using System;

using System.IO;

//using System.Threading.Tasks;

using Microsoft.AspNetCore.Mvc;

//using Microsoft.Azure.WebJobs;

//using Microsoft.Azure.WebJobs.Extensions.Http;

//using Microsoft.AspNetCore.Http;

using Microsoft.Extensions.Logging;

using Newtonsoft.Json;

using DocumentFormat.OpenXml.Packaging;

using DocumentFormat.OpenXml.Spreadsheet;

using System.Linq;

using System.Collections.Generic;

//using System.Text.RegularExpressions;

//using DocumentFormat.OpenXml;

//using DocumentFormat.OpenXml.Drawing.Charts; //? TBC if needed

//using DocumentFormat.OpenXml.Wordprocessing; //? TBC if needed

//using System.Net;

//using System.Net.Http;

//using System.Net.Http.Headers;

​

//using System.IO.Packaging;

//using System.ComponentModel;

//using Microsoft.Extensions.Primitives;

//using Newtonsoft.Json.Linq;

​

​

/*

This is a modified version of the ExtractJsonFromSpreadsheet Function App from our ADO repo. 

If you make any fixes or enhancements in here, make sure you update the "proper" function in the repo.

​

Instruction steps on how to use are below

​

*/

public class Program

{

    public static void Main()

    {

        Console.WriteLine("Start Main");

        using ILoggerFactory factory = LoggerFactory.Create(builder => builder.AddConsole());

        ILogger logger = factory.CreateLogger("Program");

        //Instruction 1A: Base64 encode the file (spreadsheet) (e.g. using certutil on windows: https://stackoverflow.com/questions/65577255/encode-to-base64-a-specific-file-by-windows-command-line)

        //Instruction 1B: add the encoded string of the spreadsheet here

        string b64data = "UEsDBBQABgAIAAAAIQBvOFSnLgIAAOsOAAATAAgCW0NvbnRlbnRfVHlwZXNdLnhtbCCiBAIooAACAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAADMl11v2jAUhu8n7T9Evp2Iabd1UwX0ot2u9lGpnbRb1z4QC3/JPlD49zsJH0IICFFSjRsgCX7fx++xY3twt7Amm0NM2rshu8r7LAMnvdJuMmR/nr/3vrIsoXBKGO9gyJaQ2N3o/bvB8zJAyqi1S0NWIIZbzpMswIqU+wCOnox9tALpMk54EHIqJsCv+/0bLr1DcNjDUoONBg8wFjOD2bcF3V6RvGjHsvvV/0qrIRMhGC0FEiifO7Vn0vPjsZagvJxZks5TiCBUKgDQmjxETY7xCRCpY4nxg57BTfY8tS2Zy/uHW0QwqRnmOoecWlZdSYUO6QOFdcRhTk/a5EDtH6J4pV4fMSitjxuswX7TCIlaQfYoIv4SlsrBF4a/+jh98X6anxZpWq2qarkV2m2COeFf/Tnx6uuqY5Cyf5VwQ47rC+H4eCEcny6E4/OFcNxcCMeX/8QB9J6PTpgf2k0T373qegbvatdM4uNQXU/nBlBICyrw6rN9NJVMTQoJlwZS1y/0SrTOuRAR1BPSUj3pHGBXu4bDAgolULzFovZzrV2DoFYrduLrH+1Lvxaq8ZXelpun1PUs3Oiead/1fDvTfj/19hhnpi6MvC9ot9PxiJMb3VOxy1lCb/9awzWCfYw+dFD9rWipBxE1bLe4h3ZyBxjaZ9+eof3uqSEDHV6qAtD5KELzwbA5WpSte+Gs5LeOdLhqPfrKZc0pUE29Vym1tl/JHDDn1VF19A8AAP//AwBQSwMEFAAGAAgAAAAhABNevmUCAQAA3wIAAAsACAJfcmVscy8ucmVscyCiBAIooAACAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACskk1LAzEQhu+C/yHMvTvbKiLSbC9F6E1k/QExmf1gN5mQpLr990ZBdKG2Hnqcr3eeeZn1ZrKjeKMQe3YSlkUJgpxm07tWwkv9uLgHEZNyRo3sSMKBImyq66v1M40q5aHY9T6KrOKihC4l/4AYdUdWxYI9uVxpOFiVchha9EoPqiVcleUdht8aUM00xc5ICDtzA6I++Lz5vDY3Ta9py3pvyaUjK5CmRM6QWfiQ2ULq8zWiVqGlJMGwfsrpiMr7ImMDHida/Z/o72vRUlJGJYWaA53m+ew4BbS8pEVzE3/cmUZ85zC8Mg+nWG4vyaL3MbE9Y85XzzcSzt6y+gAAAP//AwBQSwMEFAAGAAgAAAAhAP4Q97LMBAAAXA0AAA8AAAB4bC93b3JrYm9vay54bWysVm1P4zgQ/n7S/YdsVGk/hcR5axvRrtomuWMFe6h04U7HCZnEJRZJnHMcWrTa/37jtEkD5aC3XAVubc+Mn/E8M+PjT+ssVR4ILynLRyo6MlSF5BGLaX43Ur8uQm2gKqXAeYxTlpOR+khK9dP455+OV4zf3zJ2r4CBvBypiRCFp+tllJAMl0esIDnsLBnPsIApv9PLghMclwkhIkt10zBcPcM0VzcWPH6IDbZc0oj4LKoykouNEU5SLAB+mdCibKxl0SHmMszvq0KLWFaAiVuaUvFYG1WVLPJO7nLG8W0Kbq+Ro6w5/LnwjwwYzOYk2No7KqMRZyVbiiMwrW9A7/mPDB2hJ1ew3r+DwyzZOicPVMawRcXdH0TltrbcnTFkvNsaAmrVXPHg8n7QmtNiM9Xx8ZKm5HJDXQUXxRecyUilqpLiUgQxFSQeqX2YshV5ssCrYlrRFHZNF1mGqo9bOp9zpSpiLMgpze+B1jmB5FCVmCxxlYoFkLs5ErLFtE3TldpAlkkqCM9BccZyAdzc+vpeHta2ZwkD1itz8ndFOQFUwDnwH0Ycefi2PMciUSqejtSZd/21hCu5XuE0ja99tspTBkl33WEr3k+N/8BXHEmHdfB4g2rz+7n3AI57DSfPBVfg94l/CnG5wA8QJeBCvE3iEwgDsm7yiHvo5ls/sFxkO4GGpgHS7L7f1yZG6GgD0526pmuFg4H5HZzhrhcxXIlkSwBpeqTaEO29rTO8bnaQ4VU03sH4Zmw/mvx+NjR736XDstRdUrIqd1SRU2V9RfOYrUaqNnTBqcdmajkwW9V7VzQWCfg4tI127VdC7xIAjIy+XBT4di5rGOAEOipLyuGiZKEECVXBkaAPZIFvga/SP1M6MVKfgPc34EP4aHJ4Al7voK/rL3hRfyt5nTOTCpIF6rw8UYZjqCrck0fwkxhJ77vCwRpnRUo64gCqFTefi/tY4I6s1ZG1nsteECGg8UARb6HYHXn7JdvKBat4BF1ppwMkaPE4e2dIJwFxewJUOWhwAkiZ0DgmUEFb5Tq3u76fcxLTSDCoCK2+rGv/ZqBf50pz5WRdl4h0TpaEQ5clEIa9td3pA6n8yv6wNv6SUahWNCexLIhwRGfWxDuOoYyU6rjmmPmhN+shDwbrWO8Iv6TZdN6d6i9SFQbnYN2bxWMB8WoP/wwWPm6QfPzQ+9wbvGkpgHdDujMQSAjBAeiDnNMokS+HGwEYZGeIcFofLWlvqOM/0V/NnUyk1UnPfhvN61ZtsGq+32p7XVtc7pu4fuN3OKdl/TbaXVYo3Qp7b4frHNoIvCfac6dSEYYDNBN4Ku4Ufano74WnSzVgKQQiguYrv+qOMESG2WTAaSnqTIAeR6HuIduY9I2hrRmB5Wj2YGhqA9sytZntm4HTD/xg6sgeIR+m3v/xPKtbrde8eCXKBHOx4Di6h3IF6TzFJdSPulTqkJBdsFNnMDUsgGiHKNRsNDS06dS1NccPLaeP/FnghDuw0v3lDz6OBnqtTbCoILvl+6Cee3IMt6vt4nKzsC0IT/q/N/dlZdlqvyZ4Ad5DJzhMOLw8UHD25WxxdqDsabC4uQoPFZ6cTf3J4fKT+XzyxyL4vTlCf/FCNwGXY01TvaHJ+B8AAAD//wMAUEsDBBQABgAIAAAAIQArkBvajAEAAPsJAAAaAAgBeGwvX3JlbHMvd29ya2Jvb2sueG1sLnJlbHMgogQBKKAAAQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAC8lt9LwzAQx98F/4eSd5t1P1XW7UERBvqiE3wN6a0ta5KSu+n23xuKthuMWCHspZBLe/fh+730Ml/uVRV9gsXS6JQl8YBFoKXJSp2n7H39dHPLIiShM1EZDSk7ALLl4vpq/gqVIPcRFmWNkcuiMWUFUX3POcoClMDY1KDdzsZYJcgtbc5rIbciBz4cDKbcHudgi5Oc0SpLmV1lrv76ULvKf+c2m00p4dHInQJNZ0pw2BNYLarnUm9dXmFzoJQdR/HknSR2+IyfJ0tGIdGwAKAXIJEJEh2b+on4QIJyfBm7bVg6hjaEvNkZ+WBmIUXpATPzWjQMa5GwkL2RdYcDO3mwOAp7aYJqI3dIRn24/mwbOY55G+UlgfI6FVSbHk4NvdpMQzrVRxs/zoW72PujCSpND6OmXqOSoEeKDpWbKG0HY7P21Z9c2JmJV4ygNH261j+R3PQONyzJDXHorGmWvHl6IcYXNmjsM+guJMx/bw/+P0xQnaSo5EMhSt351YZ+9eEnV7bFNwAAAP//AwBQSwMEFAAGAAgAAAAhAMkar++kEAAAN2cAABgAAAB4bC93b3Jrc2hlZXRzL3NoZWV0MS54bWyck9uOmzAQhu8r9R2Q7wMYyAklWe2hq0aqqqrHa8eYYAVjajunrfruHUOASKkikijBDjDf/DPze/ZwELmzY0pzWcwRdn3ksILKhBfrOfrx/XUwQY42pEhILgs2R0em0cPi/bvZXqqNzhgzDhAKPUeZMWXseZpmTBDtypIV8CSVShADf9Xa06ViJKmCRO4Fvj/yBOEFqgmx6sOQacope5F0K1hhaohiOTGgX2e81A1N0D44QdRmWw6oFCUgVjzn5lhBkSNovFwXUpFVDnUfcESoc1DwDeAXNmmq+xeZBKdKapkaF8herfmy/Kk39QhtSZf198LgyFNsx+0AO1RwnyQ8bFlBBwvvhI1amG2Xirc8maM//ukzgBXbi99dmmd/0WKWcJiwrcpRLJ2jRxw/fsCTMfIWs8pCPznb67O9Y2T5iaXmmeW5fR0j501K8Y0SO78pGLv9+9maEl6yN62PV1JuLG4J+nxIrVnOqHWUQ2DZsRr5NIaj8LsS8zSOl5USr5WymHX7RtZrZf4vyklYSra5eZb5L56YzGZp7n2V+4+MrzMDp2/oDqFR1mlxcnxhmoLF4V03HNqqqcwBDFdHcHtWwaLkUK37GoonbjTyp+EYKNocbdkBJKJbbaQ4JcYnUs2AIVcMWFtGFwsZrsTCTKvYqIvtmxb0VaHTNnTq+uMogPH2lo6hsrp+O8RTV91JdEP11iI1AjYnxB1Cmibisy7iG5U0zcSwOSkZ3YiAOdTFdAOBzpz5IONJwmrjXBkrboZjrXO9Kf2AQdPlsOvyPcLCts+jcNLV+L+BQaJOG5wcrzo6/wAAAP//AAAA//+0nG1z2zYSx7+KRx/AFqjnjp2Zk0QSlKg2Se+hbz2up+l02tzEvt7dtz+AXAC73I1JYS/vMr8ABPnHH0vsgvL9y6fn59fj4+vju/svn/998+VhZmY3L/98/OPF/eu7Yjm7+fTq/rWd3Tz96+X18+/2+ddfOjK7+Y9ZPj599/N/j88vT89/uFbz28Vq9u7+yV/lL/4yD7P1anYHZN8TU7hrucYvruWf7+b3d3++u797gjaH1CZ0O3JUclRxVHNkOWo4OnF0Zk/TMnLB5M6JGRUtBEWXqzEBfS8qIJA10s8M9ItNonyMlIxUjNRANnH2LJBtJA0jJ3bLZ0ZaRi6MvO9J4SSKRinog34Qmixok49CkyVt8qPQZBWbkDlcDObwbfP71g+zbRJrz8iBkSMjJSMVIzUjlpGGkRMjZ0ZaRi49We+iCb5n5AdG3jPygZGPjPzIyF8Z+Rsjf2fkH4z8hAmZZBftSOjz68+xPvJVn7/8/uhjYR8SF7cutk0Nim41QnR1fYZDFPOvDFHMV7fTxwiB14/g7rLYodWzpr7fpzYhThw4OnJUclRxVHNkOWo4OnF05qgliEygC42T1TVbL+7rp1+fftt/7udVWNTL+ELz136YLebphcbIgZEjIyUjFSM1I5aRhpETI2dGWkyIdJsrpFusr5POX7uTLsXzzcCRfROD5D0EZKLiR45KjiqOao4sR01ARRzxBLeeyDk0WsRGLUcXjr7n6AeO3nP0gaOPBJF5dLurb7YE/LXpEmDkwMiRkZKRipGaEctIw8iJkTMjLSZEOhcxr5FuI8Xm6fHEjzZYFNvBouibGLOMVjsElPbVR45KjiqOao4sR01A67Qo4NbRoujJLrVpgaQd5AUTortxL8Bv5tnu4tS0HB04OnJUclRxVHNkOWo4OnF05qgliOo4TN2cv766uXCvP6WBTZ/wuJCdwvpu4GBoQywcGfKwwEqBVQKrBWYF1kSGnByeAVk5NkvWbSNLO/oLZXQifF6Bc+i3JsLnwyy3Hg8jaUtp/H52ymgjCXu/Ld7h9NwM8vN9N5bbXc7TNugQGXpRC6wUWCWwWmBWYE1k6HUdmEkpyjm2S2G0FdiFMjqhQmYgrqwRif1lHma7dHN7F9u77fo8bScOkaUbPgqsFFglsFpgVmBNZGlhngJzTxtShbPQtxXYhTIq6NQ8aETQPhUggkJ2QAQNDAvKWWk4qwRWC8wKrIkMCxqyFywoH7cVrnehjAo6NfUZEbTPD4igPTJE0MCwoJyVhrNKYLXArMCayLCgMAZxKB+3Fa53oYwK6rfYIapCaMhZ8v1OnQgKm3ciaGBYUM5Kw1klsFpgVmBNZFhQGIMIysdthetdKKOC4sxEIWi/fSeC9og6NDAsKGelr2z7csk8tasEVgvMCqyJDAsKYxBB+bitcL0LZVRQnK8oBIV9OX4pwZ6fODQwLChnpXvzckE5q4V2VmBNZFhQuB4RlI/RCte7UEbr9DgPyRfUR4nBWx4QcWhkSFCBlQKrBFYLzAqsiQwJGhgWVOjbCuxCGRUUJyRvCdqdKLmYPT17LvrkA4cBQGae9veHyNJm/iiwUmCVwGqBWYE1kaWE4RQYERnOmlD4aWPfZIwLZVRknGxc79qURxQ4jxibrdXqNlbG0ZngFRPYpxskezSD46x9d0suOhv3jPEoyAzOgg6oVTr26i/vewZWCu0qgdUCswJrBHYCtka7O45aguhs4kxjbBI2m1t/SJaRPYbDAn/A6085nFpJ38FB2h4aGW/C1GpwlnaIrZLiR4GVAqsEVgvMCqyJLGVQJ2ALlNYDciUq9AzpsK87tG7jtfDSgwzN/Z9zEp0snMWMTdZWPsy5YsX0WcKarIXhyY73Q3f8k6L7IbIUGI8CKwVWCawWmBVYE1kKvidgZGYgiSMzMzgfaOO18MyEZxVmBqdDo28eaQ29nScVfYKx7koe1BNT84bunadcvf2uvL+LzsH7AjbqIxEztEpr5hh7JlYKrBJYLTArsEZgJ2AkYsJzpSDaklZU8Kl5hRd8Za45to1RMh4ZoNgxLNb7Op7f9pFQOqiHHkIjvOeDfgmVvFXFUc2R5agJCO/24HFwdISbwGuwGBT/2nApVNMniE7L1OxEsQ7S3sVvIyZl618dbeSDDtjT4+JoMdytdDcxKI5GhoqjAisFVgmsFpgVWBMZKo5GhoqjwMhrsRhssNrQCE08QWTiF1dt+q8Pvd31aREVEEmvIkNLTWClwCqB1QKzAmsiQwsuMHd0E4uo4THQkVlAWGZIczpEZZ667c91fP9tFE6w3Eub1aojwzKHdiikCe0qgdUCswJrIsMyw7hEZngMLDMgLDNGVOZrkiJfn73yM8kFnLqg6gsg6mZIZ1CeeIztsMy8XSW0qwVmBdZEhmUOqRV2MzwGlhkQlhkjKvM1aU+OzPzkZSGcvESG3RzaYZk5q4S+tcCswJrIsMwwBnEzPAaWGRCWGSMq8zUJS47MsJXHbg5nG+iAy30mPKwRHgVWCqwSWC0wK7AmMiwz3AuROWYkIVy30HWHZYZWQmz+xtnHgp/SAKJBQzilie2wm4VTGqFdLTArsCYyLDOMQWSGx8BuBoRlxoi6WZ1qjWz6+NnNQji7iQwHDeHsRmhXCawWmBVYExmWOSR2ODbDY2CZAWGZMaIyX5NgiUFjeo1jwU93AJGybmSorCuwUmCVwGqBWYE1kaGybmDue5C0uYvpVAoggLDkGFHJdUc7KS9aXpUXuft56xPYfXc1t/XGdcBiUC08pEaxGMtRyVHFUc2R5aghiOi4vCYXWWyL6z+33ndDOE1wVa4Y1kZTo6QJ7OxRfZq3qjiqObIcNQRRTf5f5wXLqVtjOcoik07d/I1eaOr2ZvRCU1/goxea+ooavdDUIDx6of6c1J/asd81jPVd9VWQvL693/P6wu90su65zznyxu030nl9+91hXt9+y5PXt3+P5/XtX0h5fRW+crVfnw9kjeuK3/l9Fb7yR2bZ96zwlf/VUfa4Cl+tFb5aK3zlfmyW/bwbha82Cl9tFL7aKHy1UfjKfwye66uNwlcbha82Cl9tFL7aKny1Vfhqq/DVVuGrrcJXW4WvtgpfbRW+cj/czV4LW4Wvdgpf+aQsd/365CW7r8JXO4Wvdgpf+dOu7OdV+Mr/tiJ7XIWv/M81sgc2c4WzzFxhLV/MVNy2wlxmrnCXr1QpblvhLzNXGMzMNQ6DX6VlbeEN/JQqs7PGYZrvJf2P2vLnGX7LkfnMGofBN/qZI2scBt9e543se+UGz+7TxfzOGofBp56Zz6xxGHwylzmyxmHwsVbmyBqH+b96kT3P8E1L3m3DxxuZnTUOgzP6zJE1DoND0cyRNQ6Ds6/MkTUOW2gcBicVebcNJf3MzhqHdZX+zPqcWWoc5v9MVvZ6XmocttTsw5Yahy01DtOU6M1Ks9NfaRy20uz0VxqHrTQOW2kcttI4bKVx2ErjME2x3miq9cb/8iE7GGjq9cb/FbD8kTUOW2scpqnZG03R3miq9kZTtjeaur3RFO6NpnJvNKV7o6ndG03x3miq90ZTvjea+r3RFPCNpoJvNCV8o6nhG00R32iq+EZTxjdZdfy79Gdt/wcAAP//AAAA//+sVVtvozgU/iusVa12V6XcTLgsQcIk0ZJMNKt2te+exCRWATPGUdNZ9b/vgVyatB51HoYHG5/PnMvn75ikZnLDclZVnbESu0aNkTtCaXI2G5KVY0SiuIiQ9c6+iOKlzk6ceO5o9md+/MnX2EkQF4HOfxDf6+zEhQ9cLeI4ceHoYi8AWWqRzPHizNV9QwAptMgckLkWWQCy1Htze2+ern4XA4J1DACy1CLE9eEbHZsLQJZahGA7LrCtywADb1jLgRtCnFCbWwhxdEjm2XHm6RACSKFF5oDMtcgCkOUBsV71miYr0ay54qKh1UzImirFm43RfT1I9pg2bCvvdxUz1HPLxmgFUi86ZKz3ZbEeI89FRiu5kFw9g/SRIVomqRJyjNjXHa2gFUpwvatoij6XJUqs0zKxDn7f+Gf7VrKug6ReYziXMZwLl5/vf7shN244RtnfBbo9vpPin8l5AYDxK63bP43B/LsuAUtLRJqsqaL/0orDDPmcG7zP4Bo6clPxTiGDVpV4IhVtHscIMu+24qlo2p1aQll0AxQejVMphbwyXhNv7GW848Dxf26Yh5Pcm5rhJPBNjHFkZtNZbo4mWTTBOAgdN3t5pcVJezpuh4JvjWsCbo2rU3DSxLou5Z2hS5MtnLysePN4+X642DJoLUPGfZqyWENl56Tt42PCjPvBfh1O2EvfFGfvJ4/+hUdQ1Jp3bUVBXQ8tW3FaGSuq2EbIZ6PP/I8fDekcgg4hrcuKWjiUJZUbDidcsRJucPsugBT4Znt6V6IdrJDZF6GUqE+rLaNrBlq37zxklEKo0wLq6v0+MLVrjZYCfw/8G5x9BB0iOWvUIKkxaoVUknKQzZnE4X5bS/rUN+PZOtxtbK8+dSpNYDZ2koM08nw6ynw/MKOA5Cb+EoI0JmRkTqI88vIsI95k9gIU1VXTxXsHj9FWqTa2rG61ZTXt7mq+kqITpbpbidoSZclXzOqgB+m62zKm6spybTuyIqumvAGRgZP4O40Bh3UMBAT9SBy2h+uk9z/6vvef01tnWWLXj8J8apvRLJ+aOJ/mJiHByCTejGTY9+DPGPa91Jd5vKqgSfZ1XKYPPR/uLzd/3TgxDKPEGswwvd07XKEpOfyUhm0Hy2Hr24Z7z+hPrjkISe5EwcwMZyNsYjdzzCz0ZyZ2pjkeOZGNPeeDmou+Zhjsj4se/qofFj2Q9kZHcPeAsg/joHPrScjHQYbp/wAAAP//AwBQSwMEFAAGAAgAAAAhADP7GhbzBgAAKxsAABgAAAB4bC93b3Jrc2hlZXRzL3NoZWV0Mi54bWycVNuOmzAQfa/Uf0B+D2BuuSjJqtpV1H1ZVb0+O8YJVjCmtnNr1X/fMWASKWoWLUqYwXDOnPEcmD+cROkdmNJcVguE/RB5rKIy59V2gX58X40myNOGVDkpZcUW6Mw0elh+/DA/SrXTBWPGA4ZKL1BhTD0LAk0LJoj2Zc0quLORShADl2ob6FoxkjcgUQZRGGaBILxCLcNMDeGQmw2n7EnSvWCVaUkUK4kB/brgtXZsgg6hE0Tt9vWISlEDxZqX3JwbUuQJOnveVlKRdQl9n3BCqHdS8IvgH7syzfpNJcGpklpujA/MQav5tv1pMA0I7Zlu+x9Eg5NAsQO3A7xQRe+ThNOeK7qQxe8ky3oyu11qtuf5Av0Nu2MEEdtTOAqxPV0d/9BynnOYsO3KU2yzQJ/w7AVjFCznjYF+cnbUV7n3R0rxjRI7qymYuL98sQYs20Xr2bWUOwt+Bi0hlNGsZNS6xyMQDuyRlfD0IyjWv5vCkELRoK96nTsFq8blX5SXsw3Zl+arPH5mfFsYeKVSP4XurX1m+fmJaQq+hdJ+nFpeKksggbMnuH0BwXfk1MQjz01h8cije22k+NUtdLAWAGNqABA7QATd3wFAYw0AYg/ww3ES4cn4fqmkQ0J0yNjPpjgJs+g+Eu42NSG6rpJhyKxDQnTIyTC14w4J0SFDf5LEbzQJn7tG6vQCi/00TnH6VpMY9r2dHSRug+CDOmRrwdgdFhIn9xq7ZtqsuLXT3eFiZwebOJ7pQP3OGfhiDZwN1O+8ga/MEf1/u4PG9q8AAAD//wAAAP//nJjdctowEIVfhfEDBIwt28kAMxgb//sdGMo0vWjSCTRt374SQrJ0dpMOvWGYo89refdoJXt1fj6dLsXhctis3l5/zd7WQRjMzj8OL2f57ymMg9nzZR0sFw9LEcyOP8+X1+/16dtXJUrwdxgfjk9f/hSn8/H0IrXFQySCzeqoAuUqksQiGUQOnaX+vlmK1fx9s5ofb9BuguY3qaBSSaU9lSoq1VRqqNRSqaNST6WBSqMnzWVSbWaXTGajx3vTulVh1kHqJjXxk5prRM5kynsKeWeQzEcKjcgJTlEefaSkUaKFj+wZJPSRikGWPlIzSOQjDYPEPtIyiE90DAGO7SkCtxkoATFG5jZTDT3TRJxpFou7XaPi+K6JwBK5RkI5N1vwCDyx4xgwRcEwMbii5BiwxZ5jwBcVx4Axao6BkjUcA0VrOQZWXscxkOeeYyDPA8dAnkeGEVOePRfJFkyaehiKB6nf19S3KtI6yNyuIKBwuWbCKHGcJKByOwOlgW38VCqptKdSRaWaSg2VWip1VOqpNFBpNFKmHsjLvtw6Sfajf22fW3WV3HrdHIKzc41E150VirAzY9NiFmD6QiOx3pjTTED4Uo/LX9sPBKyJPXMXWBIVg8CKqN3neMzSRMTREp6nMYxxS8vEhVXUMQgsol4jrlMT6FUDjZLA5EYGmfzueUHeifHCfyxEFUidrtzyJGgQDWmD4AI0Y1N1EzSIRj42iB7/1CDMXcBDFUUEGsR9jnAZxSJJodaNQaw/mDtjt2YQbNYa8fyBvZqJgq2aIukHnVqe6zx/fHrE3ipam8A8dq4lvuRmbCp5Ck4uNDKVHMZLPS5s094zMXGTNoiZY+3O8bbc4TCHl7QodCj0WkjszAYkRmaq04LxVml2VxUUDVXQEl8FM2b3PS3EdualFpwk4yUVCjUKDQqtEZziw3rvGARPvxpxsoz3GR3By6k8MtzhbEVDTrXE59SMOQ8Hi73QiNyl7W6WwmIvNeLk3YQ1papQqFFoUGhR6FDoteDkFInREbychvJFgGwn4v5T3TWOSrd7rsMWm98ovgImhPvWmeKrgYHktG0VMnw3uEHXc9T1S8Kei53hWyS5rLaK+vLwwbZBrmqJ0hGlJ8pAlNFV/KKpTwT4iSWUu+idR/HQfGp4tJ0jv2m6RHAa2NlBJ/nQqwsT1KsQHgxvkFshPZfIzqQiTE2UhigtUTqi9EQZiDK6ik7+fPrU9RcAAP//AAAA//9sj01OwzAQha9izb7ELgFUK46UwgYJuukJTDNJrKaxNXH4KeLu2IGUVHQW43mfrXl+2QGpxnts257t7NB5BSnk2YkywkrBWsiNgOQfL25lsbrA16ncpJfeCy4LMW5K/ozzrPlwSK3p9v1s/rF+ugFG0pQK6LEUwN5JDlF98t9ahDONjS+4iG1WX/EPyXy70zU+a6pN17MWqxCXX90FB1M30+ytG2kwfrHe28OkGtQlUlTXwCpr/SSCSdy7RT845nTIsjVHVLACZslg57U3tlPgLHnSxgNrAj/acNE+OKNALDkH9orkze4MnZIvxyRvlvZ9g+jzbwAAAP//AwBQSwMEFAAGAAgAAAAhAD+ZIhMsPwAA2+0BABgAAAB4bC93b3Jrc2hlZXRzL3NoZWV0My54bWyklWtvmzAUhr9P2n9A/h7AQMhFoVXXqlqlbaraXT47xiRWATPbaZJW++87NpfQpYpYGyUch8vj9z0+xyzOd0XuPDKpuCgThF0fOaykIuXlKkE/vl+PpshRmpQpyUXJErRnCp2fffyw2Ar5oNaMaQcIpUrQWutq7nmKrllBlCsqVsKVTMiCaPgrV56qJCOpfajIvcD3Y68gvEQ1YS6HMESWccquBN0UrNQ1RLKcaNCv1rxSLW2XDuKlkmzBa6unJ/GqvtLxcHSkr+BUCiUy7VJReLW0Y5czb/bCZ0GHGC2IfNhUIwBXYG7Jc6731i5yCjq/WZVCkmUOK7LDEaHOTsI3gF/YE0yOZxoumdCOdJzJQRgceZI9clNaB1TwtizicccKDrDwjbC4g5l0yfmGpwl69pvPCCI2B3/kQ5XaUXvtDzpbpBxqz7hyJMsSdIHnd5NJjLyzha3tn5xtVW/saLK8ZzmjmsEsGDlaVF9Ypi9ZnifoE5x4EqK4p8Ss5gQasPv7zTQP3GNOmn5bCvFg6DfA8UFIRUrm7O8rqI1j8AXkiVDNH9kt3JagpdBaFGZi29EaTmVSPLHSCrf6jCXDfHlzDanVfh3Dw7+tbRiCY6+z3B+39q9t999KJ2UZ2eT6UuS/eKrXCZq68QxHfhwAsLl4J7afGV+tjZexC+dtZc/T/RVTFJodPLuhnZSKHGaAo1Nws2tBS5CdjduajmFZld6bhIYRcpZM6esmR3SjIA2NCmwsdBxImOVAbDjB1B2HYzy2MnvAExCY2UIgtmJ8159EAZ5OTPIaVZPBqkC/BUJsgJNe7nq8E6JgYsuAeBB1WID/FxU3QIgtELtR7M/Ct5mEdFiBEFte9K6swWvLAiG2QPsmq2sCpjmRrVnzLMS2DrA7jf61doKAoWHrkjSdW9dk8HqCTlG6woZBS4nflRbc1rgZtIkJXjE3sGVMo9VGe/WOX6/Poci24HEcTg9F398wDp1odiC7G/wFAAD//wAAAP//lJztjiPHtWVfxdADjJr5QXYbsoCxVJJJm/4xbyBoBPjXnYFl3Jl5+9mVyYiKfc4K3z6/3Ng+Se2ODuaqSLLWd7//47ff/vXjL//65fvv/vm//s8f/vmnby7f/OH3//3Lf/yuP/3x8vmbP/zjX3/6ZtH//t/L9suvf/yf/+/H337/9bf/UPjpv637N99/9+v7Rf/9/arjWv0fvyv9z+8/b999+5/ff/ftr6+RP+eR5bOP/HCOfPnmD/1Vli8+8mN+lfWTj7zByMVHfoKRxUd+hpHVR/4CI+EvfYcRf5EHTOw+8tc8Ev4zf8sT4TWe8J+59v/Mt/q37xtgCRvg3//DL9982/6BP/74w/tr/Omb29r/zx8//s+3jz/+9PHHnz/++JePP94//vj4+ONfP/74t48/Pj/++PfXf/8j+R+vZH9vZH/dtfTXfZ/+0zfrNmzRyy3srj9rqG/gyy3smh/Ol9DavL9L1uXLp/BP9eN4+R7+z7dXgdvwn9g//iGPN+NPMHO5hTfSzzT0OfxN/oJD4S/0xKHQ+++vv/XxL2Lrr6W0+82/327v0//l+vu/Tniv/HC+xGW/TP8BXv8RW+P470Az8d8BZvK/Aw2lfwcciv8OOBT/Hc6hW/532Ev/Du/T6d8h3EL/jEOh0A+voXGxL7ewkj/i0C3c93EoIOYnGvocCPIzDoW/3f24lRxvuMfHH/+Kl4Yt+PdzCP4RLtfKv8IPx/jxz9Buwj/m6C1HP+Xo5xz9JUf3HD1y9Ncc/S1HT4vsnvD546aw/PGiW8e/vSn8+RjXMnz8M/zQomsn0FuO7jl65Ohpkff8eNN8Vc/X5hh7vqKxZ4run1P0yNHTIu/5sa2+quf7eFjPVzT2TNH9c4oeOXpa5D11F3jB4Kt6vo+Hnq9o7Jmi++cUPXL0tMh76ufhSs/38dDzFY09U3T/nKJHjp4WeU/9KF3p+T4eer6isWeK7p9T9MjR0yLr+eVTqecx7j1bNPTM0T1Hjxw9LfKeH4ejr9mfX84fusf7UovGnq+pj+iepx45elrkPT9+hv+qnucPx9bzFY09U3T/kqJHjp4Wec+PH76/qufrJ83h/vnlFY09U3TPU48cPS3ynjUefXn9JDb2fEVjzxTd24UfU48cPS3ynjUefck8atHYM/MoTz1y9LTIe9Z49CXzqEVjz8yjPPXI0dMi71nj0ZfMoxaNPTOP8tQjR0+LvGeNR18yj1o09sw8ylOPHD0t8p41Hn3JPGrR2DPzKE89cvS0yHpePtWAdM47kXo2VIXsDtkDsqdnoW6NS5dPGUw9s7oZTTCnumlOdccs1K3h6fIp86lnVjcTCuZUN82p7piFujVKXT5lTPXM6mZQwZzqpjnVHbNQtwary6dMq55Z3cwrmFPdNKe6Yxbq1ph1+ZSh1TOrm7EFc6qb5lR3zELdGrounzK7emZ1M71gTnXTnOqOWahbI9jlU0ZYz6xuhhjMqW6aU90xC3VrILt8yiTrmdXNLIM51U1zqjtmoW6NZ5dPGWg9s7oZaTCnumlOdcfM616KVDvmA9VaNtbN2f2SswdkT89C3SLVLkC1llldoFqeU12gmmWhbpFqF6Bay6wuUC3PqS5QzbJQt0i198dw4eHApWVWF6iW51QXqGZZqFuk2gWo1jKrC1TLc6oLVLMs1C1S7QJUa5nVBarlOdUFqlkW6hap1h7dDifcS8usLlAtz6kuUM2yULdItQtQrWVWF6iW51QXqGZZqFuk2vvH7umtlh8YXtrcx19B9938yBAy3XfnVLsUqXbMR0zk54aXNmd185NDmFPdOdWWItWO+VC3ZeNmyNn9krMHZE/PfDMsRaod87FuItPbpc2Nq5sz1QWqWRbqFqm2ANVaZqsLVMtzqgtUsyzULVJtAaq1zOoC1fKc6gLVLAt1i1RbgGots7pAtTynukA1y0LdItUWoFrLrC5QLc+pLlDNslC3SLUFzmots7pAtTynukA1y0LdItUWoFrLrC5QLc+pLlDNslC3SLX3L5FFqrXM6sJZLc+pLpzVLAt1i1Rb4KzWMqsLZ7U8p7pwVrPM665Fqh3zARMtG+vm7H7J2QOyp2ehbpFqK5zVWmZ14ayW51QXqGZZqFuk2gpUa5nVBarlOdUFqlkW6haptgLVWmZ1gWp5TnWBapaFukWqvX+dLt4ZWmZ1gWp5TnWBapaFukWq6XPSXDeR6e3S5safyHKmukA1y0LdItVWoFrLbHWBanlOdYFqloW6RaqtQLWWWV2gWp5TXaCaZaFukWorUK1lVheoludUF6hmWahbpNoKVGuZ1QWq5TnVBapZ5nW3ItWO+UC1lo11c3a/5OwB2dOzULdItQ2o1jKrC1TLc6oLVLMs1C1SbQOqtczqAtXynOoC1SwLdYtU24BqLbO6QLU8p7pANctC3SLVNqBay6wuUC3PqS5QzbJQt0i1DajWMqsLZ7U8p7pANctC3SLVNqBay6wuUC3PqS5QzbJQt0i1DajWMqsLVMtzqgtUsyzULVJtA6q1zOoC1fKc6gLVLAt1i1TbgGots7pAtTynukA1y7zuXqTaMR+o1rKxbs7ul5w9IHt6FuoWqabflEg/77bM6gLV8pzqAtUsC3WLVNuBai2zukC1PKe6QDXLQt0i1XagWsusLlAtz6kuUM2yULdItR2o1jKrC1TLc6oLVLMs1C1SbQeqtczqAtXynOoC1SwLdYtU24FqLbO6QLU8p7pANctC3SLVdqBay6wuUC3PqS5QzbJQt0i1HajWMqsLVMtzqgtUsyzULVJtB6q1zOoC1fKc6gLVLPO61yLVjvlAtZaNdXOm3yp6/2/p2o85/VpRyvQbQ2MW6hapdgWqtczqAtXynOoC1SwLdYtUuwLVWmZ1gWp5TnWBapaFukWqXYFqLbO6QLU8p7pANctC3SLVrkC1llldoFqeU12gmmWhbpFqV6Bay6wuUC3PqS5QzbJQt0i1K1CtZVYXqJbnVBeoZlmoW6TaFajWMqsLVMtzqgtUsyzULVLtClRrmdUFquU51QWqWRbqFql2Baq1zOoC1fKc6gLVLPO6tyLVjvlAtZaNdXN2v+TsAdnTs1C3SLUbUK1lVheoludUF6hmWahbpJp+BTodLVtmdYFqeU51gWqWhbpFqknakOsmMr3J+RB/nNFmSJnqAtUsC3WLVLsB1VpmqwtUy3OqC1SzLNQtUu0GVGuZ1QWq5TnVBapZFuoWqXYDqrXM6gLV8pzqAtUsC3WLVLsB1VpmdYFqeU51gWqWhbpFqt2Aai2zukC1PKe6QDXLQt0i1W5AtZZZXaBanlNdoJplXvdzkWrHfKBay8a6ObtfcvaA7OlZqFuk2megWsusLlAtz6kuUM2yULdItc9AtZZZXaBanlNdoJploW6Rap+Bai2zukC1PKe6QDXLQt0i1cD2cQHdB2Tau4lgqgtUmys/Lodl4xSkfc3vrJ/z8a2WyPTW5z5WXHXTnOoC1ebmj8sh26jUBaplh4fqAtVA/wFzujOM14bNUKRac3SMv4iQVR6qC1QDCwjMqe54bahbpFpTdVjdRCbVBaqBDATmVHe8NtQtUq0ZO6xuIpPqAtXACQJzqjte63WLWpALeEF6Nt7IwAwCcw/Inp6FukWqgR7kAn4QyO6QqS5Qbe4IuRxajsKdoWk8xs2QbR9v5+vas1zVTQRTXaDaXBVyOewclbpANbCFnK8b68JZDYQhfm3YDEWqgTPkkt0fWl04q4E2BOa0d8drQ93iWQ3UIRdwh0CmzQBUA32Iz4W6xbMaGEQuoBCBTHUT6bR34aw214hcDnNHZe/CWQ1MIufrxr2bSKe6cFab20Quh8CjUhfOaiAUOV831k2kU104q82lIpfD41GpC2c18IqcrxvrJtKpLpzV5m6RpegWOef9B8ieDVSD7A7ZA7KnZ/ZWWw6Px9ev7jkf6yYyvfW54eddyFQ3U82zULd2VlvALdIzW918VoM51c1U8yzUrZ3VFnCL9Mzq5rMazKluPqt5FurWqLaAW6RnVjdTDeZUN5/VPAt1a1RbwC3SM6ubn0DCnOrms5pnoW6Nagu4RXpmdfNZDeZUN1PNs1C3dlZbwC3SM6ubz2owp7qZap6FurWz2gJukZ5Z3XxWgznVzVTzLNStndUWcIv0zOrmsxrMqW6mmmdet+gWWcAt0rOxLrhFYO4B2dOzULd2VlvALdIzq5ufQMKc6gLV5m6R5fB4FCAMbpHzNezHmTfI7pCpLlBt7hZZDo9HpW4+q52vEesC1cAtAtdqM4zXhs1QpBq4RRZwi0Cm1c1PICFT3elZbTk8HpXVzZ+rna8RVxeoBm4RuFZ1x2vD6hapBm6RBdwikGl181kNMtWdPoFcDo9HZXXzWe18jbi6QDVwi8C1qjt9ArkcHo9K3XxWO18j1gWqgVsErlXd6RPIpegWOefDaSJ7RHQjA6rlTDcyoNrcLbIU3SLnfKgLbpE+Nx5+wC0Cc0/P/K1WdIss4Bbp2Ug1cIvA3AMy1R1JF+oWz2rgFlnALQLZHTLVBarN3SLL4fEovNXALXK+RnirZWeI6uYnkJBpdedUOzwelbr52yILuEUgU12gGrhFfC5shuJZDdwiC7hFIFPd/AQSMq3unGqHx6OyuvlztQXcIpCpLlAN3CI+F1a3eFYDt8gCbhHIVDc/gYRMqzun2uHxqKwuUA3cIkvOVDc/gYRMdedUOzwelbr5CeQCbhHIVDc/gYRMdaefqy1Ft8g5H6gGbpE+N1IN3CIw9/TM9+7h8SisLrhFFnCLQHaH7AGZ6s6pdng8KnXzt0UWcItAprr5czXIVHecC6tbfAIJbpEF3CKQqS5QDdwiPhfqFs9q4BZZwC0CmeoC1cAt4nOhbpFq4BZZsh/kDTLVBaqBW8TnQt3iWQ3cIgu4RSBTXaAauEV8LtQtUg3cIgu4RSBTXaAauEV8LtQtPoEEt8gCbhHIVBeoBm4Rnwt1i08gwS2ygFsEMtUFqoFbxOe8btEtsoBbpGfj4QfcIjD3gOzpWahbfAIJbpEF3CKQ3SFTXXgCOXeLLIfHo0A1cIucrxEOP9kZorpANXCL+FxY3SLVwC2ygFsEMtUFqoFbxOdC3SLVwC2ygFsEMtUFqoFbxOdC3SLVwC2ygFsEMtUFqoFbxOdC3SLVwC2ygFsEMtUFqoFbxOdC3SLVwC2ygFsEMtUFqoFbxOdC3SLVwC2ygFsEMtUFqoFbxOdC3SLVwC2ygFsEMtUFqoFbxOe8btEtsoBbpGcj1cAtAnMPyJ6ehbpFqoFbZAG3CGR3yFQXqDZ3iyyHx6NANXCLnK8RqJadIaoLVAO3iM+F1S1SDdwiC7hFIFNdoBq4RXwu1C1SDdwiC7hFIFNdoBq4RXwu1C1SDdwiC7hFIFNdoBq4RXwu1C1SDdwiC7hFIFNdoBq4RXwu1C1SDdwiC7hFIFNdoBq4RXwu1C1SDdwiC7hFIFNdoBq4RXwu1C1SDdwiC7hFIFNdoBq4RXzO6xbdIgu4RXo2Ug3cIjD3gOzpWahbpBq4RRZwi0B2h0x1gWpzt8hyeDwKVAO3yPkagWrZGaK6QDVwi/hcWN0i1cAtsoBbBDLVBaqBW8TnQt0i1cAtsoBbBDLVBaqBW8TnQt0i1cAtsoBbBDLVBaqBW8TnQt0i1cAtsoBbBDLVBaqBW8TnQt0i1cAtsoBbBDLVBaqBW8TnQt0i1cAtsoBbBDLVBaqBW8TnQt0i1cAtsoBbBDLVBaqBW8TnvG7RLbKAW6RnI9XALQJzD8ienoW6RaqBW2QBtwhkd8hUF6g2d4ssh8ejQDVwi5yvEaiWnSGqC1QDt4jPhdUtUg3cIkv2g7xBprpANXCL+FyoW6QauEUWcItAprpANXCL+FyoW6QauEUWcItAprpANXCL+FyoW6QauEUWcItAprpANXCL+FyoW6QauEUWcItAprpANXCL+FyoW6QauEUWcItAprpANXCL+FyoW6QauEUWcItAprpANXCL+JzXLbpFFnCL9GykGrhFYO4B2dOzULdINXCLLOAWgewOmeoC1eZukeXweBSoBm6R8zUC1bIzRHWBauAW8bmwukWqgVtkAbcIZKoLVAO3iM+FukWqgVtkAbcIZKoLVAO3iM+FukWqNe/H8Cv5S/aDvEGmukA1cIv4XKhbpFrzfljdRCvVTZnqAtVypjvDOBfqFqkGbpEF3CKQqS5QLWeqO/8O5OHxqNwZ4DuQ2Rmi1YVv9oNbBOZUd/4dyMPjUakL34HMzhDVhW/2g1sE5lR3/h3IoltkAbdIz0aqgVsE5h6QPT3zvXt4PAqrC26RBdwikN0hU12g2twtshTdIud8+IYpuEX63PgNU3CLwJxWd/4dyKJbZGkukPFGBm6RPmd1gWrgFvFrw2YoUg3cIgu4RSDTZgCq5UyrO86FukWqgVtkAbcIZKoLVAO3iM+FukWqgVtkAbcIZKoLVAO3iM+FukWqNe+H7d1Eq7clO0NUF6gGbhGfC3WLZ7Xm/bC6iWCqC1TLmW5kaU57d061oltkad4Pq5sIprpAtZypbppT3SnV1qJb5Jz3+27PBqpBdofsAdnTM9sMa9Etcs7HuolMb31uuO9CprqZap6FurXfV1vBLdIzW93sFoE51c2/r+ZZqFs7q63gFumZ1U0E02bIVINMm2GcC3VrVFvBLdIzq5sIprqZapCp7pRq6+H2+PqfyM75uHcTrbR3U6a6mWqQqe44F1a3RrUV3CI9s9XNZzWY095Nc6o7Pauth9ujsrovMg333fM1/LEIZFrdTDXIVHd6VlsPt0elbj6rna8R62aqwZxWN1PNs7AZak8gV3CL9Mw2Q6YazKlupppnXrfoFlnBLdKzsS64RWDuAdnTs1C39gRyBbdIz6xuotUd5lQXqDZ3i6xFt8g5H25k2Q/y1udGCOc51QWqzd0ia9Etcs7HuolWqgtUA7cIzGkzzKl2eDwKdwZwi6zgFoFMmwGoljPVnVOt6BZZm/djvO9mZ4hWF6gGbhGYU9051Q6PR2V1X8SxuvkJ5Jo9IlrdfFaDTHXnVCu6Rdbm/bC6+azW5+ytBlTLvhHVnVOt6BZZm/fD6uazWp+zuvlzNZhT3elZbS26Rc75eGfIZ7U+Z3Xz52owp7rzs1rRLbI2P8i4uuAW6XNjXXCLwNzTM6da0S2yglukZyPVwC0Ccw/IVHckXahbPKuBW2QFtwhkd8hUF6g2d4usRbfIOR/2bnaGvPU52wxwVsvXanXnVCu6RdbmArG9m2ilunBWA7cIzKnunGqHx6OACXCLrOAWgUybAc5qOVPdOdWKbpG1uUBsdYFq2RmiukA1cIv4XHir1Z5AruAW6ZndGRLBVBeoljOt7pxqRbfI2rwftrpANXCL9Gs//lq6M8BZbe4WWYtukXM+3hmAatkjotUFquVMqzunWtEtsjY/yLi64Bbpc+ONDNwiMPf0zPdu0S2yglukZ+Pezb6RO8w9IFPdOdWKbpG1eT9sdROZ3vqcrW7+tgjMqe70c7X1cHsU7rvgFjlfIzwWyc4QrS5QDdwiPhc2Q/EJJLhFVnCLQKa6cFYDt4jPhbq1z9VWcIv0zPYunNXALQLXajPMqXa4PSqbAc5q4BZZc6bVBaqBW8TnwuoWqQZukRXcIpCpLlAN3CI+F+rWPldbwS3SM9sM8AQS3CJwrTbD/Kx2uD0qmyF/W2QFtwhkWl2gGrhFfM5Xt+gWWcEt0rNxdcEtAnMPyJ6ehbrFJ5DgFlnBLQLZHTLVhSeQc7fIWnSLnPPhR5zsB3nrcyPVwC0Cc1rdOdUOt0dh74JbZAW3CGRaXaAauEV8LmyGItXALbKCWwQy1QWqgVvE50LdItXALbKCWwQy1YWzGrhFfC7ULX6uBm6RFdwikKkuUA3cIj4X6hapBm6RFdwikKkuUA3cIj4X6hapBm6RFdwikKkuPIEEt4jPhbrFz9XALbKCWwQy1QWqgVvE57xu0S2yglukZyPVwC0Ccw/Inp6FukWqgVtkBbcIZHfIVBeoNneLrEW3yDkfqJb9IG99bqQauEVgTqs7p9rh9ihQDdwiK7hFINPqAtXALeJzYTMUqQZukRXcIpCpLlAN3CI+F+oWqQZukRXcIpCpLlAN3CI+F+oWqQZukRXcIpCpLlAN3CI+F+oWqQZukRXcIpCpLlAN3CI+F+oWqQZukRXcIpCpLlAN3CI+F+oWqQZukRXcIpCpLlAN3CI+53WLbpEV3CI9G6kGbhGYe0D29CzULVIN3CIruEUgu0OmukC1uVtkLbpFzvlAtewHeetzI9XALQJzWt051Q63R4Fq4BZZwS0CmVYXqAZuEZ8Lm6FINXCLrOAWgUx1gWrgFvG5ULdINXCLrOAWgUx1gWrgFvG5ULdINXCLrOAWgUx1gWrgFvG5ULdINXCLrOAWgUx1gWrgFvG5ULdINXCLrOAWgUx1gWrgFvG5ULdINXCLrOAWgUx1gWrgFvE5r1t0i6zgFunZSDVwi8DcA7KnZ6FukWrgFlnBLQLZHTLVBarN3SJr0S1yzgeqZT/IW58bqQZuEZjT6s6pdrg9ClQDt8gKbhHItLpANXCL+FzYDEWqgVtkBbcIZKoLVAO3iM+FukWqgVtkBbcIZKoLVAO3iM+FukWqgVtkBbcIZKoLVAO3iM+FukWqgVtkBbcIZKoLVAO3iM+FukWqgVtkBbcIZKoLVAO3iM+FukWqgVtkBbcIZKoLVAO3iM953aJbZAW3SM9GqoFbBOYekD09C3WLVAO3yApuEcjukKkuUG3uFlmLbpFzPlAt+0He+txINXCLwJxWd061w+1RoBq4RVZwi0Cm1QWqgVvE58JmKFIN3CIruEUgU12gGrhFfC7ULVIN3CIruEUgU12gGrhFfC7ULVIN3CJr9oNo7yaCqS5QDdwiPhfqFqkGbpEV3CKQqS5QDdwiPhfqFqnWvB/j98jALbKCWwQy3cjgO5Bzt8hadIuc8/FGBt+BBLdIv3b8ymae041s/h3IoltkBbdIz0aqgVsE5h6QPT3zzVB0i6zgFumZ1YXfV8seEdUFqs3dImvRLXLOh80AbpE+N1IN3CIwp9WdU63oFlnBLdIzW134fbXsEdHqpjnVnX+z//B4FCAMbpEV3CKQ3SFT3UQ61Z1/s/9we1Tqvsg03sjALbLmTHWBauAW8bnwVitSDdwiK7hFIFNdoBq4RXwu1C1SDdwia/aDvEGmukA1cIv4XKhbpBq4RdbsB1Fd+A4kuEVgTnt3/h3IoltkBbdIz+zOkEin1YWzGrhFfM5Wdyu6Rc55v+/2bKgL2R2yB2RPz0Ld2lltay6Q4c7QM6ubqQZzqpup5lmoW/t9tQ3cIj2zutktAnOqm39fzbNQ950gX3/f3cAt0jOrm6kGc6qbqeZZqFs7q23gFumZ1U200t7NZzXItHenVNuKbpFzPr7VEq3e+tzwIw5kWt10repOv9m/HR6PymbI3+w/X8N/zQMyrW6mGmSqO86FzVCj2ta8H3ZnSLTS6qZMdTPVIFPdcS7UrVFtay4Qq5sIprqZapBpM+Szmmehbu0J5AZukZ7ZWy1TDeZUN81pdadnta3oFjnnw1ste0Te+tz4VstzD5h7euare3g8Cm81cIts2Q+iukC1nKkuUG3uFtmKbpFzPq5u/n21Pmerm39fDea0utOz2lZ0i5zzsW4ik1YXqAZuEZhT3elZbSu6Rc75WDfRSnWBauAWgTnVnVOt6BbZwC3Ss/HOAG4RmNPeBarN3SJb0S1yzsfVTbTS6uYnkJCpbprT6s6pVnSLbOAW6ZmtLlAte0RUN82p7pxqRbfIBm6RnlldoJo5Q379wz//9I3qAtXmbpGt6BY55+NmyE8g+5zdyPJZDea0unOqFd0iG7hFejaubvaI3GHuAdnTM6da0S2ygVukZ1YXqJZ9I6oLVJu7RbbD41GAMLhFztcIP+9mZ4hWF6gGbhGfC6tbPKs178f4AyS4RbacqW7+XA0ybYY51YpukQ3cIj2zzQBUA7cIXKu6c6oV3SIbuEV6ZnUTrbS6+QkkZKo7P6sV3SIbuEV6ZnWBauAWgWtVd061w+NReau9iGN7F85q2Rmi1YWzGrhFfC681YpnNXCLbNkP8gaZ6uZvi0Cm1Z0+gdyKbpFzPlAt+0FUF85q4BaBOdWdU63oFtnALdKzce9mj8gd5h6QPT3zzVB0i2zgFumZ1QWqZd+I6gLV5m6RregWOefDZjAXyPGT1lufG3/EyXOqC08g526RregWOedjXTirgVukX/vxV1BdeAJpWdgMxSeQ4BbZwC0CmfYuPIEEt4jPhbq1b4ts4Bbpme1doBq4ReBavdXmVCu6RbbmAhkxAW6RPmd7F55AglvErw2rW3wCCW6RDdwikGkzANXALeJzoW6RauAW2bIzRHcGOKuBWwTmtBnmVCu6RbbmArHNAGe17AzR6sJZDdwiPuerW3SLbOAW6dn4VgO3CMw9IHt6FuoWP1cDt8gGbhHI7pCpLlBt7hbZim6Rcz5gAtwifW68M4BbBOa0uvMnkEW3yAZukZ7ZZoAnkOAWgWtVd35WO9wehR/PwS2ygVsEMm0GoBq4RXwu7N0i1cAtsoFbBDLVhbMauEV8LtStfVtkA7dIz2wzwFkN3CJwrTbD/Kx2uD0qmwHOauAW2XKm1QWqgVvE58LqFqkGbpEN3CKQqS6c1cAt4nOhbvFzNXCLbOAWgUx1gWrgFvE5r1t0i2zgFunZuHfBLQJzD8ienoW6RaqBW2QDtwhkd8hUF6g2d4tsRbfIOR+oBm6RPjdSDdwiMKfVnVOt6BbZwC3SM9sMQDVwi8C1qjun2uH2KNzIwC2ygVsEMm0GoBq4RXwu7N0i1cAtsoFbBDLVBaqBW8TnQt0i1cAtsoFbBDLVhbMauEV8LtQtntXALbKBWwQy1QWqgVvE50LdItXALbKBWwQy1QWqgVvE50LdItXALbKBWwQy1QWqgVvE57xu0S2ygVukZ+ONDNwiMPeA7OlZqFukGrhFNnCLQHaHTHWBanO3yFZ0i5zzgWrgFulzI9XALQJzWt051YpukQ3cIj2zzQBUA7cIXKu6c6odbo8C1cAtsoFbBDJtBqAauEV8LuzdItXALbKBWwQy1QWqgVvE50LdItXALbKBWwQy1QWqgVvE50LdItXALbKBWwQy1QWqgVvE50LdItXALbKBWwQy1QWqgVvE50LdItXALbKBWwQy1QWqgVvE57xu0S2ygVukZ+ONDNwiMPeA7OlZqFukGrhFNnCLQHaHTHWBanO3yFZ0i5zzgWrgFulzI9XALQJzWt051YpukQ3cIj2zzQBUA7cIXKu6c6odbo8C1cAtsoFbBDJtBqAauEV8LuzdItXALbKBWwQy1QWqgVvE50LdItXALbKBWwQy1QWqgVvE50LdItXALbKBWwQy1QWqgVvE50LdItXALbKBWwQy1QWqgVvE50LdItXALbKBWwQy1QWqgVvE57xu0S2ygVukZ+ONDNwiMPeA7OlZqFukGrhFNnCLQHaHTHWBanO3yFZ0i5zzgWrgFulzI9XALQJzWt051YpukQ3cIj2zzQBUA7cIXKu6c6odbo8C1cAtsoFbBDJtBqAauEV8LuzdItXALbKBWwQy1QWqgVvE50LdItXALbKBWwQy1QWqgVvE50LdItXALbKBWwQy1QWqgVvE50LdItXALbKBWwQy1QWqgVvE50LdItWa92P8tkj2g7xt4BaBTPfdRDrdGebfgSy6RTZwi/RsvJGBWwTmHpA9PfPVLbpFNnCL9MzqwncgwS0C16rueG2oW/wt7Ob9GDcDuEW2nN0h0+rCdyDnbpGt6BY55wOEsx/krc+NEAa3CMxpdedUK7pFNnCL9Mw2A3yzP3tEtLppTnXn3+wvukW25gKxzZBopdWF70CCWwTmVHf+HcjD7VH4mQHcIhu4RSDT3gWqgVvE58JbrUg1cIts2Q/yY88+f/Pt99+9voKc536CuZ8h+wtk+usDJXP2V7j2b5DpX3V8vbBMRZqC02QDpwlk+msBTXOmuvPvXhadJhs4TXpmb3H4jQJwmsC1qjul6V50mpzzfgPt2VAXsjtkD8ientlm2A+nyNe/xc/5WDeR863PDfd7yFQ3nxE9C3VrNN3BadIzW93sNIE51c009SzUrf2e3A5Ok55Z3XxGhDnVzb9R4FmoW/uNgh2cJj2zupmmMKe6maaehbq1M+LefCMDTXtmdTNNYU5105zealOa7kWnyTkf32qJknqr5e9eQqa6aU51p9+93A9/SOXOkL97eb6G/0oqZLqRZfpBprpTqu2HU6RS90Uc2wyJVlrdlKluphpkqjul2n74Qyp1X8Sxuvk3Cs7XtRVX3fzkEzLVnVOt6DTZm5dkrAtOkz43YgKcJjD39MzvDEWnyQ5Ok56NdwZwmsDcAzLVnZ4R96LT5JwPdwZzkJw/pPY5W938298wp7rTJ5970Wlyzse6+ffk+pzVTXNaXaDa3GmyF50m53ysm8j01uesbn7yCXNa3ekZcS86Tc75WDefEfuc1c1PPmFOdedUKzpN9uYbsTsDUA2cJv3aj7+CNgNQbe402YtOk3M+rm6ilTZDyu6QqW6a0+rOqVZ0muzgNOmZ3ciAauA0gWtVd061otNkb74R2wxANfOSHDc3rS5QLWeqO6da0Wmyg9OkZ+PqgtME5h6QPT1zqhWdJjs4TXpmdfOTT5hTXTirzZ0me9Fpcs6Ht1r2krz1ufFGBk4TmNPqzql2+EMKP5GB02QHpwlkd8i0ukC1udNkLzpNzvm4ukC17C9RXaBazrS6c6oVnSY7OE16ZnsXzmrgNIFrVXdOtaLTZAenSc+sLpzVwGkC16ru/KxWdJrszUEy3nezl0RvNaAaOE1gTnXnVDv8IZW3GpzVwGmy50x7F85qOVPdOdWKTpO9+UZsdYFq4DTp144/4uQ51Z1Treg02cFp0rNx74LTBOYekD09c6oVnSY7OE16ZnWBauA0gWtVd35WKzpN9uYbGTcDOE363Eg1cJrAnOrOqVZ0muzNN2J14awGTpN+7bh3wWnic2EzFJ9AgtNkB6cJZHfItHfhCaRloW7xCSQ4TfbsKnmDTHXhrJYzbYY51YpOkx2cJj2ztxpQLftLtLpwVrMsrG7t87wdnCY9s7pANXCawLVa3TnVDn9IgWrgNNnBaQKZNgNQLWeqO6da0Wmyg9OkZ7a6+XM1mNNmyN9S8cw3Q9FpsoPTpGdjXXCawNwDsqdnoW7tu5c7OE16ZnWBatlforpwVps7Tfai0+ScD6cJcJr0uZFq4DSBOa3unGpFp8kOTpOe2erC52rgNIFrVXf6LZW96DQ55+Pqwlktu0ru/doRwuA08bmwd4tUA6fJDk4TyFQXqAZOE58LdWvfvdzBadIz2wxANXCawLXaDPOzWtFpsjcHyfgTGThN+py91eBzNXCa+LVhdWvfFtnBadIzW114AglOE7hWqzun2uEUKUAYnCY7OE0g096FJ5DgNPE5X92i02QHp0nPxtUFpwnMPSB7ehbqFqkGTpMdnCaQ3SFTXaDa3GmyF50m53y474LTpM+NbzVwmsCcVndOtaLTZAenSc9sMwDVwGkC16runGpFp8kOTpOeWV34tgg4TeBa1Z0/gTycIoU7AzhNdnCaQKa9C1QDp4nPhbdakWrgNNnBaQKZ6ubvXkKm1Z1T7XCKVFYXvi0CTpM9Z6oLVAOnic+F1S1SDZwmOzhNIFNdOKuB08TnQt130lRWF74tAk6TPWeqC1QDp4nPed2i02QHp0nPxjsDOE1g7gHZ07NQt0g1cJrs4DSB7A6Z6gLV5k6Tveg0OecD1cBp0udGqoHTBOa0unOqFZ0mOzhNemabAagGThO4VnXnVCs6TXZwmvTM6gLVwGkC16runGqHU6RwZwCnyQ5OE8i0d4Fq4DTxufBWK1INnCY7OE0gU12gGjhNfC7ULT6BBKfJDk4TyFQXqAZOE58LdYtUA6fJDk4TyFQXqAZOE58LdYtUA6fJDk4TyFQXqAZOE5/zukWnyQ5Ok56NdwZwmsDcA7KnZ6FukWrgNNnBaQLZHTLVBarNnSZ70WlyzgeqgdOkz41UA6cJzGl151QrOk12cJr0zDYDUA2cJnCt6s6pVnSa7OA06ZnVBaqB0wSuVd051Q6nSIFq4DTZwWkCmfYuUA2cJj4X3mpFqoHTZAenCWSqC1QDp4nPhbpFqoHTZAenCWSqC1QDp4nPhbpFqoHTZAenCWSqC1QDp4nPhbpFqoHTZAenCWSqC1QDp4nPed2i02QHp0nPxjsDOE1g7gHZ07NQt0g1cJrs4DSB7A6Z6gLV5k6Tveg0OecD1cBp0udGqoHTBOa0unOqFZ0me/ONfOm/GftDy/S5av9t2T5ndeGb/dlzorrn3Pl6YTMUvy3SHCRW96SQ1wWqgdNkB6dJy7Bu8XO15iCxuietvC58BxKcJjs4TVqGdYtUaw4Sq3vSyuvC52rgNNnBadIyrFukWnOQWN2TVl4Xvi0CTpMdnCYtw7pFqjUHidU9aeV14XM1cJrs4DRpGdYtUq35RqzuSSuvC98Wyf4S3Xfh2yKvjOoWnSZ7c5WMdV+Z1QWnSb/24+b2gOzZMqxbpFrzjVjdk0xeF74tAk6TPWeqe16rI5vu437fPfwhhR/Pm2/E6p4U8rrwW9jZX6LVhd/CfmW4uu8EqdR9kcnqjhR6/Xpd9pfcd3CaQKbVnVOt6DTZm2/E6gLVsqtEdeGb/eA0aXO4ukWqNd+I1QWqgdNkB6cJZFrd8fXC3i1SrTlIrC5QLbtKtLpwVgOnSZvD1S1SrXk/rC5QLbtFVBfOajnT6o6vF1a3SLXm/bC6QLXsDFFdOKuBW6TN4eoWqda8H1YXqJY9IqoLZ7WcaXXH17PVvRbdIue8ThND3ZaN990+N/x4DtkDsqe/Xqhbo9q1uUCsbqZan7O6iXSqm89qLYPNcD3cHl+PiXM+rm6mWp+zuvm3sGFOqzu+XljdGtWuzQViq5up1uesbj6rwZzqTql2PdweldV9kcnqZqqdr+vCA8i0GfI3+1uGm6FGtWvzfljdTLU+Z6ubn0DCnFZ3SrVr0S1yzse9m6nW56xuphrMqe74emHv1qh2bd4PW91MtT5ndTPVYE51p1S7Ft0i53xc3Uy1Pmd1M9VgTnXH1wurW6PatXk/bHUz1fqc1c1UgznVnVOt6Ba5Nj/IWPeVGdWyR+Terx3OapA9W0Z3hqJb5Nq8H1YXqAZukX6t1QWqva7Fuu8EKdx3m/fD6gLVsm9EqwtUy5lW95yDo+W16BY558Nb7eUC8c2QP1fr19rqpjnVnVOt6Ba5Nu+HrS5Qzfwgp/CgX2t1gWqva3EzFKnWvB9WF6hmfpBWF6iW57S6c6oV3SLX5v2wukA1cIv0a211E+lUd061olvk2rwfVheoBm6Rfq3VTaRT3TnVim6Ra/N+WF2gWvaI6M4AVMuZ6s6pVnSLXJv3w+oC1cAt0q+11c1PINscvdWKbpFrc4aMdV+Z3cjALdKvHevmuWebw7rFs1rzflhdoFp2htyvOXtAprrj6/mPOEW3yLV5P6wuUC17RFQXqJYz1Z2f1YpukWvzflhdOKtlZ4jqwlkN3CJtDjdD7XO1a/N+WF2gGrhF+rW2d4Fqr2uxbpFqzfthdYFq2SOi1QWq5UybYU61olvk2rwfVheolj0iqgtntZyp7pxqRbfItXk/rC5QDdwi/VrbDEC117W4GWpPIK/N+2F1gWrgFunXWt1EOq3unGpFt8i1eT+sLlAN3CL9WqsLVHtdS6tbdItcmzNkrPvKjGrgFunXjnXz3LPNYd0i1Zr3w+oC1bJH5H4FtwhkqjunWtEtcm3eD6sLVMseEdUFquVMdedUK7pFrs0FYnWBauAW6dfaZoCz2uta3AxFqjXvh9UFqmVniFY3f64GmVZ3fD3/EefweBQO7s37YXWBatkZorpANXCLtDlc3drnatfm/bC6QLXsDFFdoBq4Rdoc1i0+gWzeD6sLVMseEdWFJ5A502aYn9WKbpFr835YXaBadoaoLpzVwC3S5nB1i08gmwvE6gLVsjNEdeEJJLhF2hzVVVZ6RnbMh4dOr8yo1ubGB6Y5e1xz9mwZ1i1SrXk/xtV9ZV43f1vkCm4RyFR3TrWiW+TavB9WF6iWPSL3fu2IiTynunOqFd0i1+b9sLpAtewRUV04q+VMdedPIItukWtzgVhdoBq4Rfq1trpwVntdi3u3eFZrLhCrC1TLzhCtLlAN3CJtDusWqda8H1YXqJY9IqoLVMuZNsP8rFZ0i1ybC8TqAtWyM0R1gWrgFmlzuLrFs1rzflhdoFr2iKguUC1nWt35Wa3oFrk2F4jVBaplZ4jqAtXALdLmaHWLbpFrc4aMdV+ZYQLcIv3a8c6Q555tDusWqda8H1YXzmrZGXK/5uwBmerOqVZ0i1yb98PqAtWyR0R14ayWM9WdU63oFrk274fVBaplj4jqAtVyprpzqhXdItfm/bC6QLXsEVFdOKvlTHXnZ7WiW+TaXCBWF6iWnSGqC1QDt0ibw7dakWrN+2F1gWrZI6K6QLWcaXXnVCu6Ra7NBWJ1gWrgFunX2o0MnkC+rsXVLVKtuUCsLlAtO0O0ukA1cIu0OaxbPKs1F4jVBaqBW+QKbhHItBnm3xYpukWuzRky1n1lRjVwi/Rrx82Q555tjlb38HgUnuI074fVBaplZ8j9mrMHZKo7p1rRLXJt3g+rC1TLHhHVBarlTHXnVCu6Ra7N+2F1gWrZI6K6QLWcqe6cakW3yLV5P6wuUC17RFQXqJYz1Z1TregWuTYXiNUFqmVniOoC1cAt0ubwrVakWnOBWF2gWnaGqC5QDdwibQ7rFp9ANheI1QWqZWeI6sJZDdwibQ7rFqnWXCBWF6iWnSGqC1QDt0ibw7pFqjUXiNUFqmVniOrCWQ3cIm2O6hbdItfmDBnrvjKjGrhF+rUj1fLcs81h3eJZrXk/rC5QLTtD7tecPSBT3TnVim6Ra/N+WF2gWvaIqC5QLWeqO6da0S1ybd4PqwtUyx4R1QWq5Ux151QrukWuzfthdYFq2SOiukC1nKnunGpFt8i1uUCsLlAtO0NUF6gGbpE2h2+1ItWaC8TqAtWyM0R1gWrgFmlzWLdINXCLXMEtApnqAtXALeJz/iHr4fYo/HgObpEruEUgU12gGrhFfC7ULVIN3CJXcItAprpANXCL+JzXLbpFruAW6dkHrd4gu0P2gOzpWahbpBq4Ra7gFoFMddNnbaqbMtUds1D3nSCFvdu8H4NI/ApuEchUF6iWM9Ud50Ldd4JU6r7IZHUTrbQZUqa6QDVwi/hcqFv8tkhzgVjdRCvVTZnqAtXALeJzoW7xc7XmArG6iVaqmzLVBaqBW8TnQt0i1ZoLxOomWqluylQXqAZuEZ8LdYtUay4Qq5topbopU12gGrhFfC7ULZ7VmgvE6iZaqW7KVBeoBm4Rnwt1i1RrLhCrm2iluilTXaAauEV8zusW3SLX5gwZ62aPyFufG78tkuceMPf0LNQtUq25QKxuIpPqwrdFwC0Cc6o7p1rRLXJtLhCrm2iluim7Q6bVTXOqO6fa4fEoUK35QawuUA3cIldwi0CmuuPrhc1QpFpzgVhdoBq4Ra7gFoFMdcfXC3WLVGt+EKsLVAO3yBXcIpCp7vh6oW6Ras0FYnWBauAWuYJbBDLVHV8v1C1SrblArC5QDdwiV3CLQKa64+uFukWqNReI1QWqgVvkCm4RyFR3fL1Qt0i15gKxukA1cItcwS0CmeqOr2d1b0W3yDnvpsKeDWc1yO6QPSB7ehbq1qh2ay6QYXV7ZnUz1WBOdfNZzbNQt3ZWu728H/oOdpMo/tAzq5upBnOqm6nmWahbO6vdmlvE6maq9bnhRxzIVDddq80wpdqt6BY55+PezVTrc1Y3n9VgTnWnVLsdHo+v/5nhnI91M9X6nNXNZzWYU90p1W5Ft8g5H+tmqvU5q5vPajCnulOq3Q6PR2V1X8SxvZupdr6ui2Yg097N3xbxLLzValS7vbwffmfIVOtztrr5rAZzWt0p1W6Hx6Oyui/i2Opmqp2vG1c3n9VgTnXnVCu6RW7NGTLWzR6Rtz43rm6ee8Dc0zPfDEW3yK05Q6xuPqv1Oaubn0DCnOpOz2q3w+NR2AzNBWJ181ntfN2wGcAtAnOqOz2r3YpukXM+3MheLhD9tlG3G/c5W938BBLmVHdOtaJb5NacIba6QDVwi/Rrh8+EIVPdOdUOj0dlM7yIY3WBauAWueVMb7V0rerOqVZ0i9yaM8TqAtXALdKvtdVN16runGpFt8itOUOsLlAN3CL9WqsLVLNrw42sSLXmArG6QDVwi9zALQKZVndOtaJb5NacIVYXqAZukX6trW66VnXnVCu6RW7NBTLWzX6Qtz433sjy3APmnp75Zjg8HoU7Q/ODWF2gGrhFbuAWgUx151QrukVuzQVidYFq4Bbp146bAdwiPhdWt3hWay4QqwtnNXCL3MAtAplWd061w+NR2Qwv4lhdoBq4RW45095N16runGqHx6NSF6iW/SB6q+XP1SBTXaCaZWEz1J5A3poLxFYXqAZukX6t7V2gml0b6taeQN6aM8TqAtXALdKvtbpANbs21C1SrTlDrC5QDdwit5xpM6RrtXfnVCu6RW7NGWJ1gWrgFunX2uoC1exaX92iW+TWXCBj3ewHeetzI9Xy3APmnp6FusUnkM0PYnWBauAWuYFbBDLVnVOt6Ba5NReI1QWqgVukXztuBnCL+FxY3SLVmjPE6gLVwC1yy5k2AzyBtCzUrX2udmt+EKsLVAO3SL/WVheoZteGurXP1W7NBWJ14awGbpF+rdUFqtm1oW6Ras0FYnWBauAWuYFbBDK91eZntcPjUfiZoblArC5QDdwiN3CLQKa608/VbkW3yDkfHotkP4juu/nbIpDprQZUsyxshtrnarfmArHVBaqBW6Rfa3sXqGbXel19SbbytbfbMR9Wt2XjQ6ec3fu1Y9089/S5ULdIteYHGVc3O0PebjlTXXgCmTPVnVOt6Ba5NReI1QWqgVukX2urC5+r2bVhdYtUay4QqwtUA7fIDdwikGl152e1olvk1pwhVheoBm6Rfq2tLlDNrg2rW6Rac4FYXaAauEVu4BaBTKs7fwJ5eDwKmGguEKsLVAO3yA3cIpCp7pxqRbfIrblArC5QDdwi/VrbDHBWs2vDZiie1ZoLxOrCWQ3cIjdwi0Cm1Z2f1YpukVtzgVhdoBq4Rfq1trpANbvWV7foFrk1F8hYN/tB3vrceFbLcw+Ye3oW6hap1vwgVhfOauAWuYFbBDLVnVOt6Ba5NReI1QWqgVukXztuBnCL+FxY3SLVmgvE6gLVwC1yA7cIZFrdOdWKbpFbc4FYXaAauEX6tba6QDW7NqxukWrNBWJ1gWrgFrmBWwQyre6caofHo0C15gKxukA1cIvcwC0CmerOqVZ0i9yaM8TqAtXALdKvtc0AVLNrw2YoUq25QKwuUA3cIjdwi0Cm1Z1T7fB4VDYDfFskO0OEiUSrO2TCBFDNMl/dolvk1lwg4+pmP8hbnxupluceMPf0LNQtUq35QawuUA3cIjdwi0CmunOqFd0it+YCsbpANXCL9GvHtxq4RXwurG6Ras0FYnWBauAWuYFbBDKt7pxqRbfIrblArC5QDdwi/VpbXaCaXRtWt0i15gKxukA1cIvcwC0CmVZ3TrXD7VG4kTUXiNUFqoFb5AZuEchUd061w+1RqQvfgcx+EN3IEq3ukOlGBlSzLGyGItWaC8RWF6gGbpEbuEUg0+rOqXa4PSqrC1TLfhCtLlAN3CIwp7rzb4sU3SK35gIZVzf7Qd763Ei1PPeAuadnvhkOj0dhdZsfxOoC1cAtcgO3CGSqO6da0S1yay4QqwtUA7dIv3a874JbxOfC6hap1lwgVheoBm6RG7hFINPqzqlWdIvcmgvE6gLVwC3Sr7XVBarZtWF1i1RrLhCrC1QDt8gN3CKQaXXnVDvcHpW32os4VheoBm6RG7hFIFPdTLVvf//Hb7/968df/vXL9/8fAAD//wAAAP//dFLbbtswDP0VQu9d4ovihbADJLWBZYv30AF7LbRYcYQ6lkfLyIJh/z7KSbe6WyVAFM8RJR5SaUfW6b3T1YNqa92v0ikA/XfSh0zkMeYSSollICFPMGezDhZYLpfL93AfQ7HAHWOFxA8SPkncMR/hOoa1xHtPRLiLBbTqpDMxvhWI2VuvrUPYRJhHsIlhK/GjnAY+Btf59gWbEHfhf4NCHzT7R3WlnPqqGsPW2LaHvR1al4lArNIpBe7SsYLG9E6Aahp73jSqffJHoT/a87btBlfqvlc1H7uBBZGlCXitahFj4WsTJFgkyULAD8LBVJn4Ob+NO7ahX+Z389AvL8YvTu5g6TQ0Kljl+ePnMXcW4S7p7A+RzqYCWP0rsdwFTrZUVBtW3ugDC5+/SwSQqY/Pe2e7EeVWfLPO2dOzd9Sq0uS9SMDB8m+6Ob67fO8X7YYOLBndujHBTHSWHCnDBST0amlbjZ+h0bXaX3JSZ9PWf7lry86Wnvqj1m71GwAA//8DAFBLAwQUAAYACAAAACEAfGuCVWUiAACv8AAAGAAAAHhsL3dvcmtzaGVldHMvc2hlZXQ0LnhtbJyUW2+bMBTH3yftOyC/BzAQmqAkVdWLVqmapl2fXWOCFYyZ7TTJqn33HZsAmbJVtCixzeX8zv9c7MXlXlTeE1Oay3qJsB8ij9VU5rxeL9G3r3eTGfK0IXVOKlmzJTowjS5X798tdlJtdMmY8YBQ6yUqjWmyINC0ZIJoXzashjeFVIIYuFXrQDeKkdwZiSqIwjANBOE1agmZGsOQRcEpu5F0K1htWohiFTGgX5e80R1tn4/i5YrsINZOz4nEm/ZNz8PJmT7BqZJaFsanUgSttPMo58H8rzgFHROoIGqzbSYAbiC4R15xc3DhIk/Q7H5dS0UeK6jIHieEensFvwj+8Ylgcu5pvGRCe9J5JkdhcBIo9sRtaw2o6G1ZxNOeFQ2w+I2wtIfZdKlsy/Mleg6P1wRmbIdwEsZ2OLl+o9Ui59B7NipPsWKJrnB2dYtnGAWrhWvu75zt9MnaM7J5YIW5ZlVlPwefv6QUXyix9ZvDlutvP9rtAh/Zh3aHPUq5sbh70BeCa80qRm2vewSmJ9Yib/EUdulPpwbW2UM0tWKCXs3pulN253bmJ+XlrCDbylzL6gfPTWkddc8+y90HxtelgaNh6oMT12xZfrhhmsL+g2/92PmisgIwjJ7g9iCBLiV7N+9aKNinc5yEKWiDE+VgQ4/AE91qI8XRs8thD4FCOwjMHcSdRq0tuHjBFnLsbJPBdqxb0OdMYe7cpn6ShvP4YrT0tIsfVB4hcz+8SCI8Gw/BXQLsopOCX51G229tMWBxxKSvp0AmW8qQUijfSSVLnuesrf0LhbGt2lbVtnjbG/9JzThg1PVaPOT6LcLiPttpPBti/Jc2cDRosxvNdf8fAAAA//8AAAD//8Tda3PbRpbG8a+iUU3tJLUpR5SoWzZ2lYQ7IJG48vZmS2srY9cmdkpSMpNvvw2wQeLwf6AQHu7uO/unRgtEP43bAagfnz8+Pr64Dy8P7358+vKPo6e3x6Pjo+dfHz4/m3/9cDo+Pvr4Yv51dXz0/rfnly+/hI+f/t7I8dE/R+OH9z98+MN9fH7/+Nm0Onlzdn787sf3dS83dTdmwevj763cWhmbPk3jZ9Py93cnP37/+7sfv39v2zjbNu1iLskj+aSAFJIiUkxK8GnuIPdd+d5szM0WPVW26Pj8zzZgvZTcgFbGm03qQFyIB/EhgZXzTc+hlYuNRJAYa5hA7tZyft0Z86sLOej3WCpdy6nZRpuknMqFMqXJmWySK03GskmhNDnfNBGDeLYziK+nv25tBs+M8ib+JIfkkjySTwpIISkixaSEdEe6X9Pp1eYjTiBTSArJIDmkgJSQCjKDzCGLrogBN7sp7AfPLt5cmFAO3BXWPb09vjb70E2ary5lEG83bdq8OBAX4kF8SAAJIREkhiSQO0i6ltOLZt9+sbNzz8RPT3d+mr/606Lvp2LIzNDw0HUxeLzqbt4em2PfZu5CHIgL8SA+JICEkAgSQxLIHSS1Ykdnu59rDtiZ+Onpzk/zV39a9P1UjI4ZiP1OLF4+fnr/37df6vMO9SA53pxk1F02ZyebkVrL9Ulnro12Dh3puo1N6dVuSsVPx7spffWnRd9PxXa4VLbDxeiN2YbYr+y/JepO3x6fdT/31dXOPsa2MXu8vqOqa5ucbqLvrWV01l3q6lr27G8btQMRkEJSRIpJCelOkNi8ZjeLmI1P9f32/tu37tXsE8yv3Wy7651s3K7bXIk2o50TXNvP2WYDu2s562zytchNfr0TYn/baLPJSSEpIsWkhHRHSu2n2Z4lZpAcUnRFDJ05S+Qh10R64PG27qYZq81eYXsV4tgfdgbAyraNt5bR2EznerRfnswO56d3kf/N7eXb+7Pr746PvzP/Mf96ezz5clRfPR25jy+P718ePxx/d1Rb9PnX317kT94cpT8/Pjw/Hvmffv756NPno5ePj0d/qxf+21FRX4Ud/ePTy8ejP7789tQs+MZ09Z///Pmnz2+c6cS5Kb85Lj9+ej768OXx+fPfXo6eHx9/OXr5cvTLw8v7j01fH+r1MIsffXz4/fHo16cvv3/68PjhzZH76UPDvzw+mF/65eg3sw717378/PTp/cdfzKXb0csfvz7+YH6f+Ujffvvtj9//ZK7NzMbbXJf52y2ySRspJEWkmJSQ7kipHahO2iA5pOiKSNvIJIsHpNGb0b+2J266lfEztDmta3/cCWBLnQRautqeg/ikgBSSIlJMSkh3pLSl7XVNRspJhSA5DNoNh57L4+vt7YX11bY44F3vXADejtaNLi+b+Zs+PX749P7ly9Nf/pr91exO65C/G4129uKuXehqO2aepdF4a75igWKhYpFisWKJYnfS5Jasr2Z3b92cXlz/i6cWo/VFstzUOxfSt7bR5frkElvVsT8/7cbe9ts58tlWo/FoM2H8jW03fqBYqFikWKxYotidNLmh64tG3CO7ULfzq/cJbkf28rP5bPJ31Fc8vA9X/44/PWvp3IVbXzedmYmwPW/ZObe/HdkLuZ6TZrla9ak+MmaO6PufStX71/r4bIZ/u04794RubaN6+2wb7Vw0u7ZR99xps9w2aL5igWKhYpFisWKJYnfS5GbULobMrZQhm9FebIjNuHvKP7JXSK9vxnUjsRnb5bqbkRZs+t+2CxWLFIsVSxS7kyY3Y/daqg55fWt64GZcX0nINO5c39yO2suNV9PIi6fNct3NqFwsKe1CxSLFYsUSxe6kyc1Yn5G3k/orN6M9qe+mcXSye4VU1xHqC/bX47huJOLIaw9/09d22waKhYpFisWKJYrdSZPbsXsB85Xb0Z6uyu24cxV5a8oq2I6jk51LRNe2EhuyPa3uBpIWtL9g3J3XbBcp7WLFEmlio512T8PbjVbP+b2PKLdNF2bi8yh62j25bDs/u/pXz/Gbbndut4xOdk8/bSuR9tHJzpmT2/bVOQ3aLNgZJcUCxULFIsVixRLF7qTJkeueb37lyNkCTOdku94Tm33EVfezgwK2CkkRKSYlpDtB8kN3z/02idJuMu9/RmTOinH3bnSye5pmW72+82y76qZp3ftovDV/01dn56lYqFikWKxYotidNLlhuye8X5kmWyVQ9gPd09btqO11Nr255qzrkbs3WUcnu2euttVV95R7dLJ76tr21R2ndff1fb/2boFvm3UtUCxULFIsVixR7E6aHKfuqWu9KV+/wjG32ZuzfWVMdk/e/qQje6KmdLR7+mIG6dIcrNa3Df0vT+YeWV8tofPEQn3eWF+XbPdFtySH5JI8kk8KSCEpIsWkxNLlthx7R7onTUhTUkrKSDmpIJWkijQjzUkL0pK0It3cKNaOd2cj3rQD3rV2xLvWDvna5IzZPS38ynzaU8NuPkHOKcgleSSfFJBCUkSKSYklkc/1qnbonq0mpCkpJWWknFSQSlJFmpHmpAVpSVqRTD6xdW5uFWsHXOaTy7ZDruSzvrMnLv++Lp9NN3L/SXJILskj+aSAFJIiUkxKLHXzSbonTUhTUkrKSDmpIJWkijQjzUkL0pK0It3cKHarWDvgIp9Ku3bItXzuXsR9ZT7X1YDu8b0+fZGHfIfkkjySTwpIISkixaTEksinLW9sD/n3bDUhTUkpKSPlpIJUkirSjDQnLUhL0opk8omtc3OrWDvgMp9cth1yLZ+718FfmU9cC9+aWzfIJ8hlK4/kkwJSSIpIMSmxJPK5XtXu8Z2tJqQpKSVlpJxUkEpSRZqR5qQFaUlakUw+sXVMPmmOYu2Ii/NP0U6cf9bP7hzi+N6tVTXPjN02PYtDvkNySR7JJwWkkBSRYlJiSeRz/YFEPkETLjglpaSMlJMKUkmqSDPSnLQgLUkrksknNoXJJ60dcLn/ZLt2yLX95+6dn6/cf3bv/th8gpwzkEvySD4pIIWkiBSTEksin+tVFfkETbjglJSSMlJOKkglqSLNSHPSgrQkrUgmn9gUJp+0dsBlPtmuHXItn7s3D78yn7bu3bl+N3efcHwHuWzlkXxSQApJESkmJZZEPterKvIJmnDBKSklZaScVJBKUkWakeakBWlJWpFMPrEpTD5pjmLtiMvje3dZeXzfvSP7lfns3qm1+0+QcwZySR7JJwWkkBSRYlJiSeRzvaoin6AJF5ySUlJGykkFqSRVpBlpTlqQlqQVyeQTm8Lkk9YOuNx/sl075Nr+c/dG/1fms1sAsPkEOWcgl+SRfFJACkkRKSYllkQ+16sq8gmacMEpKSVlpJxUkEpSRZqR5qQFaUlakUw+sSlMPmntgMt8sl075Fo+D1M/OmP9iOSQXJJH8kkBKSRFpJiUWBL5XH8gkc81dUrJEy44JaWkjJSTClJJqkgz0py0IC1JK5LJJ7aOySetHXCZT7Zrh1zL52HqR2esH5EckkvySD4pIIWkiBSTEksin6wf2VYmnztvbtxM3G/uxydv/Zu7wjMvOoxH23+ebv95tv3nePvP8+0/L7b/vNz+82r7z+u3ZV7Vv+Hc/rJvzRsh6ccvnx/N+xXmrZH/7RWxv318bVdJrIf3y8Onn+V6NO23m+N+3G6N+3G7Me7H7ba4H7eb4n58sf6g9+PL9h/tVrjXfvnx9OnvD58/PT+8fPry+ZCbYpqbgbUrY8Z1vTZmo9+Pxai0A98dlpsPH54en5//bwZmk7x2ZJqI1Ju/Toj75f1v9as4/5/r0qxhvTLaS03p49OzGTjzetDmDaF3a5NvuE04UaeklJSRclJBKkkVaUaakxakJWlFMscDpV6rWLuDlccDpV4rlhXXe+Y1lP3u5zZf1GFO1ZUHa7bv0Da9ybItySG5JI/kkwJSSIpIMSmx1D0skMyOv7nPYp5mrQ8L/2UeDfqlfiDIvNVX///h6enhj+Ojp8ef3h7XTd8V1X2aT93KKb+JitJblN/Ur+n95fb0h/X7en+5NY9xXp1fnn/771Exqe5vvby3xbf/9veX/zDPQa/fNtqZK1zVKSklZaScVJBKUkWakeakBWlJWpFubhS7VaxNnZgrSrs2d8q5k3mT6JBzhSXk5hfIEgjJJXkknxSQQlJEikmJJTFXWEK2rfaaK2YK9cwVZzNXnJ65orR4fa5gVaf8QCkpI+WkglSSKtKMNCctSEvSimTmilLHVsxRrI1dd/60udPmyr517P2OKyxn16flO49bkFySR/JJASkkRaSYlFgSc4XlbNtqr7ly2jtX3M1ccXvmitLi9bmCVZ3yA6WkjJSTClJJqkgz0py0IC1JK5KZK0pNXTFHsTZ2cq50+5PnYPvW1PebKyyt15nanSsgl608kk8KSCEpIsWkxJKYKyyt21Z7zZWz3rnibeaK1zNXlBavzxWs6pQfKCVlpJxUkEpSRZqR5qQFaUlakcxcUer7ijmKtbGTc6Xbn5wr+9b395srLPPXXym4O1dY5mcrj+STAlJIikgxKbEk5grL/LbVXnPFXMn1nIP5m7livjxCvV5RWrw+V7CqU36glJSRclJBKkkVaUaakxakJWlFMnNFedZAMUcxV7E2d9o52L7PGuw3V/jIQf3NGrtzhY8csJVH8kkBKSRFpJiUWBJzhY8c2FZ7zRXzxQg9cyXYzBXzrSrqXFFavD5XsKpTfqCUlJFyUkEqSRVpRpqTFqQlaUUyc0V57kExRzFXsTZ32lzZ97mH/eYKH3+ovwBqd67w8Qe28kg+KSCFpIgUkxJLYq7w8Qfbaq+5Yr7JpWeuRJu5Yr5bSJ0rSgsxV3a+F2DCtZ+SUlJGykkFqSRVpBlpTlqQlqQVycwV5RkMxRzFXMXa3GlzZd9nMPabK3wUY8xHMUguySP5pIAUkiJSTEosibnCRzFsq73mivmCqZ65Em/mivnSLXWuKC1enytY1Sk/UErKSDmpIJWkijQjzUkL0pK0Ipm5ojwPopijWBs7eb3S7U9er+z7PMh+c4WPhYxBDskleSSfFJBCUkSKSYklMVf4WIhttddcueqdK8lmrphvo1PnitLi9XMwrOqUHyglZaScVJBKUkWakeakBWlJWpHMXFGeTVGsTV13XrSxk3Ol25+cK/s+m7LfXOEjKmO+4kxySR7JJwWkkBSRYlJiScwVPqJiW+01V8z3HfYcV+42c8V8TaM6V5QWrx9XsKpTfqCUlJFyUkEqSRVpRpqTFqQlaUUyc0Wp2yvmKNbGTs6Vbn9irpwftG7f9Cbr9iSH5JI8kk8KSCEpIsWkxFJ3rpDMs0t71+1N0765cr+ZK/c9c0Vp8epxhas6JaWkjJSTClJJqkgz0py0IC1JK9LNjWK3irWpE8cVpV2bO+V65fww73w33exMEr7zzVYuySP5pIAUkiJSTEosiUnCgr1tZWpa7dcGTbjglJSSMlJOKkglqSLNSHPSgrQkrUgmn0qtXDFHsXbExb5ctJP78sO8833OIjnJIbkkj+STAlJIikgxKbEk8skiOVtNSFNSSspIOakglaSKNCPNSQvSkrQimXwq9WnF2gGX+08u2w65tv88zDvf5yxMkxySS/JIPikghaSIFJMSSyKfLEyz1YQ0JaWkjJSTClJJqkgz0py0IC1JK5LJp1ITVqwdcJlP5Z1vsazcfx7mne9zFoNJDskleSSfFJBCUkSKSYklkU8Wg9lqQpqSUlJGykkFqSRVpBlpTlqQlqQVyeRTqcMq1g64zKfyzrdYVubzMO98n7MAS3JILskj+aSAFJIiUkxKLIl8sgDLVhPSlJSSMlJOKkglqSLNSHPSgrQkrUgmn0rtU7F2wGU+uWw75Nrx/TDvfJ+z6ElySC7JI/mkgBSSIlJMSiyJfLLoyVYT0pSUkjJSTipIJakizUhz0oK0JK1IJp9KvVGxdsBlPpV3vsWycv95mHe+z1loJDkkl+SRfFJACkkRKSYllkQ+WWhkqwlpSkpJGSknFaSSVJFmpDlpQVqSViSTT6XGp1g74DKfyjvfYlmZz8O8833O4h7JIbkkj+STAlJIikgxKbEk8sniHltNSFNSSspIOakglaSKNCPNSQvSkrQimXwqdTXF2gGX+VTe+RbLynwe5p3v+g8v73ynNckhuSSP5JMCUkiKSDEpsSTyyYIaW01IU1JKykg5qSCVpIo0I81JC9KStCKZfCq1LMXaAZf5VN5BFcuKfF4c5juDm27k/XmSQ3JJHsknBaSQFJFiUmKpm0/SPWlCmpJSUkbKSQWpJFWkGWlOWpCWpBXp5kaxW8XaARf5VNq1Q65cH10cpn7UdLOTT9aP2MoleSSfFJBCUkSKSYklkU/Wj9hqQpqSUlJGykkFqSRVpBlpTlqQlqQVyeRTqR8p5ijWjng3s+2Qa/k8TP3ogvUjkkNySR7JJwWkkBSRYlJiSeST9SO2mpCmpJSUkXJSQSpJFWlGmpMWpCVpRTL5VOpHirUDLvefSv1ILCuP74epH12wfkRySC7JI/mkgBSSIlJMSiyJfLJ+xFYT0pSUkjJSTipIJakizUhz0oK0JK1IJp9K/UixdsBlPpX6kVhW5vMw9aML1o9IDskleSSfFJBCUkSKSYklkU/Wj9hqQpqSUlJGykkFqSRVpBlpTlqQlqQVyeRTqR8p1g64zKdSPxLLynwepn50wfoRySG5JI/kkwJSSIpIMSmxJPLJ+hFbTUhTUkrKSDmpIJWkijQjzUkL0pK0Ipl8KvUjxdoBl/lU6kdiWZnPw9SPLlg/Ijkkl+SRfFJACkkRKSYllkQ+WT9iqwlpSkpJGSknFaSSVJFmpDlpQVqSViSTT6V+pFg74DKfSv1ILCvzeZj60QXrRySH5JI8kk8KSCEpIsWkxJLIJ+tHbDUhTUkpKSPlpIJUkirSjDQnLUhL0opk8qnUjxRrB1zmU6kfiWVlPg9TP7pg/YjkkFySR/JJASkkRaSYlFgS+WT9iK0mpCkpJWWknFSQSlJFmpHmpAVpSVqRTD6V+pFi7YDLfCr1I7GszOdh6kcXrB+RHJJL8kg+KSCFpIgUkxJLIp+sH7HVhDQlpaSMlJMKUkmqSDPSnLQgLUkrksmnUj9SrB1wmU+lfiSWFfm8PEz9qOlG3p8nOSSX5JF8UkAKSREpJiWWuvkk3ZMmpCkpJWWknFSQSlJFmpHmpAVpSVqRbm4Uu1WsHXCRT6VdO+TrdjKfh6kfXfILQ0kOySV5JJ8UkEJSRIpJiSWRT9aP2GpCmpJSUkbKSQWpJFWkGWlOWpCWpBXJ5FOpHynWDrjMJ5dth1zL52HqR5esH5EckkvySD4pIIWkiBSTEksin6wfsdWENCWlpIyUkwpSSapIM9KctCAtSSuSyadSP1KsHXCZT6V+JJaV+8/D1I8uWT8iOSSX5JF8UkAKSREpJiWWRD5ZP2KrCWlKSkkZKScVpJJUkWakOWlBWpJWJJNPpX6kWDvgMp9K/UgsK/N5mPrRJetHJIfkkjySTwpIISkixaTEksgn60dsNSFNSSkpI+WkglSSKtKMNCctSEvSimTyqdSPFGsHXOZTqR+JZWU+D1M/umT9iOSQXJJH8kkBKSRFpJiUWBL5ZP2IrSakKSklZaScVJBKUkWakeakBWlJWpFMPpX6kWLtgMt8KvUjsazM52HqR5esH5EckkvySD4pIIWkiBSTEksin6wfsdWENCWlpIyUkwpSSapIM9KctCAtSSuSyadSP1KsHXCZT6V+JJaV+TxM/eiS9SOSQ3JJHsknBaSQFJFiUmJJ5JP1I7aakKaklJSRclJBKkkVaUaakxakJWlFMvlU6keKtQMu86nUj8SyMp+HqR+ZNdh9v4PkkFySR/JJASkkRaSYlFgS+WT9iK0mpCkpJWWknFSQSlJFmpHmpAVpSVqRTD6V+pFi7YCbH7VfCXTTjnjX2iFfm8znYepHl6wfkRySS/JIPikghaSIFJMSS51Ndke6J01IU1JKykg5qSCVpIo0I81JC9KStCKZfCr1I8XaAZf5VOpHYlmRz6vD1I+abmT9iOSQXJJH8kkBKSRFpJiUWOrmk3RPmpCmpJSUkXJSQSpJFWlGmpMWpCVpRbq5UexWsXbART6Vdu2QK/vPq2396PQHc+dU+ROMZ+avEfy4/jvmTes2hjLn2/v8+/TTvZ0v+9nej92nn+5tV9nP9r7ZPv10b4/Jfrb3N/bpp3sbQ/azvQ7dp5/u5absZ3u9sE8/3csC2c/2vG6ffrqnb7Kf7fF3n366h1nRz/V2P7lHP01rNYfXg/LctNb7GZTn6948Xw/Kc9NaX59Beb7uzfP1oDw3rfX1GZTn6948Xw/Kc9NaX59Beb7uzfP1oDw3rdX1GZ0MCvS6eU9PgyI9OumW8sUcG50MCvW6ec86DYr16KR3P22+6Hbzh0/3mPjr5j3rNCjao5PeffXoZFC418171mlQvEcnvfvr0cmggK+b96zToIiPTnr32aPRsIw3zfV1Gg3LeNO8p6dhGR/17rlHo2EZb5r3rNOwjI96996j0bCMN8171mlYxke9e/DRaFjGm+Y96zQs46PevfhoNCzjTXN9nU6HZbxp3tPTsIyf9u/HT4dlvGnes07DMn7avx8/HZbxpnnPOg3L+Gn/fvx0WMab5j3rNCzjp/378dNhGW+a96zTsIyf9u/Hz4ZlvGmur9PZsIw3zXt6Gpbxs/79+NmwjDfNe9ZpWMbP+vfj5pq6/XPv+5z1NM171mlYxs/69+NnwzLeNO9Zp2EZP+vfj58Ny3jTXF+n8bCMN817ehqWcfv3zs2BwdzjlufjzZ93/vXhc/3NV39+82Vk/xq02tOwjNu/lav2NCzj9q+Gqj0Ny7j9m4pqT8Mybv/inNrTsIzbv9Gl9jQs4/avGqk9Dcu4/fsuWk/Nn67YP0/2L12oPQ3LuP37A2pPw/bj9lvm1Z6GZdx+p7fa07CM229fVnsalnH7HbtqT8Mybr/RVO1pWMbtd0+qPQ3LuP2WQLWnYRm33+em9dR8vdb+GbffxqX2NCzj9ruU1J6GZdx+m43a07CM2+8dUXsalnH7DRFqT8Mybt/lV3salnH71rXa07CM2/dj1Z6GZdy+yaj2NCzj9p0zrafmFaD9M27fGFJ7GpZx+w6I2tOwjNsn7tWehmXcPhut9jQs4/YpVrWnYRm3zxuqPQ3LuH0yTO1pWMbtMzxqT8Mybp/UUHsalnFbF9d6asqU+2fcVjXVnoZlXKlhfv/88fHxxX14eXj3PwAAAP//AAAA///kWG2P2jgQ/iuRVVWttOnGeU9KkBISJO5oly7Vfa1cCBA1xNQx3d079b93HF69WCy3YjmpxwdIxsEzz4znmcm05jmb5p28LGttRJcVjxB2Ubu1FWssn0QoweEfGF0fyGMr7FsquR32bYU888K+p5IHYT9Qyf2w76vkphP2TUe1gkEFVurAGFZUKDJswoqp3A30YKUeE6CbKuyZCXpMtR6Ag5V4sAsrrtKCIPwTN7653sWq3RrRalzwglak7FI2J5wX1VSrvzfhin0I4WhyuyxzjT8s8gjl9wuW1zU8j7Tx/aQ3jpBlIG3BCsoK/gB3NvxlAjstS9KOP6ZvEu91yd+/nvL3KKWj5TyvOHrbut480rpe7d+GC5UpT1iYnGKhGUgWWhe18JMdfhKZILlxREvKhiNS5vuWBYZ4brsk/vODrh0/LyoR1T3JImcjcGYh9vhBygg5xqMn5uS+kYgdNTb9GqFut+u7gZscirtZ4jeZ1ujfPO1aSeY1T0N0NiaLUDVn4pkxu7XD21M9Yv4vPDK0w+GpHhH59fufkfSkvPb3sweo8pLMkzUl5Wl6ND3JSJHil6PHgR0OXG3ghwPccMs+las5CDdu/P0PWAJ1+oTgufvBwweVA5uisFnGFWwnypwDV16EbtiUVEVNRF1VF7uniir0JHtFFR8U1ZW6SOhb2dBcnke1Lal2Hh/YlT7buLq5heIeoXg8Fi0BapAPZrTKV5fZnBQlequs9U/CtyQbBDdKSbOGD0Zs4FvOi9pjSvZ4anv8rQ2DnNUQ+sYlu67nea7AkmrBiwpXYGPnipcxQ+ryoJE8NAMyIRJ2rM/Fv/DB81q/xgi5rYL3j1697Uzhgf0kAkdSaJoIpwwa2e9LUu6BQDeTCVK1pUcVSAUIGOWogkq5/zOxH9TH0SPsUtkBR5wbusyMcDqOKTgrdJF9R6MicSf44dzQJYKEI3Ax5Ic94qOgS7QJbjg3cokG4QRcDLmoQkdjLrEkuOHcyCX6gwNwKeQwGjiOXOa4swOXW+xz4h4TTv4iZQG/0CZtx0Yi0vLS+g24LGqONFKW9C4pSfUNJkxIq2f0rlctlvwDtCBkChOKtTBjjDJJuBppJMAH9yxcFjC5+MdYf3T4NcWXoRuW+BIfe7X4c1ckcDurWDGaiRnGFzEP2dYLDK/CstEvCwKisgVherHrpmmqO6nn6rZlxXrgmF3ds1zXs7LU8HxXArFpSL58Bgj1f4ZBlMstiMywOl0cZLqRWYZux26gJ51OovtOChOLxHMNQwbR+5j2brPO5zevklferrG6dCCwEyY40BJI0x0YHBixgZ1UNwM7ADAO1uMkwzp2rDR23CT2LUeKCLqprjSpAbk0Dnjr29kf4E7geT7WfRykuu3jrh5bsas72HdtHKdWagey/Wk+IcuSX2mdZc3pfNfoqHA8ypS63VpA5n4gbFoADZT5BIbHxjvIU1ZMZ5trTheNFIraV8pBx+ZulpNxDg2d8Q5CMKGUb25gWib2HeZ8udAWBDq/YfE3EITohVgBKdzwToQWlHFGCuAWFgpWYL1xM3Qt8ykZPaSM3ImJ6HatGe9e31H2rZ7lOW//AgAA//8DAFBLAwQUAAYACAAAACEA5jqQY3kSAAAReQAAGAAAAHhsL3dvcmtzaGVldHMvc2hlZXQ1LnhtbJyTXW/aMBSG7yftP1i+J4mTACECqqkdWrVdTPu+dR2HWI3jzDYFNu2/7zifTO0qaAS2CTnPOec9b5ZXB1miB66NUNUKEy/AiFdMZaLarvDXL5tJgpGxtMpoqSq+wkdu8NX69avlXul7U3BuERAqs8KFtXXq+4YVXFLjqZpX8E+utKQWfuqtb2rNadYEydIPg2DmSyoq3BJSfQ5D5blg/EaxneSVbSGal9RC/aYQtelpkp2Dk1Tf7+oJU7IGxJ0ohT02UIwkS2+3ldL0roS+DySmDB00fEL4Rn2a5v6jTFIwrYzKrQdkv635cfsLf+FTNpAe938WhsS+5g/CDXBEhS8riUwHVjjCohfCZgPMyaXTnchW+HfQXRPYiVuCSRC75eT6g9fLTMCEXVdI83yF35D0x+aaTBPsr5eNh74JvjcnZ2RV/YHn9pqXJTwfEYx+KSU/M+oGmEwxcp69U+reRd5CLQGkMbzkzLkHUdgeeBu9iebg+59N5rfRPH0fNXn9IfF6OZ77IjaN1z9qlPGc7kp7rcrvIrOFS9Tf+6T277jYFhZetqkHNTUGSrPjDTcMHA3PetHU9chUCWBYkRTu1QRH0kOz71soSbx4FiyiOVCMPbomQ0jEdsYq2SUmHallwEwbBuwDY4yFDM/Ewgib2HiMPTct1NeWDtV1eRdeMI9DkpxfOxkEgENHiUGrIJ5dQuklINBPrwHxkvgCFQlI0PYzajG9EDFI4lw5eORkioXIMt6O/ZmhkFk/0VGU/0h7HjDs9YlGj8DULi4s6u1CZlEySv1UbVD5WFvr+87xEDpI3Z47qcIn3PMP5gkj+8379BcAAP//AAAA//+8nduS27gRhl9lSg9giwcduGW7ypJI4qRJxp7sJpeuiSveSu065XE2ydsHFBskGj9GoogZ+8auT02A7G4cfgCk3zx++fz5++HT90/v3nz7+p+bb28X2eLm8V+ffn+0//opXy1uvny3/9oubh7+/fj962/i86//OJHFzX+z8tPDT3//3+Hz48Pn363V8lWxWrx789CV8r4r5u1iVS5eE9n1JFstFzfW+NFa/vFu+eb1H+/evH4gm/1o4y47IKoRNYhaRAKRRKQQaXgaA+QI5NYnr617Bx/nER+X1tfnXdpdxV1KxEZn8Oh2Fbh0sBk8CqQG0gBpiWyGgAoi64FIIAruWQMxQI5EVkPJt2Bz15MuQ4dnz/mjf4iYFNzkY8Sk5Cb3EZPRxyysRRDW8+HsrG04i7GFANkDOQCpgTRAWiACiASigGggBsgRyC2RfHjSPwH5M5A7IB+AfARyD+QvQH4G8guQvwL5m09Y2MtIay7Wr9Y2Na/sNLuS3i4qvz1nyy3Px91g5Br0HsgBSA2kAdICEUAkEAVEAzFAjkDuepKvTwPDOhgZPrBf8+DXj2d/vX/qVxZFGy0c99avior9uTqkXbFvF7k3DgLZAzkAqYE0QFogAogEooBoIAbIEcgdEYpfMAx9YL/mwa8fz/56/9SvLH7rIH6d1+1Uo2+Bzddvv33qJjIXxti6K8V2ytnQVd31hNKyCtNy+NU1xo9A7n3Cbnkz8Za7CVdRRVLv+5dfH/65+/rkg9k5hZuPdXW9XZS8a6mCrqU3qvwZWhYMqjXZ2NsZxt0sC9zSDEbOLS0QAUQCUUA0ENMTNq3Msow/2TFqFDzaXW9Eoc7CTubD8PMQayD3PmGxto5n3ctT6dnFupvUwMhxMdZDqLuqbKhtIV6EgonPrjfK7KA2Gi0Dhxx6o2IcuOueVOOcryEyzgtbIAKIBKKAaCCGnsz2596TBfO1IxmdbpGFwKbsjwpBVxWEIOj0dr0RC0G14Xl76G38CNBVZTV0UQ2iFpFAJBEpRBqRoecrT2N1sSmy4NmOZGC7Pi9S6+HhWFwy29/8qMCc6oLIBF7fkdX50JCRHxtCfvNwyGsfiAQiiUgh0oiMe0QKzmq9DWaQR2cxLTrhgsAL9lxZr5iDriucAJPVhej0RbHokLD3m44ry2NthIkIkxGmIkxHmHFP2gcpr/I8HLGcxbQgdSLVX7V5ySD1gjgIUjiVyHqrC0HqjViQesSaECG/CQESVGE1WklECpFGZAiVLjrVKhg+j85iWnQ66fijotPLVB6dcCqz68LSrfD5wz+MPWTEokPXlaOXG1eWx9oIExEmI0xFmI4wQ4yCVC7L7Ti+nNYgj85iWpA6lfijgtQr0iBIQQ+wy3qrC0HqjViQSFt7kzQqymscLSKBSCJSiDQiQ8hFx86mwymCs5gWnU4D/qjo9HoziE4wN95lvdWF6PRGLDo9Yh0cIb+DAySoQtbBgZVCK43IEHLRyVclRIecMC06zyO+s14ps84FUItWApFEpBBpRMahsfUcGeJTVybhu3nsE6sOJwm/ftVpsumaPYuJ9jxUcmR1XrW7ovx+m0r3sw6QwAslIoVIIzIO+a6lGlGtdXtOY4u/4NpExXyqK1QFeSAsd2R1ocWjZqbrWItH1eysvA0WRBKRQqQRGfeIpAq2sK585Bblcr0OMu2OLNwCSREuho2/DyskiO4Z4q2JKfQXDnlMoofrkrtsikYnI9bJR1S6K4tJjYhOj9jJCFMRpiPMEBtG4lUFk1km58siW4+CmO9bMqX+sgHqFm9hDSUPpng7sjrfJsnID5C7zh9rIqyNMBFhMsJUhOkIM+5JqWnmm7DnOXKLMtt6E3oeICbWXzhAMbGeh0spOYnus0qDjFiAnFjfjutcriy/BUWYiDAZYSrCdIQZYtSCinW2DsU6tyizajtOF3mAmFB/4QDFhHoerqbkU4Q6GbEAoVAnK19lIBKIJCKFSCMyhFxkNnl4/OEYWFQrL3Y8Mkykv3BkoiI9XELJIyI9gzV6smKhiah0V5iv0iNMRJiMMBVhOsIMMRehrd919SqdW5TF5skIMYX+whGKKfRwwrOz27qXl1HIiAUIFTpZsbZDVv6RG0ASL1SINCJDyEWmWm6CBDxyi3JZLMeZA287TJ2/cGRi6rwI1046QXBxgYuMvOGkJuTP1R3ydBIigUgiUog0IuNufsk2uopgBeLombn59q17pNMGNo8R0+gvHCNS7WwLsgiFq9URE2JERY3bXbW7zl/Hj7A2wkSEyQhTEaYjzBAburcslOdHblFma88PPEBT1xLOHiurc9DwDaIWkUAkESlEGpFxyFP6DPEHv0bp24NV1y2i5LQfbP8atyKLUNuT1flFFFeUt4iCqEUkEElECpFGZBzyXfvklnd+laLuXHRpdWo4ZXAqOlwzKcI9brJi+iwyh+kFKBsie8Q6YkJ+RwxIUI3+MikihUgjMu4Z2SJoEW4zXLJiyV5cJaGvisipaIhIKMjI6kJEyMqPCCE/Ig55EUEkEElECpFGZNwz9lq5XGYwaQkssk02Kh4eiau08nWRiEnjIlReRUQaY9sgKxaJyEa2K8zXxhEmIkxGmIowHWGG2LALtw4PjB0Di6xaP3V8+iptfF1AYlK4CAWX9fHlCQkZsXigFCYrfzqPSCCSiBQijcgQGrZ01nk4nXcWk7Z0Cl8O01Zd9Dzl6cDadcGIqd8yWEzenW4g2KKOtI6+LBYNp369E1KuMNY60E5E7GSEqQjTEWaIDWuvBSztOYtpQfEV8DMHJSZ4y1BWFRHBGwkK7knThWzwAC3bOitP8SKSiBQijcgQKs8P55es+CDiK99zETk/abcvTp0Wu72ZJaIWkUAkESlEGpFxyJtZMsQf3JeTl1Ix2145aS9I9bFJexluwZOV3VZ0+rd2F/qOxC1ktBKIJCKFSCMyDvmOpJvAfc7Cl30X23TVOTLhbPCptnCOWIbKnKy24wMcCLGOtlea2/F4cOOKH8/Pt4gEIolIIdKIjEM0ISwLOEjnLKb1sL4WnRCN7iBFSjhIubGFEpiW9EYsGrjLXNCWsnfqxyF/eg4bzwKtJCKFSCMyhIbZ4HIT7jU6i2nR8OXr7N71fffuRLeVOGblDtEe0QFRjahB1CISiCQihUgjMg75Hcxw4tr2haynLn3FOd+Jp2K4ExHtER0Q1YgaRC0igUgiUog0IuPQ+GrW0SHspW3ujKdREpxIwtDLxFPJzK97RAdENaIGUYtIIJKIFCKNyBDK7FK1G4OPEXbLLuXp6au+BM+SwvM9C2hfAjogqhE1iFpEApFEpBBpRMYh37F09yfEnThVrZ1/JbkkZeY7EdAerQ6IakQNohaRQCQRKUQakXHIdyI9UMSJU9XVBSeSkvKdCGhvh8hgTDogqhE1iFpEApFEpBBpRMYh34l09xEnPosget8dvg2GbER7RAdENaIGUYtIIJKIFCKNyDjkO5GeMeLEqeLqQiaS6PAzEdC+k8Pc1QdENaIGUYtIIJKIFCLNEO/tpkqmC+6hnTLfPYD29sAEuAdQjVYNohaRQCQRKUSaIe6eqRrmgntIm/juAbTv3igOswdQjVYNohaRQCQRKUSaIe4eJir6Cdn1b4q/t0uJ0EMB2qPVAVGNqEHUIhKIJCKFSDPE3NO9SD2cu6aX0Ga451QMlwuI9ogOiGpEDaIWkUAkESlEmiHuHiYEZmeP/cJAmD2I9ogOiGpEDaIWkUAkESlEmiHuHjabv9o9VkPQZ6jsd3FS0tAriM3qUu6IzWxSCmKje0pBbBxMKYiNGCkFpfWtY9TWab2QV1Bae/UKeq7MXj9XZq+fK7O7LxVd97kUzy397PGKEcK7lr6WYWM98TMt3rX9JGNevf04PevazZmTc/H51HjPm4SWtem1/7x77iXvvGt7pTfv2oS82iTk1SYhrzYJebVJyKttQl5tE/LK7t7MbvvbhLzaJuTVNiGv7C7K/OdNyKttQl5tE/KqO9E4t2+vEvKqSsirKiGvqoS8qhLyyp5smO/nhLzqPhY4O74JeZUtExIrWyZklj1vMv+Rs2VCbnW7HLOdnS0TsitbJqRXtkzIL/uecMozp2QYfaZo1tTDfgEu4bbp6y4za07JsOs3wMbpZUZfdZh52ykZRm/2z6w5JcPo7eZ5NdN7tTMvTskwei1xZs0pGUYvdc2sOaUPozdhZtac0ofROxMza07pw+g0+rya6eT0zItTRkk6lTqz5pRRkk4czqw5pQ+jc2Iza07pw+g4z7ya6czKzItT+jA6oTCz5pQ+jHakZ9ac0ofRpuTMmlP6MNrQmllzSh9GmyHzaqatgpkXp/Rhpx2Eqz4C7U2l7H9cMX+mv0rJsFVKH7ZKybDVnD7s9fg/iPwfAAD//wAAAP//5Fddb9owFP0rkZ/XEjshQESQlgkkxtDUUu3dBQeihjh1TGk37b/3JHyEtC5DG+pDxwPU98Y395zre33aXQo1F19EkuTWVK5SHRDWIb3u3mwpEQWkz2x/xGzSeOX55lJ/7FKThzX9MWsaPH14Rm94PHg80x6H+iPH9J6+04anbXyPi2iu0dOBp2N8D5A6JqR9h8HDjHsceByjBxk4xgwoOKBmdhCNGaMxcMCMHDDkxky5hdT/atxBwQA1MgCHyf7ZRaFNGFv+qGWyoyzGqlDkSo08UuCj5mxRFWqsCgVb1MgWBffUzD1So2Vujer897pTmc5iHcuUJwOpllzrOJ1b+X3ZAmHbD2nTClnHD1FRPB1drxJh6adMBGSKDhrmxJo9RsNZQFrEylQsVayfAtJsEktmQnEtVUDE/Yon2B7hDauE98j3KCLdxm7ZbWziHo/v1eJjdSx+agzfMKL9EwkULKA/j2cHvBV61Obc6N1afKzeCz2mzHHkwFoh75wdOKsBt98N+JXrX7WsK7TMS/gykWoy5Yk4zMyzi+f2rmLPg9w2yjJOi1lxYEFnTEWq4yLGA0/QL2WfH+7hj+WeIqKl5rcBGQwGba/jha/Ng37YLnu+fP/uac8J+63yaRz7Xcq9qtf+qhmuXf+6eRojzdZ/wcjE9SenMlKepQ9/Rm5c/+ZURgrd9fG7JnTKXjhyedLalDv7EMXYrGY0Jur5Lo8Z1/wHT2L8QkRUghp1rbu2szCJc00sniRyHSY8vQsIoOcLuR6m2UqPRZ7zObTF1thXSqqacStMNnfyTplYG6FCrEflr2JokV/29nOBX1Z82Re2W3wdfH5XioRCkqSfrJosoZiVdQhvQFovZDHH/xkTJM1p+dMNiFr+nr3XU0h8q6xYjzqVnRkAvUCY97oZ+B9zNY9RzERE+OfIvoS0U/F8sftby6y0QvPcSq3lcrdaCD4T0Hv2JURBJKXeLXD7FXEnQq8yK+O4/ibxT5S5kAsqxk1Ynp6AZFJpxWOcEOUXdVTDWSmNZ4qvC126t5ZSurGW6i5fCKF7zwAAAP//AwBQSwMEFAAGAAgAAAAhAPRFrOBMBAAAdQ8AABgAAAB4bC93b3Jrc2hlZXRzL3NoZWV0Ni54bWyck9uK2zAQhu8LfQeh+1g+phsTZ+l2WbqlF6X0cK3I41hEslxJOVH67h05iTcQWsIaWyNbmu+fsWbm93utyBask6araBLFlEAnTC27VUW/f3ua3FHiPO9qrkwHFT2Ao/eLt2/mO2PXrgXwBAmdq2jrfV8y5kQLmrvI9NDhSmOs5h5f7Yq53gKvByetWBrHU6a57OiRUNpbGKZppIBHIzYaOn+EWFDcY/yulb0707S4Bae5XW/6iTC6R8RSKukPA5QSLcrnVWcsXyrMe5/kXJC9xTvFJzvLDN+vlLQU1jjT+AjJ7BjzdfozNmNcjKTr/G/CJDmzsJXhAF9Q6etCSoqRlb7AslfCpiMs/C5bbmRd0d/x6ZqgTcIQT+IiDBfXH7qY1xJPOGRFLDQVfZ+Un5KCssV8KKAfEnbuYk686T9D4z+AUhV9SCgJBbo0Zh12PqNwjEwHCkQoFcLRbOG0O8ca/zWoPORBgY0Sl/Oz3NNQ0l8sqaHhG+W/mt1HkKvWY/8UUYGphlop68MjOIFFitJRNkQujEIIjkRL7DZsLc33g93J2rcVLbKoyIqkmKaIERvnjf55XElCXKPn7OSJ9uSZzqJ8Gs+yd/93TLC/B80wObtOo7v8H45sCPkvAAAA//8AAAD//5RW7W6DMAx8lYoHGJiPUiaKtIwC4S2qDmm/uqlU3fb2S8hEYsdIy7/t7OK7sxOnnt+n6d6e7+emvn187W7HCKLd/Hm+zuqvZ0ii3Tfk58vz2087zZfpej9GyVNWRE190ckvKltBs/r/0aR1/Gjq+PIXE7Cg+wTDrwbOCNzy8ImHOx7u+ZKD1nSMSqVmJQs5piVdJZCT6OhGK1h/GivTVufSIOdU9komI86lxrmCOGfgjMAtD594uOPhni85aE2ec4SAdKVAvsesRyTUKkXWZUHWqWynjyUxL1vMK+nYGTinY8fDJx7ueLjnSw5alWfegcwdFlMR81C0sOSRe3mQeyp7dY+MuciNd6TBnYFzAvd89qDpUNmFPTPLxSFdFlCQq2PE0Y2hKYJkq2w7NAUVrm+0R3Mg09EZ2PF9Id/z2YMm5PWbdFRiHsTS0Y1mliRq9z5It8p2dJPDKfZGN+0sDw+6stdZcv4kLkjGfcRRaw5SWIYoFOWioSK963lYqm9bP+hyGnF046I/BNE7GHrUYh6W6tsOPXoucHTjXFRB9KqFHiTUvg1cqq87BDdGVD8c/v+KECpdHz9IqElbAakLODvA/g7NEQQ9ZoRKX2gA9YIJ4DpBq1+AWbYAnlw/gOsE7UkBZi9B6unxA7hO0EYRYBYBpJ4eP4DrBF3hAsy9C/Tt2DMBUye279tfAAAA//8AAAD//7IpSExP9U0sSs/MK1bISU0rsVUy0DNXUijKTM+AsUvyC8CipkoKSfklJfm5MF5GamJKahGIZ6ykkJafXwLj6NvZ6JfnF2UXZ6SmltgBAAAA//8DAFBLAwQUAAYACAAAACEA5WwhWaFWAADhjQMAGAAAAHhsL3dvcmtzaGVldHMvc2hlZXQ3LnhtbJyT246bMBCG7yv1HZDvweZMUMiqTZp279qqh2vHmGAFY2o7J1X77h0IZFeKtI1WAmaw9X8zY8/MH06ycQ5cG6HaAvkeQQ5vmSpFuy3Qzx9rN0OOsbQtaaNaXqAzN+hh8f7d/Kj0ztScWwcIrSlQbW2XY2xYzSU1nup4CzuV0pJa+NVbbDrNaTmIZIMDQhIsqWjRhZDrexiqqgTjK8X2krf2AtG8oRbyN7XozEST7B6cpHq371ymZAeIjWiEPQ9Q5EiWP25bpemmgbpPfkSZc9LwBPCGU5hh/SaSFEwroyrrARlfcr4tf4ZnmLIr6bb+uzB+hDU/iP4Cn1HB21Ly4ysreIaFb4QlV1h/XDrfi7JAf9MsC2LyMXHTcEbcaLXM3Mz3M3cVB+kyXSdLkn56Qot5KeCG+6oczasCffDzbz4hBOHFfGihX4IfzQvf6Ttyo9Su33iESAQghjec9b3hUDAHvuRNU6DPUJz5M2DBBSC+El/6E3099PBX7ZS8ovvGflfHL1xsawsDE3sx1NY3R16eV9ww6EoI7YVxz2WqAQh8HSn68YKuoqfBHkVpa/BCL4vCFBhsb6ySv8flUXyRQbaDDOwoC2IvmfkRSYLXlcmoBDsFjLyQREn2n5DpKITpn4TZHZn6k653JmHwWkQ8HNE/AAAA//8AAAD//7Sdb69e93Fdv4pCGIEECDXP3+deRjYgR7KjJLQSG+l7wVYcA4lcWGrafvvuGcUS78xvNvdG0TdC0zObPIsPRa1ckiuffPtvX3/93WdffffVzz/585/+1wd//tmr7dUH3/6Pr775Fv+vN9vj1Qf/ezu/+t2b3/+fz77+9ndff/Pdz169/m/H9ernn/wujj/FNf6/vsX//J8/3+7rk5/+588/+env/uvpL959uj+9fPi3Lx4+v3z42bsPj9cvH37+4uH28uEvXzzcXz781YuHx8uHf/fi4fny4RcvHr589vcvnpUfg39492H5Rv/x3Wdl9/blj+z98rv89cunj5dPv3z5tPzA//PLpz/+yP8UPwN++GmwWz8NcP3jT4NH+bx+Ed/Wz14dJ36W/OvPv/jlh7/9+rvv/vjNH779q5/84iePn736p6///O2fvnn18eP1x/3hl3/+w1ff/PHbr777Y5yc18evP/rok5/+a/x8q9/P34rfzxHfyH99G0f5Yf9M/Db2H7+J8nPsc/FbeP7xWyg/+X/5//wt/Er8FranH19iKz9N/u6dbwP/bpfP9Av1e7gXn+mnv//9n7/+9ttXHx+v3/k4t/Jz/O///38X/6B+2k8Lis//46s//jsY4oP8y0+n+ovcP6rfwb74Dv7p3/70zdf4Dh7vfgflZ9tb8TtY/av12Z9+9z//A7+kv/p42979IMpH/es9/7397b+8/fAX+5u3+w+s9d+dL+u7fPrrzz6M/7b81af7X//7d3/z13/47m++/x+3jz/AN/fFL3/7IX4F2N/85O1P9o8/yEf5PXz8wau/3L/6KFavPzIGH3/ww7/dheSfv3/Bx/e/EL39zZf/ghd8+8WvPwz+D7745ee/+c2Xv/nw0//++W8+/dXn+KXoy/3Nl9vr13j2w/u8fvVR/Gh99NHH119+HPA//vDL74tfQg/nl9Av4/rdXyR//ME7Xv7g4Ydq+sE73rw9rB+8NnjnB2+7fvwP5Auu0+KK6zXX+ZILbz5xnW/enhZXGyx/UryguiyquF5TXS+p8N4T1fXm7WVRtcG7n9bjRxF6wXVbXHG95rpfcuHNJ677zdvb4mqD939aEFPdUr+M6zXV4yUV3nuierx5+7Co2uD9VE8WVVyvqZ5eUuG9J6qnN2+fLKo2eD/Vs0UV12uq55dUeO+J6vnN22eLqg3eT7W9trDyfM21vX4JhlefwLbXb97Gf6uM/z4uJgIc/ncE49+vLc4HuK38px9vP9JtoIMbOHR9ItBZ/8vNl9vsNVsVG2I2G+Rpw3+8Hbo+Eeg879hm8diKecTbj58dVGLz5GPrE4HOs49t1o+t+Ee8/UgHodg8Bdn6RKDzLGSbNWQrHhJvP9JBLDZPRbY+Eeg8F9lmGdmKjcTbj3TQi80Tkq1PBLp3nOR6Ex8N/dLZl/HFtekXzaIl8fojHjxj88xk6xMB7x05kfBmPdmKn8Trj3gQDnyZwvpVs08EvHcsRcKbPWUrohKvP+LBPDbPVbY+eT/e/o6tKHh5v/4v+l50JV5/wtvhK7vnK4uJgPeOr0h4s7DsRVji9Uc82MfuCcveJwLeO8Ii4ZGvxBRjidcf8eLLPZ6x7H0i4L1jLBLerCx7/WIJUZYd/rF7yrKYCHjvKIuENzvLXpwlXn/89CAgu+cse58IeO84i4Q3S8tepCVef8SDgeyetOx9IuC9Iy0S3mwte7GWeP0RDwqye9ay94mAZ1rLPlvLXqwlXn/Eg4LsnrXsfSLgmdayz9ayF2uJ1x/xoCC7Zy17nwh4prXss7XsxVri9Uc8KMjuWcveJ+/HO0xryfvhi+jFWuL1J7wD1oLfmnKcczER8ExrOWZrOYq1xOuPeFCQw7OWo08EPNNajtlajmIt8fojHhTk8Kzl6BMBz7SWg/wOT7GWeP0RL37Pxvxdnj4R8ExrwW/vj7+BVX+nh1jLAQU5PGtZTAQ801rwZ15GvGIt8frjpwcFwZ8/sH5p6RMBz7SWY7aWo1hLvP6IBwU5PGs5+kTAM63lmK3lKNYSrz/iQUHw2/HWp9cnAp5pLcdsLUexlnj9EQ8KcnjWcvSJgGdayzFby1GsJV5/xIOC4E9rWJ9en7wf7zStJe+H3yIv1hKvP+GdsJbTs5bFRMAzreWcreUs1hKvP+JBQU7PWs4+EfBMazlnazmLtcTrj3hQkNOzlrNPBDzTWs7ZWs5iLfH6Ix4U5PSs5ewTAc+0lpP88ZRiLfH6I178gRPzj6j0iYBnWss5W8tZ/6AKsZYTCoI/eun8yrmYCHimtZyztZzFWuL1x08PCnJ61nL2iYBnWss5W8tZrCVef8SDgpyetZx9IuCZ1nLO1nIWa4nXH/GgIKdnLWefCHimtZyztZzFWuL1RzwoyOlZy9kn78e7TGvJ++GPwBVridef8C5Yy+VZy2Ii4JnWcs3WchVridcf8aAgl2ctV58IeKa1XLO1XMVa4vVHPCjI5VnL1ScCnmkt12wtV7GWeP0RDwpyedZy9YmAZ1rLNVvLVawlXn/Eg4JcnrVcfSLgmdZykT9dW6wlXn/Eiz8va/4J2z4R8ExruWZrueqfsiXWckFBLs9aFhMBz7SWa7aWq1hLvP746UFBLs9arj4R8ExruWZruYq1xOuPeFCQy7OWq08EPNNartlarmIt8fojHhTk8qzl6pP3492mteT98Afci7XE6094N6zl9qxlMRHwTGu5Z2u5i7XE6494UJDbs5a7TwQ801ru2VruYi3x+iMeFOT2rOXuEwHPtJZ7tpa7WEu8/ogHBbk9a7n7RMAzreWereUu1hKvP+JBQW7PWu4+EfBMa7lna7mLtcTrj3hQkNuzlrtPBDzTWm7yV4OKtcTrj3jxl33Mvx7UJwKeaS33bC13/UtCxFpuKMjtWctiIuCZ1nLP1nIXa4nXHz89KMjtWcvdJwKeaS33bC13sZZ4/REPCnJ71nL3yfvxHqa15P3wF9iKtcTrT3gPWAv+kr3zZdzFRMAzreUxW8ujWEu8/ogHBXl41vLoEwHPtJbHbC2PYi3x+iMeFOThWcujTwQ801oes7U8irXE6494UJCHZy2PPhHwTGvB3xYf//JosZZ4/REPCvLwrOXRJwKeaS2P2VoexVri9Uc8KMjDs5ZHnwh4prU8Zmt5FGuJ1x/xoCAPz1oefSLgmdbyIH+zuVhLvP6IF39X2fzbzX0i4JnW8pit5VH/jjOxlgcU5OFZy2Ii4JnW8pit5VGsJV5//PSgIA/PWh598n68J9Na8n74C+rFWuL1J7wnWMuTZy2LiYBnWsvTbC1PxVri9Uc8KMiTZy1PfSLgmdbyNFvLU7GWeP0RDwry5FnLU58IeKa1PM3W8lSsJV5/xIOCPHnW8tQnAp5pLU+ztTwVa4nXH/GgIE+etTz1iYBnWsvTbC1PxVri9Uc8KMiTZy1PfSLgmdbyNFvLU7GWeP0RDwry5FnLU58IeKa1PM3W8lSsJV5/xIOCPHnW8tQnAp5pLU8kzFKsJV5/xIvUihln6RMBz7SWp9lanmqihVjLExTkybOWxeT9eM+mteT9EKAp1hKvP316z7CWZ89aFhMBz7SW59lanou1xOuPeFCQZ89anvtEwDOt5Xm2ludiLfH6Ix4U5Nmzluc+EfBMa3mereW5WEu8/ogHBXn2rOW5TwQ801qeZ2t5LtYSrz/iQUGePWt57hMBz7SW59lanou1xOuPeFCQZ89anvtEwDOt5Xm2ludiLfH6Ix4U5Nmzluc+EfBMa3mereW5WEu8/ogHBXn2rOW5TwQ801qeZ2t5LtYSrz/iQUGePWt57hMBz7SW59lanou1xOuPeFGK86zluU/ej4fs6I8FNqlHk4MpMFcLc0Rc8D1HY85Tl+VIoTTtZXs96wue1dQcERhcB6anMMuRgmlazPZ61hg8q5hEZHAdmJ7KLEcKpmkz2+tZZ/CsYhKhwXVgekqzHCmYptVsr2etwbOKScQG14Hpqc1ypGCadrO9nvUGzyomERxcB6anOMuRgmlazvZ61hw8q5hEdHAdmJ7qLEcKpmk72+tZd/CsYhLhwXVgesqzHCmYpvVsr2ftwbOKScQH14Hpqc9ypGCa9rO9nvUHzyomESBcB6anQMuRgPluY1eSIFbZrZndhJg8D1F3YLqp3dVIwXQtiPZ2qwUFxIwZFmQ3dxcjBdO1IBbe7eVdZkHZ3nXju6uRgulaECvwtgQvbfBmUdet8K5GCqZrQSzF21q8NMabaV03x7saKZiuBbEmb4vy0ipvNnbdLu9qpGC6FsTivK3OS/O8Gdt1A72rkYLpWhCL9G7VgmimN6O7bqh3NVIwXQvaiAW1Wi/N9W5hQW6wdzVSMF0L2ogFtWovzfZmhNcN965GAqbb7t1IvBfPiuyxfC+u8WmaAd/lSMF0LWgnXwuqFd+EGC0oorybGfLFfR8pmK4F7eRrQXv9WhDL+W4R58U/zP8TBIuRgula0E6+FlSrvgkxf5rxtSAz7Iv7PlIwXQvaydeCat03IWbM+FqQGfjFfR8pmK4F7eRrQbXymxAzZnwtyAz94r6PFEzXgnbytaBa+02IGTO+FmQGf3HfRwqma0Ek+rvV6m9CzJjxtSAz/Iv7PlIwXQsi8d+t1n8TYsYMCzIDwLjvIwXTtSASAd5qBTghZsz4WpAZAsZ9HwmYbgt4IzFgPCsWxHLAuMYbm0Hg5UjBdC2IRIG3WgVOiPHTjMgvJp4erEYKpmtBJA681TpwQsyYITRmIBj3faRguhZEIsHbUX9HjGWCcR1vbP6O2GqkYLoWRGLB29H+7zKx3xGL+C8m5k/axUjBdC2IRIO3o/6OGMsG4zowzd8RW40UTNeCSDx4q/XghJj/3QyhMQPCuO8jBdO1IBIR3mpFOCFmzBAaMySM+z5SMF0LIjHhrdaEE2LGDKExg8K47yMF07UgEhXealU4IWbMEBozLIz7PhIw3bbwRuLCeFYsiOWFcY03NgPDy5GC6VoQiQxvtTKcEOOnGdFgTLz/oKxGCqZrQSQ2vNXacELMmCE0ZnAY932kYLoWRKLDW60OJ8SMGRZkhodx30cKpmtBJD68ndWCWH4Y1/HGpgWtRgqma0EkQrzVCnFCzJ9mWJAZIsZ9HymYrgWRGPFWa8QJMWOG0JhBYtz3kYLpWhCJEm+1SpwQM2YIjRkmxn0fKZiuBZE48VbrxAkxY4bQmIFi3PeRgulaEIkUb7VSnBAzZgiNGSrGfR8JmG6reCOxYjwrFsRyxbjGG5vB4uVIwXQtiESLt1otTojx04wIMSaeBa1GCqZrQSRevNV6cULMmCE0ZsAY932kYLoWRCLGW60YJ8SMGUJjhoxx30cKpmtBJGa81ZpxQsyYYUFm0Bj3faRguhZEosbbVb8WxLLGuI43Nr8WtBopmK4FkbjxVuvGCTF/miE0ZuAY932kYLoWRCLHW60cJ8SMGUJjho5x30cKpmtBJHa81dpxQsyYITRm8Bj3faRguhZEosdbrR4nxIwZQmOGj3HfRwKm2z7eSPwYz4oFsfwxrvHGZgB5OVIwXQsiEeStVpATYvw0I2qMiWdBq5GC6VoQiSFvtYacEDNmCI0ZRMZ9HymYrgWRKPJWq8gJMWOG0JhhZNz3kYLpWhCJI2+1jpwQM2YIjRlIxn0fKZiuBZFI8lYryQkxY4YFmaFk3PeRgulaEIklb3f9O2Isl4zreGPz74itRgqma0EkmrzVanJCzJ9mCI0ZTsZ9HymYrgWRePJW68kJMWOG0JgBZdz3kYLpWhCJKG+1opwQM2YIjRlSxn0fCZhuS3kjMWU8KxbEcsq4xhubQeXlSMF0LYhElbdaVU6I8dOMSDImngWtRgqma0EkrrzVunJCzJghNGZgGfd9pGC6FkQiy1utLCfEjBlCY4aWcd9HCqZrQSS2vD3q74ix3DKu443N3xFbjRRM14JIdHmr1eWEmD/NEBozvIz7PlIwXQsi8eWt1pcTYsYMCzIDzLjvIwXTtSASYd4e9e+IsQwzruONzb8pvxopmK4FkRjzVmvMCTF/miE0ZpAZ932kYLoWRKLMW60yJ8SMGUJjhplx30cCpttm3kicGc+KBbE8M67xxmageTlSMF0LIpHmrVaaE2L8NCO6jIlnQauRgulaEIk1b7XWnBAzZgiNGWzGfR8pmK4FkWjzVqvNCTFjhtCY4Wbc95GC6VoQiTdvtd6cEDNmWJAZcMZ9HymYrgWRiPNWK84JMWOG0JghZ9z3kYLpWhCJOW+15pwQM2YIjRl0xn0fKZiuBZGo81arzgkxY4YFmWFn3PeRgulaEIk7b0+1F8TyzriONzZ7QauRgulaEIk8b7XynBDzpxlCY4aecd9HAqbbet5I7BnPigWx3DOu8cZm8Hk5UjBdCyLR561WnxNi/DQj4oyJZ0GrkYLpWhCJP2+1/pwQM2YIjRmAxn0fKZiuBZEI9FYr0AkxY4bQmCFo3PeRgulaEIlBb7UGnRAzZgiNGYTGfR8pmK4FkSj0VqvQCTFjhtCYYWjc95GC6VoQiUNvtQ6dEDNmCI0ZiMZ9HymYrgWRSPRWK9EJMWOG0JihaNz3kYLpWhCJRW+1Fp0QM2ZYkBmMxn0fKZiuBZFo9Far0QkxY4bQmOFo3PfR+zF3Nx39/WCdjsazYkEBMWHi+s1b/MPSg+VIwTQtaCftaDx7iZkQMyYsCBMTczFSME0L2kk7Gs8qJqkm4jowvV7QcqRgmha0k3Y0nlVM0o7GdWB6f1N+OVIwTQvaSTsazyom+ZvyuA5M73fEliMF07SgnbSj8axiknY0rgPT+9PRy5GCaVrQTtrReFYxSTsa14Hp/bmg5UjBNC1oJ+1oPKuYpB2N68D0fkdsOVIwTQvaSTsazyomaUfjOjC9rwUtRwqmaUE7aUfjWcUk7WhcB6bXjl6OBEy3Hb2TdjSeVUxmQZGBxsTTg9VIwXQtiLSj961aEGtH4zowTQtajRRM14JIO3qv7eiEGGUvMtCYmJ/mYqRguhZE2tF7bUcnxIwZFmS2o3HfRwqma0GkHb3XdnRCzJhhQWY7Gvd9pGC6FkTa0XttRyfEjBkWZLajcd9HCqZrQaQdvdd2dELMmGFBZjsa932kYLoWRNrRe21HJ8SMGRZktqNx30cKpmtBpB2913Z0QsyYYUFmOxr3faRguhZE2tF7bUcnxIwZFmS2o3HfRwKm247eSTsaz4oFsXY0rvHGZjt6OVIwXQsi7ei9tqMTYvw0IwONiacHq5GC6VoQaUfvtR2dEDNmCI3ZjsZ9HymYrgWRdvRe29EJMWOG0JjtaNz3kYLpWhBpR++1HZ0QM2YIjdmOxn0fKZiuBZF29F7b0QkxY4bQmO1o3PeRgulaEGlH77UdnRAzZgiN2Y7GfR8pmK4FkXb0XtvRCTFjhtCY7Wjc95GC6VoQaUfvtR2dEDNmCI3ZjsZ9HymYrgWRdvRe29EJMWOG0JjtaNz3kYDptqN30o7Gs2JBrB2Na7yx2Y5ejhRM14JIO3qv7eiEGD/NyEBj4lnQaqRguhZE2tF7bUcnxIwZQmO2o3HfRwqma0GkHb3XdnRCzJghNGY7Gvd9pGC6FkTa0XttRyfEjBlCY7ajcd9HCqZrQaQdvdd2dELMmCE0Zjsa932kYLoWRNrRe21HJ8SMGUJjtqNx30cKpmtBpB2913Z0QsyYITRmOxr3faRguhZE2tF7bUcnxIwZQmO2o3HfRwqma0GkHb3XdnRCzJghNGY7Gvd9JGC67eidtKPxrFgQa0fjGm9stqOXIwXTtSDSjt5rOzohxk8zMtCYeBa0GimYrgWRdvRe29EJMWOG0JjtaNz3kYLpWhBpR++1HZ0QM2YIjdmOxn0fKZiuBZF29F7b0QkxY4bQmO1o3PeRgulaEGlH77UdnRAzZgiN2Y7GfR8pmK4FkXb0XtvRCTFjhtCY7Wjc95GC6VoQaUfvtR2dEDNmCI3ZjsZ9HymYrgWRdvRe29EJMWOG0JjtaNz3kYLpWhBpR++1HZ0QM2YIjdmOxn0fCZhuO3on7Wg8KxbE2tG4xhub7ejlSMF0LYi0o/fajk6I8dOMDDQmngWtRgqma0GkHb3XdnRCzJghNGY7Gvd9pGC6FkTa0XttRyfEjBlCY7ajcd9HCqZrQaQdvdd2dELMmCE0Zjsa932kYLoWRNrRe21HJ8SMGUJjtqNx30cKpmtBpB2913Z0QsyYITRmOxr3faRguhZE2tF7bUcnxIwZQmO2o3HfRwqma0GkHb3XdnRCzJghNGY7Gvd9pGC6FkTa0XttRyfEjBlCY7ajcd9HAqbbjt5JOxrPigWxdjSu8cZmO3o5UjBdCyLt6L22oxNi/DQjA42JZ0GrkYLpWhBpR++1HZ0QM2YIjdmOxn0fKZiuBZF29F7b0QkxY4bQmO1o3PeRgulaEGlH77UdnRAzZgiN2Y7GfR8pmK4FkXb0XtvRCTFjhtCY7Wjc95GC6VoQaUfvtR2dEDNmCI3ZjsZ9HymYrgWRdvRe29EJMWOG0JjtaNz3kYLpWhBpR++1HZ0QM2YIjdmOxn0fKZiuBZF29F7b0QkxY4bQmO1o3PeRgOm2o3fSjsazYkGsHY1rvLHZjl6OFEzXgkg7eq/t6IQYP83IQGPiWdBqpGC6FkTa0XttRyfEjBlCY7ajcd9HCqZrQaQdvdd2dELMmCE0Zjsa932kYLoWRNrRe21HJ8SMGUJjtqNx30cKpmtBpB2913Z0QsyYITRmOxr3faRguhZE2tF7bUcnxIwZQmO2o3HfRwqma0GkHb3XdnRCzJghNGY7Gvd9pGC6FkTa0XttRyfEjBlCY7ajcd9HCqZrQaQdvdd2dELMmCE0Zjsa930kYLrt6J20o/GsWBBrR+Mab2y2o5cjBdO1INKO3ms7OiHGTzMy0Jh4FrQaKZiuBZF29F7b0QkxY4bQmO1o3PeRgulaEGlH77UdnRAzZgiN2Y7GfR8pmK4FkXb0XtvRCTFjhtCY7Wjc95GC6VoQaUfvtR2dEDNmCI3ZjsZ9HymYrgWRdvRe29EJMWOG0JjtaNz3kYLpWhBpR++1HZ0QM2YIjdmOxn0fKZiuBZF29F7b0QkxY4bQmO1o3PeRgulaEGlH77UdnRAzZgiN2Y7GfR8JmG47eiftaDwrFsTa0bjGG5vt6OVIwXQtiLSj99qOTojx04wMNCaeBa1GCqZrQaQdvdd2dELMmCE0Zjsa932kYLoWRNrRe21HJ8SMGUJjtqNx30cKpmtBpB2913Z0QsyYITRmOxr3faRguhZE2tF7bUcnxIwZQmO2o3HfRwqma0GkHb3XdnRCzJghNGY7Gvd9pGC6FkTa0XttRyfEjBlCY7ajcd9HCqZrQaQdvdd2dELMmCE0Zjsa932kYLoWRNrRe21HJ8SMGUJjtqNx30fvxzzcdvT3g3U7Gs+KBbF2NK7fvMU/LD1YjhRM04IO0o7Gs5eYCTF9mrgOTM+CliMF07Sgg7Sj8axiknY0rgPTqyYuRwqmaUEHaUfjWcUk7WhcB6bXjl6OFEzTgg7Sjsazikna0bgOTK8dvRwpmKYFHaQdjWcVk7SjcR2YXjt6OVIwTQs6SDsazyomaUfjOjC9dvRypGCaFnSQdjSeVUzSjsZ1YHrt6OVIwTQt6CDtaDyrmKQdjevA9NrRy5GCaVrQQdrReFYxSTsa14HptaOXIwHTbUcfpB2NZxWTtKNxDUyzHb0cKZiuBZF29FHb0QkxWlBkoDHxZG81UjBdCyLt6KO2oxNixgwLMtvRuO8jBdO1INKOPmo7OiFmzLAgsx2N+z5SMF0LIu3oo7ajE2LGDAsy29G47yMF07Ug0o4+ajs6IWbMsCCzHY37PlIwXQsi7eijtqMTYsYMCzLb0bjvIwXTtSDSjj5qOzohZsywILMdjfs+UjBdCyLt6KO2oxNixgwLMtvRuO8jBdO1INKOPmo7OiFmzLAgsx2N+z4SMN129EHa0XhWLIi1o3GNNzbb0cuRgulaEGlHH7UdnRDjpxkZaEw8C1qNFEzXgkg7+qjt6ISYMUNozHY07vtIwXQtiLSjj9qOTogZM4TGbEfjvo8UTNeCSDv6qO3ohJgxQ2jMdjTu+0jBdC2ItKOP2o5OiBkzhMZsR+O+jxRM14JIO/qo7eiEmDFDaMx2NO77SMF0LYi0o4/ajk6IGTOExmxH476PFEzXgkg7+qjt6ISYMUNozHY07vtIwXQtiLSjj9qOTogZM4TGbEfjvo8ETLcdfZB2NJ4VC2LtaFzjjc129HKkYLoWRNrRR21HJ8T4aUYGGhPPglYjBdO1INKOPmo7OiFmzBAasx2N+z5SMF0LIu3oo7ajE2LGDKEx29G47yMF07Ug0o4+ajs6IWbMEBqzHY37PlIwXQsi7eijtqMTYsYMoTHb0bjvIwXTtSDSjj5qOzohZswQGrMdjfs+UjBdCyLt6KO2oxNixgyhMdvRuO8jBdO1INKOPmo7OiFmzBAasx2N+z5SMF0LIu3oo7ajE2LGDKEx29G47yMB021HH6QdjWfFglg7Gtd4Y7MdvRwpmK4FkXb0UdvRCTF+mpGBxsSzoNVIwXQtiLSjj9qOTogZM4TGbEfjvo8UTNeCSDv6qO3ohJgxQ2jMdjTu+0jBdC2ItKOP2o5OiBkzhMZsR+O+jxRM14JIO/qo7eiEmDFDaMx2NO77SMF0LYi0o4/ajk6IGTOExmxH476PFEzXgkg7+qjt6ISYMUNozHY07vtIwXQtiLSjj9qOTogZM4TGbEfjvo8UTNeCSDv6qO3ohJgxQ2jMdjTu+0jAdNvRB2lH41mxINaOxjXe2GxHL0cKpmtBpB191HZ0QoyfZmSgMfEsaDVSMF0LIu3oo7ajE2LGDKEx29G47yMF07Ug0o4+ajs6IWbMEBqzHY37PlIwXQsi7eijtqMTYsYMoTHb0bjvIwXTtSDSjj5qOzohZswQGrMdjfs+UjBdCyLt6KO2oxNixgyhMdvRuO8jBdO1INKOPmo7OiFmzBAasx2N+z5SMF0LIu3oo7ajE2LGDKEx29G47yMF07Ug0o4+ajs6IWbMEBqzHY37PhIw3Xb0QdrReFYsiLWjcY03NtvRy5GC6VoQaUcftR2dEOOnGRloTDwLWo0UTNeCSDv6qO3ohJgxQ2jMdjTu+0jBdC2ItKOP2o5OiBkzhMZsR+O+jxRM14JIO/qo7eiEmDFDaMx2NO77SMF0LYi0o4/ajk6IGTOExmxH476PFEzXgkg7+qjt6ISYMUNozHY07vtIwXQtiLSjj9qOTogZM4TGbEfjvo8UTNeCSDv6qO3ohJgxQ2jMdjTu+0jBdC2ItKOP2o5OiBkzhMZsR+O+jwRMtx19kHY0nhULYu1oXOONzXb0cqRguhZE2tFHbUcnxPhpRgYaE8+CViMF07Ug0o4+ajs6IWbMEBqzHY37PlIwXQsi7eijtqMTYsYMoTHb0bjvIwXTtSDSjj5qOzohZswQGrMdjfs+UjBdCyLt6KO2oxNixgyhMdvRuO8jBdO1INKOPmo7OiFmzBAasx2N+z5SMF0LIu3oo7ajE2LGDKEx29G47yMF07Ug0o4+ajs6IWbMEBqzHY37PlIwXQsi7eijtqMTYsYMoTHb0bjvIwHTbUcfpB2NZ8WCWDsa13hjsx29HCmYrgWRdvRR29EJMX6akYHGxLOg1UjBdC2ItKOP2o5OiBkzhMZsR+O+jxRM14JIO/qo7eiEmDFDaMx2NO77SMF0LYi0o4/ajk6IGTOExmxH476PFEzXgkg7+qjt6ISYMUNozHY07vtIwXQtiLSjj9qOTogZM4TGbEfjvo8UTNeCSDv6qO3ohJgxQ2jMdjTu+0jBdC2ItKOP2o5OiBkzhMZsR+O+jxRM14JIO/qo7eiEmDFDaMx2NO77SMB029EHaUfjWbEg1o7GNd7YbEcvRwqma0GkHX3UdnRCjJ9mZKAx8SxoNVIwXQsi7eijtqMTYsYMoTHb0bjvIwXTtSDSjj5qOzohZswQGrMdjfs+UjBdCyLt6KO2oxNixgyhMdvRuO8jBdO1INKOPmo7OiFmzBAasx2N+z5SMF0LIu3oo7ajE2LGDKEx29G47yMF07Ug0o4+ajs6IWbMEBqzHY37PlIwXQsi7eijtqMTYsYMoTHb0bjvIwXTtSDSjj5qOzohZswQGrMdjfs+ej/m6bajvx+s29F4ViyItaNx/eYt/mHpwXKkYJoWdJJ2NJ69xEyI6dPEdWB6FrQcKZimBZ2kHY1nFZO0o3EdmF47ejlSME0LOkk7Gs8qJmlH4zowvXb0cqRgmhZ0knY0nlVM0o7GdWB67ejlSME0Legk7Wg8q5ikHY3rwPTa0cuRgmla0Ena0XhWMUk7GteB6bWjlyMF07Sgk7Sj8axiknY0rgPTa0cvRwqmaUEnaUfjWcUk7WhcB6bXjl6OFEzTgk7Sjsazikna0bgOTK8dvRwJmG47+iTtaDyrmKQdjWtgmu3o5UjBdC2ItKPP2o5OiNGCIgONiSd7q5GC6VoQaUeftR2dEDNmWJDZjsZ9HymYrgWRdvRZ29EJMWOGBZntaNz3kYLpWhBpR5+1HZ0QM2ZYkNmOxn0fKZiuBZF29Fnb0QkxY4YFme1o3PeRgulaEGlHn7UdnRAzZliQ2Y7GfR8pmK4FkXb0WdvRCTFjhgWZ7Wjc95GC6VoQaUeftR2dEDNmWJDZjsZ9HymYrgWRdvRZ29EJMWOGBZntaNz3kYDptqNP0o7Gs2JBrB2Na7yx2Y5ejhRM14JIO/qs7eiEGD/NyEBj4lnQaqRguhZE2tFnbUcnxIwZQmO2o3HfRwqma0GkHX3WdnRCzJghNGY7Gvd9pGC6FkTa0WdtRyfEjBlCY7ajcd9HCqZrQaQdfdZ2dELMmCE0Zjsa932kYLoWRNrRZ21HJ8SMGUJjtqNx30cKpmtBpB191nZ0QsyYITRmOxr3faRguhZE2tFnbUcnxIwZQmO2o3HfRwqma0GkHX3WdnRCzJghNGY7Gvd9JGC67eiTtKPxrFgQa0fjGm9stqOXIwXTtSDSjj5rOzohxk8zMtCYeBa0GimYrgWRdvRZ29EJMWOG0JjtaNz3kYLpWhBpR5+1HZ0QM2YIjdmOxn0fKZiuBZF29Fnb0QkxY4bQmO1o3PeRgulaEGlHn7UdnRAzZgiN2Y7GfR8pmK4FkXb0WdvRCTFjhtCY7Wjc95GC6VoQaUeftR2dEDNmCI3ZjsZ9HymYrgWRdvRZ29EJMWOG0JjtaNz3kYLpWhBpR5+1HZ0QM2YIjdmOxn0fCZhuO/ok7Wg8KxbE2tG4xhub7ejlSMF0LYi0o8/ajk6I8dOMDDQmngWtRgqma0GkHX3WdnRCzJghNGY7Gvd9pGC6FkTa0WdtRyfEjBlCY7ajcd9HCqZrQaQdfdZ2dELMmCE0Zjsa932kYLoWRNrRZ21HJ8SMGUJjtqNx30cKpmtBpB191nZ0QsyYITRmOxr3faRguhZE2tFnbUcnxIwZQmO2o3HfRwqma0GkHX3WdnRCzJghNGY7Gvd9pGC6FkTa0WdtRyfEjBlCY7ajcd9HAqbbjj5JOxrPigWxdjSu8cZmO3o5UjBdCyLt6LO2oxNi/DQjA42JZ0GrkYLpWhBpR5+1HZ0QM2YIjdmOxn0fKZiuBZF29Fnb0QkxY4bQmO1o3PeRgulaEGlHn7UdnRAzZgiN2Y7GfR8pmK4FkXb0WdvRCTFjhtCY7Wjc95GC6VoQaUeftR2dEDNmCI3ZjsZ9HymYrgWRdvRZ29EJMWOG0JjtaNz3kYLpWhBpR5+1HZ0QM2YIjdmOxn0fKZiuBZF29Fnb0QkxY4bQmO1o3PeRgOm2o0/SjsazYkGsHY1rvLHZjl6OFEzXgkg7+qzt6IQYP83IQGPiWdBqpGC6FkTa0WdtRyfEjBlCY7ajcd9HCqZrQaQdfdZ2dELMmCE0Zjsa932kYLoWRNrRZ21HJ8SMGUJjtqNx30cKpmtBpB191nZ0QsyYITRmOxr3faRguhZE2tFnbUcnxIwZQmO2o3HfRwqma0GkHX3WdnRCzJghNGY7Gvd9pGC6FkTa0WdtRyfEjBlCY7ajcd9HCqZrQaQdfdZ2dELMmCE0Zjsa930kYLrt6JO0o/GsWBBrR+Mab2y2o5cjBdO1INKOPms7OiHGTzMy0Jh4FrQaKZiuBZF29Fnb0QkxY4bQmO1o3PeRgulaEGlHn7UdnRAzZgiN2Y7GfR8pmK4FkXb0WdvRCTFjhtCY7Wjc95GC6VoQaUeftR2dEDNmCI3ZjsZ9HymYrgWRdvRZ29EJMWOG0JjtaNz3kYLpWhBpR5+1HZ0QM2YIjdmOxn0fKZiuBZF29Fnb0QkxY4bQmO1o3PeRgulaEGlHn7UdnRAzZgiN2Y7GfR8JmG47+iTtaDwrFsTa0bjGG5vt6OVIwXQtiLSjz9qOTojx04wMNCaeBa1GCqZrQaQdfdZ2dELMmCE0Zjsa932kYLoWRNrRZ21HJ8SMGUJjtqNx30cKpmtBpB191nZ0QsyYITRmOxr3faRguhZE2tFnbUcnxIwZQmO2o3HfRwqma0GkHX3WdnRCzJghNGY7Gvd9pGC6FkTa0WdtRyfEjBlCY7ajcd9HCqZrQaQdfdZ2dELMmCE0Zjsa932kYLoWRNrRZ21HJ8SMGUJjtqNx30cCptuOPkk7Gs+KBbF2NK7xxmY7ejlSMF0LIu3os7ajE2L8NCMDjYlnQauRgulaEGlHn7UdnRAzZgiN2Y7GfR8pmK4FkXb0WdvRCTFjhtCY7Wjc95GC6VoQaUeftR2dEDNmCI3ZjsZ9HymYrgWRdvRZ29EJMWOG0JjtaNz3kYLpWhBpR5+1HZ0QM2YIjdmOxn0fKZiuBZF29Fnb0QkxY4bQmO1o3PeRgulaEGlHn7UdnRAzZgiN2Y7GfR8pmK4FkXb0WdvRCTFjhtCY7Wjc99H7MS+3Hf39YN2OxrNiQawdjes3b/EPSw+WIwXTtKCLtKPx7CVmQkyfJq4D07Og5UjBNC3oIu1oPKuYpB2N68D02tHLkYJpWtBF2tF4VjFJOxrXgem1o5cjBdO0oIu0o/GsYpJ2NK4D02tHL0cKpmlBF2lH41nFJO1oXAem145ejhRM04Iu0o7Gs4pJ2tG4DkyvHb0cKZimBV2kHY1nFZO0o3EdmF47ejlSME0Lukg7Gs8qJmlH4zowvXb0cqRgmhZ0kXY0nlVM0o7GdWB67ejlSMB029EXaUfjWcUk7WhcA9NsRy9HCqZrQaQdfdV2dEKMFhQZaEw82VuNFEzXgkg7+qrt6ISYMcOCzHY07vtIwXQtiLSjr9qOTogZMyzIbEfjvo8UTNeCSDv6qu3ohJgxw4LMdjTu+0jBdC2ItKOv2o5OiBkzLMhsR+O+jxRM14JIO/qq7eiEmDHDgsx2NO77SMF0LYi0o6/ajk6IGTMsyGxH476PFEzXgkg7+qrt6ISYMcOCzHY07vtIwXQtiLSjr9qOTogZMyzIbEfjvo8ETLcdfZF2NJ4VC2LtaFzjjc129HKkYLoWRNrRV21HJ8T4aUYGGhPPglYjBdO1INKOvmo7OiFmzBAasx2N+z5SMF0LIu3oq7ajE2LGDKEx29G47yMF07Ug0o6+ajs6IWbMEBqzHY37PlIwXQsi7eirtqMTYsYMoTHb0bjvIwXTtSDSjr5qOzohZswQGrMdjfs+UjBdCyLt6Ku2oxNixgyhMdvRuO8jBdO1INKOvmo7OiFmzBAasx2N+z5SMF0LIu3oq7ajE2LGDKEx29G47yMB021HX6QdjWfFglg7Gtd4Y7MdvRwpmK4FkXb0VdvRCTF+mpGBxsSzoNVIwXQtiLSjr9qOTogZM4TGbEfjvo8UTNeCSDv6qu3ohJgxQ2jMdjTu+0jBdC2ItKOv2o5OiBkzhMZsR+O+jxRM14JIO/qq7eiEmDFDaMx2NO77SMF0LYi0o6/ajk6IGTOExmxH476PFEzXgkg7+qrt6ISYMUNozHY07vtIwXQtiLSjr9qOTogZM4TGbEfjvo8UTNeCSDv6qu3ohJgxQ2jMdjTu+0jAdNvRF2lH41mxINaOxjXe2GxHL0cKpmtBpB191XZ0QoyfZmSgMfEsaDVSMF0LIu3oq7ajE2LGDKEx29G47yMF07Ug0o6+ajs6IWbMEBqzHY37PlIwXQsi7eirtqMTYsYMoTHb0bjvIwXTtSDSjr5qOzohZswQGrMdjfs+UjBdCyLt6Ku2oxNixgyhMdvRuO8jBdO1INKOvmo7OiFmzBAasx2N+z5SMF0LIu3oq7ajE2LGDKEx29G47yMF07Ug0o6+ajs6IWbMEBqzHY37PhIw3Xb0RdrReFYsiLWjcY03NtvRy5GC6VoQaUdftR2dEOOnGRloTDwLWo0UTNeCSDv6qu3ohJgxQ2jMdjTu+0jBdC2ItKOv2o5OiBkzhMZsR+O+jxRM14JIO/qq7eiEmDFDaMx2NO77SMF0LYi0o6/ajk6IGTOExmxH476PFEzXgkg7+qrt6ISYMUNozHY07vtIwXQtiLSjr9qOTogZM4TGbEfjvo8UTNeCSDv6qu3ohJgxQ2jMdjTu+0jBdC2ItKOv2o5OiBkzhMZsR+O+jwRMtx19kXY0nhULYu1oXOONzXb0cqRguhZE2tFXbUcnxPhpRgYaE8+CViMF07Ug0o6+ajs6IWbMEBqzHY37PlIwXQsi7eirtqMTYsYMoTHb0bjvIwXTtSDSjr5qOzohZswQGrMdjfs+UjBdCyLt6Ku2oxNixgyhMdvRuO8jBdO1INKOvmo7OiFmzBAasx2N+z5SMF0LIu3oq7ajE2LGDKEx29G47yMF07Ug0o6+ajs6IWbMEBqzHY37PlIwXQsi7eirtqMTYsYMoTHb0bjvIwHTbUdfpB2NZ8WCWDsa13hjsx29HCmYrgWRdvRV29EJMX6akYHGxLOg1UjBdC2ItKOv2o5OiBkzhMZsR+O+jxRM14JIO/qq7eiEmDFDaMx2NO77SMF0LYi0o6/ajk6IGTOExmxH476PFEzXgkg7+qrt6ISYMUNozHY07vtIwXQtiLSjr9qOTogZM4TGbEfjvo8UTNeCSDv6qu3ohJgxQ2jMdjTu+0jBdC2ItKOv2o5OiBkzhMZsR+O+jxRM14JIO/qq7eiEmDFDaMx2NO77SMB029EXaUfjWbEg1o7GNd7YbEcvRwqma0GkHX3VdnRCjJ9mZKAx8SxoNVIwXQsi7eirtqMTYsYMoTHb0bjvIwXTtSDSjr5qOzohZswQGrMdjfs+UjBdCyLt6Ku2oxNixgyhMdvRuO8jBdO1INKOvmo7OiFmzBAasx2N+z5SMF0LIu3oq7ajE2LGDKEx29G47yMF07Ug0o6+ajs6IWbMEBqzHY37PlIwXQsi7eirtqMTYsYMoTHb0bjvIwXTtSDSjr5qOzohZswQGrMdjfs+EjDddvRF2tF4ViyItaNxjTc229HLkYLpWhBpR1+1HZ0Q46cZGWhMPAtajRRM14JIO/qq7eiEmDFDaMx2NO77SMF0LYi0o6/ajk6IGTOExmxH476PFEzXgkg7+qrt6ISYMUNozHY07vtIwXQtiLSjr9qOTogZM4TGbEfjvo8UTNeCSDv6qu3ohJgxQ2jMdjTu+0jBdC2ItKOv2o5OiBkzhMZsR+O+jxRM14JIO/qq7eiEmDFDaMx2NO77SMF0LYi0o6/ajk6IGTOExmxH476P3o95u+3o7wfrdjSeFQti7Whcv3mLf1h6sBwpmKYF3aQdjWcvMRNi+jRxHZieBS1HCqZpQTdpR+NZxSTtaFwHpteOXo4UTNOCbtKOxrOKSdrRuA5Mrx29HCmYpgXdpB2NZxWTtKNxHZheO3o5UjBNC7pJOxrPKiZpR+M6ML129HKkYJoWdJN2NJ5VTNKOxnVgeu3o5UjBNC3oJu1oPKuYpB2N68D02tHLkYJpWtBN2tF4VjFJOxrXgem1o5cjBdO0oJu0o/GsYpJ2NK4D02tHL0cCptuOvkk7Gs8qJmlH4xqYZjt6OVIwXQsi7ei7tqMTYrSgyEBj4sneaqRguhZE2tF3bUcnxIwZFmS2o3HfRwqma0GkHX3XdnRCzJhhQWY7Gvd9pGC6FkTa0XdtRyfEjBkWZLajcd9HCqZrQaQdfdd2dELMmGFBZjsa932kYLoWRNrRd21HJ8SMGRZktqNx30cKpmtBpB1913Z0QsyYYUFmOxr3faRguhZE2tF3bUcnxIwZFmS2o3HfRwqma0GkHX3XdnRCzJhhQWY7Gvd9JGC67eibtKPxrFgQa0fjGm9stqOXIwXTtSDSjr5rOzohxk8zMtCYeBa0GimYrgWRdvRd29EJMWOG0JjtaNz3kYLpWhBpR9+1HZ0QM2YIjdmOxn0fKZiuBZF29F3b0QkxY4bQmO1o3PeRgulaEGlH37UdnRAzZgiN2Y7GfR8pmK4FkXb0XdvRCTFjhtCY7Wjc95GC6VoQaUfftR2dEDNmCI3ZjsZ9HymYrgWRdvRd29EJMWOG0JjtaNz3kYLpWhBpR9+1HZ0QM2YIjdmOxn0fCZhuO/om7Wg8KxbE2tG4xhub7ejlSMF0LYi0o+/ajk6I8dOMDDQmngWtRgqma0GkHX3XdnRCzJghNGY7Gvd9pGC6FkTa0XdtRyfEjBlCY7ajcd9HCqZrQaQdfdd2dELMmCE0Zjsa932kYLoWRNrRd21HJ8SMGUJjtqNx30cKpmtBpB1913Z0QsyYITRmOxr3faRguhZE2tF3bUcnxIwZQmO2o3HfRwqma0GkHX3XdnRCzJghNGY7Gvd9pGC6FkTa0XdtRyfEjBlCY7ajcd9HAqbbjr5JOxrPigWxdjSu8cZmO3o5UjBdCyLt6Lu2oxNi/DQjA42JZ0GrkYLpWhBpR9+1HZ0QM2YIjdmOxn0fKZiuBZF29F3b0QkxY4bQmO1o3PeRgulaEGlH37UdnRAzZgiN2Y7GfR8pmK4FkXb0XdvRCTFjhtCY7Wjc95GC6VoQaUfftR2dEDNmCI3ZjsZ9HymYrgWRdvRd29EJMWOG0JjtaNz3kYLpWhBpR9+1HZ0QM2YIjdmOxn0fKZiuBZF29F3b0QkxY4bQmO1o3PeRgOm2o2/SjsazYkGsHY1rvLHZjl6OFEzXgkg7+q7t6IQYP83IQGPiWdBqpGC6FkTa0XdtRyfEjBlCY7ajcd9HCqZrQaQdfdd2dELMmCE0Zjsa932kYLoWRNrRd21HJ8SMGUJjtqNx30cKpmtBpB1913Z0QsyYITRmOxr3faRguhZE2tF3bUcnxIwZQmO2o3HfRwqma0GkHX3XdnRCzJghNGY7Gvd9pGC6FkTa0XdtRyfEjBlCY7ajcd9HCqZrQaQdfdd2dELMmCE0Zjsa930kYLrt6Ju0o/GsWBBrR+Mab2y2o5cjBdO1INKOvms7OiHGTzMy0Jh4FrQaKZiuBZF29F3b0QkxY4bQmO1o3PeRgulaEGlH37UdnRAzZgiN2Y7GfR8pmK4FkXb0XdvRCTFjhtCY7Wjc95GC6VoQaUfftR2dEDNmCI3ZjsZ9HymYrgWRdvRd29EJMWOG0JjtaNz3kYLpWhBpR9+1HZ0QM2YIjdmOxn0fKZiuBZF29F3b0QkxY4bQmO1o3PeRgulaEGlH37UdnRAzZgiN2Y7GfR8JmG47+ibtaDwrFsTa0bjGG5vt6OVIwXQtiLSj79qOTojx04wMNCaeBa1GCqZrQaQdfdd2dELMmCE0Zjsa932kYLoWRNrRd21HJ8SMGUJjtqNx30cKpmtBpB1913Z0QsyYITRmOxr3faRguhZE2tF3bUcnxIwZQmO2o3HfRwqma0GkHX3XdnRCzJghNGY7Gvd9pGC6FkTa0XdtRyfEjBlCY7ajcd9HCqZrQaQdfdd2dELMmCE0Zjsa932kYLoWRNrRd21HJ8SMGUJjtqNx30cCptuOvkk7Gs+KBbF2NK7xxmY7ejlSMF0LIu3ou7ajE2L8NCMDjYlnQauRgulaEGlH37UdnRAzZgiN2Y7GfR8pmK4FkXb0XdvRCTFjhtCY7Wjc95GC6VoQaUfftR2dEDNmCI3ZjsZ9HymYrgWRdvRd29EJMWOG0JjtaNz3kYLpWhBpR9+1HZ0QM2YIjdmOxn0fKZiuBZF29F3b0QkxY4bQmO1o3PeRgulaEGlH37UdnRAzZgiN2Y7GfR8pmK4FkXb0XdvRCTFjhtCY7Wjc95GA6bajb9KOxrNiQawdjWu8sdmOXo4UTNeCSDv6/1JyxrgWHDcQPJLt5M+MAkdOdQgFBpxb94eblBORyxYrecmwgVfYpKL6qe3ohBi/ZmSgNWEW9DXaYFILMu3on9qOTogZM4QGtqN130cbTGpBph39U9vRCTFjhtDAdrTu+2iDSS3ItKN/ajs6IWbMEBrYjtZ9H20wqQWZdvRPbUcnxIwZQgPb0brvow0mtSDTjv6p7eiEmDFDaGA7Wvd9tMGkFmTa0T+1HZ0QM2YIDWxH676PNpjUgkw7+qe2oxNixgyhge1o3ffRBpNakGlH/9R2dELMmCE0sB2t+z76a8xD29F/DL7b0XorFuTa0br+5Vf9ID34HG0woQUd047W258xE2L6mroOTGZBn6MNJrSgY9rRequYph2t68Bk7ejP0QYTWtAx7Wi9VUzTjtZ1YLJ29Odogwkt6Jh2tN4qpmlH6zowWTv6c7TBhBZ0TDtabxXTtKN1HZisHf052mBCCzqmHa23imna0boOTNaO/hxtMKEFHdOO1lvFNO1oXQcma0d/jjaY0IKOaUfrrWKadrSuA5O1oz9HG0xoQce0o/VWMU07WteBydrRn6MFJm1HH9OO1lvFNO1oXQsTtqM/RxtMakGmHX1qOzohRguKDLQmTPa+RhtMakGmHX1qOzohZsywINiO1n0fbTCpBZl29Knt6ISYMcOCYDta9320waQWZNrRp7ajE2LGDAuC7Wjd99EGk1qQaUef2o5OiBkzLAi2o3XfRxtMakGmHX1qOzohZsywINiO1n0fbTCpBZl29Knt6ISYMcOCYDta9320waQWZNrRp7ajE2LGDAuC7Wjd99EGk1qQaUef2o5OiBkzLAi2o3XfRwtM2o4+ph2tt2JBrh2ta/1j2I7+HG0wqQWZdvSp7eiEGL9mZKA1YRb0NdpgUgsy7ehT29EJMWOG0MB2tO77aINJLci0o09tRyfEjBlCA9vRuu+jDSa1INOOPrUdnRAzZggNbEfrvo82mNSCTDv61HZ0QsyYITSwHa37PtpgUgsy7ehT29EJMWOG0MB2tO77aINJLci0o09tRyfEjBlCA9vRuu+jDSa1INOOPrUdnRAzZggNbEfrvo82mNSCTDv61HZ0QsyYITSwHa37Plpg0nb0Me1ovRULcu1oXesfw3b052iDSS3ItKNPbUcnxPg1IwOtCbOgr9EGk1qQaUef2o5OiBkzhAa2o3XfRxtMakGmHX1qOzohZswQGtiO1n0fbTCpBZl29Knt6ISYMUNoYDta9320waQWZNrRp7ajE2LGDKGB7Wjd99EGk1qQaUef2o5OiBkzhAa2o3XfRxtMakGmHX1qOzohZswQGtiO1n0fbTCpBZl29Knt6ISYMUNoYDta9320waQWZNrRp7ajE2LGDKGB7Wjd99ECk7ajj2lH661YkGtH61r/GLajP0cbTGpBph19ajs6IcavGRloTZgFfY02mNSCTDv61HZ0QsyYITSwHa37PtpgUgsy7ehT29EJMWOG0MB2tO77aINJLci0o09tRyfEjBlCA9vRuu+jDSa1INOOPrUdnRAzZggNbEfrvo82mNSCTDv61HZ0QsyYITSwHa37PtpgUgsy7ehT29EJMWOG0MB2tO77aINJLci0o09tRyfEjBlCA9vRuu+jDSa1INOOPrUdnRAzZggNbEfrvo8WmLQdfUw7Wm/Fglw7Wtf6x7Ad/TnaYFILMu3oU9vRCTF+zchAa8Is6Gu0waQWZNrRp7ajE2LGDKGB7Wjd99EGk1qQaUef2o5OiBkzhAa2o3XfRxtMakGmHX1qOzohZswQGtiO1n0fbTCpBZl29Knt6ISYMUNoYDta9320waQWZNrRp7ajE2LGDKGB7Wjd99EGk1qQaUef2o5OiBkzhAa2o3XfRxtMakGmHX1qOzohZswQGtiO1n0fbTCpBZl29Knt6ISYMUNoYDta9320wKTt6GPa0XorFuTa0brWP4bt6M/RBpNakGlHn9qOTojxa0YGWhNmQV+jDSa1INOOPrUdnRAzZggNbEfrvo82mNSCTDv61HZ0QsyYITSwHa37PtpgUgsy7ehT29EJMWOG0MB2tO77aINJLci0o09tRyfEjBlCA9vRuu+jDSa1INOOPrUdnRAzZggNbEfrvo82mNSCTDv61HZ0QsyYITSwHa37PtpgUgsy7ehT29EJMWOG0MB2tO77aINJLci0o09tRyfEjBlCA9vRuu+jBSZtRx/TjtZbsSDXjta1/jFsR3+ONpjUgkw7+tR2dEKMXzMy0JowC/oabTCpBZl29Knt6ISYMUNoYDta9320waQWZNrRp7ajE2LGDKGB7Wjd99EGk1qQaUef2o5OiBkzhAa2o3XfRxtMakGmHX1qOzohZswQGtiO1n0fbTCpBZl29Knt6ISYMUNoYDta9320waQWZNrRp7ajE2LGDKGB7Wjd99EGk1qQaUef2o5OiBkzhAa2o3XfRxtMakGmHX1qOzohZswQGtiO1n0fLTBpO/qYdrTeigW5drSu9Y9hO/pztMGkFmTa0ae2oxNi/JqRgdaEWdDXaINJLci0o09tRyfEjBlCA9vRuu+jDSa1INOOPrUdnRAzZggNbEfrvo82mNSCTDv61HZ0QsyYITSwHa37PtpgUgsy7ehT29EJMWOG0MB2tO77aINJLci0o09tRyfEjBlCA9vRuu+jDSa1INOOPrUdnRAzZggNbEfrvo82mNSCTDv61HZ0QsyYITSwHa37PtpgUgsy7ehT29EJMWOG0MB2tO77aIFJ29HHtKP1VizItaN1rX8M29Gfow0mtSDTjj61HZ0Q49eMDLQmzIK+RhtMakGmHX1qOzohZswQGtiO1n0fbTCpBZl29Knt6ISYMUNoYDta9320waQWZNrRp7ajE2LGDKGB7Wjd99EGk1qQaUef2o5OiBkzhAa2o3XfRxtMakGmHX1qOzohZswQGtiO1n0fbTCpBZl29Knt6ISYMUNoYDta9320waQWZNrRp7ajE2LGDKGB7Wjd99EGk1qQaUef2o5OiBkzhAa2o3XfR3+NeWk7+o/Bdztab8WCXDta17/8qh+kB5+jDSa0oGva0Xr7M2ZCTF9T14HJLOhztMGEFnRNO1pvFdO0o3UdmKwd/TnaYEILuqYdrbeKadrRug5M1o7+HG0woQVd047WW8U07WhdByZrR3+ONpjQgq5pR+utYpp2tK4Dk7WjP0cbTGhB17Sj9VYxTTta14HJ2tGfow0mtKBr2tF6q5imHa3rwGTt6M/RBhNa0DXtaL1VTNOO1nVgsnb052iDCS3omna03iqmaUfrOjBZO/pztMCk7ehr2tF6q5imHa1rYcJ29Odog0ktyLSjb21HJ8RoQZGB1oTJ3tdog0ktyLSjb21HJ8SMGRYE29G676MNJrUg046+tR2dEDNmWBBsR+u+jzaY1IJMO/rWdnRCzJhhQbAdrfs+2mBSCzLt6Fvb0QkxY4YFwXa07vtog0ktyLSjb21HJ8SMGRYE29G676MNJrUg046+tR2dEDNmWBBsR+u+jzaY1IJMO/rWdnRCzJhhQbAdrfs+2mBSCzLt6Fvb0QkxY4YFwXa07vtogUnb0de0o/VWLMi1o3Wtfwzb0Z+jDSa1INOOvrUdnRDj14wMtCbMgr5GG0xqQaYdfWs7OiFmzBAa2I7WfR9tMKkFmXb0re3ohJgxQ2hgO1r3fbTBpBZk2tG3tqMTYsYMoYHtaN330QaTWpBpR9/ajk6IGTOEBrajdd9HG0xqQaYdfWs7OiFmzBAa2I7WfR9tMKkFmXb0re3ohJgxQ2hgO1r3fbTBpBZk2tG3tqMTYsYMoYHtaN330QaTWpBpR9/ajk6IGTOEBrajdd9HC0zajr6mHa23YkGuHa1r/WPYjv4cbTCpBZl29K3t6IQYv2ZkoDVhFvQ12mBSCzLt6Fvb0QkxY4bQwHa07vtog0ktyLSjb21HJ8SMGUID29G676MNJrUg046+tR2dEDNmCA1sR+u+jzaY1IJMO/rWdnRCzJghNLAdrfs+2mBSCzLt6Fvb0QkxY4bQwHa07vtog0ktyLSjb21HJ8SMGUID29G676MNJrUg046+tR2dEDNmCA1sR+u+jzaY1IJMO/rWdnRCzJghNLAdrfs+WmDSdvQ17Wi9FQty7Whd6x/DdvTnaINJLci0o29tRyfE+DUjA60Js6Cv0QaTWpBpR9/ajk6IGTOEBrajdd9HG0xqQaYdfWs7OiFmzBAa2I7WfR9tMKkFmXb0re3ohJgxQ2hgO1r3fbTBpBZk2tG3tqMTYsYMoYHtaN330QaTWpBpR9/ajk6IGTOEBrajdd9HG0xqQaYdfWs7OiFmzBAa2I7WfR9tMKkFmXb0re3ohJgxQ2hgO1r3fbTBpBZk2tG3tqMTYsYMoYHtaN330QKTtqOvaUfrrViQa0frWv8YtqM/RxtMakGmHX1rOzohxq8ZGWhNmAV9jTaY1IJMO/rWdnRCzJghNLAdrfs+2mBSCzLt6Fvb0QkxY4bQwHa07vtog0ktyLSjb21HJ8SMGUID29G676MNJrUg046+tR2dEDNmCA1sR+u+jzaY1IJMO/rWdnRCzJghNLAdrfs+2mBSCzLt6Fvb0QkxY4bQwHa07vtog0ktyLSjb21HJ8SMGUID29G676MNJrUg046+tR2dEDNmCA1sR+u+jxaYtB19TTtab8WCXDta1/rHsB39OdpgUgsy7ehb29EJMX7NyEBrwizoa7TBpBZk2tG3tqMTYsYMoYHtaN330QaTWpBpR9/ajk6IGTOEBrajdd9HG0xqQaYdfWs7OiFmzBAa2I7WfR9tMKkFmXb0re3ohJgxQ2hgO1r3fbTBpBZk2tG3tqMTYsYMoYHtaN330QaTWpBpR9/ajk6IGTOEBrajdd9HG0xqQaYdfWs7OiFmzBAa2I7WfR9tMKkFmXb0re3ohJgxQ2hgO1r3fbTApO3oa9rReisW5NrRutY/hu3oz9EGk1qQaUff2o5OiPFrRgZaE2ZBX6MNJrUg046+tR2dEDNmCA1sR+u+jzaY1IJMO/rWdnRCzJghNLAdrfs+2mBSCzLt6Fvb0QkxY4bQwHa07vtog0ktyLSjb21HJ8SMGUID29G676MNJrUg046+tR2dEDNmCA1sR+u+jzaY1IJMO/rWdnRCzJghNLAdrfs+2mBSCzLt6Fvb0QkxY4bQwHa07vtog0ktyLSjb21HJ8SMGUID29G676MFJm1HX9OO1luxINeO1rX+MWxHf442mNSCTDv61nZ0QoxfMzLQmjAL+hptMKkFmXb0re3ohJgxQ2hgO1r3fbTBpBZk2tG3tqMTYsYMoYHtaN330QaTWpBpR9/ajk6IGTOEBrajdd9HG0xqQaYdfWs7OiFmzBAa2I7WfR9tMKkFmXb0re3ohJgxQ2hgO1r3fbTBpBZk2tG3tqMTYsYMoYHtaN330QaTWpBpR9/ajk6IGTOEBrajdd9HG0xqQaYdfWs7OiFmzBAa2I7WfR8tMGk7+pp2tN6KBbl2tK71j2E7+nO0waQWZNrRt7ajE2L8mpGB1oRZ0Ndog0ktyLSjb21HJ8SMGUID29G676MNJrUg046+tR2dEDNmCA1sR+u+jzaY1IJMO/rWdnRCzJghNLAdrfs+2mBSCzLt6Fvb0QkxY4bQwHa07vtog0ktyLSjb21HJ8SMGUID29G676MNJrUg046+tR2dEDNmCA1sR+u+jzaY1IJMO/rWdnRCzJghNLAdrfs+2mBSCzLt6Fvb0QkxY4bQwHa07vvorzEfbUf/MfhuR+utWJBrR+v6l1/1g/Tgc7TBhBb0TDtab3/GTIjpa+o6MJkFfY42mNCCnmlH661imna0rgOTtaM/RxtMaEHPtKP1VjFNO1rXgcna0Z+jDSa0oGfa0XqrmKYdrevAZO3oz9EGE1rQM+1ovVVM047WdWCydvTnaIMJLeiZdrTeKqZpR+s6MFk7+nO0wYQW9Ew7Wm8V07SjdR2YrB39OdpgQgt6ph2tt4pp2tG6DkzWjv4cbTChBT3TjtZbxTTtaF0HJmtHf44WmLQd/Uw7Wm8V07SjdS1M2I7+HG0wqQWZdvSr7eiEGC0oMtCaMNn7Gm0wqQWZdvSr7eiEmDHDgmA7Wvd9tMGkFmTa0a+2oxNixgwLgu1o3ffRBpNakGlHv9qOTogZMywItqN130cbTGpBph39ajs6IWbMsCDYjtZ9H20wqQWZdvSr7eiEmDHDgmA7Wvd9tMGkFmTa0a+2oxNixgwLgu1o3ffRBpNakGlHv9qOTogZMywItqN130cbTGpBph39ajs6IWbMsCDYjtZ9Hy0waTv6mXa03ooFuXa0rvWPYTv6c7TBpBZk2tGvtqMTYvyakYHWhFnQ12iDSS3ItKNfbUcnxIwZQgPb0brvow0mtSDTjn61HZ0QM2YIDWxH676PNpjUgkw7+tV2dELMmCE0sB2t+z7aYFILMu3oV9vRCTFjhtDAdrTu+2iDSS3ItKNfbUcnxIwZQgPb0brvow0mtSDTjn61HZ0QM2YIDWxH676PNpjUgkw7+tV2dELMmCE0sB2t+z7aYFILMu3oV9vRCTFjhtDAdrTu+2iBSdvRz7Sj9VYsyLWjda1/DNvRn6MNJrUg045+tR2dEOPXjAy0JsyCvkYbTGpBph39ajs6IWbMEBrYjtZ9H20wqQWZdvSr7eiEmDFDaGA7Wvd9tMGkFmTa0a+2oxNixgyhge1o3ffRBpNakGlHv9qOTogZM4QGtqN130cbTGpBph39ajs6IWbMEBrYjtZ9H20wqQWZdvSr7eiEmDFDaGA7Wvd9tMGkFmTa0a+2oxNixgyhge1o3ffRBpNakGlHv9qOTogZM4QGtqN130cLTNqOfqYdrbdiQa4drWv9Y9iO/hxtMKkFmXb0q+3ohBi/ZmSgNWEW9DXaYFILMu3oV9vRCTFjhtDAdrTu+2iDSS3ItKNfbUcnxIwZQgPb0brvow0mtSDTjn61HZ0QM2YIDWxH676PNpjUgkw7+tV2dELMmCE0sB2t+z7aYFILMu3oV9vRCTFjhtDAdrTu+2iDSS3ItKNfbUcnxIwZQgPb0brvow0mtSDTjn61HZ0QM2YIDWxH676PNpjUgkw7+tV2dELMmCE0sB2t+z5aYNJ29DPtaL0VC3LtaF3rH8N29Odog0ktyLSjX21HJ8T4NSMDrQmzoK/RBpNakGlHv9qOTogZM4QGtqN130cbTGpBph39ajs6IWbMEBrYjtZ9H20wqQWZdvSr7eiEmDFDaGA7Wvd9tMGkFmTa0a+2oxNixgyhge1o3ffRBpNakGlHv9qOTogZM4QGtqN130cbTGpBph39ajs6IWbMEBrYjtZ9H20wqQWZdvSr7eiEmDFDaGA7Wvd9tMGkFmTa0a+2oxNixgyhge1o3ffRApO2o59pR+utWJBrR+ta/xi2oz9HG0xqQaYd/Wo7OiHGrxkZaE2YBX2NNpjUgkw7+tV2dELMmCE0sB2t+z7aYFILMu3oV9vRCTFjhtDAdrTu+2iDSS3ItKNfbUcnxIwZQgPb0brvow0mtSDTjn61HZ0QM2YIDWxH676PNpjUgkw7+tV2dELMmCE0sB2t+z7aYFILMu3oV9vRCTFjhtDAdrTu+2iDSS3ItKNfbUcnxIwZQgPb0brvow0mtSDTjn61HZ0QM2YIDWxH676PFpi0Hf1MO1pvxYJcO1rX+sewHf052mBSCzLt6Ffb0Qkxfs3IQGvCLOhrtMGkFmTa0a+2oxNixgyhge1o3ffRBpNakGlHv9qOTogZM4QGtqN130cbTGpBph39ajs6IWbMEBrYjtZ9H20wqQWZdvSr7eiEmDFDaGA7Wvd9tMGkFmTa0a+2oxNixgyhge1o3ffRBpNakGlHv9qOTogZM4QGtqN130cbTGpBph39ajs6IWbMEBrYjtZ9H20wqQWZdvSr7eiEmDFDaGA7Wvd9tMCk7ehn2tF6Kxbk2tG61j+G7ejP0QaTWpBpR7/ajk6I8WtGBloTZkFfow0mtSDTjn61HZ0QM2YIDWxH676PNpjUgkw7+tV2dELMmCE0sB2t+z7aYFILMu3oV9vRCTFjhtDAdrTu+2iDSS3ItKNfbUcnxIwZQgPb0brvow0mtSDTjn61HZ0QM2YIDWxH676PNpjUgkw7+tV2dELMmCE0sB2t+z7aYFILMu3oV9vRCTFjhtDAdrTu+2iDSS3ItKNfbUcnxIwZQgPb0brvowUmbUc/047WW7Eg147Wtf4xbEd/jjaY1IJMO/rVdnRCjF8zMtCaMAv6Gm0wqQWZdvSr7eiEmDFDaGA7Wvd9tMGkFmTa0a+2oxNixgyhge1o3ffRBpNakGlHv9qOTogZM4QGtqN130cbTGpBph39ajs6IWbMEBrYjtZ9H20wqQWZdvSr7eiEmDFDaGA7Wvd9tMGkFmTa0a+2oxNixgyhge1o3ffRBpNakGlHv9qOTogZM4QGtqN130cbTGpBph39ajs6IWbMEBrYjtZ9H/015j/+TuPR/19816PjsYiQy0fH+S+/xi9yhGFmaP/23//8+9+//+u333/75/8AAAD//wAAAP//ZI7BDsIwDEN/JcoHMBhCSKjtgfsu/EFgaTvBmpFG4vdhEzsgbn6WLdtNKsY34/5CJXEN7teA+lSOHs/tqWsRCo3scYnusAmu+a9T4o40DaXCg6N53G6OCDqkvGqTaXEPCFcxk3GlzNSzzrRHiPI59oV56SV6r5nZwhsAAP//AwBQSwMEFAAGAAgAAAAhAEUrinf1AAAA7QEAACMAAAB4bC93b3Jrc2hlZXRzL19yZWxzL3NoZWV0Mi54bWwucmVsc6yRsU4DMQyGdyTeIfJOcu2AUNVcOwBSBxYoD2DufLmoOSdK3Kp9e8ICtKrEwmj99uf/t5er4xTUgXLxkS3MdAOKuIu9Z2fhfft89wCqCHKPITJZOFGBVXt7s3ylgFKHyuhTUZXCxcIokhbGlG6kCYuOibgqQ8wTSi2zMwm7HToy86a5N/k3A9ozptr0FvKmn4PanlLd/Dc7DoPv6DF2+4lYrqwwKXsWym8kUgOWisbsSCxofald1nP94RnMdZOz/zQ51rg5eN792JvQB4kL1AmzZN87WrvitYsHvf9ue4l9PdPTsQZkDF9WzdmT2k8AAAD//wMAUEsDBBQABgAIAAAAIQDa9ADk8AAAAF0CAAAjAAAAeGwvd29ya3NoZWV0cy9fcmVscy9zaGVldDMueG1sLnJlbHOsks9KAzEQh++C7xDmbrLbgog020sRetX6ADGZ3Q1u/pCM1b69UwR1S8VLb5n5kW8+hlmtP8Ik9liqT1FDKxsQGG1yPg4anncPN3cgKpnozJQiajhghXV3fbV6xMkQf6qjz1UwJVYNI1G+V6raEYOpMmWMnPSpBENclkFlY1/NgGrRNLeq/GZAN2OKrdNQtm4JYnfIPPl/dup7b3GT7FvASGdGKJvCMarMNGVA0iDld7OV7ArqvMbikhr7MG2Keecdz0TcV6+qn7yV/P7Lqb2kUy4+EpYnJGKv+YZOMnVSL+WLj0dJNTuK7hMAAP//AwBQSwMEFAAGAAgAAAAhAL2gv71LBwAAHSIAABMAAAB4bC90aGVtZS90aGVtZTEueG1s7FpLbxs3EL4X6H8g9p5YsiXHMiIHlizFSfyCraTIkVpRu7S5ywVJ2dGtSI4FChRNi14K9NZD0TZAAvSS/hq3KdoUyF/okFxJS4uKrcZFX3aAeB/fDOfN2aFv3nqUMHRMhKQ8rQfl66UAkTTkPZpG9eB+p31tJUBS4bSHGU9JPRgSGdxae/+9m3hVxSQhCOhTuYrrQaxUtrqwIEN4jOV1npEU3vW5SLCCWxEt9AQ+Ab4JW1gslZYXEkzTAKU4Aba7/T4NCepolsHaiHmLwW2qpH4QMnGgWROHwmB7R2WNkEPZZAIdY1YPYJ0eP+mQRypADEsFL+pByfwEC2s3F/BqTsTUDNoCXdv85HQ5Qe9o0awpou540XK7UruxMeZvAExN41qtVrNVHvMzAByGoKmVpciz0l4pN0Y8CyB7Oc27WaqWKi6+wH9pSuZao9Go1nJZLFMDspeVKfxKabmyvujgDcjiq1P4SmO92Vx28AZk8ctT+PaN2nLFxRtQzGh6NIXWDm23c+5jSJ+zTS98BeArpRw+QUE0jKNLL9HnqZoVawk+5KINAA1kWNEUqWFG+jiEKG7ipCsoDlCGUy7hQWmx1C4twf/6X8VcVfTyeJXgAp19FMqpR1oSJENBM1UP7gLXoAB58/LbNy+fozcvn50+fnH6+IfTJ09OH39veTmEmziNioSvv/7k9y8/RL89/+r108/8eFnE//zdRz/9+KkfCPk10f/V589+efHs1Rcf//rNUw98XeBuEd6hCZFoh5ygfZ6AbsYwruSkK+aj6MSYOhQ4Bt4e1i0VO8CdIWY+XIO4xnsgoLT4gLcHh46sB7EYKOpZ+V6cOMBtzlmDC68B7um1ChbuDNLIv7gYFHH7GB/71m7i1HFta5BBTYWQnbZ9MyaOmHsMpwpHJCUK6Xf8iBAP2UNKHbtu01BwyfsKPaSoganXJB3adQJpQrRJE/DL0CcguNqxzfYD1ODMp/UGOXaRkBCYeYTvEOaY8TYeKJz4WHZwwooG38Iq9gl5MBRhEdeSCjwdEcZRq0ek9NHsCtC34PR7GKqZ1+3bbJi4SKHokY/nFua8iNzgR80YJ5lXZprGRewdeQQhitEeVz74NnczRN+DH3A6090PKHHcfX4huE8jR6RJgOg3A+Hx5W3C3Xwcsj4mviqzLhKnsK5DDfdFR2MQOaG9RQjDJ7hHCLp/xyNBg2eOzSdC342hqmwSX2DdxW6s6vuUSOiNdDMznaZbVDohe0AiPkOe7eGZwjPEaYLFLM474HUndGFv85bSXRYeFYE7FHo+iBevUXYl8CgEd2sW170YO7uWvpf+eB0Kx38XyTHIy8N58xJoyNw0UNgvbJsOZs4Ck4DpYIq2fOUWSBz3T0j0vmrIBl66vpu0EzdAN+Q0OQlN39bxMAoOPNPxVK86Htuyne14ZlWWzTN9zizcv7C72cCDdI/AhjJduq6am6vmJvjPNzezcvmqpblqaa5aGt9H2F/S0ky6GGhwJhMeM+9JZo57+pSxAzVkZEuaiY+ED5teGx6aUZSZR47Hf1kMl1ofWMDBRQIbGiS4+oCq+CDGGQyHymZ4GcmcdSRRxiXMjMxjM0YlZ3ibwSiFkZCZcVb19MvaT2K1zXv28VJxyjlmY6SKzCR1tNCSZnDRxZZuvNtiZSvVTLO5qpWNaKZjcFQbq6xNPLL+WDV4OLYmfDEj+M4GKy/DsFnLDnM0aK972u7WRyO36KUv1UUyhm/C3Eda72kflY2TRrEypYjWwwaDnlie46PCajXN9h1Wu4iTistVZiw38t67eGk0pp14SeftmXRkaTE5WYpO6kGtulgNUIizetCHAS1cJhl4XervHcwiOOUIlbBhf24ym3CdeLPmD8syzNyt3acUdupAJqTawDK2oWFe5SHAUjNONvIvVsGsl6WApxpdTIqlFQiGv00KsKPrWtLvk1AVnV14YubpBpCXUj5QRBzEvRPUZQOxj8H9OlRBnx6VMEk3FUHfwKGQtrZ55RbnPOmKRzEGZ59jlsU4L7c6RUeZbOGmII1lMHdWWiMe6OaV3Sg3vyom5S9JlWIY/89U0fsJjLaXetoDIZxJCox0ptQDLlTMoQplMQ3bAg5kTO2AaIGDRXgNQQUno+a3IMf6t805y8OkNUwo1T6NkKCwH6lYELIHZclE3znMyvneZVmynJHtMCbiysyK3SXHhHV0DVzWe3uAYgh1U03yMmBwZ+PPvc8zqBvpJuef2vnYZJ63PZjsqpb+gr1IpVD0C1tBzbv3mZ5qXA7esrHPudXaijWl8WL1wlttBgcUcC6pICZCKkIYNJrWF7zc4ftQWxGcmtv2CkFUX7ONB9IF0pbHLjRO9qENJs3Kdl55d3vpbRScread7nhdyNI/0+nOaexxc+Yu5+Ti27vP+YydW9ixdbHT9ZgakvZsiur2aPQhYxxj/j6j+CcUvHsIjt6Aw+oBU9IeQz+C4yj4yrDH3ZD81rmGdO0PAAAA//8DAFBLAwQUAAYACAAAACEAvWFUi68NAACfngAADQAAAHhsL3N0eWxlcy54bWzsXVtvo0gWfl9p/wPyu4PB4NjZOLO5tLUjzbZG6qy0D/NCbByjBmMB7nFmNf99T3EtzKUuVGE8Slrq2IQ6darq1DnfuUDd/3TyXOWHHYSOv1+OtJvJSLH3a3/j7N+Xo/+8rsbzkRJG1n5juf7eXo4+7HD008Pf/3YfRh+u/W1n25ECJPbhcrSLosOdqobrne1Z4Y1/sPfwl60feFYEX4N3NTwEtrUJUSPPVfXJZKZ6lrMfJRTuvDUNEc8Kvh8P47XvHazIeXNcJ/qIaY0Ub3338/veD6w3F1g9aYa1Vk7aLNCVU5B1El+t9OM568AP/W10A3RVf7t11naV3YW6UK11QQko81HSTHWil8Z+CjgpGWpg/3DQ8o0e7vdHb+VFobL2j/toOdLzS0ryl583sMYzY6Qkq/Lsb9CSws9vY8/7bbzZ/OOfIzUjU2pjlttMQFDgRjXt8OF+6++Lfo0FzBGa/bvve//3/Qr9DToGbtBtD/fhH8oPy4UrOiKy9l0/UCKQGmBGi/u3PDu54zFwLBdd2lqe434kF+NWakLqjGDcvI3gs+U6b4FTSzKW3LRjzwE5iof42Q9aqiubt1hE9qxidARBa5PNWOaZqeYUJQvnG4F7rp1VIkocAOV2dXBO40kVoANKnM5EK5azpRe0HYhj79ZPaUok90Uv5TxCIkrymsQ5eH9bjlbwM4Gf7hulate6qQ5dlKHExz/FNkk+fjQH3cdvFNuvO+VMsnQpVOc1rHILgTxgI0pL5hxiBNMlQqMWIfwyFLqBLVMnpFhSAJhAiYGf2DbtrlFahKkjECGqp2f/GDh2oHy1fz9HylMWUNyRz6qMdlDQJdAh3PEQJUpN8inYQAnd/ZmgLgpV6uw39skGb3N+5tC9Wjvfs86FqurR4fMgi25iALnxPBtb650VhBAsSRzfxk2UWHp+H6O6sC/G1NSeuWx6trBVGymAKO78p9LdgeoxmdiNf4TYDxpsjhq6m6M41BBCDMJx3Ty2ohkonAFXHu4hDhXZwX4FX5T08+vHAYIZewiZJSsd30e4+z2wPjTdpG8Q+q6zQVy8P+MhlHjAb+m1fCNC1AcFbDBe4VvCEYGvxm6UyEFRpvHkRjMWi8XcuDUmt4apz/R408tnQXY3GHZNgJH8IcWYXH43EM5LFm9yc4uWTpvN5/OFMdUMI9bFEjlIJ3W+0qdPMZjoV1R1ENXbWw393M4XshnIJEhfwT+0AeVPbAHj5fdVKGz5fZkT89GMfVOWvmIVB7r7zQ82kOXIIuNTpL2Taw/3rr2NYGkC532Hfkf+AS2UH0WQCni43zjWu7+3XKQ9sxZ4S0iPQCZkOYp2kMnIotnnahd1kfZAdX/MS8wK1e3AcsYx1f3J4MSPLZm9i7JcXshBsHKNK+7ZG+foscgzoUVVogkNamSa0IJWqjMRYVyXK1YKDGrsbI7TuEiMKdUaLdZ2O3HJS8TJ6126nVWFUY6LX/8zdZCJXlsjyRNSslcpTnlcoH+xo0CyWNUWBJtVbUCyWtUWHRedwirTyXOuCmjWkVctUStUEjfnw2Zl6GxPNIyZtxdKcpg8Do0fGiEoNgeLGTm3VOwiwa/5WzaLMCUpbEMy6lOKWeGeekp5xpQfAzfJzEvpgncfSh0vJfEBgkvelRqIdmVfVcGMd95/rf64fOeivP4XYqbrnr7wHPa4+1tHygeY+LeQEGb60+dZT0Nku8nFlIKLmOVVJHJPg5MQ61zbrvsNBSX/u80DnnMI5Zy2WEkvFHqjylZUEYw+QoIq/ZjENpMvwF9To9vGRop1OLgfX4/emx2s4urvuIv4KsqRFd+e4qBs8f3Rdd73no2SSsBT3ODXwI/sdRRXp09gDFC+m9yCitYjZ41qU0GZI5f1kN+quP76O8o+J2GL07Z5GFDezj52VAzNPGGo6pq50ZSnkc7TSGtrpOIilQgYJluaiQrN2aVLOW2JYqZhwgmTUQgn8Js1TyQFVZmj+vH0Wyxo2bdM0LLvmKChqvRCqHZ+4PwBhJBYrUEQbXhuoBC07MrvgXV4tU9xdyB4apuAQSl8tuwgNtfHv9YkGIQF6HvK08caEo1Gz3RZTeXSU5Kl3ocSP6DxVxgJZmSa7EUuRlR7tWoUZO9fDdvAsC6D2MAkndNk0CtbtpDsc0uPHuHJ8AG9DqbZTQkEuJRmblQTIJ8tazv8gWFbDdd+7cMaqM3UZoXRBDAje8+VkaTCYt11bKuVOAVbfyl4QtIOUJ2VQ5KSRoOxJDwD0ErQegukaoRQFbjEzQ9IAT0/1EZaHH+wtwbBH+ZZlGQwX8/MmWrb7kyQmBMAS+CuGzjHFQ3PVmjxj6GQM99lPOOmJF3yiSgXXCLXid6gkqU4Zl/nXaGkUOLKETVHxzkmcNtNtposQ3WRSq4q1dyhZKhAx7QHG0vlWHOv9wWDAQz+f0/KWZxKhOAYHg2ksnaUygV2QQ3pekNFDzWYsNuUfofy4CDxoaT+GWbZkOAwFisKkiMB/naTbByrl8SPgNXFhn94ffeK2WABbKROteY4c+s6igWNpZgDNUc0rrk8PptCLZXlqmez8yLic4Z5ze3qVfSUEcWrOfdxKfGi5qh/8cIiOcwYssX6TrG0kGCHZIptVhGk4dm6uuRkO+mGhWIH1415HwbVTZgFdqYEeEsyHRLuOevqJjM4nGLyeRdAjUwBScwlLiEyFMQfHCQbAgSX7MC1aGQ8+lTvaoFFbwnESiTNvq2IGABDJ/WhNu7BwsN8hIA2N+nGWHke+20nnczjBWLTeex8oPzl2oiGP3G5BrKotOc+2vCV3GAkrxGQHHRKcAlp82PJ/3p+6st2Suvef+p/MFyzhGHqDUl9YC1LxVMaknq1DbPEZ6PIech20qzRe+IsNuVFc11Kw88l85CX5Y8MZ7hFhTrK0iV7UisfpZhUc93nGbTuP2iAnHtiOS8Vl51DUg3eO1tI6lwlabP4DcSkgmXCCCtUhzNrWNRHx0rOSuYSxVmGWlUC742pz3f3VwnDApGaKowoveQWi4lRFpycx7QgIdnCV/wsJ99dXf++SrOVcBc4+++v/sqhKtXWOwqFcEAilx88QSmioGCK4acB1iENIdJIgqBGUynXgMsJm8LKNcZqKM9kdEWqEqJjmMlHydjre07E6E9Z8TyGA+/VzOEJqo/GJlhc8VALKtCxYAIKxUvpv/7xOJ7pgvct16M5pEUHC0EbmQa1en1MDxjsNyIldPBL+lDfoJ/Kkwz1/gq1Xx2fe7yG1F4TdEHG4kyMJUIX3rICFD+9Ai6rHvUA51KrFiwOkEvCVHZ7qplXDLU8FZonGYa4wL2GIbjnsgpUhjiXVWRyQS5xv75c8XI1YKSxZifPPLXn7xirDMSjk+Y1qFrSYb6mwWjK3qNsRk+QliV+Pb0yfhuh1uXCw9y4q1clzfRIS+Ms96qxhbBcVd5DiR42TbJUdMb2VHqTQUE14NfhnzeaRDlPFklw2JvioShNMtRgFJyIVB/2Q9781TGN8uiDfQlD/+Fy5hcfNEqDfsFNSLLazUxX/dTeoCg/0xf0AIj1clhKhac0UMSjG8SJJdZw0nhWnIEV9F5CMU8kXzLrImgEF0zBCBrBBfMxbOjvuspG4BzAesxxQZzENN9Y6h5m/voy941v25LvLIgoO2pkX/5+lcq+fIUphH28cKVU9XUt27fHVPD5hDMDBLyKRHKJnTxe5XtlIgQbn+pSvQ7BE+7t/U14RRPPu8v6gN/kQrtOrxqsidoQKyz7dwiYnty7pL/CVVeHMVzaJoRd3vc7lVHQNn0+RurOFvOSAfLe7vTYLP/L2IQ828NfPhu/hx7ePI+dcVA64SB/Tb2CTlBfjv4Fx3AHLjwDkAUCUeXn0XHh7GP05vnkXPPstIS0zVd0ZIGLRQ6xBslZ4rUNlBwtow/B3dGBDv6XHMY7mYzhg4n+iz8l/0305K9/osMLzjlPuFD0gizCg1Rkp2SyOTRGH6iIGhREC15R1IqKrElFtiCMYnhUhGdkwjnARilIKqK3GNHiSASQxs2pOGkD6t7jCzWnwxfHP6dHGy70l4mZHFJRdzC7CnTJtNIjTmAU2ZHeUzjS2zAns9lsrsOh3qBNkFnk7+GT28+5ffZdP1A+JeFTEj4lwUbY4lPfvouXhFS/rFbPYGo7Wq1Pu4je7yEHc7CvEzhfgHJjI1I6kw15ZQBOWJAOnWC0d5iE6R/uUagIwFH8Ghv4DRG52tPsrGPko8OlEI4qn9yaHrtWHoKIwQ7L1KIFAqAbWW+uHZ8tl/td4Flv7K11dKPX/I/LUfH53/bGOXoQDkjv+tX54UcxieWo+PyL876LIFyEXCEkJNCXFxxjBYO8PRx8vBhTU3vO78wwiTkxH81V5fJqdfs8TyQGI6hmncApXr+EIIDwWzkGDrhsX55uFy9fVvp4Pnmaj42pbY4X5tPL2DSen15eVgtw257/BI/Bc/fh3UkzlqNdFB3uVDVc72zPCm88Zx34ob+Nbta+p/rbrbO21fAQ2NYm3Nl25LkqeH4LdaF6lrNHJ6dpxl3owl1BOrPpTH0rri1H2JdkrmJZBLZx3hf6bPJoapPxajrRxsbMmo/ns6k5Xpma/jIznr6YKxPj3eTjXZuomlYwb95FjmeDl50JRiYO+FWQCPjaMgg1Wwk1REcXfkMz9fB/AAAA//8DAFBLAwQUAAYACAAAACEAOXMFxX4SAABMPwAAFAAAAHhsL3NoYXJlZFN0cmluZ3MueG1szFvbcttGtn1Xlf6hSw+n5BmKF1m+ZGJzQomSTFsXliiPK49NokkiBtEM0LDMecpnzLyeT8uXnLV3N0AQDcpKjmXH5TgkCHTv3te1L3j1z8+LSHxSSRrq+PVep9neEyqe6CCMZ6/33t+eHbzcE6mRcSAjHavXeyuV7v2zu7vzKk2NwLNx+npvbszyH61WOpmrhUybeqli/DLVyUIafE1mrXSZKBmkc6XMImodttvPWwsZxntiorPYvN47/AH7ZnH4a6ZO7JXOy+d73Vdp2H1lutfTaTgJZSRGKk5DE35Sr1qm+6pFv9J/CW4iWv6RLuUENGKzVCWf1F73NE7CyXyhYiPsI7iV/g7xT/pv8UlG2Ptor9V9NdGRTkQyG7/eO3N/6HJypvEs39dLQAJdm8pFGK3cw3ShxeuZbi8LQiOGcubowyYFjaY7BJN1vEk5ngkCUJtWL5+CPVH14q2K1HIOMXjHZwLGICU/VKfuUG38+cOHGlwOr29ue1e34ur6dnBy6vFx27YG2gBhdP7ojvWS3N3pTSYFo2rEWD7x42wtjBbvT0ciTKG2sUl0FKlAmHmis9lcSMEKH4lEzcLUJNLAosQy0US1gAHhTiUyKKZYZLCdufykcO9EQZ3tb4n6NQuh30roeKxlQjYosFAY0wdaYUxP0OoqwTOSlhUyM3OdhCku8OLYlDaSS2xNK9/NacUID+3uwGzZcErs+9rSs0aw1dgeU0q3G/yl44eBYondhWYOzknYnxxHSvwCAYTwKSyjlAQnAmkkboEDSk0q6IHQMjKMl5kRRi2WkTSqKXpRxGsW98oE7NWzGUkEMpLkBPB5vBL9UY90Bk4rwz0TjSVCGU8ULy905nYFpUZNWF30OApnjipezGDNlVjqMDYNlqvbFhQv5IoUQqYfsds0SyD1RISxdbuke+7UM2hSSnSkSzWhUxfHbIpvoBDbzPlvN6TupMfTUEVBoTElj3m9FFdyocR+OBW9JZg3Iek9qbrFPlaZGA2LU3+r/nacpWFMBvg+Do336yhbLGSyEnoqihuvlAq8Gy/UDOHnWKawfdKWoTVr2GV1w5O51qkS00QvRJDopQj0nef0bSjAin1onbfZMIMWTMQtJCta4iyLWTdSolKKcxh1ElNEq+48mIqVzgSpo/M65DZYr4lkKWbFo1AXuyipVCwQtHCuKPyoENbMXELdYUqRvJtmkRjzoe9CqD207fff/vNA8n7/7b/NKokj0kAc+wSimmkwvvb8/4+DfOEUxIcSb9ggQA78gCWHmeUfdRCTw01N3ZFuE/jxLYLsDQdVDvwMCcXQMOufl4AUcM68rXXYMmJTVYxbhJzB+SNW9IJP7DeGMk1VPIOdD0p2vo99nggc7Xhw2wf8SNOlTowY3YVLlXoyeFv2fazM7gj7hUGSuQ0HxYokJIQkz+5qz2JdK6TM/oy9H0Gwr3GUhgBhpOIcOk2WxOAj/JyCswZLYB4U9+ECWX1LghETBe2VY+i/x45+mE4iGS5U8gBQxehpAykSpPoToOpEx1MEp9jAGkKz2h4uv9aO27zw7g5FzXLUmMMZE1fhMCktgHmUQPQIsDpEANsHDnrigFBxEA5/jG10DEdCsYkhG6QEmeCzToJ1+CMXw5oFX5qHv4jADcIsRS9GTJpFqT4bQvDsmZyvYn9MtziHLAU9a0JkHEqMc6dPlpbS5hGCgI2HMWUlkbjTycfcFcBIEAh9ThTUszMn5MeHi7Whs6VzeNpAEG1JLCMcmOMtcEMSHCxlYkJlcYQGfJDWxukZxnKzRAEc40xjRd9BIdBFDgyIM+tlEJ2SmYzDlNnSYL7QTrQs/Ad5docALd+YWGasE5YFnz3QuDLhJBX7gCVPml8Gg19N2QHcs0ROVkz6jQIGGoek9c5iWQv+khZgsT4FjZmKVQK1KRvKMkuWCPWIy9B2iwvr7Iik6bIGB0nZHGZaA/lICLIh5vpOwdZY1wkzLuRHJWINnMaZbGysZEHHnUwSGVvWETD8GMZBAzpI94EQ4D/CmFBLpAl5AkHJgJMAtCcA6oIsGpS+hkCq+JSURZJYnKpgcbwkO9XyuZuCITDHLOggwHEKW9AZvAasAscAxAQBVjXh/3EYm76sRIDoT3UGhDgCGQRgY9BJCT3MB6TLydpUsvEvQHV0prGCCJA6xYFKzHq1wsrxFC36IxkNWfskygKIxV2m42ELSqUIimOpiTU9lClskpY2gABSdUA+ge4jk0qFouyBwDqDJ/AaDgYawPBBUWrG/J4k4SKEaWHbT0AIBXjftFCki2kWOTE6NwHvN+qBmd/OEOtjwEVhjt/TBkntITzyrVDlJfgVUqKW8/4ew/qR5JXfV9UJ+q2kdbArBBaoBm0CgZAHolgB3diMgiwXoklPpwiCZIwEvdKUnbZFGlYhoxU97iyb1IWMEHhxlpQ8XIpcDz9ZnEc5IuLiEnbDNu5Oa11ifhC9CFMyFVpOfYZG8xdED6Y2yBAhbGyEulNeWbFXcjilTZvr6lcpvRpwZktEeUmMjrJF/D8z86MHikx30PcUZaOIwAWfSjntz4CkenWFvexfUjkSCd/KQdLNOttZBrBHeWNLXJciJ1/yUsfr4+qlc0V+pnr1il1wCazltUfU9ThyUwoZIgevPljA8atsMd6+LgA9igSMjupvHOrUoCxbKf2Zbl9PMlbKGwVNJYdVpeD0M7BFzPTXS7Se0QPjCrLkmhmqwq+T50Z6yZXMHGjbAgmpkYVRNn1ztY1A4xmyahlRBXhlsTvKVsWSCdc1CAChPqMQFOKM0ZQNuUb9SA5SNWclHc4ruGG54FlSu69b/us0xGFDPG2Ioxwk2hILggaOYaONQHQwAIKMtVqw2ZilndbUV4oK7aMRDBNxKTQnSgs4uhDcFYm+c5GXQ2LhQlKqsViZOlmAgRSaqS6pXbYFsfN9a7nV+JTthXg2ypg2gqHYvZy2OAZC5oJ+Bz61PCW3ugiDAISzSwW4R3L8hOPlFTIGF+2tdlH8FkiNbXegwSvhMRgyg04URmlfeEr0J4AnzJ1CILDbFRqK1AEStFSxvtUI72trXLcH00TKnpgkDGYKhxv2bm5vBv3zU6As6QpHddXux9MeEMFUnYN/CEAFcaAtp7PBxG1RgO4H1DqpMM1BjuuXYPwYKMmWOKeoPkHYcBgqLYzbCynfxrZ3dw6ft9qH6Eh1fmjgC/7HX5+7Lwftw4ND/vL84EyND+gG8gKbRySfOEU3QN8xFqDcD4iQD9igOjBwPGIE/ZbFH2PUA/HbKm0t0ESY2xxRtNsFKwoy1vS02/bz7k673cJfIqPg2APaYPeR69p0pe0fXRbdM/QJIwUen+G/S/vxcjv8fDRdJ1HCVWqqH5HXduJxXhABCS2aMczw4x/ydX81bh8DioYp8szdnfPjG3D8/Tv6BwVxOPh3UMtAL74f8wkcsFHUcN3JJwAigLcm9yEjd9sEcAJBQCJM3dnyDqJKcRNh7zWw58BVgq0lDHxLKWM5kE/oUeBLUgduTqNKnSOQ3Z0LHcMnNsT7dxWUtQVDTRn7fOF4KSX/lFq6ym2a88NW5+tPmt/c8M/plHWNUKHi93DZMTmn4mpwdQ0Yg4S7THY9EXRvDQEP4g0jAmm73w1bO0NsXmSoFQfKoPtNiRpVeyGdConuKWAFR+J9jCq28PShwqcvgBfUehiAowpt0NRRaYx2ABUxCDVQZZqcCEAIjSBwzdHBjLXyPL5fHX3oDMVR/2x3hz7hQ32Q6N6vEKzvG07sO0VngTARRj/xv83s4/fzUbltMCUP0jq+c6tplBPWL6idyWc+vmQjAorJWJpwBtmvbOX+i/JG0lC2lm+pj0dHncOnR8+ev3gJ1PT3jW9HRwel346OROlbu/gM3LPP354IrCJe/tD+/kpQSORBilCS358LSFTmDfIkH0EpyfP8Jhoz5Hq4qsS+h4pHRT1g3bVpipAyi92dN9eiqBIAAfRMBBf7ftBHeru7c3wzRF82CYStP+D3kwG6idRr7OPLoHc8EsPBVcUVF9Q8iBnru78cNbooxHBYPM9Cbhv5xYstQ1+///a/YIOtOgToZSGQzyW6pi4VodIWO2jus+RzHbs79NiACm6UNXLh+jNqu1ySMBNMg6DKh7STW3YoGLuiGwUplCzyXgbuRuWLN8APCBm2jOlaktyVMXJs9xragoebDsGGiVqgQ8lZKrbhfr9Be8kWywN3IIxBoEdva39zVFS4EM3pKlrzqeKRIhwBSS7SEUSoBrXs6Tq3P3FBKDPh8iafdz0zkNnRGCy9PpsdzcBaE0kpdKVImhdsyzjBVXEsdMb9xBA0X1FOXyzNqmXRNJpPlc1xXjQOKOPfKFaQQtOmDsDZME+YwHEjL1EgwQIatJawT4e93FhGfZZUIrU8oQqC252WZusBBkwzGjBxrUqq63B/xM50YfQGMd/N2yTKdZ4rKKc7ot6LEqd2sxpttcl+Na2uLuPyoDV6A2av3nOS6BVwaPVyp81wXtxoia7QlU7u0HnHh5uO6PR61bu3XJZNal5yOeKnWRo2MTVSxN41Ue3DtnjZORTk3asLv7Hu2zvYhkzuYdNbrcQxTVR5U5HvR94pjtriAxRMpRFKVnxwOC7LHvJqJzdt0f75Z4+B9Zd/GfO2DnFM9JaD43y1B387tCf3iHy75TzvTq+qlB1fXJ+fj9qd9tGL570exCbaneo9h+JSJuglL8TIoJEM9bR5iaeRZRC4lp3lrXiL5uXSq1fbAkPnhxeeWAfOJJzk0joNX4sOAYV5uW2bp632UYu2If/c7uTfqkeAxEUNl97qeSz6124YdX20HtqOlbHZ7fgK4c1DE4/Syeje27H4q0wvj1DB5miybYD5X82nzRcVAW1p0qA+SNCEHWw+BIf6rNuAYxMFMReX6TY78cSdDLNaqoZY6CCDWduhEokIjNXQtZtrNJopBOS+H4GpqjSlgZVbrLX5c9482JB0adbhzzYPyrPm613rSrdfYbMtbEcRnWr8xB6a90TqgA46wxywgSrgqZIJOEk33KEkRHclGeoZAQJozPPGbnyYw2I+a9UU5X7CONSzRC7nGFG0ibrdMF/PbYFd45yC+63sa/C+PFv/bVlehtllLjEmpJKARRhldpBAFqgmbMwAktLXt2lzRN9ag3fhq7XpXukC/HsavwUpn8H3Pr5w8gN4OxWtsMeziLV4GnmHkbGmdU002OiweZFiFTmKA7/OIBi78wss+Sx/od4kz2/HxZLsv62m82BZ7tFpqtnNUlbecsFQXDihyvII836ea75kT36be3IPI1qn78E1dEpoNqjPhUEPFl57SPgD5cPIeDCcVF1rsFiE8F9UTPZ+QhbivXTTS1Ptxln9jafT6hp28o7nPbzbTzB6m5fa15jlhhMKwPX4gLmjvOfehLM53guYY6Y3H+G/RWL4oFDMMBFD7pg0niGqynT14LInDXr9wSjOYcMOntioQHVkyifzuUeeZ65p5T/Ou0t9NZU05rNBFg9x0gAnBrHwxhr3uK1kcl9QABXk6jxaZHGKKxogWVyClxQ78zH6WkvIN8fwI+YyNom4R2ug5CmmypZ1CjoySM24sehDnoDmKD17Q1XngYjNs7m8YbLW1JGhtwCyJdgJoOg9cDPyjnXlj9ccu/GhUnsCpaXqkx+G3m3Dk371LN2cxzSbhwHTspyrK/ZeeldGP3v7nly/qd52fnF97CUab0aXHjFX1x7Nb4b+0WouXWM6GZNmlrWeDEe9D7We6t7jDi5uPGoOqstcn5x75YbR4VH1ttHAO+vg0mMdLnmFCjeE7zxCdV16X6F6zb1dkr9y4SkZJgNr3n05RelFryh7aI3IW9OrorC7YrS+NK3lvz9puhjHx3t2E++Vmn+FBktto6VcTq3SaV8YWr/OVf2dvD2GBqdcV3JTp+spb09Tby96I67UehIsTbj5SmKntezrRGjywvl6FuoqyzX059P0+fHFfkxzXJ/QkuGX6PLiHPquPEPAw4/0itLSbmjw/pL3zsj+6WeV0BRwPGvBeG3S8cTN1iYU47zoVylMewrDw2gQE6qhkZlPEHE8pSkK2Vu0bfujedm7+uANKpuUSnk87wsv2S+H+i0zepfycz1eusBstLjVUENPQvRLjzrH+evG632u3l9ceDp0fNL3Kkk9XDys3nmsx2K0wGS6d2iNCUaAkLrfTvASDWL9O1Taq48dPm112qj1vPQci+tPrgk/u/FqZxj2RJSmV1494dE4rHdMFCSfvXjhxmNKKz87ev7MI+Btv9N+hmKbtyu9E5T89BGnaQK+eJtUK5wtvA3f/T8AAAD//wMAUEsDBBQABgAIAAAAIQAAz3yg8QAAAF0CAAAjAAAAeGwvd29ya3NoZWV0cy9fcmVscy9zaGVldDQueG1sLnJlbHOsks9KAzEQh++C7xDmbrJdRUSa7aUIvWp9gJjM7gY3f8jEat/eKYK6peKlt8z8yDcfwyxXH2ESOyzkU9SwkA0IjDY5HwcNz9uHqzsQVE10ZkoRNeyRYNVdXiwfcTKVP9HoMwmmRNIw1prvlSI7YjAkU8bISZ9KMJXLMqhs7KsZULVNc6vKbwZ0M6bYOA1l465BbPeZJ//PTn3vLa6TfQsY64kRyqZwiIiZpgxYNUj53Wwlu4I6rdGeU2MXpnUx77zjmYj76pH6yVvJ77+cFud0ysXHiuUJa2Wv+YaOMnVU38gXHw+SanYU3ScAAAD//wMAUEsDBBQABgAIAAAAIQBJQ0jS2wAAANABAAAjAAAAeGwvd29ya3NoZWV0cy9fcmVscy9zaGVldDUueG1sLnJlbHOskc1KAzEQgO+C7xDmbrJdUESa7UWEXrU+QExmd0N3JyEzrfbtjYeCWwpevM0P8803zHrzNU/qiIVjIgsr3YBC8ilEGiy8717uHkGxOApuSoQWTsiw6W5v1q84OalDPMbMqlKILYwi+ckY9iPOjnXKSLXTpzI7qWkZTHZ+7wY0bdM8mPKbAd2CqbbBQtmGFtTulOvmv9mp76PH5+QPM5JcWWFCcZ/1sop0ZUCxoPW5xueg1VUZzHWb1X/a5BJJsLyhSJXihdVFz1zk9/oj0o+kWfyh+wYAAP//AwBQSwMEFAAGAAgAAAAhAEDWuqdiAgAAfQQAABgAAAB4bC9kcmF3aW5ncy9kcmF3aW5nMS54bWycVF1r2zAUfR/sPwi9O/6I4jSmTomTeBTKVsb2PFRZjsVsyUhqmlL633slxSnbYIwlDznWla7OPec41zenoUdHro1QssTpLMGIS6YaIQ8l/v6tjq4wMpbKhvZK8hI/c4Nv1h8/XJ8aXTyZnUbQQJoCHkvcWTsWcWxYxwdqZmrkEqqt0gO18KgPcaPpE7Qe+jhLkjw2o+a0MR3ndhcq+NyP/ke3gQqJ154ZcN3yvt9I1ikdllqthoCY6tfJdewmcNAfAPClbdfZnKwW6aXmlnxZq6fpiIPTmqun2TJJzu2g5o/43u8X8pNF7FTifEESssKIPZd4QVL44Dj0GgULQB7vBbs/U2afj/caiabEGUaSDqA/VO2j5ijFqOGGgehbuFT+uFMHNRvlAeanBdx3Z+wZoUctSvxS11m12NckqgFFJKlIVO3JKqqz+dU+W9bbbJ6/utNpXjBwxUIgbpvJjTT/w49BMK2Mau2MqSFWbSsYn/wFd1MSez88/ReSZ/DdplGVVsuIrJZVVG1WSbSvrvJtnZKa1ItXJ0bs2U+/fopglJPibBXAoBEtQLc7xX4aJNW2o/LAN2bkzEKSfTNv8WW7b/SLwA+9GGvRQwZo4fB53H+Kcph4p9jjwKUNeda898KZTowGI13w4YGDffq2AcMYvEgWPBy1kNbxo4WxmlvWOdgCj6/APYhwKXjS7zzdRGZ0UtDi1GpINC2ACYJ0hexiBOEKmQxX/D18oPfUZtTGfuJqQA4AZ+Di00SPYENgNW0Bf96JeHgJMOsFyLGjlrojbtdv76Jfc/8c6zcAAAD//wMAUEsDBAoAAAAAAAAAIQCuJudwhwUAAIcFAAATAAAAeGwvbWVkaWEvaW1hZ2UxLnBuZ4lQTkcNChoKAAAADUlIRFIAAABIAAAAQAgGAAAAub4xKgAAABl0RVh0U29mdHdhcmUAQWRvYmUgSW1hZ2VSZWFkeXHJZTwAAAUpSURBVHja7FvrcdswDJZz+V9lgqobeIOoE1QbVJmgzgRRJ3A6gbKB0glkTyBvQHcCuhO4VAPlYAQkQcmvs4U7nR2ZIkEABD4AShSNNNJII52OJqdmYLvdJuYjsfy8nkwm66vWkBFQvrVTfvUmbIQQOwQUj4f8TUg1I5zqHHi7ORMZ/RbeuxqLmVJHzVhQ4nrmGo6UNldprgzuNUg4DdzLYEw7tr5mn6O3fqqv2QedbbS63QfAM2BucaaWmh4dcAJuqYj5qxAnyhyxmhwzzY0JCQLA0w5sOAquAqfJkZYygDavOi2TDanOAtD9OkCBNp9WnhL1fkgNYHwKV0KEnBONU5qSdKQksKCbNw5IXQ6LzoEhFxWEUarJuWXeOTOXdKwmwi48PKb7shRO84nEgjyCzJn1FDNOBSa2qdCCEokluoSTMZovPXnTjg9inPiWgkDP8fpwzBgwyeZuHh9UO3yp7kCrM3T7jg8w0DCTTwVC/E+C48UeMymQBKFTITVIgYXEwjgBuR7UjOZnFkcZYkHKMVaFWhDjJmaMJWqJH5WWHVjND3DmufB42aLZYOcbktLQVGPpmHcjruO+IesH5qdn89sL+jsTTJehedtnn5kxD4Fo3rWX5SAfFJqOcNEwICSz6/rmFfDVzwc58Et5IFyVCwSUH2jt0oWn3q3WhoPMx/TQiR6soxzZfHsUvpj1Nwda/z3hNrQ61DpDmcwcuCo7N0YbxNz8WF0F8CklRNEavidHWjuGvWqElzKpFptA4cZnoOiY3aR9vA1bZVKwlgsYUhStnlg4XSklHhAkFMZBLnP2mXqGxrSO/ZT9rAoFl0SAs5z7bgW8j5r0d/J3eoqWMayZengLojaqdTXpFZI8JR9C5SD+N3O9+PyW+fgh5PWXYfbVM+abkDe6tyfLb6vIk/2KAKIkyezhIPsECtUnf7SUkPWHGjuE2jmE2Up6TPoyJqjdhNa5hygqhz3XIINEynxuK316NNB40LM0809dzwqssfTwPoc9iquJMZLmTtEK7ifCBLdyrFExGy98SSpgLd+83sQT+M2ZYl3lFZYFMBaIgZkwO87Br6XMSwhdzendlAmW2sEw6Oh/qNWgrH7KYJrCwusMlWcLJ0AUaiJHVlI7Sg8N2SC7KDN/DYzWnns7lskosyHfbSWWbs6EEWolOWYJcZwF8TOxoIlo9UnCGpCkraSEz5SWvl5JeNHi/I88qCytnTxkZx4BacYCtEdAIWTjWfmO5I0FQbaD1xY4fi9MQVqg9dVcFOCtSb3n0ax3Zz5/EmDY3nsk5VFal3qFNVbClOLecn8Ne+5d7dNIo5pYQg1jG1uLlxTqU0urqLBYCgaxqWXOmPFHOfI3M9LN0MRC+6VGyAQ1ggAaRY7aAvoaT8dDM62Y0oZfkJBSAQ7SRDk1CiS6C+WIVxX1JaLVOe43oZIl2wT0FfI9iFxbBJsIkPScKatGuH9H8E8xREBxSO+p78ISoBiqSI8F7+9tD4JbtOtFKSbiFYL5Z47oM+shXOUYS5Py4bUrBpCxxXQHJlKwiRQsEreERdk8bnGj5wsHFiot+9BBqDkS/jML+ISYCePty96fSFXxXGgNMOAv1Iqo5W8ASuxFQK1G8uiy6MUI6ME3SFpyXUaXR6J/dZBaUHu89IUJ6E7SSRVZEEy0uCDhLKRt5pAXyZeCIriv4N86zj8DN/eZBITY0XAY7DJuAzf7RDa+RBFtA9Z2UktDYBYL7p50ORbRSCONNNJII4000khO+ifAAJwHxKBSMrYPAAAAAElFTkSuQmCCUEsDBBQABgAIAAAAIQCpYGumWAEAACAEAAAjAAAAeGwvd29ya3NoZWV0cy9fcmVscy9zaGVldDEueG1sLnJlbHPkk8FOAjEQhu8mvsOm924BjTGGhYuacPCi+ABDO9ttWNqm0xV4e2cFgxCNMeHmrdNp/5n5/nY83aza4g0TueArMSwHokCvg3HeVuJ1/ihvRUEZvIE2eKzEFklMJ5cX42dsIfMlalykglU8VaLJOd4pRbrBFVAZInrO1CGtIHOYrIqgl2BRjQaDG5W+aojJkWYxM5VIM3Mlivk2cuXftUNdO433QXcr9PmbEiom5zOmF8yZBySWhmQxV6IsT3On8bBcOC/U902Oztlkw+Om1vnlob1+dmKwToeeYtktFUOVvATvaOeDsp0zKHOQBjLImEJG3Tt0SOQGpUWPCdrTQzKh7XaOSmtiUi2s666VCyBHsi/GghqJmJuiiNqxhoaMNqTth5j6bPcpGLbrYcOgPbQ/IRv+L2R/g3N9TjgmwZpdO3rs+z1S+8Ww5H/aW6WO/vXkHQAA//8DAFBLAwQUAAYACAAAACEALyzzyL4AAAAkAQAAIwAAAHhsL2RyYXdpbmdzL19yZWxzL2RyYXdpbmcxLnhtbC5yZWxzhI9BagMxDEX3hd7BaF9rpotQyniyKYFsS3IAYWs8pmPZ2E5Ibl9DNw0UutT//PfQtL/FTV251JDEwKgHUCw2uSDewPl0eHkDVRuJoy0JG7hzhf38/DR98katj+oaclWdItXA2lp+R6x25UhVp8zSmyWVSK2fxWMm+0We8XUYdlh+M2B+YKqjM1CObgR1uudu/p+dliVY/kj2ElnaHwoMsbs7kIrnZkBrjOwC/eSjzuIB5wkffpu/AQAA//8DAFBLAwQUAAYACAAAACEAAZtv37cEAACwJwAAGwAAAHhsL2RyYXdpbmdzL3ZtbERyYXdpbmcxLnZtbOya34+jNhDH3yv1f7C4h31JGptfATaJdN3q3nqV2kp9qE4nAs7Gt4AjcLLs/fWdsYGEU1K1JXlIxSqbENsMtvkw+XrGizrPCPwXVXRYWvuyiKpky/O4muYiKWUlN2qayDw65Jn1/XdNS/l3LeVmIxIemY/jOfU/OIfXCc+sFVxnIaNqG+94Fr/JvSKHiNdqafFUKF2N9SLN412vhqSxipeWa820iVnPxmpxMCbV244TkS6tzzWFv8/KprZFEinLtBJf+dKymU/pRL9bBGzs4MrYBrpFdrHaLq18kpn60rTNzEfNm87BlVQpXzj5IkVRqbcMrOZC8dL0jEBX0BB5LuNU8ELpocqXpaXwgoksCp4o7OfSKuGoHc/JALrRnI6kcmkYWMSc+K43PNOJh52shBKyiOJ1JbO94o84qDwun0UxzfhGRaHzg7dTj02RkruIPr6KVG0jm4a6asvF81ZFNptDu69TUaS8jpg2dBCVWItMqLdoK9KUF495JaevZbyb6g5ECk99IBuRZYnMZLm0RLGRP8bJy3Mp90VK/gzoJz3RZgKbRoUsOFSxTzg9MKNc5TKFyYn3SnZTjkbhNoJV+7xZTQXOPUx3Kl+JLPSEn7nGukr2JQdEmqnvbtg3Nwf7dbylChhdy5o0c41DTwXeP5jwaZypCLv7gGgSskjFoW2I50G9eC4ivAUPq8UManW7xewQNWbN9zp6ypCYn4B08sv6C1j/XXPyUaqGPrKoo5/lgf8h1PaJZ1llxo3FvwHfZ4rfF8lWlqZjhE0IsyeE6hccuC4UOPC5mNXRaUuw9x4G9AGmffUhziquG7QlZpR19Kt8XVGswYO28AnYywtT3hxjFTY7Ds88ww3zF3kPB/Juu4bqc8DP56fAs8B8bZG37xD5kfVvWbdtQzq8exMS+gA7PAH+9WFnmm4D/n+DnVE6EHaH2ed9Owvtnm+n4Ylvd0bf3jrhO/ft4M49INwQD7j7iDsUshs4d/sKvLOhvHsXnTtzjdBp1Axz6Anx7uja713GgGJxOhmDqIOMmSPt1/fszhVIhxXIINnuOvSSbmd+T7czLzgh3RtJv3fSAWy/0zDg0EMoCCckuD7o+ldikF5n1BkIukf9CxLG60kYuJJ+IFq17o+g3zvo6MWDVr2AL/eMZmc3IN27gkt3h5IeBpdcethbmAZ+j/T5SPq9k45evBMvqFogHkkwDnODdak2OdCpewNRDwJ2Ub3Y7unKNDAyp/Xqwcj6vbMOUqVDHY4ZunhA/QZOXZscSLo/kHRGbXZBv9i4Am2WowHG4FvIwxHyuw+qg//uKGfwhfkYWr9N5CW8gniZD+WceRd0etCT6f7pYpTRkfT/A+ksOLKOwXSQMxCOuUXohenU0kCfPjRlymxmNMqZHBLzjGBpw4whBuC7pOk9Zk3HFFI/hQSAO+DITQQGE6U2BtR1FvUGSaRrZJGGpkyZHTgXNIzvHjUM8/v5UjYmTO9/c4BOFnW0A/eYT0JBox3xdbcHmB+MYc6dDQ2sMypgF4vZIHO6G6YfgglR7HRu/bYJ03dhCE/wFffBjB6959Ex3nJMHcFqlFFgHIKPN1iSzv+NVJ/BNr3VXwAAAP//AwBQSwMEFAAGAAgAAAAhAC8s88i+AAAAJAEAACMAAAB4bC9kcmF3aW5ncy9fcmVscy9kcmF3aW5nMi54bWwucmVsc4SPQWoDMQxF94XewWhfa6aLUMp4simBbEtyAGFrPKZj2dhOSG5fQzcNFLrU//z30LS/xU1dudSQxMCoB1AsNrkg3sD5dHh5A1UbiaMtCRu4c4X9/Pw0ffJGrY/qGnJVnSLVwNpafkesduVIVafM0psllUitn8VjJvtFnvF1GHZYfjNgfmCqozNQjm4Edbrnbv6fnZYlWP5I9hJZ2h8KDLG7O5CK52ZAa4zsAv3ko87iAecJH36bvwEAAP//AwBQSwMEFAAGAAgAAAAhAD2GTBWjAgAAnwcAABsAAAB4bC9kcmF3aW5ncy92bWxEcmF3aW5nMi52bWzsld9v0zAQx9+R+B8s89CXliZpOzYvqTSGeAMkQOIBTZMbu403xxfFbpbur+dsp12HBkJiT4hKaey789f341M172tN8DGWdQXdtobZspI1t5NalS1YWLtJCTXrak1fvhgi4XeRsF6rUrL4ejjT/8EZ2ZdS0yXekwOzFW+k5jvYOtIx2buCSqFccHu/EjVvHnmI4I4XdEGnQWL6SGOZd1HS7RpJlCjodZ/g59plSUZJCdAKq+5lQbP0JEnG4ZsS1GjwZh+DaZGGu6qg9VhHfxtjdXz1ckgOb3It3EpyA8pYt9OoWisn25gZwVS8ENm0XChpXCgVbgvq/IUlGCNL5/MsaIurfT1HBRyqOa7ELtJ5Qkk8+OpReTGJUQNWOQWG8ZUFvXXy3BdV83ajzETLtWNZtni9aNz5YHPQsNNZioY7JVzF8ILgrqTaVI6lyRm67ifKCNmzNKh1yqqV0srtWKWEkOa8tjC5a3kzCVkw54+OyFppXYKGtqDKrOEtL283LWyNIN9Pk6vQ7djFIciAkehKr3yPsK3S1SCwQ3zr4NB3L4qzRNXsadmAhh8A9lzAXYwt6LH4ypbbViIgQ+MP4/ppNP7Mw0AdErqCngyd9jUL5aeH7Z5w7ZjPc+TBJCQXqtsH+nPoVxvD/ABGy3yK3hCXTzs2yMZ9zy615+Udck4+rW5Q/Wug5CO4gT2S9+wDdPKbctWl1NrGgr35C9L9hPnClBW0MTEyG5NkTDJ85tmYLMZkdoLbOW5P8mnPjmNR8QJLeo8dX77n2soQsLfEOnv2Ge6WWeZdfrW3XiJ8tVmm3j6svStsDxXGH/EA/S+Bnz0/8NnpPEC+R352jPyb+RHx2X/i/w3iz5DywPsc0U9T3P0F72nyHLxP8V95+QMAAP//AwBQSwMEFAAGAAgAAAAhANyrvzNnAgAAfQQAABgAAAB4bC9kcmF3aW5ncy9kcmF3aW5nMi54bWycVF1vmzAUfZ+0/2D5nQAOIQkKqcgHU6Vqq6bteXKNCdbARrbzUVX97702IdU2aZr2xMHXvj73nAOru0vXohPXRiiZ43gSYcQlU5WQhxx//1YGC4yMpbKirZI8x8/c4Lv1xw+rS6Wzs9lpBA2kyeA1x421fRaGhjW8o2aiei6hWivdUQuv+hBWmp6hddeGJIrS0PSa08o0nNvdUMHXfvQ/unVUSLz2zIDrlrdtIVmj9LBUa9UNiKl2Ha1CN4GD/gCAL3W9JtNkOYtvNbfky1qdxyMOjmuuHpN5FF3bQc0f8b3fL+QXi9glx2kyT5dLjNhzjmfJksxnOBx69YINQJ4eBXu8UmafT48aiSrHBCNJO9AfqvaoOYoxqrhhIPoWLpU/HtRBTXp5gPlpBvc9GHtF6KhFjl/Kkmxm+zIJSkBBEm2SYLNPlkFJpos9mZdbMk1f3ek4zRi4YiEQ99XoRpz+4UcnmFZG1XbCVBequhaMj/6Cu3ESej88/ReSkGK/K5ZBERVwezktgsV0sQ1IGsczEm3nRTx9dWKEnv349FMMRjkprlYBHDSiGej2oNhPg6TaNlQeeGF6ziwk2TfzFt+2+0a/CPzUir4ULWSAZg5fx/2nKA8T7xQ7dlzaIc+at14404jeYKQz3j1xsE/fV2AYgw/Jgoe9FtI6fjQzVnPLGgdr4PEVuA8i3Aqe9DtPN5HpnRQ0u9QaEk0zYIIgXWBkTFKMIFwxYOLD5eX8S/hA77FNr439xFWHHADOwMWniZ7AhoHVuAX8eSfi4S3ArBUgx45a6o64Xb99i37N/TnWbwAAAP//AwBQSwMEFAAGAAgAAAAhACkD7WZDAQAArgIAACIAAAB4bC9leHRlcm5hbExpbmtzL2V4dGVybmFsTGluazEueG1sjJJda8IwFIbvB/sPIfea1o0xi60w3EAYu9n2A47pqQ3miyRK/fdLW3VKFbzL+cjzvucks3mjJNmh88LonKbjhBLU3JRCr3P6+/MxeqXEB9AlSKMxp3v0dF48PsywCeg0yE+hNyRCtM9pHYLNGPO8RgV+bCzqWKmMUxBi6NbMW4dQ+hoxKMkmSfLCFAhNe0Km+D0QBW6ztSNulIUgVkKKsO9YlCieLdfaOFjJaLZJn4/keBygleDOeFOFcUQxU1WC49DhlE17j8Vp5jdjDjNn7h7DPXph+FahDv3YDmU0b7SvhfWUuEyUOXXLMqXFrNvPFyj0Z2eyA5nT9waUlUjZoLKAAFfS3xhCfEx/rdQ+w6QtsIFiS4tXDyptRLqeZXSZnFiX+fRGvpPobl/2P/1Ln+TY8V+1O47Gzr9Z8QcAAP//AwBQSwMEFAAGAAgAAAAhACkD7WZDAQAArgIAACIAAAB4bC9leHRlcm5hbExpbmtzL2V4dGVybmFsTGluazIueG1sjJJda8IwFIbvB/sPIfea1o0xi60w3EAYu9n2A47pqQ3miyRK/fdLW3VKFbzL+cjzvucks3mjJNmh88LonKbjhBLU3JRCr3P6+/MxeqXEB9AlSKMxp3v0dF48PsywCeg0yE+hNyRCtM9pHYLNGPO8RgV+bCzqWKmMUxBi6NbMW4dQ+hoxKMkmSfLCFAhNe0Km+D0QBW6ztSNulIUgVkKKsO9YlCieLdfaOFjJaLZJn4/keBygleDOeFOFcUQxU1WC49DhlE17j8Vp5jdjDjNn7h7DPXph+FahDv3YDmU0b7SvhfWUuEyUOXXLMqXFrNvPFyj0Z2eyA5nT9waUlUjZoLKAAFfS3xhCfEx/rdQ+w6QtsIFiS4tXDyptRLqeZXSZnFiX+fRGvpPobl/2P/1Ln+TY8V+1O47Gzr9Z8QcAAP//AwBQSwMEFAAGAAgAAAAhAJAADbCmAQAA3QIAAA8AAAB4bC9tZXRhZGF0YS54bWxkUUtPGzEQvlfiP1i+b7whFEK0uygC5UQlVCjq1bHHiVW/ZHtpVlX/e2e9hAY42eMZf/M9mpuDNeQFYtLetXQ+qykBJ7zUbtfSH0+baklJytxJbryDlg6Q6E139qWxkLnkmRMEcKml+5zDirEk9mB5mvkADjvKR8szlnHHUojAZdoDZGvYeV1fMsu1oxPC6iD5JxSrRfTJqzwT3jKvlBbwCWd+xeTgOM7yGPlAuzduT0OARITvXUZtHxoEv6Cgn/d364fvlFjtHvsQfMwgn9/8QJY1WiJ8GEYEEnjKsDbmf/HMTQ+oH5sW4g4R8ZaC0XmjYyp7SfS/b7153Gs11cIAj5vJmjJfHm69teDyhMVT0rsxkXE5RDHhCjDmGxo/vrOuYccQitCuUX3uI4wDJZn3Ak9s2P7qGjjk+5TLSfqoW/pnK7fbpZCiUnwO1cX1JVR8+fWqWoiFWtSiPr8Wi79oIga1ejV8PRr+EDHsmDVare6mIApvhZoNDwlkS+tCF3ci6eNmNtJg7zl3zVFiUfCBcxRkMvDliFggTr+cmNL9AwAA//8DAFBLAwQUAAYACAAAACEALA1xOUgOAAAEHQAAJwAAAHhsL3ByaW50ZXJTZXR0aW5ncy9wcmludGVyU2V0dGluZ3MxLmJpbuxYB1BTW7c+III0QakqTRGw0EKTKkISikISQ9AgkRBjBCQktIhEqgI2ICoqCEpTaUJEQUJHRZo0C9KCIgICQQlFmij8B7z/vPvfe+e9e+fNvJk3w96z915nr/Wtvc7K2meylhVABchgpwIBgDfgC3gAFMAf+PuNh28Nfw+wQw66FCbAAwgCicJ6644DPIAYgOXlAXjBeQ34ZAHoAUrADkAHgADaIHUaHDqAEbAHXL3AvvMfnAiA+n41PnDhBcfy8xLY/qgEZotw3AZc4B3gg8nw0G3TxH8n8G8d/96S/tsW8AJ8wNp/ZO+q8P8PD/wxJv47qy+Agedgj9m/LCMOnObFAiTw9lBXItsaQAEwMLJRABSwAwxA6hCgC2iC0a4J3gMDMO41V4Y2iEXDHWB2doAjxcOX5LdMYX1PY3xpJEygN8mKSvGHkZHe/h5UCoDBWOFhyMMIO6QFDG/hgMegHeEYJxR8GQA/7kbCUJdnAA6zhuMxSPzKirSyAqBUMtXXnnqcBNhTKdRlaRsC+YQ/lUICsGgsHoFE21vY4W0wABaORmLx+5GWeAc4xhGFt4Rb2yIAqOWfGHAE7L+2YUjoHyWXt36p+A9JlAVo2V+q/h3nzwgrW4Stg80fz1iB/Mb6kz1/DVk2668Qy2/814jfcX47A+nrQaL4E1Z+EBQSjUFb2GKWPUwm+JMAJAKA0bzJpNPAITgaYwu1sAPQJD8qmbYiDpIG2tqnwQGgCN4kXwcPOgmw0Pvf3gyYDABAEGjscuyKgPTfbeZ50BNC4JfzurA4COEBBJSOSkWsWUbbO0CtltcA4V+61H9TuYaHZ+VLawSGLXoFwwM0QP/zPC0tRwqR6uUNxrIf6bgGjOBP0NICRo7M3JYXboBCD9TgxLwl3aRCWTJKfdQ02IhqhDCL59hcXFnPINI5ytYyvGhDf+TBnGOiWzXqUwBb8ptTO7xuIazvXEW8G0ltP0V+wnHaEcrL535ZQ1cjtS22/VK94RHPTB3MoyJ5+bZZt1kKlxLfU1R2hjrUPDvGDi6rCu5d+LBQGVCix1LnYh1LldfZNGvsKdJnbe/ezztHkHvKvpul9TrDfc4pPP3w7vxsC6N1/pE6yNLq+51NMoEKDZCrVJX5yzvin+5fm3Au9dvLhlgG0Y9VPxtX3ry9l3iNlTSwYDfZAavUFk2iJnwPEJp5sC+fwW80SyodI4z6uY30BGAVpMKOoCp3/4QPdgYhBzJGOk13+V74rkg0yU1LrrtfFqVp1MBYp/5OMU39ml9ZvXTmMA442cSo82yM9uSi57qRrfc6rALVtZ8eHnxsVEtCjn52fNSV15s80L8NX7uws0oqcNPWYHmSnO1gwJuACNdFlwFH/8WH28yRk1XzeZuzhh77x78ePLwWS1ETSNCcvC9uIMVTStt3S8pGbN+5+j3NTz9LX788vJexlq+6n25yb7dCGxtKX0jcEbp0krwo/nEWIcvNY6fVzP2ICDoU02oreSnNLAoxoys9ZIrle+kwublb36ndWCsAf402+10sdFYo0qVI8pDlHnKkgmyYeJA0Oy9f4cgjqsS3tJ6YCtFX63xMr2/KRfNdTlvT3SeNstx/8pQKtmcDzjHHP7++Jd+yQzZsRxA/7bpzjcf+Bg86rDJpoDmIILqXtPdFqkJivgozcvCC0iWviFY4KpkhFzmaHwrZ5nXe02mjjZ/vmHj4SVTlLoZxxuuPl3pQ8DXqk8EDguYygcLTKajO27VtDi7X/QJel1Tt9FCuVJ70bMPLSbplr/PFk6UNdGEudr42A/DtrcIZFZRb9c5ZS9bfzU4d6I3s6vwiERiWzMIPNLaF7htYuma6XafZeDChvt92L7OXu3YkySZY7WxpfMrNlsi2+QPycg1uMIrqvNRVZ9vFG4s626vcegaCocXqbvF2NVYa1w7WdqZhpAUjuugm1i0aqX7v4B5iDyVK7nwnblOzib38A6VvkLfNPOynisXF2AVpDjRCOXyre6jsx3M7RxcdTp1UeoPdVNY3/ibJhDmUWrnlWA1Qhoq0Ykr1v2CYHJQKVolwkYCbZ8M9wiryBIP38m2ZyOKnZsvO6GY8GT7ZJ4KjGWs+syw+Zir245n++vVPDxjijhfkiOB8aqUs9GJ2noEHVesrRLmqn0isvQgU2BVTzm6B8EakqugnT1x/z9He/MK0dg/Pest5WVdygYbPplOeMHLU+0/JC04qclEyBwAEAsjS79NhZxuQMg3P3FHsx66pHpdGECYfXRA8bHIi1aXJ9Oiri11uMZSCbkmram7582K+WF641sxPkaqHSMLFhYgaO0HD2gQXC8XLDHetqZ7caX8KM8LNKDeO2+H8vYLAcheKgwiUF7JPngYWI/rnrHFFLil9sx6mIz7kjy7mtRPrTYsYAnOfj4epSjDXyxGUP3eM+LgcC+mJ76SLmQpA6SHlBmrmIUKVzx+8cMEKBKQXWjHkD1p9IbX0xNZ5XfA06lYnPJcanE7dwIJluC3ATcaVetM7u6/04a1uy6TofCrHz0MALahY96hXE1Tqguej2Aei1nliYpvhzzsu7O4vXLJ2zairt3qmGz0q2gRNU8exiF+6XcN3fTbaFfY6X+Y7JGRD0X7QskJHNbbn3UoZoZEzwmtSXKeF+mQ7BQ5GZ4/6yLkler8Pax2rde9lXGifyN2OEy1X2+/MbNclS/SJszn2txl+dsU61sz1KV+17KPMvkwN+cibVUd4ro39dPIbU6Hw5lV55Yxi7pPzzZHK3gdTGAclmBnRJUPmok995oAOPDedq6XT9/gI8oV/7vTepjoL0w/V5cGCxFGaKi6Kqi/54kiYExcxZ9JSJyzLlTkxF0xvkeLt+nm6PNJoQY6pxrEr3pZ9lD+v6If1jLZCxOgXybAkL299KaBj6rRIeq9fk+Iz7qgdRGPMo1Bgx7m4V1EhS+tqLyGHRy+mKDFrErZCZaf3+ORmGhY5MeavRl+KPHwj3Ndw7W5vTRdLnL4qLo+8yRM3nSFPua58Z6F410c9Il1o6lWPCA6yBccv7QSxMstZZxfZ+1RPri5GVi2HtrQN17ihIcgMge2/7JOHHtcvGfNy9OZ3sa7qPQshhwt2qG14pjozr4n1PJcbuzvb6gdNpktsPFUOZjR5QBV3yJDj0D6xV8wsXICQLttuxMv012TQY3P5GF+MT6B7My0sRhNqjGhN91zqIs62Q+oG2yBxdHkJoSN1cikOdXaJHF+0+VbJkA6I2gDIyQj22hxfRWvSMX08RXzjuxddy6c4RQxEhBTWvkucNAydJMJBupoEW28+SVRR6Jp298RpRDdW0f3tEWbGDbQmxIu3F4dLfYJtih8fvvTRx4xuC+5nd9xNS50ehi2LjL5TGB6S39O1y6viSo2QSbiZ1Q1SjOf08A2j6eF72WNJsfiQjruHh9ruxpVzbT6KFB4JiDTyo5vFHqLZlc3bTDRWGZ9Qyoy91ZRDtLTgJNz15SQ0RBurSmbFGhmD24W5xLOttCbI8guT5CWCmEREUzZxI1NlmLtF/KDYvnBOQpwfJ8GWmQR7pbph0TnTsg2S+elqxcMnsRIEhT3jXnjnGwUPn9TeKHm7ljH7xG+inrmgWjJm8lRZYG3OAtq1+YP5WF+prbnbkEK0xNbozZNmKaH3XqXIxEZqKRWqLd1OMOk7NlFRkO+2UednpKuugBBvRwPP3cvQr/yyx/Pfl/cMf/qY0asJjD/U2bVErdktUBJm3dJ5VkfDhj6Rv5mjxKlISpNpFA7ZwDn68tXlz/EIFFdxE/3qj+dmnJ+60IeaWhWZ1c/TWYJ5+bcy+e5HaZYz5L+KCrPGt78MfVSkpd5Ti69+ZTj9+X6AkvrtkZu7T38rfeh6Py0//07y+yw5EWH2SJfTLArbiWhtObP+fOTXb58M6NUEgkkFfUuF8vLKv6XiLqHvlFwJ4nZA0qTcLJHQ90XbdKP9mwj2uBOLmDB2zgTVeMWjYFeSQOB5TWwre51dUuI4OmRj85hF44MCj0uqppM3bvk/Ub1tjjCLOfm8cZyDKGxyTaa/1SOMDnW91U/0NmmdCOxh9pM+3mDhclTLo+Ohj79+HZJ9NHMpcTDRuxvvHnT8h8nBVkRAqSrZrHLmu1Si9+KMZGh2W8TX2tZuhrfgA8Ghh6wYoiNWQqHBXLdX2qFQlTwbcsrwgV7fj2k+tyeq5Jm4PBxmNIo9nhPSNqoLj8XMwyQQ3goKsA9XOjJCKlXJH9rzSE2H24/mCA4VaHaeeCm9PyF+E77u3fRQ6JHp+FZR8w6J58nWmKHsZq/vaRxTkZLFvPMc04hS+8zJp1fwqPlxfxeaQvr7jLc5bz24e9PxQXwilJjXgtbEvhg30xxj5DTl7SZr2fJH1cI5U5JfDeTRd6jCPRnVOVMaUWy9XONeZrE9qN1ZkTWSxQnaMmgg73CH2tCT4eY4xDZhjbBBuRT2N413gSXPvLqzjXt1yuy1shGsPWNu+fHmvPysxy/jcqa+RrILrWmVtICkmZyWRoDyVjdn6tpZtj+KVmlPS4rCDKlsZHnEc4KSuAZm94y14GX21KyWKhfvn2yGeLyKe0NhwZdmvxuKzvnDd4BxsdGLas03b2ZZDGVLAey6lDs6sj9oqMCl0HuIqjHFt6xvTRXVMq07M8q2LLWkJ4cKG6aytn4raJ5jIiqNn9sc2i73OtTJ8Mq12++5S7y/KhjQBijSXp8XkAOIYC3GF+wEsB5DBWszBMATzBtJYIZJAisQ6wEHsG7iAfLcwX/j+gD//4AQATHLTRLMVnXAGowmOP8a2oA0IAvWZYxWdiBgfmoIcpYlIGCXAXEJ+juzZH/DbwLXf5In/+2EZFVw1QOrHlj1wKoHVj2w6oFVD6x6YNUD/0ce+BcAAAD//wMAUEsDBBQABgAIAAAAIQBAnR2qZA4AAAQdAAAnAAAAeGwvcHJpbnRlclNldHRpbmdzL3ByaW50ZXJTZXR0aW5nczIuYmlu7FgHUFPZ1380AREE6ShFpIpUIQsxgJBQApLEJBQBySKEIoEEQglFQIqiINiNUkT4i40qSlmkGECKSEdAaVIFlo7S5Xtx3Zn97+583/7nm/lmvhnum3vPeeec37nnnXfvnTnXEXAEcAACgIOPFYAEdAEN4CdAG1ADMAAZ8ASoABHkzUHeG+TQgBv4eAIu36UA2FjY2Xb1AUoH4NuRnCwAN3CPR5vLFWAB9gJ2rCwAKziygW9GoEcZQAnQAjRB/zIADexagB44kwzo1xtQZrr6x43lhyU7SFmZMYB9G2x/doBAoqxlgTjWUXaEKEsI8gH/Hwx+9/G7SOQfz84KsAMc/1G8O8b/PzLw5zXx30UdBy48nBXegmnDD9BY7cAd4QfuEubKNgP3DgKkGHBPnQAgIGcDHAV30U9g1wbf9UDK7BogFmuCQ5w4AVj7ePoRqUzOzo+G9wsg4oMpRFOyjz+ChKb4e5J9ADzelIBA26JOoI0QBCMcAY+1NsGfwpgwASau7kQ8mTkCJggzEwIeTfhO0aamAJxMIvtZkV2JgBXZh8y0NncmufmTfYiAHdaOgEJjrYxOEMzxgJ0JFm1HsEAbE3AmeGsMwdjEDIkC4MZ/UZigwOPidzECDf+zJVP0m4t/s8QYgZH9res/aP6KMEWikDjzP8/xHfJD9Zd4/h7CDOvvEMwv/nvEHzQ/5kD7eRJ9/J2//xAMGovHGiHxzAyTnP3BwxEFIAIoJCINsDHB4pFwoxMAlkglkwK+m4MsREODBnYA40wh+uE8Q4iAkfb/dmcgRAFAE4W1Y67dPSD/T5v6KqJ8N3hy3uLhByEsAKfMaeEYNibaCgc3ZVIaz2++jvxwycbC8v2k1QOXLfY7hgVogP/7fOrq1j4uZG8KuJapRFdVhLO/s7o6gEmspErxNMDhlrWOvBShIOGIYtGKyt0cD5P51foWBarNZv3uJBXtgRufLxIY4RA+UHDhqogcv0yNQlG03bFEl2etFqm7P2BzLjf3vm+/kJdRJG9xXuSyqk12HF+mpKt9/MsAaPSqQeDc19nABu+yspXAgc3BraDBWfL23NbgxvbgmFZx+Mml575BnCyePltXrlCnBa/AWVedxarWWDrveOC1N7OPtzVgSYcxfKynHzRdnZ3XJbldhkWP0uuLr24G37xYtY+DHp3u39gwnnSG+qiecCj4BvLbZeQA6fqcVsNKXJgzDOJwYsuBY8NapoczKmVD9vSK5DT10WQf321O9vR9N+csI05yQwz5S31YIXsvHcj4lgrjU3k8ITCZm26ZOH+IlWfZTIk62hcoEZ/prwYIj9eNvKx98zJIKWxGUbHNKxMmJDaELCXd8+11WZ9/2gPLHUwbdTepiFnBfZNZNDZel2j0QI4ltQdF/vwNOUr0/yYtu31hdGUt5+zjiev+oh1jthx2PrKcdJnFWn7IQ5ZfAo7f3We+P910NFnhTKHQmOwvLc2RP9MQ5NCAWv2QMlsy+tJita3L0gRQGcSgkc8dmLrSktTo3rWagnDW0K5tbQh/PfyCLHT+uaUTvEzB60Vzff+Ee3/5evRgOf7BHUlOy3ReyHFOfziXQfTMLjte3p5iEUhG34VyHQyPL+zmpWws+1K6+L2flZUOyuuU7TsyIOkIQXm6XUt1Lsht4z25qj2lVBzXkXDo0ST/Gup690Ks8OrNu/zRZx9X3y7ZJ3IwSqlIwEDUKFjBTyi3+ltw3AvuXCJSxuptKZy90WgtCzaVbvpGuNRNS9xutKxeME0wWP/LijIs5U0njq+h9NjnPsNbyzIV8ovKU9IHhNyVef0IpN0QQZM0Mz/zUT25Fq6scp8H9dNPth+t60vdqeDBFfSq+v2kP6d8Tf3kdofsdtKo0zXP98qcJlKoxcL1rbQ7Fdc6u0U7yzfp/s1ZzXf8KXLSosFqDYoIH5k14hbRPLy7pCH0AgXZ3Cwdf8VezuZNz4ObwtwxT0KOWTW/y6COmXjuzdtXemndRVbRPDE+jKAH4ZWNkNy4yC4PnU3LSeZSPX/w8xONqr1BpJky2tpMqiU5r7+I/Prdu24qxpC94DXw8WTske5I32F31ceXK/YZ513KuI/P6Hw3YHPRQDpKh3YzulhbzOnnEyptXQzxkqf+jlGxlFqa1Gq0l9iB89UeahKFDeIlwwkqUR5ncSPCC7zdFN3dcM2OzkR2+hlGgGBfnIAM+xfl0De4EZvYNplxzQoByh6LXSwuyWcvvRUrtq9xS3DooxqqRN8ZauWPPHQIOGxV0jSCvyvxSDc0VTowO3JkfhfKebEgjttW0C0d1QTLaY3qdY81cLulnHBhMDjW1+DVHqHynpWjmxXQWPlZQZGj8kNyLtDzBiJzQa+aqIXtHaWl7OEtzqlhlR/a5674xmdpiFOr3vo68B0bInvUFZaQyg2q5zpo7YHZn5wMf6WpSyVfZCPt58W4M7oSRCBnwm9JTciP1527lPNxSPhz19LIS721BcF5eSf5QMbhVS0LleUeAWKN03gT53yJsK8qQ9OSTjEJ1veoUb022RvetjIvM5jRY3/jE8E0RfS+1vArwpom4J7OVjcNG3+ArdFB13XF2XyM4zx1bb5ruFF3ZluAPqr5nGXe4U0A3xJGiafbW6zsgyqmFmbGocEfznlarJLL4S637dFEa56kbolz6kLtKyK7DF5PCTOMKGIZYjjbTEnFu5T+yBafao/B2DibhWw5R51XihZJjg/de0wZ8TCbiLo13XcxKh1+1qukCE/t5YKW+68DlhGCubUetWOfT0vq2psGJtCHK7qlIJKoquT1sIR7lC5ik/72pANl97f46byg1pUJOuVUjuIZ6Puz0uMjxQs00aWvJgk53Xcp4hXWuKttrD1RdZUUA6cqmuExMLfUXP56qZoR3qbevJGQjMYYlesfiK1n30a4ls3LOD6qA/pI0c9ygRKn2kzOrTSXcMNwAvGypy86U/+45iaHRNucdI3dguY5/QVqjc7eo65cmd/sE78I1b2f1DS8frJg/qkWhtXdWbO5Nj7uGSPm2XmzNxK2Lz0v7h8znzDIxa6quHyIDfYI2ZVL51Vji88Wy5SyZn/DCBZLCnSM9s1wXFFnvOS61tQ5EqNTIdZ9mIOQOj0AEW9+7fV5ZVrzwjutT+u6snZvDQZ3q3hftfaV74qrnJX9GM85JtN4jaDx6TnjZKqE5NxSqwGMS7A2/3Y45SE1uJPqCp+vz3VR+HJOQuhFop7uo8S7ndN0TCt0PD8F6obNczE2mqZXU6foSNxp1JRiDGMOOh4Hatpf5FmNLBYnnkowCww/Yd9s1kgfcgk/0tCQ9L5EAis1gQ4/8q4hKbAkof6TWfiR6kNlUt5XnqX5rtkm5dY/MVMsTeyNotnzn96fu5fb9quFACzXrKUFlH8J0RZ6IZXKNAku/8By+tVIVoFFklP9mdjUKqnMxueMlyHL11NC/NvxK1Z16pXTbW+pU23IgSA5yi77nDJGil55Uaa1ZIePAXZzMS9RvP6Ji0LhFB1zFToeCQatlZnIzfHUha8JFKtO04eoklQMSvKo56k69vvT9EPgV8Z4GayHHpOdApQwklR/UNcQcIMrERmz/f4Jf0BTAc11zitnBEGf2VUx46U48atXji9x1v/1yLkZf9jz6Qpk7kZg4Vj68QDC7uzejTrFEp/22t5SthEEV+aFsJYJaeXliVj4JyrXzBbbM6dzNMvBLVy+u5DWVuyQI58Qe24sm6nKxQ+Bn53zvV/1eYwNZQ2qAfP3zxzeJlephJZEmjXbJWmpmkMX8rUC+L8MNLTGj3FUcn35lvrA9hYBalQeLx7StsnQnypPfSDaYDlXkJ//Oaf2pF0dLgoLVxmoS0zbw9O9JNcYUVB07EhfPaH6aip0qT0UeiRl8nZ8b4i3Le3jQH5+alr/51luno+TvaeoZLseVEtz6NfY2JnlYUjIRjUjMKQLEsLJAKkOJKQlJja51U9Vd+79uOdKtPOnXzX6pK+0x+xfOFXsTB/gKs68fbDDzRqyd5EvJ/9esQAdovOJY1PuXr/+bVv3DjGrkm2Vo5NnrXQjUkIkumJEh7tUdbX0g6eudMfk3HdHd3swrGB17pSyy3fO2w74Pbk3b+zE11BUHO9S06hy9rYHwzPi4EbclgOmBRUUpUDyJoRuYa10txeEIpQ7YmZ+dZ8xK4npilnq/lhTcDibe2Xi/l1yvLK9YFGo4bGUGzqfNr+wu5cqkL7e4HXEe0U7LDxV6/zocfnAk8VLCilDsL7ovrTurPAsBdLA+xzXJtv3p9O5JwrVelwbRSzod8RXhqd+WSj9Wni/f3s6kf9c/FMo2tunA42fcK73DsEHSBn3Z2UG/1yv/jiMAs2E7m3z6dDsmnwRJN0WL80a7QCZorrykGEjB7uCnwYlJx5jDL3TheVB0aCZU9daUdUX8kXrCYc9xZ6VU2FlwxBJTCr5XF+WO37io1LxZPpUmOU4ZMsioKKcmlzxDDq4WGq193HzW16fDpuutdu93tBsaP9Ayf3XTqv8Yn2Nhw1tUsnqfVmK+AmHoOJJZFeweJX3+sOpV/8agsycTCXj+rOcuoIv1Xh/yIUOjpdZrTxptgTj0Ota6+bJjdgQGH7OrnrX4ozhlNJGfbYemSMywg4NO/v0BUIHmqTK0QPbXKanDakYjZW//ReqcnYwcA23EhawnZynklW2f7s5414ET09O8cHlwoDVXFQFlGFuI3egLeJUT+r1lP65bdbfrjDgDXC0lQ4rcAC8ZPEES0o/wBnwBwtLCki9wKKRCJaYRPAKgh/Ag5JggATq/AAT8GJl1/+A2QOimE0IxGqBxacaOP7WNQARUMq8mmEWqZDv5SmzQNUCREEMXUf5sdgPrDhI/5My+R/XIzuGOxnYycBOBnYysJOBnQzsZGAnAzsZ+L/KwH8BAAD//wMAUEsDBBQABgAIAAAAIQDrIHFFRw4AAAQdAAAnAAAAeGwvcHJpbnRlclNldHRpbmdzL3ByaW50ZXJTZXR0aW5nczMuYmlu7Fh7ONRb9/+6HOReQnIXiVwTckvMjAgz0xiMIZMYDMO4TS4hybU0OJXk+pZD7uSWS4hOEWpcwjkkkbui3KZpXN7vdHqe33nPOc/vd97n97z/vI+9n7XX3muvz9r7u75rvs+sZQaQACLYSUAw4AcEAATAFwgC/n5jYWfjeAMckYDsRHGyACzAAjeJyw3kAgCGlQVgBUc2cGUF4EGrQeAYAMgAR4ATgBqgDc5CQNIEuxyg9O+c+V2XHeSsILGAtAO2P5qAWsBt5YAE1il2qChLmMU9wd8pMDG/byJ/+3xWgHnubvvv88AfY+J/e8IEMPBsrNFnmDqCQAgr5ltsk75F9GkACUDByEYCEDDydcCZHaAFRrwuSMfBtR7ImaQBYlEwG6iVFWDrSwjABzJnmIAQdAAZjw71w5uRfIOgRIRfEIHkC6DRZjgowh5uhTCB4kxscGiULQztgIQxATA3DzyaxBwBGPQ0DIdG4L5xhJkZACERSQHWJDc8YE3yJTG1zV2I7kEkXzyAQWFwcATK2sQKZ44GMDAUAoM7gzDF2cDQtkicKey0BRyAmP5pAwaH/o8YioD8UZMp+s3Ev2giTcCb/aXp3+38GWFmAbewMf/jGd8g37f+dJ+/hjCv9VcI5hP/NeJ3O9/PQAQQ8L5BLt9eCBKBQqNMLNBMDxNdgvAAAg5AyX5EfAhgB0OhLSAmVgAKH0gikr+pg1MdDY0QkACkix8+wIYQhgesYGg0DPX/+SVBRQFAE47CMGOXF5z/3XajHMrLDX4503gEQQgLwClzTjiGjYm2toGYMXkoz2+2VL6bZGNhft8BQA8MW+aVmSsG5F/PU1e39XUl+fiBsRyId1OFugS5qKsDpTUF+6V5GBCI5TOnS37oaWHjS7qnQnhMr+vKEn8Rl+JL/uC+ihKLY2dRyJ+PI/Sd8eE6eyT50xnr1ybo58ZEj2uuo/6e3uTiMp9H0YbtjvldSayqQ4Sy/FvzNUP6qldVaxdqIKPj9FfNTcHSdz48awqm6nq03Fx+G7hMoga3BLYsE38MfWk5cid5XEq+9/FMpuOsdodjPMenp373V9oMRUiDvJulZ1+IC88Vy3ImLve6d/mFGDY6yFHd9A6vSKpc3ruCxBakTsoQMqcvMBT7xhRXICqk2he00SkfHbpJ5qZtqrrVKRp59At/WyTfno02+eGWHppRGmPEoWXDR0GAG8lHGE/9/GNA0LhwA0GuURHK//nLzS7+o6FTSmLlM47wYnt2kYyK3pmu2mzidZtw1VODG8Pv3x5bfHtJm7zsobjaEWeYtP+J7lTdaOloTloueXGWPQbVGKGZxLBRKPdSkv3oEOr/jDyXo6XIrjyiJiTY3QFr4WUfIUGdf879qNp5tXfH7jnlEycju7Ob/hUHjUycvnzU4PinTryY2vvRij1HGm6cc7/fecd0Tpl1cy5KRyElo4ojlXQ3ZsmuU2EzS5EtekKpellXWCB9y6T6ss2t1mDVxnHOW/jJNLxVtzauefrDkL46Apfyee1ryeWw2OfSFw1V89RGoGOvLWW/Gn61ronDatTl1J1aavdk00ZJZuhYFN3qDfd6oNN4uyYlzSnZX8FXQE26ovbo2QYqyibvzv01vTnP4ITMGx66iyL0k2m6heIln9Mc9ueFeZlSnSCWUTLXTt4vh8lQWU/PcyRROft1Gp0tWAnYISG549k1p6dsO3hznFLFi0OiYZEpRhMecqSpz0IZxx7UYmrtp0aawz+SsF0Jy4mbh5PvcDxzUI72UtH5YUw+dbZaYl+oWrfWVaUKR/kVM6mde/Skc8cuuig3NsvRVhgbieF3O2jXN3FpDBi/FSTYamqvirRuLq0q6cbkQyGTgW5E9zsJqc3YPZRpLTmqK52c6ojZzqe7YLafhHXGp/k5lKsdiIerpzqY1fQpW7K3o6tzDw+7r9bOKygJVAg33OhwletwKBei983PYaGRB95Dru5D0F5pPuDSuvKPWnWrtb5fBneUDAbFCaVJY0GeE5Mb4rYHf4E9RN3PRmqefyHyc6I0+ZRwy77oYeiEonZK2O1H2m2zkBp+H33htDOE3PYa7nIR+FNb78l9KklHC4auGNfHDUSGCQ880yk589T2gR8sqkCTUJFAqjdDGvNBfL0kYMefxS2KNIrtlYG+fEEvtRwpE+mTsTsffmgeuC0gG+vjBXdKGzt45WWV47m2rdIf+fuOQhLhFPnihxNVo0WHCQ/0p8mRPa7akgXBD2N+7ZDTcfLpPJWZGqpfxParRz6hOkPerHuZO9afRVKB4txFG9hsOZmY/0pR5eK1Ac3YefIXzFjURlXFy4zo8pf4tWjuxQ+Mdb2tt1WOxxNfYNlia0a5w9K3E0I32XQadQvoEdwILynx14XSqyG6I3V7oeMHIK/dng5SxOouRJaJzSrMDNP3OS4/EC0a70ke9pjuoPbav1bz1yoruCRTdtz1NFpWze3Vm7iLin6qV15O6jidrZWumUzr3PRt9TQ4yBDpGIo7vlM1+fjLLeHZra5klrAbjS4VrXICn/nJLYklwtV1P9zwSP2sfcEja2WHy1pNo8pk7XH7us4K8gjb8LmEc96B/7gmLCHcd34EYpSASyrrjyuRrFtAbmA9cmJNZ35tb1fE8MT6cX3MP3Jh4WDPezfx8sxPS2pQhpQMtsxO4b0X0uP+rWkv7jif/ZLoujDORf8MPvuvPYOTY9v9B0bKwrcNN/puEuvTLojYP2lqdFE9amBG9G/tldK5SumFBRqZ+dRn9A/l7Ly27Jg/9KH1bfwytXaiqzY34S5mMQKTHOEpLUPCmRKb2+K6V8ri7mOup6wv3Wt1NXI+9Tj35gytSNue103gXvP1rAh+RiJWvNx85VZbk+pOqlHc8/pXFAXsh6iSIq56Z9PFq+Ml6cZR48MjF7DnTPKMzopl/2T3Zet9gnDuMZqQMUc5vTNFFrq1rjwUKDF6/vmmOfbZfeTtKwH6MMuHIuos9rV89terrHyd1uuEfNEw/WV/215C7LzD1D0xQv0F/noVlSrXJJFCOQ1KpLWQRvKioGJB5vaz+jTghYoWfOq5qE3tmbbhqYZHtn1iYTyRrXs1iXV8ww+unG9eocOx01Gldraosi+LqlXLef78kxJ0BfFypxMLN4eUwqXCDt7Q9OddPADYK985zUMhHsG6S2q55AwUFpJ7+kv13dtLXVFnF9OfVi+k76mmWMDKXCmdxa6HiWS9olwN7tbF9EPMndEGndjucX13Max7pNWUU3KW5ouOTUzObenA914WYVnG9IdyR431J6rk4qXpD/epVktli9tXt0/jjBr1S6SykeQe/nfzQKPaBwEx+xl4KrdTsnOKbTI8fd1T2ctIPwecFm556a4XCumOKuObkRTJixKH7G7j8z3W5/AO63MxZUuZ13CRw3n2boN5Qgtv9nZw99Quc5f0OMyF9th2BGGTJVo3S1w5qhbSE5P0DwvnU/SOlFDumpe4olIX0q+CD5CYRbZaaaDoyYPiTocO+dzF9DxQO8mbZTNCVZAsJFxE0TsM7iHJN7mI+862LqKT9GdO1PQE+iyd2Gu3ataS7V1S9aq2wT8/N6joyeyImOdd8nhMMWOj+G6e3GCEXqV7jnRwSaNFctersQQhWSgfPYdq3P9FdF9838eojZ7cSS0zZ5WI89xmZlfpuuyzRafa3umjn8yh711UXVeqPOfV1FcUnUmvB/pau+o3W/cEbxSxShm4arm9TSGadWsPmsw15xaIdvNE7llTy5+HrVoq9jJOZzjLt/oJNF8umB+cyac5YTBrQ0+5xV//+O51b+Lsib6cSr9qLJROGtqIi3UcHNYwRGSu9o9Ki8CDu/O9NhrLz+dvV1bezBkoleDiMZjXc6Cdx/xiQX1xiT82NnttQWKNP57JJdcoMSA/KLFGiYsd1QiUxAQvrmbRXF0mejQMBW/oxDh+Lm8SLHjUO9Zb5XaytGvC5CREsexsB9dP1pCQe2FCFUstWcEe/RhIyDuDgXks5MTlLPeD2jGiE0v8mAJ1RPOeOL8lmt4AOc4vE/tey7YV68NWET7VzzcB8zKQ73grJXzI7tzZ6jeCcDoPNbnnMudaVpDiwfaG2WGH1nbBV+M5k+q34yoHNqc3DhFd+CY21+uKMcI6MZwr1DXE9f0+XAYRJxWzbOP8tsOiAxtlibSb1sWFQ7DgyXKpOZ+HMIob/WdBSonhG07nzOF7kWmyROOhMlR6RWlTr+ArD1zlYJpqTeWIezhf06L65k8L1EeSkQ8NYlI7yLSil95fryyd5A3dLotfOhkTZv1g5UkKDtkQpl/RJNDnPEAY+1hFk+qjGnNwVMzMxZQ0HEnyMLzXhFh3HhCzP8DtGn+HTFMa8dYvbDIWCbGOD6Kd5q2Yr1zarp/Uluwbk454XJDXyHC9NRxkFXxZfjXDuXdMevlxAWl+KTnceUCXTJvmqCDEL213ftBuLm4yehuS2+bMOHDgcZcydW4pWdR5wHdsq2/MeySvSZ0txJq6uGTJ7TzAMralOei9MDx2x/xxQTZovmV4rXCpZf9H7eaypp2wtlWSsWmxSptjgSR+Oatk8+cPDcs/mG+5GK3OFfVraacblkd7jiZUuzKiW7m9pLeTB+kVjHiiQ8jMlaeiVELdA8cdIM95S/V8xa/x7zzEPzmMhZNjzO3kJDR3qip1lRouvd1hYf2thgFhQBDW2qyABOAKVmMCwO4CVk5IYHXGBfAGs0Y8mGPiwRoEP2AD+IAaQYAn+H9cG+D4PxC83+sW+8F89RiYe6qB42+kAYiAWM1vMk1QqgnKmStmvqoJ1mp0AVEQW2Kutf/AdxtiIP93suW/n5fsau56YNcDux7Y9cCuB3Y9sOuBXQ/seuA/7YF/AgAA//8DAFBLAwQUAAYACAAAACEAQr6JmYAHAADhFgAAEAAAAHhsL2NvbW1lbnRzMS54bWzMWNty28gRfWcV/2GKT+sKRxyAgwu1kja4ehnbskqWa59HwFBEGRhwAVASk0pVfiO/ly/JGQCkpJXsoDaRN1W0jLn19HSfOd09Jz/dFzm5lVWdlep0YhyxCZEqKdNM3ZxOPl/F1J2QuhEqFXmp5OlkJ+vJT2fj0UlSFoVUTU0gQNWnk3XTbI5nszpZy0LUR+VGKoysyqoQDZrVzazeVFKk9VrKpshnJmP2rBCZmnQSjotkiJBCVF+2G4rdN6LJrrM8a3atrAkpkuPljSorcZ1D0ftqL/i+eia4yJKqrMtVcwRBs3K1yhL5TD+Dzyp5m2nLTM5OxLZZl1W9/zhL1iLPs1qczLqRw8CV2OVlRaL02cinImvW5HIn1MNQvxpye4O+z+rm0CCVXJ1OPGNCuk2W6ekEHqrXYiP77/vqeJuh+2+Ox+ZmaFuU89ij3LAYdUPfpiyyLHMeMZfH9t9xkEbeY4MKvwv8qf9KbkV+OllMZnpXrXmmUnkvIdI1dGcVl6rpJl2JdVkI3bkSRZbvul5Td8xaac3Z1TqrCeRsC0XwVWjkNGW1OyLj0Xi0bMhWZb9uJdZmKeCTrTJZk2YtyQYYLLFGta1MbbYNwVLRL1yRXbmt2h6SllijyoaIXCNqR9biVhKBxXuR1VRLUWSTS1FLrcUW3tqRG6lkJRr5o1ZGHt0cEWNKzCmZTwnXXVdQpIMsSbQ8leTbVBKSy6aBftgjncFCaltcozke4VDLVrNOhWKbNxn2JFV5p08lGjgwx36kKdtj1aLYn7TXEGruiJIy1VPac2hjtPMeTnMyg8dm8Nasc96sx8pvcOI/wQkaL+KEz+dWGHkmjcI5ozzkPl1w06TMCDzTMOeeE5ivj5N4m+dEaXOUK3LR+R6W/VjdCIVb1eDSkVSCRDQTETQiVWXJWlMOudptZAeLGEu6xT+SZe8sOLoVXJMfOv9pAUWWpvBLi+6syURev2kBeV5q52jM4qchlWi81FLVmHUrp9rjvZpVKoG/PfTAakB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        //Instruction 2A: Base64 encode the field mapping file (json) (e.g. using certutil on windows: https://stackoverflow.com/questions/65577255/encode-to-base64-a-specific-file-by-windows-command-line)

        //Instruction 2B, add the encoded string of the field mapping here

        string b64fieldmapping = "/* input spreadsheet to json mapping (for dummy UES ingestion) */
/* TBC - can (/should) the same mapping be used for the ACUESRuns -> UES as well */
[
  {
    "FieldName": "opName",
    "SheetName": "Audit",
    "Column": "B",
    "Row": "7"
  },
  {
    "FieldName": "directorate",
    "SheetName": "Audit",
    "Column": "B",
    "Row": "9"
  },
  {
    "FieldName": "businessUnit",
    "SheetName": "Audit",
    "Column": "B",
    "Row": "11"
  },
  {
    "FieldName": "summaryOfBusinessNeed",
    "SheetName": "Audit",
    "Column": "B",
    "Row": "13"
  },
  {
    "FieldName": "personalData",
    "SheetName": "Audit",
    "Column": "B",
    "Row": "24"
  },
  {
    "FieldName": "specialCategoryData",
    "SheetName": "Audit",
    "Column": "B",
    "Row": "25"
  },
  {
    "FieldName": "travelData",
    "SheetName": "Audit",
    "Column": "B",
    "Row": "28"
  },
  {
    "FieldName": "travelJustification",
    "SheetName": "Audit",
    "Column": "B",
    "Row": "30"
  },
  {
    "FieldName": "originalID",
    "SheetName": "Data",
    "Column": "A",
    "Row": ""
  },
  {
    "FieldName": "fullName",
    "SheetName": "Data",
    "Column": "B",
    "Row": ""
  },
  {
    "FieldName": "dob",
    "SheetName": "Data",
    "Column": "C",
    "Row": ""
  },
  {
    "FieldName": "gender",
    "SheetName": "Data",
    "Column": "D",
    "Row": ""
  },
  {
    "FieldName": "nationality",
    "SheetName": "Data",
    "Column": "E",
    "Row": ""
  },
  {
    "FieldName": "placeOfBirth",
    "SheetName": "Data",
    "Column": "F",
    "Row": ""
  },
  {
    "FieldName": "passportNumber",
    "SheetName": "Data",
    "Column": "G",
    "Row": ""
  },
  {
    "FieldName": "nino",
    "SheetName": "Data",
    "Column": "H",
    "Row": ""
  },
  {
    "FieldName": "address",
    "SheetName": "Data",
    "Column": "I",
    "Row": ""
  },
  {
    "FieldName": "postcode",
    "SheetName": "Data",
    "Column": "J",
    "Row": ""
  },
  {
    "FieldName": "email",
    "SheetName": "Data",
    "Column": "K",
    "Row": ""
  },
  {
    "FieldName": "telephone",
    "SheetName": "Data",
    "Column": "L",
    "Row": ""
  },
  {
    "FieldName": "documentReference",
    "SheetName": "Data",
    "Column": "M",
    "Row": ""
  },
  {
    "FieldName": "enrichmentType",
    "SheetName": "Settings",
    "Column": "B",
    "Row": "7"
  },
  {
    "FieldName": "predictedScore",
    "SheetName": "Settings",
    "Column": "B",
    "Row": "11"
  },
  {
    "FieldName": "matchThreshold",
    "SheetName": "Settings",
    "Column": "B",
    "Row": "12"
  },
  {
    "FieldName": "moduleContactDetails",
    "SheetName": "Settings",
    "Column": "B",
    "Row": "15"
  },
  {
    "FieldName": "moduleWhereabouts",
    "SheetName": "Settings",
    "Column": "B",
    "Row": "16"
  },
  {
    "FieldName": "moduleImmigration",
    "SheetName": "Settings",
    "Column": "B",
    "Row": "17"
  },
  {
    "FieldName": "moduleIntel",
    "SheetName": "Settings",
    "Column": "B",
    "Row": "18"
  },
  {
    "FieldName": "moduleAssociations",
    "SheetName": "Settings",
    "Column": "B",
    "Row": "19"
  },
  {
    "FieldName": "dataSources",
    "SheetName": "Settings",
    "Column": "B",
    "Row": "21"
  },
  {
    "FieldName": "returnNoMatches",
    "SheetName": "Settings",
    "Column": "B",
    "Row": "23"
  },
  {
    "FieldName": "highlightedText",
    "SheetName": "Settings",
    "Column": "B",
    "Row": "25"
  },
  {
    "FieldName": "dataSourceBRP",
    "SheetName": "Data Sources",
    "Column": "B",
    "Row": "8"
  },
  {
    "FieldName": "dataSourceCID",
    "SheetName": "Data Sources",
    "Column": "B",
    "Row": "9"
  },
  {
    "FieldName": "dataSourceCRS",
    "SheetName": "Data Sources",
    "Column": "B",
    "Row": "10"
  },
  {
    "FieldName": "dataSourceDNB",
    "SheetName": "Data Sources",
    "Column": "B",
    "Row": "11"
  },
  {
    "FieldName": "dataSourceGBD",
    "SheetName": "Data Sources",
    "Column": "B",
    "Row": "12"
  },
  {
    "FieldName": "dataSourceIABS",
    "SheetName": "Data Sources",
    "Column": "B",
    "Row": "13"
  },
  {
    "FieldName": "dataSourceWPD",
    "SheetName": "Data Sources",
    "Column": "B",
    "Row": "14"
  },
  {
    "FieldName": "dataSourcePCDP",
    "SheetName": "Data Sources",
    "Column": "B",
    "Row": "15"
  },

  {
    "FieldName": "dataSourceA8",
    "SheetName": "Data Sources",
    "Column": "B",
    "Row": "18"
  },
  {
    "FieldName": "dataSourceASYS",
    "SheetName": "Data Sources",
    "Column": "B",
    "Row": "19"
  },
  {
    "FieldName": "dataSourceCOH",
    "SheetName": "Data Sources",
    "Column": "B",
    "Row": "20"
  },
  {
    "FieldName": "dataSourceGLOBE",
    "SheetName": "Data Sources",
    "Column": "B",
    "Row": "21"
  },
  {
    "FieldName": "dataSourceHSMP",
    "SheetName": "Data Sources",
    "Column": "B",
    "Row": "22"
  },
  {
    "FieldName": "dataSourceNOD",
    "SheetName": "Data Sources",
    "Column": "B",
    "Row": "23"
  },
  {
    "FieldName": "dataSourceHPBS",
    "SheetName": "Data Sources",
    "Column": "B",
    "Row": "24"
  },
  {
    "FieldName": "dataSourcePBS",
    "SheetName": "Data Sources",
    "Column": "B",
    "Row": "25"
  },
  {
    "FieldName": "dataSourceSAW",
    "SheetName": "Data Sources",
    "Column": "B",
    "Row": "26"
  },
  {
    "FieldName": "dataSourceILRD",
    "SheetName": "Data Sources",
    "Column": "B",
    "Row": "29"
  },
  {
    "FieldName": "dataSourceOCGM",
    "SheetName": "Data Sources",
    "Column": "B",
    "Row": "30"
  },
  {
    "FieldName": "dataSourceS24",
    "SheetName": "Data Sources",
    "Column": "B",
    "Row": "31"
  },
  {
    "FieldName": "dataSourceSIP",
    "SheetName": "Data Sources",
    "Column": "B",
    "Row": "32"
  },
  {
    "FieldName": "dataSourceIMS",
    "SheetName": "Data Sources",
    "Column": "B",
    "Row": "33"
  },
  {
    "FieldName": "dataSourceIMSR",
    "SheetName": "Data Sources",
    "Column": "B",
    "Row": "34"
  },
  {
    "FieldName": "dataSourceBITD",
    "SheetName": "Data Sources",
    "Column": "B",
    "Row": "37"
  },
  {
    "FieldName": "dataSourceAPI",
    "SheetName": "Data Sources",
    "Column": "B",
    "Row": "38"
  }
]";

        //Instruction 3: Set the starting row per fileData sheet (optional)

        //TODO - format this better, maybe as json for easier parsing.

        //Current format is Name1=Value1,Name2=Value2

        string startingRows = "Data=3";

        //Instruction 3: Set the starting row per fileData sheet (optional)

        //TODO - format this better, maybe as json for easier parsing.

        //Current format is Name1=Value1,Name2=Value2

        string keyCols = "Data=A";

        //Instruction 4: Run.

        //Instruction 5: Check the status and grab the output from the console.

        string requestBody = "{" + "'fileData': '" + b64data + "'," + "'MappingField':'" + b64fieldmapping + "'," + "'StartingRows':'" + startingRows + "'," + "'KeyCols':'" + keyCols + "'" + "}";

        requestBody = requestBody.Replace('\'','"');

        int? responseCode = 0;

        dynamic responseBody;

        IActionResult responseResult = Extract_JSON_From_Spreadsheet.Run(requestBody);

        if (responseResult != null)

        {

            Console.WriteLine("responseResult not null");

            Console.WriteLine("responseResult type:" + responseResult.GetType());

​

            var resultObj = responseResult as ObjectResult;

            responseCode = resultObj.StatusCode;

            responseBody = resultObj.Value;

            Console.WriteLine("responseResult:" + resultObj.StatusCode.ToString());

        }

        else

        {

            Console.WriteLine("responseResult is null");

            responseBody = null;

        }

​

        if (responseCode != null)

            Console.WriteLine("response code:" + responseCode);

        if (responseBody != null)

            Console.WriteLine("Response:" + responseBody);

        else

            Console.WriteLine("Error getting response");

    }

​

​

    public class SpreadSheetMapping

    {

        [JsonProperty(PropertyName = "FieldName")]

        public string FieldName { get; set; }

​

        [JsonProperty(PropertyName = "SheetName")]

        public string SheetName { get; set; }

​

        [JsonProperty(PropertyName = "Row")]

        public string Row { get; set; }

        [JsonProperty(PropertyName = "Column")]

        public string Column { get; set; }

    }

​

    public class DataMapping

    {

        [JsonProperty(PropertyName = "FieldName")]

        public string FieldName { get; set; }

​

        [JsonProperty(PropertyName = "FieldValue")]

        public string FieldValue { get; set; }

    }

​

    public static class Extract_JSON_From_Spreadsheet

    {

        public static IActionResult Run(string requestBody)

        {

            //Ensure these is reset for every new run (to avoid any potential static leak)

            Worksheet worksheet = new Worksheet();

            //Example class to illustrate the input format

            Console.WriteLine("Extract_JSON_From_Spreadsheet function - Start");

​

            bool debugMode = true; //When set to true, debugging messages will be output (can be set via an input param or directly here)

            //Define response vars

            string responseMessage = "Unhandled Error"; //Set a default message here incase it never gets set

            int responseStatus = 500; //Error by default

            ObjectResult responseObj; //Object to handle responses

​

            //Fallback trycatch for all

            try

            {

                //log.LogInformation("msg1");

​

                // Read form data from request body

                //var formData = await req.ReadFormAsync();

                dynamic formData = JsonConvert.DeserializeObject(requestBody);

​

                //log.LogInformation("msg2");

​

                if (string.IsNullOrEmpty(formData["MappingField"].ToString()))

                {

                    responseMessage = "Error: request mapping data is missing (form)";

                    Console.WriteLine(responseMessage);

                    return new BadRequestObjectResult(responseMessage);

                }

​

                //log.LogInformation("msg3");

​

                if (string.IsNullOrEmpty(formData["fileData"].ToString()))

                {

                    responseMessage = "Error: request file data is missing (form)";

                    Console.WriteLine(responseMessage);

                    return new BadRequestObjectResult(responseMessage);

                }

​

                //log.LogInformation("msg4");

​

​

                //Before we try to read the input file, check the mapping

                string mappingData = formData["MappingField"];

​

                //log.LogInformation("msg5");

​

                try

                {

                    if (debugMode) Console.WriteLine("before mapping data B64");

                    mappingData = System.Text.Encoding.UTF8.GetString(Convert.FromBase64String(mappingData));

                }

                catch (System.Exception)

                {

                    // Base64 decode failed

                    responseMessage = "Error: request mapping data is missing (Base64)";

                    if (debugMode) Console.WriteLine(responseMessage);

                    return new BadRequestObjectResult(responseMessage);

                }

                Console.WriteLine("after mapping data B64");

​

                //mappingData = System.Text.Encoding.UTF8.GetString(Convert.FromBase64String(mappingData));

                if (string.IsNullOrEmpty(mappingData))

                {

                    responseMessage = "Error: request mapping data is missing (Base64)";

                    if (debugMode) Console.WriteLine(responseMessage);

                    return new BadRequestObjectResult(responseMessage);

                }

​

                //log.LogInformation("msg6");

​

                List<SpreadSheetMapping> mappingList = JsonConvert.DeserializeObject<List<SpreadSheetMapping>>(mappingData);

​

                //log.LogInformation("msg7");

​

​

                // check to see if the sheet exists in the workbook

                if (mappingList.Count() == 0) {

                    responseMessage = "Error: Spreadsheet mapping is empty. Did mappingData fail to be parsed?";

                    if (debugMode) Console.WriteLine(responseMessage);

                    responseStatus = 500;

                    responseObj = new ObjectResult(responseMessage);

                    responseObj.StatusCode = responseStatus;

                    return responseObj;

                }

​

                //log.LogInformation("msg8");

​

​

                // get the base64 string and save it to a var

                string b64Str = formData["fileData"];

                Byte[] bytes = null;

                try

                {

                    if (debugMode) Console.WriteLine("before spreadsheet data B64");

                    bytes = Convert.FromBase64String(b64Str);

                }

                catch (System.Exception)

                {

                    // Base64 decode failed

                    responseMessage = "Error: spreadsheet data is missing (Base64)";

                    if (debugMode) Console.WriteLine(responseMessage);

                    return new BadRequestObjectResult(responseMessage);

                }

                if (debugMode) Console.WriteLine("after spreadsheet data B64");

​

                //log.LogInformation("msg9");

​

                // Init Response var

                Dictionary<string, object> responseValues = new Dictionary<string, object>();

​

                //Convert the starting Row to a dict for quicker ref

                //TODO - this better

                string sr = formData["StartingRows"];

                if (debugMode) Console.WriteLine("sr: " + sr);

                Dictionary<string, int> startingRowsDic = new Dictionary<string, int>();

                if (!String.IsNullOrEmpty(sr))

                {

                    string[] sra =  sr.Split(',');

                    int srCount = sra.Length;

                    for (int i = 0; i < srCount; i++)

                    {

                        if (debugMode) Console.WriteLine("adding sr: " +sra[i].Split('=')[0] + ":" + Int32.Parse(sra[i].Split('=')[1]));

                        startingRowsDic.Add(sra[i].Split('=')[0], Int32.Parse(sra[i].Split('=')[1]));

                    }

                }

                if (debugMode) Console.WriteLine("startingRowsDic len: " + startingRowsDic.Count());

​

                //Convert the keyColumns to a dict for quicker ref

                //TODO - this better

                string kc = formData["KeyCols"];

                Console.WriteLine("kc: " + kc);

                Dictionary<string, string> keyColsDic = new Dictionary<string, string>();

                if (!String.IsNullOrEmpty(kc))

                {

                    string[] kca =  kc.Split(',');

                    int kcCount = kca.Length;

                    for (int i = 0; i < kcCount; i++)

                    {

                        Console.WriteLine("adding kc: " +kca[i].Split('=')[0] + ":" + kca[i].Split('=')[1]);

                        keyColsDic.Add(kca[i].Split('=')[0],kca[i].Split('=')[1]);

                    }

                }

                Console.WriteLine("keyColsDic len: " + keyColsDic.Count());

​

                // Use a mem stream to load the spreadsheet file from the input

                using (MemoryStream ms = new MemoryStream(bytes))

                {

​

                    var fileBytes = ms.ToArray();

​

                    ms.Write(fileBytes, 0, (int)fileBytes.Length);

                    //Reset the memory stream to the start

                    ms.Position = 0;

​

                    //log.LogInformation("msg10");

​

​

                    //Open the spreadsheet from the mem stream

                    using (SpreadsheetDocument spreadsheetDoc = SpreadsheetDocument.Open(ms, false))

                    {

                        //log.LogInformation("msg11");

​

                        // Get the workbook once

                        var workbook = spreadsheetDoc.WorkbookPart.Workbook;

                        var workbookPart = spreadsheetDoc.WorkbookPart;

                        string prevWorksheet = ""; //note the previous loop's worksheet to save on lookups

                        var id = "";

                        var sheetData = new SheetData();

​

                        int maxRowCount = 0;

                        int startRow = 2; //TODO - this should ideally get set before this point to allow us to skip stuff. It should also be set based on SheetName incase the headers vary or anything

                        string keyColRef = "A"; //TODO - this should ideally get set before this point based on the key column

                        List<string> keyColVals = new List<string>(); // This will be used to store the key column values, to prefix repeating fields with

                        bool hasRepeatingDataRows = false;

                        Dictionary<string, string> repeatedRowData = new Dictionary<string, string>();

​

​

​

                        //Loop through each item in the field mapping

                        foreach (SpreadSheetMapping mappingEntry in mappingList)

                        {

                            //log.LogInformation("msg12");

​

                            //To save on lookups, only get the worksheet if it's different to the previous fields')

                            if (prevWorksheet != mappingEntry.SheetName)

                            {

                                // check to see if the sheet exists in the workbook

                                if (workbook.Descendants<Sheet>().Where(s => s.Name.Equals(mappingEntry.SheetName)).Count() == 0) {

                                    responseMessage = "Error: Spreadsheet mapping mismatch. Could not find a workbook sheet with the name: " + mappingEntry.SheetName;

                                    Console.WriteLine(responseMessage);

                                    responseStatus = 500;

                                    responseObj = new ObjectResult(responseMessage);

                                    responseObj.StatusCode = responseStatus;

                                    return responseObj;

                                }

​

                                // get current worksheet id

                                id = workbook.Descendants<Sheet>().FirstOrDefault(s => s.Name.Equals(mappingEntry.SheetName)).Id;

​

                                // Lookup worksheet by ID

                                var worksheetPart = (WorksheetPart)workbookPart.GetPartById(id);

                                sheetData = worksheetPart.Worksheet.Elements<SheetData>().FirstOrDefault();

                                // set the worksheet to the current worksheet's part

                                worksheet = worksheetPart.Worksheet;

​

                                //Override startRow if found

                                if (startingRowsDic.ContainsKey(mappingEntry.SheetName))

                                {

                                    startRow = startingRowsDic[mappingEntry.SheetName];

                                    Console.WriteLine("startRow override found:" + startRow.ToString());

                                }

                                else

                                    startRow = 0;

                                //Override keyColRef if found

                                if (startingRowsDic.ContainsKey(mappingEntry.SheetName))

                                {

                                    keyColRef = keyColsDic[mappingEntry.SheetName];

                                    Console.WriteLine("keyColRef override found:" + keyColRef.ToString());

                                }

                                else

                                    keyColRef = "A";

                            }

​

                            // set worksheet's current sheet

                            prevWorksheet = mappingEntry.SheetName;

​

​

                            //Find the relevant cell

​

                            //log.LogInformation("msg13");

​

​

                            //If a specific row is provided, look it up, otherwise, assume we need to loop

                            //"normal" specific cell handling

                            if (!string.IsNullOrEmpty(mappingEntry.Row) && mappingEntry.Row.ToLower() != "next")

                            {

                                //log.LogInformation("msg14a");

                                Cell cell = GetCell(worksheet,mappingEntry.Column, Convert.ToUInt16(mappingEntry.Row));

                                //Grab the data

                                if (cell != null)

                                {

                                    //log.LogInformation("msg14b");

                                    // Add the data to the response - call GrabCellStringLookup because excel is silly and stores the string in a seperate part of the document

                                    responseValues.Add(mappingEntry.FieldName, GrabCellStringLookup(cell, workbookPart));

                                    //log.LogInformation("msg14c");

​

                                }

                                else

                                {

                                    //log.LogInformation("msg14d");

                                    responseMessage = "Error: Invalid cell reference";

                                    Console.WriteLine(responseMessage);

                                    responseStatus = 500;

                                    responseObj = new ObjectResult(responseMessage);

                                    responseObj.StatusCode = responseStatus;

                                    return responseObj;

                                }

                            }

                            else

                            {

                                //log.LogInformation("msg15");

​

                                //Basically if we hit a field which doesn't have row ID, it means we expect multiple rows of data for this field.

                                //So we need to create multiple instances

                                //TBC - whether to use an object per row or if we just prefix the output field with the row number (or key) (e.g. 1:Title, 2:Title etc...)

                                    //Assuming prefix with key

                                //TBC - how do we know which row to start at (i.e. to avoid header rows or intro text etc...)

                                    //Assuming some kind of input param (probably based on the template which should be known)

                                //Bit of a botcharound, basically do an initial run through of key column to try to work out how many rows there are

                                if (maxRowCount == 0)

                                {                        

                                    //log.LogInformation("msg15a");

​

                                    hasRepeatingDataRows = true;

                                    bool moredatarows = true;

                                    int curRow = startRow;

​

                                    while (moredatarows)

                                    {

                                        Cell cell = GetCell(worksheet,keyColRef, (uint)curRow);

                                        if (cell == null)

                                            moredatarows = false;

                                        else

                                        {

                                            //keyColVals.Add(GrabCellStringLookup(cell, workbookPart));

                                            keyColVals.Add(curRow.ToString() + "#" + GrabCellStringLookup(cell, workbookPart));

                                            Console.WriteLine("curRow:" + curRow.ToString());

                                            //string testText = keyColVals[maxRowCount - 1];

                                            //Console.WriteLine("last row:" + testText);

                                            //log.LogInformation("msg15a1, maxRowIndex: " + maxRowIndex.ToString());

                                            //log.LogInformation("msg15a2, key text: " + testText);

​

                                            maxRowCount = maxRowCount + 1;

                                            curRow = curRow + 1;

                                        }

                                    }

                                    //log.LogInformation("msg15b, keyColVals len: " + keyColVals.Count);

                                    //log.LogInformation("msg15c, maxRowIndex:" + maxRowIndex.ToString());

                                    Console.WriteLine("maxRowCount:" + maxRowCount.ToString());

                                }

​

                                if (maxRowCount > 0)

                                {

                                    //maxRowCount = maxRowCount + 1; //Add 1 to make it 1 based

                                    //Then we can loop through based on the row count (meaning we can accept blank values in columns)

                                    //This is a bit of a botch around to account for startRow potentially being > the number of rows

                                        //e.g. if we're skipping a header row but only 1 row of data, i.e startRow = 2 but maxRowIndex = 1;

                                    int maxLoops = 0; 

​

                                    Console.WriteLine("startRow:" + startRow.ToString());

                                    //TODO - check this now that we're setting start row

                                    maxLoops = maxRowCount;

                                    //if(startRow > maxRowCount)

                                    //    maxLoops = startRow; //start row isn't 0 based index)

                                    //else

                                    //    maxLoops = maxRowCount + 1; //(maxRowCount is 0 based, loop count isn't)

                                    Console.WriteLine("maxLoops:" + maxLoops.ToString());

​

                                    //log.LogInformation("msg15d, maxLoops: " + maxLoops.ToString());

​

                                    //Loop through the rows, starting at the starting row index, upto max loops

                                    for (int iCurLoop = startRow;iCurLoop <= (startRow + maxLoops);iCurLoop++) 

                                    {

                                        int iCurRow = iCurLoop - startRow;

                                        Console.WriteLine("iCurLoop:" + iCurLoop.ToString());

                                        Console.WriteLine("iCurRow:" + iCurRow.ToString());

                                        //log.LogInformation("msg15e, iCurLoop: " + iCurLoop.ToString());

                                        //log.LogInformation("msg15f, iCurRow: " + iCurRow.ToString());

​

                                        Cell cell = GetCell(worksheet,mappingEntry.Column, (uint)iCurLoop);

                                        ////log.LogInformation("msg15g");

                                        //Grab the data

                                        if (cell != null)

                                        {

                                            //log.LogInformation("msg15h");

                                            // Add the data to the response - call GrabCellStringLookup because excel is silly and stores the string in a seperate part of the document

                                            //Prefix the field name with the row id (or key column's value?)

                                            //TODO - capture a list of key col values in the maxRowIndex loop then look up from there here based on currow

                                            Console.WriteLine("iCurLoop:" + keyColVals[iCurRow]);

                                            try

                                            {

                                                repeatedRowData.Add(keyColVals[iCurRow] + ":" + mappingEntry.FieldName , GrabCellStringLookup(cell, workbookPart));

                                            }

                                            catch

                                            {

                                                Console.WriteLine("TODO - need to work out a better way of handling rows which have the same key, maybe use Row number as well or something?");

                                            }

                                            //log.LogInformation("msg15i");

                                        }

                                    }

                                }

                                //else

                                    //log.LogInformation("msg15j");

                                //log.LogInformation("msg15k");

                            }

                            //log.LogInformation("msg15z");

​

                        }

​

                        //Once the mapping is done, check if there are repeating data rows

                        //If so, loop through the data, work through the keyset to find related fields then combine them into an object for that row.

                        if (hasRepeatingDataRows && repeatedRowData.Count > 0)

                        {

                            //log.LogInformation("msg16, repeatedRowData count: " + repeatedRowData.Count.ToString());

                            List<Dictionary<string,string>> responseRows = new List<Dictionary<string,string>>();

​

                            //Dictionary<string,Dictionary<string,string>> rowDic = new Dictionary<string,Dictionary<string,string>>();

​

                            foreach (string keyCol in keyColVals)

                            {

                                Console.WriteLine("keyCol:"+ keyCol);

                                Dictionary<string,string> keyColFields = new Dictionary<string,string>();

                                //Loop through repeated Row data keys

                                //TODO - This more efficiently

                                foreach (string key in repeatedRowData.Keys)

                                {

                                    //Find all data fields for the current key col

                                    if (key.StartsWith(keyCol + ":"))

                                    {                       

                                        string newkey = key.Replace(keyCol + ":","");

                                        Console.WriteLine("newkey:"+ newkey);

                                        Console.WriteLine("repeatedRowData[key]:"+ repeatedRowData[key]);

                                        //If found, remove key from name then add with value to keyColFields

                                        keyColFields.Add(newkey,repeatedRowData[key]);

                                    } 

                                    //if (key.StartsWith(keyCol + ":"))

                                    //{                                                   

                                    //  newkey = newkey.Replace(keyCol + ":","");

                                    //  Console.WriteLine("newkey:"+ newkey);

                                    //    //If found, remove key from name then add with value to keyColFields

                                    //    keyColFields.Add(newkey,repeatedRowData[key]);

                                    //} 

                                }

                                //Add the key col plus all fields to the row object

                                //rowDic.Add(keyCol, keyColFields);

                                //Convert row object to json

                                //string repeatedRows = JsonConvert.SerializeObject(row);

                                //Add row object to responseValues against the row

                                responseRows.Add(keyColFields); 

​

                            }

                            responseValues.Add("DataRows",responseRows.ToArray());

​

                            //log.LogInformation("msg16b");

​

​

                        }

                    }

                }

​

                //log.LogInformation("msg17");

​

                //Once we've gathered all of the data

                //If data is available, convert it to JSON the add as the response

                if (responseValues != null && responseValues.Count() > 0)

                {

                    responseMessage = JsonConvert.SerializeObject(responseValues);

                }

​

                //log.LogInformation("msg18");

​

                // Ensure there's a response

                if (!string.IsNullOrEmpty(responseMessage))

                {

                    // Response OK

                    Console.WriteLine("Response OK");

                    responseStatus = 200;

                    responseObj = new ObjectResult(responseMessage);

                    responseObj.StatusCode = responseStatus;

                    return responseObj;

                }

                else

                {

                    responseMessage = "Invalid Response";

                    Console.WriteLine(responseMessage);

                    responseStatus = 500;

                    responseObj = new ObjectResult(responseMessage);

                    responseObj.StatusCode = responseStatus;

                    return responseObj;

                }

​

            }

​

            //Catch all Exceptions

            catch (Exception e)

            {

                //log.LogInformation("msg19b");

​

                //Log the exception, source etc...

                Console.WriteLine("Exception caught by catch all handler: " + e.Message);

​

​

                Console.WriteLine("Source: " + e.Source);

                Console.WriteLine("TargetSite: " + e.TargetSite);

                Console.WriteLine("StackTrace: " + e.StackTrace);

​

                //log.LogInformation("msg19b");

​

                if (e.InnerException != null)

                {

                    Console.WriteLine("Inner Exception caught by catch all handler: " + e.InnerException.Message);

                    Console.WriteLine("Inner Source: " + e.InnerException.Source);

                    Console.WriteLine("Inner TargetSite: " + e.InnerException.TargetSite);

                    Console.WriteLine("Inner StackTrace: " + e.InnerException.StackTrace);

                }

​

                //log.LogInformation("msg19c");

​

​

                //Return with error message but don't output the exception

                responseMessage = "Error - Exception thrown, see logs";

                Console.WriteLine(responseMessage);

                responseStatus = 500;

​

                //log.LogInformation("msg19d");

​

                responseObj = new ObjectResult(responseMessage);

                responseObj.StatusCode = responseStatus;

​

                //log.LogInformation("msg19e");

​

                return responseObj;

            }

            finally

            {

                Console.WriteLine("SpreadsheetDataExtractor function - End");

            }

​

        }

​

        #region Private methods

            private static Cell GetCell(Worksheet worksheet, string columnName, uint rowIndex)

        {

            Row row = GetRow(worksheet, rowIndex);

​

            if (row == null)

            {

                return null;

            }

​

            return row.Elements<Cell>().Where(c => string.Compare(c.CellReference.Value, columnName + rowIndex, true) == 0).FirstOrDefault();

        }

​

        private static Row GetRow(Worksheet worksheet, uint rowIndex)

        {

            return worksheet.GetFirstChild<SheetData>().Elements<Row>().Where(r => r.RowIndex == rowIndex).FirstOrDefault();

        }

​

        public static string GrabCellStringLookup(Cell theCell, WorkbookPart wbPart)

        {

​

            var value = "";

            // method to lookup the string value of a cell, needs the workbook part, and worksheet part to locate the correct string table.

            // for some reason, excel stores all cell strings in a seperate "string" lookup table, so this method maps those together, if the cell doesn't contain a string, it returns the correct data type

            // If the cell does not exist, return an empty string.

            if (theCell.InnerText.Length > 0)

            {

                value = theCell.InnerText;

​

                // If the cell represents an integer number, you are done. 

                // For dates, this code returns the serialized value that 

                // represents the date. The code handles strings and 

                // Booleans individually. For shared strings, the code 

                // looks up the corresponding value in the shared string 

                // table. For Booleans, the code converts the value into 

                // the words TRUE or FALSE.

                if (theCell.DataType != null)

                {

                    //Note: This used to be a switch statement but according to this: https://stackoverflow.com/questions/77715682/issue-switch-statement-after-upgrading that won't work with CellValues

                    //switch (theCell.DataType.Value)

                    //{

                    //  case CellValues.SharedString:

                    if (theCell.DataType.Value == CellValues.SharedString)

                    {

                            // For shared strings, look up the value in the

                            // shared strings table.

                            var stringTable =

                                wbPart.GetPartsOfType<SharedStringTablePart>()

                                .FirstOrDefault();

​

                            // If the shared string table is missing, something 

                            // is wrong. Return the index that is in

                            // the cell. Otherwise, look up the correct text in 

                            // the table.

                            if (stringTable != null)

                            {

                                value =

                                    stringTable.SharedStringTable

                                    .ElementAt(int.Parse(value)).InnerText;

                            }

                    //      break;

                    }

                    else if (theCell.DataType.Value == CellValues.Boolean)

                    {

                    //  case CellValues.Boolean:

                            switch (value)

                            {

                                case "0":

                                    value = "FALSE";

                                    break;

                                default:

                                    value = "TRUE";

                                    break;

                            }

                    }

                    //      break;

                    //}

                }

​

​

            }

​

            return value;

​

​

        }

​

        public static string GetCellValue(string fileName,

                                          string sheetName,

                                          string addressName)

        {

            string value = null;

​

            // Open the spreadsheet document for read-only access.

            using (SpreadsheetDocument document =

                   SpreadsheetDocument.Open(fileName, false))

            {

                // Retrieve a reference to the workbook part.

                WorkbookPart wbPart = document.WorkbookPart;

​

                // Find the sheet with the supplied name, and then use that 

                // Sheet object to retrieve a reference to the first worksheet.

                Sheet theSheet = wbPart.Workbook.Descendants<Sheet>().

                    Where(s => s.Name == sheetName).FirstOrDefault();

​

                // Throw an exception if there is no sheet.

                if (theSheet == null)

                {

                    throw new ArgumentException("sheetName");

                }

​

                // Retrieve a reference to the worksheet part.

                WorksheetPart wsPart =

                    (WorksheetPart)(wbPart.GetPartById(theSheet.Id));

​

                // Use its Worksheet property to get a reference to the cell 

                // whose address matches the address you supplied.

                Cell theCell = wsPart.Worksheet.Descendants<Cell>().

                    Where(c => c.CellReference == addressName).FirstOrDefault();

​

                // If the cell does not exist, return an empty string.

                if (theCell.InnerText.Length > 0)

                {

                    value = theCell.InnerText;

​

                    // If the cell represents an integer number, you are done. 

                    // For dates, this code returns the serialized value that 

                    // represents the date. The code handles strings and 

                    // Booleans individually. For shared strings, the code 

                    // looks up the corresponding value in the shared string 

                    // table. For Booleans, the code converts the value into 

                    // the words TRUE or FALSE.

                    if (theCell.DataType != null)

                    {

                        //switch (theCell.DataType.Value)

                        //{

                        //  case CellValues.SharedString:

                        if (theCell.DataType.Value == CellValues.SharedString)

                        {

                                // For shared strings, look up the value in the

                                // shared strings table.

                                var stringTable =

                                    wbPart.GetPartsOfType<SharedStringTablePart>()

                                    .FirstOrDefault();

​

                                // If the shared string table is missing, something 

                                // is wrong. Return the index that is in

                                // the cell. Otherwise, look up the correct text in 

                                // the table.

                                if (stringTable != null)

                                {

                                    value =

                                        stringTable.SharedStringTable

                                        .ElementAt(int.Parse(value)).InnerText;

                                }

                        //      break;

                        }

                        else if (theCell.DataType.Value == CellValues.Boolean)

                        {

                        //  case CellValues.Boolean:

                                switch (value)

                                {

                                    case "0":

                                        value = "FALSE";

                                        break;

                                    default:

                                        value = "TRUE";

                                        break;