cacti

http://www.cacti.net/downloads/docs/html/index.html

Cacti脚本及模板论坛：http://forums.cacti.net/forum-12.html

一个完整的cacti脚本及模板列表：http://forums.cacti.net/about15067.html

http://blog.sina.com.cn/s/blog_4e424e2101000b6o.html
http://blog.chinaunix.net/uid-20209814-id-1727415.html

http://linux.chinaunix.net/techdoc/net/2009/02/11/1061680.shtml

http://allanfan.blog.51cto.com/520839/401941/

在用cacti snmp监控topsec防火墙时，不能获取防火墙接口列表，最后将改为version 1即可

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" alt="" />

一，数据收集

1、collection methods简介
Data input methods是基本的数据收集工具，其通常是一个外部脚本、简单的SNMP查询或其它任意可以抓取非索引数据的组件。如果想实现对于cacti正在运行的本机进行监控，
使用脚本即可以实现；但如果对于远程主机进行监控，通常要基于SNMP来实现或利用SSH在远程主机运行脚本收集数据来进行。
与Data input methods相反，Data queries则是用于那些可被索引数据的，比如交换机接口流量相关的数据通常是基于索引关联至某特定接口的。因此，Data queries通常用于复杂数据。

2、创建Data input methods
这里说明如果基于SSH，通过在远程主机上运行脚本的方式进行数据收集

二，模板
1、数据模板(Data templates)
数据模板用于描述Cacti将数据存储于RRD文件中的方式，其存储通常使用rrdtool create命令进行。Cacti通常使用rrdtool create命令将数据存储于RRD文件中，这也是cacti存储数据的最基本方式。而数据以何种结构或形式保存于RRD文件中，则需要用数据模板(Data templates)来定义。需要注意的是，一旦使用某数据模板创建了RRD文件后再改用别的数据模板，原有的数据则仍保持为原来的模板定义的格式不变。

2、数据收集方法(Data input methods)
通常，收集某监控对象或资源相关指标数据的方法有多种方式，如基于SNMP协议或自定义脚本等；而数据收集方法则正是用于描述Cacti收集数据并将其存储至“数据源（通常是RRD文件）”文件中的不同方式。事实上，数据模板就是基于“数据收集方法”创建的。

3、数据查询(Data queries) 数据查询是用于收集索引数据的方式，如收集一个路由器设备上的所有接口的流量数据或某操作系统上运行的进程的相关信息等。它通常是一个XML文件，文件中定义了要收集数据的对象(如路由器接口)及针对此对象收集数据的方法。因此，数据查询是一种比“数据收集方法”更复杂的数据收集方式。

4、图像模板(Graph templates)
rrdtool graph命令基于RRD文件进行图像绘制，可以基于时间序列绘制曲线(line)图、面积(area)图等来展示数据走势。图像模板即是关联于某RRD文件上的事先定义好的rrd graph命令，它确定了图形的最终显示。这也意味着，修改图像模板，所有基于此模拟的图形都会随机而改变。

5、主机模板(Host templates) 主机模板即预定义的关联至某特定类型被监制设备的所有图像模板和数据查询，当需要监控此类设备时，直接将主机模板应用至此设备上即可快速实现对其进行监控。

三，监控网络或服务器

1、网络设备

大多数据网络设备都支持SNMP协议，而且支持众多的监控指标，如接口流量、CPU使用率等。因此，现实中此类设备的监控通常通过SNMP协议进行。安全起见，通常需要配置监控设备的SNMP功能的ACL以实现仅将监控信息输出给指定的合法监控端。

2、Linux主机
Linux系统可利用net-snmp等提供对SNMP协议的支持，并可实现通过SNMP输出本机的网络流量数据、系统资源利用率等。因此，对Linux主机的监控也可基于SNMP实现。此外，也可以通过在Linux主机上运行脚本并基于SSH将执行结果收集的数据传递给cacti端的数据收集脚本来实现对Linux主机的监控。

3、Windows主机
对Windows主机的监控可以通过SNMP协议或WMI来实现。WMI为应用程序提供了一个统一的接口，用于输出性能统计数据等，因此，使用WMI监控Windows是一种更便捷的方式。
可以到http://forums.cacti.net/viewtopic.php?f=12&t=30438下载cacti WMI，并基于svn checkout
http://dev.zenoss.org/svn/trunk/wmi/Samba/source获取wmic命令以实现在cacti端与cacti WMI通信。

四、cacti插件
Cacti插件体系能够让程序员在不改变Cacti核心代码的情况下为cacti开发附加功能，并且能够在不影响cacti运行的前提下为其添加安全补丁，而且也能够让终端用户为Cacti添加其需要但cacti核心缺失的功能。

1、插件特性
增强的用户接口
访问Cacti数据库
管理RRD文件
增进的缓存和增强的性能
附加的新功能，如统计报告、日志和阈值监控等

2、常见的插件
MAC Track插件 —— 用于记录设备接口相关的MAC、IP等信息
Network WeatherMap —— 用于在Cacti中创建网络设备间连接关系图，并能在图像中简单展现其性能指标，具体请参照：http://forums.cacti.net/viewtopic.php?t=24433；
Thold —— 阈值监控功能，并可实现“通知”功能；更进一步信息请参见：http://cactiusers.org/；
Cacti自0.8.8版本起已经将Plugin Architechture整合进了Cacti包，不再需要额外安装。

log　　cacti的日志

rra　　*.rrd文件

scripts　　在path_cacti/scripts下面　　pl,sh,php脚本

resource　　xml文件

command line scripts　　在path_cacti/cli下面

[root@localhost cli]# php -q rebuild_poller_cache.php --help

[root@localhost cli]# php -q poller_reindex_hosts.php --help

chown -R apache:apache html/
mysql -u root
mysql> create database cacti;
#创建cacti数据库
mysql> insert into mysql.user(host,user,password) values ('localhost','cacti',password('cacti123'));
#建立用户cacti，密码cacti123
mysql> flush privileges;
#重载mysql授权表
mysql> grant all on cacti.* to cacti@'localhost' identified by 'cacti123';
#把数据库cacti授权于用户cacti
[root@cacti ~]# cd /var/www/html/
[root@cacti html]# mysql -ucacti -pcacti123 cacti<cacti.sql #将cacti数据库导入
vi /var/www/html/include/config.php　　修改下面的值

/* make sure these values refect your actual database/host/user/password */
$database_type = "mysql";
$database_default = "cacti";
$database_hostname = "localhost";
$database_username = "cacti";
$database_password = "cacti123";
$database_port = "3306";
$database_ssl = false;

然后就可以浏览器访问下面的地址

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" 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vzG6WU555a5rGbeRpXa39xFqdmeS1ndzI5EU3Nd43eSdDm2HjXMM/S9lzf7hjS6Awc90Yp5Y4+aJ2gncR+Jow6bzg3496b3vhmOfb4DrljjMxkwS4VmcxS78jc2tNaR3NPKXU9tb+M3NQJjzZb5CjrLWevETU6R9Mw6r/X9ME8pdloI0W6+oQzkPi3lLYsWWj/lESUWNG19xe9unGdfpNE9HqRiIAqIxEBpSUlonBpYtpv9CaeSkpESs2DPcPTrBvH+L25iENKnZn1D+PlcsPKMsVyh3e90UV0RSL3NK5YyxmdXG9t2ea+vfxncm/SrfenZRJRUrcT+7k+6vzheOM/tG5wEePZcu2uxBhLdynV+oGKDeHMrL81p7Et+RNe4CjrLRe/au60JwdDN7nzkT2LdPV5ZiD1P4H86FskEaX8hbwfuQkV8fqQiIAqIxEBpSUmInUz7r2p1d6ZU6Wiicg9tbqHzea7WuRyMscQvXWgSeQMT50asmr9RH92FFysVWscms61Kno6mN9yWifTE9GpIfu2G/31k/PYRJTcz7VRFxjOMghN+/XFv+WXGGPpLpWYzGLvSGx6i054gaOst1wiERmyb7vJnY/sWaSrzzMDG0hEYTfWK+L1IREBVUYiAkpLTkRKTft1fTBXKpKIvluNt93hdze42CayYqBb393ZoLV7OAxD0ZlZ/6PgreDu9IuufZoqNTV2uovLwzLXiLJbTu1k0TUi96TzNGtEWf1cjLrQRE3Nt7p14RjLy+dyxpgykwW7FJVzIFWg2fwVkpQJL3CUR6wReZOuvB+5yZ1PXSNK7urzzMAjElHuf0ppf7SG9geJaEuQiIAqIxEBpaUlonvLRHRmaL9bs2C/78Pu29j5sed8ajQ+OZ5Sy7svPKWU8tyJacRuUDmzjJNZeO/CcUf7NI0+8ti7Ght7WsrpYG7L2Z1Mu4+o3i16H5Fr7zet78tfU89KE/qZMOq84Silggcq7Ou1PxaXZuWMMW0mC3ap+GSq1Gbj07t+F03uhBc5ynrLsXcnyjGkbV8tnmaxr/UmXkqzsfuIcrv6LDMQ+VtK+5NL3T/vP6WUijfj3puWfaGUUt6VYx2EFd0jPfNpk3iJSERAlZGIgNJKJCLljj/pNRF502j3bTNhxWA+PNxtBqHoemq912siIrXGoRG/U+VqbASP3pKa/sGeBf+efTHq/q6J1PT31vBL2j+Q57Wc08mUnJP84K/ks0Dv1NTfiIjWznogRFI/E0edM5xgZixd6uZZwTGmzWThLhWdzILvyP305j1pLSMRpRxlreXVdyfKMURvBy280bvH8/RmVw9d5G/jGWYg+reU8ieX/reX859S+oHOrFbw4MED0+7rwQ1sJKLXiEQEVBmJCChtNREBgFI3c2u/PVy7rwyvBYkIqDISEVAaiQhAYPol/Pqp2rv2YuUKrxKJCKgyEhFQGokIALYMiQioMhIRUBqJCAC2DIkIqDISEVAaiQgAtgyJCKgyEhFQGokIALYMiQioMhIRUBqJCAC2DIkIqDISEVAaiQgAtgyJCKgyEhFQGokIALYMiQioMhIRUBqJCAC2DIkIqDISEVAaiQgAtgyJCKgyEhFQGokIALYMiQioMhIRUBqJCAC2DIkIqDISEVAaiQgAtgyJCKgyEhFQGokIALYMiQioMhIRUBqJCAC2DIkIqDISEVAaiQgAtgyJCKgyEhFQWiwRud906UtQjPNNfZpnc+2BLDqp21eb7k45jiEiIsbps1Z5CZ6w244hhvP4Zl7WEX/FoNwjXT9yH9FAYifTNr66/xi3GYkIqDISEVBaYiJazULRBBIPS+4Pu/ulUeuL9LXdz23zfHn65RixPYOsNbDdlTY7o+vo/sGZVuyIDf3f1ujSW/3ED/ZJPAlz7X2J0Hb3OtaZW+6lNw39vTW68JJqLT3gjDYtJ6x17MAYX2RXeVax/tQah8boolCVRT8fnv1i9KPRL88nReJK2UjzgEM81iIRPfhYxRMRXhYSEVBlJCKgtOKJaH3JyJ20a33RBvb8Rqmf7vhrQ/rSOJ56ShVORKIdjSP7rySioK53Oep9Fuk3jPNoKMpPROG5+IWli8hOEL2KvuRdjXrvRKRhnEYP+vhwkpOIgu2zL7qIyL79mH/ef5yV/riTXl1Ednrjm6JVHjdXrr0frfjrV2xIRAES0WtFIgKqjEQElPbwRHQz7vVF+rp1udwUpJpgS9FEJP1679zLSERKKXVhNfsifXMa71WBRLRyal78JaW+W00ReRs9aNJZ/rVjvdd3d4IVp6793c3cXigRqVND7g8drRL+3Plid/dqItruoT0PU8rUele7X9LZ79rfvegRwyr79vjYNPumdRr2c35imn3TPltbgkuYKM04SztQfBnNOM3oathg+gVd64moNzw12+9qIlrzw2h+P/lT67BRE5E3evdkvtaOY0jPnpit3zSRmh5WdEcfGsEAtN9a1pmnlHI+RZek3KwjLpuOV1Hq2jEPdjUR7beWeRofWolDFBjU6Hswq7p9FftVqeupFXZDb+3V9SO3aFcTNqYlovVZXe6ZNq6EaY+P5bhX+2O8/EOcD3R9sD58FEIiAqqMRASU9vBE9N3Q4inFGx+J9KU1cYslIt066Wp9kc/G9CYzEamp0Rfp180fsV7lJyL31GiIhCeLhV8KD7ojInXzbLllLc/cTI13IqJbF0qpqflORBrmWfr2MmtEjf507aCLmHHiKuUOD0VEWsfxk28vWPtaDVShfXs+6Wkicjh0lVJqar4VkfbwOqs/i0aa1kXGgZLTZkpXyyaiRmfguDdKKXf0QeucBBXn1l7DmASn+FNzT7fi1/U5hjQ6R1NXKaXm9oEWO8N2z0x9Z3keH1vASTxirPFolan5rtELdrseG+8akT+bxP0fM6ha+4vjJv86t/YW3VDe9EszaY0osauJG9MS0XJW3eH7YFajiShn6lanPdr5qfl2+acY/RmlkYiAKiMRAaU96D4i3b5S6tyIJJyQ81WkL/q3oonIvnKHA0360jg2e1mJKG1LkfuIRKTWPp4XfClyIr6+JZ5nvEk3iBnhyeygKSLap2na9sL3EYm8W97glJCIgurhv/1/Ck9ZvYuR9V5v/r6rhU0sTzpFRHqT5T++O8bOIgeeGpqIFvmH+cSxuyfduoh2MHSzDpR11Vysq3myrpq7f1rAmVn/cN/zpKcIrJ7Qn/ZkMYSFub0f/AllXdKW8nyC1SpnZn3fXuYtb9Kt96dZ+z/VoNa78X60rJB81VxiV5P7X+CquXBWo4kod+rSpv1+XcibdGsJf5YoikQEVBmJCCjtSdeI3NEgd41ouJqIlLq09Pus9bRrRHP7QAsXRkq8FDlo3hqRe7Ryw0/464fxPGW7V/Cquetx760kLSulx4zwnqiWdeYujrKSiKJHnPbrIqIPZuM/tNUBxvsT2tnVP9iz4Jq31AP98kR0Gn8QQ14iMoJ3xD21uofNZnjt3xMlokXj97/GB1vsEGUHtd6NyHGTE1FiV5P7XyQRBRXzE1GBaVfqeth+a07V3NpL/LNEUSQioMpIREBpz3Yf0TQ5EX11Im2GeWZ63MhJREFq+lz+PqKrYWtHRKTxyfGKvxQITv3fZd1H9ORrRIvt4a+L09n8RLSazXISUTi0PV0XkT0r6V6N9Xy4eCH1QJtYI/oju8GVit6kK+9H7ner8bY7/O4Gl3U90xqRe9J5+BpRmUGtdcPQEpaYCnQ1uf/5iSic1dxEVGjalVLe+I9a50O3nvxniaJIRECVkYiA0p7tWXPe+EiTvrQn4ZVW4yNN+lpn4kbaXOSZ8CaiZ3nWnDfpaiKLp8YVfqngs+ZW7heaWXuLn9O2l1sjWq+SGjO84O6g363Z/f1R6YlIza29cAmivXYbUkJ/ItIP5I7ei4gs7tXJTkRl7yNKzCfhrS/B35s7MY34WBxDOsNrTymlrh1zT+tNPHVmaL9bs6Cp78Pu2+VdZE3re+4RY52MVpma7+rdrPuICh6iyKDSE9GNY7xr2ReeUsq7Ght7mn7kFutq4sa0RNS2r4JZnVr7Wm/iqdxElDztSe2fmfXVP0v3SH/Qk+4rjUQEVBmJCCjtMYlIqYzvI1LqZmoNatLfbR2ZvUFT62vNr2N3pc37POOddbXM7yMax5NP8WfNec6nhojITsu+yH8p9Kahv18/6LM/a24hrUpGzHDHn/SaiEhN7xvtnESk3OO2SMYDtVMTUfqBlLoYdffCx4kZZ78gESl1PbXeh51pHBqL74+KVtT15XPbFjeMhf1/02j3bTNcrFDeqam/ERGtfRxfVEn7ntPVKjnPmitxiPxBZT3F2zuzwqfAvbeGX8JmC3W1xLPm9HbQw/tZzb1qLnHak9oPL5y7RyJ6ABIRUGUkIqC0AonoUbyrmXM+Hp/P3KyvsnmAjESEfMGtRGtXdm2ZxBN6vGg8dPtJkIiAKiMRAaUlJiLppy4KvQDRFSQS0YPcjLs7y6vythiJ6NXhodtPg0QEVBmJCCgtlogAAK8diQioMhIRUFo0EY2/jSkUyssvGzzVxqtAIgKqjEQElBZLRJvuDoAcJCLkIhEBVUYiAkojEQGvC4kIuUhEQJWRiIDSSETA60IiQi4SEVBlJCKgNBIR8LqQiJCLRARUGYkIKC0tEd3+1W0ee49pOWxBjVpizmKvJW5MrF6IGh2I+SOsd3tXsqMFOgO8HCQi5CIRAVVGIgJKS0lEd9M/69blYxpetPDAvFGqA8tE5Nr/1BbRqDASEV4VEhFykYiAKiMRAaWlJKKZ+eaRIWHRwgPzRqkOLBPRzBQhEWG7kYiQi0QEVBmJCCgtORFdWvU/p3d+LC0sg8fd/Ki9uyMiNf3PsXcXvtg6MO0/m5poH3/EWvg4+qvX3BF5o/dO3JVm1aglXfukp78R2dltH83v1juwbPavlUPcXdrt/9FEaq2jsX0g5g81OpBAGIpuxr39XU1E+5+29eM2HMT6RhIRXhUSEXKRiIAqIxEBpSUmInXS6v61nhYWiejS1P5pu77v+7fOn1rrRC321NonXlIL0vg8u/V9Xzm9f9TNH3eriUhaR+6t7/s3o/ZOeKXcavVFs9Gfb53uTsu+vvV93ztpa7K2RnQ3/bjT+PiX8n3/7mbU3mlYlykbSUR4VUhEyEUiAqqMRASUlpSIbp0PrdGN7/tpiciq7+jmZO5Fn2GgRi1pj5Wf1EJvutjTO25qn+eriWhZa7kGFau+2CHys5q05c9lq3PrH/FEdHfek4OR8leOm7iRRITXhUSEXCQioMpIREBpCYnobtr7hzUPXk6+as5X53Z3f1cTqe13h5d38T1TW/DVSUs+z1YT0Vr7adUjP4ftxDt2n4hWdwh/TdxIIsLrQiJCLhIRUGUkIqC0hET0w6x9vg8pkRUeL/KQa9/3ff/udn7c1oL0Es0V8RY+LvNG0hrRWiKKV09KRCtrRN7wn6wRoSpIRMhFIgKqjEQElLaeiOaDeu98eT3czNypfzy/9X3/9txsiJg//Nu/utrBMLhk7vb8Y31/6PkrcWWlheDmn+PlnUKrt+4kJaK16gmJyL91ujsN88et7/vqr149DEJz6x/yMeU+IvPyLnkjiQivCokIuUhEQJWRiIDS1hKRN/xn17m93+H23Fw8CC54pJvv+7fzo07jjYhou/s958b3/WhcWW0heNbcpLO7I/JGN89XH9iQkIjWqyclIt+/ux52Vp415/v+3XzQ1ESCpzLcXY/WnzWXsJFEhFeFRIRcJCKgykhEQGkp30cE4IUiESEXiQioMhIRUBqJCHhdSETIRSICqoxEBJRGIgJeFxIRcpGIgCojEQGlkYiA14VEhFwkIqDKSERAaSQi4HUhESEXiQioMhIRUFosEVEolJdfNniqjVeBRARUGYkIKC2aiAAAW4BEBFQZiQgojUQEAFuGRARUGYkIKC2WiNxvuvRF+qJ/czf1Wf46OUZfpC/SN5xNdwVAxZGIgCojEQGlrSeiWBZyz812vy2w9EUAACAASURBVCZ9kX6j/XU4uwk32wMxzu/3Gh81W9/mmZ/Rrj0IMsOifHXUla0vfjXO15tNqZiQOpIaz+q/Y/RXDuR+02Vgu/dN6fbV4rUrW195KSi1xpeOdR7LjY5BIgKwaSQioMpIREBp2YnInbS0z73RpaeUUjfu+FjXPptTpVaji+d8bbZOZl7OZ3Ri2lFKOcZ9/EhNREkV8/dJ7392ItKNr7p2NA5HtJqIwlo/PfeH3fmsreZAEhGAzSMRAVVGIgJKy0xEU7NfN7+vvG4PpDNxo9lg/q3V/OpE4pBjJF909+sTUUb/cxKRfekYfd26VEqlJKLApa0vdwvHQiICsGEkIqDKSERAaVmJ6NJq9o3p6gft/JsuX51lNphPOvpguHq13ItJRFn9z0tEV8qdtLXByFWZiUi5o4G0JsvBkogAbB6JCKgyEhFQWlYiOjcWIWFlBzkae8Fiy1ej0a/3zvMul1tUXb3VZ5kcCiWikvcRGU5O//MTkVJT83Pd/J6diJTzNRr/SEQANo9EBFQZiQgo7TFrRNrAnp0bjX7LvlQFvKg1omlCIgofxrBMRMo762oD22WNCMCrQiICqoxEBJSWeR+RYxS7j0j7bDg3uZ/Rv/4+oqz+DwfSi+w/P2lqx9PFPsv+zK0vWu/ESk1EV7bebw+vo0ckEQHYMBIRUGUkIqC0J3rWXEMb2Iu7iV7MfURZ/Q8uk7Om/1FKKe9y2Ok3zB/Lpu4fve2dG/W+piUkIp41B+CFIhEBVUYiAkp7ou8jmtsDrRE+ca5MIkr6PqK1rxUqeh9RYmpK6b9Syp2edIKj1/pt8/6bhVYSUXh0vo8IwOtBIgKqjEQElJabiFAGiQjA5pGIgCojEQGlrSeiYA2EXFSSY6SuXwHAL0UiAqqMRASUFktEAIDXjkQEVBmJCCiNRAQAW4ZEBFQZiQgojUQEAFuGRARUGYkIKI1EBABbhkQEVBmJCCiNRAQAW4ZEBFQZiQgojUQEAFuGRARUGYkIKI1EBABbhkQEVBmJCCiNRAQAW4ZEBFQZiQgojUQEAFuGRARUGYkIKI1EBABbhkQEVBmJCCiNRAQAW4ZEBFQZiQgojUQEAFuGRARUGYkIKI1EBABbhkQEVBmJCCiNRAQAW4ZEBFQZiQgojUQEAFuGRARUGYkIKC2WiNxvuvQlKMb5pj7Ns7n2QBad1O2rTXdnhWOIiIhxuumOlPOE3XYMMZzHN/Oij/jSJM6AY8gv+a/jYtTdq4mIfjRaHLHkO3I1bL1p2RfP1sNn8aum96FIRECVkYiA0hIT0WoWiiaQeFhyf9jdL41aX6Sv7X5um+fuopZjxPYMstbAdlfa7Iyuo/sHJ1KxIzb0f1ujS2/1Ez/YJ/GkxLX3JaLWODRGFysv3Z/6n4ZZwMmpmNG+tntgjC8Wo9hAIirY7YQqi34+oNthlRj9aPT8+SR2wl3k/PtFpabI+/Wm0e477mLjyvyfGrJvu6n7R21wdO7ofb03ifWoVH/c0ftad+Ll74gySERAlZGIgNKKJ6L1JSN30q71RRvY8xulfrrjrw3pS+N46ilVOBGJdjSO7L+SiIK63uWo91mk3zDOo6dN+YkoOL90J726iOz0xjfxl5RKTkRJFVPbn33RRWRx8roRBbudWuVxQS52Kv8Lzs63IRGFM3Y9sw60Rn+am4jW9o/a4Oimxk7i8lTh/pyZ9T1r/sS9AokIqDQSEVDawxPRzbjXF+nr1uVyU5Bqgi1FE5H0671zLyMRKaXUhdXsi/TNyJlg0US0ON3XjLP1l7IS0WrF9PaDFt4GfYtGi/Dnzhe7u1cT0XYP7XmYUqbWu9r9ks5+1/7uRY64qLJvj49Ns29ap2Hamp+YZt+0z9aWy1K7nXig2JqSGKcZXQ0b1I/SEt96IuoNT832u5qI1vwwuj/ZvZ5ah42aiLzRuyfr58COIT17YrZ+00RqeljRHX1oBAPQfmtZZ55SyvkUXZJys464bDpeRalrxzzY1US031rmaXxo3qRX+2O8nOX5QNcH85RaK2f/7pG+mCjHkN7oezCfsb/S1Rk77cm+7RZMRPf7507dsmNp85Mwt/FuH6fMQ8LE6vZV9IiLOcl509W0X28fRxaWpWMddfVgIH1nfmp1wj/IYUa3U9+v1SlaeTsSO3Y9tRbvb/ugvvjrSnt/76c3v+V7idP+9EhEQJWRiIDSHp6IvhtaPKV44yORvrQmbrFEpFsnXa0v8tmY3mQmIjU1+iL9uvkj1qviiahpXay/VCQRBRVT2w/WiBb/bJ+UiE5cpdzhoYhI63jt5PvC0tcCVWjfnk96mogcDl2llJqab0WkPbwuPt60AyWvEaV0tWwianQGjnujlHJHH7TOSVBxbu01jODyquupuaevzapjSKNzNHWVUmpuH2ixk1r3zNR31k64s44YazxaZWq+a/SC3a7HxruGGQ+9U/Ptcp6XPyfWyjhjrrW/rF/hFp8xb9KVg2HxRLTYP23q3OH7YOqip+w587M6t9FuJ85D7NDL4a8notw33bX39cgdRNGBzKzfpfHenl0rpdzxH/XMbhfpZ3RciR2LbFSu028WTkS5LSeL9P/pkYiAKiMRAaU96D4i3b5S6tyIJJyQ81WkL/q3oonIvnKHA0360jg2e1mJKG1LgavmTrp1ES08iYwvjyyXSRKumlupmND+vXcd62x5nhRPREFr4b+mfwrPf7yLkfVeb/6+q610IKzSu7+twjF2JPy351NDE9Ei/xZeYLxpB8q6ai7W1TxZV83dn0GemfUP9z2PnFkmV1SnvbXz/rm9n3jjfto5a3rjZ2Z9317mLW/SrcevQ7tfZ/Am3XD9IblW7hnzuuhVcFNrP4goSX+ZCVfNLfdPH104dUkrNqnzkza3SfOQeui1I+a/6VPzbXe8shp5f3Tn0/3fVV63S/UzpWNnZv39yI1tLJSI8lpOdd//J0ciAqqMRASU9qRrRO5okLtGNFxNREpdWvp91nrKNaLQzq7+wZ7drLxU6MkKKxUT2l+cpI57b0VkuWJQIBEFyzU7LevM9cLdVhJRdK1g2q+LiD6Yjf/QROprqxmZ3U490C9PRKfxBzHkJaJwhcQ9tbqHzWZ47d8TJaL75ZfFr+uDvR6235pTNbf2FnOeXOuBiSig/aZ3j2beYmPukxUi++eOLj8RFZjbpHlIPfTaEfPf9IckoqRul+pnSsdW/wwemIjyh5zS/6dGIgKqjEQElPZs9xFNkxPRVyfSZng2MD1u5CSiIDV9fth9RJkvZV01lya2W/jr4vwpPxG5R9GHMeQkojDV7Om6iCTfg57a7fQDbWKN6I/sBlcqepOuvB+5363G2+7wu+uGT8V4ljUi96SzvkaklDf+o9b50L2/7z+51tTYuT+nL71GlLEx7T6iBElTl5uICs1t0jykHjppjSjnTV+/ai4vESV3u1Q/Uzp2ZmgJyzu572+BlqNS+//ESERAlZGIgNKe7Vlz3vhIk760w+vyg1+1zuIy/ZU8E95E9CzPmst56fGJKFwjCm4YKJSIvODuoN+tmVLuqdHITkRqbu2F/97cXrsNKXu86QdyR+9FRBb36mQnorL3ESXmk/AmnOBvw52YRnwsjiGd4bWnlFLXjrmn9SaeOjO0361Z0NT3Yfdt8Ha79n7T+p57xFgno1Wm5rt6N+s+IqWUUmdmfWXOE2vdP37auxobe9qGElHbvgqmbmrta72Jl3bKHsmoiXOb1O34PMQOnXEfUe6bvv5khbxElNztUv1M6diNY7xr2ReeWnkrc9/fAi2vTGZ6/58UiQioMhIRUNpjEpFSGd9HpNTN1BrUpL/bOjJ7g6bW15pfx+5Km/dnA95ZV8v8PqJx/Lxh84loQdvd69rfS91H5I4/6TURkZreN9o5iUi5x22RjAdqZ4035UD3X6wpohlnvyARKXU9td6HnWkcGqOL2MVfjiG6vnxI1/F8pf9vGu2+bS7+Qd07NfU3IqK1jzOua1qxWiXnWXOLDgcXYkW3JNW6GHV/10Rq+ntr+GVTa0R6O5jb+6nLvWoucW6Tur0+DyuHzkhEuW967OnbRa6aS/6TKNPP1I553632b5qItntg2v3FEXPe30ItR6T3/0mRiIAqIxEBpRVIRI/iXc2c8/H4fOZmfT3OA2Qkom0T3EqUdGXXNsmIEJuR9BDnKnrmeXiyb2h92n7mPRThpSMRAVVGIgJKS0xE0k9dFHoBoitIFUhEN+PuzvKqvC320hJR4kOcK+j55+Fq2HrTsh/75/3E/SQRAXi9SERAabFEBAB47UhEQJWRiIDSSEQAsGVIRECVkYiA0khEALBlSERAlZGIgNIKJKKXdoNHKY6R9tWTL1pab5fDybN4lJx+NCo2A67zqdHY8oc3AFVBIgKqjEQElLbtiWip+Cieb7wZLWd962h591+iUuzogan5buuf3wBUAokIqDISEVAaiegRez5hH542EU2NnfXq+W16k27tj/ETPAgZwEaRiIAqIxEBpa0mIseQnj0xW79pIjX9w2i+2Dg8NdvvaiJaM9yYtrOKtTb6bnf3ahJcuHU9tZZfwXmy2P3aMRcbO4OppxK/B9MxpGMddfXgWH1nfmp19moi2u7hMLM/Kd8aud6NZac/3X/3avj43dxv87yeWosd2gf1Ra34URJaTj1oxpyHo5gfB7Oh7e51rDMvpTXdvio1A46x0035HlgArwaJCKgyEhFQ2loianSOpq5SSs3tA00fzMONA8e9UUq5ow9a58RN31mttlZrf3EW5/5za69hTMK0YO4FF2jNrT2tdTT3lFLXU/vLyFVT812jFxziemy8a5hnsWPNrN+l8d6eXSul3PEf9cz+rOeBxG7Euh1dS0nsT5Rr7y92uHGdflM/clOOUmqNKG3ODUcpdWHp+9b8RinluaeWeZxxgVypGXBH7+trAwTwypCIgCojEQGlrSWiyHn5aU8Ohu7qxsgXFybuHLW6w5lZ/3B/RVbYzplZf2uu3M5/Ztb37WW08ibden8aa8r5JMZpwf6s5YHEbmR3O6E/qx1+P1o2cT+uhKM88Kq5hDGemfV3vdFF2gVumYkocwaicwvglSIRAVVGIgJKy0xEhuzbhRNRsHPU2g6r9CM3oVZsy6khn5wHJaJY5xc/JHYju9sJ/VntcGRL2J/kozxdIlLebHENYePQdK4zWis3AyQiYAuQiIAqIxEBpWUkIm/SlfejgolosbNKa02dmfU/1uJA3hqRe9J52BrRWucjKyTr3cjudkJ/oh02tD/WElHyUZ4wEd0fcPpF1z7Fnpqdt0aUOgPe+ANXzQGvHokIqDISEVDaWiLqDK89pZS6dsw9rTfxMs/O13dWq60l3JDjKaWU505M49hVamq+W7+PqN5NuI+oSCLK6Pzyh8RuRLn2ftP6Hu32en8ibsa9Ny37QimlvCvHOtD0IzflKLGWMw6ae9WcZZzMgk3ucadcIsqagfsnK7hHumzDMwaBKiIRAVVGIgJKW0tEur58CtnxfLEx7ex8fWe12trqKfX11Hqv10REao1DI7wNZvEkt7xnzRVJRBmdX33S2no3IrxTU38jIlr7uNCz5rwzqxU89u3AtPt6N0iGSUeJt5x60LxEdDU2gpFKTf9gz+JPh8tORKkzEH36NokIeL1IRECVkYiA0rLuI8rx0r6n6AX052Zu7beH8bt6Xgu+oRXYEiQioMpIREBpJKLHm34Jlmuk9q6d/IVFr4DrfGo0YrdIAXidSERAlZGIgNJWExEA4NUjEQFVRiICSosmovG3MYVCefllg6faeBVIRECVkYiA0mKJaNPdAZCDRIRcJCKgykhEQGkkIuB1IREhF4kIqDISEVAaiQh4XUhEyEUiAqqMRASURiICXhcSEXKRiIAqIxEBpaUlotu/us1j7zEthy2oUUvMWey1xI2J1RMVqA5sKxIRcpGIgCojEQGlpSSiu+mfdevyMQ0vWnhgesnsAIkIFUYiQi4SEVBlJCKgtJRENDPfPDJyLFp4YHrJ7ACJCBVGIkIuEhFQZSQioLTkRHRp1f+c3vmx7KFGB2L+8H3/bn7U3t0RkZr+59i7C19sHZj2n01NtI8/Yi18HP3Va+6IvNF7J+5Ks2rUkq590tPfiOzsto/mdwkdiFSfeH5k40qtxD2BrUMiQi4SEVBlJCKgtMREpE5a3b9ufT8lEV2a2j9t1/d9/9b5U2udqMWeWvvES2pBGp9nt77vK6f3j7r54241EUnryL31ff9m1N4Jr5SLVa//6ah49bVaiXsCW4dEhFwkIqDKSERAaUmJ6Nb50Brd+L6flois+o5uTuZeNHGoUUvaY+UntdCbLvb0jpva5/lqIlrWWq5Bxaovfl6pvlYrcU9g65CIkItEBFQZiQgoLSER3U17/7DCMJF81Zyvzu3u/q4mUtvvDi/v4numtuCrk5Z8nq0morX2i1eP1krcE9g6JCLkIhEBVUYiAkpLSEQ/zNrn+7gRWeHxlokodHc7P25rQXqJBpJ4Cx+X0SRpjWgt28SrJ64RJSYi1oiw/UhEyEUiAqqMRASUtp6I5oN673x5PdzM3Kl/PL/1ff/23GyImD/827+62sEwuGTu9vxjfX/o+SvZZqWF4P6i4+U9P42VR3InZZu16tHbkBprT/SOJqK1PYGtQyJCLhIRUGUkIqC0tUTkDf/ZdW7vd7g9NxePdBvbi/t85kedxhsR0Xb3e86N7/vRlLLaQvAIuElnd0fkjW6erz6wISHbrFfv2sed3R3R/qdt/Uh/3kPinsDWIREhF4kIqDISEVBayvcRvRjFv3qILylCNZCIkItEBFQZiQgojUQEvC4kIuQiEQFVRiICSiMRAa8LiQi5SERAlZGIgNJeeiICsIpEhFwkIqDKSERAaSQi4HUhESEXiQioMhIRUFosEVEolJdfNniqjVeBRARUGYkIKC2aiAAAW4BEBFQZiQgojUQEAFuGRARUGYkIKC2WiNxvuvRF+qJ/czf1Wf46OUZfpC/SN5xNdwVAxZGIgCojEQGlrSeiWBZyz812vyZ9kX6j/XU4uwk32wMxzu/3Gh81W9/mmZ/Rrj0IMsOifHXUla0vfjXO15tNqZiQOpIaz+q/Y/RXDuR+02Vgu/dN6fbV4rUrW195KSi1xpeOdR7LjY5BIgKwaSQioMpIREBp2YnInbS0z73RpaeUUjfu+FjXPptTpVaji+d8bbZOZl7OZ3Ri2lFKOcZ9/EhNREkV8/dJ7392ItKNr7p2NA5HtJqIwlo/PfeH3fmsreZAEhGAzSMRAVVGIgJKy0xEU7NfN7+vvG4PpDNxo9lg/q3V/OpE4pBjJF909+sTUUb/cxKRfekYfd26VEqlJKLApa0vdwvHQiICsGEkIqDKSERAaVmJ6NJq9o3p6gft/JsuX51lNphPOvpguHq13ItJRFn9z0tEV8qdtLXByFWZiUi5o4G0JsvBkogAbB6JCKgyEhFQWlYiOjcWIWFlBzkae8Fiy1ej0a/3zvMul1tUXb3VZ5kcCiWikvcRGU5O//MTkVJT83Pd/J6diJTzNRr/SEQANo9EBFQZiQgo7TFrRNrAnp0bjX7LvlQFvKg1omlCIgofxrBMRMo762oD22WNCMCrQiICqoxEBJSWeR+RYxS7j0j7bDg3uZ/Rv/4+oqz+DwfSi+w/P2lqx9PFPsv+zK0vWu/ESk1EV7bebw+vo0ckEQHYMBIRUGUkIqC0J3rWXEMb2Iu7iV7MfURZ/Q8uk7Om/1FKKe9y2Ok3zB/Lpu4fve2dG/W+piUkIp41B+CFIhEBVUYiAkp7ou8jmtsDrRE+ca5MIkr6PqK1rxUqeh9RYmpK6b9Syp2edIKj1/pt8/6bhVYSUXh0vo8IwOtBIgKqjEQElJabiFAGiQjA5pGIgCojEQGlrSeiYA2EXFSSY6SuXwHAL0UiAqqMRASUFktEAIDXjkQEVBmJCCiNRAQAW4ZEBFQZiQgojUQEAFuGRARUGYkIKI1EBABbhkQEVBmJCCiNRAQAW4ZEBFQZiQgojUQEAFuGRARUGYkIKI1EBABbhkQEVBmJCCiNRAQAW4ZEBFQZiQgojUQEAFuGRARUGYkIKI1EBABbhkQEVBmJCCiNRAQAW4ZEBFQZiQgojUQEAFuGRARUGYkIKI1EBABbhkQEVBmJCCiNRAQAW4ZEBFQZiQgojUQEAFuGRARUGYkIKC2WiNxvuvQlKMb5pj7Ns7n2QBad1O2rTXfnURxDRESM09jPj2zqFXnCbjuGGM7jm3nRR9xKy2nMnc/EHRxDXvv/Dzw9EhFQZSQioLTERLSahaIJJB6W3B9290uj1hfpa7uf2+a5u6jlGLE9g6w1sN2VNjuj6+j+welO7IgN/d/W6NJb/cQP9nntZ0JlE5Fr70uEtntgjC/Wm/plYv2pNQ6N0UWhKot+PqDbYZUY/Wj0/PkkdkZeJBGRmnI9MhEhAYkIqDISEVBa8US0vmTkTtq1vmgDe36j1E93/LUhfWkcTz2lCici0Y7Gkf1XElFQ17sc9T6L9BvGeTQUVToRBfvMvugiIvu2m1Hjea30x5306iKy0xvfFK3yuCDn2vvRir/gdJlE9BxIRE+PRARUGYkIKO3hiehm3OuL9HXrcrkpSDXBlqKJSPr13rmXkYiUUurCavZF+uY03qvkROSeWZ29XS1YO3jT6J64yzPvzhe7u1cT0XYP7fnNotsrL9X0D6P5zXz4Qa+JaL93R6uLMPr7rv5GRLTmh9FcqWm/LiLyYewppa5HHRHZCUcxei8imnGqlJpa72r3Cyn7Xfu7F21zLRHNrT0R0VrHsbCzGidODRGRt8G0JDSVNNicnoRV9u3xsWn2Tes07MD8xDT7pn22tlKXEG804yztQLE1JTFOM7oaNqgfpSW+9UTUG56a7Xe15bsTup5ah42aiLzRuyfztXYcQ3r2xGz9poXvfvD2fWgEA9B+a1lnnlLK+RRdknKzjrhsOl5FqWvHPNjVRLTfWuZpfGjepFf7Y7yc5flA1wfzlFor8cA90hcT5RjSG30P5jP+H8j8uKv/polou3sd68xLH4JjSMc6Cnau6X1nfmp1wjdoGNknPm/epKt9mi7GrjWDzivX3tfti+RZTU5E147xrmGcxv7eEt+paPXEsaQdNDJLxynT/mqRiIAqIxEBpT08EX03tHhK8cZHIn1pTdxiiUi3TrpaX+SzMb3JTERqavRF+nXzR6xXSYnowtJF5G1vfB3dujjzPnGVcoeHIiKLvBF9KYgi0uw7rlLzgX6fdlZbGH3QREQfzNWpoS1iiTfpiohI3TxTSjnGjoh0YwsmXti91BhjnKppvyEijU9O7HwwcY2o0Z+qlKaSBpvTk9C+PZ/0NBE5HLpKKTU134pIe3gdayMxETWti4wDJa8RpXS1bCJqdAaOe6OCN6hzElScW3sNYxKkkam5p1vx6/ocQxqdo6mrlFJz+0CLnQ27Z6a+k7iIkXbEWOPRKlPzXaMX7HY9Nt41zLPY/lPz7XKelz8n1spIRLX2Fydh1i4sfd+a3yilPPfUMo/d9CFE52Rm/S6N9/bsWinljv+oJ+2zmLfrUed3ax50fq9eDxYwb8bdt9H/o0ib1cUPN4lxKHZEd/g+eKei1XPejtWDRmcpcdpfMRIRUGUkIqC0B91HpNtXSp0bkYQTcr6K9EX/VjQR2VfucKBJXxrHZi8rEaVtSUpEZ4YmIjt672g0vXAXZ1UrV2eF/3L/yUl7KTy5DBZhwsvSVnZzTzoiIgdDN0w+un2hnE+a7Om6SHMwVxdWU0Tej4L58S5G1nu9+fti5er+HG4txnwyGiLyLn4GGY56dY1F3nWss5Vct34B3upgc3rSmyxPQxfjulJB6tMi/4ge689iTrp1Ee1gmDnkrKvmYl3Nk3XV3H1CODPrH+57HkkOyRXVaU8WQ1iY2/vBX1rWVXNJLa9VOTPr+/Yyb3mTbr0ff5+XCxTepBsuXCTXykhEKZeWnZn1d73RRfRtLNSI8+l+nlMPFM7b3Pq9NbxS6szU+8Nw3lbfguVA12bVMcRwbhzj92ZSHEo7YvJFdylvR9pbmTTtrxmJCKgyEhFQ2pOuEbmjQe4a0XA1ESl1aen3Wesp1oiUOx109N8W5+E7TTO8OugpE1HkJW/8IVjlGJtvpTlwRu9F9u3pceu+nWCRZKdlnble2E5qIgol3x20Gieux723IrJcMSiQiAr1ZDHp/bqI6IPZ+A9tsfCV3J/FVO/qH+xZsCaWeqBfnohO4w9iyEtERjD57qnVPWw2w2v/nigRLRq//3V9sNfD9ltzqubW3mLOk2uVT0TKmy0uhGscms51xhAekIjCTk4/ad2JNx/oxqlyj/T2sese6cvlmsxZdQzRWweaROJfgcnMT0QF3sqkaX/NSERAlZGIgNKe7T6iaXIi+upE2gzzzPS4kZOIgtT0ueh9RAve9EtzcYb91GtExy2RcAkoWC/SDlq6aMaZco90EV3fX557BVti7aQmIv1oHNxElHQJVixOhL8u7mnJT0TFerIQpJo9XReRPSvpJDXWn8gLqQfaxBrRH9kNrlT0Jl15P3K/W4233eF3N7gE65nWiNyTzvoakVLe+I9a50O3vpzz5FpTY+f+msxiiWjJnX7RtU9FF5qKJKJw3sIlLNvaMxyl1IWlv7ftD4sLKXNm1TFEt767s0ErcrdSVOIR8xJRobdSJUz7a0YiAqqMRASU9mzPmvPGR5r0pT0JL6EaH2nS1zrhr6t5JryJ6MmfNRfe7dP4MnvqRDS39kVEC68xu7L1cPmhO75R4fVyIhLeUKG84J6c362ZUu6p0chMRMap8s6MhojsxO9BSlkjCm6MKZSIivVkKbyrSkTaa7chJfQnIv1AwQMnZHGvTnYiKnsfUeLJfXgTTvBn6U5MIz4Wx5DO8NpTSqlrx9zTehNPnRna79YsaOr7sPs2+Etz7f2m9T33Oj+/QAAAIABJREFUiLFORqtMzXf1btZ9REoppc7M+sqcJ9ZyR+/rvYmrlPKuxsaeVuCqOcs4mYX/BR53niIRrc2bUupq2NrRFheeza3f6/V3Rhj7kmd1PdJ4zqdG0n10jiFt+yo44tTaD46Yl4hyDpox7UGwf5VPtyMRAVVGIgJKe0wiUirj+4iUuplag5r0d1tHZm/Q1Ppa8+vYXWnzPs94Z10t8/uIxvHkk5qI3JNuc3HJnPab3glvnn6yRNTY03d3RN7o3aPZ4oxtkRzCu4aC5xBI5J//3fEnvSYiUtP7RjsvESnljT9oIlL/I3ZSuPZ9RHtd+3up+4iK9CRyvOO2SMYDtVMTUfqBlLoYdffCR38ZZ78gESl1PbXeh51pHBqrN9IEFXV9+TC64/lK/9802n3bDBcWlHdqBk8abIePJchNRLEqOc+aW3Q4uIIruiWp1sWo+7smUtPfW8MvBdaIrsZGMEypLa5vfGQiWp83pdTc+l26ixvS5oOm3N9ElDiriZFmPjzcbcZDkWOI3g7eyvsj5l41l33QrGknEQF4jUhEQGkFEtGjeFcz53w8Pp+5Wd9R8wC//vuIkjPDdgtuJUq6smubFLnM7Jd6JU9/fnHz9kivZNoLIREBVUYiAkpLTETST10UegGiK0gkoud0M+7uyOKqvC320s7sX8vTn1/avD3Sa5n2QkhEQJWRiIDSYokIAPDakYiAKiMRAaVFE9H425hCobz8ssFTbbwKJCKgykhEQGmxRLTp7gDIQSJCLhIRUGUkIqA0EhHwupCIkItEBFQZiQgojUQEvC4kIuQiEQFVRiICSiMRAa8LiQi5SERAlZGIgNLSEtHtX93msfeYlsMW1Kgl5iz2WuLGxOov0LLzBUYBPDkSEXKRiIAqIxEBpaUkorvpn3Xr8jENL1p4YGx4fAeeDYkIG0UiQi4SEVBlJCKgtJRENDPfPPJcf9HCA2PD4zvwbEhE2CgSEXKRiIAqIxEBpSUnokur/uf0zo+d9KvRgZg/fN+/mx+1d3dEpKb/OfbuwhdbB6b9Z1MT7eOPWAsfR3/1mjsib/TeibvSrBq1pGuf9PQ3Iju77aP5XawDacdar7U4kP5G5I3e+8vzIj/76z2ZeL5/63xoDm983/f9u2lPpHceHMAb/rPr3Pq+79/+sDr/X01EZGdX/9Px4p0PJud2+r+NxufZ7TO9SUAEiQi5SERAlZGIgNISE5E6aXX/uvX9lER0aWr/tF3f9/1b50+tdaIWe2rtEy+pBQnTgnJ6/6ibP+5WQ4W0jtxb3/dvRu2d8Eq5++qpx1qrFdl4e/6xvqO1j7278GdzvqhV/9NRkZ7c/tUN27y06iL1wdz3ff9m2Pzg3Pq+fzvu7LRHN77v+3c3w5Zo5uV6IrqdfSYO4dchESEXiQioMhIRUFpSIrp1PrSCGJCSiKz6jm5O5uGKjb/csz1WflILveliT++4qX2er4aKZa3lGlSkev6xFrWiG9WoJeEiz+qxFs0ue3I77hyMlO97x83u8bD7z6Hn++qk1ZmsBxwvcqD7BS7zc0M+jIlD+GVIRMhFIgKqjEQElJaQiO6mvX9Y8+Dl5KvmfHVud/d3NZHafnd4eRffM7UFX5205PMs5VacRfvR6rnHWklEi42JPyf2xL8dv+86t0EG80YHXedWjQ46y4hzp2ajI8v6s9P8564m64lIGh967Z37oAU8NxIRcpGIgCojEQGlJSSiH2bt833ciKzweMtEFLq7nR+3tSC9RPNGvIWPyxyStEa0lm2i1XOPVS4Rra0R+f7tpNObjIMMNh/UeyejYNXI933/0mrs6OZkOrtWt3eJa0QfZ77vnbS0w8WSFfDMSETIRSICqoxEBJS2nojmg/riAQO+78/MnfrH81vf92/PzYaI+cO//aurHQyDy9huzz/W94crzxuItRDcX3S8vOenYSXcirPY9UDMHyvVc49VMhFF72hqhE/3VqP2/9eo/+/M9/278179H/XwziLfV5O2HAw93/f92/lxWwsevZDQeW+4r4U3PgHPjESEXCQioMpIREBpa4no/jFrgdtzc/FIt7G9uM9nftRpvBERbXe/59z4vr8aD6ItBE94m3R2d0Te6Ob56gMbErJNrAPZx/JLJqKufdzZ3RHtf9rWj0gXDyTMM7dOV/Tw6XO+79/N7cNdTYKn5M3H/6utfOds5Ch3l2Zj5/52KeD5kIiQi0QEVBmJCCgt5fuIthFfH4StQCJCLhIRUGUkIqA0EhHwupCIkItEBFQZiQgojUQEvC4kIuQiEQFVRiICSqtQIgK2AokIuUhEQJWRiIDSSETA60IiQi4SEVBlJCKgtFgiolAoL79s8FQbrwKJCKgyEhFQWjQRAQC2AIkIqDISEVAaiQgAtgyJCKgyEhFQWiwRud906Yv0Rf/mbuqz/HVyjL5IX6RvOJvuCoCKIxEBVUYiAkpbT0SxLOSem+1+Tfoi/Ub763B2E262B2Kc3+81Pmq2vs0zP6NdexBkhkX56qgrW1/8apyvN5tSMSF1JDWe1X/H6K8cyP2my8B275vS7avFa1e2vvJSUGqNLx3rPJYbHYNEBGDTSERAlZGIgNKyE5E7aWmfe6NLTymlbtzxsa59NqdKrUYXz/nabJ3MvJzP6MS0o5RyjPv4kZqIkirm75Pe/+xEpBtfde1oHI5oNRGFtX567g+781lbzYEkIgCbRyICqoxEBJSWmYimZr9ufl953R5IZ+JGs8H8W6v51YnEIcdIvuju1yeijP7nJCL70jH6unWplEpJRIFLW1/uFo6FRARgw0hEQJWRiIDSshLRpdXsG9PVD9r5N12+OstsMJ909MFw9Wq5F5OIsvqfl4iulDtpa4ORqzITkXJHA2lNloMlEQHYPBIRUGUkIqC0rER0bixCwsoOcjT2gsWWr0ajX++d510ut6i6eqvPMjkUSkQl7yMynJz+5ycipabm57r5PTsRKedrNP6RiABsHokIqDISEVDaY9aItIE9Ozca/ZZ9qQp4UWtE04REFD6MYZmIlHfW1Qa2yxoRgFeFRARUGYkIKC3zPiLHKHYfkfbZcG5yP6N//X1EWf0fDqQX2X9+0tSOp4t9lv2ZW1+03omVmoiubL3fHl5Hj0giArBhJCKgykhEQGlP9Ky5hjawF3cTvZj7iLL6H1wmZ03/o5RS3uWw02+YP5ZN3T962zs36n1NS0hEPGsOwAtFIgKqjEQElPZE30c0twdaI3ziXJlElPR9RGtfK1T0PqLE1JTSf6WUOz3pBEev9dvm/TcLrSSi8Oh8HxGA14NEBFQZiQgoLTcRoQwSEYDNIxEBVUYiAkpbT0TBGgi5qCTHSF2/AoBfikQEVBmJCCgtlogAAK8diQioMhIRUBqJCAC2DIkIqDISEVAaiQgAtgyJCKgyEhFQGokIALYMiQioMhIRUBqJCAC2DIkIqDISEVAaiQgAtgyJCKgyEhFQGokIALYMiQioMhIRUBqJCAC2DIkIqDISEVAaiQgAtgyJCKgyEhFQGokIALYMiQioMhIRUBqJCAC2DIkIqDISEVAaiQgAtgyJCKgyEhFQGokIALYMiQioMhIRUBqJCAC2DIkIqDISEVAaiQgAtgyJCKgyEhFQWiwRud906UtQjPNNfZpnc+2BLDqp21eb7s4v4hgiImKcbroj5Txhtx1DDOfxzbzoI1ZE4sQ6hlTnP+dnRyICqoxEBJSWmIhWs1A0gcTDkvvD7n5p1PoifW33c9s8dxe1HCO2Z5C1Bra70mZndB3dPzhPih2xof/bGl16q5/4wT6v8RTKtffTQkL40oK2e2CML4KXNpKIYv2pNQ6N0UWhKot+PqDbYZUY/Wj0/PkkdqZeJBGRmtJkzAyT9uxIRECVkYiA0oonovUlI3fSrvVFG9jzG6V+uuOvDelL43jqKVU4EYl2NI7sv5KIgrre5aj3WaTfMM6joWibE1Hw0uyLLiKyb7vrO/4iK/1xJ726iOz0xjdFqzwuyLn2frTiLziNJhE9IRLRJpGIgCojEQGlPTwR3Yx7fZG+bl0uNwWpJthSNBFJv9479zISkVJKXVjNvkjfnMZ7lZyI3DOrs7erBYsLbxrdE3d5at75Ynf3aiLa7qE9v1l0e+Wlmv5hNL+ZDz/oNRHt9+5odZVGf9/V34iI1vwwmiullPK+BxWlttfS3wYLGq5SSl3P7A/67o6ISG2vY515a6susaiwGidODRGRt8Goo9EiYyxT613tfklnv2t/9xLGuG+Pj02zb1qnYdqan5hm37TP1hbiEuKNZpylHWh9dBldDRsM5yrpbVxLRL3hqdl+V4tOvlJKXU+tw0ZNRN7o3ZP5WjuOIT17YrZ+08I3Vyml3NGHRjAA7beWdeYppZxP0SUpN+uIy6bjVZS6dsyDXU1E+61lnsaH5k16tT/Gy1meD3R9ME+ptRIb3CN9MVGOIb1R+CcX//ufH3f13zQRbTf8e0sbgmNIxzoKdq7pfWd+anXCN2gY2Wd93pS6nlqLrrYP6otRx9+ChJnJeUeW403rc8JbFp+N45TprR4SEVBlJCKgtIcnou+GFk8p3vhIpC+tiVssEenWSVfri3w2pjeZiUhNjb5Iv27+iPUqKRFdWLqIvO2Nr6NbF6fmJ65S7vBQRKR17K69NLf2RESafcdVaj7QRUQ+LFaxIi2MPmgiog/m6mbc2xGRhnHqKjW39pengFPznYjo1oVS16PujshOcIlguTWiRn8a7eRKIkoYS+TNCOdhJVCF9u35pKeJyOHQVUqpqflWRNrD61gbiYmoaV1kHCh5jSilq2UTUaMzcNwbFcx/5ySoOLf2GsYkPC8393Qrfl2fY0ijczR1lVJqbh9osbNk98zUd5bn4rE1osQjxhqPVpma7xq9YLfrsfGuYZ7F9p+ab5fzvPw5sVZGIqq1vzgJs3Zh6fvW/EYp5bmnlnnspg8hOicz63dpvLdn10opd/xHPWmf5by59v6iqzeu02/qR27KW5C9RrRs2R2+D1qOJqKcaV99y6KzkTi9VUQiAqqMRASU9qD7iHT7SqlzI5JwQs5Xkb7o34omIvvKHQ406Uvj/2fv3lkb1/q+j/9fwipcuEgxgasYwy4iuIox7CaCNIY0hjSGVCLFIKYa7iKoEyLFIFw8CBfBuLOLAbsIaAqD3AScIqAUAaW4QS7uYpUuU+opdLAk62AlmZz0+5BixrGWlmXvPfpGh4w0uaiI8h7JKqK5woioIcqDsXXrhD8wTpy+FfwA+9zM+1aw9+kfpQnOW0s8zZn0iIiOh/ZMChrDn1VYRK7/+PHQiT3uh8HO1xERHfT0ubM1yYLXwt3bsX4qtr+Fh8g2e5lERPIs+gG6qTQoOMhwpTAiFvvhemo+4UuWWkQseEV5Kyo6ay411TJFZ81tCmGutc42M4+VQ/aC/EoO35SIbRz5H6Sis+ayRt5aZK61gk8C55y7M6mlWqkFogMX7kwKDmhkL1VQRDmlMddaB/L4Nv427jSIeb7Zzrkr8rfbXGudjp3UgNlvwc5nzQXvSLyISjd73luWtXlrCUUEUGcoIoDKXvQYkTPulx4jGiaLiPM7Xdy01kscI+KO1e+JX8Id9UZbC04feskiir5lDeJX+2yKyPEfTxIHOxVR8K2HqfyViKIjBjsUkX+4ptHR544bPC1RRPGVWmqLiMT+cvqdEbW2jmbwdKE19sUzY+mf85a7olcvoqv0jRjKikjx3yznSpdO2u3g3L8XKqJw8M1ft1/sw7D7VbO4rR+G2zx7qepFxN1leCKccKKZDwUv4QlFpNCR4SRfUfDk7Ldg9yLyX355Ee3wlmVt3lpCEQHUGYoIoLK/dh2RlV1El2ZszKBnrJFQUkR+NV3seh1RyLV+tcNd8Jc+RjTqEBGdjm3/YNFWEbmJY0fJ7bljEcVG27GInESelRRRUDWHokhEh3rW9Ra5U81f0VscI/pePGBiQXcm0enYudaFr9Lw2vFPzfpLx4icSW/7GBHn7vR7s3cmtaJtnr2UpTSk6CYWuxVRxLF+iex81wNNuxRRsN3mCvu+VUTZb8GuRRSMXFpEO71lPGPz1hKKCKDOUEQAlf21e8250wEjlbqz4Byr6YCRynrBX5M9E1xE9OL3mguu9hF+LV+6iPzrhZg8c/nDsOv/xPqW85WlfwsXX1nKARGFF11wxxr09CvOuTM+JfKvQdqacNYxouiqjPIicv2rg77pS86dK0UoLqLwoiki6m5dhpQxn5j8FaVeXXERVb2OKHPnPrgIx//UOTNNSb8WU6He8MHlnPMHUztk8szlc4V905f+UNdD6av/QXKMo7Z+XbrG1CTji1jaQUsquo6Ic875XGsltnnmUs74tCXPHM65ez9VDtkOZ83pymQZfNpGvZcooq3ttprKex3jlnPO3XtTP2bhJXPbb0Fqy8SZCnWNe39kSz9i8szlpUWU/ZZlbY305vUDvl53t0MRAdQZigigsucUEecFv4+I85Wl95uk7ncGmtxvM5W1L6dOYsxNz7hziRX+PqJpunxyi8iZSO3wlDn2RewFV12/WBEJh+J+g2hPlAZLP9GcK/+uWWz/WOp9IyKSg6RZDs+7wp4/l6Zw1Bv6F/3fjv1704X3bYu9qNTvIzqUjOtK1xE503OxSUTUFFWlW1JE3Bl1iQpuqF10OCtnRalX9wpFxPmDpZ8GkxFOlOSFNP6CohjdCW1kJ+a/J3RVQwsOOHD3SvNvJNgdpc/7yimi1CIl95oLJ+yf2RV/JGup27H0jRE1xVN9+GuHY0T3U8V/mdQMz298ZhFtbzfuzvXw064ZqijNwrDZegvSW2bDVEjs+s/fjFx61lzmW5a1NbY2L4oIAGoFRQRQ2Q5F9Czu/dJcTKeLpVP0S2ye4PV/H1F2VCTcD3ube8p9AP6lRFlndn0mu5xm9qo+yF2hy7bbytaP3uPN3D7I5v27UEQAdYYiAqgss4hIzT0o9A7EjyC9hyJyhifhXRyoKZwow+sPcoOr1VRqUHhW3if23oroo9wVOnu7Wb+CXwrUPOjmHgR7Sx9l8/5dKCKAOkMRAVSWKiIAAPjoUEQAdYYiAqgsXkTT31N84Qtf7//rDXe14UNAEQHUGYoIoLJUEb31dACgBIoISqGIAOoMRQRQGYoI4GNBEUEpFBFAnaGIACpDEQF8LCgiKIUiAqgzFBFAZSgigI8FRQSlUEQAdYYiAqgsr4jWf6T2yH3OyMEIfNwhbZn6XuaDmYu/L+v141tPAWoPRQSlUEQAdYYiAqgsp4gerR8t/e45A4cj7BA/RYu/I47xL9Nu3noWUHsoIiiFIgKoMxQRQGU5RbTU9p6QMXHhCE8soudP4MUtNSIUEbw5FBGUQhEB1BmKCKCy7CK601s/rEcv1TN8fOwnwaM96O43iKgp/pi6j8E3O8ea8aPNiP28SY3wc/xHbjeI9kR54iSG5eMOScZEFveIGvvdgf2YmkDeuraXClck7hHtifIf14392dueySw4Je/xzuj+hxE1xYuhfhw2z2oqH+0zIvafrnG39l+7D1EEbwtFBKVQRAB1hiICqCyziPikI/1Ze15OEd1p7F/D8TzPW5s/WGfCw2ey7sTNGoGEi+Xa8zxuyv+0tJvHZBFRZ+CsPc9bjbuN4Ey5zeK569paKvbgevGz1WDdkfsY/Fmzw6VaP0wen8nalBod42HteZ476TI/eB6tnw3h5x/uBeOLw5WHY0TwTqCIoBSKCKDOUEQAlWUV0do864xXnuflFZHeaojazHbjtxng4w51p9zLGkG2wme6oza7sJNFFC0VHYOKLV6+rnCp+IN83CHJXCdfAh93KBw2nMn6j0Q/otnZ+j+k3XiPC5mOx9FdHdxRuz1yUUTwTqCIoBSKCKDOUEQAlWUU0aMl/6Pb/rezz5rz+MKQjvYZUfNIGt49pp+ZO4LHJx26WCYrZWv8+OKl60oUUfhg5p+zZhLMJzkUn3Qo5WKJIoJ3AkUEpVBEAHWGIgKoLKOIbrTmxSY3Ykd43KiIAo9re9Rlfr3EeyM9ws+oObKOEW21TXzx0nVVK6L0MSI+68aOEbnDf0m78dZ/JDoLjjDFoIjgXUARQSkUEUCdoYgAKtsuIrvfkhfROWpLrdH6uVh7nrdeaAIFwcCOh/5pbOvFz9bR0PUSEZIYwb++aBRd8yMkbsmd1TbxxUvXVbGI4lc0Cfqdl3cdkRxdR7R2hidN6c/aP6fuJ4oI3hqKCEqhiADqDEUEUNlWEbnDf6X48ZH1Qgtv6TY1wut87EFP2CMitn8kmyvP8+IRkhzBv8PbrLffINoTtUXyhg0ZbZOaQPG6vIpFJBmj3n6D2H+6+k2wjuhec53NC9zca472RGlkB3e967cZUXDLB4A3giKCUigigDpDEQFUlvP7iD6j8t+MZOv/tIerV5oOwNOgiKAUigigzlBEAJXVvYjuNPbPT8s/cPVHbsXu6ADwPqGIoBSKCKDOUEQAldW9iLzH+Fl509UbzAugEhQRlEIRAdQZigigshoVEcCngCKCUigigDpDEQFUhiIC+FhQRFAKRQRQZygigMpSRYQvfOHr/X+94a42fAgoIoA6QxEBVBYvIgAA+ARQRAB1hiICqAxFBADwyaCIAOoMRQRQWaqInN8iqUQqib+dt/q3/GMyFZVIJVIV862nAgA1hyICqDMUEUBl20WUaiFnoXXVJqlEqtC9HC5XwcNGn5TF5lnTQbvz2y78N9ox+n4zhF+XJr83xPCvymJ72JwFM6oja/Ci+ZuKmliR81ukvuFshhKN+/B794aY+Jb/1RR+9fRFqhtNBUUEAG8NRQRQZygigMqKi8iZddiFPL5zOed85UxHIrvQLM6T6eKal+3OZOmW/BudWTucc1PZ5EduEWUtWP6c/PkXF5GoXIpsMA1eUbKIgqX+z3VujN4FS3YgiggA3h6KCKDOUEQAlRUWkaWpLe068X2jT72ZE28D+3enfWnGcshUsk+6e/0iKph/SREZd6aiivod5zyniHx3hhg9LXgtKCIAeGMoIoA6QxEBVFZURHd6W1Ws5D+09m+RLs2oDexZT+wPk2fLvZsiKpp/WRHdc2fWZf2xwwuLiDvjPnVm0YtFEQHA20MRAdQZigigsqIiWihhJCSeQIOp6x9suVQEtSUvyk6XCxdNXuoTlcNORVTxOiLFLJl/eRFxbmkXLe26uIi4eRnPPxQRALw9FBFAnaGIACp7zjEi1jeWC0VQO8Yd38G7OkZkZRRRcDOGqIi4O5dY33BwjAgAPhQUEUCdoYgAKiu8jshUdruOiF0o5qr03+jXv46oaP7DPsmx59uTNhtZ4XOi+dj6LyZP9NwiujdEtTt8iK8RRQQAbwxFBFBnKCKAyl7oXnMC6xvh1UTv5jqiovn7p8np1v9yzrl7N+ypgnYTDbW59ba7UFoqYxlFhHvNAcA7hSICqDMUEUBlL/T7iGyjz4TgjnNViijr9xFt/VqhXa8jyqymnPlzzh1r0vPX3lS72uY3CyWKKFg7fh8RAHwcKCKAOkMRAVRWWkRQBYoIAN4eigigzlBEAJVtF5F/DARdVJGp5B6/AgB4VSgigDpDEQFUlioiAAD46FBEAHWGIgKoDEUEAPDJoIgA6gxFBFAZiggA4JNBEQHUGYoIoDIUEQDAJ4MiAqgzFBFAZSgiAIBPBkUEUGcoIoDKUEQAAJ8MigigzlBEAJWhiAAAPhkUEUCdoYgAKkMRAQB8MigigDpDEQFUhiICAPhkUEQAdYYiAqgMRQQA8MmgiADqDEUEUBmKCADgk0ERAdQZigigMhQRAMAngyICqDMUEUBlKCIAgE8GRQRQZygigMpQRAAAnwyKCKDOUEQAlaGIAAA+GRQRQJ2hiAAqSxWR81sklfwvZfFW/5oXc4w+hZMUjfu3ng43FSIiUq6etsgTFn/N8f/G9F7BC07bVEgxnz/Mu17j+1dpm0RPfqktufuAmU8wFXrt/1OhiADqDEUEUFlmESVbKF4g6Vhybgzpl9BUiVS2f9HVFk64lKmknum3Vt9wEmP2xg/x5/s7E6k1CuL/08d3bvJffP85KKIXGd8xjiiG7R8r09vtoV5Naj5N4UQZ3+60SDjPp78pKeJg/Pf7JLUbvct+fN2q6UMX0RtAEQHUGYoIoLLdi2j7kJEz6zZVYn3DXnH+f870UiCVhJHlcr5zEREbTGPPTxSRv6x7N5YviFRBWcSjCEX0guMncmL5SyQiOjKcgiX+rsR8nJncIqKGPF3tusjztqpjHMUXfIV9XBRRKRRRNSgigDpDEQFU9vQiWk1llUgV9bvoIb9q/Ed2LSJSW/LCLSgizjm/1dsqkapZ6VllF5Ez13uH+8z/If+eIE2caBe598uQDptEbP/EsFfhtBPfaopnY3tlD8/EJhH7Jo2TR0vEU0ncIyLWPhvbqcW/se3H/X1r85yIiM5Nnv5W/M+2fkhErDNyLLVFRHQ2dTnnD+MeETWCjTM+JSKmXHHOLf2guTmQciQZ1+6O46c2WCInrhQioq/+1s4YKmsblswkWOTImI40TdX0q2AC9kTTVM2Ybx0AzMgbpszzVpQ6pkTKVcFUgwHFQV7xbReRPLzSugfN2JvLOef8wdJPhCYR7YnSxN4ax1RINmZa5wsLPlT+23cm+C+Afenoc3fz2fA/XQOnaI3R0OlFOH8wteN9RsS+dLSr9EtzZ3Lz+zTaynZfFPt2zlKJfXpnIIYbylRIHl/72zP93509ksQvjIjtH/b0uZv/EkyFevrAf3JTVE37Su8Fb9Aw9pzt7Zb3YN5UtwLmwVQOBOXKdWcSO7fCzcja/nbgjnEkGrfZb1DxgDu86fHFMzdL3kpjG3yU8w7mQBEB1BmKCKCypxfRtcLSleJOB0QqdWbObkUk6hOJqUQXirUqLCJuKSqR2tJuUrPKKqJbXSSir/L0If5ouIs8cTh3hidERGEYxL/lNwNQLYwBAAAgAElEQVS1VdPh3O6LmyxJjjA+Y0Qk9u3Sx3cvIksViEg4N13O+ZXCwixxZxIREbW0OefcVBpEJKUOmLjBq87NmPT4CRnHiATVyptq1jYsmUngyLBnMiOik6HDOeeW9pWIusOH1BiZRdTWbwtWlH2MKGeqVYtI6PVNZ8X997c38Re09UNBmfk1YmmHop4+r89USOgNLIdzzm3jmKV2YZ25JjYyjzzkrTE1eHwRSzsQZP9pD1PlQNDmqedb2tdoO0d/zlyqIDOa3V9mxla71cUj3V5xzl3nStdGTv5LiG+Tpf6NhFNj+cA5d6bfW1nPibZb/EFneBo9uFsRrWL18jDufdNtfzsctlr+sdDVVPoa/19Z3huUNWD6fSmYZ/k7m1xpfINnvoO5UEQAdYYiAqjsSdcRicY95wslVjjh7sAlkUri712LyLh3hn1GKgkjTS4qorxHsoporjAiaojyYGzdOuE+y459Enwr2LXyj5YE548lnuZMekREx0Nnt8dLi6h3rghEdBDtlvnlIxq33DxndCiKRO2+zW/1NhGdjv3N7t6O9VOx/S08ILbZ8SodP/kWJ4+x0EFPnzt5U816RSUzkWfRvmP4uu6D6mOxn3yn5hNuUqlFxI6HhS+56Ky51FTLFJ01t9ntnmuts83MY7vj2QvyK5nClxCyjSP/A1x01lzWyFuLzLXWkRH1ljuTWmr6fY6OKrgzKTjakL1UaWZsmWutA3l8G38bdxrEPN9s59wVBdut/MHcIlqZyrd2rF5s/VtneM/5XBPVYfAWJN/N6Jlbb1DmgHHF89zlnc37VGS9g/lQRAB1hiICqOxFjxE5437pMaJhsog4v9PFTWu9xDEi7lj9nvgl3GFutLXgNJ6XLKLYt3Z6vLSIApurd9zpGRFRbzLVvlK7b45PiY4Ma9TZTM8/SNLo6HPHDcbJLaKt8ZNvcTwnHqbyVyKKjhjsUEQ7zSR8L9UWEYn95fQ7Cw98Zc8nfAf3xTNj6R8Ty13RqxfRVfpGDGVFpPgb37nSpZN2Ozj374WKKBx889ftF/sw7H7VLG7rh+E2z16qehFxdxmeCCecaOZDwUt4QhEp4X9NJQ/mFJHYOWYUCz/OuXXOpJlr90XlijsDsTtynIEYHa4pfIOyB4wpnmfuO7vDpyLrHcyHIgKoMxQRQGV/7ToiK7uILs3YmEHPWCOhpIj8arrY9TqikGv9aoe7wi99jGjUIfKP1ez0eGkRiYOpf5HPZs9s0iMidtwRiSlz7gxEIlE8inaY/EdS08stou3xE29xIieCv4bXtJQX0W4zCflVcyiKRHSoZ+1ZpuYT+0buit7iGNH34gETC7oziU7HzrUufJWG145/3tRfOkbkTHrbx4g4d6ffm70zqRVt8+ylLKWxOSdztyKKONYvkZ3veqBplyIKtlv2g6VTNRUS9Wtn2e/ErlPyj4YZ+qFics5vdfHUMM7CczJL3qDsAWOKJ5+zWXb6VPCMdzAfigigzlBEAJX9tXvNudMBI5W6s+Bcp+mAkcp6wV+TPRNcRPTi95oLruoRfi1fuohs/YiImDzbHH2S048HlyQF1xedlhSRcsXduSIQUbSTd2+I5JOmKx6cL0dEwVUQ3PWvyfmmLzl3rhShsIgyxo9vzIxjRP6FMTsV0W4ziQRbhoi6W5chZcwnJn9FwRYOr9UpLiKz4nVEmTv3wUU4/qfdmWlK+rWYCvWGD/61K6Z2yOSZy+cK+6Yv/aGuh9JX/wPsGEdt/bp0jalJxhextIOWVHQdEeec87nWSmzzzKWc8WlLnjmcc/d+qhyyHc6a05XJMvgPe9R7iSLa2m7cVKhr3PsPWvqR/2DpVKM/uOa5sLmC7n7YabDwxDNb/9ZqHShBQWa/QWUDbmTOs6yISlYa39Spd9D/GUHG+4IiAqgzFBFAZc8pIs4Lfh8R5ytL7zdJ3e8MNLnfZiprX06dxJibnnHnEiv8fUTTdPnkFpEzkdrhKXPsi9gLLk1+sSISDsX9BtGeKA2WsTsutNr+3e02j3N3roe3nBrq38uLiHN3esaIqPXdDPbV/HIIrhry70NAsR//O9NzsUlE1BRVpVtWRFvjxzZm6vcRHUrGdaXriHaZSWx9oy5RwQ21c4sof0Wc346lw+B+Xcr8FYqI8wdLPw0mI5woyQtp/AVFMboZ3chOzH9P6KqGFhwN4O6V5t/AsBvclqC0iFKLlNxrLpywf9pV/JGspW7H0jdG1BRP9eGvHY4R3U8V/2VSMzy/8ZlFtL3dTIXErr+1Nw+WTjW+Ont4st8+D//L+kZSeG2b3W/T5iKizDeodMBI5jxLz5orXmn8/Uq/gygiANiGIgKobIciehb3fmkuptPF0in6ZTJP8Pq/jyh75x6ewL+UKOvMrs9kl9PMXlXpLZvfh3e33d6P3d9BFBFAnaGIACrLLCJScw8KvQPxI0goog9oNZUaFJ6V94m9tz378ls2vw/vbbu9HxXeQRQRQJ2hiAAqSxURAAB8dCgigDpDEQFUFi+i6e8pvvCFr/f/9Ya72vAhoIgA6gxFBFBZqojeejoAUAJFBKVQRAB1hiICqAxFBPCxoIigFIoIoM5QRACVoYgAPhYUEZRCEQHUGYoIoDIUEcDHgiKCUigigDpDEQFUlldE6z9Se+Q+Z+RgBD7ukLZMfS/zwczF/7YdZpJ+5u6LvPKAUA8oIiiFIgKoMxQRQGU5RfRo/Wjpd88ZOBzhibv7z5/AblBE8NGgiKAUigigzlBEAJXlFNFS23vmPno4whN3958/gd2giOCjQRFBKRQRQJ2hiAAqyy6iO731w3r0UjvrfHxM2o3neY/2oLvfIKKm+GPqPgbf7Bxrxo82I/bzJjXCz/Efud0g2hPliZMYlo87JBkTWdwjaux3B/ZjagJ569peKlyRuEe0J8p/XDf2Z297JrOsB1PTi7/qjIBZW/8jCBfLtbc2z9rDled5nvdoyUTywp+oO/xXMtee53nrG7333yYRUWNf/GG66Y2QGhAgF4oISqGIAOoMRQRQWWYR8UlH+rP2vJw2uNPYv4bjeZ63Nn+wzoSHz2TdiZs1AgV7+dyU/2lpN4/JGKDOwFl7nrcadxvBmXKbxXPXtbVU7MH14merwboj9zH4s2aHS7V+mDw9k/zpxV91OmDWy4tNvaz/SMHc7vQWUatve57nrYbtM3Pted562mt0xyvP87zH1bBDTLsrGRAgD4oISqGIAOoMRQRQWVYRrc2zjr/7nlNEeqshajM7OGLjRc/sTrmXNYJshc90R212YSdjIFoqOgYVW7x8XfFiCR/k4w4FB2eS6wqHTcwkf3rp8TfHtbQLgc6mm3pZT3vHY+557qgtjYbSv0PX8/ik05ttB46704AAOVBEUApFBFBnKCKAyjKK6NGS/9Ft/9vZZ815fGFIR/uMqHkkDe8e08/MHcHjkw5dLHMuoQnHjy9euq7tYvFy/lw8k9wHM4uIhDO529j0leetp6eSufZbzh0fS+aaj497UeI88uV4oOs/eu1/9xntMiBANhQRlEIRAdQZigigsowiutGaF5sciB1CcaMiCjyu7VGX+fUSr4j0CD+j5Mg6RrTVHvHFS9dVrYgyjxFlTm/rVSfG+bn0PHfSYSfhkSrPW8968mzqt5zdb8mTsX/UyPM8704XGqI2s5YPfP2464AAmVBEUApFBFBnKCKAyraLyO63whsDeJ631Bqtn4u153nrhSYQaTfe+o/Ejof+aWzrxc/W0TBxn4DUCP71RaPomh9Bz7iEJnzqMWk3icVL11WxiOKXDEUz2Zpe1qvOmrM7PGLB9U6e5/Fx979C63+Wnuc9LuTWP63gyiLP47MuHQ9dz/O8tT3qMv/WC6UDAmRBEUEpFBFAnaGIACrbKqLN7dF864UW3tJtaoTX+diDnrBHRGz/SDZXnucld+vjI/g3c5v19htEe6K2SN6wIaNtUhMoXpdXsYgkY9TbbxD7T1e/iWayNb3MV50158c7TWhER5P4+JiCnlmbEonB3ec8z3u0jZN9Rv7t7Ozp/7DE767NHRAgA4oISqGIAOoMRQRQWc7vI/qM8Gt/4FNAEUEpFBFAnaGIACpDEQF8LCgiKIUiAqgzFBFAZSgigI8FRQSlUEQAdYYiAqisRkUE8CmgiKAUigigzlBEAJWhiAA+FhQRlEIRAdQZigigslQR4Qtf+Hr/X2+4qw0fAooIoM5QRACVxYsIAAA+ARQRQJ2hiAAqQxEBAHwyKCKAOkMRAVSWKiLnt0gqkUrib+et/i3/mExFJVKJVMV866kAQM2hiADqDEUEUNl2EaVayFloXbVJKpEqdC+Hy1XwsNEnZbF51nTQ7vy2C/+Ndoy+3wzh16XJ7w0x/Kuy2B42Z8GM6sgavGj+pqImVuT8FqlvOJuhROM+/N69ISa+5X81hV89fZHqRlNBEQHAW0MRAdQZigigsuIicmYddiGP71zOOV8505HILjSL82S6uOZluzNZuiX/RmfWDufcVDb5kVtEWQuWPyd//sVFJCqXIhtMg1eULKJgqf9znRujd8GSHYgiAoC3hyICqDMUEUBlhUVkaWpLu0583+hTb+bE28D+3WlfmrEcMpXsk+5ev4gK5l9SRMadqaiifsc5zyki350hRk8LXguKCADeGIoIoM5QRACVFRXRnd5WFSv5D639W6RLM2oDe9YT+8Pk2XLvpoiK5l9WRPfcmXVZf+zwwiLizrhPnVn0YlFEAPD2UEQAdYYiAqisqIgWShgJiSfQYOr6B1suFUFtyYuy0+XCRZOX+kTlsFMRVbyOSDFL5l9eRJxb2kVLuy4uIm5exvMPRQQAbw9FBFBnKCKAyp5zjIj1jeVCEdSOccd38K6OEVkZRRTcjCEqIu7OJdY3HBwjAoAPBUUEUGcoIoDKCq8jMpXdriNiF4q5Kv03+vWvIyqa/7BPcuz59qTNRlb4nGg+tv6LyRM9t4juDVHtDh/ia0QRAcAbQxEB1BmKCKCyF7rXnMD6Rng10bu5jqho/v5pcrr1v5xz7t4Ne6qg3URDbW697S6UlspYRhHhXnMA8E6hiADqDEUEUNkL/T4i2+gzIbjjXJUiyvp9RFu/VmjX64gyqyln/pxzx5r0/LU31a62+c1CiSIK1o7fRwQAHweKCKDOUEQAlZUWEVSBIgKAt4ciAqgzFBFAZdtF5B8DQRdVZCq5x68AAF4VigigzlBEAJWliggAAD46FBFAnaGIACpDEQEAfDIoIoA6QxEBVIYiAgD4ZFBEAHWGIgKoDEUEAPDJoIgA6gxFBFAZiggA4JNBEQHUGYoIoDIUEQDAJ4MiAqgzFBFAZSgiAIBPBkUEUGcoIoDKUEQAAJ8MigigzlBEAJWhiAAAPhkUEUCdoYgAKkMRAQB8MigigDpDEQFUhiICAPhkUEQAdYYiAqgMRQQA8MmgiADqDEUEUBmKCADgk0ERAdQZigigMhQRAMAngyICqDMUEUBlKCIAgE8GRQRQZygigMpSReT8Fkkl/0tZvNW/5sUco0/hJEXj/q2n8+GZChERKVdvPZFqXnDapkKK+fxh3vUa4Wky3ylToff+fx4UEUCdoYgAKsssomQLxQskHUvOjSH9Epoqkcr2L7rawgmXMpXUM/3W6htOYsze+CH+fH/nI7VGQfx/+vjOTf6L7z/nve+XZHGMo79UIAUjB98Ksf1jZXrrf+tNiig1n6Zwooxvd1oknOcTph0skiIOxn+/T1I71rsUEaopz4tvmYIBP+q7gCICqDMUEUBluxfR9iEjZ9ZtqsT6hr3i/P+c6aVAKgkjy+V85yIiNpjGnp8oIn9Z924sXxCpgrKIRxGKqNLIiW8tf4lEREeGs/3EV5KYjzOTW0TUkKerXRd5Xsg5xlF8wVfY60URvSAUUTkUEUCdoYgAKnt6Ea2mskqkivpd9JBfNf4juxYRqS154RYUEeec3+ptlUjVrPSssovImeu9w33mHwLYE6SJE+1A934Z0mGTiO2fGPYqnHbiW03xbGyv7OGZ2CRi36Rx8liKeCqJe0TE2mdjm3POuXvtL0jNw4741T/s4HDO+cPSOBP3G0REzcOePne3jo2QclUwscwRuHulCER0oJgrzrkzPmVEJA7MrZGTb2I8J64UIqKv/vaMp0XBZCz9oLk5pHMkGdduxtY7MqYjTVM1/SqoLXuiaapmzLcO8WXkDVPmeSuquN24qUTvQtYHZKuI5OGV1j1oxt9Wzjl/sPQToUlEe6I0sbfGMRWSjZnW+cKCjw3nnDvjM8F/AexLx3/LzPP4ISmnaI3R0OlFOH8wteN9RsS+dLSr9EtzZ3Lz+zTaynZfFPt2zlKJvXxnIIYbylRIHgcf5vR/WfZIEr8wIrYffA7zXoKpUE8f+E9uiqppX+m94A0axp6zvd04f7D0cKrd41b4qtNvQYWNuf32zTUh+A+Hc24bx23lys3Y1CVvcbQB81ad8RlIb95Rzvv1QlBEAHWGIgKo7OlFdK2wdKW40wGRSp2Zs1sRifpEYirRhWKtCouIW4pKpLa0m9SssoroVheJ6Ks8fYg/Gu5ATxzOneEJEVFn5Gx9y9YPiYjaqulwbvdFIqKz8ChWbITxGSMisW/z1VRuEJGgXDmc2/pRtF9laQdEJOq3nD+MpQZRwz9FMPtYR9bE8kZwzXOBiIRzcznoMCJ2bPj74pWOEQmqFZ9AoogyJhN7m4MtnAiqwJFhz2RGRCdDx38JX4moO3xIjZG5Edr6bcGKdt9uvHoRCb2+6fiFecZ6E39BWz8UlFmwX64dinr6vD5TIaE3sBzOObeNY5baqXXmmtiIdp1Tx4gy15gaPL6IpR0Isv+0h6lyIGjz1PMt7Wu0naM/Zy5VUETN7i8zY6vd6uKRbq84565zpWsjJ/8lxLfJUv9GwqmxfOCcO9PvraznRNvNMY7Cqa4cU22LAyfnLdhxY2a/ffag0zwd+/91C+dm+J92wTGiaKrO8NSfaryISt7H5Gcgvnkz368XgyICqDMUEUBlT7qOSDTuOV8oscIJmJdEKom/dy0i494Z9hmpJIw0uaiI8h7JKqK5woioIcqDsXXrhD+FTZxkFfxU+NzM+1awj+gfSwnOLks8zZn0iIiOh/ZMCkrAn1VYRK7/+PHQiT3u774XnP0Vn1j+CJxze3PMZPMz792vIyI66OlzZ2sCBVuJu7dj/VRsfwsPvm12ComI5Fn0825TaVBwkOFKYUQs9rPw1HzCjSm1iFjwSvNWtOt220HRWXObQphrrbPNzGPlkL0gv5LDNytiG0f+R7TorLmskbcWmWut4DPGOefuTGqpVmqB6DiDO5OC4w/ZSxUUUU4YzLXWgTy+jb+NOw1inm+2c+6K/O0211qnYyc1YPZbsNvGzH37bOO42TnrCZsts/NZc8FbHC+i0vcx7zOQ9X69HBQRQJ2hiAAqe9FjRM64X3qMaJgsIs7vdHHTWi9xjIg7Vr8nfgl3pxttLTjJ5yWLKPqWNYhfk7MpIsd/PEkcVCii/BGCCewTEVF3c2Bk12NE/GEqfyWi6IjBDkXkH65pdPS54wZPSxRRfKWW2iIisb+cfmdEra2jGTxdaI198cxY+l2Xu6JXL6Kr9I0YyopI8T8GzpUunbTbwbl/L1RE4eCbv26/2Idh96tmcVs/DLd59lLVi4i7y/BEOOFEMx8KXsITikihI8NJvqLgydlvwW4bs+Dtu9VF2t/tQrLMd6G8iHb4DGS9Xy8HRQRQZygigMr+2nVEVnYRXZqxMYOesUZCSRH51XSx63VEIdf61Q53lF/6GNGoQ0R0Orb9g0VbReQmjh0lt2elY0QZI/Dw7D7GNqfSbY9csNLNPHcsIicRfiVFFFTNoSgS0aGeNf/cqeav6C2OEX0vHjCxoDuT6HTsXOvCV2l47fhnUv2lY0TOpLd9jIhzd/q92TuTWtE2z17KUhpSdBOL3Yoo4li/RHa+64GmXYoo2G5zhX3fKqLst2DnY0TZb59tHAvSuSwcKNYqY4SCdQVTLS2inT4DPOP9ejkoIoA6QxEBVPbX7jXnTgeMVOrOgjOhpgNGKusFf032THAR0Yvfay642kf4tXzpIvKvF2LyzOUPw67/Y+BbzleW/i1cfGUpB0QUXhrBHWvQ06845874lMi/Biln7cHEckcIryNSLTt5HVFy5OSbmHGMKLoqo7yIXP/qoG/6knPHv7VDQRGFl2NR4hBW/nxi8le083YLv1vlOqLMnfvgIhz/8+zMNCX9WkyFesMHl3POH0ztkMkzl88V9k1f+kNdD6Wv/kfUMY7a+nXpGlOTjC9iaQctqeg6Is4553OtldjmmUs549OWPHM45+79VDlkO5w1pyuTZfApHPVeooi2tttqKu91jFvOOXfvTf2YhRfjbb8FO27M7LfPHnTa56bLuaUK4XVEqQHjTIW6xr0/VUs/YvLM5aVFlP0ZyNq86ffL/4nAC9zdDkUEUGcoIoDKnlNEnBf8PiLOV5beb5K63xlocr/NVNa+nDqJMTc9484lVvj7iKbp8sktImcitcNT5tgXsRdcyvxiRSQcivsNoj1RGiz9RHOu/FtRsf1jqfeNiEgOwmM5PO8Ke/5cmsJRb+hfmn879u9NR8SUeeGefdYIzqjDNsdenOFxeI+H9MjJzZX6fUSHknFd6ToiZ3ouNomImqKqdEuKiDujLlHBDbWLDmflrKjKdnuZIuL8wdJPg8kIJ0ryQhp/QVGM7mY2shPz3xO6qqEFxwe4e6X5tyjsjtLnfeUUUWqRknvNhRP2T8SKP5K11O1Y+saImuKpPvy1wzGi+6niv0xqhuc3PrOItrcbd+d6+N+RZqiiNAs7ZOst2HVjbi+bvtecIF9tDxhnKiR2/UE2Uy09ay7zM5C1ebfeLxQRADwfigigsh2K6Fnc+6W5mE4XS6foV808wev/PqLsXf+E+2EvcRpbffmXEmWd2fWZ7HKa2at68Zs4/x1l221l60cvfO+19+nvvV8oIoA6QxEBVJZZRKTmHhR6B+JHkN5DETnDk/AuDtQUTpTh9cveNeoDWk2lBoVn5X1i762IXv4mzn9H9nazfgW/w6d50M09CPap/MX3C0UEUGcoIoDKUkUEAAAfHYoIoM5QRACVxYto+nuKL3zh6/1/veGuNnwIKCKAOkMRAVSWKqK3ng4AlEARQSkUEUCdoYgAKkMRAXwsKCIohSICqDMUEUBlKCKAjwVFBKVQRAB1hiICqAxFBPCxoIigFIoIoM5QRACV5RXR+o/UHrnPGTkYgY87pC1T38t8MHPx92W9fnyHQ0G9oIigFIoIoM5QRACV5RTRo/Wjpd89Z+BwhB3ip2jxd8Qx/mXazXsbCmoHRQSlUEQAdYYiAqgsp4iW2t4TMiYuHOGJRfT8Cby4pUb0QhnzgkNB7aCIoBSKCKDOUEQAlWUX0Z3e+mE9eqme4eNjfz/+0R509xtE1BR/TN3H4JudY8340WbEft6kRvg5/iO3G0R7ojxxEsPycYckYyKLe0SN/e7AfkxNIG9d20uFKxL3iPZE+Y/rxv7sbc9kFpyS93hndP/DiJrixVA/DkNlNZWP9hkR+0/XuFv7r92n3eRPO72U97iQ2X+1pf9KbjThn5/Lx+RQABWhiKAUigigzlBEAJVlFhGfdKQ/a8/LKaI7jf1rOJ7neWvzB+tMePhM1p24WSOQcLFce57HTfmflnbzmCwi6gycted5q3G3EZwpt1k8d11bS8UeXC9+thqsO3Ifgz9rdrhU64fJ4zNZm1KjYzysPc9zJ13mV8qj9bMh/PzDvWB8cbjyEgd2MieQvdSj9YMJF8vHR0tuCNqNn044RgRPhyKCUigigDpDEQFUllVEa/OsM155npdXRHqrIWoz243fG4CPO9Sdci9rBNkKn+mO2uzCThZRtFR0DCq2ePm6wqXiD/JxhyRznXwJfNyhcNhwJus/Ev2IZmfr/5B24z0uZDoeR3d1cEft9sjdKqL0BHKW8rxHS24I7X+ZcLEMV4QigqdDEUEpFBFAnaGIACrLKKJHS/5Ht/1vZ5815/GFIR3tM6LmkTS8e0w/M3cEj086dLFMVsrW+PHFS9eVKKLwwcw/Z80kmE9yKD7pUMrFcquI0hPIWcrzPM8ZCBQVmuehiOA5UERQCkUEUGcoIoDKMoroRmtebPb2Y0d43KiIAo9re9Rlfr3EIyE9ws+oObKOEW21TXzx0nVVK6L0MSI+68aOEbnDf0m78dZ/JDqL9UugpIhylgrOoOudCq3/wTEieAEoIiiFIgKoMxQRQGXbRWT3W/IiOkdtqTVaPxdrz/PWC02gYNefHQ/909jWi5+to6HrJSIhMYJ/fdEouuRGSNySOyst4ouXrqtiEcWvaBL0Oy/vOiI5uiJo7QxPmtKftX9O3c/8IspZyh0fs+7E9R6X2n9bP4PriGJDAVSEIoJSKCKAOkMRAVS2VUTu8N/4+V3eeqGFd1SbGuF1PvagJ+wREds/ks2V53nxSEiO4N/hbdbbbxDtidoiecOGjLRITaB4XV7FIpKMUW+/Qew/Xf0mWEd0r7nO5gVu7hpHe6I0soO73vXbjEj6s847mXB7KbsvsJPg4qLHm5+tf34uH5NDAVSEIoJSKCKAOkMRAVSW8/uIPqPy34xk6/+0h6tXmg7A06CIoBSKCKDOUEQAldW9iO409s9Pyz9w9Uduxe7oAPA+oYigFIoIoM5QRACV1b2IvMf4WXnT1RvMC6ASFBGUQhEB1BmKCKCyGhURwKeAIoJSKCKAOkMRAVSGIgL4WFBEUApFBFBnKCKAylJFhC984ev9f73hrjZ8CCgigDpDEQFUFi8iAAD4BFBEAHWGIgKoDEUEAPDJoIgA6gxFBFBZqoic3yKpRCqJv523+rf8YzIVlUglUhXzracCADWHIgKoMxQRQGXbRZRqIWehddUmqUSq0L0cLlfBw0aflMXmWdNBu/PbLvw32jnHkjAAACAASURBVDH6fjOEX5cmvzfE8K/KYnvYnAUzqiNr8KL5m4qaWJHzW6S+4WyGEo378Hv3hpj4lv/VFH719EWqG00FRQQAbw1FBFBnKCKAyoqLyJl12IU8vnM553zlTEciu9AszpPp4pqX7c5k6Zb8G51ZO5xzU9nkR24RZS1Y/pz8+RcXkahcimwwDV5RsoiCpf7PdW6M3gVLdiCKCADeHooIoM5QRACVFRaRpakt7TrxfaNPvZkTbwP7d6d9acZyyFSyT7p7/SIqmH9JERl3pqKK+h3nPKeIfHeGGD0teC0oIgB4YygigDpDEQFUVlREd3pbVazkP7T2b5EuzagN7FlP7A+TZ8u9myIqmn9ZEd1zZ9Zl/bHDC4uIO+M+dWbRi0URAcDbQxEB1BmKCKCyoiJaKGEkJJ5Ag6nrH2y5VAS1JS/KTpcLF01e6hOVw05FVPE6IsUsmX95EXFuaRct7bq4iLh5Gc8/FBEAvD0UEUCdoYgAKnvOMSLWN5YLRVA7xh3fwbs6RmRlFFFwM4aoiLg7l1jfcHCMCAA+FBQRQJ2hiAAqK7yOyFR2u46IXSjmqvTf6Ne/jqho/sM+ybHn25M2G1nhc6L52PovJk/03CK6N0S1O3yIrxFFBABvDEUEUGcoIoDKXuhecwLrG+HVRO/mOqKi+funyenW/3LOuXs37KmCdhMNtbn1trtQWipjGUWEe80BwDuFIgKoMxQRQGUv9PuIbKPPhOCOc1WKKOv3EW39WqFdryPKrKac+XPOHWvS89feVLva5jcLJYooWDt+HxEAfBwoIoA6QxEBVFZaRFAFiggA3h6KCKDOUEQAlW0XkX8MBF1UkankHr8CAHhVKCKAOkMRAVSWKiIAAPjoUEQAdYYiAqgMRQQA8MmgiADqDEUEUBmKCADgk0ERAdQZigigMhQRAMAngyICqDMUEUBlKCIAgE8GRQRQZygigMpQRAAAnwyKCKDOUEQAlaGIAAA+GRQRQJ2hiAAqQxEBAHwyKCKAOkMRAVSGIgIA+GRQRAB1hiICqAxFBADwyaCIAOoMRQRQGYoIAOCTQREB1BmKCKAyFBEAwCeDIgKoMxQRQGUoIgCATwZFBFBnKCKAylBEAACfDIoIoM5QRACVoYgAAD4ZFBFAnaGIACpLFZHzWySV/C9l8Vb/mhdzjD6FkxSN+1dbr6kQEZFy9WprLJ7D68/nBddoKqSYzx/mXa/xXTEV2v6P5dnb5HYsHTaJSByMw/Frvp3fCxQRQJ2hiAAqyyyiZAvFCyQdS86NIf0SmiqRyvYvutrCCZcyldQz/dbqG05izN74If58f18qtUZB/H/6+M5N/ovvPye3iJxrQzoSmkRExL60xdOhXXmnwjGO4gGQ1wOpp72IYMy4rQqq2iepMZvCiTK+3WmRsi1QIFgkRRyM//5+c2rXfJc99Xe3N+/Mdelwn/nv11FPnzlu+UK+V3i9zvi0Jc+c5IPvbhvWE4oIoM5QRACV7V5E24eMnFm3qRLrG/aK8/9zppcCqSSMLJfznYuI2GAae36iiPxl3buxfEGkCsoivjdYVETOqNskYoea+cA55+79VDvSqu+l7Zg6f7GICsd8YhH5z3dmcouIGvJ0tfs0nnOMyDGO4gu+wn7zhy8iZ9JrHvSMuZ8crnM91s6HTslCkVd4vZbS2F78fW3D2kIRAdQZigigsqcX0Woqq0SqqN9FD/lV4z+yaxGR2pIXbkERcc75rd5WiVTNSs8qq4hWU7lBRKKecQDE0g+am4MkR5JxHVbWw9I4E4W94JhSd2CmjtIoV9WPET2Y+qm43yAitn8oGdfB3qx7bfjnGjUPO+JX/5iJs9uY+ceIHpbGmb8uah729Pn2sYTMvGHKPG+zpI9TRVug98ufP9s/MexVYm5bLySx9mQRycMrrXvQJGLts/HmCN6DpZ8ITSLaE6XJ9oE9UyHZmGmdL4yoKQYLOuOz6Hhgx3/t5nn8kJRTtMZo6PQinD+Y2vE+I2JfOtpV+qW5M7n5fRptaLsvin07Z6lEJzgDMdxQpkLyOPg8pD7Mlva1pc0ztuT2iw1WGm63Xt+aZrz8wnrJfKUPlh4+2D1upd7c2OYSjftoqPiYxW8l/EUoIoA6QxEBVPb0IrpWWLpS3OmASKXOzNmtiER9IjGV6EKxVoVFxC1FJVJb2k1qVllFNFcYETUUa+s7ce6tLhLRV3/+lnZARIJy5XDOnWuj98t87llzK0s5iMIsGF+bR8Hmr8vWj16kiPzxRf2W84ex1CBqRKcj5o3pL95OdWNys2Rvgd7E4dwZnhARdUax8ySrFZHQ65vOinPujM9Yb+IvaOuHguKfiPVgaYfbWWsqJPQGlsM557ZxzIIIiVYz18TG1q550RpTg8cXsbQDQfaf9jBVDoStPrG0r93hQ+rPmUsVFFGz+8vM2Gq3ervsMxx7sbZ+yDoD2+WcP1jGr7Gz0yGy6MHMOTvGUfjgyjHV9tabGx9zu4hK30r4i1BEAHWGIgKo7EnXEYnGPecLJVY4AfOSSCXx965FZNw7wz4jlYSRJhcVUd4jWUV0pRARHRmZ++bu7Vg/Fdvf/GsziEgxOXdnkr9I8ufYzyqiaMxgT7/fJiJ2biXXFSybV0Qx0WXrGUUUjHk8dGLLbu3xJ8+am0gtIhYskr1ZirdAcIjgfMczpIrOmtsUwlxrnW2OusTKIXtBfiWHrzpiG0eZl/jnNUn+4HOtFftIuDOppaYLJTou5M6k4HhR9lIFRZRzjtmVkvcZznixc631VUtOrkoRZc55rrVOx9EEyt6LrSIqfyvhL0IRAdQZigigshc9RuSM+6XHiIbJIuL8Thc3rfVyx4jSO4icc879AyCNjj533GD/XjE5dwZiVkQ9q4hSYwZ/PZvaicdLimjHY0TB4KmEKq6sxr54ZixXRZvlDYroKn0jhrIiCrLBudKlk3Y7OPfvhYoo1SRXSsaLfRh2v2oWt/XD8Ay37KWqF1H+MaKMF5uRT1WKKHPOyddbuYjK30r4i1BEAHWGIgKo7K9dR2RlF9GlGRsz6BlrJJQUkV9NF8+9jihZKZtd/9c8RuRMei9eRDnz32meBZvlbY4RfS8eMLGgO5PodOxc68JXaXjt+GfE/aVjRM6kt32MiHN3+r3ZO5Nah7pdtJSlNKToJhY7FRE3lUZLudq6Hizzxb7oMaJgznOFfX9GEZW/lfAXoYgA6gxFBFDZX7vXnDsdMFKpG9yc1/8r6wV/TfZMcBHRC95rrsMS95oz9RPN5NydyYyIvulLzp0rRYh2/YNrfoLriNzboX8d0fiUiCi8UuU51xEt9cPwzw/Drv+j/VvOV5b+7QWKKJp/cNUHd6xBT9/5DhC5m6VwC2wVUdXriDL7JLigxf8IOTNNGW3vhfeGDy7nnD+Y2iGTZy6fK+ybvvSHuh5KX/1PhWMctfXr0jWmJhlfxNIOWlLRdUScc87nWouou5ln5lKbG1W791PlkO1QRNwZddj2veayX6ylHaSuIyp6+VsPZs15NZX3OsYt5/5/Qces4nVE2W+lMxAp/yXDS0ERAdQZigigsucUEecFv4+I85Wl95uk7ncGmtxvM5W1L6dOYsxNz7hziRX+PqJpunzKfh/Rld4Lfx9R86DdDW9KNj0Xm0RETVFVuptd/+17zdmcb34BJRFT5iVFFBfe/y37XnPOlX+rNLZ/LPW+ERHJu9ZL0b3mhuddf/7+764Zpg+RFdzRO3+z5G+Bv1NEnD9Y+mkwGeFEGd+mDpKYColidAezkZ2Y/57QVQ0tOEbE3StN3CMi1h2lb7aWd1lLcpGSe82FE/ZPnIs/krXU7Vj6xoia4qk+/LXLMSLO/Y9x+vcRZb/YaKX+vebcwpcf25hF95pz53r4QdUMVZRm2+9FQRFlv5UooteBIgKoMxQRQGU7FNGzuPdLczGdLpZO0e+9eYKSIvoY7oe97PvCQZ539+tuNjfd/sRWtn4U3VUPPgAUEUCdoYgAKsssIlJzDwq9A/EjSB+xiJzhSXhHN2oKJ8rweutaEcj13ooofgPuz8b6FR1l7eYeIoN3CUUEUGcoIoDKUkUEAAAfHYoIoM5QRACVxYto+nuKL3zh6/1/veGuNnwIKCKAOkMRAVSWKqK3ng4AlEARQSkUEUCdoYgAKkMRAXwsKCIohSICqDMUEUBlKCKAjwVFBKVQRAB1hiICqAxFBPCxoIigFIoIoM5QRACV5RXR+o/UHrnPGfn5I1RYCx93SFtmfX/9uNtAyRHKht1tVi8gnH/mTJ46PfjQUERQCkUEUGcoIoDKcoro0frR0u+eM/DzR6iyluw2cIx/mXaz20iJEYqH3XlWz1U2fxRRLaGIoBSKCKDOUEQAleUU0VLbe+au9vNHqLKW7DZYakRPKqLiYXee1XOVzR9FVEsoIiiFIgKoMxQRQGXZRXSnt35Yj55n94Wfi+i0s/X0VByuPM/z1jd6779NIqLGvvjDdD3P4+POsWb8aDNiP2+iEdbmWdtfxHu0ZCI5GM0d/iuZ6+d8NzFPj4879HP8Rxb3iBr73YH96PHxMfm0m+QT9kT5j+vG/ux5ybpIDBs+uJrKR/uMiP2nq9/4q/ce74zufxhRU7wY6sdhvUSLe16wlkY7WIuXs/Uynrk9/8Kz5nafHnxwKCIohSICqDMUEUBlmUXEJx3pz9rzPG81FE+nwf519Of1tNfojlee53mPq2GHmBacYMa6Ezc1wvqP1Jlwz/O8O71F1Orb/lDtM3P9vO8m5snHHaLOwFl7nrcadxv+SWuxYyyxJ6wXP1sN1h25j8GfNdtL1EVyWG3ped6j9bMh/PzDPc97XI27DUG/87y1KTU6xsPa8zx30mXhujaLRxtqNe5QWHGZWy/zmen55xdRlenBR4ciglIoIoA6QxEBVJZVRGvzrOPvssePCyWPF0Xc8XF0EKM75V56hPW0dzzmnueO2tJoKP07dD2PTzq92fq5342vJbF2HkwpXRThE3isOqKo2CRHalht6XmPC5mOxzx6zaM2u7DXfyQKjwV5nq3/469rs/j6j0RhvOUItl7OM3ctoirTgw8PRQSlUEQAdYYiAqgso4geLfkf3Q6f8Lj42Rm5nmfr/93skT/y5Xig6z967X/32fZpXYkR1tNT/xS4znjljo8lc83Hx73wwNMzvhtfSyIY8ooofELmn2PHW7aH5ZMOXWx6xP9r8sFwpbHFU0tFtrdezjN3LaIK04OPD0UEpVBEAHWGIgKoLKOIbrRmYu/c1o/05eKn0A8b504XGqI2s5YPfP0YP0YU7rInR1jPevJs6neC3W/Jk3EvdkDj6d+Nr+UFiyhr2MyDMHzWjR2EcYf/knaTWDz7yE/W1vsbx4iypwcfH4oISqGIAOoMRQRQ2XYR2f2WnDw7zu6Lwn87wU0OPI/PunQ8dD3P89b2qMv8ex7EdtnTI/Bx979C63+Wnuc9LuTWP63g6qDnfTexluwisvV/6GfFIsoedutCHe3uMfNCncTi0dVBj8uf/wT3487eelnPzJ1/bONUnR58AigiKIUiAqgzFBFAZVtFFLuTWyR+fwXP8x5t42SfEdGeKE/s6f+w5C8z3R6Bj48pvNmAKZEYxdUzvptcS3YRPdr9NiOS/qx3LqLcYR8fxgU3c+sMpsYxaTfp175eaLHb3+VvvcxnZs8/dv5b5el58AmgiKAUigigzlBEAJXl/D4iqMrW/2knW+5deefTgwpQRFAKRQRQZygigMpQRE93p7F/flr+bbr/yK3Y7SjehXc+PXgqFBGUQhEB1BmKCKAyFNEzPNqDnrBHRGz/SJ6u3no6ae98evBEKCIohSICqDMUEUBlKCKAjwVFBKVQRAB1hiICqAxFBPCxoIigFIoIoM5QRACVpYoIX/jC1/v/esNdbfgQUEQAdYYiAqgsXkQAAPAJoIgA6gxFBFAZiggA4JNBEQHUGYoIoLJUETm/RVKJVBJ/O2/1b/nHZCoqkUqkKuZbTwUAag5FBFBnKCKAyraLKNVCzkLrqk1SiVShezlcroKHjT4pi82zpoN257dd+G+0Y/T9Zgi/Lk1+b4jhX5XF9rA5C2ZUR9bgRfM3FTWxIue3SH3D2QwlGvfh9+4NMfEt/6sp/Orpi1Q3mgqKCADeGooIoM5QRACVFReRM+uwC3l853LO+cqZjkR2oVmcJ9PFNS/bncnSLfk3OrN2OOemssmP3CLKWrD8OfnzLy4iUbkU2WAavKJkEQVL/Z/r3Bi9C5bsQBQRALw9FBFAnaGIACorLCJLU1vadeL7Rp96MyfeBvbvTvvSjOWQqWSfdPf6RVQw/5IiMu5MRRX1O855ThH57gwxelrwWlBEAPDGUEQAdYYiAqisqIju9LaqWMl/aO3fIl2aURvYs57YHybPlns3RVQ0/7IiuufOrMv6Y4cXFhF3xn3qzKIXiyICgLeHIgKoMxQRQGVFRbRQwkhIPIEGU9c/2HKpCGpLXpSdLhcumrzUJyqHnYqo4nVEilky//Ii4tzSLlradXERcfMynn8oIgB4eygigDpDEQFU9pxjRKxvLBeKoHaMO76Dd3WMyMooouBmDFERcXcusb7h4BgRAHwoKCKAOkMRAVRWeB2Rqex2HRG7UMxV6b/Rr38dUdH8h32SY8+3J202ssLnRPOx9V9Mnui5RXRviGp3+BBfI4oIAN4YigigzlBEAJW90L3mBNY3wquJ3s11REXz90+T063/5Zxz927YUwXtJhpqc+ttd6G0VMYyigj3mgOAdwpFBFBnKCKAyl7o9xHZRp8JwR3nqhRR1u8j2vq1QrteR5RZTTnz55w71qTnr72pdrXNbxZKFFGwdvw+IgD4OFBEAHWGIgKorLSIoAoUEQC8PRQRQJ2hiAAq2y4i/xgIuqgiU8k9fgUA8KpQRAB1hiICqCxVRAAA8NGhiADqDEUEUBmKCADgk0ERAdQZigigMhQRAMAngyICqDMUEUBlKCIAgE8GRQRQZygigMpQRAAAnwyKCKDOUEQAlaGIAAA+GRQRQJ2hiAAqQxEBAHwyKCKAOkMRAVSGIgIA+GRQRAB1hiICqAxFBADwyaCIAOoMRQRQGYoIAOCTQREB1BmKCKAyFBEAwCeDIgKoMxQRQGUoIgCATwZFBFBnKCKAylBEAACfDIoIoM5QRACVoYgAAD4ZFBFAnaGIACpDEQEAfDIoIoA6QxEBVPaRi8hUiIhIuSr487vyyhMzFVLM11nVM92OpcMmEYkD562n8oJeYfubConG/d8Y1p95hZfgDMQ3evuevhGy5hwb7SN/LFFEAHWGIgKoLF1Eq+XwvNv+woiIiO1/a3dV0+Gcc8c4IiKiRm/84D/V37/3d5ii78rTVTCS3RdpEwDhEwJN4UQZ327/O55uBmcgEhEdGfE5hN/dpYhSi5Ryp98ZEbHzzX6gM+kRER3q9o5j5PpLRRQMmyIOxk/dI3/llHLGpy15lrXT+bA0zsT9BhER+9Luno/tFQ/f09hO8L0hxj8hiXfK1g+3PqVEtCeEH+y/530W6S6z+htFFP8/QFM40cyHHSf8FxXOOf9j+RGgiADqDEUEUFmyiCztgIgEJdgPcO2Z3j0bJoqIiJ1NXc6zi4ioO3KCob7SdhH5MeDM5FYyn0KViqhowVDVIuL8SmFE1Ih2BJ3xKRGR2H92EP11jnEUf6VP3iN/5V15S2lkrs7WD1mnbwWfxYflWFWG95xzxzgSlXMx/BymiqgtHjblWfAddyY3Gyz+KQ22z8NSP2aCav3N14UiSnw/9uF0pucCnY7fvDYK55z3sfwYUEQAdYYiAqgsUURzhRERyVn7AfEf8bbkKzeviPyf0LszmYUPZB2r8Zdlyjy1loIiSh1lIuWq9BhRehHpXNNUTb8K9oHsiaapmjF3k3PwW46Fu87jHsWOSMSOWjQPe3qwbLDG3i9DOmz6/ebM9d7hPguPSEgTJ/3qHkz91B+K7R9KxrWTMRSx/RPD3nSjqRSdw7NdRPLwSuseNIlY+2y8SboHSz8RmkS0J0qTdOmZ55stJg4cdyY3v0+jbWT3RbFv+4MbM63zhRE1xWjwwpH9V60d7zMi9qWjXTnJ1SXPfbo3ROqN083sv0zRuDWVr6J+Gz5zU0SiMdJaJ0HGD08ETZUziohzfiWHpR3IeaUZc06lQs6Odd72d8ZnQpOIiNiXjv8RckbdVizPYqsu3p7xdMl+r+2RJH5hRGz/sKfP3dSbmzmZ7CLKnMmDpQdbRuwctnYuIs6vFPqqWTuN3Oke+yPnbfPERhhf+//hiMb90+YcjJb3sXzpD0ne9t/hhRRCEQHUGYoIoLJEEd3qYvBvs9j7rhsTy9nsjwanKul9iRHRgWKtMoqoe9IlamlzZ3hCdNLtlhRRW0+fOPd3z5oLOi3YXfbLpzvcOnvHUlsUnjgXnDIXLXJARKJ+y/nDWGpE5xAmz1s7Mhx/S36Vp4nBYxNbWUo0VHhoTptvntObOJw7wxMios7IiY9QpYiEXt90VpxzZ3zGehN/QVs/DA8DPljaoZj1LsR/Om5pX6OtFP3ZVEjoDfwDOLZxzMS+vcPIlnYgyP40HqbKQfSSM38Yv9QPWPu7Yd06yWZ1jCPRuOfOqMv84wypIrq3dX/Vt7p4MnSulMwicmcSHQ+TmzLzlZbPOb+IMrd/7JXMNdE/ELGaynvRIdNw/hXeqZx13erikW6vOOeuc6Vro3RXZE8mo4gyZ2Lrh+GW4a71q71rEa2c8VkrPECXO3J4pNox1fbORdTs/opOhnzanEuPj73shyS2gRLbv/SFlEARAdQZigigsuRZc671S2zGd+5J6AU/kowu3nCGx4yIBFWTt4pImU3lBrEjUSTqTcZ5ZeJMpBYRS++P8r9/HZGpNMIf+l4pjIjFfty7Mdda5J84F5wy558K6M4kIgp3o4ORe7GDP9HJWsHRtoYoD8axHfrNxIKhwmMUdr9NROzcSm2B4AfV57ueuFRw1txmh2yutc42rzrn4vLEvmD0g3B3JoU/IE8+50qm46FTOvJcax0Z0Y+43ZnUUq2iU7MeTP1UFPaIiJoHXWW0dIOX6f/Y3tIOWtp8u4iCQy6WKsgzl2cW0YOlH2UkSsYr3WHO+UVU+hw7fC3u9DuT/M/PPDzGVeGdyn+vD+TxrZu1yLZoMlvDZs5krrViZ75VuY5ov9tfBk+tMPIuRRR7aU+cc/kZgy/6IUkMvLX9819IGRQRQJ2hiAAqy7jX3MqxJob+vScG91eQpqnL2cNDSbRdRFfBARZqyNNVRpkEGvvimbHMOCEqp4iSEfKcOyv40xP7y+l3RtTS0qftBc8KTpybDHtERMHNJILJJIX7aom1cO5Y/WgDEjXa2tyNPy1ZeuFfz6buKxTRVfpGDKVFxB+G3a+axW39MNpiqSJS6MhwSkf2nxb/67m508UqK8e+0jsNJs/cWBFxdyaxI8PZKiK+msp7zeaBZgWvN31uJ/siSoNlRgxvv9Id5ly1iJwrXTpptw/8Hz6EJ2WFIWSprSDVKrxTeetylwP/rLnoZgbprZ01ma1hM2cSbIrijbD5fvThtFSBHYf9UGHkikX0xDnvcA3VS35Iird//gspgyICqDMUEUBlRXffvjVEorAHEjf4slQh/Nc5XUT+AZbwR6TRzv2OdziwlEbiaUEqBDsxL3GvOT/nDkWRim4fFxy0aTAiP1Q455sDO1tLFdxEzrV+tcOX8G6OEX0vHnB7X9Cdfm/2zqTWZoslnuPOJDodO6UjJ3+U7kx6JceIUtM6Dy59iYrIv/uC3NfTRcS5pbaCCzxyzprLsfVKs+dsKQ0pui9ItSK61oWv0vDacVY8+Vos7auo35pKdPpchXeqdOfbsX6J4QcstrWzJ5N1jGh7JnOFVTh2Ed/4tnHc7Azs3NeYPXLeNs8/RvSUOe9yV4mX+5CUbP/8F1IGRQRQZygigMoSRXSlieeGGZzl5dqDDiMSzs3wVKVNEfGVqXzNKaKNJxRRcPPr8IZ1/l+js5tSt33bqYi27hTn346ZYmvJEjsOJkXnwgUX/0TXITjWoKeX/AYkZ3zGiEj4tcy/jmipH0Z/Li6iqtcRZe4lB9c8+O+yM9OU9HZwjKO2fp18bK61ElvMVKg3fHA55/zB1A79ozelI1vaQUva8Tqi+6FybpjhGV/OXO80/I9fvCK4e6W0GoxtFdH/b+/eXRtX/jaAf/8EFS5cpNjAr4hhiwi2WMM2FrgxpDGkMaQyKRZzquUURl0QKRaRSqQy6ezigF0YdAqDtlnwFgFtEZA7uZziLVK61FtIsnUZXSYbOznW88HFRtZlNB6fM49nJO2IJaL0mXLLvLs1s/s0VVuSQCJaqNJnfekv/Dnqn+0KbN8pSluJXLhfWJ+Fs+Z0dRLMT3MeetLQSn64/MKkd8srydpUzzvGo5uoBOdeIc4HGq/8p1GnJqvzjDbD33NWnWdlGIEyF1Zp0ms1koL6zz6RIkhEAFWGRAQgLH5nhXH/sulftkHhlRvh/3uTD4FxZ33p9RMRY2tLb9epdtq51gaXTYmk5tfp7v//4TMTiSR1USYRJTZhjDHnoUvEvfd3VBicEqutlqNhN6yiutzujVIxhjHmTPrhM51I+qD0gouk46vl3mtun4mIsZWlX/kXjPkPhkpOH3PnmnJCRNKuzxfMFIruXFG29796sEvuufCWXDtre3zTU4LZRH4VueFpRmOPY7SjV5r9cSJKnim3zIw9jvufJaK6cqWPvgvNmnOmQ6VO/jORDC1a4EddSczkLKjPokT0NFX9z4jq23mq8Q+XWxjebnklcRd6cLPBSCWUSkSMuXNVPhuY64w9/9S7/i3yLjTjJjwdfp1nZ5jSZS6s0qRXayT59Z93IvmQiACqDIkIQFjerLm34z4tzdl0Ol86eaHlhfxLiRr7fRbNsdndZThQdqrbf07qTOGNlbyXwCG9/0aCRARQZUhEAMLeW+u/zgAAH51JREFUZyLao/W0X9tOUYOSoncc9h1rIkqfKbyx95eI/gONBIkIoMqQiACEVS4RAQAcOyQigCpDIgIQhkQEAHBkkIgAqgyJCEAYEhEAwJFBIgKoMiQiAGEvTUSmSqmbekE5L7ouwlTDe+XlrvNur+15Ydm4dVW+At/fJSjvBL6/Rw6JCKDKkIgAhL3lGNFqaVz7t58m6UOzOxzbwWMKY7f5Zk9G5Pmbiceq+vfIjt0BnIJb2ZolO8LOz5Ea3DY3chfpfXpRNz3j6Y0xSESlNn8nDW//Xqs9cE8wdSvzuUrR6nqPFVIhSEQAVYZEBCDs7RKRrbekzp0VPIp1tRzfqKPw+ZvqUNk9Wj7WMW0qrfogfGSqOxvUaxLnaTOrpX4hyaXur+0YbbnnB6FHo1OTk08m3YOXJqLOCIkoe2Hpzd9JwzuA10xEqRMsSETvskIqBIkIoMqQiACExRNR5jM97Ye+4j8wsdXTF278OYaD0VzrnteJpOb1ePc7+srSw0cWdi8ayY7pk6FQb8x53JBjtBXj0VTPwhtkxzqmivGgNS5H/p+jS1m7GfCfvzkfhP2zcL8P3egziMInijjT2bbIjtGmzu6ZpKYWPoG0d2cln4nIf9LoYPzT6LfqlJ6StKsNpdMKayNjJ/z69N8e0hbv4ZLcbZ3xtRw86PRDR1+42bXB2MrSt89dnfBGzDgrmCr19Hu/hdSVG9Oe671WnUg6vRyFuzBVGhgzLXg45rZs3MPx6ypjYcnNtw7e8Fje14ex2BeNW0tZVVfQAr/9ld9Uir6/sZpJn2C5RJRRIbBvSEQAVYZEBCCsVCJ61JW2bq8ZY64z17UHJ96jknt3prNmjDnja6k38Ts/jtGWB/6/145500z1yZb6udT8aliPTjxsBNPDnIeudDV2WKpj+mTrLUV/ZOxRVy5HzlzldkzdWZ8uRrFDrqeDk8E06AqHO4mxtLOGttiuIHXubZcxtrKM72MnseZ5eHarqXouawu/Kurd79w5QrbeCtdnrvXdr42snXDrcyt/jCh/W+YsNKWmmpm1YestWZ0FYUPjVBF3BVMluXfvj7os9c8kXxnLFWPMmX5thGWIruOMriTlzs7YG7euMheW2zzq4A0v7+vDWDIRbWvJNi78WuIuLNMCywwnFreZjBMsm4g4FQL7h0QEUGVIRADCSiWihdY4H4wfXd6a2Ztc7VJExuUcpn6lyCdERPXzrvqwdBmLXDBjaecNbZHumAbjG9aNPJi5jNsxXVl6O923c6dfpb4/8Wmx/b1/9645lHczphZa40zLnOuz0BptY/trujvrN26svA4otzZK7IRXb2VnzWVMLbPD6uXVxkJrbGuAuwf+CrHjmsNdbzje148Uez6gi5HD3VtWXXEXltw84cANL+/rU6KWsqquuAWWTESFbYZ7gpGLhbY4s+a430TYOyQigCpDIgIQVm7WnLsM50TJl5q5YsU9qrlKw11nrODCj7Vjz/VOTRrM3EjHlLmzvtQ2nFTHlK2ng5N6/Vyz/AOlLnCXPij9+2Vynhvbdf2tm0ail2bfd+oXuy5m5AdvnsS7wclmd0C5tVFiJ6+ViJy53r9sNs/9qXPhjL50bczVRBc3eXT+Ci9IRCq1DYe7t6y64i4suXmWAzW8nK9PiVrKqrriFviaiSh1gqXurJD5TYQ9QyICqDIkIgBh8URkqbV+OJOK2z1yrO+KNLRKjBGp0tfSHVPGGGPm0O9e7zqm/tS1wZ2e7JgyZt00guteMiYvZbC0M0V/NNXdhDHGmGvdKKeXRuwKCpExImfSKxojUiXuaEbRTl4nEf3U5bP+6KfjBHdU21ZvqjYWWuNrxr5ZzgrCicid9elq7HD3xq+rjAosuXmugzS8oDjh1yfri8arpayqK26BexgjylmYdR0RvAUkIoAqQyICEBZPRM74qjGYOYwx92mqtqQw3ujqZBlcHvTQK5WI1tPBScd4ZIwx98nUL6RkT+tppA4NM5xK5Cz0Ts3vdEY7psydq42aJKU6pjuCHVP7TlHaSv3rttPsTL/K8tdpqhtoaef51xE1+pyrODI6oGtTPe8Yjy6LVWzxTrih1Gg3M26Il51OP+tLf+HPUf9sV4ep2giuTnEZY8x1Zpr6kDg6d4WSiahrPLmMBTOpBjOXvzduXWVWYLnNow7f8Dhfn4wvGjNV6o1Wfi2ZWsuvJe7CMi2wTFM5XCJy7hXKTGjwypCIAKoMiQhAWPLu24/j/meJqK5c6aPvYffoaar6d/SiunJtLNesTI/KXegd//5aF5pxo/Rn8bkza3t801OCeVzSaatv/PRXSPQ+HaMdvT7hTxMRe9QV2t4+wS8/91qI3b28RO41l9nhC2sjXrFFO+H2UN25ppwQkdRNxpWsbZ3pUKmT/3AYQ4vWYbI2GFtZ+pXif9bypRq/+iVrhZKJSOn6G55EnvvEOxy3rjIqsOzmO4dveJyvT8YXjZkqKcr27nkPdvbCUi2wRFNBIjpOSEQAVYZEBCDsEM8jWtt6uzta7f04AP9x3FD9nh8zBe8UEhFAlSERAQjbXyKyvgfPwKmfd8PfsAEgBxIRvA4kIoAqQyICEHaIMSIAADggJCKAKkMiAhCWSETTf6Z47fv1Vp0kAKgIJCKAKkMiAhAWTUTTf6ZvXZxKQCgCgL1CIgKoMiQiAGFIRIeHRAQAe4VEBFBlSEQAwpCIDg+JCAD2CokIoMqQiACE5SaipUYk39qb3RI2viDt1+7dpIsx87zlbfoNottl8tgbZ/yXclojIqp/6um/nssd19bbfeMH28R2xaz7vnI1ZZyC1eUrffnscfyKrtgZM5GK+wNIRACwV0hEAFWGRAQgrDARESmj9XZJMhGF/+Zb3lJnkpUzns1rqXNv+1Fls572P8ra70254zabX3rTSMjZ/Bg0Pjb8PJYq2LNz36GraToTsUmnM3HzTmA/kIgAYK+QiACqDIkIQFhhIupcdOhiHOaGV0xESy0+LONOOuE4UuFxO6OHQW+2zTjP5nVfv+tkJCLPezb71DdTkci+lb7llv8Fml+a0fGp5pdmeh0kIgDYKyQigCpDIgIQVpiItF+2/knq/+vniVdMRI7xiZRby92k3yo8bmf82+xfhHnqedq7mtoT0UTEppfNyDBU0ubHQPqkLTee53mbX5r88duSU9Qk64cVTUTWDyu9DhIRAOwVEhFAlSERAQgrkYi8zW9Nrg2sjVd4HVEiIOUmIs9bm4MvEhHVP3X6d+PlbsXC43bG7Hl6FQwxPc96nQljmYno2bqVpWvOEJFWa3avlDoRnSiDf9PT5zbWX5J8u9xsrEFN1n6VyEOe50WGibgDRB4SEQDsGRIRQJUhEQEIK5OIPG+z/LvR+Hu5ec0xosBmbZsTvd8+lajem7Fyx+2MmccmHeXB9Tw2vlBGay+RiHZqp8pfYycdZ57NPsn67+CP6fX239HCWYOa3PwiybdlxocC22Ei7gCRh0QEAHuGRARQZUhEAMLKJSLPezb7NVn/7f5JImKTznYwKXXjOc+ddOijbpc6bmfMPI+NO+2Rux4pX0aul0xE+QVLcyedxp2dXu7cy8S7Bilf80sza4DIQyICgD1DIgKoMiQiAGFlE5HnsVlXag8GrzVG9OsbfRnFZqqtx52alkxE/OP68+XcUVv59nen+eB6f56IHpr+fmLW425N6V3Jjb8Fxog8z7N+WFkDRB4SEQDsGRIRQJUhEQEIK5+IPM8dX0QvFvqzRLSxtU+ScmsFzxXaMPNvWQ5GaQqPG1xB5D40iRr+bDfhRLQy5I/frGDwxx1dpJ9H5I4vpO7E9TZL7VPjW+nriAohEQHAXiERAVQZEhGAMJFE5Hm/dZny7qyQmA5XcB3RszP+qyOfEBFJ/1MGEyecm1Z43DC9rEfNYKLdS8aInn/p3f/5t3boGb+TN7Wz72TpMrj99+bXt0a5e82VgUQEAHuFRARQZUhEAMJyExHsBRIRAOwVEhFAlSERAQhDIjo8JCIA2CskIoAqQyICEIZEdHhIRACwV0hEAFWGRAQgDIno8JCIAGCvkIgAqgyJCEBYNBExxqb/TPHa72s2ff6/57fqJwFAFSARAVQZEhGAsEQiAgCA/zokIoAqQyICEIZEBABwZJCIAKoMiQhAGBIRAMCRQSICqDIkIgBhSEQAAEcGiQigypCIAIQhEQEAHBkkIoAqQyICEIZEBABwZJCIAKoMiQhAGBIRAMCRQSICqDIkIgBhSEQAAEcGiQigypCIAIQhEQEAHBkkIoAqQyICEIZEBABwZJCIAKoMiQhAGBIRAMCRQSICqDIkIgBhSEQAAEcGiQigypCIAIQhEQEAHBkkIoAqQyICEIZEBABwZJCIAKoMiQhA2H8nEZkqERGp89faSda/35UDF8xUSTUPc6i8MijG0x52/Djut+pEpNw7e9j7nytT+e/hA0o7QKn21Cq2JRc4Bedeea9NaAeJCKDKkIgAhMUTkWO0KUI6bfX0hSP21omsXOnjR5e31dYL+k9Z2SC53LlXiIjahhMpQPhumUSU2KSQO/0qEZE03J2TM+kREbV0W/g0C87ulQS7TVDux++yw/0qnPFVYzBLd2SjTbQuX2rmSmR5u6cH+8yq0vJdZ26nPLFQKHscLD79d3MaEhEAHCEkIgBh3EQU9L8fdYWIar3xSuAt92k8OCciWZ27kT3/ec/+VRJRmR2KJiLG5qpERLVtj8oZXxERKXd/HIj2zjHa0TN9n13bV2GpNe6pRWvAmQ5luho7ZZe7zsLonUudeztjh0KQiF4XEhEAVBQSEYCwvESUN3KSO6jyU28S0Zlm7fbMix8rU79STmtEJJ22+sZPJ3f5CxJRcoRKnReOESU36Q817UbT50HZ7Imm3WjGwo2XwdLOiEgKyrAa94hoO8lntTSu/dOhequnB9sGR+x9N/qtup/fnIXea51K/oFP5P7ESZ5dbs0EuyLp9NKw17H6ye7ApRPRYDTXuud1Iql5Pd719FeWfinXiehE6U+SSc956DZudp+2facEaZCzlanSYPzTL6piPDH7oa98kMJRRzfWN12Z2sWpRCR96Gjz7clmlDAqtaE53A3bxCdfxWtgrobtttxyxtijoZCiP2ZVKfcssk4t2SmPFNv/ELNO3xlfy3UiIpI+dPw2ltp2x50N6l+n20Yc+bwKSpURBgRKJdJUEofYRhd+A0g0pNTpcwrDT0TckqwsPagZpdNqIBEBwHuGRAQgLCcROXNV3vUgy77FGGPMUmtE1NAW2yWpPLO21HOioCtpaedEJGuL7OVvNGvOnQ0kIrocOYyFyac7WiX7H9ZNg8KJc8GUue0m29NZjfu17cBafJJV23D8YbezwTS280jBimqmN3EYc0aXRESdBye6B5FEJPfuTGfNGHPG11Jv4m9o6y1Z9aeHrSytFQ0A/qc5HZwMpkEMs/VgBe5Wpkr17nczKNCjrrR1e80Yc525rj04kb6ppZ3LA78Aq6l6vj1Zbgljn0bGhkVjRGtnfN2Qg/56ieXhHsZX0QpPrMAtTPkSpseICk7fWWhKrXDcw9LOts14++/iUmUnotKlEmgq3HrIOFZeQ0riVdH2H9yS2HorrBnmWt+bSEQA8J4hEQEIy72OiIjq3Qe75FuRXmB6STK3uLN+JLcw+65JRNLQylr+dtcRmWotzH5zVSKSIj+u7yy0BvkT54Ipc90HZ3eaF6NoYXqRwZ/BLNzZwp96pwzux9ajEy7dFaxkzQQ/jQ/LzgDKmTW36/4utMb17qx53WJ3+lXq++ey0Bp+GuRvFe+nLrTG+SC86ixehoXWaBvbEQB31m/cWKU66CU2TNRA6LR7t3RKLE80QnMYzZzxFbiFEShh3qy5jHxiG23/p4q8mWDbwRl31g/Gi15c4WKlKt9UuIfIbqJZDYl39qkqirS6dEkWWiOYM5lzgu8LEhFAlSERAQjLGCOyjQvJ73/bAm9t91M8RhTPLeGf11M7Y7krmojiIeRP7qzgj/8od8vpVyl+UlHhxLnJqEdE5A8EhYWJC4NB4nQc666nfAgmzVGtqQVTyILVsmrMPUAimifvGsDPIZcjhzHrphH8bM/fKtFPdZf3/mSn7d0LwhXm6vZkg70NzVKd7xIbcmvAupGli1irzl++3UPeGBG3MAIlLJuInLnev2w2z/15YcWJiK1G3TPNYrbeCpv0iytcrFTlmwr3EFnHym5I25XzqijS6tIlCaoivxLeFyQigCpDIgIQljlr7mnUqRERyUPTLf+Wz58Adp53HdHrjRH56SuViIIezGvca84/nZaiUN7t44Ki1qQwqMROM7VVzq0mXOt7MzyFdzNG9LVwh5Z2puiPprqdE8XfKjOZWN+V8HQ4Y0TOpPeyMSLuhtHjRmrANi7q4W0SyixnjDH2ZCixiZR5Y0RBYQRKWC4R/dTls/7op+PPJSszRsSYO/1a7133G9smzS+Vpdb64SQ3wUTELxUr3VS4hyhsAKmG5CuookirS5dkoUoFQ1jvDhIRQJUhEQEIy7mOyJ31JaLwrnGl3yp5r7nYVTFLvRX+O2t5ZoQIbn7dDX6k9//cXsmQuO1bqUSUulOcrbeCH4y7D9k9IT84ERFRfzsXLjid7UUIjnXf0wuegOSMryUikr8vs68jyqyZVCISvY6I290MrjBxGWPMdWaayqsH+05R2krkkn3uVolZc7o6CSakOQ+9eEfW0s4b/Zdc1lK8YWYNPI06tV2rLlpe5l5z3MKUL6FjtJv6z+2fWZFVlT7rS3/hz1H/bHuBX3TblIXWiDVpbql2dy13n6ZqSxJIRPxSMVa2qXAPkXWsdEOKnz6/MOnd8kqyNtXzjvHoJirBuVde9CCBQ0AiAqgyJCIAYbn3mnPNoUxEVOsYj8VvBU5k5UqfJp+lyAsAr3OvOcbWlt6uU+20c60NLpsSSc2v011/KnwuJ5GkLsokosQmjDHmPHSJiGrbK8K5wuCUWG21HA278olfO3W53RvxAp4z6TfDKXPSB6UX3HsgvlqJmtlPImJsZelXSt0/hUs1fsHGtqp1JTGrkLNVvN//NFX9+3pRXbk2lut4GV5467Oyd3Lj1QBz56p8NjDXectD0ecRZe7wT+41xxhz55pyQkRSN5UnI6fvTIdKnYhO5O6NoYWjMfFt07XkT5wrKurjuP9ZIqorV/rou9CsOX6pGCvZVLiHyDgWpyElTp9bGN5ueSVxF3rnQ7ISkIgA4H1CIgIQFk9E/2Hu09KcTafzpZMXWl7Iv5QoetdggP+63Z2v4eggEQFUGRIRgLCjSUR7tJ72a9spagDHIXoDbjg2SEQAVYZEBCAMiQgA4MggEQFUGRIRgLBEIpr+M8XrFV9v1R8CgCpDIgKoMiQiAGHRRDT9Z/rWxTk2CEUAcHhIRABVhkQEIAyJaK+QiADg8JCIAKoMiQhAGBLRXiERAcDhIREBVBkSEYCw3ES01Cim/qln/N685N0TuXdrutv3bonjdilQbjbukJa5wXrcuRgz3jub30bvU52I6u2BuRY44MsgEQHA4SERAVQZEhGAsMJEpP3a/rlh/w4aH7XlRvzdDTP/lqXLaSKlLG+pM+EmlyI5iWht9j8RcRPRs9mvdUbrjed5zz++NT4ZzkuOLQCJCAAOD4kIoMqQiACEiSQiz/Pc0RdJ+/2yd239Y0P/HT/Aayei5x9a86T57e8ePxHFWN+om4xoIppfmtEhruaXZnodJCIAODwkIoAqQyICECaYiGz9Y37myXnXs+8azQc3uoSTiNbTQftUIpL+19V/PWcuzEpEv5fOs+f90ooS0caddOupMavNj4H0KRjm2vzS5I/flhve1p7neZ71w4omIuuHlV4HiQgADg+JCKDKkIgAhAnNmnMnXemTbr/kXc/zPDbpJC4WSiaijfWtJn/7l3met1mPuzVZ/52xMP86ooJEtNQ+yXWSv/14Tr21sf6S5NvlZmMNarL2KzsPeZ4XGSbiDhB5SEQA8BaQiACqDIkIQJjInRWk09jdCIrfFU1Emx+DaJJxH5rSrc1d+GeJyPM8z3u2vn2Utd+pzLOxBjW5+UWSb3PGhwLbYSLuAJGHRAQAbwGJCKDKkIgAhJUdI3peal9OO/f25gXvhuxbKX/WXCIy+X9yF75CIvI8+64h3drp5c69TNQ30wNIPM0vzawBIg+JCADeAhIRQJUhEQEIE5g1tx53a1L/3+eXvOt5Ze6scNAxIt51TeGJKL0rufF38RiR53nWDytrgMhDIgKAt4BEBFBlSEQAwoTurPD8b1+qbQdPRN7duObfsnSdHHcpvI5I+73hL3xZIlqPlNogKMTzUvuSvtecO76QuhPX2yy1T41vRdcRFUIiAoDDQyICqDIkIgBhgveaezavpTDYFL+7u8bof83e3TI9DS19r7nNapy+1xxnoUAiYuOLXTmff+nhE1r7o+Aiot0K9p0sXY79YaPNr2+N3HvNlYFEBACHh0QEUGVIRADCchMR/CkkIgA4PCQigCpDIgIQhkS0V0hEAHB4SEQAVYZEBCAMiWivkIgA4PCQiACqDIkIQBgS0V4hEQHA4SERAVQZEhGAsGgiYoxN/5ni9Wqv2fT5/57fqksEAJWFRARQZUhEAMISiQgAAP7rkIgAqgyJCEAYEhEAwJFBIgKoMiQiAGFIRAAARwaJCKDKkIgAhCERAQAcGSQigCpDIgIQhkQEAHBkkIgAqgyJCEAYEhEAwJFBIgKoMiQiAGFIRAAARwaJCKDKkIgAhCERAQAcGSQigCpDIgIQhkQEAHBkkIgAqgyJCEAYEhEAwJFBIgKoMiQiAGFIRAAARwaJCKDKkIgAhCERAQAcGSQigCpDIgIQhkQEAHBkkIgAqgyJCEAYEhEAwJFBIgKoMiQiAGFIRHtjqqSawT8U4yl/nZydSOqCmUNS7p3c1bIOUbhCVhlKHjrniNvTzz/HiMdxv1UnetkR31Bh/e/viPn1LFL5h+LcK6/4+b7u3g5+9H19QEhEAFWGRAQgLJ6IHK9NHpFX621Wwf+wPSKP1E24xvNPw2vLHpFHkve5682c5+iGyZe64b5Vog/hzLTueZ2I6ETuDkfL9et2GA6gTF+ncB3HaCvGE7OGUm/ihEsoZviHHaqsMqQP/bLdlu/zOeOrxmD2PrNQ4izeT9JAInq3iehV/gvwQkhEAFWGRAQgjJ+IiLzr6TNjiUS0eeh6RN6FsVkzxpzNUPaIvKH1HPkffLD5PLXPOSvPeehI54Pxk8sYY2tnOlSkc816ce/gbbxOIhpd9MYr5twralCBjtEmVaQyi2QmotShX7bb8n0+S629u+57CIno1SARCa7zEkhEAFWGRAQgLDMRUcObu7FEtJ56NfJI8R53/zvnLCmdiDbDrPEiSztraIvoEsdoU2/iMGaqNBjN/eEjqXk9trerrEztUq4T0YnSu7NcxtjK0sMl/YmdOIY7G9S/Tt3wT/tOUe7sYD8XpxKR9KGjzf2yxXotmX2gZAF4XdXMdRhbmeq5rM5dzp5juIkoeixu/ewOZD/0lQ8SkXTa6ukLN69Ky3LG13KdiIikDx194aaKxOvzperZHG6HvWIz0F7jkzJVGox/Gv1WnVLT21IVwmk5kbKRcu8k/ixR/4ytLD0sbfei4ReMc+jdWfelYfAjgDmUmv4p+wN3j9zqzUpEA2OmdT5IRHVlW57crwavYJyP2HnoNm52P1NEPhfeznenr3RajdQ3KKsJFVYmZ2/7bjC8o3PKn2okmeeY+oC4a5ZqqFtIRABVhkQEIIyXiBTvru8ReefqZh1JRAvVI/LOtM1ufXdzTR6R97DtkbxGInrUmzU1MSJk3ys0NBkzVZJ7d6az9vsN2wldtt6SOve2H4SM72OH2XpLVv0pWCtLayn6Y+IwlnbWHa0S/7a0c3ng73M1Vc9lbcHKJaJ0AdJd1ex11iXjECuRiLj1E67wqCtt3V4zxlxnrmsPTvYmL+EsNKVWpqdeXM+xlf/0kzJVqne/m5wT41QIt+XkjxEV1r9jtMPSrh3zpqncO7xDR6zGvc+67Z9yq9FoGw5jbD3tn/mDpeUTkdy7txzGGHNGV5JyZ2ecYH6d7Ow+4vV0cDKYBtNZbT3YD3fntt4KT5+51vdmzqhOvAllfdnz97bPBlN0dN5XoOgckx8Qb82yDTWARARQZUhEAML4iejJ8S4kj8i70XaJaK56RF7biCSidKrJTkS7l+LlX4M+V8nv/0VLdq/Q9dTN6sEstMZZfFrdQmtc734n5saY7Y/H7qwf/Ki80BptY9slcWf9xo1VKhGlC5DuqmatszbVz81ycYilriPK6xbHe3hhGc4H48foscqNgJVl+1cfFfTUS9RzbKd/+kllz01KVwi/5ZRPRBnt82rsJJZzPovYSeufO6MnxhaacjMKanVXtvKJKLJwPqCLkVP41SgqWPgRu9OvUn/mBptcjpys2uOefqZ0E4pvVWJv+20wBUfnl7/UOv4HxF2zbEMNIBEBVBkSEYCwjETEnh/1+A0SuGNEzubq5WNEmQrGiHg9mHSImqvx+w/wbl+2GnXPNIvZeiucpJfYz1zNO2jicMkUl+qq8tdROhcSRfpqRQrHiPJ7eO7y3p97U5cvNXOVs4kAZ673L5tN/04YZe6BVqKeY/70k8rpm6YqhN9y/iwRBcVLLE9/FjHWUOrPXPtOUefMuVe6D45zryQH/cQSkUptwyn+anAKxvuId0HIumkEBePunH/6MblNqExlxu2vwWQcvbD8pdYJC8lbs2RDDSARAVQZOU82XnjhhRdeeOGFF1544YVXNV8YIwIAAAAAgOr6f32DupVJCzlsAAAAAElFTkSuQmCC" alt="" />

----在httpd中添加cacti目录的配置
[root@node2 app]# cat /etc/httpd/conf.d/cacti.conf
Alias /cacti /var/www/html/
<Directory /var/www/html/>
DirectoryIndex index.php
Options -Indexes
AllowOverride all
order deny,allow
allow from all
AddType application/x-httpd-php .php
php_flag magic_quotes_gpc on
php_flag track_vars on
</Directory>
----如果不添加此配置，登陆页面会报：
/cacti/auth_changepassword.php was not found on this serve

cacti脚本数据采集

脚本对接方式有两种方法，一个是直接将脚本放到script目录里，然后添加相应的数据查询方法、创建数据模板图形模板即可。二个是在每台主机内放置脚本，然后自定义OID，然后创建模板，即可。

优缺点:

优点:支持非SNMP数据源,可以返回多个数据,灵活性强
缺点: 操作相对复杂,会写脚本
步骤:
1.编写脚本
示例:<path_cacti>/scripts/diskfree.sh
2.配置Data Input Methods
input type选择script/Command,
3.配置数据模版
4.配置图形模版
5.图形模版应用

编写脚本:
若你想使用脚本来采集数据,你需要建立数据输入方法(data input method),并保证在输入类型(Input Type field)中选择script/command.
你要定义一个或多个输出字段:
当只有一个输出字段时,输出格式:
<value_1>
Example script output using 1 field
67
多输出字段时:
Example script output using 3 fields
1min:0.40 5min:0.32 10min:0.01

示例:

1.编写脚本

vim my_ip_conn.sh
#!/bin/sh
host=$1
ip_conns=`ssh $host "netstat -an | grep tcp | grep EST | wc -l"`
echo $ip_conns

2.配置Data Input Methods

Console/Data Input Methods/data inputmethod:
填写:
name:zz_ip_conn
Input Type:script/command
Input String: #(指定脚本位置及data source,如ip)
sh <path_cacti>/scripts/my_ip_conn.sh <hostname>
#eg.python <path_cacti>/scripts/python_rrdb_test.py <host> <port>
填写完毕后: 单击Create,继续完成input fields,output的填写
Input Fields :(输入字段)
The Input Fields box is used to define any fields that require information from the user.
若你需要当前主机ip, 你可使用 'management_ip' here and Cacti will fill this field in with the current IP address of the selected host.
输出字段: (和脚本的输出字段名要完全相同)

In
Cacti, I name the output fields '1min', '5min', and '10min',
respectively. Based on these two things, the output of the script should
look like the following:

Example 11-2. Example script output using 3 fields

1min:0.40 5min:0.32 10min:0.01

安装spine可以提升cacti性能和执行速度。在安装spine之前必须已经安装好了net-snmp；使用cmd.php来完成数据采集，发现 cmd.php采集存在很大的延迟，执行效率太低。比较了一下，从添加device好到设备up，spine只需要不到一分钟，而cmd等的时间较长。

Cacti默认轮询器cmd.php执行效率有点低，spine为C语言编写的组件，性能要好许多。

wget http://www.cacti.net/downloads/spine/cacti-spine-0.8.8b.tar.gz

mkdir /usr/local/spine

tar -zxvf cacti-spine-0.8.8b.tar.gz -C /usr/local/spine

cd /usr/local/spine/

yum install gcc

如果mysql是rpm装的，需要安装mysql-devel这个包
configure: error: Cannot find SNMP headers. Use --with-snmp= to specify non-default path.
yum install net-snmp-devel

./configure

make ;make install

cd /usr/local/spine/etc/

cp spine.conf.dist spine.conf

修改数据库名、数据库用户名和密码等信息
vim /usr/local/spine/etc/spine.conf

[root@localhost snmp_queries]# ln -s /usr/local/spine/etc/spine.conf /etc/spine.conf
[root@localhost snmp_queries]# /usr/local/spine/bin/spine
SPINE: Using spine config file [/etc/spine.conf]
SPINE: Version 0.8.8b starting
SPINE: Time: 0.3640 s, Threads: 1, Hosts: 3
[root@localhost snmp_queries]#

设置spine路径，Console——Settings——Paths
cacti设置spine路径
/usr/local/spine/bin/spine
更改cacti轮询器为spine，Console——Settings——Poller
cacti更改轮询器为spine

The minimal steps to create a graph from a script are simply:
    Create a Data Input Method to tell Cacti how to call the script and what to expect from it.
    Create a Data Source to tell cacti how and where the data will be stored.
    Create a Graph to tell cacti how the data will be presented in graph form.
    Add Graph to Graph View so you can view the graph.
    View the Graph

<path_cacti>/scripts/diskfree.sh <partition>

创建平均值时，只需修改“Consolidation Function”和“Text Format”的内容即可。
创建最大值，也是修改“Consolidation Function”和“Text Format”的内容，不过多了一项“Insert Hard Return”，表示插入一个硬回车，这是为了和其它新创建的图形不要重叠显示在一起。

http://www.cnblogs.com/mchina/archive/2013/02/20/2883404.html
/usr/local/nagios/bin/nagios -v /usr/local/nagios/etc/nagios.cfg 验证配文正确性
手工启动
/usr/local/nagios/bin/nagios -d /usr/local/nagios/etc/nagios.cfg
通过脚本启动
# /etc/init.d/nagios start
or
# service nagios start

rrd

3.如何绘制rrd环型数据库中的采集到的数据

rrdtool graph filename [option ...] [data definition ...] [data calculation ...] [variable definition ...] [graph element ...] [print element ...]

filename 要绘制的图片名称

Time range时间范围

[-s|--start time] 启始时间[-e|--end time]结束时间 [-S|--step seconds]步长

Labels

[-t|--title string]图片的标题 [-v|--vertical-label string] Y轴说明

Size

[-w|--width pixels] 显示区的宽度[-h|--height pixels]显示区的高度 [-j|--only-graph]

Limits

[-u|--upper-limit value] Y轴正值高度[-l|--lower-limit value]Y轴负值高度 [-r|--rigid]

Data and variables

DEF:vname=rrdfile:ds-name:CF[:step=step][:start=time][:end=time]

CDEF:vname=RPN expression

VDEF:vname=RPN expression

    主要用处是说明您要取出那个RRD档案的 DSN 到这个 graph 的参数中来 CDEF 通过运算得到一个虚拟的变量,

其运算式需写成后序 EX: a=1+3 写成 a=1,3 + LINE{1|2|3}:vname[#rrggbb[:legend]] LINE1:your_var#rgb顏色值:图例说明,

这个 "your_var" 需存在 DEF 或 CDEF 的宣告中, AREA:vname[#rrggbb[:legend]] AREA 画出样本数值至 0 之间的区块图 STACK:vname[#rrggbb[:legend]]

STACK 叠在上一个值上的图形 请注意,如果使用 AREA/STACK 时需特別注意图盖图的问题,一定要先画大的值,

再画小的值,这才会有层次的效果,不然,最大的数据若最后画,会盖住前面的数据 COMMENT 说明文字,

如 COMMENT:"Last Updated" 将在图上产生该文字,可以用 \n 等换行符号 GPRINT GPRINT:vname:CF:format vname 即DEF 中的 your_var,

而 CF 看你要输出的文字是 AVERAGE/MAX/MIN/LAST 等数值,format 如同 printf 中的格式,

EX: GPRINT:telnet:AVERAGE:"%10.0lf \n" 意即要输出这段时间中 (-s ~ -e 中,telnet的平均值,%10.0lf 则是为了好算位置)。

/usr/bin/rrdtool graph - \

--imgformat=PNG \

--start=1414996498 \

--end=1415082898 \

--title='192.168.2.2 - Traffic - eth0' \

--rigid \

--base=1000 \

--height=120 \

--width=500 \

--alt-autoscale-max \

--lower-limit='0' \

COMMENT:"From 2014/11/03 14\:34\:58 To 2014/11/04 14\:34\:58\c" \

COMMENT:"  \n" \

--vertical-label='bytes per second' \

--slope-mode \

--font TITLE:10: \

--font AXIS:7: \

--font LEGEND:8: \

--font UNIT:7: \

DEF:a='/var/www/html/rra/db2_traffic_in_23.rrd':'traffic_in':AVERAGE \

DEF:b='/var/www/html/rra/db2_traffic_in_23.rrd':'traffic_out':AVERAGE \

AREA:a#00CF00FF:'Inbound'  \

GPRINT:a:LAST:' Current\:%8.2lf %s'  \

GPRINT:a:AVERAGE:'Average\:%8.2lf %s'  \

GPRINT:a:MAX:'Maximum\:%8.2lf %s\n'  \

LINE1:b#002A97FF:'Outbound'  \

GPRINT:b:LAST:'Current\:%8.2lf %s'  \

GPRINT:b:AVERAGE:'Average\:%8.2lf %s'  \

GPRINT:b:MAX:'Maximum\:%8.2lf %s\n' 

不过我觉得CACTI建图的基本原理是先创建数据模板,然后创建图形模板,而图形模板是调用数据模板而来,意思就是将数据转换到图形上来输出,这样便于我们直观查看到,然后我们可以把相应的图形模板加到主机模板里面去,这样我们就可以在创建设备监控的时候就可以选择相应的主机模板来创建图形喽,说了这么多不知道你明白了没有?这是CATCI精髓之所在,你一定要搞明白,其时我们导入的这些模板可以在数据模板里面找得到,你可以深入研究它究竟是怎样写公式来得到相关数据滴.

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