001 - Java基础
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Java开发入门
什么是Java?
Java是Sun Microsystems于1995年首次发布的一种编程语言和计算平台。
编程语言
计算平台
是在电脑中运行应用程序(软件)的环境,包括硬件环境和软件环境。
一般系统平台 包括一台电脑的硬件体系结构、操作系统、运行时库。
Java是快速,安全和可靠的。
从笔记本电脑到数据中心,从游戏机到科学超级计算机,从手机到互联 网,Java无处不在!
Java主要分为三个版本
• JavaSE(J2SE)(Java2 Platform Standard Edition, java平台标准版)
• JavaEE(J2EE)(Java 2 Platform,Enterprise Edition, java平台企业版)
• JavaME(J2ME)(Java 2 Platform Micro Edition, java平台微型版)。
Java之父-James Gosling
1990年Sun公司成立了由James Gosling领导的开发小组,开始致力于开发一种可移植的、跨平台的语言
该语言能生成正确运行于各种操作系统、各种CPU芯片上的代码。
<div class="mind-clipboard"> 1995年5月Sun公司推出Java Development Kit(JDK)1.0a2版本,标志着Java的诞生</div>
Java诞生的原因
平台与机器指令<br>
无论哪种编程语言编写的应用程序都需要经过操作系统和处理器来完成程序的运行,<br>
因此这里所指的平台是由操作系统(OS)和处理器(CPU)所构成。
与平台无关是指软件的运行不因操作系统、处理器的变化导致发生无法运行或出现运行错误。
所谓平台的机器指令就是可以被该平台直接识别、执行的一种由0,1组成的序列代码。
C/C++程序依赖平台
C/C++程序依赖平台
Java语言相对于其他语言的最大优势就是所谓的平台无关性,即跨平台性
Java 是一门跨平台的语言,Java 是平台无关性的,
这也是Java最初风靡全球的主要原因。
这也是Java 语言可以迅速崛起并风光无限的一个重要原因。
Java 是一门跨平台的语言?Java 如何实现的平台无关性的
什么是平台无关性
平台无关性就是一种语言在计算机上的运行不受平台的约束,
一次编译,到处执行(Write Once ,Run Anywhere)。
用Java 创建的可执行二进制程序,能够不加改变的运行于多个平台。
平台无关性好处
作为一门平台无关性语言,无论是在自身发展,还是对开发者的友好度上都是很突出的。
因为其平台无关性,所以Java 程序可以运行在各种各样的设备上,尤其是一些嵌入式设备,如打印机、扫描仪、传真机等。
随着5G 时代的来临,也会有更多的终端接入网络,相信平台无关性的Java 也能做出一些贡献。
对于Java 开发者来说,Java 减少了开发和部署到多个平台的成本和时间。真正的做到一次编译,到处运行。
平台无关性的实现
对于Java 的平台无关性的支持,是分布在整个Java 体系结构中的。
就像对安全性和网络移动性的支持一样
Java 的平台无关性是建立在Java 虚拟机的平台有关性基础之上的,是因为Java 虚拟机屏蔽了底层操作系统和硬件的差异。
其中扮演者重要的角色的有
前端 编译与后端编译、Class 文件
Java虚拟机(JVM)
字节码(ByteCode)
Java 语言规范
编译原理基础?Java 到底是是如何运行起来的?
前端 编译与后端编译、Class 文件
所有Java 文件要编译成统一的Class 文件
在计算机世界中,计算机只认识0 和1,所以,真正被计算机执行的其实是由0 和1 组成的二进制文件。<br>
日常开发使用的C、C++、Java、Python 等都属于高级语言,而非二进制语言
想要让计算机认识我们写出来的Java 代码,那就需要把他"翻译"成由0 和1 组成的二进制文件。
这个过程就叫做编译。负责这一过程的处理的工具叫做编译器。
把Java 文件,编译成二进制文件,需要经过两步编译
前端编译
主要指与源语言有关但与目标机无关的部分。
Java 中,javac的编译就是前端编译。
除了这种以外,使用的很多IDE,都内置了前端编译器。主要功能就是把.java 代码转换成.class 代码。
如eclipse,idea 等
这里提到的.class 代码,其实就是Class 文件。
后端编译
主要是将中间代码再翻译成机器语言
Java 中,这一步骤就是Java 虚拟机来执行的。
图解两步编译
图解两步编译
图解两步编译
Java 的平台无关性实现主要作用于以上阶段<br>
Java虚拟机(JVM)
通过Java 虚拟机将Class 文件转成对应平台的二进制文件等
所谓平台无关性,就是说要能够做到可以在多个平台上都能无缝对接。
但是,对于不同的平台,硬件和操作系统肯定都是不一样的。
对于不同的硬件和操作系统,最主要的区别就是指令不同。
比如同样执行a+b,A 操作系统对应的二进制指令可能是10001000,而B 操作系统对应的指令可能是11101110。
那么,想要做到跨平台,最重要的就是可以根据对应的硬件和操作系统生成对应的二进制指令。
而这一工作,主要由Java 虚拟机完成。
虽然Java 语言是平台无关的,但JVM 却是平台有关的
不同的操作系统上面要安装对应的JVM
上图是Oracle 官网下载JDK 的指引,不同的操作系统需要下载对应的Java 虚拟机。
有了Java 虚拟机,想要执行a+b 操作,A 操作系统上面的虚拟机就会把指令翻译成10001000,B 操作系统上面的虚拟机就会把指令翻译成11101110。
所以,Java 之所以可以做到跨平台,是因为Java 虚拟机充当了桥梁。
他扮演了运行时Java 程序与其下的硬件和操作系统之间的缓冲角色。
字节码(ByteCode)<br>
各种不同的平台的虚拟机都使用统一的程序存储格式——字节码(ByteCode)是构成平台无关性的另一个基石。
Java 虚拟机只与由字节码组成的Class 文件进行交互。
Java 语言可以Write Once ,Run Anywhere。这里的Write 其实指的就是生成Class 文件的过程。
因为Java Class 文件可以在任何平台创建,也可以被任何平台的Java 虚拟机装载并执行,所以才有了Java 的平台无关性。
Java 语言规范
通过规定Java 语言中基本数据类型的取值范围和行为
已经有了统一的Class 文件,以及可以在不同平台上将Class 文件翻译成对应的二进制文件的Java 虚拟机,Java 就可以彻底实现跨平台了吗?
其实并不是的,Java 语言在跨平台方面也是做了一些努力的,这些努力被定义Java 语言规范中。
通过保证基本数据类型在所有平台的一致性,Java 语言为平台无关性提供强了有力的支持。
Java
Java 中基本数据类型的值域和行为都是由其自己定义的。
举一个简单的例子:对于int 类型,在Java 中,int 占4 个字节,这是固定的。
C/C++
基本数据类型是由它的占位宽度决定的,占位宽度则是由所在平台决定的。
在不同的平台中,对于同一个C++程序的编译结果会出现不同的行为。
举一个简单的例子:对于int 类型,在C++中却不是固定的了。<br>
在16 位计算机上,int 类型的长度可能为两字节;
在32 位计算机上,可能为4 字节;
当64 位计算机流行起来后,int 类型的长度可能会达到8字节。
Java程序不依赖平台 <br>
Java可以在平台之上再提供一个Java运行环境(Java Runtime Environment,JRE),<br>
该Java运行环境由Java虚拟机(Java Virtual Machine,JVM)、类库以及一些核心文件组成。
Java虚拟机的核心是所谓的字节码指令,即可以被Java虚拟机直接识别、执行的一种由0,1组成的序列代码。
Java语言提供的编译器不针对特定的操作系统和CPU芯片进行编译,而是针对Java虚拟机把Java源程序编译为称作字节码的一种“中间代码”
Java虚拟机负责将字节码翻译成虚拟机所在平台的机器码,并让当前平台运行该机器码
如图所示
Java生成的字节码文件不依赖平台 <br>
语言无关性
其实,Java 的无关性不仅仅体现在平台无关性上面,向外扩展一下,Java 还具有语言无关性。
为了让Java 语言具有良好的跨平台能力,Java 独具匠心的提供了一种可以在所有平台上都能使用的一种中间代码——字节码(ByteCode)
有了字节码,无论是哪种平台(如Windows、Linux 等),只要安装了虚拟机,都可以直接运行字节码。
同样,有了字节码,也解除了Java 虚拟机和Java 语言之间的耦合。
这话可能很多人不理解,Java 虚拟机不就是运行Java 语言的么?这种解耦指的是什么?
JVM 其实并不是和Java 文件进行交互的,而是和Class 文件,也就是说,其实JVM 运行时,并不依赖于Java 语言。
时至今日,商业机构和开源机构,已经在Java 语言之外,发展出一大批可以在JVM 上运行的语言了
其实,目前Java 虚拟机已经可以支持很多除Java 语言以外的语言了,JVM 还支持哪些语言
Kotlin
Kotlin 是一种在Java 虚拟机上运行的静态类型编程语言,它也可以被编译成为JavaScript 源代码。
Kotlin 的设计初衷就是用来生产高性能要求的程序的,所以运行起来和Java 也是不相上下。
Kotlin 可以从JetBrains InteilliJ Idea IDE 这个开发工具以插件形式使用。
Hello World In Kotlin
Hello World In Kotlin
Groovy
Apache 的Groovy 是Java 平台上设计的面向对象编程语言。
使用Groovy 的一个重要特点就是使用类型推断
即能够让编译器能够在程序员没有明确说明的时候推断出变量的类型。
Groovy 可以使用其他Java 语言编写的库。
Groovy的语法与Java 非常相似,
实际上,Groovy 编译器是可以接受完全纯粹的Java 语法格式的。
它的语法风格与Java很像,Java 程序员能够很快的熟练使用Groovy,
大多数Java 代码也匹配Groovy 的语法规则,尽管可能语义不同。
Hello World In Groovy
Hello World In Groovy
Scala
Scala 是一门多范式的编程语言,<br>
<div class="mind-clipboard">设计初衷是要集成面向对象编程和函数式编程的各种特性。</div>
Scala 经常被我们描述为多模式的编程语言,因为它混合了来自很多编程语言的元素的特征。
但无论如何它本质上还是一个纯粹的面向对象语言。
它相比传统编程语言最大的优势就是提供了很好并行编程基础框架措施了。
Scala 代码能很好的被优化成字节码,运行起来和原生Java 一样快。
Hello World In Scala
Hello World In Scala
JRuby
JRuby 是用来桥接Java 与Ruby 的,它是使用比Groovy 更加简短的语法来编写代码,能够让每行代码执行更多的任务。
就和Ruby 一样,JRuby 不仅仅只提供了高级的语法格式。
它同样提供了纯粹的面向对象的实现,闭包等等,而且JRuby 跟Ruby 自身相比多了很多基于Java 类库可以调用,
虽然Ruby 也有很多类库,但是在数量以及广泛性上是无法跟Java 标准类库相比的。
Hello World In Jruby<br>
Hello World In Jruby
Jython
Jython,是一个用Java 语言写的Python 解释器。
Jython 能够用Python 语言来高效生成动态编译的Java 字节码。
Hello World In Jython
Hello World In Jython
Fantom<br>
Fantom 是一种通用的面向对象编程语言,
由Brian 和Andy Frank 创建,运行在三个平台上
.NET Common Language Runtime
JavaScript
Java Runtime Environment(JRE)
其主要设计目标是提供标准库API,以抽象出代码是否最终将在JRE 或CLR 上运行的问题。
Fantom 是与Groovy 以及JRuby 差不多的一样面向对象的编程语言,
<div class="mind-clipboard">但是悲剧的是Fantom 无法使用Java 类库,而是使用它自己扩展的类库。</div>
Hello World In Fantom
Hello World In Fantom
Clojure
Clojure 是Lisp 编程语言在Java 平台上的现代、函数式及动态方言。
与其他Lisp一样,Clojure 视代码为数据且拥有一套Lisp 宏系统。
虽然Clojure 也能被直接编译成Java 字节码,但是无法使用动态语言特性以及直接调用Java 类库。
与其他的JVM 脚本语言不一样,Clojure 并不算是面向对象的。
Hello World In Clojure
Hello World In Clojure
Rhino<br>
Rhino 是一个完全以Java 编写的JavaScript 引擎,目前由Mozilla 基金会所管理。
Rhino 的特点是为JavaScript 加了个壳,然后嵌入到Java 中,这样能够让Java 程序员直接使用。
其中Rhino 的JavaAdapters 能够让JavaScript 通过调用Java 的类来实现特定的功能。
Hello World In Rhino
Hello World In Rhino
Ceylon<br>
Ceylon 是一种面向对象,强烈静态类型的编程语言,强调不变性,由Red Hat 创建。
Ceylon 程序在Java 虚拟机上运行, 可以编译为JavaScript。
语言设计侧重于源代码可读性,可预测性,可扩展性,模块性和元编程性。
Hello World In Ceylon
Hello World In Ceylon
之所以可以支持,就是因为这些语言也可以被编译成字节码(Class 文件)。而虚拟机并不关心字节码是有哪种语言编译而来的。
经常使用IDE 的开发者可能会发现,当在Intelij IDEA 中,鼠标右键想要创建Java 类的时候,IDE 还会提示创建其他类型的文件,
IDE 默认支持的一些可以运行在JVM 上面的语言
这就是IDE 默认支持的一些可以运行在JVM 上面的语言,没有提示的,可以通过插件来支持。
目前,可以直接在JVM 上运行的语言有很多,每种语言通过一段『HelloWorld』代码进行演示,看看不同语言的语法有何不同。
Java的地位 <br>
网络地位
Java的平台无关性让Java成为编写网络应用程序的佼佼者,
而且Java也提供了许多以网络应用为核心的技术,
使得Java特别适合于网络应用软件的设计与开发。
语言地位
Java是面向对象编程,并涉及到网络、多线程等重要的基础知识,是一门很好的面向对象语言。
Java语言不仅是一门正在被广泛使用的编程语言,而且已成为软件设计开发者应当掌握的一门基础语言
需求地位 <br>
由于很多新的技术领域都涉及到了Java语言 ,导致IT行业对Java人才的需求正在不断的增长 。
Java的特点
一门【面向对象】的编程语言
什么是面向对象?
面向对象(Object Oriented)是一种软件开发思想。
它是对现实世界的一种抽象,
面向对象会把相关的数据和方法组织为一个整体来看待
相对的另外一种开发思想就是面向过程的开发思想
什么面向过程?
面向过程(Procedure Oriented)是一种以过程为中心的编程思想。<br>
举个例子
比如你是个学生,你每天去上学需要做几件 事情?
起床、穿衣服、洗脸刷牙,吃饭,去学校。一般是顺序性的完成一系列动作。
面向过程
而面向对象可以把学生进行抽象,所以这个例子就会变为
面向对象
面向过程
可以不用严格按照顺序来执行每个动作
不用手动管理对象的生命周期
Java摒弃了 C++中难以理解的概念;
多继承
指针
内存管理
不用手动管理对象的生命周期
功能强大和【简单】易用
现在企业级开发,快速敏捷开发
尤其是各种框架 的出现,使Java成为越来越火的一门语言。
一门【静态语言】,执行效率要比动态语言高,速度更快
从设计的角度上来说,所有的语言都是设计用来把人类可读的代码转换为机器指令
静态语言
静态语言是什么?
在编译期间就能够知道数据类型的语言
在运行前就能 够检查类型的正确性,一旦类型确定后就不能再更改
比如
举例
静态语言设计是用来让硬件执行的 更高效,因此需要程序员编写准确无误的代码,以此来让代码尽快的执行。
从这个角度来说,静态语言的执行效率要比动态语言高,速度更快
静态语言主要有<br>
Pascal, Perl, C/C++, JAVA, C#, Scala 等。
动态语言
动态语言是什么?
动态语言没有任何特定的情况需要指定变量的类型
在运行时确定的数据类型<br>
为了能够让程序员提高编码效率,因此使用更少的代码来实现功能
动态语言主要有
Lisp, Perl, Python、Ruby、JavaScript 等
易实现【多线程】
Java是一门高级语言,高级语言会对用户屏蔽很多底层实现细节。
比如Java是如何实现多线程的。
从 操作系统的角度来说,实现多线程的方式主要有下面这几种
在用户空间中实现多线程<br>
Java应该是在用户空间实现的多线程
在内核空间中实现多线程
内核是感知不到Java存在多线程机制的
在用户和内核空间中混合实现线程
具有平台独立性和可移植性
Java有一句非常著名的口号:Write once, run anywhere,也就是一次编写、到处运行。
为什么 Java能够吹出这种牛批的口号来?核心就是JVM。
计算机应用程序和硬件之间会屏蔽很多 细节,它们之间依靠操作系统完成调度和协调,
体系结构如下,操作系统所处的位置<br>
操作系统所处的位置
那么加上Java应用、JVM的体系结构会变为如下
JVM的体系结构
Java是跨平台的,已编译的Java程序可以在任何带有JVM的平台上运行。
在Windows平台 下编写代码,然后拿到Linux平台下运行,该如何实现呢?
首先,需要在应用中编写Java代码;<br>
用Eclipse或者javac,把Java代码编译为.class文件;
然后把.class文件打成.jar文件;
然后.jar文件就能够在Windows、Mac OS X、Linux系统下运行了。
不同的操作系统有不同的 JVM实现,切换平台时,不需要再次编译Java代码了。
具有高性能
编写的代码,经过javac编译器编译称为 字节码(bytecode),经过JVM内嵌的解释器将字节码 转换为机器代码,这是解释执行,这种转换过程效率较低。
但是部分JVM的实现都提供了 JIT(Just-In-Time)编译器
比如Hotspot JVM
JIT编译器
是什么?
动态编译器
JIT(Just-In-Time)编译器
能做什么?
在运行时,将热点代码编译成机器码
优点
运行效率高
编译执行
所以Java不仅仅只是一种解释执行的语言。
具有健壮性
重要保证
强类型机制
异常处理
垃圾的自动收集
这也是Java与C 语言的重要区别
容易开发分布式项目
支持互联网应用的开发
RMI
Java的RMI机制也是开发分布式应用的重要手段。
远程方法调用
网络应用编程类库
有net api,
它提供了用于网络应用编程的类库
URL
URLConnection、
Socket
ServerSocket
安全
Java开发环境
Oracle提供了两种Java平台的实现,JDK和JRE的区别?
JDK
JDK (Java Development Kit)称为Java开发包或Java开发工具
Java开发标准工具包
是一个编写Java的Applet 小程序和应用程序的程序开发环境。
JDK是Java开发工具包
JDK的功能要比JRE全很多。
JDK是整个Java的核心,包括了 Java运行环境(Java Run time Environment),—些 Java 工具和 Java 的核心类库(Java API)
Java8 JDK的全貌
Java8 JDK的全貌
可以认真研究一下这张图,它几乎包括了 Java中所有的概念
使用的是jdk1.8,可以点进去 Description of Java Conceptual Diagram ,可以发现这里面包括了所有关于Java的描述
JRE
Java Runtime Environment, Java运行时环境。
JRE是个运行环境,JDK是个开发环境。
JRE是Java运行环境,JDK中包含了JRE。
写Java程序时需要JDK,而运行Java程序时 就需要JRE。
JDK里面已经包含了JRE,因此只要安装了JDK,就可以编辑Java程序,也可以正常 运行Java程序。
由于JDK包含了许多与运行无关的内容,占用的空间较大,因此运行普通的Java 程序无须安装JDK,而只需要安装JRE即可。
Java开发环境配置
安装Java SE平台<br>
Java SE平台是学习掌握Java语言的最佳平台,而掌握Java SE又是进一步学习Java EE和Java ME所必须的
1 下载JDK1.8。 本书将使用针对Window操作系统平台的JDK,因此下载的版本为jjdk-8u40-windows-i586.exe。<br>2 选择安装路径界面。为了便于今后设置环境变量,建议修改默认的安装路径为:D:\jdk1.8 。<br>3 系统环境path的设置。 <br>4 系统环境classpath的设置。 <br>
子主题
Java程序的开发步骤
1.编写源文件。扩展名必须是.java。 <br>2.编译Java源程序。使用Java编译器(javac.exe)编译源文件,得到字节码文件。 <br>3. 运行Java程序。使用Java SE平台中的Java解释器(java.exe)来解释执行字节码文件。 <br>
Java程序的开发过程 <br>
Java程序的开发过程
一个简单的Java应用程序<br>
Java是面向对象编程,Java应用程序可以由若干个Java源文件所构成,每个源文件又是由若干个书写形式互相独立的类组成,
但其中一个源文件必须有一个类包含有main方法,该类称做应用程序的主类。Java应用程序从主类的main方法开始执行。
编写源文件
public class Hello {<br> public static void main (String args[]) {<br> System.out.println("这是一个简单的Java应用程序");<br> }<br>} <br>
注<br>1.应用程序的主类是Hello<br>2.源文件的命名 :Hello.java<br>
编译
当保存了Hello.java源文件后,就要使用Java编译器(javac.exe)对其进行编译。 <br>
如果源文件没有错误,编译源文件将生成扩展名为.class的字节码文件,其文件名与该类的名字相同,被存放在与源文件相同的目录中。<br>
子主题
编译例1-1中Hello.java源文件将得到Hello.class。<br>
如果对源文件进行了修改,必须重新编译,再生成新的字节码文件。
如果编译出现错误提示,必须修改源文件,然后再进行编译。
运行
使用Java虚拟机中的Java解释器(java.exe)来解释执行其字节码文件。
Java应用程序总是从主类的main方法开始执行。
因此,需进入主类字节码所在目录,如C:\chapter1,然后使用Java解释器(java.exe)运行主类的字节码
使用Java虚拟机中的Java解释器(java.exe)来解释执行其字节码文件。
JDK1.8(8.0)环境变量配置
下载JDK
到Oracle官网下载http://www.oracle.com/technetwork/java/javase/downloads/index.html<br>
子主题
子主题<br>
子主题
找到环境变量
右键我的电脑——属性——高级系统设置——环境变量<br>
设置path变量
找到path变量——编辑——变量值:JDK安装目录(默认在C:\Program Files\Java\jdk1.8.0_40\bin)<br>
如果变量值已有其他值,请用";"分隔
找到path变量——编辑——变量值
配置CLASSPATH
变量值:.;C:\Program Files\Java\jdk1.8.0_40\lib\tools.jar;C:\Program Files\Java\jdk1.8.0_40\lib\dt.jar(如果你的jdk不是jdk1.8.0_40版本的,请修改)<br>
配置CLASSPATH
配置JAVA_HOME
新建变量:JAVA_HOME<br>变量值:JDK安装目录<br>
新建变量:JAVA_HOME。变量值:JDK安装目录
检验完成
配置完成,检查一下有没有安装好,打开命令行,输入java -version,显示jdk版本信息如下图<br>
配置完成,检查一下有没有安装好
(关键)配置Java环境
1、输入“JAVA_HOME”<br>
1、输入“JAVA_HOME”
弹出“新建系统变量”对话框,在“变量名”文本框输入“JAVA_HOME”,<br>在“变量值”文本框输入JDK的安装路径(也就是步骤5的文件夹路径),单击“确定”按钮
2、新建变量 PATH
2、 在“系统变量”选项区域中查看PATH变量,如果不存在,则新建变量 PATH,否则选中该变量,<br>单击“编辑”按钮,在“变量值”文本框的起始位置添加“%JAVA_HOME%\bin;%JAVA_HOME%\jre\bin;”<br>或者是直接“%JAVA_HOME%\bin;”,单击确定按钮
2、新建变量 PATH
3、新建变量CLASSPATH<br>
3、在“系统变量”选项区域中查看CLASSPATH 变量,如果不存在,则新建变量CLASSPATH,否则选中该变量<br>单击“编辑”按钮,在“变量值”文本框的起始位置添加“.;%JAVA_HOME%\lib\dt.jar;%JAVA_HOME%\lib\tools.jar;”。
子主题
在配置完Java开发环境,并下载Java开发工具(Eclipse、IDEA等)后,就可以.写Java代码了
Java平台主要分为下列3个版本
Java要实现“编写一次,到处运行”(write once,run anywhere)的目标,就必须提供相应的Java运行环境,即运行Java程序的平台。<br>
目前Java平台主要分为下列3个版本
(1)Java SE(曾称为J2SE)称为Java标准版或Java 标准平台。
(2)Java EE(曾称为J2EE)称为Java企业版或Java企业平台。
(3)Java ME(曾称为J2ME)称为Java微型版或Java小型平台。
虚拟机负责将字节码文件加载到内存,然后采用解释方式来执行字节码文件,即根据相应平台的机器指令翻译一句执行一句。
字节码文件(包括程序使用的类库中的字节码)
Java编程基础概念
Java基本数据类型与基本类型的类包装
基本数据类型
简单数据类型也称作基本数据类型
基本数据类型
基本类型,或者叫做内置类型,是Java 中不同于类(Class)的特殊类型。
它们是编程中使用最频繁的类型。
Java 是一种强类型语言,第一次申明变量必须说明数据类型,第一次变量赋值称为变量的初始化。
Java的基本数据类型包括<br>
Java 基本类型共有八种,基本类型可以分为三类:
字符类型char<br>布尔类型boolean<br>数值类型byte、short、int、long、float、double。<br>数值类型又可以分为整数类型byte、short、int、long 和浮点数类型float、double。
Java语言有8种基本数据类型
byte、int、short、long、float、double、char。
Java有哪8种基本数据类型?Java支持的数据类型有哪些?Java语言支持的8中基本数据类型+1
int
long
double
float
byte
boolean
char
short
图解数据类型
图解数据类型
以上x位都指的是在内存中的占用。
实际上, Java中还存在另外一种基本类型void, 它也有对应的包装类java.lang.Void,不过我们无法直接对它们进行操作。
还有个void,别忘了
常见问题
基本数据类型有什么好处<br>
在Java 语言中,new 一个对象是存储在堆里的,通过栈中的引用来使用这些对象;所以,对象本身来说是比较消耗资源的。
对于经常用到的类型,如int 等,如果每次使用这种变量时,都需要new 一个Java 对象,就会比较笨重。
所以,和C++一样,Java 提供了基本数据类型
这种数据的变量不需要使用new 创建
不会在堆上创建,而是直接在栈内存中存储,因此会更加高效。
超出表示范围的溢出问题?超出范围怎么办
整型的取值范围<br>
<div>Java 中的整型主要包含byte、short、int 和long 这四种,<span style="font-size: inherit;"></span></div>
表示的数字范围也是从小<span style="font-size: inherit;">到大的,之所以表示范围不同主要和他们存储数据时所占的字节数有关。</span>
整型中,每个类型都有一定的表示范围,但是,在程序中有些计算会导致超出表示范围,即溢出
溢出如以下代码
int i = Integer.MAX_VALUE;<br>int j = Integer.MAX_VALUE;<br>int k = i + j;<br>System.out.println("i (" + i + ") + j (" + j + ") = k (" + k + ")");
输出结果:i (2147483647) + j (2147483647) = k (-2)
这就是发生了溢出,溢出的时候并不会抛异常,也没有任何提示。
所以,在程序中,使用同类型的数据进行运算时,一定要注意数据溢出的问题。
Java中数据类型只有四类八种
简答科普
1 字节=8 位(bit)
8bit 可以表示的数字<br>
最小值:10000000 (-128)(-2^7)<br>最大值:01111111(127)(2^7-1)
整数型<br>
byte<br>
字节
byte 用1 个字节来存储
科普:1 字节=8 位(bit)
1 byte = 8 bits,
先来看计算中8bit 可以表示的数字:
最小值:10000000 (-128)(-2^7)
最大值:01111111(127)(2^7-1)
Java 中,为什么byte 类型的取值范围为-128~127?
范围为-128(-2^7)到127(2^7-1),
默认值是0
在变量初始化时,byte 类型的默认值为0。
常量
Java中不存在byte型常量的表示法,但可以把一定范围内的int型常量赋值给byte型变量。 <br>
变量
使用关键字byte来声明byte 型变量 <br>
例如: byte x= -12,tom=28,漂亮=98;
对于byte型内存分配给1个字节,占8位 。
short
占用两个字节,也就是16位,
用2 个字节存储
1 short =2byte= 16 bits,
默认值是0
在变量初始化时,short 类型的默认值为0
范围为-32,768 (-2^15)到32,767 (2^15-1)
一般情况下,因为Java 本身转型的原因,可以直接写为0。
常量<br>
和byte型类似,Java中也不存在short型常量的表示法,<br>
但可以把一定 范围内的int型常量赋值给short型变量。
变量<br>
使用关键字short来声明short型变量<br>
例如: short x=12,y=1234;例如: short x=12,y=1234;
对于short型变量,内存分配给2个字节,占16位.<br>
int
占用四个字节,也就是32位,
int 用4 个字节存储
1 int = 4byte=32 bits
范围为-2,147,483,648 (-2^31)到2,147,483,647 (2^31-1)
默认值是0
在变量初始化时,int 类型的默认值为0。
常量
123,6000(十进制),077(八进制),0x3ABC(十六进制)
变量
使用关键字int来声明int型变量,声明时也可以赋给初值
例如: int x= 12,平均=9898,jiafei;
对于int型变量,内存分配给4个字节(byte),-231~231-1
long
占用八个字节,也就是64位
用8 个字节存储
1 long =8byte= 64 bits
<div class="mind-clipboard">范围为-9,223,372,036,854,775,808 (-2^63)到9,223,372,036, 854,775,807 (2^63-1)</div>
默认值是0L
在变量初始化时,long 类型的默认值为0L 或0l,也可直接写为0。
常量
long型常量用后缀L来表示,<br>
例如:108L(十进制)、07123L(八进制)、0x3ABCL(十六进制) 。
变量
使用关键字long来声明long型变量,<br>
例如: long width=12L,height=2005L,length;
对于long型变量,内存分配给8个字节,占64位。
java 中的整型属于有符号数。
整型中byte、short、int、long 的取值范围
整数型的占用字节大小空间为long > int > short > byte
Java 中的整型主要包含byte、short、int 和long 这四种,表示的数字范围也是从小到大的
之所以表示范围不同,主要和他们存储数据时,所占的字节数有关。
浮点型
什么是浮点型?
在计算机科学中,浮点是一种对于实数的近似值数值表现法,由一个有效数字(即尾数)加上幂数来表示,
通常是乘以某个基数的整数次指数得到。以这种表示法表示的数值,称为浮点数(floating-point number)。
计算机使用浮点数运算的主因
计算机使用浮点数运算的主因,在于电脑使用二进位制的运算。
例如:4÷2=2,4 的二进制表示为100、2 的二进制表示为010,在二进制中,相当于退一位数(100 -> 010)。
1 的二进制是01,1.0/2=0.5,那么,0.5 的二进制表示应该为(0.1),以此类推,0.25的二进制表示为0.01,
并不是说所有的十进制小数都能准确的用二进制表示出来
所以,并不是说所有的十进制小数都能准确的用二进制表示出来,如0.1,因此只能使用近似值的方式表达。
也就是说,十进制的小数在计算机中是由一个整数或定点数(即尾数)乘以某个基数(计算机中通常是2)的整数次幂得到的,
这种表示方法类似于基数为10 的科学计数法。
一个浮点数a 由两个数m 和e 来表示
a = m × be。<br>
在任意一个这样的系统中,选择一个基数b(记数系统的基)和精度p(即使用多少位来存储)。
m(即尾数)是形如±d.ddd...ddd 的p 位数(每一位是一个介于0 到b-1 之间的整数,包括0 和b-1)。
如果m 的第一位是非0 整数,m 称作正规化的。
有一些描述使用一个单独的符号位(s 代表+或者-)来表示正负,这样m 必须是正的。e 是指数。
位(bit)的概念 以及 什么是单精度和双精度?
位(bit)是衡量浮点数所需存储空间的单位,
通常为32 位或64 位,分别被叫作单精度和双精度。
什么是单精度和双精度?
单精度浮点数在计算机存储器中占用4 个字节(32 bits),利用“浮点”(浮动小数<br>点)的方法,可以表示一个范围很大的数值。
在计算机存储器中占用4 个字节(32 bits),
利用“浮点”(浮动小数点)的方法,可以表示一个范围很大的数值。
双精度浮点数
双精度浮点数(double)使用64 位(8 字节) 来存储一个浮点数。
为什么不能用浮点型表示金额?
由于计算机中保存的小数其实是十进制的小数的近似值,并不是准确值,
所以,千万不要在代码中使用浮点数来表示金额等重要的指标。
建议使用BigDecimal 或者Long(单位为分)来表示金额。
float
单精度浮点型
占用4位
1 float = 32 bits<br>
默认值是0.0f
常量
需要特别注意的是:常量后面必须要有后缀“f”或“F”。
453.5439f,21379.987F,231.0f(小数表示法),2e40f(2乘10的40次方,指数表示法)
变量
使用关键字float来声明float型变量,
例如:float x=22.76f,tom=1234.987f,weight=1e-12F;
对于float型变量,内存分配给4个字节,占32位。
精度:float变量在存储float型数据时保留8位有效数字,实际精度取决于具体数值。
double<br>
双精度浮点型
占用8位
1 double = 64 bits
默认值是0.0d
常量
2389.539d,2318908.987,0.05(小数表示法),1e-90(1乘10的-90次方,指数表示法)。
对于double常量,后面可以有后缀“d”或“D”,但允许省略该后缀。
变量
使用关键字double来声明double型变量, <br>
例如:double height=23.345,width=34.56D,length=1e12;
对于double型变量,内存分配给8个字节,占64位 。
精度:double变量在存储double型数据时保留16位有效数字,实际精度取决于具体数值。
字符型<br>
char
char类型是一个单一的16位Unicode字符
最小值是\u0000 (也就是0 )
最大值是\uffff (即为65535)
可存储任何字符,例如char a = 'A'
常量
常量:‘A’,‘b’,‘?’,‘!’,‘9’,‘好’,‘\t’,‘き’,‘モ’等,
即用单引号扩起的Unicode表中的一个字符。
变量
使用关键字char来声明char型变量,<br>
例如:char ch=‘A’,home=‘家’,handsome=‘酷’;
对于char型变量,内存分配给2个字节,占16位
转意字符常量
有些字符(如回车符)不能通过键盘输入到字符串或程序中,就需要使用转意字符常量,<br>
例如:\n(换行),\b(退格),\t(水平制表), \‘(单引号),\“(双引号),\\(反斜线)等。 <br>
要观察一个字符在Unicode表中的顺序位置,可以使用int型显示转换,如(int)'a'或int p='a'。<br>
如果要得到一个0~65536之间的数所代表的Unicode表中相应位置上的字符,必须使用char型显示转换
分别用显示转换来显示一些字符在Unicode表中的位置,以及Unicode表中某些位置上的字符
public class example {<br> public static void main (String args[ ]) {<br> char ch1='国',ch2='庆';<br> int p1=969,p2=12353;<br> System.out.println(ch1+"在Unicode表中的位置:"+(int)ch1);<br> System.out.println(ch2+"在Unicode表中的位置:"+(int)ch2); <br> System.out.println("第"+p1+"个位置上的字符是:"+(char)p1);<br> System.out.println("第"+p2+"个位置上的字符是:"+(char)p2); <br> }<br>}<br>
输出
布尔型/逻辑类型
boolean<br>
常量
true或者是false
变量
使用关键字boolean来声明逻辑变量, 声明时也可以赋给初值,<br>
例如:boolean x,ok=true,关闭=false;<br>
boolean只有两种值
只表示1位
默认值是false
简单数据类型的级别与类型转换运算
Java中数据的基本类型(不包括逻辑类型)按精度从“低”到“高”排列:byte short char int long float double <br>
当把级别低的变量的值赋给级别高的变量时,系统自动完成数据类型的转换。<br>
例如: float x=100;
当把级别高的变量的值赋给级别低的变量时,必须使用显示类型转换运算。<br>
显示转换的格式:(类型名)要转换的值;<br>
例如: int x=(int)34.89;
当把一个int型常量赋值给一个byte和short型变量时,不可以超出这些变量的取值范围,否则必须进行类型转换运算;<br>
例如,常量128的属于int型常量,超出byte变量的取值范围,
如果赋值给byte型变量,必须进行byte类型转换运算(将导致精度的损失),
如所示: byte a=(byte)128;
基本类型的类包装、自动装箱与拆箱
为什么需要包装类 ?
很多人会有疑问,既然Java 中为了提高效率,提供了八种基本数据类型,为什么还要提供包装类呢?
这个问题,其实前面已经有了答案
Java 语言是一个面向对象的语言,,很多地方都需要使用对象而不是基本数据类型
但是Java 中的基本数据类型却是不面向对象的,这在实际使用时存在很多的不便,
比如,在集合类中,无法将int 、double 等类型放进去的。因为集合的容器要求元素是Object 类型。
为了解决这个不足,在设计类时为每个基本数据类型设计了一个对应的类进行代表,
为了让基本类型也具有对象的特征,就出现了包装类型
这些包装类分别是:
Byte
构造方法 :Byte(byte num)<br>
调用byteValue()方法返回该对象含有的基本型数据
Integer
构造方法 : Integer(int num)<br>
调用intValue()方法返回该对象含有的基本型数据
Short
构造方法: Short(short num)<br>
调用shortValue()方法返回该对象含有的基本型数据
Long
构造方法: Long(long num)<br>
调用longValue ()方法返回该对象含有的基本型数据
Float类
实现了对float基本型数据的类包装
构造方法: Float(float num)
Float对象调用floatValue()方法可以返回该对象含有的float型数据。
Double类
实现了对double基本型数据的类包装
构造方法:Double(double num)
Double对象调用doubleValue()方法可以返回该对象含有的double型数据。
Character类
实现了对char基本型数据的类包装<br>
构造方法:Character(char c)
常用类方法:
public static boolean isDigit(char ch) 如果ch是数字字符方法返回 true,否则返回false。<br> public static boolean isLetter(char ch) 如果ch是字母方法返回 true,否则返回false。<br> public static boolean isLetterOrDigit(char ch) 如果ch是数字字符或字母方法返回 true,否则返回false。<br> public static boolean isLowerCase(char ch) 如果ch是小写字母方法返回 true,否则返回false。<br> public static boolean isUpperCase(char ch) 如果ch是大写字母方法返回 true,否则返回false。<br> public static char toLowerCase(char ch) 返回ch的小写形式。<br> public static char toUpperCase(char ch) 返回ch的大写形式。<br> public static boolean isSpaceChar(char ch) 如果ch是空格返回true。
包装类和基本数据类型的对应关系如下表所示
包装类和基本数据类型的对应关系所示
在这八个类名中,除了Integer 和Character 类以后,其它六个类的类名和基本数据类型一致,只是类名的第一个字母大写即可。
这样八个和基本数据类型对应的类。统称为包装类(Wrapper Class)。
它相当于将基本类型“包装起来”,使得它具有了对象的性质,并且为其添加了属性和方法,丰富了基本类型的操作。
什么是自动拆装箱?自动装箱与拆箱
JDK1.5新增的功能,JDK1.5后可以使用
(Autoboxing and Auto-Unboxing of Primitive Types)。
实现功能
在Java SE5 中,为了减少开发人员的工作,Java 提供了自动拆箱与自动装箱功能。
Java 自动将原始类型值转换成对应的对象
基本类型数据和相应的对象之间相互自动转换
Java提供了基本数据类型相关的类,实现了对基本数据类型的封装。<br>
Java编译器在基本数据类型和对应的对象包装类型之间做的一个转化。
为什么叫自动装箱,自动 拆箱?<br>
因为这里的装箱和拆箱是自动进行的非人为转换,所以就称作为自动装箱和拆箱
原始类型byte, short, char, int, long, float, double 和boolean
对应的封装类为Byte,Short, Character, Integer, Long, Float, Double, Boolean。
包装类型 、包装类
存放位置
包装类均位于java.lang 包
这些类在java.lang包中。
拆箱与装箱
那么,有了基本数据类型和包装类,肯定有些时候要在他们之间进行转换。
比如把一个基本数据类型的int 转换成一个包装类型的Integer 对象。
我们认为包装类是对基本类型的包装,所以,把基本数据类型转换成包装类的过程就是<br>打包装,英文对应于boxing,中文翻译为装箱。<br>
反之,把包装类转换成基本数据类型的过程就是拆包装,英文对应于unboxing,中文翻译为拆箱。<br>
在Java SE5 之前,要进行装箱,可以通过以下代码:<br>
Integer i = new Integer(10);
自动拆箱与自动装箱
在Java SE5 中,为了减少开发人员的工作,Java 提供了自动拆箱与自动装箱功能。
自动装箱
程序允许把一个基本数据类型添加到类似链表等数据结构中,系统会自动完成基本类型到相应对象的转换(自动装箱)。<br>
比如:把int转化成Integer,double转化成Double,等等。
值类型转化为引用类型
比如将int 的变量转换成Integer 对象,这个过程叫做装箱
反之将Integer 对象转换成int 类型值,这个过程叫做拆箱
将基本数据类型自动转换成对应的包装类。
Java 的编译器把基本数据类型自动转换成封装类对象的过程叫做自动装箱,相当于使用valueOf 方法
Integer i =10; //自动装箱
可替代Integer i = new Integer(10);
这就是因为Java提供了自动装箱功能,不需要开发者手动去new 一个Integer 对象。
Integer a = 10; //this is autoboxing<br>Integer b = Integer.valueOf(10); //under the hood
自动拆箱
当从一个数据结构中获取的对象时,如果该对象是基本数据的封装对象,那么系统自动完成对象到基本类型的转换(自动拆箱)
反之就是自动拆箱。
引用类型转化为值类型
将包装类自动转换成对应的基本数据类型。
Integer i =10; //自动装箱<br>int b= i; //自动拆箱
自动装箱与自动拆箱的实现原理(语法糖)
既然Java 提供了自动拆装箱的能力,那么到底是什么原理,Java 是如何实现的自动拆装箱功能?
以int和Integer装箱的过程为例子说明
我们有以下自动拆装箱的代码:
public static void main(String[]args) {<br> Integer integer=1; //装箱<br> int i=integer; //拆箱<br>}
对以上代码进行反编译后可以得到以下代码:<br>
public static void main(String[]args) {<br> Integer integer=Integer.valueOf(1);<br> int i=integer.intValue();<br>}
从上面反编译后的代码可以看出,
int 的自动装箱都是通过Integer.valueOf()方法来实现的,
Integer 的自动拆箱都是通过integer.intValue 来实现的。
将八种类型都反编译一遍,发现以下规律:
自动装箱都是通过包装类的valueOf()方法来实现的.
自动拆箱都是通过包装类对象的xxxValue()来实现的。
糖块三、自动装箱与拆箱
自动装箱(语法糖解析)
先来看个自动装箱的代码<br>
先来看个自动装箱的代码
反编译后代码如下:
反编译后代码如下:
从反编译得到内容可以看出
在装箱时,自动调用的是Integer 的valueOf(int)方法
装箱过程是通过调用包装器的valueOf 方法实现的
自动拆箱(语法糖解析)
再来看个自动拆箱的代码:
再来看个自动拆箱的代码:<br>
反编译后代码如下:
反编译后代码如下:
从反编译得到内容可以看出
在拆箱时,自动调用的是Integer 的intValue 方法。
拆箱过程是通过调用包装器的xxxValue 方法实现的。
可能遇到的坑
对象相等比较
public static void main(String[] args) {<br>Integer a = 1000;<br>Integer b = 1000;<br>Integer c = 100;<br>Integer d = 100;<br>System.out.println("a == b is " + (a == b));<br>System.out.println(("c == d is " + (c == d)));<br>}
输出结果:
a == b is false<br>c == d is true<br>
在Java 5 中,在Integer 的操作上,引入了一个新功能,来节省内存和提高性能。
整型对象,通过使用相同的对象引用,实现了缓存和重用。
适用于整数值区间-128 至+127。
只适用于自动装箱。使用构造函数创建对象不适用。
哪些地方会自动拆装箱? 什么情况下,Java 会进行自动拆装箱
场景1:变量的初始化和赋值的场景
场景一、将基本数据类型放入集合类
Java 中的集合类只能接收对象类型,那么以下代码为什么会不报错呢?
代码为什么会不报错呢
将上面代码进行反编译,可以得到以下代码:
将上面代码进行反编译
以上,可得出结论,当把基本数据类型放入集合类中时,会进行自动装箱。
场景二、包装类型和基本类型的大小比较
当对Integer 对象与基本类型进行大小比较时,实际上比较的是什么内容呢?
看以下代码:
看以下代码:
对以上代码进行反编译,得到以下代码:<br>
反编译后的代码
包装类与基本数据类型进行比较运算,是先将包装类进行拆箱成基本数据类型,然后进行比较的。<br>
场景三、包装类型的运算(四则运算)
当对Integer 对象进行四则运算时,是如何进行的呢?
看以下代码:
实例代码
反编译后代码如下:<br>
反编译后的代码
发现,两个包装类型之间的运算,会被自动拆箱成基本类型进行。
场景四、三目运算符的使用
这是很多人不知道的一个场景,作者也是一次线上的血淋淋的Bug 发生后,才了解到的一种案例。
看一个简单的三目运算符的代码:
<img 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" alt="">
很多人不知道,其实在int k = flag ? i : j;这一行,会发生自动拆箱
(JDK1.8 之前,相见:https://www.hollischuang.com/archives/4749)
反编译后代码如下:<br>
反编译后代码<br>
这其实是三目运算符的语法规范。当第二,第三位操作数分别为基本类型和对象时,其中的对象就会拆箱为基本类型进行操作。
因为例子中,flag ? i : j;片段中,第二段的i 是一个包装类型的对象,而第三段的j 是一个基本类型,所以会对包装类进行自动拆箱。
如果这个时候i 的值为null,那么就会发生NPE。(自动拆箱导致空指针异常)
场景五、函数参数与返回值
这个比较容易理解,直接上代码了:
子主题
自动拆装箱与缓存
Java SE 的自动拆装箱还提供了一个和缓存有关的功能,
先来看以下代码,猜测一下输出结果:
看以下代码,猜测一下输出结果
普遍认为上面的两个判断的结果都是false。
虽然比较的值是相等的,但是由于比较的是对象,而对象的引用不一样,所以会认为两个if 判断都是false 的。
在Java 中,==比较的是对象应用,而equals 比较的是值。
所以,在这个例子中,不同的对象有不同的引用,所以在进行比较的时候都将返回false。
奇怪的是,这里两个类似的if 条件判断返回不同的布尔值。
上面这段代码真正的输出结果
integer1 == integer2<br>integer3 != integer4<br>
Java 中Integer 的缓存实现
原因就和Integer 中的缓存机制有关。
在Java 5 中,在Integer 的操作上引入了一个新功能来节省内存和提高性能。
这是在Java 5 中引入的一个有助于节省内存、提高性能的功能。
整型对象通过使用相同的对象引用实现了缓存和重用。
看看JDK 中的valueOf 方法
Java 的编译器把基本数据类型自动转换成封装类对象的过程叫做自动装箱,相当于使用valueOf 方法
JDK 1.8.0 build 25 的实现<br>
在创建对象之前先从IntegerCache.cache 中寻找。如果没找到才使用new 新建对象。<br>
IntegerCache,Integer 类中的内部类
IntegerCache 是Integer 类中定义的一个private static 的内部类。
接下来看看他的定义。<br>
子主题
子主题
其中的javadoc 详细的说明了缓存支持-128 到127 之间的自动装箱过程。
适用于整数值区间-128 至+127。
只适用于自动装箱。使用构造函数创建对象不适用
缓存支持-128 到127 之间的自动装箱过程
当需要进行自动装箱时,如果数字在-128 至127 之间时,会直接使用缓存中的对象,而不是重新创建一个对象。
其中的javadoc 详细的说明了缓存支持-128 到127 之间的自动装箱过程。<br>
实际上这个功能在Java 5 中引入的时候,范围是固定的-128 至+127。<br>
这使我们可以根据应用程序的实际情况灵活地调整来提高性能。
Java 5 中引入时,范围是固定的-128 至+127,最大值127可以通过-XX:AutoBoxCacheMax=size 修改。
缓存通过一个for 循环实现。从低到高并创建尽可能多的整数并存储在一个整数数组中。
这个缓存会在Integer 类第一次被使用的时候被初始化出来。
以后,就可以使用缓存中包含的实例对象,而不是创建一个新的实例(在自动装箱的情况下)。
后来在Java6 中,可以通过java.lang.Integer.IntegerCache.high 设置最大值。
到底是什么原因选择这个-128 到127 范围呢?
因为这个范围的数字是最被广泛使用的。
在程序中,第一次使用Integer 时,也需要一定的额外时间来初始化这个缓存。
Java 语言规范中的缓存行为<br>
在Boxing Conversion 部分的Java 语言规范(JLS)规定如下:<br>
如果一个变量p 的值是:
变量p 的值<br>
范围内的时,将p 包装成a 和b 两个对象时,可以直接使用a==b 判断a 和b 的值是否相等。<br>
其他缓存的对象<br>
这种缓存行为不仅适用于Integer 对象。针对所有的整数类型的类都有类似的缓存机制。
有ByteCache 用于缓存Byte 对象<br>有ShortCache 用于缓存Short 对象<br>有LongCache 用于缓存Long 对象<br>有CharacterCache 用于缓存Character 对象
Byte, Short, Long 有固定范围: -128 到127。
对于Character, 范围是0 到127。
除了Integer 以外,这个范围都不能改变。
自动拆装箱带来的问题<br>
<div>自动拆装箱是一个很好用的功能,大大节省了开发人员的精力,不再需要关心到底<span style="font-size: inherit;">什么时候需要拆装箱。</span></div>
但是,它也会引入一些问题。
包装对象的数值比较,不能简单的使用==,虽然-128 到127 之间的数字可以,但是这个范围之外还是需要使用equals 比较。<br>
有些场景会进行自动拆装箱,同时由于自动拆箱,如果包装类对象为null,那么自动拆箱时就有可能抛出NPE。<br>
如果一个for 循环中有大量拆装箱操作,会浪费很多资源。
如何正确定义接口的返回值(boolean/Boolean)类型及命名(success/isSuccess)
该如何定一个布尔类型的成员变量 ?
关于这个"本次请求是否成功"的字段定义,其实是有很多种讲究和坑的,稍有不慎就会掉入坑里, <br>
在日常开发中,经常要在类中定义布尔类型的变量,
比如在给外部系统提供一个RPC 接口时,一般会定义一个字段表示本次请求是否成功的。<br>
到底哪一种才是正确的使用姿势呢?
一般情况下,可以有以下四种方式来定义一个布尔类型的成员变量:<br>
Boolean success<br>boolean isSuccess<br>Boolean success<br>Boolean isSuccess<br>
以上四种定义形式,日常开发中最常用的是哪种呢?到底哪一种才是正确的使用姿势呢?
通过观察可以发现
前两种和后两种的主要区别是变量的类型不同,前者使用的是boolean,后者使用的是Boolean。
第一种和第三种在定义变量时,变量命名是success,而另外两种使用isSuccess 来命名的。
success 还是isSuccess ?
到底应该是用success 还是isSuccess 来给变量命名呢?
从语义上面来讲,两种命名方式都可以讲的通,并且也都没有歧义。
那么还有什么原则可以参考来让我们做选择呢。<br>
在Java 开发手册中关于这一点,有过一个『强制性』规定:<br>
<img src="data:image/png;base64,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" alt=""><br>
那么,为什么会有这样的规定呢?看一下POJO 中布尔类型变量不同的命名有什么区别吧。
子主题<br>
以上代码的setter/getter 是使用IDEA自动生成的,仔细观察以上代码,你会发现以下规律:
基本类型自动生成的getter 和setter 方法,名称都是isXXX()和setXXX()形式的。<br> 包装类型自动生成的getter 和setter 方法,名称都是getXXX()和setXXX()形式的。
既然,我们已经达成一致共识使用基本类型boolean 来定义成员变量了,
那么我们再来具体看下Model3 和Model4 中的setter/getter 有何区别。
可以发现,虽然Model3 和Model4 中的成员变量的名称不同,一个是success,另外一个是isSuccess,
但是他们自动生成的getter 和setter 方法名称都是isSuccess和setSuccess。
Java Bean 中关于setter/getter 的规范
关于Java Bean 中的getter/setter 方法的定义其实是有明确的规定的,根据JavaBeans(TM) Specification 规定,
如果是普通的参数propertyName,要以下方式定义其setter/getter:
public <PropertyType> get<PropertyName>();<br>public void set<PropertyName>(<PropertyType> a);
但是,布尔类型的变量propertyName 则是单独定义的:
public boolean is<PropertyName>();<br>public void set<PropertyName>(boolean m);
<img 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" alt="">
通过对照这份JavaBeans 规范发现,在Model4 中,变量名为isSuccess,如果严格按照规范定义的话,他的getter 方法应该叫isIsSuccess。
但是很多IDE 都会默认生成为isSuccess。
那这样做会带来什么问题呢?序列化带来的影响<br>
在一般情况下,其实是没有影响的。
但是有一种特殊情况就会有问题,那就是发生序列化的时候。<br>
关于序列化和反序列化请参考Java 对象的序列化与反序列化。我们这里拿比较常用的JSON 序列化来举例,
看看看常用的fastJson、jackson 和Gson 之间有何区别:
以上代码的Model3 中,只有一个成员变量即isSuccess,<br>
三个方法,分别是IDE 帮我们自动生成的isSuccess 和setSuccess,另外一个是作者自己增加的一个符合getter命名规范的方法。
以上代码输出结果:
Serializable Result With fastjson :{"hollis":"hollischuang","success":true}<br>Serializable Result With Gson :{"isSuccess":true}<br>Serializable Result With jackson :{"success":true,"hollis":"hollischuang"}<br>
在fastjson 和jackson 的结果中,原来类中的isSuccess 字段被序列化成success,并且其中还包含hollis 值。
而Gson 中只有isSuccess 字段。
由于不同的序列化工具,在进行序列化时使用的策略是不一样的
fastjson 和jackson
在把对象序列化成json 字符串时,是通过反射遍历出该类中的所有getter 方法,得到getHollis 和isSuccess,
然后根据JavaBeans 规则,他会认为这是两个属性hollis 和success 的值。
直接序列化成json:{"hollis":"hollischuang","success":true}。
Gson
但是Gson 并不是这么做的,
他是通过反射遍历该类中的所有属性,并把其值序列化成json:{"isSuccess":true}。
可以看到,由于不同的序列化工具,在进行序列化的时候使用到的策略是不一样的,
所以,对于同一个类的同一个对象的序列化结果可能是不同的。
前面提到的关于对getHollis 的序列化只是为了说明fastjson、jackson 和Gson 之间的序列化策略的不同,
我们暂且把他放到一边,我们把他从Model3 中删除后,重新执行下以上代码,得到结果:
Serializable Result With fastjson :{"success":true}<br>Serializable Result With Gson :{"isSuccess":true}<br>Serializable Result With jackson :{"success":true}<br>
现在,不同的序列化框架得到的json 内容并不相同,
如果对于同一个对象,我使用fastjson 进行序列化,再使用Gson 反序列化会发生什么?
以上代码,输出结果:Model3[isSuccess=false]<br>
这和预期的结果完全相反,原因是因为JSON 框架通过扫描所有的getter 后发现<br>有一个isSuccess 方法,然后根据JavaBeans 的规范,解析出变量名为success,把<br>model 对象序列化城字符串后内容为{"success":true}。
根据{"success":true}这个json 串,Gson 框架在通过解析后,通过反射寻找Model<br>类中的success 属性,但是Model 类中只有isSuccess 属性,所以,最终反序列化后的<br>Model 类的对象中,isSuccess 则会使用默认值false。<br>
但是,一旦以上代码发生在生产环境,这绝对是一个致命的问题。
只需要做简单的一件事就可以解决这个问题了
所以,作为开发者,我们应该想办法尽量避免这种问题的发生,
对于POJO 的设计者来说,只需要做简单的一件事就可以解决这个问题了,那就是把isSuccess改为success。
这样,该类里面的成员变量时success,getter 方法是isSuccess,这是完全符合JavaBeans 规范的。
无论哪种序列化框架,执行结果都一样。就从源头避免了这个问题。
引用以下R 大关于Java 开发手册这条规定的评价:<br>
对于这个规定的评价
所以,在定义POJO 中的布尔类型的变量时,不要使用isSuccess 这种形式,而要直接使用success!
Boolean 还是boolean ?
前面介绍完了在success 和isSuccess 之间如何选择,那么排除错误答案后,备选项还剩下:
boolean success<br>Boolean success
那么,到底应该是用Boolean 还是boolean 来给定一个布尔类型的变量呢?
boolean 是基本数据类型,而Boolean 是包装类型。<br>
在定义一个成员变量时,到底是使用包装类型更好还是使用基本数据类型呢?
来看一段简单的代码:
以上代码输出结果为:default model : Model[success=null, failure=false]<br>
可以看到,当没有设置Model 对象的字段的值时,Boolean 类型的变量会设置默认值为null,而boolean 类型的变量会设置默认值为false。
即对象的默认值是null,boolean 基本数据类型的默认值是false。
在Java 开发手册中,对于POJO 中如何选择变量的类型也有着一些规定:
这里建议我们使用包装类型,原因是什么呢?<br>
举一个扣费的例子<br>
我们做一个扣费系统,扣费时需要从外部的定价系统中,读取一个费率的值,预期该接口的返回值中会包含一个浮点型的费率字段。
当取到这个值得时,就使用公式:金额*费率=费用进行计算,计算结果进行划扣。
如果由于计费系统异常,他可能会返回个默认值
如果这个字段是Double 类型,该默认值为null
如果该字段是double 类型的话,该默认值为0.0
如果扣费系统对于该费率返回值没做特殊处理的话,拿到null 值进行计算会直接报错,阻断程序。
拿到0.0 可能就直接进行计算,得出接口为0 后进行扣费了。这种异常情况就无法被感知。
这种使用包装类型定义变量的方式,通过异常来阻断程序,进而可以被识别到这种线上问题。
如果使用基本数据类型的话,系统可能不会报错,进而认为无异常。<br>
以上,就是建议在POJO 和RPC 的返回值中使用包装类型的原因。
对于布尔类型的变量,我认为可以和其他类型区分开来,作者并不认为使用null 进而导致NPE 是一种最好的实践。
因为布尔类型只有true/false 两种值,完全可以和外部调用方约定好当返回值为false 时的明确语义。
最终达成共识,还是尽量使用包装类型,尽量避免在你的代码中出现不确定的null 值。
总结
在定义一个布尔类型的变量,尤其是一个给外部提供的接口返回值时,要使用success 来命名,<br>Java 开发手册建议使用封装类来定义POJO 和RPC 返回值中的变量。但是这不意味着<br>可以随意的使用null,我们还是要尽量避免出现对null 的处理的。
Integer.parseInt(s, radix)实现进制转换解析
自带的Integer.parseInt(s, radix)可以转化十进制为16进制
其中s为输入字符串,radix为进制数
返回值为int型十进制整数。
样例代码
Integer.parseInt(s, radix)
子主题
注意Integer.parseInt 方法的使用
子主题<br>
子主题
常见问题
int和Integer有什么区别?
int默认值是0,Integer默认值是null。
int是基本类型,Integer是引用类型。
Integer范围是-128~127 int的范围是-2^31~(2^31)-1。
包装类型的使用
包装类型为何会提出来?
与基本数据类型的区别?
Java基本语法
基础语法<br>
大小写敏感
Java是对大小写敏感的语言
例如Hello与hello是不同的,这其实就是Java的字符串表示方式
类名
对于所有的类来说,首字母应该大写
例如MyFirstClass
包名
包名应该尽量保证小写
例如my.first.package
方法名
方法名首字母需要小写,后面每个单词字母都需要大写
例如myFirstMethod()
方法的定义
修饰符 返回值类型 方法名(参数列表){<br><br> //代码<br><br> return 返回值;<br><br> }
修饰符:public static
如果返回值类型为void,则表示没有返回值
参数列表:方法在运算过程中的未知数据,调用者调用方法时传递
return:将方法执行后的结果带给调用者,方法执行到 return ,整体方法运行结束
注意:
在定义一个方法时,要明确返回值和参数列表;<br>
该方法返回值的类型,形参的类型和数量(一个方法只能有一个返回值)
不能在return后面写代码,return代表着方法的结束,后面的代码将永远不会执行<br> return后面参数的类型要与返回值类型一致
实例
方法的定义实例
形参和实参的区别
形参<br>
在定义函数名和函数体时,使用的参数
目的
用来接收调用该函数时传入的参数
在调用函数时,实参将赋值给形参
实参
可以是常量、变量、表达式、函数等
无论实参是何种类型的量,在函数调用时,它们都必须具有确定的值, 以便把这些值传送给形参。
标识符与关键字
标识符<br>
用来标识类名、变量名、方法名、类型名、数组名、文件名的有效字符序列称为标识符。<br>
简单地说,标识符就是一个名字。
关于标识符的语法规则
标识符由字母、下划线、美元符号和数字组成,长度不受限制。<br>
<div class="mind-clipboard">标识符的第一个字符不能是数字字符。</div>
标识符不能是关键字
标识符不能是true、false和null
关键字<br>
关键字就是Java语言中已经被赋予特定意义的一些单词。<br>
不可以把关键字做为标识符来用。
运算符
什么是运算符?
运算符不只Java中有,其他语言也有运算符,
运算符是一些特殊的符号,
主要用于数学函数、一些类 型的赋值语句和逻辑比较方面
Java提供了丰富的运算符
Java的运算符<br>
赋值运算符
赋值运算符使用操作符=来表示
赋值运算符:=<br>
赋值运算符是二目运算符,左面的操作元必须是变量,不能是常量或表达式。<br>
赋值运算符的优先级较低,是14级,结合方向右到左。
赋值表达式的值就是“=”左面变量的值。<br>
把=号右边的值复制给左边
右边的值可以是任何常 数、变量或者表达式
左边的值必须是一个明确的,已经定义的变量。比如int a = 4
复制的不是对象的值,而是对象的引用
对于对象来说,复制的不是对象的值,而是对象的引用
将一个对象复制绐另一个对象,实际上是将一个对象的引用赋值给另一个对象。
注意:不要将赋值运算符“=”与等号逻辑运算符“==”混淆。<br>
算术运算符
算数运算符就和数学中的数值计算差不多
加减运算符: +,-<br>
二目运算符
结合方向是从左到右
操作元是整型或浮点型数据
优先级是4级
乘、除和求余运算符: *,/,%<br>
二目运算符<br>
结合方向是从左到右
操作元是整型或浮点型数据
优先级是3级
图解算数运算符
图解算数运算符
算术表达式<br>
用算术符号和括号连接起来的符合java语法规则的式子 <br>
优先级问题
当一个表达式中存在多个操作符时,操作符的优先级顺序就 决定了计算顺序<br>
最简单的规则就是先乘除后加减,()的优先级最高
没必要记住所有的优先级顺 序,不确定的直接用0就可以了
算术混合运算的精度
精度从“低”到“高”排列顺序
byte short char int long float double<br>
Java在计算算术表达式的值时,使用下列计算精度规则
1.如果表达式中有双精度浮点数(double型数据),则按双精度进行运算。<br>
2.如果表达式中最高精度是单精度浮点数(float型数据),则按单精度进行运算。
3.如果表达式中最高精度是long型整数,则按long精度进行运算。
4.如果表达式中最高精度低于int型整数,则按int精度进行运算。
自增、自减运算符
举例
自增、自减运算符:++,--<br>
单目运算符
可以放在操作元之前,也可以放在操作元之后
操作元必须是一个整型或浮点型变量。
作用是使变量的值增1或减1
++x(--x)表示在使用x之前,先使x的值增(减)1<br>
x++(x--)表示在使用x之后,使x的值增(减)1
比较运算符/关系运算符
用于程序中的变量之间,变量和自变量之间以及其他类型的信息之间的比较。
二目运算符,用来比较两个值的关系。
关系/比较运算符的运算结果是boolean型
当运算符对应的关系成立时,运算结果是true,否则是false。
共有6个,通常作为判断的依据用于条件语句中。
图解比较运算符
图解比较运算符
=与==的区别,错题集
子主题
子主题
由于java和C语言的不同处理机制导致的:<br>
C语言中<br>当if语句中的条件为赋值语句时,实际上是将赋值后的结果与0进行比较【左值】<br>if(1) 由于1>0 所以认为是true
java语言中<br>虽然也用了左值,但是不再与0比较,而是直接将0放入if()中<br>但是int类型,不能转换为boolean,所以会报错:“ Type mismatch: cannot convert from int to boolean ”
if()语句括号中为比较表达式,返回值要么是true,要么是false,
<br>if(x=y)是将y赋值给x,但是数据类型是int类型的,编译不能通过,<br>如果把代码改为这样:<br>boolean x = false;<br>boolean y = ture;<br>if(x=y){...}这样就就不会报错了,编译正常通过。<br>1、Java中,赋值是有返回值的 ,赋什么值,就返回什么值。比如这题,x=y,返回y的值,所以括号里的值是1。<br>2、Java跟C的区别,C中赋值后会与0进行比较,如果大于0,就认为是true;而Java不会与0比较,而是直接把赋值后的结果放入括号。
逻辑运算符
主要有三种
与、或、非
&&,||,!<br>
其中&&、||为二目运算符,实现逻辑与、逻辑或;<br>
!为单目运算符,实现逻辑非<br>
操作元必须是boolean型数据
可以用来连接关系表达式
逻辑运算符
下面是逻辑运算符对应的true/false符号表
逻辑运算符对应的true/false符号表
逻辑运算符对应的true/false符号表
讲讲&和&&的区别<br>
&是逻辑与,&&是短路与。
短路与只要与左边的条件为false就能判断整个条件为false,而逻辑与两边都需要判断。
按位运算符/位运算符<br>
对两个整型数据实施位运算,即对两个整型数据对应的位进行运算得到一个新的整型数据。<br>
按位运算符用来操作整数基本类型中的每个比特位,也就是二进制位。
按位操作符会对两个参数中对 应的位执行布尔代数运算,并最终生成一个结果。
图解
图解
如果比较的双方是数字,那么进行比较就会变成按位运算符
按位与
按位进行与运算(AND)
两个操作数中位都为1,结果才为1,否则结果为0。
需要首先把比 较双方转换成二进制再按每个位进行比较
“按位与”运算符“&”是双目运算符
按位或
按位进行或运算(OR)
两个位只要有一个为1,那么结果就是1,否则就为0。
“按位或”运算符:“|”是二目运算符
按位非
按位进行异或运算(XOR)
如果位为0,结果是1,如果位为1,结果是0。
“按位非”运算符:“~”是单目运算符。<br>
按位异或
按位进行取反运算(NOT)
两个操作数的位中,相同则结果为0,不同则结果为1。
“按位异或”运算符:“^”是二目运算符。 <br>
移位运算符
移位运算符用来将操作数向某个方向(向左或者右)移动指定的二进制位数。
图解
图解
三元运算符
三元运算符是类似if...else...这种的操作符
语法为:条件表达式?表达式1:表达式2。
问号 前面的位置是判断的条件,判断结果为布尔型,为true时调用表达式1,为false时调用表达式2。
instanceof 运算符 <br>
instanceof 运算符是二目运算符
instanceof是双目运算符
类似于==,>,< 等操作符。
instanceof 是Java 的一个二元操作符,
instanceof运算符是Java独有的运算符号。<br>
instanceof 是Java 的保留关键字
它的作用是测试它左边的对象是否是它右边的类的实例,返回boolean 的数据类型。
其左面的操作元是一个对象,右面的操作元是一个类,
当左面的对象是右面的类或子类创建的对象时,该运算符运算的结果是true ,否则是false。 <br>
当左面的操作元是右面的类或子类所创建的对象时,instanceof运算的结果是true,否则是false。 <br>
以下实例创建displayObjectClass() 方法来演示Java instanceof 关键字用法
演示Java instanceof 关键字用法
运算符的优先级
运算符的优先级,决定了表达式中运算执行的先后顺序
在编写程序时,尽量使用括号()运算符号,来实现想要的运算次序,以免产生难以阅读或含糊不清的计算顺序<br>
运算符的结合性,决定了并列的相同级别运算符的先后顺序
运算符的优先级和结合性<br>
运算符的优先级和结合性
表达式
Java的表达式就是用运算符连接起来的符合Java规则的式子。
与Null有关的事
说明
对于Java程序员来说,空指针一直是恼人的问题,在开发中经常会受到NullPointerException的 蹂躏和壁咚。<br>
Java的发明者也承认这是一个巨大的设计错误。
那么关于null,你应该知道下面这几件事情来有效的了解null,从而避免很多由null引起的错误。
特性
大小写敏感
首先,null是Java中的关键字,像是public、static、final。
它是大小写敏感的,不能将null写成Null或NULL,编辑器将不能识别它们然后报错。
这个问题已经几乎不会出现,因为eclipse和Idea编译器已经绐出了编译器提示,所以不用考虑这个问题。
null是任何引用类型的初始值
null是所有引用类型的默认值,Java中的任何引用变量都将null作为默认值
所有Object类下的引用类型默认值都是null。
这对所有的引用变量都适用。
就像是基本类型的默认值一样,例如int 的默认值是0, boolean的默认值是false。
null只是一种特殊的值
null既不是对象也不是一种类型
它仅是一种特殊的值
可将它赋予任何类型,可将null转换 为任何类型
在编译期和运行期内,将null转换成任何的引用类型都是可行的,并且不会抛出空指针异常。<br>
举例<br>
null只能赋值给引用变量,不能赋值给基本类型变量。
持有null的包装类在进行自动拆箱时,不能完成转换,会抛出空指针异常,并且null也不能和基本数据类型进行对比
举例
使用了带有null值的引用类型变量,instanceof操作会返回false
说明
这是instanceof操作符一个很重要的特性,使得对类型强制转换检查很有用<br>
静态变量为null调用静态方法不会抛出NullPointerException。因为静态方法使用了静态绑定。
关于null的几种处理方式
使用Null-Safe方法
使用null-safe安全的方法
java类库中有很多工具类都提供了静态方法,例如基本数据类型的 包装类。
尽量使用对象的静态方法
例如
number没有赋值,所以默认为null
使用String.value(number)静态方法,没有抛出空指针异常,
但是使用toString()却抛出了空指针异常。
null判断
可以使用==或者!=操作来比较null值,但是不能使用其他算法或者逻辑操作,例如小于或者 大于。
跟SQL不一样,在Java中null == null将返回true,
如下所示:
如下所示:null判断
图解关于null的几种处理方式
图解关于null的几种处理方式
Java中的六类语句概述
1.方法调用语句
如:System.out.println(" Hello");<br>
2.表达式语句
表示式尾加上分号。<br>
比如赋值语句:x=23;
3.复合语句<br>
可以用{ }把一些语句括起来构成复合语句
{ <br> z=123+x;<br> System.out.println("How are you");<br> }<br>
4.空语句
一个分号也是一条语句,称做空语句。<br>
5.控制语句
Java执行控制流程
Java中的控制流程其实和C —样,
在Java中,流程控制会涉及多种
控制语句分为
条件语句/条件分支语句
可根据不同的条件执行不同的语句
条件分支语句按着语法格式可细分为三种形式
if条件语句
if条件语句<br>
if语句可以单独判断表达式的结果,
表示表达的执行结果
if语句是单条件分支语句,即根据一个条件来控制程序执行的流程。<br>
if 语句的语法格式
if(表达式){ <br> 若干语句<br> } <br>
if 语句的语法格式
if...else条件语句
if语句还可以与else连用,
通常表现为如果满足某种条件,就进行某种处理,否则就进行另一种处理。
if-else 语句是双条件分支语句,即根据一个条件来控制程序执行的流程。<br>
if后的0内的表达式必须是boolean型的。
如果为true,则执行if后的复合语句;
如果为false,则执 行else后的复合语句。
if-else 语句的语法格式:
if(表达式) {<br> 若干语句<br> } else {<br> 若干语句<br> } <br>
有语法错误的if-else语句 :×<br>if(x>0)<br> y=10;<br> z=20;<br>else<br> y=-100;<br>
正确的写法是:√<br>if(x>0){<br> y=10;<br> z=20;<br>}<br>else<br> y=100; <br>
图解if...else条件语句
if...else条件语句
if...else if多分支语句
上面中的if...else是单分支和两个分支的判断
如果有多个判断条件,就需要使用if...else if
多条件分支语句,即根据多个条件来控制程序执行的流程。 <br>
if...else if多分支语句的语法格式:
if(表达式) {<br> 若干语句<br> } else if(表达式) {<br> 若干语句<br> }<br>… …<br>else {<br> 若干语句<br> } <br>
图解if...else if多分支语句
图解if...else if多分支语句
开关语句
在条件判断语句(if语句)过多时,可以使用开关语句来编写。<br>
switch多分支语句
一种比if...else if语句更优雅的方式是使用switch多分支语句
switch开关语句
switch 语句是单条件多分支的开关语句,: <br>
开关语句的基本结构是:它的一般格式定义如下
switch(整数){<br> case 整数值 1: 语句; break;<br> case 整数值 2: 语句; break;<br> case 整数值 3: 语句; break;<br> ……………………..<br> default: 语句;<br>}
switch(表达式) {<br> case 常量值1:<br> 若干个语句<br> break;<br> case 常量值2:<br> 若干个语句<br> break;<br> ...<br> case 常量值n:<br> 若干个语句<br> break;<br> default:<br> 若干语句<br>}<br>
(其中break语句是可选的)
循环语句
在满足一定的条件下,反复执行某一表达式的操作,直到满足循环语句的要求。<br>
包括
while循环语句
利用一个条件来控制是否要继续反复执行这个语句。
while循环语句的格式
while循环语句的格式
当(布尔值)为true候,执行下面的表达式,
布尔值为false时,结束循环,
布尔 值其实也是一个表达式
布尔 值其实也是一个表达式
while语句的语法格式
while (表达式) {<br> 若干语句 <br> }<br>
while语句的执行规则
(1)计算表达式的值,如果该值是true时,就进行(2),否则执行(3)。 <br>(2)执行循环体,再进行(1)。 <br>(3)结束while语句的执行。 <br>
图解while循环语句
图解while循环语句
do...while 循环
while与do...while循环的唯一区别是do...while语句至少执行一次,即使第一次的表达式为false。
在while循环中,如果第一次条件为false,那么其中的语句根本不会执行。
在实际应用中,while要比 do...while应用的更广。
一般形式如下
do...while 循环
do-while语句的语法格式
do {<br> 若干语句<br> } while(表达式); <br>
do- while语句的执行规则
(1)执行循环体,再进行(2)。
(2)计算表达式的值,如果该值是true时,就进行(1),否则执行(3)。
(3)结束while语句的执行。
图解do...while 循环
图解do...while 循环
for循环语句
for循环是我们经常使用的循环方式,这种形式会在第一次迭代前进行初始化。
它的形式如下,for语句的语法格式
for循环语句
for (表达式1; 表达式2; 表达式3) {<br> 若干语句 <br> } <br>
每次迭代前会测试布尔表达式。如果获得的结果是false,就会执行for语句后面的代码;每次循环结 束,会按照步进的值执行下一次循环。
逗号操作符
这里不可忽略的一个就是逗号操作符
Java里唯一用到逗号操作符的就是for循环控制语句
在表达式 的初始化部分,可以使用一系列的逗号分隔的语句
通过逗号操作符,可以在for语句内定义多个变 量,但它们必须具有相同的类型
举例
举例
for语句的执行规则
(1)计算“表达式1”,完成必要的初始化工作<br>
(2)判断“表达式2”的值,若“表达式2”的值为true,则进行(3),否则进行(4)
(3)执行循环体,然后计算“表达式3”,以便改变循环条件,进行(2)
(4)结束for语句的执行<br>
for循环语句
for-each 语句
在Java JDK 1.5中还引入了一种更加简洁的、方便对数组和集合进行遍历的方法,即for-each语 句
举例
for-each 语句
跳转语句
Java语言中的三种跳转语句
break、continue和return
用关键break或continue加上分号构成的语句
在循环体中可以使用break语句和continue语句
包括
break语句<br>
在switch中已经见到了,它是用于终止循环的操作
如果在某次循环中执行了break语句,那么整个循环语句就结束。<br>
实际上break语句在for、while、 do while循环语句中,用于强行退出当前循环
break语句
continue 语句
continue也可以放在循环语句中
它与break语句具有相反的效果
如果在某次循环中执行了continue语句,那么本次循环就结束,即不再执行本次循环中循环体中continue语句后面的语句,而转入进行下一次循环。
它的作用是用于执行下一次循环, 而不是退出当前循环
continue 语句的使用
continue 语句<br>
continue 语句的使用
continue 语句
return语句<br>
return语句可以从一个方法返回,并把控制权交绐调用它的语句。
return语句
6.package语句和 import语句
和类、对象有关
import 语句 <br>
一个类可能需要另一个类声明的对象作为自己的成员或方法中的局部变量,如果这两个类在同一个包中,当然没有问题。 <br>
如果一个类想要使用的那个类和它不在一个包中,要使用import语句完成使命。
引入类库中的类
如果用户需要类库中的类就必须使用import语句
如: import java.util.Date;
引入自定义包中的类
用户程序可以使用tom.jiafei包中的类<br>
如:import tom.jiafei.*;
使用非类库中有包名的类,也要使用import语句。<br>
使用无包名的类
在源文件中一直没有使用包语句,因此各个源文件得到的类都没有包名。
如果一个源文件中的类想使用无名包中的类,只要将这个无包名的类的字节码和当前类保存在同一目录中即可。
避免类名混淆
区分无包名和有包名的类
如果一个源文件使用了一个无名包中的A类,同时又用import语句引入了某个有包名的同名的类,如tom.jiafei中的A类,就可能引起类名的混淆。 <br>
区分有包名的类
如果一个源文件引入了两个包中同名的类,那么在使用该类时,不允许省略包名 。<br>
package语句
包是Java语言中有效地管理类的一个机制
包名的目的
有效的区分名字相同的类
不同Java源文件中两个类名字相同时,它们可以通过隶属不同的包来相互区分。 <br>
包语句
通过关键字package声明包语句。<br>
package语句作为Java源文件的第一条语句,为该源文件中声明的类指定包名。<br>
package语句的一般格式为
package 包名; <br>
例如
package sunrise;<br>
package sun.com.cn;
有包名的类的存储目录
如果一个类有包名,那么就不能在任意位置存放它,否则虚拟机将无法加载这样的类。
程序如果使用了包语句<br>
例如:package tom.jiafei;
那么存储文件的目录结构中必须包含有如下的结构
…\tom\jiafei
如c:\1000\tom\jiafei<br>
并且要将源文件编译得到的类的字节码文件保存在目录
c:\1000\tom\jiafei中
(源文件可以任意存放)
运行有包名的主类
如果主类的包名是
tom.jiafei
那么主类的字节码一定存放在该目录中
…\tom\jiefei<br>
运行时必须到{ }的上一层(即tom的父目录)目录中去运行主类。<br>
tom\jiefei
假设tom\jiefei的上一层目录是1000,那么,必须如下格式来运行: C:\1000\java tom.jiafei.主类名 <br>
注:主类名是:“包名.主类名”<br>
Java中的各种变量
实例变量<br>
是什么?
又被称为Instance variables
在声明成员变量时,用关键字static给予修饰的称作类变量,否则称作实例变量
class Dog {<br> float x; //实例变量<br> static int y; //类变量<br> } <br>
如何识别实例变量?如何知道一个变量它是实例变量呢?实例变量的定义规则
实例变量可以使用四种访问修饰符修饰<br>
public
protected
default
private
实例变量<font color="#ff00ff">可以</font>使用以下关键字进行修饰
transient
final
实例变量<font color="#ff00ff">不可以</font>使用以下关键字进行修饰
abstract
synchronized
strict fp
native
static
实例变量带有默认值,实例变量不用初始化就能使用
实例变量不用强制初始化,它有自己的默认值。
常用实例变量的初始值
在任何方法、构造方法、块之外的变量都是实例变量
实例变量的只能在类中声明,但是在方法、构造函数或任何块之外。
当在为堆中对象分配空间时,将为每个实例变量分配一块区域。
实例变量只能通过创建对象来使用<br>
当使用new关键字进行创建对象时, 实例变量同时也被创建
当垃圾回收器回收对象时,实例变量也会被销毁
每个对象都有自己的一个实例变量的副本<br>
因此在一个对象中修改变量,不会对其他对象中的实例变量造成影响
实例变量不会在实例之间共享,每一个对象的实例都有自己的一个实例变量
实例变量只能通过创建对象引用来使用。
实例变量都是基于特定实例的
实例变量和类变量的区别 <br>
不同对象的实例变量互不相同
所有对象共享类变量 <br>
通过类名直接访问类变量 <br>
实例变量例子
<div>实例变量<br></div>
实例变量的调用例子
实例变量的调用
全局变量(Java中不存在)
是什么?
又被称为Global variables
其他语言(C、C++)才存在全局变量
如果你有其他语言的编程经验, 比如C、C++的话<br>
创建全局变量例子
你会接触到全局变量这个概念
C、C++中创建全局变量例子
C、C++中创建全局变量例子
在Java中, 是不存在全局变量的,Why?
因为Java是一门面向对象的编程语言, 所有的内容都是属于类的一部分。<br>
Java这么做的原因是:为了防止数据和类成员被其他程序的其他部分有意或者无意的修改。<br>
在Java中, 使用静态变量来起到全局访问的目的
静态变量<br>
是什么?
又被称为Static variables
静态变量的定义比较简单
静态变量是属于该类的变量
静态变量的特点
静态变量只能使用static关键字进行修饰<br>
它不能在方法中进行声明, 不论是静态方法还是非静态方法。
它是由static关键字来修饰的
static修饰的变量属于静态变量
它只能定义在类的内部、方法的外部。
图解
静态变量只能使用static关键字进行修饰
静态变量会在程序运行前进行初始化,并且只初始化一次。<br>
静态变量会有一个初始化顺序
静态变量的所有实例共享同一个副本<br>
静态变量只有一个
它不会随着对象实例的创建而进行副本拷贝
静态变量可以通过类名.变量名进行访问,并且不需要创建任何对象就能访问
举例
静态变量可以通过类名.变量名进行访问
可以在非静态方法中使用静态变量
类变量(Java中类变量就是静态变量)
是什么?
又被称为Class variables<br>
类变量,也称为static变量,静态变量
在Java中, 类变量就是静态变量, 它们都用static关键字进行修饰
如果你再听到说静态变量时,它也就是类变量。
类变量存放在JVM的方法区
常量(静态变量+final关键字)
类变量(静态属性/静态变量), 可以添加关键字final来表示常量。
局部变量
局部变量是什么?
又称为Local variables
指的是在方法中、构造器中或者块代码中定义的变量。
不管上面的一些变量概念如何变换、局部变量都站如松,坐如钟,行如风,卧如弓,从容应对各种不同文章的比较。<br>
真是一个省事的变量。
在方法体中声明的变量和方法的参数<br>
方法的基本组成
方法声明
方法名称
方法的参数
方法的返回类型,返回值
方法体
局部变量的有效范围
生命周期随方法、构造器、代码块的执行完毕而销毁。<br>
局部变量只在声明它的方法内有效
局部变量的有效性与其声明的位置有关。
方法的参数在整个方法内有效
方法内的局部变量从声明它的位置之后开始有效
如果局部变量的声明是在一个复合语句中,那么该局部变量的有效范围是该复合语。
局部变量存放在JVM的栈内存中<br>
特点
局部变量定义在方法、构造器或者代码块中<br>
局部变量的生命周期随方法、构造器、代码块的执行完毕而销毁
不能使用访问修饰符
例如
局部变量不能使用访问修饰符<br>
局部变量仅在方法的声明、构造函数或者块内可见<br>
局部变量只能在调用这些方法、构造函数或者块的内部使用
局部变量没有默认值
局部变量应该在第一次使用或者声明时,就应该初始化完成
例如
局部变量应该在第一次使用或者声明时,就应该初始化完成
成员变量(统称)<br>
(StackFlow的网友回复)实例变量和类变量都称为成员变量
变量声明部分所声明的变量,被称做域变量或成员变量
成员变量存放在JVM的堆内存<br>
类的实现包括两部分
类声明
例如:<br>class Vehicle {<br> ……<br>}<br>
“class Vehicle”称作类声明;<br>
“Vehicle”是类名。
class 类名
类体
类声明之后的一对大括号“{”,“}”以及它们之间的内容称作类体,大括号之间的内容称作类体的内容。 <br>
类体的内容由两部分构成<br>
变量的声明<br>
刻画属性
变量声明部分所声明的变量,被称做域变量或成员变量
方法的定义
刻画功能。
JDK官网手册中关于Variables变量的定义
在Java中, 只有三中类型的变量
定义在类中的成员变量<br>
属性
定义在方法(包含构造方法)或者块代码中的变量
局部变量
定义在方法定义中的变量
参数
在Java中, 只有下面几种类型的变量
实例变量(非静态属性)
非静态属性也就被称为实例变量,因为它们的值是相对于每个实例来说的。<br>
换句话说,对于每个对象来讲,实例变量的值都是唯一的;
定义在构造方法、代码块、方法外的变量被称为实例变量
实例变量的副本数量和实例的数量一样。
类变量(静态属性)
类变量就是使用static修饰符声明的字段<br>
这就会告诉编译器:无论该类被实例化了多少次, 该变量只存在一个副本。
另外, 可以添加关键字final来表示常量。
局部变量
没有特殊的关键字将制定的变量声明为局部变量、确定其声明的完全取决于声明变量的位置。
定义在方法、构造方法、代码块内的变量被称为局部变量;
参数<br>
定义在方法参数中的变量被称为参数
平常用到最多的方法是什么方法?当然是main方法啊,<br>
<div class="mind-clipboard"> main方法是怎么定义的?</div>
public static void main(String args)
中的args是不是就是Strng的数组的变量, 也称其为参数,
参数也没有关键字进行声明,标识其为参数也只是取决于其声明位置。<br>
成员变量的类型
可以是Java中的任何一种数据类型
基本类型
引用类型:数组、对象和接口
成员变量的有效范围
成员变量在整个类内都有效
其有效性与它在类体中书写的先后位置无关。
成员变量和方法作用域
对于成员变量和方法的作用域,public,protected,private 以及不写之间的区别:
public : 表明该成员变量或者方法是对所有类或者对象都是可见的,所有类或者对象都可以直接访问。
private : 表明该成员变量或者方法是私有的,只有当前类对其具有访问权限,除此之外其他类或者对象都没有访问权限.子类也没有访问权限。
protected : 表明成员变量或者方法对类自身,与同在一个包中的其他类可见,其他包下的类不可访问,除非是他的子类。
default : 表明该成员变量或者方法只有自己和其位于同一个包的内可见,其他包内的类不能访问,即便是它的子类。
成员变量的隐藏
对于子类可以从父类继承的成员变量,<br>
只要子类中声明的成员变量和父类中的成员变量同名时,子类就隐藏了继承的成员变量,
子类自己声明定义的方法操作与父类同名的成员变量是指子类重新声明定义的这个成员变量。
区分成员变量和局部变量<br>
如果局部变量的名字与成员变量的名字相同,则成员变量被隐藏,即这个成员变量在这个方法内暂时失效
如果想在该方法中使用被隐藏的成员变量,必须使用关键字this <br>
注意事项
对成员变量的操作只能放在方法中,
方法可以对成员变量和该方法体中声明的局部变量进行操作。
在声明成员变量时,可以同时赋予初值,但是不可以在类体中有单独的赋值语句
不可以有变量的声明和方法的定义以外的其它语句
Java中到底有哪些变量
用static来定义变量
只能是类变量、或者说静态变量<br>
而且其定义位置只能在类中, 方法或代码块外,变量的副本只有一个。
不用static来声明变量,则有三种变量的叫法
定义在构造方法、代码块、方法外的变量被称为实例变量,实例变量的副本数量和实例的数量一样。<br>
定义在方法、构造方法、代码块内的变量被称为局部变量;
定义在方法参数中的变量被称为参数。
图解Java中到底有哪些变量
图解Java中到底有哪些变量
图解Java中到底有哪些变量
上面定义的三个变量中
变量a 就是类变量
变量b 就是成员变量
而变量c 和d 是局部变量
变量的编程风格<br>
(1)一行只声明一个变量。 <br>
(2)变量的名字符合标识符规定。
(3)变量名字见名知意,避免容易混淆的变量名字。
if-else代码优化的N种方案
如何优化if else ?
代码中如果if-else比较多,阅读起来比较困难,维护起来也比较困难,很容易出bug
优化方案一:提前return,去除不必要的else
如果if-else代码块包含return语句,可以考虑通过提前return,把多余else干掉,使代码更加优雅。
卫语句
卫语句(guard clauses)是一种改善嵌套代码的优化代码。
将经过多级嵌套的代码使用卫语句优化之后,代码嵌套层数可以降低,因此改使用卫语句能降低代码的复杂程度。
卫语句是通过对原条件进行逻辑分析,将某些要害(guard)条件优先作判断,从而简化程序的流程走向,因此称为卫语句。
卫语句往往用于对 if 条件嵌套代码的优化。
卫语句的概念在拥有 if 语句的算法语言中更常见,如 Java、C++、C、Python、JavaScript 等。
比如
优化前
if(condition){<br> //doSomething<br>}else{<br> return ;<br>}
优化后
if(!condition){<br> return ;<br>}<br>//doSomething
比如
下面的 Java 代码的最大嵌套层数是 3(方法本身也算一层)
子主题
当使用了卫语句进行重构之后,最大嵌套层数变成了 2
子主题
比如
子主题
优化方案二:使用条件三目运算符
使用条件三目运算符可以简化某些if-else,使代码更加简洁,更具有可读性。
优化前
int price ;<br>if(condition){<br> price = 80;<br>}else{<br> price = 100;<br>}
优化后
int price = condition?80:100;
优化方案三:使用枚举
在某些时候,使用枚举也可以优化if-else逻辑分支,按个人理解,它也可以看做一种表驱动方法。
优化前
String OrderStatusDes;<br>if(orderStatus==0){<br> OrderStatusDes ="订单未支付";<br>}else if(OrderStatus==1){<br> OrderStatusDes ="订单已支付";<br>}else if(OrderStatus==2){<br> OrderStatusDes ="已发货"; <br>}<br>...
优化后
先定义一个枚举
public enum OrderStatusEnum {<br> UN_PAID(0,"订单未支付"),PAIDED(1,"订单已支付"),SENDED(2,"已发货"),;<br> <br> private int index;<br> private String desc;<br><br> public int getIndex() {<br> return index;<br> }<br><br> public String getDesc() {<br> return desc;<br> }<br><br> OrderStatusEnum(int index, String desc){<br> this.index = index;<br> this.desc =desc;<br> }<br><br> OrderStatusEnum of(int orderStatus) {<br> for (OrderStatusEnum temp : OrderStatusEnum.values()) {<br> if (temp.getIndex() == orderStatus) {<br> return temp;<br> }<br> }<br> return null;<br> }<br>}
有了枚举之后,以上if-else逻辑分支,可以优化为一行代码
String OrderStatusDes = OrderStatusEnum.0f(orderStatus).getDesc();
优化方案四:合并条件表达式
如果有一系列条件返回一样的结果,可以将它们合并为一个条件表达式,让逻辑更加清晰。
优化前
double getVipDiscount() {<br> if(age<18){<br> return 0.8;<br> }<br> if("深圳".equals(city)){<br> return 0.8;<br> }<br> if(isStudent){<br> return 0.8;<br> }<br> //do somethig<br> }
优化后
double getVipDiscount(){<br> if(age<18|| "深圳".equals(city)||isStudent){<br> return 0.8;<br> }<br> //doSomthing<br> }
优化方案五:使用 Optional
有时候if-else比较多,是因为非空判断导致的,这时候你可以使用java8的Optional进行优化。
优化前
String str = "jay@huaxiao";<br>if (str != null) {<br> System.out.println(str);<br>} else {<br> System.out.println("Null");<br>}
优化后
Optional<String> strOptional = Optional.of("jay@huaxiao");<br>strOptional.ifPresentOrElse(System.out::println, () -> System.out.println("Null"));
优化方案六:表驱动法
表驱动法,又称之为表驱动、表驱动方法。
表驱动方法是一种使你可以在表中查找信息,而不必用很多的逻辑语句(if或Case)来把它们找出来的方法。
以下的demo,把map抽象成表,在map中查找信息,而省去不必要的逻辑语句。
优化前
if (param.equals(value1)) {<br> doAction1(someParams);<br>} else if (param.equals(value2)) {<br> doAction2(someParams);<br>} else if (param.equals(value3)) {<br> doAction3(someParams);<br>}<br>// ...
优化后
Map<?, Function<?> action> actionMappings = new HashMap<>(); // 这里泛型 ? 是为方便演示,实际可替换为你需要的类型<br><br>// 初始化<br>actionMappings.put(value1, (someParams) -> { doAction1(someParams)});<br>actionMappings.put(value2, (someParams) -> { doAction2(someParams)});<br>actionMappings.put(value3, (someParams) -> { doAction3(someParams)});<br><br>// 省略多余逻辑语句<br>actionMappings.get(param).apply(someParams);
优化方案七:优化逻辑结构,让正常流程走主干
优化前
public double getAdjustedCapital(){<br> if(_capital <= 0.0 ){<br> return 0.0;<br> }<br> if(_intRate > 0 && _duration >0){<br> return (_income / _duration) *ADJ_FACTOR;<br> }<br> return 0.0;<br>}
优化后
public double getAdjustedCapital(){<br> if(_capital <= 0.0 ){<br> return 0.0;<br> }<br> if(_intRate <= 0 || _duration <= 0){<br> return 0.0;<br> }<br> <br> return (_income / _duration) *ADJ_FACTOR;<br>}<br>
将条件反转使异常情况先退出,让正常流程维持在主干流程,可以让代码结构更加清晰。
优化方案八:策略模式+工厂方法消除if else
假设需求为,根据不同勋章类型,处理相对应的勋章服务,
优化前有以下代码
String medalType = "guest";<br> if ("guest".equals(medalType)) {<br> System.out.println("嘉宾勋章");<br> } else if ("vip".equals(medalType)) {<br> System.out.println("会员勋章");<br> } else if ("guard".equals(medalType)) {<br> System.out.println("展示守护勋章");<br> }<br> ...
优化后的代码
首先,我们把每个条件逻辑代码块,抽象成一个公共的接口,可以得出以下代码:
//勋章接口<br>public interface IMedalService {<br> void showMedal();<br>}
我们根据每个逻辑条件,定义相对应的策略实现类,可得以下代码:
//守护勋章策略实现类<br>public class GuardMedalServiceImpl implements IMedalService {<br> @Override<br> public void showMedal() {<br> System.out.println("展示守护勋章");<br> }<br>}<br>//嘉宾勋章策略实现类<br>public class GuestMedalServiceImpl implements IMedalService {<br> @Override<br> public void showMedal() {<br> System.out.println("嘉宾勋章");<br> }<br>}<br>//VIP勋章策略实现类<br>public class VipMedalServiceImpl implements IMedalService {<br> @Override<br> public void showMedal() {<br> System.out.println("会员勋章");<br> }<br>}
接下来,我们再定义策略工厂类,用来管理这些勋章实现策略类,如下:
//勋章服务工产类<br>public class MedalServicesFactory {<br><br> private static final Map<String, IMedalService> map = new HashMap<>();<br> static {<br> map.put("guard", new GuardMedalServiceImpl());<br> map.put("vip", new VipMedalServiceImpl());<br> map.put("guest", new GuestMedalServiceImpl());<br> }<br> public static IMedalService getMedalService(String medalType) {<br> return map.get(medalType);<br> }<br>}
使用了策略+工厂模式之后,代码变得简洁多了,如下:
public class Test {<br> public static void main(String[] args) {<br> String medalType = "guest";<br> IMedalService medalService = MedalServicesFactory.getMedalService(medalType);<br> medalService.showMedal();<br> }<br>}
过多条件语句的替换方案-策略模式<br>
子主题
优化方案九:策略模式 + 反射解决方法
业务场景
外包企业的审批人需要审批打卡的场景;<br>审批人分为多种不同的级别,多种级别中具有方式相同但是内容不同的操作:审批。
原来场景
有前端传来审批人参数,使用if-else 来判断该审批人的级别属于哪一个级别,执行相应的审批方法。
每一个审批方法写在了业务类底,命名采用1级审批,2级审批---等等的命名方式来命名。
问题
if - else 逻辑复杂,不易阅读,函数中审批能抽象的地方未抽象,
test测试非常麻烦,新增审批人员需要对代码进行修改,违背开闭原则。
解决过程
抽象审批中的原子操作的代码,比如查询对应级别所审批的同学名单。代码变得好看一些,但是任然未解决,if - else 和 多个 审批方法的实现。
尝试策略模式
使用策略模式将每个级别的用户抽象起来
子主题
Main
package strategy;<br>public class Main {<br> public static void main(String[] args) {<br> if (LevelEnum.LEVEL1.equals(1)) {<br> SupervisorControl supervisorControl = new SupervisorControl(new Supervisor1());<br> supervisorControl.execute(1);<br> }<br> if (LevelEnum.LEVEL2.equals(2)) {<br> SupervisorControl supervisorControl = new SupervisorControl(new Supervisor2());<br> supervisorControl.execute(2);<br> }<br> if (LevelEnum.LEVEL3.equals(3)) {<br> SupervisorControl supervisorControl = new SupervisorControl(new Supervisor3());<br> supervisorControl.execute(3);<br> }<br> }<br>}
LevelEnum
package strategy;<br><br>public enum LevelEnum {<br> LEVEL1, LEVEL2, LEVEL3<br>}
定义接口
package strategy;<br><br>public interface Supervisor {<br> void examine(int supervisorId);<br>}
三个Supervisor的实现类
package strategy;<br>public class Supervisor1 implements Supervisor {<br> public void examine(int supervisorId) {<br> System.out.println("去做一些和1级supervisor相关的工作");<br> }<br>}
package strategy;<br>public class Supervisor2 implements Supervisor {<br> public void examine(int supervisorId) {<br> System.out.println("去做一些和2级supervisor相关的工作");<br> }<br>}
package strategy;<br>public class Supervisor3 implements Supervisor {<br> public void examine(int supervisorId) {<br> System.out.println("去做一些和3级supervisor相关的工作");<br> }<br>}
SupervisorControl
package strategy;<br><br>public class SupervisorControl {<br> Supervisor supervisor;<br> public SupervisorControl(Supervisor supervisor) {<br> this.supervisor = supervisor;<br> }<br> public void execute(int id) {<br> supervisor.examine(id);<br> }<br>}
还有问题
依然存在大量的if - else
混合使用策略模式和反射来解决
重新main方法
package strategy;<br><br>public class Main {<br> public static void main(String[] args) {<br>// if (LevelEnum.LEVEL1.equals(1)) {<br>// SupervisorControl supervisorControl = new SupervisorControl(new Supervisor1());<br>// supervisorControl.execute(1);<br>// }<br>// if (LevelEnum.LEVEL2.equals(2)) {<br>// SupervisorControl supervisorControl = new SupervisorControl(new Supervisor2());<br>// supervisorControl.execute(2);<br>// }<br>// if (LevelEnum.LEVEL3.equals(3)) {<br>// SupervisorControl supervisorControl = new SupervisorControl(new Supervisor3());<br>// supervisorControl.execute(3);<br>// }<br> String packageName = Supervisor1.class.getPackage().getName();<br> String supervisorName = packageName + "." + "Supervisor" + "2";<br> try {<br> Class<?> clazz = Class.forName(supervisorName);<br> Supervisor supervisor = (Supervisor) clazz.newInstance();<br> supervisor.examine(1);<br> } catch (Exception e) {<br> System.out.println(e);<br> }<br><br> }<br>}
注意:<br><br>class.forName() 需要传入的格式是"包名.类名"。如果找不到包名则会报ClassNotFoundException<br>可以通过class.getPackage来获取包名。
总结:
到此解决了if - else 很多的问题,并且解决了需要侵入代码修改的问题,
如果新增supervisor的级别,只需要和前端达成一致,后台继续写一个supervisor4对象即可。
为什么解决了test难的问题
对于test来说,每一个If-else 都需要去验证,这其实就是两个test, if 一个 else一个,如果有很多if - else,想要保证高的test覆盖率,就会非常头痛。<br><br>然而我们用策略模式 和 反射来解决,只需要,对主逻辑一个test,每一个实现方法做一个test即可。
Collections 的自定义排序没有正确判断if else引发的血案
Plm 30765 这个单号查询流程报错,请协助处理分析处理一下 ,谢谢
子主题
子主题
面向对象知识与应用<br>
面向对象的思想
面向对象的思想已经逐步取代了过程化的思想(面向过程)<br>
面向对象与面向过程
什么是面向过程?
概述: 自顶而下的编程模式
把问题分解成一个一个步骤,每个步骤用函数实现,依次调用即可。
在进行面向过程编程时,不需要考虑那么多,上来先定义一个函数,然后使用各种方式进行代码执行。
诸如if-else、for-each 等
最典型用法就是实现一个简单算法,比如实现冒泡排序。
什么是面向对象?
OOP
(Object Oriented Programming)
Java是 面向对象的高级编程语言
必须熟悉面向对象的思想才能编写出Java程序。
面向对象的编程语言主要有:C++、Java、C#等。
概述: 将事务高度抽象化的编程模式
面向对象的一个重要思想就是通过抽象得到类,即将某些数据以及针对这些数据上的操作封装在一个类中,<br>
将问题分解成一个一个步骤,对每个步骤进行相应的抽象,形成对象,通过不同对象之间的调用,组合解决问题。
在进行面向对象进行编程时,要把属性、行为等封装成对象,然后基于这些对象及对象的能力进行业务逻辑的实现。
比如:想要造一辆车,上来要先把车的各种属性定义出来,然后抽象成一个Car 类。
面向对象的特征
面向对象是一种常见的思想,比较符合人们的思考习惯;
面向对象可以将复杂的业务逻辑简单化,增强代码复用性;
面向对象具有抽象、封装、继承、多态等特性。
举例说明区别
同样一个象棋设计
面向对象<br>
创建黑白双方的对象负责演算,棋盘的对象负责画布,规则的对象负责判断,
例子可以看出,面向对象更重视不重复造轮子,即创建一次,重复使用。
面向过程
开始—黑走—棋盘—判断—白走—棋盘—判断—循环。
只需要关注每一步怎么实现即可。
优劣对比
面向对象
占用资源相对高,速度相对慢。
面向过程
占用资源相对低,速度相对快
抽象的目的是从具体的实例中抽取共有属性和功能形成一种数据类型。
从抽象到类
抽象的关键是抓住事物的两个方面
属性
功能
抽象的关键有两点:
数据
数据上的操作
面向抽象编程 <br>
在设计一个程序时,可以通过在abstract类中声明若干个abstract方法,<br>
表明这些方法在整个系统设计中的重要性,
方法体的内容细节由它的非abstract子类去完成。
使用多态进行程序设计的核心技术之一是使用上转型对象,
即将abstract类声明对象作为其子类的上转型对象,那么这个上转型对象就可以调用子类重写的方法。
所谓面向抽象编程
指当设计某种重要的类时,不让该类面向具体的类,而是面向抽象类,
即,所设计类中的重要数据是抽象类声明的对象,而不是具体类声明的对象。
开-闭原则
所谓“开-闭原则”(Open-Closed Principle)就是让设计的系统应当对扩展开放,对修改关闭。 <br>
在设计系统时,应当首先考虑到用户需求的变化,将应对用户变化的部分设计为对扩展开放,而设计的核心部分是经过精心考虑之后确定下来的基本结构,这部分应当是对修改关闭的,即不能因为用户的需求变化而再发生变化,因为这部分不是用来应对需求变化的。
如果系统的设计遵守了“开-闭原则”
那么这个系统一定是易维护的,
因为在系统中增加新的模块时,不必去修改系统中的核心模块。
案例代码
编写一个Java应用程序,该程序可以输出矩形的面积。 <br>
public class ComputerRectArea {<br> public static void main(String args[]) {<br> double height; //高<br> double width; //宽<br> double area; //面积<br> height=23.89;<br> width=108.87;<br> area=height*width; //计算面积<br> System.out.println(area);<br> }<br>} <br>
如果其他Java应用程序也想计算矩形的面积,同样需要知道使用矩形的宽和高来计算矩形面积的算法,即也需要编写和这里同样多的代码。<br>
现在提出如下问题:能否将和矩形有关的数据以及计算矩形面积的代码进行封装,使得需要计算矩形面积的Java应用程序的主类无需编写计算面积的代码就可以计算出矩形的面积呢?
简单的矩形类
对所观察的矩形做如下抽象:<br> ●矩形具有宽和高之属性。<br> ●可以使用矩形的宽和高计算出矩形的面积。<br>
现在根据如上的抽象,编写出如下的Rect类(Rect.java) <br>
public class Rect <br> {<br> double width; //矩形的宽<br> double height; //矩形的高<br> double getArea() //计算面积的方法<br> { <br> double area=width*height;<br> return area;<br> }<br>}<br>
面向对象的优点
面向对象优点代码开发模块化,更易维护和修改。代码复用增强代码的可靠性和灵活性。增加代码的可理解性。
代码开发模块化,更易维护和修改。
代码复用
增强代码的可靠性和灵活性。
增加代码的可理解性。
面向对象的三大基本特征
封装
什么叫封装
封装(Encapsulation)
把客观事物,封装成抽象的类,并且类可以把自己的数据和方法只让可信的类或者对象操作,对不可信的进行信息隐藏。
封装是面向对象的特征之一,是对象和类概念的主要特性
一个类就是一个封装了数据以及操作这些数据的代码的逻辑实体。
在一个对象内部,某些代码或某些数据可以是私有的,不能被外界访问。
通过这种方式,对象对内部数据提供了不同级别的保护,以防止程序中无关的部分意外的改变或错误的使用了对象的私有部分。
封装给对象提供了隐藏内部特性和行为的能力。
对象提供一些能被其他对象访问的方法来改变它内部的数据。
封装与访问权限
访问控制权限,又称为封装
所谓访问权限,是指对象是否可以通过“.”运算符操作自己的变量或通过“.”运算符使用类中的方法。
访问控制权限其实最核心就是一点:只对需要的类可见。
当用一个类创建了一个对象之后,该对象可以通过“.”运算符操作自己的变量、使用类中的方法,
但对象操作自己的变量和使用类中的方法是有一定限制的。
如果你信任的下属 对你隐瞒bug,你是根本不知道的。
好处
通过隐藏对象的属性来保护对象内部的状态
提高了代码的可用性和可维护性
因为对象的行为可以被单独的改变或者是扩展
禁止对象之间的不良交互,提高模块化。
Java中成员的访问权限共有四种
public、protected、default、private
访问限制修饰符都是Java的关键字,用来修饰成员变量或方法。<br>
可见性如下
Java中成员的访问权限与可见性
私有变量和私有方法 <br>
用关键字private修饰的成员变量和方法<br>
只有在本类中创建该类的对象时,这个对象才能访问自己的私有成员变量和类中的私有方法。<br>
class Tom {<br> private float weight; <br> private float f(float a,float b){ <br> return a+b;<br> } <br>}<br>
class Jerry {<br> void g() {<br> Tom cat=new Tom();<br> cat.weight=23f; //非法<br> float sum=cat.f(3,4); //非法<br> }<br>}<br>
当用某个类在另外一个类中创建对象后,如不希望该对象直接访问自己的变量,就应当将该成员变量访问权限设置为private。
直接访问自己的变量指的是通过“.”运算符来操作自己的成员变量
面向对象编程提倡对象应当调用方法来改变自己的属性,类应当提供操作数据的方法,这些方法可以经过精心的设计,使得对数据的操作更加合理
共有变量和共有方法 <br>
用public修饰的成员变量和方法
在任何一个类中用类Tom 创建了一个对象后,该对象能访问自己的public变量和类中的public方法(也可以通过类名来操作成员变量、方法)
class Tom {<br> public float weight; <br> public float f(float a,float b) { <br> return a+b;<br> } <br>}<br>
class Jerry {<br> void g() { <br> Tom cat=new Tom();<br> cat.weight=23f; //合法<br> float sum=cat.f(3,4); //合法<br> }<br>}<br>
友好变量和友好方法(default) <br>
当在另外一个类中用类Tom 创建了一个对象后,如果这个类与Tom类在同一个包中,那么该对象能访问自己的友好变量和友好方法。<br>
在任何一个与Tom同一包中的类中,也可以通过Tom类的类名访问Tom类的类友好成员变量和类友好方法。
class Tom {<br> float weight; <br> float f(float a,float b) { <br> return a+b;<br> } <br>}<br>
class Jerry { <br> void g() {<br> Tom cat=new Tom();<br> cat.weight=23f; //合法<br> float sum=cat.f(3,4); //合法<br> }<br>}<br>
受保护的成员变量和方法
用protected修饰的成员变量和方法被称为受保护的成员变量和受保护的方法 。<br>
class Tom { <br> protected float weight; <br> protected float f(float a,float b) { <br> return a+b;<br> } <br>}<br>
class Jerry { <br> void g() {<br> Tom cat=new Tom();<br> cat.weight=23f; //合法<br> float sum=cat.f(3,4); //合法<br> }<br>}<br>
protected的进一步说明
一个类A中的protected成员变量和方法可以被它的直接子类和间接子类继承
如B是A的子类,C是B的子类,D又是C的子类,那么B、C和D类都继承了A类的protected成员变量和方法。
如果用D类在D中创建了一个对象,该对象总是可以通过“.”运算符访问继承的或自己定义的protected变量和protected方法的,但是,如果在另外一个类中,如在Other类中用D类创建了一个对象object,该对象通过“.”运算符访问protected变量和protected方法的权限如所述。
(1)对于子类D中声明的protected成员变量和方法,如果object要访问这些protected成员变量和方法,只要Other类和D类在同一个包中就可以了。
(2)如果子类D的对象的protected成员变量或protected方法是从父类继承的,那么就要一直追溯到该protected成员变量或方法的“祖先”类,即A类,如果Other类和A类在同一个包中,那么object对象能访问继承的protected变量和protected方法。
Java中的修饰符
Java有3种修饰符
public,private和protected
每一种修饰符给其他的位于同一个包或者不同包下面对象赋予了不同的访问权限。
public类与友好类
public 类
类声明时,如果在关键字class前面加上public关键字,就称这样的类是一个public 类 。<br>
可以在任何另外一个类中,使用public类创建对象。
友好类
如果一个类不加public修饰,这样的类被称作友好类。
在另外一个类中使用友好类创建对象时,要保证它们是在同一包中。
继承
继承是什么?
继承(Inheritance)<br>
一种联结类与类的层次模型
可使用现有类的所有功能,并在无需重新编写原来的类的<span style="font-size: inherit;">情况下,对这些功能进行扩展。</span>
继承提供了代码的重用行,也可以在不修改类的情况下给现存的类添加新特性。
继承给对象提供了从基类获取字段和方法的能力。
继承是一种is-a 关系
继承是一种is-a 关系。<br>
所有OOP语言和Java语言都不可或缺的一部分。
继承的过程,就是从一般到特殊的过程。
继承可以帮助我实现类的复用,但长期大量的使用继承会给代码带来很高的维护成本。
继承是类与类或者接口与接口之间最常见的关系
子类与父类
利用继承,可以先编写一个共有属性的一般类,<br>
指的是一个类(称为子类、子接口)继承另外的一个类(称为父类、父接口)的功能,并可以增加它自己的新功能的能力
通过继承创建的新类称为“子类”或“派生类”,被继承的类称为“基类”、“父类”或“超类”。
根据该一般类,再编写具有特殊属性的新类,新类继承一般类的状态和行为,并根据需要增加它自己的新的状态和行为。
由继承而得到的类称为子类,被继承的类称为父类(超类)。
题目
Java中 , 如果类C是类B的子类,类B是类A的子类,那么一下描述真确的是<br>A C类不仅继承了B中的成员,同样也继承了A中的成员<br>B C只继承了B中的成员<br>C C只继承了A中的成员<br>D C不能继承A或B中的成员<br>
选A
向上转型和向下转型
向上转型代表了父类与子类之间的关系,其实父类和子类之间不仅仅有向上转型,还有向下转型,它们 的转型后的范围不一样
向上转型
通过子类对象(小范围)转化为父类对象(大范围)
这种转换是自动完成的,不用强制。
向下转型
通过父类对象(大范围)实例化子类对象(小范围)
这种转换不是自动完成的,需要强制 指定。
对象的上转型对象
假设,A类是B类的父类,当用子类创建一个对象,并把这个对象的引用放到父类的对象中时,比如:<br>
A a;<br>a=new B();<br>或<br>A a;<br>B b=new B();<br>a=b;<br>
对象的上转型对象
注:<br>① 不要将父类创建的对象和子类对象的上转型对象混淆。<br>② 可以将对象的上转型对象再强制转换到一个子类对象,这时,该子类对象又具备了子类所有属性和功能。<br>③ 不可以将父类创建的对象的引用赋值给子类声明的对象<br>
父子类与多态是什么?
继承概念的实现方式有二类
实现继承<br>
指直接使用基类的属性和方法而无需额外编码的能力
接口继承
指仅使用属性和方法的名称、但是子类必须提供实现的能力。
继承的关键字是extends
只要创建了一个类,就隐式的继承自Object父类,只不过没有指定。
如果显示指定了父类,那么继承于父类,而父类继承于Object类。
图解继承
图解继承
如果使用了 extends显示指定了继承,那么我们可以•说 Father是父类,而Son是子类
用代码表示如下<br>
用代码表示如下
继承双方拥有某种共性的特征
继承双方拥有某种共性的特征
如果Son没有实现自己的方法,那么默认就是用的是父类的feature方法。
如果子类实现了自己的feature方法,那么就相当于是重写了父类的feature方法,这也是重写
声明一个类的子类的格式如下
class 子类名 extends 父类名 {<br> … … <br> } <br>
例如:<br>class Student extends People {<br> … … <br>}<br>
子类的继承性
所谓子类继承父类的成员变量作为自己的一个成员变量,就好象它们是在子类中直接声明一样,可以被子类中自己定义的任何实例方法操作。<br>
所谓子类继承父类的方法作为子类中的一个方法,就象它们是在子类中直接定义了一样,可以被子类中自己定义的任何实例方法调用。
子类和父类在同一包中的继承性 <br>
如果子类和父类在同一个包中,那么,<br>
子类自然地继承了其父类中不是private的成员变量,作为自己的成员变量,
并且也自然地继承了父类中不是private的方法作为自己的方法,
继承的成员变量或方法的访问权限保持不变。
子类和父类不在同一包中的继承性 <br>
如果子类和父类不在同一个包中,那么,<br>
子类继承了父类的protected、public成员变量,作为子类的成员变量,
并且继承了父类的protected、public方法为子类的方法,
继承的成员或方法的访问权限保持不变。
子类对象的特点 <br>
当用子类的构造方法创建一个子类的对象时,不仅子类中声明的成员变量被分配了内存,而且父类的成员变量也都分配了内存空间,但只将其中一部分作为分配给子类对象的变量。也就是说,父类中的private成员变量尽管分配了内存空间,也不作为子类对象的变量,即子类不继承父类的私有成员变量。同样,如果子类和父类不在同一包中,尽管父类的友好成员变量分配了内存空间,但也不作为子类的成员变量,即如果子类和父类不在同一包中,子类不继承父类的友好成员变量.<br>
Java 的继承与实现
继承
都体现了传递性
使用extends 关键字实现
继承的根本原因
因为要复用<br>
如果多个类的某个部分的功能相同,那么可以抽象出一个类出来,把他们的相同部分都放到父类里,让他们都继承这个类
在继承中可以定义属性方法,变量,常量等。
实现
都体现了传递性
实现通过implements 关键字。
实现的根本原因
需要定义一个标准<br>
如果多个类处理的目标是一样的,但是处理的方法方式不同,那么就定义一个接口,也就是一个标准
让他们的实现这个接口,各自实现自己具体的处理方法来处理那个目标。
Java 中支持一个类同时实现多个接口,但是不支持同时继承多个类。
在接口中只能定义全局常量(static final)和无实现的方法(Java 8 以后可以有defult 方法)
翻译
就是同样是一台汽车,既可以是电动车,也可以是汽油车,也可以是油电混合的,
只要实现不同的标准就行了,但是一台车只能属于一个品牌,一个厂商。
class Car extends Benz implements GasolineCar, ElectroCar{<br>}
Java支持多继承么?
不支持,Java不支持多继承。每个类都只能继承一个类,但是可以实现多个接口。
多态
什么是多态
多态(Polymorphism)
多态的基础
封装
继承
多态机制使具有不同内部结构的对象可以共享相同的外部接口
虽然针对不同对象的具体操作不同,但通过一个公共的类,它们(那些操作)可以通过相同的方式予以调用。
最常见的多态就是将子类传入父类参数中,运行时调用父类方法时通过传入的子类决定具体的内部结构或行为。
多态是编程语言给不同的底层数据类型做相同的接口展示的一种能力。
一个多态类型上的操作可以应用到其他类型的值上面。
多态性就是指父类的某个实例方法被其子类重写时,可以各自产生自己的功能行为。
继承与多态<br>
当一个类有很多子类时,并且这些子类都重写了父类中的某个实例方法,那么当把子类创建的对象的引用放到一个父类的对象中时,就得到了该对象的一个上转型对象,那么这个上转型对象在调用这个实例方法时就可能具有多种形态,因为不同的子类在重写父类的实例方法时可能产生不同的行为。<br>
如何实现多态?多态的实现具有三种充要条件<br>
多态的必要条件
为了实现运行期的多态,或者说是动态绑定,需要满足三个条件。<br>
图解多态的必要条件
图解多态的必要条件
这样,就实现了多态,同样是Parent 类的实例,p.call 调用的是Son 类的实现、p1.call 调用的是Daughter 的实现。
有人说,你自己定义的时候不就已经知道p 是son,p1 是Daughter 了么。但是,有些时候你用到的对象并不都是自己声明的啊。
比如Spring 中的IOC 出来的对象,你在使用的时候就不知道他是谁,或者说你可以不用关心他是谁。根据具体情况而定。
继承
有类继承或者接口实现
重写父类方法
子类要重写父类的方法
父类引用指向子类对象
多态还分为
动态多态
多态是一种运行期的状态。
多态应该是一种运行期特性,Java 中的重写是多态的体现。
上面提到的那种动态绑定认为是动态多态,因为只有在运行期才能知道真正调用的是哪个类的方法。
重载和多态其实是无关的
静态多态
一般认为Java 中的函数重载是一种静态多态,因为需要在编译期决定具体调用哪个方法。
因为在编译期已经确定调用哪个方法,所以重载并不是多态。
(注:严格来说,重载是编译时多态,即静态多态)
重载和重写就是多态的具体表现形式。
比如下面这段代码
比如下面这段代码
main方法中有一个很神奇的地方,Fruit fruit = new Apple。
Fruit类型的对象竟然指向了 Apple对象的引用,这其实就是多态-> 父类引用指向子类对象,
因为Apple继承于 Fruit,并且重写了 eat方法,所以能够表现出来多种状态的形式。
接口和抽象类
接口
接口是什么?
Java语言中,接口是由interface关键字来表示的,<br>
接口相当于就是对外的一种约定和标准<br>
接口诞生的背景
Java不支持多继承性,即一个类只能有一个父类。单继承性使得Java简单,易于管理和维护
为了克服Java单继承的缺点,Java使用了接口,一个类可以实现多个接口。<br>
接口类比于操作系统
拿操作系统举例子,为什么会有操作系统?
就会为了屏蔽 软件的复杂性和硬件的简单性之间的差异,为软件提供统一的标准。
如何定义一个接口?
定义一个接口
比如定义了一个CxuanGoodJob的接口,然后你就可以在其内部定义cxuan做的好的那些事情, 比如cxuan写的文章不错。
接口特征
interface接口是一个完全抽象的类,他不会提供任何方法的实现,只是会进行方法的定义。
接口中只能使用两种访问修饰符
一种是public,它对整个项目可见;
一种是default缺省值,它只具有包访问权限。
接口只提供方法的定义,接口没有实现,但是接口可以被其他类实现。
子主题
实现接口的类需 要提供方法的实现,实现接口使用implements关键字来表示,一个接口可以有多个实现。
接口不能被实例化,所以接口中不能有任何构造方法,你定义构造方法编译会出错。
接口的实现必须实现接口的全部方法,否则必须定义为抽象类,
接口的声明与使用 <br>
使用关键字interface来定义一个接口。
接口的定义和类的定义很相似,分为接口的声明和接口体。
1.接口声明<br>
接口通过使用关键字interface来声明<br>
格式:interface 接口的名字
2.接口体<br>
接口体中包含常量定义和方法定义两部分。<br>
3.接口的使用 <br>
类通过使用关键字implements声明自己实现一个或多个接口如果实现多个接口,则用逗号隔开接口名.<br>
class A implements Printable,Addable <br>class Dog extends Animal implements Eatable,Sleepable
如果一个类实现了某个接口,那么这个类必须重写该接口的所有方法。 <br>
如果一个类实现了某个接口,那么这个类必须重写该接口的所有方法。 <br>
例如, import java.io.*; <br>
理解接口 <br>
接口可以增加很多类都需要具有的功能,不同的类可以实现相同的接口,同一个类也可以实现多个接口。
接口只关心操作,并不关心操作的具体实现 <br>
接口的思想:在于它可以增加很多类都需要具有的功能,而且实现相同的接口类不一定有继承关系。
接口的UML图
表示接口的UML图和表示类的UML图类似,使用一个长方形描述一个接口的主要构成,将长方形垂直地分为三层。<br>
第1层是名字层、第2层是常量层、第3层是方法层 。<br>
接口UML图
实现关系的UML图
接口回调
接口变量与回调机制 <br>
空接口的内存模型
对象调用方法的内存模型
接口回调是指
可以把实现某一接口的类创建的对象的引用赋给该接口声明的接口变量中,那么该接口变量就可以调用被类重写的接口方法。<br>
实际上,当接口变量调用被类重写的接口方法时,就是通知相应的对象调用这个方法。<br>
接口回调用接口方法的内存模型
接口的多态性
把实现接口的类的实例的引用赋值给接口变量后,该接口变量就可以回调类重写的接口方法。<br>
由接口产生的多态就是指不同的类在实现同一个接口时可能具有不同的实现方式,那么接口变量在回调接口方法时就可能具有多种形态。 <br>
面向接口编程
面向接口去设计程序,可以通过在接口中声明若干个abstract方法,表明这些方法的重要性,方法体的内容细节由实现接口的类去完成。<br>
使用接口进行程序设计的核心思想是使用接口回调,即接口变量存放实现该接口的类的对象的引用,从而接口变量就可以回调类实现的接口方法。 <br>
接口可体现程序设计的“开-闭”原则 <br>
对扩展开放,对修改关闭。 <br>
UML类图
抽象类
抽象
抽象是把想法从具体的实例中分离出来的步骤
因此,要根据他们的功能,而不是实现细节来创建类。
Java支持创建只暴漏接口而不包含方法实现的抽象的类。
这种抽象技术的主要目的是把类的行为和实现细节分离开。
抽象类是一种抽象能力弱于接口的类,
接口、抽象类与实现类之间的关系
如果把接口形容为狗这个物种
那么抽象类可以说是毛发是白色、小体的品种
而实现类可以是具体的类,比如 说是博美、泰迪等。
抽象类中,具有如下特征
如果一个类中有抽象方法,那么这个类一定是抽象类
使用关键字abstract修饰的 方法一定是抽象方法,具有抽象方法的类一定是抽象类。实现类方法中只有方法具体的实现。
抽象类中不一定只有抽象方法,抽象类中也可以有具体的方法,你可以自己去选择是否实现这些方 法。<br>
抽象类中的约束不像接口那么严格,你可以在抽象类中定义构造方法、抽象方法、普通属性、方法、静态属性和静态方法
抽象类和接口一样不能被实例化,实例化只能实例化具体的类
abstract类与接口的比较 <br>
接口和abstract类的比较如下:<br>
1.abstract类和接口都可以有abstract方法。<br>
2.接口中只可以有常量,不能有变量;而abstract类中即可以有常量也可以有变量。<br>
3.abstract类中也可以有非abstract方法,接口不可以。 <br>
abstract类
用关键字abstract修饰的类称为abstract类(抽象类)。
在Java中,抽象类使用abstract关键字来表示。
abstract类不能用new运算创建对象 <br>
你可以像下面这样定义抽象类
如:<br>abstract class A {<br> …<br>}<br>
定义抽象类
abstract()方法
用关键字abstract修饰的方法称为abstract方法(抽象方法)
例如:<br>abstract int min(int x,int y); <br>
abstract类中可以有abstract方法 <br>
常见问题
接口和抽象类的区别是什么?
Java提供和支持创建抽象类和接口,它们的实现有共同点
都不能实例化
不同点在于:
可以参考JDK8中抽象类和接口的区别
接口
所有的方法隐含的都是抽象的
类如果要实现一个接口,它必须要实现接口声明的所有方法。
Java接口中声明的变量默认都是final的。
接口内不能有构造方法
接口是绝对抽象的,不可以被实例化。
访问修饰符
Java接口中的成员函数默认是public的。
接口方法是public,default<br>
数量
类可以实现很多个接口,但是只能继承一个抽象类
一个子类只能继承一个抽象类,可以实现多个接口。
抽象类
可同时包含抽象和非抽象的方法
类可以不实现抽象类声明的所有方法,当然,在这种情况下,类也必须得声明成是抽象的。
抽象类可以在不提供接口方法实现的情况下,实现接口。
抽象类可以包含非final的变量。
抽象类可以有构造方法
抽象类也不可以被实例化,但是,如果它包含main方法的话是可以被调用的。
数量
一个子类只能继承一个抽象类,可以实现多个接口。
类可以实现很多个接口,但是只能继承一个抽象类
访问修饰符
抽象类中的方法是public,private,protected,default
抽象类的成员函数可以是private,protected或者是public。
抽象和封装的不同点
抽象和封装是互补的概念。
一方面,抽象关注对象的行为。
另一方面,封装关注对象行为的细节。
一般是通过隐藏对象内部状态信息做到封装
因此,封装可以看成是用来提供抽象的一种策略。
面向对象的复用技术
复用性
面向对象技术带来的很棒的潜在好处之一
如果运用的好的话,可以帮助我们节省很多开发时间,提升开发效率。
如果被滥用那么就可能产生很多难以维护的代码。
作为一门面向对象开发的语言,代码复用是Java 引人注意的功能之一
Java 代码的复用有三种具体的表现形式
继承
继承复用
对象的组合 <br>
什么是组合
一个类的成员变量可以是Java允许的任何数据类型<br>
一个类可以把对象作为自己的成员变量,如果用这样的类创建对象,那么该对象中就会有其他对象
也就是说该对象将其他对象作为自己的组成部分 。
组合其实不难理解,就是将对象引用置于新类中即可。
组合也是一种提高类的复用性的一种方式。
如果 你想让类具有更多的扩展功能,你需要记住一句话多用组合,少用继承。
组合(Composition)体现的是整体与部分、拥有的关系,即has-a 的关系。
举例
代码中SoccerPlayer引用了 Soccer类,通过引用Soccer类,来达到调用soccer中的属性和方法。<br>
组合与继承的区别和联系
一般情况下,组合和继承 也是一对可以连用的好兄弟。
关于继承和组合孰优孰劣的争论没有结果,只要发挥各自的长处和优点即可,
继承的代码复用是一种白盒式代码复用
在继承结构中,父类的内部细节对于子类是可见的。<br>
通常也可以说通过继承的代码复用是一种白盒式代码复用。
(如果基类的实现发生改变,那么派生类的实现也将随之改变。这样就导致了子类行为的不可预知性。)
组合的代码复用是一种黑盒式代码复用
通过对现有的对象进行拼装(组合)产生新的、更复杂的功能<br>
因为在对象之间,各自的内部细节是不可见的
所以我们也说这种方式的代码复用是黑盒式代码复用。
(因为组合中一般都定义一个类型,所以在编译期根本不知道具体会调用哪个实现类的方法)
继承在编译期就确定了关系
在写代码的时候就要指名具体继承哪个类,所以,在编译期就确定了关系。
(从基类继承来的实现是无法在运行期动态改变的,因此降低了应用的灵活性。)
类的组合关系一般在运行期确定
组合,在写代码的时候可以采用面向接口编程<br>
所以,类的组合关系一般在运行期确定。
优缺点对比
组合和继承是有区别的
子主题
子主题
组合是has-a 的关系
组合(Composition)体现的是整体与部分、拥有的关系,即has-a 的关系。<br>
如何选择
相信很多人都知道面向对象中有一个比较重要的原则『多用组合、少用继承』或者说『组合优于继承』。
从前面的介绍已经优缺点对比中也可以看出,组合确实比继承更加灵活,也更有助于代码维护。
建议在同样可行的情况下,优先使用组合而不是继承。因为组合更安全,更简单,更灵活,更高效。
继承要慎用,其使用场合仅限于你确信使用该技术有效的情况。一个判断方法是,问一<br>问自己是否需要从新类向基类进行向上转型。如果是必须的,则继承是必要的。反之则应该<br>好好考虑是否需要继承。《Java 编程思想》
只有当子类真正是超类的子类型时,才适合用继承。换句话说,对于两个类A 和B,<br>只有当两者之间确实存在is-a 关系的时候,类B 才应该继承类A。《Effective Java》
代理
除了继承和组合外,另外一种值得探讨的关系模型称为代理。
代理的大致描述是,A想要调用B类 的方法,A不直接调用,A会在自己的类中创建一个B对象的代理,再由代理调用B的方法。<br>
例如
代理
面向对象的五大基本原则
单一职责原则(Single-Responsibility Principle)
核心思想
一个类,最好只做一件事,只有一个引起它的变化。
是什么?
可以看做是低耦合、高内聚在面向对象原则上的引申
将职责定义为引起变化的原因,以提高内聚性来减少引起变化的原因。
单一职责
通常意义下的单一职责,就是指只有一种单一功能,
不要为类实现过多的功能点,以保证实体只有一个引起它变化的原因。
专注,是一个人优良的品质;同样的,单一也是一个类的优良设计。
交杂不清的职责将使得代码看起来特别别扭牵一发而动全身,有失美感和必然导致丑陋的系统错误风险。
职责过多,可能引起它变化的原因就越多,这将导致职责依赖,相互之间就产生影响,从而大大损伤其内聚性和耦合度。
开放封闭原则(Open-Closed principle)
核心思想
软件实体应该是可扩展的,而不可修改的
对扩展开放,对修改封闭的。
主要体现在两个方面<br>
1、对扩展开放,意味着有新的需求或变化时,可以对现有代码进行扩展,以适应新的情况。
2、对修改封闭,意味着类一旦设计完成,就可以独立完成其工作,而不要对其进行任何尝试的修改。
实现开放封闭原则的核心思想
对抽象编程,而不对具体编程,因为抽象相对稳定。
让类依赖于固定的抽象,所以修改就是封闭的;
而通过面向对象的继承和多态机制,又可实现对抽象类的继承,通过覆写其方法来改变固有行为,实现新的拓展方法,所以就是开放的。
用封闭开放原则来封闭变化满足需求
“需求总是变化”没有不变的软件
所以就需要用封闭开放原则来封闭变化满足需求,同时还能保持软件内部的封装体系稳定,不被需求的变化影响。
Liskov 替换原则(Liskov-Substitution Principle)
核心思想
子类必须能够替换其基类
这一思想体现为对继承机制的约束规范,只有子类能够替换基类时,才能保证系统在运行期内识别子类,这是保证继承复用的基础。
在父类和子类的具体行为中,必须严格把握继承层次中的关系和特征,将基类替换为子类,程序的行为不会发生任何变化。<br>
同时,这一约束反过来则是不成立的,子类可以替换基类,但是基类不一定能替换子类。
Liskov 替换原则,主要着眼于对抽象和多态建立在继承的基础上,因此只有遵循Liskov 替换原则,才能保证继承复用是可靠地。
实现的方法
是面向接口编程
通过Extract Abstract Class,在子类中通过覆写父类的方法实现新的方式支持同样的职责
将公共部分抽象为基类接口或抽象类
Liskov替换原则是关于继承机制的设计原则,违反了Liskov 替换原则,就必然导致违反开放封闭原则。
好处
Liskov 替换原则能够保证系统具有良好的拓展性,
同时实现基于多态的抽象机制,能够减少代码冗余,避免运行期的类型判别。
依赖倒置原则(Dependecy-Inversion Principle)
核心思想
依赖于抽象。
<div class="mind-clipboard">高层模块不依赖于底层模块,二者都同依赖于抽象;抽象不依赖于具体,具体依赖于抽象。</div>
我们知道,依赖一定会存在于类与类、模块与模块之间。
当两个模块之间存在紧密的耦合关系时,最好的方法就是分离接口和实现:
在依赖之间定义一个抽象的接口
使得高层模块调用接口,
而底层模块实现接口的定义
以此来有效控制耦合关系,达到依赖于抽象的设计目标。
抽象的稳定性决定了系统的稳定性,因为抽象是不变的,依赖于抽象是面向对象设计的精髓,也是依赖倒置原则的核心。
依赖于抽象是一个通用的原则,而某些时候依赖于细节则是在所难免的,必须权衡在抽象和具体之间的取舍,方法不是一层不变的。
依赖于抽象,就是对接口编程,不要对实现编程。
接口隔离原则(Interface-Segregation Principle)
核心思想
使用多个小的专门的接口,而不要使用一个大的总接口。
接口隔离原则体现在:
接口应该是内聚的,应该避免“胖”接口。
接口污染
一个类对另外一个类的依赖应该建立在最小的接口上,不要强迫依赖不用的方法,这是一种接口污染。
接口有效地将细节和抽象隔离,体现了对抽象编程的一切好处,接口隔离强调接口的单<br>一性。而胖接口存在明显的弊端,会导致实现的类型必须完全实现接口的所有方法、属性等;<br>而某些时候,实现类型并非需要所有的接口定义,在设计上这是“浪费”,而且在实施上这<br>会带来潜在的问题,对胖接口的修改将导致一连串的客户端程序需要修改,有时候这是一种<br>灾难。在这种情况下,将胖接口分解为多个特点的定制化方法,使得客户端仅仅依赖于它们<br>的实际调用的方法,从而解除了客户端不会依赖于它们不用的方法。 <br>
分离的手段主要有以下两种
1、委托分离,通过增加一个新的类型来委托客户的请求,隔离客户和接口的直接依赖,但是会增加系统的开销。
2、多重继承分离,通过接口多继承来实现客户的需求,这种方式是较好的。
以上就是5个基本的面向对象设计原则
它们就像面向对象程序设计中的金科玉律,遵守它们可以使我们的代码更加鲜活,易于复用,易于拓展,灵活优雅。
不同的设计模式对应不同的需求,而设计原则则代表永恒的灵魂,需要在实践中时时刻刻地遵守。
就如ARTHUR J.RIEL 在那边《OOD 启示录》中所说的:
“你并不必严格遵守这些原则,违背它们也不会被处以宗教刑罚。
但你应当把这些原则看做警铃,若违背了其中的一条,那么警铃就会响起。”
类与对象的关系
什么是类?
一种数据类型
类是Java语言中最重要的一种数据类型。
类也是一种数据类型,因此可以使用类来声明一个变量。<br>
类是体现封装的一种数据类型
类是面向对象语言中最重用的一种数据类型,那么就可以用它来声明变量。
大多数面向对象的语言都使用class来定义类
就比如书籍一样,类相当于是书的封面
类是组成Java程序的基本要素。<br>
类与对象的关系
类也是一种对象,相当于是一系列对象的抽象
通俗的讲,类是创建和用来定义对象的“模板”,没有类就没有对象。
类的作用
它告诉你它里面定义的对象都是什么样的
类封装了一类对象的状态和方法。
当使用一个类创建一个对象时,也称给出了这个类的一个实例。
在面向对象语言(如Java)中,用类声明的变量就称之为一个对象。类声明的变量称做对象<br>
和基本数据类型不同,在用类声明对象后,还必须要创建对象,即为声明的对象分配变量(确定对象所具有的属性)
定义类
上面,声明了一个class类,现在,可 以使用new来创建这个对象
ClassName classname = new ClassName();
类的实现包括两部分
类声明
例如:<br>class Vehicle {<br> ……<br>}<br>
“class Vehicle”称作类声明;<br>
“Vehicle”是类名。
class 类名
类体
类声明之后的一对大括号“{”,“}”以及它们之间的内容称作类体,大括号之间的内容称作类体的内容。 <br>
类体的内容由两部分构成<br>
变量的声明<br>
刻画属性
方法的定义
刻画功能
一般使用下面来定义类,基本格式如下
一般使用下面来定义类
class 类名 {<br> 类体的内容<br>}<br>
—般,类的命名遵循驼峰原则,驼峰原则的定义
骆驼式命名法(Came卜Case)又称驼峰式命名法,<br>
是电脑程式编写时的一套命名规则(惯例)。
正如它的名称CamelCase所表示的那样,是指混合使用大小写字母来构成变量和函数的名字。
程序员们为了自己的代码能更容易的在同行之间交流,所以多采取统一的可读性比较好的命名方 式。
给类命名时,遵守下列编程风格
这不是语法要求的,但应当遵守
1.如果类名使用拉丁字母,那么名字的首字母使用大写字母,如。
2、类名最好容易识别、见名知意
当类名由几个“单词”复合而成的,每个单词的首字母使用大写
对象的创建与使用
用类创建对象需经过两个步骤<br>
声明对象<br>
(1)声明对象时的内存模型
Vehicle car1 ;<br>
(1)声明对象时的内存模型
Rect rectangle1;<br>
rectangle1在内存中还没有任何数据
一般格式为: 类的名字 对象名字<br>
如:Vehicle car;
Vehicle是一个类的名字,<br>
car是我们声明的对象的名字。
声明对象的案例
例如用Rect声明一个名字为rectangle1的对象的代码如下:<br>
声明对象变量rectangle1后,rectangle1在内存中还没有任何数据,称这时的rectangle1是一个空对象。<br>
空对象不能使用,必须再进行为对象分配变量的步骤。
为对象分配(成员)变量
为对象分配变量
在Java中,一旦创建了一个引用,就希望它能与一个新的对象进行关联
使用new运算符和类的构造方法为声明的对象分配变量,即创建对象。<br>
通常使用new操作符来实现这一目的。
new的意思,绐我一个新对象
为声明的对象分配内存
(2)对象分配内存后的内存模型<br>
car1 = new Vehicle(); <br>
(2)对象分配内存后的内存模型
为上述Rect类声明的rectangle1对象分配内存的代码如下:<br>
rectangle1 = new Rect(); <br>
为对象分配变量后的内存模型
在声明对象时,可以同时为对象分配变量,例如,
Rect rectangle1 = new Rect();
如果类中没有构造方法,系统会调用默认的构造方法,默认的构造方法是无参数的,且方法体中没有语句。
创建多个不同的对象<br>
一个类可以创建多个不同的对象,这些对象将被分配不同的变量,改变其中一个对象的状态不会影响其他对象的状态。
创建多个对象的内存模型
Rect rectangle1, rectangle2;<br> rectangle1 = new Rect();<br> rectangle2 = new Rect(); <br>
创建多个对象的内存模型
创建多个不同的对象
使用对象
对象通过使用“.”运算符,操作自己的变量和调用方法<br>
通过使用运算符“.”,对象,可以实现对自己变量的访问和方法的调用。 <br>
对象不仅可以操作自己的变量改变状态,而且能调用类中的方法产生一定的行为。<br>
1.对象操作自己的变量(对象的属性)<br>
对象.变量; <br>
调用方法的格式为: 对象.变量;<br>
例如,<br> rectangle1.width=12;<br> rectangle1.height=9;<br>
2.对象调用类中的方法(对象的功能) <br>
对象.方法; <br>
调用方法的格式为: 对象.方法;<br>
例如,<br> rectangle1.getArea();<br>
3.体现封装 <br>
当对象调用方法时,方法中出现的成员变量就是指分配给该对象的变量。 <br>
对象体现封装
代码:<br>car1.setPower(128);<br>car2.setPower(76);<br>car1.speedUp(80);<br>car2.speedUp(100);<br>
子主题
对象的案例:使用矩形对象 <br>
Rect.java<br>
public class Rect <br> {<br> double width; //矩形的宽<br> double height; //矩形的高<br> double getArea() //计算面积的方法<br> { <br> double area=width*height;<br> return area;<br> }<br>}<br>
Example2_1.java<br>
public class Example2_1<br>{<br> public static void main(String args[])<br> {<br> Rect rectangle1,rectangle2; <br> rectangle1 = new Rect(); <br> rectangle2 = new Rect();<br> rectangle1.width=128;<br> rectangle1.height=69;<br> rectangle2.width=18.9;<br> rectangle2.height=59.8;<br> double area=rectangle1.getArea();<br> System.out.println("rectangle1的面积:"+area);<br> area=rectangle2.getArea();<br> System.out.println("rectangle2的面积:"+area);<br> }<br>}<br>
在Java应用程序中使用矩形对象
四种显式地创建对象的方式<br>
1.用new语句创建对象,这是最常用的创建对象的方式。<br>
2.运用反射手段,调用Java.lang.Class或者java.lang.reflect.Constructor类的newInstance()实例方法。
3.调用对象的clone()方法。
4.运用反序列化手段,调用java.io.ObjectInputStream对象的readObject()方法.
演示
下面演示了用前面3种方式创建对象的过程。<br>
public class Customer implements Cloneable{<br> private String name;<br> private int age;<br> public Customer(){<br> this("unknown",0);<br> System.out.println("call default constructor");<br>}<br>public Customer(String name,int age){<br> this.name=name;<br> this.age=age;<br> System.out.println("call second constructor");<br>}<br>public Object clone()throws CloneNotSupportedException{<br> return super.clone();<br> }<br>public boolean equals(Object o){<br> if(this==o)<br> return true;<br> if(! (o instanceof Customer))<br> return false;<br> final Customer other=(Customer)o;<br> if(this.name.equals(other.name) && this.age==other.age)<br> return true;<br> else<br> return false;<br>}<br>public String toString(){<br> return "name="+name+",age="+age;<br>}<br> public static void main(String args[])throws Exception{<br>//运用反射手段创建Customer对象<br>Class objClass=Class.forName("Customer");<br>Customer c1=(Customer)objClass.newInstance(); //会调用Customer类的默认构造方法<br>System.out.println("c1: "+c1); //打印name=unknown,age=0<br><br>//用new语句创建Customer对象<br>Customer c2=new Customer("Tom",20);<br>System.out.println("c2: "+c2); //打印name=tom,age=20<br><br>//运用克隆手段创建Customer对象<br>Customer c3=(Customer)c2.clone(); //不会调用Customer类的构造方法<br>System.out.println("c2==c3 : "+(c2==c3)); //打印false<br>System.out.println("c2.equals(c3) : "+c2.equals(c3)); //打印true<br>System.out.println("c3: "+c3); //打印name=tom,age=20<br>}<br>}<br>
以上程序的打印结果如下:
call second constructor<br>call default constructor<br>c1: name=unknown,age=0<br>call second constructor<br>c2: name=Tom,age=20<br>c2==c3 : false<br>c2.equals(c3) : true<br>c3: name=Tom,age=20<br>
从以上打印结果看出,<br>
用方式1或方式2创建Customer对象时,都会执行Customer类的构造方法
使用方式2创建Customer对象时,不会执行Customer类的构造方法。(区别)<br>
隐含地创建对象
1.java命令中的每个命令行参数传入程序入口main(String args[])方法
对于java命令中的每个命令行参数,Java虚拟机都会创建相应的String对象,
并把它们组织到一个String数组中,再把该数组作为参数传给程序入口main(String args[])方法。
2.程序代码中的String类型的直接数对应一个String对象<br>
String s1="Hello";<br>String s2="Hello"; //s2和s1引用同一个String对象<br>String s3=new String("Hello");<br>System.out.println(s1==s2); //打印true<br>System.out.println(s1==s3); //打印false<br>
执行完以上程序,内存中实际上只有两个String对象
一个是直接数,由Java虚拟机隐含地创建,
一个通过new语句显式地创建。
3.字符串操作符“+”的运算结果为一个新的String对象
String s1="H";<br>String s2=" ello";<br>String s3=s1+s2; //s3引用一个新的String对象<br>System.out.println(s3=="Hello"); //打印false<br>System.out.println(s3.equals("Hello")); //打印true
4.当Java虚拟机加载一个类时,会隐含地创建描述这个类的Class实例.
对象的引用和实体<br>
对象引用与对象之间的关系,<br>
对象的引用(reference)
在Java中,万事万物都是对象
尽管一切都看作是对象,但是你操纵的却 是一个对象的引用(reference)
对象中负责存放引用,以确保对象可以操作分配给该对象的变量以及调用类中的方法。
你可以把车钥匙和车看作是一组对象引用和对象的组合。
当你想要开车的时候,你首先需要拿出车钥匙点击开锁的选项,停车时,你需要点 击加锁来锁车。
车钥匙相当于就是引用,车就是对象,由车钥匙来驱动车的加锁和开锁。
并且,即使没 有车的存在,车钥匙也是一个独立存在的实体
也就是说,你有一个对象引用,但你不一定需要一个对象与之关联
也就是 Car carKey;
这里创建的只是引用,而并非对象
但是如果你想要使用这个引用时,会返回一个异常,告诉你需要 —个对象来和这个引用进行关联。
一种安全的做法是,在创建对象引用时同时把一个对象赋绐它。
Car carKey = new Car();
对象的引用和实体之间的关系
对象的实体
分配给对象的变量习惯地称做对象的实体
避免使用空对象<br>
没有实体的对象称作空对象,<br>
空对象不能使用,即不能让一个空对象去调用方法产生行为。
垃圾收集<br>
一个类声明的两个对象如果具有相同的引用,那么二者就具有完全相同的实体
“垃圾收集”机制:周期地检测某个实体,是否已不再被任何对象所拥有(引用),如果发现,就释放实体占有的内存。 <br>
代码:<br>Vehicle carOne = new Vehicle ();<br>Vehicle carTwo = new Vehicle ); <br>carOne.speedUp(60);<br>carTwo.speedUp(90); <br>
对象各自改变直接Speed
代码:<br>carOne = carTwo <br>
car1 和car 2具有同样的引用
属性和方法(一个类最基本的要素)
属性
属性也被称为字段,它是类的重要组成部分
属性可以是任意类型的对象,也可以是基本数据类型
示例
属性
方法
类中还应该包括方法,方法表示的是做某些事情的方式。
方法其实就是函数,只不过Java习惯把函数 称为方法。
这种叫法也体现了面向对象的概念。
一般格式为
一般格式为
方法声明部分 {<br> 方法体的内容<br> } <br>
方法的定义包括两部分、方法的基本组成
方法声明
方法声明,包括方法名和方法的返回类型,方法的参数
double getSpeed() {<br> return speed;<br> } <br>
方法名称
get Result就是方法名称
方法的名字
方法的参数
()里面表示方法接收的参数
有一种特殊的参数类型,void,表示方法无返 回值。
方法的参数
方法的返回类型,返回值
方法的返回类型
return表示方法的返回值
方法的返回值必须和方法的参数类型保持一致
方法体
{}包含的代码段被称为方法体。
方法声明之后的一对大括号“{” ,“}”以及之间的内容称作方法的方法体。方法体的内容包括局部变量的声明和Java语句。<br>
类方法的定义
实例方法
方法声明时,方法类型前面不加关键字static修饰的是实例方法
对象调用实例方法<br>
当对象调用实例方法时,该方法中出现的实例变量就是分配给该对象的实例变量;<br>
该方法中出现的类变量也是分配给该对象的变量,只不过这个变量和所有的其他对象共享而已。
类方法
方法声明时,方法类型前面加static关键字修饰的是类方法(静态方法)
类名调用类方法<br>
类方法不仅可以被类创建的任何对象调用执行,也可以直接通过类名调用。<br>
和实例方法不同的是,类方法不可以操作实例变量,这是因为在类创建对象之前,实例成员变量还没有分配内存。
案例
class A {<br> int a;<br> float max(float x,float y) { //实例方法<br> …<br> }<br> static float jerry() { //类方法<br> … <br> }<br> static void speak(String s) { //类方法<br> … <br> }<br>} <br>
Java应用程序的基本结构 <br>
一个Java应用程序是由若干个类所构成,但必须有一个主类,即含有main方法的类,Java应用程序总是从主类的main方法开始执行。<br>
编写一个Java应用程序时,可以编写若干个Java源文件,每个源文件编译后产生一个类的字节码文件。
例子2中的三个Java源文件MainClass.java 、Circle.java 、Lader.java都保存在c:\ch2中。<br>
其中MainClass.java是含有主类的Java源文件。<br>编译: C:\ch2 >javac MainClass.java <br>运行: C:\ch2 >java MainClass
Circle.java<br>
public class Circle <br>{<br> double radius;<br> double getArea() <br> { <br> return 3.1415926*radius;<br> }<br>}<br>
Lader .java<br>
public class Lader<br>{<br> double above; //梯形的上底 <br> double bottom; <br> double height; <br> double getArea()<br> { <br> return (above+bottom)*height/2;<br> }<br>}<br>
MainClass .java<br>
public class MainClass <br>{ <br> public static void main(String args[]) <br> {<br> Circle circle=new Circle();<br> circle.radius=100;<br> double area=circle.getArea();<br> System.out.println("圆的面积:"+area); <br> Lader lader=new Lader();<br> lader.above=10;<br> lader.bottom=56;<br> lader.height=8.9;<br> area=lader.getArea();<br> System.out.println("梯形的面积:"+area); <br> }<br>}<br>
在一个源文件中编写多个类 <br>
Java允许在一个Java源文件中编写多个类,但其中的多个类至多只能有一个类使用public修饰。<br>
例2-3中的Java源文件Rectangle.java包含有两个类<br> 重要步骤:<br>1. 命名保存源文件<br> 源文件命名保存为Rectangle.java(回忆一下源文件命名的规定)<br>2. 编译: C:\ch2\>javac Rectangle.java<br> 编译成功,ch2目录下就会有两个字节码文件.<br>3. 执行: C:\chapter1\>java Example2_3<br> java 命令后的名字必须是主类的名字<br>
构造方法/构造函数/构造函数重载
是什么?
构造方法比较特殊
构造方法是一种特殊方法<br>
构造方法是类的一种特殊方法
在Java中,通过 提供这个构造器,来确保每个对象都被初始化。
在Java中,有一种特殊方法被称为 构造方法,也被称为构造函数、构造器等。
作用
主要用来在创建对象时初始化对象, 即为对象成员变量赋初始值
它承担着初始化对象数据成员的任务。
总与new 运算符一起使用在创建对象的语句中。
只能与 new 运算符结合使用
用来初始化类的一个新的对象,在创建对象(new 运算符)之后自动调用。
每当新对象被创建的时候,构造函数就会被调用
当新对象被创建时,构造函数会被调用。
特殊之处/特点
每个类都有构造函数(默认构造函数)
每一个类都有构造函数。
构造函数与默认构造函数
每个类都有一个默认的构造方法
方法名称必要要与类名保持一致
方法名必须与类名相同<br>
它的名字必须与它所在的类的名字完全相同
构造器的函数名称必须和它所属的类的名称相同。
没有参数类型和返回值
可以有 0 个、1 个或多个参数
没有任何返回值,包括 void
默认返回类型就是对象类型本身
它没有参数类型和返回值
没有类型
构造函数跟一般的实例方法十分相似;但是与其它方法不同,构造器没有返回类型
不会被继承,且可以有范围修饰符。
不能被 static、final、synchronized、abstract 和 native(类似于 abstract)修饰
构造函数的重载
Java中构造函数重载和方法重载很相似。
可根据其参数个数的不同或参数类型的不同来区分它们,即构造函数的重载。
可以为一个类创建多个构造函数。
每个类可以有一个以上的构造方法
构造方法可以有多个
每一个构造函数必须有它自己唯一的参数列表。
一个类可以有多个构造函数,但必须保证他们的参数不同,即参数的个数不同,或者是参数的类型不同。
允许一个类中编写若干个构造方法
构造方法与对象的创建 <br>
构造方法和对象的创建密切相关 。
构造方法,只能在对象的创建时期调用一次,保证了对象初始化的进行。
默认的构造方法
每个类都有一个默认的构造方法,并且可以有一个以上的构造方法。
默认的构造方法也被称为默认构造器或者无参构造器。
JVM会默认添加一个无参的构造器
在程序员没有给类提供构造函数的情况下,Java编译器会为这个类创建一个默认的构造函数。
如果在编写一个可实例化的类时没有专门编写构造函数,多数编程语言会自动生成缺省构造器(默认构造函数)。
如果类中没有编写构造方法,系统会默认该类只有一个构造方法,该默认的构造方法是无参数的,且方法体中没有语句
其中,不加任何参数的构造方法被称为默认的构造方法
也就是Apple applel = new Apple()
如果类中没有定义任何构造方法,那么JVM会为你自动生成一个构造方法
构造方法的示例
上面代码(d不会发生编译错误,因为Apple对象包含了一个默认的构造方法。
如果类里定义了一个或多个构造方法,那么Java不提供默认的构造方法 。
<b>但是如果手动定义了任何一个构造方法,JVM就不再为你提供默认的构造器,</b>
你必须手动指定,否则会出现编译错误。
编译错误
显示的错误是,必须提供Apple带有int参数的构造函数,而默认的无参构造函数没有被允许使用。
默认构造函数一般会把成员变量的值初始化为默认值,如int ->0,Integer -> null。
Java不支持复制构造函数
Java不支持像C++中那样的复制构造函数
这个不同点是因为,如果你不自己写构造函数的情况下,Java不会创建默认的复制构造函数。
构造方法的示例
多态的体现
构造方法的示例
上面定义了一个Apple类,
你会发现这个Apple类没有参数类型和返回值,并且有多个以Apple同名 的方法,而且各个Apple的参数列表都不一样
这其实是一种多态的体现
四种不同的构造方法
在定义完成 构造方法后,就能够创建Apple对象了。
构造方法的示例
如上面所示,定义了四个Apple对象,并调用了 Apple的四种不同的构造方法
常见问题
Java中,什么是构造函数?什么是构造函数重载?什么是复制构造函数?<br>
transient关键字
是什么?
Java 语言的关键字<br>
变量修饰符,
防止对象进行序列化操作<br>
声明为static和transient类型的变量不能被序列化
<div class="mind-clipboard">如果用transient 声明一个实例变量,当对象存储时,它的值不需要维持。</div>
<div class="mind-clipboard">这里的对象存储是指,Java 的serialization 提供的一种持久化对象实例的机制。</div>
当一个对象被序列化时,transient 型变量的值不包括在序列化的表示中,然而非transient 型的变量是被包括进去的。
使用情况
当持久化对象时,可能有一个特殊的对象数据成员,不想用serialization 机制来保存它。
为了在一个特定对象的一个域上关闭serialization,可以在这个域前加上关键字transient。
源码使用场景
在关于java 的集合类的学习中,发现ArrayList 类和Vector 类都是使用数组实现的,<br>
但是在定义数组elementData 这个属性时稍有不同,那就是ArrayList 使用transient 关键字
ArrayList 使用transient 关键字
简单点说
被transient 修饰的成员变量,在序列化的时候其值会被忽略,在被反序列化后, transient 变量的值,被设为初始值,
如int 型的是0,对象型的是null。
static关键字
是什么?
static是我们日常生活中经常用到的关键字, 也是Java中非常重要的一个关键字<br>
static是Java中的关键字,表示静态的
static关键字表示的概念是全局的、静态的
static用在没有创建对象的情况下,调用方法/变量。
表明一个成员变量或者是成员方法可以在没有所属类的实例变量(没有new)的情况下被访问。
表明一个成员变量或者是成员方法可以在没有所属的类的实例变量的情况下被访问。
static修饰
变量/成员变量
静态变量
static可以修饰成员变量
用它修饰的变量被称为静态变量。
用static声明的成员变量为静态成员变量,也称为类变量
静态变量常用static关键来修饰,表示通用资源或可以被所有的对象所使用。
样例代码
static修饰变量
static String name = "cxuan";
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oWaq9m1rYWMx+73SQrp7qsFmUlE9ngFvoVb5rYHrKix3JM+nk/LPyKcpOohU9Bul91K0TepLPAJqgAaXRIL0oewe1d1kNTVoerB9muuJW3VS+zcaWHTAAqqQC+Myw57vJmkcdEdX9dez7jRpXx5pgW0g/3/FzGKsderlStdg/bmSUzb+QbVDTMwGAaD6zRHyz5jYkZmQDbYYFkkIxmpj+bCiJgw938ee+0JykvLKO9sE6OeM7Nj/S6duzYYw+wVLLcWkZe5xpP1U4vR9CDZc25vzw6rWE+0X5lWey01CRNZ0OHLQYM2cTEvJfZ0DWJJSRnT6wd96O1u5czfP0M77vYgqb01RBnGMrqmFntrYidn5d3pm/b3d70fWC8FUTeSOrmVJ0tOMG1JIlENlez/eAwZS30Dvic99NpPGW9+lN8taT/DbrVZWLj3YiqgJXnZ0yrfOddiSFvMprTF3ldcjgoK1u8IuBQMVU+2X4iBrQ+mAv7G0ZPfdHy9+XNO1o/k2pG9kUt8MKPumMKPqo9xsvkbPjpyFO67i9v8zg7OU1d1ghHZi/ynLS7aEGIn3ER92V9pDOt6P3Qa3a1MHv0xpR+Gc9HWU+1XJsJgJL76GCeDThENXKG3O4KR/z2G5pOfB7ncd+G0n6I+3oihm7NV15nTNFwIv77hcNmLyc3MJDNrHdbGlt7deQ/r/cAaqYejO7FU2PE+a+Osw7rjIJqHfx4Q3HqORj+e6Qm17H79TcoORHBnQsBEPEMwGA3Ul1dS5/QMbqedyuKt5PquLPATgXbYlfzd+x4XTvsxyiz5ZOUWe+Z0NUTFzeKhUQdY/UIxlXafw8HlwFayldytlcrmxFptWBblYyk7ht3ZfiC6HCc4fOJqUuJHhlHPnmq/QtoEMuY72bbhdWoc7Qefy2HjUJmF/NzXsDkvkaB7RRTDhtspL//MM7absVe+hyXfTG5xnbJ5cwXt1hjSyI7ex4bXqnH43Ddw2g9RuPc8GfMSfKYJAj5XlwOb1cJvHy/EdrGBVVH7v6Oh+jhfEYl+molkfW+cUPWe3l8V8EgVE7bMwLWngHX7arkAoE9m3sJ5PnfIgyyN8tEhBa/DSv7SQmo72XfwlL2eS91n9/F18jJeXJLYcY7K5cD2zi6276pwz1tGGjFlp/MTfRV5a0o577s8pY3TTsUbRRSUetoWacT0wAxSUyYEzHU2Y688QMnON6lo9IzooEuZQtBqw/JIOTFmI01H2pdGRRpnYvbeUQ4QSj17qv2KPy+1+qqbZWG+y778Uj+3LRnS+b+/w1ItF077B7xR9IpneZR7KeEDplRSEsM561fS7lCWW7VVs5HKgrVsKv8K9xKuuSz8eQxVeesoPe/pA2Ndz7bfVUfxiqfZ40hi2YsD74GCvgmsz3e2vEUIcTlw2YtZ8cR+RuQ803HZ1gAw0NojhOgHvm8+x1l9KrOTrx6QQaj3n7zyvtLd0zZCCNE/yY+wCCGEygbiWbgQQvQpCaxCCKEyCaxCCKEyCaxCCKEyCaxCCKEyCaxCCKEyCaxCCKEyCaxCCKEyCaxCCKEyCaxCCKEyCayhcljJz1yGxebsftvL3WXdV604rM+R+ZAFW2tf10X0lX6fmsX7u62dpTHu6j2A/BiMEEJtA+NHWML+ndfuUi/3J05sltUcNOaqnEurp8pVmcuB7dC77C0q9fzQ8zUkz7ubUZ8dhZ8tZ7bBJ0Flqw2L+TDGDQPvB5ZVJ30Vln5/xip8/YezTT3xBdZT5aqlhcZDuyg+/WPMr2S5f1nf5aDmDwWsq/yaadODXJNfaKLp2+8JktpUBJK+UqzXAqvfJfvmOzn9yvMUelOImMhOn8EUb2qW01jz8yisxZMS4mrcZ055PFvaCMFSgoA7LcgffdKCBEn5Ena9ge6nDVpw2N7n3b27PakpItEn38fcUfX8/tx0nu+QHqYbgWdh+mTm3hNDw/5Gkn69yHMGEZhu5DEyC33KMOaw+ak0n1TaLThsFZQfbE/hEjzdh9Jy+7KvzlBT3sCo9B+111+jI37+IrI/fYkmbVtJbePK86vASx+gvUlDfMaah08KmSGmVWyfo6WyLe1MpJGZK8zcH982tnzHJ0HSlng7yZPy5BZy1qRDyTbPcaDFONOM+f6EgJQrgelOriF53oPMu72RgmWF1HZ2LHQlpHHVk33VVo8vsa55hkLbefSmFazOih8wabZ7PzWL+VXqrxvB6OlzmdOW/dNZh7WwkA/G/Y9PmgYnNssz7I15zP8DbLVhWfg2MWt9BlNbuddEMHxCBvPujkenaTtwD9FkehRzoj5IcFUyFdDdti04KnfwXOkPmOPNM9WCw/Yeu7bvoXr8yiB5t7rsMezFq9nYMInlOVM8+aJacNS8ScHGf2LaEnhp1kl/BeFynOITRmNsy4XkrMNaWMDb0Q8EGdyhl9uur/oqgcxZ00gMluPLV7Ax1OXmFsx7v2YcgxiTPtf9Re20U3m0mdhgObccVvJXfkF6p3P+7v4pJ5rhKZnkpMUS5TxF8foXsKX80ucYcOdle3IvPv3UjN36KkXlX/E1k1gV8OXWPYXjqif7agAH1t6fCrjwL4abfkmW73xdVCxpC2Zx8tE/cjwpzLmcC2eImPQMi72DchC6uDSyDEPZ+ujrHB/Xw3NEzdXs2tZCxpb7ffYzCF3cXSzItFPTWea87kTr0UX5lBefwVMvX1xVNbqxGH1fiIpl8tSbeW1vI/+Gnh/cqvfVYAyzV7C8spwjRY+xqe3Mbu69TE1J7phMLyxjuPfxu4lt+yyiDCROuZjyvoVbFrqDKkDUWO5JH0/J3o84k3atO1i67Pzp5U+489E8kr1zxFoMaQvIbvoNT3SWEzEUPTCu2oXYV5prSVv1Emlq7fYS0vuBNfJmksZFd3xdez3jRpfy5ZkW0A7u+P9uy72V6UlB8udor2fc6DeotZ8nsQdvULXaa6lJmMiCDsFbgzZxMS8lKi3REyysReRlrnFnSUWL0fQg2XNuD8j4qoQLp/04fyrZ3T4VQCQj9dFcGBETZpnKqN9XAFoMiT8lK/GnZEH75W7uO1StfJKsuKEXVeeI0Tdwfdh9HkwsKSljuv4SczpoaLqBqdcFHg+DuW7sjQwJK7D21Lhqp35f9T+Xyc0rLcO0/TEtrBZD2mI2pS32vuJyVFCwfgcTzVkkKj4T86T8Xvsp482P8rsl7SmJW20WFu5VreJ9T6MjLm0+etaxsupz5scpnN8e0NQeVyJQ73+tXPgbR09+0/H15s85WT+Sa0d2/aG6zpym4UKwck9QdvQ0rjDLvVgRBiPx1cc42dyhBqrS6G5l8uiPKf3wTBjvPk9d1QlGZC8iKzmcPPfqUL2vHFbyc4uxBy0uguHDorhCnT31rigdo4Z+yql/BK7I+I5/nPrEJzHnxbu4cRUel72Y3MxMMrPWYW1s6bX99obeD6yReji6E0uFHe9zOc46rDsOonn459zmvTwcgsFooL68kjqny31pZ7Xw28cLsQULrJEjaX3/RV4oqcHhAvfNECuWDSUB5fYQbQIZ851s2/A6NY72QeJy2DhUZiE/9zVsTgWBpNWGZVE+lrJj2H3e53Kc4PCJq0mJHxnwhgi0w67k7239hQun/RhllnyyvEEnoE8BnHYqi7eS65dBV2m5CqndVwBf7afoVSs2b3kunPajvPvBEO664zr/gX5FFMOG2ykv/8wzBpuxV76HJd9MbnFdxy/nvqIx8JOHbuTPRcU+/dSM3bqDog8j0IdTptJx1WN99R0N1cf5ikj000wk6wfWWXLvrwp4pIoJW2bg2lPAun3dLItyNVJZsJZN5V/hXo4zl4U/j6Eqbx2l593Leebzhs8yrlTO+Sy36riMC79lIcEMMa1qvyOtZFvAPegOULLzTSoaPdE/6FKmELTasDxSTozZSNOR9qVRkcaZmL13iAM47VS84bPcLNKI6YEZpKZMaJ87czmwvbOL7bsq3PNrkUZM2en8RF9F3ppSzgdbvhNKuX3ZVw4r+QXfYDJpOOotz718K/gqgcAlTO6x8oAplZTEtjP5gOVTfgKXkgUuTetie+9yK2hftqTzf7/fUq0ullttA7PSVQGKx5XafdVWbB3FK55mjyOJZS8OvIcP+iawKn5CSgjhyz0nHsNaxcutLg0uezErntjPiJxnfJaXDRwDrT1CDHzOOg4f/IQbUm4icEKov/i++Rxn9anMTg6ykmcA6LUzVudft/s8lQPy4ydChMhv+gD3VIw5u/0BG3HJGRg/wiKEEJeQgXgWLoQQfUoCqxBCqEwCqxBCqEwCqxBCqEwCqxBCqEwCqxBCqEwCqxBCqKzX1rEKIcTlQs5YhRBCZRJYhRBCZRJYhRBCZRJYhRBCZRJYhRBCZRJYhRBCZRJYhRBCZf8fAh9THzsKsHsAAAAASUVORK5CYII=" alt="">
静态变量是属于这个类所有的
static关键字只能定义在类的{}中,而不能定义在任何方法中。<br>
用static 表示变量的级别,一个类中的静态变量,不属于类的对象或者实例。
static属于类所有
静态变量是属于这个类所有的
就算把方法中的static关键字去掉也是一样的。
如果静态变量未被私有化,可以用“类名.变量名”的方式来使用。
<div class="mind-clipboard">因为静态变量与所有的对象实例共享,因此他们不具线程安全性。</div>
由类来直接调用static修饰的变量, 它不需要手动实例化类进行调用
它不需要手动实例化类进行调用
类变量的生命周期和类相同,在整个应用程序执行期间都有效。
方法/成员方法
使用static修饰的方法称为静态方法
static可以修饰方法<br>
被static修饰的方法被称为静态方法
其实,就是在一个方法定义中加上static关键字进行修饰<br>
public class StaicBlock {<br> static{<br> System.out.println("I'm A static code block");<br> }<br>}<br>
在一个方法定义中加上static关键字进行修饰
<div>用来修饰成员变量和成员方法,也可以形成静态static<span style="font-size: inherit;">代码块。</span></div>
《Java编程思想》中关于static关键字修饰方法的定义
static方法就是没有this的方法, 在static内部不能调用非静态方法,<br>
反过来是可以的, 在static外部能调用非静态方法,
而且可以在没有创建任何对象的前提下, 仅仅通过类本身来调用static方法,
这实际上是static方法的主要用途
平常见的最多的static方法就是main方法<br>
至于为什么main方法必须是static的, 现在应该很清楚了<br>
因为程序在执行main方法的时候没有创建任何对象, 因此只有通过类名来访问,<br>
main()方法就是Java 程序入口点,是静态方法。
static修饰方法的注意事项
不用创建对象,直接类名,变量名即可访问
最常用的
与静态变量一样,静态方法是属于类,而不是实例。
可以在不用创建对象的前提下,就能够访问static方法
static方法就是没有this的方法, 在static内部不能调用非静态方法,
由于静态方法不依赖于任何对象就可以直接访问,因此对于静态方法来说,是没有this关键字的,实例变量都会有this关键字。
静态方法能够直接使用类名.方法名进行调用。
可以在不用创建对象的前提下,就能够访问static方法
如何做到呢?
在上面的例子中, 由于static Method是静态方法, 所以能够使用类名.变量名进行调用。
通常静态方法,通常用于想给其他的类使用而不需要创建实例。
例如:Collections class(类集合)。
Java 的包装类和实用类包含许多静态方法
Java 的包装类和实用类包含许多静态方法<br>
static修饰的方法内部,不能调用非静态方法
在静态方法中不能访问类的非静态成员变量和非静态方法,
一个静态方法只能使用静态变量和调用静态方法
图解
static修饰的方法内部,不能调用非静态方法
非静态方法内部可以调用static静态方法
非静态方法内部可以调用static静态方法
只需要进行一次的初始化操作放在static代码块中
由于静态代码块随着类的加载而执行
因此,很多时候会将只需要进行一次的初始化操作放在static代码块中进行。
从Java8 以上版本开始也可以有接口类型的静态方法了。
代码块
代码块分为两种
使用{}代码块
static{}静态代码块
static关键字可以用来修饰代码块,
static修饰的代码块被称为静态代码块。
静态代码块可以置于类中的任何地方<br>
类中可以有多个static块
在类初次被加载时, 会按照static代码块的顺序来执行<br>
每个static修饰的代码块只能执行一次。
Java 的静态块是一组指令在类装载的时候在内存中由Java ClassLoader 执行。
静态块常用于初始化类的静态变量。
大多时候还用于在类装载时候创建静态资源。
Java 不允许在静态块中使用非静态变量。
一个类中可以有多个静态块,尽管这似乎没有什么用。
代码块的加载顺序
静态代码块的例子
静态代码块的例子
static代码块可以用来优化程序执行顺序, 是因为它的特性:
只会在类加载时执行一次。
静态块只在类装载入内存时,执行一次。
static代码块可以用来优化程序执行顺序
静态类
Java 可以嵌套使用静态类,但是静态类不能用于嵌套的顶层。
静态嵌套类的使用与其他顶层类一样,嵌套只是为了便于项目打包。
做静态代码块/形成静态static代码块
static用作静态内部类
内部类的使用场景比较少,但是内部类还有具有一些比较有用的
内部类的分类
静态内部类
普通内部类<br>
局部内部类
匿名内部类
静态内部类是什么?
用static修饰的内部类<br>
可以包含静态成员, 也可以包含非静态成员
在非静态内部类中,不可以声明静态成员
静态内部类的作用
由于非静态内部类的实例创建,需要有外部类对象的引用<br>
非静态内部类对象的创建必须依托于外部类的实例
而静态内部类的实例创建,只需依托外部类
由于非静态内部类对象持有了外部类对象的引用<br>
因此非静态内部类可以访问外部类的非静态成员:
而静态内部类只能访问外部类的静态成员
内部类需要脱离外部类对象来创建实例
避免内部类使用过程中出现内存溢出
避免内部类使用过程中出现内存溢出
静态导包<br>
导包方式1:直接import导入包<br>
使用了java.util内的工具类时, 你需要导入java.util包,才能使用其内部的工具类
举例
使用了java.util内的工具类时, 你需要导入java.util包,才能使用其内部的工具类
导包方式2:使用静态导包import static<br>
什么是静态导包
使用import static用来导入某个类或者某个包中的静态方法或者静态变量。
举例
使用静态导包import static
类加载顺序/类的初始化顺序/Java执行顺序
static修饰的变量和静态代码块在使用前已经被初始化好了,类的初始化顺序依次是<br>
解答1
加载父类的静态字段→父类的静态代码块<br>
->子类静态字段→子类静态代码块
→父类成员变量(非静态字段)→父类非静态代码块→父类构造器
→子类成员变量(非静态字段)→子类非静态代码块→子类构造器
解答2
父类静态代码块
→子类静态代码块
→父类非静态代码块→父类构造函数
→子类非静态代码块→子类构造函数
static进阶知识
static所修饰的属性和方法都属于类的
static所修饰的属性和方法都属于类的, 不会属于任何对象;<br>
它们的调用方式都是类名, 属性名/方法名,而实例变量和局部变量都是属于具体的对象实例,
static修饰变量的存储位置:方法区
JVM的不同存储区域
JVM的不同存储区域
方法区
各个线程共享的内存区域<br>
用于存储虚拟机加载的类信息、常量、静态变量、即时编译器编译后的代码等数据
static修饰的变量存储在方法区中
堆<br>
堆是线程共享的数据区<br>
<div class="mind-clipboard">堆是JVM中最大的一块存储区域</div>
所有的对象实例, 包括实例变量都在堆上进行相应的分配。
虚拟机栈
线程私有的数据区<br>
Java虚拟机栈的生命周期与线程相同
虚拟机栈也是局部变量的存储位置。
方法在执行过程中, 会在虚拟机栈种创建一个栈帧(stack frame) 。
程序计数器
线程私有的数据区<br>
这部分区域用于存储线程的指令地址
用于判断线程的分支、循环、跳转、异常、线程切换和恢复等功能,这些都通过程序计数器来完成。
本地方法栈
线程私有的数据区<br>
本地方法栈存储的区域主要是Java中使用native关键字修饰的方法所存储的区域
static变量的生命周期与类的生命周期相同
static变量的生命周期与类的生命周期相同<br>
随类的加载而创建, 随类的销毁而销毁;
普通成员变量和其所属的生命周期相同。
声明为static和transient类型的变量不能被序列化
序列化目的<br>
为了把Java对象转换为字节序列
对象转换为有序字节流, 以便其能够在网络上传输或者保存在本地文件中,<br>
声明为static和transient类型的变量不能被序列化
static关键字
因为static修饰的变量保存在方法区中, 只有堆内存才会被序列化。
transient关键字
防止对象进行序列化操作<br>
是什么?
Java 语言的关键字<br>
变量修饰符,
<div class="mind-clipboard">如果用transient 声明一个实例变量,当对象存储时,它的值不需要维持。</div>
<div class="mind-clipboard">这里的对象存储是指,Java 的serialization 提供的一种持久化对象实例的机制。</div>
当一个对象被序列化时,transient 型变量的值不包括在序列化的表示中,然而非transient 型的变量是被包括进去的。
transient 关键字的作用是控制变量的序列化
在变量声明前加上该关键字,可以阻止该变量被序列化到文件中
被transient 修饰的成员变量,在序列化的时候其值会被忽略
在被反序列化后,transient 变量的值,被设为初始值
int 型的是0
对象型的是null
使用情况
当持久化对象时,可能有一个特殊的对象数据成员,不想用serialization 机制来保存它。
为了在一个特定对象的一个域上关闭serialization,可以在这个域前加上关键字transient。
用作日志打印,减少占用内存资源
在开发过程中, 经常会使用static关键字作为日志打印<br>
这行代码你应该经常看到,用于打印日志的
但是这种打印日志的方式存在问题
对于每个Static Test的实例化对象都会拥有一个LOGGER<br>
如果创建了1000个Static Test对象, 则会多出1000个Logger对象, 造成资源的浪费
因此,通常会将Logger对象声明为static变量, 这样一来,能够减少对内存资源的占用。
static经常用作单例模式<br>
由于单例模式指的就是对于不同的类来说, 它的副本只有一个, 因此static可以和单例模式完全匹配。
经典的双重校验锁实现单例模式的场景
双重校验锁实现单例模式
使用static,保证singleton变量是静态的<br>
使用volatile,保证singleton变量的可见性
使用私有构造器,确保Singleton不能被new实例化,
使用Singleton.getInstance(), 获取singleton对象<br>
首先会进行判断, 如果singleton为空, 会锁住Singletion类对象
为什么需要两次判断 ?
如果线程t1执行到singleton==null后, 判断对象为null, 此时线程把执行权交给了t2, t2判断对象<br>为null, 锁住Singleton类对象, 进行下面的判断和实例化过程。<br>
如果不进行第二次判断的话, 那么t1在进行第一次判空后,也会进行实例化过程,此时仍然会创建多个对象。
类的构造器是否是static的
类的构造器,虽然没有用static修饰, 但是实际上是static方法
static最简单、最方便记忆的规则就是,没有this引用。<br>
角度1:类的构造器
而在类的构造器中, 是有隐含的this绑定的,因为构造方法是和类绑定的,从这个角度来看,构造器不是静态的。
角度2:类的方法
从类的方法这个角度来看,因为类.方法名不需要新创建对象就能够访问,所以从这个角度来看,构造器也不是静态的<br>
角度3:JVM指令角度
从JVM指令角度去看, 来看一个例子
从JVM指令角度去看
使用java p-c生成StaticTest的字节码看一下
生成StaticTest的字节码
而且在JVM规范中说到
JVM规范,invokespecial指令
https://docs.oracle.com/javase/specs/jvms/se7/htm/jvms-6.html#jvms-6.5.invoke static
在调用static方法时是使用的invoke static指令, new对象调用的是invokespecial指令, <br>
从这个角度来讲, invoke static指令是专门用来执行static方法的指令;<br>
invoke special是专门用来执行实例方法的指令;从这个角度来讲,构造器也不是静态的。
原文地址<br>
https://zhuanlan.zhihu.com/p/26819685
static常见问题
”static”关键字是什么意思?
是否可以重写/覆盖(override)一个private的方法?
不可以,private只能被自身类访问;
是否可以重写/覆盖(override)一个static的方法?
Java中static方法不能被覆盖
static方法跟类的任何实例都不相关,所以概念上不适用。
因为方法覆盖是基于运行时动态绑定的,而static方法是编译时静态绑定的。
不可以,static是编译时静态绑定的,override是运行时动态绑定的
是否可以在static环境中访问非static变量?
不可以,static是静态常量,属于类,调用非static变量需要new,而类的加载先于实例创建。
static变量在Java中是属于类的,它在所有的实例中的值是一样的。
当类被Java虚拟机载入的时候,会对static变量进行初始化。
如果代码尝试不用实例,来访问非static的变量,编译器会报错
因为这些变量还没有被创建出来,还没有跟任何实例关联上。
final关键字
是什么?
Java 中的一个关键字
表示的是“这部分是无法修改的”。
final的意思是最后的、最终的。
final关键字可以修饰<br>
变量
方法中的局部变量
成员变量
类
final类
final修饰类时,表明这个类不能被继承。
final类中的成员变量可以根据需要设为final,但是要注意final类中的所有成员方法都会被隐式地指定为final方法。
可以使用final将类声明为final类。final类不能被继承,即不能有子类。<br>
如果把任何一个类声明为final,则不能继承它。
如:<br>final class A {<br>…<br>}
final class Parent {<br>}
以上类不能被继承!
方法
final方法
final修饰方法时,表明这个方法不能被任何子类重写,
如果只有在想明确禁止该方法在子 类中被覆盖的情况下才将方法设置为final。
如果用final修饰父类中的一个方法,那么这个方法不允许子类重写。 <br>
如果任何方法声明为final,则不能覆盖它。<br>
class Parent{<br> final void name() {<br> System.out.println("Hollis");<br>}}
当定义以上类的子类时,无法覆盖其name 方法,会编译失败。
final修饰变量分为两种情况
一种是修饰基本数据类型,表示数据类型的值不能被修改;
一种是 修饰引用类型,表示对其初始化之后便不能再让其指向另一个对象。
用法跟final 相似的关键字const<br>
const 是Java 预留关键字,<br>
用于后期扩展用,用法跟final 相似,不常用。
方法覆盖和方法重载
方法重载/Overload
定义
方法重载(Overloading)<br>
它是类名的不同表现形式
在Java中一个很重要的概念是方法的重载<br>
重载Overload是一个类中多态性的一种表现
重载只是一种语言特性,是一种语法规则,与多态无关,与面向对象也无关。
函数或者方法有同样的名称,但是参数列表不相同的情形,这样的同名不同参数的函数或者方法之间,互相称之为重载函数或者方法。
描述的是同一类中的
方法能够在同一个类中或者在一个子类中被重载
发生在同一个类里面,两个或者是多个方法的方法名相同,但是参数不同的情况。
在一个类中,同名的方法,如果有不同的参数列表,则视为重载。<br>
一个类中可以有多个方法具有相同的名字,但这些方法的参数必须不同,即或者是参数的个数不同,或者是参数的类型不同。
允许一个类中存在多个方法名相同的方法,只要他们参数列表不同即可;
方法的返回类型可以相同也可以不相同
与返回值类型无关
被重载的方法可以改变返回类型
方法的返回类型可以相同也可以不相同
对返回类型没有要求,可以相同也可以不同
返回值类型,可以相同也可以不相同。
仅仅返回类型不同,不足以成为方法的重载
无法以返回类型作为重载函数的区分标准
不能通过返回类型是否相同,来判断重载
方法名相同,参数列表不相同
方法名称必须相同
参数列表必须不同
同名方法的参数列表不同
被重载的方法必须改变参数列表<br>
JVM通过参数列表,调用不同的方法
参数列表不同指的是
参数的顺序不同
参数类型排列顺序不同
参数个数不同
参数类型不同
注意: int fun(int x)和int fun(int y)不算重载
其他重载的条件
被重载的方法可以改变访问修饰符
被重载的方法可以声明新的或更广的检查异常
重载是一个编译期概念
重载遵循所谓“编译期绑定”
重载是发生在编译时的,因为编译器可以根据参数的类型来选择使用哪个方法
即在编译时,根据参数变量的类型判断应该调用哪个方法。
因为在编译期已经确定调用哪个方法,所以重载并不是多态。
(注:严格来说,重载是编译时多态,即静态多态)
但是,Java 中提到的多态,在不特别说明的情况下,都指动态多态
构造函数也是重载的一种,另外一种就是方法的重载
方法重载
一种是Apple构造函数的重载
一种是getApple方法的重载。
要是有几个相同的名字,Java如何知道你调用的是哪个方法呢?
每个重载的方法都有独一无二的参数列表。
其中包括参数的类型、顺序、参数数量等,满 足一种一个因素就构成了重载的必要条件。
重载的例子1
重载的例子1
上面的代码中,定义了两个bark 方法,
一个是没有参数的bark 方法,
另外一个是包含一个int 类型参数的bark 方法。
在编译期,编译期可以根据方法签名(方法名和参数情况)情况确定哪个方法被调用。
重载的例子2
Father类中sayHello方法是重载方法
public class Father {<br> public static void main(String[] args) {<br> Father s = new Father();<br> s.sayHello();<br> s.sayHello("wintershii");<br> }<br> public void sayHello() {<br> System.out.println("Hello");<br> }<br> public void sayHello(String name) {<br> System.out.println("Hello" + " " + name);<br> }<br>}
重载的例子3
A类中add方法是重载方法<br>
class A {<br> float add(int a,int b) {<br> return a+b;<br> }<br> float add(long a,int b) {<br> return a+b;<br> }<br> double add(double a,int b) {<br> return a+b;<br> }<br>}<br>
方法覆盖/方法重写/Override
定义
又叫方法重写(Override)
重新写一遍
就是子类继承了父类原有的方法,但有时子类并不想原封不动的继承父类中的某个方法,
所以在方法名,参数列表,返回类型都相同的情况下, 对方法体进行修改或重写
返回类型(除过子类中方法的返回值是父类中方法返回值的子类时)
方法重写的目的<br>
子类通过重写可以隐藏已继承的实例方法。<br>
子类通过方法的重写可以隐藏继承的方法,子类通过方法的重写可以把父类的状态和行为改变为自身的状态和行为。
描述是对子类和父类之间的
发生在父类与子类之间
Java的子类与父类中有两个名称、参数列表都相同的方法
子类中定义一个方法,这个方法的类型和父类的方法的类型一致或者是父类的方法的类型的子类型,<br>
并且这个方法的名字、参数个数、参数的类型和父类的方法完全相同。
子类中的新方法将覆盖父类中原有的方法
由于他们具有相同的方法签名,所以子类中的新方法将覆盖父类中原有的方法。
子类重新定义了父类的方法。
在子类中,把父类本身有的方法,重新写一遍。
方法名,参数列表,返回类型必须相同
方法覆盖必须有相同的方法名,参数列表和返回类型。
(除过子类中方法的返回类型是父类中返回类型的子类)
方法的名字、参数个数、参数的类型和父类的方法完全相同。
方法的类型和父类的方法的类型一致或者是父类的方法的类型的子类型
子类重新定义父类的方法,重写必须有相同方法名,参数列表和返回类型
子类函数的访问修饰权限不能少于父类的
访问修饰符的限制一定要大于被重写方法的访问修饰符
public>protected>default>private
覆盖者可能不会限制它所覆盖的方法的访问。
重写方法一定不能抛出新的检查异常,或者比被重写方法申明更加宽泛的检查型异常<br>
重写是一个运行期间概念
重写遵循所谓“运行期绑定”
即在运行时,根据引用变量所指向的实际对象的类型来调用方法。
而重写是多态。
方法重写的原则以及语法规则
重写的方法可以使用@Override注解来标识
重写的方法必须要和父类保持一致,包括返回值类型,方法名,参数列表也都一样
子类中重写方法的访问权限,不能低于父类中方法的访问权限。
重写父类的方法时,不可以降低方法的访问权限。 <br>
如:<br>class A {<br> protected float f(float x,float y) {<br> return x-y;<br> }<br>}<br>class B extends A { <br> float f(float x,float y) {//非法,因为降低了访问权限<br> return x+y ;<br> }<br>}<br>class C extends A {<br> public float f(float x,float y) {//合法,提高了访问权限<br> return x*y ;<br> }<br> } <br>
如果子类可以继承父类的某个实例方法,那么子类就有权利重写这个方法。<br>
重写方法一定不能抛出新的检查异常或比被重写的方法声明的检查异常更广泛的检查异常。
重写的方法能够抛出更少或更有限的异常(也就是说,被重写的方法声明了异常,但重写的方法可以什么也不声明)。
不能重写被标识为final 的方法。
如果不能继承一个方法,则不能重写这个方法。
JDK 1.5对方法重写的改进
在JDK 1.5版本之后,允许重写方法的类型可以是父类方法的类型的子类型,即不必完全一致.
也就是说,如果父类的方法的类型是“类”,重写方法的类型可以是“子类”。
重写的条件
参数列表必须完全与被重写方法的相同;
返回类型必须完全与被重写方法的返回类型相同;
访问级别的限制性一定不能比被重写方法的强;
访问级别的限制性可以比被重写方法的弱;
重写的例子1
重写的例子
子主题
输出结果:
bowl
上面的例子中,dog 对象被定义为Dog 类型。
在编译期,编译器会检查Dog 类中是否有可访问的bark()方法,只要其中包含bark()方法,那么就可以编译通过。
在运行期,Hound 对象被new 出来,并赋值给dog 变量,这时,JVM 是明确的知道dog 变量指向的其实是Hound 对象的引用。
所以,当dog 调用bark()方法的时候,就会调用Hound类中定义的bark()方法。这就是所谓的动态多态性。
重写的例子2
例如
子类Apple中的方法和父类Fruit中的方法同名,
上面这段代码描述的就是重写的代码
重写的例子3
public class Father {<br> public static void main(String[] args) {<br> Son s = new Son();<br> s.sayHello();<br> }<br> public void sayHello() {<br> System.out.println("Hello");<br> }<br>}<br><br>class Son extends Father{<br> @Override<br> public void sayHello() { <br> System.out.println("hello by ");<br> }<br>}
初始化
类的初始化
上面创建出来了一个Car这个对象,其实在使用new关键字创建一个对象时,其实是调用了 这个对象无参数的构造方法进行的初始化
这段代码
这个无参数的构造函数可以隐藏,由JVM自动添加
即,构造函数能够确保类的初始化。
成员初始化
Java会尽量保证每个变量在使用前都会获得初始化
涉及两种方式
编译器默认指定的字段初始化
基本数据类型的初始化
子主题
—种是其他对象类型的初始化
String也是一种对象,对象的初始值都为null,
其中也包括基本类型的包装类。
指定数值的初始化
int a = 11<br>
指定a的初始化值不是0,而是11。
其他基本类型和对象类型也是一样的。
构造器初始化
可以利用构造器来对某些方法和某些动作进行初始化,确定初始值
例如
利用构造函数,能够把i的值初始化为11
初始化顺序
有哪些需要探讨的初始化顺序
静态属性
static开头定义的属性
静态方法块
static {}包起来的代码块
普通属性
非static定义的属性
普通方法块
{}包起来的代码块
构造函数
类名相同的方法
方法
普通方法
举例有哪些需要探讨的初始化顺序
举例
这段代码的执行结果就反应了它的初始化顺序<br>
静态属性初始化
静态方法块初始化
普通属性初始化
普通方法块初始化
构造函数初始化
数组初始化<br>
数组是相同类型的、用一个标识符名称封装到一起的一个对象序列或基本类型数据序列。
数组是通过方 括号下标操作符 口 来定义使用。
—般数组是这么定义的
—般数组的定义
两种格式的含义是一样的。
直接绐每个元素赋值:int array[4] = {1,2,3,4};
给一部分赋值,后面的都为0 : int array[4] = {1,2};
由赋值参数个数决定数组的个数:int array[] = {1,2};
可变参数列表
数组冷门的用法
可变参数的定义
可变参数的定义
可变参数的调用
可变参数的调用
销毁
不需要手动管理对象的销毁工 作
虽然Java语言是基于C++的,但是它和C/C++ —个重要的特征就是不需要手动管理对象的销毁工 作。
在著名的一书《深入理解Java虚拟机》中提到一个观点<br>
Java与C++之间有一堵“高墙”
由内存动态分配和垃圾收集技术所围成的
墙外面的人 想进去,墙里面的人却想出来。
在Java中,不再需要手动管理对象的销毁,它是由Java虚拟机进行管理和销毁的
虽然不需要手动管理对象,但是需要知道对象作用域这个概念。
对象作用域
多数语言都有作用域(scope)这个概念。
作用域,决定了其内部定义的变量名的可见性和生命周期。
在 C、C++和Java中,作用域通常由{}的位置来决定
例如
a变量会在两个{}作用域内有效,而b变量的值只能在它自己的{}内有效。
虽然存在作用域,但是不允许这样写
Java中不允许的写法
这种写法在C/C++中是可以的,但是在Java中不允许这样写
因为Java设计者认为这样写会导致程序混乱
this 和 super
this和super都是Java中的关键字
this
this
表示某个对象
表示的当前对象
this可调用方法、调用属性和指向对象本身
什么时候可以省略this ?
当一个对象调用方法时,方法中的实例成员变量就是指分配给该对象的实例成员变量,而static变量则和其他对象共享。<br>
因此,通常情况下,可以省略实例成员变量名字前面的“this.”,以及static变量前面的“类名.”。
但是,当实例成员变量的名字和局部变量的名字相同时,成员变量前面的“this.”或“类名.”就不可以省略。 <br>
其他场景:区分成员变量和局部变量<br>
如果局部变量的名字与成员变量的名字相同,则成员变量被隐藏,即这个成员变量在这个方法内暂时失效
如果想在该方法中使用被隐藏的成员变量,必须使用关键字this <br>
为什么this不能出现在类方法中?<br>
this可以出现在实例方法和构造方法中,但不可以出现在类方法中。<br>
实例方法可以操作类的成员变量,当实例成员变量在实例方法中出现时,默认的格式是:this.成员变量;<br>
当static成员变量在实例方法中出现时,默认的格式是:类名.成员变量;
因为类方法可以通过类名直接调用
这时,可能还没有任何对象诞生。
this在Java中的使用一般有三种
和构造函数一起使用,充当一个全局关键字的效果
和构造函数一起使用,充当一个全局关键字的效果
你会发现上面这段代码使用的不是this,而是this(参数)
它相当于调用了其他构造方法,然后传递 参数进去。
注意:this必须放在构造方法的第一行,否则编译不通过
this必须放在构造方法的第一行,否则编译不通过
修饰属性
最常见的就是在构造方法中使用this
在构造方法中使用this
在构造方法中使用this
main方法中传递了一个int值为10的参数,
它表示的就是苹果的数量,并把这个数量赋绐了 num全 局变量。
所以num的值现在就是10。
指向当前对象本身
指向当前对象本身
一个eatAppleO方法可以调用多次,你在后面还可以继续调 用。其实就是this,
在eat Apple方法中加了一个return this的返回值,
哪个对象调用eatApple方法,都能返回对象的自身。
super
如果把this理解为指向自身的一个引用,那么super就是指向父类的一个引用。super关键字和this —样
使用super.对象来引用父类的成员
使用super.对象 来引用父类的成员
使用super操作被隐藏的成员变量和方法 <br>
在子类中想使用被子类隐藏的成员变量或方法就可以使用关键字super。<br>
比如super.x、super.play()就是访问和调用被子类隐藏的成员变量x和方法play()。
使用super调用父类的构造方法
使用super参数来调用父类的构造函数
用子类的构造方法创建一个子类的对象时,子类的构造方法总是先调用父类的某个构造方法,<br>
也就是说,如果子类的构造方法没有明显地指明使用父类的哪个构造方法,子类就调用父类的不带参数的构造方法,
即如果在子类的构造方法中,没有明显地写出super关键字来调用父类的某个构造方法,那么默认地有:super();
子类不继承父类的构造方法,因此,子类在其构造方法中需使用super来调用父类的构造方法,而且super必须是子类构造方法中的头一条语句。
this关键字和super关键字的比较
this关键字和super关键字的比较
编程风格
Allmans风格
也称“独行”风格,<br>
即左、右大括号各自独占一行。
Kernighan风格<br>
也称“行尾”风格,<br>
即左大括号在上一行的行尾,而右大括号独占一行 。
注释<br>
目的:有利于代码的维护和阅读
Java支持两种格式的注释
1)单行注释<br>
使用“//”表示单行注释的开始,即该行中从“//”开始的后续内容为注释.
2) 多行注释
使用“/*”表示注释的开始,以“*/”表示注释结束.<br>
参数传值和传值机制、可变参数<br>
方法中最重要的部分之一就是方法的参数,参数属于局部变量,<br>
当对象调用方法时,参数被分配内存空间,并要求调用者向参数专递值,即方法被调用时,参数变量必须有具体的值。
基本数据类型参数的传值
对于基本数据类型的参数,向该参数传递的值的级别不可以高于该参数的级别 。<br>
引用类型参数的传值
当参数是引用类型时,“传值”传递的是变量中存放的“引用”,而不是变量所引用的实体。<br>
引用类型参数的传值
可变参数
可变参数是指在声明方法时不给出参数列表中从某项直至最后一项参数的名字和个数,但这些参数的类型必须相同。<br>
可变参数使用“…”表示若干个参数,这些参数的类型必须相同,最后一个参数必须是参数列表中的最后一个参数。
例如: public void f(int … x)
方法f的参数列表中,从第1个至最后一个参数都是int型,但连续出现的int型参数的个数不确定。
称x是方法f的参数列表中的可变参数的“参数代表”。
参数代表可以通过下标运算来表示参数列表中的具体参数,即x[0],x[1]…x[m]分别表示x代表的第1个至第m个参数。
实参与形参
在Java 中定义方法的时候是可以定义参数的。
比如Java 中的main 方法,public static void main(String[] args),
这里面的args 就是参数。
参数在程序语言中分为
形式参数
是在定义函数名和函数体的时候使用的参数,
目的是用来接收调用该函数时传入的参数。
实际参数
在调用有参函数时,主调函数和被调函数之间有数据传递关系。
在主调函数中调用一个函数时,函数名后面括号中的参数称为“实际参数”。
简单举个例子:
实际参数是调用有参方法的时候真正传递的内容
而形式参数是用于接收实参内容的参数。
值传递与引用传递
当我们调用一个有参函数的时候,会把实际参数传递给形式参数。
但是,在程序语言中,这个传递过程中传递的两种情况
值传递
引用传递
如何定义和区分值传递和引用传递?
值传递
对基本类型变量而言的
传递的是该变量的一个副本,改变副本不影响原变量。
是指在调用函数时将实际参数复制一份传递到函数中
这样在函数中如果对参数进行修改,将不会影响到实际参数
(pass by value)
引用传递
对于对象型变量而言
传递的是该对象地址的一个副本,并不是原对象本身。
是指在调用函数时将实际参数的地址直接传递到函数中
那么在函数中对参数所进行的修改,将影响到实际参数
(pass by reference)
值传递和引用传递之前的区别的重点
值传递和引用传递之前的区别的重点
举一个形象的例子(给钥匙)
你有一把钥匙,当你的朋友想要去你家的时候,如果你直接把你的钥匙给他了
这种情况下,如果他对这把钥匙做了什么事情,比如他在钥匙上刻下了自己名字,<br>那么这把钥匙还给你时,你自己的钥匙上也会多出他刻的名字。
你有一把钥匙,当你的朋友想要去你家的时候,你复刻了一把新钥匙给他,自己的还在自己手里
这种情况下,他对这把钥匙做什么都不会影响你手里的这把钥匙。
为什么说Java 中只有值传递
一般认为Java内的传递都是值传递。<br>
在Java中,方法的所有参数都是“传值”的,也就是说,方法中参数变量的值是调用者指定的值的拷贝。<br>
例如,如果向方法的int型参数x传递一个int值,那么参数x得到的值是传递的值的拷贝。
很多人理解的是错误的
关于这个问题,在StackOverflow 上也引发过广泛的讨论,
<div class="mind-clipboard">看来很多程序员对于这个问题的理解都不尽相同,甚至很多人理解的是错误的。</div>
还有的人可能知道Java 中的参数传递是值传递,但是说不出来为什么
错误理解一:值传递和引用传递,区分的条件是传递的内容
如果是个值,就是值传递。
<div class="mind-clipboard">如果是个引用,就是引用传递。</div>
错误理解二:Java 是引用传递
错误理解三:传递的参数如果是普通类型,那就是值传递,如果是对象,那就是引用传递。
求值策略
当进行方法调用时,需要把实际参数传递给形式参数,那么传递的过程中到底传递的是什么东西呢?
这其实是程序设计中求值策略(Evaluation strategies)的概念。
在计算机科学中,求值策略是确定编程语言中表达式的求值的一组(通常确定性的)规则。
求值策略定义何时和以何种顺序求值给函数的实际参数、什么时候把它们代换入函数、和代换以何种形式发生。
求值策略分为两大基本类,基于如何处理给函数的实际参数,分为<br>
严格求值
在“严格求值”中,函数调用过程中,给函数的实际参数总是在应用这个函数之前求值。
<div class="mind-clipboard">多数现存编程语言对函数都使用严格求值。</div>
所以,我们本文只关注严格求值。
在严格求值中有几个关键的求值策略是我们比较关心的
在严格求值中,有几个关键的求值策略
传值调用(Call by value)(值传递)
在传值调用中,实际参数先被求值,然后其值通过复制,被传递给被调函数的形式参数。
因为形式参数拿到的只是一个"局部拷贝",所以如果在被调函数中改变了形式参数的值,并不会改变实际参数的值。
传值调用是指在调用函数时将实际参数复制一份传递到函数中
所以,两者的最主要区别就是是直接传递的,还是传递的是一个副本。
传引用调用(Call by reference)(引用传递)
在传引用调用中,传递给函数的是它的实际参数的隐式引用,而不是实参的拷贝。<br>
因为传递的是引用,所以,如果在被调函数中改变了形式参数的值,改变对于调用者来说是可见的。
传引用调用是指在调用函数时将实际参数的引用直接传递到函数中。
所以,两者的最主要区别就是是直接传递的,还是传递的是一个副本。
传共享对象调用(Call by sharing)(共享对象传递)
传共享对象调用中,先获取到实际参数的地址,然后将其复制,并把该地址的拷贝传递给被调函数的形式参数。
因为参数的地址都指向同一个对象,所以我们也称之为"传共享对象",
所以,如果在被调函数中改变了形式参数的值,调用者是可以看到这种变化的。
其实传共享对象调用和传值调用的过程几乎是一样的,都是进行"求值"、"拷贝"、"传递"。
<div>但是,传共享对象调用和内传引用调用的结果又是一样的,都是在被调函数中如果改变<span style="font-size: inherit;">参数的内容,那么这种改变也会对调用者有影响</span></div>
共享对象传递和值传递以及引用传递之间到底有很么关系呢?
对于这个问题,我们应该关注过程,而不是结果,因为传共享对象调用的过程和传值调<br>用的过程是一样的,而且都有一步关键的操作,那就是"复制",所以,通常我们认为传共享<br>对象调用是传值调用的特例。
非严格求值
Java 的求值策略
很多人说Java 中的基本数据类型是值传递的,这个基本没有什么可以讨论的,普遍都是这样认为的。
误区
但是,有很多人却误认为Java 中的对象传递是引用传递。
之所以会有这个误区,主要是因为Java 中的变量和对象之间是有引用关系的。
Java 语言中是通过对象的引用来操纵对象的。所以,很多人会认为对象的传递是引用的传递。
而且很多人还可以举出以下的代码示例:
可以看到,对象类型在被传递到pass 方法后,在方法内改变了其内容,最终调用方main 方法中的对象也变了。
所以,很多人说,这和引用传递的现象是一样的,就是在方法内改变参数的值,会影响到调用方。
但是,其实这是走进了一个误区。
Java 中的对象传递
很多人通过代码示例的现象说明Java 对象是引用传递,那么我们就从现象入手,先来反驳下这个观点。
,Java 中的求值策略是共享对象传递
Java 中只有值传递,只不过传递的内容是对象的引用。这也是没毛病的
绝对不能认为Java 中有引用传递。
有理数的类封装
有理数有两个重要的成员:分子和分母,另外还有重要的四则运算。 <br>
对象拷贝
为什么要使用克隆?
如何实现对象克隆?
深拷贝和浅拷贝区别是什么?
泛型
什么是泛型
在JDK1.5后
提出了一种新的概念,那就是泛型
Java集合框架开始支持泛型
泛型(Generics)是在JDK1.5中推出的
Generics(泛型)
泛型其实就是一种参数化的集合,它限制了你添加进集合的类型。
泛型的本质就是一种参数化类型。多态也可以看作是泛型的机制。
一个类继承了父类,那么就能通过它的父类找到对应的子类,但是不能通 过其他类来找到具体要找的这个类。
泛型的设计之处就是希望对象或方法具有最广泛的表达能力。
泛型诞生的背景
在集合中存储对象并在使用前进行类型转换是多么的不方便。
泛型防止了那种情况的发生。
它提供了编译期的类型安全,确保你只能把正确类型的对象放入集合中,避免了在运行时出现ClassCastException。
泛型提供了编译时类型安全检测机制,该机制允许程序员在编译时检测到非法的类型。
比如要写一个排序方法,能够对整型数组、字符串数组甚至其他任何类型的数组进行排序,可以使用Java 泛型。
没有泛型的用法
这段程序不能正常运行,原因是Integer类型不能直接强制转换为String类型
java.lang.ClassCastException: java.lang.Integer cannot be cast to java.lang.String
用泛型进行改写后
示例代码如下
用泛型进行改写后
这段代码在编译期间就会报错,编译器会在编译阶段就能够发现类似这样的问题。<br>
类型擦除
类型擦除是什么?
泛型是通过类型擦除来实现的
Java中的泛型基本上都是在编译器这个层次来实现的。
在生成的Java字节代码中是不包含泛型中的类型信息的。
使用泛型时加上的类型参数,会被编译器在编译时去掉。
泛型信息只存在编译阶段,在进入JVM之前,与泛型相关的信息会被擦除。
通俗来讲,泛型类和普通类在java虚拟机内没有什么特别的地方。
例如List<String>在运行时,仅用一个List来表示。
如在代码中定义的List<Object>和List<String>等类型,在编译之后都会变成List。
JVM看到的只是List,而由泛型附加的类型信息对JVM来说是不可见的。
编译器在编译时,擦除了所有类型相关的信息,故在运行时不存在任何类型相关的信息。
这样做的目的<br>
确保能和Java 5之前的版本开发二进制类库进行兼容。
你无法在运行时访问到类型参数,因为编译器已经把泛型类型转换成了原始类型。
类型擦除的基本过程
首先,找到用来替换类型参数的具体类。
这个具体类一般是Object。
如果指定了类型参数的上界,则使用这个上界。
把代码中的类型参数都替换成具体的类。
泛型的本质<br>
泛型的本质是参数化类型,也就是说所操作的数据类型被指定为一个参数。
参数化类型,就是将类型由原来的具体的类型参数化,就像方法中的变量参数,
此时类型也定义成参数形式(类型形参),然后在使用/调用时传入具体的类型(类型实参)
也就是说在泛型使用过程中,操作的数据类型被指定为一个参数,
这种参数类型可以用在类、接口和方法中,分别被称为泛型类、泛型接口、泛型方法。
使用泛型的目的与优点
主要目的:可以建立具有类型安全的集合框架/数据结构,如链表、散列映射等数据结构
帮助我们处理多种数据类型执行相同的代码
数据安全性<br>
泛型中的类型在使用时指定类型后,不需要强制类型转换,
最早起Java是没有泛型的,它是使用Object来代替的,程序员在写程序时易出现类型转换的错误。
最重要的一个优点就是
在使用这些泛型类建立数据结构时,不必进行强制类型转换,即运行时不进行类型检查。<br>
JDK1.5是支持泛型的编译器,它将运行时的类型检查提前到编译时执行,使代码更安全。
泛型的使用
泛型的使用有多种方式,下面我们就来一起探讨一下
用泛型表示类(泛型类)
可以使用“class 名称<泛型列表>”声明一个类
为了和普通的类有所区别,这样声明的类称作泛型类
泛型可以加到类上面,来表示这个类的类型
如:class ShowObject<E> <br>
其中ShowObject是泛型类的名称
E是其中的泛型
并没有指定E是何种类型的数据,它可以是任何对象或接口,但不能是基本类型数据。 <br>
举例说明
用泛型表示类
使用泛型类声明对象
泛型类声明和创建对象时,类名后多了一对“<>”<br>
而且必须要用具体的类型替换“<>”中的泛型
例如:<br>
Cone<Circle> coneOne;<br> coneOne =new Cone<Circle>(new Circle());
Java中如何使用泛型编写带有参数的类?
要求你用泛型编写一个类型安全的类,而不是编写一个泛型方法。
关键仍然是使用泛型类型来代替原始类型,而且要使用JDK中采用的标准占位符。
泛型类<T>
泛型类的声明和非泛型类的声明类似,除了在类名后面添加了类型参数声明部分。
和泛型方法一样,泛型类的类型参数声明部分也包含一个或多个类型参数,参数间用逗号隔开。
一个泛型参数,也被称为一个类型变量,是用于指定一个泛型类型名称的标识符。
因为他们接受一个或多个参数,这些类被称为参数化的类或参数化的类型。
用泛型表示接口(泛型接口)<br>
泛型接口与泛型类的定义及使用基本相同。
泛型类和普通类都可以实现泛型接口,但普通类实现泛型接口时,必须指定泛型接口中泛型列表中的具体类型
可以使用“interface 名称<泛型列表>”声明一个接口
这样声名的接口称作泛型接口<br>
如:
interface Listen<E> {<br> void listen(E x);<br> }
其中Listen<E>是泛型接口的名称,E是其中的泛型。
用泛型表示接口
—般泛型接口常用于生成器中
生成器
相当于对象工厂
一种专门用来创建对象的类。
(generator)
使用泛型来表示方法(泛型方法)
可以使用泛型来表示方法
泛型方法(<E>)
你可以写一个泛型方法,该方法在调用时可以接收不同类型的参数。根据传递给泛型方法的参数类型,编译器适当地处理每一个方法调用。
使用泛型来表示方法(泛型方法)
如何编写一个泛型方法,让它能接受泛型参数并返回泛型类型?<br>
编写泛型方法并不困难,需要用泛型类型来替代原始类型
比如使用T, E or K,V等,被广泛认可的类型占位符。
泛型通配符/限定通配符与非限定通配符
List是泛型类,为了表示各种泛型List的父类,可以使用类型通配符,类型通配符使用问号(?)表 示,它的元素类型可以匹配任何类型。例如
例如
泛型通配符
泛型中的限定通配符
限定通配符对类型进行了限制。
泛型类型必须用限定内的类型来进行初始化,否则会导致编译错误。
有两种限定通配符<br>
上界通配符<? extends ClassType>
<? extends ClassType>
<? extends T>表示该通配符所代表的类型是T类型的子类。
<? extends T>,通过确保类型必须是T的子类来设定类型的上界
该通配符为ClassType的所有子类型。
它表示的是任何类型都是 ClassType类型的子类。
下界通配符<? super ClassType〉
<? super ClassType〉
<? super T>,通过确保类型必须是T的父类来设定类型的下界。
<? super T>表示该通配符所代表的类型是T类型的父类。
该通配符为ClassType的所有超类型。
它表示的是任何类型的父 类都是 ClassType。
List<? extends T>和List <? super T>之间有什么区别 ?
这两个List的声明都是限定通配符的例子,
List<? extends T>可以接受任何继承自T的类型的List
List<? super T>可以接受任何T的父类构成的List<br>
泛型中的非限定通配符<br>
<?>表示了非限定通配符,因为<?>可以用任意类型来替代。
例题
子主题<br>
1. 只看尖括号里边的!!明确点和范围两个概念<br>2. 如果尖括号里的是一个类,那么尖括号里的就是一个点,比如List<A>,List<B>,List<Object><br>3. 如果尖括号里面带有问号,那么代表一个范围,<? extends A> 代表小于等于A的范围,<? super A>代表大于等于A的范围,<?>代表全部范围<br>4. 尖括号里的所有点之间互相赋值都是错,除非是俩相同的点<br>5. 尖括号小范围赋值给大范围,对,大范围赋值给小范围,错。如果某点包含在某个范围里,那么可以赋值,否则,不能赋值<br>6. List<?>和List 是相等的,都代表最大范围<br>----------------------------------------------------------------------------------<br>7.补充:List既是点也是范围,当表示范围时,表示最大范围
子主题<br>
ACDG 考察泛型通配符
?:任意类型,
如果没有明确,那么就是Object以及任意的Java类了
? extends E:
向下限定,E及其子类
? super E:
向上限定,E及其父类
类型通配符?
一般是使用?代替具体的类型参数。
例如 List<?> 在逻辑上是List<String>,List<Integer> 等所有List<具体类型实参>的父类。
常见问题
编写一段泛型程序来实现LRU缓存?<br>
LinkedHashMap可以用来实现固定大小的LRU缓存,当LRU缓存已经满了的时候,它会把最老的键值对移出缓存。
LinkedHashMap提供了一个称为removeEldestEntry()的方法,该方法会被put()和putAll()调用来删除最老的键值对
你可以把List<String>传递给一个接受List<Object>参数的方法吗?
因为List<Object>可以存储任何类型的对象包括String, Integer等等,<br>
而List<String>却只能用来存储Strings。<br>
List<Object> objectList;<br>List<String> stringList;<br>objectList = stringList; //compilation error incompatible types
Array中可以用泛型吗?
Array事实上并不支持泛型,这也是为什么Joshua Bloch在Effective Java一书中建议使用List来代替Array
因为List可以提供编译期的类型安全保证,而Array却不能。
如何阻止Java中的类型未检查的警告?
如果你把泛型和原始类型混合起来使用<br>
例如下列代码,Java 5的javac编译器会产生类型未检查的警告,<br>
例如 List<String> rawList = new ArrayList()
枚举<br>
枚举类型的诞生背景
在java 语言中还没有引入枚举类型之前,表示枚举类型的常用模式是声明一组具int常量。<br>
参考代码
之前通常利用public final static 方法定义的代码如下,<br>
分别用1 表示春天,2表示夏天,3 表示秋天,4 表示冬天。
这种方法称作int 枚举模式
存在的问题描述
可这种模式有什么问题呢,我们都用了那么久了,应该没问题的。<br>
通常写出来的代码都会考虑它的安全性、易用性和可读性。
首先来考虑一下它的类型安全性。
当然这种模式不是类型安全的。
比如说设计一个函数,要求传入春夏秋冬的某个值。
但是使用int 类型,我们无法保证传入的值为合法。
代码示例
无法保证传入的值为合法<br>
无法保证传入的值为合法
程序getChineseSeason ( Season .SPRING )是预期的使用方法。
可getChineseSeason(5)显然就不是了,而且编译很通过,在运行时会出现什么情况,就不得而知了。
这显然就不符合Java 程序的类型安全。
这种模式的可读性
使用枚举的大多数场合,我都需要方便得到枚举类型的字符串表达式。
如果将int 枚举常量打印出来,所见到的就是一组数字,这是没什么太大的用处。
我们可能会想到使用String 常量代替int 常量。
虽然它为这些常量提供了可打印的字符串,但是它会导致性能问题,因为它依赖于字符串的比较操作,
所以这种模式也是不期望的。
从类型安全性和程序可读性两方面考虑,int 和String 枚举模式的缺点就显露出来了。
幸运的是,从Java1.5 发行版本开始,就提出了另一种可以替代的解决方案,可以避免int 和String 枚举模式的缺点,并提供了许多额外的好处。
那就是枚举类型(enum type)。
关于枚举
枚举可能是我们使用次数比较少的特性,<br>
在Java中,枚举使用enum关键字来表示
枚举其实是一 项非常有用的特性,可以把它理解为具有特定性质的类。
总的来说,枚举的使用不是很复杂,它也是Java中很小的一块功能,但有时却能够因为这一个小技巧,能够让你的代码变得优雅和整洁。
enum不仅仅Java有,C和C++也有枚举 的概念。
Java中的枚举类型,采用关键字enum 来定义
从jdk1.5才有的新类型
所有的枚举类型,都是继承自Enum类型
Enum作为Sun全新引进的一个关键字,看起来很象是特殊的class,
它也可以有自己的变量,可以定义自己的方法,可以实现一个或者多个接口。
枚举类型的定义<br>
枚举类型(enum type)
枚举类型
JDK1.5 引入了一种新的数据类型
是指由一组固定的常量组成合法的类型。
Java 中由关键字enum 来定义一个枚举类型。Java使用关键字enum声明枚举类型
Java 1.5 的枚举能满足绝大部分程序员的要求的,它的简明,易用的特点是很突出的。
Java SE5 提供了一种新的类型-Java 的枚举类型,<br>
关键字enum 可以将一组具名的值的有限集合创建为一种新的类型,而这些具名的值可以作为常规的程序组件使用,这是一种非常有用的功能。
语法格式如下
enum 名字 { <br> 常量列表<br>}<br>
其中的常量列表,是用逗号分割的字符序列,称为枚举类型的常量。
例如<br>
enum Season { <br> spring, summer, autumn, winter <br> }
public enum Season {<br>SPRING, SUMMER, AUTUMN, WINTER;<br>}<br>
声明了名字为Season的枚举类型,该枚举类型有4个常量。 <br>
枚举类型的好处
Java 定义枚举类型的语句很简约
可以避免int 和String 枚举模式的缺点,并提供了许多额外的好处
枚举类型的特点
1) 使用关键字enum ;
2) 类型名称,比如这里的Season ;
3) 一串允许的值,比如上面定义的春夏秋冬四季;
4) 枚举可以单独定义在一个文件中,也可以嵌在其它Java 类中除了这样的基本要求外,用户还有一些其他选择;
5) 枚举可以实现一个或多个接口(Interface);
6) 可以定义新的变量;
7) 可以定义新的方法;
8) 可以定义根据具体枚举值而相异的类。
它不能有public的构造函数,这样做可以保证客户代码没有办法新建一个enum的实例。
所有枚举值都是public , static,final的。
注意这一点只是针对于枚举值,可以和在普通类里面定义 变量一样定义其它任何类型的非枚举变量,这些变量可以用任何你想用的修饰符。
Enum默认实现了java.lang.Comparable接口。
枚举变量
enum Season { <br> spring, summer, autumn, winter <br> }<br>
声明了名字为Season的枚举类型,该枚举类型有4个常量。<br>
声明了一个枚举类型后,就可以用该枚举类型声明一个枚举变量,该枚举变量只能取值枚举类型中的常量。<br>
例如: Season x;
通过使用枚举名和“.”运算符获得枚举类型中的常量。
例如:x=Season.spring;
可以在一个Java源文件中只声明定义枚举类型,然后保存该源文件,然后单独编译这个源文件得到枚举类型的字节码文件,那么该字节码就可以被其他源文件中的类使用.<br>
枚举类型与for语句和switch语句
1.使用for语句,遍历枚举常量<br>
枚举类型可以用如下形式返回一个一维数组:<br>
枚举类型的名字.values();
该一维数组元素的值和该枚举类型中常量依次相对应。
例如, WeekDay a[]=WeekDay.values();<br>那么,a[0]至a[6]的值依次为:星期一,星期二,星期三,星期四,星期五,星期六,星期日。
2.switch语句中,使用枚举常量 <br>
JDK1.5后的版本,允许switch语句中表达式的值,是枚举类型的常量。
Java Enum 枚举特性,枚举特性与方法
toString() 方法
Enum覆载了toString方法,因此如果调用Color.Blue.toString()默认返回字符串”Blue”.
当创建完enum后,编译器会自动为你的enum添加toString() 方法
能够让你方便的显示enum实例的具体名字是什么
valueOf方法
Enum提供了一个valueOf方法
这个方法和toString方法是相对应的。
调用valueOf(“Blue”)将返回Color.Blue.
因此在自己重写toString方法时,就要注意到这一点,
一把来说应该相对应地重写valueOf方法。
values方法
这个方法使你能够方便的遍历所有的枚举值
1.遍历所有有枚举值. 知道了有values方法,我们可以轻车熟路地用ForEach循环来遍历了枚举值了。
for(Color c: Color.values()) <br>System.out.println(“find value:” + c);
ordinal()方法
编译器还会添加 ordinal()方法<br>
用来表示enum常量的声明顺序,以及values,方法显示顺序的值。
这个方法返回枚举值在枚举类种的顺序,这个顺序根据枚举值声明的顺序而定,这里Color.Red.ordinal()返回0。
使用举例
使用举例
其他方法
子主题
枚举类型的应用场景
以在背景中提到的类型安全为例,用枚举类型重写那段代码。
枚举类
转换类
[中文:春天,枚举常量:SPRING,数据:1]
[中文:夏天,枚举常量:SUMMER,数据:2]
[中文:秋天,枚举常量:AUTUMN,数据:3]
[中文:冬天,枚举常量:WINTER,数据:4]
为什么我要将域添加到枚举类型中呢?
目的是想将数据与它的常量关联起来。如1 代表春天,2 代表夏天。
什么时候应该使用枚举呢?
每当需要一组固定的常量时,如一周的天数、一年四季等。
或者是在编译前,就知道其包含的所有值的集合。
用法一:常量
public enum Color {<br>RED, GREEN, BLANK, YELLOW<br>}
用法二:switch<br>
JDK1.5后的版本,允许switch语句中表达式的值,是枚举类型的常量。
用法二:switch
用法三:向枚举中添加新方法
用法三:向枚举中添加新方法
用法四:覆盖枚举的方法
用法四:覆盖枚举的方法
用法五:实现接口
用法五:实现接口
用法六:使用接口组织枚举
用法六:使用接口组织枚举
枚举的实现与源码分析
要想看源码,首先得有一个类吧,那么枚举类型到底是什么类呢?是enum吗?
答案很明显不是,enum就和class一样,只是一个关键字,他并不是一个类,那么枚举是由什么类维护的呢
简单的写一个枚举
反编译后代码内容如下:
反编译后代码内容如下:
通过反编译后代码我们可以看到,
public final class T extends Enum,
该类是继承了Enum类的,
final关键字,这个类也是不能被继承的。
当使用enmu 来定义一个枚举类型时,编译器会自动创建一个final类型的类继承Enum 类,所以枚举类型不能被继承。
下面是一个枚举的例子
创建了一个Family的枚举类,
枚举的例子<br>
它具有4个值,由于枚举类型都是常量,所以都用大写字母 来表示。
通常定义常量方法
package com.csdn.myEnum;<br>public class Light {<br> public final static int RED =1; /* 红灯 */<br> public final static int GREEN =3; /* 绿灯 */<br> public final static int YELLOW =2; /* 黄灯 */<br>}
枚举类型定义常量方法
枚举类型的简单定义,方法如下,似乎没办法定义每个枚举类型的值。
public enum Light {<br> RED , GREEN , YELLOW ;<br>}<br>public enum Light {<br> RED (1), GREEN (3), YELLOW (2); // 利用构造函数传参<br> private int nCode ; // 定义私有变量<br> private Light( int _nCode) { // 构造函数,枚举类型只能为私有<br> this . nCode = _nCode;<br> } <br> public String toString() {<br> return String.valueOf ( this . nCode );<br> }<br>}
还有遍历问题。。switch也可以使用
那么enum创建出来了,该如何引用呢?
如何引用枚举?
枚举的静态导入包
enum可以进行静态导入包
静态导入包可以做到不用输入枚举类名.常量,可以直接使用常量
使用ennum和static关键字,可以做到静态导入包
静态导入包
上面代码导入的是Family中所有的常量,也可以单独指定常量。
枚举和普通类一样
定义常量
除了枚举中能够方便快捷的定义常量,
定义public static final xxx
日常开发使用的public static final xxx其实都可以用枚举来定义。
定义属性和方法
在枚举中也能够定义属性和方法
千万不要把它看作是异类, 它和万千的类一样。
举例使用
举例使用
和switch连用,构造一个小型的状态转换机
举例使用
是不是代码顿时觉得优雅整洁了些许呢?<br>
枚举神秘之处
在Java中,万事万物都是对象,enum虽然是个关键字,但是它却隐式的继承于Enum类。
Enum类
此类位于java.lang包下,可以.自动引用。
Enum类
此类的属性和方法都比较少。
这个类中没有values方法,values方法是使用枚举时,被编译器添加进来的static方法。可以使用反射来验证一下。
除此之外,enum还和Class类有交集,在Class类中有三个关于Enum的方法
getEnumConstants(): T[]<br>
获取enum常量
getEnumConstantsShared(): T[]
获取enum常量
isEnum(): boolean
判断是否是枚举类型的
两个关于枚举的工具类
除了 Enum外,还需要知道两个关于枚举的工具类<br>
<span lang="EN-US" style="font-size:12.0pt;font-family:<br>"Arial",sans-serif;mso-fareast-font-family:Arial;color:black;mso-ansi-language:<br>EN-US;mso-fareast-language:EN-US;mso-bidi-language:EN-US">EnumSet</span><br>
JDK1.5引入的
设计充分考虑到了速度因素,使用EnumSet可以作为Enum的替代者,因为它的效率比较高。
EnumMap
一种特殊的Map,它要求其中的key键值是来自一个enum。
因为EnumMap速度也很快,可以使用EnumMap作为key的快速查找。
内部类
是什么?
一种有用而且骚气的定义类的方式
内部类的定义非常简单:可以将一个类的定义放在另一个类的内部,这就是内部类。
内部类是一种非常有用的特性,定义在类内部的类,持有外部类的引用,但却对其他外部类不可见,看 起来就像是一种隐藏代码的机制,
就和《海贼王》弗兰奇将军似的,弗兰奇可以和弗兰奇将军进行通讯,但是外面的敌人却无法直接攻击到弗兰奇本体。
Java支持在一个类中声明另一个类,这样的类称作内部类,而包含内部类的类成为内部类的外嵌类。 <br>
Java类中<br>
可以定义变量和方法
可以定义类
<b><font color="#ff00ff">定义在类内部的类</font></b>就被称为内部类。
根据定义的方式不同,内部类分为四种
静态内部类<br>
定义在类内部的静态类
访问外部类所有的静态变量和方法,即使是private的也一样。
和一般类一致,可以定义静态变量、方法,构造方法等。
其它类使用静态内部类需要使用“外部类.静态内部类”方式,
如下所示:Out.Inner inner = new Out.Inner();inner.print();
Java集合类HashMap内部就有一个静态内部类Entry
Entry是HashMap存放元素的抽象
HashMap内部维护Entry数组用了存放元素,但是Entry对使用者是透明的。
像这种和外部类关系密切的,且不依赖外部类实例的,都可以使用静态内部类。
成员内部类
定义在类内部的非静态类
成员内部类不能定义静态方法和变量(final修饰的除外)
这是因为成员内部类是非静态的,类初始化时先初始化静态成员
如果允许成员内部类定义静态变量,那么成员内部类的静态变量初始化顺序是有歧义的。
局部内部类
定义在方法中的类,就是局部类。
如果一个类只在某个方法中使用,则可以考虑使用局部类。
匿名内部类
要继承一个父类或者实现一个接口、直接使用new来生成一个对象的引用
必须要继承一个父类或者实现一个接口,当然也仅能只继承一个父类或者实现一个接口。
同时它也是没有class关键字,这是因为匿名内部类是直接使用new来生成一个对象的引用。
创建内部类的方式
定义内部类非常简单,就是直接将一个类定义在外围类的里面
如下代码所示
创建内部类
在这段代码中,InnerClass就是OuterClass的一个内部类。
每个内部类都能独立地继承一个(接口的)实现,所以无论外围类是否已经继承了某个(接口的)实现,对于内部类都没有影响。
这 也是隐藏了内部实现细节。内部类拥有外部类的访问权。
定义内部类的方式
内部类,不仅仅能够定义在类的内部,还可以定义在方法和作用域内部,这种被称为局部内部类,
除此 之外,还有匿名内部类、内部类可以实现Java中的 多重继承。
・一个在方法中定义的类(局部内部类)<br>・一个定义在作用域内的类,这个作用域在方法的内部(成员内部类)<br>・一个实现了接口的匿名类(匿名内部类)<br>・一个匿名类,它扩展了非默认构造器的类<br>・一个匿名类,执行字段初始化操作<br>・一个匿名类,它通过实例初始化实现构造<br>
编译后的内部类
由于每个类都会产生一个.class文件,其中包含了如何创建该类型的对象的全部信息,
如何表示内部类的信息呢?
可以使用$来表示,比如OuterClass$lnnerClass.class。
匿名类
和子类有关的匿名类 <br>
Java允许直接使用一个类的子类的类体创建一个子类对象。
创建子类对象时,除了使用父类的构造方法外还有类体,此类体被认为是一个子类去掉类声明后的类体,称作匿名类。
假设Bank是类,那么下列代码就是用Bank的一个子类(匿名类)创建对象
new Bank () {<br> 匿名类的类体<br>}; <br>
匿名类的常用的方式是向方法的参数传值。<br>
void f(A a){ }<br>
和接口有关的匿名类
假设Computable是一个接口,那么,Java允许直接用接口名和一个类体创建一个匿名对象,<br>此类体被认为是实现了Computable接口的类去掉类声明后的类体,称作匿名类。<br>
new Computable() {<br> 实现接口的匿名类的类体<br>} ; //用实现了Computable接口的类(匿名类)创建对象: <br>
如果某个方法的参数是接口类型,那么可以使用接口名和类体组合创建一个匿名对象传递给方法的参数,对于<br>void f(ComPutable x) 其中的参数x是接口,那么在调用f时,可以向f的参数x传递一个匿名对象,
例如: <br>f(new ComPutable() {<br> 实现接口的匿名类的类体<br> }) <br>
常见问题
内部类可以引用它包含的类的成员吗?如果可以,有什么限制?<br>
一个内部类对象可以访问创建他的外部类对象的内容。<br>
内部类不是static的,那么它可以访问创建他的外部类对象的所有属性。
内部类是static的,那么它可以访问创建他的外部类对象的static属性。
数组<br>
数组是什么?
属于引用型变量
相同类型的变量,按顺序组成的一种复合数据类型
称这些相同类型的变量为数组的元素或单元
数组通过数组名加索引,来使用数组的元素。
创建数组,需经过两个步骤<br>
声明数组
声明数组包括
数组变量的名字(简称数组名)
数组类型
两种格式声明【一维数组】
数组的元素类型 数组名[];<br>
数组的元素类型 [] 数组名;
例如:float boy[];<br>
两种格式声明【二维数组】
数组的元素类型 数组名[][];<br>
数组的元素类型 [][] 数组名;<br>
例如:char cat[][];<br>
注:与C/C++不同,Java不允许在声明数组中的方括号内,指定数组元素的个数。<br>
若声明: int a[12]; 或 int [12] a; 将导致语法错误。
为数组分配变量
为数组分配元素【一维数组】<br>
声明数组后,还必须为它分配内存空间,即创建数组。<br>
为一维数组分配内存空间的格式如下:<br>
数组名字 = new 数组元素的类型[数组元素的个数];<br>
例如:float boy[]; //声明数组<br> boy= new float[4]; <br>
声明数组和创建数组可以一起完成
例如: float boy[]=new float[4]; <br>
数组的内存模型
数组的内存模型
为数组分配元素【二维数组】<br>
二维数组和一维数组一样,在声明之后必须用new运算符为数组分配内在空间。<br>
例如:int mytwo[][]; <br> mytwo = new int [3][4];<br>
声明数组和创建数组可以一起完成
例如: int mytwo[][] = new int[3][4]; <br>
上述创建的二维数组mytwo就是由3个长度为4的一维数组:mytwo[0]、mytwo[1]和mytwo[2]构成的。<br>
Java采用“数组的数组”来声明多维数组.<br>
构成二维数组的一维数组不必有相同的长度,在创建二维数组时,可以分别指定构成该二维数组的一维数组的长度
例如: int a[][]=new int[3][];
注:和C语言不同的是,Java允许使用int型变量的值,指定数组的元素的个数<br>
例如:<br> int size=30;<br> double number[]=new double[size];
数组元素的使用 <br>
一维数组,通过索引符,访问自己的元素,索引从0开始 。<br>
如boy[0],boy[1]等。
二维数组,通过索引符,访问自己的元素,索引从0开始。<br>
如a[0][1],a[1][2]等;
举例
比如,声明创建了一个二维数组a: int a[][] = new int[2][3];
那么第一个索引的变化范围为从0到1,第二个索引变化范围为从0到2。
length的使用<br>
数组元素的个数,称作数组的长度。<br>
对于一维数组,“数组名.length”的值,就是数组中元素的个数。
对于二维数组,“数组名.length”的值,是它含有的一维数组的个数。
例如
float a[] = new float[12];
a.length的值12;
int b[][] = new int[3][6];
b.length的值是3。
数组的初始化<br>
创建数组后,系统会给数组的每个元素一个默认值<br>
如,float型是0.0
在声明数组的同时,也可以给数组元素一个初始值<br>
如:float boy[] = { 21.3f,23.89f,2.0f,23f,778.98f};
也可以直接用若干个一维数组初始化一个二维数组,这些一维数组的长度不尽相同<br>
例如: int a[][]= {{1}, {1,1},{1,2,1}, {1,3,3,1},{1,4,6,4,1}}; <br>
数组的引用
数组属于引用型变量,因此,两个相同类型的数组,如果具有相同引用,它们就有完全相同元素。<br>
例如
对于int a[] = {1,2,3}, b[ ]= {4,5}; 数组变量a和b分别存放着引用0x35ce36和0x757aef。
数组a 、b的内存模型
如果使用了下列赋值语句(a和b的类型必须相同) a=b;
a = b 后的数组a、b的内存模型
那么,a中存放的引用和b的相同,这时系统将释放最初分配给数组a的元素,使得a的元素和b的元素相同。 <br>
a、b的内存模型变成如图7.2,7.3所示。
遍历数组
基于循环语句的遍历
语法格式如下:<br>
for(声明循环变量:数组的名字) {<br> … … <br>}<br>
其中,声明的循环变量的类型,必须和数组的类型相同。<br>
可以将这种形式的for语句中翻译成“对于循环变量依次取数组的每一个元素的值”。
使用toString()方法遍历数组<br>
让Arrays类调用toString()方法,可以得到参数指定的一维数组a的如下格式的字符串表示:[a[0],a[1] …a[a.length-1]]<br>
例如,对于数组: int []a = {1,2,3,4,5,6}; Arrays.toString(a)得到的字符串是 [1,2,3,4,5,6] <br>
public static String toString(int[] a)方法
复制数组
arraycopy方法 <br>
利用循环语句可以把一个数组的元素的值分别赋值给另一个数组中相应的元素。<br>
Java提供的更简练的数组之间的快速复制。<br>
System类调用方法<br>
public static void arraycopy(sourceArray, int index1, copyArray,int index2,int length)<br>
可以将数组sourceArray,从索引index1开始后的length个元素中的数据,复制到数组copyArray。
copyOf方法 <br>
Arrays类调用copyOf方法
public static double[] copyOf(double[] original, int newLength)
可以把参数original指定的数组中,
从索引0开始的newLength个元素,复制到一个新数组中,
并返回这个新数组,且该新数组的长度为newLength。
类似的方法还有:<br>
public static float[] copyOf(float[] original,int newLength)<br>public static int[] copyOf(int[] original,int newLength)<br>public static char[] copyOf(char[] original,int newLength)<br>
例如<br>
int [] a={100,200,300,400};<br>int [] b=Arrays.copyOf(a,5);
那么b[0]=100,b[1]=200,b[2]=300,b[3]=400,b[4]=0。
即b的长度为5,最后一个元素b[4]取默认值0。
copyOfRange()方法
把数组中部分元素的值,复制到另一个数组中
例如:<br>public static double[] copyOfRange(double[] original,int from,int to) <br>public static float[] copyOfRange(flaot[] original,int from,int to)<br>public static int[] copyOfRange(int[] original,int from,int to)<br>public static char[] copyOfRange(char[] original,int from,int to) <br>
排序与二分查找
Arrays类调用相应的方法,可以实现对数组的快速排序。<br>
public static void sort(double a[])
把参数a指定的double类型数组按升序排序。
public static void sort(double a[],int start,int end)
把参数a指定的double类型数组中索引star至end-1的元素的值按升序排序。
public static int binarySearch(double[] a, double number)
判断参数number指定的数值是否在参数a指定的数组中(二分法)。
如果number和数组a中某个元素的值相同,该方法返回(得到)该元素的索引,否则返回一个负数。
断言
断言的作用
断言语句,用于调试代码阶段。<br>
在调试代码阶段,让断言语句发挥作用,这样就可以发现一些致命的错误,
当程序正式运行时就可以关闭断言语句,但仍把断言语句保留在源代码中,如果以后应用程又需要调试,可以重新启用断言语句。
使用方法
使用关键字assert声明一条断言语句
断言语句有以下两种格式
assert booleanExpression;<br> assert booleanExpression:messageException;
使用java解释器直接运行应用程序时,默认地关闭断言语句,在调试程序时,可以使用-ea,启用断言语句,例如: java -ea mainClass
常用类
String、StringBuffer和StringBuilder
恒定的String对象
String类是什么?
常见,常用,常考
String 是Java 中一个比较基础的类,每一个开发人员都会经常接触到
Java 中最常用的一个数据类型了。<br>
面试中经常会考的知识点
字符串大家一定都不陌生,他是我们非常常用的一个类。
String表示的就是Java中的字符串
String类在java.lang包中。<br>
String 不是基本数据类型,是引用类型。
Java中最重要的类,提供了各种构造和管理字符串的操作;
用来定义字符串常量
String类用来创建一个字符串变量,字符串变量是对象。
日常开发用到的使用“”双引号包围的数都是字符串的实例。
典型的字符串的声明
上面你创建了一个名为abc的字符串,
两种创建字符串的方式,构造字符串对象的方式
常量对象(字面量)/字符串常量对象
用双引号括起的字符序列<br>
例如
"你好"、"12.97"、"boy"
String str = "Hollis";
字符串对象<br>
声明<br>
String s;
如何创建:直接new一个String
s=new String("we are students");
String str = new String("Hollis");
如何创建:赋值,用一个已创建的字符串创建另一个字符串
例如: String tom=String(s); <br>
引用字符串常量对象
string s1,s2;<br> s1 = "how are you";<br> s2 = "how are you";<br>
这样,s1,s2具有相同的引用,因而具有相同的实体。 <br>
s1,s2具有相同的引用
String字符串是恒定不可变的, 一旦创建出来就不会被修改
Immutable类
String类就是一个典型的Immutable类
它是Immutable类,即不可变,原生的保证了线程安全;
String类是典型的Immutable不可变类实现<br>
保证了线程安全性
一旦创建出来,就不会被修改
String字符串是恒定的, 一旦创建出来就不会被修改
String 是Java 中一个不可变的类,所以一旦被实例化就无法被修改。
一旦一个string 对象在内存(堆)中被创建出来,他就无法被修改。
如果你需要一个可修改的字符串,应该使用StringBuffer 或者StringBuilder。
不可变类的实例一旦创建,其成员变量的值就不能被修改
这样设计有很多好处
可缓存hashcode、
使用更加便利
使用更加安全
String是不可变的对象, 因此在每次对String 类型进行改变的时候,都会生成一个新的 String 对象,
然后将指针指向新的 String 对象,所以经常改变内容的字符串最好不要用 String ,
因为每次生成对象都会对系统性能产生影响,特别当内存中无引用对象多了以后, JVM 的 GC 就会开始工作,性能就会降低。
修改后会产生新的String对象
由于String的不可变性, 类似字符串拼接、字符串截取等操作都会产生新的String对象
所有对String字符串的修改都会构造出一个新的String对象
注意:String 类的所有方法都没有改变字符串本身的值,都是返回了一个新的对象。
否则会有大量时间浪费在垃圾回收上,因为每次试图修改都有新的string 对象被创建出来。
String的构造和各种操作都会产生一个新的String对象,需考虑内存和垃圾回收问题
String相关源码的声明
String源码的声明
String对象是由final修饰的<br>
String不仅仅它的类是final的, 它类里面的方法也是由final修饰的
图解字符串的不可变性
定义一个字符串<br>
String s = "abcd";
s 中保存了string 对象的引用。下面的箭头可以理解为“存储他的引用”。
使用变量来赋值变量
String s2 = s;
s2 保存了相同的引用值,因为他们代表同一个对象。
字符串连接
s = s.concat("ef");
s 中保存的是一个重新创建出来的string 对象的引用。
String的方法总览
String 有很多方法,有些方法比较常用,有些方法不太常用
public String substring(int startpoint):
对字符串进行截取
获得一个当前字符串的子串
public String substring(int beginIndex, int endIndex)
为简单起见,后文中用substring()代表substring(int beginIndex, int endIndex)方法。
substring() 的作用
substring(int start ,int end)<br>
substring(int beginIndex, int endIndex)方法
截取字符串并返回其[beginIndex,endIndex-1]范围内的内容。
举例
String tom = "我喜欢篮球";<br>String s = tom.substring(1,3);
那么s是:"喜欢"
输出内容:bc<br>
调用substring()时发生了什么?
因为x 是不可变的,当使用x.substring(1,3)对x 赋值时,它会指向一个全新的字符串
指向一个全新的字符串
然而,这个图不是完全正确的表示堆中发生的事情。
因为在jdk6 和jdk7 中,调用substring 时发生的事情并不一样。
注意:substring在不同版本的JDK 中的实现是不同的
了解他们的区别可以帮助你更好的使用他
JDK 6 中的substring,使用不当,字符数组一直在被引用,无法被回收会导致内存泄露的问题
String是通过字符数组实现的。
String类包含三个成员变量
char value[]
存储真正的字符数组
int offset
数组的第一个位置索引
int count
字符串中包含的字符个数
当调用substring 方法时,会创建一个新的string对象,但是这个string 的值仍然指向堆中的同一个字符数组。
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" alt="">
这两个对象中只有count 和offset 的值是不同的。
下面是证明上说观点的Java 源码中的关键代码
Java 源码中的关键代码
JDK 6 中的substring 导致的问题
如果你有一个很长很长的字符串,但是当你使用substring 进行切割时,你只需要很短的一段。
这可能导致性能问题,因为你需要的只是一小段字符序列,但是你却引用了整个字符串
(因为这个非常长的字符数组一直在被引用,所以无法被回收,就可能导致内存泄露)。
在JDK 6 中,一般用以下方式来解决该问题,原理其实就是生成一个新的字符串并引用他。
x = x.substring(x, y) + ""
关于JDK 6 中subString 的使用不当会导致内存泄露已经被官方记录在Java BugDatabase 中:
<img 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fh+gLv1KE3ZQ1x22aUsXJZl7dq1HNl/jGKmlbRfxnaLyCP97Njew9VXvQsha4RhSK2W5YlH7mfrli1EdgvL3vw2ctkUhq6y+dn13PvAIxhSMLutmdLAEcqvzeKUUw7w8XdfQv/QGA88+CAHCh5d4QhKKUqpRvb07OXTn/4MoSjx8EMP82LPQVpUjeamBgYHjjKtaw59fX1ccsU7cKQkjCJMcUJZC4WJwkBjEIQhDU4KGbg4hqJaK/Pyxhfps8rMmjkTYa/CNixsy2SwOMwrL79MKpXitKmd2Es7cUwHlXLwaiGibgWRUsQGBV1f+BmKE9aQkywPcVqOurFBI3S8pEZoQmHhS4dcVAAgpTwKIoerQ2zgyIHd/P6JJ9h2tEJTY57lpkkUhZhWGqEjgihEh7EL7qS6fpIbZECarB4EoEobkQxQMiQTFJCksaRDGQ/Xddn68ku4Vp4LL7yQdCYVu3xaVuyuWJ//k5a1SQuRBRKUBtMQHNy/n7vveQzbtvncjZ/HypgYE5Zf00IIiaEEvueyZ3cPRuTT2dkMSmJM6jHipHW5Rk24ylEGGSe4iLCQokpKeBhYaGETGA4WsRw379zGaE3hex5nLJ9G//7drH3gXvLT5tPW0oidMnD8ApEWhDKDZRQAB5SDricB0YYPKhuXhUbLenIQ5YCITdpOVMWVGQLDwaknQgHw6q6DDUGJitFY74rBhG+cEPIkC2W9LDixCSA4aS7999CYCGEhDA+hQ4SOJjdxpLCYUHAMoTBkXWESCl9YhNIhF5bxRYpInniEpqIKtXr7U1GBaDLhRwbkScqaECDqrpFSAz4Tiq6SEkfFCtW42UgqLE3WH5hxYp1sWMQXNr40kSo6SQYnKVWT1jRZd4WMX7PqSpEnHSxVw1EevswiDIOUmcIrjrBz80by89JctNrGTtmEgfsHyVbq2L3dsVPYZohAsW9fDy/tOEquIUs4czpmLoupFULboPWkC2pCQkJCQkLC63mD3CDru9J1NyCh5ORrlmlQ8z08z8MMQxrSDlIaRFGEVhoVAUrFFgalSKczrF69mtbaIZ5Y/zRBEFCpVHniySeYN38ere0eYRgCgnKpjGVZPLr2CV7csI1sNksYwvvf/2e0t7Whazqut+42dMKNyuDgwYMMDQ0zd+5crrrqavbu3cP6pzdw7Ogx9u8/Qm7KMV5+eSMpYyZvectb6Ojo5K57vsfw0DBPrlvHrAWXsXvXLkSYoqu7i7MXzmH9ml+xc9cuxsfHcd1LcZWLaZocHzjOc889R3t7OwVXxe5CIRSHjvPiiy+Rb8zT1trKxeeexfaXnuep/QNs2LCBD152Hvfddx99fX00L1jKp655LwcPHuQ3z77M0f5+CoUCGTPkyJFeprRM4ZzumXR2tvPIIw9SrVbZunUr573lrTiN+djVSYq6ahSP2YSaJKTEsk28WoiK4vhB0zAxpEQaBlpFVLwKKTtFpDWGaaKURkURYRDiBR6hEcYufTK20k0sriddw/T/6dpwsrI24Vk34fQV1yNOzC8Ru2pFUbzQrlYqlMtlUimHy6+4gtNOPZWWpgZKhXEasmlMAUHg178vJ+s4YUU5qe66+6YQEsOQREHs1qVE7PqZyWQItUUumwOtCYIQKUTdsqZf15OJvkkh0VqhlcY0QRoSVXclVUqBYSG1jl3tJt0zJbZp8fnPf45asR0nrTAMQRSdiNeaVHSFfJ1sJu8//XrZCTkh2/j94eFhjvb38453vIOZs7rYsjFFX18fAwPHacqmsdMptNYorTBNM1aeJgZ0YjxPcrF7nSY1MYgydhsU9fkw4Wb4H58XJ88PJvsiT8hRnJDpifv35Pnz32NyPp38M9n8/zA3xYnxk3UZT8wN8bp+yNd9VomTZHOypUvIk1wVT3blfP31Th7D18npdWP5f9fvkzXZE9cWnHyd+kaKEIRRgGEZGIZBGIaTbrZuzcWy/jDZGpYZu84KgVIK27KxbRvHcXBSDqZpEihVfw7Xuy/+sGskJCQkJCT8qfCGKGuyviMuVf23VOj6H2OlIWUZWJZJ1snie1Vq5SIl30dVqtg2UFU40qJaKrNo1gxWrl5Gq9vJm847jy1bt/Krn/+U44MjrHnkcW742KVoBMMjw2RSjTy59nGeePwxLHMKzc3NvOe976W5tQ0v1IjIxTItbMtCKU0QRBhGnChg+/Zd2FaKiy66KHZxbJ3KJZdcgmVbLOqezwOPrSGKIhYsXMCFF55HqVTg7LPP4rGHXmVwYJBjx47h+S6drVO54cMfQNZK1Ib2smPNBsZGi+zde4DOU1vxygV+de+j5BuzeF6VIHQIwxRSQLk2yuDIADLbxqf+6jM0OiHe+GFePR4xNjbKi8+tZ+/BAximwbJlq+g7th8zpVl51ioyF2TIOFn27H6OcrXG1OnLuPKaqzG0x/bNL7Dz0ADDYyMcHx2nsakFYaWwdA1Ta9atW8f2/X00Te3g2ve9j7QQhEGJTMpCG1ANParlIsWUT6Hioi0HW0dkMjaGX8Zz4+MJgiBEEPHb3/6WTQfHGTg+gu9GTDM95qxYxQXvuoa2pjTVcpknn1zHK5u2cuzYMXL5FpYsW87ixYtZcdoKUikLz/UAhUZhmQY6Uqx5fC3rXtqBM7ILIQSndDUxbdXVnHH6crbt3s5zjz5ArVyiZMxk3VPrkUJz1orTyGTieEFTgmFIHn3kYV55dROu6+IGIZ2dXcyePZsLr7iW0d5XeHjNGga9N/Hnn/gzmjsaIajw7z+/h2I1zVlXrWLOnDlUx0Ypygbuve9e9u7rYWx0iMbGPO9777UsW7YUIQSbN2/mqd/9nuGhEWrVGq2tLZxxxhksPucydu7u59WHHsKrVLCl4PZbf8Cn3n8FhfECv3j+AKsWdTI6OkrP9h4WL5lFoTxAWOlixRmLOetNS7nrrrsYOH6cro7l9A0+y7FjR8mlZ7HolHO56t1X0WgH7D/cz9NPP83AUJXew5uZ0ZVh9tzTOXasQjbTyac+eRme59GzczeB1cjylRfRZRXxxgZpMBS/vO8BvvKlG2NLq6UIiAgNyNmw9dVdPPP7new9+DKGYWKmqyxbdCmLFs7h1DMWMTJ+iPXr17Nvu8FYaQDXH6c7V6Nx7gquvuGv0GHIz++8k3K5zIXv/x90dbUhaxX+5da7CIKAVWet5rzzz+DlV15l+/ZX2NOzF7dao7W1i6lTWvnw9R9BGgHVapEnnniEA4cGGRqKjzvo7u6mu7ublStXYhgGa9euZd++fRw7dowoikin08xffBrvePe1pDMGoeeSbUhRrVbRwLonn2Hb9j3kcjmi6ji9e7aRzzeSb2pi1tKzWfvCFmb5B6iZDZx67iVcdtllZDMpCkf6ufelV9i3bx9h76uYuUZmzZrFBedfwtJlizh8+DD33vtLwhA6pnWxa/d2wtCnqamB01esolAs8sKmF2kLh2hpaWHxOz/NZafNoVIqsXXrVn71/E6q1SpNQy9jNnfQtfh0zj97Jd3dC7j33nvYt38v+YYGGpsa2bWrh3K5zIyuWaAtrrjiCpYsWUJQC/nFT3/KvmozFyydzdtXL0dmWzCUga98guIQZlhhrOKTkgoMeHXrVp5++mn6+/tRStHR0UF3dzcXX3wxjuMwPDzMk08+ycGDBxkfH0fjk0lnWDH3dC58/1UYtoHv1yiWQOkQDMlzz7/ASzt2YBYzvPkt53DqaQtfp6gCaK0TJS4hISEh4U+eNyhm7USgPoDQcjKxRMoyCVSEUBFIhWUIhAoohwFGFGGYgLSoFsp4VRcv9ONcFLZJUPVYdc4qnn34IQrFLLv27CPkUvwgxPd8RFDhibVr8Wo1ZCbi0ssuY/mK+URWSK1WoyljY9sOtWqVcqnG1LYOxkZHqVZq9PX1E4UhP/u3X+D5HkKAF2imtk5l5VfOZ+7ceaxcuYrOttMIAsXUqc3s2rUbpSIqlfisr0JhFEtIhodgZrugUhtiypQ2CoUCnhsRugW+/Z1vMlCYxS03fY577rmHTTuPkLINwhBGxo8zXhrnrRe8A8NyUMEIp5+xmB/+ejuNTVPp792PklCplLn77geZKTbiui5hegnLli3jnFXn8tLh3YyNjXPlORdjZ9IEpTLnvmkFG3fej2malKpVQg1h3RVPas3endvY3tOH0zTIFde8n4wNCI0UCkuEmEREgYdnaNxAx2duGbFtylIuwyPD5LI5am6NY8cG+e1vf8u4aOHMM1Zy6rLTeexnP+DJdeuwps6k7fxudvf08MjDj9PY0sr8+QsplFweefhxXnrxFWrv9XjrW89HqYCUEyc98fwSd//sF/zm6a00zjudZfPnks1k2LfhMX6zo8hFF72V85bPJ2tpRsujVBvmIKwUtm2hUXXDhsYPfKrVKo8//hg11+MjH/kwVT/kR7f/mN7eXhpmLmemt4+e7S8wJGbSPzBOfsYUDF3l4J7dHOoXLH7naeiUgapVGHE9Nm58mVmzu6hWihQKBW699Va+evM/4TgOX/va12hvm8ZHP3IDpmly7733ct+v72fajiNcd911uLUq0zraGRwcZNHihTipFCUZx04e2vpcHOcYahYvnknvoUOMHi8wZ24HzU1T2L51O67r0ru/zJxFgvnz5rFj61GeemYDHTPmcsEKg9t+9O/0Hz2Kq/KcuXQGU/M17r/vPqzMDDpmCiKvRlircfTwUVKd59IwtYEphkNbQ5oj48MMjBap1ALsjAnSA5mCFAwNHeHOO3/K4X0+cxam6e6ex8H+V3ni8fVseH4TN3Z8lO/f/jX6+vsx/TfxrmsuQ8kKT93+JazRiDnnHOYtMwTDx/vZv38fZ1ytMFIgPc2unr0EQcCMjrkcPtzOD75/K6YVsvLsN3HBBRfyi5/dy85dO/nWt27hy1++iUcf/Q3rn34KP3CYMWMGlmXx9NNPs2PHDpqbmymVSjz88MNIKbnggguYMWMGDz/8ML/97e+ZNmMpK5a0MX1aI6XyKLmGJsIwJAo1e3cfYGx8jFPmd2Jbmn17ttE8pZ1tvaO42U6mNtjsODbG2nW/I980hYveegEvr3+Sn63Zx5w5czi/ex6v7T/Ak+seozAG3QtnYdkGO3dvoSHbzpHDo0xtb+DosUFcf5T77j1OLpcjMzXD8dd6GOwVDE27gMvPmo/WEf9+913s09Molkp8ZuVcfrdpD8eris0vvMqXv/wPDAyMsHfPfjKZDNVamcGBAVauXIkfeBw+uI8HH6zR1fUZ+vftZv0zzzKQW86qJbMhZRCoOBurbWdoMAKi4iBuqEhbmoH+fn5y50/RQDqdZmp7G4d7j3Ck/ygPPvQwd/z4Dr5xy7cojI8zvauLj3/yL+jZsYUNGzbw7NNPs+St5zBt2jSC0KdSCYlUyP79B/jVr35N1TA4fe5qzjz7VKIofJ3lcMKyN5lIJyEhISEh4U+UN8ayNvFHd8Ll5iRXsCgKsCwTQxq4xTGctEWxWEQpReh7hCFQD1APoxApJaaAWq1KY66RsZERWqa0MLi/jzmzZyMQ8aHThiTwQwrlETpntHLw0CA/vuMOTll2EekWyKQzKLdAuRTHgORyOXQUYRoG6UwaFSny+TyjY2PYlglC47qKsbExNm7cxOWXvY3B4SHymRaiAL773R+xefMmpret4G1vexvNzc1Yts3oyCivvvoq3hyHJ594kr2jzbS0tFCpVHh542v09Oym49SzaJ8zJ3YHCgIqZci1Q6lcwnEcypUKacdCqBRBEFCtVrEsi/Hx2OUznc4wWnKx8hYqUowWi2zevJkDB2Krm9aafD6P1nHa7DCMqNVqOI6DNJ1J90GUDxhks1kqlQpmLo7N0dQV7eiEe1IQBIRWhOfFY2SlLISEQCka83k8z48zLaYEfX39BA2S9rY2zj3ndDrMj3LvE88wc+ZMgjDke9/7HoEn+Myff4iFixYyMDTGF7/0D9RqNZ544gnOWXV23W3KwncrFItFdu7cSSrl8Pa3v52rlzWSbWri7nCIfTsDNlNczHwAACAASURBVG/exAffeRFNF13ED37wAzzb44q3v52Vpy3CQBN4NWzTJHCrlMslyuUyzVOm0N29kGy+kUMHexkdHaWlpYXaAZeU49Ccbpo8goK626NlhfVsoRG+H6C1wfnnn891113D7t3bueWWW9AqwPM8pJCk7DgOKZ1Oc/qZZzI0NMRLGzcye/lyFi2cQea91/Hlb/+IKIq4+uqr6Zhq09fXh2VZFIYLXHvttVx9xTsw7ZAdu16hUilTrVQYGhwgm8tRKBQ4ZdECvvDFawjDkJu/civ9IyZPPvkkZy99K/sPHGB6ZyflIMtffvozUD1IyW1g687jOI6DZZkMDBSJlMJOxW3VUYRlWURRvMERRlEcaycEWoNSUC6X6T/az+w5Z/PJv7iS7u5unn3xIX76ww2Mj48zPDTMeKFANptlWsds3va2i8nkBVHPOh7b0s/U1qnY2RrVahybhRAUy9AaRbGCapm0tjah0aQzacDFTqXo7u7mS3/3JX5yx09oa2tDSskzzzzL8PAwH73hs1x66aXUajX++q//mpGREbZs2cKiRYtQSuG6Lg0NDVx88cXk83keemw98+bNJZ2O8IKQtJOmVIyzqx49epSaW2PBggV8+q8+gqoNcNtttzE4OMa0mR184ev/SGdhH5/8n/9AuVxmZHQEtxayadMmWlpms2rVKq6/qJv9R4/ykzvvZMvmzZTKZUwzdg/s7e3lK1++hVNP6+aXv7yTzVtf5GjvOGeceQbXf+pDPPzdCq9t3UqhWGTo6FEefPBBRkZGaO1eyl13fpOp5R7an9vCv/78NwhX09vbi6hnVRwfH+eMM07j4//6PaSQ3H//A/Ts3suRviPk8w08unkzURSRyWSY1d1dj7GMbdiynizF89zYLTcM6enpoVQqc+aZZ/KFL9xIsVjk8zfeyNjoGKZlMjoyQrFQoKmpicWLF7No0SK653axe/duSn2lE1lJtcZxHO677z6e0b3UDJML3/5OPvD2DyJEEGejTaxoCQkJCQkJ/4k3xrI2mWDkRCzQZMp2KUErSuUyzfkG0AHtU1vx+8aJwojAB4SJiDRECj8K8DU4pkQYcfa0sFpjvFBCSxPDtDAsC8/zKY+OkclpBgeOg3DwgoAtW1+mc34b82bNpvfIIb76T1+jVCoTBBrHzvGWi97C6nPPRykYHBphRlcn3/rOt/jhD3/AK69uo+bWOHSoF8k8prZOpTDi8vd/dzO9vb1kG9O0tk7lqquuwE4XaGrMsrtvJ7feehvTm0vY4TiNjXOolKuMDI9z1y+/QVNTExdfdAHeaIFCoYzWisb8hNwiSpUSrVPbsSyIfI2dAgObWtkn8KocGxygva2d1avfylc++QnGR0b45Od+TKlY4cD+gwwM9iGkQaUSUaqWaclYGAR4voc0JCEiDpsRoD0fRMSHP3ED7/9YAzqdohInIKyHumgsIiSxIl3GI1CgDYEhBZ4bggjZt28fCxZ0M3PGTHw/oKmpkREluOfee7n/1w9x5erTeN/7rqN1/myKh3dRKhVJWS08/9xLbNy4ibFClWrVQyvNgQMH8AOPTCYL+Cg8PL/AoYP7yS9YyeLTFpLNlADF4sXzKb66Ba0U0jTJ2gIZefjawLBshIDAj2PULMtCOSlSqRQpx+bA/v384z9+mcaWKVxzzXtZftpyilYDx/tDKuNH6R0eQgkLYQBBCa9aIXAtlCnxUWjfxUzlOO+81YCuL1QXs23rJgAq1QqmZVEoFLj55puxLIs/+8AHufFvbiLK5QgCCKKQtG3hBxrHsSEMqZTLeJ7P3PkLuOLt76S1pZlydZix0VF01Epz0xRamlo5cvgIWsPChd2knDSqUmb+vLls3LGJ6dNTCK9KKpXm2PFBzr/sz2huTWGH7Vxw3nm8sOluqqHElAIThQ4loczjA5GnsHWIqlWomAFBpOqZ8T20SBMZsH3HFlqaW1i44BQWzJ9LEHisPvds2vNvpVqtsWBJI9/9l2+C1lSHlvPMMy/yu2cfwdr9AnZmHkeOD3NGo4EOfUKvRiQtAgDt4foBlUqF4eECp63IIaXJ0aMDrP/9el7c8BKrVp7PlVe+ixldM3C9KpEKaGpuZMOGDRw7dgzf9xkfHyefz+O6LlprRkZGmDZtGvfffz/3338/F154ITfc8H5a2hvxSmNkMinGhgdpaWlDqYjmpinoSJB2cnR2dGBri3JplCjw6ZzexXgFOisFFi/sZs+GHoRhIUyTY4f3U22axabtu1lb3cVoFNB35CBKdVAul/BcF9ctMnvWIs468xSCSJNyDHr2bMMSc7jq3deSSjmceeoiNjy9jiASTO2cRnF8FNOUXHf9RzlWhqlhhWVnnIZ7x7/TZE1hcGCMwIcohFrN55xzV9M6ZQqu59E1oxPPKyNkxK6ebTz9/Aa8UFGTGaZ0TINgFJEDFcSbNHZUQbhFtAbtFti3YxORUqx/+mkam5qQhmR8vIAwDMrlCgNDQ9zyrW+TyWYYHh7hNw88yJaXnqVSqVIsFFAqpCXfQKlcwPNNisUCqaiAyDfytsuvwLKgXNHksidi6U62piUKXEJCQkLCnzpvbIKRk86sUnVl7YUXXuCB+39NrVbjG3//BXKNOYYGBylXKjQ3OXECOBUfrOx7PkprIgUNmQaKhXFc12X37l1kslPJ5xupui61Wg3f98nlcnz2czfQf2w3P/nZg1QqFe6+52H+6Z//morvYdsWURTR0TkNtxpRqwbMmjmLGTNmoDVYpsXffulLCAQfu+FjvPrq/6BULGFZFuVqmf0H9vO979zD8GAJ0zT58z+/jnPPvhylIVQhn/rLv+SZp37HGCtIc5DyoMWmAymKxRKu59PUmCcMfL75jZ9wp9iCYRiUAoPrP/xFBPCNm07H8z2e+v163vWOS7CVx8jIEFGo8DyfKS3N5PPjHD12lPedPh8kNLZO4frrr+fb3/4O5VKZJUsW8eBTT9CzZy+rli8ljKocO9qPXz/XS+gQIcH3ISsl6AhME+1poigkUBbypEQgceZ5jed5eATUXA+Nqh+oLAlLJZqam+ntPczg4CBd563mk5/+DC9u7+PQgSP07D7Ao48+xl2P/I4r/uwGLjmzi3Q6Q60c0Nd/lGwmgxdqzj/vfIrFIqYVn/MWnxtXi3NTGHGGxdGxMbJxQjz8UgmNwvW8ONFJFMXtDzyqrksQhpPnwAWeSxAEmKbJlClT+NCHrufw4V62bNnCocOHuPnmr2LbNtf+1dc5I21jSI3nhUhBrETksoyPjFKtNKDqZ62FQUBkxvFPhmHguh5jo6O4nktfXx8rV67kK1/5CuvXP8OhA4c4eOAgt912Gz//xV3MWXEen/70J/BrVbRWeK5HtVKBfI7W1imUymXOvuxS8vk8oQpJOfF5V67rMjY2hud7pDMZKuUKvudRLZdIZzKEoY+QBqmUQ82tEkYR0jDw/IDAC7DNWI5KacYKJRCCTDpNqVhGhxrbBhka6CikUiriZwO01hhSQP1sNlNC+7Q2BgcHaDlvSnz2oGHghQEtLQ6NjQ1Uq+Pccfu/8MILG5DVNzO7u535S2ZzvEdQKhZpa5+GHxwlDHwMKam5Hg05UINBfLB4GJGyLaZMaeXGz/81W197mX179vLKK6/wyCOPsPbxtSw95RT+/u+/wMDx42Qb4jMLh4aGADjnnHMIgoCZM2dy7rnnctNNN9HX18f27dvZvHkzTzzxBA888gxvf/f1fOQDF+L7NZqaGlFaobSmWq3h+yGe66EiBTmHrq7pbNm8C6U1mTQQZeOzIA2DIAjjg+gNwVihyNRqjQMH+ikbghWnr8BU8yiXSrRPm0akQkrlMoEPVa/M9K7ppBwbmwwjI2NMmdWEaQhMCdUwQgU+vu/jex5j40UWdbdCYBOWXQzTxHN9hND4XkCxWMIybebPm48f+FiWwdKlixESlAq5++5fUCiVyWQbWHru+eQaAM886VAV0GFA6NUIggBhSgqjI1RrNbq6uhgYHCSKIpadeupkfJlhmPzojjt47tlnSafTnHnmWcycOZOnfv978pkGxsbGiOoW/sL4OE7awfJMitUat932Iz79gc/R3GwgxMnHDsTECYr+wPPzEhISEhIS/n/GG+oGOWFhE0pOvqaVYtvW1/B8jzVr1vDB913LkSO9FMsuM/N50g4QCnzPw/filN+RgoHxQQYP9fOtb91C7VAvQWszb7v8cvLpfKz0lEu440Oc/aYz8IN5pDKd3PrDWzl06DCf/5svcNttt9HV1cUdd/yIlOOglQXajK0y0iLf2MjBA/t56MEH+dCHP8TBgwc5fvx4fSHusnXbVm688UbymQWsPuctfO5zn0MYYzhWCoCde/fwuc9+hiULF/C//vnvkN4xvnLTGg4fLtLc1MQpS5ZSODAXy7KYYZyNGCty6PAhNJpZM2eDEEyb1kYQBPT09LBt2x6WL8rzs5//lEq5Ddu2WLVyJT9bt5HOzk62bdvDlWfMQqmI73//BziOw9Fjx1i5fAZ+4PPQQ49w+YVtzMjbPPCb+wl8BwE0T+2Iz+U1QEaAFPS89CK7jrtYTZ2ce/Gb0B4nktTVhzIKQ0IjomfPHnbu2s+KUxdipyQ7N7+KEPFButOnT2ffnr3cefvt0DyHm796M7WKZmjXy3zplu+zbt063nvJ5zh+/Dhpu42/+cJNNDRkUcCvH3iE6dO76OhsrbsPBoDCsgy0jrAtkyODQxw+BrNzRTLNTRzetRPXCxDSJIoibNOgVilTNCpIwySMFAiN46QwBBRGxxkeHub+X/+ad199NR/9+McYHy9y5buvolar0d9/iO7mcXyvipAm/cdHWEgHUe8hhocGEeSpujXKtSoqDKlWqzzzzDO85z1XUS6X2LV7NyryyOfz9Pb28rWvfY03nb2Sr3/jG4wMDXHvfb/m57+4i3E2EwSChnSafXv3Mm/ePEzTAN9nYGAg3uQQkkzaISoXEUachTGTyaKVJvADUnaK3pFePC8gk2sAVLyoD0I8P6Ahk0ZKg+PHj/P4k+t431Vnk3f3873vfZ9q1SGjBeiIUrGAjsAP4iyUQmuEVugoxE45WCkLwzRAx4djh0ClUkJIyQ9/eDsf+NhqAt/jte1b+NJnb0ZrzSc+825+99RvyTfkWbp8BX/3lRsIDPj6k99HKcXA0BB2q4MUgnKpyNFjxzlreQfl0RFGRkYxDINCocThw4e5/fY7GB7p49u33MIX/9cXOdI7wCc/8QmOHDnCyMgI2VyO/v5DfOITX+DNb34zAGvXrmV0dJQFCxawZs0aHn/8cSzL4utf/zq2bfPSSy/xj//7B2zZupXaNefQkBUYpkGt5uGkUrHCGIRUKjUMy0JXyqRSFlpFeJ6PFwEpCwFUay5aCCpVF0MKtJbc8PFPcPmMKirj8NRTTzFwJMOppy6jt7cXpWJXYq3BcTKxC7fUVEoV0uk0UkpSpoFWIVXXQwUBWiv8wOfhxx7nrJV/CVqx/8B+ioUCKV+htYlhmHiej9bUD4oPsa00nZ2dLF26hBdeeIFarULkhghpcNW1K5GiBCqi5kImNbGxpuL4VN+HbJqpU5oAOOuss/j4xz6K63ps2fIaO3ftJApD0PDMM89gmRYf+/jHueSSS/BLI+zauYsjO44wo6sLL/ApFov4gc3V11zNRy5fzp9/6tM89vjjlPoU3/7W3/ynvyET1rXEspaQkJCQ8KfOG6KsORMHnNZjIJRx4uDYdNoh1Aqk5LFnX+bB3z1Psehim1lazYAWN4BsM0fsHFWpePGn32TDnd/A0wa+iBWjsGE65y2bxooFTaRIxWfK6gCZjvBCg0x2Bpdc3MYvfn4XqCEG9lR59O67ufbqD4JWSCRKKqSM8IOAUFVYvHQW23dt5IWXnmW8NMbvf7+edDqOX1m8tIt/vvlbmExHRREvbXyWD39kE6VyaTIW7F//9V/JZmfzyuY+vvu1f6SzayZbDqZx0hDqKuecu5RLL/x1LITaONjv5Jt/9/c8uHE/d3/1g+SyacojQyyaNZ9D+/dyyxc/yeoLLmRvX5qqt4988zTaVlzOomkP0H+kn+d+813ubfs4jz7yKIXaIKZh8N4PvIspTc3k0z/GHX2eL/7la3QvOpUBdwbFoV66u2ewsDlFWBkln07jWxaGzHPnI+vZ+OIWGhtbeNub/x0sRRjaBHYngR+Q71hGtWE+8zjGUGGIr/z9Z5k5cybFYpHR0VFc12XWzJmc0u4wMjLCpp4hpk0zeOC+X3HFFVfw+Isv4wdVOqwa+aZOVp9/GS++9CwfuP4a/vZv/5atm3fw8MOPIaXknFXncOaKUwmDkIZ8C2HgM2fOmUyfOhv/0CH+7S8up+Gzn6WxsYnb1+1jCooZTTNobMrzu3IjffnFtIhBMlGRBjuOCQy8AMNxiLAYK9bYva+X2+/4GZ1dc6lUKjTkGqlWq+RrvYx1XMGRaAdZZxcvPvYj2q138Z3v3IHONDM83MMMv4ElqQ6OmFksGXHnj2+lfWoj3//+9ymOj9Pc3MysmfMYHh5md88+hkfGWXXualpbWzk+NobINiAqA6RVgZ6qYGZHK5XxIe74/nf58Mf+gopoIB+VGB2vEgGpjE21qnFradxogFDUEIZFzQ1wMjk8NQS6CZRCmAJbjmLJPNkZq5HBd3BEDae2g//5iQ8TKU3Ri8BOk3H6GHKm4HbkMG0P5+BvaOp7C8HU6TxXaOBo01KisQNMbXQwbINitZOsbeO4RbrnXoHiUVpnVPnUpz7Dddddx9q1W0g1DBFFEVNaGmiyT6U8UqbX+h3V8ju555572G/NRwVVZjLAmDeXERop2VO563//DzqCG9mwYQM5IyAIqphmBa9WZNvWV5BS8m8//QU33XQTPXt24gU1qm4ZaTrMm38qY+M+X/3qVxFC0N/fz9q1a9m9ezef//zn2bhxI8VinPxlzZo1XH755WzYsIFIFWhuDaiGIRnZSCWCICiTSjdgC58Uw7Rm/y/2zjveiuJs/N+tZ0+5jQteqiCoKBEE1GBiiR00EhtYYlAwanwTE/OaN2pIjMHeor8Ye4/GkmABu4kasWuK3WABROlcuO20LTPz+2PPnnsuoFETFMx8+RzO3j27e3ZmZ57zPPM880wLyu/CyPajq9Oi7PbCLLezhSUpiwF0RBa93QCx+kP6uCGNY79F78ce48qfHE7qf/+X+fPnc/XVVzNgwAAO/86eKGVT7PJwzBA3E4csmmRRYR/aOj7EdsuklckCazhzwyFsLxfTGVh8+7sn8pcXjqPzubu57+ICwYQJzLx7DnWWS5FVjN5uKG/NfQGhigSRjx+USXv9KstzWEyefAR//esrdLQXKLqbcMiEQ/hKGkLfQTZuSq9iG3ZkYprwYXYkc9VQxhjLWRHZfO3o73Hjw0/xwOx76VjdytixY7n88sspFApYlsXoUdsggjIWkmWLP6StdQWzZ89mycrVtFtlzLKPJyRBahTZ8En6OJ2kGlrYbtvtiV58kffnP8dbb77O1ltvTRAEZDKZ6gBZdc6oRqPRaDT/xayfOWsfw1ZbbcW0adN4+OGHWbBgAblcjiiKqG/Ksdeee+LYJvnOThoaGgjDOFmDU1mXJzJNBgwYwK577sOUyQeQzWYpFosIESfQqK+vRwhBa2srvXr14vrrr+f73/8+URRx3XXXMWTTrdlpp+0pFgWupxAixMAg7aWZMGFfli1bzquvvs77Cz9ACkVDfTPfO+EEttxyS8rlMlLE67/l8110dXUilSLwfZqammhsaODII4/kmmuu4i9PPIHjZZBYHHzIJA48cCKOZVCuhE05KRfVuZp0JoNpQEd7B1IIGhsbOOLwI/jNJRexcmUrDz70ELbjsddeezJx/4k01KX59SWXcOedd3LfQw9y5ZVXUiwUaG7ZhEmTJpPJZHAdl2OPPZbf/r/fUCgUePHFF+jo8jni20dw6KGHAJDJZGIjM+URhiGNjY2EUYRlmYQhYMYhk7Ztx0lKXJcLL7yQ2bNn89prr7FgwQLee+89fN+nrq6OyZMns9tuuzF06FD69OnDlClTuP/++7nzzju54YYbSKfTDBo0iB//+MdYlsXJJ5/Mxb/2eeH5vzL9Z9OxbY/ezS2MGzeOKVO+TSadomRQTTogpOCc88/nvPPP49nnnuO88y9ASomybPbff3+OOPxw0p5HY30DIowo+XF4HVBZFywenW9oaGD48OHsuuuuPProo5x00klIKclkMgwfPpy9996b3r17M27cOObMmcPrr7/Oa6+9xqhRo3jvvfdoampCKUVnZydKKYQQjB07ll/96lc4jkMul2PKlCnV40444QTuv/9+fvrTn2LbNu2FMl/92s4cuP8EGhsaGTJ4MJu0tDB/3nz++te/MmHiQbT07Ut7WxsD+venUIpwUyaGaVIslRBCxAl3bJvVbauJogjHdYjCsLp0Qj6fp76+DhRce/31zLrnXt6f/zaFUpnmPr3JNrdw7/0PYhjgAE2NKXK5HItbV9PV1YXyOlmwYD6+H7D11luTLBlumRYYBm4qxcCBAzn22GO55pprePPNNznzzDMRQrDDDjuw4447Mm7cOLbffnuefPJJFi5cyHe+8x0aGxtpaGhgxYoVfPjhh4wZM4bdd9+d66+/Htd1OeOMMxg1ahRCCMIwJJPJsPnmmzN16lT+/Oc/M2fOHB588EEymQyDBg3i6KOPprGxkUmTJtHR0cEbb7zB9OnT43T7QnDwwQez2267MX78eK6++mqeeeYZbr75Zn73u99RKpUYPnJbJh18ME0N9XGAtpLU19dRKpURUlAsFlm5qhUnk8UvlcA0aG9vx7ZjkZnMg2xvb6eurg7btvnmN7/JihUreO211zjnnHMoFov069eP7373uwghqKurIwxDXNcln8+TyWQQIs4m29DQQEdHB4ZhEEVxZsRkmYFMJsOUKVO44YYbmDVrFs888wxtbW3svPPO7Lb7LvTu3YcoipBCYRoK27IrHjsLDNhi8y3ZYvPNmTt3Ll5TE/vuuzdBBJblEoRBnGwIiZQCISSmZSGFJOWm8Hp5HH/88Vx++eXMmjWLRx99FIDdd9+d8ePHM2zYMPbYYw+eeOIJbrvtNm666Sa23HJLPM8jlUrxj3/8gwEDBlTWwozrzTRNJk6cyJNPPokQglmzZrHZZpvR0NBAqVSK55WmUgRBUK1vjUaj0Wj+WzHUesiNLOXa8w8SkjkIYRgSBEFFyQzxGvvgORCFgjDfFmcDTLvx5CrTBDuFMOORVgG4QKFQqGY2TBZzjaIIz/MIgjg7oWEY8aLOtg3SwrKhWJSYZoRlx3Oa2tpbaWxoxDAMVrauolz2aWrsRdqrw7INokgQ+CGZrIdfDrDseBFj1409hm1tnTQ1xdkX21avQhg2yoB0tgHXNSiWFZ5j4FY8jpYsgSloW7SI9KZfwTFg5crV9O3dACIO/yt2duBHEkybdGOf2Ij1JQ1OsnIvLFz0IXV1dQhiBauhrgELkEJgmRZRqUx7Z4nemzSBAcVihMInm3UQUpDPF0h79biuCwqCQKGkQSoNvu9XlDgoFouk02l8368q0/l8njAM6du3L4VCgd69e/d49kEQkM/naWxsrIRliaqxmslkKPt5XDfNog8/JJdtwDBsmprq8AOJkoKU5xCGZQxDxSPspQBcl7bly8mXSrS0tOCks4RK4tg2naUSQoGX9rAMAxFGZJzY2JQyXnjctu0ec2DK5TJBECuriWGYKIfFYpHFixezxRZbAFSM9Dx1dXVAnBHRcRwKhQJNTU2sWrWKhoaG6jUKhQLZbJaurq7KfDpBfVMTHcWIplycedFSghUfLmCTgQPJd7Rjuxm8TJZAGigrTskjCh2kMznAoFTwUUpiYJPOpqr1XSx04jgOjmtRkh6mAZEfsNduO5HNZvnK1ltwwUUXYVoWM+97iKuuv4lpx53AXvtNpL7OYtYl5/GHe+6jX79+TDn+RH51/kUEQcAZZ57JnrvvFOd0FREmEtsCiI2NXC5HZ2cnixYtYsCAAZUMk048z62SmTCVSrFq1Sr69++PaZpEUVSt4zAM6ezsJJVKVTMl+pXBD4AVK1awySabAPHC3XGfc8nlctVMqlJKUqkUpVKJfD4f13N9PZlMHGJoWVZlnp5k5cqV9OnTB6UUyjQRRpyjVikoFko05uIJkZFfxnErRoKIqgt/K8OtGltU5E82m0VKiWma1T4TBAFLliyhT58+1SyNqVSK1tZWmpubq9fo6uqqtqdSqUQ6na7WTxAEKKVIpeIFyYMgqNbfkiVL6NevH/l8HsuCXr2aY6PLTZHPd5HJZDBNK05q4vu0d3TwwxNPpFQqccBRJ3LstEMJA3ANhQgK1GcdROhjOQ5gEomIAAvT8mLZUvKrcnbp0qU0NzdXDUwhRDxwohTt7e306xd79FzXRUrJihUr6Nu3L0IIrJoIC4C33nqLESNGkM/nq3M/k76SlP3jfks0Go1Go9mY+aTzsj93Y01KSRiGpNOxYpQYa3YmgxKSMAjJebGiJMoFLM+Lj/MjDDeDaUIggaCMaZq4rltVDoSI54NkMplqRjgpZdVDVCpIgtCnsTFDJAS2bVQULRBSVDwwBlLE57S3F6ivq0OhsCyTjo4uMmkPx3Uolfy4Ag2DlOtWr2cYcTKVIBJxGn0gnjqlSJmVORjlLnBjBbAjSFPnWURCYasAIWJvCUJQWXQOXxigFKZjQdmPw4R8nwhJXa4u/g4lMA2Lrs4O0qk0KddlxbJl1Df2xkvZBKHEME0cR7F69QqyuRwp10UpK74nZaBkPEctkhGykpwjGeEHqspWqVTCcRxs2+6hoCbPIvE6hGEYJ2epKPbJIrdBEGBZYFmx8a2UgRAK2zLw/QjbNrFsk1KpiOs6SCmQQUgqk6k8H0FnZydOyiObzbJw4UIGDByEYZkoBUIqDCkqc4hUVclNOcGNOQAAIABJREFU7qtYLGJZVrWd1rZF0zSrhkZjY2NVcUyU7trjEi9BomyWy2Vs2yaVStHe3k42m62GcnV0dODl6jEtAwvo7CrQkHExVETk+1ipFIblxtkrHY+2rhKNDRkcBH7ZJ+WlUaI78UsYCKIwwnZNHCf2eokwQDkplIJyocjkgw5kxcqVNDfVMWbsdjT26sV9D/+ZfNnnt1ddy/BttqU+DU/PvI1rbryZQqHIwYdP4ZqbbqGhsZE/zJxJY302nnoaRVgmICMUdrU+EoPD9318P56vVyqVehjwSUhbUk8QG/OJgh4bHVb1s3K5jOd51fYTtxcLy7IIgqDq0U2eX3J8YpQlgwNRFJFKpVi2bFm81lcYVj3whWIRoWxy2djwMoBSsVQx3BXFQp5sLocUIeVikUwmQ6S6y62UqrapUqlUrYOVK1cycODAqrxra2sjl8tVjco4cU7cV5L2kiRHqpWPybGJ/Er62erVq2loaKgxfOKkKLIyGJF47IIwxEuluPCii7j33nupy+Voa2/nd3c/wpBBvZECXBOioEwmFc9JREYEUuE6LiEWgZA4loOqfHfSj2tJ+kay9EXyrJOsjsl9CiGqfT8Jd0yM9uSZJZ60KIqqXkVtrGk0Go3my8oXaqx93CVrR6ZLpVJlXSWHQghKRGQ8G1NV5ryJgKBcxrYtDDeDMuPMZYlnLVEUkh97iH/4oyiqfkcURdUReRFW7B/A9wNSnk2xWCST8fADvxLyl6KSHg2z4snL54vkchkAisUy6XScrIPYhoozJkoASRSFlIKIVDqDYRkEIbhOrAyqipJGWAQVgGlRUFlStklXV56mujQyDDCUwHAcgiDCdVNI0yYIIpRpkbaM7jo2DYSUBFGI56ZoXb2KPr2aKZfKpBwH04hz9AdhvL5dOu0QigAhArxUiiAMEMLAtixQLlSM0iAsVzMy1irAYRhWFeDk70QxTtZTSpQuIQSe51WNpUKhQCaTqSq3tm1gmhaWZSOEjNfdKwdxCnsgDCOEihXOYrFAJp1BRBGWHVdmuVQi5WW6lff6espBRMq1KZZ80p6LqhiZtUphksUuiiJ83yebzVbTu2ez2WpIbZ8+cWhZYiAkHtqkTdl20nYy1eOSeuqorDsFVI2ZQqGA6XjYroUF+EGEo0JsGyqjBWC5iChCGDaGbRFJMIMCqZRHV1eelJvGsi2iQJBKu9U+JUWIadtIGSEMhwULFjNsyABefO5Zzpwxg86O1UgliaRCmA677z2Bc849EwEsX1XE6/iAo4+axuq21QwcuhWhYTNlyhQmTT4QISRKGRgiwEvFHhjT6ml0JAp5FEU9jHSAxYsX07dv37W8KsnzSPptqVTCsixc1+3xbGqPbW1trXraEm9vEuKaPFshRLX+E2PBMAw6OzurIddRFOF6GUrlkGzGoVDwyWVThEFYaS8mJjI2TuorxokQKDP2ZibfWSvnEmMk8fD7vo/nedU6aWtrI5vNVv9OvNZKxZlWbdumVCqRzWarXrRYBnV77BKjEGDZsmW0tLSgkERhhOs6lX4TVkN/S6USN954I9dccw2e57HnXntx+rnnUwog68ZlMlG4lkSKCNMyKfvxdwvDQZoWftmnIeX18E4n7b1QKFBfX18dsLBtG8/z6OrqIp1OV/tdrTc1IWkjpVKpWifJQIlVWWeztu9qNBqNRvNl45Mm0frcjTXoqdgkYXWm62GgCAMf1zZRUmKbBoZlAQopDZQZj2grw8SUouoxSRTBxHhLlHGlFEqp6ui8Y6cQUmJbVhxOZiZKnqpk4CNZDa5yj92KQq1RmMxXqh3td10X3/dj71IUYZoWpmUiVMWgUwpTVZQdv4BtKoSQ+FYG1zQJwgDXMjBQWLaNiiJUJStgKGOvViSBwMfLpKvhR0KIeL0uL11NKZ8oro7tIGVsgPlBRCplE0UhUeST8lIoqTAMu2JAp4hCiVVZyy6py8R7kBgjiZctXpw7XX2WSR0lCl0Sfpgca9t2NXTNqjzTKIoXYJYyNta6vZtU6zd+N5GKOLW6kJgVw6k2tCoIAqyKcWoaRuzpdOzqPSVesCSkLJVKxYtXm2ZlEWhR9WLULgReq/An5UlC9pRSFArdWfySukq+J1FCq23HdoikwrUMIiGxDUXkF3G8NEqIeJ/jIpSBNOLrpawkhXnioYjDPhWq6r1I2rptW8hKUh+kxJCSjo4OVq1awYeLFiEiwYAhQ9l0yGD8UJHOeYShosH0mTdvQXwPho3AZMiQIbieGz8jyyL0y6RSLiIKMc24XyTlTOqiti8k70kbSrxR8a11G83J+Un4pKgsyh1FUXWgoFaYJZ6jRNF3HKdqINUaKrXtKJVK9RhYiO8vxLFiw9KoeGDdlFPT9mIvkGEZ1faKtKoyJTGmkn6StBfXdXvUSdK2RM3AQVJG3/erbWtNr2BiFCX1mpyjlKqWs9YIStp5cmzSZxcvXkypVMIwjDgc0U1jWSaWARYSlMIxVTywYUAYVeonkigjNp6IRPf80cp3JHWQzDErl8s9DPfaOkjaSXJvyb5kwCd5ZrV9JulrOnW/RqPRaL6sfKHG2mcJXZGGCUphEKePhmTlnxiFgaSiIBkGpvqs4TFGzXty/doqkPHfBqDW9gZ8UhQGqtb6U93lij2H8XdGpotReQRm5btrToE1ym2opG7WLtGaJUnOj2fmJPUVp7PvPig5O0klUXvs+qS2/lljO/m8e1sYaq29plr3dnI19cn6wOeGwqg8w+7nvWYbB5CYsaEOmErxaepJJqtm1JxnxKZdZcus1k3ylFPSJ175GiRWtb3VPqLKWZ+t4BsghjIwVNI/K0ZkTb/o3lbVdmTJjd9wCJPlVBQVCaUqsjRpfRWvYeWJd+/RaDQajUbzn+STDkhu/NrHf5rEXvlPXMpY9/a/df1Pc3/rPG7Nnf/BAn9ObHx3/Pmx7rpZd219VD0axhpt9z9yZxsX1br5sq7zZdS8fVQRdUfTaDQajeYLZ4PxrH0uGJKq9rGW10zVHJN4ET6lLatgfWs3yeC+obq9SWs6yhLPiTK6R9DXcaMV1nG/n4tLqqZujW5PY83OHs9oXbdk1HhXEy9B9fjEs7mRo2q9XFTqqYcr1QCs5GAMQ6zjIj38kTXXrlzaCOm+qFFz/JrvCRto//4U1Noh6/Kvr7u9rd97+mx8OhklzBrPfKUp1ZZrXU9843/aGo1Go9FseHxSz9p6mb39SWMwP3cMSQ/lpofylYREmcShgp/pC6hVAXuGJ3b/pYxus8L8jLayURNhWVsOo1bnBjCSULt1K+zrDrH7HByutbdUE4pWs6PHLVUVyh4eylr3j+phqqGS8M+Nm2qZjHXuXcvzYxiJah0HFPc8ORmo6Hk5YZg9j0i8LrWDAD2/5ZPc+gaOWqtM63Z+92xjGztWbXCjUfOuKgHT1SJ2l3VDFecajUaj0fw38N9lrAE9la91fZwYXJ9BMavVdNc4/aPq5D9SVx9zidhk+ThP2pr+Bb4A7WydD+KjP6oe8jHxW9XnuHFjrPXXx8xZM2pNjjVicNfVBBJDeN1n9firx/4Nun9/Vj6iTD3qbQMs96cUU2sb3Ws8+2rbqHn2G2CxNRqNRqP5b2EDyouchCgaPfYkmGsd+1m8PzVJEv6lPfZvaiiJt2hN713Pu2DNstR+tra58VnKvWZiiDWvqj7iuA2MfxG5WdtWVJI4YX3f06dm7fDaj2/ja+/9ZN+RbK1pyLHOR6xqOoOxxiesY++XgTjYuaf326z9a12xkV+CajB7tA/4UhRKo9FoNJovMetlztrHUZvqWqPRaDQajUaj0Wg06+Zz96wl6xTVroWU7NdoNBqNRqPRaDSaLztf6Dpr/4o1FzxNFoPVaDQajUaj0Wg0Gk3M5+5ZKxQKlMtllFJYVpxyPIoibHsDmj6n0Wg0Go1Go9FoNOuJpqamT3TcFzJnTQiBYRhVY02j0Wg0Go1Go9FoND353N1ZURRhGAZKqWo4pE44otFoNBqNRqPRaP5b2KDnrNWSfL022DQajUaj0Wg0Go2mmy98opg20jQajUaj0Wg0Go1mbXQKRo1Go9FoNBqNRqPZANHGmkaj0Wg0Go1Go9FsgGhjTaPRaDQajUaj0Wg2QLSxptFoNBqNRqPRaDQbINpY02g0Go1Go9FoNJoNEG2saTQajUaj0Wg0Gs0GiDbWNBqNRqPRaDQajWYDRBtrGo1Go9FoNBqNRrMBoo01jUaj0Wg0Go1Go9kA0caaRqPRaDQajUaj0WyAaGNNo9FoNBqNRqPRaDZAtLGm0Wg0Go1Go9FoNBsg2ljTaDQajUaj0Wg0mg0QbaxpNBqNRqPRaDQazQaINtY0Go1Go9FoNBqNZgNEG2sajUaj0Wg0Go1GswGijTWNRqPRaDQajUaj2QBZT8aarLy6UTUv1vpErrV3fSA/5QvCyqv7/tYuR3J0CIj1XAKNRvNFESGQoYCiQCApomgHCCovYHXlRdAtPZBFOoAOALGYsuyMz4taiWSRMlTFiARU9V+tNBJAVPNKri5qXmvLXeDjhO86SA7sKQk1Gs1GQE1fj3uxRCJQRKhERtR076pYCAVdQBdAOaANaAMIQgIhKPS4+KdEALIMtCMjEFIgCJEESIJYnLEqfkUfU6Da715jd0iAECCqKlilBGHtqUtAdVW2I1AVgZtI7QhgZfyKAPLx6zMUed3UytV1XfTT6M2y8hvxUddY93U0Gy/as6bRaDQajUaj0Wg0GyD2+rns2jag8ZHHGh/76RfL2vdlqI/6eEMuh0aj+XdRWCgDMLtHKY3qf4AC2+j+oFsamDUS0cZI/jYswOghNYya8c91SJ913JX1r2/8U4klLcM0mo0aY+3NtXq1seZ+o1tGGVaPbaMqo/4d2VARnFWBaazh6bE+/kb/xe6e2pekqoP2OM5BGSaKNTVUa+1tg7WO+vf5Vzrip9GbzY/4bN33rKX6xs96MtY2TD59g/1IUfcpj9FoNBs7BmAYVH/PTSoCtPr7qEjVqCDdJpqJU72Ih2nY8XmGg5EoRlXl6aOCVdaUL59U3qwZAPNJFRAtzzSajRmjGm63xgizwdoxcYaJnUzjMCycmm3DUFi1BtBnIpaWRsVeUTWGizLBwP2M140LYlGRzckuoyJxa+wjiYfCrhhrJt0jak73LSb3YSRXRYtCzQaBDoPUaDQajUaj0Wg0mg2Q9eJZS6Y2dvuc1jG6Qzy6kuz9PKzGTztAIit31R0GsDaqWhZTB0JqNF9iTMCoGZC1Kvu6o2hqPGtmjUwz7O5xYyODlYSwmF5NSOTHfWty9bX56LDs2rNqD1ozYYiWWhrNl4aP7MpG9SUhDueGiscMMEwc/HjbzODGaY/AyGJWEhxJ3M8mLQwqgtOpeL+6dSZIPGte5buhKqPUR2iFRq3HUFa+wqq5MQNUrYescjnSKMyKNDRrPqs91qvZdvj3kDU38NEaZCKfu/XN2giLngJe1bwbVQ265/7uo2vP+jw1bc36YL08uXXmolESlERF3el5wkgShCHlQOL7saBQam2VRFRS/OTzeQCCIOjxHkXdKYTCMOxxHSklpVKpui2l7HFc9Z6lRAhBEASUy+VKOQxWd3bG56g4vZISUWVboWR3KYu+XzXcNBrNlw8jEAgpCSuGmAwCXMBHxrkZIwnCBGEgpITKSyoDUwpMKegqA1JhK0GITSgkFoIIWNXZQalQiGVLRT4tW7YMACEkXfli9Wc3khBKkFIhpCSKBL7vo5RCKVWVeWAiVXy+UiBkkt1W4vtlQFXlqBCCKIplml8OQEEh739OtavRaP5doigClWR9lKgg7sdR2QcFxWKxqp8VAkVQKsbHAYRdmPgECmzKmLKLAJAIkCUiEetVxWIR6NahEhkl5ZoDQRXCSkZF6SApIVQImAhZ0dFUhFJm/AJAEQV+JVtjvCcKBEoqQj8AFFIESOEDIX65E6EsQlGmHBSIjTWboKjAiOjsbCfW5myiKMSopJyUMgIk5ZJCSZtiuROUTbEgwYhoby8ghFnVDZMyKqUoFOL8mMn+pC6SOvB9Hym7dd3OjjyqIrz9skBJCAMBKMKwWsuxWSwkQTmWzcgIVakLWdFzO7vy8TNUikJHG1EQoFT8+/ORuSAr+rdm4+VzN7PDKKSzvYPQD3BsE8MwcV2TVCoFJI08NrCCICCfz2NZFqVSiVwuhxAC27bxfR/XjUdEDMMgDEOKxSKO46CUIooihBAopUin0wRBgGEYVYPNcZzq9wVBgGmaKKWwbRvP8yiVShSKBRrrGzBNk67OLtrb2jBMC1BE5TJREFL2y0Qiwkt5n3dVajSazxHDtjAqykOxVCQZrTQxCWWEYXQP1kjZcxkPv1CAKCKTdggrH5XKAVJEyMqPaEN9A15FDhqWRTFfoG/fvvF3mCa5XAaAla3tSCmxTDAtA8syMS2LVCqFYRgEQUA6nQZiJcI0YoXDMAws00JIARhYlkW5XMZ1XcrlMpZlYRqV0d3Kezab+g/XokajWV+YpgmGgV8q4xeLYJoExSJ2KsWq1lZc10UBQoLnGrherLcoBabjgoiwLIjCMqbpxPsNsE0bpeIB9kRXE0IghKBv376xEVhjrIVhiFIqNmZsGyUE+Y52TMOkWDF0LNOgWCrHdpyK7ym5Gdt1wTAIw9hAsV0LwzRw3CRGwagajSkvHRtUUayH+eV4gMlNO/ilEvX19QCUSgGm0Z1MpFSKB+UtK95nWzZCQCbjEkURjY11WFZcTsuyKBaLmGYsS7PZbI+yJrI/iiKUUqRSKUzTYmVrKwD1DTmklJTLUfUYwzRiPTcM8INydahfKoXrxXUshaw6HkzbIt/VRX1drlIDkHJT2K5DEPg4diyz8/nyp2s0mo2C9WKsrbUyhupeX+L+e+/hoAMPYOedvs6wLYYzbsed2P6rO7HtttsydepUPM/DNE3S6TSu61Y7RaJ81BpdiYFmGAaO4+C6cSfL5/M4joNlWdWRD8OIgxlFGNLV0Um5VAYVN3bXcZFCoKTENEw62ztIe2kymWxFsCnq6utobGpERgEoie25OCmXMJJYVjxptVTWo9AazZeVU7//P4wbN5btdhzDuLFjOebIKVx96WUEQEEGSMsCaYA08Q2L004+iR3HjGLp8tWk0g6Yko4ymKYg7GhFuS6Wa2MaAgkEKiIKQ8r5PJf/5jece845AKxYtpxFi5dW76O5dyOGZZIvRhSLnZTLBYKgQCQChAhxXbd7NFgZoAwKeR8lTUCxaNEHSBlh2xaelwJU5R1ME+bOfRfXtRFrrXmk0Wg2ZKKKNyeVckhlMsgo4sH77mPMNiP51sQD2HHc15h06LfJF4txChElQUQIEyAAFVAGbAceuuc2xozbj2ee+wcQYdkGUkaxQQjYtl010DKZDLbdPavGMIx4cMiywIyY+p3v8P68RUCJICyxePFS/FCSTnvkS6tY9GEHXV0QSQFSgJJEYRAPqisISxGdqzvjiytFFPrk6jK88Pwcdvr69rz21jwcz0EQYVrxOX4BUhkDiOhqb8UUFo4piMI2lIJs1iOMiogoDkuPZB4ZQb4LbFvil+JoKtuODbRMJkMQBFXjLgzDeCC/q6ta9qROoihCqoi6XJZk0TslwXVtstkU5XKAgUHKS5H2PFKuy4rWjqrhilJEQYBpgunaFNpWoUREOpNlZevqOJRVCWzPxS8WkSJec61QisjmvI/UvzUbL+tlztq6om2pjA4MGTKEiRP3x/M8lrcXePChRznsiG9jBHk222wzlFLVkMjE+xUEAa7rVkeMfd8nnU4ThiGWZVU7h+u6CCHIZrPVkMZUKlX1pIkwIuWlsW2H2267jauvuoptRo7EdRw6Ojsp5PPstddefPe4YxFhSGiZWJaFZYCSEikFlhnHOgflEpgW2WyGMBJQVXw0Gs2XkYxtMXyLYXxj4r6IjhIrPlzK7bfeyh3P/plbb7oV17VxDRcVRsi0zU677Mzmw4aSyXqoUoFIKZy6NEKAl80igVAqHCOiGJQqo7EmTiZL35YWxm63A6ViiTAKmTbtWO6dPQvLslCGhWkapNM2ruFVlQYhooo8FJimTRgGuI5DoRBw1FHTEEIyaHAjYNDauorBg4dw9lnnYJo2qVSKfL7ANVdfx5/+9CdmzryH+nqPKIoVN41Gs+FjWxZRGGCZJoYyePCBBzj/vPOZMH4CI8eMYXlrG3fcO5tzLriYM844nbSpKJUKGGkPR4VgmYQRiKBAU30OXygs1yVehBlc16VYLJJOp7Ftm1KpVDVUkhBs0zSrA+VSShwzYq999qL/gP5Eosz555/LoEFb8/0Tf4AQ8Ic/3MENVz3K448/AIaiXCrjZdIoBVEQYVomjmtjObFHSYYBjmsjopBSMU/glyiUykRITAwMywQJlg2hX6Rc7OK+++7jsT/9Daw89U0mO339YA6ZtD/PP/8s993zPAs/+IBM42rGjDiAE06YRqmc56orbuapp56isZfNJpv058gjj2TLLbfk5Zdf5rzzzmPAgAEopRg4cCAnnngitm1jmmbVUPX9Mn/72yv87uab6eoMyGRyjBmzHdOmHcOTc57kjtt/TzprEUUBpgXCbOKCCy6gd2MWkJhGbByXOjq48847uGvWA/Tq08KATYdw6LePZJsth3H3H3/P3bMfZPDQzVnV3sWgoZtzyk9/gm2tW//WM3U2Xj7H1P1xYxkzdgxbbzMKL+WxcNkq5jz9LD888Xhalyzh8ssvZ+eddyaXy5FOp3nwwQd5/vnnOf3007n00kvp378/t9xyC57nMX36dMaMGUMqlaJUKnH33Xczc+ZMyuUy06dPZ9dddyWdTvPqq6/y+uuvM378eBrrG7AAy7aRQjBmzBiuuOIKMAyiKOKumTM55ZRTOGTSJBrq67HdDILY/VgqFjCAdCZNZ2sr9b17Iyp++yAMcexPsN6RRqPZaGnIptm6aXMOOuRA+lhZwObpx/7C+8uW8/b781g89322aRpEoVBgxi1XM3WvnXj7n29hWg6GK1n2xhuceduN/O2xuzhu8j4M3O0w9hq3OfPmzeXy39/F4YcfwZ/vuJN33p3HhPHj+ec//8nS5St57PHHKJd9vv/9H3HIIYfw+F+e5IgjJrPDDmMpBwVmz5pNqVTmgAMO5rnnnqNXUx++9rWdkFIRRfFAdakU8L8//iHj99sZy7To7OritNN+xooVyxk8eChBEPCLX/yC5559gXQ6g5QhxaJDJqPlmkazsRCJME5jb1kgFW2rV9OyySZMPfpoho8aRSTAyOR49c03MWyDP/7+dv7+97/zkzN+i+f5vPLSS/zprV6cMnUw7atWYNkuzz3zLP93wsGI9GZMP/WnHDhxP1avXs3s2bPZZJNNuOWWW3jttdc46qijOOCAA5g+fTptbW3MmDGDHXfcEceIaF2+kqWLVnLLH2/gmWeeZostS5x11nmMnzCBWfffjev24Tvf+R8uuuQnDB+6GffMnMklv76MbUdtx3HHHcfw4SPw0i6LFy7ijj/czKxZMzn8iEkUyx0USwUiafHu++/xxptvMHzgDmyz+eYIAYYb8torr3LB+edy600PMmJ0fy6/4jwuuugiRo/Zml+ecTojt9qHm268kdb2fzDpwJ8xauQY6nq3cvvtd3LppZcydoctOOjAScyZM4ennnqKV155hUmTJnHooYcihKBUKuF53dNgOjs7qa+vRyH55emnM2rbbbnwgnNYvbqN/fc/kMGDhzBh/N7su+94bFvQ1r6KPfb4Bj/8v7PI1eVqliBQmJbJPXffxQ3XX8cV197I1iNHc8jkw/n2kUfzxj+e4+qrruL7PzqZbx54MK7n0ZYPWLcq+lFLwmg2FtZrGOTaexSmZZHJZjEdG8M0UQraOn1aWlp45JFHePPNN6shj08++SRvvfUWxWKRO+64g5kzZ7Jo0SLmz5/P9773PW644QYA5syZw7nnnsuiRYtYvHgx5513HjNnzgTgT3/6E5dffjnvvfdeDze9iARtbW3xRPyKsdbY2MiIESMwDYMrr7ySe+9/ECnjbJB/+EPccQlD6ns3c/Thh/G1Hcfx28uv4KabbuL1N+fGCQY0Gs2XEiPwSbs29ekMWBaFtjY828ZJe4QoFi1dxv/95FRmzDibjpLP/Hnv8teXXmDpspXMfe4Zjp12NM++8FeUgntn/pETTvwRc+ctoldjAzPvuoujjj6KB+6/n7pclueee5auri4effRRXn3lVYrFEu/Nm8fqtnaeevoZnn/xZcoBeK7NAw/OplDsZN68d7jo4gt46KEHCQOBbdk4jkEq5SKFQUeHj2WaCBlRX1ePl/ZYtnwZoFiyZCnPPvscZ511NqtWrSKbzZLJWPh6+oNGs9FgWRaWYwMK5ZexMXj3nXf4yck/4Zk5T9PV1cWxxx3D5Zf9mnIAr736Cs8+8zSptAGuTaGznb+/+jqYkgEtfbBSaX73u1tACbx0hjPPPJPW1lZ69erFSy+9xIwZM3j33XcZMGAA999/P0ceeSRtbW20tbVx9tlns2TJEogCXn3lFRZ9sJhHHn2QdNrl2aef4Z57ZvHPf87lw0Xv09jYh8WLl9HWvprjjjmGs846iyiKeP75Fzj9F6dz+223USqX+PnPf84NN1xPEAbcdfdMbr/99/Rt6YPhOPzz3bc5fcaveOwvc3BS4GUglXL464vP0auhjm22HoFj2kw5YhKuG0dBRSJgjz32wbZh8OCB9Os7gNtuu5P21a00NjSxyy7bkU57zJgxgzAMaW9vx/d9Bg8eXK3zXC5HEAR0dHRU56sBlMtl2js6mDBhAr16NTB48GBGbjOKhx96GMcxK0aVYta99zBux69y5Lcn4TrxnDWUrKyHJ1kwfz7Nzc1su+22uK7DcccdR0NDA4WuPJl0moEDB1ZDU+tyLl1F8ZH6t2bjZT151pLJ9WbNe7Lqq0QpgQijONmPMKmp+8FVAAAgAElEQVTPpUCFHLj/eC67cAY77rwrUgleeOVtLvvVz2hMeWQdj0nfOYYDD9iXtuULmXbEd7nj5lvZdcev89Cs+9h79z2ZfvovKPtlJh96KBf8+mK2G7cDO3z9a7jZLC2DB2LIiDwmkSloJM2CJcu55uZbKQRl0qHkL7MeoM/2w8jUZen84ENUXX+EgMAoMfetJSxYsIAVrUs5YOJEph0zjZ/+/Ezu+8ssbrr5Jnw7w8ith6+f6tRoNF84hVI7Lz7/DsvOv5Lm5W/wzuIOPiiW2XGPCXx15Ha898gDtOea+d73pnD4oeO5+tTvITqWYaTSnHzKKTiexwmnnsjUfUez6M/3MvWyh3nikYc4Yr+dyW6yJUpJrr74DMaMHMj5p5zK4qLJtVf/hsUfLuKoqcdw08OPkcsYGK3vMOeFx3B/8F3e/6CNhR+s5rLfHo9tGRx40GRGjRyF5RhIJYgiyOdDLNvkgw/e5/HH5+C6Lm+99U8+eH8Rm246BCEkV155JXfecTuW7VBfnyMIA0zLw03FqaE1Gs3GgBVnoJUCM+Wy34ETKRQ7WbBwEaef/nMCoUj37sdR047hoIP2pT7sIltuowtoKKygj7+adrMOzBxt7QGquJjTTvs/Jh+2P12rO/jRj6bz6/93M+ecPo0BfdIwck8uue5UyvkyP973YEb/8kwO3GcP5j/wB44//yqWFQOGYtFV7KLviK154N57+PnPLma/A7/KD394HFEEmeBtpv/maZ566nE65j/BG28vZMdd9mHGjDN5f/77/Pzn07n2xusYtNlAnn52Dkd+exLTf3Ea+a42rrzyMmbfN5tQCLbaYiT/c9wPGTdqO6QSKAws5XL0tOM49oQTUY5kRXsXP/vFxWRydQR+AVkqsNu+uxJY4ER5Nt92e9597z2WffAe3zx4Mp1lRdaN6N27N7Zts3DhQpYuXcpf/vIXhg8fzvz589lmm204+eSTqaurqyZyUkrR3lmiOa34+ugtWSUhY5TYpr/D08sCilERr1ykkOrFE0/9jWuvvBxLRXS2ddLQ2EAQ+LipFDIQvPTya0z45gEIw0ZGgq/vtDOdnWcwb9488oU8F154AVttsy3Pvvg3dt97X04++aQvuhFq1gPryVhLPEy1xlpl24gwTIOoHGCZLq6bwy9DOmMyZuRwHpt9K08+9xye5+HWtTBmzFgQEbay+NYhE5HAwAG9GdSnL6tWrcLvzLNiyTI+WPQhB0ycSNEvk6nLUQrK/OO1V5k48UBGjtuOtJ2GUp582sHCIpVXpOob2Xv/b1E2Jf2lQ31bwJkv/ZHXF7xNNgxZtryI5QBKsro1YvCmI3nxpef4ysjhTJp8IE19tqDP1nU89PgsQpw4bZJGo/lSkq3zcDONDBuxKyP7Fdl+j+H8bKdv0atXJs7M1bmIEXtPZJ+jDqDJL9K/zqbe9OkqCwqBz5jRY9h34m7kV73HiG+MZcfnl2OKCEsKVLYfQzcbyrajt4X2l2kIlzHPqIOgSNqS9G2uQ2UMVkqY9v1DuXGH8XR2Fpk1+y8MGTKSXF0jpgE//OHJKAKCsEzKcVEY2LaJbZk8/tiTLF76LpZl4XkeZ511Lv36DuCaa65h4MCBDNt8GAsXLqShsQ7fL5LNevh+UB0p1mg0Gzbd2Q7jtchkUOb4448lEArcNM8+9yKXXX8r1157AxO+uS9G22L6uoKSC3Suwlz6HkF2d6K2gEGDhkN5CZsP3xxpZOndq8TIEV/hzflFTKPIqqXv8pXNj8Y0Q1L1sI3n0jh6B1Zls2xilkj17kubMMAUeLkMH+a72FZEGIHArWukK4C0C3UixG2sJ9sLFj3yOm0FyTMvvcY++x2IQcjqVavp3auO9q52+g3oyy7f2AXP8/Ay/fnGLnvwxJ+fRJmCoUO+wgnHDccIIpQsIyKBlU4jZBdNDc0sW97KkVOmsfOuu3HtjdNZ+M4r1KVs2srQ3AxWGPD+yg6sumbSRDjZeuyMAWGcXCSbzVIsFjnppJNi/dR1Wbx4MUceeSTDhg1j8uTJ7LLLLhSLRaIo4rsn/g8Ndojlt1G0wO1YTj8vT8Hrh29F5PA54eRz2WnHPUlbGQhL9GrMcNIPvsfLr76GaZhMOuwI8oHElyambWMA77z3Jrlcjl69mrjt97cxYNiWtHfmeee99zn8qGPYbvvt2WevXb64RqhZL6wXY81Yx1Z1W0ow4wn2aT+itXUFmTREQjB69BhSKY/bb7+dbDbL2O3GgozAgFTKZd7ClfTv14e0LfFyWRa/9SbKMikFZU4/45f0GzSQpuZe5OrrWfDhQkaPGo0vQ4gEVqWkTqXIlgG2aTJsSH8CgHafY089hcumPsKCf87FD0MGDugTZwmKQkaN2oqHHn6Y3Xf7JkqZ9OrbH78ErpcFaccZJfUgtEbzpaWzUGT06NFM/tY4mv3elM1GQidTHZrKNPRiQK4PKeL1dpa1tpGtbyIKfMJQ8N68eVhAur4eIp933n6b9JDeREJiIxi1zVZIw8as64VysnGKZi9NR1ee+fMX4AKuCaxqY/S2o7jkovN54YXXOfI7kzEMKJZKCCGoz3mkHBepJJZpU9/g0tHRzimn/JQDDtqXfD5fzbi7fPly7r33XgCuuOIKmpub6ezs5NRTT+W6667ThppGsxGhlMIwDEzLhqDIBRdexPsL5vPH++5HKZNdd92VYdtsx4T9JtLeVqBlwEDuue9PBAGQytJn4BDCuZ3YvZp55YEHadmkBYTAAIqtqwmDgGIxD0FEOp0jnU0REmFg0FEq0RJFZIFVxTKlQh7bALqKhJGI53VZJobtIKUi7cKq9ohOP/6sUIYwU0c24zJ16lS+NXF/OjtWs9mQzVi29ENeeO5ZcnV1KGUgBZimRRBIpLIwZYgCVq0qMqA5g6XAckGGZXr37cvfXniR8fsfwBkzzuT7P/gBAPUNjXR05Vkwbwm9GvuDgJY+Tbzy8iuk64bz/KPPcPRR38I0TVauXMnKlSvJ5XJ4nkcmEy+j0rdvX1paWli8eDEAP/vZz3AcB9u2aezbh9lXnkXZj+cRmvUN/P3V16kfOhKEAsPk3bfnMuXAfcCyQMbLLkybNo3JxTKFQoG+Awbx91df5x8vvwxAqeTTq1cjpWIBy7QYMGQoYFBfX8+IESPo07uZd95+m/E9jLXPtJS5ZgPjc0wwkqxaH28VCwXKJUmvpiaEAMey6T94MFttNZwn/v43UimPH/x4d3BsVLlMEPhccsml7DdhT/JLX+OvL/+DrbYZwVZfGcEO48Zx+ZVXcNDkSTQ3N3PBhRfS0r8vV1xxJXOefoo5Tz/F8ccdz/ZbboEJhISURUjKcXjjjbfxVYhTCFjwzN+QkWDg0KHMd57hz396kF123pZC1/vc+vubGDZsGFtuPYLXXj+Ti8+7kH33P4rr7rqcQr5MMZ/XjjWN5ktMpq6e1aV4bR8kGKaBVGAYUPAhDCNyaZcgjNc7slNp8iWfxoYs++63H48//gQ/+sllTNu1hdanZrJwwUr+Z8pBpLwM7atW0qs+h8QAYVAWJoV8F8IPSGeyNDQ2csPN9zDpwG/Sr7k3o8aO5erbH8QPHYYP34pSKV6T8uyzz2b06K8wdcpRcYZIKVHSxEt7lMthdU6F4zhEUURLSwvnnHMO2Wy2OifjlFNO4bTTTiMIAqSUPSbPazSaDRelQIhKen3TYsSIETz25z9z+s+ms/U2o+jMl3jqpVfYYvNhDGjJUgoFLQNa+ONtD3FA7iXuu/ZavJE/h0jQ3GcTOru6uPLqqzn8yCKl5XN5+pmnmXzUTyCTJeWlKftdWNiEQYjpedgofAletg7PdTGUgvpe8bpuKRciH0ybF154geZeOfbZe2+y6Rztbau55upbOW6XzQjDMk8++Th9W5ppXbGE7x4zjX4tffjtZb/hkosv5je/+S2+H7Ji2VKuv+7aWNZaFk89+QL33Xcfe+60AwdPnADEBt21V17Fby//LbfeeitDN9+c+fPfJwwlmw1qYOCgwdx+6+9obpxKuPzvPPbIw1x6ySVs1usd/n72bB5+8DG2G9GPSy65hOHDhzNy5EiOP/54DjvsMLbcckveeOMN3n77bc444wwAxo8fT6lUIp1O0+WXGDBoMFdefS07TO2P1/oWS1e0Mvn/DiCF4m+P/omujjZGj9qaoFzGdiHMFxi93fYoFWe1DEPBhAkTuOSSS7j2uhvZZ5+9Oefss9l82DCWLVvCfnvtyrkXXsIWW43grntnYxoGu++26zpahlZON3bWq2fNWMfewA9IWS6ZbJZ357+P69iEATiuxLZdTj3lNJ49YTr5fBd7770nFAoYlQmcUkguuPD/kfLnM36/b3HSSSeRaajnxyf/L3898m/ccsst+L7P+PHj+eFJP6J3c2/emfs2/3z9TTZpbgbbIl5pSGIZiiWLF3HM1KlkejcRLW1l2/6DOffss9l+2+0Z9aMmZv/gJxx62BFsOayBSJQZ8ZUtGTp0GLNn38/Pp0/nxluOZMLkXRGRSa+mJnxf4aV0p9BovowsWbaCpi0GEQnAcjENE8eIA47qUmBYDu2rVsaTxH1Y1d5Jtr6R+roMvzjvfHa87z4OPecPfPDYAjYNF3DCT65mj733pn3+Gwzs10Lr8qXxiHghoCQgl0ljpdL03qSFXK6OP972R3YatxNb9fPZYZdduOHOB4lsi7FjR+M4JgsWrOCll15k4IAWbNshiEJStsnS5atoaKgnl/Oqa1RGUYSUEt/32W677aoj8nPnzqWtrY1BgwZVU1FrNJqNgyiKSLkVtc6wOfjQwzBNk4t+fSkPP/oYbjpLe0nwx5l3EoTwvZ+exrz3P+T3t9zJ+8tvY9ddd0WUCyAUUSQxTZNsJssvf3kG0Yp3OOiIHzD1qL0R+YV46Syel8LGwXYdTC+NoyT1JqwUClNJcuk0FMs4KQ8pBLgZttx6BDOv/gPz5y9gx6/txjajt6dfv/e46667OGyH7/PYY49wxBFH8Nvf/j/aV69ml1124cILzsNQ8NjjT7Dn7t/gzBlnEgYhR035DjfeeCNgIUXEKy//g22Hb4blOCghiIIyjzz6CH36bMIJJ5xA701aAAPXTXP3Xbfwhz/exZQfXMYRh02jf/otzjrjbvbafRhOYHPh+edx2mmnkTZXMWa7HbnqqqswDIMZM2bw1a9+laFDh1JfX89DDz3EpptuygcffMCmm25aXbogk85w2eVX8r8//jE3HPc9hnpFrrz4Upr3GklY7ODV19+kvi6L43q4aQeMkFTOQYQhhmGCAMd1+f/svXecXGX5/v9+Tp22ZXbTG6QBUoVIUXqRUAKEgEgLKB1BqYIFC9IVREoQkKIIgkgCovSEEkIooQVIQuipm7Jt+ilP+f1xZjdB+ZTf1w9YmOv1Oruze9pzzpy55y7Xc92Hfe1QfM/j2uuncf3117H3xH25/vofI2SNG274NaedcTbtg4bQ1JLn7rv/wKBBA/6+liYafum/O4Tpa4/+fwiZEAux8eonYV2fBysERJL9sbNok6xyLNDVbl6a/RjHfO8KRowYwT0z/sogEUAYsude+/PAC3MIJejej0inBpDL5ZBKgja4rktHRweO49DU1EQqlaJcLpPLJr05yqUS6ZRNybMRCFrKHjoHpWKNmlAMyORwQk0pA14Y4wubyHOohhEpR5Gy0shIEtQKzJk9h70nTkQ4KVYWetlvv/352WVXs+/u29WvuIEGGviPQ9BL5KaJbJ9ceRkq00ZFZbHsxIZlax0UckMBaIkDLAKIQorOIJrdAMKIrnQLaVUis3YpwZDNcEyEg+SjSoZ8DjypSdMLwBqrjfa4gu156Dii185i29BS+ZBnn32FM877MYcefRLnnntmQjPybIIwwLUttFa4roswFpawkDKhSCFkf/9KrXV/MBZF0ceCs0ql0l9t69u+gQYa+NdGknSBcrGIliHN+TxBqUSqqZllS5fTPnAQXiaDNhDE0Cy6oLfA+/4Yxqq3IJ1iVWocQ3QVoghSzYRSUY0klFbhtwzH9T1cSmA0lUKOOL0Wz/PJFDSr8u30hppNTDdrRBtZ3yKri3RXLZxcjmbVQznysNJZFElAkQt76HTyVKsw0imi0zmklhR6CwxoG0gUR3j2eokjA5VSmWxTrl/ksGaBI+qEP6WIqmXS2SxxHOJ6dWaAsJN2JlpjJFhWgOuB0lmCAARL8FMbEEWQ9rsJozYALLuG66T773FPTw/5fJ5isdjfDLxUKtHU1IRSCtu2k+KCJUhZNQBWy2b8qEirKbA2O5KsCciYkB7dQsqEpB0PiJP9HRfq1xoEUb8vm8nl6OkpkM+3YAAV1vA8F4RFd3cv+bY2FBDHBtcV9M1eFOhEXRJAfIZkugb+T/GZp011HFOtlLHrk8iU1EgFYRBx5513ct7555PL5TjzzLPoV9qvU3eWLC/gODBowCA8PwmLbNvBcRzCMJH/HzhwYL9Efy6XQ+tEmTLX1ITtuAgsHBwIQsJQ0dScprUpB1KBYxES0ndiA2R8D9uyMcrgeA5BrcqFF17I+eefzxtvvM2hhxxKNpth5IiRn+l9bKCBBj5juC6REoQx4PkYY0i5SaLJtcFKp9fp4FoWKAmen1TbtUnmJQBxrKE9cQT6clj5HJRDsG0rcZJIjLPteSAlYPBssIHbf3k1N98wDUsIpk6dShxLHMdGaUXKT6G1xvf8ZO6KZRHHBsdJWpC4rkscx/0NbCGRmPY8jyiKCILgY9RH0cjINtDAvw2Uqvs7zc0059uQcUwqlyWoVBg5ahSel8ytlwpSfZnlVIrWZiCdAmOQhqQ5Yz1JYzsOuUya/KBB+E7i9OswAGGRTtukUmk8K9lWAq2+BXFM2rf6BkU26xIbII7xfYtyjf5gAsvCsqC1CYSb+F6O5ZBvzQPguR6WZWGMQSmFkpJMNrtOx86YhP6pQWqI45h0LknSu45LHATE9R4kWitcx8b3bUy99iQlpFKQyeQIAvC8hErquuB6YPS6eoZSinw+GVcmk8Gu2/SmpiaAfuaC53lYdv3645iMB+mMDek0ngWWUhCEpDywXR8Vx8RRhO26aF2/x1Lh+z5SSnL168lk0sRSUyhWcDyfrtWrAcjn8yiVjNN1Gzb7PxGfSmVN1ytrYv3KWv8ZI/r6PRj8fmdFS82jf76HVR8txN1gS6ZMPhjtuORKXdi+z+9u/QOTTjoJIaBFVMDK1s+xDh+LPD/hqozQxPU9vEBAfe58LMAyYBuoWQZHG1wN0kkOYmMj6teE9vjow4+Ycd90Mi1ZrFQb++/3VdoH5bGBRg66gQb+Q2EiJDZK2PiqjBEexvL6TY2tq1StZOJ5Bg0qsRnKTmHr5HXV8nB1iGsiIrsJG4WNIqjbShtwdVDfNkWffImWMYHwwRhm/+lmPlyxhm133oMvbr9j//DWp59/IhW9IYDUQAOfI+h12SDRZxVEXScyga2SObhVO0Mm7gSg5A6gydT9HeGgEXUZ/AiDjRF2whoAUCm0XU8uRYZivX9Zc1whchMfzSMgxkHikDY1JA5KrPOUfB1RsxL7lzYa83GHsf5zPe/uE3w7JdaZNgvAqL/fSPQdo08/QWFQWCo5t7Ir2DIZs3Kq2DpTP6Dm/6WuoQHLJPcpEKmERWEialYOx0hcI4mtVOJ7Aoj1+/T+vQX/+8s2iLpRN/Vt//7O9f23b02D1v7vik8lWKMvsOkjBX7sCYpZ14fNr6+rP1amBqpC6A5AGo0WFk2yXN8vS48l0BpaRQ1hJWXpT9Cb/DjWO3ck1k3Ss2L6Uzt6vec3+YAli7HqQaf2wKqPQ+WSjWwwVgVlkg93b6WXfK4Fu+ENNdDAfyQMpv61J7BNH4ln/S8/haxLZ9sYhOnrLQkYCYAWDqLu/khsLAwWBr3ecax6gKaw+rPPWsUI2yUII9IeYBLHS1rraC3/Y7DWQAMNNLA+6kGNEjZ2PUCTwsP5u/ZLkDg+fdal7sMZG1MPMoQGWafvOUah67bQQqLrls5G1i3eevbOJMEW9Llk/33Q8t9czN/8/q8gwAgUBi0MbpyMpeYq0nEygsBVpFR9NPY/EuLUk21YCJPYfSVshEnuiKnfo4adbuB/wr9UmB2FMbJQAJJStgGo1cAYdBDgCPBs+svE/zTUPaigXloH+svUDTTQQAP/17DqdJt19HFJHMf/zCE10EADDTTQQAOfAT6b2YYfo9+sn0NYl6lRClzPRbh5QiWxbSvpW+bYYJKu8FIlf2LE/z7KXO90EvD66//0J3AsK1mnqNcC68mj/l01YMl1l1PfL+VDGCZMAzcVYYwNotGXqIEG/hMhEVgYbHSSETV9FO8+8SQbh8ROKJx+AS7LGPryYpaJ0Vgo0adMK1AI7H42gtOfdbaN7J8QHscKgcQiyXzj1av//Vnk/23muZHDbaCBzwM+iRK3bk2yVvUzAVRiVwBnPbvzsQMJi8QZqlOLAERivQCkBU7dOUoqdev2S9gCEoMHRmMh6bOJRljrtu0/z//+2gCEkev/tZ764fpXvn7lTfTbXrc+5hibdF3jQGL3O3rmH6hpmH67rzEItLCwjaq/trFYx9D4r9+vjx/x42jY888LPrPKmhH15RM/PMnce6M0xDGO7eDZbhKsGQVRgPA9LDvpJei63jp7s/7yN0c2JGZF1Re9/goB/YbHaIwx/aFj35qPD3PdSURdO0Ag8VzwPYhNmTCq/oN3qYEGGvhXhaIvONIfe41JlsS+KDAqUeuqL8mXvpUsRqLRrO9amPX269s3+d+6rRQWjmPj2BaBgVpcZ0J+zNL9V+hzsD4FxnsDDTTwL4tPdpHqEtxGr2ejYmIgrr/usxh/f6zEsq1br/oPHgNoDbrPviVbGQTGaDCyPoa6V2bkuv+ZGEyc2LT/0bdb59X1zTtbZ9/WT1797UL9uvuupC/VlRxLrfe6L0z7R23muvuk0fWRJuM2/f9fR6//eDj5SXPU1l8+eRsNn/Du/eNX0sA/G/8yNEgpwXLWDSfWMY4FeD6k0qggSNTRBIlc/z8ZjgdSr1dtM4a0n/5v9miggQYa+H+D5ybZ6ygMsQV4LsT/fDPYQAMNNNBAAw18yvhUgjWFh8Jbl8QQJJMr6ws4VCsBBkElrKKExhEQmDS93mB8VSVXK+MANaeZbtWEnU5yEgJwlEGJkMCUIYAgjOgUFYhByySnUCUiIEZUNYGsYVBJ5qcWQTVEix4wFhiLLmERyYh0rQSsQVKhGIPBI5I2uBV6yVMgj6ECOqmsOXIYlkkK3WGUxxgHTEB3GZSOoVogoi63EoFkGVX5HnEMtagXQ4Ch2i+hrWSShE9iUUmSq4rW3Vjd90Mnmaq/QRCESGnQ2iTH+Fi6pgpU0RFEag2GHnQMhjKGMkEAUWyIdYw0UAwKSLpQMdSCCpoujE5UxbU29XFFxLH8WC4nVoZKNULG643vf8iUNdDAZ4++7Ox/lcPsy9hGQAAEpHQ3WgdUcHDitai4RMWyKNk2JdvG0jWKwqcofKw4wiUgLq8ltGyQnWB66LFsVGSTCqDKElRcwCmBFiFahJRCsHSMrhSpWB6EvRAXKZMMxXPSoBU2IWmnjMEiDDVSSWyq2FSxCBCxQkiNiUErC6OTyl6k+lgGEVLHFAqgKWB0QKUEUAAKqMhgdABErK9B1S8rrTVaa6Io+tg6Y0x/xjwKg8QmSEUtivuz+B/LCxu5jlfeQAMN/EOoAXrNRxAXEGEFrWKKIVRDMCZCl1cDITWh6RYOtq4rWOsUvZV6lU1GlIASAB2ouJtyHCFiidCSaqELKwZdqdtJkTCeiJaBckA5uFEIYi2I1XQpQaQ1aJn0AVMSghJ9lqBogKAHTBWjJIgyWvVgJBTLBYzQKKqEskYQAlhEcQVBAUvbWNpGC49izaCEi44kxgiUEpgwRBkIY4gjicYm0BbIAF0pYYAlsUXBc2kOC2ArUAEZDT3SJnBsbGpEtSIQ01kJkaqGKiynDES6BnEnVaCgAV1eV+czIKPEP9TCQSlRFwj2UDE4fU5TrYZQAUWgCAi5FFkCISEyGuK1oLuplgSRtiiTtEYQUfQJJEhrvWUd/q5JdgP/dvgMK2v1r2itqVVrpNIZDII4UnT39qKiEFSMbVHvT+QQxwpjIOUJdBzXqYfJF73SBks4/ce1sZOgUGuEgVocJpprWuE5PrGSuEqD6xLjUFMOKtIQS2wCHJ0EkZXIQSsLz4QYpXFtmzCICeMk+lE6qezZTn0cShPUamRTHkpJjJa0ZMCoEGmHWAaiICBWYJPD0okQiWV5xMrUm1iK/maWBoNtJ+cwxqC0whiDlBKtIZZJjyRtVH/fEa11fzNGxxFEUYxlQRjG/Y5Wsm1yAz3bAxJlzb5ifNLeRGKUplZLepFEKkoqnjbEKkbrvjmDyXgMBiUVSpnkWCahimcyHo5rIWXDCWvg3xcfJ2wnmSdjoLdcI44iFAIpTT+j2ihFqda3c/L1mE7nUMaAskHX7ZXREGkEaZROWohIlQRSvuuiVRHbl4kD5JbBKtSn9xbBqmBZyXwKo2QyX9a1cOvCI1JLjNZg24RRhBBQq4VEcUwcR4ldCDRBFKCVRSYNSsZIpehrCyS1RFgg1uttJOuCJutsVfK7r8dln9iJEIIoDNFSYjsORhu00f0CKQ000MCnCA1Wc3s94WtQUpPzQFkQKbAyWaKoQqxkMlNKQBhKtIzIZuppK0sQ6zplTyctIl03adSsophMSzOYhF3U19dNKonrukmAIvumnGiM1tgWSJVk7WOZaEFS7x8ZBUFiKh0XpCKKJXEUYoAoljQ1NSGlJIhDbMvBdSEIJJ7rJscLVDJTRkoyXtLPUgkBSiKMRFuJ8qJnK4TrEcskkUS1Buk0QQSt2boiY13JMgpDtO5vO4eMIrx0mnKhQFPWRyqNnU4jNYltFxbFiup3poulJMwVgNaSWi0kCCRKKby6QAgHd0IAACAASURBVLrjWMg4REUhwnMgjohl3ZvVGjeddH4x2iT/lBLfTwJdqVVCN23Y1M8VPt1g7RPCeaU0tm1jWTbf/94P2He//Tl48hR222lH7r/vIbq7FUQhBAGea2OLhPpoWQLbhiACoxWW5SRz2iyBcFyqYQ1imUj+x4q0mwUsLC/5UDu2i1+feOqmbLCbsE0MlsBHYlsWOGlqVgqlbTKeS1CrIQDXT9HkOtgIlAan3rhRCAvbtUll0giSD1IYVDEqGa/jJyIAQqeQOgIy+F6eDz7sQggHx04a11arSXXNskDWA1StNVIphBAIIXAcB6VIGnQbjSUshEia6PYFbJVKGSUNKd9j9Zq1+L5LFMVolThXtu0QxYZCuYBG4zhQLBUBjWWDJRwsK2l06dgWYRziOGBbUK6VE8VbEiPqOA4CgZ/ysW2BZSX+aWKskwDRcf5lWLYNNPD/C2K9n1BvIC0szjzjTA6ZMoV99/oqe+3xVbq6elE6+YwEpRIdHV31XQxhNUDYDrYQ4KRBisRJcmwqvT0sXd2J7fggIIw0np1NcqJujLADtLTAKoJdSopPXgh2BYBKRSJsQRAmSZi+2pdl2QjLQoYhfipFUJOk0j5dnT1IGWMJSKUsUl6KSFaxnaRxrGvb+EkfbBzLIawptJSgNY7j4Dj1YFBKwjCs2xMby7KwbRvbtgnDMBkDgmKxiG3bdHd347kujt2wBQ008GnDKANeBtvPgSW457bb2H7Cl3l/aReWBdVCEc/WXHzhhfxi2s1JslVGYBSWgGIJEBauVZcNERaW5yXf6aHE9jyOPfIodtv1IFYuK2NZFuVyFc910EIjRELPVlJilGLlihUUyol9NNUajiOQUV0dwPXw0pmkWbYBHBc/lcL1fGQcc+zUU1i6bBmO45ByfcI4CQxTvoOUMUpL3JSNsBNfzBECWxgqkUEIgyUMuA4WGhHHSTLfdvAcFzJp9HqNwasRWJYFWuM15bBtqAVJ83BRFyvJZLNowHFtVK2GY4GtJAhBc9ZOkl3a0NLURLlapae3N2nQnU4aW/u+QywNxVIZpRWO5ybCIzIG18F1IFaglSKuQZJTF9QKveC42DZo6eBYNlFdNb2Bzw8+m29QsY784jgulnDZY7e9ePnl1whqMS3NA+heu4pfXnkFNjqRWUz7WECpWEkGKQyWgYwHlmtTqkbYVgosjSUEbX4eUjboJPDSWJTiCF0rE8RJbw+XEpEFsQUFA+hO0J14KkBqTSQgcDJoG9ABmbQHOqYmbUzQjadKKC8DRhFVShgtqVQS+X4B+J5HKtuEoyGKIyQSKwQvAuFXwPhUKw7HffNrlMsxvYUkDZ/JZPoNQl8g6Lkebt1BCoIAKSVJcktgWUmgFoQ1arUqjuPgui7Nzc3YTiJjOXDAgMQeui5Sa4IoAgQpX9CSa8XGplLRtDa1AIaH/jKLe//4RzpWrmD77feiUKoxZcrBzHluGRhBPpfHshLlzFTdwgVhgNGGKDLUajFSgm0nEXoUygbdsYH/CBiS6tDPL7qYZ595FqNhw1EboJVi8uTJFHurCODaa67hnLPPQgGWbeGnW8C4SFOCOAU6R8rOoMMau+2+A0ccei7ViiYod5NNtYJxESaGuB3kQFJuL/SOguIGWI6GYAi6ZwgKSOdyVGo2vidwXa/eNFZgYaGlxPF95r/6KnvttRebb745++w7kRt+PQ1IqMwP/vXPPPLQTAQQqYhIxsiYpPoOpLMOluMgbBtjDFEUIYTAdV1SqSSq01ojZZK4SZI8yZxdx/dobWtj4YIFnHLqqXT39BJFjQl2DTTwaSNja8rGZm3VAh3i2RF5p8bijl4iBJmmVtBldBQinRYcV5HNOli2QgCtTaDDhNpsAFmqgTK4rgW2h5aK5SuW09zUxIABOSwh8DyPYrGMS73RtQE/lWLey/OYPHkyv7ru1xjbwVhJ9zYn7dWZAja1aoDSENVCCCMqgSQKagRBQGdXF+3t7XT39ADguxZSAgIs28G2HKKa4rGHnuDQw4/m2MMO5N3XX4CcD7IHwk6OPeNSjtx7R+647jK6A6iFFYo9SfPvJx99nFt/ey8AaS8JkqhX16644gaiSOM6dbZAEGDVE+bagN3UxAsvL+Bbp53FMVOmcOfd9/e7Ox2rV3PDDTdw3PHf4K8PPYiUklwuRbVWwxhJc3MWxxYYFSJSDmFY4ftnf4ebb38M1wY7ncH1oVI0nHveeZx66mnc9ZtbWNOpcf26anlLKw1i4+cLn5J0v/kvfkMUhJx06mkUCkV23X0vfvqzn5LNpYm7u/jmyd/hm984lod+dwVeczMffvARjz32CAiLr2w0iI13OgjLsVj+7jusjlMYYOn8l6hZHnsfcDBLO95nzqynGTtkGIO/siMDBuRZsfx9ltRC2ge0M++JP+M3DWHbL21D27hxdbWSiNcWL2f+a2/huRkGfnE7tttkDFKGLHztFWzHpsvK8sHrT2BbNjvsfzTj8014aY/33/2A5+bNIwxD2ga1sdeee5BJe7w5+xVSQ21eX/oatcUaYUkmHrkfQgY88+xcjIKnnn6arbfeiiiI6e6qscEGG+B7GWxbIJVBaIkQoIzCcXxs20bGBiMSQ2rZNq7jYIzBGI1SGsdxiaIIrQ2OY1OpRGQyGSxjYdseUml0bHAsjTaaVCoRD1da4zg2Witc1+a4447DdSyKxRKDBw/CGIXUEh2Cn0q4366XVPmEJUAp0mk3EYJSBscRGMumX3SzgQb+7bDuydVao5Vi5hOzOOSQQzj3JxfTpHuZ/ufHufAX03hi5kxGDB9Ob083RmtmzXqO/bffDNfJMm/ePF5Y9Bzjm7/AJptsQtMmI3h74VsMGNjKKpNj/vyF7PSlccx84kWamlrZdsIYsKu8/eqr9PpZdth0POXubu574j2iFYvYYNQGDNliOzYeM5ggCli1rJNcLktbW45cqj5qIfjpj37Eo48+ykUXX86W22xBT08vl172U3551fWcfvoppP0UpZ7uhHHueWjcpLKvDdggI43jQxwECNfCq/N3wjDEdV2UUgk1qo4gCLDqtEnPFoRRst2K5cvBGFz3s+kS00ADn2vICLw06ZyAyICO0VGZ9qEjkMIC24VCAQsLY6WQKmTlihWsXrKEDtnM4sXvs1FescOhx5Kywck2sXJtL7Nmz6K6ai2bbzUe3/fp7e2lUIxo8gLeXvweb731JlKvZNzwyWy//Tg+/PBDHnnkETLpDEob3n1/GVuOGcZHy1bx2nOzqfV0MPYLW7LzLrsgFXjZLIsXv8NTL77B8EE+o0aMII5iKpUKgwYO5O333sBzWhgxfHRdzFFQC6tc+OMreemllzjp3DMJPnydU048nrNumMG+wyMOP+BANj7ucnbf9SSefPBBfn3oUTxw1y0seOVlVry1gL/MfpHtJx6YzF5WUCqV+Os997F69Soen7OIs773LZROppDYjouKIhzPRWh4efZszvvZjZx4xAGMSE/gkttu45nZs5n2k+9w8MFHsvPOO3PKySdxx513cfNNv+ZP0++ntbUFy7LQWiKMIYxCXn35BV6c8yyzZs1k8uYHJ3P/peT9d1Zw/PHHc/hJhzF656249847efDJJdz8u2sJbEmLbTWokJ8zfEbB2joEYcj81+eTz+e59NLLwdJUq4amphw3334bbtbHC9Yguzr5xrHHUa1WaGpuZkbXe2w/eREX/ewHPPPUk1x+2/2kUilEeSWSDL+69lZitZq8kyJY3UVto02YMWMGL815hot+cwdaG4b7MaUgoQRecdsd7JKPueiii3hySYFqqUJQrrE2NZAffuckTj/mMB6a/ifuu+9PyFFb0lJZgNaaF5dFXP+jM1j10Ud86+RT6KpF1IIajmN49913+e653+Wv9/+JB1+aySpTYBM9AGMMC9Z8xNabb8HVV19NSjRx8cWXcORRR2FkJ3+8+0GmTZvGDtvvgIwNritAOLzx5nwuvfRSXp43n/Hjx/OLK65h8y3HUCqXuPHGG7npppsZNnQYJ5xwIkcfPZVXXnmFm266iQkTJvDoo4/yu9/ewe2/vYNrrrmOXIvg5JNO4sivnYAyCtdyMfW6qtYSoxPaUy6bZc6cORx19CR83+fpp5/hvO/fQsfaVznluEvYb7/9GDq0iUce/TO/+93veO+d5Zx6+nfYddddGTNmJHUKO5YlEvql3QjXGvj3hiGh97Y0t/DIw4+yyYRd2GV8ngP324evHngYlg0//OHPmDtzJnLw5vz4Rxey6bRLOOqYk9FakR1hU1koGTFyJBNPPZIl81+mWOoiTm/MHb+9kx23OZ8LfngZY8aM5s7bLwO7ym9vnwaDt2aT1pBDDz2UDmdnRnrLWL58OfawL3HbTVfxwbuvctklN3LMMUdwwgnHIOr2dsXy5Tz++ONcfPHF7LDDl8nlM7S1tXHiCSdw++334nsOpWIRx7ZwbFjTtZbLLrqeF59bxNBRMcd98zj23/doOpYv57777uO2O+7my1/+MlOnTuVLX/oS5XKZ6dOnc/311zNs2DAuueQStthiC6Io4sYbb+S3t94MwFFTj03mt1kJVdtxGo5FAw18qhCGsgTfAWoVfNtgyYC1PUUweaIwxEu5yDimqSmPViGL336LS354AR8FAxg+bDhe10IKt97PbbfdxheHO1xz9bU8Pvs1UmFILAtg1bBNhkza4557b+NXV/8Gx3WxvDVQeYGNN9qIHXcZxiOPPEIcxdx9zz18YVgLpntDjj/vEsKeDprsGOVmsSyLP8x8jplPPc75552HN3A0pbWLGTZsGEHQ1J8kOvGkkxg7eituuuE39QtVVKoVXn/9NU4++WT2n7Q/ufKWrFj2IStXr+GFN58l7WiOO/kIxujlTBgzigfPvonVa9ZSLPSybNlSPN8jiqKEem5DoaeHZcuW4ns+nuchSOibtnAIaxF+JkNM8n1w9913k81kOf74Y/GiEuGgzbnssst46cUXSWcyXHTxxaRcwaAhQzjhhON577132W677dDG4AiBsCCVSVPq7WHt2rW0t7clc/4BlObW237L4CFDOf7447ALy9n3gAP5y18X4XsWwvKSqUKNQO1zhc98IsHSZcvI5/MMGDAQbTSuYyfBCZBxDZYAbIc77vgdrucxd+5cZs2axYEHHsiM+2fw7nvLsFwXz2/luOO/zZxX5jJlyqHosuDcC77LQw/MYFR7G2t7a6QzPk6tl1Smhf0nTeaB2S/z3RMPwi1/yII5s3lt6QpmvvYma6J27v3zX3jq/pvYqL2JhW+9TQFosg1tvsupZ5/P7LmPc9hXd2BJdxWCIo8+NIO2thZemPcc8998lalHfZ3HHnsSCeSsVeTzg5jzyrvMnPd79tl9KJ3dOaZ8fWfmvvQgIs4y44EZnHnmaXUus086nSYKE5GRMFJEUcRNN91Ma76Vn//852y99dZce+00wHDHHb/jiSee4Fe/upovf2UHrvrllTz55Ew++ugDFi5cyLRp0zj88MN57/13ueuuP3DJZVew2267c920G5j97Dwcy13vHTEEtRq1Spl0ymd1x0qWL1+O1DGpVIqLL7qYiRMnsvfee3Pjr2/ke+d/jzVrOjnnnLNpbW3lnHPP5ZZbbuHKK69MjlZXduvu6sVqBGoN/JsiljFRXK9iCwvf8znzO2eBFlxz9bUcftjhHHPMcSxa8DaOgEsv/jFHHXkERktmzXycVCaFUpIJE7bh8Yef5uZbrqdj1UfMfnoel15xEamMIOXnufzyCxFCkc+3Y1kujueBEGSzWYQQzJ07F9d1OfbYI3l05kx++MMfUigUKBaKZLPZuuqZJuX5gEBpTblSJZ1JM2HCBNLZhLKolOQrO32Z2269kTDQNLe0EMfJ5/P0U0+lu7OLH3zv+2ipuOLyy3n95Te47NLLuOvOu7jgggt44403OOOMMygUCvzoRz/i2muv5bTTTmPjjTfmjDPO4P3332f69OnceeednHrKqVx80cU89eSTxFKSTqeT+SANNNDAp4v1lFvJpEBGuK5FNpchNgIvnQJjoZWgUonwPJtyuQdhNPdPn8Fjj/6RqVOPpVis8Mwzc4iKZV57bT677bEHz897lmm/voEgCNDGYNnQsXIluaYm/vqXv/DM088QhSEdHR1MnTqVb3/727TmW5k6dSpTj5rCVVddxdrOTu754x95+umnGTNmDLZts2jxe1x6yaUMGzacn/70x7y1cBEHHHAAnu/Vz6VpbW3tFzMRAqTUDGgbyM+v+Dl77rknCKgUCzz99NP4mTSLF79De/sAvLqr0zp2LEIIent7mTzlEH5w+eXsuvfeSLmOnj1q7Fi+d/HFnPWDHzB69Gi0SebfaaVwPQ+jEqqoiCI++vAj9txrz0RIRcZsscUWWJZg9OjRXHnllaTqQeby5cupVKqMGjWKMAyxhYVUEiWTaSITDziAS6+6iiiMiKQikGD5KTpWrWbQ4MGccfa57LPvvlzz85+z3/47UI3DugiMnVTWGvjc4FOqrP2tk77OgGQzaUqlEr7v4/s2cSxxfQdVCnjr/aW8t6KTg3faiEcfe4J99/s6GoFtCfaedAC/n7WARx97giGeoKm5nSmH7IexygwePJSs38xX9/4qlnJJWQLXz1AODHZdlfC7550PjsWhxxzBnGefpHttF/fOmIe24fzv/5QBbTa5/FAuvfBCvn/hRUgFpa4usp7L7nvuAno+e+28PQ/NCkFLHphxH/nB4/jJhZeT8lO4OqJQKLJkRYmcZ9hjz52TC66uZdLEnZj/QNLwtqfQQ1O2iaaWFqSGc885l3POugDP81ASlNb4ns2qNT0EtRo33XwjMraYPHkyjzz0BKvXrOY3v7mZm266iW233Z6Je++drHvkUbbZZgJBUOOee+5mzJixTJ06lW0mbEOx1MtWW29Dx+rVPP/iy4TqAz768CNchoO9kq8fdjj51laWrewmm0lRqVQTiqOAU045heO+OQk/NZl99ljKeeedx/vvvcfQocPI51uxLMH3vnc+m232hWSiseehlKGtvRUlFXYjm97AvxmMMbhO8i2vdIhlCUrlEhN2+DL33nsPL771Dl1vPccri5dy6imnMuXQQznpxG9i24IxY8bQlIEBG4zisssv4a033+QXV15P55sLaR+QpdAbIMOI9vZWOrtrZJscwmqE7zuEYRVlFFTBmAxalNlv0rd5auYr3H3vrVTfm0cu18SZZ57AlltuRMbbhBdf3B8Za+JY4nhJYNm1di1BLSCdydSTJ0lTWq00Pd3dtA9oIwwCjFE889SrLFmyhBn33cTgtjFMOuRBpl17Lc/PfR5LQL61lXK5zFVXXcXy5cvp6upi1qxZnH766bS2trLNNtvw9NNPc91115HNZrnuuuuYsPWWCCHINrfwvR9cQKVcpiWf/+e+qQ008DmAETY5ByqBBhsCA8p2SdkGF02lVCbreFRrEQPq8+TTfoqtt96a8eMHISVMOngKl/9xJg8//AiH7jCK7p5uLrnkB8hQ8aVtJ7DpppuyZqWPEIYjjjgSrTPcfc89rOl+g1QqRW+hgG3bDBw4sJ/GWK3VePfdd2jLD+PBPz9AzooYOmQwb8x/nTffWExX11paWprYeacdUXGBU049lYf+Mh/f9zEG7r77D/h2C7YFlUqI64LSkk232BTbsrjnLw9x9y9/zH4HTGbX7bfmkUcdQmNjSSBM+pWkXAutJLGUuEphxTHNzc3EJEJwCS3ITib11l1Wx4GuVV3cc+/0ROTNb2arjUcTxRGu42LFMaQz1NbUqFZrtLa3scGQMaxZs4Y7f/9bXnrpZX7xiysZNGgQ8+a9zKuvvoojDKNGDmfffSaiZYyRMa7nJUJNFpgw5J133wPg7J98h+MO2i3x7yZM5InZfyESES2mPrgGPjf4lIO1dWpqfU//oIEDCYIapVKRGTPu58CDDgLA1nD/9D8z/bGn2fn3vyCVziQZY98ljBWRVChjyLe3E6/pYsiQEWQyDiAwscHWDrGtENLBM+CmMmhbYHs2rpcilgYjAE8Qh2UsDX4uTbopS6mqEEaCFeMLQa1cxbahJZPCMRIv7YBSWFGZWGQg7dHduYbtd9mXvQ85lNGjR7Pmwzc45MgTGDa8iVL3Sto22ZIKQHUNli5RKrv4tk17SyvVcpVcLo3WiQCIwE/ukgHPsykWK1QqZb6w6aY4toNje9RqNXbddS9Wd72DZQmGDB2CJQQ4NqM33JAoinBdB2M0o0dvSKHQy+rVq9lp1z2JYoPlaKZMOYSMOwrbW8aYcWOR5UGMGj2CpuZmatUKad/H7zMajiAIAnbcaUcsGwIVMG7cOLq6uvB9n1kzZ/H24kVc+6vf8NIrr9He3sZ9992H5zkIoNBboqW16dN5vBpo4FOE1roulENdrbXCvHkvcf7Jp/Ht7/+Mr33zGNL77UQlgC223ZVZM2dy5pmn4Xs+HStXIIA5Tz/Fueeey6RJkzjyxO8w4mtVDjlkClkrjcSlUOzFEBMrm5amZlauWsrw4cPRRuGoFJWKwRkcgjeYX9xwD4sKy5l//0s8+OBfeOWhP1HpWcEPzv4uoQTPs+oCIxoEDB4yhI6Olbz55htsutkWOH6adDrFE7Me4icXXMl9900nk05TcQPCMCKOYtpb8/UWBJrtttuO555ezK+mTaN71WpmPPQY3/jGN/A8j4svvpgRI0aglKJYLNLS0sIVV1yBlJK//vWvbLrppv2B7shRo4iiiLa2NsrVKtls5p/1ljbQwOcDwsUBmnwLlMDzU5TDmELnSuxxYxFGQajp7Oplw3SKOKiS8n0EScck34VQg+t5+H6KWEraB7SzoqOX8YNa0caiUCigzUAKvQHTpl3P3LlvcO111zFkxC689OTVFEsljNYIIahUKlQrZaJalbWrVzPiixuz3z778IUNBqHcLOeefRYf1LI8N3IklXIJDAnjyk/R09OTiKZZFhk/gzGGUhFaWnyiqIZtOXT1FPjGN75JftRwHnzyGQDWapeBwzeg4+k5hFUg3QRKUe7txrYSESbsZJ5tVQgcQAsSWqECMmmqtWoiuFRX/95is82wHYeC9GhqzrHBBhvw1ltvIe0j8FCsXbuWMAyxbJt7772X2267jSkHHcCNN91EvjVPsVxmwIABDBkyhJZclpTngDFYGoTjIRDYjottQRhLho8YQS6XY9Kk/UibEs0trfzhgQvoKdUY0twCUqGiCDud+qc9ag18tvhsuCnGpk/HP9uU4+ipRxDLkGuvu5pSuYA2hlI14MG/PsLEfScxaNx4Rm44hjcWLCLSYCyb+a++Trka0T5wMC2DhiCVTbUGZco4nk9rup1yVCbSAS2+R1dvhWIForDMqlWd3P/AX9ChYtGC91i4spsoPZQ9d9iEytp3mH7bLSjlQy3iO+ddxJabfgEv0shygYwFNQEE3WSpEQgPwgq77/oVVqxYzuabjyOVsfFcmxNPPJGahBYnTbEUJX1KWkZQXVsj1SIxNBPEHr4fsWRpF7YFz855lj/84Q8sXrwY14Uo0jQ3Z0ml0syd+xxBmKhNplIpTjrpJLLZDL7vs3jxYhJJcc3DDz9MPt8KxtCab0kctsGDyGRS5HJZjjrqEPbZb3/GjBtPEJTYZcdd2GWXXdhzz53YYsutMDomjkOMkpRLRWzbolKp4fspbph2A8I4pOwU7777LiNHjsRPpTh66lGM2mADpt1wPSeeeAILFy4iDCOiKE7m9zQCtQb+E1DvMeT7KfL5dj58/0O6OkNA8NzsOQweNIharYZrQ6lUZMMNN6BcA6kV+XyOKYccwKYbjeH5eQ8i3C6y6UF41GhtzVENO4gldK4q0NRisbbrI8LYoRQt5Y3Fz0C8Eb+79dtM3KOdRa92cvhJOzHtxm/TlhlHPtfOooUvMH364zw3dz7FYkAUx0RRzNBhwxk6dBhXXH5FnX6Y9GV8/fXX2Hj8RgwbOoCOlR1o6TCgvY0oDFm2bFkiFW1ZzJg+nZTnc/I3vsnSJUs49thjWbRoEb7v90v3jx8/nq997WsccMABzJs3D9u2aWtrY9asWWAJjNa89cYbpNNp4jhuBGoNNPAZQDk2bqWXjIlAWOSHjGJlWXP+t6aiqzU8S7BkeZm33/2QjUcOwU1l6VzTySvzXiUMEi9t8dvvUCyWGD16DG3teTq71/L+h+8QqYglSz6kq7ML27ZJZ9IY4PDDD2fokCHYwqa3txfLsrBsm3Q6zbChwxiQb6Ft4EC+uMWmFLo6GTJ8CK4FTzz6EAcdsB+dqz5g7aqVyKDGqhVLcf0UD8yYjjGGVas66O7pZsaD9zNr1nM4TtJnzbY9wjjgnHPOpburi6uvvJxKRRFFFlmj2XTHfVgdejTrMoXukJdffhtV6WLshiMRrg9BgJvNJboHJC2hUCrhPQLpdBrPS4pX+fZ2dthhB3bYfnu+uucubL75powfN45Fby9C1SLA8MILzzNs6FCKPT1cc+21fHXvvTn5pFPJt+bRGppyOUaPHsPBkw9mzz33ZseddkPYPlGkQDgI4SKERWwglWsCAx988CFSQ1Ao0t3dw7ARIzAyadMiK1Vs3/+nPWcNfPb4zOuoSkqOP/4EXn31VZ6d+yJTpkxhxMiRvPPSyzQNGsVZZ50Jushpp5/GLocez7HHHsf48eOZdfev2X3iMeyxxw7MuPkVKuUKuSxAGm0Uvb295HI53CBDb28vfn4QLS2Q9TwGDxnCzTffzKI3X+LN2XfQubaTr3xlK3ae4DJk8BAWdnRw7BHfRHa/Ria7C5tttjm+ZxFFEZlsFksDnkcYBMmEVyE488wz2fvg4zjrnAtQSrHg+YfZbNs9ESLp+dGadulRQLVCKpWiVCphMIRhiJSSk08+mW+ffjrvLXyeu34/gxtuuIGNN9q4X8J/+LBhVGs1Hn74YTbZeEvuuecestksgwcNZt/99uWW0RVZAgAAIABJREFUW27BEhadnZ3c9Ye7OProqUil6OhYlVCgUmkuvPBCfv7L69lks60JwjVcdtnlHLjPscCWpNwUxlgYLdFa097WzopVJaSUCCFozjUTRSFvvvcmd939ZyKzhKsuvTfJ/mvNypUdXPDDCzj0kKN56OGH2WabrelrzaCUwXJEf5PsBhr4d0JfgANJlc1zPbbaaisGDxrE/fffz8wX57PlAMPiFd1099T4yYU/RQAtLS3Mvmc6h33ta3zr0D3wfZ8Tjj+BfSafz4Lnb0Brzevz57NsZUi1WqW1tZWLfvJTrvnlT8ik03SsXMkpp5yOq99BaU0YhkyaNIlrrrmBq666nUWzqzz11FN8sDzP4MGD+eCDD7j66rs45pjD2ekrW2ETo7TCcxx+9OMfcc7Z5/DTH/+EE751HAsWLGDGjBnceN1dAOTzeYq9VTbZZCO23XZbfv3rW9l9l4N4Zs4dzH3+ea69+iRmP/cw3znjDC696hrmz59PqVRi5MiRRFHEr371KxzHobu7m/vuu4899tiDsWPH8t3vfhcV1Rg7dizTZ8ygVC7TsWoVQ4YOw3UblOgGGvg0oTT4fSqtUcTmE7Zh22235e2OInvuuRd5V1HuKTB0xOZ86UtjKXa+z4ajRyOEYOLeB7L7Hnsw/7E7aWkZwWFfP4zmASm223Zbzj77bPb5ynasWrkEy7IoFotYImEe3HzzzVSrVZ57aQaZzIZIKVmwcCGrVq1idV3GfoAbcNhhh/H9q27hzG99izFD8jz3yhvUagFbbrEFJ59yMtOun8bZ55zD+NEDmDVrFilvHL6foi3fxi233MKwwRsxYevdaG93gJjF77zPW2+9ySabbMILL7xIzhHEMmbTL36Z8ePG0dTczM9/fjUnHnkQ55xzNrlsltaWVuI4wncclJKUK0lvyKxHvagA1GoEtSRJ7joQlMukcq0ABABSMmnSJK7+02x+//s7GN3mc/1113PQ5Ml88MGHWJbF9ttvz3NznyedybJgwQK+fvgRpNPJ+2IJMEYQ1ar9CbAgCCiXS7gCVFDjtttvYeutv8S0aTew/w6bcsopp9AybGeGDG0nMNCazRDXariNJNjnBsIY8/eSjf8g6oKACQ+YPjJkfTKkkUljWCGYM/d5FixcRLFcYkg6zxd32Z2xm2+EX1qL67o8Pf89XnhxHo7rMq7VsMfhJ2I0LH39ReYvqTF58m5oezXvvrCCd15YznYnbMZQk+Gpm37P/FGbc+ih+/HOr3/EWbfM5ZKLf0jXe68RefDFbb7I+K33ZIT9IqZUZvojIWs6PyDWq8iM2JOD9tqWQX7Iqw/9mWVLlrDRdy7kC70PEK9Zw6XLtuInuw0Fx2bOU2/wwjsrsCyXNtHLlydOYsiGY1ly962sGDaWQbvuxoTOtwlWr+aPyyscNXE/wkgy95FHeWP5GiZM2BbPrGHBWx9w4IEHMmjgYLQ2GANKV+lYtZIZ06fj+02k02n22G1vho9qwXVcZsy4n1WrVyNlzJgx49h3n31ZtXo1DzzwZ0466WTiKMa2bR5/8lk+WLKUMCowcMBAJu9/BM3NFYwwqGoLfqaAlDEfvt1DGJUYO2Y4t//xcY6eegB/euC3bD76QN58+xlC1cHwAduy88470taW4+VXnuO1115FS59MUxM777wzG2wwgjCMSfkutWpIJlPP/HzSE9YI4hr4p0KTPJh95IJ1D2TSDiPJsAqhUToGwNEODz74CAuWdDEgXonK5Jk45TAGDxkMQMeiF3nw+YXYjsNRE7/Mk/8fe+cdJkWZrv1fxY7Tk4chCJhABSQJgorgYkRc04JZFFEwrriuARVFUJRVARMIiglBVGRAREBBBFkBFRREchoZYJjY07ni90d1NQPrnvN959t197B9X9dAd3WF963u964nPytXcLDyALHkCZzZfS+7du2ivPY8/vD7U5CT2/l4+S8c36IZl190PhU1B/lswQLqIyativxIkojctITfn9GDyt27effLNeTW1ZNXUIjcvIR+5/Xml51bmL/4R3r06Mqpp3bArxoYhoEkCQi2h53btvPlsq+ojVSTEwzSuUs7Tj/tHHTdomLfVqJhjfbtT6U2vJNP531JKupH8OylQ7t2dO/Wj0ikkkWLF3OgJowsy5x66qmcdtppJJNJli5dSkVFBQDnnHMOLVq0QFVVFi9ezIF9v2BoGjl5BegWDBwwAFlVM+X7nTtuO3fcNp0tQrYASRZZ/P8iakHQqnG0NklAE3zs2FvDmpUriFQfIBWuJlh8LD3POY9jTjyWfLGBRfPmMf21N+l/20gqKirJ1yvpcMmVtGzVjBKhlp17q5kxdzEFkkVeKICiCDTU+Bl8y9XsrNjI5198Q0NDA62O92DUt6K2NkzPM4+jY5fmzHhvOnW0putJLenVtT3rd1Sy+svFGNFqfPkl9OlzDnknnEKeXsvOjRtZ8PU6sCN06NCBHdtjDLplAOFwmI8/eZ8mRa05/9yLUVVIpcKEw/uY8+EKvB4vSTuFZUsk4lGuufxSSlq0ora2gU8/eo+wLpCT4+fiC8+jqEkTLEFE1eN8v2EbhsfLsW3b4FEEQloDggmmbrBkzSa69OhGMKiiGlFE2YORSpEQfXhIodoJlv98gM3ffY0Y3kfo5DO54ILz2bvhryxZuQ4EAQWZeDJBYWERA6+6CkWREQSQANNIV8c1kyQTcRaUlVFy5uUc2zKf5vJBTL2E8vJqPlj4ASGjjtLSJvT43XUECn0YEuQnUgge1dH8sviPwD9FWfufwAawLQRsDMGxcMi2hi44VXUUW8cUHMuEhI2FW8UnnVviRP1imiaSJJGIpZAkkZnvvc9LL73EypUr8QQU/qlw76TgvrE5pLo6I3cgHrHv/wsaVwA6MjfwcL3IBgT7f3CJ7PrPIou/QQRQDfAYYHhBx0YHQqn0qlOgLl31MF933h8d0GnMXUc+MA4Z41wF+KiZeBZZ/K9CHPA7TiF0L2g4qzcvhWMlkSAsWnhMG69pgyqzYMECZs+ezRtvvOFULJQk5H9k8QpbBwQQRKw0fzTmEBEQM8Z8Eyst5zUWQ4Qjj7KFw/c4qmSWMJi5zkvpIBglzmu5Hiwv2N5DdJzFfwyOOnOmJEnouo7P70H1KESiEfLz8w8r0ZpFFllkkUUWWWTxn4x4PI5pmuTlOWF+Ho8nUyI/iyyy+PfBv41nzYFjPbHSOqRom1hpL5uIhZ3eLsDf8ayJ2LaNYRgosoJl2liWhSxLJOJJfMF/cuWcX/WsNfaEiYf+/x971hp/Xb9+sH3Em6xnLYss/v8RBxQDFBNMj2OxNoCg5tZ5hoZ0WErI4F+QEfzPgsGvcpcLp4wkhzjvqJl4Fln8r0IS8DppWBiNOCpHw3VhERFtVNPGY4EhWIiiiK47aRPg5KFJ/8iGy7aB41kTsNM+tMYU4pSfcz1rFrZwiD8OF0V+3ad/1CAjE8bADDivpVowCpzXchhsj+NZE02c+R91/pYs/g7+rZ6qdrpipGg7lh1TkJDSry1BOuQqR+TXQgDBIRpN05BFGVFyGsbaloTP/68ocXqEq/4fQi7//TmOMgrLIot/CyikUwREZ41lxBk3b0BoFAB4VC3CI3ns7+2TRRZZ/CshZv5x/nOaG3FIZBJAQkAUBRBAFkUikQjBYDBT3Mz6hzdbFmjMIb/OJofkub/PJP8pHKM2mqraSB+TyTx8nCSX335oWfzLcFSq5YFAgGQyRSKeQJJkkokE4fqGf/WwssgiiyyyyCKLLP5toKpOXYBUKkU4HM6mjGSRxb8h/o3CIC1MBCwEFCsOQEL047NiACTFAF5bc/ZMFx1pDNdaYxgGsiyjpzSUNAnZpokgSf8iQ8R/H7b4Pz3br5/1yPTd/xureBZZZPHfwjbSy0sAScqE80iNQprdbA/J4qgxhVnYGXt3xqjbGILLOs4HYpZvssjiXwILnFZDuC/Si9VywhARBHQyEZFOM2zTxLIsFOWfVRjo8JyP/zqYsXFRtsPiFzIH2r9CL0cF4zS+TZnXBtjpADhBw7kfEodC04+Sh0wW/y1+82/aKYvt/Om63vgDTNNwAh1tA2wDzQYsHYyUs3wtAywD3TAxTMf6o+s6/Iq+6br0TdN0BAnLwrIsXN20sau/sSXJHZt7bOP/3c8z5210Xffctm0dGhdgWbY7vSOOsf8m3CCVSh12zsb7W5aFkW6IGI0lnMaIpolpHj4vsNOSkw22jZ2+hjsOy7Qy43HG5M7HwjAOzdOyLDRNO2x8h+Zkoev63yQiu2No/L26OYS2bR92Ptu2M8e7x/3ad9P4fjQ+Jmv9y+I3h2VhW6ZTYtW0sHTDeYnz6LTsdPVVGzQ9bVg6bG2S2WaaZuY33Ph37e5vmuZh68VdE+5njdfIkWvi1zhE07S/4Sz3uGQyedh2wzAyn2mahmXbGdnBNEyHq9O8a5lGhn8b79f4/EfyROO1+2ucdyQvHInGfNF4X3e7pmmkUqlfPfbI6/zb2CqzyOIfANu0MDGxBBtsyyGlNDHZtiMriDbohpP1r2kagiAgimKGc1wOOlI+cfmo8Xp29znyeey+d+Uv6zD5x5FLbNPMyCcZXrOdPH89lcCyzIztOZXSD8kwliP7uKqoeQSfNuZc9/9kMvk3Y2/MGVZaPmw8Fhfu63g8/jdztm07c+7G12vM40feq793Dy3bzdsD2zaxscAWcZ4wJppmpWU2V90+KlTULP4v8Zsra6Zp0tDQgK7rKIqSWQDRcB2IEuGYBXoKErH0b9EE0Ua3cXrypBLIsoQsyZi2RSLpKC714XqATMlZOW0lsi0ngVYQneIjgiBQV1eXbnzrCAuyLGMYRqYhtEtakiRRU1ODIAiZRZhIJA5LxnUJTBRFbNvKHOtaqUzTIpnUMi0FGgthoiig6zqRSCQjMLk5d+71E4kE4XAYURSdcZrgD/gwTAvDsBAl0ZmfIGRIwzINUvE4lq6h60bmWgCi5Mxb1830PNIWc0FEkiRi0QSRiNMc2w2PSCQSACiKkiFERVGQJClz3wBisVjmM4BoNIogCMiyjG3bmfO5gqN7D1OpVGbbkbAsi4YGJ4Q1mUxmjpFlOXO9LLL4TZBKOCWkRRtEEVmS0eM6lgAp08YwHUFINEH1qCQSCURRzDyMNU3LrCVJkjJc1DihX9O0dK80KbNeXI5szD3uek8kEoetiVQqlVFU3PUkCAKqqmbO7cI9zuv1Zoxb7nksyyKZTKKqKhaH+C9TeCA9J1FMlwewLYe7jEP8LklShsd0Xc/cB3ecpmni8XgynAeOsCNJEpFIBEEQDlO63LELgkA0GsWyrMM4yJ2Dbdt4PE6Px8rKysN4xR2HJEn/2CIKWWTxbwBdSyGIYkaOt3UNPRrBsHTHQy6KCBbIkoiOEwIpimKGU1RVxTRNBEHAMAzi8XjG+OrykSRJf6PIuWta1/XDOEmSJGxbyHCcaZqYhoEoCmnZxZGB3M9tWwBTxzRSjiEoDY+qZJS1lGZgpwunaaaOkB6/K/u556utrUXXdeLxOF6vN8MtBw4cyHCJ25BaFMXDuNoZi51RZgH8fqcBtctVsixjmmbm3ACRSOSw+9JYaWzsQHCN74lEIqPUiaJIuCFMKqUhiCAINroO1bVVxJNRVMULNmmZTfw1H0UWRzF+8zDIxkK6ruvU1tZSWFiILFlEEhqCP0hQrwSgUmlCk/gekGWq1eYUmWHQdeoMP36vF0V2FA/LspFEJ1BH13WSySQ5OQGwbEzr0PWSKZ1YLEYwGMQ0TRRFQVGUjEDh7melFTwXtm2TSCSwLItgMAiQISRXCNJ1Ha9XRZJEDMNEQMIwTRRZRRQd2UY3dDweBbCxbRPTspClw0M6U6kUHo8nI+w0JpBEIoHiDyAKkEgaBLwyNpCIxVEVGVVVwLbQUglUj8fxrNlCpm+JrpuoqjNHG6cuQjJpIAjg8chEo3F8Pj+ydCictPH35gqRsixnhB5Zlg9TumRZzljq3HvZmIxN03QEQMvKPBBc5c7d5gqitm3j8/kOuz9/b3sWWfzTkYqS0JIoQT9mg4Un4HBBTAbdhqAAsgbEkyT9oMoq8XicYDB4WP+ixmvbhWu8arzuYrEYiqKgquph210LtfveMAw0TcsIE+75XQFBFEUqKyspKChoZEQyM0KXaZokEgmCwWBGiPB6DxVkStkg2ha6buCTxYzQocfjyF6fEwYpyZjpnHeFQ5EAgiBk5mVZVkbgM02TVCqF3+/PcJ4bbVFXV0eTJk2IRqMZvnUFHJdfGkPX9YxBSBRFUqkUyWSS3NzczD6NnzuGYWSEsyyyOKpgQlwyiCfjFJggejxg2aRUwBJQRA91+8IESnMJ2yDWVpGTk4PX680oMEf2WLNtO6PwxGIxQqEQAA0NDRlZStd1/H5/hnMSiQQ+n8/hIkUhmdTweFQkwQnpScSi+Px+4rEYXn8AQZKpqa0jEAjg82hgGCD7wPaQiEbxBYPU1sbILwhg4kR02kAk1kBOIAcz5XjT3bFlbkfaOO7z+aivr8fn82UMOclkEq/XS01NDYWFhRnDkMtFyWQyI2c0NDQQCoWc4nWynOEOXdcxDCOzX2OlrPHrI/nPHZvLWc75HCXQ0GU0qxq/xw9WEMSoc4AVxLQdA3s0YhEMqlnn2n8Q/iXK2pIlS5g3bx6rV68mNzeXqqoqjj+mlNvufYDTevelKLoVfH7K1Ra0jG8HBA4GjqckdZDVy5bx2twVvPbyRMe7D4DjchZsG0VRSKVSeL0qVtpC9OMP6/h88efMmTcfWZZJJBK0atWKO+64g169egEOQbkWE1e4cAUiV3lzH/iuJ8u1QGmahtfrxTSdhaRpZnpBS2A7SpIsSwgipFIaomgjyY6nzzIdYSaRSKAoSqaMrqvQgGNJdsegIzrKn2khSyLJlIbfo5KIx/H7faTiUTxeD3oyieLzUlb2KZLq5+J+F6BpFrIipoWeQ5YZ27KJRGJs2bqFbt26YmipjBLrjsm1RoOjlLlCWGPLUeP74sId+8qVK+nUqRPBYDDthbT/Zn6N73tjobKxx1FRlIwn1P3essjit8Bf/ngHZcuW4Cktpr48TNCfQ2lxM065+HfcdOP1NMsJocZNkCU01UBGzHCE651315K7Bho/2IG/WRsXXngh4XCYZcuW4ff7M797d625fLFlyxbKysro3bs33bt35/7772fNmjWUlZVRWFiYERLcazeOInDXnaIo6LqesUC721KAnE6kEE0DSRJZt3oN361bC4KI6vVRH4tx2RVXUlJaimofCidyLe4ud7hzdte4a1F2lbfvvvuOHj16sGzZMvLy8ujcuXNGQXPH3jjMyTUAuedwhSIgwxXuHBsryW4UguvZyyKLowKaRYNqICCQY1qs+Gwhj93/ANU5CiISiujBk1Lp2Ods/vjYA7TJD2XWjrsu3XUbiUTw+XyZtZpKpVBVNcMRqqoexluuUTaVSnHFFVfwzjvvUFRURMqwURUR27IRLANBFJCkQ4YSy7LRLbdCpYhk1iEqMkYKZDkHy7LYt6+au+/5IzNmzkT1OS2yDctCECxEUcLWHJkpHo+zevVqtm7dSrt27ejcuTOBQICGhgYMw+CLL74AoH379rRp0yYjS3zzzTfs2rWLDh06cMwxx5Cfn08ymWTjxo2Ew2E8Hg+JRIKOHTtSUlLyq1y+ZcsWNm7ciK7rXHDBBYRCIerr61m9enXG+KWqKslkks6dO1NUVASQMYKbZpRoPMpXS78lqe/jpJNOpl2b3qDUIosyddU5rPxmMfsP7OS8vpfSqnUzhKy96T8Gv/lXbRgGI0aM4LvvvuO5557js88+Y8GCBVRXVVE2bwEpAwj4QUznPygSKKKTvyZLCLYTtyulw/9kWcQybZKJVMaF7y4MUZKoq61h9OgnefGliYwaNYrly5fz7bffUlxczKBBg9ixY0dGmPJ4PHg8ngx5uYqau5ga50TAIcHHvZ5pmtTW1aCqroIDugG2LZDSHAXG41HTwpKO1Mg64/P50DQNURTxeDwZAccVRA4JZxCN65lwRo9HJZFM4fP5iEYieHw+RzhRHQ/e18uXU1FRgQ2oHkfRs20h41FLJnUi0TiiJPHXv36DaZKxPHm9XiRJIh6PZ4SteDyesTy5xNw4jKJxnoo7blmWWbduXUbhc/eRZTljpWrsVWisqLlWc9fa7z5EGlu3ssjiN4Ghc8UVlzP/s09Zu349M6fPINoQ4dXXXmPuZ4uIxjWQJIgmMNPc4P5GXa+au81dM66Xxw0ZdNeTa4TIy8sjLy8vEyrjGk/cXND6+nokSaKyspLPPvuMn376CUVReOGFF/jiiy8oLS3NWIwb58C5fKKqKuFwOCOMuZ48XdczXEi61Lcgikjpcb399ltMf+stIvX1iAKs3/AT5553HuV7K5AkKaMMaZqW4ROX3xobW9ztsizj9XpZtWoViqIwZ84cFi9enPFEHukZc+9PMpnMvBZFEZ/PxyeffMIbb7yBqqoZbz84ylvjsGpXWcwii6MGgoDolnjHUYRkYMobU/h2zbd8/sXnzHj3Pf7612+Y+dHczDp0jRiNQxwDgcBhnmzXcCpJ0mHhy6IoZsIFXePIwYMH8fl8jtyEgGXjpK+oCrZpADak811FSUJVZGRJQhAFREUCbLRkwpmPJCEIIpFoDK/PaTlgWunoIPFQCLimaYwYMYLx48ezZ88ebr/9dqZNmwY4nrH+/fuzcOFCPvjgA2677TbWrFnD9u3bufbaaxkxYgTr1q3jrrvu4uGHH0YURaqrqxk0aBAzZ85k2rRpvPbaa2zbti1zv1yDlyAIlJWVMWjQIBYtWsTcuXPp1KkTO3fu5Ouvv2bcuHE8/fTTPPfcc9x5550MHTqU6upq4FBUgKZpJLQoN998A9Onv8e6H77l1ttuYs6c+SBYRBJhTu9+FjNnfMgPP66nX7/L2bx5x2/yk8ri3wO/ubTr8XiwLItAIJCx2DRv3pxL+vfH4/GgemHBG1N5Y8yTxFNAbRX7Vq3k1anzIJUk2lBPQ0OECRNeoXu3HnTu3I3PPltEKBTMXMN5ADuZqeW/lLN16xb69O5Nnz59ADhw4AA9evSgadOmfP3118iyzLZt27jnnnto06YN11xzDQ0NDUiShKIozJw5k1WrVjFhwgQ6d+7M6tWrWb9+Pddffz1nnnkmr7/+OgD79lXwxhuvU1ZWxlVXXU2XLl0Z+/QzRKNxPOnww59++pmrrhpIr15nMeTWW6iqqkJRFH7++WfGjRvH3Llz6dWrF507d6asrCwzJ1EUefbZZ2nXoSu33DKE9Rs2A7B27Y88OWoUixYu5Pzzz6PXGT35+IMPQBQZ/+yzbPhpA198sYTHHnuC6powixd/yZIlS/F6ZZIpE59PITc3gG3DvffelbHUuITtWtcahzW532M0Gs0oVpqmZaxy7n1zwyHcz92cG5fQgcMSdN2QAnCUQsuy8Hq9GcHRPU9OTk4mjyeLLH4zGAZaKkki5QgRzY9rTWlRCU2PaUE0kSAYVNn/0yaeePBhup3ejUmTJmVyGBoaGnj55Zfp1q0bF110EbNnz854rvbs2cMrr7xCv379uPTSS/n888+JxWJomkZNTQ11dXUkEglGjBjB4sWLM0rLuHHjmDhxInPnzuX111+nvLycr776iqVLl/Lxxx/z+OOPU1FRQU5ODrW1tQwcOJBOnToxfPhwVq1ahSiKbN++nWeeeYaysjIuvPBCOnTowOjRo4nH44TDYcrKylj7w3oAEvFkupiIE3be0BDmvgcf4OJ+/Zjy2mRuunkww4bdTjKZJBAIHFakqHGeWENDQyYsyQ2BBKitrc0oq+PGjeOxxx7Dsiw8Hk9GwXPz3OLx+N+EYLuCZjAYzChobigWHFIWQ6FQxhCV9cxncVTBFkiXpgDLRLBM8nNCaIaOJdgEgkFan9CKUCiXYH5+xuM+depUunTpQrdu3VizZg3RaBRRFCkvL2f48OEcd9xxDB06lE2bNmVyUDdt2sTDDz9Mu3btuPHGG9m5cyfgKDIlJSVUVVVx//338/gTo6irb8AGtm3Zwrhnn8VKpUCS+H7NKs4/91wuurg/c8rmkUw5ilwq0sCoJx6nZ/fujBo5kuXLV+D1eLFt0DSYUzaXaCxGytTQbScaZ+fOnfzwww8MHz6cp59+mokTJ1JeXk5tbS2rV69G0zRGjhzJpEmTyM/PZ+PGjRnZa8CAATz33HOce+65bNiwgYqKCn755ReKi4uZPHkyb731FjNmzMhEYrnykGuMW7ZsGTk5OTzzzDOMGzeOE088ke3bt3PZZZexYMEClixZwgcffMCAAQPo2rUrBQVOo2v3eEVR+PLLxeyv/IUxT43mkcce5LIr+rN1y15kQeDxkY9SUtyM6e9O5clRT3LcsW349tu1v+UvK4t/MX5zZS2VSlFcXEx9fT2jR49mxYoVGIbBnx95hDFPjUQR4Icf1rFw4SJndPn5aJrGt99+Cx4VUZTYvmM777z7Dk1Km2AYBuMnjKempu6w3AVwioscOHAAXdO56uqrMtbr0tJSrr/+eubPn8+gQYMwTZMJEybwxRdfUFBQwI4dO7jsssvYuXMnyWSSDRs2MHz4cGbMmIHP5+Ouu+5i6NChbN26lWg0yuTJk/nwww/RdZ1JkybzzDPPUFlZic/rZdasWVxzzdUYhs2K5SsZ9cQoNvz0E4FAgLVr1zJ+/Hhs2yYnJ4cPP/yQZ599lkgkQmlpKS+88EJGeXnzzTeZO3cuHo+H9Rs28MQTT2ADLVq0YNGiRTz22GPEY3FAYOrrU4nU1TFr1izq6+vZu/cXFi5aBMCUqVP4y3N/wbZBlgRMp7gb9fX1zJjxIZIINTU13HTTTbRt25YbbriBvXv3Mn78eJ5++umMYrV582ZuvvlmIpEIZWVlDBkyhPbt2zN48GAqKyszuTBuLLdlWRQUFGT6ZO+JAAAgAElEQVSscPfffz8nnHAC/fv3Z8uWLZimyZQpU/joo48YMmQIffr0YcyYMUQiEUzTZNOmTZxzzjn06dOH+fPn8/zzz1NTU/Nb/3yz+A+Gz+dDURRCvnRehO2E7tbU1CKKInsrDjBs2DBWrlyJx+PhlVde4dprryWZTHLrrbcyYcIEWrVqxf79+xk9ejRPP/004XCYRx99lNGjR5NIJKiqqmLkyJGMGjUKr9eb8RZZlkVZWRnbt28HHO/S4sWL+fTTT/nll1/Yu3cvxcXFbN++nc2bN7Ns2TLWrFmDKIps3ryZPn36UFFRQW5uLp988gkPPvgg27ZtIycnh3nz5jF27FgAcnNzmTJlCosWLaKhoYFRo0Yxe/ZswCmaYpompNd1s2bNSMZiGcHjlJNPJhaLUV5ezv79+/nwww8zOWdvvvkmu3btIhKJcPfddzNhwgQuuOAC+vbty4oVKzL84HrYX3/dMXrJssyWLVt44okn6Nq1K2PGjGHjxo1IkkRFRQV33nknXbt25corr2Tr1q2Ul5czZcoUZsyYweDBgwmHw0SjUYYMGUL37t257777MgrkYdWIs8jiaIAAFpbTRkMUMUwTXdfICeVgWemKzKJTgE1Pr4OvvvqKt99+O+P1vvfee9O8VsN9993H2rVrEUWRnTt3MnLkSACqqqp49NFHWbp0aUape/TRRzNGmXA4TNOmTfn+++9ZtGghteln9cGDB/nqq68QJZF3pr3BiBEj2L9vPw3hBh599FFWrlyJnUrxzDPP8OWXX+L3+5k7dy6TJk0iGo0QiRgcqDzI02OfZk/5HgzTQBYcg0s0GiUajdKlSxds26Z79+5EIhEKCgpYtWoVBQUFlJaWUlxczLBhwwiHw6xatYoWLVrQv39/JEni5ptvdgqtxWLs27ePwsJCwDG2uXl9rpLmRl4BfPvtt5x99tkUFhZSXFxMz5492bdvH6ZpEggE0HWd/fv3M2fOHB588EFKSkoyEVvu+TZt3oQoiBx33HF4PB4GDBgA2MRTcTZt3sRFF12ErkNhYRHjxo3j4n79fuMfVxb/SvxzlDVb/7t/qgyvv/YKw24ZRMdT2jJ65CN069Seqy8cwLIFy5Es8EoCWjyCJABSknCsEskngihjKSp5TVqx4PNlzJk/l9VLJ9OyRVOemDCXVKyKdauW8t2qpcxfuYcVGyup3b2cQMkJNDm2UyYvyqnSBsXFBRimxs8/r2fjz+uZ9cF7LFmykEmTJoKgcc1jL7HL9tI2tRb5ggd59ccfeX/MlcR8+bTvfSErVn3D0FuuQRES7IramFY1x+VX06rXdcwqm8M3n75N7ysvZXc0zOyvvmLSA3egbf6eV+Z/w9IvZjDtlcfZsnATu6JrqFO3EvJ148Jrb+HTH77ms6lT8Df4sBN+9vy8gKkT7uV31w9lxefTWbpgGtGaAmZ/MQnNV46SasLlN97Lp+s3sGj6OIykxkG7hFUr53F2z84MvHEwy1d9QzA/lysGDmDIrYMxbQtJtJDFFKKdRBUiNNTuIlq3l6sHDuLKK67hk3kL6NmjF7M/KuOcc/qyYMF8Vq5cgabF+OCj6UiyyeYtP/DG29O54ebBfFg2j1YnnMQHZfPRLNAsG920SMWjKBhosTpEPcK9t17PiV1O5+tPZ3DPjZcyadF6pNgWzM1f8NDkBfzh6quZ8uQdfLP+F75ZvZZP353GlYOG8fCY53j82ef56NMvKFu0jHBCSxe1dWE5f7bplC3OIot/IHyxBItXrOKcu4fz2KDzue3y89m5ZSPNu7Xh8kHXs6RsMik9j+cnTGfBZ/O49tpr2bNnDytWrGD37t2EQiF69erFu+++y/XXX8+JJ57I8uXL2bhxIw8//DDLly9nxZIFHHtMM5Z9sYjtu/YQMSSipowm+giE8rFEBWwD2dYIyiZhtQ3X33olz93Xh4PeNpx17UPcNWgwpcoOQvoGdphBxg65leNsmDhzFiuWTGf+e8/hN1vzybwyovJmbF9Lrr7xXuZ+8iVlC16m9YkSdQc8KP4YQ++5iovO7YtkgWzZSLYIloigWcTroyiiCoYNhsmZ3bujxaIcaIhh+4LsrakjphsYQE1dPal4HJ/Xw75dO6n6pZwP33uXCU89ycuTXmN3OMG++gaSpoAkyuzdtpMDu8qp2L6DYYNuwi+IzJr5PpKicMutQ9izaxfTpr7B+eeezwczP+KKSwfy8J9HEgoU0rfPeXRs34V77roHr+rl6dFjOLP3+cz88GOOObYNd9xzPw1xAwMJA371L8seWfyvhHGQJApJZLBS5An1yLFNDP/zJG4Z8jD33fMQV/RsiWomuPLyPxCuLGfMo3/m3D69WLZiJZ98tphWJ3XkoVHPoEt+dv2yj5NOOon58+Yw5cW/cOHF/ahKacx44s+kflrNI9NmsWHDx8x+/0lSuwuYvuEt9nt/oVVDKTWEeeKlMeTJGquXLcSI1fPqyy/Rq3cfft6yg4mTp2GrQeYu/Jzp739Im3an8smCRWz8cT4rl73HlTdNYMnCiaxd8y5XDb4GUy4ASaZZqIEht16LUtKMoCSj2AaWFad9uxOZO2cWOUEvlZX7ef75v9C61bGEG+KsXfcTF19yJbLixbCgY6eTicbC/LRxPYIg0aL5MVimTXFRM7xqDnV1YT6e8xF79+7hydGPcsPlV/LAnXfx3dffINoitmGhaU54dnn5HmwzTr8LzwG7AVUI06dHWxpiAgYSmgmWqPDK5Ld4fuIkOnTpio5NyjTRbMPxDmJw353Dmfv+bGRTZte2n5j88jiaFrWmumEHsdQ+9lVGuO/hRxh48+8Z99IL1MfqMl/732sLkMXRg3+SZ034u3+JWAwRgQEDB/LCiy+ycNFCPvpoNv6gn7HPPIcoguzx4Q3kINpALIVuifhVhWRNHR6vj3Ynn0RRgQ9JgGBxCW3btmX/3nJM3WD4fX/ij3fdw7Bb7+aeO0dQ1PwY4tEIe3btRJIk9uzZg8/n44cf1jNs2O1sWL+Bbdu3c8IJJ3DKyacQCATo3KULqVSKmsoD+H1goHDLjZehAvklzcA0ObVDe8DmxBPbIAgiqUQcnz9AuCFJty6d8QUUUL0MueVmbMug6mAl365dT5fup3PKCUWQSNKpR0+atGxK+d4KCgqK0W2Ns7r1RMDCm5eHKAtE66F8z15kSWXOrPcZMGAg/ftdQl1DLTu37MRMGdgSnN61IxbgP6Y1qsdDMCCCpiPLToVISXQ8aFcNuIKrrhpIMplK552JCKKEphvIkoxH9fLWW28Sjye47robmTVrFrm5Ibp06USvs8/m1Vdfpbaujo8+/Iihw4bRo0dPnn/+OQ4cqGTixBdZtGgh1dXVKOm4c0kS8fj9+Hx+TF1HkGUmvvgSXo+P116bwhOjRuNXFbDAFwzR74JzOaNPNzr1+R0tmjfjYEUFE196iZsGDeKMHqfRu1dPnnpqDMlEHEWRj2j5nX6Xbv6ZRRb/SBiiyFln9WLUI48wcvRT3HLbbSAK7NyylV37tmEiEW6o5a67b+eifv2YM2cOPp+Pqqoq3nzzTURR5P3332fo0KF8/fXXCILA7t27yc/PZ8iQIU7eluph8C23EE8k2LdvP/l5ueSGnCT7lJZCkkRsw8kd8Xp9yKKNZFrk5BZjaHFKivLAMikuaU40pqGICrt/2cPxbU6k7QnHgSBxUpfTaNexHdXhWixbQhShW7fuBHyQF8gFU0BPGjQpLGHYzUPpddZZhxaZJKFHoxiWhcfrJdYQBkUBnHwVn88PpkZDXQ0+VcaryOm8MpFoLE5DOEIsmWLQkFvJCeVxep++dO3WjXXff09JYT4+rw9BcPoo6YZTOCUQDHLfn/5Eq5YtefSRR/jrym9o07Ytd99zF4GAj1mzZjF16lSKigopKMyhS5fOtGjRnE6dOpJMJvh+7fcsX/4VTz31LEuXfsm6dev4+uuvyTaUzeKoQzqsN5ECDBMlGMITCPHgn+9n9JNPMHLkSG4afCvV1VWs37A33YJH5pP58+nUqTO/O+ccdmzfxsafNpCT4+Oll15k/fr1DBwwgBtuuIFNmzZRH25g3YaN5BeVcFqHk0A3aVJYQrceXfl5/SYSJCluWkJdTR1d23ela9fTKC8vp+rgQbZv38EZZ5zB5i1b8Ho8HNi/n+uuvY7+F1/ML+V7aAjXU3mwnoPVYTqe2gpEBbx+brz+BooK8/F6wePzc+uttxDw5zlPfEFAUVQEQaBZs2YsXryY3r17s37DBoYOHUoo5KewsIB4PI4oQTyu4/F40TUNQzdoecwxqB6FcDhKIKBiYWEYOk+NeYo5c8oYNWo0cz/9lJ27dvH4E4+z4NP5nHbaaZx11llccsklVFRUEMzJwTBMUskUkseHYdqIooBtgShBbW0ETdfo1u00JFHg4MGDXHb5pbRt25az+5zNd99/h21YFDc/hnfe/IDfX3opqurnxpsuQhY91NU10NBQxzNPP857b86gtEkxCxd+fliRNhfZXP6jE795wP6+/Qe44rLLOLXjqbz6yquE8vM5/sQTGDHiEQbf+yAHDjh5DrIkEYnEIDeAKEokEg14CwtQFJWKin2kq0QDoGk68bhGblERY8aMcfoXSR3IyQlSoH+OaZm8Me0NLrngbFq3bk0kEmHnzp18+eWX9OzZk5KSYuLxWDr/waa+ro4WLY5hTWWUWMIpZlJTE0c/zk9K09HTuSay7CTjRyIRPF4PiViM3NwgsVgMwwQUBdPUMv2QOnRox+bNm0kYgN+PEQ6TTCadpPdIhKqqg1imhYQEfj+iKJGX54Ql2sBdd93FuR2LKSkuYfcvpTQ5YadTdjsex+/3owAcrCQejxONQZO8IH5/AKFRySBNM/CqMj6/D8xDYUDJdG5ZOBzmhhvv4vjjj+OVl1+muuYg27Y7SbU3XH89N9xwAxs3bqSoqIhzevfhq+XLuPe+x+jWrRun9+jBsccei88XAEBN57PVVldjk+6zZpoMGzaMKiGPJ269nEsuuYTJK6vAsqiqqqa0XVPEZBJkUFUF2e8nGAw6xQFsm1gCIg0NTlPMrAUpi98QTqVSizalLVFSCqcXHU/bGfNZW7uFeDxOTVUVuaFcPvjgA35RdhGQApimSUFBAZIksWTJEnRd56WXXmLmzJmMGzeO6667DlVV2bZtG506dQKfj++/+57iomICwQDhcAMHDx7E6/UQ8AfYvXs3tXW1FBYWUFNTg+hrSspWaQiHiUVjTti0olBdXZ3Oq0imexJG0U3bUbZqa4nH4+T7/OiGTjKZAtvt/yajqiqBgISAQEKLo6r5YDsFm2xdR8kN0bRpKZ9+uo9QURGuUWbz5s3U1tRQUFCAz+fFsiwi0Sg5wSCWaVFYWEhBYSE5OTnONdKtBkRBpPyXcuIpM9Mv0+v1EgrlgihSUFCA7PchCyI2TihVfijIyy+/zPvvz+JP9z3A/X/6E+++O51EzGkHkxPMAUEgNy+PgoICevY8A7/fj2WZqKpCly6dURSnpUpWtsniqIFhIivg8QC6jKalqDxYQ15eHs2a5+IToNnFF/Pusk00adKEXbu+pa6ujsGDb+PiK6/C7/NTWRsmEAigSNC5U2fmzptLxZ5dzJr+NitWruTqW+rweFR2796NaYOeTKCE8qipqUW1bXx4KS8vp9UxrdBtjauvvpqJE19k/PjxJJMJ2rZty9p1P2CaJiedfDLP/uV5bEEiHosRyMmhYuMsCgryicdjoCngUdm5cxc7djg5cSgK6AYFQRGJdOE320JVFH7Zu5dHH32U2R9/zCknn5IpphaNRtm0aRPhcJLcXC9bNu9BkmVOOPZ4nho9lng8SSiUQ21thNqaWoKBILm5uU41Sy2BpPi48cYbGf3UWLp07sKYMWMwsSksLOCkk9pSV1tLZWUlHl83sE32VVQATZAVsEyYNGkSxx9/vFMoJRKjoKCQe+65B0WVicdinHLKKag+ga+XLuX116eydMlSmjdrCUnHUxbwBzj99NMRZY2YFqNDh1M5eGB3JuUHDrU+yuLoxG+urOXm5nL8CSewe/ceRo95inYd2qNIEovnLaJlyxZ41ST+vGIO1EVZ+vkS6tjEh7M+QG12HtgisaTGrh1bGf/cS/TseTpVO5fy17+u5JrBIzENi+5nnIWiKMRsv1PZUD+V31/cjy+++IInnhhFly6dSSQSzJgxg379LubKK/+AaRmMGzeO0aPH0KVrZ376aQN79+5l2LCR5MgQNVSOK/aRC0ieEH6PSl3VQUQEdN1ElBQUASTJQ0q3mT5tKm2CEXw1e5jy9XcE/R7OOP00PNsu4OM5c3h7yhy65O9iy5YtxAWNzqd050DNAXIKfEgyWGhY0RSiDNGwSd++FzJ79jxWfv45px3Tn++/XcfU6d8zbdowp79Sng9NTyIB5BQiqx78XsAQqKsPs7dhIx99OIfLL72EsWOfQZHgz3++H58qA07fE58/gGFarPn2OwxD47bbhuDzeVletpzc3BDxeIJTTmlH//6X8MLz4xk+/D5sYNOmzfQ4vTt/+tOf8Af8jB37LKXNmhFPaGza+BMVe3+h/0XnYxgmpgUH9h/gp40/88SLb1BYpPLV8q9IRYBgPpbkRTYSCKoXbAsRE9HQOe+CC3nnrWmc1OY4ZEnm7TffdEJks00hs/gNYXh8qB4PMjYYAqgeWh/fGl/1Frb9uJ6u3c9k+ZxNTHv7NVr3Pp7VX33DggULmDJlCg8++CC6rnPDDTfQvXt3fvzxR7Zu3cpZZ53F5MmTGT9+PP369cNINDBv/nyCwQCtWrbENDSOad4UPZVE01KsWb2aFSs7EW8IE4sn0Ow6/IoEci6lRSF+WreGLe3yULz5SGoufkXgiqsHUFZWxuSXX6XnsT5Wf7OKH38+wNm/vxavL49g0AO2RSJuo6o2PtlPMp5wcuueHM1pPS7muqsHosgygihgGwble/dS0rSUDT/+QCwWZ39tDe/NmMVDDz3Eyce1pmJfBbu3biZSX8umDev5/rvvOLtXLzRdI5pM8da773HH7bdTvWcvK79ZxfhXJyHYNnmhEMlkipSukUylaN2qFVu2bmPSi6/w+yuvYNZHs/nwww+Z/s4brF//IzNnziQYDDF37ifohk4sHkGWFHbu2sH27dspLi6madMmtGrZjOOPb8NPP63n4zlzuPDCC0jEk6iqgiBmm2NncZQg3S5IBRAkbFHFE8ojHqlHFpqgaTbe5i2RJJEf1qzkjks6c3afc1i1ZjXHntQeWZZ49bU3uP7669E7dODWwYPo2P4UrhpwJZ27nsbqDZspKsin/xV/YNasWTz/7HiuOiOfjT/8wI8bK5jw0iPIqChBlYb6MIV5BbQ/tSORWIyvVnzNmWeeRbPmzVFUD82bN+fnjRtZs3oVgqTw8ezZtO/QgdtuPJPcgmbMnjWfZqE27N9TznvzN1JaUoBtQV1NNQ8+OZGh940i1DqEJEoYhsWO7du57rrreOjhR5AliV27duH1+ilt2owbb7yBiS++xIYNP+DxeHj1lVc4t+95nHPO75gy+XX+8pdx3DRoMJNfm0xubg6lTUsZOPAq2rZtyx//eDd7tuzk/Q8+oMeZZ9C0eTOat2yBaVuIooBhGvTvfwnvvTeDE084loP7K5j10RxGPPkSpuG0blqzehX33nsPkmgRCPgQBYG+v+uLLImYllN5/L23p/D8888z4YX3CIcjxOM7KQyUUFjYlL6/u4jPFs6ly+lFeIMGn346l4su+N1hX31WUTu68c9R1v6L5g95BYVMef0Npk+fzrvvvMPqb7+loqKC41scy4tTnqK4wM8do8by3U9beWHsWDr6D3LSSScRlAFR4UBVLSefeByrVq7g7WlTEdnHVVffw01X9UaSDQwriSCp+CxABMlTxKiRj3LNwD9wx+1D+XT+p9i2zUX9LmLcuGfTlgmbJ58cw+NPjOStt9+itLSU116bStN2PchRwJPfBDURJpc8TCGIRxLIDwURBYF9+yspLCpGtg0s08Ljy8OLyfvvziK6dzPR4kKeHj2SLh3acdbjo2l/Wg8GP/U6fw3tIB6P88rkhYiCipEENSiAqJGHH7HQT1yPU9hMAk8rXpv6DrfcPZY/3jUcf8DPpTeNoGXhMezfv58GLYyigGOn9pCTl+eYjJUAp7Q7lademMSP339H144d2b5lC7mhAH6vN53X5bjRDcMCBM47/wIWLv6G24beRjAYYPDgm3n1lVe4/fah+P0+hg27nTvvvJ1L+l8KwGWXXcHkSf25Zs0q8gqKaNe+PdPffZdEPMHxxx/HnI9nc8Vll2IhEE8mKW3Vmmuvv5GH7n+AYjXFgAED+O7r5Xy/tBVqqJB4uArZFgCFZk0KsUQYPmIEHfuu58EHHyDgD9Cn99ns2b0TbPuInpBZssrin4ewBT5ZIYgN3lwwBDp27YyyfD5L533CvVOmoY4I8sADDyCsyEUyLN5++206dOjAW2+9xcCBA5k2bVqmh+Lnn39OSUkJS5Ys4eqrr+bxxx+ntDCPPn3OYfjw4RQU5BPweUgm4xQX5vHC888xdOgwXpw4keKiQmTVS2GuiiD4OPGUnhxTspaVXy5k9UkhYkkZxVtMSW6IO0c9RruuHfnjC2+wyhthz55yHhr5Opf9vi+7azYjSzaiKBEMCKSi4JVzCARksCQ2/byFps074vGo2DbYho6hpwjkhoglEwwdNhQbAcnr48WXXqF9hw5IooFfkbC0JDdeey2qRyWUV0DT0mYcOFCJL5BDLJWiZ6/eTojj/X+mWWGIg5XV2JaB1+dBkAQSWoLjTmrLhBdfZOzYsbw6ZSrHHn8CUyZPobioiL59+3LH7bcjiDKnduhIIhGnb9++zJ03h6fGjmHdD9/z3nvvcdvQ2xh4zc2EQiFyc3N5/fWpJGIxiosL/65XLcskWfyvhC0hWaBKgCCh2xL482hSEEJLWgQ8IpgKJ554PK+/Mp47L5vBXya8yE2Dbubhhx5EEAQu7HcJl/3+IgBemzSJG2+4ltXf/JVkPMI1gwbToqSI426/kxM6dOSakRPZuGArtmXx6CPTaVnQkoORgwgBiSZ5JVhY+PPy6dW7D5999hk3Db4F07IpKi7hpRcn8vHHH/OXcc8iiBKtW7fm9mFDKcxNMeujz7j8sof580MzSCQSXHLp3fz448+kElAXS7Bq5SqGDIkjSvmOzdYW+OSTT9F1k7Fjn8EfyCGVStG3b1/GPvMMV131B1SPh/vv/xM+v58Tjj2GG264kaqqat6fNZPbb7+dj9PeuPETnqe4uIjp09/j/vvv55prr8MjqowY8TC/v/xyErEYvkCAWNhpCq4qCqNGP8WzY8dy8+Bb8agKAwYM4PTupyGLUFVbSzIRo7RJEaoiYRgmiOBVnSq4oiCSSCR46+33KCxqwl1330mrE1W2bt3K0Fte4L4/9+e+ex9mzgcbGX7vn4ilKvnD5bfwhysuz1TDhUPKWtbDdnTin9QU+79Iz7YsJ3lKFEklEtTV11ParBloNqYskbLBb9eCZbKfYppKBwCoEUrJjVcjezwk5RwE3WmMGq7fSCh0AqrHj20mEAQBSZapq5cJhcDQylG9LZ2qh6ZJdU01tm1TWlpCIpFIl5g2EUWB6uoqCgqc2GZ/wE9EUNAsKNbL2UhLcj3QIrWLBvlYVAkEQ8cjO7evTlep3bOWm6+6kCvvfINhV52Dx0hxQBbJC+RiAgHdBMuiUvBQbJU790NqSUqpTd+cAlKagU6YYjEApgSWAuwDrxdNLyDRsBef10fSV0hIaiAViSDkNCeugaRCjlFDzPRhKX5y7HoswYuJNyOUaCkdr0chFosT8HvRtSSqR6WuppqZM2dwx513AF6isQR+ny8d453I9I5z+scZGKaOqqhONSbJaRhZWx+madNSorEkgYAXM924WwSnYbgI9QcPkFdSQl3MIl/SwKNSY/ooTOwFn4+IUoiqx/CQQlcKEC2DLWu/Y1/cpvfZPQFYsfyv3DLkFtZ+9y156ZYNh1OT+5POElYW/0Akk6R0jTqvQKkoY8V1RG+QOkWkPllPa28QISyAZVOrJsj3Bw/r1whOq4pIJEJeXl6mubNlWZkS9cloPYYFwVCIlG4hKXK6YquNR3Z+z9WV+wnl5uLxKDTYCj5iKHacaorxSJCjRUFwSmOHxTxyjSgkElRJIQJGNf5QiKSWA3KCg/G9lARPxEhaGDGLvMJoeq554I1i6jrI+UgCJJMaHll0bHG6DoqCntJRPF4QBeKJBF6fDysZQfZ4wYZdu3bTokVzJMWDIEjoms7Fv7+U11+fSmmz5ogiGKZNLJkiL+jF0DS8quo8JwQBPZlEkVWQJKLROMEcxySFYGIaFpGGKH5fENWjEIsmCAR9GIaJrDg9NvMLCrFtHVtUqKqqJzc3CIKEqggkUzqKLB3WoNfF4bmwWWTxvwRmnKjkxwRyY/VgpcAjkFBLkHGs80LDAaLePGzVS46RBEnGtqGm3inXH8jJQZIENM3Cp4pYpkFDuB6PLOLJycMURFQ9BsBBIUBucrfTfkNvStjvFL3IDefTEIjilb0IiSSSoiAgIMjOtcDpTxaNRjFtMG3ICwVJJDUC3gi2oWMapdTVbSCUG8Lja4WmgayAbdeAFMTEQypRR8AXQEQklUji8fnQNR1F9ZJKpZx8NlWloSFKTihINJZA1w0K84Lpfo1OqobTS1YmlUoRCuVkWoqYpolh6IgmKD4vqUQCj89HPBrFHwyipeWnhvpaQnl5aKkEqUSMnLx8LDwkEyZen0Q0mkJRBDwep1WCZVlYtoUsydg4RmeR/8PencfJUZSPH/9UVR9z7L25CRDuKyDHVwEVBOUWQUABEQRBOcQfoICAgAERBAUFkUMRvhxfQOW+r3CEIyAQjpBwX7kg5Nzd2d2Z6e6q+v3RM7OzyW4kSEIw9c5rsrMzPa/smmQAACAASURBVD09vTM1/fRT9VQZtEYneVQ4H20SiIdjgtn4wqfY045RvfihIYkayIR9o26rc/4C/eakdP57LP9gbdCHSIwAI8Az6RxaRZkja9J5ikqykYxNx1hp4aMqW61FN8IESBNg6/KEojLnqva6UbZvDra+BRa9wS7yE0qVj0JGd9ChWgBo0QuIVVqq2gNEpRZhjOL9N17k8EO+w3d+eB4//sG3CTxFr+zFkx4WQajTD2pRQZY0QEtoA9KGLyKPj8av7r9EpgFb2FN5MXkQ6T7okj5NcVpGv9fPoCrbo0wvifBJhE/GFLHCA+H3vey6wX5aa0rFbl566WX+fPFF7Lvfvuy2226EmcbF99di+2qgt42s3VMfLkmoZPEs1feGET7SpH+ksvQIdfoaSzIPSURGxhRKHrlQ8vSER7nq77fS1tZGFJV5+6232Gefffj+Ad+rNX7uwMpZ5hKDlRorDZKwcuLJUFbpu0+i8KP0PR0HHv6S1jWoNMMNYBH9PmWi9rPvExYjkUajrKGk0mfM2F6w6VnbklRkbDoJdCya8EnLdScEaGIMCYosylJpUyvzF5oceGn7gs30Pbm11NdfrX3ChahrEuK6+yoPFBKLoKOzk333P4Arr7ySYcOHp48zGt9T/UpR1b5D7CBhk0j6lraDpceq30MGu1SdSGxl612r4nzOmIiyTL8TQ5tA5RKrBiSkQyVMkUR4aOET1o7VBLbW7vTpa4nSnwaBQeDptB0pqYBM5fiFJE/JS9uPTJwj8dN19//kiUV+Ln4kISptFDrAqHR9UudqH/dEFJHGQxof7ZUBULautRX924zFj+wGKy00UGu7pMUqxzSLLVrdW0s3GFZQOWg1Hsi6dlim+9eaPAhdadf8f7eVzn+ZZRSsfTK1A3ybHgxooVA2fQMb4SFrDYuslWYvCo2nJb5RJHWfV69yvFD0Y7JW9T2u3qDv9HRLTGUBaWPiSsDj2xhTuS7rlk2bsxJzZ77DsFEb1V5MpLooR2WyQQ7PpoU3NKBEZ3o/zQSVg5tefHxj8I2l6IGnBb6RGD+9X2qf6kHMQiVpLab7qTOrCA1kLCA1GpGe/bLVA7+BX2i5XCbMpK+l2NNDNpcliiKCMDfYjhlkd1UO3ioFAED0C9er+0lg60rqe/0juso6rFToJMFTUI40Skk8T9LV1UNTU1NtnfVnkhxneUi720QIIkqiAc9qPGtqzUoRn2ySZqZir+ETBmtLu01xWkrfKkylmZN0g0lPUBkJkrStsbY5PVlTub06ea5CIC1p9d1Ke4v00JUzXsp6dU3IIMEadcFa9TMuav+BEJUz2R5z5i+guaUZISVSVJ67btHKFlJ9NXUvtu85ZExfsDbIWWRR3U4D/Q7mBlp40RNQLrfmfB4ZTOUzI236O1isSD8jAsDq9NtYyKWuh9p3jFY96SqR1fbAKkzlMyeNqp1DWdpPUaUFwtNFiiqdpzWbADIBmVBE4SUSXyuSMC2M5Nls/5XUPemAwVq/zjfVXxY9ahG1BxrRd2utrag/dK51O5QDtVyfQN8+rbVjNi2Alzbi7thnZeP+4p8iHUUMGzUKo8FUJutRKLJB9t8+9rMgKmfD4yhOj3msJQjDz3qzqCQqCMMQoxOw0NTURHd3d21C22Kx6Ca1dZzPEa9SVnxIextKplXcLJAYV9XVcRzHcQaz3KtBDqYvP2UxlbNAyhpMZXZ6aU1d4RJTO3ubCB9pLRhby4Sli6RrTPD7zhYvWvhk0KFN1Yxa+hxa+PiVdSTCHzCtLzB4QQZIkCY9CZIIUCQYLAJBUnkezwCiejZYU00JCi89S04iKXsghMEXMVHlHH0GXTuLbNCQqMoaTHqSx4CtTD+QdpWSA/UxqHv96TK+H+IHAWApl0qEmewgDxhMX1eKgboOWapdikTf6vp6e1UWqJz5S8oY6WGtQIoEP/ArZ60Mge8RBD46icnnc+lAXcdZTkqAZw2+SYgqySZPVAZckPZYRqYnE5ZXTkZQxhJgUMhK9yGDrX3upQVTSafJvl7ISNnXuUlW2wthqfUlFxFJpaVbNG+1pCYlvWHwc4BxHFOKSuTz+cpJGUM5idOKCLaydtH3DIN3TPo4HULqzqn/2z/IQF27XWbN+XwxyFpuxwhZ64qn6OtlY4VKqy3bBMTSHQLWvr5FNXtnalk7hEZWj09kuiXwcTsX1pWgry3VS0wls2YBGwMlEpqRVoAGu1QloQfbkoFyb7bfMvU5t76ce93y1dct6vsE1B/kDPS8S9i6am8BkfZ9SK9r+noyLLnXlPPfZ4XJrNna/2nXnMpw/L6vUNv/ev2ytjIWqv94qXQtpm69S69uHVaD1ZXri6TAK7cZbcBAUjYYWxlugal08at/XfVbZOm7o1J8xdL3uoTptz9qGXhM3fX0X799VL/v+m1n31Xf9ymVSugkDUR1opHKq9u6/nv03xpov3ysx/W9Rq0ThEiPf00SY036d01qWTRLOSpTLhWx1gy8uo+/xY7zsRmozOlT3+7Y2vu+vt35pBZ/3w78Gaxv5yz9n9vWf/Yt/a7XX4StP+jo/xwGUxufMtjWDHSIsyRaazzfI5sJsVpTKvVibTpebdGVLF3Ls+iSS9MCDLSsaz2cz6f0c56ezK6+s/sfAw18zLT4WgZpc+raur72p27Ndcckfdf7txVLfr76deu+1rTWgKVdOJfuS/7jHs8Mfv8nu3XpWsuBj91M3R19x4fuKGfls8IEa30GCzgG+kKtP6+ypPs/6Ru7fh2atKEYfH1SKro6u/ACSazThJAApBAIFg2eqmdF+lqz2hBfmx4kpWPr64I8Uf+c9Y1h/4YO0jPlg43Nr63BWgLfR3lpqRRjLL4fLOU+GtjSne8xWAFWgPJ9olIZqSTSUwglSSoV9ZQU6Cgil8sRZjKsQMMtnZVAtUROLVhb5PP1n7U1g/l3Bxh9h14f65BikUUq59qpa4Qqw8/sgMHaQOv++CxRuYynFFrHZDMZpADlxp46zqdo8XBh0WDokwYtAz9D3a11AdonVR+s9d8KQzVYqwVsnysfd4PrlzOD3O6sbJZNgZFqt8Pqm6suyIijBD/I1e4ulTSZjKIgIGPAjzV4hsK8eTQO8aA8FIBCdiaN5dEAFP0eMiJf6W3TS5J4SAKk1wEmg9EZ8DvQRiN1O8qvbk9ENznKCbSXNXFeIJHEvIMXteFFrXQ3GJSOyEoPjYcQ0GmhtdLjrkcUyMceFEt0tzYTdKXlX0VOEOkIoSAoLKAQtJCEmdrjLAvpUK0AtCYzKYvRKAmRteS0gN4S5AKKIgYvTXt7RuCXEogt5DL0KEu+WitNanQlPa6IEFohUCDitJx2JkckLCZO8BIfkZ2JwodkODFllJRYo5BeJwZL0tuGnyljZRkVS8oqJJI+jTbGlgoIH7q8NpIEGhX4Jq1m2aXa6Cv74TifD5YES0J6vkoiKpe6Bfqu1KoKziGigYhGVKFANpuFRDOfkGwGQgPKdkISUwyHkLWQxCBUEVPO4oeAWojRAZI8qE4MAZDFkhAlEVmVw4q0SIlIGjDevPR6eQiEaVlsG7ciVIKQljJpZVzPQrGy+dkSFDPptmcjwTx6yAd5QvoG1luxAEwWYbIYL6qEZQar07ZZqHlghqQL94ulBssa1u+7tDtmQQQ0VosPmR6KKm0pQkCYMsKWKaqmtGtpfbeeumpu9V9OrsOP4ziOszJaRqc0JX3VdPp/xXq+h9EJ1hp6eopkQkUcp6diEmtJ4gR0QmNLIyaudM+LQVlFqZx2j5NWIAQksSHWCZ4SSAHaauJEp3P3xLqSNbbEcUyiNSaJiWIIKoUIBZJSFFEba2XTxLuQCqsTipFGWwjQoCNIIowMwCrINmBNmSDnIwPojdORaRIBmQye0AjSroVJnGDrytojFBLS3grV01C+B1pDYohNTGITjDWgFOQyfanvSmxtrcXavhFzCNCxwSYaPwjp7u5FAEp4eD4ofAwarcFTlUyatRhrEFiCAHSSPkdvJJBW4Bmd/h2DPIgQ0VugQWmSuIwWGWITELjslvO5JRa5DMT0XaxPHKdZtTAbYq0GachmoFyGviGUAmsMcWzSE0oClJd+3rXWCCFJh9matA2ofLaDypw/mvREERYSQhLSoj892tBrbG28WS3rNcBJcG0rpe2tJRdUqtDqvjGemiwWBZXi/cYCVpMIKmNrZS3bvfg+W/JtCYoERWBKtbPgsQjxTBnPlBHWoIWkLEI8mwwytsNxHMdxHFjWwZqoXOq+iIu9venEynFMPp9NM21KoAR4UuDlQpJSTxq8lCJMAiqEKI6JNJTivqpinifxlU+SWMplMNYiKgNffd/H9wKkFJRK6XxBxmgCH6IEhLDEWhMGAR5Bela9DOUkSo+qjCYIFbGBuFhII8ZSN1p46ezT0icrFZTL2O5upC+JdKVLUamE8BRdXaB8RbG3iFR+5dAI6EoDKSlJy88LwPOwUYQXBHjSwxMeUsg0WAOiri6UlMRRhE5iBOk+E6QHezoxJDpGKB9tIZPNpMvIvqIeEoXy0iqQ6QTXAiVkv6Ig5ahMJp9HGkM2iQGFFT6oPI3ZkABNNvCJRA7rL5/y5I7z6asO1F78pFK/8w+ir0tQ0hvhewFz5/fQ092NLhdBQk8RwhCiqDKuUimklJSKCVqnn/FKU4FSfRNkS1EpXU86VtNUslAGD1Mp7lEN1pJiGU81oWQjUXepso1y0DBTCS8dbRvHGDSlpISU9QPms6Rzj9k0WAOwGi1BS0g/94MFawNd+iRCkQhFaMtYIbFCEssQ30b4NkJg0SgiGeJbjcJW+oz3z6ot+myO4ziOszJaJsFadXJrg6zM+aGofuVmMyHFQgfKk5QLXez1rd0449RTKScaI6BkwfNg9rtv8P1Df8z2u36H92Z0c81V17L9rvvy45+eTlIuoWvdC9PAKwzBlz6qUvfdVAbYSgnZXB6lPHp7u5g1KybjAbaMtWkwVsZghYAc5L0cUkiEL+i1acHFllzCrZf+noO/9Q1emzGbnlL6kgoLZvKdnbblm9tvzXsLAc9gTAy5PMce+XPGnTqOOXPm0djaSJIIFJADaBqGklAuQmIMRHEa2+ZyaB1jsfTGRcpxOuHjg3fdzd7f2Yenn30WPxuiAh9hFdImKDQKH89XRLYIUlXmJoNioZAeCBqITDovkTH0HSxKSWJjwNKxMA00pbAUDGiZQHEuiYFISubHgO6ArllgYjoEdAFK9y6Lt5DjLGOKdGJRxaLNoLUmrbwlNOmsPzEQ4al2Hn54Egd9/0fsv/9+bLnl5px87I8pRT0UY0smI6G7m5eeeoqtttqeLbf6Iv/zP1vwq1+dTqEAmSzM71iIkh5JApFOgzsBBErh16ooeulFAARAgJ8LKJQiStoQNFQz7ZL+p8L6FJNSem8QUCr2kvUy6DgBEaUXAFEC1VF50Qps0Jek081L2HdLzkhWQ+AljbHoe2R1XEp94Ow4juM4TtVyH9ltrCXb2IiJI1566UXmzZ3H+PEPkWhNT7GYDtfKhFxxxRW8/fbbhGHIkCEN3HDjDRRLRdZbb116i7214hJpVkgRRVCKS8RJhNaghEIAcQKeUmAtf/vrX/jhDw+pbYvvgSchqMsPaaBUKhH19uKJyg5KYl579VXmzJlDJgzJ59Mei9lsjsbGRjo7O5kxYxYIRalUBGOYPHky+++/P8OGV8Z9UDeffTHN9IVBJXAyBtub3qakh0SS87P4vg/FYtqdUhsSa4jKZUyi06RlZSLGREOxVKaxoRGAqNJ9NJvN1gpnBjItHCJEpQslafdQT3jEOubaa2/k9+dfzJ//fAknnngmc+Z0QS5LsVhEkgbQFIv8+Q9/ZO9vf5u/XXkbczvckFfnv48QiwQM1mC1wWrNb3/zG+bOm0uhUGCV0aN55l//4nvfO4AXXniRKI54YdIkTjzxBJJEs91226OUx8MPP8z706bT2wvtLe1YLL4PgQpI9MevHHnGGWfw179eAaQ5tTgZfJ7BrJcB4OWJE/nhoYfywUcfEASfTvEgx3Ecx3GWH3XGGWec8WmvNKHvIL4vpEpHiVmjkVJSLpc5/eRTaG1uoqujg/fnzmX7r2/P/EKRSff/k8cfe5jVNtiMAw79AW+/9x7/mvAgJ/xqHFt+9cusMSLPkxOf4+FHJjDhyfHk8y2MGjUczzOUSoIHHpjI+Edv56XJLxP4bbS2N/Ly5Mk8+ehddJWHk8s1sMGarfTYDE889Tz3PPgPZr07j+EtqxC0ZvGISUpd3Pbw8zwy4Slkx5vMnjKVWdPe4ctHnURr4BMZyHmdBIUepr78Ao/MKPOd3behOfC55867mfTyy/z8Z8eQxGWeevoZHnhwPB0dXbQ0NtLQ2MKsWbN58omniH3Jg3fejcEyfGg7Dz78IA8//hhvv/c2I4cMo7GxhXxDAy3NTWz61a1pa8jz4ewPeeDu8Uyc+CDz580mE7bR3JZhQWEut9/1OPmGgJtvuoFXnn2FINPI8JHtlJMOps2aQce8gNa2NHuIBSGLTJ78Er87+2/stPNXGTI0z+jV1mX9ddYkF2Tw/QxGG7o7utln52/Q2NzGnvseyISnn+Oyi//EAd/dm9AdBDqfc5XCq+l1IUhP21iwMVpHaKv56eEnE9uQf9z6d477yQ/Zd99vY+IC9z75L1566Tn23n1XLv/j+UybNo0L/3otR/zoYA45+CBeevk5Hn3kefbaezc6e+fyzjsfEQYtZLIaaX0EHogYqxOQAZ6NUGhipcjYHnxiuo1Pg+lhvdVXZcgqayBEJScoQViLsJZEpmdmfG0pe4YoKSNLCZdfeyVHHXkEoaU2ZY8XKywWLQUZHYBQJMonwwf4FEhsI0r2Iohh0c7Oi56hWSS2VbqAshG9qpnAJggMvu2lRzUSyxBPSJQtEeoCiWrCCLVY2ZK6Tqn9fjOL3eI4juM4/92W+6TYWickxRKvTZ3K+9Pe55en/Yrzf3suD993P0f99DgW9Gp+/csTAeia3sNLb59DkiQ0JSGnnHkGp576S9549C0uvvYW4jjCUOD66+7k2qtvZv0NG/jtuedz8z/G0zq8GykVl11yO/97zcX879XXMmXSM8zs/iLn/fZKtln/SHY+8HQyYQbrvw8dgquCqznzqmtYta3IYd/7Nu/GqyGl5MHuZxhuc0jPp1Qqk+RyBAEIK9nt+wfw18su5e3Xp9LTLQh0gatuuJkvfWkLRDSfb3//MObNnYeSIVHXAjKZDPc9PJ5/TXyECy64gI+Uzxoqz6GHHcrJJ/yMotR8WFiAsZZ7NriVf95wM6+8Mplzf/87/rTlZsx+701O/MUv6JxZJpebS1NTEws6hnPVDX+kcZThlHFn09ZoCVUPDVEr1113C/c++gB+NuBHRxzBWiN34S9XnEUURQihUMArr0xm/fXW5bvf+SZWFfDVKkQSOjS0SE2gS0x95BZmx3mOOvX3jBjWxtZf2oJv7vZNXnn/Q74ydp3l/TZynGXGGAM2QSoPCygv4LVXXmbKK1PY70dH0NQUgI1QQcCPjjmGf83s5emJE3ntjdcZMWIEQggu/vNfyR/7Izb5wiZccumllEo5lA/33f0Q5559GS8+9yyxLqCED5HlsEO/x+67787uBxzGglcnc9xxx3HyjePZtKGLSXfdxcstY2l9eyqysYnurb7OTf97PeuMaOGkcaczrKmV6668iuwaqyBRPD/hMfY64UhGj16FfTbbhlwmJC6XSTD89g8Xc8stt7CqzbHbj3/Idw8/jPZ3n+PPd7/AnscdwRg7j0f/8Q9eMzvxk+9vBsBll13CYYf9mLvvvpvzzr2AlpZ2jj3mWHbY4RsorzKsVoA2CViLikr88vjjGfOVPTn8gD0BOOOkk/nxuD8zZcoUJtzzT5KO2Ux//UU+iBq48eZ/0jZ0aF+HVFuZbBzS8cOi2qlSuEy+4ziOs9JZ7t0ggzAkbGjgpJNOoqOjg7Ebb8wOO+xAFEW8NuUl1lqtjUeff4699tqLHXbYgUceepjbb78dsNx9913st/du/GviRLbeeiueeOIJXpz0Iptuuim//vWviUzE0888w8knn8zEJ57m/vvvY4P11+eiCy/iTxf9iR133JERI0YwfvzVTP/wQ7LZLJtuuin33HsPl1x8KXEc85uzfsNbb73H5FdeYciQITz88J3ccMstfPTRR7S3D8F6qu+sbqIhDNlhxx3RWvPaa6/RWywyZcoUxqw+hksuuZSOhR1ss+22PP7Eoxx99NEopXjwwQcZNWoUhUKBzTffnGuuuYavbfs1hBB8a489eHXyq9xxxx10LOyg1NFBa2srvu9T6Ori9+f/ng8+mMVf/noJT78wiX333Zeenl5emPQiIMjn8+y8yy7c/8D9XHfttSRJQhTB7LmzscaAEOn8akGAABZ2LuCN199gyiuv8LWv7cTuu+/O/113PSYxVHuD2XKZl196mZEjR7DKKsPwfY9cLkdjUyO9xeLyfgs5zjKVFgRJU1DWGLSOmf3RRwAMHdqAp0AnCTaKwBj+Z4stmDNnLrlMlv3324/m5mZef+11jjzySLbeamt+c/ZZZNKCjoRhSFtbK9OmdVMslWolQtra2rjyyisxBq699lrmzp3Le2+/CXHM/179v5R1wIsvvMibb76JlPDq1KmcddZZnHrqqYzdeCznnfc7Cj0FwPLbc87hF784kWOOOYbnn38eayxKKa659hquueYaTjjhBA486CBuvOFGpr77DiqfZ9ILk9IN1Jp/3nQTU6a8Azph9owZvPb6a9xzzz2cffbZHH300YxZfQyn/+p0Hnn00bSqZaXqbvV5UIrjjz+em2++hQ9nzuSRh8ZTKpVoboBZs2Zx/333Uy5HHHfscQgBl19+JdpCYqpjkFmkyovjOI7jrLyWSWZNLfK77JtOFp1oxj/wED3FMi1tQ7nrjrvAC8l5PhOffoEvbvc1SErEhQUEQ9alpDvJZKBFNtDanicGpr32BhutviF/uvgSMrmE7p5e3n3vI6ZOfQ0pFd/d71uU4oX4fsgFfzwPK8pYYNjQFtpaWjAxvPfua3QVyjQ2t3PpZVeSj306CnOY+14LL06awobrr8lFl1xEYKF5lXU47NiTufyyy8laQ95Li0NaL4dINN875FD+Nuks3nzheR698TXaRq7F2LFj+d2Z11BKIJPP8/sLLkF1zqLBE0yfs4ARLQkNecPBBx/CsFVG4vseO+ywI7fedhszF8xhyNAh/L/jjiXT3MzMD2ahfJ9eEzH1jVdZf6MN2PQLm4H+iIN/sD+TX1a8Ne1tNuwaRiIzbLvd9rQ0NtAyLEfWzxLFltaWIdx99/2EdiQIjTYWKQXZMMPoVUZx1FHbsf0Om/HC5AlccenVyMYWdt3nm1AsIZRFFDvJNLbTE0NWGlTcQ5aYSITL4i3kOMtf5eSE1joNOqxFCA+jNZ4KCLOGQndHZRlDWl81ZPq0jxg5YgzlyNA4cgh33HcfEybP5K3Jz7Nw4UIeeuxuvnfgT7niiovZY/e92ekbe5MLM2ATknKCp0KO++nRfO+AA5g2bQaPPvoMX//6brwyZSpbZ9bh3ffmceTWG3HnXUNoaR2dlkVRkptuuZ1hw9vZaM21OfwHP8RTkocfH8+WW32Jgw88BINmdZvj6DNORgl48bnnmfDYkwxpH0K23A2jR3LWuN+x/SUn09ySJynC7Lc/4MMPesgMfR9EhgceeIRNNt6YQqGA53kUugoceOAP2GOPb7PO2uujKgV/S+UymUxAFJfB5mhfaxP2+8oaHHPCKcz6YBZ/uuo6GnQPo8R8WnIep/32fBrbhzBh++054LCfEVkIRWVqFgFGa6Sn6D8vgcusOY7jOCufZRKsydp3a3UkQmX8R+X/M878DSBpbG7ljnsfQAhJaybHYw9P4NhTfgaBokHB7JIhVIKC7oEeTWJLlI0miDV7fnsvstksI0Y1sPNOJUK/jaJ+i/kLFiIEdPf20tbcxsxZsyj0fEhrWztdnfNZZeSmNOQhigp0FYoccsiPaWibTzy/i58cdCgfRKOYcN8f8JRFxt00Bc10J0088/osaB2NR4LSoBJIgjxe7wLa19+EnbZYm79d9AfWWm19tMiz3sabYsoFhGpl+298g43HbkX8/gv89PDD6GgexrRJN5HLJqy+xhj8MB3z9Ytf/YoDjz6cF6a8yFVXXcVt1/2DVZuHMmTYMKSnsELQ0trCtJnTyAQKbISXD/hg5lzWW72ZTFPAnAVdBNkMkICGJE5obBZ4fpaSTouFSKXo7u4m4wdkMlkOOGB/WvIbYGwna6z7HSLWZM5Hc2gEEB6oPGM23ooFT15Bo0ool2L89tX4KM7hm2hZvIUcZxnTpCOgqhUI+zoZSKnQSYJSHkJYPN9js02/xILOacyY9T4AHQs7aW1tZsH7M7jj9vHkc63kMs0csM8+zJs/nwcnz2D7rTcjKpdpHpLhyqvGM/HpF/nqN9YBkUmnVlQ+hD4YGL3O2nx922154K7b6MmswjFn/pE//uFn/OLxqWz67ePZqKmHq7PrkRSbaKTE8JY8Ta0jQSXYJKlN0TF3zhxGjhyBRKCxjFhlFG0tLQhriYpF2huaySpJQWhWHdqKN3MacdPq/M8XN+bZm69g2ocxm+9+Ii2NvUye8j7X3nA3f770fDZYf2N23XU3Hrz/MU47dRyzPpjFmWecyahR3yKblfh+2oYpKVGeIin1sv6663DxDQ+Qy2UZOWo02CIg0NrQ0NCUVvQNfYIwxFTKQ1pbnVLSgJX0m1vSDVRzHMdxVkLLvRvkBzNnUeguMHLkCK699loeePB+7n/gXn577rmUymVeeXM+kM6Tls1kAQiDkDAMkVKSk1lWWWU0r776KmPHrkMul+POO+/k17/+NUOHDqW1rY2Hxj9DW3MbAOecczZPPfUkvueRy+d48603KZVg+Cqr85BtXgAAIABJREFUMHzYMO5/4H5GtI1g1KhRbPPVbTjl5FNYddXRLFiwgMsvu5xyDHEp4q033ySK4nSofQL4oE3fJLPbbrsNuVyOBQvms/HGG9MUajbccCMSnTBnzlzyOZ9hw4axxx578NjjEykVixhrUUE6eP/1qa+y6frrc+8dd7L917/O36//O0OHDmXMmDEsmD+fQqFAPsgiRDqB9xuvvwdS8sS999LR0YHve/i+z+hVRxOGlWxX3iefz1MqQTHp5eGHH+bue56lu7ubhoYG/CDgpZcmseOOO3HL3+9HKo/erg5uu+32vop4fgBC0tDYgBCCh+65hzCbZfz4CSilGLP6qsvjbeM4y40QYCpVGpMkraza3NrK/vvtz2233cbLU99h2MiRmDjm5z//OUZrOru6GL3qqni+T2NjIy+++Dy68thZs2aRJAlbbrk57733HrfefhdxDImJieKYUmc3WMtuu+3GTTfdxI477kgcwby5c3njjTfY7mvb1bbH933iqEy5XCaTFnwkk8vR3NLMwoULWHe9dXnjzTfTZfF55+23mTdvHr7voTyPuXPmAJDP5nnn3Xdob2+nXCqzxupjuPjii7nrrjvZYostaGho4KRfnMTcuXMZNmw4F154EVdffTX77rcP999/D9tuuy2XXHIJQSDp6UlQSlIql1FKYZMELwz5v6uvZty4cWht+Ps/bgJjaGxqRACzP5yJX+mC0d3dTRxDXFdlJJ1/0kVnjuM4jrOMCoykBym1cQeir/PKxKefIczm+f4PDqFtyFASrZFSsflmmzNqxEhu/Ps/2eG4r6BLRUSjhyAhintRCUhjSWzEAd8/kMP/8CfuvPNOGpslCxdEjDvtTFpaWtjvu/tyztnncPX1hnK5RHN+HY486idYC+1D2pk140N23eV4brvhm+yya56rr76O+x/9G35PmR13+gY7H3AQm2+YYe+9v83N9z/Ed/aYRG9DE80tIygVYoQuk6asBImXIWyU2HKZnbb7Etdd1s70GT0cc9xRaM/j5NN+Semy2/njhRdy880P0PHyg2y//fZ8acvNmT/1XYq9C4nLEcYY1lxnLY466iiuufYaHp/0NNOnT2fdMWNQYUiQyZDL5QhyGS657FKuu+5ajvnJLxg54l3eeusttvzyOfxgv91ZWH6DUqSJ4gSLRnQnlEtlEg0m0fzxjxey7ujd+Na3vgikXY3Gjt2YI484nH/8/e88/8L9vPH2RJrW+S577bUrdMxn572/z6GH/5g99/4eh77xElef/yueeOIJ/vHsDPb73tGMbMotm7eQ4yxTlr6Mf/WcVfrTVMZeWWNQlSkvTKL52S+OpgvJjw8/hJG+xJYjhrW0cuD3D2XfffelvVUy7uyzuen66zn22GMY0ZTD931KtofTf3UW1sL706Zz4UV/Ytcd92RIq0QhCJryEM1ly69tS+sFF7H1N/dDtMNGrSVe2Wh3xnx9fVQykffiYTQO2wTfLsC3EV0RNMoYYS3Fnl6y2SybbLQJDyrJ8aceTxiGFCa9iZKSUrHID394CIfsvz9bbbUVHW1Zel59nSvOO4c5mSwbbrIa6/of8Fx+V9b46jas/fZMzr+4ix8d8TMaGvKMHTuWv/3tb5x22plEJcPsDz/iiCOPwhhNLu9hTJoSM9Yg9QIuOG0co7+8N3t9axe+tOlGnH7yCUzd6Ru8H7VQNIo/n/tr1hiSZfyL77HngT/Eq04rJ6rj1kQ6GG7RWRSWy3vDcRzHcVYcwtrP50jucjmdMFpKWbtUs0GlUolSqYSUknw+j1KqbxzKAAqFAr7vk6meqiYdMF8sFhFCoJRCKdXvOZZWd3c3YRimc6fVPQf0n9epVCoRxzGNjY2DrsvadI40ay1SSjzP+8TbVV2fMQZjTK34yJKW1VrXnvs/2SeO83kSJRrPU5RKZboLBZSUtLe31S2Rjq+y2pAkCR0d4PsB+ZaP8MXIdBENVvQiVBFoBKPSi9dZWceSJqP++OI4TrPwlfar/nZgwPsGY0ya8rLW1tosay1CCKZPn04YhgRBUGtHy+Uya6+9NlEU1doSrdMpWyZMmMBZZ53FfffdR09PD01NTVhr8bzlXpjYcRzHcT4XPrffkNWDDCHEYgFDNSCq3le//EDCMBzwft/3awc1/2lAEobhxzog8X2/ts2DqR5kVQOmTyNY+rivs365T2O/OM7nheelbUQ2E+IpNWgvvernoqU5REqQ0lvuKaHBPp/VtmVpPrfVx9QHa9Xbf/e73/HCCy/Q3t5OsVgkk8mw6aab8pOf/ITVVluNcqVrpJQSay0LFizA8zyCIHCTdDuO4zjOx/C5DdaWFPhUDw7g4x2UDHbQUJ8Fq6qeUV5aA61rINUs3sdZ7tOytIFXdTkXqDkrk1pFeQGBn7Y//bPjoraglApZa6K8vomcBQghSWvm9i2/eA3d/8xg7d9/0m4s2kZEUcQf/vAHcrn+XaELhQKNjY2USqVabwVjDOVymTAM2Xjjjenp6SEIAqy1H7vNcxzHcZyV0ee2G+RgFu1aWO3CA/zbjNWigdhA3RQ/abD2cR7/n67bcZxlx1QyS1LIWlat2r70BTLVyZzB6HQh6y1EmNZ0RjULiDLICMiCkWnVQ1WdrzC7zLb/025ftNYYY1BKkSQJSimMMcRxTDabrd0mpSRJklovgJ6eHjKZTL+A0rV7juM4jjOwz21mbUnqv/g/ThaoPl6tP6BZ9EDsPzmoGOw5Fr1/oABx0eUGus8Feo6zbEkhahUKq23D4ieA+rJlolbQ0K/dnD5MIlFAfcXDZZ9Z+k/broGydNWMWLWLpO/7A/YiUEohhCCOY/L5fG1d9ePaHMdxHMdZ3HIv3b+sLXpAsbTd+xYN9D7Ns75LWt/HfZ7BlnGBmuMsY7YyN5vRlXnA+o/hsotcRHUKNzK1Kodpes1Lb6vO8SYAgsplxTRQ+1It8lQqlWpjcufOnUsURXR3d9fG3xYKhdoUCL7vE0V9czPW93xwHMdxHGdx/3XdIKH/QPhPGmwtjwzWv8uiLW+fJKvnMnrOSsMmWGMRUmKMRSqF1qaWXYrrKs5qY/BlGsgEQYBOLJ7vU53kWQiBtaJSJEigNSgFlr7PU307NlgX7uoy9UVAqgFQtQhRFEWEYVir5Fo/3jdJkv+oEqMxpvbci66r/vm01mita1m06uNc++E4juM4S/Zfl1mDviqQ/0mlxOWRwVrRxmr8u+0ZLCPoOCsFrYnjNCsklUQnujZeC6qFQ1JpvGTIZALKJYvnewgB3d1dlXFbmlpNEgFKQhLTL1Crlrv/d2Nt0+dLC3jUTzXS2dmJ1powDCub3z9QM8bUfv+kGa76bVs06BNC1G5TSvXr7vhJqlI6juM4zsrovzJYcxzH+dQpSRD4gKHc24vRMWBRnsf8BQsRUtDR1YshzayVom4gJvB9hLCUoyJhRoDVSNJy/gIDJGAhKvcfJyulJI7jft0GF1VdTmtdm3tRaw1Ac3NzLfPW2dlZy9JV73ddEB3HcRxnxeeCNcdxnDqD9Qw3URmEYPbMmcRRhDbpct09PbS1tWItNDWlZey11mSCkIWdHVSr0peKJQI/oFTWZCtFH3t700CsowNyuf6ZKiklvu8vMajq7e0lSRJ836ehoYEoimqFPOI4rk1S3dzcjO/7aK3p6ekB+mfxPk72znEcx3Gc5e+/csya4zjOJzXQFB7WWkzUzW9/ey4P3n8/fiZHFMU0NDXzzW/tyR577EGYzbPn3vvQ21tESEmoFmKN4atbfo/Tz/gJTU1NnHPuabz/TidXXXEFUWzwM5oPZ09nz91+yjrrrMN1N/6hNparGkQtKZCKogjf95kyZQrvvvsunZ2djB07li984Qsopejt7eXJJ59k5syZrLXWWmyzzTa1dddXclzRumQ7juM4jpNyp1Mdx3HqLBqoaa1JkoTLL7mEW/75D2688UYeeewxHpswgZ6ebi699DLOv+ACwkzIwoUdbPKFLzD+4Ud45JGHuPmWf/L8cy9x5q/PwPc9ZsyYRnNzC4JKFs1alCfoLhTxvAye52GMqY33qgZugwmCgDvvvJODDjqIu+66i5deeokTTjiBrq4uOjs7+ctf/sIpp5yCtZaTTjqJm266qTb3Wf24ONcl0nEcx3FWTP+V86w5juN8WqqZqP+77jr22msvRq+yChiNNprzzvsd/+/YnzNp0iQKhW6yuRyFri6amzKENBIEAVtttRXzOqfQ3dNDGIaVUvbgB2ARGKPJ5fPEcczChQt55plnEELwxS9+kfb2duI4HnQusmKxyMKFC9lss83461//ipSScePG8fbbb7PZZpvx6quvctNNNzF69Giy2SxXXnklO++8My0tLQAUCgWam5tdVs1xHMdxVlAuWHMcZ6Vj0Bg0Ag9R/VdNLlkLtgxSIUwBX0a88Ny/mG2HMnLsNvSGDXgWZOCxxRc358nHHwKgWIqROsHGEe+/M4OmaCYfzZzJw+/P4qDNViM0MevaIpO1x/wsNGgITS/DS13MaWykMZfDxgV+edqpKKW46fa7aTQW6/l8NGs6PzrkYHbZZVcOPOwIHntiIv/395u54o9n0Jz1KXV38sY779Le1s7c7pgSIUUrUUGWWdPe46EH7mXNVUdy+XV3YXMhhRg8acg0NGNtghAW0GArnS1s3STdrv+F4ziO43xmXLDmOI4DlcmpwWqLUCoN2pCYKGHuvPmE0uKRNppSgNGGMAihkvXqKXaSGMuMDz5k3/0PZJSZhTGG0tBt+fkJZ6KTBCMVDQ35dDpsAViYv7CDTKDwpKWxqYmJE5/GWoMMswhACWhpa+PKK69k191247GJzzJj9lwefXwCWVFi8y0258zfnM1ee+3NmmusyfyuHn57ztm8++77PDXxKUJittt+O/5y+eVs9nYPPzvuB8QRKCWr074hZWVj6veFG83sOI7jOJ85F6w5juPUsVTiNiFAKqQIGDlyFE1NTRS6OwHQ2hBHZRbO7+KnPz2aocOG8stTx9Hc3Ewmk+FHh/+E4KOXGTlqFOpL+0MmQQHdhW56yaOrT1aZD61Y7EVrjR+GWC0RKDRpUFgqJ+QzGYaNHs2vzzyT3134Z76zz3fxFFCKuPWWW9lkk004/azzaG5p5qRTz2DcuHEcf/zxtLa0ct5555HJ5xk1vJ39jjyTI474AQ1Z0Nriq2phEReZOY7jOM6KyHVwcRxnpZR2flycVBK0pjZrtQpZa+31Kcz/kLmzZuABhc6F+J7Hq69OZc7ceTzy6AQam1spx5ogk2PPvXZl7x8fyda7fYu1RgZ0zpmL7i3SMmwk1hoypBmzcjHhw/kdiKSEMmVK3QV8z0+Li1Q2Lgw9egsF0JpisUgUxUyfPp1yBAQhXd3dnHrqaYwaOYJMEPCtb+7Eh7NmMm/OR2yxxeYklXnVtLbksj4CiCPwVPr6y6Uytdm5a5f+Vx3HcRzH+Wy4zJrjOCuhJUQiAoy1SMBoi/Qk+dZ2Lrzg95x55jiEiVl33TXp7ilw44030N1T5PzzLyCKIrq6CowZswZJAmgDnkIn0D50GAAH/fAwbjjoGE459XesN6qRrOnlxisuprltcw475CDKUcyxRx4JAn457ixGjxhKkmg83+dXp57Kyy+/zEV/uoh/3nInF198CScfcyi+H3D3Pfewx977kstlmDjxaTYeO5a11lqTBfPn8+TEiWy80Ua89trrrLvOWujEEmYFWlukEoRhWCnf33832L7d4TiO4zjOZ8QFa47jrHRE7f/FQxGtNcrzsNogPR/Q6Chil52+TqDgl6eewh13dNPQ0MgmX9iYM886h6FDhtJR6KGpuZme3p50rUEIxRKZPJjeCCklLWuvy/G/OJFzL7ueF+MCSdccvrLZ//D90y9jvbWH4nXN4dnnnkVJheelRT58T3H/vQ/x7HPPcdWVVzJqjXUZNnI1dtjlm9A7h6OPOZaDDz6Yf956J6VSka9sux1njBtHJvQ46qijOOYnR5DJZBg9ajjXXn8roZ/GkcKmmbUoignDALAsFrE5juM4jvOZcpNiO46z0rGVf9We4IuHbabuZ3rdRiA8j6hcorO7C6kUbW3tmMo6Fm1IPRsDUBQ+2cp1TJFEhBSKEPUWyPmCxsYsRZXDAHlbxIosADFQrcmobAK2sk0iQANGgK9jLAKEqNsO0fdijEHYygg5a9B+CJVXLep+LppHs3V7oK4upOM4juM4y5nLrDmOs5LqH57ZAe/rG9YrPAVYgkyG9sDHCoEZ4BEAwoKtPLbfwGChkELQmPOxYQtKWhCVJT/JaTOpallCWRdo1RJkUiIQWCzCyoG31y5+o/2Em+M4juM4zqfLBWuO46yEBi4uUn9/38/KdWOwxiA8hVQeBoi1xlOLZ+cEYEWak1JQFz0phLUoaRCeBCzW6HSWgL5E31K8jLpgcpGffb9USqmIxZcR/RescYGa4ziO46wYXLDmOI7DwAFKelsayCil0vnXRNpF0AJK9TWhEtvXVdFaEpHe56Nr60D4CDTYGITCIrEyIFPNeS3jKKmaC0wDy8U7f9q6ny5gcxzHcZzPngvWHMdZyS0aloh+QctiS1nQ1mIFCFGfoesfrPU91kD9eDJIx5FZgRECK6B/B8Wl3/JFQ66+ocjVedSqyw4Ugg2cY3TBmuM4juN89lyw5jjOSqcanixtQGJt2vOwGqT1D7Hq81Gmbt21abax9SPLBCAqgaE1GGOQS9kNsm/N/W+t3bZYdcdqrtBVfXQcx3GczwNXDdJxHMdxHMdxHGcFtLTD2R3HcRzHcRzHcZzlwAVrjuM4juM4juM4KyAXrDmO4ziO4ziO46yAXLDmOI7jOI7jOI6zAnLBmuM4juM4juM4zgrIBWuO4ziO4ziO4zgrIBesOY7jOI7jOI7jrIBcsOY4juM4juM4jrMCcsGa4ziO4ziO4zjOCsgFa47jOI7jOI7jOCsgF6w5juM4juM4juOsgFyw5jiO4ziO4ziOswJywZrjOI7jOI7jOM4KyAVrjuM4juM4juM4KyAXrDmO4ziO4ziO46yAXLDmOI7jOI7jOI6zAnLBmuM4juM4juM4zgrIBWuO4ziO4ziO4zgrIG95P6G1FiEESZIghKhdtNZIKZEyjR+11gAopZa4LmstAEKI2vXqOhZVXWf1/uq2CCGW6jUYY/o9rxCCOI7xfb/fdgghMMYgpazdNtBrqH/NUkriOCYIgqXapk9THMe1v0V1u621S/xbOI7jOI7jOI7z6RJ2sChiGakGSAOJoggpZS2Y831/iYFXffBQDYo+7jZYa0mShCRJyOVyS/9CKtvreV4tqKkGZ8YYPM/DWosxZolBThzHteWqr3dpg8dPW5IkxHFMNputBdUuUHMcx3Ecx3Gc5eszCdaqAYzWuhakfJxMWr0kSfC8NDEYRRHWWsIw/LePMcb8x1mrKIoIggBjDOVymUwmg9Yaz/NIkqQWNEZRhO/7KKUwxgy4ruqy1dezaBD6WXPBmuM4juM4juN8NpZ7N8hq5qkaAFSDt2pmqppp8n2/XxfBRVUfa63tF3wtKcOmlKoFVPUZr6UNRKqZr2qgWc2k1WfVqplBpVS/wHKg/VHtSll9PUuTJVwW4jju97cJgmCFCyIdx3Ecx3Ec57/dcg/WpJQ8/vjjzJo1i7a2tlp2zfM8oihi7NixjBkzptalcDBRFBGGIdZannzySWbPns1GG23EBhtsMOhjqsFUNcCqBiVLq/p4IQRSSm677TYaGxtZffXVWX311QH6ZaPeeust3nzzzQHXtdFGG7H22mvXlq2u87Pk+z7FYpEkSWhsbKxl1xzHcRzHcRzHWX6We7BWLpe59957GT9+PA0NDZTLZZIkQWtNLpdj7ty57Ljjjpx44omsttpqg66nPni49dZbeeqppzj44INZb731Bg12qhk7gOuvv5633nqLL3/5y+yyyy5L/TriOCYMQ6ZOncr555+PEILDDz+8FqxVe5d2d3fzzjvvcPbZZw+4nlwux7hx49huu+1qAd5nncWK45hLLrkEay2HHXYYTU1Nn9m2OI7jOI7jOM7KatmkcOwiF12kCBSBDJ20d73F8N73maGH0mvzBFZT0kVyUQ9jdImHXpnFLy++nh4BlMswfwHFyAALgYWUexIKPRZjQepZtPgGvbBIR+NoekwHxO9SBOZ0Qa8tYmMLBopKQfEd4AOeff4R7nziRZ5+YybzE+iJgQj03LfRppuYmCiGKAZ0TKlcBCzlMtioTBj4RHoOQWsbNpdnwYIhyHAVTBhCuRsPQxJDQ24BTWY6KlpAr1yXd+c00Wot5Xgayp9LYeFcfv6Xu3m+IMDMB9uJ0J10AL3lXjBFtAVtoWSB4gzQHzHNVnbowgQ09NqEmSwE3YEtFij1AMwlsT0kQNloCqUiGjBAlIBlPsTQNQ9i3gHbQbHHEnVP5547bueaq27DBAFaWayKiItgyoDVzOt6H0MXpcr66i+W/pU6F3s/LNdRko7jOI7jOI7z+bTcM2sAQRAShGmBjt+cczZf2XBVyAVMeexxLjztNLTWTH75ZcpRGYwA3+PFF17mpUl3kclk2GDd7fnCl75IOYZsEFKOI/INTRRLJYQAiiXeeu8DJk9+he6edxgaDqG5qZlNt9uOwGZ47tF/UepaQHdvD2+/+y6PP/Evttp4A4JcQBI2ct9td/BRZxetmVXZ5Asbsea6o8kEHuVykahX88jTT/P+9Om0DbVstPFXWfjRB4TZzbBC1uKQRWMS3/cZMWIEd9z5f7T1vEfc0M2Exydw4blXMfnNt5j+/ny+uJEgSWK6Ort5cPJUFr7/Jk0qYb1Nt2OjDdfFeoIoLvLkIw/irbMLSU+ZyVNfYW7XDIattTpb7rwd4GGFIvQhSgRPPPEUk154lZYWn2EjhrPdNjtjDWSzjUx552U6Zw9lSHs7o/PwzztuYfiQtWjwO+jt6WXkiDUY/9BDbPqFDVl9tRF0zutm0qRJzJ79Hq0jczQ2NLDhprswvC0LVKYxQNSuO47jOI7jOI7zyS2bYG1Jx+nW4nkevpdWgGxta2PoyJEYCVtttSVRHBNF0f9n7z7D5SjOhO//qzpNPFE5ISEQOViIjBCYZEAYEOAABhYnggO2ybAmr8FgHDFgLzkKTBLRiLAGESUhooSQhHI4UedMnk5V74ceHQmv16+f51mzsrd+19WXJp3prjCjvueuqkZpjeXYEMOV557Lw2++iyvXAuDZf2TKFw7niivOSwrhuPiNZf8BTj32GObXdqanp4dBQ/oprSwyYsQIxjzxR66++EwuuOQqwuIavMGTmL9gAe/MW8jPrzwfvW4xV1x/PevLJVL5HK3psSz8aCE3/Pv1fO24I/Eci4svupiZb72FZdtosY5a/9WMGT2Gtb0S/ZcSlY26qNfrDG1rI52G1tZRlKOVHDvtWH7z0ztoa2nGtR2ol/j44yX84EfnspYhiFIXXr0Pq+UPjBkzmptvvRXR28kVP76IpfyB4bUClrQQ6RI116Lzogpr3/6YWAV0r+hg6smHoCKbbLqVerSaWClGDbuHB+6bgefAs889wcN3rwI0Tn4x5aKmtXkkUXEJrjOIYrHIlVdcyde/fhITtt6Cay65kVQ6Rb3WRV0WSadS7LDre/z215chMAGaYRiGYRiGYfx3+mxWshCbZJosi3KlTK1eI5VJs27tWro7OihVy0yfPh0hBK7nMXjwYITSzHzwQV5+5WUsSzL1yCOZNm0axWKJR554hpdmfUCtFqBEkk3SCJZ9+AGlYgEdBTTnMvzbFZex316T6O9ZR7GzTpffxucO+Cp7bTOKjvU95Npb2ffzk5kwsoWbfnIefbqZbXfakzO/cTpRaS2f224Etzw4Ax2UqZZ6Wfb+6/SrHOkh49n5c3uyVVuayupFhHYTws1uLPCG8iLQCNLpDLVanUIBwmKJ1WvW8qtf/wYRBhBGDG5pgljzwjPP0rm2g0qlwgEHHMDQ4cMolAus7VzHy6/NwmmyKMdF3HKN0Tvtxm4HH86kXYeT9wQ52czZl9wAXsQPv3U4hXIGrfIcffg0dp+0BZl0iUJfgacefxVi0LJEX7GfSr1GrdaMtjLstvdEph5+BLEfUOrr57ijj2GPz+3Gz356HUJp+rp7ufqKKzlgv8nUK1Xen/fOZ9KFDMMwDMMwDON/m89sGOTAkEAVk0qnyWQzVKtVrrnmGn5WXkfkWrREEa2N65fdfefNhGHEdT+9Ds/z2HuvvTn0sMlEUcSKpRFvLVzKRRdfzH88/RvqQUgqkwENLUOGMu2kr7E2/hw77bgjLfleJu66C0sWfUypv8qWWw/iXy8/j0cveR17ZTdHTD2Cb3ztBF6ffisiqpJuH8yRRx3LViNaueSiH3HjjTeyfF0HixZ9xAvPv0Clv4f9Dj2eq646n9F5nxdu/yU33ngjPbZL1Q8+NfRx0yGRUaxY8sknfPHorzAiXEjR6yGVSpEixU+uvopxI4Cy5NVZr5LNZDlk2vEcMXlXinvuyFW/uoNCscC8d+ez21ZjSOdS5PJDufiyc9l2u7Fk44X85Od38+CM13n2hVl845gphNUevPT2XHzhORx96EFYuSnMnTebs8+4ld/dcjsHH7QfQsZkcznS6TTHf+XLnPovx+GlXfJ+Dy+88CVsJ8/5552HFCGZVIoygrSXYt68d5iy/xT23GNPUrntkCajZhiGYRiGYRj/7T77OWvSwvd9fD9ApCVfPelEdt9qKLFr8dBvb6K4bDm5XI5LfvwTfnvteWSyGdb3ruet2bN56/WH6O3pYeTwPSnVNfl8HmFZCCGpVmtkczmaczk+eOtNHp77Fq2tLQixGLuo8bwUxBYRIF2o9veQb8oTRiECKJeKuAQUazG/ufFmcrpKs1WhWq2hhw4j9Ot0da5DRHVO/vrppPMQac3EHbclJRU9fUVsZ8P13gQMBDDJ7SAMyeR8aPECAAAgAElEQVSz/PjH/0pb6V1KqfWcd955DBE2P7vueiZN/B1DLYtatUoqleKB6dN55Zk/oArroHkESChXS0hXks6lCPtCRm81Fl9D1onZdsJWePY7rK9bVGsVgmoPKuWR8jKk0hba8pk4cXssaREFguY8aBHiOA7NLc1893v/gkZTj2rgeniOS+/6EsX+IiNHtnP55Zfz3X+5iEHtg5jx6KM4L2miMGLQsH354hcP+E/NvGFxETM00jAMwzAMwzD+7/xdgrU/vzqaZJPMmgBhWUjbIopjJk/Zn323G42yJIMQXPad7xLlIzrWraMe1An8gHw+z467787+e0+jpbUVEY+CtmEsX7aMTCaLlJJcNovv13nj1Vm8Mut1Rm71Jfr61nPxxT+kXbTwk5/8hAhBPYKUDWnPIwp84jBAAnFQxZISL53m2yedyPAmm2HpGlrDgpZtaWuz6O/vI5vNsfCjhey6855IIWlvb6FSKTF4cBtxHCVlDEOU5WLbgBbEscJ2XMZsOZ7JU8YwSI0kcntpbm3lJ9//Me8tW0KppGGQTRRERKHiuGOmccCkbclToTOwGDlyJIFwiKJVhFFELpfD8xoDLmtVStUaQRBgWXn8ICCXzZJJZWhqbmpUu4dtQRxrtIopFCCONGEU09rSBhoUipSdgUo/sUoupZDOJIuH7LXXPsydM5t16zq5996beeipewjDgHq0mtlzZrPH7nskba8UlpT4vk8qlfp7dC/DMAzDMAzD+F/hs7/6chTh1+tonWRdapUqWBKFZpsJE8hls5TLZVasXImXSqG1plQqseMO23Pi107h4IMOork1x4L58xmzxRbYwqZer9PT00NnZxdr1nXQ0pynXCrxxIwnOOboY9h6wtYEQUA2kyHVCE/jOCafz+E4DoUaDB0yhCgKiaOYI448ghO+dByTDz2MYqlIsVBk6NChHDttGrVajVtvuw0LiOKI559/AcdxKJaKpNPpgWJuej1v23GwLIv169cTBsljFhZ77rEntVqN4cOG0dPTA1oPLJLy1RNP5AuHTuHQqVNpaWnhzTffpK05x5DBg+np7qWzs5M1axohcDrD0oULSafT1Go1Ro8awurVvdSqNRbO/4SgAhAxc+ZMbDupr3QGhBRopSgWi8QxgKDiV8C2Bq5/19zUzPr1vRx11JGce975PD7jcc698EL+9Kf/YOutJxAEPlprgkbBYhUn5fsfvE6cYRiGYRiGYfwz+GyGQW46Ek4IWtvbCMKAWMY4nkcURmBL7Gw2ycjkvSRQixU/+tGPuPmWm7n11ttYu+oN8rk8Tz3xLiUcLrzwQiqVZrKZFG2tzQwdOoTmrERaFpHSXHHV1ey8S5qHb32QVDZHX70PEYCQEHl5eteu4bHpDzDvtbl878uH0jRsPKLcww++fxYTd9mOjkXz+OD9D2iaNIUfHX4tu07ai5bh45H1fo498pvssUuauTMeIJPJkiOgWulLMoiOO7CoClFMGEZEscKREtcDQvDjJDBsHdTM4nKxcR23NMcccwx33vcgXz/1NI6YvCtxYQ3PvDaPpqY8O+3yOYa5FYa1D6O7YPMvxx/DvvvtS17P4+lX3qNmtfH9b57B6C235PiTz+D3z8/nnvtupdTbwYrup5gzdy62tT1XX3MR2TzYoglJjbSXwbIgjqDJyxKWepGOjYwsjj3+OL785WOwHIf/ePll5r79NqXKOiKnQldvD9IexrBhw5DS+lRT/1cXJjcMwzAMwzAM42/zdzmj/kvXPx64LaCltRXX80hnsiDAdmykkFhaM2r0KEqlEkEQ0NnZyWFf/QqPPfoYY8eO5eWXX+auu+9m3NhxPPaHBzjh2APJZlPEfg3Pthg6eDD7TZ7MxN12Q0ubdz+Yz30PPsx3zj6HWgh9wXrC/jW02TH7HHkC248dx5oli3n/zbdIpVq54+nXuODMr7J0yfs8/9orvPPRCsZuN5FfXXo+tpvDstOcf82vKK9ZTNy3mpdf+iPnX/sLwvwg4soaPCdKyigthBADZR82fASWbTF8+AiUBiwLx0rmk20xfiwRMfc9eD9YklPPOIOvfe1kPNfjpRde5I1XXqU9n+PWm27ikCmTGTNsPN0reqlnUnz5sAOZ89zTvPL6J6SbB3HTHb/mkrNPJvZtfnD5zTz1+O+xnSr3PHQ3S5fViKJ2LrjoQo784i4kqcE81VKVjJfBERVSdoRfASef47DDD6dYrbC6Yy2FcolHH32cb57xbWIJt991J88+P5Ou3h4uveJyRo0ahd3IpFmW3fjX2nhRbMMwDMMwDMMw/o8J/Xc4o47/7L6la5REMkQwH3RCWAKlWZ7fmnYUXlDHdl1EGCL8Or25VgAcFdNUDyCKKNkZPKuDeq1OUG/Ha2khlQIrWI2gCSGaWG7BIL2enOqjbo9n9eqIoUNLyJIg29pCVwiDvZh6UMepryFsmgCAH0DWCnBUQKRsahrW9RXIK8XwEcOpap8MKlkcpQBWs8snn3QxdFiAa1lkUlk6i01k86AF5P06IRI8F4d1xMUiVm40i9dnGDwImvor+M1l0Bq3HtOdGUklgvH0EldCrEwzC3sEQ9wiTUJhtw2jWq0SWzaFpS9z/PHHI8afwBsP30q9EIJboCotio5irNcOMcRlTT1dwHMyzH9/Je3DYPiwEcRhGksI4hhiayWeHkOlAtmWCqVySD7bQt/aD2gevBW2lSayoFztpynjIeM0RFDzC1iZgGq1SrppC5xGO+tGeCobl8bWWicLjPylHmbWHTEMwzAMwzCMv+p/YDVImWyOhUdyHu+6LqFSSKWw6j7kkpdqrRuTvzSOI7GEQ77JQ6WbES4UCiGtzQ6ESUCQkaADlay+GMHIUTZCZLBzSdZHeiBYT9qOoWkItUDhOpKcA7HvgOWgg06cVJ7Bw4eSiaFQDWhK10HmCcMQO+thxbDNuCEEqoPAaqI/jGhKJYcaSEAKpJRECohDrKYmiKG9PSmvTKdwRYAWGuEG1BWkbaAWYqXToDUjhqZxlYUd1UBpbGnh2BakW2nymlkR+hBoUjmHumrBTsVkrRjifuLQRmRzZJ2Qar3ChB3Go5QGJEiFRmA5IEUTIoCMB9BPU6aJOIT2ESOII00QQJzSuK5HjEYoEDakrDS+DGlqaqUSgWNDGIVYloVAoFBYwgyDNAzDMAzDMIz/F3+XzJrx99PR0cHHH3+MUordd9+dXC5HHMcIIcw8McMwDMMwDMP4J2KCtX9Avu+jlPrU6pOGYRiGYRiGYfxzMcHaP5gNWbQ/v29ZlrkAtWEYhmEYhmH8EzHB2j8opdSnhj0OLOZhGIZhGIZhGMY/BTPJ6R9MEAQDt2u1GvV6/T9l2wzDMAzDMAzD+MdnMmv/YKIowrY3LuIZxzFW4xpnhmEYhmEYhmH88/jMgzWl1Madb5INMpmhv51SCiHEQJ39+X3DMAzDMAzDMP7xbRaZNTPfyjAMwzAMwzAM49M+84tid3Z2UqvViKIIMBk1wzAMwzAMwzD+dxk/fvzf9LrPPLOmtWbDLjcdurcZJPgMwzAMwzAMwzD+7v7WhNVnvhrkhvlVUkqEEGitCcPwsz4MwzAMwzAMwzCMz9Smiau/xWYxZ+3PrxlmGIZhGIZhGIbxv91nPmdNaz2wIuSmGTbDMAzDMAzDMAxjo80is2YYhmEYhmEYhmF8mhl7aBiGYRiGYRiGsRkywZphGIZhGIZhGMZmyARrhmEYhmEYhmEYmyETrBmGYRiGYRiGYWyGTLBmGIZhGIZhGIaxGTLBmmEYhmEYhmEYxmbIBGuGYRiGYRiGYRibIROsGYZhGIZhGIZhbIZMsGYYhmEYhmEYhrEZMsGaYRiGYRiGYRjGZsgEa4ZhGIZhGIZhGJuhv1OwFja2hgiKaIpoqBWhVoFahbUElJWCKHlNreZTBSh3Q1CkqqEQxtQBwh56ApLnoyIBEABUuwhVnb4QUNVkiyr0xVAB8PvpC6AG6DikosAHiHooA0UA1UU9LlEC0BW0DijVfMJaAAqorGMlsBLQfoEq0B8DxFSLHUCV3lqdII4B0FqjtQYgbjz2X4mjpRCzcYsgKgEsJ6ivBEoQrSWur0wKsUEtJgpBxUAcQtgL8SoiSihVg2qZoAr1oE5IAEQoHUDsowprISyA7gbWA+splfqIYkUE+KofHZaJ+3pQ1OkJI7oAygXo7cJnDX650WaqN6nQ3gCqMeUA1kVJWZTvQ38HRCE6KEBtDSWgAEkhwxpUChAuTLpLDHUqVAgoAnUg0oBOngtrERCg4qTcPj1UK5BUcf/GbletEtYD0FAmJoh10seoA/VGHytBtUofUCuWk3YOA1YDazb04FgnbUIHhGWoQhfJho6BMlAmwickICRAUUVRQ1EjJCIkIiIG6mgiFBDrZHcKjQbqgd8opGpsm3YIH3SUPNyoVxSbPF9L/lQnzw98LuIIdAV0BUUdHUVQh7VAKUqqImocIWGN1YWkNLCWQEOgSfYdRlBNmjjacIg6uV0HqHWA7qcnBnQPhOsan6Ma6BqRBrWhSLoMupT0ab9RyQpQdVB1FNHAdwFhqVG7G/ZZA/qgUqdWDygkL4GwAn7nxupQEFMhpkJIMan5KAYNOkjqg6iOqpcBRaUQo6IqUET7jX3TCwr61vsoSvgqIEZRBapR4/OnQ8LA51NUONCEm3z7EQ70vOTt1YZ6jFXSGTa06cavwoGm3qRYA828sY9EJN9gJbQuoqlTC/rxlU9ITEjc6H0BMQGKOvW40balGmU/pANAdULcAfVVrEAnj5UrlEKoKlBRH1qD1lBVOvmIxUlZ4whqVUW90Vb9MNAJ60kPanzfxhCFEIVUGq8tNeqRqAJBf/Kd0agS6oVk8yPKvVWIG48HfcmmoB6p5LsEkifD5Dt/Qz1vOI4KQFwDVSdWnUQaIgWaAKUryZGEjdfQl7QRhmEYhrF5sD/rHcZKYYUxWBYWKYgFOgatfbBdghAyqRQq8ImlwnOs5ARFa1JO44RFQRhphBC4jouKYmw7eY2KY6SQSJH8h4wlSdlQq0V4DkRRhHBsVBSj7caJUxAinUwj8ImJtMBzUjhSoJVCSEGgk/0iBQpwLQiCgHQ2T+gHZNMtCEAphRACrZPjsyyLKIqw7b9c1ZbdjA4bJ7SWQmuBSAliMgjXph66WHYGLTWicaIYhzGWaxH4PgKLVEoTagtHZVBCIrVAp9LYShFqENonIimfFhYq306owFUST0dg26TcCKmrhDVQ6QxhUMH1FL2hQtgCrQG/Dq5DkRStEiIfwmwGS8eIJpdYgBB1mqVPJfAQUhDmWklJQahtEBlcAlQcAw5KaLSAyBqCRYCOY2zpIImxRRlL5xAkbS402K7GD6sI7WJbIADHS84DtYiwYtASZMrB1hJihbYVaAGxIBJJ3wAFlg1SonVIOpshrFVxXEmTBj+IqHg2KRHgKB+CHDEOsaPIxsnvG1oGCOUCIIQkORoQWgy0rRASdOMZbYOQCAFKxWgNUiaBvec4bDwdZ5N/aTz+n39T0cQDz4uBU8tNXycG7usNx7bhKDee9TfeIqa5OalHCImB5NBjQCBEjMZKjkUo4kgTIRGOBa4LWiMFydm8tIhjDSpOPjtuGq0jEDFod+OOrVrjgASoxmdDS5BBckjaxU3CQVCKQApCkcILBdKxkQoc4RNpG+3kcTYtT6PcguSz4toW1UqNTDaFinxAEAkbVwuyuRilbIgstCgjpETHKTQlWlos4tjBkgpBRISLY2n8KMZBYzsOKlZIKQf2q8TGVmuEzUisgWOSaMRAAzTaVgjAajwfb2ilpN9u0nYbm3bD32t05CSfDyFA2FjCQ2pnoJrlp94j+V4UGhA+lhA4OKAzyYs9QR5BhAYZ4ljJmwiRIYoqyfeY14yIFI5yiChiS0h7Dn4ljZ1S2JYitpKy2tHG/hjLeKDtnUbX1UAoFbG0UMIiLQIQAo2kZnsAhBryrS6hqhPHNnXhoaUgLRRCKETgE1s2SoNQGie2kUIgBQRWUm5HkXz+EEjLIVLJ960ixpGST38YDMMwDGPz8pkPg7Qsi19feQVH7bM320zchj333ZODDjiY7511OksWLUmOyK8jLYlSySmPALAdwrhxfme7VOshYQRIibRtLAlozdIlS9hnj925f/pj2BK+dfLJzHrtbTLp5D9r17OREqRlI2icoFo2QkocK9mP7ToEoUoCO0sSdHfSVwDPApSi2shw2Y6LkDaOmx44znq9PnDctVrywv8qUAOItQMWSAewRfJLuoCYNIF2CZVHpB2EzKAd6C+EhLGFsiCVVjgpHyVjbDeDtvIE5QilLZAWWio8R+NXCgQKpO1SEzZl6VGzPGoiT6Ee4UfgiAgZVfBEhY5iiLYFyBqBk6ESS1ICcCTomBJN2FGIXavgk8JPQehA3QZNjUy8HttziRyXuu2hpE3oZOlNteJpn7SMiGOJtm3IZPBVG4H0CZwAW7u4xHhUsHWjgwoIwwghNa5jJYG5gFhHCAssB6S0EG6jUoVGRyFBpYqNhVYRCLAtByktbAFIC2p1XCEh9HFSHkhBE9CsBTUgEj7I0kCwFjqabAzZGLQIQbmgXIS2kdpCaguhnIFNaonUEqElKJs4iPFrNWwpCf1aEkxEAWKTk++/vLEx0mpsGtXYNAjV2DbpWEKAsEBYaDYJJtn0ZY17ItlHpAFLIiwIY0iCsxiESo5EJPcjv55kWjbsJ4pw5Sb7VTp5H8cGBZooCcK0C3jJZtfBqoOok/xmZCNoBGsyQEsPl3oSsKkaodZUSGNnPYJqSFYCYT0JDmXm0/WDBVgIbFzbQgKpdJpypYZ0MmjHQ2lJWAlA15BSAB7SqRLH/QidJdYlhKwhhYctFIIQDQQKQmwiBXGc/DCzsTottEhirOQbIEn1WsRYaJKW0ElwLeJNNjVw7JIYiWpsDGyfKt6mzUwaEacRcYrQt3FlmiiQA30v2Tb0TRuhFLYEMgLbgQwQ6Tx+mKZe99A+pLWAtMSWAlsKdOjgOFXS6SRbbSNxJNh2fyNbWseqgRuHxOV+YismthR2zMAWSzWwuQpcBZ6CSCh8aVG1Ukm7iwiEomanqNkpSo6NlhERAdJWVJwMRStNLBR2ENCEg2UJsKHqRrixxlYaqSG0ks1tZKW1H6N1IyiW4PsRSv+lWjUMwzCMzcdnnlkjDLFsmzhWtAxuQZeTDNVbs19j3aUXc/tDf4C0A/U6XsYmjKFSrTIsLZPMlw0oi3zOSQKtag2ddanUwQ1rZDIZ/LpPpVwmUtDd1UU2nUpGkQUx0rYbJ5kOhYoil5UQu/jVGLIAFloLMmm78St3zLU//Tc6t/4SF/7geIQUNHmNovgRni3BsqgFkHUglUoNZNXS6SSI+2uZNaGbiAX4AQivAo6LwiUmjxIgPQjJEgK1EKJmhxowsr6Q+altiQRsVVlBNj0EVXfpaGqmLeqhze+l7I3CRxDlRtFEMjwo7StavEaKTgSU3Swxgj53MCFJLmBkKnm6pFpI9RZJtzXRCTRbg6BaZbjuY31TK+Dgak1ezQHfJ87sjbSy+GSoIXGiKkNlAP4abDmItDeUfpHHAvo8SMdJPbUltYRGU5QAOQQ58hpE3A+6gO0OB6EQCLRMgmxLpmgkaanHGs8C4YLGJhYRbjZHBbC0BUoT4BIpcGIfhAeei9ABWG4SnTiKOIhwXZvk93aRDFVLKutTv78LNNVGk2bi3oHHa3b7wO30Jo9XnXYc28EJk1NvKR3QAild0FZywj5gY5AWYGEJhUVAkr4CBI1TeVA42I3QQMoQgdN4D0lMEr2GJB+bTU/80aA2fPyFTQzYNkQqIpQg7GQomRRgSd0Y1qcRxHjZ/MBQvWQoo0yOoBpCOo3tSKJSgJ3NggVxKLAtQWwlcaHUEAoL2QhgouT8GRvQySBVYpHD2lAWYRNjEwChBLfJIwBS2WYikYwO3hAsJkkbd+D9BjJMAqx0jjLQB7S5LrbSYAt0LJM6ER7CcYh8cLxssmsh0NjU/TrNeg3Y6eRDaWeTkacxSfBDUjYrqjTavgSN94AAyYbxk7LRAI1guhGCbciUCh2x8Te0jRm3gbvQqLWEEj5YSRbXcp2kHdOb5oo2DJlMakfGdQQ2vlQQKVIKai4oy0YIaA6Thq04ghQBCkUllaJSHUy1BoPaoVDtJJVK4RXH4GaTjLA9qBOlc6TsQfgbssl2fyNrCIrmjeWw+gduSlpIEZMiRFDFagwfd8VQADytkSIgbQNBN547kjRQD6pknRQoqFarOJksUfJrw59XV1IZjXYVwkmGUwKpdD7J+n4qWDNZNsMwDGPz8tkvMGJZrFu3jqamJn7+858z+9W3mPHEE3z1K1+hs7OThx9+MnldKkWxXMOxIJ1Ko8OQDaON/GqVQjHAtoBMBhBkU2Bns3R3dzN+/JY4joMj4dHHH2PSxB2wADfl0V8Ik4yG79OcTQYoEQR46caJq+9vSDSgtKK7uxvPSzFixPCBIlTq0L2+hpfykqFfgOsAaKSUCCEG5qqFYTiQaftLksARHBtCQup1eP3NFazr7aO7O+bdd33e+XAx8xctp7Orl1LQ+Ls4ZmFHia4aZLM5VKSQnsXCpbBiRZJJKkZFbGw2JJz8CFxXomo13p89h9D3SbkpSsUShQr09G88banWFZ4LrW1NrOmsJSfjQkA2S6xilq+AT5ZCEIZQr4PnIRD09HezeNki+koVlN9IQcaKSnc/fesDOjrigVAkZQnq9Tp9fVXKfhnxV37hFpYkjqOB+1JCrCKmP/gYXd1lbMtGayhXkrDCth1UNaCzty95ceOk0Zaw5JMlfPDmnCSQUCp53rJQfp3XX3/9021jWfx3KRQKfPjhhwC4jouQAiFEY1jo/5xCocBbb68CwJLW35RnqFQqG+9IKxnG66WI+gusXtON7XnJhCbAcf77Mhf1GqxZ28VTz7wAUUStHvHXWsivJfPKdKPTvffBau6//zEWLl7JRx8tAJL5j7rRBBKJZUMQh7z25muUy0kfTnmpgT7Ut2YNa9euBQYe+h9jWxa2bWM1+mlnV+dfDTcsKwmJa6qaDBUM4IMP1jNjxhyefPId3nmnhO8n8yn90EciWblmFTNnLmDO7KV8uHAlzZlmXOniZmlMMksCzEUfr+T5mfPQauBr8f9ZodDP27Pf2nDwA/9hpVyP1cs+gTjG9Ty0UqSd9F99L6fxI9v69ckG//PtZxiGYRj/fz77zJqUtLS0UCgUSKfTKDumfUgL51x8PivXl7jn3jv5+uG7MHfuXF7+qJOzzjwTFYc8eO99vPpJnauvPp+npz/Mix8uwnUc3n/hIdy2Uex96DGcfdLhNOXyLF++gp0K/Wjg4gvO58jTzmGP3Xfh6Sef5aa7p7Ns6TK2ag7Y6YhT+ObXv4bnRtzwi1/y1Kx38AqraB82hqnHfpkvnXAo551/Ln0L3+DD+ZKnn3qC539xJv9+73RefOEF+tcuZ7tttuHggw/h0BNOpCltD/yCXqlUuPrqq/F9n7PPPpvx48f/5fqoJ7+EIyGgSn854t4H7uaUb55CUK3zwH2zmHzQYLT28esFXlhQZ9vttuWqI9v5+a0vMnr0aPY7eTfK5TJ33Hobf6qO48dfHgpKYlmtuHGJnC5C3ExOSjr6BL+d/hwL5s/n6l/tiwNcd/fLaJ1iizHDkMLhwIlj2G6oxSfvvM+b3c28Nfd9Lrv4a8liIK7LhXe9xB65Fmwb7nmqwPe+ewKWgNefeJt3PlnJ4PGjWfP+HznwwF0YMXIkv304ZExzlXTwFvNWljns0B05eGzA2Xf8iTFjxlDOBVRWBnzlSwcxZcsuiN1kc0N8K0VAC3kNaA+Q+KHGdQTz5i1jbWcXXtolVE4SwNlJ5lFG8PbsD7n/zTe47vzv4MbJwiYxkG8dws9uvo2zhm3BsK0GEQQCx7Wo9VT42ZOvMHTK/owChM4T6Dxurogbebh1jzWNrOPITTIFgdUycBK5aeAQWU3oxiIioChUAt77eDWjJ2yH67jYEqRtJVlC/vJv+gE2DkmuyNI+G/JjkUj2FG7yd54IP/Xriz/wHo35fX/23hsWwejprXH/9OfYceczyNl5osZ8TymzOIAlBAGgcdA4rK/GzHjmTY4+7iBcqwlpWcnsLJGjq9TP8vVlxg4ZhGUJChFkhEsKF98CRyRZriJNpBVkFFTtJJvWhI9mCABuBJ12kpnKNw48A6Q13H7/Hxk1cVvWBJK2vMZVNSKZ/lSZAKQCz3PQUUSMzeruGr+4eToHfHUKy3r7ED19jNthB6SjEBZEcTOxAsuJqNcG8eCMJQwaswsjcyOTzJwzgnqs+dXjT2PpmB+ecQpZqRGNVq9K0I1jzlrZgfrfOGPt04uGbJidtmn+LC1SjWGrG5eb2fB3G25vOrvRxm4sYCMo+zV+dcftnPYvpzFq6LDGviXWhswrEkEWP/TJOS2sWFvlznueIabKDjtsQbGmeeRPf+IPLyq+eepE2geN5LkX3uA/3l3HhO0HYdkOc17q5rmXM3z7W4eSdZIjiJVNLRrMTc/MYtsdR3BQmLTxeq9loC1ao42BUcFqGZhRmQtpTAYOqblDsHUyxyzX+LvCqrX89qEl/GTXQ2i1msjHSSNry2NRdwE9MmKozmIpcEPo9ZJ+7gCZRmeoOEl/0hp8IZnxzBzK5TLfO+tAlJJYUnxqjKmJ3wzDMIzNyWcfrDWyCBsyUCpZvg1syZAhg2HxKqIoolKp0NffjyUhnXLp7Oyku9vHtaGrs4vZc97myiuv4MbLvs+Ml+dwweXX0fn+n7jo4osBxeBB7Uhg3erVOFYyhPLnN9zAF088jVNOPYn5rz3FqedfR0dHB9d95zieevop7njkObZuc7jl93dy3fXXccgX9uHWO+7k8tNPYMiWB3LZBafy/J2/5v57HuT7Z3+fb5x4Amd8+0yuv/5nRE2j+eq0A7FlUmHOcU8AACAASURBVKVhGDJr1iyq1SqnnHLKf1kdltDJJDWtSTkSz7OoFosEdR+Bi4pCvnz0gUBygrZXV4Ebfn4DD2xzOlt29zChpZUuCdfd/haWNZQnLv88FQU9EoaGgArAbUfbTWgNz856Ha9lBL61EseFnj7o6ezirG+ewYSxFm5j4Q5V6WHmc0/SkTuBIGwsYZFOwfr12N5gTjg5OaY3fvcibjf4Prx0z11ce/P1OIM81D6T0AT88le3oqs2F//o22Q1XH/b07z88F14R+3LhKF5vvftQ5Cqwg/O+S2zn9Xs8J1pxDKZUuZoSCnID0QgDjraOBrw3Xkd/OCHp1MowdNPvstTM5+hUqlw2BFHM2XiWB564kXe9xXTH3udSUPbuGtFhcn778aHjzzE6IkHcfmNj3Djr8+kLMGTENhZ1oceFZmsIPfwjDfpWNvDD78zlffe7+bWm59iefNqdp80iUu/dDhWFZYs6eCCe+cwqKWZ447bn2lj4aEHn2HVqtUsb9+DjxZ9zIEHHciFU4dQqjisKWjilMvdf5hFpCLeee8dioUiZ5x1MhN3GU81gltumc4HH37ApEmTcDOD2WPHMeyz8xgs7aDjmN7eMvf+cQ5vvP4GTstgvnXSUUzcdSRxPSaTcigUiixd3sM1tz2AUopsezNXfO8MuuYt5OevPMhvzr+KrCt5Z3mBO++8kx8ddyyFssOd977P2vl3EWX24fLLjyNAMGfOImY+/AwLZcD+e+3O0V84kOt+eTcdvQXeWVPihh8ew1X/diNb7nsMr9x7PZdeeikri1180htz7733Mm7XfZk780VS1YCTLzyR7YYPoqcj5Nw7/4Be18sphx3JjEUPcs4559CkbGoBOA6ElYALb7qLrq4umkLB106dxhY7bMk1l/6SLmnTuWAtJx4ksUSIiiNiDXPndvC7h65FqdFMmDCBH5x6FC1eiI5DbJnjvnsfIw7TzJr7Ecfs93lKgU89BavX9XPn/Y+weJFPe3s73//hYTiyjXpmOGWRZmUfPPzwszy+qMyYceNJ5fdiTLiSwI7JbVgBslbj2kcWML/cxKLFi9l1+wnccPrOBBpefuZdci488MADfPM7ZxOKmDsfeIauQoXvfnsa47ccyw1XXs8FF57HFsMkpRr89Ke/4MwzvsH6kuSWW24hUPC9s3/A+LE2KzrgzTffYu7bb+P3Rew3eX+OO35Xrrz2Kbp7mvnZTa/w4x9/iVWr4Pe33IEOfXbYYQe+9fXJpAT4OkXGh1lvvEZpsM3FJ51CupF1WgNcd/OTrHx7GW96ipkzF3DleV+hbWgeCazdpcwN1/2OrhX7s9W4ZHh5qQYX/Ns9hLakurRM7VBFT18vF1z2PJVqnR133IkLvrEbH3zwHq+++hp7HfxdHv3Do1z542m4ooiwUiiR4f634PlH70NWetnn8K/wxSOHELptfBCO4bIH1tH57h8ZMSjHZZecQBPQUbUYamdpsmHmc+/x6EOP0+HGXPPjH7HFiBYGC3juuQ+4+4XH2appNMdOO5Z1/QtY+MkaOru6+P65L/Ozf7sM15MmQDMMwzA2W5/9MEjXJY5i6vVkeJGDkxxFFDJs2HBWr1lNqVTGcz2UUhRKNYIoWTUviiJqdZCWxbBhQznskH2xczkOOfRQ0uk0c+e+je26tLa2EYYR/cWQTDaD1pqurh6CIOCMM05CK9hv//257LLL+d73v0/72LE8+uiDWJbNymXLWLhwIW1tbViWhUTS3NxEa0srkMyBs2ybo446iiWLF3P4EYeTyWaZ/uCDWFLQ399PFEUMGjSImTNnMm/ePCZNmvTX60RrkIJqXMUSNulMBtu28Wwb3/epR1CuJ0HUsCHNOI5DpAWObZPNZnnsiV6UUlx4zlQAgijCbyx4qKVHtb8PpZJgb/HiJew2cSKZdJpKFbwUrFq9ittvv53Tz7qOm//9Zco+uNks3/zWt/jud3dn2LBhSbAmBQxq5xunHEitDq+99jEd69YxaBAsWdLJiBEjuP/+FzjrzJuY8fizRJHitNNO48yzvk0UQ1CH3t5eMpkMO+60K1OnTiWOk0VZtNY4TjLnxhJJ/B6EMVJC1Bj9aMlklULbhloV1q1dS6ySlT7nzJnD1KlTOfzww3nl5VeYO3cJuVwO27bI5rKUymVefXUWv/nNbeSyOfbaa3daWlrxoxhvwzhRLfA8j0IBVqzzefW1VznpxKlYwJ133clee+3FwQcfzLx33mH27HdYt67EpZdeyk477UR3dw833vgQpUJEsVhi5aqVLFmyhMmT9+Oxxx7jlpvvB3xWrUqGG3Z3d/Pee+8zfsvxTN5/MrNnzwfg3nueplKpMHXqVJavWM7s2bNRcUTdB8IQhM2DDz3Ie++9xyGHHMK4ceO44847ksNXmno9oLm5iSeffJZDDjmEgw46CNd1een5V1BKUSqXiKzkWhYLFiygXq/jpZpwXIcXnn+B/SbvR19fH+eecxcAr732OuPGjWOvvfZi7pw59PWVGDJ0CLGKG/UH69f38viMx9l2221ZtmwZtWoZpRUfffQRs2a9wi677EI+n+eqq66iVNVcfMklLF+xgs8f9Hkee/QxOju76OnpQStFKpWMPH322ecpl8tMnjyZXXbdlbvun0467bLVVuMRQrL99tsTxaC0wLEcPvqoyPTpD7Drrp9j6wlbs2TJEnp7k5yidJMGHjF8BJVKhVGjRlMoFOjp6SWO4Mmn3mLlypUcfcwx1Os+M/9jFkPboVatUqmH3Hb7dN5480322WcfMhmXjxYswHacZF5juQSlEqTTLF26lEqlwsknH8+6dev49zteIQzgxZde5Pnnn2errbYiDAIefvgZPve5z3HE4Ufw8KN/oq0tWYTorrvuJQhh0aLlFAoFqr7m2muvZcjQIey0405cceWVLFkeISU89tjjjBs3lv33n8K8efNYvFgzatQoAj+gvb2dYhF++9s7GDlyJDvvvDNvvPkG77y7AiDp71pTKhU57LDDyHoQKqg3Lv1w/plHMWXK/tTrdbq7umhuyiOAig/DhuS47PJzGDs2haRxRQYNW2+9NSqOGTx4CD3re7jyyisZPnw4EydOZP78D3ll1iuUyxXmz5/PjTf+jtbWVoplcO1kNcs5c5bzxBNPMHLkSIYPG8bjM2bwh8dWk06nqdVqvPbaaxx6yCGsWbOWCy65i7oPfX19+IGmUIHHH3+S46Ydxzbbbssjj7+IA9x//5+455672X/y/iDgpz/9KelMCx0dHURhyAFTpjQWlzEMwzCMzddnv3R/3UejcV0PrTQKhVLJGmkffbSI4cNH0dbWjlIQ+AFN+TQCcF0bP6gRhgFCxnjpTLL4dRgRhxrH9Ujn86ggoLOjAxWHtDY51GtVdBwShz7ZXJpqDVIpCCsVtt9uHBKfZR8v4YcXXc3oHfZm1xE5ipUiURTguFmqfoTvqySQ0KDiEB0F3HfPXUTl9Vi2xwlfOo5aehh+GNLSkgz9iaKIXC6H1hrf9/E87y/Xh65hyQwq0gjZShC7hHGKSAcgQrSokrYhEKCiZG7boPYheFGM5Q5l1hsLGbq1plgq8P6CtUzefgTSknwwbyFzVnbQaTsM2XlnxqXhNzc9y7GHfp5thqSwSx2MERHLly3l9EN3ZcyWE2gfNIR77nuWG69fyr9edBp2+1Y0lcCO68kl3rRFHAQMdeG5Bcv4aFWBfMqlu6tCGK7ij3oMh40Zz0F778zsJWVWz17IKVN3ZW9ZYeaHS7n9+Q+Qbe2c9oNTmGTVWO+mee/jZdz1/Gq2mLwTRx13BIMC0BSwnSK9/kgefmUOHbWA7WTIlCn7JHO9PJCWJpcdg5AgHZsgbkM5EaO2HMYXR5zGvtvnGZzJ8vab73Pgwbuw7KV5iJZRHHPSoXxrpzwfF+GjNT309naTHTqMSEHRdhisI5676xFe75Oc9pUv0d4Kr/ypRHrMVgQTfEbXWjlg6y/y2vKl/P75tchdD2fimApTtt6RB6Y/x6MffcJiZzTFkR73XXYMfgxbth3A7x/9I9sfkWP5qh4iQDh5dt97L6Yduyexhl/cOINl3fDqnPc47/wz2WpsK/vsvxcXX/MwhdBFeqACi3rNZ5ttt2P0npPIZcus+6ADXzbTXYHh6RSW7yefMeFg5RxSVprPH/VVJuQj/OVFlNNEqG1UCqLcKPpooRpUCZTLLbf9iCG2Yvj2ip//4gFmf9BNNUwxePxwdGuaqdNOId+S5/hTjsR+ajjHTZtIpCAQDkd+8QBOPXBHlq/o5613FlGKNFaumV323pcTDt2WJXPaWPqoZt7bqxncsjtn/vIERoTQGla5dc4beM0jECGEVg2JYNbygGvOP5225gypEH71iMeLi0ocffpxlO5/iZMPnkBbBH6g6fdSWNTZe8/9adsxzccrqvQuXENJ2yj6k8s1aJvJe+zO7Nmr+ebxB/LRnJUsr3lENiz4pIfjTvg6Fb2OL0zbiZkvrKNHQcXqpbuvhfmLl3LRZRcxZbRDlz+EM/71JWScTRYmaRq84doRDG7Oc9lZ+5BLwwmpUXz9xtkc/uX9ybVvybdO/AJtrWkWLCuTahrMqC2HUokUdnYIn6xQHHLI4TzzzDOsDyIeff51RmwzkQXLVxGn2pi03x7UIxiyqpub77ifM79zCjvvsR+nff0IskChup4RWwi+vOXefLJqCV88fl/qEtLtTThNkq13GUnbFl9lyLghjeGtQE1Rq/t47cn30tKly7jrngdYO3R7wiDk3PFjWd1h0TxoHG3WOkR1OM0ColoBV3eR0VkIRpCKY9oyFt/52jY88HAvXzluZ35z31t02jty1benYLmST/Ybx4w3FzJu9Eh6vB34wbT9mLLPDrgWrPHTpDz4/SN3MWnrbTj71INosiJ+9rbi3297iMnbHMoWrV1ceelZbJeKGL/7WVx9zU28srSbKHL5/9i77zi5q3r/46/zbVO27ya76Z0kBAgpQADpRSlXEMUGYhcVFQty9QIqKnLVqygqCGK5iAXpmEAIJYEQWiCkJyQkm7rZku27077lnN8fs7OZLAnFH+CG+3k+HvvY2Zn59pnZ73s+53vOCK24ad4Shsw+nN2VcPZRR/G3uxby0raQP694gfMv/RIfPmocmdNPZPHjTzLp4AkceWyGru5uTjnteGw3XxjdR7ckQgghxKDwtoc127EJgoBEIp7/lj+I6Gzv5d67b+XhBQv51g9/ikqUYoxi69ZtGCCTC2hsasCyLMrLPJQVsbutnXkPPcWHTzyMzVt20NHZyaRRI4l0RG1tLRjo6s4Rcx3SvT0kE+Po7e1iyZLFvPv0E1ixbCmfvOp6zj//A5x2UBnDR9Rx7bVXUhal2XLVD1i7YROWnSAWU7heEitRSmigNFmC0QHHHjOHI6ZPYclTz3DpV7/K2Rd9Gdtx6e3tpbS0lHQ6zd133015eTljx47db3VNxQz3zV/Kxo0b+cw3PoZvQ2e2nKyjcNGoUkMG0Fb+ep/63dDaXcn4XDN31FSTSSa45fIjWbWihF/97Ce0XH49Z04Oqe2s58neUkbV2kz2m7jz5nn4Wzfzl7u7CLxydqmx/Obh1Zx3/Ezed9FkhhjI9gZ86sQpfPeBDUR+AzWJDurLDiVNjEoA1YntRCyoh4/MGk80awy/WFTJXx58kHHjxjGlrJkvv2cCw+M+px48gjvnLsCxZvCnec/wyFMv8InPX8rp4xJkgwzNOsFvf38XS5cu5eLPX8a7ZtehgZwHYTZJqXIp8yyczlZG24adu5tQ1jF943+BF1NksyEZDdVVcMlXP8Cf7n2AVasWMGTYNOK5qYwsdbGVxlXghT3EEnGOmlGOSXWhrArKy5OUORE2+Y5H0hgyvfmxo4bV1bJ9RxPREWPo7u0l1BYv7+xiTFhKbW01XrXPok3b6c720LV9BZHr8t7jRpCcOI7U1g5KxgwjEaSJAYeMyuJXJfGVZnhNFSUOlHoONWU2od/Xh0mQo6YCXKWprSwDoLpcYVUOJevE6QXKPUOQ0/zzoQVs11tJJBLMOOksAvcZMjYEKiLh5d/SX/zSZ7hl0SaWL19OU88zvHf2LA6trqbHt7GSDr6G3WGSdl2GHbOJlboYB0JbUTvSIVaaoLmjg0u+/BEWzlvDQ4+vJdvdSdUXL2bSJEXk9+avntMweng1Uw+aiJ821JTHSTghpQmL0oRi4viRYMGQunJ2djSQiTSu59BL/guIYcNG0tjdSaZv+DuUQWEROUnKKpKkyfceWV03jEBbZHKQyaTz4yOaHLZjkUDTsD3OwkdeQm9pZsYJXyDlvERjb5rpKkdaZ0laLjEdoNu7SESgggBH5/vUdBTs2qnpjJqJIs3smTMptcj3VJnJ4inF5LFx6F5JmaphUqWit6cHx7Hzg22jUFa+99fqCJIGYvEmkhXlJJKQSLhMGJ3vojFItaKDDGvW7qI3MEw9aCSj6iyOGTuV5Uvmsfi5zaxd/zI3/vZ7LF60lNq6Ybzw4lZi8ThjRg5j+vTDqSiBsriLB8SBypJ2/N526oZWo4OtxJwswyrjfOUrH+DpZ1/g17+7Ccexqay5iEnTpuBaQJkmEY+xc2UDM+eMZvSE8Xz3+1fQAdy7oIH23EYmjRnH1o0p2nLDSZTl8EOfbKfN9dfena/angm29kAlqFRVkMnhATpdwaiawyhNWOSAkSPLKXHqGFkzCieq4PQTDiIIWvGUTaVXhY4ikn4Hx06fiqczkGph8phpjKqpoCJoo8KzqCqBeKqN0UPqGFWZJJtOUVkew1KQSWdIpw2rNu6mOWNz4okn48UcTBRx5OxxeA7oMjjzvcfTFWgadjeSTJYQT9iEJv+5utdnMhLZhBBCDB5v/zVrtk3t0Fpa29q44oor+EGXoSKIEfrtjJs4jfPOOQmiHioqKtiyZQtXX/1Doihi2eInqT70VBqaunFdl57uHq688krWnTaTp1e9jOd5XHLJl/Bcl+bmJmLxGJXlMXp6ehk1ahS1Q2s45NBDueLKK1i06HRaX3qSnTt38IEPnE+weQlLlizhO9+5hiGmi8cXLSYyLrfddhuf+9zH6Wjv4K+/vYmnn36an31oFvpP93HZZZdx/JGH8/BjC3Fsm09/5jP55np9PT8GQcBPfvITKisruf766/e7OyzbYfPmelatXEUY5jtW8zyPRDJJd5tPeUU5kYGYgt5euOOOx+js7GTSpIn0LnyRiRMmYAGTpxzM0KFDuf32f3Ds5ecx68QTmeiWYGtNkEozffp0RowYwa5cBYFXTktLC45Twt333Mf6deu4/boriMdtVq5cSRg5hKb4u+b8uGNks3Rs2sT65mEweQo2Nr7vU1VezsFTD2beI4vpaOtg+MgSdu3aRRiGbNyR4b777uMLX/ki08Yl2d3ewtDqoTyzdD1r167hW9/6T0YMH5LfF33Li8fBj3wskpxzzpk4Hjgmv2/8wjVNYUh5eTmWBS0dPps2dfGNL56N5mx+86fl5HI+oavJ5XLkgFgsRjqT7ymvtKSUbBO0t3egdYQC0tl8U9vyigo+9rEPsN6Cv/zyD0TnHcXQIUOZPHkM7z53JlUm35Pc6k078LwYB089mI9eMJukZfHE4sVYyXzz3U2bNhNzjyQwEfX1mwnDgO7eXnLZHH4A7W3t1A2Pow3E7XyvfrkcVFdVs62hkZmVo9m4LUtjYyOefRgWoMOwf6D1z3zqImZOh8VrM6z0XErj+Uo0lgthwKJFq/joeUfz0fOmsLoBnr9/ERXjJ+B5Hn4Iu9tg9eo1JJMJgsAnk8mQzYJbplj/EuhI55vyLlzNR84/jDnOofz9jsVkM1lyQQKDyXcKH8Gqlas46+Mu8bgindH09Gb7mhm2YvqG5LYtC9dxKUvabN++nb5hBXn66aep6+sMo/AC0OSPW0sX1FXkj/fWrTuYNP5gkiVQU1NTeJsRmogIw7p16xg6dChf+NaF7AYefriUIbWlQE++Z1aVf69VVFSQcCDheWidH7wgHotxwUcmEpLvBOjRJ3vwyfcGa/UNat/QAMMrbSI8tm7bxuzTjiSVCSmLOyhHkU1lSaV6Ke3rGaO7uxs/l2N3OyTicWwbOjog5/tMnTqa8z54DD7w5JLNxOPQ3h4xc9ZMFj37LJOnTKbUA2XHqamu5utfPgOAR57YThAEbNzYjuftqdRbyurvDTIMAtKpNC09ldx11z184mPv55zTjuCOuU+yc+dO3OlTyObAtWHUuHH8fe5chnnnMHvmKHyg04clS5YwaVYNk6eM5867OnnyyVWcedY0Ek6C+sadNDU1MWvWTKL0ZnAsbBdSKXD7mobGY3G2bN1CJjeHWMxm8+Z6stkUOxs68H0f3wTE3ThhlAIbcjmN57rcd999nDDrq5BI8OSjG0ilUriuSxAEtLTChKo427fnaG5uxvNctuzupnV3vgOfwybX8u4zjmYIsGBRA6ne/GfE/IeeZ8o5R5LNwre+/VO+8s2LqKyspLurmxDwJJUJIYQY5N72a9Z0Lkc6nc6Ph5bLN4mMooijjjqWH//4GgBSLa1Mnz6DadMO4f777+OhBQ8xbvwYjAkZOayczs5Wenp7Oe3001m7dh2tre1cfPHnmT59Ojgu1dU12FZ+7KeqqgqiKKKnp5fLL7+MVKqXufPup6W5kXvuvZsJY+o4/PBDmX3ETOY98E8WLHiQmbNmkEr1cPfd96MUHHPMcezcsIHNm7cwdcYMrrzyCnY17OCppxYzbEQdP//FzwgjH9fWlJeX53esZVFRUYHWmpqamv3uj64oR82Yg6F0GPfM38BDTzbjlo9h6NjRhHZIe7abeY88x/0Ll3HD7xbx8vJNTB01jfLaChJqBUMr6tFAPAFnvvdcTHeWFc+8DFZJfmjgKENVMuD9c8Zz8dlHcvVHZ3DR0SMZnd3EJ8+aTPmwCbRmFP/111XcuirD/24fxklHHEJJspReyinrgcp4X/90JRVUHT6bNQvms6Ij5KH1O3l24QscdshsRo4sZXhZGX9dtIHbd5Xyx7teJOnVcvfNt2OXzMHR01j+aBOPNdbyt9WK5pYO7MrZdEZDePCldu5b1EFTBkx6G16YJh44eM5uXCtFT5fBqIDQhMQSAFm0StGT6sYBWjt2cde9C6lvg51dsK1xB7YHJSpHlOlk++p6TGo3KsySAPzeZlQEw4eUUZ3UxICqOJSHWXaGio4EzCmHcZU13PfAy4ydYbP8iWdofgFeaIfv3/YXdFvAV+ccRvj0o9y1MscNC3J8/68N1G3byeGp3Uzt2Mknrl3MnasifnJPK2dUeRxSEqc64eAEUJWwSShNZSzfkUp5TFHmQV1VCYsfXsTq1Tu57ZYbsZIJUn1d4FtORG+mg7auFhYueYZdHfDI4q20dLXRkgK8KD/Yl+vw0oaN3L2giaXrYMW6ZpxEBdW11SQrhvDIE1u5d/5qdran6QocLC9GLurhG5f/io3bNnL/vH+yq2UHk6ZWs2zlMpY828qzawMad6fJ6YC4Bc3bN1K/oZ3KGAyrShBmevF0RNTbyrByhyFlHkMrYthhL46GstI6svZmaseXgbuT//rlPTz8dAdbN/fQa+rpDHrAMVgmiUWCGaMr+f7v7mfeWp/bn2hm/YZNvGuchbUb0qkeWgHtxHBVjhLdSDat6GrPsbJ+Fz/99bNsa+5gw5YWInzirgsmh/Iz6J5edC+4OktV0qAzMKq2jF9c/2fSaVj4WBvLlv2NpIESPYKxI3JMGzeJKy+7guvXH8rlC0NWjb6ARjUUFdPQsQs6dhGPh2xOl3Du71v442746tMjqa6KU1YKMSeLq6GuEo6dPYkXn32a55buYu1LWR5f8BBxYES14eQjJ9HcuItTTjoRC5g6YRQvrV7Jb254kOefb+KRefeT7tzNhBHVkOshCMDxIRlUUKYr8AzUxsfw0opWdA+sX9bAA/etYfWaiNXP7yRpVeDSRZSqJ+ekmTxmPJWpOLff+xTLN2R57MlefviFP1MbVNDiaA4ZD+89fSZ/39DGX1c5PNLocONjG7AmT6S3ziKbPIicN4yMKiFTAj0qXzF9/zEJhgYv8L9313PXY938+o/PMWNYK2PcFcyo20F3WEKaUtpSdZTobVTGU7z73Z/h2fTR/Hpemptub2T+w5sYN/F0Yu4IHmubycf+Zx1PNFZwy+8fI52p492HjqSyOkEwSnHxR09n6YJltG+AO57Zxb0L5zNlEnz66JNZe+dcnl7bwG9u+hs96W5qhteSzqZpaGrg6edW5q+5gz1j3+VHnJfh1oQQQgwaypg3a0ScYoVxo/qqMxpyVn4xMT/X/48wFYvhGvAiBRZEaLRl4er8YGIZbfdf7xUjQ1p7WLbHTT+7hmfW7OC2W28m17Ebt6SSwGgq4jZRFGFbirCvV0Yn6MG4+a+7dagxjksQaNygE52sJtSQVClykY224iSiDMZySGUDbC+JY4OrM/Q4CTRQEaUwdgk538c2Idg2ruOQxUZpcNForfu/6TYmP/ba/gQmIJ1zeeGFddTvbCBeUs2YsVOYOr2U9pYunn9+FcpksS2LpFPLQVMPZsQIh1LLcOeS56isrOCk6QcX+ijhxQ1dRF0NnHDENHwLbBNg+xno2weRtshEMH/+o5x29mlYLrxc386K1RtxvAR1dSM5ftYQXHJY5DC6nCeff4mZc6ZS5ec7hVla3876jWtwHIehI6Zy/IyRfR0WaBY+t4qu0CUR9nLGqUezZvl62lIRQboXS4f4paOoqKxkVEk7L25sIZlMErghVipi1qxZHDYyl+9/XTmg02gnmR/pGr+vi3QbP8rh2jZ33rWUUQdVMOPwQ3h6aQMN7ZtJpVJUDx3DKTOnkvQzLFi7mdFJm3GlHvObNKefNJURUZrv/OIOHNvmu1/7AKGOAwoVBvz18WWceOIxDEnA1u27WbOmnnPOmsPKVTvZubWDzlgn6xSQTAAAIABJREFUtm1zztGzKEl4bNjYxLLNnajQMGnSRN41Mc7Nv/sHO3bsYOaZ55DO5SivKuPE6SOJsjmee2YFZ5xxHOvWb8f1DAdNHk2kYemy9UyfdQj1W7ayblMTqByuV80N9yzkO1/7OIdNqqLKZLBwWLNmI5uaI9ra2qgbN4Xuts2Ul5dz5nGHkNCKMJtl864unt/SitaayHY4+pBxTKor5ZG1m+nc2UYictGjRtPR0cF/TB/Ko0s3UVNTQ1fzSiJnLMceO4OqCsXO+ibWLt+APawOpSNOPv4QYsDjTy2jN53jlCOmsXbNWibPPIoRJS7t7W1sbk9TV1XK8uXLmTDtcCaMKKezuZsnN6/hmOlHsX1dM4s7ehmqs+S2hzy6ZT4//u/vMjGCTJiiJBGns1txz5IXcWwbL9RMnDyGqQcNo8SHZS9t4eDp46kwEEVZHDtLR2cFjz22ilxlB175QWijqS11edchDjYOds6mu9flmSfXcdL7ZtGws5XdLb0cPnMcTa1dvLB8Fe0dmkQywVFzJlBdMYRnnlnH7JnjsHSSF5YtY7dJoL0SQjtBredz+hHDKTMRRhuUjvjmDfOZOOt4dBRSbno547TJ2MDK59Zy0lGH4Aca27NYtqaeXbs76E5nmTB6GIdPm0i5owmDgAeeXsspJ84i0PnmnxtfbmbHjh3kslmGD6/jyNmTSGfz1/ceMWsycQMrVm1i/PiJlJQrVq/eztYdu3jPWUezeXMnGzZuwnYctNacePws6pJZjNZElkWoFW2tMZ5duYLeVAbb8aguG8KIESNA7eCg8RNQyvDg89tpaWxDKYshVR7vOWEaFvnhJKIw3+FPFli+ciMzDp9MAmhsbOfJF7ehyVfczj75YLZv3cK2bds49oRTiXv5/w6u7kATJxMkeG67oWnTapxsJ2WTj+XgqQ6VHT3c+mKG6ppqwh3LcRNJjj12GkNKFbfe/ginnH06Q0tg5Yv1tDTtJuNqDpsykYPHDSWzW7Np82Z2tu7C9hwOnnowY8fWsGOXz6qVK7FVF2eedgpxx8LWgApBhRiTH59DxmATQggxGLxFYe3NE4YhlmXlmyw5+QB23XXXkerNcemllxKPx3Gc/OOuVzzKVSEwFn9NOnCkqcHDGIPv+yil8DzvtSf4N9jfS0X1ndUYYzDGoJTqv+/NownDCMdxCXyD6yq2btnJz39+PZdf/k3GjK0Dle8hrqqqAsz+rzx5acNGbv3fW7nqqu8Qj3ugLGxrv0/v37bC4OZKqb4Anq94RaGF0RaWlQ/Mv/zlH4D8dWOWnW/GByEYK/9ToPaMmJXxI1Khyw9/+EPqxh7M9FnHMH/+g5Cw+fLFF1JREafcAs9oHKWwjL9nzyinbw9ZOP/C1TavdVz/fxl8QjJoKthU38x3f/AzRo+bwYwZM3jmmWeYPLGGiy46j8oEOPTS0d1BTflotNb961YY6uOt2IbCcgrzKHzODBT2NUO1LOsVA7gHAdx88+/5zKc/SyKRb67rxfe/roVlvd73ShAE2Lb9ht9bxct5NVEUYYzpX8bA6YMgP2iZ67qve/lR3zAte94vb9z+juviVS384fe/48Zffweb/P6Oe6CiEEdZWErlPwMM+Q5gYm/e4PZCCCHE28m++uqrr/53r8SrKZykRVGE1hqlFNOnT+fw6TOpqanAcSwsSxGGEcbsXdXa++y7MAzr4FS4FmngydKBoHh9C7ff/G0whGGEbTvYlsIYKCsto2HXLg6ZdgjJkgSq7/C6rpP/WlwVDXZb9NPSspuxY8YycdK4vi8BLMJIv65uvAsny/ntK4Q3G0v19bKnIJUOGDasjoMmjcSyCifaCm0MSllF62L6fgBl4XgWR8+Zw/MvLOOh+Q8yfNhQznnvmUwcU4VtIKlAGY2j8vuj8Jo2ygYU+a453jxv1jFUGExkSGVC6uqqGD5iLA0NDaxYvpRTTj6Wj30kX2mJ/JCYrYh5CSy154uVvff5m78NhXlblvWaobB/XQaENduGnp40EyeNweobYkK9ysEo3p7Xu12vtW6v5rWme7VtL+wbx3H6Hy98Fr+e5b4VX940tXbh2IZZh0/BGIg5kE5nSMS8vuUBqP731iD+6BdCCCFe1aCvrGmt+ytrkD/xVUrhuR7ZbK7vQnuDZav+qk7flH2/iytrb39/Kq+luFqjlOr/1v1f/Sb6323vY/Dm0TpEKauvuWf+t9YGrcF1FUEQ4Xp23/INxuz/BDEKI2zHJpv18VwXYzSgsJ397/OBb5P8vPsGgMPZ8xIz+XHhjAY3lr87nU5RUhJDawXK7j/NV0pTqAAHoSEbGWKeRy4C5Si0yRcHrL6XcMICpSMsBar/9W2j+1KBZjC+wiGKAmxLESmHrK9xPAvfQBjkm9A5Kl8ZKXENNiEohVLOfvb5IGH2/Ap8jedZ+H2/A9/gOAr1JhZzBr6vXm/F7PU+7/Usq0Dr/JdirvvqLRWKp3uzj11vvs8YsrmI0qSNiSJA4dl9ARhQpmiZg+ilI4QQQrwRgz6sFRSaAfWHGAPa5KsZYZA/kdcmQinV14xJF01d2MTB1xRmXydTb1XgObD1NRfMZPG8BLYFUaEVoaK/GWN+fxb26f7Dl++HeJ5D4Ae4nksUGWz7je7zomszi8JaFOUrLZEGywZjNJZliIwCZfWfN+a7wMnPI53JEkvku+zPRUBfk8qwr/jmWn2NeI3um77w+nbQfTMcrGHNRJrenh7ipRVgQxBBpPI9TsY8q/9daQINoY8Xjx8YJ9cDPjl1YQwz8gNFv1pl7U1Z/Ov4nHijoa7YwGne2mbOb0yPD0YHJOIuCtDGYCvV9yWG4pW1TyGEEOLANOjDWjabxfM8LMsinU73hzFjzKC9tku8NbTWhGG+muV5HlqbviawGmMiLGtPF+aFiuz+5lN4LAxDHMfp76H0Da5R32/r1XuPUxCGPpbjootOIhUa1RfWtNF09/RSWlKCZcWIosL1U1Z/S8n+/uoLvToAKGvQhzWKQrU2GmVbZMNMvmmd5RAGEVEUkfTyY5FlenIkKvc9iPyg1Hfsg0DjusXXJP57VqfYm12BGyxfJBW+mAMIogDHdkln0iQTyb7BIgY0U/03rKMQQgjxZhj0YQ3yVTXXdfM9Pdp7/9st3BdFUf8J+GA4mXijijsdOFCbQL7VCsGqcMx1FKEsiyiK9rr/tRSacRU6kij0OPrG5Y+X6ev7Ww18SOWbalq2IopClG3vFdYoCmsY3V8JNCbfgUV+Fla+YgMYHWLZ1t5lG6UOiLAW5TR2zOoLaxBGWWzbJggDPCcfkk2Qb+IKvO0b8v/TZM+YV+Yybczrugby9S/jXwtJ/0ozyIHTFzfLfiubNr4Rpq8Jcv4zwe3bP1bhKlKKj4hhkL4vhBBCiNfhgAhrQuxbcVPXQRJwi99NA85lNQMLcKY/rKm+ekD/hP3X2xQ1sdzX9hY9VTNIKwi678ci3wOm0oBf9IS+Crl2ilt3CvEqCq+fvXsP0livKHJLWBNCCHEgO4D/hxWuFyo+I97PCXvhv/eBV3AT+1Q8LANFt+0Bf7/R7yHehMD3Kq+xgXPXKMyeK7b2M2lx2WbfTezUKx8dXF7REati72NVtDGDdiN41SC+5wnFTxrMG/NOUAhpe/6NWex1+WjfswrfFAghhBAHHvkPJoQQQgghhBCD0AFcWRtYNdlPSUMaeb4DFQ5qVHTfYGkA+Crll0Lhpe9uS0HU94cp6ozfKirQFI+hva85F/cMmb89CL9/Kb6EyBQ6Y9nH8RqEq/76FI7MwIauB+wGHQAc+l9YAz7j9wyxVnhHSWVNCCHEgesdFNbe2MPiQDawodPA24W/384Xgd7HfYVk1pdUjOnrjWTP9WbFz9zfXPf1WHH3/3uflA6+HlJN37HYa8ju/WRa0x88D6ST6329DuUD6K2ki14fhTHi99XBT/4J+3pvCiGEEAeGA+mMSAghhBBCCCH+z5DeIIUQQgghhBBiEJLKmhBCCCGEEEIMQhLWhBBCCCGEEGIQkrAmhBBCCCGEEIOQhDUhhBBCCCGEGIQkrAkhhBBCCCHEICRhTQghhBBCCCEGIQlrQgghhBBCCDEISVgTQgghhBBCiEFIwpoQQgghhBBCDEIS1oQQQgghhBBiEJKwJoQQQgghhBCD0FsS1oIBPxifXqAXINsIHWsht4VWIG0CyHSRwieINKnWiB6gB2gF6NKQA6KAXlKkyRD5mlagGyBniPxuoI0sEOoUBC3oCMIQOiIfshnwcwR0Y1oCyIKvd5MCUgBRFpNOQwDttOP7PviQSqXyG+S30hZAlwF0li4NaYCom+Z0322dxmgfPwLMyxC1kut7LP/cTkwEYQDtfftJa40xBowPOkcAhMYAkMlkiMhvOsYnSnehtQY0OT9DAKQNZIAI0EaDDiHyIYpAQ2RAmzf54AohhBBCCCHeFs7bv0SHDUuX0tLczLrKExhipxiZ1OyKfEZWjGbOjBn0AL1ZiMhBPJZPI5YhsjUWFrZl4QE+gFL5cAJ0dEBVmYXjuPhZCCPwSj2IcoAhIsItd8EH7WkA2ruylJTuWb0YHhggByXlJTzxxBNkGtYz9YxPMbQ6BpHGLdprZUkINGQ6OohX1/anXxNGxGL5oNaTDmnesoHnVnVRUlLCrDOPoDcXUFpaShRF2BZgDGEErqXo7u6mvLycdC7EjuUXZjs2um/etmWRyvjEEx4AuVyEMiEJz34LDpgQQgghhBDi3+EtCWuvKNcZDarvdhAw74H5LFy4kA01y3BTTVSaLrqBUuWgUxlOvuCzXPjR8xkxdjREWUCDsnAoQwORzhHqGDoA1Ba0EyObUlSXgUU3sBvLriIZg04fSsxucBy0KQWdX0EdKSKguiKOybSj3JJ8Nc7VuLaCBEShz9133sHaZx7hvyYcy5Cjp2N0QEjf5oQRRkHMgnhFFUEYkQltyuM2n//cV+nOVvOLP15PeanLQ088zu/+/ATpdIoFZz9KaSKGCX1QNmATRpqYB74fUFZWRhiGWGhsbdCRwXIThEGIZWkc28Hr26HagOvaWCjyKbOIQgghhBBCCHGAekvC2ivrO7ooN1hkg5DIKFK5kC9e9EkOHVVBe3sHd/7lJrpSjTw2fz5PP/E49z84F9xuAMKUISqL5+fvRUTkyERpsMbjOimIddAdBFTEa8BUgsk3OQzsZkjXAh7aicCGTHsPsVEl/WukYgZMhAVYxIhMCJaLbUL++wffIdV1CWXjD0EbUAT9FS5cl7gF3T1p/CBFvKoGZVmgXJavWkvF0MNxXRc/go99/OMc/a6PUFVVRdJW5NpbiVVUEgQa4nFau7sYVuMSd21QCtu2cWwL0IRODKNAKY1j22A0nuPRnQXbBtcFo1VfONuzpxWS14QQQgghhDhQvf3NIC1FIpGgpKQE27Y47rjjOGX2ZEBx2OThXPr5C4jFYjQ1NbFyxXpOmV0DwJInl3D5df+gYWcDn7/gXXz9ez8lloyR3ZnFGRpy4803sqM1zuKH5nL45Amc9f6vceSRR1I1ugRiHvT28o9H5nL3L/6E53mMO2YU//Xdm7BsSHqGW2+5lYyf5Njz57Bs0TP88vs/Ze4Dd7FlyxbqN6zjPR+bQHVVgr/fcgsbzGjOOutMfnfFp1m2uYVzzz2Ho2dM47Sz38tDDz3BthduIx6P0dzcxPeuvppRo0bznkNrWfJcI2PHjuXY2mMpragE3+eee+fx6xtvprqmGjvMcPl/fpsjjpqD67qsXrWCe+++i3FTDuWE40/gRz/4Hs8ueZxZs2bx3R/9lHGTJvbvViWpTAghhBBCiHeUtyasmbDvRiFB6D2PKQttFOlcjsDOd4KR9UPiyuGoY4/gw+efyp/mNVOeSLJjayOpCSmuueoqnnhmE8lRZ3Li8TOY++AfuePR1Vzzg6s475iD+NkvruPef95Pd3YaZ7/7NFa+cAff/8EV2LbDbfffzpD0Bq695hoeWtfGRC9GVU0Fixc/zcJT38fnv3AxX/rEdDbXr+eOux/nDw8NJdPSSll5DL+njQfvuZ0lL6xm3KyTmDPnCJ585AEeaKrittvvZlZFL1G6g4fuv5OHH4zT4VvUN3Ty0pr1aGyU7bF1yza6OrsZYZq56/aHATjh3Htp2PgyP77mGp7bsI2sV8mwsiGktyzjm1+/lPMv/BRf+tIltOzaybOLFvDXuYu47sY/MKbSo7q8jG2bN3H1967mt3/4M4m4oqM7R3VZrG9/6/xvCW9CCCGEEEIc0N7+rvuNIQgCAj8g5sXQxhDzXLAUyrY45phj8DwPpcAYzXXXXsvSpUuZc/Qc5s39NbfccgUXXXQRjuNw2eVX0dbYSFd7O11dXcyZM4crr7qcG2+8geOOO445c+YQhhFXXXEFq1evYeLk6TyweAHX3/AzPvyhj+Bn4fc330ausxFUgOs67NjZyfev+TGPLV7EpEMnUxFTZI1DSdwlZlvYQS9ZHCYdMoO//eNOlj/9OMMrk2QiiwWPPcnnPncRt915N64bw3U87rj9T/z6V9cRdxyCXBalNa6j+M+vXsqLzy9lxuHTmb/oMf7wl1tYcN8/iDmKv/397yx45FESriLVtouclWDWsSdz//33ccMvf0GUzbKtvh7Tl8jKy2NEhj3tHpXhFdevCSGEEEIIIQ4ob38zSKWwHRvbsTHGoJRFpMGJNJH2qaysJJ1OU1ZWhtY2q1evIZfLsWPHDq677h5aWlpo2f4Uu3f3MHz4MDZv3kwUaaqqq3jiicWcdeZcPvuJEzj33PdzwgmzyXqwbt06YrE4U6ZMAaC8ro5PfupTHHX0J4nHE8SqWvFzPvF4nHcdPZsjjzyKZLIE/FzfKqu+H7CUorSkhA9+8HzcZAKI8YlPfpJv/+S3bKmvx/XAZDP4vo/WEbsauxg5vALlehhtsG2bdDpNJp1hxIgRTJ58ECUxCAGqqpg1axaLlq6mcVcj5SOrqKgoZ2hFLcefcAKu61I3bBhlZWV0BiHZTI5EPIYCLBkxTwghhBBCiHeUtyasqQGzNcVJwqCMBh0RBTlcGxzLgKuwKefefy4hlctRO2IEvk4RBDGiKElDQxMr/3YTsViMCtVMRU2crt5tTBxzEqee7DD3kX9SO2IM3bu7+f1N84jc9WgdccfCX1FeMpby8nKGjRwGVoaOpiaGjBjNMXO8fK//qhFtAhzX5ZBDjmFoTSWhDnB0DlfnCJWLYyIsDDFytPfmqBk+liCbw3VDzjrlOP7rF38m1PmeIZVSxFwXJ1aKbSkU4Ody2I5LLB4HoygtK2PTps0kE3FyQDqAIal2RtTW4AchOd9H6RxOmKbbh7FTDgOjGT5kCOUlSbo6Mn3jtAEqX0fLd3TZ1/5RFUptQgghhBBCiAPRWxLW9IC/LdSeRnlaYwHKaCw0OvAJMmm06/Lo3AdZ8PAzDB02gYamJmYdNZtH/lBCMlHDkcedwHmXXEkuk8HNNrF+d5acn8Ny24iVGL79rSs5dPa5rFuxiJfXLOHuuVuwbYf5c5+ltBwam1+muaWNINtDVW0VDz6ygKeWpImikGu+NQ7btrAsi3i8HI0iP/50iNIhkQFjIjAapUMSpeU898ILnDftGHTHTh56cB6RgdKSUjJpSMZdwsAnIENlRQlBCEnPwwB+LsDz4nR0dFNeUUFHRwc+EHOBhMfqlStIlpTgeh6ubRNk02QTmmygMRiUY6GMxrYUnhvrv0oNA9Ze2UyaQQohhBBCCHEge0vC2itjQlGKyGSoqiynprqKMJvjim/9Jz071hIbOpQKN0Y8WcuuVIoTTzmFceOH8+lPfYnrr7+ehQsfZ8opZzBq1Cj+cOMtLNuWxvd9vvjczfzi0mvpSkdEf9rGbf/7dVqbniST7WXixImYsJRz3ncqv/nNb7jjzvs4bqJm5swZ/OjaH5FJTWPcuLE47gQsS+WrVHiAwnY8CAy20hhl91cDlQ5IpbP86tc3MjW3Ft1az/z5D5LJVXDoYYdRmgS/rQ1lNOl0il//6reUlZUxLMxi2w7KsghCzQc++EFuuOEG5v7zn3iHvZeRI0fw8g2fZvu27ZhYHaef/m52v/QsQaaX5JgKAp1vigkKHUVEYUSkNZG2sPK9/ef3u9rHeGtCCCGEEEKIA87bUlmzVVEzyJIk3V2dNO1qIO0Oo9dohlZX0aYiWjrS0KM45twzuObH14JtOPs/PsoD855g9cvL+N0tP6ehYSfDrWGY8gT/c921kB3BMUedxp/v/CMmtpoLLriQhNVFVeVo1qzewE+Om8r0ymO5/54naM3F+f0ff8vmzZuJV09Aafj6174B8U19Xd8rAt/CoMjkcpQqjWcrlO1iW/keFm2jiSVLKfM8/vDHPxHv3kpXVxeJ0SdzxBEzsIBMqpeqigpa2rP8+db/xXFcLr/gNEDhejH8IOSTn72YJ558mjVb6vnVDb+lq6uLU9JLcZMj+erXvsbECWPo3vQcSod0p7IYy8lnXpOvTLq2g2Pb0tBRCCGEEEKIdyhljHnTyzDRgL9tE+Gr/FDZXpTihUUPU795M82xMVi5buImR0rBsOphnHjMSVSOyo+tFhhDMjBYoWHu/PvY2LSVSGuGxGs4+b1nM7R2KKXGIp3p5KFH5tHUoglznXhWDm3V8t7/+A+GjKokYQxGG/46bxGNGxdTXl6OFa/g7DM+R22twrGbeGzBc2zb0c34w47lXXMmYWOwg9288NhCnt+Z5QNnn0ZtXR1fPPd4Hmqu4Iorr8BqXIPf0UgiEWf4zFM5/tijcJSNZ3exeOHzbNrSSlZnsG2b42ccxJNPryUWi/HhT3+IhLIh8Lln7lzWtATYts34YDPjDpnNESe8B9uxaNy0jmcencsWdyLve9/7mFwNZDPc8Y9/kNU2H/nEp7DsfB1NQd+g3nt6gjR9nX1KoBNCCCGEEOLA85aEtbeK7/sYY/A8D6CvWWCeMYYoitBaY1kWtm2/4nGAXC7fw2MsFtvr8X0yIaAIwwDHcQE479xzWf/SS/z1L39h9pFHAqCjCMu2yY9v9sa6ZTTG4Ps+lmXhuu4bmlYIIYQQQgjxzvX2d93/BuW798+HqkKYUUoxMGMqpXCcV98cpVTfGG7qtYMa9AcvhcJoTSadJpFIUFdXRy6Xy6+bZREEATHbJooibOeNh7XCOhXf97rWTwghhBBCCPGONegra2EY9t8uVMsK1bM3qng6rfdcWbe/eeUyKWKJRP4PY0ApFj36KB2dnZx66qmUlZVhFQVEow3Kst/QOoVh2L9dheog8JrBUwghhBBCCPHONujDWkFxtWlgWHutTdhXler1VK/CwMdxHYw2RGGI7dhorVEoLMdGhxHKsvqX398U8l9UmI9U1YQQQgghhBAHVFgr/r2valjxpuwr8BRX04off7VwFEURSqm9lrev+/7VpovGmL1CmgQ1IYQQQgghBMAbb0v4b1IIMYWQtK+MWQg7+6ukFViW1f+818qqtm1jWRZRFNHd3Z2/Ls3ON3UMw7B/+kLzxX912wrrJIQQQgghhBDwb6is7auS9K9egyaEEEIIIYQQ71Rvey8WhWBWqCIVOtUYjFUl/QavP1MYGdNMCCGEEEIIsU+vdknXvrztlTWt9QFzbda/smMG/1YJIYQQQgghDgRve2UtnU4TBEF/NW0whzb9Bge4Vsag/qWIJ4QQQgghhPi/orq6+nU9b1D0BjlYB4HWr/2UvSiksiaEEEIIIYR4c7ztlbUoivrDWaGt5mANa0IIIYQQQgjx7zIoKmtCCCGEEEIIIfYm/eULIYQQQgghxCAkYU0IIYQQQgghBiEJa0IIIYQQQggxCElYE0IIIYQQQohBSMKaEEIIIYQQQgxCEtaEEEIIIYQQYhCSsCaEEEIIIYQQg5CENSGEEEIIIYQYhCSsCSGEEEIIIcQgJGFNCCGEEEIIIQYhCWtCCCGEEEIIMQhJWBNCCCGEEEKIQUjCmhBCCCGEEEIMQhLWhBBCCCGEEGIQkrAmhBBCCCGEEIOQhDUhhBBCCCGEGIQkrAkhhBBCCCHEIHTAhDVjDFrr/tvF9wNorYmiqP/vgb8Lz9nXfPd1X/H0Wmu01q9Y7sC/Bz6nWGEexeu6r3UaOJ99/V24r3h7C6IoesX9+5rf/raheD4D92Hx+hffLhaG4Su2/dWWUzyvfR2zgfPZ3zyFEEIIIYR4p1FmkJ/xGmNQSvWfnFuWRRRF2LaN1hqlFEqp/udHUdR/XxRFWJaFZVl7BYEwDLFtG9u291rG6xGGIY7jvOpzoihCa92/7P3N+7WWWxxICtuzr2UXAs/AxwrTF5YxcFmF4FZYx8K+syyr//7i9Sy+77UYY/B9H8dx+vdzMd/3+5dVfBwK61kcMIvXr/DcQsB7vesjhBBCCCHEgWbQh7UgCHAc5xVBIwzD/hP14pP4KIpwXbf/diEQFILbq4WXgXzf3ytwFVfZbNvuDzXAXoFkYAgCyGQy/cGkEKqKQ2dxOFFK7TOUFYem4nBmjOmfVyHUFLbXtu3+9Sk8VljfwmOFEFzYr47j9E9fPE1h/QrT7Ss8FbYH2CvshWGIMaY/vBVvS+Fx3/cpKyvr397CY8XLkHAmhBBCCCH+rxj0Ya0QMgauZuFkv/BYcTAYGByKT/KLpxkYqPZn4LILzx9Y9Susa3G4K56+EBYL0xVXAQeGkIGBpzhsFj+3EGgGBtDibSze7uJtLWz/wH1R3LSx+PkDK5wDm4sWV+WK99m+KnQD93nx3/vbxuL1K16eEEIIIYQQ70SDPqzB3s3j9nd/4Vop27b7K0GO4+xz2v3Nr/hxYwxBEGBZ1l6VvYHBbF9N/GBPyBwY7AqP7StkDAyaxQpNCovnUZjPwOeGYbjPdSsOOcUVyOLHB1Yf97VNhcpi8f4o3B+GIbFYbJ/TDtwnYRjieV7/fLLZLIlEYl+78xVVPAlpQgghhBDinW7Qn/EWBxjIn+AbF0jlAAAgAElEQVQHQQDs6UxjIMdxcByHbDbbH1yCIOgPdMVBJJ1Ok8vl9uoYo/B4LBbDdd29OvkoVHOKr8UqrF8QBORyub2qVIXmglprcrlc/zIymQy+7/dvRxAEezVdBMhms/3z9jyvf56FdXBdt/+5mUymf19YlkUYhq/YN4VtLEwbhiGpVOoV2z3wGsDC9heuM1NKkclk+gNYcXAtDmrZbLb/dnEILGxHIagVjmdxUIuiqP/4wZ4QXliuEEIIIYQQ73Sv3lPGIFAIAVprent76ejooLu7G8dxSKVSuK5LXV0dYRjiui4VFRX9gaGjo4NYLEZJSQm7d+8mHo8zZMiQ/spaOp2mqamJ2tpagL2uEytUbjKZDE1NTXR1daGUIh6PM2rUKDzPIwgCGhoa6O3tRSlFLBajrKyMyspKSktLAcjlcmSzWR5++GFisRgHH3wwEyZM6A8mK1eu7L+WK5FIMHToUMrLy9Fa09HRQSKRoLy8vD/sbN26Fc/zGDJkCLFYjO7ubjZs2EB9fT3jxo1jypQpJJNJGhsb6enp2atTEmMM1dXV1NXV4TgO3d3ddHV1UVdXRzKZ7K+YvfTSS3ieRy6XIwiCvSpxdXV1+L5PY2Njf4DUWjNmzBgqKirQWtPd3c3WrVvZsGED48aNY+rUqZSVldHV1UU2m8UYw8iRI1FK0dDQwFNPPUU8HmfChAlMmzYNpRTpdJru7m5isRhDhgzpP16pVIrS0lJKS0v3qrYJIYQQQgjxTmNfffXVV/+7VwKAQmNMVfxHhNYhKEMURtiWy7nvO4+uzh662ltpaGjg+R2bqHIT/Pdnv8Jzpopjj5uBAbxUC27jdq5Z+BRnTIhz69c/xwo1lSOmjQdLkVGKkvQWLjz/DHbq8Rxz1GG4EWRtwARY5IAcjq35xTWXsL1tNC/XN9C+9W6+8aMH2LSzm3fNyHDK+68gFTr0djezfcs2Hn90Idf89+85+rgjaU3t4jvf/R/mzX+EkbV1tLetY+lzj/PkkvUceeIhdPsdfPmSqygpS7J+4ybqt7/Mn277I7kwzfhJ4/n9H/9ASVkZtXWjCCIwKFY++DA//d73+dBHPsnfbr2e/7r8q1hmOKgU9dtW8KOrb2bC+NE898yj1G/YwfNPPc8t1/+OkrIR7Ni2A7siYPToSWR9eHHp/Vz1lR/x4Q98CNfuwTKw5sXVfOTiL3DYIVO58ltfp8utpr1lG80vr2Dp9h6S1dWseuxe/nTvAkJstm9aw/YVL/Lf37mS7Zkkoyrgsvcfz+r4TEpMM63P3sOHfz6Xk0+eQ0mmgZMv+DxzTj6VCtvie9+/jHnz7mH40Ml0Z7aw6In53PLbuRw+cypVQz3ed+5neHH5cv7jvWeho4h0Os15553H+eefTyKR2KvXz+Jr6bLZ7Ou6FlEIIYQQQojBbNBX1izLwg98LOWCpYjFPD74wfOZOGEMJSUlZLwYTiqN7TmUl5SggED7YFso10FpBa5LLFmCl3CwbTCGfCi0HWJeDEv1/T3w3F6BUhaOE+eTn3o/5WWQUEcx8giPy755Gd+55HK6uzr40AfPZ85ho9B+iOs4nHPe59jR2MCPr7uCquR4/vH3W7EDsNx2AL74hWtobW+lqrqaUSNH8+lPf5rCJVhr16/iW9/+JjNnzCKbzZBIJrAssCyIIvBKkmRDn+0bt/Kb397IzTffzGEzTiI0vThuxIc/YHH7P37PN755CegEC+6bz9YN9VzypQshgi5aCX1Aw/HHH8+3Wn/Onf+4i49/6f2EvuG3t/yOKRPHM2XSeJp3NfCVS75IhZ0iqXJ0eTUoYOtTD3LCSafwqY9/BCfI4aI5aPIULr/+Lxwz/hOERvG9//wopVEHZdE5NN+5ie7WNoaURdiWQmGY98A99Ha6XPuDmxg+2sWEFSgFP/3llcx7YC4Xf/YySsp9Nm5aw113/ZMPf/BckskkXV1dxOPx/kpfNpslHo9z7bXX8vWvfx3XdfsrfkIIIYQQQhzIBv0ZrQE810MpRVdXF37Op7llN8lkCS0tu+nOdmMZRVtbG/FEglCDZSkwBtuy+q+Hcl13rzymAPbRQ2JxbyuZVLov2YHv5wMTSrHkqadwHJd0Os3w4cPJ5rLk/ADbdVi+7AXq6+vRUURjYyOXXnopAEHgE/pZcukUEydMZOu2rVhYeJ5Hb2/+2q4wCpg0cRIrV6ykvb0dow2OY1O4RMuyIJ1J48VitHa3UVFRwWEzZ9LdaXDsfO72Yh5f/doX0VFE++524ok4VVVVBFnIZMBzXVwXYjHQ2jBz5kweX/R43zb6vLBsGRdeeCHKshgzZjStbW1kswFhKkVvBjT5/dvd3U1o8vs1u3s3N998EyOGj6Bu2Fhsy+Kc8y/lpZVbIJfjgx86nVmzp5KIx6msrKS9vZ2uri4+9KEPMXxkvolj4XK+Cy+8kHQ6A0AqleKCCy7kZz/7H15++WUymQzGGGKxWP/1gPF4nJ6eHh577LH+YRGiKNrr+kAhhBBCCCEORIO+sqa1xlIKpSzKysowGB579FHWrl1OFGkyNnz74i9hxRxUFOIpTRwXlEG7NqWxGBhIBSF2lMOYfEJVAFphIlBWIbzx/9h77zC7qnr//7XWLqfNTGbSSWghAUSKgCChShUwVJUWVAQuVTqCBQsICApcFSmiKNjogjTpSJMSkEhLIJhCCWmTTDtt773W+vz+2HvOTCB4r/e5v6/hPvv1ME/OzNlltXNY7/1pOMleiKZQKoHSRDGc+/3zCfyAYv9fWN42lZNPPpbOzvEsX76Yyy79IRuuOZJafx9vvPoqo0dNYJONN6IYhjhraTQdbWEA+IinKJcrLFvaTW2gStRMGNFRxBgI/IAkjlh3nUn4vkepVCBq1rG2SeCn1iS/UiLCsbynh66xo3E4OroURhzOJowcPYL+gT5GjAjxi2lcXb02AAKlCjRFiJpQLKZC68yzz+KYY47hiccewyu0M36dtZn2md2YP2cW/cuX8bvrf83YoqWU9NPdvgF77rkLKihwz10PMnf+O+hmD4tenUlfXx/X/OqHTB7v8ePrfst1zy/mgT/fyzXP3MU743fhe6cezloly/IlS5kwbhxvJTHFYimbY0uxCI2Go1KusGLFCgqFNMZuyy0/Qc+KGqeccgqXXXYZY8eOpVqtMmLEiFbylnK5zL333ksYhi2XyNyylpOTk5OTk5OT81FntRdrntaYLJuiCBQLRQ499BAmbzSFUqlEwQto9vcTtBUoex6eODwFBJqX5symQAH8ArHyaNcGndnOFCoTawpPC0oJiCBoBAVotPZJTEKp2MnXTjuNdddtp1D7ErXKRADswBxGdJT52pmnsMtWm2ISy5uzX+HLR3+Dgf5+yuUSS5csoVzUkAg6CNB+QF9fP+sUunAi+J5HveoIQ02jHlGr1mjWm+AEaxKqA32UCj5gQBmqJiLWwjrrT6K7r4d/zJ/LeutshfY1WgXMmbOYX19/BRf94BwqI9pAC1orgmJ6ibDko4pQrUJ7u2ad9SbziS225A+33ML6H9uMLx59FIESKsWQchhw2kknMbaY4IeOFboLX8H8v3rsu9/nOPbY6fixod237PeZPbnqip9wwG5TmTS6yH98+WDaqVMcOIKrHpjFs089y+T9d0M5i7KWSrmL5/52Hx/bZCxd7WvTcIsotZV4/i99rDF+ArEsoVyYSNTUfOMbZ2DiKrfccguLFi1qZeJMkmSVxcnz+ms5OTk5OTk5OTn/F1jtd7QC+J5HGIRYk4k2hI62jtYGvej7WOt46KGHEJV1yVlmz55NvZG61BWKhTRzoFJDvo6DsWsfkodCAN8PSIxhRGc7zQh0sYgDDGnK+TiOGDNmDLV6hO9rNtxwQ9rb2+lZ3stmm23Gf/7nf/LOO0vQWrFiyRIA7r3nXj6z8x6UymV836dS0SgF5XKB3//hBkaNGs2UKeujtcdbb71FM25gnMH3Aq677jrGjx9PW6UTEeHaa3/FoBfn8r7lPPjAA4wbl2a3bDRiQOFpjW0CPhiX4ATa2iAxCYU2zX777cfMmTN5bsYMdtttd5xzNKMmcRIzqquM0amm97P7RFGEtQZPkQrJJGH99afw3nsLeffdBVz7q18RDK6sIGDylClYa6nX6pTKJZxzTJo0iQfufwBnHVHkKIUlqo0ql1xyCR0dI/A8L80GGYYMVAc466yzuPfee5k8eTKNRqNVkkFr3coKOVg6QQ9zf83JycnJycnJycn5qLLai7VBHTVYFNrzPMQ5mi7BDwrYah1VCPjc9C+waMEC/vDrm1j0zlv86tpr+OXvf8PGkydBo4n1CzzzzNM8/vD93HXHLTx43xNQasfGjgfu/zP3/fkhnnzsfu677zHmL3gPEkdvfz+gqdUslTYoFgBTRIAAqJRG0t39HgP93VTKhdRlMwyoFAt4Cr75ja9jE8OhhxzCrJdf543Zb7DnLruy2y67ARobO+bNncNdd97P67Pn8MOLL+HmG2/izDPOZERbB1MmT+bnV1/Nj354Mb09y/ntb3/FwmVL2G3vPRk7YRS77bobTzzxBKed8m3ee285l15yCTfddBMbb7wxAGExxClBhx5eEXCpW6mn0nENggK9y+rsvufOjBw9msQJxVIR7Xl4SqNR/Oa3NzPjr3/lgVtv5dHHXuTVWe/iaY2nNRqwVsDzmbrDjlT7lrPFVlP522tvctjnv8h7Cxbz0EOPc8oxR9DZ3sbIMWvQs3QpvoKdd96Z3r5e9tt/P15++XVefu1lDjzwQLq7u9lj992J4xhjDMZa2tvaCYKAadOmMXv2bDo6OvB9v1W7zvM8Dj74YIIgoFAosGLFig8U/M7JycnJycnJycn5qLH6pO4fZCUrl9BsNvF9H6U09XqdUrHEZpt9gqBUTLND6oAkabLl1K3ZeMuteHvuHN587e+EZfj8Fw5i6k57Uol6qHR10ksJO7CCWnWA7v4aG689hs7RYymMnYQy/Sx+dz59DcOEMWNYY9xowlIIKIq6QPv4tQgLAaFTGE9jBWz/CsauNZlNN9mYjrCCVg7EsOZaG6CDhMkbrM0hn/8S6667Nq/9/RWWLJnLrrvvwec+fzil9hBxDpco6vV+3nzzDTo62jjhhOP51FZbIUpYf/IUNtlkE6oDVZ5++mk87XHqaWewzae2IQgK7Ljj1nzyk58kqgW8Nut5JkwYyeHTj2W77T4J2mKS1N1zVFcna647BT/wEC9CuxIiYF0/5VIXAOPXGsMnttiK9dabgi8OjVAohDR1gWWLFmKTOm8tH6Br5Eg2XHMUldHjmDhxAr6z+DqNfyu1tbPD9tuxw047UO4YxWsvz6S3p4eDD/8S+352L6r9fYwZP5EtN/8EI9pLHLD/51hrwiTm/ONVXnn5H+y4w458/ZtnstZa40hiR7lSZquttqBcKWOThAkTJrDhhhvysY99jEajQblcRkRoNBoEQcDkyZMRESqVSqsAd05OTk5OTk5OTs5HFSWDFaL/3XxInTVBqNcbBH6BMEyLXTsrxJ6iFtcZRRGIIBDqqozUq1RKIagBLIaqHccIuwSaDaod69LmssyLqog/sBTimIHRa6KTOiVXpxqOpoQQCFgdo1BoE1LzIXHQaaAnjIlNzJgoJqmMTNvUH1Mseyhl6O7WdI2xOB3j0cHAQERHoYAK+iCOcTIGU2zQaDapeCNwIoSBByp1rQwCHxFLksQIjkIYpvdwjgRwIhR0iShZitaaAqNpRgMUKxZsJ6ISRBuEEiY2FLSm3tR4HrhCNyUZnbl/LoPmGOpVQ2mMJRbF8oGECe0lTGMAv6CJvHY818Rv9FGtjKNah/FeH43CCABKAGKzufNwSYz2NRYfnMHTCqM8NKkZNzsS0+ijkF3DshwXjyIIAK+PxAT4uozoGPCA9PzhAkxEWoXQ6/U6xWJxpTi1KIpaxdFzcnJycnJycnJyPop8BNwgFZVymTAMWyndlVLUbJNSWE7TNzoHyuESSEwITuiNq1STiFCR5rwvV3CuAc064IjqAoUStKeCwQ8UuqDTuCwnWVpIjUWw9YTYkY6WgQCh6Gu0LqIwCAmlSohyBhSMHh3gcES2gQI62gsoAWIDYQHtgYdPW7ENpQ2QUG8MYExMEHgYk6CUJgyLFMIySWKRLOGJpwMCL2TFijqlsETBL0ACxYJPmsWSLD1K+q/va/A1QRt4JfB0QBSnqfLFOvCgPMJHoRDjGNVRAaXx/RCpR9QjMM0ECkWaEXSUAU/TqFk8wEZNenp66OvrAwwq8BHl47k4TfyhPOJqDSXw7qJl9Pf2o4FCqUSjZsCl8xkEaXkEAN/TVKvgsETxUOxZs9nEGEO1WgXSZCKQWvVEUivsILlQy8nJycnJycnJ+aiz2os1gCiOSExCsVgkSUxaX8srpPY3Y0CpVOAIFH0HCOWwQugXEAcYC9bhaYW1FqwhDBU001pcZtDc4yxWAKVSK5YzKDReOUCJRUkq4hKJsTYBP6RpGjgMQHquc9TrFrGKghdSqzVBwImDIAAR4qZgsyQeSgmeryiXS3iehzFp/0BhjAUUQVDAWcGJECcxzajJyK4yUbOBTX0dSesOWEycWh6jKMIah4jgEKJYiA1YLEEAaa4VjWk4GNRDKhU/zWaMeD7W8ykWwAvSSuIFPx0riSOKAcSxwwt8SuUK7SNGAEIcxSTGgVZpFk+gUAyxztHV1cmIjnaSOCFuJJTaHMbVwJYwUscPmxjjIwJ+OICSkMAPERGSJKFQKGCM+YCbYxAEaK0pFotZ+1NRl5OTk5OTk5OTk/NRZrUXa41mk0JYyDL/Kax1adFrFNWklhZJ0xrla8IAgqIP1mERPOWnHRQB30fh8CplJIrSAteFItSboMEladVrT4ER0NrD1z6JTbCxwyD4Kr1voDx8zwNjKfoFRLK08b5HXK1SLnupGEJRKReJIof2dCosRREECk97FAsltIZms4ETi1Lg+x5K6ayfHlEUY53D81LLWRiEFAtFnINCsYTnB8ig2BLwdVq0ulAoEHgalKa/PkAQqrRfeGgNngZrDH5Rp5WugcDXOAd+GGJF4Wd10AwalEJ74HugtKYQepRCjSQRxWIBrRQuiQkKAYkTQBAnCBDVBhCbUCwGRM2IMAwIwhKoGD90aEoovwFeHS0VxGmKRYXCA9Ki5dZatNYtkTYo4CB1D3XOkSQJzWazJdpycnJycnJycnJyPsqsPjFrKwetfYAksQSBR3WgTltbmWY0tClP47zS7H/OuVbsUnd3NyNGjBiWGdBi8HACxglFL72XNvXMb1ARGQ/xQ0RByaYCziWaqGEotYVYZ/CCQauNoVY3VMoV4tgj8NIU/HGcoDyFH/g4BHEOJWDiCN/z8PwA12hkZQA8cKD9dAjEpec2BvoptbenI5NZvIwoAhQuSSDopdo/hsCHsGKwzmKdoagrGNtPEBiwXTS1oqmg0y2DqElSWpO+ROH70NlcDOFoAAY8nzCKKHga8RQOhVIettGPCwp4fgFfIrCWRJdw0QBKKbyghJel9o+blrDgtaYyiWKwjqBSTAWzIrW4GYPvr/Yl/nJycnJycnJycnL+raz2ljVrHcYYPE+RJIa29jJx5hKXJElr42+txWbFs40xOOcYPXp0S7g1m83s+PQ4hVCr17DOQma5sVGMtQ6bxDjAiUVsglJQagsRAe15qSslUG80KYRFGo0mYaBbfx+0/hhrU5GSWYcAvCDAxhGiNC5JaMYGJ5YktlhrQGnEObwwTPsjqcuksanlzSWGxBisdbS3p4ZFYw2CEPppnJZWAcYa0AprDM46UCEUO8A52gLQSYKJ0r6bOEY5sKKJoiRtg7UoLLpUydw/Y2LnYb0QJCYoVfAKZUQsjWZMFBu0r3BWMInBJoagEKZZOwFrDXESI4CXC7WcnJycnJycnJyc/5LVSKytujp1vV7D9/3UWqUUzzz9LJ7n0Ww20Vpnaf1VK9nEYKHkQZEWx3Ea41YsEgQBy1esIPA9PE9nxZ0taIUnglcIKRaLeEFInID2FcpXDGbtUIA4wfN8+vv6KJfKGOsolcosWdJDkmXIKBRDli5dijhBKc3y5ctTgTgo2HwfrxCig4BiycfzPYLQw/M8oqiJ0h5hsYjn+yxavJg35/6D5T0rWLJ0KTrwKZRKCI4XXphDoZAKNkQQHI0GWAso4Y1ZswiUom/5CiBIBZtzaY24MMDv6OL112Yxb9586gOGsBBQKJWJogTP0ygxWDw838NXlr56zLtLe1ny9jwED4uH7/uEYcjLL7/KW2+9m1kSBS/wWbZkKS/PnImJI7wgICwUsNamQjInJycnJycnJycn55+yGrlBrhrn0iQZnuexbNkyDjjgAK677jo22GCDDz0niiLCMGyJo6E07qkbJEAjNlRCH+ssUe8y2rpG0LtsGR1j16an2qDcVqKQdKODEGwBKKQ5PJzDSRM/CBio9tPeNipraHbzNIkkN910M3Pnz+Okk0+ivb09i51zOGPS1yZNhFILisTNJu1tpSyDoxBHDTzfA6W44cYb6e2vsd7k9QgKRT79ya0pFkss653DtL1O5oYbb2DS+l0Ym6TWNcoo3eDMrx3Pi8/NY2Cgj/FrjOPIk85i330+Q8HFSL0PEeGya2/mj7fcRBQ1KXmOa393A+t9bCNsbCgFBm0b9PhdlOwA8dyX2e+7v2fWrFlsHrzF6Zf/kU023gTTPZfDvnQ8zShi5IgRHLD//px04oloT3HJxT9i5ot/4+TTTmazzTen0t7WGqbV6ClBTk5OTk5OTk5OzmrJar9nHrSQ1et1xowZwxVXXMEGG2xAFEX09/e3xNwg1loKhQL9/f1A6v44mMY9itLsjwIEQeqK52mPtq5OnLF0dnYi4mirFNNkHEGIjWNQmVnNgvZ0K96qNCz74KJFvZjEMNBfxVphl113Zb/99icMg5XurT0vNYWFAYQhnla0t5UQoFodyIRlEQV4mYXQiSMMQ8Q6iqUyL730d0499VSKpSITJoyhv9qX9slLXTWtgRf+9gIXXvgD7r33z/z0pz9h1113zZJGKlS5jK5UePbZZ7jlllt48smn+PSnP83DjzyGFSiEflq6QKn0nDjmDzfcwBtvvM4dd9zBd793LmeeeSbWOe695x522mknXnj+Oa66+moeevBBli3rBmDChDUolcuMHDWKYjlNVhInMbV67X99neTk5OTk5OTk5OT8X2M1Dx5KswpqDYVCQP9AD5dccjE//NEPufuuPzNjxgxGjx5Nd3c3Rx99NFtuuSUXXHABF1xwAe3t7fT39/OLX/yC6dOnc/XVV1Ot9dHdV0drzSWXXkp7KSu0bS0XXXAB3zrnHETg8Sef5oG/PMFl5x7Dr6+7htdemc+ypXVGjx7N6Wecwa2338T8+fOJ4iZHHHEMf5/5d1782yzaKgWsiTj19FNZtGQxi5csYeNNNuLJJ5/gxj/cQMH3WNbdzeGHHspuu+zGUUccQef6G1EMfWbNmsU2W23BWV87AyMOlCIxlo032YTX5/yDkaNG4fshaEUQFjjssMM4/9w/ABCGIZ7yaDQblIN2Bqq9iAiPPPIwb8wawye32JSuyRtTB0JroLkCV6uxzkZbMGrcWMIw4KILz+H0cy6mqSAgjdcLiakK+EmNR++6iZ/+6jXGrj2S9UdvA5fexhPPvcj4MaP4yrGnoz3YcIPJrLnWWowcNRJEGDtuLNtvvz3WWcQ5ImMIC4WVilfn5OTk5OTk5OTk5Kyaj4RYi5MITyu0FpYsfY+BgV5++ctf8txzz2GM4YEHHuDZZ59l++23x/M8Fi9ezMSJE3n++efp7OzkiSeeYPbs2fz+979BFypsu+12xHGC115JLUdeGi/25BOPs8Pu+/DKq69w+PTpPPTgfdxxx21c9+vbGDd+MvfcdQ8PPvgIixct4aknn+Yvjz9Cd3cf119/HT/+8VVsu+3W/PyqK1m6dCn9/X0sXrKYer3B6aefztVXXsUnNt0Ez/P48vTp7LHzrixfsZx9dtyez+03jSXdPey52y589cQTCTyf0PfRWvGJTbdgs023aI0G1vHxTTZm4jolPP8m+vrqjJ1QwolloNpPZWQ77777Lo1Gg1KxRLlY5LijjuLAUy/ixOMOJo4iwkKRZhZHl5i0oHjgB3R0dGROomn6/7RgNZgoJkkSrDWUAqBQYNvttuXVV17hR2d+iZ66QQi49Y93YJwlKHg0qg322GvPVihi5h2aJhjxVvNll5OTk5OTk5OTk7MasNrvmp04CmEB5wxtlTaKxSLFYpGZM2fy5JNPcscddzBjxgyOOOIItNasscYazJw5k4kTJ3L++edz7rnnssMOO3DwwQdz/W9+xdW/vB5rDVEc42uPZd3LGF0J2GSzzXj8scfYfNudeXPOHI4+7njqi4u8+eabnHfeeQReFy+++CJ7fGYvOjpGsPHGH6ejo4NKeQQTJ07k1FNPZeqntuKcb32DUWNG89TTT4IIc+f+g3q9zqabbkoxy4y41pprpTFpwDprr009snR1djF+/Hjq9Tqju7oYCoJbGXEOhUIEOjo6Wi6ZWmnGjh4HDqZM2Yj77ruPAuPo6Kow++UXeeDBB/jiFw9mlEtj5fr7+/GDgLZy6iIaL+/h3XcXIqThdL4TMAblp4LN0x69vb3AmtBo8Oabb7LRvhthkwQk5JBDv8jsV1/jt7+5jv7+Oh3tZaIoplAM/39eITk5OTk5OTk5OTn/N1nt/dHEWRITIVi6Vywlihus6FnGpz71KV566SUOOOAADjnkEAAajQY77rgj11xzDffddx8iwuabb86vf/1rpk2bxsiukfzm+utRWuNpTTNq0jmiEx0EbPOprXn8iSd4+aWXGDduHIEPURQzZsw4Dj10Ol/84pf50Q8v5TOf2Zvu7uVss822eL6mv9rDmV87jZtu+h277LoTF154ISefcjJJkpUPGIslgu0AACAASURBVDOGSltbmhHSGMQ5BGGglma5jGKDygpiR80IT2mctSg0GoUGPMl+AOX5WJNmU6xWq/i+wrgEUDhxxDHMmfM6Tz31FB1dnRgjTPnEJ+lbPI8iEUGpDKrEiDXXR6rduCRNuVK1RUaNHINvIdTgez7oAmVAVEg4ciIlW6UENK1P/7JFjBlR4qmnn+XoY49hu+2347HHH2XTzTalo6OMSUwrLnCl+WSool5OTk5OTk5OTk5Ozoezmos1QXup85zSUCoVqFUH6OvrIY5jpk6dypQpU3jhhRe4//77KZVKrLfeemitufDCCznwwAPp7Oxk1qxZdHd3M2X9KZx+xpnUazXmL3ibYqGIH/goz2PU6NHsu+++HHDggWyw/noIsNsenyUIirzy8muMGjmOCy64mNmz3qBUKlEsFImiBoWC5hvf/BrXXX8NW229Jb19vQz099NsNJg4cSKlYpHddt2VSy65hIULF3LqKafgez6do0fT399PIfCpFEN8BS6xBF6Ar9NC2a2fTOEoBygwJkF7isWLF2OM4OuAWqPGtttN5fLLf0EYelx00UX8/MqruP/Rx7jwims45rDPMqri+Pb3zuO1uYuxpVH0vT2bxx9+kBlPPcV/nPodNtzg47QrUM4BPoTtVID2EWPZ6YAv8fOLz+GhP93Nr/9wJyNCx/QD9+aOO+/hqKOOZuddduGV12Yxa/brAPihn83d4Eyu/JOTk5OTk5OTk5OT889Z7d0gFRD4AbX6AJVyhVK5xJQpk+nq6uK4444DYOutt2bx4sXceOONHHbYYeyzzz5cfvnlHHTQQcRxzJlnnsmMGTM46qij+Oz+X2CttdZixowZ7Dj1kxhjwEZ4hZA9dt+dx5/7O5tvvnma/DGJ+f3vf8f0Q4/n9tseJgxD9t9/GjO++yR+4ONpD609zjvvXC6+6FIefOBhpkzagHO/fy4L3l7A/NffoL29nfPOO4//OOpo9pk2jTFjx3LF5T+junw5kyZNotFoALBkyQo6OztJ4ph6rU65XP7QMfE8D9M0bLTRRmnBazSNeh0RYfTo0ay55mSmT5/OzbfcTFPgmGOO4bijUutjHMcEQYDWmoOmT+fEE05k3LhxuPJYdtl1V+JmRFAuMFxSOe3xuQMP5KX5S/n+ed9nTMnxrfMvQQM9PSv43ve+y8BAldD3GdXZyQP33Y+nIQhX++WVk5OTk5OTk5OTs9qy+tRZG2zFSnWxLX39KxjRMQKwvP3ufI4/4QR+ec0vmDhhQ6y1eJ6HtZZms0mlUmnVVKvValQqFYwxGGMoFouApWEUvq/pGagxur1CvVGnzXfgeyS1GsuqCaPGjiPRmjbS9P/1AUWjqhk1toI4UD4sW9pN1+gSKIevfUATR44wKBFFCYKjUCqQmATfD2jUamiEUrmc9tU5EKEZBNgYwhD6VwwwsqsdZd8/DkOYJMIvFECtYM4bCeuvPw6nDcYmGGso++0Y0yAIG/QtV9DWgRQ8St2vEwQh1cIaqGIJBbQ1FmNtBa9UYkni0+HqNJcuZUFPN05AlMbW+xk3cW3WXHc9vLhKvV7Hbx9FwXMsXbyEseMnsrzapKOtlPbLOqwVigUPSbP/r2RRG4zEC/5XF09OTk5OTk5OTk7O/z1Wc7GW+gBaZ6nXa3z962fh+wEXXfwDCsEItEoTkGjtIeLwPG9YEW2NSFrEWmuNUgonFutU+h5gTULgBygxOGuyu/mgNU4EjyZapa58ypVwBnRQwyZFfN/DqB583Za11CFOobSPQmOtI4kNxVKYZWDUKIQkiYEQL0sMkojGeWCso82BVYr0lgoloJ0QZSkaC6JwKk3R6OwAnurAOcAziAKUpl4TKmWHc00C3UYiQjURuoImWIP1O0hEUEpRMFVEl0Ep6mhCHK/MmMGi7m5QKm2jTRi/5pp8fJPN8MWA1hgLgVYoBdYKeB61epO2SglxgkJwVvD8dNwHp3a4C6TKZFtWyS1LmpK2a1V+krIK8fqBP610ngMlqzqKtPT48NPSYzQxLWOz6GE3GfRFBQbzZQo4bKvweuu6Lu1D2he90t3lv2z0KtqaZeQcfuRKt3yfY6kbNq6DY4vo9JDBXyUbz8HrWNA6fXhglcbDgDisLqRrUASnFAqLUg4nutXvVJCrleZPshus1G41eLtVfd0MdWhofVhAIwjisvkZ3nE1vO+C4KXniqAViAgi6WdfENL/JG2v1qhsANLLZPObrT2ndeuhgoegJEnbpj6YLGflGZOVv8eydjvlcNkTGI1GSfpq+LFW2ex+absGv5aV+hBPdRn6x4gBDYFN127TE4o2vXfkGQrGBwXOs2jnDRu77ObKYi1o5YFO22GdQpF9d67u3vI5OTk5OTn/h1l9xNp/gYiwePFi1lhjDUQEZxVetm+2TvC8bGPk7PvqeH2Iieq/wFrL4A0UVbRJRRn+MkjGpG0KunHx6OzvEQ7Q2iduOoqFAJeAFwDG4lQD7WtSmVIaNKwRIFQ9hcPR0QQbaCJtQITAeQROU832iG0OjE63kb7oITOVSveFTpFtcVNJoSULcnu/ZFAf3BwPf62HXVeGWcZo/VnQLtucOyD418fYYVtiIk3rP2zOVrEis33vSj3552LNDgX5feCM4QJS4bK/+9SAYvaGN+wUM+ziwWAHaNoGvu+jyDa6sPLGVsBZh3NpgXO8VYnO4Vk/V7EpttBazqsc5uFCEiwmu5JCtYSlt9LYDAq1wTtrycSRCIn2CKQJCDFlPNLkNlaDIkFjcIRZc9RKF1XD1dnw+2VdU6t6833rc/CdJKkSBmWss3g6yMYStDfstGFBnYnz8XQmlrFo7eHEpPpLBERQ2cmSLWyVCSfEpgOdzWGsvNZ6C3FoaWRjW1lpGpR6/5RkfZPstc3u5wsJcXauRluFJ/5QPQsNsYoBQdtUoA0KYKU8VskwsRaTYJSlEhfBwYqiZWTNgdZUSwltSbqmk6BBYEvZkLvUS0Bp0DHOaRQ+idSw1hIE7WjlMhmcuzPn5OTk5OT8u1jt/y8cxzG+7+OcY4011gAgSRKCIGztlAaFGgw+if7XxMPgPYwxhGFIHMeEYZhuAwUc6dN6SMWQ1xIOPkpnmzadPhMXaIlFpQGbPqlO/zZoRUrfE0vqDul5qVjJNuWBSp+E6/eLFhnc3X04K219RQ/9QUCyYturki8fZoMajnEGrTSeSq+r3rdbFRGsHbI2DVo0P6ydgzhrUXrYZn94o1Zx/Ie2c6U3VrUOhsSaet+RKd4HD20d8b7JUFAIUtHinCNJYpTWOCsUCoXWMUprtMrme5WN/ufzqT2GLI7/rfOHKe33998JVrKkPe83UimNNUkqbLSXlYjI1rAavEv6GECRCSA1NJIr9e198/fBpn/4bA7+5ulUFFubijUngrFC6L2/v0PmwlTcgEjaaK0yq1p22HBJaEktn97Qn1ovBi2Pw75Vho3TKkf2A31x1qGHn8RwxZ0NqBt+ZjbCStD6QwTah9xRk31/KMADDw/8wbb4rWYpgqFmiELp7EkMaU1HgIAiCpPNmcIY0/ICyMnJycnJyfl/z2r/f+EwDFMrV0aj0SAIAtTgpqrlLqRW+vdfvYeI4JxrXcM5h3WC73uAj83c0ZSkr7UGhZduZrN2GOfwPD91kUwcga8RUShPg9KIpP0QlbmJaRi2ewIniBKsBk95qXuWg+Hbw3/JDJq5fql0tFKX0MxaaIxp1Wj77+INbiJFMjczUE5aboTAStf8Z0ZbJy418mmVWp2gFYP4v8d/by0MHfVhwmm4Ih166ZxLLSBKEQSZxc3TWJtZd2VQvGdW338quj4MaVmLlVJYm95zZevxqtq6qvtI2hYFxjhEKTxPYZ0FpdB+gFYui1f08JQDUakNVFx2SZ26/IqkaxSy/qYPVFK3Yw896P66siH3X8ZZB0Eq6FdVCmIQ38tKXmTzkSRJ9hBHsrFK3amHxj91dWytNgWpmW3oYczQG1lbBs9/X4eGXEIlfUuRfs4SAZ2W1Bi01AXoVCQ5yT5H2bW9VPhqrVpumykrf799YHycBa3Sz6AzpE+VdKay0wdNqdUw7TMiLVfdzKyIOIXg0s8kGt8LsM7hEHw/jy7NycnJycn5d7LaizWAZrOZJQiBUqlEs9nE97PojsFNSbZx/p8QRRGe51EsFnHOEQQB1lpa+1N0y+USFbRGzThJa59pQHnphhHB0yCD4nFwU53FMGUXaW1kkWHP7bVC66GH4qmL0rDtopP37yRXYlX2CpWZAtJ/1X/L0vVhGqcVX5ZdTw3uC1dxfJKkcT4tEfM+dKtdgx1cRdsGTZUf3qR/wr8q1CCrZPchR33w74MiMzGm1U7fD4cEp4IkNoRh6vKm/0frM7NgtdYE/0SowcqC833mM61bCV+GX1RrnbqCqnRlupZl16bWZZU5VGZmNq+1+c9EqHMolYqi4W1LY0YFXw/v939vDDzPBxTFYilto+f/UwvdSncYJp6TJGpZqpRSrTlwqCHD1rB1NvirWsVvfjav739ANIhzbqW5H/yeGIx7FQQhi2NUkn0eBbQe5gZsW5/ZD/bsg2hv0PVZg5f6Vgsu9RvWGo0HOou5I0jnuPUd4kALKrNE+loTG5Xa6bTDZK7a/4MPX05OTk5OTs7/Eh+JyPFKpZKmqzeGJEkoFotY0yCJazgbATazdKmhkJjhP1lsy6reEiAsFPB8HwHeWbgQIbWC+OJSa5cZcidMXIDTg1FMhZabmIjCGsfC9xamwfqDG1QRXJyspGjiJM4SHQA2QbDZ1tFhTUxiI6wk2CQCZ1CDW0tnhro0aAlQQhqblf6kz9gzW5cM9dE4SyNqpsKCVTypX2m8DEMxX0MYm2RP30nfUw6bNIbeN6ZlnQyC4EOF2uD9ldLgHFEzwhjT2uivND8qi7FaqX0f5APzKqxUo274WKx0wkr17DxaQUSDYzD8xJVCrRxiHc5YAj9o9dc5R39/f2p5hNa6kmy+1PvmaNU/MjTnpEIodc9zNKPmP+98q/36A4NnoohGow6A76uWa69SEbGDBMA6IkgjrGwVR4JRAAaTWBpRek6z0WDQLBRk1hcRIYoirHOtoR2MeRweY/WBYW+9bbNxN4golixZikhqTbfWDFv3rUnIfjSIS2PWrGtZ4uM4zmK+MrdkhkRKFDWxgFWpiEqtTGmLjDHY9KOfrnc1aKnKWuws4mzqVjw4BSIorVt9acYJtlkFmw5YWuLea90f5UCblnXLOIiNw73PGm2tJY7jD855i4i4HmUulw3QDbyWS3V2LduLmJ70V2XSH4FGowZE2esq0CTwBv11Lb72iGO3yrvm5OTk5OTk/L9htbesDdYFS5KEMAxbgmDJ0kXccvPN7LfvAUyaPAWFhzO2lcTDGovnezhnMSYmLKSujtalWdkUtFwCIS00fdfddzPrtdeAdL9SsOlmyQ9DnKc46KCDuOX22zjooC8wad31QDycWLq7V3Dbrbey9rprI1q4bdafOP20U1vX1r6HNRFPP/NXXn31VWoNGDduEgcf8rmVI6vqDX71m2tZUu8DgaKBrqDEFp/fi4032DjNUpkd70TQrR2wTV3sPI84iSl4IdY5mn0N5r49n0222JR6o8G1117L4dMPZ9yYMZlLnU0TUWiVjZnB83ziuIEXhKk1yC+kx3leyz3KOouJ67z++hv8+Z67iK0mDEOq1SobbLAB06dPJwzDLLYwoNlsEoZhasHJsnM6Y9GeT7PZ5JlnnuXjm2zKuHHjAFr3M8bieanpTuIEPwiI44gwiwmzLnWbFBEcgnMylPnTOvxh4m/wX+fScdPZRlxJav20UYT1QsKCRxzHeH4aK/XWWwuY88YCdt1lFzwvTWYD4PmpIFBaY+KYG264kdffeJ1GM6azs5OJEyfyhYMPplQqc9vNf2S//fejXApRWfZSSMMVtVIY41CatK9ZS0Vs6kKpdBpLGaQlKh544EGmfXZay3VXRIYsN1mtBJMIYTDoCuihMyvO0mVLuPWPt3Ps8cdTLBVbbXj4wbt55Jk5BIHPaFvjPT2WSluFc0/eF0eABYgiFi7q5U93P8wJxxzMfff+mc9Om4b2fO6++y4+s+feWGv57W9/y2GHH87IkSNRQOJSS5Gvh1wmPd/DWMmshAqTrRNrDYND8MwzM1iyZAkTJkzgmWee4aSTTsI5k2V8lSzj61B5CNto4BWLLHznbe76830cd9xxPPTwI+y44460t7elMWQaEGGgZzmPP/8SO++5d+ok6Bz+sADRxx57jC223oaO9vb04cOgqds55syZwxNPPEFfXz+lSoW99/4skyZNaq0vEUgSwy+v/RVe1E+SGA498hi6xowh8zJEnKRZfGxM4uDmW/7I/Pe6CcOQTTdch7333huABx96mH+8OZeBgQF22mkntttuO9KpiCmEIc4JSJO773qU/T73BUIvAXEIaTIkiZr89taHqb/7KG1tbey857FsMGk0ixYt4uH7n2F53zsEhYRDPn8Gf3/lacrtlm0+OQ2twaoY3wuysiQ5OTk5OTk5/zbkI4BzTqy1rd+NMbJk8T9k8npj5Z233pBGrUdEjDQG6uISJ/WBhogTEScSN5sS1Qek2t8jUZKIFRErItVGXayI9FUHxIrIoqVL5DN77yVzF8yXWqMh/bWqHPelr8gJRxwty99bJo3GgIgkss12O8mRxx8p/VG/NBInjagut9x2k2y66aZy5dVXyoKFC+Sggw+TN16fJ2JFolpdxInMnzdLdtppK7nqqktl7rx5st76n5Bzz79MJDHSJ03plYZILZKvnXSSDDQHxIiVJI7l/FPPlK51x0t3PCCSGGmIyOKBqlgRMfW6mHpdxCVibSSxNCURK90rlos4kZ63l8nVP7taFix8R6yIvPTaq9K9YoWIiCRJIv39/a1xShpNsbERSayINKVR7xXnInHZeDWNlcg6MSKSGCNxVJObbvytXP7ji6XZbEqSJK3rioisyO4zfM6ccyIiUqvVRGwi9YE+iepVmfXqKysd24wisSLSSIwYEanHRsSKxPWheXWJWel+w+e2u69H7GDDnUijkUi9Eaf9SIwkxoiNIxHnRKJIpBmJJEZMNNQG6+rSjAbklltvlC8dfow0aonEDWndv97oEXFGli9ZJM8981fZftupsmDeXBERefHFF2WTTTaRi390iSxcvES2nrqtGBGJTSwiiYhYqderYq2TRt20rtlopA3o6VmeHZdIFDVExIoxaT/POussERGpVqutz0atWk/bbJw0YhEjIrVas3VdcVbiek1s1JRNN9kknQsRqTasGBG5/Kffk/uenCF1EYkXL5ReEflHj4iY96SR9Eq/iEQr3pPZs/4h++73FRFn5M3XZ4m4dMR3+fSOsmzZMhERmTFjhnSv6JFmYqS3WhMjItaJxLWGxI1InBNJzGDv0h/jrNQadUnimog0RKQh3/zmt0RE5Be/+IV8+ctflnqjLiJOkiTOOiUSx7HU641swhKx9apU+3rlxRf/Lkli5cc/vUJqjUhqjUhErCRJQ8RFIq4u5/7gB9IrIv1RJEYSsVG/PPTn2+W8b58l22w7VRpWpLu/JomzaSttJOISueaqK+QPv71eagP9smD+POnr65M4jtMmSDr2Z5z1dfn+D34okgzI9755hlx08Y8kEpEoez9Jmmk7kj65957b5dM7bi8zZs6WyIlMn36ILF78nixbtlj2228fqdVq8sYbb8jOO+8sUTNurc8kSddNUntbLv7BJdLdLSJ2sUj8nvSIkerbC+X1p2fIGd+7Qqr9r8rdd14uZ3/rMhFXly02/5gcdtARsmL5e/Ifxx4gO257gCxd+q5s8PHRsmypiDMiTdMvUSJihr52c3JycnJycv4NfCTcIOM4RmvdcgfSWtPbu4wJE8bw5puvUyiGXP7jH7Pbrrtx4P4HMn/ufBD46nEnMm/uXMJigUpbhSuvvpKBWpWnnn6Kgw85hE/vsjM33XwzjajJggULMNayzjrrEhYL+EHA2FEjqfX30NU1imJRs2jJW6BKzHz1OXprSxEUYai57fabKRcrJLFhwhoT2HXXXXn11ZewBsIs5uZvz79AFEUce+yxTJo0if323Ze/z5yJmJgAjxAfPM3y7mUUwpBavR9rEk44/jg2/vhGvPvO21z/i5+zYOFiOtoq9PT2c863z2F5z3L++tRjXHf9teyww3ZstvmmvPDCC8x8fiZHHnEUt95yG0u7l1Ft1PnPn/yYnr5evvyVI3jhb39j+22348Lzz2fFsmX84IIL2XP33fn7iy8CqXvWpZf8iE9s/gm+cuSR+J5uuXYaYwhCnxGdHVgXr5SsxGXWh+985zucf/75bLbZZhx00EEsW7aMY489lscee4xSqYSLE6782RU8+vAjzPvHXKr9A7zw/At8+zvf4WdXXsl//vgnRHHM6Wd+jb0+uzfHHXU0AwNVGv0DnHHqqfzl0b9w2CGHstfee/PMs8/SN9DP5w85iOf+9jzHHX88n//c51n0ziIu+sEP2Wefz/LMc39l6fKl+L7m2ef+yk47bsu222zJ8889Ddpx9Y9+wN13PcmGG3ycSZOmcM+9dzJr1iv88pfX8OyzL3DrLfeSJK3knpSKPogwcvQYli5ZSqlQZOIaE4gaTTbZdFOOP+EExq+xBvfdfz/Vep0Dv3AQs2bNYtZrL3PKySex5Rab85UvfYX+3n6cgWuu/jV333k3e+6xNxeefz7giKM6YVDkK185hj1234tLfnQppVIZYwyVSoU//vGP7LTTDpx40rHc/8C91Oq9nHzSWbzzVg9f/erpxJHh8ceeZL99pnHUUUdyxx1/pFwuk8RpJ4pFjXNQry1n1LgJWCBob6MBlDoBW+OVv7/IVrvswcEH7s9fHngIP+jANJrM+8dcepYt4+wzvsa8ufP49jnnsGx5Nw8/8giJSfB8jyeefJJDph/OvtOm8c6C+QSFkLvuvJdHHn2cr539HXbZfW9+/otfo5TOYtMcmCa2USWJLc1mxLZTt2PG88/xtTNP5+Mbb8Sll/2IWr3KTTfdyCGHHEqYWYBfevZZzjjlFHpX9DDzxZlopWlGCbV6k2IxZObMlzhwv/2ZftAXuPOmG/F8Py21EYQIEJsYraFSKTJu7ChMkuD7HlppbGLTeoYINonYa889KJdLTJw4kY6OdvwgIDGpJXTJsh4efewJpu0zDXzh8C8eTJKkrsdJknmOao2YCHxh8cK3OfvrZ7P55h8jSWCrrbdm1uxZPPjgQ+y3//6Uy2U22GADpk6dmn3v9eNsWsZAAL/ssWDuAn5w3i85YLdtOfKQfXjjtdlUxo3jyiuvYOqntqDSHrD7ntuzYnmdN9+cTUdHhXO+9V26Ots4/4JzWPhuN0lTMWm98Txw3+NEzbRqie8NrfecnJycnJycfw+rvVgTkVYs0KDLmzGGrq4uGvU6a645kbvvvIurrrqKr3/962y66aZ897vfxcYGPwh45eWXiBoNFsydS73RYO7cuXz1qycxbdo0dt99dy677DJe+NsLvDbrNfbddx8gFYdhEFIpl4GhgPzOzk4233xz1hi/Bnf+6U60hnffe5c5c+ZwwgknZi5nmm233Zb33nuPODagwCUJu+6+GzfeeCMAURwxY8bztLd3tPrZtE1cby/t7e14StNWbiMMQi655BL6evsYv8Z4arUab7z+equNt956K11dXfT19XHNNddwyimn8M1vfpMbfv8HCoUCU6ZMYfwa45k3bx7lUpk3Xn+dqNlkzhtz+OpJX+Xss8/mnrvvYfvtd2D27NnssssufPHww+nv7eXGG2/gkUcf4eyzz6YQFjjhhK9Sr6fxUoVCgXq9RhiGrex78+bNo7u7G2stlUqFRx99lHfeeYeLLrqI3t5ennnmGTzP4/LLLyeKImrNBnfddReFQoFZs2eBgvnz5nHHn+7gtttuY7311uP2229n/vz5nHzyycybP48rf/YzisUis2bP5rTTTmWbqduw1tprccQRRxD6AYsXLeKYY45hnXXXYaONNmLq1Km8Pns2O+ywPRdddFG6fhBOO+00vvWtc9h7r7248Xe/A2DhwoWcd955XHvttZx6yil8/etnM1Ct0tnZyZgxYygWS5TL0GxGDIUVKRBhypQp9Pb1cvTRR/PGnDn4vs+JJ57Il754OEuWLGH06NFMmjSJ9o52TjzxRAYGqlx66aV0dnVy++23oz144IEHuOzSSznmmGNYvHgxM2Y8R1go8t3vfR/f8zj1tNN4/PHHefrpp/F9nyuvvJKLL76Y4447jjAMOfmkk2k2mzz//Az23HNPSqUyL7zwPGeeeQZdnV1M3XYqP/nJT2lvbyeKo9a60xqKxQILFiyguzfBrVhBbTAcLY64+qorOfDAAznllFP43e9+R1tbG34Y8uSTT1KrVlt9mzBhAqViiT/96U+IwDe++S2+//3vUy6X2XzzLdhv//2Z8/ocenp7OO200+jp6WHvvfbmT3feyUB1AGMHBb+it7eXsBBSLBZ4/oXnERE6u7o47bRTueEPN/DYY48xfvw4li9fQb3eoNGMWb58Oa+88jID1Sq/+c1vWiUPfN9nzpvzOPLII9lqq63YZpttuOaan9Oop7GWvgJnDMX/j733DratqrP9P3POFfba4cQbuWQuQVAJTc6gBEEFsc2KCVQUL0HEgJIEFJVutQUbARsMLYIJEQyooI2IgHiReCVduDmcuMNKM7w/5job7fd7r+pX9XtP/dUeVadOwTlnxTn3nWN+x3eMWo1DDjmUD37wgxxx+BF0u10aSYyxFhUGXvqbpXQ6HV7zmtfwol125r3vOZW053sArbX9/rooDFm8eAm9mRl23HVXZmZnKUsIw6p11c7JsWFqaopdd92VLPM/W7BgPiueeIITX3Mixx5zDGmaYq1lamqKoixpNhpIBVGkKAtPAicmJlizdg1nnHEG9XqD2KQTmgAAIABJREFUr11/PeQ5q1etojXkpcW1uIkx3sWzKHKGhoZwFpRSLFy4kLUb1nLmmWdxyy0/pNsFo6uQ7v8vzVkHGGCAAQYYYID/1/i7b0goioI4jvt26FmWEYYhRdGjVguY2LyRLZdswXdvvol2u2D+vPk8FTyNigLecfLb+fVvfokQ8KNbfsjWW29NGEV8+CPnsu022/LIo4/QaDVpNJrMttscdNBBaOv7pRyOXruNMBZXggsylDKooMEFF3+c0047jTe+9gOcd95HePUJx/Oyl72c7//ouwAMDQ0xM9OmlgRYY5BBQLPZpNlqsnbtWr74b9dy5JFHcMYZH0AoRVp0SaI6si6ZnNjMe9/7HqQUmNkezz+6gvMvP58kitFlyYJFizFAktTYauutKsMJx0mvPYmTTjwRqWL+9MBD7LDDDlxwwUV87cYbOOnE15LmKVGtBkKQFzlXXHEFhx9yGA/cdz/t2Vmuu/56pjZt4uc//RnGlDz15Ape8YpjaLWa7Lrbrtx08/dZv3492223Lc5p4jii3Z7lj3/8A1dddZWPOjCGPfbYg913352RkRHOOOMMdtttNxYvXsx//dd/sWzZMt7ylrfw1FNP0Z6cYIvFizniyJfxx+XLEXgHvyiKufHGG2m2Whx6+BHcfPNN7Ljjjrz2mFfwgdNOI8tyiizn9a9/A6eddhqF1hxx5BGsWruadrfDF7/0JQ488CB+edtPmFi7liu/ejVTs9P8+Ke3EkaSn95xG/sd8E9Ym7Pvvnty0w1fZ+OfHyOSljOWfZCDDjqQAw7Yn3sf+DlxFPLmN7+Jr/zbzZx00tEYDY2G75crdYooFdZZdtxhB7797W/z85/9nFt/9CM+ccEnGRkeYe/99ud9p72P73z3Zi68+CIS5TjppBN52ZHHUhQFtaiG0ZaysAwPjfCtb93gTVlEwZ+W/5H588a47daf853vfJNtttmWY44+llNOeTe61Cxduj0XXPBJxsaHWLN2ax5+eBhtUnQJH/rQR3j7207iuFccw2tOPImPffxD3qDDGr7xn98hihRGO7QTnkBQcsttP2HFU8+wZMMKHh7bnd1fugtv22Yt8+aNcuay97OonOSsvMWN3/8tRhtqUcyW227H+973Pn71q1/x7ne/GyEEtVqNzRMT3HPv77j4U5/isMMPI3aQz8xw6acu5cBDD+P1r38jZ517NkJKvvGtb/LEihXstddeWKuRytHpTLN40RbkecnCBYtYMH8+H//4x4jjiP3225cf3XIrL3nJS8nznCBQWGMosh5LFi/ClSXzxufhDCgVorXhW9/6NjvtuCPnnvsRlDAcddhBfOMnv8bgjVRiKUE6gtgHnJe6QEpBXhREQUBZ+v7KIk/ZYen2fPbyy1m8xRK+c9PNfOxjH+Oyz3yWJKlRWu8alJcl07MzLN6uhdUZRhvCAHQJaW5oNZw/Xm+SOA74859XcOhWS0lTTRiEOOdIagluxHH77bdz991389KXvpQ4Cnn6mWe568670Fqz9957s+/eI2yz5TZcdOGF1Eef4IhXHcWpH76W9sRmwiikSDsYW6JkQKs5zpZbLmannXbgrDM/xOFH7cL9y39CZ3YE6SRClqxZvYmkBlI5dPkXIeQDDDDAAAMMMMDfBH/3ZC2OYx/MqhQ//OEPmZqa4h3veAfWaiYmN2OtZtXqVVx80aW85oQ3MTw0QlpVgPbcZy+uufYrbN60kdtuv42v/ed3eXzF43z28s9ywIEHcNhhh5EkCWmWMjI6ivfhcyipsM5RFjlxGFYRAZAVPcrSsv3SbXjRbjtz0023s2Hjeq77j2vZ8FyKlArjDM1mk7IsSdOSeqMK99WGBx68n49+9KO8450f4J3vfjdaA6JECYXFQJGzYOFCLrricrI0ZXxonEvPPpd/ueIKXnnM8QigKEsEsGlikm6vS2t4GBUohlpN4igCAsbHxomTGDtTVnbh3pVv/Yb1qECRZX5n3VpLkeccdtih2CwnimKM1gSh8mYPSvH0008zOjafN7/pTQjhA56LoiSJFUI49t77n3jnu0+j0Wj4+zSGFStW0Ol02GqrrTDGMDQ0hBCCXXfdlbPPPpuPf/zjvPLlL+eiCy8EKVFS0e11GRkZYastt2TJkiWsePJJrLMs2XJLumnKaFBj6dKlrFu7hsWLF9NqNlFSIaSh1RpCqYCkXqfRaFDoAiEEu+yyC2AxtmR4uIV1GrC0OzOsXPkUYRhyzFEvY8H8MQIFQ0MNpqdnGRsbYrttt0FKTyBHR8cpcqg8OZidTWkOC0QJQVzjnrvvptPp8P7TTwchKUzJ9ddfz/d+eAuvfPWrkVKyefNmhpOQG7/9bb538y3st/9+1JIRhodGcEaiS0NSr9GZ7TIyNMTqVU8zf/58jBbMG19EGELedbRawyAkv/zVL/njgw9y8CH7s/U2SxgabiKVZd74Al73utd6cxIp2WmnnZBK0e202Wfffbn+G99Ca0MtecEbMQwF7z7lPez54q0Z6c3yeDBEMwL35DNsueUSqnRAFo6NozVIZ70kVmuGRkeYmZ6mFtcIo5Bur0cQBrTbbfbeZ2+yoiCOYl5z4gl86SvX4Jyj2WpRS0KKAhYtXky9XqcoC+q+sMb6tWtJkjrO+srYDkt3oFGvs3liE7vssjO3/uhWGo2GH6/G0Gw2KIsCXRREtRozMzMICdoYOt0uE5OTjI6OkjTqoHNGhoequIK5uHMHror+kJJGklDkOfV6HSkl7dkeIyMjJI06J7zyVagkASSvOuEE3vWud/crrUoKSq0ZGxv3USMCep1Zut0uRQ5RDHGgMDojTWdoDCXMzM6waNEilIIkCej2ehRFgTGaCy+8iIce+hNf+tKX2GWXXeh0ekxs3szQ0BBxLfbXqwSjI6PUE8AVoBSLFi4ijmMmJyZYuHAR2q1AkTA1NUu90eD6G27g6cdznlt3L684YS/Oed8dzFs4DxsPo0vHhvWwZQuCALIMgvr/uc/3AQYYYIABBhjgf4+/exkk+B4p5xw33XQT3/nOd7DW22tvu+22DA0N89Dy5Xznxu9w1llncfiRRzBv3jg6K8m7Gdtvvz233HIL01PTjI6N8q1vfpP9D9iff/2Xf+WNr38juixp1BukaUq73cYYQ6lLpPCZUY1mo78YE0LgnKMVDvH2t7+dr371qyxcuBBnHVEUUuQ5SiimpqZQKqBeDymzHIxlanKCZcuWsWzZMt71rnf5RVAAFCWxjFEoaDZJ05RGUmd8bJyyLDj44IOZmp5iujONUpKh1hC5homJzQwPD/Ps00/3HRYNFoOl1+uiM8309AzNpneGK4qSLbbYAoAgUCjp3QVHR0eZnp5BxjFlWRIEAUIIlJK84Q2v57TTTuOk17yGXpqyzdZbA55AzyGOI5Ikqc5R9DOuarUas7Oz9Ho95s+f3+833GKLLZidneX3997Lzjvv0n+/rWaLyclJEJ6Q1ut1Fi5cyCOPPkojSTB5xgMP3M/2O+3M888/jxCCIAh8T5HRaF365x4EJFGCE45Ws0UQhSRJQqfbJctzgjBkjz324PQzz+Kd73oXO+ywg5fYBoo8zxkbG6LXK+l0O+R5hpSCXq9HksDkpL/nZjPxBD6KQGueXPEEd9xxB71OB2O8lf/WW23Nhg0bfMWlLNlmq63YsHEjeVFw66238tnPf57999uPmZkZohqMjY+xcf0mmkMNstw7Xk5OTqKUZM3a1eQ5NJsha9auIe2lLP/jH3nbySdz3nnnse+++7B586Y+KQyrEOmhVos777yTzswMreFh7rnnt0gpiaIQrV/ooZqrXncqdeRcn5IKQ1Y9/xxZNf6fXrOGOI4RFUkiCOi1O8S1Gtr4OYpzGGOI45jbb/8JzSQhS1OuueZav+kSqn5shDG+37HTaVOLahRFgU1Tdt1tV2Zn29SSiCzLePyxx5iZnWXe+DyWL1+Orc4hBARhiHPwzW98g+HhYco0Zf78+czOdEiShLHRMcbHxnns0cfIO11QinVr1/Uz8gprvRuqkP7GtWZqaorx8XFqUUiee3dPrTUUBcuWfRCMpkh7bNiwgXq12QNQloYdttuSzRMTrFq9Fqyhl/ZYsmQJUQx5BqaSHjaGhil7HbbeZmvuvvtupqe95HDtmjUcfcwxFEXBmjVruP3221m6dClFUdBs1jngwP153etex/HHH89ee+0FRcbqVauqF+bLYKvXrCaKI4455hgeeOBRYtUAJHGtxoYN6zn55LcShiGHH34g1hqeffZZGrUGq1evJkkSxscrh00DVbzlAAMMMMAAAwzwN8LffWVtLldNa82ZZ57JJZdcwkUXXcQDjz7Bdru+nKVbLmC7XXblvKu+zj6LBJs2TbDiiXu58TfLOfbofdh96TZccOUP+einvkYtkBx+wAFcffXVXP2vX+DxRx9ni9YYX/vyVRx7/PH89Nbb2XuffYmThFRrsnrChplpbM2gGEPamFZtlkCPctBux7LVwuv5xEcuQ9kWTmwGoTBOseLp+1m4cBQsqGgSVMA9dz1DUncsf+geli9fz8hCybbbbssJx55AMZsyNDREKUtEvUlZeGvyME5Y8OIXMS8eZcPTa1m6x1584iMf5fDDD+fxxx6loyWNeVtQW7uRvFiD0CGBktQChwgyGvMdd9/7C4YWD3PMy4+h6GUIbUHjZU8IemWOiAIKYShC6IYGnYYce9RJvPWN7+aIo47muedWseNOO+GMQRuBkiBVDeXq/PTHv+H559bTS1PqrWEWLlrCca98FS4MKRFE9QZrn3+OJApxZcbLDjuAX9y6K2uGdkLLElfmhKT0ojrdcBRRX4CSmu3HFZeccTJfu/IL/HjnvfjTw3fz5te/HptqopEGOoSOzGnqmKQrqRFgmoJumFHO9hA2wAQxWInJBDIPqOsaRx94ND+98TY+c8HncNYyOTHBi/c+FBuPktczurpE1CTN+iJC1WDJvGGKdCX/+e3rOerYY3nRXq/gjGXLeOs73kmkDWVhOfrV+/HA8nWcfPI57LHPfKamZ1i58lk+dNqFtCLBNksizl12Hie+5nAWbzHEJZ++gAULFvDnJzewes00h778aAoX0hgepjQghKLIM5YsWcL5HzuFq798KVttvS0r16ynlgQQSPbc52C+f8tPeXrlWiY2bSQvEn53z2PUmyl5MUmrNcQnLjqPL195JR84+0Nsv9123HfffdSaLZyUaJsTRzF5kVOygM99eBm77747M71HiOweLFy4iGXnHE1Sv49/P/vzLFiS8/BDT+EKKF0JtRBtS5yCF+/5Ei7/7Ke56OKLGR8fZrgec9F5H+W6665j+X2/pdSWBTtsy7lvfye/u/f3SGkIHMRCkEhBHMWUZYGKmiCbCJEwvf45bKEJnCVLLZdeegVJvcEvf/kLPn3ZJey04w7suO0WXHr+uRRFRjo8Rm94jCKpYdHESYjSHZTpcdopb8XpHh/6xCeJkxprNm5i1112Js56NGp1rAvQIoIw8TLoeoupmUnmj88nLVP2OWAfzvnQObz9jW9lj30P5R2nfIA99tidRx99hEs/cxmjw3Xuvvsu7rjjZ1x00QV88XPn8x///ll+uWR3/rj8j5x++vuJgEL3cCLABgHWBoT1rdh7v8P4+Mc/xlPPrGBkdJTNazay3dZb8Y0bbsDqkssuuwxrLXEcc8ZZZxPHMVYKjBOIQKB725C7GT5w1qlsu912TExMsMPCcfRQnZPe804u/fRlfHpqJ554/HGOOfZYxke24+VHvJb3vv+NHHzIIdxzzz2cc96bGZs/xgP3TPOi3SOiVoE1LYIQSl0Sy/91XuIAAwwwwAADDPB/FsK5/5bC+neKXq9HvV4nyzK63S710XGkhDhdRx40ScMWrXQTTigUglXlKKMtaKUzbEiHGB0TUGZEYYQuC6QTyCDGlSWz7TZRPeHII1/Gz+78FU6AcY4ESJLEZ0Mp5c0Dqqy3OI69EUkU9a+xNAahFEceuQ/X/vsNbLflroT1Sco8Q5otMOFGojAmTVsY1aMW1XDlCwYqcz15tf+2nT09Pc3IyIiv+gmFAE+YgDQrUNIhEERhiBCWMs8Io5ii18VFMSqsIYAsz2jENZ/z7LwhgqyCrQyQ64IwCCmnp6i3hkl7PcKkgbWOIFQIr3zDmpI4qni+0RDMBecqjAUhA6Y7HVqNBlL4KOBer0M9qYEzYC3rZMJimVH0ekRRRBo0yUpIQrBZSj3MIU8pklEm85C4VhIXiroIaese9aROgSXpWIgCCGFGVCWhzW2aw8M44TO8arWQmZk2w8Mt0m4X4aDWqKqBaY8oqeHygl4tQecZ9VpC3pml2WiQtWcRQhA3W2hj+PI114KDU087jQYCrSEIJ+i1x7EWXLCZWpxgjKamhtk8Ncm8+YoVj8+w8y4LQZRAyMaNG5m/YCsefvQpdtttKWnqaNR8xany3PT34jTdmVnqjSYiqpMXJWEUYoFOJyMIFPVaSFkayjwlSmrkeU49ScjzotroKOmlKUOtIRzeoCcMQkpdEihFlk4h3DD1egBiktmpMWo1mO6tYP7I1hRZAmGbOKxTFIowNuRZTq1WI0173lnRWGq1Gp1uB2utP5ezZHlOGMYUWhMEIc46wvCFPaKnnnqWpUu38wYjSpDmHeI45nMXfIaPnvcJRBD4aqu2TE7NsGDBKLosicIQdI42JUEUkAmf6xcgSaow9l67Q73ZxBlDJ+3hhCCIQ8IwJi9zktBXiJ1zIF4IzZ6b70B1XQHtTptIhtTrNdI0w1pDHEdIJUl7XRqNBtoUPrtPeOOZUDWYnu4yMtJg3fqNbNy4kVazQZanNJtN/vzkExyw//7EtYg07dFqtsjTnM5sm/H58yhKTVGafiUyqaTGWaGJowDrIMSSdbvUGg2MLtFliQxDVKDAOUpjQAomJidZOH8hygrKvCCsxXTabZqV4Uye5xx55JH88Ee3sGjRIh/oXjWs/UPILwYYYIABBhjg/6f4u6+sdbtd6vU69cqZsVarEccxpYBuqn04rFC0u4aRRoItNCKMaPaVeo56wy92ojDElCWddoeh1jB5t0vcaDA8Pkae57ziuOP46Ec/yhe++AXf55X53jdZSaaSJOlLxiYmJhgaesHNcXZ2lqTR4gc/+BFKKbbfdkdExWHCMECXfhGuTUGtJjHiBUJmrSXP8/45er2eN5rASy9HRkb61yEBKaDUljiQJLUInMMaQ6/Xo1GvEUb+5vM8p1FvYoEsT6nFCXnuKyoTmycYHRul200JgoAgjglUgEBQHxoGBEmziTaOMFKUpSPLMlqtBBGEUIWTCwGd2VlaQ0NYZ3FO0Ol2GGo2Mdb/TSQF9aQOtvQuC2FIUK0AgyCgyDLaskmr6o0JI+F9yaOYQluaNW/4EiBAO+pJHWMNqc5IqudojYEANIbxsRF63ZR6MyGoTCbiKAJrvWRTSGyReqmrkkxt2MDo+DhKCOIqaiGKItJul6TVAmBy8ybG5i/g9ttu5wc/+AFaG0qnCEM/tqrhiVMNH9Beuf2NjMQYl7PzzlsDBUWWEdVCFixYQKkNu+22FGchSQR57pBCECgf4Jx2O8RK0BgeBnx0hVIKY7zxQ6tZq8ZeG6UUraZ/1yqZkxq6agbAUOU8KhAUuSflaUXgGvUGuMDLfYWj2fRh2QvGF4CFIAQjBGWpCQPlzWCiEOuq54kgMynOWZqN5l/N36SWUGpDLa5Rlrp//e12h+HhJkuX+kBpYwyBCgjDEIlk0ZItuO2223jlCSf4e7CWBQtG6bRTmk3/jhAgpCCdnSUYXoAIQ8Rf7D2puTmkFL1ej/H58xBSkZnCk70KQghcP27ef8vyjFpcw1RkrdlsEiBI04xkrnkRh7Xe/bTUJVL68G8p5F+8fy+jvuk7N/HnJ//Mpo0bmDd/nNHRUbQu2GnHpWy99dY+fBtQUjK+YIE/urF9GfPc54OD/kZJWRrCUFSyZD924nqdvMgJRchMe4ZmqwVCMjY66u9RBISRv/dmq4Vz3mX397//PUcffTSNRgMlFY4XiOoAAwwwwAADDPC3wz9EZc0Yg3N+4T+3eKnqDuQbnycaW4AOaiRk6LwgiCNSarS7hgW1HK3qpKkjkilxXC3uS4MMQrDWV7WCgKnpac47/wI+89nLMdYy2qjjnKMsy36P1FyEgDEGay1hGDIzM8Pw8DDaGD7z2c9z1FEHss9e+yNdSC9bT73RBN2EwNt8O1enm3fQWtOsNT0Jqwihra5nLrcM+J+qbd5+u6DX6zE6Ogp4Ujtn8pGmab+PrJdnyCgkFIqiLEjCiDWrV7NkyZb+vv+islbogjCIUEVKWRpv/hHVkEpizAs23lmakcQhzlofa1CtcQtjCFSIq/bi/QJceRMH63uM5gjEpBaE7Q20xkahNBRhk3ZXIxy0ooJidorG+CjTmSVKmuRoGlYip2cQY/6eU2dpFhakICtyskYdC4w5i3UCpKAsDUoKAiVxziGEwGhDr9umNTxUXY6/pkIoyqLwrpTCEwQx58IxV3URksmpKYZHR5mrqabFBmK5kE5HU2vkRFXFpj0TUG+UqECDS+jMdmk2Ih9gBZRaYwUEKsQ6h9WGKAxJuyn1OPElDVHgrAMHIohxwPRsF4RgqFUnz0vqcVVJ6vUojabVGqLb63oSBmRZWuWYQVF4I5k5MpLnOc4UxFELpcCKDtI2KQqIah2cjbAmQoUFOAUopmemGBkZxlpHp9shqSV+HFVzxTnvVtrr9ajValjnUMq7h+R53u95zPKSWhySFwWB8mYxUlTjY9003//hLZz6vvfQf0PVu3DWsn79erZYvBBnNEJJCqHodbsMNVpsXL+ehQsXkqcZs7OzLFi4EIQ3HDFYpApQCITzcuO5uTeHuSr+HCYmJhgbG8Mahwp89bssS5RS1L2zR1WllAghsNbSS3vUkyHKsiSKfNUvDEM//qqmwE6nw/DwcDVXPJG1ZYEMQ6YmJmgNDROEERMTE4yPjzP3Qd3pptSSGqoiqo2W/0zsdbsIKQmjiKAaYw6Y7bRpNJoURY7LDY1Wi9npaeJaTK+XMjo+xu23386uu+7K6Pg4Q60WxlpsReRU34pmgAEGGGCAAQb4v42/e7LmqgUV0CcxZVlSWolSklgWaKHoFYKhyKLLgiAKmc0VtVgRlF26ZUi9HoEtMaVGKr/80NoRBgFFWSKlRAUBeWWyIZVC4fpRAX95HVEU9cnaHInrdDqoIAAhcSalFjfABljRJghCrI4RQe4rQDRAGBACqw1hGKK17i/s5kjg3AJv7lyAv948QyhFGHj3vUa9gdYabXS1IPSmG0EQUGgNKqAscpJajTJLqcU1siwliuJqQRag8RWGvCyoC4eQChAgFca6vhTLvxTrF9XOYcoCwgApJaWxSKnQxlbVBUugAqwuK+mmQCpJkWXYpEaNgjLNCcKIUtaxxqBCBUYTCovRBSaIyZxCKklgCmrW0rUCKQVahrTKDJTECsV0EACOEZ1jnAQZICUIIbHGYq32pME5dFkS17z7pVIKZ6030qhy/QLn0LokkL5KZh1YHE4qgiAg15rAOqIowNgOihbGWCw5Qki0MdTCOg6NNgVSeFMSZx0Ig3UOlEMq5UOkZUAgA0qtCUSA01TXWyJVAFJSaocTAhUEaGMrEmeJAuWJt4DCeAI+J8WzzhEGYd9hMEnqlNpvPnhJYogtS6QMEQIK3SYOWljriZuzAZIIJ3KckygV9MflnCGNUsrPycoYJssywihCSekjN5REG40SQZX1VVWbtcE5i1QCKQROaKRwXkqoY6RSpL0eQVTDs1WBEHOZZoYoqMZ5GGKEz2CUgC6rjDApUUqR5wXGauJaDUTljmodSniSJoWgzwRxaO2lh8aaqrLkMNb2c9vm5oLWmjAM/PUiKMuCKAr7WZBhGPXNkPxGj//7PC/6nyNzTrdSehInAIToS6KFkP3PBOu8OVBZlggpsdYRV9EFc89GCOkz4bT2xzeGsixJksRfkwrJej1qSYJ1DiGgV8m7AVQYUBal/4yU/j4DMRBCDjDAAAMMMMDfCn/3/wqXFZEy1aIDvJtaEiustpSZQThFEikQqlrYKRqxIkszpApIanPVHUtU7epb54jjGKkktaTmCZl1JLUYVy185xY5fjEl+wHQupIAzu2Qg5dn1mo1yiKnXm8hpEQGkKUaCJBSYK0EESBwSOkXl0opskpumSRJn6jN9c3MzMyglOovirGaKI6RFXFs1Ouk3S5BEFCr1SgK7R0JqwReFYZIKUiqypyxBoQjCCRgq8Vn5bgJBGGEUBJnfKB3URQIHEVRIgTeOVJKyirFVylFWpQ4JEpFFKVfmAbKZ5BJKYiiiDCMAEmRF0S1BGUNIAhrMc4JAomX2DmwxoFQOOWJZ01Jv4h1FqQhimKU8lUKAge29IQKcAhkIBHCIZXw1RRrEFIQhhFCSoT0zng+qkEwPTOLqBblYeDHSpZlSCRIb8QShCFRGBMGPosrCgKs9Q6ISsakWY5UkjCM0dpSixMQYKzEOolSAmsd0kmsFUjhn5FDEwYSKS3aFISBwmiDM15qKMMIYy0I2Sfifg5IpFJeNigleZ4jhScAgQpQUqFUQBiE5HlOGAYkSZ1169cRBj6OYk5qG4Shl12mBXHUYGq6jVQQqBghpSeIyvcsSimI4xrGWMIw6lfMylJTrzeYnp6hVksw2lAUJUoFOOtJ1Nxmiyd3hjBQRJE3xSnKApwjy1OUkL4yKkAEEWEoMdYSBpIgkERR4MetCnBCMTMzi8QhhUUKQRSFRFHoN06AuBZRr9cReIJW5CmBkF4GK2Q/ABoA9wLJE76VzcuSg5AoivrV2blNnDwvkMITQqUCnBPkub/vLO8hJURRgHUGFQhPTqWXLs6RPlGRRSEUCImUirLU1GqeYM39Xpb2/NgLQ5QQhMrfn1BetiikAiEoipI4rrF584SXNSer0mAnAAAgAElEQVR1BMJHkmhNrV73hFAIhJA0Go3+545AVG6witnZWeSAqA0wwAADDDDA3xR/9/8Sz+34hmHYl/ZJKREOklgi63XKUtOb3IxD4lA4FMqVDMWSnhYE0iLcXL+PJxNSKpyAqZkZwGctCSkRFgIU0r2wmJ0jTmEY9omTMYZarUYQBP0FnKvs0kF6q2+hQdRxBBQ2ReIlZVI5yjwnkKrvdjmHv6wiSin7cqw5eSRCYfPcL+CqalvSaGCNwWlDUov7i09nfN9Lp5tVx3DUkwSwFEVGqXO8UMrL1KyxOOufhpACp0tvBiEEYajI8ozR0WHK0hsUgAMJca3BZLvr28yi2FcZdEmkgv4AK3UJUiBV5ImHzIEARIiREUKXKKMJ8NUDLRSdrEQJR2i7ABSmBNHDWV+l8z1WOZgOQjryzDdhzk5vxDmDQhAHIaYoUeKFyklRFligl2XIIGBoZITSGpzWfhGPX7BbfwJKbasKSel7BquHa2yOEBZnQ5K6QNsexkAc+T4uhPEL87CGsRbhBCKAMArQ2leYBIJc51UVx+ftWWdRff8WgwoitLZY8MTNH72qDgFW06jXcFWfVFHkfzWH4jjuV2YXL1pMnmcoFdDt+eeqS0uWZ9QbEc5KRscSCt0DF2INGNulKBxBEAKuX1nrdrv9c8zNlZGRkb4Rz9wmhJ9DmiCQ5EWGUoIoUv04h1IXyEoiG8eRH3+VPLcWB1SFoxdkkNUmh389gqGRMQQWWZ0ny/xxlfSWIXlu++MfHIGorOl1+ddzrjrR3KaQkKIf9A2+b0wpRbfbJUkSyrL0/bPVd09cJbU4QcqAWtVLBs7LPP3lEoaKvEireSf7ZMy5FzaA/lIWDZ7Qtar+yblrlrL6nMFvYFlr+9cGMH/+/P69zB1LBgHd2XY1Tor+sf4yjsP3nrq/koIOMMAAAwwwwAB/G/zdk7X/JWyBcyWZ9n1Tw0MNssKQZgVZYcAZsrSLCCKs0Thr/O6z8PIihyMvC5JGvapc+F1vayy+vENffqiUX1g65yoJlqNWq/UXo/2qn4CyKMjSAusMRZkR12Ly3OBcSV4USCEoipQojLHa9Pvf5r4HQUBR9U3N5cvN7a5ba7GlRoYx2liQEqs1zlhP1gCsrw71Omnf5KDVqJHnZVXds1hriOK4coT0/z3nQygAXeSevAaqugaLA6yZk3Spihg4rNZkZUGr1UJb6yt3AJXEKs9zvwAVwpNhJen2UmyR080KDBIrvITMlz8N2vgqWbPRRJcZQhgKDbXIEyBjNdUr83LS0IeZ12MoShgabhEEAmcNaa9LHEfkVRaWLY2/S+d8z9YcoXCCWhzRnp2hou44Vy3gpUQgCYKQNO2Rpj0kFQnC4BykWRshTUXcIe3lGFNgjfbrdeFAWop8bvHsI5mzoiQO6kgR0EtTJL5yJAJHUWSoMCLLcqSUpOlfk7Ag8NI5a/yC3VZ5c1EUoysikmUZRZGjVOBd/4q8Il3e/MNXHUFIS6kzytKP1SiUOIuvwAqDECFlqSnKEmNsRVw8o8yrzQNjDGma9Ylbq9UC5wlUmlbkpKpMF5nfPPGVLF9h80RYoI2m0H7MZXkJOKT01bs8z3HWz4m8KLFOkJclzhqytIezthqfoI2XPBrjqvP4964q85WiLNHay6KtNZiKkIuqkh8EIaXR1XtPieMI57yNvs95E7TbbcIwJE0zdGmq4HqN0XOGJX8psYQXNkckadrFOoNzBq1zwCIqGbGQEq0NzWbzLwiXoywLP/6Ef99BGKKNxTjnN0GqDLyi8H8TqIBut+tJf1VZSxp1yqIAIcizrP85N0dawzDCOl9p00YzwAADDDDAAAP87fAPS9acLbj7179ksp35Coj00jlkQBgpcJagLCiM8wYZZYnWJRZHXKtVErKoWpj4RUoQ+N6oXrvLyqee6RuKGGOIoogHHnigMlDwv1+r1ej+lQSx8D0sWiKERASWRx55mjvv/D0/uePHxHFEL3U45wmN1a5fJRBCMDs725cw+sVtJWurqndSSmTk3R+juMY3rr+BX9/1ax55+E889+xKVj7zDA/cfx/PPv00cSBZ8eijrF29FoA4Dml3uoBj3drVPProw6x89hnuuOOOahffkxMHBFFEe2YGBKxa9Ry33norP/rRLZhKxqa15rmVzzI9OUm702ZyehaA0vgFdqfX8TI9Ken1OqSpd5zsdFPSXKPCGlI6wlqdTlZSGKDMQReYtMOTK/4MQKfXI1ACujOs+PMqJjdP8af7fsvaNRtwzscXkLYhgA3r1jI9A1EIWdZFOEevPUuSJCx/8EGM1jz37LNMTU0SRxFSCLJeigpCpqZmUEpidFn1FPrnPjU5zZrV64iikPXr1qMLL4sVQFnkOAwSx+pV60hqEYHEV8csJEmMUo5Vq9eB8wtrFUiimicyzkGel+AC2p2UyakZ6kkDEHS7bRCOKPYyu063yzPPPEOSxNCn1b4iJqVEBgE6z1CBIk0znnrqKTZvngBgemaaKIppt9sURcH0tA9Xd3iNn7OWPC+II4UQmnVrNyKEoZvN+H6mbkEchighSdOSqckpwiAkUCH1ekKeFbRnO6xbtwGcIElqfemcNY5emiGgb6ThnCNQAcZoZNUTZbWmyPN+RXBqcoLZTpvZTkkQhRSF9mRZKpR4wYxHqIAg9M8v73UJpUAJL/fTxrJp8zTgK1n+M6NyXAwURvu+LOssjqq3LwoJwtDLT5VkanqqT1gcjqmpqf6GilJeZj33nOv1BCEEaVoShUFFlsT/w5eXVwdKVYHpnqT5XrSMNevWI5UkL3XVhybodLwZ0dTkJNZokqTWl6Q6qHrPBPfdfz9eTin7hFwp5UPijfNy1Kof1/eTKmbbs3zpS19Cay+fnttQcs71JZEDDDDAAAMMMMDfEO4fFM+suNcdcfBu7sGV61ymu86Vm13unOtp5yY7zrn2JufKtpuyzjmTOWcyl+c9Z51x1hk31Zlxs3nqumXutHPOOOfKQjvdK933vnmTe/kBh7ssy/rnm5iYcCeccIJ77rnn+v8vz3NnrXVaa+ecc0+ueMKddfr7ndPO5VnqTjnt9W7f/Y53L93j5e6AI3d1W2yxm3vs0bVOlzPOaed0T/9P96W1dkVROK11//xpmjrnnLvyyitd2tMuS41b/sc/uWOOeoV7zQmvdYceeJDb6yUvdbsu3ckdc9ihbs9ddnF3/eQ29+H3v8+98XVvdFOd0mnnnD+bdscfd6Tbf//d3UMP3esOP/xgNzG50WXaukwblxnnXNF2eTrjLrrgY+6gg/d3u+72InfwIYe4F7/kJe7ar13nJiY2usMO2c/d+9s73Y3fuNZ95FOfdjPGucw5V1Tn6Xbbriiy6sk6VxrjtHMur35ndsNj7pjXvcV1nXOzzjlnUudM6rJNq917Tz3Vpc65dpY5k292j9/5LbfnoSe4n97xI3fckdu4I496pZvplG5zxznnVjnnVrm3vuWf3dkXf92tz5zL81XO2bZzpnSuLNz5HznXrVyxwr321Se4yy+5zJV54cpcuyIrnbPOOeucLp3L07Zz1jhbFq5IC3frLT92l33qcmdK504/bVn1u8Y5a1yZd51zXffsc4+5Kz57rXNus2unK123k/WP+dzqh9y5537UudI5Y3OXpx3XmZ7o//zTn/kXd9AhR7uddtnTveyoV7q169Y765xzLnO6mHRlvtn94he/cPvtf4DbYced3GEvO9qt3bDJdXLtSutcaapBYwvXnZlwf/rD79zue+7pjnvVK92hhx/uSmuccc5pa9wee+3p9tpnb3fAQQe5X/zql84459rdbvV2rHNuxv35qfvdF//1a865zf6r9HNnauZ599vfPOJevOvebo899nQHHnCw27Bho2vPdt3551/kttt2B7fXXvu4008/w01snvKPyDpnquvL0q5zrnBW586a0s1OT/lTGuPSTtv5E5XOudTl2YT72nVfclde80033dZ+zFrn8upd9TpdZ611aZr6cVZoVzjnnE2ds6mzZe6cdS5NS/fhD5/vstw5Uz1vZ4xzVjtnU2ds0Z8TmS5dO+25bp653GiXli/8rHTmL+aOcc4ZN9uecVprN7F5wh1wwIFu4wb/TrO0cEb7YafL/z6zTfXlj1rqrtOm67TpuNK0nXM99/Cj97mPn39R/3wzne5ffS44Z1yedp2z2um853TWdblxrt3zz+Kle+zlfv/Ag/6NWue6ndSZ0vRPbXLjeu3OC2O+KF2epu6ss85yDz7o/67T6zrrnMvKon/FAwwwwAADDDDA3w7/sJW1JEmYnZll8+ZNZKWFoqTX8/byYQjUatDtojXoqkpljMFWNhSNep1aFBMFXvIDEIQKFQWMjo/RarX+yj4/SRIeeeQRwtAHGoOvvvjd9EpiZw2bNm0CYMOm1SxfvpzzPnEev/nNHdx26+289CUv5dxzP4IKAkxhULHqSx3n8N974+auG2DTpk0YY4hjyfKHHuacD32Ir9/wde68805uuOEGttlmG6699jruvf8+DjvqaNI0ZeXKlSSJP451MD09xe9//3sAhodH2OVFL+KKK64gUN4dUElASu6++26+993vsmzZMh555BFuv/12Tj31VC668CKcc7Rn2+R5wcuOOoqT334yAFmp6aU9jLPe0KHalfcS0hd26LXx1bvnnnuOdZtmmPN3MN0ucbPJuvXrSHN8z08QcPPNNwOw7TaLmZ2d5cEH/8DU1JTPNitLcI6VK1cyNjZGLYYoSui1fbXP5DlhGLLN0qVst932LFy40Fc2QkUYBczMdOj1in4sQWd2lm63SxiH7LXXXvzz6/4Z8P0/ALooyNOUIAzpdDvUkwRXjZ9mrUm9HlMW8P3v385VV32Fu+++G2vpZ7o1hoYwWpNnGXmW8eUrv8xv77mHf/vyl1mwcCHWOpzzcrwgirn66qv5wAc+wK9+dSdlUXDXr+8iChVaG6SkL5GrNxr8169/zdve9lauu+46jj/+OC679FIAPn/FFbzt5JP5ye0/4dT3nMqvfnUnRVkQ13yf0lzf08joKHNDPi16TE9DXhQMDQ3xyU9+kksuvYTvfve7NFtNfnTLrXz/+9/n5z/7GTd/97vceON/8stf/IJbbrmFLC+qyo8/VhxHFJl3MC2KgtbQMO2ZGR9JUcULbFy/3scKxDHHHXccJ574SppNRV7A9HQHa/x9JnXvGlqr1ShKbyhSzOWH5zm6eh5x7Hst7VxeO6CNZXrzZlyeg7V0uh0/75WvjCulfMbYX8xHY/wBykpWOjU9TavZQilFLUnIMh9F0OmmxHHo2zgV/1vkeU6gQm9iI31VXZuSefPm9edMp5PSbNSZqZ6Tv8GqTy3PkVKhooher0eS1Ng8McVPfvpTFi9eTJZ5M6B6o4ZzjrySz0opSRoNJjZtIu31MNYQxTXOPPNMbrvtNuCFHuG5nACHY4ABBhhggAEG+NvhHzbx1JqMej1AxRHPPv4nvva5i0l2PIJnnnmO/fbdj3Pe9So+ctZZHPSuj/GKPbemPT3DV//jev75Da/nmmuuod3rsX7DJhqNBheefz6LFyzy0jojsZVRSJqmfSdK5xzz589HCMHKlSu55JJLKIqCVatWceCBB/Kud72LG264gWeeeZrT338up77/jTg0Dz/yBNtuuwVb7Wi45porWf7QciYmNvLONy9jiy22oD5aZ82aNey7774sW7aM5cuXc9VVV/Xlhrvtthsf/OAH+cEPfsAdd9zBhk1tTj/9dB7840O86fJLCcPAG4vU68xMT7Fw/rjPvLKaoUbCllss5gtfuIozz3g/SsHdd9/Nm9/yJpYvX04UBXzq4ot51atexXtPW8fCRYv8w5WS++79HVdeeSUHH3ZEZdGueP8HTmNouOWNRsZGGB4e4rFHH+GpyYLXvfZEHnr4Yb52zVcZbtZZs3IlZ599NlOTk1x3/Q1sv8NOTM+0me1lnPLuU9j46B10spILL/kMZ575QfZYmKDqCdiSQw85hLvu+jWvPPoQOhvX8dD9v+WTl/2MsuyQJCFve9vJXHjhhXz+i1eSNCQ3XPVlttlma+baa7KsS9IYBq359je/yQ7bboctCqIg4Ftf/wYPP/wnNm6aotlscNGnLuZzn/s8mzZt4qorP0dzaIgLPvEJtl+6C1tvvS0bN25i6dLtveNimrNmzfN858YbWfX8szTGE9I05SU7v4JCp970QluEkCxeNJ+jjjqC9nSAtVBkPW/zb1IcESqQrF27kQf/8BD/9evfsMeee7B0+y37/YBBaPj9vXfyxIo/89VXv5pms8nVX72G733vewjhJbvWusqYAxCCp578M5+78lq01hx77Cs4/YOnc8qpp+Ks47hXHMfQ0BDHHnssn37w0313wDRLCZUDSrrdaX74gx+zcu1dFGXJmqfGOOuctyHCGTrtjEMPOYyR0Rpf+Ncv8OPbbmP1qtXss8++vPQlLwbgpJNO4oe33MLbTn4bujSV3NCilDfrwFkuPP988rwgSRps3LiB4ZEhgsBLgHfeZSlnnLmMRx55mKm0xR/u+z2zs7Occ8ZpPLfyWb5+w/VcfvlneOyJJ/jKv1/N6IJFFNrwsY99hKVLxvjVXXfxgx/8GBW3CMOIDZumCEIqIxIAx1VXXcXmDasJmkM88uQz7LD99sS1GpOTk3Q6Hd73vvfx4t1248orr+T+B+5n0aJFCARnnXkWu+ywPb/8xS+4+ebvsuOOOzE9PUM9SVBBQJp2uejCT5FlBVNTUxx//PG86U0nVe8GXlCcG7Is5fNXXM6TT60gjiPGxkc55+yzSdM2D/zhQT5+3vl+w0ApPnPZp5iZmeHyyy8nVILJyQniMOTiiy/mrDPPZJsXvZRHHnmEK7/8Zc4880w++YlP8JNbf8zadetY9fzzKCT7/NM/ccp7TmH58oe49LJP8ZKXvISNGzeSZhnnnHMOO+68E2VZeuJXhWrPySiLsiQJ5xIFBxhggAEGGGCA/9v4hyBrc86Icy50WZYxlVpkY4x5bpp77vsDr3//xzn4oEN57LEnOfPMsznn9LfzmlPO4f4H7iY8+DR+duftJK35PLD8cZ5bu5mvXHM1YDnksENY+fxzLFm0mM7kBMNDo4giZd2Tj7H/AXszPDxMmvaYc8Hr9qZ5z3tP4Q2vfwMf/ch5dDslR77sZTy/coLzznkvj9zzWz5z9WcJimlu+9znePnn7uT6u37HLs//J61/vpzzzvsAwf9g773jrKjuuP/39Fu378LSsWNX0GjUqI9iw4qgIKISa1TU2LEHW6JRsZtoxALYYgdBUCOgYkMFRAUBaQvby717y7Rzfn/M3WVBiZpfnkjyzNvX5d47d8qZM2fW85nzPZ9v0yKWtDVy2pW/Z9gh+7L4q68499zzqKgsYd269Zx88nCOOOIompvaOOqoIVSU9+SMM0ayaMFSLr/pKhRgJ72GJkvHAfpqrZiiCcOtZ7lZSk+9lWRmDZnk1hxx7P785d5bOP/0oSSLivj0w4+48frbOPa44xDE0CPF6NESZr0zm1NGjQj6lX4WVJ9efXoi0EDXMAwF4cFpp52ByOZISpWYL0m1tLC6zWVVKsPJvx3Da88/zw7b9Kdl7SoefeQvHDH4MFYs/oaJjzyGpkd56JHH+cs9D/HkEzfw2AtzePCWG7BiUVwfUEHT2hm4Z39u/sO5nHDYIt5ZVI/b+wSO2bcfy1Z8h5D9ueCskVx26WW0rl+KLKtkwmNvc9Gll5Fur8USoEb6BO6KOnz42WecOvo0bNumqLgYqSr86Y47kUJyzbhreO2lV6ivqQlGOBUPoeRJ262kMg1kckU0t9UiFfClRNUtrr7mVhLxOH/960R0E8aMGYOit2LqvYK2qglc12bf/fbCcXbjvdlf44gs0WgSBUk200asKIlr23y5eCEjTj2VbDbLZVdeweuvPEc8EScR1UGN09rcTiReio+BUBW69e2Fb4IL6IrAES5xVYGsDaaFmrLJZ7PE43H69emDk8tj6QZXXn45qqqSTqc5/phjOeOMM7AKedLihWTZ2Swkon3Zc69tufH6G4lGo6xcuZI777yT0aNHI9QGdNPF8zW22b4n6efq6NOvkieffJpvl48hES/ijelvkIjH8T0ZzBMr2OArqOi+BX4Tq9c2ce1fJrKjuYrb732R6t+M5Iw928HzuPzOF8FvwcrU0tIC190wlnPPOYcRx11IdQ+DxyfeQVm3GFOumsRTjz6DTNYx+x9fcvHF1zJpwg38Ydx1XDfxEQ7abhccx+V3J59BrmOUK+sQVQ3cdXk+XFnLtJfvpXHdd4wefTrPPPMsffr0ZeyFF/PNggWs/24Ny79azqvPvYqmKlxxxTWcPvJMZn3wLk8++3f++vCDVFeWMO3Vl1n48WxUp4UnHn6QPXcfwPEnj0ZVYOylV3PMcQeTiCc6DYRcL8hFt2r1KqZOnc6UyZPp2asX99xzN/X1KRKJBP222oZx115PPGZw443j8QXM/+wLBg3cg5EjR9BQu54xp42mva2FdFszsz9ayJSnHqOiNMHyrxfhZFppa6mntKKcG266nm+WfMvZo0dw1tmn8saLj3PVddcycOBAbDvP+PHjaWlPoRkGOTtPS1sbkVisYFDjoaoqVijUQkJCQkJCflG2eLGWz+c7zTtM0+x0X6vq1o18LkdtXR3nnHMOC774kgkTHuD116fSp08/HAe23W47nn/hWey8y5zZczh48GD2O+hAdtxpR556+iluuWU8W229FZquIZEUl5WBJ9F0jcrKSqY89zR19XXE43Ec1+aySy8lW0hCfd5555FKpdD1ODfeeCMTH3+KXM6lqrIKBVBdm24DB/LqK0Opqwdrzg4ccPOrzJgxg9Wv3k5ZWRl77rEneTvPTjvuTFW3KlpaWlizejXjrr4GCBIH77zzzl2sxFWamqCiHFpbA/MEEyDTjlNwtQuCliSIIEG1aRqUl5czefIkzht7EdlsFtM0KS0txXM9YrEoEcsKQr8kZPMCM2LQ2NBIv/5bIQr7y9s+uqLS2JiiLB6htbWVbDZLynEL7nM2ZWVl/OHmP9CrqoLvFi9k+623JZVKdeaLKiq12GnHHZkzZw55x2PNmjUoitpl5AOE6zBgxx2xbZu1a9ew7NtvOfbYY9Cj0SCxsq7Tr19/dtk1GFFoak3Tq3cvipJFeH4Qxhm4fgaOf8uXL8c0TUzLoqGhgWEnnhiYXFgmv/vd75g5cxb9+vVjwYIFSCTpdKrgzCkKhh05VBV0Qyeft1myZAk3XH89QgS550499VQWLFiA7weJiAML90AhdIS0drgH4nvEipJB4m3L4sUXXySSKCIRV5n34WGsWrWKQYMGYedbsSIqpaWlGLpRcAqM0N7eTjpdsF33HUzNRHgOqmnhtrYAkng8CCtsaGigvb0dpZBgedGiRQwfPpwddtiBE044AYBDDz2UdevWUVFRwaxZs2hqaqJ79+5Eo1FaW1vp06cPpaWlfPPNN0HuPF3HMAy+XfYNyaIkI0aM4K233mHo0KGUl1UBkG5PI4SPWogF7IgoFFKiaQqJZIJkErADo4++/aqBb0EPEqtTcEK1zAgRI8Itt9zCyCGXsvPOO1NWXQ1unnR7misuv5609hU1NXmamyTr1q0jGo3Su3cvzGgM32+nZ8+etLtZokaUopiJkg8cTaurq0nEIrQVjHw6QmMz2SyRSIRsNsvQoUML9xxceOGFfPTxxzQ3N9Ovb1+qKivJppvZY7fdkVISjUSpra3lzXfmMvPdeWiaxmeLvglCtdMpopFoYBpi2yTiCXbZeRfWr1/H2eeczU477cxll11Kn959WFtTQ1l5OfFYMKplWRa5fI59992Htau/45KxY1m4cAHSc9FMk/Xr1nHwycdSVpqgrr6Zvn37IiWomsqQIUOwHY/q6moMQ6dm3TqE77PHHrvj+R6maRFPJDrNWhLJZGdYLAT7ADa6liEhISEhISH/ebZ4sdZhkW8YBjfccAPpdJo777yTXDaP70uqu1fzwAMP0Nbazp577M1ll13Kgw8+jGlCSUkCy7L4dP58ZsyYwdXXjOPxR//Ke+/NZdjIk5n6+muMOWMMlhlBCgmahnDygEokWUxZeTllZeVIKcjmMtTXN6DrwVylNWtWs8MOO2MaGvPmfYDrOlgRndr6erI5Sc0XC3nl0QmM+ds0eldBr8OOZNpe5zFq1Cha29LUr6/FsfMYxUla21rxXI94LE5xcQkNDY2Ul1eiGxrZbKYwsgeOnae0BBwbrFgCAE8AZgRFgqYbaAooQoIVBXykAuPH38zlV15JNpujR8+eqJpGe3s7uq6TzeY6RyulFEQtFekL+vbrxx//eDu/v/xaZMFOvmb1GoYNG85jD91PcUkpiqYRi8Ww2tvRhMDP5xl10gh6VFZQNuZ01qxcFeSX0lSi8Rjt7TnyvoOvCEzDpEePHgjh4/kSQ1Nw3KBBVlR2Z9Cgvbn99j+iGiXcctuZILJEI1Gy2Ry263LxJb/nxpv+wPKVq7ngggswTJ18PockSO4cMxQQPr169cJx7GC+lOtSV5hv6Lse3333HZ7ndbpVgk7ETPDJx5+xzcgBSKlgmRF8T+A6NqoqqK6uZOWq5Uh8LNNk/fr1ne6AHYKtQ6xB8LChI5m6oulk21PEkqU01tex+KslHHjwb8jnPXr26MHixV8xcM+B6EaQn0vXowjXQXoCz/FZs2oVVRWVOI5NzLSwHZuEqSNzNnoiQaK0lFQqRTKZpKmpiT59+hCLxZg7dy7PPvssjz/+OHvssUdniO2ECROIx+O4rttZRt/3aW9vp6SkhHQ6TSaTYf/99+e+++4jnU5jWRbZbA7XcRFCcO6557LbbruDVJk0aQpr164N6tcHz/UwLT2wztcUQMX3PCwAIfE9j96VQD5IQ6GqChgWtuuRtwMr/WnTplNUFKeltYXW+jRVJNcAACAASURBVEaKy4pJJhOcMmoEbnQ1Lc0Sx43RrUcP6hsb8QuxsKquk85liRsRPM/FQ0eXCoqhYSkGtuMhJSQSyUDgKCq9e/WmtbWVeLyYuvo6DEMhl3VZW7OWbKYdU9dxHJtcLkciHmf92rU4jksmm8OKRDn88CP41W8OQddVBq9vwnU9ipLFhTmbkIgnsZ082UyWSZMmU1VVxWefzWfMmN9y1lln8atf7Y2mBo6SkYhBPBZDAZ5++mmWf7uEs84+BwXJ2AvOR/o+xSWlDDnqSBzHJxGPkcm0I0Rg0d/S0kqvnj3xfB/PF0HuNUWhpaUlcOZUgusjfB/XdWhPp4nH4ni+V8gHpwapSDwP3QzFWkhISEhIyC/Ff4XBSCQSQYjgifjnn3/OvHnzuO3WP1Kzdj29evXBth3Kyss48KADee21V2lvT1Ff34ymQf/+/TjnnHMYN24cEUNl6eKFtDXWs/MO23PDNddiGQazZ89GUTUcxwPNACOCjYbreHiej6IGVthSQlVVJUcdeSSjTzuNzz/7nLPPvoCZM99k3DVX09rWRiyZ5J235lBe1YeFX3/LsUefwaIF62lZvZ7fX3AuFj5S1dEUGDViBF99/TUXXHAhy5Yt54gjj2T77Xdg6NATmD17Ng8+8BALFy3kjDNOJ5XKkrdzzJg+G9MEYUSx8xBTATOKHkuCZuFkCJxEjAiZ9lbiiTh77bc/W221DU89PYnf/OZAmpqaSCSC8CwFSTrVxu677RrkahOgaAZDjjmOKZOf5eSTR7BixQqmTZ3GiBEjqa6uZuedd8WVkvZsDtWw6FVeQb+qCvbfa28+/uB9tt26P89MeYZFixaRy9voURPNMogWRZGaRGgS35W0t6d58cW/YzteMHqlg1GwGb/g/IuZO/c9EolYMFqo6rSl0iSSSUzdoFu3KjRdp7S0lKOPOZpsNksum0WREI+aBfEp2W2P3ampqUHVNVRN4/WpU3n77bd47733uOjii9h6u20YOGgQ9Q0NfLV4Gb///ZU4tqS5qQ1dM3FdDxSJFTGIJ6KcfsYpPPPsUyxY+BkvvPACf/3rXztNGUzT7MzHB8HImm3bBSMJlYb6Wo4acjgfzpsLis8tN/+Bee9/wvJly5kyaRInDR9Bc3OK0aN+SyZts+ee+1AcizPxr4+ydPE3XPn7Sxmw7XZEzUDMKWowcpV3bJSISff+fbnwwgtZsmQJzz//PEOHDqWxsZH777+fQYMGkc/n+fjjj1m5ciW6rrPHHnvQu3dvBgwYgOM4lJaW8vzzz7Nq1SpWrlzJ+PHjSSQSbLPNNvTr148nn3ySuXPncuaZZ7PVVtuwfn0tE+65l7ffeptFXy7i3X+8y/nnn49Esvfev2LylCnYto+mSjTDAE+Qy2WD0TY9SIHg5AA9BqqFoaqgmmRyHsmEygMPPMLTT07hsccf4lf7DOLoY45H0S0qqip54cUp9O+7HQu+WMD0N16nqLSUwUceyaS/PcHqlau44447qGtpQnoucd3E0FVUDZqzbbQ01GMZBvF4grVr1xKPxTFNixUrVhCPJzjooAOZOPFxrrjiahYuWsTZZ5/FicOGUl1VjmkYTJ02lfb2DH+6805U3UDRNM457zw+/PgjevfqhZQKk556Ek3VePSxx3jooYdQFZXWtlYsM8I3S5ZwxeVXsHjxV+y6y240NzWDDK6l9D1iUaMzj1o0GmXFdyuoqKjAMk1uv/2PfLdqFfWNTUhFBSGImBqaquDYNpZp0N7eHuRjy+cxTYNc3qa8qjuV3bpz2OGHs2hRYBg0derrQaoCw0TXDXRDL7RbfUMbDkfVQkJCQkJCflG2+JG1TCZDPB5HVVWGDx/OggULuOiiiygqMXjssccoLSll33335XfnXcCkp59lm623paioiNtuu41bb72VXXbZmeLiYgYOGkQsHuf666/nhBNOYPToUzn2hKHM//RTXn75ZU4dMZJuFZVBrmJkZ9glBKFAtbW1VFVVkUqlGDduHEIIxl50EfFYMZdffjl77rkbfq6VhoYGbr75Zl5/4TH+/Oc/c8jVEzn//PPpVfsW+i7DmDx5MmXFQchScXExp512OrFojGeffZYePXpw4olDefLJp7j2mmtxXJfXX3+doqIo2azL9ttvz6233kpRURGmaZKMgA+Qy5Fpb6e6RzW+5we52JwclmmhFXJenXbaaJYuXUq//v0pq6ikob6BWCzGypUryWaz9OzZg4hl4PkgPY8e3au5//77GHf9zZxyyimoqs7+v96P22+7DV3TsMxgZGzFsiUsW16DosAD907guOOOZchRQyiJR5j45JN8/ul8hBBkc1kSRjHZbJbS0hJKKsrZddddmThxIuXdt+HoI38NQP369VRVV9G7d2+23XZbysrKiMfBz9tUVFaSy+XIZDNE4nH69u3LfgcciK5pJBJJipJJOiIqY/E4GpJDDjmE9+a+R7q1jbKyMvr27cudd95JJpNj2PDhHHrooQjP5+mnn2bkyJEccMABbLvttgVXvTyxWAxVVTvDTkeOHElDQwNnnnkm8XicffbZp9OtM5vNEovFADo7u9XV1di2TSwWo7W1jVwuR1FRMRWVVQwZMoRLL70UXdcZPvwkACoqirEdm3gyiZPPM2XKFI4+9mhefvUVKnp0Y79f7weA7TpYhoUUHtGiJACHHXYYf3l6Cqeccgpbb701f/7zn1m7di01NTXcc889GIZBSUkJv/71rxk3bhzRaJRoNEo2m6W4uJhUKkWPHj0YM2YM+XweTdOYPn06tm3zwAMPMGTIEN566y223XYbjh5yNIlEgmOOOZqHH36YWCzB6FNPZ/vtty8k/lYKI9EaUooggbmU9Ordi4J5JtFYlLwNRFRobydv58Fxqays5KsvW3nqySc4++yz6d2vhKOOPoxHH53AYw8/zLm/+x1Djz+Faf94hq233oVnnn0V03C5454JHHjCkbz70hv06tWL0tJSIrqFh4+f94kZJttssw35+ghCSNraUgwYMID6hnqqKrvRt29fdF2nT+/ejL1wLI8++ihz577HSScN59prr8QFhp5wHBdeeCHXXXkZRx42mHg8jm3b9N1mG3bYfgdGjByJnc9zzQ3jMQyD1atWUVlZSS6fp6S4hNq6On619684ecQIxo8fj6IoDNprEMOGD2fld9+h6XqQDDznoqoabW1tXHbpZZw0bCgvvfA8xx1/PGVlJbzzzju4joOqqeTyPvh+4BTp+ZSVlaJpGsVFCRqamolFo6xcvpwzzjqLL5av4+STT6a4uIg99tiT0pJS8nYQWqoqKqKQA1Ip5FrT9VCshYSEhISE/JIosqtP9RZIh7lIxyT9jlAz180SiUZxbIdIJIrjuBiGhaKouI6LFTHxXB9FVdBUFc8XIPLopon0fRwhUHQDTdHI5AJh4zkeSiGhcWCtH5iaqGpgQy6kCEwTCk+epVRxHZ9IpCDqfIHIZ/DjSXSvHc3PUatWogDdZB1NZjd0BZTG1ew/5CTefvttyuMGuWwwL0/KYG6PrhmFCf5BR0lVNBQF8nkbJWohBSye8yr3vTqf+yeMp1jkkJ5HPp8nn6wk5mewvAwZrRJD8dHxg0S3KHhCoChBWoBcLsdJI05hzJgxHH7E4Wiajm5o6Nh4jotuWNiuxBcCiULEDBKIS8fB0ALLd00FW4+h6yrSl6j4uI6DoQdugyjgCQWhKAgU1I75XPk2pJ5AVTUcCRpB/UY0D+HaKIpE0eM4voIrIKq6oCjkc3k0XQ8EUDywUHccB920ECJI9Ox5ProKqvTxfZ/bbrud66+7DhQNrZDo3LUdrEiEXC6PZVmomoLjeBiF0QXX81CUIGG553kYpo7wPTzfQ1UUhBQYejSwYS+EFUajURzHQVVVhBAYhoHjOFiWhRACIW0UxUNRDIQQKJjkbR/TNILOsS9R1WDfmhpYreMpuJ4bOE3qCjk7x+RnpiCBWCxGJt1GUTxOLBrl+GOPRSoGth3YyXeENgohUBQFx3GCutc0NE0L5l/G40F9uIH5hWVZneXuOHfLsrBtG7NgFW9ZHXPygnl8kUgE1w3Egq7ruI7HRRdfwgUXXMCOAwYghQ9IND9NVovj6ibFuTqyVhFpGaXKrgmSzyd7o2br0A0DVytDKSR7dnMulqUihEswI1FFouErLopq4HqSmC4QUuJIianqQX16YEsfIQWJSBTHdtFVDUcKTEMhn88Qi8YL97WC54nOBPVIhUwmg2lF0FQVTVPJekGCcM91sHQVz3UwTBNRyD3h+gpSUVE1DVVXkW6eTz75hJaWVgYPPhRFVdFUNXDx1FQ81yvUmUYun8fQDXx0hPAxDSNwZ7TMzmto6CqyI7WD66JpKjk9ioEA38dUfIKZmgo2epD43XYpKsyBe/25p2nMw37774djO9x111088MD9TJ06jVQqxZlnnonjOpiGGVj+23kikeh/R/hFSEhISEjI/yhbvFj7cSSdSYE6XCo637usAgQ+eoXfFAVZ6IbILusXHL6D9412I7q8d/ygddn3hrJ4iooqXVTpklODkRYz14wbLSOd9Ym4zdz3yEQuv/xyrI0eXG+m/F3wOo6cb+HBZ97k4IMPYkCPElQj6JDlFA1dOhjSxVPjqEjUjQqpdO7/22+/5dtly9ln330oLSnBcTxMU0fB67Ke+r3aDRYU6kMKULsO0Eo2viYgCISiROmsRVN4yMJ2blCTwXlJv+BKIUEx8AGhEHRI/0k9fb8RB0e1c3m+XLyYstIyevfp22lJ/pPpaBCF/HwbjiQp2Lv8ZCQe4KF0dn912Eyqw460dIrfpRzqxkfv+KQUvgWb/Ce61v/8WnyPzkLbeIqGr+hYIourGLiKQUxkAPDVOJoMcooJJZiHCaAoolAhHcfwQRFIjI1aGYAauMsU1lLQujTejisYLJN0HqCz/P/kHDqPIAtrdqmDzoulbnR91I3q6achN7l+yia/bvwODioahftHOoWlKr6iBw9/lA2tNN9az10PP8bfX3yRoqIibrn5FgYMGMDtf7ydG264gWQi+YNlCsVaSEhISEjIL0co1vjPiLVovoV8pBTHgyLNYdmq9fTv1xftZ3Z8HQJ9ZJFhWZ1Dz+pSotLHcx10w/xZYs3zPGzHJRKJoKoKni9QFRVN/R8Qa1IghYeq6aRTKZJFRSBVcoVcUj+ZUKz9AKFY+68QawTTV80Op9V8Ct8I2r6m6Z1RC+vWr6NHdY/NlikUayEhISEhIb8c/71ibSMF0fGla+dI3bBC5xmKLr2fjTtnP1QJykbH6CrWOtA27KPLukFfMJAovlIIGfNdhBaM6ijCQ1H1zrxxPweBIO/kiRkGnhJsq1MI/dM1PIJOoopAoKIU/vshZCHMDMApWKYLITZyM/xpyM183rCkq5wAUIXSqVM2EmuCDbtQ6SLWfi6CvJ0nYkW6nKfaGSK42eJvSmeRf0is/bxSSQQS2Xk9FJQNHf2u63VpsuqmeuJ7+9xMcbdIRKdoV6UfiHhFDQQ6IBWtiwgSIAoPAdQMSIMN4tgBxQURB0WAInAL028NF4TRuRaRzqHooJ15CkR9OsXvzy3/99lE5P3I9fp349IRFAqIglgrCGIAR0KkQ0tKB1cEIbBSSnK5XGeqiQ7h9kOEYi0kJCQkJOSXY4s3GPlRflC0fe+HwpJNRtB+cEddUTbzues2PyT4ZOfxOjqfQtFwC/N+fF+iCO+fi4TNlE1ID8vQcYVE0yCXsxGGia4HY3RqoawCFQpLNnfeQgh83w/ykJkGwhdo2k/rmm3cJ/3xE1E23WojkeKzoWTqJgcIBFLXEYfN94G7XAEpMc2g1y6E3zmn8XtC7Sfz/7/n3TEG1imeNxqAlD/Y59+4nrdsKbYx35eRsnNGlexsk4oUG7XPzuX4IDv+PHl0ynlJ4SmK3/FUBBSxQUaJTR7ddG1yyMCQp/O2/Sn1ubkHET8+Evev8eNq74fvto1HszvFfhfhr0hQVKUw59chFovh+R6e5xUGI0NZFhISEhISsqXxP/h/5407LRv9onR0sL7f0dqwVHa+2MwaP0iXnxRkEGapqJ1hiD4KlmkgPQfdMLALueN+LppS6ICpOioQj1qFkM6O0KugBMGoWtdhqu+jqmqn4yVSoqg/v/MpO//dNPxxQ31tWq/fr9tNR602PcLPDydTFAVVUfE8F03TiUajnaOIm9/oB16bXeFfuXU6Qm83cwBlQ2heZ212DL79SLP7vyUd/p1sEGISqah0BNlKRe38vuFM/C5bBgYlXfe0oU10iPkN2q0DseHn7231r57B9x8CbXoN+Y9ejB871Ea/CRG4xaoq0WgM13XRtcDQRNP++5/bhYSEhISE/C/yPybWNhUNG3f+RZeX3Gh1WXh1/OqzUWfxZwSKdnS1RedTfD94qUEHVJU+vgDLNEH4/2xXP3g+SmHPOc9HejbgoWpdz9ZDIApjVcGZbm5sILCcl0jh4/sdT9d/4GQ3qcquJRJdlsgunebv1f5G9Sw3uQA/LtY2DUDcfLDlhpeQsuBqZwP8C+GdXekq0jpe/xo/XP4NrVN2tj8fUWhLorN+5cY72Xxz/wXZuFAbXeUgmVjhiguC9rpBWHV+3kSsyY42oHRs12VkrWv72KxY67gnf2pF/Vjlbnjs8IN7/JevxeaPudl7oOOe+oGDd10fVSs4fdr4vo+UEtdzOz+HhISEhISEbHn8jz1O7dqB/v7z5n/eve76pPyfdVwUNvtUvXNJME8sOF4gEBQJ0pcohgWykCT4J7PhOL4I9hwzDBQpAvtvI+irdYQyqZ3r69Dl26Zomobv+Wi6hqaqGzp8P2FUYOOgxU1rdtMd/EB9ddlEQ+usrU1XDc5W+4kDFRvWEiI4F8Owgk6p62MY6kbz9P7TdEg9ZdOFnR+UjdbbZIX/Mn74/gvGWbXC5++3ng1bmV2+xNh4fqDRZYcqoG/4Q6Zv2MyCDZMhAR2FyIaC/Avn8Z94tvXzWvqGOgUUvfPXH7wjlSDnXSQSCe6rQoykGTU60zuEhISEhISEbFn89xqMhISEhISEhISEhISE/A/zPxYGGRISEhISEhISEhIS8r9BKNZCQkJCQkJCQkJCQkK2QEKxFhISEhISEhISEhISsgUSirWQkJCQkJCQkJCQkJAtkFCshYSEhISEhISEhISEbIGEYi0kJCQkJCQkJCQkJGQLJBRrISEhISEhISEhISEhWyChWAsJCQkJCQkJCQkJCdkCCcVaSEhISEhISEhISEjIFkgo1kJCQkJCQkJCQkJCQrZAQrEWEhISEhISEhISEhKyBbJlizUJTt4GCQhZeBG8ZPCey7aC9INlePi+Dfjk2l0QIIWPnRUgwPUBKcmkUiBt8nY74GEDeQk2IAVI14F8O82uIAP4AqA+eLkgaQXayDtgO+2AAwJ8Kcn4eVzAJYtHE74NTg4c0YIAcraN9MDxm4A00vaBDIg05MDz2hE0gwu+n8cjhWsX6gIH8HE9G9vJ4XlOoTJASonjOAC4rreh/lwXgYcXVAH5fKHuJHh+jmy2EciRbmtCeh75dhs8cLN2Z1VnPTeom0wGcjk8R5DPZgBBq2PjIbGFj+8KpISmZhd8ge/5SADZjufl8ABPgOMCvg8IXM/GwUcAtusg8w54EtzC9bUdvMK52HYaQRpXgCsIzl9mg5cN0IonG0m54BSaC1BoE3kgDaSQMo0vggO4Ntj5oAlJmpAdbYsUUthBBfiAcIFc8OaD72eC3zyBLQVkPch6tAcXCtod2oFUJgt+cDqulwds2oA6H8jV4QAtOY+cD3gt0LqGdsBuaQBhQ7YN3/NozzngZ8nZWVoAvCyIPE0ekG8H30EKSW0uRxaC+sgK8CCFJAukCb5j++AIskAb7s+4IUNCQkJCQkJCQv6TbNliDTB0HQDhi0InGuxsFonAFz7RaBJf+AjpEpyOhucKonEFIR0cR6CbAl9IfM/HdzziiSSe46JrOr7voxCInbzjgSIQ0gNVwTJUlEI5hOsgfQ8pwfN9HM9BUbqUz3URnsDSLHLZVlzbw/E0ADQNdNVFugJLMxG4IHQketDfdzxQdIQB0lNQpIKvgi99VEDqgV7AF+TzeZRCfSiKgpSSdDqN7/uYponreKiqimO7hWMHl1giyWZtdB08TxRePrFYnFwuS7K4GFQFwzTwHB/VMMm2B8JT0zQ0fGQkirQsFOmjaAa+r2BqGtJ3MFRQdJVsJk9ZsYHv+SA9cLP4ioknVRQJtivxAen5OK6DoRsI38d2bBRFAVXFL4hNKSS6ouJ7Pm4+j2ZoCASuG2g9TdfwbBuEAAVc4aIpGqYBruMjfPA8D0VRcVwfz5eAjutJkCAloEhUFVBACBXhE4hcz8HzXXw/aHaeEPjCReloEIraqQallKAooOvYvgOuC6aJj08kGkP6Pjk7B6pOLuugOzZxL4ejx3FyNnFDIj0boUYQ0WJU10FLFuNLFTQTxfeIRUzc9hyoWufxpeMhhQ+6AcLH91yKolEyuXwg3FXAEWgo+FLguAVhpqqgquT9PAbGv+lODQkJCQkJCQkJ+Xej3XTTTTf90oX4ZyiKgvB9VE0LOsS+j1QUPvviMxLJBK5roKguhqGwfPlaVn63Ctt2yOSacVyb4qJSPOFgGBrzP/uG1uZ6mpuakZ6NKyXxeJx222d1TQ2xaAxVeCz75iu8fJYvV9dSV99IqjGNKpsRnkdzo4cR84maEWrrfN5661Xmz59Pzaoauld3J5OD4qI8DfUppF9ELGLQ0gLRRBNrViT4dmkdvfpZ6GoERdFZsWItFZUlpJpb8PUkqpKnaX0Na5pUKiuiaAh81QIFVHxMw0RVVQzDIJvNMXPWTBYv/oq1a9fSp08fVFVD1zWkVMhkskyf8QaffPoxwlfp06cnCqBpCoqikG5vYfXq7+jevRrQ8F0fVTFoT2doaW5k1eoV1Gcc0q3NfLvoC2obctQ3tBLFYV1jK7V19TQ01rJ21XJMXSOeLMbQdMhmWbK6ns8/mUfNyq9R4mWUJIvQVZWPP18GmBRbYEQsln67lLkfvM9nn35GLBajqqIKVdPIt6VYU1ODUCCRTKDrOo6X44tFn1FV0R/PB03xUDwbRQhWLaujvFucdCbNF1/W0q2yHFNT0HSVltZW1qxeTTJZhGFYLFz0Jb6vsHLlKurrG8lm8pRXFCOkR82adv7+wmss+vp9pG/Qq1dvXBccr52PPnmP1kaD775bT85pRto+pm6QxydXU0fNypVoZUUkjSi4LrapkGltYeU3SymtrsR3BdFYHEuFlro6mlIO3SqKaapvYNXKFTSlHNY1tJJtqiOVc0HRyKxbj+tJYskEmq6zpraJdz78jJWffsj6mhoq+m5FwsuDYVC7vharuIR0NkuZFQMUGurqaFMcLNPC1A1MTyA9D0XTaHWzWIaF+cve4iEhISEhISEhIZtBkVLKX7oQm6VQMun7wagLCpl0mq+XLOHssWex1157cc+fHsOIpmlKreGEIReTz+eIx2M0pD4mkUhw7aWTOf7E3alvrmfIoeeSiEiy2SxFcY0Be+zKgw88iIPGPfffz4ABA0jVreGhe+9COjlk1XakUylodzhnzMFstdVW1K+NcObYE8jZOY499nLa2hbTraqKtvo0ewzahwn3300qt5T77pnIay+/y6wZ8ygpBmks57mJq5g6bSqTXhgPRPBtm4H/51huvfQCDhs8mLbiJGa2neH778PgK2/nrBMPowSXZi2BqUJCeqAo5HI5mpqaOHTwYZSVllFUVEwqlUIIweuvTyURT1JbW8vo004jEjVYueY7Ksp6csBvDuCaq8YRsSJYls7c99/i2muuZPLkyfTq0Q9Nt/BsOPjwIzh91FAe/8sElmu9KMnXsm3C5ctcf/bff3/O3ac75/15EpquY3oNVJVarF+/nrOv+DPnnHQ4915/NY9+uJ5EbhV9oikW6dsx8++T6VcSZbdDTmX48OFcf+FJzPvkQ8ZeeCFGIo50BK1trRTrEd565x8k40kuv+pKcp7DfQ/eh+r52CLDyNHDuOC8eznwwAHoio8SxD9y4hGjeXb6I9TV1XHY0b/j8kvOZ+SwYxBCYdm3y7njzruYPOlJ0uk8RxxxOK1tjVRWVpLNpejZszuTp0xm+tR3uW7c3Wy11VZES2pYsayGq668geHDh/HVN59x6mnDqC7bn7q6OhS9jbhusv/+B3Ddn27ltouuYM6cOVxw980cv+u+GLpOtqKI5556gicf/AvX33k7B//moEAs52o5ZOAgDjr/T1w87AAuvPBCVqxaySpZSTQWo7JpPs2JrZhw7wRmPfwAe+3/fzj5jNOoWzGHISPHUZ/rRu/IO0gkB50wgduuPwKQXHXJHWQSce649VaslIumqZx44onsMeRgLh17MQCxfNCG0DSywaAwsf/0fR0SEhISEhISEvKT2OLDIH3PQ1FVRCHULF5UxHtz5nDcCcfyzdKvWbiwDt+FkuIkimLy0EMPMnXam8z/dB5TJj3JK69Oo7Z5LcXFcfbeex9mz/4Hn3z6EZOfeYbysgqOOuooamrX47ku5eVljBp1CrPnzuHpp58inUpx22238fnnn3Dx7y8lYlm4rk17tp1Ro0Zx+umn8M7bb/Pqq68y/c03qe5ewfjx44molcRjUXzZxDVX3kpTAwhfpbxKpaFxKdI1AJt3Z89kux134p677iGdzhRmDykkzBgN6bZAoBaiP4NpUx5CBOGP90yYwPXXXc+sWTN57bXXmDp1KqeeeipDhhxNS2sLZ59zNoMGDuL111/ny0Vf8uijj/L1V1+RTmexLB3X9Ri450ASiQTPPfccqhaMrH3yySe4UvCb3xyAk2/noccm8vEns5k66w0++GgGN992DWYiwtbbDmDevLf48IMPeOnVl7jphmv528Qn+G7pCj54dxZ3P/AQsz95mxemvswxJ47gvQ8+xPMdq0nBfAAAIABJREFUdDOKFUuweOFCrrziCq66+mpmvDGduXPnMnv2bE4//XQevPc+0FUUVWH+/PlMmvwMnu9j6iY1NTUUFRUFbcP3Ea6Lm8vRr18/PM9DSomiqjz7zGSy2TSRSIRYLMGK5SuRElRVZ/c99uLzzz9n+owZvP/eHJ566jFcu50Z09/hpZcm8corTzJx4uO8/PKLTJ7yNLfdfjNCepSVlfC3v/2VD95/mw8//IgHH3mEGW/OYH3tejRNQwjB4q8WY8RiqEVFZO0sX3/9NYqiYFkWCEm+3eWRO+9hz732YenihUSLSnhi8hTmfDCPm/9wPdLN8ebc9/nko/fYb59BlJZUoOsGq76r5azfXsjtt97EwkUv8f5Hi3j73U+orVvJ61OeBxc0TTJz5kxu+eOfkBrkPYf+/fsTj8dxhYcnfNB1MtksL06ZQlNrM7Zn/2L3dkhISEhISEhIyD9nixdrmq7j2DaqouDmc9jZDMuWLeO6cddy2BGHMWbM+RiGJJVrJhJN4PoqyaRC1NDZun9vdt99N75Z+iWGpqCqGsIHBaju2ZtLL72UmnXrqKurw/NcTNNAQeIJn7LyEjzfp1v37sGcJilwHAddN5g+YwapdIrDDxtMIp7Atm2ipsnwkcN58cVnkCKJpqr8+e5r8RzBqBHnoKomufw6rGgW4Vhk04386U/juWDseVSWV3H3nXeTBqRhogsFIibC88EL5lQJQNV1VFXF8zxcx2HUqFOIRKKYpklJSQlnnnkmiUSCNWtW079ff2bPmc1zzz/H0m+XsNNO2/Paay9TXV2F50ksSycejzNs2DBeffVVWpqb0TSV226/jd323IOqbiWUlxVR25Ii3Z6DVBMtOXBUFenaqFqETA503SSiKiz64jM8X1JelgQ3y7ljL2PR/G/RvDznjj2D4445FB2JZkbI5Bw+njePUaNGMfjQQ4lEo2iaRmVFJeecey519XUgg/mAo0aN4u577ubjDz/C8ZzgGorAVEXXdVTDwIhGSaVSRM0o2WyWiBXhiCMOY8zpo8llc0gB3at70ZqS6KZOJuvQnsmTzdq0tjWSTESYM+ctdtl5Twbs0BcFiMfi9O3Th9+eeTpPPT2RWMyivr6WWCyJYSpoqs7ihYuorKhAVVVM02SXXXelZu1a1I7ymRr5fB7LtCgqKkL6EjeXY8qzL3Lq6Wey9+7bM3PGm6iGhUTFUHy6lRdjRJMUptFh5xyiEYu//GUiiWg5Bx56IJoOKHGiZgnDhg3mlZdeK4g1mDRpEq+8+gqffTyfSDxKNptB0zUMVUeqwVD12jVruOGGG1ixajmWbv3H7+mQkJCQkJCQkJCfxhYv1lzbxoxE6HCByGSydKuqot1OMWbMaeRyWWobPKLRGLmcg2Xq2A74CBRUDNOkukc32t0gTFAzoKU5A1KSSqfo168fmUwGTdfRCmYhqqriOC6e65JMJPA8CZqO53n4QlBcXExNTQ2aBo7roGkaqmVRWlRCNJZgyZIleJ5HRUU5V119JfX16/nii89IJhPB+ibM//RzfE+y444DOGPMabz3/hzSucBI0HEcLCsSmFioWsHvERCBu4XneWSyWSAwEOmIZI1Go+y0006sWrWaBx54gKOOOoqHHnqYs848i/33P4gZM97C83w8LxjDy+VyHHnkkdi2zYIFC0mn22lqbGT48BPRNY1UqpWbbrqRwYcewbDjj2fw4BE88sjLgMKXi79iyJCT2XfQ3hyw36/5+9//zj0TJpCsKmPypMmUFJdw+SWXMOzww7nsslvJeiqe6xKNRRFSYBgG9fX1xGJxVEXB9wNTEVVRcF0HFMjnbbp3785BBx3EdddfR6a9nWQyiaqq2HYwstZBMpnE9mxUVUVVVYYceRRtLU08MfFv2I5NNpsjWazg+bB02QqOO+54Bg8ezPHHHUfN2u8oSsTIFupU16HDWma33XYjGo0GoY8KHHzwwRxwwFHss8++3HvvBIYOPZFuVd1wXBdVVamq6kaqtRWAD+bNo7p7NZWVldTV1aIqgvvvGE+PPQ5h2/2OZPfqJJNenEbe1/H0KFWyCaVhCY1KCRYuEVyKk92wXRe0BpprkyAlLo3gloGsontfWLfaxWmNoGoOO2+/PdeMu4Y5s2eDG5jqqAVXFFFoJ9v068eiRQsZtNugf/v9GhISEhISEhIS8u9jixdrhmXhOQ6e66IqCrNmzuSbJUuYNWsW09+YTq/evfnisy/IZrOUlJSQtyWWCS4uOXJomsK6detQ1Q2iprQ8DqpKxIrwzdffEI1EUQg6/xKwTBPh+5SUlrJmzRp0XUG6NpFoJHBiFD7l5RVouo4QAtMw8W2btnSKfD5H7169QQnE09bbWlx8ySXMmvUmedumqKgI4cETTzyBbds88/xLPPfccziOwzffLMH0AjfHdevWIVUVhOi8SK4ThKx1hNVls1nyduCi6Ps+bW1t1NfVUVFRgRUxuPWW8UybNo3zfvc7HMdh3Lir+fyLz3HdwOXQMAx69uxF//79mTJ5Mt+tXInneey2224IKVBVjSuvvJJZ78zkwQcf5O9/f5YrLjsBNZ+nuns1J5wwlKuuvJIjjzySrfpvxaJFi3AwiPTsyRvTH+Gppx9h2LBhfPHFF9w/4QGMWIzGhkbi8QRewdzFNE28zjmJoEYsPC8QYZqmInyfm268CeEL5s37EFVVSKdSWFYgNimkK0in01i6VWgDeaxIhDPGjOHBhx4kkYjjui5SQFNTlq226s/jEx9n2rQ3ePzxx+nZqy8162qoqCgnlwvquj2XQSJZtXIV8VgMy7Lo1q0755xzDmeddRajR4/GcVzef/99BALh+5SVldG9ujtz584l39jIW2+9xe4DB7Jg4QL69u0HQvDVV18xf/58/vGP95g7dy5Lli5hzZo1+AWnz2g0imEEDw0kksamRgxNo7W1lb0GDQIPLKzAgl9C7dpaysrKMCvKyOfzrK2rY+ixx/Dxxx/jOw4DBw2itbUNW3ioikq+rQ0tFiOXy6OgYIswDDIkJCQkJCQkZEtlixdrTj6PbpogJK2pFI888ggDBw1i3eq1tKdSHHXUr/nk03mUxXuQSbcSMXzaUx4WFZBPMGf222zbfwCatFDUwLI+m82Rz6Z58sknKC4uoqKyEiEkUhRylAkF04ySTqcpKS3F8ySKYRGNRLGdPLvstAuapjJ//ucYuhGMlhkGn8//iv599ySSbEFRdNKt5eQ9OPW3h7Cu4VvembUCvL6sb/qWpUsbOfmk8xCZFg47ZjDHnnAU14+9EM91yGsefYvLsRQJTg4DUCWoRiBsiouL8T2PlatWEbGsIP2AovDhhx+ybPlyiouLOeGEYXz2+QKKi4o49ZRRfPDBexw1ZAhLlyyjuDiO57koauC0edlll7Hoyy95/rnnGDduHGWJKI7jY8WL2aV/NUXFRXTbbR8G9AZyQLycRETj8ktO5riTR3DVTbdy5HEnMuWpiXzx/jxuu/GP6Hno3r8/I666iWcevQ/Fd8hmbZIRDT+fZvttt+Xtt99mwYIvMDSdvG1jOzb/mDmLblXdwPGIRCIIKSlKxnnssUd55ZWXaW5uprSsFMcG0zQDDxrfJ5FIIKQgk8mQz+XQdZ1TTz2Ni8eO5Zprrqa4NIEnobTCIl4UY+ut+9GtewXbbrMj0tc5cL/BfPTJbCJRcD2CkEVH8Le/PU3fPtthmgnsvM+oUcMYOXIo519wLk899SRffrmIdCqNpmk01Ndz8IEHc9dddzFp0iTemDaNQQMHUlFeQUNDA/M/+QjbznDJtVezYPkyttqmFxXde3HXvQ/g+j5xHMi04AhQhYN08iRLNRzPZ/Soy3nno0dYtWYpgiSutgKpr2bhFzl227sHnrsKQy8LxKrrMua3v+XCsWN5c8YMEokEpqojfUGkuBjpucSLiwFQlS3+T0BISEhISEhIyP+z6L90AX4MMxJBCoFumdx26y1I4KKLLsLXMliGBTLGsccdR3vLOZiaz8zpM3FyNitWfcEdd9zJkUccR99u29HY3Eh9wzo+/ngebW1tTHvtBd6aM5fnX3g+sK5XNIRQkELD9jxUxULXNAxdR9cVvFyWXD5PIpFE1TXuuusurrriTjKXDOOQQw5h7ruzuPvu+3j8qeexIpKmtjRCUZEKKBoMHXYSvz/7Jfr17887785ll90GMvb3F+MJB13JsHrVambO+5J5781Bq4gxf/rbvNutmG7lBrWtUVzX5Zgj9w+iQYEDDjiAUaecwu/OP5/jjj2emTNncuutt3L6aWcwcOAe7LzTTpxxxhnce9/d7LzbTvz1kSeZPn06h991eKFmNfT/j73zDpOquv//69w6ZfsuLEVARRFRQTSW2A0WrCg2LAjWaDRqjC2J8Ws0tjRNYtQoSiyxxqghKipFsKAoiBqMDaTX7bszc/v5/XHnzs4umK/5th8m5/U8A3dm7j3t3n2e857353xOccuuvff+JqNH78qcOXP4j+tuRA99LCtNhyN5ZupvYeyhWKGPMFeTSadx7HoyZogBeAhsq4J9x4zl7genMXTHXbni+9cw85hx3P3rW9iw+jOu+9XdnHDsOHwMwnwb1Zbgm/vvj3fTDVxxxRV853uXMWTgYJ588klmPz+d23/9G7AMNm5swvM8glCy/fDhjBixE7Neexnf87FsMDUr3sXc88jn8yXhYVk2YQSmleG0U09l/oKFaGEIBjhOgYLXgePGaxQNLQ2OxsBBO9NvQIYDDjqSu+++i6r6Tn5zxy/56G9Lee65v+B4G2hp6ULTTNJpiLSAHXYYTlVVFV2dXbGruXEjgwcNZvDgwTz++ONceOl3MHSdvo190TTB9NmzOffS73P4McfGdyDy2XGfTzjllFNoWn0hqT5DWZ83qHDzBJaOECbthQ2YqYg99xzBeZccxzXX3sqlP/gjOw74G7Nmz+axRwu8P/d7YIFmVOG6LhVVVRxxzFH89je/RtM1CoUCTuiR1i0KTW105PNMOPEEfjr1bkbvtOv/6d+zQqFQKBQKheKrs8WLNWS8e3HLho20tbVz6qkTMAwDo5gYoaWlg1122Zm169ZSKBSYN+9NHnnkEbJVIYeMGcN11/2YlatXMGjgYFavXs0ll1yCU3AYtcswHn3sMUbuMhIPA13Xyefz8Vox6dNUyJPP5zEtCynBTGcwTQOnUKB/337079uP/fb/hBtuuIEbb7wRM7Q56/zvMnRoLTlvJf3790dKiW2D48Aeu+3BgAFv0b9fPz7+5GO+853v4DgRmhGBBoO32Zo99tiDNatWomkaixcv5sfXLUJ6zfj6QEaNGsWxR+6PJgSRlJwyYQJr167jvnvvY8p992NZFjfccAMnn3wyvh9y2fe+hxCC8847j+raSgy9gvPOPZf999+HXM4jm7XIFzop5Duor2/gjDPO4MknnkZogq7OTjzfo7FvIy+88AKvvzId3SvQ2mEwatSuXHbmBCorq0DG6+ci36GxsR9hGNLc2spDDz3E5O9+n/Hjx7PtoDoqawYw7rhx+L7P9tttj+M6EEXcf/8D/OnpP/HTn/6Uqkwl+VyOG2+8kX322huvs4vq6mr6NfbF0AWh5zPm0EN4Z9GbNDU3E0WDQINcSwvZujoqKyuBOBxS0zQsw2T9ipU0Dtma/fffjz//ZRo6UF1RQUNDA5ZtxqvSJPieR+g4fPeSS5g/73JOPPFEavrkaGzYhtdem0vKNvj08/Vsu+22rFq1ju2G9kNYFDcit1m2YjmDBg/GNE10oXPlVVdx1VVXceCBB2IbFq0trdTU1FJwHHYcMQKAri6HrBEyaNAghg4dynuLFlFbkaK6phopI3w/IpPNMGjQIDw3pK0NzrrwYj747GEuuOB7bFU5hQ0burjlNx+DlQLPwfM9bNsmInakH3zoIQ44YH8Or8hi6fHm1+maGlavXk2hUIjDSBUKhUKhUCgUWyxb/D5rTqEQT4I1HadQIJXJxPuumS6uG292HfommpYCKQlDiWlphAFoAjAc4qz/glBaiNDHME1kWMCXEAYhkZUliiIMw8CKIkInj5Uyyes2gYRMBIa2DoRAOo1EVguu66Ib/RGyi86uTuqrGgkAVwqiQKJb7Ri6g3D7IwFprESG9eiGQZi3SFWE+IGPEXpguQihgV9PEHZCykF3+hDpPo7IkxXVBD74RkhQ6MQwDGw7DhFESjwvTs6h6zqGYZb6UsgXsNMmQeQTRRa2pRMFYOjgugGWHSFEGAtiYeEWfGw7DUGeQNMJIollaXihJMQiG4YgBJHUERr4QUBgGdhanGjFFgYRAs+XZPSQSNdwAx9bc3FDHTNVQaELslmQTgE9bRMEAW4UErgBtm1jRGAUQ/aEZeDLiILnUGFaSN0n57SRsvvHW4URQJAj8H1MrZ7IbkHXdPKyBj3wMYKASJMIQ8ePQjBNwiAEdEyhISOJEQoMqYMBob4Bwr74gcRKt+MWNHzXoqoyRYRHV76Vqkwjvg+6nUeTGSLfJ69FVHga6DptdkR1V0gkJbkqCyOIsP2Igi7RTRshwMqvQzN0Wo0+1AoXwpDAD3DSVXgB1IVNFLQ6TFPDcH084WJYAtGZIWe4dKYL1LZWYRk6XZUOdovArrSJdJ8uYWAIQdqRCF2AgHYRYOgGQehT6Uo0wwAhyJsCT3rUCLUttkKhUCgUCsWWyJYt1qC0r5iUEk0rW18jIQqKGQSNMoOwuB9bdwGyqNqAso+/GsVsg1IHUXQhojRoxWOZBhEWm6ODBBEBeivINGEQJyTRNEDvIpSxGyikCVpXfF2YjUWDGfctCiPCKMQ0TaSMkEgEFBNwSEDfbEvLb2MyXlJKBCK+VuSLXcqA3hIfB3VgtBf7VR03XkQQGMVFchKPgDg3ooYZachYryEJEZpGoHlokVmqN3ZCI6SMCMMI07YBUcpombTSCyWmLuJNoks7yQFSEkkRi0LR3VcDj/gGaqUxkEAYxinrBRBJHyEEgogQnQgdM8rhCBNXWFT7zQC0mfXUBPEYOEYdKekUa7Hi8qUE2d3meOuEuOVShMStjtD8KB4MQ8cva5OVdDKiOKYSKQKQGkLoEMb3Wuqt4NfGj6UZC0UZAWY7gmp8P8TQdaSIE4EakUsgDEKhYxO32SOFGUZIKQmEjrX5x0OhUCgUCoVC8TVkiw+DTLI4JgLEL6ZIN3SjW6RJGW+ejUAzes1WE6HWW8T9LyAjYjGjxwJLNyCZ8UdERSERnxfKgEhKbE3gBgF6VBRrUmKa3eKnvMXxOGy+bvG/3LfuNsTDGAtAQShDDK1sry4BibjTyp6uIAgRWizLokhiGt19i6LiwBHfbxGr0zhDp4wFkPGl/Y6/F/wPJMtIChKxI1VemkAU+1bWkGTMo4io+EOChogbHatHEEUFr1MU0FEs2srqjB+RCCEhjEArCvR4SwNAT86Jx6T82iACS4vL+7IxUigUCoVCoVB8PdnixRrEk/l4El9M765pyChClDltelHgfCn/LTEjKQ2VgJ7DJkr/CpF81VMwhiFoetkkW4AudDQRKxFdi8MKATT55e38R2Kt93lATyeSTPyfHoCsi4+NAGR1seKo2AsDROKAxU6WoFtYleovlR1vUp04eVJGaEIU75dGJCVRFGIW7S8JoAnyXoAuYhFuaQJN7x6zckmi9WhLD6mCkKCLokhOBOQmJcSt14BkkONjvVRqSZZ9pUdk05OklEii7lr15AcCETuvmoZAFuvvvteglylCIw7t1IufA7qhxeK22E+EUeqL4waYpoldHLYwlASRwP5P/gwUCoVCoVAoFF8ftnixloQ/SinjPc0sq5iqPpnlypLzFofQSYji8EFdN4rWy3/RVStFFsZuSEy4+WMRxX6IFMW2SozkK9FdWCQjZAiaFouIKJJoereokpSHNBadGAABQvvyPiRiKaFbuMj4VWqnC1HxtusFiCqLx34c7rnJI5G0TRTrCRFCx/c8NF2P3U1JmZguhgvKeJ+w0v0DorDbPbMtAyFlfLaM4ibS7aBKGREV73Fc7qZirbvvcT+FEERRRCRjIS+KTlgSPNlDrBX/7SHWSmMlkWhFESbQN2PYyaRiIRCahlYWBll2QncDRXc/it1FSFH2WBbFowApRfdYADKSaLogQhTFMFh2Jg4DDTzQLdAEpsrCr1AoFAqFQvEvxRYv1qIoQtf1HmvWNC12e2TR0Sm5MkKgJeF5UVgSaIkz988LtmStWwQycdZ8kGbZceIIRd3iQBhoml6su3tiL0QxVC9WDvhhvNKp3AArhRiW3mvdgu0ftVSITUIhY/EWIUQvsSazxTMckEWxhk9PISR6/F8y1Ix4bZ5u6AgEIVqP9nefGccU6rpGFEUEvo9ldSeyCIEwjOI1iRpoRrd/l/Qliv2opGb+kVjTNFE61nWDOJgQEBoaIpZC/5mzlizIE4lTGn8bhvGlyf3t2U9KIZtJr3uGU4pNmlz6SBilumTR0aTYzqTEWIjGblpQEp4RXZ4kZVlYhkFI/JxpvZqlUCgUCoVCofh6s8X/Fq9pGr7vlybw+Xw+XuMkIIjCOE5OQMEp4PkeCHB9D9fzYmcHiYwXAP1Xai++gpLpAn7Zsdt9LH2kjMjlIee6SAShhKDYRE0IoijAdfJxEgkEOjpeEHQXAXiBTwQ4nosfBiXBgdCI/kEqmDAMCYKATfPFFH2lks5JdXeLdNmxWayHOCRSyO61YMkpkUPodIB00HQdoWu4ftijNj8I8cOIQArCYpIOIQS6JmIxJANaN64jCCWGocd7nRXduSgM8T2v6MD1XJ8VoXWLt9L4x/8nMi6SUHBcCm4sPOOH20BHwwLQLNCsHsfd8k2L4yqJ4lfRqYxkPLZRafCTVmkl1zYMAvwoIEiSpPR+1KQkCAPCMOxRhJQWQQieLxFl9yUMBZ7vxO0QoGnxmj4fcF0XpIOwrDjFSJDHK2pxXQk1hUKhUCgUin8p9Ouvv/76/9+N+KrkcjnuvvtumpqaGDZsWCk80vd9fv7zn/Pee+8xcuRInnrqKVasWMGwYcMQxfVTceikKIXZQbxHmF505cIwLDl3QTHLpBCCwA8Quk/gWfHcXCsQeDaaBpIuhEzjFlwMK2TGy2/y1NMv09G1mq4ul5rqBlKWEWcTFHkKOZ+7776b2spB9OlXQRSG3Hf/w/TrP4BsNovQBK+99jrLli3DME3ef/99hgwZgkTiBz66psVhk5pWypIJ4Ps+XV1dTJ06lREjRpS+13WdKAqJQommRUhColBHaD6IkDDQ0XRJwc1hGnacD6MYyugHAVKU0iyiCUFX83qm3D8FGQX0GzgETdN4afYbLF60gLq6Ou75/e+Z+9rrzH51Du+8u4BFi95n5KhRWIaODEM0TdDRvJHf/PoO5sybz6xZM9lq0CBqq6tKztgLL7xIc0sLAwduhRQaST7MIAjRdY1CwcEyDGQUr/eL72nsIoZRyLvvLuDFl6az2+jd0IUWO1NCEnoOwjAJwghdSCKhIxHIUOKHAk0DQRAnQhGCfN7hrrvuYeHCRby3aBGartN/QP8eEbVaFEEUMee1uVTV16NrxayZaERhhACWLV3KHx95iLfeeYsPP/iI4TuMwLJMJPDcc9OYM2c2s2a/QlVVDbW11Tiuw/33P8Cbb7zBW2/No7q2Hw31NTSvXc3vHnmGhfNe5bP35tFn2DdYu6GdB35+PS1+mq233Roziv5hqKxCoVAoFAqF4uvFFu+sJYJK0zQ0TePFF1/k3nvvBbpDJD/77DP+9Kc/8cILL6DrOnvttRcnnHBCvLdaGOI4DoZhlJwN3/eJogjP80rvhRBs3LgR13UxDCMWbhIM08DznTizowBfeiRJKAtOJ0Rgp2wIPd56800mTTqb444dz6zZczBNuxQi6Hke2YoKmpo28sEHiwFBPpfnD394kOdfeIHEEHt7/nwqKivo09CHnXbeCSEE7Z0dmKaFF/joul7a+Nn3fYBimn/J1KlTS32F2IXRdQNNM/DCAkJE6JqJH+YRwkcTNms3rCCdNgADpI7rFmJxE4ZoGnR0uGhaLGoqqys5ZMxB/P7uOzEMg6amJm666WccfPDBNDY2Mm3aXzn44IO5+pofMPHMyaxes5Ynn3yKzs5OZNEOS1kmb7w2l3POOYf5b8/nD3/4Q9x3KWlv7+Dxxx+jubkZXdfxfI/A94kkGGacSTKTTpHrysc3o+h2dbS0xcI6lGw/bAd2232PWIRLkAicfA7T0sg7Lppuo0mfdRvbiNBwCy66Ce2dsTNqmAYbN6zntddeo7KygqOOOorjjx/PtttsQ+BHJaEWhiFzX3qJn/30p1x77bWAJG2l0TSB7/loRuy8Tbn3XrbeemvOO+981qxZy1133QMC3nlnPnPnvMlpZ5zMuOOO4sE/PIptG1x//bW0trRz3vnn4bgFzph4FvnOHOPHHc2HH33C5EmT+MvTTzLpvItoHNTAXt/ckw/+9hF5lx5rHxUKhUKhUCgUX3+2+Nld4h4la9YMw6ClpYU1a9cSSokfBixctIiBg7aiubWVjq5OXnxpOi/PmIGm63z8ySccM+5YRo4axTPPPEMYhrzxxhu8+OKLnHTSSdx1112YpsnVV1/NhAkTmDhxIuvXryeKIt5/733OmXwORx09lilTpsd7eomIp556h/33n8i3L5zM23PeAkfy0O/v5OWXXuLGn97Gs399nudfeImTTzmVF16ci+sRhwEiOeiAA2lpagYpWLZ0GYOGDOb1119H6BpBJGlqbmbYDjvQmevilZkzmPb8X3lg6gO8OvdV9jvgAC677DJSqRSe57Fo0SIOPfRQDjzwQJ588klM08T3ffL5PHfccQfHHXccx40bz8qVq7EMwW9/9yumv/AalhHyyuy/8ODUv9K/sZb23HomnXkR7733AT/7+W0M33F7Lv7ud1m/oZXqShsn78TOlykZPmJ7TCtiwXsLeeSPf+S1EEIwAAAgAElEQVTgMUdQW1tDR3sb+YJDhEQ3dPr0rWX4iB1pbe+gsrISw9DBddAin8grYBo63/rWt3jzzTdxHIcgCGhubmLOnDnsv9/+TJs2jbFjx3L2Oeeybt06JDDlgYdYu66ZH/3wR5x80snMePllvrn7Nzjm6CN5ftrz2LbJ50uWsvC9DygUXFZ+/jlXXv0jDj9kDE8+cDedAbR7IU8+dC9LVq/nG/sfyiXfvYh1GxyyVWYsVJH07dfIiuXL6Nu3ga23GURVZSV1dTWEYffaQYGG67rU1zfQp0+fODS3+I2u63S2d0Ik+fSTTzjiiCOQUvLNb36TN954ky+Wfcafnn6MQ8ccSrbCYNgOg/n2+ZeQK7Sw6P23OW7ceDKZFN/+9nmkMlk++fvfqa/KcvkPrsOsNLnnjp+xZPVGlq110fDIVNWRzkDoB//Xf54KhUKhUCgUiv9Ftnixpus6QRAQRVHJSTr++OP51e23U7ROWLp0CZdddhm2bVFZWcW6det56623yOXz/PJXv+Laa3/MM88+y/Tp01m1ahWu63LXXXdx4oknsu+++zJhwgQGDhzInXfeySGHHMJNN93EunXrOOecc9lpp5258Sc/4YMPFvP4E2/wp2lP8Ze/vMi1117CqaeezE033cQTjz/BmDHfYtttt+XkU45gm222Y5ddduG8885np52GYZrdonPETiNYt24dkR8w9YGpTD5rMku/+IIlS5bQ2dmB7/tksxW0tbfR0dGBlJKHHn6YV+e8ypQp99HU1MQ111zDG2+8wVVXXcXFF1/MAw88wMqVKzFNk6qqKqZMmUJTUxM/+tGPOP2M0zjr7Em89fYC9thjH97/cCFhaPLsn6fz1vxXcT3B4g+X8PHHH/LW2/P4aPHHPPfccxx40EFMnfoHCvkI27aRoYTQByE599yzOfPMM3lg6gOcf/7phGGIZVnU1tay8L1FzJn7GrNmv8bM2XMYPGTrOMGI54GuYWRSCCR+EDJp0pkEQcCSJUvQdYNbb72NE088iZdeeomXX36Z6667jpNOOonTTz+d5SvXksvlOfXU09hppxFcfdVV3H3nnTzwwP388vY7WLBgAV05l+bmFp5/YTob163m+HHj6NvYj9vv+CXvzp/HuedfQHsux4fvL2Da89O5+57fssvOO3PflAcII7BsC9d16OxoZ968efzxj4/xox/+mPHjxzNjxqukUrFj6fsSXdcYM3Ys51zwbQ4++GBsO0XBc+LVbIZGZXUlXj7HHx78A1IIstkss2fPZvz4E2js24cPP3yfZ56ZzqWXXcTkyRNZ8O4C2tpbaG7ZSG1tHYVCgarKKvr3H8CSJZ/TvHED2UoLQ4Y09O+Lna1k5Zp1RIGP0A2c4L+W8FShUCgUCoVCseWyxYs1iEPOdF0nDEM6Ojo46KCD+Ovzf+X9Dz5ANww6u7rYftgwMtksnV2dGIZB//79Wbt2LcN2GMYBBxzANttsw1133cXgwYMRQnDUUUdx2mmnUVFRwYoVK5g4cSLDhg3jzDPPxLZtKisr2XbbbXniiSe4+/e/47vf/R4nnbQvny75mP+4/joOOXQPDjvkEM447QwefvBhBg7bjh2G7cDIkbuz8067MHjI1owcNYrBg/vhepBkxNhq8GA62ztw83lenf0qo0ePZvdv7M7Tf/4zfhBQ31CPEIJUKoWm6XiBj2EYXH3NNey0085MmjSJ+fPns2rVKi655BLGjRuHaZqcffbZdHZ20tXVxSeffMKtt97KfvvtxwknjKe+vpYF777PXnvsS0dnC7pewbS/zCBboWFblfzuzimce/5kdt11Fz78cDGTz55Ea1sr3/3uJWQyGmEYr/VrWr0KDI21a1YxcOBAUqk0zc0d6Loeu32+x4wZs/j9vVN4/Mmn2WPPvTj2mLEAGJYZZ1opFNCFxHMdGhsbGTduHHNfm8vy5ctYuHABl156CStWruDjTz5m5syZPProo3iex+xXXyOfd/jpTTdx3nnnMWrkKAYMGMBll17GX595lolnnEE2ayOEhmWn+PvfP+WYo4/i+1dcwk6jduVnt97MZ0u/oLm1nfqaKk4940x23Gk4x48bx5/+/CxCgygMsG2bVMrmF7/8BVOn3s+1P/4xN9xwI7NmzcZ1YvfMKO4+rWk6SEnBcSgUCqStFJGU5DpzFHIFrIoKMhUVfPj++4wdOxZN05g06VQcN8/q1avY55v787vf/JZ7p9zDtL+8RHPLBqqrK3CdiIqKDBJJS0srhh7vyZcr6OQijdyGdQSRAN1CFxGGaWMZcRIbhUKhUCgUCsW/Dlu8WBNClNZgJWvJdF3n2GOPZebMmbw84xWGDRtWWpNWka1gw8YNtLW3IZFkMhkc1wEgn8/j+z5tbW3U1tYWBZFGEARxxsKi6KivryeVSvHYo49xz933EMmQb19wMb/4xdNIImprobUFTEPHtmwa6vtAvgtNE9TWQVtnB5GUNDTEm0+n7CSNfvyqrKjk6T/9ma0GbkVdXR2HHHII8+fP5+mnn2arrbYikhGdXV105bqoqKigpqaGZcuW47ounufR0NBAR0dHac3d4MGDCcMQ0zRpaGigqqoKgEKhgJQhjY312GYDTt4g5y5n+l8Xsu9exzNspxreX7iaDWsCDjhoNLvtPpLpL77CxDMn8uxzz3HmpEmsWe3Ea/QENAweCGHAe++9yyWXXsquo3flpZfmERRDL9PpDFdfcxWPPfogv/7NHVxw/mQklMIccV2wDCorsmSzWfwg4NhjjyXwfZ599jnq6urZeuutEcDwHYYzaKtBjBkzhsmTJ7PHnnuhGwbDh+8Y7ztt6Pzk+us5Yfx4Xn11Nuef/202bGhH13SCMMRxPBrq6ggj0HQBaYv6vv1Yu7GJ1SuWsvWQeiIgCHyqa+rizJdavMO2aVkUCnnSmTTptMVee+1GV1cXQtOIojIHKwrBNKmqrCQIu0MQs5VZ0tk0bkcHH3/yKRdfdBGaJrjuuh8RBlBbW822Q7dmxIihFPxOsrbN9tvvSH19Da6XxzDifdaC0CeUEYahk7YtGhrBNiUi8nEDSbqiGsvQaG5rI+fzlbZ4UCgUCoVCoVB8fdjixRpQctVM0ySdThOGIQceeCCPPfYYN990Ew0NfQiCgA0bNmCYBpZlUVNbSzabZfny5aTsFB1dnTzyyCPMnDmzJGa6urpKm2yvWbMGiJOWvPnmm7S3t3PLLbcyevddmTJlCocffjgzZswglU7xysuLqa0Fxy0wdepUampqIJMhn88DkE6lSafSOI6H58V5MEzDBCnxHYe6ujoefPBBRowYgW2Z7LzzzixfvpypU6cyeNBgNKGRSWdIp9M0bWzC8zz69WvEMAxc18U0TTKZDLNnz6ajowOAtWvXIqWkubmZMAz5+OOPSafT5HI53v/gAyzLwrJg0KDB3HLLLey5555kUmmuv/4/cByXhoYGXn/tDUzL4tzzzuV3d97J6tWrqatLEXrd6fm7mpv42+K/ceQRR3L55ZczZ86ceJ8wKenq6kp2N6NQiIXkho3tZDKZWHDrGmgaHe0dBEGAaRgMGTKE119/gxeef57JkyfF45fOcNxx45h81mTOPecccrkclRWVhGGIYRgEXkAURrzzzjucf/HFvDpvHnvssUd8/6Skra2NmqoMTz71FJoGOiF/mzePpqaN9O3Thz59+tCWA19CGEVUVVURRPFz1tHRwcoVK5g8eTLr1q5HSliyZAWapmFZ8X5mAGEEWBa4Ll1dXfRpaCCkO6OoDCV2VRVPPf44V1x5JdOmTcO20sXdEQTVVdWsWbOBtJlGIlm5ciUV2Qrq6upYuXItGhrr1q6jo72DHXbYAc/zWPxRC14An376Kbqh09CQIShuK5A2u7OYKhQKhUKhUCj+NdjiN8X2/TgMMIoigiAOUzNNk0O/NYbHdvwj69at44B996W1tZW+9Q2Enk/o+RCE1NfUUpHO8IOrr6a+vp7PPvuMM844g7lz58YuXEUFpmly3XXX8atf/Yqdd96Z+fPnM2HCBFKpFO35Vk457RRGjx7N66+/xsSJ49l77725/vrrWfDeEDzPY/DIIXzn4u+A1h9sge/kSKdSVNgaP/7hZRx55JEcccQRhGENnZ2d1NTUMHjHBvLPC06ZdDYEAYP6NbLrTiP49NNPGTFsGKHrokcSvJA+NfXooYbX5VJpVxTT8UeMHTuW119/nSuvvJJtt92WZcuWAZDJZBg3bhxnn302hxxyCMuWLWPs4UdxwklHEOGz3Ta7EzCTY4/fDyklP7v1fn7wgx9QWz0Qw/icSZNO56CDDqK5uZmD99sDZA50iwjBF0s7uPDC73HJJT8hCgK2HjSYQ/YezMU/uplrrr6c0MwSCIMghAojRAt8+lXbEDkgozgMMtSQuomvGXQ6HumUxfARo1jw5hscPXYcgRvyrf0P4KabbuT1V2dQcAqgCartiIwRIoMcZKoIgoBnXnqBD5d8iuM4dDqdZFMCHZe+lSa777Un+xx+GCcffzzDhw9n8eLFXHXWGew2qB9/0QeRal9Dg92XjWFIrd2J7uQJ7TRCk/RtrOGYY4/n8u9/n1GjRjFz5kyuueYaZBTx21/fzqOPPsrcuXMRtk2gm0hhEOVdTNsmn+/ksOOOY8KECZx++um88e47BLrGO4s+QNd1Ro8ezbhx4/jxtbdw22238cXK91m8eDH7Hrg3aWsQF19wPQ8+fA9zXtuaWbNmcfIxhzB0hxGMO/tyfn3paey///7MnTuX288/j9GZgBnGEPqLJdRKkFbq//Nfq0KhUCgUCoXifxIhN91FeYvDcRyiKCKTybB27Vr69u1b2h8t+T6VSuG6LpqmYZomURTR0RFnItR1veRIJQ4dEDswNTUlR6K9vZ1UKkU2my2VvWHDBurq6tB1vZQkBOKQyiSM0vf9Upnl5ebzeTKZDFEU9ag3iiLa29upra3tcW2hUCCdTgOUPm9paaGuLg6nTNbudXR0lNxBz/N6ZIGsrKwkiqJSXxNx53leaYySvemy2WzJCUrGMJfLlRy8qqoqmpubqaurw3VdUqlYDHR1xeGZCQVii1YCgReQsgx0oKurk8qKLMiQyHPRTAO/q5OxY8dy3zMvslVjX1xfYkQhacso7kcd4HsOpmkgRYTjOaSzWcAu9Wf9+vU0NjYSBEGp/0kYrGEYeJ6HZVml+ymEwLKs0ngBWJZFPp/Htm0gdtU8z8P3faSUVFRUEARBacuIpN8AFRUVhGHYY7++ZGyS56iqqqq0dUTyrAZBgGEYpbH2PI+mpib69euH53lF9y5uN0B1dTUAruNjp0yiEIIwQEqw7fh3lpkzZ7Fw4SKuvPJywjBCV+n7FQqFQqFQKP5l+FrM7IQQJRHTv3//UoZI13XxfZ9UKkVXVxe6rmOaJo7joGkaNTU1OI5DPp/HNE00TcNxHMIwJIoiampqaGpqQtd1DMOgrq6ObDZbWhvm+z59+/bF8zyEECV3z3EcbNsuiTCgdA1QEoCJCJNSEgQB+Xy+VFZtbS0Qi7JcLgdAOp3G8zwcxykJsESoJXVIKamqqiplxrQsq0d/dV0vfdfe3l4SAcnG4FJKUqkUlZWVOI5Tal8URUgpSafTJaEGUFdXRxRFWJZVOiebzdLS0gLEolUDOrp8NChLYQ8V2W5Blyz0yuVyVFRU8Oqc12KhZghs28DJFfBcF3QdM50G04jbk83G4aPFvfGamppobGwEKAngRBQlaxsTLMsqiTGIxbBlWT1EcyKmXNclCAKy2SwVFRUUCgUMw6Czs7N0n5Lvkn5IKcnlcqRSqeL6QInjOFRXVyOEiMNCNa0k8oQQpec1GfcBAwagaVrps0SIJ0ItCsGy4/ZqeiwqbdsACWvXbuCJx5/sIRoVCoVCoVAoFP86fC2ctSQBSOIOJZthu66LbdulSXiCEKKHOJFSlpyXZMKcJCtJhFSysbQQAillKR19GIYlRyQZqkT8RFFUKiPeRFqLN2cubuSdtDOpw7KsHhtZJxtw9y7HsiyEEKX+SSmLCTzSaFq8v1fS36R9ieuX1CuEKLlriShJ+pMIz/K2pVKpHo5P4hjatl26Jul34lKWNuY2TMIgwDINPNeL3S3XKblaMgqK/8di983XXycnLA7cfz+iMMRAkrFTICDw3Hgj8kIeK5uKXUDPQzfSJWHl+34PNysZ+2QMDcMo3YN8Po9lWT0+T5zX5DopZY9xK78fyTXlz0Yyzo7jkMlkSk5eImYTZzN5X/4cSykxTbM09omoy2QypXFOfoyI66MoRiNMM97oOyy2s72tnbfnv81uu+1Gv36N+H6AaW7xkc0KhUKhUCgUiq/IFi/WyifOiROk63ppg2ygNFnufV0ul6OysrIU9hdFEalUqhTeVigUyGazFAqFbmFRnEAnwiURagnlwiUIgh6iIRFXQNlkO647nU6XQht934/30Sq6V0m55RP4xEWzbbskxJLyc7kc2WwWKSWe55Xq9H2/lD2zvb2ddDqNruulyX+54ExEZSIOgFLd5XUlDpNpmqV6ywVn3KdiSGokCcIQTTdKZSUhhGEUEQQhlhW7RG4Qh+xpAjzHBRmRTqcJPB9N1+JNuIUk9H100yAIKAnu3u1N7lVXVxemafZw0wBaW1upra2ls7OTysrKHqGnyf2xLKvkTCWhimEYlkJik/FMnrPkuex935N7n7Q1Ecnl9xigubmZ2traklBM+pBcnzznybNgGEaPHyjKSdy4zX2nUCgUCoVCofj6ssWHQSbCIAnRSybM5euALMsqhUQmm2drmkZlZSWFQqG0ZilxZRLRkoQdJiGWQGlynEql6OyM92xL2pCE+CVCLwlfy+VypeQnyUbWSdsMw4hFSFEgtrW1lbJaJv0CSuGUyUQ9EWlJiF9bW1up3eUuTHJ9+dotx3GorKwsOXSJ4ErKTwRZ4j5BHCKY9DOpHyiJTIBsNktnZyemaWKaZukYoJDLx+KpbI1Xed8SERmGEY7rxYJMQFcublvSJsM0iaKwWGYO3TTwHLe0ji5pb5J5EyiJmIqKCmzbpr29vTSOnZ2d1NbW4nkelZWVAKU2O46DlLIkphIBG4Zhae2i4zg9xhO6w1GT5yG5L67rlvoKscArF4GapuF5HkEQUF9f3+N+J65nUl4yJkn7ygWy53ml/juOUxL9KgxSoVAoFAqF4l+LLd5ZU3wNkGHP90JQ/jtA+e5fycOmlx33uLTHWbL7UGzxvysoFAqFQqFQKBT/o6gFLor/YcR/fgrEIkz0fLtJSfIrlvUvzT/7W4oaM4VCoVAoFIp/FZRYU/z3Eb0FgvgH7zb9vFyOFFfUKclRQok1hUKhUCgUin9XlFhT/A/wj0MUxeaOy6NvhSgPfCydI0Txg14unEKhUCgUCoVC8e+AEmuK/zbJmrTNijIgXnv2jx0iWXaFWkRZjhoNhUKhUCgUin9XlFhT/LfpLSc2NcHkVzpLoVAoFAqFQqFQdKOyQSoUCoVCoVAoFArFFojKh65QKBQKhUKhUCgUWyBKrCkUCoVCoVAoFArFFogSawqFQqFQKBQKhUKxBaLEmkKhUCgUCoVCoVBsgSixplAoFAqFQqFQKBRbIP9SYi0MQ8IwLL2XUhJFEWEYEgQBURQRBAFhGNI7CWYURfi+j+u6PcpIykleyblhGOI4To9ywjAkiqJNyi2vL2lLcuz7fo9zk/PL35d/X04QBHieV/pcSrlJ23u/j6Ko1JYgCHrUn7Q/GaN/VE75ePxnbO7cpLwvG7Pex5urK/lMSonv+5vc12R8k3EpH9cvew56l5+MV+/zpJR4ntejvC/r6+b6tbl+KBQKhUKhUCgU5XxtU/f3FmWapqFpGlJKhPjn9vAKggBd13tcl4g3XdcxDKPH55rWrXGTCX9yra7rm63jq7Trq5wTBEFpcm+a5ibXJ6/ycsrb+8+OTyIwNE3rIfSSfn7VfvV+X96mzZ2flBkEQY/x/6p81X72Hq9ysaVp2ibPRHlfvuxel5cdBEGP+5Rc/88+owqFQqFQKBSKfz++tmKtnPIJ9+a6Uz4RLz9OBEPioAA9Pis/DsOwJAg9z8MwjE3EYflxuYsihCCKIoQQPURPefmbo7zc8s/Ky4NYMAohegio8rZsrpzkHF3XSw5eednlbUvaXV5G77q/jKTM3iR1lrd5c9dsTkj1bkPv85P7mYi83u5Y+Vgl96l3v8ufpd4CvbzuIAhK5SV19B67zQno3uUoFAqFQqFQKBS9+dqKtWSyL6XEMIwvndxDzwlx4sglQitxxkzT3ESAJKKs3HXzfR/TNEvXlguGpE2apm3i1CXtcl235NaVh+GVC4tE0H3ZRD4Mw1L5SRijYRgl4VHu+HyZM+V5HpZl9aiz/PNknBIxl4T5JfWWi7jeIZIJvUVUMu69xyQJ/ewtepLze49bOZsTc73rKBeFydglDmVSXxRFJQest9Au/7+8beVjkLhovccn6V/Srs09EwqFQqFQKBQKxeb42oq1csrFRiIqyif15WuPknM3J2DK3Z7ek+pksp1M9su/C8NwsyKifFJfPqEvd+XKvwd6lN9bbJb3s/y8xPXb3MS/t9uXCIikHV92bbLGT9f1Lw3325zj9J+R3INykVPex4REyH5ZCGT5+rzNjX1S5ubaWC60N9f35Fkp7/eXPRvl7d2c07c5l3Jz7VQoFAqFQqFQKHrztU0wUp4YIxFRSehbMnkvTzCRuDKWZZVESjnlIk5KSaFQIJfLAd0JLMon8OWhg4mrlTgyiROViIHEvQnDsORmFQqFHu1PSMRm0sfy9+UkZTqOA2zqHjqOs0moZD6fL5WnaRq+7/cQK0nCjEQkWZa1iUvnum7pvCQktDw8sfyVjEPvPiTXJGWW38t8Pl8SRcl9TOorp3zcE2GXPAOJs5WMTVJG0o7k2t6iOJ/Pl8SrruuEYdhjTMqFWnm/kmcjeQ7L6y2/L4VC4Uvvp0KhUCgUCoVC0Zt/PnPD/xLl9p7YzIcyCBFRBJrGmjVruHfqwwzdbigTJpyIpulIKRCaIIziLH133nkn+UIeKSMymQxIGD/+BLbddgjr1q9jyn1/wPMK2LaN4zr0aejLueeeT77QwX33TqG9vQPfaaWhoYFjJ3yHnYZaCGHw/KxPmPnyLHw/oNbaQOPgbzLxjDPIZjby5z+9yEefryOQOjYBDRU2DUNGcOy4w/lo/pu8/NYHXHjhecyb/Qpz33kPy7KxwwJ2toJddt6ZbXbYhUfuv4cqW6PZt8GwkJrJkFSBU045hYdfWcCFpx0LQcirb8zlueefJ5vJ0NrSytCtt+GiCy4knalg8QeLmTFzBgcdMoaRI3chDANcx+WRRx7hpJNPoqamBl3T0XQdhGDhokW89NJ0Oto7aGtrY9uhW3H0MccydOj2rF6zgT8+8iiu52MYBq7rsd3QbThz4mlxeKJf4I7bfoJA0CbTCM1ANy1sWWDXUSNZvHgxRx1/EkOHbIWlCyK/lRUfvsc6bwC7Dc/w+9//nvVGHxrza9B1g8/1IYwfsx9jdt+JUDcJ3GZefmoKC9fWE+XXUZ1y6XL70bdvX845cwx/fPRxWlqa2ejUUml8TiqVohA1cM7kifTv24DnuTz2+ON88MEHyEii6xr77rsvxx13HL7v89jjj7Nu7Vry+Txp00Sv6s9+++3H3rvuyMcfLualF1/gO1dfgy40ZCQwZAE/DLntjnvIe1BRUYG24QsKjdVccMEFvPXUk6zoSPPt8yei6RICiYnGq7MfZ3lTyFEnT6BKShACIwrRRARBCIZFJDWEJpASBCpEUqFQKBQKheLfHrmFEBZfUfmHkZR+Zz7+wpdSOoGUvpRP3PcHedC3jpajdt1XNrc4MoziU4JISj+UsqvgyQMOOlj+/Fe3y1BKubGlWb748kty7JFHyabW9fLjzxbL62+4WfqRLwMZyM58p+zKF6TjhvL4k8bJBx95SIZSSilb5GMP/1qef9VvpZSfydWrZ8h9jpool6yXslNKuXbFPDl693HyhJMukzL6u7zsotPlR0tXybU5Kds7CnLm00/KbYZ/U77x7lI555nH5AkTvyNbPSl/dsuN8tlZr8k2KWVb0yp5112/lTvvPFx++MUa2ZXrkM1LFslvHHy0fPb1+fLTLill2yop/VZ56vd/IaXryo/fe08edfQR0pOhbMm1y1BKedstt8hjDz9Cei1d8pVp0+W+e+4rR++xl+xyHBlKKVs72uWo3UbLZStXxMMZhdINfDlrzqty1G6j5b33T5EbmptkKKWcPuPP8pjjD5OBdOXfly6Vl179Q9nmSOlKKde3u3JNc5sMZCQ9GchIujJs+ULK3Fr56doWOfGSq+Wnrb4MZSjXb1wjxxx6gJz1zgLpxDdQytyHctG038jf3TdTfvrun+XYfbaSc1etkbJpkZQtH8q/Syk/b/ekbGmRridl4K2SN5+zm9zjkItkPuiSsuMLuXq5lIcedJF89qF75A3XXCrHjz1QrnOklPJzuW7NbHnNT2+Rt97+SxlGjrziysvkFVdeJjs7W2QQFqSUnjzn3EnymWeflFJ68oorLpUffLhQRtKVXRtXyct/codsHLaH7GrLyVeee15ePHGS7JJSFkIp/UBK6XfIqGW1nHzhpXJjKOXyTillR7NcLTvkBlmQP/ve6XLoiEPkwo9apSulDHwp5bo2OfH4neTp558lv5BStkgpO5KnPsxJGeZk5OVlVHz+/TCSQRD8b/yZKRQKhUKhUCi+RmzxYZBGJg2ADAMohq19+umn3HrrTxm4VT+eePLRkhUXRXEIoq7pCKET+CFBGFFXW8dhhx7GsB22JtdpUle9LWhtBJ5G4Glk0hUYBkRaG76TYcigoXTlWkEaHHvU8YzaZRcCx2P6869w2Jhv0b8vFLqg31ZDuPnm60mnDfwNG6itrSGTTlOZgVRWZ9SuIxk8ZDCrVq/CSNkEYYjvgyma4sYAACAASURBVGkaDBw4ABOorqtj/PjxgMBxXTRdo27IYNLpFAaSlA1kMuTXrKaQz+Hm88yaNYsDDzgAAViWhURy1llns2rVKubOnYtl27iui5SSF55/AYBsNktdXV134g6hUSgUuPWWWxkxYgRnnXUWNdU1ABw+5jAGDRrM50s+p0+fPtRUV2PbEAE1VRYNddUUCgUKuQKe66FVVoGUDOxXi+/59K0xEIDnukRBgO8HIAUgwA0IJdgZk+r6vjiBpCKThUw1VNZiANUpCSmbwIMwgLq6OrbdfhucnAu6QWN/GDi4H7plUXBcauvqMXUAjcb+W3P+2WcTej7Lly/n3XffZcIpp1BRUYmuGTiuw9ixY/nVr26ns7MTy7aora1FoJGtq2PvvfemX79+mKZJGAY4ToGwmG8kKjq9QRBQU11DVoM+FYAhSCModLWRcxwqaqt4dtpfsPwQPI8Pl37GFx8vpcJOYRPb2QUXZBQx68XpTDzpZJqamkrPfBTJL10nqFAoFAqFQqH492GLCYP8MmQxcYMwDIgicm1tOJ7LN74xiosvvoBrr/0xEyaciG3ZpNIWrhshkIRhRMpOYegaQSDRNMHwHXZhxaq/MWTIEN5bsJT7p96N7wcIAX0aGjnuuHGc/+0J3Pm729l1193I4lJdV8ehx54F2nqee/ovXPijU4jCOEyNEA44YFf2339XTONvBH7Ac88+S2TaaPkOVv/tXQYNHsTuu49g5bsvgwbpFIRhwOxZs1m/fj1WfgMLFi0mlU6jCYFhanhNLXiui24YpA3ADcn06YNp6Bi2zdNPP80Pb/wJjutgGAa+71Pf0MDo0bvxyoxXOPSII9huu+34yW038fNf/JzDDzsUw9DxPQ/TMPA8D9M08T2PtrZWfvCDH+A6bjHxiQAhGD58OJ9++glCT7N48d+4/fY7MQwT13H51kH7scfuo9A1HRm5IH0iwA/jtXQh4HkuNdXVNDc3M2PGDN6d9xoZQ1IfrGbxooUMPXwkupWhvSvP1Af/yPyuz0ilU7xhDOfCow+kobGWVAqkF+L7IUu++Jy3FvwNy1vLx0t0VqxZTkPdLkgJzU3NPHD/UzRECwF4+pXPuejC8/jkk09xCg7DdhhOLtdFNltByk6z3777cfPNN7N+/QZc1+ORhx/Bsi101+GZNz9j9913x7INhC4IQ58gANsEIYBIYmYyLF78EXf/+gGEZmEVlpDdaggnjT8ZO5Xhltuu5YorruSi4/alpn9/bvj5bfzwqh+ycJ1GKEETkLIACQMGDGCffffFtlNIkiQk8bP/X91jTqFQKBQKhULxr8EWMxP8stU5InEYghDCkHnz3uKLZct44oknWLp0KZqQvP32PA468FuEgSRlG0gJ6VQaTdMp5ANSKQNNg1xXAHo7jr+BrQeP5OijDyMsJqiwzVpSVppDxu7Jtw4+kPXr8yz9YB733Xcff561jGmPXY6lp0jbGk4OKrICIoFtw6pVbWS3Muno6EBvaWbIDrvihQ5vz3+bQXseSb8B9XwRRTgFB6EBEl6aPp0F775D1m9ju+E78+wzz1A3cDCFrjaq6uuwLIuUbeMEgAzBcbBMA92yyGQyVFRkSdkp2jrbqausJQpCPvpoMRNOnEDeKaDrGo39+rPXnnty+fe+x3333VdKyGEXk5wYukE6ncYwdDLpdJwUREYgBG0trZjbx8lYqqurOfusyTiOR6GQpyqbQtfi+6JrOlFrB1pVNa4bUVlRgQboukbOc9GEYM8992S3kTuiRz59nGVokaQt0GhqaadPY3/GHHQwR/YfQ0d7ByMHfYOtTJ9g/VqMVBXoOl1deZpbm7j39/ezda1Pi7sd373kO+y1zyBeff0tVq5ajdCqMLHYsGEDK5Yupba6mg8/fA9RTBqTTqXixygI6OjsQNd0+vXvj6ZpHHbYYQwcOBCntZkluZf567RpvLfwGExDj8fZgiAgFs6OS1BwqG+o54xTTmf5ihVs1W83bLuerJXGC0NGjh7G4UeO5cffv5KLbvwJS1av5IgJv+TNm+7DEPGzbghw83mGjxrF8FGjQJhEgJQiFsx8+f57CoVCoVAoFIp/D7YYsZawiWiTEhmFCMPAdQo8/OgjLFn+BVPuvYuWlhZqamv5+KPFjD3sMDzXR+gmrS3tFHIFLMMim4672NHu0da5jJr0SWT1WhoG/JH+jdvTbVzkWb52Ab++7SX+4yffY8Ag2Har8eyx2z5cetNd5NZ2sP2QHVn2+VL222NUfEkBXpjxCrfffjsP/uI8Bg4YyCVXXYmnQ5R3GNony9nX3sHqdZ0YmqSqphKAlG1x5RWXc+B+38QKcmhGHOrZ5ELGsqFrI1HgE/o+uiC2YkwdIQPcjg5qamr4fMkSdhi5CzWV1YRRiAwCCvkCDQ316IaBEBoV2TRjDj6Y226+mVdnz6aqohIZRniui23bVGSzrF+7jrfnvcV+++wbZ9PUdTpzOVKpDLZpU1NdRWOfBqqrKqiskJhGHTKSuK5Dyk4RhhK9qgaiCN/1KOTyuB7UGALbssikUvTp05fGvo1Y+v9j772jJSvKvf9PVe3Q3adPmsSADAwgQw6DMAMSBEWyIqioiBhAYUAvogheEREFwzVdJasEUSSZSZKRESRIhmFIM8MkZubMiR12qqrn/WP3HLzh9/7W+q1178v7u/09q9esOad79961q2rXU8/3+30MoQ3YdPMtSbyjb+oMCgI2nTZIOLWfqVNhDKhoRTBtGlhAB1TqU5i5yVSuve5CqlmTrDJY9pVsjDVrhnjb2+bxmU8fTK/dAzs6QqZu5IXnnmebOdsShRFD64YYGBigr68f6zxjo+MUhSUKIxDF1lvPQWvNRoMDnHHGGTz22GO88MIiZgz2MjyyDoBJw84wxDabTJs6nRnTYmZM2Zo266klg5ArTFTFGTj+xE9wzi8v5pG/3M+JXzgNpAq5w1BasApQqVQATzI2RlQfoFC6zK4aBXjCsEuF7KKLLrrooosuuvifjDe9Zg1d1srCe1599VWefPIp/nTrrfzp5j/x1FNPccP1N/DKK69grSWKQ5zzBEFIT0+NMAhwHaf0wBjuu+8+Zs+egUhptx4EkCRCloETSyWusHDhQpYvX04UxNBu0z9zJt57eqZP57DDD+fJJ55GpMy0EARcccUViAizdtqJsbEx1q0bwiioGsduu+1GT08PI8MjmDim1Wwx0fRYZ+nr6wOYtJl33tETQxgAKJIkQZQi3rBeT1MQiPv6WLBgAY8//jg9lRpQ2tI/9NBDbDprU+bPm0+sSzqj9cKms2bxwQ9+kNNPP51XXnmFarVKHMdl02rN+9//fm666SZWrlw5WffMGMOtt9zC/u/Yn9WrXy/dNIEgeKMMQCWuvGHB7z1Yy5TBCtZZahGgNe1Wq1MKoWx/1QnFK5UqRWHxXhgZGWWw0xYA9QCKZrPUJypwVqGVotZTwwqoKKLY4H6vNHElLi3xHVAUBINT6O/ro9Vuse+++zE2Ps7f//44vZ3vCIKABx54gH323ZcoirHWUqvVqFSqCFCrgi0KhobWoYymv7+fdlrGy+3EgjbEUUSWZQCIpQz6YgNJ0SnhAPV6lc0235wrr7ySt799L2g16e3rw0oZqCnA2bJkQXVgABOGhKEmCBRCp0276KKLLrrooosuuvgfjTdNZu0/pUEqyNMMYwytNOHyn/+ct++7N1OnTUMFHmsLBgcHaDYbrFmzmhkzSmMIrUt90bW//hWvvPoqa9esZWR0lDO/+C1qvetZsW4xD947whnjp2KMIYoivO3lgm+cy5e//j5+8KOvs+2c+QwATz31FDvusw9IzO7z9+fWv73CySd9np122onVTz7AVtvM5sQTTkQy0CaiVgkBcNpQH+gjrlX426MPs+tGjv7BfuJYEQaGdqOBApQJAIVRpqxUIAK1Kr31HrSoMpouUgg0oYE8Sdh+p53o/+tfOPEzJ7LDDjuQNBNWv7acr579VbbaZg6vrlhOtVojzzKqUcgZZ5yB95577rmHNE0ZHx+nt7cXEeGzn/0s06dP55RTTmHevHmkacpzzz7BgpNOQaHwzlEUGeItWpfdJQ5LA5E4isrIwyUQhLQTR1+9lyyH3sARBQGB1oiA3xCqZQ4xMUYVZIVDdMB5Xz6bTaIQrRVrY8MHDn43B+21J0pKOmVh6lQi8JlAGKC04LwCpan19GHl9VLn5WLA8K4D9uc3f/gdIsJvbvoN3/r2t3nkkUfZZJONWf366zSbTb77ne+QZRlaG8740plopaiI47EVbfbca0+O/8TxvPDM4zz9zBOc/dVz6Y0D0sYoWw0GfPozn2bRohc46wtfYnBwkNdby9jEb8Y/fel0gqCKF6jX4Itnns75V1/FJrM2g7FhXOHQOeiITpsIjy1cyOmf/zy/u/VOZmzyllK35gU0+CJHh5X/ymHXRRdddNFFF1100cWbGEre5MKYDcWqAVasWMGsWbM6Jgyd0/ZClhfEcbmonRgfp6+/HwBbWIIwYHj9KFOnDeJUivLl+1K3mkqwCQCNRk6lJyM0FpsNosOcFSuXMntgS1Q1pB1Cbf066OvDRxXSTMjSjAHryKaWx6swRp6FRFEfiQLbaNLbA6uyHvqqit58Lc1oIwDM+FrC/o0QIKRAOjFziiLwbULXZtxNJagoUoGp2QpQmnV+E2ZEZcZFDIy1W2itiXQIhaNarUHhEVVmZyTSeOfR3uO8wxaWaq02Wb8rTRKiKEIbgy0KxsbGOpo2Tf/gICiFoMnynGaSMNhxi9TAhuZHgHQYwpA07GNopM3UKTVqPgOE4TVrqG4yu8yuKYjdCOQZeXVjIibIXUEgU8GCDiE1HhFPpAKSEQjjJnE4wWv5TGZWNbGHdljgsPRaAVOjMTZO1t/HNNs5qdDjrccrPemq2Gw2S21iHHfqxWV47ycznADpxCiNeJBqDHWxIDkkE7R7ZmIAI6BGVmAG+hlOK0ztKQNzbJMi6aWMqxqMhCXddYptkBGQ6CoDWUIeBBRhSBWwTohUVrZxlmNNBRV2juc8ge4UbVfh/4dR00UXXXTRRRdddNHF/x/wpqdBaq1ZsWIFWZYxa9YssizDOUeWpiDCqlWrJml9WZpOBmpAxzKeyQW5dZY8gzyDMIgm39fbGxHqgMymZFlpa7/5ZrNRQbnQ93joHCNJEyqxolKtoDpGHQ4PeUEUGLKsXGRX6uXf+qqKxPJvUK3XcfL/bKqCgjhWZTCnoHQlgUpVgXPkzSYKRa1WIwiC0gmzVitNWHzphqkDjRcwWpNmKVEUU+vpQbzv6AB96UDZCWaUVkybPp0ZG21EpVIlzwvarRYAQRgy8A/t+h8QRWywMJw2pfYPfxCmbjyzvBcWylhKIAjIc0iLjMiEaFMGaq0JIZecLMsBqPdBXFFgDIP1DUov0ChCQhChSDN6B/oJOqYciCBFgTZloFbSEj1hGFKv16lWq6U2Lwjo6+sjSRIAGo0GlTimGoMD8B5xDqqlntD5kgppOv2gpxaRpSl5loHWhBXwBeAcmUDmgSxDaY33AmmK9Yp2yZ7s6NLApykqDAjDN4KyDQYjXXTRRRdddNFFF138z8abPlhLkoRZs2bhEaxzhFGEBwITY3PhLZtuRpEXOGuJoog8TXHWgjiqtQjrMsJY4YoUfA0TjxNVm2iZhqgc51OsT8gyjeQbU+mdwDqHcxEWCwjOt8uASSCMFGlhCUKAgAKPoCDswxMSx4bCghIPNu+cK6AhKzbokIRAgZT2f+Xn/13ophV468saX94CHlzpEBhVyoDDWzfpyjgZwGqN7ThPWmtx1tLTU8cVBXmn9lqe5yhVagG9c0inNl2Rl0FSFMUYpan11MnzDO8siP9PznLycgBFmgreQ1GUv3RpBlIGakZ7ssyCCgBD1YDyvvywFbIUenoVNQVxFNLuHFYkAGooD94KZA5FiiItzybQCGDxpSEJBhUZCmcn9XdQatWCICBNU4wxk9m1MAzLNo0iBIWXTnNrUFoAR+EEhVDYoryuJCHPLVIx+Fgh7YJWCGMBYCFWEGtwPSHO5lQLh6/2lJb9BpQI3toyGDQBdLSCG+q4aaVKniRv6qR3F1100UUXXXTRRRf/xXjTB2uVahXboa9pY2h2TCsa4y2CMAABhcEEAd45okqMMQoRS561UcoDFm0EYzzO9gJ1PBl5BkWhMKYK2lOpWTR9BEGEMUJQiRCxGF1mRtCaJGuBVjgEQoVHk+OxTpeaLoEooMw0GVPGD50IJw51mWXrZKHUZOQj/2FZroDAaEINFDkgpRYvCCAwKKUIg5BAG4QyKInrPeAcWsrsoAmCSft3YwzOWpxzBMaAUhR5jjamzP5YV2Z3nEeZAKXL4DSOorI2W1HSGumElrxx6p3MnyIMS13aBmKtCUOwBTootWfVSgBo0AE2T4njCPDYVpMwLjNvRdFEa8EBosESgKmRJwVGaShA47CkoAPCIMQ7wSMQ6E5bC2EYoJTCWosxBq01WZZNBmpBEBDH8WTgGscxSunSeDOAIkuxzkKRExqF0YqiKACFqVZROiCjwAFKR7QAGwFeTwa1LQRrPNUwQFcitNHEQWkqo7VGKdBhCIVFUGj1D+FZN7nWRRdddNFFF1108T8eb/pgDSDLMhSKVrtFvV4nz3MGppR0tImxJkFoaDfbmE6h5yLPUaYMaMw/FBVWWhGG5SVba4njiCiKysCo8z4pWYJlFsWXthgeDx2qZU+1h9AYjFJQgMNiMARBiACtRkkdzAtAKUr7kM6BecMC3jr5h2DtP8J5JjMtBEEZRMGkS6Dr2Fx6pKSGdrJiaIMOyoDEOUfQoddlaUa1p4cojksDC++JKxWKNMPlBTrsBHZGg/dYWx5fxFPYgkr0vzG66LgaBqZzfRsiNqMhCDD8Iw0SsBatNc3GePm5arUso2ehElbK9u7AaIX3jnpP2CljoDvXk7IhKpLOT6dBaLVbeC8opTpulEJRFBhjCMMQ7z1pmpJlGbVajXxD23WOkTsIK5Wy7cKy/lnhPVEUsSGi0hrMhuHjhWbROUQclfo2oKAg9HGnifwkndU5V+ow/5PEWWmu2XWC7KKLLrrooosuuugCzNe//vWv/58+CaBcnouUxhWu1F4hmsKD1iE5EMchgiIgQXypCdOVYZROCOKUsXGoVGugQwpfIMbgyPFSRXSIFA7vy8ySOI0xuhNDKbz14A0iDiWgPGgTgFLkuoLKykzRqNLU2y2MePJKQt1WqBSettdorQk0RCZBeU2R9tATjRHaCZCZGBmlbhxFVkOJJdCaDCH0BvKcLDCoTBHYHtqRQluhbhXNuBcfTSG0GZDibQZBnUwN40kR30MQhvhC0JUWzgtahUzYidIyX0NoUmzWoKlrVGUCbMJEUKNGC20ciYoRLOJaiK7ilUcbT5FFKJ2hdUaRVsgSQYUNbBGjNHjlUCbEWg/OEhuNcTkmrJKkJe3RphnVQOMLSxDWKIixQUCPb4H3JKaHMTRSgWrWJFABoXWMmwCXNamQok0VK5bCODQxsa6jlOnozww9Ilifg/GEJkKJQbkNnUsIgnDSrCazOToMMWFA7hwqDEltQWDGCIs6QQE6NORWsBhiFZU0TF8QhAVoISgqxIHCNlsE1T56C+jT4LXB+ITA5lQIymBTl66fYnMi42k1fWn8ErXJkx6CKML6tYTUwYJnAmN6yHJHoIVCwCqFag1hg4BxF1DNhkAVNFWFyLXA5Vgd4r0izYpOeQmPCTRZkqH0hmLbDu8LlPIUeYs8a+MJUVohKKRDd92g9VNAq9kgikNskaONhkLIRGgjxLlCHAwHnlpLILXkURtjS/FfpgEcSgqUD/CSoHSKzWOEBFQbpIL34EjJc9BGo6VVjnGBlp0Ar5HCoINhKDy4iEI3yAUyFRD5CfApYiukbi2hcWRZjHNgrYAaR4nC5wFKJVgBr8ryELYo6c7iLUqBs5ZGs0mlUiH3Qjsr8Ci8TTBKwOUoyg0NKzBhNRhInRAph3cFWpqkPkSUJitylAeUKunHziG+rB9pbYFWoJSQZylGW9pY2j4lbgh5rPEKJsQTOyHPcsYCD+IJC0eiDNblBDpDMQrSQGyN1CsKB1YXKAVpnqKLcLJsRJH78tqdJ8nS0uhGCV55HA4nBaIcmUuR3GK0whYFCkjTlDAISbMUrQ0iMNFsoY0pdbJSjjnrHV5rcmvBC9pC2k4JTJkNT62lCAzOCwEK69xkKZAsSQjCAO88SumSdmw0TpWaUnHSYQqXdG7xpamQQnX2QMpNFZFy06vcPxJQbXwelXO8HkWc4LMQUcP43FO0DEHsQVKyfIRA1QGwsh7rayRZjgkNXsawvo3Pqmhd4H0bLZbEeTIdELomGdBWhri9EmyTtq8Sagt5SjuICCUD5cnEAGPodBltMw0p1mHM64zlUxBJCKRBIlWsgkBKrba1BV7KTSTry+0tv2GTzRdoI+RpC22iybGstcY5h/d+cvNqA/NiwwaReIfC4bzgvUNpQ+FKpgNKTSb8FQLiyie3+r9iz7eLLrro4v9avGlm2TcIdqq0GuzYDUamrC9ggBCPFAnYFA+0UwhMnTT3WDT9/XWUKh/MRisiExBpQ6hKJ8IgDCiKcgWvlUJJ+a9RYDq29GEY4EUIohDfboG1BEAUB+RtV+qJwgCyTvEtpcrsUaSx3iJkIHVMIMT1cbADaDsDp9YRyCB5qw66hSIC1OTDMktL5wkvQKDwnWvAedaPDlNIQRiGmDAkqMRYC0HnJ45K2/8szZGioMgKrIXeai/OO5x3oDVBpVImppyHKCzrlfkN7VFmGwNTLr7CwODEEUYQmIDMZgQB1GqawhWEHU+RwhYopQmjmCiOydIMpTRFUVCtVlFK0dNTw4tQrUS0k4wg0BhbQDwIYR8uzxmIQOVA1IdzGh1EVAWioALeUFiP7zh/bqAxbliAJEnSoY2WdFhtDMoovDiKPMNLuTDVRpPlGZUoLs1B0oxQG4aH1lEJQrx3aFOWeGs1M4IgJAzCyQ4aRzHO2zc6LEKtXsc7RxiXewxF4QmDEKU1jVYTUGhlSBM7+dne3ohqNcRoQ6WiyPOSGpkkpYTNGE2SdGii4iny8h6ZSoU8KUqarZQrUaUgaTTKouR5GWzEcYgJDHEc4AqPdeXCrNls0Wy2EVF4pwijHqq1PoyCtN3GqM646NBHgyDAeU+9t68sfh5EiCjQFlxBpDUEHRmi1xBmULFYVyEZH8ZnDURBlnuUDnCuQOuYsdGU8cYoxlTQqhcnkGY5IgFxXNbly7KMJIFWy1OJKthCd+i1Ui4ONXjxGN0pb5EXoEoKarWTBba5nXQ01cbgEUwIyugyOC2HV2deKBgbHUOhSNpt+vv7aTab5fFNiJeSBttqt1G6nGRMJ2CpRNBK/GTbmU4m3BhT6hSjiCTPSNIU51xJgzVlBjyMIpy1jI+NEcUxRVogKiA2NVRUodlsoVFEyqC1wSYZVaWh1QbvmWhDIZYyN2wm3UNDDZUQFA6Dp92aAF/2bYAg1KXramioVEqHVN+pAagnc8MBSVqmjL3zBGEZ1FdrNayzVCoVkjRBaUVvbx3nPcZ06qaIEAQBI6PDk6wFjKZS6xj2WIcx5bkapRgaGiYITGmI1G5TqVUpkqS8b75kRVhbBhQKCHRJTdaazj3RJGmKMuU9UJ2pWXz5KPG5I2/niBfS1gYqt6IoHMaACSKCOCTuNWRZihdHHFeZGC/n5Va7hTFQrUYlaUCZMlMflewDE5Ta00B3gkXrJl13EUp2hOo0fhiSZJRPNNs5V6lB+BYKAWX6odVPFEFgKig9gDEd/yjnOtflCIKAsPMyHd1rFEUEYVgGr87RbrcxpjzX0dHRyXEdx2WNSe89Y2NjtFqtciNBPN7a8rkYBGR5genQwLvooosuuvg/gzdNsPa/gwnAecejjz3KsqVLWbZkCS+/vJaXX17O3x79GytWr+SZZ54hSaXcme8EX+2kVeqOFAwNjTE+PkFPT7lY0KZDhywczy9aTJK0Jx+uQWDwXtDVKgSGDQmaqFbqw2i1ofJvaYHtVAgChdKaIoMsLXDe4iwdzVZQLvBMqR8LQnj6yedRSuHShEpvafc+NjpKe2gcDRRZAaFm5tSNCFVJ8WxNTADw0kuvATDSGuXhR57glZeW8uKLL7F69WoqtQjnIXMZYVBqtzYs7p0DopAVi15ABJojI0CZ2Ww2mqxfvx5toNVOMcqwalWT0bE2WZZNatHEe1pNIWmXdMRmY2KSnhnFMSuWL2fJkiVAaZmfJCnGaJqthFazRZJ2imkrIC8YWj9CK4FKx6DTeTeZpTRaIIoJA836ofX09faQJBlDQ+snqZ7ValnQWhkD3pO22517bAgrlUkTFq01cRzTarXoqfVQqVQoioIZ02eU3+sczz6zFBNAFEeTgX35WSbfA2/o8oqstN/fIOmLY4N1ljAIGewbwDpLYXPCKCAMO+6hnXhvZHyERYtWEIbluVarsH59glYahaLdTkAbonhDDT6PDjv9UWvQmuUr1lDt74cwJI7LGoMi5UI1SwuCUFOv10nTlHq9TqVa6eyol/crTRKstfT09JCmKQ8++CBr166dXNilaTp53RtMafKJCUxZvZ28Vf59krnZbKK1pjo4gK7VeOHF5RgDYh0mDEnThIHBQRSKhQv/SpIkGAO1WtQJEkttZhRF1GpQr2uSLMEExWSgsWHW0lrzytLlrB9tQxzz+rJlvPzCazz++N95/PG/ozWEIYwMl0HYa8vXdsZ8QZFnvPLyMl568SXarYRKpcLU6dNAQW9/H9aWBjWjoxPEoSIIFPWeOvWeno7YVLF+aB1xpUJaQJZnGA2NzvjEO1588SW8QLOVUO+pUatVS8ObDaUz2gkTY2MEUUT/QFkWI6xWMWgaaROKnP7OvLBs+TLyVouegX7WjK7Bhoo1S5awalWTKIwwdBrH2zLgC9iw9AAAIABJREFU2jCzd/rp1MGpSIewoFQ5R+ZZ2RGzLMc6S9ahBgul5hWgr6eP0Bh0J+AqdZslbdxai1KqQ92lk3Ur/95qNHDOMWVwatnm1mHbGSteXcr40AhBYAgCKDrnN316+b48y6h1rjmsVinSDG0gDA3Llq0AYKKR02pnWOtwTujrq6O1orev3umLb/CLy/EgmNBgbUHaThgbG0McjI2N8OLiJSxZMsRTTz/BsmUrcAXElSrOe1556cWOFhr66n2MjbZ59tmXWLJkVfk9nTG0YcMtb7cZHx8nTT0qjsjyDgU+inBDQxijWL9qFUMrV7Ahfp3MVXlPuVH5xn0rBJyATVNGxxOiAIaHR1izZi1RXCHLM7IOhbudJKWWu9Eox6t1VHp66OnpmSxbMjg4SBzHeO9pt9slTT4IGBgYoF6vl8+iokCH5WZTluVEHRp9mv07S+Muuuiiiy7++yBvEhQi4ryIeBGxeedlZf3aYREvMjHRkA8deZC8bYctZa9tZ8h2Ox4qe+93rOw8b2c5+/yz5KD37id/e/g5KQqRPBVptSfESyHeNUSsiLjye7LMSmOiJSIirVZbRESOPfY4ueOOu6TVSiRNcmm30/LNuRXJrUykmUhLRHKR9VKIZIlI2pYJNyaSOxEn0hSRRKy4oiXiRLxNRGRMkvHy4pwfkaJdHsMWLbn7jvtl7z33l5HWuPz0JxfJrb/9gzRE5KKLLpdLLvixrLVW0kJEGoUkItIWkTxLRaQteTIiJ518pozJGnlm2aMyZ6e5Mm/P/eSgdx4m2209U0464SQRKzLhWtKyibTztohviG8PyZgVWfn8o3Lk/nvI7+55VMROiBRj8tETT5Ld5r1N3jZ3Wznry+eIk0Luvv922XXXA2SXuXNl7rytZflrLWlMiHzpK5+VbbZ5m+yxxwGy89xdZO8950m7MS5iczl1wcmy7z57y9y5c+Wyyy4T6dzXJMtl4UMPyw477SoLH3pYivaYrB6ekLl77if77befzNp4htx+yx8lEZFMRFppIcnwarnuul/KK0uWyvrRcfnZlVfJt777PdnQTdrttjjnypfNxReZdBpfvHfSShNxIpIVuXgRybJssr/lWSbNiYaIFynSTMSLvPTSA7L7rvvL4udWiheRtEikbRuSZCLOe/HixMuwiIyWHdaXZ+utF5uJJA0neeZEpJA0a4qXVKzPxIkXJyLWWRmfWC8bLqCdrJYdtttLRoetpPnrkqfl6ed29I2B4a00k0RSEZF8TDKXSkNExI7J0CtPyTf/9aciri35+DpptBNxrhARJ9bmkuepiHhptVr/5ton+/cG2FSKpCEPL7xfdp+7i9x1110ye/Zsufnmm8V3ho4VkeGJlhQiInZcGs2WZF5E/IQUzddlXS4i7WUidrWkIpI1hiSdWCdHHHuK3PmXv4mIFZtlIt7Kyy8tki1mbyknnHCCiDjxIjIy1ii/x3eGqm1IuylSZCKFZGKtlSIREVkv4lrim14SOyo//umlcs+jT4nk4/KFEz8qe2wzX7bfZqbM331rOeAdh8nwaCbOi7yy4jn51Gc+I9aKOEnl5aWvyo5z58kHPnysNNuJJEkiIk7azYYUeSpjY2Oy++67y6vLXpNCRFIvMjExKkXWFPGZ/PG318n8+bvLLrvNlV32PkDO+/6F0rAizmYiYmXd0mdk7/32l2XLV4rr9FcnIkPr15dTnO1MSt5JnrZFbC5pc0KyJJEJsdISkZsu/5UseW2FNJNMfvzzy+WRu+4WKawcevRBctfdt8rHDzxALrjkFlmXtqUpiWTZasmy1ZPzXdoWsZJKmo6UM0guIuKk1ZyQRmO8c0ZevIgkWSqu85t2nks7L2TVuiEpRKTIE8mSlrjO+Go0Gm90TxFpJeVn22lW3ruskJM+eYKsXbtWMnHSyjt9z4p8+rhPyblnniN5Oxcn5bQ6keZSFF6SJBXxXsR7SSYmRLyTX1x5lVjrZXysIcd/8jOSuM5liEhR2Mn+nCb5G+fkvDg3eSgRERleOSRiRf74m1/JB9/zcUnHRFaufFb2mr+n7Ljd3rLlnI1k/3e9Q6646nqxYmX98ArZZefN5OnHF0vS9NLOVsvZX7tA9tz7nfLo48+LlwlJiiGxqYjLyxn64YV3yfd/9CNpi0gytlbaWUteT0SkuUIkXys77zZf3rnX7rLP23aR8//1isl5IJNCsiwXSUXa0pI8SUUSkZbkktpcxIqkIrI+yeQXV/1U/uW7F4iILftR55U5J9aX97L8TS7lTPofYa2VZrMpIiKtVkvyvGy7LMvK+cNm0hgfEy9e8sKKFZHUlkfdMPeKeBFflK8uuuiiiy7+SxH8v4dz/z34z43KhSlTBkjbKbVahetvugmKnAfvvYVv//wZfvnLH1LpyRkZXcftt9/G4hdf5MXFLzBtygzetvsW1KpVGs0mjz70MEteXcKmW23BIYe8G20q5FmZdbJ5wdQpgyx59RVWrliOKMUhhxzCVD2Nlx95hFazyS7vfheuKHj+0ecJ58xgarXOileX8PvHH2CPbeYRGUOzp4/5O7wVpQKsa/H3x55k++13oF5PaLbbPPHE8+y3354UheOpJxcxZ5stWXDyp1m5fAX33HMvU6YM0uiJQWBiYoJHH36YlS+8zGH77s/AW99S0ooUtFutksLiLAGG3t46lTjmmmt+waYbbURcafOTn1zDgpP/me9cdDYm0MRhDNJGVSqsWrGan3zjm4RhyNQpdXyScPaXzyKKernjz39m9Wsv88dbFvLKq0s5++yz+cmPr2bnubM4+dSPcfrpp3PDDZdz1plncdYXB/DO8C/f/xrvPuAAojjmZz//OXPmbM0F3/oWeWG58847SzfGIODpp5/hsssuA4T+/n6M8iw47Uzette+/MtXT+epRxZyzjlnU5u1I7ttP5tKHGByeObxv7P89RHm7rIzRWFpNZvcedfdrFq5gs1mzWK//fZDa82SV19h4QMPkBcF226zDfP3ejuJtfzhT3/k4IMOpr+vj0azyd13381RR76P8ZFRnnv+OZYtWco79t+flxYvZtMtq9TrdYaGVrHwirsYGOzlwIP2pxKVO/ZJmlKraB557GGqbMETz91Hu9Xk4IPfx18X/o08z3nHO/dn6zmbYYxh0QuLeOhvj9LfN4Xttt2Zt751Mx544AG233YeL7zwLANTHb29dbQqTWIeuPdOoijiwIPexl/+8gCLFi0ibU1wzEePp9o/lTjW3HvvX3lp5Vr22byXIAiIohif54T1OuJD8rzNmjVrWLhwId7DDjvswK67vo0sy7j55ltYt249m222GYcccjBZmlKpVfFFzhOPP8F5Xz+XY4/9CDvusD2XX3YZ2++4Iw89/AiDU6Ywe4staLWa3P7nO/nIofNJEs3Nt95Dc+hJNtl4Y3Y7+NNQBZ+M89vbF9Fc/xS777EHm87anEqlgi1S2i3LyNgarrz6YmZvviMnnHACzk2w/DXH888/y/LXn+WIwz7AzJkzWb/mdSYmDEFguP+ROzjioKOYOXV6RycDGIhMxPDweqrVKihNGISc87VzOOwD81Ao7vvLYg444AAuueRSdt5tYyq1GmkOryx9josu+hkXXnQh8/fYDaMo9aNpSrWnxu9/9zuuv+Gm0nxIadppQRgYarVayavznltvuZUffP/7vHXb7clVRK1WResyUx8oxbSNNuKTx3+c6dOmsXr16/zp5psp8oxtt92W+fPnU61UkI4JDiL8/e9/Z9GiRaAj3nHkYfT3DfD840+yxjbZZttt2H3ubuy66eZQFGy5+ebU44itt9yCzFriOMa5gliXFO4HH3iQ3HmWLl3KRrN6OfjAdwKe5x5/luq0gHvuuZcD330g69Ypbrvtz4RRzKGHHsamszZlotHm0Ucf5eWXX2b77XekVq0zUA95cclLPPPMM7SaTQ459HCiKCJJU55ftIhXlyyh0Wgxd+6ubL/D9txz8608+8yz3H333Xzg2A8TGEOWZkQq4MMf/hCbbPwWXl26lEIcy0fWs2bpMvbYdS4777wjWZISV2KiaoVbb76Zu+68i6kzNmLeHnsQBCH33nMfL770KlN6At575JH09fWhjeYvf/kLr7zyKttvvz1z5+5KX18v4nwn8ydMmTa1dOqNYipxpUNfhAMPfDfnfu0buGCMpUvWcN55P2Lhw3fyvW99g2qlSpKmVKqK87/3Q5zr47LLLmLrrd9K4RqlC28AS5Ys59fXXcXi5xcxb993Md7ImdnXS6MI6KkATc/4ypUc99HjOOXjH8AEIa24H3zHGMlolHY8cf/9qM2nsurFJRyxz4GsaU/wt7sewI5n7LjPPHbcflumT59GkuYUecbwWIM/3XIrjUaDXXfZhbe//e04W9AcH+Xee+6msDnbbrcLu+yyC1mW8fDDD/Pyyy+zxRZbcNBBB5GmKc1mkzvuuIOxsTF22GEH3r7XfCqVmKeffprnXljMRjM3Zo9589lo5oz/rqVAF1100UUX/w5vThqkeuOljCaOArR4aDchDnHiiSt1qjUYayYYE5EkKRdeeBHOab77ne/zxS+cTp4m/PbG6/nKl7/CFpvP5tLLfspvf/MHjNGl9X0YEoQhtUqF3//udwwODrBs2XLOP//boAJ+eeWV/PSSS4g7WrFfXvMLXluyjJ9873t88hMfp1qvcdZZZ3Lc8cezZNkyMqcQKSmO995zPyNDBcq0efzJB7j84uvwJDjf4KYbbmZwoJ8f/+SHvLZiOc1mk8WLX+TFl16kVqtxxx13cM211zIyPMwXPvdPLFm2hCgoaWK1SoXG+DhxHGMwOFeKx3t6qvTUqwRBwDEf+CDPPPssE80JIhPSTJplu1rLr669iW9961vstONO5FnGxOgI9913H8cccwwfOfYjXH311Rx33HFsMXsLbrnlFvbeZydWrVrDyy+/zEEHHUSSQH9/P9VqndfXrGHKlCnst+++mCDg5ptvJssyjjrqKE499VT22WcfgiAgLyzXXHMNl112GVtssSVr1qwhbzd47qWlfObUz1PvqbH/3vPZeNoAd9z7AH6DoiRtsGzJEp54+nmWL19OpVLhj3/8IzfccAMbb/IWLr744klKz4KTFzA4OEhoDJ/73Oe48hdX4fD8y/e/TztJaLSajE+M84Mf/ICJ8XHed+SRfP1r56IFjv3gMZx7ztcIw4BVq1ZxzjnfZGBgkLvuuYvf/PY3hOEGamF5XpdecilnnPFlojDghRde4JgPfpDBwemIaL7/vR+gUFx04UWccuqp1Ou9/OraaznttC8yPt7gi1/8AqeecgrnnHPeZBkK5+EX11zNhRdexrx5e3PDTTeyYMECZs6cidaKz33un+iphdxz881cfsklTN9oFpddeimf//xp/2D/XxAEhhUrlnH4YQfTbjVZtmwpn/rUJ3n6mae46qqruO6669huux249trr+fV1N1E4PelU+vSTT5AmbVatWMHg4ADf/tYFvL5mLS+99BKnf+EMxhsJP73iakbHG+hQc9WlP+PmP97JDttvxQ9/+G0uufh6SMf5yAfewz33/p0tt9ycU089mZtvuZ0gjAjCgDjsJwgMDyy8A19UWL1qNY8+cT/vOfyDXHzR1TRboxx88OH88Y+3snjxYo455liOO+6T/P53v6dSrXfmBlV6GgSKdtYmiqKSmuo9cRiS5QkmitBRyLvetQ+zZm3Ggw8+SDWu0k4S/nznX/jghz/Exz/xMXbZZReijguq77ijivMcccR7uOqqqzqaS02tEhIGZZH1wpZmJI8/8TinnXYaRx11FN+84NsMj4yX8lVTGg1NTEzw08svR5xw3te/QbVaZcut3sr5F5zPdddfRxhFJGmGMQEXX3QxX/vqVxkbHuH5F17gfUcdzZJlyxgeGSlpqa+v4YknHufFRYvAGLT3REGATVPCShVBg9EEQUQUxvzw+z/g8st+zvRpM7n6qiu4+qorwDu++93v8JGPHMOf/3wLlTjkxBM+xezNZzE+NsbZZ5/NypWr+fJZ/8wZX/wSG8/clAULPsvnT/sCq1au4uSTT+L3f/g9y15bzn777cfIyAhrh9bx+dM/z+LFL7LNttty3je/SZrlLFq0iDiOWLx4MXmeo3WpmVLKcPfd93Dbbbfz8EMPc/LJp3DRRRezbmg9Z515FqtWrSauxAwPDaGNYemrS1i5aiXLli2jv3+AJ598kt/9/k/MmTOH+++7l1//6pcYY7jkkku59tfXoU3Ahz9yLHfeeTdQUt2V7gjXjILMl7pT50jbJaUziuNSp6oDNt38LXzo2I/w3KJFtNOEMAwpipxTFnyBPM/4+tfPYccdt0OpkNAEVIIKCGy51RacffbZXHLJJeSFo783QvLSTKjwQFzhnj/fzk2/+Q3vPOCdHPzuA1mxYjVo1ZlTNLbV5otfPI0Fp/4TV/3s56xa9jIfP/4EnnnmWe67/24WLPgs9z3wN7wvnW3DKOa0005jYmKCGTNmcPKCU7jxxhtZu2Yt73//0YyOjrDklVc54YQTWLFiBVdffTWXXHIJm2yyCTfeeCM33HADlUqFL3zhC7RaLarVKmeffTa//e3v+NH3f8CXzjyTwYEBvnr22Zz46U8zMjz23/f876KLLrro4t/gTZNZA/4NX3/D//M8J4qj0h6+pwecJ/BQ5KUaPgxiNEKr1eKb3/4yRxx2ENvOmcO5555MmiU88ugjPPjggwSVkDwy3PDr63jPe99LZALAUyQJUaD52HEf5aijjuY9Rx7NsccdjzKKWiWmEoVl8WIx1CoV2nmbW265lRNP/DTvPeZjvGffIznw3Qcy3mwRBZr1a9cyY2adjTbaiAcffJDZWx/Awr/+lZWrVtFutxkeHmazzTdneGSELMvYZ599uO8PtzFv3jz2P/YYbr/2N8yZM4fzLvwJtbblnVdeQ7VSoZk1mRbXgH/QDpHjnCUIw0kTCm8tcbWKAgYGBxCEaqUKZORJwsjIMFM2fQt5kaNMqTvp7e3jS2eeyTFHHsp9d97Cscd+hD/d/Fsq1ZiigE996lM459ltt92o1UojmCTJ+fJZZ3Hq5z5OpVZjbGQE8Z5bb7uNU045lXvvu59LL72Ur3zlK7y2YiVbzJ5NHMesH17PwMBAmUn1ntdee423bb4TqqfOdttuR29/P8p0OsLgIIcdeSSbbbs7+8zbhZ/+7Ap23XVX/vVHP6K3t87iRc/zwgsvICLsu9++HP3+91PkOXvvszeX/PznBHHEeGOCJE3ZeObGjK4fxjrHs88+S0+txnXXXcfUKVN59aWXufe+e1FKUa1UueKKK5i2cS/TZgxw8aU/5pPHnzRp0gEwZeoU9pp7IB/+yHuYv+ceDAxcz3uPPATvYPX5KxFg+fLlvO99R3H0Ue9n/vx9OOkzp2Gdp6enzsyZM7nl1j/STJfj3JU89+xz3HXX3dx+20IaTcsLLyzi97//PdtsMwfEsWLtV2m2HVdffRVHvf9jvOfQffnIQTvzuU98oqyNp1RZYkBg2auvsP1223LSyZ+hyC2PPPwQWZrSarX45Cc/xX77712at1RrKBPiKLVfn16wgBUrlnPEUe/vOPCVmxkf+tCH+fFPLubjH/84YRhxw43XA+t59tln+OUNN2JkBbfddhsLzrmfJx59lNHRUb552eeYs7ljo5kzec/x5yFSAAWGmE036ePMsz/FVT/KOOKIPfnwp/Zl5x1O5OqrvoLuXcXryx3fuuB7fOcbn0UpxYUXXsjO87YkkBA8+DxHBz1IItR6apNlGSgK+vv7y/dZC0FAnntmbTYLrTWC8Pxzz/H0ExcQhSHr16+nt6csq2C0xmgNCMpoAqWYaDTLkiEdY4W8ABMKUWBYumQJtVqN9x79ATbZbAu+/cNL+Ebrm1x80Y+pdrR8Wms0ijxNaTUbHH7E4QwODvL2fd/OwoULEaC3t07WThhevx5fWE456WTGrGPogm+w9ZZbsc87D2Db/XZnu22344prrqASxdBqlUGj82gUE61m6ZKaJvRVO8Omf4CfXnElOoKo3uY7F5zPcR/7GE6EG66/jtmzZ/PQQ3/jsEMP4aB3H8gR7zmSb5z3TcaGR1m2dBkHv/tgDjn43fTU+lixYgV/ffCvbPXWt3LRhRdRqVRY+NBDXH/TjRx99NHsMW8+533jPLLCMnfuXOJKhS+d8SUee+wxTjnllDdKfnRMYSYmxtlqq7dirWX33XfnnO9+C5UXXH/NLxkaGmLGtKlMnT4dvOeznz+N8UaTBScvAGCzzWbx3e98l76+iD122JzLL/8Zw0Nr+dW1v+Lqq69mznbbc8CBB3LD9b+m3U7oqZX3N0+bxPEAxBqvNIKi1gemHYLSNFpQ69MYHbLpppsxMDgFUIyNjXHWWV+m3Wrx9ndtRRBAmnoqFU3ucrTWhJ0yJc45Ws0mYRhQOKhGEVDWbSQteOyxx5g/fx7HH3UIF198Mdf88kZ2/cZpnWdeiAodpjKKTeZw5W9/yk2Xfx2XTeGrX/0qvVXLmV+7mMsvvYJPf/Qw4o4ueMaMGZz++c8DsNdee/Gra65hoL+P2bO34KSTTsZoWPjQY+R5TqPR4DOf+QyHH344b3nLW2g2m6xevZqZM2fyyU9+kiAIOOqoo/jRD74H4onjmCOPPJJ937E/F11yWem4CbhOsBiHBpyd1DJ20UUXXXTxX4c3/UwbhAGl67VGFR0HPEynIBr01SqMN5pMmzaVTTaZSRjC1GlTaKdtCpszPDLC+RdcgHOOcevo6+8nSVN0JSRUZRHlPEuZM2drbFGgo5Cdd9mF4dEJlFa0kzZZnlGTCuvWryvtum3BQQcdhMdTr/ew1ZZvZWJ8Auc9g1P6KHLFnnvtwZfOPIu377szDz7wHAcfth8jQwU33ng7O+6wE0XumTJlOoE2OOcYHh4m1Iak3eaAAw6gYgK0EaZPn866oSE23mQToHTtq1araK2JiBER2u02cSWkyEur9rVrV5PnOaOjY2w0OA3xnsAXHHX0Uex+yEe55be/Zc2aNTz00MPsfMR8ms0G/3z++XzwvYfwTwtO4L1Hf4IXX3yRqVPrbLP1FG695WauveFyFixYwJ/+dBMD0wvuvOM+RkdHmT9/PiKevr4+RkdH+fI/f4VDDz2Uo9//ARYsWMDixYs5/YtncOyxH+WG669Ha82tt9zClPcfQsV4Zr9leukC6uBvf3+Kd26zL6GCohACDEk7oRZ1zBNE2He//Sbd++r1OiLC66+/ziYbbwIdB7Ntt92Ovr4+Xl+1mr6+PsIwwHlHkiTU63XGxsbYcaedmLrRRvi84LDDD+PBhx4kTVP6+vuoVqv09laZOnWQVrtFloFWhijWOLFkaca06f1oYzBGM23aNLwva94ppUjTlA99+MPc/ufb+NG//oiXX15Gq9kmDEKsLfjauediytiAVrPJpZddxrTp02i3hXo9oNVqc8kllzA4OIjyBVmasnTpElavXs28eXuUexnO8bGPfYz7Xy2dIPGC146t52zDAe/Yn3O/eg7OK9atHaKnp4eDDvpf7J13nFXVufe/u54yc84wQxmaoCggAZQmimIFC0nUGFOMsUSNJbHmRqNGr5qmpmo00eg1pgcjiV3sHUGi0kJH0KC0Yfqpuz7vH3vW5gyae03emxs0+8eHz9mzy9prPc+znrbWXusoHnjgIX7/hzn069ufjx97HNm6aIVF3TBxHTdakTEULDtF1XGolEoYusaPb76Z/7jsa5x44olYBgTtRVrb2rjmuh/RaL9NW3s72bqDKXRWcKtCc3MWpMSwocMZs/dIXNfF81xMC7zQR9cMdF1DQo1t21r4+pdPIloDRuOSr1zC8y88j+d5HHjggUyaNBbRXMJAou007DSvvLiAqVMPJwijxEU2mwXTpFAqEhg+ZaeK4RmI1LFi+QrGfmQsXuAxYMAArvvPH5DOFvjWt7/HflMOol9TI0bPVLmgZwN1iFbVi2QuWqG15zShwLDhu/Pggw9S36cvXgh7jB7L6V84i3K5SENDlkJ3d7RKn2VhGgaf//wp3HDjjbS2tjJg4ABmHTMLPwhwPYdUyua007/AqBF78rXLvkZBg49Mmci2tm1UyiXK5TK6ES1mESBQV0/Qs4CGphvk6usgNMhn6oFuysUCI/fck0BCcHUmT5pCa0cHlarLkGHDGTJkKJqm093VzZ8XLuSHP/gh7Z3dVCsu2WyGr1xyCUuWLOGCL1/E7iP2ZPCggbR3dLFp0yZ++KMfUigUmbDvvnR3R/ox3xDtd2mZJtm6OoIgQHSdzs5oJCaUEF3TCcMA0DAMtYqrxdChQ8naFl4Q0DxgAK7j9izoEUQLQPUsMa8bUCqVaR44kHzepuoIffpEo7RVp4Jhmvz0Zz+jrj6qy8Dm/tgpm0o5mjK+du0ahg8dS74hWrkVLZL7QjFarbW+DjwJCER4Y90bbHpnEynbJt+QZ8bhM/nyl8/jBz+5nBtu+BFf/erF+D6EgWDaBgj4YaR3TCvaGsEyIChXCdP10WK7psE111xDMHAcGRx+sd8v+fzF1+FWq9F2GpaFpgc0NGT5/BkXk60L2bT5LVq2uXz3uz/ClhZa22wGDR5M4AdUq1XCMGTD+g1c/Z/XICK4rsvQIYPZd999eWPNSr7zne9QKRUpFAoUi0U+9rGPcd999/Hb3/6WYcOGMXPmTFKpFIsXL+a73/0uruvS3t7OuLFjOPrImQwcPJRLLrmEXEMfhu8+Aq1niwsJAtLpFKHvYZgmnuNipXd5NyJBggQJPtDYZbSsmvkY/wGgaQSi47t+lLHWrWgZM9PGcxzU/suB79HR3ka2Lo3jgmWbtLRup2/fvgwaMphLvvIf9OmbZ3NbBy8+/zy5fJag6oAIVipFuVRk8zvvMHX/aYTA6tVryGbrGLrbELa1bAWE0HVZv349R2ganuuz6PXXOWjk7ryzeRNbNm+yn/ALAAAgAElEQVTBczxMQ7AMA0KbPfccgeu1cebpXyGX68fRsw7gU588k3K5xLxXTsWrpujuLuN6LqlUmn79+mMbJrqms3nz5mjp/pSFbdvYloWtWQS+SzqbhTCko6MDDcjl8zQ1NqJrOpatE3gBjzz0MAcccAAN+TyGbuBLSLGri89+9rO06/0odm2hs7OT7PZ2+g/fnXQ6Tcu2FvxAelZwa2TN2jX8110/Zf6Lr1OfT3HQQdP53S/mUamENBk6d955JyeffDL5fAMSCo7rctzxx1MsFDAsk9bWdjRNo3///nz6058m8H06Ojspl8u0tGzHztSRTxk88qd7mXTFf7BmzZu0FyvsP3EfdMC0NPBTGLpOU58cAmSyWQzDoFp1aMjncV033kNo27ZtuJUKdibDpo0b6ejoIJ/Po0m0Ep2macydO5dSsYiIsGTJ4nhpvGefe45SuYxlWTiOE8ukbduRs6yDbUUOp+d5DGgeQMrOUih0YZoGmZ4tEaolN9p0Owi44vLLOf3ML3Dyyafx9sYtfHTWiRi6Rv/+A+jb1ESh4CC6UF9fz6233MJtd13O+Recz69+dRuZTJrLrv5GFIx6VR564hny+TyDBg3mL8sWM3T0GDAMXn3tNcqp3UDX8cpFjHw9P73lVkqlEjff+hOKhRIvvvAC5VKJYqnCOeeey6DBA3ll4WtcdfW17D/tYaKl8AN0TSedrSMIogx6Q59GMpk0pWKRc889mxM+eSLzX57HuWd/kb75PowcPZrrvvEfeB0byTbkeXh+O3lvIaFv0NraTcMQi4Z8I4te+zN9Gi6Olhw3wNJtLMvG97vQzRDDsHjmuaf52MfPobNc4Jln5mPbNul0mkmTJmEY0O2UqbdyVEqQ1Rxu++lPOWDaDNCjzejb29th9ECsVCqa1lwXTZm8749PAsK0adPQdZ1hQ3djn3EjMC2HCfvuw8knn8p9f7yXPvkoyLB6RsVCPySXy0WrWmZS0cqJAYghSBhy7x9mM3v2bP704MOkU1k2vrMl2udQolnluXyOUls3nuPguS4a8IPvfQ/H8yiUC9x660/Yb+oU8DzSqTQvPv88I4YN49SzzqLgOBx2wkfZb9p+SOCTy0crI2q6HgVpmoamG4COYdmIoWEagidVfLdKNpuhs6MDsycgWb5iBcN33wN0nVyfPtjpNOXuAgP6D2DChIlceeXXQTd56YWXGDFiBA8/PJfjjz+ePS4ezgsvzOeb3/oWp552AocediiXXHwJumHy5NPP0KdPH4qlMvX19VQcB8dxqc/lKJXL9O0/gJRtU6lEK5u6nkPKsAgqHql0Cl3TsFM2KTdFAD0BsoZlW+i6jletouspAt8nn48CsEqlitOzMmkqpWFLmrq6DJ7r0tHRzmWXfpVhw4fz9qatLF+2pEdfZAh9n2efeopDDssyfPhwXM+jWC5RKsHYMeP4dfFhIFr9cvu2Lm6++WaOOPxwUqkUbW1tfPKEE8hm6rjwwgs45eSvsWLFcn71q7upulXK1TJ96xswzWiWQFdnF7quR7rbNNF7dnmhu8pZZ53Fxd/7FftP3BvCED8IsNM2EgQ4fs9WKaHL1P0OIgzbcNwSo0ZN4Kqvn0/GDlm4tIM31r9BXdbDtm0Mw2DMR8bw7W99k2LPaOuLL7zAlVdcSXP/Rm7+8c1UikWem3EM/fv3Z+XKlVxxxRXU1dXx9NNPc9dddzFixAimTZvGNddcE+u8B+//E089+SQT9p3A+RdeyNp16znxU59h3PjxTJ40kWw6Gq3UdR3xPayU/f9n+BMkSJAgwf+IXeabNRV4AXHkFmLgAZptRks8+xqQwnVgUL/Gns1XXVKWRn2dSTZjYhg+9bk0g4cM5I231tFv0EB+eMstrNuwkR/e/FNefPElIFqaHQ38cpGBA/rzyMMPsWH9OuYveI32jk6yWYPBw4ayat1q/rJqOWecdQYtrdvp168fxx57LNdeex3Pz3ueC790AYboWJqJBnT0LIWvG3DMrGPw/YBjjjmGIUOiRUJGjBhBLpenZXsLDfk8YRBSKBSYM2cOL8yfhx8GDBo0KGKM57O9tTXaK40gnoYnYUj//v0B2N7SwrZtLdx334MsX7aGq6++mkceeYSvXnopGSuDG7hYhkWuXz9O++LZfPGsz3HS2V9k9OjRHHvssVAp8/nPf55f/uqXLFu6hGuvvZYVK1ay//77o+s65513OStXrOe8884j2xMsBX7AO++8w+GHH04Q+NG+ZprG+PHjeeLJJ9m6eQtz5swhl8sxaNAgLr7oQi648HzOPOMM+vXtx+mnn07/oXvx2aMP5MWHfsf8ha9y1fd+Sqr/7hwxZW90NwrES9QR6hY3X38tr7++mHK5zDvvvBNNMdM1MpkMXV1dHH300bzwwgu89dZbLFywgNNPP53dBg+hoT6H77q8sXYtLzz3HHMfeRQNmLzfFNB1Tjv9NF566UV+/stf0Ni/H5VKhcbGRvr3jxxk1/XIZjL0rNYffXtjGrzzzjsUi53kcjnSaZtypQQaZOtTFAoF0pkMmWyWp556mtWr1nD66V+gvi7HG+vfjJeEz+VTEEJ7ezt1dTYnfeZzvPTiS7z00iKGDRvOiSeeyKpVq1i5ahW//93vGTqkmTPOOIPHHn+WrdsrPDZnDo8++ii5XM/IRn09lUqV0Icli5axduVarr7qGmwrzaqVa3jttde4+xd3sWTZX3jlzwvp09RAJqOTyRhY6Xo0O0NnsYqVzmJZFps3b6ZUKvHQgw+w1x7DufqKyzj0wKlc/81rQGzsuiw/vv1OyuUMTz32Z+57+JeMG30Qw4fsw29+cwttb29nxvSZDG5uoH17C7ZZDwb4YT2F9j50O0sQaeKay3/BvIWzufTr17F6RSs3fvcbfPzYI3F6Mv0A2VQWLwipqwPNStG3X18ef/hxlq9azrPPPsO+++4LErBxyybmz3+V5557hp///C5uu+12PnrMLCZOGIUWCuIH2DqI73PaKaeyddtWvv/97+P7YRSoV6p4jksg0YhOd3c3hUIp6nMi3HjDjdxx5x1Mnz6dt99+m/v+dB9/uv8+/vPqq5k2bRp9+tTFCswydHRNJ1+f49e/+Q1PPP0UfhBw7x/n4IcBumGQz+UJPY/581/mxzfdzLynnmbhq/Po7GonlTapy2W44Xs3snTFckJdxwkAzcDTDMJACM0UHa1bEfFIaTpmKkpmvbV+PT/8wS1UKh6PP/k0H9lnImLaBIZNtbtCNteHPfccxYL5r7Bl8xZWr1jNt771LbZv28rDDz/IRRddwIYNb7JgwUs41RKTp0zhqaee5oc3/Yg169Zy/gXnU6lWQINiqUQ6laIhn6NcKaMbOn61SmdnF8uWLQOgo6MTXdd7AphoSXjPcQmDEINob7/Ozk5EomA4mtoLhm3z+uuvM3fu4/Tr10RdXUTfcjmg2tVBuVRk+LDdOGbW0dz2sztp6yry6NzHWL5iRbRwByG6qZNJW1x57TW4CC8tfIVTzzgDMw2r3ljLujfeYN68VTzwwANc/fWv45arXPzlC/Edl5SdolKpkGuwGdw8mBNOOIENG95k5cpV9Mn1oamhCejZ+8w06du3L4hEutvQ+eEPbuFnd90DmSy5XJ577rmHzm3buOGb32TYbsMAE81IYZighRbt2322t69B19N8+ZyraG1fz5w/PsELzyzgyxecy/z5L9La1kZTUxN9+zaxceNGHp07l3K5zG233c6yZcsYNGgQK1asYMHL8zn77LOxbZs//OEPrFq1iltvvZUNGzbw5ptvUq1WGTx4MIsWLeKZZ56hvb2dr3/967zzzibefPNNvvTlL7N0yVJeeP55hg0bRjqd5rbbbueOO+6IbbZmmjV7diRIkCBBgn8WdpmRtb8FPfrUIdo7JwwBoT6dBg06OqCp2aRYKJBKpSiWihiGSUtLC3V1dTQ3D+S0U07lhOPP4tG5j7LnmHHcfutNAFSKRTJpCzObpb2jg66uLj77mc/SVnT46e0/AWDWpz/N448/xplnncUnDpmFrhuYmsXXrr6axsZGvnbZZXzqiE+xfPkK/CDAcT0am5qoFHw0I1qJ75nH1jJx4iQymTT5hjzHH3c8hmnSr2+/+Hu86667jkMPPZTvf//7nHT0cfieH40YBgF77rkn2WwdpUqZbCqLpsE7b79NKhVlOHO5HEOGDOHXv/4Vt/zwJpqafG688Q6GDsnT0tVC/4a+FEtFGgyfru4urAH1SHeBMAijfc1SKc444wxWtXmceeaZDO7fwM/u+BkjR47g2muv5dvX3sG5555L86BmfnrTL9htt3q2tW+jf//+cUY3DALSmQwzZ87kmaef4ROf+ATlqsNtt91GOp1GgHK5TDabpbWtlaFDh5CyLS659FLWrVvLhRdeSKaxmWuvvRYMA+nZiMw24SN7j+KRP/6e73znOxz78Y8zYo89IsewHO0JNWTIEAzD4NjjjuNTn/405XKZgw8+mDO+cAbZdJYbbriBSy65mPr6HKec9DnmzJlDc3Mzd955J8cffzxbNm3m0ssu49e/+hWpVDStdMOGzQzfaxB2yqKpqS/pNDiuTzplYhk2e+21V8+IYkBXd3cUwHqCYWk0NTWBwBlnnME1113Leeedy9lnf5m7f34PixYt4q9//SvpTIZCt4Mf+jQPHEip5DJg0AC+ePYXOf/883nsqV/z0APPcM4552BqAR//5GcxdJg4cQKzH32eY489liH+OxxwwAE908sgKJfJ1vflwgsvZOXKlXzpS+cxbp992X334fz617/mhzf9iJNPOYUnn34WNJ1bf/IT2jq6aWjIE7hVTNOkqampZ2+xDgYPHkz//v255557uPXWWwnDkJNOOolZs2bxxZM/w7HHHsvXrvsOv//JbTT17culN/0IK5PhZ3fcweGnnsYTs+9l5swjWd1WJJdv6HHsokRDPp9n9Oi9QQwmT57MhRdcyJ3/9V+8tOARPvOZz3DVVV/jhScfZNCgQRSLQjofrdaovmU9/LDDuOqqqzD7+kw9cAb5XArEY9zYsdz3p1d48Mk7aR44kI9/9Gz+49ILAOjqioLrYhHqG0yamwdw/HHH89zzz3DGF05j9Mi9SGV6NtP2PBzXZdy4cfFeWoah0dbWxoB+TfTv158f//jHXHjJV2kaMJBDDj2UCy64oFfmSwtDOjs68HyfT3ziE1x//fVs3bKVdC7LL35xNykrjeNWMXSd2267jf+8/ErOP/98MkOauPCiC/nIiI+Qm+jz3d/+nKuvvpqjj/tYTwASrRar9Sys0q9fP/wwjPeNxI1GdxcsmM+9c+5l0Mg+/PK3vyaXyYFAOheNOvbp25cjDj+C4447Ht8XvvTlL9E8aBA33/xjLrvsMk477TR0Xef6669n3PjxnPS5k7hn9j3ce+8crrziSqZPn05nVxepdJpiuYTjeNh2KhrN9oWrrvo63/72t/no8cfSPKA5ms6cylAqlcg35Al0LW5PoVRi9N6jSaVSeL7fMwU1urb33ntz98/vZsQeIzB6FuOpyxpYdjQFWjMNbrjhBo7/5Kc44ogjCIOQOff8PloF0o9Gwo8/4QR+fOccPv3pT4Ne5OLzv4NtQ1NTI2+/vYkrr7ySarieSROm88gjj9A8MEtnx1ZMy4z0eSkknTM47rhjeeWVV5g790n2HX8mAQFmRHLSVpR4EaJR2IyuY5omgwYNgo527pgzh4+e+GVmzJiBYRjc+cAzeI6DlYpGbnUJGTVqVLyP3dCxH+G8887j9ltvRHc7mH74J7j00ktZs+h5VqxcTSZbx6mnnsq1130j2ogc+N1vf0vKtvjCqZ/niisu54jDD8dK53jhhRf45je/yemnn87vf/97mpqauPvuu8lkMlx00UVcfvnlFItFhg0bxpk/uSWaWmtYnHPOObiez/kXXcK4sWN5/vnn0XWdIAjREQLPxbSTkbUECRIk+GdDE1Hb+/5rEW0JKj2ja5ED6mNS7dkr1NIgFYBXdTDCKqHRAICWqiBU8fwCtjWYUDR03cALO3q+jwjwvTyGoVH1A7KWget6ZEwgiFZjCwIfTTfxAkGzM4SAF2rUux2EIvh1OVKOAabO1rDC7675BrZtc+RZpzD/0fncfvvt/NeDcxmzR1/CSoVMNiTwDAw9TdndTMq20fx+YHYRhCFa0AfdDNENg3LgkNVSiO/TboTUiUXa12hPh2QCDXd7B6lBTbi+S72mo1FFMwwqTgpSnfjiI9U+pAwTS9MR2tFIo2lZSlQgFLJ2Gr/chp3J0C315KUbgoBOs5E+QRdoGmU9D34ZWwvQrRy+7xKKgy45Qq2EaXroYR+qVbCzBcqFOupz0TdclqZRKhapy+XwHIeq45LJ1vVsvix4foBhGoSiYRoajuMipkU23A6eR8lsxrNN/BD6Oq1gptHMDNs8g5xRJet049j90JBoKwA9Ws0zDHxM04xGHCUg8P1omhigGSaBEE9vk1AwDQPXddm+fTs3Xn8Dxx57LIMHD+amm24in8tx0y1XUS32wzR19BT4oYumh/hOGt0Icd0iubqQIPTR3H7o6S4qlQqZdBMS2gjRqoKGKfiBH8mOL1hWOloa3nXJpDUktKhWXUyrm8DtSygh6bpOxOsbfZ+kdYPU4XkeBgHYGYoONNolqr5GZ5BmoFUgcByK6QHknE70TIaKb5IxDPxqBc00MXo2tC2WSqQzGfwwQNMNAhEsy4qcfF1HD8LY4ZNQkDDaLDeaEirRdyrZTPxNl3jgakJV16h3DSoVF7fJoqmiQRBSTnWS9fJgmXSFPlnTQPMCzHSJwLPRwgxdzmoaskMgyBGmWimVStj6cAzb7XlHCQnzWBb4ukvoAZ6NnW0jdGx0cnS4mzFTfTDsLFkpgAihl8c3tkcyETYR+GDZ4HptmHoWPcygmVUCDNzQIPR9TENDggDLjDa9N3SDIBSKxSJ1+Qb8UBARbM0nWvsmRNN0HC8gQMczoql9uga2X8a0bDS3Ez9oQDd0vNCPVrENfDTLjN6BjkmIeAFaEGKEAraNq1cp6KCj01jScetSBGGAK0JDT26tC4esr2OFGq0pExuXtO5huZ1opsl3v347l3/rOsQDL+NSdhwsy8LQ0phuNJXQtG1CPyAIA0zLjjd21g2DMAhxPQ/DjEbMRQ/Q0PCDAN/3sew0hmHiei4C2JaNH4Y9ZWhkQkHTdUJN8BF03SBwHIxAx7RMfNePMjGGRnulTC6VptpdIJevR0Mi/gfRCLRuWHQXi+TzOdxQqFQ90hmblN+JGBZgUPE1TDuFF4KpR8F2yjIxxQVNQ/wKgdlAW3uJhgYDLUxTrQbU56r4voEhacQoQmBh6Slc38WyQ6CK+H2iT0LNFnQ9Wr4+CMAyuwnDAKk2YqY8XKebVDpDVSx8zaKeMo6YdAc2/bUWKBTw+uyJVu4Ew6Bk56gPA3RNozuokMUiLDiE/Wy0SkA6TFGoC9GqIWkxCTIGoUAqqOD50QIgbiCEaFHwpGlYpoGuaUjgRvuuS4gfGvi+TyaTIQii4FXN0NA0tRplz8bhhoGuQRh46KaN67qgGQSiYVkGfhCQMtX3wyFutUzKtsFIArYECRIk+GdilwnWPkgoFov88Y9/5O677+bwww/n5JNPZvTo0f/qaiV4n3Bdl/nz53PvvfeyYsUKLr74Yj75yU/+q6uVIME/hCAIKJfL5HI5HMfh2WefZdasWf/qaiVIkCBBggQJ/heQBGv/HxCRODMJ0b49Vs9oRoIPBnw1WiSCru8yn3AmSPC+EQQ7VjoFaGtri76fSpAgQYIECRJ84JEEa/8AqtUqth1tUi0i8RSSBB8MeJ7Xa/qPZVn4fjSlMkGCDxqCIEBEMM1oWXwgSTwkSJAgQYIEHxIk3uk/gGg1wsgZ0jQNx3GoVqtYlrVjf6YEuyzUtxrx6ppJviLBBxgqUFPHtaP9CRIkSJAgQYIPNpKRtX8QItGeZNA7eEuw60NE4pG0xLFN8EFHbYCWBGsJEiRIkCDBhwtJhPEPIOxZ+UzvWZ5ZROJzCXZ9hGGI0bM3XBiG8d5nCRJ80KCmPQZBQBiGaJoWJ5ESJEiQIEGCBB98JCNrCRIkSJAgQYIECRIkSLALIhlZS5AgQYIECRIkSJAgQYJdEEmwliBBggQJEiRIkCBBggS7IJJgLUGCBAkSJEiQIEGCBAl2QSTBWoIECRIkSJAgQYIECRLsgkiCtQQJEiRIkCBBggQJEiTYBfFvtSm2ANrOJ2r/0Hqf1vg79yv6R9bV/JdvifRelf6fKrXzM//yRvzvoJeASM1/ei5o9BKS/5Nmq2XYtZrfmhe/ixXqfp13CXRcjDoR9vwa/wv1TPBuvIvw/8M9/919CRLw34rUP6LJE/x7Q1kADdD+hv8iPTcok7dLytS7bHdYc1GNSWi9zfn/KaTm6L1fXkt/eU/TLTuelp4Ga7vYeMt/5wPXkL/2Nv3vYorE9NN2Ot/rRTud3SVl9u/Ev1Ww9v7wfhysDyP+3nZ/2OmkFH5td68JgP7P0Muc1hz/Pfe/F2oNWhKs/XPwfvvIh70vJfi/xofJSUnwz4OyAL0s23uoI2Ut/hUW8O/HzsHa+7Gb/xr0InVNp905nQpRUKMCtujKB9du16bB9b8r8/237v3w29B/q2DtXSzU3vuPf5jVH0gZ+Ucq/YFs6D8A7W8c/yvqsNPIXu1lea/7/56yE/xz8H6cBMXTZLvLBO8D/40oqUv/Z4P+CT40+J/k5YMnT7tajXv7l/9TMuW9zmvo7AhzdtGw+X+okrqsWrLjr/cL/W+84r3L2AUp9A9jFxtDTZAgQYIECRIkSJAgQYIE8G82svb+8GGKxf8e/L3t/rDTaef2/atm67+P0ZnalPr7nvKxy3598CFCMsqZ4P8eiSQleL94z2z93xCgXXQs5z2ws23b9Wr9nt9b9TLd0R/v4o/0tG0XHT5/v9/NalJzfhdsx64ITUT+febfSFgzB1t714ee7/rI9kMhRLWzg+H9OekfjPne/3x8EBd/+Ps+1n3/9yb4u5GwIsH/Mt6XRvrQ2bAE/yx8eFXUrtAJ1Fd+Pdh5QTsEtHDHMfZOz6pHojJ6rQ22S6/28t4LifSq7nut//L+nqT2u3zp9bvj7h1nd3wZ90HHB78FCRIkSJAgQYIECRIkSPAhhHHddddd96+uxH+HMAwJwxA1AOj7fnzN9300TSMIAhzHwTRNRATXdTEMA03TcBwHAF3X8d0KgYToGgQSUnZcNE0jFEHXdcJQkFAgFDTRCHsi+DAMCYKAIAjid2ua9q66GIZBGEbPBEGArut4nofv+9H7e+4JgoByuYxt24gIYRii6zoigogQBEHc5iAIojr20EGhtj7qeqlUimmyg24BlUoJ27ZxXQddN6hUqliW1VNG9O4wEDzXxzQM0ALCMMDzvbhtIsQ88DwfEQ3HcdE1HU2L6uB5XlyfWh5Uq1WCIOjV1tr2eJ6HiKBpWkxXda9qq7qv9p5afohIfM513VgWVL10fUdeQtFItadarRKGIZpGL5oHQfQ8gIaGH/jxNSGMaRcEAdVqRNOonKj9ih6q7orH1Wq113nTNGN6qDYqGqhjJTe1zxmGEcu9el7TNHzPJwxDDMPokb1IHtSXzeo+kR18U/cruQ3DkGq1GvNQybriiaK3xH0n7HVf7fXavqHKdxwHwzBwXTfmaRAEcV+plRXFL8U7RQd17DgOlmXhum58Xj2r+GtZVly2onGt/Kk+p+s6ruvGfVG1WbVRtU/do9qleF5LT98DEQ3XcTEMvefZKJNarVawLBvP8/G9AEM3cN0ATev9XiUfItJLl9XKSS1fanmp2lWrM2r7nuoDqoxKpdKLn4pPqp21Mql0q6Kjoketrlb8Vs+quig6VSoVbNuO+VVLW9M0Y36pPlfbd1X5qg3qGVUnEYl1bK1OVLIIUCqVMAwjbq+ihSofdvSPWv3t+34sc6r/KR2n63rMF0UjJYdKB6qyVH1U/ZUM1up5JYfqvK/6ROAjCG7ViespYUgYhD2/AWEQUnV39I3afqXqUauXVP0Uj1U9VN3UM7V0UvKm+o2SO0Un1cba/l1L29r+p/im5KdWjtQ11Qdq66uu7Wwz1bGSoZ3LVDKj9Iau65RKJUzTjPvzznWutS9K9yj+1urG2jbU6iLf92M5qrX3ihbVajXu7+pdqqyd+8B70Un9lkolUqlUzAslPzvbVAlDgp7yYjruVP+4fxkmEgb4NfpXycTOuknXdbq7u0mn03EZItLLFivfQMlMra1TtrNarcZ9qlaX1eqKqJ47ZDCigRCGEuv+UinygcJQ+VM76uJ5XnwcBAGVSiWmo+LNzrZu536kZF/JpO/7CGFPmyPaBUGAphbIkBDXqWKYAAGIh5AiCKO6R7Luomvg+x7lUpFUKo3nhVHbRCMMAwxD72X3DMOgXC730lfquuoLtXKn+o/SDzvbamWDFJ2UPlfPKjqpcgLPRxNwFT1F6C4VsO0UYeRERs+FIaEfRKNFuk4QhD3yHeJ5LpouOG6VUqnYI18eoBEGgiZeLx1dqlQxLItQwA9CDD3adCvwXHRdAwkJRYv7gud5sZ1QclarD2vt1Xv52cp+1foXtTKtdF6tz1mrk9S12ja8H+zyI2tKOBQxLcvCMAw6OzuxLCsWvkwmg+/7eJ5HKpWKCZFKpeIOZloWEnhI6OP5Hul0mo5CJ47v4QWRU2voekTkcIfyU+9VwZXqnIqRmqZhWRae5+I4FRynSuSUhbS2tpBKWeg6mKaO41QwDI26ugwQxk4r7FDGYRhSqVQIwxDLstA0LaZBEASxYjNNMz4PkMvlqKurA8CyrMjo6BqmZQAhlWoZz3PIZjOUKyU8z0fXTDTA80JSKQvXVcPzgm2ZdBe6ME0D0zQolcpUqw62ZeFUPTLpFIahx46X4ofv+6RSqVjp6bqObdtYlhUrCl3XMU0zdjFhxWYAACAASURBVEZrA2vlHKrzyiGIlG0YOwFKQahOpniUyWQIw5Curi6CIIgDU0VjVU/Fx0wmQyqVwjA0DEPHskzCEEzDIAw0NKL2hYH0GAWNMPBjg20YBplMJjZGxWIR27ZJp9OYphm3Xym9TCaDZVmxfDqOEysJ9XfMPzR0PZIPxetqtYpt2z20BcetUKmUgIAwiNpnmRYgmKZBEHroOlTKpTiw1jQNXYvmvuu6TqFQiBV1pVKJ66loXet4l0qlXnXs7u6ODZ6iiYjE11VdwzDENE06OjpIpVJx+1VAaJpmzKNax1jxVwUhuq5jGAa2bWOaJtlsNtYXtbJWLpcJw5BMJkOxWIwNvpIHTdNiI66eUQpV3VMbWPu+Hzvo6XS6lwMGYNs2HR0dcb1StoFlaliWHespw4jWwcpk0pGsh1G/831I2QaGYcT6QNFCOYXpdJr29vZYFpQMq76k+p6u63F/VPfubChU3ymXy3G76+rqYn2p+qLSpSooUdccxyGVSuH7UT9Ip9Pxu2qdTeUoqX4XhiGpVAoRiXWVkhvbtuP3QBQ81iYMVHkAXV1dsWOiaK/4HwQBXV1d1NfXx3Tcvn07IoJt27S1tVGpVKirq4sTRbGN6GljuVyOdYZhGLHTJyKx3q11iNPpNKlUKnZwVBCg5ETRyfM8KpVKrLdM04zpl0qlsG07loHW1ta4PXGAIFEKUTfMSC9oGmaPPgtDwTBNDMPENC0MIJvN4nketm33Cu5VP1eOv3qPcsSUA1etVkmlUnF/1TSNQqEQ61DbtmPHQ9M0urq6Yv6pX9u2KZfLcXCu+jXQS/5qy6kNwGqTSIqeyjYqG1HrDKnEjKJ5uVzu1V+UQ5VOpykUCnFAr2QiDMNYh4sIqVQqTgQoXrW1tcV6X71XyWltW5SuAuju7o5lR/0dBEGv4FCVp2kaxWKRdDody3xt0ForR7UJTEWvXC4Xl12bIFDyrdpj6AaWZRP4AR2dnZSrFRzPI9QENA2nx9dI2SkQoVKuxD6Y0nNKT6hjRf+Ghga6u7tjGfN9P5ZDFQAq51cFC0qnKv2dzWZxXZeWlpaYnq7rxvZBJUqqTgU1nbBadTANA9MwMHST9vbOHl2zY9n7SqUS013ZaiWztT6eqq+SNaXLlF5yHCeWRSXPijahBHiBh52yQQOn6sWz8sIgxE6lgIByx3bQQqoOFLrDyA/RDTLpDBoapgb5fH2UmNECDEtHN0E3tLjOqk+5rks2m43roPq+8h1UckFE6OzsjPt0KpWK9VZ7e3uv4EXZBGUnlS9Qm9jaYcMtNAxs9OifCLn6PB3dnTihh+g6gSY4nksYhbMUCi6O40eTHTWwbQvPc/C8Kg0NOWzbIpvJEASCrhvohk5QKeH22OZsNkMgUHFDNFOnUCzv+KTPrVLoaIv9C+W3KHlV/ocK4iI/focfo9pcmyhQPkCxWIzP1QZftXZKxRBK1pQs1SaA3i92+ZE1pdiUIXnttdfYuHEj+XyeJUuWYJom+XyeSqUSO8cQGXNF9NhZ8RzMVApN13E9n1dee5XRe43GMi109MhxVf1ZA93ckZFTGQbbtmMDpt6lFIxy9CNGhxiGTi6Xi+tfm41RBsgwzF4R+FtvvUU+n48dUF3XqVardHZ2xoq7NvOhytJ1nZaWFurq6nplszVNsKwahWpYLFv2F4YOHdrjeBgUimXaWtsplSr06VOP61fxPI9CocD27a30berL1q1b6devHxLC9tZ2mhrzAHR0dKPrxMpuw4YNtLe307dv31hglXJYvXo1jY2NWJZFpVKhs7MzDj6UUlYOUalUio1yrQOpnAPVZqXkVQdSBsyyrDhog0iJKodDla9oqbIoItG9mqajoSMSKc5y2SGbTWOYOxxpXdeAqF3KCVEKQclIe3t7z4imG8uycvBUPZQBqjVUtUFqd1eR7u5u6nP1OI6HZZkxXbds2UIuV4+maaRTaTzPja/5Qchzzz3LiBEj8H2Pbdu20djU2NMucF0f0Kk6LpZlkM1mYxlXzpMy/srJVnyrq6uLlZoKMGuVUW2/VcahVCqxdOlSisUiu+22GwCFQoGXXnqJESNG0NHRERsYxavaEQpVfmdnJ9lsFt/3Y4daJTPUc8qpUvdv3ryZAQMGANFoikputLe309TUFDsM7e3t1NXVsW3bNvL5fGygurq6aGlpIZVKUS6XyeVybNu2LZY9VS5APp9nw4YNVKtVNOqoVn0yWYMgVApc2LJ1C5lMhnK5SkdHN5lMPV2dZbJZC9dzWbx4MR0dHbS2ttLV1RXrsjAMWbt2LbvttlscRCojoWRJOdFK5ym61F6rVCosX76cQYMGxQGGcnhVMiSdTtPd3R0HZKrtjuNQV1cXBx6aptHd3R0bepWBVteDIGDFihU0NzfH9VIBo9JZffr0iWUlk8nE9FQOZ6lUIp1O95JJFWip87VypxINmzZtitus+Ol5Xlz/tWvXksvlWLNmDZVKhVwuF8ut0jMqS636rJI71V9qEzbK8X/zzTfxfZ/6+nqKxWLs8CsnM5vNxgGDep8KjGqdPxU4mGbU519//XX69OuLhCGmYRIGAame/mL3tNOrVvFdF0PX0UwTx3V62RzFm2q1SiaToaWlhUwm02tWiNLXKoFRm3RT/1Wbi8ViLBupVCoONjo6OmK9YRgG69evZ8iQIbEtVKN9ym7UBmjKUVQ02jmAU8+vWrUqdh7T6TSO49DW1kapVKKhoSG2J5Zl0dnZyaZNm2K+KXmpVCq0tbXR1NQUv6+7u5u6uro4iabk1nVdtm3bhqZpNDY2xgGd6gcbNmyIZWfnkVrVbxTdILKZ6j6VjFFlapoW00YlhWudyXQ6HduZhQsXxslRFYCm0+k4OFPBp0qOqASVsqeVYhHLtslks1iWRXtHO6lUGkM3CMMAXdP465tv4bsufZqaQIv6gdKl6j1qVEo5t7U2upcfVsNfFbDV19dTKBQwTZONGzfG/adUKpHNZqmvr49pn81mY121bds2+vXrh++7PX2wSD6fJwjg7bffwbQsGhvztLV1kM2mY9tQKBRjf0w58du3b6etrY0BAwYQBAHpdDoeRZk7dy6jRo2KA/jaRESt/lXJm0qlgmnp2FakN0qFCplsmsAPMTSdzW9vJN+QZ9WyRQweNpxyZzudRZvGxhSaBk7VwbRMPNdB00A3DAzDZsuWrZhWGss28NwA09Rje6aCMqWnurq6yGazFAqFOCgxTTPmUTabjfuTYRhs27aNcrlM//79Y39L6WOVLKlWq7EtUT5MEAS89tpr9OnTh1JXN2+sWElHdxed7e1s3raVhr6NZDIZTN1k6bIlGIZBU0OfSB50nc2btxGGPnV1WbwePjpOhfq6yHduaWklDHXqsmlEQNcD3GqVVF09pVKFcsWlu1jBMKIEqe/5WLYV7UtnGqQyGcCIExa1sziUDL7++us0NzfHyR6l91XwXqvnawdvlL+mfIGddVjtaF0tHWsTsu8bsoujWq2K67oiIlIoFOTII4+U/fffX0aOHCl777237L///vLd735XREQcx5EwDCUMQwmCoFc5vu+L09kqHz36cOlq3yrt3W0yZvI+8vT8F8QRkYLjiC8iXjkUcUWkHD1XKpXE9/24HM/z4uNKpRIfO44j5XJJfN8Rz6uKSCAb335LKpWiBKEnfuCKSCAigYShJyKBlErdvcoQEbnjjjvkmWeekfb2dhGRuO3q3apd6rdQKPR6vqWlRTzPk3K53FOvkhSKrVJ1uqW70CqPPfawTJ9+oGxvbZFyuSKbN7fIxAlT5LBDj5KJE/aXeS/+WUSq8vLLz8rESWNl8pQJMmvWUSISSldXQY477niZNu1gGbnXWDnk4Jky84iPSrValWq1KpdffrlMnDhRTjnlFLnkkkvE8zzp6OgQz/Pk6aeflokTJ0pnZ6cUi0VZsmSJzJgxQyZMmCCTJ0+O61vbtlp6d3V1xXwslUoxb9T9QRBItVqNn1P3i0h8PgxDKRQK4jhOfK32vZ5Xjnnkur5IKOJ7IhKKlIpV8f1QisXu6LpXjnlTyyPHcXrJizq3M3zflyAIetUzCIL4+WKxKCIiv/rl7+RXv/ytSLijrNp2+r4rfuBIsdQljlOScskVCUXaWtvkwIOmSUdHm6xZu1x+8MMbRMSTcrko1Wokc54bta1WphXtVZtuv/32+H3ValUqlYoUi0VxXVfCMIx55Pt+3E7f9+NrqqwrrrhC9tprL7n99ttFRGTLli1SKBRk+vTp0tnZ+S4+qTqpd4ZhGJev+B6GYUzr2rqIRH2zXC7Lxz72MTnssMPiepx33nkyduxY+chHPiKHHnqovPzyy73kbc2aNXLOOefE5dx///0yadIkGT9+vBx00EEyb948WbZsmUybNk0OOeQQGTdunBxyyCGy1157yfbt2+XGG2+UsWPHyuTJk+XznztPJBApF6N6l8sVae/YLqeedrKIeOL7gXz2M5+Xro6qSCDStt2RjRs3yvTp02XSpEkyYcIEGT9+vBxwwAEyadIkWbp0qXz2s5+VBx98sBfPamW4XC5LtVqN6dLR0RFfU7KzceNG+dSnPhXTsZZutbyvleta+L4f651aWVQy293dHZ9bvny5HHzwwbJ9+/ZeZeysnwuFQi/9JiLS3t4e12Hn/l1bRqVSEd/35YknnpCLLrpIPM+Tm266SQ466KD4+a1bt77rvSeccII8+eST8qUvfUm+973vxW3o6uqK71My53leL32joNq6Q986cs4558g3vvGNd9Gvlk833XRTXFbt+Wq1GstyGIbxtQ0bNsjHPvYxWb1hvRQ9R1wRqfqehBKphkqpLBKIVApFkUAkqHoiNWqollaqXsViUa688sq4/ymo9/u+36ufKygdpWSmVnZ2pplI1F+nT58uTz75ZPzuWrvX0dHRS2cqfV77XlWmqv/q1atlxowZ8vTTT8d0mzx5skycOFGOOOIImTp1qnR1dcXPbd68WcaPHy8rV66USqUinufJAQccIFOnTpXp06fLgw8+KJVKRWbPni1TpkyRgw46SEaPHi2TJk2SarUqra2tcvDBB8vkyZNljz32kNtuu01c141lYvXq1XL44YfLokWLetFb8U+1T8nwtm3bevHd932pVqvvkmnXdaVSqfSSOVVGpVKRefPmyaRJk+Spp56S3XffXdasWdOLF7X2pVQqxTRV/devOJHJC0UKpaJ0FQty3oUXiCciZd+VUERKxaKcdsop8u1rrhO36vSS651lQ/F98+bNcu6558Ztey9evvXWWzJ16lR57rnnxHVd8TxPzj//fBk/frxMmjRJZs+eLSIiq1atksMOO0z22WcfGTVqlDz11FPS2toqkydPlnHjxsno0aNl1OgRMnbsGFm5armsX79BJk6YKhMnTJVJE6fK0qV/UZIlnleVdW+sksmTJ8uzzz4rIpGe2X///WWfffaRmTNnyv333x/zq1KpSKVSkaOPPlrmzZsnruvG8lnL50qlIo7jSBAEsU6o+iUJJZBQApFQ5LZb7xAJRKqdJbnqq18Vv9Apj/3pV/Lzn14v9/3uFjlo+qfE8UQKBV8kEAk9kd/+4m4RtyyVQrusWrlMLvvapRKISORBSuwnKllTOn7nPlkulyUIglhHK7movW/27NlyySWXiIjE7awtV2SH7NXKQGtrq8yaNUsWL14s9/32Hpk5YX85bPIBsvfQ3eXAAw6Qz5z2ednU1iKFwJPx+0+Rb/7gu+KLSKFSlvvuv19Gj9xX7v3D/T0+ji8ivpTKbVKutEuhuF2uuvoKkVDEqfriVkORoBL9D3350pe+JFMPnC5jJu4vp559vrR0V3tKEHEqJZGgIuX2reI4zrt8ZYVXX31VjjrqqFhWa3WRametr9Ha2iphGEp3d3d8TtGq9llF61p5+Vs29f1gl1+6vzaDC1H29eabb2bMmDHkcjnefPNNfvSjH/HWW2+xZMkSPvrRj2LbNqVSiaeffpoDDzyQvn37YhgG8xa+gud5PDp3LpOmTaOuro6Wlhb+dP99VMtVjpp5FAPyjTgVn5dfepk1G9fQ0NDAjBkz4sybrussW7aMTZs2MWvWLNasWcOiRYs48sgj6dMnz9y5cxmx554MGjiQRYsWsb2lBRHhqKOOQtN1Vq9ezUEHHkRdXZZSqcybb/6VKVOm9BpSbmlpYd68ebS3tzNjxgyGDh1Kd3c3S5cu5YADDkDXdf76179SKpUYN24cpVKJ5557jtbWVvbcc0/69OnD2LFj46xmvV1HuRyNlj3xxBPRdISeEazPn3wyp512OmeeeQabN2/hntlzmDx1JPfOmcNvfvMb9tprFD+59afccecdnHP2efzud7+nXKpgmWm+853vsPeYMYgIF110EZZl8fzzz7Nu3Toee+yxOHvrOA733XdfPALa3NzM/fffz7XXXsuUKVN45JFHuOKKK/je974XZxy6urp4+umne+jahwULFjBu3DgGDRrE+vXrWbduHTNnzuTRRx9l8+bNZDIZTjzxRCCa8rR48WLWrVvHwIEDmTVrFoVCgVwuRyqVYtOmTVQqFSqVCq+++ioHHHAA48aNwzBMlixZwryX55Gysxxy8GGMGrUXDzzwKAcetD+pdBPZbJaXXnqJ3YYNpiHfj5deeonOzk72228/Ro4cyV//+lcaGxtZunQpGzdu5KSTToqz8uVymccee4z29nZ83+ewww5j1KhRFIvFXlN6HnjgAbq7uxk7dix1dXUUSwVefnkhlUqJ6QcfRDqd4rXXXsP3fUaO3JMXX3yepr59WbN6FcOHjeKII2ZQdRwsK8oK1dfXM3PmTFzXIQgDHnvsCbZs2crECZMZN24f6nMpVq1axaJFi3Bdl/3224+99tqLuXPnsmDBAgYMGMCMGTMol8vMnTuXcrnMUUcdxejRo+PpJCoL9c477/DnP/+ZTZs2MXXqVCZNmsSKFSt48sknOe200zj88MNxHIeBAwfS0dGB67osWrSIN954g8bGRqZPn86AAQNYs2YNYRgyZswYwjBk5cqVNDc309TUxObNm3n55ZfxPI+RI0ey9957M2DAgF7TbdLpNL/4xS/i96hvQZYvX87dd9/NuHHjKBQKNDY2IiJ0dXWxdu1arr/+eoYNGxZnW5977jkeeughBg8ezOuvv05LSwtTpkzh8ccfx3VdNm3axMUXX8yll17Khg0bmDNnDo8++ij19fV87JjPcsfPfseZZ30O3w9YMH8Bd971U5qbmwklRESjvr6edNoCgXTaoE/TEJ588klM0+Suu+4C4Atf+ALpdJq3336btWvXIiL84Q9/wDRNZs2aRTabZevWrSxdupT169czevRoDj30UJYvXx6PCqVSKZYuXcpuu+1GKpXijTfewLZt7r//fg488EBee+01jjnmGN5++21efvllRISZM2fGulN9p5XJZJg/fz4rV67EsiymT58ej5QuW7aMtWvXUiwWaW5u5sgjjySbzeI4Dhs3bqSzs5M99tgDEWHLli1s2LCBCRMmkM1mqaurY+vWrSxbtozW1lZaWloYM2YMhxxyCJqm0dLSwoIFC9i6dSujRo1i2rRptLe3U61WKZVKvPXWWyxcuJD169czb948jjnmGEaNGgVAa2srL7/8Mhs3bmTMmDEceOCB5HI5mpub45F+y7KYP38+I0aMYODAgXiex/3338+UKVPo27cv6XQawzB4/PHHGTJkCK+++iqf+cxnAJg9ezaO43DYYYcxZMiQKHPcM2L7xhtvsHjxYjZv3sy+++7LgQceyFNPPcWyZct44IEHOProo8lkMjz88MNs3ryZPffck4MPPjieJTB37lzq6+uZMmUK3d3dGFZvk/3222+zdt1a1q1eS98+jZx44omUu7pYu3Yduq7zyuJIT3ziE5+goaEB0zR54okn2L59OyNHjoynXsKOb09efvll+vXrx4YNG9i6dStHHHEEpmny+OOPM3LkSA4++GCCIGDDhg0sXLgQ3/c5+OCD2W233ViyZAlDhgyhubkZ27ZZsGABe+yxB6lUii1btjB79mwsy+KQQw5h0KBBAGzcuJH58+czZswY9tprLwYPHtyrjWpGC0SjUW+99Rbf+ta3sCyLfD5Pe3s7hUKBk08+mTPOOCMepaqvr4+/ufzxj39MY2NjLFe33HIL55xzDkceeSTd3d3cd999HHnkkZx44onMmDGDdDrNE088weLFiwG48sorOe+88/jc5z7HvHnz+MpXvsLxxx9PU1MTjuMwe/Zstm7dGo+81E6HfeWVV5g0aRKGYbB48WKGDx8ejzTPmzePqVOn8pe//IUlS5aQSqXYf//92WOPPeju7uahhx6iUqkwbtw4pk2bFk9tdN1oBP66667j5JNPZuzYsdxxxx1kMhn++Mc/Mn78ePbYYw/K5TKPP/44xx13HJVKhUcffZSWlhamTZvGvvvui2HbOOUKjz4+l21t25kyZT8GDh5EGAaEfoAYFpZt079ffzo7Orn//vvRTYM999yT8ePH884777Bu3ToOOeQQDMNg4cKFDBo0iHnz5rFy5UoefPBBpk+fTj6fj0daTdPkxRdf5K67/h9z79kfVbm/bx+z1qzpk0kvQOiB0ASkS5UOiiBFQYogvaOggvQiCgiCbERAQEBEAoKA0kKLNAHpgRBIAiEJ6ckkk+ll/R9MMnvv+360n/3WK5iZz6zr+pbzPM4fUSqVmEwmnE4nx48fJy4ujg0bNlBUVMT58+ex2+2MHz+eDz74gLFjx3LgwAGWLFnC2bNnOXnyZECRs33H9+h1RmJrxLLx282s37Cetm3acvv2P9y+fZtGjeIBL7m5OcybN5fIyEhMJhPFxcXMmjWLLl26sGjRIi5dusSKFSsCdWPVFmT06NFER0cjSRIXL14kNTWV0NBQevXqhSRJGAyGwMamoKCAgwcPIkg+unXrSWyNGpz4/RT//HOLY0di6NWrOwPfGYio1WGzWTGagjDotRiMJtwu0KhFXE4Zq7WCy39dRhB8tGzVmuCQYDweFydOHCMz5xUd2rSlWZMmANy/f5+rV6+i0Wjo0qULsbGxJCYm0rRpU+7fv0/37t2xWCxcu3aNnJwcunbtiiAI6PX6wN3YunVrGjdujNPp5OzZs0RHR3Pr1i2Cg4Pp2bMn4eHhgXPiP6XuarWa1NRUJEki2GSiXp06/GvnDpRaLcWWUvb9dpC3+r/Fnv37qVajOjIyHp+XI0ePcvH8ebZt20bbdi0Bvz9PEEUslnJ27d7NvXv3iG/YDKfTv50SFAqcNhtqnRaPy0lEeAQn//wDhUqDx+3BaFBjtzvRav2bxHs3b6DSaMguuE+9evVQKBScPn2a4uJiWrVqRatWrTAYDBgMBsrLywH4+++/SU9PR61W884772A0GrHZbCQlJZGTk0O9evVo3bo14eHh3L17l0uXLhEZGUmnTp2oVasWFouFv//+m7S0NBQKBYMHDyYyMvK/NuNVm8n/5fk/71n7Tw+EXLm2rpKXFRUVcfPmTUwmE1FRUaxZs4ZHjx7hcrnIy8tj6dKlAbmhw+HgVU42ZrOZWzdvBvTiX331FfmFBTx4+NDfcKhEftq1l9WrvqJ+/fokJCSwY8eOQDEtyzL37t3jm2++oby8nHPnzrFy5UrS0tLILyhgzZo1+Hw+tmzZwrVrV6kRG0tefj779u3jeUYGH3/8MR6vB5/s4/djR7l169Z/yUsEQWDr1q1cvnyZrKwsevfuTWZmJiqVij179gQMx6mpqRw5cgSAffv2cfDgQSIjI1mxYgUbNmzAYrEEmjWLtQKdTsfUqVPp178fFZW661evXuF2e2jarBkDBw5h6ZIVfD5/Phq1hg0b1hPXIA6v10t6RjoN4uL8emJJIjQ0hN9++42rV6/y0UejKS4u5sGDB/Tp04fRo0ezefNmhg0bhsFgQBAE3n//fQYOHEhpaSkhISHY7Xby8vJo1qwZWq2Wpk2bcuXKlYBvqqppWbt2LXl5eWRmZjJv3jzOnDmDIAgcOHCAxMREDh06xNatW4mLi+P69evs27cPi8XC6dOnOXz4MLVr1+abb75h3759GI3GQFOUmprKgAEDWLhwIZIkMXLkSFJTU7ly9TILvljgX4ErRKZMnYrT6eXatWucOX0Wn1cmLT2NpUuX4Ha76NWrF/v37yczM5Px48eTmJhIUlISffv2ZdmyZVy6dCnQyADs3buXPXv2UK9ePdRqNd988w1utzvwO/l8PtatW8fJkyeJjo5m4cKFLFy4iJDgMA4dOsS2bdvQVMpdNmzYQEpKCmVlZj797FNWrVyJVqdj1aqvmDlzNqKoxOV04nA6UKkkkpKS8Po8TJwwkaSkJEymYGbMmMXEiRO5desWM2bMID8/n4KCAmbPnk1JSQnZ2dmkpaVRWFiIUqlk1apV5OfnExERwdSpU8nKyvovz0ZRURFDhgwhMTERgI8//pi5c+fy7NmzQKFUJUOokuKUl5ezcuVKvF4vV69eZcSIEdhsNi5fvszly5cDstKkpCTy8vIAmDRpUkDWNW/ePHJzc/9LKlklzcvIyGDkyJEBCXFRURFWq5WZM2fSqVMnTp48GdDe5+TkMHnyZHbu3ElYWBgAr169QqVSsXLlStq2bcu2bdto3749arWaoKAgVCoVEyZMYOLEiUycOJEWLVqQlJRErVq1ePLkCV6vTOs2bQEFd+/eZeHChezauYvw8HC8Hi9KpUhYWDiy7P9/6LRiwGP3n35cuVJiUyW/XrVqFU6nkx9++IEJEybgdDoZNmwY69evx2QysWXLFhITE9Fqtfz222+VkksbP/74IyaTCbfbzYEDBygtLWXNmjX079+fo0ePcuPGDT766CPOnDnDo0ePGDhwIAUFBQHZmNFo5Oeff2bmzJmA/9IePXo0kiTx6tUrZs+eTW5uLo0bN2bdunWcOXMmMGhLTk7miy++CEjxEhISMJvNsabR2wAAIABJREFUgQaiyhe5dOlSSkpKiIuLY/Xq1ezevZv8/HzGjRvHgwcP0Ov1LF++nB9//JHHjx8zfPhwZs+ezY0bN8jIyCAzMzMgW92wYQOCIPDdd99x/fp1mjdvzk8//cSzZ8+QZTkgQ6uSWt+/f5+kpCRsNhtms5mlS5cGhh1V8pcNGzYwZswYHjx4QElJCd26dePOnTvcu3ePIUOGkJubG5A9Z2Vl0adPHwoLC3nttdf4+uuvsVgsPH/+nNTUVLKyspAkibVr13L8+HH0ej2LFi3i559/pqioiOHDh5Odnc3Dhw95//33cTgcyMiolP7Gxe1xM3feXFauXEm9unX56/JfbPnXZnRBJr5avZrP5s0jOjqazMxMdu/ejV6vZ8eOHfz666+EhoayZs0aLl68+F9SJ4VCwZEjRxg3bhw3btzgzJkzDBs2jKFDh6JUKpk9eza7du3i2bNnvPvuu7hcLgoLC5k+fTo2m41r165x+vTpgFxq06ZNREREoFKp2LRpE06nk0OHDjFo0CBycnJYunQps2bNQhAERowYwdatW8nIyPj/SVurZMYej4f9+/ezevVqmjVrhsfjITQ0lPv37/Pzzz/Tv39/unfvzqNHj7Db7Wi1WtatW0dcXJy/mAwOxufzUVxcTHBwMHPmzGHZsmXMmDEj8N6FhYXx/Plzli5dyieffILH42H79u0MHTqU/Px8jh8/jkajwWQyodFo2LVrFzExMdSpU4eysrL/8mdKksTPP/8ckC1v3bqV+/fvB4a+SUlJJCQkMH78eIKCgjh79izjx4/n+fPnbN26lefPn9OgQQNWrlxJcnJyYGDsdDq5e/cuDoeDrKwsQkJCWL16NaIosnXrVj755BPKy8vZsWNHwEf4ww8/cPz4cRo1asT48eMpKyvDZbMxdMhgLl64QO06dZg2fRoZ6em4fV7Uag0OpwOl0m8p+Ouvv3jx/DlJSUlMnz6dw4cP8+TJE7Zs2RIYSO7YsYOEhATy8vKw2WwBSfd/yvOKioqYMWMGK1eupHfv3litVgwGA9u2bcPn89GxY0cWLVpE586d0Wq1XLp0iYkTJ2Kz2Th48CDx8fEolUoiIyMDg5asrMzAuVRqNvM09RmDBg3i6NHfGTF8hN+HLvvYvXs3u3btpGXLltjtdiwWCxkZGbz//vvo9Xq6dOkSGGb9p+9r48aNKBQKbt68yQ8//EDDhg355Zdf2LFjBwaDAbfbjdlsJjMzk3HjxpGVlUVRcRFDBg/m7t275OTkkF45/NBptJw+fQZkH0aDAcHnt8wgC/j8VkEkUUFuTj5FRUU8eZJCcUE+doeNa9eu8iztKWFhoaxYuSLgwZ0zZw4mk4mUlBSGDBlCWloaO3bsYODAgWzdupWCggL69+/P5s2bycvLY8yYMdy8eTMw2FAqlTx79oxz586hVCpZu3Yty5cvp0GDBpw4cYKjR49it9sDMs+qe6nq7K4axIsKBZJCRKk3AApCQ0OZPmU6pmATeQV5lJpLialejaMnjnHq9Cl+/HEnXbq2q5QO++WegkJBZGQUCz6fz6+Vwx2fT0apFPB4ZdRaDbLDP4S5cOE8vXr1oVPnN0k8fwkUoNWq8Xr9v+O+vXuZPmUyX3/9NWq1mgkTJpCUlITZbGbMmDGBM95utxMUFMTevXtZunQpkZGR3Lx5k3Xr1qFWq1mxYgVnzpwhIiKCDRs2cPr0aXbt2sV7771HdHQ0Dx8+ZOLEiRQUFLBr1y5Wr15NtWrVuH//Pps3bw6cr/BvIND/+vyf36z9p0kW/BCNpUuXsmz5YlxOF3qDgaFDhqLVqmnbti1Pnz6lRYsW7PxxF+3atkevN6KSVJSay3lrwLts372HJYuXIqslHE4rM2bMYPyH48lIT2P8R+OwWAp58Og6p88cwqfR0atXL2bMmEFFRUWgqO7atSubN2/GYrFw4sQJwsPDOXz4MGPHfojBaKRJw+acEP5gxapP8TiC6PFmH1auXEnnri2oXTeUu7dSad2uEadOneazRWtwAyiVeLzg9Pjo1r0Hi+YvQClK/J5wjO0bd/LluhUIdg16vYjPVYFa6UOrUWKzmtm9ZzcbN26iVdt2NG3dloULFyGZTPhVuW5wOfn91EFyX76gdfNmGFQSCo8bp82Ky2ph0Wef8vbb7/DqVS693+zKhSvn8Xq95OUV0adPH6pXr07Dho0AUKn9wIC136xi7dq1KAQZleSlzJzHl6sWM2zoMBLPXWDcR2M5cfwER48eJ/NlLq3btCciMpbCogoio8JQW0sINurAZScmPJLwsGrYrB7CwzR43RCsN9CzXWte3P+HWjWqIWsk8szF5JtLuPcomVmzZnL75i12/biTiIgIyopKKC0qxqjWcffaDTq/0Yk27fqw91wwGZcKwAxCsI8KzBjs5aB7jd0HjxCueczBk605f+MRUukdxg+fwdARA/BKeRSX53Ptnwf0GTCEB/cvIqlKePE4H9FppPhlMrKg5qeff0VUylS4HWzcuoX3hnyAWh1GQsJvxEQZkH0efHYzgtaFw1LEdxu3UbtODG43ZL7IweXyoNH4QSEFBbmcPHWcTRs38FrzZrTv0IJxQybjKq9AcvswKFXIbi9atZawkFC8bg8Olw9TaDV+2neIyKhwoiKrs3btWsrLzbjdPvQ6I8XFxSBL3L+XwpMnT1mzZh01a9akVq1Y5s2bR3Z2Nr179+aTTz6hsLCQxMRERFFk2rRpWCwWRo0aFfCXLFiwAJdCwbOXzym3W8Hj98/ILg8Hdu5Btjr45us1aExBRFWvxsLlS1m4bAHrv13OuLEbadioBkrBguyOpNyai0pXzhefJdCxYzPKbC8ZOmgiJ36/gFFdwauiZrjcoJIfI4s2SnxaXtw4Q/eufRk4diwmHvEo7QGlHv/Ez2w2ExwcjNPp5JNPPmHQoEGUl5cTERERuJjVajWdO3emVbPmbFq3Hh0ig4cOYe7M2cyeOYvQ4BC8sg8P4BHg3LXLtG7bhuETxnLm5z1s/+lnpnwyi2BPEbdu30FpDOPdESMptXsIUxRh01fjfo6Vz2ZOJiSsJjVrReDxupg4YQpffrkanTYIr1vC61EhKfFDPTT4LyoB8CnBl+p/cwUDhXI4Fp0OrScDSe3A7StlzKwNjBzdhibVypgy/xB3bz9AKer49UACoaEmoqKi2b59OwkJB8nOygUZXE7QaUPRqh1Ur27AQXV8ZS8Qyu7SqNfXbPjmQ+a8142IBqPYsOUzwjHToXsyvxw6y5yZ76Hw+SmWL1Ieseu7f9GqY0dkl4eK0gp2bN/NOyOG06jdG0yfPx+j186aFYtIS0tHr26NSa+m1est2fjdZkrLyjEEBfGq0MyYCb1wAT6PE40kIHrS6dStKyOnzCRUeEqb5iuYvy6Ffvk3MXjSmT/rJFpjCWmX/8BmqI9H9iHYLKz54w7xIQU4r/zBoK2R9OzXmYxjP2NVVcMqioTo/A2e0+nkxYsXAZ9eVSNZ5aWpX78+a9eu5f333+fi3//wWte+6COqU+qUCVEr8Nkq8FSUM2HEMKbPm8fyhV9gMmj4+utVyAqBpYuX8c8//wT8U9nZ2YwbN45p06YBcOfOHRQKBaNHj8blcjF1xijstnx+3PUvjv3+J3Vq16dXz358//337N9/EKu1go8/nolSkomLj2bdunVIogkq/ysKu4f0+/e5eu0qWlMwpcXFlJdX4PCCTx/Gjz/+Qo0I6Nu7C/PnL8BcWsC+vbvY9N0W2rbtQI8evRg9ZiylZQ5MJg1ur4Sg8CBXlBKmrM2Szz+htCKFt97cyKbvvqN9rzL+PPYIUa5P2subTJw6h3ETJ2KzFPDbkV9wuS18NH4MK1aswmQyUlJcSv16DREEkZJiK2/1e5cJ4yfy0agx9O3bl9s3b3Eg4SAb1m+gR5/edO7xJmPGjGHg4HeJdbtRKSXsZeVoTHq0OiV4zCgtFl6WiNQMM2EqL8GiiAJrMTeOHaR91958Nnko06ZOY/xH07l27SqpT5I5dTKRQ4cS+OmnvVCJNXA4K1iybD4D3h5AcUkRPfoP4uq1S4iA2yszd/5CunR7E2NQECqliNtu4cWLF4wbPQqn0+Hf2mr1nLt6g+37DvDHiWMc/v13kCRkfHjcLlQqEY/TQp3YKApzXxBkfI2nTzK58fddevfuS+qTdKpXq8GztKeMHjOKIUMG0rFTa7p370FcXCwZWZksWLSKatERzPEp0JlCUUoSHrcLo1HPtCkTyMnMYNC776D02FDJTsrRcuJ8Au3eaMeHI+ejVts5dGguogDJ99L55cA+bMpiJs6dyfZfj9O1URjl5pfM/3Qv0XXURFVfx4ZvLqJUOrHJ5eiV4bjdDmyOV9SrU4N5H09H0EjMmDadfXu2M2niFIKNBn+GrQ8iQ6MJ0gXTu3dvEk8lsWzxMhBtuHFgB/QoSfjtAF9s/ppakbWQCm1UqNXghIpsC0ePn2Pu3Ln8/vvvbN26lZUrV6JSqSgpKWHChAnk5eXx3nvvBfx8kiSxfv16WrZoBwhotXqys19y6tSfLFmyhBMnTrB02WJWr16NzwsOhwejIYwKWxE+2YFC8GIuteBy+ZB9IiplEB079ESBhE92IygUCKITvehBJ7hJeXiP9u3b06ZDJw6++SZHj52m3A16SSIoNJSCV1koPVbGjxxKtbjGmIsdhIfHMHPmNMpKbEyeOtHPRlCoADXIEi6vgNslU0o85QLola9QWKvRuF59unarxqjp36CS4FlREi07dGbmuE9Rm+6Sdj0IQRb4cftOhr0/nPdHjmToyJF41Equ379DflE+xmAjh3/9lXUrVhKp1bH35ElEwOJRsmPHfrp26Y69vAJtkBK3uxyNXsQpiNiRmPjRdLp06ULr1q3ZsmVLYLhVNYD+T2hblRLAJUCB2wqin8YoSmrcFVaaN2iEyuXDpNax9dvvsLuc1K1bFzc+8MooRQGb3YFBr6WsvAK9zt9AFhYUoFKqUIpeUPhQST5Ky5yEhITw7PFjDEYja9YuJicnh+1bN/Ju3zcRdToEQcbnUyLoQ7B4RM4l7CPl8ROynz/lXxvXExYRTbvXX2fB/EUMGTCYEH0IeOGfq3e5fuU6iDBo0CBmzZpFeXk5Dx48YNeuXdSqVQudTkdBQQHJycm0b9+eN954g7feeovly5ejVqt59uwZhw4dIjw8nD59+vD5558HBkf/XzDX//L8n2/WqlatVZPziooKVq9eTbt2rbFYLJjNZr799lsKi4pYvnw5a9eupUOHDly5epV/bd6MWq3C4XBiMgVhK7H7fyyNhjKHDZWk4vWWr+PxeggPD680u8qUFBezbt06HMK/UdBVj8vlIiYmhu7du3P58mWcTiebN29m+vTpNGzQiMkTZ6AQnDRv0ZRlizcQFhZCbm4uJpMJfBo+/WQl9+7dwOmuwOWA+Pi6eL0giqBQyKhUEm+//RZKSYnsk/n0s3kc+vUIFeU21GoJfDJOt5vi4mIMBj2vXr1CqRRpGB+P1+MhIiwMg8GAQgavDApZ5vjx43z33WamTp3K8RN/IIpKftqzh25du+P1+tj38x4aNWpCaUkpA94ewIMHD4iOjiYkJITk5GT279/PpEmTSEhIQKPRcP78eV577TW6devmB4TYHQQZjcybO493Bw9hzIfjmDRlGr/9doSff/6FGTOmc/T34+Tk5HDs+BGGDBmKVq/HXlKCNiiIwpJiCosKCQ0LwemSkZQyKJRMnzmTY78f4fy5syxbtoxHyck8ffYUm81Khw4dUCoEvv/+e0RRJDPjOU0aNUIGPp0/n2079zHv07kE1ctjUIcPQQE2jxW9Ug8eD02bNEIUQanSUi0mxm+i93o5f+Ec1/++RmQ9D8+fl9GkiY3OXdpz4vhPOF0ufvhhK1OnTaHcXoxKJfHlqi9xuCqw2qy0btWKcks5c+fOJSLSgM8DghIUohJw0bpNK37a8xOSUonX5yUnJwejUV+J4pVxOF2UlZVRPy4Ol8tNcHAI7du3RxL9W10UMgpRwO3yb8wcTgeyz0dUZBSRkeH4fD7atWsX2KpWbfSqpAoFBQWEhIT4ZXg+H2+88QbXrl3j5cuXPH78mOXLl+NwOAJG9apDWKPRkJubS0pKCitXrqTM7cDtcJL65AkNa9dD4fMiKgRycnJ466230ep0OF1O+vTpw5Yd2ygrLyMoyITT6UBAiVe2I/hBlGg1Olq1aoQgQHh4BHXq1sVsLkWvA7u9krbk8aJRabBWVJCbn0dUlP//jUIkKioGZSWVKzg4GKvVypo1a3jw4AG9evXi4cOHFBYWkpCQwKBBgzhy5AhRUVF4XW4cFVZ+3LULq8v/HYNDQtj/yy88eZLKlStXiIyOpG3rNnyz9hsEhcCMEe/x2YoN/s/k9XE9KYnVq74EwKBXYi91UWgtJzRYx59nzrD8y0188MEHDB48iPr161NRUcZPP+0nIyODv/66SNeuftmcH/jiJ4953KDEAyoVyF68bqf/uwpKfD4ZBQr//1xWEN+4CUrxCCUlZqxWK1u2bKHCasXtdlC/Xj3M5jIiIyPJzy/izu37NGvWpJJGpsDnBbcXQsMjGDNqFBIe8guLKLZnsOar/WjKLtO2TRscDjs+2YdapcblcuKToVWbtsgeDx5k6jeI43nmS3w+HzWqV8fu9mIUFdSrV49naRm43W5KSs3UrVOHNq1b8826b1i4eDEqtQq9ToPN4cWgEvF53Gg0OmJrRODzAZKKqBo10WoziKldl36DBvPNhg2EiTncun2bTm1GgkJDn759iY0BpVsgIzcPhSzj9inwoUCrUeP2QLNmzZg3bx7VqlXj+vXrNKmUDlWBEBwOB7Is06FDBxQKBefPnyc5+QnTpk5Bp5UQBXC53H44lUJBzz59AJmyMj8FddHCRai0WiwWC+CHzGg0GmrWrIkgCCxZsoTIyEguX77MpEmTMBqNfjKgQknmyyyio6LZ+v336PUmPG4FNWpUJy09nU6dOiGKAkqlQM+evdiwfj1utwOHw4VOp0JGZvrs2SxfvoLw8HCSHz+hQ6fOKBRgMOgxBWtwOcsRlRKhoWHYbLZK6XB9wIdWqyYmJgaDQYPV6kavl/C6/BuVyKggRMkPI5JUSho0iMbjNVOtWgwOh42GDeJ58vgfFi1agVJhQa83YDAYUUl+WmNpaSnr139Lx06dcdhdaDUa3hk4EI/HD6SYMmUK2Tk5VK9WjX379vL3rRtYrVY6dexIdlYWzZs2Q/b50AYF4fW68OFD8Hh5d/AQmvf7iFO/HSE3P5/Lf12id/PBLF79FQ5jJCbByslziUyasohDhxI4cOAAnTt34vyFc/h8Xo4dO+a/x51ODiUcokGDOAoLC3l78If8c+se7dq04NGjxxQVFrJrxzYEwU+Mzcl+Se2aNbmQdInk5GTWfvUVBw8e4rvvvqN7j+5cufwXZrOZs2fPYjLoaFC/Hn5KmcBrzZuzc+dOPhg1g3feGcDJUyeZNm0KBw4cYPnyJcRU88u+v17zNenpz6hTpw4vMjMZ++FYfti6leysl8TWqE7TJk1wuz2VcBkf7koqq+yTUapUOJxOFLILl1Nm08bvWDBtG8OG9kZUSljKyigqLmLp0u/B9IL8fAeRUQ0oK1fhdLqIiAwB7MTWqIkpyIDH50UtaJDxAx0UKPz3feWGbPKUqXzy8RxQ/JtWK/sU5BfkU79+fbxeH6EhwdhtTrQG/7EjKEQcxSVcuHCR3jERnDiYQMaL53hu/M2btZsS37ghQyeO4d13+vH2228HityMjAzi4+PZt28fN2/eZMGCBXTv3p3IyEhevnzJ0aNHOXjwYABcpFQquXLlCgaDgebNmzN+/HjS09P5/PPPadGiBUeOHOHVq1fcvXOX2NhaRFQCRUQBlEq4e+8ug4e8haBQUGG1IkmgFJVkZ+cwdNgwNmz6F5988jFuWcnbb7+NSvKfDyqVREz16rw3fDg/7d5NlrmCuLoNcTrsuFw+fD4vshc/bFsQ8NrtyIBSISCKSpBdaFTglb1+0J3XbwMqL3MTFSkhKVXo9QbUWsADMdVqYK+wkZuXx/3HyaRnvkChEigvK8NoMCBJElOmTEGj0WCz2SgpKWHFqtX4XD4s5jLCw8NwOhxotBrcLhtVcdK2CitajZoa1WMDEBv4N8zK6XRSVFREcnIy3bp1C9y9RqMRR4UNlVqNx+1CqdEAPlxuNykpKQzXaHDYHcTFxbFw8SIuXrrEtOnTWL10JcagIPR6LQ6HE41WHYD9mEwmHHYHklqN2+VCqATMuN1u6tevz+HDh1GpVLRp04bU1FQyMzOpVatWQPFjtVrp2rUrRpMJc1kZDoeDzZs347D7o5Vat/FbkEpLzXidfjr7skUrKXOUEB0dHbgnRo4cyYEDB/D5fNy6dYsPPviAWbNmceDAAb7//nvsdjvx8fE4HA6ys7PZuHHjf20etVotRUVFhIeHBwBV/+vzf75Zq+o+q2QVCoWCsLAwDEYDQUFBVK9eI4Cq1ai1eL1eVq1aRceOHWnatClejxeNRo0M2BzOAKJUBhSCguBgE5IoIYh+aospNBSjycSChQtxCX4J1tmzZwMY6KoffvLkyYwePZpBgwYRHx9P9erV2bt3Pwd//Q2F6OLkybNs+W4LbsqQRIl167/B49TRrXN39v+6nQP7j7Jo8WJ0GgmFAjxe8LiciIKC5OSHvP5ac2RZJjHxLF6vG4NOh0otgSCgllSUlZejUAhoNFoKC4vIy82lYXwjiszl2G02RAUUlZQRE6YjtmYtJk+egk5noKSklJKSYiRJwmQKRq3xk7wQwePzIFZSbxYvXsyuXbuQZZlGjRr9V45QZmYmn332WWCL4Zcj+Kl5oCAyKqqyETHy0UfjUKl1FBYVI4gCoqjC6XSj0ekQJQmUStLT02nTrh2yQoGkVuBz+xCUEBoWxj//3Cb1cTJz133LnX9us3jRYqZMmYJWq+XC+Qt8NncewSEhJPx6EFH2038OJyQwetRIasfVJM18hZM7b9Dztf4YTAbcuPHKMqEhwf48ELsNURRQSUrcbi9jxoyiQ5c2eJWFXL/2hHpxLUEWCQkNZf3Gb3E47PTr35eHD09gNAYxceIEqteIJiU1hadPn5L9Mo9q1asjCCAowOfyIqiV4HRx5nQiYz6aQ926NRFFWLp0BVarDYNBj0KhRJKU6HV6UlJSaN+uHW6vh7OJiTR6rQl6gwFXjguP04HX5+Xx40c0bNgArVZDzqsc8vMLCA4JCUzvq2QKVeS5srIywsPDKSsro7S0lOjoaFJSUhg1ahRDhw4lNjaWESNG4HA4OH78eOD9qyIgOZ1OWrVqxZIlS7B4ndz6+yYN6tVHoDLzTVITHRPN4UOH+GLZEpQaiZQnKTxJScFkMlU2jCoEhQI3ICpAo/HjePPySqhbLxKv18eTJ4/p1q0rsg8aNqyPxw0qjZaCV69o060aZfm3yckpQVAACLzMyqKl0x7YvlcVyV9//TXZ2X7Zc25uLhUVFVy5coXDhw+ze/duFCoVz1++RG800KrV6xiMRsrLypCRsdttvMh8Tus2rVCKImVmM1ERUShEf+yAwwmIEoUFhTRp0hilAG4PXDx9ll+uPGfblq/QS8HExtbg5s0bdOzYGVFUYrH44zKKioqoqLChVivp07eP//33yGg0/mIBrwB2J0ajFp8xHIU/fgapsrmoUb0agqsYQaiMLVAIREREMH/BfCSlgLnMzN69ewkONtGuXVuWLFnOk5QUfvhhB4hKcLtBAI1GjaTW0K5NBF57AWHhkbzWvitz5owgQuzH8cRkQkJCESujI6wVVjRaDS+eZ1A7Ph4JBenP0jAEB2OzWXHY7egkEafFjMkUHJgiBhmNuD0eFi5cSP/+/RFVaurUroUkCUgSuJwedGolua/ysFhcaNSA24PP48bhtPP3X5c5fvg3Ev5IRaMpIz3jOR6PG59XSe3atREVgEJAqdJgNOhQyV5cHn9VpFLCwYQENm39Hq1Wy7Zt2wgNDQX8DbLdbicsLCxAvBwwYADffvst0bXrM332dCxlNkJMfkqewgt6gxFjpcQnOiYGTWoqq778EkFUkvzwERUVFRQVFREbG8vZs2dp0qQJAwYMCBS0foKr0R/9IvuoW6cuRqORSZMn0yi+KaKg5NTpRLKys3n06C5utxutVk9Odg5R0TGgkNDpVJSVOSnKzWX/3r1cuHIFgAP79oMoUWH1E3HVEqhQU1FeXund8r/Tr3JzCQuLwGq18erVKzweGb1eorCwnMhgNSgUuD1uBFHG5fJgtVYQHAJO2YPX60GhgMvXrlCzZgM++WQm1vJ8jhw5ikarRRJVtG7Viq+++prLl68ye/ZsFAoFUdFRnD+fSOvWzZCUen49eJDe/fpitVqZPn067Tt2RCkqWb9hPY0aNUaSVJV5VCB7fSCCo6yc994fTqEYga08mxJzGUFuBfhkenTuwvfHztKsVihWcznPnz9n0MB36N27N6GhwVRUWKmosFJaWorb7aF6jVgsFRV4vT70On1gw2q1uXjw4B4jRoygRvVqfgky8PGcOXy95mvi6tShVdu2aCpJw2M//BCVWk1+np8OW1ZW5vdV1q8H+D97i5YtWbd2LVeuTWXtuq84m3iWiZMmUlRYRN169ZgxaxqjR41m5szppKU/ZciQIURGRnLn/hOWLVuCSgn7f97PwYMHmTV9qr+WsVrRSP733+fxggzBwcFISom8giwmTZrC+/3mcfXaFSaXj8AYFETDBg1Ytnwahc4szCVe0jIKMPkK8fp8FBeVEqnXYjKFYLVVIAl+qa0sg9cjotZouXDhAhOmTgYUnEtMxGq1ERRkotRsxu1yoZK0lJeVV0pW/bWaVq8GnDgcNlRaAyqVmiGDh5BfYcVll7BYKygpKUallgiPCEOh8A8YDQZDgNA7fvx4duzYQePGjWkHexVXAAAgAElEQVTfvj2yLFNRUUG9evX49ddfCQoKCviM3W53wKsXHByMzWbD4XBgMBgYPHgwbrcbq9WKzWqjpLSE2rXq4HQ4uHnjBm1atcFcVoHX4yEqKhqH04lBb8DttSGIIiEhIeTk5DBo0DvE1o7DK6j4/PPPGfBWT7yVn7u0pBSj3sCkxUuwKSQGDxqGTqcjfkpDJJXkpxmKVfeqEMj4FZUSJpMWFH4aNQJ4yv13XES4hNkMokJJkNGIzwuCV0YQJSwWC6bgYFq2bsXI0SNx4SU3N5cysxlkaNqkKS6Hn+Bcu04dli/6AmRITcng3o1bKFVqBKUCW7kDUalEUkpotHq8Hi+C4Je2BgUFBWJ8quiGN2/e5MCBA7Rq1QqdTocgCLx48QKT3lhJfhTwOBzIosDXX32F3W6nZs1YbHYb3bp1Iy6uAbGxNXmj4xv06/8W169fp7i4lNCQYISqnLTKJU1ISAj4fP77rzJKAGD79u0IgsCECRMCJNLg4OBAI1RFGq3yvUdGRuLxepk1azah4VF4HA42/+v7ABVTVAsEmYJYtmoxiFTW34k8fvyYLVu2cPr0aSIiIti8eTOSJJGYmEjPnj2pW7cuAP3796dr167Url07MPjWarWcPn0am81GeHg4Vqs1QGX9X5//8541uTJTpCrfpLS0lEuXLnH92nUuXrrIqi9XkZ2dg6YSjVw1Pf1gxAhQgFwZbKEA1CoVCkFkx48/ohRFcrNfkZOVgwIoN5ej1xkoyMuncePGzPv0M3w+H6dOnQoY/YEAnroKN92jRw9kWaZdu3aV5ugQZHxkZWWR/CiTzMxMBg8ZTGpqKlUZybGxsYSGhdGlSxcEBZXBfB70WjU2WwXbtn3PuQtnuXAhkWt/X2Hm7Gl4ZRdhkUEcPXyEouISdu/6Cb3eQI3YmvTo3p1dO3dx+/Zt+vftg6QUsVhsRIWZsNuctGjxOh9NmsKgdwczZuxHhISGM2DAO9SoVYvIqCgWfPEF1y5fY9fOXfhkH02aNEGlUrF3715evHhBQkICMTEx/smJw0FqamrAvK9UKlFr9YwY8QHffbfZ3wCMHIXb5aZ3796MHfshQ4YMZtSoD9BoVLz77kBMpiAia8QybtIk0p4+5czZRN7o9AY6vQqHy4dPoQAF6MLCqFW/Hi3bt0ev01O9WjWKC4vo2aMn+PwH9sPkh2RnZXHkt8P8eeoUFWYzD5If8suvv5CXb+HS2b/Iy88HHYgIqFHhVamoMBdi0IBKG4LC58FcUkSj115nztyZ/HXpCtk5hWzbsZ1ScxE6HcTWqE5CwjHeHToAbZCS+GavU1ZqZuuWrdz+5xaTJk3g99+PYAwy4PG4AoURlU0FKg1uj4fc3FeUlJjZvn03l5IuYTDoMZeW+YcAGh2du3Thjz/+pKTUzLy5n4IILo+Lpq815WV2Fnfv32PS5ElUWCuoVqMaTpcLtUrF/AXzych4zoIFCwgKCiI4OBi9Xh8AqwQHB9OvXz8MBgOHDx/mypUrzJkzB61WS40aNbh48SLPnj1j06ZNGI1Gbt26hdPppKCggMTERJo0aUJycrLfh+RwsWPbNoqKivDJMurKw+7tAQNwe73s3LWT5IcPmTp1Gi2aNyfIYKKoyIzTaUdWCIgKLbIMFosNlcrA+8Pf5fbthxz89RC5eTkMGjSA0IgY/rV5LSmPC8l5lsnxY39QkJ1Nx+7duHbtMlcupnLp8j8kXfqL4CBdQMrm8XiYMGECLVq0YOTIkfTr149atWoxffr0AKRj48aNXLt+jZPnz9KjXx+atmxBn7f6MfrDMYwaPZrmzV5j7MjRqBQiLouVv5MuU5Sby+qv11K/bi1MakBQUWGzE2rSIntBrYQ69eN5nprM3p8Ocv3adX7//Xc6dGhPo0YNmDjpIyZMGMvUqRNo1qwpgwe/A8DSJUuw210YDGrKyqyIAAoV6E2UlpRR9CoTDaAQtTjsTux2J3kvXwASbtSUlZt5/fWW+Hxe5syeza1/brNp0yZycnIAaBjfkPv37+HxeqhZKwYQcLm9qESosNrIyi3GXg5qnZbBw0eRdO4k32/aS1paOtOnTcFmLQcE7DY7IaFhRERG0n/A29y7eZPrV65w7PgxBg58B5VSRBQUiIDaEITN7sDudCKp1Fgq/MGmkZGRtGzZkt8OH6JN69f9uTr4s+ZsVhsNGzbl6NHfuXHrBZZSGx8MH0tklAmb1U1FhYunT9PZv3U7l65c4/GDO7jdfiyzBIhe8IgaXmY85VnKS9yCCrxOXC5wuT08ffqUtLQ0EhISuH79esA3GRISQllZWQDpPWrUKIqKioiODEcE9FpNIP+nuLAIc1k5SpUGFAIfjByFw+GHS9y4eYPp06fjcDgwGo2Bgcmff/7Jy5cvSUxM5NixY7hc/olufn4+SUmXUak0VK8Ry4EDv2I2l7FixZfcuXOb0aNGkZOTy7nzF0j66y/Gj59IetpzDFolTocPvU6N3W7D4XLx57FjlBYWcvX6dY4d/52QYC2y101JiR2n3YEhKBi93khMTDV69OjJvr17SUl5wpo1a6iosKBU+ifqERFB2OwuTKGhiBK4PV4klR5TiBaLDdSiEZ1BQqdXYre5uHD+HA/uP2L9+m8xmYJJuvQXoCA8PIIbN2/Qrl07wsPDMJvNpKQ85tChQ9y8eY/Vq1byLD2N7t270/GNjnz22Wc8SUlhxYrlnDh2DLHKq+nz+YtXUfQXkRFRjJg0hcnjhzBk8lTqNmpKj66vgSzQrnM3du34kcysHP71/Q94vW7iGzXgiy/mMWXKBEaOHEFEeDgjRnxA8+bNCQsNY+aMmTx69JhN323GabfT5vVmGHQq8vMK6NWzJzabHWQZl8tNVFQUJ44dx1xezheffk7my2zatWnN9CkTmDhuNBMnTCAmOoYh777Lm127IUkqwJ+BF2QKRpahpLSY6tWr8+67g3jyJIX+b/ULRLH8/fffPHr8mBnTZxIdXY2TJ09z5fIVft67l6ysVzx//gKbtQJJUiIICoxBQSglCYulAkmjAZWanFe5OOwOZkybQ73aDfhiwSw6duzAypWrkGXQ6tRs2bIXl93L5u++w24tp3HT14itVZfde3bxKi+frl164HSacXt9ePErflRqEUFQk/rsGZcvX+HUqdOc+ONPmjZ7jerVq6NWa7hy9So/7fmJpMtJ1KpTC4/PxYuXL/jzz7OUm+3oNSGISAiGIAYOfo9Joz5iyISxhMREMLh/f5B8jP5oJAcO/ERGRgY7d+4MNF4As2bNIiUlhTFjxhAUFEStWrXIz8/n/v379OrVC1mWsdlsgYHdunXrSEtL48CBA/Tu3Ztq1aoxdOhQ3n//fcaNG0fD+Eb07t0HgAHvDOD4ieNc//sGkyZOICQ0mGrVotGoNZXNuoBCEMl+lUtubh5r1qzDWlFBetpTPC6Hv7aURNxuL+UWC4d/O8KBgwlkZWVRUWFBr9djd3hIT0/j8uVrIINP9oGkxO3xgcJvgSkpfIrXDQISiKAMA5dHZteOQ1SUVyD61FjLrQhKwGugzOJCp9czfPhwTp06xT+3b/Pg3j2GvDuYx8nJlfEMDtRaHRMnT+ZB8kOmz5hJ8sPHzJw+jWdPU1GKCmwWKwajEdkn43DYcTsdqCQRlegO+LnKysoCUUc6nY7IyEiSk5O5ePEiBw4cwGQy0blzZ6w2K8/S0zh37hwXky6xePEiTpw4wbBh71EtphqSqERUCEiCErWk4ue9+9BoNJxLPEtYWEhlJJI/UqPKJ5yXlweCgMvh4MiR3+jbty8APXv25OTJk9y8eZNz587x4MGD//KDVfkZ/ZtBgbr16lOzZi0OHTrEk8ePeG/4++zZuwelpCQyKgJLmZWG8Q2YMnEaOTk5nDp1ioMHDxIcHIzBYAj4Yn/88UfS09O5c+cO8+fP586dOzx9+jSQJanT6Zg5cyZ2u53bt2+zZ88edDodGzduZP/+/f+Vz/a/PP/nc9aqzO1VplqTyYQsy7x48RyLxYJBr2fOx3MqN18Kv4FTp2P48BEolZVrW5d/IqDWqAgJC8PpdBISFkaDhvG0bt0ag9GATqNDUCjo0K49TZo0pbCggL+uXsPhcDB+/PhAbktVHo1arSYqKoo2bdqg0+mIjY0lOjqK2rVr4nZ7qFO3LjdvXSEj4zl9+75NaEg4jRvHgcLHo+QMOnbsQPMW8f5tkiiiUIAse5EkJS2aNycnK5sScylTp06lU+fOCEoRjVZDZpafevnOwIHUrlUHtVpDXFwDhMosm2HD3ic7O5sePXogKUWQfei0ajweLyq1GpvNjsEYROvWbRAUAr379sVkCuLZs3TCw8NY9eWXGIIMNG7cmEePHpGamkpcXByLFy8OBCSqVCpiY2MDYYJej4tWr79Ow4bx3PrnNnXq1GHVl6sJCQn5r0BZSVLRtm079HqJ+vXr4HR7ePrsGQ3iGzNw8OBAaLBS9GdBqSQRjUZDi9dbEl2jpl+22qIl8fHxqFUqYmKiuXPnLunpabz55psICoG4+HiGvfcer/LzuPTXFfRGH2NGjEErheIV7UiCf3qkM4TTsEE9BNGC1xdE61av0bZVU+rUiedJagrJKQ/o1asfr7/+Ol6PTEREGOHhoQwcMASVpEKlhj59BpCZ+RJzeQndunXh448/RoGCOrXj/Kv8yima7POhEH2YTOGkpDyrzCQJolOnTiglJTEx0Xg8HrRaDT179CQnJ4e///bLtfr07E/NWrF06PgGQUFGMrNe0uGN9nTo2IGGDRqgUIicu3CBYUOH8expKr16dGfGjBkBkEurVq0Av668du3avPXWWzx+/Biz2UyLFi1Ys2YNNWrUwGKxkJWVRVxcHI0aNQpAEYxGIxkZGTRs2JDWrVtz9+5dHj5+zBtvdKB9m7bIsj88HNm/CR00aCBp6ek8fPyInt17sHr1V3i9bvQ6LW3bdECn1yIqFH49uajA7XLx4ZiJPH78ALfHwb82b8Fo1FO3bg08biguyuNJyl/06jeIFs07IkgV1KrdiKdpaRQXZxAUFEPr1h0JMf47WLe8vByDwRCAkMTGxtKgQQNq165NgwYNyM3NJTcvjynTptG/f38QBARRQCn+O8y3ZmwsCqBhfDwv0jO4deMmeoOOiZMmIivUiC4bOmMwtevWR67MIoqKiaJmnfrk5mRRVpTPW++8w8QJEwAZpSjicLhwupzoDXpq1IjFarXi8Xpo1KhxZa6QtlIvZEX2yUjqCOrVr0t0RAiCrwJB1GEyBdO4UXMiInTgdaDSxtC+fRs6deqE1VpBdlYW1WtUZ+rUqQiCgE6rZe/e/cyaNZOmTZsgKr143F58Pg2S0odBryKu4RtoVR4aN44jvvEb2G3lpD65ydxPv6BDh9bIXqc/ZF2GRo2aEFe/AQ8fJmMuK2PIe8OIb9QQl8eDWq2iZs1a+OxWtFodGq2W6GoxiEqJdu3bg0JBaUkJWVnZ/s+nEHG6vGjUfohUaUE2L7ILsPtEnvxzjqYtXmfomLG0aV4frd7Ak/R8gjQKxk6YiF0MomHd6sRGR2KMqYlG8FAzPBi7NgyTVkmd6uGE1WlOs6Z1iQ4N4+GjZJ4+fUr//v3JzMykZcuW6HS6AKmwbdu2/s1EJe3trbffpmad+mgkBV4fyC4XgkLAaDDQuFlT1BoNKkmiV58+PHnyxC8B7v//2DvzOLuKKvF/q+7ylu5OZyeQBEEI+74ExEEhIAFEQUGBnxI0wMgiAoIzyKIoqKMgjiIqKAiCiAuMKNuouCCr7ChrSAiEQPZe3nK3qjq/P+57r1+HRJYZNc7nfj+fTl73u7fuqe3cOnWq6hzEv/zLv1Aul5k6dSrveMc7WLJkCQsXLiSKImbNmsW8efOYMWMG48eP54WF89lkkxkc/N73sXLlKv74x7tbHu7D2XDD6RxwwP489NCDLF22lDlz5rDddtuzzXa7EGiPNI2YNnUDyuUSjSjigYceYteZMxk7bjxjxk5g0qT12HabzSkFHs1mg1K5zLjxE5g9e39WrFjJc889x5T11mOPt7+dGZvN6BxyEwR50PYNNtiQbbbbjCip09uzEdttvxl+qUHojWdMf5V99t2NgZURS5a8wls3ns6WW2zF4NAgO+20M9WeHq6+6gecf/4FTJo4sRUTrMTBBx/EM888Q39/Lx8/+WQ2mbEp+83ej/UmT+bPf/4z/f39fPK0T7LppptiWrGJrDGAw1iDJ5BEMTooo5MU8Ty22GYHxvT3sN/s2QzU6vzpvruYOHk9Pvaxk5gxYxOcE9JWvD+tNTvuuANjx45lk002YeLEiTz77Dz6+vr4yoVfRWkf31OIE6ZN24CxY/rypV9a8Z73vIfn5s/nySeeZL0p63PMccfy1hlbdGLTWZPhacVuM2fS21PFteN2ihAEIZu8dRO23GpbZs7cjc0225QJEybwgcMOY0x/H3vssUfrxNQXOPSww1hvch7v6bAPHM6zz85j3rPPssH6Uzj++I/RbNTRSuUeGgWVapW3bLQRYRAwdtw41pv+FsQmnHvOZ+kt97Httpuz+OWXmDptGrvssisvvLCIPz/5CFtttQ0HHHAg1VDz3oMPZt6853ny6Sc49P2Hse22uzJjxoZ4+DijMFmMVrDrrrvx8pIlvLLkFQ77wAc58cST6O3NveaDA4OMGdPHoYcdxvQNN2TLLbakVCqxatUKpm84jWpvLw6Hr/PtHZ7v4xoN+sb0sdEWM+gpl5m24VTCSomHH3qYWq3Gpz71KarV/NyAnp4e5s2bx1ve8hbOOussent76e/vp16vs9deezFx4sTOqbU77rgjy5Yt49lnn2XjjTdm7ty5nThj7YNfjEnZZuttqVR7eNvuezBlvfWYP38+W229Bccc81EmTZqAUpIfxgaUg5BdZu7G1ttsSxCE3H3PvSx88QWOOurD9PePxfcU1jk2WH89Nt5oIxa88ALPL3yRA/Y/gEMOOZgw8Bk7tp+nn3qGzbfYjEq5zPQNp+P7ionrTWb8xIlM33QbttxiGsrW8KUXm1kmTgmZv3CAUlimf6zPpP71WH/yRvhVwddlJm8wnQmTJjJ23Fgee/wxlix9hfe+970cuP8BKOfYZptt6alU6J8wgYP235+BOGLxSy9x4AGz+ciHP0zgKRyC0nk7njRpEtOmb0wYhmw6YxPG9fV0xrvTp0/vBP2eNm0aU6dOZfHixRhjmDt3LhtttBGhH1Aplxmq1WjGMZMnT+Kss8/iHe98J8YYJq03Kd8vv+FbAGHSxElstcWWiMDGG2/cWmVmUdCJ4zhhwjjWmzSJsFQiS1K22Gprpk+fzrhx4xg/fjzz58+nVqtx5JFHstlmm3VOt2zH/JwxYwbTpm9AtaeXWXvvzXPzFzB//vPstNNOnH/+BZSrFdIsY7fdZ7LpppsSRU0e+/Oj1Go1jjjiCKZNm8Ymm2zCc889hzGGk08+mSRJOPXUU5kyZQrPP/88y5cv58QTT2TnnXdm6623JkkSHn/8cZ577jnmzp3LuHHjOgdnbbDBBqOCaL9u3vSh/39H2rFesizris9ipN4YEmnHsRArN954oxxyyCGycuXKzr1JkomzIlnqRKwRa1Jp1IfE2EwysZKJlVpSl8yZPB2bSaM2JOJG4pi1Y4R0x8saHh5+VSyVPH6VlSWL4zwOhAxIbbgdm8fJysH5csVVX5WD3z1HhocHRMRKbBIxYqSZNsWKESeZJGlDorgm1iQiYsSmsdSHBiVLYokbwyIukyzNnxU3G3LQQQfJaaedJg8/8ojstc++8rVLvimpExmoNcW2onJkSVPEpRI165LFsYhzYjMjSxYv6cRZcZkTMaPjCK1YsUKstZ34Ee26aMeLyLJMbBqJSCZJVJc0yeXqjk/nRCTJcklS24pklo7ENKtHkWQiMhxnkopI6vI4IoODK0UkEzEjsTOsiCRZKlGSx6RpxwmxJo9lEtcbIlYkiTMxIpLKckmTmkgiIhKJsXWRtC7WiAwPiThZIZm04pakwyLW5WUhqdSjxkjMjiwVJ6m4LI+/lkQDeRNxIkmaSip5PcbGiHG5nHn2rIhNRcxKEduUJM7vz1InzsmoOB1xnJdJ2ipPkUxcIpLUR2LhmCyVdiwSYxJ57PHHZe993yVWROpR0mmr3fE82rFR2nFWkiQZFbcuy7JODJLumCDdcYC6r41MKnGWSWbzvNjMiInTXMZW+TgRSY2RoWZDoqQpInkcnTSNxLoov8BZGRhYLkmc581a2yobEedi6RS+LBWT5fU6sPwp2fPte8gdv3tc/vu3/yXvevcBEstIbLbV47u126i0runEYRSRwUY9r1ubSXfUL+fyDCTNSNI4GYlFJFbqzSiPxxjVxTkrmXHiRMTkjbrV7yJx1rRViGSZlTTtjpOUSNb63WRdf49SyWInIstEZJkYlzfbyIo4GZDU1sVJLGkmkmV1EVmal7XNf5IkFedkVCyls88+R2bv9+68TK2ISYdFJMr7SDQsIivEWBFrGxI1X5DMiuQiRTJUz1qhujJxNpXa8ICYJJbGwFCrrq24VliZRmZkOE6kZloBglwmcaMmIlayJJLFixfL1772Ndlss83kj3ffK6l1EqWm1aetiBh5ZcGj8pWvXiR1ERG7Utzwi7LKikjtJRGzSoaHUxFTF4kGpCYiQ81MxGayLBVpZnWRdJnURCSJh0XSlRKJyJIhI2JdJ45Td1/ojtvmnJMnn3xSzj77bNl5552lHkWyohFJZPOemFdWrrxMHEvabIg4K3FUF2MSSdOoE3+s3bdWjwfZHdOo0WiIk0jidCgvX9duoyLN5ohcWZZIMxoSkVia8YDERqTeyONfmTQTcVaSel2yZlPEOcmS/LsoNS25cz0SteJDDg8NjIqjl2ampYXb3deISyORTCSLm5Kmr0hHQcoKiRoiJhVppitzXWxEjIml3VmjqCGnnXaqfP7zn891iWn1x/z1K2kyEoeorfuWLl0qVvJ+NNSKUdVdVyZLRCSToRVLRVwmpq0Xory9NwcGcj0rIi7LdU0elymT4aFXl30eZy1/tw4OrRRjYqm33heZE4nSXB90v+dWrVguJo0ladZzfe4ySZ1IMzXSTIw0orgT8y5/XirW5Lo6f/dmnZidzebIOKI79lWSRCJiWm0hE2MzqUepJMZJlKQdmUbkymvNZolkUV3EZdK0rjWmaYzECW29G5MozuOpxQ1JxUksIuISMXEt17s2FSdWmmle3ZHN4/ilaS7PwLJXpNHI22sU1yWK62JMXj6Dg4NirZVGIx+fJXEqnQJxIknSev83ErHOSeKsxLVcpxux4kwsziRi3cg7zBgzKmZjuz20+9Pa4maJyKgxYPt91h1XMo85muunZiNPN0ttK0bpkDgnYm0ezSxNmyI2EdcasyRp3scyyccqQ41Eksy0Xmm57rNxQ+rNruc5kbiZvyOHVgy3YiEmIi6VLBoWcZEMGZGGiBg30NXnFksjytvly0MvShS3KscMi2RRR/+mJu/vqbi87rrah5g073zGSCIizSy/JolE0qT1spak1SJiqcWJZCIStxpzmqavih3bHcezHR9zcHAwT8u4kbq3blRMt2YciXF5W2gk8ciYzuTv5NTYPLZfV0zAvI1ZcVkiYvN+3B6Lt8coq8cibMvd+Zw0pK2jkrjZkS1/z+f9Ymjl8IgibN2fZZksW7as0466Y8C289/OW3dM0Gaz2bmuexzVtl9Wj6/8elAib/IcyX84FkHI0owgDBkaHOK6665neHiY448/vrNMEQABYwXfk/YeSqT10017WU7nC/VGV4m2UrUaVAw6BnI5RKDWfJGjjz6aQw48hTkfPQilNIKlI1RHDtWV3mrpS75/JEtTgtba3RdfXMQll1zC/fffz8yZu/Hv//7vjBs/nkajwZgxvaNTl9dhzb9Bgx9xq93fKclOLlbPicYhrVW4AnSnoLp+QFBI59q/KmbXQxx5Vj2aiAQIAVry8zFFgzK5F8X6TTTVVnoOWmdoCuFa2kfa+s0Hp9uZweVneiL4nfrT0iWUioCg9bM2ZLX/W8J2Mutol6ax+Ubzp555lkUvvczbdt+dSqUHX7/RynvjtOtqVC13F5YanZOR60wrPxpU1vrsgbKti71Ogo52+YGoOtgQ5UIkWMUvf/E7vnTe15Fe+PznLmDW3u94w5tvbesZbfkVI2vCVXdeVq8KcSgcVvkoBN11gUXjtduY8t9wN2oLZr18mYQnvZ3CzrwIv9V2lPFBp/mP9I7c23lgftPA4AAf+9cTuPDCi3nLhtPIMksQtuS1PqIyRGdoU8XpFKczfJuvpzdeli/HIe+rI4Uwum+3n9tumbl8Gdr3cNahdV6nzz47j7lz53Lcccdx5Ic+hFYa6xxh60htrWDZ88/y9KJX2Gr3vZikIwBqfpU+08xl8qv4Lu9/mQ7RIngIsdL4LsWXlMTrxXMZvmRkXt6vA3m1yJ2S6jqI5ze/+Q0XX3wxZ5xxBnvNmkX3bRpercQAVHfOvTU/ZK2YrtTXUK60HzqiIR3+qDa7JiXVrW91t25Wo+4clfrI7bm+xbX6qMrAtTbD6wYiefsQlQL5vqY0bnZO53v66XwP33e+/Z3OPu815Wi0FGsnv9blMrXL11lcax+ldg7Xqj8ttiuPr/XuHp3z136/vPot1n3Pq/PSpQFf93hidZle3SZeLVP3/7kOGikB2+qv7ec6UILDG2mx7fahBGmVr+Tat/W8PA2FHtHTo6RYW7tdc7aszvWrFrAtBe+JxbWUbq5Pw7+e3v8Ka3yLrcYa3setljjy/0gqI3/t9L41JzcK2/kiU/lbLMCCa7V1vQLn8tOORRuUaDR6VCcSteakO3pboL0vw+o8vwrVeb/m6WTtC3GUOre9UY22xkHTX/l69b+9WkPBqNGhCKg3LBWvGmG+1jj4bz+MesP80xpr1qWtje+qc5Ia6FEn2XLprFcAACAASURBVDmX73nztGq9eN0/zFhLU0MY1onSCN+tT+ZqVKpVRg8Z23Ks3VizqcNrBbRWujO8JIqilltVUSqXRt1TGGv/94w16yye9kiNw1hHuVTGCfh/ByXzjzbWcBXi4QBbdZRbwXILY60rM+RxpCZMmECzGVOtVBkcqjG2vw9Uy0D4GxprmDRf5mRty1hTZJnBWku5nJ8wFycp5VJed/kxxhrlElYN1vHGTaLfNsFZamHf39RYA/IDB1obwIeGhhg7diyZMWh/pA4LY421GmuaPFbdihUrmDx5vfxEt5bxtiYKY+31ylQYa387CmOtMNb+CuugsbbOnwa5NqyxqCBfX96OBm6tJQzD1uZusMbg+V7rO4fvj1aua62PN1tR0moEXg1cCHYsePlAIwiFqD6WMByL9VdS1RMQC8rr9qyt/tIe/aIGwQtKOGPyQDsOTJZHfA+DXMF5nkeapPnpZa1N7ugupfE3aYRrUEqv+Rw96pI1dT/V+Ve9PrHVGj66ElYpjIKyyZ8Sa6i0Xx6U8DpGgYa2MSYhYFuDMTqGRT5IAQi7Hudahh4IFml1q7ZSV50cvlYu1jCYGm1pd3601ljJT5TSKmgZG6+r4P/HrHHI8erx+xr+3DbKNKgECFsGWtL6vj15kQ86tMoD4aZU8EThW0gChWcNlZ4KSZD3ay2udYzi62f0hMBq+kCxxreKBTQGJRmp8vHFjTJkUqWpSJ4Xq/w3rVxT8oFuhRE5DCFeq5fkYTl8HN6I6T9q5C5MmDCeJMlju6SZoaen0go66rcvwSoPi6bkcnkzPPxOv/C65H9t/dHdJsQLAIXSCtOKxdPeLN7e91spha2DlcDzfeI0pew01f7xJDhwpa5s5Z8dQGtA43e+VISAUj6ovDyU8kDpEZ3yV7qEtTaPddeKfdM+qUsheK0aX2MiavUPb2bO8/W0kHbLbBkka/p6LXew+h2vw0rqGAgacp2lu5Iod+5VXbJbKzgnjB8/EVAdT+Xan9El61qKTVpyStc1WevZAQlJa4KtIk1S8gmLshicytvKa0+zji6l19aaazCc/mqVr1kD/u/LNPpKD5PHaoTWZHHAiPFjgAztevL3mnKd/gQJqmUgKN0E15oE0kkrjfbEarfx9/oQlZeVcpBp8B1oB2lrFUjFKmxb5DeU8v+E1/OkNdfhX6/ZvzKyXOOfR0Y+AfkR+bhyl3hhl1Hlk0+2pSDlznBzTcm/6lGq/bS2Tlt9xDXy0us8+s0MJ96EDfT38RatVt/roDH2WvzTGmtha0Y9P7e5fRRqgLW2s7QlCPxOG1Rv2Ev2v0t+5H/+2fNCsqQ9vuzu3Hq1lqtA5X6l9u8KWnG7BKUUQascnLU4a8mMIQxD0jhCRChVKmvvDX/XBruaEPJGXkqv76LRDpH2qNPDacF4ruMJS4FKZ6ba68w6OaVQ7dnu1ihBtQwMIZ8AaHsmBDpGXt6+Xj0LN1rXtY21Nc0jrZ3R80EjxlqSJZSCUj7RpNp9wKH9NzPr9Dem03xdbqgJ5C8cb+QzgFRpz97ms9b5REdGTz4wchBjKWufwKYIIZ52YFLeqCpTvMas4RqqxgFKLLgUo3taxvFIDRmAlufH6Td3PC8IaSsvFSSPlk2rnXYJ4pTGsLqfdnQbDMI8LEgYtrzItqtFCjjJ0yiJw4oiQ5MHAsqNtZG8jejOtbfebg+CwjpBafWqwJ9eK06Tc/lhSgC2dSyzyhQeQqAkbxsul6RdU7mx1jXj3xo4arH5dIny8MhPk3XoLv/B2vtZu+90B8cGWhN7tuvKkfIfPUBai2X/N+P1jqDeuP+q/SkfkOd+Z0V3OXidSanuNuF5Hs1GRN+YfIDfeTev5Rmua/pqDV+PErnt41FdUgSSkraNNRIMbe+yXS0na0hwrbyGS2CNV/xPnvG/I9OrU7Ug7T6XMnqQavO/SQ+5l63rWmW7EkoY8di30pCgW3W8Idnba3sUuY7ULbXZOhybitOdmnstL/g/L2vyzo1GdRlrba+jIhipQUc+samaGFVufb8WI627HEeV56u33byaV/fx18vra7HrKm+0f/59WeeP7l8baZp2IqhDbqw1m81RexAArGm52v/BORWXy5GkeTwz271i4w1gsjzOjVKqdVJWjvY8/DAkKJUQcYSVCqVq9c09pGCdpxS0ZpDVyEy2vy4aav/L+Pj5MpDMYEw+CRMEf49lM/98aKUZbMXbAfKj0P9ez9aqo/Pa1Gq1Lr09opeSNM397ApsluHaw/K/g85un+bXNtRqtRrDw8P8k+4O+Idgre0YaoODg0RR9A+WqKCgoOD/Fv+0njXf91FKkWUpSmnCMCQMNc7l6+dVaxmObnnepDXT8KpVZd2sNnP0hs0cJfmP7QMVgzdIe8+apwXLSvwykE2gXM0j2uvuuZHVnU+rCSYovMDHOtdagqHyTfwqn532/NzjJq1wB4jDOsHz/9o+qb8H3eu426jRX6+J7gp4jUkPWeNnAVE4HBbbWtrYmqGVkb1p7Tuka/42L18ZWesi0nIe2NWeMfqp3X7QNWfmjc09Sde/3XdYZ9Daw7k8cKQ4QSvdtY/xb8gaOshaq0fW8ItAZ9dY5/Poa/IhtOl8llYTSrF4ToEf4nm0AnUatH7jnrU3emEugkDemnJJuwb1Vo3k5U0P9cWNeNFEOp6u7n0miEXIvUdrI05iSmGJvjF9CIKzuU4YqTrXSkOBGASv9dy2/N5acyGr/abasrZIM9vxqNmOLhJ6e3tbxpEg4hCXB84tl0pkxlCyPspTiJh8Jj+zUDK0D1WSrn2uSmwuo8q9Ce1Fi55YBN3xsrXzsrb6bh/33TbOent7W8vHR/ZwdHLapab/cVNg3TLpV9VQLtfqO4Bfb3r59aN1juqsLqCrfeTL2EeuSZJ833hvbx++73UCoq/u7e2W6bXKcfX330iu7IjGENOlPbp175p9F6/naWu6fk3vl1f7R/5K+urNyLSme15LJtf1RR72YITWnmyB9lKFdpsenRfTlYbtpJHvZny98q5W361m1tHlrkvrS1e6/9DO1V1Wo3XrmseEa75+zdeuqWWu7pu1nQtG/t41Adt+V6oE1zWWVV0/ry20jNLV3U8fuanrPf0m6qL7trUmsU45sdauo9Yl/mkPGCkoKCgoKCgoKCgoKPi/zD/tMsiCgoKCgoKCgoKCgoL/yxTGWkFBQUFBQUFBQUFBwTpIYawVFBQUFBQUFBQUFBSsgxTGWkFBQUFBQUFBQUFBwTpIYawVFBQUFBQUFBQUFBSsgxTGWkFBQUFBQUFBQUFBwTpIYawVFBQUFBQUFBQUFBSsgxTGWkFBQUFBQUFBQUFBwTpIYawVFBQUFBQUFBQUFBSsgxTGWkFBQUFBQUFBQUFBwTpIYawVFBQUFBQUFBQUFBSsgxTGWkFBQUFBQUFBQUFBwTqId9555533jxZi7TiMzVAKoriOUg5wCBZjBM/zMMZgjMFai3WCKKg3IpTnk1mHBZxSRIkh8CwJHk5BAoiAKNAuA5eBZNg0Q6EATdQcQmkwxuKUJk1TMicY61Daw2YZyjmyNMXT4ADjBCeQZina87HOobTCOsE6wYmQpClOwFiLLxHoMM+H0mQW0swSeJokquP7YJ0lMwkxmhCFMw7nHM5atNYIijRN0dpryaZoRgbtaRwQJQlKMrQScDHGGqzNSJRHIgoDuCxBYdCmSZKVUDiUUphkCK0FnEERYFOLiCZ1FnT+v281LjXEgUZSi5cKmcpACShBRSmRGAZMEy9JSdOEgSCkJxJopjTLKYEFxDGUZASeD014IUjxjKEkhiFn8nqxDu3ahW3B02RZhtGA5K1Do3A2waQNUk+hE4XONKt0gtGaUuSoBzExCSUT0nQCWmGzOsNeyGBi6cmWYn2fVAUYQEwdjzqLmprM9wlsAy8JIQPxnkXScYhxSKpRwUukdgW1huDrEs4ohtMlOAWiPWxzJZ621KVEmK6CpM4gVcrZELiUpi4RKEOcRGjfx2YNtIoZlhLWxATZMMN+hQwIs0GaqkSGwicCfLIsw9oMsCgtWJchOKwYBI0RwQiIUhgrKGvzujYWB2QOUuOwoohTg+97iBOMsWgRnFFAjLGr0KoXRLCZQns14nQYrcskkUYpQCdYEYwFpTVxEuH7GrAkcYznaWxm82dbwWYOrTRpluD7fq4FnGu1b41SCmtt53cRQUQwpBiX90dlFDbNECBTeVOxCM4ZPCXI8DDOC7CiMfpFnBhSl6cpOMR5eEohAta9hGYM1oAxw6A9rNNkqg4Cynoo/TJiB3FpD9qPgYxIAgIDyXACviZyGcrzcJJhsgSsQaOwxqC0JlWKxFlCVcyfFRQUFBQUFIywzo8MsixDKUWlXMH3A5YsXQoCQRCQZRm+7xOGIb7vIwJaa3p7q3ieIgg8rAOtoFz2EZfhK0iTGGcFrSDNHChF2ohAabywSpyBaKhWe/AEfO3hrCPwAzztgdKsWDmAFwbowCcxGY1GHSdtA9JSKpVwTlBK02xGAHiexjmhVCqRphlhGGCNAejIn2WGUskDJ5TKFZa+9BLa0yRJQuB5oBTOWTzPwzmHNRal8vJQCnxfk8QG3/fRGsQ5KuUSgR8g1qIEtNJ5mWlNoMFXIOJwSQK+h1+C1OaGb1AuY61DeR4rlq7ACzw8D8q+R22gTuh5oEGHPgZLalLQHp4fYJ2j1qiDE3zPp7dUpTk0RNUPEKVyY6tUQuGDUuAcPZUyJkrRIVRVgNYKcJT9Mp728H0f22xCkoxqJ57y0DpvzjbL0J4mKAf4qgSBBx4oVUKhQTeAav6jMgJfkaYQehof6C156FIZ04zwAA+wSQooxvaUyFIIfB8CIAQxk9CBRoceVgkwntCbwti+sWgNfgD91YkgHgqPsNIDovA8wBgIQ3xfge+D1hjjAEXgB6waXIXnB2AdjaZDewqJIpoR2FbeHQpP5UWYJAlhGBIEIc0oQqHxtI+xliRNUUpjrQPJpyQ8T+FphVhL4Pv4ShP6inLooZWipxQwsHIIrRQ+oDwNqLzMA59Go4nSCqXAOEM5LOOswfPyfqcQrHGIaJpRTKlUBjQKRblcwpgMP/QISz4Kl/+vQUTIsowoijDGEAQBWmuMMXieR7lcRmtNo9FAa02aWXyvhFYByvOI6k209vC0ZuXASlAOZ1NQDlUtocTm+aeMVgGhV6VS7iVNLUppnM1z6SQv5WbTIQ6cMXgaPBXirNeqAR/lha0KURjnMDYvplJfCT/QaE9IsgitFEEQ4gchOPCCgEYjwpLrmYKCgoKCgoKCbtZ5Y61SrgCQpimNZoMN1t+AvzzxBJdddhn33XcfzzzzTO5Vs5ann3maKMoH8fVGTJo5wkBjLKSpA8BYQ7lURmvV+b45XCPs7YE0BWMol/MZ/WatBi0DMAz83NgSx8KFLzBp4jiMMWRZRl9fHz1j+ljy8ssAlEpBLkO9htZQrVYQccRxQhDk3sCFCxdSrzfxwpAkSTDGoDVUKj5px+3nWG/qVJqNJmP6xtCIItI4xg9DnLWEpRKe7zM4OEy9XkcpiGNDEPoEAUSR6RgwzuRGL0rhtTwWcZK1ht3gex5KKSSKeeHFlTz88GOdOrDGgBMmrjeRRq1B1MgYHo4YN66XRrNBUm+AA41HGFagXsOKRWuPUqkEQUCcRjRNk/FTplCv1YiSBLQHSYZxBhvF4HlEcUZQDvPyp4lR+WC5HjcwNjdsvWoVSqW8jIBms8mLixcBuXEvIiRRkz/85jd5Pms1AAINzRTwPJqmiUZjTZ5+GJJ7P4F6nOc7qFZoxgmZcwTVCsQxFnjhxReJGg3IH48OWvU9VCMIVWeADxBFTQYHDcYaSkGJzGVkjQY2bRmbYZ5XcUCae1xyo97heR7jx44Ha8D36e/V6DRFjemjtzJirwYaUgtxFFMul4njGBGhp6cHaQkZ+AGlMCROYoIgN4jSFOLEsXL5Cur1OgDPPDOvJbfF98BYoVwq06zXGRweAuvw/Ny413j09lVpNmKSGJJWnowx+D4MDrbalq8JApVPdADNqEmWZQA0Go1OWflBQG24jjhaBmdApVJB63yyQkRwziGteo+iiL6+PuI4phyWSdKYLE0B6Bs/juXLlzNcH2bS+IlodP58EVCwanmDNIGMjDhJGKoN5dVRCvG83IbOMlA67yHWWkqVCn4QkGWQmBilJfceSm6ZeWFuFCNC4IOL0o6cvg4oBSWMM8RxxHPPPEMcRdRrDcIgxAOWrxqgoKCgoKCgoKCbdd5YE4Q0TQmCgCiK+MxnzuXaa6+lWq3ywAMPcN5553HbbbfhnOPmm2+m2axjrKOnp4xzBmMcngdBoNFYAhzaZWgRAl+DgF8qIaIgKBFbS+aERipUKz3EUYyzjnM+fTbfuuRSfK05+iNHc+m3LsMBqTU4YNXQIM889xzz5z8PgLWO/v4xGGOI4wTnBK01Q0PDeJ7HT3/6U5YvX44zhlKp1BmAGiOEpXw5nzEWm2WUSiXiOCYMQ7TngXOtZ1jEOcaOHUNPtYpzgu9rfvfbP3DFFVdTKvmIs2RJgskMzjpMnGJTi0kMlSAgSy0a8JVG+T61Rp2DDzuUR/7yKM00I8kynKK1TNDS01PF1x691TJioRqWKfVVwYfhrI4owfkeSgU4AU/7kBquvfy79PplSDN+/INrmL/4FfA1BAFOvNyksELgtTxuqaGfEM8ZMCk95Z5Om7BZCiKIUgiwdPkybrjxBgQIw1JrQJ3wb/9+Oo2GozwmwMWvAFAJQewyKn6VNAPlxWRZbg95AiHQXwbqTUxqKAch2oFLDJQqrFq6ip/88Do8J4gvGAzO9iIIveP6sBIjWQ9pMwSBSlnT0zNMoANMZmg2UoKePrxKb8f7QqsNRbVh3jt7P6wDUGSZwTqbL1tMEjIHhCE2iogTqJRaSwQzgxJLuVLBGEMYlrA2X04oTshsPqng6YDAD0iShNwGsXieYt6zz/DA/X8iGq7x4x/9iCzO6Cl7iAGcpVIOueUXv+SWm34BIqQpoBSNODdYq9Uy5TKUwhKC8KcH/sS3v/VD+seAsRkmM6SJo1QKcs9yWEZrnyRNGTt2LFkakcRNnGT09VexLsFai2u1c6VUZ8mjc/kSYGstlUqFLMsol1veOhWglEfSSLCpYeHzC7njjjvITEbmYtAOsQnYmIu/+s3cE02VMOhhTO94QOEMJLElDHPd41xuePu+w6QWZxW+ByW/mi+/bLUdmxrECOI0Ch9jQFd9sClBoLEuJbMJnvYolcpce+0PeXnxEh7408Nce+31NKKUSePH/Q00aEFBQUFBQcE/M+u8sZYPPkOE3Lv205/9jBNOOJ6jjjqK448/nu9973usWrUKz/MYHBggTTNOPeVUfnvH7/nu5d9j5szdeeSRx/MlYvUal116CbvusD3/esyxLF+2HKUgLJW4+KtfZcstt+LEUz7JkhUriUWB0lR6evnvX/ySP/7hTm7+xS+5+uprGT9+PL/93W855l+PY6999uaOP/yWMf1jSbK0I/eVV17JzJm7MWvWvlx//Y9z71wY0N8/huHhGp7nkWUZLy9ezMknn8w73vEOZs8+mMceewrnQHsezlkGVw1wzDHH8OSTT7Lf7Nl89CMfYf78+Wjf56VFizjvvPPYcsutOfXUT9JsxqxaNcCVV17J5Zdfzsc+dgLDQzVKYYAyBi/wefj+Bzj4wPey4zY78J1vXUE59GjWDXGjgWk0OPaoDxGUS8x/4UXuuvduTjvjk1jJB81/fvRxvnjBF3n44Yf4+c9+zk033MTO2+/AT37yIwZXraAn6OWJxx/noIMOYv/3HsgVV19FnBlOnnsMP7/hRs495yyIY8b19VKtVCGFu+64k732m8XZZ53Nww88SCnwuf+ue3jwj3dx2ZWXMPvtu3Htf17My8uXYK3w5a9cxH77vItddtiRn/zoegQYP2ES5UoPAlgRnBNEHBMnjuNrF1/O3m/fi698+VwefTjCZfCz6y/jT/cvxPdh+fJFfPTok8jSvH0cfdTxbLn5Tnz2rHO44tLLiJopga9RJgNRNGsxQytWEZZLfPM7V7Hn3gdw8AcO5aFH/kJeSmW8wBFW4P67fs+Vl13Goe95PztsNZ07f/cbxvT1AB6/ue3XvOfgIzhkn1nc9av/ZtXgECeceAILX1zIxf95CQNDQ/hBSBRHDKxYwQn/ehzf/e41/Mtub+e8s86i1jD5zkrruOXW29lv9gEcdOCB3H/fA2itWLZsGWec8Sl23nkXDjjgQB55NPeUPvLoYxx++JHsuecsrrzyGgI/3wOmBSq9fbyyeDEXfeWr7LzjTA7c/0Ce+stTaK1Yb+IktABa0Uwss/bdn8OP/BA/u+EmROUOK1/7JFnChV/+Mj/76U848YRP4SnhlVeWcfjhc9hpxz0455zP43leZxlvvVEjCAPuuusPnHP2p3nfIQex++67cvvttxNFEXfddRff+MY3uPzyy/nWt75FuVzmggsuYPvtt2fOnDkMDg5y1113MXfuxwiDgCyzrFy+kqM//FFWrljFtOnTW3s4G5xxxqnsscduXH7Jf1Kt9IADRchXLvwaM2e+nTlzjuH55xdhjEEEwkCBwH33P8Zll13BLjvP5Ji5JzF//ipoeeqMARNnXHPVD7j3zvtxAplx/PCHv6Sxajmnn3oyP/3Zj9l2+21451578sijD+OMoVarMXbseL7x9Uv4rxtv4ug5x/HK0trfUbMWFBQUFBQU/DOwzhtruScgRgGTJk1i/fXX5/zzz+fuu++mWq1irWXOnDmsWrWKJ596ijiOWfTSS5x++un86le/Yu4xczn1lFNZsXKI2269lauvupqzzj6bvjFj+MQnPoEIPPbII9x5551c+JWv8Je//IXrfnQD1RJg81n1cRMmEAQBy5YvY7tttyWOY+bPX8B2223HW9/6Vi74whdYObCShQsXsmzZMhYsWMhNN/2CL37xS+yzzz58/etf5+mnnyZN82V8/f1juOmmm6jVhrn95ptZsmQJn/nMZ9htt9244orvoTWkzYiwVKZWG+bZec9yyimn8MHDP8hLL73EZz/7WYYGBjj00EO59dZbOffccxkaGuS88z5L/9ixVKoVqtUettp6a8aN62fZkqUEvbln6otf+ALH/etxXHjRhdx8y82sXFGnp9en3NvLwMoV9Pb20mw22HqrranX6/z2t79FAXEUMW/es9x3730MD9Q4//zzufDCC/m3T32Kz33u8/lSTgxfv/TrvOtd72Lu3GP4wdU/YNGiRUxZbz3G9Pez3XbbQRjy0IMP8tLixXz9a1/jjDNO58gjjuSee+7l1FNP5ZFHHmN4eJCPf/zjXHvttRx33HHc8LMbSJKEm355E9dddx1nnnkmn/vc57jqqqtpNiOGBgc7y99062AI3/dZtGgRv/3tHZxw4gncetttnHbaaUQRvPTSYqZOm4a4vC6eefZZ6vWMKy67jIULF/Ld736XcrnMNddcg7WW4eEYXa1CmlKpVHnuuXncc8cd/OSnP+GQ9x3C5ptvzhmf+hSvvLyC1qpTGrVhVq1aybXX/pDDDjuMz3/uc9xw441ECTx8/58499xz2H333dl00005++yzefzPzzBlyhQmjJ/A2P5+xo8bD0BvtZdKtcKTTzzJddddxyc+cQoPPfQQ++23H0bgnvvu5eKLL2bmzJnstNOOnHLKKSxYsJCf//znzF+wgE9/+tMceMABXHfdD3ny6ae46KIL2WmnnXn3uw/kkku+wXXX3YiJY5588kniWo3BgQEee+wxLrzwK+y+225cfvnlAAwMDqB8n2WLXmLW3nsza9Y+TJs2jfMvOJ9bb/kVngdW8vY9depUarUau+66K2macuUVVxIEIeeeey6PPvooP/7JDQwMDlAul+nt6UXE0Ywifve73/HBD36QE044ge985zv09PSwdOlSrr76aq655hq23357Lr74Yh555BG++MUvsnDhQi677DKmTp3K439+nLvuup9qT5kf/OAH1Oo1/MDnvnvvJY5jfnTddSxfvoJzzz2X22+/jbvuvosggLvvu4sHH3yQc889l4XPL2Tu3Lk0m02MhVWrIpSCM888k7vvuZtLv/lNlFbceecfqDfrrUNOoNTXx5NPPsniJS9RCkuUS2WefOpJqtUqixa9xLe//S2uuur7zJgxg1NPPYUkS3nsscd44i9/Ycp667Fq1Sretd9+TJrY9/dRqgUFBQUFBQX/NPj/aAFeD/l+LoXSiu9//0pOO+2TnH766dRqNTbaaCOuvvpq+vr6GB4aolQqsWLFCvZ8x5587eKvESUxP/7xT3h58WKeeuwxvnnJJey6xx5st8seHH30RxgervGFL3yBY//1OGbPns3sQ97Pxz/56XxZXutktt333JMtttiCGTNmsO122wCwxx5v44QTTiCO53Dwew9m8eLFlEslgsAniiI233xz9trrney77yymT59OtdpDGOaHiFhrGTduHI1Gk3q9zpw5c5g9ezb7HnAAN95wS75XhnxvjUi+r+e0U0/jiI8ey66bb8mZZ57Jgw8+SLlc4pprrmXDjTZmu+225WMfO4F5z87jA4e9n/kLXuDEE4/DmozJ608CZ6mvXMnes2Zx8KGHgXH8/t7HmDCxNy9kJUyePpVvfOM/2f+YT/P+97+fe+75PaVSCEpRLleYNHkyg0OD6EDh+z6/+fWvqfSVuOoHV3DP3X9km3e9E5MZTjvr08Q+LF++kmUrVnL2+Rdw6fcu5cD9Z4OvEWdoZI4bb7iRE088iQPmfpB/m3sie+2xB9+85BI+ctjhTJk0me/dcSOVKOWOq6/j1ttuZ2yll29/5ztstfGmjJ04nocffZRSuUK5UiVORrya2tdkDUMQhpx11tnMeuemzNx2Coee+BN++cuHKZVCFixYwLSpmwH5KZ9BGPDc00/xm1/dTrUC+22/etEMSgAAIABJREFUAX95/iT8oERPj0dSr1EphcTNOlmS0KgNkaZlTj3lJKJsAWedfhkTJ04EA0a/TM+YkDAU9tvnIOZ85OMQzuOOe+5Habjggv9giy235YxPncpE/2j+/YQTeerpJznzrDP5wGEf4KNz59BMYiqlMs24gbSW0J5zztkc+M6dOGCPHdj1sJO4+eY/EM17lCOOOIKjP3I0Y4OM+x84nIsuupipU9fnqA/P4f3vfz9Lly/lnnvvJU0yFi1azNnnnMs2W2/FlCnTGTduPM3mCqasPxnPU/SPHcM3v3UZQclj1qy9OOKIw2l3Be3B1T/4PkGpzNnnnElqa3zzaz/kO5ddxoGz98NTHo20ycEHv5cdtxnmmGM+CH6dRx55iBtuuBk/gHI54Mtf/iL7ztoTZy2el/exeq3GkUcewZEf+jBpHPPMvOd5+umn8X2fnp4eLr30UiZMmMDJJ5/MJZdcwp577sk+++zDEUccwZlnnsn6U9bn17/+NbvvtBN33vlHjj/+eGxrCWOaplxyySVc9d3Ledtuu3LgXu9kv3efBAq+9KUv8fETT+eA2ftz8Hv3Z999D2DevIW8/W3j6Omp0Iwi4jjmogsvYvq08SxZ0WDp0mF6q71IZvE1gGCdo9zaXwtQKZdRYYmVK1fwb+ecyS4778pFF13EYe87lFq9zsDAAOuvvz4HHfwettlhR4497kOt5a8FBQUFBQUFBSOs88ZamqX4vo8TR2OozrPPPsv1P/oRtVrMggULeOKJJzj//PP5j//4D0BhbH7K2+abb945EdJZi7GWzFh22nlXsiRj2vTp3HXXH1ixYoAVK1dy2623ct+995DqMj3VCmkGzhqUFZzyqPZU0X7rxEGlmDFjM8phCXEZge9jsoxms4nneWy11ZZstNFb+MhHPkpvbw/Tpk3HOUuzGVOtlvPlX/U648aNZe999uWm23/Hz3/+cyLjc8D++xME+cmF+X62kLH9Y9lss81wzrLpppsyMDBAo9Fg1qx92PitG+fybDoDZy3NZrNz0mSa5odEpElMoBVhT5Wenl7+4wtfolqp8sy8eQj5QRUlSfADTZImDA0M4imoDQ3TU+1BWocmLF++nKlTp5LEGVtuvRXlngrGZuy0/fa8MH8+m+25GzvvtBM2SUlQfPSjcyn5PtQS6s0GlUoVsgztqTw0AI7Zs99FyQtIag3OOON0Lr3iKgTFhImT0OIRBFU22WQGURTztp1n8ptbb+du+T2C8PQzz4CCeqNBb18fqbEIQtXLjeJKucrOu2yBEsMmW+3AxpvczeDQMsb6vUBKZiCpNSmXSyhlKZdLhCFkJt9KNmPzzbECjWZKb9kHG1Mul3Kv0cyZfOAwn49//LPo6qPsutORDA3FTOgto3wHZAzXakyYMAFJQXkZ/f39IDA0XOOkj5+M5wNpysmf+AQ/+MOT+b7MOCKKYyZUQqyzhEFImuYHjuyxx0xEOSZsOJ1tttmGF198kf405QNHf5BquQQ25dhjj+Xqq6/m2GPmcvMtv+C//uu/8MOAWfvsw1ZbbsWxx8zl8su+R5Y5pk3bkI03no6zIYvmz0f5Hhtu9BaC0CNJ8qPxd95lF5a8spggDPKQCwMDZMZy7mcvwA9jlrwUs+1229NoGnrGCL3VHqwxaKXIUsjiYXbddZd80qEZs+uuOyKS7zlTSucnVIowYeIkxCmyNMMPQjbZZBPq9TpjxozBWssWW2zBkiVLUEqxzTb5hEkYhuyyyy5Ya/nc5z/LUUfN4f8dehgg7LPfPvzxnj8iIgwND1MuV9h8iy2JG03K1V6223ZbhodhuDbI9T++nvvufRSTZmy11ZYkSZ1aLaa3t0yGx9FHf4Tvf/8qKqWMvzz1PLu9bZ9WmAAf7QHi8D2PLEuJk4gsTYmTGMkMiGbSpMloPMqlCs45kihi+obTGRwaxM+PviTJIAz+MTq2oKCgoKCgYN1lnTfWwiAEhDRNuOXWW7jqqqvZfPMt2HD6Wxk/fjybbbYZf/7zn0mShEqlQhInTJ02LY/FlFmsgcmTJzM8NESSZMyb9xxbbLM1S15exgcPP5wf/vCHTJo4gfe/733s+659MTrk13+4BxToMAAn2DQDpfJ4bk5I4pi+3l7EOZTkXgElUC6VWLJkKQMDg2y66QxOOukkGo0Gl19+Offeew8f/vCHMca1TsvzieOYwZdf5jOf+QwALy0d4txzzuF9hxxCb0mDaHr7+rDWMmX9KZ14av39/fT19XHjjTdyzjnnkGQZjXoDz89P2ytXytRqNZwDL9T4XkhSG2ZoaJhlK5Zz1ue/hGTCUPZNFi1ayfTpE/AJIamjfU2z3iD0PSZNmEiWpljrGFi1iuuvv56JEycSlDwazSbKA5tahgcG2GrzzRnT28fCBc9jowTjl/ne9y5n+rRpHLzDTIIwyOtSDEkSY7IUEce9d9/FflscRsnz+O7llzN2/GTEOkphKT9y3mT4ns/UadO47fbbmfOhDzFjww0BOPfsc4njlHKlwqqBAYJW/pVApVLBWseSJSsYu+kkpGF4+pnH2Xvvt5PVYaONpxL4MO+FxZTKIcYKzWaD5SuGGds/hmpPD/Oem8/A4BDTp43HZRGe51GphIwZ08eC5xeww/bbc+on/h/Lhu/l3bPO5G27vx0vm0ZlfINquY++vl4GSykmAfw6vX29rBrI0Drgd7+/k5332w8bRTz48IMor5clS5dgrKWvp0wcxVQrZRSKgXqTUrnE888vYpfN14coYmBgkHHjxlFf2uTWW27hqDkfQmuPyy67nMmTJrFs+XLOOOMMqtUqw7UaZ376TN73vvfxxBNP8fWvX0yzafjSF7/MJd/4NscedTDjxo/DL4fMX7CAZhRT7SkD8PTTT9PT04v2PJpxxJQNpjBhwhLO/9y5oDLuv+8ZHvjTnyhXfJIkolyqUq1WiONVeZgMZ3nwgT8RhBCUyjzxxONYlx9UA/mBIZVyhWYjotmMESvowGfBggXsueeeLF26lI033pgwDOnt7UVrzSuvvEIQBPT29vLwww9TKpXYacftedvbduMLX7iAM844ndDP286YMWOwxjBu3HheefkVtt5yC9zAAPMXPEdPD/T0lDl6zofYdZd3Mqa3h1tuuY23vGUT+vry/L/88itcecWV3H33HwhLjmuuvQHnSvjaQwWAA0kTevuq9PX20Ww2GD9uPIODA9SH60ybNh2TWeIsRnuayZMn44Dly5YTBD5O7P9n77zjraqutf2suutpnM6hd+kgYu8CARUFK4qAgj0C1mhUgql2o0SJJpoYjcGS2IJYosau2CKg0pEOp+++6pzfH2ufzcGSm9zv3lzvzX79AbusPedcc825HGONMd4XRYVQ0VEroogiiiiiiCK+Bt/6mjXLygEKpmly2GGHY9s2d9/9C5qbm1m9ejXf//73UVWV8vLyIBJhGmzYsIFoJErI1AhHTNasWUN5RQV9Bwzmsiuu4ouNm3nwoT8gpULPnt05aepUnnn6Sdpbmnji8cdY9ueniejgOjbtiVbMaATbc/ng44/YvmMHhqaTzWTQFZXSaJyaLlUoro/veFRXV9HS0sLDDz/Mjh07SaVSvP76G/i+RIiAxlxVg6fwpaVlrFmzmquvvprPP/8cz/Npbm4mEgko9n3Po621leaWFtrbE6hKUIvlOA4DBgygrq6OaWdMo6mxiZ/feReVXSoZPnwYiUSCV199lXXr19GWSOIIl1BJnJb2Vr7YupWdO5p4eulS/vjUU1ieg4DAUdAVEpkkfbr1INmWZGDffmgofPLxxzz91NNs2bqV5paWgrYcKmghk8p4CX42RywU4osNG9m4fiOpdIZXXv0rEyZOIta1jk8+XcVr774BmSToKvXVXZg04WjuvONWXnvrZS6dN4/2tjbmzp0HKLS2JlAJoylhUEOsW78eCTz11NM07mjisUce4/XX32TL1q107VpHNBoQjEjAdiXJZIaQGeW0acfz+Sefc833bmRX4+eccNJhxEr6cOOt17J191Z+99vHse0M6XQ7ffv14fIrLqO5tYX7Fy1i09atlFd1wQc8gohqezLBth3baWtu5LprL+bFF19hx9YkKi6pRDNdKhWi4W5AGZ6vks5lMcrACNfS2palttZg3rxLeeGFv/DoY8t47vll3HbbbQwZ3J/q6moUFd5456PA4c5ksRyL0rJSPNfjnHNms2njVs484wzWrl3LhAkTGDFmDL/85S956cWXeXTJH9i9azfnn38Bn336Gddeex3r1q1n67Zt7Ny1i507d/PcsmX88Y/PsHXLVhKJJNlcDtM0aE22Y1tZFE3lrnsWsXnbNpY+/zxtqQSKrmGEDcLxCEeNO4ZdjY0seeIZXn/7TW688SYam5rxPAiHouSsLNlMmuXvvsP7yz8mVlrK8OFD+NGPf8bKlZ/y29/+luOPn0RLSzOqqhIJR2hpbsU0wzz55DN88MEnrFu9kZUrV9KjRw927dpFIpHA8zzKy8s55phjWLx4MW1tbZx77rmMGjUKAE84nHPOWaxbv5qjjj48oNVXFbZv306/Pv3o3r0X99//Wzat28SPf3QjUgo0A849fya//8ODtLbt5rHHl7Bg4bVIHDwPLEuSSWdpb0vw3rsfsXvXNl55+QVe/etfaGlvROJj2aCEDMaOHcNLLz5PKtXOSSefgGVlKCmtZP36zYTDMQwjTCxcypo1a1EAz3OprasGxeeNN19l6fMv0J5K/8/cZIsooogiiiiiiG8ttIULFy78nx7EN0OiaTqu6+L7HhXlFZx08km0trTwzjvvsW3bNhoaGpgzZ04QWYtGGTFiBPX19fTq1ZsePbqTs2wqK6sYOXIkY0YOxwhH+PCjv1FVW8OC668nGoswdPA+eI7NX994Hcf1mDHzLCKxUkxVEo3FcByHfffbn1QqSSxWQp8+vRk+YgQN9bUkkwl0VWXkqJHEYnF69elL1671hMNhli9fzurVa9hvvzFMmTIFw9BxHBdNUzDNEH369ObAsaPYtHUn27Zt49PP13DGGdOoralFU4NUPEVTiJeUMnzYMCLxUqQbRAsOPPBAxo0bh+u4rF23ju7dG7j2uuswTZNevXqRTKZpampk9L4jAh0oKaiuqkbTTd58+30cx2X8scdi2Rl69epO2NTQVUE8HiHnGOw/dl/KykoYOLAPa1avIRQKc/LJpzFo4CD6DxhATX0dvXr3RtFVQopC95496danHyMHD2P562/zwbrVnDD5eOrr6oi4PkbEYMOOLxg7el/C4TBlPfoy9dAj6bfPIFZtXk3fuu5cetmlDB4+Al016F7bQP3wvmi2je4JBh58MAftN5btW7fx+coVGCGDQw49BEcKYtEoRiREt64NeJ6PpigYGjiOxZlnn8NnH62koaqBGxffSUk8wtDuPdmdbWfF3/7GIaP2p+8+gzjssIOoKw9BvJK/ffwJ1WUhklmXYyYdGwhs44KTxYh3QTdMpp8yia49e7N69Upampq54Ly5jBo9HNeVCOmioKMbIcrKSunaUI2i+Ug1Sk1dPwb378Mhhx7Cmi1fYDduYua55zL6sHHEdY+u3brRmHIYsc8gTNNAQeLmMjz4wK+54vof8unH7zN82CCu/uGNVFWWMrRfd3oNGMrnn68GN8P3vnc9w4cPY+CgAbS0NLN+/Qa2bN3CaaeexsCBAzj8iKPYsH4tn3++jn32Gcill82lJGbSpaqKXr17Y9kOpeVlrFixkrZEO3Nmz6a6pgrhe8TjcYYOH8b4iVP5+JN32LV7K4cfcjTnnXduIMqt5tBUlerqelJtDul0irr6KPvudyBr129i564djBgxnOnTz6S6qhLbtlFUFUM32bx5C7msjaqp/O3jFZx51hn06NGDyspKamtrGTRoEKqqcvjhh5PJZPj000+pq6tjxowZQRQVn6rKSrrW1tGnV290w0AzdLr26E5NTS3HH38cidZWPv/sc/r07su+++1PffeBDBvegKIYfPThCpLJJBdfdDGDBg5GDxS9qa2LUF3Zm+07drFq1XuMGXsAZeVd6Nq9ktJoFWFTxfNa6N+/P7t3Zvh83UqOPuZoho8+iH7dGuhSWUnfgf0wwiE8z6eySwWjR44iHo3St28/evXpSzKVIm1b7DdmX0z1W//8rIgiiiiiiCKK+BdCkR0CX99KCHJWjkg4guvaGHnxYSkFihKISYdCIRzHCQSdFRVd1xCSQKwWcDwf0DB00H0P1CDzM+0GmlsAqpdD0VTcbBojVkYyaxOKxggRsNv5Piiaji9lnqI8aFx4Pq2Nu6mprwfpI1GQeeHfr4PnCXRdxfN8dF0jnc4SN1zUUFkg7K1qgf6VBM3zQfERro0WieL5Hp4WIiyhafduqmtrkXm9Kd0MKMt9XxAKG3S+oLaXxdRVNCCdThKPdUGKQBQ5K0CogU5UqeGAn0HRPKSoxrIFpqmgqTZSSBRNA98EBRzHRwtreap8QcixQVFwTQM35xD1TLIlGo6QGKpCzBG4msDVHKK+D7bNzmgl9RbItjac+hghL5g311cxZGCw7tSzlHsqEamQiYTAl4Q0BV1Aqi2DGTHQoiZtiTTheBTf9YmGDXTA91zsVAtKaSlhP4wmVNLhQBetLCXJlATXNu5HcbVAAPlXP72c5dts5s+fzztP/4bPt7Vyyz2LUQBD2pjSISVLMDQIZ3dDtCS/HgOdL8d2AkIWH1Ahm2nHCIFhKoDAJUTOjVKqAQKaJFRrreALEkYVsdQ29HicpFKO6riETQMVQbqtifFHHcIjL/6N7pU6RrqV9pJ6VAVK3QS2UQZASOZw3QiGAdlsDt0wAlIbCJxYPbhmbn4dIsFxQRNJQuEoABnLIRSOYrs2mqrmReHB7FiYSDKuiWG4SBwUPwYKBBmBLWiqgXBVVCUgrvHdnQizFE2L5feSi66p2FaOcDiM63kYWpjnnlvKzu27mTrlFCoqSxAIVFUtpAy7rttp/8tA4D3/GkAoHo0tjdRV1KBII7/f3EJ+oeVYRA0TO50k7Am8aBmOr6FFN6NRQirtUR7vgic8dCWMCHTI8diGLrvh+6AZNlYOpBJCD+fAVzEIgbYT37bA74ZvpPGFQAlVEnaD64wJrgI5O4epKxioaKqKl7PxFBUzFMJVVTwEsW9/skMRRRRRRBFFFPEvxLfHWesYhdL5jd/pAK3jy+Br5Z/vQgBqniHOUzX0vH4YisSXCh4qIZlDKgZS0VERIAS+lKiqjqIoCCRKvnOl0GrHsJRO33Y6na+cZOcp/xYaZ3tdC5H/s2fMQiqo6AFbpQBPDebAQIKQe66PAigKjpSoEjRFQ/HyFJeGKHjUEhU/X7+kdXJ2lb3mVqJIUCXkfTl8QBeA7yM0BV9VkUhMXyJUDaGoqIWr0pEkGZyOFErggELBud+8ZQO33HIbb7zxBr179uWGH/6IkSOG0WlA7L02A8e/Q7wZCAho/s60dl6637SEO40UVUJ7e4rFi3/JNVdfiePKvPMXEKFoqkDTOvp3QQT6gL5i4ub70ABVimA9ew4oGqg6Xn6u9W/YT7LTaGSnT1Sp4gKeohBxXADaTIOKPCNnMmRS6gX7zNe1QA/uK60LpC9QVBUrneXdd96lW7du9Bs4CDyBNJWCQwZ7nLLOn+3dWrCsgjWkoihft/dkp3f/xF6VIHwfdOMrx31lNJ23tuJ/+dv/EALta9v3fYmWF6dHguwQDNf+ufuHzK/1jrlS83O1xwH+X3KPKqKIIoooooh/ExSdNUD4LmgGQlHRpYUvFHw0zE6GkJR5x0Lh39ZZE9JHVTTy5n/hWFf5emdN5h02HxUVBTV4k2/by0cqJagaytdEJP8hZ80NmCqloeEpCgJBSKoB1+Q3OGvSEyiKDqqK7LSWFMVDSgXbtjH0cIFWvtOA6Lw2pdS+4jx0jvp83bT+s86ab3kYIZ1Nm7bRu3cQ4ZEKaGow1SqgqB6+8FGkh6oGDoXIO2uQ3znCQxM+KAIUHRQNRwbnH1K/fjD/3c4aQgSaAFLFsyxUTUfVdfAlmMrfncuvaY2OO1nHL6Tw0bSOdfWPO2tBv/nXvh+MQQnWU+fjvvy60E3hy/86Z63Qdmd/6msH8I9jz52/syP8v+QeVUQRRRRRRBH/JvjWs0H+V0KBIKpA3vzoML5UHRQlb9CrKKqCjoIQAkVRURQVyDsWEhS1s4XUYcjIPX107u+rI/hfiA7nNDjXQuqZyJu72lePzR+Yn9fgtRAS1c8/2jc01Lw9KPNtSiSq0tkwVCk4CJ2aVzp/q6koqpp3CAQaWkGf7mvHAyiqmncSAutXKoHfIP2g1iwc7khrDFLv/iN/oSOy9o84FgoBW+WXh7bXMZ08OiOs4TgOvft0w3UCXTJNDYS/tbwzLCVoqh68ETKYazVwdApdKQpoWsdkB2ynan52v+FxTWfTXfnSN0rhM+0rf3/Vpfk6BNdAChFouJlGfrwCxVCRUhbmtXO08hvnWAZBp849y72inH9/N+71unMfeamOv3f8Nzb6n9jve/XRaR10rGfhCxQC3b3g63+uD5FfHygKqqrw1Wd1/1vvUUUUUUQRRRTxfxP/Vo9MFRlkiQklSAsrPGtXNYTnovo2QjFRFA0VgarqCCHzmlBKPmXom4wZJf8fnQzZbxzJP3TUtwN7xqooGr7IO2kKaJryJTtf2fuPEsS1AKT0UfHzoSCJD0hFQebz1ZSv/nqvNhWCiJLf2Y6WgUEeZEL6aEIJPiNwoArtSCUfjuv4ROL7Dp5vIxWJABzPQdeNfCQm6EQ3DCxrj9j2l9HZ0P1HokCF8fxHl17pPFIbw5QI4WCYKqpW8MfyjppECAUpVYTIOxZCBAd1tBFMSKF5IUQQjeQb/bSvjPnL10VBopGPjCkqBn6gmq1q6PiFz//eqXq+B5oa7ElNQagKUlPJujZSSjRNK0TGfN//GseiE2RwTshgv/r+10W1Oq3lv7NXfd/PkxoFWnBCSFzX+5fs2r362Os5Q7DnFEUNHjgpCuKfD9wFDlrnKHM+uv3Vtfu/6R5VRBFFFFFEEf938W/lrH0TJBJV1wo1TLDHENe0vVPd/tG0rP+rkJ2MfgjS8f7u8QQkJEH4pHM9WmA0CrknKrV3VO0fhy9FIVWtMC7tq2mVhTHJwFjVjSCaowAhM9DzU/J6epZloygQ6WCh+Rp4XkBSoqpqoT/xpfn5/4XruiioZHPZoH0pUfeaSqXQd0eyIl9as0KCL/Y4OqquFcJQ/8XD/aeg6XsC+6qy50FI2Ax9Zc9pmvZ36wE7HqR0PFT5/xqXpqHreqGdztf3fwpfd99R1f/cvejLc/lfvWaLKKKIIoooooj/OvxbpUGCwMn7p2Fp4yuR/OcKqvDwrSSNbpSYLimLGXgiyIJCUcmkMwjhE41E9xiZyt4VHntqoyi02/nJ9NfFBb6Vrt/XpnIFKVOqqqOqQWpeOp0mGo2ihY09xyodUbUOR81HCB9d1UAKpJXDyeZwyysJm0H6qRA+VjaH67pUVFTsNZTCnAkVXwFPgUinkkZHBw+fiKpDziPdniAX06koKetc5fiV89O04BqmMikc36estAzheah5x0DTgnPyxTc7pHqecCKbzeE4LvF49O8b9bIjoqHumdqvqz+S0FELqRsGrnACVkfhgFTwfImiaKRTKXTDJFoSy5cK6kgni2Pl8I04RjRc6K2j/k76Hql0FjMSQw1Hg/X9TQGrb/pcCVJOFXxQA2fWxAIlYHw0sEEJ2CVVxN4/zP8bBPuCdDxf5iNY0kdVFXzhowmNTCYTaLFFoui6GhD9fMPDkubdu4hEIkRjMVRNK6T4FVgjv+bkvmmvynyaoOO45HI5ItEopqH/h7ViX00o/E84jd/QhwJ4viSTyQIK8Xik8KDhn4Ft53AcB13XCYcjeWbdb+VdqIgiiiiiiCKK4H9BZM12bAB84SMl3H33Paxa9SmOE6SnWZaF67pIKbFtu/B5R9QjlUoV2vrN4nuwgeYsICwEkLHB8kD6Dkq6janTzub9Dz8Gz+H0M2aydv1WLMsj0d7GlBNORFMV3FwWEDiWXWi7PWnla9oECB/XsYE9dTe+7yOBTNZCAlnbC6g7hCgc09bWBoDjOFhW0F7H+QBfSQOzLAvLsgrvc7kcsOdJeXNzc6HvjnZc1y20JaUkmw0iNolEotC+57l0thpzOYsgDTIQ9PZ9H9M0mTdvHm+//VbhuEwmEDAHyGZtPD8gJNEKHoFAMTTOmT6N9z76qEBdIoTgiccfZfJxx4IUOLlcUBvYOU9PgGvZ2IBn2cHnjocLSMXAdT2wPK646BJu/vntwde2yJ9r8FuATCKB7wtAwbJtHvjNg9zzy/sC013IQiRVUSCXswuOWs7qfB3EXo7AqlWrGD9uPLquIzv5JlbOwfMESMikcyA8kH7wLwIhJEKBVNbGdoP1alsOwnNA+ggriwuoqokPAQmL76MbOpqm892LLuaJJ57I96bgeAJF07jwvAt45623UIDmxgSqCr5U8F0HKQT33ncva9avw5F5Yg4FfE/i2F7Bn5T5NEI7ZwUeq5DgS6Tjks04KNJHeBlcmU9N9VL4KvgqaFgIBVwBmUwK28nRQVKTza/RdDIHIgjwGaqG7/qoSDQkCA9FVZk951xu//mdaLqK4/qFGjzHC/ZSKpPD9YJ05ssuncdtt9yUDxhKXNveK3rUse8EwbiklCRamkFKPMcB9uw1RVFIZ3KgqNxx5124fpAqG8yLwMpkQIJr71kTruviel4hwTDn2IW91rFHvy6C1fn+AEHdJEiE5+bHBcLPp2GqCtPPmsGDDz2EJ/PZvfm0T4BMJlNo0/O8Qv8A2WwWx3EIhQwGDOzPihWfoOQ3mKZphfullOA6PsKX2JYHcu9xd9QS2vaee18RRRRRRBFFFPHfh2+9sxYyQ+zavbtA6b5ixUpSqSymGTzRD4fDAaW+EIRCIUyIbf2xAAAgAElEQVTTREqJ53mkUilKSkoKRszuxt3YHpREgbyhFQmBqQOahmYaJJJJoiUlSM+jpaWZTCZNJKLT3NxCzrKQUmBEwgDoho5l+TS3JCgtDeN0GDCKimEE4+sw1DRNw/cFphlEYzocM9jjWJaWluJ5HqZpEg6HcRwH3/cLhlFnxy2XC3SqwuEwnufheR6RSATbDoxEIQRVVVU4jlNI69q5cye6rpNKpfB9HyEE0WgU27YpKysrGHcdTm+H8xeJREgkkmQy2Xy9mlKY+0h+LjyZZ94TklR7kmg0hKoEJAhqntQl09YGisLAgQPwXBfbKVBDMnXKFH73uwdpaWpCNwx27diRP+e8wekL7Dy7nkSSTiSgIzrmpNGNgN2xa309AwcOxHY8TDMfTRISPz/HsbIyZN6jCpkhKioraGhoIGvlME2T3bt3Y9vBNYtGQgBksw66HpxDOp1CUVQsO0iTbGtNMGrUaO5/4AGEAF8I2loTwfxEzMDxVSAWjyA70jxVlbbmJoQQpFI5YrEQXt7gDoXNgpMh8zVYjusQMkJkM2kUTUO6Lr5tM2LECOLxOI4r8XyJaWqgqPz4Jz9m9KjRANTUlLFlyw40VUHTDVRDR9N1FMDJPzCwLBtNDyKKUghcxymwcxqGAYqCnc2AqqAYBtGoiZCQzWQDkhJJfg9CNgeu6+TXPMRiMUJmiGwuSyqVIhqJFPaDJF9qBvi+h+/5SCSaFpD81NXX07W+nnQmh5QCzxfkcja2ZeH5kngsgq6ruJ5PbU0NXbt2LVxnMxwq7HuAaDSMbbsoBJFS13Ep69KlMBbHsgq1bul0mlgsQjabpaSkhEjYwMmvVd/3Ccdi7Ny+HcM0aWxsJJvN5ucp6KuppZmQGSrown2ZgKZjX3meV7jWHXtcUVVcy0LVdXTDpLW1DVVT8H2BZbkMGDAAx3HRVYVMxi3c6wBCoWC9uq6LoigYhoHv+6RSKXRdL9wzX3rpRfbff38syyrcUzRNo7GxMeD+MYPIJIqCZXuF8Xa07bpuoa8iiiiiiCKKKOK/F9/6NEghJXW1tViWxU033cKqVau497572WdwfyzLYtGiRbS1tbFlyxYOOOAA5syZw3333cfGjRupq6ujra2N66+/nptvvpn3Xn6R9X4d37v6Yso0n5wjCXVoVtk2sYiOr0dJtCe57pqraGlLctMtt3Px+bMZMXgAE8aPJ51M8ou77mL16tVES8spr+7KhReeR5ksC6IzvkeyvZ2f3XgT4UiUlrZ2mpqa+OmNN9G9R89ADDtn8/1rr6OyshLFs/jkk0847rjj2LBhA47jYBgGV199Na7rcvfdd9PW1kZJSQnhcJiFCxfy2muvsXTpUmKxGDt37sQ0TWpra0mlUqxfv57rr78e27a555576N27N1u3bkVRFObOnUskEmHRokV8+umnRKNRGhoaOOWUUxg0aBA33ngjyWSSNWs/Y9jQ4Vx44UU0dO3GmrXruOLyK/jd7x4iZIZRNQUpfSKRgN5++Yfv8cgjf0DmfDLpLEccdiRnzJjO00v/zLPPLaVHQw27vtjEddd8j95hEzeXwQjHWP7+cv7w6GMcP/4oKqIRnnzqKW65+RbuuOVWMtkcLYks6UyO06edybiD9+elv7zM/UsfZ2S4llwuS6kF3/3tnZhmDMfz0D1QLJ/f/v73/G35h7Ru30FtdTWXXX4Z5eVlPHj3r3nhxRepqa0jWlbOnNlzyGRsfv/o46z6bC2JnZsYPGQYc2bPRlF0rrtuAZqqkc5k6NWzB2dOP4NzzpnJJZfMZdz4o9iwfjMXX3wxN9xwA48+9ig3LLyBV199mSVLHqW+viu7du1k4sSJnHbaqSxY8AMOPmAMx048GkU1ufP225g67Sz++OSzZDIZmpqbmf/dCxk8ZB9CusojD/yKN998k5/e82s2b9rMpfPnc+tPfso++wzizNNP5wcLFrJp/Qbefe993nn/I5qamjhy3HhmHHcMf3zsCY46bgpKSysPPfQImzatp7I8TmV5nPPOn4PlOPz8rrsoqWkIWBStHD/9yY8Jh0MIX6LrOolEgnt/cTdr164BKWioq2fOeefx0fvv89iyv1BbFWH39rXsM3YGV1wxnV/d/BM2tg8im82iJl9hylk/5ogjRqP7Lq7v4XoOn61azYMPPoyqGmSSFqedeiqTjh3HNVdcQyaTIRJRaWtrwtANbrj5TsLhCIlkik9WrGT1558zY8Z0zJDJDTfcxOw5c+jW0BXP8zAMHel7vPyXl1jxySfkbJuSkhK+9/3raE8kWbRoEdt27AIUho8cyZlnTqe+uhTp2rhCsGrlKm699VYauvckk8kQKyljwcKFSEXhpb+8wtr1G6muqeGLlSuYdsY0xk2YwJNPPsmKFSsCJlHg/AvOp7qmhltvv41sNovtuhw29iBmnT2Le+/9Fa7r8Oyzf+bMM8+kubmZyy+/DF3XufPORZx44omA5MEHH2THFxvYtn0H48aNY/acc/nrq6/w8EMP071nH8xIhM8/X03X7j2xHA9VD+rzlixZgqqqTJs2DYDHH3+cMWPGEAqFuOuuu4hEImzfvp0TTzyRceOP4JZbbmb+/PksX/4+u3c1smPHLtLpDMceexyTJ5+I8AXXXns9pmliWzbpbBt33HEH5eXlGIaBECIg9PkfruMroogiiiiiiH8HfOudNVVRaGlpobKyhh/8YAE7d+5k9jlzKC8vZ9KkSfTs2ZPbb7+dSCTCiSeeSF1dHU899RQvvPACFRUVvP322zQ3N3PDDTdwi7SY/sOLg4ZzNpq5R8nLNAErh6eGCJeVs+C67/PXU+bx3bnzOXjsEDQBC36wkDUr/8azTz/No48+SnXXHtxy5z1kMg6ZHER0Hbwchq7Tq2cPzj3vfJKZHFdddRU7duykR+/eSMAwTTZt3kI4GmPxz2/hmWee4ac//SlPPvkkDQ0NDB06lNNOO42PP/6Yo446iiOPPJJsNstDDz3Epk2biEajRCIRbrzxRtra2pg4cSIzZszggAMOYNmyZaxbt47u3bvz5ptvsmjRImpqarjhhhu47bbbGD9+PJ999hlLlizBdV2uueYarrzySh5//HE+/vhjrr/+eoYOG8QzTz/LokV3cdNNt/LJJys44cSplJeXEwTPglQoXddIJtu55MoruOrKK5l1xiySiTTHH3cC+x18KKs+Xc39v7qPTLqdZx9bgikFCI/SeITP1m1k0W03c+eddzL+kP353a/upXHXriACuGMH519wEb36DWLpsmW8+OJfGHfIgfz+4Ye599Hf08vREK7HRSdOQ1V0PAgITAwDN5UjXl7GD25YQHUkxFVXXcVLLz5HMpHg0cce4/XXXkOqJld+fwELb/gxx0ycTN+++/CTH99AtnU348dN4ITJk/HcRhq6dmXevEvwPMmVV11JXV0t/fr354477mDixPH85je/YeDAgXTpUs6mjZsoKYmwaNHdPPHEE5SWxlAUmDx5KlOnnkRZWQXJdApFD5j8mpubyOWyZHMWzzz7LMuWLaVvr+4ACCvNxAnjuPEnP2b7ziTvvvsByDDLnnsJ6UvwVfYZNIh4LMawUaOZcvo0qqrKuGjelcw6dTJvvP4aYw8/hh9ccz3l5RU88MAD6Kpg6gnH8uwzzxCNRhk2fDjnf3ceAD+89noSiSSaVomhBwyOD/z61zy39Dn+/NxS4qUlLPze93j3vfdYfOed/Gzx/ew3qhePPngvT765lowDbbu3ceTkKzji8B6sfq0rdz/yBAceOhpTBYGgpCTOWbNm8PDvfs/YMQeya0sj8+fNZ9KEceiu5MM33+Gt998CK8kpp5zClq1bSaUz9AxHOPDAsfzuoYc4+5yZuK4ka1l0794V2/YJhXSEhGgkzMYN61jy2KMIAVdffTVP/ulPPPf8i1RXV/Pggw9g2S4nTj0ZMxThkgtm4jkWZjTG888t5bJLL2XMAQdhWxY/u/lW/vinp5g2bRr1Dd24++47cVyQiVbmz7+UkSNGsviexTz19FP07N2LPz75JMlEkmUvvsABBx3ExIkTkUJyyuSp7LvvGLZv286QIUN4443XyGYsrrjyCkwzjKbBunXrKCkp5dJL5yMl/PbXi8mk0syaNYvaujoW3bOYXyz6BcNHjeLtdz/gnXffo7yiC7qpB/rY+XRcO5/26TgOQggaGxtJp9OUlZWxcOFCLMviT3/6E4ah8fbbb3LVVVfS3t5Gz549mDt3Hm1tCaZPn8EpJ5/OPffcQ/fuPZh7yVxCYYWpJ00lEongum6BbKUjmldEEUUUUUQRRfz34lvvrLmuS2VlJdlslmg0RjwWR0hIJpPYts0777zDvHmB0bl9+3a6dOmC4zhMmjSJXr16cdFFFzFy5MigsXxNVtYDFBUVsL2gHMdQAVUlEongWBahSC3ZbAbHcfC8PMmEkPTq2RNN05g5cyaHHjWOORfNp2tDJT6gSVAwUV2XCRMn8uv772fpc8+zY8cOzj3/QmzbIxzSkVKiazqjRo4CgvSlmpoaqqqqaG9vp2fPnoTD4UJ07IUXXsD3fdasWYMQgiFDhjB48GDa2tqoqKigtraWqqoqDMMopFM1NzfTp0+fQjrlyJEjef/99wG44IIL8qleMWbMmMHUqVMxTZPKykpGjx4NeAwY0J8f/vBH3HzzrWxYv4EZM2aiBSVTFEgblYB+3TRNnlu2jLdefYtczmbdunUsX76cuXMv5vmXXuHVl/7Mq8v+zKFjHgYREBrcfNNN1HYpZdCggfhC0K1btyANU1UKaaCGCf37D+K223+B35qgT58+mOiggW/7dG3oCoCNg6GZ0JagpKSE/fcdTEksDorgnLPP4eW//IUd27ejaxrfu/pqLEfwt1WrkVKSTqUYPHgIlg2VlV2or6+nsbGJ/fc/iFi8hOuuX8jHH39MfX0dALNmzmT6WWfR2NTIsmXPc/vtt+E4HtlslkzGZv/9D6CsLIbjSExT4dBDDyUUNlm5cgWDB50ArgOagmkY+J6HaRqMGDGSHj2709zURCwaIxIxicdLGDt2LC+9+BIqMGPGTH7/wH0M6t+fY489FjMexzAMykrLqKoqQ0qoqqoCYMyY/ZC+YNeuXVx22WWEQxrSFzz22GNE4xFuufV2jjryaADaUhm6NXTDNEOoqhpEqnSdtWvWMnToUEL5VL6FN94ESE45/XTe/nAl11/7A15cuoTqwacTMoN0yYEDewBQWlbKjh070DXIpjNESuJ8uvZzSktL6de3P6oKVdXVDBk8mKZdLdTU1jB48BDSyQTx0ij77DOY9kQSRQnWgi/Ia9/Bpk2bqKyszO8bDdt28X1JOp3muxd/N4hM6yYnnnACK1Z9RiabZfennzLr7DmEI1E2bfqCN996k+9eOAszFgMBTU3NDB06DN91CYXDDBkyhKaWNhQFGhoaADANMCq6UFNTQzgcpn+/fsyaNYszp09n3MQJ9OzRk/c//pCnn36KN994g8bmJrK5LC+99BKGaXL2OTPJZW0i0TBd67uyZcsWqqurqa2ppUuXMj768CPq6us5b/Zsqmtq2LhxIzu276CluYXhI4ajqgrDR4ygJF5Cc1MTVs5BUU1KwwrpdLrgrJmmiWVZ1NXVEYlEWLBgAWvXruU73/kOp556Kr6wGDRoEDnLwnM99h0zJh+1j7Fjx3Ysy2L9+vV85zsTCIWDrIOxY8eSzWaJx+OFNaLr3/r/dRRRRBFFFFHE/wl862vWOuo+IpEIwg+eIruOTWlpKblcjv79+zN48GDGjh3LVVddRe/evVm+fDl33nkn9fX1LFiwgOeff550Og1S4AJhHbAy+AT1amEDpONAKoHjC/RQGHSVktJyGhq643n52ipVIRSP88abb3L5ZZexcsVKZs06myVLnsqz8QFSsvmLL5g9axYbN6xn/vz5BRrwDgZCz/VIplJYto3v+4RCIdrb2wmFQpSXl5NKpfJizAr9+/enV69ejBo1imnTpnHsscfS0tJCU1MTFRUVJBIJ2tra6NKlC9lslu7du+ejXjqO4xCLxTBNk0gkQjKZRFVVhBDE43E8z6OyspLafJpph2EKgr79+lJdXc3y5R+SyWTo1q0+GLsnCwQcUoiAOVFViUTC7Dd2LAcfdAh33PFzRo3el5/89Ca+//3vc9CBB3LUEUcEtWJhEyubZcLESWzbvoOXX34VTVVJpZKk0ymcVBopBF0qKnAdiMWiGGYYTdcJRyL4QC6RxtB0TFUnT8GBJyXoJt3ruxKORpGKRHoWlpUiEg2RSLSSyWQYvM8+9OrZm/MvuIjLLrsSRTXo0qWGSBh8z+eLLzaj6xrZbIZJkyZRWVnJhRdcQCgUwnV9Ro/elwEDBrBixUqi0QhjxuwXOPj52h/D0HEcWVAR8DyfZCJNVVV1IFOgaSAEyUQ7AJlsllGjR5HLWnSp6EIkFsXJ5TBK4xyw/1hWrljD7l2tnHzySTTubmXnzkaGDR1OtjVBXW3XAjNpMpkL2BVzOTZu2ICua5SXlRdqPW3HIxQK0drUFNTAhUO4QHlJjJaWFnRdo3NWWyQSprJLF4xOtUlWaxtnTT2JefPn071bN06ZOgUfldYk+I5FTR3saISKWISWtnZQIFpSgu95+MInGo0Wap3MsIKGSnV9JZvXbcBJZ4mXlAEKViJJJByitKwMVQvEyQcMGMAHH37C2++8Q+9evbGdICauaRrRqEkkHEIKP6Dw13Xq6+vJZDP4ns+ggQMZve++DB48hB/9+MfMnj0H6XmBboGqUFNTBUjsPNFIeXk52WyWtrYElVVVpLJenqBTEDJNqqqrWbJkCd/97nf59a9/zaRJk7jzrrvIZDJUVlUxZOhQ9j/gAM6YdgazZ88GKUkmM0QiIRSgW7duvPD882zevJnq6mp27WyksqqKcCjM/mP3o3+/fsw+52yGDB1C14auaKpGeyJNPGbiei6qphEKm4TDwcOseDxONBqwbwohcF2X9vZ2ampqeOSRRygvL+dnP/sZCxYsQAqfXbt2Yug65eVltLQ0o2kaiUSCurp6stksFRUVZDJ54iIJ7e3tZDKZwj2pGFUroogiiiiiiH8dvuXOmoqUCo7jIYQgZ2VxXYfdjbtI51IcPe4ofOExZcqJ7DdmDG+/+RbtrW1ce821lMRLWfiDhZx00smsWbeOSCxGwvLYvno9JcCzr3yAm0qBF4QXhRZBVPQkardgSo9sxse3Mnzwzpv4roWQPradY8Om9cw+/1y69e/DL3/1SyJhg+bGXXiWA8JHejk2blzHhEkTuHbBAsLxGBXVVTQ2t6DrAbGerqnEwgZhQ8U0TDKZHKUl5UghcZ0g1ch1XWpra4jHY0yZcgLTzzqD9kQrkWiYqqouRCIhQKKqe4wnXdf54ovNmGYIBRVdN7CzWRCCtsbd1FdVUldbxS8WL+K1N//Kpm2b+cGPfkSPPn3RjDC6ESWVDujhI6EIp516KtcvuJ54aUmhNseXPkIKFEXF9wXRcIT6qhp61ndj8rGTOPSQ/Xnuz09RU1nK7u1b+PMfH+WA/cZihqJ8tn4TaCGSUuOU4yfy2MO/5zf33sdfX/kr5eWVKIqBGS8FVUcqGroB6XSacNhAhF12bVrLxo8+ICskT73wIu9v+YJSDGK+hqZIvDKNFbs28uqTz7JpzTrWbNjI4l/dTzhewqQTplDb0IPK2q7MPGcOWzZvZfXqNcTCBu1NjWgSPM+he4+uKKrgxReXMX366cyZPYtINIRt2UghkUIyf+7l3PSz25l19kzCEQ3bsQiHTWKxEFu3bub999+muWUX73/wIV9s3gCK4MADx7Lpi800tSZ5/I9PsmbDF6iahpVNUxKLEDJ1VF1D+AIzGgdfZfrs8/nkw9dJpVowIzDx6LG8/vbrDDroQKIxydYNK/BCYfAdyku1gGUyGidaVoFAsM/A3vzirlv58MP32bVrG8dPPp4nnnqGUChGW2sKUwBC5olUJFIGmmJSCMaMHcvLr73KZ2tWs3b1ai656EIee/opNu3cwYLrrmbiccfTnoVMyybCMoGtVJLYnaJ7FeSUcspjCjpg51xUzaCuooqe3brx9FNPkkqleOrJZ2lKNIGEUFkMV5f40gVdgYiJL3xSqXaSiXYMAw7Yfz+uv/Ya7r93MUcedjARQ8GzXAxVQdgemh7mkT88ztatO/h0xSpuvPFmunbtxoEHHoBtWRx+2MFMnjyR9959C8fJouoGtuUCGqoe4q5f3E0imWTz5i386Y9PsO+okXQpi/HqSy/QvHMzmWSS1994nd2tzWzeupm58+exz+B9WPrcc0w5cQrPLV1K3959qCyr4Njx3+E7R49j5aoVtLa1EomEiccjCCmwbJsjjjiMh3//ENd+/xr2GzuGsvJSjjt2EpFoiGMmHcdBhx3BjsYmqmtryWQy3HTzzeSyaX734MNs37qZaEhHV8B3HAxVJxaOsnrVp6QSCRp37Wb5e+/hC59PVnzCy6++yo233sIzz/2ZZDaDpoUxzSiqYpBKZamuqqE9kcQwdHRdwzA1hg0bwrvvvsG2bbv46OOPWLVqVSGy6Xlekeq/iCKKKKKIIv6F+PY4a3tJknW8CZw10wwDCrFYjKOPOZqf//wOLNdi4Q0LOfa4SZx44glc/b2r6VbfwJFHHkVprIR5c+czZt/9eOfdd5ly0kmgKOSkxs+uuozc7t387g/Pkm5rI4SH6rqYepzWBAyui2N4DtGKOqafdjL33HU7S/6wBFVT0AyVnn16MWz0CK659hoOOPgA+vbuwRnTTiEeNvEcB8VQOPiQA3j5lb9w+JGHc+sdP+fAQw7l9bffJp2xUNXAHu3Xqzvtzbtx3SDyUl/fgC8gZ1mFaOJJJ59ENpfmpJOmMHBAf5LJNnr26B44S2og0pVOp2loaKCpqQnTNKmqqkZTVUwzhJWzERJwXaoryiiPRTniiEMZP3Ecc+dfwmlnnE6P3n245777iMTC2C7EYibC83Edj/POv4D29jb2HTMaqUDWdglFgihhW0srkXCEaCjC448swcvZHHP0UVx+6XyOO24CDfVVjB42iDNOOZnJk47FcX2uXfgjsjkPy4wSRueQ/UZyxbx5vLDsRbZt30Xv3v0CJs1wlC+2bsXzIRYPU1oWRy0RXHnZJfzk0ksZPHQEb739HuEeDUSBEi1QtMp4KYyGckhkuPSSSzj5tGlU1XVl8tSTOf7Ek7n8e9fwi1/ex3GTT2DHjp3MmzcfU1cwFIkOpNIJdEOlrr6G/cbuy7Jlf2bchGNY8oclWLbFW2+9g6KoHHbYYTR07c2pp56UZ/l0qKmtAgXOv+Bc5s6by+TJk7n00nkcd9wkKipKGbTPAF548SXGTTiW9/+2gvoevYKUtWyK8tIYISOIkKmaCooGZpRwWSXTT53EkCF9actKLr14Bl3qKvFDgOlSVarR7mpoioPf3kxlRRkoGr6iYbs2ixf/nAPHjmTu3AuYMuUEJp94InPOvQiBTi7rYKgQUhVKS+IkE+3YVi5gYtRUTj39NK685mrOPGs6Z86aiRGPMW3WTI47aSq33vwzpp50OlX1fWnd8Tl/+O1vEeF6elTHiKmQypmMGNyLXDJJKBJH8aG2po777lnMs08/zf77j+WuxXdx/iXnY0kXsyxKVfc6tIhJNp1Ej0dRNSgpiVFeUYKpGwzo1xfXzjH+mKOpr61BRSFsGqhCYuoamZxLeUU1s2aewzmzz6V7j15MmTqVG3/2U8aO3Y8rLr+MM6adzuBB/Rk/7khAJRQrJZFMc/ac83jtjbc4/PAjOP30adTX1TFm9EgMXScWNph11lkcdvDBXHP9tcy54Hx69u3DIYcfxsyzz+a0009j5YoVPHD//Zx5+jQ2rFnLGaefzvTTp3H22bPo378vhqljWRaqqhIOh6itq2X06FF079GNnj17EImEOf+C8zjiiMOZefZsjh4/ge69+jB46DAef+IJnv3zs5xy8kk8+cfHGDyoP/GIgZ3NEDFN8CWTJnyH11/5K98ZN55Tpk5FCkm8pIR+/Qfw/kcfsM+wocycfQ5HTRiHoYdRMEgk0qiqQXt7KojAahqe55LJpJh8wnH06t2TU0+bynnnn0e3bt0wDAPXddE0DdM092KmLaKIIooooogi/vugyC+Ld33L4DgOpmnuVSfh+z5okpydQxEgfIFwBWVlgaCy9AM1a0UFTwgUTSWbs4gYekG/rKSkBCHEXlpMAE1NTVRXV5NOp4nH4kF7gG1ng/ov10LTVDzPxzTDOHbQhqFrgIOVaCZc3gXpSxTNxCdPW5/LEYtEEBJUKchmAlkBK+cRDpukUllKSqP5sjqZp9GXmKaB5wdU/KZh0FlYGMhTdwdjaG1tpbq6GttyCYXyQtW+ANeFkA6eD6aKD2StDCg6kVAMx3MxVQMEpFM25eWBnHRrSysHH3YEr/z1NeIlJUQjITwfPDtHLBommUgQj0VQNR3PcchkMui6TqykhI48QOEGaVuWbRM2TVzPQwGEHsHIp915jodGoO9m6AZSVVE1FamAbXu4vkKJ1szy5X9j6LD9iJR1QUiYc9HlLP7lbcGc4hBWdFzPxZAmjnTQTC0vTBw4/47jkk6nKS8vD6jJCdI6dV1h+7Zm6utj5LI5SkpKC7/J5Wxs20ZTdUpK4riuxDAUPA90I6idLC0tLaybDt08KWXB6e7Alxn0OjSrXNctRC6+AumRsRy0SJRwZhd2pAxbjVCa2wWGSVrvQlwEWnk5P4xqB86+6zsI6aHrBkbIwHFcTNMka3momoGRn3zHAeFmiMVie3ebJ67o2Hcd5+S6LoZhBOmGilLQ6+sQWu7YT62trYUaOt93yCZaiURLECiY4Sgtre2UlZUGzmF+31WUxdE1QFVxfA3XdYlGIni+h23ZHH3UUfzqV79i+LDhhXEK30PVgpC18H0UXQt2hqpi2VZhXptaW3A9l9qaoBfETGIAACAASURBVPbQc11ChkFraysVFRW4rksmk6GioqLAdtghhxHUy0ax8g9SpAwYM23bxjAMcrkcsVgsuGfE44Xfu65LNBoNhLXzshqhUAghRCF1uUOaIxaLIaUspBuGQqG97nkdvy2cd8e9yw+YbBECIxohm0phRsNo+bWXc+xAriEvnyHz99POaGlpoUtexkAIwaZNm7Asi4EDB2IYBjNnzuSBBx4I5Bby66LIBllEEUUUUUQR/xp86501oKAJ1kEbDeApHp7rETFD2LaDoQVCwZ7joWkagsD4VzQdqQS1LcJ1CtpDX4amaXsJVBuGgfDzaT8qGIaad6AEiqqiaxqO66NrJqqqIHyQwkYRNqoRwvUEhhnCRyWbN9Y818EwTHzPwdQDRjWFDuNPw/V8VDWoBwtqy4L3OStgmBRSFLTLkIGmVzhfS9XB0hZIcwUGtKaq+K6PpgZU+74QqKaKK4Lz93wf35VBvYtQkL6PpuqoqsvSpc/x0MO/56BDDuOCCy/E9QLjTDc0VAl2LnDMNBU8IVFVFV3XsbI5wtEIyfYEsXgMTQ10sBRVIZNOU1ZejpXLoYWi/D/23jzejqLM/39XVy9nufvNDgkhQEJYQiCAIKsiu8oqsgy7o0CACIqsI6KiiCMIooDs6ogwo6AyMMiwCSiLJsiWHcie3Cx3O0tvVfX7o7rPvQkwXxlHB+d3PnmdnL7n9Omurqru1/Op53k+TxJZAhHVqpRbikRhSBAU0EpjEKQGXF+SpoZA9nPnrXexYuU6QlVk1arVHH7UEXz8EweitUGKFGnAEQ7CWC+Blgbp2H4V2LpTYRgipYsQkjSN8P2AKEwpljx0amvSJUlMqjSloiXPdv7ZmmeOdO38MRrP94b6OlPIy4tq2wLEQaMGXqFQIEkSoijaKL8oiiJ8338HsWvAKMJUIzwPr7qWuiwRe2U647UgXTbQRidVhAEVtEGUIBwHg0Z6giROUEbhui6u9IgSK/CijUBgQ011kuC67kZ1v2w/JA2ilhvqw0Nu83slD9vNSUBO6PLfqzTCdR3Ahs5K1ydVBuFkCy3K9psUBpFVyo5ie/8aIPB9zjvvPKZNm8bZZ5+90Xl1Xpw81TiOLZotHAetFDhW2j6KIowQti1ao7TCc2xNuVyUp1AooJQiDEOKWS04IQRhGDYIVt5HeSHq/HnkeR79/f225l1GhvLP8/3z51ihUGgQ3yiK7D2UzRmdie9IKYmiqKHy2NrailKqMc/yuQOgwgThiEY9PKUUymi8wKder+MXCihjSJIY3w+Q2VhGUdQ4Vn5d+TydP38+d955J4VCgZ6eHnbffXdOPfXUxvMxv75NF7qaaKKJJppooon/eXzgyVpfXx8dHR3AEAnRWpOQIh0HtMFzPeIwxBUSR7qIYSu+YZyAIwmjkECKhiEWx3FjhTg31IavFFcqFTy3QBDYlW1tUqI4xvfcxn5RFOP7xcbKudBJFljqoJWmHsUYR1IqFoiSBIwm8AMEmiQJ8T2fMNQEgU8UxRQK1tjNDaE0Tay3yXMtIfVcUpVSLOSr9IXs3OXGbwYGKrS1tZAm2hrIBmqDNWIV0dHZCUKjs4IFtXqdctF6DwUClWqk49DX20OhVKZQLGEQVGohpZL1UNRqEaWij8wdfCaThzRYdcg4wfU90tgWg3YzEpJ7Jwb7B2htbyPFIa5HVnTBACjieh2/WEQlKdL1MY4gThSOK/HUenAKpKFBFluo18EJwJGZsIuK0LE1NoWRJCq1hbLBevXygsGpNchLxRJSCqrVGuVyiXoY40lr9MZxzMDAAB0dHQ3jGaBarTYKjAON99xAz8mM53kMDg5m4helxpzKvSP5nP5zDN5aZYCgpZVaLGgVgyRugcHEozPqQZRLhE4LQTiI8Dy0LOBkd7NKEwwq639DFCeZ4d+BMVCpWtJaLLroTdT9hrcrL8yei9UM9/RIKRveJNd1G/fBcGitERiEMBilbM6mH5AonXnnoJoVr9dJhONK6oODFFs7G8fo7+ujvaOdMOs/G9lryaEBkjQhkB4qSUi1tmIwcYwyuuFZM1gxl3w80jRBGDuGw4tVF4tFlFKNgtgA/f39Dc/YcI98GFrPXV9fH+3t7fY+Gka6arXaOzyW76akmIdI+r7f6E8Y8m7W63U7r7N25gQyjm2x9DgMEYBXLFAZGKDc2sKGvj7ruTOaKIkJ/IIlqYiN5lxeCDwfK2OMFXPKtoEGucsjHGzor3rvBYYmmmiiiSaaaOJ/DB94spajVrNhiLmaoXLAwcHBoFSCKyWkijCOSaIYHNcaZtJtZOaJYaFcuVGyKer1Or7vNwx0pTRaDxkmcRzi+0HmPfCzz2KkdDFa4wiBEA7CESitMcauyFsuo7NaRQIpc4PJGm7DvRFgjb7hRl1OUg0prnQJw6hhiFar9YZRmAncUc+IUJwoG/Im7HeV6gBtrWU0BgkMVqp4nkvBL5MmCa7rgUgBgUoVg/WItrZW8kmSKlvmQOg0a1OKETa8NDdkoyjaiBRrbY3marWKMYZyuUw9Tgg8Gzan04h6ZZCWjnYbtikE2oCQvi127bo40TqE30L/+kHau0cCMFCL8QqWTBkVE0jbH9ryczb09dPVaY3oemj7QykNmIZRbT0+MDg4SGtrO4ODVVpbhwzsnMRXKoO0tLRQD2sUC7bmlNa27MLg4CBpmjZC6IYbw9VqtRHilntw8twfYwxhGL7DoB+OMAzxfJ84URR9QRQluIUi0qSkUYTxS3gZQ9OajaTVc29JUPARCAYGBmlra9uIMNTrEb7vNrw2+TzLvT05YXgvDGZEKyeiuRc87wfXdUFrdJJgHInreSitGt5d3/OHEme1IWPu6MgujhRLJZAOcRzhBwGJSpHSJYxC/KCANhqDIanWGyQnbxPY50YQBA2PWV6LLFc2tH1QR2vdGIfh3rG8tlh+/w8PC7WqqPYYSZI0wibzv/PfDG9PLrGfk3ohRCOkNMfAwABBEDSeAfl8ys8x/Pk02NtHa3vHsHxfiJOhUMc4ze5pYKAySFup3PA25l49O3eG5u26devo6urCcZwGmcvHMi8NMjwks4kmmmiiiSaa+OvhA0/W3i03IkkSHM8jTmIKnmdD3tKEIChYg88YkNZAiRKN61sjxDGGer2+kbdjYGCAYrHYME6H5+mAPZQQNAwWIUxm8IPWG+cl6Sxvxs1CLdNUERRs3SMDFAt+ZuTZYyZpgisLjZVt13U3MvLy3BdgKKSK1HoSsxykJE3xXL+xyg+QxAnS9XAEJFlOVq1uPSSlkg9CIR1JmtqaVAAmxTZKQ5rWUIiGZy1OUoTjIqWVgJdoAt+20agEIe0xhocB5u0fTlzyazPGECuNg839SeI6vu+ShKElwFJSrVQptbSTKoUjJTLtRePhyCIqlTYfERDSWK+gCpHGtccLNZ7vNAxYG3rnNMYyb5dSCm0UZPllRtt9HPkuJD2Js5xB08hTA2cjQ9ySdkkcxw3vRL64EIbhRvlLdm6ZjcLu3gsGSJTBNwlauoSJoeQZVByROAEFzwGtMcKSrfzahu4bjTGiEeYopWRwsEJra0vjHstJY+5RGR7WmXuxht8XOQnNryMneNVqlUKhsElunoY0RbhWet51XYwQJGmC0pqSb8lUIShgEitcIdyhvKpatUKppQVETj5cqrUaxVI5GxcfN2uHJdH6Hd7ynEDmHsAgsHXlBgctCR8+Z+M4HvLIZWQ1v97huXn5ozMfdyll4/mitW5sK2XDUIcT37wv81BRIQQDAwO0trY29lFKNcjcph65xnNCg07t8zCvI2kEjbZrgVVu1SnScZEMhd8GQbDRWOfHz+ftcAKet2N425toookmmmiiib8+PvBkLTce8xyQ/LMUkI5DmiR40tZe86TAca0IRxJr65FIFSLL5ZKoxsp0bpTlBktuSG3sRTCZoaQaXgYAKV20UqQqbfwuCHyUNsSJQmRt8zw5lAekDY4r0DrPd/Ebq/Z5iFFu8A7PC8rDjfKcFa2TxndgvUq1miVqjWtTNq/OaIMGjBBoZfPfXEc0xFLSfNXdGLS2q/txFCNEinQ9DAIjHLQG15PEcYLjSISxeXBSStI4BMdrtDU3dPOcmjxkKt/OjV3tOJAZgVJotE5xhEDlbTeCVIMyhiAIkFRQqUA6BRCSONY4nsCgMoGLGuWi9aIZBdrkHlfX5m9lpMOSRetdMxhM5iGxfV9oeNvqdSskI6XMDHOdGewlO27SQTpeY/zzeZrPn+ECHHlOVz6O+ec5Gcr7Lid2+f5Ao6ad60pqkcZzNCaNIWixhdqTENwCaaowKml47nKvjPUik5Fosrbl7c3FUOwXOSHLQz+H3xf5fZf3Y06C8msYHjKXk6Q870qKLI8vjRGOgx8EpNrmEaY6JXB9UpXiORIVK1zfiuHkDybhSpRKEcKxnjXXJVU2D9KREoHAZP2rtW7kieULAzlZysclb3/e30KIxvjkXrd8oSQnWY7jbDSO+Xly4pYv+uSEZlNv2V8Nw5/e73K6TR/uTdH9Jppoookmmvj7wgc+Q3y4sp7WmkqlQqVSIUk0vX2DaK0wGIJCgONJ4rgOQuN6EoQV7qhVFVLSUHPLc9XyYsa5UdXX19cwygAsn0gwRjeMamMESWKNURsKZAgCH9DESYwXWPU9x7WGndAKKzxoQMFg3wCu9KlWYjzXQ0oolQq4roOUAoQNMcpJpNYGlVoPlOdalbgojrJQS9vO3FOYhz5Vq3Xq9cjWYEsSpAOBJxFGkyY2fyuq1dBpZqgLhzBO0I7ALQbWmM5X/BF4nkRp8H0vCxvMpPIrFbsy77pEcUKqrKgKQiAciSMllVqdMIpR2mCASrWGcByiMPPapJp6PcZxPNAC6fqo1CClj+/7VlDFQKV/EOlYgooB33PQicJ1BKtXraBcLJKorHixYz1oQeAiXXBd6xEVaJs7ZTSOI0GD6/pIx8dzA1tWwXWycLZCoz/DMEQpTWtrG47j4jguAtnwUuVGez5HredqcCOCn3ticsM/nz9RFFGpVBret/x4vm+vH+lhMGASjO+ihMEPIHUgBiQJWoDjSVwpWNe7Ael5JFpjsDmDvudRr4U4wsFB2HBdxyClVbbMRSOABlEbGBigt7eXNE2pVCoNQgM0wnWHe9TCMNwo/8vWx7Nhy67nEkeKYqFI4AfUo5B6VEMZ6yUGKwoSxwopXZJIozAkKkW4kp41a2xBeWHFRoxSBJ5HEsVIBGkcIT0PDVRqVTzfx/N9oihq9KUVnrE5lZ7rNRZrHMehXq83ngtBEFCv1xskbThpzdVOwYYK5gssAG1tbXiet5Fi4t8EYtjr//F1k6g10UQTTTTRxN8f5Fe+8pWv/G834r9CI1wt8zjkREa6DsVCgOe6hGE9M8ghjpPM8HIZ6OvH9QOCgkMUATppkKA8BCpfDU+SpKG6tnLlSmbPnk29XrXelJYWVi5fxbp16+js6LQeM2UyyXWbu6GNRkqXWpTQ39dHS7mESlOr7Cglr73yCkrpzPCH9vYyUaRB2CLTOUl0hEMYRo3rT+KUQtEniRVRlICjMiNYUqvV8Dy/4RG0RrWkWArwPJe58xYwctQowtiqT9rjC4xK8YKAJIn50yuvMm7cZrieS7UW4nkuOsvLQzhUa3Vcz7OqlPUY6Uo8aZUqg0KBNIkJY0WxGDSUFF3XJYwiWzS7WGh4lKSUFIuFLNTQjlcURpRLJcCA45DGMZ4f8PKcl6nWQkaM7CZKFOWyy/KlK2jr6KJWTQGJHzgMVgcYOWIk1bCK7xeJoxitXNKkxjNPP82WkyYx2D9AULDtq9dq+EGATpUVqCELG5VWvCUfh7Vr1zZEHXIikxv2QRBQrVbxfX+jnKP+/v5GqFye5/Tyyy/T09NDf38//f39DTl7sIsDbW1tDaM/Dzkbyier4/kec156EVcrVvRG+CiqPStYFwUUSwUCE9NXhzBKaSl4FIo2NNGVkjhKmD37ZZ584il2222XzFq3njqt7NxECFzXzuFc6GJgYID29vZGeHBOKl3Xpa+vrxEWmV9jGIYNAZmenh6CIKBUKjVESGrVkHK5QK0e4Xkub8yby+abbc6adT2WBFWqlEtlvGxOSClQKsXP8qLKLS1Uq9VGnpTS+eKJbKgchrH14hWCAgJQWhH4gQ2ZrFapDAxSKpft+HsejpSNkMycqFWrVZIksTmV9XrDS5x74fyMAIZh2MhPzMl17iHPX+9ZiqGJJppoookmmmjifeDvwrOWG0tgDdg0TVHKEMeqUX9MCEGlv48g8EjiCK1SWttsTk6agnSsByoPkUqSpJFXlHs08tyTu+++m5dffplqbZAnn3qcNxcv5oUXX+T882dlIXQQRxFBYHNwlEpxBCg00pOUW0pobb15rudSHeznX++7nxHdo/jeDT/gV798iCg01tMhQEqHgYG+RshWThIEdqXf8hhp1SIzefohGXAbepgkCS0tLUhpv4ujhGuvvZYXX/gdrtBgFFrFLJw/l/NmziQOQ958821mnnMeGzb0EhtwCwGxIRP4MOjM+6hSSxSDwObBhWGEdF3qtRqe51EoFTHYdEGExGDLAkgpUdrQN1DB8z2SLLQtzjw0WoHnBWilSWKFTsEgGeyvcOaZ/8iZZ36WN99ciudKtIZbf3gbKlWA9QwZbWhrKaN1QsH3eeLxJzn77HMwwlAP63zp4guoV/tpbStRrw4AhmKxgE41jmO9pEYLPM+GjhoTE0YVDAndIzrIw2CjKELgUKuGBH6RNDEUglxVMG14Xtrb2xvCEZ7nsWjRIq699lqeeuopnn32We68807OOOMMFi1a1CBnlUplo/ylPMwQbKjr759/iTtuu43lK5by+G9/x7Lly3jlpd/z6ZPPxAbLppRbAsqtBXTmWazW69TDCM/32Hbqtrz11hKefvo5sqlrwx+NQqUxGPWOsMGcFOWhfjlB1VrT1dVFqVTaSCAlX9yI45jOzs5G7bFcfMUqFypKpYBqvc4DDzzAwjcX8PDD/86rr79KV1c3iUrtYgRgNKTCUA3rJDrFCPALQcOT5yCoDg5iEoUnbCkJx3FsuQetqNSqjXHLwxa7urvRSlFubbX3f0bE8oUgm89ZolQqYYyhUCg0xjMPWc3Fh/J9hodCDldHzH/3t4AZ9mqiiSaaaKKJJv7v4QNP1vJcnvx92bJlfOpTn+KAAw7moosuYfXqNY2Qo5bWMvPnzeX7N93I5Zdfzn777ccZZ3yWakXhunDffffx2muvseeee/LGG29w2WWXcdhhh3HkkUfy4IMP4vs+V155JY8//jgvvPACQRAwceJEqtUqHR0dBEEBYxxefvl1jjvuBD7x8SNYtGghUkoWv7mQO+66nfMuOI8LL7qAOA3RRpGEdV6ePZvNNh+PH/isX7uelnIXSWxrs2mjePKJJ7jqq1dRqQyilOLpp5/miiuuoH9ggO985zr22ns/dtxxGo888ljDIPzmN7/JTjvtxOmnn84bb7yBlxX4veGGG9l5+i7cfc89bDlxIlI6WfkBTRrW+cndd/Hi879n1syZ9Pf2EpTKfPfG73PUsSdw7AmnsnJdBdfzWLhgAccffzzTd96ZO+68yxI1R7B2XS+FQsCP7rmHO26/nSsuv5z99/8I55xzLpVKFeEIHn/8SS699DIOPuRQnn3ud7S3tXDrrbexYuUqAJYtX8E/f/t7SMeGM37729cx2DeIIyWe51OrR8RxyuBAlR//6F4cZ6imlnRdSuWAV/70KiedeBK7774bs//4R+bPm8c13/oWzzz7LBdf/E8MDFQYMaKT67/7z+yz9x5885qreWXObLRKGRwc5LZbb2OfvfbljNM+A9oqi77+xiucfvop7LDDVI499hjmzn2NRYsXcvZZ5/CDH9zMTjvtzOmnfZaVK3uQUnLLLbfwkY98hKOPPprZs2cDNDxtrusSBAE77rgjs2bN4jOf+QyXXXYZzz33HD09Pbzyyis89NBDHHfccdx9993MmTOHQw45hP32248f//jHAFx77bV85aqrWL1mNT6G0WM3R/g+DorWji4SASvfXsyRx57Mzrvuy1133EE9DomTiHvv+xlnn30esz5/IaeddjpPPfU0SZIJ46QJrufS37eBRx/5dw444ABOOeUUXn31VYwxXH/99TzzzDNce+213HrrrRSLRVauXInjONxzzz0cdNBBfPSjH2XevHkUCgVGjRpFrVajp6eHCy64gKuvvpp99tmHc889F601J598Koce+kmeevp3GCNY09ODl3kTw3odgHnz53HiSaewww67csllV1IN68xdMJ9vXPstnn/pRS674nLWb9hAFIYkccyXvnARzzz1FJ8+5lhOOf4EVq1ezY9+8iP2339/fvazn4GwZRiefPJJDjvsMKZPm8a/3nc/GHjoV7/mJz/+MYcccgiTJk3i2Wef5cgjj2T33XfnlFNOYcOGDWiteeaZZzj88MM5+OCDefTRRykWi6xZs4arr76a3/72t5x88snMnDmz4TVesWIFs2bNYv78+Y3wyL82hhO19yRtTUbXRBNNNNFEE3+3+MCTtZyc+L7PggULuOyyy5g2bRonnnQis2fP5sEHH0RkBW6NNhSKRW7+wc288MILXHTRRQBcddVXiCJ47rnnuOCCC/B9n1/96lc8/fTTHH744Rx99NF861vfYnBwkE984hP09/ez66670t3dzb333otSinVr16HSlPXr1nLSSSex3XbbsfXWWzPznJksWDCfIChw660/ZO7cuUyePBnX9axKnevyxJNP0tVh60Z1dnYCCZ4Hufp1FEU8++yzVGvVRqjZq6++yqOP/oZ/+/nPOf+887n00ku5447bqdfrvPLqq7zw4gt897s3sHLVKo477jh6e3s56aSTuO2227j66m9wx+138LOf3dfIU4mqVaQrKRQKjB49hhEjRlAqlVi7bi1PPvkkxxxzLN3d3TzyyCOoOOZXv/wlnudx4w03cPddd7Fq9VoARo7opFarM3rUKG6++WaSOOb888/n8ccf54EHHqBnzRouv+IK1qxezZ577MHll13OkiXL6OlZSxxbpb9ly5bxxz/+gSSBai2ld0MvXSO7G8Zka7mFcqnMD3/4Q1577TUyR1Mm/19h7ZoNXHzxxYwfP54P77knJ598Mm8vWcK4ceMYNXoULa2tSGmJ/RNPPM7ZZ5/NIw8/zAUXXkBYr/Poo4/yk5/8hM+d9TmklHztq99Aa7jl1ls49NBD+eY3v0kQBDz929/S2dHBnDlz+P3zz3PdddexePFirrjiCl54YQ73338/Rx55JFOmTOGiiy5i1apVG6lf5h5cqwya0tfXR2trK21tbbz55pt8/etfRynFyJEjuemmm9h111255JJLuPnmm3nppZc47LDDWLZsGV2dnYwfP56HHnqIam9fo6abFPCze37EiBEjuPzyy7nrrjvZsH49g4MVvn/T95kzZw677LwLEyaMQUrJhg0bAJCej4oiHnroIb74hS9w7LHH8vbbb3POOeewdu1afv7zn3PllVfyy1/+knHjxqG1Zty4cbzyyitcd911nH766eyxxx6ce+65rFmzhr6+PpYuXQrA448/zrJly5g1axYvv/wyM2bMYNddd6VcLnP5FZeTqoSFCxeybNlStNZstfVWbOjbwIUXfoFdZuzCl750EU8/9RTz5s5j6bKlPPTrh5g5cyau69Ld3W2l/IH5C+Zz6aWXccDHPsbKlas48KADuffeezniiCO48847efHFF3n++ee5+OKL+djHPsaXv/xlbr/9dlRiRYVuvPFGZs6cyec+9zlmzZrFvvvuy1e/+lXmz5/Pf/7nf/Lss8/yT//0T+y5555sv/32XH755fzsZz+jv7+f+++/n0svvZSuri5ef/11Xn31VQB6e3uZM2cOW2yxxd8uZ62JJppoookmmvg/jQ+8/nKe2F8sFhk7diwHHHAAM2bM4IU/zaNrzBgqtdAqJaYpngNxLWTqVttw90/vo6Wlhem77cExx5/CK/PmMsKp8+Vv/YA9dp/KnbOO5dr7fsOkiR1MqC0gUpobfzWHyz89nY8fchhnf+GLlJOQUUELBSMZWW5DRilPPPKfTN1mMvvvvTeRipj9p5f4l3vv5cR/OJ6pO+3JDT/4PqPMAANGs1r7TEgWol77DwqfOAXipYwJF9HrHYwwCeAhjcLEISKJ6WppRScxRSmRShAIl60nTCIatLlbF33+iwhV5fIvnsueux/GQP9CPn/+Cfzghqf4yb/8C/21N/nFAy+x5VZlps6YwnHHngXCBR1jih0oB047YT8eeWmQL17zHSrzHsYpbstNt/+EnbboZ+r4kdx8y79w6lGH8NQzz3HWWWexYf06PvbR/bnxum9zzTXX2DwlV6IRFMstXH7lV+lwS9SWruDxB3+FSBLGjxvD8f9wPEprfvPUY9z0/RvZ98N7cf+P7uGLX7iIB370Y4qBZmBgHW+88QbbbDuJMA4b6nyxjkAqgsBwwvFHcP7Mz/Lta7+DUgFKwQ/vuJ2BaoUP7bkXnuexZk2VnlUVjjj8SO66606+cdXF9Pb1UG4rc/PN9zF+i3Y+etCHOPWEb/Gv9z/HG28+xmmnXkwxKLHzblP58T3/zoknn8nxn/w43ePGs3jRYqbuuBOp47GhnhB7Lld+46tM2mICW4xvZ+a55+Lq1URGIQsBBx9+GB/aey/Kne0kxtgQWEeSCMMzz/+emRfMQqUKHXmceerFbDXZYcW6Ho487HP809WfZPnK5fz+JcOls75FWxtouYQbv/Nv3Hnnt7j+G1+nr6+ftlFbMsoM4AnJBjmK7nAN7vpenvrjYs466yxcqdhnnwO45ru3cu655zJtxp7ccuP1iKzmXk/PKtrbyihSDIYVGzZw3W13cNV13+Xojx3EaSedwDevvpqnnnyGUvtottp2W66//tt4joNAEFcrEFXZsMBg8gAAIABJREFUvKPEuoH1HHDogey1/z60dXewpmcNSgpqSUypvZULvvQlJk7ckudefIlJU7Zl1oVnc8The/OPZ58LJgST4HtFHFwG1g/QoiWnfOpT7DxlMnPnvs44P2K13IwZ9aeYvP4lDr1vBYfs0AGqRmSKBKaXyfot+k76Lkee8yGmj1jBrBtXcM+dP6JrhOKXD9+OLPby+KOPc+Qnj2KnHXciqgi2m7wTjz3yGIlaxSlnHM8Bhx3GfofuSE/vIJ+fdRHGW0RNH0912Qi+fvuZfPzjB/P5s76CW65w74/u4Ybv3cOtt3yIjo6xXPutq9jjQ7tx6SVf4nvf/WduvuUWnv3ts3z3u7daVdG/0fPxz1pta/LGJppoookmmvi7xQeerAkhaGlpIY5j3nrrLX7605/y/PPPc/rZs/j5z/8Nz/NwhAPCQbgSVzh0j+imo6sbk6aM6O4m8D1cV9LW0cUeu09FG3CDIpMmdhAIQPpsPnEiL73dB9Uao0aPIoyg7Lqs7+0ljK3keKpStNBIV/L2kiVoR3PGGWdkBZG7+NBuuxK4gJIo7eB5gHBZ2zuAVsrmc2WKhn7RIw4Vfsnmcg1WqviFAlrDm2+9RbmlzNHHHsPee+/Lfffdz/3338fgYIWnn32QwcEKcRIzMFBh/fr1HHPsUYzbokRPz3q22aaNVGsKfoGdp+/EQLWCDkNSp0SaguMFeI7BFRAmCqFTthjvg3QZM3YMK1euoLW1lTAMWbPGhphuttlmbLXVVg3BBd/3UUo1RCcIfMZuthnrNqwH6VCpVBgcHGTd+vVceeWVtBZKbDlhC67/5+9w6IEHs2TpUg785OEsWLCABx98kOOOO24jQYb169c3RD4OO+wwfvzjH3PJJZcxbtw4SqUWVq5cQb1eY9Wq1aRpypFHHcnWW23Fht5ekjTFRqAJ0lRRKhUo+D6d3SPYctIEBgb7MFrS27eOMCqCFHz+8+fT3t7GNT+9l8RIPvOZM5ky2ePtpcuQ0iGs12ltsbXUurpHoJVh2s678NN/+SkvvPgC37zmm6RKsfvuu1EcXcRqLgpKxSI777wz13zzGgB0ovCFZPXAi9RrMZO2mohwJL5fYPTocXieVbHccoutGRiYgyPBdT2SNMVohSulLVeRpqRK0dHZSRD4LFy4gCRJ2XrSJDbbcWcC32f77afi+w71uqKlGNDS2opwHKRwqMchURihkoTDDz0MUk1rRyf77b8/q9YNkKYJp59xOr5v88GEAL9YZJfdP8QPb7udOW+9xXXXfYelS5fysy3vY9SoUaisvIUfBBSLRVzpUCgUmD59elaAvkRvby9tLW2sXbuOgu+TpgmdnZ0EhQLfu/FGpm29FTP/8TO0trXjOi5G+owdvyV7TB+NSwppiusKCIps6K/S6kt8x6HU2smECYbWFkAIAr9IFKWUy62sfGsdixYtJqlJtpm8DVtM3II4DXh98Uo8KfEoZ6Iy4IgA3y9Sd6066YxdP4QD6Chmn3325Yc/eoz+/j4AZsyYgXAcvnDhhRx00EHMnzufpUuXcvbMc6jVNEHxAx+00EQTTTTRRBNN/B3gA0/W8gLEnuexYMECHMfh5ptvJhKBDSkUVvbb8X3C/vVoIVi+fAU9q1cxasxYelasYf369biuSxxblcW162oopXl7ScyE8T7Uary9aDGjN9sVymWWL19O4ANhRHd3N+1tbaxbsw7P8zHasO2223LOzLNIjeKp3z7BmDFjGBgYIElCwgTaVWIFNbJrGL/5eALPdnWlWqGLFDT4BYlKQrq6uhg9ejQqSTHC4de//jWTttyaXz7wS3bbbXfOO38mM8+ZyVVXfZX1a9fS0dHJgQceyG77bIHvF/mPXy+k3JJQKpV49dWVTN52DCNGjuA3v3mUz597JrV6naDLhl1uqNcZHBwkiqDg+5aEpoAKSas12tvbqdfrTJkyhRNOOAEpJcuWLaOnp6dRP00pRXt7O6NGjWqEqVqDvEjg+0yfPp2TTzqZWlTnvvvvY+S22zF69GiCIOAb3/gGQRAwffp0LrroIgYGBvjqV79KGIZUq1W6u7vp6OhAKcWIESPwPI+vfe1rfO6zM3nrrbeIoogRI0YyY8YMTjvtZMrlIs899wLFYhGzfj2FIKBWiyiWCpkE/SCjx7QQJzF//OMf2W233ZDS4aijj2LLiW3UkgFuvP4etFZ0dnby9Wu+jR8U+MOrc+kfrNDX18eIESOoVCp0dbRZ4YxCwOwXX6ImWzjmqGPYZ++9OfSww+jt7cX3fFpaW1EqxXW9rHg2VGsVAqcELozpGk29XqO1tYzEJU0Vy5YupVSCSgVenvOyldB3slqCSmW182w+nEpTjNakUURHRwezLvwCOo55c8kS3lixhiiyxcWrtYRyySOJNRsyAgzguV5DyfHOu+7k7BP/AaMEV111FV+89MtoY0jihCSBQqPmu+Hll16iXPDZY8892evDe7PPfvtQGazQ1tZGsVigUCzQ09OzUbFoIWyZh3o9ZOLEiazbsI4JEyZQq9dxhMPiRYuorl9PqVTiljvugGqF8ePHE4URjpQorfAARSZsUyyj6zEjR41kxObjUbUaCOjvH6BUAi2ykhnZs+Pwww/jkEMPAQV/ePFFisUCC159m/a2NpQxxLpOd3c3tRoEbQlaaeo1B9fz+O3TT7PvbqdQq1Z5/oUXGOgfoLu7m87OzqyeYcLIMWM4+JBD+N5N32OzzbdEKUtuP9jVK5toookmmmiiib8XfOCXf9va2gjDsFG8dv369SxYsIB77rqLN157lVf+9CdUprxWaO9AOpI333qbCy68kEULF3L3XXcxfrNxTNpyIkZ6CGDUiBJjt5rCwR/dh94exarFS3j4wV+w+y47QD2kWCriOUBQINVWWdD1PVKV8uG99uQ3jz3K7bffwUsvvcQFn7+ARYsW40kPKSQFF3AkkowJK4ftd92DtxbNByMpdYxAOlCrR9RrMVGcMGHCFoRRzA9uuZn/eOQRwihi2Yrl9A/2cdnll/KHP8ymZ10Pby99m7b2Lo4/4SR+8tMfUaukPPXkM8w87x/p6upkwvit+exnT2PJ0qXst89HGD1qBOvXr6NYLtuBVuDIgJIneOqxOcSxxsQ1VAgUWyAIqGTlDFpaWrjpppuo1+vccMMNhGEIDNULW758OWvWrCGOY9JqBdf3ka7LxAkTmD17NnfdfRcLFyzguu98p1G/brfdd+etpUs46NBD2H777VmyZAkTJkzA930KhQLd3d3U63WMMaxcubJR3HnatGkcedSRtlSB73HSSSfwwgvP8+///jAvvjibSy+9hKVLl9Db28uaNat58snHWbVyDb5f4tOfPpZXXn2Nyy65klWrl3DkUYcxacspnHf+WcxfuJLbb7+TJ574DZ4veevtpSxbvoLFi9/k1FNOY/68+YwbM4Y4DLPi6x6jRo8hDGP6qnUuu+wyHn30P1ixfIUlB/0D1lPk+ZQKJZI4JgpDBNBSasH3HSpVqEQRY8dMoLevn97BQSaM25KlS1fyiwd+T1+/4t77/o1LLv0iCBisVPB9D+m6xHFCFIaUWsrgOLgF6zG78frr2dDby/e/9z2MSnEdSOOIYtEyrXoUMm6zcUjXhpliYML48ey71z788JYfMn/efC74woUUy2Wmbr89aRzR2dFG4GPr4wmI6yG9AwMcecwxvLl4MXPmzGbUyFFW/l8b6rU61cEKxSCgXCpRr0cYpYnqIY70aG/vYtGiN2ltaWXRwoV0tndQCAqMHz8BIR1q9TpvLV7MT+//Nx578ikG1y2njsfqvho+YOIk89hB4HmsWDtA3L+OoNTGQN2QJIMIoFKpYrRky4nbMGPn3fmnL3+Z5559jvlz3+Z737uZYqlEodiKUgZXCKqDIb7nUi6DR4k0EQSlkM985mx+/dCj/PpXj/Gbx57ga1/7Bp884uOkqk4cZ/eClCRRzCc/eQSz/zibzq4OpIRi0UGpJltrookmmmiiiSb+cnzg66xFUYTv+yRJwtSpUxkxYgSLFy+m1NLKiScej05TpkzehiDwMXHM6p4eXn/jDU78h1P43e9+x2bjJ3DhF75Ae1uJQBhaR21BwZdM3WY8Y6fszAu/f5rKinkcetzJbLvjZMqeQBtB+4jxlISiUCozbtxmjBg5kvETxrPLbruy554fZu7cufT193Haaafxkf0+YkPACkU2GzcOX2hbh83xKOkqEyZswa+fm8cBO29DS0cnxdGT2WbCKFKVUCx6lMotbDt1KpXBCtVanaOOOoppO07jwIMOor+/n9VrVjNv/jz2/8j+bL3Nlmy/w464MuDR3zxMX98AF15wCdttP5kjjvgk5XIXr772Msd96mim77wrO03bjs6ONsAjiQ0treC6HaztWc70nSbQ3rUt202dRClIMMZlzOixbD15Ettvvz09PT0899xzzJgxg0MOOaQhcy6EoFwus/nmmzNt2jSCoICQkpGjRnHAgR9ji4kTWbFqFUuXLOW8c89lrz33IkkStt9+B1pbWjjyqKMptZSZMGECRx99NGPGjGnI37uuS5qmjB07ll122YVSqUSSJOyxxx60tray07Qd6O7u4uBDDmbuvHksWDifo48+ho98dD+2mjSJ1tZWevs2sMMO2+MIw6mnnsErf5rD6DGjuenGW2htLbHd9pPBSF555U+0tBa49NIr6OpsZdToTn777HMseXsJsz5/IfUwYvLkyRSCgA/vuSfScRjo76VUKnHUUUew+YRJzJs7l3Xr1nH2585il513Jo0TpLR116IwwnNdJk3aCoA0TcBoyiVb5qC7Ywu2nDgCjWH69Bm8+vIC3nxrER89cAb77rU/2kCpFNDe0UH3yBEIx2HylCm4nsvELSay1VaT2Gn6dJYseZu58+ay3Q7bc/Dhh6KShLbWFkaPGo0BVq9cyeuvv8b+++2HEJCkCb7r8aEP7c4O223PH158ic3GT+Ccc2YycdIkSuUyU6ZMplwu4zi2hITrScaOHcPUqdvxyuuvs2ZNDyeecCK77bobxkCxWGKbrbfG9wO2nTKVjvY2BDBu3FgmbL4ZKonpHjmKHaftRGtbO9tssw3lUomurk52nrYTI0eNYtGCRYwdO5ZPHnMMNbeDrUc5TNx6G0ZM24sW10HHIXEikCha28qM2m4XJo1toSQVYyfuzJQpWyFdQanoMGrkaHabsTvjN5/EH/7wB3r7+vjwh/dkp12m40hNW+cINtt8AlrV0algiwmTcGQNKV3GjpzC3vvuyIc/vDcL561iQ99Kzjr7HI48+ng8T9DVNYLJ22wF2Dnb2trKIw8/wllnnUNHVzcgEI71jDbRRBNNNNFEE038JRDGfLADdpRS1Go1isUitVqNtrY2W49MCAYGanS2WQ+G77ugUxYuWMi5M8/h0cefRKcKJSQis5pcVWdQFQl88OO1rHVH4jvQXl9DFLTSm5YY44bUYnALBXydhXNVa/hlW2w4CkOCYgGVKowwWXhljOd7KGAwFHT6EbGQ1HDpSNeCUlx4zb1cd/E/gOsxKDugUqO1tYTWkc25cxwwwoa7IRBSWnVEAUmY4gUuRoOQCXG9jl9sA2HVFcO6Q1BwSJIQ1y/ZItvCoRamlAogVIzWJaQEpVbjOGNQGoxeieuOA0DIOmgJxgdpQ9jyYtD5dl6zyhiDEKLh+XKFi6rXkaUicRLjBz6xtjlMBkMaJwS+jxQOGAjrdaTnNo6VS5+HYdiofZeXa8il8AFUqpGu3Q7DmELBp693gI7ONowZCj8zGhyp6OvfQKnYjusKHMeA8UlTEDJCpwGeZ4mL53rEscF1ajheQJrEGCfAkZJU2/YJoyn4PklUwQ8KJPUqstgO2BBQBMRR3KhRBmAyecs8hNGkGk+6RGYlnvRI6yPxi4NWVd0YHGVDJnEHQGXXJIfuhSSK8IIAnaY4rotRCqU1ruexYd062trbqWpDqeCTJGkj9HbfffbljttvY+IWWxBFddrb7Xn6+/tpb29HJwmOa8c6UYbUOPieIFUgUHhSktRrGKMJigUqUWjH03GJ4ojAD0hT3ajVFicpvucyMFChra0FVIrj2LptQkq0MSitEdiagVLYMTVJghAOCME64zJCrwAhWOuPo6BiWiVofFRUwyOkJ+gi0P20M0BqxmMMaBSeG2EwSARg1SNrAzFegC0ZkFbAK6CMC6IfaYpgfKJ0OUW/SFLvxiv2ZZ3eAW5CVK/jltpIYkPgC4SBOKzzwAO/4KFf/5rly5fz2ONPIn3rzdTAsKFrookmmmiiiSaa+G/hA0/W3gu52poVOjON98ULF9LT08MOO06jXC4jpEuUKHxP4piUVFgD1tU16o415Iq6SoJH4viUdIwWEi0k7sYnybYNJquhZBAbSbUrbcARSJ2ihIMSDr6qAPDUSwvYustj8623pqIKBMLgug5iI904kcnX/xnybSIFk6UcigSMg9YSLWIcIRENK1/Zc+jMiHSqOKklntod2sZNwTj29X49Apv2k7AfmU0+hv+NuNvsunBsPwEYD4TKtuWwBqaNFhqcd5SlEjBsvDTm/aZ8muxUopIdogWcaOjo2hImnAh0MHTS9wEtIIxjwBD4AfMXzOfhhx/m/PPOw5UuznvqFA7dSe9+3UOFusz7HdnGdQ8/xjuPgBH2BYQOFJQlTDXZgYfCQ2PwQCuEVgy6Pr6pE1DH0DXsgMmwY3uNNgxdkMqeGA4Q2zmARGw0LrVsuwSO/bFCoJXBlQKTKqqVKv945pmUW8qcd955TJ8xA2UsKdVA4DZda0000UQTTTTRxF+Gv1uyZjb5Kzf6VJqilMIPAowxaANaG1xXIowmzVbxXRMRCWsQByYiRaKES2BSNA4K8ExmbIlhZxSGhhsHgTHCeoKE0+BajlFoIdDCwdU2v2UgdmgLsEp+sgSp9VJJsUn3/9lkLR5m3NctcTMexoky49MFoTFGIwQIZYlFIkO8xCovxl6En9g+UJ5GGIFjxP8YWWtczvBmZ+9/OzM2M8aNtP0EoItDJMkEGYmAhiuT4TNqYwxRGYN5v1fRIC1ZO0xxiEAiQGfkz0mHtt8nWVNo4iTBzTxYruvS27uBzs6ujJ6YdwyK2agm2LuTtY1/9G6rGO/RF/ltA5uQNTPsCCJvSIOsJQI8UwUgcopINC4GYzwwGmEMdSlxTYRHhKFt2InUsKPKjdphv9AYY+9fhMrO6SA2GpdsfuhgI7JmtLaiL1FsnwFaAwIv8KnXaxSyOnCpMXjNWmtNNNFEE0000cRfiA+8GuR7QbzHX9L1QDg2JEobHMdphM4hnKE9hTsUpmSchmpdbqQ7ww2tjZf/rV1tFOAgsqNoA1LkRqk9jwQQdmW/4AnSJEYIiYMVbbCn2MSg+7Ptu+HWp0JrCRqEk2ZGbxZCJ8QwCgIKF88MbefQOP99AiU2ec82zbD3d2v13wZDBCE34t+5nX8/1APvPQxDF/u+TfHGD4YTMTn05fDv36VP/xxYH5FBCINBE6cRnZ2dKJXgyk1u94Z76885iXiXrfeBjeb6e1DhYe0Yfu+46AaFzO5OENZn5ggH8DY53rsEIG60w7DnAMM9q3LYvsO37Q5RHOG5nlWo9H0whupgBSklnudRLJYwQJzEaGNDLptoookmmmiiiSb+EvzdkrX/ClLKjd4BkiTB8byGOZ4icTMPQep4CDRSJ6Q4OMIavBt7HHJjMctD0srm6LgSKZ2ME2TEQDh2P6PRWTii5ygqiaBYCCCNcL3gfRAXM2wrb5MecghhQx/txSUo4yA0CKmysDYHG+IHKS45UYmRFBvE7b9phPPuPxwyy9/9/a+ez9MgIjoL7wSIh32Xb5eGQiL/6v4+hfVK5Xr4KY1bcDijHr79vqHxfZc4SfA9n2q9iiMdpJQbzzcjGn2kNzndprP+f2Ts3nFNG7m6hs6V7eNo0I6fna+C7SfbVzprumtA46KERObjib/JoYeIur0PNiHkBuwqh2bocRgB1uNshrU5VQkF3yeOEhwXHEdSbmt9x6X6no/+X1iWaKKJJppoookm/u/h/2xShVLWANdZftnw3LJ3g8j2EU6es/RfwxbS/fMtamMMhYI1AF3XGoX1sP5n//79wEFkdZ6aBuP/31Cv2lyrfI4VCsXGPdDEX4Zy0eZ3GmwdurCW5bUphUkVYVgnTuL/4ghNNNFEE0000UQT7w9/x2RNwyZiCQZIlV3T3pisaYQw2d72b/ttCqRsGKxRD0MwCXk4mjGq4VXYOIzPhpcJYZCOJIpSenv7qVXjbM+sTUaDUSgyr5VRaCDSgFFEcUgQ/L/CpMw7Xptm/eTZNLVaSmUQlI4QQuMMy7Mzm163UY225X0wXBDk/WLTVg7Hu3lp/rYU0gx7y0Zj+Pawlr2jXf/Fhf33rmHY/AC7vdGx39mm94tCMSCJQsCQ6ASZqWm+a2pqliP2zkvUw15Dc+gvHrvGAcQmHwtyYZOhu1pnM5Psf73RYZQATIJBo3EY6juzSUPzsR1+52zaHp39Nve8pe9xnxniJCIIPBwpCQoF603Pinf7foDnSpI0ysKkm2iiiSaaaKKJJv4y/N2QtSRJqNVqJEliiVjkQGLD26I4IQSMrqGU9Va5cQ1URArEOCSOi0gjBKBVSoAmSQTgs375Em75/s0gCnzy0I+zoWcDOnVxSInCSibK4BBHCq08hPGpV60oQW/fWo499kiee/4JYqVRjosykCjQxsGJIjyjEcJFVauUBSSJIPALaCXRJiFNI5I04sQTj2f9+nWNa9YatLbniWNDmoBDiklDTOohHBuOqZOR/OpXD3P3PT8gqraCKKKJAYnW1gDtrWlS6VM2EEmBDnw60eBL8CUlsuC8/0b4ndjktenneYFwD/Cz118djcaUwPGyCLeR9uUCdNuXQ6NV77j097qwd/75Z8IlD6+z8Dc5vs04G8qTev9nEU6AF7TgCJ/AKeDgEggfT7jInIwIBxzRiCx0h86MAwicxsv+PzSG1l83fO+NQwvf2aBNX/mG23iJ7J8z/ByOM2yudGAl+G0unxTZ544tRG+DSovZSww1SdBon8BDZGL+Tt6Mxn6bjkt5WJNFYzeJQ8Er4CDxfM+WBHHs4o4b+DjSwRES3w3wxP/JCPMmmmiiiSaaaOJvjA88WUuSpLFdKpXwvCzfxwEdGUgVxnFIDaQqxfcDlFY4xSJohStd6kndkgYpWb9+HVK6KKXwPI8wDBk/fjwnnngSSaJwXZfBwQquK6jV6xQLBcIoRCtNEAwJGZRKPsYYRo8azfXXf5ddZ8xAm5QwVMRxShTVSdN06EKEoFQqs3ZtDzITenDdIZkKz/WYM2dOI2Str68PxxH09fYC4PsSRzrUKlWk65Ik9tjSlTguFAslgiCg1FIiTVIrtAJUBq2iXmtrAa2tx9FzPaI4ookmmmiiiSaaaKKJJpr44OIDv/wrMpGPer3OkiVLuPDCC5kyZQqqr8aanh6m7rE7vRtWMW/eK2y5/a5852tf5hf33Mljz71CqVSmVlnPjnvvx4nHf5pf/ORuli1bzsBAP5Xq/8fee0dZUaV7/5/KdVJ300032URQEEEUBFQMo4NZcUwwggETimJAxFHHNNd4DYMYUEd0xsA1jA7ooDiCqDMGBhFHkZwznfvECnvv94863Trv77739/7Wb617mbXqs9ZZwDndVbuq9in2t57n+T4FRh19DBMnTmTPnj3Mn/8+69etZ9u2bTwzaxb33nM3y7/9ht///g/YtsvqVes4+qijuP6GG7hs4uUcd9xxfPrZJ8yY8Sj3P3A/06ZN5etl37Fq9XqUCGhqbOC4Y0dx6cUXU8oXuOWWaWSqOtHY0IjA4Df3PUDnzpUIIWhsauLuu++mR4+ePPDAAzzwwIOsXLmS2bNfpEtdF5Z+/TVHHXkUU6ZM4Ycf/sGcOa+hayZr1qxn5IiRTJx4OYmEi6ZpeCWPBx98gEIhR1NzA/vufyDXXn8jpqnjujZSaYQi7KhpiomJiYmJiYmJiYnZO9nrV+xKKaSUZDIZCoUCO3fu5L777uOQ/gdy2/XXs+jLvzPvP54lt30FP5/yBNu2buPFx+9l0uMfcNLow2hZt4rREybTa98DyeayDB16OCeffDI7d+7iiiuuYsyYMZRKJWzb5sEHH+SMM8/immuuxvN8rrnmGi655FKuuPxKUqkM5513Ae/O+zNNTU3MfPJJli37O5om2bRxE7Zt09rayqGHDmHCheexcf0GJl11FePHjeXhhx+mX78Dufyqq3DdBOddMI7q6kqCABK2SZe6Lvz28ccZNuwIpk+fjud5XHfddcyY8QRHHDEc0PjluHHMm/cujz56H1dPupqLLrqEhJvm3PPOZfr06Vx44YU0NzcT+AFbtmxh5swZJNMJ5r27gHQ66qvW7jNhGibFUhHTdf7PJz4mJiYmJiYmJiYm5n+UvT4N0rIsdF0nDENaWlrwPI/99tuPUmMjjuPQp09fHMcgmUzS0txMa2sTtZ1rOfKowwDosd9+9O3blzVr1oCCQYMHU/Ki3lOe5+E4DmEYEgQBO3fuRNM0bMti0+bNJJMpzj57DKlUmiAIOeKIYeiGTlVVJyZfcw2maZJMpqit7UxjYyNSCg466CAAqqtr2LptK0EQ0NzcxH4H7I/rJigU8vTr14/Nm7di2z+6VZY8jy5duhCGIdu3b8c0TQYM6I9lGQghOOKIIygWi5iGyRlnnEEimQIdRo4Y0ZFumU6ncRMunudx9pizmXLtdRxwQG8A6utb0fWyk10QkHAT/wNXMyYmJiYmJiYmJibm/5a9Xqy1u9jpuo7jOKRSKVpbW3FrMrQ272H//gMQfp5i4zaqevUlny+yb+cUrT6UAEKfLt32JRAGhUKB7du2U92pmkQiQUNDA0EQ0KtXLzzPI5VOR7Vihknv3r0plYokEgk8r4RlmfTt0xcNjV27dnL00UfjODbNzc3PWsYvAAAgAElEQVTs2LGTbt26omlah3DSDQPbtnEcB9BIJBLksllcxyWVStGlSxc8TxIEAdlsG5UVlbS1tWHbNnV1dRSLRcIwcpRzbIsDDzoIpSSlUhHHcfDLNWd9+/XriD7ato1pmTz22KOcf8H5fPnll9w87Way2YDa2koAhJA/1v3FxMTExMTExMTExOy17PVirb1mTQhBMpkkl8tF7/kBrutimRah6VDTpQvbt22n1/7dWbN6Da+9No9t23N8sXAhn3/+OcOGDiWTyVBZWYEf+GSzWfbdd1+EEDQ1NSGFIJVKglJs3LiBwPfZZ599ePDBh6ivb+C9d//MC7NfoEuXOtxEAj8ICMOQyspKHMfpGJfj2ASBRMoQ0zApeR4jRgznz+++R6lU4ptvvmHhwkVIKTFNHU3TSKZSlEoldF1n7dq1mKbJAQccwPz588lm87z9zp94/vnn6d2nD3369OXBBx9k967dzPvTPJ579jkOO+ww0KJzFHg+T858kjPOPJO/fPQXDth/fzzPY+fOep5+5jlKxcgt86fGLTExMTExMTExMTExex97vVgrlsWFbUdRrP322w/f98G2AEWhUMDQYf3q1dTW1ZLu0pm3FizglVde5ZfjJ3P3r3/NO++8zfARB+N5HslkEtuysSyL7du34zgOSiks28a2LcaNG8cdt99BZWUlr//H61RUZBgzZgyPPf4Y48ePZ9SooxFhiKHrmKZJfUM9vXr1ZNfOXUgpKRaLWJZOIV+gV69eFAsFLhg3jt69D+Dkk09m6s1T6datK0JKDCM6LiEErusyYcJF3DxtGslkkldeeYWFH33EkUceyYwZMxg3biw/+9nxzJkzh3QmzTnn/ILHHnuM8eMvZPqvpoFSmKaJ5dhUVlXxs+OP57jjjqNbt244jsPiTz5l7tx3KZQb+Wr/Hxp6x8TExMTExMTExMT896Op/7Rb7t5FGIYdaX4NDQ3U1NSgFXLgOBRMG1O2YWsF1npdqTNaqVR5Ws3uSAmdgiy5RIZQQgYfQzcpeSVMw8Q0I6FkGAZBEGLoBrqhIYTCK3kkU5H/Sls2j66ZpNMplCz3aALCUGBaOkpJ0BRK6ShNp1TwSSbKfbukYMX331EqeRx+xHByuSzTpt/Ok08/QRiCDHM4jktDQwN1tXW0d3eSUiKlItuWxTQt0ukUmgZK+miGTj5bQCmddCrdIbn9UkiplKeiqoJSsQCaRDeT6JYBQKEQkEpaCBFF/TRkR+uAqBP4j3+NiYmJiYmJiYmJifmfZa8Xa77vY9tRa9wwDAnDyHbeRIMgJG852EYR3Wsh63bDDfO4YZ42VRXVcAUFinYSTQNHlAgDQSKRKKcB6hiGgaZpKKXQdZ0gkGhlEw70kITrIoRCCDANo5y+aFLyQhzHpFQqkEgkCEMPoXQM00ZTEPo+jmNTzOco5PM8+uijSE2jWCgycPAQLr70UoRQmLqHoZsoJVEKoquh4fs+yWSyLNrA0HWkFPh+gWQqiRQgBeiGTuCHGIaBaRkEfgAaWGbUcFtgohkGSoGQChH6OOWaNUMnFmsxMTExMTExMTExeyl7vVhrp1Qq4brtFvQSXeoEbTmM6jQaIUr55EmQIETLtaDcWkwTlAxpDhVJx8JF0NLSSlVVVdkJMnJEDMMQTdPQNANdh1LJx3Vs0MLy5wopwbYtSkUf1y2LRxHieSU0DZJJFz/UoibVAEpRLBRIJsv78H1M2yXwfXyhcJORbb6OoFAokEqmouP0fFzH7TjuwA/RNB3T0ikWSiSSUbRPhqBUtD+AUtHDdZ1Ic0mJpiny+Symm8EoR9aEAClDwsAjlUzFkbWYmJiYmJiYmJiYvZh/GbEGkSlGGIZYloUpzCj9zwRPKZSuYYocmmaj6zZaUATfp2inMCwTXwbYYYhtOwgRomkGUiqUUh3RtT276+lcW4eGQtM0AlGMXCKTGXTdQAiJrulRlM2EUAhMs73sTxAIhW5YZFtzVGTSRGVhEhEE+H6AIjITCaVCMzRKJUnCFuVonVWOGloEQYhSCiEkiURZoIoo/VKExXLtXQZNN1BSRYJLbxdwAk2PIm5CeAh0dNMmCME0QNdAiCgSp6NisRYTExMTExMTExOzl7L3GIwoASrqOSbLr+j9EEIPGXpIBW4iQahpKEMSamFULyZDdCVBmei6iRAhgdTATWLrBjIMSGgWpmahpEYQgADaigV0y0LhE4ZFqqsSGLpCKokCbNMhYSdQUqFU1D4AJdGjQBW6plEqFEFBLpvH0E2CICCTSaGUIAwDRCgwDAvHcUgkExSLBQxDI58v4ro6SilM00JKiVIaYSixTAvbsrFtGykVnlciFB4KgWHZJNMZhJQIIdB0DT/0UUoRSh/DMhBKlgWZhaEb+KUQS4EmQYbN6MpEk+CrPAHgSZB4KOWDCsihCEQJCk0IBaEIgELUCyGI/vCEh0CiQoXv/+gs2d43TkkJCrJtWVAKKQQdeZ5KoYh+RwgRicT2FxIhA6IrBEoqUNF8EFIiZDQ7lBJIEURzRkmklHhegCrPnTD4cbsq/Od9KKk6xtr+rKK9LrKd//3fvu//ON7242zfnojGFIY+QgZIJRBKdOxSCBXVJwoJ5eNBRL8f+kF0fOWxtLt0to9LyCh9VQFSKMT/dixBEJQ3JxFKggxACXwhQfogffKyfA2lTyEAoQTIAFneVuCVOq6Lr9SPxwUoEZ38ol/ClyEhEkIvenogJKJ8pUL143kDgR/6+IGH+Ml3WSnVcVzt7SY8z/vxFlB+L7rughBFiAI/REhFXkZfXBFKsn4J2qfUT+4Z5a23X2hQktD3gGjbivIlUNHn0bWSHeMMJUB0z0GFKEnHMaKicyulxBcKPxSEUqFECEqihN9xLIEi2m95DO1j+qkLq5QKISWhkD9e0vL+w7BUPnGF6CVBqALgoRRIpfBFCCjCwAcUSgpk+b32l1LR3AmEJBA/zueYmJiYmJiYfw32HrGGoH2p9U9irbxU0nWwbAshwcOgudCCbmoU/CIi9LE0UMqgVPQwDRPLdkG3QCpczUL5Al1oaJqG69gI3SCdqSAflJDKA83HcnVA4XthObqkY1qRW6QGZFtbiN4tj1MI3EQS0Ei6KUrFEpZl4QceUko0TcMwLdB1NN1A03QSiSTFYpFUKoFUklBEDbl13Sg3ADdobGpFiGgIxWLUV822bYrFHJpmROmahhGlQGpgWia5fA7bsUGLFsx+EJLNFVBKI+GamDqYAiyzhF8EXWm0lZoI0ZC6hqBIrtQCCFpESKgC0D0KJSIxK1shBAJoDX10w8BXPpquYdsWuVyBXC6PUhAEkdCJhGuGxvo9SBFSKuTxiwW8Qp4gKCClxDAMPC+MrqsfLZkNHYSMFr6eF4maXCGPRKHpGrlsW2TyIqM5IwMfFNiORRiCH4BuGhAKCEI03QAhkWFIqeyGCZH49n2fUqmEaZpomoYQoiygo3TTxsZGstkstm1TKpUwjEipF4tFim1ZGnfvQdN1CoU8pmmQz+eiayACiqUSfiDQDY3o13SiHguSsCz+zHL9YFiOprb3wNM0LXLu1KFQLLFj+x50XYt+LpAILxJ5lml11FuWpQilbAshOkgP/AKhDp4QUGxDs0D6HuRbybW0RtswotuA73nky4KjWPSj76CmgQTLdkDXIrHml0BJAs9DAl4IXlgWWUqhZIBlGliWiQByxSJBEETR6rJY0TSto3ciQFtbG5qmkc1maWtrQ4qQEIFAgaZT9Eso3UK1ZJGajmG7kdgNfyJ0/h/3lOhOYpbTgJVS5AtFlAZKSYqtzWgaBFJRCqFYAk0HKTxkUASi72ZboRQ9WhAeQamArutohoYXBGi6hqZH+9L0SDzv2LEDWf5ets/RQi6HEqKjF2MYhmi6hlRRFHzz1u0o2s2LwkgYhoDKAUWQYGghuWIjEgiEhm5EczRKhY6+G7qhI8rnWAoRzWfAMHQ0Yy+63cfExMTExMT8X7HX/+/t5/JgGEjfw/dDdD1alFVXVKIDKTeBbVo0NjQQhiGJRAKlFNlsjiAU6KYOOph2lAMY+NDQ0EahGD3Rdy0Xy7CxDAtRKpFrayWRtMnlQ5DRgtQ0owV0RWUVmq53NKRubysAoJsmSouWi67jYpomhmESlKKfDYMAUW6YnUhEdWy6pqNrGpZl09bWWn4Paqor0XTwvDDq/QY0tzSTSkV1bYVCAVFeiLW1taHrOslksiNKYRgGiUSCTCaD55Xwyw/bC6UiMrBIpqFY8qhKdMUAinmFhUvGzUCpiGtYeDLKMbUd0HQdU3ei2ZIFQ9ORMsDWTKQnKfk+qXQSzTAIRYhpmSjKi1UNauq6oDQNN5XCSiRwUil0PVqst7W1oWQk0BzbKAtNH0M3yi0NInOUVDKF53loaKQzGUQYopsmMgjQLavdmQXTBMuKagQxjOgVhUWRSuEmkx0RnHw+j23buK7b0SdPKdURRdN1nZqaGpLJJEEQ9fXLZrMApFIpEpkMNXV1yDDqAYhSJBMJpBTYpoXruhiGRhhCNudFkcBow5iOS/iTqJJpGOi6jhCiYx+u66KAVCpB9x51CBE9ANBMHcO28IoepaIXjRuQUoseTqQzICRBaxtYZpQtXE7XlYAfhpBMUlFTHT0RkCA0CZZOWhmUNNCSNkabH0WvDDAVSD+IBKFjoYIAK5GIrrMJmvbjrUQrv+r37MEreaQTCSzL6mj6DtDU1ASUI4NKkU6nCYKAiooKKioqMMxoDhWDSFwblkVJltAyGQIZ/tO+5H+VyP2jaw9hGJBKJvADAVqAa/towkAXBo4JrusBHjopdCdDUAhReg6llWtIdQPdslFK0dySI5FwKZaia9r+EMCyLLp3707Ji8bole8VyXQKzdA75pZpmoiOCC/s06tHx99Bw7TssraPcpLD8tRJJ9LReQsjESbL9baB53WcCL1sKKTpRnQey+dH/pcnKiYmJiYmJmZvZK8Xa3Y6Eii67WDbJj/8sIpi0aNYLBKUVzCGYdC5c2cSiQS5XA4hBJmKNJZlEAaCQqGEEKDKUZNkMkkq4eAJn1CFlPwSUkkM1yVdUQlAOm2CrmPZVpTSB+RzOUQYYjsuge+Rqajgqy+/BKChfg8JNxJWuVyuY/y7du1k944dmKaFUY7WKBT5Qh6FIghDcrkcFeX95nIFikUfXQOzbB4ShAGdqjqRy+WQUpJMJqNIipRUVFREaVm+j2maUd85wyAIAnK5HLbtYpmADsl0oqPJuOs65P1ogZlORe/JwAfHJQQsHZpWrmTTJoWUCtke60xDS1srhUKR1mwruqmjaTpBKEgmXHRdp1gqdkSq9uzZEx3zT9LkfN9H1w0aGhqoqKjATdhs2boD3xeYpolt/ej+GR1/ZOaSTCQ70uSklJFgK0ei2uvspATfB7MsCtC08vVTGLpO6PtROiuR4BJCdDhvep5XFtkGxWIRpVRHNK39d9ojbqVSiXy2rX0XKClpa2ujqbkpmpsiGruu6/hBgGEYGJZFMZelpbEx+qy8rWhOQDabxTAMMpkM2Wy2I/K3YeNGlIocQdsJvAAn4dDU1EQQiEi0SAlhyMaVKxFCYFVVgh8QSECE4LpoRL39CEN8r0Q+l2Xnps1oRA3aLcv8MbKdsFH8mJpoWhYSgSoU0GwrSm3tGL8il8uVz1N0Merq6ki4Drl8NM8qKio6HihUV1eXz53WEWVrj0bv2LEDr1hERydhJaFQxFA6ru6C50UPY0p5IIoY6dp/FlVrH5gCTSP0fWzHYc2atWzftj3adznS1NTSigJa2qLIuRTQtGc3pVKR1tZWkglobBS01dejK8n27dtJJpMUigEJ18IvFnGTSRp27mTTpk20tbXhOiaB7+G4CcIwZOOGDWzZtJlkMtkRnV27di0tLa3oepTu2j6NhQjoyEMt36JNCwpegea2Jr79di2WpUfprERzz7KiVGqkjFKjff8n3x9BKBRG3FsxJiYmJibmX469XqwBFFuj6Es2m+eKK65gxfff45hWFA3z/Kj2RkYL6/YFeNH38YVA6Aor5eKpAM00UQiSSRM/lDiGjaGZ2JaDjk7gRbUfQRB2LP78IEpZahds7TU3vufT1trKggULaGlppnNtHUKElLwS6XS6o7Zp8+bNzJ49+8capDBEhKIjUmRZFolEAiklYTlCY9vlRbz24x9CRJ9pmkapVOpI1RMiqqFxHKcj+hOGIUII0uk0UgkKJYWQBdB9vLwDWhua0UpS74SJQAQFwoKOrjk8MP0WXn5jPlIZPP7Ec0yddhtCRVE+wmgwWzds4ovP/kp1ppLA8yMHTFNHKIUEDNPClwJfCKpra2kr5NFMk2IQoFs2mCZhGNK5c+fyolKxT6/uKCRCCsIw7Ej/VAqkFJiGSbFURNO1KMKm62hEAlwKgabpHYLQtqNaq2I+jwzDqBYpDJHl+h1RFlLt5jJR+qleNnWJBH17ewfXdfH9qCYwangeiUPTNHGTyciXRSlCIVi+fDnr167D0HQ0pVBS4vsBiYSFkzAJQ4FhWlTV1HTU8SkZpUQqpchkMgB4nkc6nSYMQ2xbZ/Pm9axdt4pCsYBpmshQYDkWfilg1qznEeX6N9MwQWl8tuhjtm7cDH4Iuo5OlBEKkC0KfM0AQ8N0XZRpMPuZZ8kLH08pKEgaQ48WGUBOEJQCipqCkkAEYaTiXDtK9dWiJOWg3HswnU6jo6GEJN/SRuj5KD8kUW78DnSIsiAI8H0fwzDwfb/szurg+z7du3fHME380CeUISQT+MJHocBxsKQi5SYRfsDM3z6B5wdRPZ/88aFAB+WHE6Zl8f789zn33HNpaGyE0OTVF97mtNMHM+e1pznjtF/w7My5hJ7D7197hIcefZA/vPZ7pk17jqXffYeZ9Hj33Xd55JFHeOONN5g27RauuOIKABoam5h6ww0888wsXn75ZcaOHcumLTujyLrv85cPP2Ts2LG0tLTg+z6ff/45xx57LO+//z6/vuMOHn30cXQtSh8WSqEbZjQXZVSHtnnzRl743RySTpJcNseEiyawp74JQzP+Ke1RSEkoFUEgsB0H3Yiid4ahRWZH/zpeUjExMTExMTFl9n6xJgSJygpU4KNpWlnMJNB1M6rj0A2++OyvzH/3PX733PP8/MSfs2z5chYtXszJp57KuWPH0lYosHHrVp7+7aM4TiSE3nprLgv+shAN0LVIvFm2y0uzX+CUU07h8ssnsXb1akqFAps2b2LKlCnMnDmTo446ivvvu49UJoOmaTQ2NlJV1Ym/fvYZzz//POeffz6DBg1i3rx5QCQS+vXrh5SSNatXc9dddzHsiGHc/8D9uI7LqpUr+fdH/p358+dzzDHHMO6X42hpySJk1CutWIzSMA3D4L7772Pw4MFMmzaNbdu28cwzz/DAAw90RHvmz5/PPffcg6ZpPP300wwZMoQbbrgF19VA93j5lef5ZNFXDB3al+uuvYgV36xDhC0kLMFfP/wb11x4Ccu+/ILnfvcyb/7pIyQWy//xPTfffD9njTmLT+d/TLCnhIZqd2Jg7py3eP3NOQw4+CCOGjWSr79ZGtXQ6BrX3TCFE0afyOMzn2DOW29iWDa+kghdp7W1lZtvvpkvvviCk08+ldNOO4s9exoiQxXfZ/aLsxkyZAjjx1+M6xgUSwV27drN6aedzrChQ7n8ssvYsHEjmmGwbcsWrp08mf79B/Lcc79DSiiVijz15JOMHDGCC8eOpa2lBcM02b1rF5OvuYYhQ4Zw6623ks/naWpq4o9//COnnnoq55xzDnPnzgXgj3/8IytXrmTixIlMnjyZpUuXYpomuVyOJUuWMGPmE7Rl29BNE69YJJVMogHJZJJXfv8yI4YP54ILxrLih9UoLaqjy7VF0biWpiYuvugijj7qKB597DFEGNLY2MhLL73ESSedxHnnncfChQsBQTbbQiLpkEy5fPfdt4wcOZzjjzmeZ55+BtOwKOQj8SklYFroEipSGR79zW9YNPddfvfCm5z081N54qGHSCYMEB6YRqS7Ekma99Rzwy1TGXXicfzmmuvRTQelW3z0zIt8+8WXtEkP2vL8ac6cjhTEe35zL4cPH8ZjM57hhZde4YeVqwg8H03XKeXyvPTCC3y79GuefvJpnpv1HAsWLOC8887j9NNPZ/Xq1ViWxcKFC3nwwQeZOHEixx57LA8//HBHmuT333/P2eeMYfjI4Vzxywtp2L4LDY3Xf/cC7777LmecfSYTxv2Sd975ExeOn1B2dv1P7h+axp6du0DTmDt3Ll26dqWyspK25s3MnfcUTz+ygCmTpvOnd15h1AndCfWdfP7xTh56+AkmX3szQ4+p5tNP1pNMJLlw/HiuvPpqbrrpJlas+J7rrp1MfUMzTz/1JA0NDfz63nu4/vrreeGFF8hkKsnncli2zdy5c9F1I4oa2zYffvghr776KjfecD2/vvNOXn31Vb77fgWapvNv9z2E73toWhTp/Nvnf+P222/nT3Pn8tKrvwdDp6pTJx59/FEOGz6Uiy8cR6GQp5jPs3tPPQ899DBDjxjB3HfnUyj5UZqqrmPoGuonkdCYmJiYmJiYfw32frFWroXRyk+bgyCIIiPtKzPDoC2X46677uLDDz/kqKOPYtKkSdx7728YP3483bp1Y/bs2XTt2pUdO3bQ1NSGUrBhwwYGHDygw5jANg1mPPoIs2bN4uwxY1i3bh3nnX8+Jc+jVCzx/fff8/777zN58mT+Y84crp8yhSAI+PLLL9mxfTstLc289PuXOP+C85l+6/TyQhsaG5uYPXs2+XyOayZfw9vvvM3Um6by9ttvc/U1V1NRUcHzzz3HjCdmMHnyZOrq6njzzTci8wQh0MupS3PnzuXrr5dx//33s2TJEv785z+jaRqLFy8mm81SLBZ58cUXSSaTvP7667zxxhtMnz6d5uYm7n/gCXzPZ9269dx5550MHDiQ7j168OWXf0fKaAH3wu9+x4EHHUQ+n0dKSZ8ePenWrRuZdAbbsRkxYgS33XYbDQ0NNDY2sXbdWpCSd955h5kzZ/L4Y49z6qmnsXDhQoLQ54EHH8TzPG6aOpWPF33Mhx8uoLWcNmgQpb19/PHH3HjjjYwfPwEpJTdcfwMA77//PrNmzeLXv/41juNw990PkXCTzJ79Ao7r8NRTT5FMJnnpxRdBKW6aOhXbtrn00kuZM2cO9957P/Pmvcu8uXO5/bbb6FRdzcyZM9m1Ywe33XYbqVSaqVOn8ve//5158+axevVqbr31Vi677DKqqqp48skn2bx5M/X19YwdO5atW7diWRYvvfQSLS0tpNNpvv76awYNGkQymSQMA9IVFWzauIn169Yxc8YTzH5xNhMnTqR3797cdNNUGhva0IDqujoK2SyXX345fXr34fLLL+etN99kwYIFLF68mKeffppJkybhOA533XUX27ZvY8+eenbs2I7vlXjooYe46KKLmDp1Kh9//DEff/wx1dVRDWRkuiL57rvv2Lx5I57n8cADD/Daq69x8SWX8Pbbb7N8xcYOU5O2fFQb19bWxp76em6aOpWG+gZemTsHH8myZcvYvWM3STMJ6TSrVq8mYbo89PBDbN+2nUceeYR33nmHRx55BCE1rLLQcpNJ/vSnuUycOJE5r83Bti1uvfVWunXrxqGHHsqkSZP44Ycf2LVrF6+//jr9+/fnvvvu46OPPmLJkiUAPDFjBoMHH8qdd97Jps2bePOdN/HwWbFiBY88+giO7XDQQf3RNDhp9OifuED+BKVQoaCuW1eeeeopho8YQT6Xo6mpiXw+R1NjI6tWreaUU07jwQcf4uCDB5KwEjz19KMAbNq4hRUrVnDwwQdH27NtKisrmTFjBp7nMeSwIXSqquKb5csZdcwxXPTLXzJp0iQ2b95MTackmcpKHn/sMUaNGoWua/iB31GP2B5pdF0Hy7YxTZPvv/+ebdu2EZY/Uwo6d+5MRWUFpmkyYMAALNNk2/bttLS0cNedd7JxwwY+/OADQhFyzjnnsHDhQiZMGM/999/P0qV/78gIiOZHnAYZExMTExPzr8a/gFgDwhDNMJBSkk6n0ZBIz+soULJtmx49evD6G68zZcoUkskEs2Y9w0UTJnDiiSeSTCZxbRulBEHgIaWiubmZus61SAkaOq0tbfz+pT9w333/xpVXXc6HH37A6J//nOuuuxbHsdE0jT/NncuECRN47bXX+Otnn9HW1vZjuqGQnHfOuYy9YCxjx46lqqqKfC5HJp3Gtmz+8e23pFNp/vrZX7nwwgt59rln+cc//sHWrVupqalh1jOzGDduHOMvvJBFixah65EBiW1Z+L7Hs88+yxHDhlEqlbjnnntYvHgxEyZMIJPJ8Pzzz9PU1MSePXuiNNEVK7jsssvQdZ2jjx7FO++8Q319PW2trVx11VU8++xz3HjjjaxZswnHTvDlV19Q39DAFVOmMHz4EZx//lgGDj6QpqZmunfvxr13T+P223/FoEED+eTTj5EixLYclNKoyFSxYP58Tj1pNLf/6lZampvYs2c3f3zrLW6/7XZOOPEE3nr7bRLJNMl0BqW0qCZKRXU2999/PxddNI67776L7du3UywW+OKLz7nxppsAGD58BO/9+T1WrV5FfX09r776KiNGjuSpp57iyKOOZNFHH7Fp0yaGDhvKIYcczLBhw5g/fz7FYonuPXrQls1ywQUXcMaZZ1LVqROmaaLrOt26dePee+9l1KhRtLS0MGPGDPbdd18OPPBAisUiFRUVBEHApEmTWLRoEXfeeScrV65k7dq1BEHAtm3bOPLoozBME63sepNKJjENE9eyUWGUTnnmmWcw5YYp6JYWuWSGIW67+Uvgs++++zJz5kwGDR5EOp3moYceomfPnh3R2GQqSbsFe0NDI/v06sWkq6/m9DNP580/vkmXLl0plQTtjvBhsYht29i2SxAEdOvejffefYPxE87ngM7xH68AABljSURBVAMO4KuvvkKWTTfSyRRCCrp27cqcP8xhzOlnMeW2W3nqyacoekUcx8W0TPLFqAbTtm227NzKu/Pmccev7+C4447nzTffpK6ujlIxF4kjKVFCYBg6P//5aD5e/DG6rnPggQdyyimnMHLkSIIg4JVXXiEIAm688UZuvfVWjj76aK6//np++9vfsm3bNrp06cL0adM567Qz+fDDv7B+/QaQkXPihPETePv1t7jzN/cwevRoLr74onKqn8Y/CTZNQ6K47ze/YcOGDZw9ZgyWbZNKJQk8l7amFH9dOos7772WwDc49YQp7NxqYiZ2s3Xbet597w32bOnMrqZvoxo+EbJ+/XreeOMNZs6cGdVAhiFeqcScOXO46KKLOe2005g+fTp/WfgZ9993H5s3b2bM2WdjW3aHEVCpVMK2bUIhsCwTDWhqbGTQ4EH8dsZvsSybUAo0Aw46qD+333EHPzvhZxw25HByhQKda2uZOnUaJ510Mi/87jl27drBo488ghCCW265hX33P4BuPXry8COPEYSinHodlm39Y2JiYmJiYv6VMP/ff+R/GE2L7OaUwrZt1m9Yj+d56EkX6fnojkOhWIgcCy2LpKaRa8tS06kaHUi7CTa1tuGYJkMOG8wHH3zAz352At2798CxTQIBDQ1NJF0H13U55thj8MKAZNLlyKOOZOWqVWXL/QTpZLRwHjhoEMlUikKhgO/7kf24pkViwIjc90QoSKXTSKXI5XMUi0UGDBhAdU0NRa/E4UMOxzANiqUiVVVVpFJJdD3ahlKKIJRYpg5a5LSXz+fZtXs3tp2koqKCSy+9FNd1ueCCC3j66aepra3lsssuo7q6mlKpRFtbG9lslkxFDXffdQeOXUFbi0f/Qw7AcWoBSHXSWL1+OzOffolzfjmGZEUSM5kmnXAQmkFlOoGhC9BCHNPAdgyUFiJRBFKiGQaa5WDrGsgQUzeore5ExnWRQUCnqkpc00HDQkmFpWkoDYpeiOM4SCnp1q0boNG9ew+SyQTZbJZOnappqK8HaVEsFrnpxptwHIfa2loSbgJNRa0BTjrpZN55+x0SiQT19fW0tBXo27cvw4aP5LTRJzLmtFN45NFH+f3vf4+Qgnnvvcfsl15i0cKF3H3vPRiGwbhx48jlcrz55puceOKJ7LfffjiO02F88Ytf/ALDMKioqOCUU05h1qxZ3HvvvVRVVeG4CXwZ4hgmpVxbVH9X8rjiyiuZcOGFfLVsOXffcy9bd+xk8d/+Rhj4OIkkMgh48Q9/4LNPFjN12jSSiQSTrr6aL776kiVLljB69GgGDBjAJ598QjpZSWtrjrraruzcsZt99tkPHR0lFDoavfvsj24YeJ6Pbumk0ik8ERLIgFAKvCAgk7HQQ0FNdSdEECKVAUS1cq7j0m2fXlho+FLQo+/+mJ7AQSIqHOpbmqhOpKGtyK6GBmzbQgYhXTrXYaLRrbaSzjU1mKaDEALDMhFKUgp8Rp9yEomUi27qeJ5Xjso2cumll9K7d29Wr17NqFGjMMoPYnr06EFzczNhGNK1a1csxwI0tFSS2s6dMXQd3/M59NBDo3uDruH5PkJILCu6lUVN3n8UbK+8/DKffvIJFZ1quPyyy/B9n3N+cQ4zHv41tT0NJl32FN33r6bfgOF8vuRUVm9ezO4dfRk0eD+uu+5mTjxtGWeeeztn/PxcKl3FRx8sYOTIkQw5dCAa4JU8Uqk0J/78RI4eNQo3XUVtbS2LP/+CJYsWUlVVxVVXXklTUxNXXH4Fk6+bAkQGK2F7IaGmUV1dg65BImmiEUU+dcALfZSm4bg6Gjol30OhcBIOummQTrpoSlK/exedqmtYuWo1Qre5+NLL2LVrF65rU24LGfUbjImJiYmJifmXYu+PrJVDBmEpMuM48MADqajsBESOfIQh6UyG7t27Y1lWhyNdXV0d+UKxo06kUPI4bNgRPDNrFr/5t99w8IB+AFgGHUYXQkje/uMfcW0bPwx48403EeWeSKZpltOTND795BPCIMCyTFzXxfNKuK5Lc3MTzS3NSCWjnmeArmvU1NSg6TpLly6lVCziui5Lly2lfk89qVSaQqHQUXcW1cE14ZVKkcugUiglqaqq4ozTT+fmm2/miiuu6BjT6NGjcV2XxYsXc95557Fnzx5qamq45JJLuOmmmzjn3HP4/PPPqe3cme7du5FwyzbkSPbdtxevvvIKq1atYuwFF4AQ5PM5giAgoQuaW5rp2bMnrqPjS5+azjVomo5hmx0GHIlEgkQqhabpeKUSXsmjqamZzp07s3XrNgByuWyHM92exhYSjgkKWltby4YeYDs22WyOikwFLS0tnH322UycOJFrrrmaTZs2UVVVxZYtW2hubgYUumFw4S9/Sc8ePcjnclx88SVcffWVnH/++axfv56//u1vmKbJ/fffzwsvzsbzfAxd51fTpzN48GAWL17MrbfeSnNzMx988AGTJk3ijjvuYPTo0bS1tZHJZGhpaaFz584IIXAch0svvZSvv/6amTNnUlsbCd7243JTKRzbxnRcXnv5ZRZ9/DGjjhnF+++/j2mZbN++A1nupt7a0sI9d97J4EOH8PGiRdx2221s3ryZtWvXMn78eO6++24OOeQQpJQ0NDbQtWs3fD+ga9eurPzhh8hcxYx6lq1auRKlIJ2OTDyKDQ10794dKTVqa+tIp1LkihBIHdt2sC0LywB+0jZg48aNtORaMHWT7777Dl3XsSyLrl26UlNdTVNbMwiBH0RGIGEo2LE96gu2Zt1Wtm/bTuAXkeWm9mYigWGY9OsXfcdM02Lw4MGce+65XH/99eyzzz4dpi4LFiyIRJ5hsHLlStLpNL7vs3XLFpJ2klwpiuotX74cEzNq61Cut4u6YCsSrv1/vH2cPWYMJ59yCqeccgpnnnUWUkrOOecc+vTpQzab62i/0drayq5du+jSpQsvvfgipuOAUjS3NZNOp7BtoNwT7dxzzwUi0510OsEBB+zPN8uW4bpRT8b33nuPuro6zjzzTI4//nhGjx5NKEKGHTGMQw89lK5du7J8+XJcx2bTps1oGtTV1RIKRVAOfgklkBIs08b3PXLZyPI/mUySy+VIpVIYGKRTaUzTZOiwYSiluPLKK7l60pXU1tZSVVVFEEQCrb1lQExMTExMTMy/Fnu/WGu3THccPN9jx/YdFPJZFIpkVQXKNMgWcqzbvBEpJaYZ1bYZaGSSCfxCgWJLlgrHYZ9ePcjlsnzyyWKGDRtGoVR2aBSKTGUnjv/Zz/j3f/93/v73vzP9llv45ptveOzxxzFNg7Vr1nDWWWexft067rzzTlKpFLW1dTiOg1eKel1VV9fQqaoTuqZH0QIh8P2AbFuWw4cOpbGpkXHjxrFs2TIuv/xyDj74YCoqMqTSaZLJFKWSjwgFlVWVpFKRlbyua9i2w9lnj+Gtt95i8+bNvP766yxZsoRisUh1dTXDhw9n/fr1SCmpq6ujrq6Oc889l/Xr1/Paa6+wdMmXeEWdXTvayHs7QVXgl9L0O6Q78+b/jf16H0amSxJcHdwECxe8x5ad9WiixNYta0EJCsUWpAppbNqNEIKmtiy65ZAteuSaGgGFY9vYuk6f/ffnyOEj+MNLL/HN18s49aRTsAyLbLZEl5oqcnkfz/eimrhMBl2HfC5fvtw6Aw8+mMmTr2X58uXMnj2bv3z0FzKZNLqu88knn9DU1MzTTz3F4MGDGXHUUWQyGV595RU2bNjMuHHj+Oijj1i9ejVn/+Jstm7dwtIlS0gkEmzfvp1//OMfvPzyy2zbto1PP/2UZDKJEIL58+dHdYrnnUexWGTp0qV07tyZoGy7L6WkZ8+e9OjRg08//ZTBgwdHtY6201F/VCgUEGHAurXruPeuu/n8b39jyZKv6NGjB7lCHkvXEJ5HVaeyIc1zz2LbNp9++ilVnapoaGhg9erVfPfdd0ydOpUtW7awZvVGdu9uYM+eJnr07MnWrdv59NNPWbNyNQ89/BDZXBumSbk5uk6irjMbtm5GGYrdDfWESNIJsExoaW6msb4hMiKxHJK2S1AssbOpnrdeeY2t69fz3id/YWT/QdTpLpm+vfjsqy8gW+KXV01EWQbpdJoxp53OC88+x9dfLeG6ayZjEEUhrbLroxIhe5oaac5mCTU4eNAhfPTRR7z22mssXbqU6dOndzTBfuONN1i0aBG7d+/mww8/5NJLL6Vfv35s2bqVt+f9kZbmZq6/4gqGHDYEiMSKpVsU/SLS89m9ezfz319AKPhP3SBNy+LGqVOZeNlljDn7bDLpNGeedRZ9+g6mW/chTLz2ND7/+18Zd+FldK4aTJeawygG65n15CM07tnMnBc+5rAh3Ui7gGWxYsWKDhHaXk97yimnsmrVKj78YAHPPPMMX3/9NUcfPZIpN9zA5Ouu48Lx4+nVsxe/+tVtDBo0iLq6Oi677DJWrVrDvHnzGDXqGKRUlIpFbpo6jdZ8K7pmRE2ygYSbYN3G9Xy/+vsOV9l8ua9bc1MjSkr69e1LWzbLPffey6q1G7huyvWsXrs2al1Rzkr4LxocxMTExMTExOylGHfffffd/9ODiBCADpre3tGL9ja+7fbsGDadOlVz4MBD6FSRiJ4Wa5GY2WeffejXtx+appHJZDjggANQMrJgr6utpVfPnvhBgaVff8eQIUM4/awzEGGIZRl4hQKmqfOz446hX/8BfL9iBV26deVXt9xKnz59qK9vYNmyr7niiiv49tt/cOyxxzL52muprKzEK5U4etQoAFLpNN179kDXNJQiikq5LrWdO3PY4Ydz0sknYRgGG7ds5oyzzmTq1KkkXQddN+jTpw+JRBLTNEml0vTvfxCabqDrGs0tzYwcMZIw9Pnmm29pbm7moosuoqamBqUU/fv356CDDmLgwIGUSiUOOeSQjroq23b41W2/oqoig+s4HNi/OzpVJBI2gVbg7bcX89sZj1BbbROEIYccPIi8ZlLnwGEH9abbQYM46KDuuLZA+RmGDDucZM/O9KzrSk1tNRWJCvof0ofQ85EqSs3r1asXVZ2qSSVTrFmzjvPPv4Ct27ZzwgknlJsz61hagJQG/fr1o6KiE0oJKioqGHhIfw4eMADbtli7ZgOmaXPvPXehWzpDDz+c5cu/YeUPKwgCnwnjx5NMJPjFOeewYsVK1q7bwBFHDGX6rb/iyOFDSbgJvv32WzzPY+q0aXTt3p1TTz2VDRs2sH7DelKpFOPHj+eYY46JUmzXr+eSSy7h8MMPZ/369QwcOJDa2lps20ZKiVKKlpYWtm3bxpQpU9DMqJ+dqRvoGhiaRm1NZ04/60x67bMPq9aspb6hgV+cdz5HHHEEpqaDEBiWxWmnnsq2Hdv56KOP2GeffTjjjDMZc/bZNDQ0sGvXLsaOHcvAgQPZXV/PiOEj6NO7N7ZpM3ToUL766iu2bd1Gly51HHnUkfTt1xulonYCoZdH03UO6D+AbrWV9Nn/ALoNOBRL+lSYBgOGH03PzpUYwgfdRdc1LNNAM01Wr1pD5+5dufPW2wiDkD4H9qOxsZ7vvvueY088jj4HHcjAAYfQo6oCy0myaes2TjjpVJYt+4Yzzzyd7nWdCcMQTZMkM2kOOeQQUhVV1FRXM2zoUNauXcvOnTu5/PLLOeGEE1i+fDndu3enUCiwbNkyRo0axfHHH4+u6xw25FCWffcdGzZuYL+arpx/8cVY6QRaIWC/fn2wUklSjothmezcs4tBgwZHzbi1qLF8RFSbF7W3UJiWjeM6jBw5AjfhcNZpJ5PpVMOGjTs48uijmHbzTdTVpTl8yGFsWLeOFd+voP/AgVx7w/VoKCwEpumwf+8+hFIrN3EX9N5/H0YceSTfLl+GbjqMGzeOQ4ceTljIY1kWvudhWTb77rcvyVSavn37UllZycrVq+nUqROTJl1FRUWGfD6PYZoMPmRA1ENNWBhGEdM2ybYozIRP7969qerUnQMP7INlm1SaYKfTDD/qKEYd+zNyuTyr1q7nggvOZfTPTySdSoIMy11ABJpu/Tfe02NiYmJiYmL+/6Ip9Z8aXv/3o3zAAM2gvQzeBFAeQT6PlUwhdQffDxG2SQJBLp8jncoQhD62adPWmqWiogJN05ChRDd0wiAEpWHaBi8/N5PHZ73EwkWLsCsqMQ2QChIahF4B0zZA0/C8AMtJoAKJYZp8u3w5d9x+O6/NmUOmooIwCDAtC69UxHEjJ75ioYCTTOKLAMe0ovTFUKCExCynRHqlEo7rRvbnuo6u6SD9/9Xe3fPGcZxxAP/vzM7u3vFI004jp3CRRmqDRAELNQEMQk3gQIURKHBqInCjwIAAFuoSCII+iKBS30EIoLQs1EumG0URKd7ty8zspJh7ViPq+HaEg0P4/wGCyOPt7M7skpjnnnmBVnEREa1LhNAjgwYywNoWVVUCCHDOIsDD5PF83vthXzkhe1XVdT0MU8yNQdNYjIxBcEBW/oSu/hJdB/zwj79gY/Q77O5+j/XiEFnQQOtxUG3A2Ckm9QH+HX6JzY0D6OwAaL8CpjXeflFgfT4TRjWALpo4XNXEoWNQGl///mv8+je/xZ+/+w73friPb775I/76/Q6mU4vJxECHKdomzgVEiPdBZUAfOljbwRQ5vNMwuYF3AAzgbIfCFAg+buOQAUN2w/u4NH7TOBRVjuCBPHhAaXjnoE2OrmlQVBX63s/necX2apo4jLXv+7jZ9nzYo/w8hIBXr17hyZMnePr0KR4/foxbt24h5DkOjw7xxWQDs3dvsfbZZ+ibNu4ll2WA0misgy5ydADyPqDsQ1wYJ8/RtS2KqgQQh1NaZ4chiLLvW9dnMBqYHjUYlxW8a1GU8ZjeegQdhs21be9RZPNhb1mBon4LFAUO9QTGNhgph1pPEJoO49wBKm7i7rsZdDnC4bt3MJ9/jmq+b1qfAe2sxagoMUPcMHzmavzt2z/hy69+hT/c+Ra7f3+M/f0f8eJf/0QBh6qq4N0MKi9hnUXdK1RKoZxnvJ1zMMbgzZs3ePbsGW7cuIGtrS0opTCbzTAej9F1HYpcoZ1n1UsLdCpDpzNMOqDtLXxlMHax3VSVDzmjuCX3/LuQzNHKNJxzaFoL1wMbEwMFh7otoY1CrwAjQV7noPMerp4hXxvjP1ONyZqG6Wsgy+F7hV5rdG2Hqiygg0Mzm6EaV3h3MMPm5iYaAFWY7wGoFOq6xnhtDc7F7H/btlA6Rz/fT60qDabTGsVohFzFIaq2KVFVcQN1736BkB+iR4/ObyLXQBcsNkKLvnVQ1RhHtcd4PIIF4AKQZ0Dveozy+cbwrkFWfPh7QURERKtvdYK1/4GdnR3cuXMH29vbwzwZCWwWkXlhL1++xOvXr7G1tYXxeAylFo8e7ft+WJgizjWLTSuvAYC1sUOutV5YxvHypNMu13KZ5bdDCMiyDLPZDO/fv8f9+/fx8OFDXLt2DQCGoOUyrLUwxmB/fx+PHj3C3t4ebt68iXv37sV5hNMpRqPRiW0IYMhiSbstU2fZ4FprjSzL4sbmIQybWl/U3t4ednd3sb29jZ2dHfR9XM1S7rXcq2Xvj9QX+HDf06/lHNIe3vu4Qfa8rc7zPJ1EzuGcg1Lq1HsDAEdHR3jw4AGeP3+O27dv4+7du7h+/frw/IQQhg3ftdZD3fpkGXkAePHiBdbX14el8eV+SZBMREREdNVdqWBNOpNtG7ME1tpTg5O0cynz4dKO9CISpB0PMo4fJ53v0zrZ6THnef9JZaQBpFxT2jFPv5Zg66Ln8N7DGAPvPZxzw9BBaUO5DgloTqpHer2XqbccK3VedE/OSwIPay3KMs5R894PGzinv0LLXquUs+iZkTZMn580iAshDO87K9A67bzphwsSOC3SNM0QTKUfSmith/l7cqxce9r28pp8ACE/v8w9IiIiIvp/tPpL9/8MpENd1/UnHeSUdHzjnJdPO8zHSWAhnec04JCOddopPatTn57rPO8/Txne+6Esay2KovgoSFsm86SUGgIYrfXQaXfOXThDkgan0m6XCX4kgEmzUxcNaIwxQ3ZThina+Sqlx8tb9lrjqpgfMmQS2KbtkJ5Pvk+Dm2UCNSkj/f+sekj2LL2uRcct+nn6mnxgkmYoZZgkEREREV2xzFoqzSKcJJ2zJJ3MNBtw3KJATV6XYWCysiBweuc6DQJkCN8ywyDPU8/zDn87i/d+qHs6DFGCpPSaTuqQS/tKgJxmXi4irfdJQwwvoptvvi71XJRFkpUjlyk/zWQdLze9/jTzmbbrZYeMpvfnrOGcaVsAmC/nH7OpxpiPMq1p3SQglXua1pmBGhEREdGnVn/p/p+JdICbpjnxPbJxswRLXdedmnGQjJVksJqm+Wi4mszHkdekU76IDGuLy/erpTuxEiRKJkg6xem5JcOx7F5MsldVWqc0uFRKIc/z4d95ghkJ9qQOy5Dj2rYd6r9MICWBiJD7KIG3tJssDLKMEAJms9nC+WfpMyqBjnMO1trhmbvMfDnZK06yomeVU8yX6BdlGTeUl2Gw8rw2TTNco5SfDo2V3xMpS55xeZ6IiIiIrrorG6wRERERERGtsis7DJKIiIiIiGiVMbNGRERERES0ghisERERERERrSAGa0RERERERCuIwRoREREREdEKYrBGRERERES0ghisERERERERrSAGa0RERERERCvov0FrQSLDdYZNAAAAAElFTkSuQmCC" alt="">
Java BugDatabase
内存泄露:在计算机科学中,内存泄漏指由于疏忽或错误造成程序未能释放已经不再使<br>用的内存。内存泄漏并非指内存在物理上的消失,而是应用程序分配某段内存后,由于设<br>计错误,导致在释放该段内存之前就失去了对该段内存的控制,从而造成了内存的浪费。
JDK 7 中的substring,创建了一个新字符串,避免对老字符串的引用,从而解决了内存泄露问题
上面提到的问题,在jdk 7 中得到解决。在jdk 7 中,substring 方法会在堆内存中创建一个新的数组。<br>
在jdk 7 中,substring 方法会在堆内存中创建一个新的数组。
Java 源码中关于这部分的主要代码如下:
Java 源码中关于这部分的主要代码如下:
以上是JDK 7 中的subString 方法,其使用new String 创建了一个新字符串,避免对老字符串的引用。从而解决了内存泄露问题。
所以,如果生产环境中使用的JDK 版本小于1.7,使用String 的subString方法时,一定要注意,避免内存泄露。
public int length()
获取一个字符串的长度
String china = "欢度60周年国庆";<br>int n1,n2;<br>n1 = china.length();<br>n2 = "字母abc".length();<br>
public boolean equals(String s)
用于判断String对象的值是否相等<br>
比较当前字符串对象的实体是否与参数s指定的字符串的实体相同
String tom = new String("天道酬勤");<br>String boy = new String( "知心朋友");<br>String jerry = new String("天道酬勤"); <br>
注:tom == jerry的值是false<br>
内存示意图
public boolean equalsIgnoreCase(String s)
public boolean startsWith(String s) 、 public boolean endsWith(String s)<br>
判断当前字符串对象的前缀(后缀)是否参数s指定的字符串
String tom = "天气预报,阴有小雨",jerry = "比赛结果,中国队赢得胜利";
tom.startsWith("天气") true / jerry.startsWith("天气") false<br>
tom.endsWith("大雨") false / jerry.endsWith("胜利") true
public int compareTo(String s)
按字典序与参数s指定的字符串比较大小
public int compareToIgnoreCase(String s) <br>
String str = "abcde";<br>str.compareTo("boy")小于0<br>str.compareTo("aba")大于0<br>str.compareTo("abcde")等于0<br>
public boolean contains(String s)
判断当前字符串对象是否含有参数指定的字符串s
<div class="mind-clipboard">是否包含指定字符序列</div>
tom="student";
tom.contains("stu")的值就是true;
tom.contains("ok")的值是false。
public int indexOf (String s)
用于检索字符串
从当前字符串的头开始检索字符串s,并返回首次出现s的位置
类似API
indexOf(String s ,int startpoint)<br>
lastIndexOf (String s)<br>
String tom = "I am a good cat";<br> tom.indexOf("a");//值是2<br> tom.indexOf("good",2);//值是7<br> tom.indexOf("a",7);//值是13<br> tom.indexOf("w",2);//值是-1<br>
public String trim()
去掉多余空格
得到一个s去掉前后空格后的字符串对象
其他方法
charAt:返回指定位置上字符的值<br>
concat:用于字符串拼接, 效率高于+
join:字符串拼接
String的方法equals与==的区别
equals<br>
比较的是值。
用来比较两个对象内部的内容是否相等的。
equals方法没有重写还是比较对象地址。
重写equals方法后还得看是如何重写的。
==
是用来判断两个对象的地址是否相同,即是否是指相同一个对象。
用于基本数据类型比较的是值
用于包装类(引用类)比较的是对象地址。
比较的是对象应用
请说明“==”比较的是什么?
如果两个对象完全相同时,“==”将返回true,
“==”两边是基本类型,就比较数值是否相等。
若对一个类不重写,equal()方法是如何比较的?
比较的是对象的地址。
<span style="color: rgb(255, 0, 0);">equals没重写时候和==一样,比较的是对象的地址</span>,题中new 了两个对象,所以各自地址不一样,使用equals比较为false
Object 中euqals的源码如上
public boolean equals(Object obj) {<br> return (this == obj);<br> }
没有重写equals时,是直接用==判断的,而String中重写了equals方法。
String类型中的equals方法
Java默认重写了,可以比较对象里的值;
两个对象指向的同一个string成员变量里的值相同,所以equals比较也相同。
String类重写了equlas方法,类型不同返回false,附上源码(jdk1.7)<br>
子主题
正则表达式及字符串的匹配、替换与分解
正则表达式
一个正则表达式是含有一些具有特殊意义字符的字符串,这些特殊字符称作正则表达式中的元字符。
比如,“\\dhello”中的\\d就是有特殊意义的元字符,代表0到9中的任何一个。
元字符<br>
元字符
限定符
限定符
字符串的匹配(match)
public boolean matches(String regex)
match:正则表达式的字符串匹配
String类的match方法
字符串对象调用matches方法,可以判断当前字符串对象是否和参数regex指定的正则表达式匹配。<br>
字符串的替换(replace)<br>
replace、replaceAll 和replaceFirst 是Java 中常用的替换字符的方法,
replace(CharSequence target, CharSequence replacement)
用replacement 替换所有的target,两个参数都是字符串。<br>
replace()替换字符串
replace:用于字符串替换
System.out.println("abac".replace("a", "\a")); //\ab\ac
replaceAll(String regex, String replacement)
用replacement 替换所有的regex 匹配项,regex 很明显是个正则表达式,replacement 是字符串。
字符串对象调用replaceAll方法返回一个字符串,<br>
该字符串是当前字符串中。
所有和参数regex指定的正则表达式匹配的子字符串,
被参数replacement指定的字符串替换后的字符串
替换符合正则的所有文字
替换的内容不同,替换所有匹配的字符
代码
String result="12hello567".replaceAll("\\d+","你好");
那么result就是:“你好hello你好”
替换的内容不同,替换所有匹配的字符
替换的内容不同,替换所有匹配的字符<br>
replaceAll()替换所有html 标签
replaceAll()替换所有html 标签
replaceAll() 替换指定文字
replaceAll() 替换指定文字
replaceFirst(String regex, String replacement)
基本和replaceAll 相同,区别是只替换第一个匹配项。<br>
替换第一个符合正则的数据
替换的内容不同,仅替换第一次出现的字符。<br>
代码
<img src="data:image/png;base64,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" alt="">
用法例子
以下例子参考:http://www.51gjie.com/java/771.html
字符串的分解<br>
public String[] split(String regex)<br>
split:字符串分割
字符串调用split使用参数指定的正则表达式regex做为分隔标记分解出其中的单词,并将分解出的单词存放在字符串数组中。
例如
对于字符串 str=“1931年09月18日晚, 日本发动侵华战争, 请记住这个日子!”;
使用正则表达式:String regex="\\D+"; <br>
做为分隔标记分解出str中的单词: String digitWord[]=str.split(regex);
那么,digitWord[0]、digitWord[1]和digitWord[2]就分别是"1931"、"09"和"18"。
使用String.split分割字符串对比与StringTokenizer分割字符串
使用String.split分割字符串,注意处理分隔符中的一些特殊字符<br>
java.lang.String 的 split() 方法, JDK 1.4 or later
异常的代码示例
public String[] split(String regex,int limit)<br>public class StringSplit {<br> public static void main(String[] args) {<br> String sourceStr = "1,2,3,4,5";<br> String[] sourceStrArray = sourceStr.split(",");<br> for (int i = 0; i < sourceStrArray.length; i++) {<br> System.out.println(sourceStrArray[i]);<br> }<br> // 最多分割出3个字符串<br> int maxSplit = 3;<br> sourceStrArray = sourceStr.split(",", maxSplit);<br> for (int i = 0; i < sourceStrArray.length; i++) {<br> System.out.println(sourceStrArray[i]);<br> }<br> }<br>}
预期外的输出结果:
1<br>2<br>3<br>4<br>5<br>1<br>2<br>3,4,5
进一步解释说明
split 的实现直接调用的 matcher 类的 split 的方法。
在使用String.split方法分隔字符串时,分隔符如果用到一些特殊字符,可能会得不到预期的结果。
在正则表达式中有特殊的含义的字符,使用时,必须进行转义,
转义后的代码示例:
public class StringSplit {<br> public static void main(String[] args) {<br> String value = "192.168.128.33";<br> // 注意要加\\,要不出不来,yeahString[] names = value.split("\\.");<br> for (int i = 0; i < names.length; i++) {<br> System.out.println(names[i]);<br> }<br> }<br>}
split分隔符总结
字符"|","*","+"都得加上转义字符,前面加上"\\"。
而如果是"\",那么就得写成"\\\\"。<br>
如果一个字符串中有多个分隔符,可以用"|"作为连字符。
比如:String str = "Java string-split#test",可以用Str.split(" |-|#")把每个字符串分开。这样就把字符串分成了3个子字符串。
使用StringTokenizer分割字符串
java.util.Tokenizer JDK 1.0 or later
StringTokenizer 类允许应用程序将字符串分解为标记。
StringTokenizer 是出于兼容性的原因,而被保留的遗留类。
(虽然在新代码中并不鼓励使用它)
建议所有寻求此功能的人使用 String 的 split 方法或 java.util.regex 包。
样例代码
public class StringSplit {<br> public static void main(String[] args) {<br> String ip = "192.168.128.33";<br> StringTokenizer token=new StringTokenizer(ip,"."); <br> while(token.hasMoreElements()){ <br> System.out.print(token.nextToken()+" "); <br> }<br> }<br>}
但是StringTokenizer对于字符串"192.168..33"的分割,返回的字符串数组只有3个元素,对于两个分隔符之间的空字符串会忽略,这个要慎重使用。
但是String.split用的都是按顺序遍历的算法,时间复杂度O(m*n)较高
(String.split是用正则表达式匹配,所以不使用KMP字符串匹配算法)
性能上,StringTokenizer好很多,对于频繁使用字符串分割的应用,例如etl数据处理,使用StringTokenizer性能可以提高很多。
字符串与字符、字节数组<br>
public void getChars(int start,int end,char c[],int offset ) <br>
复制String中的字符到指定的数组
String类提供了将字符串存放到数组中的方法
public char[] toCharArray()<br>
把String对象转换为字符数组<br>
将字符串中的全部字符存放在一个字符数组中的方法
字符串的加密算法
利用字符串和数组的关系,使用一个字符串password作为密码对另一个字符串sourceString进行加密
操作过程如下
将密码password存放到一个字符数组中
char [] p=password.toCharArray();<br>
EncryptAndDecrypt<br>
最后,将字符数组c转化为字符串得到sourceString的密文。<br>
public byte[] getBytes()
使用平台默认的字符编码,将当前字符串转化为一个字节数组
public byte[] getBytes(String charsetName) <br>
使用参数指定字符编码,将当前字符串转化为一个字节数组。<br>
(必须在try~catch语句中调用此方法 )
字符串与基本数据类型的相互转化
将由“数字”字符组成的字符串,转化为相应的基本数据类型
java.lang包中的Integer类调用其类方法public static int parseInt(String s)可以将由“数字”字符组成的字符串<br>
如"12356",转化为int型数据
例如:<br> int x; <br> String s = "876"; <br> x = Integer.parseInt(s); <br>
类似地,使用java.lang包中的Byte、Short、Long、Float、Double类调相应的类方法可以将由“数字”字符组成的字符串,转化为相应的基本数据类型。 <br>
有三种方式将一个int类型的变量变成String 类型
int i = 5;
String i1 = "" + i;<br>
等价与String i1 = (new StringBuilder()).append(i).toString();
首先,创建一个StringBuilder 对象,
然后,再调用append 方法,
最后,调用toString 方法。
String i2 = String.valueOf(i);
public static String valueOf(byte n)
把对象转换为字符串
可以使用String 类的valueOf方法,将形如123、1232.98等数值转化为字符串。<br>
String.valueOf(i)也是调用Integer.toString(i)来实现的
String i3 = Integer.toString(i);
本质上和String.valueOf(i);一样
将字符数组转换为字符串
方式一:静态方法:static String copyValueOf(char[] data)<br>
静态方法:static String copyValueOf(char[] data)<br>返回指定数组中表示该字符序列的String。
ch=ch.copyValueOf(arr);
System.out.println(ch);
方式二:构造方法:String(char[] value)<br>
构造方法:String(char[] value)<br>分配一个新的 String,使其表示字符数组参数中当前包含的字符序列
String result=new String (arr);<br>
System.out.println(result);
方式三:static String valueOf(char[] data)
static String valueOf(char[] data)<br>返回 char 数组参数的字符串表示形式。
mString = mString.valueOf(mArray);
判断String是否包含子串的四种方法及性能对比
判断String是否包含子串的四种方法
JDK原生方法String.indexOf<br>
在String的函数中,提供了indexOf(subStr)方法,返回子串subStr第一次出现的位置,如果不存在则返回-1。
//包含Java<br>assertEquals(7, "Pkslow Java".indexOf("Java"));<br>//如果包含多个,返回第一次出现位置<br>assertEquals(0, "Java Java".indexOf("Java"));<br>//大小写敏感<br>assertEquals(-1, "Google Guava".indexOf("guava"));
JDK原生方法String.contains
最直观判断的方法是contains(subStr),返回类型为boolean,如果包含返回true,不包含则返回false。
实际上,String的contains方法是通过调用indexOf方法来判断的,源码如下:<br>public boolean contains(CharSequence s) {<br> return indexOf(s.toString()) > -1;<br>}
//包含Java<br>assertTrue("code in Java".contains("Java"));<br>//大小写敏感,不包含GO<br>assertFalse("Let's go".contains("GO"));<br>//转为大写后包含<br>assertTrue("Let's go".toUpperCase().contains("GO")); <br>
JDK原生 正则匹配Pattern
通过强大的正则匹配来判断,虽然有点杀鸡用牛刀的感觉,但也不是不能用,
Pattern pattern = Pattern.compile("Java");<br>//包含Java<br>Matcher matcher1 = pattern.matcher("Python, Java, Go, C++");<br>assertTrue(matcher1.find());<br>//不包含Java<br>Matcher matcher2 = pattern.matcher("Python, C, Go, Matlab");<br>assertFalse(matcher2.find());
Apache库StringUtils.contains
Apache的commons-lang3提供许多开箱即用的功能,StringUtils就提供了许多与字符串相关的功能
//包含sub<br>assertTrue(StringUtils.contains("String subString", "sub"));<br>//大小写敏感<br>assertFalse(StringUtils.contains("This is Java", "java"));<br>//忽略大小写<br>assertTrue(StringUtils.containsIgnoreCase("This is Java", "java"));
性能比较结果与使用建议
性能最好的是String的indexOf方法和contains方法,建议使用contains方法,性能好,跟indexOf相比,更直观,更不容易犯错。<br><br>毕竟让每个人时刻记住返回-1代表不存在也不是一件容易的事。
背景
判断一个字符串是否包含某个特定子串是常见的场景,比如判断一篇文章是否包含敏感词汇、判断日志是否有ERROR信息等。<br>
本文将介绍四种方法并进行性能测试。
四种方法
JDK原生方法String.indexOf
在String的函数中,提供了indexOf(subStr)方法,返回子串subStr第一次出现的位置,如果不存在则返回-1。
例子如下:
//包含Java<br>assertEquals(7, "Pkslow Java".indexOf("Java"));<br>//如果包含多个,返回第一次出现位置<br>assertEquals(0, "Java Java".indexOf("Java"));<br>//大小写敏感<br>assertEquals(-1, "Google Guava".indexOf("guava"));
JDK原生方法String.contains
最直观判断的方法是contains(subStr),返回类型为boolean,如果包含返回true,不包含则返回false。
例子如下
//包含Java<br>assertTrue("code in Java".contains("Java"));<br>//大小写敏感,不包含GO<br>assertFalse("Let's go".contains("GO"));<br>//转为大写后包含<br>assertTrue("Let's go".toUpperCase().contains("GO"));
实际上,String的contains方法是通过调用indexOf方法来判断的
源码
public boolean contains(CharSequence s) {<br> return indexOf(s.toString()) > -1;<br>}
JDK原生正则匹配Pattern<br>
通过强大的正则匹配来判断,虽然有点杀鸡用牛刀的感觉,但也不是不能用
例子如下<br>
Pattern pattern = Pattern.compile("Java");<br>//包含Java<br>Matcher matcher1 = pattern.matcher("Python, Java, Go, C++");<br>assertTrue(matcher1.find());<br>//不包含Java<br>Matcher matcher2 = pattern.matcher("Python, C, Go, Matlab");<br>assertFalse(matcher2.find());
Apache库StringUtils.contains
Apache的commons-lang3提供许多开箱即用的功能,StringUtils就提供了许多与字符串相关的功能
例子如下
//包含sub<br>assertTrue(StringUtils.contains("String subString", "sub"));<br>//大小写敏感<br>assertFalse(StringUtils.contains("This is Java", "java"));<br>//忽略大小写<br>assertTrue(StringUtils.containsIgnoreCase("This is Java", "java"));
性能对比
使用JMH工具来对四种方法进行性能测试
Maven引入代码如
org.openjdk.jmh<br> jmh-core<br> ${openjdk.jmh.version}<br> <br> <br> org.openjdk.jmh<br> jmh-generator-annprocess<br> ${openjdk.jmh.version}
测试代码如下
@BenchmarkMode(Mode.AverageTime)<br>@OutputTimeUnit(TimeUnit.NANOSECONDS)<br>public class StringContainsPerformanceTest {<br> @State(Scope.Thread)<br> public static class MyState {<br> private String text = "If you want to be smart; read. If you want to be really smart; read a lot.";<br> Pattern pattern = Pattern.compile("read");<br> }<br> <br> @Benchmark<br> public int indexOf(MyState state) {<br> return state.text.indexOf("read");<br> }<br> <br> @Benchmark<br> public boolean contains(MyState state) {<br> return state.text.contains("read");<br> }<br> <br> @Benchmark<br> public boolean stringUtils(MyState state) {<br> return StringUtils.contains(state.text, "read");<br> }<br> <br> @Benchmark<br> public boolean pattern(MyState state) {<br> return state.pattern.matcher(state.text).find();<br> }<br> <br> public static void main(String[] args) throws Exception {<br> Options options = new OptionsBuilder()<br> .include(StringContainsPerformanceTest.class.getSimpleName())<br> .threads(6)<br> .forks(1)<br> .warmupIterations(3)<br> .measurementIterations(6)<br> .shouldFailOnError(true)<br> .shouldDoGC(true)<br> .build();<br> new Runner(options).run();<br> }<br>}
测试结果如下<br>
Benchmark Mode Cnt Score Error Units<br>contains avgt 6 11.331 ± 1.435 ns/op<br>indexOf avgt 6 11.250 ± 1.822 ns/op<br>pattern avgt 6 101.196 ± 12.047 ns/op<br>stringUtils avgt 6 29.046 ± 3.873 ns/op
最快的就是indexOf方法,其次是contains方法,二者应该没有实际区别,contains是调用indexOf来实现的。。
Apache的StringUtils为第三方库,相对慢一些。
最慢的是使用了正则的Pattern的方法,这不难理解,正则引擎的匹配是比较耗性能的
总结
本文介绍了判断一个字符串是否包含某个特定子串的四种方法,并通过性能测试进行了对比。
其中性能最好的是String的indexOf方法和contains方法,建议使用contains方法,性能好,跟indexOf相比,更直观,更不容易犯错。
毕竟让每个人时刻记住返回-1代表不存在也不是一件容易的事。
但是,使用indexOf和contains方法都需要注意做判空处理,这时StringUtils的优势就体现出来了。
对象的字符串表示
Object类有一个public String toString()方法,一个对象通过调用该方法可以获得该对象的字符串表示。<br>
一个对象调用toString()方法返回的字符串的一般形式为:创建对象的类的名字@对象的引用的字符串表示<br>
String 类的构造方法 与String创建的方法<br>
String(char[])
用字符数组中的全部字符创建字符串对象 <br>
用指定的字节数组构造一个字符串对象<br>
String(char[],int offset,int length)<br>
用字符数组中的部分字符创建字符串对象
用指定的字节数组的一部分,即从数组起始位置offset开始取length个字节构造一个字符串对象。<br>
String可以通过许多途径创建, 也可以根据Stringbuffer和StringBuilder进行创建。<br>
String创建的方法<br>
String创建的方法
String类源码解读,String对象底层
用于存储字符的char数组,value[]<br>
字符串是什么, 一连串字符组成的串。
一连串字符组成的串
通过char数组,来保存字符串的。
用于存储字符的char数组,value[]
这个数组存储了每个字符。
用于缓存字符串的哈希码,hash属性
因为String经常被用于比较, 比如在HashMap中。
如果每次进行比较,都重新计算其hashcode的值, 那无疑是比较麻烦的
而保存一个hashcode的缓存,无疑能优化这样的操作。
使用了StringBuilder对象的append方法,进行字符串拼接的
在继承树的什么位置、实现了什么接口、父类是谁
String没有继承任何接口, 不过实现了三个接口
Serializable接口<br>
这个序列化接口没有任何方法和域, 仅用于标识序列化的语意。
Comparable接口
实现了Comparable的接口可用于内部比较两个对象的大小
CharSequence接口
字符串序列接口<br>
CharSequence是一个可读的char值序列
提供了几个对字符序列进行只读访问的方法
length()
charAt(int index)
subSequence(int start,int end)
<span lang="EN-US" style="font-size:9.0pt;mso-bidi-font-size:11.0pt;<br>font-family:宋体;mso-fareast-theme-font:minor-fareast;mso-bidi-font-family:宋体;<br>color:black;letter-spacing:.05pt;mso-ansi-language:EN-US;mso-fareast-language:<br>EN-US;mso-bidi-language:AR-SA"><font color="#000000" face="宋体">toString</font>方法</span>
StringBuilder和StringBuffer也继承了这个接口
从设计角度理解String的intern()方法
由于String的不可变性, 不可变对象在拷贝时,不需要额外的复制数据
String在JDK 1.6之后,提供了intern()方法<br>
是什么?
intern()方法是一个native方法
它底层由C/C++实现
目的
把字符串缓存起来
JVM的不同存储区域(JVM的内存模型)
JVM的不同存储区域
方法区
各个线程共享的内存区域<br>
用于存储虚拟机加载的类信息、常量、静态变量、即时编译器编译后的代码等数据
static修饰的变量存储在方法区中
运行时常量池
又被称为Runtime Constant Pool
这块区域是方法区的一部分
它的名字非常有意思,它并不要求常量一定只有在编译期才能产生<br>
并非编译期间将常量放在常量池中, 运行期间也可以将新的常量放入常量池中,
String的intern方法就是一个典型的例子。
堆<br>
堆是线程共享的数据区<br>
<div class="mind-clipboard">堆是JVM中最大的一块存储区域</div>
所有的对象实例, 包括实例变量都在堆上进行相应的分配。
虚拟机栈
线程私有的数据区<br>
Java虚拟机栈的生命周期与线程相同
虚拟机栈也是局部变量的存储位置。
方法在执行过程中, 会在虚拟机栈种创建一个栈帧(stack frame) 。
程序计数器
线程私有的数据区<br>
这部分区域用于存储线程的指令地址
用于判断线程的分支、循环、跳转、异常、线程切换和恢复等功能,这些都通过程序计数器来完成。
本地方法栈
线程私有的数据区<br>
本地方法栈存储的区域主要是Java中使用native关键字修饰的方法所存储的区域
为什么在JDK 1.6中,不推荐使用intern()方法
在JDK 1.6及之前的版本中, <br>
把方法区放到了永久代(Java堆的一部分)
永久代的空间是有限的
除了Full GC外, 其他收集并不会释放永久代的存储空间,
常量池是分配在方法区中永久代(Parmanent Generation) 内的
而永久代和Java堆是两个完全分开的区域中, 并且返回此String对象的引用。
如果字符串常量池中已经包含一个等于此String对象的字符串, 则返回常量池中这个字符串的String对象
否则, 将此String对象包含的字符串添加到常量池
一些人把方法区称为永久代, 这种说法不准确, 仅仅是Hotspot虚拟机设计团队选择使用永久代来实现方法区而已。<br>
从JDK 1.7开始
将字符串常量池移到了堆内存中
去永久代, 字符串常量池已经被转移至Java堆中,开发人员也对intern方法做了一些修改。
因为字符串常量池和new的对象都存于Java堆中, 为了优化性能和减少内存开销, 当调用intern方法时,<br>
如果常量池中已经存在该字符串, 则返回池中字符串:
否则,直接存储堆中的引用
字符串常量池中存储的是指向堆里的对象。
intern方法的使用代码
认识一下intern方法
上述的执行结果是什么呢?
false true true false
和你预想的一样吗?为什么会这样呢?我们先来看一下intem方法的官方解释
intem方法的官方解释
第一个
输出什么?false, 为什么呢?<br>
a.intern返回的是常量池中的ab, 而b是直接返回的是堆中的ab.地址不一样, 肯定输出false
图解
图画的有些问题, 栈应该是后入先出, 所以b应该在a上面,不过不影响效果<br>
第二个
<table cellspacing="0" cellpadding="0" hspace="0" vspace="0" width="484"><tbody><tr><td valign="top" align="left" style="padding-top:0cm;padding-right:0cm;<br> padding-bottom:0cm;padding-left:0cm"><p class="MsoNormal" style="line-height:9.35pt;mso-line-height-rule:exactly;<br> mso-pagination:none;text-autospace:none;mso-element:frame;mso-element-frame-width:<br> 362.9pt;mso-element-wrap:auto;mso-element-anchor-horizontal:column;<br> mso-element-left:59.0pt;mso-element-top:693.0pt;mso-height-rule:exactly"><span style="font-size:9.5pt;mso-bidi-font-size:11.0pt;<br> font-family:宋体;mso-fareast-font-family:宋体;mso-fareast-theme-font:minor-fareast;<br> mso-bidi-font-family:宋体;color:black;letter-spacing:-.15pt;mso-fareast-language:<br> ZH-CN">都返回的是字符串常量池中的<span lang="EN-US">ab</span>,</span><span style="font-size:9.5pt;mso-bidi-font-size:11.0pt;font-family:宋体;mso-fareast-font-family:<br> 宋体;mso-fareast-theme-font:minor-fareast;mso-hansi-font-family:Calibri;<br> mso-hansi-theme-font:minor-latin;mso-bidi-font-family:"Times New Roman";<br> mso-bidi-theme-font:minor-bidi;color:black;letter-spacing:-.1pt;mso-fareast-language:<br> ZH-CN"> </span><span style="font-size:9.5pt;mso-bidi-font-size:11.0pt;<br> font-family:宋体;mso-fareast-font-family:宋体;mso-fareast-theme-font:minor-fareast;<br> mso-bidi-font-family:宋体;color:black;letter-spacing:-.15pt;mso-fareast-language:<br> ZH-CN">地址相同,</span><span style="font-size:9.5pt;mso-bidi-font-size:11.0pt;<br> font-family:宋体;mso-fareast-font-family:宋体;mso-fareast-theme-font:minor-fareast;<br> mso-hansi-font-family:Calibri;mso-hansi-theme-font:minor-latin;mso-bidi-font-family:<br> "Times New Roman";mso-bidi-theme-font:minor-bidi;color:black;letter-spacing:<br> -.05pt;mso-fareast-language:ZH-CN">所以输出true</span></p><br></td></tr></tbody></table>
图解
图解
第三个
a不会变,因为常量池中已经有了ab,<br>
所以c不会再创建一个ab字符串,这是编译器做的优化,为了提高效率。
图解
图解
第四个
子主题<br>
图解
图解
认识一下intern方法
String 对“+”的重载
1、String s = "a" + "b",编译器会进行常量折叠,即变成String s = "ab"
常量折叠(因为两个都是编译期常量,编译期可知)
2、对于能够进行优化的(String s = "a" + 变量等)用StringBuilder 的append()<br>方法替代,最后调用toString() 方法(底层就是一个new String())
Java 7 中switch对String的支持
Java 7 中,switch 的参数可以是String 类型了,这对我们来说是一个很方便的改进。
到目前为止switch 支持这样几种数据类型:byte 、short、int 、char 、String 。
switch 对整型的支持是怎么实现的呢?对字符型是怎么实现的呢?String 类型呢?
switch 到底是如何实现的?底层实现原理
疑问抛出
switch 对整型的支持是怎么实现的呢?
对字符型是怎么实现的呢?
String 类型呢?
猜测
switch 对String 的支持是使用
equals()方法
hashcode()方法
switch 对整型支持的实现
定义一个int 型变量a,然后使用switch 语句进行判断。执行这段代码输出内容为5,
样例代码
样例代码<br>
对代码进行反编译<br>
反编译后的代码
反编译后的代码和之前的代码比较,除了多了两行注释以外没有任何区别,
switch 对整型int的判断是直接比较整数的值。
switch 对字符型支持的实现
样例代码
直接上代码
对代码进行反编译
编译后的代码
<div>通过以上的代码作比较发现:</div><div></div>
<div>对char 类型进行比较的时候,实际上比较的是<span style="font-size: inherit;">ascii 码,</span></div>
编译器会把char 型变量转换成对应的int 型变量。
switch 对字符串支持的实现<br>
样例代码
样例代码
对代码进行反编译
对代码进行反编译<br>
字符串的switch 是通过equals()和hashCode()方法来实现的。<br>
记住,switch 中只能使用整型,比如byte,short,char(ackii 码是整型)以及int。
还好hashCode()方法返回的是int,而不是long。通过这个很容易记住hashCode返回的是int 这个事实。
<div class="mind-clipboard">仔细看下可以发现,进行switch 的实际是哈希值,然后通过使用equals 方法比较进行安全检查,</div>
这个检查是必要的,因为哈希可能会发生碰撞。
因此它的性能是不如使用枚举进行switch 或者使用纯整数常量,但这也不是很差。
因为Java 编译器只增加了一个equals 方法,如果你比较的是字符串字面量的话会非常快,
比如”abc”==”abc”。
<div class="mind-clipboard">如果你把hashCode()方法的调用也考虑进来了,那么还会再多一次的调用开销,</div>
因为字符串一旦创建了,它就会把哈希值缓存起来。
因此如果这个switch 语句是用在一个循环里的,比如逐项处理某个值,或者游戏引擎循环地渲染屏幕,
这里hashCode()方法的调用开销其实不会很大。
总结:其实switch 只支持一种数据类型,那就是整型,其他数据类型都是转换成整型之后在使用switch 的。
(常见)字符串乱码问题
java字符串的各种编码转换
参考代码
import java.io.UnsupportedEncodingException;<br><br>/**<br> * 转换字符串的编码<br> */<br>public class ChangeCharset {<br> /** 7位ASCII字符,也叫作ISO646-US、Unicode字符集的基本拉丁块 */<br> public static final String US_ASCII = "US-ASCII";<br><br> /** ISO 拉丁字母表 No.1,也叫作 ISO-LATIN-1 */<br> public static final String ISO_8859_1 = "ISO-8859-1";<br><br> /** 8 位 UCS 转换格式 */<br> public static final String UTF_8 = "UTF-8";<br><br> /** 16 位 UCS 转换格式,Big Endian(最低地址存放高位字节)字节顺序 */<br> public static final String UTF_16BE = "UTF-16BE";<br><br> /** 16 位 UCS 转换格式,Little-endian(最高地址存放低位字节)字节顺序 */<br> public static final String UTF_16LE = "UTF-16LE";<br><br> /** 16 位 UCS 转换格式,字节顺序由可选的字节顺序标记来标识 */<br> public static final String UTF_16 = "UTF-16";<br><br> /** 中文超大字符集 */<br> public static final String GBK = "GBK";<br><br> /**<br> * 将字符编码转换成US-ASCII码<br> */<br> public String toASCII(String str) throws UnsupportedEncodingException{<br> return this.changeCharset(str, US_ASCII);<br> }<br> /**<br> * 将字符编码转换成ISO-8859-1码<br> */<br> public String toISO_8859_1(String str) throws UnsupportedEncodingException{<br> return this.changeCharset(str, ISO_8859_1);<br> }<br> /**<br> * 将字符编码转换成UTF-8码<br> */<br> public String toUTF_8(String str) throws UnsupportedEncodingException{<br> return this.changeCharset(str, UTF_8);<br> }<br> /**<br> * 将字符编码转换成UTF-16BE码<br> */<br> public String toUTF_16BE(String str) throws UnsupportedEncodingException{<br> return this.changeCharset(str, UTF_16BE);<br> }<br> /**<br> * 将字符编码转换成UTF-16LE码<br> */<br> public String toUTF_16LE(String str) throws UnsupportedEncodingException{<br> return this.changeCharset(str, UTF_16LE);<br> }<br> /**<br> * 将字符编码转换成UTF-16码<br> */<br> public String toUTF_16(String str) throws UnsupportedEncodingException{<br> return this.changeCharset(str, UTF_16);<br> }<br> /**<br> * 将字符编码转换成GBK码<br> */<br> public String toGBK(String str) throws UnsupportedEncodingException{<br> return this.changeCharset(str, GBK);<br> }<br> <br> /**<br> * 字符串编码转换的实现方法<br> * @param str 待转换编码的字符串<br> * @param newCharset 目标编码<br> * @return<br> * @throws UnsupportedEncodingException<br> */<br> public String changeCharset(String str, String newCharset)<br> throws UnsupportedEncodingException {<br> if (str != null) {<br> //用默认字符编码解码字符串。<br> byte[] bs = str.getBytes();<br> //用新的字符编码生成字符串<br> return new String(bs, newCharset);<br> }<br> return null;<br> }<br> /**<br> * 字符串编码转换的实现方法<br> * @param str 待转换编码的字符串<br> * @param oldCharset 原编码<br> * @param newCharset 目标编码<br> * @return<br> * @throws UnsupportedEncodingException<br> */<br> public String changeCharset(String str, String oldCharset, String newCharset)<br> throws UnsupportedEncodingException {<br> if (str != null) {<br> //用旧的字符编码解码字符串。解码可能会出现异常。<br> byte[] bs = str.getBytes(oldCharset);<br> //用新的字符编码生成字符串<br> return new String(bs, newCharset);<br> }<br> return null;<br> }<br><br> public static void main(String[] args) throws UnsupportedEncodingException {<br> ChangeCharset test = new ChangeCharset();<br> String str = "This is a 中文的 String!";<br> System.out.println("str: " + str);<br> String gbk = test.toGBK(str);<br> System.out.println("转换成GBK码: " + gbk);<br> System.out.println();<br> String ascii = test.toASCII(str);<br> System.out.println("转换成US-ASCII码: " + ascii);<br> gbk = test.changeCharset(ascii,ChangeCharset.US_ASCII, ChangeCharset.GBK);<br> System.out.println("再把ASCII码的字符串转换成GBK码: " + gbk);<br> System.out.println();<br> String iso88591 = test.toISO_8859_1(str);<br> System.out.println("转换成ISO-8859-1码: " + iso88591);<br> gbk = test.changeCharset(iso88591,ChangeCharset.ISO_8859_1, ChangeCharset.GBK);<br> System.out.println("再把ISO-8859-1码的字符串转换成GBK码: " + gbk);<br> System.out.println();<br> String utf8 = test.toUTF_8(str);<br> System.out.println("转换成UTF-8码: " + utf8);<br> gbk = test.changeCharset(utf8,ChangeCharset.UTF_8, ChangeCharset.GBK);<br> System.out.println("再把UTF-8码的字符串转换成GBK码: " + gbk);<br> System.out.println();<br> String utf16be = test.toUTF_16BE(str);<br> System.out.println("转换成UTF-16BE码:" + utf16be);<br> gbk = test.changeCharset(utf16be,ChangeCharset.UTF_16BE, ChangeCharset.GBK);<br> System.out.println("再把UTF-16BE码的字符串转换成GBK码: " + gbk);<br> System.out.println();<br> String utf16le = test.toUTF_16LE(str);<br> System.out.println("转换成UTF-16LE码:" + utf16le);<br> gbk = test.changeCharset(utf16le,ChangeCharset.UTF_16LE, ChangeCharset.GBK);<br> System.out.println("再把UTF-16LE码的字符串转换成GBK码: " + gbk);<br> System.out.println();<br> String utf16 = test.toUTF_16(str);<br> System.out.println("转换成UTF-16码:" + utf16);<br> gbk = test.changeCharset(utf16,ChangeCharset.UTF_16LE, ChangeCharset.GBK);<br> System.out.println("再把UTF-16码的字符串转换成GBK码: " + gbk);<br> String s = new String("中文".getBytes("UTF-8"),"UTF-8");<br> System.out.println(s);<br> }<br>}
使用String(byte[] bytes, String encoding)构造字符串时
Java中的String类是按照unicode进行编码的
encoding所指的是bytes中的数据是按照那种方式编码的
而不是最后产生的String是什么编码方式
让系统把bytes中的数据由encoding编码方式转换成unicode编码。
如果不指明,bytes的编码方式将由jdk根据操作系统决定
使用String构造函数的时候注意事项
当从文件中读数据时,最好使用InputStream方式,然后采用String(byte[] bytes, String encoding)指明文件的编码方式。
不要使用Reader方式,因为Reader方式会自动根据jdk指明的编码方式把文件内容转换成unicode 编码。
从HttpRequest中读参数时,利用reqeust.setCharacterEncoding()方法设置编码方式,读出的内容就是正确的了。
当从数据库中读文本数据时,采用ResultSet.getBytes()方法取得字节数组,同样采用带编码方式的字符串构造方法即可。
(正确的使用方式)ResultSet.getBytes()方法演示
ResultSet rs;<br>bytep[] bytes = rs.getBytes();<br>String str = new String(bytes, "gb2312");
(错误的使用方式)ResultSet.getBytes()方法演示
ResultSet rs;<br>String str = rs.getString();<br>str = new String(str.getBytes("iso8859-1"), "gb2312");
这种编码转换方式效率底。
之所以这么做的原因是,ResultSet在getString()方法执行时,默认数据库里的数据编码方式为 iso8859-1。
系统会把数据依照iso8859-1的编码方式转换成unicode。
使用str.getBytes("iso8859-1")把数 据还原,然后利用new String(bytes, "gb2312")把数据从gb2312转换成unicode,中间多了好多步骤。
三种常量池<br>
字符串常量池
字符串常量池
全局字符串常量池
英文
string pool
(也有叫做string literal pool)
保存在JVM内存的方法区中
在JVM 中,为了减少相同的字符串的重复创建,为了达到节省内存的目的。<br>
会单独开辟一块内存,用于保存字符串常量,这个内存区域被叫做字符串常量池。
字符串常量池中存的是引用值,而不是具体的实例对象
具体的实例对象是在堆中开辟的一块空间存放的
在每个VM中只有一份
全局常量池在每个VM中只有一份,存放的是key(字面量“abc”)-value(字符串"abc"实例对象在堆中的引用)键值对。
全局字符串池里的内容是在类加载完成,经过验证,准备阶段之后在堆中生成字符串对象实例,然后将该字符串对象实例的引用值存到string pool中
HotSpotVM中的字符串常量的实现原理(享元模式)
在HotSpotVM里实现的string pool功能的是一个StringTable类
它是一个哈希表,里面存的是key(字面量“abc”, 即驻留字符串)-value(字符串"abc"实例对象在堆中的引用)键值对
也就是说在堆中的某些字符串实例被这个StringTable引用之后,就等同被赋予了”驻留字符串”的身份。
这个StringTable在每个HotSpot VM的实例只有一份,被所有的类共享(享元模式)
字符串驻留或池化机制<br>
当代码中出现双引号形式(字面量)创建字符串对象时,JVM 会先对这个字符串进行检查<br>
如果字符串常量池中存在相同内容的字符串对象的引用,则将这个引用返回
否则,创建新的字符串对象,然后将这个引用放入字符串常量池,并返回该引用。
intern<br>
除了以上方式(字符串驻留或池化机制)之外,还有一种可以在运行期,将字符串内容放置到字符串常量池的办法,那就是使用intern。
在每次赋值时,使用String 的intern 方法,如果常量池中有相同值,就会重复使用该对象,返回对象引用。<br>
字符串常量池的位置
JDK 7之前
放在永久代中的。
JDK7
因为按照计划,JDK 会在后续的版本中通过元空间来代替永久代
所以在JDK7 中,将字符串常量池先从永久代中移出,暂时放到了堆内存中。
JDK 8
彻底移除了永久代,使用元空间替代了永久代,
于是字符串常量池再次从堆内存移动到永久代中。
Class 常量池<br>
什么是Class 文件 ?
从编译说起
计算机只认识0 和1,所以程序员写的代码都需要经过编译成0 和1 构成的二进制格式才能够让计算机运行。
如Groovy、JRuby、Jython、Scala 等
字节码(ByteCode)
为了让Java 语言具有良好的跨平台能力,Java 独具匠心的提供了一种可以在所有平台上都能使用的一种中间代码——字节码(ByteCode)。
有了字节码,无论是哪种平台(如Windows、Linux 等),只要安装了虚拟机,都可以直接运行字节码。
字节码解除了Java 虚拟机和Java 语言间的耦合
同样,有了字节码,也解除了Java 虚拟机和Java 语言之间的耦合。
这话可能很多人不理解,Java 虚拟机不就是运行Java 语言的么?这种解耦指的是什么?
其实,目前Java 虚拟机已经可以支持很多除Java 语言以外的语言了。
之所以可以支持,就是因为这些语言也可以被编译成字节码。而虚拟机并不关心字节码是有哪种语言编译而来的。
当java文件被编译成class文件之后,就是会生成class常量池
如何查看常量池 ?
通过javac 命令,生成class 文件
Java 语言中负责编译出字节码的编译器是一个命令是javac。
javac 是收录于JDK 中的Java 语言编译器。
该工具可以将后缀名为.java 的源文件编译为后缀名为.class 的可以运行于Java 虚拟机的字节码。
javac命令的使用
如,我们有以下简单的HelloWorld.java 代码:
public class HelloWorld {<br>public static void main(String[] args) {<br>String s = "Hollis";<br>}}
通过javac 命令生成class 文件<br>
javac HelloWorld.java
生成HelloWorld.class 文件:
生成HelloWorld.class 文件:
<div>如何使用16 进制打开class 文件:使用vim test.class ,然后在交互模式下,输入<span style="font-size: inherit;">:%!xxd 即可。</span></div>
可以看到,上面的文件就是Class 文件,
要想能够读懂上面的字节码,需要了解Class 类文件的结构
解读HelloWorld.class 文件(版本号后面的就是Class 常量池入口)
生成HelloWorld.class 文件:
HelloWorld.class 文件中的前八个字母是cafe babe,这就是Class 文件的魔数(Java 中的”魔数”)。
在Class 文件的4 个字节的魔数后面的分别是
4 个字节的Class文件的版本号
第5、6 个字节是次版本号
第7、8 个字节是主版本号
生成的Class文件的版本号是52,这时Java 8 对应的版本。
也就是说,这个版本的字节码,在JDK1.8 以下的版本中无法运行
在版本号后面的,就是Class 常量池入口了。
通过javap 命令,查看Class 文件中常量池<br>
javap -v HelloWorld.class
<img 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" alt="">
从上图中可以看到,反编译后的class 文件常量池中共有16 个常量。
反编译后的class 文件常量池中共有16 个常量
而Class 文件中常量计数器的数值是0011,将该16 进制数字转换成10 进制的结果是17。
Class 文件中常量计数器的数值是0011
原因是与Java 的语言习惯不同,
常量池计数器是从0 开始而不是从1 开始的,常量池的个数是十进制的17,
这就代表了其中有16 个常量,索引值范围为1-16。
Class 常量池可以理解为是Class 文件中的资源仓库。
Class 常量池是Class 文件中的资源仓库,其中保存了各种常量。而这些常量都是开发者定义出来,需要在程序的运行期使用的。
Class 文件中包含
Java 虚拟机指令集
符号表
若干其他辅助信息
类的版本、字段、方法、接口等描述信息
常量池(constant pool table)
常量池(constant pool table)
它是Class文件中的内容,还不是运行时的内容,
不要理解它是个池子,其实就是Class文件中的字节码指令
class常量池是class字节码文件里的内容,在编译阶段,存放的是与类相关的常量。
用于存放编译器生成的各种字面量 + 符号引用
各种字面量(Literal)
计算机科学中关于字面量的解释
在计算机科学中,字面量(Literal)是用于表达源代码中一个固定值的表示法(notation)。
几乎所有计算机编程语言都具有对基本值的字面量表示,
诸如:整数、浮点数以及字符串
而有很多也对布尔类型和字符类型的值也支持字面量表示
还有一些甚至对复合类型的值也支持字面量表示法。
枚举类型的元素
像数组、记录和对象等
字面量的定义
字面量就是指由字母、数字等构成的字符串或者数值。
字面量就是常量,如文本字符串、被声明为final的常量值等。
字面量只可以右值出现
所谓右值是指等号右边的值<br>
如:int a=123 ,这里的a 为左值,123 为右值。
在这个例子中123 就是字面量。
int a = 123;<br>String s = "hollis";<br>
本文开头的HelloWorld 代码中,Hollis 就是一个字面量。
符号引用(Symbolic References)
什么是符号引用
编译原理中的概念
是相对于直接引用来说的。
一组符号来描述所引用的目标,符号可以是任何形式的字面量,只要使用时能无歧义地定位到目标即可。
(它与直接引用区分一下,直接引用一般是指向方法区的本地指针,相对偏移量或是一个能间接定位到目标的句柄)
一般包括下面三类常量:
类和接口的全限定名<br>字段的名称和描述符<br>方法的名称和描述符
主要包括了以下三类常量<br>
* 类和接口的全限定名
* 字段的名称和描述符
* 方法的名称和描述符
这也就可以印证前面的常量池中还包含一些com/hollis/HelloWorld、main、([Ljava/lang/String;)V 等常量的原因了。
常量池容量计数器
由于不同的Class 文件中包含的常量的个数是不固定的
所以在Class 文件的常量池入口处会设置两个字节的常量池容量计数器
记录了常量池中常量的个数
解读文件(版本号后面的就是Class 常量池入口)
常量池的每一项常量都是一个表
一共有如下表所示的11种各不相同的表结构数据
这每个表开始的第一位都是一个字节的标志位(取值1-12)
代表当前这个常量属于哪种常量类型。 每种不同类型的常量类型具有不同的结构
Class 常量池有什么用
在《深入理解Java 虚拟》中有这样的表述:<br>
Java 代码在进行Javac 编译的时候,并不像C 和C++那样有“连接”这一步骤,而<br>是在虚拟机加载Class 文件的时候进行动态连接。也就是说,在Class 文件中不会保存各<br>个方法、字段的最终内存布局信息,因此这些字段、方法的符号引用不经过运行期转换的话<br>无法得到真正的内存入口地址,也就无法直接被虚拟机使用。当虚拟机运行时,需要从常量<br>池获得对应的符号引用,再在类创建时或运行时解析、翻译到具体的内存地址之中。关于类<br>的创建和动态连接的内容,在虚拟机类加载过程时再进行详细讲解。<br>前面这段话,看起来很绕,不是很容易理解。其实他的意思就是: Class 是用来保存<br>常量的一个媒介场所,并且是一个中间场所。在JVM 真的运行时,需要把常量池中的常量<br>加载到内存中。<br>至于到底哪个阶段会做这件事情,以及Class 常量池中的常量会以何种方式被加载到<br>具体什么地方, 会在本系列文章的后续内容中继续阐述。
Class 是用来保存常量的一个媒介场所,并且是一个中间场所。
在JVM 真的运行时,需要把常量池中的常量加载到内存中。
运行时常量池
定义
Runtime Constant Pool
运行时的内容,从常量池转化而来。
是每一个类或接口的常量池(Constant_Pool)的运行时表示形式。
将每个class常量池中的符号引用值转存到运行时常量池中,
也就是说,每个class都有一个运行时常量池,类在解析之后,将符号引用替换成直接引用,与全局常量池中的引用值保持一致。
它包括了若干种不同的常量:从编译期可知的数值字面量到必须运行期解析后,才能获得的方法或字段引用。
扮演了类似传统语言中符号表( SymbolTable)的角色,不过它存储数据范围比通常意义上的符号表要更为广泛。
每一个运行时常量池都分配在Java 虚拟机的方法区之中,在类和接口被加载到虚拟机后,对应的运行时常量池就被创建出来。
保存在JVM内存的方法区的中的,主要保存的是
字面量
符号引用
运行时常量池又是什么时候产生的呢?
jvm在加载某个类时,必须经过装载、连接、初始化,而连接又包括验证、准备、解析三个阶段。<br>
而当类加载到内存中后,jvm就会将class常量池中的内容存放到运行时常量池中,故运行时常量池也是每个类都有一个。
class常量池中存的是字面量和符号引用,也就是说Class常量池存的并不是对象的实例,而是对象的符号引用值。
而经过解析(resolve)之后,也就是把符号引用替换为直接引用,
解析的过程会去查询全局字符串池,也就是StringTable,以保证运行时常量池所引用的字符串与全局字符串池中所引用的是一致的。
运行时常量池在JDK 各个版本中的实现
根据Java 虚拟机规范约定:
每一个运行时常量池都在JVM方法区中分配,在加载类和接口到虚拟机后,就创建对应的运行时常量池。
在不同版本的JDK 中,运行时常量池所处的位置也不一样
以HotSpot 为例:<br>
在JDK 1.7 之前<br>
方法区位于堆内存的永久代中,运行时常量池作为方法区的一部分,也处于永久代中。
因为使用永久代实现方法区可能导致内存泄露问题,所以,<br>
从JDK1.7 开始
JVM 尝试解决这一问题<br>
在1.7 中,将原本位于永久代中的运行时常量池移动到堆内存中。<br>
(永久代在JDK 1.7 并没有完全移除,只是原来方法区中的运行时常量池、类的静态变量等移动到了堆内存中。)
在JDK 1.8 中<br>
彻底移除了永久代,方法区通过元空间的方式实现。
随之,运行时常量池也在元空间中实现
运行时常量池中常量的来源
运行时常量池中包含了若干种不同的常量:
编译期可知的字面量和符号引用(来自Class 常量池)。
运行期解析后可获得的常量(如String 的intern 方法)
运行时常量池中的内容包含
Class 常量池中的常量、
字符串常量池中的内容<br>
运行时常量池、
Class 常量池、
字符串常量池的区别与联系<br>
三个常量池之间的联系
虚拟机启动过程中,会将各个Class 文件中的常量池载入到运行时常量池中。
所以, Class 常量池只是一个媒介场所。
在JVM 真的运行时,需要把常量池中的常量加载到内存中,进入到运行时常量池。
字符串常量池可以理解为运行时常量池分出来的部分。
加载时,对于class 的静态常量池,如果字符串会被装到字符串常量池中。
String 有没有长度限制?<br>
String 的长度限制<br>
想要搞清楚这个问题,首先我们需要翻阅一下String 的源码,看下其中是否有关于长度的限制或者定义。
String 类中有很多重载的构造函数,其中有几个是支持用户传入length 来执行长度的:
public String(byte bytes[], int offset, int length)<br>
参数length 是使用int 类型定义的,String 定义时,最大支持的长度就是int 的最大范围值。
根据Integer 类的定义,java.lang.Integer#MAX_VALUE 的最大值是2^31 - 1;
那么,是不是就可以认为String 能支持的最大长度就是这个值了呢?
其实并不是,这个值只是在运行期,构造String 时,可以支持的一个最大长度<br>
实际上,在编译期,定义字符串的时候也是有长度限制的。
错误: 常量字符串过长
如以下代码:<br>
String s = "11111...1111";//其中有10 万个字符"1"
当使用如上形式定义一个字符串时,执行javac 编译时,是会抛出异常的,提示如下:
明明String构造函数指定的长度是可以支持2147483647(2^31 - 1),为什么以上无法编译呢?
其实,形如String s = "xxx";定义String 时,xxx 称之为字面量,
这种字面量在编译之后,会以常量的形式进入到Class 常量池。
那么问题就来了,因为要进入常量池,就要遵守常量池的有关规定。
常量池限制<br>
javac 是将Java 文件编译成class 文件的一个命令,那么在Class 文件生成过程中,就需要遵守一定的格式。
常量池的定义
根据《Java 虚拟机规范》中第4.4 章节常量池的定义,
CONSTANT_String_info结构
用于表示java.lang.String 类型的常量对象
格式如下:
CONSTANT_String_info {<br> u1 tag;<br> u2 string_index;<br>}
其中,string_index 项的值必须是对常量池的有效索引,
常量池在该索引处的项必须是CONSTANT_Utf8_info 结构,
表示一组Unicode 码点序列,这组Unicode 码点序列最终会被初始化为一个String 对象。
CONSTANT_Utf8_info 结构
用于表示字符串常量的值
格式如下
CONSTANT_Utf8_info {<br>u1 tag;<br>u2 length;<br>u1 bytes[length];<br>}
其中,length 则指明了bytes[]数组的长度,其类型为u2。
通过翻阅《规范》,u2 表示两个字节的无符号数,那么1 个字节有8位,2 个字节就有16 位。
16 位无符号数可表示的最大值位2^16 - 1 = 65535。
Class 文件中常量池的格式规定了,其字符串常量的长度不能超过65535。
尝试使用以下方式定义字符串<br>
String s = "11111...1111";//其中有65535 个字符"1"
尝试使用javac 编译,同样会得到"错误: 常量字符串过长",那么原因是什么呢?<br>
其实,这个原因在javac 的代码中是可以找到的,
在Gen 类中有如下代码:
private void checkStringConstant(DiagnosticPosition var1, Object var2) {<br>if (this.nerrs == 0 && var2 != null && var2 instanceof String && ((String)v<br>ar2).length() >= 65535) {<br>this.log.error(var1, "limit.string", new Object[0]);<br>++this.nerrs;<br>}<br>}
代码中可以看出,当参数类型为String,并且长度大于等于65535时,就会导致编译失败。
这个地方可以尝试着debug 一下javac 的编译过程(,也可以发现这个地方会报错。
如果我们尝试以65534 个字符定义字符串,则会发现可以正常编译。
其实,关于这个值,在《Java 虚拟机规范》也有过说明:
if the Java Virtual Machine code for a method is exactly 65535 bytes<br>long and ends with an instruction that is 1 byte long, then that instruction<br>cannot be protected by an exception handler. A compiler writer can work<br>around this bug by limiting the maximum size of the generated Java Virtual<br>Machine code for any method, instance initialization method, or static<br>initializer (the size of any code array) to 65534 bytes.
运行期限制
上面提到的这种String 长度的限制是编译期的限制,也就是使用String s= “”;这种字面值方式定义的时候才会有的限制。
那么,String 在运行期有没有限制呢
答案是有的,
就是前文提到的那个Integer.MAX_VALUE ,这个值约等于4G,
在运行期,如果String 的长度超过这个范围,就可能会抛出异常。
int 是一个32 位变量类型,取正数部分来算的话,他们最长可以有:
(在jdk 1.9 之前)
2^31-1 =2147483647 个16-bit Unicodecharacter<br>2147483647 * 16 = 34359738352 位<br>34359738352 / 8 = 4294967294 (Byte)<br>4294967294 / 1024 = 4194303.998046875 (KB)<br>4194303.998046875 / 1024 = 4095.9999980926513671875 (MB)<br>4095.9999980926513671875 / 1024 = 3.99999999813735485076904296875 (GB)
有近4G 的容量。
编译时最大长度都要求小于65535 了,运行期怎么会出现大于65535 的情况呢
这其实很常见,如以下代码:
String s = "";<br>for (int i = 0; i <100000 ; i++) {s+="i";}
得到的字符串长度就有10 万,另外我之前在实际应用中遇到过这个问题。
之前一次系统对接,需要传输高清图片,约定的传输方式是对方将图片转成BASE6编码,接收到之后再转成图片。
在将BASE64 编码后的内容,赋值给字符串时,就抛了异常。
总结
字符串有长度限制,在编译期,要求字符串常量池中的常量不能超过65535,并且在javac 执行过程中控制了最大值为65534。
在运行期,长度不能超过Int 的范围,否则会抛异常。<br>
线程安全的StringBuffer对象
StringBuffer是什么?
用来定义字符串变量,它的对象是可以扩充和修改的。
StringBuffer对象代表一个可变的字符串序列<br>
当一个StringBuffer被创建以后, 通过StringBuffer的一系列方法,可实现字符串拼接、截取等操作
一旦通过StringBuffer生成了最终想要的字符串后, 就可以调用其toString方法来生成一个新的字符串。
使用 StringBuffer 类时,每次都会对 StringBuffer 对象本身进行操作,而不是生成新的对象并改变对象引用。
所以多数情况下推荐使用 StringBuffer ,特别是字符串对象经常改变的情况下。
StringBuffer是线程安全的,内部有大部分方法都加了synchronized锁
StringBuffer在字符串拼接上面,直接使用synchronized关键字加锁, 从而保证了线程安全性。
StringBuffer和StringBuilder最大的区别,谁是线程安全的
<div>StringBuilder</div>
StringBuilder不是线程安全的
StringBuffer
继承自AbstractStringBuilder
StringBuffer是线程安全的
可以在多线程场景下使用
StringBuffer比StringBuilder多了synchronized修饰符。
在单线程场景下,效率比较低, 因为有锁的开销。
线程安全的,为了解决String的操作产生很多中间String对象的问题。
同步方法是在对应的操作方法中简单粗暴的加上syncronized关键字。
StringBuffer内部有大部分方法都加了synchronized锁
看一下StringBuffer 的append 方法。
public synchronized StringBuffer append(String str) {<br> toStringCache = null;<br> super.append(str);<br> return this;<br>}
该方法使用synchronized 进行声明,说明是一个线程安全的方法。
什么是线程安全?
线程安全指多个线程执行同一段代码时采用加锁机制,使每次的执行结果和单线程执行结果一致,不存在执行时出意外。
不安全指不提供加锁机制保护,有可能出现多个线程先后更改数据造成所得数据是脏数据。
StringBuffer类有三个构造方法
1.StringBuffer()<br>2.StringBuffer(int size)<br>3.StringBuffer(String s)<br>
StringBuffer类的常用方法
StringBuffer append(String s)
将一个字符串对象追加到当前StringBuffer对象中 <br>
StringBuffer.append方法会自动调用toString方法吗?
上面提到+操作符连接两个字符串, 会自动执行toString方法
StringBuffer.append方法会自动调用toString方法吗?<br>
上图左边是手动调用toString方法的代码, 右图是没有调用toString方法的代码
toString0方法不像+一样自动被调用。
StringBuffer append(int n)
将一个int型数据转化为字符串对象后,再追加到当前StringBuffer对象中 <br>
类似的方法还有
StringBuffer append(long n)<br>
StringBuffer append(boolean n)
StringBuffer append(float n)
StringBuffer append(double n)
StringBuffer append(char n)
StringBuffer append(Object o)
将一个Object对象的字符串表示追加到当前StringBuffer对象中 <br>
public chat charAt(int n )
得到参数n指定的置上的单个字符
public void setCharAt(int n ,char ch)
将当前StringBuffer对象实体中的字符串位置n处的字符用参数ch指定的字符替换<br>
StringBuffer insert(int index, String str)
将参数str指定的字符串插入到参数index指定的位置 <br>
public StringBuffer reverse()
将该对象实体中的字符翻转<br>
StringBuffer replace( int startIndex ,int endIndex, String str)
将当前StringBuffer对象实体中的字符串的一个子字符串用参数str指定的字符串替换 <br>
StringBuffer delete(int startIndex, int endIndex)
从当前StringBuffer对象实体中的字符串中删除一个子字符串 <br>
其相关方法<br>
deleteCharAt(int index)
删除当前StringBuffer对象实体的字符串中index位置处的一个字符。
StringBuffer的使用举例
StringBuffer对象的创建
String s = new String(“我喜欢散步"); <br> StringBuffer buffer = new StringBuffer(“我喜欢”); <br> buffer.append("玩篮球 "); <br>
实体不可变
实体可变
使用StringBuffer 可以方便的对字符串进行拼接
StringBuffer wechat = new StringBuffer("Hollis");<br>String introduce = "每日更新Java 相关技术文章";<br>StringBuffer hollis = wechat.append(",").append(introduce);
StringBuffer的使用
牛逼的StringBuilder对象
StringBuilder是什么?
StringBuilder是5.0新增的
StringBuilder类表示一个可变的字符序列<br>
StringBuilder是一个牛逼的对象。<br>
此类提供一个与 StringBuffer 兼容的 API,但不保证同步
StringBuilder也可以使用,其用法和StringBuffer 类似。
StringBuilder其实是和StringBuffer几乎一样, 只不过StringBuilder是非线程安全的<br>
如果可能,建议优先采用该类,因为在大多数实现中,它比 StringBuffer 要快。两者的方法基本相同。
该类被设计用作 StringBuffer 的一个简易替换,用在字符串缓冲区被单个线程使用的时候(这种情况很普遍)
java8底层已经把字符串的+操作自动转换为StringBuilder的拼接操作;
StringBuilder的使用举例
StringBuilder wechat = new StringBuilder("Hollis");<br>String introduce = "每日更新Java 相关技术文章";<br>StringBuilder hollis = wechat.append(",").append(introduce);
StringBuilder是非线程安全的
线程非安全的
StringBuilder是非线程安全的容器
一般适用于单线程场景中的字符串拼接操作
String底层使用StringBuilder作为字符串拼接
为什么+号操作符,使用StringBuilder作为拼接条件,而不是使用StringBuffer呢?
原因是:加锁是一个比较耗时的操作,而加锁会影响性能<br>
所以String底层使用StringBuilder作为字符串拼接。
String对象底层使用了StringBuilder对象的append方法,进行字符串拼接的
大量循环拼接字符串时注意事项
使用+连接符时, JVM会隐式创建StringBuilder对象, 这种方式在大部分情况下并不会造成效率的损失<br>
不过,在进行大量循环拼接字符串时则需要注意
说明
这是一段很普通的代码,只不过对字符串s进行了+操作
通过反编译代码来看一下
通过反编译代码来看一下
你能看出来需要注意的地方了吗?<br>
在每次进行循环时, 都会创建一个StringBuilder对象, 每次都会把一个新的字符串元素bbb拼接到aoa的后面
所以, 执行几次后的结果如下
执行几次后的结果
每次都会创建一个StringBuilder, 并把引用赋给StringBuilder对象<br>
因此每个StringBuilder对象都是强引用, 这样在创建完毕后, 内存中就会多了很多StringBuilder的无用对象。
由于大量StringBuilder创建在堆内存中, 肯定会造成效率的损失<br>
在这种情况下,建议在循环体外创建一个StringBuilder对象调用append() 方法手动拼接
建议在循环体外创建一个StringBuilder对象调用append() 方法手动拼接
这段代码中, 只会创建一个builder对象, 每次循环都会使用这个builder对象进行拼接, 因此提高了拼接效率<br>
从源码角度看一下StringBuilder原理
首先来看一下StringBuilder的定义<br>
StringBuilder被final修饰, 表示StringBuilder是不可被继承的<br>
实际上, AbstractStringBuilder类,具体实现了可变字符序列的一系列操作
append
insert
delete
replace
charAt
StringBuilder使用两个变量作为元素
和String 类类似<br>
StringBuilder 类也封装了一个字符数组
定义如下:char[] value;
char value; //存储字符数组
使用value表示存储的字符数组
与String 不同的是,它并不是final 的,所以他是可以修改的。
与String不同
字符数组中不一定所有位置都已经被使用,
它有一个实例变量,表示数组中已经使用的字符个数
使用count表示存储的字符串使用的计数
int count; //字符串使用的计数
定义如下:int count;
StringBuilder继承于AbstractStringBuilder<br>
继承了AbstractStringBuilder 类
StringBuilder继承了AbstractStringBuilder 类
AbstractStringBuilder类中的两个变量
char value; //存储字符数组
int count; //字符串使用的计数
StringBuilder实现了2个接口
Serializable接口
序列化接口, 表示对象可以被序列化
CharSequence接口
字符串序列接口<br>
CharSequence是一个可读的char值序列
提供了几个对字符序列进行只读访问的方法
length()
charAt(int index)
subSequence(int start,int end)
StringBuilder和StringBuffer也继承了这个接口
append 方法源码
其append 源码如下:<br>
该类继承了AbstractStringBuilder 类,看下其append 方法:<br>
append 会直接拷贝字符到内部的字符数组中,如果字符数组长度不够,会进行扩展。
StringBuilder和StringBuffer的扩容问题
StringBuffer的注意事项
虽然不产生新的中间String对象,但是内部有一个数组负责存储,提前设置合理大小,可以避免数组扩容引起的性能损耗。
StringBuilder的初始容量
StringBuilder的初始容量是16
当然也可以指定StringBuilder的初始容量,
在调用append拼接字符串, 会调用AbstractStringBuilder中的append方法
调用AbstractStringBuilder中的append方法
上面代码中有一个ensureCapacityInternal方法, 这个就是扩容方法
扩容方法ensureCapacityInternal方法
这个方法会进行判断, minimumCapacity就是字符长度+要拼接的字符串长度<br>
如果拼接后的字符串要比当前字符长度大的话, 会进行数据的复制
真正扩容的方法是在newCapacity中
真正扩容的方法是在newCapacity中
扩容后的字符串长度会是原字符串长度增加一倍+2,<br>
如果扩容后的长度还比拼接后的字符串长度小的话, 那就直接扩容到它需要的长度new Capacity=min Capacity, 然后再进行数组的拷贝
String、StringBuffer和StringBuilder三者选用的原则
1) 原则1
如果要操作少量的数据,用String
单线程操作大量数据,用StringBuilder
多线程操作大量数据,用StringBuffer
2) 原则2
不要使用String类的”+”来进行频繁的拼接,因为那样的性能极差的
应该使用StringBuffer或StringBuilder类,这在Java的优化上是一条比较重要的原则。
例如:
String result = "";<br>for (String s : hugeArray) {<br> result = result + s;<br>}<br>// 使用StringBuilder<br>StringBuilder sb = new StringBuilder();<br>for (String s : hugeArray) {<br> sb.append(s);<br>}<br>String result = sb.toString();
当出现上面的情况时,显然我们要采用第二种方法,因为第一种方法,每次循环都会创建一个String result用于保存结果,除此之外二者基本相同.
2) 原则3
StringBuilder一般使用在方法内部来完成类似”+”功能
因为是线程不安全的,所以用完以后可以丢弃。
StringBuffer主要用在全局变量中。
4)原则4
相同情况下使用 StringBuilder 相比使用 StringBuffer 仅能获得 10%~15% 左右的性能提升,但却要冒多线程不安全的风险。
而在现实的模块化编程中,负责某一模块的程序员不一定能清晰地判断该模块是否会放入多线程的环境中运行,
因此:除非确定系统的瓶颈是在 StringBuffer 上,并且确定你的模块不会运行在多线程模式下,才可以采用StringBuilder;否则还是用StringBuffer。
图解三者的区别
请你告诉我下面分别创建了几个对象?<br>
问题1:s1创建了几个对象?<br>
字符串在创建对象时,会在常量池中看有没有aaa这个字符串;
如果没有,此时还会在常量池中创建一个;
如果有则不创建,默认是没有的情况,所以会创建一个对象
下同,
问题2:s2创建了几个对象呢?
是两个对象还是一个对象?
使用javap -c,看一下反汇编代码
反汇编代码
编译器做了优化,String s2=“bbb"+“ccc”会直接被优化为bbbccc。<br>
也就是,直接创建了一个bbbccc对象<br>
javap -c
是什么?
jdk自带的反汇编工具
对代码进行反汇编操作
作用?
根据class字节码文件, 反汇编出当前类对应的code区(汇编指令) 、本地变量表、异常表和代码行偏移量映射表、常量池等等信息。<br>
问题3:s3创建了几个对象呢?<br>
使用javap -c来看
可以看到, s3执行+操作会创建一个StringBuilder对象然后执行初始化。<br>
执行+号,相当于是执行new StringBuilder.append()操作
所以s3执行完成后,相当于创建了3个对象
所以s3执行完成后,相当于创建了3个对象
问题4:s4创建了几个对象?
在创建这个对象时,因为使用了new关键字, 所以肯定会在堆中创建一个对象。<br>
然后会在常量池中看有没有aaa这个字符串;
如果没有,此时还会在常量池中创建一个;
如果有,则不创建,所以可能是创建一个或者两个对象,但是一定存在两个对象。
字符串拼接的几种方式和区别
字符串拼接是比较经常要做的事情,就是把多个字符串拼接到一起。
<div>由于字符串拼接过程中会创建新的对象,所以如果要在一个循环体中进行字符串拼接,<span style="font-size: inherit;">就要考虑内存问题和效率问题。</span></div>
String字符串是恒定不可变的, 一旦创建出来就不会被修改,那么字符串拼接又是怎么回事呢?
字符串不变性与字符串拼接
其实,所有的所谓字符串拼接,都是重新生成了一个新的字符串。
下面一段字符串拼接代码:
String s = "abcd";<br>s = s.concat("ef");
其实最后我们得到的s 已经是一个新的字符串了。
如下图:
其实最后我们得到的s 已经是一个新的字符串了。
s 中保存的是一个重新创建出来的String 对象的引用。
比较常用的五种在Java 种拼接字符串的方式
使用+拼接字符串<br>
在Java 中,拼接字符串最简单的方式就是直接使用符号+来拼接。如:
String wechat = "Hollis";<br>String introduce = "每日更新Java 相关技术文章";<br>String hollis = wechat + "," + introduce;
特别说明
有人把Java 中使用+拼接字符串的功能理解为运算符重载。
其实并不是,Java 是不支持运算符重载的。
运算符重载
在计算机程序设计中,运算符重载(英语:operator overloading)是多态的一种。
运算符重载,就是对已有的运算符重新进行定义,赋予其另一种功能,以适应不同的数据类型。
这其实只是Java 提供的一个语法糖。
语法糖
语法糖(Syntactic sugar),也译为糖衣语法,
是由英国计算机科学家彼得·兰丁发明的一个术语,
指计算机语言中添加的某种语法,这种语法对语言的功能没有影响,但是更方便程序员使用。
语法糖让程序更加简洁,有更高的可读性。
Java 开发手册中不建议在循环体中使用+进行字符串拼接
Java 开发手册中不建议在循环体中使用+进行字符串拼接
使用+拼接字符串的实现原理
其实只是Java 提供的一个语法糖
<div>String wechat = "Hollis";</div><div>String introduce = "每日更新Java 相关技术文章";</div><div>String hollis = wechat + "," + introduce;</div>
把他生成的字节码进行反编译,看看结果。
String wechat = "Hollis";<br>String introduce = "\u6BCF\u65E5\u66F4\u65B0Java\u76F8\u5173\u6280\u672F\u6<br>587\u7AE0";//每日更新Java 相关技术文章<br>String hollis = (new StringBuilder()).append(wechat).append(",").append(int<br>roduce).toString();
通过查看反编译以后的代码,可以发现,
<div class="mind-clipboard">原来字符串常量在拼接过程中,是将String 转成了StringBuilder 后,使用其append 方法进行处理的。</div>
<div>J a v a 中的+ 对字符串的拼接, 其实现原理是使用<span style="font-size: inherit;">StringBuilder.append。</span></div>
Concat
使用String 类中的方法concat 方法来拼接字符串。
<div>String wechat = "Hollis";</div><div>String introduce = "每日更新Java 相关技术文章";</div><div>String hollis = wechat.concat(",").concat(introduce);</div>
concat 是如何实现的
concat 方法的源代码
这段代码首先创建了一个字符数组,长度是已有字符串和待拼接字符串的长度之和,<br>
再把两个字符串的值复制到新的字符数组中,并使用这个字符数组创建一个新的String 对象并返回。
通过源码可以看到,经过concat 方法,其实是new 了一个新的String,这也就呼应到前面说的字符串的不变性问题上了。
StringBuffer
StringBuilder
StringUtils.join
除了JDK 中内置的字符串拼接方法,还可以使用一些开源类库中提供的字符串拼接方法名,
如apache.commons 中提供的StringUtils 类,其中的join 方法可以拼接字符串。
String wechat = "Hollis";<br>String introduce = "每日更新Java 相关技术文章";<br>System.out.println(StringUtils.join(wechat, ",", introduce));
StringUtils 中提供的join 方法,
最主要的功能是:
将数组或集合以某拼接符拼接到一起形成新的字符串
<div>String []list ={"Hollis","每日更新Java 相关技术文章"};</div><div>String result= StringUtils.join(list,",");</div><div>System.out.println(result);</div><div>//结果:Hollis,每日更新Java 相关技术文章</div>
实现原理
其实它是通过StringBuilder来实现的。
其实它是通过StringBuilder来实现的。
Java8中的String类中也提供了一个静态的join方法, 用法和StringUtils.join 类似。
效率比较
用时从短到长的对比
StringBuilder<StringBuffer<concat<+<StringUtils.join
StringBuilder
<div>经过对比发现,直接使用StringBuilder 的方式是效率最高的。</div><div></div>
<div>因为<span style="font-size: inherit;">它天生就是设计来定义可变字符串和字符串的变化操作的。</span></div>
StringBuffer
在StringBuilder 的基础上,做了同步处理,
所以在耗时上会相对多一些。
StringUtils.join
也是使用了StringBuilder,
并且其中还是有很多其他操作,所以耗时较长,这个也容易理解
更擅长处理字符串数组或者列表的拼接。
使用+拼接字符串
其实使用+拼接字符串的实现原理也是使用的StringBuilder
那为什么结果相差这么多,高达1000 多倍呢?
源代码
反编译后
可以看到反编译后的代码,
在for 循环中,每次都是new 了一个StringBuilder,然后再把String 转成StringBuilder,再进行append。
而频繁的新建对象当然要耗费很多时间了,不仅仅会耗费时间,频繁的创建对象,还会造成内存资源的浪费。
所以, Java 开发手册建议:循环体内,字符串的连接方式,使用StringBuilder 的append 方法进行扩展。而不要使用+。
其他版本
某些特别情况下, String 对象的字符串拼接其实是被 Java Compiler 编译成了 StringBuffer 对象的拼接,
所以这些时候 String 对象的速度并不会比 StringBuffer 对象慢
例如:
String s1 = “This is only a” + “ simple” + “ test”;
StringBuffer Sb = new StringBuilder(“This is only a”).append(“ simple”).append(“ test”);
生成 String s1对象的速度并不比 StringBuffer慢。
其实在Java Compiler里,自动做了如下转换:
Java Compiler直接把上述第一条语句编译为:
String s2 = “This is only a”;<br>String s3 = “ simple”;<br>String s4 = “ test”;<br>String s1 = s2 + s3 + s4;
Java Compiler会规规矩矩的按照原来的方式去做,
String的concatenation(即+)操作利用了StringBuilder(或StringBuffer)的append方法实现,此时,
对于上述情况,若s2,s3,s4采用String定义,拼接时需要额外创建一个StringBuffer(或StringBuilder),之后将StringBuffer转换为String;
若采用StringBuffer(或StringBuilder),则不需额外创建StringBuffer。
强调下
1、如果不是在循环体中进行字符串拼接的话,直接使用+就好了。<br>
2 、如果在并发场景中进行字符串拼接, 要使用StringBuffer来代替StringBuilder。
图解区别
子主题
StringBuffer,StringBuilder底层代码,提出来提前设置大小的优化建议
(1)字符串缓存
(字符串缓存是提高存储效率的中重要途径,最好使用jvm的参数进行调优。)
把jvm的堆转储,(dump heap)发现半数是重复的
如果可以避免重复的字符串,可以有效降低内存消耗和对象创建开销。
可以通过jvm的参数设置缓存池的大小 -XX:StringTableSize=x
intern是一种显示的排重机制,但是不推荐使用;
<br>最新的jdk8,使用G1 GC,指定字符串排重参数可以达到底层去重的效果:<br>-XX:+UseStringDedumplication
(2)其它字符串的底层优化
比如使用本地内联方法的intrinsic机制来优化字符串的操作速度;
改变StringBuilder的存储的数据结构为Compact Strings提高存储效率;
String、StringBuffer和StringBuilder常见面试题
String、StringBuffer、StringBuilder的区别?+1
String、StringBuffer、StringBuilder的线程安全问题?
String类的常用API/方法有哪些?
value of ()
value of 与new 的区别 ?
String类有什么特点?
String是final类型,因此不断继承这个类,不能修饰这个类。
为了提高效率节省空间,应该用StringBuffer。
String不是基本类型
== 与equals的区别?
StringTokenizer类
StringTokenizer类在java.util包中
java.util.Tokenizer JDK 1.0 or later
StringTokenizer 类允许应用程序将字符串分解为标记。
在新代码中并不鼓励使用它
StringTokenizer 是出于兼容性的原因,而被保留的遗留类。
(虽然在新代码中并不鼓励使用它)
建议所有寻求此功能的人使用 String 的 split 方法或 java.util.regex 包。
有两个常用的构造方法
StringTokenizer(String s)
为字符串s构造一个分析器。<br>
使用默认的分隔标记,即空格符(若干个空格被看做一个空格)、换行符、回车符、Tab符、进纸符。
StringTokenizer(String s, String delim)
为字符串s构造一个分析器。
参数dilim中的字符,被作为分隔标记
StringTokenizer对象称作一个字符串分析器,可以使用下列方法
nextToken( )
逐个获取字符串中的语言符号(单词),字符串分析器中的负责计数的变量的值就自动减一 。<br>
hasMoreTokens( )
只要字符串中还有语言符号,即计数变量的值大于0,
该方法就返回true,否则返回false。
countTokens( )
得到分析器中计数变量的值。
使用String.split分割字符串对比与StringTokenizer分割字符串
使用String.split分割字符串,注意处理分隔符中的一些特殊字符<br>
java.lang.String 的 split() 方法, JDK 1.4 or later
异常的代码示例
public String[] split(String regex,int limit)<br>public class StringSplit {<br> public static void main(String[] args) {<br> String sourceStr = "1,2,3,4,5";<br> String[] sourceStrArray = sourceStr.split(",");<br> for (int i = 0; i < sourceStrArray.length; i++) {<br> System.out.println(sourceStrArray[i]);<br> }<br> // 最多分割出3个字符串<br> int maxSplit = 3;<br> sourceStrArray = sourceStr.split(",", maxSplit);<br> for (int i = 0; i < sourceStrArray.length; i++) {<br> System.out.println(sourceStrArray[i]);<br> }<br> }<br>}
预期外的输出结果:
1<br>2<br>3<br>4<br>5<br>1<br>2<br>3,4,5
进一步解释说明
split 的实现直接调用的 matcher 类的 split 的方法。
在使用String.split方法分隔字符串时,分隔符如果用到一些特殊字符,可能会得不到预期的结果。
在正则表达式中有特殊的含义的字符,使用时,必须进行转义,
转义后的代码示例:
public class StringSplit {<br> public static void main(String[] args) {<br> String value = "192.168.128.33";<br> // 注意要加\\,要不出不来,yeahString[] names = value.split("\\.");<br> for (int i = 0; i < names.length; i++) {<br> System.out.println(names[i]);<br> }<br> }<br>}
split分隔符总结
字符"|","*","+"都得加上转义字符,前面加上"\\"。
而如果是"\",那么就得写成"\\\\"。<br>
如果一个字符串中有多个分隔符,可以用"|"作为连字符。
比如:String str = "Java string-split#test",可以用Str.split(" |-|#")把每个字符串分开。这样就把字符串分成了3个子字符串。
使用StringTokenizer分割字符串
样例代码
public class StringSplit {<br> public static void main(String[] args) {<br> String ip = "192.168.128.33";<br> StringTokenizer token=new StringTokenizer(ip,"."); <br> while(token.hasMoreElements()){ <br> System.out.print(token.nextToken()+" "); <br> }<br> }<br>}
但是StringTokenizer对于字符串"192.168..33"的分割,返回的字符串数组只有3个元素,对于两个分隔符之间的空字符串会忽略,这个要慎重使用。
但是String.split用的都是按顺序遍历的算法,时间复杂度O(m*n)较高
(String.split是用正则表达式匹配,所以不使用KMP字符串匹配算法)
性能上,StringTokenizer好很多,对于频繁使用字符串分割的应用,例如etl数据处理,使用StringTokenizer性能可以提高很多。
Comparable和Comparator的对比(重点)
Comparable接口
Comparable是一个排序接口
list或者数组,实现了这个接口,能够自动的进行排序
相关类的方法有<br>
Collections.sort()
Arrays.sort()<br>
此接口给实现类提供了一个排序的方法
public int compareTo(T o)
compareTo方法,接受任意类型的参数, 来进行比较
compareTo方法与equals方法的比较
compareTo方法不同于equals方法,<br>
compareTo方法的返回值是一个int类型
compareTo方法的返回值是一个int类型
而equals方法返回的是boolean类型<br>
而equals方法返回的是boolean类型
compareTo(T o)方法抛出异常<br>
NullPointerException:如果对象o为null, 抛出空指针异常<br>
ClassCastException:如果需要类型转换之后进行比较, 可能会抛出ClassCastException
SortedMap接口的key,内置了compareTo方法,来进行键排序
SortedSet接口,也是内置了compareTo方法,作为其内部元素的比较手段<br>
Comparator接口
对Comparator的解释
更像是一个内部排序接口
Comparator相当于一个比较器, 作用和Comparable类似<br>
也可以对SortedMap和SortedSet的数据结构进行精准的控制
你可以不用实现此接口或者Comparable接口就可以实现次序比较。
Tree Set和TreeMap的数据结构底层也是使用Comparator来实现。<br>
不同于Comparable, 比较器可以任选地允许比较null参数, 同时保持要求等价关系。
也是使用以下方法来进行排序
Collections.sort()
Arrays.sort()<br>
一个类,实现了Comparable比较器, 就意味着它本身支持排序<br>
样例代码1
代码段1
代码段2
输出: <br>
false true false false<br>
样例代码2
继承comparator接口,重写compare方法
使用collections.sort进行排序
也可以使用Arrays.sort 0进行排序, 不过针对的数据结构是数组。
Comparator比较器的方法
int compare(To 1, To 2)
<div class="mind-clipboard">这个方法不允许进行null值比较,会抛出空指针异常</div>
用法和Comparable的compareTo 用法基本一样<br>
Comparable的compareTo(T o)方法抛出异常<br>
NullPointerException:如果对象o为null, 抛出空指针异常<br>
ClassCastException:如果需要类型转换之后进行比较, 可能会抛出ClassCastException
boolean equals(Object obj)
jdk 1.8之后又增加了很多新的方法
jdk 1.8之后又增加了很多新的方法
代码实现
Comparable和Comparator的对比
1、Comparable
更像是自然排序
对于一些普通的数据类型 ,它们默认实现了Comparable接口, 实现了compareTo方法,可以直接使用<br>
2、Comparator
更像是定制排序
同时存在时采用Comparator(定制排序) 的规则进行比较。
对于一些自定义类, 它们可能在不同情况下需要实现不同的比较策略, 可以新创建Comparator接口, 然后使用特定的Comparator实现进行比较。<br>
Runtime类运行可执行文件
Runtime类在java.lang包
用Runtime 类声明一个对象<br>
Runtime ec;
使用该类的getRuntime()静态方法创建这个对象<br>
ec=Runtime.getRuntime();
ec可以调用exec方法打开本地机的可执行文件或执行一个操作<br>
exec(String command)
Runtime对象打开Windows平台上的记事本程序和浏览器。<br>
Scanner类和System类
System类
java.lang包中的System类中有许多类方法,<br>
这些方法用于设置和Java虚拟机相关的数据.
System类中的exit()方法
如果一个Java程序希望立刻关闭运行当前程序的Java虚拟机,那么就可以让System类调用exit(int status),并向该方法的参数传递数字0或非0的数字。<br>
传递数字0表示是正常关闭虚拟机,否则表示非正常关闭虚拟机。
从命令行输入、输出数据
输入基本型数据,使用Scanner类<br>
可以使用Scanner类创建一个对象
Scanner reader=new Scanner(System.in);<br>
reader对象调用下列方法,读取用户在命令行(例如,MS-DOS窗口)输入的各种基本类型数据
nextBoolean() <br>
<div class="mind-clipboard">nextByte() </div>
nextShort()
nextInt()
nextLong()
nextFloat()
nextDouble()
上述方法执行时都会堵塞,程序等待用户在命令行输入数据回车确认。<br>
输出基本型数据,使用System类
可用两种方法输出串值、表达式的值<br>
System.out.println()
输出数据后换行
System.out.print()
输出数据后不换行
允许使用并置符号:“+”将变量、表达式或一个常数值与一个字符串并置一起输出
System.out.println(m+"个数的和为"+sum);<br>
System.out.println(“:”+123+“大于”+122) <br>
JDK1.5新增了和C语言中printf函数类似的数据输出方法
该方法使用格式如下
System.out.printf("格式控制部分",表达式1,表达式2,…表达式n)<br>
格式控制部分由格式控制符号:%d、%c、%f、%s和普通的字符组成,普通字符原样输出。
格式符号用来输出表达式的值
%d:输出int类型数据值
%c:输出char型数据<br>
%f:输出浮点型数据,小数部分最多保留6位
%s:输出字符串数据
输出数据时也可以控制数据在命令行的位置
例如:<br>
%md:输出的int型数据占m列
%m.nf:输出的浮点型数据占m列,小数点保留n位。
使用Scanner类和正则表达式来解析文件
1. 使用默认分隔标记解析文件 <br>
创建Scanner对象,并指向要解析的文件
File file = new File("hello.java");<br> Scanner sc = new Scanner(file); <br>
sc将空白作为分隔标记 ,相关方法
next() 依次返回file中的单词<br>hasNext() 判断file最后一个单词是否已被next()方法返回<br>
2.使用正则表达式作为分隔标记解析文件 <br>
创建Scanner对象,指向要解析的文件,并使用useDelimiter方法指定正则表达式作为分隔标记
File file = new File("hello.java");<br>Scanner sc = new Scanner(file);<br>sc.useDelimiter(正则表达式); sc将正则表达式作为分隔标记
相关方法
next() 依次返回file中的单词<br>hasNext() 判断file最后一个单词是否已被next()方法返回<br>
使用Scanner类从字符串中,解析程序所需要数据<br>
1.使用默认分隔标记解析字符串<br>
创建Scanner对象,并将要解析的字符串传递给所构造的对象
例如 String NBA = "I Love This Game";<br>
如下构造一个Scanner对象
Scanner scanner = new Scanner(NBA);<br>
那么scanner将空格作为分隔标记、调用next()方法依次返回NBA中的单词,<br>
如果NBA最后一个单词已被next()方法返回,
scanner调用hasNext()将返回false,否则返回true。
2.使用正则表达式作为分隔标记解析字符串 <br>
Scanner对象可以调用useDelimiter(正则表达式);<br>
方法将一个正则表达式作为分隔标记,<br>
即和正则表达式匹配的字符串都是分隔标记。
Java中从控制台输入数据的几种常用方法
使用标准输入串System.in
//System.in.read()一次只读入一个字节数据<br>//通常要取得一个字符串或一组数字<br>//System.in.read()返回一个整数<br>//必须初始化
//int read = 0;<br> char read = '0';<br> System.out.println("输入数据:");<br> try {<br> //read = System.in.read();<br> read = (char) System.in.read();<br> }catch(Exception e){<br> e.printStackTrace();<br> }<br> System.out.println("输入数据:"+read);<br>
使用Scanner取得一个字符串或一组数字
在新增一个Scanner对象时,需要一个System.in对象,因为实际上还是System.in在取得用户输入。<br>
Scanner的方法:<br>
* next()用以取得用户输入的字符<br>* nextInt()将取得的输入字符串转换为整数类型<br>* nextFloat()转换成浮点型<br>* nextBoolean()转换成布尔型
Scanner的使用demo
import java.util.Scanner;<br><br>public class Main {<br>static int max = 0;<br>static int m = 0;<br>static int n = 0;<br>static int arr[][];<br><br>public static void main(String[] args) {<br>Scanner cin = new Scanner(System.in);<br>n = cin.nextInt();<br>m = cin.nextInt();<br>arr = new int[n][m];<br>for (int i = 0; i < n; i++) {<br>for (int j = 0; j < m; j++) {<br>arr[i][j] = cin.nextInt();<br>}<br>}<br>find(0, 0,0);<br>System.out.println(max);<br>}<br><br>public static int find(int nn, int mm,int tmp) {<br>if(nn>=n||mm>=m){<br>return 0;<br>}<br>tmp = tmp + arr[nn][mm];<br>if (max < tmp) {<br>max = tmp;<br>}<br>find(nn, mm + 1,tmp);<br>find(nn + 1, mm,tmp);<br>return tmp;<br>}<br><br>/*<br> * 4 5 0 0 8 0 0 0 0 0 9 0 0 7 0 0 0 0 0 6 0 0<br> */<br><br>}
使用BufferedReader取得含空格的输入
//Scanner取得的输入以space, tab, enter 键为结束符,<br> //要想取得包含space在内的输入,可以用java.io.BufferedReader类来实现<br> //使用BufferedReader的readLine( )方法<br> //必须要处理java.io.IOException异常
BufferedReader br = new BufferedReader(new InputStreamReader(System.in ));<br> //java.io.InputStreamReader继承了Reader类<br> String read = null;<br> System.out.print("输入数据:");<br> try {<br> read = br.readLine();<br> } catch (IOException e) {<br> e.printStackTrace();<br> }<br> System.out.println("输入数据:"+read);
例子
package String;<br><br>import java.io.BufferedReader;<br>import java.io.IOException;<br>import java.io.InputStreamReader;<br>import java.util.Arrays;<br><br>public class BeautyDegree {<br><br> public static void main(String[] args) {<br> // 获取用户的输入<br> BufferedReader mBufferedReader = new BufferedReader(new InputStreamReader(System.in));<br> // 行数<br> String line;<br> int timer = 0;<br> boolean mFlag = true;<br> StringBuilder mStringBuilder = null;<br> try {<br> while ((line = mBufferedReader.readLine()) != null) {<br> if (mFlag) {<br> timer = Integer.parseInt(line);<br> mFlag = false;<br> mStringBuilder = new StringBuilder();<br> continue;<br> }<br> mStringBuilder.append(line + ',');<br> timer--;<br> if (timer == 0) {<br> mFlag = true;<br> outPutBeauty(mStringBuilder.toString());<br> }<br> }<br> } catch (IOException e) {<br> e.printStackTrace();<br> }<br> }<br><br> private static void outPutBeauty(String string) {<br> String[] result = string.split(",");<br> for (String tmp : result) {<br> System.out.println(getBeauty(tmp));<br> }<br> }<br><br> public static int getBeauty(String name) {<br> char[] chs = name.toLowerCase().toCharArray();<br> int[] target = new int[26];<br> for (int i = 0; i < chs.length; i++) {<br> target[chs[i] - 'a']++;<br> }<br> Arrays.sort(target);<br> int res = 0;<br> for (int i = 25; i >= 0; i--) {<br> res += target[i] * (i + 1);<br> }<br> return res;<br> }<br><br>}<br>
Date类构造Date对象<br>
Date类在java.util包中
1.使用Date类的无参数构造方法创建的对象可以获取本地当前时间。<br>
例: Date nowTime=new Date(); <br>
2.使用Date类的无参数构造方法<br>
Date(long time)
例:Date date1=new Date(1000), <br> date2=new Date(-1000); <br>
Date对象表示时间的默认顺序是
星期、月、日、小时、分、秒、年。
例如:Tue Aug 04 08:59:32 CST 2009。<br>
SimpleDateFormat日期格式化<br>
SimpleDateFormat的使用
服务器返回的值往往是秒,但是计算的时候,要求毫秒,需要*1000L才能得到正确的日期结果。
//制定日期的显示格式<br>SimpleDateFormat sdf = new SimpleDateFormat( "yyyy-MM-dd HH:mm:ss");<br><br>//m为从服务器返回的数据转换后的值(往往是将服务器返回的字符串形式的值,需要转化为int型或者long型)<br>String time=sdf.format(new Date((m*1000L));
格林时间,是以1970-01-01 00:00:00为基准计起的,服务器返回的,就是某一时刻到格林时间基准的秒数(如果是毫秒那就更好了,直接使用不用*1000L)拿到上面的time,比真正的时间少了八个小时,<br><br>
解决的办法:把JAVA默认的时区,改为东八区.
public String paserTime(int time){<br> System.setProperty("user.timezone", "Asia/Shanghai");<br> TimeZone tz = TimeZone.getTimeZone("Asia/Shanghai");<br> TimeZone.setDefault(tz); //把默认时区改成我们的时区:<br> SimpleDateFormat format = new SimpleDateFormat("yyyy-MM-dd HH:mm:ss");<br> String times = format.format(new Date(time * 1000L));<br> System.out.print("日期格式---->" + times);<br> return times;<br>}
使用java.util包中的DateFormat的子类SimpleDateFormat来实现日期的格式化。
SimpleDateFormat有一个常用构造方法
public SimpleDateFormat(String pattern);
该构造方法可以用参数pattern指定的格式创建一个对象
pattern是由普通字符和一些称作格式符组成的字符序列。<br>
例如,假如当前时间是2009年10月11日星期日
设pattern= "yyyy-MM-dd", 那么使用pattern格式化后的时间就是:2009-10-11<br>
该对象调用: public String format(Date date) 方法格式化时间对象date。<br>
NumberFormat日期格式化
使用NumberFormat,实现四舍五入<br>
private String format(double num){<br> NumberFormat formatter = new DecimalFormat("0.00");<br> String s = formatter.format(num);<br> return s;<br>}
Calendar类<br>
Calendar类在java.util包中
使用Calendar类的static方法 getInstance()可以初始化一个日历对象
如: Calendar calendar= Calendar.getInstance();<br>
calendar对象可以调用方法,将日历翻到任何一个时间 <br>
public final void set(int year,int month,int date)<br>public final void set(int year, int month, int date, int hour,int minute)<br>public final void set(int year,int month, int date, int hour, int minute,int second)
calendar对象常用方法
public int get(int field) 可以获取有关年份、月份、小时、星期等信息 <br>
public long getTimeInMillis() 可以将时间表示为毫秒。 <br>
BigInteger类
属于java.math.BigInteger
BigInteger属于java.math.BigInteger
在每次使用前都要import 这个类。偶开始就忘记import了,于是总提示找不到提示符。
java.math包中的BigInteger类
BigInteger类模拟了所有的int型数学操作
提供任意精度的整数运算<br>
如add()==“+”,divide()==“-”等<br>
但注意其内容进行数学运算时不能直接使用数学运算符进行运算,必须使用其内部方法。
而且其操作数也必须为BigInteger型。
如:two.add(2)就是一种错误的操作,因为2没有变为BigInteger型。
构造方法
public BigInteger(String val)
构造一个十进制的BigInteger对象。
将 BigInteger 的十进制字符串表示形式转换为 BigInteger。
BigInteger(String val, int radix)
将指定基数的 BigInteger 的字符串表示形式转换为 BigInteger。
如要将int型的2转换为BigInteger型,要写为BigInteger two=new BigInteger("2"); //注意2双引号不能省略
BigInteger类的常用类方法
public BigInteger add(BigInteger val)返回当前大整数对象与参数指定的大整数对象的和。<br>public BigInteger subtract(BigInteger val)返回当前大整数对象与参数指定的大整数对象的差。<br>public BigInteger multiply(BigInteger val)返回当前大整数对象与参数指定的大整数对象的积。<br>public BigInteger divide(BigInteger val)返回当前大整数对象与参数指定的大整数对象的商。<br>public BigInteger remainder(BigInteger val)返回当前大整数对象与参数指定的大整数对象的余。<br>public BigInteger abs() 返回当前大整数对象的绝对值。<br>public BigInteger pow(int a) 返回当前大整数对象的a次幂。<br>public String toString() 返回当前大整数对象十进制的字符串表示。<br>public String toString(int p) 返回当前大整数对象p进制的字符串表示。<br>
public int compareTo(BigInteger val)
返回当前大整数对象与参数指定的大整数的比较结果,
返回值是1、-1或0,分别表示当前大整数对象大于、小于或等于参数指定的大整数。
将此 BigInteger 与指定的 BigInteger 进行比较。
对于针对六个布尔比较运算符 (<, ==, >, >=, !=, <=) 中的每一个运算符的各个方法,优先提供此方法。
执行这些比较的建议语句是:(x.compareTo(y) <op> 0),其中 <op> 是六个比较运算符之一。<br>指定者: 接口 Comparable<BigInteger> 中的 compareTo<br>参数: val - 将此 BigInteger 与之比较的 BigInteger。<br>返回:
BigInteger remainder(BigInteger val)
返回其值为 (this % val) 的 BigInteger。<br>
remainder用来求余数。
BigInteger negate()
negate将操作数变为相反数。
返回其值是 (-this) 的 BigInteger。
当要把计算结果输出时应该使用.toString方法将其转换为10进制的字符串
String toString()<br>
返回此 BigInteger 的十进制字符串表示形式。
输出方法:System.out.print(two.toString());
将BigInteger的数转为2进制
public class TestChange {<br> public static void main(String[] args) {<br> System.out.println(change("3",10,2));<br> }<br> //num 要转换的数 from源数的进制 to要转换成的进制<br> private static String change(String num,int from, int to){<br> return new java.math.BigInteger(num, from).toString(to);<br> }<br>}<br>
DecimalFormat类<br>
DecimalFormat类在java.text包中。<br>
可以用DecimalFormat类对输出的数字结果进行必要的格式化 。
格式化数字<br>
格式化整数位和小数位
DecimalFormat对象调用:public final String format(double number)对参数指定的数字进行格式化,并将格式化结果以String对象返回。
例如:DecimalFormat format=new DecimalFormat("00000.00"); <br>那么 String result=format.format(6789.8765);得到的result是:“06789.88”
整数位的分组 <br>
当希望将数字的整数部分分组(用逗号分隔),可以在DecimalFormat对象中的<br>
例如:将 “123456789.9876543” 的整数部分按4位分组的一个格式化模式是:“#,##,###,##00.00”
使用该模式格式化上述数字的结果是:1,2345,6789.99
格式化为百分数或千分数
在DecimalFormat对象中的数字格式化模式尾加“%”,可以将数字格式化为百分数、尾加“\u2030”将数字格式化为千分数。<br>
格式化为科学计数
在DecimalFormat对象中的数字格式化模式尾加“E0”,可以将数字格式化为科学计数。<br>
格式化为货币值 <br>
在DecimalFormat对象中的数字格式化模式尾加货币符号,例如“$”“¥”,可以将数字格式化为带货币符号的串。 <br>
将格式化字符串转化为数字
根据要转化的字符串创建一个DecimalFormat对象,并将适合该字符串的格式化模式传递给该对象
例如: DecimalFormat df = new DecimalFormat("###,#00.000$");<br>
那么,df调用parse(String s)方法将返回一个Number对象,<br>例如:Number num = df.parse("3,521,563.345$");<br>那么,Number对象调用方法可以返回该对象中含有的数字, <br>例如:double d=number.doubleValue(); d的值是3521563.345。<br>
Pattern类
Java提供了专门用来进行模式匹配的Pattern类和Match类<br>
这些类在java.util.regex包中
模式对象
使用Pattern类创建一个对象,称作模式对象,模式对象是对正则表达式的封装。
Pattern类调用类方法compile(String regex)返回一个模式对象,其中的参数regex是一个正则表达式,称作模式对象使用的模式。<br>
例如: Pattern p = Pattern.compile("hello\\d");
Pattern类也可以调用类方法compile(String regex, int flags)返回一个Pattern对象 。<br>
模式对象p调用matcher(CharSequence input)方法返回一Matcher对象m,称作匹配对象。<br>
Matcher对象m常用的方法
public boolean find() :寻找input和regex匹配的下一子序列<br>public boolean matches():判断input是否完全和regex匹配<br>public boolean lookingAt():判断从input的开始位置是否有和regex匹配的子序列<br>public boolean find(int start):判断input从参数start指定位置开始是否有和regex匹配的子序列 <br>public String replaceAll(String replacement):Matcher对象m调用该方法可以返回一个字符串 <br>public String replaceFirst(String replacement):Matcher对象m调用该方法可以返回一个字符串 <br>
Math类<br>
Math类在java.lang包中。
Math类包含许多用来进行科学计算的类方法,这些方法可以直接通过类名调用。
Math类有两个静态常量
E 2.7182828284590452354<br>
PI 3.14159265358979323846
Math类的常用类方法
public static long abs(double a) 返回a的绝对值。<br>public static double max(double a,double b) 返回a、b的最大值。<br>public static double min(double a,double b) 返回a、b的最小值。<br>public static double random() 产生一个0到1之间的随机数(不包括0和1)<br>public static double pow(double a,double b) 返回a的b次幂。<br>public static double sqrt(double a) 返回a的平方根。<br>public static double log(double a) 返回a的对数。<br>public static double sin(double a) 返回正弦值。<br>public static double asin(double a) 返回反正弦值。<br>
与Math有关的计算题
子主题
子主题
首先要注意的是它的返回值类型是long,如果 Math.round(11.5f),那它的返回值类型就是int,这一点可以参考API<br>其次 Returns the closest long to the argument, with ties rounding to positive infinity<br>它返回的是一个最接近参数的long 值(例如: Math.round(11.6) = 12; Math.round(-11.6) = -12; Math.round(-0.1) = 0; Math.round(0.1) = 0 ),那如果出现向上向下距离一样的数值, 比如题目中的11.5,该如何处理呢 ,别着急,看它的后半句话, with ties rounding to positive infinity( 同时向正无穷方向取舍或者翻译成取较大的值,英语水平较差,只能翻译成这样了;<br>例子: Math.round(11.5) ,首先与 11.5最接近的有两个整数 11 和 12,取较大的那结果就是12;<br> Math.round(-11.5), 首先与 -11.5最接近的有两个整数 -11 和 -12,取较大的那结果就是-11;<br> Math.round(0.5), 首先与 0.5最接近的有两个整数 0 和 1,取较大的那结果就是1;<br> Math.round(-0.5), 首先与 -0.5最接近的有两个整数 -1 和 0,取较大的那结果就是0; )<br>然后它有三个特例:<br>1. 如果参数为 NaN(无穷与非数值) ,那么结果为 0。<br>2.如果参数为负无穷大或任何小于等于 Long.MIN_VALUE 的值,那么结果等于Long.MIN_VALUE 的值。<br>3.如果参数为正无穷大或任何大于等于 Long.MAX_VALUE 的值,那么结果等于Long.MAX_VALUE 的值。<br>最后 最好还是看一下API或者源码,不要信了我的邪<br><br>向上取整<br><br>round方法,它表示“四舍五入”,算法为Math.floor(x+0.5),即将原来的数字加上0.5后再向下取整,<br>所以,Math.round(11.5)的结果为12,Math.round(-11.5)的结果为-11。 ceil是天花板,向上取整。 floor是地板,向下去整。
使用Console流,读取密码
使用Console流读取密码<br>
作用:可以读取用户在命令行输入的密码,而且用户在命令行输入的密码不会显示在命令行中。<br>
JDK1.6版本在java.io包中新增
使用步骤
首先使用System类调用console()方法返回一个Console流:<br>
Console cons = System.console();
然后,Console流调用readPassword()方法读取用户在键盘输入的密码,并将密码以一个char数组返回:<br>
char[] passwd = cons.readPassword();
文件锁FileLock 和 FileChannel类
两个处理Java提供的文件锁功能
FileLock
在java.nio包中
FileChannel类
在java.nio.channels包中
输入、输出流读写文件时,可以使用文件锁。
RondomAccessFile创建的流,在读写文件时,使用文件锁的步骤如下
1.先使用RondomAccessFile流建立指向文件的流对象,该对象的读写属性必须是rw
例如: RandomAccessFile input= new RandomAccessFile("Example.java","rw");<br>
2.Input流调用方法getChannel()获得一个连接到地层文件的FileChannel对象(信道)
FileChannel channel=input.getChannel();<br>
3.信道调用tryLock()或lock()方法获得一个FileLock(文件锁)对象,这一过程也称作对文件加锁
例如: FileLock lock=channel.tryLock(); <br>
使用场景
Java程序让用户从键盘输入一个正整数,然后程序读取文件的内容,如输入整数2,程序顺序读取文件中2行的内容。 程序首先释放文件锁,然后读取文件内容,读取之后立刻给文件加锁,等待用户输入下一个整数。因此,在用户输入下一个整数之前,其他程序无法操作被当前用户加锁的文件,如其他用户无法使用Windows操作系统提供的“记事本”程序(Notepad.exe)无法保存被当前Java程序加锁的文件。<br>
ThreadLocalRandom 与Random类
Random
产生一个伪随机数(通过相同的种子,产生的随机数是相同的);
Random r=new Random();<br>System.out.println(r.nextBoolean());<br>System.out.print(r.nextInt(50));//随机生成0~50的随机数,不包括50<br>System.out.println(r.nextInt(20)+30);//随机生成30~50的随机数,不包括50
ThreadLocalRandom
JDK 7之后提供并发产生随机数,能够解决多个线程发生的竞争争夺
ThreadLocalRandom不是直接用new实例化,而是第一次使用其静态方法current()。
ThreadLocalRandom t=ThreadLocalRandom.current();<br>System.out.println(t.nextInt(50));//随机生成0~50的随机数,不包括50<br>System.out.println(t.nextInt(30, 50));//随机生成30~50的随机数,不包括50
ThreadLocalRandom
从Math.random()改变到ThreadLocalRandom有如下好处:
不再有从多个线程访问同一个随机数生成器实例的争夺。
取代以前每个随机变量实例化一个随机数生成器实例,可以每个线程实例化一个。<br>
异常处理
什么是异常?
异常是程序经常会出现的,<br>
发现错误的最佳时机是在编译阶段,也就是你试图在运行程序之前。
但是, 在编译期间并不能找到所有的错误,有一些运行时异常在编译期找不到,这些异常往往在运行时才能被发现。
所谓异常就是程序运行时可能出现一些错误,比如试图打开一个根本不存在的文件等,异常处理将会改变程序的控制流程,让程序有机会对错误作出处理。<br>
如果某个方法不能按照正常的途径完成任务,就可以通过另一种路径退出方法。
在这种情况下会抛出一个封装了错误信息的对象。此时,这个方法会立刻退出同时不返回任何值。
另外,调用这个方法的其他代码也无法继续执行,异常处理机制会将代码执行交给异常处理器。
在Java中,把异常理解为是一种能够提高你程序健壮性的机制,它能够让你在编写代码中注意这些问题
如果写代码不会注意这些异常情况,无法成为一位硬核程序员
异常分类
图解Throwable异常
图解异常
Throwable概述
Throwable是 Java 语言中所有错误或异常的超类。
Error和Exception两者都是Java 异常处理的重要⼦类, 各⾃都包含⼤量⼦类。均继承自Throwable 类。
Throwable类是Java语言中所有错误(errors)和异常(exceptions)的父类。<br>
只有继承于Throwable的类或者其子类才能够被抛出,
还有一种方式是带有Java中的@throw注解的类也可以. 抛出。
对Throwable及其子类进行归类分析<br>
在Java规范中,对非受查异常和受查异常的定义是这样的:
| The unchecked exception classes are the run-time exception classes and the error classes.<br>The checked exception classes are all exception classes other than the unchecked exception classes. That is, the checked exception classes are Throwable and all its subclasses other than RuntimeException and its subclasses and Error and its subclasses.
也就是说,除了 RuntimeException和其子类,以及error和其子类,其它的所有异常都是 checkedException
对Throwable及其子类进行归类分析
Throwable位于异常和错误的最顶层
按照这种逻辑关系,对Throwable及其子类进行归类分析
查看Throwable类中发现它的方法和属性有很多,几个比较常用的方法
//返回抛出异常的详细信息<br> public string getMessage();<br> public string getLocalizedMessage();<br>
//返回异常发生时的简要描述<br>public public String toString()
//打印异常信息到标准输出流上<br> public void printStackTrace();<br> public void printStackTrace(PrintStream s);<br> public void printStackTrace(PrintWriter s)
//记录栈帧的的当前状态<br> public synchronized Throwable fillInStackTrace();
此外,因为Throwable的父类也是Object,所以.常用的方法还有继承其父类的getClass()和 getName()方法。
写Java程序经常会出现两种问题,都用来表示出现了异常情况
Throwable
Error(java.Iang.Error)
什么是Error类?
表⽰系统级的错误
应用程序不会抛出该类对象。
如果出现了这样的错误,除了告知用户,剩下的就是尽力使程序安全的终止。
Error类是指java运行时系统的内部错误和资源耗尽错误。
Error是程序无法处理的错误,表示运行应用程序中较严重问题。<br>
大多数错误与代码编写者执行的操作无关,而表示代码运行时JVM (Java虚拟机)出现的问题。
这些错误是不可检查的,因为它们在应用程序的控制和处理能力之外,而且绝大多数是程序运行时不允许出现的状况<br>
是java 运⾏环境内部错误或者硬件问题, 不能指望程序来处理这样的问题, 除了退出运⾏外别⽆选择, 它是JVM抛出的。
一般发生在严重故障时,它们在java程序处理的范畴之外
比如OutOfMemoryError和StackOverflowError异常的出现会有几种情况
只有Java内存模型中的程序计数器,是不会发生OutOfMemoryError情况的区域
除了程序计数器外,其他区域都是可能发生 OutOfMemoryError 的区域<br>
方法区(Method Area)
方法区无法满足内存分配需求时,将抛出OutOfMemoryError异常。
虚拟机栈(VM Stack)
如果线程请求的栈深度大于虚拟机栈所允许的深度,将会出现StackOverflowError异常;<br>
如果虚拟机动态扩展无法申请到足够的内存,将出现OutOfMemoryError异常
本地方法栈(Native Method Stack)
本地方法栈和虚拟机栈一样
堆(Heap)
Java堆可以处于物理上不连续,逻辑上连续,就像我们的磁盘空间一样,
如果堆中没有内存 完成实例分配,并且堆无法扩展时,将会抛出OutOfMemoryError。
Exception (java.Iang.Exception)(异常类型)<br>
认识 Exception,什么是Exception
Exception位于java.lang包下,<br>
它是一种顶级接口,继承于Throwable类,Exception的父类是Throwable
Exception类及其子类都是Throwable的组成条件,是程序出现的合理情况。
表⽰程序需要捕捉、需要处理的异常<br>
是由与程序设计的不完善⽽出现的问题, 程序必须处理的问题
程序可以处理的异常,可以捕获且可以恢复。遇到这类异常应尽快处理
Exception 有两种异常,这两种异常都应该去捕获
运行时异常RuntimeException<br>
⼀般是运⾏时异常, 继承⾃RuntimeException
RuntimeException是那些可能在 Java 虚拟机正常运行期间抛出的异常的超类。
非受检异常( unchecked exception)
对于⾮受检异常来说,<br>
在编写代码时, 不需要显⽰的捕获,
但是如果不捕获, 在运⾏期,如果发⽣异常,就会中断程序的执⾏。
代码原因以及程序员的错误】
这种异常⼀般可以理解为是代码原因导致的。
如果出现RuntimeException,那么一定是程序员的错误.
只要代码写的没问题, 这些异常都是可以避免的,也就不需要显⽰的进⾏处理。
如果要对所有可能发⽣空指针的地⽅做异常处理, 那相当于所有代码都需要做这件事。
RuntimeException举例如:NullPointerException发⽣空指针异常、ArrayIndexOutOfBoundsException数组越界、ClassCastException类型转换异常;
编译时异常/受检异常CheckedException<br>
检查异常CheckedException
如I/O错误导致的IOException、SQLException、FileNotFoundException。
这种异常在IO 操作中⽐较多
以FileNotFoundException为例
当使⽤IO 流处理⼀个⽂件时, 有⼀种特殊情况, 就是⽂件不存在,
所以, 在⽂件处理的接口定义时,它会显⽰抛出FileNotFoundException,<br>
⽬的就是告诉这个⽅法的调⽤者,这个⽅法不保证⼀定可以成功,
是有可能找不到对应的⽂件的,你要明确的对这种情况做特殊处理哦。
所以说, 当我们希望我们的⽅法调⽤者, 明确的处理⼀些特殊情况的时候, 就应该使⽤受检异常。
一般是外部错误,这种异常都发生在编译阶段
Java编译器会强制程序去捕获此类异常,即会出现要求你把这段可能出现异常的程序进行try catch
该类异常一般包括几个方面
1. 试图在文件尾部读取数据
2. 试图打开一个错误格式的URL
3. 试图根据给定的字符串查找class对象,而这个字符串表示的类并不存在
⼀定要对该异常进⾏处理( 捕获或者向上抛出),否则是⽆法编译通过的
对于受检异常来说,
如果⼀个⽅法在声明的过程中证明了其要有受检异常抛出:
public void test() throw new Exception{ }
那么,当在程序中调⽤他时, ⼀定要对该异常进⾏处理( 捕获或者向上抛出)
否则是⽆法编译通过的。
这是⼀种强制规范。
举例:如I/O错误导致的IOException、SQLException、FileNotFoundException。
异常对象可以调用如下方法,得到或输出有关异常的信息
public String getMessage();<br>public void printStackTrace();<br>public String toString(); <br>
与Exception异常有关的关键字/方法/用法<br>
throws 和 throw
在Java中,异常也就是一个对象,<br>
它能够被程序员自定义抛出或者应用程序抛出,必须借助于throws和throw语句来定义抛出异常。
throws和throw通常是成对出现的
throw语句<br>
用在方法体内,
表示抛出异常,
由方法体内的语句处理。
具体向外抛异常的动作,所以它是抛出一个异常实例。
⽤来明确地抛出⼀个异常
throws语句
用在方法声明后面,
表示再抛出异常
由该方法的调用者来处理。
主要是声明这个方法会抛出这种类型的异常,使它的调用者知道要捕获这个异常。
⽤来声明⼀个⽅法可能抛出的各种异常
Throw和throws的区别
区别
【位置不同】
throws用在函数上,后面跟的是异常类,可以跟多个
throw用在函数内,后面跟的是异常对象。
【功能不同】
throws用来声明异常,让调用者只知道该功能可能出现的问题,可以给出预先的处理方式;
throw抛出具体的问题对象,执行到throw,功能就已经结束了,跳转到调用者,并将具体的问题对象抛给调用者。
也就是说throw语句独立存在时,下面不要定义其他语句,因为执行不到。
throws表示出现异常的一种可能性,并不一定会发生这些异常;
throw则是抛出了异常,执行throw则一定抛出了某种异常对象。
两者都是消极处理异常的方式,只是抛出或者可能抛出异常,但是不会由函数去处理异常,真正的处理异常由函数的上层调用处理。
try、finally、catch<br>
这三个关键字主要有下面几种组合方式
try
⽤来指定⼀块预防所有异常的程序;
catch
catch⼦句紧跟在try 块后⾯, ⽤来指定你想要捕获的异常的类型;
finally<br>
为确保⼀段代码不管发⽣什么异常状况都要被执⾏;
try...catch
try~catch语句:表示对某一段代码可能抛出异常进行的捕获
Java使用try~catch语句来处理异常,将可能出现的异常操作放在try~catch语句的try部分,将发生异常后的处理放在catch部分。<br>
try~catch语句的格式如下
try {<br> 包含可能发生异常的语句<br> } catch(ExceptionSubClass1 e) {<br> … …<br> } catch(ExceptionSubClass2 e) {<br> … …<br> } <br>
try...finally
表示对一段代码不管执行情况如何, 都会走finally中的代码
try...catch..fiinally
表示对异常捕获后,再走finally中的代码逻辑
try-with-resources
糖块十一、try-with-resource
Java7以前的流操作
Java 里,对于文件操作IO 流、数据库连接等开销非常昂贵的资源
用完之后必须及时通过close 方法将其关闭,否则资源会一直处于打开状态,可能会导致内存泄露等问题。
关闭资源的常用方式就是在finally 块里是释放,即调用close 方法
比如,经常会写这样的代码:
关闭资源的常用方式就是在finally 块里是释放,即调用close 方法
static String readFirstLineFromFileWithFinallyBlock(String path) throws IOException {<br><br> BufferedReader br = new BufferedReader(new FileReader(path));<br> try {<br> return br.readLine();<br> } finally {<br> if (br != null) br.close();<br> }<br>}<br>
Java 7 开始的流操作
从Java 7 开始,jdk 提供了一种更好的方式关闭资源,使用try-with-resources 语句,
改写一下上面的代码,效果如下:
看,这简直是一大福音啊,<br>
static String readFirstLineFromFileWithFinallyBlock(String path) throws IOException {<br> <br> try( BufferedReader br = new BufferedReader(new FileReader(path)) ) {<br> return br.readLine();<br> }<br>}<br>
虽然我之前一般使用IOUtils 去关闭流,并不会使用在finally 中写很多代码的方式,
但是这种新的语法糖看上去好像优雅很多呢。
编译之后
编译之后
其实背后的原理也很简单,那些没有做的关闭资源的操作,编译器都帮我们做了。
所以,再次印证了,语法糖的作用就是方便程序员的使用,但最终还是要转成编译器认识的语言。
finally 和return 的执行顺序
try() ⾥⾯有⼀个return 语句, 那么后⾯的finally{}⾥⾯的code 会不会被执⾏, 什么时候执⾏, 是在return 前还是return 后?
如果try 中有return 语句, 那么finally 中的代码还是会执⾏。
因为return 表⽰的是要整个⽅法体返回, 所以,finally 中的语句会在return 之前执⾏。
但是return 前执行的finally 块内,对数据的修改效果对于引用类型和值类型会不同:
子主题
请说明final,finally,finalize的区别?
无论是否抛出异常,finally代码块都会执行,它主要是用来释放应用占用的资源。
final关键字
用于声明属性,方法和类,分别表示属性不可变,方法不可重写,类不可继承
finally代码块
异常处理语句结构的一部分,代表总执行
finalize()方法<br>
Object类的一个方法
finalize()方法是Object类的一个protected方法
在垃圾收集器执行时,会调用被回收对象的此方法
它是在对象被垃圾回收之前由Java虚拟机来调用的。
异常的处理方式
遇到问题不进行具体处理,而是继续抛给调用者 (throw,throws)
异常,千万不能捕获了之后什么也不做。或者只是使⽤e.printStacktrace。
抛出异常有三种形式
一是throw
一个throws
还有一种系统自动抛异常
正确处理异常(具体的处理⽅式的选择其实原则⽐较简明)
异常的处理⽅式有两种<br>
1、⾃⼰处理<br>
自己明确的知道如何处理的,就要处理掉。
2、向上抛,交给调⽤者处理。
不知道如何处理的,就交给调⽤者处理。
自定义异常类
也可以扩展Exception类定义自己的异常类,然后规定哪些方法产生这样的异常。<br>
一个方法在声明时可以使用throws关键字声明要产生的若干个异常,并在该方法的方法体中具体给出产生异常的操作,
即用相应的异常类创建对象,并使用throw关键字抛出该异常对象,导致该方法结束执行。
⾃定义异常就是开发人员⾃⼰定义的异常, ⼀般通过继承Exception 的⼦类的⽅式实现。
编写⾃定义异常类实际上是继承⼀个API 标准异常类,⽤新定义的异常处理信息覆盖原有信息的过程。
这种⽤法在Web 开发中也⽐较常见,一般可以⽤来⾃定义业务异常。如余额不⾜、重复提交等。
这种⾃定义异常有业务含义,更容易让上层理解和处理
异常链
“异常链”是什么?
“异常链”是Java 中⾮常流⾏的异常处理概念
是指在进⾏⼀个异常处理时抛出了另外⼀个异常, 由此产⽣了⼀个异常链条。
该技术⼤多⽤于将“ 受检查异常” 封装成为“⾮受检查异常”或者RuntimeException。
如果因为异常你决定抛出⼀个新的异常,⼀定要包含原有的异常,这样, 处理程序才可以通过getCause()和initCause()⽅法来访问异常最终的根源。<br>
从Java 1.4 版本开始,几乎所有的异常都支持异常链。<br>
以下是Throwable 中支持异常链的方法和构造函数。<br>
Throwable getCause()<br>Throwable initCause(Throwable)<br>Throwable(String, Throwable)<br>Throwable(Throwable)<br>
initCause 和Throwable 构造函数的Throwable 参数是导致当前异常的异常。<br>getCause 返回导致当前异常的异常,initCause 设置当前异常的原因。<br>
以下示例,显示如何使用异常链。<br>
try {<br>} catch (IOException e) {<br> throw new SampleException("Other IOException", e);<br>}
在此示例中,当捕获到IOException 时,将创建一个新的SampleException 异常,
并附加原始的异常原因,并将异常链抛出到下一个更高级别的异常处理程序。
常见问题
生产环境上的OOM?
如何优化try catch
什么是Throwable ?
Java如何进行异常处理?
每当一个方法出现异常后,便抛出一个异常对象,该对象中包含有异常信息。
调用这个对象中的方法,可以捕获这个异常,并进行处理。
Java的异常有几种?Exception和Error的区别是什么?
如何避免NLP异常?
optional
Java中的两种异常类型是什么?他们有什么区别?
受检查的(checked)异常
受检查的异常必须要用throws语句在方法或者是构造函数上声明。
不受检查的(unchecked)异常
不受检查的异常不需要在方法或者是构造函数上声明
就算方法或者是构造函数的执行可能会抛出这样的异常,并且不受检查的异常可以传播到方法或者是构造函数的外面。
运行时异常和一般异常有什么区别?
运行时异常不是必须要catch;一般异常必须要catch
Java中Exception和Error有什么区别?
Exception和Error都是Throwable的子类。
Exception用于用户程序可以捕获的异常情况。
Error定义了不期望被用户程序捕获的异常。
throw和throws有什么区别?
throw关键字用来在程序中明确的抛出异常,相反,throws语句用来表明方法不能处理的异常。
每一个方法都必须要指定哪些异常不能处理,所以方法的调用者才能够确保处理可能发生的异常,多个异常是用逗号分隔的。
Java异常处理的一些小建议。
异常处理的时候,finally代码块的重要性是什么?
无论是否抛出异常,finally代码块总是会被执行。就算是没有catch语句同时又抛出异常的情况下,finally代码块仍然会被执行。
最后要说的是,finally代码块主要用来释放资源,比如:I/O缓冲区,数据库连接。
异常处理完成以后,Exception对象会发生什么变化?
Exception对象会在下一个垃圾回收过程中被回收掉。
注解
图解
图解
Java注解(Annotation)概念
又称为元数据
一种对元程序中元素关联信息和元数据的途径和方法。
元数据(metadata)
一个接口,程序可以通过反射来获取指定程序中元素的Annotation对象,然后通过该Annotation对象来获取注解中的元数据信息。
Annotation(注解)
它为我们在代码中添加信息提供了一种形式化的方法。
Java提供的
它是JDK1.5引入的
Java定义了一套注解
4种标准元注解
@Target
修饰的对象范围
说明了Annotation所修饰的对象范围
在Annotation类型的声明中使用了target可更加明晰其修饰的目标
Annotation可被用于
packages
types(类、接口、枚举、Annotation类型)
类型成员(方法、构造方法、成员变量、枚举值)
方法参数和本地变量(如循环变量、catch参数)
@Retention
定义 被保留的时间长短
定义了该Annotation被保留的时间长短
表示需要在什么级别保存注解信息,用于描述注解的生命周期(即:被描述的注解在什么范围内有效),
取值(RetentionPoicy)由:
SOURCE:在源文件中有效(即源文件保留)
CLASS:在class文件中有效(即class保留)
RUNTIME:在运行时有效(即运行时保留)
@Documented
描述-javadoc
用于描述其它类型的annotation应该被作为被标注的程序成员的公共API
可以被例如javadoc此类的工具文档化。
@Inherited
阐述了某个被标注的类型是被继承的
该元注解是一个标记注解
阐述了某个被标注的类型是被继承的
如果一个使用了@Inherited修饰的annotation类型被用于一个class,则这个annotation将被用于该class的子类。
元注解的作用
元注解的作用是负责注解其他注解。
Java5.0定义了4个标准的meta-annotation类型
它们被用来提供对其它 annotation类型作说明。
7个Java注解(Annotation)
3个自定义注解
在java.lang中
作用在代码中的注解
开发中日常使用注解大部分是用在类上,方法上,字段上
作用在代码中的注解,有三个自定义注解
@Override<br>
重写标记,一般用在子类继承父类后,标注在重写过后的子类方法上。
如果发现 其父类,或者是引用的接口中并没有该方法时,会报编译错误。
不是一个元注解。
表示当前方法覆盖了父类的方法。
@Deprecated
用此注解注释的代码已经过时,不再推荐使用
表示方法已经过时,方法上有横线,使用时会有警告。
@SuppressWarnings<br>
这个注解起到忽略编译器的警告作用
表示关闭一些警告信息(通知java 编译器,忽略特定的编译警告)。
自定义注解
除了元注解, 都是自定义注解
通过元注解定义出来的注解。
如常用的Override 、Autowire 等。
日常开发中也可以自定义一个注解,这些都是自定义注解。
剩下4个元注解
在 java.lang.annotation 中。
元注解
用来标志注解的注解<br>
定义其他注解的注解
比如Override 这个注解,就不是一个元注解。而是通过元注解定义出来的。
@Target(ElementType.METHOD)<br>@Retention(RetentionPolicy.SOURCE)<br>public @interface Override {<br>}
这里面的@Target @Retention 就是元注解。
元注解的使用,示列代码如下
@Target(ElementType.METHOD)<br>@Retention(RetentionPolicy.RUNTIME)<br>@Documented<br>public @interface EnableAuth {<br>}
元注解有四个
@Retention
表示什么级别保存该注解信息
用于指定被修饰的注解被保留多长时间
标识如何存储,是只在代码中,还是编入class文件中,或者是在运行时可以通过反射访问。
只有注解的@Retension标注为RUNTIME时, 才能够通过反射获取到该注解
@Retension有3种保存策略<br>
RetentionPolicy.SOURCE
注解只保留在源文件,仅存在于源码中,在class 字节码文件中不包含
只在源文件(.java) 中保存, 即该注解只会保留在源文件中<br>
当Java文件编译成class文件时,注解被遗弃
编译时编译器会忽略该注解
例如,@Override注解
RetentionPolicy.CLASS
默认的保留策略
注解被保留到class文件,但jvm加载class文件时被遗弃,这是默认的生命周期
保存在字节码文件.class中, 注解会随着编译跟随字节码文件中, 但是运行时不会对该注解进行解析<br>
注解会在class 字节码文件中存在,但运行时无法获取
RetentionPolicy.RUNTIME
用得最多
注解,不仅被保存到class文件中,jvm加载class文件之后,仍然存在;
一直保存到运行时, 用得最多的一种保存策略, 在运行时,可以获取到该注解的所有信息<br>
注解会在class 字节码文件中存在,在运行时,可以通过反射获取到
如果想要在程序运行过程中,通过反射来获取注解的信息,需要将Retention 设置为RUNTIME。
举例
像下面这个例子, Small Pineapple类继承了抽象类Pineapple, getInfo()方法上标识有@Override注解, 且在子类中标注了@Transient注解, <br>
在运行时,获取子类重写方法上的所有注解,只能获取到@Transient的信息,
Small Pineapple类继承了抽象类Pineapple, getInfo()方法上标识有@Override注解, 且在子类中标注了@Transient注解,
启动类Bootstrap获取Small Pineapple类中的getInfo0方法上的注解信息:
启动类Bootstrap获取Small Pineapple类中的getInfo0方法上的注解信息:
@Documented
标记这些注解是否包含在JavaDoc中
将此注解包含再JavaDoc中)
用于指定被修饰的注解类将被javadoc 工具提取成文档。
@Target
标记这个注解说明了 Annotation所修饰的对象范围,
用于指定被修饰的注解修饰哪些程序单元,也就是上面说的类,方法,字段。
表示该注解可以用于什么地方
Annotation可被用于
packages
types (类、接口、枚举、Annotation类型)
类型成员(方法、构造方法、成员变 量、枚举值)
方法参数和本地变量(如循环变量、catch参数)
取值如下
@Target取值
@Inherited
标记这个注解是继承于哪个注解类的。
允许子类继承父类中的注解
用于指定被修饰的注解类将具有继承性。
从JDK1.7开始,又添加了三个额外的注解<br>
@SafeVarargs
jdk1.7 更新
在声明可变参数的构造函数或方法时,Java编译器会报unchecked警告。
使用@SafeVarargs可以.忽略这些警告
表示:专门为抑制“堆污染”警告提供的。
@Functionallnterface
jdk1.8 更新
表明这个方法是一个函数式接口
用来指定某个接口必须是函数式接口,否则就会编译出错。
@Repeatable
标识某注解可以在同一个声明上使用多次
注解与反射的结合,通过反射获取注解
注解和反射经常结合在一起使用,在很多框架的代码中都能看到他们结合使用的影子。<br>
获取注解单独拧了出来, 因为它并不是专属于Class对象的一种信息<br>
每个变量, 方法和构造器都可以被注解修饰
只有注解的@Retension标注为RUNTIME时, 才能够通过反射获取到该注解<br>
在反射中, Field, Constructor和Method类对象,都可以调用下面这些方法,获取标注在它们之上的注解。
Annotation[] getAnnotations0<br>
获取该对象上的所有注解
Annotation getAnnotation(Class annotationClass)
传入注解类型, 获取该对象上的特定一个注解
Annotation[] getDeclaredAnnotations()
获取该对象上的显式标注的所有注解, 无法获取继承下来的注解
Annotation getDeclaredAnnotation(Class annotationClass)
根据注解类型, 获取该对象上的特定一个注解,无法获取继承下来的注解
可以通过反射来判断类,方法,字段上是否有某个注解以及获取注解中的值,获取某个类中方法上的注解代码示例如下:<br>
获取某个类中方法上的注解代码示例如下:
通过isAnnotationPresent 判断是否存在某个注解,
通过getAnnotation 获取注解对象,然后获取值。
示例代码
示例参考链接:
https://blog.csdn.net/KKALL1314/article/details/96481557
实现功能如下:
一个类的某些字段上被注解标识,在读取该属性时,将注解中的默认值赋给这些属性,没有标记的属性不赋值:
定义注解接口类
子主题
定义一个类
这里给str1 加了注解,并利用反射解析并赋值:
测试类
测试类
子主题
运行结果:
Person(stra=有注解, strb=无注解, strc=无注解)
APT<br>
当开发者使用了Annotation 修饰了类、方法、Field 等成员之后,
这些Annotation不会自己生效,必须由开发者提供相应的代码来提取并处理Annotation 信息。
这些处理提取和处理Annotation 的代码,统称为APT(Annotation Processing Tool)。
注解的提取需要借助于Java 的反射技术,反射比较慢,所以注解使用时也需要谨慎计较时间成本。
如何自定义一个注解?
使用@interface定义的注解类
在Java 中,类使用class 定义,接口使用interface 定义,
注解和接口的定义差不多,增加了一个@符号,即@interface
public @interface EnableAuth {<br>}
定义成员变量,用于信息的描述
注解中可以定义成员变量,用于信息的描述,
跟接口中方法的定义类似,
定义成员变量,用于信息的描述
可以添加默认值
可以添加默认值
注解处理器
如果没有用来读取注解的方法和工作,那么注解也就不会比注释更有用处了。
使用注解的过程中,很重要的一部分就是创建于使用注解处理器。
Java SE5扩展了反射机制的API,以帮助程序员快速的构造自定义注解处理器。下面实现一个注解处理器。
反射
诞生背景
假如需要实例化一个HashMap,
【第一版本】代码就会是这样子,
实例化一个HashMap
【第二版本】某一天发现, 该段程序不适合用HashMap存储键值对, 更倾向于用Linked HashMap存储。<br>
重新编写代码后变成下面这个样子。
更倾向于用Linked HashMap存储
【第三版本】假如又有一天, 发现数据还是适合用HashMap来存储, 难道又要重新修改源码吗?
发现问题了吗? 每次改变一种需求,都要去重新修改源码,然后对代码进行编译,打包,再到JVM上重启项目, 这么些步骤下来, 效率非常低。<br>
图解
图解
【第N版本】对于这种需求频繁变更但变更不大的场景,频繁地更改源码肯定是一种不允许的操作<br>
可以使用一个开关,判断什么时候使用哪一种数据结构.
使用一个开关,判断什么时候使用哪一种数据结构.
通过传入参数param决定使用哪一种数据结构, 可以在项目运行时, 通过动态传入参数决定使用哪一个数据结构。<br>
【第N+1版本】如果某一天还想用TreeMap, 还是避免不了修改源码, 重新编译执行的弊端。这个时候, 反射就派上用场了。<br>
在代码运行之前,不确定将来会使用哪一种数据结构,只有在程序运行时才决定使用哪一个数据类,而反射可以在程序运行过程中动态获取类信息和调用类方法。<br>
通过反射构造类实例,代码会演变成下面这样。<br>
通过反射构造类实例
回顾一下如何从new一个对象引出使用反射的
在不使用反射时, 构造对象使用new方式实现, 这种方式在编译期就可以把对象的类型确定下来。<br>
如果需求发生变更,需要构造另一个对象,则需要修改源码,非常不优雅,<br>
所以通过使用开关,在程序运行时判断需要构造哪一个对象,在运行时可以变更开关来实例化不同的数据结构。
如果还有其它扩展的类有可能被使用,就会创建出非常多的分支,且在编码时不知道有什么其他<br>的类被使用到, 假如日后Map接口下多了一个集合类是xxx HashMap, 还得创建分支, 此时引出<br>了反射:可以在运行时才确定使用哪一个数据类,在切换类时,无需重新修改源码、编译程序。<br>
反射机制概念是什么?
Java中一个非常重要的知识点,同时也是一个高级特性
(运行状态中知道类所有的属性和方法)
在运行状态中,对于任意一个类都能够知道这个类所有的属性和方法;
并且对于任意一个对象,都能够调用它的任意一个方法;
反射机制指的是程序在运行时能够获取自身的信息。
在java 中,只要给定类的名字,那么就可以通过反射机制来获得类的所有属性和方法。
反射就像是一个掌控全局的角色,不管你程序怎么运行,我都能够知道你这个类有哪些属性 和方法,你这个对象是由谁调用的
反射是开源框架中的一个重要设计理念,在源码分析中少不了它的身影<br>
Java语言的反射机制
在运行过程中,对于任何一个类,都能够知道它的所有属性和方法
【动态获取信息】
在运行过程中,对于任意一个对象,都能够知道调用它的任意属性和方法
【动态调用对象】
反射的思想<br>
在程序运行过程中确定和解析数据类的类型
反射的作用<br>
对于在编译期无法确定使用哪个数据类的场景,通过反射,可以在程序运行时构造出不同的数据类实例<br>
正射是什么
平常用的最多的new方式实例化对象的方式,就是一种正射的体现<br>
使用场景、应用场景
编译时类型和运行时类型
在Java程序中许多对象在运行是都会出现两种类型:编译时类型和运行时类型。
编译时的类型
由声明对象时使用的类型来决定
运行时的类型
由实际赋值给对象的类型决定
如:Person p=new Student(); 其中编译时类型为Person,运行时类型为Student。
编译时类型无法获取具体方法
程序在运行时还可能接收到外部传入的对象,该对象的编译时类型为Object,但是程序有需要调用该对象的运行时类型的方法。
为了解决这些问题,程序需要在运行时发现对象和类的真实信息。
然而,如果编译时根本无法预知该对象和类属于哪些类,程序只能依靠运行时信息来发现该对象和类的真实信息,此时就必须使用到反射了。
Spring框架,Bean的初始化用到了反射、Spring实例化对象<br>
Bean的初始化用到了反射、Spring实例化对象
Spring的IOC容器
当程序启动时, Spring会读取配置文件applicationContext.xml<br>
配置文件applicationContext.xml
在Spring中, 经常会编写一个上下文配置文件applicationContext.xml,<br>
在定义好上面的文件后, 通过ClassPathXmlApplicationContext加载该配置文件<br>
通过ClassPathXmlApplicationContext加载该配置文件
IOC容器本质上就是一个工厂,通过该工厂传入<bean>标签的id属性获取到对应的实例.
程序启动时,Spring会将该配置文件中的所有bean都实例化, 放入IOC容器中,
并解析出里面所有的标签,实例化到IOC的容器中<br>
里面就是关于bean的配置, 程序启动时会读取该xml文件, 解析出所有的<bean>标签, 并实例化对象放入IOC容器中。
Spring在实例化对象的过程经过简化之后, 可以理解为反射实例化对象的步骤:
获取Class对象的构造器
通过构造器调用newInstance() 实例化对象
当然,Spring在实例化对象时, 做了非常多额外的操作, 才能够让现在的开发足够的便捷且稳定
基本上Spring等一系列框架,都是基于反射的思想 写成的。
反射+工厂模式消除工厂中的多个分支<br>
通过反射消除工厂中的多个分支,如果需要生产新的类,无需关注工厂类,工厂类可以应对各种新增的类,反射可以使得程序更加健壮<br>
传统的工厂模式,如果需要生产新的子类,需要修改工厂类,在工厂类中增加新的分支:
传统的工厂模式
利用反射和工厂模式相结合,在产生新的子类时,工厂类不用修改任何东西,可以专注于子类的实现,当子类确定下来时,工厂也就可以生产该子类了。<br>
核心思想
在运行时,通过参数传入不同子类的全限定名,获取到不同的Class对象, 调用newInstance() 方法返回不同的子类。<br>
反射+抽象工厂模式,一般会用于有继承或者接口实现关系
举例:在运行时,才确定使用哪一种Map结构, 可以利用反射传入某个具体Map的全限定名, 实例化一个特定的子类。<br>
在运行时,才确定使用哪一种Map结构
className可以指定为java.util.HashMap,或者java.util.TreeMap等等,根据业务场景来定,
JDBC连接数据库、JDBC加载数据库驱动类
使用JDBC连接数据库时, 指定连接数据库的驱动类时用到反射加载驱动类
在导入第三方库时, JVM不会主动去加载外部导入的类,<br>
而是等到真正使用时, 才去加载需要的类, 正是如此, 可以在获取数据库连接时传入驱动类的全限定名, 交给JVM加载该类
案例代码
指定连接数据库的驱动类时,用到反射,加载驱动类
Springboot中的驱动
开发Spring Boot项目时, 会经常遇到这个类, 但是可能习惯成自然了, 就没多大在乎<br>
看看常见的application.yml中的数据库配置, 应该会恍然大悟
application.yml中的数据库配置<br>
这里的driver-class-name, 和一开始加载的类是不是觉得很相似, 这是因为MySQL版本不同引起的驱动类不同,
使用反射的好处:不需要修改源码,仅加载配置文件就可以完成驱动类的替换。
在获取标注的注解时,也会用到反射
在反射中, Field, Constructor和Method类对象,都可以调用下面这些方法,获取标注在它们之上的注解。
Annotation[] getAnnotations0<br>
获取该对象上的所有注解
Annotation getAnnotation(Class annotationClass)
传入注解类型, 获取该对象上的特定一个注解
Annotation[] getDeclaredAnnotations()
获取该对象上的显式标注的所有注解, 无法获取继承下来的注解
Annotation getDeclaredAnnotation(Class annotationClass)
根据注解类型, 获取该对象上的特定一个注解,无法获取继承下来的注解
只有注解的@Retension标注为RUNTIME时, 才能够通过反射获取到该注解
在破坏单例模式时也用到了反射
还记得单例模式一文吗 ? 里面讲到,反射破坏饿汉式和懒汉式单例模式,所以之后用了枚举,避免被反射KO。<br>
回到最初的起点<br>
Small Pineapple里有一个weight属性被private修饰符修饰, 目的在于自己的体重并不想给外界知道。
Small Pineapple里有一个weight属性被private修饰符修饰, 目的在于自己的体重并不想给外界知道。
虽然weight属性理论上只有自己知道, 但是如果经过反射, 这个类就像在裸奔一样, 在反射面前变得一览无遗。<br>
如果经过反射, 这个类就像在裸奔一样, 在反射面前变得一览无遗。
反射主要提供了以下这几个功能
反射中的用法有非常非常多,常见的功能有以下这几个
在运行时<br>
判断任意一个对象所属的类/获取一个类的Class对象
Class 类
Class 类是什么?
在Java中,你每定义一个java class实体都会产生一个Class对象。
当编写一个类, 编译完成后,在生成的.class文件中,就会产生一个Class对象,这个Class对象用于表示这个类 的类型信息。
当一个类或接口被装入的JVM 时便会产生一个与之关联的java.lang.Class 对象,可以通过这个Class 对象对被装入类的详细信息进行访问。
Java.lang.Class 是一个比较特殊的类
Class中没有公共的构造器<br>
Class对象不能被实例化。
任何运行在内存中的所有类都是该Class类的实例对象, 每个Class类对象内部都包含了本来的所有信息。<br>
Java 的Class 类是java 反射机制的基础<br>
通过Class 类,可以获得关于一个类的相关信息。
它用于封装被装入到JVM 中的类(包括类和接口)的信息。
每个类(型)都有一个Class 对象
JVM为每种类型管理一个独一无二的Class 对象
运行程序时,JVM先检查是否所要加载的类对应的Class 对象是否已经加载
如果没有加载,JVM 就会根据类名查找.class 文件,并将其Class 对象载入。
获取Class对象的三种方法
调用某个类的class属性来获取该类对应的Class对象<br>
类名.class
类名.class:
Class clazz=Person.class;
这种获取方式只有在编译前已经声明了该类的类型才能获取到Class对象
调用某个对象的getClass()方法<br>
实例.getClass()
实例.getClass()
Person p=new Person();
Class clazz=p.getClass();
通过实例化对象,获取该实例的Class对象
使用Class类中的forName()静态方法(最安全/性能最好)<br>
Class clazz=Class.forName("类的全路径"); (最常用)
Class.for Name(class Name)
Class.for Name(class Name)
//获取Person类的Class对象 <br>Class clazz=Class.forName("reflection.Person");<br>
//获取Person类的所有方法信息 <br>Method[] method=clazz.getDeclaredMethods(); <br>for(Method m:method){ <br>System.out.println(m.toString()); <br>}<br>
//获取Person类的所有成员属性信息 <br>Field[] field=clazz.getDeclaredFields(); <br>for(Field f:field){ <br>System.out.println(f.toString()); <br>}<br>
//获取Person类的所有构造方法信息<br> Constructor[] constructor=clazz.getDeclaredConstructors(); <br>for(Constructor c:constructor){ <br>System.out.println(c.toString()); <br>}<br>
通过类的全限定名获取该类的Class对象
当获得了想要操作的类的Class对象后,可以通过Class类中的方法获取并查看该类中的方法和属性。
常用方法
toString()
toString()方法能够将对象转换为字符串
toString()首先会判断Class类型是否是接口类型
普通类和接口都能够用Class对象来表示,然后再判断是否是基本数据类型,
这里判断的都是基本数据类型和包装类,还有void类型。
所有的类型如下
• java.lang.Boolean :代表boolean数据类型的包装类<br>• java.Iang.Character :代表char数据类型的包装类<br>• java.lang.Byte:代表byte数据类型的包装类<br>• java.lang.Short :代表short数据类型的包装类<br>• java.lang.Integer :代表int数据类型的包装类<br>• java.lang.Long :代表long数据类型的包装类<br>• java.lang.Float :代表float数据类型的包装类<br>java.lang.Double :代表double数据类型的包装类<br>• java.lang.Void :代表void数据类型的包装类<br>
getName()
然后是getName()方法,这个方法返回类的全限定名称。
•如果是引用类型,比如 String.class.getName。-> java.lang.String<br>•如果是基本数据类型,byte.class.getName。-> byte<br>•如果是数组类型,new Object[3]).getClass().getNameO -> [Ljava.lang.Object<br>
toString()源码
子主题
toGenericString()
这个方法会返回类的全限定名称,而且包括类的修饰符和类型参数信息。
forName()
根据类名获得一个Class对象的引用,这个方法会使类对象进行初始化。
例如 Class t = Class.forName("java.lang.Thread")就能够初始化一个 Thread 线程对象
三种获取类实例的方式
Class.forName(java.lang.Thread)<br>
Thread.class
thread.getClass()
newInstance()
创建一个类的实例,代表着这个类的对象。
上面forName()方法对类进行初始化,newInstance()方法对 类进行实例化。
其他更多
getClassLoader()获取类加载器对象。
getTypeParameters()按照声明的顺序获取对象的参数类型信息。
getPackage()返回类的包
getInterfaces()获得当前类实现的类或是接口,可能是有多个,所以返回的是Class数组。
Cast把对象转换成代表类或是接口的对象
asSubclass(Class clazz)把传递的类的对象转换成代表其子类的对象
getClasses()返回一个数组,数组中包含该类中所有公共类和接口类的对象
getDeclaredClasses()返回一个数组,数组中包含该类中所有类和接口类的对象
getSimpleName()获得类的名字
getFields()获得所有公有的属性对象
getField(String name)获得某个公有的属性对象
getDeclaredField(String name)获得某个属性对象
getDeclaredFields()获得所有属性对象
getAnnotation(Class annotationClass)返回该类中与参数类型匹配的公有注解对象
getAnnotations()返回该类所有的公有注解对象
getDeclaredAnnotation(Class annotationClass)返回该类中与参数类型匹配的所有注解对象
getDeclaredAnnotations()返回该类所有的注解对象
getConstructor(Class...<?> parameterTypes)获得该类中与参数类型匹配的公有构造方法
getConstructors()获得该类的所有公有构造方法
getDeclaredConstructor(Class...<?> parameterTypes)获得该类中与参数类型匹配的构造方法
getDeclaredConstructors()获得该类所有构造方法
getMethod(String name, Class...<?> parameterTypes)获得该类某个公有的方法
getMethods()获得该类所有公有的方法
getDeclaredMethod(String name, Class...<?> parameterTypes)获得该类某个方法<br>
getDeclaredMethods()获得该类所有方法
记着一句话, 通过反射干任何事, 先找Class准没错!
拿到Class对象就可以对它为所欲为了<br>
剥开它的皮(获取类信息)
指挥它做事(调用它的方法)
看透它的一切(获取属性)
ClassLoader 类
不过,在程序中, 每个类的Class对象只有一个, 也就是说,只有这一个奴隶。<br>
反射中,还有一个非常重要的类就是ClassLoader类,类装载器是用来把类(class)装载进JVM 的。<br>
ClassLoader使用的是双亲委托模型来搜索加载类的,这个模型也就是双亲委派模型。
ClassLoader的类继承图如下<br>
ClassLoader的类继承图
内存中只有一个Class对象的原因:JVM类加载机制的双亲委派模型<br>
它保证了程序运行时, 加载类时每个类在内存中仅会产生一个Class对象。
JVM帮我们保证了一个类在内存中至多存在一个Class对象。
代码讲解
讲解的代码
用上面三种方式测试, 通过三种方式打印各个Class对象都是相同的。
在运行时
构造一个类的实例化对象/构造任意一个类的对象
构造一个类的实例方式有2种 、创建对象的两种方法
Class对象调用newInstance()方法<br>
即使Small Pineapple已经显式定义了构造方法,
通过newInstance() 创建的实例中, 所有属性值都是对应类型的初始值, 因为newinstance()构造实例会调用默认无参构造器.
使用Class对象的newInstance()方法来创建该Class对象对应类的实例,但是这种方法要求该Class对象对应的类有默认的空构造器。
//获取Person类的Class对象 Class clazz=Class.forName("reflection.Person");
//使用.newInstane方法创建对象 Person p=(Person) clazz.newInstance();
Constructor构造器/Constructor对象调用newInstance() 方法
通过getConstructor(Object..param Types) 方法,指定获取指定参数类型的Constructor<br>
Constuctor调用newInstance(Object...param Values) 时,传入构造方法参数的值, 同样可以构造一个实例, 且内部属性已经被赋值
通过Class对象调用newInstance(),会走默认无参构造方法<br>
如果想通过显式构造方法构造实例, 需要提前从Class中调用getConstructor()方法获取对应的构造器, 通过构造器去实例化对象。
先使用Class对象获取指定的Constructor对象,再调用Constructor对象的newInstance()方法来创建 Class对象对应类的实例
,通过这种方法可以选定构造方法创建实例。
//获取Person类的Class对象 Class clazz=Class.forName("reflection.Person");
//获取构造方法并创建对象 Constructor c=clazz.getDeclaredConstructor(String.class,String.class,int.class);
//创建对象并设置属性<br>
Person p1=(Person) c.newInstance("李四","男",20);
在运行时<br>
调用任意一个对象的方法/判断任意一个类所有的成员变量和方法/获取一个类的所有信息
Class对象中包含了该类的所有信息<br>
类的所有信息包括:变量、方法、构造器、注解
在编译期,能看到的信息就是该类的变量、方法、构造器
在运行时,最常被获取的也是这些信息。
Class类内部主要信息
Field类(变量)
是什么?
Field类提供类或接口中单独字段的信息,以及对单独字段的动态访问。 <br>
描述一个类的属性, 内部包含了该属性的所有信息, 例如数据类型, 属性名, 访问修饰符<br>
常用方法
<br>equals(Object obj) 属性与obj相等则返回true
get(ObJect obJ)获得obj中对应的属性值
set(ObJect obJ, ObJect value)设置obj中对应属性值
包括public和非public修饰的变量,且可获取继承下来的变量
注意:获取不了父类的被protected修饰的变量
获取类中的变量(Field)
获取类中的变量(Field)
Constructor类(构造器)
描述一个类的构造方法, 内部包含了构造方法的所有信息, 例如参数类型, 参数名字,访问修饰符<br>
包括public和非public修饰的构造器
可以通过setAccessible()方法强制访问该构造器
实例化对象,这是破坏懒汉式和饿汉式单例模式的途径
获取类的构造器Constructor<br>
子主题<br>
Method类(普通方法)
是什么?
描述一个类的所有方法(包括抽象方法) , 内部包含了该方法的所有信息,<br><br>
与Constructor类似, 不同之处是Method拥有返回值类型信息, 因为构造方法是没有返回值的。
包括public和非public修饰的方法,且可获取继承下来的方法
注意:无法获取父类的被protected关键字修饰的方法
invoke(ObJect obJ, ObJect... args)传递object对象及参数调用该对象对应的方法
获取类中的方法(Method)
获取类中的方法(Method)
每种功能内部以Declared细分为2类
有Declared修饰的方法
可以获取该类内部包含的所有变量、方法和构造器<br>
但是无法获取继承下来的信息
无Declared修饰的方法
可以获取该类中public修饰的变量、方法和构造器<br>
可获取继承下来的信息
如果想获取类中所有的(包括继承) 变量、方法和构造器, 则需要同时调用getXXXs() 和 getDeclaredXXXs() 两个方法,<br>
用Set集合存储它们获得的变量、构造器和方法, 以防两个方法获取到相同的东西.
例如:要获取Small Pineapple获取类中所有的变量, 代码应该是下面这样写。
例如:要获取Small Pineapple获取类中所有的变量, 代码应该是下面这样写。
通过反射调用方法
通过反射获取到某个Method类对象后, 可以通过调用invoke方法执行,
invoke(Oject obj, Object...args) <br>
参数1:指定调用该方法的对象
参数2:方法的参数列表值
如果调用的方法是静态方法, 参数1只需要传入null, 因为静态方法不与某个对象有关, 只与某个类有关。<br>
代码举例
可以像下面这种做法, 通过反射实例化一个对象, 然后获取Method方法对象, 调用invoke()指定Small Pineapple的getInfo()方法。<br>
通过反射实例化一个对象, 然后获取Method方法对象, 调用invoke()指定Small Pineapple的getInfo()方法。
反射的优势及缺陷<br>
优点
增加程序的灵活性:面对需求变更时,可以灵活地实例化不同对象<br>
举例
利用反射连接数据库, 涉及到数据库的数据源。<br>
在Spring Boot中一切约定大于配置, 想要定制配置时, 使用application.properties配置文件指定数据源
角色1-Java的设计者:<br>
设计好DataSource接口, 其它数据库厂商想要开发者用各自数据源监控数据库,就得实现我的这个接口!
角色2-数据库厂商
MySQL数据库厂商
提供了com.mysql.cj.jdbc.My sqlDataSource数据源, 开发者可以使用它连接MySQL。<br>
阿里巴巴厂商
提供了com.alibaba.druid.pool.Druid DataSource数据源, 这个数据源更牛逼, 具有页面监控, 慢SQL日志记录等功能, 开发者快来用它监控MySQL吧!<br>
SQLServer厂商<br>
提供了com.microsoft.sqlserver.jdbc.SQLServer DataSource数据源,如果想使用用SQLServer作为数据库, 那就使用我们的这个数据源连接吧
角色3-开发者
可以用配置文件指定使用Druid DataSource数据源
使用Druid DataSource数据源
需求变更:某一天, 老板来说, Druid数据源不太符合我们现在的项目了, 使用MysqlDataSource吧, 然后程序员就会修改配置文件, 重新加载配置文件, 并重启项目, 完成数据源的切换<br>
使用MysqlDataSource
在改变连接数据库的数据源时,只需要改变配置文件即可,无需改变任何代码<br>
原因是:Spring Boot底层封装好了连接数据库的数据源配置
利用反射, 适配各个数据源。
源码分析
用ctrl+左键点击spring.datasource.type进入DataSource Properties类中
发现使用setType0将全类名转化为Class对象注入到type成员变量当中。在连接并监控数据库时,就会使用指定的数据源操作。<br>
DataSource Properties类源码
Class对象指定了泛型上界DataSource, 我们去看一下各大数据源的类图结构。
各大数据源的类图结构<br>
上图展示了一部分数据源,当然不止这些,可以看到,无论指定使用哪一种数据源,都只需要与配置文件打交道,而无需更改源码,这就是反射的灵活性!<br>
缺点<br>
破坏类的封装性
破坏类的封装性
可以强制访问private修饰的信息
很明显的一个特点, 反射可以获取类中被private修饰的变量、方法和构造器, 这违反了面向对象的封装特性<br>
因为被private修饰意味着不想对外暴露, 只允许本类访问, 而setAccessable(true) 可以无视访问修饰符的限制,外界可以强制访问。
性能损耗<br>
性能损耗
反射相比直接实例化对象、调用方法、访问变量,中间需要非常多的检查步骤和解析步骤, JVM无法对它们优化
直接new对象,并调用对象方法和访问属性时<br>
编译器会在编译期提前检查可访问性
如果尝试进行不正确的访问, IDE会提前提示错误
例如,参数传递类型不匹配, 非法访问private属性和方法。
利用反射操作对象时
编译器无法提前得知对象的类型,访问是否合法,参数传递类型是否匹配。<br>
只有在程序运行时,调用反射的代码时,才会从头开始检查、调用、返回结果, JVM也无法对反射的代码进行优化。
虽然反射具有性能损耗的特点,但是我们不能一概而论,产生了使用反射就会性能下降的思想<br>
反射的慢,需要同时调用上100W次才可能体现出来,在几次、几十次的调用,并不能体现反射的性能低下<br>
不要一味地戴有色眼镜看反射,在单次调用反射的过程中,性能损耗可以忽路不计。
如果程序的性能要求很高,那么尽量不要使用反射。
动态语言
指程序在运行时可以改变其结构
新的函数可以引进,已有的函数可以被删除等结构上的变化
动态语言
JavaScript
Ruby
Python
不属于动态语言
C
C++
从反射角度说,JAVA属于半动态语言。
图解反射
图解反射
Java反射API
反射API用来生成JVM中的类、接口或则对象的信息。
1. Class类:反射的核心类,可以获取类的属性,方法等信息。
2. Field类:Java.lang.reflec包中的类,表示类的成员变量,可以用来获取和设置类之中的属性值。
3. Method类: Java.lang.reflec包中的类,表示类的方法,它可以用来获取类中的方法信息或者执行方法。
4. Constructor类: Java.lang.reflec包中的类,表示类的构造方法。
反射使用步骤(获取Class对象、调用对象方法)
1. 获取想要操作的类的Class对象,他是反射的核心,通过Class对象我们可以任意调用类的方法。
2. 调用Class类中的方法,既就是反射的使用阶段。
3. 使用反射API来操作这些信息。
反射的基本使用,与Java反射有关的类,Java反射的主要组成部分有4个
在Java中,使用Java.lang.reflect包实现了反射机制。
Java.lang.reflect所设计的类如下<br>
Java.lang.reflect
与Java反射有关的类
如果父类的属性用protected修饰, 利用反射是无法获取到的。<br>
protected修饰符的作用范围:只允许同一个包下或者子类访问, 可以维承到子类。
getFields()只能获取到本类的public属性的变量值:
getDeclaredFields()只能获取到本类的所有属性, 不包括继承的;<br>
无论如何,都获取不到父类的protected属性修饰的变量, 但是它的的确确存在于子类中
常见问题
你用过反射吗?
说说你知道的反射机制?
如何使用反射调用是有方法?
invoke?
什么是反射?
编码方式
两大字符集
ASCII
什么是ASCII?
ASCII( American Standard Code for InformationInterchange,美国信息交换标准代码),
是基于拉丁字母的⼀套电脑编码系统
主要⽤于显⽰现代英语和其他西欧语⾔。
现今最通⽤的单字节编码系统,并等同于国际标准ISO/IEC646
什么是标准ASCII 码 ?
也叫基础ASCII 码
使⽤7位⼆进制数( 剩下的1 位⼆进制为0)来表⽰所有的⼤写和⼩写字母
数字0 到9、标点符号,以及在美式英语中使⽤的特殊控制字符。
其中:
0~31 及127(共33 个)是
ASCII 值为8、9、10 和13
分别转换为退格、制表、换⾏和回车字符。
它们并没有特定的图形显⽰, 但会依不同的应⽤程序,⽽对⽂本显⽰有不同的影响:
控制字符
LF( 换⾏)
CR( 回车)
FF( 换页)
DEL( 删除)
BS( 退格)
BEL( 响铃)等
通信专⽤字符
SOH( ⽂头)
EOT( ⽂尾)
ACK(确认)等
32~126(共95 个)是字符(32 是空格)
其余为可显⽰字符
其中48~57 为0 到9⼗个阿拉伯数字。
65~90 为26 个⼤写英⽂字母
97~122 号为26 个⼩写英⽂字母
其余为⼀些标点符号、运算符号等。
ASCII 码只能满足美国人的使用
ASCII 码,只有256 个字符,
美国人倒是没啥问题了,他们用到的字符几乎都包括了,
但是世界上不只有美国程序员啊,所以需要一种更加全面的字符集。
Unicode
什么是Unicode?
Unicode(中文:万国码、国际码、统一码、单一码)
是计算机科学领域里的一项业界标准。
它对世界上大部分的文字系统进行了整理、编码,使得计算机可以用更为简单的方式来呈现和处理文字。
Unicode 是容纳世界所有文字符号的国际标准编码,使用四个字节为每个字符编码。
unicode 虽然统一了全世界字符的二进制编码,但没有规定如何存储
广义的Unicode是一个标准,定义了
一个字符集
一系列的编码规则
Unicode 可以表示中文
Unicode被广泛应用于计算机软件领域
Unicode 伴随着通用字符集的标准而发展,同时也以书本的形式对外发表。
Unicode 备受认可,并广泛地应用于计算机软件的国际化与本地化过程<br>
有很多新科技,都采用Unicode 编码
可扩展置标语言(简称:XML)
Java 编程语言
现代的操作系统
Unicode至今仍在不断增修
Unicode至今仍在不断增修,每个新版本都加入更多新的字符。
目前最新的版本为2018 年6 月5日公布的11.0.0,已经收录超过13 万个字符。
(第十万个字符在2005 年获采纳)
Unicode 发展由非营利机构统一码联盟负责
该机构致力于
让Unicode 方案取代既有的字符编码方案。
因为既有的方案往往空间非常有限,亦不适用于多语环境。
Unicode 涵盖的数据
视觉上的字形
编码方法
标准的字符编码
字符特性,如大小写字母。
子主题<br>
有了Unicode 为啥还需要UTF-8?
广义的Unicode是一个标准,定义了
一个字符集
即Unicode 字符集
一系列的编码规则
UTF-8、
UTF-16、
UTF-32
有了Unicode 为啥还需要UTF-8?
Unicode 是字符集
UTF-8 是编码规则
Unicode 的多种存储方式的诞生背景
unicode 虽然统一了全世界字符的二进制编码,但没有规定如何存储
如果Unicode 统一规定,每个符号就要用三个或四个字节表示,因为字符太多,只能用这么多字节才能表示完全。
一旦这么规定,那么每个英文字母前都必然有二到三个字节是0,
因为所有英文字母在ASCII 中都有,都可以用一个字节表示,剩余字节位置就要补充0。
如果这样,文本文件的大小会因此大出二三倍,这对于存储来说是极大的浪费。
这样导致一个后果:出现了Unicode 的多种存储方式。
UTF 系列编码方案/编码规则
UTF
是什么?
Unicode Transformation Format 的英文缩写
意为把Unicode 字符转换为某种格式。
UTF 系列编码方案
(UTF-8、UTF-16、UTF-32)
均是由Unicode编码方案衍变而来,以适应不同的数据存储或传递
<div class="mind-clipboard">它们都可以完全表示Unicode 标准中的所有字符</div>
目前,这些衍变方案中,UTF-8 被广泛使用,而UTF-16 和UTF-32则很少被使用。
UTF-8
UTF-8是什么?
通过他的英文名Unicode Tranformation Format 就可以知道
UTF-8 就是Unicode 的一个使用方式
使用可变长度(1至4个)字节来储存Unicode 字符,为每个字符编码<br>
使用1 字节储存
ASCII 字母
使用2 字节来储存
重音文字
希腊字母
西里尔字母
使用3 字节来储存
常用的汉字
<div>大部分汉字</div><div></div>
使用4 字节来储存
<div>少量<span style="font-size: inherit;">不常用汉字</span></div>
辅助平面字符
UTF-8被广泛应用的原因
<div>因为UTF-8 是可变长度的编码方式,相对于Unicode<span style="font-size: inherit;">编码可以减少存储占用的空间</span></div><div></div><div></div><div></div>
因为使用这种编码方式可以大大节省空间。
比如纯英文网站,就要比纯中文网站,占用的存储小一些。
一般情况下,同一个地区只会出现一种文字类型,
比如中文地区,一般很少出现韩文,日文等。
UTF-16
使用二或四个字节为每个字符编码,其中
大部分汉字采用两个字节编码
少量不常用汉字采用四个字节编码
编码有大尾序和小尾序之别
UTF-16BE
UTF-16BE 以FEFF代表
UTF-16LE
UTF-16LE 以FFFE 代表
在编码前,会放置一个 或
U+FEFF
其中U+FEFF 字符在Unicode 中代表的意义是ZERO WIDTH NO-BREAK SPACE
顾名思义,它是个没有宽度,也没有断字的空白。
U+FFFE
UTF-32
使用四个字节为每个字符编码,使得UTF-32 占用空间,通常会是其它编码的二到四倍。
与UTF-16 一样,有大尾序和小尾序之别,编码前会放置两个内容,以区分。
U+0000FEFF
U+0000FFFE
有了UTF8 为什么还需要GBK?
其实UTF8 确实已经是国际通用的字符编码了,但是这种字符标准毕竟是外国定的,
而国内也有类似的标准指定组织,也需要制定一套国内通用的标准,于是GBK 就诞生了。
GBK系列的编码方式
GB2312(1980 年)
16 位字符集,收录有6763 个简体汉字,682 个符号,共7445 个字符; <br>
优点
适用于简体中文环境,
属于中国国家标准,通行于大陆,新加坡等地也使用此编码;
缺点
不兼容繁体中文,其汉字集合过少。
GBK(1995 年)
16 位字符集,收录有21003 个汉字,883 个符号,共21886 个字符; <br>
优点
最常用的
适用于简繁中文共存的环境,为简体Windows 所使用(代码页cp936)
向下完全兼容gb2312,向上支持ISO-10646 国际标准;
所有字符都可以一对一映射到unicode2.0 上;
缺点
不属于官方标准,和big5 之间需要转换;
很多搜索引擎都不能很好地支持GBK 汉字。
GB18030(2000 年)
32 位字符集;收录了27484 个汉字,同时收录了藏文、蒙文、维吾尔文等主要的少数民族文字
优点
可以收录所有你能想到的文字和符号,属于中国最新的国家标准;
缺点
目前支持它的软件较少
URL 编解码
为什么需要编码
网络标准RFC1738 做了硬性规定
只有一些内容,才可以不经过编码,直接用于URL
字母
数字[0-9a-zA-Z]
一些特殊符号“$-_.+!*'(),”[不包括双引号]
某些保留字
除此以外的字符,是无法在URL 中展示的,所以,遇到这种字符,如中文,就需要进行编码。
URL 编码
把 带有特殊字符的URL 转成可以显示的URL 过程
URL解码
把可以显示的URL 转成带有特殊字符的URL 过程
URL编码可以使用不同的方式, 如<br>
escape
URLEncode<br>
encodeURIComponent
Big Endian大端序 和Little Endian小端序
字节序是什么?
字节顺序
指的是多字节的数据,在内存中的存放顺序
在几乎所有的机器上,多字节对象都被存储为连续的字节序列。
举例
如果C/C++中的一个int 型变量a 的起始地址是&a = 0x100,
<div class="mind-clipboard">那么a 的四个字节,将被存储在存储器的0x100, 0x101, 0x102, 0x103 位置。</div>
根据整数a 在连续的4 byte 内存中的存储顺序,字节序被分为两类
大端序(BigEndian)
指低地址端存放高位字节
Java 采用Big Endian 来存储数据
小端序(Little Endian)
指低地址端存放低位字节。
C\C++采用Little Endian
比如数字0x12345678 ,在两种不同字节序,CPU 中的存储顺序不同
Big Endian:
12345678
Little Endian :
78563412
网络传输一般采用的网络字节序是BIG-ENDIAN,和Java 是一致的
通信的双方都是C/C++
用C/C++写通信程序时
在发送数据前,务必把整型和短整型的数据,进行从主机字节序到网络字节序的转换,
而接收数据后,对于整型和短整型数据,则必须实现从网络字节序到主机字节序的转换
通信的一方是JAVA 程序、一方是C/C++程序时
在C/C++一侧,使用以上几个方法进行字节序的转换<br>
JAVA 一侧,则不需要做任何处理,
因为JAVA 字节序与网络字节序都是BIG-ENDIAN,
只要C/C++一侧能正确进行转换即可
(发送前从主机序到网络序,接收时反变换)
如果通信的双方都是JAVA,
根本不用考虑字节序的问题了。
时间处理
时区与时差<br>
时区是什么?
时区是地球上的区域使用同一个时间定义。
以前,人们通过观察太阳的位置(时角)决定时间,这就使得不同经度的地方的时间有所不同(地方时)
1863 年,首次使用时区的概念。
时区通过设立一个区域的标准时间部分地解决了这个问题。
时差是什么?
世界各个国家位于地球不同位置上,
因此不同国家,特别是东西跨度大的国家日出、日落时间必定有所偏差。
这些偏差就是所谓的时差
全球共分为24 个时区
为了照顾到各地区的使用方便,又使其他地方的人容易将本地的时间换算到别的地方时<br>间上去。有关国际会议决定将地球表面按经线从东到西,划成一个个区域,并且规定相邻区<br>域的时间相差1 小时。在同一区域内的东端和西端的人看到太阳升起的时间最多相差不过1<br>小时。当人们跨过一个区域,就将自己的时钟校正1 小时(向西减1 小时,向东加1 小时),<br>跨过几个区域就加或减几小时。这样使用起来就很方便。现今全球共分为24 个时区。
时区并不严格按南北直线来划分,而是按自然条件来划分
实用上常常1 个国家,或1 个省份同时跨着2 个或更多时区,为了照顾到行政上的方便,<br>常将1 个国家或1 个省份划在一起。所以时区并不严格按南北直线来划分,而是按自然条件<br>来划分。
例如,中国幅员宽广,差不多跨5 个时区,但为了使用方便简单,实际上在只用<br>东八时区的标准时,即北京时间为准。
北京时间比洛杉矶时间早15 或者16 个小时。具体和时令有关。
北京时间比纽约时间早12 或者13 个小时。具体和时令有关。
冬令时和夏令时
夏令时、冬令时的出现,是为了充分利用夏天的日照,所以时钟要往前拨快一小时,冬<br>天再把表往回拨一小时。其中夏令时从3 月第二个周日持续到11 月第一个周日。<br>冬令时: 北京和洛杉矶时差:16 北京和纽约时差:13<br>夏令时: 北京和洛杉矶时差:15 北京和纽约时差:12
使用new Date()就可以获取中国的当前时间
由于不同的时区的时间是不一样的,甚至同一个国家的不同城市时间都可能不一样<br>
所以,在Java 中想要获取时间时,要重点关注一下时区问题。
默认情况下,如果不指明,在创建日期时,会使用当前计算机所在的时区作为默认时区
这也是为什么我们通过只要使用new Date()就可以获取中国的当前时间的原因。
时间戳(timestamp)
时间戳(timestamp)
一份能够表示一份数据在一个特定时间点已经存在的、完整的、可验证的数据。<br>
通常是一个字符序列,唯一地标识某一刻的时间。
指格林威治时间1970 年01 月01 日00 时00 分00 秒(北京时间1970 年01 月01 日08 时00 分00 秒)起至现在的总秒数。
几种常见时间的含义和关系
GMT
代表
格林威治时间
格林尼治平时
格林尼治标准时间
(旧译)
格林威治标准时间
格林尼治平均时间
英语:Greenwich Mean Time,GMT
定义
是指位于英国伦敦郊区的皇家格林尼治天文台的标准时间(当地的平太阳时),因为本初子午线被定义在通过那里的经线。
自1924 年2 月5 日开始,格林尼治天文台负责每隔一小时向全世界发放调时信息。<br>
格林尼治平时的正午是指当平太阳横穿格林尼治子午线时的时间。<br>
(也就是在格林尼治上空最高点时)
被原子钟报时的协调世界时(UTC)所取代
由于地球每天的自转是有些不规则的,而且正在缓慢减速,
因此格林尼治平时基于天文观测本身的缺陷,
已经被原子钟报时的协调世界时(UTC)所取代。
一般使用GMT+8 表示中国的时间,是因为中国位于东八区,时间上比格林威治时间快8 个小时。
CST
北京时间,China Standard Time,又名中国标准时间,是中国的标准时间。
在时区划分上,属东八区,比协调世界时早8 小时,记为UTC+8,与中华民国国家标准时间(旧<br>称“中原标准时间”)、香港时间和澳门时间和相同。
当格林威治时间为凌晨0:00 時,中国标准时间刚好为上午8:00。
UTC
协调世界时,又称世界标准时间或世界协调时间,简称UTC,从法文和英文而来
法文“Temps Universel Cordonné”
英文“Coordinated Universal Time”
协调世界时,以原子时秒长为基础,在时刻上尽量接近于世界时的一种时间计量系统。
台湾,采用CNS 7648 的《资料元及交换格式–资讯交换–日期及时间的表示法》(与ISO 8601 类似)称之为世界统一时间。
中国大陆,采用ISO 8601-1988 的国标《数据元和交换格式信息交换日期和时间表示法》(GB/T 7408)中称之为国际协调时间。
CET
欧洲中部时间(英語:Central European Time,CET)
比世界标准时间(UTC)早一个小时的时区名称之一。
它被大部分欧洲国家和部分北非国家采用。
冬季时间为UTC+1,夏季欧洲夏令时为UTC+2。
关系
CET=UTC/GMT + 1 小时CST=UTC/GMT +8 小时CST=CET+9
SimpleDateFormat是什么?
Java 提供的一个格式化和解析日期的工具类。
<div>它允许进行</div>
格<span style="font-size: inherit;">式化(日期-> 文本)</span>
解析(文本-> 日期)
规范化
<div><span style="font-size: inherit;">SimpleDateFormat 使得可</span><span style="font-size: inherit;">以选择任何用户定义的日期-时间格式的模式。</span></div>
SimpleDateFormat 主要可以在String 和Date之间做转换, 还可以将时间转换成不同时区输出
SimpleDateFormat 类把时间显示成需要的格式
在日常开发中,经常会用到时间,我们有很多办法在Java 代码中获取时间。<br>
但是不同的方法获取到的时间的格式都不尽相同,这时候就需要一种格式化工具,把时间显示成需要的格式。
最常用的方法就是使用SimpleDateFormat 类
日期和时间模式表达方法
在使用SimpleDateFormat 时,需要通过字母来描述时间元素,并组装成想要的日期和时间模式。
常用的时间元素和字母的对应表如下:
常用的时间元素和字母的对应表如下:
模式字母通常是重复的,其数量确定其精确表示。
常用的输出格式的表示方法
常用的输出格式的表示方法
yyyy 和YYYY 有什么区别?
使用SimpleDateFormat时,需要通过字母来描述时间元素,并组装成想要的日期和时间模式。
常用的时间元素和字母的对应表(JDK 1.8)如下:
常用的时间元素和字母的对应表(JDK 1.8)
可以看到,y 表示Year ,而Y 表示Week Year
什么是Week Year
不同的国家对于一周的开始和结束的定义是不同的。
在中国,把星期一作为一周的第一天
在美国,他们把星期日作为一周的第一天
同样,如何定义哪一周是一年当中的第一周?这也是一个问题,有很多种方式。
比如下图是2019 年12 月-2020 年1 月的一份日历。<br>
比如下图是2019 年12 月-2020 年1 月的一份日历。
到底哪一周才算2020 年的第一周呢?不同的地区和国家,甚至不同的人,都有不同的理解。
1、1 月1 日是周三,到下周三(1 月8 日),这7 天算作这一年的第一周。
2、因为周日(周一)才是一周的第一天,所以,要从2020 年的第一个周日(周一)开始往后推7 天才算这一年的第一周。
3、因为12.29、12.30、12.31 是2019 年,而1.1、1.2、1.3 才是2020 年,而1.4周日是下一周的开始,所以,第一周应该只有1.1、1.2、1.3 这三天。
ISO 8601
ISO 8601是什么?
因为不同人对于日期和时间的表示方法有不同的理解,于是,大家就共同制定了了一个国际规范:ISO 8601 。
国际标准化组织的国际标准ISO 8601 是日期和时间的表示方法,。
全称为《数据存储和交换形式·信息交换·日期和时间的表示方法》
在ISO 8601中,对于一年的第一个日历星期有以下四种等效说法
1,本年度第一个星期四所在的星期;
2,1 月4 日所在的星期;
3,本年度第一个至少有4 天在同一星期内的星期;
4,星期一在去年12 月29 日至今年1 月4 日以内的星期;
根据这个标准,可以推算出:
2020 年第一周:2019.12.29-2020.1.4。<br>
所以,根据ISO 8601 标准,2019 年12 月29 日、2019 年12 月30 日、2019 年12 月31 日这两天,
其实不属于2019 年的最后一周,而是属于2020 年的第一周。
JDK 针对ISO 8601 提供的支持
根据ISO 8601 中关于日历星期和日表示法的定义,2019.12.29-2020.1.4 是2020年的第一周。
希望输入一个日期,然后程序告诉,根据ISO 8601 中关于日历日期的定义,这个日期到底属于哪一年。
比如我输入2019-12-20,他告诉我是2019;
而我输入2019-12-30 的时候,他告诉我是2020。
为了提供这样的数据,Java 7 引入了「YYYY」作为一个新的日期模式来作为标识。<br>
使用「YYYY」作为标识,再通过SimpleDateFormat 就可以得到一个日期所属的周属于哪一年了。
所以,当要表示日期时,一定要使用yyyy-MM-dd ,而不是YYYY-MM-dd,这两者的返回结果大多数情况下都一样,但是极端情况就会有问题了。
SimpleDateFormat 用法
format 方法
将一个Date 类型转化成String 类型,并且可以指定输出格式。
//Date 转String<br>Date data = new Date();<br>SimpleDateFormat sdf = new SimpleDateFormat("yyyy-MM-dd HH:mm:ss");<br>String dataStr = sdf.format(data);<br>System.out.println(dataStr);
以上代码,转换的结果是:2018-11-25 13:00,日期和时间格式由"日期和时间模式"字符串指定。
如果你想要转换成其他格式,只要指定不同的时间模式就行了。
parse 方法
将一个String 类型转化成Date 类型。
// String 转Data<br>System.out.println(sdf.parse(dataStr));
SimpleDateFormat获取并输出不同时区的时间
那么,如何在Java 代码中获取不同时区的时间呢?SimpleDateFormat 可以实现这个功能。
SimpleDateFormat sdf = new SimpleDateFormat("yyyy-MM-dd HH:mm:ss");<br>sdf.setTimeZone(TimeZone.getTimeZone("America/Los_Angeles"));<br>System.out.println(sdf.format(Calendar.getInstance().getTime()));<br>以上代码,转换的结果是: 2018-11-24 21 00 。
既中国的时间是11 月25 日的13 点,而美国洛杉矶时间比中国北京时间慢了16 个小时(这还和冬夏令时有关系,就不详细展开了)。
尝试打印一下美国纽约时间(America/New_York)。纽约时间是2018-11-25 00 00。纽约时间比中国北京时间早了13 个小时。
SimpleDateFormat 的线程安全性问题
很多人愿意使用如下方式定义SimpleDateFormat
SimpleDateFormat 比较常用
在一般情况下,一个应用中的时间显示模式都是一样的
代码说明
很多人愿意使用如下方式定义SimpleDateFormat
这种定义方式,存在很大的安全隐患。
问题重现:SimpleDateFormat使用不当出现线程安全问题
来看一段代码,以下代码使用线程池来执行时间输出。
代码段1
代码段2:以上代码,其实比较简单,很容易理解。
就是循环一百次,每次循环时,都在当前时间基础上增加一个天数(这个天数随着循环次数而变化),
然后把所有日期放入一个线程安全的、带有去重功能的Set 中,然后输出Set 中元素个数。
正常情况下,以上代码输出结果应该是100。但是实际执行结果是一个小于100 的数字。
原因就是,因为SimpleDateFormat 作为一个非线程安全的类,被当做了共享变量在多个线程中进行使用,这就出现了线程安全问题。
这是一个看上去功能比较简单的类,但是,一旦使用不当也有可能导致很大的问题。
在并发场景中SimpleDateFormat 是不能保证线程安全的,需要开发者自己来保证其安全性。
在Java 开发手册的第一章第六节——并发处理中关于这一点也有明确说明:
在Java 开发手册中,有如下明确规定
那么,接下来我们就来看下到底是为什么,以及该如何解决。<br>
SimpleDateFormat线程不安全的原因,SimpleDateFormat 底层原理?
通过以上代码,我们发现了在并发场景中使用SimpleDateFormat 会有线程安全问题。
其实,JDK 文档中已经明确表明了SimpleDateFormat 不应该用在多线程场景中:
Date formats are not synchronized. It is recommended to create<br>separate format instances for each thread. If multiple threads access a for<br>mat concurrently, it must be synchronized externally.
那么接下来分析下为什么会出现这种问题 ?
SimpleDateFormat 底层到底是怎么实现的?
SimpleDateFormat 类中format 方法的实现其实就能发现端倪。
SimpleDateFormat 类中format 方法
SimpleDateFormat 中的format 方法在执行过程中,会使用一个成员变量calendar来保存时间。
这其实就是问题的关键。
由于我们在声明SimpleDateFormat 的时候,使用的是static 定义的。
那么这个SimpleDateFormat 就是一个共享变量,随之,SimpleDateFormat 中的calendar 也就可以被多个线程访问到。
假设线程1 刚刚执行完calendar.setTime 把时间设置成2018-11-11,还没等执行完,<br>线程2 又执行了calendar.setTime 把时间改成了2018-12-12。这时候线程1 继续往下<br>执行,拿到的calendar.getTime 得到的时间就是线程2 改过之后的。
除了format 方法以外,SimpleDateFormat 的parse 方法也有同样的问题。<br>
所以,不要把SimpleDateFormat 作为一个共享变量使用。
如何解决SimpleDateFormat线程不安全的问题 ?
解决方案1:使用局部变量
使用局部变量
SimpleDateFormat 变成了局部变量,就不会被多个线程同时访问到了,就避免了线程安全问题。
解决方案2:使用synchronized 加同步锁
是对于共享变量进行加锁。
通过加锁,使多个线程排队顺序执行。避免了并发导致的线程安全问题。
其实以上代码还有可以改进的地方,就是可以把锁的粒度再设置的小一点,可以只对simpleDateFormat.format 这一行加锁,这样效率更高一些。
解决方案3:使用Threadlocal 为每一个线程单独创建一个
ThreadLocal 可以确保每个线程都可以得到单独的一个SimpleDateFormat 的对象,那么自然也就不存在竞争问题了。<br>
使用ThreadLocal
用ThreadLocal 来实现其实是有点类似于缓存的思路,
每个线程都有一个独享的对象,避免了频繁创建对象,也避免了多线程的竞争。
以上代码也有改进空间,SimpleDateFormat 的创建过程可以改为延迟加载
解决方案4:Java8使用DateTimeFormatter<br>
如果是Java8 应用,可以使用DateTimeFormatter 代替SimpleDateFormat
这是一个线程安全的格式化工具类。
就像官方文档中说的,这个类simple beautiful strong immutable thread-safe。
使用案例
如果是Java8 应用,可以使用DateTimeFormatter 代替SimpleDateFormat
Java 8 中的时间处理
Java8以前的版本,日期时间API 存在诸多问题
非线程安全
java.util.Date 是非线程安全的,所有的日期类都是可变的,这是Java 日期类最大的问题之一。
设计很差
Java 的日期/时间类的定义并不一致,在java.util 和java.sql 的包中都有日期类,此外用于格式化和解析的类在java.text 包中定义。
java.util.Date 同时包含日期和时间,而java.sql.Date 仅包含日期,将其纳入java.sql 包并不合理。
另外这两个类都有相同的名字,这本身就是一个非常糟糕的设计。
时区处理麻烦
日期类并不提供国际化,没有时区支持,
因此Java 引入了java.util.Calendar 和java.util.TimeZone 类,但他们同样存在上述所有的问题。
Java8,使用新的时间及⽇期API
Java 8 通过发布新的Date-Time API (JSR 310)来进一步加强对日期与时间的处理。
Java8 提供了一套新的时间处理API,这套API 比以前的时间处理API 要友好的多。
新的时间及⽇期API 位于java.time 包中,
新的java.time 包,涵盖了所有处理日期,时间,日期/时间,时区,时刻(instants),过程(during)与时钟(clock)的操作。
该包中有哪些重要的类。分别代表了什么?
LocalDate<br>
表⽰⽇期,只包含⽇期,年⽉⽇
⽐如: 2016-10-20
LocalTime
表⽰时间,只包含时间,时分秒
⽐如: 23:10
LocalDateTime<br>
包含⽇期 + 时间
⽐如: 2016-10-20 23:21
Instant: 时间戳<br>
Duration: 持续时间, 时间差
Period: 时间段
ZoneOffset: 时区偏移量, ⽐如: +8:00
ZonedDateTime: 带时区的时间
Clock: 时钟, ⽐如获取⽬前美国纽约的时间
新的时间及⽇期API的使用案例
获取当前时间
在Java8 中,使用如下方式获取当前时间:
LocalDate today = LocalDate.now();<br>int year = today.getYear();<br>int month = today.getMonthValue();<br>int day = today.getDayOfMonth();<br>System.out.printf("Year : %d Month : %d day : %d t %n", year,month, day);
创建指定日期的时间
LocalDate date = LocalDate.of(2018, 01, 01);
检查闰年
直接使⽤LocalDate 的isLeapYear 即可判断是否闰年:
LocalDate nowDate = LocalDate.now();<br>//判断闰年<br>boolean leapYear = nowDate.isLeapYear();
计算两个⽇期之间的天数和⽉数
在Java 8 中可以⽤java.time.Period 类来做计算。
Period period = Period.between(LocalDate.of(2018, 1, 5),LocalDate.of(2018,2, 5));
如何在东八区的计算机上获取美国时间 ?
在Java8 中
加入了对时区的支持
带时区的时间为分别
ZonedDate
ZonedTime
ZonedDateTime
其中,每个时区都对应着ID
地区ID都为“ { 区域} / { 城市} ” 的格式
如Asia/Shanghai、America/Los_Angeles 等。
直接使用以下代码即可输出美国洛杉矶的时间:
LocalDateTime now = LocalDateTime.now(ZoneId.of("America/Los_Angeles"));<br>System.out.println(now);
为什么以下代码无法获得美国时间呢?
System.out.println(Calendar.getInstance(TimeZone.getTimeZone("America/Los_Angeles")).getTime());
当使用System.out.println 来输出一个时间时,它会调用Date 类的toString 方法,而该方法会读取操作系统的默认时区来进行时间的转换。
Date 类的toString 方法
主要代码如上。
也就是说,如果想要通过System.out.println 输出一个Date 类时,
输出美国洛杉矶时间的话, 就需要想办法把defaultTimeZone改为America/Los_Angeles。
通过阅读Calendar 的源码,发现,getInstance 方法虽然有一个参数可以传入时区,但是并没有将默认时区设置成传入的时区。
而在Calendar.getInstance.getTime 后得到的时间只是一个时间戳,其中未保留任何和时区有关的信息,
所以,在输出时,还是显示的是当前系统默认时区的时间。
语法糖<br>
是什么?
语法糖(Syntactic Sugar),也称糖衣语法
是由英国计算机学家Peter.J.Landin发明的一个术语
指在计算机语言中添加的某种语法,这种语法对语言的功能并没有影响,但是更方便程序员使用。
在编程领域,除了语法糖,还有语法盐和语法糖精的说法
所熟知的编程语言中几乎都有语法糖
语法糖的多少是评判一个语言够不够牛逼的标准之一。
所谓语法糖就是提供给开发人员便于开发的一种语法而已。但是这种语法只有开发人员认识。
好处
语法糖让程序更加简洁,有更高的可读性。
语法糖的存在主要是方便开发人员使用
更方便程序员使用
语法糖的作用就是方便程序员的使用,但最终还是要转成编译器认识的语言。
有了这些语法糖,在日常开发时,可大大提升效率,但是同时也要避免过渡使用。使用之前最好了解下原理,避免掉坑。
Java 是一个“低糖语言”
其实从Java 7 开始,Java 语言层面上一直在添加各种糖
从Java 7 开始,Java 语言中的语法糖在逐渐丰富
比如,java7的switch开始支持String
主要是在“Project Coin”项目下研发。
尽管现在Java 有人还是认为现在的Java 是低糖,未来还会持续向着“高糖”的方向发展。
解语法糖
语法糖的存在主要是方便开发人员使用。
但是,其实Java 虚拟机并不支持这些语法糖。
要想被执行,需要进行解糖,即转成JVM 认识的语法。
这些语法糖在编译阶段就会被还原成简单的基础语法结构,
把语法糖解糖之后,这些语法其实都是一些其他更简单的语法构成的。
编译与解语法糖
Java 语言中,javac 命令可以将后缀名为.java 的源文件编译为后缀名为.class的可以运行于JVM的字节码。<br>
如果去看com.sun.tools.javac.main.JavaCompiler 的源码,
在compile()中有一个步骤就是调用desugar(),这个方法就是负责解语法糖的实现的。
Java 中最常用的语法糖
糖块一、switch 支持String 与枚举
背景
Java 中的switch 自身原本就支持基本类型<br>
比如int、char 等。
对于int 类型,直接进行数值的比较。
对于char 类型则是比较其ascii 码。
对于编译器来说,switch 中其实只能使用整型,任何类型的比较都要转换成整型。
比如byte,short,char(ackii 码是整型)以及int。
Java 7 中switch 开始支持String
switch 对String的支持
样例代码
子主题<br>
反编译后内容如下:
反编译后内容如下:
看到这个代码,原来字符串的switch 是通过equals()和hashCode()方法来实现的。
还好hashCode()方法返回的是int,而不是long。
仔细看下可以发现,进行switch 的实际是哈希值,然后通过使用equals 方法比较进<br>行安全检查,这个检查是必要的,因为哈希可能会发生碰撞。
因此它的性能是不如使用枚举进行switch 或者使用纯整数常量,但这也不是很差。
糖块二、泛型<br>
很多语言都是支持泛型的,不同的编译器对于泛型的处理方式是不同的<br>
两种编译器处理泛型的方式
Code specialization
C++和C#是使用Code specialization 的处理机制
Code sharing
而Java 使用的是Code sharing 的机制
为每个泛型类型创建唯一的字节码表示,并且将该泛型类型的实例都映射到这个唯一的字节码表示上。
将多种泛型类形实例,映射到唯一的字节码表示,是通过类型擦除实现的。
通过类型擦除的方式,进行解语法糖
类型擦除(type erasue)
JVM根本不认识Map<String, String> map 这样的语法,需要在编译阶段,通过类型擦除的方式,进行解语法糖。
类型擦除的主要过程如下
1.将所有的泛型参数用其最左边界(最顶级的父类型)类型替换。<br>
2.移除所有的类型参数。
JVM虚拟机中,没有泛型,只有普通类和普通方法,所有泛型类的类型参数在编译时,都会被擦除,泛型类,并没有自己独有的Class 类对象。
比如,并不存在List<String>.class 或是List<Integer>.class,而只有List.class。
代码说明
1、Map<String ,String>map的例子
样例代码
Map<String, String> map = new HashMap<String, String>();<br>map.put("name", "hollis");<br>map.put("wechat", "Hollis");<br>map.put("blog", "www.hollischuang.com");<br>
解语法糖之后会变成:
Map map = new HashMap();<br>map.put("name", "hollis");<br>map.put("wechat", "Hollis");<br>map.put("blog", "www.hollischuang.com");
2、public static <A extends Comparable<A>> A max
样例代码
样例代码
类型擦除后会变成:
类型擦除后会变成:
可能遇到的坑
当泛型遇到重载<br>
public class GenericTypes{<br>public static void method(List<String> list) {<br>System.out.println("invoke method(List<String> list)");<br>}<br>public static void method(List<Integer> list) {<br>System.out.println("invoke method(List<Integer> list)");<br>}}
上面这段代码,有两个重载函数,因为参数类型不同
一个是List<String>
另一个是List<Integer>
但是,这段代码是编译通不过的。
参数List 和List 编译之后都被擦除了,
变成了一样的原生类型List,
擦除动作导致这两个方法的特征签名变得一模一样。
当泛型,遇到catch
当泛型遇到catch ,泛型的类型参数不能用在Java 异常处理的catch 语句中。
因为,异常处理是由JVM 在运行时刻来进行的。
由于类型信息被擦除,JVM 是无法区分两个异常类型MyException<String>和MyException<Integer>的。
当泛型内包含静态变量
以上代码输出结果为:2!
由于经过类型擦除,所有的泛型类实例都关联到同一份字节码上,泛型类的所有静态变量是共享的。
糖块三、自动装箱与拆箱
糖块四、方法变长参数
可变参数是什么?<br>
可变参数(variable arguments)
在Java 1.5 中引入的一个特性。
它允许一个方法把任意数量的值作为参数。
可变参数代码demo
看下以下可变参数代码,其中print 方法接收可变参数:<br>
反编译后代码
反编译后代码:
从反编译后代码可以看出,可变参数在被使用时,
(1)创建一个数组,数组的长度就是调用该方法是传递的实参的个数,
(2)再把参数值全部放到这个数组当中,
(3)把这个数组作为参数传递到被调用的方法中。
PS:反编译后的print 方法声明中有一个transient 标识
糖块五 、 枚举
Java的枚举类型
Java SE5提供了一种新的类型
关键字enum可以将一组具名的值的有限集合创建为一种新的类型,而这些具名的值可以作为常规的程序组件使用
一种非常有用的功能
源码分析
要想看源码,首先得有一个类吧,那么枚举类型到底是什么类呢?是enum吗?
答案很明显不是,enum就和class一样,只是一个关键字,他并不是一个类,那么枚举是由什么类维护的呢
简单的写一个枚举
反编译后代码内容如下:
反编译后代码内容如下:
通过反编译后代码我们可以看到,
public final class T extends Enum,
该类是继承了Enum类的,
final关键字,这个类也是不能被继承的。
当使用enmu来定义一个枚举类型时,编译器会自动创建一个final类型的类继承Enum类,所以枚举类型不能被继承。
糖块六、内部类
内部类是什么?
又称为嵌套类<br>
可以把内部类理解为外部类的一个普通成员
内部类也是一种语法糖
内部类之所以也是语法糖,是因为它仅仅是一个编译时的概念
outer.java 里面定义了一个内部类inner,一旦编译成功,就会生成两个完全不同的.class 文件了
outer.class
outer$inner.class。
所以,内部类的名字完全可以和它的外部类名字相同
内部类的名字完全可以和它的外部类名字相同
以上代码编译后会生成两个class 文件:
OutterClass$InnerClass.class
OutterClass.class
当尝试对OutterClass.class 文件进行反编译,命令行会打印以下内容:
Parsing OutterClass.class...<br>
Parsing inner class OutterClass$InnerClass.class...
Generating OutterClass.jad 。
他会把两个文件全部进行反编译,然后一起生成一个OutterClass.jad 文件。
文件内容如下:
文件内容如下:
糖块七、条件编译
什么是条件编译
—般情况下,程序中的每一行代码都要参加编译。
但有时候出于对程序代码优化的考虑,希望只对其中一部分内容进行编译
此时就需要在程序中加上条件,让编译器只对满足条件的代码进行编译,将不满足条件的代码舍弃
条件编译具体在不同语言中是如何实现的呢?
在C 或C++中,
可以通过预处理语句来实现条件编译
在Java 中,
也可实现条件编译。
Java 语法的条件编译,是通过判断条件为常量的if 语句实现的。
根据if 判断条件的真假,编译器直接把分支为false 的代码块消除。
Java的条件编译具有局限性
通过该方式实现的条件编译,必须在方法体内实现,
而无法在正整个Java 类的结构或者类的属性上进行条件编译
这与C/C++的条件编译相比,确实更有局限性。
在Java 语言设计之初并没有引入条件编译的功能,虽有局限,但是总比没有更强。
其原理也是Java 语言的语法糖
举证说明
先来看一段代码
先来看一段代码
反编译后代码如下:
反编译后代码如下:
首先,在反编译后的代码中没有System.out.println("Hello, ONLINE!");,这其实就是条件编译。
当if(ONLINE)为false 时,编译器就没有对其内的代码进行编译。
糖块八、断言<br>
assert 关键字是什么?
从JAVA SE 1.4 引入的
为了避免和老版本的Java代码中使用了assert 关键字导致错误,Java 在执行时,默认是不启动断言检查的
这个时候, 所有的断言语句都将忽略!
如果要开启断言检查, 则需要用开关-enableassertions 或-ea 来开启。
关于断言的代码演示
看一段包含断言的代码:
看一段包含断言的代码:
反编译后代码如下:
很明显,反编译之后的代码要比我们自己的代码复杂的多。
很明显,反编译之后的代码要比我们自己的代码复杂的多。
使用了assert 这个语法糖节省了很多代码。
断言的底层
其实断言的底层实现就是if 语言
如果断言结果为true,则什么都不做,程序继续执行,
如果断言结果为false,则程序抛出AssertError 来打断程序的执行。
-enableassertions 会设置$assertionsDisabled 字段的值。
糖块九、数值字面量<br>
数值字面量是什么?
在java 7 中支持数值字面量,
不管是整数还是浮点数,都允许在数字之间插入任意多个下划线。
这些下划线不会对字面量的数值产生影响,目的就是方便阅读。
代码讲解
数值字面量代码<br>
数值字面量
反编译后:
反编译后就是把_删除了。
也就是说,编译器并不认识在数字字面量中的_,需要在编译阶段把他去掉。
糖块十、增强for 循环(for-each)<br>
增强for 循环(for-each)
相信大家都不陌生,日常开发经常会用到的<br>
他会比for循环要少写很多代码
语法糖背后是如何实现的呢?
for-each代码
for-each代码
反编译后代码
反编译后代码
代码很简单,for-each 的实现原理其实就是使用了普通的for 循环和迭代器。
会抛出ConcurrentModificationException 异常?<br>
例子
会抛出ConcurrentModificationException 异常。
Iterator在工作时,是不允许被迭代的对象被改变的
工作在一个独立的线程中,并且拥有一个mutex 锁。
Iterator 被创建之后,会建立一个指向原来对象的单链索引表
当原来的对象数量发生变化时,这个索引表的内容不会同步改变
所以当索引指针往后移动时,就找不到要迭代的对象
按照fail-fast 原则,Iterator 会马上抛出java.util.ConcurrentModificationException 异常。<br>
所以Iterator在工作时,是不允许被迭代的对象被改变的。
可以使用Iterator 本身的方法remove()
但可以使用Iterator 本身的方法remove(),来删除对象,
Iterator.remove() 方法
删除当前迭代对象
维护索引的一致性
糖块十一、try-with-resource
糖块十二、Lambda 表达式
Labmda 表达式不是匿名内部类的语法糖,但是他也是一个语法糖。<br>
实现方式其实是依赖了几个JVM 底层提供的lambda 相关api。
代码说明
简单的lambda 表达式
遍历一个list:
遍历一个list:
反编译后代码如下:
反编译后代码如下:
可以看到,在forEach 方法中,其实是调用了java.lang.invoke.LambdaMetafactory#metafactory 方法,
该方法的第四个参数implMethod 指定了方法实现。
<div class="mind-clipboard">可以看到这里,其实是调用了一个lambda$main$0 方法进行了输出。</div>
稍微复杂一点的lambda 表达式
先对List 进行过滤,然后再输出:
先对List 进行过滤,然后再输出:
反编译后代码如下:
两个lambda 表达式分别调用了lambda$main$1 和lambda$main$0 两个方法。
所以,lambda 表达式的实现其实是依赖了一些底层的api,
在编译阶段,编译器会把lambda 表达式进行解糖,转换成调用内部api 的方式。
为啥说他并不是内部类的语法糖呢
内部类在编译之后,会有两个class 文件
但是,包含lambda 表达式的类编译后只有一个文件。
JAVA复制
将一个对象的引用复制给另外一个对象,一共有三种方式。
第一种方式是直接赋值
在Java中,A a1 = a2,这实际上复制的是引用,也就是说a1和a2指向的是同一个对象。<br>
因此,当a1变化的时候,a2里面的成员变量也会跟着变化。
第二种方式是浅拷贝
浅复制(复制引用但不复制引用的对象)
创建一个新对象,然后将当前对象的非静态字段复制到该新对象,
如果字段是值类型的,那么对该字段执行复制;
如果该字段是引用类型的话,则复制引用但不复制引用的对象。
因此,原始对象及其副本引用同一个对象。
第三种是深拷贝。
深复制(复制对象和其应用对象)
深拷贝不仅复制对象本身,而且复制对象包含的引用指向的所有对象。
序列化(深clone一中实现)<br>
在Java语言里深复制一个对象,
常常可以先使对象实现Serializable接口,然后把对象(实际上只是对象的一个拷贝)写到一个流里,再从流里读出来,便可以重建对象。
常见问题
面向对象常见问题
接口和类的区别?如何定义不同的接口和类?
类的实现与继承有什么关系?
抽象类必须要有抽象方法吗?
抽象类能使用 final 修饰吗?<br>
final 在 java 中有什么作用?<br>
接口和抽象类有什么区别?
普通类和抽象类有哪些区别?
Java是否支持多继承?
类不支持多继承,接口支持多继承。
基础的常见问题
JDK 和 JRE 有什么区别?<br>
常见类的常见问题
== 和 equals 的区别是什么?
String 属于基础的数据类型吗?
java 中操作字符串都有哪些类?它们之间有什么区别?<br>
两个对象的 hashCode()相同,则 equals()也一定为 true,对吗?<br>
如何将字符串反转?<br>
String 类的常用方法都有那些?
String str="i"与 String str=new String(“i”)一样吗?
java 中的 Math.round(-1.5) 等于多少?<br>
其他问题
对象拷贝
为什么要使用克隆?
如何实现对象克隆?
深拷贝和浅拷贝区别是什么?
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