thinkphpv5.0怎么在关闭浏览器即删除session或存有sessionid的cookie?-CSDN问答

thinkphpv5.0怎么在关闭浏览器即删除session或存有sessionid的cookie? 5C: thinkphp框架v5.0，怎么在关闭浏览器即删除session或存有sessionid的cookie?; 发布于：2017.06.19 08:59

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: qq_34465428

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http://blog.csdn.net/i_am_little_red/article/details/8659643

发布于：2017.06.19 17:10

评论 1 |

: 见了你女王大人喵姐还不跪下

声望： 106175

: qq_34465428 您好，苏小喵，怎么才能实现我说的那样呢，本人菜鸟，session理解的不是很深，问题挺急的，还望帮帮忙，解决了，我再给您加20C; 2 年多之前回复

浏览器关闭后，session|cookie里的东西自然会清空,也可以自己设置
session.setMaxInactiveInterval(900);
参数900单位是秒，即在没有活动15分钟后，session将失效。设置为-1将永不关闭。
这里要注意这个session设置的时间是根据服务器来计算的，而不是客户端。所以如果是在调试程序，应该是修改服务器端时间来测试，而不是客户端

发布于：2017.06.20 06:49

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: Mr丶Guo

声望： 48

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请求python3.7中的url中文问题: import string import urllib import json import time from quopri import quote ISOTIMEFORMAT='%Y-%m-%d %X' outputFile = 'douban_movie.txt' fw = open(outputFile, 'w') fw.write('id;title;url;cover;rate\n') headers = {} headers["Accept"] = "text/html,application/xhtml+xml,application/xml;q=0.9,image/webp,*/*;q=0.8" headers["Accept-Encoding"] = "gzip, deflate, sdch" headers["Accept-Language"] = "zh-CN,zh;q=0.8,en;q=0.6,zh-TW;q=0.4,ja;q=0.2" # headers["Cache-Control"] = "max-age=0" headers["Connection"] = "keep-alive" # headers["Cookie"] = 'bid="LJSWKkSUfZE"; ll="108296"; __utmt=1; regpop=1; _pk_id.100001.4cf6=32aff4d8271b3f15.1442223906.2.1442237186.1442224653.; _pk_ses.100001.4cf6=*; __utmt_douban=1; __utma=223695111.736177897.1442223906.1442223906.1442236473.2; __utmb=223695111.0.10.1442236473; __utmc=223695111; __utmz=223695111.1442223906.1.1.utmcsr=(direct)|utmccn=(direct)|utmcmd=(none); __utma=30149280.674845100.1442223906.1442236473.1442236830.3; __utmb=30149280.4.9.1442237186215; __utmc=30149280; __utmz=30149280.1442236830.3.2.utmcsr=baidu|utmccn=(organic)|utmcmd=organic; ap=1' headers["Host"] = "movie.douban.com" headers["Referer"] = "http://movie.douban.com/" headers["Upgrade-Insecure-Requests"] = 1 headers["User-Agent"] = "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_10_4) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/45.0.2454.85 Safari/537.36" # 获取tag request = urllib.request.Request(url="http://movie.douban.com/j/search_tags?type=movie") response = urllib.request.urlopen(request) tags = json.loads(response.read())['tags'] # 开始爬取 print ("********** START **********") print (time.strftime( ISOTIMEFORMAT, time.localtime() )) for tag in tags: print ("Crawl movies with tag: " + tag) print (time.strftime( ISOTIMEFORMAT, time.localtime() )) start = 0 while True: url = "http://movie.douban.com/j/search_subjects?type=movie&tag=" +tag.encode("utf-8")+"&page_limit=20&page_start="+str(start) #url = quote(url, safe=string.printable) request = urllib.request.Request(url=url) response = urllib.request.urlopen(request) movies = json.loads(response.read())['subjects'] if len(movies) == 0: break for item in movies: rate = item['rate'] title = item['title'] url = item['url'] cover = item['cover'] movieId = item['id'] record = str(movieId) + ';' + title + ';' + url + ';' + cover + ';' + str(rate) + '\n' fw.write(record.encode('utf-8')) print (tag + '\t' + title) start = start + 20 fw.close() ![图片说明](https://img-ask.csdn.net/upload/201906/02/1559463756_939891.png) ![图片说明](https://img-ask.csdn.net/upload/201906/02/1559463786_165838.png) ![图片说明](https://img-ask.csdn.net/upload/201906/02/1559463796_447639.png) ![图片说明](https://img-ask.csdn.net/upload/201906/02/1559463972_311111.png)

小白用python编写的爬虫小程序突然失效，是ip被封还是其他问题，求教？: # 编写的python小程序，爬取豆瓣评论，昨天还可以用，今天就失效了，试过很多种解决方法，都没有成功，求教？ ## 可能的问题是ip被封或者cookies？主程序 ``` # -*- coding: utf-8 -*- import ReviewCollection from snownlp import SnowNLP from matplotlib import pyplot as plt #画饼状图 def PlotPie(ratio, labels, colors): plt.figure(figsize=(6, 8)) explode = (0.05,0) patches,l_text,p_text = plt.pie(ratio,explode=explode,labels=labels,colors=colors, labeldistance=1.1,autopct='%3.1f%%',shadow=False, startangle=90,pctdistance=0.6) plt.axis('equal') plt.legend() plt.show() def main(): #初始url url = 'https://movie.douban.com/subject/30176393/' #保存评论文件 outfile = 'review.txt' (reviews, sentiment) = ReviewCollection.CollectReivew(url, 20, outfile) numOfRevs = len(sentiment) print(numOfRevs) #print(sentiment) positive = 0.0 negative = 0.0 accuracy = 0.0 #利用snownlp逐条分析每个评论的情感 for i in range(numOfRevs): # if sentiment[i] == 1: # positive += 1 # else: # negative += 1 print(reviews[i]+str(i)) sent = SnowNLP(reviews[i]) predict = sent.sentiments #print(predict,end=' ') if predict >= 0.5: positive += 1 if sentiment[i] == 1: accuracy += 1 else: negative += 1 if sentiment[i] == 0: accuracy += 1 #计算情感分析的精度 print('情感预测精度为: ' + str(accuracy/numOfRevs)) # print(positive,negative) #绘制饼状图 #定义饼状图的标签 labels = ['Positive Reviews', 'Negetive Reviews'] #每个标签占的百分比 ratio = [positive/numOfRevs, negative/numOfRevs] # print(ratio[0],ratio[1]) colors = ['red','yellowgreen'] PlotPie(ratio, labels, colors) if __name__=="__main__": main() ``` 次程序 ``` #!/usr/bin/python # -*- coding: utf-8 -*- from bs4 import BeautifulSoup import requests import csv import re import time import codecs import random def StartoSentiment(star): ''' 将评分转换为情感标签，简单起见我们将大于或等于三星的评论当做正面评论小于三星的评论当做负面评论 ''' score = int(star[-2]) if score >= 3: return 1 else: return 0 def CollectReivew(root, n, outfile): ''' 收集给定电影url的前n条评论 ''' reviews = [] sentiment = [] urlnumber = 0 headers = {'user-agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/73.0.3683.75 Safari/537.36','Connection': 'close','cookie': 'll="108303"; bid=DOSjemTnbi0; _pk_ses.100001.4cf6=*; ap_v=0,6.0; __utma=30149280.1517093765.1576143949.1576143949.1576143949.1; __utmb=30149280.0.10.1576143949; __utmc=30149280; __utmz=30149280.1576143949.1.1.utmcsr=(direct)|utmccn=(direct)|utmcmd=(none); __utma=223695111.1844590374.1576143949.1576143949.1576143949.1; __utmc=223695111; __utmz=223695111.1576143949.1.1.utmcsr=(direct)|utmccn=(direct)|utmcmd=(none); __utmt=1; __yadk_uid=iooXpNnGnHUza2r4ru7uRCpa3BXeHG0l; dbcl2="207917948:BFXaC6risAw"; ck=uFvj; _pk_id.100001.4cf6=4c11da64dc6451d3.1576143947.1.1576143971.1576143947.; __utmb=223695111.2.10.1576143949'} proxies = { "http":'http://121.69.46.177:9000',"https": 'https://122.136.212.132:53281'}#121.69.46.177:9000218.27.136.169:8085 122.136.212.132:53281 while urlnumber < n: url = root + 'comments?start=' + str(urlnumber) + '&limit=20&sort=new_score&status=P' print('要收集的电影评论网页为：' + url) # try: html = requests.get(url, headers = headers, proxies = proxies,timeout = 15) # # except Exception as e: # break soup = BeautifulSoup(html.text.encode("utf-8"),'html.parser') #通过正则表达式匹配评论和评分 for item in soup.find_all(name='span',attrs={'class':re.compile(r'^allstar')}): sentiment.append(StartoSentiment(item['class'][0])) #for item in soup.find_all(name='p',attrs={'class':''}): # if str(item).find('class="pl"') < 0: # r = str(item.string).strip() # reviews.append(r) comments = soup.find_all('span','short') for comment in comments: # print(comment.getText()+'\n') reviews.append(comment.getText()+'\n') urlnumber = urlnumber + 20 time.sleep(5) with codecs.open(outfile, 'w', 'utf-8') as output: for i in range(len(sentiment)): output.write(reviews[i] + '\t' + str(sentiment[i]) + '\n') return (reviews, sentiment) ``` ![图片说明](https://img-ask.csdn.net/upload/201912/12/1576149313_611712.jpg) 不设置参数proxies时错误如下：![图片说明](https://img-ask.csdn.net/upload/201912/12/1576149408_985833.jpg) 求教解决方法，感谢！！！！

tomcat配置oracle数据源帮帮忙！还有是不是在context.xml中配数据源的: 项目的web.xml中 ![图片说明](https://img-ask.csdn.net/upload/201605/19/1463646690_849773.png) tomcat的config下的context.xml中 <Context> <WatchedResource>WEB-INF/web.xml</WatchedResource> <Resource --------**从这开始是我自己加的** name="jdbc/oracle" type="javax.sql.DataSource" driverClassName="oracle.jdbc.driver.OracleDriver" maxIdle="2" maxWait="5000" username="ses" password="ses" url="jdbc:oracle:thin:@localhost:1521:orcl" maxActive="4"/> ----------**结束** </Context> java代码获取数据源 private DataSource getDataSource() { DataSource ds = null; try { Context ctx = new InitialContext(); ds = (DataSource) ctx.lookup("java:comp/env/jdbc/oracle"); } catch (Exception e) { System.out.println("数据源获取失败"); e.printStackTrace(); } return ds; } 报错：javax.naming.NameNotFoundException: Name [jdbc/oracle] is not bound in this Context. Unable to find [jdbc].

tomcat部署项目后卡住不动，没有错误信息。: 项目没有问题，从svn导出的，其他组员都好用。 tomcat没问题启动后卡在2016-8-3 10:48:43 org.apache.catalina.core.AprLifecycleListener init 信息: The APR based Apache Tomcat Native library which allows optimal performance in production environments was not found on the java.library.path: C:\Users\yfersm\AppData\Local\MyEclipse\Common\binary\com.sun.java.jdk.win32.x86_64_1.6.0.013\bin;C:\Users\yfersm\Desktop\tomcat-6.0.18\bin 2016-8-3 10:48:43 org.apache.coyote.http11.Http11Protocol init 信息: Initializing Coyote HTTP/1.1 on http-8080 2016-8-3 10:48:43 org.apache.catalina.startup.Catalina load 信息: Initialization processed in 1278 ms 2016-8-3 10:48:43 org.apache.catalina.core.StandardService start 信息: Starting service Catalina 2016-8-3 10:48:43 org.apache.catalina.core.StandardEngine start 信息: Starting Servlet Engine: Apache Tomcat/6.0.18 2016-8-3 10:48:50 org.apache.catalina.core.ApplicationContext log 信息: Initializing Spring root WebApplicationContext - Root WebApplicationContext: initialization started - Refreshing Root WebApplicationContext: startup date [Wed Aug 03 10:48:51 CST 2016]; root of context hierarchy - Loading XML bean definitions from file [C:\Users\yfersm\Desktop\tomcat-6.0.18\webapps\ses\WEB-INF\classes\applicationContext.xml] - JSR-330 'javax.inject.Named' annotation found and supported for component scanning - Loading XML bean definitions from file [C:\Users\yfersm\Desktop\tomcat-6.0.18\webapps\ses\WEB-INF\classes\applicationQuartz.xml] - Loading properties file from class path resource [jdbc.properties] - JSR-330 'javax.inject.Inject' annotation found and supported for autowiring - Pre-instantiating singletons in org.springframework.beans.factory.support.DefaultListableBeanFactory@46d999a: defining beans [LoadCodesServlet,assetsService,assetssService,assetsClassifyService,cityService,companyManageService,deptService,evaluateService,evaluateAssetsService,evaluateClassifyService,evaluateSystemService,generateReportService,logService,loginService,passwdService,operationService,otherManageService,roleService,systemEvaluateService,systemEvaluateProjectService,userService,userManageService,org.springframework.context.annotation.internalConfigurationAnnotationProcessor,org.springframework.context.annotation.internalAutowiredAnnotationProcessor,org.springframework.context.annotation.internalRequiredAnnotationProcessor,org.springframework.context.annotation.internalCommonAnnotationProcessor,org.springframework.context.support.PropertySourcesPlaceholderConfigurer#0,dataSource,txManager,txAdvice,org.springframework.aop.config.internalAutoProxyCreator,ServicePointcut,org.springframework.aop.support.DefaultBeanFactoryPointcutAdvisor#0,org.springframework.transaction.annotation.AnnotationTransactionAttributeSource#0,org.springframework.transaction.interceptor.TransactionInterceptor#0,org.springframework.transaction.config.internalTransactionAdvisor,sqlSessionFactory,org.mybatis.spring.mapper.MapperScannerConfigurer#0,rc,rightInterceptor,nativeJdbcExtractor,oracleLobHandler,operationAction,myScheduler,org.springframework.context.annotation.ConfigurationClassPostProcessor$ImportAwareBeanPostProcessor#0,assetsMapper,assetssMapper,assetsClassifyMapper,companyManageMapper,deptMapper,evaluateMapper,evaluateAssetsMapper,evaluateClassifyMapper,evaluateSystemMapper,generateReportMapper,logMapper,loginMapper,passwdMapper,otherManageMapper,roleMapper,systemEvaluateMapper,systemEvaluateProjectMapper,userMapper,userManageMapper]; root of factory hierarchy 不动了

Informix 锁表杀不掉进程: 数据库版本：INFORMIX11.5 有一张表REINSINTERFACELOG 单标数据量大概有一千万条，今天执行了一条删除语句：DELETE REINSINTERFACELOG WHERE BUSINESSTYPE = 'SYN_TREATY',如果删除的话大概有200万条左右，但是锁表了！按照一般的处理流程，找到了锁表的sessionid：694923，然后执行：onstat -g ses 694923 输出如下图：![图片说明](https://img-ask.csdn.net/upload/201606/06/1465190840_554185.jpg) TMD的PID=0，这个怎么删除呢？

为啥接受不到数据AJAX: ``` <script src ="Js/jquery-3.4.1.js"> </script> <script> ////定义变量保存XmlHttpRequest对象 //var xmlHttp = null; ////用于创建AJAX请求核心对象XmlHttpRequest //function createXmlHttpRequest() { // try // { // xmlHttp = new XMLHttpRequest();//适用于IE7+,Fireiox,Chrome等主流浏览器 // } // catch (Error) // { // xmlHttp = new ActiveXObject("Microsoft.XMLHTTP");//适用于IE低版本7以下的 // } //} //$(function () { // $("#ImgButOn").click(function () { // //调用函数创建XmlHttpRequest对象 // createXmlHttpRequest(); // //获得需要提交给服务器的数据 // var UserId = $("#TxtUser").val(); // var UserPwd = $("#TxtPwd").val(); // //服务端路劲，同时把数据传送到服务器地址拦 // var serverPath = "server.ashx?UserId=" + UserId + "&UserPwd=" + UserPwd + ""; // //设置XmlHttpRequest对象参数 // xmlHttp.open("get", serverPath, true); // //服务端处理结果，使用XmlHttpRequest对象状态监测 // xmlHttp.onreadystatechange = clicentCallback; // //通过XmlHttpRequest对象发送请求 // xmlHttp.send(); // }) //}) //function clicentCallback() { // //XmlHttpRequest对象状态从开始发送请求到服务端经历了4个分别是： // //返回值 0 ：请求位初始化 // //返回值 1 ：和服务端连接已经建立 // //返回值 2 : 请求已被服务端接受 // //返回值 3 ：请求处理中 // //返回值 4 ：请求处理完 // if (xmlHttp.readyState == 4) { // if (xmlHttp.status == 200) { // //获得服务端返回给客户端的结果（纯文本，xml，josn，html） // var msg = xmlHttp.responseText; // alert(msg); // } // } //} //#Jquery封装函数使用AJAX异步请求 $(function () { $("#ImgButOn").click(function () { $.ajax({ url:"server.ashx",//请求服务端地址 type:"get",//请求方式 data:{ "UserId": $("#TxtUser").val(), "UserPwd":$("#TxtPwd").val() }//发送到服务端的数据 success:function (date, status, xmlhttp) {//服务端成功处理时回调函数 alert(date + ":" + status); }, error: function () {//服务端失败时的回调函数 alert("请求未成功！"); }, dataType:"text"//预期服务端发回数据类型 }) }) </script> public void ProcessRequest(HttpContext context) { SES_Model.User user = new SES_Model.User(); //服务端要获得客户端以AJAX请求发送过来的数据 string UserId = context.Request.QueryString["UserId"]; string UserPwd = context.Request.QueryString["UserPwd"]; //在服务器中处理数据 user = SES_BLL.Users_Service.User_Enter(UserId, UserPwd); string msg = string.Empty; if (user != null) { msg = "ok"; } else { msg = "error!"; } context.Response.ContentType = "text/plain"; context.Response.Write(null); } ```

fedora开机慢，要100秒: 我查看了dmesg消息，但是看不太懂，把间隔比较大的几段贴出来：（17.69秒到28.96秒，45秒到98秒） [ 16.280941] audit: type=1130 audit(1450942724.676:64): pid=1 uid=0 auid=4294967295 ses=4294967295 msg='unit=systemd-udev-settle comm="systemd" exe="/usr/lib/systemd/systemd" hostname=? addr=? terminal=? res=success' [ 16.281360] audit: type=1130 audit(1450942724.677:65): pid=1 uid=0 auid=4294967295 ses=4294967295 msg='unit=systemd-fsck@dev-disk-by\x2duuid-9ef9a9e6\x2d0a9a\x2d406e\x2db983\x2df961ad9bf64d comm="systemd" exe="/usr/lib/systemd/systemd" hostname=? addr=? terminal=? res=success' [ 16.414021] audit: type=1130 audit(1450942724.809:66): pid=1 uid=0 auid=4294967295 ses=4294967295 msg='unit=systemd-rfkill@rfkill0 comm="systemd" exe="/usr/lib/systemd/systemd" hostname=? addr=? terminal=? res=success' [ 16.719894] audit: type=1130 audit(1450942725.115:67): pid=1 uid=0 auid=4294967295 ses=4294967295 msg='unit=systemd-fsck@dev-disk-by\x2duuid-CEEE\x2d4949 comm="systemd" exe="/usr/lib/systemd/systemd" hostname=? addr=? terminal=? res=success' [ 16.848056] audit: type=1130 audit(1450942725.243:68): pid=1 uid=0 auid=4294967295 ses=4294967295 msg='unit=dmraid-activation comm="systemd" exe="/usr/lib/systemd/systemd" hostname=? addr=? terminal=? res=success' [ 16.848110] audit: type=1131 audit(1450942725.243:69): pid=1 uid=0 auid=4294967295 ses=4294967295 msg='unit=dmraid-activation comm="systemd" exe="/usr/lib/systemd/systemd" hostname=? addr=? terminal=? res=success' [ 16.891764] EXT4-fs (sda2): mounted filesystem with ordered data mode. Opts: (null) [ 16.993826] audit: type=1130 audit(1450942725.389:70): pid=1 uid=0 auid=4294967295 ses=4294967295 msg='unit=systemd-fsck@dev-disk-by\x2duuid-65459c95\x2d6d35\x2d4977\x2dbb74\x2d99e0f60fa80b comm="systemd" exe="/usr/lib/systemd/systemd" hostname=? addr=? terminal=? res=success' [ 17.403613] EXT4-fs (sda5): mounted filesystem with ordered data mode. Opts: (null) [ 17.567164] audit: type=1130 audit(1450942725.962:71): pid=1 uid=0 auid=4294967295 ses=4294967295 msg='unit=nfs-config comm="systemd" exe="/usr/lib/systemd/systemd" hostname=? addr=? terminal=? res=success' [ 17.693347] audit: type=1130 audit(1450942726.088:72): pid=1 uid=0 auid=4294967295 ses=4294967295 msg='unit=dracut-shutdown comm="systemd" exe="/usr/lib/systemd/systemd" hostname=? addr=? terminal=? res=success' [ 28.964907] nf_conntrack version 0.5.0 (16384 buckets, 65536 max) [ 29.201034] ip6_tables: (C) 2000-2006 Netfilter Core Team [ 30.033773] Ebtables v2.0 registered [ 30.313792] bridge: automatic filtering via arp/ip/ip6tables has been deprecated. Update your scripts to load br_netfilter if you need this. [ 36.400766] IPv6: ADDRCONF(NETDEV_UP): eno1: link is not ready [ 36.608428] r8169 0000:08:00.0 eno1: link down [ 36.608514] IPv6: ADDRCONF(NETDEV_UP): eno1: link is not ready [ 36.611293] IPv6: ADDRCONF(NETDEV_UP): wlo1: link is not ready [ 37.013733] IPv6: ADDRCONF(NETDEV_UP): wlo1: link is not ready [ 37.774904] IPv6: ADDRCONF(NETDEV_UP): wlo1: link is not ready [ 38.718088] wlo1: authenticate with 6c:e8:73:f9:54:d2 [ 38.728323] wlo1: direct probe to 6c:e8:73:f9:54:d2 (try 1/3) [ 38.928705] wlo1: direct probe to 6c:e8:73:f9:54:d2 (try 2/3) [ 39.129798] wlo1: direct probe to 6c:e8:73:f9:54:d2 (try 3/3) [ 39.330985] wlo1: authentication with 6c:e8:73:f9:54:d2 timed out [ 40.358269] wlo1: authenticate with 6c:e8:73:f9:54:d2 [ 40.376166] wlo1: direct probe to 6c:e8:73:f9:54:d2 (try 1/3) [ 40.576755] wlo1: direct probe to 6c:e8:73:f9:54:d2 (try 2/3) [ 40.777854] wlo1: direct probe to 6c:e8:73:f9:54:d2 (try 3/3) [ 40.979030] wlo1: authentication with 6c:e8:73:f9:54:d2 timed out [ 42.406331] wlo1: authenticate with 6c:e8:73:f9:54:d2 [ 42.424432] wlo1: direct probe to 6c:e8:73:f9:54:d2 (try 1/3) [ 42.625109] wlo1: direct probe to 6c:e8:73:f9:54:d2 (try 2/3) [ 42.826155] wlo1: direct probe to 6c:e8:73:f9:54:d2 (try 3/3) [ 43.027281] wlo1: authentication with 6c:e8:73:f9:54:d2 timed out [ 44.954940] wlo1: authenticate with 6c:e8:73:f9:54:d2 [ 44.973991] wlo1: direct probe to 6c:e8:73:f9:54:d2 (try 1/3) [ 45.174662] wlo1: direct probe to 6c:e8:73:f9:54:d2 (try 2/3) [ 45.375778] wlo1: send auth to 6c:e8:73:f9:54:d2 (try 3/3) [ 45.377083] wlo1: authenticated [ 45.377784] wlo1: associate with 6c:e8:73:f9:54:d2 (try 1/3) [ 45.381289] wlo1: RX AssocResp from 6c:e8:73:f9:54:d2 (capab=0x431 status=0 aid=5) [ 45.381569] wlo1: associated [ 45.381583] IPv6: ADDRCONF(NETDEV_CHANGE): wlo1: link becomes ready [ 53.411673] fuse init (API version 7.23) [ 98.650216] [drm] probing gen 2 caps for device 8086:151 = 261ac83/e [ 98.650223] [drm] PCIE gen 3 link speeds already enabled [ 98.655399] [drm] PCIE GART of 2048M enabled (table at 0x0000000000040000). [ 98.655516] radeon 0000:01:00.0: WB enabled [ 98.655521] radeon 0000:01:00.0: fence driver on ring 0 use gpu addr 0x0000000040000c00 and cpu addr 0xffff880157528c00 [ 98.655524] radeon 0000:01:00.0: fence driver on ring 1 use gpu addr 0x0000000040000c04 and cpu addr 0xffff880157528c04 [ 98.655527] radeon 0000:01:00.0: fence driver on ring 2 use gpu addr 0x0000000040000c08 and cpu addr 0xffff880157528c08 [ 98.655529] radeon 0000:01:00.0: fence driver on ring 3 use gpu addr 0x0000000040000c0c and cpu addr 0xffff880157528c0c [ 98.655532] radeon 0000:01:00.0: fence driver on ring 4 use gpu addr 0x0000000040000c10 and cpu addr 0xffff880157528c10 [ 98.655535] radeon 0000:01:00.0: VCE init error (-22). [ 98.795578] [drm] ring test on 0 succeeded in 1 usecs [ 98.795582] [drm] ring test on 1 succeeded in 1 usecs [ 98.795585] [drm] ring test on 2 succeeded in 1 usecs [ 98.795592] [drm] ring test on 3 succeeded in 3 usecs [ 98.795597] [drm] ring test on 4 succeeded in 3 usecs [ 98.795623] [drm] ib test on ring 0 succeeded in 0 usecs [ 98.795644] [drm] ib test on ring 1 succeeded in 0 usecs [ 98.795665] [drm] ib test on ring 2 succeeded in 0 usecs [ 98.795682] [drm] ib test on ring 3 succeeded in 0 usecs [ 98.795694] [drm] ib test on ring 4 succeeded in 0 usecs

Hibernate的getSession.save()方法无法保存对象！急，waitting online！: 我使用SSH开发的一项目最近遇到一个非常棘手的问题，有一张订单表SaleOrder,字段稍微有点多，添加数据的时候由于是同时插入多个表的记录所以放在一个Transaction中保持一致性,DEBUG调试数据执行到插入订单对象的语句时就卡住不动了，也不报异常，本人对Hibernate的知识了解甚少，希望各位高人多多指教。是不是主键策略的问题？起初我以为是连接池的问题，但是其他的插入查询语句都正常，唯独对订单的插入和修改不行。创建订单的Dao函数: [code="java"] public boolean createSaleOrder(SaleOrder so, Orderappend oa, List<SaleProduct> spList) { Session ses = getSessionFactory().openSession(); Transaction tran = ses.beginTransaction(); try { tran.begin(); Serializable serialOa = ses.save(oa); Orderappend orderappend = (Orderappend) ses.get(Orderappend.class, serialOa); so.setOrderappend(orderappend);// 设置订单附加信息 Serializable serialSo = ses.save(so); // DEBUG调试时执行到这里就卡住不动了，show_sql语句也打印出来了 SaleOrder tempSo = (SaleOrder) ses.get(SaleOrder.class, serialSo); for (SaleProduct sp : spList) { sp.setSaleOrder(tempSo); ses.save(sp); } tran.commit(); } catch (Exception ex) { tran.rollback(); } finally { ses.close(); } return tran.wasCommitted(); } [/code] SaleOrder表是使用MyEclipse自动生成的映射文件: [code="xml"] <?xml version="1.0" encoding="utf-8"?> <!DOCTYPE hibernate-mapping PUBLIC "-//Hibernate/Hibernate Mapping DTD 3.0//EN" "http://hibernate.sourceforge.net/hibernate-mapping-3.0.dtd">  <hibernate-mapping> <class name="com.bom_mis.entity.saleEntity.SaleOrder" table="sale_order" schema="my_serv" catalog="eectrl_db"> <id name="soId" type="java.lang.Integer"> <column name="so_id" /> <generator class="native" /> </id> <many-to-one name="orderrevokecause" class="com.bom_mis.entity.saleEntity.Orderrevokecause" fetch="select"> <column name="so_orc_id" /> </many-to-one> <many-to-one name="orderappend" class="com.bom_mis.entity.saleEntity.Orderappend" fetch="select"> <column name="so_oa_id" not-null="true" /> </many-to-one> <property name="soState" type="java.lang.Integer"> <column name="so_state" /> </property> <property name="soType" type="java.lang.Byte"> <column name="so_type" /> </property> <property name="soIsCompact" type="java.lang.Byte"> <column name="so_is_compact" /> </property> <property name="soQualityKeepTime" type="java.lang.Integer"> <column name="so_quality_keep_time" /> </property> <property name="soTrafficWise" type="java.lang.Integer"> <column name="so_traffic_wise" /> </property> <property name="soTrafficRate" type="java.lang.Integer"> <column name="so_traffic_rate" /> </property> <property name="soRequireId" type="java.lang.Integer"> <column name="so_require_id" not-null="true" /> </property> <property name="soConsignId" type="java.lang.Integer"> <column name="so_consign_id" not-null="true" /> </property> <property name="soDoOrderMember" type="java.lang.String" update="false"> <column name="so_do_order_member" length="60" /> </property> <property name="soProvideSn" type="java.lang.String"> <column name="so_provide_sn" length="100" not-null="true" /> </property> <property name="soRequireName" type="java.lang.String"> <column name="so_require_name" length="300" /> </property> <property name="soConsignName" type="java.lang.String"> <column name="so_consign_name" length="300" /> </property> <property name="soDeliveryTime" type="java.lang.String"> <column name="so_delivery_time" length="100" not-null="true" /> </property> <property name="soNumberType" type="java.lang.String"> <column name="so_number_type" length="60" /> </property> <property name="soPactNumber" type="java.lang.String"> <column name="so_pact_number" length="100" not-null="true" unique="true" /> </property> <property name="soClientNumber" type="java.lang.String"> <column name="so_client_number" length="100" /> </property> <property name="soSignAddress" type="java.lang.String"> <column name="so_sign_address" length="60" /> </property> <property name="soSignDate" type="java.util.Date"> <column name="so_sign_date" length="23" /> </property> <property name="soCreateDate" type="java.util.Date" insert="false" update="false"> <column name="so_create_date" length="23" /> </property> <property name="soProductStandard" type="java.lang.String"> <column name="so_product_standard" length="100" /> </property> <property name="soArrivePlatform" type="java.lang.String"> <column name="so_arrive_platform" length="100" /> </property> <property name="soAddressDetail" type="java.lang.String"> <column name="so_address_detail" length="600" /> </property> <property name="soRandomBackup" type="java.lang.String"> <column name="so_random_backup" length="300" /> </property> <property name="soBalanceWise" type="java.lang.String"> <column name="so_balance_wise" length="300" /> </property> <set name="salepaymentthings" inverse="true"> <key> <column name="paymentsoid" /> </key> <one-to-many class="com.bom_mis.entity.saleEntity.Salepaymentthing" /> </set> <set name="consignOrders" inverse="true"> <key> <column name="co_so_id" not-null="true" /> </key> <one-to-many class="com.bom_mis.entity.saleEntity.ConsignOrder" /> </set> <set name="produceAdviceOrders" inverse="true"> <key> <column name="pao_so_id" not-null="true" /> </key> <one-to-many class="com.bom_mis.entity.saleEntity.ProduceAdviceOrder" /> </set> <set name="saleProducts" inverse="true"> <key> <column name="sp_so_id" /> </key> <one-to-many class="com.bom_mis.entity.saleEntity.SaleProduct" /> </set> <set name="modifySaleOrders" inverse="true"> <key> <column name="so_saleorder_id" /> </key> <one-to-many class="com.bom_mis.entity.saleEntity.ModifySaleOrder" /> </set> </class> </hibernate-mapping> [/code] [b]问题补充：[/b] 还有修改订单的函数也有这种现象，所以我感觉是订单对象的问题，跟连接池和其他应该没关系，我用的是C3p0和jtds。

hql语句的问题，update同时set多个值，语句错误。: java.lang.IllegalArgumentException: node to traverse cannot be null! tomcat报上面的错误下面是我的hql语句， String hql = "update Teacher t set t.tsex=? and t.ttelephone=? and t.teach_year=? and t.subject_One=? and t.teach_class_One=? where t.tusername=?"; Query sqlquery = ses.createQuery(hql); sqlquery.setParameter(0, teacher.getTsex()); sqlquery.setParameter(1, teacher.getTtelephone()); sqlquery.setParameter(2, teacher.getTeach_year()); sqlquery.setParameter(3, sOne); sqlquery.setParameter(4, cOne); sqlquery.setParameter(5, nowLogin);

hadoop集群添加kerberos认证后namenode启动报ipc认证失败?: 问题描述： namenode连接journalnode报错，zkfc连接namenode也报错，都是同样的错。 namenode错误日志： 2019-07-16 18:55:52,617 INFO org.apache.hadoop.ipc.Client: Retrying connect to server: hostname/ip:8485. Already tried 4 time(s); retry policy is RetryUpToMaximumCountWithFixedSleep(maxRetries=10, sleepTime=1000 MILLISECONDS) 2019-07-16 18:55:52,616 INFO org.apache.hadoop.ipc.Client: Retrying connect to server: hostname/ip:8485. Already tried 4 time(s); retry policy is RetryUpToMaximumCountWithFixedSleep(maxRetries=10, sleepTime=1000 MILLISECONDS) 2019-07-16 18:55:53,438 INFO org.apache.hadoop.hdfs.qjournal.client.QuorumJournalManager: Waited 6001 ms (timeout=20000 ms) for a response for selectInputStreams. No responses yet. 2019-07-16 18:55:53,618 INFO org.apache.hadoop.ipc.Client: Retrying connect to server: hostname/ip:8485. Already tried 5 time(s); retry policy is RetryUpToMaximumCountWithFixedSleep(maxRetries=10, sleepTime=1000 MILLISECONDS) 2019-07-16 18:55:53,618 INFO org.apache.hadoop.ipc.Client: Retrying connect to server: hostname/ip:8485. Already tried 5 time(s); retry policy is RetryUpToMaximumCountWithFixedSleep(maxRetries=10, sleepTime=1000 MILLISECONDS) 2019-07-16 18:55:53,619 INFO org.apache.hadoop.ipc.Client: Retrying connect to server: hostname/ip:8485. Already tried 5 time(s); retry policy is RetryUpToMaximumCountWithFixedSleep(maxRetries=10, sleepTime=1000 MILLISECONDS) 2019-07-16 18:55:54,439 INFO org.apache.hadoop.hdfs.qjournal.client.QuorumJournalManager: Waited 7003 ms (timeout=20000 ms) for a response for selectInputStreams. No responses yet. journalnode错误日志： 2019-07-16 18:56:10,836 WARN SecurityLogger.org.apache.hadoop.ipc.Server: Auth failed for ip:port:null (GSS initiate failed) with true cause: (GSS initiate failed) 2019-07-16 18:56:11,939 WARN SecurityLogger.org.apache.hadoop.ipc.Server: Auth failed for ip:port:null (GSS initiate failed) with true cause: (GSS initiate failed) 2019-07-16 18:56:12,391 WARN SecurityLogger.org.apache.hadoop.ipc.Server: Auth failed for ip:port:null (GSS initiate failed) with true cause: (GSS initiate failed) 2019-07-16 18:56:13,341 WARN SecurityLogger.org.apache.hadoop.ipc.Server: Auth failed for ip:port:null (GSS initiate failed) with true cause: (GSS initiate failed) 2019-07-16 18:56:16,212 WARN SecurityLogger.org.apache.hadoop.ipc.Server: Auth failed for ip:port:null (GSS initiate failed) with true cause: (GSS initiate failed) 2019-07-16 18:56:17,871 WARN SecurityLogger.org.apache.hadoop.ipc.Server: Auth failed for ip:port:null (GSS initiate failed) with true cause: (GSS initiate failed) 2019-07-16 18:56:20,902 WARN SecurityLogger.org.apache.hadoop.ipc.Server: Auth failed for ip:port:null (GSS initiate failed) with true cause: (GSS initiate failed) 2019-07-16 18:56:21,081 WARN SecurityLogger.org.apache.hadoop.ipc.Server: Auth failed for ip:port:null (GSS initiate failed) with true cause: (GSS initiate failed) 查看了一下kdc的日志：可能问题在这里 Jul 16 17:03:50 hadoop01 krb5kdc[47](info): TGS_REQ (8 etypes {18 17 20 19 16 23 25 26}) 10.10.10.40: LOOKING_UP_SERVER: authtime 0, root/hadoop00@HADOOP.COM for host/hadoop01@HADOOP.COM, Server not found in Kerberos database Jul 16 17:03:50 hadoop01 krb5kdc[47](info): TGS_REQ (8 etypes {18 17 20 19 16 23 25 26}) 10.10.10.40: LOOKING_UP_SERVER: authtime 0, root/hadoop00@HADOOP.COM for host/hadoop00@HADOOP.COM, Server not found in Kerberos database Jul 16 17:03:52 hadoop01 krb5kdc[47](info): AS_REQ (3 etypes {17 16 23}) 10.10.10.40: ISSUE: authtime 1563267832, etypes {rep=17 tkt=18 ses=17}, root/hadoop00@HADOOP.COM for krbtgt/HADOOP.COM@HADOOP.COM Jul 16 17:03:53 hadoop01 krb5kdc[47](info): TGS_REQ (3 etypes {17 16 23}) 10.10.10.40: ISSUE: authtime 1563267832 , etypes {rep=17 tkt=18 ses=17}, root/hadoop00@HADOOP.COM for root/hadoop01@HADOOP.COM Jul 16 17:03:54 hadoop01 krb5kdc[47](info): TGS_REQ (8 etypes {18 17 20 19 16 23 25 26}) 10.10.10.40: LOOKING_UP_SERVER: authtime 0, root/hadoop00@HADOOP.COM for host/hadoop10@HADOOP.COM, Server not found in Kerberos database 所以怀疑问题处在这里，本地kinit root 和HTTP用户都是可以的，正常情况下应该是访问HTTP/hadoop01@HADOOP.COM 而不是host/hadoop01@HADOOP.COM 不知道这里为什么会出现host，请kerberos的大神指导一下

jsoup抓取dopostback的网页错误 ,是不是BODY出什么问题: package zfcg.ztb; import java.io.ByteArrayOutputStream; import java.io.DataOutputStream; import java.io.InputStream; import java.net.HttpURLConnection; import java.net.URL; import java.util.ArrayList; import java.util.List; import java.io.IOException; import java.util.HashMap; import java.util.Map; import org.jsoup.Jsoup; import org.jsoup.nodes.Document; import org.jsoup.nodes.Element; import org.jsoup.select.Elements; public class JxztbActivity { public static void main(String[] args) throws Throwable { for (int i = 1; i <= 3; i++) { System.out.println("test0"+ListData(i)); } } static List<String> ListData(int pageNo) throws Throwable { int table_number=0; Document doc = Jsoup.parse(getListData(pageNo)); Element ele = doc.select("td[height=500]").first(); Elements eles = ele.select("a"); int newclass=0; List<String> result = new ArrayList<String>(eles.size()); for (Element ele2 : eles) { String inittext = ele2.text(); String newsurl = ele2.attr("abs:href"); String newstime = ele2.parent().parent().select("td").last().text(); if (ele2.text().replace("更多信息", "").length() >= 2) { System.out.println("项目名称："+newclass+":"+inittext); System.out.println("链接："+newclass+":"+newsurl); System.out.println("招标时间："+newclass+":"+newstime); } result.add(ele.child(newclass).text()); newclass++; } return result; } static String getListData(int pageNo) throws Throwable { int table_number=0; URL url = new URL("http://ggzy.jiangxi.gov.cn/jxzbw/jyxx/002004/002004001/MoreInfo.aspx?CategoryNum=002004001"); HttpURLConnection conn = (HttpURLConnection) url.openConnection(); conn.setRequestMethod("POST"); conn.setRequestProperty("User-Agent", "Mozilla/5.0 (Windows NT 6.3; WOW64; Trident/7.0; rv:11.0) like Gecko"); conn.setDoInput(true); conn.setDoOutput(true); conn.connect(); String body = "__CSRFTOKEN=%2FwEFJDZiZTk0MWFhLWQyOTItNDM5My1hYTZhLTliZTQxZjJmNTQ3Zg%3D%3D&__EVENTTARGET=MoreInfoList1%24Pager&__VIEWSTATE=R8GA6T%2FIFGHg0Gb6XTFK3FRWaT%2BnnifWmbfVtNOsNxO8aGNCF9BvV0HlGq0NCTtFJ9Z%2FOB0SJrX5ocfMmneceh63ACvs4tmktSDuFT%2BQ%2Fj2UdQTyQH9sF1LqsGpBpaBMRI5ihQzcPnaoZSOI5y4wAcCT2eSyOIAJLzDfEahy8vHcO4rY5X1OgnRqUbqhAGYgciiDdJzOwhBLhOtH6KpEt6GD0PCWIYpVFGwufdKPRpBoyvMvVLxns62e4opbzTrVK2mOGWLS%2FF9b3YqhnYe2eTEllzjFQdzl7hJb%2FjB%2F46YVl9ABjjLZ3ZCw%2B28bT805n3aL8nlrByAuHCArCYh%2F2rD7hA52KBZ0WDP6AgnR%2Bw7TDhCchpWEvukASBok8AyUK%2B7Zx6JztNgDXcsn%2BzpcoMqr40%2BlnDwG1aoJIQ4y%2F%2BTLjieFXqu0cIcteyE6fCByvda3M7Drq%2Bzttil8VbGD1QQOPAeNnNSa3MBdqRsgh6BzfhD3LlqtCVPc3p5bukA4JaUCBdw0U9jaULfcXz8V0zBElOQUmOvTm5nMc%2FDp2clYlEhHNZ3w1%2BJwWgFwhSX%2BFcugoXQBMmsAexF9ibA%2FcMQ87Rl1aP4e%2Fcj%2B%2FHzBF%2Bpkh03mr%2BlsSkFN%2BDSEleVQ6hD0i7SToPdSAATi5bvVl96tXl7y8cI%2B7dHeqZiGV7cxcue1xuAzVbTfm3IrqlEtWS4ol8%2FAXmF7CUIRLKFayFsLgVDBfq%2FuHl0lxfv5L6yZyXvLoXDa41Mzwa812VHnwyYwNVRrdalfcbketek1F5nHFkeeaRNn9JEFIFsIyBKUx12p9P1E%2B%2B3MBkdiK3o%2BRwywLHwNJuWS%2Fi3U362Unj2nuQxyFndOBF%2FeHr%2Fby8jnLaZNWeLJjy578rRlYB1ggnM4qmuNwQqKBP0%2Biqa7mRKZlMsr8y7bq%2FKnO4%2BJcUyzNh2WeQnQlMT%2BRsWfgOIf3U6%2FxNgNNkwcJxggQao6AO1Jptj8JHJQXa9nu4Tu1dgR885Mexnueg5eMppcBP3fnIGE65%2Fd6ZBhww0f6rL%2B2IdLV9XEUgVvT8sED7eaNlLJymFQ8EkSZXfl0TTuZFezfXouhqaEvR5HMGlE5USdIfphpRH3fg4KXma6WtfxWtAHpqVZKmA9ii6JzLluqbvifl7Q4lGGNbXDi3FtdVUegXncyFoQ1tQoXigUVhOgq0wbe5xim918qTLP6nNC%2BFDiyg09JmFj98wgpAhmLA2bvlfci1jaFWMy5hEYz%2BP5OAbERPOaVkH8PLmXcdrJ9RCPf8rxLLQE7ReKs5NSTrwdVHe3MSTn8cartsPfiD8LejzyTduW5gHO6uCj0SFAOz9CsBspqlEyVT5AXACrDswjg169gPOtQ%2Fq5kipvk5Gn18Np3uMMFXgKYnNDfiJzUO2%2FEA36pEzcHj1DP%2BTiW5N7tcWln3ewRJ23Y6gXFD%2BlAX6OdMWKOEZdbtmJ%2B1a%2BvFhFXGGQverFGOPaGQp1hhWe9XB5wvHngNka6mkw9%2BuWcM%2BMZn1KxdM6wE%2BzvMYVjEL8K12JX6b38xqQRF3NOFR%2BzC4lvKzwaMyxGmH7g8S9wqt218PbVFEIEtNZH1oCxgI63%2BlQn5G%2FnfqIbk1FE0eu0HeQGvfMCxC9%2FS4%2FSEzYowgsOiHcNlZjAm%2FRPVpQqTvfuXGVHnEgjsKxnQxMB1EaHRXUa0rAZrJ7juFLurRin8QH6945EaXIJ8S1Hx84dotDj5FngVEYK6NqyvKlUixbs4H4Kz92vI49uyJXxLtEGOJ2ZCuVIzcE%2BBNDEFBMvd5qVbiIUqxw72qGUUHPZKYm10KxR10FtS1YGtRTEHLTlr5G0dAPa3sel9kYAjQyXTNFrkcWULeErpdyErVB3jSbAwPmujnu8hfDHCV%2BrzYnVy5L9Mmxk3pSNPuH1Vu9v8UY8CCD4TWc55U1iQr9Rh%2B2UricncYaG7AyWbPs9RcF2b6gRzNTPZNilWTvZZhIpo3hMbACfryhaJC%2F32FF0M7XgmsfgXe1Ir2hY0JjiIItKbnMgO64hJRJUUnM2ViHKQzorMq7GBL%2F47p%2F%2FV60VPNxovQ0KFLdjDlVwXsZspCEZyCiD0H3e6wNDrgKQnWJumoRmii%2F%2FJsO4MV5XZyb6CpWDTW1Kam%2FgveKxPC7VfajOxnYz63kA1Xn46IPsAqZENBgMR7gPOfbKAYuM9YXyxAyYAl9g6Y2ceXK8HqpWqjAXMCmk%2FOL8Ny03HLvg1lTth6Y2dYxEpRw05h9%2B0MmAvrEUZdzCVvlw3BTqlis3NBFXvXvDAQf5%2BH2A8allFp2SBAUNVeakknNQDiqdvewMMbG5Tubw9fp7UzbJbR2wihx4OWReiztXdJyRasdoUUwI0LXMWQgKLyaIc3UT9uzISnbinlcfNwUrjDlKl3BIeuduSnIV4mXE5S1K0OREcXIuLL5Vn2h9TSoCxquOWmsC42kF8mqWPXL2zLE7wTUJcwDD4ru4Qmozz6jJppayfGeId%2BeZN6owQF1k1im37PSftJhv3IP37vasnuAsRF3BQt8tMU5ue1IXmZzgufvxafd8FWD08L0RnKrhbEKGBmZ0dmEWTczG3a0078owGsAcw4M6E3kWlxAMm68EfQNtkRLZ5On%2FyHQfhQsrl0TF3cW9eAVv1ii3lZmgmVTafb%2FJLX%2BRz5BjpzBwiKHLbnrrm0edokZ%2Bqc9CRvhMSiM6lBH%2BIcPRRB8bE711N5Z%2B0nR174rTn2KvUmLXFIpqY0jG4PLDcompSsTFzHQ5KA7qlM%2BxLOOegYMN%2F0imSXqPLOyj7Uyrd9%2F93xtq58NCfGPd9rSO4Kb10nPMEyhwDOLy0mmYOiV71Z5Nl5CDaWkXRtl8U7gqgGjiFpvcvrEl80gQayaKyMFFSC4y4oYDOkMhrs7tuow%2B6yo%2BWw4yj392%2FBciTvdS2N7WA2U5oDZlFYbKBGE3zpKbAIkSlr6AKO7BMbQzoHXY4Gvpu3tmrrPGT3HlvkYe1URZJIjas%2FcJsFV%2Bxo4EXffAcE48vYf1Df9QDvOp42hhhu6oqcSPo23S6u36hER2rXhSBvAwPGAEgl5A8z6J%2Bi2%2FM485Kgn%2FSYbf3JhX8Uk%2FskKK9XVkDDy76MVBEHSGq9hcHHUK%2Bc1UCTEdCx4XGfG0x%2FKnqXKZVacC%2Flj0ovGzglJ7dZoE05AGVCJG9ySkznToPYeB2rTja2PVCIk%2BimzAjfEmT6TmHSnXu%2F1%2BP%2FjU7jjWjHj7gBpp%2FBAh8fyWczEpDoWJjfEmDf25hbM%2Bsc%2BPl4DsDmlBz6gR3L03waT5GuCpr1jNFUJTpHknF0t9kduDKZ5PsB%2FDUNeHtZXzbQWZYmifYYKlL45nRI%2FtJ0LoGUOEiAK38wrEDmtXBujhhQDDXBe7%2FcvZ8fbxVUNwvu49TWNH69sHsHkMkvWqyO%2FfQtC8MP5xGsRabOBgh6IcPIS50oQ9jXeNmnKjItDfK3lfEdeuLT8MnTyjFg02zOku8UPqBQXzXxfshH219tdbppzB1kqj0EsQm61iVD4%2BfkEMli0Dlf2Lgt1ifkA761c6nvrFOWlXS79W%2FjOBNQzgCfjkxmvKlRmYgJ7ssMvf%2FazLJJzbAyhiihN%2FlZ9yxqnOJZsDc5xdu7V2hqz9KUzXKp4%2Fi%2BIWuCY7ypDLPYTLtpFOiDyA79UaBwZsN7b8uYAIkv5OQbKY%2BFrcyKfZBgxTVm4PS9nAP7Oha1FKZ3P3D2D1WZBCbcrZhSlJwptgx5kFAi7vLQh%2B3waKKdbI0eDgr2Fa5pc5LUPPeaBYB6oxKYjAiX78wm2XY6tspPvPa61Wr88rRmqnS5v39jVcjPyWnAa%2FRSxLLVjYwcSVciMJ07rIZkNSMdCMFcHy1Yj1bf3EiBteG6HT1FEpLHH18yA6KFlUBwPgcMwQRyQUGJfXvXF%2BBPjDS6pYaKIGxemX0OYj4nbGvw3%2FoKfll%2Bmj7v8JFKBOlHxGNC57aJKsmJiYvi5EZLfP7TamucSZDqZDlvO5YdfQ9kmAbdbn2aVP80hdycVtoNoezU58UG26cQ08pRXq5usaSG9c%2FMrH5DA06NVHwtnn7V5GVMYvG51S5vg81UpOUOZ7GtVWqQPmSREIC5zLnz%2BWhfcKpJD3%2BBqE%2BbvGExa7n5DUZQOZXIkpairuJAiAYNnzkrEOX98OVUjCAtwrF%2B22oAqzoYmu6Z5T1fevCGqpEPk9c5xhYKJMgfAzCtE5BMAgVaCfX9RqCpaUx4d%2BiSoqRE32%2B32rgBMefkkE%2B4CtTcQPdjKZEV21s4G%2BAeWThGT4BuxEaQ394v0FY7bROLY8hcTMSiAGvZhhCJQSLXbUbf%2FKTfn1FmkQaIrIXglb3fofqqNKonGG6rJlCrJhIxAOKDziyblQEzxerKwMka87VrJYB3WjB%2BycQkN5gcyMWOWWZEK0vc%2B7amwF5jXHX1KPezbjJV9JqsrofqkGRBUX9bwIjPE3ele8vyJ3BbYEJPLW7Cx%2Fg%2BMtKyvsbpa2gS5d9Psx6Tm1h2%2FfgjI09%2FxBhMDWRW%2BLZMHpwrcY2MaLLNmIR0dkl%2BvXoDvvrKoAABx8RPyWUZKa4UE5mgvJmeAi2dYso2i1yRnrCM4inirsuDvdPAjc6kNeKe%2F0JGT2TuQbcpPtSrdtu%2FyuGsI6%2FIyeOtq8mGyoPaNUSrCiQVrt7Uw4aJcRRr8qLpkJNACL87mcbT65gjkujII45IYiBE%2B9vykoLbtaI36K6suSoXiSgw6%2BQisRYgCkU%2BQWGaeeVomL%2Bv3REKxSBJN47BHceC869XdhI4aqm0hPRi1tA9UVd4UeftEE8vv4OLNRvq%2B8%2FzZndsUCUnit9IAFV450VclUsQPyFDxZbwGFnNarIF45fZu1rrQwUxA9rQvpnrQkSiN4CCA05gqbRajvMBw%2Fu2OhfXZsL2tFySJKesS%2BwUeRNSqDwysLZRUQ8W08VC4gTKWSYZbTuN0egLlJr7HnVeMFpFyhz8guxnwZbQi6vjOGW62PLK1bgwcEoZGMcPHoGZ43qCiNJ00xz7Gggjux%2B%2BRvwrolKnr1sYg3%2BwCPAx6M9vg766KzOc%2BOckrFF%2FW6sJK63DWXhwFuzbpsQZWE9WaRgoNaKoNMQM6InBOYZuDlw78a2yUCWuFDfdj1kWTUHTYtFc3svCOscM5oPPdERLoATn93o%2FHMex4oTj0ilUowq9LmWB%2FxGUCSjsCg2FJdS1F65fgIQJrTdMSpHxGjU%2BKyFIHa7vGG1KXwom%2BN7k%2Fl8eA4CN1F0jIBbU%2FBQkFPkBrkZ1UT9jJvXHAT4JdR8z9hr6PsWXsqv0v6Uofowi6q9vfpgAna4gxBbq19BYFbK7HD%2FvfdAOviQX9V9eOIUWY6drovP6lWFCnINiuTNeJ9s6QoKsvV17KsdFHhQNrSIHxDZ7GydlPXakgyXZXKgmqVYGkMDtDfoY5dsCwbtoIgbv5Docg7ocxWmfR9Md8%2BeFZgnMWZAFxW5sX7roM6pve5Ytc1VQLahIoDgHjSAktsQ9rJwj87I3%2F5WT6nrk7pYcrudA%2FzCiU0Y6URm4SJ7kZ3iWLYKAXzL1j4GB1K0tuIrC4xmB78SgBzD0wTZ%2BCoiAwypXpHkeZ2X7UpZgJO%2FSDjL4Lc9sRi1L5KZOcr071h8OyEww8U5UmzD5zELm0lG%2BrBUAKkudP45QnxWg%2Fn0YJYexZh8E0%2BHMbThaoCy5o1vi9etqE2s9k7OeBihts8sFz3M7GAGs%2BQ7gBNJnrREpQwRK%2F8Wj9qnUuP5m4sfPbHB6hQWJDQxhDaqOo70eWocSUsLDURgi7AhpNgasaGIOe2haehDVR0CZvadbVVyZxdHl9sAh97Hcs%2Fo0s77vurK%2F0zmMiKEzlPqO7gi5FVHW0exZMFTG52ZFA7EluyAZJDljEBMEwJbSbAmw09ePtmEucqLnU%2Bh1Aq3vvAXBpQMwkLCaQ0xR52OljWVGC%2Fo35LTfprXfUOKW1H4KB75rGlaJXLR9l90irw3pA2C2rl1Lh9qjsyjcK9sb188Nx%2Fwqj74%2FHl7KC2Qti8TXj0YD0hllXQftwZAXEqefSdNOcnoWNsdtGh8ipphVChQXRUSh6iuLF8yaLQDyyNsHdunUpmHdxGKxfO70Q%2FJwS3BYE1NY3nJKiEe64C53Nhkulavm8JU2MApzc4WaHTwsA9xtgqvJHb%2F1DukzFyRyJpj3WvNdNyY%2BSI2UYKp4JPr0okpoPKstcQN%2Bjnf2xndS4zm6Va1nrR9%2B9RJNAMbEF5H0TxLBxo5jQDg1f7VYhZzGPCnU%2B8eVYGI0j95KLthUWfTJgPGiquTfhlefVOW7rrDK7sr9rynj6OLhNeKvC%2F5VDCIF8JlI0FslDAEoWDAq9JEUmb%2BtaSjoR2A1CEbVcD7RGx4w96eJb3JZ269eq7qPNIcdBsdybPNJhPclIprNnrEnn5AnXBVZ1SnOFHLhKMeK61KvkmZOa6hy%2FLzEvC2s87%2BeLji5aR1ibtG3DXQUP%2FZFdQ1zdNZjjeKgfeIC4Uc9R%2B3Sim1wB%2FA%2Fgz3QGrOQnLfhWLNESHWEkwVESH7fMkj3Uf9msFnYD6tgMieBPHNNvaFqW46CTZ2nJ6HdcPQZqycNhec%2BpxK4GRxMtXkolKAcJxoITr4up0Vgig9qkeDMHFG2fPiwrd3j%2B2x7N4p4xd6IxoDiMni5q0iu3o6KuHVwIdxQImGsPPQwebyvzbsG%2FHqr1hZy6WdkbL%2BmOeClujFHKdhvDLDykfpoTL6jHcjqKUnncIGixbjSkNRLugpadA5JTdeX8uMry3NcB0o0rdhNBrbEiq8Im4eaTsPbQUH8A8IG3ByZmzn3yBmSMx4vrZsp2mFRBIW4FSvsX1bVhDX2AsPkxQh6FiqyO4LwNTDf%2BM6vhfaOdXcI2%2FTqWuirFyMOiF7NOXYH1jwrxJNeHFyGv0D143HcVAsfYFbQuo7JhTQEfzH7sJtqp5ji7wk%2BGbodgr184lcMKBO9i4hvNzuDgeeZ4z187zol30b3qGcxJVgseTVs9R4r8GAEnQTu43VfEvxD1X4%2BACXwgfBp%2BbMsFgo1nV%2FMVnoaXnBawJz0Azmw3u463%2FA1oePsVONDNxwJMTIgyjt35L2unuczFJXfhl6u0JwdyX0NzRklj0fCEGA2pLGH%2BO%2FooEP8hpjq0yusZupAHC8Y99RfqcRCu3duTgdGvQULfZYgQT%2FdzJJSjqFrrMtugp1P3zQXkBioENxaDytQ97LdI90qVJvfSRQRNjeJy79z6GNB%2FUKmBtdRstFEW%2Fm9SEv2FaNNi0a32DyEWv2FexTbY32SKxWLJIIXflG89qNGiZscet4H%2FgQnew4hd2TZJA1J1ISbc3z1NFXNBoqZOncWkur5lQtRRbokZgeM15WPNRK9m6tAaz5gdiVHLzQwQKcu42hfeP0zbJ5jLI52LWrksNecpzrLXtun0MJl0fmSj%2B0my1ppCej8pmoi%2BvnTTaLQ%2BhMO9gamCa4pn1MGbmOGVUMAbk3e0i%2F%2BoFpSF%2FzdrxPEu7ut9SE01QE6q%2BD2LRypVWPgBN8wBOtnxqP7o7okmssRJ6M8jsv3GxmSPMGKsAZ1fsAG3dzlCEW8ukF0Vu%2B1EZLF8r%2BJFwrDiPyfxTydr4%2F3V5mm91qfQ9EyuTb8sr9RT1Unnp%2BDx2LvoiCiRJK87oD9RO40KsKQWwNlPKfOI33Bs6S6U43SftVz6cAMSG3vIWgriacCqhioATPpt3NvbaFBXdZFZaTVeP3R1TPjoNHoqXY7OKTz7oIIvpxVvOuUXdfaC96%2BvPBV2dRzLHEZaoXrXnCMcc%2FOuEsBVn1hhyvGZy5Arhl6spK2Jd4h8h6EpCVlf4Df1JfDvAcbW%2BY4vrpA7J7z53K8Bf639OT421XZDkSwLJrLbwUdT9aOs50wDPM5a5tR15q4uxgDbKfoFSjgLQqCEQHuzkBuHvmlF6IkmN%2Bic0gVvL5iZRjK3D4lAW3X6VvHwiu1rYlfWOhRKsQCNiFFEVmgKVekcnaxnjEHylAqt%2FMm%2F28XjxKcN5xuGzJCrNK%2BmnT%2BJxGLuKnj3NlVh2tXm0o9cwiIvdK5hViOONrWuSCWifxHpsv2pSLFlG56I7o9P4k6C4i9%2BGgL%2BHgFlA3X%2BXOgg417IOPIIAebZT7EvLnez35bb0hcl8Kh0h1RUOvnKdEX%2FOyHDLtv06mS6EfLC22ZlUzY3I1yOnkBQSFiH%2BHPE6ZFQFGiYi%2FueWdTItMvh8YwOI2XI5eEjwOrh8ZbPl1E1rrV%2FwgG%2FqcjMph1NSZGlT2c%2Fk3GjlalurLa3sYoxLtAzjDNNE079FfdjRvi%2BVBocq%2FJq58CIfs5S4msNSbhWT5blI7YMA3w%2FmtZZQXZX4uQzK60cGEPsRY0fhSQm%2Frz3q9dV7CO%2FJSbqUkjmtvW6a65MWOcDfbA0ou5i4357p7vNF21NlYQldXYAbSVWXL5H%2FFngmpjfQD7agnctcICbQWLF030FiZnMVsMwYzATGn090oj3u0RXAS0KPpqxyHpxchYFXcRAS0Y94GVQhv7plpOLOj6DqrlwFAoz1%2B3jPcPVrhAyF42CtpXpXMKhlHo4Uv2jWpR9OjaDLFZlTlc%2BeEbM7%2BWPF7hZQewTPoUpfMkzGo61Awc97stEsU0nIjqFBUTEj%2B%2BQVvoLm10po75Vi9LOPKZbsNVHoFJRJ4ySb3GDF9IiLxsjBwOVNyv7UWHDvtCKI02tsqCbM9V169jJNQxRlysg1O6qO%2Ftkg5Ci0L%2FFxqwssQL%2BmTkHPTEysb10nQjynAuvpkGsv0RCwSpX8seS04p8IvIEdhfncsqSMkmuDhN%2FXdu9os5RF2dPsCh1bJPzCJEtVsVQV7l209jeUMCfIWW1RObkWN5ZWURKrv1T0pk816dvl207xpyOSTzcJw7abDJJqq9nu9aT%2BxO2Ew7rnEHGHDoHbILjo2gCVbMZ1nxeMdFsr6kMW9c5Ilj2tiISyd4fKon47Oz5Qz48KJwsHN374kwxB2j0dCMOWMyckT4Dfq5PCt%2FovjV2Xwnz9e9r%2Bo2yB0V0U%2B4hSUWQD%2BsYT9G%2Fv%2Fh%2BTQ5LAC3ylUp8N%2FQ5B9ZuQt0MtaQCFzAGhAw7jCEJo6M8Stn2v8fICR%2FdwwWKYjXa6vHYdCiAWY6b4lN6CAuEdbPr%2ByGPSoSkIg%2FbzPE8dYqqLocyf2689E3LeyTJnpVeZAxBZ3UXiGLBgetDM11w4nZoYaeYEdObtzYHa2gotPoZuGrucLUhKH3AYo1MZfWeY%2B2M8ny%2BZMhk4Pj23j3r4D0DsGB8fpLTE2qxAr%2FaL03Q8CLofiRlgqkdPSf6YVm6PRS3DwyepHOMsv9FoNMwSVEbcLlci3E3SrDCKyiSCn%2FMLkiqpw3GTeDFY38ViypHMnmA%2BFVjRbfy%2BmVicHIa5c%2B5%2B0wJOOI0ihy%2FO%2FHYPUQ5ejGUQOSwdlERolwrkXSo8XE74XOrH79IOVtD8hLp7a1DNw4HqxqmqJG4elQNbjhKxerl1cce%2F5R01EbPK%2B0NBr%2FkZ65K%2By70aSTwsFy%2F1QixRefwWfH0D6nOCvE6kKau4bE2Si1OL%2FK3IJUcyImEYzjVDhhFepWfgSggxtPL01kJ0PrtjAiVjjQloF1edXPRV%2BJ2lZN%2Bzw9TctjdZOQqsH3RxhxtTk3KqFaVNHWSoCvSsiJYEcZpSNYRsw06k7dmh8cNvYhr0GMupoklYLS63nYF3VYnFVIB0p6FF9koP4yefjIOA9sdSkLllL5BHl%2Fj16%2BvVpzgv%2Beb3zuPpEMKGGJmrKIpuJXvNNJJJHXJpvD2T3U2Df1IXm1T4Q%2Febj4GOOsUHwmbQQMeEfNEjenCnEaRarDqKmzqtjSYJ4Dka8oiW7PrXXC9ZOpcl8exdLXNxXnIorOpFPvh9AuLZjxAz5oPH3PqUGRV%2Fx8ov5mC5ffR68Fg0ZL8UFOdk0PQNJxgznSteDD40d34wIvVBQhY7euKxfmMOjXQALCRmQ%2F1fBv7JMD8ItbTprjtYJdrOb%2FdZ%2BDWXtpkvTl6fFR6vH9kA0r2napqxgYr4XlKp5B%2FhbzQChYm1oB0YQJL8c61h91b2bspSzGBjc75JLiG1uIP5nD4MWLNpTLFuVh6g%2BoaETjG2phvRhyCwxoBEtUHWC1PtHlv1PKyYdfVARag510x1wtEgnKd1AJQfP3w%2FfO0oQlz5ImsHg%2FHcDnvlIP6zgdmKftURwNYbWQHWFIxScAez%2FqM%2Bg9l5qgV4QWGwl1viWg7iHhLPzo40eurcjroqw3kharlIWlfl4im3duI7KeCqkFdio%2B0yPgcbnAQEbSbsGbxfwSzaEtscnJEqbxHFzq7CL5JlNNCBEapnGT2Juu6wJp2WJhvuY12%2BHOzrzfAFBcsqk1CEct5UyJN2sa9zATOgxLtjKWqujYnAaKWeNXBqZn3baLZuq6jC1f6zT2taC8CIHHSEPb8uRD2LEZ5gd%2BiLewl%2BGzKo%2BibvZAgSCQH3ZTwW39IgklVDC2FYdo5192QQBjLhT2QpJsQgbHSrV3qlxbSqaiSNrbcO9k00qSqtShK%2FHl768l4tjSOoyD%2FZqI9aIkuOhpENJEoe9ueaQUrhTN1EF140KOvth%2B8%2BcXGyNK83ayWjI23dKSe2mcGfRXS4SGUKo3wVXxJbOGAQXGmeUJnxQyvCQqo2afnL609%2Fnr3l0XCOSHOzDlEA%2Frz187z7WfblEqCCgUQluVa3%2FcftNx09RlJ3hlra6T%2FUS81g4Qh%2F%2BN9mH%2FHRmJNRmN9KvmIgECCMhn0WUEPR1IfE%2BUA2s9rABW3RxeudiKmWkCx3EWg5cK3wxWVJ00xLu%2FHF13z3fuvnGuCufE9FWbmU9%2FclCFhws%2BdR50pIjCFr9dhLuPAZvXwZhScYqxD9WI4kt2OqPygvv6kVLSxF4clj5dR6sUUcb3RKOWzbsHYX%2BodwsG%2F265wpvroV246F7Au2L%2F0iqEvwxdCu%2Bm7poZkxeB0SQB6DIn6pfn8impx4%2FnAwL97Ln1ZY0YmgJR3AJXTd%2Fq2UXfw0XIjsoJO%2BwvRreGC8P03sLC%2BnjVB%2Bnmypjysejrb3XSrryZftfmYhQJXUeT8wn7SVUk%2FNq9d248rQRJrr2370y1eDcAcpl7uHbJPltHwjS1PL2pTUUSTo0nhIi4KW1bRHqZ5sTCfv3TVPMN68WgjAu0g4P2Pho1KQzBcAxmchFy992wlZuFLXvIiMoIoAaO4OYWxEBVIbI7ra1Bwow8xpIDu03ePqBUnu4VH3tTL5kZK12e4i6iYWxAxCvOTEBJtOqjcaIZLqGygTb6ZBOJY1R6G3tFSHxBkPqNkes62DYWjwEkPomNl2azNMoyqhCb9fn9Oj5kv4LJBA7Y5NPgDsnl0Sdm6tXsYu5C8Tum%2BT5lQV6%2F5iq0y1eXPZ4GbJkwGwUxNl208RBLc5Q4%2Fn3Yk246uBoeHKLJeriav9WTqODCvSsmu4rJzCBFu8Bo1BWox60XcijvXcOEZveedfIm4OK0%2F70R%2F5IojwDz3V82HpBdsHHLbDQzdY3ME%2B3nR4jIo1A0h95YlnNYEgimBiQ8kxL7261d3tcfxSD3V8dOs9IFXRTSCPNOyJQ94ocyV6cygERuHkKa57SudKIZj%2F3G2AQmE3X34waF8YD2NhnCBwhqmJI12AF%2BLRodmzvRCxWhxrnMRNuheg%2Bq5x3MOYH4CJuSMHKlUElUV7rr8SjaqjG4cnRBpkltVt7NTlOx%2FIToLtbMevaO2Yv4TfwxjQSpmK03QQQzu7JuP%2F%2F1keKqeK%2FLPg9vGXSHTeA7oeJq429nvS20EGdJXUXmL7sSlNOGe3Sf%2BzQBPIrVg0XKV02SNoB%2Ftt5vUBLtNLSUlLbtc7m1kQs9vBrcGWw%2BF2b7oTOk7F6uh2Ddxsxu9fgePBqk8TtWXzaHYCNK9rmS8cMFB3CkYpoTOYxgzJN4EuDDr79BUtBbi%2BlhXMh8YJxcq8SazgW%2FlEyc%2F7REEieNk%2BTx4We9X6DGPaiHVDhneqUqccUVlizzG%2BTeKfHtFD0w7X7BVjgZuhOMTqZHrKsaCtm3Vo1Pz29vvNX3xIv6AXJREpcoBzHkveqXYPm8tk6FfPT0yMsGKPw35poG5xgAfnklA6hT9oaRyrFtETPIfdK6SNo7aPPO9oBEHdyZUQX4TDbSOWjW%2B50uuAi443FouLG1bSrR98y0U74p1Gp9M9dXgCiS8ER5rrq5s6PDihsp7F8QwvkhN0A13Nu0WVwDaWKT2ddjcGJOTC6kBnZI%2BnFkiCM7aO83YOfogXFYUjWsCYoySCEiZtUDqbydq7c7T7aSO8sGvaK5I%2FHujPI9zxD7AM%2Bufi1ObtMQOMy1jHjDiD%2FM3B6%2BOMo2z%2F4dWADO6LeCAau4TIqo8eU6QGq9Bfn9kUYWI4qWxysZo4IMfyGPV34VsAIbArIflS6Me7jgcjDVCfuNGfztiOzVsXpH1B0%2BXOLV4aGKE4VGmUGGdjRpAfuluzMqr2o6u%2B6OVEVjo2nZvyqE6dj%2BsGQAuCzOrCjixbf%2BaZuXhYJQ4M7a4x2arMwKPq6rm%2BLeAbl9gu0eSHm%2BUfTOcY0F3cvtr9iVscdqNMZV7UtQ3dRv8EtRRbmfvluxSpEvaDmUK7%2F5xu9kyXJ3KuahVYzacZxSbjPu66Uo3fSl7SVJA7GJUAoVzTwOfRYVSSMOlZeqTN%2BAxXoVosJ2iedgJ5aFPmWkOwfHERscFKWnDVdVYxJWBDVm6QOG1qhFWsKiqn8w%2BmLwaFfuAz4mcSBvAQJ6BIpb6ma9mB%2FlzONvEMBS2zQNNguSpXmR94uDGFfBjPNl%2BWoIoRVAxQha2F8sshaz8xqU4KGzNN6nIPZuOPNTC0KCCoXLjSpqBGy42787VviEsrE1Ytx0xgv%2FybxChwxawacs5EX2B2qjzgC2blIvjXpcdCvpz4jUUtFHDTvAxEgpOHEDTEk3j0ixSv2qPCFNT%2Fm6AxlqJRy1R6xTNGXc0D3PtUbRw09T6XQifw%2BaDQ8nqdV%2Fct2Mnga7pwOcHYn%2Bw%2Beilv5i3WaFUPcO40KXxtHkF%2BfVwIdQ9M4%2BQvyGAZndYKwVHpSTv0n5vV9Hlg7TROLbREiXV2Y7ZQzzcozFMH8Hp0wWtcmPjfBNaOrKWd8583Mp9slsgX62oKKv3KJ4HFQYDUwEFVHhm8MM9PRHXuxe5fNge8Grs7p2v5Ny5N0KPuzWYjvHDiCSMkyDTnu%2F1CluYxZspWBhmWSgf%2BWQJlen5rrwrM9cLzMW%2B9xHsPDiYWq402vJcwTmwhBdMmEIt6hsoeVqq5tft5yLUmvRDB5uPeRrFvq07vZHHbpsoODeFuf7uLhoTXJ2jl8exD%2FMGLka3%2BnqBeFb1Gt7c7O%2FXYlAxHQf33J1nfhny57yKJ7Dws7Si0o6hWRgEXXj4VrarJK6uoy5rEcb8lixQfc4eg1kp3VM47D8pFGQvQosm3Fj2HbowXtot2m%2Fb%2Fw57FM4wTVhzYXUR9IoYVseLQmpuuSsu340uV3vSvZPvTSLcw1HVF%2FhnJfH5br26L6Vz5OUlPF5PBXBn3nK4H7vEUyv8kfkmVIQdOksLHEz0tJkkzbeQ7%2FGup7VwjurhMgI6LowUQad4XoX%2FCGyG4xH995bkmihy2QXpp0lxZKYAUR4AkkV0WPKdhFS4O%2BIs2Opzxj9KX85J%2BFmLOtWDtUyE5QBQI9XolsP7MIMZzBh%2FmfpmAwq07N0rUy%2Fmb%2BL%2Fi2bkS3AN0TfATcprrGlFbnlizVqQDE%2FcECVXxcys%2BsJBMbnuxqpmC6K43ZY%2BWFGYJOcr5XmjMXv51%2FdSke%2F5NTNqDdAQtRcDGCyOw0IQ%2FeJYF8LxU2MSLbjBdso%2Brj3oNdKHgaQaaU4yohSE1aUCuPX2rWhNtKjx7gjZRtXOUK9RUga3H%2FqWnqcEEiHUQFHXerqdqsb7xthkLqpenME4xBqatQjp67IoQ2HTREEO%2Fm3ZMdu5hMt%2FfQhY50ifD8PA8ex1%2BIFKn3pJya1rmc4TUVRpmLAkuTsatZihSXPWzcWwQllw9ZyM1eea8HDGUlV7JdAhuwOp%2BFS13GNKE4JXFu5JWjHTAoakiqh3PYdef5ZbA%2FYthLo0iaqlGokoG%2FoXIMkKqhOWTK8GKWrtfuzpiGVdJHgbtYZpKC8RAGXqRVTTeUNpeuq1%2FQDCnEXnSylVn4qAVlvO4cmxLHYHTlbMOLeurZDkc6X49SUZnbdHgWWsAgK3X1UqiWXrntj0U6EevkyujJNHlA9lgcAK1FWywrct%2FhRzNQN6G4zxLayxd0xCzuHFg4IRBK8OSaMIsu6fMemjeCMooJbKlJK7984iOOj%2BKk8Hg4hd03ws5A84dmGP7DFPTRFChHtt9C%2FOynKrQaZPP2s75Hf33PC3hbkp3lpv3lvu%2FDhhM70gKKtEhgB%2FUfHB3o2iCZJ2vfGRG%2Boa9hH4rYgSNhKy%2FdjCLWguPWsuE39pJkO61JpueK4%2BytKDiMzi2XDylhZgozEnoft3k%2BQPJKo7Vi5tYABMaViNdJUHnmjKjItfasoyJoDg%2FKXduuPLCA1aTYcveSkE2QqeqVA9Tx1JD2PDanU7UjTSNGLRJKi%2F0nZ7bLs0t3rKnQFossCaGc747BDkBdT0ImFgi%2BCjnI4ASSAetR%2FndYAfVaXOD2eKsE%2F0T6RT57jhJ8sxFvG86us2RKb0oSdU5KcbQovb1R8bDb12lLgriXuSz7THaWXTl56riFgUmzJ9vvmOYqibWWs%2Bb6yNkJO9pIdgSW526gBDd%2BnB9lqEtMph%2FaRcwMBLdIwzpXHhG6Y0b0DzQAlbY0mh7r91OyzduaFxCVrl4y62rOVY4iCUr7g7kl%2FsWJDsQYEF%2FI4%2B%2FfOZ%2FvIBVi32XWk%2BmZqjZHlFhCu3y9AB7WHS%2B%2Bd%2F0ndAIlsK9F6d8U8M6DPelReGH2aiotAU0gzKCNVSM39ItnxqOsJhTVaprCi3rIFBsQ1R5nFWKkzUAIKg74PN5D190UriSvNu6aPFMfmqnZvonyZ6R6z%2FasRGe80jZY1JTRKvSHWOQrxr4iqrkNR8j8GmCC3X9WMEgM0%2FoFGI1fyhWYFGhmL5Q0EE3c9eTNtIvigBdKCg7Zg9q57nY%2FrpUvO9ZAhAFM1EwiBw%2Fl999lv9ES9EYXgaUr90BK5QJLtYK7mc2%2BX77BnoJBNXrP4STds4DoVrSo1fX%2FIHkDbmqRNUPVcAWvGsN%2B%2BGvvqBWxaFVIrF2AkEg6EIfB%2Br%2FMA0VGA7A%2B1FgJV%2FYlNM%2B4FOGLhbfk5f2IA9wv0ZOmPdGWQzLacRNqrWCAgmZG7%2Bx0QEVEbVtVVGgONYsN6SMzHFwGAXD71oxfL9QWKLiyirNE3wculFdqjQvcT7QqrburXIflRuZLk1pZl8zNXlfAaxC6jAfvKEi69y%2BFWzlhOuJ7J5TOlADRQi3RGjSqZ2pG36U1sEPEvj9muxXXw9w6OO6hdigBqixD%2FPDxBqkBADGfbtz0ceaO2Nnk5zXYG3pbabjm1Dlugc%2F%2BtvWv4dDL97jkI7MWGVyVGYEqiNUwFZ2NuI%2B5PiM3p3q8W%2BqkhQX8NKokBxpK10qP4f7TBicf6USEmj7q5WHy62eSXpxlGFUgykWUitn8m%2B3vBz3x4lQoJgpMnvgclPuIjng3ifxbYKYa2BCjesKrz7a3yD02kKvTxuo3XU2DA1sWkji9m5bFPrAYChr66gkbVQfCd7o9fgThrr%2FDJzQrZj6w2WYeR4BcLlj36WcX70d3YjzbPE4dSHKXW1t6XzpTONGsyq5RzCWn5GHI9Z%2FTk8kyrAwR877kGxkpvfuc27I2I%2BMi2KvuOC9D5XZgvU4U9hpJTHGJXOpaAPNkSSTJsxWhECQdZkgc6KZPkKA%2BYrRBZiNxXSnQ6yrD%2BG9N4YiIqQC01ANIvqfuFiAaKz1fpwhQMz2fZ3P2xzNS%2FRQnPQFF1eowLi0duQn8CLKUwOVkUVXOiNbS2KtDWGZBp66tX96uN7ZbchW8iWe1ZSYoOcojVEEjBfEOxbzDPy67PsbCafRvp0j3QSu7lRNxl%2Fk5ZLeMPsBhNCIIee39a4DaG2Ac5RAClgRbx9JcpQz3%2FhboFFxeij%2FCmHPJN0wwzp%2F9avDFSQrt8%2B3%2FnDsRu4Gmvd4BefWMYtoeP%2FhZ%2FotE%2FpYMaSEfcTIvDHCcb2kgQfrUKATwyGhj%2BWV7DmiJY1hQPVIg4Sx6L153xNvnIpbaP7hv%2B4mkyHf2YGfRntLDulrTcY5qEm5I6IgqJm8ABfH5a9Qwo0%2B1nJrR62no18tHIHw15IX6EnPuhxED2NNztDcGCvB087B5Pj0PNvOfstNVlawYryRih0cMhLEOoqC8gEbn0w%2F5cVnqr%2BkXx1viJTfOF%2B1%2BHcEn%2FD%2Bq6Rt8EZz5Alwhaw225lQE%2Fy0m9xpCMtRcAxo7WgyzVTD6nL72fcg7l7mr6aRBCkPM0dld3B3mlr2CZOlVgdAk916%2FMS0ULEUk1sQV%2BRsbrtSvFKVKZx0F5J83KAxDMXsHRp2ZXR3brRdYbyAO3iiSbIK0bhhRGb688yPczmGxOZ2rCzzh5NAPQHw%2Bihwj%2BBEBP6xJFr0tMLmHjlxvrkS6%2FuTMnN5CxJwoPmvMGeb5z%2F2RNSEjCal5VbokGZpXVPn6bCED9jauiGdUtZBRgm6rUQ5ZAqtTJ0278N5Im3dLF48TP%2B8sa60AlUJGAYuUl%2Ba0JQKBM2AMsgltAOHYh%2FosXsZlH2BPft7xetDDrc17wLvHE%2B7Ob0TS0rZIRUgiYyvPRFDWA5jrVR5lNsVlwWDuNh7hu4tkCdry3YJhI5dH5qmizceD8x6U82RKyyJ3WgOEPu9nMksXT5R%2FV5cBKHMaGmRbFd0Bqg1CvYCNQ6ucvIctHB%2BRxJpR5Cn24SM54Ga6ug24jL9D%2BoTTqKqNSqw06yLhWhyT8oWi16NyrKVqR3JO1iVwldDFYtsar4Gf7I2b5i%2BSCRW0K57SGg1CSc7viRHa%2FOC7Mlf4cBABs%2B2GzPGVs3DRbPqLHYqiywjf9kQ3E3dVhG2HmzCzFjNJhw09Ujmf2JIspGEbESCLwHzlH0lisp4BZxEVUN1%2BCPLTTfAiZd5nOKc5pD1TLlahgJh9Q%2Fgbjr%2ByuXA0PgnG6qYTD3T7ybA9DSjHK0mzl5af6iq5CE3PyiQQwqGUUbNEndOjf31Di0RX3%2FEXV2AjyXUOJbDoJLFbMmdJEDFPLZ3hE3tatXfZjzMRdYIzVxnsXWBXxIMXaOKiex8aEG4qnVOeLD7xkKyASzySIHEkBmtz7sxkhzdZvkDOTw1VpDXoL7Dz1E3Iovkekq6I7pnCfAudOHJgS%2BEp0QGZ1935Lu2NTcpiMLUdA2i9H6neAC4y2T4CjQ5s3YNMteiQrxF7VQneIvWV2eVXvc4rBhveJjm%2Fy2eFPo66w2MkJzi64d4ImYaOhJApXfBxyAY8RUCeyHjL1kX4MlJUOHWvduZctiU6rv%2Fh%2FeKzvptAZgjltERRc9idlACV4ZdxpZtUz6GumiuZ3CvulhQ5G9rEqTbfCZ50zmRW9iAwD69UtVYv4qAa8LXvLV1%2BpILR4hTwenBZG21zfvcvlwVTNR%2Bj2I5PTni%2F8xfV6dnlA8PR8YxnPYOa40g99GgDrERiUnzsuICmQdeoHFdqNAp8Zb2ggpiWXDPmHA49NCqzYybWN1Juop9XyGIFwf2ep7CBnpB8LHiSvpEVFRYgzrFo5650LWWV8O1CLy4aePlwlGiv92JCYuI97zGqvrnPGrjyhb8YVkkP19x0n3ylJ5babc%2FJEQ0MQZ4hkUfWGIeCbOrgfcTD%2BupwOlurRF%2FxuIKrOTeK1pjcNJA%2FqXIVsLxvRwBefqR8MaXWrMBeajxAU0hEEkK%2FN3uLkobLZipb2%2Bfvi83S5IG%2B5JemMw78HyoWyz%2F5UsknI1eCbBjdvn%2FUPs%2Bl553rOaOemC5nRRdHLDu%2BUhzn6t2CNkX1jg3FT4OeObWa0dfZgVWlErigp2uVT0QSp2fnGZjg%2Fbfqdugv6jF8HQxIbYNSSjEA9%2B6yxw%2F7ADg0oL3PeYzS7BoomDgjXsR0YQd03ts%2F3TemF1hF7j6V0DAxGqOP696tOio5F6v%2BqmsYDtqx4IUnpLK11MoknxMDp%2BSlrxP8g44yD6EokCG4SJMi3gxPTdSdCcBQvtvStGevoQx30L%2FybODtR5ztNpAB%2Bh4c17ELrg7M6GovGRZNhboG45%2BMGFriZ%2BomayA5vwgIpAzjkB8hBAy2rCNjNg6oBsOr0RDf05zxk6FUAOZqNGBT0qRFn9og%2F0LyVo6fz8pU80dWdv8nQdtXephrGo%2ByhE3vk5r3YQ1ECFrhxfZcItS0UyO7%2BkG2HnJc0bqVGIXP6cFRvxUexx%2Fu3sJuWUl6WsoHjbp6%2FRGkpaYliJE%2B5yB1U9Sd0gjrguX8fr%2B4RuhDJEO4G37cqoOXn3JYDvtJCANOwCZS%2B4PCY8FlaZIA%2BG5nKHW3x%2B5gq0bKrw%2BM4aceOPbIj5x7I0m5lMefsnc69yg62FDsNe%2FpdFIJU5Xm1XqoN28VWuwrMv9u%2B1dwMVsR5AmjHoeTTvkidhF1wL%2Bz6f4mSTPyEmDxZqD2w2v%2BIXQnh8EnZ3PSTkrl8jRsJH0a4CDaGYBl7oAjFfJjIsPkuM1AjHJhxPIBZIuTGbBRfFzqLzPE4Xpt0nfvM0Q34wMrQRR6Q5hvjHRkgFVLZaf0G63FRLx7NVXoQ91VXuKTJ7lQYFZFef81%2F44NVI1y2hO2RbxQNtbMw530tHv%2BPdY8HgLqLTcs1l8a539ISZw0ncsEOaZzmr7BX%2BSkJTvvCa3%2BhOBU4E5ExYxVxuSy6gfIYaVeI92ZtcA6UPVEiLqcRyXIjWyiih5125qz%2By1QtK2zYTmMk17SjyrloqOD%2FOuEDKe2w7CIg25W3qYYh9LfBH1RDZOttSLv%2FyN2graLzytC1yQkzJnoSJrqW%2B0KRU9ArmDFhupB25fPCX2xn%2FU4vPKkxTycQ57me3FJdDmdM3aGwf15tRWA3QaCXYp3pJtd8aCNMQiFgUnJIJYmTAuGcSAfWPM0EZCZBoBoe7EJ9Aeu1ek38rVumTdKfjV5ir6i8Vs%2B9aBVetkc6%2BkvmXgcLoW11d5QQ88dxxAWJaBy2WK8zwMNu8XxXbn3bAbI4jDtBl1OmM93QbCgbUzk4PWRcBdlOb7W%2FfdDPJWOQuUc81nhT1pZmZEmzW6cjGi5d7iIU92T751j4DMApqBogwYe3b6Ro0dLA9WB8k%2Bo%2BlYQVbzyeoumNRTiwdlNKP0zxbAo01t6ZwcBuOm1uiljwOLF3MEu%2BltfeTeJ4sDM%2F91fq0gUiZoZhcfftS6XvOrB%2FGEy7J7CXgAsHtddKaNwnKVvpZxWvJ9AMIQ6zB%2BYYI0HPz95ad%2BuWRdaaE%2FKOHkp4Jj%2FXpkPxpJjLm5F3PphAZcDrLJ3nY2PFO4ycw2S3LCotfruqWhg3HagMvH7aMhR%2BCYzlVJp2RrkJ2xfyu4YjUaPdD5Q5lBg2vInrpZHJDUm4nN%2BwvMqnvogQHk%2BX37SDnqLmM6u3IcxE7qL8fcl085gXHX6e1X1lvp3zXDgKvYYLlqC8S5LUSO6sNOxV%2B9S%2BdB3JlUDdcgfd8%2F56XZ2ekMYTvcXp6XCtqXnbUpVGpVuqWDYqc6mymvmJchXtk7UBtbfCmgLP3utLWs36zx5RgWqwVZmUJQCRFnEP8mR5ZWkMulG4dUfhgZ41XTyGWjmdqtnzAuSagjTayogsqq3LRt0lvLlITaQK7P79YH6zAHbd1LmfLMawJ8A0t9klKNB2aLWay0ku%2FPXRn1usguZ2nTH53iL%2FYjXNK2D0sY81IRvWOUy38%2BkFyGpdKgPbi3RHSHFXm6MC8pY19aVpXmK4vrldIMtxXZKjv94AEQ2tCT1vlz0fR61tlPsiVuiLTuytDk99xQvR2RnlwnicPbtcFHziaQWl%2FAmjeim9PCCNMCj%2FT1%2FJneFbznFuz4TpuUabUfQICuwuMmRroCGlxhmH%2BWVgiRwpkMUf4oiSIeXuhM4Ac99zB1JskBV3%2FQT6sqKolNeiLgenatg25mFe%2BhQdyXpYtMWu1%2FysQugywSI8ua%2FfkPehhb5LjAU%2FSvCMSmIf2xU434k80Lxk56yUE24p%2BtcBmwkfjGJJYmLGdXG5U%2F3o5NhdUPZO0Nmuqz%2BOUaJ6GmvuV4SujxojObrh5kLm297qQl9MMFA7NFo2o2q08Kp7Qed%2BYa8WILqM9uoIuuTk3FMYfdT3eJaKPM0CWTEmpNPBP1J2r%2BnIy9W6MXw6MnysqTK0qIZq8hf9EkxY7gVPNDWvfVRWSQ2X0BLT6c%2BWrgw3HOJzvzmSglOWzXvzi0L64aZk0hYbxAXRnl4jnmWF34USfrpURI5yLW3lzUMtPP7x0%2FmFY0JCSG2e%2BzQDTiWxvWhbj%2FgXBL7yVW8kWEx90YQw0hWk06R5CCXFzaNxBN9No6PI7Pu5Etq%2B%2FcOg2iISxLZqF%2B7P%2FWn1yMcdjyTovtsTsZOtUm7zoWHQPfmA6via2blvWm3pV8B%2BC4WLcrmSaoG36XsCOCfCBR69Ne8S048YzZV6CuI0qjP3TYY7Yxrj6Z8snls0U9n9Lz2idOhR7FCQ1Fl2ODPIBzsAzKLhaVZ9k%2FUSczQnz%2BU%2Fcv5NV%2B3p5TscsQ4LwfRV0F3C23iGRnyDHqZdPHqwnWHBhrOfTdv2sngqorHVPexQbCVCFWZtCpw80X7vK7%2F0y82Qxk0CZQyQxyRPf6eD9ieZj%2B4lNZCzlX%2BLbc8f45ZaCb4W8SpVGzZRfMKBm15du5qzT2NzY4TbSsNtydmpQo0FprOJOFcGAovXh7P9BKS2Bto4JjqG5BekZVN8wKUKe6ujNqNec%2BZf6Jde6kF0Vv3c8QKEu9jvcUhM0WyqVoyq2JfNqd0U%2F%2FHlBazFSjNS1GdAuz%2BfcFZQNJnwS5%2Fet95rm7ejIe9u8pmA60f8sQvS6ADFr9RbWLUuzq5GAdWK%2BxRIax%2FbvFaWrAo9lt1pFn5iIHp9WC01xe9euTjHK1SJbPGIjR5zqsm%2BuwX0i6itvSqEQAJL1vlB7USMX0dK9uoNJpUQy12YX8sxZWUmT7BHNkPmv1NCDE2k27y%2BaVBLb8Y%2BUU%2BuacYvPeMNHDja3a9GtvVaauuynEuMvCHaKlTgwbCKTUagPqva6vR27t%2F2y1%2FNp7wtfDZFpNCQb82NAwXjfvCTTp0dVDmEjNzFtoHZXVlmI8llzk3UxsqnnSrQ%2FtG9aW7lLz8iiZRh1rPBdVU4VnaL4dV%2F0zhIfyUiq1s1D%2FPKPqs%2BAfunKqeYUDkJlp%2BJ8W0S85QG%2F58V%2BsfhMiIpxqv1xQLIWXl7QjpqmORm9TpeVTT6zEhmi5QCNiF75diYyiLHNuKWWkytZe6iNXnM2kja%2BXWA9mU8Pqr1SG3GQka6D7mPtsNS57JAUO8xHt%2BFREJT4%2FwBIeSuaRHJK%2BU%2FMYOt2luGn48SOZO5XpKmlzNgpVhKD79OCFLAg%2BXdGFheLFHWmhfHbGVldwPQ5WMysxUibs0bSq3Q824%2BWOqGZrE0AXyYHoUI1a8RNqJ6QsGufiZoy9ydVhVCEVhtCDQvM%2F503GUdjrkXTVr9VW6yt4aTZZ74fQvuPK5cR1z5Q%2FGZEGsVzpJrABbCMO2rSqqwMuI3i7RcB1VOkUFqBA6%2FeWGXgxNFqu4HdA33y9k9ypONazxHqf8k40B%2F5zhHdXygRfIcjIw%2FJx1rlSDKjn9K99s%2B1sua13R%2BcwVyK6cpJZtxsmKPK58POuF9Z5OP8D6oi7YdmIVBlREJtbzKiqbsG%2BrZ6z9s1iT4op3l7HOV70AiVglQaUs1qBCwiMA6L3UrfU6e2BwhjfuaETglU7VARFFjrXO53fRtroAtcUQxhVv6Xf2zPEwaq76h3q8dOixYMTwRHAMYWEbjn8F0a2dUqJhyo9yIdec8Sxgw8FoF%2F%2BQ6seFptzK5dRAq6tsu%2BsW81JR469n6H1IupT3qhXfORiDjafamCPMBMwpYDImst40OrAuN4uP72of8z5gi1KO08hiwH%2BS3WRVwCr7PJ8cEz7gaFTzinuMmbE4LETI4IZ1yDGfOiYlX7wPLwM2gtSKju65VbsYlZLauGg45rDkJyp53h8SfOsXuR8f8qnJtpcsWxKeNpW3WJrmCKFEs7xj0nMHzKDwc4EViiXFEnoFpUqwQsxWkENTOLMU5GtYGqqTtTGnBSvKvtUZX1soq8LTtEHiHtC%2BvL8j325FG2%2B2EysTGCmSV8oZfD3vKuKExRYrHBzKxF9xoJinP3DakFaZAHJ%2Bvq5XX5Tqf31vpQ3B%2FzJzF3opVPxqeUjbXbEfac3Cf9%2FRXE8QpWAtCduTZHihEHDXFLX2KvGfd2UotKpgNPf2abw56CoQgyU5vsd71Mrz%2BqvS9owXMJh0zk5eENU1ZGOA2eD9dSKFag2HnlAtyiBvb3btpaOAsQF%2FqRDYfyurUGyh24%2FgulNFL60FFb%2Fdl6ykbObFdT7Iu%2B3kUzWaakcZ%2FiBgp6nvBz7O7JQmWlnqzbW8zy3%2B%2BqvFM7AYWnouN%2BC0rSCYlxoYBU8tJ9GCI1Sl1OZ%2FSXJssbhbDzkiX3wPSQeVNv8MchF9xgoL8Re9MX2Jwr3zr4Tv2fXBcTvUv9Wyw7tJroU5ehHNUhRv%2BgVwkQwvmpDsH%2BRDCLbIW3mP243Pk6mxA4t4sy6nBVEoZuiHRPbuDhRw1KUMIGkx71PPxLCsT4kH9nLs6bnn45t6QXwWGGdonKkFDngoQotIcUEtrR3WPvqK0kcu%2FnwMXCk8B2wqsZwlQOHh6Y%2BHAzxz4cA4Vzyh7oKfYQrOaLfYF9M4KtHWHUJJ6VnANUOgppeBp44QrOli8YZForFaerHV3N8TenW88puztLRYNykHUl77IJlnXFSiJShx%2FOG3nDCjCWk4OHvbzSVsz9Eavb88y89i6rnxuXCyV%2B8KHMGX1QQ1xVfvJ8XB4Reg1hIC4OV5dQZmImP7XSymS1e3fHEbYgiiax4tfIVVGEfZOUVc6C2ynev5oI8qos%2BHwRU%2FfMVV6pCOIXHVjAhz6WtbxCFQZD%2B2zP4mB8bp8focHWLJd2BSlggENyw0Wed%2BWF9A1O1SPdbfq%2Fr2xD8XV72eW5S9%2BMPhWtH8Ixs6Oy6s2e%2BPiKuLpQNoF3GVwSBPXJB1hFL2EF7LNlujPH5lnKrYArVXNcFDKSO5wwZ1vi4fWqEyDZeTzKPJKBq4b8MKK2vFle2hR0HY9u%2FYhFtBH5uZNaw8vFmFtRwISvXVLZ9oWwuog8l0P0ieGYzIeO3KkURraNlU9SSwnwNfNbpxlaTrqqegFx%2FfDo%2BoltJxqZrCBUVtGH0VEZTNhb6etzUgW0YUqotw2oMjxH3NRLKEoMgCxr1gT0FYSzklRhg3V4C%2Bb7CZfwHHg7o5ll%2F8bm%2F0EEfnm0JjwqxWFDW1R7WOAOLqItE2RUbYf9Fl8T%2Frib0pz4SNEGPabmhJHTNtSKuIcd2T969n%2F9LA6kZm2AIPiWM8fJa4LXpTcB0q5n1we2di9NoMnnSQ%2FhITBBFNVRs7kO3YYos4BWqbGxaRAvA78oIUuvg0uFd%2FiogYSG80lkSP5C6IxNvyRiCkPVSDd56Gt5xPMyQLbcsAKWyGAvY85CAkQ6j4zXTKSO8U2BXGOHWjoS8yK2rL8wu6w%2BdHxmA41Wd%2FuNU8%2BWxwvDtDQ%2FgBE8B%2BpeWqYSkfFR5AlpRGJJduJlkg0bEHpqGvSHJOkzG4Fwjtl%2BiV2stn4ThxIszFQ6ywCZKEd8MHeGMXszh9%2F%2FaFspkP3dCavzfT3ynJ4lS1B1ZqeRJOpgD4nrPPa4MEW26TMvAtBW58SM%2Fp%2BixMiOhNqSHIixspkDVDeGlWJQxM46gTX18kJhRZvc663cgH4y54zjfJj%2BhI4Lg2rNicyX1sl%2F85GePqT5LWX6FFGRr3KIIPofk95eSEEYPClmZOe2Dj9%2Br3XbFypSHNGMy2nb5e8thI%2FJdEzQTZzN6fYSvDcycyoUFfWknem3gzIrh364z2wpw5V%2FxJ5WZVLIeR1xeCWIdT77uiwokJk7jAOY8P40G76fpHP%2Bs71j7pjWor9ndBkPf%2FnRYIoiL4Hwix%2FSz5L7mZX%2B%2FSx3G7liIphmPVfXNsntQXO7HB6UviSUc%2FEK9D5%2FbWuQ6TJJKDX2LfZjPT5wc78hwlDLyQC%2BgtIvbD7ijNpklcYKh1dvzvlzQWohWu%2Fry4czXH4pq7md1F%2FiXyBzRKR%2F3Df4%2FhgdugIdXQ%2Bzh%2FMoVCk%2F26iOTyTN0nkBAxlqwydgl1EeKBRDBd7KB%2FNqyKNriZr3vOcBG2NyY7sRE%2By%2Fmc70xfFGtXOfeo0DyTqvcrPvW5vhBcRKjHPpCimXbgHbFYOr6%2F%2F5c%2FuAYLtOvAVFWRf9f8nhcG0kGkpFYIdI27YSXfU%2B8299ouwgTsypuBa7Zh537QeidY1x7S68lE5XCQugaZplA5pnwNJmz3pfMu2X7WKJTrhIhutnxwibF1KGQcbk0eWxpBRTXC5q4EKPdStvbhQDJr3eGoRDCwqfbx9XgeFOk73X3QcMUOVSqlpUATnmldusUzh%2B9mLvobjkjxn3cUWHWsRbc5MwBMnnAAIY6jgqoyQY5tx5HAp22zJ8MjS27NYGB22VcgN8SHOJdJPxM1kT2vhjLCUI9jOlhu4%2Bw8zLoQVGcLwzYb39YbWZcDaBUqWe%2FYJRPts9x8BQANEiSm96zOqbu%2FRYUzAyK0QGmVVAEEMrRuBKZ3kmZ49zBmIIHlMVCMh8vUKOlvAeX9D%2BlJ7nictgxo%2BoFJOxvdqrTsbBdOWSNXNuMr5lweaXkWTdE2GL40p0Mk%2BDjSA0RLXy1natbzWhSkWtREgAs8L%2BXniB3jzx9OQmOblyW1QU2EXivsq5uuRqYmmrd8MWq3oHMTk3%2F5geMAcwJwJZKdVQTqZ1Y4%2FyIfRDCTpsy%2FoPEwknfNlyGUHyscGa%2FFpB2tcgfCkdQS9UEh6DEpVP%2FuxJ3a30OLZQO82NBj8Ae%2F6JQxS7psR57V0L1YsiDvbq4JGuWq7GDExF7TtoTqfLCmdDDDQM%2BHow%2BV2AtKch5LOrQTkEQg6CwR5mEa7QXtWBQx4iwSJhOaS8lBUKXJIzBIZaaswYHSsWTp3BmuEhwoBzRyUrthHd6ECuhrl36kmyqrBK%2FMyUUtIwZ3Nbpd%2FT646h0bIKMTrCbXhOI0Yu%2FZYMBAGme1%2BozHQmum%2F%2B%2BStBcn1Ve24O%2FMxzAfxz1cVJ5G9OPaiF4j4zWdL43KW%2FqSxefHFhPgnDuCoUx8V5lxFpIgz%2FeIUXfX9j2iM8%2BjSMOKl4%2FU1ZqmUBqcofDq0jQckYHVi%2Bj5OANSSpUhlvfv%2BnTssLauF87osRvai8vPrLsWprUgEpDtaTTwkk7SnHfRKqhU5bkS%2Fl3yawH3nE15uK02zHFIK0lDULwp%2FlJkM4h2ZMy7RXIUGsNBlUeD88rP2c%2BAvL%2By1zc3LngkvBxY5QWQhuj9Wt9RZgAwmNIlYlqYM53iGBH50FLdTeywuTXoAGpM7ItSkYGKmHxChv3i4bf31%2B0Tq03HIniCq3tWBjIazq9zCeqy7qPYxPGl2FNP2i6vqUuUefirH6RTxeZ4u7I5qYAySHqjog5n3gW38BhUFz0PX0BelWhYU9QUp3om4TnUkLGfO%2F%2BaiXtjZ%2B4isHdzjfBK9vwArmsq0%2F4nvXpIvJ95kwVK5X1ec%2FmQc0xtxiRcfPfYxfdeVvwqGljgQ%2Fm9ZcxIR1A42GQwH%2Fujg2Os0kffd4Vornnh5vXQDIuEnP%2FaXkbQwy3yF2chxUKbb9UFHPCbD%2FvnjHnCwTo%2Fg5nuQ0EFpgxS3%2FR3yEnC%2Bygaj8zHQRzEGXswh7SWvxsHA2ELPBn31l0y3OxnUn%2FW%2BKy43uSH%2F88HttnsX2PMCLp2wcLwtyRQNYJbitKpAOl2N7GrKIJsEtxCN8Fdw4yBezWUgq%2BaWGc6Oa0mybKGWqzXqjrJ4yuD8Vw6qBR2acI78wy84TjopdqZ%2BLiQWwlFu%2B8E%2FNiJqiB00%2BuW6D05dP2MKGC7%2B8swyMzvX53LL3rDPOO9jvD3Zu1zWb7sBPJ56gRbdbVnwoWzWYJPUspmIi5RlbpLuCzwLJ51pZNF%2FW8WKtAZ%2BVCxfPP%2BVfinhYXtHWORq4EQ%2B%2BSXqfJ%2Bbl9MRKfCg5RXLcJ1HGAHxkHCVBxQF%2FIfhNpZOWky49J8ybHsx%2Fip7HM0V64Y1OVQGEg4Fh%2BoBnJkQls0EJVZDCGFG7NsZwcLbr%2BH1HyPZcVeTbK%2Bs%2B4LnHn9aZGTfqxZt%2Brsc1ds6ALz8VIqjaZ%2BwttQPJeA%2FzbbEvYzu6nnMzOZg6G6qHx%2FmrTZG2FDZ5D6nWhjfed7HO42%2Ftq6MsLwf78CMWMwg1cPUVubKERLOmSZHBijcOI9ql7aZFXlVxby%2B4ZZIK0CxP3um9eQwYTW3nKboqxyv858ggPbxB8d4IdlUdN6gfrf%2BmvBqhzp8uI2qMxnet6ILAbYA%2F2%2BBk57S4j5PcAb5borQGj%2FVgHPrrVUICu9P%2FKGZwnvc1mublCCtQm9g8gmVz9ABYf%2B3N6ZNQXzFiYq6tQP0%2Bz9ALMWhPuKhgVdfVaVH5LJLFJuj8BMuT0IffQ8Qnq8U6CMlXzd21XgJBRX59WxM7X2vHqFjnnYoler3Yj2UTj1YW8uHD27ruqggGcUQDrPV0jV0yHTlwzJUZjp%2F7%2Bj4RRUfXOlaNOlHM0ELqRangRStc4zI6ISjSLdluDjFVdZ6cDnkDQd4FxnfgJju1xsZ3CIx7GrtB3o26JeU8JrFnPUU4ZbUGrOubNsa8jVigX68vl7TUdLLqESfw%2BZR1uHKwXtXDFO%2BtYjSVtW8vZzkGn7kn32CSMVnEb%2Bk%2Bf1Wf2eH3WzJj1ywzZ8rkoJ%2FsY6771F0Oj3YaFFB1M5x%2FtMmeUecKrZytrrjnPY0wrreslbuBX43u7LcANulKB6gRRyiclZoJHn0Z9kygjBodCUorx8g2mNVNxGn1U0FyTrqAJsQjMAPn%2BicazkqgWBXVs5KhI1%2F0gY29jQ%2FcWlMkO7QkhijYx%2Fw1fNbkhKYKrouowiVk7ulnXiVZAl%2FRPFoCE65rZICTIx7FIxiHU7V2mUey69xdaoH2Tu69XDSTAT%2FNZDuUVXixXMrcQ%2FNG%2BaIK4acnTw6gjmtAd412kZk%2BrvHdLWzmOPMtZ0lrvf3wd7gugLzgo0yQAfW3AZFmLtdhneqmvPchqhxJ27ch%2Fyt1%2B4UBUIkZjZcl01JDx7Pun9RWCDk3X1hfEg230se2LoQJLjq0C8%2BquPghvTxLa9muWrQLwI8u6gTPr9VxJDxfjfLR%2FWndVpp9T2HpaWE5%2FNJdaqphmfR8%2B3FB1HvTlMX6Vy3UhOZHMQR9DFZ8S7mwxnjsX4nuUpzFi4xkeamVPuXeLexytvdlzFiseqiDtWI20E4wJp8BVhp%2FOY5nFgWXxaUWned8hKDznls3ov0eEdO%2FJRTAiFq3bFVXGNoWOKrrQq8yXpOOmGXzPN5VTfUCQl3OYzF5eqj2iH9ftKnFBB5%2B%2F%2BsJKHoRBpglLA0egSBqJLPTsx5b7UYov%2FIrIDMeK3ombhreKoAFgmSEswjv23ZyZyk7h0U8wQ%2BbqFqx%2Bsz8psBB%2F%2BZm7LMpCetDLGZRGem%2FnRVKFDlTk%2BLNMIC2nW1QIGc2DkrWeHmNBCTX27YVU3jepDn96%2Bf%2BHxHZj3sX0Mv2qGlZ2pQ%2FO0SBHf6wgD9TvhTdcNgZ4EACewDKyTbmk5myV1VHb%2BlvR7J321hLjZeDtOPibicX5UpofyAZzFqBN3CHp%2Bf4ADDwK9AEdAvMNmVQljqo6ert9pAp5LwgFE%2B%2BvGAQYeH6dRi8nGRMcmqVONC5kLFWZzjnj%2FEU0mfCGdLE7acBdis4AY9tr%2BqU8vjdVw%2FsmBDIqg2PCBfbTc%2FINBoegRgwxhgjhsM202IEB94bMMhafDhjMTqyDVXb%2F7heyREfRlCxLkCQybyV97o5fgJbQ1ltGbOvG54PnEu8W3ESg4oAA3fDLssa4swkCwqo%2FPy6aW1tOe2jm5Iemvi%2F8OCkSKxiesPQI%2BlpC9TDcMb1s7Qmk5BIUQZ30X42xS1F6p%2B75ZKuWgQjoDuNlAdzk%2F2pxutgCDPkHtsdjX%2FgBF1r2N%2Bn4sn61VUOHXVyAreq%2BmYGGkeJHnGxVsuKXIT%2BazUTUfTprp1DS1l2wT1VKfj7AsMo3xkd2yHyD8KJrFEmxhQ9tVf7I%2FiGrdmUnEFBwwefTII2%2FyrCn3fU2KqmQmGCmODI4aZbW4%2FRo8%2FDmpMdcoOFv4lf%2BWF%2F390NWOZFvKucPB5hXk3jTRPcwgmuinx47cggaKLS3LdMNuxjUz11S8GG3NH95ZFDZyHYyAGzxFSj%2Bme8DvQg7Dq%2BSvBLDyHS1Y1yKjL%2B0T4lzJ4jUp7pZHXQ%2BlUC8PdCo2sAnW2XEMakVTQmquiTU6WFPsP3EDXu82sptRQkZxUwPJLzIPIkYGozCTsBcSMG9fWjZplGeupehl3KFqKOFgs7MRxKXpwkWVcbv0goZqqJ6e%2BwJPWFGogSFrHmn%2B0Z1qAfy5tgn0du5TrwzykWH1fbCMs9DZyIprF4TLGwhu0WMsmwadasC0MPQtfqcC96E%2BTpk1%2Bd7ckKZQ3JQRs6ZmQwYluvUUFw%2FyyU1cCBoDi2CJOKlOrjcZnlYSHz5w5MFoB8GBpvSUdqnSsn2SHHEM%2BLYEvyBoNN3ikG6qxM%2FEM7CDKpNsaW6rS3sG7PwEhKYdinB16AxWGJFn9Cu3aOwkESgo4AQ1iaLqU2gHq5kXtoOMcG97vd2nuIAODxDnD6myqsVsXFb7vjfhb9rGNu2%2FeFapCT92fZSRNN6CzUVKHAv4xcU06s1UGHQm0Cx8EL%2FoonHaolxY5RgOFvuau1vcy9hT5VAcX9KxOd3Do2LnUT5CQqinptHpfxVyzumohUoS85AQ63hPs828YM1vfDRJNoaRI1%2FB%2BDbkRY4%2FqGO0%2BbDhtdWBWvL1AOfeO6xCyKJhGIYRr9AoWt7rBR4FOzqO9J4PgchLnJQNDJ8%2BknGpAMylzBf0Q9Ddkp6ov6NWbOFMLczI02E38bPZdxqmTv8WUBzAvJAFBH5RVlrbAZM%2B0PI3RzgobITkdwcgvXXUuuHA1FtJDlS%2BYqpGdPWyWwMhELdyVh4Vv6kLxJwyh%2F6%2BNc2y3wOYVpw1DE2lVFEFde%2BtOSPQ5PsikYE4XfIdtEB6fsvtaDHoy9EY3JnSSx1i7JpBcb6quY95ntOgfkW4YHsiZFz2hRLw07ac%2FClaGlUbJ4t6qgRPq3IkoHQE9afu2Fm8s5989DDRT6h7kB0%2F4d6BXnZfUtL9AQ%2BUqnaThvXcby2CKwJQ867SjyudidZ5Eo4see2uahiBFfzwCbUF0tQV92O6laBTOU%2Bf9SDOerPCFCqCkmGu5QgPP8A8Vvi1ARyGvP993B5QC28nJbOZMX2QIxZ%2Fyls5rqmf7LOpm4FOArpjb4qROfen4w2A68CNUmJ17pxiCDhF%2BcSxS%2FF6HbYyYGMoUOPXpSy%2F8KYW8ZVePkfblZpn5ibsJhYv0Xd6%2BNYNZgtnb02GZ%2BjOkWlWuAQBBf73inOVcheH5vbyJjtkI%2FqQLy8PhIBaPPC1bL7Ocpo3OdOyk812pjs9Z5j5vAAsyHK%2BjB9qH1FoXkrxeUgLF%2BBkLI5B0GavmerOHkXq5SJboURNouJUf9pcznl30KueXk%2FjHpQ8pE0UUzyWSIH1DDFA%2BPVjV8%2Fjn3vygSOF56bNDCua02YxPzOHiHTcXRbLtg%2BPE8jFUnInaKmBYMoQTaRTo2%2FsXQ%2B0LJXXWkcVBvXQSHhMKmFrSObQbLu05Q0QY8gPsQpaX6fs3gBZhosN%2FjKBZaNOEKKX%2Bww9aZQX6Fn5OoQtOuMo91F9IBeLCz%2FLZ1hrvMYZGREVV3fkF0TrYbjAu2pbRwvjPQ0aTK9FLS0dmQ%2BrqniJvo2zCHPHZMycIlBFyzJvqygwWUREXsQoPjp1aMB0Hq3%2BsQDaoxz2RiRtxXAJ2jp3DghWRonJ0KEJtDRXXPCI03Y1c%2BJTUWqJpCnibC%2Bxt8qKFFazOV0HT0Z1cBqDJQLVerbZTSLwkowct3ztH3Uc7Kub3powTo8COnUpOQxQiTEkqOfU4myTRwK9kJzDm3Zivr0fWOBfDprVpbeD0V13TG5h5h6Dc%2BNHm%2BX1yNJX6%2FuAtix%2BbiNAOqE8G1K9JY4gJSuyXw7EFDReKKynY55VsasSRR1SjjQn6lDVtJ5ORdRnYtIp4qYfRFFPohZQaXcGFXUY3QZfyu%2BOEgzTb4p1xFBJRHYYDdXEi2vr5fs18XVpH3UlfIKfP6RBrP15iUInuZYdW%2FQEVBsBr30YBGs%2FYUBnXr0eb8zVBKnL4G4tY48seWGgyCvDx22DAX6KIKSgjj27GVjUcU7zUkjDp%2FobOKdwA9jqdrECuWrhd%2FibT3%2Bh2wgXavBlTqmpj7nPOXUSPaYPNUrH321SAuy9eIxSAWVyBFm3jVTed3Zal96HkBeUh399DL97qM9rJUgAoMxPZS65S62kv0VllwBsulsmr3%2FPsiZhlXkvrPlfG69Yw85h1tcLBjmYCtHyqC4Du528ehgXWiURUuGyt4y82JAdr6yLIjjs6qOUot%2BONhoY3VKrbZ1Xw96435AfYligff%2BwbkdjYXEr%2BsSHHcRObkY8Wv4frrXNTAAMws7IcBrbI4JpE9Ks52CCIwidq3uN0X%2FnZkUAmVo%2B20LuLUh6Pua0XwByOBUJxyYj0b1vmIyr1yt6RJVeH0i3zaIluAWZPLSirQaKUly1xzgc4S%2BHjKAr%2FwP%2F%2BfZHlyAJ7eCdfJ%2Brq5CmNUMgJsJyD6ir4gTWEIaOUgi%2B%2BfQ0GfIrPHVFE9ytc388skjB3Q79mqUB1OIwn6HvF4ngRZejAMrHWL2ap36M%2FmtQ91sdTXzHH0fYy7WtBROLOFj98Wcn6SVL%2F5Mj5ktxVL9IRMA9Bn5mxu2KVccKWPM%2F%2BeAcybc9S4Ata9wI%2FVc%2FNEwpTzbedJY3UCGZ%2F5ilaawUsuPa3ndvtRdt%2BJYeavAXnHRSbgldgCRBkZYvRLtVYPJaqE7f5cMsy%2Bj3SA0rDgHpKvtF%2Bf%2F8kYxeRqUW2vHBEiCjSf%2BwlBMyaXZapfMeBjrzzgWUs6%2FjaDIFPuLrmGTvz3PuNrThdm9v7K71jqVv7Rc4792oJvt2BXfuyy35D2cIOwfjJe1eWjlqK%2FA2HD6io%2F52fuNX2WPv6308o%2BXkof%2BoJhGi6UmXxyKoPPWYr%2BtS0CNrbXl%2By03ZGF%2F9iaKJ3MbpZu%2FqKs2zLvB7OGkn0NNCCWIzpZ5q6%2FwWFfx%2BmAGi7IozXrGuVMc4SfW%2FhbGHiU42erfVB%2BnyvUr2BOvkiVWzBlKvi7jUuzPXkQxNV8l6Ws0uwkJMJWbeJmNPj24t%2FYNrsimwXWe%2BpPoOfLe4CvKU2ecpW5iwROBhvYLLw4OPYIl%2FXTf4AczeQuCseipWdi1h4wW8F6pfJKDUIvZHSRLnh%2BuY%2FoqFtxx89rtJMxZmbJMbFaPUuukeStsWV3rm0iIv3WQZb9LlrhjUMvDmDPRa0e6lJez09SpqTEeFJmu4zlrTPTKvkRqKs8AeOdEVXcOF%2FXUJ%2BbQwuBX0r%2FnJsXT4cNycbXGpwA7ieqd9n7el7Ica2ikZjxmw1dXt8pf7wdU0tYp90zCSbAj82olnD7c1ZIkyAp049G5E%2BnTESJAUB2uyEkDo16smeLbkk%2Bd2%2FX5NXnrTVZ48msjwEe2F6jRTEofF5YQmnJDTUTAMerAzk9uZ4cg%2FOiILYoMfNU8UKJtD2aNWsLCWDhtwfKdhYfjLXV2mp1GABCSlElRNKj84inDBpYhXj%2FVnScl3fgo6l%2FnqrMkbc%2FF33R5QjwvKYu176JZM8QOj3QVUEDbDzDI6xHpK2L63C%2BDU%2B5peCoZCahlarlid6NI0MTvPX7ADrSWLqVKTBvvCXl7e%2BXMhIdSq%2BtP31qbusHpiQwkG06jTogDKWSLCgamxHFmMCGmx82cIFUOQZH3X3JbRWf8jWcZ%2FqyXx9AYqqTqa%2FNML2WXIyTBx3qVVQtk5MCnrXxog8%2BN0IQKXhmrI%2BwsIY0Rm2UEjNSwdhXlo6%2BFbxP%2BHcARVVovaArIB%2FhbHQWL39zzDyxwQOrvaJjB5s%2BP6gKL4obduXZYcEaNw9qCBXaR2zywCL%2F13YuxWLZOWRLmRcKc02nVjfqGUlyfBOLhuuKluuqenR8HXoaFs7ANqHf9dfNBmBo%2BYvkbsoT9Ec0gh%2FJ63kFTVStzoO%2BDcmuBrN%2Fe%2F7eIrEAnDABm1w5divkaQAaWgTmOWL6gOKaBVJfqjV9Rx%2BqTO2DDpXYA8afRPnil8c9nLjmxQExCmEkUlpLiEJD1bkTMsxmfJwnX%2Fv4wMUA88BNWKt8oeiQZ%2BIoUgmznqjPpgq9qit2N81IJhsgOjGEFHhKVnAwmwgvv8V9P1NaStOsqpI7ZHOnnYSxTQruknxbeu%2BwQSsnMfHSNgAjL8ViTgQWme1TnJeKcnKTVYJewRbyMSU3jbGiKTk6bbs%2BAfS5YtPIwW2ADw71DA3bJclcWKT4QzyHB2xHXwEmXcvNBpSePOY%2FPOBSUiYC%2BEC2uKb5l9oqZo%2FQEFRgQLYf4g5mjSqVQ%2B5UBPLaDfe1htlGC6IGsFexhogmRMScQc3fCNnx%2BYKddeWj23HFpbT2rh5OalM58HILT26pg%2FTH2UTSY5jTWVEZeTxTUdBRC1I9BY3oIlVwbo1%2BW61lYqEcsdMU8ta%2BjIX90tPGP4ZKj4YQHTLP%2BtKOVwpR5GpViuAQBiEdz%2BZHQ9enHQ0Oi%2ByCU4ad1nb64mdG2Q2tueU2zJpuwuNTOWgcaz0Byz0PMqXxb4IDkyu5PJJ4SN4YlPGEHbiellCPLWp%2BjMwuNv0ZzFh49ADS0NTTkp4uTHemvgjS%2FhWYvhx0UgxQGrBxoX79hkAdrZNLDgJ%2FZ8ilb%2Far%2BqwGunY57zCuI8%2BNoi0EgI8SGdNi4IX8WQU7l5bkaPdTaDJizYHSLGNg%2BMII91XQRhK3oSCPiYZy24uEMBBUO%2FZmFnfZNZwJoUzncilEIFIJ4qkdDfOKOfxYAPvhFkvrKKRs2Y%2BiZHtyw%2BOmD6BQsiP8P6pSYWQmKNJGicvfhxOsL7ODC1iU6R6oT%2Fw0tiZ%2F2H8g2HZYG%2BU%2Fy6Zl6ipHK29LWz1Dc07T1S8v5KN%2FB9qpZnXrbrTVaiamgKnmEIOjvGbNmrkowHvmgXmHxl5xfDUh2y4JTPRnNLp86fj%2FgDKIKNmycyrj3286%2BYPbFqaMYWZbYWDgTONQ6p0zpO92jBUjIl0ar%2F4Z3qOPnobtDjHbzfqFdkuz75frKYnjwfK8slE%2B8LnOgPa9jBi6mVDMV5cmtdxUi3AQA7VfkHpWW0hAfwIVKzYxm4D38%2Bi%2FHpNLSCx89pdP7nXz37AAnahCedci6WehK8E%2BNpy6ac%2FVyG3WFRCLHBsLm2l1bgIdzW05RTX1SCpSh2EUxFqhOpT3f5p8MOU55Zz2udjjT51973cAusK3aaAyc11EG7iA7NE3%2FQC%2FTnXD%2FzUMT2kwITbLO0WPk7JyGRkVL2E2pCzjF6cf%2BwylWXl8StKX0meeIRGxm2SwTyWDKvwHtKIj0kwdE7m0tnkW18ha3a20bEkazYnsT%2FnZgYz7egM7Yb1KoVDOgLQj2bVzGuuSbP0u9hHDJ42yVYvpKxavnujfjEbd2p2wBecxNp7o6qNbT%2Fa1m3kbBAsPCPLenScyx8oFa3J%2BzWgVX%2FKeJEP282ebgDyYkeceetRxJP4BxmjjGGJNz9LFWLN4yRg2YJarH7hpttp%2BzVvUT1z2oF17Yq8Wk5L0gAXYdmcXeqd60OZ%2FoHgz%2FnVpJAt5Bs9ArejroT%2F19KY3vLtx484W7F7MMPLIK6la9ZngGTegM%2Bg1Tb5c0g9nuzapxMDvhNrxKHG1qfN7Zde0tcdGJzwKb%2BfdNHtB3ADIX6kaI%2FfALRg19A7NHejTEimVzt%2BEUXwRokD%2Bah%2BeZBS24ois%2FbRQFXRAeevxeJckcpckoaBcK89Rv24TF938ohmdfjzUrxNCqNai5ouaZeoc4NBY1F3By8JFLQXD9s7tQSIrqqQmZd4o1dXUK3niyjdgxr4mcPq4YGzq7v%2FEeuNpZ%2F%2FMe%2Fr30BVRiVjRvLFOsa8HeT06LYvktbWZQlKfd8sD4%2FvkqYzbf2S3z4oU4GZnnI%2F0zedHnUwA1VOMzWdrqV0Sf2pJ99pOCgk60TxKuSaFxZTYrIDFs7O1%2FMNZxWTRdMVE25yMqoxMulRAY2GqifCargGcEl3cfLcQwJKk63uQLjuLAgQNoeSmRtvqGq4WPFwlR5E3o9DE1SVnKSEPvNzDw2OmZjvtbkw146sUTBVHGxBBrRztgTGMbSVkz1GLISBwSQZ1foZ%2BgwYvvPs2lpfQzD2MdUQvQKOnBLouMnofka8WiXvncKi4uCtTz9iq%2BfSp3YTilb8QTKlaUt68zxkP3aOT4QOaPcZ7JsyKLGaliT405SzYzmetArlOJ3Vj47rmanVnLddhII2CrrqID3vchQUhm5TjoFZ7GuYjnRll%2F4E4vsFgYzSnpAPEcnobNC5nHHVgYmLZO0m7MzXtwFU7LYYYO2sBrurTqkr87z1OY5yiZvOyVoc%2BYmm5pSkMP88D0xg6hsUUfbZLdV0%2BSrVwVt4%2B%2B7wGPiAlxeGb8F49UHRpxSi3Ze%2FeAGDLJLAJcY8qgWjUhJHfpAYQYXVnIfQ0oMzTsKnooH%2BES1ruiTQE29g0kpvsy%2BO7L1k1wGNbJP6ve8r0hKRsAvXcqQEdAA8JuXFAO3z46GuGhV5m4U%2FQ4jWpRzeJfeUQUmfX%2BYSjkIUv6pSe6GtHCEUq1gWpKOiCN9kxdVvhnkNeSBqGSfjjYIDUEiaMUviOCy9SdzdZDzMWT2CFqYB4wp%2FpB%2F8l91Inru0ljdK7%2FA62BjFW3skNkBi8Z45Pas5nQdycFoaPT%2FB1HF%2BXbTSl%2BEG5rsIa%2B%2Bqsn1y8LsLhf2%2BWZki47all2C%2BoSlzy6CKV3Sdz1hgRVlR%2BAgkXFYgo0wj1QuPxDoVPgWjTyfwJ%2Fbk2jIx%2BuchJtVZ9FPclaYT78st7sma%2FPM32OqSjvJyJNAAEfvpy1tqsw4Dt2kGaSQX%2Byng809vsZTIPJHLCvwDM5jGooDlOPZekv05xmsfvD8fsEoDC0zSD762GV032%2F1tvlnwer42DZEGLJTcjPleD3PLT%2F4SxLw4AJClxN5j5F73goomrJWTAQSTraDOhx4ijJMDJGujDYQp20SWONxDli7QdA7RDLyajNihXAzxcfK1MmMka8bS6F55C3gKfmlLApmNEv%2BbAoTWAPJ3pNtEWPFHK5EGt29kFV60JocNMK%2F6n1AybcrKBKXShsMtNi4znGwnQ3V1VA0r5ppFMQvyGGRBmwbjebd%2B6Mut32%2BkfQojHJkZoI6GHSWURV9vh1gB%2FS7jEKos8mM2ql7GliHOeqL2xVdwTXeb9j3Ge37rLDd1VpGgQOpky0v4nf4CYAfumRKIfOvePnpangZaycd5Ee4LXc50VrIRRTH%2F3RRgPV%2BdcvlgNMRAp7M7xUPO07O5jhzfuzobqcE2vVaIxnW4E%2FKkxw4f10w9N0YifaiINs9%2FMLwYmlULS%2FlOoWgGLuCe6CUDBXE%2FLnopiILPEHxyR6cujrom6%2BzmR23T8ZKlNlpWGfCBB2K06uLQuxMpf5CCRNPYQtNecQiZOiaOCB7GKtrBlNMZLAeooFnQ3HTJYaFyhFuHQutuUzyMqk7Rk6pKTHTGEJRK7fhKwqImAQcDSYHy5to8s4vJvZZ5H41uMcZeOKK1pZoinVooNT543JQ26QNarwCND9wBZlaEhj240vXt0xtgubfV9Ed8XjH3mIJgcnvtImJHG5D6mgHHxtw8Sw1wWbYy9RZv%2BJVusZTz0yyDs4Wm3wpinRvvwcXOZg%2BHBf3jdr%2FMbFlBmESbdhAc91ZLUXJjl%2B4L5KZX%2B8agilc655uwzQYjWiCtmsBnw66mu6%2Fn3s5d4MXlXf0sGAGloyc60jYedAqjB8sJx%2FDluEV%2BA1Rty%2B88hy4q8YUSmOLzyu49gG7kBaCxb0h2XHUJDKiMk08mPnKE0JaigzcA%2BjaBsy4qrBQP3t%2FMosH4NQqWTaWugIsB3oqXSh2WAhed4q%2FVp1abrf3IEL1EI8XNr%2Bczb1N%2BMWNuaA59VKVG7wvWep03UITogCpySugS7iL%2FGlvU%2B4EsDiyrxybZGYmD7VXWyUufxvy3H%2BSJVo1N18vHxsb0bb5nTtUKYWRtffqE7cld5XQuQ9YTEYkqk8R%2F%2FJVJqQ2jNlGIxwTSyZBnJDdTZyJKKyndVx0C2mNrV5el78LkFlrpK4hZweTexJ4hKnK0hKmcPXLnQWwwaZzFi0qh8Xarp%2BcB8HwVEgxLNhOmeiLm5KyK2KZ2N4cIAU4GLKajhh07%2B6C34L42wvGb4tcHETivIuIIL1AddblxNkvkdzgO0tWlsy70MH0ylkypYFQWPbDa2Djfka6eTEXt5QeVLrxbWbOxLTL%2F4Fh%2BHZmnuanHzeGj1lb1P%2F2KWkDVN3XANA298JLf1lXQcCZWbOZwqQzmHyeCjfuRUF882fXjnyHDcMymzGnguX3Amqwv8ED3hviuFmk63FBvgnGJCUh2qwDmN%2F8mlJCpNnHA5KCFVjFDIwjjp1BKK4WtzgaC4RleqIfMycMMxgu8J2jMVkEcOv2GqavO85%2B99oMCAJRPKFmj3eacD%2BJGVpoegDzYNZsBDYmSZMrsMUw%2FFWnV2qQgoIIftymEwaONVXA128w7MSYq06bJoE2rR49PnoM%2FlPlxy7qSmwvVTV8qOfZolg8JkNthc8j2RajwmU2E0090GVEo1xGGNHM89EI9uOnzV7AhqsW8bzkPh1rFT0PoU5VJG1qgke2YQvfhGIU0N42dUwrBcWCfESbYagOUY6CjEs6dtYxMT6bBXegXiyEvuaYlO8QJit6DzeUKsBKKPVuMs8BzzOMIQ0aZu%2Fg42Rgo36noQmsnxXP5mnIqYmY2Eqd0Dkm7odvmq7feR8vZjR13yf0jJx9rDiEr16e0OC3%2BJ9HoEeUCelN%2BplV8A0%2Fl%2FY3xwWunMLzYjGBI8Z5p9afyqLdB7PeRcNzJDWZueG1W2SL1XkHp4dDIDtGfXXPk1vscGyQszS%2FtdMeIwkDlA%2Fse9OYOCIPvcC2LCJ6Aq1GDh%2FpeUXZWIcvd02NipNhAhDOnei5U3xKnqW4QtbezyeYv2aYs6xOE6i5uLD3hbCgFGelWFrjGocCJiOMcJy%2FNX8fCWTFy5MinnXwDzoV6WS9LuCGUP5MXnGWHxCwLc81AmuZFwOkln9CUZQtjvTfgbAIDDTxWvgfOiGy20pKIrGrwYMQT%2BND60uiVHxWqqTBOfv%2B1Z6WwZQDfWEDSnmv20YhETe9wvUl28R5lP%2FDTQsKKhK0lFVJ8L0jto6qlRspJV17DJ02WZ6WPKlICsn6xqXOlYKHwWjdfpi4TJhWcapPAlbakMiuMTmAEaCdwjnOD4KXEJApVbUrPmMXEf0okqg%2Ba%2Fwwsqc2tc13i%2BKS2%2Fj2Lui7hJbUnVQApiKzHqPfigowIr8YqrHnSTZ6SUPtDq6%2F%2Bf%2FJTQwjcgg64TiU0vigsNg1X8VUTkx5fWThuufKF8HpvxVE6VUbrWKuko7JcPaqZiZP4gblPagiHzPh5CLGE8vCZuKVKqo%2Fm%2Bssoaj7H8pPureCYSrz1EBmnHBv%2BlBkqtxKPwu0O0cnDD9iGT%2Fq41mTOQCjqRQm%2BgIFej766zRA3Zhq7TbsK9fWFFZx23jE2E3LyrZ89kVRnxiDLwdEbhs44%2F%2Fg%2B%2B78mOryf5Kf%2BLEOO%2BX%2F4u2YubePQRVVHmSEfxduhuEe0%2Fq%2FtXeaobyaYy%2BHrT97UholRUnmDPa39QteIgWUU5oFfZ4FP4DvK9nZ47DkJsCSgu9%2FLmkyfGFijsqTYr7PhFT%2F1SP%2Fv1XYI0Iu4qJlKPX5z7CeWpvYl6hsFXy1TbnkbJpWok%2B9gb29%2BnPAlb4tM9kTaNZa8o4FzLpVB9xZw%2F7CuP13Pk3rPhqtM5EwB2pT5sq9Ur95CkdiuKYzvUoMawO07Y5weZPnkTaVR0TrOAUjkgEQKQKvaGhaCfQB9lvq4Oo78KjA0SRpN3uzwr4RyjWqfiTMUdh1KK4vSMHQCAUjPISnL2xDeD2rNOVEENhDGaGLC69MnZaLaXjnp%2BI3kLzffKv9RVfmJ%2FjQzywv6o40OWdL2NOqesQ5ZbfIm1gfMwYiLOfUEs8lou1c9uVLmO%2Bqts4xh1Ckntcf%2Fsznf9S0km5hZUBsWGSroVldAvEoX%2BuRC%2BtY3H2bixGny%2FzDX2b4cAjmvXKSDH4ea81kN4Ka2YUyaQBcpWdTDeg8%2B57kUG2BQQy6yRabE4QY6aERCYT05dMJtJZazuM9hgAoIFF5ZmIswnz%2Bvku0P5OBjCTNb%2BVyBkTnlRgOISOuL0%2BjHp2h3w9GZViMIqM33br2zSZuWqYvDU6XCFz76TTdp1NsM9Orj1cVTDY8NPgqNQA2klXQLg4UvfqsAYGGSmj3EFRmIi3eZed5TqmjlxgPA4dovko0Hc1X0lrp0ge%2F5EdhYGSl5WzYA5UNmzPLeT6zLc1Qn5h61yCKE2FOsRqTfdF8Q%2BoevwTFH1Y6JiywnAWK4eVcrNXvXH2rQgSYxKQjlTZd3PTR%2FRNQKAVC3N8S%2BYVGRXE0NgOFT6XeEl3XhGtTjwdOCyllLNbRckKusY5n6UQBcpICHkHd6NtiE1w519vW40iAMmBF6KaI%2BTjuAHPRKFWT3brZ7JCh%2BF6I33k%2Bs0Mgy6rvKZbRe4UugqXBwDPIi2tgVTyx5HgoNigZKMNMJgM585CMM0wmzM6DsC39v05vg8lhkcpPbHpi0lvzWt7GFCNrgvxqX92z3GfTkmOqP8OzgPDrNuPRSNocUEFO9sIcSGbzCnYURFQ0KoMF44QHGnu4Ju0wMtINYuh49wuH%2Fqmcs9eSgUMtyHJcL0fD404ROUoMhV0oX%2FqWI1L5QHPiQAuDffnKPJ%2BREnIS7iP2DJIJqkOktrwbvai5zOMBXeMtUzXDd4eF7V59M2e825Bxxf6VxebWC1H3unY4Qhkhud8iL83xcxTBbkCETihe8OdsTGsSRm2yIle0Om9hwRSqwkF%2BQRDpjQN1QVf%2FmPmsZ03b9ogd7T2B98gk2lVhrJccXXGTNvEm2NkFiTm%2B6BNxzwg%2FXkT91mlb5hgrb4LyhSyM1wJGff6bv2lt45Agf4Im%2FDPsfbCi5pMxBCTM0BwpKDv29y%2FEea1WyO%2FoSyCt7Qr%2BCXjqwMZML3KPC%2Fhg5EZvo0Hv%2Br7FaXzM0bh1CIVqnKbsNq5aA5cImHRAiCOs%2BFGv7HUhnfNq4w004AEAvMWUrE7E0QGm%2F5bU5Fz0SFcDAfvuyuWOfwLq6SnYiry9Krm%2Fh2Ao7w5U9a68IDyJNC%2BjYp7sIwXwWE3DGsZTvdKc7kGVWcdBm1Y8WyuDSuxHSrwRd%2Fegb5KpqtyV0PKpUwKbIAejA5D6%2Bnn31yiTaJYyUl3dCgekOly1pq0wr%2BdjJ8B1HIJVhP41eMCnS0oJwP250XNxZqPQjlLDFaiItWu%2Bg1L5KBt11Ios2uzMmPiGTNQpBl992qmzrtR%2B6B%2Bu%2Fkq0OH1b%2FbwWTtjmDnnktl%2F81WcuS3gk5o3F9dWPSeywMPTXoTdjZ12gs1eXziOHxBO2aehu2a0w5hKjaGkkEK1ZDGnwYCrVWISt%2FfJpLA6tp02JENGdsFt3oq4Opc6u1uCzxnffCFEfOR9kO9e0nTeFETiib%2FhbPSWFO9jxh3L8n4fFpVHvr5Oe%2B%2B84b9ullpAOpopD0YdTQjPzek2LJi4uqUk2DhHQ4ghwIXXeHFT4GRSTNvZD4iCStVVn2u4bZZQlaREvVmDp6TbQxqxwDWgQJWP6%2BXrXSNs2prhI7WFeS%2FYOmCZixE%2Fnfdd5t%2FCOSLKwz2%2FQaOCaFQDAuj5a3FgfUrJQ35rcUmiGv%2BbnEvCnmYtDTYLV37DLilb%2BNZvsovx99zOwCDRop0aj717w41VMUU3Q%2FxJZBz3WNpkMsgHKKb7KdG9nc%2F6%2FMh7uHkdb2oOwpa5JqReCKKjPp3P9ue9vZtE4m3C%2FdOdfKgTRpZM%2FFGn7RQilxxE7JAa9Y1Mg3Zn19ionZrNsBHwAqu8AfogWScgprNlX6dvFQ8GQDuV3%2Bv3Mb9fYTe9lIsZL%2BMK%2BbWHj0kjWBxgs1ih13Fk9ZF0OWK6zH8NhOkmlKojf5R%2FaDk2uQRO38xoPt9%2BabDJ17x01eaiLNkTOAzYEu8N5DgB8WpyFBJEGHOLElBVbNVFZ7Zg4FxZOyJC7DaqL%2BevHCDY8IjGuWwKIc9DRYXHwEqn%2BGv9VqtQ4UG9zjpKp%2FdGF51I6hkof1CY%2BipZ511cpwToqLJDW5ia0Xkijwqy1i2sidbuQXt9yu%2Fd9spZHq61qrOoOPFAGBDWm%2FycplMjZivfz4jdlw%2B1P9ja0tYu7FlMjYIuyGTHFhaZuhGPfgO7Eh6Br5herDE5SFCeCeDFcCKNS6ZLxjpYm95YDVsE5zRG0xZMJIVHRqN5tUz7VYY%2Bl0E8DB4fvFJiFToAEqw3XU6GDQGxsadGdVZ5ceTsRMCxX8v0H0wlp1DcilSXx5c8zCburssEO0J0phgWUsdup6OkJBnRVPxRtZNAAiLXKN%2BPh9b7HYQf3J2%2FojIHfM5hwpSD35IHlnk5wJMYsTT4U9yyoQncfceKgAu1q6iW2sQqXLDThENfBdfhp8TNGVc4JBgpV3HeYUphw3vV%2FFM23dxw%2F3SfAOvpd5HLHckinic36Pfyef1TGBKzY6eHppNJYjZoeE3%2BM7yqafrBNg6m18DkaYgQKoiNuxcqZPvu01C49kKDY84i4wxOW9ka7dz2JDyjvtl6L8B1xgN4h9atXAvBqghAy9IdYgN9vaGG1zBIMJRsIIHODaqJroEmO5xRnL2SvEnD5ayf3jIRieXxqfb8c%2F2UXdaXLbSgz3zHeUDGf1eHeb2H%2FBNHhSCtvVttYTeUXHX96teJKKVUCPlR3LQJKdAL9l2mxh6QkqMNtyvZe0XvbCOmer%2FIeCqaCMmcFYcFXO6tUsefCAlyBAlJtxBmSBagxkpSTCfv2iFG0t6pe9jtY68lK8by%2FxS6dHXgMw4UfTCD6IA9Oj8VKMaH63pswYPH2XligfWu90J8lZ1hVNeeqIDfESAT7FKg6dZriIWh45ebPwv%2BdDCD9GMeV4DbdzRBqz8Alr8ctFr1e1%2BN41oodWkgO9iBraQqmNil2NwKJWWiV2RgDcr111B4x5inx1GZcAlQb23oc1DorBr34yTAkLz9VWiiBjvC8uMfR3WOJL71y4e2SenKsHvVCm1fxnyFD%2BUDk%2BOWUkwSaxpeVquxAafMFM42Bk7ba5g1sTXluiuknwoen2x2xdom7vXUDCEZSlwLcZcb%2FtB2sTftK2f086cbv4czxXwcPKhdIxSsYQUdcYn5ditiBUJytc61WBAszz9W9fUahDD%2BN5ftdc5HGjpcEzTLmEGpaD4GQ%2Fi1xj%2BSjqCzvoTL%2Fvvbe%2F%2BJc1j6FLO%2FdgGnDcxQ%2FauxRn7waTydRcwVJQTWQqPdkR6EaziR%2FhUcjBbrW30s66AVLTr67hhU1E5iH0gw3j903iIKJPTLML4RE9IPjj7PgOTsCV9AH9Xjxh9OUMVvBGGzLfOQBbm9tiz8JB3p%2F64olqtmB78McHs3ztBC81qhvMzW1WN6eaFUUkfoIKjWrx%2Fjhy5KIYodjZ787HJnP%2Bo8WshBfhm8vc3d2T43WVNBgE7mVTwowIp3xFk%2BcRR7jod4OeaIzjz%2B1icYCs0cS4tGFpwFVllztFeLdDE%2Bnu8Kz8W%2FwkdStlSqaoiLQCsjCrVd1j%2FT%2Fsyxuc7tU7eudmimAHV0Vo3hWuEtULduMsQ7KT92Dk30TYQLSKp%2FR6IFLRDTATPm0s5X2YKORvEXVxH3fkG8eQff9xYdbY2nbhzj59QqFoxe8LojyN2WcrYZEV3Z%2BWJQJsvAeBIaSWYqACJhIVGtdN%2B9JVby%2FrEDhpSCV2A%2Ba4YA1OEGVJBClTsfREBeHpx9HZ7h3zHc6yULzb7SWXasCtN3NRrZDCszpUgXA64Ah9hCvc7bAjpMjznSc664JODRSaMscRfJ6%2FVtrXPWP0hmk8xDlIveswQ6b6yRwOUnMOiQw5CWoumdbUf8FM3f9ZaRucNJdzcvc0nqiwuCVWdzDux2R0e1XYm%2FXDOK5GGEHDLIkMqOuJAb4jBV9VCClcI3TUjZOiswBhFDJa%2BGktnrrknseWGZvyWEkOBeKL0sR5fwvuEFlLnVGkbvG86Z2xsWFYI55f3OQme%2B5b1xD%2BwrVfpJIfvy9TpTXb0HjVYRugRubYO8D5djHX8q%2Ba5p%2By0rcQIAyG%2BE1JNV9nnJLXCLb4SgnuLOYAfpaHn3l6ebkty02B5hBAHCbbzRzY2S1O0vk28IDSJdlYcaY1TzSzckVPJhxAXsy0f2xWwMIkCI1GvjITJ5s3hpe3dyIq2LOM0svtu%2BNECt9WLlkEE2nrDTk5rSmIMEf1hDWFAeOm5C7Yagm2ydVWKCzChgoIzznHElILd9oNuasnp5BU5ta9Ncjzov%2Bk9S8KIIKF6EJuxbf9SUA9WIGJ45i4Hur2UTukDJdsYY3sBWasMyaoyerEmJAt6xGW%2FgqQGx%2BiBb%2FSBrL5IVJx5p02EPjlFg8fYny3N84vWXcQtSNKGv4U9FKih3ar1f4%2FXutRsj2PIWlXCnMcsEdzbaHCZxdvi612XTbVvf8saxM%2Ba6FuqoIT4GhNSq8vBc4oD2Ekr8Y8LmPFWx0trEFtqJq6Bh%2F3YQpH8uUZRcaw1cddJhLIbCqp3q0gox8hUGGJ0ccFhyVT95HuOG%2FZy7ZkT17V4hfL4pL84X5DsoLd%2ByQC7zi9Vq2rb65bPlLboX0b0IlO6xkibY6KggXQALrxYia2lN0jG2DMZkNXppmT31UXgNQoAhKtH8z%2BHCRMLQY1BKkC%2B2QuwUMZQmzWkmMoAJpNGcJX3yz4hN1btp0vExzS9xyiQ6fmA7l23u8mHokWVBltVBJxLkq4nY7ESr1uiu2rTyaK0Gvb9HkXqiKV3ak15UlJyrtSfduUJbsKHlXLj2W%2B2g5YzV9PHR6Wcsk%2B%2Ft4TZHBZWMwKsZWRInevE6oBLbx%2BUUYyO%2BWclyf6bXOqQKTPOxrvoWV7Xybz%2F%2FioP9mWNnZLZg%2BewJDbgZUGHPoSnkRFb1wgdDGCGqlh5dbjxazL4htXJ32bGyYRkw13Q%2BA6wuBFpFNa5RchJ8GcElcbN0DGWi9ZMFuvQVHg7suRl57%2BUwJ07tvjPBP97iQ9UhaKqDJx21%2B8OaJR4rHI6BHcZVgUl9nD8G66DhORZe2BsmJ2tR34vQAXVhg2exAToRyxTwRK5myb5m%2Bwr3eZE6YhR77Lp91vVQhPcBm7vodA7h6RLhBrxx%2BjC%2Biritc08tFAux59LJ5SgKSrb%2BnYuY2Hbtm6YN%2B2gEOO1bfQY4ifG%2BbbVcSowQGvKZpo5rnHgBpxs3dZaFGZSazLs70QDK201outxa9q9JrddeZUKJnZWvr%2FOm%2BinR7d8alL1r5%2Bu1ZhSNfza3eFOm4Wz%2F8CGwNR93r3tEAWJI895qlbtM8iBE6qSxIekgVlr9C%2BoxuB5zYbP4roljDgJXWCwXTHq%2FwEFY5Mfu%2FpGDD%2FWV8sT0jl0BB71AyivelD28pbK9gTa%2B%2BxvavSqo6Tn4FO5GETL1M7ZwRrGVkvim17IM5amlibro%2BS7NdBcUKBCI2Ary2sSAqmEeHRVfS018%2BHXqusmVjqTxsEFAcwzkK9%2Bn0cfWhFSq5olKmdU3kGSDZenVSzoOzrAGGPLIz1qvPW3Fn8oOx0CgnpXR6FR%2FNgplrRZ4yXGLz3nwap%2FCASpxkVOLqiHZYq91AHb%2FAh1fCB8CXs9YUdBSfDglM7dyvmqmdS0abOqOeKKBbHIXe0%2BVtiHROApdGy4vWBwM%2B%2B664K3ThnueXnkDni4uBXyh5KybSCVi35xpc4WWJwVYKVsnrzc32dEblIt6QdZCFxixc%2Fy1fsBj95b9ohMs9IQUGrfqhW%2BSWipO5ozGdUQof%2BI%2BrtjwHYpR%2B2l44H%2F4blOa6SFy57wEpvKwtjdAAwYR6i1I8LLw9orXk6pzSnfK87wFn%2BbwQ0bSuXu8x4swLuQNR3bLAtJyMi5ollHazMFkkvzCNGiCTUGc67w2G0CEYot1TL%2BB3%2FXGUP%2Bj%2FGJ0ZPhyYDu%2FEX0g%2FjK9yW9GC1K7oGEuJl4iTgAJ7vpHgy0X4M%2FzNyPZrnQ07T4iPVCG%2BytGg257JXzaZeppI7GvtCyECxFHdrp7PKgpwwqDf2WPcYcvB0zF5pFU49w4%2BNLg%2FfDO1%2B%2BUOo7Ou6fR2C4X2pWcCac36O0rZB%2BqnlbwVwpaETwm1QLhSZtbQNZQsjeaoqDup%2FfgW4poBuTrj63Q0M7m4TVk1TCCkhJlGw8W90Ly18vVUKd%2Bw74ph%2B%2FQoJkGzCHHKkc2cwyxsz1SnMhYdICknzN4RaoS0Yjv1VUa%2BWmabcnpxyOT8n1XASf3pW4rGhDiKaqpO2sXIG%2BXSoeGH0JIPJQYI7573gJMwPa3ScElk0p1%2BWdR4egJk7t3LDGqUPsbVlHuHLMls6NDd6OoFagv%2BtNc7QiyozsN3Eep4bq0inTEdWvU8YXBd0WyolsqrZuYN58AFtCLrKdSINrOIW1iiJk%2BXOnJJFMge0VU6yWCiHZejKRTEY%2F7TGaQh5QJZImmKGe5r6LhCStoMtvzH4GN7daMp2NdDSaxVcxlWuu%2Bah9aLByHgkVILsqeRaRBHj1e5kpag%2FnJ3%2B9L4cmpVyGB7h%2BhtpRhV1x3MdXpMI6W4ZyE2Yx97%2FMY7A%2FOwR80BXtZJB%2BUvQ3KmROYejTWjJy1bKVy50Z1o7s09I4%2B7evpby7nEZ2ed7KOImGEpUms2vxinS5dBEBzyRZPqAmehJR0T6VgoN8gFDgU3shfjmkJrzFgZ%2FPhSbbD2MsNOZ8xfh70GOJ3RvVjcWKjnkvt8r1EHbD5r6wSuahgFsIoGq8Yc6iUzcC9Q45NzdqXZ7%2BRlHiy4liaDvdah4EZ6zqhKI9WQd3jPV%2BhMw6AxwIkfBClVuk7GuVxcAYVSZaLEPTCVNxunR40LzZL5c9%2FXINxxSjwtkn7EhUKud60p3NtILzk5hUeSeQE6QYMsqmX5t%2FcbedsnOoqQ9S5o9scXhiHuC07aPpXqeWGOojCcBbN6WAYZ19cMS3E%2F%2FN3boApmO0EAWs3t7Wwok7t3s%2Ff2RaW0HzFKk68HWyyxzJQk8h2FIMx98HCrU%2FafEb37SL7ZkYiYPivB6hNnKECB%2B%2BfFfEJUetiR12ItYNnbmk3cAaeX3PIpzZ2jHfadDiIKbkuseUrJx058Fr%2BzjTh95Z%2FMewG0%2B1OxphPncFN1FwL5lSKwMpYHocMQAKa21a%2BvcYYQV1mapEor4d%2B0L2LfcOb8EZoSJyYvXD74kKK1VVNJo0yjoBNEmSxXl3Hn2kj8ZUrm%2BaZJKgvGnr4vNebXX1et3N0ytVLiKIhgfxu17bmZ3OnPyWu1Lj%2FJn4PRmca2pkgby9jZFFo%2FC9ChnxcTMOO2WkGtui42jyJMlJXjabWxEPs6gyjPGU%2BcmOH0iDf5%2Bskw%2F5H%2BooXKeaYp8ZHx%2B%2Byp%2FHY1qJ5qrzfMYMBqiWFn45EiH0xpeeGyplRF29HA7vxwRdBXgFwVt6ktAOGRnUY1Xwzp%2BKH8hKFT8weWlmwXUluqg3yF6ctrMkbU67K529FUGD9WORNOGfY7WFnO%2Fq7UpEDsm1OTA4blPoggxykwTLaM%2BfSQDugR%2B5YQKcFNZLue%2Fc0D2HcOl%2BMnlbJv5s7o6uaz59sRb6eALpYiSe895BWifR98oRwDGSxYNVUEjt0qYldBtyQehB7F%2B1upge2T1REfjNIhlHTJkHLOodqWxIoXnG%2Fi1PuI39ppvi1tuu%2BRxhF84fgt1t95iTG3DXkk2SVklxEIALugu2nQl%2FlvhzHQRjo9tHctEg%2BFro2Lu3CQ6ieui8P6ZU8OOoND6YD%2FGsl%2BA4A6vp89VINmDeVoBgwoGcDbekd%2BEH4h67azkl810eqthw9zDLZ2QkTeZaVDNZt9UjLcGCgQsZ4ANjDZCQ0KkgjAUyPT7HeXIuF3a4L%2BkdNHRYfgWpMAJLDL3NGLCnHArIgW79kDe6DEmOAojoS%2F5XyVcVh%2F9%2FHmXTsYaxUSrHY1u0ovAfUgDhJkHaP1vwtxG4PPOXhNhZwHIE4XKg5Dw3gsldAL2OmPIkGA7wWn9Qd8FZOanozbdPR50OuqrmQipx6dQ8Qjl5%2FQXXRKNH4EZmC34du%2BP8ve%2Bb1n%2B0%2BHmXqE3LtAEUkVBjntjGjstF%2FzVINmO9vBM5hLhUhP0k1Du6%2FolIFvnwKvQbzK67uX8xdJs20iD0Cpjy4CsRwUie8IIZnKzO3Nx%2FxaSM5Lh%2FkBIKByHVjANLYR0r9ENlJLCabM3VyToH2CUGyFxtKy5mGFG4TFPmfGbSybAOaKOm2xRm15ouOqEIgaETRDeTXGvThS%2F92vCimOCIUym6SLs8SXNXxhnsw1vz6IEjB3HFPdbefX04Gv4ywRMH%2FFJyY1Sg6bu6oVAX4TbiP27gR2a1xH25je%2BRW15c4Ug7AVdyG3sOc0xjEImRXDl3ztVoTqQ0GidtWkgYNuwMR06pFO%2BBBR2%2FOVqX7wY5yHYJgDn1YSTfqNF%2Bag2UjWm8CBYhrTbLHI%2FVQtNKPtbktKcVYfLMI2uHL0MbjXcTekC4KAPGkHhQEbENY%2BELTemWkbQkqe4jZWrJ5bMoaOEb3c%2FprG6OBv1uGKb9yRhdES8SWGbrG%2BxkBDqDEO63ovrZ2KlKxQb7CGiDmVuiuVqhs8A%2FvR%2B%2Bar78xa8uRkHxjZY7J80LSy6kpKY3QwOe1%2BAV%2Fm5k0j8KwiJqlUbtKC7uxwMAOPgTovjKrh958w7DVy1wn5SyAP8rZcLIh2bJ2zVX8Ctv%2BmMKjXqO%2Bsh8Sr%2BdbWtDgF2pV4bqVPIRWWgC9Um2VtJTzUz5oluNFyQ0zpqaPKs4CgDA0KxbXMt3weywR2r2ePrV6%2F4bDj90z%2B%2BO08KvNJA6HWD5GQ7d6PS3VAUXJziWf3ijnD68hmc3G%2BG9hheQlZA2BOcJCJa4Xp5XDI7Rbmk1LvX1hKAt%2BwTAdKpIPLjINpKekxuIRdQmK0837SOxtS3iz1bBKsvPSulPxGtMyjC98iB8YtHnP4vQTJwCd7VRZkO7Y7fffmbkJrG4V4s%2FnX2mWaKvgrzXSSNcDWYW%2BVJ55LLqmHp1hwQePaf9v1ZF1FNMujLJqwQ%2Ber0u9V3E0hoim8%2F3b6tmfPHcD6D%2BFtKmigWvROpnaFSZZaZ4dREvwzS5oZ4wIJaCH%2FdQQG4eO37RKhODpOCVhzLFJvSQscFSRYsXEvlhI%2BIuQhmIfCORXZz%2BMJbqfSSYRRWgYZ9Fe6OWSkQRYBrAqMlu1d7k07qk8Qk2hJ5k7Y0i3irWjWnmUJ1g4gaWz9GQXmtcjoCzdTLGnOAMS7XYfUCiAo6Bmg%2FTrSmc0WPOq84MCm7%2BYwYGuWTrh7y0yYnLRZjOfFsP8d9gKPY55Gvk2ywrwsARCH4TnsL6hH0nZlX1NbHFyhrpN2o%2B8Bl4jqRmoc%2BZphrbljXhwIQXeZI5Xu3YjhGT3cEfn%2FocF12MhH%2FaJOgQq7G7lbyci5xfHB7cu6YCgipJ1%2FKzamKTmPNUBF9iG3XhbB9WpBYCqXRBwMcPxJ0KTqSKH5sPOhSM4aIO9pEQGcf6npVXGrB3rbxrri54h6MQrz6A%2Bv6SXnXqSjRmiHLdwI7Qbxawe2MAi4f9RQFVEyhrMNpwpdUqVRlzoJJduXKtzhgvhLksv63aVv9l7Ed6ECxiN50aZE5tODPhzeiJ8gcjj9NrfW5j0xV7fjWwY4UnQ6vyh3%2B5v9CV1gRfP%2B9shR%2BQLpsxlc61xg4nge%2Fe085ZD%2BiM%2BVuoQniZaF3fjE847qLLkqVqgZu0S8kwzMLYRDMJhPzNmCUjIJyx0gXRuBlmhkUKBFwo0ZVS9rno7XColJlxSOhKq%2BOE2lMn9TXKHcWq6jtCIuLv999CNJBXzCr%2B4Y2c%2FiuBjWDpvQMAS6btbA9jCA4dkR5YVCmB45OK5kdv1k0jus%2FgE1tsPlOu6LjcvlpIWvJgBppWjsUbGmkozM06uiWIHjKX327RFbnd7f41ljLU6FwVCSvb7LV5qPd5TOa%2FQwFzNZYgc0n37dJwKMkb1T%2F1senx90Ja9S5MM4xXnga1cPqxKUBw0ol%2Baz7ulDZzGVcWx1poyLwVDOmcwGLAnecMijG8rsm%2BLKD1t1WEeUpfxUsXbqzUslqJOobtA2sfje00u8e%2Batm5AHtem1MaP4XjD5yazxzkgR4%2BW%2Bo0Tos3N31%2F5AIPZr0jXx4Y23xTUmW2C7e0jb5%2BruP4EEkrlYNQAKcCpwXJAosjyHL3RwUXBe12z89uvJT9cSSu2fVPLbwcdjYy8l8aVFuGXjc2Y%2FSJd%2BpZD9xew1OmCjv00M%2F839OymuuLcMjWOmq439pyrPxuk1s68kCATYh7YEB1I02dl7cchD1KkiXeyBWJMZHqwQ4E5rnIYF2NdZ%2BVtlBnjWRvkqWJ3%2BoayPn9wDu7d0RRhpt4WlXMh%2F1nS97%2BEpDFZKVfRaMGgZ4UTLQLxSPqmnkS0TB4IUN5EmGkqkO9fJeNaaa6%2BoP7Zs0%2BXvdiYw5vdl3T%2FZGNBuNleJcb5%2F5sJZ1uKqkeFGMMCQbuPHEB1fCmG%2Bg6C%2BpqK0qDilCn%2BHi%2FxfzFyXdaHd5Ysz8W2JRDqsQy3KKM58rrQS3nOz1TCVp3CPL1Ua4tgPUap7%2BtX3pwr2cCDreduEJe6P9dCaib%2FqkLTc8v12AVq1VQOYB7xgJgkTzaf9Qtfgx8gw5lANz7XKu7c87IDwfS8%2BL2w8UDUTWWzLRCuIhCwa4EaoUSiiMXE7X8Srf3aDF4p6xEn1A3OhpuK%2BMPE1TqpOoKOy45E%2BvItKTTb4Xe%2F6YDiRYNMWhIlS7tkNQ911Bvj%2BpH8DnxPr3SbPBPYU1qqPUdozc9%2F15zAfoIeK7RMINGGIS1E8%2FgARk%2FdfGbDHN2RPdmakz6J8zTELM%2BalzMCAx6lgOfrEp2Q8FFteLN8smm4EPjr%2FdRXp9rasrCEpl0dbqEoBp48bJ3b8dLWhflOHkXkYWftOeKsKRNMXP2tZrCF5M7XAm51CCAnS%2FBaRcS8OavHKy7bVfviEWVTixukKzC2WXzCG5mi1ZNjSLNjxWweSZsC%2BdlwITinzicpSr56WLoU18QuZj3IAo%2FCfVORhyU40biw8jcNgyMJthStgOj3fTN5bRgeE7OCQDOYuZX9jCUvueQKROuStQ6Fsa7KRL9j72SUir7RKQbKgS36HQdiawb2lNyz5elkvqqYKpbgndUz3s7fh%2Ffu9FW6g%2FBcPoBZuCrwMCsUERXqijmK8g9RKdEoy%2FZt617qjvfDdP417FGq5tsH5RFmIEw2QGMU5y3siX5ur5otPbJHZPnZe5X%2FDjQWG5JtgtOBezWCP1Fs9azqsMvypo6o1LYgI0N9OMczhs1sgteylgEvnesckCTHlpuJ7rox4cs2tmt%2FbiK4mcHFqLw%2F9CC3IisX7Epcpwxa7FBPxk1h2SvFtcxGEE7woajzmMZqVSBS5sJKtdPJz81ac7skmoEPjF%2FBw3wsuAD2YZOrGJEZpxdXCVGdCfy3pXLsWgYC3E7m5SG%2FDDxaSl9Gokx%2FDFXC%2BnsbVQLWq5SGNBMH4CgJjWn37cA9EfGaKTVz2ObmitM6yYVTH%2BfMviMDDeuZoj1ED%2BLWi2ZvX5rJ1gmp%2FLTiYkW0ganzGgUdAnq4Z9qxZ0LTmSoyViCvpA%2F8PqU%2F6Qt2ZbPN%2Bh%2Blc%2F5TA9L3Pj6KbiTkYCqjHb9OuD6es%2FnU06kyav7bs%2B%2BfD7TIAwjFRPgMLfEw%2F99%2BPmLs%2BUPluxyniAd2lMxyhsrTpJdk%2F53kosAfqRBOnK0LWB%2B0ME6ysnIb2l0q5Gl5tocRptJJ9hO7Q5upFy9fTqkrh%2FpyIqxaAfue1treBIHHrcXsBi6LINCAQ%2B8c%2F4aKotYjtqB%2FmeCvNuqPvRfCZ0CxFsnVBmXF5dIh5%2FcYUAANw1HYXjIftpvR2esvj1UjfWUShhtTUyblzm9kD%2BqjCGH9XZLQ91zawHoY%2Bpy5cvrONmsv98tZm5Kp5UMUVfan9onuypL0OLlJnESswiYNd2qLdvMvrfw6VFGC1NNS3NlrGGFWT%2F%2Fw6bhxLxMIiw%2Bcc2qW3Lk2ITTaguwVRybQn8V7WC%2FnbdUJ%2BFnLE5M%2BWSR1h13IWvxSKM3sXAFtZxz9JEMkyyPLYdVHL90D%2B3i%2FRxT0i5Y%2BKghFOJOM2UhSP5%2FiTFpUpTfZYNlq93dWGdkNqO2KlcdFjhw4vyOKwDSD0xWlheVJ4zGCfcpiEV1P%2BNdJxB1DzWsj94Afu3oS4I%2BQItCJTviOKfy2sH5PSRIgGgOnCITylU5v%2Fl5xTkwNDc6OEoq5Ri6HuC4ircbiW2qQY%2B28U455Z4pbUa6khlCGWD1sdOEiG8jspnfQWlkguspWZgEWiQ4h2vwa5ZlI9rHxKhnepxY608faO9grvRK9IEFxMvxJfd6%2Brn4RAObdUGhOEu5%2BnhuTcDAxibx7%2FDkNXUxNhtpOomVxZVp%2By4pM2ZGllB8ly1stqygQmtYKA69Z1MtK7DASsCIvs3tugEAnfg0GPYgDOkHaNPomubWxmFSUfKjrByX7t%2FT0AGHxuoxfbMQTyEJVWmt%2BUw4aG4krfiDRPQnKElYS3Kb5YLEuDEILkWkCV%2FkrxLYkj9MuPaLWwOc2RU4INpnhDL9PjbviK%2BqR145%2Bo93HElQHJ6BlkEj63AUicJChy9MKNJjeFpv%2FlxeNYqlMbMQa0Q8lEcqG%2BYtvfQW8s4L8b5NFLGSXJPO5L94OHnfehtC5FrpfE32wvvnEob7OPW9EGPq3DpCYe0uU6WfOeZmdNAhuElWnAaYCMuJjowj%2Bjp8Clpu5R94pf1HYhhwikQvJg%3D%3D&&__EVENTARGUMENT=" + pageNo; conn.getOutputStream().write(body.getBytes()); byte[] buff = new byte[62768]; int count; ByteArrayOutputStream out = new ByteArrayOutputStream(62768); InputStream in = conn.getInputStream(); while((count = in.read(buff)) != -1) { out.write(buff, 0, count); } conn.disconnect(); return out.toString("UTF-8"); } 是不是body有问题： Exception in thread "main" java.io.FileNotFoundException: http://ggzy.jiangxi.gov.cn/jxzbw/EpointSecurityError.aspx?ErrorType=CSRF&ErrorMsg=Cookie%ef%bc%9aNo+CSRF+cookie+supplied.URL%ef%bc%9a%2fjxzbw%2fjyxx%2f002004%2f002004001%2fMoreInfo.aspx%3fCategoryNum%3d002004001 at sun.net.www.protocol.http.HttpURLConnection.getInputStream0(HttpURLConnection.java:1835) at sun.net.www.protocol.http.HttpURLConnection.getInputStream(HttpURLConnection.java:1440) at zfcg.ztb.JxztbActivity.getListData(JxztbActivity.java:127) at zfcg.ztb.JxztbActivity.ListData(JxztbActivity.java:68) at zfcg.ztb.JxztbActivity.main(JxztbActivity.java:30)

nutch配置出现问题，请大神求助: resolve-default: [ivy:resolve] :: Apache Ivy 2.4.0 - 20141213170938 :: http://ant.apache.org/ivy/ :: [ivy:resolve] :: loading settings :: file = D:\WorkSpaces\release-2.2.1\ivy\ivys ettings.xml copy-libs: compile-core: [javac] Compiling 180 source files to D:\WorkSpaces\release-2.2.1\build\clas ses [javac] 错误: 读取D:\WorkSpaces\release-2.2.1\build\lib\commons-io-2.1.jar时出错; error in opening zip file [javac] 警告: [options] 未与 -source 1.6 一起设置引导类路径 [javac] 1 个错误 [javac] 1 个警告 BUILD FAILED D:\WorkSpaces\release-2.2.1\build.xml:101: Compile failed; see the compiler erro r output for details. 这究竟是哪里出问题了呢？

hibernate数据库操作，总是报空指针异常: if (user.getUsername().length() > 0) { String hql = "select * from user where username = : username "; query = ses.createQuery(hql); //这一行总是报错，是不是查不到数据库有东西 query.setParameter("username",username); List User rt = query.list(); if(rt!=null){ req.setAttribute("register_error", "用户已经注册了!"); return "error"; } }

终于明白阿里百度这样的大公司，为什么面试经常拿ThreadLocal考验求职者了: 点击上面↑「爱开发」关注我们每晚10点，捕获技术思考和创业资源洞察什么是ThreadLocalThreadLocal是一个本地线程副本变量工具类，各个线程都拥有一份线程私有的数

程序员必须掌握的核心算法有哪些？: 由于我之前一直强调数据结构以及算法学习的重要性，所以就有一些读者经常问我，数据结构与算法应该要学习到哪个程度呢？，说实话，这个问题我不知道要怎么回答你，主要取决于你想学习到哪些程度，不过针对这个问题，我稍微总结一下我学过的算法知识点，以及我觉得值得学习的算法。这些算法与数据结构的学习大多数是零散的，并没有一本把他们全部覆盖的书籍。下面是我觉得值得学习的一些算法以及数据结构，当然，我也会整理一些看过...

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作为一个程序员，内存和磁盘的这些事情，你不得不知道啊！！！: 截止目前，我已经分享了如下几篇文章：一个程序在计算机中是如何运行的？超级干货！！！作为一个程序员，CPU的这些硬核知识你必须会！作为一个程序员，内存的这些硬核知识你必须懂！这些知识可以说是我们之前都不太重视的基础知识，可能大家在上大学的时候都学习过了，但是嘞，当时由于老师讲解的没那么有趣，又加上这些知识本身就比较枯燥，所以嘞，大家当初几乎等于没学。再说啦，学习这些，也看不出来有什么用啊！

这个世界上人真的分三六九等，你信吗？: 偶然间，在知乎上看到一个问题一时间，勾起了我深深的回忆。以前在厂里打过两次工，做过家教，干过辅导班，做过中介。零下几度的晚上，贴过广告，满脸、满手地长冻疮。再回首那段岁月，虽然苦，但让我学会了坚持和忍耐。让我明白了，在这个世界上，无论环境多么的恶劣，只要心存希望，星星之火，亦可燎原。下文是原回答，希望能对你能有所启发。如果我说，这个世界上人真的分三六九等，

为什么听过很多道理，依然过不好这一生?: 记录学习笔记是一个重要的习惯，不希望学习过的东西成为过眼云烟。做总结的同时也是一次复盘思考的过程。本文是根据阅读得到 App上《万维钢·精英日课》部分文章后所做的一点笔记和思考。学习是一个系统的过程，思维模型的建立需要相对完整的学习和思考过程。以下观点是在碎片化阅读后总结的一点心得总结。

B 站上有哪些很好的学习资源?: 哇说起B站，在小九眼里就是宝藏般的存在，放年假宅在家时一天刷6、7个小时不在话下，更别提今年的跨年晚会，我简直是跪着看完的！！最早大家聚在在B站是为了追番，再后来我在上面刷欧美新歌和漂亮小姐姐的舞蹈视频，最近两年我和周围的朋友们已经把B站当作学习教室了，而且学习成本还免费，真是个励志的好平台ヽ(.◕ฺˇд ˇ◕ฺ;)ﾉ下面我们就来盘点一下B站上优质的学习资源：综合类 Oeasy：综合

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相关热词 c# 数组类型泛型约束 c#的赛狗日程序 c# 传递数组可变参数 c# 生成存储过程 c# list 补集 c#获得所有窗体 c# 当前秒数转成年月日 c#中的枚举 c# 计算校验和连续随机数不重复c#

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