGhhZfe8NtKvaHG6/b+r3bhpS+fOxxjz007fSTT9lqi3ctGpx99713SSbJcMVPfn7llb8YHhq66aYbjjv2KHEYHh4OZVrYTlddddVNN92QopVaVrWhVQHL1lh33aHWwi/s89lGsxYUwrUjDj7sggvO66bF//6bX4UywjzDqyr97fA5ugZYd911k4a99967DF04BtG11177jne8Q1N3uNt+37bbeKDTDcxwwj2fQwjVjZTnOYMJCGVkNI896mv7779/vc7dbnHQkYe+c9ttFRChIoIFSkWt7lLCzTfc/ujDT9xy+w3HHHf0xCnLPf308z+/9PInn37iueef+vy+n1lt/bVBKIIJ8mOPOeG9275fDUVR1FQWDS6eL8Xbdt62I/q1o44deeLFJ2/9yzH7Hdzfz9Nmzrjk8t88++xz993zl2O+cryfhFeen3Xllb949LHpG224wdnnn5MxMoIkMLSOJhKlgPPPP//QLx3imtxGyxBUcdutdz352JO33nTj0Ucf2T918kMPTv/lT3/x3LNPSyV32C2v++P1H/3oRwcmNO687aZLLj6f+2ogMwY7WnO1tW+76S5Y/do/3rT+Bhspg8Tt8oEP/OiCc3IerepMBMB7H0IgInut/W905bkseh7GMY43wjJE/lDN0NSr7zJK+Xows6iJiOAkpHj9jTdNnDTReb/3wZ+Qej3JhEg+URnKVnNgBcIAwEccedg2737fN4//1kDNTaqRQ8rB0RJil/PcDO/bYaf3b/de5rj+mms998KrIQrq9dBpmYYMaLXjrJde/uReew8X0BAplQzUc6/dDphNJQYebsfdPvQvm22+pRf3qT33fPWZp0uHgGgaNHabPmNmkJx1+ul90t90U2Y+9LSwu/G2W77xg2+oDxDNmOPikfPOPGeTTbfwtdoW79pSrTt/wZwDDj/UTeizpMVIyyFalfidSBAQIgbLK3/5hy3f854IrLP2yhttvH5jwpTZCwavvPKq0049cXh43kGH7A+Aw9/v5H96O99/DtzrilGFX6si3tttg6KqpBtDqJyDTggWjjjy4D123W3A9+/0wU+0UeuWEos0IUfuhchaIRXK5viAA/f5+dm/sNAs1buMf3P5j1aaNLUxeaVN3/3u9+38bl307JrLTWnU+vqXX+WRJ2d2tTt3zpyJfoX+vPbOrbaY9sT9aIZ5C5/ebON3TGk282yF7bb5bKtsLL/cWzqL5z5y/+2rvXW5uQtmg7InZzy++qprvW/b9951952tLhJYQUYKB6kjJZiSA8rhVoOcKRqgzBQWywioAzyleP4lF7m+xvIrrDZj+mMqtKhsH/e1r+QZ1l15DV0cqEWa5N07bJ8yH3wQpwSYhlpeQ0w1yhD0z7fdud3OH2i4uhiOO+bYZ557Ngjeu+su79jmPQF2whHH7bjN+xa+NGfvT+8N9s45JSPG6aef+/bNtugfaLz7nW/3DpowYcKEPT/6UUTstuvuh+6/X7+nOjPMGAJjSAbngVhF0KaITjs26n1v32IzIjhW75wQUiIiM/QegJ7qhI1eb6qybLgsy6zWQAKM3r31Nt/61vc++5l9vEBVixTrNT+m2GFm8N6IzKzVaiWzZOYzZ+gnywGEWPiaAQHsTCWBvEO9ia99/di+iQOTJkws25rxgFG30x354r77HXzQYbfd98Cjjz765DOPFbG1+SZvc662xwc/UiYALiaSLOesjtKC2bDTn/zp183ll//NL65Oc4ZkYcu1ikMPOebQIw+775E/P/TwIwpuFd29vnj4QUcef9td906f9khIXcSuF9Jut09QB1tgpPrMx552zm2w4dpRWsd+84jlV1ypluVlK3bbodHMumFo3733OuH4b9x6+z3Tpz2sKECRfP2HJ5659+c+Dyuff2Laww/dU8/q5OWMC39cKo488vihucXkfIN3bPbu92//3sJQwJhFVPsIIiRCKYaUUjT13hOjynsjyGsGofERaRzjWArLFvkDAPr7QSG9Ol5V0Ttgxx137BRFTDp35OXrbr3ZuE7eJQTyeSj6umUd7N6y0tStt9hyu/dszRGCwqdSSkgvxm7YtB01dToKyzPOU0pV4J93LGAFVPXue24jR3mOWu4zFksAmGtNi2AnzkFEWt1WvV5XRca1NVdZSwQhluIoxjKlaAlPzXj8xhtuGR4eHBpcsPFGm4ohdjqWApEpRdXgvFt+hSmz5rzUKoZHuq1LLr7kqaeeUk5Z5hLH6tDcK7caHQD26G92QofIBIiK5oSJKpYsEaUJEybUpCHGlpRfW1Rh2YzqexOYLR1ZiqULfUwcGMgdYTQw33mJmgwkZNYNMP+RD35opBz+tx+evsPOH43J9zey0AZgyZz5OuW+1W2tv+HqLz31rJQZl3Uo7773J54bmj/YaR+432EY7kyZ2Jy/aNZQa3jerJfetfHbROieR6d/9vOHeJmw32c/cfUvLrNycWNq/7Qn7rr93geenP5SivL8s3OR+RVWXX7ylGZdUp/GzuxF//qDUyZNnLL8SlNOP+cUoxQ1CWqWLEU1hjlElACatbp1zQHChCJAOXNNACjbj8989Be/umqo1Xnp5RfWXX89eDQm9rWKEoxOeyQVxaK5C0MX4moFzPu86HYFYM5iSiCBmRA5NtUIFQ+oaqRUIlrNq2OFMSxLmHbvg9oO6AQz6xYjCWj0TXh1zuzhbrvsds4+/VQHdY7JCRicZQZTTdJLuydhQCNC0KBV0ePco9ttLxxc7LOaKjQlNtNU1SVhwugDMLag7F13EvJlWfosMzMIYDYwafJLr8z+6ldPqOWNH192mRdHQFkGwATsSBCCmbFIo9FgYgCmEOSaHATEEVSCRAtk2YAmKiOM9P0f3rUTWkV38e4f2H2jDTYml77+za996lOfufb6mxr1vvXWX6tM7W9+52t33PXnGLvbb7fzjTf/OSq5en8ZKURDrdbpdu+48eb7/vzn0O6u9ba3bbTVVlbzx3796I/usfsdt9wG43U32kiJv3rkEQft/bnfXXtrf63/nZttVhcx1SIWpkEMAqhlRSmXXvqTgw7YP8WWq+vOe+5UxkUxFnt+6OPv2HTzGLpfPv4bn9nr09de96d61txi080SWimVN95w42f32mdgoOkotQZn/+mPv+3o8FBo//yqXy4e7B683xHv2HjbhcOLLr/4yvMv+BkzIohAnuArEZYU2FGW+5RCu93WNJp887cD0jj9G8c4RrHskT+ARktzjQ4NamZlDETCzGAuykjMZhRjzJuOWFZfc62f/+LngAo3L7n0t2uuvgVJzj6CQmsYpLCYnACCdhuQDI5BIXOS5w2gdvWvf/+BnXepCliosSXOgEYz2+BtG957z59J7aMf/qBjASEmlyKRy0MRocgQciFAyzJ+5YSvr7nGepJQc6JGLm+wOFKkgNVWX5v6Gg8+8cz0Jx/wbLtvt/1p3ztR4Ftl4bmOer7SGivc98CdXjiWqnCrrbH6r395RRGHbrr1uosuu8QCuQSyhEylYDBram3yjo3uu/NOBh598oUb/3x3lnmhUGpn8ciIqa+hlgHgJdm+b1I+Y9mELVEgRY8DVv1jYKDT6RCBCSGGGAMA73yRutBE3IfURIIQVlx+hRWWX3Xy5KkPPnzXyy89AdX77p/ZaA74GuW5E2CHD7zv8ksuzWKtLs1kMaDk3lHrkfLBVLrM6hKoszBZ/MWNN89ZONxpDw7NeeGph/7aanUKzlvk119//SY3XnnyFa+y8mqr7PEvH9nrC5/PgWayu+6Z9rOf/Xq42ym09dWvf+nWW69vcs7JM3IRVlNFKY46YTiUyVGNUwFTI0dWYwBQuGhMG2/49kzw4ssLpz3+aBmLst1p1gaKEr6m4mzixMnTp814esYzIwuGDtrngJxrMcBASjVU+tmps+G6a1z1i59Yp9SE0045ef311zHhwU4rghwcwxi01uprTHt4Bly212f3bjZqTWCzzbe44657EM05zskxLMSuIkJgIbBpxkIAyKmCCCYRtZwbE7udFIoIQt+Af/Sx6c8999K8uUOHHnJkKNtOtAxtIoJydZVf40NQMoJary5gMo3RIA7GYHnb29a7+y/3PPDXv1pKZYh57smMQEkTnLjMm1nRDVolIo/aEi1FJ0gpWTTOJrY75F3TM8wSyhKxGFw88ulP7Lnjdttu+7737PbB3bbeeutajpNPOXH9t62/wYbrfv8H320O9IeIF156Za211hHOQ1kmk26QLmy1VVb99M67feOAwyTEa268cW5um+y+3e6f+OhOu25PKZ512ulv22Cjd2+11T777LvtZm8HN0791xPXWXnlDEQuC5Asz6kKoSb3+DPPlSFttP66dWdAhBVG+sqrcz/2kT0/sNPO22z1rg99+P3b77RjjDjjtDPXXXONOlyy+N1/+8Fn9v4cMczie7d+5ze+9tVYlosGF0+aOimv5088+ezmW7wH0R97zPGPPvpoANpFCEmFmLTnNw8htFutLMvqzSZLJYG8ZGrriR+/wbJ/HONYRrHsaPuOIpmlYFpWjUpmMWmshPBS1MJCd8HLs946ZaoDMfPnjtxnKLU6aXjvgz4CD4B/dPaVqWNqg2qLtt3ive1XzFpmVpq1Y2dEzSwNWzlr3pxnVlllNYHrc3zOeWePqM2bN2ejt0xczgHiMHmVR2Y82X720dVXnSR5dtV1dx77nTOHohWjWpamZu1yeNast04ZqDkC+Kab7oyFzXv+2ZXfshwcUHPwtacee9K67fXXXx2MvQ8+fP9Dj58/Z7GF8rQffNM7uEbjlFPPsqSLXnlhjRUn1DxcJiefcU7H7KRzT4XgkAO/cO7Z5z386HPDal0tUxq0ZFYUFlraGVx/zTW978/63vLqorJj1rHur/505bkXnZ2SWdcsWYr/SDx1GcZYGRGt9FjNzILZYtO58159+mMf/XSnsDKZmiXthtgJFgsrUlCLab9PfLzPEQRo9D361EtlsGnTHmrmWY3dpP6BoZHBe6Y98oOzLx1MZoPPbL3+2heeefEd05780BGHPx1awcxGzBbqcV/68oL2YOy2bN7wRzbfesaM6Qed9PVgZiFaa+Ss73/tzzf/8swLv//Xpx9ZaHbHX5/fbocPn3PuqY8+de9wGopmc2fP+cyeexx+wOGL5y60VEZr3/3InQcec2Q0s8KsZRZNU1HEwa4t7lr39kef/PCB39KyE0NhZkktlGaxMBsM5exNNn4bMPGQfb96/BFHLVz4yL+decRvb/7DwmRz5yz69L98Oixuz7z/EQ/XN2Hq9bfdfc4FPw7JVE3NiiJY6Jq1LS3+0x//PQOYsrN/dGlLwyvzZn1mr08vbnW7ZoUVpt3yhZc3mbT8ZOZrb/rjkT/87vNm8196eo3lVuhDzRPOuvCsxd3yXVvu0JpdWDDT0AmlmmlZWGiZpW6wlIZ/94ufNACggcbyW+24Y9GZ+8QDt07I8lrzLdf/edqZF15cWjdaN6WkwaIWyaLZqOKmJdMiafs3V/8iq+WAI9R22H6Xbqd13R+vEoLjvH/ycvM6ncVlEaKGolSz4aITzUKrs/jl2V/45GfKkIpRteLCzKxraXFIi9W6v7/6502Cd4x8wpY77NHpdC44+XtNBvna/TOfGjKzNP/3V/88cx7kT7noomHrtuLcc876QU4CNE8797IRC7+85sf1BgToz5fbZof3lO1W55X5q/dPqAHv2X7rudadY3bFn26EZAScc84Pzdohdn71i9/k1OwHzjjt7K7Z7AVzVlqhAQZqNUxe8d7Hnwpmm7x9q2mPPx/NNC6y8tXTf/hlcag3BqY/9mqRLFr36j9c6jIwN84+/yedFLq26MSTv33mKWeljqVgat00/OoWb1tdgGxC38PPvTisdtXPrlpRGlORZWg8/PTsOclaZkU1dmuI1g1xJNmIWXnQAQc/PuPpUGhPTVstJovJkpVqhWr8Z5i+xrHMY1zb978KTUZVhSsWgLUXCFykwvmMkNi4KgNoBDB1aMSZFyPipABbgxOSwlwBSs4aCIBD4tKgjjJNgTmhsgokIedUC5UMIClB2oHEwtcCfF0hISi1OZtQAEHhGAwNVuRUdwmIaM2be8iRh158xb9TVksJOQOpA8mTcTKwgK0kgoITuJtCQ7wDUCaIwDiSGZMjkEXEQhWc1xM4qDo2ZwmqSR28KxSOoShqSaAGIjjEqMIZDElQGBxpDMNNnwNOlRkMwGiJBMI4lob15N3IevY+OERYC1bOmzN41LE/+NGll4mDpqKWMUClJSPOk7eYiCOcqDGImRBCoTDvainBOxShK75WKJhQp0UoAW4ml7UAASRanpSclAnCEFKUHXhfsh9W9EvMqqz2oMiySOgaHHkGoCAejlpkPIHVaxklT4FypyBSUDsiKJoWs7xXfjIiM6BMWrSMHnt26ORzfvrrM74WNJI4AKzKjBi6RCQu14JhYAe4liEl9HXAzQLskRLEwRQkaJchzzwryFCpFBsnkEbtCpOWOWU+AgwTCxqIMl8oHJeZKkoGPDilLHXgSshkHUKsgz0ISdTAFuABoGvOQHVLYAJSAe+DsuOSLCGy+bwDEFDXFmAWJbq6MjTCuejABIZCOQBMJqPWXQNFIwMI8ClBBFAYIlAym6WmCtopOpFMiU0hnADVlCmG5y868LDDLrz8Um7kAqoxlxacFcwoA4mrCwBNEOmAI9APIAUEjT5XgSLUEJEY4ruqYJfQrsE4grhphJJAiIIuqZINpACRsqprDTKQAVTClZWAJZAjOC0BB/NgLhQ5FcZ5AFiDg4LzloIYOaAhsPcJgBUZVfsQgFOqVTHAilLRIXhGo+doR9dUhRtVPKxZZC4QAJeHxAVzVuXQlSVcBsGwgRk5QBEiSBqMAyw55m4nHfWlE4479oQ11161EkkyiFnljg8MoIrpHB+oxvG/HOPavv9l/B3jvxGcc4bRxDGi0bJdRJZYTdRbyMgyJoSknCFyDmqoGghJFeSMfBEiMxv5EJdoJJnkCSSAaYnMw9UAdlBhQDy7RrcTKaHGIO2qjjioVa5BRSBxjb4ywgAnGlIHzsVAViID2EqjoEjJjIwHxMfukGmAc2DuhuiElLRTFkU3wjWVHSyRxhqDlWAeyMU5gxGjBBR5pFQNqwpS54hBCdqBEBK06WuIFkOIzNHsbwQ+RvtzPPhvFNbzOVUJAUu65fZb/9yoTbjwwst6cl6ahMRgRqCc4FnV2JgVCB3v2btamUAOEZb5jEwzgBRt9EUBqCOhbERQgnOkuZUCySAGhICMzTGMJgslSkUqoAxpovQCn5MJTBRsUOOM6wakBMkcwLGaPgO0MAdvquIQGZbBMksxWkmL5w2tv/o67377JhRHVOHElVYqQuBSjZ00ROqmkbOSc4UCZZN0oCxDDq2SYVTQTWakQMwzBULSElGrpyAZSkjiWkIumQRVAhhGBue8FcgYDAZLxXYhQuAc2oApA54qnTKNACAO8AqnVMXVVYka4mOMxAAyCwkUAKiBAVCOaOQcMwhwAgcHsKoCgXp6LEsFdxIRWHvyHgAArhSD/djNkItzAFUln1XN1DFDpNVp33b77cstt9yFF14ozAY4YqYM8JlvMrFV9BMhofRAskpDPHcMs+Sg0BrII0XHBgQHD2TEPe0iMhCUYMyeGOJAnAVNBVubUgA0UhbQF5EluEothh2IQRbVRKAcK6Ejxx7IoagDdYVo8A4MVY2eOMaU4LtoJGURIsAUZOyoweRAwTQhGTQDOUMMqUMEqKg5uDqieOY6QzUaR+RkXEZKOcMpXC+KEiZOSJj5pFNOmjhx4hVXXNFut02XhKBQj2KOM75xjOP1WBa1fatMVHpt9pcSzFSYYZaKUmp1NksGoZoDg1jASQ0CdlQqlJEAcGQiZikSkcB5SUHJk3MAYhVIpFwFGiu5AMoDPBkcIYTCiwNLVmNVSIJjgQLsujGSeBJMXGnKj358SWIyAKZCFBXsiIGkSKmTOVOIM08GTanma2COZZTM+7rrWrcg1+e9OAYQQEKeU4ApRFJSgaAbpO47MAUxoHAgJAoAKbgKWMscuqrCWq0lHPuWaS78RsUTxg2BGO0EJkRTIjYzMFWBX8utuOJzzz1jAiMIp7g3JgAA1KlJREFUowzdzOfD3XZeq4PMEBSR4JAAgakjiKllTGWAONJK0YvJgxbBM3KnBDhnEIdSu8JSWc1IlEghLpgTgBRJ2LuaFUyElJQRGW1AkPoZcNKM6BoAUhAjpowB8mBm14woiZ0BpJa4IBicN3VTll/9xWdfUqkZU1U8PSMfEUpLrio5bkjOhCIZoL3ayF6EkABOCmU4RymUzEymSibO9Za4lSEexhCGKhKxU5gApAbTqnR5VQ2apHqCqHrmPHrZFmDAIMKjmopayd3CwNzT72Un1bqQshymADyhRw+dr1K2q7yoXjAn0evv/6pgFNiQmBxQrSIBgJkNCvLEvSQRAjEAERB0NA18xVVXeWXuq0ZIo8kJvZySSh+jShx3pCg9nKEkIoivOiirhIYrkxpDkBIEYK7IT1IIc48RCcBVnxKDxSdEAilYqg5U5ABUjV2AKvVyW8hgRAZ1WNJ2AsiqK5CMvGMG4KRRlYZncmaJCAQ2coakSIwkDFIxEJEDgnMMKDNHyihR5WRigmNLMCNj4krpUshX63fi6jZVAo499tjjjv4qLIeBej27ZHw3mFnViHGMYxw9LIOWPx6zS9lSg7dbarvkucWolWuTauAMoQ0UIhQTjKkiRcNhhFjBS1L9itAyZvTGajZ26A3FKGOHHBmZGTQiheS9N8QyFmqpcrygiLAsFck5DwIyKAflmJAUCnKEzMHFhMBIDt7VoMZKbGIKdh5cQ0jOEzSWKJTEwcUyIAWLXRVKQEwe7BSRxZBKeI9RjRMHeJZO2eaMDcFS7NlFDDXiTM2iakohhJyYsHRQ9TjeDNTjglzRAQ3JCMxgRhnKzGeANWqNiBhtJFkQMFPP7kXea2KkNlPIyJhQxGhcEErEDiyyNILVAYaLhFbOZpXFDkoczGkCC0ETYCigCT6xIEE8E7qGFhDZgRmhhCUwiBwlNSUvKaKIABJ4JGkCMeAoOoqKGMElo1Q4V88suNawlS0oxIiQZZSHVIBAZMIcwUUR4QCHZMlICD5xCYmOVWPHO0FUBEClhOs6GSYdNgWLhm6GJBZTHGEEg5UpGBOYEaFaPXGjfW09JWIACd7A4ErTJ1WcxcAGB3AvAbtHCqonN8AM6pYkalMAKeDMwAZCIgqgStXXKdj+Rit86QdjNMmHYLyUEWqsxgvMjJcIhJhpT2CyshSTARDYaFpxbyUJQmKk0TMcs+pV7SMYyJjheJTngSMhAMZgMg/lin5WtvscyAEBJ0ISwAFU6YKDqtIEvf4DgZ2BzQDttYkBjmA17nUKgaAiSq8zLdBSxtClOudvBpHRvGmyXj9aJcgOY1TEGKMy2ZXicVXVZYmpD3+v6PrrjzKOcSzbWGZnbzYYlhqzK+VyJgaZliU0sUhRFmZIEfAOYlGLCARDK6BArHufEGBSdHrycHWfJU5mCeosZQlQBpExisxlITnAe0buNfMWUwlI5pywEEFDgs+RSHwDwBW/+vV5F5xFiJq6DiBwAEowQszEFJZgEQ7agDWgBEYklDEBgIVUDgrUgBSRuxyhdfyxR77w7AuFQj1Kg0GTdeE5Ret24IAnZzy+34EHlKF0uS+tJFAuzgzwgAPKkoKR5OQ9PKAFgNRbYY8PrG8IwmurjZkhhpGRkbe85a3OTT3rrIsy7wCEGE465cSLL7xIGI6kLIsUCjCCopNgBHEdhPmcWrGAuMzAqWxB40RyZUKZIXrACoSYlKOJEFhD1KjwERa19L4EDddQS0AQoAZoG0XLqQh8qVoALoNjz6oOFGHqRMmQu2goTL3kDItFB1aVhKRgoVMqC7RMUJOaY1IttAgAwGZekCTCxxDbHo7zRhTAqeoIM3UCwCYExMIRWQqqYFcX9hHoAlffeuM+hx2QEBo+087ITX+8ZlJjcib5HXfdbuKMRWOCh/RMbmM/x9ztDHgjNjLjOCrrYwms8AohmHEySkY9m5miCteTUTrV43k6ugoiJCAokoHwGtI3yj+1OpvX8z+AYWzWy0StCF9F+qDGIKsSw0mrvFS21zQIPVsXAAd4gZfqEL0qTRVZXNrDSbQk/ieCIigxQCpQDzAoApEAqcyQxg5UBXOWFQUUBtiBa5CsFxBYfV2g1bpEEzRBjQxEVQFIwMEcTEghOjo4WI+0kikqc+YSfqxL2kA9KldtsB41rNRTes0xUnACJVBkGIzGCu4sXW2nMgtjyQqfluHJbhzj+DtY9p6Hv1d/mKxXbg1AKMuU0g033MBMA339zYkrjrTac159dcrUKVm9Vq/lO+z8wcR4cMb0Q445IqkgWl4DzK679g9nnX2uUjBLZGyKaEgAo8PoGEoSr0CKpaYOkISIyGLJZakJSM5gJRyBNEYbGBgA2NQyyS3FZBrMogCaYJGsYJBBTPIQqFoRg0BO4K1sL3j75hs1fKNPmhef9yPTCHbtoTbKaMCgIbKJwZGHCWqU1UEKNoivOZ95IKfI6JYWymoqDAmi8ISU1ChGM3YxATbO/P4xqkmLRy0RqtrpdnfeZZfFQ/OPPOIA60XuWqNWi6lkq4UQN37b+gP1SX2uP6utNHHq2kOtofNP/+GU/C1T+vtXWHHK/OGRdknv2GKrCbUpzq04YcKUx5+cHnXo4UemUz7FuckT+wZenvmoA59+2nne9dUbjQ/svG0qZl//p5/3+f5mc3Kj0Tjz7FOR6UXnnl/LVyLpn7TCCgtHhpIGIoM5A4wQkO55bCbVc59Jf+a+dMgBGosbrr/eu6yW9eVZ/6UXXdCf8Xqrr3fJBReDafarLxz8iU//8dpr642Jtayvwdl555xXED3z6ktrrbpiM8+yvNZcYeVX58899tDDDth33+BAbfe+d27bWTxEbPsffqg0ai6v7/2F/VPFQqxs9jcsJpSJs8aOO+zUGn7+9JO/OTQy2NEwEgJnMibXrWMkCBV/op4f1sh6VMAYykZsYCM2qd42SkYYJRFLs61RSkK85EICS9vflvYeAGNhna8fV5kwqvZXWfh6NsdeMpBZry469wqkM6xXjB4KUqPUSxwywBysRsgYnkCgCFaI9rzkhB5NM8ejjA1Upc8sVWmyiiNBkrEtxDA4gwMMGqAFkMBQopQq0qYMoyoEsOrwBERGJANMGMJLu1Z7nuFEo6TMyEDKIIIQCZZYQqlHzqhih2Zk1rOWC4NFWcwxeJSpmrGSVal5rCAzWmLpIwCqPSmdpS7m+Eg1jnEshWWP/AGjnoLRYQcEopiiEKmpiMx65aUTTzyxaLc6nc7w4Ow8z/Ks+eEP7bl48aLhcuSmm35PAp/V213yXA8xptD1PsVUCuc8KiZE3OtcqpIl0BK0f3jSv3qfT+qbdP4ZZ0LLa/7w63PPvmyDDTf3WfPgLx1WoqOpte66azYajY98ZE8LxMnPfGBG0/X3N5oHH3FQiWLo1VkHfu7Tp3z/+zWhycu99ZWFJXJSQWU7dBRL7R509KFnnndW2WpbuzzyiP2nPza9r9H/85/8YouN3t5fbxz55SMT4n5779NHdZJsn4MO7qS43xf33XKLd15+6c8cT5jQrL/05P2nnP6NG+64uWTMm532/9wXYrHAMLjhJut5rk+duuojM58WgRvP6/iHUMBe4wVk57S69QhFAIHUYuazoaGh3GdIXoSeeOqxVmdky822nj3r1XkLnq41zAs/+egNC4Ze+Oq3v/zTn11B1Lzvvgd+f82PvnHq+YOL52+x9uTnH717h912f2ZRWBBbxaKFa6+04kUnnTrz6VfndMt2u7zlxuuEC+XW9847Z2Fr4fBI68hDDkbsmHN/nf7wSLLjvvaVK3/6Y0cGoAvrGhxzHVQ2G5/Zb59uOZw6IzY8dOdNN8UYz7vw0pFSW+32EQceJJ3Wh3fYoWh3UgrWcJll3WA/PP/cTncothedfda5195+1worvfWlF57+/jcPveb637w0d9bUySv2Sd8m62+4YFGXO+KLeirpc1/4/DqbrL84dluhc+nlP8oAoJ1zKoeGc/IwBxbNGtB2UQznjTpz7n2tcooSgcFU8aNR9lOFofFrb9El7y+B6dJvwYMErNxjOA6aw0R7YcKVZd0DHmSgQK8rH1c5H5d2Jr/mUKP6N2N/EHGVT2EVaTWFVaa0UWdyMkSQAjqWL0IGUoL2DIhAABJRIkjPfPmaY1ZnNcqcXvcWAKiNdYlBDBm0yoxd4kkHjKBASaSVD30JmQaUkJiSsBFZz0EbBbF337MtOdYoOV6yqedc7jWNCNAx8ycAMiJioCo5z6N7q/pCRi2EbK+by8gA1XG+N45xvAGWQfL3N+4YA8yqxGdVZZa+vr4XX3zxxRdfJDIoajWnsZtC6KUHVt4jzhV5BHw9k1wSoiLBV6OUGBkTpJezKwDYRh57/O5nnn8ims17dcEVl1368vNPFNr51nd+eNd9D85vt+5/+MGhoaED99/v4gsuLIrOlVf8UrK8W5QXXvCjshuKkc7aa651yx23NBr9N91425bv2CokO+74Y6dNf0gJGsFARlCNwrLWeuv+8te/YZ+DEKCbbLrx4KLF++27/0MPPby42z711BMZ8dJLLh1ph+5wq17PX3jp2fMvvuDuv9778b0/3w6Dg4sXr7LqCjUfA6fSUBQwIpJ06pk/POOs01MKg4vnrrf+einp6Lw5jjdGL5R/qfQiZiKKppLBuWqDhLL8xle/ftD+B8BAaqbRQvLIGkDToSbifFNdA+TMYe311s09PJNqO/b1C0Vo5/br/vjTK39BfeQZ4IQy/fxnvzrp1NOcQ5aAwkFZrQ1Gp2O5EFhQdsRTFLQAc9k6629Q+exEBGSGiFAawdhYCGTMXKtl4nm4NZRA4vKkyUwzl791hbfcccttXtTMIqgULq1QdE49/ZQrfnlNQgaO/f3sXFBD6iC3xrs22fTqq36GEVDKh9pFO6UvHniQQ5as4sTIwR/ZYecfX3ARkcGxGUgEVDZqLsZQWirNUlIAGpMBqWJ6PV6iBB6N0qtYhpAJGfeMSj2ywAqhXt7b2P3M1SMuo2FqBtczXpHCQCSoPMBLkkAAjA4or00kA5SWYmNVQsJrrFCjdHDsT3r9HjDmKB69oSqXdM+KaL2P8SiB1YoejhLW6iQdzI/6xquuIsAbkvXiBEdbYUam3swrRKFEylC2RL1YmQSAqrGNYJXv20MdGVPV29VmVElHvR4dre3CPXtp7zMY671R9ll5YFRROYhfA7aeS5jABoG50Z4Z/eBoSOWolXbMEPtaMaJxjGOZx7JH/sYiq3v/9rYxscG8OKQ0dbnln3pi5h577JFn2S033qVFN/fpT7/79aSBSQPNSdvvsosBnW7B4qo8xDLGAKKMRsqFHqUCCWQKMRAqr1RAOXLDH3730X/5eKnI69l3vnrMrBeeEZ999+QfcpPF4Y477q3nfVMnrPDe97xfAPbU1fKFV54//+IL8prUsvp3vvptjj508d737bL9LnuMxPKoY4/Y8f3vkjJ4hnUKCBFZRPzqMV/bZcfdiWWnXXcf1hg1iQesoEwcoR+1Oty1v/vtcn3ZpP7G5Rdd2i5TFEHuWcwzECPYaVAPVyi0YQEdYdl5+9122eVfzrv48mhwipy5F/Q3jjdBlUozeptVaReVgScEBEW36ALwWZY09UonMhl58jnKbk1BbVjQoZHOOhtsw/WV2fdtv937YujABVCK1IkWUfLTT7701pVXKlpz1lx98oCv3XTtrSuvuaF3uOGa6wbyqStPWhNdEdA3jjhk5RVWympTzjn3PAjK1uJ3bLLZCo269fVvtcOOg60EA5chQwSCeXHd8oofXdQ3oY983yZbvfs979+OmU447ti+vO68nHnR+V1GFP7wh/e86XfX0OIFmlkwKgqC1LierbTaCgIKZUKydjFo2q0TOIFMtnz7O557fCYiVHjmM09NXX5KPzdO++GpE2rL77z9HmUEg3OIaQSbiRKnmFrotoAIJkfOEQkxFCwCQDGaAWFV4kGlPmhERL24MQFk9INjCR08KtSmwJhYdcUqQGSgUIX8AQAEZEt9rHIcE6D0GnNiteuKfY0yvzcxk/cIYeXp7ZFBIhtlftVpE4EqMkc9wqNEpL0PVVFyUOho0b4e6dTqPM33DlXlZ1AyVNlqtISujvHKXuBj7z1Fb6dEvYC+igErnJIzclWQpArARqPmV4F6BKBiclVcCvVsfjR2YmMY3UK9Y/cI3egwPeoEr3qWAQYJqKpRKD0/8msuQEUvycZiH8fdFOMYx1JYFifvHvsbiwgZ04CssuxEAFCWPfrooyMjI7/46a/v+vMdoRz6yEd2bQ2PDA+NXHft9QTU63X2UiQFEbs64FUsayjQUlhQUKpKTARFkVDCSyOrk9SiAtpt5hrKLnFjsBzxOToGBqUCC2YtQJeoClDycaizeN/99y6Ksux22kPtXbbbkdUr+bYiOBKooOMEKANlOQhlDBkyM/rgHntGs++c8q877fHhGCOsdD4ZxW4JARbOW/jVE459cdaz7c7Ifp/fh5AV4AKBOFEEMkFpzpo1ysWh9O3oIhJvsvFWIVnfchPrdbn7z9cvKUcxjjfB6N3VmzyJQCwiqgrAOzjnzBQ2Wn/WSjNiqlkZc2ccIwPMtbzWd/8jf5k2ffpfH5wJIPMJOkJkrMO5yyH9q6+3+SsvPr/mgH/5yXtPOfVbqW/Sy/MGqeh8dNcdW4PzV1trk6CZS3bGD/9tcGj2q50FXzz8SxDrz+jRv/757scevXf6IyNA3ucR4eAkdgnaQtlvduD++y9atKir4QsHH9KFEdlpP/xBKDvtbvegg47QWt5KRt6vt9qar858oqCuEZqNyRHU0vZzLz39ji3fnjuBzxMs95wCMgc2CPFO733/HXc+AMdvWW3lWbNmMfCNo4+d9eQra6y6niYIsgQIuwQkaNSu54SagExECos9e2qZAERogqWxhImlXaRL0wwbDQqEYtTZuZRHMvaMVUtWhwEUaexzVuVJlKMf642fr68kR0t8mm9yY/zthtFPL/0tJpIlTBXaO8lexnHPVNmzb9rYj9E29l5Lj/NVG3U0+kVfw/yqL9JrTGkySmGV4KA02jkGMrASJUaUMUKtqAyr+hqT52vxmgYu3d1LRe4tlQ9NahhLgR7jf2OpHKPm0n84HI3zv3GMYxTLCPlbahwkIiIHcwARjMwksSMyY2NNZoZEZCLRs6vVVtl6zVZo9UWfdSJRqERPPID2/GaYPwmRIjoJXbCVcaCdFPXCqGR0MxRSBjDQx1geccpKK6x55c9+6h0C/HHfOnHtdTZAdzj1uZAwhdAsugPUnTbzvifmvvz8wnjAoV+Rdr7ucqvcd+MtI4uGIiE4dIAhb4GRJUxIvgEnWgMEmS81xqg1n5Mqa+TQES3WWGn59Qe2LIJps7PcBlOff3mWMQaBNuuWW72vXlth7qL2L2++riTrB202YeKE2c+3IwKaVl95rQ02f/S++yYrvn/Ct59/eTDmjUTtFBZ+as+P/OrXd9z/6JzCIfnO/+0r+/88JJIUwh1K2qurpl2PmHPWLRCBKGoQpMyQF8jBQbgNdIw0RS4VqYH5snBR38K+nDZ+ywart/JXHn+ugMD68taElVsxlVzky225866f+uDHeG7My7e0qRmm6k6fefdBh+/nnQPArgAs48ndBoqUckVNCeXUQicib6y7+uqTElrPzckTjDspKwtXVzT7UnMR2aIEcwMKlwE1DVnRmugJqawJRcQInzhLio9+5mMnn31S8Oww4hfMmVygmLXKEYecuO32mzl+EWFwcrlWeHWVLCEq2jLY8SPbfnCHq2/65eLFz68yJVt5ILvgzBOVELy2NUGQIurmXIpezYEcHJCpTCqCr3d1cpKM0CGUDQqUvLqmUk1BEFBm5A2q3LN0jTptKweggD1YKorTK2wCAB7UlMoFzD0nKpADfYBzgPT20gSaDq4y+vWMcmNfWPpVOVurmjLA2OF6FGVJXmrvRUuC8nipl0fViNF9Um+fvsrDF3iBJ7iqdQ5M8FXxFoFzYFnq6L0oRjSBOgFZ71+H0a+DAXJADvilcnC9IJee69SNhTNXkY/V9uqEpGpyb1ceaFbNl6WbRg5w9JoIRA/4sS3Ua4LvnTMRQ2gstXmpDJGK741xwaV63hNyghu7OlRdnWVkuhvHOP4DWEafhp4C3ujvCizCIimlJ554Isuzms+dyGPTHtp19z0Kcjfd+ZdaPmEgy3ff+YOxiLUsv+zCy8TneVbfaftdTFOz3nfwEd/O6xMHGs1DDjgiKYSFIGUMZgRf+9DHP73ZZpvVfSNvNE8+9cyVVl7V+8yVZU0QkiHL4Cf87MrfbrD+2uuts8JPLzs79zJh0lt+eOoFk1dcod7on9i/3HNPvGBUZrkQW4gRQEhltezPMsfMplR2iwP3PbCvuVzu62utuf63v358s9mM4Pe8d7sP7LLTcv1TvvKlYyYOTEjEfZMm/cvHP3HEYYfVHVNKA5MmUr0x0GxOmjTp8cefevtmW5555pm59+/cctPVV1+1KMKZZ5zb3z+lltVPPOl7Bx+yt/XmsnH8QzBMkmovtgpiSgRtNisPF6nqksxHZ9EyRc6+rnWmulqZ+tGcRMstHi7hwsFHH3j4wQeWrc76G2226177HXb0IZMmTZzxyIwtN33nFb/8zdSVV+rr7zvu6C8X7e4Rhx2XN5o+q+V9tWefeyoZj3TphMOOXL5eX3HC8heeexFyTpmYsADHHnz4fnt/rpdlCiljYEAJDaaGeOlFyDljjRIP+9KX61meu/5LLrqEYiESKENjxRXe9b6dZ7+0KJPsuK9+iRoTV1p90h033/K2VdYfHkxrrbbBUd/49ic/vftblt9wcEST1LvR+sXv+sEPPPfyi83+iRecf+mFF1xWz+urrLzcq68+Y4rMVd2Vw5wqgTmUHXaZc05VmUnTEgkH4nGrzjjGMY5x/EexjGj7Lu33YVCvtkLlIumVniJKMTIzMYcQxLvKvRDAXHYzEZAlGHMe1JQpQgXIlNmQgC5KT5r1SqPWqoncTI1AYG8RoWNkhdSIsxxAaEOgRIHqAJJpZuaiQRxESyjDsYIiyMGArpoTEoBTEQ3mPBHUQkZiqiHC+QxAKDt5xlAF+1CyeKaAmGlJ8wiUYyrAISEXJWMYCgAMhjlTIlILiXKk0lOCGcR3gjmfMUBWMJmBh7vq8poQrNrP/8r74f8cFKGy+FhiEgAtDcNz5wwed8KJ5/zoUnPmrNPnHZAZoQBUB3NuMlzoaCYMB4tKVYJjFY7ps6CRxRFSDN3k+2sAEmJCSNFTx2cENXP9QxHeoQ4lTQjRyCijYXCOPFPETqRaAbGRFOoySQBJABScipicryVNZMnEOeOyVAW7HIrBGgwpQ2pU9YmIVUwsqnAX0kU5SYXaAoXWDT4yBEXZzmqRwBYy1Uw8YjSXmabAIYdAuRtikWf9MFZDEhjUQjfnHCZqMAFzh9CBDZ966vkbbbLNe7fbzXtWICGwwZNjHTMKRYMBor2wv3GMYxzj+CfBUtFq49q+/3mM5dMtHSeSUiJmTcl7D0BTVCiZweUQn0yYHEFZg9NQA3tw0ASBCGokAg/KmDyrecCiGkFVPQBzcHXyDWFPQNQUk4EyU8ehQNKMGMzmkqURmLG5FKsQpHaykBiZIwfjVMCx82JIyRITJyRi9t6nBCPked2SQqEh+Yy15zAiQdOhllK3CpqCkRpiFbiT4EzJNGrqEMUUnDhQBq4B4j0BIVnBJJqE4Jq1mhAIYLIYl9H75z8OBQwOlTwVFDCGr/nGjTdcP3FgwmWXXJpndRBp6FRvN7hhcKVC6qwCM5BnYwE7LRVCSjEIdQ0Kl7l6lXJEat4hqzv4HAyomqLmYAZFiNpCzoldCFkDuTOEEF2DIFmCb0jTISEotBI787mvEcyzsDgXmQ21TBu5AhAMKGpmBqfiK4kzgik7iuIL1MCjimYgJQWXKEPuG4b+TnTkRHItUKYMqsyW97yOInneTGWJZCyI2gE6mQdiiSo2l9GK5VV/uNq71b9ywonO9dIXgiYPcUsH+9tY4d/xm3Mc4xjHOP4+lj1t36V0f4x65M/MNKUsz2MIzvsqGN+JK1Lw4kJEV1PuxDQmUxIGwJaICI4LVSg5quRzYSpChqjecQTACEXpSQBWx8RIWjLE1ZopJREnEg3cLa2eGdBFhp6t1SGmmGem2oERk4MlcEyFSJ5pSlXQEYPUNCkqOWGDalWZwdVTFSPtEFNMnBrELAaLITIA70gDqjk0RWNSExJkXlQNoRNr9Vw1MiNB2ZDUhH0IgT0ECCll4mU84eMfg5KNZjAikRm52sSJ9VmzXlLHAQgxkgWXSWmByKNgcUiC0pAzkJAUUSAAZwxCUDV2QoRYQg2ZRIuZl5Hhot5fI8liLF2WpRAcewSTjAshhYqrOwMClBLlKJCgmpOkMnDO5gCwlYmYIRRj8JkLZZG5usbALqVSXdZQIsCTE1WNRkZwlWaqAuQUSNyFIodLcK0Uc3EIBTQy1byrBYNZYawEI/PokNYpBM0ySlpK7jWqQoxdQpGBwZRKlTonwDu/5x4fD+UHIU2gbuAiwYskC6aaiTNiGvf9jmMc4xjHfwDL4uK4MvuNMb8qbkhEYgiuolBmRBRiyMXHBO/hGGSJmaPCyBmJaQTUUiBmdqMFSWMgAmKCaQoxWRKwzzKwVALryYJjNjY1xKgAkmlMse6pO9RGqsGyZFEZCQBbSmCqU6IUI7EpRfE1U2b2BDZQUjMlYQcgqAIqwiQApRALZiSCEDepYWUXsQNK5tgcJ1PnI1uli+pYPIEUsYwlE9fqedEtmZ2qMlhYRASA915TNKgXHqtgMo43QRpVdKgwmmcOYdYEBjLnnPdJk1YVhE3IjBGYNEaz0TJ0ZWoF6gSNTJkfi5l3MQcJeUOq97ElMwCur5PYeZ9aRe4IIKU8QgxI3Spwg9qwEpozECHqoC4QJVJwgCYYMp9pslqWRwZnAmSwmiUQELRMZsoOTEpmCCF2QcSBavAFQ5x5dJGKXGoFHDIHlECHFEFRIgfyoCVRQq2nWGaIzCVQsqOOIsJHeIMzQGoMoCy6WRW7L41UKoBq+VOtPrz4JSb8pYouL4uj2zjGMY5x/Aew7A2PPf3vvykMQNRjfqpMpKre+RBDpWCeigA1gJ3zrRBLsyRSxgB2BIQIEsAMjmAKEYBEJIXRGqdVdbdUVmF7DkxIeS6q0SgjcWqoNfqgOULGRAEjv73+F5f/+FKxGrrEIiwakYwyBBBgVeVoozFaZgbHrFYlNdsjjzw0adKE62+4JVjXs1BUEYdUXP3bq8++6CfthIQEBKLIBidIBjUVoOZqRVmAkNcyVa381JoMQEplSsGLY4NACEbL3u3znwVVdeZ6yYhCREipNTy86ltXq9X6zz334pBSTAks0aytCQRwJO1qOZg5YgEiJFgD5mL0zAKYIgaEFIFEEQYUltQKJ2VULYBCcjXNckFRlCUYNTWzqOKBVCizwTt4pIByBOJiRKvkBDaJ8BFADCAVRFXrRCvLMknGJggaHYPJCOgWYDCg3gGqWhgFOLiEACsySpnBgC48vCC1hQIYSugGanIdlIxalpBnDMQFC+essNwkEjn0mBMWByjyCCafpRQNVh+lsTAnWR3oRawwQMZLipssYX7jt+Y4xjGOcbwhlt0hckkVKZiZpZRAVNn8APzxj38UllqtttLyK7SH20MLB1dZeXUiyev13T+wWzfE+2c+ue8RxyRiAXIHBq741RXnnnsOEAEzFiOqZ96QkgZQBBXOWUIISGqREC22EooABEWMPbcgxAAwHJlrt9sgqzzzZSIgCxB4qFrmAEA1wsxUCXAEMzA5M7ZEG22wyfBQZ8cdt/dUFQATlAUYxGaQQlFYAoJaAEAGAXsSg5ohc97MqiILMQSGMLOqinPMbGZCDlXGzLjp7x9BwI7UDClVxSkcKJWhu83W2wwNDh9+2H4ixCIPPjy9f8KULx13TCkFGPNfnbPp2ms3maZOaAy2W0ZkXX7fRltO4TxztLjoBA91bv+99qv7fOKE5YeHCkd4dMZ99X7Z65AjgkKMURQH7L9frTnQrPfNfvp5T5xK3ffw/b3kE+uTX3rqeaQEh43WXbvemLrayuvNW7CIGH+89hpy1GhM+NGPfozkFs0ZXvkty/dPyqThHnni5UDu6j9eL1nNCX14jx27RVTNYA5Ihx1y4I7b7R7bQwb53imnZ3mz4WoXnnupMr/w6py11lwn52zqhBWefXp2nydK+tDDD3FfX1arX3TRxappysRJs2bN+usj09tBzaEAFGLG7BwRwRQpMFdFRbgKzBAgxCQs8tqF3PhNOY5xjGMcb45ll/yNWf4INJb7EkIAMH369LPPPrvb7RSd7qKFr/Y364h4//Y7LRgcKjudW264Ps+yNrth8RGgBGcJCPWBhrFAUmmpmwCCqRJIhSCKchgozjzzjIavZz6/7LwzSOK11/3utNMu23Cj99SaUw86+GD4buwsWHed9fuy5T/9oS/knMU0+MiMe0io3hjY98AjDNngvFf23usT3/r2N7zQW1acOjS8iMjMFL1Kr0zwjz/2VJY1J/RPefqJlwVmZUK0TdffcHLzrXvu+ZmgyQBjKaEg6gVsKQBjcGWpQqVjhaoEsWHM0tJDpWeg41rp/xAMBiIsCsOMkVJVNLhea6aIBBjswWmPnH/R5Zf99KdqBqel6fe/+2+333hza+ilJ5964MQz/m2EsO9+R5914nkLhhb+/rdXHHbC4Qu13G+/w/b7zP6ldgYXzp1Qn/DME0+ffua/Xv6by0PGIQABF55x+ju23nq4aD9wz/1f2ucAtEfOOuvMt229TScW0++6+6j9DkCRDjrgwNMuuqBVzL/84ku+85XvdTp63U3Xj5QLn3l+5kknnrJ4YbnShOXnzHq51XnmrgduPuhLRw+O4AO7fSSV8y29tOvO7778R5cgimn2h2t+v8HG6220+foN1vseePjJWYsXt1qhs4jT0NPPPz9xxTWffH5+EezeO+468Auf0aIzY9r9x3/l6/PaFlLni/vtJ5wTxFRjSom4VMiYllkVXWAE8aMyZczM1a2XO+Gq7q8ZkWFUNBdL1dEb1fR5/d//JzFWT+q/8MX/ifP534jXXcf/uyczjnH8b8eyS/4qVCrkRkgpAciyDETLL7/84zNnPvPMM957IFjR6as3iKTRbCY1YQpAl5ka/QawwUIBaNAYEC112HnKEBVJgyKWmpJF+DTjwXuffPLJwaJMobjg3DOenvEwLHzvX0/+8113zV88/6FpDw8vmn/kkYdfcP75ZTH0q6t+b0bO8WWXXdIqRoY7nXU32OzaG++Mqbzzrju22+59MYUvH3/cvff8BUnJYKM1z2JRbLDRxjHY5/b6vJNaCh1m3n+fAy+5+CcLR2Zdfc3PwGoOCk4QHSuOaokMDEeI6M27VUCkEhJIzUiNASEokAAdkzcYx5uAAIIxG48paZmqxk6nyHOYgWBv22ij8887J6/1dUPhwakbfVYf7nTQyO67/y/33Hfvi68s7lC++c47I4QTTjh+7jMvtOcNr7zi6u/aeSdYxP/H3n/H21JUaeP4s9aq6u69zzk3cslKkhxUHCMKKqiMzuikd0bHhASJgqCOaYLzNY0oqORkwoQYUIJIDmZBwiXnzA3ccNLeu7ur1lq/P/pcZBQd5/3NjO98ZH3254S9d3dXV3WtWrXC8zhiwDO23Oq0047nylCEEIA2n/2Nr//t61/vwAnHnnT7L29s1qz+9je/+trXvyklHP+pTyz9+S/uufvBta296JUvrw3vOvKdj9y/nLT32U+fUEQs2qi/yWZPAxdQQNWz93pjW229JUcEQkp5OJiZP6+/9Tabt4Ybb7rz/B9cdsjh72h1Bsn7vfkpEwLgo1NO+Mz99zxQZ6pdQGBtn7vjjkWQn/74R0cfc6wBTYIxzBksgRBESLgQcAeH2HXiXLmMOMq5Pp0jzLV1nfzETYg9sfPxhNL+P6A8gbT3ccD53/fA/9aG/S+Sp7riv1yesqH/mOWPev12uK3bUIYQ0AV/gfXXX/+BBx74m7/5mxDCRVdcSlXRzExeefH3ezH2+uN/8sIXJ6CoyqaezQYQKJYZ1KS6X4Ts2TrjibvMQg4cWQip+fGPrvyrv/6LwKwpHf1vH1u18tG2rd//L/8ysQBlhZ/++KcTExtWxcKXvOQlrbnxMKV08413n3Lcl8bLiYn++D+9992x10+tvnSPlz33uc8fNc0/vPu9e+65F5iJOWfrQKtDWUJVU1NEqYfTEE9tu3Bi8Z+8aE8kj2XZepOsA6gpGDJHlS4GUHCA9Fe9AyJ3UEZnpfyKgynB17FgPWnH/lfrlP8+JfXbzvyk7//fNMMdvo6GyztKerBQb6zftmBAkYVZFaltWaAJvWrsbW9723a7voiLDS6+6qcbL9pI6jZxPv28b/Fmm5z59e80D05N3vrAypWP/dUBB/akXLJki+lZAMbI7WAkJMMaEC4rvuHGayfGN3r9373l7/76jatWrihiuuvmO+bNm/f6N/39G978lplhy6E669vfnL9w/IILz59cvSYPGgY1eXDhxd9/zV/9xdhCAKuvvPDifnzG7s/7s6M/8pF+CbWZww95xwaLdvjFL27d85WvSEU66Ysnf/qEE5yYiJx722+7E7ejiXJs8XqL/+b1bwKNlREXX3JxDPSy3Xf/2L98NE2Pbr/zrptuvnmDeYur/oYnn/Z1I0aqSSBQy5ryHBb249sQB5sH7bpzjjHPaI48t4unPxHR79fV2q+gndb5Bf8fkN/X/vvDyn+Tr/T/bn49cRz/y5v0lPwP2IJPmZv/78gftfHXad/H9YiqSght03T67obrr5+ZmTnzG9+68pKLo+S993xJ3Qymh4Mf/vRHAHQwPcZaEcygJA0wMTau9WwMlXX1vg4WMZhCCQKSlLQrVJQQNDuci6KgAsMGUcCGtQ+vnp4cJvPETet11e8H9PZ98/6WbVjPrhlN7vbiXfu9hUkjU1XEMTWSUIAFjhCYGe6K3CA4cSbOEgwcpqanJydnkARUTQ1nEakQCBA9sLERlBIoAwwDfI72dM7rQr/yUjit8111b/72efxfrpr/B3T9ry1yT3rF/9tmcKf0OsgXEIGprmsRECGAO8DuKgZLGbGsm3qXZ++oNltr/a73fnTbrXZYMl7+6MoLLvnhZWtn0lZbP2f35798IlRnf+usoz78/lHy40868YwvfQEFa2MLywXUUtnDKA0mpx77xIf/dfWKZbu/9E+KeQvXW3/xzOTyf/vge2ampl76p6/wsfGiipdfdMHPrv7R2tnZJU/fcIddtptYPA7Vqy794QUXXH7YEW/PDFTppa94RWp82T3L//Y1r6vXLBOdPuW0k2ZG7YGHvnf/I4789gXfOf3kz0ws6FVl/3OnfrVavOGdt93+tVNP9tHa1ZMz4+tt+vTNtoTitX/68tFwevnyx17753+dlaanJ6+84rI1s6tXTy4//YwvTk7NIArybAhGRMwQgN2ADFJQAlnncKa5h7DDqfwV3+u/F/uNP/6n5fdb5P4X2H//Tebyf+n8ekr+L+XXOvx/oP+fGuL/d+SP2vijdYZMV7sgIWjORVmKiIgwc1VVW263c4aXvZDSjGkjjFEGOeYHLpqZigBGbahbb0ajXiBDcHghSMkcoqAAMXPE/uZbbnvhhRcKMBoOP/CP/7Lp07ciD2UPTLAMMCbmlbfcesP9Dz48OdkecNARdaMbbLjwZz+9cmrlajGUjGzeJHNjdWaGQVQdztnMCSmpeUJ0WMvBh6PJsgoNfOGSJTfedNOj9z84nBm+84h3u2YAESATeBcxNu/Y3IGOCNUen6HOXXj334XZOgRd/j2Y1J8Sog6YxXwuWA4nU3fXIkATGNQ0o16k4WB6vQULRwBXBShr23ii3V/8que/aLeFi/t/+9o9P3jggX3HJZf8cEVTL9x6k0PeedBOT38agBWPLdtm+y0dCMX8NK1F8gD05lVv2fct//TB980bwy23r7zmllvKJYv23e8tH3rv4UWgn95w/8+X3rb19lu/6f+87siDDobhkit+LH14s+qUzx573jmXfvqY00BQBmgcMUBSIdDpekIWlFwBrVMr1VjS6s/+/G9mm+Fg8FiuR/u+6e2PDdfsvNN2GCWk+L1zL/3ued/fbItFPXH2JsRe3XgGcfDnPm/Xdx7+jh4wM4Ntt9muV1bQGmWZUspmum67AWCOiKejnfuV+Fzw1P6dlbXOLbiu+PcPJ79tkftDJR3+75Lfp4vW9aT9J19PyX+ZPPUk/++Wwy9414EXH3bgxYf9wzkfWOtrLau7J8/m6upu7q7qptbNNfX/laK/es3diJt7nnupes65dcvu6pZvvOG6IBSEYuA3HPoOc1374J1brDcWBIjlc/d6zVr1n914rRQggELvOS955cD9u+d9q8Icc/xb9jtw0OrItfY8aGq3ZIM1nqY/9smPglEWdNUPzvF69bnnfO1fjz9+1n1m5K7u7dTSa66CBMzb5MIf3fypz57oeeai734jAEAVJxYsveeORx9Y/ta3vH2UfXKkjbm5p5RUPblnd7Xabfqcb36hEDADodztFS+enB3dcv1d81As7pWXXX350Wd8flXyZO7ZXC25td6YD91V1V0bt5zcU9dZ1ro1Zrk1b8xT15mW3JK759+j6+035Em/87sP/78Y8t/zDI9/pKr//1zot92daur+6Lq09Vm1VSseufvNr3/LzIwnc7VmcvWjG6y/CAWjYlQLlt51+wXnfa0HVFxcdtnPZ1o3b9c8dM+2663fQ7XHy/5i0n2Z1d/8/neDAMD+B79jNtvKlQ9usLhkAcoFPL7+bbcu9dHynbbehGhsYt5Wq5YPPQ9teN8O22zMRa9YtOXDK2tXXfXgHVs8bVPEec99+Wtm2+FjK+7caEk/hCKMLYEUx5163A033C2CgrCgivffttJb/+wnPl4yOOJFr/jTR2tf5T7jg2wz3ujhB/zDrA8Ho9lnbrNjhWKvl716qD6ZRr+86adEKKic6G18xy0Pea51tGKHbbcUGQvF05besaLNjdtyH959zdJf/OW7/umW5GvdXWu3ZO7qrfvIzJJ718HmI/MZ95GreXbTbgiyeqvemmUzM8tu7eMj8muj8zuexv/U+P5nv2aW//3rv+a0/+Xye17r97jf3/rp79AJv/nmb46jmXUK6z/5+o/v90kb1v37uJb47x6O32fEn/iF/7D9v3nsk57ndzfj145S/V39+aTyO27nKfk9xdyts1RMP/aVo1f5Y7UPuuV7Xf+qu5prdjf1B+954KF77nvwwfsfWP7Ao48+unz58pUrV65ateqPi9vX3QlzuBA+R73lgDHgaiLSpf1JCL7uMR2EooIVOoSQmrQeWcTNKjZoCykywiijDChgyMNGxmAehA3IMDPtcyQzZEVBChgsgpFzF/5LRGoSmEmVvaYQHOXQQEBBCEhwtJliEdyye+NacZTc1WO4B3IG52wUuGnaqoDMXSSAy1ZB4g5iIDi8HlA11joUKAkMNXcnFijgmSRBeupgywTv/HvGAJyQSRUQUPA5HoXuzbiOJMb//S7wvwoIxteB7/zayZ/0igDM5mqQH29A9/O3ncTMOvya7sCuqPnxi/pvBIJ/z5t6/HLZEiESoNzF0mtBXrNs7Tvf+YHPnfnVWIA8k43AnLhIiCUAdeEGrpZZKXCMgow2gwooDSihDIAVlqLFOpggxi6izObAqPV+FGgGRkrMMtZmFAJC6z5t6IP7dUbJCF1NuqYkQBBHFlhWj9KzDrPSG0NJlkRGQNS2B4cUAGqQtIi1ohRwRsTjtS0pOYQiJTDBDSgsowkIOXEMkjMELQkB7uCsQYEqGtrVqAfXPLj2w1/8zr996sMbAAu9YS+cCHDyIUiMShiBnTBCl01hva4yyanjUjEA5AwwKMPMEbvA5RMfg25qP/GR+N3RqCcd9Cce8vs/6u7674/lJ57N3fHv3elEv3IWPmmDf/8H8je/+Tsm6eP98zsu9Juz4/eXbrr92lHu/vgE/M0LPXEcHz+JyH9CzxCR+3+inU98SJ44Cr/2OOH3GI5fa/mv/fv434/3iZn9h+f/zf5/oo7qGvx7Mrg+qZr93V/73ef/HYPy+8+7p+RJ5Slu3/+0PInymkOTcHcXEc3ZzCQET7lDf5EQSsCAloNDzKwSCkBJDjVwbOoWQC+A53LRxY0KYXbPmggsHDRnOCHEplHHujnPERSgFJEDta23KoIw5lq6WcWI7EJQjU5RigAYoxFYiCBCcnU4kWdrO8gVAsqyYCpycijBqQMMDqAMtEAipaqEImRUAIBMpgzqrF8nB1pg3dqjQFf5Qd26SsC6wC/BCUZmOVv7xL791dbE7NeU1H8ov2PUfschv/ujx7/wazvO3zzzE9/5zdv5Dxv5xGN/7d9ukhkhG7RjzwA58dU/vLI/1vv0p4/3br1nJ2jSRoYQIyg5CxUIMQkSEiAVGF55VXrpwzG0EQJ4i9aR0AIJWVnB/cLRtiA2CyxFa20IMIcTK0flfkZTSQ6YK0ShGIvQCKYInlFBeslyoEye2GTQGEv0VMGjFMaltVldK9MI076k4DlSh24JpxFpBDBC1ghol1fBhKKFcsyGNkTAC+QIMHEdxcuIenbUrJrddqvtn/fcF9aaHMhIBgVIHW4Ec3hLGK2r9vgPh8CedGR/x5D9jpHFk2qP3/5g+G/3vjzxnF07/31jHl9Z516/2ZJfu/qTtudJP/3NNv+O2/9th9MThJmfUMX8u87zm/J4t+AJ27DO4sG/n4m/9v6T/vwdF/ot3f57Cf12+c2e/G1j8Wstf9JbeNLWPmmDn/Rrj7f2iX/87pv9zZb/Pt//tTv6HYf8jn574tA/JX9A+SPh9l1HIgU4GQEwJ7AQiAgW1D0L5RAYKJyJApJmZIsxYU0Pi1qtLJiFpMpFAwrSaCp7Hos+G5RhUqtBvFdluOUcLYoEA5QQglNuLUlkcncKQ+SSSxkBEFAMgLA2zQyKvkPQudZshgQSeq6RAGJGrkCiBMB6lBkGJVCEcRCYZYYRB/eeCxHANmLKmsYkEMjVRpEiiE1VYiBPQpTAiUm8DkSxDfNZXFSThciuIwoMF3BFQF1rqKIDTkrSAlm87KFf+6ikHpSInGTkmknmJ0NS5TAIUEYBVCBpElhQ8MC9MhcYRNA0w6KqsjMUgWBQUGZ2MwhFMxGW2i2T9iiKoU2IJchbmMNEQ6gJDIQ2FyG4Y5XIfKBKDnYIkjtEGGgdkZBrhAItAUBUSAPpixtAADtTY2pC4ww2hQtl85IYCYAjkGXlOASPtQ0VgaApcWOhZyY9JzSGfs5IhCgWYAQFRAgaghOxI3AW9rRkyYK7HrkdNIEMdoCieaMEFtf+SDKDAjkyUQKCc2QDJ4M7AoO7PNWWihRQaizYUMyCiNCDMdjbcqQgSFF5LAkNMOKm56HM8xGgWYgdYhYd7NlzREkaC48gjCxzDEOkSB7Yx2MwwKMxkLPHEDlqRmsaSpKchKInNosohF2ZZJY19KTKnqxwtgKGoCxRDGYkCk9FS970LGIUBz0iDHpjRr0N71gxagktwZD7AGsDaQIVhn6y8cjwdq0W/QCnHJ2DMxnn3DZlrMiphREVribqgZhIPMA1qYkEZnLVWRECiDwQSs9IAjAUGmEBAuM5gKO5KIfBOw+7E9idiTmZMktet7dmcAFQ3SAykLLEFggUoyvBQRg6g5gBNFpFhyUPXYGVI3lfek6oHcxg5KgGRMxZU0lTjeDIrHEcBDawI2cPhRpazRbDeDIYEDgLHC1ZmU09cOh2gBA2wkxqyqIIcLe2oyxXCoGiAoXWLNmB1li4D4epRiFhQYOOUa/ObaiKzhNVtKkh91gYUuXOKOo6x15ggNoMDyAAGUVQoDH0OLUwoHDligCHKkSMBSCrnYhC6aDkEjgJUgKHVm1UyHy0oIKcBwS3xBSLGk1AYC1JQQWNeHUPCwGklGKMDnaHAkxQT5Eo5VSEUtOcigSQhNyU0AqcjCiUALeemEiRI8QTiQTAQSl7IzpB0m189XE2UHUTYU3gIHBozhI5NTkWBeky5X7iBdaij84XDhc1bYPEhtCa9SkENzSgGJQtuQUJYW7zbR5bJXMOnqMQwGjRCDxA0ArLENzXxBKRFBzgSIAaWgGrB9FKCOQkoXWfrGmhQABnEzZhhjuStlKEjFRAGECbUIYETmBy9AxoshdhJsCBiLoPoRSRATIUqkjKRRIK4AQrAVYFuXoWKXNLIQgYLbogk0ri4BEcAIIQE5t3DotfsSo8Jf/z8kfk+ft38ptBQEMAC9hz26mJEKPBgHKQ2hi6AgdEydyDuZe9ylCwAwnajAJIuOjQySgEdhYIABBM1UHMEliEuAQFCwpYAARu2QWJJJQ9ImIDE0ZJScpsbm0mAgkUhigwMGOdX407VhLAVZWZ1c0MsSAYVOcUg3guQZYZKEBmMpJeBJGhUMTWU/Y6kCBxx3YMshBjakFS5nYIqbNOO2GsKsU4Omum5C3gTTuCI1CZkpLAbAQzkv5w0AZCDBIxT9O4a49gbR6EmMHwbG5ZCADa1oqq36oRgRmgdcGOzj9Kwgw3i8wFxTYZgCLANLkmmALkjgAEIDB5Ns1YCAR1BAW3Ws8W7kWTgsHIE8ClCVmlGnJLBPTglongClMGSKRo29wmB0NzUzDl7MoAQy1zZHBsXamgumkQKIaKnYoMKNAqMhqnxslBEHjhHOCuUNKsjo4O0MFFSRU0B8z5nxt1hZcIBIEEsCi81lbATABz56CeKxcGmnbEBChE0KRZ0wQnUVjKBk4oFP2AijJM3ZAjRMiBRk05CIvAncmFmEhGKZNEdwMhxmBwhWcHUWCBm5IX7iEGMW9z2zKKQrhNOcRMyIG4EG6bhoWBUqQYNiMhMBFSgkGdzIUhllv1BsgFCSCQMgIFSlDhJGYqyCXaEj7SlsIEqA8EbxJnwEHFuMHcCUGISF0dXhZlzglMBRdNMyKiEAVC6uZmzFGE3ZBzFimAjmsRIFCACNpsDDY3uMM6duQnySjoHF1qOheXhJsbg5MhOxATbATmpm0CiFCrjuCeGnZlAMm1LEmbhGCEgCaWVvVir/ahkjHDDITgCLAGyMgpZ5NizJpEReXucBAsZw2RsrkjhlBmBYAufuOaAWeIq8HR0eKBYGrzirIEqeVM3nhmKUuOZF45Aheeg2dUHCmbETKzE2vOneWXFVyIIbuaZ4BCEYMjmWemAEdVhTwXJqDOtW0cGneF9cgJzmADkSAbRiOXAFtHpyRM1G3KA5sZgWLITAWF+SAgmI8awtgwG2ILmyk81k1hATk4KFeYSG3rZjFGVW/bDMDMUk5CYo4YIgBiB+BmIE4GYg4cNTtJ1JzbnJhisqQpE0hCgM55woTFaU4vuRoTMyFrZmIzgEnNU8rMnFuNRWGq0ChcZlPqFJOBGA4XKes2RYQ+B4YCjCLkDIdF5no4sAxEOIGY3TLDOSA52gyGkKFDW2glumcRgyEEZMAQyZsCiZ0iVRAoHFLDjGi9nEUVARLYiVtDVkpSFDAOdSQLbkHL3lATw6INhFC3A1QhMwAIch+EpA6gB1RsTS0cTTVAMlRgZhlcgEqRMQdC4SnXKSmjIJTuEqJAHB2QhM5NqG5mPeX/+wPKH53x9zgsbCed+5kczMiW1ZREsK7aUF0dE0WsXDNpjqCUp7M95sV0Y7Vpp3SboojmMTkro7Umta0gAEieEYzYyQEw3FE3mG2DcTbkiMSG6APg57fd+ob9D+iaYoZYSA1y7rFUMGTH0NtEjgIpIUroco6lKNwzyEUIgEjRuRhMIcRQbbPCIloUhoo5AwNHAySFEMRyRTFSqZ3rqwiJoSm5QSRYzqedftIll58nARmtKqKBWmhmp/4IWpYVsmczhx551BH3338vnDR7v1+4wzLIESUSMcBFYIM6nELkuXQvoOA6e5DQqQQnhMDCDCBIzDnnDFBO7YDgQVgzwBBREoJEiKQEdwiMkSlyiMDIOoZmkEtgpHTkgYfee8e91994wwFHvt1J4QqHOAM5WU3Ew9kWjCjsKm2TYhWlJCIUQcg0FOQRbSSLALsbM0UjlL0ChJSTu4sDjw3//OWvnJpuE/VAAQzN2SkhDUgYLk6SoaoJSph1HVnkAACOduiVVNEruCo4KRmQHFEKACk7ABALRwIRsqXhcHbyLW98s2cAiYrooQBEZ2deuOuubzvokBoVEJABgoNuvPXON+3/dgODE7OoIVsXbkOuR0wcYy+DKYacdf/9D+iP9Q59xzuJQpuyYyYwsTMZp6xMoQg9TzB1DlqnGgCZU/KyKHMyQ6jVe2UZYKPJ1UcdeeQ99z+SgDrBHEWIARY9C6ApoTU21IOkmsGmaJnAIIb1pDdqHSi1ju8+/H333/6gNk4gAYE4aTZiBmubAAqxbNtWTcfLXmRyeNPUEphg2rZk5q4SgoFUHeZTa9ZutOHGJL199j2IXAVEJOaEXyeK+5WW2G+//UIIr9hzr7auzTRCzjvvvAMPfjsYThkCWAuiQgrAAjyQwpoYUHaDTD5sa0RRQBMXzNIAakFMMXAkVyCDmN3NdYgIkKgx9xY2LQAKlBmjEA2E5JwQRk7ZvSMpV1eSiCA+amJRKAxloVGa3Aa4DoekmcyFexmicHILZqyGxKJVyOOUObICMKaBNvAR0qxmtwhmidAALwRQBaxBPWcAOdqMBLSeIYRR8+LnPO+2e++viQg0teyR9RaMF1X55gP3n241A70xMkO39yACw81aM4WDRVQNaZiTOpAc4ERFgKEXermdvvDC751y6ueyUQZU8qiehXEsAtgBVreiCE4IwjFENTfrjHnt6IjuuO3WKHTFVVdlNQJCCKmuJRQXXHjRCSedEDmWsTLTtmnAc3hCTd3u8sxdDjjgwM7iJ5i7MRHATswiLMRBSDiEqDmb59kVo40Wbzp/bPzk005t4SgSqGm0mVXj2BMA9QiqCmsJieFI1o7Gqx45sqKFac4B7GatowYogNUpO1xyoIQCzMjTaNfAsgN1NqEK5pQyNQAw9JzJk1o7qxMcyaJBkmZiJ2qMNFkWggijRjbUgEqRvY3sjByrWOdR614ClWaogjkFjAgjUupHqBUePKuA6nZamNvaVJEcCVZbHYsQgmhGap3B7nn77beOZfWKV/35XAT/P5N5+ZT8N8kfnfE3J09gpyCa24gEDsIC0OTKlZutv36gOF71DzvwH0vgmI//47U/uUQ8VSGcePwnTjjxY6/ce/eM2q1GoP33Pey8H/ywARInFBTLAIMbSLhJNfG69F4SUESoeC40gpprwGr4kGKct9A0IQ+ZrXFPKAgFGkdrgBnzCGgIMSIljaHM6gCIyXINU1NVUOs6qlsRIBucYjGWS6pzFmnQTrPDaWwIuAOaaZR4BHI2ljbYFOkaQiAmchKn4DknprJ1IRSB0W1CqwIDFcMChyDVwqmIxey0101UDxyozQ5CDOY6A5tBGnkiWI9QqhMQ4AYkd+84iR0AjNjNlYjyaIiscAohcAB5WxWBQQKIAK6wESgbpEkoC1QEbWcxt7mHVQwi1I5hgpQ5xDS+YNIoSFkipNwOs7VBmhiMJQrBtT9eqCM5mMsQyiZ7Y2jRwDMsw3yYU4JmqCGTB08JClfAnQJntkwJJE0bXMZaQAFvVLhrVF710EMbbLpxtXB+v1dedtHFGOpuOz1v3sRi6fXG1l84OTlbKr3sT14xu3aYKbgRBb7hjjv3PeigDAMsEDnQ+Q1hlkYDjqK5SW1NCmQx9AZgQCX4tdf+/LMnnTIEZWiUBhi15sknxsY3MrAJKUHhwgJzqIWiIMjIoUBrMOgZZ5z+o19cqyQEZgoM9zyAGzNgMSdmIIiKZCOX0CcIbARprWkZZQKpiIFTagO4CLHJ2jIospOoaSCJJLltnvsnz+/NX9jrb7Ji2UNBRqRTMYTaw6AJjJJy249omkSBTeY798gdeegGgxuLwk1RhFLVW3MuSjcydVM1uJQCMiJILGAuxAauk4oECJ9yyklf/PJXBnl0yumnFEEANwUzW2qeRFW4u3u/37/u2l9edtllvaoHIFse7/U9q6IG/GMfO7rfX1JKNdav+sXYRRdeev53vjdeTRSFjC+QW+64wz1cetlVvbGqR0uKYuKQQ9+NiNzkt+93YBXn9XrFO488iNzWrly98cabFGPzSYqrrrpicuWq9TfZquovKIveS/d4IWz2u9/8UlGE/sSi3vzFt991LwcCwTtXiipyXj25doP1NwixCmW520t3N7LVq1dsu/VWRYy9sYmX7rVnO9KD3rr/Ow44iFU1j/Z+3u4P3Lpsk/W2mh/HelK87OV71IAzPXuXrefPnwj9srdoozvvvvPm638xXpU33b4SxN/73rfP/OIZCXr9TTeHUPWravHCBffeey9UrRkxc6OmAMMXLBh77JGHr7vul735C2riLrrA7DbnKKSUZiO7CJl721oQhsQYvAACQbVUYlCmVBcy1tRWs9cFEsAWe9V45gZQAiXNMUR3pJyatjG3QBIkiETLSkxA3nLLLZP6bi9+MTObgUhi1W9zckIyzWY5tXAuyrJNyc2IuSqrG26+/pTTTm7a3O3eyV04qhITG1CnFkJZoQYRCUEME3vtvnc9MzjgwH0TN07Nbbf/cqw3fshR7xo5YBitXr3ZJhuHGMt5i4cZrG0U33nbrWMZFy1ev2kSmEHytv327Zdxw002fmz1JDkPBs2SDTd52ate16a2gSWxS664YKKKfaIvnf4VRZmH8ai377eooonexO33rJhBb5TCS17wrDGJG6635LHpWZXqnO+eO7+c1+feaSd/PjmWr1yz2TO2KIpiYsHCO+6+Dy7nfvN7UWII5Sv/dG9xK9zFFaT7HLDfy//s1WtS08COPv4zoah6sfrqKWdUxu1s3nSTp49PjPXHJ+667/7WnTled8ONzMVYteCM0z4fSZpmdPNtNz/4yLJFG2xuZnPOPn+KGv4PLH+Mxp+B8KtE465ICmoKuGn2lEIIe+2118z02qZpqmbizqV3LFkcZ2YeJjLPSev2Bbs+693vPPSkk49P0BtuvrUN5Yv33MMJDQYGghvahty+e+EF1dhYFePBB+/HhAcfXfamv33TsR/66MKxBQsXTayZWlawvWWfNy3pj+398lfWjQkxLD17u2fM6/cXb7Dx5GQD591f8KIvfunzCyb68xeM33XfI3PNdo6haDWl3HCQ87797RCKqt877qSTq6o46G37nn7iSTnb0ttuj4u2mWkatLPP3+YZ86S/ZPEWM7MAA4PpF+30rEX9hRtMbDg7uWbpbdfv/67DpwGI73/APpdedckmm23yzqM+utdef9fvr7fnXq+qh5OQwXO22YKk2mjTrVdON8nC7TctLao+h/LML59dFPMlVADFSOQwqym0mtY8a5dtx/sT42Mb3HHn8rrBO9/57q9+4fNjUk7MG7vxzocbYNAkJic4sTTtKFTFs3beOYaSuFi0aMn0zNqUhud99zsi40VccNLxn4XW5553zmdPPnmLbZ8VwoKj3nFIQbpmxbLNn/Y0iVVvw80mpzO8XHbXg4GLODFx4te+XoeeW8wzzeEHHzq2cMEb33HkALj55pvnU1VJ0ZtYeONdD48MBjDHEIh5LvvwoH3f1ovF/H516JGHGPTh5Q9/+P3/8o6DDuvFsPdee7bNoEH9rUu+GceKjTZ52l13PTJMaLpUsOBQ11oxO/1Xr33NJZdf8uj02rWj/Io990Yr6xUTj9z/8Np69OCqxxYsGkeNckTssQUzS2MYZeeiFARZx79HIThAzLEqkYaMXAX51L8d34/FC/Z4+dCiOV608zaLxvsnnHJqF6+DDQ5825v7vbHdX7hHq6FOcAsASLhOGa6oB+874vDPff5zC/oT/cUbTw2GRRGytcO2QYi1gZnrwfSznrVdvyfE1Re/eK4roLjgvG+yFGXZP+30L+S6QTN8wfbPGO/1Fi/eYs3MFIBf3HBDr5i3yfpPO/HEUxuYhzmgcxhZC6/t8AMPP+aYY2bT1BVXX3bIgW+Brfn0J/75zC9/ef2Ndpg/f7PPHHOqkNx83bX9fhX7S0487QsKMPSeW64f7/ULCYcc8Q41rF09+ea/f/MnPvHJsijnL1w0NTUlTMKSPRMToF7Xax55bItNN+lXxcS8+aO6TSkj26MPP7zF1ltnBgsst7AcJGR1jrEDkX5iHlJn/KWUer0eEZlqZGHQ9ORUjJGhydMHPvDPw2bmIx9933nnfjO3zd6v+vMyVudf8PlW7/nymZ876fgT6yFe9ad/umrtoy991l9MLZs67qSPZakPOPTgXXbZzZK3w7WnnfBvy1bcvevznvvDn984bLTVZs89X9am4QtesufkYHbUjK666nL4cHw8nH/BuWsnp77y9W995viTWvM2mcMYwYgRQmbstddelnNq2le/+tVnnHGGWn7+i14wNZweNPWll142v6w2mliy7aZbDqYnnbTMgbT3mj97w9T0aNRMv/ZVr3rHQUcUJEtvvvY7537+6OOPfWzNsm0237KH/O53H/WTG2+BZGjTjuq7775vt5e/4uFly3Oup1at2GarbZSExvujXAd46JzObCRoNa+ZbWqjzMjZwM4iDnfPVQzHHPtxYinL8nOf+5waLvjOBad+9pjtt96UqTjsXf9Ug9rRmudvvdlGYb3X/+1+bfQseuttD5ayXgj9Aw7fx6DLVix/w+vf+KEPfTRW/U033XQ4mu1KUMyQUnI3eLpl6XXz5k/MK6v7HnxInZioHQ6fudNOZdn7m799fYxl5MBEIpKyQgKY6tFo112eGWM48ZQTiyIECXU9eus+by5iLIrqggsvbdwkhgzPHbc6AGud51flvGY4YjJAl955zac+8f99+7tntSwNUNfpY//6oSsuu2SQ/e6HHv63oz8tRG974xtPOv2UpOlrX/vakUccadnfss9b3/DmN820zWPLH12yaMGjy5ftd+BB5114ESgQTGG33n/Px445enLNvWlm5ZmfO+2mGx855ZSzd9rhmWsm773+l1cc/s73DGoccdQHP/6Jfx7Mrv3yF08/6j3/MNv4lZdfs2Z5vfKBtSd89pTZOi/ccN79j97W5ulrfvyTIw45Irfla//6ja4zpvWfv/o1p5xwvKcaYt+56Lytnr3TFttuQ4FvumvpvY/cP9vWTZ0k4cEbls4bW/++ex6sm+lfXveTt+23z7Dx2+68/93v+kBq29Fg8vBDD0g5lWUpUiQHJPrcyvs/u+Q/JU8mf3TGn2MOuwT8xAfQA4u7B2FigSuDeuPjo+Hw7jtuWbL+4pnBbByvHJkC92LRzg7/7JV733XrXbfffv/+Bx72saM/xgUMOYIJ7KkF2Zq1q75y1jfWDobD4Uxbz1x05YUWwo9+ufT5u++1au3qj3zoH2/+5TUnfPKTL3jh85YNh+dd+ZNAJUBnnfTZb5311dFodOXlV7/vXR/wmayDZjQ9XDsz+urZ377wwgsBBGE42uwkEgOtXfHI0uuvM81rZ2bvuPfuW2657ZSTTvz6V748GjWf+szxP7vuJ/PmjZ158pmXnHvV7OzoR5dd8P73Hzl03eeIo/7t5DMmZ6fWrFq+sF9Wpll9LaCjtRMT45tusvn9Dyw/+pgPXXLpeaPR4PJLL6qK+JWTT/red79lWl9+1ZXveu/7V6+ZfNs+Byxffl/djN761je2ua0bTUZmcABqcP7cSV8+9hPHDaZnf/rTH+23/z6hxJrV09dfd+1AV3/xy1+8+IqrRwaJkQgpN4pcFBGpvf6X19V1u3TpTWd+9SvzFsyfXPPY9dddazY7rCfvvPPOhx68P2v73g/+0/U33zA1NfmLn/ykHQw+/OEPX3r55SnVX/ryF97//vdOr1j22r943eT06rWj2Te+7S0hBABf/fIX3vOuw4fTk7ddd/1oavSsHbabmllWp6mrfvajo084fgYYKSxDa6U5YOt0yqknj0Z1OzOipPfce7dU4aQvfuXP//qvzeqdtnva8kfuX3rr0mOPOW4wyMuWr9xii63KiKKronIFA70eAp696y4/uvTiMQQHVARt7pfVgmpMVQMHMNA0BSE4G4i62usoSpSR4caEJnuTPDs8GeAQ5NxeffWVL37+i9q08q//5i8v/+ENxP2fXH/NN87+QoyxzuihPOEjn37B8/aY0uEFv7jCwrAXIV6qazYUMSArNDUzk9f+4herRjNf/NrXD3/nEYCZ5wULFjQpE8MMVb+48abrRsPJ0aD+3BlfmZ7CrbfcfPynj6lHa+vW9n37PqHC508+6bxvnT8ctFf/8LJ3v/eoFVNr//5Nb55cNbNy9WC/ffenSCMA8KytcMGhHEw3w6nBS1+2eybf7XnbPeMZ6z1y3y3FWHnqGV+8/75b777zgZuuX7r8wUf+5vVvWDuYWTW54qAD3hS9Ma2PP+WktWunatVnbLXNpZdeDvAVl1/17Gc/p07pg//0L9deex0cbhY4JE+qLZXhQ//8oSsvv2I4mDnzK19+9/s+eNnFl80rFnzhc1/Ydutt5s9fcu8DD8TAgaXNAOi3gQCzg5ljjJZVRMyN3P/2//ztKSedbCgjVYAj5F6fy0LNhkCbtS1iPzUhhvFn7rxrVaBJM2N90XoeJQqhXjF535o82vfAQ1AjZkO75vpbrzvw/f+w8VZPF+OY3azlsYJDlRWhM1I5t2m2Qw13hO2220GYishmsC5s2jZmRiSzs8Mm5YmJiZSaELgICMwGckAVwcJLX/Tib379q1KCMgjVzDBnVXg68G1vu/aqnzVTMxAbtDMpEBiiXpguXn/J5b+8pp16rCT0qPj2975/1nfPXbj+AnhdkbtBI7exuOaGa3fZbivJcHdEgbUiwr1+KjpUrQyomREHIlx34y/uvPM2t3pmMPuFL3zxtlvvCIJ//ud/vPaXv8zaXn31le1odNjBh55+2hnLJld999vf0pQNOOm002cGqwbD4Xbb7PiDiy8oyviTn//ihbu9pK6HRx555DXX/Dzn7I7cQiSGGOF5xx23H85M77fffhlk5qnVQw889NOf/uwotV8562vm3qYcQ6lNKyISKavHGK+77rpvn392Vm0adbOrrrjsRc9/Xtu2Td28au+9zD0jA0RMQQAi1dRkTtnLEAXcYLjdM7b43Bc+R251spYRq6iemZFgP/zRT66+4uo1d95F8D950QuGWd/xjiMeuf/hlStWPf0Zz3jJy/c0yxWhADbddNOvnX2WxJ5molhkHV14/rff//4PhPHFl195xQ2//PFjD95zzlnfffObDkMx9m9Hf+S6H1+26sHB2jWzL3nVX2SbfN/73v3o3Q8WmT75b0d7iGOLFixYvGHOOdvAMQyiTTvafusdi9hlFHtjqQF22vmZHMINN15/7vnnH/KOI0RidLK6npmZYQoATjr5lEdWLI+BijKmPMy53WmnXYJU3//+paeeejLBWOCOQnpEPUDMzDwRyRORXv47lvin5PeUPzrj7zfEu22bu+fc8dW6mV155ZWR44KJhX/5llePrzfRSGgC18gGahJVcZw8HnbA4bvu8oKP/evRGy4c6yGXnvroMYRgiPrjn/7wObs+L4Yex3jkUYfedfetOYadX/DiXXd/vvTkyMMP2nv33Zff9eBb3vTmAig8RHWbnjr95BP/5Dkv6vXG9tj1BaWU5LRgfGL/t+zLoNe9cu93HLy/qnc89zHEzsr60Q+v/uQnPlnGOK/f+9wpp0GAEE876eTFi5Y881nP2WGL9Tz5CZ/94k7PfMHCsd6Lnrej2eyq2elpqnbe4yXeB9ppNIMqUWlcACJsyVOW1oIyEoaGgec2zbYnnXj6zs/6k6oa3+25zykCLV++7K3777NwwfruyoU6J44iLGC4K4dos3z21y56/nNehkDb7bDZbi951pqpybHx+fu/7W0YzW633Ta/vGlpo+iy0mMIrWaCg4hCtJQvvOii17z6Veb64x//+KMf/XgI82M5/7TTTlPVWBQf/9QxHhFL/PgX1wymZmdn6k02eRqA1770Jab1A6se3ffIQ2Of+vCyqaVpnP2tB75tm2236CG/cpddhvc9gNnp3Z61Q68///nPeWYbfURoGRxQsAS4IYPp0osunF+GjScWf+NzX85tatr8glf+5Yv3fDl8aovN5t17z60P3vfoP7334z0RGGJUdlgLAUABgaZtpGX47KknSzuaH+TAw9/ZCFCVa9asWrSkv97YxOL1N1oz2aJkFoUpG1ICAQpPmiNYCMyQQCESHBQCkoK5LMvdXvjil+3xHGDVlls8/Y47HpiuDUWEGJnPC9AB1iwbvv71+zeAxjZjKltCAhEJo00ZRAghkL/z8CMUeM6fvMDch6OBEDVNwxRCpx20OfG4T4+NLeiNLb79jvuMcell573//e8tinlJYcims6edcvrOuzx34dj8Z+66rVpa/tiygw4+dHzBOLKrW9uV0sCFGIC3npocYyQiEKxZs8vO27WmDckHPvShfoWnb0CfP+WEqdmZQ991lFS9osdCs6WMbrv95pPPOHt8fKzqjX3gXe8SEYlht9122/tVr3Kjo45456tetSe6Al1oIBGhtatXTq5es9lmm0P1z177WpZi95fsMT27ap993rr0zrtWTj+2ySabMFFOKQY8Tg7cock8HpOaw6gwn52d7XK/hDhIIDi5kwcG5zxwHZrXjsRssJFE2XPP14/1Nvv+9y7bf999yoh+RJOmA3Fw91G9fOWq+UsWI+Dkz35mo2LxX+z96mtuuHmrnZ49Sth1h50Wx+qkk06aBl916eXrjS8py0Wv2PtPU2o58N6vfs2C3uILz/3+2/c/QDpIT2Z3Skml7BWKqy+7YsGCReMTY9fdetPbDz1Ym/pHl16xsD8+VhR7vvq1gwTisNP2O9x5622rli9TRusqZUkxgGjR/AVLxucXidCmUEhRlc0IxCGEQJHfdtDbv3HWl+Haqj28YvXiDTdd+diKzdebPx56F1162bSCKkFga9p+gKYM4i6dNzsyIQNOZpaIO2j6/MOrr/z7N/wfwEII7//APz722OqA9OGPfyr0Fraell7/w37kBRMb7rLrbqAWqKPH++965MxTTx5fNK/Xj+8/6l9742OD0ehFL3rRy162uyne995/eOVeryQiVZRFB2aUweQ+h+KZc46ByGhiYv7uu+8uzLGssnkZIxwSCsx57pnMEUKbm1CFohBifs6zd/3oRz5y8NsPZEarCCwOarzuknLdTIqgDGJngSKXKEoukVqYxdgbNHDGfgcesN3Of7Kg1//pj378jM23LEiI6Dvnnjt/vcXf+c53B4PRffc9cN/DD77twH3n93sLFixes3otHKrWIfhmSE9iaSMb1dttv+s3zr3oe+d+495bf0qjmZtufSj0N3rrAW8/4K2vW/PQDb0Yzjrn6vGNnva1s79Zr5mhgRYBMo5zLr74DW9+U6+oxuLY+eddwGF87732/vhHPiYEy3j7vvv1+hO3PHT/c16+x+xg9qwvffmUYz9bZNLpuu/ygp2fXSn1pNxgw6ft+Vd/vibmrH7++efMG1vw4t1e/rH/75gCuPPWW66//se9MZk3f+zYY06ta0CDqvT7ZbaZX6vt/Y1S36coWP7n5I/R+Hvi8/VEFV/EosNHIqKXvvSlTT1otVnZrr7op1emGFpkghgqkfUGowD1HXfc4YW7vHCPZ78o1OhBK1NkiBMYVk+rpkXzF2lGSi0ouScHeW+sFhjAmnw0uPPGm2dmBhEoWyvMmVCNjy1f+UA9Gsw0q0487mMwgyJ6LDRAPRK62g4ArZpAHC5Cn/nM0U3TDJo0ORhuu+22GI3KWLzudX/pLASEQEs2XO++e+5aOzvTNPUpJ56ek3lqI8wzMN5HqBI4ZF8EgMbbBjH0DKqcwRbggSWKjE/MX778scHs7KrHVp58/LF33nUr95WBEIIZmAs41GEOEUJuuWDy1CtKJC9iMRjWIiISFy5YADfAQdJmiEBVHVpI4XCowfHVr3593333zQo3jjGeeNKxTZ4aNVPDWjff4hlJLZMjQCJgFqQ0JSdwQBBykbseWZbL0qRQZDGEUCAULbERI5sNRwt6vZOOO/6wI48Y1it+dP0vTLwFlKHeQdMZwZatXPae97xnatnkY8vXHPLWAyopESRRLwSxek0Z61D6nXc+SD7etkCBFAdNml5YdKB3YqCCgxQ9sB948EGjun7da//q0Hd8wNznLZpY+fDyQT1ctXLZ/PkFkEGJIxQoIwDkph3v99WzqVr2ziWlDhggAU7JEYroDrQewVUgiYagBqLMQVEBv7jmh21uABBxEWPReRlhBi9igDDq2YKpjAUAhT/96U/v90phcigRqUMYt9x69/e+d87U9Ip6uHqLrbZx96yjooAriGEIJDLRH1v+0PK1M1NJR1845Qu333Zn6MU2JRTgKByDoaNSBOCIbkimqW1bATH3b7/17hh6UMvejBQowD2/7dbr3E2RiZC9rdMwRtl33zc0murBoEn68pfuqQYpq2HdMiEKcoYCLELuDDOzNjf9fh9CKIrRqAE4xhIgZq7b1oEYAqAhxq5sFutMvl9lI61bnIqimDNYzXPOvq78syS4Q6QkqUw5GwMEKRvNF1929qPL71yzdmUgeAKMy9AHVpk4VQuXLNli+NjaMuVDjjzgzgeXLnzadk/f8pn33HrfPMYN1//8698804ilqF718j1mh4/Nzq75wcWXxWqiNTv//HMffnTZcGZt8CwwTRkAM4lEmEalPfd46exgMFW3nzn+hMixlLjXbi+eWb121KYLvn8uCiRyZ3rNq/e+8ZfXWr+gkrI2XXXV6jWTT9t007HeGJQDV8OpQa8A3GbrhmLceqsFt974y2Y4kLJaf6OnP7J8xUZL1rt/xcP/9rEPSlGSoMmAKpes6kVRwAlMnjUUVVI4EEiYycxijCKhbZuUWwAhcFmW09PTDSsolKEohBz12qk1y5dPor8IChLEGNtR+vu3vLmdnUxN27b+ghc8L4QQQkhpbsSSpkICE3KGhM6WVwpEgpRSLCpVrFmz5rEVKwmSDMPhsNfreQerSMQMB1JWjhFqIlzXtTty0sWLFz/wwH1HHHFEjPPOOP3LGVBooCIIWgUxw0wYrTbZszsiKkCQrODC29wrUBu23WXHJs9Mj+r3ves9m260pD9/4qKLLr70ksunpye33nHrnZ717FDEb37j7A+87/0zdXPmV7509tlnwVQcUTi7pQx3LZne+IZ9v/Od7xx/yueS9bbe9hnDZsW//ut7Z2by85//SifeZJOFl158wZWXXDU9m7beZuc9XrzHWE/U63Mv/M7Fl5+3/wF/X1VQC695zd82g+GaR1e+Zs9XrFm1lsr2tNPPmK7T3x2w/6Hve+/Fl11+2nFnbNBbf0kxcfbnvrJeb949t97++ZNP0bpdtuKh+U/fcNFOW1Ac7P2nezZNmnxs6rV7/83spBE1P7joW8N6+WOrV33vvIumZ5AyhCjVs+T1k67I66abrfv5lAn4PyF/LMbfb8st7XBK1+301yl+JyLq6pKs4tby1ltvddZXvkIgaPXlMy/c/BnPzgzHqAzgtluZu1whEMFMuVdtvtlmZ3/tLCEo/ISTT9r86U8nh7l7QJ0Sg0jC0zbf7I4777YWb3jda8eIEGjHZz/7mhuWAhCHKRCIi1gPm0gouIMsgM7hOzAAg2222WbnnHNOt0op5vKTPvzhD5955plLly697Z4VyX3zLRfdcttPEajRUoFN1lu8wJvbf3gpm6pL25tXbrhBMzs9v8FF373o61/9uuaaxLbcaqs773qIrQ8XQHd41jOuvennYEQgZGy73VbfOu8bhuabZ33zzC9+27WY4/sluBMCAbPbbL/eNb+8EqAbfnnX0uvuKuPEYNSkNiPG2dlZkIl0xqJ0oLYpKUK459bbN99884mJcRGI9J/2tM3OOutrdZ1jBECmLLEkQZu6smyaGF94yy13PPTgI+b57PPPyxw2fdozvvr17yji2eeee/pXvtgyJRXNhaOAROpVa4fDlmTrrXcm5h9ceEE0j7Qu7OdgQgE2s+e+8EXo9Uar117y/YsFwSGBNKqykzsN27TVttt989vf8QJHn3bcDffeHEoAKAUwY1BwjNoRAnfOos022TQNawApUC4pwdScHSBLaWSUmTs4BBSRmsGskLMQC+UOG5oAhmWAiia5xLJtgbDJpRde/vKXPDvKELBscSz0K4NjcuudN/zl0h8L8Jb/c0A7w3NMGJYFnQsug4nIm3YkwFlf/crTn7YpTDu+Z4K5AoDIxOZbPiOUcvPtd99x550h0itetddHPv5PdTPjBIc4yl2fu+tPfnYVKmnVCbLTDjt+/ayvNDr44ZUXnfGFU3PTRkBAZA5W5zR/yURvrLrmp9ekFjfcuvyO25dtuv7To3tZUEuWCKDZHXbY/Lvf+ipDz7ng/JO/9GWqxhcvWf8XP/nx7KgmArKzYzQacRAREQMpKAAMA4TmwOvXW3/9m2666b7bb0fOV1xxhZnFosI6LgQFpKNScJfO7Ucdj9ETHBLr8G8Hg8HY2Fh3bAhhDh7fPWDElsgr+ATQh0fz0qxyKT2kRevzc1+w7eWXXV0JKPe9lRDWoPTJHNZbtOl6JF897mj4aKbfX+nVC5/78lM+fPTyW+9HIB2rGoKOmlIbURBBKSZEKcaDxMXziz/ZZeefXnmFQBlzVMhuAEmvKC1rEBGAwARy1RACxZg0J4ADFO6E3V720q+fddb9ax9NNghUF4FRlO/54Af3fvWrUARkaWsar3puQBQrShHpAa9+5Z9+41vfHLXNn7/utW/4q79uhzVGNRWckBWIAgjBXRlJM0BQFEVZ17UIGDBkd2Nmg6vmrbfe5rvnfC9pquv2fe//h5133L4t5ikb8khMFegvXnDbPbc8fNvtOusHvP3wYRpsuun8a6++Oq9tyGMLBA4pJQKragidYpwbu9ChCHTQdl0iBnNXcLBgwYL777///vvvn1y95pBDDpkrQe3yBAEzhCDu5m3r7iEEZoQoZsYxbrPNNkuXLr3mmmvcPVtW6LrHBGAuUBNnCCL13NlHQOinOvU5UgNmoCgMZKp7vWz3V7zsJTw+/81v2efId7yTgfN/cPkwpy232voD73rP1pttodCbb79t++23R1OHnMSNgweHW/GqV/3lG/72lTtst4UlfPCfP73JNs/6+/3+7v0f2L8X82033XvTHSs23Xr7v/qrV//LUQcKwvcvuHiyHqCPT3z6o9+/4JunHP/JUqBzkP5lwT2ftfEQen1pfAZUGLjsTQyG9Wv+/HVr2+HUaHowNXj72/YfTc3ssPW2SArQd8+98LvfP3+DDZ9mlEQIRoHgKYu3z9llhw+87z2BwuTa2Q023KjqIUTA2yhccWVmXYDtV532lPyh5I+D2/dXgPtpHSNtR02oqq7m5mbWaFbPnnXy/oe2Xn+jggkF/vLtB07qbPaV+x/8GoogjJ1x3DfTUN1nm2bti3fZo3nY68fczc3bbJpN3Wtr12gefePsc8AFlTj+pH/NPnXXI4++9o2Hrhm5mXs75e3k2kfvW7Lx4mp8yYU/uPYj//hxrydX3HP9ppusj9ADjX3+lDN9bXrls186+fB0M1R3t6xqnlN3OZ9NM+azrtPH/H//KABiLNZfct9DDz9z862u+cGl3trPb75Vxje5+ZY7px+5Z7slRQWg7H309K8N3IfLl207Vi0AxhctunvtY7Oe991/vwLhoDe96bAD3nHL7ffNeHpo9uFFmy5mFK/efW+vp1c+eP0mG/WJCwpLPnvylwdp9NFPfQCCw95x5LGf+tKNSx/O7rW1ucNwz1PuK336gec8Y4txjE/0Nl4z69PuhxzyD3dd9xOvl996181/edh7H3IfupsNWx0mV/fWR1M7b7l5lAKIYL7wwguGw5XHnfAxEIPmzestmFr98Lk/OPvDpxy/wn3k7tl9tn7s4VUbbrApCLv9xWvWDs2zf/rTJ6PEG4/Y/6OnnvaLu1deceN9bz7oMPU2p+HBBx985513337DdYsZCDjzO1859EMfflh9lVnyjoK3dZt2n3rb3//NBPgvXvDKz37kmOtvWvrQ7Ko/ff1bm8G0Dx899Zj3XnTld1Z58zf7HQQZP/bYk975rvctWzs1bBv35Klu68bUs6/afNMFYwWoLDGxePVUtjXp+VvtJABKnthogzXLV/ma4Qu22gEAIldVdeMdd11zxx2oAgkEeOlLXz7KPnLP7oPZ1rTJvmrFqjvWW7Q4Yr2Kep8+7uTG02Nr7tpkfRkvAzBWVQseve+WNQ9dv/EG89BbdNYV17/7I58dte5ZzdMgNUmzp4Gvffg9b/7LIMDEen936LuH5sPpFdts9zSMFRgbB5WXXHBRagfPeuYmJNhnv8MOfeexDz3auE8ed+y7WABacMypX1dNa+65ZecNlxQAohx73ImrcvrQicdyhYP3+bszTjn5hnseeix7Y65NrXmUbKYZrVzzyN2bLl6vKBaMTWwzs3qttw9/9pPvOe+KC9a4T3ltvsb1sc985iOI+PtDDj72lNNuveVOz833zj4TEsBxfHze0qU3r1i95m/f9Ka60dSYZU/u9dzsTm6N+yD77Mp7Ht1u4437kXfb85XLZxprk8+sOmzffW6+75FlyWfd3EfuKXeqztIT1EV2T26t5jqn0aGHHHTLTTenps1tUtWU5r7Z6ir31DFhf+zDH7jy6guzes5+zve+9YPLvtD6XY+svHm77XdZtSz94LuX9BiLIIziTQcf0br72rV7brfFGAElnvmaP5tOfsfP7pqP2AdBcPRpn3l4ctVmizcIGIfMf/ErXj6TV3zzu2dcfOlFOfvKFVPbbrX59NrlqqmjjXZzT772gQf2+7s3ap2T+6xbY/X0ioe3WjhRAOhXz9rzVWtHftSB7/XJJs+sOu/7X523aMltNz24+eJt+1SAcMxJJw5G3s7Wu+6wWb8PFFWc2PCWW25Zet3Vxx5/zJS7Tz26y7YbHPf5Ex5W/+K5l0eEhUAknHv1VavMW3UfjsysdjdvfbTGBw//8Bc/fO17PnCz+zL37K37IGttlt1HKa88+pgPSABzuOjiK7L62Rdc9MnPfMJt2m3QaB653XDjtQtAm8b5P/vhTz960qfW+uDSCy/rYzyih4l44+0/W7l2+RvevM/0wFr1YRqZJ3Uzd82eGnOv3abO/c6ZASgQUEy88rV/OZoe3nrN9QIeX7jepT/9+dEnnNjmlOuRq3U86cn90Uce2mjROMaAEiH27rvn3u9/75vdJrzfX2/1rK1NadrroeepJpt5WzfarFl7z4oD3vTmmXp65N66r1nx0FYbjAmAuIAmnnbrXfd++5wzIUBZnf+DqzS7t1P33nHTxhtvimL+817+F0PzutHvX/g9qQgl9n/nYYPBjA9md95iC1ABGUe/uPAHl9pw9pRP/3MloFicc8Evk/lwetlzt1+4QDDe3/CR1T6tvuqxZVssmg/wy/b681UDe/CxlRtvvogYsQCoPPbkL/7ixttCKAoU61Xr33PTvWk4c+JJHwsAynL7l7/yMfPWXOtp97qp9bAD3tNOJhtN7bz95pH4ZS97zcq6Xu7TP7/xagkIQIWJB+5cqa1rM7nzDhsJsGDBxtff8khyzzpwn13+0LI3veGQ4Sil7NZRz+pvUkj/bzUw/iflKW7f/5z4ul1GJoR1sZzuTZoDbkdyE3JuFc7ICWPlCMqIBTJ0QBKAHpTRAsEzD5kj5wIABIm9Vi0lEFqGe9IQKoAV5tSajQIXjrE2ITAiAUimIw1u1CeNwcAM6CSKMMqBQ2WGwh2jFhpkTDqk+M55Qg4HkiYJMB1Fc0gFjjNqIqEEpFE4LHAKVGYgOQqyPOASNcKUyxiF8eSgjFx71UvgAOcEkIBmgXEnzChCzKTa4xItYAP0VKFtLovQb5MVkQ0a0LZJilCYg9kUnpIHRiQFAI1ogIrBmEzDouwXGYEa5OmRjA1Dv8lYL4DzrIRqmLTHYDiajGpcGeYdaewoeUM03zIVDFA7yAOP84aGBSxFmoNp8QLg1DpKRLRAgEpTo4mYN0qIEQyUqMkNLiB2bUncqW60D+l3fiBYjspC5j6kQPAKKYIARg6Ysjoyz4MjOcgGAqGCXYsc3EUZTdZ+1WE2O9E4O2p6rIe+NwGxbBjc4U87TKyxOjoFLq3OXgQXFUbK4BBrzYUguDEEJLWZMDFIHGoKGXY8L5yClZ7SqIwEdxi5iXOhDqQ6FhFCtbIKyFGQBzSOYGB2p3oWg6mjjjrykH/6yKIttyfBPECsBtMsxBD6QEiG2JglRwGuMiBAwMDSgOOiEUJy9M2DZ+SEMjaE0mNNaOEFhmVS594Q0RjjAOcaURJyhMHM2khFlRNiAKgx9xEXRGw+NU4GKzL3MwhAgAanNMqxX9RACZChbZNU0YHcpCpGOLJ04Lke3eCKDoi3reCNkzVFjwCqm4IzOE57QREBKGwISLKiDERm+BXj5RzDR7c+vetd7znowEO22357N8umMcZu9xiDwAlq5i0XSFkllNlY2LMPhCDoW46sIFJQg8wWSw+ElIUczQD9akSlgqKinAt5mZc8QuPwsYYgZSIkgWAIV7ZeoAAHUQvLkLJWTlknygAFOMPZs2diLkhg7fRUMdYzoJUqAyGjcqDNqFIryXW8JEYDRK1ZiYsAiAHUDi0rej0hzsrSqEWXGHQE1paQMA6gyhAaQmiEEuCQLQorYWQY40RpgHpww4Mr//GULx/9mWM3EsxDgrYsBUGadlgUDlCTUMVxzfAABQgWMSKwtaBYgYg6FOkCmTLgVJNwQMAA2udaLQiX1uUheBKmlJ0pkkMEoASv4Qwq4WHAiI7CuvGl2kGBDCgAtkxGxuIMBizXwhhyKjBmichSDBlC8MIhszWk546WEcWZcvcYj0b3Tx32/iM+/flTpbeAFIWmIBkcUw4EMLnTLKTKiNZ6ryBYDQ6KUBuIoS3GC7g3SkhguPThMEPOXvRaQsDA234ggjeITaLSUVqLqmiAEVIJ6SUCE0RbpIyqyugg0iE6ZFLiXkIQQ5dgosm4LABQSqAMKTNxAggICpJGAbeyIKAFhdpZicZMkQnMCRCyJCBkMiMSmDYSAqRMGS1BpI4+pIzBdNz/7f9w5lknipAIuQMOoqcYPv7TMgeVA/enuH1/H/kV7+Fc5zhsjqdyrtYjZyZWJ3TpUFXp7urG2ciJuJdSMGd3QBySg5SmrA5nZPYMihw4oUOMDrGCOtzb0axAhCtGQVl7hEiwxoGgsTQqFCpdHI5hIRhYQmGAMCAuY6WMC7ryZEJS6/g/VXMMAiBKiVAhG9CBP6tlAwuCmGWGQ6cRqUnwckzBjuEEKQFtIA9Ri8Isx7bmbB1ZFZhgqGv0IwI6VqSECBQ9oMfoiXDSUYjZkN1EjYtYuJtwynko8BBCkGCIyBEto2CogZvxkoC6Y05C7FehCsB4QEpNCKVmq2LpJiBBVXXoZaoptQYEJgFyYKQWQOjHCmjGGMkUgVAwAtqmVc1FVqjPZdEh9QyFpXmxCzmZWkKHQA2nwK0mQCopQkZlEGRhcGSwUCjnwCAFrbsGJOgYV4JWYaYM6QOVQwsCrCUBHP1KmqZWd1BUoMkAWI0olNRVAZN5gAUQc0+KQO7a0Fihkc0y6YhDJGBMQjQjR8qmQGBiaGqbpHARR2UdZZigRh0i1XUD68N77s6SWCxUHYceV2JlbnuErK2CmqaGGxEhFqjGivF52VQYBdCMGpCYOoMKQNsMc4ObF0JVzsjq5g0QOMzrIqVll4SqDImAC2B5aLkVgBAo9pi5EBSENo0QBQ6y4Chyci6DKWIBtQwqmauS2BVj1M85gsdS7gLdbUACLFZFMnAXLXIryphT625VGZ8kR8jhNsezgijGEoCcUZQlJHhKvQgBGBCOwiJdDeKTYc92WmLt2rU77rjjy176UoMTUc6ZiGKMUIaSQ7lgQGMgQhY2AwLNJ8yHR2ZQdERDIO9VxCqe2dvsGWPznIrSvK8IjjkKFyaCFWDq2s/wOaK1SIhMwR1EDnIYARIDVVXIamB4TiBQ7CqvkFIqxieQnSWoJQdCAASoAiQQQiFdVLRGIOKiycYGd2tAkH4U0ta54zYSYYVTROuFc4EsQA4AV9564QYoBThBFT0GgdauXLHNZs943nOeF1znCzquPJGiC8KURaUuM3VbxgoOhwFu2QFuEdDxn5upomOfAOVmOGATiQEB7qhYDCwc29ZYOowemR0MY4hBIAI11ayOoA6A21HDXXycgZRAVAZSAwNqSswQYUZuDYCE4KYFqo5hJxYFJAJsZmro9xC6qi6AqUuk6OpZ8mWXXTZ/YuFpp54iAhQRUqp5FASAVUWqnFSAoqCcW5AkzS08MLjFRAB5x7XEBWLp7EYQoAyquXBYbuZKsaQ0H4/gAqkIuW09pTHlSg3RHc3QDYh90wQgOxiIUpiygxgQBzTDTEoewqdyhkQM1NQJQAIbREBOAgijboECyoEoAMaEgkBmyZkgrjVidmpJRIoxUGlNDhFlgJCbYaednrloyaLVa5bzHOptN7eeyu37Q8ofCbfvr4S6B47nkrupw6QjE5FhaqpYQq3TQihDgAQBAENWISPAvBRCyggUQnAkguTsEiQ42DGCEoIZM8NT0+v1NWcOpbqBDGbwyJGyg1A2ebYfqqxggmuSIIwgYALUMrGrpkJKAGaqBpbQsYGJEMHMsqpFCImoKshKDoFhjXIU6aDO3LpcqJQQJAj1mBhIgciMkxWFEMUET85FQ6jQM6BXQQ2pnaqqChTNwcymylIIsaIhkMCJrU6JUMLYPMUAILVtRlERnAtHAIzbJsUiEDkDHdmJtvDCCwaAIkrdjGLoiyMZhAjsbapjURlzZ7b5Ou6FEABCym0vBHRgvwZXhICyLEAJEr01iuxIgDCXmsgJybwQ9k5jwzKJgSlI1mGUIAwiuGYndxYQEQlUQXNkyyPTLs+LAMuIZVFnhMiCqLmVICYKoeRalX0AcAZB2QUxK5yh3G3HklDMSSlKTk0ZAnFMrXNBJAKy2lPlTGYQNnOOsc1eBCdPZRAwFBhl6wVOaRRpPKAHWCwYDig4BCAbeUYhATCwaSCxxmMsGx32y342dzg5EOK/nXBKBpSQ1fu9EjlzKLquLouArO6BODiBBSUBCOYKc5KcW4QY3UBRgAQwIXJIPQpDM0KAu4NYkN16RbCUWMrAki2Fsgd3CRhq7kd4OyLukaGMSB5jiKYo0DG1UJNMCEEgBgeypkIioFHYNCuRcHB3du4YCh1MnZFo6tZSx5AIhG6FJqEykoK7QQc5LMyxjM0tS79yRqzbNX7pS1/60plf6faJIQQiUjdTDRRIQChyaoi73EFPbS6LnjosI7uVkaFm2nJwB8xUKFNREGLT+ZyQoAqOYGgAwQjJkvViHxgBbkbE7q7BhQU5g8UBRhSodnypHQcghTI1dWtejY0lIIYC5oAgeRVjBhoHGKHzuxg5gSijJwmm4H7grrRCwR3vTxUJUG1aKSuCKYcgBcwieQsNLAbmUIlrIFVwNis5WAYICzfZ5M6HljdF2cTK5hyKBAavS8t0KvpVldWig9wAxBCyWQCDAE2dpoPDTdW06k8QGK0BoMDZEEnMtIiRHCl5KHh8bNzcLGuMUUTM1c1ESlcU/bLu3IFuCITcKocysAHM1KS2jIVlKiOrurBTCA7KbSqL0sxg1rZN1RuHQzPa3PSqEl09MdA2TRF5bIP171++vNWGY08NxMhgI/esAQQyZA+hcMAcMTA0kwiDckafgBYoNCMTFeQmxsTcpJqjxFBag8glWIcIbhgjhpo2k9QfR1G5AwqhFg4p+jmlIMZJMjkxtXAxL0KZU5Yo1mkohxuIrRcCHOhXXbQvRpijbb0MAZphWYowMkQRcmVHbtSFPXIgmOUQSwAcBUx5pCEQF6yaICwIjv6td9zniRHYnjC5nvL5/WHlj8Xzh3WPmsHW+QDX/WaWEJxQxrLVBGaoIgQDMiw7kmUiMNMot6EgMMBsZG0eEJJpKoOQwRWgLCigIAcIVJRoTTzALMNdqNu/m3SciJjH4wHObGBwiIRAIDEP7pEBuIRobh2ZozAp4I6cjYiypsBSxJKkBBfMHOAMtK1xIe5wV7e2qRYMkcB1FTM0slaUY7AGo9UMdaYBoaWYvDV2EDQzB6g702isKsTFmRvv6vbYW7iCpayRUmrRphCYASEwl7kdAU2/DKYwsKFOtgahKfqlmzgCI6g5JEo1ptkLgHRklqqyJyKaEGMAMZgkEGCBGUDd1AQhgAzkME1FCAIXZLg7w7tAuBpcpgEtGJYcWmerIRqDEoQ6ss0IDzmULWSkroYoYw4koEk5CEUiVzNCBhkxOICgQGBhuKe69CpKL2d0W3lz9RBbKUawEWomaG4xUDRAchGChxAiCRrkoddMgrYNTELwosxcgjgKWZ2EODuBIpNAHUkJktBl0GcmJVZVNBllKAUSIwM1G9rMyYJRRjQQqQZCANqMkXELinBhIWFEiXXdCktSQyxR9BxkxARUQqnJQICRgAzaIR+ZF0xs3loekjubMAViJ1gvhgJQRdaOESukxgAx1YpFHHAlZjIUxBnOIQBijTLEQdkBB0JwOAUgJwEcyITkMHUhE1dNSWIfITjANoAqzEGmqnANwiJkUCV1mDjYCUQOBglDKABBQEKAm4M6rz8CoyQIkGHJ1JGeqCv8ibno1BVOUOev6mp+HXD3IAEyajW5I4RSpAcIIVahlxoIIUQtCu3qgbkYcyqYwCIWipm2doAdbuaWIXMJ8Lm1jh4oxkgKiDghRhTkJbGI5AwKaNzNHepgJnJD61B3wDT2qt5Y34EuuAEFQgESz9ktM1nrOZOCJHBJjJQTYMFJMqAgtrYZFSA2UFaQmalUJYg6/5a6gAJMI9b5bohhFjpXJUCdY4nJEVCORQkCVEBPiCmYdpw+rurmksGEAHaJrJ7bZMEpOMEYqKyLXmUVETVXoHWHcOeVJzamwp062ggJBAecXC1GqeshYJrdIV2dsRkYIIO7QRghBGFXd9OkKcSQUuqKP4RJ3QAED1VRepcDSqh6fcDU2hAwVpWak2eLASKIMUICegWci1iyp4I0ZU3ZmUUKQuguH5lYAekc+0wOZ3g/dB45gHyOt2XOCkeIlQMO4wh4dCBDqav9alTKMYI0akydXQuYAOAYzbuwrAOIIIbAOFABVQg8CiSSc89Z4MkyAoHJLZEbE0JBcO+MP9N11IpgmIdCQkGgyDARgUdTNuIMSMVg95RExFUZAgUQqODWjWjd2kuP8yw8JX8Y+SMy/oA5mrXHNfvjT15X+mGwuY9iF5uEoXvYiTyI03gIDFOtESiBJFQAszDBHM4RELeskQN5Wlc7HGx6dNQ7jrj1rtsaqBJlbTKhyzLBGoc2Qm7oFh9G62gyubtnBjGguSV2s6aD54UjBG5zwwwCabaOX1xVA4sAMXJHAs5MzNQCvm4xS6pMEAZmR+88+CAOxSH/8IFJw7RrkB7DA5B84ATACPHOG28rpLzokssRMDLAhUAi+Ma5Xz3186cUsYdcChU5uyrgTSi4bkY77LjDQYccRkyGMoQJU5glUBZkQktuOseGFFzrSlgI5uaKruKyQ+EW5qwtgZC0KvsOcniXyMXCgH/64x8bC71FC+ZND2sOBDa4oskGJDiCsddFgMIUSE3usXE7JEeuGwDJvSexcLfMLVATvAjuGWrC0hhagCTAzBXk2uQhIRfCqTUlqIAZnFpJLcFbmEIYkWBiDiYwknkNqDLaDE0Md4pDGJgwHKBtA0LtGCngKIKYKlNsu9iYAsmpK1ycS1DNcE2pJeqS0cxTC2sCIAwPYsxHf+ojpcTx/pI773qIOiQWUM5z2Wu5HjBQVRWAGKIZwFEhRMwwgsdu90+k7hESJMCMGW2HaRIrIWZGzpkoAtGywj1GSCjUo4OrkpFZOAogYhCHa8ffRygcAssszmwGd4ro6m3d57I7BWxeACCTSFCHoQgFGQgwU0QWlqIo1E0CMzM0A+5kzsQg9jlYHJtD5wvqpm5gZEUZyN3nfOvZoWCAEITD43rwNxk+ABAo58zc2V4drBuEBYBCJZAx1AAPUIETDEVEWxtDAIAzKGfNTgUcxMEhoajQIc0bkUQIEDJIywLiRCYEgcCJk5vD3VNntkZBBkBiJB1lgrsCKkzEyEFaVwexWQGyDEQGA4FD4JJRwUoCgRysRiMgFAXcyVAyhODwGAOr9oGKxaEm3AJJMxzBITGAo3OI8JLmYqYeROEClF0qUQCIsjKIzVACAQiOnJQ5EjOIRCQbcUfbmBWuQtQPLNxlvQQgQKHuEkktxRABk3WQQSDAW00WJFhWmsMZABF1oO5VVWRtY4zceVwdzJA5S94B99wACELCEiQ6PMQYosAAhXTYm3PYr13Nb+wepy7wojlHiUHY1dzM3eHcMJIzHGxGnqsgRSADFAZWeIZ3Bf3oQrsdRTVSS52dKwBMwGwWAicgAwYXSGpzx8AOoAJFgCJQlchOauPMBNRtAguErFUiGJWIJIGiaQmwMzIDJCKCzvmo4M4dQSRhRKxQsSxmwZAUDSlKQiEiXY4gVBVCIKRaC4N626UmkEQlGMxIu7QZbzlKAahEB3LKRsK0DvOJQE9Zfn9Y+eMy/gAICdDttucSDpq6npqa2mSTTcoYx8bGLr7kYq3rIw47/KZbbzW4o2EQkoiFAMBHEjSTgcvaWI2gOedZ5naEuiEuJHrOEHLXlBVGXPbVUlEVs9pkIo4hoTG4N0BBMDAodciiIIAgEW6BKFtu2mZy9arNN90whIkyFj/84c+MoOqxa4sZQUwBIg7S7VlzdicQw91hOaINCEy91kKsxBzIjmreZ079wjW3/HL5aHLACCQEodbQalmoIcEFTdhm62e2WffYcw/FuqQWUNLZop9br1NLUJiFWJBIDRrA2qocW7r05lNPPaHNcI9qpXsJduZha2sYLcg4AAwRBOaUhkxzSWidF8Hg2Ty7BglqCVHQ1TdlhRC4y0PzKsgPLjhnZmq6qEpnR2oOeOtbFi9cdNf9DwgS0Hz22I8XYXy8jKeedNJ4yZQHF5/77QUhLhzrnXz8iX1C8Pb+22+LsayKic+efEaDpG4H77/fRL9/1113M6Q1W3rjjUUIY73qqCOPCCBy3HTXnSFUVZx42z4HkbmwnX/udyaqsflh7IyTzyB1QJ+/8w69UtbbaKMVgyFC9elPfWo8FBOxOPiIQxqg1fSi5zxzUdkrSH7yk2syQxkQ3Hzj0lJ6V//oh23Ka1c+tuO228ZQzVu04dqpgbt/5pNHFzIxPj5+2OHvdgfMKcpBB+wThZYs2XT5mkEC3vWuI+u63ufNb9dUZBcFKYIEgABqQsWEzp0BhxNzcoDFIZjLKwMYOUPmtLJCogNB2CwADFcgMXlX8SSBwbX5EETuDMDRQroMPAMySDvwFHcounIi7pCj0dk9XV6AMUIFMKwRHgRMM2ojIAoowiBuYmChBMBhlh9/HDvGVRAzmGgujcPX5UTDwesSsgrpYsjkTiDqbtK9S6OAw6H/zvnXvenrztTZE2YmITjc3KwDh0fpgCGzwA1AAXdI8mxlZE0gRKA1DKXLhxO4g0ER0hkBLAQPcDi1Si1gpMIWzNB2iN4s5pkJcFvXnO63mIOYhYgBtQRCA3cSeO5Kp5jhhBbIgM5lQbq4m2ZD533qtp3U5YcDADkxmKizOwg0giaApcubhTnmoAUJHTYKi6QOWcY615+p1u4UpIB1XacBgCPEOfXbZd3EzisEIIS5TU4CEY1Uu+RjBgJRApTZXQswO1TgFdxzQSSBNVssgmU1c2asO7d2Dev8SyA4dT2PrtAABOqim97dfAcPPgcK032PwUEAh4jMzRwwExPIoUECddFzZuo46wwZXV6JoTP5XLvJoN0kEHk84uRmMCQ4w2M3ax5PK3EIiXVRqi5K7lYUhRJqGIDCwMkykBkoIxykIAWXUVngDcdMQA3UUIIXxnNrTIEsc5YzmXb4YE6eYLnDY+qgDlOCmQiUuctbdsAUAkgoDBmMIgoyItEc78BchUHbYd/AQAJXAzJYQcqBn0rx+39K/liMv8fLpBOa1hMhEIK7w9eW9fI/22P3y6+8dnWro2bwyr1eJOKaXWIF5AyYmIXcemqMM40hj4VZlI8te90zNpkvVVi06S9X0Eorj/vMv57z1fc+8+lFv4jHn3b6NIfrbr9/fGzhRhPrffGUL+bZti/h+xecL9SbHxaffvJnqPfwRT/68HHHfPvZz3zlRLlkn/3fMQS3RagxcHHAgucgeP5LX/XZL31/bfI65b332CHMTO32rGfM52Ih979x3Dmc5MbbbvvsqR/ZdZctC+kfcOCHmkg18O3zv8qxomLRsZ/7MoBi+rFXb7HBRkQTGz/9hlGaKUoIeqmJIg3QAmqKUFkhGfMUkWR03z0/740VceHiG+5bpYZeO8LU8ufsuHVZbPyGVx81r1kSipwmaqHGWwNXqouaur/jjs8syvKkU0+PwQJNB3v0kIP+j4SKwobfv/K2WVQNxQQomgQzFDGy6sprbrlWNtjx7lnMMEimA49AVUJwZg+zTioWwJUxwZmN4Wkka9u4Cj49DgoDeu/h//TBI/5x16dvz9BpFJfetuZHj8yuyWt8NDVv5A8vvf+OW2/75Okfn/SHVg/XfvHzZ9952+prbnrgjYcf1aQ1Oj3zT2/fvwfZ58C3HnXUP77k6btvuaqoBmsmV9/xp295w0NTbTu1thw8etFF37l/snnF6w9ftWKtTz+w0Fdc+osfXHLvLe8/6biZ4dCnRt88+aw7b33g2z+4+P3HfWrG9QP/fNS3v3K8YPWRHzxqdjTMMzpvNv7skh/J/6+97463q6j2/641M7ucc2sIoZcQQklCB7GgiPJE9KnPjoooonSQbnuK7amI0psUBREQEQWU3kWfPhABgYCA9BIIqffec/beM7PW7499bnKT3ISqz9/jfD/3k5yzz+zZs6euWbPW+qbZf99/29z2M+3nn9/jY3sNzQ5GAoYfPXyfD//s7GPnCwdnjzzqG9defrFvzbnvgfu+ceqZz1F64BFfq8pnYuvvvnz4ut9f1SK32+5HvPeDBy/U6vnnn1x7oGkDjGG1Mc3YhNBQTpWcRCjEhGiiqGHJancwBhHgCBY1Hx0DDAMYWIfaJQBkYDqfzai1HODYpKhXOGIgZ24QYDsblwT10RUYyIFmLe05QlprMA2DLZAaOAPA1P4Yo7sBl4J6gD6LhkF9fAgYC8NgENghB4O5pjy2IAebgJJREuTOu9lFtswMQmrABqjN9lHr+6n2bQITHIyFIySwDmbsnMG1g0VHBQVGHRYUYJAhNsQEODgL62Cprh5T+yk4ShgGptaWoMnoI9jO7wQGWXCC2pm9XvUdoWmQA7Z+IDMncBZsgYQckMLmMAxCBmR1mWpxAc4gt5yC0IRJwYZspyEYBCQECxiqDV4dyDmT1IVp1gFQKIU1sCAGwQIp2I4yFdpeZM36Z7Yw9TEtOi9huPahS2ANLNcbO7CxWUex4xiA7WhAa6EDxBZsiJAAef0GXL9FigQAcuPqTOs7M3ACx5TWUfzq1iS2QAqCcQwCW1MHwK9dCuqGYzgCU+ex9dvVat26HmytxBptjoRhQKCkLo8lpJ0yA4YsgQ3Zeu0guEW9CHXbE8igWdeZScBNcANk6iPvFI7QAKe1xjivA7U6zpEQHJg7XYwA0wDlIGcYKZB2+kyC2lEHlmDBbBy7Tj93sCks2CCpB5/JwSmAHiCrd8x2tCPXpkV1Y7ADWZAj2AScAUndGThFlsOyAxqwFjmQEaFjCwyuCwMDJCCkxpi6m6XgDFmCFIRakU+mngd66uCn2aKGGD3P6OJ/Ea8V4W8RBEjY1psTIgOxsOnWW2128w1XW4JXA2VEb1CJ9xFJglR8ZNbEGmJEhEBtZObHp5zzg+PPGW4P/f731+31qV1yRm4bP/7Rj+9+4PFnn334lhuueeaJJz6x266PzZr1zPx5+3zmUw0Xn5v79B//cltVVb4YfuCvM++//wGv2Re//c3Lb7ruqTmzHvr7fa3hVgKkNo1BAcvMd975lx3/bfsd3rqtYxhiRCZLf7r1j/OHZy0o4qk/+emz81CBDj38qxdccGE11PrbPXfOn13cddftp59y6khrXgj+gD32MBLOPfPsSy+5fPZI+4abbvz6N4+s4KGxjCHLMgUiYMhBwAEkniEx6uSNNm6XCz/2sV3ShA0BXr580KHHHn9iGRdedMkvvQQVUjUIgRx7D2PhnLnzzjsv/vWvQggM9lW4+qprttxyS4lhJLTe/ObtGTYRJPAqwuAg0MoYynqUUinZIwEIRkCISBSuw7hKi7i3VAElECXGOuc6J6SEo479wbobThFDEkkCUinTGBzyII2jTjzx0Wcf/e01l3zx8CN8xVddc+Odf73ziSceuP2Pt/z4lFOsNWw7cbPPOePsqVOntMs2pQ5ldeedfz348wf19fCDDz38s/OuePSxJ37/u5sO//xefYP5g/c/dMbPLrl35p2/u+Ly73/l21mky674zW333fb32U/u9O/ve8+73qtl2GjyBk6bgqZ4hWPIMHhkyuS1RRnSAPUtGG5v/+ZtV1nJoj33yC8e/tOfXsiuzyVJIQhRk0YG4Pc333TbH/7gFKxAFcFpmjTWXHPNOfPnrbHW6ju/Z/sYIxEqD2tZICIyNDTknButro5XU8exvYsuuuiiiy5eg8KfwkSJMBJCVEApQ5Iff9pJ5fCcftf81GcPaIsFR4cC6gnkKzibSllp6S2U4WHK1sj8C3597fTN3grbs+WMaZtPW19aMbT9f33zuyEZ6Ju46i/OP2fB80/uud/nkgkZ1OeOHIqbf3fd0T88Ou1bqccNXHDmzwxyNb3/+YOj7CCyHvOHG6/ty4yWntRaTgBDZGY9++TGG03JDCjCKGk0yPT4k47pmbAqZ+lfH3msdCg5/8Snd994+gzmsPWMqSPPP/WnG645/JBDcperwkGqdnHqiT/aeMttVmr2vXHLLSs/whBhYWvKkXatfoiFh4plWIYvW8yMqOJ9s5EUw/PrIz1ht932bw2AUH1My4YcgJqoI8bIzljLMfokSQBYm22x+dbf/va3995nT5UOcZnhAqHliGOEYRBlEDNjo40WPP3QGpOgEUGUkVkGIhBrM3g7aikiSlCyIC7LdrsYUZjAQAo4CdVIqcJsGxbbTp/KraJp+gYmrffeXXct8hJJFWPcevO3XHn5TZf85pJ7Zv7PPbf/4Z4/3cqmx7jek089n8FRvKg3qW2JR9ZotYtQjOzxmb33OeDA3996w22335445mruHrt/dv/DvnDjbdf89b67mqnTBcVWG295zbVXXvTbC+556F5RVg+u8N1v//BjH/1MRAo1m0/bsNHbv822W6277toA//XuB1zWnLbFFocfcZAxuO76q975nv9YZb0padIoyzIq9tpv/3U32KSZ9cy8566V+3piUcZWtd1Wr2+6Vbbaatspk6c+88xTTz775Ed326M3b0yatM7QkC+rsj5SbTabRIvYyaSzW6eOMX4XXXTRRRddvOaEP4fEsgNJxwKBU5AD45DP71P4kQ98+GP7HHgYCIaKniwtFWJQemXXJE6Cbxt4r+1GTw7DCoMSCdL+rL9qDaWpa0eNJoNEVCPznnuyKEfggIYbbreqdmvCQN+3fvC9+fPnjIzMn7ewPXX96ZGSEYS21EYYPiElaxAQA0IQ7z3F+MC9dxq0mQIRyOb3/eXW31x++fzWvIWVX3WDqdJASTYgAxwc+/ZcJ62cxQQhMqRQlEli+yZMfPyJ2XNa1VB7wU9OOCGFUBAj3CDrPCAwaQqKMQZEzdPMMKlEdjaUVV+jyYKF8+e1qjIYKiJ8FGMdEfugYFYRMlB4xEjEeZ4XRVF5VbGTVl/3sYcf2Xe/vXoajdNPP1ciQEZRU+rVgUQVSrCZdagqAHCcABDpRKgAuDafqa10QFAGlIylRqMRgI5yMAzBRk2siCSQRMIZPzhOquqp5x6fsPZa/auvVEr747t89te/+u2JJx0fxE9df034kT/fcoPEIe+Hzr/w57Ofn0eASsUNKg1AztrkS4cd8alPfuza624wad/0TTZjiv950P57fmq3q6+7Prpswy22bGn4jw+/79eXXHzSSadUw8PTpqxrJBjBG7Z923nnX5z3Ngw8W77z3vsXFIXrW/mMn/zUaNh006nejzw3d9bxJ514110zj/jq997xvt2a+cqf/vhH9nj/Bw8/9IiNp80Ybg+NxNbnPvOpzaZtMKGRkuL3d9wzEloTBlc+9bTTovhfXPTzr37ty1VVnnbaaRdccJ4xpgoVMxdly3eITnlJbd9rbrB30UUXXXQxLl4r68GiVdABMUaRCEs++KAAO2jtIIuVV1kdSRYlSPDBl6yAgTgKAmVKXMKgTFJ42WTaOvfcezsqzLzj6T//6e6Bgf5SqgIaUcAoLE9aZeKVv/kVAi699PKzz/+lyfpWXXmN31z8K5LakgkAhbbvabiUYREZCkMAK4ETsDXOutdtvuV1v7388b8/YE1sF1UZ1OXJBhttzJw/8PfH7n/o/oUtwKTG5lENQujpsaEaeutb3nzMMT+QUAEAVJnW2mDqX+6+FwQX0QfkIELqIjsfckUdJC6owDECafAhtCk1YBhhKaMImn09d8y8474H72sVYZ/9DmyNBAJSSzBWSaJ4YxhAUbRDCMyUODImQQDbZLMZm9562213/eUu9WiJE9sUkcQGaBWlBcN3/PXetH+tBSM1D6fUMZPVoWLUQV5G7dxFOnEaybILXhSuduABeU4pGpJQUKw9VxoUcfU1/33+L3+53nrT3rHTv3/oQ+9eb8P1AXzpS1+aMW36m16/zV6f/aSof+qZ2etNmTLQN2DZxOiHqmFvCWm2+WZbf/RD73/Lm98ohr579LEzNtniDdts/bEPfOBN226NGE476czJU6a/Zccdd9v7U5M3mAzgB9/63vprTCqHn19vvY3Pv+DSNddYhQ0YFdSrSSuX2r5VfVBGQDEfpiyr4TTP0p4Jv7995uyh1sjIrIvOO/mii399wg++75yBcbFov+vd73z9G7apJKo1iIBymvUlJllzldW+eNjBUyevHTU++dTj06dPM4aMYdHQ29vsxKwbPeqtz37/qeOtiy666KKLf2G8VoS/xSijMY6MCxKddQaIihnTN82zCalJ3vfud3/1q181eVYBm0zbZNXmas2Err3+erKjWqhgiXqhfMxJR++z/269EwZe98Y3XfqbX0cgRE2zgRQBRJ7clpu/7gM7v6M/dVdde803jzmhrY0tpm/z4Xe+p6/hOOuZuMrqwyPt3jTH8PxU1SAyKHipzZxLQBA1+pUnrXHVb67aYP3Nrc0GVh689nc3rb/hJrf87o/OZN8/+nv77bdnI4VWbVIWWFhuxzLryTfefLN/22lnmzST1J586slk3PeOOeb9u+yS5a4nT3900omkdtMp07baatvzzv7xWhMGr7nyWmGwswEKdWScsbj80l/25f0/Ou2MLTbd8t07v5scnX7OWZtvscXaa699wbkXpi4PAaJVHVHXMKnqM888s/EG09//ng8c8YXD8kbffTPv/+1ll/fkg8TZDm/b/odHfx+CUPsgsiGokpDhIIaT3KWJDx6dEFAiWnlAOw6LtQA4Jh68QiJ8J3wCgviTTzp2cMKkW++8/fWv22LvvfdGtFttuplLzUnHf//6q35j0dh049fPmLF5njqXuhOPP2HK5Kkf/uhHd/3MJ9N8wsbTNjz8sEMTS8ccfUz/hNXuuO8vG24+Y6999p00abVdP/6JZpZkJnnDm7Z/2/ZvX2mlwQ9+fJdmf1+WZltO3+ad2/376zbYZvI6a6UNl6buu9//7tQN1zvrx6c98fRjMzafNtCcNLGvZ+HsBfvstS9b7sl7r7j2yr32+txTjz668YYzUp7Q7O177/vfs+Y6q1ICm+RAYtnl3vcYXHThpT3N3rx3pVNPPeXtb9ueGHvtt2+jb8BmvZf+5vLdP/3pNVaetMmGGw309Pb29t59151vftProg9ExMzt9gjzYsc6JcGow1NXAuyiiy666ALAa4Xbt4aqUhAYExhBglGxbKCRICDTDiY6ZiCVFlUtSgZK2IRVQaKixKTQEBNmRA9V9aVmTbHGK1iRckA1H4kBXAV2dbiXMpq0WVFNTSkcSrKpF65UG8aTjigNVjFYY1mVlCQiOlTwjCoHUDIEyG2lMZIhuExGwInCVYIICKMUpEDG0KpwCQHB+4qtY0rroMgWCSIQBI6FI8GEduGMheFguEDt3QcAVZQ0MkyAKSAVvIXraysMw6EtoR1d71BwTQtTwTkoBQIH8aLRGSahUAWT5UXtRaaABkiE5VYgY60EsIUNMAZeAhlrIFqVTFlJVEf6TbgCqyKtRC1bQmR1UChpIFEYq2AZOuG4r264+dZvffuuQZChNNxWD7IDQ1TmSNEWm0BCuzJZZJMyOBZsWgIX0WCp/QLb0OFSreNBUhBBZQEZE7xjk0aBs0ElRlhhIxCGOHA7thumWYfHUCcB3sIhsrAEKgRFiox9A4JQRttH8AwTC6oqsgKbQTMVeEXiKkBRmo5bI6xEhBG4vliTT0RVU7UkkG0CMZVgyFXKyvVpeYkQ2TaG/MJG0icezgnQqio59KAj9957/41nTCGuFCTCDCVWgusctXfRRRdddPH/J7rcvi8HHVMzoBIQWzZWxRMBQjFQ4tgBUAFnnA1EQaLgSORb0JKAoIA1MApm2BSNhthQoe2pMgyUFjoBSEIkg0QECDBJEhFqnmwfIhkn0ROLNaoKSA+hnarCg4RQgbT29xeBeCjSFDZXtYYsxZACgjQEIsApcoYLGGCkACJsklUKD6s2B6UREIgNiprYIOEyjCi00ujyDNbWkQ4twBBfFaRIwDCo6WRBTdiGKoyBEJQsux4CNyyMwlqooPJBhA07Zo5RAbYu15r5rQ5u1YkQaOowDExINBr1UBiyASgDM+cAUommQ4KuqkZVnZKJdejUurdLrGk5VaFwru+d7/hk30D/8MIWM0NI2IDgYMqoyFhZxWhiYpNgCzASIPcwsVYuqgJGuDcxGRFigESQyWKMxrEwrK0tGB2DahJYjVBQamwdR04iSGE9kWdiBIoRSsgQHaJCxTY0QkCIypaQIuao0ppR07kK8LGOZVFyLOABMmobsWrVAVhhSJUzmwKRRQ0xROpyR0QiYpdEiY2kEQXWQTQcddRRfX39Z551hnOuDlInGmsvGUIngnYXXXTRRRdd/N8X/uoDLxlF/cYpA4CHsCH1FdjCWNXRoPJgr1aVmAVoszOGDKQOWQVBhNEoAWxLVCVGDLygcy6sVW65STEaMjAJlJTUwRO8syaoiuGIguGZEsAhVjBkGKiDbOoiB01EsFduK4RIAIpCAmFrrPWVMgO+SFEagRMwUMXA5AhO4WJN9QULqMYIgqgkSaLQqqpqDRA59jUxAdTY2pkWIBUlaIbCQI1SAALVbFtIKLIDLEFFASQmq4noDVlrHCJDiEEhBEBirOqoU6pUxw2mmlyJBL6qo8uGOlaWEkiNAUh8FCILtVCrAlIGRagHCcAMAUWo7nPAF4IvFs5dMNjbgLJyakymCgfrDEVCoRVZx2QRFAbQ6CuJaFQwQgB5IAnIBAxVJjDDV8FrrU6NMQiTCQFEjOiNijMmKtUMpGBwAhVEYnUQwMAQjEPGsGCBjsDGgAgFGQmAhU0lIQU7jdQJ5q+gGIXVWoYqAhMnVGkUgo+R2WhACpNyzb2hdaQtA60ZwNQYgSwiNvjCF75QFO1Wa3j9DdYe3eagswvscNb+s0ZdF1100UUX/8L4vy/81Tbvi90e2UBVQxBFTagEEqgYQqiPt2NQiQRYZxC9mlLBjERKUIRFRxwxzsc4wkhS9AdIhZFgO2Et1YNhEKNGgbFRlOEtgtcyMksdWjR4iHoBjAk1HT0BVQlWBhws1wRJBJfAR1hwQg4eAlRRXEISI1kGA1UBDUzqDNU8t4xad2R9VFiCs1UAMSug0J40RxSULYhnmAh4ENh4KcQiUkySJHrA2ZrNs5BhRQA4VrBErBVQgSqquRUIRVFFUaiiwxMGY4wXz8xQrek72u1W5UtDUtQv5yrRhYBvU2gBmkCdbUeIkmUTfABxMBSdZYaWLXCHec8AUrVBFtEx0oThCEFU1Hov0IAAAAGFYSfqVBgQxAWQtnNZS1ECAQhVAZFYIaoSETGqytskcTYXBIZYw0QIgSV29JbeexUoOSAieAiIGdZ6iJdglbltOXIVS7URWVaVPgWDxFdtAStsDAQlkWjgncIaCKyaBoyFItb9gES0UsAYgqo1tmwHjR2SvprxFACBpfZ0BnixPm+J4UxkxoT3Y+2q/brooosuugDwWhD+gMVBbokoAiC1BhZSqgoswSBGaM1SQM44yyRBVVHF0AItrAIUqYMhINY04XTxr889/cwTUyQGziA3UI+yIkAQBGCK0DnzFnz8E59mSiQYjcLECvUQhrEmBUXjYgWATalAAjQEOgyA1RikHGABI3CEoiwOP+xLjzzwmGhhDQtUDSmNkhZBQVGiZ6hRMgJDUIEzpkIZAR8jAO891KoCvjp4/8+lLttj331bsZYkojUkUCYboxqLqujQ3TvOajYIY6DekypAPiBEYQYRkiQx7FQJvoKFCgwZyxmxAQQGMfpG3kidi+ojUPg2ZOSaa3598hk/tIyKtQRKgI0jckTWUkJAq8KwqFaenPNlIaosKlKyEQiF0pBCKoiqCgWx1qWq0TAoVimMAYg4MiILnIe07rzzLwcd+tUWsDB6mzqAncKRraqKGOSoQixiSdCqPVIrTIeGRj7+8V1bI0NATKwzBhUUVMFWCBV8vXEoU8PwSI2FgSZ2mDWQS1wPgoEv08QZsNTsqEQMQhVQKSsiuEQsiiEoZmw8fY+99o8SLJMlYRJAysonuY01PUWHc1m5Q4xOrPVmYanz3MWOMYtYarUr+nXRRRdddDGK14TwV6Mj/DEgEaFtCSmRgAW07dZbPPzAAyS46MJfvWunnUO7lRgQwaV5RH+e5FDAt1G22FJFGNHIWc1fRAZwNXtOCAkDHkrSFoHNfAwaUY6IM6kxTQIJgoNVsSiBUDLajLSKIAOBV12IxHtfRYGJnJgcXqRVGmiWpAtbRSlwpDG2FBqJSzEghyQFQWvtUIja8gxwrYZTsAZGzFMjPqQuUeIKQG6OPu47d977B0nsiGLYqwNIgoX6AhoBDUmTIyPAAqkK/MgIVIilCiHCmTRVMBBCABGqKsQYkTC0pfAxAKCyVIiAfJQCCACrGANY9YjtsiyJ86FY1TZ48DBAjO0nH3tknTXXa7hVJzRXOmT/A4kY0GNPPdUlWX+zcdLxxwjTxtM3mTiwamYH8jSfMGHCguER0yFuQigKZ5jFU4ziUUREY2AYrKpSVGUR4YxDJPjCGhDU2KQdIcZGSGKMSEzyHKrGwPuYJIlzLsYAIu+RAVWoYAxShlVIlZKDMAhC8EAJz+AOY2lgWIJqVbVViiw1GioSMCcCigqvsDBZTggj9z8085QfnWI5MVCCRxiBljZ1LUWb4YmFVAk17RopGSUri3kLVUiVVDoa7vpwekxg59fQSO+iiy666GLFeM0tCQJEApwlxNoCcNbsuWuts/b/3PoHw7Bqp0zewBfl3nvtzkxszP57f4Minnvyob332OWHPzyK2A2uusbckaISV0WEWPzqV5dOGJhYzG/nkTefMrm3SetMXnt2URx9yimrr776Ly+8oL93kM3gdTf8MZSSwogEJsA4qGp7/sbTpjeTvsG+tf72wEzB0A+P+9a5vzh3zXU3sXbgxGNPAvDoA/enhp1LzznvfEkyA3/1FZdaNmmanHbG2VWkec/O+fjHPnrkt76RNxsTJkxsDY9AEQPqCCmWEvL6+b0O+PlPf5ImrjFhpWeHyiIG25MsqIZa0GDRcKTFyFYbbZSRndBc9axTToEpizD/8uuvbDZ6Gmnjx6ed6dIErfmbbTw1y3pc76TZQ2CLWA1bBwDWWmtdaM2dtsE6PT15ljRPP+1Cy+6MM8449+zTGj19Se6uvfY6itaVw9tvvfnE5uRdPrSXNSs503BAqsgYLK3ESJa7HXZ42+ynZ/n5c3IfZj384GVXXv3nmfe3Kz/vuVm/OP+8+x548I77Hnzm6dk7vuFtc2bNnvX87P6BPlaEIMpq0wQxsvcP3XN3byPrbfZv97Ydy3b83G6f3u7Nr7/4nDM2mrTmhIFJDz/08IP33NGTUmqTZl/vzEcfmx/9948/6qyzT9twyvqWspNPOeW73/3BWmusfv755ydp02U91153rXN49M47e90AJX1v2mnH+WGhsYTIKBUG7MQhPHLPzJ4kyRy5gZXvePx5YGje87M2WnfKYM8ENra/v3+kNfy5PT/tMpPkA3vve7BEaKvccotpJmscfcLZUBMrf+pxP/ztJRdlrjfrcdf97g+FwoMikYwaCEAZIh32+UVWDdoZzkTQDr19V+HXRRdddNHF0njNCX8ECBsFhxgaDAqIio0237zVGnn0/gfWnLSqUZs3m6edflqIpY/KsfHwg7NSZ6+99uqtttmyFH/oEYffcdfdzmQpZ3+98+4TTzx+9nPP9mY9559+9jUXXTLUbl9y+aWHfvUrn9pnn8efmvXJj+86PDS/1Z633ZvekCYZwRplKCARZXXWyWecfvKpsVh489U3HLzv3ghDjPZZPznr7gfufuDpZ/54+23PPfXYhz78gdmzng0hfOYzn6mCnz3riTtvv7VsD5Vl9Zc77n74kacj8U2/v+WNO2w/vyi//q2j7rzrHgRYB4XGUCIQKamvbv3DzSPDcy648OeHf/lrwg7w7FAZVIAHiHH7HXf5Qoaen3XeT88ZmjPr/ofu/fYPvvvsyPBI2d53z33RKs878/TLfnNJKXrTH//8+cO+FAQmSaOUAGIAVG2iMx+4ozUyd6Q1ctYZ58+fF4eHh88+98yR1mN/+cuffnHhrzXigD33Pfq/vvf8/Ed/c8klCxf46MEAQkTVZlLVNqjyRdHTA1SYeddtg83mZVdcffjXvhVgMkPf/PpXr7r5d5HJGIzMWwCAna0UTGCKAoIwiH0xvNdnPzl31hNlseCaq25Is4Ezfnref//xlg/u/vEH5zw5b/5z662/wdRp6w+3ny39wutv/t3RJ59aMsjQxb/4+X33znzqmaf+eOtthxx26JNPPf7JT35yqBguffm2HXcsRuJBn/pc6/lW6atLrr7eJVmAqACOoKJxiKr5m200RYuhyvsb/nzbV048CXbkW9/4z5uuvWnhgtbRx55y0a8va+bJGaefEHR4fjmfbPPhB2aRTf985+2//NWFeTMDJcalUaqTTji6KJ+85fc3XXTxL7WmaFNmZVbUPicwChYmw0xE4LHGDTUbntbR/qRL69tFF1100cVYvOaEPwMocRtqjYUvHcO43OTZ6muudvklF6/U25u6bGho5NeXXJzlqbP2nPN+FITJ9P3bO9+35eu2DYIvH3LQ29/wRmq3Pr/3Qf/5hSNvuuEGYkMunnD8Ma/bepuBPH/9tq+voggRuYyInAlZiiwFBNET1EIjWLUlv/jZb7fccksK2Gra1NdP3xStEavVkV//CmeYsFp+2nnnPL3g+f0POahvwqCqVlXV08z//Kc/HfVfxw309KbsfvHzXwAE0JvfusNWb3g9kOz22c+96W1vhoFCBO3EAuwkkkvo4IP2sQlvufkWC+eNUGAtQsLGGBM69aKnHnNMnvVNmDDxiYceSjN36RWXffXrR3pI7Q+M0p9+4qnTpm2VZtlb3/h6SRMwUAbDIIKtQ6FwOO3UY7Osv5kP3n/fI84aBX35K4elBn2DfWURWyNoNNd64w7vhk1DWabOOgcPRGakOYREQjMzN994Zdbsb66Uf+qzH08HBgKoFSEKBL/2WmsIszAkoCdLiagtahnqwYYCAgjwhWti14+9d/VVJj10/zN5gqINgL0vk9SIh1UAEeSnbb5Rg/u2e/ObCzUlIBwOPfiApJGvssrqPz77HOcoVKX3HmQqiAKN3HzoI59cddU1Zt71RIMMkAQVtVJFFWIyBrYFP2eLjTdMXP6Wbd6oGQMtXw47dsGgMEaMRYw3//bSlBsDjd6fnXO+5xRJxllS+ZaW5UjUyAwKRx75JTisvuoqc5+fowEMsLBR7tD2koJUKRKBO8THBsSg2iAQo2zIoPojdaJn/68Mui666KKLLv6l8BoS/mrLKAt4KJBFibVZ3Kxnn3v48ae23GbrP99665T1p1o2Tz311Je//OXZs58dKYpP7PlRT7pgSHxMenv7LQERDeJeq/956P6PP/jE3DmAhVDVP9B89O/PzG+FVuVPOP4kBYLScGuE2Hs/pBKYEQTWAqFCVRBnhvqIlQjEsAIUZe5MWbYjoQAUeODRh4UJhquizFPXHh4yzCcf951We0jEP//cU+tPXi0GZWfV2BLImw4MWHitGKKowFYtA9LME1Tt1NhNNt4sBROMrWPfAAo8ct+9191448LWwnnPPz91/fWiDzZxw2WbiQ0DVYWinDCw0rzZs4aK4tGFT590wjcEgE2DVACYAaK/PzDzkkt+MX/Bk0U5b+ONNm23oKrM6tHOsqSq/Px58vhzBSRFVGdi4mIhKIBgyANqMjJm4YI579r57UV7QVG1nlk4644bbuQk82StIRjzxGOPBlA7gAAHBiBQBcgCUQgMAayFlnvs/ZkFrQXf+dZ3Bno38O2AiDzPWyNDuavDX1YnHn/M/gfv1yqf/Z/bbi9CFCIlcc7Urh61I03qrDM2ggisICJ88pBDn5079/hjj11tcL1ifislS6yc1qaJon7ohJO+vd9B+xTeX/G7/7aI0LjJRtOmTtswz1e6beY9b91xhwWznv3a4UcMz3t07vDQBz6xqzhbaAgoU+dySmAoAu2qMEa1tbCRJc1GFisYqYmNQZ0AfirQiOUKc7W0R0sFd+m6fXTRRRdddPGaEv5qCGIDmgJCSYSNqg7yuhlbTlhl7dN+eVHVFEl8atOtNt0uySbOmjv3+kuuzK0mPTQci5JApIYKoqEgQ5PWnHjxby/+j/d/oGyDtGfy1PXu/tuNnqMC/cDE4Nc1I8Vj95VlHHG9c9kujDFJUSAWKVeNYTSf2mrj+N+//4Nn3Pvwc9f/8R4zuN4Q0mHrFegFmjq88fqrnP+rs73GK6684Zyf/Fycm7j+emf98kI1RgUiKB1a3OdC/8S2mRCGU7TVeAgSyQhZCQZmB7dwXoLnSguecP6ZZ668StpyAsl7fHOlecVqihSY3+pfab0ZVY47nph7y2Oz5ij9xw5vv+Bb3+4dqQBUucPKtOr0VW7+661RdaJi5aiJhoXW2rKXItoBBZu2ydebumWWDtxz598fenymGURhWgali62knGeSoZ61+dmH/vLk/Q+PzMZH9/raPOpnxoDE1C90Ok+xQOHAAyM+KwSwlMEtTGinnd906tFHcgBowhFfO/Wdb995ZYMUsV0Mj9gYuCQsQGhD3DBydUAMiA3wgMCddu6Ju3x2l4fmzYlpc83BVddYWKyyMLJHcL1imttOWRcobr7isgmm0fC2xzdNq4KoETiFiXFSX/XYn6/ub4WGT4KXgtqQNlP7J6d//8O77PTknFktuDYcQaQYhjgKa7Cst8FGW0cUt97yq4afjdB84JGnfBX80JwLTzyORIaajVW33d40Vi+ennPP5Zf2DA+lPrM6gSUiPJJFdUImWWmhDqKxpi9D2po3iMICSiQEoQCuiJWRWKSLhTsC6jiVNKruAwwcISV04r6DzP/KoOuiiy666OIfgEX7fx4/5sPiFYIXGYWPfn/NoBPwr+ZqgzKxMUREImKthaoxxrKZM2dOCCHP82ae77bbbgcesF+QUFRtNmqZSELCFkiF+iM1Npq2wZe/fPBqKw8umP/cUT885qOf3quvp6dpklNPPtlZQk++40c+2jNx4oQk+Z+bb8yN0QhEWKglg8bAt8887+BDD0nynm1fv+W1110NavjSZtzgehmnbIP1N9l5p/f09OZXXXvZt777ddKw2bTN/uN9H2TTcEmy8qRVWwth4Ntlm52FsQARjI6yeCkgURGIWuENm7+u6bIH/3b//p/bDRqnb7XVRpttd+G5562aTrz5ylu22GLTP/7xDz02PeGEoz6568cbed/G0zff6V3vGxwcbHLjzNNPgsH3jzvuE5/cfSDv7W/0n3nqj2KMBuTz4FVSRgbZaP1p19z0J9vsPfms43b58I5cDDWQhjgRtC4lawXPmfrjTjlpizduu+EmG//qlxe4aiQNcGzABmwZJhRlX978w3/fnDcbZNxDjzy5/Tv+/V3v2DmnmGcubWbf/c5RG6w7FQoYX9giT6iJxMQcnMOSBUJsw1kEs+2Wb8rzZm+jMXX91Tdef02G6R9ctYrcO6Fv5Umr3jvzb2/e/q1v/7fP9jTW6Vupf7UJjQaQJs2YNH3wakEAqgDT2G2PvdPBHpNnv7vlpuDj1jNmDAz0583GjGnTp06ZwkCMQaEmTRAFTNu95c077LhzX7Onr6dnzVVXg00mT55sE5umPVnSPOCAAwYHB9M0TdN0l112OfDgA1Xj888/v+aaa37gAx857LCvJEny6KOPttttIq58rVVla+3SvVlfQyO3iy666KKLVxevLW5fAKoRRAImaPTijAHBSwAzkVKIRghsVVQS9oBWMA6OAhAkqCpba6OAjQHgvaoUacoaKoKTwJzaQBwgCSIDRbtCmhMTaWnBQKKEGFuJiQAjmmhsEJsS4CO4BYth2Ig8A1xQZgKHoBWICYmPnJm2KEBW4RQoSzQSgFD5InFMYI02BtgEFUqmaBAI+cGfPeSg/fdbZ8YGIl6TFBDAG2GUFkRIAA4xiDFJGWAcAkIKVSGQBcBUAEMK4zEQIjcIsSw5N8NQh9LBmQCQibGtSVKALGwGhi9ABJMWASA4C4JncbEKJqEKBozokZKyiSCNfthYgyoi6a1gQVCprDoYFVQOBuJEoQYisAqEkgwLOxIQoaIoHFOQVJVRhnVBYnCpAEZ9GgLYgWzLi1pKTHSxAmmAgJuFsiEglszBkhUYI5YFiCUoiLMVGYYlhatKKOBcAMFQ28fcGQllYggSIQHOFmWwaV4CCtt+6o5DDvnPs37yyyTPn35u/ucP2e+C884RDQllEFQtJBkAwIYoQRAdN0Oo2EQmUaiqUbGAZaJRmT6AhGCoq8broosuuniNYUlu36P3/MQePWikaEgEmUXcvqJgAbPiyUdqbl+jjpya1yi3LwAiEpUoEYBzBoSakYKJffDGGBiD6MlxFCXAJPChVFSkbJBaSkUpEnug8HCO0tRqLMgmAaxZApIAAThCEZEleQImqCFSDXX0aJjMI4kxA7IqKrHE2ogLvYi5EWQIBCEhCNRDSCK8IFgDqJVognA7VkGkmYJIong442Hb7UiATVCKGDIaJAihHR2xsIFhTpilJA0xMMjBESDQqu5JaIfEQQQW1sNEsqogqT0+rCD3kXIGFCY1ouLgAK1iBZPGSk3SBDiB7QQANAbQsjWcOrCBAl7hBZwaJSBUiSK3dfxhgsLYJsQgaYhEJkgEU+JDMAAHxBBBkQm+9MposUia1hR1xPAMIkpAQV3kBKmFidYZC0BgNcIEaKsdA6dMTBZWwGBruDdqdBSACJMQNQEn4pWqSFFMAttgMogeQAXAElInqlA1QM7GAJZNjALDcElV+SzNooiUPgFWnrRms9E3ODhInKyxxmq77/6pmvC4Cl4ikhwqNV+bqCqzLUtvjGGyPkaAmayIMHd8OBb1YXTjNnfRRRdddPFy8ZoT/lSViR2b2hZeBVIT30NYoRqhoRMnTUIdVcM6ZUQEQWAQyghhJYA7izEp54KEbFJULQAKDVBWIAjagRWiVYAnIlVSoghSmNoAS8kxGBByzhcBajO2IQ4bDWQBBRnLcBGsYA0COMvOsGFjLAtiC1IQBw8EcJalWgEAGyp94dg6bsKY7596/ORNphZ+JEICKgCOXQwQhSRSUoxQywbOiopj+CKIQAmKSMwIVAbr4RJDKoAvQZGUEWFhrWn4CJM5jUwRDmyEozDYwCDNFdo2CEUQJedsqRIIJkmSwpdKIlQCCpCPMZhGRWkZ1CoyUkewhiQoiTE2idGDfJpSKQUR+1hHqYEGEQlMzOoAsHURFKRSSFGGlGFUQRVMIGdbABNiCMzsYURgyQWtgEggCapBjJISvNFoSZkkamZS70tDEGO8BLaGwBpgCRqUyRprg2rQ6JJUgYRtT5qbqDD5aWeevWDBgqosK99+x447qiqTddbF2HFVCaFUgjVOhdPUERkfApMVQZTonBsj9oGI6jPfbvyWLrrooosuXh5ec8JfvWSKiqgAdWQMrRWBibNA7bkqoSicNQR4wMIieiDCQRnGMYMtQkqBIBG2RBJACuTOApZELbwhAhvkCRhOKYVhOFFigFFZVMSxIjChLAOEQHANCwNo1TCWibwXELyvAtgjrVSdZUSBEIAoEVCQQNqMWCIOiQaAHFQQ4Z0xgIEwrFVbRW25BBW8Z1uSEQUAdRhWr2y44yMQiVQVWWYds2ghVMfOy6ztZbW2rp4UINHImaKCF3hjUJYCwBhXlp4ZacIxVICAjEQoGWc5AtAWi4dH8OAkHZbCWkArVBXbvA0qAZtkqCqoSlFYWDYGTgBvrIlRK5GEDaFMTYAFAHJsSA2CViUIAhQ+Ws4IlKVWFKCIog2yI0AEBLDsoQRYMIp2q0lZDptAU0vGWsOOlB1YIUWMZJwoN1wailJAkbhdVMbUPQWstRZOQSxkBFzGEEMghRFAE5Bja21CqlEglhKAqyoYR0RQBOsME1chGnYhSAjB2dRwIgJmo0ohCNAJ7jy2G3fRRRdddNHFy8BrTvgTEQIzMRPXDjHEbNiUvgRAxPABbGyWxBAEAQGiFjBACZYiwgskeJKI0EYMQbVURCCWYEkUyNimnhFEnC6QKhBMMAgutEMkQJGq4SiMqs2VIzSdNWS8V2VELYg0CJVibMqA/9zeu+d9A/sdfATgVAKMiHhSJJxEABAw3X7HrfsfelBkKiNCATICeMuMIJERmBTBaItD6/LfXnrcWWcuECkZ7FCUVcPkKRIODDKVEZUAwHslxAfvu6+RJpdecbUwqkoT4PP7HDTz3nu9lAJZOHfeJ97/WY82IYr6NGUixAiXuhAroDA2AoA6tnmIFAEDIHoEDwITAsBsChmBBthEgVI7AbBhLTSwYwikrBSloAoajUkskgRy8rHfuv7638AKHEIMlgUIZImAqMhcGrwAFKFBPBhw2V23/3W/gw4bATwCuEII4hFFG0kDkRGYfYihEg0gY2ApqAU5YzxQBiFFj0k91LLNssRXAQpEwBCoDjDNUWKEpsYtNqigJPrAxgCi8AYsGgFKktqpRIkRogdgbQLAWjbGhBAAdjarlXxmkXBORGS6kl8XXXTRRRevBK854W9cM0dFTF0aJUZfwpq5zzw1eY010ixtJOkB+3yRgCrSyT86ySSm0eCzfnS6I7vJtOm9Pf3WpnnSXHv11efNXZA6oEKlI75SIgtKGaHpooiCLCpr80xJAgICIzgtWw2MUFAA8OIcBQRiCZGYm0rcjqjIn/mTM/54+19G6tB25Cs/zA6sKlDAAEYWjvRmPTHqSBXJwqbQUKYAQWBcW1AJGISqoFClxlYBnl1JqFSbLrFeaSQAEA1KxpAqgR1FLzPW36hsh3e8a6cW4BKSQqyoc6maTJFU7WJib25AHlHZ+QBVGIJROMO1YvGSX/+ymSepocHB7LHHHy4QZz37/Abrb9CTpMZl1954IxBPPv64RtrvbOqo//yzfm4EbARGRAMYVRE5sYZsBIMyryBRiq1UA6KIwEswtgCGAY0xAYAIA1jLMYQIIuPUC9ojeZ6UVVUpFBYhwnDKSJSIgAj4AFgbYVSDLyMkwkAp1rnVaRQMjhoFcKn1IcABAhVhEEEtWwMWBZONVQVDULBNQIjiEzaAGHIkUAUzlINotMZGFaqtKwEisjYRAcDoMHdgSXmPX4Mjt4suuuiii1cL4y8h/ycpQesgz0tcYkA7tvaAqKpJEqiKyHbbbVdVxdDIQmfD3/722FVX33LnPQ9Wfl7RWnD2Gac9+MDMO+76y4Kh1rZbv3XO0/MXPvP0Kv2N2m/BUNSEUB8YDy/YcsN1e53rH1h9QVkF8t874ZvNHpemjXNP+QkV9OXP7fWpj33w7W/Y9gff/fZAb75g4fP7H7T/OeddaJNJAxM3njO/DUOF+jKENG8AIIpJwpf98vzEcIOTE087LUQ69NAvbLn5thed/uMNVlujZ3Dtmfc/QBp2331XMo3+nubfH33GKjAi22261SqNNT/03l1y26yFDEuKEFEBEr5wwD5DQ3MAhsann3viK//1X3ffM7OZNif2Tpz54MMeuGvmXT0Nc8bpp02bvnmaD+619/5JYstq4fe+/r2erH+Hnd49EgEGPBAjoghsocak7qorL2wPP3zBz07+/g++M+L9e97/8Suvv364tSDE4p077JAAhx30+SeeemTX3faZM3fBgbvv0pRgqRpRH1wSSV0fQfzVl16dUJ/Levfa7/PPP/v4epMmfOXwo/793R8yJn33v+8Y8Oz3jv3imWefsdpaM9Kk/4xTT1W/cN/P7tLTyJum/zN7fZFM72EHHbj5Zttect6PN5yw1uDgKg/e/zCk2mu3T/Ra25M37374wTKxQ3PmbbTaGiu7pJFnzZUnnHfZpZ/53AEOCCPDV1528Y9OO10EUAE4ikaBrbV3BmSYiEjZwLCSIQZgkqTuZURQjYYZAKND0TFGmBOFEhnVJSS8epfSVfJ10UUXXXSxPKgqgVSV+aVF8X/N6w86R2lUhWCNBQDvsywzxnjvE5fcce/vVllt4qW/vfbQQ74cg6Y2+ep/fvnGm66xKfsYch7AcIIShkAmaAoADAkCSHXwgYefdsKZIyMj84eezvpx2923PvT3R0ZGyoVDc8/80WnP/u3J/7nmrj0+/anpG01dabBnt912mf3sU2Xpb/nvP88vnjvz7HO//LUjBcZSoioxRgBRMWvOkzPvu7vyRRB/150zH39i1rEnnHbrH//wic989vE5s5577vFpMza48orLPr3bxzW2Hnjo79888puthbrv3occe+ypzw49ceklF1FAxjBAVRZgA6OIwzM2nfLsM09c8ZvL/nTl1U8//fRKa07adIvNWguKT+2yW57k7VhNm7ZRqxzec8/P3nvPfSPDI6ec/CNjzLU3XvnW7XccGhqaPHm1J598ROtAQETBeyA64rIs6+pNkmTG9OmZSzecttmVV12NNIla+6NHkBGl+cOt1AAeEE+IQlwBbV8VKJ+bM/v8n10Q23FkeOiUU46ftOqkh595/Nijj7j8N5d68VdceVmo5jay8NPzzv3b4/c8/sijf/rD7xCKU048vl1V86oFrtH/l7vu/cEJp9z2P9d8co/PPjzvibnznp264YwbL7tkz90/NjRS3v/gA0d+7zsLivbXv3nk73934+w5z377O984/+KL3/Hu9941c+bwcCtJ7B9u/dMHP/oRTsAwPOpQr4DS4iiaRMSgjkMGQaFK0EVmeoiLO13nltqNmscOWNVYb1JUMGYLJmP+xqJL19ZFF1100cVLxmtI+OsoUZbR/ykBgLU2ShTvkSQics1VVzey3izNP/aZjybNJGFDXhObAWadyVNL0bZvJc5oQU0CWoBGoCilLXCkLeuGn5/92NzharM37WSyVDDfYO7vb77uQx/8BCNJSb7/ra8++tCsvLHRtlu+ob9vwoc/9AELEV8y86FfOHxhC1u/bosFw/NbviikSqyrKXaZGr+75aZvfvOHPWlmyV3484sXjlRwqSpZkBU0HCofLrrw5zvv9BFjGquvufasJ590KaXNidu85R2gZOHIcFCJEQ7I00xChUQ08e1yLnG472/3j8wdfvzxx9dYZ82RUIA0UWovLFKTCAATg5SKaAALtMpih53evs1b35i6uNX01Z995HbmSh0qMGeJgTdoN9i+bcePmObkSy//05577N8EnXXWWUaRGXPggYeUikBWxUNjmjqytYAUYxSCseCGMwE0cZVJjUY2obe3nB8RAJNDTWtkIZMPKgDnSQ8V8sUvftGnWGXVgfMvOI8iX3PF9ZlNBtP+n57/40ZfLzjJswFUqhUUAMdLfnXxzu94T2/TTl5/6nOzFwA2ki/RQk8iaSKR+lP6xEc/9PSzTzw3siC6dHDlgRBRm38CEBIhjaN7rdp3A9oJv6yqSlAa7WkdUl2lWjzWMXHXqZYfeVkdn2r9V3fZqGPEx1G8hsZvF1100UUX4+JlRP4af/FYmhL0/wqIaOka6nxnBhs2TAbeS9Sdd965qoqiKGaPtK67+UZDVaIVJISAR2fN06Q3dTmFaLWCAA5gUkRn2IANKUKLDChreJNEANJGHI6hIIWogClUkUwP56sAmcLmjZ5QeUdsYHyMfT1o9mKDqWs1XJ5xs91q5c4YwEfOkvzEE78z3Foo6ufPe2ba9I3AxiaJlu1EEAMMcf/gwF//+vsYW5UPV137m1nzimcWDCE6eNvbM6gp1/KLLwOniZeCnEzdYL2/Pfjg6utPeebJ52KFJLXGKtizwUBzkAQGKQwX0rJOmcCAdXkriBcTUGg522IeqPCKaFCJgSrKMrPJ5Vde+cSs+c8+P2LUZYrUYJ899yoqffuOO39m34MrGCEyGlkrMQgNwKXG5E6J1TM0gSklnHr2mfNHhrbf5nXveudHh4MibfQ0ejJrhSTCxlJzzRpp1gKMUamK4YXtIw7/ypPPzJrnF+zykfeXoYLJhhYWTmggQQIAmjbzu+++bSguHC5al1/2q0bmpm44ZcPNt00bgw8+9NiOO7zNAG/b4Y1XXH3FLX+6ffc99w2AdaNyGwk6421UIVdLavWAGh2HtdneWKlOdYmIfcCo5IfR67Skeq8jWnbUgKpLGS90NX9ddNFFF128ZLwWNQc6uvSqQgmqGlULX1YSlAkuAeC9DyEYMmz7DLt37fTWk074Djh6xZe++u03vmnHKBZQY3xUgCEaFUbBjLKSqNy/0sprNgzdfvN1DIXpZdc3fcZGF134Y0UJzr749aPXmjxlZOEc45rtSodbZZ5kTgwrFLGEnP6jY1bqSw2goL40j0VbI9hgnTUnX3zJpVUIZRkhYIKXMHG1lauyjaJqGhjDa6+73nU3XF/bkJFFPiF74JEHnnry6WLu8J577x2gLYgHXJJUvrDWKZs11lzv+lv+MHGdtTbebMuf/uSnq680yQFVaHn4hfPnOwWA0lcbTN/gsScekiBBEBUmaXCVJ+gjlwkJUBmCAQyzaoqkZ6RsGy5WXzl98xs2vfnGG9seZWsBoiBig/U3dElWQiMIEh3FoaIqCQuCKmwKkwRGURHaho0PBpX+9a7bWyNz5g8vCIJVVl33wfsfNjUbh00pYmSobYEoqoCyvuEtbxwYGJg3Z+F1V19ljBHFeuutu2D2M1TCAj7y2utNufbGqyDS6QaEe/5293DrsbJ4/uTjTpKAMsj0TTd88P77HrzngUmDqwng4WsZj7T2uZAlxw93NHUEpcVy2aL+Rkq05ElwfRdhEVeHdML3LNNnx/zbRRdddNFFF0vgper+lhb+XgsG5rToEK5zgQEkLrFsiVmLgplvvvmWvr4+y+bBmY+8/a07vOOd/1ZpSGmw2Wx+/6ijNps22bEDwaPFeQUDZqNIfXARBbhZIQXn3/3GV/fc9cMZ2/7BteYN6Tt2fOe0DdftaTZss/e/jjtp1bVX6e317aptszzJ+8p2cELVSLn1Jpuv0tv71OMPHXHg52NZbrXp1q+bsdn5Z53V22xccc31m83Y5u077tQcmNDT01hr1cnPPz9sE9s72JM6Xm1woMH9jzz49wM+//njTzzZ2Ia1yV777dfM8JMzT5yx2bQNZkw/84yzE3CqbAAQksSKRI3JxFWnXHzx5Sv3DSaD+e1//vOUVda55FeXDExc5YxzfrLNNlu9b+cPle124pJ37rzz29/2jizPDvz8IQEi0D62GtJIveL6AYtQJAKO8EiUckpzDSMc5+3ygR0POmSf5+YPvf7Nb+hfabAnz7fb7o1HffPrDSQnn/Cjtdbe+PwLzl19lZVOPP1Mconv6LkMXK9DtWDOvFUnrdPfP6HRn33lyCMmDgxYzrff4V3f/PYxGTd2fNe7ikrUZlmSOwHBmDRpDPZUkCTNdt3lY/vu8TkSVZLeSYN9uV0pbww0Jv3970/vc/DBx556XOYGerJ8n70/r4zJUybnjXVyN7E/bx520EGpZVWdMnn9vqQ5ITcGCB3NnQAgFdLFB7iiCnSEyFEIIPXP4wwqxajebvEYJAhB60DOtEQ+ow8lrZ1/R/Fa3Lx10UUXXXTxCrE0t++A9IPp/zq3r1m06hKgikgd230DgRcQQwFrK40lGwtkCIgjZGxAI4IYoNi2ZOEdGDCIXJbBGGtTDJeSGE6sABogopzAQKQ07AUakTikqEYPDFOAEUsxRtBeeOChX9ztkMOnbDw1R3SxRdGSzWtCWyBEaBpJpCCXClwokSQQ8oKWhaXYhABBkReCktGEuDYjAbQYscbAWiXbCrAWGmGkdNYAALGAohITWEcITQlgo+BYVTDOhghnPTBCMIKmojZrgyPEEiaFol3Fdmqa0BSqkSKIg4SUGeqhFZgi8hLWYMQh1eBUAQsm1VAYMEzqCRXAgANMBLySI5iFkGb9/pElEgcviUZrBbAVmwjkGAbawGARLZMmrNCgquA0AhG1oV4nrjTUgqEEX81PEu/LfmMTNXju+VmHHrTXuT85y7jsuafnHXz4l08//bQ8zw89+LCvH/mtZm9TjIKjUwsoEanGDosiEcCqSmSW3Hot6mVCtbmeMqSu8PovqBJGKXoJAkQgABZwi7YmigiK1PluAAsdV5zsoosuuuji/ziW4vb93Mc/00tNJxmBlTAqp4mABGyUuty+ywctaePIDOmYZRk2CWCACCumN2pKqglga5pd0pphAtEbsLXWA9A8pYSDghBhgkuiqdncAHWMXosU4mG8OrQbiFopgQwjCEziTJIlzRjBIKOGTSoBhoEQCF5RIDK7rJIAIE1qamKpQyPXx6lwpCCCjSIALNSotwngYoEgQJOQVsgYzjmoQCiCA8hEGI9Igvo0U0iEObFCSGx9xFn7pXItpNSdzKQAvIpPTVNCEiOUFVQqhlJWiIXPof0qGUMSFApXgIKFdbBROYgxKWxa7yrSztFphAEl9QmpgxgoIgdPQYHcsGUHFeWADolyD5BLjBlgOAgUlIBTLwp4ixLwqgxuIBpARLxAXJKXFXGaMMNUxWqD/YlNbXNldr1rrrX2Pp/a9aennN4w2bt2fk8+0CQHy0hQB1uu7fMItDg6yyJz0mU9cl9p9+z4knTN+7rooosuulguOie/L+4AmA64cn9vFUIDRd8R7z20H4McqQ5gUa85UTsaMiEEIH2pdkdLWLvrCx8rj5u/6iIm3VcMEZFa6q0t54moVtu87Bxf1Hstc8tocTr3RhWpA/uOF+Ctw/AAjGcQVue4HDl+qfBxunSUuX8tvPjijX2vsZ+Xd+uy/ap+Ftc6udqNguuEo5XPQMcqFB0h7F+v4pY3Hl+tgr6Y8T621V6d5y5X0h071pYcd8vbx/6jhealnvtKHvcStuKqcTlzzqu3n68pIMdGIlIFXmieXHqC+t/XLywav1hOva1wAv8Hl3+p8UVYntvmaLSKf2xxXjJe1QlxbEv972KpeQb/tFJ1PPxeREJVEfnh+cft/slP58gzpFaNipCBICqEwAwHr0899VQUz46NYxXDzMYYZrYCiAiEQBIRCAomrfVWwgAx1QEshJgNvdj4z2Nrqq7H5c/aL5jXqyysLNJ3qiozj42yMXbgvfgSvpiUyx3SdWEIrDWXw2JN0jJZLC/vTg7LK9yKvv6LQcfrOctPOc7n5YJGky6+MuYeMvW5qna6Gy3bE162C/y4Tf+qTSVjMyeq3U3wKjrsv5hsXv1OxcuTosbW21gZ/V8GiwrzUqXAl/oWnS352Euq+mo2Rb3f1jF7zuXnPmao1i/yL6qoHnfc/StIG2PDhS41YyxRvFdW0pehp/hn4l+nbOPNM/+cB7/kO2KMbNigYxnUEbdG5xPlTndS1RijYUujsFQTFQiFdrBgr97AcR2kliLB1tslQAlC4JddER39VozGrJCcdNHq9Q+scR5TDMKYIfGSHjruEF12pV9xzrW2rz7Ar9MIVFWZGBjdfI/NDbrMOvGvthl8RRhbgSuIXbT8ZMtKecsFKXS89Doau3ms2k+hL0+i+sfOHbRkoZZ82MsI/rTUvS+y8C+Y7AX0GeNgfI2aiNTsxmMyXNE7Er00oeqll3N5eEEp8BXJrOMKvrS8Y4FX9CQsepDq0p7qY7Go6ojoX0oi/2cu3sso8l4w/WLb3uWmGVOxL3VELyXt1ZGiXnmF/HOq9F9cVP1fwahs13EuZGYiw+CgoBCtMyARiEBJCBBmjlBiS6xMrGNgLadlVYbg86S/QNFD/Qz2WjpSUgaiChEEKhCAWFd4PLrk+F/8QURqYdMYg1ERcPwsxgl2u8K6eCmJAaiAGfXTF42EFchti4wrl/4JS58BLnrzcUtY5zB2oe5cWWqHMfq9k3KZ2ngly/k/Ey9jnho3k6U+L9vBMP5MRC8kE3T0YyqLhelF+Qh0qQ6MV1GXBmA5L4IX0b5Lv+wKC/WCmS+rjF9ewV4kllv65WtwXxxG24g7R/MvUt34krvgKy3nsvhnikGv9Fkvok6XnpCW/nncWfFfCP9UqXTZXemLwdjJU8eYpL+MylyqOV4VWWoJafKVZ7d86Ks54/7/gXHfeCkl0+jJMBFRjJEVAFlicoAiSmRDDFImAgMQAVggBFZmwuifNSWnaZ6ySksa6AUggCEDxDrmLBle9HxaKmTtskVf5td6He2sK503UTZmeZ1mBbm/Kv2MmBcVg0bPf6UzxMaX2zDewv9S6Y+XzYFAChUZlY91sVnfGGqIpW0Axq7Qy8isi+SVMeUcby1f0bHCq4GxxpQvJv9xd3jjHsGPzXPcDfHYQ1AAIB3brsuWR8dqhhanW35RV/wmy8fSikNazoT+gnW1VPIXnRJLLiRLp1kU/3ypAiy/acaVLJc3X69AdF7UzmPO8cc7KF9ODstuq5b9dWwOLynzcfNZ8ofxb6QXbSEzNquOWdd49y3x0zKx6hcnA2E5OSydyaJyLiOhrMCGdmwOHWuIJTMclz/pH4d6Fl3qCpbfXsv+uuL0r1bZaJk2q39aandfr0S66LB9ydGo0OXpRla8mXwxF/8RWPHYfDH3vrrpV9z6Y4Tsl3nI88ohK9g+L1nUUeURO+MUGiWyMBsy7Cr1RApwR1NPBCiYYFgjKUiJRGHz2PRlFAlJcAwwbNQxi4SSAkQ8OuaXP4Mvp5lFxLBRaP0BQIyxw6L7IjDOAvbi+tO47VdfjBKZmUCi9UE2VJaf33Lm2ZfUOWqarsVfR8/gARg2YwT5Mevf2Pl3zEQ8doVesa5xqZvHvTjOT68KlpQkXsSgHK+Wl7e/XJTn2FdbrJ9bOpclbl9mwmPiRatV/f+oBeXiNiKicfvSOEVefq/458wmusTnlz/zLsbym2ZcsfVlPGzZNeillXl0nRw/8/E2XS8h8xe8a/mZveQHLaXSHe/u5XbzJWe8FS/rS+uOaawwt8QH1SUftXhc108ct+TL//JCeHmL7ri3rDifV6tXLIs45hW0dtRbYRmW2cvRUh+W+vUFNevjjsoXdfHVxsuWp1/JxPVi7nrBDjNWCnwxeb6KwuKK86kNbzGqi6uPfasQcsvERgUqIAPTCTrGQtAI51yQKBBEGMNgViYQ0YRtVilRCYV+7XHzTI8djEReSqg3wpEsiAG1UFUVYtbxzUrGbiYWaWLqf0Ukxpim6YYbbpgkSYxxBWf5zDz23sWVMt4xIhHFF+phS6nHRKR2dSmK4qGHHirLkoistR3bu2XSL+9ll3eCtqyXUP3v2Kg6Y+/lReStqly3CiAii/IxS/aG+qelnjhufY5qW+PSV1Z8sLg8r+GxSV6EW8yid19kXvrCjx4v86X60lgDykVNNvau8ctDUuezrLJQySy6vqxxDHdCK3ceSgrRJdK84OuMLeRSr7ns45Zb/vEwbspFVb3slRWY+4yro13e53HVxos1r0zjpl9eVKml+smii8vr0ksV9QVtmJZq9EXdYHn1sIJ8xv26VJQA1bgoq7FWJcvr/8u+/tiesNRMslQhx6rAl9d5Ft247Lw6mpiXeaKoKuLi+XDsE5ntMjnI8uoTgKxAOB5vnvxHqKPG7Sr/oMfpkubjS7U4jzdhLNVPFi0HRCS05LGG6rg5jItlCzBukV5SDSzbgVfQvkuNu3FvH7dsL6b/jzOTr3CeWX7/X3rE6ajQstQTXxLGLfmLSWCpU85lK3bcOlyYLuhL+8qFVcM0EnK+qoIGThBFVMmys2S9D4CSJbBKWDzV/D9JRDfHgDto5AAAAABJRU5ErkJggg==\n",
            "text/plain": [
              "<PIL.JpegImagePlugin.JpegImageFile image mode=RGB size=852x663 at 0x13DDF569748>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 4
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "TGqmAFicRd2v",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        ""
      ],
      "execution_count": 0,
      "outputs": []
    }
  ]
}